{smcl}
{com}{sf}{ul off}{txt}{.-}
      name:  {res}<unnamed>
       {txt}log:  {res}/Users/fredericcochinard/Dropbox/ACT_Health_JOP_replication_file/4.Logs/analysis_outcome.smcl
  {txt}log type:  {res}smcl
 {txt}opened on:  {res}18 Feb 2025, 16:45:23
{txt}
{com}.         
.         ******************************************************
.         * Setting up control vector and local for regression *
.         ******************************************************
.         
.         * This section creates locals that will be used during the analysis.
.         
.         *******************************************
.         ** Control vector and treatment variable **
.         *******************************************
.         
.         * Following the PAP, we need to set the following control variables
.         
.                 ** An indicator variable taking the value 1 if a health center is a HCII
.                 ** An indicator variable for whether the facility provides official delivery services
.                 ** An indicator variable for whether a health center has staff houses
.                 ** Whether household members report having used this health facility within the 12 months prior to the baseline
.                 ** Average education level of the female head of household in health center catchment area, measured in years of education
.                 ** Average household wealth level in the health center catchment area, calculated as the first component of a principal component analysis of the number of items of 17 assets (including cattle, radios, bicycles etc.) owned by the household.
.                 
.         **************************************************
.         ** Indices corresponds to the 4 main indicators **
.         **************************************************
.         
.         * We have different components
.                         * values of our utilization rate: _urate_z
.                         * treatment quality: _treatqual_z
.                         * patient satisfaction: _patsat_z
.                         * health outcome: _healthout_z
.                         * mortality outcome: _mortrate_05
.         
.         * We create it for endline, midline and baseline and one only irrespective to the timeline
.         
.         local e_indices e_urate_z e_treatqual_z e_patsat_z 
{txt}
{com}.         local m_indices m_urate_z m_treatqual_z m_patsat_z 
{txt}
{com}.         local b_indices b_urate_z b_treatqual_z b_patsat_z
{txt}
{com}.         local bm_indices bm_urate_z bm_treatqual_z bm_patsat_z
{txt}
{com}. 
.         local e_indices_ho e_healthout_z
{txt}
{com}.         local m_indices_ho m_healthout_z
{txt}
{com}.         local b_indices_ho b_healthout_z
{txt}
{com}.         local bm_indices_ho bm_healthout_z
{txt}
{com}.         
.         local e_indices_hc e_mortrate_05
{txt}
{com}.         local m_indices_hc m_mortrate_05
{txt}
{com}.         local b_indices_hc b_mortrate_05
{txt}
{com}.         local bm_indices_hc bm_mortrate_05
{txt}
{com}.         
.         local indices urate_z treatqual_z patsat_z commtg_z
{txt}
{com}.         local indices_ho healthout_z
{txt}
{com}.         local indices_hc mortrate_05 h_ctzpressure_z
{txt}
{com}.         
.         local keep
{txt}
{com}.         
.         foreach var in e m b bm {c -(}
{txt}  2{com}.         local keep `keep' ``var'_indices' ``var'_indices_ho' ``var'_indices_hc' 
{txt}  3{com}.         {c )-}
{txt}
{com}.         **********************
.         ** Index components **
.         **********************
.         
.         * Main indices
.         
.         ***************
.         * Utilization *
.         ***************
.         
.         * As we will regress the utilization rate over its non-standardized index components, we need to create a local
.         
.         *_ns stands for non-standardized and consists of non-standardized index components
.         
.         * We create local for utilization index without prefix
.         
.         local utilization urate_z hf_otherpract_z visit_hf_z
{txt}
{com}.         local utilization_ns urate_z hf_otherpract visit_hf
{txt}
{com}.         
.         local utilization_vacc immunization_z
{txt}
{com}.         local utilization_vacc_ns immunization
{txt}
{com}.         
.         * We create local for utilization index with prefix
.         
.         local b_utilization b_urate_z b_hf_otherpract_z b_visit_hf_z
{txt}
{com}.         local b_utilization_ns b_urate_z b_hf_otherpract b_visit_hf
{txt}
{com}.         
.         local m_utilization m_urate_z m_hf_otherpract_z m_visit_hf_z
{txt}
{com}.         local m_utilization_ns m_urate_z m_visit_hf m_hf_otherpract
{txt}
{com}.         
.         local e_utilization e_urate_z e_hf_otherpract_z e_visit_hf_z
{txt}
{com}.         local e_utilization_ns e_urate_z e_hf_otherpract e_visit_hf
{txt}
{com}.         
.         foreach var in e m b {c -(}
{txt}  2{com}.         local keep `keep' ``var'_utilization' ``var'_utilization_ns' 
{txt}  3{com}.         {c )-}
{txt}
{com}.         
.         *********************
.         * Treatment quality *
.         *********************
.         
.         * As we will regress the treatment quality over its non-standardized index components, we need to create a local
.         
.         *_ns stands for non-standardized and consists of non-standardized index components
.         
.         * We create local for treatment quality index without prefix
.         
.         local treatmentqual treatqual_z use_equip_z tot_wait_z trained_z exam_privacy_z taketest_z diagnosis_explained_z 
{txt}
{com}.         local treatmentqual_hclevel h_percentstaff_sv_z h_cleanliness_z h_meanstock_z
{txt}
{com}.         local treatmentqual_ns treatqual_z use_equip tot_wait trained exam_privacy taketest diagnosis_explained 
{txt}
{com}.         local treatmentqual_hclevel_ns h_percentstaff_sv h_cleanliness h_meanstock
{txt}
{com}.         
.         * We create local for treatment quality index with prefix
.         
.         local b_treatmentqual b_treatqual_z b_use_equip_z b_tot_wait_z b_trained_z b_exam_privacy_z b_taketest_z b_diagnosis_explained_z b_h_percentstaff_sv_z b_h_cleanliness_z b_h_meanstock_z
{txt}
{com}.         local b_treatmentqual_ns b_treatqual_z b_use_equip b_tot_wait b_trained b_exam_privacy b_taketest b_diagnosis_explained b_h_percentstaff_sv b_h_cleanliness b_h_meanstock
{txt}
{com}.         
.         local m_treatmentqual m_treatqual_z m_use_equip_z m_tot_wait_z m_trained_z m_exam_privacy_z m_taketest_z m_diagnosis_explained_z m_h_percentstaff_sv_z m_h_cleanliness_z m_h_meanstock_z
{txt}
{com}.         local m_treatmentqual_ns m_treatqual_z m_use_equip m_tot_wait m_trained m_exam_privacy m_taketest m_diagnosis_explained m_h_percentstaff_sv m_h_cleanliness m_h_meanstock
{txt}
{com}.         
.         local e_treatmentqual e_treatqual_z e_use_equip_z e_tot_wait_z e_trained_z e_exam_privacy_z e_taketest_z e_diagnosis_explained_z e_h_percentstaff_sv_z e_h_cleanliness_z e_h_meanstock_z
{txt}
{com}.         local e_treatmentqual_ns e_treatqual_z e_use_equip e_tot_wait e_trained e_exam_privacy e_taketest e_diagnosis_explained e_h_percentstaff_sv e_h_cleanliness e_h_meanstock
{txt}
{com}.         
.         ************************
.         * Patient satisfaction *
.         ************************
.         
.         * As we will regress the patient satisfaction over its non-standardized index components, we need to create a local
.         
.         *_ns stands for non-standardized and consists of non-standardized index components
.         
.         * We create local for patient satisfaction index without prefix
.         
.         local patsat patsat_z qualitycare_z politestaff_z interest_health_z stafflistening_z freeexpress_z yearb_avail_z
{txt}
{com}.         local patsat_ns patsat_z qualitycare politestaff interest_health stafflistening freeexpress yearb_avail
{txt}
{com}.         
.         local patsat_nobaseline qualityhc_d_z
{txt}
{com}.         local patsat_nobaseline_ns qualityhc_d
{txt}
{com}.         
.         * We create local for treatment quality index with prefix
.         
.         local b_patsat b_patsat_z b_qualitycare_z b_politestaff_z b_interest_health_z b_stafflistening_z b_freeexpress_z b_yearb_avail_z
{txt}
{com}.         local b_patsat_ns b_patsat_z b_qualitycare b_politestaff b_interest_health b_stafflistening b_freeexpress b_yearb_avail
{txt}
{com}.         
.         local m_patsat m_patsat_z m_qualityhc_d_z m_qualitycare_z m_politestaff_z m_interest_health_z m_stafflistening_z m_freeexpress_z m_yearb_avail_z
{txt}
{com}.         local m_patsat_ns m_patsat_z m_qualityhc_d m_qualitycare m_politestaff m_interest_health m_stafflistening m_freeexpress m_yearb_avail
{txt}
{com}.         
.         local e_patsat e_patsat_z e_qualityhc_d_z e_qualitycare_z e_politestaff_z e_interest_health_z e_stafflistening_z e_freeexpress_z e_yearb_avail_z
{txt}
{com}.         local e_patsat_ns e_patsat_z e_qualityhc_d e_qualitycare e_politestaff e_interest_health e_stafflistening e_freeexpress e_yearb_avail
{txt}
{com}.                 
.         *******************
.         * Health outcomes *
.         *******************
.         
.         * As we will regress the health outcome over its non-standardized index components, we need to create a local
.         
.         *_ns stands for non-standardized and consists of non-standardized index components
.         
.         * We create local for Health outcomes index without prefix
.         
.         local healthoutcomes_ho healthout_z 
{txt}
{com}.         local healthoutcomes_ho_ns healthout_z 
{txt}
{com}.         
.         local healthoutcomes_ho18m weight_18m_z muac_18m_z
{txt}
{com}.         local healthoutcomes_ho18m_ns weight_18m muac_18m
{txt}
{com}.         
.         local healthoutcomes_ho36m weight_36m_z muac_36m_z
{txt}
{com}.         local healthoutcomes_ho36m_ns weight_36m muac_36m
{txt}
{com}.         
.         * We create local for Health outcomes index with prefix
.         
.         local b_healthoutcomes b_healthout_z b_weight_18m_z b_weight_36m_z b_muac_18m_z b_muac_36m_z 
{txt}
{com}.         local b_healthoutcomes_ns b_healthout_z b_weight_18m b_weight_36m b_muac_18m b_muac_36m 
{txt}
{com}.         
.         local m_healthoutcomes m_healthout_z m_weight_18m_z m_weight_36m_z m_muac_18m_z m_muac_36m_z 
{txt}
{com}.         local m_healthoutcomes_ns m_healthout_z m_weight_18m m_weight_36m m_muac_18m m_muac_36m 
{txt}
{com}.         
.         local e_healthoutcomes e_healthout_z e_weight_18m_z e_weight_36m_z e_muac_18m_z e_muac_36m_z 
{txt}
{com}.         local e_healthoutcomes_ns e_healthout_z e_weight_18m e_weight_36m e_muac_18m e_muac_36m 
{txt}
{com}. 
.         *******************
.         * Child Mortality *
.         *******************
.         
.         * As we will regress the child mortality over its non-standardized index components, we need to create a local
.         
.         *_ns stands for non-standardized and consists of non-standardized index components
.         
.         * We create local for child mortality index without prefix
.         
.         local childmortality mortrate_05 mortrate_01 mortrate_15 
{txt}
{com}.         
.         * We create local for child mortality index with prefix
.         
.         local b_childmortality b_mortrate_05 b_mortrate_01 b_mortrate_15 
{txt}
{com}.         
.         local m_childmortality m_mortrate_05 m_mortrate_01 m_mortrate_15
{txt}
{com}.         
.         local e_childmortality e_mortrate_05 e_mortrate_01 e_mortrate_15
{txt}
{com}.         
.         ********************
.         * Citizen pressure *
.         *******************
.         
.         * As we will regress the citizen pressure over its non-standardized index components, we need to create a local
.         
.         *_ns stands for non-standardized and consists of non-standardized index components
.         
.         * We create local for citizen pressure index without prefix
.         
.         local ctzpressure_z h_ctzpressure_z h_wrong_z h_pressure_z
{txt}
{com}.         local ctzpressure_ns h_ctzpressure_z h_wrong h_pressure
{txt}
{com}.         
.         local m_ctzpressure_z h_ctzpressure_z h_wrong_z h_pressure_z
{txt}
{com}.         
.         local ctzpressure_nobase h_hw_report_z  
{txt}
{com}.         local ctzpressure_nobase_ns h_hw_report 
{txt}
{com}.         
.         * We create local for child mortality index with prefix
.         
.         local b_h_ctzpressure b_h_ctzpressure_z b_h_wrong_z b_h_pressure_z b_h_hw_report_z      
{txt}
{com}.         local b_h_ctzpressure_ns b_h_ctzpressure_z b_h_wrong b_h_pressure b_h_hw_report
{txt}
{com}.         
.         local bm_h_ctzpressure bm_h_ctzpressure_z bm_h_wrong_z bm_h_pressure_z  
{txt}
{com}.         
.         local m_h_ctzpressure m_h_ctzpressure_z m_h_wrong_z m_h_pressure_z
{txt}
{com}.         
.         local e_h_ctzpressure e_h_ctzpressure_z e_h_wrong_z e_h_pressure_z e_h_hw_report_z      
{txt}
{com}.         local e_h_ctzpressure_ns e_h_ctzpressure_z e_h_wrong e_h_pressure e_h_hw_report 
{txt}
{com}.         
.         **********************************************************
.         ** Controlvar corresponds to the main control variables **
.         **********************************************************
.         
.         * All the variable are measured at baseline
.                 * health center is a health center II: hc2
.                 * health center is providing a official delivery services: b_h_del
.                 * health center has a staff house: b_h_staff_houses 
.                 * the household declared to have visited the health center: b_visited_d
.                 * years of education of the interviewed head of HH: educyr
.                 * households asset index: b_assetindex
.         
.         local  m_controls_noprefix hc2 b_h_del b_h_staff_houses bm_visited_d bm_educyr bm_assetindex
{txt}
{com}.         local  e_controls_noprefix hc2 b_h_del b_h_staff_houses b_visited_d educyr b_assetindex
{txt}
{com}.                 
.         * We create the different type of local for the different sample at midline
.         
.         foreach x in m_ {c -(}
{txt}  2{com}.         
.                 local `x'controls
{txt}  3{com}.                 local `x'controls_vacm
{txt}  4{com}.                 local `x'controls_hom
{txt}  5{com}.                 local `x'controls_ho18m
{txt}  6{com}.                 local `x'controls_ho36m
{txt}  7{com}.                 local `x'controls_hc
{txt}  8{com}.                 local `x'controls_tfull
{txt}  9{com}.                 local `x'controls_tfull_hom
{txt} 10{com}.                 local `x'controls_tfull_ho18m
{txt} 11{com}.                 local `x'controls_tfull_ho36m
{txt} 12{com}.                 local `x'controls_tfull_hc
{txt} 13{com}.                 local `x'controls_tfull_homhc
{txt} 14{com}.                 
.                 local tfulli_homhc_`x'controls
{txt} 15{com}.                 
.                 {c )-}
{txt}
{com}.         
.         * We create the different type of local for the different sample at endline
.         
.         foreach x in e_ {c -(}
{txt}  2{com}.                 
.                 local `x'controls
{txt}  3{com}.                 local `x'controls_vace
{txt}  4{com}.                 local `x'controls_hoe
{txt}  5{com}.                 local `x'controls_ho18e
{txt}  6{com}.                 local `x'controls_ho36e
{txt}  7{com}.                 local `x'controls_hc
{txt}  8{com}.                 local `x'controls_tfull
{txt}  9{com}.                 local `x'controls_tfull_hoe
{txt} 10{com}.                 local `x'controls_tfull_ho18e
{txt} 11{com}.                 local `x'controls_tfull_ho36e
{txt} 12{com}.                 local `x'controls_tfull_hc
{txt} 13{com}.                 local `x'controls_tfull_hoehc
{txt} 14{com}.                 
.                 local tfulli_hoehc_`x'controls
{txt} 15{com}.                 
.                 {c )-}
{txt}
{com}.                 
.         * We create the different types of local for the interaction term at midline and endline and for each part of the factorial design
.         
.                 foreach x in m_ e_ {c -(}
{txt}  2{com}.                         foreach var in treatfull treatinfo treatinter {c -(}
{txt}  3{com}.                                 local `var'_int_`x'controls
{txt}  4{com}.                                 local `var'_hc_int_`x'controls
{txt}  5{com}.                                 {c )-}
{txt}  6{com}.                         {c )-}
{txt}
{com}.                         
.         * We do the same for the restricted sample (vaccinated, healthoutcome, healthoutcome under 18, under 36 at midline and endline)
.                 
.                 foreach x in m_ e_ {c -(}
{txt}  2{com}.                         foreach var in tfulli tinfoi tinteri {c -(}
{txt}  3{com}.                                 local `var'_vacm_`x'controls
{txt}  4{com}.                                 local `var'_hom_`x'controls
{txt}  5{com}.                                 local `var'_ho18m_`x'controls
{txt}  6{com}.                                 local `var'_ho36m_`x'controls
{txt}  7{com}.                                 local `var'_hoe_`x'controls
{txt}  8{com}.                                 local `var'_ho18e_`x'controls
{txt}  9{com}.                                 local `var'_ho36e_`x'controls
{txt} 10{com}.                                 {c )-}
{txt} 11{com}.                         {c )-}
{txt}
{com}.                 
.         * We populate the different local we previously created
.         
.                 foreach var of local m_controls_noprefix {c -(}
{txt}  2{com}.                         local m_controls `m_controls' c_`var'
{txt}  3{com}.                         local m_controls_hc `m_controls_hc' c_hc_`var'
{txt}  4{com}.                         local m_controls_tfull `m_controls_tfull' c_tfull_`var'
{txt}  5{com}.                         local m_controls_tfull_hc `m_controls_tfull_hc' c_tfull_hc_`var'
{txt}  6{com}.                         {c )-}
{txt}
{com}.                         
.                 foreach var of local e_controls_noprefix {c -(}
{txt}  2{com}.                         local e_controls `e_controls' c_`var'
{txt}  3{com}.                         local e_controls_hc `e_controls_hc' c_hc_`var'
{txt}  4{com}.                         local e_controls_tfull `e_controls_tfull' c_tfull_`var'
{txt}  5{com}.                         local e_controls_tfull_hc `e_controls_tfull_hc' c_tfull_hc_`var'
{txt}  6{com}.                         {c )-}
{txt}
{com}.                         
.                         
.                 foreach var of local m_controls_noprefix {c -(}
{txt}  2{com}.                         local m_controls_vacm `m_controls_vacm' c_vacm_`var'
{txt}  3{com}.                         local m_controls_hom `m_controls_hom' c_hom_`var'
{txt}  4{com}.                         local m_controls_ho18m `m_controls_ho18m' c_ho18m_`var'
{txt}  5{com}.                         local m_controls_ho36m `m_controls_ho36m' c_ho36m_`var'
{txt}  6{com}.                         local m_controls_tfull_vacm `m_controls_tfull_vacm' c_tfull_vacm_`var'
{txt}  7{com}.                         local m_controls_tfull_hom `m_controls_tfull_hom' c_tfull_hom_`var'
{txt}  8{com}.                         local m_controls_tfull_ho18m `m_controls_tfull_ho18m' c_tfull_ho18m_`var'
{txt}  9{com}.                         local m_controls_tfull_ho36m `m_controls_tfull_ho36m' c_tfull_ho36m_`var'
{txt} 10{com}.                         local m_controls_tfull_homhc `m_controls_tfull_homhc' c_tfull_homhc_`var'
{txt} 11{com}.                         {c )-}       
{txt}
{com}.                 
.                 foreach var of local e_controls_noprefix {c -(}
{txt}  2{com}.                         local e_controls_vace `e_controls_vacm' c_vace_`var'
{txt}  3{com}.                         local e_controls_hoe `e_controls_hoe' c_hoe_`var'
{txt}  4{com}.                         local e_controls_ho18e `e_controls_ho18e' c_ho18e_`var'
{txt}  5{com}.                         local e_controls_ho36e `e_controls_ho36e' c_ho36e_`var'
{txt}  6{com}.                         local e_controls_tfull_vace `e_controls_tfull_vace' c_tfull_vace_`var'
{txt}  7{com}.                         local e_controls_tfull_hoe `e_controls_tfull_hoe' c_tfull_hoe_`var'
{txt}  8{com}.                         local e_controls_tfull_ho18e `e_controls_tfull_ho18e' c_tfull_ho18e_`var'
{txt}  9{com}.                         local e_controls_tfull_ho36e `e_controls_tfull_ho36e' c_tfull_ho36e_`var'
{txt} 10{com}.                         local e_controls_tfull_hoehc `e_controls_tfull_hoehc' c_tfull_hoehc_`var'
{txt} 11{com}.                         {c )-}       
{txt}
{com}.                                 
.                 foreach treat in treatfull treatinfo treatinter {c -(}
{txt}  2{com}.                         foreach var of local m_controls_noprefix {c -(}
{txt}  3{com}.                                 local `treat'_int_m_controls ``treat'_int_m_controls' c_`treat'_`var'
{txt}  4{com}.                                 local `treat'_hc_int_m_controls ``treat'_hc_int_m_controls' c_`treat'_hc_`var'
{txt}  5{com}.                                 {c )-}
{txt}  6{com}.                         {c )-}
{txt}
{com}.                         
.                 foreach treat in treatfull treatinfo treatinter {c -(}
{txt}  2{com}.                         foreach var of local e_controls_noprefix {c -(}
{txt}  3{com}.                                 local `treat'_int_e_controls ``treat'_int_e_controls' c_`treat'_`var'
{txt}  4{com}.                                 local `treat'_hc_int_e_controls ``treat'_hc_int_e_controls' c_`treat'_hc_`var'
{txt}  5{com}.                                 {c )-}
{txt}  6{com}.                         {c )-}
{txt}
{com}.                         
.                 foreach treat in tfulli tinfoi tinteri {c -(}
{txt}  2{com}.                         foreach var of local m_controls_noprefix {c -(}
{txt}  3{com}.                                 local `treat'_vacm_m_controls ``treat'_vacm_m_controls' c_`treat'_vacm_`var'
{txt}  4{com}.                                 local `treat'_hom_m_controls ``treat'_hom_m_controls' c_`treat'_hom_`var'
{txt}  5{com}.                                 local `treat'_ho18m_m_controls ``treat'_ho18m_m_controls' c_`treat'_ho18m_`var'
{txt}  6{com}.                                 local `treat'_ho36m_m_controls ``treat'_ho36m_m_controls' c_`treat'_ho36m_`var'
{txt}  7{com}.                                 {c )-}               
{txt}  8{com}.                         {c )-}
{txt}
{com}.                         
.                 foreach treat in tfulli tinfoi tinteri {c -(}
{txt}  2{com}.                         foreach var of local e_controls_noprefix {c -(}
{txt}  3{com}.                                 local `treat'_vace_e_controls ``treat'_vace_e_controls' c_`treat'_vace_`var'
{txt}  4{com}.                                 local `treat'_hoe_e_controls ``treat'_hoe_e_controls' c_`treat'_hoe_`var'
{txt}  5{com}.                                 local `treat'_ho18e_e_controls ``treat'_ho18e_e_controls' c_`treat'_ho18e_`var'
{txt}  6{com}.                                 local `treat'_ho36e_e_controls ``treat'_ho36e_e_controls' c_`treat'_ho36e_`var'
{txt}  7{com}.                                 {c )-}
{txt}  8{com}.                         {c )-}
{txt}
{com}.                         
.                 foreach var of local m_controls_noprefix {c -(}
{txt}  2{com}.                                 local tfulli_homhc_m_controls `tfulli_homhc_m_controls' c_tfulli_homhc_`var'
{txt}  3{com}.                                 {c )-}
{txt}
{com}.                                 
.                 foreach var of local e_controls_noprefix {c -(}
{txt}  2{com}.                                 local tfulli_hoehc_e_controls `tfulli_hoehc_e_controls' c_tfulli_hoehc_`var'
{txt}  3{com}.                                 {c )-}
{txt}
{com}.                                 
.         * Omnibus case
.                         
.         * The Factorial design also implies the omnibus cas for which we create the local for the interaction
.                 
.                 
.                 foreach treat in fullomn infomn intomn {c -(}
{txt}  2{com}.                         foreach var of local m_controls_noprefix {c -(}
{txt}  3{com}.                                 local `treat'_int_m_controls ``treat'_int_m_controls' c_`treat'_`var'
{txt}  4{com}.                                 local `treat'_vacm_int_m_controls ``treat'_vacm_int_m_controls' c_`treat'_vacm_`var'
{txt}  5{com}.                                 local `treat'_hom_int_m_controls ``treat'_hom_int_m_controls' c_`treat'_hom_`var'
{txt}  6{com}.                                 local `treat'_ho18m_int_m_controls ``treat'_ho18m_int_m_controls' c_`treat'_ho18m_`var'
{txt}  7{com}.                                 local `treat'_ho36m_int_m_controls ``treat'_ho36m_int_m_controls' c_`treat'_ho36m_`var'
{txt}  8{com}.                                 local `treat'_hc_int_m_controls ``treat'_hc_int_m_controls' c_`treat'_hc_`var'
{txt}  9{com}.                                 {c )-}
{txt} 10{com}.                         {c )-}
{txt}
{com}.                         
.                 foreach treat in fullomn infomn intomn {c -(}
{txt}  2{com}.                         foreach var of local e_controls_noprefix {c -(}
{txt}  3{com}.                                 local `treat'_int_e_controls ``treat'_int_e_controls' c_`treat'_`var'
{txt}  4{com}.                                 local `treat'_vace_int_e_controls ``treat'_vace_int_e_controls' c_`treat'_vace_`var'
{txt}  5{com}.                                 local `treat'_hoe_int_e_controls ``treat'_hoe_int_e_controls' c_`treat'_hoe_`var'
{txt}  6{com}.                                 local `treat'_ho18e_int_e_controls ``treat'_ho18e_int_e_controls' c_`treat'_ho18e_`var'
{txt}  7{com}.                                 local `treat'_ho36e_int_e_controls ``treat'_ho36e_int_e_controls' c_`treat'_ho36e_`var'
{txt}  8{com}.                                 local `treat'_hc_int_e_controls ``treat'_hc_int_e_controls' c_`treat'_hc_`var'
{txt}  9{com}.                                 {c )-}
{txt} 10{com}.                         {c )-}
{txt}
{com}.         
.         * Additional variable for individual level health outcome
.         
.         local controls_noprefix hc2 b_h_del b_h_staff_houses b_visited_d educyr b_assetindex
{txt}
{com}.         
.         * We create the set of locals
.         
.         local controls
{txt}
{com}.         local controls_tfull
{txt}
{com}.         local controls_tfullho
{txt}
{com}.         local controls_tfullim
{txt}
{com}.         
.         forvalues x = 1/2 {c -(}
{txt}  2{com}.                 local controls_tfullho`x'
{txt}  3{com}.                 local controls_ho`x'
{txt}  4{com}.                 {c )-}
{txt}
{com}.                 
.         forvalues x = 1/4 {c -(}
{txt}  2{com}.                 local controls_tfullim`x'
{txt}  3{com}.                 local controls_im`x'
{txt}  4{com}.                 {c )-}
{txt}
{com}. 
.         foreach var in treatfull treatinter treatinfo {c -(}
{txt}  2{com}.                 local `var'_int_controls
{txt}  3{com}.                 {c )-}
{txt}
{com}.                 
.         forvalues x = 1/2 {c -(}
{txt}  2{com}.                 foreach var in treatfull treatinter treatinfo {c -(}
{txt}  3{com}.                         local `var'_ho`x'_controls
{txt}  4{com}.                         {c )-}
{txt}  5{com}.                 {c )-}
{txt}
{com}.         
.         forvalues x = 1/4 {c -(}
{txt}  2{com}.                 foreach var in treatfull treatinter treatinfo {c -(}
{txt}  3{com}.                         local `var'_im`x'_controls
{txt}  4{com}.                         {c )-}
{txt}  5{com}.                 {c )-}
{txt}
{com}.                 
.         * We populate the control variables we just created
.         
.         foreach var of local controls_noprefix {c -(}
{txt}  2{com}.                 local controls `controls' c_`var'
{txt}  3{com}.                 {c )-}
{txt}
{com}.         
.         
.         foreach var of local controls_noprefix {c -(}
{txt}  2{com}.                 local controls_tfull `controls_tfull' c_tfull_`var'
{txt}  3{com}.                 {c )-}
{txt}
{com}.                 
.         forvalues x = 1/2 {c -(}
{txt}  2{com}.                 foreach var of local controls_noprefix {c -(}
{txt}  3{com}.                         local controls_ho`x' `controls_ho`x'' c_ho`x'_`var'
{txt}  4{com}.                         {c )-}
{txt}  5{com}.                 {c )-}
{txt}
{com}.                 
.         forvalues x = 1/2 {c -(}
{txt}  2{com}.                 foreach var of local controls_noprefix {c -(}
{txt}  3{com}.                         local controls_tfullho`x' `controls_tfullho`x'' c_tfullho`x'_`var'
{txt}  4{com}.                         {c )-}
{txt}  5{com}.                 {c )-}
{txt}
{com}.                 
.         forvalues x = 1/4 {c -(}
{txt}  2{com}.                 foreach var of local controls_noprefix {c -(}
{txt}  3{com}.                         local controls_im`x' `controls_im`x'' c_im`x'_`var'
{txt}  4{com}.                         {c )-}
{txt}  5{com}.                 {c )-}
{txt}
{com}.                 
.         forvalues x = 1/4 {c -(}
{txt}  2{com}.                 foreach var of local controls_noprefix {c -(}
{txt}  3{com}.                         local controls_tfullim`x' `controls_tfullim`x'' c_tfullim`x'_`var'
{txt}  4{com}.                         {c )-}
{txt}  5{com}.                 {c )-}
{txt}
{com}. 
.         foreach treat in treatfull treatinfo treatinter infint {c -(}
{txt}  2{com}.                 local `treat'_controls
{txt}  3{com}.                 foreach var of local controls_noprefix {c -(}
{txt}  4{com}.                         local `treat'_controls ``treat'_controls' c_`treat'_`var'
{txt}  5{com}.                         {c )-}
{txt}  6{com}.                 {c )-}
{txt}
{com}.                 
.         foreach treat in fullomn infomn intomn {c -(}
{txt}  2{com}.                 local `treat'_int_controls
{txt}  3{com}.                 foreach var of local controls_noprefix {c -(}
{txt}  4{com}.                         local `treat'_int_controls ``treat'_int_controls' c_`treat'_`var'
{txt}  5{com}.                         {c )-}
{txt}  6{com}.                 {c )-}
{txt}
{com}.                 
.         forvalues x = 1/2 {c -(}
{txt}  2{com}.                 foreach treat in treatfull treatinfo treatinter infint {c -(}
{txt}  3{com}.                         local `treat'_ho`x'_controls
{txt}  4{com}.                         foreach var of local controls_noprefix {c -(}
{txt}  5{com}.                                 local `treat'_ho`x'_controls ``treat'_ho`x'_controls' c_`treat'ho`x'_`var'
{txt}  6{com}.                                 {c )-}
{txt}  7{com}.                         {c )-}
{txt}  8{com}.                 {c )-}
{txt}
{com}.                 
.         forvalues x = 1/2 {c -(}
{txt}  2{com}.                 foreach treat in fullomn infomn intomn {c -(}
{txt}  3{com}.                         local `treat'_ho`x'_controls
{txt}  4{com}.                         foreach var of local controls_noprefix {c -(}
{txt}  5{com}.                                 local `treat'_ho`x'_controls ``treat'_ho`x'_controls' c_`treat'ho`x'_`var'
{txt}  6{com}.                                 {c )-}
{txt}  7{com}.                         {c )-}
{txt}  8{com}.                 {c )-}
{txt}
{com}.                 
.         forvalues x = 1/4 {c -(}
{txt}  2{com}.                 foreach treat in treatfull treatinfo treatinter infint {c -(}
{txt}  3{com}.                         local `treat'_im`x'_controls
{txt}  4{com}.                         foreach var of local controls_noprefix {c -(}
{txt}  5{com}.                                 local `treat'_im`x'_controls ``treat'_im`x'_controls' c_`treat'im`x'_`var'
{txt}  6{com}.                                 {c )-}
{txt}  7{com}.                         {c )-}
{txt}  8{com}.                 {c )-}
{txt}
{com}.                 
.         forvalues x = 1/4 {c -(}
{txt}  2{com}.                 foreach treat in fullomn infomn intomn {c -(}
{txt}  3{com}.                         local `treat'_im`x'_controls 
{txt}  4{com}.                         foreach var of local controls_noprefix {c -(}
{txt}  5{com}.                                 local `treat'_im`x'_controls ``treat'_im`x'_controls' c_`treat'im`x'_`var'
{txt}  6{com}.                                 {c )-}
{txt}  7{com}.                         {c )-}
{txt}  8{com}.                 {c )-}
{txt}
{com}. 
.         *********************************************
.         ** Additional variables for balance checks **
.         *********************************************
.         
.         * The additional variables for balance checks:
.                 * Number of visits of VHTs to households in the last 12 months: b_tot_visit_vht
.                 * Whether the HC has piped water: b_h_piped_water
.                 * Whether the HC has electricity (grid or solar): b_h_elecsource
.                 * The number of trained medical staff at the HC: b_h_trainedstaff
.                 * The population density of the 3 km radius around the health center (using LandScan GIS data): b_h_popdensity
.         
.         * We will need to add:
.                 * Distance to the nearest health provider (government or private/NGO) at the same or higher level ADD
.                 * The population density of the 3 km radius around the health center (using LandScan GIS data) ADD
. 
.         local addlbalvars b_totvisit_vht b_h_piped_water b_h_elecsource b_h_trainedstaff b_h_popdensity
{txt}
{com}.         
.         **********************  
.         ** Intermediate DVs **
.         **********************
.         
.         local intermediate ctzknow_z eff_z commresp_z relhhhc_z
{txt}
{com}.         local intermediate_hclevel h_hcpknow_z h_hctrans_z
{txt}
{com}.         
.         local b_intermediate b_ctzknow_z b_h_hcpknow_z b_eff_z b_commresp_z  b_relhhhc_z b_h_hctrans_z
{txt}
{com}.         local bm_intermediate bm_ctzknow_z bm_h_hcpknow_z bm_eff_z bm_commresp_z  bm_relhhhc_z bm_h_hctrans_z
{txt}
{com}.         
.         local m_intermediate m_ctzknow_z m_h_hcpknow_z m_eff_z m_commresp_z  m_relhhhc_z m_h_hctrans_z
{txt}
{com}.         
.         local e_intermediate e_ctzknow_z e_h_hcpknow_z e_eff_z e_commresp_z  e_relhhhc_z e_h_hctrans_z
{txt}
{com}.                 
.         *********************
.         * Citizen knowledge *
.         *********************
.         
.         * We create a local for citizen knowledge without prefix
.         
.         local citizenknowledge ctzknow_z numrights_hh_z numresp_hh_z 
{txt}
{com}.         local citizenknowledge_nobaseline services_hh_z
{txt}
{com}.         
.         local citizenknowledge_ns ctzknow_z numrights_hh numresp_hh
{txt}
{com}.         local citizenknowledge_nobaseline_ns services_hh
{txt}
{com}.         
.         * We create a local for citizen knowledge with prefix
.         
.         local b_citizenknowledge b_ctzknow_z b_numrights_hh_z b_numresp_hh_z
{txt}
{com}.         local b_citizenknowledge_ns b_ctzknow_z b_numrights_hh b_numresp_hh
{txt}
{com}.         
.         local m_citizenknowledge m_ctzknow_z m_numrights_hh_z m_numresp_hh_z m_services_hh_z
{txt}
{com}.         local m_citizenknowledge_ns m_ctzknow_z m_numrights_hh m_numresp_hh m_services_hh       
{txt}
{com}.         
.         local e_citizenknowledge e_ctzknow_z e_numrights_hh_z e_numresp_hh_z e_services_hh_z
{txt}
{com}.         local e_citizenknowledge_ns e_ctzknow_z e_numrights_hh e_numresp_hh e_services_hh
{txt}
{com}.                 
.         **********************************
.         * Health care provider knowledge *
.         **********************************
.         
.         * We create a local for health care provider knowledge without prefix
.         
.         local h_hcknowledge h_hcpknow_z h_numrights_z h_numresp_z
{txt}
{com}.         local h_hcknowledge_ns h_hcpknow_z h_numrights h_numresp
{txt}
{com}.         
.         * We create a local for health care provider knowledge with prefix
.                 
.         local b_h_hcknowledge b_h_hcpknow_z b_h_numrights_z b_h_numresp_z
{txt}
{com}.         local b_h_hcknowledge_ns b_h_hcpknow_z b_h_numrights b_h_numresp
{txt}
{com}.         
.         local m_h_hcknowledge m_h_hcpknow_z m_h_numrights_z m_h_numresp_z
{txt}
{com}.         local m_h_hcknowledge_ns m_h_hcpknow_z m_h_numrights m_h_numresp
{txt}
{com}.         
.         local e_h_hcknowledge e_h_hcpknow_z e_h_numrights_z e_h_numresp_z
{txt}
{com}.         local e_h_hcknowledge_ns e_h_hcpknow_z e_h_numrights e_h_numresp
{txt}
{com}.         
.         ************
.         * Efficacy *
.         ************
.         
.         * We create a local for efficacy without prefix
.                 
.         local efficacy eff_z power_z influence_z peoplesay_gov_z peoplesay_hc_z
{txt}
{com}.         local efficacy_nobaseline pressure_effort_z pressure_report_z
{txt}
{com}.         local efficacy_ns eff_z power influence peoplesay_gov peoplesay_hc
{txt}
{com}.         local efficacy_nobaseline_ns pressure_effort pressure_report
{txt}
{com}.         
.         * We create a local for efficacy with prefix
.         
.         local b_efficacy b_eff_z b_power_z b_influence_z b_peoplesay_gov_z b_peoplesay_hc_z
{txt}
{com}.         local b_efficacy_ns b_eff_z b_power b_influence b_peoplesay_gov b_peoplesay_hc
{txt}
{com}.         
.         local m_efficacy m_eff_z m_power_z m_pressure_effort_z m_pressure_report_z m_influence_z m_peoplesay_gov_z m_peoplesay_hc_z
{txt}
{com}.         local m_efficacy_ns m_eff_z m_power m_pressure_effort m_pressure_report m_influence m_peoplesay_gov m_peoplesay_hc      
{txt}
{com}.         
.         local e_efficacy e_eff_z e_power_z e_pressure_effort_z e_pressure_report_z e_influence_z e_peoplesay_gov_z e_peoplesay_hc_z
{txt}
{com}.         local e_efficacy_ns e_eff_z e_power e_pressure_effort e_pressure_report e_influence e_peoplesay_gov e_peoplesay_hc
{txt}
{com}.         
.         ****************************
.         * Community Responsibility *
.         ****************************
.         
.         * We create a local for community responsibility without prefix
.         
.         local commresp commresp_z responsible_z commembers_resp_z
{txt}
{com}.         local commresp_ns commresp_z responsible commembers_resp
{txt}
{com}.         
.         * We create a local for community responsibility with prefix
.         
.         local b_commresp b_commresp_z b_responsible_z b_commembers_resp_z
{txt}
{com}.         local b_commresp_ns b_commresp_z b_responsible b_commembers_resp
{txt}
{com}.         
.         local m_commresp m_commresp_z m_responsible_z m_commembers_resp_z
{txt}
{com}.         local m_commresp_ns m_commresp_z m_responsible m_commembers_resp
{txt}
{com}.         
.         local e_commresp e_commresp_z e_responsible_z e_commembers_resp_z
{txt}
{com}.         local e_commresp_ns e_commresp_z e_responsible e_commembers_resp
{txt}
{com}.         
.         *************************
.         * Community Monitoring  *
.         *************************
.         
.         * We create a local for community monitoring without prefix
.         
.         * We removed the HUMC indicator
.         
.         local commmonitoring commtg_z lc1_meetings_z lc1_meetings_hc_z 
{txt}
{com}.         local commmonitoring_nobaseline find_report_z find_effort_z 
{txt}
{com}.         
.         local commmonitoring_ns commtg_z lc1_meetings lc1_meetings_hc
{txt}
{com}.         local commmonitoring_nobaseline_ns find_report find_effort
{txt}
{com}. 
.         * We create a local for community monitoring with prefix
.         
.         local b_commmonitoring b_commtg_z b_lc1_meetings_z b_lc1_meetings_hc_z 
{txt}
{com}.         local b_commmonitoring_ns b_commtg_z b_lc1_meetings b_lc1_meetings_hc 
{txt}
{com}.         
.         local m_commmonitoring m_commtg_z m_lc1_meetings_z m_lc1_meetings_hc_z m_find_report_z m_find_effort_z 
{txt}
{com}.         local m_commmonitoring_ns m_commtg_z m_lc1_meetings m_lc1_meetings_hc m_find_report m_find_effort
{txt}
{com}.         
.         local e_commmonitoring e_commtg_z e_lc1_meetings_z e_lc1_meetings_hc_z e_find_report_z e_find_effort_z
{txt}
{com}.         local e_commmonitoring_ns e_commtg_z e_lc1_meetings e_lc1_meetings_hc e_find_report e_find_effort
{txt}
{com}. 
.         ******************************
.         * Health centre transparency *
.         ******************************
.         
.         * We create a local for health centre transparency without prefix
.         
.         local h_hctransp h_hctrans_z h_opening_posters_z h_dutyroster_z h_sugbox_z h_infoservice_z h_infoprights_z
{txt}
{com}.         local h_hctransp_ns h_hctrans_z h_opening_posters h_dutyroster h_sugbox h_infoservice h_infoprights
{txt}
{com}.         
.         * We create a local for health centre transparency with prefix
.         
.         local b_h_hctransp b_h_hctrans_z b_h_opening_posters_z b_h_dutyroster_z b_h_sugbox_z b_h_infoservice_z b_h_infoprights_z
{txt}
{com}.         local b_h_hctransp_ns b_h_hctrans_z b_h_opening_posters b_h_dutyroster b_h_sugbox b_h_infoservice b_h_infoprights
{txt}
{com}.         
.         local m_h_hctransp m_h_hctrans_z m_h_opening_posters_z m_h_dutyroster_z m_h_sugbox_z m_h_infoservice_z m_h_infoprights_z
{txt}
{com}.         local m_h_hctransp_ns m_h_hctrans_z m_h_opening_posters m_h_dutyroster m_h_sugbox m_h_infoservice m_h_infoprights
{txt}
{com}.         
.         local e_h_hctransp e_h_hctrans_z e_h_opening_posters_z e_h_dutyroster_z e_h_sugbox_z e_h_infoservice_z e_h_infoprights_z
{txt}
{com}.         local e_h_hctransp_ns e_h_hctrans_z e_h_opening_posters e_h_dutyroster e_h_sugbox e_h_infoservice e_h_infoprights
{txt}
{com}. 
.         ****************************************************
.         * Relationship between health center and community *
.         ****************************************************
.         
.         * We create a local for relationship between health center and community without prefix
.         
.         local relship relhhhc_z sat_rel_z trust_hw_z complain_z
{txt}
{com}.         local relship_hclevel h_satisfiedrel_z
{txt}
{com}.         
.         local relship_ns relhhhc_z sat_rel trust_hw complain
{txt}
{com}.         local relship_hclevel_ns h_satisfiedrel
{txt}
{com}.         
.         * We create a local for relationship between health center and community with prefix
.                 
.         local b_relship b_relhhhc_z b_sat_rel_z b_trust_hw_z b_h_satisfiedrel_z b_complain_z
{txt}
{com}.         local b_relship_ns b_relhhhc_z b_sat_rel b_trust_hw b_h_satisfiedrel b_complain
{txt}
{com}.         
.         local m_relship m_relhhhc_z m_sat_rel_z m_trust_hw_z m_h_satisfiedrel_z m_complain_z
{txt}
{com}.         local m_relship_ns m_relhhhc_z m_sat_rel m_trust_hw m_h_satisfiedrel m_complain
{txt}
{com}.         
.         local e_relship e_relhhhc_z e_sat_rel_z e_trust_hw_z e_h_satisfiedrel_z e_complain_z
{txt}
{com}.         local e_relship_ns e_relhhhc_z e_sat_rel e_trust_hw e_h_satisfiedrel e_complain
{txt}
{com}.         
.         ************************************************************************************************ END OF SETUP **********************************************************
.         
.         ***********
.         * Dataset *
.         ***********
.         
.         * We load the dataset. This is the light version
.         
.         use "${c -(}usedata{c )-}/chp_el_light_dataset.dta", clear
{txt}
{com}.         
.         * Install additional functions
.         
.         ssc install qreg2
{txt}checking {hilite:qreg2} consistency and verifying not already installed...
all files already exist and are up to date.

{com}.         ssc install matsort
{txt}checking {hilite:matsort} consistency and verifying not already installed...
all files already exist and are up to date.

{com}.         ssc install texdoc
{txt}checking {hilite:texdoc} consistency and verifying not already installed...
all files already exist and are up to date.

{com}.         ssc install coefplot 
{txt}checking {hilite:coefplot} consistency and verifying not already installed...
all files already exist and are up to date.

{com}.         ssc install mdesc 
{txt}checking {hilite:mdesc} consistency and verifying not already installed...
all files already exist and are up to date.

{com}.         
.         
.         ******************************************************************
.         * Table 1: Outcome indices and their components, baseline values *
.         ******************************************************************
. 
.         * Utilization
.         
.         foreach var in b_immunization b_hf_otherpract {c -(}
{txt}  2{com}.                 sum `var'
{txt}  3{com}.                 local mean_percent = `r(mean)' * 100
{txt}  4{com}.                 local `var'_m = string(`mean_percent',"%9.1fc")
{txt}  5{com}.                 local `var'_sd = string(`r(sd)',"%9.1fc")
{txt}  6{com}.                 {c )-}

{txt}    Variable {c |}        Obs        Mean    Std. Dev.       Min        Max
{hline 13}{c +}{hline 57}
b_immuniza~n {c |}{res}     12,687    .7525699    .3803901          0          1

{txt}    Variable {c |}        Obs        Mean    Std. Dev.       Min        Max
{hline 13}{c +}{hline 57}
b_hf_other~t {c |}{res}     15,295    .3746609    .2333513          0          1
{txt}
{com}.                 
.         sum b_visit_hf

{txt}    Variable {c |}        Obs        Mean    Std. Dev.       Min        Max
{hline 13}{c +}{hline 57}
{space 2}b_visit_hf {c |}{res}     15,295    14.01412    11.99807          0         62
{txt}
{com}.         local b_visit_hf_m = string(`r(mean)',"%9.1fc")
{txt}
{com}.         local b_visit_hf_sd = string(`r(sd)',"%9.1fc")
{txt}
{com}.         
.         * Treatment quality
.         
.         foreach var in b_use_equip b_trained b_exam_privacy b_taketest b_diagnosis_explained {c -(}
{txt}  2{com}.                 sum `var'
{txt}  3{com}.                 local mean_percent = `r(mean)' * 100
{txt}  4{com}.                 local `var'_m = string(`mean_percent',"%9.1fc")
{txt}  5{com}.                 local `var'_sd = string(`r(sd)',"%9.1fc")
{txt}  6{com}.                 {c )-}

{txt}    Variable {c |}        Obs        Mean    Std. Dev.       Min        Max
{hline 13}{c +}{hline 57}
{space 1}b_use_equip {c |}{res}     15,295    .6800792    .4103537          0          1

{txt}    Variable {c |}        Obs        Mean    Std. Dev.       Min        Max
{hline 13}{c +}{hline 57}
{space 3}b_trained {c |}{res}     15,295    .9991423    .0268916          0          1

{txt}    Variable {c |}        Obs        Mean    Std. Dev.       Min        Max
{hline 13}{c +}{hline 57}
b_exam_pri~y {c |}{res}     15,295    .8924275    .2634497          0          1

{txt}    Variable {c |}        Obs        Mean    Std. Dev.       Min        Max
{hline 13}{c +}{hline 57}
{space 2}b_taketest {c |}{res}     15,295    .6275828    .4151187          0          1

{txt}    Variable {c |}        Obs        Mean    Std. Dev.       Min        Max
{hline 13}{c +}{hline 57}
b_diagnos~ed {c |}{res}     15,295    .5950235    .4396523          0          1
{txt}
{com}.         
.         sum b_tot_wait

{txt}    Variable {c |}        Obs        Mean    Std. Dev.       Min        Max
{hline 13}{c +}{hline 57}
{space 2}b_tot_wait {c |}{res}     15,295    104.2828    84.21741          0        480
{txt}
{com}.         local b_tot_wait_m = string(`r(mean)',"%9.0fc")
{txt}
{com}.         local b_tot_wait_sd = string(`r(sd)',"%9.0fc")
{txt}
{com}.         
.         foreach var in b_h_percentstaff_sv b_h_cleanliness b_h_meanstock {c -(}
{txt}  2{com}.                 sum `var' if uniquehc == 1
{txt}  3{com}.                 local mean_percent = `r(mean)' * 100
{txt}  4{com}.                 local `var'_m = string(`mean_percent',"%9.1fc")
{txt}  5{com}.                 local `var'_sd = string(`r(sd)',"%9.1fc")
{txt}  6{com}.                 {c )-}

{txt}    Variable {c |}        Obs        Mean    Std. Dev.       Min        Max
{hline 13}{c +}{hline 57}
b_h_percen~v {c |}{res}        376    .2931709     .202855          0          1

{txt}    Variable {c |}        Obs        Mean    Std. Dev.       Min        Max
{hline 13}{c +}{hline 57}
b_h_cleanl~s {c |}{res}        376    .8025914    .1233177        .25          1

{txt}    Variable {c |}        Obs        Mean    Std. Dev.       Min        Max
{hline 13}{c +}{hline 57}
b_h_meanst~k {c |}{res}        376    .9314661    .1281754          0          1
{txt}
{com}. 
.         * Patient satisfaction
.         
.         foreach var in b_qualitycare b_politestaff b_interest_health b_stafflistening b_freeexpress b_yearb_avail {c -(}
{txt}  2{com}.                 sum `var'
{txt}  3{com}.                 local mean_percent = `r(mean)' * 100
{txt}  4{com}.                 local `var'_m = string(`mean_percent',"%9.1fc")
{txt}  5{com}.                 local `var'_sd = string(`r(sd)',"%9.1fc")
{txt}  6{com}.                 {c )-}

{txt}    Variable {c |}        Obs        Mean    Std. Dev.       Min        Max
{hline 13}{c +}{hline 57}
b_qualityc~e {c |}{res}     15,295    .6777418    .4362405          0          1

{txt}    Variable {c |}        Obs        Mean    Std. Dev.       Min        Max
{hline 13}{c +}{hline 57}
b_politest~f {c |}{res}     15,295    .8989063    .2601792          0          1

{txt}    Variable {c |}        Obs        Mean    Std. Dev.       Min        Max
{hline 13}{c +}{hline 57}
b_interest~h {c |}{res}     15,295    .9008438    .2572733          0          1

{txt}    Variable {c |}        Obs        Mean    Std. Dev.       Min        Max
{hline 13}{c +}{hline 57}
b_stafflis~g {c |}{res}     15,295    .9030507     .256222          0          1

{txt}    Variable {c |}        Obs        Mean    Std. Dev.       Min        Max
{hline 13}{c +}{hline 57}
b_freeexpr~s {c |}{res}     15,295    .8310723    .3177278          0          1

{txt}    Variable {c |}        Obs        Mean    Std. Dev.       Min        Max
{hline 13}{c +}{hline 57}
b_yearb_av~l {c |}{res}     15,295    .4875841    .4416249          0          1
{txt}
{com}.                 
.         foreach var in m_qualityhc_d {c -(}
{txt}  2{com}.                 sum `var' if treatment == 4
{txt}  3{com}.                 local mean_percent = `r(mean)' * 100
{txt}  4{com}.                 local `var'_m = string(`mean_percent',"%9.1fc")
{txt}  5{com}.                 local `var'_sd = string(`r(sd)',"%9.1fc")
{txt}  6{com}.                 {c )-}

{txt}    Variable {c |}        Obs        Mean    Std. Dev.       Min        Max
{hline 13}{c +}{hline 57}
m_qualityh~d {c |}{res}      3,602    .4588935    .4934724          0          1
{txt}
{com}.                 
.         * Community monitoring
.         
.         foreach var in b_lc1_meetings b_lc1_meetings_hc {c -(}
{txt}  2{com}.                 sum `var'
{txt}  3{com}.                 local mean_percent = `r(mean)' * 100
{txt}  4{com}.                 local `var'_m = string(`mean_percent',"%9.1fc")
{txt}  5{com}.                 local `var'_sd = string(`r(sd)',"%9.1fc")
{txt}  6{com}.                 {c )-}

{txt}    Variable {c |}        Obs        Mean    Std. Dev.       Min        Max
{hline 13}{c +}{hline 57}
b_lc1_meet~s {c |}{res}     15,295    .8893347    .2258202          0          1

{txt}    Variable {c |}        Obs        Mean    Std. Dev.       Min        Max
{hline 13}{c +}{hline 57}
b_lc1_meet~c {c |}{res}     15,295    .6592714      .33513          0          1
{txt}
{com}.         
.                 
.         foreach var in m_find_report m_find_effort {c -(}
{txt}  2{com}.                 sum `var' if treatment == 4
{txt}  3{com}.                 local mean_percent = `r(mean)' * 100
{txt}  4{com}.                 local `var'_m = string(`mean_percent',"%9.1fc")
{txt}  5{com}.                 local `var'_sd = string(`r(sd)',"%9.1fc")
{txt}  6{com}.                 {c )-}

{txt}    Variable {c |}        Obs        Mean    Std. Dev.       Min        Max
{hline 13}{c +}{hline 57}
m_find_rep~t {c |}{res}      3,602    .7351865    .4351247          0          1

{txt}    Variable {c |}        Obs        Mean    Std. Dev.       Min        Max
{hline 13}{c +}{hline 57}
m_find_eff~t {c |}{res}      3,602    .7304422    .4374531          0          1
{txt}
{com}.                 
.         * Health outcome
.         
.         * We load the individual dataset
.         
.         use "${c -(}usedata{c )-}/healthoutcome_endline_ind.dta", clear
{txt}
{com}.         
.         foreach var in b_weight18 b_weight36 b_muac18 b_muac36 {c -(}
{txt}  2{com}.                 sum `var'
{txt}  3{com}.                 local `var'_m = string(`r(mean)',"%9.2fc")
{txt}  4{com}.                 local `var'_sd = string(`r(sd)',"%9.2fc")
{txt}  5{com}.                 {c )-}

{txt}    Variable {c |}        Obs        Mean    Std. Dev.       Min        Max
{hline 13}{c +}{hline 57}
{space 2}b_weight18 {c |}{res}      4,379    1.227499    .2775276   .6353889   2.184127

{txt}    Variable {c |}        Obs        Mean    Std. Dev.       Min        Max
{hline 13}{c +}{hline 57}
{space 2}b_weight36 {c |}{res}      5,644     1.38698    .7815522        .31        5.3

{txt}    Variable {c |}        Obs        Mean    Std. Dev.       Min        Max
{hline 13}{c +}{hline 57}
{space 4}b_muac18 {c |}{res}      4,379    2.507325    .7288914   1.054115   4.825927

{txt}    Variable {c |}        Obs        Mean    Std. Dev.       Min        Max
{hline 13}{c +}{hline 57}
{space 4}b_muac36 {c |}{res}      5,644    2.904158    2.112665   .5041667         13
{txt}
{com}.                 
.         * Child mortality
.         
.         * We load the light dataset (HC level)
.         
.         use "${c -(}usedata{c )-}/chp_el_light_dataset.dta", clear
{txt}
{com}.         
.         foreach var in b_mortrate_05 b_mortrate_01 b_mortrate_15 b_h_wrong b_h_pressure  {c -(}
{txt}  2{com}.                 sum `var' if uniquehc == 1
{txt}  3{com}.                 local `var'_m = string(`r(mean)',"%9.2fc")
{txt}  4{com}.                 local `var'_sd = string(`r(sd)',"%9.2fc")
{txt}  5{com}.                 {c )-}

{txt}    Variable {c |}        Obs        Mean    Std. Dev.       Min        Max
{hline 13}{c +}{hline 57}
b_mortrat~05 {c |}{res}        376    .0452463    .0637138          0   .3055556

{txt}    Variable {c |}        Obs        Mean    Std. Dev.       Min        Max
{hline 13}{c +}{hline 57}
b_mortrat~01 {c |}{res}        376     .039844     .061403          0   .3055556

{txt}    Variable {c |}        Obs        Mean    Std. Dev.       Min        Max
{hline 13}{c +}{hline 57}
b_mortrat~15 {c |}{res}        376    .0053921    .0210553          0   .1851851

{txt}    Variable {c |}        Obs        Mean    Std. Dev.       Min        Max
{hline 13}{c +}{hline 57}
{space 3}b_h_wrong {c |}{res}        376    .8954407    .3051481          0          1

{txt}    Variable {c |}        Obs        Mean    Std. Dev.       Min        Max
{hline 13}{c +}{hline 57}
b_h_pressure {c |}{res}        376    .4994697    .4995262          0          1
{txt}
{com}.                 
.         foreach var in e_h_hw_report {c -(}
{txt}  2{com}.                 sum `var' if treatment == 4
{txt}  3{com}.                 local mean_percent = `r(mean)' * 100
{txt}  4{com}.                 local `var'_m = string(`mean_percent',"%9.2fc")
{txt}  5{com}.                 local `var'_sd = string(`r(sd)',"%9.2fc")
{txt}  6{com}.                 {c )-}

{txt}    Variable {c |}        Obs        Mean    Std. Dev.       Min        Max
{hline 13}{c +}{hline 57}
e_h_hw_rep~t {c |}{res}      3,650    .3810959    .4857226          0          1
{txt}
{com}.                 
.         * Generating the table
.         
.         texdoc init "${c -(}tables{c )-}/Table1.tex", replace force
{res}{txt}(texdoc output file is /Users/fredericcochinard/Dropbox/ACT_Health_JOP_replication_file/3.Tables and Figures/Tables/Table1.tex)
{res}{txt}
{com}.         tex \begin{c -(}table{c )-}[]
{res}{txt}
{com}.         tex \footnotesize
{res}{txt}
{com}.         tex \begin{c -(}center{c )-}
{res}{txt}
{com}.         tex     \begin{c -(}tabular{c )-}{c -(}ll{c )-}
{res}{txt}
{com}.         tex     \hline
{res}{txt}
{com}.     tex                                                                                                                                                                                                         & \textbf{c -(}Mean{c )-} \\ \hline
{res}{txt}
{com}.         tex \multicolumn{c -(}2{c )-}{c -(}l{c )-}{c -(}\textit{c -(}\textbf{c -(}Citizen monitoring{c )-}{c )-}{c )-}                                                                                                                                                                                                                                \\ \hline
{res}{txt}
{com}.         tex Household members report having attended LC1 meetings in the last year                                                                                                                                                                                         &   `b_lc1_meetings_m'\%   \\ 
{res}{txt}
{com}.         tex \begin{c -(}tabular{c )-}[c]{c -(}@{c -(}{c )-}l@{c -(}{c )-}{c )-}Household members who attended the LC1 meeting reported that the local HC was discussed\end{c -(}tabular{c )-}                                                                                                                              &   `b_lc1_meetings_hc_m'\%   \\ 
{res}{txt}
{com}.         tex \begin{c -(}tabular{c )-}[c]{c -(}@{c -(}{c )-}l@{c -(}{c )-}{c )-}Household members think community would find out if health worker did not provide effort caring for patients $\diamond$ \end{c -(}tabular{c )-}                                    &   `m_find_effort_m'\% \\ 
{res}{txt}
{com}.         tex \begin{c -(}tabular{c )-}[c]{c -(}@{c -(}{c )-}l@{c -(}{c )-}{c )-}Household members think community would find out if health worker did not report for work $\diamond$ \end{c -(}tabular{c )-}                                                                                                    &   `m_find_report_m'\%   \\ \hline
{res}{txt}
{com}.         tex \multicolumn{c -(}2{c )-}{c -(}l{c )-}{c -(}\textit{c -(}\textbf{c -(}Perceived citizen pressure{c )-}{c )-}{c )-}                                                                                                                                                                            \\ \hline
{res}{txt}
{com}.         tex \begin{c -(}tabular{c )-}[c]{c -(}@{c -(}{c )-}l@{c -(}{c )-}{c )-}HC staff think community would find out if health worker did not provide effort in caring for patients \end{c -(}tabular{c )-}                                    &   `b_h_wrong_m'\% \\ 
{res}{txt}
{com}.         tex \begin{c -(}tabular{c )-}[c]{c -(}@{c -(}{c )-}l@{c -(}{c )-}{c )-}HC staff think community members would find out if health worker did not report for work \end{c -(}tabular{c )-}                                                                                                    &   `b_h_pressure_m'\%   \\ 
{res}{txt}
{com}.         tex \begin{c -(}tabular{c )-}[c]{c -(}@{c -(}{c )-}l@{c -(}{c )-}{c )-}Any community member reported a health worker to HC staff within the past 12 months $\diamond$ \end{c -(}tabular{c )-}    &   `e_h_hw_report_m'\%   \\ \hline
{res}{txt}
{com}.         tex     \multicolumn{c -(}2{c )-}{c -(}l{c )-}{c -(}\textit{c -(}\textbf{c -(}Utilization{c )-}{c )-}{c )-}                                                                                                                                                                                \\ \hline
{res}{txt}
{com}.         tex \begin{c -(}tabular{c )-}[c]{c -(}@{c -(}{c )-}l@{c -(}{c )-}{c )-}Vaccination rates, children <36 months for polio, DPT, BCG, and measles, by age bracket\end{c -(}tabular{c )-}                                                                     &  `b_immunization_m'\%         \\         
{res}{txt}
{com}.         tex \begin{c -(}tabular{c )-}[c]{c -(}@{c -(}{c )-}l@{c -(}{c )-}{c )-}Share of self-reported visits to the HC versus other providers\end{c -(}tabular{c )-}                                                                                          &  `b_hf_otherpract_m'\%        \\ 
{res}{txt}
{com}.         tex \begin{c -(}tabular{c )-}[c]{c -(}@{c -(}{c )-}l@{c -(}{c )-}{c )-}Number of self-reported visits to the HC by household members in past 12 months\end{c -(}tabular{c )-}                                                                      &  `b_visit_hf_m' visits        \\ \hline
{res}{txt}
{com}.         tex \multicolumn{c -(}2{c )-}{c -(}l{c )-}{c -(}\textit{c -(}\textbf{c -(}Treatment quality{c )-}{c )-}{c )-}                                                                                                                                                                          \\ \hline
{res}{txt}
{com}.         tex Whether equipment was used during the most recent visit to HC                                                                                                                                                     &  `b_use_equip_m'\%        \\ 
{res}{txt}
{com}.         tex Total time spent waiting for initial consultation and examination                                                                                                                                      &  `b_tot_wait_m' mins      \\ 
{res}{txt}
{com}.         tex \begin{c -(}tabular{c )-}[c]{c -(}@{c -(}{c )-}l@{c -(}{c )-}{c )-}Whether person seeking care was examined by trained health staff during most recent visit\end{c -(}tabular{c )-}                                                         &  `b_trained_m'\%          \\ 
{res}{txt}
{com}.         tex Whether person seeking care had privacy during most recent examination                                                                                                                         &  `b_exam_privacy_m'\%     \\ 
{res}{txt}
{com}.         tex Whether lab tests were administered during most recent visit                                                                                                                                            &  `b_taketest_m'\%         \\ 
{res}{txt}
{com}.         tex \begin{c -(}tabular{c )-}[c]{c -(}@{c -(}{c )-}l@{c -(}{c )-}{c )-}Whether diagnosis was clearly explained during most recent visit\end{c -(}tabular{c )-}                                                            &  `b_diagnosis_explained_m'\%    \\ 
{res}{txt}
{com}.         tex Percent of staff in attendance during unannounced visit to HC                                                                                                                             &  `b_h_percentstaff_sv_m'\%      \\ 
{res}{txt}
{com}.         tex \begin{c -(}tabular{c )-}[c]{c -(}@{c -(}{c )-}l@{c -(}{c )-}{c )-}Condition of HC (cleanliness of floors/walls; smell) as observed during unannounced visit\end{c -(}tabular{c )-}                                                   &  `b_h_cleanliness_m'\%          \\ 
{res}{txt}
{com}.         tex \begin{c -(}tabular{c )-}[c]{c -(}@{c -(}{c )-}l@{c -(}{c )-}{c )-}\% of months stock cards indicate availability of 6 key drugs in past 3 mos, as determined during unannounced visit\end{c -(}tabular{c )-}             &  `b_h_meanstock_m'\%               \\ \hline
{res}{txt}
{com}.         tex \multicolumn{c -(}2{c )-}{c -(}l{c )-}{c -(}\textit{c -(}\textbf{c -(}Patient satisfaction{c )-}{c )-}{c )-}                                                                                                                                                                       \\ \hline
{res}{txt}
{com}.         tex \begin{c -(}tabular{c )-}[c]{c -(}@{c -(}{c )-}l@{c -(}{c )-}{c )-}Whether services currently offered at HC are judged to be of ``very high" or ``somewhat high" quality  $\diamond$\end{c -(}tabular{c )-}                                                 &  `m_qualityhc_d_m'\%               \\ 
{res}{txt}
{com}.         tex \begin{c -(}tabular{c )-}[c]{c -(}@{c -(}{c )-}l@{c -(}{c )-}{c )-}Whether person seeking care was ``very satisfied"/``satisfied" with quality of care received during most recent visit\end{c -(}tabular{c )-} &  `b_qualitycare_m'\%                          \\ 
{res}{txt}
{com}.         tex \begin{c -(}tabular{c )-}[c]{c -(}@{c -(}{c )-}l@{c -(}{c )-}{c )-}Whether person conducting exam appeared to be interested in health condition of person seeking care\end{c -(}tabular{c )-}                                         &  `b_interest_health_m'\%                        \\ 
{res}{txt}
{com}.         tex Whether person conducting exam listened to what person seeking care had to say                                                                                                            &  `b_stafflistening_m'\%                         \\ 
{res}{txt}
{com}.         tex \begin{c -(}tabular{c )-}[c]{c -(}@{c -(}{c )-}l@{c -(}{c )-}{c )-}Whether person seeking care felt free to express him/herself to person conducting exam\end{c -(}tabular{c )-}                                                          &  `b_freeexpress_m'\%                            \\ 
{res}{txt}
{com}.         tex Whether, compared to year before, availability of medical staff has improved at HC                                                                                                     &  `b_yearb_avail_m'\%                            \\ \hline
{res}{txt}
{com}.         tex \multicolumn{c -(}2{c )-}{c -(}l{c )-}{c -(}\textit{c -(}\textbf{c -(}Health outcomes{c )-}{c )-}{c )-}                                                                                                                                                                            \\ \hline
{res}{txt}
{com}.         tex Weight for age among children aged 0-18 months (kg/month)                                                                                                                                                             &  `b_weight18_m'           \\ 
{res}{txt}
{com}.         tex Weight for age among children aged 18-36 months (kg/month)                                                                                                                                                            &  `b_weight36_m'           \\ 
{res}{txt}
{com}.         tex Middle-upper arm circumference among children aged 0-18 months (cm/month)                                                                                                                                                     &  `b_muac18_m'             \\ \hline
{res}{txt}
{com}.         tex \multicolumn{c -(}2{c )-}{c -(}l{c )-}{c -(}\textit{c -(}\textbf{c -(}Child mortality{c )-}{c )-}{c )-}                                                                                                                                                                            \\ \hline
{res}{txt}
{com}.         tex 0 to 5 years (main measure)                                                                                                                                                                                   &   `b_mortrate_05_m'\text{c -(}\textperthousand{c )-}           \\ 
{res}{txt}
{com}.         tex 0 to 12 months                                                                                                                                                                                                &   `b_mortrate_01_m'\text{c -(}\textperthousand{c )-}           \\ 
{res}{txt}
{com}.         tex 1 to 5 years                                                                                                                                                                                                  &   `b_mortrate_15_m'\text{c -(}\textperthousand{c )-}           \\ \hline                                                                                                
{res}{txt}
{com}.         tex \end{c -(}tabular{c )-}
{res}{txt}
{com}.         tex \end{c -(}center{c )-}
{res}{txt}
{com}.         tex \end{c -(}table{c )-}
{res}{txt}
{com}.         texdoc close
{txt}(texdoc output written to {browse `"/Users/fredericcochinard/Dropbox/ACT_Health_JOP_replication_file/3.Tables and Figures/Tables/Table1.tex"':/Users/fredericcochinard/Dropbox/ACT_Health_JOP_replication_file/3.Tables and Figures/Tables/Table1.tex})
{res}{txt}
{com}.         
.         
.         
.         *****************************************************
.         * Figure 3: Effect of the full treatment at endline *
.         *****************************************************
.         
.         * Setting up the local
.         
.         local indices urate_z treatqual_z patsat_z commtg_z
{txt}
{com}.         local indices_hc_ols h_ctzpressure_z
{txt}
{com}.         local indices_hc mortrate_05 
{txt}
{com}.         
.         *******************
.         * Household level *
.         *******************
.         
.         use "${c -(}usedata{c )-}/chp_el_light_dataset.dta", clear
{txt}
{com}.         
.         local var treatfull
{txt}
{com}.         
.         * At endline:
.         
.         local y = 1
{txt}
{com}.         foreach x in `indices' {c -(}
{txt}  2{com}.                 areg  e_`x' `var' b_`x' b_`x'_d `e_controls_tfull' ``var'_int_e_controls', robust cl(hc_id) a(district)
{txt}  3{com}.                 
.                 estimates store me`y'
{txt}  4{com}.                 
.                 local n_1e_`x' = string(`e(N)',"%9.0fc")
{txt}  5{com}.                 local r2_1e_`x' = string(`e(r2)',"%9.3fc")
{txt}  6{com}.                 local est_1e_`x' = string(_b[`var'],"%9.3fc")
{txt}  7{com}.                 local se_1e_`x' = string(_se[`var'],"%9.3fc")
{txt}  8{com}.                 local p_1e_`x' = (2 * ttail(e(df_r), abs(_b[`var']/_se[`var'])))
{txt}  9{com}.                 local p_`y'e = (2 * ttail(e(df_r), abs(_b[`var']/_se[`var'])))
{txt} 10{com}.                 
.                 gen s_1e_1s_`x' = (`p_1e_`x''<=0.1 & `p_1e_`x''>0.05)
{txt} 11{com}.                 gen s_1e_2s_`x' = (`p_1e_`x''<=0.05 & `p_1e_`x''>0.01)
{txt} 12{com}.                 gen s_1e_3s_`x' = (`p_1e_`x''<=0.01 & `p_1e_`x''>=0)
{txt} 13{com}.         
.                 if s_1e_1s_`x' == 1 {c -(}
{txt} 14{com}.                                 local est_1e_`x' = "`est_1e_`x''*"
{txt} 15{com}.                                 {c )-}
{txt} 16{com}.                                 
.                 if s_1e_2s_`x' == 1 {c -(}
{txt} 17{com}.                                 local est_1e_`x' = "`est_1e_`x''**"
{txt} 18{com}.                                 {c )-}
{txt} 19{com}.                                 
.                 if s_1e_3s_`x' == 1 {c -(}
{txt} 20{com}.                                 local est_1e_`x' = "`est_1e_`x''***"
{txt} 21{com}.                                 {c )-}
{txt} 22{com}.                 
.                 local est_2e_`x' = string(_b[_cons],"%9.3fc")
{txt} 23{com}.                 local se_2e_`x' = string(_se[_cons],"%9.3fc")
{txt} 24{com}.                 local p_2e_`x' = (2 * ttail(e(df_r), abs(_b[_cons]/_se[_cons])))
{txt} 25{com}.                 
.                 gen s_2e_1s_`x' = (`p_2e_`x''<=0.1 & `p_2e_`x''>0.05)
{txt} 26{com}.                 gen s_2e_2s_`x' = (`p_2e_`x''<=0.05 & `p_2e_`x''>0.01)
{txt} 27{com}.                 gen s_2e_3s_`x' = (`p_2e_`x''<=0.01 & `p_2e_`x''>=0)
{txt} 28{com}.         
.                 if s_2e_1s_`x' == 1 {c -(}
{txt} 29{com}.                                 local est_2e_`x' = "`est_2e_`x''*"
{txt} 30{com}.                                 {c )-}
{txt} 31{com}.                                 
.                 if s_2e_2s_`x' == 1 {c -(}
{txt} 32{com}.                                 local est_2e_`x' = "`est_2e_`x''**"
{txt} 33{com}.                                 {c )-}
{txt} 34{com}.                                 
.                 if s_2e_3s_`x' == 1 {c -(}
{txt} 35{com}.                                 local est_2e_`x' = "`est_2e_`x''***"
{txt} 36{com}.                                 {c )-}
{txt} 37{com}.                                 
.                 test treatfull = 0
{txt} 38{com}.                 local f_walde_`x' = string(`r(p)',"%9.3fc")
{txt} 39{com}.                 
.                                         
.                 local y = `y' + 1
{txt} 40{com}.                 {c )-}
{txt}note: b_urate_z_d omitted because of collinearity
{res}
{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}     7,288
{txt}{col 49}F({res}  14{txt},{res}    186{txt}){col 67}= {res}     58.65
{txt}{col 49}Prob > F{col 67}= {res}    0.0000
{txt}{col 49}R-squared{col 67}= {res}    0.2303
{txt}{col 49}Adj R-squared{col 67}= {res}    0.2272
{txt}{col 49}Root MSE{col 67}= {res}    0.6613

{txt}{ralign 78:(Std. Err. adjusted for {res:187} clusters in hc_id)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}   e_urate_z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2} .0271978{col 26}{space 2} .0217596{col 37}{space 1}    1.25{col 46}{space 3}0.213{col 54}{space 4}-.0157296{col 67}{space 3} .0701252
{txt}{space 3}b_urate_z {c |}{col 14}{res}{space 2} .3547532{col 26}{space 2} .0146163{col 37}{space 1}   24.27{col 46}{space 3}0.000{col 54}{space 4} .3259182{col 67}{space 3} .3835882
{txt}{space 1}b_urate_z_d {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 1}c_tfull_hc2 {c |}{col 14}{res}{space 2} .0272114{col 26}{space 2}  .042466{col 37}{space 1}    0.64{col 46}{space 3}0.522{col 54}{space 4}-.0565655{col 67}{space 3} .1109884
{txt}c_tfull_b_~l {c |}{col 14}{res}{space 2} .0355857{col 26}{space 2} .0475296{col 37}{space 1}    0.75{col 46}{space 3}0.455{col 54}{space 4}-.0581806{col 67}{space 3} .1293521
{txt}c_tfull_b_~s {c |}{col 14}{res}{space 2} .0450058{col 26}{space 2} .0491821{col 37}{space 1}    0.92{col 46}{space 3}0.361{col 54}{space 4}-.0520205{col 67}{space 3} .1420322
{txt}c_tfull_b_~d {c |}{col 14}{res}{space 2} .1640347{col 26}{space 2} .0583979{col 37}{space 1}    2.81{col 46}{space 3}0.006{col 54}{space 4} .0488273{col 67}{space 3} .2792422
{txt}c_tfull_ed~r {c |}{col 14}{res}{space 2}-.0127052{col 26}{space 2} .0028397{col 37}{space 1}   -4.47{col 46}{space 3}0.000{col 54}{space 4}-.0183074{col 67}{space 3} -.007103
{txt}c_tfull_b_~x {c |}{col 14}{res}{space 2}-.0388435{col 26}{space 2} .0130071{col 37}{space 1}   -2.99{col 46}{space 3}0.003{col 54}{space 4}-.0645039{col 67}{space 3}-.0131832
{txt}c_trea~l_hc2 {c |}{col 14}{res}{space 2}-.0204218{col 26}{space 2} .0519747{col 37}{space 1}   -0.39{col 46}{space 3}0.695{col 54}{space 4}-.1229576{col 67}{space 3}  .082114
{txt}c_treatful.. {c |}{col 14}{res}{space 2}-.0229078{col 26}{space 2} .0565582{col 37}{space 1}   -0.41{col 46}{space 3}0.686{col 54}{space 4}-.1344858{col 67}{space 3} .0886702
{txt}c_treatful.. {c |}{col 14}{res}{space 2}-.0293108{col 26}{space 2} .0701385{col 37}{space 1}   -0.42{col 46}{space 3}0.677{col 54}{space 4}  -.16768{col 67}{space 3} .1090585
{txt}c_treatful.. {c |}{col 14}{res}{space 2}-.0347969{col 26}{space 2} .0805983{col 37}{space 1}   -0.43{col 46}{space 3}0.666{col 54}{space 4}-.1938012{col 67}{space 3} .1242075
{txt}c_treatful.. {c |}{col 14}{res}{space 2}  .002689{col 26}{space 2} .0041503{col 37}{space 1}    0.65{col 46}{space 3}0.518{col 54}{space 4}-.0054988{col 67}{space 3} .0108768
{txt}c_treatful.. {c |}{col 14}{res}{space 2}-.0121644{col 26}{space 2} .0189232{col 37}{space 1}   -0.64{col 46}{space 3}0.521{col 54}{space 4}-.0494962{col 67}{space 3} .0251673
{txt}{space 7}_cons {c |}{col 14}{res}{space 2}-.0197344{col 26}{space 2} .0155195{col 37}{space 1}   -1.27{col 46}{space 3}0.205{col 54}{space 4}-.0503512{col 67}{space 3} .0108824
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull = 0{p_end}

{txt}       F(  1,   186) ={res}    1.56
{txt}{col 13}Prob > F ={res}    0.2129
{txt}note: b_treatqual_z_d omitted because of collinearity
{res}
{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}     7,288
{txt}{col 49}F({res}  14{txt},{res}    186{txt}){col 67}= {res}      4.28
{txt}{col 49}Prob > F{col 67}= {res}    0.0000
{txt}{col 49}R-squared{col 67}= {res}    0.1023
{txt}{col 49}Adj R-squared{col 67}= {res}    0.0988
{txt}{col 49}Root MSE{col 67}= {res}    0.3514

{txt}{ralign 78:(Std. Err. adjusted for {res:187} clusters in hc_id)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}e_treatq~l_z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2}  .069785{col 26}{space 2} .0260197{col 37}{space 1}    2.68{col 46}{space 3}0.008{col 54}{space 4} .0184532{col 67}{space 3} .1211167
{txt}b_treatq~l_z {c |}{col 14}{res}{space 2} .1020516{col 26}{space 2} .0203832{col 37}{space 1}    5.01{col 46}{space 3}0.000{col 54}{space 4} .0618396{col 67}{space 3} .1422636
{txt}b_trea~l_z_d {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 1}c_tfull_hc2 {c |}{col 14}{res}{space 2}-.0711925{col 26}{space 2} .0533025{col 37}{space 1}   -1.34{col 46}{space 3}0.183{col 54}{space 4}-.1763477{col 67}{space 3} .0339628
{txt}c_tfull_b_~l {c |}{col 14}{res}{space 2}-.0176246{col 26}{space 2} .0573484{col 37}{space 1}   -0.31{col 46}{space 3}0.759{col 54}{space 4}-.1307615{col 67}{space 3} .0955122
{txt}c_tfull_b_~s {c |}{col 14}{res}{space 2} .0773901{col 26}{space 2} .0576711{col 37}{space 1}    1.34{col 46}{space 3}0.181{col 54}{space 4}-.0363835{col 67}{space 3} .1911637
{txt}c_tfull_b_~d {c |}{col 14}{res}{space 2} .0075521{col 26}{space 2} .0235787{col 37}{space 1}    0.32{col 46}{space 3}0.749{col 54}{space 4}-.0389639{col 67}{space 3} .0540681
{txt}c_tfull_ed~r {c |}{col 14}{res}{space 2}-.0030166{col 26}{space 2} .0016109{col 37}{space 1}   -1.87{col 46}{space 3}0.063{col 54}{space 4}-.0061945{col 67}{space 3} .0001614
{txt}c_tfull_b_~x {c |}{col 14}{res}{space 2}-.0028945{col 26}{space 2} .0082814{col 37}{space 1}   -0.35{col 46}{space 3}0.727{col 54}{space 4} -.019232{col 67}{space 3}  .013443
{txt}c_trea~l_hc2 {c |}{col 14}{res}{space 2} .0622374{col 26}{space 2} .0665857{col 37}{space 1}    0.93{col 46}{space 3}0.351{col 54}{space 4} -.069123{col 67}{space 3} .1935977
{txt}c_treatful.. {c |}{col 14}{res}{space 2} .0747815{col 26}{space 2} .0673432{col 37}{space 1}    1.11{col 46}{space 3}0.268{col 54}{space 4}-.0580732{col 67}{space 3} .2076362
{txt}c_treatful.. {c |}{col 14}{res}{space 2}-.1068973{col 26}{space 2} .0730561{col 37}{space 1}   -1.46{col 46}{space 3}0.145{col 54}{space 4}-.2510224{col 67}{space 3} .0372278
{txt}c_treatful.. {c |}{col 14}{res}{space 2} .0462437{col 26}{space 2} .0326817{col 37}{space 1}    1.41{col 46}{space 3}0.159{col 54}{space 4}-.0182307{col 67}{space 3} .1107182
{txt}c_treatful.. {c |}{col 14}{res}{space 2} .0025569{col 26}{space 2} .0022228{col 37}{space 1}    1.15{col 46}{space 3}0.252{col 54}{space 4}-.0018283{col 67}{space 3} .0069421
{txt}c_treatful.. {c |}{col 14}{res}{space 2}-.0181358{col 26}{space 2} .0129051{col 37}{space 1}   -1.41{col 46}{space 3}0.162{col 54}{space 4}-.0435951{col 67}{space 3} .0073235
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} .0003386{col 26}{space 2} .0200495{col 37}{space 1}    0.02{col 46}{space 3}0.987{col 54}{space 4}-.0392151{col 67}{space 3} .0398923
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull = 0{p_end}

{txt}       F(  1,   186) ={res}    7.19
{txt}{col 13}Prob > F ={res}    0.0080
{txt}note: b_patsat_z_d omitted because of collinearity
{res}
{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}     7,288
{txt}{col 49}F({res}  14{txt},{res}    186{txt}){col 67}= {res}      9.05
{txt}{col 49}Prob > F{col 67}= {res}    0.0000
{txt}{col 49}R-squared{col 67}= {res}    0.0425
{txt}{col 49}Adj R-squared{col 67}= {res}    0.0387
{txt}{col 49}Root MSE{col 67}= {res}    0.5862

{txt}{ralign 78:(Std. Err. adjusted for {res:187} clusters in hc_id)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}  e_patsat_z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2} .0766698{col 26}{space 2}  .023602{col 37}{space 1}    3.25{col 46}{space 3}0.001{col 54}{space 4} .0301077{col 67}{space 3} .1232319
{txt}{space 2}b_patsat_z {c |}{col 14}{res}{space 2} .1381434{col 26}{space 2} .0151288{col 37}{space 1}    9.13{col 46}{space 3}0.000{col 54}{space 4} .1082973{col 67}{space 3} .1679895
{txt}b_patsat_z_d {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 1}c_tfull_hc2 {c |}{col 14}{res}{space 2} .0124335{col 26}{space 2} .0399891{col 37}{space 1}    0.31{col 46}{space 3}0.756{col 54}{space 4} -.066457{col 67}{space 3} .0913239
{txt}c_tfull_b_~l {c |}{col 14}{res}{space 2}  .099912{col 26}{space 2}  .051595{col 37}{space 1}    1.94{col 46}{space 3}0.054{col 54}{space 4}-.0018747{col 67}{space 3} .2016987
{txt}c_tfull_b_~s {c |}{col 14}{res}{space 2} .0058389{col 26}{space 2} .0649235{col 37}{space 1}    0.09{col 46}{space 3}0.928{col 54}{space 4}-.1222422{col 67}{space 3}   .13392
{txt}c_tfull_b_~d {c |}{col 14}{res}{space 2} .0028207{col 26}{space 2} .0432805{col 37}{space 1}    0.07{col 46}{space 3}0.948{col 54}{space 4}-.0825632{col 67}{space 3} .0882046
{txt}c_tfull_ed~r {c |}{col 14}{res}{space 2} .0018915{col 26}{space 2} .0028311{col 37}{space 1}    0.67{col 46}{space 3}0.505{col 54}{space 4}-.0036937{col 67}{space 3} .0074767
{txt}c_tfull_b_~x {c |}{col 14}{res}{space 2} .0145285{col 26}{space 2} .0099867{col 37}{space 1}    1.45{col 46}{space 3}0.147{col 54}{space 4}-.0051733{col 67}{space 3} .0342303
{txt}c_trea~l_hc2 {c |}{col 14}{res}{space 2}-.1187986{col 26}{space 2} .0544174{col 37}{space 1}   -2.18{col 46}{space 3}0.030{col 54}{space 4}-.2261532{col 67}{space 3}-.0114439
{txt}c_treatful.. {c |}{col 14}{res}{space 2}-.1632267{col 26}{space 2} .0637943{col 37}{space 1}   -2.56{col 46}{space 3}0.011{col 54}{space 4}  -.28908{col 67}{space 3}-.0373734
{txt}c_treatful.. {c |}{col 14}{res}{space 2} .0113699{col 26}{space 2} .0749944{col 37}{space 1}    0.15{col 46}{space 3}0.880{col 54}{space 4}-.1365791{col 67}{space 3} .1593189
{txt}c_treatful.. {c |}{col 14}{res}{space 2}-.0227408{col 26}{space 2} .0514382{col 37}{space 1}   -0.44{col 46}{space 3}0.659{col 54}{space 4}-.1242181{col 67}{space 3} .0787366
{txt}c_treatful.. {c |}{col 14}{res}{space 2} .0026683{col 26}{space 2} .0037246{col 37}{space 1}    0.72{col 46}{space 3}0.475{col 54}{space 4}-.0046795{col 67}{space 3} .0100162
{txt}c_treatful.. {c |}{col 14}{res}{space 2}-.0265156{col 26}{space 2} .0143484{col 37}{space 1}   -1.85{col 46}{space 3}0.066{col 54}{space 4}-.0548222{col 67}{space 3} .0017909
{txt}{space 7}_cons {c |}{col 14}{res}{space 2}-.0018319{col 26}{space 2} .0176994{col 37}{space 1}   -0.10{col 46}{space 3}0.918{col 54}{space 4}-.0367493{col 67}{space 3} .0330855
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull = 0{p_end}

{txt}       F(  1,   186) ={res}   10.55
{txt}{col 13}Prob > F ={res}    0.0014
{txt}note: b_commtg_z_d omitted because of collinearity
{res}
{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}     7,288
{txt}{col 49}F({res}  14{txt},{res}    186{txt}){col 67}= {res}      7.74
{txt}{col 49}Prob > F{col 67}= {res}    0.0000
{txt}{col 49}R-squared{col 67}= {res}    0.0972
{txt}{col 49}Adj R-squared{col 67}= {res}    0.0936
{txt}{col 49}Root MSE{col 67}= {res}    0.5587

{txt}{ralign 78:(Std. Err. adjusted for {res:187} clusters in hc_id)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}  e_commtg_z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2}  .005716{col 26}{space 2} .0278794{col 37}{space 1}    0.21{col 46}{space 3}0.838{col 54}{space 4}-.0492844{col 67}{space 3} .0607164
{txt}{space 2}b_commtg_z {c |}{col 14}{res}{space 2}  .075351{col 26}{space 2} .0135371{col 37}{space 1}    5.57{col 46}{space 3}0.000{col 54}{space 4}  .048645{col 67}{space 3} .1020571
{txt}b_commtg_z_d {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 1}c_tfull_hc2 {c |}{col 14}{res}{space 2} .1127772{col 26}{space 2} .0469224{col 37}{space 1}    2.40{col 46}{space 3}0.017{col 54}{space 4} .0202086{col 67}{space 3} .2053457
{txt}c_tfull_b_~l {c |}{col 14}{res}{space 2}  .054842{col 26}{space 2}  .069432{col 37}{space 1}    0.79{col 46}{space 3}0.431{col 54}{space 4}-.0821334{col 67}{space 3} .1918175
{txt}c_tfull_b_~s {c |}{col 14}{res}{space 2}-.0064699{col 26}{space 2}  .081617{col 37}{space 1}   -0.08{col 46}{space 3}0.937{col 54}{space 4}-.1674839{col 67}{space 3} .1545442
{txt}c_tfull_b_~d {c |}{col 14}{res}{space 2} .0433235{col 26}{space 2} .0462249{col 37}{space 1}    0.94{col 46}{space 3}0.350{col 54}{space 4} -.047869{col 67}{space 3}  .134516
{txt}c_tfull_ed~r {c |}{col 14}{res}{space 2} .0041103{col 26}{space 2} .0024131{col 37}{space 1}    1.70{col 46}{space 3}0.090{col 54}{space 4}-.0006503{col 67}{space 3}  .008871
{txt}c_tfull_b_~x {c |}{col 14}{res}{space 2} .0282947{col 26}{space 2} .0112299{col 37}{space 1}    2.52{col 46}{space 3}0.013{col 54}{space 4} .0061404{col 67}{space 3} .0504491
{txt}c_trea~l_hc2 {c |}{col 14}{res}{space 2} .0164751{col 26}{space 2} .0599684{col 37}{space 1}    0.27{col 46}{space 3}0.784{col 54}{space 4}-.1018307{col 67}{space 3} .1347808
{txt}c_treatful.. {c |}{col 14}{res}{space 2} .0554279{col 26}{space 2} .0787416{col 37}{space 1}    0.70{col 46}{space 3}0.482{col 54}{space 4}-.0999135{col 67}{space 3} .2107694
{txt}c_treatful.. {c |}{col 14}{res}{space 2} .0250956{col 26}{space 2} .0840533{col 37}{space 1}    0.30{col 46}{space 3}0.766{col 54}{space 4}-.1407247{col 67}{space 3}  .190916
{txt}c_treatful.. {c |}{col 14}{res}{space 2} .0976623{col 26}{space 2} .0626955{col 37}{space 1}    1.56{col 46}{space 3}0.121{col 54}{space 4}-.0260233{col 67}{space 3}  .221348
{txt}c_treatful.. {c |}{col 14}{res}{space 2} .0007403{col 26}{space 2} .0034503{col 37}{space 1}    0.21{col 46}{space 3}0.830{col 54}{space 4}-.0060665{col 67}{space 3} .0075472
{txt}c_treatful.. {c |}{col 14}{res}{space 2}-.0015996{col 26}{space 2} .0174295{col 37}{space 1}   -0.09{col 46}{space 3}0.927{col 54}{space 4}-.0359845{col 67}{space 3} .0327853
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} .0034965{col 26}{space 2} .0191534{col 37}{space 1}    0.18{col 46}{space 3}0.855{col 54}{space 4}-.0342894{col 67}{space 3} .0412824
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull = 0{p_end}

{txt}       F(  1,   186) ={res}    0.04
{txt}{col 13}Prob > F ={res}    0.8378
{txt}
{com}.                 
.         foreach x in `indices_hc_ols' {c -(}
{txt}  2{com}.                 areg  e_`x' `var' b_`x' b_`x'_d `e_controls_tfull_hc' ``var'_hc_int_e_controls' if uniquehc == 1, robust a(district)
{txt}  3{com}.                 
.                 estimates store me`y'
{txt}  4{com}.                 
.                 local n_1e_`x' = string(`e(N)',"%9.0fc")
{txt}  5{com}.                 local r2_1e_`x' = string(`e(r2)',"%9.3fc")
{txt}  6{com}.                 local est_1e_`x' = string(_b[`var'],"%9.3fc")
{txt}  7{com}.                 local se_1e_`x' = string(_se[`var'],"%9.3fc")
{txt}  8{com}.                 local p_1e_`x' = (2 * ttail(e(df_r), abs(_b[`var']/_se[`var'])))
{txt}  9{com}.                 local p_`y'e = (2 * ttail(e(df_r), abs(_b[`var']/_se[`var'])))
{txt} 10{com}.                 
.                 gen s_1e_1s_`x' = (`p_1e_`x''<=0.1 & `p_1e_`x''>0.05)
{txt} 11{com}.                 gen s_1e_2s_`x' = (`p_1e_`x''<=0.05 & `p_1e_`x''>0.01)
{txt} 12{com}.                 gen s_1e_3s_`x' = (`p_1e_`x''<=0.01 & `p_1e_`x''>=0)
{txt} 13{com}.         
.                 if s_1e_1s_`x' == 1 {c -(}
{txt} 14{com}.                                 local est_1e_`x' = "`est_1e_`x''*"
{txt} 15{com}.                                 {c )-}
{txt} 16{com}.                                 
.                 if s_1e_2s_`x' == 1 {c -(}
{txt} 17{com}.                                 local est_1e_`x' = "`est_1e_`x''**"
{txt} 18{com}.                                 {c )-}
{txt} 19{com}.                                 
.                 if s_1e_3s_`x' == 1 {c -(}
{txt} 20{com}.                                 local est_1e_`x' = "`est_1e_`x''***"
{txt} 21{com}.                                 {c )-}
{txt} 22{com}.                 
.                 local est_2e_`x' = string(_b[_cons],"%9.3fc")
{txt} 23{com}.                 local se_2e_`x' = string(_se[_cons],"%9.3fc")
{txt} 24{com}.                 local p_2e_`x' = (2 * ttail(e(df_r), abs(_b[_cons]/_se[_cons])))
{txt} 25{com}.                 
.                 gen s_2e_1s_`x' = (`p_2e_`x''<=0.1 & `p_2e_`x''>0.05)
{txt} 26{com}.                 gen s_2e_2s_`x' = (`p_2e_`x''<=0.05 & `p_2e_`x''>0.01)
{txt} 27{com}.                 gen s_2e_3s_`x' = (`p_2e_`x''<=0.01 & `p_2e_`x''>=0)
{txt} 28{com}.         
.                 if s_2e_1s_`x' == 1 {c -(}
{txt} 29{com}.                                 local est_2e_`x' = "`est_2e_`x''*"
{txt} 30{com}.                                 {c )-}
{txt} 31{com}.                                 
.                 if s_2e_2s_`x' == 1 {c -(}
{txt} 32{com}.                                 local est_2e_`x' = "`est_2e_`x''**"
{txt} 33{com}.                                 {c )-}
{txt} 34{com}.                                 
.                 if s_2e_3s_`x' == 1 {c -(}
{txt} 35{com}.                                 local est_2e_`x' = "`est_2e_`x''***"
{txt} 36{com}.                                 {c )-}
{txt} 37{com}.                                 
.                 test treatfull = 0
{txt} 38{com}.                 local f_walde_`x' = string(`r(p)',"%9.3fc")
{txt} 39{com}.                 
.                                         
.                 local y = `y' + 1
{txt} 40{com}.                 {c )-}
{p 0 6 2}{txt}note: b_h_ctzpressure_z_d omitted because of collinearity{p_end}
{res}
{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}       187
{txt}{col 49}F({res}  14{txt},{res}    157{txt}){col 67}= {res}      1.24
{txt}{col 49}Prob > F{col 67}= {res}    0.2484
{txt}{col 49}R-squared{col 67}= {res}    0.1524
{txt}{col 49}Adj R-squared{col 67}= {res}   -0.0042
{txt}{col 49}Root MSE{col 67}= {res}    0.6902

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}e_h_ctzpre~z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2}-.1398381{col 26}{space 2} .1016938{col 37}{space 1}   -1.38{col 46}{space 3}0.171{col 54}{space 4}-.3407026{col 67}{space 3} .0610265
{txt}b_h_ctzpre~z {c |}{col 14}{res}{space 2} .0076511{col 26}{space 2} .0690759{col 37}{space 1}    0.11{col 46}{space 3}0.912{col 54}{space 4}-.1287869{col 67}{space 3} .1440891
{txt}b_h_ctzpre~d {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
c_tf~_hc_hc2 {c |}{col 14}{res}{space 2}-.0858617{col 26}{space 2} .1520159{col 37}{space 1}   -0.56{col 46}{space 3}0.573{col 54}{space 4}-.3861219{col 67}{space 3} .2143985
{txt}c_tfull_hc~l {c |}{col 14}{res}{space 2} .0656689{col 26}{space 2}  .195336{col 37}{space 1}    0.34{col 46}{space 3}0.737{col 54}{space 4}-.3201566{col 67}{space 3} .4514944
{txt}c_tfull_hc~s {c |}{col 14}{res}{space 2} .6333753{col 26}{space 2} .2576883{col 37}{space 1}    2.46{col 46}{space 3}0.015{col 54}{space 4} .1243921{col 67}{space 3} 1.142359
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2}-.6222355{col 26}{space 2} .5768423{col 37}{space 1}   -1.08{col 46}{space 3}0.282{col 54}{space 4}-1.761608{col 67}{space 3} .5171372
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2}-.0480568{col 26}{space 2}  .084333{col 37}{space 1}   -0.57{col 46}{space 3}0.570{col 54}{space 4}-.2146304{col 67}{space 3} .1185168
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2}-.1589857{col 26}{space 2} .2356689{col 37}{space 1}   -0.67{col 46}{space 3}0.501{col 54}{space 4}-.6244763{col 67}{space 3} .3065049
{txt}c_treatful.. {c |}{col 14}{res}{space 2} .0552366{col 26}{space 2} .2415604{col 37}{space 1}    0.23{col 46}{space 3}0.819{col 54}{space 4}-.4218909{col 67}{space 3}  .532364
{txt}c_treatful.. {c |}{col 14}{res}{space 2}-.1737508{col 26}{space 2} .2468112{col 37}{space 1}   -0.70{col 46}{space 3}0.482{col 54}{space 4}-.6612497{col 67}{space 3} .3137481
{txt}c_treatful.. {c |}{col 14}{res}{space 2}-.5837434{col 26}{space 2} .2777031{col 37}{space 1}   -2.10{col 46}{space 3}0.037{col 54}{space 4} -1.13226{col 67}{space 3}-.0352272
{txt}c_treatful.. {c |}{col 14}{res}{space 2} .9261883{col 26}{space 2} 1.020651{col 37}{space 1}    0.91{col 46}{space 3}0.366{col 54}{space 4}-1.089791{col 67}{space 3} 2.942167
{txt}c_treatful.. {c |}{col 14}{res}{space 2} .1509128{col 26}{space 2} .1198398{col 37}{space 1}    1.26{col 46}{space 3}0.210{col 54}{space 4}-.0857935{col 67}{space 3} .3876192
{txt}c_treatful.. {c |}{col 14}{res}{space 2}-.0460213{col 26}{space 2} .2763784{col 37}{space 1}   -0.17{col 46}{space 3}0.868{col 54}{space 4}-.5919209{col 67}{space 3} .4998783
{txt}{space 7}_cons {c |}{col 14}{res}{space 2}  .014802{col 26}{space 2} .0641678{col 37}{space 1}    0.23{col 46}{space 3}0.818{col 54}{space 4}-.1119416{col 67}{space 3} .1415456
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull = 0{p_end}

{txt}       F(  1,   157) ={res}    1.89
{txt}{col 13}Prob > F ={res}    0.1711
{txt}
{com}.         
.         ********************
.         * Individual level *
.         ********************
.         
.         * Health outcome
.         
.         * At endline
.         
.         use "${c -(}usedata{c )-}/healthoutcome_endline_ind.dta", clear
{txt}
{com}.         
.         ***************
.         * Regressions *
.         ***************
. 
.         local var treatfull
{txt}
{com}.         
.         areg  e_healthoutcome_z treatfull b_healthoutcome_z b_healthoutcome_z_d `e_controls_tfull' ``var'_int_e_controls', robust cl(hc_id) a(district) 

{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}     4,930
{txt}{col 49}F({res}  15{txt},{res}    186{txt}){col 67}= {res}     49.15
{txt}{col 49}Prob > F{col 67}= {res}    0.0000
{txt}{col 49}R-squared{col 67}= {res}    0.1122
{txt}{col 49}Adj R-squared{col 67}= {res}    0.1067
{txt}{col 49}Root MSE{col 67}= {res}    0.8984

{txt}{ralign 78:(Std. Err. adjusted for {res:187} clusters in hc_id)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}e_healthou~z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2}-.0033963{col 26}{space 2} .0270478{col 37}{space 1}   -0.13{col 46}{space 3}0.900{col 54}{space 4}-.0567562{col 67}{space 3} .0499636
{txt}b_healthou~z {c |}{col 14}{res}{space 2} .1302072{col 26}{space 2} .0155592{col 37}{space 1}    8.37{col 46}{space 3}0.000{col 54}{space 4} .0995121{col 67}{space 3} .1609023
{txt}b_healthou~d {c |}{col 14}{res}{space 2} .6770636{col 26}{space 2}  .026726{col 37}{space 1}   25.33{col 46}{space 3}0.000{col 54}{space 4} .6243386{col 67}{space 3} .7297886
{txt}{space 1}c_tfull_hc2 {c |}{col 14}{res}{space 2} .0283452{col 26}{space 2} .0533759{col 37}{space 1}    0.53{col 46}{space 3}0.596{col 54}{space 4}-.0769548{col 67}{space 3} .1336452
{txt}c_tfull_b_~l {c |}{col 14}{res}{space 2}-.0147505{col 26}{space 2} .0657836{col 37}{space 1}   -0.22{col 46}{space 3}0.823{col 54}{space 4}-.1445285{col 67}{space 3} .1150274
{txt}c_tfull_b_~s {c |}{col 14}{res}{space 2}-.0122572{col 26}{space 2} .0696056{col 37}{space 1}   -0.18{col 46}{space 3}0.860{col 54}{space 4}-.1495751{col 67}{space 3} .1250607
{txt}c_tfull_b_~d {c |}{col 14}{res}{space 2}  .074849{col 26}{space 2} .0875182{col 37}{space 1}    0.86{col 46}{space 3}0.394{col 54}{space 4}-.0978068{col 67}{space 3} .2475048
{txt}c_tfull_ed~r {c |}{col 14}{res}{space 2} .0098675{col 26}{space 2} .0054247{col 37}{space 1}    1.82{col 46}{space 3}0.071{col 54}{space 4}-.0008343{col 67}{space 3} .0205693
{txt}c_tfull_b_~x {c |}{col 14}{res}{space 2}  .072321{col 26}{space 2}  .024921{col 37}{space 1}    2.90{col 46}{space 3}0.004{col 54}{space 4} .0231568{col 67}{space 3} .1214852
{txt}c_trea~l_hc2 {c |}{col 14}{res}{space 2} -.076098{col 26}{space 2} .0676823{col 37}{space 1}   -1.12{col 46}{space 3}0.262{col 54}{space 4}-.2096218{col 67}{space 3} .0574257
{txt}c_treatful.. {c |}{col 14}{res}{space 2}-.0559418{col 26}{space 2} .0741612{col 37}{space 1}   -0.75{col 46}{space 3}0.452{col 54}{space 4} -.202247{col 67}{space 3} .0903635
{txt}c_treatful.. {c |}{col 14}{res}{space 2}-.0559657{col 26}{space 2}  .075686{col 37}{space 1}   -0.74{col 46}{space 3}0.461{col 54}{space 4} -.205279{col 67}{space 3} .0933477
{txt}c_treatful.. {c |}{col 14}{res}{space 2}-.0862179{col 26}{space 2}   .10784{col 37}{space 1}   -0.80{col 46}{space 3}0.425{col 54}{space 4}-.2989646{col 67}{space 3} .1265288
{txt}c_treatful.. {c |}{col 14}{res}{space 2}-.0003268{col 26}{space 2} .0067286{col 37}{space 1}   -0.05{col 46}{space 3}0.961{col 54}{space 4} -.013601{col 67}{space 3} .0129475
{txt}c_treatful.. {c |}{col 14}{res}{space 2}-.0588372{col 26}{space 2} .0295923{col 37}{space 1}   -1.99{col 46}{space 3}0.048{col 54}{space 4}-.1172169{col 67}{space 3}-.0004574
{txt}{space 7}_cons {c |}{col 14}{res}{space 2}-.5103008{col 26}{space 2} .0220039{col 37}{space 1}  -23.19{col 46}{space 3}0.000{col 54}{space 4}-.5537102{col 67}{space 3}-.4668915
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{com}.         
.                 estimates store me6
{txt}
{com}.                 
.                 local n_1e_healthout_z = string(`e(N)',"%9.0fc")
{txt}
{com}.                 local r2_1e_healthout_z = string(`e(r2)',"%9.3fc")
{txt}
{com}.                 local est_1e_healthout_z = string(_b[`var'],"%9.3fc")
{txt}
{com}.                 local se_1e_healthout_z = string(_se[`var'],"%9.3fc")
{txt}
{com}.                 local p_1e_healthout_z = (2 * ttail(e(df_r), abs(_b[`var']/_se[`var'])))
{txt}
{com}.                 local p_6e = (2 * ttail(e(df_r), abs(_b[`var']/_se[`var'])))
{txt}
{com}.                 
.                 gen s_1e_1s_healthout_z = (`p_1e_healthout_z'<=0.1 & `p_1e_healthout_z'>0.05)
{txt}
{com}.                 gen s_1e_2s_healthout_z = (`p_1e_healthout_z'<=0.05 & `p_1e_healthout_z'>0.01)
{txt}
{com}.                 gen s_1e_3s_healthout_z = (`p_1e_healthout_z'<=0.01 & `p_1e_healthout_z'>=0)
{txt}
{com}.         
.                 if s_1e_1s_healthout_z == 1 {c -(}
.                                 local est_1e_healthout_z = "`est_1e_healthout_z'*"
.                                 {c )-}
{txt}
{com}.                                 
.                 if s_1e_2s_healthout_z == 1 {c -(}
.                                 local est_1e_healthout_z = "`est_1e_healthout_z'**"
.                                 {c )-}
{txt}
{com}.                                 
.                 if s_1e_3s_healthout_z == 1 {c -(}
.                                 local est_1e_healthout_z = "`est_1e_healthout_z'***"
.                                 {c )-}
{txt}
{com}.                 
.                 local est_2e_healthout_z = string(_b[_cons],"%9.3fc")
{txt}
{com}.                 local se_2e_healthout_z = string(_se[_cons],"%9.3fc")
{txt}
{com}.                 local p_2e_healthout_z = (2 * ttail(e(df_r), abs(_b[_cons]/_se[_cons])))
{txt}
{com}.                 
.                 gen s_2e_1s_healthout_z = (`p_2e_healthout_z'<=0.1 & `p_2e_healthout_z'>0.05)
{txt}
{com}.                 gen s_2e_2s_healthout_z = (`p_2e_healthout_z'<=0.05 & `p_2e_healthout_z'>0.01)
{txt}
{com}.                 gen s_2e_3s_healthout_z = (`p_2e_healthout_z'<=0.01 & `p_2e_healthout_z'>=0)
{txt}
{com}.         
.                 if s_2e_1s_healthout_z == 1 {c -(}
.                                 local est_2e_healthout_z = "`est_2e_healthout_z'*"
.                                 {c )-}
{txt}
{com}.                                 
.                 if s_2e_2s_healthout_z == 1 {c -(}
.                                 local est_2e_healthout_z = "`est_2e_healthout_z'**"
.                                 {c )-}
{txt}
{com}.                                 
.                 if s_2e_3s_healthout_z == 1 {c -(}
.                                 local est_2e_healthout_z = "`est_2e_healthout_z'***"
.                                 {c )-}
{txt}
{com}.                                 
.                 test treatfull = 0

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull = 0{p_end}

{txt}       F(  1,   186) ={res}    0.02
{txt}{col 13}Prob > F ={res}    0.9002
{txt}
{com}.                 local f_walde_healthout_z = string(`r(p)',"%9.3fc")
{txt}
{com}.                 
.         
.         * Child mortality
.         
.         * At endline
.         
.         use "${c -(}usedata{c )-}/chp_el_light_dataset.dta", clear
{txt}
{com}.                 
.         * We create the Mortality control variables local
.         
.         local  e_controls_noprefix hc2 b_h_del b_h_staff_houses b_visited_d educyr b_assetindex
{txt}
{com}.         
.         foreach bracket in 01 05 15 {c -(}
{txt}  2{com}.                 local controls_tfull`bracket'
{txt}  3{com}.                 {c )-}
{txt}
{com}.                 
.         foreach bracket in 01 05 15 {c -(}
{txt}  2{com}.                 foreach var in treatfull {c -(}
{txt}  3{com}.                         local `var'_`bracket'_controls
{txt}  4{com}.                         {c )-}
{txt}  5{com}.                 {c )-}
{txt}
{com}. 
.         * We populate the local we created for mortality
.                 
.         foreach bracket in 01 05 15 {c -(}
{txt}  2{com}.                 foreach var of local e_controls_noprefix {c -(}
{txt}  3{com}.                         local controls_tfull`bracket' `controls_tfull`bracket'' c_tfull`bracket'_`var'
{txt}  4{com}.                         {c )-}
{txt}  5{com}.                 {c )-}
{txt}
{com}.                 
.                 
.         foreach bracket in 01 05 15 {c -(}
{txt}  2{com}.                 foreach treat in treatfull {c -(}
{txt}  3{com}.                         foreach var of local e_controls_noprefix {c -(}
{txt}  4{com}.                                 local `treat'_`bracket'_controls ``treat'_`bracket'_controls' c_`treat'`bracket'_`var'
{txt}  5{com}.                                 {c )-}
{txt}  6{com}.                         {c )-}
{txt}  7{com}.                 {c )-}
{txt}
{com}.                 
.         * We regress the results at midline for the full bracket
.         
.         local var treatfull
{txt}
{com}.         
.         * Full treatment
.         
.         * Mortrate HC level (endline)
.         
.         local y = 7
{txt}
{com}.         foreach x in `indices_hc' {c -(}
{txt}  2{com}.                 areg  e_`x' `var' b_`x' `e_controls_tfull_hc' ``var'_hc_int_e_controls' if uniquehc == 1, robust a(district)
{txt}  3{com}.                 
.                 estimates store me`y'
{txt}  4{com}.                 
.                 local n_1e_`x' = string(`e(N)',"%9.0fc")
{txt}  5{com}.                 local r2_1e_`x' = string(`e(r2)',"%9.3fc")
{txt}  6{com}.                 local est_1e_`x' = string(_b[`var'],"%9.3fc")
{txt}  7{com}.                 local se_1e_`x' = string(_se[`var'],"%9.3fc")
{txt}  8{com}.                 local p_1e_`x' = (2 * ttail(e(df_r), abs(_b[`var']/_se[`var'])))
{txt}  9{com}.                 local p_`y'e = (2 * ttail(e(df_r), abs(_b[`var']/_se[`var'])))
{txt} 10{com}.                 
.                 gen s_1e_1s_`x' = (`p_1e_`x''<=0.1 & `p_1e_`x''>0.05)
{txt} 11{com}.                 gen s_1e_2s_`x' = (`p_1e_`x''<=0.05 & `p_1e_`x''>0.01)
{txt} 12{com}.                 gen s_1e_3s_`x' = (`p_1e_`x''<=0.01 & `p_1e_`x''>=0)
{txt} 13{com}.         
.                 if s_1e_1s_`x' == 1 {c -(}
{txt} 14{com}.                                 local est_1e_`x' = "`est_1e_`x''*"
{txt} 15{com}.                                 {c )-}
{txt} 16{com}.                                 
.                 if s_1e_2s_`x' == 1 {c -(}
{txt} 17{com}.                                 local est_1e_`x' = "`est_1e_`x''**"
{txt} 18{com}.                                 {c )-}
{txt} 19{com}.                                 
.                 if s_1e_3s_`x' == 1 {c -(}
{txt} 20{com}.                                 local est_1e_`x' = "`est_1e_`x''***"
{txt} 21{com}.                                 {c )-}
{txt} 22{com}.                 
.                 local est_2e_`x' = string(_b[_cons],"%9.3fc")
{txt} 23{com}.                 local se_2e_`x' = string(_se[_cons],"%9.3fc")
{txt} 24{com}.                 local p_2e_`x' = (2 * ttail(e(df_r), abs(_b[_cons]/_se[_cons])))
{txt} 25{com}.                 
.                 gen s_2e_1s_`x' = (`p_2e_`x''<=0.1 & `p_2e_`x''>0.05)
{txt} 26{com}.                 gen s_2e_2s_`x' = (`p_2e_`x''<=0.05 & `p_2e_`x''>0.01)
{txt} 27{com}.                 gen s_2e_3s_`x' = (`p_2e_`x''<=0.01 & `p_2e_`x''>=0)
{txt} 28{com}.         
.                 if s_2e_1s_`x' == 1 {c -(}
{txt} 29{com}.                                 local est_2e_`x' = "`est_2e_`x''*"
{txt} 30{com}.                                 {c )-}
{txt} 31{com}.                                 
.                 if s_2e_2s_`x' == 1 {c -(}
{txt} 32{com}.                                 local est_2e_`x' = "`est_2e_`x''**"
{txt} 33{com}.                                 {c )-}
{txt} 34{com}.                                 
.                 if s_2e_3s_`x' == 1 {c -(}
{txt} 35{com}.                                 local est_2e_`x' = "`est_2e_`x''***"
{txt} 36{com}.                                 {c )-}
{txt} 37{com}.                                 
.                 test treatfull = 0
{txt} 38{com}.                 local f_walde_`x' = string(`r(p)',"%9.3fc")
{txt} 39{com}.                                 
.                 {c )-}
{res}
{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}       187
{txt}{col 49}F({res}  14{txt},{res}    157{txt}){col 67}= {res}      1.41
{txt}{col 49}Prob > F{col 67}= {res}    0.1530
{txt}{col 49}R-squared{col 67}= {res}    0.1974
{txt}{col 49}Adj R-squared{col 67}= {res}    0.0492
{txt}{col 49}Root MSE{col 67}= {res}    0.0534

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}e_mortrat~05{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2}-.0105267{col 26}{space 2} .0079551{col 37}{space 1}   -1.32{col 46}{space 3}0.188{col 54}{space 4}-.0262397{col 67}{space 3} .0051862
{txt}b_mortrat~05 {c |}{col 14}{res}{space 2} .0808291{col 26}{space 2}  .065325{col 37}{space 1}    1.24{col 46}{space 3}0.218{col 54}{space 4}-.0482001{col 67}{space 3} .2098583
{txt}c_tf~_hc_hc2 {c |}{col 14}{res}{space 2} .0083737{col 26}{space 2} .0168654{col 37}{space 1}    0.50{col 46}{space 3}0.620{col 54}{space 4}-.0249386{col 67}{space 3} .0416859
{txt}c_tfull_hc~l {c |}{col 14}{res}{space 2} .0020266{col 26}{space 2} .0211816{col 37}{space 1}    0.10{col 46}{space 3}0.924{col 54}{space 4}-.0398112{col 67}{space 3} .0438643
{txt}c_tfull_hc~s {c |}{col 14}{res}{space 2} .0115205{col 26}{space 2} .0223521{col 37}{space 1}    0.52{col 46}{space 3}0.607{col 54}{space 4}-.0326291{col 67}{space 3}   .05567
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2} .0310707{col 26}{space 2} .0567591{col 37}{space 1}    0.55{col 46}{space 3}0.585{col 54}{space 4}-.0810392{col 67}{space 3} .1431807
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2}-.0063919{col 26}{space 2} .0071613{col 37}{space 1}   -0.89{col 46}{space 3}0.373{col 54}{space 4}-.0205367{col 67}{space 3} .0077529
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2} .0158802{col 26}{space 2} .0211947{col 37}{space 1}    0.75{col 46}{space 3}0.455{col 54}{space 4}-.0259833{col 67}{space 3} .0577437
{txt}c_treatful.. {c |}{col 14}{res}{space 2}-.0047529{col 26}{space 2} .0194419{col 37}{space 1}   -0.24{col 46}{space 3}0.807{col 54}{space 4}-.0431543{col 67}{space 3} .0336486
{txt}c_treatful.. {c |}{col 14}{res}{space 2}-.0018397{col 26}{space 2} .0234256{col 37}{space 1}   -0.08{col 46}{space 3}0.938{col 54}{space 4}-.0481097{col 67}{space 3} .0444302
{txt}c_treatful.. {c |}{col 14}{res}{space 2}-.0353364{col 26}{space 2} .0275786{col 37}{space 1}   -1.28{col 46}{space 3}0.202{col 54}{space 4}-.0898094{col 67}{space 3} .0191366
{txt}c_treatful.. {c |}{col 14}{res}{space 2}-.1735433{col 26}{space 2} .0910238{col 37}{space 1}   -1.91{col 46}{space 3}0.058{col 54}{space 4}-.3533325{col 67}{space 3}  .006246
{txt}c_treatful.. {c |}{col 14}{res}{space 2}-.0026096{col 26}{space 2} .0085994{col 37}{space 1}   -0.30{col 46}{space 3}0.762{col 54}{space 4}-.0195951{col 67}{space 3} .0143758
{txt}c_treatful.. {c |}{col 14}{res}{space 2} -.017001{col 26}{space 2} .0275689{col 37}{space 1}   -0.62{col 46}{space 3}0.538{col 54}{space 4}-.0714548{col 67}{space 3} .0374529
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} .0606025{col 26}{space 2} .0063477{col 37}{space 1}    9.55{col 46}{space 3}0.000{col 54}{space 4} .0480645{col 67}{space 3} .0731405
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull = 0{p_end}

{txt}       F(  1,   157) ={res}    1.75
{txt}{col 13}Prob > F ={res}    0.1877
{txt}
{com}.         
.         
.         * We create the coeffplot
.         
.         coefplot (me4 \ me5 \ me1 \ me2 \ me3 \ me6 \ me7), keep(`var') xline(0, lcolor(gray)) scheme(s1mono) mcolor(blue) mlcolor(blue) levels(95 90) ciopts(lcolor(blue blue) lwidth(medium thick)) grid(none) xtick(-.4 -.2 0 .2 .4) xlabel(-.4 -.2 0 .2 .4) aseq swapnames coeflabels(me1 = "Utilization" me2 = "Treatment quality" me3 = "Patient satisfaction" me4 = "Citizen monitoring" me5 = "Perceived citizen pressure" me6 = "Health outcomes" me7 = "Child mortality")  note("Displaying 95% and 90% confidence intervals")
{res}{txt}
{com}.         qui graph export "${c -(}Figures{c )-}/Figure3.png", replace
{txt}
{com}.         
.         *****************************************************
.         * Table I1: Main outcomes: Averaged z-score indices *
.         *****************************************************
.         
.         * Endline
.         
.         local pse `p_1e'
{txt}
{com}.         forvalues x = 2/`y' {c -(}
{txt}  2{com}.                 local pse `pse' \ `p_`x'e'
{txt}  3{com}.                 {c )-}
{txt}
{com}. 
.         matrix mat = (`pse')
{txt}
{com}.                 
.         * We need to rank the p-value, transpose it and transfer it to local
.         
.         matsort mat 1 "up"
{txt}
{com}.         
.         mat pse_mat = mat'
{txt}
{com}.         
.         mat list pse_mat
{res}
{txt}pse_mat[1,7]
           r3         r2         r5         r7
c1 {res} .00137691  .00797693  .17106297  .18767307

{txt}           r1         r4         r6
c1 {res} .21289925  .83777628  .90020941
{reset}
{com}.         
.         local pse_rank
{txt}
{com}.         
.         forvalues z = 1/`y' {c -(}
{txt}  2{com}.                 local x = pse_mat[1,`z']
{txt}  3{com}.                 local pse_rank `pse_rank' `x'
{txt}  4{com}.                 {c )-}
{txt}
{com}.                 
.         di "`pse_rank'"
{res}.0013769064528348 .0079769347623413 .1710629699068862 .1876730660375945 .2128992542447812 .8377762792978893 .9002094079978111
{txt}
{com}.         
.         * We count the number of tests (numerator)
.         
.         local num_p = `y'
{txt}
{com}.         
.         * We calculate the BH value
.         
.         local z = 0
{txt}
{com}.         foreach i of local pse_rank {c -(}
{txt}  2{com}.                 local z = `z' + 1 
{txt}  3{com}.                 local adj_p`z'e = (`i' * `num_p') / `z'
{txt}  4{com}.                 {c )-}
{txt}
{com}.                 
.         * We compare it according to the rank and eventually replace it
.         
.         forvalues r = 1/`y' {c -(}
{txt}  2{com}.         local d = `y' - 1
{txt}  3{com}.         forvalues z = 1/`d' {c -(}
{txt}  4{com}.                 local v = `z' + 1
{txt}  5{com}.                         if `adj_p`z'e' >= `adj_p`v'e' {c -(}
{txt}  6{com}.                                 local adj_p`z'e `adj_p`v'e'
{txt}  7{com}.                                 {c )-}
{txt}  8{com}.                         {c )-}
{txt}  9{com}.                         {c )-}
{txt}
{com}.         
.         * We store it in the estimator
.         
.         local z = 0
{txt}
{com}.         foreach i of local pse_rank {c -(}
{txt}  2{com}.                 local z = `z' + 1 
{txt}  3{com}.                 forvalues j = 1/`y' {c -(}
{txt}  4{com}.                         if `i' == `p_`j'e' {c -(} 
{txt}  5{com}.                         local adj_pe`j' = string(`adj_p`z'e',"%9.3fc")
{txt}  6{com}.                         {c )-}
{txt}  7{com}.                 {c )-}
{txt}  8{com}.                 {c )-}
{txt}
{com}.         
.         * We create the tables concerning the results of the main indices
.         
.         texdoc init "${c -(}tables{c )-}/TableI1.tex", replace force
{res}{txt}(texdoc output file is /Users/fredericcochinard/Dropbox/ACT_Health_JOP_replication_file/3.Tables and Figures/Tables/TableI1.tex)
{res}{txt}
{com}.         tex \begin{c -(}table{c )-}[htbp]\centering
{res}{txt}
{com}.         tex \footnotesize
{res}{txt}
{com}.         tex \def\sym#1{c -(}\ifmmode^{c -(}#1{c )-}\else\(^{c -(}#1{c )-}\)\fi{c )-}
{res}{txt}
{com}.         tex \caption{c -(}Main outcomes - Full treatment{c )-}
{res}{txt}
{com}.         tex \begin{c -(}tabular{c )-}{c -(}lgggggggg{c )-}
{res}{txt}
{com}.         tex \toprule
{res}{txt}
{com}.         tex                                                                                       & (1)                       & (2)                                                          & (3)                                                             & (4)                                                        & (5)  & (6) & (7)                       \\
{res}{txt}
{com}.     tex \multirow{c -(}-2{c )-}{c -(}*{c )-}{c -(}{c )-}                              & \textbf{c -(}\begin{c -(}tabular{c )-}[c]{c -(}@{c -(}{c )-}c@{c -(}{c )-}{c )-}Citizen \\ monitoring\end{c -(}tabular{c )-}{c )-} & \textbf{c -(}\begin{c -(}tabular{c )-}[c]{c -(}@{c -(}{c )-}c@{c -(}{c )-}{c )-}Perceived citizen \\ pressure\end{c -(}tabular{c )-}{c )-}  & \textbf{c -(}Utilization{c )-}      & \textbf{c -(}\begin{c -(}tabular{c )-}[c]{c -(}@{c -(}{c )-}c@{c -(}{c )-}{c )-}Treatment \\ quality\end{c -(}tabular{c )-}{c )-} & \textbf{c -(}\begin{c -(}tabular{c )-}[c]{c -(}@{c -(}{c )-}c@{c -(}{c )-}{c )-}Patient \\ satisfaction\end{c -(}tabular{c )-}{c )-} & \textbf{c -(}\begin{c -(}tabular{c )-}[c]{c -(}@{c -(}{c )-}c@{c -(}{c )-}{c )-}Health \\ outcomes\end{c -(}tabular{c )-}{c )-} & \textbf{c -(}\begin{c -(}tabular{c )-}[c]{c -(}@{c -(}{c )-}c@{c -(}{c )-}{c )-}Child \\ mortality\end{c -(}tabular{c )-}{c )-}        \\
{res}{txt}
{com}.         tex \midrule
{res}{txt}
{com}.         tex \multirow{c -(}2{c )-}{c -(}*{c )-}{c -(}Full treatment{c )-}  & `est_1e_commtg_z' & `est_1e_h_ctzpressure_z' & `est_1e_urate_z'           & `est_1e_treatqual_z'                                                            & `est_1e_patsat_z'                                                              & `est_1e_healthout_z'                                                          & `est_1e_mortrate_05'         \\
{res}{txt}
{com}.         tex  & (`se_1e_commtg_z') & (`se_1e_h_ctzpressure_z') & (`se_1e_urate_z')           & (`se_1e_treatqual_z')                                                            & (`se_1e_patsat_z')                                                              & (`se_1e_healthout_z')                                                         & (`se_1e_mortrate_05')         \\
{res}{txt}
{com}.         tex \multirow{c -(}2{c )-}{c -(}*{c )-}{c -(}Constant{c )-}  & `est_2e_commtg_z' & `est_2e_h_ctzpressure_z' & `est_2e_urate_z'           & `est_2e_treatqual_z'                                                            & `est_2e_patsat_z'                                                              & `est_2e_healthout_z'                                                          & `est_2e_mortrate_05'         \\
{res}{txt}
{com}.         tex  & (`se_2e_commtg_z') & (`se_2e_h_ctzpressure_z') & (`se_2e_urate_z')           & (`se_2e_treatqual_z')                                                            & (`se_2e_patsat_z')                                                               & (`se_2e_healthout_z')                                                          & `se_2e_mortrate_05'         \\
{res}{txt}
{com}.         tex \midrule
{res}{txt}
{com}.         tex \multirow{c -(}1{c )-}{c -(}*{c )-}{c -(}N{c )-} & `n_1e_commtg_z'  & `n_1e_h_ctzpressure_z' & `n_1e_urate_z'           & `n_1e_treatqual_z'                                                            & `n_1e_patsat_z'                                                            & `n_1e_healthout_z'                                                          & `n_1e_mortrate_05'         \\
{res}{txt}
{com}.         tex \multirow{c -(}1{c )-}{c -(}*{c )-}{c -(}R$^{c -(}2{c )-}${c )-}   & `r2_1e_commtg_z'  & `r2_1e_h_ctzpressure_z' & `r2_1e_urate_z'           & `r2_1e_treatqual_z'                                                           & `r2_1e_patsat_z'                                                             & `r2_1e_healthout_z'                                                         & `r2_1e_mortrate_05'         \\
{res}{txt}
{com}.         tex \multirow{c -(}1{c )-}{c -(}*{c )-}{c -(}P-value (Full treatment = 0){c )-}   & `f_walde_commtg_z'  & `f_walde_h_ctzpressure_z'  & `f_walde_urate_z'           & `f_walde_treatqual_z'                                                            & `f_walde_patsat_z'                                                              & `f_walde_healthout_z'                                                          & `f_walde_mortrate_05'         \\
{res}{txt}
{com}.         tex \multirow{c -(}2{c )-}{c -(}*{c )-}{c -(}Adjusted p-value (FT){c )-}   & `adj_pe4'  & `adj_pe5' & `adj_pe1'           & `adj_pe2'                                                            & `adj_pe3'                                                              & `adj_pe6'                                                          & `adj_pe7'         \\
{res}{txt}
{com}.         tex \bottomrule
{res}{txt}
{com}.         tex \end{c -(}tabular{c )-}
{res}{txt}
{com}.         tex \end{c -(}table{c )-}
{res}{txt}
{com}.         texdoc close
{txt}(texdoc output written to {browse `"/Users/fredericcochinard/Dropbox/ACT_Health_JOP_replication_file/3.Tables and Figures/Tables/TableI1.tex"':/Users/fredericcochinard/Dropbox/ACT_Health_JOP_replication_file/3.Tables and Figures/Tables/TableI1.tex})
{res}{txt}
{com}.         
.         *************************************************************************************
.         * Figure 4: Treatment effects on outcome indices and their subcomponents at endline *
.         *************************************************************************************
.         
.         *****
.         * & *
.         *****
.         
.         *******************************************************
.         * Figure 7: Quantile regressions of treatment effects *
.         *******************************************************
.         
.         local var treatfull
{txt}
{com}.         
.         use "${c -(}usedata{c )-}/chp_el_light_dataset.dta", clear
{txt}
{com}.         
.         local indices urate_z treatqual_z patsat_z commtg_z
{txt}
{com}.         local indices_ho healthout_z
{txt}
{com}.         local indices_hc mortrate_05 h_ctzpressure_z
{txt}
{com}.         
.         ***********************
.         * Quantile regression *
.         ***********************
.         
.         eststo clear
{txt}
{com}.         
.         local var treatfull
{txt}
{com}.         
.         * Main indices 
.         
.         local z = 0
{txt}
{com}.         foreach x in `indices' {c -(}
{txt}  2{com}.                 
.                 local z = `z' + 1
{txt}  3{com}.                 
.                 areg  e_`x' `var' b_`x' b_`x'_d `e_controls_tfull' ``var'_int_e_controls', robust cl(hc_id) a(district)
{txt}  4{com}.                 
.                 local est_`x' = _b[`var']
{txt}  5{com}.                 estimates store m`z'
{txt}  6{com}.                 
.                 forvalues y = 1/9 {c -(}
{txt}  7{com}.                         xi: qreg2 e_`x' `var' b_`x' b_`x'_d `e_controls_tfull' ``var'_int_e_controls' i.district, q(.`y') cl(hc_id)
{txt}  8{com}.                         estimates store m`z'_`y'
{txt}  9{com}.                         {c )-}
{txt} 10{com}.                 {c )-}
{txt}note: b_urate_z_d omitted because of collinearity
{res}
{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}     7,288
{txt}{col 49}F({res}  14{txt},{res}    186{txt}){col 67}= {res}     58.65
{txt}{col 49}Prob > F{col 67}= {res}    0.0000
{txt}{col 49}R-squared{col 67}= {res}    0.2303
{txt}{col 49}Adj R-squared{col 67}= {res}    0.2272
{txt}{col 49}Root MSE{col 67}= {res}    0.6613

{txt}{ralign 78:(Std. Err. adjusted for {res:187} clusters in hc_id)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}   e_urate_z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2} .0271978{col 26}{space 2} .0217596{col 37}{space 1}    1.25{col 46}{space 3}0.213{col 54}{space 4}-.0157296{col 67}{space 3} .0701252
{txt}{space 3}b_urate_z {c |}{col 14}{res}{space 2} .3547532{col 26}{space 2} .0146163{col 37}{space 1}   24.27{col 46}{space 3}0.000{col 54}{space 4} .3259182{col 67}{space 3} .3835882
{txt}{space 1}b_urate_z_d {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 1}c_tfull_hc2 {c |}{col 14}{res}{space 2} .0272114{col 26}{space 2}  .042466{col 37}{space 1}    0.64{col 46}{space 3}0.522{col 54}{space 4}-.0565655{col 67}{space 3} .1109884
{txt}c_tfull_b_~l {c |}{col 14}{res}{space 2} .0355857{col 26}{space 2} .0475296{col 37}{space 1}    0.75{col 46}{space 3}0.455{col 54}{space 4}-.0581806{col 67}{space 3} .1293521
{txt}c_tfull_b_~s {c |}{col 14}{res}{space 2} .0450058{col 26}{space 2} .0491821{col 37}{space 1}    0.92{col 46}{space 3}0.361{col 54}{space 4}-.0520205{col 67}{space 3} .1420322
{txt}c_tfull_b_~d {c |}{col 14}{res}{space 2} .1640347{col 26}{space 2} .0583979{col 37}{space 1}    2.81{col 46}{space 3}0.006{col 54}{space 4} .0488273{col 67}{space 3} .2792422
{txt}c_tfull_ed~r {c |}{col 14}{res}{space 2}-.0127052{col 26}{space 2} .0028397{col 37}{space 1}   -4.47{col 46}{space 3}0.000{col 54}{space 4}-.0183074{col 67}{space 3} -.007103
{txt}c_tfull_b_~x {c |}{col 14}{res}{space 2}-.0388435{col 26}{space 2} .0130071{col 37}{space 1}   -2.99{col 46}{space 3}0.003{col 54}{space 4}-.0645039{col 67}{space 3}-.0131832
{txt}c_trea~l_hc2 {c |}{col 14}{res}{space 2}-.0204218{col 26}{space 2} .0519747{col 37}{space 1}   -0.39{col 46}{space 3}0.695{col 54}{space 4}-.1229576{col 67}{space 3}  .082114
{txt}c_treatful.. {c |}{col 14}{res}{space 2}-.0229078{col 26}{space 2} .0565582{col 37}{space 1}   -0.41{col 46}{space 3}0.686{col 54}{space 4}-.1344858{col 67}{space 3} .0886702
{txt}c_treatful.. {c |}{col 14}{res}{space 2}-.0293108{col 26}{space 2} .0701385{col 37}{space 1}   -0.42{col 46}{space 3}0.677{col 54}{space 4}  -.16768{col 67}{space 3} .1090585
{txt}c_treatful.. {c |}{col 14}{res}{space 2}-.0347969{col 26}{space 2} .0805983{col 37}{space 1}   -0.43{col 46}{space 3}0.666{col 54}{space 4}-.1938012{col 67}{space 3} .1242075
{txt}c_treatful.. {c |}{col 14}{res}{space 2}  .002689{col 26}{space 2} .0041503{col 37}{space 1}    0.65{col 46}{space 3}0.518{col 54}{space 4}-.0054988{col 67}{space 3} .0108768
{txt}c_treatful.. {c |}{col 14}{res}{space 2}-.0121644{col 26}{space 2} .0189232{col 37}{space 1}   -0.64{col 46}{space 3}0.521{col 54}{space 4}-.0494962{col 67}{space 3} .0251673
{txt}{space 7}_cons {c |}{col 14}{res}{space 2}-.0197344{col 26}{space 2} .0155195{col 37}{space 1}   -1.27{col 46}{space 3}0.205{col 54}{space 4}-.0503512{col 67}{space 3} .0108824
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)
i.district{col 19}_Idistrict_1-16{col 39}(naturally coded; _Idistrict_1 omitted)
note: b_urate_z_d omitted because of collinearity
{res}
{txt}.1 Quantile regression
R-squared = {res}.2187934
{txt}Number of obs = {res}7288
{txt}Objective function = {res}.11156328

{txt}Standard errors adjusted for {res}187{txt} clusters in hc_id
{res}{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}   e_urate_z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2}-.0013142{col 26}{space 2} .0321624{col 37}{space 1}   -0.04{col 46}{space 3}0.967{col 54}{space 4}-.0643618{col 67}{space 3} .0617334
{txt}{space 3}b_urate_z {c |}{col 14}{res}{space 2} .2980279{col 26}{space 2} .0237421{col 37}{space 1}   12.55{col 46}{space 3}0.000{col 54}{space 4} .2514865{col 67}{space 3} .3445692
{txt}{space 1}b_urate_z_d {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 1}c_tfull_hc2 {c |}{col 14}{res}{space 2} .0426833{col 26}{space 2} .0563722{col 37}{space 1}    0.76{col 46}{space 3}0.449{col 54}{space 4}-.0678225{col 67}{space 3} .1531892
{txt}c_tfull_b_~l {c |}{col 14}{res}{space 2} .0107166{col 26}{space 2} .0593739{col 37}{space 1}    0.18{col 46}{space 3}0.857{col 54}{space 4}-.1056735{col 67}{space 3} .1271067
{txt}c_tfull_b_~s {c |}{col 14}{res}{space 2}  .061646{col 26}{space 2} .0600958{col 37}{space 1}    1.03{col 46}{space 3}0.305{col 54}{space 4}-.0561593{col 67}{space 3} .1794513
{txt}c_tfull_b_~d {c |}{col 14}{res}{space 2} .1712306{col 26}{space 2} .0662827{col 37}{space 1}    2.58{col 46}{space 3}0.010{col 54}{space 4} .0412973{col 67}{space 3}  .301164
{txt}c_tfull_ed~r {c |}{col 14}{res}{space 2}-.0092066{col 26}{space 2} .0046449{col 37}{space 1}   -1.98{col 46}{space 3}0.048{col 54}{space 4} -.018312{col 67}{space 3}-.0001012
{txt}c_tfull_b_~x {c |}{col 14}{res}{space 2} -.026857{col 26}{space 2} .0207804{col 37}{space 1}   -1.29{col 46}{space 3}0.196{col 54}{space 4}-.0675926{col 67}{space 3} .0138785
{txt}c_trea~l_hc2 {c |}{col 14}{res}{space 2} .0376855{col 26}{space 2} .0733269{col 37}{space 1}    0.51{col 46}{space 3}0.607{col 54}{space 4}-.1060567{col 67}{space 3} .1814276
{txt}c_treatful.. {c |}{col 14}{res}{space 2} .0469912{col 26}{space 2} .0733908{col 37}{space 1}    0.64{col 46}{space 3}0.522{col 54}{space 4}-.0968761{col 67}{space 3} .1908585
{txt}c_treatful.. {c |}{col 14}{res}{space 2}-.0643932{col 26}{space 2} .0800626{col 37}{space 1}   -0.80{col 46}{space 3}0.421{col 54}{space 4}-.2213392{col 67}{space 3} .0925527
{txt}c_treatful.. {c |}{col 14}{res}{space 2}-.0846391{col 26}{space 2} .0774762{col 37}{space 1}   -1.09{col 46}{space 3}0.275{col 54}{space 4} -.236515{col 67}{space 3} .0672368
{txt}c_treatful.. {c |}{col 14}{res}{space 2} .0097648{col 26}{space 2} .0075797{col 37}{space 1}    1.29{col 46}{space 3}0.198{col 54}{space 4}-.0050936{col 67}{space 3} .0246232
{txt}c_treatful.. {c |}{col 14}{res}{space 2}  -.03496{col 26}{space 2} .0274582{col 37}{space 1}   -1.27{col 46}{space 3}0.203{col 54}{space 4} -.088786{col 67}{space 3}  .018866
{txt}_Idistrict_2 {c |}{col 14}{res}{space 2} .0171788{col 26}{space 2} .1013175{col 37}{space 1}    0.17{col 46}{space 3}0.865{col 54}{space 4}-.1814329{col 67}{space 3} .2157905
{txt}_Idistrict_3 {c |}{col 14}{res}{space 2} .1353225{col 26}{space 2} .0927173{col 37}{space 1}    1.46{col 46}{space 3}0.144{col 54}{space 4}-.0464304{col 67}{space 3} .3170754
{txt}_Idistrict_4 {c |}{col 14}{res}{space 2}-.1509176{col 26}{space 2} .1035932{col 37}{space 1}   -1.46{col 46}{space 3}0.145{col 54}{space 4}-.3539904{col 67}{space 3} .0521552
{txt}_Idistrict_5 {c |}{col 14}{res}{space 2} .0376075{col 26}{space 2} .0964913{col 37}{space 1}    0.39{col 46}{space 3}0.697{col 54}{space 4}-.1515434{col 67}{space 3} .2267585
{txt}_Idistrict_6 {c |}{col 14}{res}{space 2}  .228956{col 26}{space 2} .0899875{col 37}{space 1}    2.54{col 46}{space 3}0.011{col 54}{space 4} .0525543{col 67}{space 3} .4053576
{txt}_Idistrict_7 {c |}{col 14}{res}{space 2} .1046204{col 26}{space 2} .1009121{col 37}{space 1}    1.04{col 46}{space 3}0.300{col 54}{space 4}-.0931968{col 67}{space 3} .3024375
{txt}_Idistrict_8 {c |}{col 14}{res}{space 2} .2894952{col 26}{space 2} .0963479{col 37}{space 1}    3.00{col 46}{space 3}0.003{col 54}{space 4} .1006253{col 67}{space 3}  .478365
{txt}_Idistrict_9 {c |}{col 14}{res}{space 2}-.0705332{col 26}{space 2} .0935466{col 37}{space 1}   -0.75{col 46}{space 3}0.451{col 54}{space 4}-.2539117{col 67}{space 3} .1128453
{txt}_Idistric~10 {c |}{col 14}{res}{space 2}-.1482686{col 26}{space 2} .1010732{col 37}{space 1}   -1.47{col 46}{space 3}0.142{col 54}{space 4}-.3464015{col 67}{space 3} .0498642
{txt}_Idistric~11 {c |}{col 14}{res}{space 2}-.0804614{col 26}{space 2} .0863051{col 37}{space 1}   -0.93{col 46}{space 3}0.351{col 54}{space 4}-.2496444{col 67}{space 3} .0887216
{txt}_Idistric~12 {c |}{col 14}{res}{space 2}-.1961292{col 26}{space 2} .0794677{col 37}{space 1}   -2.47{col 46}{space 3}0.014{col 54}{space 4} -.351909{col 67}{space 3}-.0403494
{txt}_Idistric~13 {c |}{col 14}{res}{space 2}-.3284421{col 26}{space 2} .0802196{col 37}{space 1}   -4.09{col 46}{space 3}0.000{col 54}{space 4}-.4856959{col 67}{space 3}-.1711883
{txt}_Idistric~14 {c |}{col 14}{res}{space 2}-.3154839{col 26}{space 2} .1882072{col 37}{space 1}   -1.68{col 46}{space 3}0.094{col 54}{space 4}-.6844248{col 67}{space 3}  .053457
{txt}_Idistric~15 {c |}{col 14}{res}{space 2}-.2972795{col 26}{space 2} .0815466{col 37}{space 1}   -3.65{col 46}{space 3}0.000{col 54}{space 4}-.4571347{col 67}{space 3}-.1374244
{txt}_Idistric~16 {c |}{col 14}{res}{space 2} .0364737{col 26}{space 2} .1051254{col 37}{space 1}    0.35{col 46}{space 3}0.729{col 54}{space 4}-.1696027{col 67}{space 3} .2425501
{txt}{space 7}_cons {c |}{col 14}{res}{space 2}-.7843389{col 26}{space 2} .0759528{col 37}{space 1}  -10.33{col 46}{space 3}0.000{col 54}{space 4}-.9332284{col 67}{space 3}-.6354494
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

Parente-Santos Silva test for intra-cluster correlation
         Ho: No intra-cluster correlation

            T{col 17}=  {res} 2.915
{txt}         P>|T|  =  {res} 0.004
{txt}i.district{col 19}_Idistrict_1-16{col 39}(naturally coded; _Idistrict_1 omitted)
note: b_urate_z_d omitted because of collinearity
{res}
{txt}.2 Quantile regression
R-squared = {res}.2252617
{txt}Number of obs = {res}7288
{txt}Objective function = {res}.18067753

{txt}Standard errors adjusted for {res}187{txt} clusters in hc_id
{res}{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}   e_urate_z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2} .0179184{col 26}{space 2} .0265115{col 37}{space 1}    0.68{col 46}{space 3}0.499{col 54}{space 4}-.0340519{col 67}{space 3} .0698888
{txt}{space 3}b_urate_z {c |}{col 14}{res}{space 2} .3517579{col 26}{space 2} .0218689{col 37}{space 1}   16.08{col 46}{space 3}0.000{col 54}{space 4} .3088885{col 67}{space 3} .3946273
{txt}{space 1}b_urate_z_d {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 1}c_tfull_hc2 {c |}{col 14}{res}{space 2}  .033055{col 26}{space 2} .0537505{col 37}{space 1}    0.61{col 46}{space 3}0.539{col 54}{space 4}-.0723116{col 67}{space 3} .1384216
{txt}c_tfull_b_~l {c |}{col 14}{res}{space 2}-.0307912{col 26}{space 2} .0630035{col 37}{space 1}   -0.49{col 46}{space 3}0.625{col 54}{space 4}-.1542963{col 67}{space 3} .0927139
{txt}c_tfull_b_~s {c |}{col 14}{res}{space 2} .1199908{col 26}{space 2} .0690385{col 37}{space 1}    1.74{col 46}{space 3}0.082{col 54}{space 4}-.0153448{col 67}{space 3} .2553263
{txt}c_tfull_b_~d {c |}{col 14}{res}{space 2} .2365002{col 26}{space 2} .0616649{col 37}{space 1}    3.84{col 46}{space 3}0.000{col 54}{space 4} .1156189{col 67}{space 3} .3573814
{txt}c_tfull_ed~r {c |}{col 14}{res}{space 2}-.0117898{col 26}{space 2} .0043213{col 37}{space 1}   -2.73{col 46}{space 3}0.006{col 54}{space 4}-.0202608{col 67}{space 3}-.0033188
{txt}c_tfull_b_~x {c |}{col 14}{res}{space 2}-.0172985{col 26}{space 2} .0146885{col 37}{space 1}   -1.18{col 46}{space 3}0.239{col 54}{space 4}-.0460923{col 67}{space 3} .0114953
{txt}c_trea~l_hc2 {c |}{col 14}{res}{space 2}-.0032767{col 26}{space 2} .0663295{col 37}{space 1}   -0.05{col 46}{space 3}0.961{col 54}{space 4}-.1333018{col 67}{space 3} .1267484
{txt}c_treatful.. {c |}{col 14}{res}{space 2} .0334814{col 26}{space 2} .0724013{col 37}{space 1}    0.46{col 46}{space 3}0.644{col 54}{space 4}-.1084463{col 67}{space 3}  .175409
{txt}c_treatful.. {c |}{col 14}{res}{space 2}-.1083989{col 26}{space 2} .0870549{col 37}{space 1}   -1.25{col 46}{space 3}0.213{col 54}{space 4}-.2790518{col 67}{space 3} .0622541
{txt}c_treatful.. {c |}{col 14}{res}{space 2}-.0498702{col 26}{space 2} .0791594{col 37}{space 1}   -0.63{col 46}{space 3}0.529{col 54}{space 4}-.2050457{col 67}{space 3} .1053053
{txt}c_treatful.. {c |}{col 14}{res}{space 2} .0056859{col 26}{space 2} .0055046{col 37}{space 1}    1.03{col 46}{space 3}0.302{col 54}{space 4}-.0051047{col 67}{space 3} .0164766
{txt}c_treatful.. {c |}{col 14}{res}{space 2}-.0415154{col 26}{space 2} .0237352{col 37}{space 1}   -1.75{col 46}{space 3}0.080{col 54}{space 4}-.0880432{col 67}{space 3} .0050125
{txt}_Idistrict_2 {c |}{col 14}{res}{space 2} .0727068{col 26}{space 2}  .076616{col 37}{space 1}    0.95{col 46}{space 3}0.343{col 54}{space 4}-.0774827{col 67}{space 3} .2228964
{txt}_Idistrict_3 {c |}{col 14}{res}{space 2} .1982838{col 26}{space 2}  .102641{col 37}{space 1}    1.93{col 46}{space 3}0.053{col 54}{space 4}-.0029223{col 67}{space 3}   .39949
{txt}_Idistrict_4 {c |}{col 14}{res}{space 2}-.1005497{col 26}{space 2} .0604769{col 37}{space 1}   -1.66{col 46}{space 3}0.096{col 54}{space 4} -.219102{col 67}{space 3} .0180026
{txt}_Idistrict_5 {c |}{col 14}{res}{space 2} .1405988{col 26}{space 2}  .075038{col 37}{space 1}    1.87{col 46}{space 3}0.061{col 54}{space 4}-.0064975{col 67}{space 3} .2876951
{txt}_Idistrict_6 {c |}{col 14}{res}{space 2}   .20438{col 26}{space 2} .0581059{col 37}{space 1}    3.52{col 46}{space 3}0.000{col 54}{space 4} .0904755{col 67}{space 3} .3182845
{txt}_Idistrict_7 {c |}{col 14}{res}{space 2} .2129146{col 26}{space 2} .0699603{col 37}{space 1}    3.04{col 46}{space 3}0.002{col 54}{space 4} .0757721{col 67}{space 3} .3500572
{txt}_Idistrict_8 {c |}{col 14}{res}{space 2} .2654187{col 26}{space 2} .0779229{col 37}{space 1}    3.41{col 46}{space 3}0.001{col 54}{space 4} .1126671{col 67}{space 3} .4181702
{txt}_Idistrict_9 {c |}{col 14}{res}{space 2} .0338038{col 26}{space 2} .1093103{col 37}{space 1}    0.31{col 46}{space 3}0.757{col 54}{space 4}-.1804761{col 67}{space 3} .2480838
{txt}_Idistric~10 {c |}{col 14}{res}{space 2}-.1351175{col 26}{space 2} .1132322{col 37}{space 1}   -1.19{col 46}{space 3}0.233{col 54}{space 4}-.3570854{col 67}{space 3} .0868505
{txt}_Idistric~11 {c |}{col 14}{res}{space 2}-.0959121{col 26}{space 2} .0645644{col 37}{space 1}   -1.49{col 46}{space 3}0.137{col 54}{space 4}-.2224771{col 67}{space 3} .0306529
{txt}_Idistric~12 {c |}{col 14}{res}{space 2}-.1905173{col 26}{space 2} .0748691{col 37}{space 1}   -2.54{col 46}{space 3}0.011{col 54}{space 4}-.3372826{col 67}{space 3} -.043752
{txt}_Idistric~13 {c |}{col 14}{res}{space 2}-.3139369{col 26}{space 2} .0570348{col 37}{space 1}   -5.50{col 46}{space 3}0.000{col 54}{space 4}-.4257416{col 67}{space 3}-.2021322
{txt}_Idistric~14 {c |}{col 14}{res}{space 2}-.1482395{col 26}{space 2} .1360957{col 37}{space 1}   -1.09{col 46}{space 3}0.276{col 54}{space 4}-.4150267{col 67}{space 3} .1185477
{txt}_Idistric~15 {c |}{col 14}{res}{space 2} -.295615{col 26}{space 2} .0639493{col 37}{space 1}   -4.62{col 46}{space 3}0.000{col 54}{space 4}-.4209743{col 67}{space 3}-.1702557
{txt}_Idistric~16 {c |}{col 14}{res}{space 2} .0671049{col 26}{space 2}  .093997{col 37}{space 1}    0.71{col 46}{space 3}0.475{col 54}{space 4}-.1171566{col 67}{space 3} .2513663
{txt}{space 7}_cons {c |}{col 14}{res}{space 2}-.5265717{col 26}{space 2}  .050341{col 37}{space 1}  -10.46{col 46}{space 3}0.000{col 54}{space 4}-.6252546{col 67}{space 3}-.4278888
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

Parente-Santos Silva test for intra-cluster correlation
         Ho: No intra-cluster correlation

            T{col 17}=  {res} 4.192
{txt}         P>|T|  =  {res} 0.000
{txt}i.district{col 19}_Idistrict_1-16{col 39}(naturally coded; _Idistrict_1 omitted)
note: b_urate_z_d omitted because of collinearity
{res}
{txt}.3 Quantile regression
R-squared = {res}.22563869
{txt}Number of obs = {res}7288
{txt}Objective function = {res}.2250363

{txt}Standard errors adjusted for {res}187{txt} clusters in hc_id
{res}{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}   e_urate_z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2} .0326896{col 26}{space 2} .0247995{col 37}{space 1}    1.32{col 46}{space 3}0.187{col 54}{space 4}-.0159246{col 67}{space 3} .0813038
{txt}{space 3}b_urate_z {c |}{col 14}{res}{space 2} .3557887{col 26}{space 2} .0172998{col 37}{space 1}   20.57{col 46}{space 3}0.000{col 54}{space 4} .3218761{col 67}{space 3} .3897013
{txt}{space 1}b_urate_z_d {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 1}c_tfull_hc2 {c |}{col 14}{res}{space 2} .0065108{col 26}{space 2} .0414492{col 37}{space 1}    0.16{col 46}{space 3}0.875{col 54}{space 4}-.0747416{col 67}{space 3} .0877632
{txt}c_tfull_b_~l {c |}{col 14}{res}{space 2}-.0119979{col 26}{space 2} .0503598{col 37}{space 1}   -0.24{col 46}{space 3}0.812{col 54}{space 4}-.1107179{col 67}{space 3}  .086722
{txt}c_tfull_b_~s {c |}{col 14}{res}{space 2} .0554581{col 26}{space 2} .0591951{col 37}{space 1}    0.94{col 46}{space 3}0.349{col 54}{space 4}-.0605815{col 67}{space 3} .1714978
{txt}c_tfull_b_~d {c |}{col 14}{res}{space 2} .2521884{col 26}{space 2} .0530463{col 37}{space 1}    4.75{col 46}{space 3}0.000{col 54}{space 4} .1482021{col 67}{space 3} .3561747
{txt}c_tfull_ed~r {c |}{col 14}{res}{space 2}-.0071251{col 26}{space 2} .0031227{col 37}{space 1}   -2.28{col 46}{space 3}0.023{col 54}{space 4}-.0132465{col 67}{space 3}-.0010037
{txt}c_tfull_b_~x {c |}{col 14}{res}{space 2}-.0415803{col 26}{space 2} .0132318{col 37}{space 1}   -3.14{col 46}{space 3}0.002{col 54}{space 4}-.0675186{col 67}{space 3}-.0156421
{txt}c_trea~l_hc2 {c |}{col 14}{res}{space 2} .0151175{col 26}{space 2} .0574627{col 37}{space 1}    0.26{col 46}{space 3}0.792{col 54}{space 4}-.0975261{col 67}{space 3}  .127761
{txt}c_treatful.. {c |}{col 14}{res}{space 2} .0393974{col 26}{space 2} .0646881{col 37}{space 1}    0.61{col 46}{space 3}0.543{col 54}{space 4}-.0874102{col 67}{space 3} .1662049
{txt}c_treatful.. {c |}{col 14}{res}{space 2}-.0329035{col 26}{space 2}  .078288{col 37}{space 1}   -0.42{col 46}{space 3}0.674{col 54}{space 4}-.1863708{col 67}{space 3} .1205637
{txt}c_treatful.. {c |}{col 14}{res}{space 2}-.0861133{col 26}{space 2} .1042926{col 37}{space 1}   -0.83{col 46}{space 3}0.409{col 54}{space 4}-.2905572{col 67}{space 3} .1183305
{txt}c_treatful.. {c |}{col 14}{res}{space 2} -.000195{col 26}{space 2} .0050022{col 37}{space 1}   -0.04{col 46}{space 3}0.969{col 54}{space 4}-.0100007{col 67}{space 3} .0096108
{txt}c_treatful.. {c |}{col 14}{res}{space 2}-.0034988{col 26}{space 2} .0216191{col 37}{space 1}   -0.16{col 46}{space 3}0.871{col 54}{space 4}-.0458786{col 67}{space 3} .0388809
{txt}_Idistrict_2 {c |}{col 14}{res}{space 2} .1149902{col 26}{space 2} .0534195{col 37}{space 1}    2.15{col 46}{space 3}0.031{col 54}{space 4} .0102723{col 67}{space 3}  .219708
{txt}_Idistrict_3 {c |}{col 14}{res}{space 2}  .224476{col 26}{space 2} .0774013{col 37}{space 1}    2.90{col 46}{space 3}0.004{col 54}{space 4}  .072747{col 67}{space 3} .3762051
{txt}_Idistrict_4 {c |}{col 14}{res}{space 2}-.0255034{col 26}{space 2} .0566188{col 37}{space 1}   -0.45{col 46}{space 3}0.652{col 54}{space 4}-.1364927{col 67}{space 3} .0854858
{txt}_Idistrict_5 {c |}{col 14}{res}{space 2} .2131644{col 26}{space 2} .0618766{col 37}{space 1}    3.44{col 46}{space 3}0.001{col 54}{space 4} .0918682{col 67}{space 3} .3344606
{txt}_Idistrict_6 {c |}{col 14}{res}{space 2} .2514685{col 26}{space 2} .0597619{col 37}{space 1}    4.21{col 46}{space 3}0.000{col 54}{space 4} .1343178{col 67}{space 3} .3686193
{txt}_Idistrict_7 {c |}{col 14}{res}{space 2} .2054733{col 26}{space 2} .0610853{col 37}{space 1}    3.36{col 46}{space 3}0.001{col 54}{space 4} .0857283{col 67}{space 3} .3252184
{txt}_Idistrict_8 {c |}{col 14}{res}{space 2} .3010063{col 26}{space 2} .0665371{col 37}{space 1}    4.52{col 46}{space 3}0.000{col 54}{space 4} .1705741{col 67}{space 3} .4314385
{txt}_Idistrict_9 {c |}{col 14}{res}{space 2} .0892914{col 26}{space 2}  .141282{col 37}{space 1}    0.63{col 46}{space 3}0.527{col 54}{space 4}-.1876625{col 67}{space 3} .3662452
{txt}_Idistric~10 {c |}{col 14}{res}{space 2}-.1079867{col 26}{space 2} .0905154{col 37}{space 1}   -1.19{col 46}{space 3}0.233{col 54}{space 4}-.2854232{col 67}{space 3} .0694499
{txt}_Idistric~11 {c |}{col 14}{res}{space 2}-.0248841{col 26}{space 2} .0608835{col 37}{space 1}   -0.41{col 46}{space 3}0.683{col 54}{space 4}-.1442334{col 67}{space 3} .0944653
{txt}_Idistric~12 {c |}{col 14}{res}{space 2}-.1253816{col 26}{space 2} .0706505{col 37}{space 1}   -1.77{col 46}{space 3}0.076{col 54}{space 4}-.2638772{col 67}{space 3}  .013114
{txt}_Idistric~13 {c |}{col 14}{res}{space 2}-.2699726{col 26}{space 2} .0635646{col 37}{space 1}   -4.25{col 46}{space 3}0.000{col 54}{space 4}-.3945778{col 67}{space 3}-.1453674
{txt}_Idistric~14 {c |}{col 14}{res}{space 2}-.1074555{col 26}{space 2} .0942401{col 37}{space 1}   -1.14{col 46}{space 3}0.254{col 54}{space 4}-.2921935{col 67}{space 3} .0772825
{txt}_Idistric~15 {c |}{col 14}{res}{space 2} -.246568{col 26}{space 2} .0626475{col 37}{space 1}   -3.94{col 46}{space 3}0.000{col 54}{space 4}-.3693754{col 67}{space 3}-.1237607
{txt}_Idistric~16 {c |}{col 14}{res}{space 2} .0745663{col 26}{space 2} .0833641{col 37}{space 1}    0.89{col 46}{space 3}0.371{col 54}{space 4}-.0888516{col 67}{space 3} .2379842
{txt}{space 7}_cons {c |}{col 14}{res}{space 2}-.3624243{col 26}{space 2} .0479131{col 37}{space 1}   -7.56{col 46}{space 3}0.000{col 54}{space 4}-.4563479{col 67}{space 3}-.2685007
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

Parente-Santos Silva test for intra-cluster correlation
         Ho: No intra-cluster correlation

            T{col 17}=  {res} 4.865
{txt}         P>|T|  =  {res} 0.000
{txt}i.district{col 19}_Idistrict_1-16{col 39}(naturally coded; _Idistrict_1 omitted)
note: b_urate_z_d omitted because of collinearity
{res}
{txt}.4 Quantile regression
R-squared = {res}.22765599
{txt}Number of obs = {res}7288
{txt}Objective function = {res}.25025154

{txt}Standard errors adjusted for {res}187{txt} clusters in hc_id
{res}{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}   e_urate_z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2} .0299462{col 26}{space 2} .0264344{col 37}{space 1}    1.13{col 46}{space 3}0.257{col 54}{space 4} -.021873{col 67}{space 3} .0817653
{txt}{space 3}b_urate_z {c |}{col 14}{res}{space 2} .3539766{col 26}{space 2} .0183896{col 37}{space 1}   19.25{col 46}{space 3}0.000{col 54}{space 4} .3179277{col 67}{space 3} .3900255
{txt}{space 1}b_urate_z_d {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 1}c_tfull_hc2 {c |}{col 14}{res}{space 2} .0293751{col 26}{space 2} .0473249{col 37}{space 1}    0.62{col 46}{space 3}0.535{col 54}{space 4}-.0633955{col 67}{space 3} .1221457
{txt}c_tfull_b_~l {c |}{col 14}{res}{space 2} .0161097{col 26}{space 2} .0533483{col 37}{space 1}    0.30{col 46}{space 3}0.763{col 54}{space 4}-.0884684{col 67}{space 3} .1206878
{txt}c_tfull_b_~s {c |}{col 14}{res}{space 2} .0639491{col 26}{space 2} .0617732{col 37}{space 1}    1.04{col 46}{space 3}0.301{col 54}{space 4}-.0571444{col 67}{space 3} .1850426
{txt}c_tfull_b_~d {c |}{col 14}{res}{space 2} .2269544{col 26}{space 2} .0735179{col 37}{space 1}    3.09{col 46}{space 3}0.002{col 54}{space 4}  .082838{col 67}{space 3} .3710708
{txt}c_tfull_ed~r {c |}{col 14}{res}{space 2}-.0080665{col 26}{space 2}  .003804{col 37}{space 1}   -2.12{col 46}{space 3}0.034{col 54}{space 4}-.0155234{col 67}{space 3}-.0006096
{txt}c_tfull_b_~x {c |}{col 14}{res}{space 2} -.049156{col 26}{space 2} .0131131{col 37}{space 1}   -3.75{col 46}{space 3}0.000{col 54}{space 4}-.0748614{col 67}{space 3}-.0234505
{txt}c_trea~l_hc2 {c |}{col 14}{res}{space 2}-.0236011{col 26}{space 2} .0612192{col 37}{space 1}   -0.39{col 46}{space 3}0.700{col 54}{space 4}-.1436085{col 67}{space 3} .0964063
{txt}c_treatful.. {c |}{col 14}{res}{space 2} .0131518{col 26}{space 2} .0681827{col 37}{space 1}    0.19{col 46}{space 3}0.847{col 54}{space 4}-.1205061{col 67}{space 3} .1468097
{txt}c_treatful.. {c |}{col 14}{res}{space 2}-.0105204{col 26}{space 2} .0806599{col 37}{space 1}   -0.13{col 46}{space 3}0.896{col 54}{space 4}-.1686372{col 67}{space 3} .1475963
{txt}c_treatful.. {c |}{col 14}{res}{space 2}-.0781977{col 26}{space 2} .0877925{col 37}{space 1}   -0.89{col 46}{space 3}0.373{col 54}{space 4}-.2502966{col 67}{space 3} .0939012
{txt}c_treatful.. {c |}{col 14}{res}{space 2}-.0007976{col 26}{space 2} .0054697{col 37}{space 1}   -0.15{col 46}{space 3}0.884{col 54}{space 4}-.0115198{col 67}{space 3} .0099245
{txt}c_treatful.. {c |}{col 14}{res}{space 2}-.0010499{col 26}{space 2} .0229127{col 37}{space 1}   -0.05{col 46}{space 3}0.963{col 54}{space 4}-.0459655{col 67}{space 3} .0438657
{txt}_Idistrict_2 {c |}{col 14}{res}{space 2} .1189746{col 26}{space 2} .0626329{col 37}{space 1}    1.90{col 46}{space 3}0.058{col 54}{space 4} -.003804{col 67}{space 3} .2417533
{txt}_Idistrict_3 {c |}{col 14}{res}{space 2}  .257124{col 26}{space 2} .0734752{col 37}{space 1}    3.50{col 46}{space 3}0.000{col 54}{space 4} .1130912{col 67}{space 3} .4011568
{txt}_Idistrict_4 {c |}{col 14}{res}{space 2}-.0637137{col 26}{space 2} .0585411{col 37}{space 1}   -1.09{col 46}{space 3}0.276{col 54}{space 4}-.1784712{col 67}{space 3} .0510438
{txt}_Idistrict_5 {c |}{col 14}{res}{space 2} .2072815{col 26}{space 2} .0685457{col 37}{space 1}    3.02{col 46}{space 3}0.003{col 54}{space 4}  .072912{col 67}{space 3} .3416511
{txt}_Idistrict_6 {c |}{col 14}{res}{space 2} .2347328{col 26}{space 2} .0598962{col 37}{space 1}    3.92{col 46}{space 3}0.000{col 54}{space 4} .1173188{col 67}{space 3} .3521468
{txt}_Idistrict_7 {c |}{col 14}{res}{space 2} .2120579{col 26}{space 2} .0631933{col 37}{space 1}    3.36{col 46}{space 3}0.001{col 54}{space 4} .0881807{col 67}{space 3}  .335935
{txt}_Idistrict_8 {c |}{col 14}{res}{space 2} .3052551{col 26}{space 2} .0706872{col 37}{space 1}    4.32{col 46}{space 3}0.000{col 54}{space 4} .1666877{col 67}{space 3} .4438224
{txt}_Idistrict_9 {c |}{col 14}{res}{space 2} .1543591{col 26}{space 2} .1060306{col 37}{space 1}    1.46{col 46}{space 3}0.145{col 54}{space 4}-.0534918{col 67}{space 3}   .36221
{txt}_Idistric~10 {c |}{col 14}{res}{space 2}-.0743281{col 26}{space 2} .1205667{col 37}{space 1}   -0.62{col 46}{space 3}0.538{col 54}{space 4}-.3106739{col 67}{space 3} .1620176
{txt}_Idistric~11 {c |}{col 14}{res}{space 2} .0027329{col 26}{space 2} .0645967{col 37}{space 1}    0.04{col 46}{space 3}0.966{col 54}{space 4}-.1238954{col 67}{space 3} .1293612
{txt}_Idistric~12 {c |}{col 14}{res}{space 2}-.0534451{col 26}{space 2} .0727676{col 37}{space 1}   -0.73{col 46}{space 3}0.463{col 54}{space 4}-.1960907{col 67}{space 3} .0892005
{txt}_Idistric~13 {c |}{col 14}{res}{space 2}-.2092844{col 26}{space 2} .0774569{col 37}{space 1}   -2.70{col 46}{space 3}0.007{col 54}{space 4}-.3611225{col 67}{space 3}-.0574464
{txt}_Idistric~14 {c |}{col 14}{res}{space 2} .0107075{col 26}{space 2} .1370866{col 37}{space 1}    0.08{col 46}{space 3}0.938{col 54}{space 4} -.258022{col 67}{space 3} .2794371
{txt}_Idistric~15 {c |}{col 14}{res}{space 2}   -.1825{col 26}{space 2} .0746721{col 37}{space 1}   -2.44{col 46}{space 3}0.015{col 54}{space 4} -.328879{col 67}{space 3} -.036121
{txt}_Idistric~16 {c |}{col 14}{res}{space 2} .1373531{col 26}{space 2} .1073805{col 37}{space 1}    1.28{col 46}{space 3}0.201{col 54}{space 4}-.0731439{col 67}{space 3} .3478501
{txt}{space 7}_cons {c |}{col 14}{res}{space 2}-.2202766{col 26}{space 2} .0499031{col 37}{space 1}   -4.41{col 46}{space 3}0.000{col 54}{space 4}-.3181012{col 67}{space 3}-.1224521
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

Parente-Santos Silva test for intra-cluster correlation
         Ho: No intra-cluster correlation

            T{col 17}=  {res} 6.639
{txt}         P>|T|  =  {res} 0.000
{txt}i.district{col 19}_Idistrict_1-16{col 39}(naturally coded; _Idistrict_1 omitted)
note: b_urate_z_d omitted because of collinearity
{res}
{txt}Median regression
R-squared = {res}.22863161
{txt}Number of obs = {res}7288
{txt}Objective function = {res}.25872883

{txt}Standard errors adjusted for {res}187{txt} clusters in hc_id
{res}{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}   e_urate_z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2} .0203119{col 26}{space 2} .0254768{col 37}{space 1}    0.80{col 46}{space 3}0.425{col 54}{space 4}  -.02963{col 67}{space 3} .0702538
{txt}{space 3}b_urate_z {c |}{col 14}{res}{space 2} .3669871{col 26}{space 2} .0182444{col 37}{space 1}   20.12{col 46}{space 3}0.000{col 54}{space 4} .3312228{col 67}{space 3} .4027513
{txt}{space 1}b_urate_z_d {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 1}c_tfull_hc2 {c |}{col 14}{res}{space 2} .0205493{col 26}{space 2} .0530265{col 37}{space 1}    0.39{col 46}{space 3}0.698{col 54}{space 4} -.083398{col 67}{space 3} .1244967
{txt}c_tfull_b_~l {c |}{col 14}{res}{space 2} .0225364{col 26}{space 2} .0552411{col 37}{space 1}    0.41{col 46}{space 3}0.683{col 54}{space 4}-.0857522{col 67}{space 3} .1308251
{txt}c_tfull_b_~s {c |}{col 14}{res}{space 2} .0559498{col 26}{space 2} .0589225{col 37}{space 1}    0.95{col 46}{space 3}0.342{col 54}{space 4}-.0595555{col 67}{space 3} .1714552
{txt}c_tfull_b_~d {c |}{col 14}{res}{space 2} .1810002{col 26}{space 2} .0953173{col 37}{space 1}    1.90{col 46}{space 3}0.058{col 54}{space 4}-.0058494{col 67}{space 3} .3678499
{txt}c_tfull_ed~r {c |}{col 14}{res}{space 2}-.0107699{col 26}{space 2} .0037853{col 37}{space 1}   -2.85{col 46}{space 3}0.004{col 54}{space 4}-.0181902{col 67}{space 3}-.0033497
{txt}c_tfull_b_~x {c |}{col 14}{res}{space 2}-.0567567{col 26}{space 2} .0168004{col 37}{space 1}   -3.38{col 46}{space 3}0.001{col 54}{space 4}-.0896904{col 67}{space 3} -.023823
{txt}c_trea~l_hc2 {c |}{col 14}{res}{space 2}-.0071235{col 26}{space 2} .0613053{col 37}{space 1}   -0.12{col 46}{space 3}0.907{col 54}{space 4}-.1272996{col 67}{space 3} .1130527
{txt}c_treatful.. {c |}{col 14}{res}{space 2} .0107011{col 26}{space 2} .0663403{col 37}{space 1}    0.16{col 46}{space 3}0.872{col 54}{space 4}-.1193453{col 67}{space 3} .1407474
{txt}c_treatful.. {c |}{col 14}{res}{space 2} .0078673{col 26}{space 2} .0748674{col 37}{space 1}    0.11{col 46}{space 3}0.916{col 54}{space 4}-.1388946{col 67}{space 3} .1546292
{txt}c_treatful.. {c |}{col 14}{res}{space 2} .0010841{col 26}{space 2} .1104224{col 37}{space 1}    0.01{col 46}{space 3}0.992{col 54}{space 4}-.2153759{col 67}{space 3} .2175441
{txt}c_treatful.. {c |}{col 14}{res}{space 2} .0010163{col 26}{space 2} .0050723{col 37}{space 1}    0.20{col 46}{space 3}0.841{col 54}{space 4}-.0089269{col 67}{space 3} .0109595
{txt}c_treatful.. {c |}{col 14}{res}{space 2}-.0000832{col 26}{space 2} .0222232{col 37}{space 1}   -0.00{col 46}{space 3}0.997{col 54}{space 4}-.0436472{col 67}{space 3} .0434809
{txt}_Idistrict_2 {c |}{col 14}{res}{space 2} .0729881{col 26}{space 2} .0623917{col 37}{space 1}    1.17{col 46}{space 3}0.242{col 54}{space 4}-.0493177{col 67}{space 3} .1952939
{txt}_Idistrict_3 {c |}{col 14}{res}{space 2} .1994487{col 26}{space 2} .0566645{col 37}{space 1}    3.52{col 46}{space 3}0.000{col 54}{space 4} .0883697{col 67}{space 3} .3105277
{txt}_Idistrict_4 {c |}{col 14}{res}{space 2}-.1144162{col 26}{space 2} .0630485{col 37}{space 1}   -1.81{col 46}{space 3}0.070{col 54}{space 4}-.2380096{col 67}{space 3} .0091771
{txt}_Idistrict_5 {c |}{col 14}{res}{space 2} .1686395{col 26}{space 2} .0651242{col 37}{space 1}    2.59{col 46}{space 3}0.010{col 54}{space 4} .0409772{col 67}{space 3} .2963019
{txt}_Idistrict_6 {c |}{col 14}{res}{space 2} .2047179{col 26}{space 2} .0703037{col 37}{space 1}    2.91{col 46}{space 3}0.004{col 54}{space 4} .0669022{col 67}{space 3} .3425337
{txt}_Idistrict_7 {c |}{col 14}{res}{space 2} .1511013{col 26}{space 2} .0678672{col 37}{space 1}    2.23{col 46}{space 3}0.026{col 54}{space 4} .0180619{col 67}{space 3} .2841406
{txt}_Idistrict_8 {c |}{col 14}{res}{space 2} .2832204{col 26}{space 2} .0756693{col 37}{space 1}    3.74{col 46}{space 3}0.000{col 54}{space 4} .1348866{col 67}{space 3} .4315541
{txt}_Idistrict_9 {c |}{col 14}{res}{space 2} .0643642{col 26}{space 2} .0858654{col 37}{space 1}    0.75{col 46}{space 3}0.454{col 54}{space 4} -.103957{col 67}{space 3} .2326854
{txt}_Idistric~10 {c |}{col 14}{res}{space 2}-.0470534{col 26}{space 2} .1130883{col 37}{space 1}   -0.42{col 46}{space 3}0.677{col 54}{space 4}-.2687394{col 67}{space 3} .1746325
{txt}_Idistric~11 {c |}{col 14}{res}{space 2}-.0385521{col 26}{space 2} .0622418{col 37}{space 1}   -0.62{col 46}{space 3}0.536{col 54}{space 4}-.1605641{col 67}{space 3}   .08346
{txt}_Idistric~12 {c |}{col 14}{res}{space 2}-.0891883{col 26}{space 2} .0629092{col 37}{space 1}   -1.42{col 46}{space 3}0.156{col 54}{space 4}-.2125087{col 67}{space 3}  .034132
{txt}_Idistric~13 {c |}{col 14}{res}{space 2}-.1954817{col 26}{space 2} .0676907{col 37}{space 1}   -2.89{col 46}{space 3}0.004{col 54}{space 4}-.3281752{col 67}{space 3}-.0627881
{txt}_Idistric~14 {c |}{col 14}{res}{space 2} .0524983{col 26}{space 2} .1373432{col 37}{space 1}    0.38{col 46}{space 3}0.702{col 54}{space 4}-.2167343{col 67}{space 3} .3217309
{txt}_Idistric~15 {c |}{col 14}{res}{space 2}-.1961453{col 26}{space 2} .0664717{col 37}{space 1}   -2.95{col 46}{space 3}0.003{col 54}{space 4}-.3264492{col 67}{space 3}-.0658415
{txt}_Idistric~16 {c |}{col 14}{res}{space 2} .1313433{col 26}{space 2} .0957478{col 37}{space 1}    1.37{col 46}{space 3}0.170{col 54}{space 4}-.0563502{col 67}{space 3} .3190368
{txt}{space 7}_cons {c |}{col 14}{res}{space 2}-.0230063{col 26}{space 2} .0491638{col 37}{space 1}   -0.47{col 46}{space 3}0.640{col 54}{space 4}-.1193816{col 67}{space 3} .0733691
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

Parente-Santos Silva test for intra-cluster correlation
         Ho: No intra-cluster correlation

            T{col 17}=  {res} 6.551
{txt}         P>|T|  =  {res} 0.000
{txt}i.district{col 19}_Idistrict_1-16{col 39}(naturally coded; _Idistrict_1 omitted)
note: b_urate_z_d omitted because of collinearity
{res}
{txt}.6 Quantile regression
R-squared = {res}.2279353
{txt}Number of obs = {res}7288
{txt}Objective function = {res}.2517785

{txt}Standard errors adjusted for {res}187{txt} clusters in hc_id
{res}{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}   e_urate_z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2} .0074213{col 26}{space 2} .0241967{col 37}{space 1}    0.31{col 46}{space 3}0.759{col 54}{space 4}-.0400112{col 67}{space 3} .0548539
{txt}{space 3}b_urate_z {c |}{col 14}{res}{space 2} .3709424{col 26}{space 2}  .017448{col 37}{space 1}   21.26{col 46}{space 3}0.000{col 54}{space 4} .3367392{col 67}{space 3} .4051456
{txt}{space 1}b_urate_z_d {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 1}c_tfull_hc2 {c |}{col 14}{res}{space 2} .0385418{col 26}{space 2}  .044425{col 37}{space 1}    0.87{col 46}{space 3}0.386{col 54}{space 4}-.0485442{col 67}{space 3} .1256278
{txt}c_tfull_b_~l {c |}{col 14}{res}{space 2} .0239742{col 26}{space 2} .0489734{col 37}{space 1}    0.49{col 46}{space 3}0.624{col 54}{space 4} -.072028{col 67}{space 3} .1199764
{txt}c_tfull_b_~s {c |}{col 14}{res}{space 2} .0715719{col 26}{space 2} .0525271{col 37}{space 1}    1.36{col 46}{space 3}0.173{col 54}{space 4}-.0313964{col 67}{space 3} .1745402
{txt}c_tfull_b_~d {c |}{col 14}{res}{space 2} .2119775{col 26}{space 2} .0647261{col 37}{space 1}    3.27{col 46}{space 3}0.001{col 54}{space 4} .0850955{col 67}{space 3} .3388596
{txt}c_tfull_ed~r {c |}{col 14}{res}{space 2}-.0112355{col 26}{space 2} .0037512{col 37}{space 1}   -3.00{col 46}{space 3}0.003{col 54}{space 4} -.018589{col 67}{space 3} -.003882
{txt}c_tfull_b_~x {c |}{col 14}{res}{space 2}-.0514166{col 26}{space 2} .0156525{col 37}{space 1}   -3.28{col 46}{space 3}0.001{col 54}{space 4}   -.0821{col 67}{space 3}-.0207331
{txt}c_trea~l_hc2 {c |}{col 14}{res}{space 2}-.0333194{col 26}{space 2} .0563097{col 37}{space 1}   -0.59{col 46}{space 3}0.554{col 54}{space 4}-.1437028{col 67}{space 3} .0770641
{txt}c_treatful.. {c |}{col 14}{res}{space 2}-.0079043{col 26}{space 2} .0597874{col 37}{space 1}   -0.13{col 46}{space 3}0.895{col 54}{space 4} -.125105{col 67}{space 3} .1092963
{txt}c_treatful.. {c |}{col 14}{res}{space 2}-.0000293{col 26}{space 2} .0716275{col 37}{space 1}   -0.00{col 46}{space 3}1.000{col 54}{space 4}-.1404402{col 67}{space 3} .1403815
{txt}c_treatful.. {c |}{col 14}{res}{space 2} .0024402{col 26}{space 2} .0903632{col 37}{space 1}    0.03{col 46}{space 3}0.978{col 54}{space 4}-.1746979{col 67}{space 3} .1795784
{txt}c_treatful.. {c |}{col 14}{res}{space 2}-.0013662{col 26}{space 2} .0051903{col 37}{space 1}   -0.26{col 46}{space 3}0.792{col 54}{space 4}-.0115407{col 67}{space 3} .0088083
{txt}c_treatful.. {c |}{col 14}{res}{space 2}  .003338{col 26}{space 2} .0224126{col 37}{space 1}    0.15{col 46}{space 3}0.882{col 54}{space 4}-.0405973{col 67}{space 3} .0472733
{txt}_Idistrict_2 {c |}{col 14}{res}{space 2} .1020423{col 26}{space 2} .0606237{col 37}{space 1}    1.68{col 46}{space 3}0.092{col 54}{space 4}-.0167977{col 67}{space 3} .2208823
{txt}_Idistrict_3 {c |}{col 14}{res}{space 2} .1932269{col 26}{space 2} .0574194{col 37}{space 1}    3.37{col 46}{space 3}0.001{col 54}{space 4} .0806681{col 67}{space 3} .3057857
{txt}_Idistrict_4 {c |}{col 14}{res}{space 2}-.0695968{col 26}{space 2} .0584031{col 37}{space 1}   -1.19{col 46}{space 3}0.233{col 54}{space 4}-.1840838{col 67}{space 3} .0448902
{txt}_Idistrict_5 {c |}{col 14}{res}{space 2} .1951802{col 26}{space 2} .0610711{col 37}{space 1}    3.20{col 46}{space 3}0.001{col 54}{space 4} .0754631{col 67}{space 3} .3148973
{txt}_Idistrict_6 {c |}{col 14}{res}{space 2} .2262391{col 26}{space 2} .0557679{col 37}{space 1}    4.06{col 46}{space 3}0.000{col 54}{space 4} .1169179{col 67}{space 3} .3355604
{txt}_Idistrict_7 {c |}{col 14}{res}{space 2} .2060916{col 26}{space 2} .0758731{col 37}{space 1}    2.72{col 46}{space 3}0.007{col 54}{space 4} .0573583{col 67}{space 3} .3548249
{txt}_Idistrict_8 {c |}{col 14}{res}{space 2} .3197587{col 26}{space 2} .0589407{col 37}{space 1}    5.43{col 46}{space 3}0.000{col 54}{space 4} .2042178{col 67}{space 3} .4352995
{txt}_Idistrict_9 {c |}{col 14}{res}{space 2} .0854319{col 26}{space 2} .1049083{col 37}{space 1}    0.81{col 46}{space 3}0.415{col 54}{space 4}-.1202188{col 67}{space 3} .2910827
{txt}_Idistric~10 {c |}{col 14}{res}{space 2} .0618662{col 26}{space 2} .1917093{col 37}{space 1}    0.32{col 46}{space 3}0.747{col 54}{space 4}-.3139398{col 67}{space 3} .4376721
{txt}_Idistric~11 {c |}{col 14}{res}{space 2} .0104724{col 26}{space 2} .0569796{col 37}{space 1}    0.18{col 46}{space 3}0.854{col 54}{space 4}-.1012242{col 67}{space 3} .1221689
{txt}_Idistric~12 {c |}{col 14}{res}{space 2}-.0543991{col 26}{space 2} .0656852{col 37}{space 1}   -0.83{col 46}{space 3}0.408{col 54}{space 4}-.1831612{col 67}{space 3} .0743629
{txt}_Idistric~13 {c |}{col 14}{res}{space 2}-.1375624{col 26}{space 2} .0667701{col 37}{space 1}   -2.06{col 46}{space 3}0.039{col 54}{space 4}-.2684513{col 67}{space 3}-.0066736
{txt}_Idistric~14 {c |}{col 14}{res}{space 2} .1714933{col 26}{space 2} .1101429{col 37}{space 1}    1.56{col 46}{space 3}0.120{col 54}{space 4}-.0444188{col 67}{space 3} .3874055
{txt}_Idistric~15 {c |}{col 14}{res}{space 2} -.152222{col 26}{space 2} .0689224{col 37}{space 1}   -2.21{col 46}{space 3}0.027{col 54}{space 4}  -.28733{col 67}{space 3} -.017114
{txt}_Idistric~16 {c |}{col 14}{res}{space 2} .1960333{col 26}{space 2}  .088726{col 37}{space 1}    2.21{col 46}{space 3}0.027{col 54}{space 4} .0221046{col 67}{space 3} .3699621
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} .0918165{col 26}{space 2}  .047064{col 37}{space 1}    1.95{col 46}{space 3}0.051{col 54}{space 4}-.0004427{col 67}{space 3} .1840757
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

Parente-Santos Silva test for intra-cluster correlation
         Ho: No intra-cluster correlation

            T{col 17}=  {res} 7.008
{txt}         P>|T|  =  {res} 0.000
{txt}i.district{col 19}_Idistrict_1-16{col 39}(naturally coded; _Idistrict_1 omitted)
note: b_urate_z_d omitted because of collinearity
{res}
{txt}.7 Quantile regression
R-squared = {res}.22598555
{txt}Number of obs = {res}7288
{txt}Objective function = {res}.22881904

{txt}Standard errors adjusted for {res}187{txt} clusters in hc_id
{res}{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}   e_urate_z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2} .0076387{col 26}{space 2} .0249424{col 37}{space 1}    0.31{col 46}{space 3}0.759{col 54}{space 4}-.0412556{col 67}{space 3} .0565329
{txt}{space 3}b_urate_z {c |}{col 14}{res}{space 2} .3851755{col 26}{space 2} .0192582{col 37}{space 1}   20.00{col 46}{space 3}0.000{col 54}{space 4} .3474238{col 67}{space 3} .4229272
{txt}{space 1}b_urate_z_d {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 1}c_tfull_hc2 {c |}{col 14}{res}{space 2} .0566741{col 26}{space 2}  .048546{col 37}{space 1}    1.17{col 46}{space 3}0.243{col 54}{space 4}-.0384903{col 67}{space 3} .1518384
{txt}c_tfull_b_~l {c |}{col 14}{res}{space 2} .0545222{col 26}{space 2} .0535635{col 37}{space 1}    1.02{col 46}{space 3}0.309{col 54}{space 4}-.0504778{col 67}{space 3} .1595222
{txt}c_tfull_b_~s {c |}{col 14}{res}{space 2} .0543456{col 26}{space 2} .0557096{col 37}{space 1}    0.98{col 46}{space 3}0.329{col 54}{space 4}-.0548615{col 67}{space 3} .1635526
{txt}c_tfull_b_~d {c |}{col 14}{res}{space 2} .1754891{col 26}{space 2} .0793852{col 37}{space 1}    2.21{col 46}{space 3}0.027{col 54}{space 4}  .019871{col 67}{space 3} .3311072
{txt}c_tfull_ed~r {c |}{col 14}{res}{space 2}-.0142275{col 26}{space 2} .0042094{col 37}{space 1}   -3.38{col 46}{space 3}0.001{col 54}{space 4}-.0224792{col 67}{space 3}-.0059758
{txt}c_tfull_b_~x {c |}{col 14}{res}{space 2}-.0524689{col 26}{space 2} .0141927{col 37}{space 1}   -3.70{col 46}{space 3}0.000{col 54}{space 4}-.0802907{col 67}{space 3}-.0246472
{txt}c_trea~l_hc2 {c |}{col 14}{res}{space 2}-.0582029{col 26}{space 2} .0609573{col 37}{space 1}   -0.95{col 46}{space 3}0.340{col 54}{space 4} -.177697{col 67}{space 3} .0612912
{txt}c_treatful.. {c |}{col 14}{res}{space 2}-.0666847{col 26}{space 2} .0610927{col 37}{space 1}   -1.09{col 46}{space 3}0.275{col 54}{space 4}-.1864441{col 67}{space 3} .0530748
{txt}c_treatful.. {c |}{col 14}{res}{space 2} .0041019{col 26}{space 2} .0823057{col 37}{space 1}    0.05{col 46}{space 3}0.960{col 54}{space 4}-.1572412{col 67}{space 3}  .165445
{txt}c_treatful.. {c |}{col 14}{res}{space 2}  .038747{col 26}{space 2} .1112611{col 37}{space 1}    0.35{col 46}{space 3}0.728{col 54}{space 4}-.1793571{col 67}{space 3}  .256851
{txt}c_treatful.. {c |}{col 14}{res}{space 2} .0030847{col 26}{space 2} .0060125{col 37}{space 1}    0.51{col 46}{space 3}0.608{col 54}{space 4}-.0087016{col 67}{space 3}  .014871
{txt}c_treatful.. {c |}{col 14}{res}{space 2}-.0056234{col 26}{space 2} .0229427{col 37}{space 1}   -0.25{col 46}{space 3}0.806{col 54}{space 4}-.0505979{col 67}{space 3}  .039351
{txt}_Idistrict_2 {c |}{col 14}{res}{space 2}   .05869{col 26}{space 2} .0614644{col 37}{space 1}    0.95{col 46}{space 3}0.340{col 54}{space 4}-.0617981{col 67}{space 3}  .179178
{txt}_Idistrict_3 {c |}{col 14}{res}{space 2} .1525175{col 26}{space 2} .0693252{col 37}{space 1}    2.20{col 46}{space 3}0.028{col 54}{space 4}   .01662{col 67}{space 3}  .288415
{txt}_Idistrict_4 {c |}{col 14}{res}{space 2}-.0928107{col 26}{space 2}  .061173{col 37}{space 1}   -1.52{col 46}{space 3}0.129{col 54}{space 4}-.2127276{col 67}{space 3} .0271063
{txt}_Idistrict_5 {c |}{col 14}{res}{space 2} .1469096{col 26}{space 2} .0605423{col 37}{space 1}    2.43{col 46}{space 3}0.015{col 54}{space 4} .0282291{col 67}{space 3} .2655902
{txt}_Idistrict_6 {c |}{col 14}{res}{space 2} .1886994{col 26}{space 2} .0606284{col 37}{space 1}    3.11{col 46}{space 3}0.002{col 54}{space 4} .0698502{col 67}{space 3} .3075487
{txt}_Idistrict_7 {c |}{col 14}{res}{space 2} .1602011{col 26}{space 2} .0782676{col 37}{space 1}    2.05{col 46}{space 3}0.041{col 54}{space 4} .0067738{col 67}{space 3} .3136284
{txt}_Idistrict_8 {c |}{col 14}{res}{space 2} .2412747{col 26}{space 2} .0632853{col 37}{space 1}    3.81{col 46}{space 3}0.000{col 54}{space 4} .1172172{col 67}{space 3} .3653322
{txt}_Idistrict_9 {c |}{col 14}{res}{space 2} .1179851{col 26}{space 2} .0931503{col 37}{space 1}    1.27{col 46}{space 3}0.205{col 54}{space 4}-.0646166{col 67}{space 3} .3005869
{txt}_Idistric~10 {c |}{col 14}{res}{space 2} .1119214{col 26}{space 2} .1021807{col 37}{space 1}    1.10{col 46}{space 3}0.273{col 54}{space 4}-.0883825{col 67}{space 3} .3122253
{txt}_Idistric~11 {c |}{col 14}{res}{space 2}-.0185646{col 26}{space 2} .0542548{col 37}{space 1}   -0.34{col 46}{space 3}0.732{col 54}{space 4}-.1249198{col 67}{space 3} .0877905
{txt}_Idistric~12 {c |}{col 14}{res}{space 2}-.0405542{col 26}{space 2} .0735291{col 37}{space 1}   -0.55{col 46}{space 3}0.581{col 54}{space 4}-.1846926{col 67}{space 3} .1035841
{txt}_Idistric~13 {c |}{col 14}{res}{space 2}-.1342661{col 26}{space 2} .0660522{col 37}{space 1}   -2.03{col 46}{space 3}0.042{col 54}{space 4}-.2637476{col 67}{space 3}-.0047845
{txt}_Idistric~14 {c |}{col 14}{res}{space 2} .1616174{col 26}{space 2} .1083794{col 37}{space 1}    1.49{col 46}{space 3}0.136{col 54}{space 4}-.0508377{col 67}{space 3} .3740725
{txt}_Idistric~15 {c |}{col 14}{res}{space 2}-.1679543{col 26}{space 2}  .066607{col 37}{space 1}   -2.52{col 46}{space 3}0.012{col 54}{space 4}-.2985233{col 67}{space 3}-.0373852
{txt}_Idistric~16 {c |}{col 14}{res}{space 2} .1613948{col 26}{space 2} .1073291{col 37}{space 1}    1.50{col 46}{space 3}0.133{col 54}{space 4}-.0490014{col 67}{space 3} .3717909
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} .2869108{col 26}{space 2} .0467235{col 37}{space 1}    6.14{col 46}{space 3}0.000{col 54}{space 4} .1953191{col 67}{space 3} .3785025
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

Parente-Santos Silva test for intra-cluster correlation
         Ho: No intra-cluster correlation

            T{col 17}=  {res} 5.262
{txt}         P>|T|  =  {res} 0.000
{txt}i.district{col 19}_Idistrict_1-16{col 39}(naturally coded; _Idistrict_1 omitted)
note: b_urate_z_d omitted because of collinearity
{res}
{txt}.8 Quantile regression
R-squared = {res}.22301667
{txt}Number of obs = {res}7288
{txt}Objective function = {res}.18690104

{txt}Standard errors adjusted for {res}187{txt} clusters in hc_id
{res}{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}   e_urate_z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2} .0091087{col 26}{space 2} .0280391{col 37}{space 1}    0.32{col 46}{space 3}0.745{col 54}{space 4}-.0458562{col 67}{space 3} .0640735
{txt}{space 3}b_urate_z {c |}{col 14}{res}{space 2} .3755994{col 26}{space 2} .0239303{col 37}{space 1}   15.70{col 46}{space 3}0.000{col 54}{space 4}  .328689{col 67}{space 3} .4225097
{txt}{space 1}b_urate_z_d {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 1}c_tfull_hc2 {c |}{col 14}{res}{space 2} .0809792{col 26}{space 2} .0487596{col 37}{space 1}    1.66{col 46}{space 3}0.097{col 54}{space 4}-.0146038{col 67}{space 3} .1765622
{txt}c_tfull_b_~l {c |}{col 14}{res}{space 2}  .121962{col 26}{space 2} .0590881{col 37}{space 1}    2.06{col 46}{space 3}0.039{col 54}{space 4} .0061321{col 67}{space 3} .2377919
{txt}c_tfull_b_~s {c |}{col 14}{res}{space 2}-.0087457{col 26}{space 2} .0610248{col 37}{space 1}   -0.14{col 46}{space 3}0.886{col 54}{space 4}-.1283721{col 67}{space 3} .1108807
{txt}c_tfull_b_~d {c |}{col 14}{res}{space 2} .1359577{col 26}{space 2} .1078569{col 37}{space 1}    1.26{col 46}{space 3}0.208{col 54}{space 4}-.0754732{col 67}{space 3} .3473885
{txt}c_tfull_ed~r {c |}{col 14}{res}{space 2}-.0131302{col 26}{space 2} .0037634{col 37}{space 1}   -3.49{col 46}{space 3}0.000{col 54}{space 4}-.0205075{col 67}{space 3}-.0057529
{txt}c_tfull_b_~x {c |}{col 14}{res}{space 2} -.069488{col 26}{space 2} .0197611{col 37}{space 1}   -3.52{col 46}{space 3}0.000{col 54}{space 4}-.1082256{col 67}{space 3}-.0307504
{txt}c_trea~l_hc2 {c |}{col 14}{res}{space 2}-.1093194{col 26}{space 2} .0594059{col 37}{space 1}   -1.84{col 46}{space 3}0.066{col 54}{space 4}-.2257722{col 67}{space 3} .0071334
{txt}c_treatful.. {c |}{col 14}{res}{space 2}-.1163772{col 26}{space 2} .0680167{col 37}{space 1}   -1.71{col 46}{space 3}0.087{col 54}{space 4}-.2497097{col 67}{space 3} .0169552
{txt}c_treatful.. {c |}{col 14}{res}{space 2} .0275359{col 26}{space 2} .1066948{col 37}{space 1}    0.26{col 46}{space 3}0.796{col 54}{space 4}-.1816169{col 67}{space 3} .2366887
{txt}c_treatful.. {c |}{col 14}{res}{space 2} .0466702{col 26}{space 2}  .136713{col 37}{space 1}    0.34{col 46}{space 3}0.733{col 54}{space 4} -.221327{col 67}{space 3} .3146674
{txt}c_treatful.. {c |}{col 14}{res}{space 2}-.0050533{col 26}{space 2} .0055604{col 37}{space 1}   -0.91{col 46}{space 3}0.363{col 54}{space 4}-.0159533{col 67}{space 3} .0058467
{txt}c_treatful.. {c |}{col 14}{res}{space 2} .0115079{col 26}{space 2} .0277265{col 37}{space 1}    0.42{col 46}{space 3}0.678{col 54}{space 4}-.0428441{col 67}{space 3} .0658599
{txt}_Idistrict_2 {c |}{col 14}{res}{space 2}-.0097654{col 26}{space 2} .0662309{col 37}{space 1}   -0.15{col 46}{space 3}0.883{col 54}{space 4}-.1395973{col 67}{space 3} .1200665
{txt}_Idistrict_3 {c |}{col 14}{res}{space 2} .1059966{col 26}{space 2} .0639744{col 37}{space 1}    1.66{col 46}{space 3}0.098{col 54}{space 4} -.019412{col 67}{space 3} .2314051
{txt}_Idistrict_4 {c |}{col 14}{res}{space 2}-.1618693{col 26}{space 2} .0589093{col 37}{space 1}   -2.75{col 46}{space 3}0.006{col 54}{space 4}-.2773486{col 67}{space 3}  -.04639
{txt}_Idistrict_5 {c |}{col 14}{res}{space 2} .0169226{col 26}{space 2} .0611148{col 37}{space 1}    0.28{col 46}{space 3}0.782{col 54}{space 4}-.1028802{col 67}{space 3} .1367255
{txt}_Idistrict_6 {c |}{col 14}{res}{space 2}  .109743{col 26}{space 2} .0649979{col 37}{space 1}    1.69{col 46}{space 3}0.091{col 54}{space 4}-.0176717{col 67}{space 3} .2371577
{txt}_Idistrict_7 {c |}{col 14}{res}{space 2} .0744776{col 26}{space 2} .0666645{col 37}{space 1}    1.12{col 46}{space 3}0.264{col 54}{space 4}-.0562042{col 67}{space 3} .2051593
{txt}_Idistrict_8 {c |}{col 14}{res}{space 2} .2738227{col 26}{space 2} .0795809{col 37}{space 1}    3.44{col 46}{space 3}0.001{col 54}{space 4}  .117821{col 67}{space 3} .4298245
{txt}_Idistrict_9 {c |}{col 14}{res}{space 2}-.0086592{col 26}{space 2} .0778594{col 37}{space 1}   -0.11{col 46}{space 3}0.911{col 54}{space 4}-.1612862{col 67}{space 3} .1439678
{txt}_Idistric~10 {c |}{col 14}{res}{space 2} .0799361{col 26}{space 2}  .085605{col 37}{space 1}    0.93{col 46}{space 3}0.350{col 54}{space 4}-.0878745{col 67}{space 3} .2477468
{txt}_Idistric~11 {c |}{col 14}{res}{space 2}-.0711412{col 26}{space 2}   .05609{col 37}{space 1}   -1.27{col 46}{space 3}0.205{col 54}{space 4}-.1810938{col 67}{space 3} .0388115
{txt}_Idistric~12 {c |}{col 14}{res}{space 2}-.0980268{col 26}{space 2} .0661249{col 37}{space 1}   -1.48{col 46}{space 3}0.138{col 54}{space 4}-.2276509{col 67}{space 3} .0315973
{txt}_Idistric~13 {c |}{col 14}{res}{space 2}-.1595515{col 26}{space 2} .0554914{col 37}{space 1}   -2.88{col 46}{space 3}0.004{col 54}{space 4}-.2683308{col 67}{space 3}-.0507722
{txt}_Idistric~14 {c |}{col 14}{res}{space 2} .1165842{col 26}{space 2} .1218238{col 37}{space 1}    0.96{col 46}{space 3}0.339{col 54}{space 4}-.1222259{col 67}{space 3} .3553942
{txt}_Idistric~15 {c |}{col 14}{res}{space 2} -.218225{col 26}{space 2}  .066232{col 37}{space 1}   -3.29{col 46}{space 3}0.001{col 54}{space 4} -.348059{col 67}{space 3}-.0883909
{txt}_Idistric~16 {c |}{col 14}{res}{space 2} .2015184{col 26}{space 2} .1158146{col 37}{space 1}    1.74{col 46}{space 3}0.082{col 54}{space 4}-.0255119{col 67}{space 3} .4285488
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} .5460917{col 26}{space 2} .0434323{col 37}{space 1}   12.57{col 46}{space 3}0.000{col 54}{space 4} .4609518{col 67}{space 3} .6312316
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

Parente-Santos Silva test for intra-cluster correlation
         Ho: No intra-cluster correlation

            T{col 17}=  {res} 3.635
{txt}         P>|T|  =  {res} 0.000
{txt}i.district{col 19}_Idistrict_1-16{col 39}(naturally coded; _Idistrict_1 omitted)
note: b_urate_z_d omitted because of collinearity
{res}
{txt}.9 Quantile regression
R-squared = {res}.21925076
{txt}Number of obs = {res}7288
{txt}Objective function = {res}.11968862

{txt}Standard errors adjusted for {res}187{txt} clusters in hc_id
{res}{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}   e_urate_z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2}  .021775{col 26}{space 2} .0326648{col 37}{space 1}    0.67{col 46}{space 3}0.505{col 54}{space 4}-.0422576{col 67}{space 3} .0858076
{txt}{space 3}b_urate_z {c |}{col 14}{res}{space 2} .3842065{col 26}{space 2} .0277656{col 37}{space 1}   13.84{col 46}{space 3}0.000{col 54}{space 4} .3297779{col 67}{space 3} .4386352
{txt}{space 1}b_urate_z_d {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 1}c_tfull_hc2 {c |}{col 14}{res}{space 2}-.0045103{col 26}{space 2} .0664583{col 37}{space 1}   -0.07{col 46}{space 3}0.946{col 54}{space 4}-.1347879{col 67}{space 3} .1257673
{txt}c_tfull_b_~l {c |}{col 14}{res}{space 2} .1291024{col 26}{space 2} .0860359{col 37}{space 1}    1.50{col 46}{space 3}0.134{col 54}{space 4} -.039553{col 67}{space 3} .2977579
{txt}c_tfull_b_~s {c |}{col 14}{res}{space 2}-.0618474{col 26}{space 2} .0926203{col 37}{space 1}   -0.67{col 46}{space 3}0.504{col 54}{space 4}-.2434101{col 67}{space 3} .1197153
{txt}c_tfull_b_~d {c |}{col 14}{res}{space 2} .0785205{col 26}{space 2} .0710473{col 37}{space 1}    1.11{col 46}{space 3}0.269{col 54}{space 4}-.0607528{col 67}{space 3} .2177938
{txt}c_tfull_ed~r {c |}{col 14}{res}{space 2}-.0224325{col 26}{space 2} .0046161{col 37}{space 1}   -4.86{col 46}{space 3}0.000{col 54}{space 4}-.0314814{col 67}{space 3}-.0133835
{txt}c_tfull_b_~x {c |}{col 14}{res}{space 2}-.0544543{col 26}{space 2}  .021256{col 37}{space 1}   -2.56{col 46}{space 3}0.010{col 54}{space 4}-.0961222{col 67}{space 3}-.0127863
{txt}c_trea~l_hc2 {c |}{col 14}{res}{space 2}-.0602934{col 26}{space 2} .0801904{col 37}{space 1}   -0.75{col 46}{space 3}0.452{col 54}{space 4}  -.21749{col 67}{space 3} .0969031
{txt}c_treatful.. {c |}{col 14}{res}{space 2}-.1546659{col 26}{space 2} .0954056{col 37}{space 1}   -1.62{col 46}{space 3}0.105{col 54}{space 4}-.3416887{col 67}{space 3} .0323569
{txt}c_treatful.. {c |}{col 14}{res}{space 2} .0076873{col 26}{space 2} .1221795{col 37}{space 1}    0.06{col 46}{space 3}0.950{col 54}{space 4}  -.23182{col 67}{space 3} .2471945
{txt}c_treatful.. {c |}{col 14}{res}{space 2}-.0717096{col 26}{space 2}  .109548{col 37}{space 1}   -0.65{col 46}{space 3}0.513{col 54}{space 4}-.2864555{col 67}{space 3} .1430363
{txt}c_treatful.. {c |}{col 14}{res}{space 2} .0026126{col 26}{space 2} .0068031{col 37}{space 1}    0.38{col 46}{space 3}0.701{col 54}{space 4}-.0107235{col 67}{space 3} .0159487
{txt}c_treatful.. {c |}{col 14}{res}{space 2} .0070113{col 26}{space 2} .0329083{col 37}{space 1}    0.21{col 46}{space 3}0.831{col 54}{space 4}-.0574985{col 67}{space 3} .0715212
{txt}_Idistrict_2 {c |}{col 14}{res}{space 2} .0703043{col 26}{space 2} .0797649{col 37}{space 1}    0.88{col 46}{space 3}0.378{col 54}{space 4}-.0860582{col 67}{space 3} .2266668
{txt}_Idistrict_3 {c |}{col 14}{res}{space 2} .1506444{col 26}{space 2}  .077847{col 37}{space 1}    1.94{col 46}{space 3}0.053{col 54}{space 4}-.0019584{col 67}{space 3} .3032472
{txt}_Idistrict_4 {c |}{col 14}{res}{space 2} -.025864{col 26}{space 2} .0822935{col 37}{space 1}   -0.31{col 46}{space 3}0.753{col 54}{space 4}-.1871831{col 67}{space 3} .1354552
{txt}_Idistrict_5 {c |}{col 14}{res}{space 2} .1382405{col 26}{space 2} .0804372{col 37}{space 1}    1.72{col 46}{space 3}0.086{col 54}{space 4}-.0194398{col 67}{space 3} .2959208
{txt}_Idistrict_6 {c |}{col 14}{res}{space 2} .1368631{col 26}{space 2} .0528939{col 37}{space 1}    2.59{col 46}{space 3}0.010{col 54}{space 4} .0331757{col 67}{space 3} .2405506
{txt}_Idistrict_7 {c |}{col 14}{res}{space 2}   .15245{col 26}{space 2} .0747699{col 37}{space 1}    2.04{col 46}{space 3}0.041{col 54}{space 4} .0058792{col 67}{space 3} .2990207
{txt}_Idistrict_8 {c |}{col 14}{res}{space 2} .3943918{col 26}{space 2} .0703168{col 37}{space 1}    5.61{col 46}{space 3}0.000{col 54}{space 4} .2565504{col 67}{space 3} .5322332
{txt}_Idistrict_9 {c |}{col 14}{res}{space 2}-.0168163{col 26}{space 2} .0516669{col 37}{space 1}   -0.33{col 46}{space 3}0.745{col 54}{space 4}-.1180984{col 67}{space 3} .0844658
{txt}_Idistric~10 {c |}{col 14}{res}{space 2} .1083029{col 26}{space 2} .0736548{col 37}{space 1}    1.47{col 46}{space 3}0.141{col 54}{space 4}-.0360819{col 67}{space 3} .2526876
{txt}_Idistric~11 {c |}{col 14}{res}{space 2}-.0319032{col 26}{space 2} .0838167{col 37}{space 1}   -0.38{col 46}{space 3}0.703{col 54}{space 4}-.1962084{col 67}{space 3}  .132402
{txt}_Idistric~12 {c |}{col 14}{res}{space 2}-.0728222{col 26}{space 2} .0737775{col 37}{space 1}   -0.99{col 46}{space 3}0.324{col 54}{space 4}-.2174476{col 67}{space 3} .0718032
{txt}_Idistric~13 {c |}{col 14}{res}{space 2}-.1330683{col 26}{space 2} .0630344{col 37}{space 1}   -2.11{col 46}{space 3}0.035{col 54}{space 4}-.2566341{col 67}{space 3}-.0095025
{txt}_Idistric~14 {c |}{col 14}{res}{space 2} .1697098{col 26}{space 2} .1611687{col 37}{space 1}    1.05{col 46}{space 3}0.292{col 54}{space 4}-.1462277{col 67}{space 3} .4856473
{txt}_Idistric~15 {c |}{col 14}{res}{space 2}-.2025704{col 26}{space 2}  .072735{col 37}{space 1}   -2.79{col 46}{space 3}0.005{col 54}{space 4}-.3451522{col 67}{space 3}-.0599886
{txt}_Idistric~16 {c |}{col 14}{res}{space 2} .2723795{col 26}{space 2} .1071588{col 37}{space 1}    2.54{col 46}{space 3}0.011{col 54}{space 4} .0623171{col 67}{space 3} .4824418
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} .7879449{col 26}{space 2} .0470812{col 37}{space 1}   16.74{col 46}{space 3}0.000{col 54}{space 4}  .695652{col 67}{space 3} .8802378
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

Parente-Santos Silva test for intra-cluster correlation
         Ho: No intra-cluster correlation

            T{col 17}=  {res} 1.173
{txt}         P>|T|  =  {res} 0.241
{txt}note: b_treatqual_z_d omitted because of collinearity
{res}
{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}     7,288
{txt}{col 49}F({res}  14{txt},{res}    186{txt}){col 67}= {res}      4.28
{txt}{col 49}Prob > F{col 67}= {res}    0.0000
{txt}{col 49}R-squared{col 67}= {res}    0.1023
{txt}{col 49}Adj R-squared{col 67}= {res}    0.0988
{txt}{col 49}Root MSE{col 67}= {res}    0.3514

{txt}{ralign 78:(Std. Err. adjusted for {res:187} clusters in hc_id)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}e_treatq~l_z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2}  .069785{col 26}{space 2} .0260197{col 37}{space 1}    2.68{col 46}{space 3}0.008{col 54}{space 4} .0184532{col 67}{space 3} .1211167
{txt}b_treatq~l_z {c |}{col 14}{res}{space 2} .1020516{col 26}{space 2} .0203832{col 37}{space 1}    5.01{col 46}{space 3}0.000{col 54}{space 4} .0618396{col 67}{space 3} .1422636
{txt}b_trea~l_z_d {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 1}c_tfull_hc2 {c |}{col 14}{res}{space 2}-.0711925{col 26}{space 2} .0533025{col 37}{space 1}   -1.34{col 46}{space 3}0.183{col 54}{space 4}-.1763477{col 67}{space 3} .0339628
{txt}c_tfull_b_~l {c |}{col 14}{res}{space 2}-.0176246{col 26}{space 2} .0573484{col 37}{space 1}   -0.31{col 46}{space 3}0.759{col 54}{space 4}-.1307615{col 67}{space 3} .0955122
{txt}c_tfull_b_~s {c |}{col 14}{res}{space 2} .0773901{col 26}{space 2} .0576711{col 37}{space 1}    1.34{col 46}{space 3}0.181{col 54}{space 4}-.0363835{col 67}{space 3} .1911637
{txt}c_tfull_b_~d {c |}{col 14}{res}{space 2} .0075521{col 26}{space 2} .0235787{col 37}{space 1}    0.32{col 46}{space 3}0.749{col 54}{space 4}-.0389639{col 67}{space 3} .0540681
{txt}c_tfull_ed~r {c |}{col 14}{res}{space 2}-.0030166{col 26}{space 2} .0016109{col 37}{space 1}   -1.87{col 46}{space 3}0.063{col 54}{space 4}-.0061945{col 67}{space 3} .0001614
{txt}c_tfull_b_~x {c |}{col 14}{res}{space 2}-.0028945{col 26}{space 2} .0082814{col 37}{space 1}   -0.35{col 46}{space 3}0.727{col 54}{space 4} -.019232{col 67}{space 3}  .013443
{txt}c_trea~l_hc2 {c |}{col 14}{res}{space 2} .0622374{col 26}{space 2} .0665857{col 37}{space 1}    0.93{col 46}{space 3}0.351{col 54}{space 4} -.069123{col 67}{space 3} .1935977
{txt}c_treatful.. {c |}{col 14}{res}{space 2} .0747815{col 26}{space 2} .0673432{col 37}{space 1}    1.11{col 46}{space 3}0.268{col 54}{space 4}-.0580732{col 67}{space 3} .2076362
{txt}c_treatful.. {c |}{col 14}{res}{space 2}-.1068973{col 26}{space 2} .0730561{col 37}{space 1}   -1.46{col 46}{space 3}0.145{col 54}{space 4}-.2510224{col 67}{space 3} .0372278
{txt}c_treatful.. {c |}{col 14}{res}{space 2} .0462437{col 26}{space 2} .0326817{col 37}{space 1}    1.41{col 46}{space 3}0.159{col 54}{space 4}-.0182307{col 67}{space 3} .1107182
{txt}c_treatful.. {c |}{col 14}{res}{space 2} .0025569{col 26}{space 2} .0022228{col 37}{space 1}    1.15{col 46}{space 3}0.252{col 54}{space 4}-.0018283{col 67}{space 3} .0069421
{txt}c_treatful.. {c |}{col 14}{res}{space 2}-.0181358{col 26}{space 2} .0129051{col 37}{space 1}   -1.41{col 46}{space 3}0.162{col 54}{space 4}-.0435951{col 67}{space 3} .0073235
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} .0003386{col 26}{space 2} .0200495{col 37}{space 1}    0.02{col 46}{space 3}0.987{col 54}{space 4}-.0392151{col 67}{space 3} .0398923
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)
i.district{col 19}_Idistrict_1-16{col 39}(naturally coded; _Idistrict_1 omitted)
note: b_treatqual_z_d omitted because of collinearity
{res}
{txt}.1 Quantile regression
R-squared = {res}.07123928
{txt}Number of obs = {res}7288
{txt}Objective function = {res}.06978019

{txt}Standard errors adjusted for {res}187{txt} clusters in hc_id
{res}{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}e_treatq~l_z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2} .1156167{col 26}{space 2} .0343992{col 37}{space 1}    3.36{col 46}{space 3}0.001{col 54}{space 4} .0481843{col 67}{space 3}  .183049
{txt}b_treatq~l_z {c |}{col 14}{res}{space 2} .1316835{col 26}{space 2} .0395661{col 37}{space 1}    3.33{col 46}{space 3}0.001{col 54}{space 4} .0541224{col 67}{space 3} .2092445
{txt}b_trea~l_z_d {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 1}c_tfull_hc2 {c |}{col 14}{res}{space 2} -.088312{col 26}{space 2}  .069342{col 37}{space 1}   -1.27{col 46}{space 3}0.203{col 54}{space 4}-.2242425{col 67}{space 3} .0476185
{txt}c_tfull_b_~l {c |}{col 14}{res}{space 2}-.0152415{col 26}{space 2}  .085925{col 37}{space 1}   -0.18{col 46}{space 3}0.859{col 54}{space 4}-.1836794{col 67}{space 3} .1531965
{txt}c_tfull_b_~s {c |}{col 14}{res}{space 2} .0610152{col 26}{space 2} .0947204{col 37}{space 1}    0.64{col 46}{space 3}0.519{col 54}{space 4}-.1246643{col 67}{space 3} .2466947
{txt}c_tfull_b_~d {c |}{col 14}{res}{space 2}-.1424303{col 26}{space 2} .0664913{col 37}{space 1}   -2.14{col 46}{space 3}0.032{col 54}{space 4}-.2727725{col 67}{space 3}-.0120881
{txt}c_tfull_ed~r {c |}{col 14}{res}{space 2}-.0046745{col 26}{space 2} .0046491{col 37}{space 1}   -1.01{col 46}{space 3}0.315{col 54}{space 4}-.0137881{col 67}{space 3} .0044391
{txt}c_tfull_b_~x {c |}{col 14}{res}{space 2}-.0121943{col 26}{space 2} .0210954{col 37}{space 1}   -0.58{col 46}{space 3}0.563{col 54}{space 4}-.0535474{col 67}{space 3} .0291588
{txt}c_trea~l_hc2 {c |}{col 14}{res}{space 2} .0669775{col 26}{space 2} .0860294{col 37}{space 1}    0.78{col 46}{space 3}0.436{col 54}{space 4}-.1016651{col 67}{space 3} .2356201
{txt}c_treatful.. {c |}{col 14}{res}{space 2} .0527413{col 26}{space 2} .0904997{col 37}{space 1}    0.58{col 46}{space 3}0.560{col 54}{space 4}-.1246644{col 67}{space 3} .2301471
{txt}c_treatful.. {c |}{col 14}{res}{space 2}-.1074743{col 26}{space 2} .1108287{col 37}{space 1}   -0.97{col 46}{space 3}0.332{col 54}{space 4}-.3247307{col 67}{space 3} .1097821
{txt}c_treatful.. {c |}{col 14}{res}{space 2} .1258788{col 26}{space 2} .0902761{col 37}{space 1}    1.39{col 46}{space 3}0.163{col 54}{space 4}-.0510887{col 67}{space 3} .3028463
{txt}c_treatful.. {c |}{col 14}{res}{space 2} .0034515{col 26}{space 2} .0058888{col 37}{space 1}    0.59{col 46}{space 3}0.558{col 54}{space 4}-.0080923{col 67}{space 3} .0149952
{txt}c_treatful.. {c |}{col 14}{res}{space 2}-.0083327{col 26}{space 2} .0268227{col 37}{space 1}   -0.31{col 46}{space 3}0.756{col 54}{space 4}-.0609131{col 67}{space 3} .0442476
{txt}_Idistrict_2 {c |}{col 14}{res}{space 2} .1281107{col 26}{space 2} .1218733{col 37}{space 1}    1.05{col 46}{space 3}0.293{col 54}{space 4}-.1107964{col 67}{space 3} .3670178
{txt}_Idistrict_3 {c |}{col 14}{res}{space 2} .0014315{col 26}{space 2} .1123876{col 37}{space 1}    0.01{col 46}{space 3}0.990{col 54}{space 4}-.2188809{col 67}{space 3} .2217439
{txt}_Idistrict_4 {c |}{col 14}{res}{space 2} .1054648{col 26}{space 2} .1307355{col 37}{space 1}    0.81{col 46}{space 3}0.420{col 54}{space 4}-.1508148{col 67}{space 3} .3617443
{txt}_Idistrict_5 {c |}{col 14}{res}{space 2} .1413741{col 26}{space 2} .1339745{col 37}{space 1}    1.06{col 46}{space 3}0.291{col 54}{space 4}-.1212549{col 67}{space 3} .4040031
{txt}_Idistrict_6 {c |}{col 14}{res}{space 2} .3196068{col 26}{space 2} .1426828{col 37}{space 1}    2.24{col 46}{space 3}0.025{col 54}{space 4} .0399071{col 67}{space 3} .5993065
{txt}_Idistrict_7 {c |}{col 14}{res}{space 2} .1513452{col 26}{space 2} .1331878{col 37}{space 1}    1.14{col 46}{space 3}0.256{col 54}{space 4}-.1097417{col 67}{space 3} .4124321
{txt}_Idistrict_8 {c |}{col 14}{res}{space 2} .6086591{col 26}{space 2} .1098339{col 37}{space 1}    5.54{col 46}{space 3}0.000{col 54}{space 4} .3933526{col 67}{space 3} .8239656
{txt}_Idistrict_9 {c |}{col 14}{res}{space 2} .1502248{col 26}{space 2} .1991776{col 37}{space 1}    0.75{col 46}{space 3}0.451{col 54}{space 4}-.2402212{col 67}{space 3} .5406708
{txt}_Idistric~10 {c |}{col 14}{res}{space 2} .0613995{col 26}{space 2} .1321842{col 37}{space 1}    0.46{col 46}{space 3}0.642{col 54}{space 4}-.1977199{col 67}{space 3}  .320519
{txt}_Idistric~11 {c |}{col 14}{res}{space 2} .2696594{col 26}{space 2} .1167545{col 37}{space 1}    2.31{col 46}{space 3}0.021{col 54}{space 4} .0407867{col 67}{space 3} .4985321
{txt}_Idistric~12 {c |}{col 14}{res}{space 2} .2162573{col 26}{space 2} .1147548{col 37}{space 1}    1.88{col 46}{space 3}0.060{col 54}{space 4}-.0086953{col 67}{space 3}   .44121
{txt}_Idistric~13 {c |}{col 14}{res}{space 2} .3407285{col 26}{space 2} .1249266{col 37}{space 1}    2.73{col 46}{space 3}0.006{col 54}{space 4} .0958359{col 67}{space 3}  .585621
{txt}_Idistric~14 {c |}{col 14}{res}{space 2} .2047768{col 26}{space 2}  .130814{col 37}{space 1}    1.57{col 46}{space 3}0.118{col 54}{space 4}-.0516566{col 67}{space 3} .4612103
{txt}_Idistric~15 {c |}{col 14}{res}{space 2} .2296674{col 26}{space 2} .1262545{col 37}{space 1}    1.82{col 46}{space 3}0.069{col 54}{space 4}-.0178281{col 67}{space 3} .4771628
{txt}_Idistric~16 {c |}{col 14}{res}{space 2} .3291892{col 26}{space 2}   .18386{col 37}{space 1}    1.79{col 46}{space 3}0.073{col 54}{space 4}-.0312298{col 67}{space 3} .6896082
{txt}{space 7}_cons {c |}{col 14}{res}{space 2}-.6911919{col 26}{space 2} .1102121{col 37}{space 1}   -6.27{col 46}{space 3}0.000{col 54}{space 4}-.9072396{col 67}{space 3}-.4751441
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

Parente-Santos Silva test for intra-cluster correlation
         Ho: No intra-cluster correlation

            T{col 17}=  {res}20.051
{txt}         P>|T|  =  {res} 0.000
{txt}i.district{col 19}_Idistrict_1-16{col 39}(naturally coded; _Idistrict_1 omitted)
note: b_treatqual_z_d omitted because of collinearity
{res}
{txt}.2 Quantile regression
R-squared = {res}.08422645
{txt}Number of obs = {res}7288
{txt}Objective function = {res}.1048731

{txt}Standard errors adjusted for {res}187{txt} clusters in hc_id
{res}{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}e_treatq~l_z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2} .0893561{col 26}{space 2}  .039136{col 37}{space 1}    2.28{col 46}{space 3}0.022{col 54}{space 4} .0126381{col 67}{space 3} .1660741
{txt}b_treatq~l_z {c |}{col 14}{res}{space 2} .1098706{col 26}{space 2} .0366438{col 37}{space 1}    3.00{col 46}{space 3}0.003{col 54}{space 4} .0380381{col 67}{space 3} .1817031
{txt}b_trea~l_z_d {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 1}c_tfull_hc2 {c |}{col 14}{res}{space 2}-.1187769{col 26}{space 2} .0741825{col 37}{space 1}   -1.60{col 46}{space 3}0.109{col 54}{space 4}-.2641962{col 67}{space 3} .0266425
{txt}c_tfull_b_~l {c |}{col 14}{res}{space 2} -.069815{col 26}{space 2} .0935433{col 37}{space 1}   -0.75{col 46}{space 3}0.455{col 54}{space 4} -.253187{col 67}{space 3} .1135571
{txt}c_tfull_b_~s {c |}{col 14}{res}{space 2} .1098188{col 26}{space 2} .0721585{col 37}{space 1}    1.52{col 46}{space 3}0.128{col 54}{space 4}-.0316328{col 67}{space 3} .2512703
{txt}c_tfull_b_~d {c |}{col 14}{res}{space 2}-.0892577{col 26}{space 2} .0381465{col 37}{space 1}   -2.34{col 46}{space 3}0.019{col 54}{space 4}-.1640359{col 67}{space 3}-.0144795
{txt}c_tfull_ed~r {c |}{col 14}{res}{space 2} -.001919{col 26}{space 2}  .003302{col 37}{space 1}   -0.58{col 46}{space 3}0.561{col 54}{space 4} -.008392{col 67}{space 3} .0045539
{txt}c_tfull_b_~x {c |}{col 14}{res}{space 2} .0027494{col 26}{space 2} .0104269{col 37}{space 1}    0.26{col 46}{space 3}0.792{col 54}{space 4}-.0176904{col 67}{space 3} .0231891
{txt}c_trea~l_hc2 {c |}{col 14}{res}{space 2} .1068364{col 26}{space 2} .1004921{col 37}{space 1}    1.06{col 46}{space 3}0.288{col 54}{space 4}-.0901575{col 67}{space 3} .3038302
{txt}c_treatful.. {c |}{col 14}{res}{space 2} .1028073{col 26}{space 2} .1126463{col 37}{space 1}    0.91{col 46}{space 3}0.361{col 54}{space 4}-.1180122{col 67}{space 3} .3236268
{txt}c_treatful.. {c |}{col 14}{res}{space 2}-.1767496{col 26}{space 2} .1080958{col 37}{space 1}   -1.64{col 46}{space 3}0.102{col 54}{space 4}-.3886488{col 67}{space 3} .0351495
{txt}c_treatful.. {c |}{col 14}{res}{space 2} .0891986{col 26}{space 2} .0485064{col 37}{space 1}    1.84{col 46}{space 3}0.066{col 54}{space 4}-.0058879{col 67}{space 3} .1842852
{txt}c_treatful.. {c |}{col 14}{res}{space 2} .0023307{col 26}{space 2} .0045176{col 37}{space 1}    0.52{col 46}{space 3}0.606{col 54}{space 4}-.0065251{col 67}{space 3} .0111864
{txt}c_treatful.. {c |}{col 14}{res}{space 2}-.0212925{col 26}{space 2} .0164575{col 37}{space 1}   -1.29{col 46}{space 3}0.196{col 54}{space 4}-.0535539{col 67}{space 3} .0109689
{txt}_Idistrict_2 {c |}{col 14}{res}{space 2}     .202{col 26}{space 2} .1105727{col 37}{space 1}    1.83{col 46}{space 3}0.068{col 54}{space 4}-.0147547{col 67}{space 3} .4187546
{txt}_Idistrict_3 {c |}{col 14}{res}{space 2} .0273603{col 26}{space 2} .1069263{col 37}{space 1}    0.26{col 46}{space 3}0.798{col 54}{space 4}-.1822464{col 67}{space 3} .2369669
{txt}_Idistrict_4 {c |}{col 14}{res}{space 2} .2182602{col 26}{space 2} .1219791{col 37}{space 1}    1.79{col 46}{space 3}0.074{col 54}{space 4}-.0208542{col 67}{space 3} .4573747
{txt}_Idistrict_5 {c |}{col 14}{res}{space 2}  .248612{col 26}{space 2} .1238945{col 37}{space 1}    2.01{col 46}{space 3}0.045{col 54}{space 4} .0057427{col 67}{space 3} .4914812
{txt}_Idistrict_6 {c |}{col 14}{res}{space 2} .3199104{col 26}{space 2} .1151069{col 37}{space 1}    2.78{col 46}{space 3}0.005{col 54}{space 4} .0942673{col 67}{space 3} .5455535
{txt}_Idistrict_7 {c |}{col 14}{res}{space 2} .1873947{col 26}{space 2} .1253731{col 37}{space 1}    1.49{col 46}{space 3}0.135{col 54}{space 4}-.0583731{col 67}{space 3} .4331625
{txt}_Idistrict_8 {c |}{col 14}{res}{space 2} .5734323{col 26}{space 2} .1001833{col 37}{space 1}    5.72{col 46}{space 3}0.000{col 54}{space 4} .3770439{col 67}{space 3} .7698207
{txt}_Idistrict_9 {c |}{col 14}{res}{space 2} .1953863{col 26}{space 2} .1760527{col 37}{space 1}    1.11{col 46}{space 3}0.267{col 54}{space 4}-.1497281{col 67}{space 3} .5405008
{txt}_Idistric~10 {c |}{col 14}{res}{space 2} .0779887{col 26}{space 2} .0952648{col 37}{space 1}    0.82{col 46}{space 3}0.413{col 54}{space 4} -.108758{col 67}{space 3} .2647354
{txt}_Idistric~11 {c |}{col 14}{res}{space 2} .2160375{col 26}{space 2} .0973207{col 37}{space 1}    2.22{col 46}{space 3}0.026{col 54}{space 4} .0252606{col 67}{space 3} .4068144
{txt}_Idistric~12 {c |}{col 14}{res}{space 2} .1816649{col 26}{space 2} .1036201{col 37}{space 1}    1.75{col 46}{space 3}0.080{col 54}{space 4}-.0214606{col 67}{space 3} .3847904
{txt}_Idistric~13 {c |}{col 14}{res}{space 2} .3184108{col 26}{space 2} .1073714{col 37}{space 1}    2.97{col 46}{space 3}0.003{col 54}{space 4} .1079317{col 67}{space 3} .5288899
{txt}_Idistric~14 {c |}{col 14}{res}{space 2} .1570128{col 26}{space 2} .1494543{col 37}{space 1}    1.05{col 46}{space 3}0.293{col 54}{space 4}-.1359612{col 67}{space 3} .4499868
{txt}_Idistric~15 {c |}{col 14}{res}{space 2} .2199866{col 26}{space 2} .0983139{col 37}{space 1}    2.24{col 46}{space 3}0.025{col 54}{space 4} .0272628{col 67}{space 3} .4127104
{txt}_Idistric~16 {c |}{col 14}{res}{space 2} .3519299{col 26}{space 2} .1036795{col 37}{space 1}    3.39{col 46}{space 3}0.001{col 54}{space 4}  .148688{col 67}{space 3} .5551719
{txt}{space 7}_cons {c |}{col 14}{res}{space 2}-.4962176{col 26}{space 2} .0880383{col 37}{space 1}   -5.64{col 46}{space 3}0.000{col 54}{space 4}-.6687982{col 67}{space 3}-.3236369
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

Parente-Santos Silva test for intra-cluster correlation
         Ho: No intra-cluster correlation

            T{col 17}=  {res}42.618
{txt}         P>|T|  =  {res} 0.000
{txt}i.district{col 19}_Idistrict_1-16{col 39}(naturally coded; _Idistrict_1 omitted)
note: b_treatqual_z_d omitted because of collinearity
{res}
{txt}.3 Quantile regression
R-squared = {res}.09543208
{txt}Number of obs = {res}7288
{txt}Objective function = {res}.12348593

{txt}Standard errors adjusted for {res}187{txt} clusters in hc_id
{res}{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}e_treatq~l_z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2} .0715775{col 26}{space 2} .0352419{col 37}{space 1}    2.03{col 46}{space 3}0.042{col 54}{space 4} .0024932{col 67}{space 3} .1406619
{txt}b_treatq~l_z {c |}{col 14}{res}{space 2} .1048636{col 26}{space 2}  .027605{col 37}{space 1}    3.80{col 46}{space 3}0.000{col 54}{space 4} .0507497{col 67}{space 3} .1589775
{txt}b_trea~l_z_d {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 1}c_tfull_hc2 {c |}{col 14}{res}{space 2}-.0874751{col 26}{space 2} .0624306{col 37}{space 1}   -1.40{col 46}{space 3}0.161{col 54}{space 4}-.2098572{col 67}{space 3} .0349069
{txt}c_tfull_b_~l {c |}{col 14}{res}{space 2}-.0232389{col 26}{space 2} .0793567{col 37}{space 1}   -0.29{col 46}{space 3}0.770{col 54}{space 4} -.178801{col 67}{space 3} .1323232
{txt}c_tfull_b_~s {c |}{col 14}{res}{space 2} .0964641{col 26}{space 2} .0715231{col 37}{space 1}    1.35{col 46}{space 3}0.177{col 54}{space 4} -.043742{col 67}{space 3} .2366703
{txt}c_tfull_b_~d {c |}{col 14}{res}{space 2}-.0260986{col 26}{space 2} .0274348{col 37}{space 1}   -0.95{col 46}{space 3}0.341{col 54}{space 4}-.0798789{col 67}{space 3} .0276817
{txt}c_tfull_ed~r {c |}{col 14}{res}{space 2}-.0031917{col 26}{space 2} .0024362{col 37}{space 1}   -1.31{col 46}{space 3}0.190{col 54}{space 4}-.0079673{col 67}{space 3}  .001584
{txt}c_tfull_b_~x {c |}{col 14}{res}{space 2} .0048123{col 26}{space 2} .0074123{col 37}{space 1}    0.65{col 46}{space 3}0.516{col 54}{space 4}-.0097179{col 67}{space 3} .0193425
{txt}c_trea~l_hc2 {c |}{col 14}{res}{space 2} .0957178{col 26}{space 2} .0747276{col 37}{space 1}    1.28{col 46}{space 3}0.200{col 54}{space 4}  -.05077{col 67}{space 3} .2422056
{txt}c_treatful.. {c |}{col 14}{res}{space 2} .0495162{col 26}{space 2} .0861322{col 37}{space 1}    0.57{col 46}{space 3}0.565{col 54}{space 4} -.119328{col 67}{space 3} .2183604
{txt}c_treatful.. {c |}{col 14}{res}{space 2}-.1333381{col 26}{space 2}  .098214{col 37}{space 1}   -1.36{col 46}{space 3}0.175{col 54}{space 4} -.325866{col 67}{space 3} .0591898
{txt}c_treatful.. {c |}{col 14}{res}{space 2}  .051547{col 26}{space 2} .0456283{col 37}{space 1}    1.13{col 46}{space 3}0.259{col 54}{space 4}-.0378978{col 67}{space 3} .1409917
{txt}c_treatful.. {c |}{col 14}{res}{space 2} .0042703{col 26}{space 2} .0032147{col 37}{space 1}    1.33{col 46}{space 3}0.184{col 54}{space 4}-.0020315{col 67}{space 3} .0105721
{txt}c_treatful.. {c |}{col 14}{res}{space 2}-.0277575{col 26}{space 2}  .016571{col 37}{space 1}   -1.68{col 46}{space 3}0.094{col 54}{space 4}-.0602415{col 67}{space 3} .0047264
{txt}_Idistrict_2 {c |}{col 14}{res}{space 2} .1469367{col 26}{space 2} .0796798{col 37}{space 1}    1.84{col 46}{space 3}0.065{col 54}{space 4}-.0092589{col 67}{space 3} .3031323
{txt}_Idistrict_3 {c |}{col 14}{res}{space 2}-.0131259{col 26}{space 2} .0989049{col 37}{space 1}   -0.13{col 46}{space 3}0.894{col 54}{space 4}-.2070083{col 67}{space 3} .1807565
{txt}_Idistrict_4 {c |}{col 14}{res}{space 2} .1539673{col 26}{space 2} .0707483{col 37}{space 1}    2.18{col 46}{space 3}0.030{col 54}{space 4} .0152801{col 67}{space 3} .2926545
{txt}_Idistrict_5 {c |}{col 14}{res}{space 2} .1514477{col 26}{space 2}  .083151{col 37}{space 1}    1.82{col 46}{space 3}0.069{col 54}{space 4}-.0115525{col 67}{space 3} .3144479
{txt}_Idistrict_6 {c |}{col 14}{res}{space 2} .2356232{col 26}{space 2} .0821869{col 37}{space 1}    2.87{col 46}{space 3}0.004{col 54}{space 4} .0745129{col 67}{space 3} .3967335
{txt}_Idistrict_7 {c |}{col 14}{res}{space 2} .1259466{col 26}{space 2}  .116863{col 37}{space 1}    1.08{col 46}{space 3}0.281{col 54}{space 4}-.1031389{col 67}{space 3} .3550321
{txt}_Idistrict_8 {c |}{col 14}{res}{space 2} .4209928{col 26}{space 2} .1023207{col 37}{space 1}    4.11{col 46}{space 3}0.000{col 54}{space 4} .2204145{col 67}{space 3}  .621571
{txt}_Idistrict_9 {c |}{col 14}{res}{space 2} .0437113{col 26}{space 2} .1468394{col 37}{space 1}    0.30{col 46}{space 3}0.766{col 54}{space 4}-.2441366{col 67}{space 3} .3315591
{txt}_Idistric~10 {c |}{col 14}{res}{space 2}-.0759828{col 26}{space 2} .0731822{col 37}{space 1}   -1.04{col 46}{space 3}0.299{col 54}{space 4}-.2194412{col 67}{space 3} .0674756
{txt}_Idistric~11 {c |}{col 14}{res}{space 2} .0912544{col 26}{space 2} .0768178{col 37}{space 1}    1.19{col 46}{space 3}0.235{col 54}{space 4}-.0593308{col 67}{space 3} .2418396
{txt}_Idistric~12 {c |}{col 14}{res}{space 2} .1107738{col 26}{space 2} .0816984{col 37}{space 1}    1.36{col 46}{space 3}0.175{col 54}{space 4}-.0493788{col 67}{space 3} .2709264
{txt}_Idistric~13 {c |}{col 14}{res}{space 2}  .187754{col 26}{space 2} .0682162{col 37}{space 1}    2.75{col 46}{space 3}0.006{col 54}{space 4} .0540305{col 67}{space 3} .3214775
{txt}_Idistric~14 {c |}{col 14}{res}{space 2}-.0021821{col 26}{space 2}  .086153{col 37}{space 1}   -0.03{col 46}{space 3}0.980{col 54}{space 4} -.171067{col 67}{space 3} .1667027
{txt}_Idistric~15 {c |}{col 14}{res}{space 2} .0604389{col 26}{space 2}  .072258{col 37}{space 1}    0.84{col 46}{space 3}0.403{col 54}{space 4}-.0812078{col 67}{space 3} .2020856
{txt}_Idistric~16 {c |}{col 14}{res}{space 2} .2054986{col 26}{space 2} .0834072{col 37}{space 1}    2.46{col 46}{space 3}0.014{col 54}{space 4} .0419963{col 67}{space 3} .3690009
{txt}{space 7}_cons {c |}{col 14}{res}{space 2}-.2459605{col 26}{space 2} .0598145{col 37}{space 1}   -4.11{col 46}{space 3}0.000{col 54}{space 4}-.3632142{col 67}{space 3}-.1287067
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

Parente-Santos Silva test for intra-cluster correlation
         Ho: No intra-cluster correlation

            T{col 17}=  {res}60.444
{txt}         P>|T|  =  {res} 0.000
{txt}i.district{col 19}_Idistrict_1-16{col 39}(naturally coded; _Idistrict_1 omitted)
note: b_treatqual_z_d omitted because of collinearity
{res}
{txt}.4 Quantile regression
R-squared = {res}.09515631
{txt}Number of obs = {res}7288
{txt}Objective function = {res}.13088278

{txt}Standard errors adjusted for {res}187{txt} clusters in hc_id
{res}{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}e_treatq~l_z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2} .0607372{col 26}{space 2} .0283505{col 37}{space 1}    2.14{col 46}{space 3}0.032{col 54}{space 4} .0051619{col 67}{space 3} .1163124
{txt}b_treatq~l_z {c |}{col 14}{res}{space 2} .0871378{col 26}{space 2} .0226765{col 37}{space 1}    3.84{col 46}{space 3}0.000{col 54}{space 4} .0426852{col 67}{space 3} .1315904
{txt}b_trea~l_z_d {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 1}c_tfull_hc2 {c |}{col 14}{res}{space 2}-.0566549{col 26}{space 2} .0506259{col 37}{space 1}   -1.12{col 46}{space 3}0.263{col 54}{space 4}-.1558963{col 67}{space 3} .0425865
{txt}c_tfull_b_~l {c |}{col 14}{res}{space 2} -.011373{col 26}{space 2} .0621918{col 37}{space 1}   -0.18{col 46}{space 3}0.855{col 54}{space 4}-.1332871{col 67}{space 3}  .110541
{txt}c_tfull_b_~s {c |}{col 14}{res}{space 2} .0999081{col 26}{space 2} .0664476{col 37}{space 1}    1.50{col 46}{space 3}0.133{col 54}{space 4}-.0303486{col 67}{space 3} .2301647
{txt}c_tfull_b_~d {c |}{col 14}{res}{space 2} .0348647{col 26}{space 2} .0298495{col 37}{space 1}    1.17{col 46}{space 3}0.243{col 54}{space 4} -.023649{col 67}{space 3} .0933784
{txt}c_tfull_ed~r {c |}{col 14}{res}{space 2}-.0034951{col 26}{space 2} .0018518{col 37}{space 1}   -1.89{col 46}{space 3}0.059{col 54}{space 4}-.0071251{col 67}{space 3} .0001349
{txt}c_tfull_b_~x {c |}{col 14}{res}{space 2} .0040193{col 26}{space 2} .0072482{col 37}{space 1}    0.55{col 46}{space 3}0.579{col 54}{space 4}-.0101893{col 67}{space 3}  .018228
{txt}c_trea~l_hc2 {c |}{col 14}{res}{space 2} .0626164{col 26}{space 2} .0740663{col 37}{space 1}    0.85{col 46}{space 3}0.398{col 54}{space 4}-.0825752{col 67}{space 3}  .207808
{txt}c_treatful.. {c |}{col 14}{res}{space 2} .0597468{col 26}{space 2} .0730499{col 37}{space 1}    0.82{col 46}{space 3}0.413{col 54}{space 4}-.0834524{col 67}{space 3} .2029459
{txt}c_treatful.. {c |}{col 14}{res}{space 2}-.1120567{col 26}{space 2}  .096279{col 37}{space 1}   -1.16{col 46}{space 3}0.245{col 54}{space 4}-.3007915{col 67}{space 3} .0766782
{txt}c_treatful.. {c |}{col 14}{res}{space 2}-.0006588{col 26}{space 2}  .043893{col 37}{space 1}   -0.02{col 46}{space 3}0.988{col 54}{space 4}-.0867019{col 67}{space 3} .0853842
{txt}c_treatful.. {c |}{col 14}{res}{space 2} .0045948{col 26}{space 2}   .00294{col 37}{space 1}    1.56{col 46}{space 3}0.118{col 54}{space 4}-.0011685{col 67}{space 3}  .010358
{txt}c_treatful.. {c |}{col 14}{res}{space 2}-.0173426{col 26}{space 2} .0142479{col 37}{space 1}   -1.22{col 46}{space 3}0.224{col 54}{space 4}-.0452727{col 67}{space 3} .0105875
{txt}_Idistrict_2 {c |}{col 14}{res}{space 2} .1360252{col 26}{space 2} .0892204{col 37}{space 1}    1.52{col 46}{space 3}0.127{col 54}{space 4}-.0388726{col 67}{space 3} .3109231
{txt}_Idistrict_3 {c |}{col 14}{res}{space 2} .0022033{col 26}{space 2} .0992043{col 37}{space 1}    0.02{col 46}{space 3}0.982{col 54}{space 4} -.192266{col 67}{space 3} .1966725
{txt}_Idistrict_4 {c |}{col 14}{res}{space 2} .1553019{col 26}{space 2} .0895866{col 37}{space 1}    1.73{col 46}{space 3}0.083{col 54}{space 4}-.0203138{col 67}{space 3} .3309177
{txt}_Idistrict_5 {c |}{col 14}{res}{space 2}  .162808{col 26}{space 2} .1044277{col 37}{space 1}    1.56{col 46}{space 3}0.119{col 54}{space 4}-.0419006{col 67}{space 3} .3675167
{txt}_Idistrict_6 {c |}{col 14}{res}{space 2} .2181949{col 26}{space 2} .0960027{col 37}{space 1}    2.27{col 46}{space 3}0.023{col 54}{space 4} .0300017{col 67}{space 3} .4063882
{txt}_Idistrict_7 {c |}{col 14}{res}{space 2} .1488174{col 26}{space 2} .1067029{col 37}{space 1}    1.39{col 46}{space 3}0.163{col 54}{space 4}-.0603513{col 67}{space 3} .3579861
{txt}_Idistrict_8 {c |}{col 14}{res}{space 2} .4386478{col 26}{space 2} .0957147{col 37}{space 1}    4.58{col 46}{space 3}0.000{col 54}{space 4} .2510191{col 67}{space 3} .6262765
{txt}_Idistrict_9 {c |}{col 14}{res}{space 2}  .100808{col 26}{space 2} .1822138{col 37}{space 1}    0.55{col 46}{space 3}0.580{col 54}{space 4}-.2563841{col 67}{space 3}     .458
{txt}_Idistric~10 {c |}{col 14}{res}{space 2}-.1229259{col 26}{space 2} .0929682{col 37}{space 1}   -1.32{col 46}{space 3}0.186{col 54}{space 4}-.3051706{col 67}{space 3} .0593188
{txt}_Idistric~11 {c |}{col 14}{res}{space 2} .0919981{col 26}{space 2} .0955937{col 37}{space 1}    0.96{col 46}{space 3}0.336{col 54}{space 4}-.0953933{col 67}{space 3} .2793895
{txt}_Idistric~12 {c |}{col 14}{res}{space 2} .0939173{col 26}{space 2}  .089977{col 37}{space 1}    1.04{col 46}{space 3}0.297{col 54}{space 4}-.0824637{col 67}{space 3} .2702984
{txt}_Idistric~13 {c |}{col 14}{res}{space 2} .1626232{col 26}{space 2} .0839921{col 37}{space 1}    1.94{col 46}{space 3}0.053{col 54}{space 4}-.0020259{col 67}{space 3} .3272722
{txt}_Idistric~14 {c |}{col 14}{res}{space 2}-.0305499{col 26}{space 2} .1255408{col 37}{space 1}   -0.24{col 46}{space 3}0.808{col 54}{space 4}-.2766464{col 67}{space 3} .2155467
{txt}_Idistric~15 {c |}{col 14}{res}{space 2} .0532509{col 26}{space 2} .1044725{col 37}{space 1}    0.51{col 46}{space 3}0.610{col 54}{space 4}-.1515456{col 67}{space 3} .2580473
{txt}_Idistric~16 {c |}{col 14}{res}{space 2} .2100239{col 26}{space 2} .1382195{col 37}{space 1}    1.52{col 46}{space 3}0.129{col 54}{space 4}-.0609266{col 67}{space 3} .4809744
{txt}{space 7}_cons {c |}{col 14}{res}{space 2}-.1501697{col 26}{space 2} .0818036{col 37}{space 1}   -1.84{col 46}{space 3}0.066{col 54}{space 4}-.3105286{col 67}{space 3} .0101892
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

Parente-Santos Silva test for intra-cluster correlation
         Ho: No intra-cluster correlation

            T{col 17}=  {res}76.034
{txt}         P>|T|  =  {res} 0.000
{txt}i.district{col 19}_Idistrict_1-16{col 39}(naturally coded; _Idistrict_1 omitted)
note: b_treatqual_z_d omitted because of collinearity
{res}
{txt}Median regression
R-squared = {res}.0937988
{txt}Number of obs = {res}7288
{txt}Objective function = {res}.1299885

{txt}Standard errors adjusted for {res}187{txt} clusters in hc_id
{res}{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}e_treatq~l_z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2} .0615764{col 26}{space 2} .0302533{col 37}{space 1}    2.04{col 46}{space 3}0.042{col 54}{space 4} .0022711{col 67}{space 3} .1208816
{txt}b_treatq~l_z {c |}{col 14}{res}{space 2} .0781239{col 26}{space 2} .0228134{col 37}{space 1}    3.42{col 46}{space 3}0.001{col 54}{space 4} .0334031{col 67}{space 3} .1228448
{txt}b_trea~l_z_d {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 1}c_tfull_hc2 {c |}{col 14}{res}{space 2}-.0371657{col 26}{space 2} .0508142{col 37}{space 1}   -0.73{col 46}{space 3}0.465{col 54}{space 4}-.1367763{col 67}{space 3} .0624449
{txt}c_tfull_b_~l {c |}{col 14}{res}{space 2} .0143819{col 26}{space 2} .0598352{col 37}{space 1}    0.24{col 46}{space 3}0.810{col 54}{space 4}-.1029126{col 67}{space 3} .1316763
{txt}c_tfull_b_~s {c |}{col 14}{res}{space 2} .0950486{col 26}{space 2} .0822254{col 37}{space 1}    1.16{col 46}{space 3}0.248{col 54}{space 4} -.066137{col 67}{space 3} .2562342
{txt}c_tfull_b_~d {c |}{col 14}{res}{space 2} .0403316{col 26}{space 2} .0314824{col 37}{space 1}    1.28{col 46}{space 3}0.200{col 54}{space 4} -.021383{col 67}{space 3} .1020463
{txt}c_tfull_ed~r {c |}{col 14}{res}{space 2}-.0019595{col 26}{space 2}  .001689{col 37}{space 1}   -1.16{col 46}{space 3}0.246{col 54}{space 4}-.0052703{col 67}{space 3} .0013514
{txt}c_tfull_b_~x {c |}{col 14}{res}{space 2} .0026749{col 26}{space 2} .0092832{col 37}{space 1}    0.29{col 46}{space 3}0.773{col 54}{space 4}-.0155229{col 67}{space 3} .0208728
{txt}c_trea~l_hc2 {c |}{col 14}{res}{space 2} .0455819{col 26}{space 2} .0690503{col 37}{space 1}    0.66{col 46}{space 3}0.509{col 54}{space 4}-.0897768{col 67}{space 3} .1809405
{txt}c_treatful.. {c |}{col 14}{res}{space 2}  .046892{col 26}{space 2} .0799227{col 37}{space 1}    0.59{col 46}{space 3}0.557{col 54}{space 4}-.1097797{col 67}{space 3} .2035637
{txt}c_treatful.. {c |}{col 14}{res}{space 2}-.1130033{col 26}{space 2} .0990328{col 37}{space 1}   -1.14{col 46}{space 3}0.254{col 54}{space 4}-.3071364{col 67}{space 3} .0811298
{txt}c_treatful.. {c |}{col 14}{res}{space 2} .0305111{col 26}{space 2} .0464781{col 37}{space 1}    0.66{col 46}{space 3}0.512{col 54}{space 4}-.0605994{col 67}{space 3} .1216216
{txt}c_treatful.. {c |}{col 14}{res}{space 2}  .003047{col 26}{space 2} .0024209{col 37}{space 1}    1.26{col 46}{space 3}0.208{col 54}{space 4}-.0016986{col 67}{space 3} .0077926
{txt}c_treatful.. {c |}{col 14}{res}{space 2}-.0174266{col 26}{space 2} .0140946{col 37}{space 1}   -1.24{col 46}{space 3}0.216{col 54}{space 4}-.0450561{col 67}{space 3} .0102029
{txt}_Idistrict_2 {c |}{col 14}{res}{space 2}  .111086{col 26}{space 2} .0974813{col 37}{space 1}    1.14{col 46}{space 3}0.255{col 54}{space 4}-.0800058{col 67}{space 3} .3021778
{txt}_Idistrict_3 {c |}{col 14}{res}{space 2} -.010542{col 26}{space 2} .1049969{col 37}{space 1}   -0.10{col 46}{space 3}0.920{col 54}{space 4}-.2163664{col 67}{space 3} .1952823
{txt}_Idistrict_4 {c |}{col 14}{res}{space 2} .1020726{col 26}{space 2}  .096465{col 37}{space 1}    1.06{col 46}{space 3}0.290{col 54}{space 4}-.0870269{col 67}{space 3}  .291172
{txt}_Idistrict_5 {c |}{col 14}{res}{space 2} .1626019{col 26}{space 2} .0996501{col 37}{space 1}    1.63{col 46}{space 3}0.103{col 54}{space 4}-.0327412{col 67}{space 3} .3579451
{txt}_Idistrict_6 {c |}{col 14}{res}{space 2} .1821346{col 26}{space 2} .1272173{col 37}{space 1}    1.43{col 46}{space 3}0.152{col 54}{space 4}-.0672483{col 67}{space 3} .4315176
{txt}_Idistrict_7 {c |}{col 14}{res}{space 2} .1377972{col 26}{space 2} .1269381{col 37}{space 1}    1.09{col 46}{space 3}0.278{col 54}{space 4}-.1110384{col 67}{space 3} .3866327
{txt}_Idistrict_8 {c |}{col 14}{res}{space 2} .3934504{col 26}{space 2} .1092404{col 37}{space 1}    3.60{col 46}{space 3}0.000{col 54}{space 4} .1793074{col 67}{space 3} .6075934
{txt}_Idistrict_9 {c |}{col 14}{res}{space 2} .1131472{col 26}{space 2} .1233321{col 37}{space 1}    0.92{col 46}{space 3}0.359{col 54}{space 4}-.1286196{col 67}{space 3}  .354914
{txt}_Idistric~10 {c |}{col 14}{res}{space 2}-.1562146{col 26}{space 2} .0963774{col 37}{space 1}   -1.62{col 46}{space 3}0.105{col 54}{space 4}-.3451423{col 67}{space 3} .0327131
{txt}_Idistric~11 {c |}{col 14}{res}{space 2}  .062043{col 26}{space 2}  .104345{col 37}{space 1}    0.59{col 46}{space 3}0.552{col 54}{space 4}-.1425036{col 67}{space 3} .2665896
{txt}_Idistric~12 {c |}{col 14}{res}{space 2} .0823824{col 26}{space 2} .1010557{col 37}{space 1}    0.82{col 46}{space 3}0.415{col 54}{space 4}-.1157162{col 67}{space 3} .2804809
{txt}_Idistric~13 {c |}{col 14}{res}{space 2} .1044781{col 26}{space 2}  .093013{col 37}{space 1}    1.12{col 46}{space 3}0.261{col 54}{space 4}-.0778544{col 67}{space 3} .2868106
{txt}_Idistric~14 {c |}{col 14}{res}{space 2} -.005596{col 26}{space 2} .1156524{col 37}{space 1}   -0.05{col 46}{space 3}0.961{col 54}{space 4}-.2323084{col 67}{space 3} .2211164
{txt}_Idistric~15 {c |}{col 14}{res}{space 2}  .057116{col 26}{space 2} .1082224{col 37}{space 1}    0.53{col 46}{space 3}0.598{col 54}{space 4}-.1550313{col 67}{space 3} .2692634
{txt}_Idistric~16 {c |}{col 14}{res}{space 2} .2009359{col 26}{space 2} .1225499{col 37}{space 1}    1.64{col 46}{space 3}0.101{col 54}{space 4}-.0392975{col 67}{space 3} .4411693
{txt}{space 7}_cons {c |}{col 14}{res}{space 2}-.0431947{col 26}{space 2} .0909559{col 37}{space 1}   -0.47{col 46}{space 3}0.635{col 54}{space 4}-.2214947{col 67}{space 3} .1351053
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

Parente-Santos Silva test for intra-cluster correlation
         Ho: No intra-cluster correlation

            T{col 17}=  {res}85.282
{txt}         P>|T|  =  {res} 0.000
{txt}i.district{col 19}_Idistrict_1-16{col 39}(naturally coded; _Idistrict_1 omitted)
note: b_treatqual_z_d omitted because of collinearity
{res}
{txt}.6 Quantile regression
R-squared = {res}.09006758
{txt}Number of obs = {res}7288
{txt}Objective function = {res}.12136292

{txt}Standard errors adjusted for {res}187{txt} clusters in hc_id
{res}{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}e_treatq~l_z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2}  .059892{col 26}{space 2} .0273242{col 37}{space 1}    2.19{col 46}{space 3}0.028{col 54}{space 4} .0063286{col 67}{space 3} .1134553
{txt}b_treatq~l_z {c |}{col 14}{res}{space 2} .0790116{col 26}{space 2} .0243046{col 37}{space 1}    3.25{col 46}{space 3}0.001{col 54}{space 4} .0313676{col 67}{space 3} .1266556
{txt}b_trea~l_z_d {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 1}c_tfull_hc2 {c |}{col 14}{res}{space 2}-.0364061{col 26}{space 2}  .050474{col 37}{space 1}   -0.72{col 46}{space 3}0.471{col 54}{space 4}-.1353497{col 67}{space 3} .0625376
{txt}c_tfull_b_~l {c |}{col 14}{res}{space 2} .0121729{col 26}{space 2} .0561658{col 37}{space 1}    0.22{col 46}{space 3}0.828{col 54}{space 4}-.0979285{col 67}{space 3} .1222742
{txt}c_tfull_b_~s {c |}{col 14}{res}{space 2}  .050946{col 26}{space 2} .0594855{col 37}{space 1}    0.86{col 46}{space 3}0.392{col 54}{space 4}-.0656628{col 67}{space 3} .1675548
{txt}c_tfull_b_~d {c |}{col 14}{res}{space 2} .0665474{col 26}{space 2} .0326239{col 37}{space 1}    2.04{col 46}{space 3}0.041{col 54}{space 4}  .002595{col 67}{space 3} .1304997
{txt}c_tfull_ed~r {c |}{col 14}{res}{space 2}-.0033422{col 26}{space 2} .0018814{col 37}{space 1}   -1.78{col 46}{space 3}0.076{col 54}{space 4}-.0070303{col 67}{space 3} .0003458
{txt}c_tfull_b_~x {c |}{col 14}{res}{space 2} .0048217{col 26}{space 2}  .009149{col 37}{space 1}    0.53{col 46}{space 3}0.598{col 54}{space 4}-.0131131{col 67}{space 3} .0227565
{txt}c_trea~l_hc2 {c |}{col 14}{res}{space 2} .0388466{col 26}{space 2} .0638425{col 37}{space 1}    0.61{col 46}{space 3}0.543{col 54}{space 4}-.0863033{col 67}{space 3} .1639965
{txt}c_treatful.. {c |}{col 14}{res}{space 2} .0485809{col 26}{space 2} .0739711{col 37}{space 1}    0.66{col 46}{space 3}0.511{col 54}{space 4} -.096424{col 67}{space 3} .1935859
{txt}c_treatful.. {c |}{col 14}{res}{space 2}-.0737526{col 26}{space 2}  .085041{col 37}{space 1}   -0.87{col 46}{space 3}0.386{col 54}{space 4}-.2404576{col 67}{space 3} .0929524
{txt}c_treatful.. {c |}{col 14}{res}{space 2}-.0032133{col 26}{space 2} .0467687{col 37}{space 1}   -0.07{col 46}{space 3}0.945{col 54}{space 4}-.0948936{col 67}{space 3} .0884671
{txt}c_treatful.. {c |}{col 14}{res}{space 2} .0035824{col 26}{space 2} .0025478{col 37}{space 1}    1.41{col 46}{space 3}0.160{col 54}{space 4} -.001412{col 67}{space 3} .0085768
{txt}c_treatful.. {c |}{col 14}{res}{space 2}-.0312673{col 26}{space 2} .0130199{col 37}{space 1}   -2.40{col 46}{space 3}0.016{col 54}{space 4}-.0567901{col 67}{space 3}-.0057444
{txt}_Idistrict_2 {c |}{col 14}{res}{space 2}  .043909{col 26}{space 2} .0965967{col 37}{space 1}    0.45{col 46}{space 3}0.649{col 54}{space 4}-.1454486{col 67}{space 3} .2332666
{txt}_Idistrict_3 {c |}{col 14}{res}{space 2}-.0585605{col 26}{space 2} .1098765{col 37}{space 1}   -0.53{col 46}{space 3}0.594{col 54}{space 4}-.2739505{col 67}{space 3} .1568295
{txt}_Idistrict_4 {c |}{col 14}{res}{space 2} .0470701{col 26}{space 2} .0948607{col 37}{space 1}    0.50{col 46}{space 3}0.620{col 54}{space 4}-.1388845{col 67}{space 3} .2330248
{txt}_Idistrict_5 {c |}{col 14}{res}{space 2} .0929887{col 26}{space 2} .1001237{col 37}{space 1}    0.93{col 46}{space 3}0.353{col 54}{space 4} -.103283{col 67}{space 3} .2892603
{txt}_Idistrict_6 {c |}{col 14}{res}{space 2} .1370831{col 26}{space 2} .1381841{col 37}{space 1}    0.99{col 46}{space 3}0.321{col 54}{space 4}-.1337979{col 67}{space 3} .4079641
{txt}_Idistrict_7 {c |}{col 14}{res}{space 2} .0971927{col 26}{space 2} .1026223{col 37}{space 1}    0.95{col 46}{space 3}0.344{col 54}{space 4}-.1039768{col 67}{space 3} .2983623
{txt}_Idistrict_8 {c |}{col 14}{res}{space 2}  .325037{col 26}{space 2} .1069126{col 37}{space 1}    3.04{col 46}{space 3}0.002{col 54}{space 4} .1154573{col 67}{space 3} .5346167
{txt}_Idistrict_9 {c |}{col 14}{res}{space 2} .0183868{col 26}{space 2} .1062378{col 37}{space 1}    0.17{col 46}{space 3}0.863{col 54}{space 4}-.1898701{col 67}{space 3} .2266437
{txt}_Idistric~10 {c |}{col 14}{res}{space 2}-.2476006{col 26}{space 2} .0923048{col 37}{space 1}   -2.68{col 46}{space 3}0.007{col 54}{space 4}-.4285448{col 67}{space 3}-.0666564
{txt}_Idistric~11 {c |}{col 14}{res}{space 2}-.0010962{col 26}{space 2} .1115608{col 37}{space 1}   -0.01{col 46}{space 3}0.992{col 54}{space 4}-.2197878{col 67}{space 3} .2175955
{txt}_Idistric~12 {c |}{col 14}{res}{space 2} .0260179{col 26}{space 2} .0928414{col 37}{space 1}    0.28{col 46}{space 3}0.779{col 54}{space 4}-.1559783{col 67}{space 3} .2080142
{txt}_Idistric~13 {c |}{col 14}{res}{space 2} .0206931{col 26}{space 2} .0927452{col 37}{space 1}    0.22{col 46}{space 3}0.823{col 54}{space 4}-.1611145{col 67}{space 3} .2025008
{txt}_Idistric~14 {c |}{col 14}{res}{space 2} -.095731{col 26}{space 2} .1132003{col 37}{space 1}   -0.85{col 46}{space 3}0.398{col 54}{space 4}-.3176365{col 67}{space 3} .1261745
{txt}_Idistric~15 {c |}{col 14}{res}{space 2} -.015143{col 26}{space 2} .1011243{col 37}{space 1}   -0.15{col 46}{space 3}0.881{col 54}{space 4} -.213376{col 67}{space 3} .1830899
{txt}_Idistric~16 {c |}{col 14}{res}{space 2} .1162961{col 26}{space 2} .1161394{col 37}{space 1}    1.00{col 46}{space 3}0.317{col 54}{space 4}-.1113709{col 67}{space 3}  .343963
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} .0944771{col 26}{space 2} .0896049{col 37}{space 1}    1.05{col 46}{space 3}0.292{col 54}{space 4}-.0811746{col 67}{space 3} .2701287
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

Parente-Santos Silva test for intra-cluster correlation
         Ho: No intra-cluster correlation

            T{col 17}=  {res}91.249
{txt}         P>|T|  =  {res} 0.000
{txt}i.district{col 19}_Idistrict_1-16{col 39}(naturally coded; _Idistrict_1 omitted)
note: b_treatqual_z_d omitted because of collinearity
{res}
{txt}.7 Quantile regression
R-squared = {res}.08959999
{txt}Number of obs = {res}7288
{txt}Objective function = {res}.10549017

{txt}Standard errors adjusted for {res}187{txt} clusters in hc_id
{res}{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}e_treatq~l_z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2} .0618282{col 26}{space 2} .0287279{col 37}{space 1}    2.15{col 46}{space 3}0.031{col 54}{space 4} .0055131{col 67}{space 3} .1181433
{txt}b_treatq~l_z {c |}{col 14}{res}{space 2} .0814728{col 26}{space 2} .0224042{col 37}{space 1}    3.64{col 46}{space 3}0.000{col 54}{space 4}  .037554{col 67}{space 3} .1253915
{txt}b_trea~l_z_d {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 1}c_tfull_hc2 {c |}{col 14}{res}{space 2}-.0446592{col 26}{space 2} .0484904{col 37}{space 1}   -0.92{col 46}{space 3}0.357{col 54}{space 4}-.1397144{col 67}{space 3} .0503961
{txt}c_tfull_b_~l {c |}{col 14}{res}{space 2} -.002588{col 26}{space 2} .0521187{col 37}{space 1}   -0.05{col 46}{space 3}0.960{col 54}{space 4}-.1047558{col 67}{space 3} .0995798
{txt}c_tfull_b_~s {c |}{col 14}{res}{space 2} .0691822{col 26}{space 2} .0547236{col 37}{space 1}    1.26{col 46}{space 3}0.206{col 54}{space 4}-.0380919{col 67}{space 3} .1764563
{txt}c_tfull_b_~d {c |}{col 14}{res}{space 2} .0801099{col 26}{space 2} .0254096{col 37}{space 1}    3.15{col 46}{space 3}0.002{col 54}{space 4} .0302997{col 67}{space 3} .1299201
{txt}c_tfull_ed~r {c |}{col 14}{res}{space 2}-.0037673{col 26}{space 2}  .001653{col 37}{space 1}   -2.28{col 46}{space 3}0.023{col 54}{space 4}-.0070075{col 67}{space 3} -.000527
{txt}c_tfull_b_~x {c |}{col 14}{res}{space 2}-.0026097{col 26}{space 2} .0103594{col 37}{space 1}   -0.25{col 46}{space 3}0.801{col 54}{space 4}-.0229172{col 67}{space 3} .0176978
{txt}c_trea~l_hc2 {c |}{col 14}{res}{space 2} .0190572{col 26}{space 2} .0664994{col 37}{space 1}    0.29{col 46}{space 3}0.774{col 54}{space 4}-.1113009{col 67}{space 3} .1494154
{txt}c_treatful.. {c |}{col 14}{res}{space 2} .0670706{col 26}{space 2}  .067472{col 37}{space 1}    0.99{col 46}{space 3}0.320{col 54}{space 4}-.0651941{col 67}{space 3} .1993352
{txt}c_treatful.. {c |}{col 14}{res}{space 2}-.1042704{col 26}{space 2} .0822014{col 37}{space 1}   -1.27{col 46}{space 3}0.205{col 54}{space 4}-.2654091{col 67}{space 3} .0568684
{txt}c_treatful.. {c |}{col 14}{res}{space 2}-.0005804{col 26}{space 2} .0360498{col 37}{space 1}   -0.02{col 46}{space 3}0.987{col 54}{space 4}-.0712485{col 67}{space 3} .0700877
{txt}c_treatful.. {c |}{col 14}{res}{space 2} .0032606{col 26}{space 2} .0026805{col 37}{space 1}    1.22{col 46}{space 3}0.224{col 54}{space 4}-.0019939{col 67}{space 3} .0085151
{txt}c_treatful.. {c |}{col 14}{res}{space 2}-.0246681{col 26}{space 2} .0147449{col 37}{space 1}   -1.67{col 46}{space 3}0.094{col 54}{space 4}-.0535724{col 67}{space 3} .0042363
{txt}_Idistrict_2 {c |}{col 14}{res}{space 2} .0547225{col 26}{space 2} .0710013{col 37}{space 1}    0.77{col 46}{space 3}0.441{col 54}{space 4}-.0844607{col 67}{space 3} .1939056
{txt}_Idistrict_3 {c |}{col 14}{res}{space 2}-.0526354{col 26}{space 2} .0836427{col 37}{space 1}   -0.63{col 46}{space 3}0.529{col 54}{space 4}-.2165994{col 67}{space 3} .1113286
{txt}_Idistrict_4 {c |}{col 14}{res}{space 2} .0448581{col 26}{space 2} .0732643{col 37}{space 1}    0.61{col 46}{space 3}0.540{col 54}{space 4}-.0987613{col 67}{space 3} .1884775
{txt}_Idistrict_5 {c |}{col 14}{res}{space 2} .0770767{col 26}{space 2} .0813576{col 37}{space 1}    0.95{col 46}{space 3}0.343{col 54}{space 4}-.0824079{col 67}{space 3} .2365613
{txt}_Idistrict_6 {c |}{col 14}{res}{space 2} .1838343{col 26}{space 2} .1634874{col 37}{space 1}    1.12{col 46}{space 3}0.261{col 54}{space 4}-.1366485{col 67}{space 3} .5043171
{txt}_Idistrict_7 {c |}{col 14}{res}{space 2}  .087972{col 26}{space 2} .0816393{col 37}{space 1}    1.08{col 46}{space 3}0.281{col 54}{space 4}-.0720648{col 67}{space 3} .2480088
{txt}_Idistrict_8 {c |}{col 14}{res}{space 2} .3025966{col 26}{space 2} .0754715{col 37}{space 1}    4.01{col 46}{space 3}0.000{col 54}{space 4} .1546505{col 67}{space 3} .4505427
{txt}_Idistrict_9 {c |}{col 14}{res}{space 2} .0289795{col 26}{space 2} .0796742{col 37}{space 1}    0.36{col 46}{space 3}0.716{col 54}{space 4} -.127205{col 67}{space 3}  .185164
{txt}_Idistric~10 {c |}{col 14}{res}{space 2}-.2399472{col 26}{space 2} .0755268{col 37}{space 1}   -3.18{col 46}{space 3}0.001{col 54}{space 4}-.3880018{col 67}{space 3}-.0918927
{txt}_Idistric~11 {c |}{col 14}{res}{space 2} .0134179{col 26}{space 2}  .078765{col 37}{space 1}    0.17{col 46}{space 3}0.865{col 54}{space 4}-.1409845{col 67}{space 3} .1678203
{txt}_Idistric~12 {c |}{col 14}{res}{space 2} .0157179{col 26}{space 2} .0662805{col 37}{space 1}    0.24{col 46}{space 3}0.813{col 54}{space 4}-.1142111{col 67}{space 3} .1456469
{txt}_Idistric~13 {c |}{col 14}{res}{space 2} .0088215{col 26}{space 2} .0688531{col 37}{space 1}    0.13{col 46}{space 3}0.898{col 54}{space 4}-.1261506{col 67}{space 3} .1437937
{txt}_Idistric~14 {c |}{col 14}{res}{space 2}-.0749196{col 26}{space 2} .1009347{col 37}{space 1}   -0.74{col 46}{space 3}0.458{col 54}{space 4}-.2727809{col 67}{space 3} .1229417
{txt}_Idistric~15 {c |}{col 14}{res}{space 2}-.0177804{col 26}{space 2} .0839283{col 37}{space 1}   -0.21{col 46}{space 3}0.832{col 54}{space 4}-.1823043{col 67}{space 3} .1467434
{txt}_Idistric~16 {c |}{col 14}{res}{space 2} .0883891{col 26}{space 2}  .091526{col 37}{space 1}    0.97{col 46}{space 3}0.334{col 54}{space 4}-.0910285{col 67}{space 3} .2678068
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} .1661279{col 26}{space 2} .0639709{col 37}{space 1}    2.60{col 46}{space 3}0.009{col 54}{space 4} .0407264{col 67}{space 3} .2915294
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

Parente-Santos Silva test for intra-cluster correlation
         Ho: No intra-cluster correlation

            T{col 17}=  {res}89.363
{txt}         P>|T|  =  {res} 0.000
{txt}i.district{col 19}_Idistrict_1-16{col 39}(naturally coded; _Idistrict_1 omitted)
note: b_treatqual_z_d omitted because of collinearity
{res}
{txt}.8 Quantile regression
R-squared = {res}.08543724
{txt}Number of obs = {res}7288
{txt}Objective function = {res}.08198873

{txt}Standard errors adjusted for {res}187{txt} clusters in hc_id
{res}{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}e_treatq~l_z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2} .0584139{col 26}{space 2} .0255089{col 37}{space 1}    2.29{col 46}{space 3}0.022{col 54}{space 4}  .008409{col 67}{space 3} .1084188
{txt}b_treatq~l_z {c |}{col 14}{res}{space 2} .0813939{col 26}{space 2} .0250049{col 37}{space 1}    3.26{col 46}{space 3}0.001{col 54}{space 4}  .032377{col 67}{space 3} .1304107
{txt}b_trea~l_z_d {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 1}c_tfull_hc2 {c |}{col 14}{res}{space 2}-.0427697{col 26}{space 2} .0507704{col 37}{space 1}   -0.84{col 46}{space 3}0.400{col 54}{space 4}-.1422944{col 67}{space 3}  .056755
{txt}c_tfull_b_~l {c |}{col 14}{res}{space 2}-.0003101{col 26}{space 2}  .049743{col 37}{space 1}   -0.01{col 46}{space 3}0.995{col 54}{space 4}-.0978209{col 67}{space 3} .0972007
{txt}c_tfull_b_~s {c |}{col 14}{res}{space 2} .0488186{col 26}{space 2}  .051892{col 37}{space 1}    0.94{col 46}{space 3}0.347{col 54}{space 4}-.0529049{col 67}{space 3} .1505421
{txt}c_tfull_b_~d {c |}{col 14}{res}{space 2} .0993962{col 26}{space 2} .0253324{col 37}{space 1}    3.92{col 46}{space 3}0.000{col 54}{space 4} .0497373{col 67}{space 3} .1490551
{txt}c_tfull_ed~r {c |}{col 14}{res}{space 2}-.0030649{col 26}{space 2} .0015392{col 37}{space 1}   -1.99{col 46}{space 3}0.046{col 54}{space 4}-.0060821{col 67}{space 3}-.0000477
{txt}c_tfull_b_~x {c |}{col 14}{res}{space 2}-.0041036{col 26}{space 2} .0109587{col 37}{space 1}   -0.37{col 46}{space 3}0.708{col 54}{space 4}-.0255859{col 67}{space 3} .0173787
{txt}c_trea~l_hc2 {c |}{col 14}{res}{space 2} .0030469{col 26}{space 2} .0666984{col 37}{space 1}    0.05{col 46}{space 3}0.964{col 54}{space 4}-.1277014{col 67}{space 3} .1337951
{txt}c_treatful.. {c |}{col 14}{res}{space 2} .0737783{col 26}{space 2} .0632464{col 37}{space 1}    1.17{col 46}{space 3}0.243{col 54}{space 4}-.0502031{col 67}{space 3} .1977598
{txt}c_treatful.. {c |}{col 14}{res}{space 2}-.1054162{col 26}{space 2} .0826656{col 37}{space 1}   -1.28{col 46}{space 3}0.202{col 54}{space 4}-.2674647{col 67}{space 3} .0566324
{txt}c_treatful.. {c |}{col 14}{res}{space 2} .0082617{col 26}{space 2} .0332621{col 37}{space 1}    0.25{col 46}{space 3}0.804{col 54}{space 4}-.0569417{col 67}{space 3}  .073465
{txt}c_treatful.. {c |}{col 14}{res}{space 2} .0014915{col 26}{space 2} .0022397{col 37}{space 1}    0.67{col 46}{space 3}0.505{col 54}{space 4}-.0028989{col 67}{space 3}  .005882
{txt}c_treatful.. {c |}{col 14}{res}{space 2}-.0192225{col 26}{space 2} .0168357{col 37}{space 1}   -1.14{col 46}{space 3}0.254{col 54}{space 4}-.0522253{col 67}{space 3} .0137804
{txt}_Idistrict_2 {c |}{col 14}{res}{space 2} .0290832{col 26}{space 2} .0625031{col 37}{space 1}    0.47{col 46}{space 3}0.642{col 54}{space 4}-.0934411{col 67}{space 3} .1516076
{txt}_Idistrict_3 {c |}{col 14}{res}{space 2}-.0531914{col 26}{space 2} .0834841{col 37}{space 1}   -0.64{col 46}{space 3}0.524{col 54}{space 4}-.2168444{col 67}{space 3} .1104616
{txt}_Idistrict_4 {c |}{col 14}{res}{space 2} .0496399{col 26}{space 2} .0638522{col 37}{space 1}    0.78{col 46}{space 3}0.437{col 54}{space 4} -.075529{col 67}{space 3} .1748089
{txt}_Idistrict_5 {c |}{col 14}{res}{space 2} .0972564{col 26}{space 2} .1048488{col 37}{space 1}    0.93{col 46}{space 3}0.354{col 54}{space 4}-.1082777{col 67}{space 3} .3027905
{txt}_Idistrict_6 {c |}{col 14}{res}{space 2} .2401734{col 26}{space 2} .1439788{col 37}{space 1}    1.67{col 46}{space 3}0.095{col 54}{space 4} -.042067{col 67}{space 3} .5224138
{txt}_Idistrict_7 {c |}{col 14}{res}{space 2} .0751372{col 26}{space 2} .0769907{col 37}{space 1}    0.98{col 46}{space 3}0.329{col 54}{space 4}-.0757869{col 67}{space 3} .2260614
{txt}_Idistrict_8 {c |}{col 14}{res}{space 2} .3025886{col 26}{space 2} .0737667{col 37}{space 1}    4.10{col 46}{space 3}0.000{col 54}{space 4} .1579844{col 67}{space 3} .4471928
{txt}_Idistrict_9 {c |}{col 14}{res}{space 2} -.001099{col 26}{space 2} .0727002{col 37}{space 1}   -0.02{col 46}{space 3}0.988{col 54}{space 4}-.1436127{col 67}{space 3} .1414146
{txt}_Idistric~10 {c |}{col 14}{res}{space 2}-.2557756{col 26}{space 2} .0722422{col 37}{space 1}   -3.54{col 46}{space 3}0.000{col 54}{space 4}-.3973913{col 67}{space 3}-.1141598
{txt}_Idistric~11 {c |}{col 14}{res}{space 2} .0204897{col 26}{space 2} .0744403{col 37}{space 1}    0.28{col 46}{space 3}0.783{col 54}{space 4} -.125435{col 67}{space 3} .1664144
{txt}_Idistric~12 {c |}{col 14}{res}{space 2} .0031648{col 26}{space 2} .0607085{col 37}{space 1}    0.05{col 46}{space 3}0.958{col 54}{space 4}-.1158414{col 67}{space 3} .1221711
{txt}_Idistric~13 {c |}{col 14}{res}{space 2} .0015875{col 26}{space 2} .0645924{col 37}{space 1}    0.02{col 46}{space 3}0.980{col 54}{space 4}-.1250324{col 67}{space 3} .1282073
{txt}_Idistric~14 {c |}{col 14}{res}{space 2}-.1071647{col 26}{space 2} .0818067{col 37}{space 1}   -1.31{col 46}{space 3}0.190{col 54}{space 4}-.2675296{col 67}{space 3} .0532002
{txt}_Idistric~15 {c |}{col 14}{res}{space 2}-.0495298{col 26}{space 2} .0749955{col 37}{space 1}   -0.66{col 46}{space 3}0.509{col 54}{space 4}-.1965428{col 67}{space 3} .0974832
{txt}_Idistric~16 {c |}{col 14}{res}{space 2} .0544866{col 26}{space 2} .0873378{col 37}{space 1}    0.62{col 46}{space 3}0.533{col 54}{space 4}-.1167208{col 67}{space 3}  .225694
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} .2518658{col 26}{space 2} .0586597{col 37}{space 1}    4.29{col 46}{space 3}0.000{col 54}{space 4} .1368756{col 67}{space 3} .3668559
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

Parente-Santos Silva test for intra-cluster correlation
         Ho: No intra-cluster correlation

            T{col 17}=  {res}74.806
{txt}         P>|T|  =  {res} 0.000
{txt}i.district{col 19}_Idistrict_1-16{col 39}(naturally coded; _Idistrict_1 omitted)
note: b_treatqual_z_d omitted because of collinearity
{res}
{txt}.9 Quantile regression
R-squared = {res}.07368913
{txt}Number of obs = {res}7288
{txt}Objective function = {res}.04952334

{txt}Standard errors adjusted for {res}187{txt} clusters in hc_id
{res}{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}e_treatq~l_z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2}  .049191{col 26}{space 2} .0265656{col 37}{space 1}    1.85{col 46}{space 3}0.064{col 54}{space 4}-.0028853{col 67}{space 3} .1012673
{txt}b_treatq~l_z {c |}{col 14}{res}{space 2} .0803744{col 26}{space 2} .0257475{col 37}{space 1}    3.12{col 46}{space 3}0.002{col 54}{space 4} .0299019{col 67}{space 3}  .130847
{txt}b_trea~l_z_d {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 1}c_tfull_hc2 {c |}{col 14}{res}{space 2} .0104591{col 26}{space 2} .0417194{col 37}{space 1}    0.25{col 46}{space 3}0.802{col 54}{space 4} -.071323{col 67}{space 3} .0922412
{txt}c_tfull_b_~l {c |}{col 14}{res}{space 2} .0064647{col 26}{space 2} .0549069{col 37}{space 1}    0.12{col 46}{space 3}0.906{col 54}{space 4}-.1011688{col 67}{space 3} .1140983
{txt}c_tfull_b_~s {c |}{col 14}{res}{space 2} .0865298{col 26}{space 2} .0632133{col 37}{space 1}    1.37{col 46}{space 3}0.171{col 54}{space 4}-.0373866{col 67}{space 3} .2104461
{txt}c_tfull_b_~d {c |}{col 14}{res}{space 2} .1547299{col 26}{space 2} .0286445{col 37}{space 1}    5.40{col 46}{space 3}0.000{col 54}{space 4} .0985783{col 67}{space 3} .2108814
{txt}c_tfull_ed~r {c |}{col 14}{res}{space 2}-.0002168{col 26}{space 2} .0027263{col 37}{space 1}   -0.08{col 46}{space 3}0.937{col 54}{space 4}-.0055611{col 67}{space 3} .0051275
{txt}c_tfull_b_~x {c |}{col 14}{res}{space 2}-.0099851{col 26}{space 2} .0111683{col 37}{space 1}   -0.89{col 46}{space 3}0.371{col 54}{space 4}-.0318782{col 67}{space 3} .0119081
{txt}c_trea~l_hc2 {c |}{col 14}{res}{space 2}-.0471556{col 26}{space 2}  .059893{col 37}{space 1}   -0.79{col 46}{space 3}0.431{col 54}{space 4}-.1645632{col 67}{space 3} .0702521
{txt}c_treatful.. {c |}{col 14}{res}{space 2} .0848833{col 26}{space 2} .0684781{col 37}{space 1}    1.24{col 46}{space 3}0.215{col 54}{space 4}-.0493536{col 67}{space 3} .2191203
{txt}c_treatful.. {c |}{col 14}{res}{space 2}-.1349945{col 26}{space 2} .0772311{col 37}{space 1}   -1.75{col 46}{space 3}0.081{col 54}{space 4}  -.28639{col 67}{space 3}  .016401
{txt}c_treatful.. {c |}{col 14}{res}{space 2}-.0328352{col 26}{space 2} .0364049{col 37}{space 1}   -0.90{col 46}{space 3}0.367{col 54}{space 4}-.1041995{col 67}{space 3}  .038529
{txt}c_treatful.. {c |}{col 14}{res}{space 2}-.0042404{col 26}{space 2} .0033601{col 37}{space 1}   -1.26{col 46}{space 3}0.207{col 54}{space 4}-.0108271{col 67}{space 3} .0023464
{txt}c_treatful.. {c |}{col 14}{res}{space 2}-.0132016{col 26}{space 2} .0150154{col 37}{space 1}   -0.88{col 46}{space 3}0.379{col 54}{space 4}-.0426361{col 67}{space 3} .0162329
{txt}_Idistrict_2 {c |}{col 14}{res}{space 2}-.0192218{col 26}{space 2} .0673505{col 37}{space 1}   -0.29{col 46}{space 3}0.775{col 54}{space 4}-.1512484{col 67}{space 3} .1128047
{txt}_Idistrict_3 {c |}{col 14}{res}{space 2}-.0310608{col 26}{space 2} .1244052{col 37}{space 1}   -0.25{col 46}{space 3}0.803{col 54}{space 4}-.2749311{col 67}{space 3} .2128095
{txt}_Idistrict_4 {c |}{col 14}{res}{space 2} .0266419{col 26}{space 2} .0714243{col 37}{space 1}    0.37{col 46}{space 3}0.709{col 54}{space 4}-.1133705{col 67}{space 3} .1666543
{txt}_Idistrict_5 {c |}{col 14}{res}{space 2} .0906624{col 26}{space 2} .1092346{col 37}{space 1}    0.83{col 46}{space 3}0.407{col 54}{space 4}-.1234692{col 67}{space 3} .3047939
{txt}_Idistrict_6 {c |}{col 14}{res}{space 2}  .254989{col 26}{space 2} .0962507{col 37}{space 1}    2.65{col 46}{space 3}0.008{col 54}{space 4} .0663096{col 67}{space 3} .4436684
{txt}_Idistrict_7 {c |}{col 14}{res}{space 2} .0828328{col 26}{space 2} .0847383{col 37}{space 1}    0.98{col 46}{space 3}0.328{col 54}{space 4} -.083279{col 67}{space 3} .2489445
{txt}_Idistrict_8 {c |}{col 14}{res}{space 2} .2972886{col 26}{space 2} .0755236{col 37}{space 1}    3.94{col 46}{space 3}0.000{col 54}{space 4} .1492404{col 67}{space 3} .4453369
{txt}_Idistrict_9 {c |}{col 14}{res}{space 2}-.0187334{col 26}{space 2} .0719787{col 37}{space 1}   -0.26{col 46}{space 3}0.795{col 54}{space 4}-.1598327{col 67}{space 3} .1223658
{txt}_Idistric~10 {c |}{col 14}{res}{space 2}-.2715678{col 26}{space 2} .0780624{col 37}{space 1}   -3.48{col 46}{space 3}0.001{col 54}{space 4}-.4245927{col 67}{space 3}-.1185429
{txt}_Idistric~11 {c |}{col 14}{res}{space 2} .0408268{col 26}{space 2} .1027955{col 37}{space 1}    0.40{col 46}{space 3}0.691{col 54}{space 4}-.1606822{col 67}{space 3} .2423358
{txt}_Idistric~12 {c |}{col 14}{res}{space 2} .0005684{col 26}{space 2} .0804808{col 37}{space 1}    0.01{col 46}{space 3}0.994{col 54}{space 4}-.1571974{col 67}{space 3} .1583343
{txt}_Idistric~13 {c |}{col 14}{res}{space 2} -.018714{col 26}{space 2}  .073944{col 37}{space 1}   -0.25{col 46}{space 3}0.800{col 54}{space 4}-.1636657{col 67}{space 3} .1262377
{txt}_Idistric~14 {c |}{col 14}{res}{space 2}-.1373684{col 26}{space 2} .0781637{col 37}{space 1}   -1.76{col 46}{space 3}0.079{col 54}{space 4} -.290592{col 67}{space 3} .0158553
{txt}_Idistric~15 {c |}{col 14}{res}{space 2}-.0442226{col 26}{space 2}   .07752{col 37}{space 1}   -0.57{col 46}{space 3}0.568{col 54}{space 4}-.1961843{col 67}{space 3} .1077392
{txt}_Idistric~16 {c |}{col 14}{res}{space 2} .0611899{col 26}{space 2} .0766876{col 37}{space 1}    0.80{col 46}{space 3}0.425{col 54}{space 4}-.0891401{col 67}{space 3} .2115199
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} .3699955{col 26}{space 2}  .062106{col 37}{space 1}    5.96{col 46}{space 3}0.000{col 54}{space 4} .2482497{col 67}{space 3} .4917413
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

Parente-Santos Silva test for intra-cluster correlation
         Ho: No intra-cluster correlation

            T{col 17}=  {res}58.968
{txt}         P>|T|  =  {res} 0.000
{txt}note: b_patsat_z_d omitted because of collinearity
{res}
{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}     7,288
{txt}{col 49}F({res}  14{txt},{res}    186{txt}){col 67}= {res}      9.05
{txt}{col 49}Prob > F{col 67}= {res}    0.0000
{txt}{col 49}R-squared{col 67}= {res}    0.0425
{txt}{col 49}Adj R-squared{col 67}= {res}    0.0387
{txt}{col 49}Root MSE{col 67}= {res}    0.5862

{txt}{ralign 78:(Std. Err. adjusted for {res:187} clusters in hc_id)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}  e_patsat_z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2} .0766698{col 26}{space 2}  .023602{col 37}{space 1}    3.25{col 46}{space 3}0.001{col 54}{space 4} .0301077{col 67}{space 3} .1232319
{txt}{space 2}b_patsat_z {c |}{col 14}{res}{space 2} .1381434{col 26}{space 2} .0151288{col 37}{space 1}    9.13{col 46}{space 3}0.000{col 54}{space 4} .1082973{col 67}{space 3} .1679895
{txt}b_patsat_z_d {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 1}c_tfull_hc2 {c |}{col 14}{res}{space 2} .0124335{col 26}{space 2} .0399891{col 37}{space 1}    0.31{col 46}{space 3}0.756{col 54}{space 4} -.066457{col 67}{space 3} .0913239
{txt}c_tfull_b_~l {c |}{col 14}{res}{space 2}  .099912{col 26}{space 2}  .051595{col 37}{space 1}    1.94{col 46}{space 3}0.054{col 54}{space 4}-.0018747{col 67}{space 3} .2016987
{txt}c_tfull_b_~s {c |}{col 14}{res}{space 2} .0058389{col 26}{space 2} .0649235{col 37}{space 1}    0.09{col 46}{space 3}0.928{col 54}{space 4}-.1222422{col 67}{space 3}   .13392
{txt}c_tfull_b_~d {c |}{col 14}{res}{space 2} .0028207{col 26}{space 2} .0432805{col 37}{space 1}    0.07{col 46}{space 3}0.948{col 54}{space 4}-.0825632{col 67}{space 3} .0882046
{txt}c_tfull_ed~r {c |}{col 14}{res}{space 2} .0018915{col 26}{space 2} .0028311{col 37}{space 1}    0.67{col 46}{space 3}0.505{col 54}{space 4}-.0036937{col 67}{space 3} .0074767
{txt}c_tfull_b_~x {c |}{col 14}{res}{space 2} .0145285{col 26}{space 2} .0099867{col 37}{space 1}    1.45{col 46}{space 3}0.147{col 54}{space 4}-.0051733{col 67}{space 3} .0342303
{txt}c_trea~l_hc2 {c |}{col 14}{res}{space 2}-.1187986{col 26}{space 2} .0544174{col 37}{space 1}   -2.18{col 46}{space 3}0.030{col 54}{space 4}-.2261532{col 67}{space 3}-.0114439
{txt}c_treatful.. {c |}{col 14}{res}{space 2}-.1632267{col 26}{space 2} .0637943{col 37}{space 1}   -2.56{col 46}{space 3}0.011{col 54}{space 4}  -.28908{col 67}{space 3}-.0373734
{txt}c_treatful.. {c |}{col 14}{res}{space 2} .0113699{col 26}{space 2} .0749944{col 37}{space 1}    0.15{col 46}{space 3}0.880{col 54}{space 4}-.1365791{col 67}{space 3} .1593189
{txt}c_treatful.. {c |}{col 14}{res}{space 2}-.0227408{col 26}{space 2} .0514382{col 37}{space 1}   -0.44{col 46}{space 3}0.659{col 54}{space 4}-.1242181{col 67}{space 3} .0787366
{txt}c_treatful.. {c |}{col 14}{res}{space 2} .0026683{col 26}{space 2} .0037246{col 37}{space 1}    0.72{col 46}{space 3}0.475{col 54}{space 4}-.0046795{col 67}{space 3} .0100162
{txt}c_treatful.. {c |}{col 14}{res}{space 2}-.0265156{col 26}{space 2} .0143484{col 37}{space 1}   -1.85{col 46}{space 3}0.066{col 54}{space 4}-.0548222{col 67}{space 3} .0017909
{txt}{space 7}_cons {c |}{col 14}{res}{space 2}-.0018319{col 26}{space 2} .0176994{col 37}{space 1}   -0.10{col 46}{space 3}0.918{col 54}{space 4}-.0367493{col 67}{space 3} .0330855
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)
i.district{col 19}_Idistrict_1-16{col 39}(naturally coded; _Idistrict_1 omitted)
note: b_patsat_z_d omitted because of collinearity
{res}
{txt}.1 Quantile regression
R-squared = {res}.0354883
{txt}Number of obs = {res}7288
{txt}Objective function = {res}.13162068

{txt}Standard errors adjusted for {res}187{txt} clusters in hc_id
{res}{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}  e_patsat_z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2} .1026973{col 26}{space 2} .0507375{col 37}{space 1}    2.02{col 46}{space 3}0.043{col 54}{space 4} .0032369{col 67}{space 3} .2021576
{txt}{space 2}b_patsat_z {c |}{col 14}{res}{space 2} .3817449{col 26}{space 2} .1228518{col 37}{space 1}    3.11{col 46}{space 3}0.002{col 54}{space 4} .1409197{col 67}{space 3} .6225701
{txt}b_patsat_z_d {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 1}c_tfull_hc2 {c |}{col 14}{res}{space 2} .1114462{col 26}{space 2} .1001956{col 37}{space 1}    1.11{col 46}{space 3}0.266{col 54}{space 4}-.0849664{col 67}{space 3} .3078588
{txt}c_tfull_b_~l {c |}{col 14}{res}{space 2} .2254973{col 26}{space 2} .1032861{col 37}{space 1}    2.18{col 46}{space 3}0.029{col 54}{space 4} .0230265{col 67}{space 3}  .427968
{txt}c_tfull_b_~s {c |}{col 14}{res}{space 2}-.0012221{col 26}{space 2} .1029204{col 37}{space 1}   -0.01{col 46}{space 3}0.991{col 54}{space 4} -.202976{col 67}{space 3} .2005319
{txt}c_tfull_b_~d {c |}{col 14}{res}{space 2}  -.07692{col 26}{space 2} .1073105{col 37}{space 1}   -0.72{col 46}{space 3}0.474{col 54}{space 4}-.2872798{col 67}{space 3} .1334398
{txt}c_tfull_ed~r {c |}{col 14}{res}{space 2} .0023857{col 26}{space 2} .0091728{col 37}{space 1}    0.26{col 46}{space 3}0.795{col 54}{space 4}-.0155955{col 67}{space 3}  .020367
{txt}c_tfull_b_~x {c |}{col 14}{res}{space 2} .0453478{col 26}{space 2} .0213857{col 37}{space 1}    2.12{col 46}{space 3}0.034{col 54}{space 4} .0034257{col 67}{space 3} .0872699
{txt}c_trea~l_hc2 {c |}{col 14}{res}{space 2} -.286841{col 26}{space 2} .1422405{col 37}{space 1}   -2.02{col 46}{space 3}0.044{col 54}{space 4}-.5656738{col 67}{space 3}-.0080082
{txt}c_treatful.. {c |}{col 14}{res}{space 2}-.4070641{col 26}{space 2} .1567332{col 37}{space 1}   -2.60{col 46}{space 3}0.009{col 54}{space 4}-.7143068{col 67}{space 3}-.0998213
{txt}c_treatful.. {c |}{col 14}{res}{space 2} .0435444{col 26}{space 2} .1257805{col 37}{space 1}    0.35{col 46}{space 3}0.729{col 54}{space 4} -.203022{col 67}{space 3} .2901108
{txt}c_treatful.. {c |}{col 14}{res}{space 2}-.0646493{col 26}{space 2} .1018585{col 37}{space 1}   -0.63{col 46}{space 3}0.526{col 54}{space 4}-.2643215{col 67}{space 3}  .135023
{txt}c_treatful.. {c |}{col 14}{res}{space 2} .0107384{col 26}{space 2} .0113792{col 37}{space 1}    0.94{col 46}{space 3}0.345{col 54}{space 4}-.0115681{col 67}{space 3} .0330448
{txt}c_treatful.. {c |}{col 14}{res}{space 2}-.0507994{col 26}{space 2} .0305453{col 37}{space 1}   -1.66{col 46}{space 3}0.096{col 54}{space 4}-.1106771{col 67}{space 3} .0090782
{txt}_Idistrict_2 {c |}{col 14}{res}{space 2} .0281854{col 26}{space 2} .1597496{col 37}{space 1}    0.18{col 46}{space 3}0.860{col 54}{space 4}-.2849703{col 67}{space 3} .3413411
{txt}_Idistrict_3 {c |}{col 14}{res}{space 2}-.0199607{col 26}{space 2} .2227862{col 37}{space 1}   -0.09{col 46}{space 3}0.929{col 54}{space 4}-.4566863{col 67}{space 3}  .416765
{txt}_Idistrict_4 {c |}{col 14}{res}{space 2} -.055821{col 26}{space 2} .1502188{col 37}{space 1}   -0.37{col 46}{space 3}0.710{col 54}{space 4}-.3502936{col 67}{space 3} .2386516
{txt}_Idistrict_5 {c |}{col 14}{res}{space 2}-.0359028{col 26}{space 2}  .153875{col 37}{space 1}   -0.23{col 46}{space 3}0.816{col 54}{space 4}-.3375426{col 67}{space 3} .2657369
{txt}_Idistrict_6 {c |}{col 14}{res}{space 2} .0969321{col 26}{space 2} .1709516{col 37}{space 1}    0.57{col 46}{space 3}0.571{col 54}{space 4}-.2381828{col 67}{space 3} .4320469
{txt}_Idistrict_7 {c |}{col 14}{res}{space 2} .1275692{col 26}{space 2}  .138368{col 37}{space 1}    0.92{col 46}{space 3}0.357{col 54}{space 4}-.1436723{col 67}{space 3} .3988108
{txt}_Idistrict_8 {c |}{col 14}{res}{space 2} .2886732{col 26}{space 2} .1511067{col 37}{space 1}    1.91{col 46}{space 3}0.056{col 54}{space 4}-.0075398{col 67}{space 3} .5848863
{txt}_Idistrict_9 {c |}{col 14}{res}{space 2} .1987518{col 26}{space 2} .1381128{col 37}{space 1}    1.44{col 46}{space 3}0.150{col 54}{space 4}-.0719895{col 67}{space 3} .4694932
{txt}_Idistric~10 {c |}{col 14}{res}{space 2} .0583981{col 26}{space 2} .1966438{col 37}{space 1}    0.30{col 46}{space 3}0.766{col 54}{space 4}-.3270809{col 67}{space 3} .4438772
{txt}_Idistric~11 {c |}{col 14}{res}{space 2} .0476376{col 26}{space 2}  .166898{col 37}{space 1}    0.29{col 46}{space 3}0.775{col 54}{space 4}-.2795311{col 67}{space 3} .3748063
{txt}_Idistric~12 {c |}{col 14}{res}{space 2} .0692126{col 26}{space 2} .1657753{col 37}{space 1}    0.42{col 46}{space 3}0.676{col 54}{space 4}-.2557553{col 67}{space 3} .3941804
{txt}_Idistric~13 {c |}{col 14}{res}{space 2} .0888506{col 26}{space 2} .1370859{col 37}{space 1}    0.65{col 46}{space 3}0.517{col 54}{space 4}-.1798778{col 67}{space 3} .3575789
{txt}_Idistric~14 {c |}{col 14}{res}{space 2} .2800262{col 26}{space 2} .1394481{col 37}{space 1}    2.01{col 46}{space 3}0.045{col 54}{space 4} .0066674{col 67}{space 3} .5533849
{txt}_Idistric~15 {c |}{col 14}{res}{space 2} .1958458{col 26}{space 2} .1390517{col 37}{space 1}    1.41{col 46}{space 3}0.159{col 54}{space 4} -.076736{col 67}{space 3} .4684277
{txt}_Idistric~16 {c |}{col 14}{res}{space 2} .2302945{col 26}{space 2} .1911458{col 37}{space 1}    1.20{col 46}{space 3}0.228{col 54}{space 4}-.1444067{col 67}{space 3} .6049958
{txt}{space 7}_cons {c |}{col 14}{res}{space 2}-.6419947{col 26}{space 2} .1519462{col 37}{space 1}   -4.23{col 46}{space 3}0.000{col 54}{space 4}-.9398534{col 67}{space 3} -.344136
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

Parente-Santos Silva test for intra-cluster correlation
         Ho: No intra-cluster correlation

            T{col 17}=  {res} 9.939
{txt}         P>|T|  =  {res} 0.000
{txt}i.district{col 19}_Idistrict_1-16{col 39}(naturally coded; _Idistrict_1 omitted)
note: b_patsat_z_d omitted because of collinearity
{res}
{txt}.2 Quantile regression
R-squared = {res}.04000068
{txt}Number of obs = {res}7288
{txt}Objective function = {res}.16763895

{txt}Standard errors adjusted for {res}187{txt} clusters in hc_id
{res}{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}  e_patsat_z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2} .0791025{col 26}{space 2} .0309018{col 37}{space 1}    2.56{col 46}{space 3}0.010{col 54}{space 4}  .018526{col 67}{space 3} .1396789
{txt}{space 2}b_patsat_z {c |}{col 14}{res}{space 2} .1619021{col 26}{space 2} .0276353{col 37}{space 1}    5.86{col 46}{space 3}0.000{col 54}{space 4} .1077289{col 67}{space 3} .2160753
{txt}b_patsat_z_d {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 1}c_tfull_hc2 {c |}{col 14}{res}{space 2} .0368082{col 26}{space 2} .0522661{col 37}{space 1}    0.70{col 46}{space 3}0.481{col 54}{space 4}-.0656485{col 67}{space 3} .1392649
{txt}c_tfull_b_~l {c |}{col 14}{res}{space 2} .1328275{col 26}{space 2} .0607315{col 37}{space 1}    2.19{col 46}{space 3}0.029{col 54}{space 4}  .013776{col 67}{space 3} .2518789
{txt}c_tfull_b_~s {c |}{col 14}{res}{space 2} .0358723{col 26}{space 2} .0816641{col 37}{space 1}    0.44{col 46}{space 3}0.660{col 54}{space 4}-.1242131{col 67}{space 3} .1959578
{txt}c_tfull_b_~d {c |}{col 14}{res}{space 2}   .03752{col 26}{space 2} .0726765{col 37}{space 1}    0.52{col 46}{space 3}0.606{col 54}{space 4} -.104947{col 67}{space 3}  .179987
{txt}c_tfull_ed~r {c |}{col 14}{res}{space 2} .0019221{col 26}{space 2}  .003283{col 37}{space 1}    0.59{col 46}{space 3}0.558{col 54}{space 4}-.0045136{col 67}{space 3} .0083578
{txt}c_tfull_b_~x {c |}{col 14}{res}{space 2} .0107461{col 26}{space 2} .0118517{col 37}{space 1}    0.91{col 46}{space 3}0.365{col 54}{space 4}-.0124867{col 67}{space 3}  .033979
{txt}c_trea~l_hc2 {c |}{col 14}{res}{space 2}-.1530274{col 26}{space 2} .0748272{col 37}{space 1}   -2.05{col 46}{space 3}0.041{col 54}{space 4}-.2997106{col 67}{space 3}-.0063442
{txt}c_treatful.. {c |}{col 14}{res}{space 2}-.2021263{col 26}{space 2} .0794759{col 37}{space 1}   -2.54{col 46}{space 3}0.011{col 54}{space 4}-.3579222{col 67}{space 3}-.0463304
{txt}c_treatful.. {c |}{col 14}{res}{space 2}-.0327941{col 26}{space 2} .0883825{col 37}{space 1}   -0.37{col 46}{space 3}0.711{col 54}{space 4}-.2060495{col 67}{space 3} .1404613
{txt}c_treatful.. {c |}{col 14}{res}{space 2}-.0366194{col 26}{space 2} .0773604{col 37}{space 1}   -0.47{col 46}{space 3}0.636{col 54}{space 4}-.1882682{col 67}{space 3} .1150295
{txt}c_treatful.. {c |}{col 14}{res}{space 2} .0055394{col 26}{space 2} .0046068{col 37}{space 1}    1.20{col 46}{space 3}0.229{col 54}{space 4}-.0034914{col 67}{space 3} .0145701
{txt}c_treatful.. {c |}{col 14}{res}{space 2}-.0356983{col 26}{space 2} .0177014{col 37}{space 1}   -2.02{col 46}{space 3}0.044{col 54}{space 4}-.0703982{col 67}{space 3}-.0009983
{txt}_Idistrict_2 {c |}{col 14}{res}{space 2} .0085609{col 26}{space 2} .0489615{col 37}{space 1}    0.17{col 46}{space 3}0.861{col 54}{space 4}-.0874178{col 67}{space 3} .1045396
{txt}_Idistrict_3 {c |}{col 14}{res}{space 2}-.1154559{col 26}{space 2}  .108541{col 37}{space 1}   -1.06{col 46}{space 3}0.287{col 54}{space 4}-.3282278{col 67}{space 3}  .097316
{txt}_Idistrict_4 {c |}{col 14}{res}{space 2}-.1561591{col 26}{space 2} .0958468{col 37}{space 1}   -1.63{col 46}{space 3}0.103{col 54}{space 4}-.3440468{col 67}{space 3} .0317285
{txt}_Idistrict_5 {c |}{col 14}{res}{space 2}-.0955312{col 26}{space 2} .0914072{col 37}{space 1}   -1.05{col 46}{space 3}0.296{col 54}{space 4}-.2747159{col 67}{space 3} .0836536
{txt}_Idistrict_6 {c |}{col 14}{res}{space 2} .0143126{col 26}{space 2} .1261309{col 37}{space 1}    0.11{col 46}{space 3}0.910{col 54}{space 4}-.2329407{col 67}{space 3} .2615658
{txt}_Idistrict_7 {c |}{col 14}{res}{space 2} .0122808{col 26}{space 2} .0581249{col 37}{space 1}    0.21{col 46}{space 3}0.833{col 54}{space 4}-.1016609{col 67}{space 3} .1262224
{txt}_Idistrict_8 {c |}{col 14}{res}{space 2}  .052593{col 26}{space 2} .0471426{col 37}{space 1}    1.12{col 46}{space 3}0.265{col 54}{space 4}-.0398203{col 67}{space 3} .1450063
{txt}_Idistrict_9 {c |}{col 14}{res}{space 2}-.0136191{col 26}{space 2} .0800447{col 37}{space 1}   -0.17{col 46}{space 3}0.865{col 54}{space 4}  -.17053{col 67}{space 3} .1432918
{txt}_Idistric~10 {c |}{col 14}{res}{space 2}-.1821035{col 26}{space 2}  .095133{col 37}{space 1}   -1.91{col 46}{space 3}0.056{col 54}{space 4}-.3685919{col 67}{space 3} .0043849
{txt}_Idistric~11 {c |}{col 14}{res}{space 2}-.1006256{col 26}{space 2} .0880703{col 37}{space 1}   -1.14{col 46}{space 3}0.253{col 54}{space 4} -.273269{col 67}{space 3} .0720178
{txt}_Idistric~12 {c |}{col 14}{res}{space 2}-.1478517{col 26}{space 2} .0619219{col 37}{space 1}   -2.39{col 46}{space 3}0.017{col 54}{space 4}-.2692367{col 67}{space 3}-.0264667
{txt}_Idistric~13 {c |}{col 14}{res}{space 2}-.1342867{col 26}{space 2} .0735244{col 37}{space 1}   -1.83{col 46}{space 3}0.068{col 54}{space 4}-.2784159{col 67}{space 3} .0098426
{txt}_Idistric~14 {c |}{col 14}{res}{space 2} .0470992{col 26}{space 2} .0728455{col 37}{space 1}    0.65{col 46}{space 3}0.518{col 54}{space 4}-.0956992{col 67}{space 3} .1898976
{txt}_Idistric~15 {c |}{col 14}{res}{space 2}-.0761369{col 26}{space 2} .0735452{col 37}{space 1}   -1.04{col 46}{space 3}0.301{col 54}{space 4}-.2203069{col 67}{space 3} .0680332
{txt}_Idistric~16 {c |}{col 14}{res}{space 2}-.0112887{col 26}{space 2} .0896051{col 37}{space 1}   -0.13{col 46}{space 3}0.900{col 54}{space 4}-.1869409{col 67}{space 3} .1643634
{txt}{space 7}_cons {c |}{col 14}{res}{space 2}-.1561707{col 26}{space 2} .0431423{col 37}{space 1}   -3.62{col 46}{space 3}0.000{col 54}{space 4}-.2407421{col 67}{space 3}-.0715993
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

Parente-Santos Silva test for intra-cluster correlation
         Ho: No intra-cluster correlation

            T{col 17}=  {res}23.439
{txt}         P>|T|  =  {res} 0.000
{txt}i.district{col 19}_Idistrict_1-16{col 39}(naturally coded; _Idistrict_1 omitted)
note: b_patsat_z_d omitted because of collinearity
{res}
{txt}.3 Quantile regression
R-squared = {res}.0366621
{txt}Number of obs = {res}7288
{txt}Objective function = {res}.18220004

{txt}Standard errors adjusted for {res}187{txt} clusters in hc_id
{res}{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}  e_patsat_z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2} .0525085{col 26}{space 2} .0202163{col 37}{space 1}    2.60{col 46}{space 3}0.009{col 54}{space 4} .0128787{col 67}{space 3} .0921383
{txt}{space 2}b_patsat_z {c |}{col 14}{res}{space 2} .1188133{col 26}{space 2} .0146566{col 37}{space 1}    8.11{col 46}{space 3}0.000{col 54}{space 4}  .090082{col 67}{space 3} .1475445
{txt}b_patsat_z_d {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 1}c_tfull_hc2 {c |}{col 14}{res}{space 2}-.0084793{col 26}{space 2} .0282545{col 37}{space 1}   -0.30{col 46}{space 3}0.764{col 54}{space 4}-.0638665{col 67}{space 3} .0469078
{txt}c_tfull_b_~l {c |}{col 14}{res}{space 2} .0606604{col 26}{space 2} .0442169{col 37}{space 1}    1.37{col 46}{space 3}0.170{col 54}{space 4}-.0260175{col 67}{space 3} .1473384
{txt}c_tfull_b_~s {c |}{col 14}{res}{space 2} .0467686{col 26}{space 2} .0686737{col 37}{space 1}    0.68{col 46}{space 3}0.496{col 54}{space 4}-.0878518{col 67}{space 3} .1813891
{txt}c_tfull_b_~d {c |}{col 14}{res}{space 2} .0281234{col 26}{space 2} .0469455{col 37}{space 1}    0.60{col 46}{space 3}0.549{col 54}{space 4}-.0639034{col 67}{space 3} .1201502
{txt}c_tfull_ed~r {c |}{col 14}{res}{space 2} .0010163{col 26}{space 2} .0018768{col 37}{space 1}    0.54{col 46}{space 3}0.588{col 54}{space 4}-.0026627{col 67}{space 3} .0046953
{txt}c_tfull_b_~x {c |}{col 14}{res}{space 2} .0012011{col 26}{space 2} .0109052{col 37}{space 1}    0.11{col 46}{space 3}0.912{col 54}{space 4}-.0201762{col 67}{space 3} .0225784
{txt}c_trea~l_hc2 {c |}{col 14}{res}{space 2}-.0476355{col 26}{space 2} .0363304{col 37}{space 1}   -1.31{col 46}{space 3}0.190{col 54}{space 4}-.1188536{col 67}{space 3} .0235827
{txt}c_treatful.. {c |}{col 14}{res}{space 2}-.0850872{col 26}{space 2} .0506842{col 37}{space 1}   -1.68{col 46}{space 3}0.093{col 54}{space 4} -.184443{col 67}{space 3} .0142685
{txt}c_treatful.. {c |}{col 14}{res}{space 2}-.0472918{col 26}{space 2} .0833853{col 37}{space 1}   -0.57{col 46}{space 3}0.571{col 54}{space 4}-.2107511{col 67}{space 3} .1161676
{txt}c_treatful.. {c |}{col 14}{res}{space 2} .0211535{col 26}{space 2} .0651575{col 37}{space 1}    0.32{col 46}{space 3}0.745{col 54}{space 4}-.1065742{col 67}{space 3} .1488812
{txt}c_treatful.. {c |}{col 14}{res}{space 2} .0020692{col 26}{space 2} .0025792{col 37}{space 1}    0.80{col 46}{space 3}0.422{col 54}{space 4}-.0029868{col 67}{space 3} .0071253
{txt}c_treatful.. {c |}{col 14}{res}{space 2} -.014095{col 26}{space 2} .0136298{col 37}{space 1}   -1.03{col 46}{space 3}0.301{col 54}{space 4}-.0408134{col 67}{space 3} .0126235
{txt}_Idistrict_2 {c |}{col 14}{res}{space 2} .0125221{col 26}{space 2} .0374675{col 37}{space 1}    0.33{col 46}{space 3}0.738{col 54}{space 4}-.0609251{col 67}{space 3} .0859694
{txt}_Idistrict_3 {c |}{col 14}{res}{space 2}-.0351886{col 26}{space 2} .0495764{col 37}{space 1}   -0.71{col 46}{space 3}0.478{col 54}{space 4}-.1323728{col 67}{space 3} .0619956
{txt}_Idistrict_4 {c |}{col 14}{res}{space 2}-.0347524{col 26}{space 2} .0393021{col 37}{space 1}   -0.88{col 46}{space 3}0.377{col 54}{space 4}-.1117958{col 67}{space 3} .0422911
{txt}_Idistrict_5 {c |}{col 14}{res}{space 2}-.0298559{col 26}{space 2} .0382533{col 37}{space 1}   -0.78{col 46}{space 3}0.435{col 54}{space 4}-.1048435{col 67}{space 3} .0451317
{txt}_Idistrict_6 {c |}{col 14}{res}{space 2} .0336304{col 26}{space 2} .0538773{col 37}{space 1}    0.62{col 46}{space 3}0.533{col 54}{space 4}-.0719848{col 67}{space 3} .1392456
{txt}_Idistrict_7 {c |}{col 14}{res}{space 2}-.0104568{col 26}{space 2} .0357084{col 37}{space 1}   -0.29{col 46}{space 3}0.770{col 54}{space 4}-.0804555{col 67}{space 3}  .059542
{txt}_Idistrict_8 {c |}{col 14}{res}{space 2} .0377754{col 26}{space 2}   .03266{col 37}{space 1}    1.16{col 46}{space 3}0.247{col 54}{space 4}-.0262477{col 67}{space 3} .1017985
{txt}_Idistrict_9 {c |}{col 14}{res}{space 2} -.037081{col 26}{space 2} .0424437{col 37}{space 1}   -0.87{col 46}{space 3}0.382{col 54}{space 4}-.1202831{col 67}{space 3}  .046121
{txt}_Idistric~10 {c |}{col 14}{res}{space 2}-.1151971{col 26}{space 2} .0503394{col 37}{space 1}   -2.29{col 46}{space 3}0.022{col 54}{space 4}-.2138769{col 67}{space 3}-.0165172
{txt}_Idistric~11 {c |}{col 14}{res}{space 2}-.0575066{col 26}{space 2} .0645032{col 37}{space 1}   -0.89{col 46}{space 3}0.373{col 54}{space 4}-.1839517{col 67}{space 3} .0689385
{txt}_Idistric~12 {c |}{col 14}{res}{space 2} -.082074{col 26}{space 2} .0415722{col 37}{space 1}   -1.97{col 46}{space 3}0.048{col 54}{space 4}-.1635676{col 67}{space 3}-.0005804
{txt}_Idistric~13 {c |}{col 14}{res}{space 2}-.0590525{col 26}{space 2} .0402358{col 37}{space 1}   -1.47{col 46}{space 3}0.142{col 54}{space 4}-.1379263{col 67}{space 3} .0198213
{txt}_Idistric~14 {c |}{col 14}{res}{space 2} .0090946{col 26}{space 2} .0653668{col 37}{space 1}    0.14{col 46}{space 3}0.889{col 54}{space 4}-.1190434{col 67}{space 3} .1372325
{txt}_Idistric~15 {c |}{col 14}{res}{space 2}-.0590095{col 26}{space 2} .0521572{col 37}{space 1}   -1.13{col 46}{space 3}0.258{col 54}{space 4}-.1612529{col 67}{space 3} .0432338
{txt}_Idistric~16 {c |}{col 14}{res}{space 2} .0074241{col 26}{space 2} .0799532{col 37}{space 1}    0.09{col 46}{space 3}0.926{col 54}{space 4}-.1493074{col 67}{space 3} .1641556
{txt}{space 7}_cons {c |}{col 14}{res}{space 2}-.0431137{col 26}{space 2} .0264593{col 37}{space 1}   -1.63{col 46}{space 3}0.103{col 54}{space 4}-.0949816{col 67}{space 3} .0087543
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

Parente-Santos Silva test for intra-cluster correlation
         Ho: No intra-cluster correlation

            T{col 17}=  {res}26.842
{txt}         P>|T|  =  {res} 0.000
{txt}i.district{col 19}_Idistrict_1-16{col 39}(naturally coded; _Idistrict_1 omitted)
note: b_patsat_z_d omitted because of collinearity
{res}
{txt}.4 Quantile regression
R-squared = {res}.0336263
{txt}Number of obs = {res}7288
{txt}Objective function = {res}.18635011

{txt}Standard errors adjusted for {res}187{txt} clusters in hc_id
{res}{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}  e_patsat_z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2} .0641137{col 26}{space 2} .0220324{col 37}{space 1}    2.91{col 46}{space 3}0.004{col 54}{space 4} .0209237{col 67}{space 3} .1073036
{txt}{space 2}b_patsat_z {c |}{col 14}{res}{space 2} .0972868{col 26}{space 2} .0155449{col 37}{space 1}    6.26{col 46}{space 3}0.000{col 54}{space 4} .0668144{col 67}{space 3} .1277592
{txt}b_patsat_z_d {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 1}c_tfull_hc2 {c |}{col 14}{res}{space 2}-.0203915{col 26}{space 2} .0308495{col 37}{space 1}   -0.66{col 46}{space 3}0.509{col 54}{space 4}-.0808656{col 67}{space 3} .0400825
{txt}c_tfull_b_~l {c |}{col 14}{res}{space 2} .0666793{col 26}{space 2} .0469372{col 37}{space 1}    1.42{col 46}{space 3}0.155{col 54}{space 4}-.0253312{col 67}{space 3} .1586899
{txt}c_tfull_b_~s {c |}{col 14}{res}{space 2} .0129895{col 26}{space 2} .0635717{col 37}{space 1}    0.20{col 46}{space 3}0.838{col 54}{space 4}-.1116295{col 67}{space 3} .1376085
{txt}c_tfull_b_~d {c |}{col 14}{res}{space 2} .0322209{col 26}{space 2} .0518849{col 37}{space 1}    0.62{col 46}{space 3}0.535{col 54}{space 4}-.0694886{col 67}{space 3} .1339304
{txt}c_tfull_ed~r {c |}{col 14}{res}{space 2}-8.95e-06{col 26}{space 2} .0019625{col 37}{space 1}   -0.00{col 46}{space 3}0.996{col 54}{space 4} -.003856{col 67}{space 3} .0038381
{txt}c_tfull_b_~x {c |}{col 14}{res}{space 2} .0005677{col 26}{space 2} .0087057{col 37}{space 1}    0.07{col 46}{space 3}0.948{col 54}{space 4}-.0164979{col 67}{space 3} .0176333
{txt}c_trea~l_hc2 {c |}{col 14}{res}{space 2}-.0564521{col 26}{space 2} .0419035{col 37}{space 1}   -1.35{col 46}{space 3}0.178{col 54}{space 4}-.1385952{col 67}{space 3}  .025691
{txt}c_treatful.. {c |}{col 14}{res}{space 2}-.0981692{col 26}{space 2} .0669448{col 37}{space 1}   -1.47{col 46}{space 3}0.143{col 54}{space 4}-.2294004{col 67}{space 3}  .033062
{txt}c_treatful.. {c |}{col 14}{res}{space 2} -.011238{col 26}{space 2} .0705036{col 37}{space 1}   -0.16{col 46}{space 3}0.873{col 54}{space 4}-.1494455{col 67}{space 3} .1269695
{txt}c_treatful.. {c |}{col 14}{res}{space 2} .0209858{col 26}{space 2} .0632358{col 37}{space 1}    0.33{col 46}{space 3}0.740{col 54}{space 4}-.1029748{col 67}{space 3} .1449464
{txt}c_treatful.. {c |}{col 14}{res}{space 2} .0010934{col 26}{space 2} .0029798{col 37}{space 1}    0.37{col 46}{space 3}0.714{col 54}{space 4}-.0047478{col 67}{space 3} .0069346
{txt}c_treatful.. {c |}{col 14}{res}{space 2}-.0122806{col 26}{space 2} .0111283{col 37}{space 1}   -1.10{col 46}{space 3}0.270{col 54}{space 4}-.0340953{col 67}{space 3}  .009534
{txt}_Idistrict_2 {c |}{col 14}{res}{space 2} .1253442{col 26}{space 2} .0789089{col 37}{space 1}    1.59{col 46}{space 3}0.112{col 54}{space 4}-.0293402{col 67}{space 3} .2800286
{txt}_Idistrict_3 {c |}{col 14}{res}{space 2}-.0142993{col 26}{space 2} .0581664{col 37}{space 1}   -0.25{col 46}{space 3}0.806{col 54}{space 4}-.1283225{col 67}{space 3} .0997239
{txt}_Idistrict_4 {c |}{col 14}{res}{space 2}-.0472012{col 26}{space 2} .0568016{col 37}{space 1}   -0.83{col 46}{space 3}0.406{col 54}{space 4}-.1585489{col 67}{space 3} .0641465
{txt}_Idistrict_5 {c |}{col 14}{res}{space 2}-.0466583{col 26}{space 2} .0594548{col 37}{space 1}   -0.78{col 46}{space 3}0.433{col 54}{space 4} -.163207{col 67}{space 3} .0698904
{txt}_Idistrict_6 {c |}{col 14}{res}{space 2} .0959886{col 26}{space 2} .1388383{col 37}{space 1}    0.69{col 46}{space 3}0.489{col 54}{space 4}-.1761749{col 67}{space 3} .3681522
{txt}_Idistrict_7 {c |}{col 14}{res}{space 2}-.0295751{col 26}{space 2} .0573381{col 37}{space 1}   -0.52{col 46}{space 3}0.606{col 54}{space 4}-.1419746{col 67}{space 3} .0828243
{txt}_Idistrict_8 {c |}{col 14}{res}{space 2} .0709116{col 26}{space 2} .0493007{col 37}{space 1}    1.44{col 46}{space 3}0.150{col 54}{space 4} -.025732{col 67}{space 3} .1675552
{txt}_Idistrict_9 {c |}{col 14}{res}{space 2}-.0295692{col 26}{space 2} .0544116{col 37}{space 1}   -0.54{col 46}{space 3}0.587{col 54}{space 4}-.1362318{col 67}{space 3} .0770934
{txt}_Idistric~10 {c |}{col 14}{res}{space 2} -.105817{col 26}{space 2} .0588179{col 37}{space 1}   -1.80{col 46}{space 3}0.072{col 54}{space 4}-.2211173{col 67}{space 3} .0094832
{txt}_Idistric~11 {c |}{col 14}{res}{space 2}-.0109493{col 26}{space 2} .0678214{col 37}{space 1}   -0.16{col 46}{space 3}0.872{col 54}{space 4}-.1438989{col 67}{space 3} .1220004
{txt}_Idistric~12 {c |}{col 14}{res}{space 2}-.0957633{col 26}{space 2} .0665764{col 37}{space 1}   -1.44{col 46}{space 3}0.150{col 54}{space 4}-.2262723{col 67}{space 3} .0347457
{txt}_Idistric~13 {c |}{col 14}{res}{space 2}-.0586278{col 26}{space 2} .0568512{col 37}{space 1}   -1.03{col 46}{space 3}0.302{col 54}{space 4}-.1700726{col 67}{space 3}  .052817
{txt}_Idistric~14 {c |}{col 14}{res}{space 2} .0824538{col 26}{space 2}  .077859{col 37}{space 1}    1.06{col 46}{space 3}0.290{col 54}{space 4}-.0701724{col 67}{space 3} .2350801
{txt}_Idistric~15 {c |}{col 14}{res}{space 2}-.0778677{col 26}{space 2} .0585112{col 37}{space 1}   -1.33{col 46}{space 3}0.183{col 54}{space 4}-.1925667{col 67}{space 3} .0368313
{txt}_Idistric~16 {c |}{col 14}{res}{space 2} .0184702{col 26}{space 2} .0736193{col 37}{space 1}    0.25{col 46}{space 3}0.802{col 54}{space 4} -.125845{col 67}{space 3} .1627854
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} .0280676{col 26}{space 2}  .046327{col 37}{space 1}    0.61{col 46}{space 3}0.545{col 54}{space 4}-.0627468{col 67}{space 3} .1188819
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

Parente-Santos Silva test for intra-cluster correlation
         Ho: No intra-cluster correlation

            T{col 17}=  {res}25.505
{txt}         P>|T|  =  {res} 0.000
{txt}i.district{col 19}_Idistrict_1-16{col 39}(naturally coded; _Idistrict_1 omitted)
note: b_patsat_z_d omitted because of collinearity
{res}
{txt}Median regression
R-squared = {res}.02903456
{txt}Number of obs = {res}7288
{txt}Objective function = {res}.18020667

{txt}Standard errors adjusted for {res}187{txt} clusters in hc_id
{res}{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}  e_patsat_z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2} .0485754{col 26}{space 2} .0229063{col 37}{space 1}    2.12{col 46}{space 3}0.034{col 54}{space 4} .0036724{col 67}{space 3} .0934785
{txt}{space 2}b_patsat_z {c |}{col 14}{res}{space 2} .0977699{col 26}{space 2} .0104653{col 37}{space 1}    9.34{col 46}{space 3}0.000{col 54}{space 4} .0772548{col 67}{space 3}  .118285
{txt}b_patsat_z_d {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 1}c_tfull_hc2 {c |}{col 14}{res}{space 2}-.0614871{col 26}{space 2}  .035125{col 37}{space 1}   -1.75{col 46}{space 3}0.080{col 54}{space 4}-.1303423{col 67}{space 3} .0073682
{txt}c_tfull_b_~l {c |}{col 14}{res}{space 2} .0511334{col 26}{space 2} .0483047{col 37}{space 1}    1.06{col 46}{space 3}0.290{col 54}{space 4}-.0435579{col 67}{space 3} .1458246
{txt}c_tfull_b_~s {c |}{col 14}{res}{space 2}-.0024475{col 26}{space 2} .0623897{col 37}{space 1}   -0.04{col 46}{space 3}0.969{col 54}{space 4}-.1247494{col 67}{space 3} .1198543
{txt}c_tfull_b_~d {c |}{col 14}{res}{space 2} .0679242{col 26}{space 2} .0590644{col 37}{space 1}    1.15{col 46}{space 3}0.250{col 54}{space 4}-.0478592{col 67}{space 3} .1837075
{txt}c_tfull_ed~r {c |}{col 14}{res}{space 2}-.0001413{col 26}{space 2} .0022798{col 37}{space 1}   -0.06{col 46}{space 3}0.951{col 54}{space 4}-.0046104{col 67}{space 3} .0043277
{txt}c_tfull_b_~x {c |}{col 14}{res}{space 2}-.0014811{col 26}{space 2} .0095221{col 37}{space 1}   -0.16{col 46}{space 3}0.876{col 54}{space 4}-.0201471{col 67}{space 3} .0171849
{txt}c_trea~l_hc2 {c |}{col 14}{res}{space 2}  -.01832{col 26}{space 2} .0452906{col 37}{space 1}   -0.40{col 46}{space 3}0.686{col 54}{space 4}-.1071029{col 67}{space 3} .0704628
{txt}c_treatful.. {c |}{col 14}{res}{space 2}-.0885373{col 26}{space 2} .0622128{col 37}{space 1}   -1.42{col 46}{space 3}0.155{col 54}{space 4}-.2104924{col 67}{space 3} .0334178
{txt}c_treatful.. {c |}{col 14}{res}{space 2}-.0195611{col 26}{space 2} .0868308{col 37}{space 1}   -0.23{col 46}{space 3}0.822{col 54}{space 4}-.1897746{col 67}{space 3} .1506525
{txt}c_treatful.. {c |}{col 14}{res}{space 2} .0036975{col 26}{space 2} .0649885{col 37}{space 1}    0.06{col 46}{space 3}0.955{col 54}{space 4}-.1236989{col 67}{space 3} .1310939
{txt}c_treatful.. {c |}{col 14}{res}{space 2}  .001401{col 26}{space 2} .0029761{col 37}{space 1}    0.47{col 46}{space 3}0.638{col 54}{space 4}-.0044329{col 67}{space 3}  .007235
{txt}c_treatful.. {c |}{col 14}{res}{space 2}-.0119972{col 26}{space 2} .0129705{col 37}{space 1}   -0.92{col 46}{space 3}0.355{col 54}{space 4}-.0374232{col 67}{space 3} .0134287
{txt}_Idistrict_2 {c |}{col 14}{res}{space 2} .0410048{col 26}{space 2} .0331667{col 37}{space 1}    1.24{col 46}{space 3}0.216{col 54}{space 4}-.0240115{col 67}{space 3} .1060212
{txt}_Idistrict_3 {c |}{col 14}{res}{space 2}-.0184642{col 26}{space 2} .0489651{col 37}{space 1}   -0.38{col 46}{space 3}0.706{col 54}{space 4}  -.11445{col 67}{space 3} .0775217
{txt}_Idistrict_4 {c |}{col 14}{res}{space 2}-.1370969{col 26}{space 2} .0464773{col 37}{space 1}   -2.95{col 46}{space 3}0.003{col 54}{space 4}-.2282059{col 67}{space 3}-.0459879
{txt}_Idistrict_5 {c |}{col 14}{res}{space 2}-.0195898{col 26}{space 2} .0447302{col 37}{space 1}   -0.44{col 46}{space 3}0.661{col 54}{space 4}-.1072739{col 67}{space 3} .0680944
{txt}_Idistrict_6 {c |}{col 14}{res}{space 2} .0218296{col 26}{space 2} .0315468{col 37}{space 1}    0.69{col 46}{space 3}0.489{col 54}{space 4}-.0400114{col 67}{space 3} .0836705
{txt}_Idistrict_7 {c |}{col 14}{res}{space 2} .0191217{col 26}{space 2} .0356453{col 37}{space 1}    0.54{col 46}{space 3}0.592{col 54}{space 4}-.0507535{col 67}{space 3} .0889969
{txt}_Idistrict_8 {c |}{col 14}{res}{space 2} .0072095{col 26}{space 2} .0299754{col 37}{space 1}    0.24{col 46}{space 3}0.810{col 54}{space 4}-.0515509{col 67}{space 3} .0659699
{txt}_Idistrict_9 {c |}{col 14}{res}{space 2}-.1034908{col 26}{space 2} .0441533{col 37}{space 1}   -2.34{col 46}{space 3}0.019{col 54}{space 4}-.1900442{col 67}{space 3}-.0169375
{txt}_Idistric~10 {c |}{col 14}{res}{space 2}-.1701202{col 26}{space 2} .0627883{col 37}{space 1}   -2.71{col 46}{space 3}0.007{col 54}{space 4}-.2932035{col 67}{space 3}-.0470369
{txt}_Idistric~11 {c |}{col 14}{res}{space 2}-.0416118{col 26}{space 2} .0566519{col 37}{space 1}   -0.73{col 46}{space 3}0.463{col 54}{space 4} -.152666{col 67}{space 3} .0694423
{txt}_Idistric~12 {c |}{col 14}{res}{space 2}-.1488993{col 26}{space 2} .0669676{col 37}{space 1}   -2.22{col 46}{space 3}0.026{col 54}{space 4}-.2801753{col 67}{space 3}-.0176232
{txt}_Idistric~13 {c |}{col 14}{res}{space 2}-.1509475{col 26}{space 2} .0448063{col 37}{space 1}   -3.37{col 46}{space 3}0.001{col 54}{space 4}-.2387809{col 67}{space 3}-.0631141
{txt}_Idistric~14 {c |}{col 14}{res}{space 2} .0036684{col 26}{space 2} .0451784{col 37}{space 1}    0.08{col 46}{space 3}0.935{col 54}{space 4}-.0848943{col 67}{space 3} .0922312
{txt}_Idistric~15 {c |}{col 14}{res}{space 2}-.1428623{col 26}{space 2} .0511171{col 37}{space 1}   -2.79{col 46}{space 3}0.005{col 54}{space 4}-.2430668{col 67}{space 3}-.0426578
{txt}_Idistric~16 {c |}{col 14}{res}{space 2}-.0298228{col 26}{space 2} .0832179{col 37}{space 1}   -0.36{col 46}{space 3}0.720{col 54}{space 4}-.1929541{col 67}{space 3} .1333085
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} .1970896{col 26}{space 2} .0304446{col 37}{space 1}    6.47{col 46}{space 3}0.000{col 54}{space 4} .1374094{col 67}{space 3} .2567698
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

Parente-Santos Silva test for intra-cluster correlation
         Ho: No intra-cluster correlation

            T{col 17}=  {res}25.475
{txt}         P>|T|  =  {res} 0.000
{txt}i.district{col 19}_Idistrict_1-16{col 39}(naturally coded; _Idistrict_1 omitted)
note: b_patsat_z_d omitted because of collinearity
{res}
{txt}.6 Quantile regression
R-squared = {res}.02616272
{txt}Number of obs = {res}7288
{txt}Objective function = {res}.16328474

{txt}Standard errors adjusted for {res}187{txt} clusters in hc_id
{res}{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}  e_patsat_z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2} .0273193{col 26}{space 2} .0174095{col 37}{space 1}    1.57{col 46}{space 3}0.117{col 54}{space 4}-.0068085{col 67}{space 3}  .061447
{txt}{space 2}b_patsat_z {c |}{col 14}{res}{space 2} .0794832{col 26}{space 2} .0148129{col 37}{space 1}    5.37{col 46}{space 3}0.000{col 54}{space 4} .0504456{col 67}{space 3} .1085208
{txt}b_patsat_z_d {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 1}c_tfull_hc2 {c |}{col 14}{res}{space 2}-.0257639{col 26}{space 2} .0229367{col 37}{space 1}   -1.12{col 46}{space 3}0.261{col 54}{space 4}-.0707266{col 67}{space 3} .0191987
{txt}c_tfull_b_~l {c |}{col 14}{res}{space 2} .0360303{col 26}{space 2} .0467901{col 37}{space 1}    0.77{col 46}{space 3}0.441{col 54}{space 4}-.0556918{col 67}{space 3} .1277525
{txt}c_tfull_b_~s {c |}{col 14}{res}{space 2} .0126017{col 26}{space 2} .0795567{col 37}{space 1}    0.16{col 46}{space 3}0.874{col 54}{space 4}-.1433527{col 67}{space 3}  .168556
{txt}c_tfull_b_~d {c |}{col 14}{res}{space 2} .1035178{col 26}{space 2} .0632438{col 37}{space 1}    1.64{col 46}{space 3}0.102{col 54}{space 4}-.0204585{col 67}{space 3} .2274941
{txt}c_tfull_ed~r {c |}{col 14}{res}{space 2} -.000471{col 26}{space 2} .0013116{col 37}{space 1}   -0.36{col 46}{space 3}0.720{col 54}{space 4}-.0030422{col 67}{space 3} .0021002
{txt}c_tfull_b_~x {c |}{col 14}{res}{space 2}-.0011487{col 26}{space 2} .0086389{col 37}{space 1}   -0.13{col 46}{space 3}0.894{col 54}{space 4}-.0180834{col 67}{space 3} .0157861
{txt}c_trea~l_hc2 {c |}{col 14}{res}{space 2}-.0018458{col 26}{space 2}  .027521{col 37}{space 1}   -0.07{col 46}{space 3}0.947{col 54}{space 4} -.055795{col 67}{space 3} .0521034
{txt}c_treatful.. {c |}{col 14}{res}{space 2}-.0427969{col 26}{space 2} .0480751{col 37}{space 1}   -0.89{col 46}{space 3}0.373{col 54}{space 4}-.1370381{col 67}{space 3} .0514444
{txt}c_treatful.. {c |}{col 14}{res}{space 2}-.0146668{col 26}{space 2}  .075845{col 37}{space 1}   -0.19{col 46}{space 3}0.847{col 54}{space 4} -.163345{col 67}{space 3} .1340115
{txt}c_treatful.. {c |}{col 14}{res}{space 2}-.0134377{col 26}{space 2} .0796333{col 37}{space 1}   -0.17{col 46}{space 3}0.866{col 54}{space 4}-.1695421{col 67}{space 3} .1426667
{txt}c_treatful.. {c |}{col 14}{res}{space 2} .0001959{col 26}{space 2} .0017713{col 37}{space 1}    0.11{col 46}{space 3}0.912{col 54}{space 4}-.0032763{col 67}{space 3}  .003668
{txt}c_treatful.. {c |}{col 14}{res}{space 2}-.0009899{col 26}{space 2}  .011161{col 37}{space 1}   -0.09{col 46}{space 3}0.929{col 54}{space 4}-.0228687{col 67}{space 3} .0208888
{txt}_Idistrict_2 {c |}{col 14}{res}{space 2} .0163661{col 26}{space 2} .0282119{col 37}{space 1}    0.58{col 46}{space 3}0.562{col 54}{space 4}-.0389375{col 67}{space 3} .0716698
{txt}_Idistrict_3 {c |}{col 14}{res}{space 2} .0040202{col 26}{space 2} .0284169{col 37}{space 1}    0.14{col 46}{space 3}0.887{col 54}{space 4}-.0516852{col 67}{space 3} .0597257
{txt}_Idistrict_4 {c |}{col 14}{res}{space 2}-.0234711{col 26}{space 2}  .029849{col 37}{space 1}   -0.79{col 46}{space 3}0.432{col 54}{space 4}-.0819839{col 67}{space 3} .0350417
{txt}_Idistrict_5 {c |}{col 14}{res}{space 2}  .002802{col 26}{space 2} .0283913{col 37}{space 1}    0.10{col 46}{space 3}0.921{col 54}{space 4}-.0528532{col 67}{space 3} .0584573
{txt}_Idistrict_6 {c |}{col 14}{res}{space 2} .0208093{col 26}{space 2} .0259644{col 37}{space 1}    0.80{col 46}{space 3}0.423{col 54}{space 4}-.0300885{col 67}{space 3} .0717072
{txt}_Idistrict_7 {c |}{col 14}{res}{space 2} .0059103{col 26}{space 2} .0260709{col 37}{space 1}    0.23{col 46}{space 3}0.821{col 54}{space 4}-.0451963{col 67}{space 3} .0570168
{txt}_Idistrict_8 {c |}{col 14}{res}{space 2} .0131031{col 26}{space 2} .0268104{col 37}{space 1}    0.49{col 46}{space 3}0.625{col 54}{space 4}-.0394531{col 67}{space 3} .0656593
{txt}_Idistrict_9 {c |}{col 14}{res}{space 2}-.0407141{col 26}{space 2} .0572911{col 37}{space 1}   -0.71{col 46}{space 3}0.477{col 54}{space 4}-.1530213{col 67}{space 3} .0715932
{txt}_Idistric~10 {c |}{col 14}{res}{space 2}-.0917022{col 26}{space 2} .0531157{col 37}{space 1}   -1.73{col 46}{space 3}0.084{col 54}{space 4}-.1958244{col 67}{space 3} .0124201
{txt}_Idistric~11 {c |}{col 14}{res}{space 2}-.0059937{col 26}{space 2} .0332087{col 37}{space 1}   -0.18{col 46}{space 3}0.857{col 54}{space 4}-.0710925{col 67}{space 3}  .059105
{txt}_Idistric~12 {c |}{col 14}{res}{space 2}-.0567799{col 26}{space 2} .0432979{col 37}{space 1}   -1.31{col 46}{space 3}0.190{col 54}{space 4}-.1416564{col 67}{space 3} .0280966
{txt}_Idistric~13 {c |}{col 14}{res}{space 2}-.1034946{col 26}{space 2}  .076229{col 37}{space 1}   -1.36{col 46}{space 3}0.175{col 54}{space 4}-.2529255{col 67}{space 3} .0459364
{txt}_Idistric~14 {c |}{col 14}{res}{space 2}  -.00322{col 26}{space 2} .0329792{col 37}{space 1}   -0.10{col 46}{space 3}0.922{col 54}{space 4}-.0678688{col 67}{space 3} .0614288
{txt}_Idistric~15 {c |}{col 14}{res}{space 2}-.0867924{col 26}{space 2} .0612353{col 37}{space 1}   -1.42{col 46}{space 3}0.156{col 54}{space 4}-.2068315{col 67}{space 3} .0332466
{txt}_Idistric~16 {c |}{col 14}{res}{space 2} .0111682{col 26}{space 2} .0451097{col 37}{space 1}    0.25{col 46}{space 3}0.804{col 54}{space 4}-.0772599{col 67}{space 3} .0995963
{txt}{space 7}_cons {c |}{col 14}{res}{space 2}  .265749{col 26}{space 2} .0284832{col 37}{space 1}    9.33{col 46}{space 3}0.000{col 54}{space 4} .2099136{col 67}{space 3} .3215844
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

Parente-Santos Silva test for intra-cluster correlation
         Ho: No intra-cluster correlation

            T{col 17}=  {res}20.885
{txt}         P>|T|  =  {res} 0.000
{txt}i.district{col 19}_Idistrict_1-16{col 39}(naturally coded; _Idistrict_1 omitted)
note: b_patsat_z_d omitted because of collinearity
{res}
{txt}.7 Quantile regression
R-squared = {res}.01842341
{txt}Number of obs = {res}7288
{txt}Objective function = {res}.13755545

{txt}Standard errors adjusted for {res}187{txt} clusters in hc_id
{res}{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}  e_patsat_z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2}  .006838{col 26}{space 2} .0075972{col 37}{space 1}    0.90{col 46}{space 3}0.368{col 54}{space 4}-.0080547{col 67}{space 3} .0217306
{txt}{space 2}b_patsat_z {c |}{col 14}{res}{space 2} .0154665{col 26}{space 2} .0038724{col 37}{space 1}    3.99{col 46}{space 3}0.000{col 54}{space 4} .0078754{col 67}{space 3} .0230576
{txt}b_patsat_z_d {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 1}c_tfull_hc2 {c |}{col 14}{res}{space 2}-.0066314{col 26}{space 2} .0109063{col 37}{space 1}   -0.61{col 46}{space 3}0.543{col 54}{space 4}-.0280108{col 67}{space 3}  .014748
{txt}c_tfull_b_~l {c |}{col 14}{res}{space 2} .0083702{col 26}{space 2} .0178643{col 37}{space 1}    0.47{col 46}{space 3}0.639{col 54}{space 4}-.0266491{col 67}{space 3} .0433895
{txt}c_tfull_b_~s {c |}{col 14}{res}{space 2}-.0036169{col 26}{space 2} .0235216{col 37}{space 1}   -0.15{col 46}{space 3}0.878{col 54}{space 4} -.049726{col 67}{space 3} .0424923
{txt}c_tfull_b_~d {c |}{col 14}{res}{space 2} .0375468{col 26}{space 2} .0334325{col 37}{space 1}    1.12{col 46}{space 3}0.261{col 54}{space 4}-.0279906{col 67}{space 3} .1030842
{txt}c_tfull_ed~r {c |}{col 14}{res}{space 2}-.0000165{col 26}{space 2} .0006028{col 37}{space 1}   -0.03{col 46}{space 3}0.978{col 54}{space 4}-.0011981{col 67}{space 3} .0011651
{txt}c_tfull_b_~x {c |}{col 14}{res}{space 2} .0008232{col 26}{space 2} .0033315{col 37}{space 1}    0.25{col 46}{space 3}0.805{col 54}{space 4}-.0057074{col 67}{space 3} .0073539
{txt}c_trea~l_hc2 {c |}{col 14}{res}{space 2}-.0046099{col 26}{space 2} .0138717{col 37}{space 1}   -0.33{col 46}{space 3}0.740{col 54}{space 4}-.0318024{col 67}{space 3} .0225827
{txt}c_treatful.. {c |}{col 14}{res}{space 2} -.009219{col 26}{space 2} .0188188{col 37}{space 1}   -0.49{col 46}{space 3}0.624{col 54}{space 4}-.0461094{col 67}{space 3} .0276714
{txt}c_treatful.. {c |}{col 14}{res}{space 2} .0037424{col 26}{space 2} .0239783{col 37}{space 1}    0.16{col 46}{space 3}0.876{col 54}{space 4}-.0432621{col 67}{space 3} .0507469
{txt}c_treatful.. {c |}{col 14}{res}{space 2} .0052818{col 26}{space 2} .0445044{col 37}{space 1}    0.12{col 46}{space 3}0.906{col 54}{space 4}-.0819597{col 67}{space 3} .0925233
{txt}c_treatful.. {c |}{col 14}{res}{space 2}-.0004035{col 26}{space 2} .0009832{col 37}{space 1}   -0.41{col 46}{space 3}0.682{col 54}{space 4}-.0023308{col 67}{space 3} .0015238
{txt}c_treatful.. {c |}{col 14}{res}{space 2}-.0015142{col 26}{space 2} .0048017{col 37}{space 1}   -0.32{col 46}{space 3}0.753{col 54}{space 4} -.010927{col 67}{space 3} .0078986
{txt}_Idistrict_2 {c |}{col 14}{res}{space 2} .0241587{col 26}{space 2} .0196664{col 37}{space 1}    1.23{col 46}{space 3}0.219{col 54}{space 4}-.0143932{col 67}{space 3} .0627106
{txt}_Idistrict_3 {c |}{col 14}{res}{space 2}  .003563{col 26}{space 2} .0159599{col 37}{space 1}    0.22{col 46}{space 3}0.823{col 54}{space 4}-.0277231{col 67}{space 3}  .034849
{txt}_Idistrict_4 {c |}{col 14}{res}{space 2}-.0079212{col 26}{space 2} .0134758{col 37}{space 1}   -0.59{col 46}{space 3}0.557{col 54}{space 4}-.0343378{col 67}{space 3} .0184954
{txt}_Idistrict_5 {c |}{col 14}{res}{space 2}-.0007745{col 26}{space 2} .0175363{col 37}{space 1}   -0.04{col 46}{space 3}0.965{col 54}{space 4}-.0351508{col 67}{space 3} .0336018
{txt}_Idistrict_6 {c |}{col 14}{res}{space 2} .0046163{col 26}{space 2} .0113374{col 37}{space 1}    0.41{col 46}{space 3}0.684{col 54}{space 4}-.0176083{col 67}{space 3} .0268409
{txt}_Idistrict_7 {c |}{col 14}{res}{space 2}-.0015001{col 26}{space 2} .0120197{col 37}{space 1}   -0.12{col 46}{space 3}0.901{col 54}{space 4}-.0250623{col 67}{space 3} .0220621
{txt}_Idistrict_8 {c |}{col 14}{res}{space 2} .0060041{col 26}{space 2} .0141759{col 37}{space 1}    0.42{col 46}{space 3}0.672{col 54}{space 4}-.0217848{col 67}{space 3}  .033793
{txt}_Idistrict_9 {c |}{col 14}{res}{space 2}-.0129405{col 26}{space 2} .0367561{col 37}{space 1}   -0.35{col 46}{space 3}0.725{col 54}{space 4}-.0849932{col 67}{space 3} .0591122
{txt}_Idistric~10 {c |}{col 14}{res}{space 2}-.0304361{col 26}{space 2} .0150067{col 37}{space 1}   -2.03{col 46}{space 3}0.043{col 54}{space 4}-.0598536{col 67}{space 3}-.0010187
{txt}_Idistric~11 {c |}{col 14}{res}{space 2}-.0130763{col 26}{space 2} .0155687{col 37}{space 1}   -0.84{col 46}{space 3}0.401{col 54}{space 4}-.0435955{col 67}{space 3} .0174428
{txt}_Idistric~12 {c |}{col 14}{res}{space 2}-.0284488{col 26}{space 2} .0195719{col 37}{space 1}   -1.45{col 46}{space 3}0.146{col 54}{space 4}-.0668155{col 67}{space 3} .0099179
{txt}_Idistric~13 {c |}{col 14}{res}{space 2}-.0289496{col 26}{space 2} .0149309{col 37}{space 1}   -1.94{col 46}{space 3}0.053{col 54}{space 4}-.0582184{col 67}{space 3} .0003193
{txt}_Idistric~14 {c |}{col 14}{res}{space 2} .0019819{col 26}{space 2} .0161102{col 37}{space 1}    0.12{col 46}{space 3}0.902{col 54}{space 4}-.0295987{col 67}{space 3} .0335626
{txt}_Idistric~15 {c |}{col 14}{res}{space 2}-.0277442{col 26}{space 2} .0200897{col 37}{space 1}   -1.38{col 46}{space 3}0.167{col 54}{space 4}-.0671258{col 67}{space 3} .0116375
{txt}_Idistric~16 {c |}{col 14}{res}{space 2} .0022643{col 26}{space 2} .0212093{col 37}{space 1}    0.11{col 46}{space 3}0.915{col 54}{space 4}-.0393122{col 67}{space 3} .0438407
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} .3263365{col 26}{space 2} .0112339{col 37}{space 1}   29.05{col 46}{space 3}0.000{col 54}{space 4} .3043148{col 67}{space 3} .3483583
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

Parente-Santos Silva test for intra-cluster correlation
         Ho: No intra-cluster correlation

            T{col 17}=  {res}16.027
{txt}         P>|T|  =  {res} 0.000
{txt}i.district{col 19}_Idistrict_1-16{col 39}(naturally coded; _Idistrict_1 omitted)
note: b_patsat_z_d omitted because of collinearity
{res}
{txt}.8 Quantile regression
R-squared = {res}.01525587
{txt}Number of obs = {res}7288
{txt}Objective function = {res}.10550269

{txt}Standard errors adjusted for {res}187{txt} clusters in hc_id
{res}{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}  e_patsat_z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2} .0268634{col 26}{space 2} .0167576{col 37}{space 1}    1.60{col 46}{space 3}0.109{col 54}{space 4}-.0059863{col 67}{space 3}  .059713
{txt}{space 2}b_patsat_z {c |}{col 14}{res}{space 2}  .039332{col 26}{space 2} .0117078{col 37}{space 1}    3.36{col 46}{space 3}0.001{col 54}{space 4} .0163814{col 67}{space 3} .0622826
{txt}b_patsat_z_d {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 1}c_tfull_hc2 {c |}{col 14}{res}{space 2}-.0661371{col 26}{space 2} .0354388{col 37}{space 1}   -1.87{col 46}{space 3}0.062{col 54}{space 4}-.1356075{col 67}{space 3} .0033333
{txt}c_tfull_b_~l {c |}{col 14}{res}{space 2} .0118002{col 26}{space 2} .0386024{col 37}{space 1}    0.31{col 46}{space 3}0.760{col 54}{space 4}-.0638717{col 67}{space 3} .0874722
{txt}c_tfull_b_~s {c |}{col 14}{res}{space 2}-.0310679{col 26}{space 2} .0381866{col 37}{space 1}   -0.81{col 46}{space 3}0.416{col 54}{space 4}-.1059246{col 67}{space 3} .0437889
{txt}c_tfull_b_~d {c |}{col 14}{res}{space 2} .0107016{col 26}{space 2} .0253802{col 37}{space 1}    0.42{col 46}{space 3}0.673{col 54}{space 4} -.039051{col 67}{space 3} .0604542
{txt}c_tfull_ed~r {c |}{col 14}{res}{space 2} .0004799{col 26}{space 2} .0013159{col 37}{space 1}    0.36{col 46}{space 3}0.715{col 54}{space 4}-.0020997{col 67}{space 3} .0030596
{txt}c_tfull_b_~x {c |}{col 14}{res}{space 2} .0090353{col 26}{space 2} .0071189{col 37}{space 1}    1.27{col 46}{space 3}0.204{col 54}{space 4}-.0049198{col 67}{space 3} .0229903
{txt}c_trea~l_hc2 {c |}{col 14}{res}{space 2}-.0002327{col 26}{space 2} .0330187{col 37}{space 1}   -0.01{col 46}{space 3}0.994{col 54}{space 4}-.0649591{col 67}{space 3} .0644936
{txt}c_treatful.. {c |}{col 14}{res}{space 2}-.0071175{col 26}{space 2} .0430942{col 37}{space 1}   -0.17{col 46}{space 3}0.869{col 54}{space 4}-.0915947{col 67}{space 3} .0773598
{txt}c_treatful.. {c |}{col 14}{res}{space 2} .0297863{col 26}{space 2} .0461672{col 37}{space 1}    0.65{col 46}{space 3}0.519{col 54}{space 4}-.0607148{col 67}{space 3} .1202874
{txt}c_treatful.. {c |}{col 14}{res}{space 2} .0195876{col 26}{space 2} .0425843{col 37}{space 1}    0.46{col 46}{space 3}0.646{col 54}{space 4}-.0638899{col 67}{space 3} .1030652
{txt}c_treatful.. {c |}{col 14}{res}{space 2}-.0035152{col 26}{space 2} .0026742{col 37}{space 1}   -1.31{col 46}{space 3}0.189{col 54}{space 4}-.0087574{col 67}{space 3} .0017271
{txt}c_treatful.. {c |}{col 14}{res}{space 2}-.0066046{col 26}{space 2} .0109424{col 37}{space 1}   -0.60{col 46}{space 3}0.546{col 54}{space 4}-.0280548{col 67}{space 3} .0148457
{txt}_Idistrict_2 {c |}{col 14}{res}{space 2} .0162825{col 26}{space 2} .0365356{col 37}{space 1}    0.45{col 46}{space 3}0.656{col 54}{space 4}-.0553378{col 67}{space 3} .0879029
{txt}_Idistrict_3 {c |}{col 14}{res}{space 2}-.1322872{col 26}{space 2} .0976249{col 37}{space 1}   -1.36{col 46}{space 3}0.175{col 54}{space 4}-.3236604{col 67}{space 3}  .059086
{txt}_Idistrict_4 {c |}{col 14}{res}{space 2}-.1731329{col 26}{space 2} .0503049{col 37}{space 1}   -3.44{col 46}{space 3}0.001{col 54}{space 4}-.2717452{col 67}{space 3}-.0745206
{txt}_Idistrict_5 {c |}{col 14}{res}{space 2}-.1745387{col 26}{space 2} .0533885{col 37}{space 1}   -3.27{col 46}{space 3}0.001{col 54}{space 4}-.2791958{col 67}{space 3}-.0698817
{txt}_Idistrict_6 {c |}{col 14}{res}{space 2} -.005878{col 26}{space 2} .0470754{col 37}{space 1}   -0.12{col 46}{space 3}0.901{col 54}{space 4}-.0981596{col 67}{space 3} .0864035
{txt}_Idistrict_7 {c |}{col 14}{res}{space 2}-.1660262{col 26}{space 2}   .05205{col 37}{space 1}   -3.19{col 46}{space 3}0.001{col 54}{space 4}-.2680592{col 67}{space 3}-.0639931
{txt}_Idistrict_8 {c |}{col 14}{res}{space 2}-.0780741{col 26}{space 2} .0739902{col 37}{space 1}   -1.06{col 46}{space 3}0.291{col 54}{space 4}-.2231164{col 67}{space 3} .0669682
{txt}_Idistrict_9 {c |}{col 14}{res}{space 2}-.2082179{col 26}{space 2} .0528177{col 37}{space 1}   -3.94{col 46}{space 3}0.000{col 54}{space 4} -.311756{col 67}{space 3}-.1046797
{txt}_Idistric~10 {c |}{col 14}{res}{space 2}-.2440227{col 26}{space 2} .0362621{col 37}{space 1}   -6.73{col 46}{space 3}0.000{col 54}{space 4} -.315107{col 67}{space 3}-.1729384
{txt}_Idistric~11 {c |}{col 14}{res}{space 2}-.1550325{col 26}{space 2} .0575887{col 37}{space 1}   -2.69{col 46}{space 3}0.007{col 54}{space 4} -.267923{col 67}{space 3} -.042142
{txt}_Idistric~12 {c |}{col 14}{res}{space 2}-.2308659{col 26}{space 2} .0442645{col 37}{space 1}   -5.22{col 46}{space 3}0.000{col 54}{space 4}-.3176371{col 67}{space 3}-.1440946
{txt}_Idistric~13 {c |}{col 14}{res}{space 2}-.2174308{col 26}{space 2} .0475131{col 37}{space 1}   -4.58{col 46}{space 3}0.000{col 54}{space 4}-.3105703{col 67}{space 3}-.1242913
{txt}_Idistric~14 {c |}{col 14}{res}{space 2}-.1010742{col 26}{space 2} .0908543{col 37}{space 1}   -1.11{col 46}{space 3}0.266{col 54}{space 4} -.279175{col 67}{space 3} .0770266
{txt}_Idistric~15 {c |}{col 14}{res}{space 2}-.2183856{col 26}{space 2} .0419112{col 37}{space 1}   -5.21{col 46}{space 3}0.000{col 54}{space 4}-.3005437{col 67}{space 3}-.1362274
{txt}_Idistric~16 {c |}{col 14}{res}{space 2}-.0103582{col 26}{space 2}  .053266{col 37}{space 1}   -0.19{col 46}{space 3}0.846{col 54}{space 4} -.114775{col 67}{space 3} .0940586
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} .5400722{col 26}{space 2} .0413278{col 37}{space 1}   13.07{col 46}{space 3}0.000{col 54}{space 4} .4590578{col 67}{space 3} .6210867
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

Parente-Santos Silva test for intra-cluster correlation
         Ho: No intra-cluster correlation

            T{col 17}=  {res}14.818
{txt}         P>|T|  =  {res} 0.000
{txt}i.district{col 19}_Idistrict_1-16{col 39}(naturally coded; _Idistrict_1 omitted)
note: b_patsat_z_d omitted because of collinearity
{res}
{txt}.9 Quantile regression
R-squared = {res}.00179343
{txt}Number of obs = {res}7288
{txt}Objective function = {res}.05876375

{txt}Standard errors adjusted for {res}187{txt} clusters in hc_id
{res}{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}  e_patsat_z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2} .0141281{col 26}{space 2} .0102185{col 37}{space 1}    1.38{col 46}{space 3}0.167{col 54}{space 4}-.0059031{col 67}{space 3} .0341594
{txt}{space 2}b_patsat_z {c |}{col 14}{res}{space 2}-2.09e-17{col 26}{space 2} .0034108{col 37}{space 1}   -0.00{col 46}{space 3}1.000{col 54}{space 4}-.0066861{col 67}{space 3} .0066861
{txt}b_patsat_z_d {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 1}c_tfull_hc2 {c |}{col 14}{res}{space 2}-8.67e-17{col 26}{space 2} .0214715{col 37}{space 1}   -0.00{col 46}{space 3}1.000{col 54}{space 4}-.0420904{col 67}{space 3} .0420904
{txt}c_tfull_b_~l {c |}{col 14}{res}{space 2} 3.47e-16{col 26}{space 2} .0308592{col 37}{space 1}    0.00{col 46}{space 3}1.000{col 54}{space 4} -.060493{col 67}{space 3}  .060493
{txt}c_tfull_b_~s {c |}{col 14}{res}{space 2}-1.60e-16{col 26}{space 2} .0301286{col 37}{space 1}   -0.00{col 46}{space 3}1.000{col 54}{space 4}-.0590609{col 67}{space 3} .0590609
{txt}c_tfull_b_~d {c |}{col 14}{res}{space 2}  .188928{col 26}{space 2} .0431208{col 37}{space 1}    4.38{col 46}{space 3}0.000{col 54}{space 4} .1043987{col 67}{space 3} .2734573
{txt}c_tfull_ed~r {c |}{col 14}{res}{space 2}-4.58e-17{col 26}{space 2} .0006851{col 37}{space 1}   -0.00{col 46}{space 3}1.000{col 54}{space 4} -.001343{col 67}{space 3}  .001343
{txt}c_tfull_b_~x {c |}{col 14}{res}{space 2} 5.18e-17{col 26}{space 2} .0035547{col 37}{space 1}    0.00{col 46}{space 3}1.000{col 54}{space 4}-.0069683{col 67}{space 3} .0069683
{txt}c_trea~l_hc2 {c |}{col 14}{res}{space 2} 4.61e-16{col 26}{space 2} .0248898{col 37}{space 1}    0.00{col 46}{space 3}1.000{col 54}{space 4}-.0487912{col 67}{space 3} .0487912
{txt}c_treatful.. {c |}{col 14}{res}{space 2} 5.34e-16{col 26}{space 2} .0321837{col 37}{space 1}    0.00{col 46}{space 3}1.000{col 54}{space 4}-.0630894{col 67}{space 3} .0630894
{txt}c_treatful.. {c |}{col 14}{res}{space 2}-7.28e-16{col 26}{space 2} .0320943{col 37}{space 1}   -0.00{col 46}{space 3}1.000{col 54}{space 4}-.0629142{col 67}{space 3} .0629142
{txt}c_treatful.. {c |}{col 14}{res}{space 2} -.188928{col 26}{space 2} .0435759{col 37}{space 1}   -4.34{col 46}{space 3}0.000{col 54}{space 4}-.2743495{col 67}{space 3}-.1035065
{txt}c_treatful.. {c |}{col 14}{res}{space 2} 6.57e-17{col 26}{space 2}   .00076{col 37}{space 1}    0.00{col 46}{space 3}1.000{col 54}{space 4}-.0014899{col 67}{space 3} .0014899
{txt}c_treatful.. {c |}{col 14}{res}{space 2} 7.34e-17{col 26}{space 2} .0051395{col 37}{space 1}    0.00{col 46}{space 3}1.000{col 54}{space 4} -.010075{col 67}{space 3}  .010075
{txt}_Idistrict_2 {c |}{col 14}{res}{space 2}-4.44e-15{col 26}{space 2} .0186833{col 37}{space 1}   -0.00{col 46}{space 3}1.000{col 54}{space 4}-.0366247{col 67}{space 3} .0366247
{txt}_Idistrict_3 {c |}{col 14}{res}{space 2}-4.66e-15{col 26}{space 2} .0218914{col 37}{space 1}   -0.00{col 46}{space 3}1.000{col 54}{space 4}-.0429134{col 67}{space 3} .0429134
{txt}_Idistrict_4 {c |}{col 14}{res}{space 2}-5.33e-15{col 26}{space 2} .0223864{col 37}{space 1}   -0.00{col 46}{space 3}1.000{col 54}{space 4}-.0438838{col 67}{space 3} .0438838
{txt}_Idistrict_5 {c |}{col 14}{res}{space 2}-4.63e-15{col 26}{space 2} .0298482{col 37}{space 1}   -0.00{col 46}{space 3}1.000{col 54}{space 4}-.0585112{col 67}{space 3} .0585112
{txt}_Idistrict_6 {c |}{col 14}{res}{space 2}-4.32e-15{col 26}{space 2}  .021833{col 37}{space 1}   -0.00{col 46}{space 3}1.000{col 54}{space 4}-.0427989{col 67}{space 3} .0427989
{txt}_Idistrict_7 {c |}{col 14}{res}{space 2}-4.64e-15{col 26}{space 2} .0227209{col 37}{space 1}   -0.00{col 46}{space 3}1.000{col 54}{space 4}-.0445395{col 67}{space 3} .0445395
{txt}_Idistrict_8 {c |}{col 14}{res}{space 2}-4.40e-15{col 26}{space 2} .0227078{col 37}{space 1}   -0.00{col 46}{space 3}1.000{col 54}{space 4}-.0445139{col 67}{space 3} .0445139
{txt}_Idistrict_9 {c |}{col 14}{res}{space 2}-4.67e-15{col 26}{space 2} .0465854{col 37}{space 1}   -0.00{col 46}{space 3}1.000{col 54}{space 4}-.0913208{col 67}{space 3} .0913208
{txt}_Idistric~10 {c |}{col 14}{res}{space 2}-.1704175{col 26}{space 2} .0558044{col 37}{space 1}   -3.05{col 46}{space 3}0.002{col 54}{space 4}-.2798102{col 67}{space 3}-.0610247
{txt}_Idistric~11 {c |}{col 14}{res}{space 2}-5.59e-15{col 26}{space 2} .0218821{col 37}{space 1}   -0.00{col 46}{space 3}1.000{col 54}{space 4}-.0428952{col 67}{space 3} .0428952
{txt}_Idistric~12 {c |}{col 14}{res}{space 2}-4.72e-15{col 26}{space 2} .0277685{col 37}{space 1}   -0.00{col 46}{space 3}1.000{col 54}{space 4}-.0544344{col 67}{space 3} .0544344
{txt}_Idistric~13 {c |}{col 14}{res}{space 2}-.1008589{col 26}{space 2} .1353032{col 37}{space 1}   -0.75{col 46}{space 3}0.456{col 54}{space 4}-.3660922{col 67}{space 3} .1643745
{txt}_Idistric~14 {c |}{col 14}{res}{space 2}-5.14e-15{col 26}{space 2} .0296327{col 37}{space 1}   -0.00{col 46}{space 3}1.000{col 54}{space 4}-.0580886{col 67}{space 3} .0580886
{txt}_Idistric~15 {c |}{col 14}{res}{space 2}-4.75e-15{col 26}{space 2} .0256658{col 37}{space 1}   -0.00{col 46}{space 3}1.000{col 54}{space 4}-.0503124{col 67}{space 3} .0503124
{txt}_Idistric~16 {c |}{col 14}{res}{space 2}-4.76e-15{col 26}{space 2} .0296367{col 37}{space 1}   -0.00{col 46}{space 3}1.000{col 54}{space 4}-.0580965{col 67}{space 3} .0580965
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} .6115012{col 26}{space 2} .0182039{col 37}{space 1}   33.59{col 46}{space 3}0.000{col 54}{space 4} .5758162{col 67}{space 3} .6471862
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

Parente-Santos Silva test for intra-cluster correlation
         Ho: No intra-cluster correlation

            T{col 17}=  {res}43.247
{txt}         P>|T|  =  {res} 0.000
{txt}note: b_commtg_z_d omitted because of collinearity
{res}
{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}     7,288
{txt}{col 49}F({res}  14{txt},{res}    186{txt}){col 67}= {res}      7.74
{txt}{col 49}Prob > F{col 67}= {res}    0.0000
{txt}{col 49}R-squared{col 67}= {res}    0.0972
{txt}{col 49}Adj R-squared{col 67}= {res}    0.0936
{txt}{col 49}Root MSE{col 67}= {res}    0.5587

{txt}{ralign 78:(Std. Err. adjusted for {res:187} clusters in hc_id)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}  e_commtg_z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2}  .005716{col 26}{space 2} .0278794{col 37}{space 1}    0.21{col 46}{space 3}0.838{col 54}{space 4}-.0492844{col 67}{space 3} .0607164
{txt}{space 2}b_commtg_z {c |}{col 14}{res}{space 2}  .075351{col 26}{space 2} .0135371{col 37}{space 1}    5.57{col 46}{space 3}0.000{col 54}{space 4}  .048645{col 67}{space 3} .1020571
{txt}b_commtg_z_d {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 1}c_tfull_hc2 {c |}{col 14}{res}{space 2} .1127772{col 26}{space 2} .0469224{col 37}{space 1}    2.40{col 46}{space 3}0.017{col 54}{space 4} .0202086{col 67}{space 3} .2053457
{txt}c_tfull_b_~l {c |}{col 14}{res}{space 2}  .054842{col 26}{space 2}  .069432{col 37}{space 1}    0.79{col 46}{space 3}0.431{col 54}{space 4}-.0821334{col 67}{space 3} .1918175
{txt}c_tfull_b_~s {c |}{col 14}{res}{space 2}-.0064699{col 26}{space 2}  .081617{col 37}{space 1}   -0.08{col 46}{space 3}0.937{col 54}{space 4}-.1674839{col 67}{space 3} .1545442
{txt}c_tfull_b_~d {c |}{col 14}{res}{space 2} .0433235{col 26}{space 2} .0462249{col 37}{space 1}    0.94{col 46}{space 3}0.350{col 54}{space 4} -.047869{col 67}{space 3}  .134516
{txt}c_tfull_ed~r {c |}{col 14}{res}{space 2} .0041103{col 26}{space 2} .0024131{col 37}{space 1}    1.70{col 46}{space 3}0.090{col 54}{space 4}-.0006503{col 67}{space 3}  .008871
{txt}c_tfull_b_~x {c |}{col 14}{res}{space 2} .0282947{col 26}{space 2} .0112299{col 37}{space 1}    2.52{col 46}{space 3}0.013{col 54}{space 4} .0061404{col 67}{space 3} .0504491
{txt}c_trea~l_hc2 {c |}{col 14}{res}{space 2} .0164751{col 26}{space 2} .0599684{col 37}{space 1}    0.27{col 46}{space 3}0.784{col 54}{space 4}-.1018307{col 67}{space 3} .1347808
{txt}c_treatful.. {c |}{col 14}{res}{space 2} .0554279{col 26}{space 2} .0787416{col 37}{space 1}    0.70{col 46}{space 3}0.482{col 54}{space 4}-.0999135{col 67}{space 3} .2107694
{txt}c_treatful.. {c |}{col 14}{res}{space 2} .0250956{col 26}{space 2} .0840533{col 37}{space 1}    0.30{col 46}{space 3}0.766{col 54}{space 4}-.1407247{col 67}{space 3}  .190916
{txt}c_treatful.. {c |}{col 14}{res}{space 2} .0976623{col 26}{space 2} .0626955{col 37}{space 1}    1.56{col 46}{space 3}0.121{col 54}{space 4}-.0260233{col 67}{space 3}  .221348
{txt}c_treatful.. {c |}{col 14}{res}{space 2} .0007403{col 26}{space 2} .0034503{col 37}{space 1}    0.21{col 46}{space 3}0.830{col 54}{space 4}-.0060665{col 67}{space 3} .0075472
{txt}c_treatful.. {c |}{col 14}{res}{space 2}-.0015996{col 26}{space 2} .0174295{col 37}{space 1}   -0.09{col 46}{space 3}0.927{col 54}{space 4}-.0359845{col 67}{space 3} .0327853
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} .0034965{col 26}{space 2} .0191534{col 37}{space 1}    0.18{col 46}{space 3}0.855{col 54}{space 4}-.0342894{col 67}{space 3} .0412824
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)
i.district{col 19}_Idistrict_1-16{col 39}(naturally coded; _Idistrict_1 omitted)
note: b_commtg_z_d omitted because of collinearity
{res}
{txt}.1 Quantile regression
R-squared = {res}.08728795
{txt}Number of obs = {res}7288
{txt}Objective function = {res}.11270312

{txt}Standard errors adjusted for {res}187{txt} clusters in hc_id
{res}{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}  e_commtg_z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2}-.0062782{col 26}{space 2} .0535949{col 37}{space 1}   -0.12{col 46}{space 3}0.907{col 54}{space 4}-.1113398{col 67}{space 3} .0987835
{txt}{space 2}b_commtg_z {c |}{col 14}{res}{space 2} .0845911{col 26}{space 2} .0283439{col 37}{space 1}    2.98{col 46}{space 3}0.003{col 54}{space 4} .0290287{col 67}{space 3} .1401534
{txt}b_commtg_z_d {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 1}c_tfull_hc2 {c |}{col 14}{res}{space 2} .1266406{col 26}{space 2} .0653951{col 37}{space 1}    1.94{col 46}{space 3}0.053{col 54}{space 4}-.0015528{col 67}{space 3} .2548341
{txt}c_tfull_b_~l {c |}{col 14}{res}{space 2} .1364571{col 26}{space 2}   .11585{col 37}{space 1}    1.18{col 46}{space 3}0.239{col 54}{space 4}-.0906426{col 67}{space 3} .3635568
{txt}c_tfull_b_~s {c |}{col 14}{res}{space 2}-.0951644{col 26}{space 2}  .142493{col 37}{space 1}   -0.67{col 46}{space 3}0.504{col 54}{space 4}-.3744921{col 67}{space 3} .1841634
{txt}c_tfull_b_~d {c |}{col 14}{res}{space 2} .1196427{col 26}{space 2} .0898753{col 37}{space 1}    1.33{col 46}{space 3}0.183{col 54}{space 4} -.056539{col 67}{space 3} .2958244
{txt}c_tfull_ed~r {c |}{col 14}{res}{space 2} .0099686{col 26}{space 2}  .007043{col 37}{space 1}    1.42{col 46}{space 3}0.157{col 54}{space 4}-.0038378{col 67}{space 3} .0237749
{txt}c_tfull_b_~x {c |}{col 14}{res}{space 2} .0471846{col 26}{space 2} .0245127{col 37}{space 1}    1.92{col 46}{space 3}0.054{col 54}{space 4}-.0008674{col 67}{space 3} .0952365
{txt}c_trea~l_hc2 {c |}{col 14}{res}{space 2} .0402524{col 26}{space 2} .0993255{col 37}{space 1}    0.41{col 46}{space 3}0.685{col 54}{space 4}-.1544544{col 67}{space 3} .2349593
{txt}c_treatful.. {c |}{col 14}{res}{space 2}-.0028049{col 26}{space 2} .1627065{col 37}{space 1}   -0.02{col 46}{space 3}0.986{col 54}{space 4} -.321757{col 67}{space 3} .3161472
{txt}c_treatful.. {c |}{col 14}{res}{space 2} .0288341{col 26}{space 2} .1492969{col 37}{space 1}    0.19{col 46}{space 3}0.847{col 54}{space 4}-.2638314{col 67}{space 3} .3214995
{txt}c_treatful.. {c |}{col 14}{res}{space 2} .0377768{col 26}{space 2} .1073235{col 37}{space 1}    0.35{col 46}{space 3}0.725{col 54}{space 4}-.1726085{col 67}{space 3}  .248162
{txt}c_treatful.. {c |}{col 14}{res}{space 2} .0094372{col 26}{space 2} .0085098{col 37}{space 1}    1.11{col 46}{space 3}0.267{col 54}{space 4}-.0072445{col 67}{space 3} .0261188
{txt}c_treatful.. {c |}{col 14}{res}{space 2}-.0186195{col 26}{space 2} .0411895{col 37}{space 1}   -0.45{col 46}{space 3}0.651{col 54}{space 4}-.0993628{col 67}{space 3} .0621239
{txt}_Idistrict_2 {c |}{col 14}{res}{space 2}-.3112301{col 26}{space 2} .2295873{col 37}{space 1}   -1.36{col 46}{space 3}0.175{col 54}{space 4} -.761288{col 67}{space 3} .1388279
{txt}_Idistrict_3 {c |}{col 14}{res}{space 2} .0857705{col 26}{space 2} .1991862{col 37}{space 1}    0.43{col 46}{space 3}0.667{col 54}{space 4}-.3046925{col 67}{space 3} .4762334
{txt}_Idistrict_4 {c |}{col 14}{res}{space 2}-.3064703{col 26}{space 2} .2124858{col 37}{space 1}   -1.44{col 46}{space 3}0.149{col 54}{space 4}-.7230043{col 67}{space 3} .1100637
{txt}_Idistrict_5 {c |}{col 14}{res}{space 2}-.2445068{col 26}{space 2} .2543443{col 37}{space 1}   -0.96{col 46}{space 3}0.336{col 54}{space 4}-.7430956{col 67}{space 3}  .254082
{txt}_Idistrict_6 {c |}{col 14}{res}{space 2} .0091287{col 26}{space 2} .2430735{col 37}{space 1}    0.04{col 46}{space 3}0.970{col 54}{space 4}-.4673662{col 67}{space 3} .4856235
{txt}_Idistrict_7 {c |}{col 14}{res}{space 2}-.0265361{col 26}{space 2} .2060151{col 37}{space 1}   -0.13{col 46}{space 3}0.898{col 54}{space 4}-.4303857{col 67}{space 3} .3773134
{txt}_Idistrict_8 {c |}{col 14}{res}{space 2} .5045396{col 26}{space 2} .2089602{col 37}{space 1}    2.41{col 46}{space 3}0.016{col 54}{space 4} .0949169{col 67}{space 3} .9141623
{txt}_Idistrict_9 {c |}{col 14}{res}{space 2}-.0583534{col 26}{space 2} .2324831{col 37}{space 1}   -0.25{col 46}{space 3}0.802{col 54}{space 4}-.5140878{col 67}{space 3} .3973811
{txt}_Idistric~10 {c |}{col 14}{res}{space 2}-.4228904{col 26}{space 2} .2244555{col 37}{space 1}   -1.88{col 46}{space 3}0.060{col 54}{space 4}-.8628885{col 67}{space 3} .0171077
{txt}_Idistric~11 {c |}{col 14}{res}{space 2}-.5299178{col 26}{space 2} .2072753{col 37}{space 1}   -2.56{col 46}{space 3}0.011{col 54}{space 4}-.9362377{col 67}{space 3}-.1235979
{txt}_Idistric~12 {c |}{col 14}{res}{space 2}-.2601784{col 26}{space 2} .2279462{col 37}{space 1}   -1.14{col 46}{space 3}0.254{col 54}{space 4}-.7070191{col 67}{space 3} .1866624
{txt}_Idistric~13 {c |}{col 14}{res}{space 2} .0081543{col 26}{space 2} .2159069{col 37}{space 1}    0.04{col 46}{space 3}0.970{col 54}{space 4}-.4150861{col 67}{space 3} .4313947
{txt}_Idistric~14 {c |}{col 14}{res}{space 2}-.2770993{col 26}{space 2} .2541955{col 37}{space 1}   -1.09{col 46}{space 3}0.276{col 54}{space 4}-.7753963{col 67}{space 3} .2211978
{txt}_Idistric~15 {c |}{col 14}{res}{space 2}-.2141603{col 26}{space 2}  .211292{col 37}{space 1}   -1.01{col 46}{space 3}0.311{col 54}{space 4} -.628354{col 67}{space 3} .2000334
{txt}_Idistric~16 {c |}{col 14}{res}{space 2} .0961983{col 26}{space 2} .2209057{col 37}{space 1}    0.44{col 46}{space 3}0.663{col 54}{space 4} -.336841{col 67}{space 3} .5292377
{txt}{space 7}_cons {c |}{col 14}{res}{space 2}-.6693103{col 26}{space 2} .1872999{col 37}{space 1}   -3.57{col 46}{space 3}0.000{col 54}{space 4}-1.036472{col 67}{space 3}-.3021481
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

Parente-Santos Silva test for intra-cluster correlation
         Ho: No intra-cluster correlation

            T{col 17}=  {res} 9.787
{txt}         P>|T|  =  {res} 0.000
{txt}i.district{col 19}_Idistrict_1-16{col 39}(naturally coded; _Idistrict_1 omitted)
note: b_commtg_z_d omitted because of collinearity
{res}
{txt}.2 Quantile regression
R-squared = {res}.09128171
{txt}Number of obs = {res}7288
{txt}Objective function = {res}.17539652

{txt}Standard errors adjusted for {res}187{txt} clusters in hc_id
{res}{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}  e_commtg_z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2} .0057497{col 26}{space 2} .0437098{col 37}{space 1}    0.13{col 46}{space 3}0.895{col 54}{space 4}-.0799342{col 67}{space 3} .0914337
{txt}{space 2}b_commtg_z {c |}{col 14}{res}{space 2} .1004635{col 26}{space 2} .0233995{col 37}{space 1}    4.29{col 46}{space 3}0.000{col 54}{space 4} .0545938{col 67}{space 3} .1463332
{txt}b_commtg_z_d {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 1}c_tfull_hc2 {c |}{col 14}{res}{space 2} .1758558{col 26}{space 2} .0664128{col 37}{space 1}    2.65{col 46}{space 3}0.008{col 54}{space 4} .0456673{col 67}{space 3} .3060442
{txt}c_tfull_b_~l {c |}{col 14}{res}{space 2}  .025807{col 26}{space 2} .1002424{col 37}{space 1}    0.26{col 46}{space 3}0.797{col 54}{space 4}-.1706972{col 67}{space 3} .2223112
{txt}c_tfull_b_~s {c |}{col 14}{res}{space 2}-.0721878{col 26}{space 2} .1213717{col 37}{space 1}   -0.59{col 46}{space 3}0.552{col 54}{space 4}-.3101117{col 67}{space 3} .1657361
{txt}c_tfull_b_~d {c |}{col 14}{res}{space 2} .1637567{col 26}{space 2}  .101344{col 37}{space 1}    1.62{col 46}{space 3}0.106{col 54}{space 4} -.034907{col 67}{space 3} .3624204
{txt}c_tfull_ed~r {c |}{col 14}{res}{space 2} .0078535{col 26}{space 2} .0044185{col 37}{space 1}    1.78{col 46}{space 3}0.076{col 54}{space 4} -.000808{col 67}{space 3}  .016515
{txt}c_tfull_b_~x {c |}{col 14}{res}{space 2} .0555677{col 26}{space 2}  .022243{col 37}{space 1}    2.50{col 46}{space 3}0.013{col 54}{space 4} .0119649{col 67}{space 3} .0991706
{txt}c_trea~l_hc2 {c |}{col 14}{res}{space 2}  .045237{col 26}{space 2} .0918714{col 37}{space 1}    0.49{col 46}{space 3}0.622{col 54}{space 4}-.1348576{col 67}{space 3} .2253316
{txt}c_treatful.. {c |}{col 14}{res}{space 2} .1573085{col 26}{space 2} .1259141{col 37}{space 1}    1.25{col 46}{space 3}0.212{col 54}{space 4}-.0895198{col 67}{space 3} .4041367
{txt}c_treatful.. {c |}{col 14}{res}{space 2} .0397483{col 26}{space 2} .1400021{col 37}{space 1}    0.28{col 46}{space 3}0.776{col 54}{space 4}-.2346965{col 67}{space 3}  .314193
{txt}c_treatful.. {c |}{col 14}{res}{space 2} .0830032{col 26}{space 2} .1495577{col 37}{space 1}    0.55{col 46}{space 3}0.579{col 54}{space 4}-.2101735{col 67}{space 3} .3761798
{txt}c_treatful.. {c |}{col 14}{res}{space 2} .0080975{col 26}{space 2} .0088867{col 37}{space 1}    0.91{col 46}{space 3}0.362{col 54}{space 4} -.009323{col 67}{space 3}  .025518
{txt}c_treatful.. {c |}{col 14}{res}{space 2}-.0337677{col 26}{space 2} .0315951{col 37}{space 1}   -1.07{col 46}{space 3}0.285{col 54}{space 4}-.0957034{col 67}{space 3} .0281679
{txt}_Idistrict_2 {c |}{col 14}{res}{space 2}-.1871566{col 26}{space 2} .1180844{col 37}{space 1}   -1.58{col 46}{space 3}0.113{col 54}{space 4}-.4186365{col 67}{space 3} .0443232
{txt}_Idistrict_3 {c |}{col 14}{res}{space 2} .0699894{col 26}{space 2}  .128803{col 37}{space 1}    0.54{col 46}{space 3}0.587{col 54}{space 4}-.1825019{col 67}{space 3} .3224808
{txt}_Idistrict_4 {c |}{col 14}{res}{space 2}-.2135575{col 26}{space 2}  .118288{col 37}{space 1}   -1.81{col 46}{space 3}0.071{col 54}{space 4}-.4454365{col 67}{space 3} .0183214
{txt}_Idistrict_5 {c |}{col 14}{res}{space 2}-.0928804{col 26}{space 2} .1286111{col 37}{space 1}   -0.72{col 46}{space 3}0.470{col 54}{space 4}-.3449955{col 67}{space 3} .1592347
{txt}_Idistrict_6 {c |}{col 14}{res}{space 2} .0052321{col 26}{space 2} .1634639{col 37}{space 1}    0.03{col 46}{space 3}0.974{col 54}{space 4}-.3152047{col 67}{space 3} .3256689
{txt}_Idistrict_7 {c |}{col 14}{res}{space 2}-.0094548{col 26}{space 2}  .121007{col 37}{space 1}   -0.08{col 46}{space 3}0.938{col 54}{space 4}-.2466638{col 67}{space 3} .2277541
{txt}_Idistrict_8 {c |}{col 14}{res}{space 2} .5247294{col 26}{space 2} .1512796{col 37}{space 1}    3.47{col 46}{space 3}0.001{col 54}{space 4} .2281774{col 67}{space 3} .8212815
{txt}_Idistrict_9 {c |}{col 14}{res}{space 2} .0420111{col 26}{space 2} .1099332{col 37}{space 1}    0.38{col 46}{space 3}0.702{col 54}{space 4}-.1734899{col 67}{space 3} .2575121
{txt}_Idistric~10 {c |}{col 14}{res}{space 2}-.2789536{col 26}{space 2} .1350771{col 37}{space 1}   -2.07{col 46}{space 3}0.039{col 54}{space 4}-.5437439{col 67}{space 3}-.0141633
{txt}_Idistric~11 {c |}{col 14}{res}{space 2}-.4720866{col 26}{space 2} .1280669{col 37}{space 1}   -3.69{col 46}{space 3}0.000{col 54}{space 4} -.723135{col 67}{space 3}-.2210382
{txt}_Idistric~12 {c |}{col 14}{res}{space 2}-.0808785{col 26}{space 2} .1232945{col 37}{space 1}   -0.66{col 46}{space 3}0.512{col 54}{space 4}-.3225716{col 67}{space 3} .1608145
{txt}_Idistric~13 {c |}{col 14}{res}{space 2} .1194093{col 26}{space 2} .1161315{col 37}{space 1}    1.03{col 46}{space 3}0.304{col 54}{space 4}-.1082421{col 67}{space 3} .3470607
{txt}_Idistric~14 {c |}{col 14}{res}{space 2} .0555256{col 26}{space 2} .1382746{col 37}{space 1}    0.40{col 46}{space 3}0.688{col 54}{space 4}-.2155328{col 67}{space 3}  .326584
{txt}_Idistric~15 {c |}{col 14}{res}{space 2} .0566185{col 26}{space 2} .1235315{col 37}{space 1}    0.46{col 46}{space 3}0.647{col 54}{space 4}-.1855392{col 67}{space 3} .2987763
{txt}_Idistric~16 {c |}{col 14}{res}{space 2} .2119984{col 26}{space 2} .1626561{col 37}{space 1}    1.30{col 46}{space 3}0.192{col 54}{space 4}-.1068548{col 67}{space 3} .5308516
{txt}{space 7}_cons {c |}{col 14}{res}{space 2}-.4102519{col 26}{space 2} .1037085{col 37}{space 1}   -3.96{col 46}{space 3}0.000{col 54}{space 4}-.6135508{col 67}{space 3} -.206953
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

Parente-Santos Silva test for intra-cluster correlation
         Ho: No intra-cluster correlation

            T{col 17}=  {res}11.819
{txt}         P>|T|  =  {res} 0.000
{txt}i.district{col 19}_Idistrict_1-16{col 39}(naturally coded; _Idistrict_1 omitted)
note: b_commtg_z_d omitted because of collinearity
{res}
{txt}.3 Quantile regression
R-squared = {res}.08946404
{txt}Number of obs = {res}7288
{txt}Objective function = {res}.2089507

{txt}Standard errors adjusted for {res}187{txt} clusters in hc_id
{res}{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}  e_commtg_z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2}-.0063532{col 26}{space 2} .0384062{col 37}{space 1}   -0.17{col 46}{space 3}0.869{col 54}{space 4}-.0816406{col 67}{space 3} .0689342
{txt}{space 2}b_commtg_z {c |}{col 14}{res}{space 2} .0726582{col 26}{space 2} .0224344{col 37}{space 1}    3.24{col 46}{space 3}0.001{col 54}{space 4} .0286801{col 67}{space 3} .1166362
{txt}b_commtg_z_d {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 1}c_tfull_hc2 {c |}{col 14}{res}{space 2}  .123576{col 26}{space 2} .0664403{col 37}{space 1}    1.86{col 46}{space 3}0.063{col 54}{space 4}-.0066663{col 67}{space 3} .2538184
{txt}c_tfull_b_~l {c |}{col 14}{res}{space 2}  .021967{col 26}{space 2} .0881198{col 37}{space 1}    0.25{col 46}{space 3}0.803{col 54}{space 4}-.1507734{col 67}{space 3} .1947074
{txt}c_tfull_b_~s {c |}{col 14}{res}{space 2}-.0463252{col 26}{space 2} .0880473{col 37}{space 1}   -0.53{col 46}{space 3}0.599{col 54}{space 4}-.2189236{col 67}{space 3} .1262732
{txt}c_tfull_b_~d {c |}{col 14}{res}{space 2} .1025267{col 26}{space 2}   .05848{col 37}{space 1}    1.75{col 46}{space 3}0.080{col 54}{space 4}-.0121111{col 67}{space 3} .2171645
{txt}c_tfull_ed~r {c |}{col 14}{res}{space 2} .0081135{col 26}{space 2} .0039811{col 37}{space 1}    2.04{col 46}{space 3}0.042{col 54}{space 4} .0003094{col 67}{space 3} .0159177
{txt}c_tfull_b_~x {c |}{col 14}{res}{space 2} .0352436{col 26}{space 2} .0202468{col 37}{space 1}    1.74{col 46}{space 3}0.082{col 54}{space 4} -.004446{col 67}{space 3} .0749332
{txt}c_trea~l_hc2 {c |}{col 14}{res}{space 2} .1325459{col 26}{space 2}  .089651{col 37}{space 1}    1.48{col 46}{space 3}0.139{col 54}{space 4}-.0431961{col 67}{space 3} .3082879
{txt}c_treatful.. {c |}{col 14}{res}{space 2} .1453613{col 26}{space 2} .1000732{col 37}{space 1}    1.45{col 46}{space 3}0.146{col 54}{space 4}-.0508112{col 67}{space 3} .3415338
{txt}c_treatful.. {c |}{col 14}{res}{space 2} .0297873{col 26}{space 2} .0997218{col 37}{space 1}    0.30{col 46}{space 3}0.765{col 54}{space 4}-.1656963{col 67}{space 3}  .225271
{txt}c_treatful.. {c |}{col 14}{res}{space 2}  .035077{col 26}{space 2} .1369533{col 37}{space 1}    0.26{col 46}{space 3}0.798{col 54}{space 4}-.2333914{col 67}{space 3} .3035454
{txt}c_treatful.. {c |}{col 14}{res}{space 2}-.0035322{col 26}{space 2} .0053322{col 37}{space 1}   -0.66{col 46}{space 3}0.508{col 54}{space 4}-.0139848{col 67}{space 3} .0069204
{txt}c_treatful.. {c |}{col 14}{res}{space 2} .0064907{col 26}{space 2} .0287469{col 37}{space 1}    0.23{col 46}{space 3}0.821{col 54}{space 4}-.0498615{col 67}{space 3}  .062843
{txt}_Idistrict_2 {c |}{col 14}{res}{space 2}-.1959775{col 26}{space 2} .1504818{col 37}{space 1}   -1.30{col 46}{space 3}0.193{col 54}{space 4}-.4909657{col 67}{space 3} .0990107
{txt}_Idistrict_3 {c |}{col 14}{res}{space 2} .1261343{col 26}{space 2} .1526978{col 37}{space 1}    0.83{col 46}{space 3}0.409{col 54}{space 4}-.1731977{col 67}{space 3} .4254664
{txt}_Idistrict_4 {c |}{col 14}{res}{space 2} -.168929{col 26}{space 2} .1493903{col 37}{space 1}   -1.13{col 46}{space 3}0.258{col 54}{space 4}-.4617774{col 67}{space 3} .1239194
{txt}_Idistrict_5 {c |}{col 14}{res}{space 2} .1161622{col 26}{space 2} .1897125{col 37}{space 1}    0.61{col 46}{space 3}0.540{col 54}{space 4}-.2557295{col 67}{space 3} .4880538
{txt}_Idistrict_6 {c |}{col 14}{res}{space 2} .1240116{col 26}{space 2} .1688931{col 37}{space 1}    0.73{col 46}{space 3}0.463{col 54}{space 4}-.2070681{col 67}{space 3} .4550912
{txt}_Idistrict_7 {c |}{col 14}{res}{space 2} .0829754{col 26}{space 2} .1579185{col 37}{space 1}    0.53{col 46}{space 3}0.599{col 54}{space 4}-.2265908{col 67}{space 3} .3925416
{txt}_Idistrict_8 {c |}{col 14}{res}{space 2} .5553859{col 26}{space 2} .1612685{col 37}{space 1}    3.44{col 46}{space 3}0.001{col 54}{space 4} .2392528{col 67}{space 3} .8715191
{txt}_Idistrict_9 {c |}{col 14}{res}{space 2} .0746774{col 26}{space 2} .1754203{col 37}{space 1}    0.43{col 46}{space 3}0.670{col 54}{space 4}-.2691973{col 67}{space 3} .4185522
{txt}_Idistric~10 {c |}{col 14}{res}{space 2}-.1822459{col 26}{space 2}  .214707{col 37}{space 1}   -0.85{col 46}{space 3}0.396{col 54}{space 4} -.603134{col 67}{space 3} .2386422
{txt}_Idistric~11 {c |}{col 14}{res}{space 2}-.3520247{col 26}{space 2} .1719663{col 37}{space 1}   -2.05{col 46}{space 3}0.041{col 54}{space 4}-.6891286{col 67}{space 3}-.0149207
{txt}_Idistric~12 {c |}{col 14}{res}{space 2} .0703305{col 26}{space 2} .1660656{col 37}{space 1}    0.42{col 46}{space 3}0.672{col 54}{space 4}-.2552064{col 67}{space 3} .3958675
{txt}_Idistric~13 {c |}{col 14}{res}{space 2} .2769593{col 26}{space 2} .1375231{col 37}{space 1}    2.01{col 46}{space 3}0.044{col 54}{space 4} .0073741{col 67}{space 3} .5465445
{txt}_Idistric~14 {c |}{col 14}{res}{space 2} .1621896{col 26}{space 2} .1597028{col 37}{space 1}    1.02{col 46}{space 3}0.310{col 54}{space 4}-.1508743{col 67}{space 3} .4752534
{txt}_Idistric~15 {c |}{col 14}{res}{space 2} .1387301{col 26}{space 2}  .148512{col 37}{space 1}    0.93{col 46}{space 3}0.350{col 54}{space 4}-.1523966{col 67}{space 3} .4298568
{txt}_Idistric~16 {c |}{col 14}{res}{space 2} .2085062{col 26}{space 2} .1592682{col 37}{space 1}    1.31{col 46}{space 3}0.191{col 54}{space 4}-.1037059{col 67}{space 3} .5207182
{txt}{space 7}_cons {c |}{col 14}{res}{space 2}-.2365419{col 26}{space 2} .1405797{col 37}{space 1}   -1.68{col 46}{space 3}0.092{col 54}{space 4} -.512119{col 67}{space 3} .0390352
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

Parente-Santos Silva test for intra-cluster correlation
         Ho: No intra-cluster correlation

            T{col 17}=  {res}14.945
{txt}         P>|T|  =  {res} 0.000
{txt}i.district{col 19}_Idistrict_1-16{col 39}(naturally coded; _Idistrict_1 omitted)
note: b_commtg_z_d omitted because of collinearity
{res}
{txt}.4 Quantile regression
R-squared = {res}.08793607
{txt}Number of obs = {res}7288
{txt}Objective function = {res}.21962015

{txt}Standard errors adjusted for {res}187{txt} clusters in hc_id
{res}{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}  e_commtg_z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2}  .024311{col 26}{space 2} .0293174{col 37}{space 1}    0.83{col 46}{space 3}0.407{col 54}{space 4}-.0331596{col 67}{space 3} .0817815
{txt}{space 2}b_commtg_z {c |}{col 14}{res}{space 2} .0413574{col 26}{space 2} .0163877{col 37}{space 1}    2.52{col 46}{space 3}0.012{col 54}{space 4} .0092328{col 67}{space 3}  .073482
{txt}b_commtg_z_d {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 1}c_tfull_hc2 {c |}{col 14}{res}{space 2} .0735006{col 26}{space 2} .0561317{col 37}{space 1}    1.31{col 46}{space 3}0.190{col 54}{space 4} -.036534{col 67}{space 3} .1835351
{txt}c_tfull_b_~l {c |}{col 14}{res}{space 2}-.0036805{col 26}{space 2} .0793201{col 37}{space 1}   -0.05{col 46}{space 3}0.963{col 54}{space 4}-.1591708{col 67}{space 3} .1518099
{txt}c_tfull_b_~s {c |}{col 14}{res}{space 2}-.0074763{col 26}{space 2}  .072029{col 37}{space 1}   -0.10{col 46}{space 3}0.917{col 54}{space 4} -.148674{col 67}{space 3} .1337214
{txt}c_tfull_b_~d {c |}{col 14}{res}{space 2} .0610865{col 26}{space 2} .0439426{col 37}{space 1}    1.39{col 46}{space 3}0.165{col 54}{space 4}-.0250537{col 67}{space 3} .1472267
{txt}c_tfull_ed~r {c |}{col 14}{res}{space 2}  .003397{col 26}{space 2} .0027329{col 37}{space 1}    1.24{col 46}{space 3}0.214{col 54}{space 4}-.0019602{col 67}{space 3} .0087543
{txt}c_tfull_b_~x {c |}{col 14}{res}{space 2} .0063318{col 26}{space 2} .0131174{col 37}{space 1}    0.48{col 46}{space 3}0.629{col 54}{space 4} -.019382{col 67}{space 3} .0320457
{txt}c_trea~l_hc2 {c |}{col 14}{res}{space 2} .1025693{col 26}{space 2} .0751697{col 37}{space 1}    1.36{col 46}{space 3}0.172{col 54}{space 4}-.0447852{col 67}{space 3} .2499238
{txt}c_treatful.. {c |}{col 14}{res}{space 2} .1550503{col 26}{space 2} .0878011{col 37}{space 1}    1.77{col 46}{space 3}0.077{col 54}{space 4}-.0170653{col 67}{space 3}  .327166
{txt}c_treatful.. {c |}{col 14}{res}{space 2} .0600153{col 26}{space 2} .0728973{col 37}{space 1}    0.82{col 46}{space 3}0.410{col 54}{space 4}-.0828845{col 67}{space 3} .2029152
{txt}c_treatful.. {c |}{col 14}{res}{space 2} .0675784{col 26}{space 2}  .078543{col 37}{space 1}    0.86{col 46}{space 3}0.390{col 54}{space 4}-.0863887{col 67}{space 3} .2215455
{txt}c_treatful.. {c |}{col 14}{res}{space 2}-.0001676{col 26}{space 2} .0039018{col 37}{space 1}   -0.04{col 46}{space 3}0.966{col 54}{space 4}-.0078164{col 67}{space 3} .0074811
{txt}c_treatful.. {c |}{col 14}{res}{space 2} .0048298{col 26}{space 2} .0195768{col 37}{space 1}    0.25{col 46}{space 3}0.805{col 54}{space 4}-.0335464{col 67}{space 3}  .043206
{txt}_Idistrict_2 {c |}{col 14}{res}{space 2}-.2301198{col 26}{space 2} .1060752{col 37}{space 1}   -2.17{col 46}{space 3}0.030{col 54}{space 4} -.438058{col 67}{space 3}-.0221815
{txt}_Idistrict_3 {c |}{col 14}{res}{space 2} .0159167{col 26}{space 2} .0766726{col 37}{space 1}    0.21{col 46}{space 3}0.836{col 54}{space 4}-.1343838{col 67}{space 3} .1662172
{txt}_Idistrict_4 {c |}{col 14}{res}{space 2}-.2148088{col 26}{space 2} .1109731{col 37}{space 1}   -1.94{col 46}{space 3}0.053{col 54}{space 4}-.4323483{col 67}{space 3} .0027307
{txt}_Idistrict_5 {c |}{col 14}{res}{space 2} .0046453{col 26}{space 2} .0872391{col 37}{space 1}    0.05{col 46}{space 3}0.958{col 54}{space 4}-.1663687{col 67}{space 3} .1756594
{txt}_Idistrict_6 {c |}{col 14}{res}{space 2} -.029087{col 26}{space 2} .1003867{col 37}{space 1}   -0.29{col 46}{space 3}0.772{col 54}{space 4} -.225874{col 67}{space 3} .1677001
{txt}_Idistrict_7 {c |}{col 14}{res}{space 2}-.0211403{col 26}{space 2} .0944344{col 37}{space 1}   -0.22{col 46}{space 3}0.823{col 54}{space 4}-.2062591{col 67}{space 3} .1639786
{txt}_Idistrict_8 {c |}{col 14}{res}{space 2} .4031839{col 26}{space 2}  .108066{col 37}{space 1}    3.73{col 46}{space 3}0.000{col 54}{space 4} .1913432{col 67}{space 3} .6150247
{txt}_Idistrict_9 {c |}{col 14}{res}{space 2} .0223716{col 26}{space 2}  .083328{col 37}{space 1}    0.27{col 46}{space 3}0.788{col 54}{space 4}-.1409755{col 67}{space 3} .1857187
{txt}_Idistric~10 {c |}{col 14}{res}{space 2}-.2275934{col 26}{space 2} .1661687{col 37}{space 1}   -1.37{col 46}{space 3}0.171{col 54}{space 4}-.5533324{col 67}{space 3} .0981457
{txt}_Idistric~11 {c |}{col 14}{res}{space 2}-.3632124{col 26}{space 2} .0913005{col 37}{space 1}   -3.98{col 46}{space 3}0.000{col 54}{space 4}-.5421878{col 67}{space 3}-.1842369
{txt}_Idistric~12 {c |}{col 14}{res}{space 2} .0189349{col 26}{space 2} .0789601{col 37}{space 1}    0.24{col 46}{space 3}0.810{col 54}{space 4}-.1358498{col 67}{space 3} .1737196
{txt}_Idistric~13 {c |}{col 14}{res}{space 2} .1580423{col 26}{space 2} .0861866{col 37}{space 1}    1.83{col 46}{space 3}0.067{col 54}{space 4}-.0109084{col 67}{space 3} .3269931
{txt}_Idistric~14 {c |}{col 14}{res}{space 2} .1097889{col 26}{space 2} .0869798{col 37}{space 1}    1.26{col 46}{space 3}0.207{col 54}{space 4}-.0607168{col 67}{space 3} .2802945
{txt}_Idistric~15 {c |}{col 14}{res}{space 2}-.0021856{col 26}{space 2} .0898377{col 37}{space 1}   -0.02{col 46}{space 3}0.981{col 54}{space 4}-.1782937{col 67}{space 3} .1739225
{txt}_Idistric~16 {c |}{col 14}{res}{space 2} .0856412{col 26}{space 2} .0906971{col 37}{space 1}    0.94{col 46}{space 3}0.345{col 54}{space 4}-.0921515{col 67}{space 3} .2634338
{txt}{space 7}_cons {c |}{col 14}{res}{space 2}  .026735{col 26}{space 2} .0789096{col 37}{space 1}    0.34{col 46}{space 3}0.735{col 54}{space 4}-.1279507{col 67}{space 3} .1814207
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

Parente-Santos Silva test for intra-cluster correlation
         Ho: No intra-cluster correlation

            T{col 17}=  {res}23.982
{txt}         P>|T|  =  {res} 0.000
{txt}i.district{col 19}_Idistrict_1-16{col 39}(naturally coded; _Idistrict_1 omitted)
note: b_commtg_z_d omitted because of collinearity
{res}
{txt}Median regression
R-squared = {res}.08827659
{txt}Number of obs = {res}7288
{txt}Objective function = {res}.21497124

{txt}Standard errors adjusted for {res}187{txt} clusters in hc_id
{res}{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}  e_commtg_z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2} .0465643{col 26}{space 2} .0326274{col 37}{space 1}    1.43{col 46}{space 3}0.154{col 54}{space 4} -.017395{col 67}{space 3} .1105235
{txt}{space 2}b_commtg_z {c |}{col 14}{res}{space 2} .0488217{col 26}{space 2} .0155166{col 37}{space 1}    3.15{col 46}{space 3}0.002{col 54}{space 4} .0184047{col 67}{space 3} .0792387
{txt}b_commtg_z_d {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 1}c_tfull_hc2 {c |}{col 14}{res}{space 2}   .08088{col 26}{space 2} .0551469{col 37}{space 1}    1.47{col 46}{space 3}0.143{col 54}{space 4}-.0272239{col 67}{space 3}  .188984
{txt}c_tfull_b_~l {c |}{col 14}{res}{space 2} .0453481{col 26}{space 2}  .088138{col 37}{space 1}    0.51{col 46}{space 3}0.607{col 54}{space 4}-.1274281{col 67}{space 3} .2181243
{txt}c_tfull_b_~s {c |}{col 14}{res}{space 2} .0216576{col 26}{space 2} .0998287{col 37}{space 1}    0.22{col 46}{space 3}0.828{col 54}{space 4}-.1740356{col 67}{space 3} .2173508
{txt}c_tfull_b_~d {c |}{col 14}{res}{space 2} .0186101{col 26}{space 2} .0377326{col 37}{space 1}    0.49{col 46}{space 3}0.622{col 54}{space 4}-.0553568{col 67}{space 3} .0925771
{txt}c_tfull_ed~r {c |}{col 14}{res}{space 2} .0000117{col 26}{space 2} .0023368{col 37}{space 1}    0.00{col 46}{space 3}0.996{col 54}{space 4}-.0045691{col 67}{space 3} .0045924
{txt}c_tfull_b_~x {c |}{col 14}{res}{space 2} .0084418{col 26}{space 2} .0135954{col 37}{space 1}    0.62{col 46}{space 3}0.535{col 54}{space 4} -.018209{col 67}{space 3} .0350927
{txt}c_trea~l_hc2 {c |}{col 14}{res}{space 2} .0347076{col 26}{space 2} .0704843{col 37}{space 1}    0.49{col 46}{space 3}0.622{col 54}{space 4}-.1034622{col 67}{space 3} .1728773
{txt}c_treatful.. {c |}{col 14}{res}{space 2} .0596906{col 26}{space 2} .0956568{col 37}{space 1}    0.62{col 46}{space 3}0.533{col 54}{space 4}-.1278246{col 67}{space 3} .2472059
{txt}c_treatful.. {c |}{col 14}{res}{space 2} -.055242{col 26}{space 2} .1283355{col 37}{space 1}   -0.43{col 46}{space 3}0.667{col 54}{space 4}-.3068169{col 67}{space 3} .1963328
{txt}c_treatful.. {c |}{col 14}{res}{space 2} .0871164{col 26}{space 2} .0760326{col 37}{space 1}    1.15{col 46}{space 3}0.252{col 54}{space 4}-.0619296{col 67}{space 3} .2361623
{txt}c_treatful.. {c |}{col 14}{res}{space 2} .0023732{col 26}{space 2} .0034907{col 37}{space 1}    0.68{col 46}{space 3}0.497{col 54}{space 4}-.0044697{col 67}{space 3}  .009216
{txt}c_treatful.. {c |}{col 14}{res}{space 2}-.0069948{col 26}{space 2} .0187887{col 37}{space 1}   -0.37{col 46}{space 3}0.710{col 54}{space 4}-.0438261{col 67}{space 3} .0298365
{txt}_Idistrict_2 {c |}{col 14}{res}{space 2} -.133695{col 26}{space 2} .0857777{col 37}{space 1}   -1.56{col 46}{space 3}0.119{col 54}{space 4}-.3018442{col 67}{space 3} .0344543
{txt}_Idistrict_3 {c |}{col 14}{res}{space 2}  .035605{col 26}{space 2} .0709681{col 37}{space 1}    0.50{col 46}{space 3}0.616{col 54}{space 4}-.1035132{col 67}{space 3} .1747231
{txt}_Idistrict_4 {c |}{col 14}{res}{space 2}-.1566787{col 26}{space 2} .0881595{col 37}{space 1}   -1.78{col 46}{space 3}0.076{col 54}{space 4}-.3294969{col 67}{space 3} .0161395
{txt}_Idistrict_5 {c |}{col 14}{res}{space 2}-.0413376{col 26}{space 2} .0845338{col 37}{space 1}   -0.49{col 46}{space 3}0.625{col 54}{space 4}-.2070485{col 67}{space 3} .1243734
{txt}_Idistrict_6 {c |}{col 14}{res}{space 2}-.0402517{col 26}{space 2} .1015972{col 37}{space 1}   -0.40{col 46}{space 3}0.692{col 54}{space 4}-.2394119{col 67}{space 3} .1589084
{txt}_Idistrict_7 {c |}{col 14}{res}{space 2}-.0077833{col 26}{space 2} .0919904{col 37}{space 1}   -0.08{col 46}{space 3}0.933{col 54}{space 4}-.1881112{col 67}{space 3} .1725446
{txt}_Idistrict_8 {c |}{col 14}{res}{space 2} .3767366{col 26}{space 2} .1005216{col 37}{space 1}    3.75{col 46}{space 3}0.000{col 54}{space 4}  .179685{col 67}{space 3} .5737883
{txt}_Idistrict_9 {c |}{col 14}{res}{space 2} .0389948{col 26}{space 2} .0707772{col 37}{space 1}    0.55{col 46}{space 3}0.582{col 54}{space 4}-.0997491{col 67}{space 3} .1777387
{txt}_Idistric~10 {c |}{col 14}{res}{space 2}-.2116702{col 26}{space 2} .1887733{col 37}{space 1}   -1.12{col 46}{space 3}0.262{col 54}{space 4}-.5817207{col 67}{space 3} .1583803
{txt}_Idistric~11 {c |}{col 14}{res}{space 2} -.358811{col 26}{space 2} .0922883{col 37}{space 1}   -3.89{col 46}{space 3}0.000{col 54}{space 4}-.5397229{col 67}{space 3}-.1778991
{txt}_Idistric~12 {c |}{col 14}{res}{space 2}-.0072481{col 26}{space 2} .0844797{col 37}{space 1}   -0.09{col 46}{space 3}0.932{col 54}{space 4}-.1728529{col 67}{space 3} .1583566
{txt}_Idistric~13 {c |}{col 14}{res}{space 2} .1359684{col 26}{space 2} .0763142{col 37}{space 1}    1.78{col 46}{space 3}0.075{col 54}{space 4}-.0136296{col 67}{space 3} .2855665
{txt}_Idistric~14 {c |}{col 14}{res}{space 2} .0487788{col 26}{space 2} .1045247{col 37}{space 1}    0.47{col 46}{space 3}0.641{col 54}{space 4}  -.15612{col 67}{space 3} .2536775
{txt}_Idistric~15 {c |}{col 14}{res}{space 2}-.0389616{col 26}{space 2} .0977694{col 37}{space 1}   -0.40{col 46}{space 3}0.690{col 54}{space 4} -.230618{col 67}{space 3} .1526948
{txt}_Idistric~16 {c |}{col 14}{res}{space 2} .0562043{col 26}{space 2} .1228524{col 37}{space 1}    0.46{col 46}{space 3}0.647{col 54}{space 4}-.1846221{col 67}{space 3} .2970307
{txt}{space 7}_cons {c |}{col 14}{res}{space 2}  .129531{col 26}{space 2}  .068258{col 37}{space 1}    1.90{col 46}{space 3}0.058{col 54}{space 4}-.0042745{col 67}{space 3} .2633366
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

Parente-Santos Silva test for intra-cluster correlation
         Ho: No intra-cluster correlation

            T{col 17}=  {res}41.283
{txt}         P>|T|  =  {res} 0.000
{txt}i.district{col 19}_Idistrict_1-16{col 39}(naturally coded; _Idistrict_1 omitted)
note: b_commtg_z_d omitted because of collinearity
{res}
{txt}.6 Quantile regression
R-squared = {res}.09087062
{txt}Number of obs = {res}7288
{txt}Objective function = {res}.19803563

{txt}Standard errors adjusted for {res}187{txt} clusters in hc_id
{res}{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}  e_commtg_z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2} .0185918{col 26}{space 2} .0320071{col 37}{space 1}    0.58{col 46}{space 3}0.561{col 54}{space 4}-.0441515{col 67}{space 3} .0813351
{txt}{space 2}b_commtg_z {c |}{col 14}{res}{space 2} .0469763{col 26}{space 2} .0156359{col 37}{space 1}    3.00{col 46}{space 3}0.003{col 54}{space 4} .0163253{col 67}{space 3} .0776273
{txt}b_commtg_z_d {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 1}c_tfull_hc2 {c |}{col 14}{res}{space 2} .1209251{col 26}{space 2} .0762694{col 37}{space 1}    1.59{col 46}{space 3}0.113{col 54}{space 4}-.0285851{col 67}{space 3} .2704352
{txt}c_tfull_b_~l {c |}{col 14}{res}{space 2} .0445392{col 26}{space 2} .1030866{col 37}{space 1}    0.43{col 46}{space 3}0.666{col 54}{space 4}-.1575405{col 67}{space 3}  .246619
{txt}c_tfull_b_~s {c |}{col 14}{res}{space 2} .0306139{col 26}{space 2} .1138442{col 37}{space 1}    0.27{col 46}{space 3}0.788{col 54}{space 4}-.1925537{col 67}{space 3} .2537816
{txt}c_tfull_b_~d {c |}{col 14}{res}{space 2} .0084771{col 26}{space 2} .0320702{col 37}{space 1}    0.26{col 46}{space 3}0.792{col 54}{space 4}-.0543897{col 67}{space 3}  .071344
{txt}c_tfull_ed~r {c |}{col 14}{res}{space 2} .0014513{col 26}{space 2} .0023247{col 37}{space 1}    0.62{col 46}{space 3}0.532{col 54}{space 4}-.0031057{col 67}{space 3} .0060083
{txt}c_tfull_b_~x {c |}{col 14}{res}{space 2} .0029626{col 26}{space 2} .0136349{col 37}{space 1}    0.22{col 46}{space 3}0.828{col 54}{space 4}-.0237658{col 67}{space 3}  .029691
{txt}c_trea~l_hc2 {c |}{col 14}{res}{space 2}-.0180383{col 26}{space 2} .0876167{col 37}{space 1}   -0.21{col 46}{space 3}0.837{col 54}{space 4}-.1897925{col 67}{space 3} .1537159
{txt}c_treatful.. {c |}{col 14}{res}{space 2}  .038891{col 26}{space 2} .1078981{col 37}{space 1}    0.36{col 46}{space 3}0.719{col 54}{space 4}-.1726206{col 67}{space 3} .2504026
{txt}c_treatful.. {c |}{col 14}{res}{space 2}-.0410502{col 26}{space 2} .1252562{col 37}{space 1}   -0.33{col 46}{space 3}0.743{col 54}{space 4}-.2865888{col 67}{space 3} .2044885
{txt}c_treatful.. {c |}{col 14}{res}{space 2} .0523947{col 26}{space 2} .0477388{col 37}{space 1}    1.10{col 46}{space 3}0.272{col 54}{space 4}-.0411872{col 67}{space 3} .1459767
{txt}c_treatful.. {c |}{col 14}{res}{space 2} -.000534{col 26}{space 2} .0031339{col 37}{space 1}   -0.17{col 46}{space 3}0.865{col 54}{space 4}-.0066774{col 67}{space 3} .0056094
{txt}c_treatful.. {c |}{col 14}{res}{space 2}-.0008143{col 26}{space 2} .0188366{col 37}{space 1}   -0.04{col 46}{space 3}0.966{col 54}{space 4}-.0377396{col 67}{space 3} .0361109
{txt}_Idistrict_2 {c |}{col 14}{res}{space 2}-.1575661{col 26}{space 2} .1065263{col 37}{space 1}   -1.48{col 46}{space 3}0.139{col 54}{space 4}-.3663887{col 67}{space 3} .0512566
{txt}_Idistrict_3 {c |}{col 14}{res}{space 2}  .025896{col 26}{space 2}  .096619{col 37}{space 1}    0.27{col 46}{space 3}0.789{col 54}{space 4}-.1635054{col 67}{space 3} .2152974
{txt}_Idistrict_4 {c |}{col 14}{res}{space 2}-.2135512{col 26}{space 2} .1029323{col 37}{space 1}   -2.07{col 46}{space 3}0.038{col 54}{space 4}-.4153284{col 67}{space 3} -.011774
{txt}_Idistrict_5 {c |}{col 14}{res}{space 2}-.0990623{col 26}{space 2}  .106736{col 37}{space 1}   -0.93{col 46}{space 3}0.353{col 54}{space 4} -.308296{col 67}{space 3} .1101713
{txt}_Idistrict_6 {c |}{col 14}{res}{space 2}-.0108714{col 26}{space 2} .1903169{col 37}{space 1}   -0.06{col 46}{space 3}0.954{col 54}{space 4}-.3839479{col 67}{space 3} .3622051
{txt}_Idistrict_7 {c |}{col 14}{res}{space 2} .0287652{col 26}{space 2} .1187075{col 37}{space 1}    0.24{col 46}{space 3}0.809{col 54}{space 4}-.2039359{col 67}{space 3} .2614664
{txt}_Idistrict_8 {c |}{col 14}{res}{space 2} .3668355{col 26}{space 2} .1256704{col 37}{space 1}    2.92{col 46}{space 3}0.004{col 54}{space 4}  .120485{col 67}{space 3} .6131859
{txt}_Idistrict_9 {c |}{col 14}{res}{space 2}-.0509399{col 26}{space 2} .1096516{col 37}{space 1}   -0.46{col 46}{space 3}0.642{col 54}{space 4}-.2658889{col 67}{space 3}  .164009
{txt}_Idistric~10 {c |}{col 14}{res}{space 2}-.2006358{col 26}{space 2} .1368998{col 37}{space 1}   -1.47{col 46}{space 3}0.143{col 54}{space 4}-.4689993{col 67}{space 3} .0677276
{txt}_Idistric~11 {c |}{col 14}{res}{space 2}-.2698622{col 26}{space 2} .1128176{col 37}{space 1}   -2.39{col 46}{space 3}0.017{col 54}{space 4}-.4910176{col 67}{space 3}-.0487069
{txt}_Idistric~12 {c |}{col 14}{res}{space 2}-.0131175{col 26}{space 2} .1033769{col 37}{space 1}   -0.13{col 46}{space 3}0.899{col 54}{space 4}-.2157663{col 67}{space 3} .1895313
{txt}_Idistric~13 {c |}{col 14}{res}{space 2} .0589723{col 26}{space 2} .0907499{col 37}{space 1}    0.65{col 46}{space 3}0.516{col 54}{space 4} -.118924{col 67}{space 3} .2368685
{txt}_Idistric~14 {c |}{col 14}{res}{space 2} .0238433{col 26}{space 2}  .118821{col 37}{space 1}    0.20{col 46}{space 3}0.841{col 54}{space 4}-.2090804{col 67}{space 3} .2567671
{txt}_Idistric~15 {c |}{col 14}{res}{space 2} -.033218{col 26}{space 2} .1055713{col 37}{space 1}   -0.31{col 46}{space 3}0.753{col 54}{space 4}-.2401686{col 67}{space 3} .1737325
{txt}_Idistric~16 {c |}{col 14}{res}{space 2} .1616361{col 26}{space 2} .1279386{col 37}{space 1}    1.26{col 46}{space 3}0.206{col 54}{space 4}-.0891607{col 67}{space 3} .4124329
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} .2727346{col 26}{space 2}  .091245{col 37}{space 1}    2.99{col 46}{space 3}0.003{col 54}{space 4}  .093868{col 67}{space 3} .4516013
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

Parente-Santos Silva test for intra-cluster correlation
         Ho: No intra-cluster correlation

            T{col 17}=  {res}60.782
{txt}         P>|T|  =  {res} 0.000
{txt}i.district{col 19}_Idistrict_1-16{col 39}(naturally coded; _Idistrict_1 omitted)
note: b_commtg_z_d omitted because of collinearity
{res}
{txt}.7 Quantile regression
R-squared = {res}.08776761
{txt}Number of obs = {res}7288
{txt}Objective function = {res}.17091011

{txt}Standard errors adjusted for {res}187{txt} clusters in hc_id
{res}{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}  e_commtg_z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2}-.0016211{col 26}{space 2} .0376297{col 37}{space 1}   -0.04{col 46}{space 3}0.966{col 54}{space 4}-.0753863{col 67}{space 3}  .072144
{txt}{space 2}b_commtg_z {c |}{col 14}{res}{space 2} .0588105{col 26}{space 2} .0133999{col 37}{space 1}    4.39{col 46}{space 3}0.000{col 54}{space 4} .0325428{col 67}{space 3} .0850783
{txt}b_commtg_z_d {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 1}c_tfull_hc2 {c |}{col 14}{res}{space 2} .1026191{col 26}{space 2} .0746249{col 37}{space 1}    1.38{col 46}{space 3}0.169{col 54}{space 4}-.0436674{col 67}{space 3} .2489055
{txt}c_tfull_b_~l {c |}{col 14}{res}{space 2} .0481623{col 26}{space 2} .0817898{col 37}{space 1}    0.59{col 46}{space 3}0.556{col 54}{space 4}-.1121694{col 67}{space 3}  .208494
{txt}c_tfull_b_~s {c |}{col 14}{res}{space 2} .0233135{col 26}{space 2} .0988202{col 37}{space 1}    0.24{col 46}{space 3}0.814{col 54}{space 4}-.1704028{col 67}{space 3} .2170297
{txt}c_tfull_b_~d {c |}{col 14}{res}{space 2} .0076823{col 26}{space 2} .0483146{col 37}{space 1}    0.16{col 46}{space 3}0.874{col 54}{space 4}-.0870284{col 67}{space 3} .1023931
{txt}c_tfull_ed~r {c |}{col 14}{res}{space 2} .0008427{col 26}{space 2} .0023101{col 37}{space 1}    0.36{col 46}{space 3}0.715{col 54}{space 4}-.0036857{col 67}{space 3} .0053711
{txt}c_tfull_b_~x {c |}{col 14}{res}{space 2} .0022704{col 26}{space 2} .0122599{col 37}{space 1}    0.19{col 46}{space 3}0.853{col 54}{space 4}-.0217625{col 67}{space 3} .0263034
{txt}c_trea~l_hc2 {c |}{col 14}{res}{space 2}-.0218557{col 26}{space 2} .0847735{col 37}{space 1}   -0.26{col 46}{space 3}0.797{col 54}{space 4}-.1880364{col 67}{space 3} .1443251
{txt}c_treatful.. {c |}{col 14}{res}{space 2} .0337293{col 26}{space 2} .0809274{col 37}{space 1}    0.42{col 46}{space 3}0.677{col 54}{space 4}-.1249119{col 67}{space 3} .1923705
{txt}c_treatful.. {c |}{col 14}{res}{space 2} .0025045{col 26}{space 2}  .117391{col 37}{space 1}    0.02{col 46}{space 3}0.983{col 54}{space 4} -.227616{col 67}{space 3} .2326251
{txt}c_treatful.. {c |}{col 14}{res}{space 2} .0398448{col 26}{space 2} .0572062{col 37}{space 1}    0.70{col 46}{space 3}0.486{col 54}{space 4} -.072296{col 67}{space 3} .1519855
{txt}c_treatful.. {c |}{col 14}{res}{space 2} 5.66e-06{col 26}{space 2} .0031408{col 37}{space 1}    0.00{col 46}{space 3}0.999{col 54}{space 4}-.0061512{col 67}{space 3} .0061625
{txt}c_treatful.. {c |}{col 14}{res}{space 2} .0046651{col 26}{space 2} .0187005{col 37}{space 1}    0.25{col 46}{space 3}0.803{col 54}{space 4}-.0319932{col 67}{space 3} .0413235
{txt}_Idistrict_2 {c |}{col 14}{res}{space 2}-.1368029{col 26}{space 2} .1317402{col 37}{space 1}   -1.04{col 46}{space 3}0.299{col 54}{space 4} -.395052{col 67}{space 3} .1214463
{txt}_Idistrict_3 {c |}{col 14}{res}{space 2}-.0137638{col 26}{space 2} .0904185{col 37}{space 1}   -0.15{col 46}{space 3}0.879{col 54}{space 4}-.1910103{col 67}{space 3} .1634827
{txt}_Idistrict_4 {c |}{col 14}{res}{space 2}-.2154439{col 26}{space 2} .0974996{col 37}{space 1}   -2.21{col 46}{space 3}0.027{col 54}{space 4}-.4065714{col 67}{space 3}-.0243164
{txt}_Idistrict_5 {c |}{col 14}{res}{space 2}-.1614356{col 26}{space 2} .1041124{col 37}{space 1}   -1.55{col 46}{space 3}0.121{col 54}{space 4}-.3655261{col 67}{space 3}  .042655
{txt}_Idistrict_6 {c |}{col 14}{res}{space 2} -.005651{col 26}{space 2} .1113892{col 37}{space 1}   -0.05{col 46}{space 3}0.960{col 54}{space 4}-.2240063{col 67}{space 3} .2127043
{txt}_Idistrict_7 {c |}{col 14}{res}{space 2} .0059311{col 26}{space 2} .1089112{col 37}{space 1}    0.05{col 46}{space 3}0.957{col 54}{space 4}-.2075665{col 67}{space 3} .2194286
{txt}_Idistrict_8 {c |}{col 14}{res}{space 2} .3274424{col 26}{space 2} .0885887{col 37}{space 1}    3.70{col 46}{space 3}0.000{col 54}{space 4} .1537828{col 67}{space 3} .5011019
{txt}_Idistrict_9 {c |}{col 14}{res}{space 2}-.0852864{col 26}{space 2} .1858913{col 37}{space 1}   -0.46{col 46}{space 3}0.646{col 54}{space 4}-.4496874{col 67}{space 3} .2791146
{txt}_Idistric~10 {c |}{col 14}{res}{space 2}-.2615202{col 26}{space 2} .1569992{col 37}{space 1}   -1.67{col 46}{space 3}0.096{col 54}{space 4}-.5692844{col 67}{space 3}  .046244
{txt}_Idistric~11 {c |}{col 14}{res}{space 2}-.2514751{col 26}{space 2} .1349908{col 37}{space 1}   -1.86{col 46}{space 3}0.063{col 54}{space 4}-.5160964{col 67}{space 3} .0131462
{txt}_Idistric~12 {c |}{col 14}{res}{space 2}-.0482839{col 26}{space 2} .1070913{col 37}{space 1}   -0.45{col 46}{space 3}0.652{col 54}{space 4}-.2582141{col 67}{space 3} .1616463
{txt}_Idistric~13 {c |}{col 14}{res}{space 2} .0084356{col 26}{space 2} .0888518{col 37}{space 1}    0.09{col 46}{space 3}0.924{col 54}{space 4}-.1657398{col 67}{space 3} .1826109
{txt}_Idistric~14 {c |}{col 14}{res}{space 2}-.0131355{col 26}{space 2} .1217087{col 37}{space 1}   -0.11{col 46}{space 3}0.914{col 54}{space 4}  -.25172{col 67}{space 3}  .225449
{txt}_Idistric~15 {c |}{col 14}{res}{space 2}-.0766394{col 26}{space 2} .0951353{col 37}{space 1}   -0.81{col 46}{space 3}0.421{col 54}{space 4}-.2631322{col 67}{space 3} .1098534
{txt}_Idistric~16 {c |}{col 14}{res}{space 2} .2066019{col 26}{space 2} .1308319{col 37}{space 1}    1.58{col 46}{space 3}0.114{col 54}{space 4}-.0498667{col 67}{space 3} .4630704
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} .3934693{col 26}{space 2}  .087755{col 37}{space 1}    4.48{col 46}{space 3}0.000{col 54}{space 4}  .221444{col 67}{space 3} .5654945
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

Parente-Santos Silva test for intra-cluster correlation
         Ho: No intra-cluster correlation

            T{col 17}=  {res}66.215
{txt}         P>|T|  =  {res} 0.000
{txt}i.district{col 19}_Idistrict_1-16{col 39}(naturally coded; _Idistrict_1 omitted)
note: b_commtg_z_d omitted because of collinearity
{res}
{txt}.8 Quantile regression
R-squared = {res}.07023115
{txt}Number of obs = {res}7288
{txt}Objective function = {res}.13287068

{txt}Standard errors adjusted for {res}187{txt} clusters in hc_id
{res}{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}  e_commtg_z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2}  .007941{col 26}{space 2} .0399704{col 37}{space 1}    0.20{col 46}{space 3}0.843{col 54}{space 4}-.0704127{col 67}{space 3} .0862947
{txt}{space 2}b_commtg_z {c |}{col 14}{res}{space 2} .0691398{col 26}{space 2} .0144078{col 37}{space 1}    4.80{col 46}{space 3}0.000{col 54}{space 4} .0408963{col 67}{space 3} .0973833
{txt}b_commtg_z_d {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 1}c_tfull_hc2 {c |}{col 14}{res}{space 2} .1450489{col 26}{space 2} .0775578{col 37}{space 1}    1.87{col 46}{space 3}0.061{col 54}{space 4} -.006987{col 67}{space 3} .2970848
{txt}c_tfull_b_~l {c |}{col 14}{res}{space 2} .0803185{col 26}{space 2} .1012451{col 37}{space 1}    0.79{col 46}{space 3}0.428{col 54}{space 4}-.1181513{col 67}{space 3} .2787882
{txt}c_tfull_b_~s {c |}{col 14}{res}{space 2} .0916883{col 26}{space 2} .1074672{col 37}{space 1}    0.85{col 46}{space 3}0.394{col 54}{space 4}-.1189787{col 67}{space 3} .3023553
{txt}c_tfull_b_~d {c |}{col 14}{res}{space 2}-.0462368{col 26}{space 2} .0856365{col 37}{space 1}   -0.54{col 46}{space 3}0.589{col 54}{space 4}-.2141091{col 67}{space 3} .1216356
{txt}c_tfull_ed~r {c |}{col 14}{res}{space 2} .0009996{col 26}{space 2} .0024594{col 37}{space 1}    0.41{col 46}{space 3}0.684{col 54}{space 4}-.0038216{col 67}{space 3} .0058208
{txt}c_tfull_b_~x {c |}{col 14}{res}{space 2} .0049633{col 26}{space 2} .0130851{col 37}{space 1}    0.38{col 46}{space 3}0.704{col 54}{space 4}-.0206874{col 67}{space 3}  .030614
{txt}c_trea~l_hc2 {c |}{col 14}{res}{space 2}-.0939213{col 26}{space 2} .0809602{col 37}{space 1}   -1.16{col 46}{space 3}0.246{col 54}{space 4}-.2526268{col 67}{space 3} .0647842
{txt}c_treatful.. {c |}{col 14}{res}{space 2}-.0027179{col 26}{space 2} .0996931{col 37}{space 1}   -0.03{col 46}{space 3}0.978{col 54}{space 4}-.1981454{col 67}{space 3} .1927095
{txt}c_treatful.. {c |}{col 14}{res}{space 2} .0709243{col 26}{space 2} .0867992{col 37}{space 1}    0.82{col 46}{space 3}0.414{col 54}{space 4}-.0992274{col 67}{space 3}  .241076
{txt}c_treatful.. {c |}{col 14}{res}{space 2} .1660554{col 26}{space 2} .0933983{col 37}{space 1}    1.78{col 46}{space 3}0.075{col 54}{space 4}-.0170325{col 67}{space 3} .3491432
{txt}c_treatful.. {c |}{col 14}{res}{space 2}-.0015083{col 26}{space 2} .0031797{col 37}{space 1}   -0.47{col 46}{space 3}0.635{col 54}{space 4}-.0077414{col 67}{space 3} .0047248
{txt}c_treatful.. {c |}{col 14}{res}{space 2} .0232436{col 26}{space 2} .0222569{col 37}{space 1}    1.04{col 46}{space 3}0.296{col 54}{space 4}-.0203863{col 67}{space 3} .0668735
{txt}_Idistrict_2 {c |}{col 14}{res}{space 2}-.1608508{col 26}{space 2} .1326704{col 37}{space 1}   -1.21{col 46}{space 3}0.225{col 54}{space 4}-.4209233{col 67}{space 3} .0992217
{txt}_Idistrict_3 {c |}{col 14}{res}{space 2}-.1403754{col 26}{space 2} .1353758{col 37}{space 1}   -1.04{col 46}{space 3}0.300{col 54}{space 4}-.4057512{col 67}{space 3} .1250005
{txt}_Idistrict_4 {c |}{col 14}{res}{space 2}-.2965759{col 26}{space 2} .1412738{col 37}{space 1}   -2.10{col 46}{space 3}0.036{col 54}{space 4}-.5735136{col 67}{space 3}-.0196382
{txt}_Idistrict_5 {c |}{col 14}{res}{space 2}-.2585375{col 26}{space 2} .1707935{col 37}{space 1}   -1.51{col 46}{space 3}0.130{col 54}{space 4}-.5933425{col 67}{space 3} .0762675
{txt}_Idistrict_6 {c |}{col 14}{res}{space 2}-.1083225{col 26}{space 2} .1399859{col 37}{space 1}   -0.77{col 46}{space 3}0.439{col 54}{space 4}-.3827357{col 67}{space 3} .1660906
{txt}_Idistrict_7 {c |}{col 14}{res}{space 2}-.1025886{col 26}{space 2} .1547589{col 37}{space 1}   -0.66{col 46}{space 3}0.507{col 54}{space 4}-.4059611{col 67}{space 3} .2007838
{txt}_Idistrict_8 {c |}{col 14}{res}{space 2} .1524266{col 26}{space 2} .1238954{col 37}{space 1}    1.23{col 46}{space 3}0.219{col 54}{space 4}-.0904445{col 67}{space 3} .3952977
{txt}_Idistrict_9 {c |}{col 14}{res}{space 2}-.0916258{col 26}{space 2} .1614168{col 37}{space 1}   -0.57{col 46}{space 3}0.570{col 54}{space 4}-.4080497{col 67}{space 3} .2247982
{txt}_Idistric~10 {c |}{col 14}{res}{space 2}-.3899655{col 26}{space 2} .2282094{col 37}{space 1}   -1.71{col 46}{space 3}0.088{col 54}{space 4}-.8373224{col 67}{space 3} .0573914
{txt}_Idistric~11 {c |}{col 14}{res}{space 2}-.2714679{col 26}{space 2} .1439794{col 37}{space 1}   -1.89{col 46}{space 3}0.059{col 54}{space 4}-.5537093{col 67}{space 3} .0107735
{txt}_Idistric~12 {c |}{col 14}{res}{space 2} .0328346{col 26}{space 2} .1555348{col 37}{space 1}    0.21{col 46}{space 3}0.833{col 54}{space 4} -.272059{col 67}{space 3} .3377281
{txt}_Idistric~13 {c |}{col 14}{res}{space 2}-.0608118{col 26}{space 2} .1426885{col 37}{space 1}   -0.43{col 46}{space 3}0.670{col 54}{space 4}-.3405228{col 67}{space 3} .2188992
{txt}_Idistric~14 {c |}{col 14}{res}{space 2} .0063699{col 26}{space 2} .1627254{col 37}{space 1}    0.04{col 46}{space 3}0.969{col 54}{space 4}-.3126193{col 67}{space 3}  .325359
{txt}_Idistric~15 {c |}{col 14}{res}{space 2}-.1849501{col 26}{space 2} .1300189{col 37}{space 1}   -1.42{col 46}{space 3}0.155{col 54}{space 4} -.439825{col 67}{space 3} .0699248
{txt}_Idistric~16 {c |}{col 14}{res}{space 2} .2644529{col 26}{space 2} .1389806{col 37}{space 1}    1.90{col 46}{space 3}0.057{col 54}{space 4}-.0079895{col 67}{space 3} .5368952
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} .5724762{col 26}{space 2} .1300158{col 37}{space 1}    4.40{col 46}{space 3}0.000{col 54}{space 4} .3176074{col 67}{space 3} .8273451
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

Parente-Santos Silva test for intra-cluster correlation
         Ho: No intra-cluster correlation

            T{col 17}=  {res}44.791
{txt}         P>|T|  =  {res} 0.000
{txt}i.district{col 19}_Idistrict_1-16{col 39}(naturally coded; _Idistrict_1 omitted)
note: b_commtg_z_d omitted because of collinearity
{res}
{txt}.9 Quantile regression
R-squared = {res}.04693931
{txt}Number of obs = {res}7288
{txt}Objective function = {res}.07680827

{txt}Standard errors adjusted for {res}187{txt} clusters in hc_id
{res}{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}  e_commtg_z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2}   -.0145{col 26}{space 2} .0194592{col 37}{space 1}   -0.75{col 46}{space 3}0.456{col 54}{space 4}-.0526457{col 67}{space 3} .0236456
{txt}{space 2}b_commtg_z {c |}{col 14}{res}{space 2}-3.47e-16{col 26}{space 2} .0056537{col 37}{space 1}   -0.00{col 46}{space 3}1.000{col 54}{space 4}-.0110828{col 67}{space 3} .0110828
{txt}b_commtg_z_d {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 1}c_tfull_hc2 {c |}{col 14}{res}{space 2} 2.25e-15{col 26}{space 2} .0299069{col 37}{space 1}    0.00{col 46}{space 3}1.000{col 54}{space 4}-.0586261{col 67}{space 3} .0586261
{txt}c_tfull_b_~l {c |}{col 14}{res}{space 2} 2.68e-15{col 26}{space 2} .0417916{col 37}{space 1}    0.00{col 46}{space 3}1.000{col 54}{space 4}-.0819235{col 67}{space 3} .0819235
{txt}c_tfull_b_~s {c |}{col 14}{res}{space 2}-3.48e-15{col 26}{space 2} .0500441{col 37}{space 1}   -0.00{col 46}{space 3}1.000{col 54}{space 4}-.0981008{col 67}{space 3} .0981008
{txt}c_tfull_b_~d {c |}{col 14}{res}{space 2}-1.78e-15{col 26}{space 2}  .045085{col 37}{space 1}   -0.00{col 46}{space 3}1.000{col 54}{space 4}-.0883796{col 67}{space 3} .0883796
{txt}c_tfull_ed~r {c |}{col 14}{res}{space 2} 9.70e-17{col 26}{space 2} .0010599{col 37}{space 1}    0.00{col 46}{space 3}1.000{col 54}{space 4}-.0020777{col 67}{space 3} .0020777
{txt}c_tfull_b_~x {c |}{col 14}{res}{space 2} 1.77e-17{col 26}{space 2} .0055898{col 37}{space 1}    0.00{col 46}{space 3}1.000{col 54}{space 4}-.0109576{col 67}{space 3} .0109576
{txt}c_trea~l_hc2 {c |}{col 14}{res}{space 2}-2.16e-15{col 26}{space 2} .0345156{col 37}{space 1}   -0.00{col 46}{space 3}1.000{col 54}{space 4}-.0676605{col 67}{space 3} .0676605
{txt}c_treatful.. {c |}{col 14}{res}{space 2}-1.73e-15{col 26}{space 2} .0551789{col 37}{space 1}   -0.00{col 46}{space 3}1.000{col 54}{space 4}-.1081666{col 67}{space 3} .1081666
{txt}c_treatful.. {c |}{col 14}{res}{space 2} 1.79e-15{col 26}{space 2}  .055933{col 37}{space 1}    0.00{col 46}{space 3}1.000{col 54}{space 4}-.1096448{col 67}{space 3} .1096448
{txt}c_treatful.. {c |}{col 14}{res}{space 2} .1939013{col 26}{space 2} .1070273{col 37}{space 1}    1.81{col 46}{space 3}0.070{col 54}{space 4}-.0159032{col 67}{space 3} .4037059
{txt}c_treatful.. {c |}{col 14}{res}{space 2}-1.01e-16{col 26}{space 2} .0014168{col 37}{space 1}   -0.00{col 46}{space 3}1.000{col 54}{space 4}-.0027772{col 67}{space 3} .0027772
{txt}c_treatful.. {c |}{col 14}{res}{space 2} 1.17e-16{col 26}{space 2}  .007922{col 37}{space 1}    0.00{col 46}{space 3}1.000{col 54}{space 4}-.0155294{col 67}{space 3} .0155294
{txt}_Idistrict_2 {c |}{col 14}{res}{space 2}-2.25e-14{col 26}{space 2} .0598579{col 37}{space 1}   -0.00{col 46}{space 3}1.000{col 54}{space 4}-.1173389{col 67}{space 3} .1173389
{txt}_Idistrict_3 {c |}{col 14}{res}{space 2}-2.25e-14{col 26}{space 2} .0525174{col 37}{space 1}   -0.00{col 46}{space 3}1.000{col 54}{space 4}-.1029493{col 67}{space 3} .1029493
{txt}_Idistrict_4 {c |}{col 14}{res}{space 2}-.3047268{col 26}{space 2} .0609499{col 37}{space 1}   -5.00{col 46}{space 3}0.000{col 54}{space 4}-.4242063{col 67}{space 3}-.1852473
{txt}_Idistrict_5 {c |}{col 14}{res}{space 2}-2.35e-14{col 26}{space 2} .0617588{col 37}{space 1}   -0.00{col 46}{space 3}1.000{col 54}{space 4}-.1210651{col 67}{space 3} .1210651
{txt}_Idistrict_6 {c |}{col 14}{res}{space 2}-2.27e-14{col 26}{space 2} .0566073{col 37}{space 1}   -0.00{col 46}{space 3}1.000{col 54}{space 4}-.1109667{col 67}{space 3} .1109667
{txt}_Idistrict_7 {c |}{col 14}{res}{space 2}-2.18e-14{col 26}{space 2} .0563063{col 37}{space 1}   -0.00{col 46}{space 3}1.000{col 54}{space 4}-.1103767{col 67}{space 3} .1103767
{txt}_Idistrict_8 {c |}{col 14}{res}{space 2}-2.27e-14{col 26}{space 2}   .05045{col 37}{space 1}   -0.00{col 46}{space 3}1.000{col 54}{space 4}-.0988966{col 67}{space 3} .0988966
{txt}_Idistrict_9 {c |}{col 14}{res}{space 2}-2.24e-14{col 26}{space 2} .0847247{col 37}{space 1}   -0.00{col 46}{space 3}1.000{col 54}{space 4} -.166085{col 67}{space 3}  .166085
{txt}_Idistric~10 {c |}{col 14}{res}{space 2}-.2614524{col 26}{space 2} .0688038{col 37}{space 1}   -3.80{col 46}{space 3}0.000{col 54}{space 4}-.3963277{col 67}{space 3} -.126577
{txt}_Idistric~11 {c |}{col 14}{res}{space 2}-.3581322{col 26}{space 2} .1758825{col 37}{space 1}   -2.04{col 46}{space 3}0.042{col 54}{space 4}-.7029129{col 67}{space 3}-.0133515
{txt}_Idistric~12 {c |}{col 14}{res}{space 2}-2.27e-14{col 26}{space 2} .0523621{col 37}{space 1}   -0.00{col 46}{space 3}1.000{col 54}{space 4}-.1026449{col 67}{space 3} .1026449
{txt}_Idistric~13 {c |}{col 14}{res}{space 2}-2.49e-14{col 26}{space 2} .0518686{col 37}{space 1}   -0.00{col 46}{space 3}1.000{col 54}{space 4}-.1016775{col 67}{space 3} .1016775
{txt}_Idistric~14 {c |}{col 14}{res}{space 2}-2.42e-14{col 26}{space 2} .0716491{col 37}{space 1}   -0.00{col 46}{space 3}1.000{col 54}{space 4} -.140453{col 67}{space 3}  .140453
{txt}_Idistric~15 {c |}{col 14}{res}{space 2}-2.21e-14{col 26}{space 2} .0566617{col 37}{space 1}   -0.00{col 46}{space 3}1.000{col 54}{space 4}-.1110734{col 67}{space 3} .1110734
{txt}_Idistric~16 {c |}{col 14}{res}{space 2}-2.43e-14{col 26}{space 2} .0628698{col 37}{space 1}   -0.00{col 46}{space 3}1.000{col 54}{space 4}-.1232431{col 67}{space 3} .1232431
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} .7934217{col 26}{space 2}  .049722{col 37}{space 1}   15.96{col 46}{space 3}0.000{col 54}{space 4} .6959522{col 67}{space 3} .8908912
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

Parente-Santos Silva test for intra-cluster correlation
         Ho: No intra-cluster correlation

            T{col 17}=  {res}56.105
{txt}         P>|T|  =  {res} 0.000
{txt}
{com}. 
.         
.         coefplot (m1_1 \ m1_2 \ m1_3 \ m1_4 \ m1_5 \ m1_6 \ m1_7 \ m1_8 \ m1_9), keep(`var') yline(0, lcolor(gray)) yline(`est_urate_z', lcolor(red)) vertical scheme(s1mono) mcolor(blue) mlcolor(blue) levels(95 90) ciopts(lcolor(blue blue) lwidth(medium thick)) grid(none) ytick(-.4 -.2 0 .2 .4) ylabel(-.4 -.2 0 .2 .4) aseq swapnames coeflabels(m1_1 = "0.1" m1_2 = "0.2" m1_3 = "0.3" m1_4 = "0.4" m1_5 = "0.5" m1_6 = "0.6" m1_7 = "0.7" m1_8 = "0.8" m1_9 = "0.9")   subtitle("Quantile regression: Utilization index") b1title("Quantile") l1title("Utilization index") note("Displaying 95% and 90% confidence intervals")
{res}{txt}
{com}.         qui graph export "${c -(}Figures{c )-}/Figure7c_utilization.png", replace
{txt}
{com}. 
.         coefplot (m2_1 \ m2_2 \ m2_3 \ m2_4 \ m2_5 \ m2_6 \ m2_7 \ m2_8 \ m2_9), keep(`var') yline(0, lcolor(gray)) yline(`est_treatqual_z', lcolor(red)) vertical scheme(s1mono) mcolor(blue) mlcolor(blue) levels(95 90) ciopts(lcolor(blue blue) lwidth(medium thick)) grid(none) ytick(-.4 -.2 0 .2 .4) ylabel(-.4 -.2 0 .2 .4) aseq swapnames coeflabels(m2_1 = "0.1" m2_2 = "0.2" m2_3 = "0.3" m2_4 = "0.4" m2_5 = "0.5" m2_6 = "0.6" m2_7 = "0.7" m2_8 = "0.8" m2_9 = "0.9")   subtitle("Quantile regression: Treatment quality index") b1title("Quantile") l1title("Treatment quality index") note("Displaying 95% and 90% confidence intervals")
{res}{txt}
{com}.         qui graph export "${c -(}Figures{c )-}/Figure7d_treatqual.png", replace
{txt}
{com}. 
.         coefplot (m3_1 \ m3_2 \ m3_3 \ m3_4 \ m3_5 \ m3_6 \ m3_7 \ m3_8 \ m3_9), keep(`var') yline(0, lcolor(gray)) yline(`est_patsat_z', lcolor(red)) vertical scheme(s1mono) mcolor(blue) mlcolor(blue) levels(95 90) ciopts(lcolor(blue blue) lwidth(medium thick)) grid(none) ytick(-.4 -.2 0 .2 .4) ylabel(-.4 -.2 0 .2 .4) aseq swapnames coeflabels(m3_1 = "0.1" m3_2 = "0.2" m3_3 = "0.3" m3_4 = "0.4" m3_5 = "0.5" m3_6 = "0.6" m3_7 = "0.7" m3_8 = "0.8" m3_9 = "0.9")   subtitle("Quantile regression: Patient satisfaction index") b1title("Quantile") l1title("Patient satisfaction index") note("Displaying 95% and 90% confidence intervals")
{res}{txt}
{com}.         qui graph export "${c -(}Figures{c )-}/Figure7e_patsat.png", replace
{txt}
{com}.         
.         coefplot (m4_1 \ m4_2 \ m4_3 \ m4_4 \ m4_5 \ m4_6 \ m4_7 \ m4_8 \ m4_9), keep(`var') yline(0, lcolor(gray)) yline(`est_commtg_z', lcolor(red)) vertical scheme(s1mono) mcolor(blue) mlcolor(blue) levels(95 90) ciopts(lcolor(blue blue) lwidth(medium thick)) grid(none) ytick(-.4 -.2 0 .2 .4) ylabel(-.4 -.2 0 .2 .4) aseq swapnames coeflabels(m4_1 = "0.1" m4_2 = "0.2" m4_3 = "0.3" m4_4 = "0.4" m4_5 = "0.5" m4_6 = "0.6" m4_7 = "0.7" m4_8 = "0.8" m4_9 = "0.9")   subtitle("Quantile regression: Citizen monitoring index") b1title("Quantile") l1title("Citizen monitoring index") note("Displaying 95% and 90% confidence intervals")
{res}{txt}
{com}.         qui graph export "${c -(}Figures{c )-}/Figure7a_ctzmonitoring.png", replace
{txt}
{com}. 
.         eststo clear
{txt}
{com}.         
.         * Health outcome 
.         
.         local z = 0
{txt}
{com}.         foreach x in `indices_ho' {c -(}
{txt}  2{com}.                 local z = `z' + 1
{txt}  3{com}.                 
.                 areg  e_`x' `var' b_`x' b_`x'_d `e_controls_tfull_hoe' `tfulli_hoe_e_controls', robust cl(hc_id) a(district)
{txt}  4{com}.                 
.                 local est_`x' = _b[`var']
{txt}  5{com}.                 
.                 forvalues y = 1/9 {c -(}
{txt}  6{com}.                         xi: qreg2 e_`x' `var' b_`x' b_`x'_d `e_controls_tfull_hoe' `tfulli_hoe_e_controls' i.district, q(.`y') cl(hc_id)
{txt}  7{com}.                         estimates store m`z'_`y'
{txt}  8{com}.                         {c )-}
{txt}  9{com}.                 {c )-}
{txt}note: b_healthout_z_d omitted because of collinearity
{res}
{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}     4,212
{txt}{col 49}F({res}  14{txt},{res}    186{txt}){col 67}= {res}      8.98
{txt}{col 49}Prob > F{col 67}= {res}    0.0000
{txt}{col 49}R-squared{col 67}= {res}    0.0261
{txt}{col 49}Adj R-squared{col 67}= {res}    0.0193
{txt}{col 49}Root MSE{col 67}= {res}    0.8930

{txt}{ralign 78:(Std. Err. adjusted for {res:187} clusters in hc_id)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}e_health~t_z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2}-.0206342{col 26}{space 2} .0274299{col 37}{space 1}   -0.75{col 46}{space 3}0.453{col 54}{space 4} -.074748{col 67}{space 3} .0334795
{txt}b_health~t_z {c |}{col 14}{res}{space 2} .1564323{col 26}{space 2} .0195138{col 37}{space 1}    8.02{col 46}{space 3}0.000{col 54}{space 4} .1179356{col 67}{space 3} .1949291
{txt}b_healthou~d {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
c_~l_hoe_hc2 {c |}{col 14}{res}{space 2} .0615508{col 26}{space 2} .0566322{col 37}{space 1}    1.09{col 46}{space 3}0.279{col 54}{space 4}-.0501732{col 67}{space 3} .1732748
{txt}c_tfull_ho.. {c |}{col 14}{res}{space 2} .0078514{col 26}{space 2} .0721689{col 37}{space 1}    0.11{col 46}{space 3}0.913{col 54}{space 4}-.1345233{col 67}{space 3} .1502262
{txt}c_tfull_ho.. {c |}{col 14}{res}{space 2}  .027845{col 26}{space 2} .0775524{col 37}{space 1}    0.36{col 46}{space 3}0.720{col 54}{space 4}-.1251504{col 67}{space 3} .1808404
{txt}c_tfull_ho.. {c |}{col 14}{res}{space 2}-.0618886{col 26}{space 2} .0803464{col 37}{space 1}   -0.77{col 46}{space 3}0.442{col 54}{space 4}-.2203961{col 67}{space 3} .0966188
{txt}c_tfull_ho.. {c |}{col 14}{res}{space 2} .0088012{col 26}{space 2} .0060202{col 37}{space 1}    1.46{col 46}{space 3}0.145{col 54}{space 4}-.0030754{col 67}{space 3} .0206778
{txt}c_tfull_ho.. {c |}{col 14}{res}{space 2} .0790224{col 26}{space 2} .0247342{col 37}{space 1}    3.19{col 46}{space 3}0.002{col 54}{space 4} .0302269{col 67}{space 3}  .127818
{txt}c~li_hoe_hc2 {c |}{col 14}{res}{space 2}-.0741213{col 26}{space 2} .0666938{col 37}{space 1}   -1.11{col 46}{space 3}0.268{col 54}{space 4}-.2056947{col 67}{space 3} .0574522
{txt}c_tfulli_h.. {c |}{col 14}{res}{space 2}-.0754418{col 26}{space 2} .0770044{col 37}{space 1}   -0.98{col 46}{space 3}0.329{col 54}{space 4}-.2273562{col 67}{space 3} .0764725
{txt}c_tfulli_h.. {c |}{col 14}{res}{space 2}-.0353814{col 26}{space 2} .0838006{col 37}{space 1}   -0.42{col 46}{space 3}0.673{col 54}{space 4}-.2007033{col 67}{space 3} .1299404
{txt}c_tfulli_h.. {c |}{col 14}{res}{space 2} -.053808{col 26}{space 2} .1060346{col 37}{space 1}   -0.51{col 46}{space 3}0.612{col 54}{space 4}-.2629932{col 67}{space 3} .1553771
{txt}c_tfulli_h.. {c |}{col 14}{res}{space 2}-.0000966{col 26}{space 2} .0075607{col 37}{space 1}   -0.01{col 46}{space 3}0.990{col 54}{space 4}-.0150124{col 67}{space 3} .0148191
{txt}c_tfulli_h.. {c |}{col 14}{res}{space 2}-.0534524{col 26}{space 2} .0293086{col 37}{space 1}   -1.82{col 46}{space 3}0.070{col 54}{space 4}-.1112725{col 67}{space 3} .0043676
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} .0038608{col 26}{space 2} .0210533{col 37}{space 1}    0.18{col 46}{space 3}0.855{col 54}{space 4}-.0376732{col 67}{space 3} .0453948
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)
i.district{col 19}_Idistrict_1-16{col 39}(naturally coded; _Idistrict_1 omitted)
note: b_healthout_z_d omitted because of collinearity
{res}
{txt}.1 Quantile regression
R-squared = {res}.0182939
{txt}Number of obs = {res}4212
{txt}Objective function = {res}.10972757

{txt}Standard errors adjusted for {res}187{txt} clusters in hc_id
{res}{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}e_health~t_z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2} .0179922{col 26}{space 2} .0260155{col 37}{space 1}    0.69{col 46}{space 3}0.489{col 54}{space 4}-.0330121{col 67}{space 3} .0689964
{txt}b_health~t_z {c |}{col 14}{res}{space 2} .2002039{col 26}{space 2} .0204853{col 37}{space 1}    9.77{col 46}{space 3}0.000{col 54}{space 4} .1600417{col 67}{space 3}  .240366
{txt}b_healthou~d {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
c_~l_hoe_hc2 {c |}{col 14}{res}{space 2}-1.66e-06{col 26}{space 2}  .051846{col 37}{space 1}   -0.00{col 46}{space 3}1.000{col 54}{space 4}-.1016474{col 67}{space 3} .1016441
{txt}c_tfull_ho.. {c |}{col 14}{res}{space 2} .0615642{col 26}{space 2} .0605813{col 37}{space 1}    1.02{col 46}{space 3}0.310{col 54}{space 4}-.0572073{col 67}{space 3} .1803357
{txt}c_tfull_ho.. {c |}{col 14}{res}{space 2}-.0924884{col 26}{space 2} .0552857{col 37}{space 1}   -1.67{col 46}{space 3}0.094{col 54}{space 4}-.2008779{col 67}{space 3}  .015901
{txt}c_tfull_ho.. {c |}{col 14}{res}{space 2}-.0787241{col 26}{space 2} .0541831{col 37}{space 1}   -1.45{col 46}{space 3}0.146{col 54}{space 4}-.1849518{col 67}{space 3} .0275036
{txt}c_tfull_ho.. {c |}{col 14}{res}{space 2} .0066278{col 26}{space 2} .0046966{col 37}{space 1}    1.41{col 46}{space 3}0.158{col 54}{space 4}-.0025801{col 67}{space 3} .0158357
{txt}c_tfull_ho.. {c |}{col 14}{res}{space 2} .0455169{col 26}{space 2}  .020156{col 37}{space 1}    2.26{col 46}{space 3}0.024{col 54}{space 4} .0060005{col 67}{space 3} .0850333
{txt}c~li_hoe_hc2 {c |}{col 14}{res}{space 2}-.0558417{col 26}{space 2} .0629891{col 37}{space 1}   -0.89{col 46}{space 3}0.375{col 54}{space 4}-.1793338{col 67}{space 3} .0676503
{txt}c_tfulli_h.. {c |}{col 14}{res}{space 2}-.1468611{col 26}{space 2} .0726571{col 37}{space 1}   -2.02{col 46}{space 3}0.043{col 54}{space 4}-.2893076{col 67}{space 3}-.0044145
{txt}c_tfulli_h.. {c |}{col 14}{res}{space 2} .1315989{col 26}{space 2} .0755964{col 37}{space 1}    1.74{col 46}{space 3}0.082{col 54}{space 4}-.0166103{col 67}{space 3} .2798081
{txt}c_tfulli_h.. {c |}{col 14}{res}{space 2} .0666407{col 26}{space 2}  .092385{col 37}{space 1}    0.72{col 46}{space 3}0.471{col 54}{space 4} -.114483{col 67}{space 3} .2477645
{txt}c_tfulli_h.. {c |}{col 14}{res}{space 2}-.0021397{col 26}{space 2} .0069411{col 37}{space 1}   -0.31{col 46}{space 3}0.758{col 54}{space 4} -.015748{col 67}{space 3} .0114685
{txt}c_tfulli_h.. {c |}{col 14}{res}{space 2} .0014793{col 26}{space 2} .0266565{col 37}{space 1}    0.06{col 46}{space 3}0.956{col 54}{space 4}-.0507815{col 67}{space 3} .0537402
{txt}_Idistrict_2 {c |}{col 14}{res}{space 2} .2355531{col 26}{space 2} .1794403{col 37}{space 1}    1.31{col 46}{space 3}0.189{col 54}{space 4}-.1162453{col 67}{space 3} .5873515
{txt}_Idistrict_3 {c |}{col 14}{res}{space 2} .2772606{col 26}{space 2} .1742246{col 37}{space 1}    1.59{col 46}{space 3}0.112{col 54}{space 4}-.0643122{col 67}{space 3} .6188334
{txt}_Idistrict_4 {c |}{col 14}{res}{space 2} .2479929{col 26}{space 2} .1849532{col 37}{space 1}    1.34{col 46}{space 3}0.180{col 54}{space 4}-.1146136{col 67}{space 3} .6105994
{txt}_Idistrict_5 {c |}{col 14}{res}{space 2} .2119015{col 26}{space 2} .1799238{col 37}{space 1}    1.18{col 46}{space 3}0.239{col 54}{space 4}-.1408449{col 67}{space 3} .5646478
{txt}_Idistrict_6 {c |}{col 14}{res}{space 2} .1181883{col 26}{space 2} .1996742{col 37}{space 1}    0.59{col 46}{space 3}0.554{col 54}{space 4}-.2732792{col 67}{space 3} .5096559
{txt}_Idistrict_7 {c |}{col 14}{res}{space 2} .2068564{col 26}{space 2} .1792773{col 37}{space 1}    1.15{col 46}{space 3}0.249{col 54}{space 4}-.1446222{col 67}{space 3} .5583351
{txt}_Idistrict_8 {c |}{col 14}{res}{space 2} .1433249{col 26}{space 2} .1832452{col 37}{space 1}    0.78{col 46}{space 3}0.434{col 54}{space 4}-.2159331{col 67}{space 3}  .502583
{txt}_Idistrict_9 {c |}{col 14}{res}{space 2} .3637825{col 26}{space 2} .1722347{col 37}{space 1}    2.11{col 46}{space 3}0.035{col 54}{space 4} .0261109{col 67}{space 3} .7014541
{txt}_Idistric~10 {c |}{col 14}{res}{space 2} .1667076{col 26}{space 2} .1916729{col 37}{space 1}    0.87{col 46}{space 3}0.384{col 54}{space 4}-.2090731{col 67}{space 3} .5424884
{txt}_Idistric~11 {c |}{col 14}{res}{space 2} .2367916{col 26}{space 2} .1729089{col 37}{space 1}    1.37{col 46}{space 3}0.171{col 54}{space 4}-.1022017{col 67}{space 3} .5757849
{txt}_Idistric~12 {c |}{col 14}{res}{space 2} .1328899{col 26}{space 2} .1798995{col 37}{space 1}    0.74{col 46}{space 3}0.460{col 54}{space 4}-.2198087{col 67}{space 3} .4855885
{txt}_Idistric~13 {c |}{col 14}{res}{space 2} .1711126{col 26}{space 2}  .181276{col 37}{space 1}    0.94{col 46}{space 3}0.345{col 54}{space 4}-.1842847{col 67}{space 3} .5265099
{txt}_Idistric~14 {c |}{col 14}{res}{space 2} .2267371{col 26}{space 2} .1821831{col 37}{space 1}    1.24{col 46}{space 3}0.213{col 54}{space 4}-.1304386{col 67}{space 3} .5839128
{txt}_Idistric~15 {c |}{col 14}{res}{space 2} .0678325{col 26}{space 2} .1814139{col 37}{space 1}    0.37{col 46}{space 3}0.708{col 54}{space 4}-.2878352{col 67}{space 3} .4235002
{txt}_Idistric~16 {c |}{col 14}{res}{space 2} .0569867{col 26}{space 2} .1901917{col 37}{space 1}    0.30{col 46}{space 3}0.764{col 54}{space 4}-.3158901{col 67}{space 3} .4298635
{txt}{space 7}_cons {c |}{col 14}{res}{space 2}-1.024193{col 26}{space 2} .1727699{col 37}{space 1}   -5.93{col 46}{space 3}0.000{col 54}{space 4}-1.362914{col 67}{space 3}-.6854717
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

Parente-Santos Silva test for intra-cluster correlation
         Ho: No intra-cluster correlation

            T{col 17}=  {res}-1.206
{txt}         P>|T|  =  {res} 0.228
{txt}i.district{col 19}_Idistrict_1-16{col 39}(naturally coded; _Idistrict_1 omitted)
note: b_healthout_z_d omitted because of collinearity
{res}
{txt}.2 Quantile regression
R-squared = {res}.01814373
{txt}Number of obs = {res}4212
{txt}Objective function = {res}.18110557

{txt}Standard errors adjusted for {res}187{txt} clusters in hc_id
{res}{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}e_health~t_z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2} .0144017{col 26}{space 2} .0144813{col 37}{space 1}    0.99{col 46}{space 3}0.320{col 54}{space 4}-.0139894{col 67}{space 3} .0427927
{txt}b_health~t_z {c |}{col 14}{res}{space 2} .1134083{col 26}{space 2} .0140808{col 37}{space 1}    8.05{col 46}{space 3}0.000{col 54}{space 4} .0858024{col 67}{space 3} .1410142
{txt}b_healthou~d {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
c_~l_hoe_hc2 {c |}{col 14}{res}{space 2}-.0003942{col 26}{space 2} .0297537{col 37}{space 1}   -0.01{col 46}{space 3}0.989{col 54}{space 4}-.0587271{col 67}{space 3} .0579388
{txt}c_tfull_ho.. {c |}{col 14}{res}{space 2}-.0016516{col 26}{space 2} .0336619{col 37}{space 1}   -0.05{col 46}{space 3}0.961{col 54}{space 4}-.0676469{col 67}{space 3} .0643436
{txt}c_tfull_ho.. {c |}{col 14}{res}{space 2}-.0474443{col 26}{space 2} .0320129{col 37}{space 1}   -1.48{col 46}{space 3}0.138{col 54}{space 4}-.1102066{col 67}{space 3}  .015318
{txt}c_tfull_ho.. {c |}{col 14}{res}{space 2}-.0297583{col 26}{space 2} .0604125{col 37}{space 1}   -0.49{col 46}{space 3}0.622{col 54}{space 4} -.148199{col 67}{space 3} .0886823
{txt}c_tfull_ho.. {c |}{col 14}{res}{space 2} .0020721{col 26}{space 2} .0029667{col 37}{space 1}    0.70{col 46}{space 3}0.485{col 54}{space 4}-.0037443{col 67}{space 3} .0078885
{txt}c_tfull_ho.. {c |}{col 14}{res}{space 2} .0236815{col 26}{space 2}   .01276{col 37}{space 1}    1.86{col 46}{space 3}0.064{col 54}{space 4}-.0013349{col 67}{space 3}  .048698
{txt}c~li_hoe_hc2 {c |}{col 14}{res}{space 2}-.0218598{col 26}{space 2} .0347138{col 37}{space 1}   -0.63{col 46}{space 3}0.529{col 54}{space 4}-.0899174{col 67}{space 3} .0461978
{txt}c_tfulli_h.. {c |}{col 14}{res}{space 2}-.0278902{col 26}{space 2}  .040442{col 37}{space 1}   -0.69{col 46}{space 3}0.490{col 54}{space 4}-.1071781{col 67}{space 3} .0513977
{txt}c_tfulli_h.. {c |}{col 14}{res}{space 2} .0806913{col 26}{space 2} .0448699{col 37}{space 1}    1.80{col 46}{space 3}0.072{col 54}{space 4}-.0072775{col 67}{space 3} .1686601
{txt}c_tfulli_h.. {c |}{col 14}{res}{space 2} .0184135{col 26}{space 2} .0746806{col 37}{space 1}    0.25{col 46}{space 3}0.805{col 54}{space 4}-.1280001{col 67}{space 3} .1648271
{txt}c_tfulli_h.. {c |}{col 14}{res}{space 2} -.000248{col 26}{space 2} .0040598{col 37}{space 1}   -0.06{col 46}{space 3}0.951{col 54}{space 4}-.0082074{col 67}{space 3} .0077114
{txt}c_tfulli_h.. {c |}{col 14}{res}{space 2} .0036204{col 26}{space 2} .0172833{col 37}{space 1}    0.21{col 46}{space 3}0.834{col 54}{space 4}-.0302641{col 67}{space 3} .0375049
{txt}_Idistrict_2 {c |}{col 14}{res}{space 2} .0603052{col 26}{space 2} .0398816{col 37}{space 1}    1.51{col 46}{space 3}0.131{col 54}{space 4}-.0178839{col 67}{space 3} .1384944
{txt}_Idistrict_3 {c |}{col 14}{res}{space 2} .0382304{col 26}{space 2}  .042128{col 37}{space 1}    0.91{col 46}{space 3}0.364{col 54}{space 4}-.0443629{col 67}{space 3} .1208236
{txt}_Idistrict_4 {c |}{col 14}{res}{space 2} .0365216{col 26}{space 2} .0421472{col 37}{space 1}    0.87{col 46}{space 3}0.386{col 54}{space 4}-.0461092{col 67}{space 3} .1191525
{txt}_Idistrict_5 {c |}{col 14}{res}{space 2}-.0316262{col 26}{space 2} .0462492{col 37}{space 1}   -0.68{col 46}{space 3}0.494{col 54}{space 4}-.1222993{col 67}{space 3} .0590468
{txt}_Idistrict_6 {c |}{col 14}{res}{space 2}-.0454184{col 26}{space 2}  .054033{col 37}{space 1}   -0.84{col 46}{space 3}0.401{col 54}{space 4}-.1513518{col 67}{space 3}  .060515
{txt}_Idistrict_7 {c |}{col 14}{res}{space 2} .0044057{col 26}{space 2}  .041371{col 37}{space 1}    0.11{col 46}{space 3}0.915{col 54}{space 4}-.0767035{col 67}{space 3} .0855149
{txt}_Idistrict_8 {c |}{col 14}{res}{space 2}-.0107245{col 26}{space 2} .0454869{col 37}{space 1}   -0.24{col 46}{space 3}0.814{col 54}{space 4} -.099903{col 67}{space 3} .0784539
{txt}_Idistrict_9 {c |}{col 14}{res}{space 2} .1337594{col 26}{space 2} .0367753{col 37}{space 1}    3.64{col 46}{space 3}0.000{col 54}{space 4} .0616602{col 67}{space 3} .2058586
{txt}_Idistric~10 {c |}{col 14}{res}{space 2}-.0020246{col 26}{space 2} .0484802{col 37}{space 1}   -0.04{col 46}{space 3}0.967{col 54}{space 4}-.0970715{col 67}{space 3} .0930223
{txt}_Idistric~11 {c |}{col 14}{res}{space 2} .0021803{col 26}{space 2} .0405358{col 37}{space 1}    0.05{col 46}{space 3}0.957{col 54}{space 4}-.0772914{col 67}{space 3} .0816521
{txt}_Idistric~12 {c |}{col 14}{res}{space 2}-.0100646{col 26}{space 2} .0355194{col 37}{space 1}   -0.28{col 46}{space 3}0.777{col 54}{space 4}-.0797015{col 67}{space 3} .0595723
{txt}_Idistric~13 {c |}{col 14}{res}{space 2} .0071154{col 26}{space 2} .0390548{col 37}{space 1}    0.18{col 46}{space 3}0.855{col 54}{space 4}-.0694528{col 67}{space 3} .0836837
{txt}_Idistric~14 {c |}{col 14}{res}{space 2}-.0089557{col 26}{space 2} .0557994{col 37}{space 1}   -0.16{col 46}{space 3}0.872{col 54}{space 4}-.1183523{col 67}{space 3} .1004409
{txt}_Idistric~15 {c |}{col 14}{res}{space 2}-.0541044{col 26}{space 2} .0431931{col 37}{space 1}   -1.25{col 46}{space 3}0.210{col 54}{space 4}-.1387857{col 67}{space 3}  .030577
{txt}_Idistric~16 {c |}{col 14}{res}{space 2}-.0778369{col 26}{space 2} .0694019{col 37}{space 1}   -1.12{col 46}{space 3}0.262{col 54}{space 4}-.2139015{col 67}{space 3} .0582277
{txt}{space 7}_cons {c |}{col 14}{res}{space 2}-.6541868{col 26}{space 2} .0330017{col 37}{space 1}  -19.82{col 46}{space 3}0.000{col 54}{space 4}-.7188875{col 67}{space 3} -.589486
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

Parente-Santos Silva test for intra-cluster correlation
         Ho: No intra-cluster correlation

            T{col 17}=  {res}-0.704
{txt}         P>|T|  =  {res} 0.482
{txt}i.district{col 19}_Idistrict_1-16{col 39}(naturally coded; _Idistrict_1 omitted)
note: b_healthout_z_d omitted because of collinearity
{res}
{txt}.3 Quantile regression
R-squared = {res}.02095077
{txt}Number of obs = {res}4212
{txt}Objective function = {res}.23940662

{txt}Standard errors adjusted for {res}187{txt} clusters in hc_id
{res}{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}e_health~t_z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2} .0140485{col 26}{space 2} .0177204{col 37}{space 1}    0.79{col 46}{space 3}0.428{col 54}{space 4}-.0206929{col 67}{space 3} .0487899
{txt}b_health~t_z {c |}{col 14}{res}{space 2} .1392082{col 26}{space 2} .0136832{col 37}{space 1}   10.17{col 46}{space 3}0.000{col 54}{space 4}  .112382{col 67}{space 3} .1660345
{txt}b_healthou~d {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
c_~l_hoe_hc2 {c |}{col 14}{res}{space 2} .0252756{col 26}{space 2} .0345801{col 37}{space 1}    0.73{col 46}{space 3}0.465{col 54}{space 4}-.0425198{col 67}{space 3}  .093071
{txt}c_tfull_ho.. {c |}{col 14}{res}{space 2} .0155254{col 26}{space 2} .0446513{col 37}{space 1}    0.35{col 46}{space 3}0.728{col 54}{space 4}-.0720148{col 67}{space 3} .1030657
{txt}c_tfull_ho.. {c |}{col 14}{res}{space 2}-.0182436{col 26}{space 2} .0449777{col 37}{space 1}   -0.41{col 46}{space 3}0.685{col 54}{space 4}-.1064238{col 67}{space 3} .0699365
{txt}c_tfull_ho.. {c |}{col 14}{res}{space 2}  -.10471{col 26}{space 2} .0653915{col 37}{space 1}   -1.60{col 46}{space 3}0.109{col 54}{space 4}-.2329122{col 67}{space 3} .0234922
{txt}c_tfull_ho.. {c |}{col 14}{res}{space 2} .0023531{col 26}{space 2}  .002891{col 37}{space 1}    0.81{col 46}{space 3}0.416{col 54}{space 4}-.0033147{col 67}{space 3}  .008021
{txt}c_tfull_ho.. {c |}{col 14}{res}{space 2} .0386669{col 26}{space 2}  .014543{col 37}{space 1}    2.66{col 46}{space 3}0.008{col 54}{space 4} .0101549{col 67}{space 3}  .067179
{txt}c~li_hoe_hc2 {c |}{col 14}{res}{space 2}-.0599289{col 26}{space 2} .0404918{col 37}{space 1}   -1.48{col 46}{space 3}0.139{col 54}{space 4}-.1393143{col 67}{space 3} .0194564
{txt}c_tfulli_h.. {c |}{col 14}{res}{space 2}-.0676818{col 26}{space 2} .0512935{col 37}{space 1}   -1.32{col 46}{space 3}0.187{col 54}{space 4}-.1682444{col 67}{space 3} .0328807
{txt}c_tfulli_h.. {c |}{col 14}{res}{space 2} .0266701{col 26}{space 2} .0575593{col 37}{space 1}    0.46{col 46}{space 3}0.643{col 54}{space 4}-.0861768{col 67}{space 3}  .139517
{txt}c_tfulli_h.. {c |}{col 14}{res}{space 2} .0896071{col 26}{space 2} .0872038{col 37}{space 1}    1.03{col 46}{space 3}0.304{col 54}{space 4}-.0813586{col 67}{space 3} .2605729
{txt}c_tfulli_h.. {c |}{col 14}{res}{space 2}   .00212{col 26}{space 2} .0041957{col 37}{space 1}    0.51{col 46}{space 3}0.613{col 54}{space 4}-.0061058{col 67}{space 3} .0103459
{txt}c_tfulli_h.. {c |}{col 14}{res}{space 2}-.0240376{col 26}{space 2} .0202401{col 37}{space 1}   -1.19{col 46}{space 3}0.235{col 54}{space 4}-.0637189{col 67}{space 3} .0156436
{txt}_Idistrict_2 {c |}{col 14}{res}{space 2} .0289655{col 26}{space 2} .0426058{col 37}{space 1}    0.68{col 46}{space 3}0.497{col 54}{space 4}-.0545644{col 67}{space 3} .1124955
{txt}_Idistrict_3 {c |}{col 14}{res}{space 2} .0578511{col 26}{space 2} .0476836{col 37}{space 1}    1.21{col 46}{space 3}0.225{col 54}{space 4}-.0356341{col 67}{space 3} .1513364
{txt}_Idistrict_4 {c |}{col 14}{res}{space 2} .0140965{col 26}{space 2} .0459003{col 37}{space 1}    0.31{col 46}{space 3}0.759{col 54}{space 4}-.0758924{col 67}{space 3} .1040854
{txt}_Idistrict_5 {c |}{col 14}{res}{space 2}-.0428704{col 26}{space 2} .0506389{col 37}{space 1}   -0.85{col 46}{space 3}0.397{col 54}{space 4}-.1421495{col 67}{space 3} .0564087
{txt}_Idistrict_6 {c |}{col 14}{res}{space 2}-.0373388{col 26}{space 2} .0593437{col 37}{space 1}   -0.63{col 46}{space 3}0.529{col 54}{space 4} -.153684{col 67}{space 3} .0790064
{txt}_Idistrict_7 {c |}{col 14}{res}{space 2} .0064465{col 26}{space 2} .0533395{col 37}{space 1}    0.12{col 46}{space 3}0.904{col 54}{space 4}-.0981273{col 67}{space 3} .1110203
{txt}_Idistrict_8 {c |}{col 14}{res}{space 2} .0090093{col 26}{space 2} .0588581{col 37}{space 1}    0.15{col 46}{space 3}0.878{col 54}{space 4}-.1063839{col 67}{space 3} .1244025
{txt}_Idistrict_9 {c |}{col 14}{res}{space 2} .1225992{col 26}{space 2} .0408012{col 37}{space 1}    3.00{col 46}{space 3}0.003{col 54}{space 4} .0426072{col 67}{space 3} .2025911
{txt}_Idistric~10 {c |}{col 14}{res}{space 2}-.0493278{col 26}{space 2} .0442389{col 37}{space 1}   -1.12{col 46}{space 3}0.265{col 54}{space 4}-.1360597{col 67}{space 3}  .037404
{txt}_Idistric~11 {c |}{col 14}{res}{space 2} -.002255{col 26}{space 2} .0460332{col 37}{space 1}   -0.05{col 46}{space 3}0.961{col 54}{space 4}-.0925045{col 67}{space 3} .0879944
{txt}_Idistric~12 {c |}{col 14}{res}{space 2}-.0249151{col 26}{space 2} .0444572{col 37}{space 1}   -0.56{col 46}{space 3}0.575{col 54}{space 4}-.1120748{col 67}{space 3} .0622446
{txt}_Idistric~13 {c |}{col 14}{res}{space 2} .0163588{col 26}{space 2} .0460964{col 37}{space 1}    0.35{col 46}{space 3}0.723{col 54}{space 4}-.0740147{col 67}{space 3} .1067323
{txt}_Idistric~14 {c |}{col 14}{res}{space 2}-.0404661{col 26}{space 2} .0630403{col 37}{space 1}   -0.64{col 46}{space 3}0.521{col 54}{space 4}-.1640585{col 67}{space 3} .0831264
{txt}_Idistric~15 {c |}{col 14}{res}{space 2}-.0444606{col 26}{space 2} .0490853{col 37}{space 1}   -0.91{col 46}{space 3}0.365{col 54}{space 4}-.1406938{col 67}{space 3} .0517727
{txt}_Idistric~16 {c |}{col 14}{res}{space 2} -.069253{col 26}{space 2} .0587315{col 37}{space 1}   -1.18{col 46}{space 3}0.238{col 54}{space 4}-.1843979{col 67}{space 3} .0458919
{txt}{space 7}_cons {c |}{col 14}{res}{space 2}-.5389216{col 26}{space 2} .0387025{col 37}{space 1}  -13.92{col 46}{space 3}0.000{col 54}{space 4}-.6147991{col 67}{space 3} -.463044
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

Parente-Santos Silva test for intra-cluster correlation
         Ho: No intra-cluster correlation

            T{col 17}=  {res} 0.472
{txt}         P>|T|  =  {res} 0.637
{txt}i.district{col 19}_Idistrict_1-16{col 39}(naturally coded; _Idistrict_1 omitted)
note: b_healthout_z_d omitted because of collinearity
{res}
{txt}.4 Quantile regression
R-squared = {res}.02314779
{txt}Number of obs = {res}4212
{txt}Objective function = {res}.28630956

{txt}Standard errors adjusted for {res}187{txt} clusters in hc_id
{res}{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}e_health~t_z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2} .0081949{col 26}{space 2} .0239061{col 37}{space 1}    0.34{col 46}{space 3}0.732{col 54}{space 4}-.0386737{col 67}{space 3} .0550635
{txt}b_health~t_z {c |}{col 14}{res}{space 2} .1810422{col 26}{space 2} .0151703{col 37}{space 1}   11.93{col 46}{space 3}0.000{col 54}{space 4} .1513005{col 67}{space 3}  .210784
{txt}b_healthou~d {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
c_~l_hoe_hc2 {c |}{col 14}{res}{space 2}  .080002{col 26}{space 2} .0487926{col 37}{space 1}    1.64{col 46}{space 3}0.101{col 54}{space 4}-.0156574{col 67}{space 3} .1756615
{txt}c_tfull_ho.. {c |}{col 14}{res}{space 2} .0437697{col 26}{space 2} .0615396{col 37}{space 1}    0.71{col 46}{space 3}0.477{col 54}{space 4}-.0768807{col 67}{space 3} .1644201
{txt}c_tfull_ho.. {c |}{col 14}{res}{space 2} .0310571{col 26}{space 2} .0686881{col 37}{space 1}    0.45{col 46}{space 3}0.651{col 54}{space 4}-.1036081{col 67}{space 3} .1657224
{txt}c_tfull_ho.. {c |}{col 14}{res}{space 2}-.1143205{col 26}{space 2} .0655597{col 37}{space 1}   -1.74{col 46}{space 3}0.081{col 54}{space 4}-.2428524{col 67}{space 3} .0142114
{txt}c_tfull_ho.. {c |}{col 14}{res}{space 2} .0079544{col 26}{space 2} .0043999{col 37}{space 1}    1.81{col 46}{space 3}0.071{col 54}{space 4}-.0006719{col 67}{space 3} .0165806
{txt}c_tfull_ho.. {c |}{col 14}{res}{space 2} .0603086{col 26}{space 2} .0194746{col 37}{space 1}    3.10{col 46}{space 3}0.002{col 54}{space 4}  .022128{col 67}{space 3} .0984891
{txt}c~li_hoe_hc2 {c |}{col 14}{res}{space 2}-.1128601{col 26}{space 2} .0540581{col 37}{space 1}   -2.09{col 46}{space 3}0.037{col 54}{space 4}-.2188427{col 67}{space 3}-.0068775
{txt}c_tfulli_h.. {c |}{col 14}{res}{space 2}-.1187706{col 26}{space 2} .0654308{col 37}{space 1}   -1.82{col 46}{space 3}0.070{col 54}{space 4}-.2470498{col 67}{space 3} .0095086
{txt}c_tfulli_h.. {c |}{col 14}{res}{space 2}-.0565876{col 26}{space 2} .0774137{col 37}{space 1}   -0.73{col 46}{space 3}0.465{col 54}{space 4}-.2083597{col 67}{space 3} .0951844
{txt}c_tfulli_h.. {c |}{col 14}{res}{space 2} .0790557{col 26}{space 2} .1030665{col 37}{space 1}    0.77{col 46}{space 3}0.443{col 54}{space 4}-.1230093{col 67}{space 3} .2811208
{txt}c_tfulli_h.. {c |}{col 14}{res}{space 2} .0004998{col 26}{space 2} .0056575{col 37}{space 1}    0.09{col 46}{space 3}0.930{col 54}{space 4}-.0105919{col 67}{space 3} .0115916
{txt}c_tfulli_h.. {c |}{col 14}{res}{space 2}-.0482323{col 26}{space 2} .0257342{col 37}{space 1}   -1.87{col 46}{space 3}0.061{col 54}{space 4}-.0986849{col 67}{space 3} .0022203
{txt}_Idistrict_2 {c |}{col 14}{res}{space 2} .0577487{col 26}{space 2} .0431503{col 37}{space 1}    1.34{col 46}{space 3}0.181{col 54}{space 4}-.0268488{col 67}{space 3} .1423462
{txt}_Idistrict_3 {c |}{col 14}{res}{space 2} .0875799{col 26}{space 2} .0469461{col 37}{space 1}    1.87{col 46}{space 3}0.062{col 54}{space 4}-.0044594{col 67}{space 3} .1796193
{txt}_Idistrict_4 {c |}{col 14}{res}{space 2} .0272987{col 26}{space 2} .0528569{col 37}{space 1}    0.52{col 46}{space 3}0.606{col 54}{space 4}-.0763288{col 67}{space 3} .1309262
{txt}_Idistrict_5 {c |}{col 14}{res}{space 2} .0049263{col 26}{space 2} .0654409{col 37}{space 1}    0.08{col 46}{space 3}0.940{col 54}{space 4}-.1233726{col 67}{space 3} .1332253
{txt}_Idistrict_6 {c |}{col 14}{res}{space 2} .0176954{col 26}{space 2} .0752161{col 37}{space 1}    0.24{col 46}{space 3}0.814{col 54}{space 4}-.1297681{col 67}{space 3} .1651588
{txt}_Idistrict_7 {c |}{col 14}{res}{space 2} .0300714{col 26}{space 2} .0551052{col 37}{space 1}    0.55{col 46}{space 3}0.585{col 54}{space 4}-.0779641{col 67}{space 3}  .138107
{txt}_Idistrict_8 {c |}{col 14}{res}{space 2} .0461505{col 26}{space 2} .0509599{col 37}{space 1}    0.91{col 46}{space 3}0.365{col 54}{space 4}-.0537579{col 67}{space 3} .1460589
{txt}_Idistrict_9 {c |}{col 14}{res}{space 2} .1185684{col 26}{space 2} .0623011{col 37}{space 1}    1.90{col 46}{space 3}0.057{col 54}{space 4}-.0035748{col 67}{space 3} .2407116
{txt}_Idistric~10 {c |}{col 14}{res}{space 2} .0432059{col 26}{space 2} .0462555{col 37}{space 1}    0.93{col 46}{space 3}0.350{col 54}{space 4}-.0474794{col 67}{space 3} .1338913
{txt}_Idistric~11 {c |}{col 14}{res}{space 2} .0152837{col 26}{space 2}  .046144{col 37}{space 1}    0.33{col 46}{space 3}0.740{col 54}{space 4}-.0751831{col 67}{space 3} .1057505
{txt}_Idistric~12 {c |}{col 14}{res}{space 2} .0522004{col 26}{space 2} .0517167{col 37}{space 1}    1.01{col 46}{space 3}0.313{col 54}{space 4}-.0491918{col 67}{space 3} .1535925
{txt}_Idistric~13 {c |}{col 14}{res}{space 2} .0829024{col 26}{space 2} .0521173{col 37}{space 1}    1.59{col 46}{space 3}0.112{col 54}{space 4}-.0192752{col 67}{space 3}   .18508
{txt}_Idistric~14 {c |}{col 14}{res}{space 2}-.0367854{col 26}{space 2} .0765333{col 37}{space 1}   -0.48{col 46}{space 3}0.631{col 54}{space 4}-.1868313{col 67}{space 3} .1132606
{txt}_Idistric~15 {c |}{col 14}{res}{space 2}-.0007628{col 26}{space 2}  .054195{col 37}{space 1}   -0.01{col 46}{space 3}0.989{col 54}{space 4}-.1070137{col 67}{space 3} .1054881
{txt}_Idistric~16 {c |}{col 14}{res}{space 2}-.0070109{col 26}{space 2} .0971999{col 37}{space 1}   -0.07{col 46}{space 3}0.943{col 54}{space 4}-.1975743{col 67}{space 3} .1835526
{txt}{space 7}_cons {c |}{col 14}{res}{space 2}-.4456764{col 26}{space 2} .0357259{col 37}{space 1}  -12.47{col 46}{space 3}0.000{col 54}{space 4}-.5157182{col 67}{space 3}-.3756347
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

Parente-Santos Silva test for intra-cluster correlation
         Ho: No intra-cluster correlation

            T{col 17}=  {res} 1.061
{txt}         P>|T|  =  {res} 0.289
{txt}i.district{col 19}_Idistrict_1-16{col 39}(naturally coded; _Idistrict_1 omitted)
note: b_healthout_z_d omitted because of collinearity
{res}
{txt}Median regression
R-squared = {res}.02368458
{txt}Number of obs = {res}4212
{txt}Objective function = {res}.31924399

{txt}Standard errors adjusted for {res}187{txt} clusters in hc_id
{res}{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}e_health~t_z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2}  .003805{col 26}{space 2} .0273193{col 37}{space 1}    0.14{col 46}{space 3}0.889{col 54}{space 4}-.0497554{col 67}{space 3} .0573653
{txt}b_health~t_z {c |}{col 14}{res}{space 2} .2150395{col 26}{space 2} .0193187{col 37}{space 1}   11.13{col 46}{space 3}0.000{col 54}{space 4} .1771646{col 67}{space 3} .2529143
{txt}b_healthou~d {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
c_~l_hoe_hc2 {c |}{col 14}{res}{space 2} .0782105{col 26}{space 2} .0540909{col 37}{space 1}    1.45{col 46}{space 3}0.148{col 54}{space 4}-.0278364{col 67}{space 3} .1842574
{txt}c_tfull_ho.. {c |}{col 14}{res}{space 2} .0111673{col 26}{space 2} .0803117{col 37}{space 1}    0.14{col 46}{space 3}0.889{col 54}{space 4}-.1462864{col 67}{space 3} .1686209
{txt}c_tfull_ho.. {c |}{col 14}{res}{space 2} .0086432{col 26}{space 2}  .079004{col 37}{space 1}    0.11{col 46}{space 3}0.913{col 54}{space 4}-.1462466{col 67}{space 3} .1635329
{txt}c_tfull_ho.. {c |}{col 14}{res}{space 2} -.099094{col 26}{space 2}  .062685{col 37}{space 1}   -1.58{col 46}{space 3}0.114{col 54}{space 4}  -.22199{col 67}{space 3}  .023802
{txt}c_tfull_ho.. {c |}{col 14}{res}{space 2} .0099909{col 26}{space 2} .0049197{col 37}{space 1}    2.03{col 46}{space 3}0.042{col 54}{space 4} .0003458{col 67}{space 3} .0196361
{txt}c_tfull_ho.. {c |}{col 14}{res}{space 2} .0688532{col 26}{space 2}  .022134{col 37}{space 1}    3.11{col 46}{space 3}0.002{col 54}{space 4} .0254588{col 67}{space 3} .1122476
{txt}c~li_hoe_hc2 {c |}{col 14}{res}{space 2}-.0954613{col 26}{space 2} .0634342{col 37}{space 1}   -1.50{col 46}{space 3}0.132{col 54}{space 4}-.2198259{col 67}{space 3} .0289034
{txt}c_tfulli_h.. {c |}{col 14}{res}{space 2}-.1143066{col 26}{space 2} .0828678{col 37}{space 1}   -1.38{col 46}{space 3}0.168{col 54}{space 4}-.2767716{col 67}{space 3} .0481584
{txt}c_tfulli_h.. {c |}{col 14}{res}{space 2}-.0121382{col 26}{space 2} .0870873{col 37}{space 1}   -0.14{col 46}{space 3}0.889{col 54}{space 4}-.1828756{col 67}{space 3} .1585992
{txt}c_tfulli_h.. {c |}{col 14}{res}{space 2}  .014508{col 26}{space 2} .1198388{col 37}{space 1}    0.12{col 46}{space 3}0.904{col 54}{space 4}-.2204397{col 67}{space 3} .2494557
{txt}c_tfulli_h.. {c |}{col 14}{res}{space 2}-.0019783{col 26}{space 2} .0061822{col 37}{space 1}   -0.32{col 46}{space 3}0.749{col 54}{space 4}-.0140988{col 67}{space 3} .0101421
{txt}c_tfulli_h.. {c |}{col 14}{res}{space 2}-.0378239{col 26}{space 2}  .028026{col 37}{space 1}   -1.35{col 46}{space 3}0.177{col 54}{space 4}-.0927697{col 67}{space 3}  .017122
{txt}_Idistrict_2 {c |}{col 14}{res}{space 2} .0624406{col 26}{space 2}  .056191{col 37}{space 1}    1.11{col 46}{space 3}0.267{col 54}{space 4}-.0477236{col 67}{space 3} .1726047
{txt}_Idistrict_3 {c |}{col 14}{res}{space 2} .1579577{col 26}{space 2} .0557183{col 37}{space 1}    2.83{col 46}{space 3}0.005{col 54}{space 4} .0487202{col 67}{space 3} .2671952
{txt}_Idistrict_4 {c |}{col 14}{res}{space 2} .0851993{col 26}{space 2} .0579066{col 37}{space 1}    1.47{col 46}{space 3}0.141{col 54}{space 4}-.0283284{col 67}{space 3}  .198727
{txt}_Idistrict_5 {c |}{col 14}{res}{space 2} .0905402{col 26}{space 2}  .068144{col 37}{space 1}    1.33{col 46}{space 3}0.184{col 54}{space 4}-.0430583{col 67}{space 3} .2241387
{txt}_Idistrict_6 {c |}{col 14}{res}{space 2}  .093844{col 26}{space 2} .1336638{col 37}{space 1}    0.70{col 46}{space 3}0.483{col 54}{space 4}-.1682081{col 67}{space 3}  .355896
{txt}_Idistrict_7 {c |}{col 14}{res}{space 2} .0734265{col 26}{space 2} .0666625{col 37}{space 1}    1.10{col 46}{space 3}0.271{col 54}{space 4}-.0572673{col 67}{space 3} .2041204
{txt}_Idistrict_8 {c |}{col 14}{res}{space 2} .1190242{col 26}{space 2} .0537406{col 37}{space 1}    2.21{col 46}{space 3}0.027{col 54}{space 4}  .013664{col 67}{space 3} .2243843
{txt}_Idistrict_9 {c |}{col 14}{res}{space 2} .1856305{col 26}{space 2} .1465974{col 37}{space 1}    1.27{col 46}{space 3}0.205{col 54}{space 4}-.1017784{col 67}{space 3} .4730394
{txt}_Idistric~10 {c |}{col 14}{res}{space 2}  .100946{col 26}{space 2} .0677545{col 37}{space 1}    1.49{col 46}{space 3}0.136{col 54}{space 4}-.0318888{col 67}{space 3} .2337808
{txt}_Idistric~11 {c |}{col 14}{res}{space 2} .0231729{col 26}{space 2} .0533088{col 37}{space 1}    0.43{col 46}{space 3}0.664{col 54}{space 4}-.0813407{col 67}{space 3} .1276866
{txt}_Idistric~12 {c |}{col 14}{res}{space 2} .0590934{col 26}{space 2} .0561209{col 37}{space 1}    1.05{col 46}{space 3}0.292{col 54}{space 4}-.0509333{col 67}{space 3} .1691201
{txt}_Idistric~13 {c |}{col 14}{res}{space 2} .1088596{col 26}{space 2} .0611104{col 37}{space 1}    1.78{col 46}{space 3}0.075{col 54}{space 4}-.0109493{col 67}{space 3} .2286685
{txt}_Idistric~14 {c |}{col 14}{res}{space 2}-.0208964{col 26}{space 2} .0866006{col 37}{space 1}   -0.24{col 46}{space 3}0.809{col 54}{space 4}-.1906797{col 67}{space 3} .1488868
{txt}_Idistric~15 {c |}{col 14}{res}{space 2} .0430265{col 26}{space 2}  .055621{col 37}{space 1}    0.77{col 46}{space 3}0.439{col 54}{space 4}-.0660203{col 67}{space 3} .1520733
{txt}_Idistric~16 {c |}{col 14}{res}{space 2}  .034672{col 26}{space 2} .0862776{col 37}{space 1}    0.40{col 46}{space 3}0.688{col 54}{space 4} -.134478{col 67}{space 3}  .203822
{txt}{space 7}_cons {c |}{col 14}{res}{space 2}-.3330683{col 26}{space 2} .0411206{col 37}{space 1}   -8.10{col 46}{space 3}0.000{col 54}{space 4}-.4136866{col 67}{space 3}  -.25245
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

Parente-Santos Silva test for intra-cluster correlation
         Ho: No intra-cluster correlation

            T{col 17}=  {res} 0.698
{txt}         P>|T|  =  {res} 0.485
{txt}i.district{col 19}_Idistrict_1-16{col 39}(naturally coded; _Idistrict_1 omitted)
note: b_healthout_z_d omitted because of collinearity
{res}
{txt}.6 Quantile regression
R-squared = {res}.02331668
{txt}Number of obs = {res}4212
{txt}Objective function = {res}.33537246

{txt}Standard errors adjusted for {res}187{txt} clusters in hc_id
{res}{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}e_health~t_z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2}-.0144565{col 26}{space 2} .0377332{col 37}{space 1}   -0.38{col 46}{space 3}0.702{col 54}{space 4}-.0884336{col 67}{space 3} .0595206
{txt}b_health~t_z {c |}{col 14}{res}{space 2} .2296315{col 26}{space 2} .0216386{col 37}{space 1}   10.61{col 46}{space 3}0.000{col 54}{space 4} .1872084{col 67}{space 3} .2720547
{txt}b_healthou~d {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
c_~l_hoe_hc2 {c |}{col 14}{res}{space 2} .1022271{col 26}{space 2} .0832838{col 37}{space 1}    1.23{col 46}{space 3}0.220{col 54}{space 4}-.0610535{col 67}{space 3} .2655077
{txt}c_tfull_ho.. {c |}{col 14}{res}{space 2} .0388502{col 26}{space 2} .1053697{col 37}{space 1}    0.37{col 46}{space 3}0.712{col 54}{space 4}-.1677305{col 67}{space 3} .2454308
{txt}c_tfull_ho.. {c |}{col 14}{res}{space 2} .0311308{col 26}{space 2} .1054792{col 37}{space 1}    0.30{col 46}{space 3}0.768{col 54}{space 4}-.1756645{col 67}{space 3} .2379261
{txt}c_tfull_ho.. {c |}{col 14}{res}{space 2}-.0287999{col 26}{space 2} .0856839{col 37}{space 1}   -0.34{col 46}{space 3}0.737{col 54}{space 4}-.1967858{col 67}{space 3}  .139186
{txt}c_tfull_ho.. {c |}{col 14}{res}{space 2} .0088024{col 26}{space 2} .0061655{col 37}{space 1}    1.43{col 46}{space 3}0.153{col 54}{space 4}-.0032852{col 67}{space 3}   .02089
{txt}c_tfull_ho.. {c |}{col 14}{res}{space 2} .0779067{col 26}{space 2} .0319507{col 37}{space 1}    2.44{col 46}{space 3}0.015{col 54}{space 4} .0152663{col 67}{space 3}  .140547
{txt}c~li_hoe_hc2 {c |}{col 14}{res}{space 2}-.0438373{col 26}{space 2} .0963936{col 37}{space 1}   -0.45{col 46}{space 3}0.649{col 54}{space 4}-.2328199{col 67}{space 3} .1451454
{txt}c_tfulli_h.. {c |}{col 14}{res}{space 2}-.1008723{col 26}{space 2} .1085853{col 37}{space 1}   -0.93{col 46}{space 3}0.353{col 54}{space 4}-.3137572{col 67}{space 3} .1120127
{txt}c_tfulli_h.. {c |}{col 14}{res}{space 2}-.0176679{col 26}{space 2} .1137537{col 37}{space 1}   -0.16{col 46}{space 3}0.877{col 54}{space 4}-.2406856{col 67}{space 3} .2053498
{txt}c_tfulli_h.. {c |}{col 14}{res}{space 2}-.0816166{col 26}{space 2} .1395274{col 37}{space 1}   -0.58{col 46}{space 3}0.559{col 54}{space 4}-.3551645{col 67}{space 3} .1919313
{txt}c_tfulli_h.. {c |}{col 14}{res}{space 2} .0049877{col 26}{space 2}  .007461{col 37}{space 1}    0.67{col 46}{space 3}0.504{col 54}{space 4}-.0096399{col 67}{space 3} .0196152
{txt}c_tfulli_h.. {c |}{col 14}{res}{space 2}-.0330385{col 26}{space 2} .0358484{col 37}{space 1}   -0.92{col 46}{space 3}0.357{col 54}{space 4}-.1033203{col 67}{space 3} .0372434
{txt}_Idistrict_2 {c |}{col 14}{res}{space 2} .0376182{col 26}{space 2} .1060539{col 37}{space 1}    0.35{col 46}{space 3}0.723{col 54}{space 4}-.1703038{col 67}{space 3} .2455403
{txt}_Idistrict_3 {c |}{col 14}{res}{space 2} .1604851{col 26}{space 2} .1042472{col 37}{space 1}    1.54{col 46}{space 3}0.124{col 54}{space 4}-.0438947{col 67}{space 3}  .364865
{txt}_Idistrict_4 {c |}{col 14}{res}{space 2} .0943003{col 26}{space 2} .1149265{col 37}{space 1}    0.82{col 46}{space 3}0.412{col 54}{space 4}-.1310167{col 67}{space 3} .3196174
{txt}_Idistrict_5 {c |}{col 14}{res}{space 2} .0725142{col 26}{space 2} .1349874{col 37}{space 1}    0.54{col 46}{space 3}0.591{col 54}{space 4}-.1921328{col 67}{space 3} .3371611
{txt}_Idistrict_6 {c |}{col 14}{res}{space 2} .1462759{col 26}{space 2}  .139863{col 37}{space 1}    1.05{col 46}{space 3}0.296{col 54}{space 4}-.1279299{col 67}{space 3} .4204816
{txt}_Idistrict_7 {c |}{col 14}{res}{space 2} .0535556{col 26}{space 2}  .120954{col 37}{space 1}    0.44{col 46}{space 3}0.658{col 54}{space 4}-.1835784{col 67}{space 3} .2906897
{txt}_Idistrict_8 {c |}{col 14}{res}{space 2} .1112832{col 26}{space 2} .1076518{col 37}{space 1}    1.03{col 46}{space 3}0.301{col 54}{space 4}-.0997715{col 67}{space 3} .3223379
{txt}_Idistrict_9 {c |}{col 14}{res}{space 2} .3616439{col 26}{space 2} .1909121{col 37}{space 1}    1.89{col 46}{space 3}0.058{col 54}{space 4}-.0126452{col 67}{space 3} .7359331
{txt}_Idistric~10 {c |}{col 14}{res}{space 2} .0637691{col 26}{space 2}   .12345{col 37}{space 1}    0.52{col 46}{space 3}0.605{col 54}{space 4}-.1782586{col 67}{space 3} .3057967
{txt}_Idistric~11 {c |}{col 14}{res}{space 2} .0616715{col 26}{space 2}  .107246{col 37}{space 1}    0.58{col 46}{space 3}0.565{col 54}{space 4}-.1485876{col 67}{space 3} .2719306
{txt}_Idistric~12 {c |}{col 14}{res}{space 2} .0788043{col 26}{space 2} .1094765{col 37}{space 1}    0.72{col 46}{space 3}0.472{col 54}{space 4}-.1358279{col 67}{space 3} .2934365
{txt}_Idistric~13 {c |}{col 14}{res}{space 2} .1086132{col 26}{space 2} .1102962{col 37}{space 1}    0.98{col 46}{space 3}0.325{col 54}{space 4}-.1076259{col 67}{space 3} .3248524
{txt}_Idistric~14 {c |}{col 14}{res}{space 2}-.0577495{col 26}{space 2} .1356858{col 37}{space 1}   -0.43{col 46}{space 3}0.670{col 54}{space 4}-.3237657{col 67}{space 3} .2082667
{txt}_Idistric~15 {c |}{col 14}{res}{space 2} .0799444{col 26}{space 2} .1111887{col 37}{space 1}    0.72{col 46}{space 3}0.472{col 54}{space 4}-.1380444{col 67}{space 3} .2979333
{txt}_Idistric~16 {c |}{col 14}{res}{space 2} .0977383{col 26}{space 2} .1258312{col 37}{space 1}    0.78{col 46}{space 3}0.437{col 54}{space 4}-.1489577{col 67}{space 3} .3444343
{txt}{space 7}_cons {c |}{col 14}{res}{space 2}-.1533675{col 26}{space 2} .0939292{col 37}{space 1}   -1.63{col 46}{space 3}0.103{col 54}{space 4}-.3375186{col 67}{space 3} .0307836
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

Parente-Santos Silva test for intra-cluster correlation
         Ho: No intra-cluster correlation

            T{col 17}=  {res} 0.597
{txt}         P>|T|  =  {res} 0.551
{txt}i.district{col 19}_Idistrict_1-16{col 39}(naturally coded; _Idistrict_1 omitted)
note: b_healthout_z_d omitted because of collinearity
{res}
{txt}.7 Quantile regression
R-squared = {res}.02254781
{txt}Number of obs = {res}4212
{txt}Objective function = {res}.3284729

{txt}Standard errors adjusted for {res}187{txt} clusters in hc_id
{res}{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}e_health~t_z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2}-.0480133{col 26}{space 2} .0486873{col 37}{space 1}   -0.99{col 46}{space 3}0.324{col 54}{space 4}-.1434664{col 67}{space 3} .0474397
{txt}b_health~t_z {c |}{col 14}{res}{space 2} .1810674{col 26}{space 2} .0390274{col 37}{space 1}    4.64{col 46}{space 3}0.000{col 54}{space 4} .1045531{col 67}{space 3} .2575818
{txt}b_healthou~d {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
c_~l_hoe_hc2 {c |}{col 14}{res}{space 2} .2047732{col 26}{space 2} .0869059{col 37}{space 1}    2.36{col 46}{space 3}0.019{col 54}{space 4} .0343914{col 67}{space 3}  .375155
{txt}c_tfull_ho.. {c |}{col 14}{res}{space 2} .0535761{col 26}{space 2} .1243962{col 37}{space 1}    0.43{col 46}{space 3}0.667{col 54}{space 4}-.1903065{col 67}{space 3} .2974587
{txt}c_tfull_ho.. {c |}{col 14}{res}{space 2} .1062167{col 26}{space 2} .1381443{col 37}{space 1}    0.77{col 46}{space 3}0.442{col 54}{space 4}-.1646195{col 67}{space 3}  .377053
{txt}c_tfull_ho.. {c |}{col 14}{res}{space 2} -.010769{col 26}{space 2} .1236527{col 37}{space 1}   -0.09{col 46}{space 3}0.931{col 54}{space 4} -.253194{col 67}{space 3}  .231656
{txt}c_tfull_ho.. {c |}{col 14}{res}{space 2} .0115827{col 26}{space 2} .0085152{col 37}{space 1}    1.36{col 46}{space 3}0.174{col 54}{space 4}-.0051116{col 67}{space 3}  .028277
{txt}c_tfull_ho.. {c |}{col 14}{res}{space 2} .1478974{col 26}{space 2} .0474691{col 37}{space 1}    3.12{col 46}{space 3}0.002{col 54}{space 4} .0548328{col 67}{space 3} .2409619
{txt}c~li_hoe_hc2 {c |}{col 14}{res}{space 2}-.1291749{col 26}{space 2}  .118238{col 37}{space 1}   -1.09{col 46}{space 3}0.275{col 54}{space 4}-.3609842{col 67}{space 3} .1026343
{txt}c_tfulli_h.. {c |}{col 14}{res}{space 2}-.0684876{col 26}{space 2} .1523906{col 37}{space 1}   -0.45{col 46}{space 3}0.653{col 54}{space 4}-.3672542{col 67}{space 3} .2302789
{txt}c_tfulli_h.. {c |}{col 14}{res}{space 2}-.1871546{col 26}{space 2} .1500313{col 37}{space 1}   -1.25{col 46}{space 3}0.212{col 54}{space 4}-.4812956{col 67}{space 3} .1069865
{txt}c_tfulli_h.. {c |}{col 14}{res}{space 2}-.1520795{col 26}{space 2} .1826062{col 37}{space 1}   -0.83{col 46}{space 3}0.405{col 54}{space 4}-.5100847{col 67}{space 3} .2059257
{txt}c_tfulli_h.. {c |}{col 14}{res}{space 2} .0074027{col 26}{space 2} .0119048{col 37}{space 1}    0.62{col 46}{space 3}0.534{col 54}{space 4}-.0159371{col 67}{space 3} .0307425
{txt}c_tfulli_h.. {c |}{col 14}{res}{space 2}-.1024254{col 26}{space 2} .0563855{col 37}{space 1}   -1.82{col 46}{space 3}0.069{col 54}{space 4} -.212971{col 67}{space 3} .0081202
{txt}_Idistrict_2 {c |}{col 14}{res}{space 2}-.0918176{col 26}{space 2} .1468996{col 37}{space 1}   -0.63{col 46}{space 3}0.532{col 54}{space 4}-.3798189{col 67}{space 3} .1961838
{txt}_Idistrict_3 {c |}{col 14}{res}{space 2} .1680329{col 26}{space 2} .1696076{col 37}{space 1}    0.99{col 46}{space 3}0.322{col 54}{space 4}-.1644882{col 67}{space 3} .5005539
{txt}_Idistrict_4 {c |}{col 14}{res}{space 2} .0016863{col 26}{space 2} .1632979{col 37}{space 1}    0.01{col 46}{space 3}0.992{col 54}{space 4}-.3184644{col 67}{space 3} .3218369
{txt}_Idistrict_5 {c |}{col 14}{res}{space 2}-.0121769{col 26}{space 2} .2183899{col 37}{space 1}   -0.06{col 46}{space 3}0.956{col 54}{space 4}-.4403372{col 67}{space 3} .4159833
{txt}_Idistrict_6 {c |}{col 14}{res}{space 2} .0097562{col 26}{space 2} .1536093{col 37}{space 1}    0.06{col 46}{space 3}0.949{col 54}{space 4}-.2913997{col 67}{space 3} .3109122
{txt}_Idistrict_7 {c |}{col 14}{res}{space 2}-.0205456{col 26}{space 2}  .144646{col 37}{space 1}   -0.14{col 46}{space 3}0.887{col 54}{space 4}-.3041286{col 67}{space 3} .2630373
{txt}_Idistrict_8 {c |}{col 14}{res}{space 2}  .000249{col 26}{space 2} .1423942{col 37}{space 1}    0.00{col 46}{space 3}0.999{col 54}{space 4}-.2789192{col 67}{space 3} .2794173
{txt}_Idistrict_9 {c |}{col 14}{res}{space 2} .3752779{col 26}{space 2}  .125519{col 37}{space 1}    2.99{col 46}{space 3}0.003{col 54}{space 4} .1291939{col 67}{space 3} .6213618
{txt}_Idistric~10 {c |}{col 14}{res}{space 2}-.0357792{col 26}{space 2} .1595175{col 37}{space 1}   -0.22{col 46}{space 3}0.823{col 54}{space 4}-.3485182{col 67}{space 3} .2769598
{txt}_Idistric~11 {c |}{col 14}{res}{space 2} .0082335{col 26}{space 2} .1510328{col 37}{space 1}    0.05{col 46}{space 3}0.957{col 54}{space 4}-.2878711{col 67}{space 3} .3043381
{txt}_Idistric~12 {c |}{col 14}{res}{space 2} .0549909{col 26}{space 2} .1591477{col 37}{space 1}    0.35{col 46}{space 3}0.730{col 54}{space 4}-.2570231{col 67}{space 3}  .367005
{txt}_Idistric~13 {c |}{col 14}{res}{space 2}-.0041462{col 26}{space 2} .1431206{col 37}{space 1}   -0.03{col 46}{space 3}0.977{col 54}{space 4}-.2847387{col 67}{space 3} .2764463
{txt}_Idistric~14 {c |}{col 14}{res}{space 2}-.1483453{col 26}{space 2} .1831478{col 37}{space 1}   -0.81{col 46}{space 3}0.418{col 54}{space 4}-.5074123{col 67}{space 3} .2107217
{txt}_Idistric~15 {c |}{col 14}{res}{space 2} .0905906{col 26}{space 2} .1705013{col 37}{space 1}    0.53{col 46}{space 3}0.595{col 54}{space 4}-.2436826{col 67}{space 3} .4248638
{txt}_Idistric~16 {c |}{col 14}{res}{space 2} .0807538{col 26}{space 2} .1537504{col 37}{space 1}    0.53{col 46}{space 3}0.599{col 54}{space 4}-.2206786{col 67}{space 3} .3821863
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} .2224562{col 26}{space 2} .1182786{col 37}{space 1}    1.88{col 46}{space 3}0.060{col 54}{space 4}-.0094327{col 67}{space 3} .4543452
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

Parente-Santos Silva test for intra-cluster correlation
         Ho: No intra-cluster correlation

            T{col 17}=  {res} 0.742
{txt}         P>|T|  =  {res} 0.458
{txt}i.district{col 19}_Idistrict_1-16{col 39}(naturally coded; _Idistrict_1 omitted)
note: b_healthout_z_d omitted because of collinearity
{res}
{txt}.8 Quantile regression
R-squared = {res}.01729287
{txt}Number of obs = {res}4212
{txt}Objective function = {res}.28765386

{txt}Standard errors adjusted for {res}187{txt} clusters in hc_id
{res}{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}e_health~t_z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2} -.111022{col 26}{space 2} .0629413{col 37}{space 1}   -1.76{col 46}{space 3}0.078{col 54}{space 4}-.2344203{col 67}{space 3} .0123764
{txt}b_health~t_z {c |}{col 14}{res}{space 2}  .128869{col 26}{space 2} .0443236{col 37}{space 1}    2.91{col 46}{space 3}0.004{col 54}{space 4} .0419711{col 67}{space 3} .2157669
{txt}b_healthou~d {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
c_~l_hoe_hc2 {c |}{col 14}{res}{space 2} .0064913{col 26}{space 2} .1183586{col 37}{space 1}    0.05{col 46}{space 3}0.956{col 54}{space 4}-.2255544{col 67}{space 3} .2385371
{txt}c_tfull_ho.. {c |}{col 14}{res}{space 2}-.0060415{col 26}{space 2} .1436807{col 37}{space 1}   -0.04{col 46}{space 3}0.966{col 54}{space 4} -.287732{col 67}{space 3} .2756491
{txt}c_tfull_ho.. {c |}{col 14}{res}{space 2} .0223557{col 26}{space 2} .1333255{col 37}{space 1}    0.17{col 46}{space 3}0.867{col 54}{space 4}-.2390331{col 67}{space 3} .2837445
{txt}c_tfull_ho.. {c |}{col 14}{res}{space 2} .0944175{col 26}{space 2} .1262008{col 37}{space 1}    0.75{col 46}{space 3}0.454{col 54}{space 4}-.1530032{col 67}{space 3} .3418382
{txt}c_tfull_ho.. {c |}{col 14}{res}{space 2} .0294491{col 26}{space 2} .0132233{col 37}{space 1}    2.23{col 46}{space 3}0.026{col 54}{space 4} .0035244{col 67}{space 3} .0553737
{txt}c_tfull_ho.. {c |}{col 14}{res}{space 2} .0836054{col 26}{space 2}  .061417{col 37}{space 1}    1.36{col 46}{space 3}0.174{col 54}{space 4}-.0368046{col 67}{space 3} .2040154
{txt}c~li_hoe_hc2 {c |}{col 14}{res}{space 2}-.0259646{col 26}{space 2} .1361685{col 37}{space 1}   -0.19{col 46}{space 3}0.849{col 54}{space 4}-.2929273{col 67}{space 3}  .240998
{txt}c_tfulli_h.. {c |}{col 14}{res}{space 2}-.1290813{col 26}{space 2} .1546421{col 37}{space 1}   -0.83{col 46}{space 3}0.404{col 54}{space 4}-.4322619{col 67}{space 3} .1740993
{txt}c_tfulli_h.. {c |}{col 14}{res}{space 2}-.0386579{col 26}{space 2} .1776231{col 37}{space 1}   -0.22{col 46}{space 3}0.828{col 54}{space 4}-.3868936{col 67}{space 3} .3095778
{txt}c_tfulli_h.. {c |}{col 14}{res}{space 2}-.2798308{col 26}{space 2} .2171192{col 37}{space 1}   -1.29{col 46}{space 3}0.198{col 54}{space 4}-.7054999{col 67}{space 3} .1458383
{txt}c_tfulli_h.. {c |}{col 14}{res}{space 2}-.0244087{col 26}{space 2} .0166612{col 37}{space 1}   -1.46{col 46}{space 3}0.143{col 54}{space 4}-.0570735{col 67}{space 3} .0082562
{txt}c_tfulli_h.. {c |}{col 14}{res}{space 2}-.0487952{col 26}{space 2} .0715388{col 37}{space 1}   -0.68{col 46}{space 3}0.495{col 54}{space 4}-.1890492{col 67}{space 3} .0914588
{txt}_Idistrict_2 {c |}{col 14}{res}{space 2}-.0324384{col 26}{space 2} .1781815{col 37}{space 1}   -0.18{col 46}{space 3}0.856{col 54}{space 4}-.3817688{col 67}{space 3} .3168921
{txt}_Idistrict_3 {c |}{col 14}{res}{space 2} .3228857{col 26}{space 2} .2260366{col 37}{space 1}    1.43{col 46}{space 3}0.153{col 54}{space 4}-.1202661{col 67}{space 3} .7660375
{txt}_Idistrict_4 {c |}{col 14}{res}{space 2} .1181713{col 26}{space 2} .2135716{col 37}{space 1}    0.55{col 46}{space 3}0.580{col 54}{space 4}-.3005426{col 67}{space 3} .5368852
{txt}_Idistrict_5 {c |}{col 14}{res}{space 2} .1524123{col 26}{space 2} .2344649{col 37}{space 1}    0.65{col 46}{space 3}0.516{col 54}{space 4}-.3072635{col 67}{space 3}  .612088
{txt}_Idistrict_6 {c |}{col 14}{res}{space 2}  .014835{col 26}{space 2} .1691456{col 37}{space 1}    0.09{col 46}{space 3}0.930{col 54}{space 4}-.3167802{col 67}{space 3} .3464501
{txt}_Idistrict_7 {c |}{col 14}{res}{space 2} .0586232{col 26}{space 2}  .187521{col 37}{space 1}    0.31{col 46}{space 3}0.755{col 54}{space 4}-.3090175{col 67}{space 3}  .426264
{txt}_Idistrict_8 {c |}{col 14}{res}{space 2} .1969659{col 26}{space 2} .3661784{col 37}{space 1}    0.54{col 46}{space 3}0.591{col 54}{space 4}-.5209384{col 67}{space 3} .9148703
{txt}_Idistrict_9 {c |}{col 14}{res}{space 2} .4814131{col 26}{space 2} .1478401{col 37}{space 1}    3.26{col 46}{space 3}0.001{col 54}{space 4} .1915679{col 67}{space 3} .7712584
{txt}_Idistric~10 {c |}{col 14}{res}{space 2} .2612336{col 26}{space 2} .1757349{col 37}{space 1}    1.49{col 46}{space 3}0.137{col 54}{space 4}-.0833002{col 67}{space 3} .6057675
{txt}_Idistric~11 {c |}{col 14}{res}{space 2} .2233423{col 26}{space 2} .1692112{col 37}{space 1}    1.32{col 46}{space 3}0.187{col 54}{space 4}-.1084016{col 67}{space 3} .5550861
{txt}_Idistric~12 {c |}{col 14}{res}{space 2} .0208927{col 26}{space 2} .1403155{col 37}{space 1}    0.15{col 46}{space 3}0.882{col 54}{space 4}-.2542002{col 67}{space 3} .2959856
{txt}_Idistric~13 {c |}{col 14}{res}{space 2} .2341597{col 26}{space 2} .1783755{col 37}{space 1}    1.31{col 46}{space 3}0.189{col 54}{space 4}-.1155511{col 67}{space 3} .5838705
{txt}_Idistric~14 {c |}{col 14}{res}{space 2} .1817021{col 26}{space 2} .1981291{col 37}{space 1}    0.92{col 46}{space 3}0.359{col 54}{space 4}-.2067362{col 67}{space 3} .5701404
{txt}_Idistric~15 {c |}{col 14}{res}{space 2}  .223037{col 26}{space 2} .1585551{col 37}{space 1}    1.41{col 46}{space 3}0.160{col 54}{space 4}-.0878154{col 67}{space 3} .5338893
{txt}_Idistric~16 {c |}{col 14}{res}{space 2} .3157527{col 26}{space 2}   .23571{col 37}{space 1}    1.34{col 46}{space 3}0.180{col 54}{space 4}-.1463643{col 67}{space 3} .7778696
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} .5245387{col 26}{space 2} .1351663{col 37}{space 1}    3.88{col 46}{space 3}0.000{col 54}{space 4}  .259541{col 67}{space 3} .7895364
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

Parente-Santos Silva test for intra-cluster correlation
         Ho: No intra-cluster correlation

            T{col 17}=  {res} 0.868
{txt}         P>|T|  =  {res} 0.385
{txt}i.district{col 19}_Idistrict_1-16{col 39}(naturally coded; _Idistrict_1 omitted)
note: b_healthout_z_d omitted because of collinearity
{res}
{txt}.9 Quantile regression
R-squared = {res}.01171823
{txt}Number of obs = {res}4212
{txt}Objective function = {res}.19563648

{txt}Standard errors adjusted for {res}187{txt} clusters in hc_id
{res}{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}e_health~t_z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2} .0083983{col 26}{space 2} .0789665{col 37}{space 1}    0.11{col 46}{space 3}0.915{col 54}{space 4}-.1464181{col 67}{space 3} .1632146
{txt}b_health~t_z {c |}{col 14}{res}{space 2} .0848172{col 26}{space 2} .0499076{col 37}{space 1}    1.70{col 46}{space 3}0.089{col 54}{space 4}-.0130282{col 67}{space 3} .1826626
{txt}b_healthou~d {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
c_~l_hoe_hc2 {c |}{col 14}{res}{space 2} .0702596{col 26}{space 2} .1257974{col 37}{space 1}    0.56{col 46}{space 3}0.577{col 54}{space 4}-.1763702{col 67}{space 3} .3168893
{txt}c_tfull_ho.. {c |}{col 14}{res}{space 2}-.2052528{col 26}{space 2} .1280523{col 37}{space 1}   -1.60{col 46}{space 3}0.109{col 54}{space 4}-.4563034{col 67}{space 3} .0457977
{txt}c_tfull_ho.. {c |}{col 14}{res}{space 2} .1964067{col 26}{space 2} .1813648{col 37}{space 1}    1.08{col 46}{space 3}0.279{col 54}{space 4}-.1591648{col 67}{space 3} .5519781
{txt}c_tfull_ho.. {c |}{col 14}{res}{space 2}-.0892786{col 26}{space 2} .3339657{col 37}{space 1}   -0.27{col 46}{space 3}0.789{col 54}{space 4}-.7440288{col 67}{space 3} .5654717
{txt}c_tfull_ho.. {c |}{col 14}{res}{space 2} .0120667{col 26}{space 2} .0171819{col 37}{space 1}    0.70{col 46}{space 3}0.483{col 54}{space 4}-.0216189{col 67}{space 3} .0457523
{txt}c_tfull_ho.. {c |}{col 14}{res}{space 2}  .078084{col 26}{space 2} .0635874{col 37}{space 1}    1.23{col 46}{space 3}0.220{col 54}{space 4} -.046581{col 67}{space 3}  .202749
{txt}c~li_hoe_hc2 {c |}{col 14}{res}{space 2}-.1175387{col 26}{space 2} .1629345{col 37}{space 1}   -0.72{col 46}{space 3}0.471{col 54}{space 4}-.4369769{col 67}{space 3} .2018995
{txt}c_tfulli_h.. {c |}{col 14}{res}{space 2} .1174827{col 26}{space 2} .1894442{col 37}{space 1}    0.62{col 46}{space 3}0.535{col 54}{space 4}-.2539287{col 67}{space 3} .4888941
{txt}c_tfulli_h.. {c |}{col 14}{res}{space 2}-.3990698{col 26}{space 2} .1922752{col 37}{space 1}   -2.08{col 46}{space 3}0.038{col 54}{space 4}-.7760315{col 67}{space 3}-.0221082
{txt}c_tfulli_h.. {c |}{col 14}{res}{space 2}  .120242{col 26}{space 2} .3797888{col 37}{space 1}    0.32{col 46}{space 3}0.752{col 54}{space 4}-.6243458{col 67}{space 3} .8648298
{txt}c_tfulli_h.. {c |}{col 14}{res}{space 2}-.0106596{col 26}{space 2} .0245663{col 37}{space 1}   -0.43{col 46}{space 3}0.664{col 54}{space 4}-.0588225{col 67}{space 3} .0375033
{txt}c_tfulli_h.. {c |}{col 14}{res}{space 2}-.0141771{col 26}{space 2} .0899573{col 37}{space 1}   -0.16{col 46}{space 3}0.875{col 54}{space 4}-.1905412{col 67}{space 3} .1621871
{txt}_Idistrict_2 {c |}{col 14}{res}{space 2}  .035976{col 26}{space 2} .2445655{col 37}{space 1}    0.15{col 46}{space 3}0.883{col 54}{space 4}-.4435024{col 67}{space 3} .5154544
{txt}_Idistrict_3 {c |}{col 14}{res}{space 2} .1160067{col 26}{space 2} .1518366{col 37}{space 1}    0.76{col 46}{space 3}0.445{col 54}{space 4}-.1816736{col 67}{space 3} .4136871
{txt}_Idistrict_4 {c |}{col 14}{res}{space 2} .2174679{col 26}{space 2} .1696526{col 37}{space 1}    1.28{col 46}{space 3}0.200{col 54}{space 4}-.1151414{col 67}{space 3} .5500772
{txt}_Idistrict_5 {c |}{col 14}{res}{space 2} .0105912{col 26}{space 2}  .173971{col 37}{space 1}    0.06{col 46}{space 3}0.951{col 54}{space 4}-.3304844{col 67}{space 3} .3516668
{txt}_Idistrict_6 {c |}{col 14}{res}{space 2}  .062478{col 26}{space 2} .2993155{col 37}{space 1}    0.21{col 46}{space 3}0.835{col 54}{space 4}-.5243393{col 67}{space 3} .6492954
{txt}_Idistrict_7 {c |}{col 14}{res}{space 2} .1606089{col 26}{space 2} .1752127{col 37}{space 1}    0.92{col 46}{space 3}0.359{col 54}{space 4}-.1829011{col 67}{space 3}  .504119
{txt}_Idistrict_8 {c |}{col 14}{res}{space 2} .3805617{col 26}{space 2} .3217849{col 37}{space 1}    1.18{col 46}{space 3}0.237{col 54}{space 4}-.2503076{col 67}{space 3} 1.011431
{txt}_Idistrict_9 {c |}{col 14}{res}{space 2} .3629061{col 26}{space 2} .1856971{col 37}{space 1}    1.95{col 46}{space 3}0.051{col 54}{space 4} -.001159{col 67}{space 3} .7269712
{txt}_Idistric~10 {c |}{col 14}{res}{space 2} .5204893{col 26}{space 2} .2362487{col 37}{space 1}    2.20{col 46}{space 3}0.028{col 54}{space 4} .0573163{col 67}{space 3} .9836622
{txt}_Idistric~11 {c |}{col 14}{res}{space 2} .1520163{col 26}{space 2} .1985333{col 37}{space 1}    0.77{col 46}{space 3}0.444{col 54}{space 4}-.2372144{col 67}{space 3}  .541247
{txt}_Idistric~12 {c |}{col 14}{res}{space 2} .0303584{col 26}{space 2} .1746555{col 37}{space 1}    0.17{col 46}{space 3}0.862{col 54}{space 4}-.3120592{col 67}{space 3}  .372776
{txt}_Idistric~13 {c |}{col 14}{res}{space 2} .3426993{col 26}{space 2} .1851684{col 37}{space 1}    1.85{col 46}{space 3}0.064{col 54}{space 4}-.0203292{col 67}{space 3} .7057278
{txt}_Idistric~14 {c |}{col 14}{res}{space 2} .1863783{col 26}{space 2}  .443458{col 37}{space 1}    0.42{col 46}{space 3}0.674{col 54}{space 4}-.6830351{col 67}{space 3} 1.055792
{txt}_Idistric~15 {c |}{col 14}{res}{space 2} .3230325{col 26}{space 2} .2409927{col 37}{space 1}    1.34{col 46}{space 3}0.180{col 54}{space 4}-.1494412{col 67}{space 3} .7955062
{txt}_Idistric~16 {c |}{col 14}{res}{space 2} .2982369{col 26}{space 2} .2666202{col 37}{space 1}    1.12{col 46}{space 3}0.263{col 54}{space 4}-.2244804{col 67}{space 3} .8209541
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} 1.084772{col 26}{space 2} .1533752{col 37}{space 1}    7.07{col 46}{space 3}0.000{col 54}{space 4} .7840753{col 67}{space 3} 1.385469
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

Parente-Santos Silva test for intra-cluster correlation
         Ho: No intra-cluster correlation

            T{col 17}=  {res}-1.203
{txt}         P>|T|  =  {res} 0.229
{txt}
{com}.         
.         coefplot (m1_1 \ m1_2 \ m1_3 \ m1_4 \ m1_5 \ m1_6 \ m1_7 \ m1_8 \ m1_9), keep(`var') yline(0, lcolor(gray)) yline(`est_healthout_z', lcolor(red)) vertical scheme(s1mono) mcolor(blue) mlcolor(blue) levels(95 90) ciopts(lcolor(blue blue) lwidth(medium thick)) grid(none) ytick(-.4 -.2 0 .2 .4) ylabel(-.4 -.2 0 .2 .4) aseq swapnames coeflabels(m1_1 = "0.1" m1_2 = "0.2" m1_3 = "0.3" m1_4 = "0.4" m1_5 = "0.5" m1_6 = "0.6" m1_7 = "0.7" m1_8 = "0.8" m1_9 = "0.9")   subtitle("Quantile regression: Health outcomes index") b1title("Quantile") l1title("Health outcomes index") note("Displaying 95% and 90% confidence intervals")
{res}{txt}
{com}.         qui graph export "${c -(}Figures{c )-}/Figure7f_healthoutcome.png", replace
{txt}
{com}. 
.         eststo clear
{txt}
{com}.         
.         * Child mortality 
.         
.         local z = 0
{txt}
{com}.         foreach x in `indices_hc' {c -(}
{txt}  2{com}.                 local z = `z' + 1
{txt}  3{com}.                 
.                 areg  e_`x' `var' b_`x'  `e_controls_tfull_hc' ``var'_hc_int_e_controls' if uniquehc == 1, robust a(district)
{txt}  4{com}.                 
.                 local est_`x' = _b[`var']
{txt}  5{com}.                 
.                 forvalues y = 1/9 {c -(}
{txt}  6{com}.                         xi: qreg2 e_`x' `var' b_`x' `e_controls_tfull_hc' ``var'_hc_int_e_controls' i.district if uniquehc == 1, q(.`y') cl(hc_id)
{txt}  7{com}.                         estimates store m`z'_`y'
{txt}  8{com}.                         {c )-}
{txt}  9{com}.                 {c )-}
{res}
{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}       187
{txt}{col 49}F({res}  14{txt},{res}    157{txt}){col 67}= {res}      1.41
{txt}{col 49}Prob > F{col 67}= {res}    0.1530
{txt}{col 49}R-squared{col 67}= {res}    0.1974
{txt}{col 49}Adj R-squared{col 67}= {res}    0.0492
{txt}{col 49}Root MSE{col 67}= {res}    0.0534

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}e_mortrat~05{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2}-.0105267{col 26}{space 2} .0079551{col 37}{space 1}   -1.32{col 46}{space 3}0.188{col 54}{space 4}-.0262397{col 67}{space 3} .0051862
{txt}b_mortrat~05 {c |}{col 14}{res}{space 2} .0808291{col 26}{space 2}  .065325{col 37}{space 1}    1.24{col 46}{space 3}0.218{col 54}{space 4}-.0482001{col 67}{space 3} .2098583
{txt}c_tf~_hc_hc2 {c |}{col 14}{res}{space 2} .0083737{col 26}{space 2} .0168654{col 37}{space 1}    0.50{col 46}{space 3}0.620{col 54}{space 4}-.0249386{col 67}{space 3} .0416859
{txt}c_tfull_hc~l {c |}{col 14}{res}{space 2} .0020266{col 26}{space 2} .0211816{col 37}{space 1}    0.10{col 46}{space 3}0.924{col 54}{space 4}-.0398112{col 67}{space 3} .0438643
{txt}c_tfull_hc~s {c |}{col 14}{res}{space 2} .0115205{col 26}{space 2} .0223521{col 37}{space 1}    0.52{col 46}{space 3}0.607{col 54}{space 4}-.0326291{col 67}{space 3}   .05567
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2} .0310707{col 26}{space 2} .0567591{col 37}{space 1}    0.55{col 46}{space 3}0.585{col 54}{space 4}-.0810392{col 67}{space 3} .1431807
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2}-.0063919{col 26}{space 2} .0071613{col 37}{space 1}   -0.89{col 46}{space 3}0.373{col 54}{space 4}-.0205367{col 67}{space 3} .0077529
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2} .0158802{col 26}{space 2} .0211947{col 37}{space 1}    0.75{col 46}{space 3}0.455{col 54}{space 4}-.0259833{col 67}{space 3} .0577437
{txt}c_treatful.. {c |}{col 14}{res}{space 2}-.0047529{col 26}{space 2} .0194419{col 37}{space 1}   -0.24{col 46}{space 3}0.807{col 54}{space 4}-.0431543{col 67}{space 3} .0336486
{txt}c_treatful.. {c |}{col 14}{res}{space 2}-.0018397{col 26}{space 2} .0234256{col 37}{space 1}   -0.08{col 46}{space 3}0.938{col 54}{space 4}-.0481097{col 67}{space 3} .0444302
{txt}c_treatful.. {c |}{col 14}{res}{space 2}-.0353364{col 26}{space 2} .0275786{col 37}{space 1}   -1.28{col 46}{space 3}0.202{col 54}{space 4}-.0898094{col 67}{space 3} .0191366
{txt}c_treatful.. {c |}{col 14}{res}{space 2}-.1735433{col 26}{space 2} .0910238{col 37}{space 1}   -1.91{col 46}{space 3}0.058{col 54}{space 4}-.3533325{col 67}{space 3}  .006246
{txt}c_treatful.. {c |}{col 14}{res}{space 2}-.0026096{col 26}{space 2} .0085994{col 37}{space 1}   -0.30{col 46}{space 3}0.762{col 54}{space 4}-.0195951{col 67}{space 3} .0143758
{txt}c_treatful.. {c |}{col 14}{res}{space 2} -.017001{col 26}{space 2} .0275689{col 37}{space 1}   -0.62{col 46}{space 3}0.538{col 54}{space 4}-.0714548{col 67}{space 3} .0374529
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} .0606025{col 26}{space 2} .0063477{col 37}{space 1}    9.55{col 46}{space 3}0.000{col 54}{space 4} .0480645{col 67}{space 3} .0731405
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)
i.district{col 19}_Idistrict_1-16{col 39}(naturally coded; _Idistrict_1 omitted)
{res}
{txt}.1 Quantile regression
R-squared = {res}.
{txt}Number of obs = {res}187
{txt}Objective function = {res}.00587367

{txt}Standard errors adjusted for {res}187{txt} clusters in hc_id
{res}{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}e_mortrat~05{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2}        0{col 26}{space 2} .0212417{col 37}{space 1}    0.00{col 46}{space 3}1.000{col 54}{space 4}-.0419565{col 67}{space 3} .0419565
{txt}b_mortrat~05 {c |}{col 14}{res}{space 2}        0{col 26}{space 2}  .214835{col 37}{space 1}    0.00{col 46}{space 3}1.000{col 54}{space 4}-.4243397{col 67}{space 3} .4243397
{txt}c_tf~_hc_hc2 {c |}{col 14}{res}{space 2}        0{col 26}{space 2} .0481583{col 37}{space 1}    0.00{col 46}{space 3}1.000{col 54}{space 4}-.0951218{col 67}{space 3} .0951218
{txt}c_tfull_hc~l {c |}{col 14}{res}{space 2}        0{col 26}{space 2} .0668453{col 37}{space 1}    0.00{col 46}{space 3}1.000{col 54}{space 4}-.1320321{col 67}{space 3} .1320321
{txt}c_tfull_hc~s {c |}{col 14}{res}{space 2}        0{col 26}{space 2}   .06731{col 37}{space 1}    0.00{col 46}{space 3}1.000{col 54}{space 4}  -.13295{col 67}{space 3}   .13295
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2}        0{col 26}{space 2} .1342217{col 37}{space 1}    0.00{col 46}{space 3}1.000{col 54}{space 4}-.2651132{col 67}{space 3} .2651132
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2}        0{col 26}{space 2} .0150303{col 37}{space 1}    0.00{col 46}{space 3}1.000{col 54}{space 4}-.0296876{col 67}{space 3} .0296876
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2}        0{col 26}{space 2} .0538705{col 37}{space 1}    0.00{col 46}{space 3}1.000{col 54}{space 4}-.1064045{col 67}{space 3} .1064045
{txt}c_treatful.. {c |}{col 14}{res}{space 2}        0{col 26}{space 2} .0515067{col 37}{space 1}    0.00{col 46}{space 3}1.000{col 54}{space 4}-.1017355{col 67}{space 3} .1017355
{txt}c_treatful.. {c |}{col 14}{res}{space 2}        0{col 26}{space 2} .0715744{col 37}{space 1}    0.00{col 46}{space 3}1.000{col 54}{space 4}-.1413731{col 67}{space 3} .1413731
{txt}c_treatful.. {c |}{col 14}{res}{space 2}        0{col 26}{space 2} .0922479{col 37}{space 1}    0.00{col 46}{space 3}1.000{col 54}{space 4} -.182207{col 67}{space 3}  .182207
{txt}c_treatful.. {c |}{col 14}{res}{space 2}        0{col 26}{space 2} .2522148{col 37}{space 1}    0.00{col 46}{space 3}1.000{col 54}{space 4}-.4981719{col 67}{space 3} .4981719
{txt}c_treatful.. {c |}{col 14}{res}{space 2}        0{col 26}{space 2} .0177347{col 37}{space 1}    0.00{col 46}{space 3}1.000{col 54}{space 4}-.0350294{col 67}{space 3} .0350294
{txt}c_treatful.. {c |}{col 14}{res}{space 2}        0{col 26}{space 2} .0580326{col 37}{space 1}    0.00{col 46}{space 3}1.000{col 54}{space 4}-.1146254{col 67}{space 3} .1146254
{txt}_Idistrict_2 {c |}{col 14}{res}{space 2}        0{col 26}{space 2} .0556678{col 37}{space 1}    0.00{col 46}{space 3}1.000{col 54}{space 4}-.1099544{col 67}{space 3} .1099544
{txt}_Idistrict_3 {c |}{col 14}{res}{space 2}        0{col 26}{space 2} .0480974{col 37}{space 1}    0.00{col 46}{space 3}1.000{col 54}{space 4}-.0950015{col 67}{space 3} .0950015
{txt}_Idistrict_4 {c |}{col 14}{res}{space 2}        0{col 26}{space 2} .0480503{col 37}{space 1}    0.00{col 46}{space 3}1.000{col 54}{space 4}-.0949084{col 67}{space 3} .0949084
{txt}_Idistrict_5 {c |}{col 14}{res}{space 2}        0{col 26}{space 2} .0657109{col 37}{space 1}    0.00{col 46}{space 3}1.000{col 54}{space 4}-.1297915{col 67}{space 3} .1297915
{txt}_Idistrict_6 {c |}{col 14}{res}{space 2}        0{col 26}{space 2} .0523043{col 37}{space 1}    0.00{col 46}{space 3}1.000{col 54}{space 4} -.103311{col 67}{space 3}  .103311
{txt}_Idistrict_7 {c |}{col 14}{res}{space 2}        0{col 26}{space 2}  .054829{col 37}{space 1}    0.00{col 46}{space 3}1.000{col 54}{space 4}-.1082976{col 67}{space 3} .1082976
{txt}_Idistrict_8 {c |}{col 14}{res}{space 2}        0{col 26}{space 2} .0437505{col 37}{space 1}    0.00{col 46}{space 3}1.000{col 54}{space 4}-.0864156{col 67}{space 3} .0864156
{txt}_Idistrict_9 {c |}{col 14}{res}{space 2}        0{col 26}{space 2} .0554651{col 37}{space 1}    0.00{col 46}{space 3}1.000{col 54}{space 4}-.1095541{col 67}{space 3} .1095541
{txt}_Idistric~10 {c |}{col 14}{res}{space 2}        0{col 26}{space 2} .0603602{col 37}{space 1}    0.00{col 46}{space 3}1.000{col 54}{space 4}-.1192228{col 67}{space 3} .1192228
{txt}_Idistric~11 {c |}{col 14}{res}{space 2}        0{col 26}{space 2} .0448206{col 37}{space 1}    0.00{col 46}{space 3}1.000{col 54}{space 4}-.0885291{col 67}{space 3} .0885291
{txt}_Idistric~12 {c |}{col 14}{res}{space 2}        0{col 26}{space 2} .0531337{col 37}{space 1}    0.00{col 46}{space 3}1.000{col 54}{space 4}-.1049491{col 67}{space 3} .1049491
{txt}_Idistric~13 {c |}{col 14}{res}{space 2}        0{col 26}{space 2} .0536759{col 37}{space 1}    0.00{col 46}{space 3}1.000{col 54}{space 4}  -.10602{col 67}{space 3}   .10602
{txt}_Idistric~14 {c |}{col 14}{res}{space 2}        0{col 26}{space 2}  .066911{col 37}{space 1}    0.00{col 46}{space 3}1.000{col 54}{space 4}-.1321618{col 67}{space 3} .1321618
{txt}_Idistric~15 {c |}{col 14}{res}{space 2}        0{col 26}{space 2} .0500882{col 37}{space 1}    0.00{col 46}{space 3}1.000{col 54}{space 4}-.0989336{col 67}{space 3} .0989336
{txt}_Idistric~16 {c |}{col 14}{res}{space 2}        0{col 26}{space 2} .1034148{col 37}{space 1}    0.00{col 46}{space 3}1.000{col 54}{space 4}-.2042638{col 67}{space 3} .2042638
{txt}{space 7}_cons {c |}{col 14}{res}{space 2}        0{col 26}{space 2} .0403972{col 37}{space 1}    0.00{col 46}{space 3}1.000{col 54}{space 4}-.0797921{col 67}{space 3} .0797921
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
i.district{col 19}_Idistrict_1-16{col 39}(naturally coded; _Idistrict_1 omitted)
{res}
{txt}.2 Quantile regression
R-squared = {res}.09478417
{txt}Number of obs = {res}187
{txt}Objective function = {res}.01095971

{txt}Standard errors adjusted for {res}187{txt} clusters in hc_id
{res}{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}e_mortrat~05{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2}-.0021292{col 26}{space 2} .0105124{col 37}{space 1}   -0.20{col 46}{space 3}0.840{col 54}{space 4}-.0228932{col 67}{space 3} .0186348
{txt}b_mortrat~05 {c |}{col 14}{res}{space 2} .1093409{col 26}{space 2} .1032301{col 37}{space 1}    1.06{col 46}{space 3}0.291{col 54}{space 4} -.094558{col 67}{space 3} .3132399
{txt}c_tf~_hc_hc2 {c |}{col 14}{res}{space 2} .0225673{col 26}{space 2} .0230208{col 37}{space 1}    0.98{col 46}{space 3}0.328{col 54}{space 4}-.0229031{col 67}{space 3} .0680378
{txt}c_tfull_hc~l {c |}{col 14}{res}{space 2}-.0015106{col 26}{space 2} .0261703{col 37}{space 1}   -0.06{col 46}{space 3}0.954{col 54}{space 4}-.0532019{col 67}{space 3} .0501808
{txt}c_tfull_hc~s {c |}{col 14}{res}{space 2} .0186893{col 26}{space 2}   .01934{col 37}{space 1}    0.97{col 46}{space 3}0.335{col 54}{space 4}-.0195108{col 67}{space 3} .0568894
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2} .0174076{col 26}{space 2} .0916698{col 37}{space 1}    0.19{col 46}{space 3}0.850{col 54}{space 4}-.1636576{col 67}{space 3} .1984728
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2}-.0131249{col 26}{space 2} .0061911{col 37}{space 1}   -2.12{col 46}{space 3}0.036{col 54}{space 4}-.0253534{col 67}{space 3}-.0008964
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2} .0388723{col 26}{space 2} .0318021{col 37}{space 1}    1.22{col 46}{space 3}0.223{col 54}{space 4}-.0239427{col 67}{space 3} .1016874
{txt}c_treatful.. {c |}{col 14}{res}{space 2}-.0187527{col 26}{space 2} .0264057{col 37}{space 1}   -0.71{col 46}{space 3}0.479{col 54}{space 4}-.0709089{col 67}{space 3} .0334035
{txt}c_treatful.. {c |}{col 14}{res}{space 2} .0064564{col 26}{space 2} .0321662{col 37}{space 1}    0.20{col 46}{space 3}0.841{col 54}{space 4}-.0570779{col 67}{space 3} .0699908
{txt}c_treatful.. {c |}{col 14}{res}{space 2}-.0295079{col 26}{space 2} .0275713{col 37}{space 1}   -1.07{col 46}{space 3}0.286{col 54}{space 4}-.0839664{col 67}{space 3} .0249507
{txt}c_treatful.. {c |}{col 14}{res}{space 2} -.119662{col 26}{space 2} .1153562{col 37}{space 1}   -1.04{col 46}{space 3}0.301{col 54}{space 4}-.3475123{col 67}{space 3} .1081884
{txt}c_treatful.. {c |}{col 14}{res}{space 2}-.0012531{col 26}{space 2} .0103298{col 37}{space 1}   -0.12{col 46}{space 3}0.904{col 54}{space 4}-.0216564{col 67}{space 3} .0191501
{txt}c_treatful.. {c |}{col 14}{res}{space 2} -.036407{col 26}{space 2}  .043743{col 37}{space 1}   -0.83{col 46}{space 3}0.407{col 54}{space 4}-.1228077{col 67}{space 3} .0499937
{txt}_Idistrict_2 {c |}{col 14}{res}{space 2} .0428238{col 26}{space 2}  .028335{col 37}{space 1}    1.51{col 46}{space 3}0.133{col 54}{space 4}-.0131432{col 67}{space 3} .0987909
{txt}_Idistrict_3 {c |}{col 14}{res}{space 2} .0207294{col 26}{space 2} .0282609{col 37}{space 1}    0.73{col 46}{space 3}0.464{col 54}{space 4}-.0350911{col 67}{space 3}   .07655
{txt}_Idistrict_4 {c |}{col 14}{res}{space 2}-.0037278{col 26}{space 2} .0308746{col 37}{space 1}   -0.12{col 46}{space 3}0.904{col 54}{space 4}-.0647109{col 67}{space 3} .0572554
{txt}_Idistrict_5 {c |}{col 14}{res}{space 2}  .040085{col 26}{space 2} .0425102{col 37}{space 1}    0.94{col 46}{space 3}0.347{col 54}{space 4}-.0438807{col 67}{space 3} .1240507
{txt}_Idistrict_6 {c |}{col 14}{res}{space 2} .0173342{col 26}{space 2} .0296851{col 37}{space 1}    0.58{col 46}{space 3}0.560{col 54}{space 4}-.0412995{col 67}{space 3} .0759679
{txt}_Idistrict_7 {c |}{col 14}{res}{space 2} .0348923{col 26}{space 2} .0362133{col 37}{space 1}    0.96{col 46}{space 3}0.337{col 54}{space 4}-.0366358{col 67}{space 3} .1064205
{txt}_Idistrict_8 {c |}{col 14}{res}{space 2}  .018993{col 26}{space 2} .0282799{col 37}{space 1}    0.67{col 46}{space 3}0.503{col 54}{space 4}-.0368652{col 67}{space 3} .0748512
{txt}_Idistrict_9 {c |}{col 14}{res}{space 2} .0202729{col 26}{space 2} .0445116{col 37}{space 1}    0.46{col 46}{space 3}0.649{col 54}{space 4} -.067646{col 67}{space 3} .1081918
{txt}_Idistric~10 {c |}{col 14}{res}{space 2} .0206816{col 26}{space 2} .0287918{col 37}{space 1}    0.72{col 46}{space 3}0.474{col 54}{space 4}-.0361875{col 67}{space 3} .0775508
{txt}_Idistric~11 {c |}{col 14}{res}{space 2} -.016304{col 26}{space 2} .0294227{col 37}{space 1}   -0.55{col 46}{space 3}0.580{col 54}{space 4}-.0744194{col 67}{space 3} .0418115
{txt}_Idistric~12 {c |}{col 14}{res}{space 2} .0105138{col 26}{space 2} .0419047{col 37}{space 1}    0.25{col 46}{space 3}0.802{col 54}{space 4} -.072256{col 67}{space 3} .0932836
{txt}_Idistric~13 {c |}{col 14}{res}{space 2} .0256354{col 26}{space 2} .0311951{col 37}{space 1}    0.82{col 46}{space 3}0.412{col 54}{space 4}-.0359809{col 67}{space 3} .0872517
{txt}_Idistric~14 {c |}{col 14}{res}{space 2} .0230173{col 26}{space 2} .0359944{col 37}{space 1}    0.64{col 46}{space 3}0.523{col 54}{space 4}-.0480785{col 67}{space 3} .0941131
{txt}_Idistric~15 {c |}{col 14}{res}{space 2} .0189859{col 26}{space 2} .0231055{col 37}{space 1}    0.82{col 46}{space 3}0.412{col 54}{space 4}-.0266519{col 67}{space 3} .0646236
{txt}_Idistric~16 {c |}{col 14}{res}{space 2} .0476153{col 26}{space 2} .0320558{col 37}{space 1}    1.49{col 46}{space 3}0.139{col 54}{space 4}-.0157011{col 67}{space 3} .1109316
{txt}{space 7}_cons {c |}{col 14}{res}{space 2}-.0037606{col 26}{space 2} .0228506{col 37}{space 1}   -0.16{col 46}{space 3}0.869{col 54}{space 4}-.0488948{col 67}{space 3} .0413737
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
i.district{col 19}_Idistrict_1-16{col 39}(naturally coded; _Idistrict_1 omitted)
{res}
{txt}.3 Quantile regression
R-squared = {res}.14221033
{txt}Number of obs = {res}187
{txt}Objective function = {res}.01460433

{txt}Standard errors adjusted for {res}187{txt} clusters in hc_id
{res}{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}e_mortrat~05{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2}-.0109501{col 26}{space 2} .0105933{col 37}{space 1}   -1.03{col 46}{space 3}0.303{col 54}{space 4}-.0318738{col 67}{space 3} .0099736
{txt}b_mortrat~05 {c |}{col 14}{res}{space 2} .1790729{col 26}{space 2} .1550295{col 37}{space 1}    1.16{col 46}{space 3}0.250{col 54}{space 4}-.1271397{col 67}{space 3} .4852856
{txt}c_tf~_hc_hc2 {c |}{col 14}{res}{space 2} .0187799{col 26}{space 2} .0242866{col 37}{space 1}    0.77{col 46}{space 3}0.441{col 54}{space 4}-.0291908{col 67}{space 3} .0667506
{txt}c_tfull_hc~l {c |}{col 14}{res}{space 2}-.0000736{col 26}{space 2} .0301736{col 37}{space 1}   -0.00{col 46}{space 3}0.998{col 54}{space 4}-.0596722{col 67}{space 3} .0595251
{txt}c_tfull_hc~s {c |}{col 14}{res}{space 2} .0230227{col 26}{space 2} .0202778{col 37}{space 1}    1.14{col 46}{space 3}0.258{col 54}{space 4}-.0170297{col 67}{space 3} .0630752
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2} .0106743{col 26}{space 2} .0843667{col 37}{space 1}    0.13{col 46}{space 3}0.899{col 54}{space 4}-.1559658{col 67}{space 3} .1773144
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2}-.0087507{col 26}{space 2} .0073619{col 37}{space 1}   -1.19{col 46}{space 3}0.236{col 54}{space 4}-.0232918{col 67}{space 3} .0057905
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2} .0272648{col 26}{space 2} .0309051{col 37}{space 1}    0.88{col 46}{space 3}0.379{col 54}{space 4}-.0337786{col 67}{space 3} .0883083
{txt}c_treatful.. {c |}{col 14}{res}{space 2}-.0179394{col 26}{space 2} .0283595{col 37}{space 1}   -0.63{col 46}{space 3}0.528{col 54}{space 4}-.0739547{col 67}{space 3} .0380759
{txt}c_treatful.. {c |}{col 14}{res}{space 2} .0073792{col 26}{space 2} .0366362{col 37}{space 1}    0.20{col 46}{space 3}0.841{col 54}{space 4}-.0649842{col 67}{space 3} .0797426
{txt}c_treatful.. {c |}{col 14}{res}{space 2} -.043452{col 26}{space 2} .0269473{col 37}{space 1}   -1.61{col 46}{space 3}0.109{col 54}{space 4}-.0966781{col 67}{space 3} .0097741
{txt}c_treatful.. {c |}{col 14}{res}{space 2}-.1489656{col 26}{space 2} .1180092{col 37}{space 1}   -1.26{col 46}{space 3}0.209{col 54}{space 4}-.3820562{col 67}{space 3} .0841249
{txt}c_treatful.. {c |}{col 14}{res}{space 2}-.0062487{col 26}{space 2} .0113456{col 37}{space 1}   -0.55{col 46}{space 3}0.583{col 54}{space 4}-.0286583{col 67}{space 3}  .016161
{txt}c_treatful.. {c |}{col 14}{res}{space 2}-.0355964{col 26}{space 2} .0387829{col 37}{space 1}   -0.92{col 46}{space 3}0.360{col 54}{space 4}   -.1122{col 67}{space 3} .0410072
{txt}_Idistrict_2 {c |}{col 14}{res}{space 2} .0399543{col 26}{space 2} .0443736{col 37}{space 1}    0.90{col 46}{space 3}0.369{col 54}{space 4}-.0476918{col 67}{space 3} .1276005
{txt}_Idistrict_3 {c |}{col 14}{res}{space 2} .0369604{col 26}{space 2}  .057548{col 37}{space 1}    0.64{col 46}{space 3}0.522{col 54}{space 4}-.0767079{col 67}{space 3} .1506286
{txt}_Idistrict_4 {c |}{col 14}{res}{space 2}  .014164{col 26}{space 2} .0522663{col 37}{space 1}    0.27{col 46}{space 3}0.787{col 54}{space 4}-.0890718{col 67}{space 3} .1173998
{txt}_Idistrict_5 {c |}{col 14}{res}{space 2} .0453131{col 26}{space 2} .0481757{col 37}{space 1}    0.94{col 46}{space 3}0.348{col 54}{space 4}-.0498431{col 67}{space 3} .1404692
{txt}_Idistrict_6 {c |}{col 14}{res}{space 2} .0163193{col 26}{space 2} .0456216{col 37}{space 1}    0.36{col 46}{space 3}0.721{col 54}{space 4} -.073792{col 67}{space 3} .1064306
{txt}_Idistrict_7 {c |}{col 14}{res}{space 2} .0346569{col 26}{space 2} .0526058{col 37}{space 1}    0.66{col 46}{space 3}0.511{col 54}{space 4}-.0692494{col 67}{space 3} .1385632
{txt}_Idistrict_8 {c |}{col 14}{res}{space 2} .0205027{col 26}{space 2} .0563179{col 37}{space 1}    0.36{col 46}{space 3}0.716{col 54}{space 4}-.0907358{col 67}{space 3} .1317412
{txt}_Idistrict_9 {c |}{col 14}{res}{space 2} .0114747{col 26}{space 2} .0445843{col 37}{space 1}    0.26{col 46}{space 3}0.797{col 54}{space 4}-.0765877{col 67}{space 3} .0995371
{txt}_Idistric~10 {c |}{col 14}{res}{space 2} .0042989{col 26}{space 2} .0520827{col 37}{space 1}    0.08{col 46}{space 3}0.934{col 54}{space 4}-.0985743{col 67}{space 3} .1071721
{txt}_Idistric~11 {c |}{col 14}{res}{space 2}-.0137468{col 26}{space 2} .0497817{col 37}{space 1}   -0.28{col 46}{space 3}0.783{col 54}{space 4}-.1120751{col 67}{space 3} .0845815
{txt}_Idistric~12 {c |}{col 14}{res}{space 2} .0238442{col 26}{space 2}  .052526{col 37}{space 1}    0.45{col 46}{space 3}0.650{col 54}{space 4}-.0799046{col 67}{space 3}  .127593
{txt}_Idistric~13 {c |}{col 14}{res}{space 2} .0573151{col 26}{space 2} .0447175{col 37}{space 1}    1.28{col 46}{space 3}0.202{col 54}{space 4}-.0310104{col 67}{space 3} .1456406
{txt}_Idistric~14 {c |}{col 14}{res}{space 2} .0310317{col 26}{space 2} .0462795{col 37}{space 1}    0.67{col 46}{space 3}0.504{col 54}{space 4}-.0603791{col 67}{space 3} .1224425
{txt}_Idistric~15 {c |}{col 14}{res}{space 2} .0171878{col 26}{space 2} .0412761{col 37}{space 1}    0.42{col 46}{space 3}0.678{col 54}{space 4}-.0643402{col 67}{space 3} .0987158
{txt}_Idistric~16 {c |}{col 14}{res}{space 2} .0531557{col 26}{space 2} .0519942{col 37}{space 1}    1.02{col 46}{space 3}0.308{col 54}{space 4}-.0495427{col 67}{space 3} .1558541
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} -.000176{col 26}{space 2} .0383543{col 37}{space 1}   -0.00{col 46}{space 3}0.996{col 54}{space 4}-.0759331{col 67}{space 3} .0755811
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
i.district{col 19}_Idistrict_1-16{col 39}(naturally coded; _Idistrict_1 omitted)
{res}
{txt}.4 Quantile regression
R-squared = {res}.13078333
{txt}Number of obs = {res}187
{txt}Objective function = {res}.017385

{txt}Standard errors adjusted for {res}187{txt} clusters in hc_id
{res}{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}e_mortrat~05{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2} -.009856{col 26}{space 2} .0113471{col 37}{space 1}   -0.87{col 46}{space 3}0.386{col 54}{space 4}-.0322687{col 67}{space 3} .0125567
{txt}b_mortrat~05 {c |}{col 14}{res}{space 2} .1774651{col 26}{space 2} .0830135{col 37}{space 1}    2.14{col 46}{space 3}0.034{col 54}{space 4} .0134977{col 67}{space 3} .3414325
{txt}c_tf~_hc_hc2 {c |}{col 14}{res}{space 2} .0122659{col 26}{space 2}  .023072{col 37}{space 1}    0.53{col 46}{space 3}0.596{col 54}{space 4}-.0333056{col 67}{space 3} .0578374
{txt}c_tfull_hc~l {c |}{col 14}{res}{space 2}-.0072536{col 26}{space 2} .0215927{col 37}{space 1}   -0.34{col 46}{space 3}0.737{col 54}{space 4}-.0499033{col 67}{space 3} .0353961
{txt}c_tfull_hc~s {c |}{col 14}{res}{space 2} .0182036{col 26}{space 2} .0214835{col 37}{space 1}    0.85{col 46}{space 3}0.398{col 54}{space 4}-.0242303{col 67}{space 3} .0606376
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2}-.0003724{col 26}{space 2} .0821826{col 37}{space 1}   -0.00{col 46}{space 3}0.996{col 54}{space 4}-.1626986{col 67}{space 3} .1619538
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2}-.0137929{col 26}{space 2} .0103314{col 37}{space 1}   -1.34{col 46}{space 3}0.184{col 54}{space 4}-.0341994{col 67}{space 3} .0066137
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2} .0182096{col 26}{space 2}  .031494{col 37}{space 1}    0.58{col 46}{space 3}0.564{col 54}{space 4} -.043997{col 67}{space 3} .0804161
{txt}c_treatful.. {c |}{col 14}{res}{space 2}-.0127098{col 26}{space 2}  .029171{col 37}{space 1}   -0.44{col 46}{space 3}0.664{col 54}{space 4} -.070328{col 67}{space 3} .0449083
{txt}c_treatful.. {c |}{col 14}{res}{space 2} .0238807{col 26}{space 2} .0246416{col 37}{space 1}    0.97{col 46}{space 3}0.334{col 54}{space 4}-.0247912{col 67}{space 3} .0725526
{txt}c_treatful.. {c |}{col 14}{res}{space 2}-.0566017{col 26}{space 2} .0273662{col 37}{space 1}   -2.07{col 46}{space 3}0.040{col 54}{space 4}-.1106551{col 67}{space 3}-.0025483
{txt}c_treatful.. {c |}{col 14}{res}{space 2} -.120214{col 26}{space 2} .1201786{col 37}{space 1}   -1.00{col 46}{space 3}0.319{col 54}{space 4}-.3575895{col 67}{space 3} .1171614
{txt}c_treatful.. {c |}{col 14}{res}{space 2}-.0034208{col 26}{space 2} .0124411{col 37}{space 1}   -0.27{col 46}{space 3}0.784{col 54}{space 4}-.0279943{col 67}{space 3} .0211528
{txt}c_treatful.. {c |}{col 14}{res}{space 2}-.0276899{col 26}{space 2} .0396904{col 37}{space 1}   -0.70{col 46}{space 3}0.486{col 54}{space 4} -.106086{col 67}{space 3} .0507061
{txt}_Idistrict_2 {c |}{col 14}{res}{space 2} .0476238{col 26}{space 2} .0319157{col 37}{space 1}    1.49{col 46}{space 3}0.138{col 54}{space 4}-.0154158{col 67}{space 3} .1106633
{txt}_Idistrict_3 {c |}{col 14}{res}{space 2} .0180734{col 26}{space 2} .0395312{col 37}{space 1}    0.46{col 46}{space 3}0.648{col 54}{space 4}-.0600081{col 67}{space 3}  .096155
{txt}_Idistrict_4 {c |}{col 14}{res}{space 2} -.010199{col 26}{space 2} .0372659{col 37}{space 1}   -0.27{col 46}{space 3}0.785{col 54}{space 4}-.0838063{col 67}{space 3} .0634082
{txt}_Idistrict_5 {c |}{col 14}{res}{space 2}   .03465{col 26}{space 2} .0418964{col 37}{space 1}    0.83{col 46}{space 3}0.409{col 54}{space 4}-.0481034{col 67}{space 3} .1174033
{txt}_Idistrict_6 {c |}{col 14}{res}{space 2} .0007814{col 26}{space 2} .0355966{col 37}{space 1}    0.02{col 46}{space 3}0.983{col 54}{space 4}-.0695286{col 67}{space 3} .0710915
{txt}_Idistrict_7 {c |}{col 14}{res}{space 2} .0123829{col 26}{space 2}  .036923{col 37}{space 1}    0.34{col 46}{space 3}0.738{col 54}{space 4} -.060547{col 67}{space 3} .0853128
{txt}_Idistrict_8 {c |}{col 14}{res}{space 2} .0052357{col 26}{space 2} .0305776{col 37}{space 1}    0.17{col 46}{space 3}0.864{col 54}{space 4}-.0551607{col 67}{space 3} .0656322
{txt}_Idistrict_9 {c |}{col 14}{res}{space 2} .0080576{col 26}{space 2} .0322938{col 37}{space 1}    0.25{col 46}{space 3}0.803{col 54}{space 4}-.0557288{col 67}{space 3}  .071844
{txt}_Idistric~10 {c |}{col 14}{res}{space 2}-.0020414{col 26}{space 2} .0354554{col 37}{space 1}   -0.06{col 46}{space 3}0.954{col 54}{space 4}-.0720725{col 67}{space 3} .0679897
{txt}_Idistric~11 {c |}{col 14}{res}{space 2}-.0297814{col 26}{space 2} .0299179{col 37}{space 1}   -1.00{col 46}{space 3}0.321{col 54}{space 4}-.0888749{col 67}{space 3} .0293121
{txt}_Idistric~12 {c |}{col 14}{res}{space 2} .0481873{col 26}{space 2} .0533995{col 37}{space 1}    0.90{col 46}{space 3}0.368{col 54}{space 4}-.0572868{col 67}{space 3} .1536613
{txt}_Idistric~13 {c |}{col 14}{res}{space 2} .0367648{col 26}{space 2} .0315648{col 37}{space 1}    1.16{col 46}{space 3}0.246{col 54}{space 4}-.0255817{col 67}{space 3} .0991113
{txt}_Idistric~14 {c |}{col 14}{res}{space 2} .0140103{col 26}{space 2} .0382631{col 37}{space 1}    0.37{col 46}{space 3}0.715{col 54}{space 4}-.0615664{col 67}{space 3} .0895871
{txt}_Idistric~15 {c |}{col 14}{res}{space 2} .0223429{col 26}{space 2} .0295614{col 37}{space 1}    0.76{col 46}{space 3}0.451{col 54}{space 4}-.0360465{col 67}{space 3} .0807323
{txt}_Idistric~16 {c |}{col 14}{res}{space 2}  .023802{col 26}{space 2} .0330407{col 37}{space 1}    0.72{col 46}{space 3}0.472{col 54}{space 4}-.0414596{col 67}{space 3} .0890635
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} .0196844{col 26}{space 2} .0272252{col 37}{space 1}    0.72{col 46}{space 3}0.471{col 54}{space 4}-.0340905{col 67}{space 3} .0734593
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
i.district{col 19}_Idistrict_1-16{col 39}(naturally coded; _Idistrict_1 omitted)
{res}
{txt}Median regression
R-squared = {res}.1246216
{txt}Number of obs = {res}187
{txt}Objective function = {res}.018815

{txt}Standard errors adjusted for {res}187{txt} clusters in hc_id
{res}{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}e_mortrat~05{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2}-.0194808{col 26}{space 2} .0132607{col 37}{space 1}   -1.47{col 46}{space 3}0.144{col 54}{space 4}-.0456732{col 67}{space 3} .0067116
{txt}b_mortrat~05 {c |}{col 14}{res}{space 2} .1390451{col 26}{space 2} .1010915{col 37}{space 1}    1.38{col 46}{space 3}0.171{col 54}{space 4}-.0606298{col 67}{space 3}   .33872
{txt}c_tf~_hc_hc2 {c |}{col 14}{res}{space 2}-.0031846{col 26}{space 2} .0265404{col 37}{space 1}   -0.12{col 46}{space 3}0.905{col 54}{space 4}-.0556069{col 67}{space 3} .0492377
{txt}c_tfull_hc~l {c |}{col 14}{res}{space 2}-.0103816{col 26}{space 2} .0271729{col 37}{space 1}   -0.38{col 46}{space 3}0.703{col 54}{space 4}-.0640533{col 67}{space 3} .0432901
{txt}c_tfull_hc~s {c |}{col 14}{res}{space 2} .0235043{col 26}{space 2} .0266076{col 37}{space 1}    0.88{col 46}{space 3}0.378{col 54}{space 4}-.0290508{col 67}{space 3} .0760594
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2} .0784577{col 26}{space 2} .0989308{col 37}{space 1}    0.79{col 46}{space 3}0.429{col 54}{space 4}-.1169493{col 67}{space 3} .2738647
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2}-.0073402{col 26}{space 2} .0120421{col 37}{space 1}   -0.61{col 46}{space 3}0.543{col 54}{space 4}-.0311255{col 67}{space 3} .0164452
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2}  .021948{col 26}{space 2} .0285626{col 37}{space 1}    0.77{col 46}{space 3}0.443{col 54}{space 4}-.0344685{col 67}{space 3} .0783644
{txt}c_treatful.. {c |}{col 14}{res}{space 2} .0101132{col 26}{space 2} .0296607{col 37}{space 1}    0.34{col 46}{space 3}0.734{col 54}{space 4}-.0484723{col 67}{space 3} .0686988
{txt}c_treatful.. {c |}{col 14}{res}{space 2} .0310446{col 26}{space 2}  .031822{col 37}{space 1}    0.98{col 46}{space 3}0.331{col 54}{space 4}-.0318098{col 67}{space 3}  .093899
{txt}c_treatful.. {c |}{col 14}{res}{space 2}-.0509631{col 26}{space 2} .0296324{col 37}{space 1}   -1.72{col 46}{space 3}0.087{col 54}{space 4}-.1094926{col 67}{space 3} .0075664
{txt}c_treatful.. {c |}{col 14}{res}{space 2}-.2653178{col 26}{space 2} .1703732{col 37}{space 1}   -1.56{col 46}{space 3}0.121{col 54}{space 4}-.6018371{col 67}{space 3} .0712016
{txt}c_treatful.. {c |}{col 14}{res}{space 2}-.0117587{col 26}{space 2} .0166966{col 37}{space 1}   -0.70{col 46}{space 3}0.482{col 54}{space 4}-.0447376{col 67}{space 3} .0212202
{txt}c_treatful.. {c |}{col 14}{res}{space 2}-.0240639{col 26}{space 2}  .040521{col 37}{space 1}   -0.59{col 46}{space 3}0.553{col 54}{space 4}-.1041006{col 67}{space 3} .0559728
{txt}_Idistrict_2 {c |}{col 14}{res}{space 2} .0578144{col 26}{space 2} .0349611{col 37}{space 1}    1.65{col 46}{space 3}0.100{col 54}{space 4}-.0112403{col 67}{space 3} .1268691
{txt}_Idistrict_3 {c |}{col 14}{res}{space 2} .0313744{col 26}{space 2} .0371999{col 37}{space 1}    0.84{col 46}{space 3}0.400{col 54}{space 4}-.0421024{col 67}{space 3} .1048511
{txt}_Idistrict_4 {c |}{col 14}{res}{space 2} .0278955{col 26}{space 2} .0446399{col 37}{space 1}    0.62{col 46}{space 3}0.533{col 54}{space 4}-.0602768{col 67}{space 3} .1160678
{txt}_Idistrict_5 {c |}{col 14}{res}{space 2} .0396649{col 26}{space 2} .0450246{col 37}{space 1}    0.88{col 46}{space 3}0.380{col 54}{space 4}-.0492672{col 67}{space 3} .1285969
{txt}_Idistrict_6 {c |}{col 14}{res}{space 2}  .046632{col 26}{space 2} .0527152{col 37}{space 1}    0.88{col 46}{space 3}0.378{col 54}{space 4}-.0574906{col 67}{space 3} .1507545
{txt}_Idistrict_7 {c |}{col 14}{res}{space 2} .0240646{col 26}{space 2}  .037587{col 37}{space 1}    0.64{col 46}{space 3}0.523{col 54}{space 4}-.0501769{col 67}{space 3} .0983061
{txt}_Idistrict_8 {c |}{col 14}{res}{space 2} .0360437{col 26}{space 2} .0401994{col 37}{space 1}    0.90{col 46}{space 3}0.371{col 54}{space 4}-.0433577{col 67}{space 3} .1154452
{txt}_Idistrict_9 {c |}{col 14}{res}{space 2}-.0067938{col 26}{space 2} .0393197{col 37}{space 1}   -0.17{col 46}{space 3}0.863{col 54}{space 4}-.0844576{col 67}{space 3} .0708701
{txt}_Idistric~10 {c |}{col 14}{res}{space 2} .0155241{col 26}{space 2} .0854592{col 37}{space 1}    0.18{col 46}{space 3}0.856{col 54}{space 4} -.153274{col 67}{space 3} .1843222
{txt}_Idistric~11 {c |}{col 14}{res}{space 2} .0010692{col 26}{space 2} .0332266{col 37}{space 1}    0.03{col 46}{space 3}0.974{col 54}{space 4}-.0645595{col 67}{space 3}  .066698
{txt}_Idistric~12 {c |}{col 14}{res}{space 2} .0624216{col 26}{space 2} .0339721{col 37}{space 1}    1.84{col 46}{space 3}0.068{col 54}{space 4}-.0046797{col 67}{space 3} .1295229
{txt}_Idistric~13 {c |}{col 14}{res}{space 2} .0445146{col 26}{space 2} .0378964{col 37}{space 1}    1.17{col 46}{space 3}0.242{col 54}{space 4}-.0303379{col 67}{space 3} .1193671
{txt}_Idistric~14 {c |}{col 14}{res}{space 2} .0208521{col 26}{space 2} .0343177{col 37}{space 1}    0.61{col 46}{space 3}0.544{col 54}{space 4}-.0469319{col 67}{space 3}  .088636
{txt}_Idistric~15 {c |}{col 14}{res}{space 2} .0281203{col 26}{space 2}  .044861{col 37}{space 1}    0.63{col 46}{space 3}0.532{col 54}{space 4}-.0604886{col 67}{space 3} .1167293
{txt}_Idistric~16 {c |}{col 14}{res}{space 2} .0421122{col 26}{space 2} .0362063{col 37}{space 1}    1.16{col 46}{space 3}0.247{col 54}{space 4}-.0294022{col 67}{space 3} .1136266
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} .0262399{col 26}{space 2} .0309557{col 37}{space 1}    0.85{col 46}{space 3}0.398{col 54}{space 4}-.0349035{col 67}{space 3} .0873833
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
i.district{col 19}_Idistrict_1-16{col 39}(naturally coded; _Idistrict_1 omitted)
{res}
{txt}.6 Quantile regression
R-squared = {res}.11325199
{txt}Number of obs = {res}187
{txt}Objective function = {res}.01870506

{txt}Standard errors adjusted for {res}187{txt} clusters in hc_id
{res}{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}e_mortrat~05{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2}-.0141786{col 26}{space 2} .0116064{col 37}{space 1}   -1.22{col 46}{space 3}0.224{col 54}{space 4}-.0371033{col 67}{space 3} .0087462
{txt}b_mortrat~05 {c |}{col 14}{res}{space 2} .0889958{col 26}{space 2} .1206049{col 37}{space 1}    0.74{col 46}{space 3}0.462{col 54}{space 4}-.1492217{col 67}{space 3} .3272133
{txt}c_tf~_hc_hc2 {c |}{col 14}{res}{space 2} .0184627{col 26}{space 2} .0262188{col 37}{space 1}    0.70{col 46}{space 3}0.482{col 54}{space 4}-.0333244{col 67}{space 3} .0702498
{txt}c_tfull_hc~l {c |}{col 14}{res}{space 2}-.0080069{col 26}{space 2} .0243786{col 37}{space 1}   -0.33{col 46}{space 3}0.743{col 54}{space 4}-.0561592{col 67}{space 3} .0401454
{txt}c_tfull_hc~s {c |}{col 14}{res}{space 2} .0443124{col 26}{space 2} .0229503{col 37}{space 1}    1.93{col 46}{space 3}0.055{col 54}{space 4}-.0010188{col 67}{space 3} .0896437
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2}  .074734{col 26}{space 2} .1707406{col 37}{space 1}    0.44{col 46}{space 3}0.662{col 54}{space 4}-.2625109{col 67}{space 3} .4119788
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2}-.0027443{col 26}{space 2} .0096365{col 37}{space 1}   -0.28{col 46}{space 3}0.776{col 54}{space 4}-.0217782{col 67}{space 3} .0162896
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2} .0031812{col 26}{space 2}  .031523{col 37}{space 1}    0.10{col 46}{space 3}0.920{col 54}{space 4}-.0590827{col 67}{space 3} .0654452
{txt}c_treatful.. {c |}{col 14}{res}{space 2} .0091167{col 26}{space 2} .0296708{col 37}{space 1}    0.31{col 46}{space 3}0.759{col 54}{space 4}-.0494888{col 67}{space 3} .0677222
{txt}c_treatful.. {c |}{col 14}{res}{space 2} .0156609{col 26}{space 2} .0279838{col 37}{space 1}    0.56{col 46}{space 3}0.577{col 54}{space 4}-.0396124{col 67}{space 3} .0709342
{txt}c_treatful.. {c |}{col 14}{res}{space 2}-.0461748{col 26}{space 2} .0297593{col 37}{space 1}   -1.55{col 46}{space 3}0.123{col 54}{space 4}-.1049551{col 67}{space 3} .0126055
{txt}c_treatful.. {c |}{col 14}{res}{space 2}-.3813225{col 26}{space 2} .1932726{col 37}{space 1}   -1.97{col 46}{space 3}0.050{col 54}{space 4}-.7630725{col 67}{space 3} .0004275
{txt}c_treatful.. {c |}{col 14}{res}{space 2}-.0119273{col 26}{space 2} .0112166{col 37}{space 1}   -1.06{col 46}{space 3}0.289{col 54}{space 4}-.0340822{col 67}{space 3} .0102275
{txt}c_treatful.. {c |}{col 14}{res}{space 2}-.0271202{col 26}{space 2} .0354809{col 37}{space 1}   -0.76{col 46}{space 3}0.446{col 54}{space 4}-.0972018{col 67}{space 3} .0429613
{txt}_Idistrict_2 {c |}{col 14}{res}{space 2} .0315466{col 26}{space 2}  .040815{col 37}{space 1}    0.77{col 46}{space 3}0.441{col 54}{space 4}-.0490707{col 67}{space 3} .1121639
{txt}_Idistrict_3 {c |}{col 14}{res}{space 2} .0332514{col 26}{space 2} .0388117{col 37}{space 1}    0.86{col 46}{space 3}0.393{col 54}{space 4}-.0434091{col 67}{space 3} .1099118
{txt}_Idistrict_4 {c |}{col 14}{res}{space 2}  .007079{col 26}{space 2}  .045843{col 37}{space 1}    0.15{col 46}{space 3}0.877{col 54}{space 4}-.0834696{col 67}{space 3} .0976277
{txt}_Idistrict_5 {c |}{col 14}{res}{space 2} .0264294{col 26}{space 2} .0451975{col 37}{space 1}    0.58{col 46}{space 3}0.560{col 54}{space 4}-.0628441{col 67}{space 3}  .115703
{txt}_Idistrict_6 {c |}{col 14}{res}{space 2} .0299326{col 26}{space 2} .0437503{col 37}{space 1}    0.68{col 46}{space 3}0.495{col 54}{space 4}-.0564825{col 67}{space 3} .1163478
{txt}_Idistrict_7 {c |}{col 14}{res}{space 2} .0193316{col 26}{space 2} .0429573{col 37}{space 1}    0.45{col 46}{space 3}0.653{col 54}{space 4}-.0655172{col 67}{space 3} .1041805
{txt}_Idistrict_8 {c |}{col 14}{res}{space 2} .0108132{col 26}{space 2} .0382951{col 37}{space 1}    0.28{col 46}{space 3}0.778{col 54}{space 4}-.0648269{col 67}{space 3} .0864534
{txt}_Idistrict_9 {c |}{col 14}{res}{space 2}-.0116365{col 26}{space 2}  .054228{col 37}{space 1}   -0.21{col 46}{space 3}0.830{col 54}{space 4} -.118747{col 67}{space 3}  .095474
{txt}_Idistric~10 {c |}{col 14}{res}{space 2} .0144637{col 26}{space 2} .0544863{col 37}{space 1}    0.27{col 46}{space 3}0.791{col 54}{space 4} -.093157{col 67}{space 3} .1220843
{txt}_Idistric~11 {c |}{col 14}{res}{space 2} .0031846{col 26}{space 2} .0409506{col 37}{space 1}    0.08{col 46}{space 3}0.938{col 54}{space 4}-.0777007{col 67}{space 3} .0840698
{txt}_Idistric~12 {c |}{col 14}{res}{space 2} .0675523{col 26}{space 2} .0395171{col 37}{space 1}    1.71{col 46}{space 3}0.089{col 54}{space 4}-.0105014{col 67}{space 3}  .145606
{txt}_Idistric~13 {c |}{col 14}{res}{space 2} .0383216{col 26}{space 2} .0408975{col 37}{space 1}    0.94{col 46}{space 3}0.350{col 54}{space 4}-.0424587{col 67}{space 3} .1191019
{txt}_Idistric~14 {c |}{col 14}{res}{space 2} .0279503{col 26}{space 2} .0384501{col 37}{space 1}    0.73{col 46}{space 3}0.468{col 54}{space 4}-.0479959{col 67}{space 3} .1038966
{txt}_Idistric~15 {c |}{col 14}{res}{space 2}  .037437{col 26}{space 2} .0449124{col 37}{space 1}    0.83{col 46}{space 3}0.406{col 54}{space 4}-.0512734{col 67}{space 3} .1261475
{txt}_Idistric~16 {c |}{col 14}{res}{space 2} .0422105{col 26}{space 2} .0413858{col 37}{space 1}    1.02{col 46}{space 3}0.309{col 54}{space 4}-.0395343{col 67}{space 3} .1239554
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} .0422279{col 26}{space 2} .0364138{col 37}{space 1}    1.16{col 46}{space 3}0.248{col 54}{space 4}-.0296962{col 67}{space 3} .1141519
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
i.district{col 19}_Idistrict_1-16{col 39}(naturally coded; _Idistrict_1 omitted)
{res}
{txt}.7 Quantile regression
R-squared = {res}.13660103
{txt}Number of obs = {res}187
{txt}Objective function = {res}.01713816

{txt}Standard errors adjusted for {res}187{txt} clusters in hc_id
{res}{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}e_mortrat~05{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2}-.0159075{col 26}{space 2} .0151159{col 37}{space 1}   -1.05{col 46}{space 3}0.294{col 54}{space 4}-.0457642{col 67}{space 3} .0139493
{txt}b_mortrat~05 {c |}{col 14}{res}{space 2} .0385858{col 26}{space 2} .1325783{col 37}{space 1}    0.29{col 46}{space 3}0.771{col 54}{space 4}-.2232814{col 67}{space 3} .3004529
{txt}c_tf~_hc_hc2 {c |}{col 14}{res}{space 2} .0151074{col 26}{space 2} .0345869{col 37}{space 1}    0.44{col 46}{space 3}0.663{col 54}{space 4}-.0532082{col 67}{space 3}  .083423
{txt}c_tfull_hc~l {c |}{col 14}{res}{space 2}-.0013822{col 26}{space 2} .0365046{col 37}{space 1}   -0.04{col 46}{space 3}0.970{col 54}{space 4}-.0734857{col 67}{space 3} .0707214
{txt}c_tfull_hc~s {c |}{col 14}{res}{space 2} .0224176{col 26}{space 2} .0343671{col 37}{space 1}    0.65{col 46}{space 3}0.515{col 54}{space 4}-.0454639{col 67}{space 3} .0902991
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2} .0015407{col 26}{space 2} .0689525{col 37}{space 1}    0.02{col 46}{space 3}0.982{col 54}{space 4}-.1346536{col 67}{space 3}  .137735
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2}-.0150414{col 26}{space 2}  .017275{col 37}{space 1}   -0.87{col 46}{space 3}0.385{col 54}{space 4}-.0491627{col 67}{space 3} .0190799
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2} .0221347{col 26}{space 2}  .045512{col 37}{space 1}    0.49{col 46}{space 3}0.627{col 54}{space 4}  -.06776{col 67}{space 3} .1120295
{txt}c_treatful.. {c |}{col 14}{res}{space 2} .0058966{col 26}{space 2} .0374526{col 37}{space 1}    0.16{col 46}{space 3}0.875{col 54}{space 4}-.0680793{col 67}{space 3} .0798726
{txt}c_treatful.. {c |}{col 14}{res}{space 2} .0175497{col 26}{space 2} .0327781{col 37}{space 1}    0.54{col 46}{space 3}0.593{col 54}{space 4}-.0471931{col 67}{space 3} .0822926
{txt}c_treatful.. {c |}{col 14}{res}{space 2} -.025886{col 26}{space 2} .0650021{col 37}{space 1}   -0.40{col 46}{space 3}0.691{col 54}{space 4}-.1542774{col 67}{space 3} .1025055
{txt}c_treatful.. {c |}{col 14}{res}{space 2}-.2095938{col 26}{space 2}  .157177{col 37}{space 1}   -1.33{col 46}{space 3}0.184{col 54}{space 4} -.520048{col 67}{space 3} .1008604
{txt}c_treatful.. {c |}{col 14}{res}{space 2} .0115938{col 26}{space 2} .0154219{col 37}{space 1}    0.75{col 46}{space 3}0.453{col 54}{space 4}-.0188674{col 67}{space 3} .0420551
{txt}c_treatful.. {c |}{col 14}{res}{space 2}-.0436268{col 26}{space 2} .0428307{col 37}{space 1}   -1.02{col 46}{space 3}0.310{col 54}{space 4}-.1282256{col 67}{space 3}  .040972
{txt}_Idistrict_2 {c |}{col 14}{res}{space 2} .0407581{col 26}{space 2}  .044078{col 37}{space 1}    0.92{col 46}{space 3}0.357{col 54}{space 4}-.0463043{col 67}{space 3} .1278204
{txt}_Idistrict_3 {c |}{col 14}{res}{space 2} .0322031{col 26}{space 2} .0415988{col 37}{space 1}    0.77{col 46}{space 3}0.440{col 54}{space 4}-.0499625{col 67}{space 3} .1143687
{txt}_Idistrict_4 {c |}{col 14}{res}{space 2}  .014165{col 26}{space 2} .0570072{col 37}{space 1}    0.25{col 46}{space 3}0.804{col 54}{space 4} -.098435{col 67}{space 3} .1267649
{txt}_Idistrict_5 {c |}{col 14}{res}{space 2} .0288052{col 26}{space 2}   .06585{col 37}{space 1}    0.44{col 46}{space 3}0.662{col 54}{space 4}-.1012611{col 67}{space 3} .1588714
{txt}_Idistrict_6 {c |}{col 14}{res}{space 2} .0316689{col 26}{space 2} .0465106{col 37}{space 1}    0.68{col 46}{space 3}0.497{col 54}{space 4}-.0601983{col 67}{space 3} .1235362
{txt}_Idistrict_7 {c |}{col 14}{res}{space 2} .0146733{col 26}{space 2} .0476066{col 37}{space 1}    0.31{col 46}{space 3}0.758{col 54}{space 4}-.0793587{col 67}{space 3} .1087053
{txt}_Idistrict_8 {c |}{col 14}{res}{space 2} .0094957{col 26}{space 2} .0436331{col 37}{space 1}    0.22{col 46}{space 3}0.828{col 54}{space 4}-.0766878{col 67}{space 3} .0956793
{txt}_Idistrict_9 {c |}{col 14}{res}{space 2} .0099889{col 26}{space 2} .0588673{col 37}{space 1}    0.17{col 46}{space 3}0.865{col 54}{space 4}-.1062852{col 67}{space 3} .1262629
{txt}_Idistric~10 {c |}{col 14}{res}{space 2} .0397646{col 26}{space 2} .0593904{col 37}{space 1}    0.67{col 46}{space 3}0.504{col 54}{space 4}-.0775427{col 67}{space 3} .1570718
{txt}_Idistric~11 {c |}{col 14}{res}{space 2} .0056208{col 26}{space 2} .0413118{col 37}{space 1}    0.14{col 46}{space 3}0.892{col 54}{space 4}-.0759779{col 67}{space 3} .0872195
{txt}_Idistric~12 {c |}{col 14}{res}{space 2} .0493603{col 26}{space 2} .0475603{col 37}{space 1}    1.04{col 46}{space 3}0.301{col 54}{space 4}-.0445804{col 67}{space 3}  .143301
{txt}_Idistric~13 {c |}{col 14}{res}{space 2} .0939258{col 26}{space 2} .0571723{col 37}{space 1}    1.64{col 46}{space 3}0.102{col 54}{space 4}-.0190002{col 67}{space 3} .2068518
{txt}_Idistric~14 {c |}{col 14}{res}{space 2}  .012876{col 26}{space 2}  .052065{col 37}{space 1}    0.25{col 46}{space 3}0.805{col 54}{space 4}-.0899622{col 67}{space 3} .1157142
{txt}_Idistric~15 {c |}{col 14}{res}{space 2}  .030289{col 26}{space 2} .0501815{col 37}{space 1}    0.60{col 46}{space 3}0.547{col 54}{space 4} -.068829{col 67}{space 3}  .129407
{txt}_Idistric~16 {c |}{col 14}{res}{space 2} .0351856{col 26}{space 2} .0507059{col 37}{space 1}    0.69{col 46}{space 3}0.489{col 54}{space 4}-.0649681{col 67}{space 3} .1353394
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} .0597885{col 26}{space 2} .0404356{col 37}{space 1}    1.48{col 46}{space 3}0.141{col 54}{space 4}-.0200794{col 67}{space 3} .1396564
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
i.district{col 19}_Idistrict_1-16{col 39}(naturally coded; _Idistrict_1 omitted)
{res}
{txt}.8 Quantile regression
R-squared = {res}.11710267
{txt}Number of obs = {res}187
{txt}Objective function = {res}.01356149

{txt}Standard errors adjusted for {res}187{txt} clusters in hc_id
{res}{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}e_mortrat~05{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2}-.0209436{col 26}{space 2} .0140201{col 37}{space 1}   -1.49{col 46}{space 3}0.137{col 54}{space 4} -.048636{col 67}{space 3} .0067488
{txt}b_mortrat~05 {c |}{col 14}{res}{space 2} .0132626{col 26}{space 2} .1282325{col 37}{space 1}    0.10{col 46}{space 3}0.918{col 54}{space 4}-.2400208{col 67}{space 3} .2665459
{txt}c_tf~_hc_hc2 {c |}{col 14}{res}{space 2}-.0068036{col 26}{space 2} .0326927{col 37}{space 1}   -0.21{col 46}{space 3}0.835{col 54}{space 4}-.0713779{col 67}{space 3} .0577708
{txt}c_tfull_hc~l {c |}{col 14}{res}{space 2}-.0165912{col 26}{space 2} .0530919{col 37}{space 1}   -0.31{col 46}{space 3}0.755{col 54}{space 4}-.1214578{col 67}{space 3} .0882753
{txt}c_tfull_hc~s {c |}{col 14}{res}{space 2} .0057885{col 26}{space 2} .0529032{col 37}{space 1}    0.11{col 46}{space 3}0.913{col 54}{space 4}-.0987054{col 67}{space 3} .1102824
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2} .0192049{col 26}{space 2}  .087135{col 37}{space 1}    0.22{col 46}{space 3}0.826{col 54}{space 4}-.1529033{col 67}{space 3}  .191313
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2} .0059153{col 26}{space 2} .0219624{col 37}{space 1}    0.27{col 46}{space 3}0.788{col 54}{space 4}-.0374646{col 67}{space 3} .0492952
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2}-.0000184{col 26}{space 2} .0474091{col 37}{space 1}   -0.00{col 46}{space 3}1.000{col 54}{space 4}-.0936603{col 67}{space 3} .0936235
{txt}c_treatful.. {c |}{col 14}{res}{space 2} .0220212{col 26}{space 2} .0442323{col 37}{space 1}    0.50{col 46}{space 3}0.619{col 54}{space 4} -.065346{col 67}{space 3} .1093884
{txt}c_treatful.. {c |}{col 14}{res}{space 2} .0198753{col 26}{space 2} .0566828{col 37}{space 1}    0.35{col 46}{space 3}0.726{col 54}{space 4} -.092084{col 67}{space 3} .1318346
{txt}c_treatful.. {c |}{col 14}{res}{space 2} -.047959{col 26}{space 2}  .057395{col 37}{space 1}   -0.84{col 46}{space 3}0.405{col 54}{space 4}-.1613251{col 67}{space 3} .0654071
{txt}c_treatful.. {c |}{col 14}{res}{space 2}-.1951072{col 26}{space 2} .1717668{col 37}{space 1}   -1.14{col 46}{space 3}0.258{col 54}{space 4}-.5343791{col 67}{space 3} .1441648
{txt}c_treatful.. {c |}{col 14}{res}{space 2} .0001317{col 26}{space 2} .0223906{col 37}{space 1}    0.01{col 46}{space 3}0.995{col 54}{space 4} -.044094{col 67}{space 3} .0443573
{txt}c_treatful.. {c |}{col 14}{res}{space 2} -.036466{col 26}{space 2} .0647445{col 37}{space 1}   -0.56{col 46}{space 3}0.574{col 54}{space 4}-.1643487{col 67}{space 3} .0914166
{txt}_Idistrict_2 {c |}{col 14}{res}{space 2}-.0136776{col 26}{space 2} .0859936{col 37}{space 1}   -0.16{col 46}{space 3}0.874{col 54}{space 4}-.1835312{col 67}{space 3} .1561759
{txt}_Idistrict_3 {c |}{col 14}{res}{space 2} .0275649{col 26}{space 2} .0859236{col 37}{space 1}    0.32{col 46}{space 3}0.749{col 54}{space 4}-.1421503{col 67}{space 3} .1972802
{txt}_Idistrict_4 {c |}{col 14}{res}{space 2}-.0230134{col 26}{space 2} .0943712{col 37}{space 1}   -0.24{col 46}{space 3}0.808{col 54}{space 4}-.2094143{col 67}{space 3} .1633875
{txt}_Idistrict_5 {c |}{col 14}{res}{space 2}-.0174166{col 26}{space 2} .1009417{col 37}{space 1}   -0.17{col 46}{space 3}0.863{col 54}{space 4}-.2167956{col 67}{space 3} .1819624
{txt}_Idistrict_6 {c |}{col 14}{res}{space 2}-.0086905{col 26}{space 2} .0910551{col 37}{space 1}   -0.10{col 46}{space 3}0.924{col 54}{space 4}-.1885415{col 67}{space 3} .1711604
{txt}_Idistrict_7 {c |}{col 14}{res}{space 2}-.0199034{col 26}{space 2} .0912723{col 37}{space 1}   -0.22{col 46}{space 3}0.828{col 54}{space 4}-.2001834{col 67}{space 3} .1603766
{txt}_Idistrict_8 {c |}{col 14}{res}{space 2}-.0311938{col 26}{space 2}  .084637{col 37}{space 1}   -0.37{col 46}{space 3}0.713{col 54}{space 4}-.1983679{col 67}{space 3} .1359803
{txt}_Idistrict_9 {c |}{col 14}{res}{space 2}-.0431287{col 26}{space 2} .0962029{col 37}{space 1}   -0.45{col 46}{space 3}0.655{col 54}{space 4}-.2331477{col 67}{space 3} .1468903
{txt}_Idistric~10 {c |}{col 14}{res}{space 2}-.0313146{col 26}{space 2} .1033062{col 37}{space 1}   -0.30{col 46}{space 3}0.762{col 54}{space 4}-.2353639{col 67}{space 3} .1727347
{txt}_Idistric~11 {c |}{col 14}{res}{space 2}-.0696265{col 26}{space 2} .0947766{col 37}{space 1}   -0.73{col 46}{space 3}0.464{col 54}{space 4}-.2568283{col 67}{space 3} .1175752
{txt}_Idistric~12 {c |}{col 14}{res}{space 2} .0030912{col 26}{space 2} .0899774{col 37}{space 1}    0.03{col 46}{space 3}0.973{col 54}{space 4}-.1746312{col 67}{space 3} .1808136
{txt}_Idistric~13 {c |}{col 14}{res}{space 2}  .046351{col 26}{space 2} .1059539{col 37}{space 1}    0.44{col 46}{space 3}0.662{col 54}{space 4} -.162928{col 67}{space 3}   .25563
{txt}_Idistric~14 {c |}{col 14}{res}{space 2}-.0663623{col 26}{space 2} .1041992{col 37}{space 1}   -0.64{col 46}{space 3}0.525{col 54}{space 4}-.2721753{col 67}{space 3} .1394508
{txt}_Idistric~15 {c |}{col 14}{res}{space 2}-.0111102{col 26}{space 2} .1019835{col 37}{space 1}   -0.11{col 46}{space 3}0.913{col 54}{space 4}-.2125468{col 67}{space 3} .1903265
{txt}_Idistric~16 {c |}{col 14}{res}{space 2}-.0522997{col 26}{space 2} .1036717{col 37}{space 1}   -0.50{col 46}{space 3}0.615{col 54}{space 4} -.257071{col 67}{space 3} .1524716
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} .1290524{col 26}{space 2} .0912607{col 37}{space 1}    1.41{col 46}{space 3}0.159{col 54}{space 4}-.0512047{col 67}{space 3} .3093095
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
i.district{col 19}_Idistrict_1-16{col 39}(naturally coded; _Idistrict_1 omitted)
{res}
{txt}.9 Quantile regression
R-squared = {res}.09291766
{txt}Number of obs = {res}187
{txt}Objective function = {res}.00786137

{txt}Standard errors adjusted for {res}187{txt} clusters in hc_id
{res}{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}e_mortrat~05{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2}-.0208173{col 26}{space 2} .0080856{col 37}{space 1}   -2.57{col 46}{space 3}0.011{col 54}{space 4} -.036788{col 67}{space 3}-.0048467
{txt}b_mortrat~05 {c |}{col 14}{res}{space 2} .0608849{col 26}{space 2} .0746395{col 37}{space 1}    0.82{col 46}{space 3}0.416{col 54}{space 4}-.0865422{col 67}{space 3} .2083121
{txt}c_tf~_hc_hc2 {c |}{col 14}{res}{space 2}-.0050469{col 26}{space 2} .0163226{col 37}{space 1}   -0.31{col 46}{space 3}0.758{col 54}{space 4}-.0372872{col 67}{space 3} .0271934
{txt}c_tfull_hc~l {c |}{col 14}{res}{space 2}  .013707{col 26}{space 2} .0206945{col 37}{space 1}    0.66{col 46}{space 3}0.509{col 54}{space 4}-.0271686{col 67}{space 3} .0545825
{txt}c_tfull_hc~s {c |}{col 14}{res}{space 2}-.0518963{col 26}{space 2} .0189062{col 37}{space 1}   -2.74{col 46}{space 3}0.007{col 54}{space 4}-.0892397{col 67}{space 3} -.014553
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2}-.0239747{col 26}{space 2} .0418011{col 37}{space 1}   -0.57{col 46}{space 3}0.567{col 54}{space 4}-.1065397{col 67}{space 3} .0585903
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2} .0031847{col 26}{space 2} .0123702{col 37}{space 1}    0.26{col 46}{space 3}0.797{col 54}{space 4}-.0212488{col 67}{space 3} .0276182
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2} .0055043{col 26}{space 2} .0281968{col 37}{space 1}    0.20{col 46}{space 3}0.845{col 54}{space 4}-.0501897{col 67}{space 3} .0611983
{txt}c_treatful.. {c |}{col 14}{res}{space 2} .0038185{col 26}{space 2} .0255889{col 37}{space 1}    0.15{col 46}{space 3}0.882{col 54}{space 4}-.0467243{col 67}{space 3} .0543613
{txt}c_treatful.. {c |}{col 14}{res}{space 2}  -.01654{col 26}{space 2} .0244218{col 37}{space 1}   -0.68{col 46}{space 3}0.499{col 54}{space 4}-.0647777{col 67}{space 3} .0316977
{txt}c_treatful.. {c |}{col 14}{res}{space 2}-.0366283{col 26}{space 2} .0156066{col 37}{space 1}   -2.35{col 46}{space 3}0.020{col 54}{space 4}-.0674543{col 67}{space 3}-.0058024
{txt}c_treatful.. {c |}{col 14}{res}{space 2}-.1135037{col 26}{space 2} .1003167{col 37}{space 1}   -1.13{col 46}{space 3}0.260{col 54}{space 4}-.3116481{col 67}{space 3} .0846407
{txt}c_treatful.. {c |}{col 14}{res}{space 2} .0004195{col 26}{space 2} .0131312{col 37}{space 1}    0.03{col 46}{space 3}0.975{col 54}{space 4}-.0255171{col 67}{space 3}  .026356
{txt}c_treatful.. {c |}{col 14}{res}{space 2}-.0225056{col 26}{space 2} .0326613{col 37}{space 1}   -0.69{col 46}{space 3}0.492{col 54}{space 4}-.0870179{col 67}{space 3} .0420068
{txt}_Idistrict_2 {c |}{col 14}{res}{space 2}-.0477469{col 26}{space 2} .0207499{col 37}{space 1}   -2.30{col 46}{space 3}0.023{col 54}{space 4}-.0887318{col 67}{space 3} -.006762
{txt}_Idistrict_3 {c |}{col 14}{res}{space 2}-.0088572{col 26}{space 2} .0203869{col 37}{space 1}   -0.43{col 46}{space 3}0.665{col 54}{space 4}-.0491253{col 67}{space 3} .0314108
{txt}_Idistrict_4 {c |}{col 14}{res}{space 2}-.0601037{col 26}{space 2} .0217299{col 37}{space 1}   -2.77{col 46}{space 3}0.006{col 54}{space 4}-.1030243{col 67}{space 3}-.0171832
{txt}_Idistrict_5 {c |}{col 14}{res}{space 2} .0169228{col 26}{space 2} .0337933{col 37}{space 1}    0.50{col 46}{space 3}0.617{col 54}{space 4}-.0498253{col 67}{space 3} .0836709
{txt}_Idistrict_6 {c |}{col 14}{res}{space 2}-.0438272{col 26}{space 2} .0249229{col 37}{space 1}   -1.76{col 46}{space 3}0.081{col 54}{space 4}-.0930547{col 67}{space 3} .0054003
{txt}_Idistrict_7 {c |}{col 14}{res}{space 2}-.0262281{col 26}{space 2} .0320371{col 37}{space 1}   -0.82{col 46}{space 3}0.414{col 54}{space 4}-.0895073{col 67}{space 3} .0370512
{txt}_Idistrict_8 {c |}{col 14}{res}{space 2}-.0186269{col 26}{space 2} .0395461{col 37}{space 1}   -0.47{col 46}{space 3}0.638{col 54}{space 4} -.096738{col 67}{space 3} .0594841
{txt}_Idistrict_9 {c |}{col 14}{res}{space 2}-.1069605{col 26}{space 2} .0221021{col 37}{space 1}   -4.84{col 46}{space 3}0.000{col 54}{space 4}-.1506163{col 67}{space 3}-.0633047
{txt}_Idistric~10 {c |}{col 14}{res}{space 2}-.0903979{col 26}{space 2}  .023123{col 37}{space 1}   -3.91{col 46}{space 3}0.000{col 54}{space 4}-.1360702{col 67}{space 3}-.0447257
{txt}_Idistric~11 {c |}{col 14}{res}{space 2}-.1248546{col 26}{space 2} .0167139{col 37}{space 1}   -7.47{col 46}{space 3}0.000{col 54}{space 4}-.1578678{col 67}{space 3}-.0918414
{txt}_Idistric~12 {c |}{col 14}{res}{space 2} -.005851{col 26}{space 2} .0234723{col 37}{space 1}   -0.25{col 46}{space 3}0.803{col 54}{space 4}-.0522132{col 67}{space 3} .0405112
{txt}_Idistric~13 {c |}{col 14}{res}{space 2}-.0054045{col 26}{space 2} .0259695{col 37}{space 1}   -0.21{col 46}{space 3}0.835{col 54}{space 4}-.0566991{col 67}{space 3} .0458902
{txt}_Idistric~14 {c |}{col 14}{res}{space 2}-.1203763{col 26}{space 2} .0249133{col 37}{space 1}   -4.83{col 46}{space 3}0.000{col 54}{space 4}-.1695848{col 67}{space 3}-.0711678
{txt}_Idistric~15 {c |}{col 14}{res}{space 2}-.0576779{col 26}{space 2} .0236074{col 37}{space 1}   -2.44{col 46}{space 3}0.016{col 54}{space 4} -.104307{col 67}{space 3}-.0110488
{txt}_Idistric~16 {c |}{col 14}{res}{space 2}-.1422367{col 26}{space 2} .0224134{col 37}{space 1}   -6.35{col 46}{space 3}0.000{col 54}{space 4}-.1865073{col 67}{space 3}-.0979661
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} .1876255{col 26}{space 2} .0191383{col 37}{space 1}    9.80{col 46}{space 3}0.000{col 54}{space 4} .1498237{col 67}{space 3} .2254272
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}
{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}       187
{txt}{col 49}F({res}  14{txt},{res}    157{txt}){col 67}= {res}      1.24
{txt}{col 49}Prob > F{col 67}= {res}    0.2484
{txt}{col 49}R-squared{col 67}= {res}    0.1524
{txt}{col 49}Adj R-squared{col 67}= {res}   -0.0042
{txt}{col 49}Root MSE{col 67}= {res}    0.6902

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}e_h_ctzpre~z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2}-.1398381{col 26}{space 2} .1016938{col 37}{space 1}   -1.38{col 46}{space 3}0.171{col 54}{space 4}-.3407026{col 67}{space 3} .0610265
{txt}b_h_ctzpre~z {c |}{col 14}{res}{space 2} .0076511{col 26}{space 2} .0690759{col 37}{space 1}    0.11{col 46}{space 3}0.912{col 54}{space 4}-.1287869{col 67}{space 3} .1440891
{txt}c_tf~_hc_hc2 {c |}{col 14}{res}{space 2}-.0858617{col 26}{space 2} .1520159{col 37}{space 1}   -0.56{col 46}{space 3}0.573{col 54}{space 4}-.3861219{col 67}{space 3} .2143985
{txt}c_tfull_hc~l {c |}{col 14}{res}{space 2} .0656689{col 26}{space 2}  .195336{col 37}{space 1}    0.34{col 46}{space 3}0.737{col 54}{space 4}-.3201566{col 67}{space 3} .4514944
{txt}c_tfull_hc~s {c |}{col 14}{res}{space 2} .6333753{col 26}{space 2} .2576883{col 37}{space 1}    2.46{col 46}{space 3}0.015{col 54}{space 4} .1243921{col 67}{space 3} 1.142359
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2}-.6222355{col 26}{space 2} .5768423{col 37}{space 1}   -1.08{col 46}{space 3}0.282{col 54}{space 4}-1.761608{col 67}{space 3} .5171372
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2}-.0480568{col 26}{space 2}  .084333{col 37}{space 1}   -0.57{col 46}{space 3}0.570{col 54}{space 4}-.2146304{col 67}{space 3} .1185168
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2}-.1589857{col 26}{space 2} .2356689{col 37}{space 1}   -0.67{col 46}{space 3}0.501{col 54}{space 4}-.6244763{col 67}{space 3} .3065049
{txt}c_treatful.. {c |}{col 14}{res}{space 2} .0552366{col 26}{space 2} .2415604{col 37}{space 1}    0.23{col 46}{space 3}0.819{col 54}{space 4}-.4218909{col 67}{space 3}  .532364
{txt}c_treatful.. {c |}{col 14}{res}{space 2}-.1737508{col 26}{space 2} .2468112{col 37}{space 1}   -0.70{col 46}{space 3}0.482{col 54}{space 4}-.6612497{col 67}{space 3} .3137481
{txt}c_treatful.. {c |}{col 14}{res}{space 2}-.5837434{col 26}{space 2} .2777031{col 37}{space 1}   -2.10{col 46}{space 3}0.037{col 54}{space 4} -1.13226{col 67}{space 3}-.0352272
{txt}c_treatful.. {c |}{col 14}{res}{space 2} .9261883{col 26}{space 2} 1.020651{col 37}{space 1}    0.91{col 46}{space 3}0.366{col 54}{space 4}-1.089791{col 67}{space 3} 2.942167
{txt}c_treatful.. {c |}{col 14}{res}{space 2} .1509128{col 26}{space 2} .1198398{col 37}{space 1}    1.26{col 46}{space 3}0.210{col 54}{space 4}-.0857935{col 67}{space 3} .3876192
{txt}c_treatful.. {c |}{col 14}{res}{space 2}-.0460213{col 26}{space 2} .2763784{col 37}{space 1}   -0.17{col 46}{space 3}0.868{col 54}{space 4}-.5919209{col 67}{space 3} .4998783
{txt}{space 7}_cons {c |}{col 14}{res}{space 2}  .014802{col 26}{space 2} .0641678{col 37}{space 1}    0.23{col 46}{space 3}0.818{col 54}{space 4}-.1119416{col 67}{space 3} .1415456
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)
i.district{col 19}_Idistrict_1-16{col 39}(naturally coded; _Idistrict_1 omitted)
{res}
{txt}.1 Quantile regression
R-squared = {res}.08787596
{txt}Number of obs = {res}187
{txt}Objective function = {res}.11025468

{txt}Standard errors adjusted for {res}187{txt} clusters in hc_id
{res}{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}e_h_ctzpre~z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2}-.4054067{col 26}{space 2} .2837074{col 37}{space 1}   -1.43{col 46}{space 3}0.155{col 54}{space 4}-.9657824{col 67}{space 3}  .154969
{txt}b_h_ctzpre~z {c |}{col 14}{res}{space 2}-.0348272{col 26}{space 2} .1493497{col 37}{space 1}   -0.23{col 46}{space 3}0.816{col 54}{space 4}-.3298212{col 67}{space 3} .2601667
{txt}c_tf~_hc_hc2 {c |}{col 14}{res}{space 2}  .046694{col 26}{space 2} .3377502{col 37}{space 1}    0.14{col 46}{space 3}0.890{col 54}{space 4}-.6204266{col 67}{space 3} .7138147
{txt}c_tfull_hc~l {c |}{col 14}{res}{space 2} .1269716{col 26}{space 2} .4691328{col 37}{space 1}    0.27{col 46}{space 3}0.787{col 54}{space 4}-.7996544{col 67}{space 3} 1.053598
{txt}c_tfull_hc~s {c |}{col 14}{res}{space 2} 1.159421{col 26}{space 2} .5072892{col 37}{space 1}    2.29{col 46}{space 3}0.024{col 54}{space 4} .1574288{col 67}{space 3} 2.161413
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2}-1.888804{col 26}{space 2} 1.184137{col 37}{space 1}   -1.60{col 46}{space 3}0.113{col 54}{space 4}-4.227699{col 67}{space 3} .4500898
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2}-.1434221{col 26}{space 2} .1241687{col 37}{space 1}   -1.16{col 46}{space 3}0.250{col 54}{space 4}-.3886788{col 67}{space 3} .1018345
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2}-.9097193{col 26}{space 2} .6070296{col 37}{space 1}   -1.50{col 46}{space 3}0.136{col 54}{space 4}-2.108718{col 67}{space 3} .2892789
{txt}c_treatful.. {c |}{col 14}{res}{space 2} .8305372{col 26}{space 2}  .960151{col 37}{space 1}    0.87{col 46}{space 3}0.388{col 54}{space 4}-1.065943{col 67}{space 3} 2.727017
{txt}c_treatful.. {c |}{col 14}{res}{space 2}-.0253748{col 26}{space 2} .8156365{col 37}{space 1}   -0.03{col 46}{space 3}0.975{col 54}{space 4}-1.636411{col 67}{space 3} 1.585661
{txt}c_treatful.. {c |}{col 14}{res}{space 2}-.4608229{col 26}{space 2} .9812094{col 37}{space 1}   -0.47{col 46}{space 3}0.639{col 54}{space 4}-2.398897{col 67}{space 3} 1.477251
{txt}c_treatful.. {c |}{col 14}{res}{space 2} 3.097386{col 26}{space 2} 2.112014{col 37}{space 1}    1.47{col 46}{space 3}0.144{col 54}{space 4}-1.074242{col 67}{space 3} 7.269014
{txt}c_treatful.. {c |}{col 14}{res}{space 2} .3979739{col 26}{space 2} .4112581{col 37}{space 1}    0.97{col 46}{space 3}0.335{col 54}{space 4}-.4143386{col 67}{space 3} 1.210286
{txt}c_treatful.. {c |}{col 14}{res}{space 2} .3947698{col 26}{space 2} .8738494{col 37}{space 1}    0.45{col 46}{space 3}0.652{col 54}{space 4}-1.331248{col 67}{space 3} 2.120788
{txt}_Idistrict_2 {c |}{col 14}{res}{space 2} .0822462{col 26}{space 2} .5647347{col 37}{space 1}    0.15{col 46}{space 3}0.884{col 54}{space 4}-1.033212{col 67}{space 3} 1.197704
{txt}_Idistrict_3 {c |}{col 14}{res}{space 2}-.6083656{col 26}{space 2} .5719936{col 37}{space 1}   -1.06{col 46}{space 3}0.289{col 54}{space 4}-1.738161{col 67}{space 3}   .52143
{txt}_Idistrict_4 {c |}{col 14}{res}{space 2}-1.203916{col 26}{space 2} .8128875{col 37}{space 1}   -1.48{col 46}{space 3}0.141{col 54}{space 4}-2.809523{col 67}{space 3} .4016901
{txt}_Idistrict_5 {c |}{col 14}{res}{space 2}-.5210052{col 26}{space 2} .7894522{col 37}{space 1}   -0.66{col 46}{space 3}0.510{col 54}{space 4}-2.080323{col 67}{space 3} 1.038312
{txt}_Idistrict_6 {c |}{col 14}{res}{space 2}-1.895626{col 26}{space 2} 1.106824{col 37}{space 1}   -1.71{col 46}{space 3}0.089{col 54}{space 4}-4.081812{col 67}{space 3}  .290561
{txt}_Idistrict_7 {c |}{col 14}{res}{space 2}-.6248154{col 26}{space 2} .7684012{col 37}{space 1}   -0.81{col 46}{space 3}0.417{col 54}{space 4}-2.142553{col 67}{space 3} .8929224
{txt}_Idistrict_8 {c |}{col 14}{res}{space 2} .0399286{col 26}{space 2} .7260562{col 37}{space 1}    0.05{col 46}{space 3}0.956{col 54}{space 4} -1.39417{col 67}{space 3} 1.474027
{txt}_Idistrict_9 {c |}{col 14}{res}{space 2}-.6823537{col 26}{space 2} .9179074{col 37}{space 1}   -0.74{col 46}{space 3}0.458{col 54}{space 4}-2.495394{col 67}{space 3} 1.130687
{txt}_Idistric~10 {c |}{col 14}{res}{space 2}-.1309462{col 26}{space 2} 1.158138{col 37}{space 1}   -0.11{col 46}{space 3}0.910{col 54}{space 4}-2.418488{col 67}{space 3} 2.156595
{txt}_Idistric~11 {c |}{col 14}{res}{space 2} .0767811{col 26}{space 2} .9367871{col 37}{space 1}    0.08{col 46}{space 3}0.935{col 54}{space 4}-1.773551{col 67}{space 3} 1.927113
{txt}_Idistric~12 {c |}{col 14}{res}{space 2} .7824925{col 26}{space 2} .7290037{col 37}{space 1}    1.07{col 46}{space 3}0.285{col 54}{space 4}-.6574277{col 67}{space 3} 2.222413
{txt}_Idistric~13 {c |}{col 14}{res}{space 2}-.3489049{col 26}{space 2} .6814607{col 37}{space 1}   -0.51{col 46}{space 3}0.609{col 54}{space 4}-1.694919{col 67}{space 3}  .997109
{txt}_Idistric~14 {c |}{col 14}{res}{space 2} 1.018043{col 26}{space 2} .6422994{col 37}{space 1}    1.58{col 46}{space 3}0.115{col 54}{space 4}-.2506197{col 67}{space 3} 2.286706
{txt}_Idistric~15 {c |}{col 14}{res}{space 2} .9443031{col 26}{space 2} .6217493{col 37}{space 1}    1.52{col 46}{space 3}0.131{col 54}{space 4}-.2837695{col 67}{space 3} 2.172376
{txt}_Idistric~16 {c |}{col 14}{res}{space 2} 1.398439{col 26}{space 2} .6196192{col 37}{space 1}    2.26{col 46}{space 3}0.025{col 54}{space 4} .1745741{col 67}{space 3} 2.622304
{txt}{space 7}_cons {c |}{col 14}{res}{space 2}-.5708947{col 26}{space 2} .5097629{col 37}{space 1}   -1.12{col 46}{space 3}0.264{col 54}{space 4}-1.577773{col 67}{space 3} .4359834
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
i.district{col 19}_Idistrict_1-16{col 39}(naturally coded; _Idistrict_1 omitted)
{res}
{txt}.2 Quantile regression
R-squared = {res}.11384481
{txt}Number of obs = {res}187
{txt}Objective function = {res}.17325012

{txt}Standard errors adjusted for {res}187{txt} clusters in hc_id
{res}{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}e_h_ctzpre~z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2}-.4268163{col 26}{space 2} .1795904{col 37}{space 1}   -2.38{col 46}{space 3}0.019{col 54}{space 4}-.7815412{col 67}{space 3}-.0720913
{txt}b_h_ctzpre~z {c |}{col 14}{res}{space 2}-.0040509{col 26}{space 2} .0819279{col 37}{space 1}   -0.05{col 46}{space 3}0.961{col 54}{space 4}-.1658739{col 67}{space 3} .1577722
{txt}c_tf~_hc_hc2 {c |}{col 14}{res}{space 2}-.0908781{col 26}{space 2} .2021094{col 37}{space 1}   -0.45{col 46}{space 3}0.654{col 54}{space 4}-.4900823{col 67}{space 3} .3083262
{txt}c_tfull_hc~l {c |}{col 14}{res}{space 2} .0392266{col 26}{space 2} .3472749{col 37}{space 1}    0.11{col 46}{space 3}0.910{col 54}{space 4}-.6467071{col 67}{space 3} .7251603
{txt}c_tfull_hc~s {c |}{col 14}{res}{space 2}  .949292{col 26}{space 2} .5152616{col 37}{space 1}    1.84{col 46}{space 3}0.067{col 54}{space 4}-.0684472{col 67}{space 3} 1.967031
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2}-.6276313{col 26}{space 2} .7612809{col 37}{space 1}   -0.82{col 46}{space 3}0.411{col 54}{space 4}-2.131305{col 67}{space 3} .8760425
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2}-.0673174{col 26}{space 2} .1117102{col 37}{space 1}   -0.60{col 46}{space 3}0.548{col 54}{space 4}-.2879661{col 67}{space 3} .1533313
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2}-.2183851{col 26}{space 2} .3723806{col 37}{space 1}   -0.59{col 46}{space 3}0.558{col 54}{space 4}-.9539072{col 67}{space 3}  .517137
{txt}c_treatful.. {c |}{col 14}{res}{space 2} .3410268{col 26}{space 2} .5440836{col 37}{space 1}    0.63{col 46}{space 3}0.532{col 54}{space 4}-.7336413{col 67}{space 3} 1.415695
{txt}c_treatful.. {c |}{col 14}{res}{space 2}-.1947946{col 26}{space 2} .4530002{col 37}{space 1}   -0.43{col 46}{space 3}0.668{col 54}{space 4}-1.089556{col 67}{space 3} .6999665
{txt}c_treatful.. {c |}{col 14}{res}{space 2}-.8814757{col 26}{space 2} .5011162{col 37}{space 1}   -1.76{col 46}{space 3}0.081{col 54}{space 4}-1.871275{col 67}{space 3} .1083235
{txt}c_treatful.. {c |}{col 14}{res}{space 2} 2.005288{col 26}{space 2} 1.580062{col 37}{space 1}    1.27{col 46}{space 3}0.206{col 54}{space 4}-1.115634{col 67}{space 3} 5.126209
{txt}c_treatful.. {c |}{col 14}{res}{space 2} .0642035{col 26}{space 2}  .201524{col 37}{space 1}    0.32{col 46}{space 3}0.750{col 54}{space 4}-.3338445{col 67}{space 3} .4622515
{txt}c_treatful.. {c |}{col 14}{res}{space 2} .5032064{col 26}{space 2} .4736073{col 37}{space 1}    1.06{col 46}{space 3}0.290{col 54}{space 4}-.4322575{col 67}{space 3}  1.43867
{txt}_Idistrict_2 {c |}{col 14}{res}{space 2} .0909113{col 26}{space 2} .4508004{col 37}{space 1}    0.20{col 46}{space 3}0.840{col 54}{space 4}-.7995049{col 67}{space 3} .9813274
{txt}_Idistrict_3 {c |}{col 14}{res}{space 2}-.2827852{col 26}{space 2} .5173705{col 37}{space 1}   -0.55{col 46}{space 3}0.585{col 54}{space 4} -1.30469{col 67}{space 3} .7391194
{txt}_Idistrict_4 {c |}{col 14}{res}{space 2}-.2954702{col 26}{space 2} .4524031{col 37}{space 1}   -0.65{col 46}{space 3}0.515{col 54}{space 4}-1.189052{col 67}{space 3} .5981115
{txt}_Idistrict_5 {c |}{col 14}{res}{space 2}-.0800581{col 26}{space 2} .4403948{col 37}{space 1}   -0.18{col 46}{space 3}0.856{col 54}{space 4} -.949921{col 67}{space 3} .7898049
{txt}_Idistrict_6 {c |}{col 14}{res}{space 2}-.3108274{col 26}{space 2} .4180528{col 37}{space 1}   -0.74{col 46}{space 3}0.458{col 54}{space 4}-1.136561{col 67}{space 3} .5149059
{txt}_Idistrict_7 {c |}{col 14}{res}{space 2}-.1131748{col 26}{space 2} .5089191{col 37}{space 1}   -0.22{col 46}{space 3}0.824{col 54}{space 4}-1.118386{col 67}{space 3} .8920368
{txt}_Idistrict_8 {c |}{col 14}{res}{space 2} .0605827{col 26}{space 2} .4889754{col 37}{space 1}    0.12{col 46}{space 3}0.902{col 54}{space 4}-.9052363{col 67}{space 3} 1.026402
{txt}_Idistrict_9 {c |}{col 14}{res}{space 2}-.8799682{col 26}{space 2} .6107477{col 37}{space 1}   -1.44{col 46}{space 3}0.152{col 54}{space 4} -2.08631{col 67}{space 3}  .326374
{txt}_Idistric~10 {c |}{col 14}{res}{space 2} .0761287{col 26}{space 2} .5575536{col 37}{space 1}    0.14{col 46}{space 3}0.892{col 54}{space 4}-1.025145{col 67}{space 3} 1.177403
{txt}_Idistric~11 {c |}{col 14}{res}{space 2} .0632453{col 26}{space 2} .4870281{col 37}{space 1}    0.13{col 46}{space 3}0.897{col 54}{space 4}-.8987274{col 67}{space 3} 1.025218
{txt}_Idistric~12 {c |}{col 14}{res}{space 2} .2207538{col 26}{space 2} .5310252{col 37}{space 1}    0.42{col 46}{space 3}0.678{col 54}{space 4}-.8281214{col 67}{space 3} 1.269629
{txt}_Idistric~13 {c |}{col 14}{res}{space 2}-.1406923{col 26}{space 2} .5080268{col 37}{space 1}   -0.28{col 46}{space 3}0.782{col 54}{space 4}-1.144141{col 67}{space 3} .8627567
{txt}_Idistric~14 {c |}{col 14}{res}{space 2} .3441499{col 26}{space 2} .6070913{col 37}{space 1}    0.57{col 46}{space 3}0.572{col 54}{space 4}-.8549704{col 67}{space 3}  1.54327
{txt}_Idistric~15 {c |}{col 14}{res}{space 2} .6988297{col 26}{space 2} .4845863{col 37}{space 1}    1.44{col 46}{space 3}0.151{col 54}{space 4}-.2583199{col 67}{space 3} 1.655979
{txt}_Idistric~16 {c |}{col 14}{res}{space 2} 1.007345{col 26}{space 2} .6130402{col 37}{space 1}    1.64{col 46}{space 3}0.102{col 54}{space 4}-.2035253{col 67}{space 3} 2.218216
{txt}{space 7}_cons {c |}{col 14}{res}{space 2}-.3162692{col 26}{space 2} .4047296{col 37}{space 1}   -0.78{col 46}{space 3}0.436{col 54}{space 4}-1.115687{col 67}{space 3} .4831484
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
i.district{col 19}_Idistrict_1-16{col 39}(naturally coded; _Idistrict_1 omitted)
{res}
{txt}.3 Quantile regression
R-squared = {res}.10619307
{txt}Number of obs = {res}187
{txt}Objective function = {res}.19966895

{txt}Standard errors adjusted for {res}187{txt} clusters in hc_id
{res}{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}e_h_ctzpre~z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2}-.1412421{col 26}{space 2} .1048584{col 37}{space 1}   -1.35{col 46}{space 3}0.180{col 54}{space 4}-.3483573{col 67}{space 3} .0658731
{txt}b_h_ctzpre~z {c |}{col 14}{res}{space 2}-.0359689{col 26}{space 2}  .055962{col 37}{space 1}   -0.64{col 46}{space 3}0.521{col 54}{space 4}-.1465044{col 67}{space 3} .0745667
{txt}c_tf~_hc_hc2 {c |}{col 14}{res}{space 2}-.0279438{col 26}{space 2} .0921631{col 37}{space 1}   -0.30{col 46}{space 3}0.762{col 54}{space 4}-.2099833{col 67}{space 3} .1540957
{txt}c_tfull_hc~l {c |}{col 14}{res}{space 2} .0747968{col 26}{space 2} .1569888{col 37}{space 1}    0.48{col 46}{space 3}0.634{col 54}{space 4}-.2352857{col 67}{space 3} .3848793
{txt}c_tfull_hc~s {c |}{col 14}{res}{space 2} .6095325{col 26}{space 2} .2599765{col 37}{space 1}    2.34{col 46}{space 3}0.020{col 54}{space 4} .0960297{col 67}{space 3} 1.123035
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2}-.1311359{col 26}{space 2}  .433863{col 37}{space 1}   -0.30{col 46}{space 3}0.763{col 54}{space 4}-.9880974{col 67}{space 3} .7258255
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2} .0297894{col 26}{space 2} .0603551{col 37}{space 1}    0.49{col 46}{space 3}0.622{col 54}{space 4}-.0894233{col 67}{space 3} .1490022
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2} -.205239{col 26}{space 2} .2396739{col 37}{space 1}   -0.86{col 46}{space 3}0.393{col 54}{space 4}-.6786402{col 67}{space 3} .2681622
{txt}c_treatful.. {c |}{col 14}{res}{space 2} .0560759{col 26}{space 2} .2303114{col 37}{space 1}    0.24{col 46}{space 3}0.808{col 54}{space 4}-.3988328{col 67}{space 3} .5109845
{txt}c_treatful.. {c |}{col 14}{res}{space 2}-.2081125{col 26}{space 2} .2533208{col 37}{space 1}   -0.82{col 46}{space 3}0.413{col 54}{space 4}-.7084691{col 67}{space 3} .2922441
{txt}c_treatful.. {c |}{col 14}{res}{space 2}-.4288493{col 26}{space 2} .2976009{col 37}{space 1}   -1.44{col 46}{space 3}0.152{col 54}{space 4}-1.016667{col 67}{space 3} .1589688
{txt}c_treatful.. {c |}{col 14}{res}{space 2} 2.002256{col 26}{space 2} 1.112975{col 37}{space 1}    1.80{col 46}{space 3}0.074{col 54}{space 4}-.1960802{col 67}{space 3} 4.200593
{txt}c_treatful.. {c |}{col 14}{res}{space 2} .1482712{col 26}{space 2} .1190946{col 37}{space 1}    1.24{col 46}{space 3}0.215{col 54}{space 4}-.0869632{col 67}{space 3} .3835056
{txt}c_treatful.. {c |}{col 14}{res}{space 2} .1236094{col 26}{space 2} .3028887{col 37}{space 1}    0.41{col 46}{space 3}0.684{col 54}{space 4}-.4746532{col 67}{space 3} .7218719
{txt}_Idistrict_2 {c |}{col 14}{res}{space 2}-.1319291{col 26}{space 2} .2050372{col 37}{space 1}   -0.64{col 46}{space 3}0.521{col 54}{space 4}-.5369164{col 67}{space 3} .2730581
{txt}_Idistrict_3 {c |}{col 14}{res}{space 2}-.1319245{col 26}{space 2} .2910898{col 37}{space 1}   -0.45{col 46}{space 3}0.651{col 54}{space 4}-.7068819{col 67}{space 3} .4430329
{txt}_Idistrict_4 {c |}{col 14}{res}{space 2}-.2284871{col 26}{space 2} .2892553{col 37}{space 1}   -0.79{col 46}{space 3}0.431{col 54}{space 4}-.7998211{col 67}{space 3} .3428468
{txt}_Idistrict_5 {c |}{col 14}{res}{space 2}  -.17302{col 26}{space 2} .2610229{col 37}{space 1}   -0.66{col 46}{space 3}0.508{col 54}{space 4}-.6885896{col 67}{space 3} .3425496
{txt}_Idistrict_6 {c |}{col 14}{res}{space 2}-.2385026{col 26}{space 2} .2698137{col 37}{space 1}   -0.88{col 46}{space 3}0.378{col 54}{space 4}-.7714357{col 67}{space 3} .2944305
{txt}_Idistrict_7 {c |}{col 14}{res}{space 2}-.1387354{col 26}{space 2} .2822571{col 37}{space 1}   -0.49{col 46}{space 3}0.624{col 54}{space 4}-.6962465{col 67}{space 3} .4187758
{txt}_Idistrict_8 {c |}{col 14}{res}{space 2} .0942772{col 26}{space 2} .2298657{col 37}{space 1}    0.41{col 46}{space 3}0.682{col 54}{space 4}-.3597511{col 67}{space 3} .5483054
{txt}_Idistrict_9 {c |}{col 14}{res}{space 2}-.9846447{col 26}{space 2} .3662485{col 37}{space 1}   -2.69{col 46}{space 3}0.008{col 54}{space 4}-1.708055{col 67}{space 3}-.2612346
{txt}_Idistric~10 {c |}{col 14}{res}{space 2}-.2631701{col 26}{space 2} .3054531{col 37}{space 1}   -0.86{col 46}{space 3}0.390{col 54}{space 4}-.8664978{col 67}{space 3} .3401577
{txt}_Idistric~11 {c |}{col 14}{res}{space 2} .0439471{col 26}{space 2} .1835135{col 37}{space 1}    0.24{col 46}{space 3}0.811{col 54}{space 4}-.3185267{col 67}{space 3}  .406421
{txt}_Idistric~12 {c |}{col 14}{res}{space 2} .0291679{col 26}{space 2} .2259218{col 37}{space 1}    0.13{col 46}{space 3}0.897{col 54}{space 4}-.4170703{col 67}{space 3} .4754061
{txt}_Idistric~13 {c |}{col 14}{res}{space 2}-.0603662{col 26}{space 2} .2088618{col 37}{space 1}   -0.29{col 46}{space 3}0.773{col 54}{space 4}-.4729078{col 67}{space 3} .3521754
{txt}_Idistric~14 {c |}{col 14}{res}{space 2}-.2292955{col 26}{space 2}  .234762{col 37}{space 1}   -0.98{col 46}{space 3}0.330{col 54}{space 4}-.6929949{col 67}{space 3} .2344038
{txt}_Idistric~15 {c |}{col 14}{res}{space 2} .6324836{col 26}{space 2} .2023184{col 37}{space 1}    3.13{col 46}{space 3}0.002{col 54}{space 4} .2328665{col 67}{space 3} 1.032101
{txt}_Idistric~16 {c |}{col 14}{res}{space 2} .6607875{col 26}{space 2} .3111995{col 37}{space 1}    2.12{col 46}{space 3}0.035{col 54}{space 4} .0461095{col 67}{space 3} 1.275465
{txt}{space 7}_cons {c |}{col 14}{res}{space 2}-.1138044{col 26}{space 2} .1548894{col 37}{space 1}   -0.73{col 46}{space 3}0.464{col 54}{space 4}-.4197402{col 67}{space 3} .1921314
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
i.district{col 19}_Idistrict_1-16{col 39}(naturally coded; _Idistrict_1 omitted)
{res}
{txt}.4 Quantile regression
R-squared = {res}.10439692
{txt}Number of obs = {res}187
{txt}Objective function = {res}.20798057

{txt}Standard errors adjusted for {res}187{txt} clusters in hc_id
{res}{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}e_h_ctzpre~z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2}-.0532759{col 26}{space 2} .0944816{col 37}{space 1}   -0.56{col 46}{space 3}0.574{col 54}{space 4}-.2398949{col 67}{space 3} .1333431
{txt}b_h_ctzpre~z {c |}{col 14}{res}{space 2}-.0123359{col 26}{space 2} .0543116{col 37}{space 1}   -0.23{col 46}{space 3}0.821{col 54}{space 4}-.1196115{col 67}{space 3} .0949397
{txt}c_tf~_hc_hc2 {c |}{col 14}{res}{space 2}-.0327055{col 26}{space 2} .1093403{col 37}{space 1}   -0.30{col 46}{space 3}0.765{col 54}{space 4}-.2486734{col 67}{space 3} .1832623
{txt}c_tfull_hc~l {c |}{col 14}{res}{space 2} .1790649{col 26}{space 2} .1422048{col 37}{space 1}    1.26{col 46}{space 3}0.210{col 54}{space 4}-.1018164{col 67}{space 3} .4599463
{txt}c_tfull_hc~s {c |}{col 14}{res}{space 2} .5002519{col 26}{space 2} .2661828{col 37}{space 1}    1.88{col 46}{space 3}0.062{col 54}{space 4}-.0255094{col 67}{space 3} 1.026013
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2} -.057025{col 26}{space 2} .3846596{col 37}{space 1}   -0.15{col 46}{space 3}0.882{col 54}{space 4}-.8168004{col 67}{space 3} .7027504
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2} .0214339{col 26}{space 2} .0650717{col 37}{space 1}    0.33{col 46}{space 3}0.742{col 54}{space 4}-.1070949{col 67}{space 3} .1499628
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2}-.1366363{col 26}{space 2} .1571117{col 37}{space 1}   -0.87{col 46}{space 3}0.386{col 54}{space 4}-.4469618{col 67}{space 3} .1736891
{txt}c_treatful.. {c |}{col 14}{res}{space 2} .0406043{col 26}{space 2}  .209587{col 37}{space 1}    0.19{col 46}{space 3}0.847{col 54}{space 4}-.3733696{col 67}{space 3} .4545782
{txt}c_treatful.. {c |}{col 14}{res}{space 2}-.1221608{col 26}{space 2} .2111225{col 37}{space 1}   -0.58{col 46}{space 3}0.564{col 54}{space 4}-.5391677{col 67}{space 3} .2948461
{txt}c_treatful.. {c |}{col 14}{res}{space 2}-.4531121{col 26}{space 2}  .282219{col 37}{space 1}   -1.61{col 46}{space 3}0.110{col 54}{space 4}-1.010548{col 67}{space 3} .1043237
{txt}c_treatful.. {c |}{col 14}{res}{space 2} 1.682444{col 26}{space 2} .8155616{col 37}{space 1}    2.06{col 46}{space 3}0.041{col 54}{space 4} .0715558{col 67}{space 3} 3.293333
{txt}c_treatful.. {c |}{col 14}{res}{space 2} .1303929{col 26}{space 2} .1159469{col 37}{space 1}    1.12{col 46}{space 3}0.262{col 54}{space 4}-.0986243{col 67}{space 3}   .35941
{txt}c_treatful.. {c |}{col 14}{res}{space 2}-.0538549{col 26}{space 2} .2926788{col 37}{space 1}   -0.18{col 46}{space 3}0.854{col 54}{space 4}-.6319509{col 67}{space 3} .5242411
{txt}_Idistrict_2 {c |}{col 14}{res}{space 2}-.1725723{col 26}{space 2} .1579553{col 37}{space 1}   -1.09{col 46}{space 3}0.276{col 54}{space 4}-.4845638{col 67}{space 3} .1394193
{txt}_Idistrict_3 {c |}{col 14}{res}{space 2} -.039744{col 26}{space 2} .3916893{col 37}{space 1}   -0.10{col 46}{space 3}0.919{col 54}{space 4}-.8134045{col 67}{space 3} .7339165
{txt}_Idistrict_4 {c |}{col 14}{res}{space 2}-.2647656{col 26}{space 2} .1764948{col 37}{space 1}   -1.50{col 46}{space 3}0.136{col 54}{space 4}-.6133763{col 67}{space 3} .0838451
{txt}_Idistrict_5 {c |}{col 14}{res}{space 2}-.2303952{col 26}{space 2} .1923097{col 37}{space 1}   -1.20{col 46}{space 3}0.233{col 54}{space 4}-.6102433{col 67}{space 3} .1494529
{txt}_Idistrict_6 {c |}{col 14}{res}{space 2} -.236802{col 26}{space 2} .2207948{col 37}{space 1}   -1.07{col 46}{space 3}0.285{col 54}{space 4}-.6729135{col 67}{space 3} .1993096
{txt}_Idistrict_7 {c |}{col 14}{res}{space 2}-.1876804{col 26}{space 2} .1918836{col 37}{space 1}   -0.98{col 46}{space 3}0.330{col 54}{space 4}-.5666867{col 67}{space 3}  .191326
{txt}_Idistrict_8 {c |}{col 14}{res}{space 2} .1041237{col 26}{space 2} .2120716{col 37}{space 1}    0.49{col 46}{space 3}0.624{col 54}{space 4}-.3147578{col 67}{space 3} .5230052
{txt}_Idistrict_9 {c |}{col 14}{res}{space 2} .0194998{col 26}{space 2} .4026622{col 37}{space 1}    0.05{col 46}{space 3}0.961{col 54}{space 4}-.7758342{col 67}{space 3} .8148337
{txt}_Idistric~10 {c |}{col 14}{res}{space 2}-.2039748{col 26}{space 2} .2129918{col 37}{space 1}   -0.96{col 46}{space 3}0.340{col 54}{space 4}-.6246739{col 67}{space 3} .2167243
{txt}_Idistric~11 {c |}{col 14}{res}{space 2} .0596248{col 26}{space 2} .1646424{col 37}{space 1}    0.36{col 46}{space 3}0.718{col 54}{space 4}-.2655751{col 67}{space 3} .3848248
{txt}_Idistric~12 {c |}{col 14}{res}{space 2}  .106751{col 26}{space 2} .2157294{col 37}{space 1}    0.49{col 46}{space 3}0.621{col 54}{space 4}-.3193553{col 67}{space 3} .5328573
{txt}_Idistric~13 {c |}{col 14}{res}{space 2} -.114979{col 26}{space 2} .2285294{col 37}{space 1}   -0.50{col 46}{space 3}0.616{col 54}{space 4}-.5663678{col 67}{space 3} .3364098
{txt}_Idistric~14 {c |}{col 14}{res}{space 2}-.1164825{col 26}{space 2} .2798122{col 37}{space 1}   -0.42{col 46}{space 3}0.678{col 54}{space 4}-.6691646{col 67}{space 3} .4361996
{txt}_Idistric~15 {c |}{col 14}{res}{space 2} .5222525{col 26}{space 2} .1571501{col 37}{space 1}    3.32{col 46}{space 3}0.001{col 54}{space 4} .2118514{col 67}{space 3} .8326536
{txt}_Idistric~16 {c |}{col 14}{res}{space 2} .5363132{col 26}{space 2} .2773591{col 37}{space 1}    1.93{col 46}{space 3}0.055{col 54}{space 4}-.0115235{col 67}{space 3}  1.08415
{txt}{space 7}_cons {c |}{col 14}{res}{space 2}-.0250667{col 26}{space 2} .1171965{col 37}{space 1}   -0.21{col 46}{space 3}0.831{col 54}{space 4}-.2565521{col 67}{space 3} .2064186
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
i.district{col 19}_Idistrict_1-16{col 39}(naturally coded; _Idistrict_1 omitted)
{res}
{txt}Median regression
R-squared = {res}.09134854
{txt}Number of obs = {res}187
{txt}Objective function = {res}.20534729

{txt}Standard errors adjusted for {res}187{txt} clusters in hc_id
{res}{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}e_h_ctzpre~z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2}-.0371445{col 26}{space 2} .1103312{col 37}{space 1}   -0.34{col 46}{space 3}0.737{col 54}{space 4}-.2550694{col 67}{space 3} .1807805
{txt}b_h_ctzpre~z {c |}{col 14}{res}{space 2}-.0061899{col 26}{space 2} .0582497{col 37}{space 1}   -0.11{col 46}{space 3}0.916{col 54}{space 4} -.121244{col 67}{space 3} .1088642
{txt}c_tf~_hc_hc2 {c |}{col 14}{res}{space 2}-.0565203{col 26}{space 2} .1251339{col 37}{space 1}   -0.45{col 46}{space 3}0.652{col 54}{space 4}-.3036833{col 67}{space 3} .1906428
{txt}c_tfull_hc~l {c |}{col 14}{res}{space 2} .2204659{col 26}{space 2} .1742236{col 37}{space 1}    1.27{col 46}{space 3}0.208{col 54}{space 4}-.1236587{col 67}{space 3} .5645906
{txt}c_tfull_hc~s {c |}{col 14}{res}{space 2} .4074738{col 26}{space 2} .2459176{col 37}{space 1}    1.66{col 46}{space 3}0.100{col 54}{space 4}-.0782601{col 67}{space 3} .8932077
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2}-.0662523{col 26}{space 2} .4880976{col 37}{space 1}   -0.14{col 46}{space 3}0.892{col 54}{space 4}-1.030337{col 67}{space 3} .8978328
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2} .0114102{col 26}{space 2} .0806375{col 37}{space 1}    0.14{col 46}{space 3}0.888{col 54}{space 4}-.1478642{col 67}{space 3} .1706845
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2}  -.10643{col 26}{space 2} .2129097{col 37}{space 1}   -0.50{col 46}{space 3}0.618{col 54}{space 4}-.5269669{col 67}{space 3} .3141069
{txt}c_treatful.. {c |}{col 14}{res}{space 2}-.0444163{col 26}{space 2} .2855013{col 37}{space 1}   -0.16{col 46}{space 3}0.877{col 54}{space 4}-.6083353{col 67}{space 3} .5195027
{txt}c_treatful.. {c |}{col 14}{res}{space 2}-.2814279{col 26}{space 2} .2631954{col 37}{space 1}   -1.07{col 46}{space 3}0.287{col 54}{space 4}-.8012886{col 67}{space 3} .2384329
{txt}c_treatful.. {c |}{col 14}{res}{space 2}-.3709665{col 26}{space 2}  .289576{col 37}{space 1}   -1.28{col 46}{space 3}0.202{col 54}{space 4}-.9429339{col 67}{space 3} .2010009
{txt}c_treatful.. {c |}{col 14}{res}{space 2} 1.675785{col 26}{space 2} .9606315{col 37}{space 1}    1.74{col 46}{space 3}0.083{col 54}{space 4}-.2216443{col 67}{space 3} 3.573214
{txt}c_treatful.. {c |}{col 14}{res}{space 2}  .177734{col 26}{space 2} .1398292{col 37}{space 1}    1.27{col 46}{space 3}0.206{col 54}{space 4}-.0984552{col 67}{space 3} .4539232
{txt}c_treatful.. {c |}{col 14}{res}{space 2}-.2941911{col 26}{space 2} .3003021{col 37}{space 1}   -0.98{col 46}{space 3}0.329{col 54}{space 4}-.8873445{col 67}{space 3} .2989624
{txt}_Idistrict_2 {c |}{col 14}{res}{space 2}-.1822681{col 26}{space 2} .2074794{col 37}{space 1}   -0.88{col 46}{space 3}0.381{col 54}{space 4}-.5920792{col 67}{space 3} .2275429
{txt}_Idistrict_3 {c |}{col 14}{res}{space 2} .0222149{col 26}{space 2} .3366474{col 37}{space 1}    0.07{col 46}{space 3}0.947{col 54}{space 4}-.6427274{col 67}{space 3} .6871571
{txt}_Idistrict_4 {c |}{col 14}{res}{space 2} -.211798{col 26}{space 2} .2271185{col 37}{space 1}   -0.93{col 46}{space 3}0.352{col 54}{space 4}   -.6604{col 67}{space 3} .2368039
{txt}_Idistrict_5 {c |}{col 14}{res}{space 2}-.2292681{col 26}{space 2} .2641298{col 37}{space 1}   -0.87{col 46}{space 3}0.387{col 54}{space 4}-.7509745{col 67}{space 3} .2924382
{txt}_Idistrict_6 {c |}{col 14}{res}{space 2}-.2640017{col 26}{space 2} .2267362{col 37}{space 1}   -1.16{col 46}{space 3}0.246{col 54}{space 4}-.7118485{col 67}{space 3} .1838451
{txt}_Idistrict_7 {c |}{col 14}{res}{space 2}-.1953556{col 26}{space 2} .2419624{col 37}{space 1}   -0.81{col 46}{space 3}0.421{col 54}{space 4}-.6732771{col 67}{space 3} .2825658
{txt}_Idistrict_8 {c |}{col 14}{res}{space 2} .4398053{col 26}{space 2} .4131492{col 37}{space 1}    1.06{col 46}{space 3}0.289{col 54}{space 4}-.3762425{col 67}{space 3} 1.255853
{txt}_Idistrict_9 {c |}{col 14}{res}{space 2}-.0364982{col 26}{space 2} .4967732{col 37}{space 1}   -0.07{col 46}{space 3}0.942{col 54}{space 4}-1.017719{col 67}{space 3} .9447229
{txt}_Idistric~10 {c |}{col 14}{res}{space 2}-.2495773{col 26}{space 2} .2689786{col 37}{space 1}   -0.93{col 46}{space 3}0.355{col 54}{space 4}-.7808609{col 67}{space 3} .2817064
{txt}_Idistric~11 {c |}{col 14}{res}{space 2} .0780353{col 26}{space 2} .1858953{col 37}{space 1}    0.42{col 46}{space 3}0.675{col 54}{space 4} -.289143{col 67}{space 3} .4452136
{txt}_Idistric~12 {c |}{col 14}{res}{space 2} .1981447{col 26}{space 2} .2696297{col 37}{space 1}    0.73{col 46}{space 3}0.464{col 54}{space 4} -.334425{col 67}{space 3} .7307144
{txt}_Idistric~13 {c |}{col 14}{res}{space 2} .0235029{col 26}{space 2} .2974367{col 37}{space 1}    0.08{col 46}{space 3}0.937{col 54}{space 4}-.5639907{col 67}{space 3} .6109966
{txt}_Idistric~14 {c |}{col 14}{res}{space 2}-.1565741{col 26}{space 2} .2340492{col 37}{space 1}   -0.67{col 46}{space 3}0.504{col 54}{space 4}-.6188655{col 67}{space 3} .3057174
{txt}_Idistric~15 {c |}{col 14}{res}{space 2} .4932501{col 26}{space 2} .1800313{col 37}{space 1}    2.74{col 46}{space 3}0.007{col 54}{space 4} .1376542{col 67}{space 3}  .848846
{txt}_Idistric~16 {c |}{col 14}{res}{space 2} .4651526{col 26}{space 2} .3189653{col 37}{space 1}    1.46{col 46}{space 3}0.147{col 54}{space 4}-.1648641{col 67}{space 3} 1.095169
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} .0004598{col 26}{space 2} .1369268{col 37}{space 1}    0.00{col 46}{space 3}0.997{col 54}{space 4}-.2699966{col 67}{space 3} .2709161
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
i.district{col 19}_Idistrict_1-16{col 39}(naturally coded; _Idistrict_1 omitted)
{res}
{txt}.6 Quantile regression
R-squared = {res}.06745598
{txt}Number of obs = {res}187
{txt}Objective function = {res}.19531908

{txt}Standard errors adjusted for {res}187{txt} clusters in hc_id
{res}{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}e_h_ctzpre~z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2}-.0062097{col 26}{space 2} .0971448{col 37}{space 1}   -0.06{col 46}{space 3}0.949{col 54}{space 4}-.1980891{col 67}{space 3} .1856697
{txt}b_h_ctzpre~z {c |}{col 14}{res}{space 2} .0284108{col 26}{space 2} .0572604{col 37}{space 1}    0.50{col 46}{space 3}0.620{col 54}{space 4}-.0846893{col 67}{space 3} .1415109
{txt}c_tf~_hc_hc2 {c |}{col 14}{res}{space 2}-.0589797{col 26}{space 2} .1217321{col 37}{space 1}   -0.48{col 46}{space 3}0.629{col 54}{space 4}-.2994236{col 67}{space 3} .1814643
{txt}c_tfull_hc~l {c |}{col 14}{res}{space 2} .1577418{col 26}{space 2}  .160393{col 37}{space 1}    0.98{col 46}{space 3}0.327{col 54}{space 4}-.1590648{col 67}{space 3} .4745483
{txt}c_tfull_hc~s {c |}{col 14}{res}{space 2} .3984052{col 26}{space 2} .2623302{col 37}{space 1}    1.52{col 46}{space 3}0.131{col 54}{space 4}-.1197465{col 67}{space 3} .9165569
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2} .1299851{col 26}{space 2} .4544259{col 37}{space 1}    0.29{col 46}{space 3}0.775{col 54}{space 4}-.7675921{col 67}{space 3} 1.027562
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2} .0097931{col 26}{space 2} .0979628{col 37}{space 1}    0.10{col 46}{space 3}0.920{col 54}{space 4} -.183702{col 67}{space 3} .2032882
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2} -.067387{col 26}{space 2} .2727448{col 37}{space 1}   -0.25{col 46}{space 3}0.805{col 54}{space 4}-.6061095{col 67}{space 3} .4713355
{txt}c_treatful.. {c |}{col 14}{res}{space 2}-.1774315{col 26}{space 2} .2834178{col 37}{space 1}   -0.63{col 46}{space 3}0.532{col 54}{space 4}-.7372353{col 67}{space 3} .3823723
{txt}c_treatful.. {c |}{col 14}{res}{space 2}-.1384665{col 26}{space 2} .2556096{col 37}{space 1}   -0.54{col 46}{space 3}0.589{col 54}{space 4}-.6433438{col 67}{space 3} .3664107
{txt}c_treatful.. {c |}{col 14}{res}{space 2}-.4575945{col 26}{space 2} .2987838{col 37}{space 1}   -1.53{col 46}{space 3}0.128{col 54}{space 4}-1.047749{col 67}{space 3}   .13256
{txt}c_treatful.. {c |}{col 14}{res}{space 2} 1.035242{col 26}{space 2} .8205702{col 37}{space 1}    1.26{col 46}{space 3}0.209{col 54}{space 4}-.5855394{col 67}{space 3} 2.656023
{txt}c_treatful.. {c |}{col 14}{res}{space 2} .1391737{col 26}{space 2} .1392174{col 37}{space 1}    1.00{col 46}{space 3}0.319{col 54}{space 4} -.135807{col 67}{space 3} .4141544
{txt}c_treatful.. {c |}{col 14}{res}{space 2}-.3846375{col 26}{space 2} .3186115{col 37}{space 1}   -1.21{col 46}{space 3}0.229{col 54}{space 4}-1.013956{col 67}{space 3} .2446805
{txt}_Idistrict_2 {c |}{col 14}{res}{space 2}-.2372869{col 26}{space 2} .2700143{col 37}{space 1}   -0.88{col 46}{space 3}0.381{col 54}{space 4}-.7706162{col 67}{space 3} .2960423
{txt}_Idistrict_3 {c |}{col 14}{res}{space 2}-.0288907{col 26}{space 2} .3531431{col 37}{space 1}   -0.08{col 46}{space 3}0.935{col 54}{space 4}-.7264151{col 67}{space 3} .6686337
{txt}_Idistrict_4 {c |}{col 14}{res}{space 2}-.2090032{col 26}{space 2} .2457791{col 37}{space 1}   -0.85{col 46}{space 3}0.396{col 54}{space 4}-.6944634{col 67}{space 3}  .276457
{txt}_Idistrict_5 {c |}{col 14}{res}{space 2}-.2446228{col 26}{space 2} .2857014{col 37}{space 1}   -0.86{col 46}{space 3}0.393{col 54}{space 4} -.808937{col 67}{space 3} .3196914
{txt}_Idistrict_6 {c |}{col 14}{res}{space 2}-.2613078{col 26}{space 2} .2810004{col 37}{space 1}   -0.93{col 46}{space 3}0.354{col 54}{space 4}-.8163368{col 67}{space 3} .2937212
{txt}_Idistrict_7 {c |}{col 14}{res}{space 2}-.1974191{col 26}{space 2} .2692689{col 37}{space 1}   -0.73{col 46}{space 3}0.465{col 54}{space 4} -.729276{col 67}{space 3} .3344378
{txt}_Idistrict_8 {c |}{col 14}{res}{space 2} .4666678{col 26}{space 2} .2256253{col 37}{space 1}    2.07{col 46}{space 3}0.040{col 54}{space 4} .0210151{col 67}{space 3} .9123206
{txt}_Idistrict_9 {c |}{col 14}{res}{space 2} -.239338{col 26}{space 2} .4888027{col 37}{space 1}   -0.49{col 46}{space 3}0.625{col 54}{space 4}-1.204816{col 67}{space 3} .7261399
{txt}_Idistric~10 {c |}{col 14}{res}{space 2}-.3575552{col 26}{space 2} .2903209{col 37}{space 1}   -1.23{col 46}{space 3}0.220{col 54}{space 4} -.930994{col 67}{space 3} .2158836
{txt}_Idistric~11 {c |}{col 14}{res}{space 2} .0799301{col 26}{space 2} .1784452{col 37}{space 1}    0.45{col 46}{space 3}0.655{col 54}{space 4} -.272533{col 67}{space 3} .4323932
{txt}_Idistric~12 {c |}{col 14}{res}{space 2} .2978921{col 26}{space 2}  .328234{col 37}{space 1}    0.91{col 46}{space 3}0.366{col 54}{space 4}-.3504321{col 67}{space 3} .9462162
{txt}_Idistric~13 {c |}{col 14}{res}{space 2} .1661257{col 26}{space 2} .4068071{col 37}{space 1}    0.41{col 46}{space 3}0.684{col 54}{space 4}-.6373954{col 67}{space 3} .9696468
{txt}_Idistric~14 {c |}{col 14}{res}{space 2}-.1086849{col 26}{space 2}  .307572{col 37}{space 1}   -0.35{col 46}{space 3}0.724{col 54}{space 4}-.7161978{col 67}{space 3}  .498828
{txt}_Idistric~15 {c |}{col 14}{res}{space 2} .4436738{col 26}{space 2} .2131162{col 37}{space 1}    2.08{col 46}{space 3}0.039{col 54}{space 4} .0227291{col 67}{space 3} .8646186
{txt}_Idistric~16 {c |}{col 14}{res}{space 2} .3290592{col 26}{space 2} .3060472{col 37}{space 1}    1.08{col 46}{space 3}0.284{col 54}{space 4}-.2754418{col 67}{space 3} .9335603
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} .0637776{col 26}{space 2} .1636019{col 37}{space 1}    0.39{col 46}{space 3}0.697{col 54}{space 4}-.2593671{col 67}{space 3} .3869223
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
i.district{col 19}_Idistrict_1-16{col 39}(naturally coded; _Idistrict_1 omitted)
{res}
{txt}.7 Quantile regression
R-squared = {res}.04533962
{txt}Number of obs = {res}187
{txt}Objective function = {res}.17134606

{txt}Standard errors adjusted for {res}187{txt} clusters in hc_id
{res}{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}e_h_ctzpre~z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2}-.0559891{col 26}{space 2} .1967045{col 37}{space 1}   -0.28{col 46}{space 3}0.776{col 54}{space 4}-.4445177{col 67}{space 3} .3325395
{txt}b_h_ctzpre~z {c |}{col 14}{res}{space 2} .0946113{col 26}{space 2} .0764062{col 37}{space 1}    1.24{col 46}{space 3}0.217{col 54}{space 4}-.0563053{col 67}{space 3} .2455279
{txt}c_tf~_hc_hc2 {c |}{col 14}{res}{space 2}-.2388357{col 26}{space 2} .3747498{col 37}{space 1}   -0.64{col 46}{space 3}0.525{col 54}{space 4}-.9790375{col 67}{space 3} .5013661
{txt}c_tfull_hc~l {c |}{col 14}{res}{space 2}-.1146405{col 26}{space 2} .2502832{col 37}{space 1}   -0.46{col 46}{space 3}0.648{col 54}{space 4}-.6089971{col 67}{space 3} .3797161
{txt}c_tfull_hc~s {c |}{col 14}{res}{space 2} .3494539{col 26}{space 2}  .360164{col 37}{space 1}    0.97{col 46}{space 3}0.333{col 54}{space 4}-.3619381{col 67}{space 3} 1.060846
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2}-.5185862{col 26}{space 2} 1.927184{col 37}{space 1}   -0.27{col 46}{space 3}0.788{col 54}{space 4}-4.325139{col 67}{space 3} 3.287967
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2} .0145478{col 26}{space 2} .1363355{col 37}{space 1}    0.11{col 46}{space 3}0.915{col 54}{space 4}-.2547406{col 67}{space 3} .2838362
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2}-.1293679{col 26}{space 2} .4985814{col 37}{space 1}   -0.26{col 46}{space 3}0.796{col 54}{space 4}-1.114161{col 67}{space 3} .8554248
{txt}c_treatful.. {c |}{col 14}{res}{space 2}-.1994537{col 26}{space 2} .4271447{col 37}{space 1}   -0.47{col 46}{space 3}0.641{col 54}{space 4}-1.043145{col 67}{space 3} .6442378
{txt}c_treatful.. {c |}{col 14}{res}{space 2}-.0009123{col 26}{space 2} .4098571{col 37}{space 1}   -0.00{col 46}{space 3}0.998{col 54}{space 4}-.8104576{col 67}{space 3}  .808633
{txt}c_treatful.. {c |}{col 14}{res}{space 2} -.606994{col 26}{space 2} .4517996{col 37}{space 1}   -1.34{col 46}{space 3}0.181{col 54}{space 4}-1.499384{col 67}{space 3} .2853957
{txt}c_treatful.. {c |}{col 14}{res}{space 2}  1.24207{col 26}{space 2} 2.994047{col 37}{space 1}    0.41{col 46}{space 3}0.679{col 54}{space 4} -4.67174{col 67}{space 3} 7.155879
{txt}c_treatful.. {c |}{col 14}{res}{space 2} .1074252{col 26}{space 2} .1749426{col 37}{space 1}    0.61{col 46}{space 3}0.540{col 54}{space 4}-.2381196{col 67}{space 3}   .45297
{txt}c_treatful.. {c |}{col 14}{res}{space 2}-.1747192{col 26}{space 2} .3021025{col 37}{space 1}   -0.58{col 46}{space 3}0.564{col 54}{space 4}-.7714289{col 67}{space 3} .4219905
{txt}_Idistrict_2 {c |}{col 14}{res}{space 2}-.0384476{col 26}{space 2} .4585611{col 37}{space 1}   -0.08{col 46}{space 3}0.933{col 54}{space 4}-.9441925{col 67}{space 3} .8672973
{txt}_Idistrict_3 {c |}{col 14}{res}{space 2} .3018288{col 26}{space 2} .3118606{col 37}{space 1}    0.97{col 46}{space 3}0.335{col 54}{space 4}-.3141548{col 67}{space 3} .9178124
{txt}_Idistrict_4 {c |}{col 14}{res}{space 2} .1187686{col 26}{space 2}  .411786{col 37}{space 1}    0.29{col 46}{space 3}0.773{col 54}{space 4}-.6945866{col 67}{space 3} .9321238
{txt}_Idistrict_5 {c |}{col 14}{res}{space 2} .0673176{col 26}{space 2} .4056693{col 37}{space 1}    0.17{col 46}{space 3}0.868{col 54}{space 4}-.7339561{col 67}{space 3} .8685912
{txt}_Idistrict_6 {c |}{col 14}{res}{space 2}-.1208841{col 26}{space 2} .4906448{col 37}{space 1}   -0.25{col 46}{space 3}0.806{col 54}{space 4}-1.090001{col 67}{space 3} .8482323
{txt}_Idistrict_7 {c |}{col 14}{res}{space 2}  .246634{col 26}{space 2} .4563926{col 37}{space 1}    0.54{col 46}{space 3}0.590{col 54}{space 4}-.6548277{col 67}{space 3} 1.148096
{txt}_Idistrict_8 {c |}{col 14}{res}{space 2} .5294816{col 26}{space 2} .2718126{col 37}{space 1}    1.95{col 46}{space 3}0.053{col 54}{space 4}-.0073997{col 67}{space 3} 1.066363
{txt}_Idistrict_9 {c |}{col 14}{res}{space 2} .3084679{col 26}{space 2}  .379639{col 37}{space 1}    0.81{col 46}{space 3}0.418{col 54}{space 4}-.4413908{col 67}{space 3} 1.058327
{txt}_Idistric~10 {c |}{col 14}{res}{space 2} -.231125{col 26}{space 2} .4420405{col 37}{space 1}   -0.52{col 46}{space 3}0.602{col 54}{space 4}-1.104239{col 67}{space 3} .6419886
{txt}_Idistric~11 {c |}{col 14}{res}{space 2} .1450136{col 26}{space 2} .2812412{col 37}{space 1}    0.52{col 46}{space 3}0.607{col 54}{space 4}-.4104909{col 67}{space 3} .7005182
{txt}_Idistric~12 {c |}{col 14}{res}{space 2} .2560352{col 26}{space 2} .6062298{col 37}{space 1}    0.42{col 46}{space 3}0.673{col 54}{space 4}-.9413833{col 67}{space 3} 1.453454
{txt}_Idistric~13 {c |}{col 14}{res}{space 2} .3654506{col 26}{space 2} .3904346{col 37}{space 1}    0.94{col 46}{space 3}0.351{col 54}{space 4}-.4057317{col 67}{space 3} 1.136633
{txt}_Idistric~14 {c |}{col 14}{res}{space 2}  .414548{col 26}{space 2} .7051325{col 37}{space 1}    0.59{col 46}{space 3}0.557{col 54}{space 4} -.978222{col 67}{space 3} 1.807318
{txt}_Idistric~15 {c |}{col 14}{res}{space 2} .4438435{col 26}{space 2} .3968241{col 37}{space 1}    1.12{col 46}{space 3}0.265{col 54}{space 4}-.3399592{col 67}{space 3} 1.227646
{txt}_Idistric~16 {c |}{col 14}{res}{space 2} .1273117{col 26}{space 2} .3810907{col 37}{space 1}    0.33{col 46}{space 3}0.739{col 54}{space 4}-.6254145{col 67}{space 3} .8800379
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} .1215027{col 26}{space 2}   .23336{col 37}{space 1}    0.52{col 46}{space 3}0.603{col 54}{space 4}-.3394274{col 67}{space 3} .5824328
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
i.district{col 19}_Idistrict_1-16{col 39}(naturally coded; _Idistrict_1 omitted)
{res}
{txt}.8 Quantile regression
R-squared = {res}.04657484
{txt}Number of obs = {res}187
{txt}Objective function = {res}.12778932

{txt}Standard errors adjusted for {res}187{txt} clusters in hc_id
{res}{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}e_h_ctzpre~z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2}-.0270632{col 26}{space 2} .0954621{col 37}{space 1}   -0.28{col 46}{space 3}0.777{col 54}{space 4}-.2156189{col 67}{space 3} .1614926
{txt}b_h_ctzpre~z {c |}{col 14}{res}{space 2} .0754099{col 26}{space 2} .0624635{col 37}{space 1}    1.21{col 46}{space 3}0.229{col 54}{space 4}-.0479674{col 67}{space 3} .1987872
{txt}c_tf~_hc_hc2 {c |}{col 14}{res}{space 2}-.0199719{col 26}{space 2} .1508584{col 37}{space 1}   -0.13{col 46}{space 3}0.895{col 54}{space 4}-.3179457{col 67}{space 3} .2780019
{txt}c_tfull_hc~l {c |}{col 14}{res}{space 2} .0135887{col 26}{space 2} .1508887{col 37}{space 1}    0.09{col 46}{space 3}0.928{col 54}{space 4}-.2844449{col 67}{space 3} .3116224
{txt}c_tfull_hc~s {c |}{col 14}{res}{space 2} .5830325{col 26}{space 2} .2026079{col 37}{space 1}    2.88{col 46}{space 3}0.005{col 54}{space 4} .1828436{col 67}{space 3} .9832214
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2}-.3214777{col 26}{space 2} .7454478{col 37}{space 1}   -0.43{col 46}{space 3}0.667{col 54}{space 4}-1.793878{col 67}{space 3} 1.150923
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2} .0236296{col 26}{space 2} .0756513{col 37}{space 1}    0.31{col 46}{space 3}0.755{col 54}{space 4} -.125796{col 67}{space 3} .1730553
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2}-.0857046{col 26}{space 2}  .211997{col 37}{space 1}   -0.40{col 46}{space 3}0.687{col 54}{space 4}-.5044388{col 67}{space 3} .3330297
{txt}c_treatful.. {c |}{col 14}{res}{space 2}-.3102863{col 26}{space 2} .2277504{col 37}{space 1}   -1.36{col 46}{space 3}0.175{col 54}{space 4}-.7601365{col 67}{space 3} .1395638
{txt}c_treatful.. {c |}{col 14}{res}{space 2}-.1464248{col 26}{space 2} .2275688{col 37}{space 1}   -0.64{col 46}{space 3}0.521{col 54}{space 4}-.5959163{col 67}{space 3} .3030667
{txt}c_treatful.. {c |}{col 14}{res}{space 2}-.7060166{col 26}{space 2} .2978492{col 37}{space 1}   -2.37{col 46}{space 3}0.019{col 54}{space 4}-1.294325{col 67}{space 3} -.117708
{txt}c_treatful.. {c |}{col 14}{res}{space 2} .7661278{col 26}{space 2} 1.087975{col 37}{space 1}    0.70{col 46}{space 3}0.482{col 54}{space 4}-1.382829{col 67}{space 3} 2.915085
{txt}c_treatful.. {c |}{col 14}{res}{space 2} .0274755{col 26}{space 2} .1261239{col 37}{space 1}    0.22{col 46}{space 3}0.828{col 54}{space 4}-.2216431{col 67}{space 3} .2765942
{txt}c_treatful.. {c |}{col 14}{res}{space 2} .0511714{col 26}{space 2} .4151253{col 37}{space 1}    0.12{col 46}{space 3}0.902{col 54}{space 4}-.7687797{col 67}{space 3} .8711224
{txt}_Idistrict_2 {c |}{col 14}{res}{space 2} .6766934{col 26}{space 2} .3408779{col 37}{space 1}    1.99{col 46}{space 3}0.049{col 54}{space 4}  .003395{col 67}{space 3} 1.349992
{txt}_Idistrict_3 {c |}{col 14}{res}{space 2}  .438613{col 26}{space 2} .1966084{col 37}{space 1}    2.23{col 46}{space 3}0.027{col 54}{space 4} .0502742{col 67}{space 3} .8269517
{txt}_Idistrict_4 {c |}{col 14}{res}{space 2} .3454778{col 26}{space 2} .2390501{col 37}{space 1}    1.45{col 46}{space 3}0.150{col 54}{space 4}-.1266914{col 67}{space 3} .8176471
{txt}_Idistrict_5 {c |}{col 14}{res}{space 2} .4511399{col 26}{space 2} .3866673{col 37}{space 1}    1.17{col 46}{space 3}0.245{col 54}{space 4}-.3126012{col 67}{space 3} 1.214881
{txt}_Idistrict_6 {c |}{col 14}{res}{space 2} .4482506{col 26}{space 2}  .922883{col 37}{space 1}    0.49{col 46}{space 3}0.628{col 54}{space 4}-1.374618{col 67}{space 3} 2.271119
{txt}_Idistrict_7 {c |}{col 14}{res}{space 2} .4555238{col 26}{space 2} .2756725{col 37}{space 1}    1.65{col 46}{space 3}0.100{col 54}{space 4}-.0889816{col 67}{space 3} 1.000029
{txt}_Idistrict_8 {c |}{col 14}{res}{space 2} .5948674{col 26}{space 2} .2069637{col 37}{space 1}    2.87{col 46}{space 3}0.005{col 54}{space 4} .1860749{col 67}{space 3}  1.00366
{txt}_Idistrict_9 {c |}{col 14}{res}{space 2} .4280777{col 26}{space 2} .2866918{col 37}{space 1}    1.49{col 46}{space 3}0.137{col 54}{space 4}-.1381928{col 67}{space 3} .9943482
{txt}_Idistric~10 {c |}{col 14}{res}{space 2}-.3130292{col 26}{space 2} .3116338{col 37}{space 1}   -1.00{col 46}{space 3}0.317{col 54}{space 4} -.928565{col 67}{space 3} .3025066
{txt}_Idistric~11 {c |}{col 14}{res}{space 2} .4018778{col 26}{space 2} .2406856{col 37}{space 1}    1.67{col 46}{space 3}0.097{col 54}{space 4}-.0735218{col 67}{space 3} .8772774
{txt}_Idistric~12 {c |}{col 14}{res}{space 2} .4616575{col 26}{space 2} .2732658{col 37}{space 1}    1.69{col 46}{space 3}0.093{col 54}{space 4}-.0780941{col 67}{space 3} 1.001409
{txt}_Idistric~13 {c |}{col 14}{res}{space 2} .4934777{col 26}{space 2} .2182622{col 37}{space 1}    2.26{col 46}{space 3}0.025{col 54}{space 4} .0623686{col 67}{space 3} .9245869
{txt}_Idistric~14 {c |}{col 14}{res}{space 2} .5254556{col 26}{space 2} .5487017{col 37}{space 1}    0.96{col 46}{space 3}0.340{col 54}{space 4}-.5583341{col 67}{space 3} 1.609245
{txt}_Idistric~15 {c |}{col 14}{res}{space 2} .5211958{col 26}{space 2} .1885443{col 37}{space 1}    2.76{col 46}{space 3}0.006{col 54}{space 4} .1487851{col 67}{space 3} .8936065
{txt}_Idistric~16 {c |}{col 14}{res}{space 2} .4566982{col 26}{space 2} .2495612{col 37}{space 1}    1.83{col 46}{space 3}0.069{col 54}{space 4}-.0362323{col 67}{space 3} .9496288
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} .0540975{col 26}{space 2} .1602947{col 37}{space 1}    0.34{col 46}{space 3}0.736{col 54}{space 4}-.2625149{col 67}{space 3} .3707098
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
i.district{col 19}_Idistrict_1-16{col 39}(naturally coded; _Idistrict_1 omitted)
{res}
{txt}.9 Quantile regression
R-squared = {res}.01007079
{txt}Number of obs = {res}187
{txt}Objective function = {res}.06730023

{txt}Standard errors adjusted for {res}187{txt} clusters in hc_id
{res}{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}e_h_ctzpre~z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2} .1246986{col 26}{space 2} .1259039{col 37}{space 1}    0.99{col 46}{space 3}0.323{col 54}{space 4}-.1239854{col 67}{space 3} .3733825
{txt}b_h_ctzpre~z {c |}{col 14}{res}{space 2} 4.08e-17{col 26}{space 2} .0702779{col 37}{space 1}    0.00{col 46}{space 3}1.000{col 54}{space 4}-.1388122{col 67}{space 3} .1388122
{txt}c_tf~_hc_hc2 {c |}{col 14}{res}{space 2}-7.59e-17{col 26}{space 2} .1521292{col 37}{space 1}   -0.00{col 46}{space 3}1.000{col 54}{space 4} -.300484{col 67}{space 3}  .300484
{txt}c_tfull_hc~l {c |}{col 14}{res}{space 2}-6.31e-16{col 26}{space 2} .1238107{col 37}{space 1}   -0.00{col 46}{space 3}1.000{col 54}{space 4}-.2445495{col 67}{space 3} .2445495
{txt}c_tfull_hc~s {c |}{col 14}{res}{space 2} .6858421{col 26}{space 2} .1368938{col 37}{space 1}    5.01{col 46}{space 3}0.000{col 54}{space 4}  .415451{col 67}{space 3} .9562332
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2} 4.10e-16{col 26}{space 2} .5651527{col 37}{space 1}    0.00{col 46}{space 3}1.000{col 54}{space 4}-1.116283{col 67}{space 3} 1.116283
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2} 8.31e-17{col 26}{space 2} .0551997{col 37}{space 1}    0.00{col 46}{space 3}1.000{col 54}{space 4}-.1090299{col 67}{space 3} .1090299
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2}-2.28e-16{col 26}{space 2}  .139774{col 37}{space 1}   -0.00{col 46}{space 3}1.000{col 54}{space 4}  -.27608{col 67}{space 3}   .27608
{txt}c_treatful.. {c |}{col 14}{res}{space 2} 2.97e-17{col 26}{space 2} .3238333{col 37}{space 1}    0.00{col 46}{space 3}1.000{col 54}{space 4}-.6396321{col 67}{space 3} .6396321
{txt}c_treatful.. {c |}{col 14}{res}{space 2} 6.71e-16{col 26}{space 2} .2559784{col 37}{space 1}    0.00{col 46}{space 3}1.000{col 54}{space 4}-.5056058{col 67}{space 3} .5056058
{txt}c_treatful.. {c |}{col 14}{res}{space 2}-.6858421{col 26}{space 2}  .200241{col 37}{space 1}   -3.43{col 46}{space 3}0.001{col 54}{space 4}-1.081356{col 67}{space 3}-.2903282
{txt}c_treatful.. {c |}{col 14}{res}{space 2}-2.08e-16{col 26}{space 2} .9687974{col 37}{space 1}   -0.00{col 46}{space 3}1.000{col 54}{space 4}-1.913558{col 67}{space 3} 1.913558
{txt}c_treatful.. {c |}{col 14}{res}{space 2}-4.48e-17{col 26}{space 2} .0950864{col 37}{space 1}   -0.00{col 46}{space 3}1.000{col 54}{space 4}-.1878136{col 67}{space 3} .1878136
{txt}c_treatful.. {c |}{col 14}{res}{space 2} 9.66e-17{col 26}{space 2} .3075112{col 37}{space 1}    0.00{col 46}{space 3}1.000{col 54}{space 4}-.6073928{col 67}{space 3} .6073928
{txt}_Idistrict_2 {c |}{col 14}{res}{space 2}-1.85e-16{col 26}{space 2} .4227087{col 37}{space 1}   -0.00{col 46}{space 3}1.000{col 54}{space 4}-.8349296{col 67}{space 3} .8349296
{txt}_Idistrict_3 {c |}{col 14}{res}{space 2}-3.79e-16{col 26}{space 2} .3475545{col 37}{space 1}   -0.00{col 46}{space 3}1.000{col 54}{space 4}-.6864858{col 67}{space 3} .6864858
{txt}_Idistrict_4 {c |}{col 14}{res}{space 2}-2.42e-16{col 26}{space 2}  .357276{col 37}{space 1}   -0.00{col 46}{space 3}1.000{col 54}{space 4}-.7056876{col 67}{space 3} .7056876
{txt}_Idistrict_5 {c |}{col 14}{res}{space 2}-3.10e-16{col 26}{space 2} .3456874{col 37}{space 1}   -0.00{col 46}{space 3}1.000{col 54}{space 4}-.6827981{col 67}{space 3} .6827981
{txt}_Idistrict_6 {c |}{col 14}{res}{space 2} .6858421{col 26}{space 2} .5562304{col 37}{space 1}    1.23{col 46}{space 3}0.219{col 54}{space 4}-.4128182{col 67}{space 3} 1.784502
{txt}_Idistrict_7 {c |}{col 14}{res}{space 2}-2.39e-16{col 26}{space 2} .3424701{col 37}{space 1}   -0.00{col 46}{space 3}1.000{col 54}{space 4}-.6764431{col 67}{space 3} .6764431
{txt}_Idistrict_8 {c |}{col 14}{res}{space 2}-5.04e-16{col 26}{space 2} .3456457{col 37}{space 1}   -0.00{col 46}{space 3}1.000{col 54}{space 4}-.6827156{col 67}{space 3} .6827156
{txt}_Idistrict_9 {c |}{col 14}{res}{space 2}-2.66e-16{col 26}{space 2} .3934219{col 37}{space 1}   -0.00{col 46}{space 3}1.000{col 54}{space 4}-.7770827{col 67}{space 3} .7770827
{txt}_Idistric~10 {c |}{col 14}{res}{space 2}-2.89e-16{col 26}{space 2}  .437704{col 37}{space 1}   -0.00{col 46}{space 3}1.000{col 54}{space 4}-.8645483{col 67}{space 3} .8645483
{txt}_Idistric~11 {c |}{col 14}{res}{space 2}-2.10e-16{col 26}{space 2} .3491596{col 37}{space 1}   -0.00{col 46}{space 3}1.000{col 54}{space 4}-.6896563{col 67}{space 3} .6896563
{txt}_Idistric~12 {c |}{col 14}{res}{space 2}-1.69e-18{col 26}{space 2} .3668487{col 37}{space 1}   -0.00{col 46}{space 3}1.000{col 54}{space 4}-.7245956{col 67}{space 3} .7245956
{txt}_Idistric~13 {c |}{col 14}{res}{space 2} 1.20e-19{col 26}{space 2} .3674814{col 37}{space 1}    0.00{col 46}{space 3}1.000{col 54}{space 4}-.7258453{col 67}{space 3} .7258453
{txt}_Idistric~14 {c |}{col 14}{res}{space 2}-1.25e-16{col 26}{space 2} .4849855{col 37}{space 1}   -0.00{col 46}{space 3}1.000{col 54}{space 4}-.9579382{col 67}{space 3} .9579382
{txt}_Idistric~15 {c |}{col 14}{res}{space 2} 1.03e-16{col 26}{space 2} .3502106{col 37}{space 1}    0.00{col 46}{space 3}1.000{col 54}{space 4}-.6917322{col 67}{space 3} .6917322
{txt}_Idistric~16 {c |}{col 14}{res}{space 2} 2.68e-16{col 26}{space 2} .3706638{col 37}{space 1}    0.00{col 46}{space 3}1.000{col 54}{space 4}-.7321312{col 67}{space 3} .7321312
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} .5288366{col 26}{space 2} .3403486{col 37}{space 1}    1.55{col 46}{space 3}0.122{col 54}{space 4}-.1434164{col 67}{space 3}  1.20109
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}.         
.         coefplot (m1_1 \ m1_2 \ m1_3 \ m1_4 \ m1_5 \ m1_6 \ m1_7 \ m1_8 \ m1_9), keep(`var') yline(0, lcolor(gray)) yline(`est_healthout_z', lcolor(red)) vertical scheme(s1mono) mcolor(blue) mlcolor(blue) levels(95 90) ciopts(lcolor(blue blue) lwidth(medium thick)) grid(none) ytick(-.4 -.2 0 .2 .4) ylabel(-.4 -.2 0 .2 .4) aseq swapnames coeflabels(m1_1 = "0.1" m1_2 = "0.2" m1_3 = "0.3" m1_4 = "0.4" m1_5 = "0.5" m1_6 = "0.6" m1_7 = "0.7" m1_8 = "0.8" m1_9 = "0.9")   subtitle("Quantile regression: Child mortality") b1title("Quantile") l1title("Child mortality (0-5)") note("Displaying 95% and 90% confidence intervals")
{res}{txt}
{com}.         qui graph export "${c -(}Figures{c )-}/Figure7g_childmortality.png", replace
{txt}
{com}.         
.         coefplot (m2_1 \ m2_2 \ m2_3 \ m2_4 \ m2_5 \ m2_6 \ m2_7 \ m2_8 \ m2_9), keep(`var') yline(0, lcolor(gray)) yline(`est_h_ctzpressure_z', lcolor(red)) vertical scheme(s1mono) mcolor(blue) mlcolor(blue) levels(95 90) ciopts(lcolor(blue blue) lwidth(medium thick)) grid(none) ytick(-.8 -.6 -.4 -.2 0 .2 .4) ylabel(-.8 -.6 -.4 -.2 0 .2 .4) aseq swapnames coeflabels(m2_1 = "0.1" m2_2 = "0.2" m2_3 = "0.3" m2_4 = "0.4" m2_5 = "0.5" m2_6 = "0.6" m2_7 = "0.7" m2_8 = "0.8" m2_9 = "0.9")   subtitle("Quantile regression: Perceived citizen pressure index") b1title("Quantile") l1title("Perceived citizen pressure index") note("Displaying 95% and 90% confidence intervals")
{res}{txt}
{com}.         qui graph export "${c -(}Figures{c )-}/Figure7b_ctzpressure.png", replace
{txt}
{com}. 
.         
.         **********************
.         * Table Main outcome *
.         **********************
.         
.         *************************************
.         * Table/Figure Community monitoring *
.         *************************************
.         
.         * At endline
.         
.         eststo clear
{txt}
{com}.         
.         local y = 1
{txt}
{com}.         foreach x in `commmonitoring' {c -(}
{txt}  2{com}.                 areg  e_`x' `var' b_`x' b_`x'_d `e_controls_tfull' ``var'_int_e_controls', robust cl(hc_id) a(district)
{txt}  3{com}.                 
.                 local p_`y' = (2 * ttail(e(df_r), abs(_b[`var']/_se[`var'])))
{txt}  4{com}.                 
.                 estimates store m`y'
{txt}  5{com}.                 local y = `y' + 1
{txt}  6{com}.                 {c )-}
{txt}note: b_commtg_z_d omitted because of collinearity
{res}
{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}     7,288
{txt}{col 49}F({res}  14{txt},{res}    186{txt}){col 67}= {res}      7.74
{txt}{col 49}Prob > F{col 67}= {res}    0.0000
{txt}{col 49}R-squared{col 67}= {res}    0.0972
{txt}{col 49}Adj R-squared{col 67}= {res}    0.0936
{txt}{col 49}Root MSE{col 67}= {res}    0.5587

{txt}{ralign 78:(Std. Err. adjusted for {res:187} clusters in hc_id)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}  e_commtg_z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2}  .005716{col 26}{space 2} .0278794{col 37}{space 1}    0.21{col 46}{space 3}0.838{col 54}{space 4}-.0492844{col 67}{space 3} .0607164
{txt}{space 2}b_commtg_z {c |}{col 14}{res}{space 2}  .075351{col 26}{space 2} .0135371{col 37}{space 1}    5.57{col 46}{space 3}0.000{col 54}{space 4}  .048645{col 67}{space 3} .1020571
{txt}b_commtg_z_d {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 1}c_tfull_hc2 {c |}{col 14}{res}{space 2} .1127772{col 26}{space 2} .0469224{col 37}{space 1}    2.40{col 46}{space 3}0.017{col 54}{space 4} .0202086{col 67}{space 3} .2053457
{txt}c_tfull_b_~l {c |}{col 14}{res}{space 2}  .054842{col 26}{space 2}  .069432{col 37}{space 1}    0.79{col 46}{space 3}0.431{col 54}{space 4}-.0821334{col 67}{space 3} .1918175
{txt}c_tfull_b_~s {c |}{col 14}{res}{space 2}-.0064699{col 26}{space 2}  .081617{col 37}{space 1}   -0.08{col 46}{space 3}0.937{col 54}{space 4}-.1674839{col 67}{space 3} .1545442
{txt}c_tfull_b_~d {c |}{col 14}{res}{space 2} .0433235{col 26}{space 2} .0462249{col 37}{space 1}    0.94{col 46}{space 3}0.350{col 54}{space 4} -.047869{col 67}{space 3}  .134516
{txt}c_tfull_ed~r {c |}{col 14}{res}{space 2} .0041103{col 26}{space 2} .0024131{col 37}{space 1}    1.70{col 46}{space 3}0.090{col 54}{space 4}-.0006503{col 67}{space 3}  .008871
{txt}c_tfull_b_~x {c |}{col 14}{res}{space 2} .0282947{col 26}{space 2} .0112299{col 37}{space 1}    2.52{col 46}{space 3}0.013{col 54}{space 4} .0061404{col 67}{space 3} .0504491
{txt}c_trea~l_hc2 {c |}{col 14}{res}{space 2} .0164751{col 26}{space 2} .0599684{col 37}{space 1}    0.27{col 46}{space 3}0.784{col 54}{space 4}-.1018307{col 67}{space 3} .1347808
{txt}c_treatful.. {c |}{col 14}{res}{space 2} .0554279{col 26}{space 2} .0787416{col 37}{space 1}    0.70{col 46}{space 3}0.482{col 54}{space 4}-.0999135{col 67}{space 3} .2107694
{txt}c_treatful.. {c |}{col 14}{res}{space 2} .0250956{col 26}{space 2} .0840533{col 37}{space 1}    0.30{col 46}{space 3}0.766{col 54}{space 4}-.1407247{col 67}{space 3}  .190916
{txt}c_treatful.. {c |}{col 14}{res}{space 2} .0976623{col 26}{space 2} .0626955{col 37}{space 1}    1.56{col 46}{space 3}0.121{col 54}{space 4}-.0260233{col 67}{space 3}  .221348
{txt}c_treatful.. {c |}{col 14}{res}{space 2} .0007403{col 26}{space 2} .0034503{col 37}{space 1}    0.21{col 46}{space 3}0.830{col 54}{space 4}-.0060665{col 67}{space 3} .0075472
{txt}c_treatful.. {c |}{col 14}{res}{space 2}-.0015996{col 26}{space 2} .0174295{col 37}{space 1}   -0.09{col 46}{space 3}0.927{col 54}{space 4}-.0359845{col 67}{space 3} .0327853
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} .0034965{col 26}{space 2} .0191534{col 37}{space 1}    0.18{col 46}{space 3}0.855{col 54}{space 4}-.0342894{col 67}{space 3} .0412824
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}     7,288
{txt}{col 49}F({res}  15{txt},{res}    186{txt}){col 67}= {res}      4.46
{txt}{col 49}Prob > F{col 67}= {res}    0.0000
{txt}{col 49}R-squared{col 67}= {res}    0.1047
{txt}{col 49}Adj R-squared{col 67}= {res}    0.1010
{txt}{col 49}Root MSE{col 67}= {res}    0.9314

{txt}{ralign 78:(Std. Err. adjusted for {res:187} clusters in hc_id)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}e_lc1_me~s_z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2} .0493471{col 26}{space 2} .0522132{col 37}{space 1}    0.95{col 46}{space 3}0.346{col 54}{space 4}-.0536591{col 67}{space 3} .1523534
{txt}b_lc1_me~s_z {c |}{col 14}{res}{space 2} .0762054{col 26}{space 2} .0179866{col 37}{space 1}    4.24{col 46}{space 3}0.000{col 54}{space 4} .0407214{col 67}{space 3} .1116894
{txt}b_lc1_~s_z_d {c |}{col 14}{res}{space 2}-.0894715{col 26}{space 2} .0269386{col 37}{space 1}   -3.32{col 46}{space 3}0.001{col 54}{space 4}-.1426158{col 67}{space 3}-.0363271
{txt}{space 1}c_tfull_hc2 {c |}{col 14}{res}{space 2} .0323698{col 26}{space 2} .1006099{col 37}{space 1}    0.32{col 46}{space 3}0.748{col 54}{space 4}-.1661135{col 67}{space 3} .2308531
{txt}c_tfull_b_~l {c |}{col 14}{res}{space 2} .1034883{col 26}{space 2} .1329006{col 37}{space 1}    0.78{col 46}{space 3}0.437{col 54}{space 4}-.1586981{col 67}{space 3} .3656746
{txt}c_tfull_b_~s {c |}{col 14}{res}{space 2}-.1596002{col 26}{space 2} .1476211{col 37}{space 1}   -1.08{col 46}{space 3}0.281{col 54}{space 4}-.4508272{col 67}{space 3} .1316268
{txt}c_tfull_b_~d {c |}{col 14}{res}{space 2}-.1621027{col 26}{space 2} .1108065{col 37}{space 1}   -1.46{col 46}{space 3}0.145{col 54}{space 4}-.3807018{col 67}{space 3} .0564965
{txt}c_tfull_ed~r {c |}{col 14}{res}{space 2} .0091512{col 26}{space 2} .0042157{col 37}{space 1}    2.17{col 46}{space 3}0.031{col 54}{space 4} .0008344{col 67}{space 3} .0174681
{txt}c_tfull_b_~x {c |}{col 14}{res}{space 2} .0192933{col 26}{space 2} .0196057{col 37}{space 1}    0.98{col 46}{space 3}0.326{col 54}{space 4}-.0193848{col 67}{space 3} .0579713
{txt}c_trea~l_hc2 {c |}{col 14}{res}{space 2} .1260086{col 26}{space 2} .1155481{col 37}{space 1}    1.09{col 46}{space 3}0.277{col 54}{space 4}-.1019448{col 67}{space 3}  .353962
{txt}c_treatful.. {c |}{col 14}{res}{space 2} .1240588{col 26}{space 2} .1506813{col 37}{space 1}    0.82{col 46}{space 3}0.411{col 54}{space 4}-.1732054{col 67}{space 3} .4213229
{txt}c_treatful.. {c |}{col 14}{res}{space 2} .0678671{col 26}{space 2} .1600306{col 37}{space 1}    0.42{col 46}{space 3}0.672{col 54}{space 4}-.2478412{col 67}{space 3} .3835755
{txt}c_treatful.. {c |}{col 14}{res}{space 2} .1757619{col 26}{space 2} .1326163{col 37}{space 1}    1.33{col 46}{space 3}0.187{col 54}{space 4}-.0858635{col 67}{space 3} .4373873
{txt}c_treatful.. {c |}{col 14}{res}{space 2}-.0079542{col 26}{space 2} .0059448{col 37}{space 1}   -1.34{col 46}{space 3}0.183{col 54}{space 4}-.0196821{col 67}{space 3} .0037738
{txt}c_treatful.. {c |}{col 14}{res}{space 2} .0260473{col 26}{space 2} .0291887{col 37}{space 1}    0.89{col 46}{space 3}0.373{col 54}{space 4}-.0315361{col 67}{space 3} .0836307
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} .0440136{col 26}{space 2} .0413094{col 37}{space 1}    1.07{col 46}{space 3}0.288{col 54}{space 4}-.0374816{col 67}{space 3} .1255088
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}     7,288
{txt}{col 49}F({res}  15{txt},{res}    186{txt}){col 67}= {res}      4.54
{txt}{col 49}Prob > F{col 67}= {res}    0.0000
{txt}{col 49}R-squared{col 67}= {res}    0.0862
{txt}{col 49}Adj R-squared{col 67}= {res}    0.0825
{txt}{col 49}Root MSE{col 67}= {res}    0.9699

{txt}{ralign 78:(Std. Err. adjusted for {res:187} clusters in hc_id)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}e_lc1_me~c_z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2} .0321245{col 26}{space 2}  .070174{col 37}{space 1}    0.46{col 46}{space 3}0.648{col 54}{space 4}-.1063147{col 67}{space 3} .1705637
{txt}b_lc1_me~c_z {c |}{col 14}{res}{space 2} .1290156{col 26}{space 2} .0198841{col 37}{space 1}    6.49{col 46}{space 3}0.000{col 54}{space 4} .0897883{col 67}{space 3} .1682429
{txt}b_lc1_~c_z_d {c |}{col 14}{res}{space 2}-.0432387{col 26}{space 2} .0296537{col 37}{space 1}   -1.46{col 46}{space 3}0.146{col 54}{space 4}-.1017396{col 67}{space 3} .0152622
{txt}{space 1}c_tfull_hc2 {c |}{col 14}{res}{space 2} .1647979{col 26}{space 2} .1301643{col 37}{space 1}    1.27{col 46}{space 3}0.207{col 54}{space 4}-.0919902{col 67}{space 3}  .421586
{txt}c_tfull_b_~l {c |}{col 14}{res}{space 2} .0483422{col 26}{space 2}  .171512{col 37}{space 1}    0.28{col 46}{space 3}0.778{col 54}{space 4}-.2900167{col 67}{space 3} .3867011
{txt}c_tfull_b_~s {c |}{col 14}{res}{space 2} .2904686{col 26}{space 2} .2003502{col 37}{space 1}    1.45{col 46}{space 3}0.149{col 54}{space 4}-.1047824{col 67}{space 3} .6857196
{txt}c_tfull_b_~d {c |}{col 14}{res}{space 2}-.0546738{col 26}{space 2} .0924707{col 37}{space 1}   -0.59{col 46}{space 3}0.555{col 54}{space 4}   -.2371{col 67}{space 3} .1277525
{txt}c_tfull_ed~r {c |}{col 14}{res}{space 2}-.0000671{col 26}{space 2} .0042806{col 37}{space 1}   -0.02{col 46}{space 3}0.988{col 54}{space 4}-.0085118{col 67}{space 3} .0083776
{txt}c_tfull_b_~x {c |}{col 14}{res}{space 2} .0249678{col 26}{space 2} .0270065{col 37}{space 1}    0.92{col 46}{space 3}0.356{col 54}{space 4}-.0283107{col 67}{space 3} .0782462
{txt}c_trea~l_hc2 {c |}{col 14}{res}{space 2}-.0998687{col 26}{space 2} .1642401{col 37}{space 1}   -0.61{col 46}{space 3}0.544{col 54}{space 4}-.4238815{col 67}{space 3} .2241441
{txt}c_treatful.. {c |}{col 14}{res}{space 2} .1227934{col 26}{space 2} .1922911{col 37}{space 1}    0.64{col 46}{space 3}0.524{col 54}{space 4}-.2565585{col 67}{space 3} .5021454
{txt}c_treatful.. {c |}{col 14}{res}{space 2}-.1503831{col 26}{space 2} .2113801{col 37}{space 1}   -0.71{col 46}{space 3}0.478{col 54}{space 4}-.5673938{col 67}{space 3} .2666277
{txt}c_treatful.. {c |}{col 14}{res}{space 2}  .260759{col 26}{space 2} .1209242{col 37}{space 1}    2.16{col 46}{space 3}0.032{col 54}{space 4} .0221998{col 67}{space 3} .4993183
{txt}c_treatful.. {c |}{col 14}{res}{space 2} .0007242{col 26}{space 2}  .006424{col 37}{space 1}    0.11{col 46}{space 3}0.910{col 54}{space 4}-.0119491{col 67}{space 3} .0133974
{txt}c_treatful.. {c |}{col 14}{res}{space 2}-.0120881{col 26}{space 2} .0373049{col 37}{space 1}   -0.32{col 46}{space 3}0.746{col 54}{space 4}-.0856832{col 67}{space 3} .0615071
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} .0257588{col 26}{space 2} .0487596{col 37}{space 1}    0.53{col 46}{space 3}0.598{col 54}{space 4}-.0704341{col 67}{space 3} .1219517
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{com}. 
.         local y = 4
{txt}
{com}.         foreach x in `commmonitoring_nobaseline' {c -(}
{txt}  2{com}.                 areg  e_`x' `var' `e_controls_tfull' ``var'_int_e_controls', robust cl(hc_id) a(district)
{txt}  3{com}.                 
.                 local p_`y' = (2 * ttail(e(df_r), abs(_b[`var']/_se[`var'])))
{txt}  4{com}.                 
.                 estimates store m`y'
{txt}  5{com}.                 local y = `y' + 1
{txt}  6{com}.                 {c )-}

{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}     7,288
{txt}{col 49}F({res}  13{txt},{res}    186{txt}){col 67}= {res}      4.06
{txt}{col 49}Prob > F{col 67}= {res}    0.0000
{txt}{col 49}R-squared{col 67}= {res}    0.0353
{txt}{col 49}Adj R-squared{col 67}= {res}    0.0316
{txt}{col 49}Root MSE{col 67}= {res}    0.9810

{txt}{ralign 78:(Std. Err. adjusted for {res:187} clusters in hc_id)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}e_find_rep~z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2}-.0082895{col 26}{space 2} .0320546{col 37}{space 1}   -0.26{col 46}{space 3}0.796{col 54}{space 4}-.0715268{col 67}{space 3} .0549478
{txt}{space 1}c_tfull_hc2 {c |}{col 14}{res}{space 2} .1470752{col 26}{space 2} .0687545{col 37}{space 1}    2.14{col 46}{space 3}0.034{col 54}{space 4} .0114364{col 67}{space 3} .2827141
{txt}c_tfull_b_~l {c |}{col 14}{res}{space 2} .0434545{col 26}{space 2} .0809861{col 37}{space 1}    0.54{col 46}{space 3}0.592{col 54}{space 4}-.1163148{col 67}{space 3} .2032238
{txt}c_tfull_b_~s {c |}{col 14}{res}{space 2}-.1061407{col 26}{space 2} .0883715{col 37}{space 1}   -1.20{col 46}{space 3}0.231{col 54}{space 4}  -.28048{col 67}{space 3} .0681986
{txt}c_tfull_b_~d {c |}{col 14}{res}{space 2} .1358832{col 26}{space 2} .0653975{col 37}{space 1}    2.08{col 46}{space 3}0.039{col 54}{space 4} .0068671{col 67}{space 3} .2648994
{txt}c_tfull_ed~r {c |}{col 14}{res}{space 2} .0015423{col 26}{space 2} .0039918{col 37}{space 1}    0.39{col 46}{space 3}0.700{col 54}{space 4}-.0063328{col 67}{space 3} .0094173
{txt}c_tfull_b_~x {c |}{col 14}{res}{space 2} .0354318{col 26}{space 2} .0179419{col 37}{space 1}    1.97{col 46}{space 3}0.050{col 54}{space 4}  .000036{col 67}{space 3} .0708276
{txt}c_trea~l_hc2 {c |}{col 14}{res}{space 2} .0518597{col 26}{space 2} .0811584{col 37}{space 1}    0.64{col 46}{space 3}0.524{col 54}{space 4}-.1082496{col 67}{space 3} .2119689
{txt}c_treatful.. {c |}{col 14}{res}{space 2}-.0361099{col 26}{space 2} .0934381{col 37}{space 1}   -0.39{col 46}{space 3}0.700{col 54}{space 4}-.2204446{col 67}{space 3} .1482249
{txt}c_treatful.. {c |}{col 14}{res}{space 2} .1080863{col 26}{space 2} .0997361{col 37}{space 1}    1.08{col 46}{space 3}0.280{col 54}{space 4} -.088673{col 67}{space 3} .3048456
{txt}c_treatful.. {c |}{col 14}{res}{space 2} .0180432{col 26}{space 2} .0913878{col 37}{space 1}    0.20{col 46}{space 3}0.844{col 54}{space 4}-.1622467{col 67}{space 3}  .198333
{txt}c_treatful.. {c |}{col 14}{res}{space 2} .0105573{col 26}{space 2} .0059098{col 37}{space 1}    1.79{col 46}{space 3}0.076{col 54}{space 4}-.0011016{col 67}{space 3} .0222162
{txt}c_treatful.. {c |}{col 14}{res}{space 2}-.0040489{col 26}{space 2} .0268857{col 37}{space 1}   -0.15{col 46}{space 3}0.880{col 54}{space 4} -.057089{col 67}{space 3} .0489912
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} .0075636{col 26}{space 2} .0235585{col 37}{space 1}    0.32{col 46}{space 3}0.749{col 54}{space 4}-.0389125{col 67}{space 3} .0540397
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}     7,288
{txt}{col 49}F({res}  13{txt},{res}    186{txt}){col 67}= {res}      2.78
{txt}{col 49}Prob > F{col 67}= {res}    0.0012
{txt}{col 49}R-squared{col 67}= {res}    0.0256
{txt}{col 49}Adj R-squared{col 67}= {res}    0.0218
{txt}{col 49}Root MSE{col 67}= {res}    1.0005

{txt}{ralign 78:(Std. Err. adjusted for {res:187} clusters in hc_id)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}e_find_eff~z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2}-.0458824{col 26}{space 2} .0267867{col 37}{space 1}   -1.71{col 46}{space 3}0.088{col 54}{space 4}-.0987271{col 67}{space 3} .0069623
{txt}{space 1}c_tfull_hc2 {c |}{col 14}{res}{space 2} .1166376{col 26}{space 2} .0504686{col 37}{space 1}    2.31{col 46}{space 3}0.022{col 54}{space 4} .0170731{col 67}{space 3}  .216202
{txt}c_tfull_b_~l {c |}{col 14}{res}{space 2} .0285028{col 26}{space 2} .0655704{col 37}{space 1}    0.43{col 46}{space 3}0.664{col 54}{space 4}-.1008545{col 67}{space 3} .1578601
{txt}c_tfull_b_~s {c |}{col 14}{res}{space 2}-.0621031{col 26}{space 2} .0714093{col 37}{space 1}   -0.87{col 46}{space 3}0.386{col 54}{space 4}-.2029794{col 67}{space 3} .0787733
{txt}c_tfull_b_~d {c |}{col 14}{res}{space 2} .1831005{col 26}{space 2} .0707173{col 37}{space 1}    2.59{col 46}{space 3}0.010{col 54}{space 4} .0435895{col 67}{space 3} .3226115
{txt}c_tfull_ed~r {c |}{col 14}{res}{space 2}  .005041{col 26}{space 2} .0039499{col 37}{space 1}    1.28{col 46}{space 3}0.203{col 54}{space 4}-.0027514{col 67}{space 3} .0128334
{txt}c_tfull_b_~x {c |}{col 14}{res}{space 2} .0322585{col 26}{space 2} .0183377{col 37}{space 1}    1.76{col 46}{space 3}0.080{col 54}{space 4}-.0039181{col 67}{space 3} .0684351
{txt}c_trea~l_hc2 {c |}{col 14}{res}{space 2} -.014066{col 26}{space 2} .0635105{col 37}{space 1}   -0.22{col 46}{space 3}0.825{col 54}{space 4}-.1393596{col 67}{space 3} .1112276
{txt}c_treatful.. {c |}{col 14}{res}{space 2}-.0035436{col 26}{space 2} .0776708{col 37}{space 1}   -0.05{col 46}{space 3}0.964{col 54}{space 4}-.1567725{col 67}{space 3} .1496854
{txt}c_treatful.. {c |}{col 14}{res}{space 2} .0879951{col 26}{space 2} .0875962{col 37}{space 1}    1.00{col 46}{space 3}0.316{col 54}{space 4}-.0848147{col 67}{space 3}  .260805
{txt}c_treatful.. {c |}{col 14}{res}{space 2}-.0475658{col 26}{space 2} .1077021{col 37}{space 1}   -0.44{col 46}{space 3}0.659{col 54}{space 4}-.2600405{col 67}{space 3} .1649088
{txt}c_treatful.. {c |}{col 14}{res}{space 2} .0009025{col 26}{space 2}     .006{col 37}{space 1}    0.15{col 46}{space 3}0.881{col 54}{space 4}-.0109342{col 67}{space 3} .0127392
{txt}c_treatful.. {c |}{col 14}{res}{space 2} -.014926{col 26}{space 2} .0275386{col 37}{space 1}   -0.54{col 46}{space 3}0.588{col 54}{space 4}-.0692542{col 67}{space 3} .0394023
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} .0053828{col 26}{space 2} .0185176{col 37}{space 1}    0.29{col 46}{space 3}0.772{col 54}{space 4}-.0311487{col 67}{space 3} .0419144
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{com}.                 
.         * We create the adjusted p-value following the Benjamini-Hochberg methodology 
.         
.         local y = 5
{txt}
{com}.         
.         local ps `p_2'
{txt}
{com}.         forvalues x = 3/`y' {c -(}
{txt}  2{com}.                 local ps `ps' \ `p_`x''
{txt}  3{com}.                 {c )-}
{txt}
{com}. 
.         matrix mat = (`ps')
{txt}
{com}.                 
.         * We need to rank the p-value, transpose it and transfer it to local
.         
.         matsort mat 1 "up"
{txt}
{com}.         
.         mat ps_mat = mat'
{txt}
{com}.         
.         mat list ps_mat
{res}
{txt}ps_mat[1,4]
           r4         r1         r2         r3
c1 {res} .08840022  .34582982  .64764243  .79622607
{reset}
{com}.         
.         local ps_rank
{txt}
{com}.         
.         forvalues z = 1/`y' {c -(}
{txt}  2{com}.                 local x = ps_mat[1,`z']
{txt}  3{com}.                 local ps_rank `ps_rank' `x'
{txt}  4{com}.                 {c )-}
{txt}
{com}.                 
.         di "`ps_rank'"
{res}.0884002238676403 .3458298162978868 .6476424256935103 .796226070807649 .
{txt}
{com}.         
.         * We count the number of tests (numerator)
.         
.         local num_p = `y' - 1
{txt}
{com}.         
.         * We calculate the BH value
.         
.         local z = 0
{txt}
{com}.         foreach i of local ps_rank {c -(}
{txt}  2{com}.                 local z = `z' + 1 
{txt}  3{com}.                 local adj_p`z' = (`i' * `num_p') / `z'
{txt}  4{com}.                 {c )-}
{txt}
{com}.                 
.         * We compare it according to the rank and eventually replace it
.         
.         forvalues r = 1/`y' {c -(}
{txt}  2{com}.         local d = `y' - 1
{txt}  3{com}.         forvalues z = 1/`d' {c -(}
{txt}  4{com}.                 local v = `z' + 1
{txt}  5{com}.                         if `adj_p`z'' >= `adj_p`v'' {c -(}
{txt}  6{com}.                                 local adj_p`z' `adj_p`v''
{txt}  7{com}.                                 {c )-}
{txt}  8{com}.                         {c )-}
{txt}  9{com}.                         {c )-}
{txt}
{com}.         
.         * We store it in the estimator
.         
.         local z = 0
{txt}
{com}.         foreach i of local ps_rank {c -(}
{txt}  2{com}.                 local z = `z' + 1 
{txt}  3{com}.                 forvalues j = 2/`y' {c -(}
{txt}  4{com}.                         if `i' == `p_`j'' {c -(} 
{txt}  5{com}.                         estimates restore m`j'
{txt}  6{com}.                         estadd scalar adj_p = `adj_p`z''
{txt}  7{com}.                         {c )-}
{txt}  8{com}.                 {c )-}
{txt}  9{com}.                 {c )-}       
{txt}(results {stata estimates replay m5:m5} are active now)

added scalar:
              e(adj_p) =  {res}.3536009
{txt}(results {stata estimates replay m2:m2} are active now)

added scalar:
              e(adj_p) =  {res}.69165963
{txt}(results {stata estimates replay m3:m3} are active now)

added scalar:
              e(adj_p) =  {res}.79622607
{txt}(results {stata estimates replay m4:m4} are active now)

added scalar:
              e(adj_p) =  {res}.79622607
{txt}
{com}.         
.         * We include the adjusted p-value from the main outcomes index
.         
.         estimates restore m1
{txt}(results {stata estimates replay m1:m1} are active now)

{com}.         estadd scalar adj_p = 0.900

{txt}added scalar:
              e(adj_p) =  {res}.9
{txt}
{com}.         
.         *************************************
.         * Table Comm mon outcomes (endline) *
.         *************************************
.         
.         coefplot (m1 \ m2 \ m3 \ m4 \ m5), keep(`var') xline(0, lcolor(gray)) scheme(s1mono) mcolor(blue) mlcolor(blue) levels(95 90) ciopts(lcolor(blue blue) lwidth(medium thick)) grid(none) xtick(-.4 -.2 0 .2 .4) xlabel(-.4 -.2 0 .2 .4) aseq swapnames coeflabels(m1 = "{c -(}bf:Citizen monitoring index{c )-}" m2 = "Attended LC1 meetings" m3 = "HC discussed at LC1 meetings" m4 = "Community would find out: staff late" m5 = "Community would find out: staff no effort")  note("Displaying 95% and 90% confidence intervals")
{res}{txt}
{com}.         qui graph export "${c -(}Figures{c )-}/Figure4a_ctzmonitoring.png", replace
{txt}
{com}.         
.         
.         # delimit;
{txt}delimiter now ;
{com}.                 esttab m1 m2 m3 m4 m5
>         using "${c -(}tables{c )-}/TableI2.tex", b(%5.3f) se(%5.3f)
>                 title(Community monitoring index -- Subcomponents)
>                 keep(`var' _cons)
>                 varlabels (`var' "Full treatment" _cons "Constant")     
>                 starlevels(* .10 ** .05 *** .01)                
>                 mtitles("\textbf{c -(}\begin{c -(}tabular{c )-}[c]{c -(}@{c -(}{c )-}c@{c -(}{c )-}{c )-}Community\\monitoring\\index\end{c -(}tabular{c )-}{c )-}"
>                                 "\begin{c -(}tabular{c )-}[c]{c -(}@{c -(}{c )-}c@{c -(}{c )-}{c )-}Attended\\LC1 meetings\end{c -(}tabular{c )-}"
>                                 "\begin{c -(}tabular{c )-}[c]{c -(}@{c -(}{c )-}c@{c -(}{c )-}{c )-}HC discussed\\at LC1 meetings\end{c -(}tabular{c )-}"
>                                 "\begin{c -(}tabular{c )-}[c]{c -(}@{c -(}{c )-}c@{c -(}{c )-}{c )-}Community\\would find out:\\staff late\end{c -(}tabular{c )-}"
>                                 "\begin{c -(}tabular{c )-}[c]{c -(}@{c -(}{c )-}c@{c -(}{c )-}{c )-}Community\\would find out:\\staff no effort\end{c -(}tabular{c )-}")
>                 stats(N r2 adj_p, labels("N" "R$^{c -(}2{c )-}$" "Adjusted p-value (FT)") fmt(%9.0fc %9.3fc)) label booktabs nonotes replace
>         
>         ;
{res}{txt}(output written to {browse  `"/Users/fredericcochinard/Dropbox/ACT_Health_JOP_replication_file/3.Tables and Figures/Tables/TableI2.tex"'})

{com}.                 # delimit cr
{txt}delimiter now cr
{com}.         
.         ********************
.         * Non standardized *
.         ********************
.         
.         * At endline:
.         
.         eststo clear
{txt}
{com}.         
.         local y = 1
{txt}
{com}.         foreach x in `commmonitoring_ns' {c -(}
{txt}  2{com}.                 areg  e_`x' `var' b_`x' b_`x'_d `e_controls_tfull' ``var'_int_e_controls', robust cl(hc_id) a(district)
{txt}  3{com}.                 
.                 qui sum e_`x' if `var' == 0
{txt}  4{com}.                 local meane_`x' r(mean)
{txt}  5{com}.                 local meane_`x' = string(`meane_`x'',"%9.3fc")
{txt}  6{com}.                 
.                 estadd scalar meane = `meane_`x''
{txt}  7{com}.                 
.                 qui sum b_`x' if `var' == 0
{txt}  8{com}.                 local meanb_`x' r(mean)
{txt}  9{com}.                 local meanb_`x' = string(`meanb_`x'',"%9.3fc")
{txt} 10{com}.                 
.                 estadd scalar meanb = `meanb_`x''
{txt} 11{com}.                 
.                 estimates store m`y'
{txt} 12{com}.                 
.                 local y = `y' + 1
{txt} 13{com}.                 
.                 {c )-}
{txt}note: b_commtg_z_d omitted because of collinearity
{res}
{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}     7,288
{txt}{col 49}F({res}  14{txt},{res}    186{txt}){col 67}= {res}      7.74
{txt}{col 49}Prob > F{col 67}= {res}    0.0000
{txt}{col 49}R-squared{col 67}= {res}    0.0972
{txt}{col 49}Adj R-squared{col 67}= {res}    0.0936
{txt}{col 49}Root MSE{col 67}= {res}    0.5587

{txt}{ralign 78:(Std. Err. adjusted for {res:187} clusters in hc_id)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}  e_commtg_z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2}  .005716{col 26}{space 2} .0278794{col 37}{space 1}    0.21{col 46}{space 3}0.838{col 54}{space 4}-.0492844{col 67}{space 3} .0607164
{txt}{space 2}b_commtg_z {c |}{col 14}{res}{space 2}  .075351{col 26}{space 2} .0135371{col 37}{space 1}    5.57{col 46}{space 3}0.000{col 54}{space 4}  .048645{col 67}{space 3} .1020571
{txt}b_commtg_z_d {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 1}c_tfull_hc2 {c |}{col 14}{res}{space 2} .1127772{col 26}{space 2} .0469224{col 37}{space 1}    2.40{col 46}{space 3}0.017{col 54}{space 4} .0202086{col 67}{space 3} .2053457
{txt}c_tfull_b_~l {c |}{col 14}{res}{space 2}  .054842{col 26}{space 2}  .069432{col 37}{space 1}    0.79{col 46}{space 3}0.431{col 54}{space 4}-.0821334{col 67}{space 3} .1918175
{txt}c_tfull_b_~s {c |}{col 14}{res}{space 2}-.0064699{col 26}{space 2}  .081617{col 37}{space 1}   -0.08{col 46}{space 3}0.937{col 54}{space 4}-.1674839{col 67}{space 3} .1545442
{txt}c_tfull_b_~d {c |}{col 14}{res}{space 2} .0433235{col 26}{space 2} .0462249{col 37}{space 1}    0.94{col 46}{space 3}0.350{col 54}{space 4} -.047869{col 67}{space 3}  .134516
{txt}c_tfull_ed~r {c |}{col 14}{res}{space 2} .0041103{col 26}{space 2} .0024131{col 37}{space 1}    1.70{col 46}{space 3}0.090{col 54}{space 4}-.0006503{col 67}{space 3}  .008871
{txt}c_tfull_b_~x {c |}{col 14}{res}{space 2} .0282947{col 26}{space 2} .0112299{col 37}{space 1}    2.52{col 46}{space 3}0.013{col 54}{space 4} .0061404{col 67}{space 3} .0504491
{txt}c_trea~l_hc2 {c |}{col 14}{res}{space 2} .0164751{col 26}{space 2} .0599684{col 37}{space 1}    0.27{col 46}{space 3}0.784{col 54}{space 4}-.1018307{col 67}{space 3} .1347808
{txt}c_treatful.. {c |}{col 14}{res}{space 2} .0554279{col 26}{space 2} .0787416{col 37}{space 1}    0.70{col 46}{space 3}0.482{col 54}{space 4}-.0999135{col 67}{space 3} .2107694
{txt}c_treatful.. {c |}{col 14}{res}{space 2} .0250956{col 26}{space 2} .0840533{col 37}{space 1}    0.30{col 46}{space 3}0.766{col 54}{space 4}-.1407247{col 67}{space 3}  .190916
{txt}c_treatful.. {c |}{col 14}{res}{space 2} .0976623{col 26}{space 2} .0626955{col 37}{space 1}    1.56{col 46}{space 3}0.121{col 54}{space 4}-.0260233{col 67}{space 3}  .221348
{txt}c_treatful.. {c |}{col 14}{res}{space 2} .0007403{col 26}{space 2} .0034503{col 37}{space 1}    0.21{col 46}{space 3}0.830{col 54}{space 4}-.0060665{col 67}{space 3} .0075472
{txt}c_treatful.. {c |}{col 14}{res}{space 2}-.0015996{col 26}{space 2} .0174295{col 37}{space 1}   -0.09{col 46}{space 3}0.927{col 54}{space 4}-.0359845{col 67}{space 3} .0327853
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} .0034965{col 26}{space 2} .0191534{col 37}{space 1}    0.18{col 46}{space 3}0.855{col 54}{space 4}-.0342894{col 67}{space 3} .0412824
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

added scalar:
              e(meane) =  {res}0

{txt}added scalar:
              e(meanb) =  {res}0

{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}     7,288
{txt}{col 49}F({res}  15{txt},{res}    186{txt}){col 67}= {res}      4.46
{txt}{col 49}Prob > F{col 67}= {res}    0.0000
{txt}{col 49}R-squared{col 67}= {res}    0.1047
{txt}{col 49}Adj R-squared{col 67}= {res}    0.1010
{txt}{col 49}Root MSE{col 67}= {res}    0.2515

{txt}{ralign 78:(Std. Err. adjusted for {res:187} clusters in hc_id)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}e_lc1_meet~s{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2} .0133232{col 26}{space 2} .0140971{col 37}{space 1}    0.95{col 46}{space 3}0.346{col 54}{space 4}-.0144874{col 67}{space 3} .0411339
{txt}b_lc1_meet~s {c |}{col 14}{res}{space 2}  .090958{col 26}{space 2} .0214686{col 37}{space 1}    4.24{col 46}{space 3}0.000{col 54}{space 4} .0486047{col 67}{space 3} .1333113
{txt}b_lc1_me~s_d {c |}{col 14}{res}{space 2}-.0241564{col 26}{space 2} .0072731{col 37}{space 1}   -3.32{col 46}{space 3}0.001{col 54}{space 4}-.0385049{col 67}{space 3} -.009808
{txt}{space 1}c_tfull_hc2 {c |}{col 14}{res}{space 2} .0087395{col 26}{space 2} .0271637{col 37}{space 1}    0.32{col 46}{space 3}0.748{col 54}{space 4} -.044849{col 67}{space 3} .0623281
{txt}c_tfull_b_~l {c |}{col 14}{res}{space 2} .0279408{col 26}{space 2} .0358819{col 37}{space 1}    0.78{col 46}{space 3}0.437{col 54}{space 4}-.0428469{col 67}{space 3} .0987286
{txt}c_tfull_b_~s {c |}{col 14}{res}{space 2}-.0430905{col 26}{space 2} .0398563{col 37}{space 1}   -1.08{col 46}{space 3}0.281{col 54}{space 4}-.1217189{col 67}{space 3} .0355379
{txt}c_tfull_b_~d {c |}{col 14}{res}{space 2}-.0437661{col 26}{space 2} .0299167{col 37}{space 1}   -1.46{col 46}{space 3}0.145{col 54}{space 4}-.1027857{col 67}{space 3} .0152535
{txt}c_tfull_ed~r {c |}{col 14}{res}{space 2} .0024707{col 26}{space 2} .0011382{col 37}{space 1}    2.17{col 46}{space 3}0.031{col 54}{space 4} .0002253{col 67}{space 3} .0047162
{txt}c_tfull_b_~x {c |}{col 14}{res}{space 2}  .005209{col 26}{space 2} .0052933{col 37}{space 1}    0.98{col 46}{space 3}0.326{col 54}{space 4}-.0052337{col 67}{space 3} .0156517
{txt}c_trea~l_hc2 {c |}{col 14}{res}{space 2} .0340211{col 26}{space 2} .0311969{col 37}{space 1}    1.09{col 46}{space 3}0.277{col 54}{space 4}-.0275241{col 67}{space 3} .0955663
{txt}c_treatful.. {c |}{col 14}{res}{space 2} .0334946{col 26}{space 2} .0406825{col 37}{space 1}    0.82{col 46}{space 3}0.411{col 54}{space 4}-.0467638{col 67}{space 3}  .113753
{txt}c_treatful.. {c |}{col 14}{res}{space 2} .0183235{col 26}{space 2} .0432067{col 37}{space 1}    0.42{col 46}{space 3}0.672{col 54}{space 4}-.0669147{col 67}{space 3} .1035616
{txt}c_treatful.. {c |}{col 14}{res}{space 2}  .047454{col 26}{space 2} .0358051{col 37}{space 1}    1.33{col 46}{space 3}0.187{col 54}{space 4}-.0231823{col 67}{space 3} .1180903
{txt}c_treatful.. {c |}{col 14}{res}{space 2}-.0021475{col 26}{space 2}  .001605{col 37}{space 1}   -1.34{col 46}{space 3}0.183{col 54}{space 4} -.005314{col 67}{space 3} .0010189
{txt}c_treatful.. {c |}{col 14}{res}{space 2} .0070325{col 26}{space 2} .0078807{col 37}{space 1}    0.89{col 46}{space 3}0.373{col 54}{space 4}-.0085144{col 67}{space 3} .0225795
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} .7644619{col 26}{space 2} .0223224{col 37}{space 1}   34.25{col 46}{space 3}0.000{col 54}{space 4} .7204242{col 67}{space 3} .8084996
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

added scalar:
              e(meane) =  {res}.833

{txt}added scalar:
              e(meanb) =  {res}.888

{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}     7,288
{txt}{col 49}F({res}  15{txt},{res}    186{txt}){col 67}= {res}      4.54
{txt}{col 49}Prob > F{col 67}= {res}    0.0000
{txt}{col 49}R-squared{col 67}= {res}    0.0862
{txt}{col 49}Adj R-squared{col 67}= {res}    0.0825
{txt}{col 49}Root MSE{col 67}= {res}    0.3191

{txt}{ralign 78:(Std. Err. adjusted for {res:187} clusters in hc_id)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}e_lc1_meet~c{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2} .0105693{col 26}{space 2}  .023088{col 37}{space 1}    0.46{col 46}{space 3}0.648{col 54}{space 4}-.0349787{col 67}{space 3} .0561173
{txt}b_lc1_meet~c {c |}{col 14}{res}{space 2} .1242936{col 26}{space 2} .0191563{col 37}{space 1}    6.49{col 46}{space 3}0.000{col 54}{space 4}  .086502{col 67}{space 3} .1620852
{txt}b_lc1_me~c_d {c |}{col 14}{res}{space 2} -.014226{col 26}{space 2} .0097564{col 37}{space 1}   -1.46{col 46}{space 3}0.146{col 54}{space 4}-.0334734{col 67}{space 3} .0050214
{txt}{space 1}c_tfull_hc2 {c |}{col 14}{res}{space 2} .0542203{col 26}{space 2} .0428254{col 37}{space 1}    1.27{col 46}{space 3}0.207{col 54}{space 4}-.0302658{col 67}{space 3} .1387063
{txt}c_tfull_b_~l {c |}{col 14}{res}{space 2} .0159051{col 26}{space 2} .0564293{col 37}{space 1}    0.28{col 46}{space 3}0.778{col 54}{space 4}-.0954186{col 67}{space 3} .1272288
{txt}c_tfull_b_~s {c |}{col 14}{res}{space 2} .0955673{col 26}{space 2} .0659174{col 37}{space 1}    1.45{col 46}{space 3}0.149{col 54}{space 4}-.0344745{col 67}{space 3} .2256091
{txt}c_tfull_b_~d {c |}{col 14}{res}{space 2}-.0179882{col 26}{space 2} .0304238{col 37}{space 1}   -0.59{col 46}{space 3}0.555{col 54}{space 4}-.0780084{col 67}{space 3} .0420319
{txt}c_tfull_ed~r {c |}{col 14}{res}{space 2}-.0000221{col 26}{space 2} .0014083{col 37}{space 1}   -0.02{col 46}{space 3}0.988{col 54}{space 4}-.0028005{col 67}{space 3} .0027563
{txt}c_tfull_b_~x {c |}{col 14}{res}{space 2} .0082147{col 26}{space 2} .0088854{col 37}{space 1}    0.92{col 46}{space 3}0.356{col 54}{space 4}-.0093145{col 67}{space 3} .0257438
{txt}c_trea~l_hc2 {c |}{col 14}{res}{space 2}-.0328579{col 26}{space 2} .0540367{col 37}{space 1}   -0.61{col 46}{space 3}0.544{col 54}{space 4}-.1394615{col 67}{space 3} .0737458
{txt}c_treatful.. {c |}{col 14}{res}{space 2} .0404004{col 26}{space 2} .0632658{col 37}{space 1}    0.64{col 46}{space 3}0.524{col 54}{space 4}-.0844105{col 67}{space 3} .1652112
{txt}c_treatful.. {c |}{col 14}{res}{space 2}-.0494776{col 26}{space 2} .0695463{col 37}{space 1}   -0.71{col 46}{space 3}0.478{col 54}{space 4}-.1866786{col 67}{space 3} .0877233
{txt}c_treatful.. {c |}{col 14}{res}{space 2} .0857925{col 26}{space 2} .0397853{col 37}{space 1}    2.16{col 46}{space 3}0.032{col 54}{space 4}  .007304{col 67}{space 3}  .164281
{txt}c_treatful.. {c |}{col 14}{res}{space 2} .0002383{col 26}{space 2} .0021136{col 37}{space 1}    0.11{col 46}{space 3}0.910{col 54}{space 4}-.0039314{col 67}{space 3} .0044079
{txt}c_treatful.. {c |}{col 14}{res}{space 2}-.0039771{col 26}{space 2} .0122737{col 37}{space 1}   -0.32{col 46}{space 3}0.746{col 54}{space 4}-.0281907{col 67}{space 3} .0202365
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} .4255222{col 26}{space 2} .0205787{col 37}{space 1}   20.68{col 46}{space 3}0.000{col 54}{space 4} .3849245{col 67}{space 3}   .46612
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

added scalar:
              e(meane) =  {res}.498

{txt}added scalar:
              e(meanb) =  {res}.648
{txt}
{com}.                 
.         local y = 4
{txt}
{com}.         foreach x in `commmonitoring_nobaseline_ns' {c -(}
{txt}  2{com}.                 areg  e_`x' `var' `e_controls_tfull' ``var'_int_e_controls', robust cl(hc_id) a(district)
{txt}  3{com}.                 
.                 qui sum e_`x' if `var' == 0
{txt}  4{com}.                 local meane_`x' r(mean)
{txt}  5{com}.                 local meane_`x' = string(`meane_`x'',"%9.3fc")
{txt}  6{com}.                 
.                 estadd scalar meane = `meane_`x''
{txt}  7{com}.                 
.                 estimates store m`y'
{txt}  8{com}.                 
.                 local y = `y' + 1
{txt}  9{com}.                 
.                 {c )-}

{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}     7,288
{txt}{col 49}F({res}  13{txt},{res}    186{txt}){col 67}= {res}      4.06
{txt}{col 49}Prob > F{col 67}= {res}    0.0000
{txt}{col 49}R-squared{col 67}= {res}    0.0353
{txt}{col 49}Adj R-squared{col 67}= {res}    0.0316
{txt}{col 49}Root MSE{col 67}= {res}    0.3994

{txt}{ralign 78:(Std. Err. adjusted for {res:187} clusters in hc_id)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}e_find_rep~t{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2}-.0033746{col 26}{space 2} .0130493{col 37}{space 1}   -0.26{col 46}{space 3}0.796{col 54}{space 4}-.0291182{col 67}{space 3}  .022369
{txt}{space 1}c_tfull_hc2 {c |}{col 14}{res}{space 2} .0598736{col 26}{space 2} .0279896{col 37}{space 1}    2.14{col 46}{space 3}0.034{col 54}{space 4} .0046557{col 67}{space 3} .1150915
{txt}c_tfull_b_~l {c |}{col 14}{res}{space 2} .0176901{col 26}{space 2}  .032969{col 37}{space 1}    0.54{col 46}{space 3}0.592{col 54}{space 4}-.0473512{col 67}{space 3} .0827314
{txt}c_tfull_b_~s {c |}{col 14}{res}{space 2}-.0432094{col 26}{space 2} .0359756{col 37}{space 1}   -1.20{col 46}{space 3}0.231{col 54}{space 4} -.114182{col 67}{space 3} .0277633
{txt}c_tfull_b_~d {c |}{col 14}{res}{space 2} .0553174{col 26}{space 2}  .026623{col 37}{space 1}    2.08{col 46}{space 3}0.039{col 54}{space 4} .0027956{col 67}{space 3} .1078392
{txt}c_tfull_ed~r {c |}{col 14}{res}{space 2} .0006278{col 26}{space 2}  .001625{col 37}{space 1}    0.39{col 46}{space 3}0.700{col 54}{space 4} -.002578{col 67}{space 3} .0038337
{txt}c_tfull_b_~x {c |}{col 14}{res}{space 2} .0144241{col 26}{space 2} .0073041{col 37}{space 1}    1.97{col 46}{space 3}0.050{col 54}{space 4} .0000147{col 67}{space 3} .0288336
{txt}c_trea~l_hc2 {c |}{col 14}{res}{space 2} .0211118{col 26}{space 2} .0330392{col 37}{space 1}    0.64{col 46}{space 3}0.524{col 54}{space 4}-.0440679{col 67}{space 3} .0862915
{txt}c_treatful.. {c |}{col 14}{res}{space 2}-.0147001{col 26}{space 2} .0380382{col 37}{space 1}   -0.39{col 46}{space 3}0.700{col 54}{space 4}-.0897419{col 67}{space 3} .0603416
{txt}c_treatful.. {c |}{col 14}{res}{space 2} .0440014{col 26}{space 2} .0406021{col 37}{space 1}    1.08{col 46}{space 3}0.280{col 54}{space 4}-.0360984{col 67}{space 3} .1241011
{txt}c_treatful.. {c |}{col 14}{res}{space 2} .0073453{col 26}{space 2} .0372035{col 37}{space 1}    0.20{col 46}{space 3}0.844{col 54}{space 4}-.0660498{col 67}{space 3} .0807404
{txt}c_treatful.. {c |}{col 14}{res}{space 2} .0042978{col 26}{space 2} .0024059{col 37}{space 1}    1.79{col 46}{space 3}0.076{col 54}{space 4}-.0004485{col 67}{space 3} .0090441
{txt}c_treatful.. {c |}{col 14}{res}{space 2}-.0016483{col 26}{space 2}  .010945{col 37}{space 1}   -0.15{col 46}{space 3}0.880{col 54}{space 4}-.0232407{col 67}{space 3} .0199441
{txt}{space 7}_cons {c |}{col 14}{res}{space 2}  .792256{col 26}{space 2} .0095905{col 37}{space 1}   82.61{col 46}{space 3}0.000{col 54}{space 4} .7733358{col 67}{space 3} .8111762
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

added scalar:
              e(meane) =  {res}.789

{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}     7,288
{txt}{col 49}F({res}  13{txt},{res}    186{txt}){col 67}= {res}      2.78
{txt}{col 49}Prob > F{col 67}= {res}    0.0012
{txt}{col 49}R-squared{col 67}= {res}    0.0256
{txt}{col 49}Adj R-squared{col 67}= {res}    0.0218
{txt}{col 49}Root MSE{col 67}= {res}    0.4041

{txt}{ralign 78:(Std. Err. adjusted for {res:187} clusters in hc_id)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}e_find_eff~t{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2}-.0185313{col 26}{space 2} .0108188{col 37}{space 1}   -1.71{col 46}{space 3}0.088{col 54}{space 4}-.0398746{col 67}{space 3}  .002812
{txt}{space 1}c_tfull_hc2 {c |}{col 14}{res}{space 2} .0471084{col 26}{space 2} .0203836{col 37}{space 1}    2.31{col 46}{space 3}0.022{col 54}{space 4} .0068956{col 67}{space 3} .0873211
{txt}c_tfull_b_~l {c |}{col 14}{res}{space 2} .0115119{col 26}{space 2}  .026483{col 37}{space 1}    0.43{col 46}{space 3}0.664{col 54}{space 4}-.0407338{col 67}{space 3} .0637576
{txt}c_tfull_b_~s {c |}{col 14}{res}{space 2}-.0250826{col 26}{space 2} .0288413{col 37}{space 1}   -0.87{col 46}{space 3}0.386{col 54}{space 4}-.0819807{col 67}{space 3} .0318155
{txt}c_tfull_b_~d {c |}{col 14}{res}{space 2} .0739519{col 26}{space 2} .0285618{col 37}{space 1}    2.59{col 46}{space 3}0.010{col 54}{space 4} .0176052{col 67}{space 3} .1302985
{txt}c_tfull_ed~r {c |}{col 14}{res}{space 2}  .002036{col 26}{space 2} .0015953{col 37}{space 1}    1.28{col 46}{space 3}0.203{col 54}{space 4}-.0011113{col 67}{space 3} .0051832
{txt}c_tfull_b_~x {c |}{col 14}{res}{space 2} .0130288{col 26}{space 2} .0074063{col 37}{space 1}    1.76{col 46}{space 3}0.080{col 54}{space 4}-.0015825{col 67}{space 3}   .02764
{txt}c_trea~l_hc2 {c |}{col 14}{res}{space 2}-.0056811{col 26}{space 2} .0256511{col 37}{space 1}   -0.22{col 46}{space 3}0.825{col 54}{space 4}-.0562855{col 67}{space 3} .0449233
{txt}c_treatful.. {c |}{col 14}{res}{space 2}-.0014312{col 26}{space 2} .0313702{col 37}{space 1}   -0.05{col 46}{space 3}0.964{col 54}{space 4}-.0633183{col 67}{space 3} .0604559
{txt}c_treatful.. {c |}{col 14}{res}{space 2} .0355401{col 26}{space 2} .0353789{col 37}{space 1}    1.00{col 46}{space 3}0.316{col 54}{space 4}-.0342555{col 67}{space 3} .1053357
{txt}c_treatful.. {c |}{col 14}{res}{space 2}-.0192112{col 26}{space 2} .0434994{col 37}{space 1}   -0.44{col 46}{space 3}0.659{col 54}{space 4}-.1050269{col 67}{space 3} .0666045
{txt}c_treatful.. {c |}{col 14}{res}{space 2} .0003645{col 26}{space 2} .0024233{col 37}{space 1}    0.15{col 46}{space 3}0.881{col 54}{space 4}-.0044162{col 67}{space 3} .0051452
{txt}c_treatful.. {c |}{col 14}{res}{space 2}-.0060284{col 26}{space 2} .0111225{col 37}{space 1}   -0.54{col 46}{space 3}0.588{col 54}{space 4}-.0279708{col 67}{space 3} .0159141
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} .7956243{col 26}{space 2}  .007479{col 37}{space 1}  106.38{col 46}{space 3}0.000{col 54}{space 4} .7808696{col 67}{space 3} .8103789
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

added scalar:
              e(meane) =  {res}.793
{txt}
{com}.         
.         # delimit;
{txt}delimiter now ;
{com}.                 esttab m1 m2 m3 m4 m5
>         using "${c -(}tables{c )-}/TableI3.tex", b(%5.3f) se(%5.3f)
>                 title(Citizen monitoring index non-standardized -- Subcomponents)
>                 keep(`var' _cons)
>                 varlabels (`var' "Full treatment" _cons "Constant")     
>                 starlevels(* .10 ** .05 *** .01)                
>                 mtitles("\textbf{c -(}\begin{c -(}tabular{c )-}[c]{c -(}@{c -(}{c )-}c@{c -(}{c )-}{c )-}Citizen\\monitoring\\index\end{c -(}tabular{c )-}{c )-}"
>                                 "\begin{c -(}tabular{c )-}[c]{c -(}@{c -(}{c )-}c@{c -(}{c )-}{c )-}Attended\\LC1 meetings\end{c -(}tabular{c )-}"
>                                 "\begin{c -(}tabular{c )-}[c]{c -(}@{c -(}{c )-}c@{c -(}{c )-}{c )-}HC discussed\\at LC1 meetings\end{c -(}tabular{c )-}"
>                                 "\begin{c -(}tabular{c )-}[c]{c -(}@{c -(}{c )-}c@{c -(}{c )-}{c )-}Community\\would find out:\\staff late\end{c -(}tabular{c )-}"
>                                 "\begin{c -(}tabular{c )-}[c]{c -(}@{c -(}{c )-}c@{c -(}{c )-}{c )-}Community\\would find out:\\staff no effort\end{c -(}tabular{c )-}")
>                 stats(N r2 meane meanb, labels("N" "R$^{c -(}2{c )-}$" "Mean control group endline" "Mean control group baseline") fmt(%9.0fc %9.3fc)) label booktabs nonotes replace
>         
>         ;
{res}{txt}(output written to {browse  `"/Users/fredericcochinard/Dropbox/ACT_Health_JOP_replication_file/3.Tables and Figures/Tables/TableI3.tex"'})

{com}.                 # delimit cr
{txt}delimiter now cr
{com}. 
.         *********************************
.         * Table/Figure Citizen pressure *
.         *********************************
.         
.         * At endline:
.         
.         eststo clear
{txt}
{com}.         
.         local y = 1
{txt}
{com}.         foreach x in `ctzpressure_z' {c -(}
{txt}  2{com}.                 areg  e_`x' `var' b_`x' `e_controls_tfull_hc' ``var'_hc_int_e_controls' if uniquehc == 1, robust a(district)
{txt}  3{com}.                 
.                 local p_`y' = (2 * ttail(e(df_r), abs(_b[`var']/_se[`var'])))
{txt}  4{com}.                 
.                 estimates store m`y'
{txt}  5{com}.                 local y = `y' + 1
{txt}  6{com}.                 {c )-}
{res}
{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}       187
{txt}{col 49}F({res}  14{txt},{res}    157{txt}){col 67}= {res}      1.24
{txt}{col 49}Prob > F{col 67}= {res}    0.2484
{txt}{col 49}R-squared{col 67}= {res}    0.1524
{txt}{col 49}Adj R-squared{col 67}= {res}   -0.0042
{txt}{col 49}Root MSE{col 67}= {res}    0.6902

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}e_h_ctzpre~z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2}-.1398381{col 26}{space 2} .1016938{col 37}{space 1}   -1.38{col 46}{space 3}0.171{col 54}{space 4}-.3407026{col 67}{space 3} .0610265
{txt}b_h_ctzpre~z {c |}{col 14}{res}{space 2} .0076511{col 26}{space 2} .0690759{col 37}{space 1}    0.11{col 46}{space 3}0.912{col 54}{space 4}-.1287869{col 67}{space 3} .1440891
{txt}c_tf~_hc_hc2 {c |}{col 14}{res}{space 2}-.0858617{col 26}{space 2} .1520159{col 37}{space 1}   -0.56{col 46}{space 3}0.573{col 54}{space 4}-.3861219{col 67}{space 3} .2143985
{txt}c_tfull_hc~l {c |}{col 14}{res}{space 2} .0656689{col 26}{space 2}  .195336{col 37}{space 1}    0.34{col 46}{space 3}0.737{col 54}{space 4}-.3201566{col 67}{space 3} .4514944
{txt}c_tfull_hc~s {c |}{col 14}{res}{space 2} .6333753{col 26}{space 2} .2576883{col 37}{space 1}    2.46{col 46}{space 3}0.015{col 54}{space 4} .1243921{col 67}{space 3} 1.142359
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2}-.6222355{col 26}{space 2} .5768423{col 37}{space 1}   -1.08{col 46}{space 3}0.282{col 54}{space 4}-1.761608{col 67}{space 3} .5171372
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2}-.0480568{col 26}{space 2}  .084333{col 37}{space 1}   -0.57{col 46}{space 3}0.570{col 54}{space 4}-.2146304{col 67}{space 3} .1185168
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2}-.1589857{col 26}{space 2} .2356689{col 37}{space 1}   -0.67{col 46}{space 3}0.501{col 54}{space 4}-.6244763{col 67}{space 3} .3065049
{txt}c_treatful.. {c |}{col 14}{res}{space 2} .0552366{col 26}{space 2} .2415604{col 37}{space 1}    0.23{col 46}{space 3}0.819{col 54}{space 4}-.4218909{col 67}{space 3}  .532364
{txt}c_treatful.. {c |}{col 14}{res}{space 2}-.1737508{col 26}{space 2} .2468112{col 37}{space 1}   -0.70{col 46}{space 3}0.482{col 54}{space 4}-.6612497{col 67}{space 3} .3137481
{txt}c_treatful.. {c |}{col 14}{res}{space 2}-.5837434{col 26}{space 2} .2777031{col 37}{space 1}   -2.10{col 46}{space 3}0.037{col 54}{space 4} -1.13226{col 67}{space 3}-.0352272
{txt}c_treatful.. {c |}{col 14}{res}{space 2} .9261883{col 26}{space 2} 1.020651{col 37}{space 1}    0.91{col 46}{space 3}0.366{col 54}{space 4}-1.089791{col 67}{space 3} 2.942167
{txt}c_treatful.. {c |}{col 14}{res}{space 2} .1509128{col 26}{space 2} .1198398{col 37}{space 1}    1.26{col 46}{space 3}0.210{col 54}{space 4}-.0857935{col 67}{space 3} .3876192
{txt}c_treatful.. {c |}{col 14}{res}{space 2}-.0460213{col 26}{space 2} .2763784{col 37}{space 1}   -0.17{col 46}{space 3}0.868{col 54}{space 4}-.5919209{col 67}{space 3} .4998783
{txt}{space 7}_cons {c |}{col 14}{res}{space 2}  .014802{col 26}{space 2} .0641678{col 37}{space 1}    0.23{col 46}{space 3}0.818{col 54}{space 4}-.1119416{col 67}{space 3} .1415456
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)
{res}
{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}       187
{txt}{col 49}F({res}  14{txt},{res}    157{txt}){col 67}= {res}      0.72
{txt}{col 49}Prob > F{col 67}= {res}    0.7490
{txt}{col 49}R-squared{col 67}= {res}    0.1424
{txt}{col 49}Adj R-squared{col 67}= {res}   -0.0160
{txt}{col 49}Root MSE{col 67}= {res}    1.0540

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1} e_h_wrong_z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2}-.1067119{col 26}{space 2} .1586062{col 37}{space 1}   -0.67{col 46}{space 3}0.502{col 54}{space 4}-.4199892{col 67}{space 3} .2065655
{txt}{space 1}b_h_wrong_z {c |}{col 14}{res}{space 2}-.0466647{col 26}{space 2} .0901091{col 37}{space 1}   -0.52{col 46}{space 3}0.605{col 54}{space 4}-.2246472{col 67}{space 3} .1313178
{txt}c_tf~_hc_hc2 {c |}{col 14}{res}{space 2}-.1147218{col 26}{space 2} .2397307{col 37}{space 1}   -0.48{col 46}{space 3}0.633{col 54}{space 4}-.5882353{col 67}{space 3} .3587918
{txt}c_tfull_hc~l {c |}{col 14}{res}{space 2}-.1830983{col 26}{space 2} .3149565{col 37}{space 1}   -0.58{col 46}{space 3}0.562{col 54}{space 4}-.8051969{col 67}{space 3} .4390003
{txt}c_tfull_hc~s {c |}{col 14}{res}{space 2} .7818861{col 26}{space 2} .4100137{col 37}{space 1}    1.91{col 46}{space 3}0.058{col 54}{space 4}-.0279685{col 67}{space 3} 1.591741
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2}-1.038134{col 26}{space 2} .7894332{col 37}{space 1}   -1.32{col 46}{space 3}0.190{col 54}{space 4}-2.597414{col 67}{space 3} .5211463
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2}-.1452646{col 26}{space 2} .1359847{col 37}{space 1}   -1.07{col 46}{space 3}0.287{col 54}{space 4}-.4138601{col 67}{space 3} .1233309
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2} -.358379{col 26}{space 2} .4025117{col 37}{space 1}   -0.89{col 46}{space 3}0.375{col 54}{space 4}-1.153416{col 67}{space 3} .4366577
{txt}c_treatful.. {c |}{col 14}{res}{space 2} .3889984{col 26}{space 2} .3481025{col 37}{space 1}    1.12{col 46}{space 3}0.265{col 54}{space 4}-.2985699{col 67}{space 3} 1.076567
{txt}c_treatful.. {c |}{col 14}{res}{space 2} .0057195{col 26}{space 2} .3434208{col 37}{space 1}    0.02{col 46}{space 3}0.987{col 54}{space 4}-.6726016{col 67}{space 3} .6840405
{txt}c_treatful.. {c |}{col 14}{res}{space 2}-.4817681{col 26}{space 2} .3478539{col 37}{space 1}   -1.38{col 46}{space 3}0.168{col 54}{space 4}-1.168845{col 67}{space 3} .2053093
{txt}c_treatful.. {c |}{col 14}{res}{space 2} .9009469{col 26}{space 2} 1.373168{col 37}{space 1}    0.66{col 46}{space 3}0.513{col 54}{space 4}-1.811319{col 67}{space 3} 3.613213
{txt}c_treatful.. {c |}{col 14}{res}{space 2} .1476611{col 26}{space 2} .1609698{col 37}{space 1}    0.92{col 46}{space 3}0.360{col 54}{space 4}-.1702847{col 67}{space 3} .4656069
{txt}c_treatful.. {c |}{col 14}{res}{space 2}-.0934739{col 26}{space 2} .4096229{col 37}{space 1}   -0.23{col 46}{space 3}0.820{col 54}{space 4}-.9025565{col 67}{space 3} .7156087
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} .0283933{col 26}{space 2} .1069439{col 37}{space 1}    0.27{col 46}{space 3}0.791{col 54}{space 4}-.1828412{col 67}{space 3} .2396278
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)
{res}
{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}       187
{txt}{col 49}F({res}  14{txt},{res}    157{txt}){col 67}= {res}      1.29
{txt}{col 49}Prob > F{col 67}= {res}    0.2177
{txt}{col 49}R-squared{col 67}= {res}    0.1847
{txt}{col 49}Adj R-squared{col 67}= {res}    0.0341
{txt}{col 49}Root MSE{col 67}= {res}    1.0976

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}e_h_pressu~z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2}-.2935826{col 26}{space 2} .1609186{col 37}{space 1}   -1.82{col 46}{space 3}0.070{col 54}{space 4}-.6114272{col 67}{space 3} .0242621
{txt}b_h_pressu~z {c |}{col 14}{res}{space 2} .0240674{col 26}{space 2} .0899358{col 37}{space 1}    0.27{col 46}{space 3}0.789{col 54}{space 4}-.1535728{col 67}{space 3} .2017076
{txt}c_tf~_hc_hc2 {c |}{col 14}{res}{space 2}-.1981577{col 26}{space 2} .3199286{col 37}{space 1}   -0.62{col 46}{space 3}0.537{col 54}{space 4}-.8300771{col 67}{space 3} .4337617
{txt}c_tfull_hc~l {c |}{col 14}{res}{space 2} .0090483{col 26}{space 2} .3356333{col 37}{space 1}    0.03{col 46}{space 3}0.979{col 54}{space 4}-.6538909{col 67}{space 3} .6719874
{txt}c_tfull_hc~s {c |}{col 14}{res}{space 2} .2827425{col 26}{space 2} .3745847{col 37}{space 1}    0.75{col 46}{space 3}0.451{col 54}{space 4}-.4571332{col 67}{space 3} 1.022618
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2}-.6263155{col 26}{space 2} .8612016{col 37}{space 1}   -0.73{col 46}{space 3}0.468{col 54}{space 4}-2.327351{col 67}{space 3} 1.074721
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2} .1074661{col 26}{space 2} .1212952{col 37}{space 1}    0.89{col 46}{space 3}0.377{col 54}{space 4}-.1321148{col 67}{space 3}  .347047
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2}-.4157157{col 26}{space 2} .3831396{col 37}{space 1}   -1.09{col 46}{space 3}0.280{col 54}{space 4}-1.172489{col 67}{space 3} .3410576
{txt}c_treatful.. {c |}{col 14}{res}{space 2} .1698533{col 26}{space 2} .4395205{col 37}{space 1}    0.39{col 46}{space 3}0.700{col 54}{space 4}-.6982828{col 67}{space 3} 1.037989
{txt}c_treatful.. {c |}{col 14}{res}{space 2} .0255121{col 26}{space 2} .4540582{col 37}{space 1}    0.06{col 46}{space 3}0.955{col 54}{space 4}-.8713387{col 67}{space 3}  .922363
{txt}c_treatful.. {c |}{col 14}{res}{space 2}-.4041571{col 26}{space 2} .4798802{col 37}{space 1}   -0.84{col 46}{space 3}0.401{col 54}{space 4}-1.352011{col 67}{space 3} .5436971
{txt}c_treatful.. {c |}{col 14}{res}{space 2} 1.092835{col 26}{space 2} 1.965418{col 37}{space 1}    0.56{col 46}{space 3}0.579{col 54}{space 4}-2.789237{col 67}{space 3} 4.974907
{txt}c_treatful.. {c |}{col 14}{res}{space 2} .0676976{col 26}{space 2} .1742265{col 37}{space 1}    0.39{col 46}{space 3}0.698{col 54}{space 4}-.2764327{col 67}{space 3} .4118279
{txt}c_treatful.. {c |}{col 14}{res}{space 2} .5907255{col 26}{space 2} .4188764{col 37}{space 1}    1.41{col 46}{space 3}0.160{col 54}{space 4}-.2366346{col 67}{space 3} 1.418086
{txt}{space 7}_cons {c |}{col 14}{res}{space 2}-.0045179{col 26}{space 2} .1030927{col 37}{space 1}   -0.04{col 46}{space 3}0.965{col 54}{space 4}-.2081455{col 67}{space 3} .1991097
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{com}.                 
.         foreach x in `ctzpressure_nobase' {c -(}
{txt}  2{com}.                 areg  e_`x' `var' `e_controls_tfull_hc' ``var'_hc_int_e_controls' if uniquehc == 1, robust a(district)
{txt}  3{com}.                 
.                 local p_`y' = (2 * ttail(e(df_r), abs(_b[`var']/_se[`var'])))
{txt}  4{com}.                 
.                 estimates store m`y'
{txt}  5{com}.                 local y = `y' + 1
{txt}  6{com}.                 {c )-}
{res}
{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}       187
{txt}{col 49}F({res}  13{txt},{res}    158{txt}){col 67}= {res}      1.60
{txt}{col 49}Prob > F{col 67}= {res}    0.0903
{txt}{col 49}R-squared{col 67}= {res}    0.1401
{txt}{col 49}Adj R-squared{col 67}= {res}   -0.0123
{txt}{col 49}Root MSE{col 67}= {res}    1.0074

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}e_h_hw_rep~z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2}-.0076279{col 26}{space 2} .1470174{col 37}{space 1}   -0.05{col 46}{space 3}0.959{col 54}{space 4}-.2980009{col 67}{space 3}  .282745
{txt}c_tf~_hc_hc2 {c |}{col 14}{res}{space 2} .0728701{col 26}{space 2} .2889522{col 37}{space 1}    0.25{col 46}{space 3}0.801{col 54}{space 4}-.4978371{col 67}{space 3} .6435774
{txt}c_tfull_hc~l {c |}{col 14}{res}{space 2} .3816246{col 26}{space 2} .3233168{col 37}{space 1}    1.18{col 46}{space 3}0.240{col 54}{space 4}-.2569557{col 67}{space 3} 1.020205
{txt}c_tfull_hc~s {c |}{col 14}{res}{space 2}  .819526{col 26}{space 2} .3193023{col 37}{space 1}    2.57{col 46}{space 3}0.011{col 54}{space 4} .1888745{col 67}{space 3} 1.450178
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2}-.2506898{col 26}{space 2} 1.045436{col 37}{space 1}   -0.24{col 46}{space 3}0.811{col 54}{space 4}-2.315522{col 67}{space 3} 1.814143
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2}-.1073671{col 26}{space 2} .1096106{col 37}{space 1}   -0.98{col 46}{space 3}0.329{col 54}{space 4}-.3238581{col 67}{space 3}  .109124
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2} .3194669{col 26}{space 2} .3476176{col 37}{space 1}    0.92{col 46}{space 3}0.359{col 54}{space 4}  -.36711{col 67}{space 3} 1.006044
{txt}c_treatful.. {c |}{col 14}{res}{space 2}-.4281111{col 26}{space 2} .3873211{col 37}{space 1}   -1.11{col 46}{space 3}0.271{col 54}{space 4}-1.193106{col 67}{space 3} .3368838
{txt}c_treatful.. {c |}{col 14}{res}{space 2}-.5841322{col 26}{space 2}   .40195{col 37}{space 1}   -1.45{col 46}{space 3}0.148{col 54}{space 4} -1.37802{col 67}{space 3}  .209756
{txt}c_treatful.. {c |}{col 14}{res}{space 2}-.8471601{col 26}{space 2} .4186396{col 37}{space 1}   -2.02{col 46}{space 3}0.045{col 54}{space 4}-1.674012{col 67}{space 3}-.0203083
{txt}c_treatful.. {c |}{col 14}{res}{space 2} .8866775{col 26}{space 2}    1.733{col 37}{space 1}    0.51{col 46}{space 3}0.610{col 54}{space 4}-2.536157{col 67}{space 3} 4.309512
{txt}c_treatful.. {c |}{col 14}{res}{space 2} .2368166{col 26}{space 2} .1722878{col 37}{space 1}    1.37{col 46}{space 3}0.171{col 54}{space 4}-.1034678{col 67}{space 3} .5771009
{txt}c_treatful.. {c |}{col 14}{res}{space 2}-.6513072{col 26}{space 2} .4619399{col 37}{space 1}   -1.41{col 46}{space 3}0.161{col 54}{space 4}-1.563681{col 67}{space 3} .2610666
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} .0203311{col 26}{space 2}  .101149{col 37}{space 1}    0.20{col 46}{space 3}0.841{col 54}{space 4}-.1794474{col 67}{space 3} .2201096
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{com}.                 
.         * We create the adjusted p-value following the Benjamini-Hochberg methodology 
.         
.         local y = `y' - 1
{txt}
{com}.         
.         local ps `p_2'
{txt}
{com}.         forvalues x = 3/`y' {c -(}
{txt}  2{com}.                 local ps `ps' \ `p_`x''
{txt}  3{com}.                 {c )-}
{txt}
{com}. 
.         matrix mat = (`ps')
{txt}
{com}.                 
.         * We need to rank the p-value, transpose it and transfer it to local
.         
.         matsort mat 1 "up"
{txt}
{com}.         
.         mat ps_mat = mat'
{txt}
{com}.         
.         mat list ps_mat
{res}
{txt}ps_mat[1,3]
           r2         r1         r3
c1 {res} .06999019  .50205726  .95868614
{reset}
{com}.         
.         local ps_rank
{txt}
{com}.         
.         forvalues z = 1/`y' {c -(}
{txt}  2{com}.                 local x = ps_mat[1,`z']
{txt}  3{com}.                 local ps_rank `ps_rank' `x'
{txt}  4{com}.                 {c )-}
{txt}
{com}.                 
.         di "`ps_rank'"
{res}.0699901874717963 .5020572599112572 .9586861374744496 .
{txt}
{com}.         
.         * We count the number of tests (numerator)
.         
.         local num_p = `y' - 1
{txt}
{com}.         
.         * We calculate the BH value
.         
.         local z = 0
{txt}
{com}.         foreach i of local ps_rank {c -(}
{txt}  2{com}.                 local z = `z' + 1 
{txt}  3{com}.                 local adj_p`z' = (`i' * `num_p') / `z'
{txt}  4{com}.                 {c )-}
{txt}
{com}.                 
.         * We compare it according to the rank and eventually replace it
.         
.         forvalues r = 1/`y' {c -(}
{txt}  2{com}.         local d = `y' - 1
{txt}  3{com}.         forvalues z = 1/`d' {c -(}
{txt}  4{com}.                 local v = `z' + 1
{txt}  5{com}.                         if `adj_p`z'' >= `adj_p`v'' {c -(}
{txt}  6{com}.                                 local adj_p`z' `adj_p`v''
{txt}  7{com}.                                 {c )-}
{txt}  8{com}.                         {c )-}
{txt}  9{com}.                         {c )-}
{txt}
{com}.         
.         * We store it in the estimator
.         
.         local z = 0
{txt}
{com}.         foreach i of local ps_rank {c -(}
{txt}  2{com}.                 local z = `z' + 1 
{txt}  3{com}.                 forvalues j = 2/`y' {c -(}
{txt}  4{com}.                         if `i' == `p_`j'' {c -(} 
{txt}  5{com}.                         estimates restore m`j'
{txt}  6{com}.                         estadd scalar adj_p = `adj_p`z''
{txt}  7{com}.                         {c )-}
{txt}  8{com}.                 {c )-}
{txt}  9{com}.                 {c )-}       
{txt}(results {stata estimates replay m3:m3} are active now)

added scalar:
              e(adj_p) =  {res}.20997056
{txt}(results {stata estimates replay m2:m2} are active now)

added scalar:
              e(adj_p) =  {res}.75308589
{txt}(results {stata estimates replay m4:m4} are active now)

added scalar:
              e(adj_p) =  {res}.95868614
{txt}
{com}.                 
.         * We include the adjusted p-value from the main outcomes index
.         
.         estimates restore m1
{txt}(results {stata estimates replay m1:m1} are active now)

{com}.         estadd scalar adj_p = 0.298

{txt}added scalar:
              e(adj_p) =  {res}.298
{txt}
{com}.         
.         ********************************************
.         * Table Citizen pressure outcomes (endline) *
.         ********************************************
.                 
.         coefplot (m1 \ m2 \ m3 \ m4), keep(`var') xline(0, lcolor(gray)) scheme(s1mono) mcolor(blue) mlcolor(blue) levels(95 90) ciopts(lcolor(blue blue) lwidth(medium thick)) grid(none) xtick(-.4 -.2 0 .2 .4) xlabel(-.4 -.2 0 .2 .4) aseq swapnames coeflabels(m1 = "{c -(}bf:Perceived citizen pressure index{c )-}" m2 = "Community would find out: staff no effort" m3 = "Community would find out: staff absent" m4 = "Any report of staff wrongdoing in past 12 months") note("Displaying 95% and 90% confidence intervals")
{res}{txt}
{com}.         qui graph export "${c -(}Figures{c )-}/Figure4b_ctzpressure.png", replace
{txt}
{com}.         
.         # delimit;
{txt}delimiter now ;
{com}.                 esttab m1 m2 m3 m4
>         using "${c -(}tables{c )-}/TableI4.tex", b(%5.3f) se(%5.3f)
>                 title(Perceived citizen pressure index (endline) -- Subcomponents)
>                 keep(`var' _cons)
>                 varlabels (`var' "Full treatment" _cons "Constant")     
>                 starlevels(* .10 ** .05 *** .01)                
>                 mtitles("\begin{c -(}tabular{c )-}[c]{c -(}@{c -(}{c )-}c@{c -(}{c )-}{c )-}Perceived citizen pressure\\index\end{c -(}tabular{c )-}"
>                                 "\begin{c -(}tabular{c )-}[c]{c -(}@{c -(}{c )-}c@{c -(}{c )-}{c )-}Community would find out:\\ staff no effort\end{c -(}tabular{c )-}"
>                                 "\begin{c -(}tabular{c )-}[c]{c -(}@{c -(}{c )-}c@{c -(}{c )-}{c )-}Community would find out:\\ staff absent\end{c -(}tabular{c )-}"
>                                 "\begin{c -(}tabular{c )-}[c]{c -(}@{c -(}{c )-}c@{c -(}{c )-}{c )-}Any report of staff wrongdoing\\ in past 12 months\end{c -(}tabular{c )-}")
>                 stats(N r2 adj_p, labels("N" "R$^{c -(}2{c )-}$" "Adjusted p-value (FT)") fmt(%9.0fc %9.3fc)) label booktabs nonotes replace
>         
>         ;
{res}{txt}(output written to {browse  `"/Users/fredericcochinard/Dropbox/ACT_Health_JOP_replication_file/3.Tables and Figures/Tables/TableI4.tex"'})

{com}.                 # delimit cr
{txt}delimiter now cr
{com}.         
.         ********************
.         * Non standardized *
.         ********************
.         
.         * At endline:
.         
.         eststo clear
{txt}
{com}.         
.         local y = 1
{txt}
{com}.         foreach x in `ctzpressure_ns' {c -(}
{txt}  2{com}.                 areg e_`x' `var' b_`x' `e_controls_tfull_hc' ``var'_hc_int_e_controls' if uniquehc == 1, robust a(district)
{txt}  3{com}.                 
.                 qui sum e_`x' if `var' == 0
{txt}  4{com}.                 local meane_`x' r(mean)
{txt}  5{com}.                 local meane_`x' = string(`meane_`x'',"%9.3fc")
{txt}  6{com}.                 
.                 qui sum b_`x' if `var' == 0
{txt}  7{com}.                 local meanb_`x' r(mean)
{txt}  8{com}.                 local meanb_`x' = string(`meanb_`x'',"%9.3fc")
{txt}  9{com}.                 
.                 estadd scalar meanb = `meanb_`x''
{txt} 10{com}.                 estadd scalar meane = `meane_`x''
{txt} 11{com}.         
.                 estimates store m`y'
{txt} 12{com}.                 
.                 local y = `y' + 1
{txt} 13{com}.                 
.                 {c )-}
{res}
{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}       187
{txt}{col 49}F({res}  14{txt},{res}    157{txt}){col 67}= {res}      1.24
{txt}{col 49}Prob > F{col 67}= {res}    0.2484
{txt}{col 49}R-squared{col 67}= {res}    0.1524
{txt}{col 49}Adj R-squared{col 67}= {res}   -0.0042
{txt}{col 49}Root MSE{col 67}= {res}    0.6902

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}e_h_ctzpre~z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2}-.1398381{col 26}{space 2} .1016938{col 37}{space 1}   -1.38{col 46}{space 3}0.171{col 54}{space 4}-.3407026{col 67}{space 3} .0610265
{txt}b_h_ctzpre~z {c |}{col 14}{res}{space 2} .0076511{col 26}{space 2} .0690759{col 37}{space 1}    0.11{col 46}{space 3}0.912{col 54}{space 4}-.1287869{col 67}{space 3} .1440891
{txt}c_tf~_hc_hc2 {c |}{col 14}{res}{space 2}-.0858617{col 26}{space 2} .1520159{col 37}{space 1}   -0.56{col 46}{space 3}0.573{col 54}{space 4}-.3861219{col 67}{space 3} .2143985
{txt}c_tfull_hc~l {c |}{col 14}{res}{space 2} .0656689{col 26}{space 2}  .195336{col 37}{space 1}    0.34{col 46}{space 3}0.737{col 54}{space 4}-.3201566{col 67}{space 3} .4514944
{txt}c_tfull_hc~s {c |}{col 14}{res}{space 2} .6333753{col 26}{space 2} .2576883{col 37}{space 1}    2.46{col 46}{space 3}0.015{col 54}{space 4} .1243921{col 67}{space 3} 1.142359
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2}-.6222355{col 26}{space 2} .5768423{col 37}{space 1}   -1.08{col 46}{space 3}0.282{col 54}{space 4}-1.761608{col 67}{space 3} .5171372
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2}-.0480568{col 26}{space 2}  .084333{col 37}{space 1}   -0.57{col 46}{space 3}0.570{col 54}{space 4}-.2146304{col 67}{space 3} .1185168
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2}-.1589857{col 26}{space 2} .2356689{col 37}{space 1}   -0.67{col 46}{space 3}0.501{col 54}{space 4}-.6244763{col 67}{space 3} .3065049
{txt}c_treatful.. {c |}{col 14}{res}{space 2} .0552366{col 26}{space 2} .2415604{col 37}{space 1}    0.23{col 46}{space 3}0.819{col 54}{space 4}-.4218909{col 67}{space 3}  .532364
{txt}c_treatful.. {c |}{col 14}{res}{space 2}-.1737508{col 26}{space 2} .2468112{col 37}{space 1}   -0.70{col 46}{space 3}0.482{col 54}{space 4}-.6612497{col 67}{space 3} .3137481
{txt}c_treatful.. {c |}{col 14}{res}{space 2}-.5837434{col 26}{space 2} .2777031{col 37}{space 1}   -2.10{col 46}{space 3}0.037{col 54}{space 4} -1.13226{col 67}{space 3}-.0352272
{txt}c_treatful.. {c |}{col 14}{res}{space 2} .9261883{col 26}{space 2} 1.020651{col 37}{space 1}    0.91{col 46}{space 3}0.366{col 54}{space 4}-1.089791{col 67}{space 3} 2.942167
{txt}c_treatful.. {c |}{col 14}{res}{space 2} .1509128{col 26}{space 2} .1198398{col 37}{space 1}    1.26{col 46}{space 3}0.210{col 54}{space 4}-.0857935{col 67}{space 3} .3876192
{txt}c_treatful.. {c |}{col 14}{res}{space 2}-.0460213{col 26}{space 2} .2763784{col 37}{space 1}   -0.17{col 46}{space 3}0.868{col 54}{space 4}-.5919209{col 67}{space 3} .4998783
{txt}{space 7}_cons {c |}{col 14}{res}{space 2}  .014802{col 26}{space 2} .0641678{col 37}{space 1}    0.23{col 46}{space 3}0.818{col 54}{space 4}-.1119416{col 67}{space 3} .1415456
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

added scalar:
              e(meanb) =  {res}.002

{txt}added scalar:
              e(meane) =  {res}.009

{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}       187
{txt}{col 49}F({res}  14{txt},{res}    157{txt}){col 67}= {res}      0.72
{txt}{col 49}Prob > F{col 67}= {res}    0.7490
{txt}{col 49}R-squared{col 67}= {res}    0.1424
{txt}{col 49}Adj R-squared{col 67}= {res}   -0.0160
{txt}{col 49}Root MSE{col 67}= {res}    0.2378

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}   e_h_wrong{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2}-.0240762{col 26}{space 2} .0357845{col 37}{space 1}   -0.67{col 46}{space 3}0.502{col 54}{space 4}-.0947573{col 67}{space 3}  .046605
{txt}{space 3}b_h_wrong {c |}{col 14}{res}{space 2}-.0285963{col 26}{space 2} .0552191{col 37}{space 1}   -0.52{col 46}{space 3}0.605{col 54}{space 4}-.1376645{col 67}{space 3}  .080472
{txt}c_tf~_hc_hc2 {c |}{col 14}{res}{space 2}-.0258833{col 26}{space 2} .0540877{col 37}{space 1}   -0.48{col 46}{space 3}0.633{col 54}{space 4}-.1327167{col 67}{space 3}   .08095
{txt}c_tfull_hc~l {c |}{col 14}{res}{space 2}-.0413104{col 26}{space 2}   .07106{col 37}{space 1}   -0.58{col 46}{space 3}0.562{col 54}{space 4}-.1816673{col 67}{space 3} .0990466
{txt}c_tfull_hc~s {c |}{col 14}{res}{space 2} .1764079{col 26}{space 2} .0925066{col 37}{space 1}    1.91{col 46}{space 3}0.058{col 54}{space 4}-.0063102{col 67}{space 3}  .359126
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2}-.2342221{col 26}{space 2} .1781107{col 37}{space 1}   -1.32{col 46}{space 3}0.190{col 54}{space 4}-.5860244{col 67}{space 3} .1175802
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2}-.0327744{col 26}{space 2} .0306807{col 37}{space 1}   -1.07{col 46}{space 3}0.287{col 54}{space 4}-.0933745{col 67}{space 3} .0278257
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2}-.0808569{col 26}{space 2} .0908141{col 37}{space 1}   -0.89{col 46}{space 3}0.375{col 54}{space 4}-.2602319{col 67}{space 3}  .098518
{txt}c_treatful.. {c |}{col 14}{res}{space 2} .0877652{col 26}{space 2} .0785383{col 37}{space 1}    1.12{col 46}{space 3}0.265{col 54}{space 4}-.0673629{col 67}{space 3} .2428933
{txt}c_treatful.. {c |}{col 14}{res}{space 2} .0012904{col 26}{space 2} .0774821{col 37}{space 1}    0.02{col 46}{space 3}0.987{col 54}{space 4}-.1517513{col 67}{space 3} .1543322
{txt}c_treatful.. {c |}{col 14}{res}{space 2}-.1086958{col 26}{space 2} .0784823{col 37}{space 1}   -1.38{col 46}{space 3}0.168{col 54}{space 4}-.2637131{col 67}{space 3} .0463216
{txt}c_treatful.. {c |}{col 14}{res}{space 2} .2032702{col 26}{space 2}  .309812{col 37}{space 1}    0.66{col 46}{space 3}0.513{col 54}{space 4} -.408667{col 67}{space 3} .8152075
{txt}c_treatful.. {c |}{col 14}{res}{space 2} .0333151{col 26}{space 2} .0363178{col 37}{space 1}    0.92{col 46}{space 3}0.360{col 54}{space 4}-.0384194{col 67}{space 3} .1050495
{txt}c_treatful.. {c |}{col 14}{res}{space 2}-.0210894{col 26}{space 2} .0924185{col 37}{space 1}   -0.23{col 46}{space 3}0.820{col 54}{space 4}-.2036334{col 67}{space 3} .1614545
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} .9772476{col 26}{space 2} .0591443{col 37}{space 1}   16.52{col 46}{space 3}0.000{col 54}{space 4} .8604265{col 67}{space 3} 1.094069
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

added scalar:
              e(meanb) =  {res}.84

{txt}added scalar:
              e(meane) =  {res}.952

{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}       187
{txt}{col 49}F({res}  14{txt},{res}    157{txt}){col 67}= {res}      1.29
{txt}{col 49}Prob > F{col 67}= {res}    0.2177
{txt}{col 49}R-squared{col 67}= {res}    0.1847
{txt}{col 49}Adj R-squared{col 67}= {res}    0.0341
{txt}{col 49}Root MSE{col 67}= {res}    0.4041

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}e_h_pressure{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2}-.1080896{col 26}{space 2} .0592461{col 37}{space 1}   -1.82{col 46}{space 3}0.070{col 54}{space 4} -.225112{col 67}{space 3} .0089327
{txt}b_h_pressure {c |}{col 14}{res}{space 2} .0176635{col 26}{space 2} .0660055{col 37}{space 1}    0.27{col 46}{space 3}0.789{col 54}{space 4}-.1127099{col 67}{space 3} .1480369
{txt}c_tf~_hc_hc2 {c |}{col 14}{res}{space 2}-.0729566{col 26}{space 2} .1177896{col 37}{space 1}   -0.62{col 46}{space 3}0.537{col 54}{space 4}-.3056133{col 67}{space 3}    .1597
{txt}c_tfull_hc~l {c |}{col 14}{res}{space 2} .0033313{col 26}{space 2} .1235716{col 37}{space 1}    0.03{col 46}{space 3}0.979{col 54}{space 4} -.240746{col 67}{space 3} .2474087
{txt}c_tfull_hc~s {c |}{col 14}{res}{space 2} .1040986{col 26}{space 2} .1379126{col 37}{space 1}    0.75{col 46}{space 3}0.451{col 54}{space 4}-.1683048{col 67}{space 3}  .376502
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2}-.2305934{col 26}{space 2} .3170725{col 37}{space 1}   -0.73{col 46}{space 3}0.468{col 54}{space 4}-.8568716{col 67}{space 3} .3956848
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2} .0395663{col 26}{space 2} .0446578{col 37}{space 1}    0.89{col 46}{space 3}0.377{col 54}{space 4}-.0486413{col 67}{space 3} .1277739
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2}-.1530559{col 26}{space 2} .1410623{col 37}{space 1}   -1.09{col 46}{space 3}0.280{col 54}{space 4}-.4316806{col 67}{space 3} .1255687
{txt}c_treatful.. {c |}{col 14}{res}{space 2} .0625357{col 26}{space 2} .1618203{col 37}{space 1}    0.39{col 46}{space 3}0.700{col 54}{space 4}  -.25709{col 67}{space 3} .3821613
{txt}c_treatful.. {c |}{col 14}{res}{space 2} .0093929{col 26}{space 2} .1671727{col 37}{space 1}    0.06{col 46}{space 3}0.955{col 54}{space 4}-.3208048{col 67}{space 3} .3395906
{txt}c_treatful.. {c |}{col 14}{res}{space 2}-.1488004{col 26}{space 2} .1766797{col 37}{space 1}   -0.84{col 46}{space 3}0.401{col 54}{space 4}-.4977761{col 67}{space 3} .2001754
{txt}c_treatful.. {c |}{col 14}{res}{space 2}  .402354{col 26}{space 2} .7236169{col 37}{space 1}    0.56{col 46}{space 3}0.579{col 54}{space 4}-1.026926{col 67}{space 3} 1.831634
{txt}c_treatful.. {c |}{col 14}{res}{space 2} .0249245{col 26}{space 2} .0641458{col 37}{space 1}    0.39{col 46}{space 3}0.698{col 54}{space 4}-.1017755{col 67}{space 3} .1516246
{txt}c_treatful.. {c |}{col 14}{res}{space 2} .2174901{col 26}{space 2} .1542196{col 37}{space 1}    1.41{col 46}{space 3}0.160{col 54}{space 4}-.0871228{col 67}{space 3} .5221031
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} .8304941{col 26}{space 2} .0515755{col 37}{space 1}   16.10{col 46}{space 3}0.000{col 54}{space 4} .7286228{col 67}{space 3} .9323655
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

added scalar:
              e(meanb) =  {res}.47

{txt}added scalar:
              e(meane) =  {res}.842
{txt}
{com}.                 
.         local y = 4
{txt}
{com}.         foreach x in `ctzpressure_nobase_ns' {c -(}
{txt}  2{com}.                 areg  e_`x' `var' `e_controls_tfull_hc' ``var'_hc_int_e_controls' if uniquehc == 1, robust a(district)
{txt}  3{com}.                 
.                 qui sum e_`x' if `var' == 0
{txt}  4{com}.                 local meane_`x' r(mean)
{txt}  5{com}.                 local meane_`x' = string(`meane_`x'',"%9.3fc")
{txt}  6{com}.                 
.                 estadd scalar meane = `meane_`x''
{txt}  7{com}.                 
.                 estimates store m`y'
{txt}  8{com}.                 
.                 {c )-}
{res}
{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}       187
{txt}{col 49}F({res}  13{txt},{res}    158{txt}){col 67}= {res}      1.60
{txt}{col 49}Prob > F{col 67}= {res}    0.0903
{txt}{col 49}R-squared{col 67}= {res}    0.1401
{txt}{col 49}Adj R-squared{col 67}= {res}   -0.0123
{txt}{col 49}Root MSE{col 67}= {res}    0.4896

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}e_h_hw_rep~t{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2}-.0037073{col 26}{space 2} .0714535{col 37}{space 1}   -0.05{col 46}{space 3}0.959{col 54}{space 4}-.1448346{col 67}{space 3} .1374199
{txt}c_tf~_hc_hc2 {c |}{col 14}{res}{space 2} .0354164{col 26}{space 2} .1404367{col 37}{space 1}    0.25{col 46}{space 3}0.801{col 54}{space 4}-.2419591{col 67}{space 3} .3127918
{txt}c_tfull_hc~l {c |}{col 14}{res}{space 2} .1854774{col 26}{space 2} .1571386{col 37}{space 1}    1.18{col 46}{space 3}0.240{col 54}{space 4}-.1248858{col 67}{space 3} .4958406
{txt}c_tfull_hc~s {c |}{col 14}{res}{space 2} .3983065{col 26}{space 2} .1551875{col 37}{space 1}    2.57{col 46}{space 3}0.011{col 54}{space 4} .0917969{col 67}{space 3} .7048161
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2}-.1218404{col 26}{space 2} .5081034{col 37}{space 1}   -0.24{col 46}{space 3}0.811{col 54}{space 4}-1.125391{col 67}{space 3} .8817105
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2}-.0521826{col 26}{space 2}  .053273{col 37}{space 1}   -0.98{col 46}{space 3}0.329{col 54}{space 4}-.1574017{col 67}{space 3} .0530365
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2} .1552675{col 26}{space 2} .1689493{col 37}{space 1}    0.92{col 46}{space 3}0.359{col 54}{space 4} -.178423{col 67}{space 3} .4889579
{txt}c_treatful.. {c |}{col 14}{res}{space 2}-.2080708{col 26}{space 2}  .188246{col 37}{space 1}   -1.11{col 46}{space 3}0.271{col 54}{space 4} -.579874{col 67}{space 3} .1637324
{txt}c_treatful.. {c |}{col 14}{res}{space 2}-.2839003{col 26}{space 2} .1953559{col 37}{space 1}   -1.45{col 46}{space 3}0.148{col 54}{space 4}-.6697462{col 67}{space 3} .1019457
{txt}c_treatful.. {c |}{col 14}{res}{space 2}-.4117372{col 26}{space 2} .2034675{col 37}{space 1}   -2.02{col 46}{space 3}0.045{col 54}{space 4}-.8136042{col 67}{space 3}-.0098702
{txt}c_treatful.. {c |}{col 14}{res}{space 2} .4309435{col 26}{space 2} .8422736{col 37}{space 1}    0.51{col 46}{space 3}0.610{col 54}{space 4}-1.232624{col 67}{space 3} 2.094511
{txt}c_treatful.. {c |}{col 14}{res}{space 2} .1150977{col 26}{space 2} .0837354{col 37}{space 1}    1.37{col 46}{space 3}0.171{col 54}{space 4}-.0502875{col 67}{space 3} .2804829
{txt}c_treatful.. {c |}{col 14}{res}{space 2}-.3165487{col 26}{space 2} .2245123{col 37}{space 1}   -1.41{col 46}{space 3}0.161{col 54}{space 4} -.759981{col 67}{space 3} .1268837
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} .3822217{col 26}{space 2} .0491605{col 37}{space 1}    7.77{col 46}{space 3}0.000{col 54}{space 4} .2851253{col 67}{space 3} .4793182
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

added scalar:
              e(meane) =  {res}.381
{txt}
{com}.         
.         # delimit;
{txt}delimiter now ;
{com}.                 esttab m1 m2 m3 m4
>         using "${c -(}tables{c )-}/TableI5.tex", b(%5.3f) se(%5.3f)
>                 title(Perceived citizen pressure index non-standardized -- Subcomponents)
>                 keep(`var' _cons)
>                 varlabels (`var' "Full treatment" _cons "Constant")     
>                 starlevels(* .10 ** .05 *** .01)                
>                 mtitles("\textbf{c -(}\begin{c -(}tabular{c )-}[c]{c -(}@{c -(}{c )-}c@{c -(}{c )-}{c )-}Perceived\\citizen\\pressure\\index\end{c -(}tabular{c )-}{c )-}"
>                                 "\begin{c -(}tabular{c )-}[c]{c -(}@{c -(}{c )-}c@{c -(}{c )-}{c )-}Community\\would find out:\\staff no effort\end{c -(}tabular{c )-}"
>                                 "\begin{c -(}tabular{c )-}[c]{c -(}@{c -(}{c )-}c@{c -(}{c )-}{c )-}Community\\would find out:\\staff absent\end{c -(}tabular{c )-}"
>                                 "\begin{c -(}tabular{c )-}[c]{c -(}@{c -(}{c )-}c@{c -(}{c )-}{c )-}Any report\\of staff\\wrongdoing\\ in past 12 months\end{c -(}tabular{c )-}")
>                 stats(N r2 meane meanb, labels("N" "R$^{c -(}2{c )-}$" "Mean control group endline" "Mean control group baseline") fmt(%9.0fc %9.3fc)) label booktabs nonotes replace
>         
>         ;
{res}{txt}(output written to {browse  `"/Users/fredericcochinard/Dropbox/ACT_Health_JOP_replication_file/3.Tables and Figures/Tables/TableI5.tex"'})

{com}.                 # delimit cr
{txt}delimiter now cr
{com}.                         
.         ****************************
.         * Table/Figure Utilization *
.         ****************************
.         
.         * We work on the coefficient plot for the utilization indice
.         
.         * At endline:
.         
.         eststo clear
{txt}
{com}.         
.         local y = 1
{txt}
{com}.         foreach x in `utilization' {c -(}
{txt}  2{com}.                 areg  e_`x' `var' b_`x' b_`x'_d `e_controls_tfull' ``var'_int_e_controls', robust cl(hc_id) a(district)
{txt}  3{com}.                 
.                 local p_`y' = (2 * ttail(e(df_r), abs(_b[`var']/_se[`var'])))
{txt}  4{com}.                 
.                 estimates store m`y'
{txt}  5{com}.                 local y = `y' + 1
{txt}  6{com}.                 {c )-}
{txt}note: b_urate_z_d omitted because of collinearity
{res}
{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}     7,288
{txt}{col 49}F({res}  14{txt},{res}    186{txt}){col 67}= {res}     58.65
{txt}{col 49}Prob > F{col 67}= {res}    0.0000
{txt}{col 49}R-squared{col 67}= {res}    0.2303
{txt}{col 49}Adj R-squared{col 67}= {res}    0.2272
{txt}{col 49}Root MSE{col 67}= {res}    0.6613

{txt}{ralign 78:(Std. Err. adjusted for {res:187} clusters in hc_id)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}   e_urate_z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2} .0271978{col 26}{space 2} .0217596{col 37}{space 1}    1.25{col 46}{space 3}0.213{col 54}{space 4}-.0157296{col 67}{space 3} .0701252
{txt}{space 3}b_urate_z {c |}{col 14}{res}{space 2} .3547532{col 26}{space 2} .0146163{col 37}{space 1}   24.27{col 46}{space 3}0.000{col 54}{space 4} .3259182{col 67}{space 3} .3835882
{txt}{space 1}b_urate_z_d {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 1}c_tfull_hc2 {c |}{col 14}{res}{space 2} .0272114{col 26}{space 2}  .042466{col 37}{space 1}    0.64{col 46}{space 3}0.522{col 54}{space 4}-.0565655{col 67}{space 3} .1109884
{txt}c_tfull_b_~l {c |}{col 14}{res}{space 2} .0355857{col 26}{space 2} .0475296{col 37}{space 1}    0.75{col 46}{space 3}0.455{col 54}{space 4}-.0581806{col 67}{space 3} .1293521
{txt}c_tfull_b_~s {c |}{col 14}{res}{space 2} .0450058{col 26}{space 2} .0491821{col 37}{space 1}    0.92{col 46}{space 3}0.361{col 54}{space 4}-.0520205{col 67}{space 3} .1420322
{txt}c_tfull_b_~d {c |}{col 14}{res}{space 2} .1640347{col 26}{space 2} .0583979{col 37}{space 1}    2.81{col 46}{space 3}0.006{col 54}{space 4} .0488273{col 67}{space 3} .2792422
{txt}c_tfull_ed~r {c |}{col 14}{res}{space 2}-.0127052{col 26}{space 2} .0028397{col 37}{space 1}   -4.47{col 46}{space 3}0.000{col 54}{space 4}-.0183074{col 67}{space 3} -.007103
{txt}c_tfull_b_~x {c |}{col 14}{res}{space 2}-.0388435{col 26}{space 2} .0130071{col 37}{space 1}   -2.99{col 46}{space 3}0.003{col 54}{space 4}-.0645039{col 67}{space 3}-.0131832
{txt}c_trea~l_hc2 {c |}{col 14}{res}{space 2}-.0204218{col 26}{space 2} .0519747{col 37}{space 1}   -0.39{col 46}{space 3}0.695{col 54}{space 4}-.1229576{col 67}{space 3}  .082114
{txt}c_treatful.. {c |}{col 14}{res}{space 2}-.0229078{col 26}{space 2} .0565582{col 37}{space 1}   -0.41{col 46}{space 3}0.686{col 54}{space 4}-.1344858{col 67}{space 3} .0886702
{txt}c_treatful.. {c |}{col 14}{res}{space 2}-.0293108{col 26}{space 2} .0701385{col 37}{space 1}   -0.42{col 46}{space 3}0.677{col 54}{space 4}  -.16768{col 67}{space 3} .1090585
{txt}c_treatful.. {c |}{col 14}{res}{space 2}-.0347969{col 26}{space 2} .0805983{col 37}{space 1}   -0.43{col 46}{space 3}0.666{col 54}{space 4}-.1938012{col 67}{space 3} .1242075
{txt}c_treatful.. {c |}{col 14}{res}{space 2}  .002689{col 26}{space 2} .0041503{col 37}{space 1}    0.65{col 46}{space 3}0.518{col 54}{space 4}-.0054988{col 67}{space 3} .0108768
{txt}c_treatful.. {c |}{col 14}{res}{space 2}-.0121644{col 26}{space 2} .0189232{col 37}{space 1}   -0.64{col 46}{space 3}0.521{col 54}{space 4}-.0494962{col 67}{space 3} .0251673
{txt}{space 7}_cons {c |}{col 14}{res}{space 2}-.0197344{col 26}{space 2} .0155195{col 37}{space 1}   -1.27{col 46}{space 3}0.205{col 54}{space 4}-.0503512{col 67}{space 3} .0108824
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)
note: b_hf_otherpract_z_d omitted because of collinearity
{res}
{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}     7,288
{txt}{col 49}F({res}  14{txt},{res}    186{txt}){col 67}= {res}     54.35
{txt}{col 49}Prob > F{col 67}= {res}    0.0000
{txt}{col 49}R-squared{col 67}= {res}    0.1778
{txt}{col 49}Adj R-squared{col 67}= {res}    0.1745
{txt}{col 49}Root MSE{col 67}= {res}    0.9213

{txt}{ralign 78:(Std. Err. adjusted for {res:187} clusters in hc_id)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}e_hf_other~z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2} .0336934{col 26}{space 2} .0322338{col 37}{space 1}    1.05{col 46}{space 3}0.297{col 54}{space 4}-.0298975{col 67}{space 3} .0972842
{txt}b_hf_other~z {c |}{col 14}{res}{space 2}  .293668{col 26}{space 2} .0151091{col 37}{space 1}   19.44{col 46}{space 3}0.000{col 54}{space 4} .2638607{col 67}{space 3} .3234753
{txt}b_hf_oth~z_d {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 1}c_tfull_hc2 {c |}{col 14}{res}{space 2} .0131892{col 26}{space 2} .0557374{col 37}{space 1}    0.24{col 46}{space 3}0.813{col 54}{space 4}-.0967695{col 67}{space 3} .1231479
{txt}c_tfull_b_~l {c |}{col 14}{res}{space 2} .0978421{col 26}{space 2} .0690826{col 37}{space 1}    1.42{col 46}{space 3}0.158{col 54}{space 4}-.0384441{col 67}{space 3} .2341283
{txt}c_tfull_b_~s {c |}{col 14}{res}{space 2}-.0412969{col 26}{space 2} .0803773{col 37}{space 1}   -0.51{col 46}{space 3}0.608{col 54}{space 4}-.1998653{col 67}{space 3} .1172714
{txt}c_tfull_b_~d {c |}{col 14}{res}{space 2} .2732562{col 26}{space 2} .0778489{col 37}{space 1}    3.51{col 46}{space 3}0.001{col 54}{space 4} .1196759{col 67}{space 3} .4268365
{txt}c_tfull_ed~r {c |}{col 14}{res}{space 2}-.0120742{col 26}{space 2} .0038019{col 37}{space 1}   -3.18{col 46}{space 3}0.002{col 54}{space 4}-.0195747{col 67}{space 3}-.0045738
{txt}c_tfull_b_~x {c |}{col 14}{res}{space 2}-.0992893{col 26}{space 2} .0175235{col 37}{space 1}   -5.67{col 46}{space 3}0.000{col 54}{space 4}-.1338596{col 67}{space 3}-.0647191
{txt}c_trea~l_hc2 {c |}{col 14}{res}{space 2} -.042846{col 26}{space 2}  .074617{col 37}{space 1}   -0.57{col 46}{space 3}0.567{col 54}{space 4}-.1900504{col 67}{space 3} .1043584
{txt}c_treatful.. {c |}{col 14}{res}{space 2}-.1067429{col 26}{space 2} .0846198{col 37}{space 1}   -1.26{col 46}{space 3}0.209{col 54}{space 4}-.2736808{col 67}{space 3}  .060195
{txt}c_treatful.. {c |}{col 14}{res}{space 2} .0579035{col 26}{space 2} .1091177{col 37}{space 1}    0.53{col 46}{space 3}0.596{col 54}{space 4} -.157364{col 67}{space 3} .2731709
{txt}c_treatful.. {c |}{col 14}{res}{space 2}-.0673973{col 26}{space 2} .1099361{col 37}{space 1}   -0.61{col 46}{space 3}0.541{col 54}{space 4}-.2842792{col 67}{space 3} .1494845
{txt}c_treatful.. {c |}{col 14}{res}{space 2} .0018037{col 26}{space 2} .0056034{col 37}{space 1}    0.32{col 46}{space 3}0.748{col 54}{space 4}-.0092506{col 67}{space 3}  .012858
{txt}c_treatful.. {c |}{col 14}{res}{space 2}-.0024731{col 26}{space 2} .0253432{col 37}{space 1}   -0.10{col 46}{space 3}0.922{col 54}{space 4}-.0524702{col 67}{space 3} .0475239
{txt}{space 7}_cons {c |}{col 14}{res}{space 2}-.0009789{col 26}{space 2} .0232235{col 37}{space 1}   -0.04{col 46}{space 3}0.966{col 54}{space 4}-.0467941{col 67}{space 3} .0448364
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)
note: b_visit_hf_z_d omitted because of collinearity
{res}
{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}     7,288
{txt}{col 49}F({res}  14{txt},{res}    186{txt}){col 67}= {res}     55.60
{txt}{col 49}Prob > F{col 67}= {res}    0.0000
{txt}{col 49}R-squared{col 67}= {res}    0.2838
{txt}{col 49}Adj R-squared{col 67}= {res}    0.2810
{txt}{col 49}Root MSE{col 67}= {res}    0.8391

{txt}{ralign 78:(Std. Err. adjusted for {res:187} clusters in hc_id)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}e_visit_hf_z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2}-.0006323{col 26}{space 2} .0266035{col 37}{space 1}   -0.02{col 46}{space 3}0.981{col 54}{space 4}-.0531157{col 67}{space 3} .0518511
{txt}b_visit_hf_z {c |}{col 14}{res}{space 2} .3989802{col 26}{space 2} .0162418{col 37}{space 1}   24.57{col 46}{space 3}0.000{col 54}{space 4} .3669384{col 67}{space 3}  .431022
{txt}b_visit_~z_d {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 1}c_tfull_hc2 {c |}{col 14}{res}{space 2} .0649517{col 26}{space 2}  .051911{col 37}{space 1}    1.25{col 46}{space 3}0.212{col 54}{space 4}-.0374582{col 67}{space 3} .1673617
{txt}c_tfull_b_~l {c |}{col 14}{res}{space 2} .0411235{col 26}{space 2} .0646896{col 37}{space 1}    0.64{col 46}{space 3}0.526{col 54}{space 4}-.0864962{col 67}{space 3} .1687432
{txt}c_tfull_b_~s {c |}{col 14}{res}{space 2} .0503879{col 26}{space 2} .0615656{col 37}{space 1}    0.82{col 46}{space 3}0.414{col 54}{space 4}-.0710687{col 67}{space 3} .1718445
{txt}c_tfull_b_~d {c |}{col 14}{res}{space 2} .1366688{col 26}{space 2} .0689446{col 37}{space 1}    1.98{col 46}{space 3}0.049{col 54}{space 4} .0006548{col 67}{space 3} .2726828
{txt}c_tfull_ed~r {c |}{col 14}{res}{space 2}-.0189578{col 26}{space 2} .0032572{col 37}{space 1}   -5.82{col 46}{space 3}0.000{col 54}{space 4}-.0253836{col 67}{space 3}-.0125321
{txt}c_tfull_b_~x {c |}{col 14}{res}{space 2}-.0433967{col 26}{space 2} .0164225{col 37}{space 1}   -2.64{col 46}{space 3}0.009{col 54}{space 4}-.0757951{col 67}{space 3}-.0109984
{txt}c_trea~l_hc2 {c |}{col 14}{res}{space 2}-.0294931{col 26}{space 2} .0638012{col 37}{space 1}   -0.46{col 46}{space 3}0.644{col 54}{space 4}-.1553601{col 67}{space 3} .0963739
{txt}c_treatful.. {c |}{col 14}{res}{space 2} .0162799{col 26}{space 2} .0755725{col 37}{space 1}    0.22{col 46}{space 3}0.830{col 54}{space 4}-.1328095{col 67}{space 3} .1653693
{txt}c_treatful.. {c |}{col 14}{res}{space 2}-.0219046{col 26}{space 2} .0836309{col 37}{space 1}   -0.26{col 46}{space 3}0.794{col 54}{space 4}-.1868916{col 67}{space 3} .1430823
{txt}c_treatful.. {c |}{col 14}{res}{space 2}-.0457847{col 26}{space 2} .0898224{col 37}{space 1}   -0.51{col 46}{space 3}0.611{col 54}{space 4}-.2229865{col 67}{space 3}  .131417
{txt}c_treatful.. {c |}{col 14}{res}{space 2}  .002508{col 26}{space 2} .0052419{col 37}{space 1}    0.48{col 46}{space 3}0.633{col 54}{space 4}-.0078332{col 67}{space 3} .0128492
{txt}c_treatful.. {c |}{col 14}{res}{space 2}  .015397{col 26}{space 2} .0227279{col 37}{space 1}    0.68{col 46}{space 3}0.499{col 54}{space 4}-.0294405{col 67}{space 3} .0602346
{txt}{space 7}_cons {c |}{col 14}{res}{space 2}-.0167229{col 26}{space 2}  .019598{col 37}{space 1}   -0.85{col 46}{space 3}0.395{col 54}{space 4}-.0553858{col 67}{space 3} .0219399
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{com}.                 
.         local y = 4
{txt}
{com}.         foreach x in `utilization_vacc' {c -(}
{txt}  2{com}.                 areg  e_`x' `var' b_`x' b_`x'_d `e_controls_tfull_vace'  `tfulli_vace_e_controls', robust cl(hc_id) a(district)
{txt}  3{com}.                 
.                 local p_`y' = (2 * ttail(e(df_r), abs(_b[`var']/_se[`var'])))
{txt}  4{com}.                 
.                 estimates store m`y'
{txt}  5{com}.                 {c )-}
{txt}note: b_immunization_z_d omitted because of collinearity
{res}
{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}     4,212
{txt}{col 49}F({res}  14{txt},{res}    186{txt}){col 67}= {res}      6.07
{txt}{col 49}Prob > F{col 67}= {res}    0.0000
{txt}{col 49}R-squared{col 67}= {res}    0.0574
{txt}{col 49}Adj R-squared{col 67}= {res}    0.0509
{txt}{col 49}Root MSE{col 67}= {res}    0.9620

{txt}{ralign 78:(Std. Err. adjusted for {res:187} clusters in hc_id)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}e_immuniza~z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2} .0544418{col 26}{space 2} .0351618{col 37}{space 1}    1.55{col 46}{space 3}0.123{col 54}{space 4}-.0149253{col 67}{space 3}  .123809
{txt}b_immuniza~z {c |}{col 14}{res}{space 2} .0544131{col 26}{space 2} .0172803{col 37}{space 1}    3.15{col 46}{space 3}0.002{col 54}{space 4} .0203224{col 67}{space 3} .0885037
{txt}b_immuni~z_d {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
c~l_vace_hc2 {c |}{col 14}{res}{space 2}-.0309602{col 26}{space 2} .0536285{col 37}{space 1}   -0.58{col 46}{space 3}0.564{col 54}{space 4}-.1367586{col 67}{space 3} .0748381
{txt}c_tfull_va.. {c |}{col 14}{res}{space 2}-.0095563{col 26}{space 2} .0794961{col 37}{space 1}   -0.12{col 46}{space 3}0.904{col 54}{space 4}-.1663862{col 67}{space 3} .1472735
{txt}c_tfull_va.. {c |}{col 14}{res}{space 2} .0388142{col 26}{space 2}   .09815{col 37}{space 1}    0.40{col 46}{space 3}0.693{col 54}{space 4}-.1548162{col 67}{space 3} .2324445
{txt}c_tfull_va.. {c |}{col 14}{res}{space 2}-.0032558{col 26}{space 2} .0791762{col 37}{space 1}   -0.04{col 46}{space 3}0.967{col 54}{space 4}-.1594545{col 67}{space 3}  .152943
{txt}c_tfull_va.. {c |}{col 14}{res}{space 2} .0117388{col 26}{space 2} .0051134{col 37}{space 1}    2.30{col 46}{space 3}0.023{col 54}{space 4} .0016511{col 67}{space 3} .0218265
{txt}c_tfull_va.. {c |}{col 14}{res}{space 2} .0966695{col 26}{space 2}   .02069{col 37}{space 1}    4.67{col 46}{space 3}0.000{col 54}{space 4} .0558522{col 67}{space 3} .1374868
{txt}~li_vace_hc2 {c |}{col 14}{res}{space 2} .0783076{col 26}{space 2} .0707944{col 37}{space 1}    1.11{col 46}{space 3}0.270{col 54}{space 4}-.0613556{col 67}{space 3} .2179708
{txt}c_tfulli_v.. {c |}{col 14}{res}{space 2}-.0196535{col 26}{space 2} .0965616{col 37}{space 1}   -0.20{col 46}{space 3}0.839{col 54}{space 4}-.2101502{col 67}{space 3} .1708431
{txt}c_tfulli_v.. {c |}{col 14}{res}{space 2}-.0360677{col 26}{space 2} .1156364{col 37}{space 1}   -0.31{col 46}{space 3}0.755{col 54}{space 4}-.2641952{col 67}{space 3} .1920597
{txt}c_tfulli_v.. {c |}{col 14}{res}{space 2}  .040478{col 26}{space 2} .1216507{col 37}{space 1}    0.33{col 46}{space 3}0.740{col 54}{space 4}-.1995145{col 67}{space 3} .2804706
{txt}c_tfulli_v.. {c |}{col 14}{res}{space 2}-.0026295{col 26}{space 2} .0076485{col 37}{space 1}   -0.34{col 46}{space 3}0.731{col 54}{space 4}-.0177184{col 67}{space 3} .0124594
{txt}c_tfulli_v.. {c |}{col 14}{res}{space 2}-.0371019{col 26}{space 2} .0304941{col 37}{space 1}   -1.22{col 46}{space 3}0.225{col 54}{space 4}-.0972606{col 67}{space 3} .0230568
{txt}{space 7}_cons {c |}{col 14}{res}{space 2}-.0111054{col 26}{space 2} .0247443{col 37}{space 1}   -0.45{col 46}{space 3}0.654{col 54}{space 4}-.0599209{col 67}{space 3}   .03771
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{com}.                 
.         * We create the adjusted p-value following the Benjamini-Hochberg methodology 
.         
.         local ps `p_2'
{txt}
{com}.         forvalues x = 3/`y' {c -(}
{txt}  2{com}.                 local ps `ps' \ `p_`x''
{txt}  3{com}.                 {c )-}
{txt}
{com}. 
.         matrix mat = (`ps')
{txt}
{com}.                 
.         * We need to rank the p-value, transpose it and transfer it to local
.         
.         matsort mat 1 "up"
{txt}
{com}.         
.         mat ps_mat = mat'
{txt}
{com}.         
.         mat list ps_mat
{res}
{txt}ps_mat[1,3]
           r3         r1         r2
c1 {res} .12324391  .29725037  .98106301
{reset}
{com}.         
.         local ps_rank
{txt}
{com}.         
.         forvalues z = 1/`y' {c -(}
{txt}  2{com}.                 local x = ps_mat[1,`z']
{txt}  3{com}.                 local ps_rank `ps_rank' `x'
{txt}  4{com}.                 {c )-}
{txt}
{com}.                 
.         di "`ps_rank'"
{res}.1232439081191276 .2972503667843401 .9810630072640028 .
{txt}
{com}.         
.         * We count the number of tests (numerator)
.         
.         local num_p = `y' - 1
{txt}
{com}.         
.         * We calculate the BH value
.         
.         local z = 0
{txt}
{com}.         foreach i of local ps_rank {c -(}
{txt}  2{com}.                 local z = `z' + 1 
{txt}  3{com}.                 local adj_p`z' = (`i' * `num_p') / `z'
{txt}  4{com}.                 {c )-}
{txt}
{com}.                 
.         * We compare it according to the rank and eventually replace it
.         
.         forvalues r = 1/`y' {c -(}
{txt}  2{com}.         local d = `y' - 1
{txt}  3{com}.         forvalues z = 1/`d' {c -(}
{txt}  4{com}.                 local v = `z' + 1
{txt}  5{com}.                         if `adj_p`z'' >= `adj_p`v'' {c -(}
{txt}  6{com}.                                 local adj_p`z' `adj_p`v''
{txt}  7{com}.                                 {c )-}
{txt}  8{com}.                         {c )-}
{txt}  9{com}.                         {c )-}
{txt}
{com}.         
.         * We store it in the estimator
.         
.         local z = 0
{txt}
{com}.         foreach i of local ps_rank {c -(}
{txt}  2{com}.                 local z = `z' + 1 
{txt}  3{com}.                 forvalues j = 2/`y' {c -(}
{txt}  4{com}.                         if `i' == `p_`j'' {c -(} 
{txt}  5{com}.                         estimates restore m`j'
{txt}  6{com}.                         estadd scalar adj_p = `adj_p`z''
{txt}  7{com}.                         {c )-}
{txt}  8{com}.                 {c )-}
{txt}  9{com}.                 {c )-}
{txt}(results {stata estimates replay m4:m4} are active now)

added scalar:
              e(adj_p) =  {res}.36973172
{txt}(results {stata estimates replay m2:m2} are active now)

added scalar:
              e(adj_p) =  {res}.44587555
{txt}(results {stata estimates replay m3:m3} are active now)

added scalar:
              e(adj_p) =  {res}.98106301
{txt}
{com}.                 
.         * We include the adjusted p-value from the main outcomes index
.         
.         estimates restore m1
{txt}(results {stata estimates replay m1:m1} are active now)

{com}.         estadd scalar adj_p = 0.298

{txt}added scalar:
              e(adj_p) =  {res}.298
{txt}
{com}.         
.         ****************************************
.         * Table Utilization outcomes (endline) *
.         ****************************************
.         
.         coefplot (m1 \ m4 \ m2 \ m3), keep(`var') xline(0, lcolor(gray)) scheme(s1mono) mcolor(blue) mlcolor(blue) levels(95 90) ciopts(lcolor(blue blue) lwidth(medium thick)) grid(none) xtick(-.4 -.2 0 .2 .4) xlabel(-.4 -.2 0 .2 .4) aseq swapnames coeflabels(m1 = "{c -(}bf:Utilization index{c )-}" m4 = "Vaccination rates, children < 36 months" m2 = "% of visits to HC vs other providers" m3 = "Number of visits to HC") note("Displaying 95% and 90% confidence intervals")
{res}{txt}
{com}.         qui graph export "${c -(}Figures{c )-}/Figure4c_utilization.png", replace
{txt}
{com}.         
.         # delimit;
{txt}delimiter now ;
{com}.                 esttab m1 m4 m2 m3
>         using "${c -(}tables{c )-}/TableI6.tex", b(%5.3f) se(%5.3f)
>                 title(Utilization index -- Subcomponents)
>                 keep(`var' _cons)
>                 varlabels (`var' "Full treatment" _cons "Constant")     
>                 starlevels(* .10 ** .05 *** .01)                
>                 mtitles("\textbf{c -(}\begin{c -(}tabular{c )-}[c]{c -(}@{c -(}{c )-}c@{c -(}{c )-}{c )-}Utilization\\index\end{c -(}tabular{c )-}{c )-}"
>                                 "\begin{c -(}tabular{c )-}[c]{c -(}@{c -(}{c )-}c@{c -(}{c )-}{c )-}Vaccination rates,\\children\textless 36 months\end{c -(}tabular{c )-}"
>                                 "\begin{c -(}tabular{c )-}[c]{c -(}@{c -(}{c )-}c@{c -(}{c )-}{c )-}\% of visits to HC,\\vs. other providers\end{c -(}tabular{c )-}"
>                                 "\begin{c -(}tabular{c )-}[c]{c -(}@{c -(}{c )-}c@{c -(}{c )-}{c )-}Number of visits\\ to HC\end{c -(}tabular{c )-}")
>                 stats(N r2 adj_p, labels("N" "R$^{c -(}2{c )-}$" "Adjusted p-value (FT)") fmt(%9.0fc %9.3fc)) label booktabs nonotes replace
>         
>         ;
{res}{txt}(output written to {browse  `"/Users/fredericcochinard/Dropbox/ACT_Health_JOP_replication_file/3.Tables and Figures/Tables/TableI6.tex"'})

{com}.                 # delimit cr
{txt}delimiter now cr
{com}.         
.         ********************
.         * Non standardized *
.         ********************
.         
.         * At endline:
.         
.         eststo clear
{txt}
{com}.         
.         local y = 1
{txt}
{com}.         foreach x in `utilization_ns' {c -(}
{txt}  2{com}.                 areg  e_`x' `var' b_`x' b_`x'_d `e_controls_tfull' ``var'_int_e_controls', robust cl(hc_id) a(district)
{txt}  3{com}. 
.                 qui sum e_`x' if `var' == 0
{txt}  4{com}.                 local meane_`x' r(mean)
{txt}  5{com}.                 local meane_`x' = string(`meane_`x'',"%9.3fc")
{txt}  6{com}.                 
.                 qui sum b_`x' if `var' == 0
{txt}  7{com}.                 local meanb_`x' r(mean)
{txt}  8{com}.                 local meanb_`x' = string(`meanb_`x'',"%9.3fc")
{txt}  9{com}.                 
.                 estadd scalar meanb = `meanb_`x''
{txt} 10{com}.                 estadd scalar meane = `meane_`x''
{txt} 11{com}.                 
.                 estimates store m`y'
{txt} 12{com}.                 
.                 local y = `y' + 1
{txt} 13{com}.                 {c )-}
{txt}note: b_urate_z_d omitted because of collinearity
{res}
{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}     7,288
{txt}{col 49}F({res}  14{txt},{res}    186{txt}){col 67}= {res}     58.65
{txt}{col 49}Prob > F{col 67}= {res}    0.0000
{txt}{col 49}R-squared{col 67}= {res}    0.2303
{txt}{col 49}Adj R-squared{col 67}= {res}    0.2272
{txt}{col 49}Root MSE{col 67}= {res}    0.6613

{txt}{ralign 78:(Std. Err. adjusted for {res:187} clusters in hc_id)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}   e_urate_z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2} .0271978{col 26}{space 2} .0217596{col 37}{space 1}    1.25{col 46}{space 3}0.213{col 54}{space 4}-.0157296{col 67}{space 3} .0701252
{txt}{space 3}b_urate_z {c |}{col 14}{res}{space 2} .3547532{col 26}{space 2} .0146163{col 37}{space 1}   24.27{col 46}{space 3}0.000{col 54}{space 4} .3259182{col 67}{space 3} .3835882
{txt}{space 1}b_urate_z_d {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 1}c_tfull_hc2 {c |}{col 14}{res}{space 2} .0272114{col 26}{space 2}  .042466{col 37}{space 1}    0.64{col 46}{space 3}0.522{col 54}{space 4}-.0565655{col 67}{space 3} .1109884
{txt}c_tfull_b_~l {c |}{col 14}{res}{space 2} .0355857{col 26}{space 2} .0475296{col 37}{space 1}    0.75{col 46}{space 3}0.455{col 54}{space 4}-.0581806{col 67}{space 3} .1293521
{txt}c_tfull_b_~s {c |}{col 14}{res}{space 2} .0450058{col 26}{space 2} .0491821{col 37}{space 1}    0.92{col 46}{space 3}0.361{col 54}{space 4}-.0520205{col 67}{space 3} .1420322
{txt}c_tfull_b_~d {c |}{col 14}{res}{space 2} .1640347{col 26}{space 2} .0583979{col 37}{space 1}    2.81{col 46}{space 3}0.006{col 54}{space 4} .0488273{col 67}{space 3} .2792422
{txt}c_tfull_ed~r {c |}{col 14}{res}{space 2}-.0127052{col 26}{space 2} .0028397{col 37}{space 1}   -4.47{col 46}{space 3}0.000{col 54}{space 4}-.0183074{col 67}{space 3} -.007103
{txt}c_tfull_b_~x {c |}{col 14}{res}{space 2}-.0388435{col 26}{space 2} .0130071{col 37}{space 1}   -2.99{col 46}{space 3}0.003{col 54}{space 4}-.0645039{col 67}{space 3}-.0131832
{txt}c_trea~l_hc2 {c |}{col 14}{res}{space 2}-.0204218{col 26}{space 2} .0519747{col 37}{space 1}   -0.39{col 46}{space 3}0.695{col 54}{space 4}-.1229576{col 67}{space 3}  .082114
{txt}c_treatful.. {c |}{col 14}{res}{space 2}-.0229078{col 26}{space 2} .0565582{col 37}{space 1}   -0.41{col 46}{space 3}0.686{col 54}{space 4}-.1344858{col 67}{space 3} .0886702
{txt}c_treatful.. {c |}{col 14}{res}{space 2}-.0293108{col 26}{space 2} .0701385{col 37}{space 1}   -0.42{col 46}{space 3}0.677{col 54}{space 4}  -.16768{col 67}{space 3} .1090585
{txt}c_treatful.. {c |}{col 14}{res}{space 2}-.0347969{col 26}{space 2} .0805983{col 37}{space 1}   -0.43{col 46}{space 3}0.666{col 54}{space 4}-.1938012{col 67}{space 3} .1242075
{txt}c_treatful.. {c |}{col 14}{res}{space 2}  .002689{col 26}{space 2} .0041503{col 37}{space 1}    0.65{col 46}{space 3}0.518{col 54}{space 4}-.0054988{col 67}{space 3} .0108768
{txt}c_treatful.. {c |}{col 14}{res}{space 2}-.0121644{col 26}{space 2} .0189232{col 37}{space 1}   -0.64{col 46}{space 3}0.521{col 54}{space 4}-.0494962{col 67}{space 3} .0251673
{txt}{space 7}_cons {c |}{col 14}{res}{space 2}-.0197344{col 26}{space 2} .0155195{col 37}{space 1}   -1.27{col 46}{space 3}0.205{col 54}{space 4}-.0503512{col 67}{space 3} .0108824
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

added scalar:
              e(meanb) =  {res}-.008

{txt}added scalar:
              e(meane) =  {res}-.013
{txt}note: b_hf_otherpract_d omitted because of collinearity
{res}
{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}     7,288
{txt}{col 49}F({res}  14{txt},{res}    186{txt}){col 67}= {res}     54.35
{txt}{col 49}Prob > F{col 67}= {res}    0.0000
{txt}{col 49}R-squared{col 67}= {res}    0.1778
{txt}{col 49}Adj R-squared{col 67}= {res}    0.1745
{txt}{col 49}Root MSE{col 67}= {res}    0.1874

{txt}{ralign 78:(Std. Err. adjusted for {res:187} clusters in hc_id)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}e_hf_other~t{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2} .0068541{col 26}{space 2} .0065572{col 37}{space 1}    1.05{col 46}{space 3}0.297{col 54}{space 4}-.0060819{col 67}{space 3}   .01979
{txt}b_hf_other~t {c |}{col 14}{res}{space 2} .2509437{col 26}{space 2}  .012911{col 37}{space 1}   19.44{col 46}{space 3}0.000{col 54}{space 4} .2254729{col 67}{space 3} .2764145
{txt}b_hf_oth~t_d {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 1}c_tfull_hc2 {c |}{col 14}{res}{space 2}  .002683{col 26}{space 2} .0113384{col 37}{space 1}    0.24{col 46}{space 3}0.813{col 54}{space 4}-.0196853{col 67}{space 3} .0250514
{txt}c_tfull_b_~l {c |}{col 14}{res}{space 2} .0199035{col 26}{space 2} .0140531{col 37}{space 1}    1.42{col 46}{space 3}0.158{col 54}{space 4}-.0078205{col 67}{space 3} .0476275
{txt}c_tfull_b_~s {c |}{col 14}{res}{space 2}-.0084008{col 26}{space 2} .0163507{col 37}{space 1}   -0.51{col 46}{space 3}0.608{col 54}{space 4}-.0406576{col 67}{space 3} .0238559
{txt}c_tfull_b_~d {c |}{col 14}{res}{space 2} .0555871{col 26}{space 2} .0158364{col 37}{space 1}    3.51{col 46}{space 3}0.001{col 54}{space 4} .0243451{col 67}{space 3} .0868292
{txt}c_tfull_ed~r {c |}{col 14}{res}{space 2}-.0024562{col 26}{space 2} .0007734{col 37}{space 1}   -3.18{col 46}{space 3}0.002{col 54}{space 4} -.003982{col 67}{space 3}-.0009304
{txt}c_tfull_b_~x {c |}{col 14}{res}{space 2}-.0201979{col 26}{space 2} .0035647{col 37}{space 1}   -5.67{col 46}{space 3}0.000{col 54}{space 4}-.0272304{col 67}{space 3}-.0131655
{txt}c_trea~l_hc2 {c |}{col 14}{res}{space 2}-.0087159{col 26}{space 2}  .015179{col 37}{space 1}   -0.57{col 46}{space 3}0.567{col 54}{space 4} -.038661{col 67}{space 3} .0212291
{txt}c_treatful.. {c |}{col 14}{res}{space 2}-.0217142{col 26}{space 2} .0172138{col 37}{space 1}   -1.26{col 46}{space 3}0.209{col 54}{space 4}-.0556735{col 67}{space 3} .0122452
{txt}c_treatful.. {c |}{col 14}{res}{space 2}  .011779{col 26}{space 2} .0221973{col 37}{space 1}    0.53{col 46}{space 3}0.596{col 54}{space 4}-.0320118{col 67}{space 3} .0555698
{txt}c_treatful.. {c |}{col 14}{res}{space 2}-.0137103{col 26}{space 2} .0223637{col 37}{space 1}   -0.61{col 46}{space 3}0.541{col 54}{space 4}-.0578295{col 67}{space 3} .0304089
{txt}c_treatful.. {c |}{col 14}{res}{space 2} .0003669{col 26}{space 2} .0011399{col 37}{space 1}    0.32{col 46}{space 3}0.748{col 54}{space 4}-.0018818{col 67}{space 3} .0026156
{txt}c_treatful.. {c |}{col 14}{res}{space 2}-.0005031{col 26}{space 2} .0051554{col 37}{space 1}   -0.10{col 46}{space 3}0.922{col 54}{space 4}-.0106738{col 67}{space 3} .0096676
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} .2308329{col 26}{space 2}  .006787{col 37}{space 1}   34.01{col 46}{space 3}0.000{col 54}{space 4} .2174434{col 67}{space 3} .2442223
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

added scalar:
              e(meanb) =  {res}.377

{txt}added scalar:
              e(meane) =  {res}.326
{txt}note: b_visit_hf_d omitted because of collinearity
{res}
{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}     7,288
{txt}{col 49}F({res}  14{txt},{res}    186{txt}){col 67}= {res}     55.60
{txt}{col 49}Prob > F{col 67}= {res}    0.0000
{txt}{col 49}R-squared{col 67}= {res}    0.2838
{txt}{col 49}Adj R-squared{col 67}= {res}    0.2810
{txt}{col 49}Root MSE{col 67}= {res}   10.7823

{txt}{ralign 78:(Std. Err. adjusted for {res:187} clusters in hc_id)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}  e_visit_hf{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2}-.0081254{col 26}{space 2} .3418599{col 37}{space 1}   -0.02{col 46}{space 3}0.981{col 54}{space 4}-.6825466{col 67}{space 3} .6662958
{txt}{space 2}b_visit_hf {c |}{col 14}{res}{space 2} .4218623{col 26}{space 2} .0171733{col 37}{space 1}   24.57{col 46}{space 3}0.000{col 54}{space 4} .3879829{col 67}{space 3} .4557418
{txt}b_visit_hf_d {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 1}c_tfull_hc2 {c |}{col 14}{res}{space 2} .8346418{col 26}{space 2} .6670654{col 37}{space 1}    1.25{col 46}{space 3}0.212{col 54}{space 4}-.4813449{col 67}{space 3} 2.150628
{txt}c_tfull_b_~l {c |}{col 14}{res}{space 2} .5284445{col 26}{space 2} .8312737{col 37}{space 1}    0.64{col 46}{space 3}0.526{col 54}{space 4}-1.111492{col 67}{space 3} 2.168381
{txt}c_tfull_b_~s {c |}{col 14}{res}{space 2} .6474938{col 26}{space 2} .7911291{col 37}{space 1}    0.82{col 46}{space 3}0.414{col 54}{space 4}-.9132459{col 67}{space 3} 2.208233
{txt}c_tfull_b_~d {c |}{col 14}{res}{space 2}  1.75622{col 26}{space 2} .8859512{col 37}{space 1}    1.98{col 46}{space 3}0.049{col 54}{space 4}  .008415{col 67}{space 3} 3.504024
{txt}c_tfull_ed~r {c |}{col 14}{res}{space 2}-.2436119{col 26}{space 2} .0418555{col 37}{space 1}   -5.82{col 46}{space 3}0.000{col 54}{space 4}-.3261843{col 67}{space 3}-.1610394
{txt}c_tfull_b_~x {c |}{col 14}{res}{space 2}-.5576561{col 26}{space 2} .2110323{col 37}{space 1}   -2.64{col 46}{space 3}0.009{col 54}{space 4}-.9739807{col 67}{space 3}-.1413315
{txt}c_trea~l_hc2 {c |}{col 14}{res}{space 2}-.3789918{col 26}{space 2} .8198573{col 37}{space 1}   -0.46{col 46}{space 3}0.644{col 54}{space 4}-1.996406{col 67}{space 3} 1.238423
{txt}c_treatful.. {c |}{col 14}{res}{space 2} .2091998{col 26}{space 2} .9711203{col 37}{space 1}    0.22{col 46}{space 3}0.830{col 54}{space 4}-1.706627{col 67}{space 3} 2.125026
{txt}c_treatful.. {c |}{col 14}{res}{space 2}-.2814787{col 26}{space 2} 1.074672{col 37}{space 1}   -0.26{col 46}{space 3}0.794{col 54}{space 4}-2.401592{col 67}{space 3} 1.838635
{txt}c_treatful.. {c |}{col 14}{res}{space 2}-.5883423{col 26}{space 2} 1.154235{col 37}{space 1}   -0.51{col 46}{space 3}0.611{col 54}{space 4}-2.865417{col 67}{space 3} 1.688733
{txt}c_treatful.. {c |}{col 14}{res}{space 2}  .032228{col 26}{space 2} .0673592{col 37}{space 1}    0.48{col 46}{space 3}0.633{col 54}{space 4}-.1006581{col 67}{space 3} .1651142
{txt}c_treatful.. {c |}{col 14}{res}{space 2} .1978546{col 26}{space 2} .2920574{col 37}{space 1}    0.68{col 46}{space 3}0.499{col 54}{space 4}-.3783163{col 67}{space 3} .7740254
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} 9.127605{col 26}{space 2} .3156101{col 37}{space 1}   28.92{col 46}{space 3}0.000{col 54}{space 4}  8.50497{col 67}{space 3} 9.750241
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

added scalar:
              e(meanb) =  {res}14.186

{txt}added scalar:
              e(meane) =  {res}15.327
{txt}
{com}.                 
.         local y = 4
{txt}
{com}.         foreach x in `utilization_vacc_ns' {c -(}
{txt}  2{com}.                 areg  e_`x' `var' b_`x' `e_controls_tfull_vace'  `tfulli_vace_e_controls', robust cl(hc_id) a(district)
{txt}  3{com}.                 
.                 qui sum e_`x' if `var' == 0
{txt}  4{com}.                 local meane_`x' r(mean)
{txt}  5{com}.                 local meane_`x' = string(`meane_`x'',"%9.3fc")
{txt}  6{com}.                 
.                 qui sum b_`x' if `var' == 0
{txt}  7{com}.                 local meanb_`x' r(mean)
{txt}  8{com}.                 local meanb_`x' = string(`meanb_`x'',"%9.3fc")
{txt}  9{com}.                 
.                 estadd scalar meanb = `meanb_`x''
{txt} 10{com}.                 estadd scalar meane = `meane_`x''
{txt} 11{com}.                 
.                 estimates store m`y'
{txt} 12{com}.                 
.                 {c )-}

{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}     4,212
{txt}{col 49}F({res}  14{txt},{res}    186{txt}){col 67}= {res}      6.07
{txt}{col 49}Prob > F{col 67}= {res}    0.0000
{txt}{col 49}R-squared{col 67}= {res}    0.0574
{txt}{col 49}Adj R-squared{col 67}= {res}    0.0509
{txt}{col 49}Root MSE{col 67}= {res}    0.3816

{txt}{ralign 78:(Std. Err. adjusted for {res:187} clusters in hc_id)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}e_immuniza~n{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2} .0215953{col 26}{space 2} .0139475{col 37}{space 1}    1.55{col 46}{space 3}0.123{col 54}{space 4}-.0059204{col 67}{space 3}  .049111
{txt}b_immuniza~n {c |}{col 14}{res}{space 2} .0570455{col 26}{space 2} .0181163{col 37}{space 1}    3.15{col 46}{space 3}0.002{col 54}{space 4} .0213056{col 67}{space 3} .0927854
{txt}c~l_vace_hc2 {c |}{col 14}{res}{space 2}-.0122809{col 26}{space 2} .0212727{col 37}{space 1}   -0.58{col 46}{space 3}0.564{col 54}{space 4}-.0542477{col 67}{space 3} .0296858
{txt}c_tfull_va.. {c |}{col 14}{res}{space 2}-.0037907{col 26}{space 2} .0315335{col 37}{space 1}   -0.12{col 46}{space 3}0.904{col 54}{space 4}    -.066{col 67}{space 3} .0584186
{txt}c_tfull_va.. {c |}{col 14}{res}{space 2} .0153963{col 26}{space 2} .0389329{col 37}{space 1}    0.40{col 46}{space 3}0.693{col 54}{space 4}-.0614105{col 67}{space 3} .0922032
{txt}c_tfull_va.. {c |}{col 14}{res}{space 2}-.0012915{col 26}{space 2} .0314066{col 37}{space 1}   -0.04{col 46}{space 3}0.967{col 54}{space 4}-.0632504{col 67}{space 3} .0606675
{txt}c_tfull_va.. {c |}{col 14}{res}{space 2} .0046564{col 26}{space 2} .0020283{col 37}{space 1}    2.30{col 46}{space 3}0.023{col 54}{space 4} .0006549{col 67}{space 3} .0086579
{txt}c_tfull_va.. {c |}{col 14}{res}{space 2} .0383456{col 26}{space 2} .0082071{col 37}{space 1}    4.67{col 46}{space 3}0.000{col 54}{space 4} .0221547{col 67}{space 3} .0545365
{txt}~li_vace_hc2 {c |}{col 14}{res}{space 2} .0310621{col 26}{space 2} .0280818{col 37}{space 1}    1.11{col 46}{space 3}0.270{col 54}{space 4}-.0243378{col 67}{space 3} .0864619
{txt}c_tfulli_v.. {c |}{col 14}{res}{space 2}-.0077959{col 26}{space 2} .0383028{col 37}{space 1}   -0.20{col 46}{space 3}0.839{col 54}{space 4}-.0833598{col 67}{space 3} .0677679
{txt}c_tfulli_v.. {c |}{col 14}{res}{space 2}-.0143069{col 26}{space 2} .0458692{col 37}{space 1}   -0.31{col 46}{space 3}0.755{col 54}{space 4}-.1047976{col 67}{space 3} .0761838
{txt}c_tfulli_v.. {c |}{col 14}{res}{space 2} .0160563{col 26}{space 2} .0482549{col 37}{space 1}    0.33{col 46}{space 3}0.740{col 54}{space 4}-.0791409{col 67}{space 3} .1112535
{txt}c_tfulli_v.. {c |}{col 14}{res}{space 2} -.001043{col 26}{space 2} .0030339{col 37}{space 1}   -0.34{col 46}{space 3}0.731{col 54}{space 4}-.0070283{col 67}{space 3} .0049422
{txt}c_tfulli_v.. {c |}{col 14}{res}{space 2}-.0147171{col 26}{space 2}  .012096{col 37}{space 1}   -1.22{col 46}{space 3}0.225{col 54}{space 4}-.0385801{col 67}{space 3} .0091459
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} .7394128{col 26}{space 2} .0168192{col 37}{space 1}   43.96{col 46}{space 3}0.000{col 54}{space 4} .7062318{col 67}{space 3} .7725937
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

added scalar:
              e(meanb) =  {res}.755

{txt}added scalar:
              e(meane) =  {res}.787
{txt}
{com}.         
.         # delimit;
{txt}delimiter now ;
{com}.                 esttab m1 m4 m2 m3
>         using "${c -(}tables{c )-}/TableI7.tex", b(%5.3f) se(%5.3f)
>                 title(Utilization index non-standardized -- Subcomponents)
>                 keep(`var' _cons)
>                 varlabels (`var' "Full treatment" _cons "Constant")
>                 starlevels(* .10 ** .05 *** .01)                
>                 mtitles("\textbf{c -(}\begin{c -(}tabular{c )-}[c]{c -(}@{c -(}{c )-}c@{c -(}{c )-}{c )-}Utilization\\index\end{c -(}tabular{c )-}{c )-}"
>                                 "\begin{c -(}tabular{c )-}[c]{c -(}@{c -(}{c )-}c@{c -(}{c )-}{c )-}Vaccination rates,\\children\textless 36 months\end{c -(}tabular{c )-}"
>                                 "\begin{c -(}tabular{c )-}[c]{c -(}@{c -(}{c )-}c@{c -(}{c )-}{c )-}\% of visits to HC,\\vs. other providers\end{c -(}tabular{c )-}"
>                                 "\begin{c -(}tabular{c )-}[c]{c -(}@{c -(}{c )-}c@{c -(}{c )-}{c )-}Number of visits\\ to HC\end{c -(}tabular{c )-}")
>                 stats(N r2 meane meanb, labels("N" "R$^{c -(}2{c )-}$" "Mean control group endline" "Mean control group baseline") fmt(%9.0fc %9.3fc)) label booktabs nonotes replace
>         
>         ;
{res}{txt}(output written to {browse  `"/Users/fredericcochinard/Dropbox/ACT_Health_JOP_replication_file/3.Tables and Figures/Tables/TableI7.tex"'})

{com}.                 # delimit cr
{txt}delimiter now cr
{com}.         
.         **********************************
.         * Table/Figure Treatment quality *
.         **********************************
.         
.         * At endline:
.         
.         eststo clear
{txt}
{com}.         
.         local y = 1
{txt}
{com}.         foreach x in `treatmentqual' {c -(}
{txt}  2{com}.                 areg  e_`x' `var' b_`x' b_`x'_d `e_controls_tfull' ``var'_int_e_controls', robust cl(hc_id) a(district)
{txt}  3{com}.                 
.                 local p_`y' = (2 * ttail(e(df_r), abs(_b[`var']/_se[`var'])))
{txt}  4{com}.                 
.                 estimates store m`y'
{txt}  5{com}.                 local y = `y' + 1
{txt}  6{com}.                 {c )-}
{txt}note: b_treatqual_z_d omitted because of collinearity
{res}
{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}     7,288
{txt}{col 49}F({res}  14{txt},{res}    186{txt}){col 67}= {res}      4.28
{txt}{col 49}Prob > F{col 67}= {res}    0.0000
{txt}{col 49}R-squared{col 67}= {res}    0.1023
{txt}{col 49}Adj R-squared{col 67}= {res}    0.0988
{txt}{col 49}Root MSE{col 67}= {res}    0.3514

{txt}{ralign 78:(Std. Err. adjusted for {res:187} clusters in hc_id)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}e_treatq~l_z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2}  .069785{col 26}{space 2} .0260197{col 37}{space 1}    2.68{col 46}{space 3}0.008{col 54}{space 4} .0184532{col 67}{space 3} .1211167
{txt}b_treatq~l_z {c |}{col 14}{res}{space 2} .1020516{col 26}{space 2} .0203832{col 37}{space 1}    5.01{col 46}{space 3}0.000{col 54}{space 4} .0618396{col 67}{space 3} .1422636
{txt}b_trea~l_z_d {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 1}c_tfull_hc2 {c |}{col 14}{res}{space 2}-.0711925{col 26}{space 2} .0533025{col 37}{space 1}   -1.34{col 46}{space 3}0.183{col 54}{space 4}-.1763477{col 67}{space 3} .0339628
{txt}c_tfull_b_~l {c |}{col 14}{res}{space 2}-.0176246{col 26}{space 2} .0573484{col 37}{space 1}   -0.31{col 46}{space 3}0.759{col 54}{space 4}-.1307615{col 67}{space 3} .0955122
{txt}c_tfull_b_~s {c |}{col 14}{res}{space 2} .0773901{col 26}{space 2} .0576711{col 37}{space 1}    1.34{col 46}{space 3}0.181{col 54}{space 4}-.0363835{col 67}{space 3} .1911637
{txt}c_tfull_b_~d {c |}{col 14}{res}{space 2} .0075521{col 26}{space 2} .0235787{col 37}{space 1}    0.32{col 46}{space 3}0.749{col 54}{space 4}-.0389639{col 67}{space 3} .0540681
{txt}c_tfull_ed~r {c |}{col 14}{res}{space 2}-.0030166{col 26}{space 2} .0016109{col 37}{space 1}   -1.87{col 46}{space 3}0.063{col 54}{space 4}-.0061945{col 67}{space 3} .0001614
{txt}c_tfull_b_~x {c |}{col 14}{res}{space 2}-.0028945{col 26}{space 2} .0082814{col 37}{space 1}   -0.35{col 46}{space 3}0.727{col 54}{space 4} -.019232{col 67}{space 3}  .013443
{txt}c_trea~l_hc2 {c |}{col 14}{res}{space 2} .0622374{col 26}{space 2} .0665857{col 37}{space 1}    0.93{col 46}{space 3}0.351{col 54}{space 4} -.069123{col 67}{space 3} .1935977
{txt}c_treatful.. {c |}{col 14}{res}{space 2} .0747815{col 26}{space 2} .0673432{col 37}{space 1}    1.11{col 46}{space 3}0.268{col 54}{space 4}-.0580732{col 67}{space 3} .2076362
{txt}c_treatful.. {c |}{col 14}{res}{space 2}-.1068973{col 26}{space 2} .0730561{col 37}{space 1}   -1.46{col 46}{space 3}0.145{col 54}{space 4}-.2510224{col 67}{space 3} .0372278
{txt}c_treatful.. {c |}{col 14}{res}{space 2} .0462437{col 26}{space 2} .0326817{col 37}{space 1}    1.41{col 46}{space 3}0.159{col 54}{space 4}-.0182307{col 67}{space 3} .1107182
{txt}c_treatful.. {c |}{col 14}{res}{space 2} .0025569{col 26}{space 2} .0022228{col 37}{space 1}    1.15{col 46}{space 3}0.252{col 54}{space 4}-.0018283{col 67}{space 3} .0069421
{txt}c_treatful.. {c |}{col 14}{res}{space 2}-.0181358{col 26}{space 2} .0129051{col 37}{space 1}   -1.41{col 46}{space 3}0.162{col 54}{space 4}-.0435951{col 67}{space 3} .0073235
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} .0003386{col 26}{space 2} .0200495{col 37}{space 1}    0.02{col 46}{space 3}0.987{col 54}{space 4}-.0392151{col 67}{space 3} .0398923
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}     7,288
{txt}{col 49}F({res}  15{txt},{res}    186{txt}){col 67}= {res}      2.78
{txt}{col 49}Prob > F{col 67}= {res}    0.0006
{txt}{col 49}R-squared{col 67}= {res}    0.0230
{txt}{col 49}Adj R-squared{col 67}= {res}    0.0190
{txt}{col 49}Root MSE{col 67}= {res}    0.9720

{txt}{ralign 78:(Std. Err. adjusted for {res:187} clusters in hc_id)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}e_use_equi~z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2} .0560804{col 26}{space 2} .0358759{col 37}{space 1}    1.56{col 46}{space 3}0.120{col 54}{space 4}-.0146955{col 67}{space 3} .1268564
{txt}b_use_equi~z {c |}{col 14}{res}{space 2} .0326066{col 26}{space 2} .0124794{col 37}{space 1}    2.61{col 46}{space 3}0.010{col 54}{space 4} .0079873{col 67}{space 3}  .057226
{txt}b_use_eq~z_d {c |}{col 14}{res}{space 2}-.1048688{col 26}{space 2} .0312208{col 37}{space 1}   -3.36{col 46}{space 3}0.001{col 54}{space 4}-.1664611{col 67}{space 3}-.0432765
{txt}{space 1}c_tfull_hc2 {c |}{col 14}{res}{space 2} .0528871{col 26}{space 2} .0664161{col 37}{space 1}    0.80{col 46}{space 3}0.427{col 54}{space 4}-.0781387{col 67}{space 3} .1839128
{txt}c_tfull_b_~l {c |}{col 14}{res}{space 2} .1446908{col 26}{space 2} .0801432{col 37}{space 1}    1.81{col 46}{space 3}0.073{col 54}{space 4}-.0134157{col 67}{space 3} .3027974
{txt}c_tfull_b_~s {c |}{col 14}{res}{space 2} .0505388{col 26}{space 2} .0862479{col 37}{space 1}    0.59{col 46}{space 3}0.559{col 54}{space 4}-.1196111{col 67}{space 3} .2206887
{txt}c_tfull_b_~d {c |}{col 14}{res}{space 2}-.0777242{col 26}{space 2} .0653255{col 37}{space 1}   -1.19{col 46}{space 3}0.236{col 54}{space 4}-.2065983{col 67}{space 3} .0511499
{txt}c_tfull_ed~r {c |}{col 14}{res}{space 2} .0040129{col 26}{space 2} .0045355{col 37}{space 1}    0.88{col 46}{space 3}0.377{col 54}{space 4}-.0049346{col 67}{space 3} .0129605
{txt}c_tfull_b_~x {c |}{col 14}{res}{space 2}-.0329347{col 26}{space 2} .0195637{col 37}{space 1}   -1.68{col 46}{space 3}0.094{col 54}{space 4}-.0715299{col 67}{space 3} .0056606
{txt}c_trea~l_hc2 {c |}{col 14}{res}{space 2} .0331751{col 26}{space 2} .0833317{col 37}{space 1}    0.40{col 46}{space 3}0.691{col 54}{space 4}-.1312217{col 67}{space 3}  .197572
{txt}c_treatful.. {c |}{col 14}{res}{space 2}-.1412608{col 26}{space 2} .0953627{col 37}{space 1}   -1.48{col 46}{space 3}0.140{col 54}{space 4}-.3293923{col 67}{space 3} .0468708
{txt}c_treatful.. {c |}{col 14}{res}{space 2}-.0691535{col 26}{space 2} .1035951{col 37}{space 1}   -0.67{col 46}{space 3}0.505{col 54}{space 4} -.273526{col 67}{space 3}  .135219
{txt}c_treatful.. {c |}{col 14}{res}{space 2}  .113076{col 26}{space 2} .0716707{col 37}{space 1}    1.58{col 46}{space 3}0.116{col 54}{space 4}-.0283161{col 67}{space 3}  .254468
{txt}c_treatful.. {c |}{col 14}{res}{space 2}  .002093{col 26}{space 2} .0063257{col 37}{space 1}    0.33{col 46}{space 3}0.741{col 54}{space 4}-.0103863{col 67}{space 3} .0145722
{txt}c_treatful.. {c |}{col 14}{res}{space 2} .0062713{col 26}{space 2}  .026903{col 37}{space 1}    0.23{col 46}{space 3}0.816{col 54}{space 4}-.0468029{col 67}{space 3} .0593455
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} .0306451{col 26}{space 2} .0287762{col 37}{space 1}    1.06{col 46}{space 3}0.288{col 54}{space 4}-.0261246{col 67}{space 3} .0874147
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}     7,288
{txt}{col 49}F({res}  15{txt},{res}    186{txt}){col 67}= {res}      9.17
{txt}{col 49}Prob > F{col 67}= {res}    0.0000
{txt}{col 49}R-squared{col 67}= {res}    0.0842
{txt}{col 49}Adj R-squared{col 67}= {res}    0.0805
{txt}{col 49}Root MSE{col 67}= {res}    0.9648

{txt}{ralign 78:(Std. Err. adjusted for {res:187} clusters in hc_id)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}e_tot_wait_z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2} .0024233{col 26}{space 2} .0482625{col 37}{space 1}    0.05{col 46}{space 3}0.960{col 54}{space 4}-.0927889{col 67}{space 3} .0976355
{txt}b_tot_wait_z {c |}{col 14}{res}{space 2}  .085317{col 26}{space 2}  .015157{col 37}{space 1}    5.63{col 46}{space 3}0.000{col 54}{space 4} .0554153{col 67}{space 3} .1152188
{txt}b_tot_wa~z_d {c |}{col 14}{res}{space 2} .0324791{col 26}{space 2} .0285873{col 37}{space 1}    1.14{col 46}{space 3}0.257{col 54}{space 4}-.0239178{col 67}{space 3}  .088876
{txt}{space 1}c_tfull_hc2 {c |}{col 14}{res}{space 2} -.359997{col 26}{space 2}   .07538{col 37}{space 1}   -4.78{col 46}{space 3}0.000{col 54}{space 4}-.5087067{col 67}{space 3}-.2112873
{txt}c_tfull_b_~l {c |}{col 14}{res}{space 2}-.0457278{col 26}{space 2} .1035486{col 37}{space 1}   -0.44{col 46}{space 3}0.659{col 54}{space 4}-.2500084{col 67}{space 3} .1585528
{txt}c_tfull_b_~s {c |}{col 14}{res}{space 2} .0369578{col 26}{space 2} .1223619{col 37}{space 1}    0.30{col 46}{space 3}0.763{col 54}{space 4}-.2044378{col 67}{space 3} .2783535
{txt}c_tfull_b_~d {c |}{col 14}{res}{space 2} .0172587{col 26}{space 2} .0621718{col 37}{space 1}    0.28{col 46}{space 3}0.782{col 54}{space 4}-.1053938{col 67}{space 3} .1399111
{txt}c_tfull_ed~r {c |}{col 14}{res}{space 2}-.0081463{col 26}{space 2} .0042977{col 37}{space 1}   -1.90{col 46}{space 3}0.060{col 54}{space 4}-.0166247{col 67}{space 3} .0003322
{txt}c_tfull_b_~x {c |}{col 14}{res}{space 2}-.0644472{col 26}{space 2} .0206661{col 37}{space 1}   -3.12{col 46}{space 3}0.002{col 54}{space 4}-.1052173{col 67}{space 3}-.0236771
{txt}c_trea~l_hc2 {c |}{col 14}{res}{space 2} .1726452{col 26}{space 2} .1083245{col 37}{space 1}    1.59{col 46}{space 3}0.113{col 54}{space 4}-.0410575{col 67}{space 3} .3863479
{txt}c_treatful.. {c |}{col 14}{res}{space 2}  .267914{col 26}{space 2} .1314612{col 37}{space 1}    2.04{col 46}{space 3}0.043{col 54}{space 4} .0085672{col 67}{space 3} .5272608
{txt}c_treatful.. {c |}{col 14}{res}{space 2}-.0809906{col 26}{space 2} .1485804{col 37}{space 1}   -0.55{col 46}{space 3}0.586{col 54}{space 4}  -.37411{col 67}{space 3} .2121289
{txt}c_treatful.. {c |}{col 14}{res}{space 2} .1672247{col 26}{space 2}  .081717{col 37}{space 1}    2.05{col 46}{space 3}0.042{col 54}{space 4} .0060133{col 67}{space 3}  .328436
{txt}c_treatful.. {c |}{col 14}{res}{space 2}-.0008375{col 26}{space 2} .0059947{col 37}{space 1}   -0.14{col 46}{space 3}0.889{col 54}{space 4}-.0126638{col 67}{space 3} .0109889
{txt}c_treatful.. {c |}{col 14}{res}{space 2} .0264646{col 26}{space 2} .0291363{col 37}{space 1}    0.91{col 46}{space 3}0.365{col 54}{space 4}-.0310154{col 67}{space 3} .0839446
{txt}{space 7}_cons {c |}{col 14}{res}{space 2}-.0295276{col 26}{space 2}  .033401{col 37}{space 1}   -0.88{col 46}{space 3}0.378{col 54}{space 4}-.0954212{col 67}{space 3}  .036366
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}     7,288
{txt}{col 49}F({res}  15{txt},{res}    186{txt}){col 67}= {res}      0.61
{txt}{col 49}Prob > F{col 67}= {res}    0.8644
{txt}{col 49}R-squared{col 67}= {res}    0.0263
{txt}{col 49}Adj R-squared{col 67}= {res}    0.0223
{txt}{col 49}Root MSE{col 67}= {res}    0.9531

{txt}{ralign 78:(Std. Err. adjusted for {res:187} clusters in hc_id)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1} e_trained_z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2}  .008781{col 26}{space 2} .0347955{col 37}{space 1}    0.25{col 46}{space 3}0.801{col 54}{space 4}-.0598636{col 67}{space 3} .0774256
{txt}{space 1}b_trained_z {c |}{col 14}{res}{space 2}  .106527{col 26}{space 2} .0970067{col 37}{space 1}    1.10{col 46}{space 3}0.274{col 54}{space 4}-.0848479{col 67}{space 3} .2979018
{txt}b_traine~z_d {c |}{col 14}{res}{space 2}-.0054512{col 26}{space 2} .0252489{col 37}{space 1}   -0.22{col 46}{space 3}0.829{col 54}{space 4}-.0552622{col 67}{space 3} .0443598
{txt}{space 1}c_tfull_hc2 {c |}{col 14}{res}{space 2}-.0939183{col 26}{space 2} .0863165{col 37}{space 1}   -1.09{col 46}{space 3}0.278{col 54}{space 4}-.2642036{col 67}{space 3}  .076367
{txt}c_tfull_b_~l {c |}{col 14}{res}{space 2}-.0795744{col 26}{space 2} .0741878{col 37}{space 1}   -1.07{col 46}{space 3}0.285{col 54}{space 4}-.2259321{col 67}{space 3} .0667834
{txt}c_tfull_b_~s {c |}{col 14}{res}{space 2}-.0077465{col 26}{space 2} .0260535{col 37}{space 1}   -0.30{col 46}{space 3}0.767{col 54}{space 4}-.0591447{col 67}{space 3} .0436518
{txt}c_tfull_b_~d {c |}{col 14}{res}{space 2}-.0267423{col 26}{space 2} .0376999{col 37}{space 1}   -0.71{col 46}{space 3}0.479{col 54}{space 4}-.1011166{col 67}{space 3} .0476319
{txt}c_tfull_ed~r {c |}{col 14}{res}{space 2}-.0062262{col 26}{space 2} .0035827{col 37}{space 1}   -1.74{col 46}{space 3}0.084{col 54}{space 4}-.0132941{col 67}{space 3} .0008417
{txt}c_tfull_b_~x {c |}{col 14}{res}{space 2} .0136784{col 26}{space 2} .0101668{col 37}{space 1}    1.35{col 46}{space 3}0.180{col 54}{space 4}-.0063786{col 67}{space 3} .0337355
{txt}c_trea~l_hc2 {c |}{col 14}{res}{space 2} .0529309{col 26}{space 2}  .107484{col 37}{space 1}    0.49{col 46}{space 3}0.623{col 54}{space 4}-.1591136{col 67}{space 3} .2649754
{txt}c_treatful.. {c |}{col 14}{res}{space 2} .0353718{col 26}{space 2}  .096758{col 37}{space 1}    0.37{col 46}{space 3}0.715{col 54}{space 4}-.1555123{col 67}{space 3} .2262559
{txt}c_treatful.. {c |}{col 14}{res}{space 2} .0001394{col 26}{space 2} .0257151{col 37}{space 1}    0.01{col 46}{space 3}0.996{col 54}{space 4}-.0505914{col 67}{space 3} .0508701
{txt}c_treatful.. {c |}{col 14}{res}{space 2} .0217977{col 26}{space 2} .0337508{col 37}{space 1}    0.65{col 46}{space 3}0.519{col 54}{space 4}-.0447859{col 67}{space 3} .0883813
{txt}c_treatful.. {c |}{col 14}{res}{space 2}  .007923{col 26}{space 2} .0049456{col 37}{space 1}    1.60{col 46}{space 3}0.111{col 54}{space 4}-.0018337{col 67}{space 3} .0176797
{txt}c_treatful.. {c |}{col 14}{res}{space 2}-.0229175{col 26}{space 2} .0168383{col 37}{space 1}   -1.36{col 46}{space 3}0.175{col 54}{space 4} -.056136{col 67}{space 3} .0103011
{txt}{space 7}_cons {c |}{col 14}{res}{space 2}-.0000849{col 26}{space 2} .0257728{col 37}{space 1}   -0.00{col 46}{space 3}0.997{col 54}{space 4}-.0509295{col 67}{space 3} .0507597
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}     7,288
{txt}{col 49}F({res}  15{txt},{res}    186{txt}){col 67}= {res}      1.97
{txt}{col 49}Prob > F{col 67}= {res}    0.0195
{txt}{col 49}R-squared{col 67}= {res}    0.0390
{txt}{col 49}Adj R-squared{col 67}= {res}    0.0350
{txt}{col 49}Root MSE{col 67}= {res}    0.9122

{txt}{ralign 78:(Std. Err. adjusted for {res:187} clusters in hc_id)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}e_exam_pri~z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2} .0726899{col 26}{space 2} .0392203{col 37}{space 1}    1.85{col 46}{space 3}0.065{col 54}{space 4} -.004684{col 67}{space 3} .1500638
{txt}b_exam_pri~z {c |}{col 14}{res}{space 2} .0395554{col 26}{space 2} .0128065{col 37}{space 1}    3.09{col 46}{space 3}0.002{col 54}{space 4} .0142907{col 67}{space 3} .0648202
{txt}b_exam_p~z_d {c |}{col 14}{res}{space 2} .0023699{col 26}{space 2} .0289154{col 37}{space 1}    0.08{col 46}{space 3}0.935{col 54}{space 4}-.0546744{col 67}{space 3} .0594142
{txt}{space 1}c_tfull_hc2 {c |}{col 14}{res}{space 2}-.1643048{col 26}{space 2} .0842201{col 37}{space 1}   -1.95{col 46}{space 3}0.053{col 54}{space 4}-.3304543{col 67}{space 3} .0018446
{txt}c_tfull_b_~l {c |}{col 14}{res}{space 2} .0324095{col 26}{space 2} .1119179{col 37}{space 1}    0.29{col 46}{space 3}0.772{col 54}{space 4}-.1883822{col 67}{space 3} .2532012
{txt}c_tfull_b_~s {c |}{col 14}{res}{space 2}-.1206057{col 26}{space 2} .1164509{col 37}{space 1}   -1.04{col 46}{space 3}0.302{col 54}{space 4}-.3503401{col 67}{space 3} .1091286
{txt}c_tfull_b_~d {c |}{col 14}{res}{space 2}-.0284675{col 26}{space 2} .0666866{col 37}{space 1}   -0.43{col 46}{space 3}0.670{col 54}{space 4}-.1600268{col 67}{space 3} .1030918
{txt}c_tfull_ed~r {c |}{col 14}{res}{space 2} -.007997{col 26}{space 2} .0042251{col 37}{space 1}   -1.89{col 46}{space 3}0.060{col 54}{space 4}-.0163322{col 67}{space 3} .0003383
{txt}c_tfull_b_~x {c |}{col 14}{res}{space 2}-.0107139{col 26}{space 2} .0229838{col 37}{space 1}   -0.47{col 46}{space 3}0.642{col 54}{space 4}-.0560563{col 67}{space 3} .0346286
{txt}c_trea~l_hc2 {c |}{col 14}{res}{space 2} .0874428{col 26}{space 2} .0978092{col 37}{space 1}    0.89{col 46}{space 3}0.372{col 54}{space 4}-.1055152{col 67}{space 3} .2804007
{txt}c_treatful.. {c |}{col 14}{res}{space 2}-.0829212{col 26}{space 2} .1214196{col 37}{space 1}   -0.68{col 46}{space 3}0.496{col 54}{space 4}-.3224577{col 67}{space 3} .1566154
{txt}c_treatful.. {c |}{col 14}{res}{space 2}-.0316434{col 26}{space 2} .1117912{col 37}{space 1}   -0.28{col 46}{space 3}0.777{col 54}{space 4}-.2521852{col 67}{space 3} .1888983
{txt}c_treatful.. {c |}{col 14}{res}{space 2} .0313334{col 26}{space 2} .0760668{col 37}{space 1}    0.41{col 46}{space 3}0.681{col 54}{space 4}-.1187312{col 67}{space 3} .1813981
{txt}c_treatful.. {c |}{col 14}{res}{space 2} .0091214{col 26}{space 2}   .00573{col 37}{space 1}    1.59{col 46}{space 3}0.113{col 54}{space 4}-.0021828{col 67}{space 3} .0204256
{txt}c_treatful.. {c |}{col 14}{res}{space 2}-.0209304{col 26}{space 2} .0332966{col 37}{space 1}   -0.63{col 46}{space 3}0.530{col 54}{space 4} -.086618{col 67}{space 3} .0447572
{txt}{space 7}_cons {c |}{col 14}{res}{space 2}-.0001482{col 26}{space 2} .0346077{col 37}{space 1}   -0.00{col 46}{space 3}0.997{col 54}{space 4}-.0684223{col 67}{space 3} .0681258
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}     7,288
{txt}{col 49}F({res}  15{txt},{res}    186{txt}){col 67}= {res}      3.74
{txt}{col 49}Prob > F{col 67}= {res}    0.0000
{txt}{col 49}R-squared{col 67}= {res}    0.0297
{txt}{col 49}Adj R-squared{col 67}= {res}    0.0256
{txt}{col 49}Root MSE{col 67}= {res}    0.9720

{txt}{ralign 78:(Std. Err. adjusted for {res:187} clusters in hc_id)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}e_taketest_z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2} .0356294{col 26}{space 2} .0398946{col 37}{space 1}    0.89{col 46}{space 3}0.373{col 54}{space 4}-.0430747{col 67}{space 3} .1143335
{txt}b_taketest_z {c |}{col 14}{res}{space 2} .0764217{col 26}{space 2} .0149501{col 37}{space 1}    5.11{col 46}{space 3}0.000{col 54}{space 4} .0469282{col 67}{space 3} .1059152
{txt}b_takete~z_d {c |}{col 14}{res}{space 2}-.0320665{col 26}{space 2} .0280275{col 37}{space 1}   -1.14{col 46}{space 3}0.254{col 54}{space 4}-.0873593{col 67}{space 3} .0232262
{txt}{space 1}c_tfull_hc2 {c |}{col 14}{res}{space 2} .0514561{col 26}{space 2} .0793503{col 37}{space 1}    0.65{col 46}{space 3}0.517{col 54}{space 4}-.1050862{col 67}{space 3} .2079985
{txt}c_tfull_b_~l {c |}{col 14}{res}{space 2} .1051827{col 26}{space 2}  .093102{col 37}{space 1}    1.13{col 46}{space 3}0.260{col 54}{space 4}-.0784889{col 67}{space 3} .2888544
{txt}c_tfull_b_~s {c |}{col 14}{res}{space 2} .0477496{col 26}{space 2}  .094614{col 37}{space 1}    0.50{col 46}{space 3}0.614{col 54}{space 4}-.1389049{col 67}{space 3}  .234404
{txt}c_tfull_b_~d {c |}{col 14}{res}{space 2}-.0641252{col 26}{space 2} .0666404{col 37}{space 1}   -0.96{col 46}{space 3}0.337{col 54}{space 4}-.1955934{col 67}{space 3} .0673431
{txt}c_tfull_ed~r {c |}{col 14}{res}{space 2}    .0008{col 26}{space 2} .0043626{col 37}{space 1}    0.18{col 46}{space 3}0.855{col 54}{space 4}-.0078065{col 67}{space 3} .0094066
{txt}c_tfull_b_~x {c |}{col 14}{res}{space 2}-.0421004{col 26}{space 2} .0217115{col 37}{space 1}   -1.94{col 46}{space 3}0.054{col 54}{space 4}-.0849328{col 67}{space 3} .0007321
{txt}c_trea~l_hc2 {c |}{col 14}{res}{space 2} .0042716{col 26}{space 2} .0926653{col 37}{space 1}    0.05{col 46}{space 3}0.963{col 54}{space 4}-.1785386{col 67}{space 3} .1870817
{txt}c_treatful.. {c |}{col 14}{res}{space 2}-.1174648{col 26}{space 2} .1064283{col 37}{space 1}   -1.10{col 46}{space 3}0.271{col 54}{space 4}-.3274265{col 67}{space 3}  .092497
{txt}c_treatful.. {c |}{col 14}{res}{space 2} .0258109{col 26}{space 2} .1174846{col 37}{space 1}    0.22{col 46}{space 3}0.826{col 54}{space 4}-.2059628{col 67}{space 3} .2575846
{txt}c_treatful.. {c |}{col 14}{res}{space 2} .1474596{col 26}{space 2} .0846053{col 37}{space 1}    1.74{col 46}{space 3}0.083{col 54}{space 4}-.0194497{col 67}{space 3} .3143688
{txt}c_treatful.. {c |}{col 14}{res}{space 2} .0040654{col 26}{space 2} .0062939{col 37}{space 1}    0.65{col 46}{space 3}0.519{col 54}{space 4}-.0083511{col 67}{space 3}  .016482
{txt}c_treatful.. {c |}{col 14}{res}{space 2} .0018028{col 26}{space 2} .0288049{col 37}{space 1}    0.06{col 46}{space 3}0.950{col 54}{space 4}-.0550235{col 67}{space 3} .0586292
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} .0104457{col 26}{space 2} .0315936{col 37}{space 1}    0.33{col 46}{space 3}0.741{col 54}{space 4}-.0518821{col 67}{space 3} .0727734
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}     7,288
{txt}{col 49}F({res}  15{txt},{res}    186{txt}){col 67}= {res}      2.04
{txt}{col 49}Prob > F{col 67}= {res}    0.0145
{txt}{col 49}R-squared{col 67}= {res}    0.0192
{txt}{col 49}Adj R-squared{col 67}= {res}    0.0152
{txt}{col 49}Root MSE{col 67}= {res}    0.9778

{txt}{ralign 78:(Std. Err. adjusted for {res:187} clusters in hc_id)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}e_diagnosi~z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2} .0575803{col 26}{space 2} .0321161{col 37}{space 1}    1.79{col 46}{space 3}0.075{col 54}{space 4}-.0057783{col 67}{space 3} .1209389
{txt}b_diagnosi~z {c |}{col 14}{res}{space 2} .0510397{col 26}{space 2} .0125924{col 37}{space 1}    4.05{col 46}{space 3}0.000{col 54}{space 4} .0261973{col 67}{space 3}  .075882
{txt}b_diagno~z_d {c |}{col 14}{res}{space 2}-.0088442{col 26}{space 2} .0327023{col 37}{space 1}   -0.27{col 46}{space 3}0.787{col 54}{space 4}-.0733594{col 67}{space 3} .0556709
{txt}{space 1}c_tfull_hc2 {c |}{col 14}{res}{space 2} .0814857{col 26}{space 2} .0609166{col 37}{space 1}    1.34{col 46}{space 3}0.183{col 54}{space 4}-.0386905{col 67}{space 3}  .201662
{txt}c_tfull_b_~l {c |}{col 14}{res}{space 2} .1468864{col 26}{space 2}   .08036{col 37}{space 1}    1.83{col 46}{space 3}0.069{col 54}{space 4}-.0116478{col 67}{space 3} .3054207
{txt}c_tfull_b_~s {c |}{col 14}{res}{space 2} .0619146{col 26}{space 2} .0906206{col 37}{space 1}    0.68{col 46}{space 3}0.495{col 54}{space 4}-.1168616{col 67}{space 3} .2406909
{txt}c_tfull_b_~d {c |}{col 14}{res}{space 2} .0341729{col 26}{space 2} .0654445{col 37}{space 1}    0.52{col 46}{space 3}0.602{col 54}{space 4} -.094936{col 67}{space 3} .1632819
{txt}c_tfull_ed~r {c |}{col 14}{res}{space 2} .0039652{col 26}{space 2} .0043938{col 37}{space 1}    0.90{col 46}{space 3}0.368{col 54}{space 4} -.004703{col 67}{space 3} .0126334
{txt}c_tfull_b_~x {c |}{col 14}{res}{space 2} .0055398{col 26}{space 2} .0186224{col 37}{space 1}    0.30{col 46}{space 3}0.766{col 54}{space 4}-.0311984{col 67}{space 3}  .042278
{txt}c_trea~l_hc2 {c |}{col 14}{res}{space 2} -.053776{col 26}{space 2} .0760756{col 37}{space 1}   -0.71{col 46}{space 3}0.481{col 54}{space 4} -.203858{col 67}{space 3} .0963061
{txt}c_treatful.. {c |}{col 14}{res}{space 2}-.1418163{col 26}{space 2} .0887472{col 37}{space 1}   -1.60{col 46}{space 3}0.112{col 54}{space 4}-.3168968{col 67}{space 3} .0332641
{txt}c_treatful.. {c |}{col 14}{res}{space 2} .0334331{col 26}{space 2} .0982635{col 37}{space 1}    0.34{col 46}{space 3}0.734{col 54}{space 4}-.1604212{col 67}{space 3} .2272874
{txt}c_treatful.. {c |}{col 14}{res}{space 2}-.0224346{col 26}{space 2} .0849165{col 37}{space 1}   -0.26{col 46}{space 3}0.792{col 54}{space 4}-.1899578{col 67}{space 3} .1450886
{txt}c_treatful.. {c |}{col 14}{res}{space 2}-.0032783{col 26}{space 2} .0065885{col 37}{space 1}   -0.50{col 46}{space 3}0.619{col 54}{space 4}-.0162761{col 67}{space 3} .0097195
{txt}c_treatful.. {c |}{col 14}{res}{space 2}-.0251465{col 26}{space 2} .0254403{col 37}{space 1}   -0.99{col 46}{space 3}0.324{col 54}{space 4}-.0753351{col 67}{space 3} .0250422
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} .0052045{col 26}{space 2} .0251511{col 37}{space 1}    0.21{col 46}{space 3}0.836{col 54}{space 4}-.0444137{col 67}{space 3} .0548226
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{com}.                 
.         local y = 8
{txt}
{com}.         foreach x in `treatmentqual_hclevel' {c -(}
{txt}  2{com}.                 areg  e_`x' `var' b_`x' b_`x'_d `e_controls_tfull_hc' ``var'_hc_int_e_controls' if uniquehc == 1 , robust a(district)
{txt}  3{com}.                 
.                 local p_`y' = (2 * ttail(e(df_r), abs(_b[`var']/_se[`var'])))
{txt}  4{com}.                 
.                 estimates store m`y'
{txt}  5{com}.                 local y = `y' + 1
{txt}  6{com}.                 {c )-}
{res}
{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}       187
{txt}{col 49}F({res}  15{txt},{res}    156{txt}){col 67}= {res}      1.03
{txt}{col 49}Prob > F{col 67}= {res}    0.4321
{txt}{col 49}R-squared{col 67}= {res}    0.2993
{txt}{col 49}Adj R-squared{col 67}= {res}    0.1645
{txt}{col 49}Root MSE{col 67}= {res}    0.8846

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}e_h_percen~z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2} .0544486{col 26}{space 2} .1331626{col 37}{space 1}    0.41{col 46}{space 3}0.683{col 54}{space 4}-.2085858{col 67}{space 3} .3174831
{txt}b_h_percen~z {c |}{col 14}{res}{space 2} .0813887{col 26}{space 2} .0782016{col 37}{space 1}    1.04{col 46}{space 3}0.300{col 54}{space 4} -.073082{col 67}{space 3} .2358594
{txt}b_h_perc~z_d {c |}{col 14}{res}{space 2}-.0732443{col 26}{space 2} .2498384{col 37}{space 1}   -0.29{col 46}{space 3}0.770{col 54}{space 4} -.566747{col 67}{space 3} .4202583
{txt}c_tf~_hc_hc2 {c |}{col 14}{res}{space 2} .2348461{col 26}{space 2} .3090935{col 37}{space 1}    0.76{col 46}{space 3}0.449{col 54}{space 4}-.3757023{col 67}{space 3} .8453945
{txt}c_tfull_hc~l {c |}{col 14}{res}{space 2}-.1414222{col 26}{space 2} .3292994{col 37}{space 1}   -0.43{col 46}{space 3}0.668{col 54}{space 4}-.7918833{col 67}{space 3} .5090389
{txt}c_tfull_hc~s {c |}{col 14}{res}{space 2}-.0224151{col 26}{space 2} .4140249{col 37}{space 1}   -0.05{col 46}{space 3}0.957{col 54}{space 4}-.8402334{col 67}{space 3} .7954031
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2} 1.495121{col 26}{space 2} .7669519{col 37}{space 1}    1.95{col 46}{space 3}0.053{col 54}{space 4}-.0198291{col 67}{space 3} 3.010072
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2} -.106287{col 26}{space 2} .1388642{col 37}{space 1}   -0.77{col 46}{space 3}0.445{col 54}{space 4}-.3805837{col 67}{space 3} .1680098
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2} .3531816{col 26}{space 2} .3914511{col 37}{space 1}    0.90{col 46}{space 3}0.368{col 54}{space 4}-.4200469{col 67}{space 3}  1.12641
{txt}c_treatful.. {c |}{col 14}{res}{space 2}-.0789458{col 26}{space 2} .3618384{col 37}{space 1}   -0.22{col 46}{space 3}0.828{col 54}{space 4}-.7936806{col 67}{space 3}  .635789
{txt}c_treatful.. {c |}{col 14}{res}{space 2} .2631033{col 26}{space 2} .3941413{col 37}{space 1}    0.67{col 46}{space 3}0.505{col 54}{space 4}-.5154392{col 67}{space 3} 1.041646
{txt}c_treatful.. {c |}{col 14}{res}{space 2}-.5265497{col 26}{space 2}  .521074{col 37}{space 1}   -1.01{col 46}{space 3}0.314{col 54}{space 4}-1.555821{col 67}{space 3} .5027212
{txt}c_treatful.. {c |}{col 14}{res}{space 2}-.9741991{col 26}{space 2} 1.302261{col 37}{space 1}   -0.75{col 46}{space 3}0.456{col 54}{space 4} -3.54654{col 67}{space 3} 1.598142
{txt}c_treatful.. {c |}{col 14}{res}{space 2}-.0265622{col 26}{space 2} .1669221{col 37}{space 1}   -0.16{col 46}{space 3}0.874{col 54}{space 4}-.3562813{col 67}{space 3}  .303157
{txt}c_treatful.. {c |}{col 14}{res}{space 2}-.1838283{col 26}{space 2} .4766961{col 37}{space 1}   -0.39{col 46}{space 3}0.700{col 54}{space 4} -1.12544{col 67}{space 3} .7577835
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} .0095621{col 26}{space 2} .1065351{col 37}{space 1}    0.09{col 46}{space 3}0.929{col 54}{space 4}-.2008754{col 67}{space 3} .2199996
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)
{res}
{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}       187
{txt}{col 49}F({res}  15{txt},{res}    156{txt}){col 67}= {res}      1.38
{txt}{col 49}Prob > F{col 67}= {res}    0.1633
{txt}{col 49}R-squared{col 67}= {res}    0.1663
{txt}{col 49}Adj R-squared{col 67}= {res}    0.0060
{txt}{col 49}Root MSE{col 67}= {res}    0.9147

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}e_h_cleanl~z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2} .1177973{col 26}{space 2} .1403032{col 37}{space 1}    0.84{col 46}{space 3}0.402{col 54}{space 4}-.1593417{col 67}{space 3} .3949364
{txt}b_h_cleanl~z {c |}{col 14}{res}{space 2}  .139431{col 26}{space 2} .0680828{col 37}{space 1}    2.05{col 46}{space 3}0.042{col 54}{space 4} .0049478{col 67}{space 3} .2739142
{txt}b_h_clea~z_d {c |}{col 14}{res}{space 2}-.0068158{col 26}{space 2} .2748331{col 37}{space 1}   -0.02{col 46}{space 3}0.980{col 54}{space 4}-.5496902{col 67}{space 3} .5360586
{txt}c_tf~_hc_hc2 {c |}{col 14}{res}{space 2} -.012406{col 26}{space 2} .3044877{col 37}{space 1}   -0.04{col 46}{space 3}0.968{col 54}{space 4}-.6138568{col 67}{space 3} .5890448
{txt}c_tfull_hc~l {c |}{col 14}{res}{space 2}-.1659271{col 26}{space 2} .3063778{col 37}{space 1}   -0.54{col 46}{space 3}0.589{col 54}{space 4}-.7711113{col 67}{space 3} .4392571
{txt}c_tfull_hc~s {c |}{col 14}{res}{space 2} .5685318{col 26}{space 2} .3117232{col 37}{space 1}    1.82{col 46}{space 3}0.070{col 54}{space 4}-.0472111{col 67}{space 3} 1.184275
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2} .5185879{col 26}{space 2}  .736711{col 37}{space 1}    0.70{col 46}{space 3}0.483{col 54}{space 4}-.9366281{col 67}{space 3} 1.973804
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2} .0013088{col 26}{space 2} .1081582{col 37}{space 1}    0.01{col 46}{space 3}0.990{col 54}{space 4}-.2123347{col 67}{space 3} .2149524
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2} .3030283{col 26}{space 2} .2929662{col 37}{space 1}    1.03{col 46}{space 3}0.303{col 54}{space 4}-.2756641{col 67}{space 3} .8817206
{txt}c_treatful.. {c |}{col 14}{res}{space 2}-.2002067{col 26}{space 2} .3868245{col 37}{space 1}   -0.52{col 46}{space 3}0.605{col 54}{space 4}-.9642964{col 67}{space 3} .5638829
{txt}c_treatful.. {c |}{col 14}{res}{space 2} .3825307{col 26}{space 2} .3731749{col 37}{space 1}    1.03{col 46}{space 3}0.307{col 54}{space 4}-.3545971{col 67}{space 3} 1.119659
{txt}c_treatful.. {c |}{col 14}{res}{space 2} -.635015{col 26}{space 2}  .370548{col 37}{space 1}   -1.71{col 46}{space 3}0.089{col 54}{space 4}-1.366954{col 67}{space 3} .0969238
{txt}c_treatful.. {c |}{col 14}{res}{space 2}-.3438223{col 26}{space 2} 1.295245{col 37}{space 1}   -0.27{col 46}{space 3}0.791{col 54}{space 4}-2.902304{col 67}{space 3} 2.214659
{txt}c_treatful.. {c |}{col 14}{res}{space 2}-.1499186{col 26}{space 2} .1546077{col 37}{space 1}   -0.97{col 46}{space 3}0.334{col 54}{space 4}-.4553131{col 67}{space 3}  .155476
{txt}c_treatful.. {c |}{col 14}{res}{space 2} .2251606{col 26}{space 2} .4247702{col 37}{space 1}    0.53{col 46}{space 3}0.597{col 54}{space 4}-.6138827{col 67}{space 3} 1.064204
{txt}{space 7}_cons {c |}{col 14}{res}{space 2}   .01227{col 26}{space 2} .1122217{col 37}{space 1}    0.11{col 46}{space 3}0.913{col 54}{space 4}-.2094001{col 67}{space 3}   .23394
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)
{res}
{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}       187
{txt}{col 49}F({res}  15{txt},{res}    156{txt}){col 67}= {res}      1.61
{txt}{col 49}Prob > F{col 67}= {res}    0.0764
{txt}{col 49}R-squared{col 67}= {res}    0.4211
{txt}{col 49}Adj R-squared{col 67}= {res}    0.3098
{txt}{col 49}Root MSE{col 67}= {res}    0.7463

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}e_h_meanst~z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2} .2290897{col 26}{space 2} .1112706{col 37}{space 1}    2.06{col 46}{space 3}0.041{col 54}{space 4} .0092983{col 67}{space 3} .4488811
{txt}b_h_meanst~z {c |}{col 14}{res}{space 2} .0037893{col 26}{space 2}  .067888{col 37}{space 1}    0.06{col 46}{space 3}0.956{col 54}{space 4} -.130309{col 67}{space 3} .1378876
{txt}b_h_mean~z_d {c |}{col 14}{res}{space 2} .0249202{col 26}{space 2} .1424984{col 37}{space 1}    0.17{col 46}{space 3}0.861{col 54}{space 4}-.2565551{col 67}{space 3} .3063955
{txt}c_tf~_hc_hc2 {c |}{col 14}{res}{space 2}-.3079737{col 26}{space 2} .2189971{col 37}{space 1}   -1.41{col 46}{space 3}0.162{col 54}{space 4} -.740556{col 67}{space 3} .1246086
{txt}c_tfull_hc~l {c |}{col 14}{res}{space 2} .1432036{col 26}{space 2} .2316829{col 37}{space 1}    0.62{col 46}{space 3}0.537{col 54}{space 4}-.3144367{col 67}{space 3}  .600844
{txt}c_tfull_hc~s {c |}{col 14}{res}{space 2}-.0160741{col 26}{space 2} .2153173{col 37}{space 1}   -0.07{col 46}{space 3}0.941{col 54}{space 4}-.4413876{col 67}{space 3} .4092395
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2}-1.174918{col 26}{space 2} .8435785{col 37}{space 1}   -1.39{col 46}{space 3}0.166{col 54}{space 4}-2.841229{col 67}{space 3} .4913917
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2} -.245514{col 26}{space 2} .0784262{col 37}{space 1}   -3.13{col 46}{space 3}0.002{col 54}{space 4}-.4004284{col 67}{space 3}-.0905997
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2} .6625955{col 26}{space 2} .2358072{col 37}{space 1}    2.81{col 46}{space 3}0.006{col 54}{space 4} .1968085{col 67}{space 3} 1.128383
{txt}c_treatful.. {c |}{col 14}{res}{space 2} .2275077{col 26}{space 2} .2920305{col 37}{space 1}    0.78{col 46}{space 3}0.437{col 54}{space 4}-.3493365{col 67}{space 3} .8043519
{txt}c_treatful.. {c |}{col 14}{res}{space 2}-.2320243{col 26}{space 2}  .300759{col 37}{space 1}   -0.77{col 46}{space 3}0.442{col 54}{space 4}-.8261098{col 67}{space 3} .3620613
{txt}c_treatful.. {c |}{col 14}{res}{space 2} .2442668{col 26}{space 2} .2818122{col 37}{space 1}    0.87{col 46}{space 3}0.387{col 54}{space 4}-.3123934{col 67}{space 3} .8009269
{txt}c_treatful.. {c |}{col 14}{res}{space 2} 2.004045{col 26}{space 2} 1.069331{col 37}{space 1}    1.87{col 46}{space 3}0.063{col 54}{space 4}-.1081901{col 67}{space 3} 4.116281
{txt}c_treatful.. {c |}{col 14}{res}{space 2} .2413719{col 26}{space 2} .1254322{col 37}{space 1}    1.92{col 46}{space 3}0.056{col 54}{space 4}-.0063927{col 67}{space 3} .4891365
{txt}c_treatful.. {c |}{col 14}{res}{space 2}-.7589206{col 26}{space 2} .2686035{col 37}{space 1}   -2.83{col 46}{space 3}0.005{col 54}{space 4} -1.28949{col 67}{space 3}-.2283514
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} .0161584{col 26}{space 2} .0921616{col 37}{space 1}    0.18{col 46}{space 3}0.861{col 54}{space 4}-.1658873{col 67}{space 3} .1982041
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{com}.                 
.         * We create the adjusted p-value following the Benjamini-Hochberg methodology 
.         
.         local y = `y' - 1
{txt}
{com}. 
.         local ps `p_2'
{txt}
{com}.         forvalues x = 3/`y' {c -(}
{txt}  2{com}.                 local ps `ps' \ `p_`x''
{txt}  3{com}.                 {c )-}
{txt}
{com}. 
.         matrix mat = (`ps')
{txt}
{com}.                 
.         * We need to rank the p-value, transpose it and transfer it to local
.         
.         matsort mat 1 "up"
{txt}
{com}.         
.         mat ps_mat = mat'
{txt}
{com}.         
.         mat list ps_mat
{res}
{txt}ps_mat[1,9]
           r9         r4         r6         r1
c1 {res} .04117127  .06541301  .07461676  .11971034

{txt}           r5         r8         r7         r3
c1 {res} .37296393  .40242227  .68318236  .80104148

{txt}           r2
c1 {res} .96000804
{reset}
{com}.         
.         local ps_rank
{txt}
{com}.         
.         forvalues z = 1/`y' {c -(}
{txt}  2{com}.                 local x = ps_mat[1,`z']
{txt}  3{com}.                 local ps_rank `ps_rank' `x'
{txt}  4{com}.                 {c )-}
{txt}
{com}.                 
.         di "`ps_rank'"
{res}.0411712694391169 .065413008409535 .0746167587152116 .1197103359032856 .3729639256319655 .4024222714016942 .6831823578635772 .8010414780472553 .9600080375689978 .
{txt}
{com}.         
.         * We count the number of tests (numerator)
.         
.         local num_p = `y' - 1
{txt}
{com}.         
.         * We calculate the BH value
.         
.         local z = 0
{txt}
{com}.         foreach i of local ps_rank {c -(}
{txt}  2{com}.                 local z = `z' + 1 
{txt}  3{com}.                 local adj_p`z' = (`i' * `num_p') / `z'
{txt}  4{com}.                 {c )-}
{txt}
{com}.                 
.         * We compare it according to the rank and eventually replace it
.         
.         forvalues r = 1/`y' {c -(}
{txt}  2{com}.         local d = `y' - 1
{txt}  3{com}.         forvalues z = 1/`d' {c -(}
{txt}  4{com}.                 local v = `z' + 1
{txt}  5{com}.                         if `adj_p`z'' >= `adj_p`v'' {c -(}
{txt}  6{com}.                                 local adj_p`z' `adj_p`v''
{txt}  7{com}.                                 {c )-}
{txt}  8{com}.                         {c )-}
{txt}  9{com}.                         {c )-}
{txt}
{com}.         
.         * We store it in the estimator
.         
.         local z = 0
{txt}
{com}.         foreach i of local ps_rank {c -(}
{txt}  2{com}.                 local z = `z' + 1 
{txt}  3{com}.                 forvalues j = 2/`y' {c -(}
{txt}  4{com}.                         if `i' == `p_`j'' {c -(} 
{txt}  5{com}.                         estimates restore m`j'
{txt}  6{com}.                         estadd scalar adj_p = `adj_p`z''
{txt}  7{com}.                         {c )-}
{txt}  8{com}.                 {c )-}
{txt}  9{com}.                 {c )-}       
{txt}(results {stata estimates replay m10:m10} are active now)

added scalar:
              e(adj_p) =  {res}.22385028
{txt}(results {stata estimates replay m5:m5} are active now)

added scalar:
              e(adj_p) =  {res}.22385028
{txt}(results {stata estimates replay m7:m7} are active now)

added scalar:
              e(adj_p) =  {res}.22385028
{txt}(results {stata estimates replay m2:m2} are active now)

added scalar:
              e(adj_p) =  {res}.26934826
{txt}(results {stata estimates replay m6:m6} are active now)

added scalar:
              e(adj_p) =  {res}.60363341
{txt}(results {stata estimates replay m9:m9} are active now)

added scalar:
              e(adj_p) =  {res}.60363341
{txt}(results {stata estimates replay m8:m8} are active now)

added scalar:
              e(adj_p) =  {res}.87837732
{txt}(results {stata estimates replay m4:m4} are active now)

added scalar:
              e(adj_p) =  {res}.90117166
{txt}(results {stata estimates replay m3:m3} are active now)

added scalar:
              e(adj_p) =  {res}.96000804
{txt}
{com}.                 
.         * We include the adjusted p-value from the main outcomes index
.         
.         estimates restore m1
{txt}(results {stata estimates replay m1:m1} are active now)

{com}.         estadd scalar adj_p = 0.028

{txt}added scalar:
              e(adj_p) =  {res}.028
{txt}
{com}.         
.         **********************************************
.         * Table Treatment quality outcomes (endline) *
.         **********************************************
.         
.         coefplot (m1 \ m2 \ m3 \ m4 \ m5 \ m6 \ m7 \ m8 \ m9 \ m10), keep(`var') xline(0, lcolor(gray)) scheme(s1mono) mcolor(blue) mlcolor(blue) levels(95 90) ciopts(lcolor(blue blue) lwidth(medium thick)) grid(none) xtick(-.4 -.2 0 .2 .4) xlabel(-.4 -.2 0 .2 .4) aseq swapnames coeflabels(m1 = "{c -(}bf:Treatment quality index{c )-}" m2 = "Used equipment" m3 = "Waiting time" m4 = "Examined by trained staff" m5 = "Privacy during exam" m6 = "Received test when needed" m7 = "Diagnosis explained clearly" m8 = "% staff presence" m9 = "Facility cleanliness" m10 = "Drug availabilty")  note("Displaying 95% and 90% confidence intervals")
{res}{txt}
{com}.         qui graph export "${c -(}Figures{c )-}/Figure4d_treatqual.png", replace
{txt}
{com}.         
.         
.         # delimit;
{txt}delimiter now ;
{com}.                 esttab m1 m2 m3 m4 m5 m6 m7 m8 m9 m10
>         using "${c -(}tables{c )-}/TableI8.tex", b(%5.3f) se(%5.3f)
>                 title(Treatment quality index -- Subcomponents)
>                 keep(`var' _cons)
>                 varlabels (`var' "Full treatment" _cons "Constant")     
>                 starlevels(* .10 ** .05 *** .01)                
>                 mtitles("\textbf{c -(}\begin{c -(}tabular{c )-}[c]{c -(}@{c -(}{c )-}c@{c -(}{c )-}{c )-}Treatment\\quality\\index\end{c -(}tabular{c )-}{c )-}"
>                                 "\begin{c -(}tabular{c )-}[c]{c -(}@{c -(}{c )-}c@{c -(}{c )-}{c )-}Used\\equipment\end{c -(}tabular{c )-}"
>                                 "\begin{c -(}tabular{c )-}[c]{c -(}@{c -(}{c )-}c@{c -(}{c )-}{c )-}Waiting\\time\end{c -(}tabular{c )-}"
>                                 "\begin{c -(}tabular{c )-}[c]{c -(}@{c -(}{c )-}c@{c -(}{c )-}{c )-}Examined\\by trained\\staff\end{c -(}tabular{c )-}"
>                                 "\begin{c -(}tabular{c )-}[c]{c -(}@{c -(}{c )-}c@{c -(}{c )-}{c )-}Privacy\\during\\exam\end{c -(}tabular{c )-}"
>                                 "\begin{c -(}tabular{c )-}[c]{c -(}@{c -(}{c )-}c@{c -(}{c )-}{c )-}Received\\test when\\needed\end{c -(}tabular{c )-} "
>                                 "\begin{c -(}tabular{c )-}[c]{c -(}@{c -(}{c )-}c@{c -(}{c )-}{c )-}Diagnosis\\explained\\clearly\end{c -(}tabular{c )-}"
>                                 "\begin{c -(}tabular{c )-}[c]{c -(}@{c -(}{c )-}c@{c -(}{c )-}{c )-}\% staff\\presence\end{c -(}tabular{c )-}"
>                                 "\begin{c -(}tabular{c )-}[c]{c -(}@{c -(}{c )-}c@{c -(}{c )-}{c )-}Facility\\cleanliness\end{c -(}tabular{c )-}"
>                                 "\begin{c -(}tabular{c )-}[c]{c -(}@{c -(}{c )-}c@{c -(}{c )-}{c )-}Drug\\availability\end{c -(}tabular{c )-}")
>                 stats(N r2 adj_p, labels("N" "R$^{c -(}2{c )-}$" "Adjusted p-value (FT)") fmt(%9.0fc %9.3fc)) label booktabs nonotes replace
>         
>         ;
{res}{txt}(output written to {browse  `"/Users/fredericcochinard/Dropbox/ACT_Health_JOP_replication_file/3.Tables and Figures/Tables/TableI8.tex"'})

{com}.                 # delimit cr
{txt}delimiter now cr
{com}.         
.         ********************
.         * Non standardized *
.         ********************
.         
.         * At endline:
.         
.         eststo clear
{txt}
{com}.         
.         local y = 1
{txt}
{com}.         foreach x in `treatmentqual_ns' {c -(}
{txt}  2{com}.                 areg  e_`x' `var' b_`x' b_`x'_d `e_controls_tfull' ``var'_int_e_controls', robust cl(hc_id) a(district)
{txt}  3{com}.                 
.                 estimates store m`y'
{txt}  4{com}.                 
.                 qui sum e_`x' if `var' == 0
{txt}  5{com}.                 local meane_`x' r(mean)
{txt}  6{com}.                 local meane_`x' = string(`meane_`x'',"%9.3fc")
{txt}  7{com}.                 
.                 qui sum b_`x' if `var' == 0
{txt}  8{com}.                 local meanb_`x' r(mean)
{txt}  9{com}.                 local meanb_`x' = string(`meanb_`x'',"%9.3fc")
{txt} 10{com}.                 
.                 estadd scalar meanb = `meanb_`x''
{txt} 11{com}.                 estadd scalar meane = `meane_`x''
{txt} 12{com}.                 
.                 local y = `y' + 1
{txt} 13{com}.                 {c )-}
{txt}note: b_treatqual_z_d omitted because of collinearity
{res}
{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}     7,288
{txt}{col 49}F({res}  14{txt},{res}    186{txt}){col 67}= {res}      4.28
{txt}{col 49}Prob > F{col 67}= {res}    0.0000
{txt}{col 49}R-squared{col 67}= {res}    0.1023
{txt}{col 49}Adj R-squared{col 67}= {res}    0.0988
{txt}{col 49}Root MSE{col 67}= {res}    0.3514

{txt}{ralign 78:(Std. Err. adjusted for {res:187} clusters in hc_id)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}e_treatq~l_z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2}  .069785{col 26}{space 2} .0260197{col 37}{space 1}    2.68{col 46}{space 3}0.008{col 54}{space 4} .0184532{col 67}{space 3} .1211167
{txt}b_treatq~l_z {c |}{col 14}{res}{space 2} .1020516{col 26}{space 2} .0203832{col 37}{space 1}    5.01{col 46}{space 3}0.000{col 54}{space 4} .0618396{col 67}{space 3} .1422636
{txt}b_trea~l_z_d {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 1}c_tfull_hc2 {c |}{col 14}{res}{space 2}-.0711925{col 26}{space 2} .0533025{col 37}{space 1}   -1.34{col 46}{space 3}0.183{col 54}{space 4}-.1763477{col 67}{space 3} .0339628
{txt}c_tfull_b_~l {c |}{col 14}{res}{space 2}-.0176246{col 26}{space 2} .0573484{col 37}{space 1}   -0.31{col 46}{space 3}0.759{col 54}{space 4}-.1307615{col 67}{space 3} .0955122
{txt}c_tfull_b_~s {c |}{col 14}{res}{space 2} .0773901{col 26}{space 2} .0576711{col 37}{space 1}    1.34{col 46}{space 3}0.181{col 54}{space 4}-.0363835{col 67}{space 3} .1911637
{txt}c_tfull_b_~d {c |}{col 14}{res}{space 2} .0075521{col 26}{space 2} .0235787{col 37}{space 1}    0.32{col 46}{space 3}0.749{col 54}{space 4}-.0389639{col 67}{space 3} .0540681
{txt}c_tfull_ed~r {c |}{col 14}{res}{space 2}-.0030166{col 26}{space 2} .0016109{col 37}{space 1}   -1.87{col 46}{space 3}0.063{col 54}{space 4}-.0061945{col 67}{space 3} .0001614
{txt}c_tfull_b_~x {c |}{col 14}{res}{space 2}-.0028945{col 26}{space 2} .0082814{col 37}{space 1}   -0.35{col 46}{space 3}0.727{col 54}{space 4} -.019232{col 67}{space 3}  .013443
{txt}c_trea~l_hc2 {c |}{col 14}{res}{space 2} .0622374{col 26}{space 2} .0665857{col 37}{space 1}    0.93{col 46}{space 3}0.351{col 54}{space 4} -.069123{col 67}{space 3} .1935977
{txt}c_treatful.. {c |}{col 14}{res}{space 2} .0747815{col 26}{space 2} .0673432{col 37}{space 1}    1.11{col 46}{space 3}0.268{col 54}{space 4}-.0580732{col 67}{space 3} .2076362
{txt}c_treatful.. {c |}{col 14}{res}{space 2}-.1068973{col 26}{space 2} .0730561{col 37}{space 1}   -1.46{col 46}{space 3}0.145{col 54}{space 4}-.2510224{col 67}{space 3} .0372278
{txt}c_treatful.. {c |}{col 14}{res}{space 2} .0462437{col 26}{space 2} .0326817{col 37}{space 1}    1.41{col 46}{space 3}0.159{col 54}{space 4}-.0182307{col 67}{space 3} .1107182
{txt}c_treatful.. {c |}{col 14}{res}{space 2} .0025569{col 26}{space 2} .0022228{col 37}{space 1}    1.15{col 46}{space 3}0.252{col 54}{space 4}-.0018283{col 67}{space 3} .0069421
{txt}c_treatful.. {c |}{col 14}{res}{space 2}-.0181358{col 26}{space 2} .0129051{col 37}{space 1}   -1.41{col 46}{space 3}0.162{col 54}{space 4}-.0435951{col 67}{space 3} .0073235
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} .0003386{col 26}{space 2} .0200495{col 37}{space 1}    0.02{col 46}{space 3}0.987{col 54}{space 4}-.0392151{col 67}{space 3} .0398923
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

added scalar:
              e(meanb) =  {res}-.002

{txt}added scalar:
              e(meane) =  {res}.003

{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}     7,288
{txt}{col 49}F({res}  15{txt},{res}    186{txt}){col 67}= {res}      2.78
{txt}{col 49}Prob > F{col 67}= {res}    0.0006
{txt}{col 49}R-squared{col 67}= {res}    0.0230
{txt}{col 49}Adj R-squared{col 67}= {res}    0.0190
{txt}{col 49}Root MSE{col 67}= {res}    0.3576

{txt}{ralign 78:(Std. Err. adjusted for {res:187} clusters in hc_id)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1} e_use_equip{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2}  .020633{col 26}{space 2} .0131994{col 37}{space 1}    1.56{col 46}{space 3}0.120{col 54}{space 4}-.0054067{col 67}{space 3} .0466726
{txt}{space 1}b_use_equip {c |}{col 14}{res}{space 2}  .028675{col 26}{space 2} .0109747{col 37}{space 1}    2.61{col 46}{space 3}0.010{col 54}{space 4} .0070242{col 67}{space 3} .0503258
{txt}b_use_eq~p_d {c |}{col 14}{res}{space 2} -.038583{col 26}{space 2} .0114867{col 37}{space 1}   -3.36{col 46}{space 3}0.001{col 54}{space 4}-.0612439{col 67}{space 3}-.0159222
{txt}{space 1}c_tfull_hc2 {c |}{col 14}{res}{space 2} .0194581{col 26}{space 2} .0244356{col 37}{space 1}    0.80{col 46}{space 3}0.427{col 54}{space 4}-.0287486{col 67}{space 3} .0676647
{txt}c_tfull_b_~l {c |}{col 14}{res}{space 2} .0532342{col 26}{space 2} .0294861{col 37}{space 1}    1.81{col 46}{space 3}0.073{col 54}{space 4}-.0049359{col 67}{space 3} .1114043
{txt}c_tfull_b_~s {c |}{col 14}{res}{space 2} .0185941{col 26}{space 2} .0317321{col 37}{space 1}    0.59{col 46}{space 3}0.559{col 54}{space 4} -.044007{col 67}{space 3} .0811952
{txt}c_tfull_b_~d {c |}{col 14}{res}{space 2}-.0285961{col 26}{space 2} .0240344{col 37}{space 1}   -1.19{col 46}{space 3}0.236{col 54}{space 4}-.0760111{col 67}{space 3} .0188189
{txt}c_tfull_ed~r {c |}{col 14}{res}{space 2} .0014764{col 26}{space 2} .0016687{col 37}{space 1}    0.88{col 46}{space 3}0.377{col 54}{space 4}-.0018155{col 67}{space 3} .0047684
{txt}c_tfull_b_~x {c |}{col 14}{res}{space 2}-.0121172{col 26}{space 2} .0071978{col 37}{space 1}   -1.68{col 46}{space 3}0.094{col 54}{space 4}-.0263171{col 67}{space 3} .0020826
{txt}c_trea~l_hc2 {c |}{col 14}{res}{space 2} .0122057{col 26}{space 2} .0306592{col 37}{space 1}    0.40{col 46}{space 3}0.691{col 54}{space 4}-.0482787{col 67}{space 3} .0726901
{txt}c_treatful.. {c |}{col 14}{res}{space 2}-.0519723{col 26}{space 2} .0350856{col 37}{space 1}   -1.48{col 46}{space 3}0.140{col 54}{space 4}-.1211891{col 67}{space 3} .0172446
{txt}c_treatful.. {c |}{col 14}{res}{space 2}-.0254428{col 26}{space 2} .0381144{col 37}{space 1}   -0.67{col 46}{space 3}0.505{col 54}{space 4}-.1006349{col 67}{space 3} .0497494
{txt}c_treatful.. {c |}{col 14}{res}{space 2} .0416026{col 26}{space 2} .0263689{col 37}{space 1}    1.58{col 46}{space 3}0.116{col 54}{space 4} -.010418{col 67}{space 3} .0936231
{txt}c_treatful.. {c |}{col 14}{res}{space 2}   .00077{col 26}{space 2} .0023273{col 37}{space 1}    0.33{col 46}{space 3}0.741{col 54}{space 4}-.0038213{col 67}{space 3} .0053614
{txt}c_treatful.. {c |}{col 14}{res}{space 2} .0023073{col 26}{space 2} .0098981{col 37}{space 1}    0.23{col 46}{space 3}0.816{col 54}{space 4}-.0172196{col 67}{space 3} .0218342
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} .7588558{col 26}{space 2} .0137489{col 37}{space 1}   55.19{col 46}{space 3}0.000{col 54}{space 4}  .731732{col 67}{space 3} .7859795
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

added scalar:
              e(meanb) =  {res}.664

{txt}added scalar:
              e(meane) =  {res}.767

{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}     7,288
{txt}{col 49}F({res}  15{txt},{res}    186{txt}){col 67}= {res}      9.17
{txt}{col 49}Prob > F{col 67}= {res}    0.0000
{txt}{col 49}R-squared{col 67}= {res}    0.0842
{txt}{col 49}Adj R-squared{col 67}= {res}    0.0805
{txt}{col 49}Root MSE{col 67}= {res}   56.5631

{txt}{ralign 78:(Std. Err. adjusted for {res:187} clusters in hc_id)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}  e_tot_wait{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2} .1420693{col 26}{space 2}  2.82944{col 37}{space 1}    0.05{col 46}{space 3}0.960{col 54}{space 4}-5.439851{col 67}{space 3}  5.72399
{txt}{space 2}b_tot_wait {c |}{col 14}{res}{space 2} .0614162{col 26}{space 2} .0109109{col 37}{space 1}    5.63{col 46}{space 3}0.000{col 54}{space 4} .0398912{col 67}{space 3} .0829413
{txt}b_tot_wait_d {c |}{col 14}{res}{space 2} 1.904124{col 26}{space 2}  1.67596{col 37}{space 1}    1.14{col 46}{space 3}0.257{col 54}{space 4} -1.40221{col 67}{space 3} 5.210458
{txt}{space 1}c_tfull_hc2 {c |}{col 14}{res}{space 2}-21.10523{col 26}{space 2} 4.419238{col 37}{space 1}   -4.78{col 46}{space 3}0.000{col 54}{space 4} -29.8235{col 67}{space 3}-12.38695
{txt}c_tfull_b_~l {c |}{col 14}{res}{space 2}-2.680846{col 26}{space 2}  6.07065{col 37}{space 1}   -0.44{col 46}{space 3}0.659{col 54}{space 4}-14.65702{col 67}{space 3} 9.295334
{txt}c_tfull_b_~s {c |}{col 14}{res}{space 2} 2.166693{col 26}{space 2} 7.173606{col 37}{space 1}    0.30{col 46}{space 3}0.763{col 54}{space 4} -11.9854{col 67}{space 3} 16.31878
{txt}c_tfull_b_~d {c |}{col 14}{res}{space 2} 1.011808{col 26}{space 2} 3.644889{col 37}{space 1}    0.28{col 46}{space 3}0.782{col 54}{space 4}-6.178828{col 67}{space 3} 8.202445
{txt}c_tfull_ed~r {c |}{col 14}{res}{space 2} -.477585{col 26}{space 2} .2519562{col 37}{space 1}   -1.90{col 46}{space 3}0.060{col 54}{space 4}-.9746443{col 67}{space 3} .0194742
{txt}c_tfull_b_~x {c |}{col 14}{res}{space 2} -3.77829{col 26}{space 2} 1.211574{col 37}{space 1}   -3.12{col 46}{space 3}0.002{col 54}{space 4}-6.168484{col 67}{space 3}-1.388096
{txt}c_trea~l_hc2 {c |}{col 14}{res}{space 2} 10.12152{col 26}{space 2} 6.350648{col 37}{space 1}    1.59{col 46}{space 3}0.113{col 54}{space 4} -2.40704{col 67}{space 3} 22.65008
{txt}c_treatful.. {c |}{col 14}{res}{space 2} 15.70676{col 26}{space 2} 7.707062{col 37}{space 1}    2.04{col 46}{space 3}0.043{col 54}{space 4} .5022644{col 67}{space 3} 30.91125
{txt}c_treatful.. {c |}{col 14}{res}{space 2}-4.748162{col 26}{space 2} 8.710693{col 37}{space 1}   -0.55{col 46}{space 3}0.586{col 54}{space 4}-21.93262{col 67}{space 3} 12.43629
{txt}c_treatful.. {c |}{col 14}{res}{space 2} 9.803733{col 26}{space 2} 4.790751{col 37}{space 1}    2.05{col 46}{space 3}0.042{col 54}{space 4} .3525387{col 67}{space 3} 19.25493
{txt}c_treatful.. {c |}{col 14}{res}{space 2}-.0490976{col 26}{space 2} .3514461{col 37}{space 1}   -0.14{col 46}{space 3}0.889{col 54}{space 4}-.7424306{col 67}{space 3} .6442354
{txt}c_treatful.. {c |}{col 14}{res}{space 2} 1.551518{col 26}{space 2} 1.708146{col 37}{space 1}    0.91{col 46}{space 3}0.365{col 54}{space 4}-1.818313{col 67}{space 3} 4.921348
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} 69.73575{col 26}{space 2} 2.227739{col 37}{space 1}   31.30{col 46}{space 3}0.000{col 54}{space 4} 65.34087{col 67}{space 3} 74.13063
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

added scalar:
              e(meanb) =  {res}101.501

{txt}added scalar:
              e(meane) =  {res}77.701

{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}     7,288
{txt}{col 49}F({res}  15{txt},{res}    186{txt}){col 67}= {res}      0.61
{txt}{col 49}Prob > F{col 67}= {res}    0.8644
{txt}{col 49}R-squared{col 67}= {res}    0.0263
{txt}{col 49}Adj R-squared{col 67}= {res}    0.0223
{txt}{col 49}Root MSE{col 67}= {res}    0.0419

{txt}{ralign 78:(Std. Err. adjusted for {res:187} clusters in hc_id)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}   e_trained{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2} .0003859{col 26}{space 2} .0015293{col 37}{space 1}    0.25{col 46}{space 3}0.801{col 54}{space 4} -.002631{col 67}{space 3} .0034029
{txt}{space 3}b_trained {c |}{col 14}{res}{space 2} .1665137{col 26}{space 2} .1516325{col 37}{space 1}    1.10{col 46}{space 3}0.274{col 54}{space 4}-.1326268{col 67}{space 3} .4656543
{txt}{space 1}b_trained_d {c |}{col 14}{res}{space 2}-.0002396{col 26}{space 2} .0011097{col 37}{space 1}   -0.22{col 46}{space 3}0.829{col 54}{space 4}-.0024288{col 67}{space 3} .0019496
{txt}{space 1}c_tfull_hc2 {c |}{col 14}{res}{space 2}-.0041278{col 26}{space 2} .0037937{col 37}{space 1}   -1.09{col 46}{space 3}0.278{col 54}{space 4}-.0116119{col 67}{space 3} .0033564
{txt}c_tfull_b_~l {c |}{col 14}{res}{space 2}-.0034973{col 26}{space 2} .0032606{col 37}{space 1}   -1.07{col 46}{space 3}0.285{col 54}{space 4}-.0099299{col 67}{space 3} .0029352
{txt}c_tfull_b_~s {c |}{col 14}{res}{space 2}-.0003405{col 26}{space 2} .0011451{col 37}{space 1}   -0.30{col 46}{space 3}0.767{col 54}{space 4}-.0025995{col 67}{space 3} .0019185
{txt}c_tfull_b_~d {c |}{col 14}{res}{space 2}-.0011753{col 26}{space 2} .0016569{col 37}{space 1}   -0.71{col 46}{space 3}0.479{col 54}{space 4}-.0044441{col 67}{space 3} .0020935
{txt}c_tfull_ed~r {c |}{col 14}{res}{space 2}-.0002736{col 26}{space 2} .0001575{col 37}{space 1}   -1.74{col 46}{space 3}0.084{col 54}{space 4}-.0005843{col 67}{space 3}  .000037
{txt}c_tfull_b_~x {c |}{col 14}{res}{space 2} .0006012{col 26}{space 2} .0004468{col 37}{space 1}    1.35{col 46}{space 3}0.180{col 54}{space 4}-.0002803{col 67}{space 3} .0014827
{txt}c_trea~l_hc2 {c |}{col 14}{res}{space 2} .0023263{col 26}{space 2}  .004724{col 37}{space 1}    0.49{col 46}{space 3}0.623{col 54}{space 4}-.0069932{col 67}{space 3} .0116459
{txt}c_treatful.. {c |}{col 14}{res}{space 2} .0015546{col 26}{space 2} .0042526{col 37}{space 1}    0.37{col 46}{space 3}0.715{col 54}{space 4}-.0068349{col 67}{space 3} .0099441
{txt}c_treatful.. {c |}{col 14}{res}{space 2} 6.12e-06{col 26}{space 2} .0011302{col 37}{space 1}    0.01{col 46}{space 3}0.996{col 54}{space 4}-.0022235{col 67}{space 3} .0022358
{txt}c_treatful.. {c |}{col 14}{res}{space 2}  .000958{col 26}{space 2} .0014834{col 37}{space 1}    0.65{col 46}{space 3}0.519{col 54}{space 4}-.0019684{col 67}{space 3} .0038844
{txt}c_treatful.. {c |}{col 14}{res}{space 2} .0003482{col 26}{space 2} .0002174{col 37}{space 1}    1.60{col 46}{space 3}0.111{col 54}{space 4}-.0000806{col 67}{space 3}  .000777
{txt}c_treatful.. {c |}{col 14}{res}{space 2}-.0010072{col 26}{space 2} .0007401{col 37}{space 1}   -1.36{col 46}{space 3}0.175{col 54}{space 4}-.0024672{col 67}{space 3} .0004527
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} .8314509{col 26}{space 2} .1517375{col 37}{space 1}    5.48{col 46}{space 3}0.000{col 54}{space 4} .5321031{col 67}{space 3} 1.130799
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

added scalar:
              e(meanb) =  {res}.999

{txt}added scalar:
              e(meane) =  {res}.998

{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}     7,288
{txt}{col 49}F({res}  15{txt},{res}    186{txt}){col 67}= {res}      1.97
{txt}{col 49}Prob > F{col 67}= {res}    0.0195
{txt}{col 49}R-squared{col 67}= {res}    0.0390
{txt}{col 49}Adj R-squared{col 67}= {res}    0.0350
{txt}{col 49}Root MSE{col 67}= {res}    0.1911

{txt}{ralign 78:(Std. Err. adjusted for {res:187} clusters in hc_id)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}e_exam_pri~y{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2} .0152312{col 26}{space 2} .0082181{col 37}{space 1}    1.85{col 46}{space 3}0.065{col 54}{space 4}-.0009815{col 67}{space 3} .0314439
{txt}b_exam_pri~y {c |}{col 14}{res}{space 2} .0309938{col 26}{space 2} .0100346{col 37}{space 1}    3.09{col 46}{space 3}0.002{col 54}{space 4} .0111975{col 67}{space 3} .0507901
{txt}b_exam_p~y_d {c |}{col 14}{res}{space 2} .0004966{col 26}{space 2} .0060588{col 37}{space 1}    0.08{col 46}{space 3}0.935{col 54}{space 4}-.0114563{col 67}{space 3} .0124495
{txt}{space 1}c_tfull_hc2 {c |}{col 14}{res}{space 2}-.0344279{col 26}{space 2} .0176472{col 37}{space 1}   -1.95{col 46}{space 3}0.053{col 54}{space 4}-.0692423{col 67}{space 3} .0003865
{txt}c_tfull_b_~l {c |}{col 14}{res}{space 2}  .006791{col 26}{space 2} .0234509{col 37}{space 1}    0.29{col 46}{space 3}0.772{col 54}{space 4} -.039473{col 67}{space 3}  .053055
{txt}c_tfull_b_~s {c |}{col 14}{res}{space 2}-.0252713{col 26}{space 2} .0244008{col 37}{space 1}   -1.04{col 46}{space 3}0.302{col 54}{space 4}-.0734092{col 67}{space 3} .0228665
{txt}c_tfull_b_~d {c |}{col 14}{res}{space 2} -.005965{col 26}{space 2} .0139733{col 37}{space 1}   -0.43{col 46}{space 3}0.670{col 54}{space 4}-.0335315{col 67}{space 3} .0216015
{txt}c_tfull_ed~r {c |}{col 14}{res}{space 2}-.0016757{col 26}{space 2} .0008853{col 37}{space 1}   -1.89{col 46}{space 3}0.060{col 54}{space 4}-.0034222{col 67}{space 3} .0000709
{txt}c_tfull_b_~x {c |}{col 14}{res}{space 2}-.0022449{col 26}{space 2}  .004816{col 37}{space 1}   -0.47{col 46}{space 3}0.642{col 54}{space 4}-.0117459{col 67}{space 3}  .007256
{txt}c_trea~l_hc2 {c |}{col 14}{res}{space 2} .0183225{col 26}{space 2} .0204946{col 37}{space 1}    0.89{col 46}{space 3}0.372{col 54}{space 4}-.0221093{col 67}{space 3} .0587543
{txt}c_treatful.. {c |}{col 14}{res}{space 2} -.017375{col 26}{space 2} .0254419{col 37}{space 1}   -0.68{col 46}{space 3}0.496{col 54}{space 4}-.0675668{col 67}{space 3} .0328167
{txt}c_treatful.. {c |}{col 14}{res}{space 2}-.0066305{col 26}{space 2} .0234244{col 37}{space 1}   -0.28{col 46}{space 3}0.777{col 54}{space 4}-.0528421{col 67}{space 3} .0395812
{txt}c_treatful.. {c |}{col 14}{res}{space 2} .0065655{col 26}{space 2} .0159388{col 37}{space 1}    0.41{col 46}{space 3}0.681{col 54}{space 4}-.0248786{col 67}{space 3} .0380096
{txt}c_treatful.. {c |}{col 14}{res}{space 2} .0019113{col 26}{space 2} .0012007{col 37}{space 1}    1.59{col 46}{space 3}0.113{col 54}{space 4}-.0004574{col 67}{space 3} .0042799
{txt}c_treatful.. {c |}{col 14}{res}{space 2}-.0043857{col 26}{space 2} .0069769{col 37}{space 1}   -0.63{col 46}{space 3}0.530{col 54}{space 4}-.0181497{col 67}{space 3} .0093783
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} .9100215{col 26}{space 2} .0117122{col 37}{space 1}   77.70{col 46}{space 3}0.000{col 54}{space 4} .8869156{col 67}{space 3} .9331274
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

added scalar:
              e(meanb) =  {res}.89

{txt}added scalar:
              e(meane) =  {res}.938

{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}     7,288
{txt}{col 49}F({res}  15{txt},{res}    186{txt}){col 67}= {res}      3.74
{txt}{col 49}Prob > F{col 67}= {res}    0.0000
{txt}{col 49}R-squared{col 67}= {res}    0.0297
{txt}{col 49}Adj R-squared{col 67}= {res}    0.0256
{txt}{col 49}Root MSE{col 67}= {res}    0.3470

{txt}{ralign 78:(Std. Err. adjusted for {res:187} clusters in hc_id)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}  e_taketest{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2} .0127186{col 26}{space 2} .0142411{col 37}{space 1}    0.89{col 46}{space 3}0.373{col 54}{space 4}-.0153763{col 67}{space 3} .0408135
{txt}{space 2}b_taketest {c |}{col 14}{res}{space 2} .0655894{col 26}{space 2}  .012831{col 37}{space 1}    5.11{col 46}{space 3}0.000{col 54}{space 4} .0402764{col 67}{space 3} .0909025
{txt}b_taketest_d {c |}{col 14}{res}{space 2}-.0114468{col 26}{space 2} .0100049{col 37}{space 1}   -1.14{col 46}{space 3}0.254{col 54}{space 4}-.0311845{col 67}{space 3}  .008291
{txt}{space 1}c_tfull_hc2 {c |}{col 14}{res}{space 2} .0183682{col 26}{space 2} .0283256{col 37}{space 1}    0.65{col 46}{space 3}0.517{col 54}{space 4}-.0375125{col 67}{space 3} .0742489
{txt}c_tfull_b_~l {c |}{col 14}{res}{space 2} .0375469{col 26}{space 2} .0332345{col 37}{space 1}    1.13{col 46}{space 3}0.260{col 54}{space 4}-.0280181{col 67}{space 3} .1031119
{txt}c_tfull_b_~s {c |}{col 14}{res}{space 2} .0170451{col 26}{space 2} .0337742{col 37}{space 1}    0.50{col 46}{space 3}0.614{col 54}{space 4}-.0495847{col 67}{space 3} .0836749
{txt}c_tfull_b_~d {c |}{col 14}{res}{space 2}-.0228907{col 26}{space 2} .0237885{col 37}{space 1}   -0.96{col 46}{space 3}0.337{col 54}{space 4}-.0698207{col 67}{space 3} .0240394
{txt}c_tfull_ed~r {c |}{col 14}{res}{space 2} .0002856{col 26}{space 2} .0015573{col 37}{space 1}    0.18{col 46}{space 3}0.855{col 54}{space 4}-.0027867{col 67}{space 3} .0033579
{txt}c_tfull_b_~x {c |}{col 14}{res}{space 2}-.0150285{col 26}{space 2} .0077503{col 37}{space 1}   -1.94{col 46}{space 3}0.054{col 54}{space 4}-.0303183{col 67}{space 3} .0002613
{txt}c_trea~l_hc2 {c |}{col 14}{res}{space 2} .0015248{col 26}{space 2} .0330786{col 37}{space 1}    0.05{col 46}{space 3}0.963{col 54}{space 4}-.0637327{col 67}{space 3} .0667823
{txt}c_treatful.. {c |}{col 14}{res}{space 2}-.0419312{col 26}{space 2} .0379916{col 37}{space 1}   -1.10{col 46}{space 3}0.271{col 54}{space 4} -.116881{col 67}{space 3} .0330185
{txt}c_treatful.. {c |}{col 14}{res}{space 2} .0092137{col 26}{space 2} .0419383{col 37}{space 1}    0.22{col 46}{space 3}0.826{col 54}{space 4}-.0735223{col 67}{space 3} .0919496
{txt}c_treatful.. {c |}{col 14}{res}{space 2} .0526384{col 26}{space 2} .0302014{col 37}{space 1}    1.74{col 46}{space 3}0.083{col 54}{space 4}-.0069429{col 67}{space 3} .1122198
{txt}c_treatful.. {c |}{col 14}{res}{space 2} .0014512{col 26}{space 2} .0022467{col 37}{space 1}    0.65{col 46}{space 3}0.519{col 54}{space 4}-.0029811{col 67}{space 3} .0058835
{txt}c_treatful.. {c |}{col 14}{res}{space 2} .0006436{col 26}{space 2} .0102825{col 37}{space 1}    0.06{col 46}{space 3}0.950{col 54}{space 4}-.0196417{col 67}{space 3} .0209288
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} .7424367{col 26}{space 2} .0152575{col 37}{space 1}   48.66{col 46}{space 3}0.000{col 54}{space 4} .7123368{col 67}{space 3} .7725367
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

added scalar:
              e(meanb) =  {res}.629

{txt}added scalar:
              e(meane) =  {res}.78

{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}     7,288
{txt}{col 49}F({res}  15{txt},{res}    186{txt}){col 67}= {res}      2.04
{txt}{col 49}Prob > F{col 67}= {res}    0.0145
{txt}{col 49}R-squared{col 67}= {res}    0.0192
{txt}{col 49}Adj R-squared{col 67}= {res}    0.0152
{txt}{col 49}Root MSE{col 67}= {res}    0.3972

{txt}{ralign 78:(Std. Err. adjusted for {res:187} clusters in hc_id)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}e_diagnosi~d{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2} .0233889{col 26}{space 2} .0130454{col 37}{space 1}    1.79{col 46}{space 3}0.075{col 54}{space 4}-.0023471{col 67}{space 3}  .049125
{txt}b_diagnos~ed {c |}{col 14}{res}{space 2} .0472526{col 26}{space 2} .0116581{col 37}{space 1}    4.05{col 46}{space 3}0.000{col 54}{space 4} .0242535{col 67}{space 3} .0702517
{txt}b_diagno~d_d {c |}{col 14}{res}{space 2}-.0035925{col 26}{space 2} .0132836{col 37}{space 1}   -0.27{col 46}{space 3}0.787{col 54}{space 4}-.0297983{col 67}{space 3} .0226133
{txt}{space 1}c_tfull_hc2 {c |}{col 14}{res}{space 2} .0330992{col 26}{space 2} .0247441{col 37}{space 1}    1.34{col 46}{space 3}0.183{col 54}{space 4}-.0157159{col 67}{space 3} .0819144
{txt}c_tfull_b_~l {c |}{col 14}{res}{space 2} .0596648{col 26}{space 2}  .032642{col 37}{space 1}    1.83{col 46}{space 3}0.069{col 54}{space 4}-.0047313{col 67}{space 3} .1240608
{txt}c_tfull_b_~s {c |}{col 14}{res}{space 2} .0251495{col 26}{space 2} .0368098{col 37}{space 1}    0.68{col 46}{space 3}0.495{col 54}{space 4}-.0474688{col 67}{space 3} .0977678
{txt}c_tfull_b_~d {c |}{col 14}{res}{space 2} .0138809{col 26}{space 2} .0265833{col 37}{space 1}    0.52{col 46}{space 3}0.602{col 54}{space 4}-.0385627{col 67}{space 3} .0663245
{txt}c_tfull_ed~r {c |}{col 14}{res}{space 2} .0016107{col 26}{space 2} .0017848{col 37}{space 1}    0.90{col 46}{space 3}0.368{col 54}{space 4}-.0019103{col 67}{space 3} .0051316
{txt}c_tfull_b_~x {c |}{col 14}{res}{space 2} .0022502{col 26}{space 2} .0075643{col 37}{space 1}    0.30{col 46}{space 3}0.766{col 54}{space 4}-.0126727{col 67}{space 3} .0171732
{txt}c_trea~l_hc2 {c |}{col 14}{res}{space 2}-.0218436{col 26}{space 2} .0309017{col 37}{space 1}   -0.71{col 46}{space 3}0.481{col 54}{space 4}-.0828064{col 67}{space 3} .0391192
{txt}c_treatful.. {c |}{col 14}{res}{space 2}-.0576053{col 26}{space 2} .0360488{col 37}{space 1}   -1.60{col 46}{space 3}0.112{col 54}{space 4}-.1287224{col 67}{space 3} .0135118
{txt}c_treatful.. {c |}{col 14}{res}{space 2} .0135804{col 26}{space 2} .0399143{col 37}{space 1}    0.34{col 46}{space 3}0.734{col 54}{space 4}-.0651625{col 67}{space 3} .0923234
{txt}c_treatful.. {c |}{col 14}{res}{space 2}-.0091129{col 26}{space 2} .0344928{col 37}{space 1}   -0.26{col 46}{space 3}0.792{col 54}{space 4}-.0771602{col 67}{space 3} .0589345
{txt}c_treatful.. {c |}{col 14}{res}{space 2}-.0013316{col 26}{space 2} .0026762{col 37}{space 1}   -0.50{col 46}{space 3}0.619{col 54}{space 4}-.0066113{col 67}{space 3}  .003948
{txt}c_treatful.. {c |}{col 14}{res}{space 2}-.0102144{col 26}{space 2} .0103338{col 37}{space 1}   -0.99{col 46}{space 3}0.324{col 54}{space 4}-.0306009{col 67}{space 3} .0101721
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} .6971462{col 26}{space 2} .0126527{col 37}{space 1}   55.10{col 46}{space 3}0.000{col 54}{space 4} .6721849{col 67}{space 3} .7221074
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

added scalar:
              e(meanb) =  {res}.596

{txt}added scalar:
              e(meane) =  {res}.723
{txt}
{com}.                 
.         local y = 8
{txt}
{com}.         foreach x in `treatmentqual_hclevel_ns' {c -(}
{txt}  2{com}.                 areg  e_`x' `var' b_`x' b_`x'_d `e_controls_tfull_hc' ``var'_hc_int_e_controls' if uniquehc == 1 , robust a(district)
{txt}  3{com}.         
.                 estimates store m`y'
{txt}  4{com}.                 
.                 qui sum e_`x' if `var' == 0
{txt}  5{com}.                 local meane_`x' r(mean)
{txt}  6{com}.                 local meane_`x' = string(`meane_`x'',"%9.3fc")
{txt}  7{com}.                 
.                 qui sum b_`x' if `var' == 0
{txt}  8{com}.                 local meanb_`x' r(mean)
{txt}  9{com}.                 local meanb_`x' = string(`meanb_`x'',"%9.3fc")
{txt} 10{com}.                 
.                 estadd scalar meanb = `meanb_`x''
{txt} 11{com}.                 estadd scalar meane = `meane_`x''
{txt} 12{com}.                 
.                 local y = `y' + 1
{txt} 13{com}.                 {c )-}
{res}
{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}       187
{txt}{col 49}F({res}  15{txt},{res}    156{txt}){col 67}= {res}      1.03
{txt}{col 49}Prob > F{col 67}= {res}    0.4321
{txt}{col 49}R-squared{col 67}= {res}    0.2993
{txt}{col 49}Adj R-squared{col 67}= {res}    0.1645
{txt}{col 49}Root MSE{col 67}= {res}    0.2704

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}e_h_percen~v{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2} .0166414{col 26}{space 2} .0406992{col 37}{space 1}    0.41{col 46}{space 3}0.683{col 54}{space 4}-.0637512{col 67}{space 3}  .097034
{txt}b_h_percen~v {c |}{col 14}{res}{space 2} .1252485{col 26}{space 2} .1203439{col 37}{space 1}    1.04{col 46}{space 3}0.300{col 54}{space 4}-.1124654{col 67}{space 3} .3629624
{txt}b_h_perc~v_d {c |}{col 14}{res}{space 2}-.0223861{col 26}{space 2} .0763594{col 37}{space 1}   -0.29{col 46}{space 3}0.770{col 54}{space 4}-.1732179{col 67}{space 3} .1284458
{txt}c_tf~_hc_hc2 {c |}{col 14}{res}{space 2} .0717773{col 26}{space 2} .0944699{col 37}{space 1}    0.76{col 46}{space 3}0.449{col 54}{space 4}-.1148279{col 67}{space 3} .2583824
{txt}c_tfull_hc~l {c |}{col 14}{res}{space 2}-.0432236{col 26}{space 2} .1006455{col 37}{space 1}   -0.43{col 46}{space 3}0.668{col 54}{space 4}-.2420275{col 67}{space 3} .1555802
{txt}c_tfull_hc~s {c |}{col 14}{res}{space 2}-.0068509{col 26}{space 2} .1265406{col 37}{space 1}   -0.05{col 46}{space 3}0.957{col 54}{space 4} -.256805{col 67}{space 3} .2431033
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2} .4569619{col 26}{space 2} .2344076{col 37}{space 1}    1.95{col 46}{space 3}0.053{col 54}{space 4}-.0060605{col 67}{space 3} .9199843
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2}-.0324851{col 26}{space 2} .0424418{col 37}{space 1}   -0.77{col 46}{space 3}0.445{col 54}{space 4}-.1163198{col 67}{space 3} .0513497
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2} .1079448{col 26}{space 2} .1196413{col 37}{space 1}    0.90{col 46}{space 3}0.368{col 54}{space 4}-.1283812{col 67}{space 3} .3442707
{txt}c_treatful.. {c |}{col 14}{res}{space 2}-.0241286{col 26}{space 2} .1105906{col 37}{space 1}   -0.22{col 46}{space 3}0.828{col 54}{space 4}-.2425768{col 67}{space 3} .1943196
{txt}c_treatful.. {c |}{col 14}{res}{space 2} .0804136{col 26}{space 2} .1204635{col 37}{space 1}    0.67{col 46}{space 3}0.505{col 54}{space 4}-.1575364{col 67}{space 3} .3183637
{txt}c_treatful.. {c |}{col 14}{res}{space 2}-.1609322{col 26}{space 2} .1592586{col 37}{space 1}   -1.01{col 46}{space 3}0.314{col 54}{space 4}-.4755137{col 67}{space 3} .1536493
{txt}c_treatful.. {c |}{col 14}{res}{space 2}-.2977496{col 26}{space 2} .3980171{col 37}{space 1}   -0.75{col 46}{space 3}0.456{col 54}{space 4}-1.083948{col 67}{space 3} .4884485
{txt}c_treatful.. {c |}{col 14}{res}{space 2}-.0081183{col 26}{space 2} .0510173{col 37}{space 1}   -0.16{col 46}{space 3}0.874{col 54}{space 4}-.1088922{col 67}{space 3} .0926555
{txt}c_treatful.. {c |}{col 14}{res}{space 2}-.0561844{col 26}{space 2} .1456951{col 37}{space 1}   -0.39{col 46}{space 3}0.700{col 54}{space 4}-.3439742{col 67}{space 3} .2316054
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} .3790807{col 26}{space 2} .0428813{col 37}{space 1}    8.84{col 46}{space 3}0.000{col 54}{space 4} .2943778{col 67}{space 3} .4637836
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

added scalar:
              e(meanb) =  {res}.267

{txt}added scalar:
              e(meane) =  {res}.418

{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}       187
{txt}{col 49}F({res}  15{txt},{res}    156{txt}){col 67}= {res}      1.38
{txt}{col 49}Prob > F{col 67}= {res}    0.1633
{txt}{col 49}R-squared{col 67}= {res}    0.1663
{txt}{col 49}Adj R-squared{col 67}= {res}    0.0060
{txt}{col 49}Root MSE{col 67}= {res}    0.1213

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}e_h_cleanl~s{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2} .0156218{col 26}{space 2} .0186064{col 37}{space 1}    0.84{col 46}{space 3}0.402{col 54}{space 4}-.0211312{col 67}{space 3} .0523747
{txt}b_h_cleanl~s {c |}{col 14}{res}{space 2} .1381182{col 26}{space 2} .0674418{col 37}{space 1}    2.05{col 46}{space 3}0.042{col 54}{space 4} .0049012{col 67}{space 3} .2713352
{txt}b_h_clea~s_d {c |}{col 14}{res}{space 2}-.0009039{col 26}{space 2} .0364471{col 37}{space 1}   -0.02{col 46}{space 3}0.980{col 54}{space 4}-.0728975{col 67}{space 3} .0710897
{txt}c_tf~_hc_hc2 {c |}{col 14}{res}{space 2}-.0016452{col 26}{space 2} .0403798{col 37}{space 1}   -0.04{col 46}{space 3}0.968{col 54}{space 4} -.081407{col 67}{space 3} .0781165
{txt}c_tfull_hc~l {c |}{col 14}{res}{space 2}-.0220045{col 26}{space 2} .0406305{col 37}{space 1}   -0.54{col 46}{space 3}0.589{col 54}{space 4}-.1022614{col 67}{space 3} .0582523
{txt}c_tfull_hc~s {c |}{col 14}{res}{space 2} .0753962{col 26}{space 2} .0413393{col 37}{space 1}    1.82{col 46}{space 3}0.070{col 54}{space 4}-.0062609{col 67}{space 3} .1570533
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2} .0687728{col 26}{space 2} .0976993{col 37}{space 1}    0.70{col 46}{space 3}0.483{col 54}{space 4}-.1242115{col 67}{space 3} .2617571
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2} .0001736{col 26}{space 2} .0143435{col 37}{space 1}    0.01{col 46}{space 3}0.990{col 54}{space 4}-.0281589{col 67}{space 3}  .028506
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2} .0401863{col 26}{space 2} .0388519{col 37}{space 1}    1.03{col 46}{space 3}0.303{col 54}{space 4}-.0365574{col 67}{space 3} .1169299
{txt}c_treatful.. {c |}{col 14}{res}{space 2}-.0265505{col 26}{space 2}  .051299{col 37}{space 1}   -0.52{col 46}{space 3}0.605{col 54}{space 4}-.1278807{col 67}{space 3} .0747797
{txt}c_treatful.. {c |}{col 14}{res}{space 2} .0507295{col 26}{space 2} .0494888{col 37}{space 1}    1.03{col 46}{space 3}0.307{col 54}{space 4}-.0470251{col 67}{space 3} .1484841
{txt}c_treatful.. {c |}{col 14}{res}{space 2}-.0842129{col 26}{space 2} .0491404{col 37}{space 1}   -1.71{col 46}{space 3}0.089{col 54}{space 4}-.1812794{col 67}{space 3} .0128536
{txt}c_treatful.. {c |}{col 14}{res}{space 2}-.0455962{col 26}{space 2} .1717697{col 37}{space 1}   -0.27{col 46}{space 3}0.791{col 54}{space 4}-.3848906{col 67}{space 3} .2936983
{txt}c_treatful.. {c |}{col 14}{res}{space 2}-.0198815{col 26}{space 2} .0205034{col 37}{space 1}   -0.97{col 46}{space 3}0.334{col 54}{space 4}-.0603816{col 67}{space 3} .0206185
{txt}c_treatful.. {c |}{col 14}{res}{space 2} .0298598{col 26}{space 2} .0563311{col 37}{space 1}    0.53{col 46}{space 3}0.597{col 54}{space 4}-.0814104{col 67}{space 3}   .14113
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} .6912171{col 26}{space 2} .0564951{col 37}{space 1}   12.24{col 46}{space 3}0.000{col 54}{space 4} .5796231{col 67}{space 3}  .802811
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

added scalar:
              e(meanb) =  {res}.81

{txt}added scalar:
              e(meane) =  {res}.802

{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}       187
{txt}{col 49}F({res}  15{txt},{res}    156{txt}){col 67}= {res}      1.61
{txt}{col 49}Prob > F{col 67}= {res}    0.0764
{txt}{col 49}R-squared{col 67}= {res}    0.4211
{txt}{col 49}Adj R-squared{col 67}= {res}    0.3098
{txt}{col 49}Root MSE{col 67}= {res}    0.1912

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}e_h_meanst~k{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2} .0586989{col 26}{space 2} .0285105{col 37}{space 1}    2.06{col 46}{space 3}0.041{col 54}{space 4} .0023825{col 67}{space 3} .1150154
{txt}b_h_meanst~k {c |}{col 14}{res}{space 2}   .00611{col 26}{space 2} .1094642{col 37}{space 1}    0.06{col 46}{space 3}0.956{col 54}{space 4}-.2101133{col 67}{space 3} .2223333
{txt}b_h_mean~k_d {c |}{col 14}{res}{space 2} .0063852{col 26}{space 2} .0365119{col 37}{space 1}    0.17{col 46}{space 3}0.861{col 54}{space 4}-.0657363{col 67}{space 3} .0785068
{txt}c_tf~_hc_hc2 {c |}{col 14}{res}{space 2}-.0789111{col 26}{space 2}  .056113{col 37}{space 1}   -1.41{col 46}{space 3}0.162{col 54}{space 4}-.1897504{col 67}{space 3} .0319281
{txt}c_tfull_hc~l {c |}{col 14}{res}{space 2} .0366926{col 26}{space 2} .0593634{col 37}{space 1}    0.62{col 46}{space 3}0.537{col 54}{space 4}-.0805671{col 67}{space 3} .1539524
{txt}c_tfull_hc~s {c |}{col 14}{res}{space 2}-.0041186{col 26}{space 2} .0551701{col 37}{space 1}   -0.07{col 46}{space 3}0.941{col 54}{space 4}-.1130954{col 67}{space 3} .1048582
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2}-.3010457{col 26}{space 2} .2161475{col 37}{space 1}   -1.39{col 46}{space 3}0.166{col 54}{space 4}-.7279992{col 67}{space 3} .1259078
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2}-.0629073{col 26}{space 2} .0200949{col 37}{space 1}   -3.13{col 46}{space 3}0.002{col 54}{space 4}-.1026005{col 67}{space 3}-.0232141
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2} .1697748{col 26}{space 2} .0604202{col 37}{space 1}    2.81{col 46}{space 3}0.006{col 54}{space 4} .0504276{col 67}{space 3}  .289122
{txt}c_treatful.. {c |}{col 14}{res}{space 2} .0582936{col 26}{space 2} .0748261{col 37}{space 1}    0.78{col 46}{space 3}0.437{col 54}{space 4}-.0895094{col 67}{space 3} .2060966
{txt}c_treatful.. {c |}{col 14}{res}{space 2}-.0594509{col 26}{space 2} .0770626{col 37}{space 1}   -0.77{col 46}{space 3}0.442{col 54}{space 4}-.2116716{col 67}{space 3} .0927698
{txt}c_treatful.. {c |}{col 14}{res}{space 2} .0625877{col 26}{space 2} .0722079{col 37}{space 1}    0.87{col 46}{space 3}0.387{col 54}{space 4}-.0800436{col 67}{space 3}  .205219
{txt}c_treatful.. {c |}{col 14}{res}{space 2} .5134903{col 26}{space 2} .2739913{col 37}{space 1}    1.87{col 46}{space 3}0.063{col 54}{space 4}-.0277212{col 67}{space 3} 1.054702
{txt}c_treatful.. {c |}{col 14}{res}{space 2}  .061846{col 26}{space 2} .0321391{col 37}{space 1}    1.92{col 46}{space 3}0.056{col 54}{space 4} -.001638{col 67}{space 3} .1253299
{txt}c_treatful.. {c |}{col 14}{res}{space 2}-.1944559{col 26}{space 2} .0688235{col 37}{space 1}   -2.83{col 46}{space 3}0.005{col 54}{space 4} -.330402{col 67}{space 3}-.0585098
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} .7309954{col 26}{space 2} .0991208{col 37}{space 1}    7.37{col 46}{space 3}0.000{col 54}{space 4} .5352034{col 67}{space 3} .9267875
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

added scalar:
              e(meanb) =  {res}.914

{txt}added scalar:
              e(meane) =  {res}.732
{txt}
{com}.                 
.         # delimit;
{txt}delimiter now ;
{com}.                 esttab m1 m2 m3 m4 m5 m6 m7 m8 m9 m10
>         using "${c -(}tables{c )-}/TableI9.tex", b(%5.3f) se(%5.3f)
>                 title(Treatment quality index non-standardized -- Subcomponents)
>                 keep(`var' _cons)
>                 varlabels (`var' "Full treatment" _cons "Constant")     
>                 starlevels(* .10 ** .05 *** .01)                
>                 mtitles("\textbf{c -(}\begin{c -(}tabular{c )-}[c]{c -(}@{c -(}{c )-}c@{c -(}{c )-}{c )-}Treatment\\quality\\index\end{c -(}tabular{c )-}{c )-}"
>                                 "\begin{c -(}tabular{c )-}[c]{c -(}@{c -(}{c )-}c@{c -(}{c )-}{c )-}Used\\equipment\end{c -(}tabular{c )-}"
>                                 "\begin{c -(}tabular{c )-}[c]{c -(}@{c -(}{c )-}c@{c -(}{c )-}{c )-}Waiting\\time\end{c -(}tabular{c )-}"
>                                 "\begin{c -(}tabular{c )-}[c]{c -(}@{c -(}{c )-}c@{c -(}{c )-}{c )-}Examined\\by trained\\staff\end{c -(}tabular{c )-}"
>                                 "\begin{c -(}tabular{c )-}[c]{c -(}@{c -(}{c )-}c@{c -(}{c )-}{c )-}Privacy\\during\\exam\end{c -(}tabular{c )-}"
>                                 "\begin{c -(}tabular{c )-}[c]{c -(}@{c -(}{c )-}c@{c -(}{c )-}{c )-}Received\\test when\\needed\end{c -(}tabular{c )-} "
>                                 "\begin{c -(}tabular{c )-}[c]{c -(}@{c -(}{c )-}c@{c -(}{c )-}{c )-}Diagnosis\\explained\\clearly\end{c -(}tabular{c )-}"
>                                 "\begin{c -(}tabular{c )-}[c]{c -(}@{c -(}{c )-}c@{c -(}{c )-}{c )-}\% staff\\presence\end{c -(}tabular{c )-}"
>                                 "\begin{c -(}tabular{c )-}[c]{c -(}@{c -(}{c )-}c@{c -(}{c )-}{c )-}Facility\\cleanliness\end{c -(}tabular{c )-}"
>                                 "\begin{c -(}tabular{c )-}[c]{c -(}@{c -(}{c )-}c@{c -(}{c )-}{c )-}Drug\\availability\end{c -(}tabular{c )-}")
>                 stats(N r2 meane meanb, labels("N" "R$^{c -(}2{c )-}$" "Mean control group endline" "Mean control group baseline") fmt(%9.0fc %9.3fc)) label booktabs nonotes replace
>         
>         ;
{res}{txt}(output written to {browse  `"/Users/fredericcochinard/Dropbox/ACT_Health_JOP_replication_file/3.Tables and Figures/Tables/TableI9.tex"'})

{com}.                 # delimit cr
{txt}delimiter now cr
{com}.         
.         ******************************************************************************
.         * Table I33: Robustness check – Excluding subcomponents of treatment quality *
.         ******************************************************************************
.         
.         * At endline:
.         
.         local treatmentqual_w treatqual_w1_z treatqual_w2_z treatqual_w3_z treatqual_w4_z treatqual_w5_z treatqual_w6_z treatqual_w7_z treatqual_w8_z treatqual_w9_z
{txt}
{com}.         
.         eststo clear
{txt}
{com}.         
.         local y = 1
{txt}
{com}.         foreach x in `treatmentqual_w' {c -(}
{txt}  2{com}.                 areg  e_`x' `var' b_`x' b_`x'_d `e_controls_tfull' ``var'_int_e_controls', robust cl(hc_id) a(district)
{txt}  3{com}.                 estimates store m`y'
{txt}  4{com}.                 local y = `y' + 1
{txt}  5{com}.                 {c )-}
{txt}note: b_treatqual_w1_z_d omitted because of collinearity
{res}
{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}     7,288
{txt}{col 49}F({res}  14{txt},{res}    186{txt}){col 67}= {res}      3.78
{txt}{col 49}Prob > F{col 67}= {res}    0.0000
{txt}{col 49}R-squared{col 67}= {res}    0.1192
{txt}{col 49}Adj R-squared{col 67}= {res}    0.1157
{txt}{col 49}Root MSE{col 67}= {res}    0.3349

{txt}{ralign 78:(Std. Err. adjusted for {res:187} clusters in hc_id)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}e_treatq~1_z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2} .0721537{col 26}{space 2} .0282122{col 37}{space 1}    2.56{col 46}{space 3}0.011{col 54}{space 4} .0164967{col 67}{space 3} .1278107
{txt}b_treatq~1_z {c |}{col 14}{res}{space 2} .0975916{col 26}{space 2} .0238451{col 37}{space 1}    4.09{col 46}{space 3}0.000{col 54}{space 4} .0505501{col 67}{space 3} .1446332
{txt}b_trea~1_z_d {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 1}c_tfull_hc2 {c |}{col 14}{res}{space 2}-.0870273{col 26}{space 2} .0579734{col 37}{space 1}   -1.50{col 46}{space 3}0.135{col 54}{space 4}-.2013972{col 67}{space 3} .0273426
{txt}c_tfull_b_~l {c |}{col 14}{res}{space 2}-.0377881{col 26}{space 2} .0617008{col 37}{space 1}   -0.61{col 46}{space 3}0.541{col 54}{space 4}-.1595115{col 67}{space 3} .0839353
{txt}c_tfull_b_~s {c |}{col 14}{res}{space 2} .0817251{col 26}{space 2} .0619705{col 37}{space 1}    1.32{col 46}{space 3}0.189{col 54}{space 4}-.0405303{col 67}{space 3} .2039806
{txt}c_tfull_b_~d {c |}{col 14}{res}{space 2}  .007023{col 26}{space 2} .0241002{col 37}{space 1}    0.29{col 46}{space 3}0.771{col 54}{space 4}-.0405217{col 67}{space 3} .0545678
{txt}c_tfull_ed~r {c |}{col 14}{res}{space 2}-.0039389{col 26}{space 2} .0015737{col 37}{space 1}   -2.50{col 46}{space 3}0.013{col 54}{space 4}-.0070436{col 67}{space 3}-.0008342
{txt}c_tfull_b_~x {c |}{col 14}{res}{space 2} .0007956{col 26}{space 2} .0081206{col 37}{space 1}    0.10{col 46}{space 3}0.922{col 54}{space 4}-.0152247{col 67}{space 3} .0168159
{txt}c_trea~l_hc2 {c |}{col 14}{res}{space 2} .0649406{col 26}{space 2} .0728962{col 37}{space 1}    0.89{col 46}{space 3}0.374{col 54}{space 4} -.078869{col 67}{space 3} .2087503
{txt}c_treatful.. {c |}{col 14}{res}{space 2}  .100577{col 26}{space 2} .0729885{col 37}{space 1}    1.38{col 46}{space 3}0.170{col 54}{space 4}-.0434147{col 67}{space 3} .2445688
{txt}c_treatful.. {c |}{col 14}{res}{space 2}-.1130366{col 26}{space 2} .0799943{col 37}{space 1}   -1.41{col 46}{space 3}0.159{col 54}{space 4}-.2708494{col 67}{space 3} .0447761
{txt}c_treatful.. {c |}{col 14}{res}{space 2} .0398472{col 26}{space 2} .0334974{col 37}{space 1}    1.19{col 46}{space 3}0.236{col 54}{space 4}-.0262365{col 67}{space 3} .1059308
{txt}c_treatful.. {c |}{col 14}{res}{space 2} .0026792{col 26}{space 2} .0021723{col 37}{space 1}    1.23{col 46}{space 3}0.219{col 54}{space 4}-.0016063{col 67}{space 3} .0069647
{txt}c_treatful.. {c |}{col 14}{res}{space 2}-.0212875{col 26}{space 2} .0131969{col 37}{space 1}   -1.61{col 46}{space 3}0.108{col 54}{space 4}-.0473224{col 67}{space 3} .0047474
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} .0002112{col 26}{space 2} .0214729{col 37}{space 1}    0.01{col 46}{space 3}0.992{col 54}{space 4}-.0421505{col 67}{space 3} .0425729
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)
note: b_treatqual_w2_z_d omitted because of collinearity
{res}
{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}     7,288
{txt}{col 49}F({res}  14{txt},{res}    186{txt}){col 67}= {res}      3.48
{txt}{col 49}Prob > F{col 67}= {res}    0.0000
{txt}{col 49}R-squared{col 67}= {res}    0.0945
{txt}{col 49}Adj R-squared{col 67}= {res}    0.0909
{txt}{col 49}Root MSE{col 67}= {res}    0.3780

{txt}{ralign 78:(Std. Err. adjusted for {res:187} clusters in hc_id)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}e_treatq~2_z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2} .0778507{col 26}{space 2} .0286542{col 37}{space 1}    2.72{col 46}{space 3}0.007{col 54}{space 4} .0213216{col 67}{space 3} .1343798
{txt}b_treatq~2_z {c |}{col 14}{res}{space 2} .1120318{col 26}{space 2} .0213637{col 37}{space 1}    5.24{col 46}{space 3}0.000{col 54}{space 4} .0698855{col 67}{space 3} .1541781
{txt}b_trea~2_z_d {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 1}c_tfull_hc2 {c |}{col 14}{res}{space 2}-.0363535{col 26}{space 2} .0606507{col 37}{space 1}   -0.60{col 46}{space 3}0.550{col 54}{space 4}-.1560052{col 67}{space 3} .0832982
{txt}c_tfull_b_~l {c |}{col 14}{res}{space 2} -.015115{col 26}{space 2} .0623522{col 37}{space 1}   -0.24{col 46}{space 3}0.809{col 54}{space 4}-.1381235{col 67}{space 3} .1078934
{txt}c_tfull_b_~s {c |}{col 14}{res}{space 2} .0821351{col 26}{space 2} .0596644{col 37}{space 1}    1.38{col 46}{space 3}0.170{col 54}{space 4} -.035571{col 67}{space 3} .1998411
{txt}c_tfull_b_~d {c |}{col 14}{res}{space 2} .0106352{col 26}{space 2} .0240414{col 37}{space 1}    0.44{col 46}{space 3}0.659{col 54}{space 4}-.0367936{col 67}{space 3} .0580641
{txt}c_tfull_ed~r {c |}{col 14}{res}{space 2}-.0023397{col 26}{space 2} .0018312{col 37}{space 1}   -1.28{col 46}{space 3}0.203{col 54}{space 4}-.0059524{col 67}{space 3}  .001273
{txt}c_tfull_b_~x {c |}{col 14}{res}{space 2} .0046838{col 26}{space 2} .0087321{col 37}{space 1}    0.54{col 46}{space 3}0.592{col 54}{space 4}-.0125428{col 67}{space 3} .0219104
{txt}c_trea~l_hc2 {c |}{col 14}{res}{space 2} .0497237{col 26}{space 2} .0743804{col 37}{space 1}    0.67{col 46}{space 3}0.505{col 54}{space 4}-.0970139{col 67}{space 3} .1964613
{txt}c_treatful.. {c |}{col 14}{res}{space 2}  .052989{col 26}{space 2}  .073626{col 37}{space 1}    0.72{col 46}{space 3}0.473{col 54}{space 4}-.0922604{col 67}{space 3} .1982384
{txt}c_treatful.. {c |}{col 14}{res}{space 2} -.110646{col 26}{space 2} .0751786{col 37}{space 1}   -1.47{col 46}{space 3}0.143{col 54}{space 4}-.2589584{col 67}{space 3} .0376664
{txt}c_treatful.. {c |}{col 14}{res}{space 2} .0296233{col 26}{space 2} .0346717{col 37}{space 1}    0.85{col 46}{space 3}0.394{col 54}{space 4} -.038777{col 67}{space 3} .0980236
{txt}c_treatful.. {c |}{col 14}{res}{space 2} .0029414{col 26}{space 2} .0024388{col 37}{space 1}    1.21{col 46}{space 3}0.229{col 54}{space 4}-.0018698{col 67}{space 3} .0077526
{txt}c_treatful.. {c |}{col 14}{res}{space 2} -.023859{col 26}{space 2} .0137849{col 37}{space 1}   -1.73{col 46}{space 3}0.085{col 54}{space 4}-.0510538{col 67}{space 3} .0033359
{txt}{space 7}_cons {c |}{col 14}{res}{space 2}  .002925{col 26}{space 2} .0224676{col 37}{space 1}    0.13{col 46}{space 3}0.897{col 54}{space 4}-.0413991{col 67}{space 3} .0472492
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)
note: b_treatqual_w3_z_d omitted because of collinearity
{res}
{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}     7,288
{txt}{col 49}F({res}  14{txt},{res}    186{txt}){col 67}= {res}      4.37
{txt}{col 49}Prob > F{col 67}= {res}    0.0000
{txt}{col 49}R-squared{col 67}= {res}    0.1082
{txt}{col 49}Adj R-squared{col 67}= {res}    0.1046
{txt}{col 49}Root MSE{col 67}= {res}    0.3775

{txt}{ralign 78:(Std. Err. adjusted for {res:187} clusters in hc_id)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}e_treatq~3_z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2} .0773693{col 26}{space 2} .0291934{col 37}{space 1}    2.65{col 46}{space 3}0.009{col 54}{space 4} .0197766{col 67}{space 3} .1349621
{txt}b_treatq~3_z {c |}{col 14}{res}{space 2} .1031396{col 26}{space 2} .0206521{col 37}{space 1}    4.99{col 46}{space 3}0.000{col 54}{space 4} .0623972{col 67}{space 3}  .143882
{txt}b_trea~3_z_d {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 1}c_tfull_hc2 {c |}{col 14}{res}{space 2}-.0683545{col 26}{space 2} .0589031{col 37}{space 1}   -1.16{col 46}{space 3}0.247{col 54}{space 4}-.1845586{col 67}{space 3} .0478496
{txt}c_tfull_b_~l {c |}{col 14}{res}{space 2}-.0100764{col 26}{space 2} .0639413{col 37}{space 1}   -0.16{col 46}{space 3}0.875{col 54}{space 4}-.1362198{col 67}{space 3} .1160669
{txt}c_tfull_b_~s {c |}{col 14}{res}{space 2} .0879668{col 26}{space 2} .0644368{col 37}{space 1}    1.37{col 46}{space 3}0.174{col 54}{space 4}-.0391541{col 67}{space 3} .2150876
{txt}c_tfull_b_~d {c |}{col 14}{res}{space 2} .0114453{col 26}{space 2} .0263414{col 37}{space 1}    0.43{col 46}{space 3}0.664{col 54}{space 4} -.040521{col 67}{space 3} .0634116
{txt}c_tfull_ed~r {c |}{col 14}{res}{space 2}-.0026135{col 26}{space 2} .0017516{col 37}{space 1}   -1.49{col 46}{space 3}0.137{col 54}{space 4} -.006069{col 67}{space 3}  .000842
{txt}c_tfull_b_~x {c |}{col 14}{res}{space 2}-.0049664{col 26}{space 2} .0092036{col 37}{space 1}   -0.54{col 46}{space 3}0.590{col 54}{space 4}-.0231232{col 67}{space 3} .0131904
{txt}c_trea~l_hc2 {c |}{col 14}{res}{space 2} .0635889{col 26}{space 2} .0748118{col 37}{space 1}    0.85{col 46}{space 3}0.396{col 54}{space 4}-.0839998{col 67}{space 3} .2111777
{txt}c_treatful.. {c |}{col 14}{res}{space 2} .0799097{col 26}{space 2} .0753486{col 37}{space 1}    1.06{col 46}{space 3}0.290{col 54}{space 4}-.0687381{col 67}{space 3} .2285575
{txt}c_treatful.. {c |}{col 14}{res}{space 2}-.1203399{col 26}{space 2} .0816657{col 37}{space 1}   -1.47{col 46}{space 3}0.142{col 54}{space 4}  -.28145{col 67}{space 3} .0407703
{txt}c_treatful.. {c |}{col 14}{res}{space 2} .0492125{col 26}{space 2}  .036463{col 37}{space 1}    1.35{col 46}{space 3}0.179{col 54}{space 4}-.0227218{col 67}{space 3} .1211468
{txt}c_treatful.. {c |}{col 14}{res}{space 2} .0018843{col 26}{space 2} .0024567{col 37}{space 1}    0.77{col 46}{space 3}0.444{col 54}{space 4}-.0029622{col 67}{space 3} .0067309
{txt}c_treatful.. {c |}{col 14}{res}{space 2}-.0175464{col 26}{space 2} .0144263{col 37}{space 1}   -1.22{col 46}{space 3}0.225{col 54}{space 4}-.0460066{col 67}{space 3} .0109138
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} .0005923{col 26}{space 2} .0222945{col 37}{space 1}    0.03{col 46}{space 3}0.979{col 54}{space 4}-.0433903{col 67}{space 3}  .044575
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)
note: b_treatqual_w4_z_d omitted because of collinearity
{res}
{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}     7,288
{txt}{col 49}F({res}  14{txt},{res}    186{txt}){col 67}= {res}      3.33
{txt}{col 49}Prob > F{col 67}= {res}    0.0001
{txt}{col 49}R-squared{col 67}= {res}    0.1088
{txt}{col 49}Adj R-squared{col 67}= {res}    0.1052
{txt}{col 49}Root MSE{col 67}= {res}    0.3774

{txt}{ralign 78:(Std. Err. adjusted for {res:187} clusters in hc_id)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}e_treatq~4_z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2} .0697719{col 26}{space 2} .0296107{col 37}{space 1}    2.36{col 46}{space 3}0.019{col 54}{space 4} .0113559{col 67}{space 3}  .128188
{txt}b_treatq~4_z {c |}{col 14}{res}{space 2} .0999592{col 26}{space 2} .0221947{col 37}{space 1}    4.50{col 46}{space 3}0.000{col 54}{space 4} .0561735{col 67}{space 3}  .143745
{txt}b_trea~4_z_d {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 1}c_tfull_hc2 {c |}{col 14}{res}{space 2}-.0598122{col 26}{space 2} .0603061{col 37}{space 1}   -0.99{col 46}{space 3}0.323{col 54}{space 4}-.1787842{col 67}{space 3} .0591597
{txt}c_tfull_b_~l {c |}{col 14}{res}{space 2}-.0225495{col 26}{space 2} .0655896{col 37}{space 1}   -0.34{col 46}{space 3}0.731{col 54}{space 4}-.1519446{col 67}{space 3} .1068456
{txt}c_tfull_b_~s {c |}{col 14}{res}{space 2} .1024081{col 26}{space 2} .0667107{col 37}{space 1}    1.54{col 46}{space 3}0.126{col 54}{space 4}-.0291987{col 67}{space 3}  .234015
{txt}c_tfull_b_~d {c |}{col 14}{res}{space 2} .0116633{col 26}{space 2} .0255711{col 37}{space 1}    0.46{col 46}{space 3}0.649{col 54}{space 4}-.0387834{col 67}{space 3}   .06211
{txt}c_tfull_ed~r {c |}{col 14}{res}{space 2}-.0024091{col 26}{space 2} .0018113{col 37}{space 1}   -1.33{col 46}{space 3}0.185{col 54}{space 4}-.0059824{col 67}{space 3} .0011641
{txt}c_tfull_b_~x {c |}{col 14}{res}{space 2}-.0021054{col 26}{space 2} .0095763{col 37}{space 1}   -0.22{col 46}{space 3}0.826{col 54}{space 4}-.0209976{col 67}{space 3} .0167867
{txt}c_trea~l_hc2 {c |}{col 14}{res}{space 2} .0591151{col 26}{space 2} .0754658{col 37}{space 1}    0.78{col 46}{space 3}0.434{col 54}{space 4}-.0897638{col 67}{space 3}  .207994
{txt}c_treatful.. {c |}{col 14}{res}{space 2} .0927197{col 26}{space 2} .0778017{col 37}{space 1}    1.19{col 46}{space 3}0.235{col 54}{space 4}-.0607676{col 67}{space 3} .2462069
{txt}c_treatful.. {c |}{col 14}{res}{space 2}-.1155813{col 26}{space 2} .0825273{col 37}{space 1}   -1.40{col 46}{space 3}0.163{col 54}{space 4}-.2783911{col 67}{space 3} .0472285
{txt}c_treatful.. {c |}{col 14}{res}{space 2} .0489563{col 26}{space 2} .0348692{col 37}{space 1}    1.40{col 46}{space 3}0.162{col 54}{space 4}-.0198336{col 67}{space 3} .1177462
{txt}c_treatful.. {c |}{col 14}{res}{space 2} .0017612{col 26}{space 2} .0024986{col 37}{space 1}    0.70{col 46}{space 3}0.482{col 54}{space 4} -.003168{col 67}{space 3} .0066905
{txt}c_treatful.. {c |}{col 14}{res}{space 2}-.0173872{col 26}{space 2}  .014663{col 37}{space 1}   -1.19{col 46}{space 3}0.237{col 54}{space 4}-.0463144{col 67}{space 3}   .01154
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} .0002743{col 26}{space 2} .0226701{col 37}{space 1}    0.01{col 46}{space 3}0.990{col 54}{space 4}-.0444492{col 67}{space 3} .0449978
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)
note: b_treatqual_w5_z_d omitted because of collinearity
{res}
{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}     7,288
{txt}{col 49}F({res}  14{txt},{res}    186{txt}){col 67}= {res}      3.56
{txt}{col 49}Prob > F{col 67}= {res}    0.0000
{txt}{col 49}R-squared{col 67}= {res}    0.1228
{txt}{col 49}Adj R-squared{col 67}= {res}    0.1193
{txt}{col 49}Root MSE{col 67}= {res}    0.3330

{txt}{ralign 78:(Std. Err. adjusted for {res:187} clusters in hc_id)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}e_treatq~5_z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2} .0744683{col 26}{space 2} .0281816{col 37}{space 1}    2.64{col 46}{space 3}0.009{col 54}{space 4} .0188716{col 67}{space 3}  .130065
{txt}b_treatq~5_z {c |}{col 14}{res}{space 2} .0953165{col 26}{space 2}  .023873{col 37}{space 1}    3.99{col 46}{space 3}0.000{col 54}{space 4} .0482198{col 67}{space 3} .1424131
{txt}b_trea~5_z_d {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 1}c_tfull_hc2 {c |}{col 14}{res}{space 2}-.0864272{col 26}{space 2} .0579764{col 37}{space 1}   -1.49{col 46}{space 3}0.138{col 54}{space 4}-.2008031{col 67}{space 3} .0279487
{txt}c_tfull_b_~l {c |}{col 14}{res}{space 2}-.0317887{col 26}{space 2} .0616741{col 37}{space 1}   -0.52{col 46}{space 3}0.607{col 54}{space 4}-.1534594{col 67}{space 3}  .089882
{txt}c_tfull_b_~s {c |}{col 14}{res}{space 2} .0814558{col 26}{space 2} .0613122{col 37}{space 1}    1.33{col 46}{space 3}0.186{col 54}{space 4} -.039501{col 67}{space 3} .2024125
{txt}c_tfull_b_~d {c |}{col 14}{res}{space 2} .0128934{col 26}{space 2} .0239809{col 37}{space 1}    0.54{col 46}{space 3}0.591{col 54}{space 4}-.0344161{col 67}{space 3} .0602028
{txt}c_tfull_ed~r {c |}{col 14}{res}{space 2}-.0035003{col 26}{space 2} .0015974{col 37}{space 1}   -2.19{col 46}{space 3}0.030{col 54}{space 4}-.0066517{col 67}{space 3}-.0003488
{txt}c_tfull_b_~x {c |}{col 14}{res}{space 2} .0019348{col 26}{space 2} .0080096{col 37}{space 1}    0.24{col 46}{space 3}0.809{col 54}{space 4}-.0138665{col 67}{space 3} .0177361
{txt}c_trea~l_hc2 {c |}{col 14}{res}{space 2} .0681217{col 26}{space 2} .0727234{col 37}{space 1}    0.94{col 46}{space 3}0.350{col 54}{space 4}-.0753471{col 67}{space 3} .2115904
{txt}c_treatful.. {c |}{col 14}{res}{space 2} .0974463{col 26}{space 2} .0737108{col 37}{space 1}    1.32{col 46}{space 3}0.188{col 54}{space 4}-.0479704{col 67}{space 3} .2428629
{txt}c_treatful.. {c |}{col 14}{res}{space 2} -.123362{col 26}{space 2} .0795186{col 37}{space 1}   -1.55{col 46}{space 3}0.123{col 54}{space 4}-.2802363{col 67}{space 3} .0335124
{txt}c_treatful.. {c |}{col 14}{res}{space 2} .0349178{col 26}{space 2} .0324071{col 37}{space 1}    1.08{col 46}{space 3}0.283{col 54}{space 4} -.029015{col 67}{space 3} .0988507
{txt}c_treatful.. {c |}{col 14}{res}{space 2} .0023765{col 26}{space 2} .0021739{col 37}{space 1}    1.09{col 46}{space 3}0.276{col 54}{space 4}-.0019121{col 67}{space 3}  .006665
{txt}c_treatful.. {c |}{col 14}{res}{space 2}-.0205081{col 26}{space 2} .0132711{col 37}{space 1}   -1.55{col 46}{space 3}0.124{col 54}{space 4}-.0466894{col 67}{space 3} .0056732
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} .0004109{col 26}{space 2} .0216492{col 37}{space 1}    0.02{col 46}{space 3}0.985{col 54}{space 4}-.0422986{col 67}{space 3} .0431205
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)
note: b_treatqual_w6_z_d omitted because of collinearity
{res}
{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}     7,288
{txt}{col 49}F({res}  14{txt},{res}    186{txt}){col 67}= {res}      3.94
{txt}{col 49}Prob > F{col 67}= {res}    0.0000
{txt}{col 49}R-squared{col 67}= {res}    0.1224
{txt}{col 49}Adj R-squared{col 67}= {res}    0.1189
{txt}{col 49}Root MSE{col 67}= {res}    0.3517

{txt}{ralign 78:(Std. Err. adjusted for {res:187} clusters in hc_id)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}e_treatq~6_z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2} .0714535{col 26}{space 2} .0292733{col 37}{space 1}    2.44{col 46}{space 3}0.016{col 54}{space 4} .0137032{col 67}{space 3} .1292038
{txt}b_treatq~6_z {c |}{col 14}{res}{space 2} .1000372{col 26}{space 2} .0239256{col 37}{space 1}    4.18{col 46}{space 3}0.000{col 54}{space 4} .0528367{col 67}{space 3} .1472377
{txt}b_trea~6_z_d {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 1}c_tfull_hc2 {c |}{col 14}{res}{space 2}-.0895463{col 26}{space 2}  .059667{col 37}{space 1}   -1.50{col 46}{space 3}0.135{col 54}{space 4}-.2072575{col 67}{space 3} .0281648
{txt}c_tfull_b_~l {c |}{col 14}{res}{space 2}-.0372478{col 26}{space 2} .0660638{col 37}{space 1}   -0.56{col 46}{space 3}0.574{col 54}{space 4}-.1675786{col 67}{space 3} .0930829
{txt}c_tfull_b_~s {c |}{col 14}{res}{space 2}  .080195{col 26}{space 2} .0666538{col 37}{space 1}    1.20{col 46}{space 3}0.230{col 54}{space 4}-.0512997{col 67}{space 3} .2116897
{txt}c_tfull_b_~d {c |}{col 14}{res}{space 2}  .002702{col 26}{space 2} .0264109{col 37}{space 1}    0.10{col 46}{space 3}0.919{col 54}{space 4}-.0494014{col 67}{space 3} .0548055
{txt}c_tfull_ed~r {c |}{col 14}{res}{space 2}-.0038939{col 26}{space 2} .0016921{col 37}{space 1}   -2.30{col 46}{space 3}0.022{col 54}{space 4}-.0072321{col 67}{space 3}-.0005557
{txt}c_tfull_b_~x {c |}{col 14}{res}{space 2}-.0039152{col 26}{space 2} .0091062{col 37}{space 1}   -0.43{col 46}{space 3}0.668{col 54}{space 4}  -.02188{col 67}{space 3} .0140495
{txt}c_trea~l_hc2 {c |}{col 14}{res}{space 2} .0753961{col 26}{space 2} .0757393{col 37}{space 1}    1.00{col 46}{space 3}0.321{col 54}{space 4}-.0740225{col 67}{space 3} .2248147
{txt}c_treatful.. {c |}{col 14}{res}{space 2} .1008237{col 26}{space 2} .0773911{col 37}{space 1}    1.30{col 46}{space 3}0.194{col 54}{space 4}-.0518535{col 67}{space 3}  .253501
{txt}c_treatful.. {c |}{col 14}{res}{space 2}-.1251953{col 26}{space 2} .0846969{col 37}{space 1}   -1.48{col 46}{space 3}0.141{col 54}{space 4}-.2922853{col 67}{space 3} .0418947
{txt}c_treatful.. {c |}{col 14}{res}{space 2} .0557034{col 26}{space 2} .0361337{col 37}{space 1}    1.54{col 46}{space 3}0.125{col 54}{space 4}-.0155813{col 67}{space 3}  .126988
{txt}c_treatful.. {c |}{col 14}{res}{space 2} .0033383{col 26}{space 2} .0022507{col 37}{space 1}    1.48{col 46}{space 3}0.140{col 54}{space 4}-.0011019{col 67}{space 3} .0077785
{txt}c_treatful.. {c |}{col 14}{res}{space 2}-.0171347{col 26}{space 2} .0142837{col 37}{space 1}   -1.20{col 46}{space 3}0.232{col 54}{space 4}-.0453136{col 67}{space 3} .0110443
{txt}{space 7}_cons {c |}{col 14}{res}{space 2}-.0000208{col 26}{space 2} .0222704{col 37}{space 1}   -0.00{col 46}{space 3}0.999{col 54}{space 4}-.0439559{col 67}{space 3} .0439143
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)
note: b_treatqual_w7_z_d omitted because of collinearity
{res}
{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}     7,288
{txt}{col 49}F({res}  14{txt},{res}    186{txt}){col 67}= {res}      4.88
{txt}{col 49}Prob > F{col 67}= {res}    0.0000
{txt}{col 49}R-squared{col 67}= {res}    0.0968
{txt}{col 49}Adj R-squared{col 67}= {res}    0.0932
{txt}{col 49}Root MSE{col 67}= {res}    0.3822

{txt}{ralign 78:(Std. Err. adjusted for {res:187} clusters in hc_id)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}e_treatq~7_z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2} .0713255{col 26}{space 2} .0251532{col 37}{space 1}    2.84{col 46}{space 3}0.005{col 54}{space 4} .0217033{col 67}{space 3} .1209476
{txt}b_treatq~7_z {c |}{col 14}{res}{space 2} .1001556{col 26}{space 2} .0205627{col 37}{space 1}    4.87{col 46}{space 3}0.000{col 54}{space 4} .0595896{col 67}{space 3} .1407217
{txt}b_trea~7_z_d {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 1}c_tfull_hc2 {c |}{col 14}{res}{space 2}-.1019621{col 26}{space 2} .0521664{col 37}{space 1}   -1.95{col 46}{space 3}0.052{col 54}{space 4}-.2048759{col 67}{space 3} .0009518
{txt}c_tfull_b_~l {c |}{col 14}{res}{space 2}-.0002771{col 26}{space 2}  .057751{col 37}{space 1}   -0.00{col 46}{space 3}0.996{col 54}{space 4}-.1142083{col 67}{space 3} .1136541
{txt}c_tfull_b_~s {c |}{col 14}{res}{space 2} .0958666{col 26}{space 2} .0573812{col 37}{space 1}    1.67{col 46}{space 3}0.096{col 54}{space 4}-.0173351{col 67}{space 3} .2090682
{txt}c_tfull_b_~d {c |}{col 14}{res}{space 2}-.0188729{col 26}{space 2} .0258385{col 37}{space 1}   -0.73{col 46}{space 3}0.466{col 54}{space 4}-.0698471{col 67}{space 3} .0321012
{txt}c_tfull_ed~r {c |}{col 14}{res}{space 2}-.0028317{col 26}{space 2} .0016441{col 37}{space 1}   -1.72{col 46}{space 3}0.087{col 54}{space 4}-.0060751{col 67}{space 3} .0004118
{txt}c_tfull_b_~x {c |}{col 14}{res}{space 2} -.005766{col 26}{space 2} .0080602{col 37}{space 1}   -0.72{col 46}{space 3}0.475{col 54}{space 4}-.0216672{col 67}{space 3} .0101352
{txt}c_trea~l_hc2 {c |}{col 14}{res}{space 2} .0611802{col 26}{space 2} .0654258{col 37}{space 1}    0.94{col 46}{space 3}0.351{col 54}{space 4}-.0678919{col 67}{space 3} .1902523
{txt}c_treatful.. {c |}{col 14}{res}{space 2} .0449488{col 26}{space 2} .0655772{col 37}{space 1}    0.69{col 46}{space 3}0.494{col 54}{space 4} -.084422{col 67}{space 3} .1743196
{txt}c_treatful.. {c |}{col 14}{res}{space 2}-.0738446{col 26}{space 2} .0645727{col 37}{space 1}   -1.14{col 46}{space 3}0.254{col 54}{space 4}-.2012336{col 67}{space 3} .0535444
{txt}c_treatful.. {c |}{col 14}{res}{space 2} .0770088{col 26}{space 2} .0333599{col 37}{space 1}    2.31{col 46}{space 3}0.022{col 54}{space 4} .0111963{col 67}{space 3} .1428213
{txt}c_treatful.. {c |}{col 14}{res}{space 2} .0029795{col 26}{space 2}  .002345{col 37}{space 1}    1.27{col 46}{space 3}0.205{col 54}{space 4}-.0016468{col 67}{space 3} .0076058
{txt}c_treatful.. {c |}{col 14}{res}{space 2}-.0157753{col 26}{space 2} .0126425{col 37}{space 1}   -1.25{col 46}{space 3}0.214{col 54}{space 4}-.0407164{col 67}{space 3} .0091658
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} .0007037{col 26}{space 2} .0196382{col 37}{space 1}    0.04{col 46}{space 3}0.971{col 54}{space 4}-.0380385{col 67}{space 3} .0394459
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)
note: b_treatqual_w8_z_d omitted because of collinearity
{res}
{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}     7,288
{txt}{col 49}F({res}  14{txt},{res}    186{txt}){col 67}= {res}      4.77
{txt}{col 49}Prob > F{col 67}= {res}    0.0000
{txt}{col 49}R-squared{col 67}= {res}    0.0831
{txt}{col 49}Adj R-squared{col 67}= {res}    0.0794
{txt}{col 49}Root MSE{col 67}= {res}    0.3766

{txt}{ralign 78:(Std. Err. adjusted for {res:187} clusters in hc_id)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}e_treatq~8_z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2} .0646758{col 26}{space 2} .0227917{col 37}{space 1}    2.84{col 46}{space 3}0.005{col 54}{space 4} .0197123{col 67}{space 3} .1096392
{txt}b_treatq~8_z {c |}{col 14}{res}{space 2} .0906877{col 26}{space 2}  .018656{col 37}{space 1}    4.86{col 46}{space 3}0.000{col 54}{space 4} .0538832{col 67}{space 3} .1274923
{txt}b_trea~8_z_d {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 1}c_tfull_hc2 {c |}{col 14}{res}{space 2}-.0685988{col 26}{space 2} .0468255{col 37}{space 1}   -1.46{col 46}{space 3}0.145{col 54}{space 4}-.1609761{col 67}{space 3} .0237785
{txt}c_tfull_b_~l {c |}{col 14}{res}{space 2} .0038085{col 26}{space 2} .0518564{col 37}{space 1}    0.07{col 46}{space 3}0.942{col 54}{space 4}-.0984939{col 67}{space 3} .1061109
{txt}c_tfull_b_~s {c |}{col 14}{res}{space 2} .0110876{col 26}{space 2} .0521653{col 37}{space 1}    0.21{col 46}{space 3}0.832{col 54}{space 4} -.091824{col 67}{space 3} .1139993
{txt}c_tfull_b_~d {c |}{col 14}{res}{space 2} .0034774{col 26}{space 2} .0229718{col 37}{space 1}    0.15{col 46}{space 3}0.880{col 54}{space 4}-.0418414{col 67}{space 3} .0487962
{txt}c_tfull_ed~r {c |}{col 14}{res}{space 2}-.0037178{col 26}{space 2} .0016627{col 37}{space 1}   -2.24{col 46}{space 3}0.027{col 54}{space 4}-.0069979{col 67}{space 3}-.0004376
{txt}c_tfull_b_~x {c |}{col 14}{res}{space 2}-.0071811{col 26}{space 2} .0088767{col 37}{space 1}   -0.81{col 46}{space 3}0.420{col 54}{space 4} -.024693{col 67}{space 3} .0103308
{txt}c_trea~l_hc2 {c |}{col 14}{res}{space 2} .0838517{col 26}{space 2} .0569963{col 37}{space 1}    1.47{col 46}{space 3}0.143{col 54}{space 4}-.0285907{col 67}{space 3}  .196294
{txt}c_treatful.. {c |}{col 14}{res}{space 2} .0369211{col 26}{space 2} .0621511{col 37}{space 1}    0.59{col 46}{space 3}0.553{col 54}{space 4}-.0856906{col 67}{space 3} .1595328
{txt}c_treatful.. {c |}{col 14}{res}{space 2}-.0338514{col 26}{space 2} .0687193{col 37}{space 1}   -0.49{col 46}{space 3}0.623{col 54}{space 4}-.1694208{col 67}{space 3} .1017181
{txt}c_treatful.. {c |}{col 14}{res}{space 2} .0574806{col 26}{space 2} .0330882{col 37}{space 1}    1.74{col 46}{space 3}0.084{col 54}{space 4}-.0077958{col 67}{space 3}  .122757
{txt}c_treatful.. {c |}{col 14}{res}{space 2} .0037859{col 26}{space 2} .0023635{col 37}{space 1}    1.60{col 46}{space 3}0.111{col 54}{space 4}-.0008768{col 67}{space 3} .0084487
{txt}c_treatful.. {c |}{col 14}{res}{space 2}-.0198586{col 26}{space 2} .0129892{col 37}{space 1}   -1.53{col 46}{space 3}0.128{col 54}{space 4}-.0454837{col 67}{space 3} .0057664
{txt}{space 7}_cons {c |}{col 14}{res}{space 2}-.0004198{col 26}{space 2} .0171846{col 37}{space 1}   -0.02{col 46}{space 3}0.981{col 54}{space 4}-.0343216{col 67}{space 3} .0334821
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)
note: b_treatqual_w9_z_d omitted because of collinearity
{res}
{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}     7,288
{txt}{col 49}F({res}  14{txt},{res}    186{txt}){col 67}= {res}      3.57
{txt}{col 49}Prob > F{col 67}= {res}    0.0000
{txt}{col 49}R-squared{col 67}= {res}    0.0790
{txt}{col 49}Adj R-squared{col 67}= {res}    0.0754
{txt}{col 49}Root MSE{col 67}= {res}    0.3839

{txt}{ralign 78:(Std. Err. adjusted for {res:187} clusters in hc_id)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}e_treatq~9_z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2} .0503235{col 26}{space 2} .0255636{col 37}{space 1}    1.97{col 46}{space 3}0.050{col 54}{space 4}-.0001083{col 67}{space 3} .1007553
{txt}b_treatq~9_z {c |}{col 14}{res}{space 2} .0937482{col 26}{space 2} .0200354{col 37}{space 1}    4.68{col 46}{space 3}0.000{col 54}{space 4} .0542224{col 67}{space 3}  .133274
{txt}b_trea~9_z_d {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 1}c_tfull_hc2 {c |}{col 14}{res}{space 2}-.0427724{col 26}{space 2}  .048377{col 37}{space 1}   -0.88{col 46}{space 3}0.378{col 54}{space 4}-.1382106{col 67}{space 3} .0526657
{txt}c_tfull_b_~l {c |}{col 14}{res}{space 2}-.0048063{col 26}{space 2} .0550694{col 37}{space 1}   -0.09{col 46}{space 3}0.931{col 54}{space 4}-.1134472{col 67}{space 3} .1038346
{txt}c_tfull_b_~s {c |}{col 14}{res}{space 2} .0742418{col 26}{space 2} .0637932{col 37}{space 1}    1.16{col 46}{space 3}0.246{col 54}{space 4}-.0516093{col 67}{space 3}  .200093
{txt}c_tfull_b_~d {c |}{col 14}{res}{space 2} .0251746{col 26}{space 2} .0244891{col 37}{space 1}    1.03{col 46}{space 3}0.305{col 54}{space 4}-.0231375{col 67}{space 3} .0734868
{txt}c_tfull_ed~r {c |}{col 14}{res}{space 2}-.0019426{col 26}{space 2} .0018213{col 37}{space 1}   -1.07{col 46}{space 3}0.288{col 54}{space 4}-.0055356{col 67}{space 3} .0016505
{txt}c_tfull_b_~x {c |}{col 14}{res}{space 2}-.0098525{col 26}{space 2} .0096477{col 37}{space 1}   -1.02{col 46}{space 3}0.308{col 54}{space 4}-.0288855{col 67}{space 3} .0091805
{txt}c_trea~l_hc2 {c |}{col 14}{res}{space 2} .0314819{col 26}{space 2} .0601251{col 37}{space 1}    0.52{col 46}{space 3}0.601{col 54}{space 4}-.0871329{col 67}{space 3} .1500968
{txt}c_treatful.. {c |}{col 14}{res}{space 2} .0640292{col 26}{space 2} .0635483{col 37}{space 1}    1.01{col 46}{space 3}0.315{col 54}{space 4} -.061339{col 67}{space 3} .1893973
{txt}c_treatful.. {c |}{col 14}{res}{space 2}-.1444099{col 26}{space 2} .0781076{col 37}{space 1}   -1.85{col 46}{space 3}0.066{col 54}{space 4}-.2985005{col 67}{space 3} .0096807
{txt}c_treatful.. {c |}{col 14}{res}{space 2}  .025845{col 26}{space 2} .0349842{col 37}{space 1}    0.74{col 46}{space 3}0.461{col 54}{space 4}-.0431717{col 67}{space 3} .0948618
{txt}c_treatful.. {c |}{col 14}{res}{space 2} .0012947{col 26}{space 2} .0024859{col 37}{space 1}    0.52{col 46}{space 3}0.603{col 54}{space 4}-.0036095{col 67}{space 3}  .006199
{txt}c_treatful.. {c |}{col 14}{res}{space 2}-.0094769{col 26}{space 2}  .013672{col 37}{space 1}   -0.69{col 46}{space 3}0.489{col 54}{space 4} -.036449{col 67}{space 3} .0174952
{txt}{space 7}_cons {c |}{col 14}{res}{space 2}-.0017376{col 26}{space 2} .0197291{col 37}{space 1}   -0.09{col 46}{space 3}0.930{col 54}{space 4}-.0406592{col 67}{space 3}  .037184
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{com}.         
.         # delimit;
{txt}delimiter now ;
{com}.                 esttab m1 m2 m3 m4 m5 m6 m7 m8 m9
>         using "${c -(}tables{c )-}/TableI33.tex", b(%5.3f) se(%5.3f)
>                 title(Robustness check treatment quality subcomponents by subcomponents (endline))
>                 keep(`var' _cons)
>                 varlabels (`var' "Full treatment" _cons "Constant")     
>                 starlevels(* .10 ** .05 *** .01)                
>                 mtitles("\begin{c -(}tabular{c )-}[c]{c -(}@{c -(}{c )-}c@{c -(}{c )-}{c )-}Treatment\\quality\\wo/ used\\equipment\end{c -(}tabular{c )-}"
>                                 "\begin{c -(}tabular{c )-}[c]{c -(}@{c -(}{c )-}c@{c -(}{c )-}{c )-}Treatment\\quality\\wo/ waiting\\time\end{c -(}tabular{c )-}"
>                                 "\begin{c -(}tabular{c )-}[c]{c -(}@{c -(}{c )-}c@{c -(}{c )-}{c )-}Treatment\\quality\\wo/ examined \\ by trained \\staff\end{c -(}tabular{c )-}"
>                                 "\begin{c -(}tabular{c )-}[c]{c -(}@{c -(}{c )-}c@{c -(}{c )-}{c )-}Treatment\\quality\\wo/ privacy \\during exam\end{c -(}tabular{c )-}"
>                                 "\begin{c -(}tabular{c )-}[c]{c -(}@{c -(}{c )-}c@{c -(}{c )-}{c )-}Treatment\\quality\\wo/ received\\ test \\when needed\end{c -(}tabular{c )-} "
>                                 "\begin{c -(}tabular{c )-}[c]{c -(}@{c -(}{c )-}c@{c -(}{c )-}{c )-}Treatment\\quality\\wo/ diagnosis \\explained\\ clearly\end{c -(}tabular{c )-}"
>                                 "\begin{c -(}tabular{c )-}[c]{c -(}@{c -(}{c )-}c@{c -(}{c )-}{c )-}Treatment\\quality\\wo/ \% staff \\presence\end{c -(}tabular{c )-}"
>                                 "\begin{c -(}tabular{c )-}[c]{c -(}@{c -(}{c )-}c@{c -(}{c )-}{c )-}Treatment\\quality\\wo/ facility \\cleanliness\end{c -(}tabular{c )-}"
>                                 "\begin{c -(}tabular{c )-}[c]{c -(}@{c -(}{c )-}c@{c -(}{c )-}{c )-}Treatment\\quality\\wo/ drug \\availability\end{c -(}tabular{c )-}")
>                 stats(N r2, labels("N" "R$^{c -(}2{c )-}$") fmt(%9.0fc %9.3fc)) label booktabs nonotes replace
>         
>         ;
{res}{txt}(output written to {browse  `"/Users/fredericcochinard/Dropbox/ACT_Health_JOP_replication_file/3.Tables and Figures/Tables/TableI33.tex"'})

{com}.                 # delimit cr
{txt}delimiter now cr
{com}.         
.         *************************************
.         * Table/Figure Patient satisfaction *
.         *************************************
.         
.         * At endline:
.         
.         eststo clear
{txt}
{com}.         
.         local y = 1
{txt}
{com}.         foreach x in `patsat' {c -(}
{txt}  2{com}.                 areg e_`x' `var' b_`x' b_`x'_d `e_controls_tfull' ``var'_int_e_controls', robust cl(hc_id) a(district)
{txt}  3{com}.                 
.                 local p_`y' = (2 * ttail(e(df_r), abs(_b[`var']/_se[`var'])))
{txt}  4{com}.                 
.                 estimates store m`y'
{txt}  5{com}.                 local y = `y' + 1
{txt}  6{com}.                 {c )-}
{txt}note: b_patsat_z_d omitted because of collinearity
{res}
{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}     7,288
{txt}{col 49}F({res}  14{txt},{res}    186{txt}){col 67}= {res}      9.05
{txt}{col 49}Prob > F{col 67}= {res}    0.0000
{txt}{col 49}R-squared{col 67}= {res}    0.0425
{txt}{col 49}Adj R-squared{col 67}= {res}    0.0387
{txt}{col 49}Root MSE{col 67}= {res}    0.5862

{txt}{ralign 78:(Std. Err. adjusted for {res:187} clusters in hc_id)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}  e_patsat_z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2} .0766698{col 26}{space 2}  .023602{col 37}{space 1}    3.25{col 46}{space 3}0.001{col 54}{space 4} .0301077{col 67}{space 3} .1232319
{txt}{space 2}b_patsat_z {c |}{col 14}{res}{space 2} .1381434{col 26}{space 2} .0151288{col 37}{space 1}    9.13{col 46}{space 3}0.000{col 54}{space 4} .1082973{col 67}{space 3} .1679895
{txt}b_patsat_z_d {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 1}c_tfull_hc2 {c |}{col 14}{res}{space 2} .0124335{col 26}{space 2} .0399891{col 37}{space 1}    0.31{col 46}{space 3}0.756{col 54}{space 4} -.066457{col 67}{space 3} .0913239
{txt}c_tfull_b_~l {c |}{col 14}{res}{space 2}  .099912{col 26}{space 2}  .051595{col 37}{space 1}    1.94{col 46}{space 3}0.054{col 54}{space 4}-.0018747{col 67}{space 3} .2016987
{txt}c_tfull_b_~s {c |}{col 14}{res}{space 2} .0058389{col 26}{space 2} .0649235{col 37}{space 1}    0.09{col 46}{space 3}0.928{col 54}{space 4}-.1222422{col 67}{space 3}   .13392
{txt}c_tfull_b_~d {c |}{col 14}{res}{space 2} .0028207{col 26}{space 2} .0432805{col 37}{space 1}    0.07{col 46}{space 3}0.948{col 54}{space 4}-.0825632{col 67}{space 3} .0882046
{txt}c_tfull_ed~r {c |}{col 14}{res}{space 2} .0018915{col 26}{space 2} .0028311{col 37}{space 1}    0.67{col 46}{space 3}0.505{col 54}{space 4}-.0036937{col 67}{space 3} .0074767
{txt}c_tfull_b_~x {c |}{col 14}{res}{space 2} .0145285{col 26}{space 2} .0099867{col 37}{space 1}    1.45{col 46}{space 3}0.147{col 54}{space 4}-.0051733{col 67}{space 3} .0342303
{txt}c_trea~l_hc2 {c |}{col 14}{res}{space 2}-.1187986{col 26}{space 2} .0544174{col 37}{space 1}   -2.18{col 46}{space 3}0.030{col 54}{space 4}-.2261532{col 67}{space 3}-.0114439
{txt}c_treatful.. {c |}{col 14}{res}{space 2}-.1632267{col 26}{space 2} .0637943{col 37}{space 1}   -2.56{col 46}{space 3}0.011{col 54}{space 4}  -.28908{col 67}{space 3}-.0373734
{txt}c_treatful.. {c |}{col 14}{res}{space 2} .0113699{col 26}{space 2} .0749944{col 37}{space 1}    0.15{col 46}{space 3}0.880{col 54}{space 4}-.1365791{col 67}{space 3} .1593189
{txt}c_treatful.. {c |}{col 14}{res}{space 2}-.0227408{col 26}{space 2} .0514382{col 37}{space 1}   -0.44{col 46}{space 3}0.659{col 54}{space 4}-.1242181{col 67}{space 3} .0787366
{txt}c_treatful.. {c |}{col 14}{res}{space 2} .0026683{col 26}{space 2} .0037246{col 37}{space 1}    0.72{col 46}{space 3}0.475{col 54}{space 4}-.0046795{col 67}{space 3} .0100162
{txt}c_treatful.. {c |}{col 14}{res}{space 2}-.0265156{col 26}{space 2} .0143484{col 37}{space 1}   -1.85{col 46}{space 3}0.066{col 54}{space 4}-.0548222{col 67}{space 3} .0017909
{txt}{space 7}_cons {c |}{col 14}{res}{space 2}-.0018319{col 26}{space 2} .0176994{col 37}{space 1}   -0.10{col 46}{space 3}0.918{col 54}{space 4}-.0367493{col 67}{space 3} .0330855
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}     7,288
{txt}{col 49}F({res}  15{txt},{res}    186{txt}){col 67}= {res}      9.42
{txt}{col 49}Prob > F{col 67}= {res}    0.0000
{txt}{col 49}R-squared{col 67}= {res}    0.0438
{txt}{col 49}Adj R-squared{col 67}= {res}    0.0398
{txt}{col 49}Root MSE{col 67}= {res}    0.9602

{txt}{ralign 78:(Std. Err. adjusted for {res:187} clusters in hc_id)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}e_qualityc~z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2} .0614183{col 26}{space 2} .0318908{col 37}{space 1}    1.93{col 46}{space 3}0.056{col 54}{space 4}-.0014958{col 67}{space 3} .1243324
{txt}b_qualityc~z {c |}{col 14}{res}{space 2} .1190462{col 26}{space 2} .0119029{col 37}{space 1}   10.00{col 46}{space 3}0.000{col 54}{space 4} .0955641{col 67}{space 3} .1425283
{txt}b_qual~e_z_d {c |}{col 14}{res}{space 2}-.1318868{col 26}{space 2} .0475059{col 37}{space 1}   -2.78{col 46}{space 3}0.006{col 54}{space 4}-.2256063{col 67}{space 3}-.0381672
{txt}{space 1}c_tfull_hc2 {c |}{col 14}{res}{space 2} .0718971{col 26}{space 2} .0509127{col 37}{space 1}    1.41{col 46}{space 3}0.160{col 54}{space 4}-.0285435{col 67}{space 3} .1723376
{txt}c_tfull_b_~l {c |}{col 14}{res}{space 2} .1039932{col 26}{space 2} .0764236{col 37}{space 1}    1.36{col 46}{space 3}0.175{col 54}{space 4}-.0467752{col 67}{space 3} .2547616
{txt}c_tfull_b_~s {c |}{col 14}{res}{space 2}-.0213967{col 26}{space 2} .0934637{col 37}{space 1}   -0.23{col 46}{space 3}0.819{col 54}{space 4} -.205782{col 67}{space 3} .1629886
{txt}c_tfull_b_~d {c |}{col 14}{res}{space 2}-.1315623{col 26}{space 2} .0722559{col 37}{space 1}   -1.82{col 46}{space 3}0.070{col 54}{space 4}-.2741088{col 67}{space 3} .0109842
{txt}c_tfull_ed~r {c |}{col 14}{res}{space 2}  .002619{col 26}{space 2} .0040609{col 37}{space 1}    0.64{col 46}{space 3}0.520{col 54}{space 4}-.0053924{col 67}{space 3} .0106304
{txt}c_tfull_b_~x {c |}{col 14}{res}{space 2} .0104309{col 26}{space 2} .0170894{col 37}{space 1}    0.61{col 46}{space 3}0.542{col 54}{space 4}-.0232832{col 67}{space 3} .0441449
{txt}c_trea~l_hc2 {c |}{col 14}{res}{space 2}-.0608758{col 26}{space 2} .0712751{col 37}{space 1}   -0.85{col 46}{space 3}0.394{col 54}{space 4}-.2014872{col 67}{space 3} .0797357
{txt}c_treatful.. {c |}{col 14}{res}{space 2}-.1501699{col 26}{space 2} .0944754{col 37}{space 1}   -1.59{col 46}{space 3}0.114{col 54}{space 4}-.3365509{col 67}{space 3} .0362111
{txt}c_treatful.. {c |}{col 14}{res}{space 2} .1091846{col 26}{space 2} .1130025{col 37}{space 1}    0.97{col 46}{space 3}0.335{col 54}{space 4}-.1137468{col 67}{space 3}  .332116
{txt}c_treatful.. {c |}{col 14}{res}{space 2} .0216275{col 26}{space 2} .0832284{col 37}{space 1}    0.26{col 46}{space 3}0.795{col 54}{space 4}-.1425654{col 67}{space 3} .1858205
{txt}c_treatful.. {c |}{col 14}{res}{space 2}  .004248{col 26}{space 2} .0055243{col 37}{space 1}    0.77{col 46}{space 3}0.443{col 54}{space 4}-.0066502{col 67}{space 3} .0151463
{txt}c_treatful.. {c |}{col 14}{res}{space 2}-.0356027{col 26}{space 2} .0256244{col 37}{space 1}   -1.39{col 46}{space 3}0.166{col 54}{space 4}-.0861545{col 67}{space 3}  .014949
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} .0166008{col 26}{space 2} .0225667{col 37}{space 1}    0.74{col 46}{space 3}0.463{col 54}{space 4}-.0279188{col 67}{space 3} .0611204
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}     7,288
{txt}{col 49}F({res}  15{txt},{res}    186{txt}){col 67}= {res}      3.98
{txt}{col 49}Prob > F{col 67}= {res}    0.0000
{txt}{col 49}R-squared{col 67}= {res}    0.0240
{txt}{col 49}Adj R-squared{col 67}= {res}    0.0199
{txt}{col 49}Root MSE{col 67}= {res}    0.9345

{txt}{ralign 78:(Std. Err. adjusted for {res:187} clusters in hc_id)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}e_politest~z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2} .0742255{col 26}{space 2} .0347581{col 37}{space 1}    2.14{col 46}{space 3}0.034{col 54}{space 4} .0056547{col 67}{space 3} .1427963
{txt}b_politest~z {c |}{col 14}{res}{space 2} .0806661{col 26}{space 2} .0162189{col 37}{space 1}    4.97{col 46}{space 3}0.000{col 54}{space 4} .0486695{col 67}{space 3} .1126628
{txt}b_polite~z_d {c |}{col 14}{res}{space 2}-.0504752{col 26}{space 2} .0308606{col 37}{space 1}   -1.64{col 46}{space 3}0.104{col 54}{space 4} -.111357{col 67}{space 3} .0104066
{txt}{space 1}c_tfull_hc2 {c |}{col 14}{res}{space 2} .1342422{col 26}{space 2} .0567583{col 37}{space 1}    2.37{col 46}{space 3}0.019{col 54}{space 4} .0222694{col 67}{space 3} .2462149
{txt}c_tfull_b_~l {c |}{col 14}{res}{space 2} .1340273{col 26}{space 2} .0718357{col 37}{space 1}    1.87{col 46}{space 3}0.064{col 54}{space 4}-.0076901{col 67}{space 3} .2757448
{txt}c_tfull_b_~s {c |}{col 14}{res}{space 2} .0438753{col 26}{space 2} .0926261{col 37}{space 1}    0.47{col 46}{space 3}0.636{col 54}{space 4}-.1388575{col 67}{space 3}  .226608
{txt}c_tfull_b_~d {c |}{col 14}{res}{space 2}-.0112054{col 26}{space 2} .0634116{col 37}{space 1}   -0.18{col 46}{space 3}0.860{col 54}{space 4}-.1363039{col 67}{space 3}  .113893
{txt}c_tfull_ed~r {c |}{col 14}{res}{space 2}-.0005885{col 26}{space 2} .0042864{col 37}{space 1}   -0.14{col 46}{space 3}0.891{col 54}{space 4}-.0090448{col 67}{space 3} .0078678
{txt}c_tfull_b_~x {c |}{col 14}{res}{space 2} .0208246{col 26}{space 2} .0161114{col 37}{space 1}    1.29{col 46}{space 3}0.198{col 54}{space 4}-.0109599{col 67}{space 3} .0526091
{txt}c_trea~l_hc2 {c |}{col 14}{res}{space 2} -.201295{col 26}{space 2} .0788395{col 37}{space 1}   -2.55{col 46}{space 3}0.011{col 54}{space 4}-.3568295{col 67}{space 3}-.0457604
{txt}c_treatful.. {c |}{col 14}{res}{space 2}-.2215166{col 26}{space 2}  .086455{col 37}{space 1}   -2.56{col 46}{space 3}0.011{col 54}{space 4}-.3920751{col 67}{space 3}-.0509581
{txt}c_treatful.. {c |}{col 14}{res}{space 2} .0903211{col 26}{space 2} .1057118{col 37}{space 1}    0.85{col 46}{space 3}0.394{col 54}{space 4}-.1182272{col 67}{space 3} .2988694
{txt}c_treatful.. {c |}{col 14}{res}{space 2}-.0825642{col 26}{space 2} .0672076{col 37}{space 1}   -1.23{col 46}{space 3}0.221{col 54}{space 4}-.2151514{col 67}{space 3}  .050023
{txt}c_treatful.. {c |}{col 14}{res}{space 2} .0096658{col 26}{space 2} .0056663{col 37}{space 1}    1.71{col 46}{space 3}0.090{col 54}{space 4}-.0015126{col 67}{space 3} .0208442
{txt}c_treatful.. {c |}{col 14}{res}{space 2}-.0113743{col 26}{space 2} .0236335{col 37}{space 1}   -0.48{col 46}{space 3}0.631{col 54}{space 4}-.0579985{col 67}{space 3} .0352499
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} .0156324{col 26}{space 2} .0267145{col 37}{space 1}    0.59{col 46}{space 3}0.559{col 54}{space 4}  -.03707{col 67}{space 3} .0683348
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}     7,288
{txt}{col 49}F({res}  15{txt},{res}    186{txt}){col 67}= {res}      3.00
{txt}{col 49}Prob > F{col 67}= {res}    0.0002
{txt}{col 49}R-squared{col 67}= {res}    0.0178
{txt}{col 49}Adj R-squared{col 67}= {res}    0.0137
{txt}{col 49}Root MSE{col 67}= {res}    0.9126

{txt}{ralign 78:(Std. Err. adjusted for {res:187} clusters in hc_id)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}e_interest~z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2} .1007769{col 26}{space 2} .0299182{col 37}{space 1}    3.37{col 46}{space 3}0.001{col 54}{space 4} .0417542{col 67}{space 3} .1597995
{txt}b_interest~z {c |}{col 14}{res}{space 2} .0572419{col 26}{space 2}  .015358{col 37}{space 1}    3.73{col 46}{space 3}0.000{col 54}{space 4} .0269436{col 67}{space 3} .0875401
{txt}b_intere~z_d {c |}{col 14}{res}{space 2}-.0633343{col 26}{space 2} .0314689{col 37}{space 1}   -2.01{col 46}{space 3}0.046{col 54}{space 4}-.1254162{col 67}{space 3}-.0012525
{txt}{space 1}c_tfull_hc2 {c |}{col 14}{res}{space 2}  .041947{col 26}{space 2} .0511534{col 37}{space 1}    0.82{col 46}{space 3}0.413{col 54}{space 4}-.0589685{col 67}{space 3} .1428625
{txt}c_tfull_b_~l {c |}{col 14}{res}{space 2} .0802464{col 26}{space 2} .0732506{col 37}{space 1}    1.10{col 46}{space 3}0.275{col 54}{space 4}-.0642623{col 67}{space 3} .2247552
{txt}c_tfull_b_~s {c |}{col 14}{res}{space 2} .0951247{col 26}{space 2} .0878515{col 37}{space 1}    1.08{col 46}{space 3}0.280{col 54}{space 4}-.0781888{col 67}{space 3} .2684381
{txt}c_tfull_b_~d {c |}{col 14}{res}{space 2}-.0314939{col 26}{space 2} .0661463{col 37}{space 1}   -0.48{col 46}{space 3}0.635{col 54}{space 4}-.1619873{col 67}{space 3} .0989996
{txt}c_tfull_ed~r {c |}{col 14}{res}{space 2} .0036584{col 26}{space 2} .0043452{col 37}{space 1}    0.84{col 46}{space 3}0.401{col 54}{space 4}-.0049139{col 67}{space 3} .0122307
{txt}c_tfull_b_~x {c |}{col 14}{res}{space 2} .0177535{col 26}{space 2} .0167479{col 37}{space 1}    1.06{col 46}{space 3}0.291{col 54}{space 4}-.0152869{col 67}{space 3} .0507938
{txt}c_trea~l_hc2 {c |}{col 14}{res}{space 2}-.0777815{col 26}{space 2}  .068883{col 37}{space 1}   -1.13{col 46}{space 3}0.260{col 54}{space 4}-.2136738{col 67}{space 3} .0581108
{txt}c_treatful.. {c |}{col 14}{res}{space 2}-.1838463{col 26}{space 2} .0862103{col 37}{space 1}   -2.13{col 46}{space 3}0.034{col 54}{space 4}-.3539219{col 67}{space 3}-.0137707
{txt}c_treatful.. {c |}{col 14}{res}{space 2} -.019833{col 26}{space 2} .1079402{col 37}{space 1}   -0.18{col 46}{space 3}0.854{col 54}{space 4}-.2327774{col 67}{space 3} .1931115
{txt}c_treatful.. {c |}{col 14}{res}{space 2}-.0387575{col 26}{space 2} .0745698{col 37}{space 1}   -0.52{col 46}{space 3}0.604{col 54}{space 4}-.1858689{col 67}{space 3} .1083539
{txt}c_treatful.. {c |}{col 14}{res}{space 2} .0012842{col 26}{space 2} .0057522{col 37}{space 1}    0.22{col 46}{space 3}0.824{col 54}{space 4}-.0100638{col 67}{space 3} .0126322
{txt}c_treatful.. {c |}{col 14}{res}{space 2}-.0190294{col 26}{space 2} .0216385{col 37}{space 1}   -0.88{col 46}{space 3}0.380{col 54}{space 4}-.0617178{col 67}{space 3}  .023659
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} .0200259{col 26}{space 2} .0241617{col 37}{space 1}    0.83{col 46}{space 3}0.408{col 54}{space 4}-.0276404{col 67}{space 3} .0676922
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}     7,288
{txt}{col 49}F({res}  15{txt},{res}    186{txt}){col 67}= {res}      3.90
{txt}{col 49}Prob > F{col 67}= {res}    0.0000
{txt}{col 49}R-squared{col 67}= {res}    0.0225
{txt}{col 49}Adj R-squared{col 67}= {res}    0.0185
{txt}{col 49}Root MSE{col 67}= {res}    0.9323

{txt}{ralign 78:(Std. Err. adjusted for {res:187} clusters in hc_id)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}e_stafflis~z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2} .0711825{col 26}{space 2} .0311385{col 37}{space 1}    2.29{col 46}{space 3}0.023{col 54}{space 4} .0097525{col 67}{space 3} .1326125
{txt}b_stafflis~z {c |}{col 14}{res}{space 2} .0805733{col 26}{space 2} .0159134{col 37}{space 1}    5.06{col 46}{space 3}0.000{col 54}{space 4} .0491794{col 67}{space 3} .1119672
{txt}b_staffl~z_d {c |}{col 14}{res}{space 2}-.0365564{col 26}{space 2} .0300493{col 37}{space 1}   -1.22{col 46}{space 3}0.225{col 54}{space 4}-.0958376{col 67}{space 3} .0227249
{txt}{space 1}c_tfull_hc2 {c |}{col 14}{res}{space 2} .1178171{col 26}{space 2} .0562712{col 37}{space 1}    2.09{col 46}{space 3}0.038{col 54}{space 4} .0068052{col 67}{space 3}  .228829
{txt}c_tfull_b_~l {c |}{col 14}{res}{space 2} .0863856{col 26}{space 2} .0677874{col 37}{space 1}    1.27{col 46}{space 3}0.204{col 54}{space 4}-.0473455{col 67}{space 3} .2201167
{txt}c_tfull_b_~s {c |}{col 14}{res}{space 2} .0419717{col 26}{space 2}  .071773{col 37}{space 1}    0.58{col 46}{space 3}0.559{col 54}{space 4}-.0996221{col 67}{space 3} .1835656
{txt}c_tfull_b_~d {c |}{col 14}{res}{space 2}-.0139856{col 26}{space 2} .0667782{col 37}{space 1}   -0.21{col 46}{space 3}0.834{col 54}{space 4}-.1457257{col 67}{space 3} .1177545
{txt}c_tfull_ed~r {c |}{col 14}{res}{space 2} .0012456{col 26}{space 2} .0044603{col 37}{space 1}    0.28{col 46}{space 3}0.780{col 54}{space 4}-.0075535{col 67}{space 3} .0100448
{txt}c_tfull_b_~x {c |}{col 14}{res}{space 2} .0252094{col 26}{space 2} .0144371{col 37}{space 1}    1.75{col 46}{space 3}0.082{col 54}{space 4}-.0032721{col 67}{space 3}  .053691
{txt}c_trea~l_hc2 {c |}{col 14}{res}{space 2}-.1915283{col 26}{space 2} .0797284{col 37}{space 1}   -2.40{col 46}{space 3}0.017{col 54}{space 4}-.3488165{col 67}{space 3}-.0342401
{txt}c_treatful.. {c |}{col 14}{res}{space 2}-.1932135{col 26}{space 2} .0849264{col 37}{space 1}   -2.28{col 46}{space 3}0.024{col 54}{space 4}-.3607564{col 67}{space 3}-.0256706
{txt}c_treatful.. {c |}{col 14}{res}{space 2}-.0822985{col 26}{space 2} .0816692{col 37}{space 1}   -1.01{col 46}{space 3}0.315{col 54}{space 4}-.2434156{col 67}{space 3} .0788186
{txt}c_treatful.. {c |}{col 14}{res}{space 2}-.0859809{col 26}{space 2} .0720351{col 37}{space 1}   -1.19{col 46}{space 3}0.234{col 54}{space 4}-.2280916{col 67}{space 3} .0561299
{txt}c_treatful.. {c |}{col 14}{res}{space 2} .0062727{col 26}{space 2}  .005758{col 37}{space 1}    1.09{col 46}{space 3}0.277{col 54}{space 4}-.0050867{col 67}{space 3}  .017632
{txt}c_treatful.. {c |}{col 14}{res}{space 2}-.0465052{col 26}{space 2} .0210289{col 37}{space 1}   -2.21{col 46}{space 3}0.028{col 54}{space 4}-.0879909{col 67}{space 3}-.0050194
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} .0130939{col 26}{space 2} .0253458{col 37}{space 1}    0.52{col 46}{space 3}0.606{col 54}{space 4}-.0369083{col 67}{space 3}  .063096
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}     7,288
{txt}{col 49}F({res}  15{txt},{res}    186{txt}){col 67}= {res}      3.14
{txt}{col 49}Prob > F{col 67}= {res}    0.0001
{txt}{col 49}R-squared{col 67}= {res}    0.0189
{txt}{col 49}Adj R-squared{col 67}= {res}    0.0149
{txt}{col 49}Root MSE{col 67}= {res}    0.9709

{txt}{ralign 78:(Std. Err. adjusted for {res:187} clusters in hc_id)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}e_freeexpr~z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2} .0401136{col 26}{space 2}  .039426{col 37}{space 1}    1.02{col 46}{space 3}0.310{col 54}{space 4} -.037666{col 67}{space 3} .1178933
{txt}b_freeexpr~z {c |}{col 14}{res}{space 2} .0603997{col 26}{space 2}  .015894{col 37}{space 1}    3.80{col 46}{space 3}0.000{col 54}{space 4} .0290441{col 67}{space 3} .0917553
{txt}b_freeex~z_d {c |}{col 14}{res}{space 2} -.070551{col 26}{space 2} .0307493{col 37}{space 1}   -2.29{col 46}{space 3}0.023{col 54}{space 4}-.1312132{col 67}{space 3}-.0098887
{txt}{space 1}c_tfull_hc2 {c |}{col 14}{res}{space 2} .0593566{col 26}{space 2}  .055451{col 37}{space 1}    1.07{col 46}{space 3}0.286{col 54}{space 4}-.0500371{col 67}{space 3} .1687503
{txt}c_tfull_b_~l {c |}{col 14}{res}{space 2} .1298965{col 26}{space 2} .0821892{col 37}{space 1}    1.58{col 46}{space 3}0.116{col 54}{space 4}-.0322463{col 67}{space 3} .2920394
{txt}c_tfull_b_~s {c |}{col 14}{res}{space 2} .0920079{col 26}{space 2} .1105459{col 37}{space 1}    0.83{col 46}{space 3}0.406{col 54}{space 4}-.1260771{col 67}{space 3} .3100929
{txt}c_tfull_b_~d {c |}{col 14}{res}{space 2}-.0928055{col 26}{space 2} .0706728{col 37}{space 1}   -1.31{col 46}{space 3}0.191{col 54}{space 4}-.2322289{col 67}{space 3} .0466179
{txt}c_tfull_ed~r {c |}{col 14}{res}{space 2} .0008043{col 26}{space 2} .0040839{col 37}{space 1}    0.20{col 46}{space 3}0.844{col 54}{space 4}-.0072523{col 67}{space 3}  .008861
{txt}c_tfull_b_~x {c |}{col 14}{res}{space 2} .0187353{col 26}{space 2}  .017241{col 37}{space 1}    1.09{col 46}{space 3}0.279{col 54}{space 4}-.0152778{col 67}{space 3} .0527484
{txt}c_trea~l_hc2 {c |}{col 14}{res}{space 2}-.1848448{col 26}{space 2} .0833085{col 37}{space 1}   -2.22{col 46}{space 3}0.028{col 54}{space 4}-.3491959{col 67}{space 3}-.0204937
{txt}c_treatful.. {c |}{col 14}{res}{space 2} -.272775{col 26}{space 2} .1061761{col 37}{space 1}   -2.57{col 46}{space 3}0.011{col 54}{space 4}-.4822393{col 67}{space 3}-.0633107
{txt}c_treatful.. {c |}{col 14}{res}{space 2}-.1273234{col 26}{space 2} .1384666{col 37}{space 1}   -0.92{col 46}{space 3}0.359{col 54}{space 4}-.4004903{col 67}{space 3} .1458436
{txt}c_treatful.. {c |}{col 14}{res}{space 2} .0225985{col 26}{space 2} .0809245{col 37}{space 1}    0.28{col 46}{space 3}0.780{col 54}{space 4}-.1370493{col 67}{space 3} .1822462
{txt}c_treatful.. {c |}{col 14}{res}{space 2} .0106054{col 26}{space 2} .0055208{col 37}{space 1}    1.92{col 46}{space 3}0.056{col 54}{space 4}-.0002861{col 67}{space 3}  .021497
{txt}c_treatful.. {c |}{col 14}{res}{space 2}-.0446657{col 26}{space 2} .0257002{col 37}{space 1}   -1.74{col 46}{space 3}0.084{col 54}{space 4} -.095367{col 67}{space 3} .0060357
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} .0201314{col 26}{space 2} .0290167{col 37}{space 1}    0.69{col 46}{space 3}0.489{col 54}{space 4}-.0371127{col 67}{space 3} .0773755
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}     7,288
{txt}{col 49}F({res}  15{txt},{res}    186{txt}){col 67}= {res}      5.00
{txt}{col 49}Prob > F{col 67}= {res}    0.0000
{txt}{col 49}R-squared{col 67}= {res}    0.0532
{txt}{col 49}Adj R-squared{col 67}= {res}    0.0492
{txt}{col 49}Root MSE{col 67}= {res}    0.9801

{txt}{ralign 78:(Std. Err. adjusted for {res:187} clusters in hc_id)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}e_yearb_av~z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2} .0778671{col 26}{space 2} .0400011{col 37}{space 1}    1.95{col 46}{space 3}0.053{col 54}{space 4}-.0010471{col 67}{space 3} .1567813
{txt}b_yearb_av~z {c |}{col 14}{res}{space 2} .0541918{col 26}{space 2} .0129133{col 37}{space 1}    4.20{col 46}{space 3}0.000{col 54}{space 4} .0287164{col 67}{space 3} .0796673
{txt}b_yearb_~z_d {c |}{col 14}{res}{space 2} .0480329{col 26}{space 2} .0307726{col 37}{space 1}    1.56{col 46}{space 3}0.120{col 54}{space 4}-.0126754{col 67}{space 3} .1087411
{txt}{space 1}c_tfull_hc2 {c |}{col 14}{res}{space 2}-.1392514{col 26}{space 2} .0927023{col 37}{space 1}   -1.50{col 46}{space 3}0.135{col 54}{space 4}-.3221345{col 67}{space 3} .0436317
{txt}c_tfull_b_~l {c |}{col 14}{res}{space 2} .0671288{col 26}{space 2} .1211714{col 37}{space 1}    0.55{col 46}{space 3}0.580{col 54}{space 4}-.1719182{col 67}{space 3} .3061757
{txt}c_tfull_b_~s {c |}{col 14}{res}{space 2} -.093486{col 26}{space 2} .1235768{col 37}{space 1}   -0.76{col 46}{space 3}0.450{col 54}{space 4}-.3372783{col 67}{space 3} .1503063
{txt}c_tfull_b_~d {c |}{col 14}{res}{space 2}-.0297476{col 26}{space 2} .0654072{col 37}{space 1}   -0.45{col 46}{space 3}0.650{col 54}{space 4}-.1587829{col 67}{space 3} .0992878
{txt}c_tfull_ed~r {c |}{col 14}{res}{space 2} .0062156{col 26}{space 2} .0044568{col 37}{space 1}    1.39{col 46}{space 3}0.165{col 54}{space 4}-.0025768{col 67}{space 3} .0150079
{txt}c_tfull_b_~x {c |}{col 14}{res}{space 2} .0191078{col 26}{space 2} .0203376{col 37}{space 1}    0.94{col 46}{space 3}0.349{col 54}{space 4}-.0210141{col 67}{space 3} .0592298
{txt}c_trea~l_hc2 {c |}{col 14}{res}{space 2} -.119861{col 26}{space 2} .1017733{col 37}{space 1}   -1.18{col 46}{space 3}0.240{col 54}{space 4}-.3206394{col 67}{space 3} .0809174
{txt}c_treatful.. {c |}{col 14}{res}{space 2}-.0871137{col 26}{space 2} .1226079{col 37}{space 1}   -0.71{col 46}{space 3}0.478{col 54}{space 4}-.3289945{col 67}{space 3} .1547671
{txt}c_treatful.. {c |}{col 14}{res}{space 2} .1191148{col 26}{space 2} .1324125{col 37}{space 1}    0.90{col 46}{space 3}0.370{col 54}{space 4}-.1421085{col 67}{space 3} .3803382
{txt}c_treatful.. {c |}{col 14}{res}{space 2} .1095098{col 26}{space 2} .0857837{col 37}{space 1}    1.28{col 46}{space 3}0.203{col 54}{space 4}-.0597243{col 67}{space 3} .2787439
{txt}c_treatful.. {c |}{col 14}{res}{space 2}-.0068263{col 26}{space 2} .0058787{col 37}{space 1}   -1.16{col 46}{space 3}0.247{col 54}{space 4}-.0184237{col 67}{space 3} .0047711
{txt}c_treatful.. {c |}{col 14}{res}{space 2}-.0373096{col 26}{space 2} .0288103{col 37}{space 1}   -1.30{col 46}{space 3}0.197{col 54}{space 4}-.0941466{col 67}{space 3} .0195275
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} -.024076{col 26}{space 2} .0318012{col 37}{space 1}   -0.76{col 46}{space 3}0.450{col 54}{space 4}-.0868133{col 67}{space 3} .0386614
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{com}.                 
.         local y = 8
{txt}
{com}.         foreach x in `patsat_nobaseline' {c -(}
{txt}  2{com}.                 areg e_`x' `var' `e_controls_tfull' ``var'_int_e_controls', robust cl(hc_id) a(district)
{txt}  3{com}.                 
.                 local p_`y' = (2 * ttail(e(df_r), abs(_b[`var']/_se[`var'])))
{txt}  4{com}.                 
.                 estimates store m`y'
{txt}  5{com}.                 {c )-}

{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}     7,288
{txt}{col 49}F({res}  13{txt},{res}    186{txt}){col 67}= {res}      3.80
{txt}{col 49}Prob > F{col 67}= {res}    0.0000
{txt}{col 49}R-squared{col 67}= {res}    0.0656
{txt}{col 49}Adj R-squared{col 67}= {res}    0.0620
{txt}{col 49}Root MSE{col 67}= {res}    0.9745

{txt}{ralign 78:(Std. Err. adjusted for {res:187} clusters in hc_id)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}e_qualityh~z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2} .1052957{col 26}{space 2} .0347314{col 37}{space 1}    3.03{col 46}{space 3}0.003{col 54}{space 4} .0367777{col 67}{space 3} .1738138
{txt}{space 1}c_tfull_hc2 {c |}{col 14}{res}{space 2}-.1851025{col 26}{space 2}  .060706{col 37}{space 1}   -3.05{col 46}{space 3}0.003{col 54}{space 4}-.3048633{col 67}{space 3}-.0653418
{txt}c_tfull_b_~l {c |}{col 14}{res}{space 2} .0999952{col 26}{space 2}  .079912{col 37}{space 1}    1.25{col 46}{space 3}0.212{col 54}{space 4}-.0576552{col 67}{space 3} .2576455
{txt}c_tfull_b_~s {c |}{col 14}{res}{space 2}-.0769984{col 26}{space 2} .0891841{col 37}{space 1}   -0.86{col 46}{space 3}0.389{col 54}{space 4}-.2529407{col 67}{space 3}  .098944
{txt}c_tfull_b_~d {c |}{col 14}{res}{space 2} .0522258{col 26}{space 2}  .067626{col 37}{space 1}    0.77{col 46}{space 3}0.441{col 54}{space 4}-.0811869{col 67}{space 3} .1856385
{txt}c_tfull_ed~r {c |}{col 14}{res}{space 2}-.0023597{col 26}{space 2} .0039748{col 37}{space 1}   -0.59{col 46}{space 3}0.553{col 54}{space 4}-.0102011{col 67}{space 3} .0054818
{txt}c_tfull_b_~x {c |}{col 14}{res}{space 2} .0147028{col 26}{space 2} .0188933{col 37}{space 1}    0.78{col 46}{space 3}0.437{col 54}{space 4}-.0225699{col 67}{space 3} .0519756
{txt}c_trea~l_hc2 {c |}{col 14}{res}{space 2}-.0108259{col 26}{space 2} .0859255{col 37}{space 1}   -0.13{col 46}{space 3}0.900{col 54}{space 4}-.1803396{col 67}{space 3} .1586878
{txt}c_treatful.. {c |}{col 14}{res}{space 2}-.0616495{col 26}{space 2} .0997072{col 37}{space 1}   -0.62{col 46}{space 3}0.537{col 54}{space 4}-.2583518{col 67}{space 3} .1350528
{txt}c_treatful.. {c |}{col 14}{res}{space 2}-.0108543{col 26}{space 2} .1097739{col 37}{space 1}   -0.10{col 46}{space 3}0.921{col 54}{space 4}-.2274164{col 67}{space 3} .2057077
{txt}c_treatful.. {c |}{col 14}{res}{space 2}-.0345894{col 26}{space 2} .0976114{col 37}{space 1}   -0.35{col 46}{space 3}0.723{col 54}{space 4}-.2271571{col 67}{space 3} .1579783
{txt}c_treatful.. {c |}{col 14}{res}{space 2}-.0037043{col 26}{space 2} .0058217{col 37}{space 1}   -0.64{col 46}{space 3}0.525{col 54}{space 4}-.0151893{col 67}{space 3} .0077808
{txt}c_treatful.. {c |}{col 14}{res}{space 2}-.0066779{col 26}{space 2} .0289007{col 37}{space 1}   -0.23{col 46}{space 3}0.818{col 54}{space 4}-.0636933{col 67}{space 3} .0503375
{txt}{space 7}_cons {c |}{col 14}{res}{space 2}-.0072874{col 26}{space 2} .0231702{col 37}{space 1}   -0.31{col 46}{space 3}0.753{col 54}{space 4}-.0529975{col 67}{space 3} .0384227
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{com}. 
.         * We create the adjusted p-value following the Benjamini-Hochberg methodology 
. 
.         local ps `p_2'
{txt}
{com}.         forvalues x = 3/`y' {c -(}
{txt}  2{com}.                 local ps `ps' \ `p_`x''
{txt}  3{com}.                 {c )-}
{txt}
{com}. 
.         matrix mat = (`ps')
{txt}
{com}.                 
.         * We need to rank the p-value, transpose it and transfer it to local
.         
.         matsort mat 1 "up"
{txt}
{com}.         
.         mat ps_mat = mat'
{txt}
{com}.         
.         mat list ps_mat
{res}
{txt}ps_mat[1,7]
           r3         r7         r4         r2
c1 {res} .00091894  .00277858  .02338175  .03402946

{txt}           r6         r1         r5
c1 {res} .05308606  .05564234  .31026574
{reset}
{com}.         
.         local ps_rank
{txt}
{com}.         
.         forvalues z = 1/`y' {c -(}
{txt}  2{com}.                 local x = ps_mat[1,`z']
{txt}  3{com}.                 local ps_rank `ps_rank' `x'
{txt}  4{com}.                 {c )-}
{txt}
{com}.                 
.         di "`ps_rank'"
{res}.0009189365942443 .0027785819718092 .0233817496792229 .0340294560365973 .0530860603740017 .0556423448332967 .3102657356997284 .
{txt}
{com}.         
.         * We count the number of tests (numerator)
.         
.         local num_p = `y' - 1
{txt}
{com}.         
.         * We calculate the BH value
.         
.         local z = 0
{txt}
{com}.         foreach i of local ps_rank {c -(}
{txt}  2{com}.                 local z = `z' + 1 
{txt}  3{com}.                 local adj_p`z' = (`i' * `num_p') / `z'
{txt}  4{com}.                 {c )-}
{txt}
{com}.                 
.         * We compare it according to the rank and eventually replace it
.         
.         forvalues r = 1/`y' {c -(}
{txt}  2{com}.         local d = `y' - 1
{txt}  3{com}.         forvalues z = 1/`d' {c -(}
{txt}  4{com}.                 local v = `z' + 1
{txt}  5{com}.                         if `adj_p`z'' >= `adj_p`v'' {c -(}
{txt}  6{com}.                                 local adj_p`z' `adj_p`v''
{txt}  7{com}.                                 {c )-}
{txt}  8{com}.                         {c )-}
{txt}  9{com}.                         {c )-}
{txt}
{com}.         
.         * We store it in the estimator
.         
.         local z = 0
{txt}
{com}.         foreach i of local ps_rank {c -(}
{txt}  2{com}.                 local z = `z' + 1 
{txt}  3{com}.                 forvalues j = 2/`y' {c -(}
{txt}  4{com}.                         if `i' == `p_`j'' {c -(} 
{txt}  5{com}.                         estimates restore m`j'
{txt}  6{com}.                         estadd scalar adj_p = `adj_p`z''
{txt}  7{com}.                         {c )-}
{txt}  8{com}.                 {c )-}
{txt}  9{com}.                 {c )-}       
{txt}(results {stata estimates replay m4:m4} are active now)

added scalar:
              e(adj_p) =  {res}.00643256
{txt}(results {stata estimates replay m8:m8} are active now)

added scalar:
              e(adj_p) =  {res}.00972504
{txt}(results {stata estimates replay m5:m5} are active now)

added scalar:
              e(adj_p) =  {res}.05455742
{txt}(results {stata estimates replay m3:m3} are active now)

added scalar:
              e(adj_p) =  {res}.05955155
{txt}(results {stata estimates replay m7:m7} are active now)

added scalar:
              e(adj_p) =  {res}.06491607
{txt}(results {stata estimates replay m2:m2} are active now)

added scalar:
              e(adj_p) =  {res}.06491607
{txt}(results {stata estimates replay m6:m6} are active now)

added scalar:
              e(adj_p) =  {res}.31026574
{txt}
{com}.                 
.         * We include the adjusted p-value from the main outcomes index
.         
.         estimates restore m1
{txt}(results {stata estimates replay m1:m1} are active now)

{com}.         estadd scalar adj_p = 0.010

{txt}added scalar:
              e(adj_p) =  {res}.01
{txt}
{com}.         
.         *************************************************
.         * Table Patient satisfaction outcomes (endline) *
.         *************************************************
.         
.         coefplot (m1 \ m8 \ m2 \ m3 \ m4 \ m5 \ m6 \ m7 ), keep(`var') xline(0, lcolor(gray)) scheme(s1mono) mcolor(blue) mlcolor(blue) levels(95 90) ciopts(lcolor(blue blue) lwidth(medium thick)) grid(none) xtick(-.4 -.2 0 .2 .4) xlabel(-.4 -.2 0 .2 .4) aseq swapnames coeflabels(m1 = "{c -(}bf:Patient satisfaction index{c )-}" m8 = "Satisfied by health centre quality" m2 = "Satisfied with quality of care" m3 = "Polite staff" m4 = "Staff interested in their health" m5 = "Staff listening" m6 = "Free to express" m7 = "Availability of staff improving")  note("Displaying 95% and 90% confidence intervals")
{res}{txt}
{com}.         qui graph export "${c -(}Figures{c )-}/Figure4e_patsat.png", replace
{txt}
{com}.         
.         # delimit;
{txt}delimiter now ;
{com}.                 esttab m1 m8 m2 m3 m4 m5 m6 m7
>         using "${c -(}tables{c )-}/TableI10.tex", b(%5.3f) se(%5.3f)
>                 title(Patient satisfaction index -- Subcomponents)
>                 keep(`var' _cons)
>                 varlabels (`var' "Full treatment" _cons "Constant")
>                 starlevels(* .10 ** .05 *** .01)                
>                 mtitles("\textbf{c -(}\begin{c -(}tabular{c )-}[c]{c -(}@{c -(}{c )-}c@{c -(}{c )-}{c )-}Patient\\satisfaction\\index\end{c -(}tabular{c )-}{c )-}"
>                                 "\begin{c -(}tabular{c )-}[c]{c -(}@{c -(}{c )-}c@{c -(}{c )-}{c )-}Satisfied by\\HC quality\end{c -(}tabular{c )-}"
>                                 "\begin{c -(}tabular{c )-}[c]{c -(}@{c -(}{c )-}c@{c -(}{c )-}{c )-}Satisfied\\with quality\\of care\end{c -(}tabular{c )-}"
>                                 "\begin{c -(}tabular{c )-}[c]{c -(}@{c -(}{c )-}c@{c -(}{c )-}{c )-}Polite\\staff\end{c -(}tabular{c )-}"
>                                 "\begin{c -(}tabular{c )-}[c]{c -(}@{c -(}{c )-}c@{c -(}{c )-}{c )-}Staff\\interested\\in health\end{c -(}tabular{c )-}"
>                                 "\begin{c -(}tabular{c )-}[c]{c -(}@{c -(}{c )-}c@{c -(}{c )-}{c )-}Staff\\listening\end{c -(}tabular{c )-}"
>                                 "\begin{c -(}tabular{c )-}[c]{c -(}@{c -(}{c )-}c@{c -(}{c )-}{c )-}Free to\\express\\clearly\end{c -(}tabular{c )-}"
>                                 "\begin{c -(}tabular{c )-}[c]{c -(}@{c -(}{c )-}c@{c -(}{c )-}{c )-} Availability\\of staff\\improving\end{c -(}tabular{c )-}")
>                 stats(N r2 adj_p, labels("N" "R$^{c -(}2{c )-}$" "Adjusted p-value (FT)") fmt(%9.0fc %9.3fc)) label booktabs nonotes replace
>         
>         ;
{res}{txt}(output written to {browse  `"/Users/fredericcochinard/Dropbox/ACT_Health_JOP_replication_file/3.Tables and Figures/Tables/TableI10.tex"'})

{com}.                 # delimit cr
{txt}delimiter now cr
{com}.         
.         ********************
.         * Non standardized *
.         ********************
.         
.         * At endline:
.         
.         eststo clear
{txt}
{com}.         
.         local y = 1
{txt}
{com}.         foreach x in `patsat_ns' {c -(}
{txt}  2{com}.                 areg e_`x' `var' b_`x' b_`x'_d `e_controls_tfull' ``var'_int_e_controls', robust cl(hc_id) a(district)
{txt}  3{com}.                 
.                 estimates store m`y'
{txt}  4{com}.                 
.                 qui sum e_`x' if `var' == 0
{txt}  5{com}.                 local meane_`x' r(mean)
{txt}  6{com}.                 local meane_`x' = string(`meane_`x'',"%9.3fc")
{txt}  7{com}.                 
.                 qui sum b_`x' if `var' == 0
{txt}  8{com}.                 local meanb_`x' r(mean)
{txt}  9{com}.                 local meanb_`x' = string(`meanb_`x'',"%9.3fc")
{txt} 10{com}.                 
.                 estadd scalar meanb = `meanb_`x''
{txt} 11{com}.                 estadd scalar meane = `meane_`x''
{txt} 12{com}.         
.                 local y = `y' + 1
{txt} 13{com}.                 {c )-}
{txt}note: b_patsat_z_d omitted because of collinearity
{res}
{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}     7,288
{txt}{col 49}F({res}  14{txt},{res}    186{txt}){col 67}= {res}      9.05
{txt}{col 49}Prob > F{col 67}= {res}    0.0000
{txt}{col 49}R-squared{col 67}= {res}    0.0425
{txt}{col 49}Adj R-squared{col 67}= {res}    0.0387
{txt}{col 49}Root MSE{col 67}= {res}    0.5862

{txt}{ralign 78:(Std. Err. adjusted for {res:187} clusters in hc_id)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}  e_patsat_z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2} .0766698{col 26}{space 2}  .023602{col 37}{space 1}    3.25{col 46}{space 3}0.001{col 54}{space 4} .0301077{col 67}{space 3} .1232319
{txt}{space 2}b_patsat_z {c |}{col 14}{res}{space 2} .1381434{col 26}{space 2} .0151288{col 37}{space 1}    9.13{col 46}{space 3}0.000{col 54}{space 4} .1082973{col 67}{space 3} .1679895
{txt}b_patsat_z_d {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 1}c_tfull_hc2 {c |}{col 14}{res}{space 2} .0124335{col 26}{space 2} .0399891{col 37}{space 1}    0.31{col 46}{space 3}0.756{col 54}{space 4} -.066457{col 67}{space 3} .0913239
{txt}c_tfull_b_~l {c |}{col 14}{res}{space 2}  .099912{col 26}{space 2}  .051595{col 37}{space 1}    1.94{col 46}{space 3}0.054{col 54}{space 4}-.0018747{col 67}{space 3} .2016987
{txt}c_tfull_b_~s {c |}{col 14}{res}{space 2} .0058389{col 26}{space 2} .0649235{col 37}{space 1}    0.09{col 46}{space 3}0.928{col 54}{space 4}-.1222422{col 67}{space 3}   .13392
{txt}c_tfull_b_~d {c |}{col 14}{res}{space 2} .0028207{col 26}{space 2} .0432805{col 37}{space 1}    0.07{col 46}{space 3}0.948{col 54}{space 4}-.0825632{col 67}{space 3} .0882046
{txt}c_tfull_ed~r {c |}{col 14}{res}{space 2} .0018915{col 26}{space 2} .0028311{col 37}{space 1}    0.67{col 46}{space 3}0.505{col 54}{space 4}-.0036937{col 67}{space 3} .0074767
{txt}c_tfull_b_~x {c |}{col 14}{res}{space 2} .0145285{col 26}{space 2} .0099867{col 37}{space 1}    1.45{col 46}{space 3}0.147{col 54}{space 4}-.0051733{col 67}{space 3} .0342303
{txt}c_trea~l_hc2 {c |}{col 14}{res}{space 2}-.1187986{col 26}{space 2} .0544174{col 37}{space 1}   -2.18{col 46}{space 3}0.030{col 54}{space 4}-.2261532{col 67}{space 3}-.0114439
{txt}c_treatful.. {c |}{col 14}{res}{space 2}-.1632267{col 26}{space 2} .0637943{col 37}{space 1}   -2.56{col 46}{space 3}0.011{col 54}{space 4}  -.28908{col 67}{space 3}-.0373734
{txt}c_treatful.. {c |}{col 14}{res}{space 2} .0113699{col 26}{space 2} .0749944{col 37}{space 1}    0.15{col 46}{space 3}0.880{col 54}{space 4}-.1365791{col 67}{space 3} .1593189
{txt}c_treatful.. {c |}{col 14}{res}{space 2}-.0227408{col 26}{space 2} .0514382{col 37}{space 1}   -0.44{col 46}{space 3}0.659{col 54}{space 4}-.1242181{col 67}{space 3} .0787366
{txt}c_treatful.. {c |}{col 14}{res}{space 2} .0026683{col 26}{space 2} .0037246{col 37}{space 1}    0.72{col 46}{space 3}0.475{col 54}{space 4}-.0046795{col 67}{space 3} .0100162
{txt}c_treatful.. {c |}{col 14}{res}{space 2}-.0265156{col 26}{space 2} .0143484{col 37}{space 1}   -1.85{col 46}{space 3}0.066{col 54}{space 4}-.0548222{col 67}{space 3} .0017909
{txt}{space 7}_cons {c |}{col 14}{res}{space 2}-.0018319{col 26}{space 2} .0176994{col 37}{space 1}   -0.10{col 46}{space 3}0.918{col 54}{space 4}-.0367493{col 67}{space 3} .0330855
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

added scalar:
              e(meanb) =  {res}0

{txt}added scalar:
              e(meane) =  {res}0

{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}     7,288
{txt}{col 49}F({res}  15{txt},{res}    186{txt}){col 67}= {res}      9.42
{txt}{col 49}Prob > F{col 67}= {res}    0.0000
{txt}{col 49}R-squared{col 67}= {res}    0.0438
{txt}{col 49}Adj R-squared{col 67}= {res}    0.0398
{txt}{col 49}Root MSE{col 67}= {res}    0.3645

{txt}{ralign 78:(Std. Err. adjusted for {res:187} clusters in hc_id)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}e_qualityc~e{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2} .0233114{col 26}{space 2} .0121042{col 37}{space 1}    1.93{col 46}{space 3}0.056{col 54}{space 4}-.0005677{col 67}{space 3} .0471905
{txt}b_qualityc~e {c |}{col 14}{res}{space 2} .1029062{col 26}{space 2} .0102892{col 37}{space 1}   10.00{col 46}{space 3}0.000{col 54}{space 4} .0826077{col 67}{space 3} .1232047
{txt}b_qualit~e_d {c |}{col 14}{res}{space 2}-.0500577{col 26}{space 2} .0180309{col 37}{space 1}   -2.78{col 46}{space 3}0.006{col 54}{space 4} -.085629{col 67}{space 3}-.0144864
{txt}{space 1}c_tfull_hc2 {c |}{col 14}{res}{space 2} .0272886{col 26}{space 2} .0193239{col 37}{space 1}    1.41{col 46}{space 3}0.160{col 54}{space 4}-.0108337{col 67}{space 3} .0654108
{txt}c_tfull_b_~l {c |}{col 14}{res}{space 2} .0394707{col 26}{space 2} .0290066{col 37}{space 1}    1.36{col 46}{space 3}0.175{col 54}{space 4}-.0177536{col 67}{space 3} .0966949
{txt}c_tfull_b_~s {c |}{col 14}{res}{space 2}-.0081211{col 26}{space 2} .0354742{col 37}{space 1}   -0.23{col 46}{space 3}0.819{col 54}{space 4}-.0781047{col 67}{space 3} .0618624
{txt}c_tfull_b_~d {c |}{col 14}{res}{space 2}-.0499345{col 26}{space 2} .0274248{col 37}{space 1}   -1.82{col 46}{space 3}0.070{col 54}{space 4}-.1040382{col 67}{space 3} .0041691
{txt}c_tfull_ed~r {c |}{col 14}{res}{space 2}  .000994{col 26}{space 2} .0015413{col 37}{space 1}    0.64{col 46}{space 3}0.520{col 54}{space 4}-.0020467{col 67}{space 3} .0040348
{txt}c_tfull_b_~x {c |}{col 14}{res}{space 2}  .003959{col 26}{space 2} .0064863{col 37}{space 1}    0.61{col 46}{space 3}0.542{col 54}{space 4}-.0088372{col 67}{space 3} .0167552
{txt}c_trea~l_hc2 {c |}{col 14}{res}{space 2}-.0231054{col 26}{space 2} .0270525{col 37}{space 1}   -0.85{col 46}{space 3}0.394{col 54}{space 4}-.0764746{col 67}{space 3} .0302637
{txt}c_treatful.. {c |}{col 14}{res}{space 2}-.0569971{col 26}{space 2} .0358582{col 37}{space 1}   -1.59{col 46}{space 3}0.114{col 54}{space 4}-.1277381{col 67}{space 3} .0137439
{txt}c_treatful.. {c |}{col 14}{res}{space 2} .0414411{col 26}{space 2} .0428902{col 37}{space 1}    0.97{col 46}{space 3}0.335{col 54}{space 4}-.0431727{col 67}{space 3} .1260548
{txt}c_treatful.. {c |}{col 14}{res}{space 2} .0082087{col 26}{space 2} .0315894{col 37}{space 1}    0.26{col 46}{space 3}0.795{col 54}{space 4}-.0541108{col 67}{space 3} .0705283
{txt}c_treatful.. {c |}{col 14}{res}{space 2} .0016123{col 26}{space 2} .0020967{col 37}{space 1}    0.77{col 46}{space 3}0.443{col 54}{space 4}-.0025241{col 67}{space 3} .0057488
{txt}c_treatful.. {c |}{col 14}{res}{space 2} -.013513{col 26}{space 2} .0097257{col 37}{space 1}   -1.39{col 46}{space 3}0.166{col 54}{space 4}   -.0327{col 67}{space 3} .0056739
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} .7120395{col 26}{space 2} .0117644{col 37}{space 1}   60.52{col 46}{space 3}0.000{col 54}{space 4} .6888306{col 67}{space 3} .7352484
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

added scalar:
              e(meanb) =  {res}.674

{txt}added scalar:
              e(meane) =  {res}.775

{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}     7,288
{txt}{col 49}F({res}  15{txt},{res}    186{txt}){col 67}= {res}      3.98
{txt}{col 49}Prob > F{col 67}= {res}    0.0000
{txt}{col 49}R-squared{col 67}= {res}    0.0240
{txt}{col 49}Adj R-squared{col 67}= {res}    0.0199
{txt}{col 49}Root MSE{col 67}= {res}    0.2000

{txt}{ralign 78:(Std. Err. adjusted for {res:187} clusters in hc_id)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}e_politest~f{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2} .0158839{col 26}{space 2} .0074381{col 37}{space 1}    2.14{col 46}{space 3}0.034{col 54}{space 4} .0012101{col 67}{space 3} .0305577
{txt}b_politest~f {c |}{col 14}{res}{space 2} .0669443{col 26}{space 2}   .01346{col 37}{space 1}    4.97{col 46}{space 3}0.000{col 54}{space 4} .0403905{col 67}{space 3} .0934981
{txt}b_polite~f_d {c |}{col 14}{res}{space 2}-.0108014{col 26}{space 2}  .006604{col 37}{space 1}   -1.64{col 46}{space 3}0.104{col 54}{space 4}-.0238298{col 67}{space 3}  .002227
{txt}{space 1}c_tfull_hc2 {c |}{col 14}{res}{space 2} .0287271{col 26}{space 2}  .012146{col 37}{space 1}    2.37{col 46}{space 3}0.019{col 54}{space 4} .0047655{col 67}{space 3} .0526887
{txt}c_tfull_b_~l {c |}{col 14}{res}{space 2} .0286811{col 26}{space 2} .0153725{col 37}{space 1}    1.87{col 46}{space 3}0.064{col 54}{space 4}-.0016456{col 67}{space 3} .0590079
{txt}c_tfull_b_~s {c |}{col 14}{res}{space 2} .0093891{col 26}{space 2} .0198215{col 37}{space 1}    0.47{col 46}{space 3}0.636{col 54}{space 4}-.0297148{col 67}{space 3} .0484929
{txt}c_tfull_b_~d {c |}{col 14}{res}{space 2}-.0023979{col 26}{space 2} .0135698{col 37}{space 1}   -0.18{col 46}{space 3}0.860{col 54}{space 4}-.0291683{col 67}{space 3} .0243725
{txt}c_tfull_ed~r {c |}{col 14}{res}{space 2}-.0001259{col 26}{space 2} .0009173{col 37}{space 1}   -0.14{col 46}{space 3}0.891{col 54}{space 4}-.0019355{col 67}{space 3} .0016837
{txt}c_tfull_b_~x {c |}{col 14}{res}{space 2} .0044564{col 26}{space 2} .0034477{col 37}{space 1}    1.29{col 46}{space 3}0.198{col 54}{space 4}-.0023454{col 67}{space 3} .0112581
{txt}c_trea~l_hc2 {c |}{col 14}{res}{space 2}-.0430761{col 26}{space 2} .0168712{col 37}{space 1}   -2.55{col 46}{space 3}0.011{col 54}{space 4}-.0763597{col 67}{space 3}-.0097925
{txt}c_treatful.. {c |}{col 14}{res}{space 2}-.0474034{col 26}{space 2} .0185009{col 37}{space 1}   -2.56{col 46}{space 3}0.011{col 54}{space 4} -.083902{col 67}{space 3}-.0109048
{txt}c_treatful.. {c |}{col 14}{res}{space 2} .0193283{col 26}{space 2} .0226218{col 37}{space 1}    0.85{col 46}{space 3}0.394{col 54}{space 4}   -.0253{col 67}{space 3} .0639565
{txt}c_treatful.. {c |}{col 14}{res}{space 2}-.0176683{col 26}{space 2} .0143821{col 37}{space 1}   -1.23{col 46}{space 3}0.221{col 54}{space 4}-.0460413{col 67}{space 3} .0107047
{txt}c_treatful.. {c |}{col 14}{res}{space 2} .0020684{col 26}{space 2} .0012126{col 37}{space 1}    1.71{col 46}{space 3}0.090{col 54}{space 4}-.0003237{col 67}{space 3} .0044606
{txt}c_treatful.. {c |}{col 14}{res}{space 2} -.002434{col 26}{space 2} .0050575{col 37}{space 1}   -0.48{col 46}{space 3}0.631{col 54}{space 4}-.0124114{col 67}{space 3} .0075433
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} .8780485{col 26}{space 2} .0138342{col 37}{space 1}   63.47{col 46}{space 3}0.000{col 54}{space 4} .8507563{col 67}{space 3} .9053406
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

added scalar:
              e(meanb) =  {res}.906

{txt}added scalar:
              e(meane) =  {res}.935

{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}     7,288
{txt}{col 49}F({res}  15{txt},{res}    186{txt}){col 67}= {res}      3.00
{txt}{col 49}Prob > F{col 67}= {res}    0.0002
{txt}{col 49}R-squared{col 67}= {res}    0.0178
{txt}{col 49}Adj R-squared{col 67}= {res}    0.0137
{txt}{col 49}Root MSE{col 67}= {res}    0.2079

{txt}{ralign 78:(Std. Err. adjusted for {res:187} clusters in hc_id)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}e_interest~h{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2} .0229565{col 26}{space 2} .0068152{col 37}{space 1}    3.37{col 46}{space 3}0.001{col 54}{space 4} .0095114{col 67}{space 3} .0364015
{txt}b_interest~h {c |}{col 14}{res}{space 2} .0512233{col 26}{space 2} .0137432{col 37}{space 1}    3.73{col 46}{space 3}0.000{col 54}{space 4} .0241107{col 67}{space 3} .0783359
{txt}b_intere~h_d {c |}{col 14}{res}{space 2}-.0144272{col 26}{space 2} .0071685{col 37}{space 1}   -2.01{col 46}{space 3}0.046{col 54}{space 4}-.0285692{col 67}{space 3}-.0002853
{txt}{space 1}c_tfull_hc2 {c |}{col 14}{res}{space 2} .0095553{col 26}{space 2} .0116525{col 37}{space 1}    0.82{col 46}{space 3}0.413{col 54}{space 4}-.0134327{col 67}{space 3} .0325434
{txt}c_tfull_b_~l {c |}{col 14}{res}{space 2} .0182797{col 26}{space 2} .0166861{col 37}{space 1}    1.10{col 46}{space 3}0.275{col 54}{space 4}-.0146386{col 67}{space 3} .0511981
{txt}c_tfull_b_~s {c |}{col 14}{res}{space 2} .0216689{col 26}{space 2} .0200121{col 37}{space 1}    1.08{col 46}{space 3}0.280{col 54}{space 4} -.017811{col 67}{space 3} .0611488
{txt}c_tfull_b_~d {c |}{col 14}{res}{space 2}-.0071741{col 26}{space 2} .0150678{col 37}{space 1}   -0.48{col 46}{space 3}0.635{col 54}{space 4}-.0368999{col 67}{space 3} .0225516
{txt}c_tfull_ed~r {c |}{col 14}{res}{space 2} .0008334{col 26}{space 2} .0009898{col 37}{space 1}    0.84{col 46}{space 3}0.401{col 54}{space 4}-.0011194{col 67}{space 3} .0027861
{txt}c_tfull_b_~x {c |}{col 14}{res}{space 2} .0040442{col 26}{space 2} .0038151{col 37}{space 1}    1.06{col 46}{space 3}0.291{col 54}{space 4}-.0034823{col 67}{space 3} .0115706
{txt}c_trea~l_hc2 {c |}{col 14}{res}{space 2}-.0177182{col 26}{space 2} .0156912{col 37}{space 1}   -1.13{col 46}{space 3}0.260{col 54}{space 4}-.0486738{col 67}{space 3} .0132374
{txt}c_treatful.. {c |}{col 14}{res}{space 2}-.0418793{col 26}{space 2} .0196383{col 37}{space 1}   -2.13{col 46}{space 3}0.034{col 54}{space 4}-.0806216{col 67}{space 3}-.0031369
{txt}c_treatful.. {c |}{col 14}{res}{space 2}-.0045179{col 26}{space 2} .0245882{col 37}{space 1}   -0.18{col 46}{space 3}0.854{col 54}{space 4}-.0530255{col 67}{space 3} .0439898
{txt}c_treatful.. {c |}{col 14}{res}{space 2}-.0088288{col 26}{space 2} .0169866{col 37}{space 1}   -0.52{col 46}{space 3}0.604{col 54}{space 4}  -.04234{col 67}{space 3} .0246825
{txt}c_treatful.. {c |}{col 14}{res}{space 2} .0002925{col 26}{space 2} .0013103{col 37}{space 1}    0.22{col 46}{space 3}0.824{col 54}{space 4}-.0022925{col 67}{space 3} .0028775
{txt}c_treatful.. {c |}{col 14}{res}{space 2}-.0043348{col 26}{space 2} .0049291{col 37}{space 1}   -0.88{col 46}{space 3}0.380{col 54}{space 4} -.014059{col 67}{space 3} .0053894
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} .8831866{col 26}{space 2} .0141608{col 37}{space 1}   62.37{col 46}{space 3}0.000{col 54}{space 4} .8552502{col 67}{space 3} .9111231
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

added scalar:
              e(meanb) =  {res}.907

{txt}added scalar:
              e(meane) =  {res}.925

{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}     7,288
{txt}{col 49}F({res}  15{txt},{res}    186{txt}){col 67}= {res}      3.90
{txt}{col 49}Prob > F{col 67}= {res}    0.0000
{txt}{col 49}R-squared{col 67}= {res}    0.0225
{txt}{col 49}Adj R-squared{col 67}= {res}    0.0185
{txt}{col 49}Root MSE{col 67}= {res}    0.2102

{txt}{ralign 78:(Std. Err. adjusted for {res:187} clusters in hc_id)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}e_stafflis~g{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2} .0160462{col 26}{space 2} .0070193{col 37}{space 1}    2.29{col 46}{space 3}0.023{col 54}{space 4} .0021984{col 67}{space 3} .0298939
{txt}b_stafflis~g {c |}{col 14}{res}{space 2} .0696681{col 26}{space 2} .0137596{col 37}{space 1}    5.06{col 46}{space 3}0.000{col 54}{space 4} .0425232{col 67}{space 3}  .096813
{txt}b_staffl~g_d {c |}{col 14}{res}{space 2}-.0082407{col 26}{space 2} .0067738{col 37}{space 1}   -1.22{col 46}{space 3}0.225{col 54}{space 4} -.021604{col 67}{space 3} .0051227
{txt}{space 1}c_tfull_hc2 {c |}{col 14}{res}{space 2} .0265587{col 26}{space 2} .0126848{col 37}{space 1}    2.09{col 46}{space 3}0.038{col 54}{space 4}  .001534{col 67}{space 3} .0515834
{txt}c_tfull_b_~l {c |}{col 14}{res}{space 2} .0194733{col 26}{space 2} .0152809{col 37}{space 1}    1.27{col 46}{space 3}0.204{col 54}{space 4}-.0106728{col 67}{space 3} .0496194
{txt}c_tfull_b_~s {c |}{col 14}{res}{space 2} .0094614{col 26}{space 2} .0161793{col 37}{space 1}    0.58{col 46}{space 3}0.559{col 54}{space 4}-.0224571{col 67}{space 3} .0413799
{txt}c_tfull_b_~d {c |}{col 14}{res}{space 2}-.0031527{col 26}{space 2} .0150534{col 37}{space 1}   -0.21{col 46}{space 3}0.834{col 54}{space 4}  -.03285{col 67}{space 3} .0265446
{txt}c_tfull_ed~r {c |}{col 14}{res}{space 2} .0002808{col 26}{space 2} .0010054{col 37}{space 1}    0.28{col 46}{space 3}0.780{col 54}{space 4}-.0017027{col 67}{space 3} .0022643
{txt}c_tfull_b_~x {c |}{col 14}{res}{space 2} .0056828{col 26}{space 2} .0032545{col 37}{space 1}    1.75{col 46}{space 3}0.082{col 54}{space 4}-.0007376{col 67}{space 3} .0121032
{txt}c_trea~l_hc2 {c |}{col 14}{res}{space 2}-.0431749{col 26}{space 2} .0179726{col 37}{space 1}   -2.40{col 46}{space 3}0.017{col 54}{space 4}-.0786313{col 67}{space 3}-.0077185
{txt}c_treatful.. {c |}{col 14}{res}{space 2}-.0435548{col 26}{space 2} .0191444{col 37}{space 1}   -2.28{col 46}{space 3}0.024{col 54}{space 4}-.0813229{col 67}{space 3}-.0057868
{txt}c_treatful.. {c |}{col 14}{res}{space 2} -.018552{col 26}{space 2} .0184101{col 37}{space 1}   -1.01{col 46}{space 3}0.315{col 54}{space 4}-.0548715{col 67}{space 3} .0177675
{txt}c_treatful.. {c |}{col 14}{res}{space 2}-.0193821{col 26}{space 2} .0162384{col 37}{space 1}   -1.19{col 46}{space 3}0.234{col 54}{space 4}-.0514171{col 67}{space 3}  .012653
{txt}c_treatful.. {c |}{col 14}{res}{space 2}  .001414{col 26}{space 2}  .001298{col 37}{space 1}    1.09{col 46}{space 3}0.277{col 54}{space 4}-.0011467{col 67}{space 3} .0039747
{txt}c_treatful.. {c |}{col 14}{res}{space 2}-.0104833{col 26}{space 2} .0047404{col 37}{space 1}   -2.21{col 46}{space 3}0.028{col 54}{space 4}-.0198352{col 67}{space 3}-.0011315
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} .8694073{col 26}{space 2} .0144133{col 37}{space 1}   60.32{col 46}{space 3}0.000{col 54}{space 4} .8409728{col 67}{space 3} .8978418
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

added scalar:
              e(meanb) =  {res}.905

{txt}added scalar:
              e(meane) =  {res}.929

{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}     7,288
{txt}{col 49}F({res}  15{txt},{res}    186{txt}){col 67}= {res}      3.14
{txt}{col 49}Prob > F{col 67}= {res}    0.0001
{txt}{col 49}R-squared{col 67}= {res}    0.0189
{txt}{col 49}Adj R-squared{col 67}= {res}    0.0149
{txt}{col 49}Root MSE{col 67}= {res}    0.2754

{txt}{ralign 78:(Std. Err. adjusted for {res:187} clusters in hc_id)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}e_freeexpr~s{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2}   .01138{col 26}{space 2} .0111849{col 37}{space 1}    1.02{col 46}{space 3}0.310{col 54}{space 4}-.0106856{col 67}{space 3} .0334456
{txt}b_freeexpr~s {c |}{col 14}{res}{space 2} .0532658{col 26}{space 2} .0140167{col 37}{space 1}    3.80{col 46}{space 3}0.000{col 54}{space 4} .0256136{col 67}{space 3}  .080918
{txt}b_freeex~s_d {c |}{col 14}{res}{space 2}-.0200149{col 26}{space 2} .0087234{col 37}{space 1}   -2.29{col 46}{space 3}0.023{col 54}{space 4}-.0372244{col 67}{space 3}-.0028054
{txt}{space 1}c_tfull_hc2 {c |}{col 14}{res}{space 2} .0168391{col 26}{space 2} .0157311{col 37}{space 1}    1.07{col 46}{space 3}0.286{col 54}{space 4}-.0141952{col 67}{space 3} .0478734
{txt}c_tfull_b_~l {c |}{col 14}{res}{space 2} .0368509{col 26}{space 2} .0233166{col 37}{space 1}    1.58{col 46}{space 3}0.116{col 54}{space 4}-.0091481{col 67}{space 3} .0828498
{txt}c_tfull_b_~s {c |}{col 14}{res}{space 2} .0261021{col 26}{space 2} .0313612{col 37}{space 1}    0.83{col 46}{space 3}0.406{col 54}{space 4}-.0357673{col 67}{space 3} .0879715
{txt}c_tfull_b_~d {c |}{col 14}{res}{space 2}-.0263283{col 26}{space 2} .0200495{col 37}{space 1}   -1.31{col 46}{space 3}0.191{col 54}{space 4}-.0658819{col 67}{space 3} .0132252
{txt}c_tfull_ed~r {c |}{col 14}{res}{space 2} .0002282{col 26}{space 2} .0011586{col 37}{space 1}    0.20{col 46}{space 3}0.844{col 54}{space 4}-.0020574{col 67}{space 3} .0025138
{txt}c_tfull_b_~x {c |}{col 14}{res}{space 2} .0053151{col 26}{space 2} .0048912{col 37}{space 1}    1.09{col 46}{space 3}0.279{col 54}{space 4}-.0043342{col 67}{space 3} .0149644
{txt}c_trea~l_hc2 {c |}{col 14}{res}{space 2}-.0524393{col 26}{space 2} .0236341{col 37}{space 1}   -2.22{col 46}{space 3}0.028{col 54}{space 4}-.0990647{col 67}{space 3}-.0058139
{txt}c_treatful.. {c |}{col 14}{res}{space 2}-.0773846{col 26}{space 2} .0301215{col 37}{space 1}   -2.57{col 46}{space 3}0.011{col 54}{space 4}-.1368083{col 67}{space 3}-.0179609
{txt}c_treatful.. {c |}{col 14}{res}{space 2}-.0361209{col 26}{space 2} .0392821{col 37}{space 1}   -0.92{col 46}{space 3}0.359{col 54}{space 4}-.1136166{col 67}{space 3} .0413749
{txt}c_treatful.. {c |}{col 14}{res}{space 2}  .006411{col 26}{space 2} .0229578{col 37}{space 1}    0.28{col 46}{space 3}0.780{col 54}{space 4}-.0388801{col 67}{space 3} .0517021
{txt}c_treatful.. {c |}{col 14}{res}{space 2} .0030087{col 26}{space 2} .0015662{col 37}{space 1}    1.92{col 46}{space 3}0.056{col 54}{space 4}-.0000812{col 67}{space 3} .0060986
{txt}c_treatful.. {c |}{col 14}{res}{space 2}-.0126714{col 26}{space 2}  .007291{col 37}{space 1}   -1.74{col 46}{space 3}0.084{col 54}{space 4} -.027055{col 67}{space 3} .0017123
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} .8398408{col 26}{space 2} .0142859{col 37}{space 1}   58.79{col 46}{space 3}0.000{col 54}{space 4} .8116575{col 67}{space 3} .8680241
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

added scalar:
              e(meanb) =  {res}.833

{txt}added scalar:
              e(meane) =  {res}.879

{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}     7,288
{txt}{col 49}F({res}  15{txt},{res}    186{txt}){col 67}= {res}      5.00
{txt}{col 49}Prob > F{col 67}= {res}    0.0000
{txt}{col 49}R-squared{col 67}= {res}    0.0532
{txt}{col 49}Adj R-squared{col 67}= {res}    0.0492
{txt}{col 49}Root MSE{col 67}= {res}    0.4450

{txt}{ralign 78:(Std. Err. adjusted for {res:187} clusters in hc_id)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}e_yearb_av~l{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2} .0353569{col 26}{space 2} .0181632{col 37}{space 1}    1.95{col 46}{space 3}0.053{col 54}{space 4}-.0004754{col 67}{space 3} .0711892
{txt}b_yearb_av~l {c |}{col 14}{res}{space 2}  .055747{col 26}{space 2} .0132839{col 37}{space 1}    4.20{col 46}{space 3}0.000{col 54}{space 4} .0295405{col 67}{space 3} .0819536
{txt}b_yearb_~l_d {c |}{col 14}{res}{space 2} .0218101{col 26}{space 2} .0139728{col 37}{space 1}    1.56{col 46}{space 3}0.120{col 54}{space 4}-.0057555{col 67}{space 3} .0493757
{txt}{space 1}c_tfull_hc2 {c |}{col 14}{res}{space 2}-.0632295{col 26}{space 2}  .042093{col 37}{space 1}   -1.50{col 46}{space 3}0.135{col 54}{space 4}-.1462706{col 67}{space 3} .0198117
{txt}c_tfull_b_~l {c |}{col 14}{res}{space 2} .0304809{col 26}{space 2} .0550199{col 37}{space 1}    0.55{col 46}{space 3}0.580{col 54}{space 4}-.0780624{col 67}{space 3} .1390243
{txt}c_tfull_b_~s {c |}{col 14}{res}{space 2}-.0424489{col 26}{space 2} .0561121{col 37}{space 1}   -0.76{col 46}{space 3}0.450{col 54}{space 4}-.1531469{col 67}{space 3} .0682491
{txt}c_tfull_b_~d {c |}{col 14}{res}{space 2}-.0135074{col 26}{space 2} .0296992{col 37}{space 1}   -0.45{col 46}{space 3}0.650{col 54}{space 4}-.0720981{col 67}{space 3} .0450833
{txt}c_tfull_ed~r {c |}{col 14}{res}{space 2} .0028223{col 26}{space 2} .0020237{col 37}{space 1}    1.39{col 46}{space 3}0.165{col 54}{space 4}  -.00117{col 67}{space 3} .0068146
{txt}c_tfull_b_~x {c |}{col 14}{res}{space 2} .0086762{col 26}{space 2} .0092346{col 37}{space 1}    0.94{col 46}{space 3}0.349{col 54}{space 4}-.0095418{col 67}{space 3} .0268943
{txt}c_trea~l_hc2 {c |}{col 14}{res}{space 2}-.0544249{col 26}{space 2} .0462119{col 37}{space 1}   -1.18{col 46}{space 3}0.240{col 54}{space 4}-.1455917{col 67}{space 3} .0367419
{txt}c_treatful.. {c |}{col 14}{res}{space 2}-.0395554{col 26}{space 2} .0556722{col 37}{space 1}   -0.71{col 46}{space 3}0.478{col 54}{space 4}-.1493855{col 67}{space 3} .0702746
{txt}c_treatful.. {c |}{col 14}{res}{space 2} .0540861{col 26}{space 2} .0601241{col 37}{space 1}    0.90{col 46}{space 3}0.370{col 54}{space 4}-.0645268{col 67}{space 3}  .172699
{txt}c_treatful.. {c |}{col 14}{res}{space 2} .0497248{col 26}{space 2} .0389515{col 37}{space 1}    1.28{col 46}{space 3}0.203{col 54}{space 4}-.0271189{col 67}{space 3} .1265684
{txt}c_treatful.. {c |}{col 14}{res}{space 2}-.0030996{col 26}{space 2} .0026693{col 37}{space 1}   -1.16{col 46}{space 3}0.247{col 54}{space 4}-.0083656{col 67}{space 3} .0021664
{txt}c_treatful.. {c |}{col 14}{res}{space 2} -.016941{col 26}{space 2} .0130818{col 37}{space 1}   -1.30{col 46}{space 3}0.197{col 54}{space 4}-.0427489{col 67}{space 3} .0088668
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} .3939753{col 26}{space 2} .0153005{col 37}{space 1}   25.75{col 46}{space 3}0.000{col 54}{space 4} .3637904{col 67}{space 3} .4241602
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

added scalar:
              e(meanb) =  {res}.482

{txt}added scalar:
              e(meane) =  {res}.432
{txt}
{com}.                 
.         local y = 8
{txt}
{com}.         foreach x in `patsat_nobaseline_ns' {c -(}
{txt}  2{com}.                 areg e_`x' `var' `e_controls_tfull' ``var'_int_e_controls', robust cl(hc_id) a(district)
{txt}  3{com}.                 
.                 estimates store m`y'
{txt}  4{com}.                 
.                 qui sum e_`x' if `var' == 0
{txt}  5{com}.                 local meane_`x' r(mean)
{txt}  6{com}.                 local meane_`x' = string(`meane_`x'',"%9.3fc")
{txt}  7{com}.                 
.                 estadd scalar meane = `meane_`x''
{txt}  8{com}.                 
.                 {c )-}

{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}     7,288
{txt}{col 49}F({res}  13{txt},{res}    186{txt}){col 67}= {res}      3.80
{txt}{col 49}Prob > F{col 67}= {res}    0.0000
{txt}{col 49}R-squared{col 67}= {res}    0.0656
{txt}{col 49}Adj R-squared{col 67}= {res}    0.0620
{txt}{col 49}Root MSE{col 67}= {res}    0.4804

{txt}{ralign 78:(Std. Err. adjusted for {res:187} clusters in hc_id)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}e_qualityh~d{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2}  .051908{col 26}{space 2} .0171216{col 37}{space 1}    3.03{col 46}{space 3}0.003{col 54}{space 4} .0181304{col 67}{space 3} .0856855
{txt}{space 1}c_tfull_hc2 {c |}{col 14}{res}{space 2}-.0912506{col 26}{space 2} .0299264{col 37}{space 1}   -3.05{col 46}{space 3}0.003{col 54}{space 4}-.1502894{col 67}{space 3}-.0322118
{txt}c_tfull_b_~l {c |}{col 14}{res}{space 2} .0492949{col 26}{space 2} .0393945{col 37}{space 1}    1.25{col 46}{space 3}0.212{col 54}{space 4}-.0284225{col 67}{space 3} .1270123
{txt}c_tfull_b_~s {c |}{col 14}{res}{space 2}-.0379581{col 26}{space 2} .0439654{col 37}{space 1}   -0.86{col 46}{space 3}0.389{col 54}{space 4} -.124693{col 67}{space 3} .0487767
{txt}c_tfull_b_~d {c |}{col 14}{res}{space 2} .0257459{col 26}{space 2} .0333378{col 37}{space 1}    0.77{col 46}{space 3}0.441{col 54}{space 4} -.040023{col 67}{space 3} .0915148
{txt}c_tfull_ed~r {c |}{col 14}{res}{space 2}-.0011633{col 26}{space 2} .0019595{col 37}{space 1}   -0.59{col 46}{space 3}0.553{col 54}{space 4}-.0050289{col 67}{space 3} .0027024
{txt}c_tfull_b_~x {c |}{col 14}{res}{space 2} .0072481{col 26}{space 2} .0093139{col 37}{space 1}    0.78{col 46}{space 3}0.437{col 54}{space 4}-.0111263{col 67}{space 3} .0256226
{txt}c_trea~l_hc2 {c |}{col 14}{res}{space 2}-.0053369{col 26}{space 2} .0423589{col 37}{space 1}   -0.13{col 46}{space 3}0.900{col 54}{space 4}-.0889026{col 67}{space 3} .0782288
{txt}c_treatful.. {c |}{col 14}{res}{space 2}-.0303915{col 26}{space 2}  .049153{col 37}{space 1}   -0.62{col 46}{space 3}0.537{col 54}{space 4}-.1273605{col 67}{space 3} .0665774
{txt}c_treatful.. {c |}{col 14}{res}{space 2}-.0053509{col 26}{space 2} .0541156{col 37}{space 1}   -0.10{col 46}{space 3}0.921{col 54}{space 4}-.1121102{col 67}{space 3} .1014084
{txt}c_treatful.. {c |}{col 14}{res}{space 2}-.0170516{col 26}{space 2} .0481198{col 37}{space 1}   -0.35{col 46}{space 3}0.723{col 54}{space 4}-.1119823{col 67}{space 3} .0778791
{txt}c_treatful.. {c |}{col 14}{res}{space 2}-.0018261{col 26}{space 2} .0028699{col 37}{space 1}   -0.64{col 46}{space 3}0.525{col 54}{space 4}-.0074879{col 67}{space 3} .0038357
{txt}c_treatful.. {c |}{col 14}{res}{space 2} -.003292{col 26}{space 2} .0142473{col 37}{space 1}   -0.23{col 46}{space 3}0.818{col 54}{space 4}-.0313991{col 67}{space 3} .0248151
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} .4230003{col 26}{space 2} .0114223{col 37}{space 1}   37.03{col 46}{space 3}0.000{col 54}{space 4} .4004664{col 67}{space 3} .4455341
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

added scalar:
              e(meane) =  {res}.427
{txt}
{com}.         
.         # delimit;
{txt}delimiter now ;
{com}.                 esttab m1 m8 m2 m3 m4 m5 m6 m7
>         using "${c -(}tables{c )-}/TableI11.tex", b(%5.3f) se(%5.3f)
>                 title(Patient satisfaction index non-standardized -- Subcomponents)
>                 keep(`var' _cons)
>                 varlabels (`var' "Full treatment" _cons "Constant")
>                 starlevels(* .10 ** .05 *** .01)                
>                 mtitles("\textbf{c -(}\begin{c -(}tabular{c )-}[c]{c -(}@{c -(}{c )-}c@{c -(}{c )-}{c )-}Patient\\satisfaction\\index\end{c -(}tabular{c )-}{c )-}"
>                                 "\begin{c -(}tabular{c )-}[c]{c -(}@{c -(}{c )-}c@{c -(}{c )-}{c )-}Satisfied by\\HC quality\end{c -(}tabular{c )-}"
>                                 "\begin{c -(}tabular{c )-}[c]{c -(}@{c -(}{c )-}c@{c -(}{c )-}{c )-}Satisfied\\with quality\\of care\end{c -(}tabular{c )-}"
>                                 "\begin{c -(}tabular{c )-}[c]{c -(}@{c -(}{c )-}c@{c -(}{c )-}{c )-}Polite\\staff\end{c -(}tabular{c )-}"
>                                 "\begin{c -(}tabular{c )-}[c]{c -(}@{c -(}{c )-}c@{c -(}{c )-}{c )-}Staff\\interested\\in health\end{c -(}tabular{c )-}"
>                                 "\begin{c -(}tabular{c )-}[c]{c -(}@{c -(}{c )-}c@{c -(}{c )-}{c )-}Staff\\listening\end{c -(}tabular{c )-}"
>                                 "\begin{c -(}tabular{c )-}[c]{c -(}@{c -(}{c )-}c@{c -(}{c )-}{c )-}Free to\\express\\clearly\end{c -(}tabular{c )-}"
>                                 "\begin{c -(}tabular{c )-}[c]{c -(}@{c -(}{c )-}c@{c -(}{c )-}{c )-} Availability\\of staff\\improving\end{c -(}tabular{c )-}")
>                 stats(N r2 meane meanb, labels("N" "R$^{c -(}2{c )-}$" "Mean control group endline" "Mean control group baseline") fmt(%9.0fc %9.3fc)) label booktabs nonotes replace
>         
>         ;
{res}{txt}(output written to {browse  `"/Users/fredericcochinard/Dropbox/ACT_Health_JOP_replication_file/3.Tables and Figures/Tables/TableI11.tex"'})

{com}.                 # delimit cr
{txt}delimiter now cr
{com}.         
.         ********************************
.         * Table/Figure Health outcomes *
.         ********************************
.         
.         * We load the proper dataset
.         
.         use "${c -(}usedata{c )-}/healthoutcome_endline_ind.dta", clear
{txt}
{com}.         
.         * Regressions at endline
.         
.         * We regress the main outcomes
. 
.         areg  e_healthoutcome_z treatfull b_healthoutcome_z b_healthoutcome_z_d `controls_tfull' `treatfull_controls', robust cl(hc_id) a(district) 

{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}     4,930
{txt}{col 49}F({res}  15{txt},{res}    186{txt}){col 67}= {res}     49.15
{txt}{col 49}Prob > F{col 67}= {res}    0.0000
{txt}{col 49}R-squared{col 67}= {res}    0.1122
{txt}{col 49}Adj R-squared{col 67}= {res}    0.1067
{txt}{col 49}Root MSE{col 67}= {res}    0.8984

{txt}{ralign 78:(Std. Err. adjusted for {res:187} clusters in hc_id)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}e_healthou~z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2}-.0033963{col 26}{space 2} .0270478{col 37}{space 1}   -0.13{col 46}{space 3}0.900{col 54}{space 4}-.0567562{col 67}{space 3} .0499636
{txt}b_healthou~z {c |}{col 14}{res}{space 2} .1302072{col 26}{space 2} .0155592{col 37}{space 1}    8.37{col 46}{space 3}0.000{col 54}{space 4} .0995121{col 67}{space 3} .1609023
{txt}b_healthou~d {c |}{col 14}{res}{space 2} .6770636{col 26}{space 2}  .026726{col 37}{space 1}   25.33{col 46}{space 3}0.000{col 54}{space 4} .6243386{col 67}{space 3} .7297886
{txt}{space 1}c_tfull_hc2 {c |}{col 14}{res}{space 2} .0283452{col 26}{space 2} .0533759{col 37}{space 1}    0.53{col 46}{space 3}0.596{col 54}{space 4}-.0769548{col 67}{space 3} .1336452
{txt}c_tfull_b_~l {c |}{col 14}{res}{space 2}-.0147505{col 26}{space 2} .0657836{col 37}{space 1}   -0.22{col 46}{space 3}0.823{col 54}{space 4}-.1445285{col 67}{space 3} .1150274
{txt}c_tfull_b_~s {c |}{col 14}{res}{space 2}-.0122572{col 26}{space 2} .0696056{col 37}{space 1}   -0.18{col 46}{space 3}0.860{col 54}{space 4}-.1495751{col 67}{space 3} .1250607
{txt}c_tfull_b_~d {c |}{col 14}{res}{space 2}  .074849{col 26}{space 2} .0875182{col 37}{space 1}    0.86{col 46}{space 3}0.394{col 54}{space 4}-.0978068{col 67}{space 3} .2475048
{txt}c_tfull_ed~r {c |}{col 14}{res}{space 2} .0098675{col 26}{space 2} .0054247{col 37}{space 1}    1.82{col 46}{space 3}0.071{col 54}{space 4}-.0008343{col 67}{space 3} .0205693
{txt}c_tfull_b_~x {c |}{col 14}{res}{space 2}  .072321{col 26}{space 2}  .024921{col 37}{space 1}    2.90{col 46}{space 3}0.004{col 54}{space 4} .0231568{col 67}{space 3} .1214852
{txt}c_trea~l_hc2 {c |}{col 14}{res}{space 2} -.076098{col 26}{space 2} .0676823{col 37}{space 1}   -1.12{col 46}{space 3}0.262{col 54}{space 4}-.2096218{col 67}{space 3} .0574257
{txt}c_treatful.. {c |}{col 14}{res}{space 2}-.0559418{col 26}{space 2} .0741612{col 37}{space 1}   -0.75{col 46}{space 3}0.452{col 54}{space 4} -.202247{col 67}{space 3} .0903635
{txt}c_treatful.. {c |}{col 14}{res}{space 2}-.0559657{col 26}{space 2}  .075686{col 37}{space 1}   -0.74{col 46}{space 3}0.461{col 54}{space 4} -.205279{col 67}{space 3} .0933477
{txt}c_treatful.. {c |}{col 14}{res}{space 2}-.0862179{col 26}{space 2}   .10784{col 37}{space 1}   -0.80{col 46}{space 3}0.425{col 54}{space 4}-.2989646{col 67}{space 3} .1265288
{txt}c_treatful.. {c |}{col 14}{res}{space 2}-.0003268{col 26}{space 2} .0067286{col 37}{space 1}   -0.05{col 46}{space 3}0.961{col 54}{space 4} -.013601{col 67}{space 3} .0129475
{txt}c_treatful.. {c |}{col 14}{res}{space 2}-.0588372{col 26}{space 2} .0295923{col 37}{space 1}   -1.99{col 46}{space 3}0.048{col 54}{space 4}-.1172169{col 67}{space 3}-.0004574
{txt}{space 7}_cons {c |}{col 14}{res}{space 2}-.5103008{col 26}{space 2} .0220039{col 37}{space 1}  -23.19{col 46}{space 3}0.000{col 54}{space 4}-.5537102{col 67}{space 3}-.4668915
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{com}.         
.         estimates store m1
{txt}
{com}.         
.         * We take care of the different cohort
.         
.         local z = 1
{txt}
{com}.                 foreach y in _weight18_z  _muac18_z {c -(}
{txt}  2{com}.                         local z = `z' + 1
{txt}  3{com}.                         areg  e`y' treatfull b`y' b`y'_d `controls_tfullho1' `treatfull_ho1_controls', robust cl(hc_id) a(district) 
{txt}  4{com}.                         estimates store m`z'
{txt}  5{com}.                         
.                         local p_`z' = (2 * ttail(e(df_r), abs(_b[treatfull]/_se[treatfull])))
{txt}  6{com}.                         
.                 {c )-}
{txt}note: b_weight18_z_d omitted because of collinearity
{res}
{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}     2,140
{txt}{col 49}F({res}  14{txt},{res}    186{txt}){col 67}= {res}      1.54
{txt}{col 49}Prob > F{col 67}= {res}    0.1007
{txt}{col 49}R-squared{col 67}= {res}    0.0177
{txt}{col 49}Adj R-squared{col 67}= {res}    0.0042
{txt}{col 49}Root MSE{col 67}= {res}    0.9801

{txt}{ralign 78:(Std. Err. adjusted for {res:187} clusters in hc_id)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}e_weight18_z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2}-.0004332{col 26}{space 2} .0475598{col 37}{space 1}   -0.01{col 46}{space 3}0.993{col 54}{space 4}-.0942592{col 67}{space 3} .0933928
{txt}b_weight18_z {c |}{col 14}{res}{space 2} -.021447{col 26}{space 2} .0320435{col 37}{space 1}   -0.67{col 46}{space 3}0.504{col 54}{space 4}-.0846624{col 67}{space 3} .0417683
{txt}b_weig~8_z_d {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
c_tfullho1~2 {c |}{col 14}{res}{space 2} .0845456{col 26}{space 2} .0941963{col 37}{space 1}    0.90{col 46}{space 3}0.371{col 54}{space 4}-.1012848{col 67}{space 3} .2703761
{txt}c_tfullho1~l {c |}{col 14}{res}{space 2}-.0535896{col 26}{space 2} .1074766{col 37}{space 1}   -0.50{col 46}{space 3}0.619{col 54}{space 4}-.2656194{col 67}{space 3} .1584401
{txt}c_tfullho1~s {c |}{col 14}{res}{space 2} .3376947{col 26}{space 2} .1223502{col 37}{space 1}    2.76{col 46}{space 3}0.006{col 54}{space 4} .0963223{col 67}{space 3} .5790672
{txt}c_tfullho1~d {c |}{col 14}{res}{space 2} .0443742{col 26}{space 2} .0954459{col 37}{space 1}    0.46{col 46}{space 3}0.643{col 54}{space 4}-.1439215{col 67}{space 3} .2326699
{txt}c_tfullho1~r {c |}{col 14}{res}{space 2} .0023665{col 26}{space 2} .0083056{col 37}{space 1}    0.28{col 46}{space 3}0.776{col 54}{space 4}-.0140188{col 67}{space 3} .0187518
{txt}c_tfullho1~x {c |}{col 14}{res}{space 2} .0383501{col 26}{space 2} .0385818{col 37}{space 1}    0.99{col 46}{space 3}0.322{col 54}{space 4} -.037764{col 67}{space 3} .1144643
{txt}c_treatful.. {c |}{col 14}{res}{space 2}-.1406674{col 26}{space 2} .1126733{col 37}{space 1}   -1.25{col 46}{space 3}0.213{col 54}{space 4}-.3629492{col 67}{space 3} .0816144
{txt}c_treatful.. {c |}{col 14}{res}{space 2}-.0082467{col 26}{space 2}   .11923{col 37}{space 1}   -0.07{col 46}{space 3}0.945{col 54}{space 4}-.2434636{col 67}{space 3} .2269702
{txt}c_treatful.. {c |}{col 14}{res}{space 2} -.479917{col 26}{space 2} .1425816{col 37}{space 1}   -3.37{col 46}{space 3}0.001{col 54}{space 4}-.7612021{col 67}{space 3}-.1986319
{txt}c_treatful.. {c |}{col 14}{res}{space 2}-.1199714{col 26}{space 2} .1485436{col 37}{space 1}   -0.81{col 46}{space 3}0.420{col 54}{space 4}-.4130182{col 67}{space 3} .1730754
{txt}c_treatful.. {c |}{col 14}{res}{space 2} .0131672{col 26}{space 2} .0105821{col 37}{space 1}    1.24{col 46}{space 3}0.215{col 54}{space 4}-.0077092{col 67}{space 3} .0340436
{txt}c_treatful.. {c |}{col 14}{res}{space 2}-.0531909{col 26}{space 2}   .04775{col 37}{space 1}   -1.11{col 46}{space 3}0.267{col 54}{space 4}-.1473921{col 67}{space 3} .0410103
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} .0064459{col 26}{space 2} .0366417{col 37}{space 1}    0.18{col 46}{space 3}0.861{col 54}{space 4}-.0658409{col 67}{space 3} .0787327
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)
note: b_muac18_z_d omitted because of collinearity
{res}
{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}     2,140
{txt}{col 49}F({res}  14{txt},{res}    186{txt}){col 67}= {res}      1.82
{txt}{col 49}Prob > F{col 67}= {res}    0.0383
{txt}{col 49}R-squared{col 67}= {res}    0.0179
{txt}{col 49}Adj R-squared{col 67}= {res}    0.0044
{txt}{col 49}Root MSE{col 67}= {res}    0.9721

{txt}{ralign 78:(Std. Err. adjusted for {res:187} clusters in hc_id)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}  e_muac18_z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2}-.0147468{col 26}{space 2} .0470297{col 37}{space 1}   -0.31{col 46}{space 3}0.754{col 54}{space 4} -.107527{col 67}{space 3} .0780334
{txt}{space 2}b_muac18_z {c |}{col 14}{res}{space 2}-.0229268{col 26}{space 2} .0315557{col 37}{space 1}   -0.73{col 46}{space 3}0.468{col 54}{space 4}-.0851798{col 67}{space 3} .0393262
{txt}b_muac18_z_d {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
c_tfullho1~2 {c |}{col 14}{res}{space 2} .0959292{col 26}{space 2} .0983855{col 37}{space 1}    0.98{col 46}{space 3}0.331{col 54}{space 4}-.0981657{col 67}{space 3} .2900241
{txt}c_tfullho1~l {c |}{col 14}{res}{space 2}-.0355853{col 26}{space 2} .1093877{col 37}{space 1}   -0.33{col 46}{space 3}0.745{col 54}{space 4}-.2513852{col 67}{space 3} .1802147
{txt}c_tfullho1~s {c |}{col 14}{res}{space 2} .3467742{col 26}{space 2} .1199482{col 37}{space 1}    2.89{col 46}{space 3}0.004{col 54}{space 4} .1101403{col 67}{space 3} .5834081
{txt}c_tfullho1~d {c |}{col 14}{res}{space 2} .0652734{col 26}{space 2} .0974346{col 37}{space 1}    0.67{col 46}{space 3}0.504{col 54}{space 4}-.1269456{col 67}{space 3} .2574924
{txt}c_tfullho1~r {c |}{col 14}{res}{space 2}-.0015673{col 26}{space 2}  .008401{col 37}{space 1}   -0.19{col 46}{space 3}0.852{col 54}{space 4}-.0181407{col 67}{space 3} .0150062
{txt}c_tfullho1~x {c |}{col 14}{res}{space 2}  .037329{col 26}{space 2}  .039351{col 37}{space 1}    0.95{col 46}{space 3}0.344{col 54}{space 4}-.0403027{col 67}{space 3} .1149607
{txt}c_treatful.. {c |}{col 14}{res}{space 2}-.1525475{col 26}{space 2} .1128862{col 37}{space 1}   -1.35{col 46}{space 3}0.178{col 54}{space 4}-.3752494{col 67}{space 3} .0701543
{txt}c_treatful.. {c |}{col 14}{res}{space 2} -.028337{col 26}{space 2} .1193044{col 37}{space 1}   -0.24{col 46}{space 3}0.813{col 54}{space 4}-.2637006{col 67}{space 3} .2070267
{txt}c_treatful.. {c |}{col 14}{res}{space 2}-.5029577{col 26}{space 2} .1379038{col 37}{space 1}   -3.65{col 46}{space 3}0.000{col 54}{space 4}-.7750143{col 67}{space 3} -.230901
{txt}c_treatful.. {c |}{col 14}{res}{space 2}-.1430633{col 26}{space 2} .1490289{col 37}{space 1}   -0.96{col 46}{space 3}0.338{col 54}{space 4}-.4370676{col 67}{space 3} .1509409
{txt}c_treatful.. {c |}{col 14}{res}{space 2} .0166209{col 26}{space 2} .0104297{col 37}{space 1}    1.59{col 46}{space 3}0.113{col 54}{space 4}-.0039547{col 67}{space 3} .0371966
{txt}c_treatful.. {c |}{col 14}{res}{space 2}-.0597079{col 26}{space 2} .0486158{col 37}{space 1}   -1.23{col 46}{space 3}0.221{col 54}{space 4}-.1556171{col 67}{space 3} .0362013
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} .0069018{col 26}{space 2} .0368234{col 37}{space 1}    0.19{col 46}{space 3}0.852{col 54}{space 4}-.0657435{col 67}{space 3} .0795471
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{com}.                 
.         local z = 3
{txt}
{com}.                 foreach y in _weight36_z  _muac36_z {c -(}
{txt}  2{com}.                         local z = `z' + 1
{txt}  3{com}.                         areg  e`y' treatfull b`y' b`y'_d `controls_tfullho2' `treatfull_ho2_controls', robust cl(hc_id) a(district) 
{txt}  4{com}.                         estimates store m`z'
{txt}  5{com}.                         
.                         local p_`z' = (2 * ttail(e(df_r), abs(_b[treatfull]/_se[treatfull])))
{txt}  6{com}.                         
.                 {c )-}

{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}     2,790
{txt}{col 49}F({res}  15{txt},{res}    186{txt}){col 67}= {res}     57.17
{txt}{col 49}Prob > F{col 67}= {res}    0.0000
{txt}{col 49}R-squared{col 67}= {res}    0.2252
{txt}{col 49}Adj R-squared{col 67}= {res}    0.2168
{txt}{col 49}Root MSE{col 67}= {res}    0.8587

{txt}{ralign 78:(Std. Err. adjusted for {res:187} clusters in hc_id)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}e_weight36_z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2} .0035762{col 26}{space 2} .0314917{col 37}{space 1}    0.11{col 46}{space 3}0.910{col 54}{space 4}-.0585506{col 67}{space 3}  .065703
{txt}b_weight36_z {c |}{col 14}{res}{space 2} .2437328{col 26}{space 2} .0157013{col 37}{space 1}   15.52{col 46}{space 3}0.000{col 54}{space 4} .2127572{col 67}{space 3} .2747084
{txt}b_weig~6_z_d {c |}{col 14}{res}{space 2} .8233598{col 26}{space 2} .0334039{col 37}{space 1}   24.65{col 46}{space 3}0.000{col 54}{space 4} .7574607{col 67}{space 3}  .889259
{txt}c_tfullho2~2 {c |}{col 14}{res}{space 2} .0141198{col 26}{space 2} .0572792{col 37}{space 1}    0.25{col 46}{space 3}0.806{col 54}{space 4}-.0988806{col 67}{space 3} .1271201
{txt}c_tfullho2~l {c |}{col 14}{res}{space 2} .0415209{col 26}{space 2} .0661783{col 37}{space 1}    0.63{col 46}{space 3}0.531{col 54}{space 4}-.0890356{col 67}{space 3} .1720775
{txt}c_tfullho2~s {c |}{col 14}{res}{space 2}-.3116334{col 26}{space 2} .0748955{col 37}{space 1}   -4.16{col 46}{space 3}0.000{col 54}{space 4}-.4593874{col 67}{space 3}-.1638795
{txt}c_tfullho2~d {c |}{col 14}{res}{space 2} .1969855{col 26}{space 2} .1188225{col 37}{space 1}    1.66{col 46}{space 3}0.099{col 54}{space 4}-.0374275{col 67}{space 3} .4313984
{txt}c_tfullho2~r {c |}{col 14}{res}{space 2} .0214186{col 26}{space 2} .0073275{col 37}{space 1}    2.92{col 46}{space 3}0.004{col 54}{space 4} .0069629{col 67}{space 3} .0358744
{txt}c_tfullho2~x {c |}{col 14}{res}{space 2} .0949981{col 26}{space 2} .0253262{col 37}{space 1}    3.75{col 46}{space 3}0.000{col 54}{space 4} .0450345{col 67}{space 3} .1449617
{txt}c_treatful.. {c |}{col 14}{res}{space 2}-.0791706{col 26}{space 2} .0721164{col 37}{space 1}   -1.10{col 46}{space 3}0.274{col 54}{space 4}-.2214419{col 67}{space 3} .0631007
{txt}c_treatful.. {c |}{col 14}{res}{space 2}-.0636102{col 26}{space 2} .0802606{col 37}{space 1}   -0.79{col 46}{space 3}0.429{col 54}{space 4}-.2219484{col 67}{space 3}  .094728
{txt}c_treatful.. {c |}{col 14}{res}{space 2} .3219865{col 26}{space 2} .1028462{col 37}{space 1}    3.13{col 46}{space 3}0.002{col 54}{space 4} .1190916{col 67}{space 3} .5248814
{txt}c_treatful.. {c |}{col 14}{res}{space 2}-.1186792{col 26}{space 2} .1662064{col 37}{space 1}   -0.71{col 46}{space 3}0.476{col 54}{space 4}-.4465712{col 67}{space 3} .2092129
{txt}c_treatful.. {c |}{col 14}{res}{space 2}-.0128049{col 26}{space 2} .0099357{col 37}{space 1}   -1.29{col 46}{space 3}0.199{col 54}{space 4}-.0324061{col 67}{space 3} .0067963
{txt}c_treatful.. {c |}{col 14}{res}{space 2}-.0357847{col 26}{space 2} .0351409{col 37}{space 1}   -1.02{col 46}{space 3}0.310{col 54}{space 4}-.1051106{col 67}{space 3} .0335413
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} -.462924{col 26}{space 2} .0266387{col 37}{space 1}  -17.38{col 46}{space 3}0.000{col 54}{space 4}-.5154769{col 67}{space 3}-.4103712
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}     2,790
{txt}{col 49}F({res}  15{txt},{res}    186{txt}){col 67}= {res}    145.59
{txt}{col 49}Prob > F{col 67}= {res}    0.0000
{txt}{col 49}R-squared{col 67}= {res}    0.3463
{txt}{col 49}Adj R-squared{col 67}= {res}    0.3391
{txt}{col 49}Root MSE{col 67}= {res}    0.8074

{txt}{ralign 78:(Std. Err. adjusted for {res:187} clusters in hc_id)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}  e_muac36_z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2} .0169145{col 26}{space 2} .0276261{col 37}{space 1}    0.61{col 46}{space 3}0.541{col 54}{space 4}-.0375862{col 67}{space 3} .0714152
{txt}{space 2}b_muac36_z {c |}{col 14}{res}{space 2} .2710361{col 26}{space 2} .0097714{col 37}{space 1}   27.74{col 46}{space 3}0.000{col 54}{space 4} .2517591{col 67}{space 3} .2903131
{txt}b_muac36_z_d {c |}{col 14}{res}{space 2} 1.142669{col 26}{space 2} .0304968{col 37}{space 1}   37.47{col 46}{space 3}0.000{col 54}{space 4} 1.082505{col 67}{space 3} 1.202833
{txt}c_tfullho2~2 {c |}{col 14}{res}{space 2}-.0005553{col 26}{space 2}  .048992{col 37}{space 1}   -0.01{col 46}{space 3}0.991{col 54}{space 4}-.0972067{col 67}{space 3}  .096096
{txt}c_tfullho2~l {c |}{col 14}{res}{space 2} .0452704{col 26}{space 2} .0582049{col 37}{space 1}    0.78{col 46}{space 3}0.438{col 54}{space 4}-.0695561{col 67}{space 3}  .160097
{txt}c_tfullho2~s {c |}{col 14}{res}{space 2}-.2671463{col 26}{space 2} .0666676{col 37}{space 1}   -4.01{col 46}{space 3}0.000{col 54}{space 4}-.3986681{col 67}{space 3}-.1356245
{txt}c_tfullho2~d {c |}{col 14}{res}{space 2} .1246216{col 26}{space 2} .1045243{col 37}{space 1}    1.19{col 46}{space 3}0.235{col 54}{space 4} -.081584{col 67}{space 3} .3308271
{txt}c_tfullho2~r {c |}{col 14}{res}{space 2} .0134557{col 26}{space 2}  .006189{col 37}{space 1}    2.17{col 46}{space 3}0.031{col 54}{space 4}  .001246{col 67}{space 3} .0256653
{txt}c_tfullho2~x {c |}{col 14}{res}{space 2} .0598996{col 26}{space 2}  .025202{col 37}{space 1}    2.38{col 46}{space 3}0.018{col 54}{space 4}  .010181{col 67}{space 3} .1096181
{txt}c_treatful.. {c |}{col 14}{res}{space 2} .0022666{col 26}{space 2} .0640508{col 37}{space 1}    0.04{col 46}{space 3}0.972{col 54}{space 4}-.1240927{col 67}{space 3}  .128626
{txt}c_treatful.. {c |}{col 14}{res}{space 2}-.0575783{col 26}{space 2} .0716558{col 37}{space 1}   -0.80{col 46}{space 3}0.423{col 54}{space 4} -.198941{col 67}{space 3} .0837843
{txt}c_treatful.. {c |}{col 14}{res}{space 2} .2331474{col 26}{space 2} .0911361{col 37}{space 1}    2.56{col 46}{space 3}0.011{col 54}{space 4}  .053354{col 67}{space 3} .4129407
{txt}c_treatful.. {c |}{col 14}{res}{space 2}-.0558897{col 26}{space 2} .1483007{col 37}{space 1}   -0.38{col 46}{space 3}0.707{col 54}{space 4}-.3484573{col 67}{space 3} .2366779
{txt}c_treatful.. {c |}{col 14}{res}{space 2}-.0068232{col 26}{space 2} .0085288{col 37}{space 1}   -0.80{col 46}{space 3}0.425{col 54}{space 4}-.0236489{col 67}{space 3} .0100026
{txt}c_treatful.. {c |}{col 14}{res}{space 2}-.0562039{col 26}{space 2} .0335139{col 37}{space 1}   -1.68{col 46}{space 3}0.095{col 54}{space 4}  -.12232{col 67}{space 3} .0099122
{txt}{space 7}_cons {c |}{col 14}{res}{space 2}-.6395645{col 26}{space 2} .0190301{col 37}{space 1}  -33.61{col 46}{space 3}0.000{col 54}{space 4} -.677107{col 67}{space 3}-.6020219
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{com}.                 
.                 
.         * We create the adjusted p-value following the Benjamini-Hochberg methodology 
.         
.         local y = 5
{txt}
{com}.         
.         local ps `p_2'
{txt}
{com}.         forvalues x = 3/`y' {c -(}
{txt}  2{com}.                 local ps `ps' \ `p_`x''
{txt}  3{com}.                 {c )-}
{txt}
{com}. 
.         matrix mat = (`ps')
{txt}
{com}.                 
.         * We need to rank the p-value, transpose it and transfer it to local
.         
.         matsort mat 1 "up"
{txt}
{com}.         
.         mat ps_mat = mat'
{txt}
{com}.         
.         mat list ps_mat
{res}
{txt}ps_mat[1,4]
           r4         r2         r3         r1
c1 {res} .54110982  .75420403  .90970915  .99274188
{reset}
{com}.         
.         local ps_rank
{txt}
{com}.         
.         forvalues z = 1/`y' {c -(}
{txt}  2{com}.                 local x = ps_mat[1,`z']
{txt}  3{com}.                 local ps_rank `ps_rank' `x'
{txt}  4{com}.                 {c )-}
{txt}
{com}.                 
.         di "`ps_rank'"
{res}.5411098161006249 .7542040273980309 .9097091534867554 .9927418785538999 .
{txt}
{com}.         
.         * We count the number of tests (numerator)
.         
.         local num_p = `y' - 1
{txt}
{com}.         
.         * We calculate the BH value
.         
.         local z = 0
{txt}
{com}.         foreach i of local ps_rank {c -(}
{txt}  2{com}.                 local z = `z' + 1 
{txt}  3{com}.                 local adj_p`z' = (`i' * `num_p') / `z'
{txt}  4{com}.                 {c )-}
{txt}
{com}.                 
.         * We compare it according to the rank and eventually replace it
.         
.         forvalues r = 1/`y' {c -(}
{txt}  2{com}.         local d = `y' - 1
{txt}  3{com}.         forvalues z = 1/`d' {c -(}
{txt}  4{com}.                 local v = `z' + 1
{txt}  5{com}.                         if `adj_p`z'' >= `adj_p`v'' {c -(}
{txt}  6{com}.                                 local adj_p`z' `adj_p`v''
{txt}  7{com}.                                 {c )-}
{txt}  8{com}.                         {c )-}
{txt}  9{com}.                         {c )-}
{txt}
{com}.         
.         * We store it in the estimator
.         
.         local z = 0
{txt}
{com}.         foreach i of local ps_rank {c -(}
{txt}  2{com}.                 local z = `z' + 1 
{txt}  3{com}.                 forvalues j = 2/`y' {c -(}
{txt}  4{com}.                         if `i' == `p_`j'' {c -(} 
{txt}  5{com}.                         estimates restore m`j'
{txt}  6{com}.                         estadd scalar adj_p = `adj_p`z''
{txt}  7{com}.                         {c )-}
{txt}  8{com}.                 {c )-}
{txt}  9{com}.                 {c )-}
{txt}(results {stata estimates replay m5:m5} are active now)

added scalar:
              e(adj_p) =  {res}.99274188
{txt}(results {stata estimates replay m3:m3} are active now)

added scalar:
              e(adj_p) =  {res}.99274188
{txt}(results {stata estimates replay m4:m4} are active now)

added scalar:
              e(adj_p) =  {res}.99274188
{txt}(results {stata estimates replay m2:m2} are active now)

added scalar:
              e(adj_p) =  {res}.99274188
{txt}
{com}.                 
.                 
.         * We include the adjusted p-value from the main outcomes index
.         
.         estimates restore m1
{txt}(results {stata estimates replay m1:m1} are active now)

{com}.         estadd scalar adj_p = 0.900

{txt}added scalar:
              e(adj_p) =  {res}.9
{txt}
{com}.         
.         ***********************************
.         * Table Health outcomes (endline) *
.         ***********************************
.         
.         * Outsheet the coefplot
.                 
.         coefplot (m1 \ m2 \ m3 \ m4 \ m5), keep(treatfull) xline(0, lcolor(gray)) scheme(s1mono) mcolor(blue) mlcolor(blue) levels(95 90) ciopts(lcolor(blue blue) lwidth(medium thick)) grid(none) xtick(-.4 -.2 0 .2 .4) xlabel(-.4 -.2 0 .2 .4) aseq swapnames coeflabels(m1 = "{c -(}bf:Health outcomes index{c )-}" m2 = "Weight for age, 0-18 months" m3 = "Weight for age, 18-36 months" m4 = "MUAC, 0-18 months" m5 = "MUAC, 18-36 months")  note("Displaying 95% and 90% confidence intervals")
{res}{txt}
{com}.         qui graph export "${c -(}Figures{c )-}/figure4f_healthoutcome.png", replace
{txt}
{com}.         
.         
.         * We outsheet the tables
.         
.         # delimit;
{txt}delimiter now ;
{com}.                 esttab m1 m2 m3 m4 m5
>         using "${c -(}tables{c )-}/TableI12.tex", b(%5.3f) se(%5.3f)
>                 title(Health outcome at the child level -- Averaged z-score indices)
>                 keep(treatfull _cons)
>                 varlabels (treatfull "Full treatment" _cons "Constant")
>                 starlevels(* .10 ** .05 *** .01)                
>                 mtitles("\textbf{c -(}\begin{c -(}tabular{c )-}[c]{c -(}@{c -(}{c )-}c@{c -(}{c )-}{c )-}Health outcomes\\index\end{c -(}tabular{c )-}{c )-}"
>                                 "\textbf{c -(}\begin{c -(}tabular{c )-}[c]{c -(}@{c -(}{c )-}c@{c -(}{c )-}{c )-}Weight/Age\\0-18 months\end{c -(}tabular{c )-}{c )-}"
>                                 "\textbf{c -(}\begin{c -(}tabular{c )-}[c]{c -(}@{c -(}{c )-}c@{c -(}{c )-}{c )-}MUAC\\0-18 months\end{c -(}tabular{c )-}{c )-}"
>                                 "\textbf{c -(}\begin{c -(}tabular{c )-}[c]{c -(}@{c -(}{c )-}c@{c -(}{c )-}{c )-}Weight/Age\\18-36 months\end{c -(}tabular{c )-}{c )-}"
>                                 "\textbf{c -(}\begin{c -(}tabular{c )-}[c]{c -(}@{c -(}{c )-}c@{c -(}{c )-}{c )-}MUAC\\18-36 months\end{c -(}tabular{c )-}{c )-}")
>                 stats(N r2 adj_p, labels("N" "R$^{c -(}2{c )-}$" "Adjusted p-value (FT)") fmt(%9.0fc %9.3fc)) label booktabs nonotes replace
>         
>         ;
{res}{txt}(output written to {browse  `"/Users/fredericcochinard/Dropbox/ACT_Health_JOP_replication_file/3.Tables and Figures/Tables/TableI12.tex"'})

{com}.                 # delimit cr
{txt}delimiter now cr
{com}.                 
.         * Regressions at endline (NS)
. 
.         eststo clear
{txt}
{com}.         
.         * We regress the main indicators
.         
.         areg  e_healthoutcome_z treatfull b_healthoutcome_z b_healthoutcome_z_d `controls_tfull' `treatfull_controls', robust cl(hc_id) a(district) 

{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}     4,930
{txt}{col 49}F({res}  15{txt},{res}    186{txt}){col 67}= {res}     49.15
{txt}{col 49}Prob > F{col 67}= {res}    0.0000
{txt}{col 49}R-squared{col 67}= {res}    0.1122
{txt}{col 49}Adj R-squared{col 67}= {res}    0.1067
{txt}{col 49}Root MSE{col 67}= {res}    0.8984

{txt}{ralign 78:(Std. Err. adjusted for {res:187} clusters in hc_id)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}e_healthou~z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2}-.0033963{col 26}{space 2} .0270478{col 37}{space 1}   -0.13{col 46}{space 3}0.900{col 54}{space 4}-.0567562{col 67}{space 3} .0499636
{txt}b_healthou~z {c |}{col 14}{res}{space 2} .1302072{col 26}{space 2} .0155592{col 37}{space 1}    8.37{col 46}{space 3}0.000{col 54}{space 4} .0995121{col 67}{space 3} .1609023
{txt}b_healthou~d {c |}{col 14}{res}{space 2} .6770636{col 26}{space 2}  .026726{col 37}{space 1}   25.33{col 46}{space 3}0.000{col 54}{space 4} .6243386{col 67}{space 3} .7297886
{txt}{space 1}c_tfull_hc2 {c |}{col 14}{res}{space 2} .0283452{col 26}{space 2} .0533759{col 37}{space 1}    0.53{col 46}{space 3}0.596{col 54}{space 4}-.0769548{col 67}{space 3} .1336452
{txt}c_tfull_b_~l {c |}{col 14}{res}{space 2}-.0147505{col 26}{space 2} .0657836{col 37}{space 1}   -0.22{col 46}{space 3}0.823{col 54}{space 4}-.1445285{col 67}{space 3} .1150274
{txt}c_tfull_b_~s {c |}{col 14}{res}{space 2}-.0122572{col 26}{space 2} .0696056{col 37}{space 1}   -0.18{col 46}{space 3}0.860{col 54}{space 4}-.1495751{col 67}{space 3} .1250607
{txt}c_tfull_b_~d {c |}{col 14}{res}{space 2}  .074849{col 26}{space 2} .0875182{col 37}{space 1}    0.86{col 46}{space 3}0.394{col 54}{space 4}-.0978068{col 67}{space 3} .2475048
{txt}c_tfull_ed~r {c |}{col 14}{res}{space 2} .0098675{col 26}{space 2} .0054247{col 37}{space 1}    1.82{col 46}{space 3}0.071{col 54}{space 4}-.0008343{col 67}{space 3} .0205693
{txt}c_tfull_b_~x {c |}{col 14}{res}{space 2}  .072321{col 26}{space 2}  .024921{col 37}{space 1}    2.90{col 46}{space 3}0.004{col 54}{space 4} .0231568{col 67}{space 3} .1214852
{txt}c_trea~l_hc2 {c |}{col 14}{res}{space 2} -.076098{col 26}{space 2} .0676823{col 37}{space 1}   -1.12{col 46}{space 3}0.262{col 54}{space 4}-.2096218{col 67}{space 3} .0574257
{txt}c_treatful.. {c |}{col 14}{res}{space 2}-.0559418{col 26}{space 2} .0741612{col 37}{space 1}   -0.75{col 46}{space 3}0.452{col 54}{space 4} -.202247{col 67}{space 3} .0903635
{txt}c_treatful.. {c |}{col 14}{res}{space 2}-.0559657{col 26}{space 2}  .075686{col 37}{space 1}   -0.74{col 46}{space 3}0.461{col 54}{space 4} -.205279{col 67}{space 3} .0933477
{txt}c_treatful.. {c |}{col 14}{res}{space 2}-.0862179{col 26}{space 2}   .10784{col 37}{space 1}   -0.80{col 46}{space 3}0.425{col 54}{space 4}-.2989646{col 67}{space 3} .1265288
{txt}c_treatful.. {c |}{col 14}{res}{space 2}-.0003268{col 26}{space 2} .0067286{col 37}{space 1}   -0.05{col 46}{space 3}0.961{col 54}{space 4} -.013601{col 67}{space 3} .0129475
{txt}c_treatful.. {c |}{col 14}{res}{space 2}-.0588372{col 26}{space 2} .0295923{col 37}{space 1}   -1.99{col 46}{space 3}0.048{col 54}{space 4}-.1172169{col 67}{space 3}-.0004574
{txt}{space 7}_cons {c |}{col 14}{res}{space 2}-.5103008{col 26}{space 2} .0220039{col 37}{space 1}  -23.19{col 46}{space 3}0.000{col 54}{space 4}-.5537102{col 67}{space 3}-.4668915
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{com}.         estimates store m1
{txt}
{com}.         
.         qui sum e_healthoutcome_z if treatfull == 0
{txt}
{com}.         local meane_healthoutcome_z r(mean)
{txt}
{com}.         local meane_healthoutcome_z = string(`meane_healthoutcome_z',"%9.3fc")
{txt}
{com}.         
.         qui sum b_healthoutcome_z if treatfull == 0
{txt}
{com}.         local meanb_healthoutcome_z r(mean)
{txt}
{com}.         local meanb_healthoutcome_z = string(`meanb_healthoutcome_z',"%9.3fc")
{txt}
{com}.         
.         estadd scalar meanb = `meanb_healthoutcome_z'

{txt}added scalar:
              e(meanb) =  {res}0
{txt}
{com}.         estadd scalar meane = `meane_healthoutcome_z'

{txt}added scalar:
              e(meane) =  {res}0
{txt}
{com}.         
.         * We take care of the different cohort
.         
.         local z = 1
{txt}
{com}.                 foreach y in _weight18  _muac18 {c -(}
{txt}  2{com}.                         local z = `z' + 1
{txt}  3{com}.                         areg  e`y' treatfull b`y' b`y'_d `controls_tfullho1' `treatfull_ho1_controls', robust cl(hc_id) a(district) 
{txt}  4{com}.                         estimates store m`z'
{txt}  5{com}.                         
.                         local p_`z' = (2 * ttail(e(df_r), abs(_b[treatfull]/_se[treatfull])))
{txt}  6{com}.                         
.                         qui sum e`y' if treatfull == 0
{txt}  7{com}.                         local meane`y' r(mean)
{txt}  8{com}.                         local meane`y' = string(`meane`y'',"%9.3fc")
{txt}  9{com}.                         
.                         qui sum b`y' if treatfull == 0
{txt} 10{com}.                         local meanb`y' r(mean)
{txt} 11{com}.                         local meanb`y' = string(`meanb`y'',"%9.3fc")
{txt} 12{com}.                         
.                         estadd scalar meanb = `meanb`y''
{txt} 13{com}.                         estadd scalar meane = `meane`y''
{txt} 14{com}.         
.                         
.                 {c )-}
{txt}note: b_weight18_d omitted because of collinearity
{res}
{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}     2,140
{txt}{col 49}F({res}  14{txt},{res}    186{txt}){col 67}= {res}      1.54
{txt}{col 49}Prob > F{col 67}= {res}    0.1007
{txt}{col 49}R-squared{col 67}= {res}    0.0177
{txt}{col 49}Adj R-squared{col 67}= {res}    0.0042
{txt}{col 49}Root MSE{col 67}= {res}    0.9837

{txt}{ralign 78:(Std. Err. adjusted for {res:187} clusters in hc_id)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}  e_weight18{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2}-.0004348{col 26}{space 2} .0477337{col 37}{space 1}   -0.01{col 46}{space 3}0.993{col 54}{space 4}-.0946038{col 67}{space 3} .0937342
{txt}{space 2}b_weight18 {c |}{col 14}{res}{space 2}-.0737849{col 26}{space 2}   .11024{col 37}{space 1}   -0.67{col 46}{space 3}0.504{col 54}{space 4}-.2912663{col 67}{space 3} .1436966
{txt}b_weight18_d {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
c_tfullho1~2 {c |}{col 14}{res}{space 2} .0848547{col 26}{space 2} .0945407{col 37}{space 1}    0.90{col 46}{space 3}0.371{col 54}{space 4}-.1016551{col 67}{space 3} .2713646
{txt}c_tfullho1~l {c |}{col 14}{res}{space 2}-.0537856{col 26}{space 2} .1078695{col 37}{space 1}   -0.50{col 46}{space 3}0.619{col 54}{space 4}-.2665906{col 67}{space 3} .1590194
{txt}c_tfullho1~s {c |}{col 14}{res}{space 2} .3389294{col 26}{space 2} .1227975{col 37}{space 1}    2.76{col 46}{space 3}0.006{col 54}{space 4} .0966745{col 67}{space 3} .5811844
{txt}c_tfullho1~d {c |}{col 14}{res}{space 2} .0445364{col 26}{space 2} .0957949{col 37}{space 1}    0.46{col 46}{space 3}0.643{col 54}{space 4}-.1444477{col 67}{space 3} .2335206
{txt}c_tfullho1~r {c |}{col 14}{res}{space 2} .0023751{col 26}{space 2}  .008336{col 37}{space 1}    0.28{col 46}{space 3}0.776{col 54}{space 4}  -.01407{col 67}{space 3} .0188203
{txt}c_tfullho1~x {c |}{col 14}{res}{space 2} .0384904{col 26}{space 2} .0387229{col 37}{space 1}    0.99{col 46}{space 3}0.322{col 54}{space 4}-.0379021{col 67}{space 3} .1148828
{txt}c_treatful.. {c |}{col 14}{res}{space 2}-.1411817{col 26}{space 2} .1130852{col 37}{space 1}   -1.25{col 46}{space 3}0.213{col 54}{space 4}-.3642762{col 67}{space 3} .0819128
{txt}c_treatful.. {c |}{col 14}{res}{space 2}-.0082768{col 26}{space 2} .1196659{col 37}{space 1}   -0.07{col 46}{space 3}0.945{col 54}{space 4}-.2443537{col 67}{space 3} .2278001
{txt}c_treatful.. {c |}{col 14}{res}{space 2}-.4816716{col 26}{space 2}  .143103{col 37}{space 1}   -3.37{col 46}{space 3}0.001{col 54}{space 4}-.7639852{col 67}{space 3}-.1993581
{txt}c_treatful.. {c |}{col 14}{res}{space 2}  -.12041{col 26}{space 2} .1490867{col 37}{space 1}   -0.81{col 46}{space 3}0.420{col 54}{space 4}-.4145283{col 67}{space 3} .1737082
{txt}c_treatful.. {c |}{col 14}{res}{space 2} .0132153{col 26}{space 2} .0106208{col 37}{space 1}    1.24{col 46}{space 3}0.215{col 54}{space 4}-.0077374{col 67}{space 3}  .034168
{txt}c_treatful.. {c |}{col 14}{res}{space 2}-.0533854{col 26}{space 2} .0479246{col 37}{space 1}   -1.11{col 46}{space 3}0.267{col 54}{space 4} -.147931{col 67}{space 3} .0411602
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} 1.350666{col 26}{space 2} .1389895{col 37}{space 1}    9.72{col 46}{space 3}0.000{col 54}{space 4} 1.076468{col 67}{space 3} 1.624865
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

added scalar:
              e(meanb) =  {res}1.195

{txt}added scalar:
              e(meane) =  {res}1.256
{txt}note: b_muac18_d omitted because of collinearity
{res}
{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}     2,140
{txt}{col 49}F({res}  14{txt},{res}    186{txt}){col 67}= {res}      1.82
{txt}{col 49}Prob > F{col 67}= {res}    0.0383
{txt}{col 49}R-squared{col 67}= {res}    0.0179
{txt}{col 49}Adj R-squared{col 67}= {res}    0.0044
{txt}{col 49}Root MSE{col 67}= {res}    2.7252

{txt}{ralign 78:(Std. Err. adjusted for {res:187} clusters in hc_id)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}    e_muac18{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2}-.0413406{col 26}{space 2} .1318411{col 37}{space 1}   -0.31{col 46}{space 3}0.754{col 54}{space 4}-.3014368{col 67}{space 3} .2187557
{txt}{space 4}b_muac18 {c |}{col 14}{res}{space 2}-.0877344{col 26}{space 2} .1207544{col 37}{space 1}   -0.73{col 46}{space 3}0.468{col 54}{space 4}-.3259588{col 67}{space 3}   .15049
{txt}{space 2}b_muac18_d {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
c_tfullho1~2 {c |}{col 14}{res}{space 2} .2689239{col 26}{space 2} .2758098{col 37}{space 1}    0.98{col 46}{space 3}0.331{col 54}{space 4}-.2751938{col 67}{space 3} .8130416
{txt}c_tfullho1~l {c |}{col 14}{res}{space 2}-.0997583{col 26}{space 2} .3066528{col 37}{space 1}   -0.33{col 46}{space 3}0.745{col 54}{space 4}-.7047229{col 67}{space 3} .5052064
{txt}c_tfullho1~s {c |}{col 14}{res}{space 2} .9721322{col 26}{space 2} .3362579{col 37}{space 1}    2.89{col 46}{space 3}0.004{col 54}{space 4} .3087626{col 67}{space 3} 1.635502
{txt}c_tfullho1~d {c |}{col 14}{res}{space 2} .1829848{col 26}{space 2} .2731441{col 37}{space 1}    0.67{col 46}{space 3}0.504{col 54}{space 4} -.355874{col 67}{space 3} .7218436
{txt}c_tfullho1~r {c |}{col 14}{res}{space 2}-.0043936{col 26}{space 2} .0235509{col 37}{space 1}   -0.19{col 46}{space 3}0.852{col 54}{space 4}-.0508548{col 67}{space 3} .0420677
{txt}c_tfullho1~x {c |}{col 14}{res}{space 2} .1046465{col 26}{space 2} .1103151{col 37}{space 1}    0.95{col 46}{space 3}0.344{col 54}{space 4} -.112983{col 67}{space 3} .3222761
{txt}c_treatful.. {c |}{col 14}{res}{space 2}-.4276454{col 26}{space 2} .3164603{col 37}{space 1}   -1.35{col 46}{space 3}0.178{col 54}{space 4}-1.051958{col 67}{space 3} .1966676
{txt}c_treatful.. {c |}{col 14}{res}{space 2}-.0794386{col 26}{space 2} .3344529{col 37}{space 1}   -0.24{col 46}{space 3}0.813{col 54}{space 4}-.7392473{col 67}{space 3} .5803701
{txt}c_treatful.. {c |}{col 14}{res}{space 2}-1.409971{col 26}{space 2} .3865938{col 37}{space 1}   -3.65{col 46}{space 3}0.000{col 54}{space 4}-2.172643{col 67}{space 3}-.6472982
{txt}c_treatful.. {c |}{col 14}{res}{space 2}-.4010578{col 26}{space 2} .4177814{col 37}{space 1}   -0.96{col 46}{space 3}0.338{col 54}{space 4}-1.225257{col 67}{space 3} .4231414
{txt}c_treatful.. {c |}{col 14}{res}{space 2} .0465945{col 26}{space 2} .0292381{col 37}{space 1}    1.59{col 46}{space 3}0.113{col 54}{space 4}-.0110865{col 67}{space 3} .1042754
{txt}c_treatful.. {c |}{col 14}{res}{space 2}-.1673826{col 26}{space 2} .1362874{col 37}{space 1}   -1.23{col 46}{space 3}0.221{col 54}{space 4}-.4362505{col 67}{space 3} .1014853
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} 2.874265{col 26}{space 2} .3266229{col 37}{space 1}    8.80{col 46}{space 3}0.000{col 54}{space 4} 2.229904{col 67}{space 3} 3.518627
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

added scalar:
              e(meanb) =  {res}2.411

{txt}added scalar:
              e(meane) =  {res}2.643
{txt}
{com}.                 
.         local z = 3
{txt}
{com}.                 foreach y in _weight36  _muac36 {c -(}
{txt}  2{com}.                         local z = `z' + 1
{txt}  3{com}.                         areg  e`y' treatfull b`y' b`y'_d `controls_tfullho2' `treatfull_ho2_controls', robust cl(hc_id) a(district) 
{txt}  4{com}.                         estimates store m`z'
{txt}  5{com}.                         
.                         local p_`z' = (2 * ttail(e(df_r), abs(_b[treatfull]/_se[treatfull])))
{txt}  6{com}.                         
.                         qui sum e`y' if treatfull == 0
{txt}  7{com}.                         local meane`y' r(mean)
{txt}  8{com}.                         local meane`y' = string(`meane`y'',"%9.3fc")
{txt}  9{com}.                         
.                         qui sum b`y' if treatfull == 0
{txt} 10{com}.                         local meanb`y' r(mean)
{txt} 11{com}.                         local meanb`y' = string(`meanb`y'',"%9.3fc")
{txt} 12{com}.                         
.                         estadd scalar meanb = `meanb`y''
{txt} 13{com}.                         estadd scalar meane = `meane`y''
{txt} 14{com}.                         
.                 {c )-}

{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}     2,790
{txt}{col 49}F({res}  15{txt},{res}    186{txt}){col 67}= {res}     57.17
{txt}{col 49}Prob > F{col 67}= {res}    0.0000
{txt}{col 49}R-squared{col 67}= {res}    0.2252
{txt}{col 49}Adj R-squared{col 67}= {res}    0.2168
{txt}{col 49}Root MSE{col 67}= {res}    0.0641

{txt}{ralign 78:(Std. Err. adjusted for {res:187} clusters in hc_id)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}  e_weight36{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2} .0002669{col 26}{space 2} .0023503{col 37}{space 1}    0.11{col 46}{space 3}0.910{col 54}{space 4}-.0043697{col 67}{space 3} .0049035
{txt}{space 2}b_weight36 {c |}{col 14}{res}{space 2} .0231171{col 26}{space 2} .0014892{col 37}{space 1}   15.52{col 46}{space 3}0.000{col 54}{space 4} .0201792{col 67}{space 3} .0260551
{txt}b_weight36_d {c |}{col 14}{res}{space 2} .0614481{col 26}{space 2}  .002493{col 37}{space 1}   24.65{col 46}{space 3}0.000{col 54}{space 4}   .05653{col 67}{space 3} .0663662
{txt}c_tfullho2~2 {c |}{col 14}{res}{space 2} .0010538{col 26}{space 2} .0042748{col 37}{space 1}    0.25{col 46}{space 3}0.806{col 54}{space 4}-.0073796{col 67}{space 3} .0094871
{txt}c_tfullho2~l {c |}{col 14}{res}{space 2} .0030987{col 26}{space 2} .0049389{col 37}{space 1}    0.63{col 46}{space 3}0.531{col 54}{space 4}-.0066448{col 67}{space 3} .0128423
{txt}c_tfullho2~s {c |}{col 14}{res}{space 2}-.0232575{col 26}{space 2} .0055895{col 37}{space 1}   -4.16{col 46}{space 3}0.000{col 54}{space 4}-.0342845{col 67}{space 3}-.0122305
{txt}c_tfullho2~d {c |}{col 14}{res}{space 2} .0147012{col 26}{space 2} .0088678{col 37}{space 1}    1.66{col 46}{space 3}0.099{col 54}{space 4}-.0027932{col 67}{space 3} .0321957
{txt}c_tfullho2~r {c |}{col 14}{res}{space 2} .0015985{col 26}{space 2} .0005469{col 37}{space 1}    2.92{col 46}{space 3}0.004{col 54}{space 4} .0005196{col 67}{space 3} .0026773
{txt}c_tfullho2~x {c |}{col 14}{res}{space 2} .0070898{col 26}{space 2} .0018901{col 37}{space 1}    3.75{col 46}{space 3}0.000{col 54}{space 4}  .003361{col 67}{space 3} .0108186
{txt}c_treatful.. {c |}{col 14}{res}{space 2}-.0059086{col 26}{space 2} .0053821{col 37}{space 1}   -1.10{col 46}{space 3}0.274{col 54}{space 4}-.0165264{col 67}{space 3} .0047093
{txt}c_treatful.. {c |}{col 14}{res}{space 2}-.0047473{col 26}{space 2} .0059899{col 37}{space 1}   -0.79{col 46}{space 3}0.429{col 54}{space 4}-.0165642{col 67}{space 3} .0070696
{txt}c_treatful.. {c |}{col 14}{res}{space 2} .0240302{col 26}{space 2} .0076755{col 37}{space 1}    3.13{col 46}{space 3}0.002{col 54}{space 4} .0088879{col 67}{space 3} .0391724
{txt}c_treatful.. {c |}{col 14}{res}{space 2}-.0088571{col 26}{space 2} .0124041{col 37}{space 1}   -0.71{col 46}{space 3}0.476{col 54}{space 4} -.033328{col 67}{space 3} .0156138
{txt}c_treatful.. {c |}{col 14}{res}{space 2}-.0009556{col 26}{space 2} .0007415{col 37}{space 1}   -1.29{col 46}{space 3}0.199{col 54}{space 4}-.0024185{col 67}{space 3} .0005072
{txt}c_treatful.. {c |}{col 14}{res}{space 2}-.0026706{col 26}{space 2} .0026226{col 37}{space 1}   -1.02{col 46}{space 3}0.310{col 54}{space 4}-.0078445{col 67}{space 3} .0025032
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} .3625923{col 26}{space 2} .0028179{col 37}{space 1}  128.67{col 46}{space 3}0.000{col 54}{space 4} .3570331{col 67}{space 3} .3681515
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

added scalar:
              e(meanb) =  {res}1.361

{txt}added scalar:
              e(meane) =  {res}.429

{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}     2,790
{txt}{col 49}F({res}  15{txt},{res}    186{txt}){col 67}= {res}    145.59
{txt}{col 49}Prob > F{col 67}= {res}    0.0000
{txt}{col 49}R-squared{col 67}= {res}    0.3463
{txt}{col 49}Adj R-squared{col 67}= {res}    0.3391
{txt}{col 49}Root MSE{col 67}= {res}    0.0898

{txt}{ralign 78:(Std. Err. adjusted for {res:187} clusters in hc_id)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}    e_muac36{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2} .0018815{col 26}{space 2} .0030731{col 37}{space 1}    0.61{col 46}{space 3}0.541{col 54}{space 4} -.004181{col 67}{space 3} .0079441
{txt}{space 4}b_muac36 {c |}{col 14}{res}{space 2} .0140345{col 26}{space 2}  .000506{col 37}{space 1}   27.74{col 46}{space 3}0.000{col 54}{space 4} .0130364{col 67}{space 3} .0150327
{txt}{space 2}b_muac36_d {c |}{col 14}{res}{space 2} .1271091{col 26}{space 2} .0033924{col 37}{space 1}   37.47{col 46}{space 3}0.000{col 54}{space 4} .1204165{col 67}{space 3} .1338017
{txt}c_tfullho2~2 {c |}{col 14}{res}{space 2}-.0000618{col 26}{space 2} .0054498{col 37}{space 1}   -0.01{col 46}{space 3}0.991{col 54}{space 4}-.0108132{col 67}{space 3} .0106896
{txt}c_tfullho2~l {c |}{col 14}{res}{space 2} .0050358{col 26}{space 2} .0064746{col 37}{space 1}    0.78{col 46}{space 3}0.438{col 54}{space 4}-.0077373{col 67}{space 3}  .017809
{txt}c_tfullho2~s {c |}{col 14}{res}{space 2} -.029717{col 26}{space 2}  .007416{col 37}{space 1}   -4.01{col 46}{space 3}0.000{col 54}{space 4}-.0443474{col 67}{space 3}-.0150867
{txt}c_tfullho2~d {c |}{col 14}{res}{space 2} .0138628{col 26}{space 2} .0116272{col 37}{space 1}    1.19{col 46}{space 3}0.235{col 54}{space 4}-.0090753{col 67}{space 3} .0368008
{txt}c_tfullho2~r {c |}{col 14}{res}{space 2} .0014968{col 26}{space 2} .0006885{col 37}{space 1}    2.17{col 46}{space 3}0.031{col 54}{space 4} .0001386{col 67}{space 3}  .002855
{txt}c_tfullho2~x {c |}{col 14}{res}{space 2} .0066632{col 26}{space 2} .0028034{col 37}{space 1}    2.38{col 46}{space 3}0.018{col 54}{space 4} .0011325{col 67}{space 3} .0121938
{txt}c_treatful.. {c |}{col 14}{res}{space 2} .0002521{col 26}{space 2} .0071249{col 37}{space 1}    0.04{col 46}{space 3}0.972{col 54}{space 4}-.0138039{col 67}{space 3} .0143082
{txt}c_treatful.. {c |}{col 14}{res}{space 2}-.0064049{col 26}{space 2} .0079709{col 37}{space 1}   -0.80{col 46}{space 3}0.423{col 54}{space 4}  -.02213{col 67}{space 3} .0093201
{txt}c_treatful.. {c |}{col 14}{res}{space 2}  .025935{col 26}{space 2} .0101379{col 37}{space 1}    2.56{col 46}{space 3}0.011{col 54}{space 4}  .005935{col 67}{space 3}  .045935
{txt}c_treatful.. {c |}{col 14}{res}{space 2}-.0062171{col 26}{space 2} .0164968{col 37}{space 1}   -0.38{col 46}{space 3}0.707{col 54}{space 4} -.038762{col 67}{space 3} .0263278
{txt}c_treatful.. {c |}{col 14}{res}{space 2} -.000759{col 26}{space 2} .0009487{col 37}{space 1}   -0.80{col 46}{space 3}0.425{col 54}{space 4}-.0026307{col 67}{space 3} .0011127
{txt}c_treatful.. {c |}{col 14}{res}{space 2}-.0062521{col 26}{space 2}  .003728{col 37}{space 1}   -1.68{col 46}{space 3}0.095{col 54}{space 4}-.0136067{col 67}{space 3} .0011026
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} .4521418{col 26}{space 2} .0026857{col 37}{space 1}  168.35{col 46}{space 3}0.000{col 54}{space 4} .4468435{col 67}{space 3} .4574401
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

added scalar:
              e(meanb) =  {res}2.843

{txt}added scalar:
              e(meane) =  {res}.563
{txt}
{com}.         
.         * We outsheet the results
.         
.         # delimit;
{txt}delimiter now ;
{com}.                 esttab m1 m2 m3 m4 m5
>         using "${c -(}tables{c )-}/TableI13.tex", b(%5.3f) se(%5.3f)
>                 title(Health outcome at the child level -- Non-standardized subcomponents)
>                 keep(treatfull _cons)
>                 varlabels (treatfull "Full treatment" _cons "Constant")
>                 starlevels(* .10 ** .05 *** .01)                
>                 mtitles("\textbf{c -(}\begin{c -(}tabular{c )-}[c]{c -(}@{c -(}{c )-}c@{c -(}{c )-}{c )-}Health outcome\\overall\end{c -(}tabular{c )-}{c )-}"
>                                 "\textbf{c -(}\begin{c -(}tabular{c )-}[c]{c -(}@{c -(}{c )-}c@{c -(}{c )-}{c )-}Weight/Age\\0-18 months\end{c -(}tabular{c )-}{c )-}"
>                                 "\textbf{c -(}\begin{c -(}tabular{c )-}[c]{c -(}@{c -(}{c )-}c@{c -(}{c )-}{c )-}MUAC\\0-18 months\end{c -(}tabular{c )-}{c )-}"
>                                 "\textbf{c -(}\begin{c -(}tabular{c )-}[c]{c -(}@{c -(}{c )-}c@{c -(}{c )-}{c )-}Weight/Age\\18-36 months\end{c -(}tabular{c )-}{c )-}"
>                                 "\textbf{c -(}\begin{c -(}tabular{c )-}[c]{c -(}@{c -(}{c )-}c@{c -(}{c )-}{c )-}MUAC\\18-36 months\end{c -(}tabular{c )-}{c )-}")
>                 stats(N r2 meane meanb, labels("N" "R$^{c -(}2{c )-}$" "Mean control group endline" "Mean control group baseline") fmt(%9.0fc %9.3fc)) label booktabs nonotes replace
>         
>         ;
{res}{txt}(output written to {browse  `"/Users/fredericcochinard/Dropbox/ACT_Health_JOP_replication_file/3.Tables and Figures/Tables/TableI13.tex"'})

{com}.                 # delimit cr
{txt}delimiter now cr
{com}.         
.         ********************************
.         * Table/Figure Child mortality *
.         ********************************
.         
.         * We load the right dataset
.         
.         use "${c -(}usedata{c )-}/chp_el_light_dataset.dta", clear
{txt}
{com}.         
.         * At endline:
.         
.         eststo clear
{txt}
{com}.         
.         local y = 1
{txt}
{com}.         foreach x in `childmortality' {c -(}
{txt}  2{com}.                 areg  e_`x' `var' b_`x' `e_controls_tfull_hc' ``var'_hc_int_e_controls' if uniquehc == 1, robust a(district)
{txt}  3{com}.                 
.                 local p_`y' = (2 * ttail(e(df_r), abs(_b[`var']/_se[`var'])))
{txt}  4{com}.                 
.                 estimates store m`y'
{txt}  5{com}.                 local y = `y' + 1
{txt}  6{com}.                 {c )-}
{res}
{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}       187
{txt}{col 49}F({res}  14{txt},{res}    157{txt}){col 67}= {res}      1.41
{txt}{col 49}Prob > F{col 67}= {res}    0.1530
{txt}{col 49}R-squared{col 67}= {res}    0.1974
{txt}{col 49}Adj R-squared{col 67}= {res}    0.0492
{txt}{col 49}Root MSE{col 67}= {res}    0.0534

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}e_mortrat~05{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2}-.0105267{col 26}{space 2} .0079551{col 37}{space 1}   -1.32{col 46}{space 3}0.188{col 54}{space 4}-.0262397{col 67}{space 3} .0051862
{txt}b_mortrat~05 {c |}{col 14}{res}{space 2} .0808291{col 26}{space 2}  .065325{col 37}{space 1}    1.24{col 46}{space 3}0.218{col 54}{space 4}-.0482001{col 67}{space 3} .2098583
{txt}c_tf~_hc_hc2 {c |}{col 14}{res}{space 2} .0083737{col 26}{space 2} .0168654{col 37}{space 1}    0.50{col 46}{space 3}0.620{col 54}{space 4}-.0249386{col 67}{space 3} .0416859
{txt}c_tfull_hc~l {c |}{col 14}{res}{space 2} .0020266{col 26}{space 2} .0211816{col 37}{space 1}    0.10{col 46}{space 3}0.924{col 54}{space 4}-.0398112{col 67}{space 3} .0438643
{txt}c_tfull_hc~s {c |}{col 14}{res}{space 2} .0115205{col 26}{space 2} .0223521{col 37}{space 1}    0.52{col 46}{space 3}0.607{col 54}{space 4}-.0326291{col 67}{space 3}   .05567
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2} .0310707{col 26}{space 2} .0567591{col 37}{space 1}    0.55{col 46}{space 3}0.585{col 54}{space 4}-.0810392{col 67}{space 3} .1431807
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2}-.0063919{col 26}{space 2} .0071613{col 37}{space 1}   -0.89{col 46}{space 3}0.373{col 54}{space 4}-.0205367{col 67}{space 3} .0077529
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2} .0158802{col 26}{space 2} .0211947{col 37}{space 1}    0.75{col 46}{space 3}0.455{col 54}{space 4}-.0259833{col 67}{space 3} .0577437
{txt}c_treatful.. {c |}{col 14}{res}{space 2}-.0047529{col 26}{space 2} .0194419{col 37}{space 1}   -0.24{col 46}{space 3}0.807{col 54}{space 4}-.0431543{col 67}{space 3} .0336486
{txt}c_treatful.. {c |}{col 14}{res}{space 2}-.0018397{col 26}{space 2} .0234256{col 37}{space 1}   -0.08{col 46}{space 3}0.938{col 54}{space 4}-.0481097{col 67}{space 3} .0444302
{txt}c_treatful.. {c |}{col 14}{res}{space 2}-.0353364{col 26}{space 2} .0275786{col 37}{space 1}   -1.28{col 46}{space 3}0.202{col 54}{space 4}-.0898094{col 67}{space 3} .0191366
{txt}c_treatful.. {c |}{col 14}{res}{space 2}-.1735433{col 26}{space 2} .0910238{col 37}{space 1}   -1.91{col 46}{space 3}0.058{col 54}{space 4}-.3533325{col 67}{space 3}  .006246
{txt}c_treatful.. {c |}{col 14}{res}{space 2}-.0026096{col 26}{space 2} .0085994{col 37}{space 1}   -0.30{col 46}{space 3}0.762{col 54}{space 4}-.0195951{col 67}{space 3} .0143758
{txt}c_treatful.. {c |}{col 14}{res}{space 2} -.017001{col 26}{space 2} .0275689{col 37}{space 1}   -0.62{col 46}{space 3}0.538{col 54}{space 4}-.0714548{col 67}{space 3} .0374529
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} .0606025{col 26}{space 2} .0063477{col 37}{space 1}    9.55{col 46}{space 3}0.000{col 54}{space 4} .0480645{col 67}{space 3} .0731405
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)
{res}
{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}       187
{txt}{col 49}F({res}  14{txt},{res}    157{txt}){col 67}= {res}      1.36
{txt}{col 49}Prob > F{col 67}= {res}    0.1793
{txt}{col 49}R-squared{col 67}= {res}    0.2109
{txt}{col 49}Adj R-squared{col 67}= {res}    0.0652
{txt}{col 49}Root MSE{col 67}= {res}    0.0457

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}e_mortrat~01{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2}-.0060731{col 26}{space 2} .0069378{col 37}{space 1}   -0.88{col 46}{space 3}0.383{col 54}{space 4}-.0197766{col 67}{space 3} .0076304
{txt}b_mortrat~01 {c |}{col 14}{res}{space 2} .0905286{col 26}{space 2} .0549557{col 37}{space 1}    1.65{col 46}{space 3}0.101{col 54}{space 4}-.0180194{col 67}{space 3} .1990765
{txt}c_tf~_hc_hc2 {c |}{col 14}{res}{space 2}-.0025204{col 26}{space 2} .0124912{col 37}{space 1}   -0.20{col 46}{space 3}0.840{col 54}{space 4}-.0271929{col 67}{space 3}  .022152
{txt}c_tfull_hc~l {c |}{col 14}{res}{space 2}-.0037403{col 26}{space 2} .0139404{col 37}{space 1}   -0.27{col 46}{space 3}0.789{col 54}{space 4}-.0312751{col 67}{space 3} .0237945
{txt}c_tfull_hc~s {c |}{col 14}{res}{space 2} .0139097{col 26}{space 2} .0151483{col 37}{space 1}    0.92{col 46}{space 3}0.360{col 54}{space 4} -.016011{col 67}{space 3} .0438304
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2} .0176125{col 26}{space 2} .0468393{col 37}{space 1}    0.38{col 46}{space 3}0.707{col 54}{space 4}-.0749039{col 67}{space 3} .1101289
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2}-.0067844{col 26}{space 2} .0054735{col 37}{space 1}   -1.24{col 46}{space 3}0.217{col 54}{space 4}-.0175955{col 67}{space 3} .0040267
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2} .0181683{col 26}{space 2} .0170443{col 37}{space 1}    1.07{col 46}{space 3}0.288{col 54}{space 4}-.0154975{col 67}{space 3}  .051834
{txt}c_treatful.. {c |}{col 14}{res}{space 2}-.0028915{col 26}{space 2} .0156095{col 37}{space 1}   -0.19{col 46}{space 3}0.853{col 54}{space 4}-.0337233{col 67}{space 3} .0279403
{txt}c_treatful.. {c |}{col 14}{res}{space 2}-.0076081{col 26}{space 2} .0166394{col 37}{space 1}   -0.46{col 46}{space 3}0.648{col 54}{space 4} -.040474{col 67}{space 3} .0252578
{txt}c_treatful.. {c |}{col 14}{res}{space 2}-.0324558{col 26}{space 2} .0224516{col 37}{space 1}   -1.45{col 46}{space 3}0.150{col 54}{space 4}-.0768019{col 67}{space 3} .0118903
{txt}c_treatful.. {c |}{col 14}{res}{space 2}-.1175735{col 26}{space 2} .0809434{col 37}{space 1}   -1.45{col 46}{space 3}0.148{col 54}{space 4}-.2774521{col 67}{space 3} .0423051
{txt}c_treatful.. {c |}{col 14}{res}{space 2} .0008423{col 26}{space 2} .0071618{col 37}{space 1}    0.12{col 46}{space 3}0.907{col 54}{space 4}-.0133035{col 67}{space 3} .0149881
{txt}c_treatful.. {c |}{col 14}{res}{space 2}-.0182856{col 26}{space 2} .0239717{col 37}{space 1}   -0.76{col 46}{space 3}0.447{col 54}{space 4}-.0656342{col 67}{space 3}  .029063
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} .0414822{col 26}{space 2} .0048532{col 37}{space 1}    8.55{col 46}{space 3}0.000{col 54}{space 4} .0318962{col 67}{space 3} .0510682
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)
{res}
{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}       187
{txt}{col 49}F({res}  14{txt},{res}    157{txt}){col 67}= {res}      0.77
{txt}{col 49}Prob > F{col 67}= {res}    0.7028
{txt}{col 49}R-squared{col 67}= {res}    0.1841
{txt}{col 49}Adj R-squared{col 67}= {res}    0.0334
{txt}{col 49}Root MSE{col 67}= {res}    0.0306

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}e_mortrat~15{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2}-.0046703{col 26}{space 2} .0044821{col 37}{space 1}   -1.04{col 46}{space 3}0.299{col 54}{space 4}-.0135233{col 67}{space 3} .0041828
{txt}b_mortrat~15 {c |}{col 14}{res}{space 2}-.0405565{col 26}{space 2} .0824039{col 37}{space 1}   -0.49{col 46}{space 3}0.623{col 54}{space 4}-.2033199{col 67}{space 3} .1222069
{txt}c_tf~_hc_hc2 {c |}{col 14}{res}{space 2} .0120918{col 26}{space 2} .0106467{col 37}{space 1}    1.14{col 46}{space 3}0.258{col 54}{space 4}-.0089375{col 67}{space 3} .0331211
{txt}c_tfull_hc~l {c |}{col 14}{res}{space 2} .0064712{col 26}{space 2} .0136679{col 37}{space 1}    0.47{col 46}{space 3}0.637{col 54}{space 4}-.0205254{col 67}{space 3} .0334678
{txt}c_tfull_hc~s {c |}{col 14}{res}{space 2} -.001936{col 26}{space 2} .0142809{col 37}{space 1}   -0.14{col 46}{space 3}0.892{col 54}{space 4}-.0301435{col 67}{space 3} .0262715
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2} .0115074{col 26}{space 2} .0240849{col 37}{space 1}    0.48{col 46}{space 3}0.633{col 54}{space 4}-.0360649{col 67}{space 3} .0590797
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2} .0003066{col 26}{space 2} .0034552{col 37}{space 1}    0.09{col 46}{space 3}0.929{col 54}{space 4} -.006518{col 67}{space 3} .0071313
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2}-.0020473{col 26}{space 2}  .010427{col 37}{space 1}   -0.20{col 46}{space 3}0.845{col 54}{space 4}-.0226427{col 67}{space 3}  .018548
{txt}c_treatful.. {c |}{col 14}{res}{space 2}-.0028837{col 26}{space 2} .0128458{col 37}{space 1}   -0.22{col 46}{space 3}0.823{col 54}{space 4}-.0282565{col 67}{space 3} .0224891
{txt}c_treatful.. {c |}{col 14}{res}{space 2} .0044845{col 26}{space 2} .0155964{col 37}{space 1}    0.29{col 46}{space 3}0.774{col 54}{space 4}-.0263212{col 67}{space 3} .0352903
{txt}c_treatful.. {c |}{col 14}{res}{space 2}-.0021586{col 26}{space 2} .0140136{col 37}{space 1}   -0.15{col 46}{space 3}0.878{col 54}{space 4}-.0298381{col 67}{space 3} .0255208
{txt}c_treatful.. {c |}{col 14}{res}{space 2}-.0564868{col 26}{space 2} .0384268{col 37}{space 1}   -1.47{col 46}{space 3}0.144{col 54}{space 4} -.132387{col 67}{space 3} .0194134
{txt}c_treatful.. {c |}{col 14}{res}{space 2}-.0025176{col 26}{space 2} .0050766{col 37}{space 1}   -0.50{col 46}{space 3}0.621{col 54}{space 4}-.0125448{col 67}{space 3} .0075096
{txt}c_treatful.. {c |}{col 14}{res}{space 2}-.0016235{col 26}{space 2} .0134909{col 37}{space 1}   -0.12{col 46}{space 3}0.904{col 54}{space 4}-.0282705{col 67}{space 3} .0250235
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} .0201883{col 26}{space 2} .0034914{col 37}{space 1}    5.78{col 46}{space 3}0.000{col 54}{space 4} .0132922{col 67}{space 3} .0270844
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{com}.         
.         * We create the adjusted p-value following the Benjamini-Hochberg methodology 
.         
.         local y = `y' - 1
{txt}
{com}.         
.         local ps `p_2'
{txt}
{com}.         forvalues x = 3/`y' {c -(}
{txt}  2{com}.                 local ps `ps' \ `p_`x''
{txt}  3{com}.                 {c )-}
{txt}
{com}. 
.         matrix mat = (`ps')
{txt}
{com}.                 
.         * We need to rank the p-value, transpose it and transfer it to local
.         
.         matsort mat 1 "up"
{txt}
{com}.         
.         mat ps_mat = mat'
{txt}
{com}.         
.         mat list ps_mat
{res}
{txt}ps_mat[1,2]
           r2         r1
c1 {res} .29902438  .38271471
{reset}
{com}.         
.         local ps_rank
{txt}
{com}.         
.         forvalues z = 1/`y' {c -(}
{txt}  2{com}.                 local x = ps_mat[1,`z']
{txt}  3{com}.                 local ps_rank `ps_rank' `x'
{txt}  4{com}.                 {c )-}
{txt}
{com}.                 
.         di "`ps_rank'"
{res}.2990243781566765 .3827147121068054 .
{txt}
{com}.         
.         * We count the number of tests (numerator)
.         
.         local num_p = `y' - 1
{txt}
{com}.         
.         * We calculate the BH value
.         
.         local z = 0
{txt}
{com}.         foreach i of local ps_rank {c -(}
{txt}  2{com}.                 local z = `z' + 1 
{txt}  3{com}.                 local adj_p`z' = (`i' * `num_p') / `z'
{txt}  4{com}.                 {c )-}
{txt}
{com}.                 
.         * We compare it according to the rank and eventually replace it
.         
.         forvalues r = 1/`y' {c -(}
{txt}  2{com}.         local d = `y' - 1
{txt}  3{com}.         forvalues z = 1/`d' {c -(}
{txt}  4{com}.                 local v = `z' + 1
{txt}  5{com}.                         if `adj_p`z'' >= `adj_p`v'' {c -(}
{txt}  6{com}.                                 local adj_p`z' `adj_p`v''
{txt}  7{com}.                                 {c )-}
{txt}  8{com}.                         {c )-}
{txt}  9{com}.                         {c )-}
{txt}
{com}.         
.         * We store it in the estimator
.         
.         local z = 0
{txt}
{com}.         foreach i of local ps_rank {c -(}
{txt}  2{com}.                 local z = `z' + 1 
{txt}  3{com}.                 forvalues j = 2/`y' {c -(}
{txt}  4{com}.                         if `i' == `p_`j'' {c -(} 
{txt}  5{com}.                         estimates restore m`j'
{txt}  6{com}.                         estadd scalar adj_p = `adj_p`z''
{txt}  7{com}.                         {c )-}
{txt}  8{com}.                 {c )-}
{txt}  9{com}.                 {c )-}       
{txt}(results {stata estimates replay m3:m3} are active now)

added scalar:
              e(adj_p) =  {res}.38271471
{txt}(results {stata estimates replay m2:m2} are active now)

added scalar:
              e(adj_p) =  {res}.38271471
{txt}
{com}.                 
.         * We include the adjusted p-value from the main outcomes index
.         
.         estimates restore m1
{txt}(results {stata estimates replay m1:m1} are active now)

{com}.         estadd scalar adj_p = 0.298

{txt}added scalar:
              e(adj_p) =  {res}.298
{txt}
{com}.                 
.         ********************************************
.         * Table Child mortality outcomes (endline) *
.         ********************************************
.         
.         coefplot (m1 \ m2 \ m3), keep(`var') xline(0, lcolor(gray)) scheme(s1mono) mcolor(blue) mlcolor(blue) levels(95 90) ciopts(lcolor(blue blue) lwidth(medium thick)) grid(none) xtick(-.04 -.02 0 .02 .04) xlabel(-.04 -.02 0 .02 .04) aseq swapnames coeflabels(m1 = "Child mortality, 0-5 years" m2 = "Child mortality, 0-12 months" m3 = "Child mortality, 1-5 years") note("Displaying 95% and 90% confidence intervals" "Note the different scale from panels (a)-(f)")
{res}{txt}
{com}.         qui graph export "${c -(}Figures{c )-}/Figure4g_childmortality.png", replace
{txt}
{com}.         
.         
.         # delimit;
{txt}delimiter now ;
{com}.                 esttab m1 m2 m3
>         using "${c -(}tables{c )-}/TableI14.tex", b(%5.3f) se(%5.3f)
>                 title(Child mortality index -- Subcomponents)
>                 keep(`var' _cons)
>                 varlabels (`var' "Full treatment" _cons "Constant")     
>                 starlevels(* .10 ** .05 *** .01)                
>                 mtitles("\begin{c -(}tabular{c )-}[c]{c -(}@{c -(}{c )-}c@{c -(}{c )-}{c )-}Child\\mortality\\0-5 years old\end{c -(}tabular{c )-}{c )-}"
>                                 "\begin{c -(}tabular{c )-}[c]{c -(}@{c -(}{c )-}c@{c -(}{c )-}{c )-}Child mortality\\0-1 year old\end{c -(}tabular{c )-}"
>                                 "\begin{c -(}tabular{c )-}[c]{c -(}@{c -(}{c )-}c@{c -(}{c )-}{c )-}Child mortality\\1-5 years old\end{c -(}tabular{c )-}")
>                 stats(N r2 adj_p, labels("N" "R$^{c -(}2{c )-}$" "Adjusted p-value (FT)") fmt(%9.0fc %9.3fc)) label booktabs nonotes replace
>         
>         ;
{res}{txt}(output written to {browse  `"/Users/fredericcochinard/Dropbox/ACT_Health_JOP_replication_file/3.Tables and Figures/Tables/TableI14.tex"'})

{com}.                 # delimit cr
{txt}delimiter now cr
{com}.         
.         ***************************
.         ** Intermediate outcomes **
.         ***************************
. 
.         * At endline:
.         
.         eststo clear
{txt}
{com}.         
.         local y = 1
{txt}
{com}.         foreach x in `intermediate' {c -(}
{txt}  2{com}.                 areg  e_`x' `var' b_`x' b_`x'_d `e_controls_tfull' ``var'_int_e_controls', robust cl(hc_id) a(district)
{txt}  3{com}.                 
.                 local p_`y' = (2 * ttail(e(df_r), abs(_b[`var']/_se[`var'])))
{txt}  4{com}.                 
.                 estimates store m`y'
{txt}  5{com}.                 
.                 test treatfull = 0
{txt}  6{com}.                 local f_walde_`x' = string(`r(p)',"%9.3fc")
{txt}  7{com}.                 
.                 estadd scalar f_walde = `f_walde_`x''
{txt}  8{com}.                 
.                 local y = `y' + 1
{txt}  9{com}.                 {c )-}
{txt}note: b_ctzknow_z_d omitted because of collinearity
{res}
{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}     7,288
{txt}{col 49}F({res}  14{txt},{res}    186{txt}){col 67}= {res}     25.20
{txt}{col 49}Prob > F{col 67}= {res}    0.0000
{txt}{col 49}R-squared{col 67}= {res}    0.2052
{txt}{col 49}Adj R-squared{col 67}= {res}    0.2021
{txt}{col 49}Root MSE{col 67}= {res}    0.6141

{txt}{ralign 78:(Std. Err. adjusted for {res:187} clusters in hc_id)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1} e_ctzknow_z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2}-.0560719{col 26}{space 2} .0233455{col 37}{space 1}   -2.40{col 46}{space 3}0.017{col 54}{space 4}-.1021279{col 67}{space 3}-.0100158
{txt}{space 1}b_ctzknow_z {c |}{col 14}{res}{space 2} .0544571{col 26}{space 2} .0105885{col 37}{space 1}    5.14{col 46}{space 3}0.000{col 54}{space 4} .0335681{col 67}{space 3} .0753462
{txt}b_ctzknow_~d {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 1}c_tfull_hc2 {c |}{col 14}{res}{space 2}-.1996742{col 26}{space 2}  .041808{col 37}{space 1}   -4.78{col 46}{space 3}0.000{col 54}{space 4}-.2821531{col 67}{space 3}-.1171953
{txt}c_tfull_b_~l {c |}{col 14}{res}{space 2} .1691756{col 26}{space 2} .0478994{col 37}{space 1}    3.53{col 46}{space 3}0.001{col 54}{space 4} .0746798{col 67}{space 3} .2636715
{txt}c_tfull_b_~s {c |}{col 14}{res}{space 2} .1079543{col 26}{space 2} .0505401{col 37}{space 1}    2.14{col 46}{space 3}0.034{col 54}{space 4} .0082487{col 67}{space 3} .2076598
{txt}c_tfull_b_~d {c |}{col 14}{res}{space 2}  .115263{col 26}{space 2} .0385188{col 37}{space 1}    2.99{col 46}{space 3}0.003{col 54}{space 4}  .039273{col 67}{space 3}  .191253
{txt}c_tfull_ed~r {c |}{col 14}{res}{space 2} .0165274{col 26}{space 2} .0025491{col 37}{space 1}    6.48{col 46}{space 3}0.000{col 54}{space 4} .0114985{col 67}{space 3} .0215562
{txt}c_tfull_b_~x {c |}{col 14}{res}{space 2} .0540408{col 26}{space 2} .0114466{col 37}{space 1}    4.72{col 46}{space 3}0.000{col 54}{space 4} .0314589{col 67}{space 3} .0766226
{txt}c_trea~l_hc2 {c |}{col 14}{res}{space 2} .0312004{col 26}{space 2} .0523147{col 37}{space 1}    0.60{col 46}{space 3}0.552{col 54}{space 4} -.072006{col 67}{space 3} .1344068
{txt}c_treatful.. {c |}{col 14}{res}{space 2}-.0863542{col 26}{space 2} .0603486{col 37}{space 1}   -1.43{col 46}{space 3}0.154{col 54}{space 4}-.2054098{col 67}{space 3} .0327014
{txt}c_treatful.. {c |}{col 14}{res}{space 2}-.0469686{col 26}{space 2} .0745548{col 37}{space 1}   -0.63{col 46}{space 3}0.529{col 54}{space 4}-.1940502{col 67}{space 3} .1001131
{txt}c_treatful.. {c |}{col 14}{res}{space 2} .0831523{col 26}{space 2} .0597702{col 37}{space 1}    1.39{col 46}{space 3}0.166{col 54}{space 4}-.0347623{col 67}{space 3} .2010669
{txt}c_treatful.. {c |}{col 14}{res}{space 2} -.004101{col 26}{space 2} .0039689{col 37}{space 1}   -1.03{col 46}{space 3}0.303{col 54}{space 4}-.0119308{col 67}{space 3} .0037288
{txt}c_treatful.. {c |}{col 14}{res}{space 2} .0057055{col 26}{space 2}  .015943{col 37}{space 1}    0.36{col 46}{space 3}0.721{col 54}{space 4}-.0257469{col 67}{space 3} .0371579
{txt}{space 7}_cons {c |}{col 14}{res}{space 2}-.0089507{col 26}{space 2} .0156941{col 37}{space 1}   -0.57{col 46}{space 3}0.569{col 54}{space 4}-.0399121{col 67}{space 3} .0220106
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull = 0{p_end}

{txt}       F(  1,   186) ={res}    5.77
{txt}{col 13}Prob > F ={res}    0.0173

{txt}added scalar:
            e(f_walde) =  {res}.017
{txt}note: b_eff_z_d omitted because of collinearity
{res}
{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}     7,288
{txt}{col 49}F({res}  14{txt},{res}    186{txt}){col 67}= {res}      8.05
{txt}{col 49}Prob > F{col 67}= {res}    0.0000
{txt}{col 49}R-squared{col 67}= {res}    0.0451
{txt}{col 49}Adj R-squared{col 67}= {res}    0.0413
{txt}{col 49}Root MSE{col 67}= {res}    0.6190

{txt}{ralign 78:(Std. Err. adjusted for {res:187} clusters in hc_id)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}     e_eff_z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2}-.0219237{col 26}{space 2} .0230844{col 37}{space 1}   -0.95{col 46}{space 3}0.343{col 54}{space 4}-.0674646{col 67}{space 3} .0236172
{txt}{space 5}b_eff_z {c |}{col 14}{res}{space 2} .0596866{col 26}{space 2} .0114963{col 37}{space 1}    5.19{col 46}{space 3}0.000{col 54}{space 4} .0370067{col 67}{space 3} .0823665
{txt}{space 3}b_eff_z_d {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 1}c_tfull_hc2 {c |}{col 14}{res}{space 2} .0456099{col 26}{space 2} .0374674{col 37}{space 1}    1.22{col 46}{space 3}0.225{col 54}{space 4}-.0283059{col 67}{space 3} .1195257
{txt}c_tfull_b_~l {c |}{col 14}{res}{space 2} .0794216{col 26}{space 2} .0487212{col 37}{space 1}    1.63{col 46}{space 3}0.105{col 54}{space 4}-.0166956{col 67}{space 3} .1755389
{txt}c_tfull_b_~s {c |}{col 14}{res}{space 2} .0053469{col 26}{space 2} .0540837{col 37}{space 1}    0.10{col 46}{space 3}0.921{col 54}{space 4}-.1013494{col 67}{space 3} .1120432
{txt}c_tfull_b_~d {c |}{col 14}{res}{space 2} .0000981{col 26}{space 2} .0458753{col 37}{space 1}    0.00{col 46}{space 3}0.998{col 54}{space 4}-.0904047{col 67}{space 3} .0906009
{txt}c_tfull_ed~r {c |}{col 14}{res}{space 2} .0113794{col 26}{space 2} .0026158{col 37}{space 1}    4.35{col 46}{space 3}0.000{col 54}{space 4}  .006219{col 67}{space 3} .0165398
{txt}c_tfull_b_~x {c |}{col 14}{res}{space 2} .0488718{col 26}{space 2} .0126399{col 37}{space 1}    3.87{col 46}{space 3}0.000{col 54}{space 4} .0239357{col 67}{space 3} .0738078
{txt}c_trea~l_hc2 {c |}{col 14}{res}{space 2}-.0490677{col 26}{space 2} .0503012{col 37}{space 1}   -0.98{col 46}{space 3}0.331{col 54}{space 4} -.148302{col 67}{space 3} .0501666
{txt}c_treatful.. {c |}{col 14}{res}{space 2}-.1331137{col 26}{space 2}   .05865{col 37}{space 1}   -2.27{col 46}{space 3}0.024{col 54}{space 4}-.2488185{col 67}{space 3}-.0174089
{txt}c_treatful.. {c |}{col 14}{res}{space 2}-.0048904{col 26}{space 2} .0721199{col 37}{space 1}   -0.07{col 46}{space 3}0.946{col 54}{space 4}-.1471686{col 67}{space 3} .1373878
{txt}c_treatful.. {c |}{col 14}{res}{space 2} .0809948{col 26}{space 2} .0651267{col 37}{space 1}    1.24{col 46}{space 3}0.215{col 54}{space 4}-.0474872{col 67}{space 3} .2094769
{txt}c_treatful.. {c |}{col 14}{res}{space 2}-.0052151{col 26}{space 2} .0037607{col 37}{space 1}   -1.39{col 46}{space 3}0.167{col 54}{space 4}-.0126343{col 67}{space 3} .0022041
{txt}c_treatful.. {c |}{col 14}{res}{space 2}-.0187058{col 26}{space 2} .0172718{col 37}{space 1}   -1.08{col 46}{space 3}0.280{col 54}{space 4}-.0527797{col 67}{space 3}  .015368
{txt}{space 7}_cons {c |}{col 14}{res}{space 2}-.0016422{col 26}{space 2} .0153673{col 37}{space 1}   -0.11{col 46}{space 3}0.915{col 54}{space 4}-.0319588{col 67}{space 3} .0286745
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull = 0{p_end}

{txt}       F(  1,   186) ={res}    0.90
{txt}{col 13}Prob > F ={res}    0.3435

{txt}added scalar:
            e(f_walde) =  {res}.343
{txt}note: b_commresp_z_d omitted because of collinearity
{res}
{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}     7,288
{txt}{col 49}F({res}  14{txt},{res}    186{txt}){col 67}= {res}      7.68
{txt}{col 49}Prob > F{col 67}= {res}    0.0000
{txt}{col 49}R-squared{col 67}= {res}    0.0535
{txt}{col 49}Adj R-squared{col 67}= {res}    0.0497
{txt}{col 49}Root MSE{col 67}= {res}    0.7234

{txt}{ralign 78:(Std. Err. adjusted for {res:187} clusters in hc_id)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}e_commresp_z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2}-.0124472{col 26}{space 2} .0201881{col 37}{space 1}   -0.62{col 46}{space 3}0.538{col 54}{space 4}-.0522742{col 67}{space 3} .0273798
{txt}b_commresp_z {c |}{col 14}{res}{space 2} .0675228{col 26}{space 2}  .011926{col 37}{space 1}    5.66{col 46}{space 3}0.000{col 54}{space 4} .0439951{col 67}{space 3} .0910504
{txt}b_commresp~d {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 1}c_tfull_hc2 {c |}{col 14}{res}{space 2} .0807729{col 26}{space 2} .0374389{col 37}{space 1}    2.16{col 46}{space 3}0.032{col 54}{space 4} .0069135{col 67}{space 3} .1546322
{txt}c_tfull_b_~l {c |}{col 14}{res}{space 2} .0263128{col 26}{space 2}  .045207{col 37}{space 1}    0.58{col 46}{space 3}0.561{col 54}{space 4}-.0628715{col 67}{space 3} .1154971
{txt}c_tfull_b_~s {c |}{col 14}{res}{space 2} .0726373{col 26}{space 2} .0388668{col 37}{space 1}    1.87{col 46}{space 3}0.063{col 54}{space 4}-.0040391{col 67}{space 3} .1493137
{txt}c_tfull_b_~d {c |}{col 14}{res}{space 2} .0114548{col 26}{space 2} .0537486{col 37}{space 1}    0.21{col 46}{space 3}0.831{col 54}{space 4}-.0945805{col 67}{space 3} .1174901
{txt}c_tfull_ed~r {c |}{col 14}{res}{space 2} .0058457{col 26}{space 2} .0026343{col 37}{space 1}    2.22{col 46}{space 3}0.028{col 54}{space 4} .0006489{col 67}{space 3} .0110426
{txt}c_tfull_b_~x {c |}{col 14}{res}{space 2} .0423985{col 26}{space 2} .0140744{col 37}{space 1}    3.01{col 46}{space 3}0.003{col 54}{space 4} .0146325{col 67}{space 3} .0701646
{txt}c_trea~l_hc2 {c |}{col 14}{res}{space 2} .0326363{col 26}{space 2} .0499356{col 37}{space 1}    0.65{col 46}{space 3}0.514{col 54}{space 4}-.0658766{col 67}{space 3} .1311493
{txt}c_treatful.. {c |}{col 14}{res}{space 2} .0076204{col 26}{space 2} .0557696{col 37}{space 1}    0.14{col 46}{space 3}0.891{col 54}{space 4}-.1024019{col 67}{space 3} .1176427
{txt}c_treatful.. {c |}{col 14}{res}{space 2}-.0358925{col 26}{space 2} .0462659{col 37}{space 1}   -0.78{col 46}{space 3}0.439{col 54}{space 4}-.1271659{col 67}{space 3} .0553808
{txt}c_treatful.. {c |}{col 14}{res}{space 2}-.0340861{col 26}{space 2} .0711937{col 37}{space 1}   -0.48{col 46}{space 3}0.633{col 54}{space 4} -.174537{col 67}{space 3} .1063649
{txt}c_treatful.. {c |}{col 14}{res}{space 2} .0050389{col 26}{space 2} .0045091{col 37}{space 1}    1.12{col 46}{space 3}0.265{col 54}{space 4}-.0038567{col 67}{space 3} .0139346
{txt}c_treatful.. {c |}{col 14}{res}{space 2} -.002245{col 26}{space 2} .0187577{col 37}{space 1}   -0.12{col 46}{space 3}0.905{col 54}{space 4}-.0392502{col 67}{space 3} .0347602
{txt}{space 7}_cons {c |}{col 14}{res}{space 2}-.0021831{col 26}{space 2} .0138587{col 37}{space 1}   -0.16{col 46}{space 3}0.875{col 54}{space 4}-.0295235{col 67}{space 3} .0251573
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull = 0{p_end}

{txt}       F(  1,   186) ={res}    0.38
{txt}{col 13}Prob > F ={res}    0.5383

{txt}added scalar:
            e(f_walde) =  {res}.538
{txt}note: b_relhhhc_z_d omitted because of collinearity
{res}
{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}     7,288
{txt}{col 49}F({res}  14{txt},{res}    186{txt}){col 67}= {res}      3.93
{txt}{col 49}Prob > F{col 67}= {res}    0.0000
{txt}{col 49}R-squared{col 67}= {res}    0.0468
{txt}{col 49}Adj R-squared{col 67}= {res}    0.0430
{txt}{col 49}Root MSE{col 67}= {res}    0.5404

{txt}{ralign 78:(Std. Err. adjusted for {res:187} clusters in hc_id)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1} e_relhhhc_z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2} .0397798{col 26}{space 2} .0388133{col 37}{space 1}    1.02{col 46}{space 3}0.307{col 54}{space 4} -.036791{col 67}{space 3} .1163506
{txt}{space 1}b_relhhhc_z {c |}{col 14}{res}{space 2} .0970355{col 26}{space 2} .0183079{col 37}{space 1}    5.30{col 46}{space 3}0.000{col 54}{space 4} .0609177{col 67}{space 3} .1331533
{txt}b_relhhhc_~d {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 1}c_tfull_hc2 {c |}{col 14}{res}{space 2} .0830998{col 26}{space 2} .0753903{col 37}{space 1}    1.10{col 46}{space 3}0.272{col 54}{space 4}-.0656302{col 67}{space 3} .2318299
{txt}c_tfull_b_~l {c |}{col 14}{res}{space 2} .0539957{col 26}{space 2} .0852405{col 37}{space 1}    0.63{col 46}{space 3}0.527{col 54}{space 4}-.1141668{col 67}{space 3} .2221582
{txt}c_tfull_b_~s {c |}{col 14}{res}{space 2}-.0143133{col 26}{space 2} .1169484{col 37}{space 1}   -0.12{col 46}{space 3}0.903{col 54}{space 4}-.2450291{col 67}{space 3} .2164025
{txt}c_tfull_b_~d {c |}{col 14}{res}{space 2} .1062338{col 26}{space 2} .0359569{col 37}{space 1}    2.95{col 46}{space 3}0.004{col 54}{space 4}  .035298{col 67}{space 3} .1771696
{txt}c_tfull_ed~r {c |}{col 14}{res}{space 2} .0013811{col 26}{space 2} .0030701{col 37}{space 1}    0.45{col 46}{space 3}0.653{col 54}{space 4}-.0046756{col 67}{space 3} .0074379
{txt}c_tfull_b_~x {c |}{col 14}{res}{space 2} -.001922{col 26}{space 2} .0169817{col 37}{space 1}   -0.11{col 46}{space 3}0.910{col 54}{space 4}-.0354234{col 67}{space 3} .0315795
{txt}c_trea~l_hc2 {c |}{col 14}{res}{space 2}-.0901443{col 26}{space 2}  .090385{col 37}{space 1}   -1.00{col 46}{space 3}0.320{col 54}{space 4}-.2684559{col 67}{space 3} .0881673
{txt}c_treatful.. {c |}{col 14}{res}{space 2} -.106867{col 26}{space 2}   .09599{col 37}{space 1}   -1.11{col 46}{space 3}0.267{col 54}{space 4} -.296236{col 67}{space 3}  .082502
{txt}c_treatful.. {c |}{col 14}{res}{space 2} .1364586{col 26}{space 2}  .113666{col 37}{space 1}    1.20{col 46}{space 3}0.231{col 54}{space 4}-.0877817{col 67}{space 3}  .360699
{txt}c_treatful.. {c |}{col 14}{res}{space 2}-.0523522{col 26}{space 2} .0540546{col 37}{space 1}   -0.97{col 46}{space 3}0.334{col 54}{space 4}-.1589912{col 67}{space 3} .0542867
{txt}c_treatful.. {c |}{col 14}{res}{space 2}-.0055561{col 26}{space 2} .0039364{col 37}{space 1}   -1.41{col 46}{space 3}0.160{col 54}{space 4}-.0133218{col 67}{space 3} .0022096
{txt}c_treatful.. {c |}{col 14}{res}{space 2}  .022563{col 26}{space 2} .0222554{col 37}{space 1}    1.01{col 46}{space 3}0.312{col 54}{space 4}-.0213426{col 67}{space 3} .0664685
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} .0039083{col 26}{space 2} .0275339{col 37}{space 1}    0.14{col 46}{space 3}0.887{col 54}{space 4}-.0504106{col 67}{space 3} .0582272
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull = 0{p_end}

{txt}       F(  1,   186) ={res}    1.05
{txt}{col 13}Prob > F ={res}    0.3067

{txt}added scalar:
            e(f_walde) =  {res}.307
{txt}
{com}.                 
.         local y = 5
{txt}
{com}.         foreach x in `intermediate_hclevel' {c -(}
{txt}  2{com}.                 areg  e_`x' `var' b_`x' b_`x'_d `e_controls_tfull_hc' ``var'_hc_int_e_controls' if uniquehc == 1, robust a(district)
{txt}  3{com}.                 
.                 local p_`y' = (2 * ttail(e(df_r), abs(_b[`var']/_se[`var'])))
{txt}  4{com}.                 
.                 estimates store m`y'
{txt}  5{com}.                 
.                 test treatfull = 0
{txt}  6{com}.                 local f_walde_`x' = string(`r(p)',"%9.3fc")
{txt}  7{com}.                 
.                 estadd scalar f_walde = `f_walde_`x''
{txt}  8{com}.                 
.                 local y = `y' + 1
{txt}  9{com}.                 {c )-}
{p 0 6 2}{txt}note: b_h_hcpknow_z_d omitted because of collinearity{p_end}
{res}
{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}       187
{txt}{col 49}F({res}  14{txt},{res}    157{txt}){col 67}= {res}      2.65
{txt}{col 49}Prob > F{col 67}= {res}    0.0017
{txt}{col 49}R-squared{col 67}= {res}    0.2756
{txt}{col 49}Adj R-squared{col 67}= {res}    0.1418
{txt}{col 49}Root MSE{col 67}= {res}    0.8033

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}e_h_hcpkno~z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2} .1714377{col 26}{space 2}  .120769{col 37}{space 1}    1.42{col 46}{space 3}0.158{col 54}{space 4}-.0671039{col 67}{space 3} .4099793
{txt}b_h_hcpkno~z {c |}{col 14}{res}{space 2}  .054997{col 26}{space 2} .0852053{col 37}{space 1}    0.65{col 46}{space 3}0.520{col 54}{space 4}-.1132996{col 67}{space 3} .2232937
{txt}b_h_hcpkno~d {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
c_tf~_hc_hc2 {c |}{col 14}{res}{space 2}-.2936552{col 26}{space 2} .2234489{col 37}{space 1}   -1.31{col 46}{space 3}0.191{col 54}{space 4}-.7350091{col 67}{space 3} .1476987
{txt}c_tfull_hc~l {c |}{col 14}{res}{space 2} .0447706{col 26}{space 2} .2478513{col 37}{space 1}    0.18{col 46}{space 3}0.857{col 54}{space 4}-.4447826{col 67}{space 3} .5343237
{txt}c_tfull_hc~s {c |}{col 14}{res}{space 2} .7343234{col 26}{space 2} .2546233{col 37}{space 1}    2.88{col 46}{space 3}0.004{col 54}{space 4} .2313941{col 67}{space 3} 1.237253
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2} .2400758{col 26}{space 2} .8114514{col 37}{space 1}    0.30{col 46}{space 3}0.768{col 54}{space 4}-1.362694{col 67}{space 3} 1.842846
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2}-.0483657{col 26}{space 2} .0797291{col 37}{space 1}   -0.61{col 46}{space 3}0.545{col 54}{space 4}-.2058457{col 67}{space 3} .1091142
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2} .1564611{col 26}{space 2} .2633217{col 37}{space 1}    0.59{col 46}{space 3}0.553{col 54}{space 4} -.363649{col 67}{space 3} .6765712
{txt}c_treatful.. {c |}{col 14}{res}{space 2}-.0420162{col 26}{space 2} .3024929{col 37}{space 1}   -0.14{col 46}{space 3}0.890{col 54}{space 4}-.6394969{col 67}{space 3} .5554644
{txt}c_treatful.. {c |}{col 14}{res}{space 2} .3133151{col 26}{space 2} .3244546{col 37}{space 1}    0.97{col 46}{space 3}0.336{col 54}{space 4}-.3275441{col 67}{space 3} .9541744
{txt}c_treatful.. {c |}{col 14}{res}{space 2}-.6615917{col 26}{space 2} .3326143{col 37}{space 1}   -1.99{col 46}{space 3}0.048{col 54}{space 4}-1.318568{col 67}{space 3}-.0046156
{txt}c_treatful.. {c |}{col 14}{res}{space 2} 1.076339{col 26}{space 2} 1.212186{col 37}{space 1}    0.89{col 46}{space 3}0.376{col 54}{space 4}-1.317957{col 67}{space 3} 3.470636
{txt}c_treatful.. {c |}{col 14}{res}{space 2} .0460699{col 26}{space 2} .1322924{col 37}{space 1}    0.35{col 46}{space 3}0.728{col 54}{space 4}-.2152327{col 67}{space 3} .3073724
{txt}c_treatful.. {c |}{col 14}{res}{space 2} .0891063{col 26}{space 2} .3548798{col 37}{space 1}    0.25{col 46}{space 3}0.802{col 54}{space 4}-.6118483{col 67}{space 3}  .790061
{txt}{space 7}_cons {c |}{col 14}{res}{space 2}-.0160752{col 26}{space 2} .0796911{col 37}{space 1}   -0.20{col 46}{space 3}0.840{col 54}{space 4}-.1734802{col 67}{space 3} .1413297
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull = 0{p_end}

{txt}       F(  1,   157) ={res}    2.02
{txt}{col 13}Prob > F ={res}    0.1577

{txt}added scalar:
            e(f_walde) =  {res}.158
{p 0 6 2}{txt}note: b_h_hctrans_z_d omitted because of collinearity{p_end}
{res}
{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}       187
{txt}{col 49}F({res}  14{txt},{res}    157{txt}){col 67}= {res}      8.25
{txt}{col 49}Prob > F{col 67}= {res}    0.0000
{txt}{col 49}R-squared{col 67}= {res}    0.4814
{txt}{col 49}Adj R-squared{col 67}= {res}    0.3856
{txt}{col 49}Root MSE{col 67}= {res}    0.5148

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}e_h_hctran~z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2} .0066854{col 26}{space 2} .0759779{col 37}{space 1}    0.09{col 46}{space 3}0.930{col 54}{space 4}-.1433853{col 67}{space 3}  .156756
{txt}b_h_hctran~z {c |}{col 14}{res}{space 2} .1650923{col 26}{space 2} .0906538{col 37}{space 1}    1.82{col 46}{space 3}0.070{col 54}{space 4}-.0139661{col 67}{space 3} .3441507
{txt}b_h_hctran~d {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
c_tf~_hc_hc2 {c |}{col 14}{res}{space 2}-.5013927{col 26}{space 2} .1850285{col 37}{space 1}   -2.71{col 46}{space 3}0.007{col 54}{space 4}-.8668589{col 67}{space 3}-.1359265
{txt}c_tfull_hc~l {c |}{col 14}{res}{space 2} .0205472{col 26}{space 2} .1507524{col 37}{space 1}    0.14{col 46}{space 3}0.892{col 54}{space 4}-.2772173{col 67}{space 3} .3183116
{txt}c_tfull_hc~s {c |}{col 14}{res}{space 2} .1479767{col 26}{space 2} .1664311{col 37}{space 1}    0.89{col 46}{space 3}0.375{col 54}{space 4}-.1807562{col 67}{space 3} .4767096
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2}  .154435{col 26}{space 2} .2983539{col 37}{space 1}    0.52{col 46}{space 3}0.605{col 54}{space 4}-.4348704{col 67}{space 3} .7437404
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2} .0138824{col 26}{space 2} .0595909{col 37}{space 1}    0.23{col 46}{space 3}0.816{col 54}{space 4}-.1038209{col 67}{space 3} .1315857
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2} .0156507{col 26}{space 2} .1761582{col 37}{space 1}    0.09{col 46}{space 3}0.929{col 54}{space 4}-.3322952{col 67}{space 3} .3635965
{txt}c_treatful.. {c |}{col 14}{res}{space 2} .0218084{col 26}{space 2}  .232442{col 37}{space 1}    0.09{col 46}{space 3}0.925{col 54}{space 4}-.4373084{col 67}{space 3} .4809252
{txt}c_treatful.. {c |}{col 14}{res}{space 2} .4522519{col 26}{space 2} .1795321{col 37}{space 1}    2.52{col 46}{space 3}0.013{col 54}{space 4} .0976421{col 67}{space 3} .8068618
{txt}c_treatful.. {c |}{col 14}{res}{space 2}-.0730731{col 26}{space 2}   .22435{col 37}{space 1}   -0.33{col 46}{space 3}0.745{col 54}{space 4}-.5162068{col 67}{space 3} .3700606
{txt}c_treatful.. {c |}{col 14}{res}{space 2} -1.65775{col 26}{space 2} .7065398{col 37}{space 1}   -2.35{col 46}{space 3}0.020{col 54}{space 4}  -3.0533{col 67}{space 3}-.2622006
{txt}c_treatful.. {c |}{col 14}{res}{space 2} .0066897{col 26}{space 2}  .085823{col 37}{space 1}    0.08{col 46}{space 3}0.938{col 54}{space 4}-.1628269{col 67}{space 3} .1762063
{txt}c_treatful.. {c |}{col 14}{res}{space 2} .2849917{col 26}{space 2} .2551493{col 37}{space 1}    1.12{col 46}{space 3}0.266{col 54}{space 4}-.2189765{col 67}{space 3}   .78896
{txt}{space 7}_cons {c |}{col 14}{res}{space 2}-.0060668{col 26}{space 2} .0531576{col 37}{space 1}   -0.11{col 46}{space 3}0.909{col 54}{space 4} -.111063{col 67}{space 3} .0989294
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull = 0{p_end}

{txt}       F(  1,   157) ={res}    0.01
{txt}{col 13}Prob > F ={res}    0.9300

{txt}added scalar:
            e(f_walde) =  {res}.93
{txt}
{com}.         
.         * We create the adjusted p-value following the Benjamini-Hochberg methodology 
.         
.         local y = `y' - 1
{txt}
{com}.         
.         local ps `p_1'
{txt}
{com}.         forvalues x = 2/`y' {c -(}
{txt}  2{com}.                 local ps `ps' \ `p_`x''
{txt}  3{com}.                 {c )-}
{txt}
{com}. 
.         matrix mat = (`ps')
{txt}
{com}.                 
.         * We need to rank the p-value, transpose it and transfer it to local
.         
.         matsort mat 1 "up"
{txt}
{com}.         
.         mat ps_mat = mat'
{txt}
{com}.         
.         mat list ps_mat
{res}
{txt}ps_mat[1,6]
           r1         r5         r4         r2
c1 {res} .01729783  .15772105  .30674078   .3434869

{txt}           r3         r6
c1 {res} .53827676  .92999599
{reset}
{com}.         
.         local ps_rank
{txt}
{com}.         
.         forvalues z = 1/`y' {c -(}
{txt}  2{com}.                 local x = ps_mat[1,`z']
{txt}  3{com}.                 local ps_rank `ps_rank' `x'
{txt}  4{com}.                 {c )-}
{txt}
{com}.                 
.         di "`ps_rank'"
{res}.0172978307479042 .157721046010895 .3067407800179951 .3434868952962747 .538276755477944 .9299959910654286
{txt}
{com}.         
.         * We count the number of tests (numerator)
.         
.         local num_p = `y'
{txt}
{com}.         
.         * We calculate the BH value
.         
.         local z = 0
{txt}
{com}.         foreach i of local ps_rank {c -(}
{txt}  2{com}.                 local z = `z' + 1 
{txt}  3{com}.                 local adj_p`z' = (`i' * `num_p') / `z'
{txt}  4{com}.                 {c )-}
{txt}
{com}.                 
.         * We compare it according to the rank and eventually replace it
.         
.         forvalues r = 1/`y' {c -(}
{txt}  2{com}.         local d = `y' - 1
{txt}  3{com}.         forvalues z = 1/`d' {c -(}
{txt}  4{com}.                 local v = `z' + 1
{txt}  5{com}.                         if `adj_p`z'' >= `adj_p`v'' {c -(}
{txt}  6{com}.                                 local adj_p`z' `adj_p`v''
{txt}  7{com}.                                 {c )-}
{txt}  8{com}.                         {c )-}
{txt}  9{com}.                         {c )-}
{txt}
{com}.         
.         * We store it in the estimator
.         
.         local z = 0
{txt}
{com}.         foreach i of local ps_rank {c -(}
{txt}  2{com}.                 local z = `z' + 1 
{txt}  3{com}.                 forvalues j = 1/`y' {c -(}
{txt}  4{com}.                         if `i' == `p_`j'' {c -(} 
{txt}  5{com}.                         estimates restore m`j'
{txt}  6{com}.                         estadd scalar adj_p = `adj_p`z''
{txt}  7{com}.                         {c )-}
{txt}  8{com}.                 {c )-}
{txt}  9{com}.                 {c )-}       
{txt}(results {stata estimates replay m1:m1} are active now)

added scalar:
              e(adj_p) =  {res}.10378698
{txt}(results {stata estimates replay m5:m5} are active now)

added scalar:
              e(adj_p) =  {res}.47316314
{txt}(results {stata estimates replay m4:m4} are active now)

added scalar:
              e(adj_p) =  {res}.51523034
{txt}(results {stata estimates replay m2:m2} are active now)

added scalar:
              e(adj_p) =  {res}.51523034
{txt}(results {stata estimates replay m3:m3} are active now)

added scalar:
              e(adj_p) =  {res}.64593211
{txt}(results {stata estimates replay m6:m6} are active now)

added scalar:
              e(adj_p) =  {res}.92999599
{txt}
{com}.                 
.         *****************************************
.         * Table Intermediate outcomes (endline) *
.         *****************************************
.         
.         coefplot (m1 \ m5 \ m3 \ m2 \ m6 \ m4), keep(`var') xline(0, lcolor(gray)) scheme(s1mono) mcolor(blue) mlcolor(blue) levels(95 90) ciopts(lcolor(blue blue) lwidth(medium thick)) grid(none) xtick(-.2 -.1 0 .1 .2 .3 .4) xlabel(-.2 -.1 0 .1 .2 .3 .4) aseq swapnames coeflabels(m1 = "Citizen knowledge" m5 = "HC staff knowledge" m2 = "Efficacy" m3 = "Community responsibility"  m4 = "Relationship" m6 = "HC transparency") note("Displaying 95% and 90% confidence intervals")
{res}{txt}
{com}.         qui graph export "${c -(}Figures{c )-}/Figure5.png", replace
{txt}
{com}.         
.         # delimit;
{txt}delimiter now ;
{com}.                 esttab m1 m5 m2 m3 m4 m6
>         using "${c -(}tables{c )-}/TableI15.tex", b(%5.3f) se(%5.3f)
>                 title(Intermediate outcomes -- Averaged z-score indices)
>                 keep(`var' _cons)
>                 varlabels (`var' "Full treatment" _cons "Constant")     
>                 starlevels(* .10 ** .05 *** .01)                
>                 mtitles("\textbf{c -(}\begin{c -(}tabular{c )-}[c]{c -(}@{c -(}{c )-}c@{c -(}{c )-}{c )-}Citizen\\knowledge\end{c -(}tabular{c )-}{c )-}"
>                                 "\textbf{c -(}\begin{c -(}tabular{c )-}[c]{c -(}@{c -(}{c )-}c@{c -(}{c )-}{c )-}HC staff\\knowledge\end{c -(}tabular{c )-}{c )-}"
>                                 "\textbf{c -(}\begin{c -(}tabular{c )-}[c]{c -(}@{c -(}{c )-}c@{c -(}{c )-}{c )-}Efficacy\end{c -(}tabular{c )-}{c )-}"
>                                 "\textbf{c -(}\begin{c -(}tabular{c )-}[c]{c -(}@{c -(}{c )-}c@{c -(}{c )-}{c )-}Community\\responsibility\end{c -(}tabular{c )-}{c )-}"
>                                 "\textbf{c -(}\begin{c -(}tabular{c )-}[c]{c -(}@{c -(}{c )-}c@{c -(}{c )-}{c )-}Relationship\end{c -(}tabular{c )-}{c )-}"
>                                 "\textbf{c -(}\begin{c -(}tabular{c )-}[c]{c -(}@{c -(}{c )-}c@{c -(}{c )-}{c )-}HC\\transparency\end{c -(}tabular{c )-}{c )-}")
>                 stats(N r2 f_walde adj_p, labels("N" "R$^{c -(}2{c )-}$" "P-value (Full treatment = 0)" "Adjusted p-value (FT)") fmt(%9.0fc %9.3fc)) label booktabs nonotes replace
>         
>         ;
{res}{txt}(output written to {browse  `"/Users/fredericcochinard/Dropbox/ACT_Health_JOP_replication_file/3.Tables and Figures/Tables/TableI15.tex"'})

{com}.                 # delimit cr
{txt}delimiter now cr
{com}.         
.         * We look in details to the component
. 
.         ***************************
.         * Table Citizen knowledge *
.         ***************************
.         
.         * At endline:
.         
.         eststo clear
{txt}
{com}.         
.         local y = 1
{txt}
{com}.         foreach x in `citizenknowledge' {c -(}
{txt}  2{com}.                 areg  e_`x' `var' b_`x' b_`x'_d `e_controls_tfull' ``var'_int_e_controls', robust cl(hc_id) a(district)
{txt}  3{com}.                 
.                 local p_`y' = (2 * ttail(e(df_r), abs(_b[`var']/_se[`var'])))
{txt}  4{com}.                 
.                 estimates store m`y'
{txt}  5{com}.                 local y = `y' + 1
{txt}  6{com}.                 {c )-}
{txt}note: b_ctzknow_z_d omitted because of collinearity
{res}
{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}     7,288
{txt}{col 49}F({res}  14{txt},{res}    186{txt}){col 67}= {res}     25.20
{txt}{col 49}Prob > F{col 67}= {res}    0.0000
{txt}{col 49}R-squared{col 67}= {res}    0.2052
{txt}{col 49}Adj R-squared{col 67}= {res}    0.2021
{txt}{col 49}Root MSE{col 67}= {res}    0.6141

{txt}{ralign 78:(Std. Err. adjusted for {res:187} clusters in hc_id)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1} e_ctzknow_z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2}-.0560719{col 26}{space 2} .0233455{col 37}{space 1}   -2.40{col 46}{space 3}0.017{col 54}{space 4}-.1021279{col 67}{space 3}-.0100158
{txt}{space 1}b_ctzknow_z {c |}{col 14}{res}{space 2} .0544571{col 26}{space 2} .0105885{col 37}{space 1}    5.14{col 46}{space 3}0.000{col 54}{space 4} .0335681{col 67}{space 3} .0753462
{txt}b_ctzknow_~d {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 1}c_tfull_hc2 {c |}{col 14}{res}{space 2}-.1996742{col 26}{space 2}  .041808{col 37}{space 1}   -4.78{col 46}{space 3}0.000{col 54}{space 4}-.2821531{col 67}{space 3}-.1171953
{txt}c_tfull_b_~l {c |}{col 14}{res}{space 2} .1691756{col 26}{space 2} .0478994{col 37}{space 1}    3.53{col 46}{space 3}0.001{col 54}{space 4} .0746798{col 67}{space 3} .2636715
{txt}c_tfull_b_~s {c |}{col 14}{res}{space 2} .1079543{col 26}{space 2} .0505401{col 37}{space 1}    2.14{col 46}{space 3}0.034{col 54}{space 4} .0082487{col 67}{space 3} .2076598
{txt}c_tfull_b_~d {c |}{col 14}{res}{space 2}  .115263{col 26}{space 2} .0385188{col 37}{space 1}    2.99{col 46}{space 3}0.003{col 54}{space 4}  .039273{col 67}{space 3}  .191253
{txt}c_tfull_ed~r {c |}{col 14}{res}{space 2} .0165274{col 26}{space 2} .0025491{col 37}{space 1}    6.48{col 46}{space 3}0.000{col 54}{space 4} .0114985{col 67}{space 3} .0215562
{txt}c_tfull_b_~x {c |}{col 14}{res}{space 2} .0540408{col 26}{space 2} .0114466{col 37}{space 1}    4.72{col 46}{space 3}0.000{col 54}{space 4} .0314589{col 67}{space 3} .0766226
{txt}c_trea~l_hc2 {c |}{col 14}{res}{space 2} .0312004{col 26}{space 2} .0523147{col 37}{space 1}    0.60{col 46}{space 3}0.552{col 54}{space 4} -.072006{col 67}{space 3} .1344068
{txt}c_treatful.. {c |}{col 14}{res}{space 2}-.0863542{col 26}{space 2} .0603486{col 37}{space 1}   -1.43{col 46}{space 3}0.154{col 54}{space 4}-.2054098{col 67}{space 3} .0327014
{txt}c_treatful.. {c |}{col 14}{res}{space 2}-.0469686{col 26}{space 2} .0745548{col 37}{space 1}   -0.63{col 46}{space 3}0.529{col 54}{space 4}-.1940502{col 67}{space 3} .1001131
{txt}c_treatful.. {c |}{col 14}{res}{space 2} .0831523{col 26}{space 2} .0597702{col 37}{space 1}    1.39{col 46}{space 3}0.166{col 54}{space 4}-.0347623{col 67}{space 3} .2010669
{txt}c_treatful.. {c |}{col 14}{res}{space 2} -.004101{col 26}{space 2} .0039689{col 37}{space 1}   -1.03{col 46}{space 3}0.303{col 54}{space 4}-.0119308{col 67}{space 3} .0037288
{txt}c_treatful.. {c |}{col 14}{res}{space 2} .0057055{col 26}{space 2}  .015943{col 37}{space 1}    0.36{col 46}{space 3}0.721{col 54}{space 4}-.0257469{col 67}{space 3} .0371579
{txt}{space 7}_cons {c |}{col 14}{res}{space 2}-.0089507{col 26}{space 2} .0156941{col 37}{space 1}   -0.57{col 46}{space 3}0.569{col 54}{space 4}-.0399121{col 67}{space 3} .0220106
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)
note: b_numrights_hh_z_d omitted because of collinearity
{res}
{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}     7,288
{txt}{col 49}F({res}  14{txt},{res}    186{txt}){col 67}= {res}     10.84
{txt}{col 49}Prob > F{col 67}= {res}    0.0000
{txt}{col 49}R-squared{col 67}= {res}    0.0911
{txt}{col 49}Adj R-squared{col 67}= {res}    0.0875
{txt}{col 49}Root MSE{col 67}= {res}    0.9414

{txt}{ralign 78:(Std. Err. adjusted for {res:187} clusters in hc_id)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}e_numright~z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2}-.0942336{col 26}{space 2} .0278262{col 37}{space 1}   -3.39{col 46}{space 3}0.001{col 54}{space 4}-.1491292{col 67}{space 3} -.039338
{txt}b_numright~z {c |}{col 14}{res}{space 2} .0668528{col 26}{space 2} .0141371{col 37}{space 1}    4.73{col 46}{space 3}0.000{col 54}{space 4} .0389631{col 67}{space 3} .0947425
{txt}b_numrig~z_d {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 1}c_tfull_hc2 {c |}{col 14}{res}{space 2} .0296913{col 26}{space 2} .0503344{col 37}{space 1}    0.59{col 46}{space 3}0.556{col 54}{space 4}-.0696084{col 67}{space 3} .1289911
{txt}c_tfull_b_~l {c |}{col 14}{res}{space 2} .0396187{col 26}{space 2} .0567172{col 37}{space 1}    0.70{col 46}{space 3}0.486{col 54}{space 4}-.0722729{col 67}{space 3} .1515104
{txt}c_tfull_b_~s {c |}{col 14}{res}{space 2}  .143033{col 26}{space 2} .0609465{col 37}{space 1}    2.35{col 46}{space 3}0.020{col 54}{space 4} .0227978{col 67}{space 3} .2632682
{txt}c_tfull_b_~d {c |}{col 14}{res}{space 2} -.018438{col 26}{space 2} .0615162{col 37}{space 1}   -0.30{col 46}{space 3}0.765{col 54}{space 4}-.1397971{col 67}{space 3} .1029211
{txt}c_tfull_ed~r {c |}{col 14}{res}{space 2}  .016948{col 26}{space 2} .0046616{col 37}{space 1}    3.64{col 46}{space 3}0.000{col 54}{space 4} .0077515{col 67}{space 3} .0261444
{txt}c_tfull_b_~x {c |}{col 14}{res}{space 2} .0823391{col 26}{space 2} .0179766{col 37}{space 1}    4.58{col 46}{space 3}0.000{col 54}{space 4} .0468749{col 67}{space 3} .1178034
{txt}c_trea~l_hc2 {c |}{col 14}{res}{space 2}  .018262{col 26}{space 2} .0679251{col 37}{space 1}    0.27{col 46}{space 3}0.788{col 54}{space 4}-.1157406{col 67}{space 3} .1522646
{txt}c_treatful.. {c |}{col 14}{res}{space 2} -.062073{col 26}{space 2} .0720814{col 37}{space 1}   -0.86{col 46}{space 3}0.390{col 54}{space 4}-.2042751{col 67}{space 3} .0801291
{txt}c_treatful.. {c |}{col 14}{res}{space 2}  -.16332{col 26}{space 2} .0718212{col 37}{space 1}   -2.27{col 46}{space 3}0.024{col 54}{space 4}-.3050088{col 67}{space 3}-.0216311
{txt}c_treatful.. {c |}{col 14}{res}{space 2}   .13583{col 26}{space 2} .0803137{col 37}{space 1}    1.69{col 46}{space 3}0.092{col 54}{space 4}-.0226128{col 67}{space 3} .2942728
{txt}c_treatful.. {c |}{col 14}{res}{space 2} .0006681{col 26}{space 2} .0063405{col 37}{space 1}    0.11{col 46}{space 3}0.916{col 54}{space 4}-.0118404{col 67}{space 3} .0131767
{txt}c_treatful.. {c |}{col 14}{res}{space 2}-.0093034{col 26}{space 2} .0247705{col 37}{space 1}   -0.38{col 46}{space 3}0.708{col 54}{space 4}-.0581707{col 67}{space 3} .0395639
{txt}{space 7}_cons {c |}{col 14}{res}{space 2}-.0088614{col 26}{space 2} .0188438{col 37}{space 1}   -0.47{col 46}{space 3}0.639{col 54}{space 4}-.0460365{col 67}{space 3} .0283137
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)
note: b_numresp_hh_z_d omitted because of collinearity
{res}
{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}     7,288
{txt}{col 49}F({res}  14{txt},{res}    186{txt}){col 67}= {res}     12.58
{txt}{col 49}Prob > F{col 67}= {res}    0.0000
{txt}{col 49}R-squared{col 67}= {res}    0.1657
{txt}{col 49}Adj R-squared{col 67}= {res}    0.1623
{txt}{col 49}Root MSE{col 67}= {res}    0.9107

{txt}{ralign 78:(Std. Err. adjusted for {res:187} clusters in hc_id)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}e_numresp_~z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2}-.1177329{col 26}{space 2} .0315059{col 37}{space 1}   -3.74{col 46}{space 3}0.000{col 54}{space 4}-.1798879{col 67}{space 3} -.055578
{txt}b_numresp_~z {c |}{col 14}{res}{space 2} .0447872{col 26}{space 2} .0116807{col 37}{space 1}    3.83{col 46}{space 3}0.000{col 54}{space 4} .0217435{col 67}{space 3} .0678309
{txt}b_numres~z_d {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 1}c_tfull_hc2 {c |}{col 14}{res}{space 2} .0373588{col 26}{space 2} .0640047{col 37}{space 1}    0.58{col 46}{space 3}0.560{col 54}{space 4}-.0889098{col 67}{space 3} .1636273
{txt}c_tfull_b_~l {c |}{col 14}{res}{space 2} .0405174{col 26}{space 2} .0688877{col 37}{space 1}    0.59{col 46}{space 3}0.557{col 54}{space 4}-.0953844{col 67}{space 3} .1764192
{txt}c_tfull_b_~s {c |}{col 14}{res}{space 2} .1138892{col 26}{space 2} .0831194{col 37}{space 1}    1.37{col 46}{space 3}0.172{col 54}{space 4}-.0500887{col 67}{space 3} .2778672
{txt}c_tfull_b_~d {c |}{col 14}{res}{space 2} .0742032{col 26}{space 2} .0580275{col 37}{space 1}    1.28{col 46}{space 3}0.203{col 54}{space 4}-.0402734{col 67}{space 3} .1886798
{txt}c_tfull_ed~r {c |}{col 14}{res}{space 2} .0221415{col 26}{space 2} .0039768{col 37}{space 1}    5.57{col 46}{space 3}0.000{col 54}{space 4}  .014296{col 67}{space 3}  .029987
{txt}c_tfull_b_~x {c |}{col 14}{res}{space 2} .0724668{col 26}{space 2} .0165279{col 37}{space 1}    4.38{col 46}{space 3}0.000{col 54}{space 4} .0398605{col 67}{space 3} .1050731
{txt}c_trea~l_hc2 {c |}{col 14}{res}{space 2} .0129152{col 26}{space 2} .0766866{col 37}{space 1}    0.17{col 46}{space 3}0.866{col 54}{space 4}-.1383721{col 67}{space 3} .1642024
{txt}c_treatful.. {c |}{col 14}{res}{space 2}-.0362422{col 26}{space 2} .0808991{col 37}{space 1}   -0.45{col 46}{space 3}0.655{col 54}{space 4}  -.19584{col 67}{space 3} .1233556
{txt}c_treatful.. {c |}{col 14}{res}{space 2}-.1021867{col 26}{space 2} .0886633{col 37}{space 1}   -1.15{col 46}{space 3}0.251{col 54}{space 4}-.2771017{col 67}{space 3} .0727283
{txt}c_treatful.. {c |}{col 14}{res}{space 2} .0368709{col 26}{space 2} .0875758{col 37}{space 1}    0.42{col 46}{space 3}0.674{col 54}{space 4}-.1358986{col 67}{space 3} .2096404
{txt}c_treatful.. {c |}{col 14}{res}{space 2}-.0062762{col 26}{space 2} .0054205{col 37}{space 1}   -1.16{col 46}{space 3}0.248{col 54}{space 4}-.0169698{col 67}{space 3} .0044174
{txt}c_treatful.. {c |}{col 14}{res}{space 2} .0053353{col 26}{space 2} .0222984{col 37}{space 1}    0.24{col 46}{space 3}0.811{col 54}{space 4} -.038655{col 67}{space 3} .0493256
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} -.014729{col 26}{space 2} .0239124{col 37}{space 1}   -0.62{col 46}{space 3}0.539{col 54}{space 4}-.0619033{col 67}{space 3} .0324454
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{com}.                 
.         local y = 4
{txt}
{com}.         foreach x in `citizenknowledge_nobaseline' {c -(}
{txt}  2{com}.                 areg  e_`x' `var' `e_controls_tfull' ``var'_int_e_controls', robust cl(hc_id) a(district)
{txt}  3{com}.                 
.                 local p_`y' = (2 * ttail(e(df_r), abs(_b[`var']/_se[`var'])))
{txt}  4{com}.                 
.                 estimates store m`y'
{txt}  5{com}.                 {c )-}

{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}     7,288
{txt}{col 49}F({res}  13{txt},{res}    186{txt}){col 67}= {res}     64.01
{txt}{col 49}Prob > F{col 67}= {res}    0.0000
{txt}{col 49}R-squared{col 67}= {res}    0.2857
{txt}{col 49}Adj R-squared{col 67}= {res}    0.2829
{txt}{col 49}Root MSE{col 67}= {res}    0.8356

{txt}{ralign 78:(Std. Err. adjusted for {res:187} clusters in hc_id)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}e_services~z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2} .0424829{col 26}{space 2}  .036518{col 37}{space 1}    1.16{col 46}{space 3}0.246{col 54}{space 4}-.0295598{col 67}{space 3} .1145255
{txt}{space 1}c_tfull_hc2 {c |}{col 14}{res}{space 2}-.6617011{col 26}{space 2} .0615568{col 37}{space 1}  -10.75{col 46}{space 3}0.000{col 54}{space 4}-.7831403{col 67}{space 3}-.5402618
{txt}c_tfull_b_~l {c |}{col 14}{res}{space 2} .4279508{col 26}{space 2} .0778053{col 37}{space 1}    5.50{col 46}{space 3}0.000{col 54}{space 4} .2744565{col 67}{space 3} .5814452
{txt}c_tfull_b_~s {c |}{col 14}{res}{space 2} .0708715{col 26}{space 2} .0771613{col 37}{space 1}    0.92{col 46}{space 3}0.360{col 54}{space 4}-.0813523{col 67}{space 3} .2230953
{txt}c_tfull_b_~d {c |}{col 14}{res}{space 2} .2953825{col 26}{space 2} .0780091{col 37}{space 1}    3.79{col 46}{space 3}0.000{col 54}{space 4} .1414861{col 67}{space 3} .4492789
{txt}c_tfull_ed~r {c |}{col 14}{res}{space 2} .0118558{col 26}{space 2} .0038989{col 37}{space 1}    3.04{col 46}{space 3}0.003{col 54}{space 4}  .004164{col 67}{space 3} .0195475
{txt}c_tfull_b_~x {c |}{col 14}{res}{space 2} .0125948{col 26}{space 2} .0167597{col 37}{space 1}    0.75{col 46}{space 3}0.453{col 54}{space 4}-.0204686{col 67}{space 3} .0456583
{txt}c_trea~l_hc2 {c |}{col 14}{res}{space 2} .0561594{col 26}{space 2} .0779502{col 37}{space 1}    0.72{col 46}{space 3}0.472{col 54}{space 4}-.0976207{col 67}{space 3} .2099396
{txt}c_treatful.. {c |}{col 14}{res}{space 2}-.1599265{col 26}{space 2} .1005462{col 37}{space 1}   -1.59{col 46}{space 3}0.113{col 54}{space 4}-.3582841{col 67}{space 3} .0384311
{txt}c_treatful.. {c |}{col 14}{res}{space 2} .1213182{col 26}{space 2} .1330756{col 37}{space 1}    0.91{col 46}{space 3}0.363{col 54}{space 4}-.1412134{col 67}{space 3} .3838498
{txt}c_treatful.. {c |}{col 14}{res}{space 2} .0682785{col 26}{space 2} .1114092{col 37}{space 1}    0.61{col 46}{space 3}0.541{col 54}{space 4}-.1515095{col 67}{space 3} .2880665
{txt}c_treatful.. {c |}{col 14}{res}{space 2} -.006845{col 26}{space 2} .0057149{col 37}{space 1}   -1.20{col 46}{space 3}0.233{col 54}{space 4}-.0181193{col 67}{space 3} .0044293
{txt}c_treatful.. {c |}{col 14}{res}{space 2} .0200508{col 26}{space 2} .0244164{col 37}{space 1}    0.82{col 46}{space 3}0.413{col 54}{space 4}-.0281178{col 67}{space 3} .0682194
{txt}{space 7}_cons {c |}{col 14}{res}{space 2}-.0030032{col 26}{space 2} .0234177{col 37}{space 1}   -0.13{col 46}{space 3}0.898{col 54}{space 4}-.0492016{col 67}{space 3} .0431951
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{com}.                 
.         * We create the adjusted p-value following the Benjamini-Hochberg methodology 
.         
.         local ps `p_2'
{txt}
{com}.         forvalues x = 3/`y' {c -(}
{txt}  2{com}.                 local ps `ps' \ `p_`x''
{txt}  3{com}.                 {c )-}
{txt}
{com}. 
.         matrix mat = (`ps')
{txt}
{com}.                 
.         * We need to rank the p-value, transpose it and transfer it to local
.         
.         matsort mat 1 "up"
{txt}
{com}.         
.         mat ps_mat = mat'
{txt}
{com}.         
.         mat list ps_mat
{res}
{txt}ps_mat[1,3]
           r2         r1         r3
c1 {res} .00024779  .00086374  .24618138
{reset}
{com}.         
.         local ps_rank
{txt}
{com}.         
.         forvalues z = 1/`y' {c -(}
{txt}  2{com}.                 local x = ps_mat[1,`z']
{txt}  3{com}.                 local ps_rank `ps_rank' `x'
{txt}  4{com}.                 {c )-}
{txt}
{com}.                 
.         di "`ps_rank'"
{res}.0002477930054893 .0008637387404911 .246181379453168 .
{txt}
{com}.         
.         * We count the number of tests (numerator)
.         
.         local num_p = `y' - 1
{txt}
{com}.         
.         * We calculate the BH value
.         
.         local z = 0
{txt}
{com}.         foreach i of local ps_rank {c -(}
{txt}  2{com}.                 local z = `z' + 1 
{txt}  3{com}.                 local adj_p`z' = (`i' * `num_p') / `z'
{txt}  4{com}.                 {c )-}
{txt}
{com}.                 
.         * We compare it according to the rank and eventually replace it
.         
.         forvalues r = 1/`y' {c -(}
{txt}  2{com}.         local d = `y' - 1
{txt}  3{com}.         forvalues z = 1/`d' {c -(}
{txt}  4{com}.                 local v = `z' + 1
{txt}  5{com}.                         if `adj_p`z'' >= `adj_p`v'' {c -(}
{txt}  6{com}.                                 local adj_p`z' `adj_p`v''
{txt}  7{com}.                                 {c )-}
{txt}  8{com}.                         {c )-}
{txt}  9{com}.                         {c )-}
{txt}
{com}.         
.         * We store it in the estimator
.         
.         local z = 0
{txt}
{com}.         foreach i of local ps_rank {c -(}
{txt}  2{com}.                 local z = `z' + 1 
{txt}  3{com}.                 forvalues j = 2/`y' {c -(}
{txt}  4{com}.                         if `i' == `p_`j'' {c -(} 
{txt}  5{com}.                         estimates restore m`j'
{txt}  6{com}.                         estadd scalar adj_p = `adj_p`z''
{txt}  7{com}.                         {c )-}
{txt}  8{com}.                 {c )-}
{txt}  9{com}.                 {c )-}       
{txt}(results {stata estimates replay m3:m3} are active now)

added scalar:
              e(adj_p) =  {res}.00074338
{txt}(results {stata estimates replay m2:m2} are active now)

added scalar:
              e(adj_p) =  {res}.00129561
{txt}(results {stata estimates replay m4:m4} are active now)

added scalar:
              e(adj_p) =  {res}.24618138
{txt}
{com}.                 
.         * We include the adjusted p-value from the main outcomes index
.         
.         estimates restore m1
{txt}(results {stata estimates replay m1:m1} are active now)

{com}.         estadd scalar adj_p = 0.104

{txt}added scalar:
              e(adj_p) =  {res}.104
{txt}
{com}.                 
.         ******************************************
.         * Table Ctz knowledge outcomes (endline) *
.         ******************************************
.         
.         # delimit;
{txt}delimiter now ;
{com}.                 esttab m1 m2 m3 m4
>         using "${c -(}tables{c )-}/TableI16.tex", b(%5.3f) se(%5.3f)
>                 title(Citizen knowledge index -- Subcomponents)
>                 keep(`var' _cons)
>                 varlabels (`var' "Full treatment" _cons "Constant")     
>                 starlevels(* .10 ** .05 *** .01)                
>                 mtitles("\textbf{c -(}\begin{c -(}tabular{c )-}[c]{c -(}@{c -(}{c )-}c@{c -(}{c )-}{c )-}Citizen\\knowledge\\index\end{c -(}tabular{c )-}{c )-}"
>                                 "\begin{c -(}tabular{c )-}[c]{c -(}@{c -(}{c )-}c@{c -(}{c )-}{c )-}\# of patients\\rights correctly\\named\end{c -(}tabular{c )-}"
>                                 "\begin{c -(}tabular{c )-}[c]{c -(}@{c -(}{c )-}c@{c -(}{c )-}{c )-}\# of patients\\resp. correctly\\named\end{c -(}tabular{c )-}"
>                                 "\begin{c -(}tabular{c )-}[c]{c -(}@{c -(}{c )-}c@{c -(}{c )-}{c )-}\# of HC services\\correctly named\end{c -(}tabular{c )-}")
>                 stats(N r2 adj_p, labels("N" "R$^{c -(}2{c )-}$" "Adjusted p-value (FT)") fmt(%9.0fc %9.3fc)) label booktabs nonotes replace
>         
>         ;
{res}{txt}(output written to {browse  `"/Users/fredericcochinard/Dropbox/ACT_Health_JOP_replication_file/3.Tables and Figures/Tables/TableI16.tex"'})

{com}.                 # delimit cr
{txt}delimiter now cr
{com}.         
.         *********************************
.         * Table Health worker knowledge *
.         *********************************
.         
.         * At endline:
.         
.         eststo clear
{txt}
{com}.         
.         local y = 1
{txt}
{com}.         foreach x in `h_hcknowledge' {c -(}
{txt}  2{com}.                 areg  e_`x' `var' b_`x' b_`x'_d `e_controls_tfull_hc' ``var'_hc_int_e_controls' if uniquehc == 1, robust a(district)
{txt}  3{com}.                 
.                 local p_`y' = (2 * ttail(e(df_r), abs(_b[`var']/_se[`var'])))
{txt}  4{com}.                 
.                 estimates store m`y'
{txt}  5{com}.                 local y = `y' + 1
{txt}  6{com}.                 {c )-}
{p 0 6 2}{txt}note: b_h_hcpknow_z_d omitted because of collinearity{p_end}
{res}
{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}       187
{txt}{col 49}F({res}  14{txt},{res}    157{txt}){col 67}= {res}      2.65
{txt}{col 49}Prob > F{col 67}= {res}    0.0017
{txt}{col 49}R-squared{col 67}= {res}    0.2756
{txt}{col 49}Adj R-squared{col 67}= {res}    0.1418
{txt}{col 49}Root MSE{col 67}= {res}    0.8033

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}e_h_hcpkno~z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2} .1714377{col 26}{space 2}  .120769{col 37}{space 1}    1.42{col 46}{space 3}0.158{col 54}{space 4}-.0671039{col 67}{space 3} .4099793
{txt}b_h_hcpkno~z {c |}{col 14}{res}{space 2}  .054997{col 26}{space 2} .0852053{col 37}{space 1}    0.65{col 46}{space 3}0.520{col 54}{space 4}-.1132996{col 67}{space 3} .2232937
{txt}b_h_hcpkno~d {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
c_tf~_hc_hc2 {c |}{col 14}{res}{space 2}-.2936552{col 26}{space 2} .2234489{col 37}{space 1}   -1.31{col 46}{space 3}0.191{col 54}{space 4}-.7350091{col 67}{space 3} .1476987
{txt}c_tfull_hc~l {c |}{col 14}{res}{space 2} .0447706{col 26}{space 2} .2478513{col 37}{space 1}    0.18{col 46}{space 3}0.857{col 54}{space 4}-.4447826{col 67}{space 3} .5343237
{txt}c_tfull_hc~s {c |}{col 14}{res}{space 2} .7343234{col 26}{space 2} .2546233{col 37}{space 1}    2.88{col 46}{space 3}0.004{col 54}{space 4} .2313941{col 67}{space 3} 1.237253
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2} .2400758{col 26}{space 2} .8114514{col 37}{space 1}    0.30{col 46}{space 3}0.768{col 54}{space 4}-1.362694{col 67}{space 3} 1.842846
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2}-.0483657{col 26}{space 2} .0797291{col 37}{space 1}   -0.61{col 46}{space 3}0.545{col 54}{space 4}-.2058457{col 67}{space 3} .1091142
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2} .1564611{col 26}{space 2} .2633217{col 37}{space 1}    0.59{col 46}{space 3}0.553{col 54}{space 4} -.363649{col 67}{space 3} .6765712
{txt}c_treatful.. {c |}{col 14}{res}{space 2}-.0420162{col 26}{space 2} .3024929{col 37}{space 1}   -0.14{col 46}{space 3}0.890{col 54}{space 4}-.6394969{col 67}{space 3} .5554644
{txt}c_treatful.. {c |}{col 14}{res}{space 2} .3133151{col 26}{space 2} .3244546{col 37}{space 1}    0.97{col 46}{space 3}0.336{col 54}{space 4}-.3275441{col 67}{space 3} .9541744
{txt}c_treatful.. {c |}{col 14}{res}{space 2}-.6615917{col 26}{space 2} .3326143{col 37}{space 1}   -1.99{col 46}{space 3}0.048{col 54}{space 4}-1.318568{col 67}{space 3}-.0046156
{txt}c_treatful.. {c |}{col 14}{res}{space 2} 1.076339{col 26}{space 2} 1.212186{col 37}{space 1}    0.89{col 46}{space 3}0.376{col 54}{space 4}-1.317957{col 67}{space 3} 3.470636
{txt}c_treatful.. {c |}{col 14}{res}{space 2} .0460699{col 26}{space 2} .1322924{col 37}{space 1}    0.35{col 46}{space 3}0.728{col 54}{space 4}-.2152327{col 67}{space 3} .3073724
{txt}c_treatful.. {c |}{col 14}{res}{space 2} .0891063{col 26}{space 2} .3548798{col 37}{space 1}    0.25{col 46}{space 3}0.802{col 54}{space 4}-.6118483{col 67}{space 3}  .790061
{txt}{space 7}_cons {c |}{col 14}{res}{space 2}-.0160752{col 26}{space 2} .0796911{col 37}{space 1}   -0.20{col 46}{space 3}0.840{col 54}{space 4}-.1734802{col 67}{space 3} .1413297
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)
{p 0 6 2}note: b_h_numrights_z_d omitted because of collinearity{p_end}
{res}
{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}       187
{txt}{col 49}F({res}  14{txt},{res}    157{txt}){col 67}= {res}      1.74
{txt}{col 49}Prob > F{col 67}= {res}    0.0529
{txt}{col 49}R-squared{col 67}= {res}    0.2897
{txt}{col 49}Adj R-squared{col 67}= {res}    0.1585
{txt}{col 49}Root MSE{col 67}= {res}    0.9182

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}e_h_numrig~z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2} .2220928{col 26}{space 2} .1387888{col 37}{space 1}    1.60{col 46}{space 3}0.112{col 54}{space 4}-.0520413{col 67}{space 3} .4962269
{txt}b_h_numrig~z {c |}{col 14}{res}{space 2} .1164301{col 26}{space 2} .0737918{col 37}{space 1}    1.58{col 46}{space 3}0.117{col 54}{space 4}-.0293226{col 67}{space 3} .2621829
{txt}b_h_nu~s_z_d {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
c_tf~_hc_hc2 {c |}{col 14}{res}{space 2}-.2206424{col 26}{space 2}  .243675{col 37}{space 1}   -0.91{col 46}{space 3}0.367{col 54}{space 4}-.7019467{col 67}{space 3} .2606618
{txt}c_tfull_hc~l {c |}{col 14}{res}{space 2} .3982635{col 26}{space 2}  .283888{col 37}{space 1}    1.40{col 46}{space 3}0.163{col 54}{space 4} -.162469{col 67}{space 3} .9589961
{txt}c_tfull_hc~s {c |}{col 14}{res}{space 2} .2971539{col 26}{space 2} .3041046{col 37}{space 1}    0.98{col 46}{space 3}0.330{col 54}{space 4}-.3035101{col 67}{space 3}  .897818
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2} .3237389{col 26}{space 2} .7888153{col 37}{space 1}    0.41{col 46}{space 3}0.682{col 54}{space 4}-1.234321{col 67}{space 3} 1.881798
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2}-.1242053{col 26}{space 2} .0935211{col 37}{space 1}   -1.33{col 46}{space 3}0.186{col 54}{space 4}-.3089272{col 67}{space 3} .0605166
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2} .4577554{col 26}{space 2}  .312482{col 37}{space 1}    1.46{col 46}{space 3}0.145{col 54}{space 4}-.1594555{col 67}{space 3} 1.074966
{txt}c_treatful.. {c |}{col 14}{res}{space 2} .0051628{col 26}{space 2} .3329863{col 37}{space 1}    0.02{col 46}{space 3}0.988{col 54}{space 4}-.6525482{col 67}{space 3} .6628738
{txt}c_treatful.. {c |}{col 14}{res}{space 2}-.0403452{col 26}{space 2} .3568241{col 37}{space 1}   -0.11{col 46}{space 3}0.910{col 54}{space 4}-.7451403{col 67}{space 3} .6644499
{txt}c_treatful.. {c |}{col 14}{res}{space 2}-.0141254{col 26}{space 2} .3887275{col 37}{space 1}   -0.04{col 46}{space 3}0.971{col 54}{space 4}-.7819358{col 67}{space 3} .7536851
{txt}c_treatful.. {c |}{col 14}{res}{space 2} .0176699{col 26}{space 2} 1.350544{col 37}{space 1}    0.01{col 46}{space 3}0.990{col 54}{space 4}-2.649909{col 67}{space 3} 2.685249
{txt}c_treatful.. {c |}{col 14}{res}{space 2} .2020528{col 26}{space 2} .1484622{col 37}{space 1}    1.36{col 46}{space 3}0.175{col 54}{space 4}-.0911881{col 67}{space 3} .4952936
{txt}c_treatful.. {c |}{col 14}{res}{space 2}-.1334357{col 26}{space 2} .3854013{col 37}{space 1}   -0.35{col 46}{space 3}0.730{col 54}{space 4}-.8946761{col 67}{space 3} .6278048
{txt}{space 7}_cons {c |}{col 14}{res}{space 2}-.0191877{col 26}{space 2} .0949035{col 37}{space 1}   -0.20{col 46}{space 3}0.840{col 54}{space 4}  -.20664{col 67}{space 3} .1682646
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)
{p 0 6 2}note: b_h_numresp_z_d omitted because of collinearity{p_end}
{res}
{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}       187
{txt}{col 49}F({res}  14{txt},{res}    157{txt}){col 67}= {res}      3.05
{txt}{col 49}Prob > F{col 67}= {res}    0.0003
{txt}{col 49}R-squared{col 67}= {res}    0.2108
{txt}{col 49}Adj R-squared{col 67}= {res}    0.0650
{txt}{col 49}Root MSE{col 67}= {res}    1.0138

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}e_h_numres~z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2}  .127889{col 26}{space 2}  .150604{col 37}{space 1}    0.85{col 46}{space 3}0.397{col 54}{space 4}-.1695824{col 67}{space 3} .4253604
{txt}b_h_numres~z {c |}{col 14}{res}{space 2}-.0313922{col 26}{space 2} .0831936{col 37}{space 1}   -0.38{col 46}{space 3}0.706{col 54}{space 4}-.1957152{col 67}{space 3} .1329309
{txt}b_h_nu~p_z_d {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
c_tf~_hc_hc2 {c |}{col 14}{res}{space 2}-.3913121{col 26}{space 2} .2944574{col 37}{space 1}   -1.33{col 46}{space 3}0.186{col 54}{space 4}-.9729211{col 67}{space 3} .1902969
{txt}c_tfull_hc~l {c |}{col 14}{res}{space 2}-.3167755{col 26}{space 2} .3269043{col 37}{space 1}   -0.97{col 46}{space 3}0.334{col 54}{space 4}-.9624732{col 67}{space 3} .3289223
{txt}c_tfull_hc~s {c |}{col 14}{res}{space 2} 1.152103{col 26}{space 2} .3023584{col 37}{space 1}    3.81{col 46}{space 3}0.000{col 54}{space 4} .5548882{col 67}{space 3} 1.749318
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2}  .176789{col 26}{space 2} 1.015292{col 37}{space 1}    0.17{col 46}{space 3}0.862{col 54}{space 4}-1.828606{col 67}{space 3} 2.182184
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2} .0258409{col 26}{space 2}  .100092{col 37}{space 1}    0.26{col 46}{space 3}0.797{col 54}{space 4}-.1718597{col 67}{space 3} .2235415
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2}-.1401848{col 26}{space 2} .3339668{col 37}{space 1}   -0.42{col 46}{space 3}0.675{col 54}{space 4}-.7998324{col 67}{space 3} .5194628
{txt}c_treatful.. {c |}{col 14}{res}{space 2}-.0766789{col 26}{space 2} .4134694{col 37}{space 1}   -0.19{col 46}{space 3}0.853{col 54}{space 4}-.8933591{col 67}{space 3} .7400014
{txt}c_treatful.. {c |}{col 14}{res}{space 2} .6727251{col 26}{space 2} .4362903{col 37}{space 1}    1.54{col 46}{space 3}0.125{col 54}{space 4}-.1890309{col 67}{space 3} 1.534481
{txt}c_treatful.. {c |}{col 14}{res}{space 2}-1.319629{col 26}{space 2} .4428914{col 37}{space 1}   -2.98{col 46}{space 3}0.003{col 54}{space 4}-2.194424{col 67}{space 3} -.444835
{txt}c_treatful.. {c |}{col 14}{res}{space 2} 2.081601{col 26}{space 2} 1.580466{col 37}{space 1}    1.32{col 46}{space 3}0.190{col 54}{space 4}-1.040118{col 67}{space 3}  5.20332
{txt}c_treatful.. {c |}{col 14}{res}{space 2}-.0831049{col 26}{space 2} .1744557{col 37}{space 1}   -0.48{col 46}{space 3}0.634{col 54}{space 4}-.4276879{col 67}{space 3} .2614781
{txt}c_treatful.. {c |}{col 14}{res}{space 2} .2999203{col 26}{space 2} .4508811{col 37}{space 1}    0.67{col 46}{space 3}0.507{col 54}{space 4}-.5906551{col 67}{space 3} 1.190496
{txt}{space 7}_cons {c |}{col 14}{res}{space 2}-.0126252{col 26}{space 2} .0929644{col 37}{space 1}   -0.14{col 46}{space 3}0.892{col 54}{space 4}-.1962475{col 67}{space 3} .1709972
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{com}.                 
.         * We create the adjusted p-value following the Benjamini-Hochberg methodology 
.         
.         local y = `y' - 1
{txt}
{com}.         
.         local ps `p_2'
{txt}
{com}.         forvalues x = 3/`y' {c -(}
{txt}  2{com}.                 local ps `ps' \ `p_`x''
{txt}  3{com}.                 {c )-}
{txt}
{com}. 
.         matrix mat = (`ps')
{txt}
{com}.                 
.         * We need to rank the p-value, transpose it and transfer it to local
.         
.         matsort mat 1 "up"
{txt}
{com}.         
.         mat ps_mat = mat'
{txt}
{com}.         
.         mat list ps_mat
{res}
{txt}ps_mat[1,2]
           r1         r2
c1 {res} .11155982  .39707735
{reset}
{com}.         
.         local ps_rank
{txt}
{com}.         
.         forvalues z = 1/`y' {c -(}
{txt}  2{com}.                 local x = ps_mat[1,`z']
{txt}  3{com}.                 local ps_rank `ps_rank' `x'
{txt}  4{com}.                 {c )-}
{txt}
{com}.                 
.         di "`ps_rank'"
{res}.1115598247391197 .3970773471884931 .
{txt}
{com}.         
.         * We count the number of tests (numerator)
.         
.         local num_p = `y' - 1
{txt}
{com}.         
.         * We calculate the BH value
.         
.         local z = 0
{txt}
{com}.         foreach i of local ps_rank {c -(}
{txt}  2{com}.                 local z = `z' + 1 
{txt}  3{com}.                 local adj_p`z' = (`i' * `num_p') / `z'
{txt}  4{com}.                 {c )-}
{txt}
{com}.                 
.         * We compare it according to the rank and eventually replace it
.         
.         forvalues r = 1/`y' {c -(}
{txt}  2{com}.         local d = `y' - 1
{txt}  3{com}.         forvalues z = 1/`d' {c -(}
{txt}  4{com}.                 local v = `z' + 1
{txt}  5{com}.                         if `adj_p`z'' >= `adj_p`v'' {c -(}
{txt}  6{com}.                                 local adj_p`z' `adj_p`v''
{txt}  7{com}.                                 {c )-}
{txt}  8{com}.                         {c )-}
{txt}  9{com}.                         {c )-}
{txt}
{com}.         
.         * We store it in the estimator
.         
.         local z = 0
{txt}
{com}.         foreach i of local ps_rank {c -(}
{txt}  2{com}.                 local z = `z' + 1 
{txt}  3{com}.                 forvalues j = 2/`y' {c -(}
{txt}  4{com}.                         if `i' == `p_`j'' {c -(} 
{txt}  5{com}.                         estimates restore m`j'
{txt}  6{com}.                         estadd scalar adj_p = `adj_p`z''
{txt}  7{com}.                         {c )-}
{txt}  8{com}.                 {c )-}
{txt}  9{com}.                 {c )-}       
{txt}(results {stata estimates replay m2:m2} are active now)

added scalar:
              e(adj_p) =  {res}.22311965
{txt}(results {stata estimates replay m3:m3} are active now)

added scalar:
              e(adj_p) =  {res}.39707735
{txt}
{com}.         
.         * We include the adjusted p-value from the main outcomes index
.         
.         estimates restore m1
{txt}(results {stata estimates replay m1:m1} are active now)

{com}.         estadd scalar adj_p = 0.473

{txt}added scalar:
              e(adj_p) =  {res}.473
{txt}
{com}.         
.         *****************************************
.         * Table HC knowledge outcomes (endline) *
.         *****************************************
.                 
.         # delimit;
{txt}delimiter now ;
{com}.                 esttab m1 m2 m3
>         using "${c -(}tables{c )-}/TableI17.tex", b(%5.3f) se(%5.3f)
>                 title(HC staff knowledge index -- Subcomponents)
>                 keep(`var' _cons)
>                 varlabels (`var' "Full treatment" _cons "Constant")     
>                 starlevels(* .10 ** .05 *** .01)                
>                 mtitles("\textbf{c -(}\begin{c -(}tabular{c )-}[c]{c -(}@{c -(}{c )-}c@{c -(}{c )-}{c )-}HC staff\\knowledge\\index\end{c -(}tabular{c )-}{c )-}"
>                                 "\begin{c -(}tabular{c )-}[c]{c -(}@{c -(}{c )-}c@{c -(}{c )-}{c )-}\# of patients\\rights correctly\\named\end{c -(}tabular{c )-}"
>                                 "\begin{c -(}tabular{c )-}[c]{c -(}@{c -(}{c )-}c@{c -(}{c )-}{c )-}\# of patients\\resp. correctly\\named\end{c -(}tabular{c )-}")
>                 stats(N r2 adj_p, labels("N" "R$^{c -(}2{c )-}$" "Adjusted p-value (FT)") fmt(%9.0fc %9.3fc)) label booktabs nonotes replace
>         
>         ;
{res}{txt}(output written to {browse  `"/Users/fredericcochinard/Dropbox/ACT_Health_JOP_replication_file/3.Tables and Figures/Tables/TableI17.tex"'})

{com}.                 # delimit cr
{txt}delimiter now cr
{com}.         
.         *******************
.         * Tables Efficacy *
.         *******************
. 
.         * At endline:
.         
.         eststo clear
{txt}
{com}.         
.         local y = 1
{txt}
{com}.         foreach x in `efficacy' {c -(}
{txt}  2{com}.                 areg  e_`x' `var' b_`x' b_`x'_d `e_controls_tfull' ``var'_int_e_controls', robust cl(hc_id) a(district)
{txt}  3{com}.                 
.                 local p_`y' = (2 * ttail(e(df_r), abs(_b[`var']/_se[`var'])))
{txt}  4{com}.                 
.                 estimates store m`y'
{txt}  5{com}.                 local y = `y' + 1
{txt}  6{com}.                 {c )-}
{txt}note: b_eff_z_d omitted because of collinearity
{res}
{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}     7,288
{txt}{col 49}F({res}  14{txt},{res}    186{txt}){col 67}= {res}      8.05
{txt}{col 49}Prob > F{col 67}= {res}    0.0000
{txt}{col 49}R-squared{col 67}= {res}    0.0451
{txt}{col 49}Adj R-squared{col 67}= {res}    0.0413
{txt}{col 49}Root MSE{col 67}= {res}    0.6190

{txt}{ralign 78:(Std. Err. adjusted for {res:187} clusters in hc_id)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}     e_eff_z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2}-.0219237{col 26}{space 2} .0230844{col 37}{space 1}   -0.95{col 46}{space 3}0.343{col 54}{space 4}-.0674646{col 67}{space 3} .0236172
{txt}{space 5}b_eff_z {c |}{col 14}{res}{space 2} .0596866{col 26}{space 2} .0114963{col 37}{space 1}    5.19{col 46}{space 3}0.000{col 54}{space 4} .0370067{col 67}{space 3} .0823665
{txt}{space 3}b_eff_z_d {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 1}c_tfull_hc2 {c |}{col 14}{res}{space 2} .0456099{col 26}{space 2} .0374674{col 37}{space 1}    1.22{col 46}{space 3}0.225{col 54}{space 4}-.0283059{col 67}{space 3} .1195257
{txt}c_tfull_b_~l {c |}{col 14}{res}{space 2} .0794216{col 26}{space 2} .0487212{col 37}{space 1}    1.63{col 46}{space 3}0.105{col 54}{space 4}-.0166956{col 67}{space 3} .1755389
{txt}c_tfull_b_~s {c |}{col 14}{res}{space 2} .0053469{col 26}{space 2} .0540837{col 37}{space 1}    0.10{col 46}{space 3}0.921{col 54}{space 4}-.1013494{col 67}{space 3} .1120432
{txt}c_tfull_b_~d {c |}{col 14}{res}{space 2} .0000981{col 26}{space 2} .0458753{col 37}{space 1}    0.00{col 46}{space 3}0.998{col 54}{space 4}-.0904047{col 67}{space 3} .0906009
{txt}c_tfull_ed~r {c |}{col 14}{res}{space 2} .0113794{col 26}{space 2} .0026158{col 37}{space 1}    4.35{col 46}{space 3}0.000{col 54}{space 4}  .006219{col 67}{space 3} .0165398
{txt}c_tfull_b_~x {c |}{col 14}{res}{space 2} .0488718{col 26}{space 2} .0126399{col 37}{space 1}    3.87{col 46}{space 3}0.000{col 54}{space 4} .0239357{col 67}{space 3} .0738078
{txt}c_trea~l_hc2 {c |}{col 14}{res}{space 2}-.0490677{col 26}{space 2} .0503012{col 37}{space 1}   -0.98{col 46}{space 3}0.331{col 54}{space 4} -.148302{col 67}{space 3} .0501666
{txt}c_treatful.. {c |}{col 14}{res}{space 2}-.1331137{col 26}{space 2}   .05865{col 37}{space 1}   -2.27{col 46}{space 3}0.024{col 54}{space 4}-.2488185{col 67}{space 3}-.0174089
{txt}c_treatful.. {c |}{col 14}{res}{space 2}-.0048904{col 26}{space 2} .0721199{col 37}{space 1}   -0.07{col 46}{space 3}0.946{col 54}{space 4}-.1471686{col 67}{space 3} .1373878
{txt}c_treatful.. {c |}{col 14}{res}{space 2} .0809948{col 26}{space 2} .0651267{col 37}{space 1}    1.24{col 46}{space 3}0.215{col 54}{space 4}-.0474872{col 67}{space 3} .2094769
{txt}c_treatful.. {c |}{col 14}{res}{space 2}-.0052151{col 26}{space 2} .0037607{col 37}{space 1}   -1.39{col 46}{space 3}0.167{col 54}{space 4}-.0126343{col 67}{space 3} .0022041
{txt}c_treatful.. {c |}{col 14}{res}{space 2}-.0187058{col 26}{space 2} .0172718{col 37}{space 1}   -1.08{col 46}{space 3}0.280{col 54}{space 4}-.0527797{col 67}{space 3}  .015368
{txt}{space 7}_cons {c |}{col 14}{res}{space 2}-.0016422{col 26}{space 2} .0153673{col 37}{space 1}   -0.11{col 46}{space 3}0.915{col 54}{space 4}-.0319588{col 67}{space 3} .0286745
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)
note: b_power_z_d omitted because of collinearity
{res}
{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}     7,288
{txt}{col 49}F({res}  14{txt},{res}    186{txt}){col 67}= {res}      6.33
{txt}{col 49}Prob > F{col 67}= {res}    0.0000
{txt}{col 49}R-squared{col 67}= {res}    0.0595
{txt}{col 49}Adj R-squared{col 67}= {res}    0.0558
{txt}{col 49}Root MSE{col 67}= {res}    0.9697

{txt}{ralign 78:(Std. Err. adjusted for {res:187} clusters in hc_id)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}   e_power_z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2}-.0337264{col 26}{space 2} .0281741{col 37}{space 1}   -1.20{col 46}{space 3}0.233{col 54}{space 4}-.0893082{col 67}{space 3} .0218554
{txt}{space 3}b_power_z {c |}{col 14}{res}{space 2} .0735005{col 26}{space 2} .0118636{col 37}{space 1}    6.20{col 46}{space 3}0.000{col 54}{space 4}  .050096{col 67}{space 3} .0969049
{txt}{space 1}b_power_z_d {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 1}c_tfull_hc2 {c |}{col 14}{res}{space 2} .0672346{col 26}{space 2} .0542522{col 37}{space 1}    1.24{col 46}{space 3}0.217{col 54}{space 4}-.0397942{col 67}{space 3} .1742635
{txt}c_tfull_b_~l {c |}{col 14}{res}{space 2} .0848302{col 26}{space 2} .0703266{col 37}{space 1}    1.21{col 46}{space 3}0.229{col 54}{space 4}-.0539102{col 67}{space 3} .2235706
{txt}c_tfull_b_~s {c |}{col 14}{res}{space 2}-.0218819{col 26}{space 2} .0732362{col 37}{space 1}   -0.30{col 46}{space 3}0.765{col 54}{space 4}-.1663623{col 67}{space 3} .1225985
{txt}c_tfull_b_~d {c |}{col 14}{res}{space 2}-.0186622{col 26}{space 2} .0731936{col 37}{space 1}   -0.25{col 46}{space 3}0.799{col 54}{space 4}-.1630587{col 67}{space 3} .1257342
{txt}c_tfull_ed~r {c |}{col 14}{res}{space 2}  .014648{col 26}{space 2} .0039269{col 37}{space 1}    3.73{col 46}{space 3}0.000{col 54}{space 4} .0069009{col 67}{space 3}  .022395
{txt}c_tfull_b_~x {c |}{col 14}{res}{space 2} .0554337{col 26}{space 2} .0163258{col 37}{space 1}    3.40{col 46}{space 3}0.001{col 54}{space 4} .0232262{col 67}{space 3} .0876412
{txt}c_trea~l_hc2 {c |}{col 14}{res}{space 2}-.0411579{col 26}{space 2}  .068477{col 37}{space 1}   -0.60{col 46}{space 3}0.549{col 54}{space 4}-.1762492{col 67}{space 3} .0939335
{txt}c_treatful.. {c |}{col 14}{res}{space 2} -.117418{col 26}{space 2} .0798536{col 37}{space 1}   -1.47{col 46}{space 3}0.143{col 54}{space 4}-.2749532{col 67}{space 3} .0401172
{txt}c_treatful.. {c |}{col 14}{res}{space 2} .0080528{col 26}{space 2} .0962096{col 37}{space 1}    0.08{col 46}{space 3}0.933{col 54}{space 4}-.1817496{col 67}{space 3} .1978551
{txt}c_treatful.. {c |}{col 14}{res}{space 2} .0926876{col 26}{space 2} .0970078{col 37}{space 1}    0.96{col 46}{space 3}0.341{col 54}{space 4}-.0986893{col 67}{space 3} .2840645
{txt}c_treatful.. {c |}{col 14}{res}{space 2}-.0057353{col 26}{space 2} .0058761{col 37}{space 1}   -0.98{col 46}{space 3}0.330{col 54}{space 4}-.0173277{col 67}{space 3}  .005857
{txt}c_treatful.. {c |}{col 14}{res}{space 2} .0021878{col 26}{space 2} .0275278{col 37}{space 1}    0.08{col 46}{space 3}0.937{col 54}{space 4} -.052119{col 67}{space 3} .0564946
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} .0005598{col 26}{space 2}  .020662{col 37}{space 1}    0.03{col 46}{space 3}0.978{col 54}{space 4}-.0402023{col 67}{space 3} .0413219
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)
note: b_influence_z_d omitted because of collinearity
{res}
{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}     7,288
{txt}{col 49}F({res}  14{txt},{res}    186{txt}){col 67}= {res}     10.50
{txt}{col 49}Prob > F{col 67}= {res}    0.0000
{txt}{col 49}R-squared{col 67}= {res}    0.0402
{txt}{col 49}Adj R-squared{col 67}= {res}    0.0363
{txt}{col 49}Root MSE{col 67}= {res}    0.9801

{txt}{ralign 78:(Std. Err. adjusted for {res:187} clusters in hc_id)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}e_influenc~z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2}-.0398914{col 26}{space 2} .0319716{col 37}{space 1}   -1.25{col 46}{space 3}0.214{col 54}{space 4}-.1029651{col 67}{space 3} .0231822
{txt}b_influenc~z {c |}{col 14}{res}{space 2} .0593672{col 26}{space 2} .0118347{col 37}{space 1}    5.02{col 46}{space 3}0.000{col 54}{space 4} .0360197{col 67}{space 3} .0827146
{txt}b_influe~z_d {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 1}c_tfull_hc2 {c |}{col 14}{res}{space 2} .1160293{col 26}{space 2} .0622598{col 37}{space 1}    1.86{col 46}{space 3}0.064{col 54}{space 4}-.0067968{col 67}{space 3} .2388554
{txt}c_tfull_b_~l {c |}{col 14}{res}{space 2}  .147183{col 26}{space 2} .0703523{col 37}{space 1}    2.09{col 46}{space 3}0.038{col 54}{space 4} .0083919{col 67}{space 3}  .285974
{txt}c_tfull_b_~s {c |}{col 14}{res}{space 2} .1177065{col 26}{space 2} .0634327{col 37}{space 1}    1.86{col 46}{space 3}0.065{col 54}{space 4}-.0074336{col 67}{space 3} .2428465
{txt}c_tfull_b_~d {c |}{col 14}{res}{space 2} .0203295{col 26}{space 2} .0785178{col 37}{space 1}    0.26{col 46}{space 3}0.796{col 54}{space 4}-.1345704{col 67}{space 3} .1752293
{txt}c_tfull_ed~r {c |}{col 14}{res}{space 2} .0153604{col 26}{space 2} .0041393{col 37}{space 1}    3.71{col 46}{space 3}0.000{col 54}{space 4} .0071945{col 67}{space 3} .0235264
{txt}c_tfull_b_~x {c |}{col 14}{res}{space 2} .1011814{col 26}{space 2} .0186312{col 37}{space 1}    5.43{col 46}{space 3}0.000{col 54}{space 4} .0644259{col 67}{space 3}  .137937
{txt}c_trea~l_hc2 {c |}{col 14}{res}{space 2}-.0964475{col 26}{space 2} .0759907{col 37}{space 1}   -1.27{col 46}{space 3}0.206{col 54}{space 4} -.246362{col 67}{space 3}  .053467
{txt}c_treatful.. {c |}{col 14}{res}{space 2}-.0807374{col 26}{space 2} .0801743{col 37}{space 1}   -1.01{col 46}{space 3}0.315{col 54}{space 4}-.2389052{col 67}{space 3} .0774303
{txt}c_treatful.. {c |}{col 14}{res}{space 2}-.1788383{col 26}{space 2} .0817332{col 37}{space 1}   -2.19{col 46}{space 3}0.030{col 54}{space 4}-.3400816{col 67}{space 3}-.0175951
{txt}c_treatful.. {c |}{col 14}{res}{space 2} .0663484{col 26}{space 2} .1025814{col 37}{space 1}    0.65{col 46}{space 3}0.519{col 54}{space 4}-.1360243{col 67}{space 3}  .268721
{txt}c_treatful.. {c |}{col 14}{res}{space 2} -.002102{col 26}{space 2} .0058492{col 37}{space 1}   -0.36{col 46}{space 3}0.720{col 54}{space 4}-.0136412{col 67}{space 3} .0094373
{txt}c_treatful.. {c |}{col 14}{res}{space 2}-.0541858{col 26}{space 2} .0264316{col 37}{space 1}   -2.05{col 46}{space 3}0.042{col 54}{space 4}  -.10633{col 67}{space 3}-.0020417
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} .0065853{col 26}{space 2} .0227462{col 37}{space 1}    0.29{col 46}{space 3}0.773{col 54}{space 4}-.0382885{col 67}{space 3} .0514591
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)
note: b_peoplesay_gov_z_d omitted because of collinearity
{res}
{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}     7,288
{txt}{col 49}F({res}  14{txt},{res}    186{txt}){col 67}= {res}      4.98
{txt}{col 49}Prob > F{col 67}= {res}    0.0000
{txt}{col 49}R-squared{col 67}= {res}    0.0313
{txt}{col 49}Adj R-squared{col 67}= {res}    0.0274
{txt}{col 49}Root MSE{col 67}= {res}    1.0022

{txt}{ralign 78:(Std. Err. adjusted for {res:187} clusters in hc_id)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}e_people~v_z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2}-.0249496{col 26}{space 2} .0309475{col 37}{space 1}   -0.81{col 46}{space 3}0.421{col 54}{space 4}-.0860028{col 67}{space 3} .0361037
{txt}b_people~v_z {c |}{col 14}{res}{space 2} .0292208{col 26}{space 2} .0123201{col 37}{space 1}    2.37{col 46}{space 3}0.019{col 54}{space 4} .0049157{col 67}{space 3} .0535258
{txt}b_peop~v_z_d {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 1}c_tfull_hc2 {c |}{col 14}{res}{space 2}-.0389514{col 26}{space 2} .0474608{col 37}{space 1}   -0.82{col 46}{space 3}0.413{col 54}{space 4}-.1325821{col 67}{space 3} .0546792
{txt}c_tfull_b_~l {c |}{col 14}{res}{space 2}-.0002129{col 26}{space 2} .0568898{col 37}{space 1}   -0.00{col 46}{space 3}0.997{col 54}{space 4}-.1124451{col 67}{space 3} .1120192
{txt}c_tfull_b_~s {c |}{col 14}{res}{space 2}-.1091325{col 26}{space 2} .0669413{col 37}{space 1}   -1.63{col 46}{space 3}0.105{col 54}{space 4}-.2411943{col 67}{space 3} .0229294
{txt}c_tfull_b_~d {c |}{col 14}{res}{space 2}-.0220953{col 26}{space 2} .0734531{col 37}{space 1}   -0.30{col 46}{space 3}0.764{col 54}{space 4}-.1670035{col 67}{space 3} .1228129
{txt}c_tfull_ed~r {c |}{col 14}{res}{space 2} .0208857{col 26}{space 2} .0043464{col 37}{space 1}    4.81{col 46}{space 3}0.000{col 54}{space 4} .0123112{col 67}{space 3} .0294603
{txt}c_tfull_b_~x {c |}{col 14}{res}{space 2} .0264848{col 26}{space 2}  .019448{col 37}{space 1}    1.36{col 46}{space 3}0.175{col 54}{space 4}-.0118823{col 67}{space 3} .0648518
{txt}c_trea~l_hc2 {c |}{col 14}{res}{space 2}-.0349274{col 26}{space 2} .0655163{col 37}{space 1}   -0.53{col 46}{space 3}0.595{col 54}{space 4}-.1641779{col 67}{space 3} .0943231
{txt}c_treatful.. {c |}{col 14}{res}{space 2}-.0966267{col 26}{space 2} .0708036{col 37}{space 1}   -1.36{col 46}{space 3}0.174{col 54}{space 4} -.236308{col 67}{space 3} .0430546
{txt}c_treatful.. {c |}{col 14}{res}{space 2} .0532224{col 26}{space 2} .0979526{col 37}{space 1}    0.54{col 46}{space 3}0.588{col 54}{space 4}-.1400185{col 67}{space 3} .2464632
{txt}c_treatful.. {c |}{col 14}{res}{space 2} .0861252{col 26}{space 2} .1043184{col 37}{space 1}    0.83{col 46}{space 3}0.410{col 54}{space 4}-.1196741{col 67}{space 3} .2919245
{txt}c_treatful.. {c |}{col 14}{res}{space 2}-.0119315{col 26}{space 2} .0063807{col 37}{space 1}   -1.87{col 46}{space 3}0.063{col 54}{space 4}-.0245193{col 67}{space 3} .0006563
{txt}c_treatful.. {c |}{col 14}{res}{space 2} .0051202{col 26}{space 2} .0269712{col 37}{space 1}    0.19{col 46}{space 3}0.850{col 54}{space 4}-.0480885{col 67}{space 3} .0583289
{txt}{space 7}_cons {c |}{col 14}{res}{space 2}-.0012775{col 26}{space 2} .0195852{col 37}{space 1}   -0.07{col 46}{space 3}0.948{col 54}{space 4}-.0399152{col 67}{space 3} .0373602
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)
note: b_peoplesay_hc_z_d omitted because of collinearity
{res}
{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}     7,288
{txt}{col 49}F({res}  14{txt},{res}    186{txt}){col 67}= {res}      3.68
{txt}{col 49}Prob > F{col 67}= {res}    0.0000
{txt}{col 49}R-squared{col 67}= {res}    0.0367
{txt}{col 49}Adj R-squared{col 67}= {res}    0.0329
{txt}{col 49}Root MSE{col 67}= {res}    0.9781

{txt}{ralign 78:(Std. Err. adjusted for {res:187} clusters in hc_id)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}e_people~c_z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2} .0075813{col 26}{space 2}  .028057{col 37}{space 1}    0.27{col 46}{space 3}0.787{col 54}{space 4}-.0477695{col 67}{space 3} .0629322
{txt}b_people~c_z {c |}{col 14}{res}{space 2} .0226154{col 26}{space 2} .0125654{col 37}{space 1}    1.80{col 46}{space 3}0.074{col 54}{space 4}-.0021737{col 67}{space 3} .0474045
{txt}b_peop~c_z_d {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 1}c_tfull_hc2 {c |}{col 14}{res}{space 2}  .027887{col 26}{space 2} .0461489{col 37}{space 1}    0.60{col 46}{space 3}0.546{col 54}{space 4}-.0631557{col 67}{space 3} .1189296
{txt}c_tfull_b_~l {c |}{col 14}{res}{space 2} .0099222{col 26}{space 2} .0495017{col 37}{space 1}    0.20{col 46}{space 3}0.841{col 54}{space 4}-.0877347{col 67}{space 3} .1075792
{txt}c_tfull_b_~s {c |}{col 14}{res}{space 2} .0233758{col 26}{space 2} .0549874{col 37}{space 1}    0.43{col 46}{space 3}0.671{col 54}{space 4}-.0851032{col 67}{space 3} .1318549
{txt}c_tfull_b_~d {c |}{col 14}{res}{space 2} .0266947{col 26}{space 2}  .080995{col 37}{space 1}    0.33{col 46}{space 3}0.742{col 54}{space 4}-.1330923{col 67}{space 3} .1864816
{txt}c_tfull_ed~r {c |}{col 14}{res}{space 2} .0182949{col 26}{space 2} .0042284{col 37}{space 1}    4.33{col 46}{space 3}0.000{col 54}{space 4} .0099531{col 67}{space 3} .0266367
{txt}c_tfull_b_~x {c |}{col 14}{res}{space 2} .0312035{col 26}{space 2} .0188867{col 37}{space 1}    1.65{col 46}{space 3}0.100{col 54}{space 4}-.0060562{col 67}{space 3} .0684633
{txt}c_trea~l_hc2 {c |}{col 14}{res}{space 2}-.0714158{col 26}{space 2} .0609795{col 37}{space 1}   -1.17{col 46}{space 3}0.243{col 54}{space 4}-.1917161{col 67}{space 3} .0488845
{txt}c_treatful.. {c |}{col 14}{res}{space 2} -.074968{col 26}{space 2} .0645673{col 37}{space 1}   -1.16{col 46}{space 3}0.247{col 54}{space 4}-.2023463{col 67}{space 3} .0524104
{txt}c_treatful.. {c |}{col 14}{res}{space 2}-.0211041{col 26}{space 2} .0843218{col 37}{space 1}   -0.25{col 46}{space 3}0.803{col 54}{space 4}-.1874542{col 67}{space 3}  .145246
{txt}c_treatful.. {c |}{col 14}{res}{space 2} .0126795{col 26}{space 2} .1036063{col 37}{space 1}    0.12{col 46}{space 3}0.903{col 54}{space 4} -.191715{col 67}{space 3}  .217074
{txt}c_treatful.. {c |}{col 14}{res}{space 2}-.0099356{col 26}{space 2} .0061301{col 37}{space 1}   -1.62{col 46}{space 3}0.107{col 54}{space 4} -.022029{col 67}{space 3} .0021579
{txt}c_treatful.. {c |}{col 14}{res}{space 2} .0080876{col 26}{space 2} .0257429{col 37}{space 1}    0.31{col 46}{space 3}0.754{col 54}{space 4} -.042698{col 67}{space 3} .0588732
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} .0010682{col 26}{space 2} .0182169{col 37}{space 1}    0.06{col 46}{space 3}0.953{col 54}{space 4}-.0348701{col 67}{space 3} .0370065
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{com}.         
.         local y = 6
{txt}
{com}.         foreach x in `efficacy_nobaseline' {c -(}
{txt}  2{com}.                 areg  e_`x' `var' `e_controls_tfull' ``var'_int_e_controls', robust cl(hc_id) a(district)
{txt}  3{com}.                 
.                 local p_`y' = (2 * ttail(e(df_r), abs(_b[`var']/_se[`var'])))
{txt}  4{com}.                 
.                 estimates store m`y'
{txt}  5{com}.                 local y = `y' + 1
{txt}  6{com}.                 {c )-}

{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}     7,288
{txt}{col 49}F({res}  13{txt},{res}    186{txt}){col 67}= {res}      1.65
{txt}{col 49}Prob > F{col 67}= {res}    0.0745
{txt}{col 49}R-squared{col 67}= {res}    0.0248
{txt}{col 49}Adj R-squared{col 67}= {res}    0.0210
{txt}{col 49}Root MSE{col 67}= {res}    0.9931

{txt}{ralign 78:(Std. Err. adjusted for {res:187} clusters in hc_id)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}e_pre~fort_z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2}-.0141667{col 26}{space 2} .0328084{col 37}{space 1}   -0.43{col 46}{space 3}0.666{col 54}{space 4}-.0788911{col 67}{space 3} .0505577
{txt}{space 1}c_tfull_hc2 {c |}{col 14}{res}{space 2} .0389722{col 26}{space 2} .0598349{col 37}{space 1}    0.65{col 46}{space 3}0.516{col 54}{space 4}-.0790701{col 67}{space 3} .1570145
{txt}c_tfull_b_~l {c |}{col 14}{res}{space 2} .0901736{col 26}{space 2}  .074324{col 37}{space 1}    1.21{col 46}{space 3}0.227{col 54}{space 4}-.0564527{col 67}{space 3} .2367999
{txt}c_tfull_b_~s {c |}{col 14}{res}{space 2} .0765695{col 26}{space 2} .0892141{col 37}{space 1}    0.86{col 46}{space 3}0.392{col 54}{space 4}-.0994322{col 67}{space 3} .2525711
{txt}c_tfull_b_~d {c |}{col 14}{res}{space 2} .0523417{col 26}{space 2} .0693851{col 37}{space 1}    0.75{col 46}{space 3}0.452{col 54}{space 4}-.0845412{col 67}{space 3} .1892246
{txt}c_tfull_ed~r {c |}{col 14}{res}{space 2}-.0008375{col 26}{space 2} .0042585{col 37}{space 1}   -0.20{col 46}{space 3}0.844{col 54}{space 4}-.0092386{col 67}{space 3} .0075636
{txt}c_tfull_b_~x {c |}{col 14}{res}{space 2} .0512119{col 26}{space 2}  .021492{col 37}{space 1}    2.38{col 46}{space 3}0.018{col 54}{space 4} .0088125{col 67}{space 3} .0936113
{txt}c_trea~l_hc2 {c |}{col 14}{res}{space 2}-.0083768{col 26}{space 2} .0763248{col 37}{space 1}   -0.11{col 46}{space 3}0.913{col 54}{space 4}-.1589505{col 67}{space 3} .1421969
{txt}c_treatful.. {c |}{col 14}{res}{space 2}-.1754803{col 26}{space 2} .0900353{col 37}{space 1}   -1.95{col 46}{space 3}0.053{col 54}{space 4} -.353102{col 67}{space 3} .0021414
{txt}c_treatful.. {c |}{col 14}{res}{space 2} .0279288{col 26}{space 2} .1071932{col 37}{space 1}    0.26{col 46}{space 3}0.795{col 54}{space 4} -.183542{col 67}{space 3} .2393996
{txt}c_treatful.. {c |}{col 14}{res}{space 2} .0492124{col 26}{space 2} .0938143{col 37}{space 1}    0.52{col 46}{space 3}0.601{col 54}{space 4}-.1358645{col 67}{space 3} .2342893
{txt}c_treatful.. {c |}{col 14}{res}{space 2} .0025592{col 26}{space 2} .0059515{col 37}{space 1}    0.43{col 46}{space 3}0.668{col 54}{space 4} -.009182{col 67}{space 3} .0143003
{txt}c_treatful.. {c |}{col 14}{res}{space 2}-.0328763{col 26}{space 2}  .028704{col 37}{space 1}   -1.15{col 46}{space 3}0.254{col 54}{space 4}-.0895035{col 67}{space 3} .0237509
{txt}{space 7}_cons {c |}{col 14}{res}{space 2}-.0091816{col 26}{space 2} .0227217{col 37}{space 1}   -0.40{col 46}{space 3}0.687{col 54}{space 4}-.0540071{col 67}{space 3} .0356438
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}     7,288
{txt}{col 49}F({res}  13{txt},{res}    186{txt}){col 67}= {res}      1.37
{txt}{col 49}Prob > F{col 67}= {res}    0.1765
{txt}{col 49}R-squared{col 67}= {res}    0.0179
{txt}{col 49}Adj R-squared{col 67}= {res}    0.0142
{txt}{col 49}Root MSE{col 67}= {res}    0.9987

{txt}{ralign 78:(Std. Err. adjusted for {res:187} clusters in hc_id)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}e_pre~port_z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2}-.0315354{col 26}{space 2} .0376637{col 37}{space 1}   -0.84{col 46}{space 3}0.404{col 54}{space 4}-.1058384{col 67}{space 3} .0427676
{txt}{space 1}c_tfull_hc2 {c |}{col 14}{res}{space 2} .0772729{col 26}{space 2} .0614905{col 37}{space 1}    1.26{col 46}{space 3}0.210{col 54}{space 4}-.0440356{col 67}{space 3} .1985813
{txt}c_tfull_b_~l {c |}{col 14}{res}{space 2} .1592076{col 26}{space 2} .0825643{col 37}{space 1}    1.93{col 46}{space 3}0.055{col 54}{space 4}-.0036752{col 67}{space 3} .3220904
{txt}c_tfull_b_~s {c |}{col 14}{res}{space 2}-.0475315{col 26}{space 2} .1015677{col 37}{space 1}   -0.47{col 46}{space 3}0.640{col 54}{space 4}-.2479042{col 67}{space 3} .1528412
{txt}c_tfull_b_~d {c |}{col 14}{res}{space 2}-.0569317{col 26}{space 2} .0674607{col 37}{space 1}   -0.84{col 46}{space 3}0.400{col 54}{space 4}-.1900181{col 67}{space 3} .0761547
{txt}c_tfull_ed~r {c |}{col 14}{res}{space 2} .0021395{col 26}{space 2} .0036634{col 37}{space 1}    0.58{col 46}{space 3}0.560{col 54}{space 4}-.0050877{col 67}{space 3} .0093668
{txt}c_tfull_b_~x {c |}{col 14}{res}{space 2} .0357663{col 26}{space 2} .0196182{col 37}{space 1}    1.82{col 46}{space 3}0.070{col 54}{space 4}-.0029366{col 67}{space 3} .0744691
{txt}c_trea~l_hc2 {c |}{col 14}{res}{space 2}-.0515742{col 26}{space 2} .0833418{col 37}{space 1}   -0.62{col 46}{space 3}0.537{col 54}{space 4}-.2159909{col 67}{space 3} .1128426
{txt}c_treatful.. {c |}{col 14}{res}{space 2} -.264546{col 26}{space 2} .1024853{col 37}{space 1}   -2.58{col 46}{space 3}0.011{col 54}{space 4} -.466729{col 67}{space 3} -.062363
{txt}c_treatful.. {c |}{col 14}{res}{space 2} .0839082{col 26}{space 2} .1267754{col 37}{space 1}    0.66{col 46}{space 3}0.509{col 54}{space 4}-.1661944{col 67}{space 3} .3340107
{txt}c_treatful.. {c |}{col 14}{res}{space 2} .1731994{col 26}{space 2} .0984077{col 37}{space 1}    1.76{col 46}{space 3}0.080{col 54}{space 4}-.0209393{col 67}{space 3} .3673381
{txt}c_treatful.. {c |}{col 14}{res}{space 2}-.0037585{col 26}{space 2} .0054453{col 37}{space 1}   -0.69{col 46}{space 3}0.491{col 54}{space 4} -.014501{col 67}{space 3}  .006984
{txt}c_treatful.. {c |}{col 14}{res}{space 2}-.0386852{col 26}{space 2} .0271779{col 37}{space 1}   -1.42{col 46}{space 3}0.156{col 54}{space 4}-.0923018{col 67}{space 3} .0149314
{txt}{space 7}_cons {c |}{col 14}{res}{space 2}-.0076633{col 26}{space 2} .0258572{col 37}{space 1}   -0.30{col 46}{space 3}0.767{col 54}{space 4}-.0586744{col 67}{space 3} .0433477
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{com}.                 
.         * We create the adjusted p-value following the Benjamini-Hochberg methodology 
.         
.         local y = `y' - 1
{txt}
{com}.         
.         local ps `p_2'
{txt}
{com}.         forvalues x = 3/`y' {c -(}
{txt}  2{com}.                 local ps `ps' \ `p_`x''
{txt}  3{com}.                 {c )-}
{txt}
{com}. 
.         matrix mat = (`ps')
{txt}
{com}.                 
.         * We need to rank the p-value, transpose it and transfer it to local
.         
.         matsort mat 1 "up"
{txt}
{com}.         
.         mat ps_mat = mat'
{txt}
{com}.         
.         mat list ps_mat
{res}
{txt}ps_mat[1,6]
           r2         r1         r6         r3
c1 {res} .21370476  .23280177  .40350483  .42116336

{txt}           r5         r4
c1 {res} .66638698  .78729756
{reset}
{com}.         
.         local ps_rank
{txt}
{com}.         
.         forvalues z = 1/`y' {c -(}
{txt}  2{com}.                 local x = ps_mat[1,`z']
{txt}  3{com}.                 local ps_rank `ps_rank' `x'
{txt}  4{com}.                 {c )-}
{txt}
{com}.                 
.         di "`ps_rank'"
{res}.2137047572836296 .2328017703160111 .4035048289790564 .4211633570301052 .6663869766271658 .7872975605221316 .
{txt}
{com}.         
.         * We count the number of tests (numerator)
.         
.         local num_p = `y' - 1
{txt}
{com}.         
.         * We calculate the BH value
.         
.         local z = 0
{txt}
{com}.         foreach i of local ps_rank {c -(}
{txt}  2{com}.                 local z = `z' + 1 
{txt}  3{com}.                 local adj_p`z' = (`i' * `num_p') / `z'
{txt}  4{com}.                 {c )-}
{txt}
{com}.                 
.         * We compare it according to the rank and eventually replace it
.         
.         forvalues r = 1/`y' {c -(}
{txt}  2{com}.         local d = `y' - 1
{txt}  3{com}.         forvalues z = 1/`d' {c -(}
{txt}  4{com}.                 local v = `z' + 1
{txt}  5{com}.                         if `adj_p`z'' >= `adj_p`v'' {c -(}
{txt}  6{com}.                                 local adj_p`z' `adj_p`v''
{txt}  7{com}.                                 {c )-}
{txt}  8{com}.                         {c )-}
{txt}  9{com}.                         {c )-}
{txt}
{com}.         
.         * We store it in the estimator
.         
.         local z = 0
{txt}
{com}.         foreach i of local ps_rank {c -(}
{txt}  2{com}.                 local z = `z' + 1 
{txt}  3{com}.                 forvalues j = 2/`y' {c -(}
{txt}  4{com}.                         if `i' == `p_`j'' {c -(} 
{txt}  5{com}.                         estimates restore m`j'
{txt}  6{com}.                         estadd scalar adj_p = `adj_p`z''
{txt}  7{com}.                         {c )-}
{txt}  8{com}.                 {c )-}
{txt}  9{com}.                 {c )-}       
{txt}(results {stata estimates replay m3:m3} are active now)

added scalar:
              e(adj_p) =  {res}.63174504
{txt}(results {stata estimates replay m2:m2} are active now)

added scalar:
              e(adj_p) =  {res}.63174504
{txt}(results {stata estimates replay m7:m7} are active now)

added scalar:
              e(adj_p) =  {res}.63174504
{txt}(results {stata estimates replay m4:m4} are active now)

added scalar:
              e(adj_p) =  {res}.63174504
{txt}(results {stata estimates replay m6:m6} are active now)

added scalar:
              e(adj_p) =  {res}.78729756
{txt}(results {stata estimates replay m5:m5} are active now)

added scalar:
              e(adj_p) =  {res}.78729756
{txt}
{com}.                 
.         * We include the adjusted p-value from the main outcomes index
.         
.         estimates restore m1
{txt}(results {stata estimates replay m1:m1} are active now)

{com}.         estadd scalar adj_p = 0.515

{txt}added scalar:
              e(adj_p) =  {res}.515
{txt}
{com}.         
.         *************************************
.         * Table Efficacy outcomes (endline) *
.         *************************************
. 
.         # delimit;
{txt}delimiter now ;
{com}.                 esttab m1 m2 m6 m7 m3 m4 m5
>         using "${c -(}tables{c )-}/TableI18.tex", b(%5.3f) se(%5.3f)
>                 title(Efficacy index -- Subcomponents)
>                 keep(`var' _cons)
>                 varlabels (`var' "Full treatment" _cons "Constant")     
>                 starlevels(* .10 ** .05 *** .01)                
>                 mtitles("\textbf{c -(}\begin{c -(}tabular{c )-}[c]{c -(}@{c -(}{c )-}c@{c -(}{c )-}{c )-}Efficacy\\index\end{c -(}tabular{c )-}{c )-}"
>                                 "\begin{c -(}tabular{c )-}[c]{c -(}@{c -(}{c )-}c@{c -(}{c )-}{c )-}Have power\\to improve\\HC services\end{c -(}tabular{c )-}"
>                                 "\begin{c -(}tabular{c )-}[c]{c -(}@{c -(}{c )-}c@{c -(}{c )-}{c )-}Can pressure\\health worker\\(effort)\end{c -(}tabular{c )-}"
>                                 "\begin{c -(}tabular{c )-}[c]{c -(}@{c -(}{c )-}c@{c -(}{c )-}{c )-}Can pressure\\health worker\\(timely)\end{c -(}tabular{c )-}"
>                                 "\begin{c -(}tabular{c )-}[c]{c -(}@{c -(}{c )-}c@{c -(}{c )-}{c )-}Can make village\\a better place\\to live\end{c -(}tabular{c )-}"
>                                 "\begin{c -(}tabular{c )-}[c]{c -(}@{c -(}{c )-}c@{c -(}{c )-}{c )-}Influence over\\gov. about\\health services\end{c -(}tabular{c )-}"
>                                 "\begin{c -(}tabular{c )-}[c]{c -(}@{c -(}{c )-}c@{c -(}{c )-}{c )-}Influence over\\HC about\\services provided\end{c -(}tabular{c )-}")
>                 stats(N r2 adj_p, labels("N" "R$^{c -(}2{c )-}$" "Adjusted p-value (FT)") fmt(%9.0fc %9.3fc)) label booktabs nonotes replace
>         
>         ;
{res}{txt}(output written to {browse  `"/Users/fredericcochinard/Dropbox/ACT_Health_JOP_replication_file/3.Tables and Figures/Tables/TableI18.tex"'})

{com}.                 # delimit cr
{txt}delimiter now cr
{com}.         
.         **********************************
.         * Table Community responsibility *
.         **********************************
.         
.         * At endline:
.         
.         eststo clear
{txt}
{com}.         
.         local y = 1
{txt}
{com}.         foreach x in `commresp' {c -(}
{txt}  2{com}.                 areg  e_`x' `var' b_`x' b_`x'_d `e_controls_tfull' ``var'_int_e_controls', robust cl(hc_id) a(district)
{txt}  3{com}.                 
.                 local p_`y' = (2 * ttail(e(df_r), abs(_b[`var']/_se[`var'])))
{txt}  4{com}.                 
.                 estimates store m`y'
{txt}  5{com}.                 local y = `y' + 1
{txt}  6{com}.                 {c )-}
{txt}note: b_commresp_z_d omitted because of collinearity
{res}
{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}     7,288
{txt}{col 49}F({res}  14{txt},{res}    186{txt}){col 67}= {res}      7.68
{txt}{col 49}Prob > F{col 67}= {res}    0.0000
{txt}{col 49}R-squared{col 67}= {res}    0.0535
{txt}{col 49}Adj R-squared{col 67}= {res}    0.0497
{txt}{col 49}Root MSE{col 67}= {res}    0.7234

{txt}{ralign 78:(Std. Err. adjusted for {res:187} clusters in hc_id)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}e_commresp_z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2}-.0124472{col 26}{space 2} .0201881{col 37}{space 1}   -0.62{col 46}{space 3}0.538{col 54}{space 4}-.0522742{col 67}{space 3} .0273798
{txt}b_commresp_z {c |}{col 14}{res}{space 2} .0675228{col 26}{space 2}  .011926{col 37}{space 1}    5.66{col 46}{space 3}0.000{col 54}{space 4} .0439951{col 67}{space 3} .0910504
{txt}b_commresp~d {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 1}c_tfull_hc2 {c |}{col 14}{res}{space 2} .0807729{col 26}{space 2} .0374389{col 37}{space 1}    2.16{col 46}{space 3}0.032{col 54}{space 4} .0069135{col 67}{space 3} .1546322
{txt}c_tfull_b_~l {c |}{col 14}{res}{space 2} .0263128{col 26}{space 2}  .045207{col 37}{space 1}    0.58{col 46}{space 3}0.561{col 54}{space 4}-.0628715{col 67}{space 3} .1154971
{txt}c_tfull_b_~s {c |}{col 14}{res}{space 2} .0726373{col 26}{space 2} .0388668{col 37}{space 1}    1.87{col 46}{space 3}0.063{col 54}{space 4}-.0040391{col 67}{space 3} .1493137
{txt}c_tfull_b_~d {c |}{col 14}{res}{space 2} .0114548{col 26}{space 2} .0537486{col 37}{space 1}    0.21{col 46}{space 3}0.831{col 54}{space 4}-.0945805{col 67}{space 3} .1174901
{txt}c_tfull_ed~r {c |}{col 14}{res}{space 2} .0058457{col 26}{space 2} .0026343{col 37}{space 1}    2.22{col 46}{space 3}0.028{col 54}{space 4} .0006489{col 67}{space 3} .0110426
{txt}c_tfull_b_~x {c |}{col 14}{res}{space 2} .0423985{col 26}{space 2} .0140744{col 37}{space 1}    3.01{col 46}{space 3}0.003{col 54}{space 4} .0146325{col 67}{space 3} .0701646
{txt}c_trea~l_hc2 {c |}{col 14}{res}{space 2} .0326363{col 26}{space 2} .0499356{col 37}{space 1}    0.65{col 46}{space 3}0.514{col 54}{space 4}-.0658766{col 67}{space 3} .1311493
{txt}c_treatful.. {c |}{col 14}{res}{space 2} .0076204{col 26}{space 2} .0557696{col 37}{space 1}    0.14{col 46}{space 3}0.891{col 54}{space 4}-.1024019{col 67}{space 3} .1176427
{txt}c_treatful.. {c |}{col 14}{res}{space 2}-.0358925{col 26}{space 2} .0462659{col 37}{space 1}   -0.78{col 46}{space 3}0.439{col 54}{space 4}-.1271659{col 67}{space 3} .0553808
{txt}c_treatful.. {c |}{col 14}{res}{space 2}-.0340861{col 26}{space 2} .0711937{col 37}{space 1}   -0.48{col 46}{space 3}0.633{col 54}{space 4} -.174537{col 67}{space 3} .1063649
{txt}c_treatful.. {c |}{col 14}{res}{space 2} .0050389{col 26}{space 2} .0045091{col 37}{space 1}    1.12{col 46}{space 3}0.265{col 54}{space 4}-.0038567{col 67}{space 3} .0139346
{txt}c_treatful.. {c |}{col 14}{res}{space 2} -.002245{col 26}{space 2} .0187577{col 37}{space 1}   -0.12{col 46}{space 3}0.905{col 54}{space 4}-.0392502{col 67}{space 3} .0347602
{txt}{space 7}_cons {c |}{col 14}{res}{space 2}-.0021831{col 26}{space 2} .0138587{col 37}{space 1}   -0.16{col 46}{space 3}0.875{col 54}{space 4}-.0295235{col 67}{space 3} .0251573
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)
note: b_responsible_z_d omitted because of collinearity
{res}
{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}     7,288
{txt}{col 49}F({res}  14{txt},{res}    186{txt}){col 67}= {res}     18.16
{txt}{col 49}Prob > F{col 67}= {res}    0.0000
{txt}{col 49}R-squared{col 67}= {res}    0.0592
{txt}{col 49}Adj R-squared{col 67}= {res}    0.0554
{txt}{col 49}Root MSE{col 67}= {res}    0.9717

{txt}{ralign 78:(Std. Err. adjusted for {res:187} clusters in hc_id)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}e_responsi~z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2} .0136594{col 26}{space 2} .0270237{col 37}{space 1}    0.51{col 46}{space 3}0.614{col 54}{space 4}-.0396529{col 67}{space 3} .0669718
{txt}b_responsi~z {c |}{col 14}{res}{space 2} .1011522{col 26}{space 2} .0126021{col 37}{space 1}    8.03{col 46}{space 3}0.000{col 54}{space 4} .0762909{col 67}{space 3} .1260136
{txt}b_respon~z_d {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 1}c_tfull_hc2 {c |}{col 14}{res}{space 2} .0503407{col 26}{space 2} .0504623{col 37}{space 1}    1.00{col 46}{space 3}0.320{col 54}{space 4}-.0492114{col 67}{space 3} .1498927
{txt}c_tfull_b_~l {c |}{col 14}{res}{space 2} .0077026{col 26}{space 2} .0536834{col 37}{space 1}    0.14{col 46}{space 3}0.886{col 54}{space 4} -.098204{col 67}{space 3} .1136091
{txt}c_tfull_b_~s {c |}{col 14}{res}{space 2} .0985738{col 26}{space 2} .0501072{col 37}{space 1}    1.97{col 46}{space 3}0.051{col 54}{space 4}-.0002777{col 67}{space 3} .1974252
{txt}c_tfull_b_~d {c |}{col 14}{res}{space 2} .0558208{col 26}{space 2} .0735345{col 37}{space 1}    0.76{col 46}{space 3}0.449{col 54}{space 4}-.0892481{col 67}{space 3} .2008896
{txt}c_tfull_ed~r {c |}{col 14}{res}{space 2} .0096445{col 26}{space 2} .0033838{col 37}{space 1}    2.85{col 46}{space 3}0.005{col 54}{space 4} .0029689{col 67}{space 3} .0163201
{txt}c_tfull_b_~x {c |}{col 14}{res}{space 2} .0538397{col 26}{space 2} .0184327{col 37}{space 1}    2.92{col 46}{space 3}0.004{col 54}{space 4} .0174757{col 67}{space 3} .0902037
{txt}c_trea~l_hc2 {c |}{col 14}{res}{space 2} .0668091{col 26}{space 2}  .065808{col 37}{space 1}    1.02{col 46}{space 3}0.311{col 54}{space 4}-.0630169{col 67}{space 3}  .196635
{txt}c_treatful.. {c |}{col 14}{res}{space 2} .0502875{col 26}{space 2} .0673294{col 37}{space 1}    0.75{col 46}{space 3}0.456{col 54}{space 4}  -.08254{col 67}{space 3}  .183115
{txt}c_treatful.. {c |}{col 14}{res}{space 2}-.0470173{col 26}{space 2} .0700633{col 37}{space 1}   -0.67{col 46}{space 3}0.503{col 54}{space 4}-.1852381{col 67}{space 3} .0912035
{txt}c_treatful.. {c |}{col 14}{res}{space 2}-.0275761{col 26}{space 2}  .099967{col 37}{space 1}   -0.28{col 46}{space 3}0.783{col 54}{space 4}-.2247909{col 67}{space 3} .1696388
{txt}c_treatful.. {c |}{col 14}{res}{space 2} .0084725{col 26}{space 2} .0059735{col 37}{space 1}    1.42{col 46}{space 3}0.158{col 54}{space 4} -.003312{col 67}{space 3}  .020257
{txt}c_treatful.. {c |}{col 14}{res}{space 2} .0366781{col 26}{space 2} .0252421{col 37}{space 1}    1.45{col 46}{space 3}0.148{col 54}{space 4}-.0131195{col 67}{space 3} .0864757
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} .0012741{col 26}{space 2} .0190073{col 37}{space 1}    0.07{col 46}{space 3}0.947{col 54}{space 4}-.0362234{col 67}{space 3} .0387716
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)
note: b_commembers_resp_z_d omitted because of collinearity
{res}
{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}     7,288
{txt}{col 49}F({res}  14{txt},{res}    186{txt}){col 67}= {res}      2.25
{txt}{col 49}Prob > F{col 67}= {res}    0.0076
{txt}{col 49}R-squared{col 67}= {res}    0.0386
{txt}{col 49}Adj R-squared{col 67}= {res}    0.0348
{txt}{col 49}Root MSE{col 67}= {res}    0.9605

{txt}{ralign 78:(Std. Err. adjusted for {res:187} clusters in hc_id)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}e_commembe~z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2} -.037097{col 26}{space 2} .0257714{col 37}{space 1}   -1.44{col 46}{space 3}0.152{col 54}{space 4}-.0879388{col 67}{space 3} .0137448
{txt}b_commembe~z {c |}{col 14}{res}{space 2} .0345668{col 26}{space 2}   .01396{col 37}{space 1}    2.48{col 46}{space 3}0.014{col 54}{space 4} .0070266{col 67}{space 3} .0621071
{txt}b_commem~z_d {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 1}c_tfull_hc2 {c |}{col 14}{res}{space 2} .1062816{col 26}{space 2} .0550668{col 37}{space 1}    1.93{col 46}{space 3}0.055{col 54}{space 4}-.0023542{col 67}{space 3} .2149174
{txt}c_tfull_b_~l {c |}{col 14}{res}{space 2}  .041492{col 26}{space 2} .0630023{col 37}{space 1}    0.66{col 46}{space 3}0.511{col 54}{space 4}-.0827988{col 67}{space 3} .1657829
{txt}c_tfull_b_~s {c |}{col 14}{res}{space 2} .0465099{col 26}{space 2}  .049369{col 37}{space 1}    0.94{col 46}{space 3}0.347{col 54}{space 4}-.0508853{col 67}{space 3} .1439052
{txt}c_tfull_b_~d {c |}{col 14}{res}{space 2}-.0305837{col 26}{space 2} .0620294{col 37}{space 1}   -0.49{col 46}{space 3}0.623{col 54}{space 4}-.1529553{col 67}{space 3} .0917878
{txt}c_tfull_ed~r {c |}{col 14}{res}{space 2} .0016201{col 26}{space 2} .0036165{col 37}{space 1}    0.45{col 46}{space 3}0.655{col 54}{space 4}-.0055145{col 67}{space 3} .0087547
{txt}c_tfull_b_~x {c |}{col 14}{res}{space 2} .0278815{col 26}{space 2} .0185871{col 37}{space 1}    1.50{col 46}{space 3}0.135{col 54}{space 4}-.0087872{col 67}{space 3} .0645502
{txt}c_trea~l_hc2 {c |}{col 14}{res}{space 2} .0027766{col 26}{space 2} .0681045{col 37}{space 1}    0.04{col 46}{space 3}0.968{col 54}{space 4}  -.13158{col 67}{space 3} .1371333
{txt}c_treatful.. {c |}{col 14}{res}{space 2}-.0331614{col 26}{space 2} .0779339{col 37}{space 1}   -0.43{col 46}{space 3}0.671{col 54}{space 4}-.1869094{col 67}{space 3} .1205866
{txt}c_treatful.. {c |}{col 14}{res}{space 2}-.0285548{col 26}{space 2} .0736188{col 37}{space 1}   -0.39{col 46}{space 3}0.699{col 54}{space 4}  -.17379{col 67}{space 3} .1166805
{txt}c_treatful.. {c |}{col 14}{res}{space 2}-.0407354{col 26}{space 2}  .086995{col 37}{space 1}   -0.47{col 46}{space 3}0.640{col 54}{space 4}-.2123592{col 67}{space 3} .1308885
{txt}c_treatful.. {c |}{col 14}{res}{space 2} .0017391{col 26}{space 2} .0059887{col 37}{space 1}    0.29{col 46}{space 3}0.772{col 54}{space 4}-.0100754{col 67}{space 3} .0135536
{txt}c_treatful.. {c |}{col 14}{res}{space 2}-.0397879{col 26}{space 2}  .024332{col 37}{space 1}   -1.64{col 46}{space 3}0.104{col 54}{space 4}-.0877902{col 67}{space 3} .0082143
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} -.006001{col 26}{space 2} .0175982{col 37}{space 1}   -0.34{col 46}{space 3}0.733{col 54}{space 4}-.0407187{col 67}{space 3} .0287168
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{com}.         
.         * We create the adjusted p-value following the Benjamini-Hochberg methodology 
.         
.         local y = `y' - 1
{txt}
{com}.         
.         local ps `p_2'
{txt}
{com}.         forvalues x = 3/`y' {c -(}
{txt}  2{com}.                 local ps `ps' \ `p_`x''
{txt}  3{com}.                 {c )-}
{txt}
{com}. 
.         matrix mat = (`ps')
{txt}
{com}.                 
.         * We need to rank the p-value, transpose it and transfer it to local
.         
.         matsort mat 1 "up"
{txt}
{com}.         
.         mat ps_mat = mat'
{txt}
{com}.         
.         mat list ps_mat
{res}
{txt}ps_mat[1,2]
           r2         r1
c1 {res} .15169933  .61383306
{reset}
{com}.         
.         local ps_rank
{txt}
{com}.         
.         forvalues z = 1/`y' {c -(}
{txt}  2{com}.                 local x = ps_mat[1,`z']
{txt}  3{com}.                 local ps_rank `ps_rank' `x'
{txt}  4{com}.                 {c )-}
{txt}
{com}.                 
.         di "`ps_rank'"
{res}.1516993283494927 .6138330584720615 .
{txt}
{com}.         
.         * We count the number of tests (numerator)
.         
.         local num_p = `y' - 1
{txt}
{com}.         
.         * We calculate the BH value
.         
.         local z = 0
{txt}
{com}.         foreach i of local ps_rank {c -(}
{txt}  2{com}.                 local z = `z' + 1 
{txt}  3{com}.                 local adj_p`z' = (`i' * `num_p') / `z'
{txt}  4{com}.                 {c )-}
{txt}
{com}.                 
.         * We compare it according to the rank and eventually replace it
.         
.         forvalues r = 1/`y' {c -(}
{txt}  2{com}.         local d = `y' - 1
{txt}  3{com}.         forvalues z = 1/`d' {c -(}
{txt}  4{com}.                 local v = `z' + 1
{txt}  5{com}.                         if `adj_p`z'' >= `adj_p`v'' {c -(}
{txt}  6{com}.                                 local adj_p`z' `adj_p`v''
{txt}  7{com}.                                 {c )-}
{txt}  8{com}.                         {c )-}
{txt}  9{com}.                         {c )-}
{txt}
{com}.         
.         * We store it in the estimator
.         
.         local z = 0
{txt}
{com}.         foreach i of local ps_rank {c -(}
{txt}  2{com}.                 local z = `z' + 1 
{txt}  3{com}.                 forvalues j = 2/`y' {c -(}
{txt}  4{com}.                         if `i' == `p_`j'' {c -(} 
{txt}  5{com}.                         estimates restore m`j'
{txt}  6{com}.                         estadd scalar adj_p = `adj_p`z''
{txt}  7{com}.                         {c )-}
{txt}  8{com}.                 {c )-}
{txt}  9{com}.                 {c )-}       
{txt}(results {stata estimates replay m3:m3} are active now)

added scalar:
              e(adj_p) =  {res}.30339866
{txt}(results {stata estimates replay m2:m2} are active now)

added scalar:
              e(adj_p) =  {res}.61383306
{txt}
{com}.         
.         * We include the adjusted p-value from the main outcomes index
.         
.         estimates restore m1
{txt}(results {stata estimates replay m1:m1} are active now)

{com}.         estadd scalar adj_p = 0.646

{txt}added scalar:
              e(adj_p) =  {res}.646
{txt}
{com}.         
.         **************************************
.         * Table Comm resp outcomes (endline) *
.         **************************************
. 
.         # delimit;
{txt}delimiter now ;
{com}.                 esttab m1 m2 m3
>         using "${c -(}tables{c )-}/TableI19.tex", b(%5.3f) se(%5.3f)
>                 title(Community responsibility index -- Subcomponents)
>                 keep(`var' _cons)
>                 varlabels (`var' "Full treatment" _cons "Constant")     
>                 starlevels(* .10 ** .05 *** .01)                
>                 mtitles("\textbf{c -(}\begin{c -(}tabular{c )-}[c]{c -(}@{c -(}{c )-}c@{c -(}{c )-}{c )-}Community\\responsibility\\index\end{c -(}tabular{c )-}{c )-}"
>                                 "\begin{c -(}tabular{c )-}[c]{c -(}@{c -(}{c )-}c@{c -(}{c )-}{c )-}Community resp.\\for monitoring\\HC\end{c -(}tabular{c )-}"
>                                 "\begin{c -(}tabular{c )-}[c]{c -(}@{c -(}{c )-}c@{c -(}{c )-}{c )-}Community\\members also\\responsible\end{c -(}tabular{c )-}")
>                 stats(N r2 adj_p, labels("N" "R$^{c -(}2{c )-}$" "Adjusted p-value (FT)") fmt(%9.0fc %9.3fc)) label booktabs nonotes replace
>         
>         ;
{res}{txt}(output written to {browse  `"/Users/fredericcochinard/Dropbox/ACT_Health_JOP_replication_file/3.Tables and Figures/Tables/TableI19.tex"'})

{com}.                 # delimit cr
{txt}delimiter now cr
{com}.         
.         **********************
.         * Table Relationship *
.         **********************
. 
.         * At endline:
.         
.         eststo clear
{txt}
{com}.         
.         local y = 1
{txt}
{com}.         foreach x in `relship' {c -(}
{txt}  2{com}.                 areg  e_`x' `var' b_`x' b_`x'_d `e_controls_tfull' ``var'_int_e_controls', robust cl(hc_id) a(district)
{txt}  3{com}.                 
.                 local p_`y' = (2 * ttail(e(df_r), abs(_b[`var']/_se[`var'])))
{txt}  4{com}.                 
.                 estimates store m`y'
{txt}  5{com}.                 local y = `y' + 1
{txt}  6{com}.                 {c )-}
{txt}note: b_relhhhc_z_d omitted because of collinearity
{res}
{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}     7,288
{txt}{col 49}F({res}  14{txt},{res}    186{txt}){col 67}= {res}      3.93
{txt}{col 49}Prob > F{col 67}= {res}    0.0000
{txt}{col 49}R-squared{col 67}= {res}    0.0468
{txt}{col 49}Adj R-squared{col 67}= {res}    0.0430
{txt}{col 49}Root MSE{col 67}= {res}    0.5404

{txt}{ralign 78:(Std. Err. adjusted for {res:187} clusters in hc_id)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1} e_relhhhc_z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2} .0397798{col 26}{space 2} .0388133{col 37}{space 1}    1.02{col 46}{space 3}0.307{col 54}{space 4} -.036791{col 67}{space 3} .1163506
{txt}{space 1}b_relhhhc_z {c |}{col 14}{res}{space 2} .0970355{col 26}{space 2} .0183079{col 37}{space 1}    5.30{col 46}{space 3}0.000{col 54}{space 4} .0609177{col 67}{space 3} .1331533
{txt}b_relhhhc_~d {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 1}c_tfull_hc2 {c |}{col 14}{res}{space 2} .0830998{col 26}{space 2} .0753903{col 37}{space 1}    1.10{col 46}{space 3}0.272{col 54}{space 4}-.0656302{col 67}{space 3} .2318299
{txt}c_tfull_b_~l {c |}{col 14}{res}{space 2} .0539957{col 26}{space 2} .0852405{col 37}{space 1}    0.63{col 46}{space 3}0.527{col 54}{space 4}-.1141668{col 67}{space 3} .2221582
{txt}c_tfull_b_~s {c |}{col 14}{res}{space 2}-.0143133{col 26}{space 2} .1169484{col 37}{space 1}   -0.12{col 46}{space 3}0.903{col 54}{space 4}-.2450291{col 67}{space 3} .2164025
{txt}c_tfull_b_~d {c |}{col 14}{res}{space 2} .1062338{col 26}{space 2} .0359569{col 37}{space 1}    2.95{col 46}{space 3}0.004{col 54}{space 4}  .035298{col 67}{space 3} .1771696
{txt}c_tfull_ed~r {c |}{col 14}{res}{space 2} .0013811{col 26}{space 2} .0030701{col 37}{space 1}    0.45{col 46}{space 3}0.653{col 54}{space 4}-.0046756{col 67}{space 3} .0074379
{txt}c_tfull_b_~x {c |}{col 14}{res}{space 2} -.001922{col 26}{space 2} .0169817{col 37}{space 1}   -0.11{col 46}{space 3}0.910{col 54}{space 4}-.0354234{col 67}{space 3} .0315795
{txt}c_trea~l_hc2 {c |}{col 14}{res}{space 2}-.0901443{col 26}{space 2}  .090385{col 37}{space 1}   -1.00{col 46}{space 3}0.320{col 54}{space 4}-.2684559{col 67}{space 3} .0881673
{txt}c_treatful.. {c |}{col 14}{res}{space 2} -.106867{col 26}{space 2}   .09599{col 37}{space 1}   -1.11{col 46}{space 3}0.267{col 54}{space 4} -.296236{col 67}{space 3}  .082502
{txt}c_treatful.. {c |}{col 14}{res}{space 2} .1364586{col 26}{space 2}  .113666{col 37}{space 1}    1.20{col 46}{space 3}0.231{col 54}{space 4}-.0877817{col 67}{space 3}  .360699
{txt}c_treatful.. {c |}{col 14}{res}{space 2}-.0523522{col 26}{space 2} .0540546{col 37}{space 1}   -0.97{col 46}{space 3}0.334{col 54}{space 4}-.1589912{col 67}{space 3} .0542867
{txt}c_treatful.. {c |}{col 14}{res}{space 2}-.0055561{col 26}{space 2} .0039364{col 37}{space 1}   -1.41{col 46}{space 3}0.160{col 54}{space 4}-.0133218{col 67}{space 3} .0022096
{txt}c_treatful.. {c |}{col 14}{res}{space 2}  .022563{col 26}{space 2} .0222554{col 37}{space 1}    1.01{col 46}{space 3}0.312{col 54}{space 4}-.0213426{col 67}{space 3} .0664685
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} .0039083{col 26}{space 2} .0275339{col 37}{space 1}    0.14{col 46}{space 3}0.887{col 54}{space 4}-.0504106{col 67}{space 3} .0582272
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)
note: b_sat_rel_z_d omitted because of collinearity
{res}
{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}     7,288
{txt}{col 49}F({res}  14{txt},{res}    186{txt}){col 67}= {res}     12.62
{txt}{col 49}Prob > F{col 67}= {res}    0.0000
{txt}{col 49}R-squared{col 67}= {res}    0.0433
{txt}{col 49}Adj R-squared{col 67}= {res}    0.0395
{txt}{col 49}Root MSE{col 67}= {res}    0.9666

{txt}{ralign 78:(Std. Err. adjusted for {res:187} clusters in hc_id)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1} e_sat_rel_z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2} .0596145{col 26}{space 2} .0309889{col 37}{space 1}    1.92{col 46}{space 3}0.056{col 54}{space 4}-.0015204{col 67}{space 3} .1207494
{txt}{space 1}b_sat_rel_z {c |}{col 14}{res}{space 2} .1472605{col 26}{space 2} .0128849{col 37}{space 1}   11.43{col 46}{space 3}0.000{col 54}{space 4} .1218412{col 67}{space 3} .1726797
{txt}b_sat_re~z_d {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 1}c_tfull_hc2 {c |}{col 14}{res}{space 2}  .009184{col 26}{space 2}  .055659{col 37}{space 1}    0.17{col 46}{space 3}0.869{col 54}{space 4}-.1006201{col 67}{space 3} .1189882
{txt}c_tfull_b_~l {c |}{col 14}{res}{space 2} .1125961{col 26}{space 2} .0768039{col 37}{space 1}    1.47{col 46}{space 3}0.144{col 54}{space 4}-.0389226{col 67}{space 3} .2641149
{txt}c_tfull_b_~s {c |}{col 14}{res}{space 2} .0330096{col 26}{space 2} .0865339{col 37}{space 1}    0.38{col 46}{space 3}0.703{col 54}{space 4}-.1377044{col 67}{space 3} .2037237
{txt}c_tfull_b_~d {c |}{col 14}{res}{space 2} .1915113{col 26}{space 2} .0608837{col 37}{space 1}    3.15{col 46}{space 3}0.002{col 54}{space 4} .0713999{col 67}{space 3} .3116226
{txt}c_tfull_ed~r {c |}{col 14}{res}{space 2}-.0006886{col 26}{space 2} .0049958{col 37}{space 1}   -0.14{col 46}{space 3}0.891{col 54}{space 4}-.0105443{col 67}{space 3} .0091671
{txt}c_tfull_b_~x {c |}{col 14}{res}{space 2} .0266706{col 26}{space 2} .0186418{col 37}{space 1}    1.43{col 46}{space 3}0.154{col 54}{space 4} -.010106{col 67}{space 3} .0634472
{txt}c_trea~l_hc2 {c |}{col 14}{res}{space 2}-.0577008{col 26}{space 2}  .071144{col 37}{space 1}   -0.81{col 46}{space 3}0.418{col 54}{space 4}-.1980536{col 67}{space 3} .0826521
{txt}c_treatful.. {c |}{col 14}{res}{space 2}-.1954289{col 26}{space 2} .0914091{col 37}{space 1}   -2.14{col 46}{space 3}0.034{col 54}{space 4}-.3757609{col 67}{space 3} -.015097
{txt}c_treatful.. {c |}{col 14}{res}{space 2} .1133967{col 26}{space 2} .1124735{col 37}{space 1}    1.01{col 46}{space 3}0.315{col 54}{space 4}-.1084911{col 67}{space 3} .3352845
{txt}c_treatful.. {c |}{col 14}{res}{space 2}-.1317962{col 26}{space 2} .0893796{col 37}{space 1}   -1.47{col 46}{space 3}0.142{col 54}{space 4}-.3081243{col 67}{space 3}  .044532
{txt}c_treatful.. {c |}{col 14}{res}{space 2} .0052718{col 26}{space 2} .0061875{col 37}{space 1}    0.85{col 46}{space 3}0.395{col 54}{space 4}-.0069349{col 67}{space 3} .0174785
{txt}c_treatful.. {c |}{col 14}{res}{space 2} .0115636{col 26}{space 2} .0243451{col 37}{space 1}    0.47{col 46}{space 3}0.635{col 54}{space 4}-.0364644{col 67}{space 3} .0595916
{txt}{space 7}_cons {c |}{col 14}{res}{space 2}-.0003224{col 26}{space 2} .0213674{col 37}{space 1}   -0.02{col 46}{space 3}0.988{col 54}{space 4}-.0424761{col 67}{space 3} .0418312
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)
note: b_trust_hw_z_d omitted because of collinearity
{res}
{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}     7,288
{txt}{col 49}F({res}  14{txt},{res}    186{txt}){col 67}= {res}     15.37
{txt}{col 49}Prob > F{col 67}= {res}    0.0000
{txt}{col 49}R-squared{col 67}= {res}    0.0456
{txt}{col 49}Adj R-squared{col 67}= {res}    0.0418
{txt}{col 49}Root MSE{col 67}= {res}    0.9766

{txt}{ralign 78:(Std. Err. adjusted for {res:187} clusters in hc_id)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}e_trust_hw_z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2}  .075859{col 26}{space 2} .0350531{col 37}{space 1}    2.16{col 46}{space 3}0.032{col 54}{space 4} .0067061{col 67}{space 3} .1450118
{txt}b_trust_hw_z {c |}{col 14}{res}{space 2} .1636827{col 26}{space 2} .0124953{col 37}{space 1}   13.10{col 46}{space 3}0.000{col 54}{space 4} .1390319{col 67}{space 3} .1883334
{txt}b_trust_~z_d {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 1}c_tfull_hc2 {c |}{col 14}{res}{space 2} .1899016{col 26}{space 2} .0696475{col 37}{space 1}    2.73{col 46}{space 3}0.007{col 54}{space 4} .0525011{col 67}{space 3} .3273021
{txt}c_tfull_b_~l {c |}{col 14}{res}{space 2} .0565056{col 26}{space 2} .0888259{col 37}{space 1}    0.64{col 46}{space 3}0.525{col 54}{space 4}-.1187302{col 67}{space 3} .2317415
{txt}c_tfull_b_~s {c |}{col 14}{res}{space 2} .0469662{col 26}{space 2} .0911988{col 37}{space 1}    0.51{col 46}{space 3}0.607{col 54}{space 4}-.1329509{col 67}{space 3} .2268832
{txt}c_tfull_b_~d {c |}{col 14}{res}{space 2} .1372265{col 26}{space 2} .0626328{col 37}{space 1}    2.19{col 46}{space 3}0.030{col 54}{space 4} .0136645{col 67}{space 3} .2607885
{txt}c_tfull_ed~r {c |}{col 14}{res}{space 2} -.004192{col 26}{space 2} .0040868{col 37}{space 1}   -1.03{col 46}{space 3}0.306{col 54}{space 4}-.0122544{col 67}{space 3} .0038704
{txt}c_tfull_b_~x {c |}{col 14}{res}{space 2} .0236563{col 26}{space 2} .0203095{col 37}{space 1}    1.16{col 46}{space 3}0.246{col 54}{space 4}-.0164103{col 67}{space 3} .0637228
{txt}c_trea~l_hc2 {c |}{col 14}{res}{space 2}-.1616611{col 26}{space 2} .0847006{col 37}{space 1}   -1.91{col 46}{space 3}0.058{col 54}{space 4}-.3287584{col 67}{space 3} .0054362
{txt}c_treatful.. {c |}{col 14}{res}{space 2} -.109036{col 26}{space 2}  .106814{col 37}{space 1}   -1.02{col 46}{space 3}0.309{col 54}{space 4}-.3197586{col 67}{space 3} .1016867
{txt}c_treatful.. {c |}{col 14}{res}{space 2} .0307758{col 26}{space 2} .1175663{col 37}{space 1}    0.26{col 46}{space 3}0.794{col 54}{space 4} -.201159{col 67}{space 3} .2627106
{txt}c_treatful.. {c |}{col 14}{res}{space 2}-.0791094{col 26}{space 2} .0990034{col 37}{space 1}   -0.80{col 46}{space 3}0.425{col 54}{space 4}-.2744233{col 67}{space 3} .1162045
{txt}c_treatful.. {c |}{col 14}{res}{space 2}-.0042594{col 26}{space 2} .0056649{col 37}{space 1}   -0.75{col 46}{space 3}0.453{col 54}{space 4}-.0154351{col 67}{space 3} .0069164
{txt}c_treatful.. {c |}{col 14}{res}{space 2} .0011021{col 26}{space 2} .0281883{col 37}{space 1}    0.04{col 46}{space 3}0.969{col 54}{space 4}-.0545078{col 67}{space 3} .0567121
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} .0058885{col 26}{space 2} .0244751{col 37}{space 1}    0.24{col 46}{space 3}0.810{col 54}{space 4}-.0423959{col 67}{space 3}  .054173
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}     7,288
{txt}{col 49}F({res}  15{txt},{res}    186{txt}){col 67}= {res}      0.90
{txt}{col 49}Prob > F{col 67}= {res}    0.5674
{txt}{col 49}R-squared{col 67}= {res}    0.0095
{txt}{col 49}Adj R-squared{col 67}= {res}    0.0054
{txt}{col 49}Root MSE{col 67}= {res}    0.9742

{txt}{ralign 78:(Std. Err. adjusted for {res:187} clusters in hc_id)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}e_complain_z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2} .0011767{col 26}{space 2}  .029844{col 37}{space 1}    0.04{col 46}{space 3}0.969{col 54}{space 4}-.0576995{col 67}{space 3}  .060053
{txt}b_complain_z {c |}{col 14}{res}{space 2} .0028515{col 26}{space 2} .0130804{col 37}{space 1}    0.22{col 46}{space 3}0.828{col 54}{space 4}-.0229536{col 67}{space 3} .0286565
{txt}b_compla~z_d {c |}{col 14}{res}{space 2}  .011203{col 26}{space 2} .0247319{col 37}{space 1}    0.45{col 46}{space 3}0.651{col 54}{space 4}-.0375881{col 67}{space 3} .0599942
{txt}{space 1}c_tfull_hc2 {c |}{col 14}{res}{space 2} .0984746{col 26}{space 2} .0513562{col 37}{space 1}    1.92{col 46}{space 3}0.057{col 54}{space 4}-.0028409{col 67}{space 3} .1997901
{txt}c_tfull_b_~l {c |}{col 14}{res}{space 2}   .00989{col 26}{space 2} .0639367{col 37}{space 1}    0.15{col 46}{space 3}0.877{col 54}{space 4}-.1162443{col 67}{space 3} .1360242
{txt}c_tfull_b_~s {c |}{col 14}{res}{space 2} .0048928{col 26}{space 2} .0653824{col 37}{space 1}    0.07{col 46}{space 3}0.940{col 54}{space 4}-.1240936{col 67}{space 3} .1338792
{txt}c_tfull_b_~d {c |}{col 14}{res}{space 2} .1498428{col 26}{space 2}  .101764{col 37}{space 1}    1.47{col 46}{space 3}0.143{col 54}{space 4}-.0509173{col 67}{space 3}  .350603
{txt}c_tfull_ed~r {c |}{col 14}{res}{space 2} .0044077{col 26}{space 2} .0050706{col 37}{space 1}    0.87{col 46}{space 3}0.386{col 54}{space 4}-.0055956{col 67}{space 3}  .014411
{txt}c_tfull_b_~x {c |}{col 14}{res}{space 2}  .016301{col 26}{space 2} .0177156{col 37}{space 1}    0.92{col 46}{space 3}0.359{col 54}{space 4}-.0186482{col 67}{space 3} .0512503
{txt}c_trea~l_hc2 {c |}{col 14}{res}{space 2}-.0033824{col 26}{space 2} .0665917{col 37}{space 1}   -0.05{col 46}{space 3}0.960{col 54}{space 4}-.1347545{col 67}{space 3} .1279897
{txt}c_treatful.. {c |}{col 14}{res}{space 2} .0202045{col 26}{space 2} .0844943{col 37}{space 1}    0.24{col 46}{space 3}0.811{col 54}{space 4}-.1464859{col 67}{space 3} .1868948
{txt}c_treatful.. {c |}{col 14}{res}{space 2} .0388785{col 26}{space 2} .0880078{col 37}{space 1}    0.44{col 46}{space 3}0.659{col 54}{space 4}-.1347432{col 67}{space 3} .2125003
{txt}c_treatful.. {c |}{col 14}{res}{space 2} -.057246{col 26}{space 2} .1200223{col 37}{space 1}   -0.48{col 46}{space 3}0.634{col 54}{space 4}-.2940261{col 67}{space 3}  .179534
{txt}c_treatful.. {c |}{col 14}{res}{space 2}-.0075423{col 26}{space 2} .0065652{col 37}{space 1}   -1.15{col 46}{space 3}0.252{col 54}{space 4}-.0204942{col 67}{space 3} .0054096
{txt}c_treatful.. {c |}{col 14}{res}{space 2} .0034444{col 26}{space 2}  .025392{col 37}{space 1}    0.14{col 46}{space 3}0.892{col 54}{space 4} -.046649{col 67}{space 3} .0535378
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} .0000863{col 26}{space 2} .0235545{col 37}{space 1}    0.00{col 46}{space 3}0.997{col 54}{space 4} -.046382{col 67}{space 3} .0465546
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{com}.                 
.         local y = 5
{txt}
{com}.         foreach x in `relship_hclevel' {c -(}
{txt}  2{com}.                 areg  e_`x' `var' b_`x' b_`x'_d `e_controls_tfull_hc' ``var'_hc_int_e_controls' if uniquehc == 1, robust a(district)
{txt}  3{com}.                 
.                 local p_`y' = (2 * ttail(e(df_r), abs(_b[`var']/_se[`var'])))
{txt}  4{com}.                 
.                 estimates store m`y'
{txt}  5{com}.                 {c )-}
{p 0 6 2}{txt}note: b_h_satisfiedrel_z_d omitted because of collinearity{p_end}
{res}
{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}       187
{txt}{col 49}F({res}  14{txt},{res}    157{txt}){col 67}= {res}      0.77
{txt}{col 49}Prob > F{col 67}= {res}    0.7020
{txt}{col 49}R-squared{col 67}= {res}    0.1665
{txt}{col 49}Adj R-squared{col 67}= {res}    0.0126
{txt}{col 49}Root MSE{col 67}= {res}    0.9976

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}e_h_satisf~z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2}-.0419599{col 26}{space 2} .1463403{col 37}{space 1}   -0.29{col 46}{space 3}0.775{col 54}{space 4}-.3310096{col 67}{space 3} .2470898
{txt}b_h_satisf~z {c |}{col 14}{res}{space 2} -.074918{col 26}{space 2} .0374094{col 37}{space 1}   -2.00{col 46}{space 3}0.047{col 54}{space 4}-.1488087{col 67}{space 3}-.0010272
{txt}b_h_sati~z_d {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
c_tf~_hc_hc2 {c |}{col 14}{res}{space 2}-.0690156{col 26}{space 2} .2884683{col 37}{space 1}   -0.24{col 46}{space 3}0.811{col 54}{space 4}-.6387951{col 67}{space 3} .5007639
{txt}c_tfull_hc~l {c |}{col 14}{res}{space 2}-.1258013{col 26}{space 2}  .301514{col 37}{space 1}   -0.42{col 46}{space 3}0.677{col 54}{space 4}-.7213485{col 67}{space 3} .4697458
{txt}c_tfull_hc~s {c |}{col 14}{res}{space 2}-.2150251{col 26}{space 2} .4390501{col 37}{space 1}   -0.49{col 46}{space 3}0.625{col 54}{space 4}-1.082232{col 67}{space 3}  .652182
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2}-.6563295{col 26}{space 2} .6124245{col 37}{space 1}   -1.07{col 46}{space 3}0.286{col 54}{space 4}-1.865984{col 67}{space 3} .5533248
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2} .1620102{col 26}{space 2} .1310291{col 37}{space 1}    1.24{col 46}{space 3}0.218{col 54}{space 4} -.096797{col 67}{space 3} .4208174
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2} -.739368{col 26}{space 2} .4662105{col 37}{space 1}   -1.59{col 46}{space 3}0.115{col 54}{space 4}-1.660222{col 67}{space 3} .1814859
{txt}c_treatful.. {c |}{col 14}{res}{space 2} .0391001{col 26}{space 2} .3585313{col 37}{space 1}    0.11{col 46}{space 3}0.913{col 54}{space 4}-.6690671{col 67}{space 3} .7472672
{txt}c_treatful.. {c |}{col 14}{res}{space 2} .1951284{col 26}{space 2} .3614227{col 37}{space 1}    0.54{col 46}{space 3}0.590{col 54}{space 4}-.5187499{col 67}{space 3} .9090067
{txt}c_treatful.. {c |}{col 14}{res}{space 2} .2590924{col 26}{space 2} .4158006{col 37}{space 1}    0.62{col 46}{space 3}0.534{col 54}{space 4}-.5621923{col 67}{space 3} 1.080377
{txt}c_treatful.. {c |}{col 14}{res}{space 2} .6946909{col 26}{space 2}  1.19352{col 37}{space 1}    0.58{col 46}{space 3}0.561{col 54}{space 4}-1.662737{col 67}{space 3} 3.052119
{txt}c_treatful.. {c |}{col 14}{res}{space 2}-.3149586{col 26}{space 2} .1682603{col 37}{space 1}   -1.87{col 46}{space 3}0.063{col 54}{space 4}-.6473045{col 67}{space 3} .0173873
{txt}c_treatful.. {c |}{col 14}{res}{space 2} .9024387{col 26}{space 2} .5008849{col 37}{space 1}    1.80{col 46}{space 3}0.074{col 54}{space 4}-.0869037{col 67}{space 3} 1.891781
{txt}{space 7}_cons {c |}{col 14}{res}{space 2}-.0018088{col 26}{space 2} .1018557{col 37}{space 1}   -0.02{col 46}{space 3}0.986{col 54}{space 4} -.202993{col 67}{space 3} .1993753
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{com}.         
.         * We create the adjusted p-value following the Benjamini-Hochberg methodology 
.         
.         local ps `p_2'
{txt}
{com}.         forvalues x = 3/`y' {c -(}
{txt}  2{com}.                 local ps `ps' \ `p_`x''
{txt}  3{com}.                 {c )-}
{txt}
{com}. 
.         matrix mat = (`ps')
{txt}
{com}.                 
.         * We need to rank the p-value, transpose it and transfer it to local
.         
.         matsort mat 1 "up"
{txt}
{com}.         
.         mat ps_mat = mat'
{txt}
{com}.         
.         mat list ps_mat
{res}
{txt}ps_mat[1,4]
           r2         r1         r4         r3
c1 {res} .03173047  .05591442  .77469841  .96859066
{reset}
{com}.         
.         local ps_rank
{txt}
{com}.         
.         forvalues z = 1/`y' {c -(}
{txt}  2{com}.                 local x = ps_mat[1,`z']
{txt}  3{com}.                 local ps_rank `ps_rank' `x'
{txt}  4{com}.                 {c )-}
{txt}
{com}.                 
.         di "`ps_rank'"
{res}.0317304689618448 .0559144208545602 .7746984054350552 .9685906594701577 .
{txt}
{com}.         
.         * We count the number of tests (numerator)
.         
.         local num_p = `y' - 1
{txt}
{com}.         
.         * We calculate the BH value
.         
.         local z = 0
{txt}
{com}.         foreach i of local ps_rank {c -(}
{txt}  2{com}.                 local z = `z' + 1 
{txt}  3{com}.                 local adj_p`z' = (`i' * `num_p') / `z'
{txt}  4{com}.                 {c )-}
{txt}
{com}.                 
.         * We compare it according to the rank and eventually replace it
.         
.         forvalues r = 1/`y' {c -(}
{txt}  2{com}.         local d = `y' - 1
{txt}  3{com}.         forvalues z = 1/`d' {c -(}
{txt}  4{com}.                 local v = `z' + 1
{txt}  5{com}.                         if `adj_p`z'' >= `adj_p`v'' {c -(}
{txt}  6{com}.                                 local adj_p`z' `adj_p`v''
{txt}  7{com}.                                 {c )-}
{txt}  8{com}.                         {c )-}
{txt}  9{com}.                         {c )-}
{txt}
{com}.         
.         * We store it in the estimator
.         
.         local z = 0
{txt}
{com}.         foreach i of local ps_rank {c -(}
{txt}  2{com}.                 local z = `z' + 1 
{txt}  3{com}.                 forvalues j = 2/`y' {c -(}
{txt}  4{com}.                         if `i' == `p_`j'' {c -(} 
{txt}  5{com}.                         estimates restore m`j'
{txt}  6{com}.                         estadd scalar adj_p = `adj_p`z''
{txt}  7{com}.                         {c )-}
{txt}  8{com}.                 {c )-}
{txt}  9{com}.                 {c )-}       
{txt}(results {stata estimates replay m3:m3} are active now)

added scalar:
              e(adj_p) =  {res}.11182884
{txt}(results {stata estimates replay m2:m2} are active now)

added scalar:
              e(adj_p) =  {res}.11182884
{txt}(results {stata estimates replay m5:m5} are active now)

added scalar:
              e(adj_p) =  {res}.96859066
{txt}(results {stata estimates replay m4:m4} are active now)

added scalar:
              e(adj_p) =  {res}.96859066
{txt}
{com}.                 
.         * We include the adjusted p-value from the main outcomes index
.         
.         estimates restore m1
{txt}(results {stata estimates replay m1:m1} are active now)

{com}.         estadd scalar adj_p = 0.515

{txt}added scalar:
              e(adj_p) =  {res}.515
{txt}
{com}.         
.         *****************************************
.         * Table Relationship outcomes (endline) *
.         *****************************************
. 
.         # delimit;
{txt}delimiter now ;
{com}.                 esttab m1 m2 m3 m5 m4
>         using "${c -(}tables{c )-}/TableI20.tex", b(%5.3f) se(%5.3f)
>                 title(Relationship index -- Subcomponents)
>                 keep(`var' _cons)
>                 varlabels (`var' "Full treatment" _cons "Constant")     
>                 starlevels(* .10 ** .05 *** .01)                
>                 mtitles("\textbf{c -(}\begin{c -(}tabular{c )-}[c]{c -(}@{c -(}{c )-}c@{c -(}{c )-}{c )-}Relationship\\index\end{c -(}tabular{c )-}{c )-}"
>                                 "\begin{c -(}tabular{c )-}[c]{c -(}@{c -(}{c )-}c@{c -(}{c )-}{c )-}Community satisfied\\with relations\end{c -(}tabular{c )-}"
>                                 "\begin{c -(}tabular{c )-}[c]{c -(}@{c -(}{c )-}c@{c -(}{c )-}{c )-}Trust\\health workers\end{c -(}tabular{c )-}"
>                                 "\begin{c -(}tabular{c )-}[c]{c -(}@{c -(}{c )-}c@{c -(}{c )-}{c )-}HC staff\\satisfied\\with relations\end{c -(}tabular{c )-}"
>                                 "\begin{c -(}tabular{c )-}[c]{c -(}@{c -(}{c )-}c@{c -(}{c )-}{c )-}Health workers\\will listen\\to complaints\end{c -(}tabular{c )-}")
>                 stats(N r2 adj_p, labels("N" "R$^{c -(}2{c )-}$" "Adjusted p-value (FT)") fmt(%9.0fc %9.3fc)) label booktabs nonotes replace
>         
>         ;
{res}{txt}(output written to {browse  `"/Users/fredericcochinard/Dropbox/ACT_Health_JOP_replication_file/3.Tables and Figures/Tables/TableI20.tex"'})

{com}.                 # delimit cr
{txt}delimiter now cr
{com}.         
.         *************************
.         * Table HC transparency *
.         *************************
. 
.         * At endline:
.         
.         eststo clear
{txt}
{com}.         
.         local y = 1
{txt}
{com}.         foreach x in `h_hctransp' {c -(}
{txt}  2{com}.                 areg  e_`x' `var' b_`x' b_`x'_d `e_controls_tfull_hc' ``var'_hc_int_e_controls' if uniquehc == 1, robust a(district)
{txt}  3{com}.                 
.                 local p_`y' = (2 * ttail(e(df_r), abs(_b[`var']/_se[`var'])))
{txt}  4{com}.                 
.                 estimates store m`y'
{txt}  5{com}.                 local y = `y' + 1
{txt}  6{com}.                 {c )-}
{p 0 6 2}{txt}note: b_h_hctrans_z_d omitted because of collinearity{p_end}
{res}
{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}       187
{txt}{col 49}F({res}  14{txt},{res}    157{txt}){col 67}= {res}      8.25
{txt}{col 49}Prob > F{col 67}= {res}    0.0000
{txt}{col 49}R-squared{col 67}= {res}    0.4814
{txt}{col 49}Adj R-squared{col 67}= {res}    0.3856
{txt}{col 49}Root MSE{col 67}= {res}    0.5148

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}e_h_hctran~z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2} .0066854{col 26}{space 2} .0759779{col 37}{space 1}    0.09{col 46}{space 3}0.930{col 54}{space 4}-.1433853{col 67}{space 3}  .156756
{txt}b_h_hctran~z {c |}{col 14}{res}{space 2} .1650923{col 26}{space 2} .0906538{col 37}{space 1}    1.82{col 46}{space 3}0.070{col 54}{space 4}-.0139661{col 67}{space 3} .3441507
{txt}b_h_hctran~d {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
c_tf~_hc_hc2 {c |}{col 14}{res}{space 2}-.5013927{col 26}{space 2} .1850285{col 37}{space 1}   -2.71{col 46}{space 3}0.007{col 54}{space 4}-.8668589{col 67}{space 3}-.1359265
{txt}c_tfull_hc~l {c |}{col 14}{res}{space 2} .0205472{col 26}{space 2} .1507524{col 37}{space 1}    0.14{col 46}{space 3}0.892{col 54}{space 4}-.2772173{col 67}{space 3} .3183116
{txt}c_tfull_hc~s {c |}{col 14}{res}{space 2} .1479767{col 26}{space 2} .1664311{col 37}{space 1}    0.89{col 46}{space 3}0.375{col 54}{space 4}-.1807562{col 67}{space 3} .4767096
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2}  .154435{col 26}{space 2} .2983539{col 37}{space 1}    0.52{col 46}{space 3}0.605{col 54}{space 4}-.4348704{col 67}{space 3} .7437404
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2} .0138824{col 26}{space 2} .0595909{col 37}{space 1}    0.23{col 46}{space 3}0.816{col 54}{space 4}-.1038209{col 67}{space 3} .1315857
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2} .0156507{col 26}{space 2} .1761582{col 37}{space 1}    0.09{col 46}{space 3}0.929{col 54}{space 4}-.3322952{col 67}{space 3} .3635965
{txt}c_treatful.. {c |}{col 14}{res}{space 2} .0218084{col 26}{space 2}  .232442{col 37}{space 1}    0.09{col 46}{space 3}0.925{col 54}{space 4}-.4373084{col 67}{space 3} .4809252
{txt}c_treatful.. {c |}{col 14}{res}{space 2} .4522519{col 26}{space 2} .1795321{col 37}{space 1}    2.52{col 46}{space 3}0.013{col 54}{space 4} .0976421{col 67}{space 3} .8068618
{txt}c_treatful.. {c |}{col 14}{res}{space 2}-.0730731{col 26}{space 2}   .22435{col 37}{space 1}   -0.33{col 46}{space 3}0.745{col 54}{space 4}-.5162068{col 67}{space 3} .3700606
{txt}c_treatful.. {c |}{col 14}{res}{space 2} -1.65775{col 26}{space 2} .7065398{col 37}{space 1}   -2.35{col 46}{space 3}0.020{col 54}{space 4}  -3.0533{col 67}{space 3}-.2622006
{txt}c_treatful.. {c |}{col 14}{res}{space 2} .0066897{col 26}{space 2}  .085823{col 37}{space 1}    0.08{col 46}{space 3}0.938{col 54}{space 4}-.1628269{col 67}{space 3} .1762063
{txt}c_treatful.. {c |}{col 14}{res}{space 2} .2849917{col 26}{space 2} .2551493{col 37}{space 1}    1.12{col 46}{space 3}0.266{col 54}{space 4}-.2189765{col 67}{space 3}   .78896
{txt}{space 7}_cons {c |}{col 14}{res}{space 2}-.0060668{col 26}{space 2} .0531576{col 37}{space 1}   -0.11{col 46}{space 3}0.909{col 54}{space 4} -.111063{col 67}{space 3} .0989294
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)
{res}
{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}       187
{txt}{col 49}F({res}  15{txt},{res}    156{txt}){col 67}= {res}      2.99
{txt}{col 49}Prob > F{col 67}= {res}    0.0003
{txt}{col 49}R-squared{col 67}= {res}    0.3281
{txt}{col 49}Adj R-squared{col 67}= {res}    0.1989
{txt}{col 49}Root MSE{col 67}= {res}    0.9289

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}e_h_openin~z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2} .1264058{col 26}{space 2} .1393967{col 37}{space 1}    0.91{col 46}{space 3}0.366{col 54}{space 4}-.1489427{col 67}{space 3} .4017543
{txt}b_h_openin~z {c |}{col 14}{res}{space 2} .2309723{col 26}{space 2} .1296399{col 37}{space 1}    1.78{col 46}{space 3}0.077{col 54}{space 4}-.0251038{col 67}{space 3} .4870484
{txt}b_h_open~z_d {c |}{col 14}{res}{space 2} .0464348{col 26}{space 2} .1974375{col 37}{space 1}    0.24{col 46}{space 3}0.814{col 54}{space 4} -.343561{col 67}{space 3} .4364306
{txt}c_tf~_hc_hc2 {c |}{col 14}{res}{space 2}-1.060099{col 26}{space 2} .3419045{col 37}{space 1}   -3.10{col 46}{space 3}0.002{col 54}{space 4}-1.735459{col 67}{space 3}-.3847394
{txt}c_tfull_hc~l {c |}{col 14}{res}{space 2}-.3940457{col 26}{space 2} .2908096{col 37}{space 1}   -1.35{col 46}{space 3}0.177{col 54}{space 4}-.9684784{col 67}{space 3} .1803869
{txt}c_tfull_hc~s {c |}{col 14}{res}{space 2}-.2485704{col 26}{space 2} .2756099{col 37}{space 1}   -0.90{col 46}{space 3}0.369{col 54}{space 4}-.7929792{col 67}{space 3} .2958383
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2}-.5649463{col 26}{space 2} .5568566{col 37}{space 1}   -1.01{col 46}{space 3}0.312{col 54}{space 4}-1.664898{col 67}{space 3} .5350055
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2}-.0068715{col 26}{space 2} .1048185{col 37}{space 1}   -0.07{col 46}{space 3}0.948{col 54}{space 4}-.2139182{col 67}{space 3} .2001753
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2}-.3451884{col 26}{space 2} .2907471{col 37}{space 1}   -1.19{col 46}{space 3}0.237{col 54}{space 4}-.9194975{col 67}{space 3} .2291208
{txt}c_treatful.. {c |}{col 14}{res}{space 2} .5612366{col 26}{space 2} .4105514{col 37}{space 1}    1.37{col 46}{space 3}0.174{col 54}{space 4}-.2497206{col 67}{space 3} 1.372194
{txt}c_treatful.. {c |}{col 14}{res}{space 2} 1.049309{col 26}{space 2} .3211403{col 37}{space 1}    3.27{col 46}{space 3}0.001{col 54}{space 4} .4149645{col 67}{space 3} 1.683653
{txt}c_treatful.. {c |}{col 14}{res}{space 2} .1812354{col 26}{space 2} .4039883{col 37}{space 1}    0.45{col 46}{space 3}0.654{col 54}{space 4}-.6167575{col 67}{space 3} .9792284
{txt}c_treatful.. {c |}{col 14}{res}{space 2}-3.152114{col 26}{space 2} 1.543325{col 37}{space 1}   -2.04{col 46}{space 3}0.043{col 54}{space 4}-6.200625{col 67}{space 3}-.1036033
{txt}c_treatful.. {c |}{col 14}{res}{space 2}-.0374546{col 26}{space 2} .1670752{col 37}{space 1}   -0.22{col 46}{space 3}0.823{col 54}{space 4}-.3674762{col 67}{space 3}  .292567
{txt}c_treatful.. {c |}{col 14}{res}{space 2} .9561736{col 26}{space 2} .4789967{col 37}{space 1}    2.00{col 46}{space 3}0.048{col 54}{space 4} .0100173{col 67}{space 3}  1.90233
{txt}{space 7}_cons {c |}{col 14}{res}{space 2}-.0181057{col 26}{space 2} .0933133{col 37}{space 1}   -0.19{col 46}{space 3}0.846{col 54}{space 4}-.2024263{col 67}{space 3}  .166215
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)
{res}
{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}       187
{txt}{col 49}F({res}  15{txt},{res}    156{txt}){col 67}= {res}      1.66
{txt}{col 49}Prob > F{col 67}= {res}    0.0637
{txt}{col 49}R-squared{col 67}= {res}    0.2101
{txt}{col 49}Adj R-squared{col 67}= {res}    0.0582
{txt}{col 49}Root MSE{col 67}= {res}    0.9651

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}e_h_dutyro~z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2} -.142457{col 26}{space 2} .1454813{col 37}{space 1}   -0.98{col 46}{space 3}0.329{col 54}{space 4}-.4298244{col 67}{space 3} .1449104
{txt}b_h_dutyro~z {c |}{col 14}{res}{space 2}-.0308835{col 26}{space 2} .0909401{col 37}{space 1}   -0.34{col 46}{space 3}0.735{col 54}{space 4}-.2105163{col 67}{space 3} .1487493
{txt}b_h_duty~z_d {c |}{col 14}{res}{space 2}-.0082926{col 26}{space 2} .2474535{col 37}{space 1}   -0.03{col 46}{space 3}0.973{col 54}{space 4}-.4970844{col 67}{space 3} .4804993
{txt}c_tf~_hc_hc2 {c |}{col 14}{res}{space 2} .0149071{col 26}{space 2} .3094776{col 37}{space 1}    0.05{col 46}{space 3}0.962{col 54}{space 4}-.5964002{col 67}{space 3} .6262144
{txt}c_tfull_hc~l {c |}{col 14}{res}{space 2}-.0824022{col 26}{space 2} .3540093{col 37}{space 1}   -0.23{col 46}{space 3}0.816{col 54}{space 4}-.7816723{col 67}{space 3} .6168679
{txt}c_tfull_hc~s {c |}{col 14}{res}{space 2}  .269327{col 26}{space 2} .3538202{col 37}{space 1}    0.76{col 46}{space 3}0.448{col 54}{space 4}-.4295697{col 67}{space 3} .9682237
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2}  .543769{col 26}{space 2} .9501074{col 37}{space 1}    0.57{col 46}{space 3}0.568{col 54}{space 4}-1.332966{col 67}{space 3} 2.420504
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2} .0801189{col 26}{space 2} .1182778{col 37}{space 1}    0.68{col 46}{space 3}0.499{col 54}{space 4}-.1535138{col 67}{space 3} .3137516
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2}  .164095{col 26}{space 2} .3382655{col 37}{space 1}    0.49{col 46}{space 3}0.628{col 54}{space 4}-.5040766{col 67}{space 3} .8322667
{txt}c_treatful.. {c |}{col 14}{res}{space 2} -.165505{col 26}{space 2}  .390681{col 37}{space 1}   -0.42{col 46}{space 3}0.672{col 54}{space 4}-.9372122{col 67}{space 3} .6062022
{txt}c_treatful.. {c |}{col 14}{res}{space 2} .2790426{col 26}{space 2} .4010868{col 37}{space 1}    0.70{col 46}{space 3}0.488{col 54}{space 4}-.5132192{col 67}{space 3} 1.071304
{txt}c_treatful.. {c |}{col 14}{res}{space 2} .0878131{col 26}{space 2} .4260905{col 37}{space 1}    0.21{col 46}{space 3}0.837{col 54}{space 4}-.7538381{col 67}{space 3} .9294643
{txt}c_treatful.. {c |}{col 14}{res}{space 2}-1.354366{col 26}{space 2} 1.467905{col 37}{space 1}   -0.92{col 46}{space 3}0.358{col 54}{space 4}  -4.2539{col 67}{space 3} 1.545168
{txt}c_treatful.. {c |}{col 14}{res}{space 2} .0046168{col 26}{space 2} .1684697{col 37}{space 1}    0.03{col 46}{space 3}0.978{col 54}{space 4}-.3281592{col 67}{space 3} .3373928
{txt}c_treatful.. {c |}{col 14}{res}{space 2} .5196356{col 26}{space 2} .4478624{col 37}{space 1}    1.16{col 46}{space 3}0.248{col 54}{space 4}-.3650213{col 67}{space 3} 1.404293
{txt}{space 7}_cons {c |}{col 14}{res}{space 2}-.0140958{col 26}{space 2} .1139766{col 37}{space 1}   -0.12{col 46}{space 3}0.902{col 54}{space 4}-.2392324{col 67}{space 3} .2110408
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)
{res}
{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}       187
{txt}{col 49}F({res}  15{txt},{res}    156{txt}){col 67}= {res}      4.21
{txt}{col 49}Prob > F{col 67}= {res}    0.0000
{txt}{col 49}R-squared{col 67}= {res}    0.3983
{txt}{col 49}Adj R-squared{col 67}= {res}    0.2826
{txt}{col 49}Root MSE{col 67}= {res}    0.8402

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}e_h_sugbox_z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2} .0098665{col 26}{space 2} .1237955{col 37}{space 1}    0.08{col 46}{space 3}0.937{col 54}{space 4}-.2346653{col 67}{space 3} .2543983
{txt}b_h_sugbox_z {c |}{col 14}{res}{space 2} .0042777{col 26}{space 2} .0844502{col 37}{space 1}    0.05{col 46}{space 3}0.960{col 54}{space 4}-.1625356{col 67}{space 3} .1710911
{txt}b_h_sugb~z_d {c |}{col 14}{res}{space 2}-.3830322{col 26}{space 2} .1833982{col 37}{space 1}   -2.09{col 46}{space 3}0.038{col 54}{space 4}-.7452964{col 67}{space 3} -.020768
{txt}c_tf~_hc_hc2 {c |}{col 14}{res}{space 2} -.597242{col 26}{space 2} .2762076{col 37}{space 1}   -2.16{col 46}{space 3}0.032{col 54}{space 4}-1.142831{col 67}{space 3}-.0516526
{txt}c_tfull_hc~l {c |}{col 14}{res}{space 2} .3218471{col 26}{space 2}  .233112{col 37}{space 1}    1.38{col 46}{space 3}0.169{col 54}{space 4}-.1386162{col 67}{space 3} .7823103
{txt}c_tfull_hc~s {c |}{col 14}{res}{space 2}-.1136508{col 26}{space 2} .2681163{col 37}{space 1}   -0.42{col 46}{space 3}0.672{col 54}{space 4}-.6432575{col 67}{space 3}  .415956
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2} .0117845{col 26}{space 2} .5198101{col 37}{space 1}    0.02{col 46}{space 3}0.982{col 54}{space 4} -1.01499{col 67}{space 3} 1.038559
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2}-.0045539{col 26}{space 2} .1091827{col 37}{space 1}   -0.04{col 46}{space 3}0.967{col 54}{space 4}-.2202212{col 67}{space 3} .2111134
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2} .0181389{col 26}{space 2} .3014193{col 37}{space 1}    0.06{col 46}{space 3}0.952{col 54}{space 4}-.5772509{col 67}{space 3} .6135288
{txt}c_treatful.. {c |}{col 14}{res}{space 2}-.2643965{col 26}{space 2} .3339933{col 37}{space 1}   -0.79{col 46}{space 3}0.430{col 54}{space 4}-.9241293{col 67}{space 3} .3953364
{txt}c_treatful.. {c |}{col 14}{res}{space 2} .1915808{col 26}{space 2} .2778138{col 37}{space 1}    0.69{col 46}{space 3}0.491{col 54}{space 4}-.3571813{col 67}{space 3} .7403428
{txt}c_treatful.. {c |}{col 14}{res}{space 2}-.0383095{col 26}{space 2} .3823374{col 37}{space 1}   -0.10{col 46}{space 3}0.920{col 54}{space 4}-.7935359{col 67}{space 3} .7169169
{txt}c_treatful.. {c |}{col 14}{res}{space 2}-1.586808{col 26}{space 2} 1.186315{col 37}{space 1}   -1.34{col 46}{space 3}0.183{col 54}{space 4}-3.930122{col 67}{space 3} .7565063
{txt}c_treatful.. {c |}{col 14}{res}{space 2}-.0462381{col 26}{space 2} .1414164{col 37}{space 1}   -0.33{col 46}{space 3}0.744{col 54}{space 4}-.3255763{col 67}{space 3}    .2331
{txt}c_treatful.. {c |}{col 14}{res}{space 2} .1383353{col 26}{space 2} .3553094{col 37}{space 1}    0.39{col 46}{space 3}0.698{col 54}{space 4}-.5635028{col 67}{space 3} .8401735
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} .0534909{col 26}{space 2} .0988102{col 37}{space 1}    0.54{col 46}{space 3}0.589{col 54}{space 4}-.1416876{col 67}{space 3} .2486695
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)
{res}
{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}       187
{txt}{col 49}F({res}  15{txt},{res}    156{txt}){col 67}= {res}      3.79
{txt}{col 49}Prob > F{col 67}= {res}    0.0000
{txt}{col 49}R-squared{col 67}= {res}    0.2758
{txt}{col 49}Adj R-squared{col 67}= {res}    0.1365
{txt}{col 49}Root MSE{col 67}= {res}    0.9308

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}e_h_infose~z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2} -.092982{col 26}{space 2} .1424115{col 37}{space 1}   -0.65{col 46}{space 3}0.515{col 54}{space 4}-.3742857{col 67}{space 3} .1883218
{txt}b_h_infose~z {c |}{col 14}{res}{space 2} .1233742{col 26}{space 2} .0799125{col 37}{space 1}    1.54{col 46}{space 3}0.125{col 54}{space 4} -.034476{col 67}{space 3} .2812243
{txt}b_h_in~e_z_d {c |}{col 14}{res}{space 2} .0085359{col 26}{space 2} .2052152{col 37}{space 1}    0.04{col 46}{space 3}0.967{col 54}{space 4}-.3968231{col 67}{space 3}  .413895
{txt}c_tf~_hc_hc2 {c |}{col 14}{res}{space 2}-.4278109{col 26}{space 2} .3080878{col 37}{space 1}   -1.39{col 46}{space 3}0.167{col 54}{space 4}-1.036373{col 67}{space 3}  .180751
{txt}c_tfull_hc~l {c |}{col 14}{res}{space 2} .3489856{col 26}{space 2} .3195623{col 37}{space 1}    1.09{col 46}{space 3}0.276{col 54}{space 4}-.2822418{col 67}{space 3}  .980213
{txt}c_tfull_hc~s {c |}{col 14}{res}{space 2} .5908638{col 26}{space 2} .2498138{col 37}{space 1}    2.37{col 46}{space 3}0.019{col 54}{space 4} .0974097{col 67}{space 3} 1.084318
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2} 1.067838{col 26}{space 2} .6859421{col 37}{space 1}    1.56{col 46}{space 3}0.122{col 54}{space 4}-.2870946{col 67}{space 3} 2.422771
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2} -.025173{col 26}{space 2} .0879146{col 37}{space 1}   -0.29{col 46}{space 3}0.775{col 54}{space 4}-.1988297{col 67}{space 3} .1484836
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2} .2753091{col 26}{space 2} .2964177{col 37}{space 1}    0.93{col 46}{space 3}0.354{col 54}{space 4}-.3102012{col 67}{space 3} .8608193
{txt}c_treatful.. {c |}{col 14}{res}{space 2} .1439643{col 26}{space 2} .3844424{col 37}{space 1}    0.37{col 46}{space 3}0.709{col 54}{space 4}-.6154199{col 67}{space 3} .9033486
{txt}c_treatful.. {c |}{col 14}{res}{space 2} .0494196{col 26}{space 2} .4078208{col 37}{space 1}    0.12{col 46}{space 3}0.904{col 54}{space 4}-.7561436{col 67}{space 3} .8549829
{txt}c_treatful.. {c |}{col 14}{res}{space 2}-.4119612{col 26}{space 2} .3644132{col 37}{space 1}   -1.13{col 46}{space 3}0.260{col 54}{space 4}-1.131782{col 67}{space 3} .3078597
{txt}c_treatful.. {c |}{col 14}{res}{space 2}-.4641713{col 26}{space 2} 1.409482{col 37}{space 1}   -0.33{col 46}{space 3}0.742{col 54}{space 4}-3.248304{col 67}{space 3} 2.319961
{txt}c_treatful.. {c |}{col 14}{res}{space 2} .0855344{col 26}{space 2}  .154666{col 37}{space 1}    0.55{col 46}{space 3}0.581{col 54}{space 4}-.2199754{col 67}{space 3} .3910441
{txt}c_treatful.. {c |}{col 14}{res}{space 2}-.1818532{col 26}{space 2} .4119706{col 37}{space 1}   -0.44{col 46}{space 3}0.660{col 54}{space 4}-.9956137{col 67}{space 3} .6319072
{txt}{space 7}_cons {c |}{col 14}{res}{space 2}   .00192{col 26}{space 2} .1009685{col 37}{space 1}    0.02{col 46}{space 3}0.985{col 54}{space 4}-.1975217{col 67}{space 3} .2013618
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)
{res}
{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}       187
{txt}{col 49}F({res}  15{txt},{res}    156{txt}){col 67}= {res}      3.61
{txt}{col 49}Prob > F{col 67}= {res}    0.0000
{txt}{col 49}R-squared{col 67}= {res}    0.4618
{txt}{col 49}Adj R-squared{col 67}= {res}    0.3582
{txt}{col 49}Root MSE{col 67}= {res}    0.8382

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}e_h_infopr~z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2} .1254839{col 26}{space 2} .1206428{col 37}{space 1}    1.04{col 46}{space 3}0.300{col 54}{space 4}-.1128204{col 67}{space 3} .3637882
{txt}b_h_infopr~z {c |}{col 14}{res}{space 2} .0768883{col 26}{space 2} .0470765{col 37}{space 1}    1.63{col 46}{space 3}0.104{col 54}{space 4}-.0161014{col 67}{space 3} .1698779
{txt}b_h_in~s_z_d {c |}{col 14}{res}{space 2}-.4494031{col 26}{space 2} .1741121{col 37}{space 1}   -2.58{col 46}{space 3}0.011{col 54}{space 4}-.7933245{col 67}{space 3}-.1054817
{txt}c_tf~_hc_hc2 {c |}{col 14}{res}{space 2}-.3735728{col 26}{space 2} .2318293{col 37}{space 1}   -1.61{col 46}{space 3}0.109{col 54}{space 4}-.8315023{col 67}{space 3} .0843568
{txt}c_tfull_hc~l {c |}{col 14}{res}{space 2}-.0271658{col 26}{space 2} .2113321{col 37}{space 1}   -0.13{col 46}{space 3}0.898{col 54}{space 4}-.4446074{col 67}{space 3} .3902757
{txt}c_tfull_hc~s {c |}{col 14}{res}{space 2} .1429297{col 26}{space 2} .2352522{col 37}{space 1}    0.61{col 46}{space 3}0.544{col 54}{space 4}-.3217611{col 67}{space 3} .6076205
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2} .2536709{col 26}{space 2}  .495757{col 37}{space 1}    0.51{col 46}{space 3}0.610{col 54}{space 4}-.7255917{col 67}{space 3} 1.232934
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2} .0906859{col 26}{space 2} .0873729{col 37}{space 1}    1.04{col 46}{space 3}0.301{col 54}{space 4}-.0819006{col 67}{space 3} .2632724
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2} .0003315{col 26}{space 2} .3224645{col 37}{space 1}    0.00{col 46}{space 3}0.999{col 54}{space 4}-.6366285{col 67}{space 3} .6372916
{txt}c_treatful.. {c |}{col 14}{res}{space 2}-.2507019{col 26}{space 2}  .317713{col 37}{space 1}   -0.79{col 46}{space 3}0.431{col 54}{space 4}-.8782765{col 67}{space 3} .3768726
{txt}c_treatful.. {c |}{col 14}{res}{space 2} .5707506{col 26}{space 2} .2601805{col 37}{space 1}    2.19{col 46}{space 3}0.030{col 54}{space 4} .0568194{col 67}{space 3} 1.084682
{txt}c_treatful.. {c |}{col 14}{res}{space 2}-.0155669{col 26}{space 2} .3726828{col 37}{space 1}   -0.04{col 46}{space 3}0.967{col 54}{space 4}-.7517226{col 67}{space 3} .7205888
{txt}c_treatful.. {c |}{col 14}{res}{space 2}-2.362596{col 26}{space 2} 1.378187{col 37}{space 1}   -1.71{col 46}{space 3}0.088{col 54}{space 4}-5.084911{col 67}{space 3} .3597195
{txt}c_treatful.. {c |}{col 14}{res}{space 2} .0345734{col 26}{space 2} .1433047{col 37}{space 1}    0.24{col 46}{space 3}0.810{col 54}{space 4}-.2484947{col 67}{space 3} .3176414
{txt}c_treatful.. {c |}{col 14}{res}{space 2}-.0717279{col 26}{space 2} .4347799{col 37}{space 1}   -0.16{col 46}{space 3}0.869{col 54}{space 4}-.9305432{col 67}{space 3} .7870874
{txt}{space 7}_cons {c |}{col 14}{res}{space 2}    .0808{col 26}{space 2} .0907613{col 37}{space 1}    0.89{col 46}{space 3}0.375{col 54}{space 4}-.0984796{col 67}{space 3} .2600796
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{com}. 
.         * We create the adjusted p-value following the Benjamini-Hochberg methodology 
.         
.         local y = `y' - 1
{txt}
{com}.         
.         local ps `p_2'
{txt}
{com}.         forvalues x = 3/`y' {c -(}
{txt}  2{com}.                 local ps `ps' \ `p_`x''
{txt}  3{com}.                 {c )-}
{txt}
{com}. 
.         matrix mat = (`ps')
{txt}
{com}.                 
.         * We need to rank the p-value, transpose it and transfer it to local
.         
.         matsort mat 1 "up"
{txt}
{com}.         
.         mat ps_mat = mat'
{txt}
{com}.         
.         mat list ps_mat
{res}
{txt}ps_mat[1,5]
           r5         r2         r1         r4
c1 {res} .29989012  .32899158  .36590775  .51477515

{txt}           r3
c1 {res} .93657797
{reset}
{com}.         
.         local ps_rank
{txt}
{com}.         
.         forvalues z = 1/`y' {c -(}
{txt}  2{com}.                 local x = ps_mat[1,`z']
{txt}  3{com}.                 local ps_rank `ps_rank' `x'
{txt}  4{com}.                 {c )-}
{txt}
{com}.                 
.         di "`ps_rank'"
{res}.2998901161053474 .3289915807162266 .3659077463774352 .5147751529156903 .9365779661699228 .
{txt}
{com}.         
.         * We count the number of tests (numerator)
.         
.         local num_p = `y' - 1
{txt}
{com}.         
.         * We calculate the BH value
.         
.         local z = 0
{txt}
{com}.         foreach i of local ps_rank {c -(}
{txt}  2{com}.                 local z = `z' + 1 
{txt}  3{com}.                 local adj_p`z' = (`i' * `num_p') / `z'
{txt}  4{com}.                 {c )-}
{txt}
{com}.                 
.         * We compare it according to the rank and eventually replace it
.         
.         forvalues r = 1/`y' {c -(}
{txt}  2{com}.         local d = `y' - 1
{txt}  3{com}.         forvalues z = 1/`d' {c -(}
{txt}  4{com}.                 local v = `z' + 1
{txt}  5{com}.                         if `adj_p`z'' >= `adj_p`v'' {c -(}
{txt}  6{com}.                                 local adj_p`z' `adj_p`v''
{txt}  7{com}.                                 {c )-}
{txt}  8{com}.                         {c )-}
{txt}  9{com}.                         {c )-}
{txt}
{com}.         
.         * We store it in the estimator
.         
.         local z = 0
{txt}
{com}.         foreach i of local ps_rank {c -(}
{txt}  2{com}.                 local z = `z' + 1 
{txt}  3{com}.                 forvalues j = 2/`y' {c -(}
{txt}  4{com}.                         if `i' == `p_`j'' {c -(} 
{txt}  5{com}.                         estimates restore m`j'
{txt}  6{com}.                         estadd scalar adj_p = `adj_p`z''
{txt}  7{com}.                         {c )-}
{txt}  8{com}.                 {c )-}
{txt}  9{com}.                 {c )-}       
{txt}(results {stata estimates replay m6:m6} are active now)

added scalar:
              e(adj_p) =  {res}.60984624
{txt}(results {stata estimates replay m3:m3} are active now)

added scalar:
              e(adj_p) =  {res}.60984624
{txt}(results {stata estimates replay m2:m2} are active now)

added scalar:
              e(adj_p) =  {res}.60984624
{txt}(results {stata estimates replay m5:m5} are active now)

added scalar:
              e(adj_p) =  {res}.64346894
{txt}(results {stata estimates replay m4:m4} are active now)

added scalar:
              e(adj_p) =  {res}.93657797
{txt}
{com}.                 
.         * We include the adjusted p-value from the main outcomes index
.         
.         estimates restore m1
{txt}(results {stata estimates replay m1:m1} are active now)

{com}.         estadd scalar adj_p = 0.930

{txt}added scalar:
              e(adj_p) =  {res}.93
{txt}
{com}.                 
.         *****************************************
.         * Table Transparency outcomes (endline) *
.         *****************************************
. 
.         # delimit;
{txt}delimiter now ;
{com}.                 esttab m1 m2 m3 m4 m5 m6
>         using "${c -(}tables{c )-}/TableI21.tex", b(%5.3f) se(%5.3f)
>                 title(HC transparency index -- Subcomponents)
>                 keep(`var' _cons)
>                 varlabels (`var' "Full treatment" _cons "Constant")     
>                 starlevels(* .10 ** .05 *** .01)                
>                 mtitles("\textbf{c -(}\begin{c -(}tabular{c )-}[c]{c -(}@{c -(}{c )-}c@{c -(}{c )-}{c )-}HC\\transparency\\index\end{c -(}tabular{c )-}{c )-}"
>                                 "\begin{c -(}tabular{c )-}[c]{c -(}@{c -(}{c )-}c@{c -(}{c )-}{c )-}Poster with\\opening times\end{c -(}tabular{c )-}"
>                                 "\begin{c -(}tabular{c )-}[c]{c -(}@{c -(}{c )-}c@{c -(}{c )-}{c )-}Duty roster\\displayed\end{c -(}tabular{c )-}"
>                                 "\begin{c -(}tabular{c )-}[c]{c -(}@{c -(}{c )-}c@{c -(}{c )-}{c )-}Suggestion\\box\end{c -(}tabular{c )-}"
>                                 "\begin{c -(}tabular{c )-}[c]{c -(}@{c -(}{c )-}c@{c -(}{c )-}{c )-}Info\\on services\\provided\end{c -(}tabular{c )-}"
>                                 "\begin{c -(}tabular{c )-}[c]{c -(}@{c -(}{c )-}c@{c -(}{c )-}{c )-}Info\\on patient\\rights\end{c -(}tabular{c )-}")
>                 stats(N r2 adj_p, labels("N" "R$^{c -(}2{c )-}$" "Adjusted p-value (FT)") fmt(%9.0fc %9.3fc)) label booktabs nonotes replace
>         
>         ;
{res}{txt}(output written to {browse  `"/Users/fredericcochinard/Dropbox/ACT_Health_JOP_replication_file/3.Tables and Figures/Tables/TableI21.tex"'})

{com}.                 # delimit cr
{txt}delimiter now cr
{com}.         
.         ***************************************************************
.         * Table G1: Intermediate outcome indices and their components *
.         ***************************************************************
.         
.         * We work on intermediate outcome
.         
.         use "${c -(}usedata{c )-}/chp_el_light_dataset.dta", clear
{txt}
{com}.         
.         * Citizen knowledge
.         
.         foreach var in b_numrights_hh b_numresp_hh {c -(}
{txt}  2{com}.                 sum `var'
{txt}  3{com}.                 local mean_percent = `r(mean)' * 100
{txt}  4{com}.                 local `var'_m = string(`mean_percent',"%9.2fc")
{txt}  5{com}.                 local `var'_sd = string(`r(sd)',"%9.2fc")
{txt}  6{com}.                 {c )-}

{txt}    Variable {c |}        Obs        Mean    Std. Dev.       Min        Max
{hline 13}{c +}{hline 57}
b_numright~h {c |}{res}     15,295    .1019864    .0942546          0         .6

{txt}    Variable {c |}        Obs        Mean    Std. Dev.       Min        Max
{hline 13}{c +}{hline 57}
b_numresp_hh {c |}{res}     15,295    .3012415    .2177781          0          1
{txt}
{com}.                 
.         foreach var in m_services_hh {c -(}
{txt}  2{com}.                 sum `var' if treatment == 4
{txt}  3{com}.                 local mean_percent = `r(mean)' * 100
{txt}  4{com}.                 local `var'_m = string(`mean_percent',"%9.2fc")
{txt}  5{com}.                 local `var'_sd = string(`r(sd)',"%9.2fc")
{txt}  6{com}.                 {c )-}

{txt}    Variable {c |}        Obs        Mean    Std. Dev.       Min        Max
{hline 13}{c +}{hline 57}
m_services~h {c |}{res}      3,525    .6475921    .2299395          0          1
{txt}
{com}.                 
.         * Health center staff knowledge
.         
.         foreach var in b_h_numrights b_h_numresp {c -(}
{txt}  2{com}.                 sum `var' if uniquehc == 1
{txt}  3{com}.                 local mean_percent = `r(mean)' * 100
{txt}  4{com}.                 local `var'_m = string(`mean_percent',"%9.2fc")
{txt}  5{com}.                 local `var'_sd = string(`r(sd)',"%9.2fc")
{txt}  6{com}.                 {c )-}

{txt}    Variable {c |}        Obs        Mean    Std. Dev.       Min        Max
{hline 13}{c +}{hline 57}
b_h_numrig~s {c |}{res}        376    .3196619    .1208271          0         .7

{txt}    Variable {c |}        Obs        Mean    Std. Dev.       Min        Max
{hline 13}{c +}{hline 57}
{space 1}b_h_numresp {c |}{res}        376    .5493499    .2369787          0          1
{txt}
{com}.         
.         * Efficacy
.         
.         foreach var in b_power b_influence b_peoplesay_gov b_peoplesay_hc {c -(}
{txt}  2{com}.                 sum `var'
{txt}  3{com}.                 local mean_percent = `r(mean)' * 100
{txt}  4{com}.                 local `var'_m = string(`mean_percent',"%9.2fc")
{txt}  5{com}.                 local `var'_sd = string(`r(sd)',"%9.2fc")
{txt}  6{com}.                 {c )-}

{txt}    Variable {c |}        Obs        Mean    Std. Dev.       Min        Max
{hline 13}{c +}{hline 57}
{space 5}b_power {c |}{res}     15,295    .3398409    .4515462          0          1

{txt}    Variable {c |}        Obs        Mean    Std. Dev.       Min        Max
{hline 13}{c +}{hline 57}
{space 1}b_influence {c |}{res}     15,295    .3364527     .453515          0          1

{txt}    Variable {c |}        Obs        Mean    Std. Dev.       Min        Max
{hline 13}{c +}{hline 57}
b_peoplesa~v {c |}{res}     15,295    .8232127    .3664264          0          1

{txt}    Variable {c |}        Obs        Mean    Std. Dev.       Min        Max
{hline 13}{c +}{hline 57}
b_peoplesa~c {c |}{res}     15,295    .8118002    .3751966          0          1
{txt}
{com}.                 
.         foreach var in m_pressure_effort m_pressure_report {c -(}
{txt}  2{com}.                 sum `var' if treatment == 4
{txt}  3{com}.                 local mean_percent = `r(mean)' * 100
{txt}  4{com}.                 local `var'_m = string(`mean_percent',"%9.2fc")
{txt}  5{com}.                 local `var'_sd = string(`r(sd)',"%9.2fc")
{txt}  6{com}.                 {c )-}

{txt}    Variable {c |}        Obs        Mean    Std. Dev.       Min        Max
{hline 13}{c +}{hline 57}
m_press~fort {c |}{res}      3,602    .6278938    .4760563          0          1

{txt}    Variable {c |}        Obs        Mean    Std. Dev.       Min        Max
{hline 13}{c +}{hline 57}
m_press~port {c |}{res}      3,602    .6193064     .478852          0          1
{txt}
{com}.                 
.         * Community responsibility
.         
.         foreach var in b_responsible b_commembers_resp {c -(}
{txt}  2{com}.                 sum `var'
{txt}  3{com}.                 local mean_percent = `r(mean)' * 100
{txt}  4{com}.                 local `var'_m = string(`mean_percent',"%9.2fc")
{txt}  5{com}.                 local `var'_sd = string(`r(sd)',"%9.2fc")
{txt}  6{com}.                 {c )-}

{txt}    Variable {c |}        Obs        Mean    Std. Dev.       Min        Max
{hline 13}{c +}{hline 57}
b_responsi~e {c |}{res}     15,295    .4515493    .4780623          0          1

{txt}    Variable {c |}        Obs        Mean    Std. Dev.       Min        Max
{hline 13}{c +}{hline 57}
b_commembe~p {c |}{res}     15,295    .0124224    .1107648          0          1
{txt}
{com}.                 
.         
.         * Relationship between HH and HC
.         
.         foreach var in b_sat_rel b_trust_hw b_complain {c -(}
{txt}  2{com}.                 sum `var'
{txt}  3{com}.                 local mean_percent = `r(mean)' * 100
{txt}  4{com}.                 local `var'_m = string(`mean_percent',"%9.2fc")
{txt}  5{com}.                 local `var'_sd = string(`r(sd)',"%9.2fc")
{txt}  6{com}.                 {c )-}

{txt}    Variable {c |}        Obs        Mean    Std. Dev.       Min        Max
{hline 13}{c +}{hline 57}
{space 3}b_sat_rel {c |}{res}     15,295    .7367306    .4237998          0          1

{txt}    Variable {c |}        Obs        Mean    Std. Dev.       Min        Max
{hline 13}{c +}{hline 57}
{space 2}b_trust_hw {c |}{res}     15,295    .6010158    .4713224          0          1

{txt}    Variable {c |}        Obs        Mean    Std. Dev.       Min        Max
{hline 13}{c +}{hline 57}
{space 2}b_complain {c |}{res}     15,295    .9768771    .1202213          0          1
{txt}
{com}.         
.         foreach var in b_h_satisfiedrel {c -(}
{txt}  2{com}.                 sum `var' if uniquehc == 1
{txt}  3{com}.                 local mean_percent = `r(mean)' * 100
{txt}  4{com}.                 local `var'_m = string(`mean_percent',"%9.2fc")
{txt}  5{com}.                 local `var'_sd = string(`r(sd)',"%9.2fc")
{txt}  6{com}.                 {c )-}

{txt}    Variable {c |}        Obs        Mean    Std. Dev.       Min        Max
{hline 13}{c +}{hline 57}
b_h_satisf~l {c |}{res}        376    .9061629    .2908993          0          1
{txt}
{com}.                 
.         * HC Transparency
.         
.         foreach var in b_h_opening_posters b_h_dutyroster b_h_sugbox b_h_infoservice b_h_infoprights {c -(}
{txt}  2{com}.                 sum `var' if uniquehc == 1
{txt}  3{com}.                 local mean_percent = `r(mean)' * 100
{txt}  4{com}.                 local `var'_m = string(`mean_percent',"%9.2fc")
{txt}  5{com}.                 local `var'_sd = string(`r(sd)',"%9.2fc")
{txt}  6{com}.                 {c )-}

{txt}    Variable {c |}        Obs        Mean    Std. Dev.       Min        Max
{hline 13}{c +}{hline 57}
b_h_openin~s {c |}{res}        376    .0277974    .1454896          0          1

{txt}    Variable {c |}        Obs        Mean    Std. Dev.       Min        Max
{hline 13}{c +}{hline 57}
b_h_dutyro~r {c |}{res}        376    .2031485    .3762454          0          1

{txt}    Variable {c |}        Obs        Mean    Std. Dev.       Min        Max
{hline 13}{c +}{hline 57}
{space 2}b_h_sugbox {c |}{res}        376    .0614412    .2111479          0          1

{txt}    Variable {c |}        Obs        Mean    Std. Dev.       Min        Max
{hline 13}{c +}{hline 57}
b_h_infose~e {c |}{res}        376    .3313719    .4405682          0          1

{txt}    Variable {c |}        Obs        Mean    Std. Dev.       Min        Max
{hline 13}{c +}{hline 57}
b_h_infopr~s {c |}{res}        376    .0345793    .1690625          0          1
{txt}
{com}.                 
.         * Generating the table
.         
.         texdoc init "${c -(}tables{c )-}/TableG1.tex", replace force
{res}{txt}(texdoc output file is /Users/fredericcochinard/Dropbox/ACT_Health_JOP_replication_file/3.Tables and Figures/Tables/TableG1.tex)
{res}{txt}
{com}.         tex \begin{c -(}table{c )-}[]
{res}{txt}
{com}.         tex \footnotesize
{res}{txt}
{com}.         tex \begin{c -(}center{c )-}
{res}{txt}
{com}.         tex \begin{c -(}tabular{c )-}{c -(}ll{c )-}
{res}{txt}
{com}.         tex \hline
{res}{txt}
{com}.     tex                                                                                                                                                                                                                                                                 & \textbf{c -(}Mean{c )-}  \\ \hline
{res}{txt}
{com}.         tex \multicolumn{c -(}2{c )-}{c -(}l{c )-}{c -(}\textit{c -(}\textbf{c -(}Citizen knowledge{c )-}{c )-}{c )-}                                                                                                                                                                                                                                   \\ \hline
{res}{txt}
{com}.         tex Share of patients' rights that household head is able to name correctly                                                                                                                                                                                          & `b_numrights_hh_m'\%         \\ 
{res}{txt}
{com}.         tex Share of patients' responsibilities that household head is able to name correctly                                                                                                                                                                                & `b_numresp_hh_m'\%           \\ 
{res}{txt}
{com}.         tex \begin{c -(}tabular{c )-}[c]{c -(}@{c -(}{c )-}l@{c -(}{c )-}{c )-}Share of services offered at health center that household head is able to name correctly\end{c -(}tabular{c )-}                                                                                                                            & `m_services_hh_m'\%          \\ \hline
{res}{txt}
{com}.         tex \multicolumn{c -(}2{c )-}{c -(}l{c )-}{c -(}\textit{c -(}\textbf{c -(}Health center staff knowledge{c )-}{c )-}{c )-}                                                                                                                                                                                                                       \\ \hline
{res}{txt}
{com}.         tex Share of patients' rights that health center staff is able to name correctly                                                                                                                                                                                                   & `b_h_numrights_m'\%          \\ 
{res}{txt}
{com}.         tex Share of patients’ responsibilities that health center staff is able to name correctly                                                                                                                                                                                      &  `b_h_numresp_m'\%           \\ \hline
{res}{txt}
{com}.         tex \multicolumn{c -(}2{c )-}{c -(}l{c )-}{c -(}\textit{c -(}\textbf{c -(}Efficacy{c )-}{c )-}{c )-}   \\ \hline
{res}{txt}
{com}.         tex \begin{c -(}tabular{c )-}[c]{c -(}@{c -(}{c )-}l@{c -(}{c )-}{c )-}Whether household head thinks she has ``a lot"/``some" power to improve quality of health care at local HC\end{c -(}tabular{c )-}                                                                                                 & `b_power_m'\%          \\ 
{res}{txt}
{com}.         tex \begin{c -(}tabular{c )-}[c]{c -(}@{c -(}{c )-}l@{c -(}{c )-}{c )-}Whether household head thinks she would be able to pressure a health worker to exert better effort\end{c -(}tabular{c )-}                                                                                                & `m_pressure_effort_m'\%  \\ 
{res}{txt}
{com}.         tex \begin{c -(}tabular{c )-}[c]{c -(}@{c -(}{c )-}l@{c -(}{c )-}{c )-}Whether household head thinks she would be able to pressure a health worker to report to work on time $\diamond$ \end{c -(}tabular{c )-}                                                                           & `m_pressure_report_m'\%    \\ 
{res}{txt}
{com}.         tex     \begin{c -(}tabular{c )-}[c]{c -(}@{c -(}{c )-}l@{c -(}{c )-}{c )-}Whether household head thinks she has ``a lot" or ``some" influence in making village a better place to live $\diamond$ \end{c -(}tabular{c )-}                                                                                                           & `b_influence_m'\%        \\ 
{res}{txt}
{com}.         tex \begin{c -(}tabular{c )-}[c]{c -(}@{c -(}{c )-}l@{c -(}{c )-}{c )-}Whether household head agrees that ``People like you have a say about how the government provides\\health care to your community"\end{c -(}tabular{c )-}                                                                                         &  `b_peoplesay_gov_m'\%     \\ 
{res}{txt}
{com}.         tex \begin{c -(}tabular{c )-}[c]{c -(}@{c -(}{c )-}l@{c -(}{c )-}{c )-}Whether household head agrees that ``People like you have a say about how health facilities provide\\health care to your community"\end{c -(}tabular{c )-}                                                                                       &  `b_peoplesay_hc_m'\%        \\ \hline
{res}{txt}
{com}.         tex \multicolumn{c -(}2{c )-}{c -(}l{c )-}{c -(}\textit{c -(}\textbf{c -(}Community responsibility{c )-}{c )-}{c )-}                                                                                                                                                                                                                            \\ \hline
{res}{txt}
{com}.         tex \begin{c -(}tabular{c )-}[c]{c -(}@{c -(}{c )-}l@{c -(}{c )-}{c )-}Whether household head thinks she is responsible for making sure health workers come to work and provide\\high quality health services\end{c -(}tabular{c )-}                                                                               &  `b_responsible_m'\%    \\ 
{res}{txt}
{com}.         tex \begin{c -(}tabular{c )-}[c]{c -(}@{c -(}{c )-}l@{c -(}{c )-}{c )-}Whether household head thinks community members are responsible for making sure health workers come\\to work and provide high quality health services\end{c -(}tabular{c )-}                                                                     &  `b_commembers_resp_m'\%    \\ \hline
{res}{txt}
{com}.         tex \multicolumn{c -(}2{c )-}{c -(}l{c )-}{c -(}\textit{c -(}\textbf{c -(}Relationship between health care workers and the community{c )-}{c )-}{c )-}                                                                                                                                                                                                            \\ \hline
{res}{txt}
{com}.         tex \begin{c -(}tabular{c )-}[c]{c -(}@{c -(}{c )-}l@{c -(}{c )-}{c )-}Whether household members report being ``satisfied"/``very satisfied" with their relationship with health center staff\end{c -(}tabular{c )-}                                                                                                             &  `b_sat_rel_m'\%    \\ 
{res}{txt}
{com}.         tex Whether household members say they trust the workers at the health center                                                                                                                                                                                                         &  `b_trust_hw_m'\%     \\ 
{res}{txt}
{com}.         tex \begin{c -(}tabular{c )-}[c]{c -(}@{c -(}{c )-}l@{c -(}{c )-}{c )-}Whether health center staff report being ``satisfied"/``very satisfied" with their relationship with the community\end{c -(}tabular{c )-}                                                                                                                     &  `b_h_satisfiedrel_m'\%   \\
{res}{txt}
{com}.         tex \begin{c -(}tabular{c )-}[c]{c -(}@{c -(}{c )-}l@{c -(}{c )-}{c )-}Whether household members did not say that the health center staff would ``refuse to see me" or ``behave\\ hostilely toward me" if they had a complaint about the quality of services at the health center and decided\\ to talk to the facility staff\end{c -(}tabular{c )-} &  `b_complain_m'\%         \\ \hline
{res}{txt}
{com}.         tex \multicolumn{c -(}2{c )-}{c -(}l{c )-}{c -(}\textit{c -(}\textbf{c -(}Health center transparency{c )-}{c )-}{c )-}                                                                                                                                                                                                                                            \\ \hline
{res}{txt}
{com}.         tex \begin{c -(}tabular{c )-}[c]{c -(}@{c -(}{c )-}l@{c -(}{c )-}{c )-}Whether a poster showing health center's opening/closing hours was visible during unannounced visit to the HC\end{c -(}tabular{c )-}                                                                                                               &  `b_h_opening_posters_m'\%     \\ 
{res}{txt}
{com}.         tex Whether a staff duty roster was displayed publicly during unannounced visit                                                                                                                                                                              &  `b_h_dutyroster_m'\%          \\ 
{res}{txt}
{com}.         tex Whether a suggestion box was present during unannounced visit                                                                                                                                                                                          &  `b_h_sugbox_m'\%              \\ 
{res}{txt}
{com}.         tex \begin{c -(}tabular{c )-}[c]{c -(}@{c -(}{c )-}l@{c -(}{c )-}{c )-}Whether information was posted listing services provided at the health center during unannounced visit\end{c -(}tabular{c )-}                                                                                                                    &  `b_h_infoservice_m'\%         \\ 
{res}{txt}
{com}.         tex \begin{c -(}tabular{c )-}[c]{c -(}@{c -(}{c )-}l@{c -(}{c )-}{c )-}Whether information was posted about patients' rights and responsibilities during the announced visit\end{c -(}tabular{c )-}                                                                                                              &  `b_h_infoprights_m'\%         \\ \hline
{res}{txt}
{com}.         tex \end{c -(}tabular{c )-}
{res}{txt}
{com}.         tex \end{c -(}center{c )-}
{res}{txt}
{com}.         tex \end{c -(}table{c )-}
{res}{txt}
{com}.         texdoc close
{txt}(texdoc output written to {browse `"/Users/fredericcochinard/Dropbox/ACT_Health_JOP_replication_file/3.Tables and Figures/Tables/TableG1.tex"':/Users/fredericcochinard/Dropbox/ACT_Health_JOP_replication_file/3.Tables and Figures/Tables/TableG1.tex})
{res}{txt}
{com}.         
.         *******************************************
.         * Table G3: Balance Across Treatment Arms *
.         *******************************************
.         
.         use "${c -(}usedata{c )-}/chp_el_light_dataset.dta", clear
{txt}
{com}.         
.         ****************************************
.         * A. Characteristics of catchment area *
.         ****************************************
.         
.         * We calculate the average distance to HC, variable b_distance_hc
.         
.         * The distance is already calculated
.         
.         local variable `variable' b_distance_hc
{txt}
{com}.         
.         * We calculate the average household wealth in CA , variable b_avg_assetindex
.         
.         byso hc_id: egen b_avg_assetindex = mean(b_assetindex)
{txt}
{com}.         
.         local variable `variable' b_avg_assetindex
{txt}
{com}.         
.         * We calculate the log of pop density following discussion with PIs, variable b_h_popdensity
.         
.         replace b_h_popdensity = log(b_h_popdensity)
{txt}variable {bf}b_h_popdensity{sf} was {bf}{res}long{sf}{txt} now {bf}{res}double{sf}
{txt}(15,295 real changes made)

{com}.         
.         local variable `variable' b_h_popdensity
{txt}
{com}.         
.         * We calculate the level of education of the household head, variable educyr
.         
.         byso hc_id : egen b_educyr = mean(educyr)
{txt}
{com}.         
.         local variable `variable' b_educyr
{txt}
{com}.         
.         * We calculate the number of visit of the VHTs to household, variable b_avg_vhtvisit
.         
.         recode b_vht_visited_hh (2 = 0)
{txt}(b_vht_visited_hh: 7278 changes made)

{com}.         
.         byso hc_id : egen b_avg_vhtvisit = mean(b_vht_visited_hh)
{txt}
{com}.         
.         local variable `variable' b_avg_vhtvisit
{txt}
{com}.         
.         * We calculate the number of households declaring a NGO in the village, variable b_ngo_hc
.         
.         byso hc_id : egen b_avg_ngo = mean(b_ngo_hc)
{txt}
{com}.         
.         local variable `variable' b_avg_ngo
{txt}
{com}.         
.         
.         * We keep the right variable
.         
.         preserve
{txt}
{com}.         
.         keep hc_id treatment treatfull treatinter treatinfo uniquehc `variable'
{txt}
{com}.         
.         foreach var of local variable {c -(}
{txt}  2{com}.         
.         * Treatment group
.         
.         qui sum `var' if treatment == 1 & uniquehc == 1
{txt}  3{com}.         
.         local mean_t_`var' = string(`r(mean)',"%9.2fc")
{txt}  4{com}.         
.         * Info group
.         
.         qui sum `var' if treatment == 2 & uniquehc == 1
{txt}  5{com}.         
.         local mean_inf_`var' = string(`r(mean)',"%9.2fc")
{txt}  6{com}.                 
.         * Inter group
.         
.         qui sum `var' if treatment == 3 & uniquehc == 1
{txt}  7{com}.         
.         local mean_int_`var' = string(`r(mean)',"%9.2fc")
{txt}  8{com}.                 
.         * Control group
.         
.         qui sum `var' if treatment == 4 & uniquehc == 1
{txt}  9{com}.         
.         local mean_c_`var' = string(`r(mean)',"%9.2fc")
{txt} 10{com}.         
.         * Difference Treatment - Control
.         
.         ttest `var' if uniquehc == 1, by(treatfull)
{txt} 11{com}.         
.         local m_diff_tc_`var' = `r(mu_1)' - `r(mu_2)'
{txt} 12{com}.         
.         local p_diff_tc_`var' = (2 * ttail(`r(df_t)', abs(`m_diff_tc_`var''/`r(se)')))
{txt} 13{com}.         
.         local p_diff_tc_`var' = string(`p_diff_tc_`var'',"%9.2fc")
{txt} 14{com}.         
.         * Difference Info - no Info
.         
.         ttest `var' if uniquehc == 1, by(treatinfo)
{txt} 15{com}.         
.         local m_diff_info_`var' = `r(mu_1)' - `r(mu_2)'
{txt} 16{com}.         
.         local p_diff_info_`var' = (2 * ttail(`r(df_t)', abs(`m_diff_info_`var''/`r(se)')))
{txt} 17{com}.         
.         local p_diff_info_`var' = string(`p_diff_info_`var'',"%9.2fc")
{txt} 18{com}.         
.         * Difference Inter - no Inter
.         
.         ttest `var' if uniquehc == 1, by(treatinter)
{txt} 19{com}.         
.         local m_diff_inter_`var' = `r(mu_1)' - `r(mu_2)'
{txt} 20{com}.         
.         local p_diff_inter_`var' = (2 * ttail(`r(df_t)', abs(`m_diff_inter_`var''/`r(se)')))
{txt} 21{com}.         
.         local p_diff_inter_`var' = string(`p_diff_inter_`var'',"%9.2fc")
{txt} 22{com}.         
.         {c )-}

{txt}Two-sample t test with equal variances
{hline 9}{c TT}{hline 68}
   Group{col 10}{c |}{col 16}Obs{col 27}Mean{col 35}Std. Err.{col 47}Std. Dev.{col 59}[95% Conf. Interval]
{hline 9}{c +}{hline 68}
 Control {c |}{res}{col 12}     95{col 22} 1.338881{col 34} .3081721{col 46}  3.00369{col 58} .7269977{col 70} 1.950764
    {txt}Full {c |}{res}{col 12}     92{col 22} .9770971{col 34} .1235454{col 46} 1.185006{col 58} .7316894{col 70} 1.222505
{txt}{hline 9}{c +}{hline 68}
combined {c |}{res}{col 12}    187{col 22} 1.160891{col 34} .1680255{col 46} 2.297715{col 58} .8294101{col 70} 1.492372
{txt}{hline 9}{c +}{hline 68}
    diff {c |}{res}{col 22} .3617836{col 34} .3359501{col 58}-.3010023{col 70}  1.02457
{txt}{hline 9}{c BT}{hline 68}
    diff = mean({res}Control{txt}) - mean({res}Full{txt})                             t = {res}  1.0769
{txt}Ho: diff = 0                                     degrees of freedom = {res}     185

    {txt}Ha: diff < 0                 Ha: diff != 0                 Ha: diff > 0
 Pr(T < t) = {res}0.8585         {txt}Pr(|T| > |t|) = {res}0.2829          {txt}Pr(T > t) = {res}0.1415

{txt}Two-sample t test with equal variances
{hline 9}{c TT}{hline 68}
   Group{col 10}{c |}{col 16}Obs{col 27}Mean{col 35}Std. Err.{col 47}Std. Dev.{col 59}[95% Conf. Interval]
{hline 9}{c +}{hline 68}
 No info {c |}{res}{col 12}    192{col 22} 1.091822{col 34} .1557434{col 46} 2.158044{col 58} .7846237{col 70}  1.39902
    {txt}Info {c |}{res}{col 12}    184{col 22} .9752543{col 34} .0890995{col 46} 1.208605{col 58} .7994598{col 70} 1.151049
{txt}{hline 9}{c +}{hline 68}
combined {c |}{res}{col 12}    376{col 22} 1.034778{col 34} .0906285{col 46} 1.757351{col 58} .8565744{col 70} 1.212982
{txt}{hline 9}{c +}{hline 68}
    diff {c |}{res}{col 22} .1165674{col 34} .1814401{col 58}-.2402032{col 70}  .473338
{txt}{hline 9}{c BT}{hline 68}
    diff = mean({res}No info{txt}) - mean({res}Info{txt})                             t = {res}  0.6425
{txt}Ho: diff = 0                                     degrees of freedom = {res}     374

    {txt}Ha: diff < 0                 Ha: diff != 0                 Ha: diff > 0
 Pr(T < t) = {res}0.7395         {txt}Pr(|T| > |t|) = {res}0.5210          {txt}Pr(T > t) = {res}0.2605

{txt}Two-sample t test with equal variances
{hline 9}{c TT}{hline 68}
   Group{col 10}{c |}{col 16}Obs{col 27}Mean{col 35}Std. Err.{col 47}Std. Dev.{col 59}[95% Conf. Interval]
{hline 9}{c +}{hline 68}
No inter {c |}{res}{col 12}    187{col 22} 1.159078{col 34} .1690377{col 46} 2.311556{col 58} .8256001{col 70} 1.492555
{txt}Interfac {c |}{res}{col 12}    189{col 22} .9117938{col 34} .0667903{col 46} .9182155{col 58}  .780039{col 70} 1.043549
{txt}{hline 9}{c +}{hline 68}
combined {c |}{res}{col 12}    376{col 22} 1.034778{col 34} .0906285{col 46} 1.757351{col 58} .8565744{col 70} 1.212982
{txt}{hline 9}{c +}{hline 68}
    diff {c |}{res}{col 22} .2472838{col 34} .1810507{col 58} -.108721{col 70} .6032887
{txt}{hline 9}{c BT}{hline 68}
    diff = mean({res}No inter{txt}) - mean({res}Interfac{txt})                        t = {res}  1.3658
{txt}Ho: diff = 0                                     degrees of freedom = {res}     374

    {txt}Ha: diff < 0                 Ha: diff != 0                 Ha: diff > 0
 Pr(T < t) = {res}0.9136         {txt}Pr(|T| > |t|) = {res}0.1728          {txt}Pr(T > t) = {res}0.0864

{txt}Two-sample t test with equal variances
{hline 9}{c TT}{hline 68}
   Group{col 10}{c |}{col 16}Obs{col 27}Mean{col 35}Std. Err.{col 47}Std. Dev.{col 59}[95% Conf. Interval]
{hline 9}{c +}{hline 68}
 Control {c |}{res}{col 12}     95{col 22} .0187563{col 34} .0572453{col 46}  .557958{col 58}-.0949056{col 70} .1324181
    {txt}Full {c |}{res}{col 12}     92{col 22} .0053618{col 34} .0532652{col 46} .5109018{col 58} -.100443{col 70} .1111665
{txt}{hline 9}{c +}{hline 68}
combined {c |}{res}{col 12}    187{col 22} .0121665{col 34} .0390448{col 46} .5339298{col 58}-.0648611{col 70} .0891941
{txt}{hline 9}{c +}{hline 68}
    diff {c |}{res}{col 22} .0133945{col 34} .0783043{col 58}-.1410897{col 70} .1678787
{txt}{hline 9}{c BT}{hline 68}
    diff = mean({res}Control{txt}) - mean({res}Full{txt})                             t = {res}  0.1711
{txt}Ho: diff = 0                                     degrees of freedom = {res}     185

    {txt}Ha: diff < 0                 Ha: diff != 0                 Ha: diff > 0
 Pr(T < t) = {res}0.5678         {txt}Pr(|T| > |t|) = {res}0.8644          {txt}Pr(T > t) = {res}0.4322

{txt}Two-sample t test with equal variances
{hline 9}{c TT}{hline 68}
   Group{col 10}{c |}{col 16}Obs{col 27}Mean{col 35}Std. Err.{col 47}Std. Dev.{col 59}[95% Conf. Interval]
{hline 9}{c +}{hline 68}
 No info {c |}{res}{col 12}    192{col 22} .0069012{col 34} .0363329{col 46} .5034432{col 58} -.064764{col 70} .0785664
    {txt}Info {c |}{res}{col 12}    184{col 22}-.0065982{col 34} .0366902{col 46} .4976901{col 58}-.0789884{col 70}  .065792
{txt}{hline 9}{c +}{hline 68}
combined {c |}{res}{col 12}    376{col 22} .0002951{col 34} .0257863{col 46} .5000141{col 58}-.0504087{col 70} .0509989
{txt}{hline 9}{c +}{hline 68}
    diff {c |}{res}{col 22} .0134994{col 34} .0516484{col 58}-.0880582{col 70} .1150571
{txt}{hline 9}{c BT}{hline 68}
    diff = mean({res}No info{txt}) - mean({res}Info{txt})                             t = {res}  0.2614
{txt}Ho: diff = 0                                     degrees of freedom = {res}     374

    {txt}Ha: diff < 0                 Ha: diff != 0                 Ha: diff > 0
 Pr(T < t) = {res}0.6030         {txt}Pr(|T| > |t|) = {res}0.7939          {txt}Pr(T > t) = {res}0.3970

{txt}Two-sample t test with equal variances
{hline 9}{c TT}{hline 68}
   Group{col 10}{c |}{col 16}Obs{col 27}Mean{col 35}Std. Err.{col 47}Std. Dev.{col 59}[95% Conf. Interval]
{hline 9}{c +}{hline 68}
No inter {c |}{res}{col 12}    187{col 22} .0003983{col 34} .0382461{col 46}  .523008{col 58}-.0750537{col 70} .0758503
{txt}Interfac {c |}{res}{col 12}    189{col 22} .0001929{col 34} .0347379{col 46} .4775677{col 58}-.0683333{col 70} .0687192
{txt}{hline 9}{c +}{hline 68}
combined {c |}{res}{col 12}    376{col 22} .0002951{col 34} .0257863{col 46} .5000141{col 58}-.0504087{col 70} .0509989
{txt}{hline 9}{c +}{hline 68}
    diff {c |}{res}{col 22} .0002054{col 34} .0516421{col 58}  -.10134{col 70} .1017507
{txt}{hline 9}{c BT}{hline 68}
    diff = mean({res}No inter{txt}) - mean({res}Interfac{txt})                        t = {res}  0.0040
{txt}Ho: diff = 0                                     degrees of freedom = {res}     374

    {txt}Ha: diff < 0                 Ha: diff != 0                 Ha: diff > 0
 Pr(T < t) = {res}0.5016         {txt}Pr(|T| > |t|) = {res}0.9968          {txt}Pr(T > t) = {res}0.4984

{txt}Two-sample t test with equal variances
{hline 9}{c TT}{hline 68}
   Group{col 10}{c |}{col 16}Obs{col 27}Mean{col 35}Std. Err.{col 47}Std. Dev.{col 59}[95% Conf. Interval]
{hline 9}{c +}{hline 68}
 Control {c |}{res}{col 12}     95{col 22} 8.635954{col 34} .1082672{col 46} 1.055258{col 58} 8.420987{col 70} 8.850921
    {txt}Full {c |}{res}{col 12}     92{col 22} 8.461068{col 34} .0939649{col 46} .9012795{col 58} 8.274419{col 70} 8.647718
{txt}{hline 9}{c +}{hline 68}
combined {c |}{res}{col 12}    187{col 22} 8.549914{col 34}  .071943{col 46} .9838062{col 58} 8.407985{col 70} 8.691843
{txt}{hline 9}{c +}{hline 68}
    diff {c |}{res}{col 22} .1748857{col 34}  .143719{col 58}-.1086532{col 70} .4584245
{txt}{hline 9}{c BT}{hline 68}
    diff = mean({res}Control{txt}) - mean({res}Full{txt})                             t = {res}  1.2169
{txt}Ho: diff = 0                                     degrees of freedom = {res}     185

    {txt}Ha: diff < 0                 Ha: diff != 0                 Ha: diff > 0
 Pr(T < t) = {res}0.8874         {txt}Pr(|T| > |t|) = {res}0.2252          {txt}Pr(T > t) = {res}0.1126

{txt}Two-sample t test with equal variances
{hline 9}{c TT}{hline 68}
   Group{col 10}{c |}{col 16}Obs{col 27}Mean{col 35}Std. Err.{col 47}Std. Dev.{col 59}[95% Conf. Interval]
{hline 9}{c +}{hline 68}
 No info {c |}{res}{col 12}    192{col 22} 8.638997{col 34} .0730876{col 46} 1.012732{col 58} 8.494835{col 70}  8.78316
    {txt}Info {c |}{res}{col 12}    184{col 22} 8.542479{col 34} .0695082{col 46}  .942855{col 58} 8.405339{col 70}  8.67962
{txt}{hline 9}{c +}{hline 68}
combined {c |}{res}{col 12}    376{col 22} 8.591765{col 34} .0504907{col 46} .9790502{col 58} 8.492485{col 70} 8.691045
{txt}{hline 9}{c +}{hline 68}
    diff {c |}{res}{col 22} .0965178{col 34} .1010159{col 58}-.1021126{col 70} .2951481
{txt}{hline 9}{c BT}{hline 68}
    diff = mean({res}No info{txt}) - mean({res}Info{txt})                             t = {res}  0.9555
{txt}Ho: diff = 0                                     degrees of freedom = {res}     374

    {txt}Ha: diff < 0                 Ha: diff != 0                 Ha: diff > 0
 Pr(T < t) = {res}0.8300         {txt}Pr(|T| > |t|) = {res}0.3400          {txt}Pr(T > t) = {res}0.1700

{txt}Two-sample t test with equal variances
{hline 9}{c TT}{hline 68}
   Group{col 10}{c |}{col 16}Obs{col 27}Mean{col 35}Std. Err.{col 47}Std. Dev.{col 59}[95% Conf. Interval]
{hline 9}{c +}{hline 68}
No inter {c |}{res}{col 12}    187{col 22} 8.630019{col 34}  .074341{col 46} 1.016598{col 58} 8.483359{col 70} 8.776679
{txt}Interfac {c |}{res}{col 12}    189{col 22} 8.553916{col 34} .0684912{col 46} .9415986{col 58} 8.418806{col 70} 8.689026
{txt}{hline 9}{c +}{hline 68}
combined {c |}{res}{col 12}    376{col 22} 8.591765{col 34} .0504907{col 46} .9790502{col 58} 8.492485{col 70} 8.691045
{txt}{hline 9}{c +}{hline 68}
    diff {c |}{res}{col 22} .0761031{col 34} .1010411{col 58}-.1225767{col 70} .2747829
{txt}{hline 9}{c BT}{hline 68}
    diff = mean({res}No inter{txt}) - mean({res}Interfac{txt})                        t = {res}  0.7532
{txt}Ho: diff = 0                                     degrees of freedom = {res}     374

    {txt}Ha: diff < 0                 Ha: diff != 0                 Ha: diff > 0
 Pr(T < t) = {res}0.7741         {txt}Pr(|T| > |t|) = {res}0.4518          {txt}Pr(T > t) = {res}0.2259

{txt}Two-sample t test with equal variances
{hline 9}{c TT}{hline 68}
   Group{col 10}{c |}{col 16}Obs{col 27}Mean{col 35}Std. Err.{col 47}Std. Dev.{col 59}[95% Conf. Interval]
{hline 9}{c +}{hline 68}
 Control {c |}{res}{col 12}     95{col 22} 7.661874{col 34} .1559067{col 46}  1.51959{col 58} 7.352318{col 70} 7.971431
    {txt}Full {c |}{res}{col 12}     92{col 22} 7.589696{col 34} .1411592{col 46} 1.353951{col 58} 7.309301{col 70} 7.870092
{txt}{hline 9}{c +}{hline 68}
combined {c |}{res}{col 12}    187{col 22} 7.626364{col 34} .1050892{col 46} 1.437074{col 58} 7.419044{col 70} 7.833684
{txt}{hline 9}{c +}{hline 68}
    diff {c |}{res}{col 22} .0721777{col 34} .2107061{col 58} -.343518{col 70} .4878734
{txt}{hline 9}{c BT}{hline 68}
    diff = mean({res}Control{txt}) - mean({res}Full{txt})                             t = {res}  0.3426
{txt}Ho: diff = 0                                     degrees of freedom = {res}     185

    {txt}Ha: diff < 0                 Ha: diff != 0                 Ha: diff > 0
 Pr(T < t) = {res}0.6338         {txt}Pr(|T| > |t|) = {res}0.7323          {txt}Pr(T > t) = {res}0.3662

{txt}Two-sample t test with equal variances
{hline 9}{c TT}{hline 68}
   Group{col 10}{c |}{col 16}Obs{col 27}Mean{col 35}Std. Err.{col 47}Std. Dev.{col 59}[95% Conf. Interval]
{hline 9}{c +}{hline 68}
 No info {c |}{res}{col 12}    192{col 22} 7.544633{col 34} .1019229{col 46} 1.412286{col 58} 7.343594{col 70} 7.745672
    {txt}Info {c |}{res}{col 12}    184{col 22} 7.518927{col 34} .1005592{col 46} 1.364052{col 58} 7.320523{col 70} 7.717332
{txt}{hline 9}{c +}{hline 68}
combined {c |}{res}{col 12}    376{col 22} 7.532053{col 34} .0715342{col 46}   1.3871{col 58} 7.391395{col 70} 7.672712
{txt}{hline 9}{c +}{hline 68}
    diff {c |}{res}{col 22} .0257057{col 34} .1432859{col 58}-.2560412{col 70} .3074527
{txt}{hline 9}{c BT}{hline 68}
    diff = mean({res}No info{txt}) - mean({res}Info{txt})                             t = {res}  0.1794
{txt}Ho: diff = 0                                     degrees of freedom = {res}     374

    {txt}Ha: diff < 0                 Ha: diff != 0                 Ha: diff > 0
 Pr(T < t) = {res}0.5711         {txt}Pr(|T| > |t|) = {res}0.8577          {txt}Pr(T > t) = {res}0.4289

{txt}Two-sample t test with equal variances
{hline 9}{c TT}{hline 68}
   Group{col 10}{c |}{col 16}Obs{col 27}Mean{col 35}Std. Err.{col 47}Std. Dev.{col 59}[95% Conf. Interval]
{hline 9}{c +}{hline 68}
No inter {c |}{res}{col 12}    187{col 22}  7.55673{col 34} .1061545{col 46} 1.451641{col 58} 7.347309{col 70} 7.766152
{txt}Interfac {c |}{res}{col 12}    189{col 22} 7.507638{col 34} .0962749{col 46} 1.323561{col 58}  7.31772{col 70} 7.697556
{txt}{hline 9}{c +}{hline 68}
combined {c |}{res}{col 12}    376{col 22} 7.532053{col 34} .0715342{col 46}   1.3871{col 58} 7.391395{col 70} 7.672712
{txt}{hline 9}{c +}{hline 68}
    diff {c |}{res}{col 22} .0490926{col 34} .1432392{col 58}-.2325625{col 70} .3307476
{txt}{hline 9}{c BT}{hline 68}
    diff = mean({res}No inter{txt}) - mean({res}Interfac{txt})                        t = {res}  0.3427
{txt}Ho: diff = 0                                     degrees of freedom = {res}     374

    {txt}Ha: diff < 0                 Ha: diff != 0                 Ha: diff > 0
 Pr(T < t) = {res}0.6340         {txt}Pr(|T| > |t|) = {res}0.7320          {txt}Pr(T > t) = {res}0.3660

{txt}Two-sample t test with equal variances
{hline 9}{c TT}{hline 68}
   Group{col 10}{c |}{col 16}Obs{col 27}Mean{col 35}Std. Err.{col 47}Std. Dev.{col 59}[95% Conf. Interval]
{hline 9}{c +}{hline 68}
 Control {c |}{res}{col 12}     95{col 22} .4809601{col 34} .0194789{col 46} .1898567{col 58} .4422843{col 70} .5196359
    {txt}Full {c |}{res}{col 12}     92{col 22} .4746111{col 34} .0209069{col 46} .2005319{col 58} .4330821{col 70}   .51614
{txt}{hline 9}{c +}{hline 68}
combined {c |}{res}{col 12}    187{col 22} .4778365{col 34} .0142365{col 46} .1946813{col 58} .4497507{col 70} .5059223
{txt}{hline 9}{c +}{hline 68}
    diff {c |}{res}{col 22} .0063491{col 34} .0285497{col 58}-.0499758{col 70}  .062674
{txt}{hline 9}{c BT}{hline 68}
    diff = mean({res}Control{txt}) - mean({res}Full{txt})                             t = {res}  0.2224
{txt}Ho: diff = 0                                     degrees of freedom = {res}     185

    {txt}Ha: diff < 0                 Ha: diff != 0                 Ha: diff > 0
 Pr(T < t) = {res}0.5879         {txt}Pr(|T| > |t|) = {res}0.8243          {txt}Pr(T > t) = {res}0.4121

{txt}Two-sample t test with equal variances
{hline 9}{c TT}{hline 68}
   Group{col 10}{c |}{col 16}Obs{col 27}Mean{col 35}Std. Err.{col 47}Std. Dev.{col 59}[95% Conf. Interval]
{hline 9}{c +}{hline 68}
 No info {c |}{res}{col 12}    192{col 22} .4816404{col 34} .0137116{col 46} .1899932{col 58} .4545949{col 70}  .508686
    {txt}Info {c |}{res}{col 12}    184{col 22} .4757393{col 34} .0139497{col 46} .1892226{col 58} .4482164{col 70} .5032622
{txt}{hline 9}{c +}{hline 68}
combined {c |}{res}{col 12}    376{col 22} .4787526{col 34} .0097669{col 46} .1893866{col 58} .4595479{col 70} .4979573
{txt}{hline 9}{c +}{hline 68}
    diff {c |}{res}{col 22} .0059011{col 34} .0195619{col 58}-.0325639{col 70} .0443662
{txt}{hline 9}{c BT}{hline 68}
    diff = mean({res}No info{txt}) - mean({res}Info{txt})                             t = {res}  0.3017
{txt}Ho: diff = 0                                     degrees of freedom = {res}     374

    {txt}Ha: diff < 0                 Ha: diff != 0                 Ha: diff > 0
 Pr(T < t) = {res}0.6185         {txt}Pr(|T| > |t|) = {res}0.7631          {txt}Pr(T > t) = {res}0.3815

{txt}Two-sample t test with equal variances
{hline 9}{c TT}{hline 68}
   Group{col 10}{c |}{col 16}Obs{col 27}Mean{col 35}Std. Err.{col 47}Std. Dev.{col 59}[95% Conf. Interval]
{hline 9}{c +}{hline 68}
No inter {c |}{res}{col 12}    187{col 22} .4789466{col 34} .0134389{col 46} .1837746{col 58} .4524343{col 70}  .505459
{txt}Interfac {c |}{res}{col 12}    189{col 22} .4785607{col 34} .0142037{col 46} .1952687{col 58} .4505415{col 70} .5065798
{txt}{hline 9}{c +}{hline 68}
combined {c |}{res}{col 12}    376{col 22} .4787526{col 34} .0097669{col 46} .1893866{col 58} .4595479{col 70} .4979573
{txt}{hline 9}{c +}{hline 68}
    diff {c |}{res}{col 22}  .000386{col 34} .0195601{col 58}-.0380756{col 70} .0388475
{txt}{hline 9}{c BT}{hline 68}
    diff = mean({res}No inter{txt}) - mean({res}Interfac{txt})                        t = {res}  0.0197
{txt}Ho: diff = 0                                     degrees of freedom = {res}     374

    {txt}Ha: diff < 0                 Ha: diff != 0                 Ha: diff > 0
 Pr(T < t) = {res}0.5079         {txt}Pr(|T| > |t|) = {res}0.9843          {txt}Pr(T > t) = {res}0.4921

{txt}Two-sample t test with equal variances
{hline 9}{c TT}{hline 68}
   Group{col 10}{c |}{col 16}Obs{col 27}Mean{col 35}Std. Err.{col 47}Std. Dev.{col 59}[95% Conf. Interval]
{hline 9}{c +}{hline 68}
 Control {c |}{res}{col 12}     95{col 22}       .4{col 34} .0505291{col 46} .4924969{col 58} .2996733{col 70} .5003267
    {txt}Full {c |}{res}{col 12}     92{col 22} .4673913{col 34} .0523027{col 46} .5016695{col 58} .3634985{col 70} .5712841
{txt}{hline 9}{c +}{hline 68}
combined {c |}{res}{col 12}    187{col 22} .4331551{col 34} .0363327{col 46} .4968418{col 58}  .361478{col 70} .5048322
{txt}{hline 9}{c +}{hline 68}
    diff {c |}{res}{col 22}-.0673913{col 34} .0727022{col 58}-.2108233{col 70} .0760407
{txt}{hline 9}{c BT}{hline 68}
    diff = mean({res}Control{txt}) - mean({res}Full{txt})                             t = {res} -0.9269
{txt}Ho: diff = 0                                     degrees of freedom = {res}     185

    {txt}Ha: diff < 0                 Ha: diff != 0                 Ha: diff > 0
 Pr(T < t) = {res}0.1776         {txt}Pr(|T| > |t|) = {res}0.3552          {txt}Pr(T > t) = {res}0.8224

{txt}Two-sample t test with equal variances
{hline 9}{c TT}{hline 68}
   Group{col 10}{c |}{col 16}Obs{col 27}Mean{col 35}Std. Err.{col 47}Std. Dev.{col 59}[95% Conf. Interval]
{hline 9}{c +}{hline 68}
 No info {c |}{res}{col 12}    192{col 22}  .390625{col 34} .0353025{col 46}  .489166{col 58} .3209921{col 70} .4602579
    {txt}Info {c |}{res}{col 12}    184{col 22} .4076087{col 34} .0363246{col 46} .4927305{col 58} .3359399{col 70} .4792775
{txt}{hline 9}{c +}{hline 68}
combined {c |}{res}{col 12}    376{col 22} .3989362{col 34} .0252869{col 46} .4903321{col 58} .3492142{col 70} .4486581
{txt}{hline 9}{c +}{hline 68}
    diff {c |}{res}{col 22}-.0169837{col 34} .0506453{col 58}-.1165689{col 70} .0826016
{txt}{hline 9}{c BT}{hline 68}
    diff = mean({res}No info{txt}) - mean({res}Info{txt})                             t = {res} -0.3353
{txt}Ho: diff = 0                                     degrees of freedom = {res}     374

    {txt}Ha: diff < 0                 Ha: diff != 0                 Ha: diff > 0
 Pr(T < t) = {res}0.3688         {txt}Pr(|T| > |t|) = {res}0.7376          {txt}Pr(T > t) = {res}0.6312

{txt}Two-sample t test with equal variances
{hline 9}{c TT}{hline 68}
   Group{col 10}{c |}{col 16}Obs{col 27}Mean{col 35}Std. Err.{col 47}Std. Dev.{col 59}[95% Conf. Interval]
{hline 9}{c +}{hline 68}
No inter {c |}{res}{col 12}    187{col 22} .3743316{col 34} .0354849{col 46}  .485249{col 58} .3043269{col 70} .4443362
{txt}Interfac {c |}{res}{col 12}    189{col 22} .4232804{col 34} .0360344{col 46} .4953913{col 58} .3521967{col 70} .4943642
{txt}{hline 9}{c +}{hline 68}
combined {c |}{res}{col 12}    376{col 22} .3989362{col 34} .0252869{col 46} .4903321{col 58} .3492142{col 70} .4486581
{txt}{hline 9}{c +}{hline 68}
    diff {c |}{res}{col 22}-.0489489{col 34} .0505789{col 58}-.1484035{col 70} .0505058
{txt}{hline 9}{c BT}{hline 68}
    diff = mean({res}No inter{txt}) - mean({res}Interfac{txt})                        t = {res} -0.9678
{txt}Ho: diff = 0                                     degrees of freedom = {res}     374

    {txt}Ha: diff < 0                 Ha: diff != 0                 Ha: diff > 0
 Pr(T < t) = {res}0.1669         {txt}Pr(|T| > |t|) = {res}0.3338          {txt}Pr(T > t) = {res}0.8331
{txt}
{com}.         
.         restore
{txt}
{com}.         
.         ****************************
.         * B. Characteristics of HC *
.         ****************************
. 
.         * We calculate the % of HC providing delivery services,variable b_h_del
.         
.         * The variable is already calculated
.         
.         local variable b_h_del
{txt}
{com}.         
.         * We calculate the % of HC having staff houses
.         
.         * The variable is already calculated
.         
.         local variable `variable' b_h_staff_houses
{txt}
{com}.         
.         * We calculate the number of trained staff
.         
.         * The variable is already calculated
.         
.         local variable `variable' b_h_trainedstaff
{txt}
{com}.         
.         * We calculate the percentage of HC having piped water
.         
.         gen b_h_pipedwater = (b_h_source_water == 2)
{txt}
{com}.         
.         local variable `variable' b_h_pipedwater
{txt}
{com}.         
.         * We calculate the percentage of HC having electricity
.         
.         gen b_h_elec = (inlist(b_h_source_electricity,1,2))
{txt}
{com}.         
.         local variable `variable' b_h_elec
{txt}
{com}.         
.         * We calculate the distance to the nearest other type of HF
.         
.         * The variable is already calculated
.         
.         local variable `variable' b_h_mindist_hc
{txt}
{com}.         
.         * We keep the right variable
.         
.         preserve
{txt}
{com}.         
.         keep hc_id treatment treatfull treatinter treatinfo uniquehc `variable'
{txt}
{com}.         
.         foreach var of local variable {c -(}
{txt}  2{com}.         
.         * Treatment group
.         
.         qui sum `var' if treatment == 1 & uniquehc == 1
{txt}  3{com}.         
.         local mean_t_`var' = string(`r(mean)',"%9.2fc")
{txt}  4{com}.         
.         * Info group
.         
.         qui sum `var' if treatment == 2 & uniquehc == 1
{txt}  5{com}.         
.         local mean_inf_`var' = string(`r(mean)',"%9.2fc")
{txt}  6{com}.                 
.         * Inter group
.         
.         qui sum `var' if treatment == 3 & uniquehc == 1
{txt}  7{com}.         
.         local mean_int_`var' = string(`r(mean)',"%9.2fc")
{txt}  8{com}.                 
.         * Control group
.         
.         qui sum `var' if treatment == 4 & uniquehc == 1
{txt}  9{com}.         
.         local mean_c_`var' = string(`r(mean)',"%9.2fc")
{txt} 10{com}.         
.         * Difference Treatment - Control
.         
.         ttest `var' if uniquehc == 1, by(treatfull)
{txt} 11{com}.         
.         local m_diff_tc_`var' = `r(mu_1)' - `r(mu_2)'
{txt} 12{com}.         
.         local p_diff_tc_`var' = (2 * ttail(`r(df_t)', abs(`m_diff_tc_`var''/`r(se)')))
{txt} 13{com}.         
.         local p_diff_tc_`var' = string(`p_diff_tc_`var'',"%9.2fc")
{txt} 14{com}.         
.         * Difference Info - no Info
.         
.         ttest `var' if uniquehc == 1, by(treatinfo)
{txt} 15{com}.         
.         local m_diff_info_`var' = `r(mu_1)' - `r(mu_2)'
{txt} 16{com}.         
.         local p_diff_info_`var' = (2 * ttail(`r(df_t)', abs(`m_diff_info_`var''/`r(se)')))
{txt} 17{com}.         
.         local p_diff_info_`var' = string(`p_diff_info_`var'',"%9.2fc")
{txt} 18{com}.         
.         * Difference Inter - no Inter
.         
.         ttest `var' if uniquehc == 1, by(treatinter)
{txt} 19{com}.         
.         local m_diff_inter_`var' = `r(mu_1)' - `r(mu_2)'
{txt} 20{com}.         
.         local p_diff_inter_`var' = (2 * ttail(`r(df_t)', abs(`m_diff_inter_`var''/`r(se)')))
{txt} 21{com}.         
.         local p_diff_inter_`var' = string(`p_diff_inter_`var'',"%9.2fc")
{txt} 22{com}.         
.         {c )-}

{txt}Two-sample t test with equal variances
{hline 9}{c TT}{hline 68}
   Group{col 10}{c |}{col 16}Obs{col 27}Mean{col 35}Std. Err.{col 47}Std. Dev.{col 59}[95% Conf. Interval]
{hline 9}{c +}{hline 68}
 Control {c |}{res}{col 12}     95{col 22} .6631579{col 34} .0487481{col 46} .4751377{col 58} .5663674{col 70} .7599484
    {txt}Full {c |}{res}{col 12}     92{col 22} .6413043{col 34} .0502776{col 46} .4822457{col 58} .5414341{col 70} .7411746
{txt}{hline 9}{c +}{hline 68}
combined {c |}{res}{col 12}    187{col 22} .6524064{col 34} .0349171{col 46} .4774845{col 58} .5835219{col 70} .7212909
{txt}{hline 9}{c +}{hline 68}
    diff {c |}{res}{col 22} .0218535{col 34} .0700133{col 58}-.1162736{col 70} .1599807
{txt}{hline 9}{c BT}{hline 68}
    diff = mean({res}Control{txt}) - mean({res}Full{txt})                             t = {res}  0.3121
{txt}Ho: diff = 0                                     degrees of freedom = {res}     185

    {txt}Ha: diff < 0                 Ha: diff != 0                 Ha: diff > 0
 Pr(T < t) = {res}0.6224         {txt}Pr(|T| > |t|) = {res}0.7553          {txt}Pr(T > t) = {res}0.3776

{txt}Two-sample t test with equal variances
{hline 9}{c TT}{hline 68}
   Group{col 10}{c |}{col 16}Obs{col 27}Mean{col 35}Std. Err.{col 47}Std. Dev.{col 59}[95% Conf. Interval]
{hline 9}{c +}{hline 68}
 No info {c |}{res}{col 12}    192{col 22}  .640625{col 34} .0347184{col 46} .4810717{col 58} .5721444{col 70} .7091056
    {txt}Info {c |}{res}{col 12}    184{col 22} .5923913{col 34} .0363246{col 46} .4927305{col 58} .5207225{col 70} .6640601
{txt}{hline 9}{c +}{hline 68}
combined {c |}{res}{col 12}    376{col 22} .6170213{col 34} .0251028{col 46} .4867609{col 58} .5676614{col 70} .6663811
{txt}{hline 9}{c +}{hline 68}
    diff {c |}{res}{col 22} .0482337{col 34} .0502221{col 58}-.0505194{col 70} .1469868
{txt}{hline 9}{c BT}{hline 68}
    diff = mean({res}No info{txt}) - mean({res}Info{txt})                             t = {res}  0.9604
{txt}Ho: diff = 0                                     degrees of freedom = {res}     374

    {txt}Ha: diff < 0                 Ha: diff != 0                 Ha: diff > 0
 Pr(T < t) = {res}0.8313         {txt}Pr(|T| > |t|) = {res}0.3375          {txt}Pr(T > t) = {res}0.1687

{txt}Two-sample t test with equal variances
{hline 9}{c TT}{hline 68}
   Group{col 10}{c |}{col 16}Obs{col 27}Mean{col 35}Std. Err.{col 47}Std. Dev.{col 59}[95% Conf. Interval]
{hline 9}{c +}{hline 68}
No inter {c |}{res}{col 12}    187{col 22} .6042781{col 34} .0358556{col 46}  .490318{col 58} .5335421{col 70}  .675014
{txt}Interfac {c |}{res}{col 12}    189{col 22} .6296296{col 34} .0352194{col 46} .4841865{col 58} .5601537{col 70} .6991056
{txt}{hline 9}{c +}{hline 68}
combined {c |}{res}{col 12}    376{col 22} .6170213{col 34} .0251028{col 46} .4867609{col 58} .5676614{col 70} .6663811
{txt}{hline 9}{c +}{hline 68}
    diff {c |}{res}{col 22}-.0253516{col 34} .0502562{col 58}-.1241718{col 70} .0734687
{txt}{hline 9}{c BT}{hline 68}
    diff = mean({res}No inter{txt}) - mean({res}Interfac{txt})                        t = {res} -0.5044
{txt}Ho: diff = 0                                     degrees of freedom = {res}     374

    {txt}Ha: diff < 0                 Ha: diff != 0                 Ha: diff > 0
 Pr(T < t) = {res}0.3071         {txt}Pr(|T| > |t|) = {res}0.6142          {txt}Pr(T > t) = {res}0.6929

{txt}Two-sample t test with equal variances
{hline 9}{c TT}{hline 68}
   Group{col 10}{c |}{col 16}Obs{col 27}Mean{col 35}Std. Err.{col 47}Std. Dev.{col 59}[95% Conf. Interval]
{hline 9}{c +}{hline 68}
 Control {c |}{res}{col 12}     95{col 22} .8210526{col 34} .0395352{col 46} .3853417{col 58} .7425545{col 70} .8995508
    {txt}Full {c |}{res}{col 12}     92{col 22} .8152174{col 34} .0406861{col 46} .3902478{col 58} .7343994{col 70} .8960354
{txt}{hline 9}{c +}{hline 68}
combined {c |}{res}{col 12}    187{col 22} .8181818{col 34} .0282805{col 46}   .38673{col 58}   .76239{col 70} .8739736
{txt}{hline 9}{c +}{hline 68}
    diff {c |}{res}{col 22} .0058352{col 34} .0567193{col 58}-.1060646{col 70} .1177351
{txt}{hline 9}{c BT}{hline 68}
    diff = mean({res}Control{txt}) - mean({res}Full{txt})                             t = {res}  0.1029
{txt}Ho: diff = 0                                     degrees of freedom = {res}     185

    {txt}Ha: diff < 0                 Ha: diff != 0                 Ha: diff > 0
 Pr(T < t) = {res}0.5409         {txt}Pr(|T| > |t|) = {res}0.9182          {txt}Pr(T > t) = {res}0.4591

{txt}Two-sample t test with equal variances
{hline 9}{c TT}{hline 68}
   Group{col 10}{c |}{col 16}Obs{col 27}Mean{col 35}Std. Err.{col 47}Std. Dev.{col 59}[95% Conf. Interval]
{hline 9}{c +}{hline 68}
 No info {c |}{res}{col 12}    192{col 22} .8020833{col 34} .0288293{col 46} .3994706{col 58} .7452186{col 70} .8589481
    {txt}Info {c |}{res}{col 12}    184{col 22} .8097826{col 34} .0290124{col 46} .3935435{col 58} .7525408{col 70} .8670244
{txt}{hline 9}{c +}{hline 68}
combined {c |}{res}{col 12}    376{col 22} .8058511{col 34} .0204258{col 46} .3960711{col 58} .7656876{col 70} .8460145
{txt}{hline 9}{c +}{hline 68}
    diff {c |}{res}{col 22}-.0076993{col 34} .0409135{col 58}-.0881486{col 70} .0727501
{txt}{hline 9}{c BT}{hline 68}
    diff = mean({res}No info{txt}) - mean({res}Info{txt})                             t = {res} -0.1882
{txt}Ho: diff = 0                                     degrees of freedom = {res}     374

    {txt}Ha: diff < 0                 Ha: diff != 0                 Ha: diff > 0
 Pr(T < t) = {res}0.4254         {txt}Pr(|T| > |t|) = {res}0.8508          {txt}Pr(T > t) = {res}0.5746

{txt}Two-sample t test with equal variances
{hline 9}{c TT}{hline 68}
   Group{col 10}{c |}{col 16}Obs{col 27}Mean{col 35}Std. Err.{col 47}Std. Dev.{col 59}[95% Conf. Interval]
{hline 9}{c +}{hline 68}
No inter {c |}{res}{col 12}    187{col 22} .8128342{col 34} .0285995{col 46} .3910916{col 58} .7564132{col 70} .8692552
{txt}Interfac {c |}{res}{col 12}    189{col 22} .7989418{col 34} .0292307{col 46}  .401856{col 58} .7412794{col 70} .8566042
{txt}{hline 9}{c +}{hline 68}
combined {c |}{res}{col 12}    376{col 22} .8058511{col 34} .0204258{col 46} .3960711{col 58} .7656876{col 70} .8460145
{txt}{hline 9}{c +}{hline 68}
    diff {c |}{res}{col 22} .0138924{col 34} .0409005{col 58}-.0665313{col 70} .0943161
{txt}{hline 9}{c BT}{hline 68}
    diff = mean({res}No inter{txt}) - mean({res}Interfac{txt})                        t = {res}  0.3397
{txt}Ho: diff = 0                                     degrees of freedom = {res}     374

    {txt}Ha: diff < 0                 Ha: diff != 0                 Ha: diff > 0
 Pr(T < t) = {res}0.6328         {txt}Pr(|T| > |t|) = {res}0.7343          {txt}Pr(T > t) = {res}0.3672

{txt}Two-sample t test with equal variances
{hline 9}{c TT}{hline 68}
   Group{col 10}{c |}{col 16}Obs{col 27}Mean{col 35}Std. Err.{col 47}Std. Dev.{col 59}[95% Conf. Interval]
{hline 9}{c +}{hline 68}
 Control {c |}{res}{col 12}     95{col 22} 7.168421{col 34} .5207137{col 46}  5.07529{col 58} 6.134532{col 70}  8.20231
    {txt}Full {c |}{res}{col 12}     92{col 22}  6.26087{col 34} .4280171{col 46} 4.105396{col 58} 5.410666{col 70} 7.111073
{txt}{hline 9}{c +}{hline 68}
combined {c |}{res}{col 12}    187{col 22} 6.721925{col 34} .3388455{col 46} 4.633643{col 58} 6.053451{col 70}   7.3904
{txt}{hline 9}{c +}{hline 68}
    diff {c |}{res}{col 22} .9075515{col 34} .6763242{col 58}-.4267481{col 70} 2.241851
{txt}{hline 9}{c BT}{hline 68}
    diff = mean({res}Control{txt}) - mean({res}Full{txt})                             t = {res}  1.3419
{txt}Ho: diff = 0                                     degrees of freedom = {res}     185

    {txt}Ha: diff < 0                 Ha: diff != 0                 Ha: diff > 0
 Pr(T < t) = {res}0.9094         {txt}Pr(|T| > |t|) = {res}0.1813          {txt}Pr(T > t) = {res}0.0906

{txt}Two-sample t test with equal variances
{hline 9}{c TT}{hline 68}
   Group{col 10}{c |}{col 16}Obs{col 27}Mean{col 35}Std. Err.{col 47}Std. Dev.{col 59}[95% Conf. Interval]
{hline 9}{c +}{hline 68}
 No info {c |}{res}{col 12}    192{col 22}     6.75{col 34} .3530131{col 46} 4.891493{col 58} 6.053695{col 70} 7.446305
    {txt}Info {c |}{res}{col 12}    184{col 22} 6.353261{col 34} .3090481{col 46} 4.192133{col 58} 5.743505{col 70} 6.963017
{txt}{hline 9}{c +}{hline 68}
combined {c |}{res}{col 12}    376{col 22} 6.555851{col 34} .2352127{col 46} 4.560944{col 58}  6.09335{col 70} 7.018352
{txt}{hline 9}{c +}{hline 68}
    diff {c |}{res}{col 22} .3967391{col 34} .4707137{col 58}-.5288381{col 70} 1.322316
{txt}{hline 9}{c BT}{hline 68}
    diff = mean({res}No info{txt}) - mean({res}Info{txt})                             t = {res}  0.8428
{txt}Ho: diff = 0                                     degrees of freedom = {res}     374

    {txt}Ha: diff < 0                 Ha: diff != 0                 Ha: diff > 0
 Pr(T < t) = {res}0.8001         {txt}Pr(|T| > |t|) = {res}0.3999          {txt}Pr(T > t) = {res}0.1999

{txt}Two-sample t test with equal variances
{hline 9}{c TT}{hline 68}
   Group{col 10}{c |}{col 16}Obs{col 27}Mean{col 35}Std. Err.{col 47}Std. Dev.{col 59}[95% Conf. Interval]
{hline 9}{c +}{hline 68}
No inter {c |}{res}{col 12}    187{col 22} 6.812834{col 34} .3444379{col 46} 4.710118{col 58} 6.133327{col 70} 7.492341
{txt}Interfac {c |}{res}{col 12}    189{col 22} 6.301587{col 34}  .320498{col 46} 4.406119{col 58} 5.669353{col 70} 6.933822
{txt}{hline 9}{c +}{hline 68}
combined {c |}{res}{col 12}    376{col 22} 6.555851{col 34} .2352127{col 46} 4.560944{col 58}  6.09335{col 70} 7.018352
{txt}{hline 9}{c +}{hline 68}
    diff {c |}{res}{col 22} .5112469{col 34} .4703182{col 58}-.4135525{col 70} 1.436046
{txt}{hline 9}{c BT}{hline 68}
    diff = mean({res}No inter{txt}) - mean({res}Interfac{txt})                        t = {res}  1.0870
{txt}Ho: diff = 0                                     degrees of freedom = {res}     374

    {txt}Ha: diff < 0                 Ha: diff != 0                 Ha: diff > 0
 Pr(T < t) = {res}0.8611         {txt}Pr(|T| > |t|) = {res}0.2777          {txt}Pr(T > t) = {res}0.1389

{txt}Two-sample t test with equal variances
{hline 9}{c TT}{hline 68}
   Group{col 10}{c |}{col 16}Obs{col 27}Mean{col 35}Std. Err.{col 47}Std. Dev.{col 59}[95% Conf. Interval]
{hline 9}{c +}{hline 68}
 Control {c |}{res}{col 12}     95{col 22} .1473684{col 34} .0365611{col 46} .3563533{col 58} .0747755{col 70} .2199613
    {txt}Full {c |}{res}{col 12}     92{col 22} .1413043{col 34} .0365155{col 46} .3502439{col 58} .0687709{col 70} .2138378
{txt}{hline 9}{c +}{hline 68}
combined {c |}{res}{col 12}    187{col 22}  .144385{col 34} .0257717{col 46} .3524233{col 58} .0935425{col 70} .1952275
{txt}{hline 9}{c +}{hline 68}
    diff {c |}{res}{col 22} .0060641{col 34} .0516873{col 58}-.0959083{col 70} .1080365
{txt}{hline 9}{c BT}{hline 68}
    diff = mean({res}Control{txt}) - mean({res}Full{txt})                             t = {res}  0.1173
{txt}Ho: diff = 0                                     degrees of freedom = {res}     185

    {txt}Ha: diff < 0                 Ha: diff != 0                 Ha: diff > 0
 Pr(T < t) = {res}0.5466         {txt}Pr(|T| > |t|) = {res}0.9067          {txt}Pr(T > t) = {res}0.4534

{txt}Two-sample t test with equal variances
{hline 9}{c TT}{hline 68}
   Group{col 10}{c |}{col 16}Obs{col 27}Mean{col 35}Std. Err.{col 47}Std. Dev.{col 59}[95% Conf. Interval]
{hline 9}{c +}{hline 68}
 No info {c |}{res}{col 12}    192{col 22}  .140625{col 34} .0251539{col 46} .3485432{col 58} .0910098{col 70} .1902402
    {txt}Info {c |}{res}{col 12}    184{col 22} .1304348{col 34} .0248956{col 46} .3377001{col 58} .0813155{col 70} .1795541
{txt}{hline 9}{c +}{hline 68}
combined {c |}{res}{col 12}    376{col 22} .1356383{col 34} .0176817{col 46} .3428603{col 58} .1008706{col 70} .1704059
{txt}{hline 9}{c +}{hline 68}
    diff {c |}{res}{col 22} .0101902{col 34} .0354147{col 58}-.0594466{col 70} .0798271
{txt}{hline 9}{c BT}{hline 68}
    diff = mean({res}No info{txt}) - mean({res}Info{txt})                             t = {res}  0.2877
{txt}Ho: diff = 0                                     degrees of freedom = {res}     374

    {txt}Ha: diff < 0                 Ha: diff != 0                 Ha: diff > 0
 Pr(T < t) = {res}0.6131         {txt}Pr(|T| > |t|) = {res}0.7737          {txt}Pr(T > t) = {res}0.3869

{txt}Two-sample t test with equal variances
{hline 9}{c TT}{hline 68}
   Group{col 10}{c |}{col 16}Obs{col 27}Mean{col 35}Std. Err.{col 47}Std. Dev.{col 59}[95% Conf. Interval]
{hline 9}{c +}{hline 68}
No inter {c |}{res}{col 12}    187{col 22} .1336898{col 34} .0249534{col 46} .3412324{col 58} .0844618{col 70} .1829179
{txt}Interfac {c |}{res}{col 12}    189{col 22} .1375661{col 34} .0251212{col 46} .3453589{col 58} .0880106{col 70} .1871217
{txt}{hline 9}{c +}{hline 68}
combined {c |}{res}{col 12}    376{col 22} .1356383{col 34} .0176817{col 46} .3428603{col 58} .1008706{col 70} .1704059
{txt}{hline 9}{c +}{hline 68}
    diff {c |}{res}{col 22}-.0038763{col 34} .0354105{col 58} -.073505{col 70} .0657524
{txt}{hline 9}{c BT}{hline 68}
    diff = mean({res}No inter{txt}) - mean({res}Interfac{txt})                        t = {res} -0.1095
{txt}Ho: diff = 0                                     degrees of freedom = {res}     374

    {txt}Ha: diff < 0                 Ha: diff != 0                 Ha: diff > 0
 Pr(T < t) = {res}0.4564         {txt}Pr(|T| > |t|) = {res}0.9129          {txt}Pr(T > t) = {res}0.5436

{txt}Two-sample t test with equal variances
{hline 9}{c TT}{hline 68}
   Group{col 10}{c |}{col 16}Obs{col 27}Mean{col 35}Std. Err.{col 47}Std. Dev.{col 59}[95% Conf. Interval]
{hline 9}{c +}{hline 68}
 Control {c |}{res}{col 12}     95{col 22} .7473684{col 34} .0448175{col 46} .4368266{col 58} .6583823{col 70} .8363545
    {txt}Full {c |}{res}{col 12}     92{col 22}      .75{col 34} .0453921{col 46} .4353854{col 58} .6598342{col 70} .8401658
{txt}{hline 9}{c +}{hline 68}
combined {c |}{res}{col 12}    187{col 22} .7486631{col 34} .0318064{col 46} .4349463{col 58} .6859154{col 70} .8114108
{txt}{hline 9}{c +}{hline 68}
    diff {c |}{res}{col 22}-.0026316{col 34} .0637925{col 58}-.1284858{col 70} .1232227
{txt}{hline 9}{c BT}{hline 68}
    diff = mean({res}Control{txt}) - mean({res}Full{txt})                             t = {res} -0.0413
{txt}Ho: diff = 0                                     degrees of freedom = {res}     185

    {txt}Ha: diff < 0                 Ha: diff != 0                 Ha: diff > 0
 Pr(T < t) = {res}0.4836         {txt}Pr(|T| > |t|) = {res}0.9671          {txt}Pr(T > t) = {res}0.5164

{txt}Two-sample t test with equal variances
{hline 9}{c TT}{hline 68}
   Group{col 10}{c |}{col 16}Obs{col 27}Mean{col 35}Std. Err.{col 47}Std. Dev.{col 59}[95% Conf. Interval]
{hline 9}{c +}{hline 68}
 No info {c |}{res}{col 12}    192{col 22} .7291667{col 34} .0321549{col 46}  .445552{col 58} .6657423{col 70} .7925911
    {txt}Info {c |}{res}{col 12}    184{col 22} .7119565{col 34} .0334757{col 46} .4540871{col 58} .6459085{col 70} .7780046
{txt}{hline 9}{c +}{hline 68}
combined {c |}{res}{col 12}    376{col 22} .7207447{col 34} .0231673{col 46}  .449231{col 58} .6751905{col 70} .7662988
{txt}{hline 9}{c +}{hline 68}
    diff {c |}{res}{col 22} .0172101{col 34} .0463985{col 58}-.0740245{col 70} .1084448
{txt}{hline 9}{c BT}{hline 68}
    diff = mean({res}No info{txt}) - mean({res}Info{txt})                             t = {res}  0.3709
{txt}Ho: diff = 0                                     degrees of freedom = {res}     374

    {txt}Ha: diff < 0                 Ha: diff != 0                 Ha: diff > 0
 Pr(T < t) = {res}0.6445         {txt}Pr(|T| > |t|) = {res}0.7109          {txt}Pr(T > t) = {res}0.3555

{txt}Two-sample t test with equal variances
{hline 9}{c TT}{hline 68}
   Group{col 10}{c |}{col 16}Obs{col 27}Mean{col 35}Std. Err.{col 47}Std. Dev.{col 59}[95% Conf. Interval]
{hline 9}{c +}{hline 68}
No inter {c |}{res}{col 12}    187{col 22} .7112299{col 34} .0332296{col 46} .4544074{col 58} .6456747{col 70} .7767852
{txt}Interfac {c |}{res}{col 12}    189{col 22} .7301587{col 34} .0323731{col 46} .4450561{col 58} .6662976{col 70} .7940199
{txt}{hline 9}{c +}{hline 68}
combined {c |}{res}{col 12}    376{col 22} .7207447{col 34} .0231673{col 46}  .449231{col 58} .6751905{col 70} .7662988
{txt}{hline 9}{c +}{hline 68}
    diff {c |}{res}{col 22}-.0189288{col 34} .0463869{col 58}-.1101406{col 70}  .072283
{txt}{hline 9}{c BT}{hline 68}
    diff = mean({res}No inter{txt}) - mean({res}Interfac{txt})                        t = {res} -0.4081
{txt}Ho: diff = 0                                     degrees of freedom = {res}     374

    {txt}Ha: diff < 0                 Ha: diff != 0                 Ha: diff > 0
 Pr(T < t) = {res}0.3417         {txt}Pr(|T| > |t|) = {res}0.6835          {txt}Pr(T > t) = {res}0.6583

{txt}Two-sample t test with equal variances
{hline 9}{c TT}{hline 68}
   Group{col 10}{c |}{col 16}Obs{col 27}Mean{col 35}Std. Err.{col 47}Std. Dev.{col 59}[95% Conf. Interval]
{hline 9}{c +}{hline 68}
 Control {c |}{res}{col 12}     95{col 22} 4.085784{col 34} .2100376{col 46} 2.047193{col 58}  3.66875{col 70} 4.502819
    {txt}Full {c |}{res}{col 12}     92{col 22} 3.903145{col 34} .1626901{col 46} 1.560469{col 58} 3.579981{col 70} 4.226309
{txt}{hline 9}{c +}{hline 68}
combined {c |}{res}{col 12}    187{col 22}  3.99593{col 34} .1331993{col 46} 1.821472{col 58} 3.733154{col 70} 4.258705
{txt}{hline 9}{c +}{hline 68}
    diff {c |}{res}{col 22} .1826396{col 34} .2668142{col 58}-.3437502{col 70} .7090294
{txt}{hline 9}{c BT}{hline 68}
    diff = mean({res}Control{txt}) - mean({res}Full{txt})                             t = {res}  0.6845
{txt}Ho: diff = 0                                     degrees of freedom = {res}     185

    {txt}Ha: diff < 0                 Ha: diff != 0                 Ha: diff > 0
 Pr(T < t) = {res}0.7527         {txt}Pr(|T| > |t|) = {res}0.4945          {txt}Pr(T > t) = {res}0.2473

{txt}Two-sample t test with equal variances
{hline 9}{c TT}{hline 68}
   Group{col 10}{c |}{col 16}Obs{col 27}Mean{col 35}Std. Err.{col 47}Std. Dev.{col 59}[95% Conf. Interval]
{hline 9}{c +}{hline 68}
 No info {c |}{res}{col 12}    192{col 22} 4.027279{col 34} .1500845{col 46} 2.079631{col 58} 3.731243{col 70} 4.323315
    {txt}Info {c |}{res}{col 12}    184{col 22} 3.767465{col 34} .1163357{col 46} 1.578055{col 58} 3.537933{col 70} 3.996996
{txt}{hline 9}{c +}{hline 68}
combined {c |}{res}{col 12}    376{col 22} 3.900136{col 34} .0955799{col 46} 1.853364{col 58} 3.712196{col 70} 4.088076
{txt}{hline 9}{c +}{hline 68}
    diff {c |}{res}{col 22} .2598145{col 34} .1909867{col 58}-.1157278{col 70} .6353567
{txt}{hline 9}{c BT}{hline 68}
    diff = mean({res}No info{txt}) - mean({res}Info{txt})                             t = {res}  1.3604
{txt}Ho: diff = 0                                     degrees of freedom = {res}     374

    {txt}Ha: diff < 0                 Ha: diff != 0                 Ha: diff > 0
 Pr(T < t) = {res}0.9127         {txt}Pr(|T| > |t|) = {res}0.1745          {txt}Pr(T > t) = {res}0.0873

{txt}Two-sample t test with equal variances
{hline 9}{c TT}{hline 68}
   Group{col 10}{c |}{col 16}Obs{col 27}Mean{col 35}Std. Err.{col 47}Std. Dev.{col 59}[95% Conf. Interval]
{hline 9}{c +}{hline 68}
No inter {c |}{res}{col 12}    187{col 22} 3.862426{col 34} .1350452{col 46} 1.846715{col 58} 3.596009{col 70} 4.128843
{txt}Interfac {c |}{res}{col 12}    189{col 22} 3.937446{col 34} .1355911{col 46} 1.864069{col 58} 3.669971{col 70} 4.204922
{txt}{hline 9}{c +}{hline 68}
combined {c |}{res}{col 12}    376{col 22} 3.900136{col 34} .0955799{col 46} 1.853364{col 58} 3.712196{col 70} 4.088076
{txt}{hline 9}{c +}{hline 68}
    diff {c |}{res}{col 22}-.0750204{col 34} .1913787{col 58}-.4513334{col 70} .3012927
{txt}{hline 9}{c BT}{hline 68}
    diff = mean({res}No inter{txt}) - mean({res}Interfac{txt})                        t = {res} -0.3920
{txt}Ho: diff = 0                                     degrees of freedom = {res}     374

    {txt}Ha: diff < 0                 Ha: diff != 0                 Ha: diff > 0
 Pr(T < t) = {res}0.3476         {txt}Pr(|T| > |t|) = {res}0.6953          {txt}Pr(T > t) = {res}0.6524
{txt}
{com}.         
.         restore
{txt}
{com}.         
.         *********************************************
.         * C. Baseline levels of key outcome indices *
.         *********************************************
.         
.         * We need to compute the different rate unstandardized
.         
.         * Community Monitoring
.         
.         egen b_commtg=rowmean(b_lc1_meetings b_lc1_meetings_hc b_find_report b_find_effort)             
{txt}
{com}.         
.         * Citizen pressure
.         
.         egen b_ctzpressure=rowmean(b_h_wrong b_h_pressure b_h_hw_report)
{txt}
{com}.         
.         * Utilization rate
.         
.         egen b_urate=rowmean(b_immunization b_visit_hf b_hf_otherpract)
{txt}
{com}.         
.         * Treatment quality
.         
.         egen b_treatqual=rowmean(b_use_equip b_tot_wait b_trained b_exam_privacy b_taketest b_diagnosis_explained b_h_percentstaff_sv b_h_cleanliness b_h_meanstock)
{txt}
{com}.         
.         * Patient satisfaction
.         
.         egen b_patsat=rowmean(b_qualitycare b_politestaff b_interest_health b_stafflistening b_freeexpress b_yearb_avail)
{txt}
{com}.         
.         * Health outcomes (household level)
.         
.         egen b_healthout=rowmean(b_weight_18m b_weight_36m b_muac_18m b_muac_36m)               
{txt}(2608 missing values generated)

{com}.         
.         * Mortality rate
.         
.         gen b_mortrate= b_mortrate_05 * 1000
{txt}(33 missing values generated)

{com}.         
.         * We local variable
.         
.         local variable b_commtg b_ctzpressure b_urate b_treatqual b_patsat b_healthout b_mortrate
{txt}
{com}.         
.         local variable_mean
{txt}
{com}.         
.         foreach var of local variable{c -(}
{txt}  2{com}.                 
.         * We compute the mean at HC level
.         
.         byso hc_id : egen `var'_mean = mean(`var')
{txt}  3{com}.         
.         local variable_mean `variable_mean' `var'_mean
{txt}  4{com}.         
.         {c )-}
{txt}
{com}. 
.         * We keep the right variable
.         
.         preserve
{txt}
{com}.         
.         keep hc_id treatment treatfull treatinter treatinfo uniquehc `variable_mean'
{txt}
{com}.         
.         foreach var of local variable_mean {c -(}
{txt}  2{com}.         
.         * Treatment group
.         
.         qui sum `var' if treatment == 1 & uniquehc == 1
{txt}  3{com}.         
.         local mean_t_`var' = string(`r(mean)',"%9.2fc")
{txt}  4{com}.         
.         * Info group
.         
.         qui sum `var' if treatment == 2 & uniquehc == 1
{txt}  5{com}.         
.         local mean_inf_`var' = string(`r(mean)',"%9.2fc")
{txt}  6{com}.                 
.         * Inter group
.         
.         qui sum `var' if treatment == 3 & uniquehc == 1
{txt}  7{com}.         
.         local mean_int_`var' = string(`r(mean)',"%9.2fc")
{txt}  8{com}.                 
.         * Control group
.         
.         qui sum `var' if treatment == 4 & uniquehc == 1
{txt}  9{com}.         
.         local mean_c_`var' = string(`r(mean)',"%9.2fc")
{txt} 10{com}.         
.         * Difference Treatment - Control
.         
.         ttest `var' if uniquehc == 1, by(treatfull)
{txt} 11{com}.         
.         local m_diff_tc_`var' = `r(mu_1)' - `r(mu_2)'
{txt} 12{com}.         
.         local p_diff_tc_`var' = (2 * ttail(`r(df_t)', abs(`m_diff_tc_`var''/`r(se)')))
{txt} 13{com}.         
.         local p_diff_tc_`var' = string(`p_diff_tc_`var'',"%9.2fc")
{txt} 14{com}.         
.         * Difference Info - no Info
.         
.         ttest `var' if uniquehc == 1, by(treatinfo)
{txt} 15{com}.         
.         local m_diff_info_`var' = `r(mu_1)' - `r(mu_2)'
{txt} 16{com}.         
.         local p_diff_info_`var' = (2 * ttail(`r(df_t)', abs(`m_diff_info_`var''/`r(se)')))
{txt} 17{com}.         
.         local p_diff_info_`var' = string(`p_diff_info_`var'',"%9.2fc")
{txt} 18{com}.         
.         * Difference Inter - no Inter
.         
.         ttest `var' if uniquehc == 1, by(treatinter)
{txt} 19{com}.         
.         local m_diff_inter_`var' = `r(mu_1)' - `r(mu_2)'
{txt} 20{com}.         
.         local p_diff_inter_`var' = (2 * ttail(`r(df_t)', abs(`m_diff_inter_`var''/`r(se)')))
{txt} 21{com}.         
.         local p_diff_inter_`var' = string(`p_diff_inter_`var'',"%9.2fc")
{txt} 22{com}.         
.         {c )-}

{txt}Two-sample t test with equal variances
{hline 9}{c TT}{hline 68}
   Group{col 10}{c |}{col 16}Obs{col 27}Mean{col 35}Std. Err.{col 47}Std. Dev.{col 59}[95% Conf. Interval]
{hline 9}{c +}{hline 68}
 Control {c |}{res}{col 12}     95{col 22} .7681161{col 34} .0109266{col 46} .1064991{col 58} .7464212{col 70} .7898111
    {txt}Full {c |}{res}{col 12}     92{col 22}  .785015{col 34} .0085899{col 46} .0823917{col 58} .7679522{col 70} .8020779
{txt}{hline 9}{c +}{hline 68}
combined {c |}{res}{col 12}    187{col 22}   .77643{col 34} .0069855{col 46} .0955247{col 58} .7626491{col 70}  .790211
{txt}{hline 9}{c +}{hline 68}
    diff {c |}{res}{col 22}-.0168989{col 34} .0139552{col 58}-.0444307{col 70}  .010633
{txt}{hline 9}{c BT}{hline 68}
    diff = mean({res}Control{txt}) - mean({res}Full{txt})                             t = {res} -1.2109
{txt}Ho: diff = 0                                     degrees of freedom = {res}     185

    {txt}Ha: diff < 0                 Ha: diff != 0                 Ha: diff > 0
 Pr(T < t) = {res}0.1137         {txt}Pr(|T| > |t|) = {res}0.2275          {txt}Pr(T > t) = {res}0.8863

{txt}Two-sample t test with equal variances
{hline 9}{c TT}{hline 68}
   Group{col 10}{c |}{col 16}Obs{col 27}Mean{col 35}Std. Err.{col 47}Std. Dev.{col 59}[95% Conf. Interval]
{hline 9}{c +}{hline 68}
 No info {c |}{res}{col 12}    192{col 22} .7742261{col 34} .0071334{col 46}  .098843{col 58} .7601557{col 70} .7882964
    {txt}Info {c |}{res}{col 12}    184{col 22} .7750427{col 34} .0064661{col 46} .0877108{col 58}  .762285{col 70} .7878005
{txt}{hline 9}{c +}{hline 68}
combined {c |}{res}{col 12}    376{col 22} .7746257{col 34} .0048187{col 46} .0934377{col 58} .7651507{col 70} .7841007
{txt}{hline 9}{c +}{hline 68}
    diff {c |}{res}{col 22}-.0008167{col 34} .0096523{col 58}-.0197963{col 70} .0181629
{txt}{hline 9}{c BT}{hline 68}
    diff = mean({res}No info{txt}) - mean({res}Info{txt})                             t = {res} -0.0846
{txt}Ho: diff = 0                                     degrees of freedom = {res}     374

    {txt}Ha: diff < 0                 Ha: diff != 0                 Ha: diff > 0
 Pr(T < t) = {res}0.4663         {txt}Pr(|T| > |t|) = {res}0.9326          {txt}Pr(T > t) = {res}0.5337

{txt}Two-sample t test with equal variances
{hline 9}{c TT}{hline 68}
   Group{col 10}{c |}{col 16}Obs{col 27}Mean{col 35}Std. Err.{col 47}Std. Dev.{col 59}[95% Conf. Interval]
{hline 9}{c +}{hline 68}
No inter {c |}{res}{col 12}    187{col 22} .7666177{col 34} .0072701{col 46} .0994176{col 58} .7522752{col 70} .7809603
{txt}Interfac {c |}{res}{col 12}    189{col 22} .7825489{col 34} .0063032{col 46} .0866553{col 58} .7701148{col 70} .7949831
{txt}{hline 9}{c +}{hline 68}
combined {c |}{res}{col 12}    376{col 22} .7746257{col 34} .0048187{col 46} .0934377{col 58} .7651507{col 70} .7841007
{txt}{hline 9}{c +}{hline 68}
    diff {c |}{res}{col 22}-.0159312{col 34} .0096151{col 58}-.0348377{col 70} .0029753
{txt}{hline 9}{c BT}{hline 68}
    diff = mean({res}No inter{txt}) - mean({res}Interfac{txt})                        t = {res} -1.6569
{txt}Ho: diff = 0                                     degrees of freedom = {res}     374

    {txt}Ha: diff < 0                 Ha: diff != 0                 Ha: diff > 0
 Pr(T < t) = {res}0.0492         {txt}Pr(|T| > |t|) = {res}0.0984          {txt}Pr(T > t) = {res}0.9508

{txt}Two-sample t test with equal variances
{hline 9}{c TT}{hline 68}
   Group{col 10}{c |}{col 16}Obs{col 27}Mean{col 35}Std. Err.{col 47}Std. Dev.{col 59}[95% Conf. Interval]
{hline 9}{c +}{hline 68}
 Control {c |}{res}{col 12}     95{col 22} .6552412{col 34} .0351321{col 46} .3424253{col 58} .5854856{col 70} .7249968
    {txt}Full {c |}{res}{col 12}     92{col 22} .6847308{col 34} .0332847{col 46} .3192553{col 58} .6186149{col 70} .7508468
{txt}{hline 9}{c +}{hline 68}
combined {c |}{res}{col 12}    187{col 22} .6697495{col 34}  .024181{col 46} .3306698{col 58} .6220453{col 70} .7174537
{txt}{hline 9}{c +}{hline 68}
    diff {c |}{res}{col 22}-.0294896{col 34} .0484502{col 58}-.1250756{col 70} .0660964
{txt}{hline 9}{c BT}{hline 68}
    diff = mean({res}Control{txt}) - mean({res}Full{txt})                             t = {res} -0.6087
{txt}Ho: diff = 0                                     degrees of freedom = {res}     185

    {txt}Ha: diff < 0                 Ha: diff != 0                 Ha: diff > 0
 Pr(T < t) = {res}0.2717         {txt}Pr(|T| > |t|) = {res}0.5435          {txt}Pr(T > t) = {res}0.7283

{txt}Two-sample t test with equal variances
{hline 9}{c TT}{hline 68}
   Group{col 10}{c |}{col 16}Obs{col 27}Mean{col 35}Std. Err.{col 47}Std. Dev.{col 59}[95% Conf. Interval]
{hline 9}{c +}{hline 68}
 No info {c |}{res}{col 12}    192{col 22} .6913954{col 34} .0240879{col 46} .3337717{col 58} .6438829{col 70} .7389079
    {txt}Info {c |}{res}{col 12}    184{col 22} .7037785{col 34} .0228129{col 46} .3094496{col 58} .6587683{col 70} .7487886
{txt}{hline 9}{c +}{hline 68}
combined {c |}{res}{col 12}    376{col 22} .6974552{col 34}  .016592{col 46} .3217303{col 58} .6648302{col 70} .7300802
{txt}{hline 9}{c +}{hline 68}
    diff {c |}{res}{col 22}-.0123831{col 34} .0332296{col 58}-.0777234{col 70} .0529573
{txt}{hline 9}{c BT}{hline 68}
    diff = mean({res}No info{txt}) - mean({res}Info{txt})                             t = {res} -0.3727
{txt}Ho: diff = 0                                     degrees of freedom = {res}     374

    {txt}Ha: diff < 0                 Ha: diff != 0                 Ha: diff > 0
 Pr(T < t) = {res}0.3548         {txt}Pr(|T| > |t|) = {res}0.7096          {txt}Pr(T > t) = {res}0.6452

{txt}Two-sample t test with equal variances
{hline 9}{c TT}{hline 68}
   Group{col 10}{c |}{col 16}Obs{col 27}Mean{col 35}Std. Err.{col 47}Std. Dev.{col 59}[95% Conf. Interval]
{hline 9}{c +}{hline 68}
No inter {c |}{res}{col 12}    187{col 22} .6884915{col 34} .0236276{col 46} .3231026{col 58}  .641879{col 70} .7351041
{txt}Interfac {c |}{res}{col 12}    189{col 22}  .706324{col 34} .0233477{col 46} .3209773{col 58} .6602669{col 70} .7523811
{txt}{hline 9}{c +}{hline 68}
combined {c |}{res}{col 12}    376{col 22} .6974552{col 34}  .016592{col 46} .3217303{col 58} .6648302{col 70} .7300802
{txt}{hline 9}{c +}{hline 68}
    diff {c |}{res}{col 22}-.0178325{col 34}  .033216{col 58}-.0831459{col 70}  .047481
{txt}{hline 9}{c BT}{hline 68}
    diff = mean({res}No inter{txt}) - mean({res}Interfac{txt})                        t = {res} -0.5369
{txt}Ho: diff = 0                                     degrees of freedom = {res}     374

    {txt}Ha: diff < 0                 Ha: diff != 0                 Ha: diff > 0
 Pr(T < t) = {res}0.2958         {txt}Pr(|T| > |t|) = {res}0.5917          {txt}Pr(T > t) = {res}0.7042

{txt}Two-sample t test with equal variances
{hline 9}{c TT}{hline 68}
   Group{col 10}{c |}{col 16}Obs{col 27}Mean{col 35}Std. Err.{col 47}Std. Dev.{col 59}[95% Conf. Interval]
{hline 9}{c +}{hline 68}
 Control {c |}{res}{col 12}     95{col 22} 5.432941{col 34}  .164753{col 46} 1.605814{col 58}  5.10582{col 70} 5.760062
    {txt}Full {c |}{res}{col 12}     92{col 22} 5.237127{col 34}   .17188{col 46} 1.648615{col 58} 4.895709{col 70} 5.578546
{txt}{hline 9}{c +}{hline 68}
combined {c |}{res}{col 12}    187{col 22} 5.336605{col 34} .1188753{col 46} 1.625595{col 58} 5.102088{col 70} 5.571122
{txt}{hline 9}{c +}{hline 68}
    diff {c |}{res}{col 22} .1958138{col 34} .2379879{col 58}-.2737053{col 70} .6653329
{txt}{hline 9}{c BT}{hline 68}
    diff = mean({res}Control{txt}) - mean({res}Full{txt})                             t = {res}  0.8228
{txt}Ho: diff = 0                                     degrees of freedom = {res}     185

    {txt}Ha: diff < 0                 Ha: diff != 0                 Ha: diff > 0
 Pr(T < t) = {res}0.7942         {txt}Pr(|T| > |t|) = {res}0.4117          {txt}Pr(T > t) = {res}0.2058

{txt}Two-sample t test with equal variances
{hline 9}{c TT}{hline 68}
   Group{col 10}{c |}{col 16}Obs{col 27}Mean{col 35}Std. Err.{col 47}Std. Dev.{col 59}[95% Conf. Interval]
{hline 9}{c +}{hline 68}
 No info {c |}{res}{col 12}    192{col 22} 5.478525{col 34} .1124263{col 46} 1.557824{col 58} 5.256768{col 70} 5.700281
    {txt}Info {c |}{res}{col 12}    184{col 22} 5.255659{col 34} .1169929{col 46} 1.586968{col 58}  5.02483{col 70} 5.486487
{txt}{hline 9}{c +}{hline 68}
combined {c |}{res}{col 12}    376{col 22} 5.369463{col 34} .0811735{col 46} 1.574013{col 58}  5.20985{col 70} 5.529075
{txt}{hline 9}{c +}{hline 68}
    diff {c |}{res}{col 22} .2228662{col 34} .1621918{col 58} -.096056{col 70} .5417883
{txt}{hline 9}{c BT}{hline 68}
    diff = mean({res}No info{txt}) - mean({res}Info{txt})                             t = {res}  1.3741
{txt}Ho: diff = 0                                     degrees of freedom = {res}     374

    {txt}Ha: diff < 0                 Ha: diff != 0                 Ha: diff > 0
 Pr(T < t) = {res}0.9149         {txt}Pr(|T| > |t|) = {res}0.1702          {txt}Pr(T > t) = {res}0.0851

{txt}Two-sample t test with equal variances
{hline 9}{c TT}{hline 68}
   Group{col 10}{c |}{col 16}Obs{col 27}Mean{col 35}Std. Err.{col 47}Std. Dev.{col 59}[95% Conf. Interval]
{hline 9}{c +}{hline 68}
No inter {c |}{res}{col 12}    187{col 22} 5.354839{col 34} .1146322{col 46} 1.567572{col 58} 5.128693{col 70} 5.580986
{txt}Interfac {c |}{res}{col 12}    189{col 22} 5.383932{col 34} .1152473{col 46} 1.584389{col 58} 5.156588{col 70} 5.611276
{txt}{hline 9}{c +}{hline 68}
combined {c |}{res}{col 12}    376{col 22} 5.369463{col 34} .0811735{col 46} 1.574013{col 58}  5.20985{col 70} 5.529075
{txt}{hline 9}{c +}{hline 68}
    diff {c |}{res}{col 22}-.0290926{col 34} .1625592{col 58}-.3487373{col 70}  .290552
{txt}{hline 9}{c BT}{hline 68}
    diff = mean({res}No inter{txt}) - mean({res}Interfac{txt})                        t = {res} -0.1790
{txt}Ho: diff = 0                                     degrees of freedom = {res}     374

    {txt}Ha: diff < 0                 Ha: diff != 0                 Ha: diff > 0
 Pr(T < t) = {res}0.4290         {txt}Pr(|T| > |t|) = {res}0.8581          {txt}Pr(T > t) = {res}0.5710

{txt}Two-sample t test with equal variances
{hline 9}{c TT}{hline 68}
   Group{col 10}{c |}{col 16}Obs{col 27}Mean{col 35}Std. Err.{col 47}Std. Dev.{col 59}[95% Conf. Interval]
{hline 9}{c +}{hline 68}
 Control {c |}{res}{col 12}     95{col 22} 11.92895{col 34} .3623986{col 46} 3.532224{col 58}  11.2094{col 70}  12.6485
    {txt}Full {c |}{res}{col 12}     92{col 22}   12.235{col 34} .4410457{col 46} 4.230362{col 58} 11.35891{col 70} 13.11108
{txt}{hline 9}{c +}{hline 68}
combined {c |}{res}{col 12}    187{col 22} 12.07952{col 34} .2840169{col 46} 3.883873{col 58} 11.51921{col 70} 12.63983
{txt}{hline 9}{c +}{hline 68}
    diff {c |}{res}{col 22}-.3060458{col 34} .5691957{col 58}-1.428995{col 70} .8169034
{txt}{hline 9}{c BT}{hline 68}
    diff = mean({res}Control{txt}) - mean({res}Full{txt})                             t = {res} -0.5377
{txt}Ho: diff = 0                                     degrees of freedom = {res}     185

    {txt}Ha: diff < 0                 Ha: diff != 0                 Ha: diff > 0
 Pr(T < t) = {res}0.2957         {txt}Pr(|T| > |t|) = {res}0.5914          {txt}Pr(T > t) = {res}0.7043

{txt}Two-sample t test with equal variances
{hline 9}{c TT}{hline 68}
   Group{col 10}{c |}{col 16}Obs{col 27}Mean{col 35}Std. Err.{col 47}Std. Dev.{col 59}[95% Conf. Interval]
{hline 9}{c +}{hline 68}
 No info {c |}{res}{col 12}    192{col 22} 12.02104{col 34} .2742246{col 46} 3.799768{col 58} 11.48014{col 70} 12.56194
    {txt}Info {c |}{res}{col 12}    184{col 22} 12.45601{col 34} .3021179{col 46} 4.098126{col 58} 11.85993{col 70} 13.05209
{txt}{hline 9}{c +}{hline 68}
combined {c |}{res}{col 12}    376{col 22}  12.2339{col 34} .2036702{col 46} 3.949311{col 58} 11.83342{col 70} 12.63438
{txt}{hline 9}{c +}{hline 68}
    diff {c |}{res}{col 22}-.4349708{col 34} .4073565{col 58}-1.235967{col 70} .3660253
{txt}{hline 9}{c BT}{hline 68}
    diff = mean({res}No info{txt}) - mean({res}Info{txt})                             t = {res} -1.0678
{txt}Ho: diff = 0                                     degrees of freedom = {res}     374

    {txt}Ha: diff < 0                 Ha: diff != 0                 Ha: diff > 0
 Pr(T < t) = {res}0.1432         {txt}Pr(|T| > |t|) = {res}0.2863          {txt}Pr(T > t) = {res}0.8568

{txt}Two-sample t test with equal variances
{hline 9}{c TT}{hline 68}
   Group{col 10}{c |}{col 16}Obs{col 27}Mean{col 35}Std. Err.{col 47}Std. Dev.{col 59}[95% Conf. Interval]
{hline 9}{c +}{hline 68}
No inter {c |}{res}{col 12}    187{col 22} 12.29699{col 34} .2752333{col 46} 3.763759{col 58} 11.75401{col 70} 12.83997
{txt}Interfac {c |}{res}{col 12}    189{col 22} 12.17148{col 34} .3006879{col 46} 4.133775{col 58} 11.57832{col 70} 12.76463
{txt}{hline 9}{c +}{hline 68}
combined {c |}{res}{col 12}    376{col 22}  12.2339{col 34} .2036702{col 46} 3.949311{col 58} 11.83342{col 70} 12.63438
{txt}{hline 9}{c +}{hline 68}
    diff {c |}{res}{col 22}  .125511{col 34} .4078387{col 58}-.6764334{col 70} .9274553
{txt}{hline 9}{c BT}{hline 68}
    diff = mean({res}No inter{txt}) - mean({res}Interfac{txt})                        t = {res}  0.3077
{txt}Ho: diff = 0                                     degrees of freedom = {res}     374

    {txt}Ha: diff < 0                 Ha: diff != 0                 Ha: diff > 0
 Pr(T < t) = {res}0.6208         {txt}Pr(|T| > |t|) = {res}0.7584          {txt}Pr(T > t) = {res}0.3792

{txt}Two-sample t test with equal variances
{hline 9}{c TT}{hline 68}
   Group{col 10}{c |}{col 16}Obs{col 27}Mean{col 35}Std. Err.{col 47}Std. Dev.{col 59}[95% Conf. Interval]
{hline 9}{c +}{hline 68}
 Control {c |}{res}{col 12}     95{col 22} .7846072{col 34} .0067676{col 46}  .065962{col 58} .7711701{col 70} .7980444
    {txt}Full {c |}{res}{col 12}     92{col 22} .7791618{col 34} .0080769{col 46} .0774706{col 58} .7631181{col 70} .7952055
{txt}{hline 9}{c +}{hline 68}
combined {c |}{res}{col 12}    187{col 22} .7819282{col 34} .0052441{col 46} .0717122{col 58} .7715826{col 70} .7922738
{txt}{hline 9}{c +}{hline 68}
    diff {c |}{res}{col 22} .0054454{col 34} .0105103{col 58}  -.01529{col 70} .0261808
{txt}{hline 9}{c BT}{hline 68}
    diff = mean({res}Control{txt}) - mean({res}Full{txt})                             t = {res}  0.5181
{txt}Ho: diff = 0                                     degrees of freedom = {res}     185

    {txt}Ha: diff < 0                 Ha: diff != 0                 Ha: diff > 0
 Pr(T < t) = {res}0.6975         {txt}Pr(|T| > |t|) = {res}0.6050          {txt}Pr(T > t) = {res}0.3025

{txt}Two-sample t test with equal variances
{hline 9}{c TT}{hline 68}
   Group{col 10}{c |}{col 16}Obs{col 27}Mean{col 35}Std. Err.{col 47}Std. Dev.{col 59}[95% Conf. Interval]
{hline 9}{c +}{hline 68}
 No info {c |}{res}{col 12}    192{col 22} .7823388{col 34} .0052949{col 46} .0733681{col 58} .7718948{col 70} .7927827
    {txt}Info {c |}{res}{col 12}    184{col 22} .7841457{col 34} .0056815{col 46} .0770672{col 58} .7729361{col 70} .7953553
{txt}{hline 9}{c +}{hline 68}
combined {c |}{res}{col 12}    376{col 22}  .783223{col 34} .0038733{col 46} .0751059{col 58} .7756069{col 70} .7908391
{txt}{hline 9}{c +}{hline 68}
    diff {c |}{res}{col 22}-.0018069{col 34} .0077581{col 58}-.0170619{col 70} .0134481
{txt}{hline 9}{c BT}{hline 68}
    diff = mean({res}No info{txt}) - mean({res}Info{txt})                             t = {res} -0.2329
{txt}Ho: diff = 0                                     degrees of freedom = {res}     374

    {txt}Ha: diff < 0                 Ha: diff != 0                 Ha: diff > 0
 Pr(T < t) = {res}0.4080         {txt}Pr(|T| > |t|) = {res}0.8160          {txt}Pr(T > t) = {res}0.5920

{txt}Two-sample t test with equal variances
{hline 9}{c TT}{hline 68}
   Group{col 10}{c |}{col 16}Obs{col 27}Mean{col 35}Std. Err.{col 47}Std. Dev.{col 59}[95% Conf. Interval]
{hline 9}{c +}{hline 68}
No inter {c |}{res}{col 12}    187{col 22} .7868321{col 34} .0052155{col 46} .0713211{col 58}  .776543{col 70} .7971213
{txt}Interfac {c |}{res}{col 12}    189{col 22} .7796521{col 34} .0057245{col 46} .0786984{col 58} .7683596{col 70} .7909445
{txt}{hline 9}{c +}{hline 68}
combined {c |}{res}{col 12}    376{col 22}  .783223{col 34} .0038733{col 46} .0751059{col 58} .7756069{col 70} .7908391
{txt}{hline 9}{c +}{hline 68}
    diff {c |}{res}{col 22}   .00718{col 34} .0077482{col 58}-.0080554{col 70} .0224154
{txt}{hline 9}{c BT}{hline 68}
    diff = mean({res}No inter{txt}) - mean({res}Interfac{txt})                        t = {res}  0.9267
{txt}Ho: diff = 0                                     degrees of freedom = {res}     374

    {txt}Ha: diff < 0                 Ha: diff != 0                 Ha: diff > 0
 Pr(T < t) = {res}0.8227         {txt}Pr(|T| > |t|) = {res}0.3547          {txt}Pr(T > t) = {res}0.1773

{txt}Two-sample t test with equal variances
{hline 9}{c TT}{hline 68}
   Group{col 10}{c |}{col 16}Obs{col 27}Mean{col 35}Std. Err.{col 47}Std. Dev.{col 59}[95% Conf. Interval]
{hline 9}{c +}{hline 68}
 Control {c |}{res}{col 12}     95{col 22} 1.047372{col 34} .0192536{col 46} .1876612{col 58} 1.009143{col 70}   1.0856
    {txt}Full {c |}{res}{col 12}     92{col 22} 1.070143{col 34} .0173204{col 46} .1661315{col 58} 1.035738{col 70} 1.104548
{txt}{hline 9}{c +}{hline 68}
combined {c |}{res}{col 12}    187{col 22} 1.058575{col 34} .0129646{col 46} .1772881{col 58} 1.032998{col 70} 1.084151
{txt}{hline 9}{c +}{hline 68}
    diff {c |}{res}{col 22}-.0227715{col 34} .0259486{col 58}-.0739646{col 70} .0284217
{txt}{hline 9}{c BT}{hline 68}
    diff = mean({res}Control{txt}) - mean({res}Full{txt})                             t = {res} -0.8776
{txt}Ho: diff = 0                                     degrees of freedom = {res}     185

    {txt}Ha: diff < 0                 Ha: diff != 0                 Ha: diff > 0
 Pr(T < t) = {res}0.1907         {txt}Pr(|T| > |t|) = {res}0.3813          {txt}Pr(T > t) = {res}0.8093

{txt}Two-sample t test with equal variances
{hline 9}{c TT}{hline 68}
   Group{col 10}{c |}{col 16}Obs{col 27}Mean{col 35}Std. Err.{col 47}Std. Dev.{col 59}[95% Conf. Interval]
{hline 9}{c +}{hline 68}
 No info {c |}{res}{col 12}    192{col 22} 1.058191{col 34} .0148005{col 46} .2050811{col 58} 1.028997{col 70} 1.087384
    {txt}Info {c |}{res}{col 12}    184{col 22} 1.093199{col 34} .0151854{col 46} .2059844{col 58} 1.063238{col 70}  1.12316
{txt}{hline 9}{c +}{hline 68}
combined {c |}{res}{col 12}    376{col 22} 1.075322{col 34} .0106234{col 46}  .205996{col 58} 1.054433{col 70} 1.096211
{txt}{hline 9}{c +}{hline 68}
    diff {c |}{res}{col 22} -.035008{col 34} .0212029{col 58}-.0766999{col 70} .0066839
{txt}{hline 9}{c BT}{hline 68}
    diff = mean({res}No info{txt}) - mean({res}Info{txt})                             t = {res} -1.6511
{txt}Ho: diff = 0                                     degrees of freedom = {res}     374

    {txt}Ha: diff < 0                 Ha: diff != 0                 Ha: diff > 0
 Pr(T < t) = {res}0.0498         {txt}Pr(|T| > |t|) = {res}0.0996          {txt}Pr(T > t) = {res}0.9502

{txt}Two-sample t test with equal variances
{hline 9}{c TT}{hline 68}
   Group{col 10}{c |}{col 16}Obs{col 27}Mean{col 35}Std. Err.{col 47}Std. Dev.{col 59}[95% Conf. Interval]
{hline 9}{c +}{hline 68}
No inter {c |}{res}{col 12}    187{col 22} 1.081261{col 34}  .015804{col 46} .2161164{col 58} 1.050082{col 70} 1.112439
{txt}Interfac {c |}{res}{col 12}    189{col 22} 1.069447{col 34} .0142472{col 46} .1958668{col 58} 1.041342{col 70} 1.097552
{txt}{hline 9}{c +}{hline 68}
combined {c |}{res}{col 12}    376{col 22} 1.075322{col 34} .0106234{col 46}  .205996{col 58} 1.054433{col 70} 1.096211
{txt}{hline 9}{c +}{hline 68}
    diff {c |}{res}{col 22} .0118135{col 34} .0212668{col 58} -.030004{col 70} .0536309
{txt}{hline 9}{c BT}{hline 68}
    diff = mean({res}No inter{txt}) - mean({res}Interfac{txt})                        t = {res}  0.5555
{txt}Ho: diff = 0                                     degrees of freedom = {res}     374

    {txt}Ha: diff < 0                 Ha: diff != 0                 Ha: diff > 0
 Pr(T < t) = {res}0.7106         {txt}Pr(|T| > |t|) = {res}0.5789          {txt}Pr(T > t) = {res}0.2894

{txt}Two-sample t test with equal variances
{hline 9}{c TT}{hline 68}
   Group{col 10}{c |}{col 16}Obs{col 27}Mean{col 35}Std. Err.{col 47}Std. Dev.{col 59}[95% Conf. Interval]
{hline 9}{c +}{hline 68}
 Control {c |}{res}{col 12}     95{col 22} 39.39037{col 34} 5.733171{col 46} 55.88004{col 58} 28.00703{col 70} 50.77372
    {txt}Full {c |}{res}{col 12}     92{col 22}  50.3387{col 34} 7.805744{col 46} 74.87006{col 58} 34.83355{col 70} 65.84385
{txt}{hline 9}{c +}{hline 68}
combined {c |}{res}{col 12}    187{col 22} 44.77672{col 34} 4.823453{col 46} 65.95973{col 58} 35.26101{col 70} 54.29242
{txt}{hline 9}{c +}{hline 68}
    diff {c |}{res}{col 22}-10.94833{col 34} 9.640644{col 58}-29.96806{col 70} 8.071407
{txt}{hline 9}{c BT}{hline 68}
    diff = mean({res}Control{txt}) - mean({res}Full{txt})                             t = {res} -1.1356
{txt}Ho: diff = 0                                     degrees of freedom = {res}     185

    {txt}Ha: diff < 0                 Ha: diff != 0                 Ha: diff > 0
 Pr(T < t) = {res}0.1288         {txt}Pr(|T| > |t|) = {res}0.2576          {txt}Pr(T > t) = {res}0.8712

{txt}Two-sample t test with equal variances
{hline 9}{c TT}{hline 68}
   Group{col 10}{c |}{col 16}Obs{col 27}Mean{col 35}Std. Err.{col 47}Std. Dev.{col 59}[95% Conf. Interval]
{hline 9}{c +}{hline 68}
 No info {c |}{res}{col 12}    192{col 22} 40.40492{col 34} 4.147036{col 46} 57.46301{col 58} 32.22505{col 70} 48.58479
    {txt}Info {c |}{res}{col 12}    184{col 22} 50.29812{col 34} 5.119194{col 46} 69.44013{col 58} 40.19789{col 70} 60.39836
{txt}{hline 9}{c +}{hline 68}
combined {c |}{res}{col 12}    376{col 22} 45.24627{col 34} 3.285786{col 46} 63.71376{col 58}  38.7854{col 70} 51.70715
{txt}{hline 9}{c +}{hline 68}
    diff {c |}{res}{col 22}-9.893205{col 34} 6.561932{col 58}-22.79611{col 70} 3.009699
{txt}{hline 9}{c BT}{hline 68}
    diff = mean({res}No info{txt}) - mean({res}Info{txt})                             t = {res} -1.5077
{txt}Ho: diff = 0                                     degrees of freedom = {res}     374

    {txt}Ha: diff < 0                 Ha: diff != 0                 Ha: diff > 0
 Pr(T < t) = {res}0.0662         {txt}Pr(|T| > |t|) = {res}0.1325          {txt}Pr(T > t) = {res}0.9338

{txt}Two-sample t test with equal variances
{hline 9}{c TT}{hline 68}
   Group{col 10}{c |}{col 16}Obs{col 27}Mean{col 35}Std. Err.{col 47}Std. Dev.{col 59}[95% Conf. Interval]
{hline 9}{c +}{hline 68}
No inter {c |}{res}{col 12}    187{col 22} 44.73679{col 34} 4.393372{col 46} 60.07845{col 58} 36.06955{col 70} 53.40403
{txt}Interfac {c |}{res}{col 12}    189{col 22} 45.75037{col 34} 4.893445{col 46} 67.27375{col 58} 36.09725{col 70} 55.40348
{txt}{hline 9}{c +}{hline 68}
combined {c |}{res}{col 12}    376{col 22} 45.24627{col 34} 3.285786{col 46} 63.71376{col 58}  38.7854{col 70} 51.70715
{txt}{hline 9}{c +}{hline 68}
    diff {c |}{res}{col 22}-1.013578{col 34} 6.580236{col 58}-13.95248{col 70} 11.92532
{txt}{hline 9}{c BT}{hline 68}
    diff = mean({res}No inter{txt}) - mean({res}Interfac{txt})                        t = {res} -0.1540
{txt}Ho: diff = 0                                     degrees of freedom = {res}     374

    {txt}Ha: diff < 0                 Ha: diff != 0                 Ha: diff > 0
 Pr(T < t) = {res}0.4388         {txt}Pr(|T| > |t|) = {res}0.8777          {txt}Pr(T > t) = {res}0.5612
{txt}
{com}.         
.         restore
{txt}
{com}.         
.         * We calculate the child health outcome at child level. The reader should make sure he/she ran the do-file 8.1.
.         
.         preserve
{txt}
{com}.         
.         use "${c -(}usedata{c )-}/healthoutcome_endline_ind.dta", clear
{txt}
{com}.         
.         byso hc_id : egen b_healthoutcome_m = mean(b_healthoutcome)
{txt}
{com}.         
.         keep hc_id  b_healthoutcome_m
{txt}
{com}.         
.         duplicates drop

{p 0 4}{txt}Duplicates in terms of {txt} all variables{p_end}

(18,175 observations deleted)

{com}.         
.         tempfile individual_ho
{txt}
{com}.         sa "`individual_ho'"
{txt}file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.000005 saved

{com}.         
.         restore
{txt}
{com}.         
.         preserve
{txt}
{com}.         
.         merge m:1 hc_id using "`individual_ho'", nogen
{res}
{txt}{col 5}Result{col 38}# of obs.
{col 5}{hline 41}
{col 5}not matched{col 30}{res}               0
{txt}{col 5}matched{col 30}{res}          15,295{txt}  
{col 5}{hline 41}

{com}.         
.         * Health outcomes (child level)
.         
.         foreach var in b_healthoutcome_m {c -(}
{txt}  2{com}.         
.         * Treatment group
.         
.         qui sum `var' if treatment == 1 & uniquehc == 1
{txt}  3{com}.         
.         local mean_t_`var' = string(`r(mean)',"%9.2fc")
{txt}  4{com}.         
.         * Info group
.         
.         qui sum `var' if treatment == 2 & uniquehc == 1
{txt}  5{com}.         
.         local mean_inf_`var' = string(`r(mean)',"%9.2fc")
{txt}  6{com}.                 
.         * Inter group
.         
.         qui sum `var' if treatment == 3 & uniquehc == 1
{txt}  7{com}.         
.         local mean_int_`var' = string(`r(mean)',"%9.2fc")
{txt}  8{com}.                 
.         * Control group
.         
.         qui sum `var' if treatment == 4 & uniquehc == 1
{txt}  9{com}.         
.         local mean_c_`var' = string(`r(mean)',"%9.2fc")
{txt} 10{com}.         
.         * Difference Treatment - Control
.         
.         ttest `var' if uniquehc == 1, by(treatfull)
{txt} 11{com}.         
.         local m_diff_tc_`var' = `r(mu_1)' - `r(mu_2)'
{txt} 12{com}.         
.         local p_diff_tc_`var' = (2 * ttail(`r(df_t)', abs(`m_diff_tc_`var''/`r(se)')))
{txt} 13{com}.         
.         local p_diff_tc_`var' = string(`p_diff_tc_`var'',"%9.2fc")
{txt} 14{com}.         
.         * Difference Info - no Info
.         
.         ttest `var' if uniquehc == 1, by(treatinfo)
{txt} 15{com}.         
.         local m_diff_info_`var' = `r(mu_1)' - `r(mu_2)'
{txt} 16{com}.         
.         local p_diff_info_`var' = (2 * ttail(`r(df_t)', abs(`m_diff_info_`var''/`r(se)')))
{txt} 17{com}.         
.         local p_diff_info_`var' = string(`p_diff_info_`var'',"%9.2fc")
{txt} 18{com}.         
.         * Difference Inter - no Inter
.         
.         ttest `var' if uniquehc == 1, by(treatinter)
{txt} 19{com}.         
.         local m_diff_inter_`var' = `r(mu_1)' - `r(mu_2)'
{txt} 20{com}.         
.         local p_diff_inter_`var' = (2 * ttail(`r(df_t)', abs(`m_diff_inter_`var''/`r(se)')))
{txt} 21{com}.         
.         local p_diff_inter_`var' = string(`p_diff_inter_`var'',"%9.2fc")
{txt} 22{com}.         
.         {c )-}

{txt}Two-sample t test with equal variances
{hline 9}{c TT}{hline 68}
   Group{col 10}{c |}{col 16}Obs{col 27}Mean{col 35}Std. Err.{col 47}Std. Dev.{col 59}[95% Conf. Interval]
{hline 9}{c +}{hline 68}
 Control {c |}{res}{col 12}     95{col 22} 1.969358{col 34} .0570219{col 46} .5557806{col 58}  1.85614{col 70} 2.082577
    {txt}Full {c |}{res}{col 12}     92{col 22} 2.006273{col 34} .0452902{col 46} .4344086{col 58}  1.91631{col 70} 2.096237
{txt}{hline 9}{c +}{hline 68}
combined {c |}{res}{col 12}    187{col 22}  1.98752{col 34}  .036474{col 46} .4987739{col 58} 1.915564{col 70} 2.059476
{txt}{hline 9}{c +}{hline 68}
    diff {c |}{res}{col 22}-.0369149{col 34} .0731039{col 58}-.1811393{col 70} .1073095
{txt}{hline 9}{c BT}{hline 68}
    diff = mean({res}Control{txt}) - mean({res}Full{txt})                             t = {res} -0.5050
{txt}Ho: diff = 0                                     degrees of freedom = {res}     185

    {txt}Ha: diff < 0                 Ha: diff != 0                 Ha: diff > 0
 Pr(T < t) = {res}0.3071         {txt}Pr(|T| > |t|) = {res}0.6142          {txt}Pr(T > t) = {res}0.6929

{txt}Two-sample t test with equal variances
{hline 9}{c TT}{hline 68}
   Group{col 10}{c |}{col 16}Obs{col 27}Mean{col 35}Std. Err.{col 47}Std. Dev.{col 59}[95% Conf. Interval]
{hline 9}{c +}{hline 68}
 No info {c |}{res}{col 12}    192{col 22} 2.018137{col 34} .0413854{col 46} .5734535{col 58} 1.936506{col 70} 2.099768
    {txt}Info {c |}{res}{col 12}    184{col 22} 2.020843{col 34} .0381931{col 46} .5180769{col 58} 1.945487{col 70} 2.096198
{txt}{hline 9}{c +}{hline 68}
combined {c |}{res}{col 12}    376{col 22} 2.019461{col 34} .0281748{col 46} .5463301{col 58} 1.964061{col 70} 2.074862
{txt}{hline 9}{c +}{hline 68}
    diff {c |}{res}{col 22}-.0027057{col 34} .0564375{col 58}-.1136804{col 70} .1082689
{txt}{hline 9}{c BT}{hline 68}
    diff = mean({res}No info{txt}) - mean({res}Info{txt})                             t = {res} -0.0479
{txt}Ho: diff = 0                                     degrees of freedom = {res}     374

    {txt}Ha: diff < 0                 Ha: diff != 0                 Ha: diff > 0
 Pr(T < t) = {res}0.4809         {txt}Pr(|T| > |t|) = {res}0.9618          {txt}Pr(T > t) = {res}0.5191

{txt}Two-sample t test with equal variances
{hline 9}{c TT}{hline 68}
   Group{col 10}{c |}{col 16}Obs{col 27}Mean{col 35}Std. Err.{col 47}Std. Dev.{col 59}[95% Conf. Interval]
{hline 9}{c +}{hline 68}
No inter {c |}{res}{col 12}    187{col 22} 2.001855{col 34} .0419282{col 46} .5733598{col 58} 1.919139{col 70} 2.084571
{txt}Interfac {c |}{res}{col 12}    189{col 22}  2.03688{col 34}  .037762{col 46} .5191414{col 58} 1.962389{col 70} 2.111372
{txt}{hline 9}{c +}{hline 68}
combined {c |}{res}{col 12}    376{col 22} 2.019461{col 34} .0281748{col 46} .5463301{col 58} 1.964061{col 70} 2.074862
{txt}{hline 9}{c +}{hline 68}
    diff {c |}{res}{col 22} -.035025{col 34} .0563967{col 58}-.1459193{col 70} .0758693
{txt}{hline 9}{c BT}{hline 68}
    diff = mean({res}No inter{txt}) - mean({res}Interfac{txt})                        t = {res} -0.6210
{txt}Ho: diff = 0                                     degrees of freedom = {res}     374

    {txt}Ha: diff < 0                 Ha: diff != 0                 Ha: diff > 0
 Pr(T < t) = {res}0.2675         {txt}Pr(|T| > |t|) = {res}0.5349          {txt}Pr(T > t) = {res}0.7325
{txt}
{com}.         
.         restore
{txt}
{com}.         
.         ******************************************************
.         * D. Baseline levels of intermediate outcome indices *
.         ******************************************************
.         
.         * We need to compute the different rate unstandardized
.         
.         * Citizen knowledge
.         
.         egen b_ctzknow=rowmean(b_numrights_hh b_numresp_hh b_services_hh)               
{txt}
{com}.                 
.         * Healthcare provider knowledge
.         
.         egen b_h_hcpknow=rowmean(b_h_numrights b_h_numresp)     
{txt}
{com}.         
.         * Efficacy
.         
.         egen b_eff=rowmean(b_power b_pressure_effort b_pressure_report b_influence b_peoplesay_gov b_peoplesay_hc)
{txt}
{com}.         
.         * Community Responsibility
.         
.         egen b_commresp=rowmean(b_responsible b_commembers_resp)        
{txt}
{com}.         
.         * Relation HH/HC
.         
.         egen b_relhhhc=rowmean(b_sat_rel b_trust_hw b_h_satisfiedrel b_complain)
{txt}
{com}.         
.         * HC Transparency
.         
.         egen b_h_hctrans=rowmean(b_h_opening_posters b_h_dutyroster b_h_sugbox b_h_infoservice b_h_infoprights) 
{txt}
{com}.         
.         local variable b_ctzknow b_h_hcpknow b_eff b_commresp b_relhhhc b_h_hctrans
{txt}
{com}.         
.         local variable_mean
{txt}
{com}.         
.         foreach var of local variable{c -(}
{txt}  2{com}.                 
.         * We compute the mean at HC level
.         
.         byso hc_id : egen `var'_mean = mean(`var')
{txt}  3{com}.         
.         local variable_mean `variable_mean' `var'_mean
{txt}  4{com}.         
.         {c )-}
{txt}
{com}.         
.         * We keep the right variable
.         
.         preserve
{txt}
{com}.         
.         keep hc_id treatment treatfull treatinter treatinfo uniquehc `variable_mean'
{txt}
{com}.         
.         foreach var of local variable_mean {c -(}
{txt}  2{com}.         
.         * Treatment group
.         
.         qui sum `var' if treatment == 1 & uniquehc == 1
{txt}  3{com}.         
.         local mean_t_`var' = string(`r(mean)',"%9.2fc")
{txt}  4{com}.         
.         * Info group
.         
.         qui sum `var' if treatment == 2 & uniquehc == 1
{txt}  5{com}.         
.         local mean_inf_`var' = string(`r(mean)',"%9.2fc")
{txt}  6{com}.                 
.         * Inter group
.         
.         qui sum `var' if treatment == 3 & uniquehc == 1
{txt}  7{com}.         
.         local mean_int_`var' = string(`r(mean)',"%9.2fc")
{txt}  8{com}.                 
.         * Control group
.         
.         qui sum `var' if treatment == 4 & uniquehc == 1
{txt}  9{com}.         
.         local mean_c_`var' = string(`r(mean)',"%9.2fc")
{txt} 10{com}.         
.         * Difference Treatment - Control
.         
.         ttest `var' if uniquehc == 1, by(treatfull)
{txt} 11{com}.         
.         local m_diff_tc_`var' = `r(mu_1)' - `r(mu_2)'
{txt} 12{com}.         
.         local p_diff_tc_`var' = (2 * ttail(`r(df_t)', abs(`m_diff_tc_`var''/`r(se)')))
{txt} 13{com}.         
.         local p_diff_tc_`var' = string(`p_diff_tc_`var'',"%9.2fc")
{txt} 14{com}.         
.         * Difference Info - no Info
.         
.         ttest `var' if uniquehc == 1, by(treatinfo)
{txt} 15{com}.         
.         local m_diff_info_`var' = `r(mu_1)' - `r(mu_2)'
{txt} 16{com}.         
.         local p_diff_info_`var' = (2 * ttail(`r(df_t)', abs(`m_diff_info_`var''/`r(se)')))
{txt} 17{com}.         
.         local p_diff_info_`var' = string(`p_diff_info_`var'',"%9.2fc")
{txt} 18{com}.         
.         * Difference Inter - no Inter
.         
.         ttest `var' if uniquehc == 1, by(treatinter)
{txt} 19{com}.         
.         local m_diff_inter_`var' = `r(mu_1)' - `r(mu_2)'
{txt} 20{com}.         
.         local p_diff_inter_`var' = (2 * ttail(`r(df_t)', abs(`m_diff_inter_`var''/`r(se)')))
{txt} 21{com}.         
.         local p_diff_inter_`var' = string(`p_diff_inter_`var'',"%9.2fc")
{txt} 22{com}.         
.         {c )-}

{txt}Two-sample t test with equal variances
{hline 9}{c TT}{hline 68}
   Group{col 10}{c |}{col 16}Obs{col 27}Mean{col 35}Std. Err.{col 47}Std. Dev.{col 59}[95% Conf. Interval]
{hline 9}{c +}{hline 68}
 Control {c |}{res}{col 12}     95{col 22} .2029643{col 34} .0038401{col 46}  .037429{col 58} .1953397{col 70}  .210589
    {txt}Full {c |}{res}{col 12}     92{col 22} .1994935{col 34} .0042311{col 46} .0405834{col 58} .1910889{col 70} .2078981
{txt}{hline 9}{c +}{hline 68}
combined {c |}{res}{col 12}    187{col 22} .2012568{col 34}  .002848{col 46} .0389464{col 58} .1956381{col 70} .2068754
{txt}{hline 9}{c +}{hline 68}
    diff {c |}{res}{col 22} .0034708{col 34} .0057065{col 58}-.0077874{col 70}  .014729
{txt}{hline 9}{c BT}{hline 68}
    diff = mean({res}Control{txt}) - mean({res}Full{txt})                             t = {res}  0.6082
{txt}Ho: diff = 0                                     degrees of freedom = {res}     185

    {txt}Ha: diff < 0                 Ha: diff != 0                 Ha: diff > 0
 Pr(T < t) = {res}0.7281         {txt}Pr(|T| > |t|) = {res}0.5438          {txt}Pr(T > t) = {res}0.2719

{txt}Two-sample t test with equal variances
{hline 9}{c TT}{hline 68}
   Group{col 10}{c |}{col 16}Obs{col 27}Mean{col 35}Std. Err.{col 47}Std. Dev.{col 59}[95% Conf. Interval]
{hline 9}{c +}{hline 68}
 No info {c |}{res}{col 12}    192{col 22} .2044316{col 34} .0027315{col 46} .0378493{col 58} .1990438{col 70} .2098195
    {txt}Info {c |}{res}{col 12}    184{col 22} .1986182{col 34} .0028052{col 46} .0380516{col 58} .1930835{col 70} .2041529
{txt}{hline 9}{c +}{hline 68}
combined {c |}{res}{col 12}    376{col 22} .2015868{col 34} .0019602{col 46} .0380093{col 58} .1977324{col 70} .2054411
{txt}{hline 9}{c +}{hline 68}
    diff {c |}{res}{col 22} .0058135{col 34}  .003915{col 58}-.0018846{col 70} .0135116
{txt}{hline 9}{c BT}{hline 68}
    diff = mean({res}No info{txt}) - mean({res}Info{txt})                             t = {res}  1.4849
{txt}Ho: diff = 0                                     degrees of freedom = {res}     374

    {txt}Ha: diff < 0                 Ha: diff != 0                 Ha: diff > 0
 Pr(T < t) = {res}0.9308         {txt}Pr(|T| > |t|) = {res}0.1384          {txt}Pr(T > t) = {res}0.0692

{txt}Two-sample t test with equal variances
{hline 9}{c TT}{hline 68}
   Group{col 10}{c |}{col 16}Obs{col 27}Mean{col 35}Std. Err.{col 47}Std. Dev.{col 59}[95% Conf. Interval]
{hline 9}{c +}{hline 68}
No inter {c |}{res}{col 12}    187{col 22} .2003955{col 34} .0026698{col 46} .0365084{col 58} .1951286{col 70} .2056623
{txt}Interfac {c |}{res}{col 12}    189{col 22} .2027654{col 34} .0028732{col 46} .0394999{col 58} .1970976{col 70} .2084333
{txt}{hline 9}{c +}{hline 68}
combined {c |}{res}{col 12}    376{col 22} .2015868{col 34} .0019602{col 46} .0380093{col 58} .1977324{col 70} .2054411
{txt}{hline 9}{c +}{hline 68}
    diff {c |}{res}{col 22}  -.00237{col 34} .0039237{col 58}-.0100854{col 70} .0053454
{txt}{hline 9}{c BT}{hline 68}
    diff = mean({res}No inter{txt}) - mean({res}Interfac{txt})                        t = {res} -0.6040
{txt}Ho: diff = 0                                     degrees of freedom = {res}     374

    {txt}Ha: diff < 0                 Ha: diff != 0                 Ha: diff > 0
 Pr(T < t) = {res}0.2731         {txt}Pr(|T| > |t|) = {res}0.5462          {txt}Pr(T > t) = {res}0.7269

{txt}Two-sample t test with equal variances
{hline 9}{c TT}{hline 68}
   Group{col 10}{c |}{col 16}Obs{col 27}Mean{col 35}Std. Err.{col 47}Std. Dev.{col 59}[95% Conf. Interval]
{hline 9}{c +}{hline 68}
 Control {c |}{res}{col 12}     95{col 22} .4310526{col 34} .0160731{col 46} .1566608{col 58} .3991392{col 70} .4629661
    {txt}Full {c |}{res}{col 12}     92{col 22} .4493573{col 34} .0141473{col 46} .1356963{col 58} .4212554{col 70} .4774592
{txt}{hline 9}{c +}{hline 68}
combined {c |}{res}{col 12}    187{col 22} .4400582{col 34} .0107216{col 46} .1466158{col 58} .4189066{col 70} .4612098
{txt}{hline 9}{c +}{hline 68}
    diff {c |}{res}{col 22}-.0183047{col 34} .0214617{col 58}-.0606459{col 70} .0240365
{txt}{hline 9}{c BT}{hline 68}
    diff = mean({res}Control{txt}) - mean({res}Full{txt})                             t = {res} -0.8529
{txt}Ho: diff = 0                                     degrees of freedom = {res}     185

    {txt}Ha: diff < 0                 Ha: diff != 0                 Ha: diff > 0
 Pr(T < t) = {res}0.1974         {txt}Pr(|T| > |t|) = {res}0.3948          {txt}Pr(T > t) = {res}0.8026

{txt}Two-sample t test with equal variances
{hline 9}{c TT}{hline 68}
   Group{col 10}{c |}{col 16}Obs{col 27}Mean{col 35}Std. Err.{col 47}Std. Dev.{col 59}[95% Conf. Interval]
{hline 9}{c +}{hline 68}
 No info {c |}{res}{col 12}    192{col 22} .4258681{col 34} .0118586{col 46}  .164318{col 58} .4024774{col 70} .4492588
    {txt}Info {c |}{res}{col 12}    184{col 22} .4435192{col 34} .0100701{col 46} .1365981{col 58} .4236507{col 70} .4633878
{txt}{hline 9}{c +}{hline 68}
combined {c |}{res}{col 12}    376{col 22} .4345059{col 34} .0078102{col 46}  .151446{col 58} .4191485{col 70} .4498632
{txt}{hline 9}{c +}{hline 68}
    diff {c |}{res}{col 22}-.0176512{col 34} .0156182{col 58}-.0483617{col 70} .0130594
{txt}{hline 9}{c BT}{hline 68}
    diff = mean({res}No info{txt}) - mean({res}Info{txt})                             t = {res} -1.1302
{txt}Ho: diff = 0                                     degrees of freedom = {res}     374

    {txt}Ha: diff < 0                 Ha: diff != 0                 Ha: diff > 0
 Pr(T < t) = {res}0.1296         {txt}Pr(|T| > |t|) = {res}0.2591          {txt}Pr(T > t) = {res}0.8704

{txt}Two-sample t test with equal variances
{hline 9}{c TT}{hline 68}
   Group{col 10}{c |}{col 16}Obs{col 27}Mean{col 35}Std. Err.{col 47}Std. Dev.{col 59}[95% Conf. Interval]
{hline 9}{c +}{hline 68}
No inter {c |}{res}{col 12}    187{col 22} .4343137{col 34} .0107797{col 46} .1474107{col 58} .4130475{col 70}   .45558
{txt}Interfac {c |}{res}{col 12}    189{col 22}  .434696{col 34} .0113275{col 46} .1557271{col 58} .4123507{col 70} .4570413
{txt}{hline 9}{c +}{hline 68}
combined {c |}{res}{col 12}    376{col 22} .4345059{col 34} .0078102{col 46}  .151446{col 58} .4191485{col 70} .4498632
{txt}{hline 9}{c +}{hline 68}
    diff {c |}{res}{col 22}-.0003823{col 34} .0156415{col 58}-.0311386{col 70} .0303741
{txt}{hline 9}{c BT}{hline 68}
    diff = mean({res}No inter{txt}) - mean({res}Interfac{txt})                        t = {res} -0.0244
{txt}Ho: diff = 0                                     degrees of freedom = {res}     374

    {txt}Ha: diff < 0                 Ha: diff != 0                 Ha: diff > 0
 Pr(T < t) = {res}0.4903         {txt}Pr(|T| > |t|) = {res}0.9805          {txt}Pr(T > t) = {res}0.5097

{txt}Two-sample t test with equal variances
{hline 9}{c TT}{hline 68}
   Group{col 10}{c |}{col 16}Obs{col 27}Mean{col 35}Std. Err.{col 47}Std. Dev.{col 59}[95% Conf. Interval]
{hline 9}{c +}{hline 68}
 Control {c |}{res}{col 12}     95{col 22}  .594801{col 34}  .007047{col 46} .0686856{col 58}  .580809{col 70}  .608793
    {txt}Full {c |}{res}{col 12}     92{col 22} .5789535{col 34} .0070465{col 46} .0675876{col 58} .5649565{col 70} .5929505
{txt}{hline 9}{c +}{hline 68}
combined {c |}{res}{col 12}    187{col 22} .5870044{col 34} .0050039{col 46} .0684269{col 58} .5771327{col 70}  .596876
{txt}{hline 9}{c +}{hline 68}
    diff {c |}{res}{col 22} .0158475{col 34} .0099682{col 58}-.0038184{col 70} .0355134
{txt}{hline 9}{c BT}{hline 68}
    diff = mean({res}Control{txt}) - mean({res}Full{txt})                             t = {res}  1.5898
{txt}Ho: diff = 0                                     degrees of freedom = {res}     185

    {txt}Ha: diff < 0                 Ha: diff != 0                 Ha: diff > 0
 Pr(T < t) = {res}0.9432         {txt}Pr(|T| > |t|) = {res}0.1136          {txt}Pr(T > t) = {res}0.0568

{txt}Two-sample t test with equal variances
{hline 9}{c TT}{hline 68}
   Group{col 10}{c |}{col 16}Obs{col 27}Mean{col 35}Std. Err.{col 47}Std. Dev.{col 59}[95% Conf. Interval]
{hline 9}{c +}{hline 68}
 No info {c |}{res}{col 12}    192{col 22} .5840364{col 34} .0050415{col 46} .0698577{col 58} .5740921{col 70} .5939806
    {txt}Info {c |}{res}{col 12}    184{col 22} .5716784{col 34} .0052327{col 46} .0709795{col 58} .5613542{col 70} .5820025
{txt}{hline 9}{c +}{hline 68}
combined {c |}{res}{col 12}    376{col 22} .5779888{col 34} .0036402{col 46} .0705864{col 58}  .570831{col 70} .5851466
{txt}{hline 9}{c +}{hline 68}
    diff {c |}{res}{col 22}  .012358{col 34} .0072638{col 58}-.0019249{col 70} .0266409
{txt}{hline 9}{c BT}{hline 68}
    diff = mean({res}No info{txt}) - mean({res}Info{txt})                             t = {res}  1.7013
{txt}Ho: diff = 0                                     degrees of freedom = {res}     374

    {txt}Ha: diff < 0                 Ha: diff != 0                 Ha: diff > 0
 Pr(T < t) = {res}0.9551         {txt}Pr(|T| > |t|) = {res}0.0897          {txt}Pr(T > t) = {res}0.0449

{txt}Two-sample t test with equal variances
{hline 9}{c TT}{hline 68}
   Group{col 10}{c |}{col 16}Obs{col 27}Mean{col 35}Std. Err.{col 47}Std. Dev.{col 59}[95% Conf. Interval]
{hline 9}{c +}{hline 68}
No inter {c |}{res}{col 12}    187{col 22} .5798459{col 34} .0053167{col 46} .0727046{col 58} .5693572{col 70} .5903347
{txt}Interfac {c |}{res}{col 12}    189{col 22} .5761514{col 34} .0049877{col 46}   .06857{col 58} .5663122{col 70} .5859905
{txt}{hline 9}{c +}{hline 68}
combined {c |}{res}{col 12}    376{col 22} .5779888{col 34} .0036402{col 46} .0705864{col 58}  .570831{col 70} .5851466
{txt}{hline 9}{c +}{hline 68}
    diff {c |}{res}{col 22} .0036946{col 34} .0072878{col 58}-.0106355{col 70} .0180247
{txt}{hline 9}{c BT}{hline 68}
    diff = mean({res}No inter{txt}) - mean({res}Interfac{txt})                        t = {res}  0.5070
{txt}Ho: diff = 0                                     degrees of freedom = {res}     374

    {txt}Ha: diff < 0                 Ha: diff != 0                 Ha: diff > 0
 Pr(T < t) = {res}0.6938         {txt}Pr(|T| > |t|) = {res}0.6125          {txt}Pr(T > t) = {res}0.3062

{txt}Two-sample t test with equal variances
{hline 9}{c TT}{hline 68}
   Group{col 10}{c |}{col 16}Obs{col 27}Mean{col 35}Std. Err.{col 47}Std. Dev.{col 59}[95% Conf. Interval]
{hline 9}{c +}{hline 68}
 Control {c |}{res}{col 12}     95{col 22} .2388425{col 34}  .006268{col 46} .0610927{col 58} .2263972{col 70} .2512877
    {txt}Full {c |}{res}{col 12}     92{col 22} .2289067{col 34} .0055591{col 46} .0533211{col 58} .2178642{col 70} .2399492
{txt}{hline 9}{c +}{hline 68}
combined {c |}{res}{col 12}    187{col 22} .2339543{col 34} .0042021{col 46} .0574633{col 58} .2256643{col 70} .2422442
{txt}{hline 9}{c +}{hline 68}
    diff {c |}{res}{col 22} .0099358{col 34} .0083963{col 58}-.0066291{col 70} .0265006
{txt}{hline 9}{c BT}{hline 68}
    diff = mean({res}Control{txt}) - mean({res}Full{txt})                             t = {res}  1.1833
{txt}Ho: diff = 0                                     degrees of freedom = {res}     185

    {txt}Ha: diff < 0                 Ha: diff != 0                 Ha: diff > 0
 Pr(T < t) = {res}0.8809         {txt}Pr(|T| > |t|) = {res}0.2382          {txt}Pr(T > t) = {res}0.1191

{txt}Two-sample t test with equal variances
{hline 9}{c TT}{hline 68}
   Group{col 10}{c |}{col 16}Obs{col 27}Mean{col 35}Std. Err.{col 47}Std. Dev.{col 59}[95% Conf. Interval]
{hline 9}{c +}{hline 68}
 No info {c |}{res}{col 12}    192{col 22} .2359007{col 34} .0045753{col 46} .0633977{col 58}  .226876{col 70} .2449254
    {txt}Info {c |}{res}{col 12}    184{col 22} .2284785{col 34} .0040764{col 46}  .055295{col 58} .2204357{col 70} .2365213
{txt}{hline 9}{c +}{hline 68}
combined {c |}{res}{col 12}    376{col 22} .2322686{col 34}  .003074{col 46} .0596073{col 58} .2262241{col 70}  .238313
{txt}{hline 9}{c +}{hline 68}
    diff {c |}{res}{col 22} .0074222{col 34} .0061457{col 58}-.0046621{col 70} .0195066
{txt}{hline 9}{c BT}{hline 68}
    diff = mean({res}No info{txt}) - mean({res}Info{txt})                             t = {res}  1.2077
{txt}Ho: diff = 0                                     degrees of freedom = {res}     374

    {txt}Ha: diff < 0                 Ha: diff != 0                 Ha: diff > 0
 Pr(T < t) = {res}0.8860         {txt}Pr(|T| > |t|) = {res}0.2279          {txt}Pr(T > t) = {res}0.1140

{txt}Two-sample t test with equal variances
{hline 9}{c TT}{hline 68}
   Group{col 10}{c |}{col 16}Obs{col 27}Mean{col 35}Std. Err.{col 47}Std. Dev.{col 59}[95% Conf. Interval]
{hline 9}{c +}{hline 68}
No inter {c |}{res}{col 12}    187{col 22} .2335329{col 34} .0043463{col 46} .0594351{col 58} .2249585{col 70} .2421074
{txt}Interfac {c |}{res}{col 12}    189{col 22} .2310176{col 34} .0043577{col 46} .0599086{col 58} .2224213{col 70} .2396138
{txt}{hline 9}{c +}{hline 68}
combined {c |}{res}{col 12}    376{col 22} .2322686{col 34}  .003074{col 46} .0596073{col 58} .2262241{col 70}  .238313
{txt}{hline 9}{c +}{hline 68}
    diff {c |}{res}{col 22} .0025154{col 34} .0061549{col 58}-.0095873{col 70}  .014618
{txt}{hline 9}{c BT}{hline 68}
    diff = mean({res}No inter{txt}) - mean({res}Interfac{txt})                        t = {res}  0.4087
{txt}Ho: diff = 0                                     degrees of freedom = {res}     374

    {txt}Ha: diff < 0                 Ha: diff != 0                 Ha: diff > 0
 Pr(T < t) = {res}0.6585         {txt}Pr(|T| > |t|) = {res}0.6830          {txt}Pr(T > t) = {res}0.3415

{txt}Two-sample t test with equal variances
{hline 9}{c TT}{hline 68}
   Group{col 10}{c |}{col 16}Obs{col 27}Mean{col 35}Std. Err.{col 47}Std. Dev.{col 59}[95% Conf. Interval]
{hline 9}{c +}{hline 68}
 Control {c |}{res}{col 12}     95{col 22} .8186394{col 34} .0093359{col 46} .0909951{col 58} .8001028{col 70} .8371761
    {txt}Full {c |}{res}{col 12}     92{col 22} .7984316{col 34} .0111167{col 46} .1066279{col 58} .7763496{col 70} .8205136
{txt}{hline 9}{c +}{hline 68}
combined {c |}{res}{col 12}    187{col 22} .8086976{col 34} .0072576{col 46} .0992456{col 58} .7943799{col 70} .8230153
{txt}{hline 9}{c +}{hline 68}
    diff {c |}{res}{col 22} .0202078{col 34} .0144801{col 58}-.0083596{col 70} .0487753
{txt}{hline 9}{c BT}{hline 68}
    diff = mean({res}Control{txt}) - mean({res}Full{txt})                             t = {res}  1.3956
{txt}Ho: diff = 0                                     degrees of freedom = {res}     185

    {txt}Ha: diff < 0                 Ha: diff != 0                 Ha: diff > 0
 Pr(T < t) = {res}0.9177         {txt}Pr(|T| > |t|) = {res}0.1645          {txt}Pr(T > t) = {res}0.0823

{txt}Two-sample t test with equal variances
{hline 9}{c TT}{hline 68}
   Group{col 10}{c |}{col 16}Obs{col 27}Mean{col 35}Std. Err.{col 47}Std. Dev.{col 59}[95% Conf. Interval]
{hline 9}{c +}{hline 68}
 No info {c |}{res}{col 12}    192{col 22} .8114784{col 34} .0069586{col 46} .0964214{col 58} .7977528{col 70}  .825204
    {txt}Info {c |}{res}{col 12}    184{col 22} .7989852{col 34} .0079838{col 46} .1082969{col 58} .7832331{col 70} .8147372
{txt}{hline 9}{c +}{hline 68}
combined {c |}{res}{col 12}    376{col 22} .8053647{col 34} .0052839{col 46} .1024587{col 58} .7949749{col 70} .8157545
{txt}{hline 9}{c +}{hline 68}
    diff {c |}{res}{col 22} .0124932{col 34} .0105646{col 58}-.0082803{col 70} .0332666
{txt}{hline 9}{c BT}{hline 68}
    diff = mean({res}No info{txt}) - mean({res}Info{txt})                             t = {res}  1.1826
{txt}Ho: diff = 0                                     degrees of freedom = {res}     374

    {txt}Ha: diff < 0                 Ha: diff != 0                 Ha: diff > 0
 Pr(T < t) = {res}0.8811         {txt}Pr(|T| > |t|) = {res}0.2377          {txt}Pr(T > t) = {res}0.1189

{txt}Two-sample t test with equal variances
{hline 9}{c TT}{hline 68}
   Group{col 10}{c |}{col 16}Obs{col 27}Mean{col 35}Std. Err.{col 47}Std. Dev.{col 59}[95% Conf. Interval]
{hline 9}{c +}{hline 68}
No inter {c |}{res}{col 12}    187{col 22} .8092423{col 34} .0074045{col 46} .1012546{col 58} .7946348{col 70} .8238498
{txt}Interfac {c |}{res}{col 12}    189{col 22} .8015281{col 34} .0075476{col 46} .1037621{col 58} .7866392{col 70} .8164169
{txt}{hline 9}{c +}{hline 68}
combined {c |}{res}{col 12}    376{col 22} .8053647{col 34} .0052839{col 46} .1024587{col 58} .7949749{col 70} .8157545
{txt}{hline 9}{c +}{hline 68}
    diff {c |}{res}{col 22} .0077142{col 34} .0105746{col 58}-.0130788{col 70} .0285073
{txt}{hline 9}{c BT}{hline 68}
    diff = mean({res}No inter{txt}) - mean({res}Interfac{txt})                        t = {res}  0.7295
{txt}Ho: diff = 0                                     degrees of freedom = {res}     374

    {txt}Ha: diff < 0                 Ha: diff != 0                 Ha: diff > 0
 Pr(T < t) = {res}0.7669         {txt}Pr(|T| > |t|) = {res}0.4661          {txt}Pr(T > t) = {res}0.2331

{txt}Two-sample t test with equal variances
{hline 9}{c TT}{hline 68}
   Group{col 10}{c |}{col 16}Obs{col 27}Mean{col 35}Std. Err.{col 47}Std. Dev.{col 59}[95% Conf. Interval]
{hline 9}{c +}{hline 68}
 Control {c |}{res}{col 12}     95{col 22} .1374767{col 34} .0172762{col 46} .1683871{col 58} .1031744{col 70} .1717789
    {txt}Full {c |}{res}{col 12}     92{col 22} .1412059{col 34} .0171641{col 46} .1646326{col 58} .1071114{col 70} .1753003
{txt}{hline 9}{c +}{hline 68}
combined {c |}{res}{col 12}    187{col 22} .1393114{col 34} .0121474{col 46} .1661131{col 58}  .115347{col 70} .1632757
{txt}{hline 9}{c +}{hline 68}
    diff {c |}{res}{col 22}-.0037292{col 34} .0243619{col 58}-.0517922{col 70} .0443338
{txt}{hline 9}{c BT}{hline 68}
    diff = mean({res}Control{txt}) - mean({res}Full{txt})                             t = {res} -0.1531
{txt}Ho: diff = 0                                     degrees of freedom = {res}     185

    {txt}Ha: diff < 0                 Ha: diff != 0                 Ha: diff > 0
 Pr(T < t) = {res}0.4393         {txt}Pr(|T| > |t|) = {res}0.8785          {txt}Pr(T > t) = {res}0.5607

{txt}Two-sample t test with equal variances
{hline 9}{c TT}{hline 68}
   Group{col 10}{c |}{col 16}Obs{col 27}Mean{col 35}Std. Err.{col 47}Std. Dev.{col 59}[95% Conf. Interval]
{hline 9}{c +}{hline 68}
 No info {c |}{res}{col 12}    192{col 22} .1263047{col 34}  .011557{col 46}  .160138{col 58}  .103509{col 70} .1491003
    {txt}Info {c |}{res}{col 12}    184{col 22} .1372638{col 34} .0126226{col 46} .1712214{col 58} .1123593{col 70} .1621684
{txt}{hline 9}{c +}{hline 68}
combined {c |}{res}{col 12}    376{col 22} .1316677{col 34} .0085362{col 46} .1655237{col 58} .1148828{col 70} .1484526
{txt}{hline 9}{c +}{hline 68}
    diff {c |}{res}{col 22}-.0109592{col 34} .0170898{col 58}-.0445632{col 70} .0226449
{txt}{hline 9}{c BT}{hline 68}
    diff = mean({res}No info{txt}) - mean({res}Info{txt})                             t = {res} -0.6413
{txt}Ho: diff = 0                                     degrees of freedom = {res}     374

    {txt}Ha: diff < 0                 Ha: diff != 0                 Ha: diff > 0
 Pr(T < t) = {res}0.2609         {txt}Pr(|T| > |t|) = {res}0.5217          {txt}Pr(T > t) = {res}0.7391

{txt}Two-sample t test with equal variances
{hline 9}{c TT}{hline 68}
   Group{col 10}{c |}{col 16}Obs{col 27}Mean{col 35}Std. Err.{col 47}Std. Dev.{col 59}[95% Conf. Interval]
{hline 9}{c +}{hline 68}
No inter {c |}{res}{col 12}    187{col 22} .1354326{col 34} .0126453{col 46} .1729218{col 58} .1104859{col 70} .1603792
{txt}Interfac {c |}{res}{col 12}    189{col 22} .1279426{col 34}   .01151{col 46} .1582359{col 58} .1052373{col 70} .1506479
{txt}{hline 9}{c +}{hline 68}
combined {c |}{res}{col 12}    376{col 22} .1316677{col 34} .0085362{col 46} .1655237{col 58} .1148828{col 70} .1484526
{txt}{hline 9}{c +}{hline 68}
    diff {c |}{res}{col 22}   .00749{col 34} .0170911{col 58}-.0261168{col 70} .0410967
{txt}{hline 9}{c BT}{hline 68}
    diff = mean({res}No inter{txt}) - mean({res}Interfac{txt})                        t = {res}  0.4382
{txt}Ho: diff = 0                                     degrees of freedom = {res}     374

    {txt}Ha: diff < 0                 Ha: diff != 0                 Ha: diff > 0
 Pr(T < t) = {res}0.6693         {txt}Pr(|T| > |t|) = {res}0.6615          {txt}Pr(T > t) = {res}0.3307
{txt}
{com}.         
.         restore
{txt}
{com}.         
.         count if uniquehc == 1 & treatment == 1
  {res}92
{txt}
{com}.         local n_t `r(N)'
{txt}
{com}.         
.         count if uniquehc == 1 & treatment == 2
  {res}92
{txt}
{com}.         local n_inf `r(N)'
{txt}
{com}.         
.         count if uniquehc == 1 & treatment == 3
  {res}97
{txt}
{com}.         local n_int `r(N)'
{txt}
{com}.         
.         count if uniquehc == 1 & treatment == 4
  {res}95
{txt}
{com}.         local n_c `r(N)'
{txt}
{com}.         
.         **********************
.         * Creating the table *
.         **********************
.         
.         texdoc init "${c -(}tables{c )-}/TableG3.tex", replace force
{res}{txt}(texdoc output file is /Users/fredericcochinard/Dropbox/ACT_Health_JOP_replication_file/3.Tables and Figures/Tables/TableG3.tex)
{res}{txt}
{com}.         tex \begin{c -(}table{c )-}[htbp]\centering
{res}{txt}
{com}.         tex \scriptsize
{res}{txt}
{com}.         tex \def\sym#1{c -(}\ifmmode^{c -(}#1{c )-}\else\(^{c -(}#1{c )-}\)\fi{c )-}
{res}{txt}
{com}.         tex \caption{c -(}Balance Across Treatment Arms{c )-}
{res}{txt}
{com}.         tex \begin{c -(}tabular{c )-}{c -(}lccccccccc{c )-}
{res}{txt}
{com}.         tex \toprule
{res}{txt}
{com}.     tex                &\multicolumn{c -(}1{c )-}{c -(}c{c )-}{c -(}(1){c )-}&\multicolumn{c -(}1{c )-}{c -(}c{c )-}{c -(}(2){c )-}&\multicolumn{c -(}1{c )-}{c -(}c{c )-}{c -(}(3){c )-}&\multicolumn{c -(}1{c )-}{c -(}c{c )-}{c -(}(4){c )-}&\multicolumn{c -(}1{c )-}{c -(}c{c )-}{c -(}(5){c )-}&\multicolumn{c -(}1{c )-}{c -(}c{c )-}{c -(}(6){c )-}&\multicolumn{c -(}1{c )-}{c -(}c{c )-}{c -(}(7){c )-}\\
{res}{txt}
{com}.     tex               &\multicolumn{c -(}1{c )-}{c -(}c{c )-}{c -(}\begin{c -(}tabular{c )-}[c]{c -(}@{c -(}{c )-}c@{c -(}{c )-}{c )-}Full\\treatment\end{c -(}tabular{c )-}{c )-}&\multicolumn{c -(}1{c )-}{c -(}c{c )-}{c -(}\begin{c -(}tabular{c )-}[c]{c -(}@{c -(}{c )-}c@{c -(}{c )-}{c )-}Information\\only\end{c -(}tabular{c )-}{c )-}&\multicolumn{c -(}1{c )-}{c -(}c{c )-}{c -(}\begin{c -(}tabular{c )-}[c]{c -(}@{c -(}{c )-}c@{c -(}{c )-}{c )-}Interface\\only\end{c -(}tabular{c )-}{c )-}&\multicolumn{c -(}1{c )-}{c -(}c{c )-}{c -(}\begin{c -(}tabular{c )-}[c]{c -(}@{c -(}{c )-}c@{c -(}{c )-}{c )-}Control\end{c -(}tabular{c )-}{c )-}&\multicolumn{c -(}1{c )-}{c -(}c{c )-}{c -(}\begin{c -(}tabular{c )-}[c]{c -(}@{c -(}{c )-}c@{c -(}{c )-}{c )-}P-value difference \\ (1) - (4)\end{c -(}tabular{c )-}{c )-}&\multicolumn{c -(}1{c )-}{c -(}c{c )-}{c -(}\begin{c -(}tabular{c )-}[c]{c -(}@{c -(}{c )-}c@{c -(}{c )-}{c )-}P-value difference \\ (1) \& (2) - (3) \& (4)\end{c -(}tabular{c )-}{c )-}&\multicolumn{c -(}1{c )-}{c -(}c{c )-}{c -(}\begin{c -(}tabular{c )-}[c]{c -(}@{c -(}{c )-}c@{c -(}{c )-}{c )-}P-value difference \\ (1) \& (3) - (2) \& (4)\end{c -(}tabular{c )-}{c )-}\\
{res}{txt}
{com}.         tex \midrule
{res}{txt}
{com}.         tex \textit{c -(}A. Characteristics of catchment area{c )-} & & & & & & & & \\
{res}{txt}
{com}.         tex \midrule
{res}{txt}
{com}.         tex Avg. distance of households to HC      &  `mean_t_b_distance_hc' & `mean_inf_b_distance_hc'   & `mean_int_b_distance_hc' &  `mean_c_b_distance_hc'   &  `p_diff_tc_b_distance_hc' & `p_diff_info_b_distance_hc'   &  `p_diff_inter_b_distance_hc'   \\
{res}{txt}
{com}.     tex Avg. household wealth in catchment area      &  `mean_t_b_avg_assetindex' & `mean_inf_b_avg_assetindex'   & `mean_int_b_avg_assetindex' &  `mean_c_b_avg_assetindex'   &  `p_diff_tc_b_avg_assetindex' & `p_diff_info_b_avg_assetindex'   &  `p_diff_inter_b_avg_assetindex'   \\
{res}{txt}
{com}.         tex Log pop. density in 3km radius around HC     &  `mean_t_b_h_popdensity' & `mean_inf_b_h_popdensity'   & `mean_int_b_h_popdensity' &  `mean_c_b_h_popdensity'   &  `p_diff_tc_b_h_popdensity' & `p_diff_info_b_h_popdensity'   &  `p_diff_inter_b_h_popdensity'   \\
{res}{txt}
{com}.         tex Avg. level of education of household head     &  `mean_t_b_educyr' & `mean_inf_b_educyr'   & `mean_int_b_educyr' &  `mean_c_b_educyr'   &  `p_diff_tc_b_educyr' & `p_diff_info_b_educyr'   &  `p_diff_inter_b_educyr'   \\
{res}{txt}
{com}.         tex Share of households that received a VHT visit in the last 12 months    &  `mean_t_b_avg_vhtvisit' & `mean_inf_b_avg_vhtvisit'   & `mean_int_b_avg_vhtvisit' &  `mean_c_b_avg_vhtvisit'   &  `p_diff_tc_b_avg_vhtvisit' & `p_diff_info_b_avg_vhtvisit'   &  `p_diff_inter_b_avg_vhtvisit'   \\
{res}{txt}
{com}.         tex Share of households that declared NGOs activity in their village &  `mean_t_b_avg_ngo' & `mean_inf_b_avg_ngo'   & `mean_int_b_avg_ngo' &  `mean_c_b_avg_ngo'   &  `p_diff_tc_b_avg_ngo' & `p_diff_info_b_avg_ngo'   &  `p_diff_inter_b_avg_ngo'   \\
{res}{txt}
{com}.         tex \midrule
{res}{txt}
{com}.         tex \textit{c -(}B. Characteristics of HC{c )-} & & & & & & & & \\
{res}{txt}
{com}.         tex \midrule
{res}{txt}
{com}.         tex Share providing delivery services      &  `mean_t_b_h_del' & `mean_inf_b_h_del'   & `mean_int_b_h_del' &  `mean_c_b_h_del'   &  `p_diff_tc_b_h_del' & `p_diff_info_b_h_del'   &  `p_diff_inter_b_h_del'   \\
{res}{txt}
{com}.     tex Share having staff houses      &  `mean_t_b_h_staff_houses' & `mean_inf_b_h_staff_houses'   & `mean_int_b_h_staff_houses' &  `mean_c_b_h_staff_houses'   &  `p_diff_tc_b_h_staff_houses' & `p_diff_info_b_h_staff_houses'   &  `p_diff_inter_b_h_staff_houses'   \\
{res}{txt}
{com}.     tex \# of trained medical staff      &  `mean_t_b_h_trainedstaff' & `mean_inf_b_h_trainedstaff'   & `mean_int_b_h_trainedstaff' &  `mean_c_b_h_trainedstaff'   &  `p_diff_tc_b_h_trainedstaff' & `p_diff_info_b_h_trainedstaff'   &  `p_diff_inter_b_h_trainedstaff'   \\
{res}{txt}
{com}.     tex Share having piped water      &  `mean_t_b_h_pipedwater' & `mean_inf_b_h_pipedwater'   & `mean_int_b_h_pipedwater' &  `mean_c_b_h_pipedwater'   &  `p_diff_tc_b_h_pipedwater' & `p_diff_info_b_h_pipedwater'   &  `p_diff_inter_b_h_pipedwater'   \\
{res}{txt}
{com}.     tex Share having electricity (grid or solar)      &  `mean_t_b_h_elec' & `mean_inf_b_h_elec'   & `mean_int_b_h_elec' &  `mean_c_b_h_elec'   &  `p_diff_tc_b_h_elec' & `p_diff_info_b_h_elec'   &  `p_diff_inter_b_h_elec'   \\
{res}{txt}
{com}.         tex Avg. distance to nearest other government HC in district     &  `mean_t_b_h_mindist_hc' & `mean_inf_b_h_mindist_hc'   & `mean_int_b_h_mindist_hc' &  `mean_c_b_h_mindist_hc'   &  `p_diff_tc_b_h_mindist_hc' & `p_diff_info_b_h_mindist_hc'   &  `p_diff_inter_b_h_mindist_hc'   \\
{res}{txt}
{com}.     tex \midrule
{res}{txt}
{com}.         tex \textit{c -(}C. Baseline levels of key outcome indices{c )-} & & & & & & & & \\
{res}{txt}
{com}.         tex \midrule
{res}{txt}
{com}.         tex Community monitoring      &  `mean_t_b_commtg_mean' & `mean_inf_b_commtg_mean'   & `mean_int_b_commtg_mean' &  `mean_c_b_commtg_mean'   &  `p_diff_tc_b_commtg_mean' & `p_diff_info_b_commtg_mean'   &  `p_diff_inter_b_commtg_mean'   \\
{res}{txt}
{com}.         tex Perceived citizen pressure      &  `mean_t_b_ctzpressure_mean' & `mean_inf_b_ctzpressure_mean'   & `mean_int_b_ctzpressure_mean' &  `mean_c_b_ctzpressure_mean'   &  `p_diff_tc_b_ctzpressure_mean' & `p_diff_info_b_ctzpressure_mean'   &  `p_diff_inter_b_ctzpressure_mean'   \\
{res}{txt}
{com}.         tex Utilization     &  `mean_t_b_urate_mean' & `mean_inf_b_urate_mean'   & `mean_int_b_urate_mean' &  `mean_c_b_urate_mean'   &  `p_diff_tc_b_urate_mean' & `p_diff_info_b_urate_mean'   &  `p_diff_inter_b_urate_mean'   \\
{res}{txt}
{com}.     tex Treatment quality      &  `mean_t_b_treatqual_mean' & `mean_inf_b_treatqual_mean'   & `mean_int_b_treatqual_mean' &  `mean_c_b_treatqual_mean'   &  `p_diff_tc_b_treatqual_mean' & `p_diff_info_b_treatqual_mean'   &  `p_diff_inter_b_treatqual_mean'   \\
{res}{txt}
{com}.     tex Patient satisfaction      &  `mean_t_b_patsat_mean' & `mean_inf_b_patsat_mean'   & `mean_int_b_patsat_mean' &  `mean_c_b_patsat_mean'   &  `p_diff_tc_b_patsat_mean' & `p_diff_info_b_patsat_mean'   &  `p_diff_inter_b_patsat_mean'   \\
{res}{txt}
{com}.     tex Health outcomes (HH level)     &  `mean_t_b_healthout_mean' & `mean_inf_b_healthout_mean'   & `mean_int_b_healthout_mean' &  `mean_c_b_healthout_mean'   &  `p_diff_tc_b_healthout_mean' & `p_diff_info_b_healthout_mean'   &  `p_diff_inter_b_healthout_mean'   \\
{res}{txt}
{com}.     tex Health outcomes (Child level)    &  `mean_t_b_healthoutcome_m' & `mean_inf_b_healthoutcome_m'   & `mean_int_b_healthoutcome_m' &  `mean_c_b_healthoutcome_m'   &  `p_diff_tc_b_healthoutcome_m' & `p_diff_info_b_healthoutcome_m'   &  `p_diff_inter_b_healthoutcome_m'   \\
{res}{txt}
{com}.         tex Child Mortality (deaths per 1,000 live births)      &  `mean_t_b_mortrate_mean' & `mean_inf_b_mortrate_mean'   & `mean_int_b_mortrate_mean' &  `mean_c_b_mortrate_mean'   &  `p_diff_tc_b_mortrate_mean' & `p_diff_info_b_mortrate_mean'   &  `p_diff_inter_b_mortrate_mean'   \\
{res}{txt}
{com}.     tex \midrule
{res}{txt}
{com}.         tex \textit{c -(}D. Baseline levels of intermediate outcome indices{c )-} & & & & & & & & \\
{res}{txt}
{com}.         tex \midrule
{res}{txt}
{com}.         tex Citizen knowledge      &  `mean_t_b_ctzknow_mean' & `mean_inf_b_ctzknow_mean'   & `mean_int_b_ctzknow_mean' &  `mean_c_b_ctzknow_mean'   &  `p_diff_tc_b_ctzknow_mean' & `p_diff_info_b_ctzknow_mean'   &  `p_diff_inter_b_ctzknow_mean'   \\
{res}{txt}
{com}.         tex Health worker knowledge      &  `mean_t_b_h_hcpknow_mean' & `mean_inf_b_h_hcpknow_mean'   & `mean_int_b_h_hcpknow_mean' &  `mean_c_b_h_hcpknow_mean'   &  `p_diff_tc_b_h_hcpknow_mean' & `p_diff_info_b_h_hcpknow_mean'   &  `p_diff_inter_b_h_hcpknow_mean'   \\
{res}{txt}
{com}.         tex Efficacy      &  `mean_t_b_eff_mean' & `mean_inf_b_eff_mean'   & `mean_int_b_eff_mean' &  `mean_c_b_eff_mean'   &  `p_diff_tc_b_eff_mean' & `p_diff_info_b_eff_mean'   &  `p_diff_inter_b_eff_mean'   \\
{res}{txt}
{com}.         tex Community responsibility      &  `mean_t_b_commresp_mean' & `mean_inf_b_commresp_mean'   & `mean_int_b_commresp_mean' &  `mean_c_b_commresp_mean'   &  `p_diff_tc_b_commresp_mean' & `p_diff_info_b_commresp_mean'   &  `p_diff_inter_b_commresp_mean'   \\
{res}{txt}
{com}.         tex Relationship between health workers and community    &  `mean_t_b_relhhhc_mean' & `mean_inf_b_relhhhc_mean'   & `mean_int_b_relhhhc_mean' &  `mean_c_b_relhhhc_mean'   &  `p_diff_tc_b_relhhhc_mean' & `p_diff_info_b_relhhhc_mean'   &  `p_diff_inter_b_relhhhc_mean'   \\
{res}{txt}
{com}.         tex Health center transparency      &  `mean_t_b_h_hctrans_mean' & `mean_inf_b_h_hctrans_mean'   & `mean_int_b_h_hctrans_mean' &  `mean_c_b_h_hctrans_mean'   &  `p_diff_tc_b_h_hctrans_mean' & `p_diff_info_b_h_hctrans_mean'   &  `p_diff_inter_b_h_hctrans_mean'   \\
{res}{txt}
{com}.         tex \midrule
{res}{txt}
{com}.         tex N & `n_t' & `n_inf' & `n_int' & `n_c' & & & \\
{res}{txt}
{com}.         tex \bottomrule
{res}{txt}
{com}.         tex \end{c -(}tabular{c )-}
{res}{txt}
{com}.         tex \end{c -(}table{c )-}
{res}{txt}
{com}.         texdoc close
{txt}(texdoc output written to {browse `"/Users/fredericcochinard/Dropbox/ACT_Health_JOP_replication_file/3.Tables and Figures/Tables/TableG3.tex"':/Users/fredericcochinard/Dropbox/ACT_Health_JOP_replication_file/3.Tables and Figures/Tables/TableG3.tex})
{res}{txt}
{com}.         
.         
.         *********************************************
.         * Table G1: Attrition Across Treatment Arms *
.         *********************************************
.         
.         * We load the dataset. This is the light version
.         
.         use "${c -(}usedata{c )-}/chp_el_attrition_dataset.dta", clear
{txt}
{com}.         
.         * We prepare the data
.         
.         replace m_consent = 0 if m_consent != 1
{txt}(836 real changes made)

{com}.         replace e_consent = 0 if e_consent != 1
{txt}(686 real changes made)

{com}.         
.         byso hc_id: egen temp = mean(m_consent)
{txt}
{com}.         drop m_consent
{txt}
{com}.         ren temp m_consent
{res}{txt}
{com}.         
.         byso hc_id: egen temp = mean(e_consent)
{txt}
{com}.         drop e_consent
{txt}
{com}.         ren temp e_consent
{res}{txt}
{com}.         
.         drop hh_id
{txt}
{com}.         duplicates drop

{p 0 4}{txt}Duplicates in terms of {txt} all variables{p_end}

(14,919 observations deleted)

{com}.         
.         gen treatfull = .
{txt}(376 missing values generated)

{com}.         replace treatfull = 1 if treatment == 1
{txt}(92 real changes made)

{com}.         replace treatfull = 0 if treatment == 4
{txt}(95 real changes made)

{com}.         
.         gen treatinfo = .
{txt}(376 missing values generated)

{com}.         replace treatinfo = 1 if inlist(treatment,1,2)
{txt}(184 real changes made)

{com}.         replace treatinfo = 0 if inlist(treatment,3,4)
{txt}(192 real changes made)

{com}.         
.         gen treatinter = .
{txt}(376 missing values generated)

{com}.         replace treatinter = 1 if inlist(treatment,1,3)
{txt}(189 real changes made)

{com}.         replace treatinter = 0 if inlist(treatment,2,4)
{txt}(187 real changes made)

{com}.         
.         foreach var in treatfull treatinfo treatinter {c -(}
{txt}  2{com}.         
.                 ttest m_consent, by(`var')
{txt}  3{com}.                 local m_`var' = r(p)
{txt}  4{com}.                 local m_`var' = string(`m_`var'',"%9.2fc")
{txt}  5{com}.                 
.                 ttest e_consent, by(`var')
{txt}  6{com}.                 local e_`var' = r(p)
{txt}  7{com}.                 local e_`var' = string(`e_`var'',"%9.2fc")
{txt}  8{com}.                 
.                 {c )-}

{txt}Two-sample t test with equal variances
{hline 9}{c TT}{hline 68}
   Group{col 10}{c |}{col 16}Obs{col 27}Mean{col 35}Std. Err.{col 47}Std. Dev.{col 59}[95% Conf. Interval]
{hline 9}{c +}{hline 68}
       0 {c |}{res}{col 12}     95{col 22}  .944002{col 34}  .005552{col 46} .0541141{col 58} .9329784{col 70} .9550256
       {txt}1 {c |}{res}{col 12}     92{col 22} .9469625{col 34} .0044555{col 46}  .042736{col 58} .9381121{col 70} .9558128
{txt}{hline 9}{c +}{hline 68}
combined {c |}{res}{col 12}    187{col 22} .9454585{col 34} .0035643{col 46} .0487407{col 58} .9384269{col 70} .9524901
{txt}{hline 9}{c +}{hline 68}
    diff {c |}{res}{col 22}-.0029604{col 34} .0071454{col 58}-.0170574{col 70} .0111365
{txt}{hline 9}{c BT}{hline 68}
    diff = mean({res}0{txt}) - mean({res}1{txt})                                      t = {res} -0.4143
{txt}Ho: diff = 0                                     degrees of freedom = {res}     185

    {txt}Ha: diff < 0                 Ha: diff != 0                 Ha: diff > 0
 Pr(T < t) = {res}0.3396         {txt}Pr(|T| > |t|) = {res}0.6791          {txt}Pr(T > t) = {res}0.6604

{txt}Two-sample t test with equal variances
{hline 9}{c TT}{hline 68}
   Group{col 10}{c |}{col 16}Obs{col 27}Mean{col 35}Std. Err.{col 47}Std. Dev.{col 59}[95% Conf. Interval]
{hline 9}{c +}{hline 68}
       0 {c |}{res}{col 12}     95{col 22} .9569501{col 34} .0047627{col 46} .0464211{col 58} .9474936{col 70} .9664066
       {txt}1 {c |}{res}{col 12}     92{col 22} .9560041{col 34} .0037756{col 46} .0362146{col 58} .9485042{col 70} .9635039
{txt}{hline 9}{c +}{hline 68}
combined {c |}{res}{col 12}    187{col 22} .9564847{col 34} .0030424{col 46} .0416043{col 58} .9504826{col 70} .9624867
{txt}{hline 9}{c +}{hline 68}
    diff {c |}{res}{col 22}  .000946{col 34} .0061016{col 58}-.0110917{col 70} .0129838
{txt}{hline 9}{c BT}{hline 68}
    diff = mean({res}0{txt}) - mean({res}1{txt})                                      t = {res}  0.1550
{txt}Ho: diff = 0                                     degrees of freedom = {res}     185

    {txt}Ha: diff < 0                 Ha: diff != 0                 Ha: diff > 0
 Pr(T < t) = {res}0.5615         {txt}Pr(|T| > |t|) = {res}0.8770          {txt}Pr(T > t) = {res}0.4385

{txt}Two-sample t test with equal variances
{hline 9}{c TT}{hline 68}
   Group{col 10}{c |}{col 16}Obs{col 27}Mean{col 35}Std. Err.{col 47}Std. Dev.{col 59}[95% Conf. Interval]
{hline 9}{c +}{hline 68}
       0 {c |}{res}{col 12}    192{col 22} .9471486{col 34} .0034783{col 46} .0481965{col 58} .9402878{col 70} .9540094
       {txt}1 {c |}{res}{col 12}    184{col 22} .9434246{col 34} .0032928{col 46} .0446663{col 58} .9369278{col 70} .9499214
{txt}{hline 9}{c +}{hline 68}
combined {c |}{res}{col 12}    376{col 22} .9453262{col 34} .0023969{col 46}  .046478{col 58} .9406131{col 70} .9500393
{txt}{hline 9}{c +}{hline 68}
    diff {c |}{res}{col 22}  .003724{col 34} .0047975{col 58}-.0057094{col 70} .0131574
{txt}{hline 9}{c BT}{hline 68}
    diff = mean({res}0{txt}) - mean({res}1{txt})                                      t = {res}  0.7762
{txt}Ho: diff = 0                                     degrees of freedom = {res}     374

    {txt}Ha: diff < 0                 Ha: diff != 0                 Ha: diff > 0
 Pr(T < t) = {res}0.7810         {txt}Pr(|T| > |t|) = {res}0.4381          {txt}Pr(T > t) = {res}0.2190

{txt}Two-sample t test with equal variances
{hline 9}{c TT}{hline 68}
   Group{col 10}{c |}{col 16}Obs{col 27}Mean{col 35}Std. Err.{col 47}Std. Dev.{col 59}[95% Conf. Interval]
{hline 9}{c +}{hline 68}
       0 {c |}{res}{col 12}    192{col 22} .9573848{col 34} .0032714{col 46} .0453296{col 58} .9509322{col 70} .9638375
       {txt}1 {c |}{res}{col 12}    184{col 22} .9525411{col 34}  .003237{col 46} .0439085{col 58} .9461545{col 70} .9589277
{txt}{hline 9}{c +}{hline 68}
combined {c |}{res}{col 12}    376{col 22} .9550145{col 34} .0023025{col 46} .0446462{col 58} .9504872{col 70} .9595419
{txt}{hline 9}{c +}{hline 68}
    diff {c |}{res}{col 22} .0048437{col 34} .0046053{col 58}-.0042118{col 70} .0138992
{txt}{hline 9}{c BT}{hline 68}
    diff = mean({res}0{txt}) - mean({res}1{txt})                                      t = {res}  1.0518
{txt}Ho: diff = 0                                     degrees of freedom = {res}     374

    {txt}Ha: diff < 0                 Ha: diff != 0                 Ha: diff > 0
 Pr(T < t) = {res}0.8532         {txt}Pr(|T| > |t|) = {res}0.2936          {txt}Pr(T > t) = {res}0.1468

{txt}Two-sample t test with equal variances
{hline 9}{c TT}{hline 68}
   Group{col 10}{c |}{col 16}Obs{col 27}Mean{col 35}Std. Err.{col 47}Std. Dev.{col 59}[95% Conf. Interval]
{hline 9}{c +}{hline 68}
       0 {c |}{res}{col 12}    187{col 22} .9419774{col 34} .0036863{col 46} .0504097{col 58}  .934705{col 70} .9492498
       {txt}1 {c |}{res}{col 12}    189{col 22} .9486396{col 34} .0030625{col 46} .0421026{col 58} .9425983{col 70} .9546809
{txt}{hline 9}{c +}{hline 68}
combined {c |}{res}{col 12}    376{col 22} .9453262{col 34} .0023969{col 46}  .046478{col 58} .9406131{col 70} .9500393
{txt}{hline 9}{c +}{hline 68}
    diff {c |}{res}{col 22}-.0066622{col 34} .0047879{col 58}-.0160769{col 70} .0027524
{txt}{hline 9}{c BT}{hline 68}
    diff = mean({res}0{txt}) - mean({res}1{txt})                                      t = {res} -1.3915
{txt}Ho: diff = 0                                     degrees of freedom = {res}     374

    {txt}Ha: diff < 0                 Ha: diff != 0                 Ha: diff > 0
 Pr(T < t) = {res}0.0825         {txt}Pr(|T| > |t|) = {res}0.1649          {txt}Pr(T > t) = {res}0.9175

{txt}Two-sample t test with equal variances
{hline 9}{c TT}{hline 68}
   Group{col 10}{c |}{col 16}Obs{col 27}Mean{col 35}Std. Err.{col 47}Std. Dev.{col 59}[95% Conf. Interval]
{hline 9}{c +}{hline 68}
       0 {c |}{res}{col 12}    187{col 22} .9530773{col 34} .0035434{col 46} .0484558{col 58} .9460868{col 70} .9600678
       {txt}1 {c |}{res}{col 12}    189{col 22} .9569312{col 34} .0029507{col 46} .0405654{col 58} .9511105{col 70}  .962752
{txt}{hline 9}{c +}{hline 68}
combined {c |}{res}{col 12}    376{col 22} .9550145{col 34} .0023025{col 46} .0446462{col 58} .9504872{col 70} .9595419
{txt}{hline 9}{c +}{hline 68}
    diff {c |}{res}{col 22}-.0038539{col 34} .0046068{col 58}-.0129124{col 70} .0052046
{txt}{hline 9}{c BT}{hline 68}
    diff = mean({res}0{txt}) - mean({res}1{txt})                                      t = {res} -0.8366
{txt}Ho: diff = 0                                     degrees of freedom = {res}     374

    {txt}Ha: diff < 0                 Ha: diff != 0                 Ha: diff > 0
 Pr(T < t) = {res}0.2017         {txt}Pr(|T| > |t|) = {res}0.4034          {txt}Pr(T > t) = {res}0.7983
{txt}
{com}.         
.         forvalues x = 1/4 {c -(}
{txt}  2{com}.         
.                 sum m_consent if treatment == `x'
{txt}  3{com}.                 local m_consent_`x' = r(mean)
{txt}  4{com}.                 local m_consent_`x' = string(`m_consent_`x'',"%9.3fc")
{txt}  5{com}.                 
.                 sum e_consent if treatment == `x'
{txt}  6{com}.                 local e_consent_`x' = r(mean)
{txt}  7{com}.                 local e_consent_`x' = string(`e_consent_`x'',"%9.3fc")
{txt}  8{com}.                 
.                 {c )-}

{txt}    Variable {c |}        Obs        Mean    Std. Dev.       Min        Max
{hline 13}{c +}{hline 57}
{space 3}m_consent {c |}{res}         92    .9469625     .042736   .7727273          1

{txt}    Variable {c |}        Obs        Mean    Std. Dev.       Min        Max
{hline 13}{c +}{hline 57}
{space 3}e_consent {c |}{res}         92    .9560041    .0362146   .8536586          1

{txt}    Variable {c |}        Obs        Mean    Std. Dev.       Min        Max
{hline 13}{c +}{hline 57}
{space 3}m_consent {c |}{res}         92    .9398868    .0464802        .75          1

{txt}    Variable {c |}        Obs        Mean    Std. Dev.       Min        Max
{hline 13}{c +}{hline 57}
{space 3}e_consent {c |}{res}         92    .9490782    .0504118       .775          1

{txt}    Variable {c |}        Obs        Mean    Std. Dev.       Min        Max
{hline 13}{c +}{hline 57}
{space 3}m_consent {c |}{res}         97    .9502303    .0416521       .825          1

{txt}    Variable {c |}        Obs        Mean    Std. Dev.       Min        Max
{hline 13}{c +}{hline 57}
{space 3}e_consent {c |}{res}         97    .9578106    .0444718        .75          1

{txt}    Variable {c |}        Obs        Mean    Std. Dev.       Min        Max
{hline 13}{c +}{hline 57}
{space 3}m_consent {c |}{res}         95     .944002    .0541141   .7058824          1

{txt}    Variable {c |}        Obs        Mean    Std. Dev.       Min        Max
{hline 13}{c +}{hline 57}
{space 3}e_consent {c |}{res}         95    .9569501    .0464211   .7435898          1
{txt}
{com}.                 
. 
.         texdoc init "${c -(}tables{c )-}/TableG1.tex", replace force
{res}{txt}(texdoc output file is /Users/fredericcochinard/Dropbox/ACT_Health_JOP_replication_file/3.Tables and Figures/Tables/TableG1.tex)
{res}{txt}
{com}.         tex \begin{c -(}table{c )-}[htbp]\centering
{res}{txt}
{com}.         tex \small
{res}{txt}
{com}.         tex \def\sym#1{c -(}\ifmmode^{c -(}#1{c )-}\else\(^{c -(}#1{c )-}\)\fi{c )-}
{res}{txt}
{com}.         tex \caption{c -(}Table F1: Attrition Across Treatment Arms{c )-}
{res}{txt}
{com}.         tex \begin{c -(}tabular{c )-}{c -(}lccccccc{c )-}
{res}{txt}
{com}.         tex \toprule
{res}{txt}
{com}.         tex                                                                                                                                                              & (1)                                                                            & \multicolumn{c -(}1{c )-}{c -(}c{c )-}{c -(}(2){c )-}                                         & (3)                                                            & (4)     & (5)                                                                    & (6)                                                                              & (7)                                                                              \\
{res}{txt}
{com}.         tex                                                                                                                                                              & \multicolumn{c -(}1{c )-}{c -(}c{c )-}{c -(}\begin{c -(}tabular{c )-}[c]{c -(}@{c -(}{c )-}c@{c -(}{c )-}{c )-}Full \\ Treatment\end{c -(}tabular{c )-}{c )-} & \begin{c -(}tabular{c )-}[c]{c -(}@{c -(}{c )-}c@{c -(}{c )-}{c )-}Information \\ Treatment\end{c -(}tabular{c )-} & \begin{c -(}tabular{c )-}[c]{c -(}@{c -(}{c )-}c@{c -(}{c )-}{c )-}Interface \\ Treatment\end{c -(}tabular{c )-} & Control & \begin{c -(}tabular{c )-}[c]{c -(}@{c -(}{c )-}c@{c -(}{c )-}{c )-}P-value Difference\\ (1) - (4)\end{c -(}tabular{c )-} & \begin{c -(}tabular{c )-}[c]{c -(}@{c -(}{c )-}c@{c -(}{c )-}{c )-}P-value Difference\\ (1)\&(2) - (3)\&(4)\end{c -(}tabular{c )-} & \begin{c -(}tabular{c )-}[c]{c -(}@{c -(}{c )-}c@{c -(}{c )-}{c )-}P-value Difference\\ (1)\&(3) - (2)\&(4)\end{c -(}tabular{c )-} \\
{res}{txt}
{com}.         tex \begin{c -(}tabular{c )-}[c]{c -(}@{c -(}{c )-}l@{c -(}{c )-}{c )-}Reinterview rate, \\ baseline to midline\end{c -(}tabular{c )-} &          `m_consent_1'                                                                      &    `m_consent_2'                                                              &                      `m_consent_3'                                          &    `m_consent_4'     &                        `m_treatfull'                                                &     `m_treatinfo'                                                                              &        `m_treatinter'                                                                           \\
{res}{txt}
{com}.         tex \begin{c -(}tabular{c )-}[c]{c -(}@{c -(}{c )-}l@{c -(}{c )-}{c )-}Reinterview rate, \\ baseline to endline\end{c -(}tabular{c )-} &          `e_consent_1'                                                                      &    `e_consent_2'                                                            &                        `e_consent_3'                                        &     `e_consent_4'    &                                `e_treatfull'                                        &          `e_treatinfo'                                                                         &           `e_treatinter'                                                                       
{res}{txt}
{com}.         tex \bottomrule
{res}{txt}
{com}.         tex \end{c -(}tabular{c )-}
{res}{txt}
{com}.         tex \end{c -(}table{c )-}
{res}{txt}
{com}.         texdoc close
{txt}(texdoc output written to {browse `"/Users/fredericcochinard/Dropbox/ACT_Health_JOP_replication_file/3.Tables and Figures/Tables/TableG1.tex"':/Users/fredericcochinard/Dropbox/ACT_Health_JOP_replication_file/3.Tables and Figures/Tables/TableG1.tex})
{res}{txt}
{com}.         
.         ********************************
.         * Table G2: Spillover analysis *
.         ********************************
.         
.         * We load the dataset. This is the light version
.         
.         use "${c -(}usedata{c )-}/chp_el_light_dataset.dta", clear
{txt}
{com}.         
.         * We merge the distance to health centre to control HC
.         
.         drop if treatment != 4
{txt}(11,482 observations deleted)

{com}.         
.         merge m:1 hc_id using "${c -(}usedata{c )-}/Distance to treated HC.dta", nogen
{res}
{txt}{col 5}Result{col 38}# of obs.
{col 5}{hline 41}
{col 5}not matched{col 30}{res}               0
{txt}{col 5}matched{col 30}{res}           3,813{txt}  
{col 5}{hline 41}

{com}.         
.         * We compute mean value at HC to drop hh level
.         
.         local indices commtg_z h_ctzpressure_z urate_z treatqual_z patsat_z healthout_z mortrate_05
{txt}
{com}.         
.         foreach var of local indices {c -(}
{txt}  2{com}.                 foreach x in b_ bm_ m_ e_ {c -(} 
{txt}  3{com}.                         byso hc_id : egen `x'mean_`var' = mean (`x'`var')
{txt}  4{com}.                         {c )-}
{txt}  5{com}.                 foreach x in m_ {c -(}       
{txt}  6{com}.                         gen `x'diff_`var' = `x'mean_`var' -  bm_mean_`var'
{txt}  7{com}.                         {c )-}
{txt}  8{com}.                 foreach x in e_ {c -(}       
{txt}  9{com}.                         gen `x'diff_`var' = `x'mean_`var' -  b_mean_`var'
{txt} 10{com}.                         {c )-}
{txt} 11{com}.                 {c )-}
{txt}
{com}.                 
.         * We drop HH level
.         
.         duplicates drop hc_id, force

{p 0 4}{txt}Duplicates in terms of {res} hc_id{p_end}

{txt}(3,718 observations deleted)

{com}.         
.         * We need to reshape to calculate the distribution
.         
.         foreach x in b_ m_ e_ {c -(} 
{txt}  2{com}.                 local `x'indices
{txt}  3{com}.                 foreach var of local indices {c -(}
{txt}  4{com}.                         local `x'indices ``x'indices' `x'mean_`var'
{txt}  5{com}.                         {c )-}
{txt}  6{com}.                 {c )-}
{txt}
{com}.                 
.         foreach x in m_ e_ {c -(} 
{txt}  2{com}.                 local `x'indices_d
{txt}  3{com}.                 foreach var of local indices {c -(}
{txt}  4{com}.                         local `x'indices_d ``x'indices_d' `x'diff_`var'
{txt}  5{com}.                         {c )-}
{txt}  6{com}.                 {c )-}
{txt}
{com}. 
.         keep hc_id `b_indices' `m_indices' `e_indices' `m_indices_d' `e_indices_d' dist_hc*
{txt}
{com}. 
.         reshape long dist_hc, i(hc_id) j(pos)
{txt}(note: j = 102 103 104 105 106 108 109 110 111 112 113 114 115 117 118 119 120 121 122 123 124 125 126 127 129 130 131 133 135 136 139 140 142 143 144 145 146 151 152 153 156 157 159 160 161 163 165 167 168 169 170 171 173 174 175 178 179 180 181 182 184 185 186 187 188 189 190 192 193 194 195 196 197 198 199 200 202 203 204 205 206 207 209 210 212 213 215 216 217 218 219 220 221 222 223 224 225 226 227 228 229 230 231 233 234 235 236 238 242 243 244 249 251 253 254 255 256 257 258 262 264 265 267 268 269 270 271 272 273 275 278 279 280 281 282 284 285 286 287 288 289 290 291 292 293 295 296 298 304 305 306 308 309 310 311 312 313 314 317 318 319 321 322 323 324 326 327 328 330 331 332 333 335 336 337 338 340 341 342 344 346 347 348 352 354 355 356 357 358 359 360 361 364 365 366 367 368 370 372 375 376 379 380 381 383 384 385 386 389 391 392 393 394 395 397 399 400 401 402 403 406 407 408 409 410 411 412 413 414 415 416 417 418 419 420 421 422 423 424 425 427 428 431 433 434 435 436 437 439 441 442 443 444 446 448 449 451 452 455 456 457 461 462 463 464 466 467 469 470 471 472 474 475 476 477 478 479 480 482 483 484)

Data{col 36}wide{col 43}->{col 48}long
{hline 77}
Number of obs.                 {res}      95   {txt}->{res}   26695
{txt}Number of variables            {res}     317   {txt}->{res}      38
{txt}j variable (281 values)                   ->   {res}pos
{txt}xij variables:
   {res}dist_hc102 dist_hc103 ... dist_hc484   {txt}->   {res}dist_hc
{txt}{hline 77}

{com}.         
.         * We keep the minimum value
.         
.         byso hc_id : egen min_dist = min(dist_hc)
{txt}
{com}. 
.         duplicates drop hc_id, force

{p 0 4}{txt}Duplicates in terms of {res} hc_id{p_end}

{txt}(26,600 observations deleted)

{com}.         
.         drop dist_hc pos
{txt}
{com}.         
.         * We calculate the 67th percentile
.         
.         centile min_dist, centile(67)

{txt}{col 56}{hline 2} Binom. Interp. {hline 2}
    Variable {c |}       Obs  Percentile    Centile        [95% Conf. Interval]
{hline 13}{c +}{hline 61}
    min_dist {c |}{col 14}{res}        95{col 29}     67{col 39} 5.185954{col 55}  4.63833{col 67} 5.442269{txt}

{com}.         
.         gen pct67 = `r(c_1)'
{txt}
{com}.         
.         gen close_hc = (min_dist<=pct67)
{txt}
{com}.         
.         count if close_hc == 1
  {res}64
{txt}
{com}.         local n_close `r(N)'
{txt}
{com}.         
.         count if close_hc == 0
  {res}31
{txt}
{com}.         local n_far `r(N)'
{txt}
{com}.         
.         * We have the variable we were looking for
.         
.         foreach indices in b_indices m_indices e_indices {c -(}
{txt}  2{com}.                 foreach var of local `indices' {c -(} 
{txt}  3{com}.                         sum `var' if close == 1
{txt}  4{com}.                         local cl_`var' `r(mean)'
{txt}  5{com}.                         local cl_`var' = string(`cl_`var'',"%9.3fc")
{txt}  6{com}.                         sum `var' if close == 0
{txt}  7{com}.                         local fr_`var' `r(mean)'
{txt}  8{com}.                         local fr_`var' = string(`fr_`var'',"%9.3fc")
{txt}  9{com}.                         {c )-}
{txt} 10{com}.                 {c )-}

{txt}    Variable {c |}        Obs        Mean    Std. Dev.       Min        Max
{hline 13}{c +}{hline 57}
b_mean_com~z {c |}{res}         64    .0182377     .344748  -1.096518   .6552615

{txt}    Variable {c |}        Obs        Mean    Std. Dev.       Min        Max
{hline 13}{c +}{hline 57}
b_mean_com~z {c |}{res}         31    -.034315    .3455691  -.8496433   .5426689

{txt}    Variable {c |}        Obs        Mean    Std. Dev.       Min        Max
{hline 13}{c +}{hline 57}
b_mean_h_c~z {c |}{res}         64   -.0653442    .7828914  -1.607881   .7468694

{txt}    Variable {c |}        Obs        Mean    Std. Dev.       Min        Max
{hline 13}{c +}{hline 57}
b_mean_h_c~z {c |}{res}         31    .1420099    .7729237  -1.607881   .7468694

{txt}    Variable {c |}        Obs        Mean    Std. Dev.       Min        Max
{hline 13}{c +}{hline 57}
b_mean_ura~z {c |}{res}         64    -.042737    .3007757  -.9217482   .6393006

{txt}    Variable {c |}        Obs        Mean    Std. Dev.       Min        Max
{hline 13}{c +}{hline 57}
b_mean_ura~z {c |}{res}         31    .0595004    .2510416   -.417368   .4158475

{txt}    Variable {c |}        Obs        Mean    Std. Dev.       Min        Max
{hline 13}{c +}{hline 57}
b_mean_tre~z {c |}{res}         64     .035052    .2298462  -.8851699    .443029

{txt}    Variable {c |}        Obs        Mean    Std. Dev.       Min        Max
{hline 13}{c +}{hline 57}
b_mean_tre~z {c |}{res}         31   -.0707876    .2331096  -.5113904   .3166978

{txt}    Variable {c |}        Obs        Mean    Std. Dev.       Min        Max
{hline 13}{c +}{hline 57}
b_mean_pat~z {c |}{res}         64    .0069231    .1839519  -.4307473   .4019528

{txt}    Variable {c |}        Obs        Mean    Std. Dev.       Min        Max
{hline 13}{c +}{hline 57}
b_mean_pat~z {c |}{res}         31   -.0113211    .2297368   -.452843   .4941942

{txt}    Variable {c |}        Obs        Mean    Std. Dev.       Min        Max
{hline 13}{c +}{hline 57}
b_mean_hea~z {c |}{res}         64   -.0001535    .2775861  -.6821173   .6415794

{txt}    Variable {c |}        Obs        Mean    Std. Dev.       Min        Max
{hline 13}{c +}{hline 57}
b_mean_hea~z {c |}{res}         31   -.0451717    .2139907  -.4560874   .4407872

{txt}    Variable {c |}        Obs        Mean    Std. Dev.       Min        Max
{hline 13}{c +}{hline 57}
b_mean_mo~05 {c |}{res}         64    .0500408    .0599317          0    .173241

{txt}    Variable {c |}        Obs        Mean    Std. Dev.       Min        Max
{hline 13}{c +}{hline 57}
b_mean_mo~05 {c |}{res}         31    .0174025    .0387263          0   .1505882

{txt}    Variable {c |}        Obs        Mean    Std. Dev.       Min        Max
{hline 13}{c +}{hline 57}
m_mean_com~z {c |}{res}         64   -.0049219    .2275299  -.6190066   .4411248

{txt}    Variable {c |}        Obs        Mean    Std. Dev.       Min        Max
{hline 13}{c +}{hline 57}
m_mean_com~z {c |}{res}         31    .0092661    .2019803  -.4909315   .4364768

{txt}    Variable {c |}        Obs        Mean    Std. Dev.       Min        Max
{hline 13}{c +}{hline 57}
m_mean_h_c~z {c |}{res}         64   -.0318959    .9071126  -2.968126   .3708001

{txt}    Variable {c |}        Obs        Mean    Std. Dev.       Min        Max
{hline 13}{c +}{hline 57}
m_mean_h_c~z {c |}{res}         31    .0658497     .593181   -1.67128   .3708001

{txt}    Variable {c |}        Obs        Mean    Std. Dev.       Min        Max
{hline 13}{c +}{hline 57}
m_mean_ura~z {c |}{res}         64   -.0401767    .3349451  -.8508181   .7712852

{txt}    Variable {c |}        Obs        Mean    Std. Dev.       Min        Max
{hline 13}{c +}{hline 57}
m_mean_ura~z {c |}{res}         31    .0448416    .2646769   -.503996   .5073676

{txt}    Variable {c |}        Obs        Mean    Std. Dev.       Min        Max
{hline 13}{c +}{hline 57}
m_mean_tre~z {c |}{res}         64     -.04551    .2472736  -.4616451   .5782964

{txt}    Variable {c |}        Obs        Mean    Std. Dev.       Min        Max
{hline 13}{c +}{hline 57}
m_mean_tre~z {c |}{res}         31    .0990379    .2622463  -.2904633   .6811811

{txt}    Variable {c |}        Obs        Mean    Std. Dev.       Min        Max
{hline 13}{c +}{hline 57}
m_mean_pat~z {c |}{res}         64    .0193334    .2021498  -.4526502   .3426265

{txt}    Variable {c |}        Obs        Mean    Std. Dev.       Min        Max
{hline 13}{c +}{hline 57}
m_mean_pat~z {c |}{res}         31   -.0325747    .2279199  -.5423324   .2607596

{txt}    Variable {c |}        Obs        Mean    Std. Dev.       Min        Max
{hline 13}{c +}{hline 57}
m_mean_hea~z {c |}{res}         64   -.0018982    .2021292  -.3574821   .5530595

{txt}    Variable {c |}        Obs        Mean    Std. Dev.       Min        Max
{hline 13}{c +}{hline 57}
m_mean_hea~z {c |}{res}         31   -.0008351    .1973723   -.410448   .3902869

{txt}    Variable {c |}        Obs        Mean    Std. Dev.       Min        Max
{hline 13}{c +}{hline 57}
m_mean_mo~05 {c |}{res}         64    .0595675    .0737126          0        .25

{txt}    Variable {c |}        Obs        Mean    Std. Dev.       Min        Max
{hline 13}{c +}{hline 57}
m_mean_mo~05 {c |}{res}         31    .0466582    .0649782          0        .25

{txt}    Variable {c |}        Obs        Mean    Std. Dev.       Min        Max
{hline 13}{c +}{hline 57}
e_mean_com~z {c |}{res}         64   -.0058737    .2678246  -.8689592   .4710755

{txt}    Variable {c |}        Obs        Mean    Std. Dev.       Min        Max
{hline 13}{c +}{hline 57}
e_mean_com~z {c |}{res}         31    .0140631    .2119283  -.4864353   .4837792

{txt}    Variable {c |}        Obs        Mean    Std. Dev.       Min        Max
{hline 13}{c +}{hline 57}
e_mean_h_c~z {c |}{res}         64   -.0196349    .6610015  -2.415095   .6535351

{txt}    Variable {c |}        Obs        Mean    Std. Dev.       Min        Max
{hline 13}{c +}{hline 57}
e_mean_h_c~z {c |}{res}         31    .0616185    .5491115  -1.729253   .6535351

{txt}    Variable {c |}        Obs        Mean    Std. Dev.       Min        Max
{hline 13}{c +}{hline 57}
e_mean_ura~z {c |}{res}         64   -.0513719    .3247148  -.7576532   .6220459

{txt}    Variable {c |}        Obs        Mean    Std. Dev.       Min        Max
{hline 13}{c +}{hline 57}
e_mean_ura~z {c |}{res}         31    .0510806    .3143569  -.6793194   .5136626

{txt}    Variable {c |}        Obs        Mean    Std. Dev.       Min        Max
{hline 13}{c +}{hline 57}
e_mean_tre~z {c |}{res}         64   -.0136679    .2480758  -.5852581   .5150306

{txt}    Variable {c |}        Obs        Mean    Std. Dev.       Min        Max
{hline 13}{c +}{hline 57}
e_mean_tre~z {c |}{res}         31    .0403447    .2045034  -.2924261   .5561786

{txt}    Variable {c |}        Obs        Mean    Std. Dev.       Min        Max
{hline 13}{c +}{hline 57}
e_mean_pat~z {c |}{res}         64    .0050008    .1889675  -.5303284   .3825586

{txt}    Variable {c |}        Obs        Mean    Std. Dev.       Min        Max
{hline 13}{c +}{hline 57}
e_mean_pat~z {c |}{res}         31   -.0070668    .1803235  -.3860991   .3111977

{txt}    Variable {c |}        Obs        Mean    Std. Dev.       Min        Max
{hline 13}{c +}{hline 57}
e_mean_hea~z {c |}{res}         64    .0326635    .2443003  -.3111738   1.016257

{txt}    Variable {c |}        Obs        Mean    Std. Dev.       Min        Max
{hline 13}{c +}{hline 57}
e_mean_hea~z {c |}{res}         31   -.0373812    .2206481  -.4749357   .5021811

{txt}    Variable {c |}        Obs        Mean    Std. Dev.       Min        Max
{hline 13}{c +}{hline 57}
e_mean_mo~05 {c |}{res}         64    .0610729    .0562553          0   .2125028

{txt}    Variable {c |}        Obs        Mean    Std. Dev.       Min        Max
{hline 13}{c +}{hline 57}
e_mean_mo~05 {c |}{res}         31    .0662292    .0564362          0   .1904762
{txt}
{com}.         
.         foreach indices in b_indices m_indices e_indices {c -(}
{txt}  2{com}.                 foreach var of local `indices' {c -(}
{txt}  3{com}.                         ttest `var', by(close)
{txt}  4{com}.                         local m_diff_`var' = `r(mu_1)' - `r(mu_2)'
{txt}  5{com}.                         local p_`var' = (2 * ttail(`r(df_t)', abs(`m_diff_`var''/`r(se)')))
{txt}  6{com}.                         local p_`var' = string(`p_`var'',"%9.3fc")
{txt}  7{com}.                         {c )-}
{txt}  8{com}.                 {c )-}

{txt}Two-sample t test with equal variances
{hline 9}{c TT}{hline 68}
   Group{col 10}{c |}{col 16}Obs{col 27}Mean{col 35}Std. Err.{col 47}Std. Dev.{col 59}[95% Conf. Interval]
{hline 9}{c +}{hline 68}
       0 {c |}{res}{col 12}     31{col 22} -.034315{col 34}  .062066{col 46} .3455691{col 58}-.1610707{col 70} .0924408
       {txt}1 {c |}{res}{col 12}     64{col 22} .0182377{col 34} .0430935{col 46}  .344748{col 58}-.0678778{col 70} .1043532
{txt}{hline 9}{c +}{hline 68}
combined {c |}{res}{col 12}     95{col 22} .0010889{col 34} .0353004{col 46} .3440658{col 58}-.0690009{col 70} .0711787
{txt}{hline 9}{c +}{hline 68}
    diff {c |}{res}{col 22}-.0525527{col 34} .0754964{col 58}-.2024737{col 70} .0973683
{txt}{hline 9}{c BT}{hline 68}
    diff = mean({res}0{txt}) - mean({res}1{txt})                                      t = {res} -0.6961
{txt}Ho: diff = 0                                     degrees of freedom = {res}      93

    {txt}Ha: diff < 0                 Ha: diff != 0                 Ha: diff > 0
 Pr(T < t) = {res}0.2441         {txt}Pr(|T| > |t|) = {res}0.4881          {txt}Pr(T > t) = {res}0.7559

{txt}Two-sample t test with equal variances
{hline 9}{c TT}{hline 68}
   Group{col 10}{c |}{col 16}Obs{col 27}Mean{col 35}Std. Err.{col 47}Std. Dev.{col 59}[95% Conf. Interval]
{hline 9}{c +}{hline 68}
       0 {c |}{res}{col 12}     31{col 22} .1420099{col 34} .1388212{col 46} .7729237{col 58}-.1415008{col 70} .4255206
       {txt}1 {c |}{res}{col 12}     64{col 22}-.0653442{col 34} .0978614{col 46} .7828914{col 58}-.2609046{col 70} .1302163
{txt}{hline 9}{c +}{hline 68}
combined {c |}{res}{col 12}     95{col 22} .0023187{col 34} .0801972{col 46}  .781666{col 58}-.1569148{col 70} .1615522
{txt}{hline 9}{c +}{hline 68}
    diff {c |}{res}{col 22} .2073541{col 34} .1706133{col 58}-.1314501{col 70} .5461583
{txt}{hline 9}{c BT}{hline 68}
    diff = mean({res}0{txt}) - mean({res}1{txt})                                      t = {res}  1.2153
{txt}Ho: diff = 0                                     degrees of freedom = {res}      93

    {txt}Ha: diff < 0                 Ha: diff != 0                 Ha: diff > 0
 Pr(T < t) = {res}0.8863         {txt}Pr(|T| > |t|) = {res}0.2273          {txt}Pr(T > t) = {res}0.1137

{txt}Two-sample t test with equal variances
{hline 9}{c TT}{hline 68}
   Group{col 10}{c |}{col 16}Obs{col 27}Mean{col 35}Std. Err.{col 47}Std. Dev.{col 59}[95% Conf. Interval]
{hline 9}{c +}{hline 68}
       0 {c |}{res}{col 12}     31{col 22} .0595004{col 34} .0450884{col 46} .2510416{col 58}-.0325824{col 70} .1515832
       {txt}1 {c |}{res}{col 12}     64{col 22} -.042737{col 34}  .037597{col 46} .3007757{col 58}-.1178685{col 70} .0323946
{txt}{hline 9}{c +}{hline 68}
combined {c |}{res}{col 12}     95{col 22}-.0093753{col 34} .0295701{col 46} .2882137{col 58}-.0680874{col 70} .0493368
{txt}{hline 9}{c +}{hline 68}
    diff {c |}{res}{col 22} .1022373{col 34} .0625131{col 58}-.0219013{col 70} .2263759
{txt}{hline 9}{c BT}{hline 68}
    diff = mean({res}0{txt}) - mean({res}1{txt})                                      t = {res}  1.6355
{txt}Ho: diff = 0                                     degrees of freedom = {res}      93

    {txt}Ha: diff < 0                 Ha: diff != 0                 Ha: diff > 0
 Pr(T < t) = {res}0.9473         {txt}Pr(|T| > |t|) = {res}0.1053          {txt}Pr(T > t) = {res}0.0527

{txt}Two-sample t test with equal variances
{hline 9}{c TT}{hline 68}
   Group{col 10}{c |}{col 16}Obs{col 27}Mean{col 35}Std. Err.{col 47}Std. Dev.{col 59}[95% Conf. Interval]
{hline 9}{c +}{hline 68}
       0 {c |}{res}{col 12}     31{col 22}-.0707876{col 34} .0418677{col 46} .2331096{col 58}-.1562929{col 70} .0147177
       {txt}1 {c |}{res}{col 12}     64{col 22}  .035052{col 34} .0287308{col 46} .2298462{col 58}-.0223619{col 70} .0924659
{txt}{hline 9}{c +}{hline 68}
combined {c |}{res}{col 12}     95{col 22} .0005149{col 34} .0241134{col 46} .2350282{col 58}-.0473628{col 70} .0483925
{txt}{hline 9}{c +}{hline 68}
    diff {c |}{res}{col 22}-.1058396{col 34} .0505269{col 58}-.2061759{col 70}-.0055032
{txt}{hline 9}{c BT}{hline 68}
    diff = mean({res}0{txt}) - mean({res}1{txt})                                      t = {res} -2.0947
{txt}Ho: diff = 0                                     degrees of freedom = {res}      93

    {txt}Ha: diff < 0                 Ha: diff != 0                 Ha: diff > 0
 Pr(T < t) = {res}0.0195         {txt}Pr(|T| > |t|) = {res}0.0389          {txt}Pr(T > t) = {res}0.9805

{txt}Two-sample t test with equal variances
{hline 9}{c TT}{hline 68}
   Group{col 10}{c |}{col 16}Obs{col 27}Mean{col 35}Std. Err.{col 47}Std. Dev.{col 59}[95% Conf. Interval]
{hline 9}{c +}{hline 68}
       0 {c |}{res}{col 12}     31{col 22}-.0113211{col 34} .0412619{col 46} .2297368{col 58}-.0955893{col 70}  .072947
       {txt}1 {c |}{res}{col 12}     64{col 22} .0069231{col 34}  .022994{col 46} .1839519{col 58}-.0390267{col 70} .0528729
{txt}{hline 9}{c +}{hline 68}
combined {c |}{res}{col 12}     95{col 22} .0009697{col 34}  .020416{col 46} .1989904{col 58}-.0395667{col 70} .0415061
{txt}{hline 9}{c +}{hline 68}
    diff {c |}{res}{col 22}-.0182442{col 34} .0437361{col 58}-.1050954{col 70} .0686069
{txt}{hline 9}{c BT}{hline 68}
    diff = mean({res}0{txt}) - mean({res}1{txt})                                      t = {res} -0.4171
{txt}Ho: diff = 0                                     degrees of freedom = {res}      93

    {txt}Ha: diff < 0                 Ha: diff != 0                 Ha: diff > 0
 Pr(T < t) = {res}0.3388         {txt}Pr(|T| > |t|) = {res}0.6775          {txt}Pr(T > t) = {res}0.6612

{txt}Two-sample t test with equal variances
{hline 9}{c TT}{hline 68}
   Group{col 10}{c |}{col 16}Obs{col 27}Mean{col 35}Std. Err.{col 47}Std. Dev.{col 59}[95% Conf. Interval]
{hline 9}{c +}{hline 68}
       0 {c |}{res}{col 12}     31{col 22}-.0451717{col 34} .0384339{col 46} .2139907{col 58}-.1236642{col 70} .0333207
       {txt}1 {c |}{res}{col 12}     64{col 22}-.0001535{col 34} .0346983{col 46} .2775861{col 58}-.0694924{col 70} .0691855
{txt}{hline 9}{c +}{hline 68}
combined {c |}{res}{col 12}     95{col 22}-.0148436{col 34} .0264987{col 46} .2582777{col 58}-.0674575{col 70} .0377702
{txt}{hline 9}{c +}{hline 68}
    diff {c |}{res}{col 22}-.0450183{col 34} .0566278{col 58}-.1574699{col 70} .0674333
{txt}{hline 9}{c BT}{hline 68}
    diff = mean({res}0{txt}) - mean({res}1{txt})                                      t = {res} -0.7950
{txt}Ho: diff = 0                                     degrees of freedom = {res}      93

    {txt}Ha: diff < 0                 Ha: diff != 0                 Ha: diff > 0
 Pr(T < t) = {res}0.2143         {txt}Pr(|T| > |t|) = {res}0.4286          {txt}Pr(T > t) = {res}0.7857

{txt}Two-sample t test with equal variances
{hline 9}{c TT}{hline 68}
   Group{col 10}{c |}{col 16}Obs{col 27}Mean{col 35}Std. Err.{col 47}Std. Dev.{col 59}[95% Conf. Interval]
{hline 9}{c +}{hline 68}
       0 {c |}{res}{col 12}     31{col 22} .0174025{col 34} .0069554{col 46} .0387263{col 58} .0031976{col 70} .0316074
       {txt}1 {c |}{res}{col 12}     64{col 22} .0500408{col 34} .0074915{col 46} .0599317{col 58} .0350703{col 70} .0650112
{txt}{hline 9}{c +}{hline 68}
combined {c |}{res}{col 12}     95{col 22} .0393904{col 34} .0057332{col 46}   .05588{col 58}  .028007{col 70} .0507737
{txt}{hline 9}{c +}{hline 68}
    diff {c |}{res}{col 22}-.0326383{col 34} .0118183{col 58} -.056107{col 70}-.0091695
{txt}{hline 9}{c BT}{hline 68}
    diff = mean({res}0{txt}) - mean({res}1{txt})                                      t = {res} -2.7617
{txt}Ho: diff = 0                                     degrees of freedom = {res}      93

    {txt}Ha: diff < 0                 Ha: diff != 0                 Ha: diff > 0
 Pr(T < t) = {res}0.0035         {txt}Pr(|T| > |t|) = {res}0.0069          {txt}Pr(T > t) = {res}0.9965

{txt}Two-sample t test with equal variances
{hline 9}{c TT}{hline 68}
   Group{col 10}{c |}{col 16}Obs{col 27}Mean{col 35}Std. Err.{col 47}Std. Dev.{col 59}[95% Conf. Interval]
{hline 9}{c +}{hline 68}
       0 {c |}{res}{col 12}     31{col 22} .0092661{col 34} .0362767{col 46} .2019803{col 58}-.0648209{col 70} .0833531
       {txt}1 {c |}{res}{col 12}     64{col 22}-.0049219{col 34} .0284412{col 46} .2275299{col 58}-.0617572{col 70} .0519134
{txt}{hline 9}{c +}{hline 68}
combined {c |}{res}{col 12}     95{col 22}-.0002921{col 34} .0224222{col 46} .2185442{col 58}-.0448118{col 70} .0442276
{txt}{hline 9}{c +}{hline 68}
    diff {c |}{res}{col 22}  .014188{col 34} .0480562{col 58}-.0812421{col 70} .1096181
{txt}{hline 9}{c BT}{hline 68}
    diff = mean({res}0{txt}) - mean({res}1{txt})                                      t = {res}  0.2952
{txt}Ho: diff = 0                                     degrees of freedom = {res}      93

    {txt}Ha: diff < 0                 Ha: diff != 0                 Ha: diff > 0
 Pr(T < t) = {res}0.6158         {txt}Pr(|T| > |t|) = {res}0.7685          {txt}Pr(T > t) = {res}0.3842

{txt}Two-sample t test with equal variances
{hline 9}{c TT}{hline 68}
   Group{col 10}{c |}{col 16}Obs{col 27}Mean{col 35}Std. Err.{col 47}Std. Dev.{col 59}[95% Conf. Interval]
{hline 9}{c +}{hline 68}
       0 {c |}{res}{col 12}     31{col 22} .0658497{col 34} .1065385{col 46}  .593181{col 58}-.1517308{col 70} .2834303
       {txt}1 {c |}{res}{col 12}     64{col 22}-.0318959{col 34} .1133891{col 46} .9071126{col 58}-.2584859{col 70} .1946941
{txt}{hline 9}{c +}{hline 68}
combined {c |}{res}{col 12}     95{col 22} 2.70e-08{col 34}  .083723{col 46} .8160309{col 58} -.166234{col 70}  .166234
{txt}{hline 9}{c +}{hline 68}
    diff {c |}{res}{col 22} .0977457{col 34} .1792366{col 58}-.2581827{col 70}  .453674
{txt}{hline 9}{c BT}{hline 68}
    diff = mean({res}0{txt}) - mean({res}1{txt})                                      t = {res}  0.5453
{txt}Ho: diff = 0                                     degrees of freedom = {res}      93

    {txt}Ha: diff < 0                 Ha: diff != 0                 Ha: diff > 0
 Pr(T < t) = {res}0.7066         {txt}Pr(|T| > |t|) = {res}0.5868          {txt}Pr(T > t) = {res}0.2934

{txt}Two-sample t test with equal variances
{hline 9}{c TT}{hline 68}
   Group{col 10}{c |}{col 16}Obs{col 27}Mean{col 35}Std. Err.{col 47}Std. Dev.{col 59}[95% Conf. Interval]
{hline 9}{c +}{hline 68}
       0 {c |}{res}{col 12}     31{col 22} .0448416{col 34} .0475374{col 46} .2646769{col 58}-.0522427{col 70} .1419259
       {txt}1 {c |}{res}{col 12}     64{col 22}-.0401767{col 34} .0418681{col 46} .3349451{col 58}-.1238435{col 70} .0434901
{txt}{hline 9}{c +}{hline 68}
combined {c |}{res}{col 12}     95{col 22}-.0124339{col 34} .0323067{col 46} .3148865{col 58}-.0765795{col 70} .0517118
{txt}{hline 9}{c +}{hline 68}
    diff {c |}{res}{col 22} .0850183{col 34} .0687103{col 58}-.0514267{col 70} .2214633
{txt}{hline 9}{c BT}{hline 68}
    diff = mean({res}0{txt}) - mean({res}1{txt})                                      t = {res}  1.2373
{txt}Ho: diff = 0                                     degrees of freedom = {res}      93

    {txt}Ha: diff < 0                 Ha: diff != 0                 Ha: diff > 0
 Pr(T < t) = {res}0.8905         {txt}Pr(|T| > |t|) = {res}0.2191          {txt}Pr(T > t) = {res}0.1095

{txt}Two-sample t test with equal variances
{hline 9}{c TT}{hline 68}
   Group{col 10}{c |}{col 16}Obs{col 27}Mean{col 35}Std. Err.{col 47}Std. Dev.{col 59}[95% Conf. Interval]
{hline 9}{c +}{hline 68}
       0 {c |}{res}{col 12}     31{col 22} .0990379{col 34} .0471008{col 46} .2622463{col 58} .0028452{col 70} .1952306
       {txt}1 {c |}{res}{col 12}     64{col 22}  -.04551{col 34} .0309092{col 46} .2472736{col 58}-.1072771{col 70} .0162571
{txt}{hline 9}{c +}{hline 68}
combined {c |}{res}{col 12}     95{col 22} .0016582{col 34} .0266696{col 46} .2599434{col 58} -.051295{col 70} .0546114
{txt}{hline 9}{c +}{hline 68}
    diff {c |}{res}{col 22} .1445479{col 34}  .055187{col 58} .0349574{col 70} .2541384
{txt}{hline 9}{c BT}{hline 68}
    diff = mean({res}0{txt}) - mean({res}1{txt})                                      t = {res}  2.6192
{txt}Ho: diff = 0                                     degrees of freedom = {res}      93

    {txt}Ha: diff < 0                 Ha: diff != 0                 Ha: diff > 0
 Pr(T < t) = {res}0.9949         {txt}Pr(|T| > |t|) = {res}0.0103          {txt}Pr(T > t) = {res}0.0051

{txt}Two-sample t test with equal variances
{hline 9}{c TT}{hline 68}
   Group{col 10}{c |}{col 16}Obs{col 27}Mean{col 35}Std. Err.{col 47}Std. Dev.{col 59}[95% Conf. Interval]
{hline 9}{c +}{hline 68}
       0 {c |}{res}{col 12}     31{col 22}-.0325747{col 34} .0409356{col 46} .2279199{col 58}-.1161763{col 70}  .051027
       {txt}1 {c |}{res}{col 12}     64{col 22} .0193334{col 34} .0252687{col 46} .2021498{col 58}-.0311621{col 70} .0698289
{txt}{hline 9}{c +}{hline 68}
combined {c |}{res}{col 12}     95{col 22}  .002395{col 34}  .021659{col 46} .2111055{col 58}-.0406094{col 70} .0453994
{txt}{hline 9}{c +}{hline 68}
    diff {c |}{res}{col 22}-.0519081{col 34} .0461292{col 58}-.1435116{col 70} .0396955
{txt}{hline 9}{c BT}{hline 68}
    diff = mean({res}0{txt}) - mean({res}1{txt})                                      t = {res} -1.1253
{txt}Ho: diff = 0                                     degrees of freedom = {res}      93

    {txt}Ha: diff < 0                 Ha: diff != 0                 Ha: diff > 0
 Pr(T < t) = {res}0.1317         {txt}Pr(|T| > |t|) = {res}0.2634          {txt}Pr(T > t) = {res}0.8683

{txt}Two-sample t test with equal variances
{hline 9}{c TT}{hline 68}
   Group{col 10}{c |}{col 16}Obs{col 27}Mean{col 35}Std. Err.{col 47}Std. Dev.{col 59}[95% Conf. Interval]
{hline 9}{c +}{hline 68}
       0 {c |}{res}{col 12}     31{col 22}-.0008351{col 34} .0354491{col 46} .1973723{col 58}-.0732318{col 70} .0715617
       {txt}1 {c |}{res}{col 12}     64{col 22}-.0018982{col 34} .0252661{col 46} .2021292{col 58}-.0523885{col 70} .0485922
{txt}{hline 9}{c +}{hline 68}
combined {c |}{res}{col 12}     95{col 22}-.0015513{col 34} .0204721{col 46} .1995378{col 58}-.0421992{col 70} .0390967
{txt}{hline 9}{c +}{hline 68}
    diff {c |}{res}{col 22} .0010631{col 34} .0438972{col 58}-.0861081{col 70} .0882343
{txt}{hline 9}{c BT}{hline 68}
    diff = mean({res}0{txt}) - mean({res}1{txt})                                      t = {res}  0.0242
{txt}Ho: diff = 0                                     degrees of freedom = {res}      93

    {txt}Ha: diff < 0                 Ha: diff != 0                 Ha: diff > 0
 Pr(T < t) = {res}0.5096         {txt}Pr(|T| > |t|) = {res}0.9807          {txt}Pr(T > t) = {res}0.4904

{txt}Two-sample t test with equal variances
{hline 9}{c TT}{hline 68}
   Group{col 10}{c |}{col 16}Obs{col 27}Mean{col 35}Std. Err.{col 47}Std. Dev.{col 59}[95% Conf. Interval]
{hline 9}{c +}{hline 68}
       0 {c |}{res}{col 12}     31{col 22} .0466582{col 34} .0116704{col 46} .0649782{col 58}  .022824{col 70} .0704924
       {txt}1 {c |}{res}{col 12}     64{col 22} .0595675{col 34} .0092141{col 46} .0737126{col 58} .0411546{col 70} .0779804
{txt}{hline 9}{c +}{hline 68}
combined {c |}{res}{col 12}     95{col 22}  .055355{col 34} .0072737{col 46} .0708954{col 58} .0409128{col 70} .0697971
{txt}{hline 9}{c +}{hline 68}
    diff {c |}{res}{col 22}-.0129093{col 34} .0155391{col 58}-.0437669{col 70} .0179483
{txt}{hline 9}{c BT}{hline 68}
    diff = mean({res}0{txt}) - mean({res}1{txt})                                      t = {res} -0.8308
{txt}Ho: diff = 0                                     degrees of freedom = {res}      93

    {txt}Ha: diff < 0                 Ha: diff != 0                 Ha: diff > 0
 Pr(T < t) = {res}0.2041         {txt}Pr(|T| > |t|) = {res}0.4082          {txt}Pr(T > t) = {res}0.7959

{txt}Two-sample t test with equal variances
{hline 9}{c TT}{hline 68}
   Group{col 10}{c |}{col 16}Obs{col 27}Mean{col 35}Std. Err.{col 47}Std. Dev.{col 59}[95% Conf. Interval]
{hline 9}{c +}{hline 68}
       0 {c |}{res}{col 12}     31{col 22} .0140631{col 34} .0380635{col 46} .2119283{col 58}-.0636728{col 70} .0917991
       {txt}1 {c |}{res}{col 12}     64{col 22}-.0058737{col 34} .0334781{col 46} .2678246{col 58}-.0727743{col 70} .0610269
{txt}{hline 9}{c +}{hline 68}
combined {c |}{res}{col 12}     95{col 22}  .000632{col 34} .0256488{col 46} .2499936{col 58}-.0502943{col 70} .0515583
{txt}{hline 9}{c +}{hline 68}
    diff {c |}{res}{col 22} .0199369{col 34} .0549586{col 58}-.0891999{col 70} .1290737
{txt}{hline 9}{c BT}{hline 68}
    diff = mean({res}0{txt}) - mean({res}1{txt})                                      t = {res}  0.3628
{txt}Ho: diff = 0                                     degrees of freedom = {res}      93

    {txt}Ha: diff < 0                 Ha: diff != 0                 Ha: diff > 0
 Pr(T < t) = {res}0.6412         {txt}Pr(|T| > |t|) = {res}0.7176          {txt}Pr(T > t) = {res}0.3588

{txt}Two-sample t test with equal variances
{hline 9}{c TT}{hline 68}
   Group{col 10}{c |}{col 16}Obs{col 27}Mean{col 35}Std. Err.{col 47}Std. Dev.{col 59}[95% Conf. Interval]
{hline 9}{c +}{hline 68}
       0 {c |}{res}{col 12}     31{col 22} .0616185{col 34} .0986233{col 46} .5491115{col 58}-.1397972{col 70} .2630342
       {txt}1 {c |}{res}{col 12}     64{col 22}-.0196349{col 34} .0826252{col 46} .6610015{col 58}-.1847482{col 70} .1454783
{txt}{hline 9}{c +}{hline 68}
combined {c |}{res}{col 12}     95{col 22} .0068793{col 34} .0641158{col 46} .6249232{col 58} -.120424{col 70} .1341827
{txt}{hline 9}{c +}{hline 68}
    diff {c |}{res}{col 22} .0812534{col 34} .1372217{col 58}-.1912418{col 70} .3537486
{txt}{hline 9}{c BT}{hline 68}
    diff = mean({res}0{txt}) - mean({res}1{txt})                                      t = {res}  0.5921
{txt}Ho: diff = 0                                     degrees of freedom = {res}      93

    {txt}Ha: diff < 0                 Ha: diff != 0                 Ha: diff > 0
 Pr(T < t) = {res}0.7224         {txt}Pr(|T| > |t|) = {res}0.5552          {txt}Pr(T > t) = {res}0.2776

{txt}Two-sample t test with equal variances
{hline 9}{c TT}{hline 68}
   Group{col 10}{c |}{col 16}Obs{col 27}Mean{col 35}Std. Err.{col 47}Std. Dev.{col 59}[95% Conf. Interval]
{hline 9}{c +}{hline 68}
       0 {c |}{res}{col 12}     31{col 22} .0510806{col 34} .0564602{col 46} .3143569{col 58}-.0642264{col 70} .1663876
       {txt}1 {c |}{res}{col 12}     64{col 22}-.0513719{col 34} .0405894{col 46} .3247148{col 58}-.1324833{col 70} .0297394
{txt}{hline 9}{c +}{hline 68}
combined {c |}{res}{col 12}     95{col 22}-.0179401{col 34} .0331722{col 46} .3233225{col 58}-.0838042{col 70} .0479241
{txt}{hline 9}{c +}{hline 68}
    diff {c |}{res}{col 22} .1024525{col 34} .0703316{col 58}-.0372121{col 70} .2421171
{txt}{hline 9}{c BT}{hline 68}
    diff = mean({res}0{txt}) - mean({res}1{txt})                                      t = {res}  1.4567
{txt}Ho: diff = 0                                     degrees of freedom = {res}      93

    {txt}Ha: diff < 0                 Ha: diff != 0                 Ha: diff > 0
 Pr(T < t) = {res}0.9257         {txt}Pr(|T| > |t|) = {res}0.1486          {txt}Pr(T > t) = {res}0.0743

{txt}Two-sample t test with equal variances
{hline 9}{c TT}{hline 68}
   Group{col 10}{c |}{col 16}Obs{col 27}Mean{col 35}Std. Err.{col 47}Std. Dev.{col 59}[95% Conf. Interval]
{hline 9}{c +}{hline 68}
       0 {c |}{res}{col 12}     31{col 22} .0403447{col 34} .0367299{col 46} .2045034{col 58}-.0346678{col 70} .1153572
       {txt}1 {c |}{res}{col 12}     64{col 22}-.0136679{col 34} .0310095{col 46} .2480758{col 58}-.0756354{col 70} .0482996
{txt}{hline 9}{c +}{hline 68}
combined {c |}{res}{col 12}     95{col 22} .0039573{col 34} .0241141{col 46}  .235035{col 58}-.0439218{col 70} .0518363
{txt}{hline 9}{c +}{hline 68}
    diff {c |}{res}{col 22} .0540126{col 34} .0514024{col 58}-.0480623{col 70} .1560875
{txt}{hline 9}{c BT}{hline 68}
    diff = mean({res}0{txt}) - mean({res}1{txt})                                      t = {res}  1.0508
{txt}Ho: diff = 0                                     degrees of freedom = {res}      93

    {txt}Ha: diff < 0                 Ha: diff != 0                 Ha: diff > 0
 Pr(T < t) = {res}0.8520         {txt}Pr(|T| > |t|) = {res}0.2961          {txt}Pr(T > t) = {res}0.1480

{txt}Two-sample t test with equal variances
{hline 9}{c TT}{hline 68}
   Group{col 10}{c |}{col 16}Obs{col 27}Mean{col 35}Std. Err.{col 47}Std. Dev.{col 59}[95% Conf. Interval]
{hline 9}{c +}{hline 68}
       0 {c |}{res}{col 12}     31{col 22}-.0070668{col 34} .0323871{col 46} .1803235{col 58}-.0732101{col 70} .0590764
       {txt}1 {c |}{res}{col 12}     64{col 22} .0050008{col 34} .0236209{col 46} .1889675{col 58}-.0422019{col 70} .0522035
{txt}{hline 9}{c +}{hline 68}
combined {c |}{res}{col 12}     95{col 22} .0010629{col 34} .0190131{col 46} .1853171{col 58}-.0366881{col 70} .0388139
{txt}{hline 9}{c +}{hline 68}
    diff {c |}{res}{col 22}-.0120676{col 34} .0407497{col 58}-.0929884{col 70} .0688532
{txt}{hline 9}{c BT}{hline 68}
    diff = mean({res}0{txt}) - mean({res}1{txt})                                      t = {res} -0.2961
{txt}Ho: diff = 0                                     degrees of freedom = {res}      93

    {txt}Ha: diff < 0                 Ha: diff != 0                 Ha: diff > 0
 Pr(T < t) = {res}0.3839         {txt}Pr(|T| > |t|) = {res}0.7678          {txt}Pr(T > t) = {res}0.6161

{txt}Two-sample t test with equal variances
{hline 9}{c TT}{hline 68}
   Group{col 10}{c |}{col 16}Obs{col 27}Mean{col 35}Std. Err.{col 47}Std. Dev.{col 59}[95% Conf. Interval]
{hline 9}{c +}{hline 68}
       0 {c |}{res}{col 12}     31{col 22}-.0373812{col 34} .0396296{col 46} .2206481{col 58}-.1183156{col 70} .0435531
       {txt}1 {c |}{res}{col 12}     64{col 22} .0326635{col 34} .0305375{col 46} .2443003{col 58}-.0283609{col 70} .0936879
{txt}{hline 9}{c +}{hline 68}
combined {c |}{res}{col 12}     95{col 22} .0098068{col 34} .0244148{col 46} .2379665{col 58}-.0386694{col 70}  .058283
{txt}{hline 9}{c +}{hline 68}
    diff {c |}{res}{col 22}-.0700447{col 34} .0518452{col 58} -.172999{col 70} .0329096
{txt}{hline 9}{c BT}{hline 68}
    diff = mean({res}0{txt}) - mean({res}1{txt})                                      t = {res} -1.3510
{txt}Ho: diff = 0                                     degrees of freedom = {res}      93

    {txt}Ha: diff < 0                 Ha: diff != 0                 Ha: diff > 0
 Pr(T < t) = {res}0.0900         {txt}Pr(|T| > |t|) = {res}0.1800          {txt}Pr(T > t) = {res}0.9100

{txt}Two-sample t test with equal variances
{hline 9}{c TT}{hline 68}
   Group{col 10}{c |}{col 16}Obs{col 27}Mean{col 35}Std. Err.{col 47}Std. Dev.{col 59}[95% Conf. Interval]
{hline 9}{c +}{hline 68}
       0 {c |}{res}{col 12}     31{col 22} .0662292{col 34} .0101362{col 46} .0564362{col 58} .0455283{col 70} .0869302
       {txt}1 {c |}{res}{col 12}     64{col 22} .0610729{col 34} .0070319{col 46} .0562553{col 58} .0470208{col 70} .0751251
{txt}{hline 9}{c +}{hline 68}
combined {c |}{res}{col 12}     95{col 22} .0627555{col 34} .0057523{col 46} .0560661{col 58} .0513343{col 70} .0741768
{txt}{hline 9}{c +}{hline 68}
    diff {c |}{res}{col 22} .0051563{col 34} .0123227{col 58}-.0193141{col 70} .0296267
{txt}{hline 9}{c BT}{hline 68}
    diff = mean({res}0{txt}) - mean({res}1{txt})                                      t = {res}  0.4184
{txt}Ho: diff = 0                                     degrees of freedom = {res}      93

    {txt}Ha: diff < 0                 Ha: diff != 0                 Ha: diff > 0
 Pr(T < t) = {res}0.6617         {txt}Pr(|T| > |t|) = {res}0.6766          {txt}Pr(T > t) = {res}0.3383
{txt}
{com}.                 
.         * We calculate the mean and p-values of the difference
.         
.         foreach indices in m_indices_d e_indices_d {c -(}
{txt}  2{com}.                 foreach var of local `indices' {c -(} 
{txt}  3{com}.                         sum `var' if close == 1
{txt}  4{com}.                         local cl_`var' `r(mean)'
{txt}  5{com}.                         local cl_`var' = string(`cl_`var'',"%9.3fc")
{txt}  6{com}.                         sum `var' if close == 0
{txt}  7{com}.                         local fr_`var' `r(mean)'
{txt}  8{com}.                         local fr_`var' = string(`fr_`var'',"%9.3fc")
{txt}  9{com}.                         {c )-}
{txt} 10{com}.                 {c )-}

{txt}    Variable {c |}        Obs        Mean    Std. Dev.       Min        Max
{hline 13}{c +}{hline 57}
m_diff_com~z {c |}{res}         64   -.0231596    .3494814  -.5820615   1.068257

{txt}    Variable {c |}        Obs        Mean    Std. Dev.       Min        Max
{hline 13}{c +}{hline 57}
m_diff_com~z {c |}{res}         31    .0435811    .3159528  -.7666152   .5842698

{txt}    Variable {c |}        Obs        Mean    Std. Dev.       Min        Max
{hline 13}{c +}{hline 57}
m_diff_h_c~z {c |}{res}         64    .0361172    1.176564  -3.716495   1.989156

{txt}    Variable {c |}        Obs        Mean    Std. Dev.       Min        Max
{hline 13}{c +}{hline 57}
m_diff_h_c~z {c |}{res}         31   -.0745646    .9987595  -1.674415   1.989156

{txt}    Variable {c |}        Obs        Mean    Std. Dev.       Min        Max
{hline 13}{c +}{hline 57}
m_diff_ura~z {c |}{res}         64    .0059345    .1748613  -.3940524   .4259651

{txt}    Variable {c |}        Obs        Mean    Std. Dev.       Min        Max
{hline 13}{c +}{hline 57}
m_diff_ura~z {c |}{res}         31   -.0109693    .1609643  -.3074511   .2631427

{txt}    Variable {c |}        Obs        Mean    Std. Dev.       Min        Max
{hline 13}{c +}{hline 57}
m_diff_tre~z {c |}{res}         64   -.0816307    .3211562   -.881269   .6785032

{txt}    Variable {c |}        Obs        Mean    Std. Dev.       Min        Max
{hline 13}{c +}{hline 57}
m_diff_tre~z {c |}{res}         31     .170674    .3061975  -.3254654   1.066471

{txt}    Variable {c |}        Obs        Mean    Std. Dev.       Min        Max
{hline 13}{c +}{hline 57}
m_diff_pat~z {c |}{res}         64    .0124103    .2282714  -.4643149   .5315368

{txt}    Variable {c |}        Obs        Mean    Std. Dev.       Min        Max
{hline 13}{c +}{hline 57}
m_diff_pat~z {c |}{res}         31   -.0212535    .2654941  -.7296924   .4811925

{txt}    Variable {c |}        Obs        Mean    Std. Dev.       Min        Max
{hline 13}{c +}{hline 57}
m_diff_hea~z {c |}{res}         64   -.0701277    .3367126   -.644888   .7707491

{txt}    Variable {c |}        Obs        Mean    Std. Dev.       Min        Max
{hline 13}{c +}{hline 57}
m_diff_hea~z {c |}{res}         31   -.0344653    .3107612  -.5780804   .6532465

{txt}    Variable {c |}        Obs        Mean    Std. Dev.       Min        Max
{hline 13}{c +}{hline 57}
m_diff_mo~05 {c |}{res}         64    .0095267    .0876909  -.1515152      .2125

{txt}    Variable {c |}        Obs        Mean    Std. Dev.       Min        Max
{hline 13}{c +}{hline 57}
m_diff_mo~05 {c |}{res}         31    .0292557    .0755292        -.1        .25

{txt}    Variable {c |}        Obs        Mean    Std. Dev.       Min        Max
{hline 13}{c +}{hline 57}
e_diff_com~z {c |}{res}         64   -.0241114    .3556815  -.8631517   1.068721

{txt}    Variable {c |}        Obs        Mean    Std. Dev.       Min        Max
{hline 13}{c +}{hline 57}
e_diff_com~z {c |}{res}         31    .0483781    .3651365  -.7621189   .7136575

{txt}    Variable {c |}        Obs        Mean    Std. Dev.       Min        Max
{hline 13}{c +}{hline 57}
e_diff_h_c~z {c |}{res}         64    .0457093    .9737285  -2.165265   2.261416

{txt}    Variable {c |}        Obs        Mean    Std. Dev.       Min        Max
{hline 13}{c +}{hline 57}
e_diff_h_c~z {c |}{res}         31   -.0803914     .836274  -1.684544   2.261416

{txt}    Variable {c |}        Obs        Mean    Std. Dev.       Min        Max
{hline 13}{c +}{hline 57}
e_diff_ura~z {c |}{res}         64    -.008635    .1627865  -.5335285    .265404

{txt}    Variable {c |}        Obs        Mean    Std. Dev.       Min        Max
{hline 13}{c +}{hline 57}
e_diff_ura~z {c |}{res}         31   -.0084198    .1722473  -.3792813   .2977736

{txt}    Variable {c |}        Obs        Mean    Std. Dev.       Min        Max
{hline 13}{c +}{hline 57}
e_diff_tre~z {c |}{res}         64   -.0487199    .2693441  -.5884736   .6651078

{txt}    Variable {c |}        Obs        Mean    Std. Dev.       Min        Max
{hline 13}{c +}{hline 57}
e_diff_tre~z {c |}{res}         31    .1111323    .2713362  -.4130641   .8747449

{txt}    Variable {c |}        Obs        Mean    Std. Dev.       Min        Max
{hline 13}{c +}{hline 57}
e_diff_pat~z {c |}{res}         64   -.0019223    .2081474  -.4405592   .6867285

{txt}    Variable {c |}        Obs        Mean    Std. Dev.       Min        Max
{hline 13}{c +}{hline 57}
e_diff_pat~z {c |}{res}         31    .0042543    .2475985  -.7258548   .5524638

{txt}    Variable {c |}        Obs        Mean    Std. Dev.       Min        Max
{hline 13}{c +}{hline 57}
e_diff_hea~z {c |}{res}         64    .0328169     .324063  -.7674192   .7484108

{txt}    Variable {c |}        Obs        Mean    Std. Dev.       Min        Max
{hline 13}{c +}{hline 57}
e_diff_hea~z {c |}{res}         31    .0077905    .2817533  -.6306629   .5664951

{txt}    Variable {c |}        Obs        Mean    Std. Dev.       Min        Max
{hline 13}{c +}{hline 57}
e_diff_mo~05 {c |}{res}         64    .0110322    .0771275  -.1428571   .2125028

{txt}    Variable {c |}        Obs        Mean    Std. Dev.       Min        Max
{hline 13}{c +}{hline 57}
e_diff_mo~05 {c |}{res}         31    .0488268    .0695517  -.0615613   .1904762
{txt}
{com}.         
.         foreach indices in m_indices_d e_indices_d {c -(}
{txt}  2{com}.                 foreach var of local `indices' {c -(}
{txt}  3{com}.                         ttest `var', by(close)
{txt}  4{com}.                         local m_diff_`var' = `r(mu_1)' - `r(mu_2)'
{txt}  5{com}.                         local p_`var' = (2 * ttail(`r(df_t)', abs(`m_diff_`var''/`r(se)')))
{txt}  6{com}.                         local p_`var' = string(`p_`var'',"%9.3fc")
{txt}  7{com}.                         {c )-}
{txt}  8{com}.                 {c )-}

{txt}Two-sample t test with equal variances
{hline 9}{c TT}{hline 68}
   Group{col 10}{c |}{col 16}Obs{col 27}Mean{col 35}Std. Err.{col 47}Std. Dev.{col 59}[95% Conf. Interval]
{hline 9}{c +}{hline 68}
       0 {c |}{res}{col 12}     31{col 22} .0435811{col 34} .0567468{col 46} .3159528{col 58}-.0723113{col 70} .1594735
       {txt}1 {c |}{res}{col 12}     64{col 22}-.0231596{col 34} .0436852{col 46} .3494814{col 58}-.1104574{col 70} .0641383
{txt}{hline 9}{c +}{hline 68}
combined {c |}{res}{col 12}     95{col 22} -.001381{col 34} .0347483{col 46} .3386842{col 58}-.0703745{col 70} .0676125
{txt}{hline 9}{c +}{hline 68}
    diff {c |}{res}{col 22} .0667407{col 34} .0741868{col 58}-.0805797{col 70}  .214061
{txt}{hline 9}{c BT}{hline 68}
    diff = mean({res}0{txt}) - mean({res}1{txt})                                      t = {res}  0.8996
{txt}Ho: diff = 0                                     degrees of freedom = {res}      93

    {txt}Ha: diff < 0                 Ha: diff != 0                 Ha: diff > 0
 Pr(T < t) = {res}0.8147         {txt}Pr(|T| > |t|) = {res}0.3706          {txt}Pr(T > t) = {res}0.1853

{txt}Two-sample t test with equal variances
{hline 9}{c TT}{hline 68}
   Group{col 10}{c |}{col 16}Obs{col 27}Mean{col 35}Std. Err.{col 47}Std. Dev.{col 59}[95% Conf. Interval]
{hline 9}{c +}{hline 68}
       0 {c |}{res}{col 12}     31{col 22}-.0745646{col 34} .1793825{col 46} .9987595{col 58}-.4409125{col 70} .2917834
       {txt}1 {c |}{res}{col 12}     64{col 22} .0361172{col 34} .1470705{col 46} 1.176564{col 58}-.2577797{col 70} .3300141
{txt}{hline 9}{c +}{hline 68}
combined {c |}{res}{col 12}     95{col 22} 1.90e-08{col 34} .1146554{col 46} 1.117522{col 58}-.2276509{col 70}  .227651
{txt}{hline 9}{c +}{hline 68}
    diff {c |}{res}{col 22}-.1106818{col 34} .2455817{col 58}-.5983583{col 70} .3769947
{txt}{hline 9}{c BT}{hline 68}
    diff = mean({res}0{txt}) - mean({res}1{txt})                                      t = {res} -0.4507
{txt}Ho: diff = 0                                     degrees of freedom = {res}      93

    {txt}Ha: diff < 0                 Ha: diff != 0                 Ha: diff > 0
 Pr(T < t) = {res}0.3266         {txt}Pr(|T| > |t|) = {res}0.6533          {txt}Pr(T > t) = {res}0.6734

{txt}Two-sample t test with equal variances
{hline 9}{c TT}{hline 68}
   Group{col 10}{c |}{col 16}Obs{col 27}Mean{col 35}Std. Err.{col 47}Std. Dev.{col 59}[95% Conf. Interval]
{hline 9}{c +}{hline 68}
       0 {c |}{res}{col 12}     31{col 22}-.0109693{col 34}   .02891{col 46} .1609643{col 58}-.0700115{col 70} .0480729
       {txt}1 {c |}{res}{col 12}     64{col 22} .0059345{col 34} .0218577{col 46} .1748613{col 58}-.0377445{col 70} .0496136
{txt}{hline 9}{c +}{hline 68}
combined {c |}{res}{col 12}     95{col 22} .0004185{col 34} .0174191{col 46} .1697799{col 58}-.0341674{col 70} .0350045
{txt}{hline 9}{c +}{hline 68}
    diff {c |}{res}{col 22}-.0169038{col 34} .0373096{col 58}-.0909934{col 70} .0571857
{txt}{hline 9}{c BT}{hline 68}
    diff = mean({res}0{txt}) - mean({res}1{txt})                                      t = {res} -0.4531
{txt}Ho: diff = 0                                     degrees of freedom = {res}      93

    {txt}Ha: diff < 0                 Ha: diff != 0                 Ha: diff > 0
 Pr(T < t) = {res}0.3258         {txt}Pr(|T| > |t|) = {res}0.6516          {txt}Pr(T > t) = {res}0.6742

{txt}Two-sample t test with equal variances
{hline 9}{c TT}{hline 68}
   Group{col 10}{c |}{col 16}Obs{col 27}Mean{col 35}Std. Err.{col 47}Std. Dev.{col 59}[95% Conf. Interval]
{hline 9}{c +}{hline 68}
       0 {c |}{res}{col 12}     31{col 22}  .170674{col 34} .0549947{col 46} .3061975{col 58} .0583598{col 70} .2829881
       {txt}1 {c |}{res}{col 12}     64{col 22}-.0816307{col 34} .0401445{col 46} .3211562{col 58}-.1618532{col 70}-.0014083
{txt}{hline 9}{c +}{hline 68}
combined {c |}{res}{col 12}     95{col 22} .0007003{col 34}  .034518{col 46} .3364402{col 58}-.0678361{col 70} .0692367
{txt}{hline 9}{c +}{hline 68}
    diff {c |}{res}{col 22} .2523047{col 34}  .069237{col 58} .1148137{col 70} .3897958
{txt}{hline 9}{c BT}{hline 68}
    diff = mean({res}0{txt}) - mean({res}1{txt})                                      t = {res}  3.6441
{txt}Ho: diff = 0                                     degrees of freedom = {res}      93

    {txt}Ha: diff < 0                 Ha: diff != 0                 Ha: diff > 0
 Pr(T < t) = {res}0.9998         {txt}Pr(|T| > |t|) = {res}0.0004          {txt}Pr(T > t) = {res}0.0002

{txt}Two-sample t test with equal variances
{hline 9}{c TT}{hline 68}
   Group{col 10}{c |}{col 16}Obs{col 27}Mean{col 35}Std. Err.{col 47}Std. Dev.{col 59}[95% Conf. Interval]
{hline 9}{c +}{hline 68}
       0 {c |}{res}{col 12}     31{col 22}-.0212535{col 34} .0476841{col 46} .2654941{col 58}-.1186376{col 70} .0761305
       {txt}1 {c |}{res}{col 12}     64{col 22} .0124103{col 34} .0285339{col 46} .2282714{col 58}-.0446102{col 70} .0694308
{txt}{hline 9}{c +}{hline 68}
combined {c |}{res}{col 12}     95{col 22} .0014253{col 34} .0246386{col 46} .2401478{col 58}-.0474953{col 70} .0503459
{txt}{hline 9}{c +}{hline 68}
    diff {c |}{res}{col 22}-.0336639{col 34} .0527159{col 58}-.1383473{col 70} .0710196
{txt}{hline 9}{c BT}{hline 68}
    diff = mean({res}0{txt}) - mean({res}1{txt})                                      t = {res} -0.6386
{txt}Ho: diff = 0                                     degrees of freedom = {res}      93

    {txt}Ha: diff < 0                 Ha: diff != 0                 Ha: diff > 0
 Pr(T < t) = {res}0.2623         {txt}Pr(|T| > |t|) = {res}0.5247          {txt}Pr(T > t) = {res}0.7377

{txt}Two-sample t test with equal variances
{hline 9}{c TT}{hline 68}
   Group{col 10}{c |}{col 16}Obs{col 27}Mean{col 35}Std. Err.{col 47}Std. Dev.{col 59}[95% Conf. Interval]
{hline 9}{c +}{hline 68}
       0 {c |}{res}{col 12}     31{col 22}-.0344653{col 34} .0558144{col 46} .3107612{col 58}-.1484534{col 70} .0795228
       {txt}1 {c |}{res}{col 12}     64{col 22}-.0701277{col 34} .0420891{col 46} .3367126{col 58} -.154236{col 70} .0139806
{txt}{hline 9}{c +}{hline 68}
combined {c |}{res}{col 12}     95{col 22}-.0584905{col 34} .0335746{col 46} .3272448{col 58}-.1251537{col 70} .0081726
{txt}{hline 9}{c +}{hline 68}
    diff {c |}{res}{col 22} .0356624{col 34} .0718973{col 58}-.1071114{col 70} .1784362
{txt}{hline 9}{c BT}{hline 68}
    diff = mean({res}0{txt}) - mean({res}1{txt})                                      t = {res}  0.4960
{txt}Ho: diff = 0                                     degrees of freedom = {res}      93

    {txt}Ha: diff < 0                 Ha: diff != 0                 Ha: diff > 0
 Pr(T < t) = {res}0.6895         {txt}Pr(|T| > |t|) = {res}0.6211          {txt}Pr(T > t) = {res}0.3105

{txt}Two-sample t test with equal variances
{hline 9}{c TT}{hline 68}
   Group{col 10}{c |}{col 16}Obs{col 27}Mean{col 35}Std. Err.{col 47}Std. Dev.{col 59}[95% Conf. Interval]
{hline 9}{c +}{hline 68}
       0 {c |}{res}{col 12}     31{col 22} .0292557{col 34} .0135655{col 46} .0755292{col 58} .0015513{col 70}   .05696
       {txt}1 {c |}{res}{col 12}     64{col 22} .0095267{col 34} .0109614{col 46} .0876909{col 58}-.0123778{col 70} .0314313
{txt}{hline 9}{c +}{hline 68}
combined {c |}{res}{col 12}     95{col 22} .0159646{col 34} .0086212{col 46} .0840288{col 58}-.0011529{col 70} .0330822
{txt}{hline 9}{c +}{hline 68}
    diff {c |}{res}{col 22}  .019729{col 34} .0183724{col 58} -.016755{col 70} .0562129
{txt}{hline 9}{c BT}{hline 68}
    diff = mean({res}0{txt}) - mean({res}1{txt})                                      t = {res}  1.0738
{txt}Ho: diff = 0                                     degrees of freedom = {res}      93

    {txt}Ha: diff < 0                 Ha: diff != 0                 Ha: diff > 0
 Pr(T < t) = {res}0.8572         {txt}Pr(|T| > |t|) = {res}0.2857          {txt}Pr(T > t) = {res}0.1428

{txt}Two-sample t test with equal variances
{hline 9}{c TT}{hline 68}
   Group{col 10}{c |}{col 16}Obs{col 27}Mean{col 35}Std. Err.{col 47}Std. Dev.{col 59}[95% Conf. Interval]
{hline 9}{c +}{hline 68}
       0 {c |}{res}{col 12}     31{col 22} .0483781{col 34} .0655804{col 46} .3651365{col 58} -.085555{col 70} .1823113
       {txt}1 {c |}{res}{col 12}     64{col 22}-.0241114{col 34} .0444602{col 46} .3556815{col 58} -.112958{col 70} .0647352
{txt}{hline 9}{c +}{hline 68}
combined {c |}{res}{col 12}     95{col 22}-.0004569{col 34}  .036779{col 46} .3584774{col 58}-.0734825{col 70} .0725686
{txt}{hline 9}{c +}{hline 68}
    diff {c |}{res}{col 22} .0724895{col 34} .0785043{col 58}-.0834044{col 70} .2283835
{txt}{hline 9}{c BT}{hline 68}
    diff = mean({res}0{txt}) - mean({res}1{txt})                                      t = {res}  0.9234
{txt}Ho: diff = 0                                     degrees of freedom = {res}      93

    {txt}Ha: diff < 0                 Ha: diff != 0                 Ha: diff > 0
 Pr(T < t) = {res}0.8209         {txt}Pr(|T| > |t|) = {res}0.3582          {txt}Pr(T > t) = {res}0.1791

{txt}Two-sample t test with equal variances
{hline 9}{c TT}{hline 68}
   Group{col 10}{c |}{col 16}Obs{col 27}Mean{col 35}Std. Err.{col 47}Std. Dev.{col 59}[95% Conf. Interval]
{hline 9}{c +}{hline 68}
       0 {c |}{res}{col 12}     31{col 22}-.0803914{col 34} .1501992{col 46}  .836274{col 58}-.3871392{col 70} .2263564
       {txt}1 {c |}{res}{col 12}     64{col 22} .0457093{col 34} .1217161{col 46} .9737285{col 58}-.1975209{col 70} .2889394
{txt}{hline 9}{c +}{hline 68}
combined {c |}{res}{col 12}     95{col 22} .0045606{col 34} .0952665{col 46} .9285426{col 58}-.1845932{col 70} .1937144
{txt}{hline 9}{c +}{hline 68}
    diff {c |}{res}{col 22}-.1261007{col 34} .2038561{col 58}-.5309184{col 70} .2787171
{txt}{hline 9}{c BT}{hline 68}
    diff = mean({res}0{txt}) - mean({res}1{txt})                                      t = {res} -0.6186
{txt}Ho: diff = 0                                     degrees of freedom = {res}      93

    {txt}Ha: diff < 0                 Ha: diff != 0                 Ha: diff > 0
 Pr(T < t) = {res}0.2689         {txt}Pr(|T| > |t|) = {res}0.5377          {txt}Pr(T > t) = {res}0.7311

{txt}Two-sample t test with equal variances
{hline 9}{c TT}{hline 68}
   Group{col 10}{c |}{col 16}Obs{col 27}Mean{col 35}Std. Err.{col 47}Std. Dev.{col 59}[95% Conf. Interval]
{hline 9}{c +}{hline 68}
       0 {c |}{res}{col 12}     31{col 22}-.0084198{col 34} .0309365{col 46} .1722473{col 58}-.0716006{col 70}  .054761
       {txt}1 {c |}{res}{col 12}     64{col 22} -.008635{col 34} .0203483{col 46} .1627865{col 58}-.0492978{col 70} .0320279
{txt}{hline 9}{c +}{hline 68}
combined {c |}{res}{col 12}     95{col 22}-.0085648{col 34} .0169299{col 46} .1650126{col 58}-.0421795{col 70}   .02505
{txt}{hline 9}{c +}{hline 68}
    diff {c |}{res}{col 22} .0002152{col 34}  .036302{col 58}-.0718734{col 70} .0723037
{txt}{hline 9}{c BT}{hline 68}
    diff = mean({res}0{txt}) - mean({res}1{txt})                                      t = {res}  0.0059
{txt}Ho: diff = 0                                     degrees of freedom = {res}      93

    {txt}Ha: diff < 0                 Ha: diff != 0                 Ha: diff > 0
 Pr(T < t) = {res}0.5024         {txt}Pr(|T| > |t|) = {res}0.9953          {txt}Pr(T > t) = {res}0.4976

{txt}Two-sample t test with equal variances
{hline 9}{c TT}{hline 68}
   Group{col 10}{c |}{col 16}Obs{col 27}Mean{col 35}Std. Err.{col 47}Std. Dev.{col 59}[95% Conf. Interval]
{hline 9}{c +}{hline 68}
       0 {c |}{res}{col 12}     31{col 22} .1111323{col 34} .0487334{col 46} .2713362{col 58} .0116054{col 70} .2106592
       {txt}1 {c |}{res}{col 12}     64{col 22}-.0487199{col 34}  .033668{col 46} .2693441{col 58}-.1160001{col 70} .0185602
{txt}{hline 9}{c +}{hline 68}
combined {c |}{res}{col 12}     95{col 22} .0034424{col 34} .0286164{col 46} .2789181{col 58}-.0533761{col 70} .0602609
{txt}{hline 9}{c +}{hline 68}
    diff {c |}{res}{col 22} .1598522{col 34} .0590794{col 58} .0425323{col 70} .2771721
{txt}{hline 9}{c BT}{hline 68}
    diff = mean({res}0{txt}) - mean({res}1{txt})                                      t = {res}  2.7057
{txt}Ho: diff = 0                                     degrees of freedom = {res}      93

    {txt}Ha: diff < 0                 Ha: diff != 0                 Ha: diff > 0
 Pr(T < t) = {res}0.9959         {txt}Pr(|T| > |t|) = {res}0.0081          {txt}Pr(T > t) = {res}0.0041

{txt}Two-sample t test with equal variances
{hline 9}{c TT}{hline 68}
   Group{col 10}{c |}{col 16}Obs{col 27}Mean{col 35}Std. Err.{col 47}Std. Dev.{col 59}[95% Conf. Interval]
{hline 9}{c +}{hline 68}
       0 {c |}{res}{col 12}     31{col 22} .0042543{col 34}   .04447{col 46} .2475985{col 58}-.0865656{col 70} .0950741
       {txt}1 {c |}{res}{col 12}     64{col 22}-.0019223{col 34} .0260184{col 46} .2081474{col 58} -.053916{col 70} .0500713
{txt}{hline 9}{c +}{hline 68}
combined {c |}{res}{col 12}     95{col 22} .0000932{col 34} .0226207{col 46} .2204793{col 58}-.0448207{col 70} .0450071
{txt}{hline 9}{c +}{hline 68}
    diff {c |}{res}{col 22} .0061766{col 34} .0485002{col 58}-.0901351{col 70} .1024883
{txt}{hline 9}{c BT}{hline 68}
    diff = mean({res}0{txt}) - mean({res}1{txt})                                      t = {res}  0.1274
{txt}Ho: diff = 0                                     degrees of freedom = {res}      93

    {txt}Ha: diff < 0                 Ha: diff != 0                 Ha: diff > 0
 Pr(T < t) = {res}0.5505         {txt}Pr(|T| > |t|) = {res}0.8989          {txt}Pr(T > t) = {res}0.4495

{txt}Two-sample t test with equal variances
{hline 9}{c TT}{hline 68}
   Group{col 10}{c |}{col 16}Obs{col 27}Mean{col 35}Std. Err.{col 47}Std. Dev.{col 59}[95% Conf. Interval]
{hline 9}{c +}{hline 68}
       0 {c |}{res}{col 12}     31{col 22} .0077905{col 34} .0506044{col 46} .2817533{col 58}-.0955574{col 70} .1111385
       {txt}1 {c |}{res}{col 12}     64{col 22} .0328169{col 34} .0405079{col 46}  .324063{col 58}-.0481316{col 70} .1137655
{txt}{hline 9}{c +}{hline 68}
combined {c |}{res}{col 12}     95{col 22} .0246504{col 34} .0317653{col 46} .3096101{col 58}-.0384204{col 70} .0877212
{txt}{hline 9}{c +}{hline 68}
    diff {c |}{res}{col 22}-.0250264{col 34} .0680633{col 58}-.1601867{col 70} .1101338
{txt}{hline 9}{c BT}{hline 68}
    diff = mean({res}0{txt}) - mean({res}1{txt})                                      t = {res} -0.3677
{txt}Ho: diff = 0                                     degrees of freedom = {res}      93

    {txt}Ha: diff < 0                 Ha: diff != 0                 Ha: diff > 0
 Pr(T < t) = {res}0.3570         {txt}Pr(|T| > |t|) = {res}0.7139          {txt}Pr(T > t) = {res}0.6430

{txt}Two-sample t test with equal variances
{hline 9}{c TT}{hline 68}
   Group{col 10}{c |}{col 16}Obs{col 27}Mean{col 35}Std. Err.{col 47}Std. Dev.{col 59}[95% Conf. Interval]
{hline 9}{c +}{hline 68}
       0 {c |}{res}{col 12}     31{col 22} .0488268{col 34} .0124918{col 46} .0695517{col 58}  .023315{col 70} .0743385
       {txt}1 {c |}{res}{col 12}     64{col 22} .0110322{col 34} .0096409{col 46} .0771275{col 58}-.0082337{col 70}  .030298
{txt}{hline 9}{c +}{hline 68}
combined {c |}{res}{col 12}     95{col 22} .0233651{col 34} .0078459{col 46} .0764727{col 58} .0077868{col 70} .0389434
{txt}{hline 9}{c +}{hline 68}
    diff {c |}{res}{col 22} .0377946{col 34} .0163608{col 58} .0053053{col 70} .0702839
{txt}{hline 9}{c BT}{hline 68}
    diff = mean({res}0{txt}) - mean({res}1{txt})                                      t = {res}  2.3101
{txt}Ho: diff = 0                                     degrees of freedom = {res}      93

    {txt}Ha: diff < 0                 Ha: diff != 0                 Ha: diff > 0
 Pr(T < t) = {res}0.9885         {txt}Pr(|T| > |t|) = {res}0.0231          {txt}Pr(T > t) = {res}0.0115
{txt}
{com}.         
.         * We calculate the health outcome at the child level
.         
.         preserve
{txt}
{com}.         
.         * We load the midline dataset. The reader should make sure he/she ran the do-file 8.1 previously.
.         
.         use "${c -(}usedata{c )-}/healthoutcome_midline_ind.dta", clear
{txt}
{com}.         
.         * We merge the distance to health centre to control HC
.         
.         drop if treatment != 4
{txt}(13,963 observations deleted)

{com}.         
.         merge m:1 hc_id using "${c -(}usedata{c )-}/Distance to treated HC.dta", nogen
{res}
{txt}{col 5}Result{col 38}# of obs.
{col 5}{hline 41}
{col 5}not matched{col 30}{res}               0
{txt}{col 5}matched{col 30}{res}           4,633{txt}  
{col 5}{hline 41}

{com}.         
.         * We compute mean value at HC to drop individual level
.         
.         local indices healthoutcome_z
{txt}
{com}.         
.         foreach var of local indices {c -(}
{txt}  2{com}.                 foreach x in b_ m_ {c -(} 
{txt}  3{com}.                         byso hc_id : egen `x'mean_`var' = mean (`x'`var')
{txt}  4{com}.                         {c )-}
{txt}  5{com}.                 foreach x in m_ {c -(}       
{txt}  6{com}.                         gen `x'diff_`var' = `x'mean_`var' -  b_mean_`var'
{txt}  7{com}.                         {c )-}
{txt}  8{com}.                 {c )-}
{txt}
{com}.                 
.         * We drop HH level
.         
.         duplicates drop hc_id, force

{p 0 4}{txt}Duplicates in terms of {res} hc_id{p_end}

{txt}(4,538 observations deleted)

{com}.         
.         * We need to reshape to calculate the distribution
.         
.         foreach x in b_ m_ {c -(} 
{txt}  2{com}.                 local `x'indices
{txt}  3{com}.                 foreach var of local indices {c -(}
{txt}  4{com}.                         local `x'indices ``x'indices' `x'mean_`var'
{txt}  5{com}.                         {c )-}
{txt}  6{com}.                 {c )-}
{txt}
{com}.                 
.         foreach x in m_ {c -(} 
{txt}  2{com}.                 local `x'indices_d
{txt}  3{com}.                 foreach var of local indices {c -(}
{txt}  4{com}.                         local `x'indices_d ``x'indices_d' `x'diff_`var'
{txt}  5{com}.                         {c )-}
{txt}  6{com}.                 {c )-}
{txt}
{com}. 
.         keep hc_id `b_indices' `m_indices' `m_indices_d' dist_hc*
{txt}
{com}. 
.         reshape long dist_hc, i(hc_id) j(pos)
{txt}(note: j = 102 103 104 105 106 108 109 110 111 112 113 114 115 117 118 119 120 121 122 123 124 125 126 127 129 130 131 133 135 136 139 140 142 143 144 145 146 151 152 153 156 157 159 160 161 163 165 167 168 169 170 171 173 174 175 178 179 180 181 182 184 185 186 187 188 189 190 192 193 194 195 196 197 198 199 200 202 203 204 205 206 207 209 210 212 213 215 216 217 218 219 220 221 222 223 224 225 226 227 228 229 230 231 233 234 235 236 238 242 243 244 249 251 253 254 255 256 257 258 262 264 265 267 268 269 270 271 272 273 275 278 279 280 281 282 284 285 286 287 288 289 290 291 292 293 295 296 298 304 305 306 308 309 310 311 312 313 314 317 318 319 321 322 323 324 326 327 328 330 331 332 333 335 336 337 338 340 341 342 344 346 347 348 352 354 355 356 357 358 359 360 361 364 365 366 367 368 370 372 375 376 379 380 381 383 384 385 386 389 391 392 393 394 395 397 399 400 401 402 403 406 407 408 409 410 411 412 413 414 415 416 417 418 419 420 421 422 423 424 425 427 428 431 433 434 435 436 437 439 441 442 443 444 446 448 449 451 452 455 456 457 461 462 463 464 466 467 469 470 471 472 474 475 476 477 478 479 480 482 483 484)

Data{col 36}wide{col 43}->{col 48}long
{hline 77}
Number of obs.                 {res}      95   {txt}->{res}   26695
{txt}Number of variables            {res}     285   {txt}->{res}       6
{txt}j variable (281 values)                   ->   {res}pos
{txt}xij variables:
   {res}dist_hc102 dist_hc103 ... dist_hc484   {txt}->   {res}dist_hc
{txt}{hline 77}

{com}.         
.         * We keep the minimum value
.         
.         byso hc_id : egen min_dist = min(dist_hc)
{txt}
{com}. 
.         duplicates drop hc_id, force

{p 0 4}{txt}Duplicates in terms of {res} hc_id{p_end}

{txt}(26,600 observations deleted)

{com}.         
.         drop dist_hc pos
{txt}
{com}.         
.         * We calculate the 67th percentile
.         
.         centile min_dist, centile(67)

{txt}{col 56}{hline 2} Binom. Interp. {hline 2}
    Variable {c |}       Obs  Percentile    Centile        [95% Conf. Interval]
{hline 13}{c +}{hline 61}
    min_dist {c |}{col 14}{res}        95{col 29}     67{col 39} 5.185954{col 55}  4.63833{col 67} 5.442269{txt}

{com}.         
.         gen pct67 = `r(c_1)'
{txt}
{com}.         
.         gen close_hc = (min_dist<=pct67)
{txt}
{com}.         
.         count if close_hc == 1
  {res}64
{txt}
{com}.         local n_close `r(N)'
{txt}
{com}.         
.         count if close_hc == 0
  {res}31
{txt}
{com}.         local n_far `r(N)'
{txt}
{com}.         
.         * We have the variable we were looking for
.         
.         foreach indices in b_indices m_indices {c -(}
{txt}  2{com}.                 foreach var of local `indices' {c -(} 
{txt}  3{com}.                         sum `var' if close == 1
{txt}  4{com}.                         local cl_`var' `r(mean)'
{txt}  5{com}.                         local cl_`var' = string(`cl_`var'',"%9.3fc")
{txt}  6{com}.                         sum `var' if close == 0
{txt}  7{com}.                         local fr_`var' `r(mean)'
{txt}  8{com}.                         local fr_`var' = string(`fr_`var'',"%9.3fc")
{txt}  9{com}.                         {c )-}
{txt} 10{com}.                 {c )-}

{txt}    Variable {c |}        Obs        Mean    Std. Dev.       Min        Max
{hline 13}{c +}{hline 57}
b_mean_hea~z {c |}{res}         64   -.0095349    .2990839  -.6423019   .7656137

{txt}    Variable {c |}        Obs        Mean    Std. Dev.       Min        Max
{hline 13}{c +}{hline 57}
b_mean_hea~z {c |}{res}         31    .0035347    .3551489   -.603378   1.162144

{txt}    Variable {c |}        Obs        Mean    Std. Dev.       Min        Max
{hline 13}{c +}{hline 57}
m_mean_hea~z {c |}{res}         64   -.0005035    .1846249  -.3168682   .5252784

{txt}    Variable {c |}        Obs        Mean    Std. Dev.       Min        Max
{hline 13}{c +}{hline 57}
m_mean_hea~z {c |}{res}         31    .0137563    .1920197   -.406784   .4205128
{txt}
{com}.         
.         foreach indices in b_indices m_indices {c -(}
{txt}  2{com}.                 foreach var of local `indices' {c -(}
{txt}  3{com}.                         ttest `var', by(close)
{txt}  4{com}.                         local m_diff_`var' = `r(mu_1)' - `r(mu_2)'
{txt}  5{com}.                         local p_`var' = (2 * ttail(`r(df_t)', abs(`m_diff_`var''/`r(se)')))
{txt}  6{com}.                         local p_`var' = string(`p_`var'',"%9.3fc")
{txt}  7{com}.                         {c )-}
{txt}  8{com}.                 {c )-}

{txt}Two-sample t test with equal variances
{hline 9}{c TT}{hline 68}
   Group{col 10}{c |}{col 16}Obs{col 27}Mean{col 35}Std. Err.{col 47}Std. Dev.{col 59}[95% Conf. Interval]
{hline 9}{c +}{hline 68}
       0 {c |}{res}{col 12}     31{col 22} .0035347{col 34} .0637866{col 46} .3551489{col 58}-.1267349{col 70} .1338044
       {txt}1 {c |}{res}{col 12}     64{col 22}-.0095349{col 34} .0373855{col 46} .2990839{col 58}-.0842438{col 70}  .065174
{txt}{hline 9}{c +}{hline 68}
combined {c |}{res}{col 12}     95{col 22}-.0052701{col 34} .0324838{col 46} .3166129{col 58}-.0697674{col 70} .0592273
{txt}{hline 9}{c +}{hline 68}
    diff {c |}{res}{col 22} .0130696{col 34} .0696402{col 58} -.125222{col 70} .1513612
{txt}{hline 9}{c BT}{hline 68}
    diff = mean({res}0{txt}) - mean({res}1{txt})                                      t = {res}  0.1877
{txt}Ho: diff = 0                                     degrees of freedom = {res}      93

    {txt}Ha: diff < 0                 Ha: diff != 0                 Ha: diff > 0
 Pr(T < t) = {res}0.5742         {txt}Pr(|T| > |t|) = {res}0.8515          {txt}Pr(T > t) = {res}0.4258

{txt}Two-sample t test with equal variances
{hline 9}{c TT}{hline 68}
   Group{col 10}{c |}{col 16}Obs{col 27}Mean{col 35}Std. Err.{col 47}Std. Dev.{col 59}[95% Conf. Interval]
{hline 9}{c +}{hline 68}
       0 {c |}{res}{col 12}     31{col 22} .0137563{col 34} .0344877{col 46} .1920197{col 58}-.0566771{col 70} .0841896
       {txt}1 {c |}{res}{col 12}     64{col 22}-.0005035{col 34} .0230781{col 46} .1846249{col 58}-.0466214{col 70} .0456144
{txt}{hline 9}{c +}{hline 68}
combined {c |}{res}{col 12}     95{col 22} .0041497{col 34} .0191002{col 46}  .186166{col 58}-.0337743{col 70} .0420737
{txt}{hline 9}{c +}{hline 68}
    diff {c |}{res}{col 22} .0142597{col 34}  .040929{col 58} -.067017{col 70} .0955365
{txt}{hline 9}{c BT}{hline 68}
    diff = mean({res}0{txt}) - mean({res}1{txt})                                      t = {res}  0.3484
{txt}Ho: diff = 0                                     degrees of freedom = {res}      93

    {txt}Ha: diff < 0                 Ha: diff != 0                 Ha: diff > 0
 Pr(T < t) = {res}0.6358         {txt}Pr(|T| > |t|) = {res}0.7283          {txt}Pr(T > t) = {res}0.3642
{txt}
{com}.                 
.         * We calculate the mean and p-values of the difference
.         
.         foreach indices in m_indices_d {c -(}
{txt}  2{com}.                 foreach var of local `indices' {c -(} 
{txt}  3{com}.                         sum `var' if close == 1
{txt}  4{com}.                         local cl_`var' `r(mean)'
{txt}  5{com}.                         local cl_`var' = string(`cl_`var'',"%9.3fc")
{txt}  6{com}.                         sum `var' if close == 0
{txt}  7{com}.                         local fr_`var' `r(mean)'
{txt}  8{com}.                         local fr_`var' = string(`fr_`var'',"%9.3fc")
{txt}  9{com}.                         {c )-}
{txt} 10{com}.                 {c )-}

{txt}    Variable {c |}        Obs        Mean    Std. Dev.       Min        Max
{hline 13}{c +}{hline 57}
m_diff_hea~z {c |}{res}         64    .0090314    .3476027  -1.082482   .6775851

{txt}    Variable {c |}        Obs        Mean    Std. Dev.       Min        Max
{hline 13}{c +}{hline 57}
m_diff_hea~z {c |}{res}         31    .0102215    .4033033  -1.229209   .7215087
{txt}
{com}.         
.         foreach indices in m_indices_d {c -(}
{txt}  2{com}.                 foreach var of local `indices' {c -(}
{txt}  3{com}.                         ttest `var', by(close)
{txt}  4{com}.                         local m_diff_`var' = `r(mu_1)' - `r(mu_2)'
{txt}  5{com}.                         local p_`var' = (2 * ttail(`r(df_t)', abs(`m_diff_`var''/`r(se)')))
{txt}  6{com}.                         local p_`var' = string(`p_`var'',"%9.3fc")
{txt}  7{com}.                         {c )-}
{txt}  8{com}.                 {c )-}

{txt}Two-sample t test with equal variances
{hline 9}{c TT}{hline 68}
   Group{col 10}{c |}{col 16}Obs{col 27}Mean{col 35}Std. Err.{col 47}Std. Dev.{col 59}[95% Conf. Interval]
{hline 9}{c +}{hline 68}
       0 {c |}{res}{col 12}     31{col 22} .0102215{col 34} .0724354{col 46} .4033033{col 58}-.1377113{col 70} .1581544
       {txt}1 {c |}{res}{col 12}     64{col 22} .0090314{col 34} .0434503{col 46} .3476027{col 58}-.0777972{col 70}   .09586
{txt}{hline 9}{c +}{hline 68}
combined {c |}{res}{col 12}     95{col 22} .0094198{col 34} .0374013{col 46} .3645425{col 58}-.0648413{col 70} .0836809
{txt}{hline 9}{c +}{hline 68}
    diff {c |}{res}{col 22} .0011901{col 34} .0801976{col 58}-.1580663{col 70} .1604466
{txt}{hline 9}{c BT}{hline 68}
    diff = mean({res}0{txt}) - mean({res}1{txt})                                      t = {res}  0.0148
{txt}Ho: diff = 0                                     degrees of freedom = {res}      93

    {txt}Ha: diff < 0                 Ha: diff != 0                 Ha: diff > 0
 Pr(T < t) = {res}0.5059         {txt}Pr(|T| > |t|) = {res}0.9882          {txt}Pr(T > t) = {res}0.4941
{txt}
{com}.         
.         restore
{txt}
{com}.         
.         preserve
{txt}
{com}.         
.         * We load the endline dataset. The reader should make sure he/she ran the do-file 8.1 previously.
.         
.         use "${c -(}usedata{c )-}/healthoutcome_endline_ind.dta", clear
{txt}
{com}.         
.         * We merge the distance to health centre to control HC
.         
.         drop if treatment != 4
{txt}(13,942 observations deleted)

{com}.         
.         merge m:1 hc_id using "${c -(}usedata{c )-}/Distance to treated HC.dta", nogen
{res}
{txt}{col 5}Result{col 38}# of obs.
{col 5}{hline 41}
{col 5}not matched{col 30}{res}               0
{txt}{col 5}matched{col 30}{res}           4,609{txt}  
{col 5}{hline 41}

{com}.         
.         * We compute mean value at HC to drop individual level
.         
.         local indices healthoutcome_z
{txt}
{com}.         
.         foreach var of local indices {c -(}
{txt}  2{com}.                 foreach x in b_ e_ {c -(} 
{txt}  3{com}.                         byso hc_id : egen `x'mean_`var' = mean (`x'`var')
{txt}  4{com}.                         {c )-}
{txt}  5{com}.                 foreach x in e_ {c -(}       
{txt}  6{com}.                         gen `x'diff_`var' = `x'mean_`var' -  b_mean_`var'
{txt}  7{com}.                         {c )-}
{txt}  8{com}.                 {c )-}
{txt}
{com}.                 
.         * We drop HH level
.         
.         duplicates drop hc_id, force

{p 0 4}{txt}Duplicates in terms of {res} hc_id{p_end}

{txt}(4,514 observations deleted)

{com}.         
.         * We need to reshape to calculate the distribution
.         
.         foreach x in b_ e_ {c -(} 
{txt}  2{com}.                 local `x'indices
{txt}  3{com}.                 foreach var of local indices {c -(}
{txt}  4{com}.                         local `x'indices ``x'indices' `x'mean_`var'
{txt}  5{com}.                         {c )-}
{txt}  6{com}.                 {c )-}
{txt}
{com}.                 
.         foreach x in e_ {c -(} 
{txt}  2{com}.                 local `x'indices_d
{txt}  3{com}.                 foreach var of local indices {c -(}
{txt}  4{com}.                         local `x'indices_d ``x'indices_d' `x'diff_`var'
{txt}  5{com}.                         {c )-}
{txt}  6{com}.                 {c )-}
{txt}
{com}. 
.         keep hc_id `b_indices' `e_indices' `e_indices_d' dist_hc*
{txt}
{com}. 
.         reshape long dist_hc, i(hc_id) j(pos)
{txt}(note: j = 102 103 104 105 106 108 109 110 111 112 113 114 115 117 118 119 120 121 122 123 124 125 126 127 129 130 131 133 135 136 139 140 142 143 144 145 146 151 152 153 156 157 159 160 161 163 165 167 168 169 170 171 173 174 175 178 179 180 181 182 184 185 186 187 188 189 190 192 193 194 195 196 197 198 199 200 202 203 204 205 206 207 209 210 212 213 215 216 217 218 219 220 221 222 223 224 225 226 227 228 229 230 231 233 234 235 236 238 242 243 244 249 251 253 254 255 256 257 258 262 264 265 267 268 269 270 271 272 273 275 278 279 280 281 282 284 285 286 287 288 289 290 291 292 293 295 296 298 304 305 306 308 309 310 311 312 313 314 317 318 319 321 322 323 324 326 327 328 330 331 332 333 335 336 337 338 340 341 342 344 346 347 348 352 354 355 356 357 358 359 360 361 364 365 366 367 368 370 372 375 376 379 380 381 383 384 385 386 389 391 392 393 394 395 397 399 400 401 402 403 406 407 408 409 410 411 412 413 414 415 416 417 418 419 420 421 422 423 424 425 427 428 431 433 434 435 436 437 439 441 442 443 444 446 448 449 451 452 455 456 457 461 462 463 464 466 467 469 470 471 472 474 475 476 477 478 479 480 482 483 484)

Data{col 36}wide{col 43}->{col 48}long
{hline 77}
Number of obs.                 {res}      95   {txt}->{res}   26695
{txt}Number of variables            {res}     285   {txt}->{res}       6
{txt}j variable (281 values)                   ->   {res}pos
{txt}xij variables:
   {res}dist_hc102 dist_hc103 ... dist_hc484   {txt}->   {res}dist_hc
{txt}{hline 77}

{com}.         
.         * We keep the minimum value
.         
.         byso hc_id : egen min_dist = min(dist_hc)
{txt}
{com}. 
.         duplicates drop hc_id, force

{p 0 4}{txt}Duplicates in terms of {res} hc_id{p_end}

{txt}(26,600 observations deleted)

{com}.         
.         drop dist_hc pos
{txt}
{com}.         
.         * We calculate the 67th percentile
.         
.         centile min_dist, centile(67)

{txt}{col 56}{hline 2} Binom. Interp. {hline 2}
    Variable {c |}       Obs  Percentile    Centile        [95% Conf. Interval]
{hline 13}{c +}{hline 61}
    min_dist {c |}{col 14}{res}        95{col 29}     67{col 39} 5.185954{col 55}  4.63833{col 67} 5.442269{txt}

{com}.         
.         gen pct67 = `r(c_1)'
{txt}
{com}.         
.         gen close_hc = (min_dist<=pct67)
{txt}
{com}.         
.         count if close_hc == 1
  {res}64
{txt}
{com}.         local n_close `r(N)'
{txt}
{com}.         
.         count if close_hc == 0
  {res}31
{txt}
{com}.         local n_far `r(N)'
{txt}
{com}.         
.         * We have the variable we were looking for
.         
.         foreach indices in b_indices e_indices {c -(}
{txt}  2{com}.                 foreach var of local `indices' {c -(} 
{txt}  3{com}.                         sum `var' if close == 1
{txt}  4{com}.                         local cl_`var' `r(mean)'
{txt}  5{com}.                         local cl_`var' = string(`cl_`var'',"%9.3fc")
{txt}  6{com}.                         sum `var' if close == 0
{txt}  7{com}.                         local fr_`var' `r(mean)'
{txt}  8{com}.                         local fr_`var' = string(`fr_`var'',"%9.3fc")
{txt}  9{com}.                         {c )-}
{txt} 10{com}.                 {c )-}

{txt}    Variable {c |}        Obs        Mean    Std. Dev.       Min        Max
{hline 13}{c +}{hline 57}
b_mean_hea~z {c |}{res}         64   -.0252301    .6557896  -1.193465   1.668631

{txt}    Variable {c |}        Obs        Mean    Std. Dev.       Min        Max
{hline 13}{c +}{hline 57}
b_mean_hea~z {c |}{res}         31    .0407805    .6850741  -1.247541   1.802147

{txt}    Variable {c |}        Obs        Mean    Std. Dev.       Min        Max
{hline 13}{c +}{hline 57}
e_mean_hea~z {c |}{res}         64    .0199259    .2327548  -.3428194   .8707295

{txt}    Variable {c |}        Obs        Mean    Std. Dev.       Min        Max
{hline 13}{c +}{hline 57}
e_mean_hea~z {c |}{res}         31   -.0327346    .2233764  -.4847142   .4219827
{txt}
{com}.         
.         foreach indices in b_indices e_indices {c -(}
{txt}  2{com}.                 foreach var of local `indices' {c -(}
{txt}  3{com}.                         ttest `var', by(close)
{txt}  4{com}.                         local e_diff_`var' = `r(mu_1)' - `r(mu_2)'
{txt}  5{com}.                         local p_`var' = (2 * ttail(`r(df_t)', abs(`e_diff_`var''/`r(se)')))
{txt}  6{com}.                         local p_`var' = string(`p_`var'',"%9.3fc")
{txt}  7{com}.                         {c )-}
{txt}  8{com}.                 {c )-}

{txt}Two-sample t test with equal variances
{hline 9}{c TT}{hline 68}
   Group{col 10}{c |}{col 16}Obs{col 27}Mean{col 35}Std. Err.{col 47}Std. Dev.{col 59}[95% Conf. Interval]
{hline 9}{c +}{hline 68}
       0 {c |}{res}{col 12}     31{col 22} .0407805{col 34} .1230429{col 46} .6850741{col 58}-.2105067{col 70} .2920677
       {txt}1 {c |}{res}{col 12}     64{col 22}-.0252301{col 34} .0819737{col 46} .6557896{col 58}-.1890415{col 70} .1385812
{txt}{hline 9}{c +}{hline 68}
combined {c |}{res}{col 12}     95{col 22}-.0036898{col 34} .0679772{col 46} .6625593{col 58}-.1386601{col 70} .1312804
{txt}{hline 9}{c +}{hline 68}
    diff {c |}{res}{col 22} .0660107{col 34} .1455991{col 58}-.2231204{col 70} .3551417
{txt}{hline 9}{c BT}{hline 68}
    diff = mean({res}0{txt}) - mean({res}1{txt})                                      t = {res}  0.4534
{txt}Ho: diff = 0                                     degrees of freedom = {res}      93

    {txt}Ha: diff < 0                 Ha: diff != 0                 Ha: diff > 0
 Pr(T < t) = {res}0.6743         {txt}Pr(|T| > |t|) = {res}0.6513          {txt}Pr(T > t) = {res}0.3257

{txt}Two-sample t test with equal variances
{hline 9}{c TT}{hline 68}
   Group{col 10}{c |}{col 16}Obs{col 27}Mean{col 35}Std. Err.{col 47}Std. Dev.{col 59}[95% Conf. Interval]
{hline 9}{c +}{hline 68}
       0 {c |}{res}{col 12}     31{col 22}-.0327346{col 34} .0401196{col 46} .2233764{col 58}-.1146698{col 70} .0492005
       {txt}1 {c |}{res}{col 12}     64{col 22} .0199259{col 34} .0290943{col 46} .2327548{col 58}-.0382145{col 70} .0780664
{txt}{hline 9}{c +}{hline 68}
combined {c |}{res}{col 12}     95{col 22}  .002742{col 34} .0235862{col 46} .2298898{col 58} -.044089{col 70} .0495729
{txt}{hline 9}{c +}{hline 68}
    diff {c |}{res}{col 22}-.0526606{col 34}  .050279{col 58}-.1525048{col 70} .0471836
{txt}{hline 9}{c BT}{hline 68}
    diff = mean({res}0{txt}) - mean({res}1{txt})                                      t = {res} -1.0474
{txt}Ho: diff = 0                                     degrees of freedom = {res}      93

    {txt}Ha: diff < 0                 Ha: diff != 0                 Ha: diff > 0
 Pr(T < t) = {res}0.1488         {txt}Pr(|T| > |t|) = {res}0.2976          {txt}Pr(T > t) = {res}0.8512
{txt}
{com}.                 
.         * We calculate the mean and p-values of the difference
.         
.         foreach indices in e_indices_d {c -(}
{txt}  2{com}.                 foreach var of local `indices' {c -(} 
{txt}  3{com}.                         sum `var' if close == 1
{txt}  4{com}.                         local cl_`var' `r(mean)'
{txt}  5{com}.                         local cl_`var' = string(`cl_`var'',"%9.3fc")
{txt}  6{com}.                         sum `var' if close == 0
{txt}  7{com}.                         local fr_`var' `r(mean)'
{txt}  8{com}.                         local fr_`var' = string(`fr_`var'',"%9.3fc")
{txt}  9{com}.                         {c )-}
{txt} 10{com}.                 {c )-}

{txt}    Variable {c |}        Obs        Mean    Std. Dev.       Min        Max
{hline 13}{c +}{hline 57}
e_diff_hea~z {c |}{res}         64    .0451561    .6595402  -1.650158    1.59079

{txt}    Variable {c |}        Obs        Mean    Std. Dev.       Min        Max
{hline 13}{c +}{hline 57}
e_diff_hea~z {c |}{res}         31   -.0735152    .7349614  -1.956972   1.669523
{txt}
{com}.         
.         foreach indices in e_indices_d {c -(}
{txt}  2{com}.                 foreach var of local `indices' {c -(}
{txt}  3{com}.                         ttest `var', by(close)
{txt}  4{com}.                         local e_diff_`var' = `r(mu_1)' - `r(mu_2)'
{txt}  5{com}.                         local p_`var' = (2 * ttail(`r(df_t)', abs(`e_diff_`var''/`r(se)')))
{txt}  6{com}.                         local p_`var' = string(`p_`var'',"%9.3fc")
{txt}  7{com}.                         {c )-}
{txt}  8{com}.                 {c )-}

{txt}Two-sample t test with equal variances
{hline 9}{c TT}{hline 68}
   Group{col 10}{c |}{col 16}Obs{col 27}Mean{col 35}Std. Err.{col 47}Std. Dev.{col 59}[95% Conf. Interval]
{hline 9}{c +}{hline 68}
       0 {c |}{res}{col 12}     31{col 22}-.0735152{col 34}  .132003{col 46} .7349614{col 58}-.3431012{col 70} .1960708
       {txt}1 {c |}{res}{col 12}     64{col 22} .0451561{col 34} .0824425{col 46} .6595402{col 58}-.1195921{col 70} .2099043
{txt}{hline 9}{c +}{hline 68}
combined {c |}{res}{col 12}     95{col 22} .0064318{col 34} .0701173{col 46} .6834186{col 58}-.1327877{col 70} .1456513
{txt}{hline 9}{c +}{hline 68}
    diff {c |}{res}{col 22}-.1186713{col 34} .1498445{col 58}-.4162327{col 70} .1788901
{txt}{hline 9}{c BT}{hline 68}
    diff = mean({res}0{txt}) - mean({res}1{txt})                                      t = {res} -0.7920
{txt}Ho: diff = 0                                     degrees of freedom = {res}      93

    {txt}Ha: diff < 0                 Ha: diff != 0                 Ha: diff > 0
 Pr(T < t) = {res}0.2152         {txt}Pr(|T| > |t|) = {res}0.4304          {txt}Pr(T > t) = {res}0.7848
{txt}
{com}.         
.         restore
{txt}
{com}.         
.         * Difference
.         
.         texdoc init "${c -(}tables{c )-}/TableG2.tex", replace force
{res}{txt}(texdoc output file is /Users/fredericcochinard/Dropbox/ACT_Health_JOP_replication_file/3.Tables and Figures/Tables/TableG2.tex)
{res}{txt}
{com}.         tex \begin{c -(}table{c )-}[htbp]\centering
{res}{txt}
{com}.         tex \small
{res}{txt}
{com}.         tex \def\sym#1{c -(}\ifmmode^{c -(}#1{c )-}\else\(^{c -(}#1{c )-}\)\fi{c )-}
{res}{txt}
{com}.         tex \caption{c -(}Spillover analysis{c )-}
{res}{txt}
{com}.         tex \begin{c -(}tabular{c )-}{c -(}lccc{c )-}
{res}{txt}
{com}.         tex \toprule
{res}{txt}
{com}.     tex &\multicolumn{c -(}1{c )-}{c -(}c{c )-}{c -(}\begin{c -(}tabular{c )-}[c]{c -(}@{c -(}{c )-}c@{c -(}{c )-}{c )-}Mean of close \\ control HC\end{c -(}tabular{c )-}{c )-}&\multicolumn{c -(}1{c )-}{c -(}c{c )-}{c -(}\begin{c -(}tabular{c )-}[c]{c -(}@{c -(}{c )-}c@{c -(}{c )-}{c )-}Mean of far \\ control HC\end{c -(}tabular{c )-}{c )-} & \multicolumn{c -(}1{c )-}{c -(}c{c )-}{c -(}\begin{c -(}tabular{c )-}[c]{c -(}@{c -(}{c )-}c@{c -(}{c )-}{c )-}P-value\\difference\end{c -(}tabular{c )-}{c )-} \\
{res}{txt}
{com}.         tex \midrule
{res}{txt}
{com}.         tex \textit{c -(}A. Difference Midline - Baseline levels of key outcome indices{c )-} & & & \\
{res}{txt}
{com}.         tex \midrule
{res}{txt}
{com}.         tex Citizen monitoring     &  `cl_m_diff_commtg_z' & `fr_m_diff_commtg_z' & `p_m_diff_commtg_z' \\
{res}{txt}
{com}.         tex Perceived citizen pressure     &  `cl_m_diff_h_ctzpressure_z' & `fr_m_diff_h_ctzpressure_z' & `p_m_diff_h_ctzpressure_z' \\
{res}{txt}
{com}.         tex Utilization     &  `cl_m_diff_urate_z' & `fr_m_diff_urate_z' & `p_m_diff_urate_z' \\
{res}{txt}
{com}.     tex Treatment quality      &  `cl_m_diff_treatqual_z' & `fr_m_diff_treatqual_z' & `p_m_diff_treatqual_z' \\
{res}{txt}
{com}.         tex Patient satisfaction      &  `cl_m_diff_patsat_z' & `fr_m_diff_patsat_z' & `p_m_diff_patsat_z' \\
{res}{txt}
{com}.         tex Health outcomes (HH lvl. averaged at HC lvl.)     &  `cl_m_diff_healthout_z' & `fr_m_diff_healthout_z' & `p_m_diff_healthout_z' \\
{res}{txt}
{com}.         tex Health outcomes (Child lvl. averaged at HC lvl.)     &  `cl_m_diff_healthoutcome_z' & `fr_m_diff_healthoutcome_z' & `p_m_diff_healthoutcome_z' \\
{res}{txt}
{com}.         tex Child Mortality      &  `cl_m_diff_mortrate_05' & `fr_m_diff_mortrate_05' & `p_m_diff_mortrate_05' \\
{res}{txt}
{com}.         tex \midrule
{res}{txt}
{com}.         tex \textit{c -(}B. Difference Endline - Baseline levels of key outcome indices{c )-} & & & \\
{res}{txt}
{com}.         tex \midrule
{res}{txt}
{com}.         tex Citizen monitoring     &  `cl_e_diff_commtg_z' & `fr_e_diff_commtg_z' & `p_e_diff_commtg_z' \\
{res}{txt}
{com}.         tex Perceived citizen pressure     &  `cl_e_diff_h_ctzpressure_z' & `fr_e_diff_h_ctzpressure_z' & `p_e_diff_h_ctzpressure_z' \\
{res}{txt}
{com}.         tex Utilization     &  `cl_e_diff_urate_z' & `fr_e_diff_urate_z' & `p_e_diff_urate_z' \\
{res}{txt}
{com}.     tex Treatment quality      &  `cl_e_diff_treatqual_z' & `fr_e_diff_treatqual_z' & `p_e_diff_treatqual_z' \\
{res}{txt}
{com}.         tex Patient satisfaction      &  `cl_e_diff_patsat_z' & `fr_e_diff_patsat_z' & `p_e_diff_patsat_z' \\
{res}{txt}
{com}.         tex Health outcomes (HH lvl. averaged at HC lvl.)     &  `cl_e_diff_healthout_z' & `fr_e_diff_healthout_z' & `p_e_diff_healthout_z' \\
{res}{txt}
{com}.         tex Health outcomes (Child lvl. averaged at HC lvl.)     &  `cl_e_diff_healthoutcome_z' & `fr_e_diff_healthoutcome_z' & `p_e_diff_healthoutcome_z' \\
{res}{txt}
{com}.         tex Child Mortality      &  `cl_e_diff_mortrate_05' & `fr_e_diff_mortrate_05' & `p_e_diff_mortrate_05' \\
{res}{txt}
{com}.         tex \midrule
{res}{txt}
{com}.         tex N & `n_close' & `n_far' &  \\
{res}{txt}
{com}.         tex \bottomrule
{res}{txt}
{com}.         tex \end{c -(}tabular{c )-}
{res}{txt}
{com}.         tex \end{c -(}table{c )-}
{res}{txt}
{com}.         texdoc close
{txt}(texdoc output written to {browse `"/Users/fredericcochinard/Dropbox/ACT_Health_JOP_replication_file/3.Tables and Figures/Tables/TableG2.tex"':/Users/fredericcochinard/Dropbox/ACT_Health_JOP_replication_file/3.Tables and Figures/Tables/TableG2.tex})
{res}{txt}
{com}.         
.         ***************************************************************************************
.         * Table I22: Subgroup effects on main outcomes – Proxies of low levels of development *
.         ***************************************************************************************
.         
.         * &
.         
.         **********************************************************************************
.         * Table I23: Subgroup effects on main outcomes – Proxies of community engagement *
.         **********************************************************************************
.         
.         * Running subgroup analyse by position toward child mortality
.         
.         * We first calculate the average U5M for the control group at endline P2P (bline is not available)
.         
.         use "${c -(}usedata{c )-}/u5mortality_ctrls.dta", clear
{txt}
{com}.         
.         * We calculate the threshold
.         
.         sum u5mortality if treatment == 0

{txt}    Variable {c |}        Obs        Mean    Std. Dev.       Min        Max
{hline 13}{c +}{hline 57}
{space 1}u5mortality {c |}{res}         25    144.3995    94.44639          0   452.4573
{txt}
{com}.         
.         local threshold_low = `r(mean)' - `r(sd)'
{txt}
{com}.         local threshold_high = `r(mean)' + `r(sd)'
{txt}
{com}.         * We have now our local we load the P2P dataset
.         
.         use "${c -(}usedata{c )-}/baseline_U5M.dta", clear
{txt}
{com}.         
.         * We calculate the sample that corresponds to ACT Health HCs with same starting condition than P2P
.         
.         gen u5_p2p = (b_u5mortality >= `threshold_low' & b_u5mortality <= `threshold_high' )
{txt}
{com}.         
.         keep hc_id u5_*
{txt}
{com}.         
.         tempfile bu5m
{txt}
{com}.         sa "`bu5m'"
{txt}file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.00000a saved

{com}.         
.         **************************
.         * Household and HC level *
.         **************************
. 
.         * At endline
.         
.         use "${c -(}usedata{c )-}/chp_el_light_dataset.dta", clear
{txt}
{com}.         
.         **************************************************
.         ** Indices corresponds to the 4 main indicators **
.         **************************************************
.         
.         ren e_h_ctzpressure_z e_h_ctzpre_z
{res}{txt}
{com}.         ren b_h_ctzpressure_z b_h_ctzpre_z
{res}{txt}
{com}.         
.         ren b_h_ctzpressure_z_d b_h_ctzpre_z_d
{res}{txt}
{com}.         
.         
.         * We create it for endline and baseline and one only irrespective to the timeline
.         
.         local indices urate_z treatqual_z patsat_z commtg_z
{txt}
{com}.         local indices_hc mortrate_05 h_ctzpre_z
{txt}
{com}.         
.         
.         * We should have:
.                 * Endline: 14,609 obs
.                 * Midline: 14,459 obs
.                 * Baseline: 15,295 obs
.                 
.         * We recode the variable to study backwardness
.         
.         foreach var in b_treatqual_z_med_d b_h_urb_area b_h_outsideoption_z_med_d b_ngo_hc b_distance_hc_z_med_d {c -(}
{txt}  2{com}.         
.                 recode `var' (0=1) (1=0)
{txt}  3{com}.                 
.                 {c )-}
{txt}(b_treatqual_z_med_d: 15295 changes made)
(b_h_urb_area: 15295 changes made)
(b_h_outsideoption_z_med_d: 15295 changes made)
(b_ngo_hc: 15295 changes made)
(b_distance_hc_z_med_d: 15295 changes made)

{com}.                 
.         replace treatfull_treatqual = treatfull * b_treatqual_z_med_d
{txt}(3,805 real changes made)

{com}.         replace treatfull_outsideoption = treatfull * b_h_outsideoption_z_med_d 
{txt}(3,805 real changes made)

{com}.         replace treatfull_urbanarea = treatfull * b_h_urb_area
{txt}(3,805 real changes made)

{com}.         replace treatfull_ngo_hc = treatfull * b_ngo_hc
{txt}(3,805 real changes made)

{com}.         replace treatfull_distance = treatfull * b_distance_hc_z_med_d
{txt}(3,805 real changes made)

{com}.         
.         
.         **********************************************************
.         ** Controlvar corresponds to the main control variables **
.         **********************************************************
.         
.         * We local control variables without the HC level components
.         
.         local  e_controls_noprefix b_visited_d educyr b_assetindex
{txt}
{com}.                 
.         foreach x in e_ {c -(}
{txt}  2{com}.                 
.                 local `x'controls
{txt}  3{com}.                 local `x'controls_hc
{txt}  4{com}.                 
.                 local `x'controls_tfull
{txt}  5{com}.                 local `x'controls_tfull_hc
{txt}  6{com}.                         
.                 {c )-}
{txt}
{com}.                 
.         foreach x in e_ {c -(}
{txt}  2{com}.                 foreach var in treatfull {c -(}
{txt}  3{com}.                 
.                         local `var'_int_`x'controls
{txt}  4{com}.                         local `var'_hc_int_`x'controls
{txt}  5{com}.                         
.                         {c )-}
{txt}  6{com}.                 {c )-}
{txt}
{com}.                                 
.         foreach var of local e_controls_noprefix {c -(}
{txt}  2{com}.                 local e_controls `e_controls' c_`var'
{txt}  3{com}.                 local e_controls_tfull `e_controls_tfull' c_tfull_`var'
{txt}  4{com}.                 
.                 local e_controls_hc `e_controls_hc' c_hc_`var'
{txt}  5{com}.                 local e_controls_tfull_hc `e_controls_tfull_hc' c_tfull_hc_`var'
{txt}  6{com}.                 {c )-}
{txt}
{com}.                         
.         foreach treat in treatfull {c -(}
{txt}  2{com}.                 foreach var of local e_controls_noprefix {c -(}
{txt}  3{com}.                 
.                         local `treat'_int_e_controls ``treat'_int_e_controls' c_`treat'_`var'
{txt}  4{com}.                         local `treat'_hc_int_e_controls ``treat'_hc_int_e_controls' c_`treat'_hc_`var'
{txt}  5{com}.                         
.                         {c )-}
{txt}  6{com}.                 {c )-}
{txt}
{com}.         
.         * We regress the results
.                         
.         * In this section, we regress the various subgroup effects over the different main outcomes
.         
.         * Subgroup Effects: Health Centre 2
.         
.         foreach x in `indices' {c -(}
{txt}  2{com}.                 areg e_`x' treatfull treatfull_hc2 hc2 b_`x' b_`x'_d `e_controls_tfull' `treatfull_int_e_controls', robust cl(hc_id) a(district)
{txt}  3{com}.                 eststo e_`x'_hc2
{txt}  4{com}.                 local n_hc3_`x' = string(e(N),"%9.0fc")
{txt}  5{com}.                 local r2_hc3_`x' = string(e(r2),"%9.3fc")
{txt}  6{com}. 
.                 lincom treatfull + treatfull_hc2 
{txt}  7{com}.                 local est_hc2_`x' = r(estimate)
{txt}  8{com}.                 local se_hc2_`x' = r(se)
{txt}  9{com}.                 test treatfull + treatfull_hc2 = 0
{txt} 10{com}.                 local p_hc2_`x' = r(p)
{txt} 11{com}.                 
.                 local est_hc3_`x' = string(_b[treatfull],"%9.3fc")
{txt} 12{com}.                 local se_hc3_`x' = string(_se[treatfull],"%9.3fc")
{txt} 13{com}.                 local p_hc3_`x' = (2 * ttail(e(df_r), abs(_b[treatfull]/_se[treatfull])))
{txt} 14{com}.                 
.                 local est_tmxhc3_`x' = string(_b[treatfull_hc2],"%9.3fc")
{txt} 15{com}.                 local se_tmxhc3_`x' = string(_se[treatfull_hc2],"%9.3fc")
{txt} 16{com}.                 local p_tmxhc3_`x' = (2 * ttail(e(df_r), abs(_b[treatfull_hc2]/_se[treatfull_hc2])))
{txt} 17{com}.                 
.                 local est_smhc3_`x' = string(_b[hc2],"%9.3fc")
{txt} 18{com}.                 local se_smhc3_`x' = string(_se[hc2],"%9.3fc")
{txt} 19{com}.                 local p_smhc3_`x' = (2 * ttail(e(df_r), abs(_b[hc2]/_se[hc2])))
{txt} 20{com}.                 
.                 local est_chc3_`x' = string(_b[_cons],"%9.3fc")
{txt} 21{com}.                 local se_chc3_`x' = string(_se[_cons],"%9.3fc")
{txt} 22{com}.                 local p_chc3_`x' = (2 * ttail(e(df_r), abs(_b[_cons]/_se[_cons])))
{txt} 23{com}.                 
.                 foreach var in hc3 tmxhc3 smhc3 chc3 {c -(}
{txt} 24{com}.                 
.                         gen sign_`var'_zero_`x' = (`p_`var'_`x''>0.1)
{txt} 25{com}.                         gen sign_`var'_p1s_`x' = (`p_`var'_`x''<=0.1 & `p_`var'_`x''>0.05 & `est_`var'_`x''>0)
{txt} 26{com}.                         gen sign_`var'_p2s_`x' = (`p_`var'_`x''<=0.05 & `p_`var'_`x''>0.01 & `est_`var'_`x''>0)
{txt} 27{com}.                         gen sign_`var'_p3s_`x' = (`p_`var'_`x''<=0.01 & `p_`var'_`x''>=0 & `est_`var'_`x''>0)
{txt} 28{com}.                         gen sign_`var'_m1s_`x' = (`p_`var'_`x''<=0.1 & `p_`var'_`x''>0.05 & `est_`var'_`x''<0)
{txt} 29{com}.                         gen sign_`var'_m2s_`x' = (`p_`var'_`x''<=0.05 & `p_`var'_`x''>0.01 & `est_`var'_`x''<0)
{txt} 30{com}.                         gen sign_`var'_m3s_`x' = (`p_`var'_`x''<=0.01 & `p_`var'_`x''>=0 & `est_`var'_`x''<0)
{txt} 31{com}.                         
. 
.                         if sign_`var'_p1s_`x' == 1 {c -(}
{txt} 32{com}.                                         local sign_`var'_`x' = "\cellcolor[HTML]{c -(}EFEFEF{c )-}+"
{txt} 33{com}.                                         local est_`var'_`x' = "`est_`var'_`x''*"
{txt} 34{com}.                                         {c )-}
{txt} 35{com}.                                         
.                         if sign_`var'_p2s_`x' == 1 {c -(}    
{txt} 36{com}.                                         local sign_`var'_`x' = "\cellcolor[HTML]{c -(}C0C0C0{c )-}+"
{txt} 37{com}.                                         local est_`var'_`x' = "`est_`var'_`x''**"
{txt} 38{com}.                                         {c )-}
{txt} 39{com}.                                         
.                         if sign_`var'_p3s_`x' == 1 {c -(}    
{txt} 40{com}.                                         local sign_`var'_`x' = "\cellcolor[HTML]{c -(}9B9B9B{c )-}+"
{txt} 41{com}.                                         local est_`var'_`x' = "`est_`var'_`x''***"
{txt} 42{com}.                                         {c )-}
{txt} 43{com}.                                 
.                         if sign_`var'_m1s_`x' == 1 {c -(}
{txt} 44{com}.                                         local sign_`var'_`x' = "\cellcolor[HTML]{c -(}EFEFEF{c )-}-"
{txt} 45{com}.                                         local est_`var'_`x' = "`est_`var'_`x''*"
{txt} 46{com}.                                         {c )-}
{txt} 47{com}.                                         
.                         if sign_`var'_m2s_`x' == 1 {c -(}    
{txt} 48{com}.                                         local sign_`var'_`x' = "\cellcolor[HTML]{c -(}C0C0C0{c )-}-"
{txt} 49{com}.                                         local est_`var'_`x' = "`est_`var'_`x''**"
{txt} 50{com}.                                         {c )-}
{txt} 51{com}.                                         
.                         if sign_`var'_m3s_`x' == 1 {c -(}    
{txt} 52{com}.                                         local sign_`var'_`x' = "\cellcolor[HTML]{c -(}9B9B9B{c )-}-"
{txt} 53{com}.                                         local est_`var'_`x' = "`est_`var'_`x''***"
{txt} 54{com}.                                         {c )-}
{txt} 55{com}.                                 
.                         if sign_`var'_zero_`x' == 1 {c -(}
{txt} 56{com}.                                 local sign_`var'_`x' = "0"
{txt} 57{com}.                                 {c )-}
{txt} 58{com}.                                 
.                         {c )-}
{txt} 59{com}.                 
.                 gen sign_hc2_zero_`x' = (`p_hc2_`x''>0.1)
{txt} 60{com}.                 gen sign_hc2_p1s_`x' = (`p_hc2_`x''<=0.1 & `p_hc2_`x''>0.05 & `est_hc2_`x''>0)
{txt} 61{com}.                 gen sign_hc2_p2s_`x' = (`p_hc2_`x''<=0.05 & `p_hc2_`x''>0.01 & `est_hc2_`x''>0)
{txt} 62{com}.                 gen sign_hc2_p3s_`x' = (`p_hc2_`x''<=0.01 & `p_hc2_`x''>=0 & `est_hc2_`x''>0)
{txt} 63{com}.                 gen sign_hc2_m1s_`x' = (`p_hc2_`x''<=0.1 & `p_hc2_`x''>0.05 & `est_hc2_`x''<0)
{txt} 64{com}.                 gen sign_hc2_m2s_`x' = (`p_hc2_`x''<=0.05 & `p_hc2_`x''>0.01 & `est_hc2_`x''<0)
{txt} 65{com}.                 gen sign_hc2_m3s_`x' = (`p_hc2_`x''<=0.01 & `p_hc2_`x''>=0 & `est_hc2_`x''<0)
{txt} 66{com}.                 
.                 local p_hc2_`x' = string(`p_hc2_`x'',"%9.3fc")
{txt} 67{com}.                 local est_hc2_`x' = string(`est_hc2_`x'',"%9.3fc")
{txt} 68{com}.                 local se_hc2_`x' = string(`se_hc2_`x'',"%9.3fc")
{txt} 69{com}.                 
.                 if sign_hc2_p1s_`x' == 1 {c -(}
{txt} 70{com}.                                 local sign_hc2_`x' = "\cellcolor[HTML]{c -(}EFEFEF{c )-}+"
{txt} 71{com}.                                 local est_hc2_`x' = "`est_hc2_`x''*"
{txt} 72{com}.                                 {c )-}
{txt} 73{com}.                                 
.                 if sign_hc2_p2s_`x' == 1 {c -(}      
{txt} 74{com}.                                 local sign_hc2_`x' = "\cellcolor[HTML]{c -(}C0C0C0{c )-}+"
{txt} 75{com}.                                 local est_hc2_`x' = "`est_hc2_`x''**"
{txt} 76{com}.                                 {c )-}
{txt} 77{com}.                                 
.                 if sign_hc2_p3s_`x' == 1 {c -(}      
{txt} 78{com}.                                 local sign_hc2_`x' = "\cellcolor[HTML]{c -(}9B9B9B{c )-}+"
{txt} 79{com}.                                 local est_hc2_`x' = "`est_hc2_`x''***"
{txt} 80{com}.                                 {c )-}
{txt} 81{com}.                         
.                 if sign_hc2_m1s_`x' == 1 {c -(}
{txt} 82{com}.                                 local sign_hc2_`x' = "\cellcolor[HTML]{c -(}EFEFEF{c )-}-"
{txt} 83{com}.                                 local est_hc2_`x' = "`est_hc2_`x''*"
{txt} 84{com}.                                 {c )-}
{txt} 85{com}.                                 
.                 if sign_hc2_m2s_`x' == 1 {c -(}      
{txt} 86{com}.                                 local sign_hc2_`x' = "\cellcolor[HTML]{c -(}C0C0C0{c )-}-"
{txt} 87{com}.                                 local est_hc2_`x' = "`est_hc2_`x''**"
{txt} 88{com}.                                 {c )-}
{txt} 89{com}.                                 
.                 if sign_hc2_m3s_`x' == 1 {c -(}      
{txt} 90{com}.                                 local sign_hc2_`x' = "\cellcolor[HTML]{c -(}9B9B9B{c )-}-"
{txt} 91{com}.                                 local est_hc2_`x' = "`est_hc2_`x''***"
{txt} 92{com}.                                 {c )-}
{txt} 93{com}.                         
.                 if sign_hc2_zero_`x' == 1 {c -(}
{txt} 94{com}.                         local sign_hc2_`x' = "0"
{txt} 95{com}.                         {c )-}
{txt} 96{com}.                 
.                 drop sign_*
{txt} 97{com}. 
.                 {c )-}
{txt}note: b_urate_z_d omitted because of collinearity
{res}
{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}     7,288
{txt}{col 49}F({res}  10{txt},{res}    186{txt}){col 67}= {res}     79.87
{txt}{col 49}Prob > F{col 67}= {res}    0.0000
{txt}{col 49}R-squared{col 67}= {res}    0.2299
{txt}{col 49}Adj R-squared{col 67}= {res}    0.2273
{txt}{col 49}Root MSE{col 67}= {res}    0.6613

{txt}{ralign 78:(Std. Err. adjusted for {res:187} clusters in hc_id)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}   e_urate_z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2} .0259194{col 26}{space 2} .0356045{col 37}{space 1}    0.73{col 46}{space 3}0.468{col 54}{space 4}-.0443212{col 67}{space 3} .0961599
{txt}treatfull_~2 {c |}{col 14}{res}{space 2} .0032783{col 26}{space 2} .0459085{col 37}{space 1}    0.07{col 46}{space 3}0.943{col 54}{space 4}-.0872901{col 67}{space 3} .0938467
{txt}{space 9}hc2 {c |}{col 14}{res}{space 2}-.0050534{col 26}{space 2} .0340883{col 37}{space 1}   -0.15{col 46}{space 3}0.882{col 54}{space 4}-.0723028{col 67}{space 3} .0621959
{txt}{space 3}b_urate_z {c |}{col 14}{res}{space 2} .3554944{col 26}{space 2} .0145116{col 37}{space 1}   24.50{col 46}{space 3}0.000{col 54}{space 4} .3268659{col 67}{space 3}  .384123
{txt}{space 1}b_urate_z_d {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
c_tfull_b_~d {c |}{col 14}{res}{space 2} .1625021{col 26}{space 2} .0573401{col 37}{space 1}    2.83{col 46}{space 3}0.005{col 54}{space 4} .0493816{col 67}{space 3} .2756226
{txt}c_tfull_ed~r {c |}{col 14}{res}{space 2}-.0126674{col 26}{space 2} .0028342{col 37}{space 1}   -4.47{col 46}{space 3}0.000{col 54}{space 4}-.0182586{col 67}{space 3}-.0070762
{txt}c_tfull_b_~x {c |}{col 14}{res}{space 2}-.0411629{col 26}{space 2} .0130964{col 37}{space 1}   -3.14{col 46}{space 3}0.002{col 54}{space 4}-.0669994{col 67}{space 3}-.0153264
{txt}c_treatful.. {c |}{col 14}{res}{space 2}-.0323286{col 26}{space 2} .0802669{col 37}{space 1}   -0.40{col 46}{space 3}0.688{col 54}{space 4}-.1906792{col 67}{space 3}  .126022
{txt}c_treatful.. {c |}{col 14}{res}{space 2} .0025456{col 26}{space 2}   .00415{col 37}{space 1}    0.61{col 46}{space 3}0.540{col 54}{space 4}-.0056416{col 67}{space 3} .0107328
{txt}c_treatful.. {c |}{col 14}{res}{space 2} -.009133{col 26}{space 2} .0191486{col 37}{space 1}   -0.48{col 46}{space 3}0.634{col 54}{space 4}-.0469094{col 67}{space 3} .0286434
{txt}{space 7}_cons {c |}{col 14}{res}{space 2}-.0171218{col 26}{space 2} .0273524{col 37}{space 1}   -0.63{col 46}{space 3}0.532{col 54}{space 4}-.0710825{col 67}{space 3} .0368389
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull + treatfull_hc2 = 0{p_end}

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}   e_urate_z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}(1) {c |}{col 14}{res}{space 2} .0291977{col 26}{space 2} .0280077{col 37}{space 1}    1.04{col 46}{space 3}0.299{col 54}{space 4}-.0260559{col 67}{space 3} .0844512
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull + treatfull_hc2 = 0{p_end}

{txt}       F(  1,   186) ={res}    1.09
{txt}{col 13}Prob > F ={res}    0.2985
{txt}note: b_treatqual_z_d omitted because of collinearity
{res}
{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}     7,288
{txt}{col 49}F({res}  10{txt},{res}    186{txt}){col 67}= {res}      5.75
{txt}{col 49}Prob > F{col 67}= {res}    0.0000
{txt}{col 49}R-squared{col 67}= {res}    0.0985
{txt}{col 49}Adj R-squared{col 67}= {res}    0.0954
{txt}{col 49}Root MSE{col 67}= {res}    0.3520

{txt}{ralign 78:(Std. Err. adjusted for {res:187} clusters in hc_id)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}e_treatq~l_z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2}  .038458{col 26}{space 2} .0408995{col 37}{space 1}    0.94{col 46}{space 3}0.348{col 54}{space 4}-.0422285{col 67}{space 3} .1191445
{txt}treatfull_~2 {c |}{col 14}{res}{space 2} .0542245{col 26}{space 2}  .054752{col 37}{space 1}    0.99{col 46}{space 3}0.323{col 54}{space 4}-.0537902{col 67}{space 3} .1622392
{txt}{space 9}hc2 {c |}{col 14}{res}{space 2}-.0862278{col 26}{space 2} .0405149{col 37}{space 1}   -2.13{col 46}{space 3}0.035{col 54}{space 4}-.1661556{col 67}{space 3}   -.0063
{txt}b_treatq~l_z {c |}{col 14}{res}{space 2} .1013659{col 26}{space 2}  .020463{col 37}{space 1}    4.95{col 46}{space 3}0.000{col 54}{space 4} .0609964{col 67}{space 3} .1417353
{txt}b_trea~l_z_d {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
c_tfull_b_~d {c |}{col 14}{res}{space 2} .0048539{col 26}{space 2} .0236995{col 37}{space 1}    0.20{col 46}{space 3}0.838{col 54}{space 4}-.0419003{col 67}{space 3} .0516082
{txt}c_tfull_ed~r {c |}{col 14}{res}{space 2}-.0031784{col 26}{space 2} .0016427{col 37}{space 1}   -1.93{col 46}{space 3}0.055{col 54}{space 4}-.0064192{col 67}{space 3} .0000623
{txt}c_tfull_b_~x {c |}{col 14}{res}{space 2}-.0025654{col 26}{space 2} .0088199{col 37}{space 1}   -0.29{col 46}{space 3}0.771{col 54}{space 4}-.0199653{col 67}{space 3} .0148344
{txt}c_treatful.. {c |}{col 14}{res}{space 2}  .050496{col 26}{space 2} .0326539{col 37}{space 1}    1.55{col 46}{space 3}0.124{col 54}{space 4}-.0139236{col 67}{space 3} .1149156
{txt}c_treatful.. {c |}{col 14}{res}{space 2} .0029095{col 26}{space 2} .0022446{col 37}{space 1}    1.30{col 46}{space 3}0.197{col 54}{space 4}-.0015187{col 67}{space 3} .0073376
{txt}c_treatful.. {c |}{col 14}{res}{space 2}-.0178384{col 26}{space 2} .0138276{col 37}{space 1}   -1.29{col 46}{space 3}0.199{col 54}{space 4}-.0451175{col 67}{space 3} .0094407
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} .0506129{col 26}{space 2} .0275595{col 37}{space 1}    1.84{col 46}{space 3}0.068{col 54}{space 4}-.0037566{col 67}{space 3} .1049824
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull + treatfull_hc2 = 0{p_end}

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}e_treatq~l_z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}(1) {c |}{col 14}{res}{space 2} .0926825{col 26}{space 2} .0351072{col 37}{space 1}    2.64{col 46}{space 3}0.009{col 54}{space 4}  .023423{col 67}{space 3} .1619421
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull + treatfull_hc2 = 0{p_end}

{txt}       F(  1,   186) ={res}    6.97
{txt}{col 13}Prob > F ={res}    0.0090
{txt}note: b_patsat_z_d omitted because of collinearity
{res}
{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}     7,288
{txt}{col 49}F({res}  10{txt},{res}    186{txt}){col 67}= {res}     11.85
{txt}{col 49}Prob > F{col 67}= {res}    0.0000
{txt}{col 49}R-squared{col 67}= {res}    0.0397
{txt}{col 49}Adj R-squared{col 67}= {res}    0.0364
{txt}{col 49}Root MSE{col 67}= {res}    0.5869

{txt}{ralign 78:(Std. Err. adjusted for {res:187} clusters in hc_id)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}  e_patsat_z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2} .1000477{col 26}{space 2} .0349227{col 37}{space 1}    2.86{col 46}{space 3}0.005{col 54}{space 4} .0311523{col 67}{space 3} .1689432
{txt}treatfull_~2 {c |}{col 14}{res}{space 2}-.0392147{col 26}{space 2} .0487154{col 37}{space 1}   -0.80{col 46}{space 3}0.422{col 54}{space 4}-.1353204{col 67}{space 3} .0568909
{txt}{space 9}hc2 {c |}{col 14}{res}{space 2}-.0406458{col 26}{space 2} .0367092{col 37}{space 1}   -1.11{col 46}{space 3}0.270{col 54}{space 4}-.1130657{col 67}{space 3}  .031774
{txt}{space 2}b_patsat_z {c |}{col 14}{res}{space 2} .1392597{col 26}{space 2} .0151588{col 37}{space 1}    9.19{col 46}{space 3}0.000{col 54}{space 4} .1093544{col 67}{space 3} .1691651
{txt}b_patsat_z_d {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
c_tfull_b_~d {c |}{col 14}{res}{space 2} .0040667{col 26}{space 2} .0430795{col 37}{space 1}    0.09{col 46}{space 3}0.925{col 54}{space 4}-.0809206{col 67}{space 3} .0890539
{txt}c_tfull_ed~r {c |}{col 14}{res}{space 2} .0021918{col 26}{space 2} .0027573{col 37}{space 1}    0.79{col 46}{space 3}0.428{col 54}{space 4}-.0032477{col 67}{space 3} .0076314
{txt}c_tfull_b_~x {c |}{col 14}{res}{space 2} .0073748{col 26}{space 2} .0099709{col 37}{space 1}    0.74{col 46}{space 3}0.460{col 54}{space 4}-.0122958{col 67}{space 3} .0270453
{txt}c_treatful.. {c |}{col 14}{res}{space 2}-.0275896{col 26}{space 2} .0514411{col 37}{space 1}   -0.54{col 46}{space 3}0.592{col 54}{space 4}-.1290726{col 67}{space 3} .0738934
{txt}c_treatful.. {c |}{col 14}{res}{space 2} .0020706{col 26}{space 2} .0036725{col 37}{space 1}    0.56{col 46}{space 3}0.574{col 54}{space 4}-.0051746{col 67}{space 3} .0093157
{txt}c_treatful.. {c |}{col 14}{res}{space 2}-.0145496{col 26}{space 2} .0142039{col 37}{space 1}   -1.02{col 46}{space 3}0.307{col 54}{space 4} -.042571{col 67}{space 3} .0134719
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} .0221231{col 26}{space 2} .0275107{col 37}{space 1}    0.80{col 46}{space 3}0.422{col 54}{space 4}-.0321501{col 67}{space 3} .0763963
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull + treatfull_hc2 = 0{p_end}

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}  e_patsat_z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}(1) {c |}{col 14}{res}{space 2}  .060833{col 26}{space 2} .0333956{col 37}{space 1}    1.82{col 46}{space 3}0.070{col 54}{space 4}-.0050498{col 67}{space 3} .1267158
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull + treatfull_hc2 = 0{p_end}

{txt}       F(  1,   186) ={res}    3.32
{txt}{col 13}Prob > F ={res}    0.0701
{txt}note: b_commtg_z_d omitted because of collinearity
{res}
{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}     7,288
{txt}{col 49}F({res}  10{txt},{res}    186{txt}){col 67}= {res}      8.94
{txt}{col 49}Prob > F{col 67}= {res}    0.0000
{txt}{col 49}R-squared{col 67}= {res}    0.0944
{txt}{col 49}Adj R-squared{col 67}= {res}    0.0913
{txt}{col 49}Root MSE{col 67}= {res}    0.5594

{txt}{ralign 78:(Std. Err. adjusted for {res:187} clusters in hc_id)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}  e_commtg_z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2} .0090505{col 26}{space 2} .0443088{col 37}{space 1}    0.20{col 46}{space 3}0.838{col 54}{space 4}-.0783619{col 67}{space 3} .0964629
{txt}treatfull_~2 {c |}{col 14}{res}{space 2}-.0058473{col 26}{space 2} .0591278{col 37}{space 1}   -0.10{col 46}{space 3}0.921{col 54}{space 4}-.1224946{col 67}{space 3} .1107999
{txt}{space 9}hc2 {c |}{col 14}{res}{space 2} .0814825{col 26}{space 2} .0387392{col 37}{space 1}    2.10{col 46}{space 3}0.037{col 54}{space 4} .0050578{col 67}{space 3} .1579072
{txt}{space 2}b_commtg_z {c |}{col 14}{res}{space 2}  .074614{col 26}{space 2} .0134498{col 37}{space 1}    5.55{col 46}{space 3}0.000{col 54}{space 4} .0480801{col 67}{space 3} .1011478
{txt}b_commtg_z_d {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
c_tfull_b_~d {c |}{col 14}{res}{space 2} .0453512{col 26}{space 2} .0468928{col 37}{space 1}    0.97{col 46}{space 3}0.335{col 54}{space 4} -.047159{col 67}{space 3} .1378614
{txt}c_tfull_ed~r {c |}{col 14}{res}{space 2} .0040813{col 26}{space 2} .0024075{col 37}{space 1}    1.70{col 46}{space 3}0.092{col 54}{space 4}-.0006681{col 67}{space 3} .0088308
{txt}c_tfull_b_~x {c |}{col 14}{res}{space 2} .0292309{col 26}{space 2} .0116967{col 37}{space 1}    2.50{col 46}{space 3}0.013{col 54}{space 4} .0061556{col 67}{space 3} .0523062
{txt}c_treatful.. {c |}{col 14}{res}{space 2} .1070597{col 26}{space 2} .0640583{col 37}{space 1}    1.67{col 46}{space 3}0.096{col 54}{space 4}-.0193146{col 67}{space 3}  .233434
{txt}c_treatful.. {c |}{col 14}{res}{space 2}  .000815{col 26}{space 2} .0034749{col 37}{space 1}    0.23{col 46}{space 3}0.815{col 54}{space 4}-.0060403{col 67}{space 3} .0076703
{txt}c_treatful.. {c |}{col 14}{res}{space 2}-.0074662{col 26}{space 2} .0186109{col 37}{space 1}   -0.40{col 46}{space 3}0.689{col 54}{space 4}-.0441818{col 67}{space 3} .0292493
{txt}{space 7}_cons {c |}{col 14}{res}{space 2}-.0445388{col 26}{space 2} .0243434{col 37}{space 1}   -1.83{col 46}{space 3}0.069{col 54}{space 4}-.0925634{col 67}{space 3} .0034859
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull + treatfull_hc2 = 0{p_end}

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}  e_commtg_z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}(1) {c |}{col 14}{res}{space 2} .0032032{col 26}{space 2} .0375166{col 37}{space 1}    0.09{col 46}{space 3}0.932{col 54}{space 4}-.0708095{col 67}{space 3} .0772159
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull + treatfull_hc2 = 0{p_end}

{txt}       F(  1,   186) ={res}    0.01
{txt}{col 13}Prob > F ={res}    0.9321
{txt}
{com}.                 
.         * Subgroup effects: Treatment Quality
.         
.         * We local control variables with the HC level components
.         
.         local  e_controls_noprefix hc2 b_h_del b_h_staff_houses b_visited_d educyr b_assetindex
{txt}
{com}.                 
.         foreach x in e_ {c -(}
{txt}  2{com}.                 
.                 local `x'controls
{txt}  3{com}.                 local `x'controls_hc
{txt}  4{com}.                 
.                 local `x'controls_tfull
{txt}  5{com}.                 local `x'controls_tfull_hc
{txt}  6{com}.                         
.                 {c )-}
{txt}
{com}.                 
.         foreach x in e_ {c -(}
{txt}  2{com}.                 foreach var in treatfull {c -(}
{txt}  3{com}.                 
.                         local `var'_int_`x'controls
{txt}  4{com}.                         local `var'_hc_int_`x'controls
{txt}  5{com}.                         
.                         {c )-}
{txt}  6{com}.                 {c )-}
{txt}
{com}.                                 
.         foreach var of local e_controls_noprefix {c -(}
{txt}  2{com}.                 local e_controls `e_controls' c_`var'
{txt}  3{com}.                 local e_controls_tfull `e_controls_tfull' c_tfull_`var'
{txt}  4{com}.                 
.                 local e_controls_hc `e_controls_hc' c_hc_`var'
{txt}  5{com}.                 local e_controls_tfull_hc `e_controls_tfull_hc' c_tfull_hc_`var'
{txt}  6{com}.                 {c )-}
{txt}
{com}.                         
.         foreach treat in treatfull {c -(}
{txt}  2{com}.                 foreach var of local e_controls_noprefix {c -(}
{txt}  3{com}.                 
.                         local `treat'_int_e_controls ``treat'_int_e_controls' c_`treat'_`var'
{txt}  4{com}.                         local `treat'_hc_int_e_controls ``treat'_hc_int_e_controls' c_`treat'_hc_`var'
{txt}  5{com}.                         
.                         {c )-}
{txt}  6{com}.                 {c )-}
{txt}
{com}.                 
.         * We regress the results
.         
.         foreach x in `indices' {c -(}
{txt}  2{com}.                 areg e_`x' treatfull treatfull_treatqual b_treatqual_z_med_d b_`x' b_`x'_d `e_controls_tfull' `treatfull_int_e_controls', robust cl(hc_id) a(district)
{txt}  3{com}.                 eststo e_`x'_treatqual
{txt}  4{com}.                 local n_treatqual_`x' = string(e(N),"%9.0fc")
{txt}  5{com}.                 local r2_treatqual_`x' = string(e(r2),"%9.3fc")
{txt}  6{com}.                 
.                 lincom treatfull + treatfull_treatqual
{txt}  7{com}.                 local est_treatqual_`x' = r(estimate)
{txt}  8{com}.                 local se_treatqual_`x' = r(se)
{txt}  9{com}.                 test treatfull + treatfull_treatqual = 0
{txt} 10{com}.                 local p_treatqual_`x' = r(p)
{txt} 11{com}.                 
.                 local est_btreatqual_`x' = string(_b[treatfull],"%9.3fc")
{txt} 12{com}.                 local se_btreatqual_`x' = string(_se[treatfull],"%9.3fc")
{txt} 13{com}.                 local p_btreatqual_`x' = (2 * ttail(e(df_r), abs(_b[treatfull]/_se[treatfull])))
{txt} 14{com}.                 
.                 local est_tmxtqual_`x' = string(_b[treatfull_treatqual],"%9.3fc")
{txt} 15{com}.                 local se_tmxtqual_`x' = string(_se[treatfull_treatqual],"%9.3fc")
{txt} 16{com}.                 local p_tmxtqual_`x' = (2 * ttail(e(df_r), abs(_b[treatfull_treatqual]/_se[treatfull_treatqual])))
{txt} 17{com}.                 
.                 local est_smtqual_`x' = string(_b[b_treatqual_z_med_d],"%9.3fc")
{txt} 18{com}.                 local se_smtqual_`x' = string(_se[b_treatqual_z_med_d],"%9.3fc")
{txt} 19{com}.                 local p_smtqual_`x' = (2 * ttail(e(df_r), abs(_b[b_treatqual_z_med_d]/_se[b_treatqual_z_med_d])))
{txt} 20{com}.                 
.                 local est_ctqual_`x' = string(_b[_cons],"%9.3fc")
{txt} 21{com}.                 local se_ctqual_`x' = string(_se[_cons],"%9.3fc")
{txt} 22{com}.                 local p_ctqual_`x' = (2 * ttail(e(df_r), abs(_b[_cons]/_se[_cons])))
{txt} 23{com}.                 
.                 foreach var in btreatqual tmxtqual smtqual ctqual {c -(}
{txt} 24{com}.                 
.                         gen sign_`var'_zero_`x' = (`p_`var'_`x''>0.1)
{txt} 25{com}.                         gen sign_`var'_p1s_`x' = (`p_`var'_`x''<=0.1 & `p_`var'_`x''>0.05 & `est_`var'_`x''>0)
{txt} 26{com}.                         gen sign_`var'_p2s_`x' = (`p_`var'_`x''<=0.05 & `p_`var'_`x''>0.01 & `est_`var'_`x''>0)
{txt} 27{com}.                         gen sign_`var'_p3s_`x' = (`p_`var'_`x''<=0.01 & `p_`var'_`x''>=0 & `est_`var'_`x''>0)
{txt} 28{com}.                         gen sign_`var'_m1s_`x' = (`p_`var'_`x''<=0.1 & `p_`var'_`x''>0.05 & `est_`var'_`x''<0)
{txt} 29{com}.                         gen sign_`var'_m2s_`x' = (`p_`var'_`x''<=0.05 & `p_`var'_`x''>0.01 & `est_`var'_`x''<0)
{txt} 30{com}.                         gen sign_`var'_m3s_`x' = (`p_`var'_`x''<=0.01 & `p_`var'_`x''>=0 & `est_`var'_`x''<0)
{txt} 31{com}.                         
.                         if sign_`var'_p1s_`x' == 1 {c -(}
{txt} 32{com}.                                         local sign_`var'_`x' = "\cellcolor[HTML]{c -(}EFEFEF{c )-}+"
{txt} 33{com}.                                         local est_`var'_`x' = "`est_`var'_`x''*"
{txt} 34{com}.                                         {c )-}
{txt} 35{com}.                                         
.                         if sign_`var'_p2s_`x' == 1 {c -(}    
{txt} 36{com}.                                         local sign_`var'_`x' = "\cellcolor[HTML]{c -(}C0C0C0{c )-}+"
{txt} 37{com}.                                         local est_`var'_`x' = "`est_`var'_`x''**"
{txt} 38{com}.                                         {c )-}
{txt} 39{com}.                                         
.                         if sign_`var'_p3s_`x' == 1 {c -(}    
{txt} 40{com}.                                         local sign_`var'_`x' = "\cellcolor[HTML]{c -(}9B9B9B{c )-}+"
{txt} 41{com}.                                         local est_`var'_`x' = "`est_`var'_`x''***"
{txt} 42{com}.                                         {c )-}
{txt} 43{com}.                                 
.                         if sign_`var'_m1s_`x' == 1 {c -(}
{txt} 44{com}.                                         local sign_`var'_`x' = "\cellcolor[HTML]{c -(}EFEFEF{c )-}-"
{txt} 45{com}.                                         local est_`var'_`x' = "`est_`var'_`x''*"
{txt} 46{com}.                                         {c )-}
{txt} 47{com}.                                         
.                         if sign_`var'_m2s_`x' == 1 {c -(}    
{txt} 48{com}.                                         local sign_`var'_`x' = "\cellcolor[HTML]{c -(}C0C0C0{c )-}-"
{txt} 49{com}.                                         local est_`var'_`x' = "`est_`var'_`x''**"
{txt} 50{com}.                                         {c )-}
{txt} 51{com}.                                         
.                         if sign_`var'_m3s_`x' == 1 {c -(}    
{txt} 52{com}.                                         local sign_`var'_`x' = "\cellcolor[HTML]{c -(}9B9B9B{c )-}-"
{txt} 53{com}.                                         local est_`var'_`x' = "`est_`var'_`x''***"
{txt} 54{com}.                                         {c )-}
{txt} 55{com}.                                 
.                         if sign_`var'_zero_`x' == 1 {c -(}
{txt} 56{com}.                                 local sign_`var'_`x' = "0"
{txt} 57{com}.                                 {c )-}
{txt} 58{com}.                                 
.                         {c )-}
{txt} 59{com}. 
.                 
.                 gen sign_treatqual_zero_`x' = (`p_treatqual_`x''>0.1)
{txt} 60{com}.                 gen sign_treatqual_p1s_`x' = (`p_treatqual_`x''<=0.1 & `p_treatqual_`x''>0.05 & `est_treatqual_`x''>0)
{txt} 61{com}.                 gen sign_treatqual_p2s_`x' = (`p_treatqual_`x''<=0.05 & `p_treatqual_`x''>0.01 & `est_treatqual_`x''>0)
{txt} 62{com}.                 gen sign_treatqual_p3s_`x' = (`p_treatqual_`x''<=0.01 & `p_treatqual_`x''>=0 & `est_treatqual_`x''>0)
{txt} 63{com}.                 gen sign_treatqual_m1s_`x' = (`p_treatqual_`x''<=0.1 & `p_treatqual_`x''>0.05 & `est_treatqual_`x''<0)
{txt} 64{com}.                 gen sign_treatqual_m2s_`x' = (`p_treatqual_`x''<=0.05 & `p_treatqual_`x''>0.01 & `est_treatqual_`x''<0)
{txt} 65{com}.                 gen sign_treatqual_m3s_`x' = (`p_treatqual_`x''<=0.01 & `p_treatqual_`x''>=0 & `est_treatqual_`x''<0)
{txt} 66{com}.                 
.                 local p_treatqual_`x' = string(`p_treatqual_`x'',"%9.3fc")
{txt} 67{com}.                 local est_treatqual_`x' = string(`est_treatqual_`x'',"%9.3fc")
{txt} 68{com}.                 local se_treatqual_`x' = string(`se_treatqual_`x'',"%9.3fc")
{txt} 69{com}.                 
.                 if sign_treatqual_p1s_`x' == 1 {c -(}
{txt} 70{com}.                                 local sign_treatqual_`x' = "\cellcolor[HTML]{c -(}EFEFEF{c )-}+"
{txt} 71{com}.                                 local est_treatqual_`x' = "`est_treatqual_`x''*"
{txt} 72{com}.                                 {c )-}
{txt} 73{com}.                                 
.                 if sign_treatqual_p2s_`x' == 1 {c -(}        
{txt} 74{com}.                                 local sign_treatqual_`x' = "\cellcolor[HTML]{c -(}C0C0C0{c )-}+"
{txt} 75{com}.                                 local est_treatqual_`x' = "`est_treatqual_`x''**"
{txt} 76{com}.                                 {c )-}
{txt} 77{com}.                                 
.                 if sign_treatqual_p3s_`x' == 1 {c -(}        
{txt} 78{com}.                                 local sign_treatqual_`x' = "\cellcolor[HTML]{c -(}9B9B9B{c )-}+"
{txt} 79{com}.                                 local est_treatqual_`x' = "`est_treatqual_`x''***"
{txt} 80{com}.                                 {c )-}
{txt} 81{com}.                         
.                 if sign_treatqual_m1s_`x' == 1 {c -(}
{txt} 82{com}.                                 local sign_treatqual_`x' = "\cellcolor[HTML]{c -(}EFEFEF{c )-}-"
{txt} 83{com}.                                 local est_treatqual_`x' = "`est_treatqual_`x''*"
{txt} 84{com}.                                 {c )-}
{txt} 85{com}.                                 
.                 if sign_treatqual_m2s_`x' == 1 {c -(}        
{txt} 86{com}.                                 local sign_treatqual_`x' = "\cellcolor[HTML]{c -(}C0C0C0{c )-}-"
{txt} 87{com}.                                 local est_treatqual_`x' = "`est_treatqual_`x''**"
{txt} 88{com}.                                 {c )-}
{txt} 89{com}.                                 
.                 if sign_treatqual_m3s_`x' == 1 {c -(}        
{txt} 90{com}.                                 local sign_treatqual_`x' = "\cellcolor[HTML]{c -(}9B9B9B{c )-}-"
{txt} 91{com}.                                 local est_treatqual_`x' = "`est_treatqual_`x''***"
{txt} 92{com}.                                 {c )-}
{txt} 93{com}.                         
.                 if sign_treatqual_zero_`x' == 1 {c -(}
{txt} 94{com}.                         local sign_treatqual_`x' = "0"
{txt} 95{com}.                         {c )-}
{txt} 96{com}.                 
.                 drop sign_*
{txt} 97{com}.                 
.                 {c )-}
{txt}note: b_urate_z_d omitted because of collinearity
{res}
{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}     7,288
{txt}{col 49}F({res}  16{txt},{res}    186{txt}){col 67}= {res}     52.26
{txt}{col 49}Prob > F{col 67}= {res}    0.0000
{txt}{col 49}R-squared{col 67}= {res}    0.2304
{txt}{col 49}Adj R-squared{col 67}= {res}    0.2272
{txt}{col 49}Root MSE{col 67}= {res}    0.6614

{txt}{ralign 78:(Std. Err. adjusted for {res:187} clusters in hc_id)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}   e_urate_z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2} .0350696{col 26}{space 2} .0288452{col 37}{space 1}    1.22{col 46}{space 3}0.226{col 54}{space 4}-.0218363{col 67}{space 3} .0919755
{txt}treatful~ual {c |}{col 14}{res}{space 2}-.0172251{col 26}{space 2}  .033782{col 37}{space 1}   -0.51{col 46}{space 3}0.611{col 54}{space 4}-.0838702{col 67}{space 3}   .04942
{txt}b_treatq~d_d {c |}{col 14}{res}{space 2} -.006389{col 26}{space 2} .0225635{col 37}{space 1}   -0.28{col 46}{space 3}0.777{col 54}{space 4}-.0509024{col 67}{space 3} .0381243
{txt}{space 3}b_urate_z {c |}{col 14}{res}{space 2} .3543225{col 26}{space 2}  .014677{col 37}{space 1}   24.14{col 46}{space 3}0.000{col 54}{space 4} .3253677{col 67}{space 3} .3832774
{txt}{space 1}b_urate_z_d {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 1}c_tfull_hc2 {c |}{col 14}{res}{space 2} .0267571{col 26}{space 2} .0425614{col 37}{space 1}    0.63{col 46}{space 3}0.530{col 54}{space 4} -.057208{col 67}{space 3} .1107223
{txt}c_tfull_b_~l {c |}{col 14}{res}{space 2} .0344331{col 26}{space 2} .0477004{col 37}{space 1}    0.72{col 46}{space 3}0.471{col 54}{space 4}-.0596704{col 67}{space 3} .1285365
{txt}c_tfull_b_~s {c |}{col 14}{res}{space 2} .0448872{col 26}{space 2} .0490461{col 37}{space 1}    0.92{col 46}{space 3}0.361{col 54}{space 4}-.0518708{col 67}{space 3} .1416453
{txt}c_tfull_b_~d {c |}{col 14}{res}{space 2} .1657286{col 26}{space 2} .0589771{col 37}{space 1}    2.81{col 46}{space 3}0.005{col 54}{space 4} .0493786{col 67}{space 3} .2820786
{txt}c_tfull_ed~r {c |}{col 14}{res}{space 2}-.0127178{col 26}{space 2}   .00284{col 37}{space 1}   -4.48{col 46}{space 3}0.000{col 54}{space 4}-.0183206{col 67}{space 3}-.0071151
{txt}c_tfull_b_~x {c |}{col 14}{res}{space 2}-.0386654{col 26}{space 2} .0130358{col 37}{space 1}   -2.97{col 46}{space 3}0.003{col 54}{space 4}-.0643824{col 67}{space 3}-.0129484
{txt}c_trea~l_hc2 {c |}{col 14}{res}{space 2}-.0159359{col 26}{space 2} .0525308{col 37}{space 1}   -0.30{col 46}{space 3}0.762{col 54}{space 4}-.1195687{col 67}{space 3} .0876968
{txt}c_treatful.. {c |}{col 14}{res}{space 2}-.0216963{col 26}{space 2} .0566567{col 37}{space 1}   -0.38{col 46}{space 3}0.702{col 54}{space 4}-.1334687{col 67}{space 3} .0900761
{txt}c_treatful.. {c |}{col 14}{res}{space 2}-.0299301{col 26}{space 2} .0697799{col 37}{space 1}   -0.43{col 46}{space 3}0.668{col 54}{space 4}-.1675919{col 67}{space 3} .1077316
{txt}c_treatful.. {c |}{col 14}{res}{space 2} -.037315{col 26}{space 2} .0813143{col 37}{space 1}   -0.46{col 46}{space 3}0.647{col 54}{space 4}-.1977319{col 67}{space 3} .1231019
{txt}c_treatful.. {c |}{col 14}{res}{space 2}  .002744{col 26}{space 2} .0041541{col 37}{space 1}    0.66{col 46}{space 3}0.510{col 54}{space 4}-.0054512{col 67}{space 3} .0109392
{txt}c_treatful.. {c |}{col 14}{res}{space 2}-.0123862{col 26}{space 2} .0189222{col 37}{space 1}   -0.65{col 46}{space 3}0.514{col 54}{space 4} -.049716{col 67}{space 3} .0249437
{txt}{space 7}_cons {c |}{col 14}{res}{space 2}-.0164653{col 26}{space 2}  .021223{col 37}{space 1}   -0.78{col 46}{space 3}0.439{col 54}{space 4} -.058334{col 67}{space 3} .0254035
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull + treatfull_treatqual = 0{p_end}

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}   e_urate_z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}(1) {c |}{col 14}{res}{space 2} .0178445{col 26}{space 2} .0261699{col 37}{space 1}    0.68{col 46}{space 3}0.496{col 54}{space 4}-.0337835{col 67}{space 3} .0694725
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull + treatfull_treatqual = 0{p_end}

{txt}       F(  1,   186) ={res}    0.46
{txt}{col 13}Prob > F ={res}    0.4962
{txt}note: b_treatqual_z_d omitted because of collinearity
{res}
{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}     7,288
{txt}{col 49}F({res}  16{txt},{res}    186{txt}){col 67}= {res}      3.88
{txt}{col 49}Prob > F{col 67}= {res}    0.0000
{txt}{col 49}R-squared{col 67}= {res}    0.1031
{txt}{col 49}Adj R-squared{col 67}= {res}    0.0993
{txt}{col 49}Root MSE{col 67}= {res}    0.3513

{txt}{ralign 78:(Std. Err. adjusted for {res:187} clusters in hc_id)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}e_treatq~l_z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2} .0502715{col 26}{space 2} .0281364{col 37}{space 1}    1.79{col 46}{space 3}0.076{col 54}{space 4}-.0052359{col 67}{space 3} .1057789
{txt}treatful~ual {c |}{col 14}{res}{space 2}  .039289{col 26}{space 2} .0258401{col 37}{space 1}    1.52{col 46}{space 3}0.130{col 54}{space 4}-.0116884{col 67}{space 3} .0902664
{txt}b_treatq~d_d {c |}{col 14}{res}{space 2}-.0084936{col 26}{space 2} .0204347{col 37}{space 1}   -0.42{col 46}{space 3}0.678{col 54}{space 4}-.0488072{col 67}{space 3} .0318199
{txt}b_treatq~l_z {c |}{col 14}{res}{space 2} .1132992{col 26}{space 2}   .02846{col 37}{space 1}    3.98{col 46}{space 3}0.000{col 54}{space 4} .0571533{col 67}{space 3} .1694452
{txt}b_trea~l_z_d {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 1}c_tfull_hc2 {c |}{col 14}{res}{space 2}-.0700574{col 26}{space 2} .0529805{col 37}{space 1}   -1.32{col 46}{space 3}0.188{col 54}{space 4}-.1745774{col 67}{space 3} .0344625
{txt}c_tfull_b_~l {c |}{col 14}{res}{space 2}-.0193089{col 26}{space 2} .0573554{col 37}{space 1}   -0.34{col 46}{space 3}0.737{col 54}{space 4}-.1324596{col 67}{space 3} .0938417
{txt}c_tfull_b_~s {c |}{col 14}{res}{space 2} .0770776{col 26}{space 2}  .057593{col 37}{space 1}    1.34{col 46}{space 3}0.182{col 54}{space 4}-.0365419{col 67}{space 3}  .190697
{txt}c_tfull_b_~d {c |}{col 14}{res}{space 2} .0092496{col 26}{space 2} .0235388{col 37}{space 1}    0.39{col 46}{space 3}0.695{col 54}{space 4}-.0371877{col 67}{space 3} .0556869
{txt}c_tfull_ed~r {c |}{col 14}{res}{space 2}-.0030469{col 26}{space 2} .0015938{col 37}{space 1}   -1.91{col 46}{space 3}0.057{col 54}{space 4}-.0061911{col 67}{space 3} .0000974
{txt}c_tfull_b_~x {c |}{col 14}{res}{space 2}-.0027314{col 26}{space 2} .0082649{col 37}{space 1}   -0.33{col 46}{space 3}0.741{col 54}{space 4}-.0190363{col 67}{space 3} .0135736
{txt}c_trea~l_hc2 {c |}{col 14}{res}{space 2}  .057271{col 26}{space 2} .0661979{col 37}{space 1}    0.87{col 46}{space 3}0.388{col 54}{space 4}-.0733243{col 67}{space 3} .1878662
{txt}c_treatful.. {c |}{col 14}{res}{space 2} .0769879{col 26}{space 2} .0671516{col 37}{space 1}    1.15{col 46}{space 3}0.253{col 54}{space 4}-.0554888{col 67}{space 3} .2094646
{txt}c_treatful.. {c |}{col 14}{res}{space 2} -.107689{col 26}{space 2} .0725983{col 37}{space 1}   -1.48{col 46}{space 3}0.140{col 54}{space 4}-.2509109{col 67}{space 3}  .035533
{txt}c_treatful.. {c |}{col 14}{res}{space 2} .0459799{col 26}{space 2} .0323899{col 37}{space 1}    1.42{col 46}{space 3}0.157{col 54}{space 4}-.0179189{col 67}{space 3} .1098787
{txt}c_treatful.. {c |}{col 14}{res}{space 2} .0025178{col 26}{space 2} .0022087{col 37}{space 1}    1.14{col 46}{space 3}0.256{col 54}{space 4}-.0018395{col 67}{space 3} .0068752
{txt}c_treatful.. {c |}{col 14}{res}{space 2}-.0184656{col 26}{space 2} .0129201{col 37}{space 1}   -1.43{col 46}{space 3}0.155{col 54}{space 4}-.0439544{col 67}{space 3} .0070232
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} .0047782{col 26}{space 2} .0214244{col 37}{space 1}    0.22{col 46}{space 3}0.824{col 54}{space 4}-.0374879{col 67}{space 3} .0470443
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull + treatfull_treatqual = 0{p_end}

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}e_treatq~l_z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}(1) {c |}{col 14}{res}{space 2} .0895605{col 26}{space 2} .0298716{col 37}{space 1}    3.00{col 46}{space 3}0.003{col 54}{space 4} .0306298{col 67}{space 3} .1484911
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull + treatfull_treatqual = 0{p_end}

{txt}       F(  1,   186) ={res}    8.99
{txt}{col 13}Prob > F ={res}    0.0031
{txt}note: b_patsat_z_d omitted because of collinearity
{res}
{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}     7,288
{txt}{col 49}F({res}  16{txt},{res}    186{txt}){col 67}= {res}      8.17
{txt}{col 49}Prob > F{col 67}= {res}    0.0000
{txt}{col 49}R-squared{col 67}= {res}    0.0435
{txt}{col 49}Adj R-squared{col 67}= {res}    0.0394
{txt}{col 49}Root MSE{col 67}= {res}    0.5860

{txt}{ralign 78:(Std. Err. adjusted for {res:187} clusters in hc_id)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}  e_patsat_z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2} .0514531{col 26}{space 2} .0282395{col 37}{space 1}    1.82{col 46}{space 3}0.070{col 54}{space 4}-.0042578{col 67}{space 3} .1071641
{txt}treatful~ual {c |}{col 14}{res}{space 2} .0484087{col 26}{space 2} .0381324{col 37}{space 1}    1.27{col 46}{space 3}0.206{col 54}{space 4}-.0268188{col 67}{space 3} .1236362
{txt}b_treatq~d_d {c |}{col 14}{res}{space 2}-.0523231{col 26}{space 2}  .028597{col 37}{space 1}   -1.83{col 46}{space 3}0.069{col 54}{space 4}-.1087394{col 67}{space 3} .0040931
{txt}{space 2}b_patsat_z {c |}{col 14}{res}{space 2} .1357025{col 26}{space 2} .0153049{col 37}{space 1}    8.87{col 46}{space 3}0.000{col 54}{space 4} .1055089{col 67}{space 3}  .165896
{txt}b_patsat_z_d {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 1}c_tfull_hc2 {c |}{col 14}{res}{space 2} .0147992{col 26}{space 2} .0399885{col 37}{space 1}    0.37{col 46}{space 3}0.712{col 54}{space 4}-.0640902{col 67}{space 3} .0936886
{txt}c_tfull_b_~l {c |}{col 14}{res}{space 2} .0945419{col 26}{space 2} .0512164{col 37}{space 1}    1.85{col 46}{space 3}0.066{col 54}{space 4}-.0064978{col 67}{space 3} .1955815
{txt}c_tfull_b_~s {c |}{col 14}{res}{space 2} .0058232{col 26}{space 2} .0635651{col 37}{space 1}    0.09{col 46}{space 3}0.927{col 54}{space 4} -.119578{col 67}{space 3} .1312244
{txt}c_tfull_b_~d {c |}{col 14}{res}{space 2} .0099333{col 26}{space 2} .0417992{col 37}{space 1}    0.24{col 46}{space 3}0.812{col 54}{space 4}-.0725281{col 67}{space 3} .0923947
{txt}c_tfull_ed~r {c |}{col 14}{res}{space 2} .0017291{col 26}{space 2} .0028072{col 37}{space 1}    0.62{col 46}{space 3}0.539{col 54}{space 4} -.003809{col 67}{space 3} .0072671
{txt}c_tfull_b_~x {c |}{col 14}{res}{space 2} .0156841{col 26}{space 2} .0097727{col 37}{space 1}    1.60{col 46}{space 3}0.110{col 54}{space 4}-.0035956{col 67}{space 3} .0349638
{txt}c_trea~l_hc2 {c |}{col 14}{res}{space 2}-.1200987{col 26}{space 2} .0544332{col 37}{space 1}   -2.21{col 46}{space 3}0.029{col 54}{space 4}-.2274845{col 67}{space 3}-.0127129
{txt}c_treatful.. {c |}{col 14}{res}{space 2}-.1571364{col 26}{space 2} .0636399{col 37}{space 1}   -2.47{col 46}{space 3}0.014{col 54}{space 4}-.2826853{col 67}{space 3}-.0315876
{txt}c_treatful.. {c |}{col 14}{res}{space 2} .0085246{col 26}{space 2} .0745861{col 37}{space 1}    0.11{col 46}{space 3}0.909{col 54}{space 4}-.1386188{col 67}{space 3} .1556681
{txt}c_treatful.. {c |}{col 14}{res}{space 2}-.0299131{col 26}{space 2} .0502939{col 37}{space 1}   -0.59{col 46}{space 3}0.553{col 54}{space 4}-.1291329{col 67}{space 3} .0693068
{txt}c_treatful.. {c |}{col 14}{res}{space 2} .0028148{col 26}{space 2} .0037051{col 37}{space 1}    0.76{col 46}{space 3}0.448{col 54}{space 4}-.0044946{col 67}{space 3} .0101241
{txt}c_treatful.. {c |}{col 14}{res}{space 2}-.0280424{col 26}{space 2} .0141763{col 37}{space 1}   -1.98{col 46}{space 3}0.049{col 54}{space 4}-.0560094{col 67}{space 3}-.0000753
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} .0251109{col 26}{space 2} .0206545{col 37}{space 1}    1.22{col 46}{space 3}0.226{col 54}{space 4}-.0156362{col 67}{space 3} .0658581
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull + treatfull_treatqual = 0{p_end}

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}  e_patsat_z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}(1) {c |}{col 14}{res}{space 2} .0998618{col 26}{space 2} .0320478{col 37}{space 1}    3.12{col 46}{space 3}0.002{col 54}{space 4}  .036638{col 67}{space 3} .1630857
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull + treatfull_treatqual = 0{p_end}

{txt}       F(  1,   186) ={res}    9.71
{txt}{col 13}Prob > F ={res}    0.0021
{txt}note: b_commtg_z_d omitted because of collinearity
{res}
{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}     7,288
{txt}{col 49}F({res}  16{txt},{res}    186{txt}){col 67}= {res}      7.12
{txt}{col 49}Prob > F{col 67}= {res}    0.0000
{txt}{col 49}R-squared{col 67}= {res}    0.0983
{txt}{col 49}Adj R-squared{col 67}= {res}    0.0944
{txt}{col 49}Root MSE{col 67}= {res}    0.5585

{txt}{ralign 78:(Std. Err. adjusted for {res:187} clusters in hc_id)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}  e_commtg_z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2}-.0040408{col 26}{space 2} .0319943{col 37}{space 1}   -0.13{col 46}{space 3}0.900{col 54}{space 4}-.0671592{col 67}{space 3} .0590775
{txt}treatful~ual {c |}{col 14}{res}{space 2}   .01665{col 26}{space 2} .0372488{col 37}{space 1}    0.45{col 46}{space 3}0.655{col 54}{space 4}-.0568343{col 67}{space 3} .0901344
{txt}b_treatq~d_d {c |}{col 14}{res}{space 2}-.0457467{col 26}{space 2} .0237293{col 37}{space 1}   -1.93{col 46}{space 3}0.055{col 54}{space 4}-.0925599{col 67}{space 3} .0010665
{txt}{space 2}b_commtg_z {c |}{col 14}{res}{space 2} .0740966{col 26}{space 2}  .013497{col 37}{space 1}    5.49{col 46}{space 3}0.000{col 54}{space 4} .0474697{col 67}{space 3} .1007236
{txt}b_commtg_z_d {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 1}c_tfull_hc2 {c |}{col 14}{res}{space 2} .1141661{col 26}{space 2} .0474993{col 37}{space 1}    2.40{col 46}{space 3}0.017{col 54}{space 4} .0204595{col 67}{space 3} .2078727
{txt}c_tfull_b_~l {c |}{col 14}{res}{space 2} .0495486{col 26}{space 2} .0691057{col 37}{space 1}    0.72{col 46}{space 3}0.474{col 54}{space 4}-.0867831{col 67}{space 3} .1858804
{txt}c_tfull_b_~s {c |}{col 14}{res}{space 2}-.0069113{col 26}{space 2} .0802001{col 37}{space 1}   -0.09{col 46}{space 3}0.931{col 54}{space 4}  -.16513{col 67}{space 3} .1513074
{txt}c_tfull_b_~d {c |}{col 14}{res}{space 2} .0500248{col 26}{space 2} .0449263{col 37}{space 1}    1.11{col 46}{space 3}0.267{col 54}{space 4}-.0386058{col 67}{space 3} .1386555
{txt}c_tfull_ed~r {c |}{col 14}{res}{space 2} .0039818{col 26}{space 2} .0024096{col 37}{space 1}    1.65{col 46}{space 3}0.100{col 54}{space 4} -.000772{col 67}{space 3} .0087356
{txt}c_tfull_b_~x {c |}{col 14}{res}{space 2} .0292643{col 26}{space 2} .0111728{col 37}{space 1}    2.62{col 46}{space 3}0.010{col 54}{space 4} .0072226{col 67}{space 3}  .051306
{txt}c_trea~l_hc2 {c |}{col 14}{res}{space 2} .0204964{col 26}{space 2} .0610633{col 37}{space 1}    0.34{col 46}{space 3}0.738{col 54}{space 4}-.0999693{col 67}{space 3} .1409621
{txt}c_treatful.. {c |}{col 14}{res}{space 2} .0612345{col 26}{space 2} .0787641{col 37}{space 1}    0.78{col 46}{space 3}0.438{col 54}{space 4}-.0941512{col 67}{space 3} .2166203
{txt}c_treatful.. {c |}{col 14}{res}{space 2}  .022566{col 26}{space 2} .0835242{col 37}{space 1}    0.27{col 46}{space 3}0.787{col 54}{space 4}-.1422105{col 67}{space 3} .1873424
{txt}c_treatful.. {c |}{col 14}{res}{space 2} .0894279{col 26}{space 2} .0619896{col 37}{space 1}    1.44{col 46}{space 3}0.151{col 54}{space 4}-.0328652{col 67}{space 3}  .211721
{txt}c_treatful.. {c |}{col 14}{res}{space 2} .0009014{col 26}{space 2} .0034529{col 37}{space 1}    0.26{col 46}{space 3}0.794{col 54}{space 4}-.0059106{col 67}{space 3} .0077133
{txt}c_treatful.. {c |}{col 14}{res}{space 2}-.0029112{col 26}{space 2} .0173896{col 37}{space 1}   -0.17{col 46}{space 3}0.867{col 54}{space 4}-.0372173{col 67}{space 3}  .031395
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} .0270284{col 26}{space 2} .0227638{col 37}{space 1}    1.19{col 46}{space 3}0.237{col 54}{space 4}-.0178801{col 67}{space 3} .0719369
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull + treatfull_treatqual = 0{p_end}

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}  e_commtg_z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}(1) {c |}{col 14}{res}{space 2} .0126092{col 26}{space 2} .0351606{col 37}{space 1}    0.36{col 46}{space 3}0.720{col 54}{space 4}-.0567557{col 67}{space 3}  .081974
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull + treatfull_treatqual = 0{p_end}

{txt}       F(  1,   186) ={res}    0.13
{txt}{col 13}Prob > F ={res}    0.7203
{txt}
{com}.                 
.         * Subgroup Effects: Outside Options
.         
.         * We create the vector of control without HC level components
.         
.         local  e_controls_noprefix b_visited_d educyr b_assetindex
{txt}
{com}.                 
.         foreach x in e_ {c -(}
{txt}  2{com}.                 
.                 local `x'controls
{txt}  3{com}.                 local `x'controls_hc
{txt}  4{com}.                 
.                 local `x'controls_tfull
{txt}  5{com}.                 local `x'controls_tfull_hc
{txt}  6{com}.                         
.                 {c )-}
{txt}
{com}.                 
.         foreach x in e_ {c -(}
{txt}  2{com}.                 foreach var in treatfull {c -(}
{txt}  3{com}.                 
.                         local `var'_int_`x'controls
{txt}  4{com}.                         local `var'_hc_int_`x'controls
{txt}  5{com}.                         
.                         {c )-}
{txt}  6{com}.                 {c )-}
{txt}
{com}.                                 
.         foreach var of local e_controls_noprefix {c -(}
{txt}  2{com}.                 local e_controls `e_controls' c_`var'
{txt}  3{com}.                 local e_controls_tfull `e_controls_tfull' c_tfull_`var'
{txt}  4{com}.                 
.                 local e_controls_hc `e_controls_hc' c_hc_`var'
{txt}  5{com}.                 local e_controls_tfull_hc `e_controls_tfull_hc' c_tfull_hc_`var'
{txt}  6{com}.                 {c )-}
{txt}
{com}.                         
.         foreach treat in treatfull {c -(}
{txt}  2{com}.                 foreach var of local e_controls_noprefix {c -(}
{txt}  3{com}.                 
.                         local `treat'_int_e_controls ``treat'_int_e_controls' c_`treat'_`var'
{txt}  4{com}.                         local `treat'_hc_int_e_controls ``treat'_hc_int_e_controls' c_`treat'_hc_`var'
{txt}  5{com}.                         
.                         {c )-}
{txt}  6{com}.                 {c )-}
{txt}
{com}.                 
.         * We regress the results
.         
.         foreach x in `indices' {c -(}
{txt}  2{com}.         
.                 areg e_`x' treatfull treatfull_outsideoption b_h_outsideoption_z_med_d b_`x' b_`x'_d `e_controls_tfull' `treatfull_int_e_controls', robust cl(hc_id) a(district)
{txt}  3{com}.                 eststo e_`x'_outsideoption
{txt}  4{com}.                 local n_outside_`x' = string(e(N),"%9.0fc")
{txt}  5{com}.                 local r2_outside_`x' = string(e(r2),"%9.3fc")
{txt}  6{com}.                 
.                 lincom treatfull + treatfull_outsideoption
{txt}  7{com}.                 local est_outside_`x' = r(estimate)
{txt}  8{com}.                 local se_outside_`x' = r(se)
{txt}  9{com}.                 test treatfull + treatfull_outsideoption = 0
{txt} 10{com}.                 local p_outside_`x' = r(p)
{txt} 11{com}.                 
.                 local est_boutside_`x' = string(_b[treatfull],"%9.3fc")
{txt} 12{com}.                 local se_boutside_`x' = string(_se[treatfull],"%9.3fc")
{txt} 13{com}.                 local p_boutside_`x' = (2 * ttail(e(df_r), abs(_b[treatfull]/_se[treatfull])))
{txt} 14{com}.                 
.                 local est_tmxoutside_`x' = string(_b[treatfull_outsideoption],"%9.3fc")
{txt} 15{com}.                 local se_tmxoutside_`x' = string(_se[treatfull_outsideoption],"%9.3fc")
{txt} 16{com}.                 local p_tmxoutside_`x' = (2 * ttail(e(df_r), abs(_b[treatfull_outsideoption]/_se[treatfull_outsideoption])))
{txt} 17{com}.                 
.                 local est_smoutside_`x' = string(_b[b_h_outsideoption_z_med_d],"%9.3fc")
{txt} 18{com}.                 local se_smoutside_`x' = string(_se[b_h_outsideoption_z_med_d],"%9.3fc")
{txt} 19{com}.                 local p_smoutside_`x' = (2 * ttail(e(df_r), abs(_b[b_h_outsideoption_z_med_d]/_se[b_h_outsideoption_z_med_d])))
{txt} 20{com}.                 
.                 local est_coutside_`x' = string(_b[_cons],"%9.3fc")
{txt} 21{com}.                 local se_coutside_`x' = string(_se[_cons],"%9.3fc")
{txt} 22{com}.                 local p_coutside_`x' = (2 * ttail(e(df_r), abs(_b[_cons]/_se[_cons])))
{txt} 23{com}.                 
.                 foreach var in boutside tmxoutside smoutside coutside {c -(}
{txt} 24{com}.                 
.                         gen sign_`var'_zero_`x' = (`p_`var'_`x''>0.1)
{txt} 25{com}.                         gen sign_`var'_p1s_`x' = (`p_`var'_`x''<=0.1 & `p_`var'_`x''>0.05 & `est_`var'_`x''>0)
{txt} 26{com}.                         gen sign_`var'_p2s_`x' = (`p_`var'_`x''<=0.05 & `p_`var'_`x''>0.01 & `est_`var'_`x''>0)
{txt} 27{com}.                         gen sign_`var'_p3s_`x' = (`p_`var'_`x''<=0.01 & `p_`var'_`x''>=0 & `est_`var'_`x''>0)
{txt} 28{com}.                         gen sign_`var'_m1s_`x' = (`p_`var'_`x''<=0.1 & `p_`var'_`x''>0.05 & `est_`var'_`x''<0)
{txt} 29{com}.                         gen sign_`var'_m2s_`x' = (`p_`var'_`x''<=0.05 & `p_`var'_`x''>0.01 & `est_`var'_`x''<0)
{txt} 30{com}.                         gen sign_`var'_m3s_`x' = (`p_`var'_`x''<=0.01 & `p_`var'_`x''>=0 & `est_`var'_`x''<0)
{txt} 31{com}.                         
.                         if sign_`var'_p1s_`x' == 1 {c -(}
{txt} 32{com}.                                         local sign_`var'_`x' = "\cellcolor[HTML]{c -(}EFEFEF{c )-}+"
{txt} 33{com}.                                         local est_`var'_`x' = "`est_`var'_`x''*"
{txt} 34{com}.                                         {c )-}
{txt} 35{com}.                                         
.                         if sign_`var'_p2s_`x' == 1 {c -(}    
{txt} 36{com}.                                         local sign_`var'_`x' = "\cellcolor[HTML]{c -(}C0C0C0{c )-}+"
{txt} 37{com}.                                         local est_`var'_`x' = "`est_`var'_`x''**"
{txt} 38{com}.                                         {c )-}
{txt} 39{com}.                                         
.                         if sign_`var'_p3s_`x' == 1 {c -(}    
{txt} 40{com}.                                         local sign_`var'_`x' = "\cellcolor[HTML]{c -(}9B9B9B{c )-}+"
{txt} 41{com}.                                         local est_`var'_`x' = "`est_`var'_`x''***"
{txt} 42{com}.                                         {c )-}
{txt} 43{com}.                                 
.                         if sign_`var'_m1s_`x' == 1 {c -(}
{txt} 44{com}.                                         local sign_`var'_`x' = "\cellcolor[HTML]{c -(}EFEFEF{c )-}-"
{txt} 45{com}.                                         local est_`var'_`x' = "`est_`var'_`x''*"
{txt} 46{com}.                                         {c )-}
{txt} 47{com}.                                         
.                         if sign_`var'_m2s_`x' == 1 {c -(}    
{txt} 48{com}.                                         local sign_`var'_`x' = "\cellcolor[HTML]{c -(}C0C0C0{c )-}-"
{txt} 49{com}.                                         local est_`var'_`x' = "`est_`var'_`x''**"
{txt} 50{com}.                                         {c )-}
{txt} 51{com}.                                         
.                         if sign_`var'_m3s_`x' == 1 {c -(}    
{txt} 52{com}.                                         local sign_`var'_`x' = "\cellcolor[HTML]{c -(}9B9B9B{c )-}-"
{txt} 53{com}.                                         local est_`var'_`x' = "`est_`var'_`x''***"
{txt} 54{com}.                                         {c )-}
{txt} 55{com}.                                 
.                         if sign_`var'_zero_`x' == 1 {c -(}
{txt} 56{com}.                                 local sign_`var'_`x' = "0"
{txt} 57{com}.                                 {c )-}
{txt} 58{com}.                                 
.                         {c )-}
{txt} 59{com}.                 
.                 gen sign_outside_zero_`x' = (`p_outside_`x''>0.1)
{txt} 60{com}.                 gen sign_outside_p1s_`x' = (`p_outside_`x''<=0.1 & `p_outside_`x''>0.05 & `est_outside_`x''>0)
{txt} 61{com}.                 gen sign_outside_p2s_`x' = (`p_outside_`x''<=0.05 & `p_outside_`x''>0.01 & `est_outside_`x''>0)
{txt} 62{com}.                 gen sign_outside_p3s_`x' = (`p_outside_`x''<=0.01 & `p_outside_`x''>=0 & `est_outside_`x''>0)
{txt} 63{com}.                 gen sign_outside_m1s_`x' = (`p_outside_`x''<=0.1 & `p_outside_`x''>0.05 & `est_outside_`x''<0)
{txt} 64{com}.                 gen sign_outside_m2s_`x' = (`p_outside_`x''<=0.05 & `p_outside_`x''>0.01 & `est_outside_`x''<0)
{txt} 65{com}.                 gen sign_outside_m3s_`x' = (`p_outside_`x''<=0.01 & `p_outside_`x''>=0 & `est_outside_`x''<0)
{txt} 66{com}.                 
.                 local p_outside_`x' = string(`p_outside_`x'',"%9.3fc")
{txt} 67{com}.                 local est_outside_`x' = string(`est_outside_`x'',"%9.3fc")
{txt} 68{com}.                 local se_outside_`x' = string(`se_outside_`x'',"%9.3fc")
{txt} 69{com}.                 
.                 if sign_outside_p1s_`x' == 1 {c -(}
{txt} 70{com}.                                 local sign_outside_`x' = "\cellcolor[HTML]{c -(}EFEFEF{c )-}+"
{txt} 71{com}.                                 local est_outside_`x' = "`est_outside_`x''*"
{txt} 72{com}.                                 {c )-}
{txt} 73{com}.                                 
.                 if sign_outside_p2s_`x' == 1 {c -(}  
{txt} 74{com}.                                 local sign_outside_`x' = "\cellcolor[HTML]{c -(}C0C0C0{c )-}+"
{txt} 75{com}.                                 local est_outside_`x' = "`est_outside_`x''**"
{txt} 76{com}.                                 {c )-}
{txt} 77{com}.                                 
.                 if sign_outside_p3s_`x' == 1 {c -(}  
{txt} 78{com}.                                 local sign_outside_`x' = "\cellcolor[HTML]{c -(}9B9B9B{c )-}+"
{txt} 79{com}.                                 local est_outside_`x' = "`est_outside_`x''***"
{txt} 80{com}.                                 {c )-}
{txt} 81{com}.                         
.                 if sign_outside_m1s_`x' == 1 {c -(}
{txt} 82{com}.                                 local sign_outside_`x' = "\cellcolor[HTML]{c -(}EFEFEF{c )-}-"
{txt} 83{com}.                                 local est_outside_`x' = "`est_outside_`x''*"
{txt} 84{com}.                                 {c )-}
{txt} 85{com}.                                 
.                 if sign_outside_m2s_`x' == 1 {c -(}  
{txt} 86{com}.                                 local sign_outside_`x' = "\cellcolor[HTML]{c -(}C0C0C0{c )-}-"
{txt} 87{com}.                                 local est_outside_`x' = "`est_outside_`x''**"
{txt} 88{com}.                                 {c )-}
{txt} 89{com}.                                 
.                 if sign_outside_m3s_`x' == 1 {c -(}  
{txt} 90{com}.                                 local sign_outside_`x' = "\cellcolor[HTML]{c -(}9B9B9B{c )-}-"
{txt} 91{com}.                                 local est_outside_`x' = "`est_outside_`x''***"
{txt} 92{com}.                                 {c )-}
{txt} 93{com}.                         
.                 if sign_outside_zero_`x' == 1 {c -(}
{txt} 94{com}.                         local sign_outside_`x' = "0"
{txt} 95{com}.                         {c )-}
{txt} 96{com}.                 
.                 drop sign_*
{txt} 97{com}.                 
.                 {c )-}
{txt}note: b_urate_z_d omitted because of collinearity
{res}
{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}     7,288
{txt}{col 49}F({res}  10{txt},{res}    186{txt}){col 67}= {res}     84.39
{txt}{col 49}Prob > F{col 67}= {res}    0.0000
{txt}{col 49}R-squared{col 67}= {res}    0.2318
{txt}{col 49}Adj R-squared{col 67}= {res}    0.2292
{txt}{col 49}Root MSE{col 67}= {res}    0.6605

{txt}{ralign 78:(Std. Err. adjusted for {res:187} clusters in hc_id)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}   e_urate_z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2} .0110386{col 26}{space 2} .0292089{col 37}{space 1}    0.38{col 46}{space 3}0.706{col 54}{space 4}-.0465848{col 67}{space 3}  .068662
{txt}treatfull_~n {c |}{col 14}{res}{space 2} .0477225{col 26}{space 2} .0451944{col 37}{space 1}    1.06{col 46}{space 3}0.292{col 54}{space 4}-.0414369{col 67}{space 3} .1368819
{txt}b_h_outsid~d {c |}{col 14}{res}{space 2}-.0897967{col 26}{space 2} .0320155{col 37}{space 1}   -2.80{col 46}{space 3}0.006{col 54}{space 4}-.1529568{col 67}{space 3}-.0266366
{txt}{space 3}b_urate_z {c |}{col 14}{res}{space 2} .3516265{col 26}{space 2} .0144397{col 37}{space 1}   24.35{col 46}{space 3}0.000{col 54}{space 4} .3231398{col 67}{space 3} .3801133
{txt}{space 1}b_urate_z_d {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
c_tfull_b_~d {c |}{col 14}{res}{space 2} .1486697{col 26}{space 2} .0591996{col 37}{space 1}    2.51{col 46}{space 3}0.013{col 54}{space 4} .0318806{col 67}{space 3} .2654587
{txt}c_tfull_ed~r {c |}{col 14}{res}{space 2} -.012161{col 26}{space 2} .0027909{col 37}{space 1}   -4.36{col 46}{space 3}0.000{col 54}{space 4} -.017667{col 67}{space 3}-.0066551
{txt}c_tfull_b_~x {c |}{col 14}{res}{space 2}-.0353436{col 26}{space 2} .0127871{col 37}{space 1}   -2.76{col 46}{space 3}0.006{col 54}{space 4}-.0605699{col 67}{space 3}-.0101173
{txt}c_treatful.. {c |}{col 14}{res}{space 2} -.023623{col 26}{space 2} .0824881{col 37}{space 1}   -0.29{col 46}{space 3}0.775{col 54}{space 4}-.1863556{col 67}{space 3} .1391096
{txt}c_treatful.. {c |}{col 14}{res}{space 2} .0021776{col 26}{space 2} .0041227{col 37}{space 1}    0.53{col 46}{space 3}0.598{col 54}{space 4}-.0059557{col 67}{space 3}  .010311
{txt}c_treatful.. {c |}{col 14}{res}{space 2} -.012367{col 26}{space 2} .0186784{col 37}{space 1}   -0.66{col 46}{space 3}0.509{col 54}{space 4}-.0492157{col 67}{space 3} .0244817
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} .0192164{col 26}{space 2} .0194627{col 37}{space 1}    0.99{col 46}{space 3}0.325{col 54}{space 4}-.0191796{col 67}{space 3} .0576124
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull + treatfull_outsideoption = 0{p_end}

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}   e_urate_z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}(1) {c |}{col 14}{res}{space 2} .0587611{col 26}{space 2}  .033253{col 37}{space 1}    1.77{col 46}{space 3}0.079{col 54}{space 4}-.0068404{col 67}{space 3} .1243626
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull + treatfull_outsideoption = 0{p_end}

{txt}       F(  1,   186) ={res}    3.12
{txt}{col 13}Prob > F ={res}    0.0789
{txt}note: b_treatqual_z_d omitted because of collinearity
{res}
{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}     7,288
{txt}{col 49}F({res}  10{txt},{res}    186{txt}){col 67}= {res}      5.64
{txt}{col 49}Prob > F{col 67}= {res}    0.0000
{txt}{col 49}R-squared{col 67}= {res}    0.0928
{txt}{col 49}Adj R-squared{col 67}= {res}    0.0897
{txt}{col 49}Root MSE{col 67}= {res}    0.3532

{txt}{ralign 78:(Std. Err. adjusted for {res:187} clusters in hc_id)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}e_treatq~l_z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2} .0438462{col 26}{space 2} .0367527{col 37}{space 1}    1.19{col 46}{space 3}0.234{col 54}{space 4}-.0286595{col 67}{space 3} .1163518
{txt}treatfull_~n {c |}{col 14}{res}{space 2} .0516594{col 26}{space 2} .0525508{col 37}{space 1}    0.98{col 46}{space 3}0.327{col 54}{space 4}-.0520129{col 67}{space 3} .1553317
{txt}b_h_outsid~d {c |}{col 14}{res}{space 2}-.0271992{col 26}{space 2} .0417823{col 37}{space 1}   -0.65{col 46}{space 3}0.516{col 54}{space 4}-.1096274{col 67}{space 3}  .055229
{txt}b_treatq~l_z {c |}{col 14}{res}{space 2} .1083049{col 26}{space 2} .0206428{col 37}{space 1}    5.25{col 46}{space 3}0.000{col 54}{space 4} .0675808{col 67}{space 3} .1490289
{txt}b_trea~l_z_d {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
c_tfull_b_~d {c |}{col 14}{res}{space 2} .0075071{col 26}{space 2} .0246588{col 37}{space 1}    0.30{col 46}{space 3}0.761{col 54}{space 4}-.0411398{col 67}{space 3}  .056154
{txt}c_tfull_ed~r {c |}{col 14}{res}{space 2}-.0022427{col 26}{space 2} .0016317{col 37}{space 1}   -1.37{col 46}{space 3}0.171{col 54}{space 4}-.0054616{col 67}{space 3} .0009763
{txt}c_tfull_b_~x {c |}{col 14}{res}{space 2} .0029877{col 26}{space 2} .0096187{col 37}{space 1}    0.31{col 46}{space 3}0.756{col 54}{space 4}-.0159882{col 67}{space 3} .0219635
{txt}c_treatful.. {c |}{col 14}{res}{space 2} .0533701{col 26}{space 2} .0330735{col 37}{space 1}    1.61{col 46}{space 3}0.108{col 54}{space 4}-.0118773{col 67}{space 3} .1186175
{txt}c_treatful.. {c |}{col 14}{res}{space 2} .0021521{col 26}{space 2} .0022666{col 37}{space 1}    0.95{col 46}{space 3}0.344{col 54}{space 4}-.0023195{col 67}{space 3} .0066237
{txt}c_treatful.. {c |}{col 14}{res}{space 2}-.0241481{col 26}{space 2} .0144532{col 37}{space 1}   -1.67{col 46}{space 3}0.096{col 54}{space 4}-.0526614{col 67}{space 3} .0043652
{txt}{space 7}_cons {c |}{col 14}{res}{space 2}  .012723{col 26}{space 2} .0289895{col 37}{space 1}    0.44{col 46}{space 3}0.661{col 54}{space 4}-.0444676{col 67}{space 3} .0699136
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull + treatfull_outsideoption = 0{p_end}

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}e_treatq~l_z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}(1) {c |}{col 14}{res}{space 2} .0955056{col 26}{space 2} .0375429{col 37}{space 1}    2.54{col 46}{space 3}0.012{col 54}{space 4}  .021441{col 67}{space 3} .1695702
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull + treatfull_outsideoption = 0{p_end}

{txt}       F(  1,   186) ={res}    6.47
{txt}{col 13}Prob > F ={res}    0.0118
{txt}note: b_patsat_z_d omitted because of collinearity
{res}
{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}     7,288
{txt}{col 49}F({res}  10{txt},{res}    186{txt}){col 67}= {res}     11.72
{txt}{col 49}Prob > F{col 67}= {res}    0.0000
{txt}{col 49}R-squared{col 67}= {res}    0.0380
{txt}{col 49}Adj R-squared{col 67}= {res}    0.0347
{txt}{col 49}Root MSE{col 67}= {res}    0.5874

{txt}{ralign 78:(Std. Err. adjusted for {res:187} clusters in hc_id)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}  e_patsat_z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2}   .10872{col 26}{space 2} .0363205{col 37}{space 1}    2.99{col 46}{space 3}0.003{col 54}{space 4}  .037067{col 67}{space 3}  .180373
{txt}treatfull_~n {c |}{col 14}{res}{space 2} -.068872{col 26}{space 2} .0510069{col 37}{space 1}   -1.35{col 46}{space 3}0.179{col 54}{space 4}-.1694984{col 67}{space 3} .0317544
{txt}b_h_outsid~d {c |}{col 14}{res}{space 2}  .038722{col 26}{space 2} .0379715{col 37}{space 1}    1.02{col 46}{space 3}0.309{col 54}{space 4}-.0361882{col 67}{space 3} .1136321
{txt}{space 2}b_patsat_z {c |}{col 14}{res}{space 2} .1389412{col 26}{space 2} .0152308{col 37}{space 1}    9.12{col 46}{space 3}0.000{col 54}{space 4} .1088938{col 67}{space 3} .1689886
{txt}b_patsat_z_d {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
c_tfull_b_~d {c |}{col 14}{res}{space 2}  .014337{col 26}{space 2} .0415471{col 37}{space 1}    0.35{col 46}{space 3}0.730{col 54}{space 4}-.0676271{col 67}{space 3} .0963012
{txt}c_tfull_ed~r {c |}{col 14}{res}{space 2} .0023227{col 26}{space 2} .0027113{col 37}{space 1}    0.86{col 46}{space 3}0.393{col 54}{space 4}-.0030262{col 67}{space 3} .0076715
{txt}c_tfull_b_~x {c |}{col 14}{res}{space 2}  .006632{col 26}{space 2} .0107144{col 37}{space 1}    0.62{col 46}{space 3}0.537{col 54}{space 4}-.0145054{col 67}{space 3} .0277693
{txt}c_treatful.. {c |}{col 14}{res}{space 2}-.0397406{col 26}{space 2} .0516606{col 37}{space 1}   -0.77{col 46}{space 3}0.443{col 54}{space 4}-.1416566{col 67}{space 3} .0621754
{txt}c_treatful.. {c |}{col 14}{res}{space 2} .0025646{col 26}{space 2} .0036317{col 37}{space 1}    0.71{col 46}{space 3}0.481{col 54}{space 4}-.0046001{col 67}{space 3} .0097293
{txt}c_treatful.. {c |}{col 14}{res}{space 2}-.0106438{col 26}{space 2} .0145035{col 37}{space 1}   -0.73{col 46}{space 3}0.464{col 54}{space 4}-.0392563{col 67}{space 3} .0179687
{txt}{space 7}_cons {c |}{col 14}{res}{space 2}-.0182548{col 26}{space 2} .0246464{col 37}{space 1}   -0.74{col 46}{space 3}0.460{col 54}{space 4}-.0668773{col 67}{space 3} .0303676
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull + treatfull_outsideoption = 0{p_end}

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}  e_patsat_z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}(1) {c |}{col 14}{res}{space 2}  .039848{col 26}{space 2} .0347595{col 37}{space 1}    1.15{col 46}{space 3}0.253{col 54}{space 4}-.0287255{col 67}{space 3} .1084215
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull + treatfull_outsideoption = 0{p_end}

{txt}       F(  1,   186) ={res}    1.31
{txt}{col 13}Prob > F ={res}    0.2531
{txt}note: b_commtg_z_d omitted because of collinearity
{res}
{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}     7,288
{txt}{col 49}F({res}  10{txt},{res}    186{txt}){col 67}= {res}      7.72
{txt}{col 49}Prob > F{col 67}= {res}    0.0000
{txt}{col 49}R-squared{col 67}= {res}    0.0911
{txt}{col 49}Adj R-squared{col 67}= {res}    0.0879
{txt}{col 49}Root MSE{col 67}= {res}    0.5605

{txt}{ralign 78:(Std. Err. adjusted for {res:187} clusters in hc_id)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}  e_commtg_z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2} .0191505{col 26}{space 2} .0408803{col 37}{space 1}    0.47{col 46}{space 3}0.640{col 54}{space 4}-.0614981{col 67}{space 3} .0997991
{txt}treatfull_~n {c |}{col 14}{res}{space 2}-.0196349{col 26}{space 2} .0620504{col 37}{space 1}   -0.32{col 46}{space 3}0.752{col 54}{space 4} -.142048{col 67}{space 3} .1027782
{txt}b_h_outsid~d {c |}{col 14}{res}{space 2}-.0162329{col 26}{space 2} .0414187{col 37}{space 1}   -0.39{col 46}{space 3}0.696{col 54}{space 4}-.0979438{col 67}{space 3}  .065478
{txt}{space 2}b_commtg_z {c |}{col 14}{res}{space 2} .0814168{col 26}{space 2} .0136041{col 37}{space 1}    5.98{col 46}{space 3}0.000{col 54}{space 4} .0545787{col 67}{space 3} .1082549
{txt}b_commtg_z_d {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
c_tfull_b_~d {c |}{col 14}{res}{space 2} .0355832{col 26}{space 2}  .047375{col 37}{space 1}    0.75{col 46}{space 3}0.454{col 54}{space 4}-.0578782{col 67}{space 3} .1290445
{txt}c_tfull_ed~r {c |}{col 14}{res}{space 2} .0034957{col 26}{space 2} .0024371{col 37}{space 1}    1.43{col 46}{space 3}0.153{col 54}{space 4}-.0013122{col 67}{space 3} .0083036
{txt}c_tfull_b_~x {c |}{col 14}{res}{space 2} .0270308{col 26}{space 2} .0115236{col 37}{space 1}    2.35{col 46}{space 3}0.020{col 54}{space 4} .0042971{col 67}{space 3} .0497645
{txt}c_treatful.. {c |}{col 14}{res}{space 2} .1057849{col 26}{space 2} .0650553{col 37}{space 1}    1.63{col 46}{space 3}0.106{col 54}{space 4}-.0225562{col 67}{space 3} .2341259
{txt}c_treatful.. {c |}{col 14}{res}{space 2} .0009675{col 26}{space 2} .0035139{col 37}{space 1}    0.28{col 46}{space 3}0.783{col 54}{space 4}-.0059648{col 67}{space 3} .0078998
{txt}c_treatful.. {c |}{col 14}{res}{space 2}-.0049786{col 26}{space 2} .0191277{col 37}{space 1}   -0.26{col 46}{space 3}0.795{col 54}{space 4}-.0427137{col 67}{space 3} .0327565
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} .0096771{col 26}{space 2} .0225927{col 37}{space 1}    0.43{col 46}{space 3}0.669{col 54}{space 4}-.0348939{col 67}{space 3}  .054248
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull + treatfull_outsideoption = 0{p_end}

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}  e_commtg_z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}(1) {c |}{col 14}{res}{space 2}-.0004844{col 26}{space 2} .0442506{col 37}{space 1}   -0.01{col 46}{space 3}0.991{col 54}{space 4}-.0877819{col 67}{space 3} .0868132
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull + treatfull_outsideoption = 0{p_end}

{txt}       F(  1,   186) ={res}    0.00
{txt}{col 13}Prob > F ={res}    0.9913
{txt}
{com}.                 
.         * Subgroup Effects: Embededness Index
.         
.         foreach x in `indices' {c -(}
{txt}  2{com}.         
.                 areg e_`x' treatfull treatfull_embededness b_h_embed_index_z_med_d b_`x' b_`x'_d `e_controls_tfull' `treatfull_int_e_controls', robust cl(hc_id) a(district)
{txt}  3{com}.                 eststo e_`x'_embededness
{txt}  4{com}.                 local n_embed_`x' = string(e(N),"%9.0fc")
{txt}  5{com}.                 local r2_embed_`x' = string(e(r2),"%9.3fc")
{txt}  6{com}.                 
.                 lincom treatfull + treatfull_embededness
{txt}  7{com}.                 local est_embed_`x' = r(estimate)
{txt}  8{com}.                 local se_embed_`x' = r(se)
{txt}  9{com}.                 test treatfull + treatfull_embededness = 0
{txt} 10{com}.                 local p_embed_`x' = r(p)
{txt} 11{com}.                 
.                 local est_bembed_`x' = string(_b[treatfull],"%9.3fc")
{txt} 12{com}.                 local se_bembed_`x' = string(_se[treatfull],"%9.3fc")
{txt} 13{com}.                 local p_bembed_`x' = (2 * ttail(e(df_r), abs(_b[treatfull]/_se[treatfull])))
{txt} 14{com}.                 
.                 local est_tmxembed_`x' = string(_b[treatfull_embededness],"%9.3fc")
{txt} 15{com}.                 local se_tmxembed_`x' = string(_se[treatfull_embededness],"%9.3fc")
{txt} 16{com}.                 local p_tmxembed_`x' = (2 * ttail(e(df_r), abs(_b[treatfull_embededness]/_se[treatfull_embededness])))
{txt} 17{com}.                 
.                 local est_smembed_`x' = string(_b[b_h_embed_index_z_med_d],"%9.3fc")
{txt} 18{com}.                 local se_smembed_`x' = string(_se[b_h_embed_index_z_med_d],"%9.3fc")
{txt} 19{com}.                 local p_smembed_`x' = (2 * ttail(e(df_r), abs(_b[b_h_embed_index_z_med_d]/_se[b_h_embed_index_z_med_d])))
{txt} 20{com}.                 
.                 local est_cembed_`x' = string(_b[_cons],"%9.3fc")
{txt} 21{com}.                 local se_cembed_`x' = string(_se[_cons],"%9.3fc")
{txt} 22{com}.                 local p_cembed_`x' = (2 * ttail(e(df_r), abs(_b[_cons]/_se[_cons])))
{txt} 23{com}.                 
.                 foreach var in bembed tmxembed smembed cembed {c -(}
{txt} 24{com}.                         
.                         gen sign_`var'_zero_`x' = (`p_`var'_`x''>0.1)
{txt} 25{com}.                         gen sign_`var'_p1s_`x' = (`p_`var'_`x''<=0.1 & `p_`var'_`x''>0.05 & `est_`var'_`x''>0)
{txt} 26{com}.                         gen sign_`var'_p2s_`x' = (`p_`var'_`x''<=0.05 & `p_`var'_`x''>0.01 & `est_`var'_`x''>0)
{txt} 27{com}.                         gen sign_`var'_p3s_`x' = (`p_`var'_`x''<=0.01 & `p_`var'_`x''>=0 & `est_`var'_`x''>0)
{txt} 28{com}.                         gen sign_`var'_m1s_`x' = (`p_`var'_`x''<=0.1 & `p_`var'_`x''>0.05 & `est_`var'_`x''<0)
{txt} 29{com}.                         gen sign_`var'_m2s_`x' = (`p_`var'_`x''<=0.05 & `p_`var'_`x''>0.01 & `est_`var'_`x''<0)
{txt} 30{com}.                         gen sign_`var'_m3s_`x' = (`p_`var'_`x''<=0.01 & `p_`var'_`x''>=0 & `est_`var'_`x''<0)
{txt} 31{com}.                         
.                         if sign_`var'_p1s_`x' == 1 {c -(}
{txt} 32{com}.                                         local sign_`var'_`x' = "\cellcolor[HTML]{c -(}EFEFEF{c )-}+"
{txt} 33{com}.                                         local est_`var'_`x' = "`est_`var'_`x''*"
{txt} 34{com}.                                         {c )-}
{txt} 35{com}.                                         
.                         if sign_`var'_p2s_`x' == 1 {c -(}    
{txt} 36{com}.                                         local sign_`var'_`x' = "\cellcolor[HTML]{c -(}C0C0C0{c )-}+"
{txt} 37{com}.                                         local est_`var'_`x' = "`est_`var'_`x''**"
{txt} 38{com}.                                         {c )-}
{txt} 39{com}.                                         
.                         if sign_`var'_p3s_`x' == 1 {c -(}    
{txt} 40{com}.                                         local sign_`var'_`x' = "\cellcolor[HTML]{c -(}9B9B9B{c )-}+"
{txt} 41{com}.                                         local est_`var'_`x' = "`est_`var'_`x''***"
{txt} 42{com}.                                         {c )-}
{txt} 43{com}.                                 
.                         if sign_`var'_m1s_`x' == 1 {c -(}
{txt} 44{com}.                                         local sign_`var'_`x' = "\cellcolor[HTML]{c -(}EFEFEF{c )-}-"
{txt} 45{com}.                                         local est_`var'_`x' = "`est_`var'_`x''*"
{txt} 46{com}.                                         {c )-}
{txt} 47{com}.                                         
.                         if sign_`var'_m2s_`x' == 1 {c -(}    
{txt} 48{com}.                                         local sign_`var'_`x' = "\cellcolor[HTML]{c -(}C0C0C0{c )-}-"
{txt} 49{com}.                                         local est_`var'_`x' = "`est_`var'_`x''**"
{txt} 50{com}.                                         {c )-}
{txt} 51{com}.                                         
.                         if sign_`var'_m3s_`x' == 1 {c -(}    
{txt} 52{com}.                                         local sign_`var'_`x' = "\cellcolor[HTML]{c -(}9B9B9B{c )-}-"
{txt} 53{com}.                                         local est_`var'_`x' = "`est_`var'_`x''***"
{txt} 54{com}.                                         {c )-}
{txt} 55{com}.                                 
.                         if sign_`var'_zero_`x' == 1 {c -(}
{txt} 56{com}.                                 local sign_`var'_`x' = "0"
{txt} 57{com}.                                 {c )-}
{txt} 58{com}.                                 
.                         {c )-}
{txt} 59{com}.                                 
.                 gen sign_embed_zero_`x' = (`p_embed_`x''>0.1)
{txt} 60{com}.                 gen sign_embed_p1s_`x' = (`p_embed_`x''<=0.1 & `p_embed_`x''>0.05 & `est_embed_`x''>0)
{txt} 61{com}.                 gen sign_embed_p2s_`x' = (`p_embed_`x''<=0.05 & `p_embed_`x''>0.01 & `est_embed_`x''>0)
{txt} 62{com}.                 gen sign_embed_p3s_`x' = (`p_embed_`x''<=0.01 & `p_embed_`x''>=0 & `est_embed_`x''>0)
{txt} 63{com}.                 gen sign_embed_m1s_`x' = (`p_embed_`x''<=0.1 & `p_embed_`x''>0.05 & `est_embed_`x''<0)
{txt} 64{com}.                 gen sign_embed_m2s_`x' = (`p_embed_`x''<=0.05 & `p_embed_`x''>0.01 & `est_embed_`x''<0)
{txt} 65{com}.                 gen sign_embed_m3s_`x' = (`p_embed_`x''<=0.01 & `p_embed_`x''>=0 & `est_embed_`x''<0)
{txt} 66{com}.                 
.                 local p_embed_`x' = string(`p_embed_`x'',"%9.3fc")
{txt} 67{com}.                 local est_embed_`x' = string(`est_embed_`x'',"%9.3fc")
{txt} 68{com}.                 local se_embed_`x' = string(`se_embed_`x'',"%9.3fc")
{txt} 69{com}.                 
.                 if sign_embed_p1s_`x' == 1 {c -(}
{txt} 70{com}.                                 local sign_embed_`x' = "\cellcolor[HTML]{c -(}EFEFEF{c )-}+"
{txt} 71{com}.                                 local est_embed_`x' = "`est_embed_`x''*"
{txt} 72{com}.                                 {c )-}
{txt} 73{com}.                                 
.                 if sign_embed_p2s_`x' == 1 {c -(}    
{txt} 74{com}.                                 local sign_embed_`x' = "\cellcolor[HTML]{c -(}C0C0C0{c )-}+"
{txt} 75{com}.                                 local est_embed_`x' = "`est_embed_`x''**"
{txt} 76{com}.                                 {c )-}
{txt} 77{com}.                                 
.                 if sign_embed_p3s_`x' == 1 {c -(}    
{txt} 78{com}.                                 local sign_embed_`x' = "\cellcolor[HTML]{c -(}9B9B9B{c )-}+"
{txt} 79{com}.                                 local est_embed_`x' = "`est_embed_`x''***"
{txt} 80{com}.                                 {c )-}
{txt} 81{com}.                         
.                 if sign_embed_m1s_`x' == 1 {c -(}
{txt} 82{com}.                                 local sign_embed_`x' = "\cellcolor[HTML]{c -(}EFEFEF{c )-}-"
{txt} 83{com}.                                 local est_embed_`x' = "`est_embed_`x''*"
{txt} 84{com}.                                 {c )-}
{txt} 85{com}.                                 
.                 if sign_embed_m2s_`x' == 1 {c -(}    
{txt} 86{com}.                                 local sign_embed_`x' = "\cellcolor[HTML]{c -(}C0C0C0{c )-}-"
{txt} 87{com}.                                 local est_embed_`x' = "`est_embed_`x''**"
{txt} 88{com}.                                 {c )-}
{txt} 89{com}.                                 
.                 if sign_embed_m3s_`x' == 1 {c -(}    
{txt} 90{com}.                                 local sign_embed_`x' = "\cellcolor[HTML]{c -(}9B9B9B{c )-}-"
{txt} 91{com}.                                 local est_embed_`x' = "`est_embed_`x''***"
{txt} 92{com}.                                 {c )-}
{txt} 93{com}.                         
.                 if sign_embed_zero_`x' == 1 {c -(}
{txt} 94{com}.                         local sign_embed_`x' = "0"
{txt} 95{com}.                         {c )-}
{txt} 96{com}.                 
.                 drop sign_*
{txt} 97{com}.                 
.                 {c )-}
{txt}note: b_urate_z_d omitted because of collinearity
{res}
{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}     7,288
{txt}{col 49}F({res}  10{txt},{res}    186{txt}){col 67}= {res}     81.22
{txt}{col 49}Prob > F{col 67}= {res}    0.0000
{txt}{col 49}R-squared{col 67}= {res}    0.2300
{txt}{col 49}Adj R-squared{col 67}= {res}    0.2273
{txt}{col 49}Root MSE{col 67}= {res}    0.6613

{txt}{ralign 78:(Std. Err. adjusted for {res:187} clusters in hc_id)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}   e_urate_z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2} .0168237{col 26}{space 2}  .032793{col 37}{space 1}    0.51{col 46}{space 3}0.609{col 54}{space 4}-.0478702{col 67}{space 3} .0815177
{txt}treatfull_~s {c |}{col 14}{res}{space 2} .0223576{col 26}{space 2} .0457056{col 37}{space 1}    0.49{col 46}{space 3}0.625{col 54}{space 4}-.0678104{col 67}{space 3} .1125257
{txt}b_h_embe~d_d {c |}{col 14}{res}{space 2}-.0044696{col 26}{space 2} .0309946{col 37}{space 1}   -0.14{col 46}{space 3}0.885{col 54}{space 4}-.0656159{col 67}{space 3} .0566766
{txt}{space 3}b_urate_z {c |}{col 14}{res}{space 2} .3553738{col 26}{space 2}  .014468{col 37}{space 1}   24.56{col 46}{space 3}0.000{col 54}{space 4} .3268314{col 67}{space 3} .3839162
{txt}{space 1}b_urate_z_d {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
c_tfull_b_~d {c |}{col 14}{res}{space 2} .1631223{col 26}{space 2} .0570554{col 37}{space 1}    2.86{col 46}{space 3}0.005{col 54}{space 4} .0505635{col 67}{space 3} .2756812
{txt}c_tfull_ed~r {c |}{col 14}{res}{space 2} -.012615{col 26}{space 2} .0028513{col 37}{space 1}   -4.42{col 46}{space 3}0.000{col 54}{space 4}-.0182399{col 67}{space 3}  -.00699
{txt}c_tfull_b_~x {c |}{col 14}{res}{space 2}-.0406359{col 26}{space 2} .0130096{col 37}{space 1}   -3.12{col 46}{space 3}0.002{col 54}{space 4}-.0663013{col 67}{space 3}-.0149705
{txt}c_treatful.. {c |}{col 14}{res}{space 2}-.0342519{col 26}{space 2} .0796398{col 37}{space 1}   -0.43{col 46}{space 3}0.668{col 54}{space 4}-.1913654{col 67}{space 3} .1228616
{txt}c_treatful.. {c |}{col 14}{res}{space 2} .0025376{col 26}{space 2} .0041606{col 37}{space 1}    0.61{col 46}{space 3}0.543{col 54}{space 4}-.0056704{col 67}{space 3} .0107455
{txt}c_treatful.. {c |}{col 14}{res}{space 2}-.0105191{col 26}{space 2} .0190152{col 37}{space 1}   -0.55{col 46}{space 3}0.581{col 54}{space 4}-.0480324{col 67}{space 3} .0269942
{txt}{space 7}_cons {c |}{col 14}{res}{space 2}-.0177647{col 26}{space 2} .0219369{col 37}{space 1}   -0.81{col 46}{space 3}0.419{col 54}{space 4}-.0610418{col 67}{space 3} .0255124
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull + treatfull_embededness = 0{p_end}

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}   e_urate_z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}(1) {c |}{col 14}{res}{space 2} .0391814{col 26}{space 2} .0302546{col 37}{space 1}    1.30{col 46}{space 3}0.197{col 54}{space 4}-.0205049{col 67}{space 3} .0988676
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull + treatfull_embededness = 0{p_end}

{txt}       F(  1,   186) ={res}    1.68
{txt}{col 13}Prob > F ={res}    0.1969
{txt}note: b_treatqual_z_d omitted because of collinearity
{res}
{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}     7,288
{txt}{col 49}F({res}  10{txt},{res}    186{txt}){col 67}= {res}      5.68
{txt}{col 49}Prob > F{col 67}= {res}    0.0000
{txt}{col 49}R-squared{col 67}= {res}    0.0949
{txt}{col 49}Adj R-squared{col 67}= {res}    0.0918
{txt}{col 49}Root MSE{col 67}= {res}    0.3528

{txt}{ralign 78:(Std. Err. adjusted for {res:187} clusters in hc_id)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}e_treatq~l_z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2} .0681774{col 26}{space 2} .0379296{col 37}{space 1}    1.80{col 46}{space 3}0.074{col 54}{space 4}-.0066501{col 67}{space 3} .1430048
{txt}treatfull_~s {c |}{col 14}{res}{space 2} .0039751{col 26}{space 2} .0534715{col 37}{space 1}    0.07{col 46}{space 3}0.941{col 54}{space 4}-.1015134{col 67}{space 3} .1094636
{txt}b_h_embe~d_d {c |}{col 14}{res}{space 2} .0410329{col 26}{space 2} .0420013{col 37}{space 1}    0.98{col 46}{space 3}0.330{col 54}{space 4}-.0418273{col 67}{space 3}  .123893
{txt}b_treatq~l_z {c |}{col 14}{res}{space 2} .1021802{col 26}{space 2} .0206537{col 37}{space 1}    4.95{col 46}{space 3}0.000{col 54}{space 4} .0614345{col 67}{space 3} .1429259
{txt}b_trea~l_z_d {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
c_tfull_b_~d {c |}{col 14}{res}{space 2} .0100324{col 26}{space 2} .0235174{col 37}{space 1}    0.43{col 46}{space 3}0.670{col 54}{space 4}-.0363628{col 67}{space 3} .0564276
{txt}c_tfull_ed~r {c |}{col 14}{res}{space 2}-.0025054{col 26}{space 2} .0016352{col 37}{space 1}   -1.53{col 46}{space 3}0.127{col 54}{space 4}-.0057313{col 67}{space 3} .0007205
{txt}c_tfull_b_~x {c |}{col 14}{res}{space 2} .0008825{col 26}{space 2} .0093842{col 37}{space 1}    0.09{col 46}{space 3}0.925{col 54}{space 4}-.0176306{col 67}{space 3} .0193956
{txt}c_treatful.. {c |}{col 14}{res}{space 2} .0428626{col 26}{space 2} .0321423{col 37}{space 1}    1.33{col 46}{space 3}0.184{col 54}{space 4}-.0205478{col 67}{space 3}  .106273
{txt}c_treatful.. {c |}{col 14}{res}{space 2} .0025398{col 26}{space 2} .0022501{col 37}{space 1}    1.13{col 46}{space 3}0.260{col 54}{space 4}-.0018992{col 67}{space 3} .0069789
{txt}c_treatful.. {c |}{col 14}{res}{space 2}-.0236975{col 26}{space 2} .0140749{col 37}{space 1}   -1.68{col 46}{space 3}0.094{col 54}{space 4}-.0514645{col 67}{space 3} .0040694
{txt}{space 7}_cons {c |}{col 14}{res}{space 2}-.0201034{col 26}{space 2} .0306139{col 37}{space 1}   -0.66{col 46}{space 3}0.512{col 54}{space 4}-.0804985{col 67}{space 3} .0402918
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull + treatfull_embededness = 0{p_end}

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}e_treatq~l_z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}(1) {c |}{col 14}{res}{space 2} .0721525{col 26}{space 2} .0371772{col 37}{space 1}    1.94{col 46}{space 3}0.054{col 54}{space 4}-.0011907{col 67}{space 3} .1454956
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull + treatfull_embededness = 0{p_end}

{txt}       F(  1,   186) ={res}    3.77
{txt}{col 13}Prob > F ={res}    0.0538
{txt}note: b_patsat_z_d omitted because of collinearity
{res}
{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}     7,288
{txt}{col 49}F({res}  10{txt},{res}    186{txt}){col 67}= {res}     10.93
{txt}{col 49}Prob > F{col 67}= {res}    0.0000
{txt}{col 49}R-squared{col 67}= {res}    0.0376
{txt}{col 49}Adj R-squared{col 67}= {res}    0.0343
{txt}{col 49}Root MSE{col 67}= {res}    0.5876

{txt}{ralign 78:(Std. Err. adjusted for {res:187} clusters in hc_id)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}  e_patsat_z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2} .0522912{col 26}{space 2} .0356727{col 37}{space 1}    1.47{col 46}{space 3}0.144{col 54}{space 4}-.0180838{col 67}{space 3} .1226662
{txt}treatfull_~s {c |}{col 14}{res}{space 2} .0472903{col 26}{space 2} .0520153{col 37}{space 1}    0.91{col 46}{space 3}0.364{col 54}{space 4}-.0553255{col 67}{space 3} .1499061
{txt}b_h_embe~d_d {c |}{col 14}{res}{space 2}-.0145201{col 26}{space 2} .0371919{col 37}{space 1}   -0.39{col 46}{space 3}0.697{col 54}{space 4}-.0878923{col 67}{space 3} .0588521
{txt}{space 2}b_patsat_z {c |}{col 14}{res}{space 2} .1384299{col 26}{space 2} .0151302{col 37}{space 1}    9.15{col 46}{space 3}0.000{col 54}{space 4}  .108581{col 67}{space 3} .1682789
{txt}b_patsat_z_d {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
c_tfull_b_~d {c |}{col 14}{res}{space 2} .0073618{col 26}{space 2} .0420404{col 37}{space 1}    0.18{col 46}{space 3}0.861{col 54}{space 4}-.0755755{col 67}{space 3} .0902991
{txt}c_tfull_ed~r {c |}{col 14}{res}{space 2} .0025559{col 26}{space 2} .0027177{col 37}{space 1}    0.94{col 46}{space 3}0.348{col 54}{space 4}-.0028057{col 67}{space 3} .0079174
{txt}c_tfull_b_~x {c |}{col 14}{res}{space 2} .0097292{col 26}{space 2} .0101698{col 37}{space 1}    0.96{col 46}{space 3}0.340{col 54}{space 4}-.0103339{col 67}{space 3} .0297923
{txt}c_treatful.. {c |}{col 14}{res}{space 2}-.0294193{col 26}{space 2} .0514234{col 37}{space 1}   -0.57{col 46}{space 3}0.568{col 54}{space 4}-.1308673{col 67}{space 3} .0720288
{txt}c_treatful.. {c |}{col 14}{res}{space 2} .0023472{col 26}{space 2} .0036443{col 37}{space 1}    0.64{col 46}{space 3}0.520{col 54}{space 4}-.0048423{col 67}{space 3} .0095368
{txt}c_treatful.. {c |}{col 14}{res}{space 2}-.0164695{col 26}{space 2} .0143034{col 37}{space 1}   -1.15{col 46}{space 3}0.251{col 54}{space 4}-.0446872{col 67}{space 3} .0117482
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} .0059474{col 26}{space 2} .0259787{col 37}{space 1}    0.23{col 46}{space 3}0.819{col 54}{space 4}-.0453033{col 67}{space 3} .0571982
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull + treatfull_embededness = 0{p_end}

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}  e_patsat_z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}(1) {c |}{col 14}{res}{space 2} .0995815{col 26}{space 2} .0358099{col 37}{space 1}    2.78{col 46}{space 3}0.006{col 54}{space 4} .0289358{col 67}{space 3} .1702271
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull + treatfull_embededness = 0{p_end}

{txt}       F(  1,   186) ={res}    7.73
{txt}{col 13}Prob > F ={res}    0.0060
{txt}note: b_commtg_z_d omitted because of collinearity
{res}
{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}     7,288
{txt}{col 49}F({res}  10{txt},{res}    186{txt}){col 67}= {res}      8.69
{txt}{col 49}Prob > F{col 67}= {res}    0.0000
{txt}{col 49}R-squared{col 67}= {res}    0.0939
{txt}{col 49}Adj R-squared{col 67}= {res}    0.0908
{txt}{col 49}Root MSE{col 67}= {res}    0.5596

{txt}{ralign 78:(Std. Err. adjusted for {res:187} clusters in hc_id)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}  e_commtg_z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2} .0034905{col 26}{space 2}  .042369{col 37}{space 1}    0.08{col 46}{space 3}0.934{col 54}{space 4}-.0800951{col 67}{space 3} .0870761
{txt}treatfull_~s {c |}{col 14}{res}{space 2}  .004115{col 26}{space 2} .0566382{col 37}{space 1}    0.07{col 46}{space 3}0.942{col 54}{space 4}-.1076209{col 67}{space 3} .1158508
{txt}b_h_embe~d_d {c |}{col 14}{res}{space 2}-.0722582{col 26}{space 2}   .03804{col 37}{space 1}   -1.90{col 46}{space 3}0.059{col 54}{space 4}-.1473034{col 67}{space 3} .0027871
{txt}{space 2}b_commtg_z {c |}{col 14}{res}{space 2} .0776134{col 26}{space 2} .0132747{col 37}{space 1}    5.85{col 46}{space 3}0.000{col 54}{space 4} .0514251{col 67}{space 3} .1038017
{txt}b_commtg_z_d {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
c_tfull_b_~d {c |}{col 14}{res}{space 2} .0426111{col 26}{space 2} .0469129{col 37}{space 1}    0.91{col 46}{space 3}0.365{col 54}{space 4}-.0499387{col 67}{space 3} .1351609
{txt}c_tfull_ed~r {c |}{col 14}{res}{space 2} .0035824{col 26}{space 2} .0024956{col 37}{space 1}    1.44{col 46}{space 3}0.153{col 54}{space 4}-.0013409{col 67}{space 3} .0085056
{txt}c_tfull_b_~x {c |}{col 14}{res}{space 2} .0266137{col 26}{space 2} .0118855{col 37}{space 1}    2.24{col 46}{space 3}0.026{col 54}{space 4}  .003166{col 67}{space 3} .0500613
{txt}c_treatful.. {c |}{col 14}{res}{space 2} .1111515{col 26}{space 2} .0647001{col 37}{space 1}    1.72{col 46}{space 3}0.087{col 54}{space 4}-.0164889{col 67}{space 3}  .238792
{txt}c_treatful.. {c |}{col 14}{res}{space 2} .0006532{col 26}{space 2} .0035585{col 37}{space 1}    0.18{col 46}{space 3}0.855{col 54}{space 4}-.0063671{col 67}{space 3} .0076735
{txt}c_treatful.. {c |}{col 14}{res}{space 2}-.0021893{col 26}{space 2} .0192192{col 37}{space 1}   -0.11{col 46}{space 3}0.909{col 54}{space 4}-.0401048{col 67}{space 3} .0357263
{txt}{space 7}_cons {c |}{col 14}{res}{space 2}   .03951{col 26}{space 2}   .02842{col 37}{space 1}    1.39{col 46}{space 3}0.166{col 54}{space 4} -.016557{col 67}{space 3}  .095577
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull + treatfull_embededness = 0{p_end}

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}  e_commtg_z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}(1) {c |}{col 14}{res}{space 2} .0076055{col 26}{space 2}   .03724{col 37}{space 1}    0.20{col 46}{space 3}0.838{col 54}{space 4}-.0658616{col 67}{space 3} .0810725
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull + treatfull_embededness = 0{p_end}

{txt}       F(  1,   186) ={res}    0.04
{txt}{col 13}Prob > F ={res}    0.8384
{txt}
{com}.                 
.         * Subgroup Effects: Collective Action Potential
.         
.         foreach x in `indices' {c -(}
{txt}  2{com}.         
.                 areg e_`x' treatfull treatfull_capotential b_capotential_z_med_d b_`x' b_`x'_d `e_controls_tfull' `treatfull_int_e_controls', robust cl(hc_id) a(district)
{txt}  3{com}.                 eststo e_`x'_cap
{txt}  4{com}.                 local n_cap_`x' = string(e(N),"%9.0fc")
{txt}  5{com}.                 local r2_cap_`x' = string(e(r2),"%9.3fc")
{txt}  6{com}.                 
.                 lincom treatfull + treatfull_capotential
{txt}  7{com}.                 local est_cap_`x' = r(estimate)
{txt}  8{com}.                 local se_cap_`x' = r(se)
{txt}  9{com}.                 test treatfull + treatfull_capotential = 0
{txt} 10{com}.                 local p_cap_`x' = r(p)
{txt} 11{com}.                 
.                 local est_bcap_`x' = string(_b[treatfull],"%9.3fc")
{txt} 12{com}.                 local se_bcap_`x' = string(_se[treatfull],"%9.3fc")
{txt} 13{com}.                 local p_bcap_`x' = (2 * ttail(e(df_r), abs(_b[treatfull]/_se[treatfull])))
{txt} 14{com}.                 
.                 local est_tmxcap_`x' = string(_b[treatfull_capotential],"%9.3fc")
{txt} 15{com}.                 local se_tmxcap_`x' = string(_se[treatfull_capotential],"%9.3fc")
{txt} 16{com}.                 local p_tmxcap_`x' = (2 * ttail(e(df_r), abs(_b[treatfull_capotential]/_se[treatfull_capotential])))
{txt} 17{com}.                 
.                 local est_smcap_`x' = string(_b[b_capotential_z_med_d],"%9.3fc")
{txt} 18{com}.                 local se_smcap_`x' = string(_se[b_capotential_z_med_d],"%9.3fc")
{txt} 19{com}.                 local p_smcap_`x' = (2 * ttail(e(df_r), abs(_b[b_capotential_z_med_d]/_se[b_capotential_z_med_d])))
{txt} 20{com}.                 
.                 local est_ccap_`x' = string(_b[_cons],"%9.3fc")
{txt} 21{com}.                 local se_ccap_`x' = string(_se[_cons],"%9.3fc")
{txt} 22{com}.                 local p_ccap_`x' = (2 * ttail(e(df_r), abs(_b[_cons]/_se[_cons])))
{txt} 23{com}.                 
.                 foreach var in bcap tmxcap smcap ccap {c -(}
{txt} 24{com}.                 
.                         gen sign_`var'_zero_`x' = (`p_`var'_`x''>0.1)
{txt} 25{com}.                         gen sign_`var'_p1s_`x' = (`p_`var'_`x''<=0.1 & `p_`var'_`x''>0.05 & `est_`var'_`x''>0)
{txt} 26{com}.                         gen sign_`var'_p2s_`x' = (`p_`var'_`x''<=0.05 & `p_`var'_`x''>0.01 & `est_`var'_`x''>0)
{txt} 27{com}.                         gen sign_`var'_p3s_`x' = (`p_`var'_`x''<=0.01 & `p_`var'_`x''>=0 & `est_`var'_`x''>0)
{txt} 28{com}.                         gen sign_`var'_m1s_`x' = (`p_`var'_`x''<=0.1 & `p_`var'_`x''>0.05 & `est_`var'_`x''<0)
{txt} 29{com}.                         gen sign_`var'_m2s_`x' = (`p_`var'_`x''<=0.05 & `p_`var'_`x''>0.01 & `est_`var'_`x''<0)
{txt} 30{com}.                         gen sign_`var'_m3s_`x' = (`p_`var'_`x''<=0.01 & `p_`var'_`x''>=0 & `est_`var'_`x''<0)
{txt} 31{com}.                         
.                         if sign_`var'_p1s_`x' == 1 {c -(}
{txt} 32{com}.                                         local sign_`var'_`x' = "\cellcolor[HTML]{c -(}EFEFEF{c )-}+"
{txt} 33{com}.                                         local est_`var'_`x' = "`est_`var'_`x''*"
{txt} 34{com}.                                         {c )-}
{txt} 35{com}.                                         
.                         if sign_`var'_p2s_`x' == 1 {c -(}    
{txt} 36{com}.                                         local sign_`var'_`x' = "\cellcolor[HTML]{c -(}C0C0C0{c )-}+"
{txt} 37{com}.                                         local est_`var'_`x' = "`est_`var'_`x''**"
{txt} 38{com}.                                         {c )-}
{txt} 39{com}.                                         
.                         if sign_`var'_p3s_`x' == 1 {c -(}    
{txt} 40{com}.                                         local sign_`var'_`x' = "\cellcolor[HTML]{c -(}9B9B9B{c )-}+"
{txt} 41{com}.                                         local est_`var'_`x' = "`est_`var'_`x''***"
{txt} 42{com}.                                         {c )-}
{txt} 43{com}.                                 
.                         if sign_`var'_m1s_`x' == 1 {c -(}
{txt} 44{com}.                                         local sign_`var'_`x' = "\cellcolor[HTML]{c -(}EFEFEF{c )-}-"
{txt} 45{com}.                                         local est_`var'_`x' = "`est_`var'_`x''*"
{txt} 46{com}.                                         {c )-}
{txt} 47{com}.                                         
.                         if sign_`var'_m2s_`x' == 1 {c -(}    
{txt} 48{com}.                                         local sign_`var'_`x' = "\cellcolor[HTML]{c -(}C0C0C0{c )-}-"
{txt} 49{com}.                                         local est_`var'_`x' = "`est_`var'_`x''**"
{txt} 50{com}.                                         {c )-}
{txt} 51{com}.                                         
.                         if sign_`var'_m3s_`x' == 1 {c -(}    
{txt} 52{com}.                                         local sign_`var'_`x' = "\cellcolor[HTML]{c -(}9B9B9B{c )-}-"
{txt} 53{com}.                                         local est_`var'_`x' = "`est_`var'_`x''***"
{txt} 54{com}.                                         {c )-}
{txt} 55{com}.                                 
.                         if sign_`var'_zero_`x' == 1 {c -(}
{txt} 56{com}.                                 local sign_`var'_`x' = "0"
{txt} 57{com}.                                 {c )-}
{txt} 58{com}.                                 
.                         {c )-}
{txt} 59{com}.                         
.                 gen sign_cap_zero_`x' = (`p_cap_`x''>0.1)
{txt} 60{com}.                 gen sign_cap_p1s_`x' = (`p_cap_`x''<=0.1 & `p_cap_`x''>0.05 & `est_cap_`x''>0)
{txt} 61{com}.                 gen sign_cap_p2s_`x' = (`p_cap_`x''<=0.05 & `p_cap_`x''>0.01 & `est_cap_`x''>0)
{txt} 62{com}.                 gen sign_cap_p3s_`x' = (`p_cap_`x''<=0.01 & `p_cap_`x''>=0 & `est_cap_`x''>0)
{txt} 63{com}.                 gen sign_cap_m1s_`x' = (`p_cap_`x''<=0.1 & `p_cap_`x''>0.05 & `est_cap_`x''<0)
{txt} 64{com}.                 gen sign_cap_m2s_`x' = (`p_cap_`x''<=0.05 & `p_cap_`x''>0.01 & `est_cap_`x''<0)
{txt} 65{com}.                 gen sign_cap_m3s_`x' = (`p_cap_`x''<=0.01 & `p_cap_`x''>=0 & `est_cap_`x''<0)
{txt} 66{com}.                 
.                 local p_cap_`x' = string(`p_cap_`x'',"%9.3fc")
{txt} 67{com}.                 local est_cap_`x' = string(`est_cap_`x'',"%9.3fc")
{txt} 68{com}.                 local se_cap_`x' = string(`se_cap_`x'',"%9.3fc")
{txt} 69{com}.                 
.                 if sign_cap_p1s_`x' == 1 {c -(}
{txt} 70{com}.                                 local sign_cap_`x' = "\cellcolor[HTML]{c -(}EFEFEF{c )-}+"
{txt} 71{com}.                                 local est_cap_`x' = "`est_cap_`x''*"
{txt} 72{com}.                                 {c )-}
{txt} 73{com}.                                 
.                 if sign_cap_p2s_`x' == 1 {c -(}      
{txt} 74{com}.                                 local sign_cap_`x' = "\cellcolor[HTML]{c -(}C0C0C0{c )-}+"
{txt} 75{com}.                                 local est_cap_`x' = "`est_cap_`x''**"
{txt} 76{com}.                                 {c )-}
{txt} 77{com}.                                 
.                 if sign_cap_p3s_`x' == 1 {c -(}      
{txt} 78{com}.                                 local sign_cap_`x' = "\cellcolor[HTML]{c -(}9B9B9B{c )-}+"
{txt} 79{com}.                                 local est_cap_`x' = "`est_cap_`x''***"
{txt} 80{com}.                                 {c )-}
{txt} 81{com}.                         
.                 if sign_cap_m1s_`x' == 1 {c -(}
{txt} 82{com}.                                 local sign_cap_`x' = "\cellcolor[HTML]{c -(}EFEFEF{c )-}-"
{txt} 83{com}.                                 local est_cap_`x' = "`est_cap_`x''*"
{txt} 84{com}.                                 {c )-}
{txt} 85{com}.                                 
.                 if sign_cap_m2s_`x' == 1 {c -(}      
{txt} 86{com}.                                 local sign_cap_`x' = "\cellcolor[HTML]{c -(}C0C0C0{c )-}-"
{txt} 87{com}.                                 local est_cap_`x' = "`est_cap_`x''**"
{txt} 88{com}.                                 {c )-}
{txt} 89{com}.                                 
.                 if sign_cap_m3s_`x' == 1 {c -(}      
{txt} 90{com}.                                 local sign_cap_`x' = "\cellcolor[HTML]{c -(}9B9B9B{c )-}-"
{txt} 91{com}.                                 local est_cap_`x' = "`est_cap_`x''***"
{txt} 92{com}.                                 {c )-}
{txt} 93{com}.                         
.                 if sign_cap_zero_`x' == 1 {c -(}
{txt} 94{com}.                         local sign_cap_`x' = "0"
{txt} 95{com}.                         {c )-}
{txt} 96{com}.                 
.                 drop sign_*
{txt} 97{com}.                 
.                 {c )-}
{txt}note: b_urate_z_d omitted because of collinearity
{res}
{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}     7,288
{txt}{col 49}F({res}  10{txt},{res}    186{txt}){col 67}= {res}     80.17
{txt}{col 49}Prob > F{col 67}= {res}    0.0000
{txt}{col 49}R-squared{col 67}= {res}    0.2317
{txt}{col 49}Adj R-squared{col 67}= {res}    0.2291
{txt}{col 49}Root MSE{col 67}= {res}    0.6606

{txt}{ralign 78:(Std. Err. adjusted for {res:187} clusters in hc_id)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}   e_urate_z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2} .0444838{col 26}{space 2}   .03303{col 37}{space 1}    1.35{col 46}{space 3}0.180{col 54}{space 4}-.0206778{col 67}{space 3} .1096454
{txt}treatful~ial {c |}{col 14}{res}{space 2} -.029938{col 26}{space 2} .0438772{col 37}{space 1}   -0.68{col 46}{space 3}0.496{col 54}{space 4}-.1164989{col 67}{space 3}  .056623
{txt}b_capotent.. {c |}{col 14}{res}{space 2} .0803355{col 26}{space 2}  .032008{col 37}{space 1}    2.51{col 46}{space 3}0.013{col 54}{space 4} .0171902{col 67}{space 3} .1434809
{txt}{space 3}b_urate_z {c |}{col 14}{res}{space 2} .3534609{col 26}{space 2} .0145314{col 37}{space 1}   24.32{col 46}{space 3}0.000{col 54}{space 4} .3247933{col 67}{space 3} .3821286
{txt}{space 1}b_urate_z_d {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
c_tfull_b_~d {c |}{col 14}{res}{space 2} .1613348{col 26}{space 2} .0590338{col 37}{space 1}    2.73{col 46}{space 3}0.007{col 54}{space 4}  .044873{col 67}{space 3} .2777967
{txt}c_tfull_ed~r {c |}{col 14}{res}{space 2}-.0128316{col 26}{space 2} .0028671{col 37}{space 1}   -4.48{col 46}{space 3}0.000{col 54}{space 4}-.0184878{col 67}{space 3}-.0071754
{txt}c_tfull_b_~x {c |}{col 14}{res}{space 2}-.0396122{col 26}{space 2} .0129271{col 37}{space 1}   -3.06{col 46}{space 3}0.003{col 54}{space 4}-.0651148{col 67}{space 3}-.0141096
{txt}c_treatful.. {c |}{col 14}{res}{space 2}-.0306007{col 26}{space 2} .0819193{col 37}{space 1}   -0.37{col 46}{space 3}0.709{col 54}{space 4}-.1922111{col 67}{space 3} .1310097
{txt}c_treatful.. {c |}{col 14}{res}{space 2} .0021215{col 26}{space 2} .0042102{col 37}{space 1}    0.50{col 46}{space 3}0.615{col 54}{space 4}-.0061843{col 67}{space 3} .0104273
{txt}c_treatful.. {c |}{col 14}{res}{space 2}-.0115353{col 26}{space 2} .0190272{col 37}{space 1}   -0.61{col 46}{space 3}0.545{col 54}{space 4}-.0490722{col 67}{space 3} .0260017
{txt}{space 7}_cons {c |}{col 14}{res}{space 2}-.0661806{col 26}{space 2} .0242344{col 37}{space 1}   -2.73{col 46}{space 3}0.007{col 54}{space 4}-.1139902{col 67}{space 3} -.018371
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull + treatfull_capotential = 0{p_end}

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}   e_urate_z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}(1) {c |}{col 14}{res}{space 2} .0145458{col 26}{space 2} .0285282{col 37}{space 1}    0.51{col 46}{space 3}0.611{col 54}{space 4}-.0417347{col 67}{space 3} .0708264
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull + treatfull_capotential = 0{p_end}

{txt}       F(  1,   186) ={res}    0.26
{txt}{col 13}Prob > F ={res}    0.6107
{txt}note: b_treatqual_z_d omitted because of collinearity
{res}
{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}     7,288
{txt}{col 49}F({res}  10{txt},{res}    186{txt}){col 67}= {res}      5.28
{txt}{col 49}Prob > F{col 67}= {res}    0.0000
{txt}{col 49}R-squared{col 67}= {res}    0.0928
{txt}{col 49}Adj R-squared{col 67}= {res}    0.0897
{txt}{col 49}Root MSE{col 67}= {res}    0.3532

{txt}{ralign 78:(Std. Err. adjusted for {res:187} clusters in hc_id)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}e_treatq~l_z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2} .0927627{col 26}{space 2} .0431851{col 37}{space 1}    2.15{col 46}{space 3}0.033{col 54}{space 4} .0075672{col 67}{space 3} .1779582
{txt}treatful~ial {c |}{col 14}{res}{space 2}-.0411131{col 26}{space 2} .0556733{col 37}{space 1}   -0.74{col 46}{space 3}0.461{col 54}{space 4}-.1509453{col 67}{space 3} .0687191
{txt}b_capotent.. {c |}{col 14}{res}{space 2} .0354754{col 26}{space 2} .0427678{col 37}{space 1}    0.83{col 46}{space 3}0.408{col 54}{space 4} -.048897{col 67}{space 3} .1198477
{txt}b_treatq~l_z {c |}{col 14}{res}{space 2} .1100122{col 26}{space 2} .0209698{col 37}{space 1}    5.25{col 46}{space 3}0.000{col 54}{space 4}  .068643{col 67}{space 3} .1513815
{txt}b_trea~l_z_d {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
c_tfull_b_~d {c |}{col 14}{res}{space 2} .0111644{col 26}{space 2}  .023586{col 37}{space 1}    0.47{col 46}{space 3}0.637{col 54}{space 4}-.0353661{col 67}{space 3}  .057695
{txt}c_tfull_ed~r {c |}{col 14}{res}{space 2}-.0024646{col 26}{space 2} .0016733{col 37}{space 1}   -1.47{col 46}{space 3}0.142{col 54}{space 4}-.0057656{col 67}{space 3} .0008365
{txt}c_tfull_b_~x {c |}{col 14}{res}{space 2} .0022611{col 26}{space 2} .0094537{col 37}{space 1}    0.24{col 46}{space 3}0.811{col 54}{space 4}-.0163892{col 67}{space 3} .0209115
{txt}c_treatful.. {c |}{col 14}{res}{space 2} .0451078{col 26}{space 2} .0327199{col 37}{space 1}    1.38{col 46}{space 3}0.170{col 54}{space 4}-.0194421{col 67}{space 3} .1096576
{txt}c_treatful.. {c |}{col 14}{res}{space 2}  .002421{col 26}{space 2} .0023134{col 37}{space 1}    1.05{col 46}{space 3}0.297{col 54}{space 4}-.0021429{col 67}{space 3}  .006985
{txt}c_treatful.. {c |}{col 14}{res}{space 2}-.0215101{col 26}{space 2} .0144494{col 37}{space 1}   -1.49{col 46}{space 3}0.138{col 54}{space 4}-.0500158{col 67}{space 3} .0069956
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} -.019514{col 26}{space 2} .0324848{col 37}{space 1}   -0.60{col 46}{space 3}0.549{col 54}{space 4}-.0835999{col 67}{space 3}  .044572
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull + treatfull_capotential = 0{p_end}

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}e_treatq~l_z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}(1) {c |}{col 14}{res}{space 2} .0516496{col 26}{space 2}  .034108{col 37}{space 1}    1.51{col 46}{space 3}0.132{col 54}{space 4}-.0156387{col 67}{space 3} .1189378
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull + treatfull_capotential = 0{p_end}

{txt}       F(  1,   186) ={res}    2.29
{txt}{col 13}Prob > F ={res}    0.1316
{txt}note: b_patsat_z_d omitted because of collinearity
{res}
{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}     7,288
{txt}{col 49}F({res}  10{txt},{res}    186{txt}){col 67}= {res}     11.67
{txt}{col 49}Prob > F{col 67}= {res}    0.0000
{txt}{col 49}R-squared{col 67}= {res}    0.0426
{txt}{col 49}Adj R-squared{col 67}= {res}    0.0393
{txt}{col 49}Root MSE{col 67}= {res}    0.5860

{txt}{ralign 78:(Std. Err. adjusted for {res:187} clusters in hc_id)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}  e_patsat_z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2} .1025963{col 26}{space 2} .0405949{col 37}{space 1}    2.53{col 46}{space 3}0.012{col 54}{space 4} .0225106{col 67}{space 3} .1826819
{txt}treatful~ial {c |}{col 14}{res}{space 2}-.0478711{col 26}{space 2} .0503259{col 37}{space 1}   -0.95{col 46}{space 3}0.343{col 54}{space 4} -.147154{col 67}{space 3} .0514117
{txt}b_capotent.. {c |}{col 14}{res}{space 2}  .112759{col 26}{space 2} .0367637{col 37}{space 1}    3.07{col 46}{space 3}0.002{col 54}{space 4} .0402316{col 67}{space 3} .1852864
{txt}{space 2}b_patsat_z {c |}{col 14}{res}{space 2}  .137666{col 26}{space 2} .0151324{col 37}{space 1}    9.10{col 46}{space 3}0.000{col 54}{space 4} .1078128{col 67}{space 3} .1675193
{txt}b_patsat_z_d {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
c_tfull_b_~d {c |}{col 14}{res}{space 2} .0017138{col 26}{space 2} .0435628{col 37}{space 1}    0.04{col 46}{space 3}0.969{col 54}{space 4}-.0842269{col 67}{space 3} .0876544
{txt}c_tfull_ed~r {c |}{col 14}{res}{space 2} .0022622{col 26}{space 2} .0026625{col 37}{space 1}    0.85{col 46}{space 3}0.397{col 54}{space 4}-.0029904{col 67}{space 3} .0075147
{txt}c_tfull_b_~x {c |}{col 14}{res}{space 2} .0111014{col 26}{space 2} .0099704{col 37}{space 1}    1.11{col 46}{space 3}0.267{col 54}{space 4}-.0085682{col 67}{space 3} .0307711
{txt}c_treatful.. {c |}{col 14}{res}{space 2}-.0230225{col 26}{space 2} .0534219{col 37}{space 1}   -0.43{col 46}{space 3}0.667{col 54}{space 4}-.1284132{col 67}{space 3} .0823683
{txt}c_treatful.. {c |}{col 14}{res}{space 2} .0018141{col 26}{space 2} .0036082{col 37}{space 1}    0.50{col 46}{space 3}0.616{col 54}{space 4}-.0053042{col 67}{space 3} .0089324
{txt}c_treatful.. {c |}{col 14}{res}{space 2}-.0171926{col 26}{space 2} .0143151{col 37}{space 1}   -1.20{col 46}{space 3}0.231{col 54}{space 4}-.0454335{col 67}{space 3} .0110483
{txt}{space 7}_cons {c |}{col 14}{res}{space 2}-.0662299{col 26}{space 2}  .030272{col 37}{space 1}   -2.19{col 46}{space 3}0.030{col 54}{space 4}-.1259506{col 67}{space 3}-.0065092
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull + treatfull_capotential = 0{p_end}

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}  e_patsat_z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}(1) {c |}{col 14}{res}{space 2} .0547251{col 26}{space 2} .0290878{col 37}{space 1}    1.88{col 46}{space 3}0.061{col 54}{space 4}-.0026593{col 67}{space 3} .1121096
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull + treatfull_capotential = 0{p_end}

{txt}       F(  1,   186) ={res}    3.54
{txt}{col 13}Prob > F ={res}    0.0615
{txt}note: b_commtg_z_d omitted because of collinearity
{res}
{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}     7,288
{txt}{col 49}F({res}  10{txt},{res}    186{txt}){col 67}= {res}      7.87
{txt}{col 49}Prob > F{col 67}= {res}    0.0000
{txt}{col 49}R-squared{col 67}= {res}    0.0921
{txt}{col 49}Adj R-squared{col 67}= {res}    0.0890
{txt}{col 49}Root MSE{col 67}= {res}    0.5601

{txt}{ralign 78:(Std. Err. adjusted for {res:187} clusters in hc_id)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}  e_commtg_z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2} .0365755{col 26}{space 2}  .048543{col 37}{space 1}    0.75{col 46}{space 3}0.452{col 54}{space 4}-.0591902{col 67}{space 3} .1323412
{txt}treatful~ial {c |}{col 14}{res}{space 2}-.0509681{col 26}{space 2} .0605143{col 37}{space 1}   -0.84{col 46}{space 3}0.401{col 54}{space 4}-.1703506{col 67}{space 3} .0684145
{txt}b_capotent.. {c |}{col 14}{res}{space 2} .0668174{col 26}{space 2} .0403791{col 37}{space 1}    1.65{col 46}{space 3}0.100{col 54}{space 4}-.0128424{col 67}{space 3} .1464772
{txt}{space 2}b_commtg_z {c |}{col 14}{res}{space 2} .0772699{col 26}{space 2} .0133196{col 37}{space 1}    5.80{col 46}{space 3}0.000{col 54}{space 4}  .050993{col 67}{space 3} .1035469
{txt}b_commtg_z_d {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
c_tfull_b_~d {c |}{col 14}{res}{space 2} .0359365{col 26}{space 2} .0504697{col 37}{space 1}    0.71{col 46}{space 3}0.477{col 54}{space 4}-.0636301{col 67}{space 3} .1355031
{txt}c_tfull_ed~r {c |}{col 14}{res}{space 2} .0032211{col 26}{space 2} .0024301{col 37}{space 1}    1.33{col 46}{space 3}0.187{col 54}{space 4} -.001573{col 67}{space 3} .0080152
{txt}c_tfull_b_~x {c |}{col 14}{res}{space 2} .0272658{col 26}{space 2} .0116061{col 37}{space 1}    2.35{col 46}{space 3}0.020{col 54}{space 4} .0043694{col 67}{space 3} .0501623
{txt}c_treatful.. {c |}{col 14}{res}{space 2} .1127216{col 26}{space 2} .0671575{col 37}{space 1}    1.68{col 46}{space 3}0.095{col 54}{space 4}-.0197668{col 67}{space 3}   .24521
{txt}c_treatful.. {c |}{col 14}{res}{space 2} .0009019{col 26}{space 2} .0035213{col 37}{space 1}    0.26{col 46}{space 3}0.798{col 54}{space 4}-.0060449{col 67}{space 3} .0078488
{txt}c_treatful.. {c |}{col 14}{res}{space 2}-.0065473{col 26}{space 2} .0190604{col 37}{space 1}   -0.34{col 46}{space 3}0.732{col 54}{space 4}-.0441497{col 67}{space 3} .0310551
{txt}{space 7}_cons {c |}{col 14}{res}{space 2}-.0359197{col 26}{space 2}  .030335{col 37}{space 1}   -1.18{col 46}{space 3}0.238{col 54}{space 4}-.0957646{col 67}{space 3} .0239252
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull + treatfull_capotential = 0{p_end}

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}  e_commtg_z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}(1) {c |}{col 14}{res}{space 2}-.0143926{col 26}{space 2} .0349601{col 37}{space 1}   -0.41{col 46}{space 3}0.681{col 54}{space 4}-.0833618{col 67}{space 3} .0545766
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull + treatfull_capotential = 0{p_end}

{txt}       F(  1,   186) ={res}    0.17
{txt}{col 13}Prob > F ={res}    0.6810
{txt}
{com}.         
.         
.         * Subgroup Effects: Community Monitoring
.         
.         * We create the vector of controls with HC level components
.         
.         local  e_controls_noprefix hc2 b_h_del b_h_staff_houses b_visited_d educyr b_assetindex
{txt}
{com}.                 
.         foreach x in e_ {c -(}
{txt}  2{com}.                 
.                 local `x'controls
{txt}  3{com}.                 local `x'controls_hc
{txt}  4{com}.                 
.                 local `x'controls_tfull
{txt}  5{com}.                 local `x'controls_tfull_hc
{txt}  6{com}.                         
.                 {c )-}
{txt}
{com}.                 
.         foreach x in e_ {c -(}
{txt}  2{com}.                 foreach var in treatfull {c -(}
{txt}  3{com}.                 
.                         local `var'_int_`x'controls
{txt}  4{com}.                         local `var'_hc_int_`x'controls
{txt}  5{com}.                         
.                         {c )-}
{txt}  6{com}.                 {c )-}
{txt}
{com}.                                 
.         foreach var of local e_controls_noprefix {c -(}
{txt}  2{com}.                 local e_controls `e_controls' c_`var'
{txt}  3{com}.                 local e_controls_tfull `e_controls_tfull' c_tfull_`var'
{txt}  4{com}.                 
.                 local e_controls_hc `e_controls_hc' c_hc_`var'
{txt}  5{com}.                 local e_controls_tfull_hc `e_controls_tfull_hc' c_tfull_hc_`var'
{txt}  6{com}.                 {c )-}
{txt}
{com}.                         
.         foreach treat in treatfull {c -(}
{txt}  2{com}.                 foreach var of local e_controls_noprefix {c -(}
{txt}  3{com}.                 
.                         local `treat'_int_e_controls ``treat'_int_e_controls' c_`treat'_`var'
{txt}  4{com}.                         local `treat'_hc_int_e_controls ``treat'_hc_int_e_controls' c_`treat'_hc_`var'
{txt}  5{com}.                         
.                         {c )-}
{txt}  6{com}.                 {c )-}
{txt}
{com}.                 
.         * We regress the results
.         
.         foreach x in `indices' {c -(}
{txt}  2{com}.         
.                 areg e_`x' treatfull treatfull_commtg b_commtg_z_med_d b_`x' b_`x'_d `e_controls_tfull' `treatfull_int_e_controls', robust cl(hc_id) a(district)
{txt}  3{com}.                 eststo e_`x'_commtg
{txt}  4{com}.                 local n_commtg_`x' = string(e(N),"%9.0fc")
{txt}  5{com}.                 local r2_commtg_`x' = string(e(r2),"%9.3fc")
{txt}  6{com}.                 
.                 lincom treatfull + treatfull_commtg
{txt}  7{com}.                 local est_commtg_`x' = r(estimate)
{txt}  8{com}.                 local se_commtg_`x' = r(se)
{txt}  9{com}.                 test treatfull + treatfull_commtg = 0
{txt} 10{com}.                 local p_commtg_`x' = r(p)
{txt} 11{com}.                 
.                 local est_bcommtg_`x' = string(_b[treatfull],"%9.3fc")
{txt} 12{com}.                 local se_bcommtg_`x' = string(_se[treatfull],"%9.3fc")
{txt} 13{com}.                 local p_bcommtg_`x' = (2 * ttail(e(df_r), abs(_b[treatfull]/_se[treatfull])))
{txt} 14{com}.                 
.                 local est_tmxcommtg_`x' = string(_b[treatfull_commtg],"%9.3fc")
{txt} 15{com}.                 local se_tmxcommtg_`x' = string(_se[treatfull_commtg],"%9.3fc")
{txt} 16{com}.                 local p_tmxcommtg_`x' = (2 * ttail(e(df_r), abs(_b[treatfull_commtg]/_se[treatfull_commtg])))
{txt} 17{com}.                 
.                 local est_smcommtg_`x' = string(_b[b_commtg_z_med_d],"%9.3fc")
{txt} 18{com}.                 local se_smcommtg_`x' = string(_se[b_commtg_z_med_d],"%9.3fc")
{txt} 19{com}.                 local p_smcommtg_`x' = (2 * ttail(e(df_r), abs(_b[b_commtg_z_med_d]/_se[b_commtg_z_med_d])))
{txt} 20{com}.                 
.                 local est_ccommtg_`x' = string(_b[_cons],"%9.3fc")
{txt} 21{com}.                 local se_ccommtg_`x' = string(_se[_cons],"%9.3fc")
{txt} 22{com}.                 local p_ccommtg_`x' = (2 * ttail(e(df_r), abs(_b[_cons]/_se[_cons])))
{txt} 23{com}.                 
.                 foreach var in bcommtg tmxcommtg smcommtg ccommtg {c -(}
{txt} 24{com}.                 
.                         gen sign_`var'_zero_`x' = (`p_`var'_`x''>0.1)
{txt} 25{com}.                         gen sign_`var'_p1s_`x' = (`p_`var'_`x''<=0.1 & `p_`var'_`x''>0.05 & `est_`var'_`x''>0)
{txt} 26{com}.                         gen sign_`var'_p2s_`x' = (`p_`var'_`x''<=0.05 & `p_`var'_`x''>0.01 & `est_`var'_`x''>0)
{txt} 27{com}.                         gen sign_`var'_p3s_`x' = (`p_`var'_`x''<=0.01 & `p_`var'_`x''>=0 & `est_`var'_`x''>0)
{txt} 28{com}.                         gen sign_`var'_m1s_`x' = (`p_`var'_`x''<=0.1 & `p_`var'_`x''>0.05 & `est_`var'_`x''<0)
{txt} 29{com}.                         gen sign_`var'_m2s_`x' = (`p_`var'_`x''<=0.05 & `p_`var'_`x''>0.01 & `est_`var'_`x''<0)
{txt} 30{com}.                         gen sign_`var'_m3s_`x' = (`p_`var'_`x''<=0.01 & `p_`var'_`x''>=0 & `est_`var'_`x''<0)
{txt} 31{com}.                         
.                         if sign_`var'_p1s_`x' == 1 {c -(}
{txt} 32{com}.                                         local sign_`var'_`x' = "\cellcolor[HTML]{c -(}EFEFEF{c )-}+"
{txt} 33{com}.                                         local est_`var'_`x' = "`est_`var'_`x''*"
{txt} 34{com}.                                         {c )-}
{txt} 35{com}.                                         
.                         if sign_`var'_p2s_`x' == 1 {c -(}    
{txt} 36{com}.                                         local sign_`var'_`x' = "\cellcolor[HTML]{c -(}C0C0C0{c )-}+"
{txt} 37{com}.                                         local est_`var'_`x' = "`est_`var'_`x''**"
{txt} 38{com}.                                         {c )-}
{txt} 39{com}.                                         
.                         if sign_`var'_p3s_`x' == 1 {c -(}    
{txt} 40{com}.                                         local sign_`var'_`x' = "\cellcolor[HTML]{c -(}9B9B9B{c )-}+"
{txt} 41{com}.                                         local est_`var'_`x' = "`est_`var'_`x''***"
{txt} 42{com}.                                         {c )-}
{txt} 43{com}.                                 
.                         if sign_`var'_m1s_`x' == 1 {c -(}
{txt} 44{com}.                                         local sign_`var'_`x' = "\cellcolor[HTML]{c -(}EFEFEF{c )-}-"
{txt} 45{com}.                                         local est_`var'_`x' = "`est_`var'_`x''*"
{txt} 46{com}.                                         {c )-}
{txt} 47{com}.                                         
.                         if sign_`var'_m2s_`x' == 1 {c -(}    
{txt} 48{com}.                                         local sign_`var'_`x' = "\cellcolor[HTML]{c -(}C0C0C0{c )-}-"
{txt} 49{com}.                                         local est_`var'_`x' = "`est_`var'_`x''**"
{txt} 50{com}.                                         {c )-}
{txt} 51{com}.                                         
.                         if sign_`var'_m3s_`x' == 1 {c -(}    
{txt} 52{com}.                                         local sign_`var'_`x' = "\cellcolor[HTML]{c -(}9B9B9B{c )-}-"
{txt} 53{com}.                                         local est_`var'_`x' = "`est_`var'_`x''***"
{txt} 54{com}.                                         {c )-}
{txt} 55{com}.                                 
.                         if sign_`var'_zero_`x' == 1 {c -(}
{txt} 56{com}.                                 local sign_`var'_`x' = "0"
{txt} 57{com}.                                 {c )-}
{txt} 58{com}.                                 
.                         {c )-}
{txt} 59{com}.                         
.                 gen sign_commtg_zero_`x' = (`p_commtg_`x''>0.1)
{txt} 60{com}.                 gen sign_commtg_p1s_`x' = (`p_commtg_`x''<=0.1 & `p_commtg_`x''>0.05 & `est_commtg_`x''>0)
{txt} 61{com}.                 gen sign_commtg_p2s_`x' = (`p_commtg_`x''<=0.05 & `p_commtg_`x''>0.01 & `est_commtg_`x''>0)
{txt} 62{com}.                 gen sign_commtg_p3s_`x' = (`p_commtg_`x''<=0.01 & `p_commtg_`x''>=0 & `est_commtg_`x''>0)
{txt} 63{com}.                 gen sign_commtg_m1s_`x' = (`p_commtg_`x''<=0.1 & `p_commtg_`x''>0.05 & `est_commtg_`x''<0)
{txt} 64{com}.                 gen sign_commtg_m2s_`x' = (`p_commtg_`x''<=0.05 & `p_commtg_`x''>0.01 & `est_commtg_`x''<0)
{txt} 65{com}.                 gen sign_commtg_m3s_`x' = (`p_commtg_`x''<=0.01 & `p_commtg_`x''>=0 & `est_commtg_`x''<0)
{txt} 66{com}.                 
.                 local p_commtg_`x' = string(`p_commtg_`x'',"%9.3fc")
{txt} 67{com}.                 local est_commtg_`x' = string(`est_commtg_`x'',"%9.3fc")
{txt} 68{com}.                 local se_commtg_`x' = string(`se_commtg_`x'',"%9.3fc")
{txt} 69{com}.                 
.                 if sign_commtg_p1s_`x' == 1 {c -(}
{txt} 70{com}.                                 local sign_commtg_`x' = "\cellcolor[HTML]{c -(}EFEFEF{c )-}+"
{txt} 71{com}.                                 local est_commtg_`x' = "`est_commtg_`x''*"
{txt} 72{com}.                                 {c )-}
{txt} 73{com}.                                 
.                 if sign_commtg_p2s_`x' == 1 {c -(}   
{txt} 74{com}.                                 local sign_commtg_`x' = "\cellcolor[HTML]{c -(}C0C0C0{c )-}+"
{txt} 75{com}.                                 local est_commtg_`x' = "`est_commtg_`x''**"
{txt} 76{com}.                                 {c )-}
{txt} 77{com}.                                 
.                 if sign_commtg_p3s_`x' == 1 {c -(}   
{txt} 78{com}.                                 local sign_commtg_`x' = "\cellcolor[HTML]{c -(}9B9B9B{c )-}+"
{txt} 79{com}.                                 local est_commtg_`x' = "`est_commtg_`x''***"
{txt} 80{com}.                                 {c )-}
{txt} 81{com}.                         
.                 if sign_commtg_m1s_`x' == 1 {c -(}
{txt} 82{com}.                                 local sign_commtg_`x' = "\cellcolor[HTML]{c -(}EFEFEF{c )-}-"
{txt} 83{com}.                                 local est_commtg_`x' = "`est_commtg_`x''*"
{txt} 84{com}.                                 {c )-}
{txt} 85{com}.                                 
.                 if sign_commtg_m2s_`x' == 1 {c -(}   
{txt} 86{com}.                                 local sign_commtg_`x' = "\cellcolor[HTML]{c -(}C0C0C0{c )-}-"
{txt} 87{com}.                                 local est_commtg_`x' = "`est_commtg_`x''**"
{txt} 88{com}.                                 {c )-}
{txt} 89{com}.                                 
.                 if sign_commtg_m3s_`x' == 1 {c -(}   
{txt} 90{com}.                                 local sign_commtg_`x' = "\cellcolor[HTML]{c -(}9B9B9B{c )-}-"
{txt} 91{com}.                                 local est_commtg_`x' = "`est_commtg_`x''***"
{txt} 92{com}.                                 {c )-}
{txt} 93{com}.                         
.                 if sign_commtg_zero_`x' == 1 {c -(}
{txt} 94{com}.                         local sign_commtg_`x' = "0"
{txt} 95{com}.                         {c )-}
{txt} 96{com}.                 
.                 drop sign_*
{txt} 97{com}.                 
.                 {c )-}
{txt}note: b_urate_z_d omitted because of collinearity
{res}
{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}     7,288
{txt}{col 49}F({res}  16{txt},{res}    186{txt}){col 67}= {res}     51.98
{txt}{col 49}Prob > F{col 67}= {res}    0.0000
{txt}{col 49}R-squared{col 67}= {res}    0.2315
{txt}{col 49}Adj R-squared{col 67}= {res}    0.2282
{txt}{col 49}Root MSE{col 67}= {res}    0.6609

{txt}{ralign 78:(Std. Err. adjusted for {res:187} clusters in hc_id)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}   e_urate_z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2} .0410552{col 26}{space 2} .0312021{col 37}{space 1}    1.32{col 46}{space 3}0.190{col 54}{space 4}-.0205002{col 67}{space 3} .1026106
{txt}treatfull_~g {c |}{col 14}{res}{space 2}-.0263691{col 26}{space 2} .0365391{col 37}{space 1}   -0.72{col 46}{space 3}0.471{col 54}{space 4}-.0984535{col 67}{space 3} .0457152
{txt}b_commtg~d_d {c |}{col 14}{res}{space 2} .0648466{col 26}{space 2} .0269165{col 37}{space 1}    2.41{col 46}{space 3}0.017{col 54}{space 4} .0117457{col 67}{space 3} .1179475
{txt}{space 3}b_urate_z {c |}{col 14}{res}{space 2} .3530418{col 26}{space 2} .0147094{col 37}{space 1}   24.00{col 46}{space 3}0.000{col 54}{space 4} .3240232{col 67}{space 3} .3820604
{txt}{space 1}b_urate_z_d {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 1}c_tfull_hc2 {c |}{col 14}{res}{space 2} .0155756{col 26}{space 2} .0415448{col 37}{space 1}    0.37{col 46}{space 3}0.708{col 54}{space 4} -.066384{col 67}{space 3} .0975351
{txt}c_tfull_b_~l {c |}{col 14}{res}{space 2} .0365858{col 26}{space 2} .0460437{col 37}{space 1}    0.79{col 46}{space 3}0.428{col 54}{space 4}-.0542492{col 67}{space 3} .1274208
{txt}c_tfull_b_~s {c |}{col 14}{res}{space 2} .0431624{col 26}{space 2} .0476901{col 37}{space 1}    0.91{col 46}{space 3}0.367{col 54}{space 4}-.0509206{col 67}{space 3} .1372455
{txt}c_tfull_b_~d {c |}{col 14}{res}{space 2} .1635454{col 26}{space 2} .0596032{col 37}{space 1}    2.74{col 46}{space 3}0.007{col 54}{space 4} .0459602{col 67}{space 3} .2811307
{txt}c_tfull_ed~r {c |}{col 14}{res}{space 2}-.0125445{col 26}{space 2} .0028702{col 37}{space 1}   -4.37{col 46}{space 3}0.000{col 54}{space 4}-.0182068{col 67}{space 3}-.0068821
{txt}c_tfull_b_~x {c |}{col 14}{res}{space 2}-.0371283{col 26}{space 2}  .012832{col 37}{space 1}   -2.89{col 46}{space 3}0.004{col 54}{space 4}-.0624432{col 67}{space 3}-.0118133
{txt}c_trea~l_hc2 {c |}{col 14}{res}{space 2}-.0116802{col 26}{space 2} .0508668{col 37}{space 1}   -0.23{col 46}{space 3}0.819{col 54}{space 4}-.1120301{col 67}{space 3} .0886698
{txt}c_treatful.. {c |}{col 14}{res}{space 2}-.0203986{col 26}{space 2} .0553188{col 37}{space 1}   -0.37{col 46}{space 3}0.713{col 54}{space 4}-.1295315{col 67}{space 3} .0887342
{txt}c_treatful.. {c |}{col 14}{res}{space 2}-.0333196{col 26}{space 2} .0691147{col 37}{space 1}   -0.48{col 46}{space 3}0.630{col 54}{space 4}-.1696691{col 67}{space 3} .1030299
{txt}c_treatful.. {c |}{col 14}{res}{space 2}-.0330025{col 26}{space 2} .0820903{col 37}{space 1}   -0.40{col 46}{space 3}0.688{col 54}{space 4}-.1949502{col 67}{space 3} .1289453
{txt}c_treatful.. {c |}{col 14}{res}{space 2} .0024958{col 26}{space 2} .0041772{col 37}{space 1}    0.60{col 46}{space 3}0.551{col 54}{space 4} -.005745{col 67}{space 3} .0107366
{txt}c_treatful.. {c |}{col 14}{res}{space 2}-.0136678{col 26}{space 2} .0188371{col 37}{space 1}   -0.73{col 46}{space 3}0.469{col 54}{space 4}-.0508296{col 67}{space 3} .0234941
{txt}{space 7}_cons {c |}{col 14}{res}{space 2}-.0547455{col 26}{space 2} .0231934{col 37}{space 1}   -2.36{col 46}{space 3}0.019{col 54}{space 4}-.1005015{col 67}{space 3}-.0089896
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull + treatfull_commtg = 0{p_end}

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}   e_urate_z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}(1) {c |}{col 14}{res}{space 2} .0146861{col 26}{space 2} .0254164{col 37}{space 1}    0.58{col 46}{space 3}0.564{col 54}{space 4}-.0354553{col 67}{space 3} .0648275
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull + treatfull_commtg = 0{p_end}

{txt}       F(  1,   186) ={res}    0.33
{txt}{col 13}Prob > F ={res}    0.5641
{txt}note: b_treatqual_z_d omitted because of collinearity
{res}
{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}     7,288
{txt}{col 49}F({res}  16{txt},{res}    186{txt}){col 67}= {res}      4.19
{txt}{col 49}Prob > F{col 67}= {res}    0.0000
{txt}{col 49}R-squared{col 67}= {res}    0.1055
{txt}{col 49}Adj R-squared{col 67}= {res}    0.1017
{txt}{col 49}Root MSE{col 67}= {res}    0.3508

{txt}{ralign 78:(Std. Err. adjusted for {res:187} clusters in hc_id)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}e_treatq~l_z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2} .1145438{col 26}{space 2} .0297059{col 37}{space 1}    3.86{col 46}{space 3}0.000{col 54}{space 4} .0559401{col 67}{space 3} .1731475
{txt}treatfull_~g {c |}{col 14}{res}{space 2}-.0825459{col 26}{space 2} .0338258{col 37}{space 1}   -2.44{col 46}{space 3}0.016{col 54}{space 4}-.1492775{col 67}{space 3}-.0158144
{txt}b_commtg~d_d {c |}{col 14}{res}{space 2} .0531038{col 26}{space 2}  .024357{col 37}{space 1}    2.18{col 46}{space 3}0.030{col 54}{space 4} .0050523{col 67}{space 3} .1011554
{txt}b_treatq~l_z {c |}{col 14}{res}{space 2} .1013128{col 26}{space 2} .0204754{col 37}{space 1}    4.95{col 46}{space 3}0.000{col 54}{space 4} .0609189{col 67}{space 3} .1417068
{txt}b_trea~l_z_d {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 1}c_tfull_hc2 {c |}{col 14}{res}{space 2}-.0789417{col 26}{space 2} .0524554{col 37}{space 1}   -1.50{col 46}{space 3}0.134{col 54}{space 4}-.1824256{col 67}{space 3} .0245423
{txt}c_tfull_b_~l {c |}{col 14}{res}{space 2}-.0138277{col 26}{space 2} .0579627{col 37}{space 1}   -0.24{col 46}{space 3}0.812{col 54}{space 4}-.1281765{col 67}{space 3}  .100521
{txt}c_tfull_b_~s {c |}{col 14}{res}{space 2} .0759522{col 26}{space 2} .0589653{col 37}{space 1}    1.29{col 46}{space 3}0.199{col 54}{space 4}-.0403746{col 67}{space 3}  .192279
{txt}c_tfull_b_~d {c |}{col 14}{res}{space 2} .0060949{col 26}{space 2} .0242042{col 37}{space 1}    0.25{col 46}{space 3}0.801{col 54}{space 4}-.0416551{col 67}{space 3} .0538449
{txt}c_tfull_ed~r {c |}{col 14}{res}{space 2}-.0028098{col 26}{space 2} .0015998{col 37}{space 1}   -1.76{col 46}{space 3}0.081{col 54}{space 4}-.0059659{col 67}{space 3} .0003463
{txt}c_tfull_b_~x {c |}{col 14}{res}{space 2}-.0010948{col 26}{space 2} .0081239{col 37}{space 1}   -0.13{col 46}{space 3}0.893{col 54}{space 4}-.0171217{col 67}{space 3}  .014932
{txt}c_trea~l_hc2 {c |}{col 14}{res}{space 2} .0695818{col 26}{space 2} .0656463{col 37}{space 1}    1.06{col 46}{space 3}0.291{col 54}{space 4}-.0599251{col 67}{space 3} .1990888
{txt}c_treatful.. {c |}{col 14}{res}{space 2} .0663529{col 26}{space 2} .0678893{col 37}{space 1}    0.98{col 46}{space 3}0.330{col 54}{space 4}-.0675792{col 67}{space 3}  .200285
{txt}c_treatful.. {c |}{col 14}{res}{space 2}-.1034431{col 26}{space 2} .0741266{col 37}{space 1}   -1.40{col 46}{space 3}0.165{col 54}{space 4}-.2496801{col 67}{space 3} .0427938
{txt}c_treatful.. {c |}{col 14}{res}{space 2} .0489509{col 26}{space 2} .0329016{col 37}{space 1}    1.49{col 46}{space 3}0.138{col 54}{space 4}-.0159574{col 67}{space 3} .1138592
{txt}c_treatful.. {c |}{col 14}{res}{space 2} .0022871{col 26}{space 2} .0022103{col 37}{space 1}    1.03{col 46}{space 3}0.302{col 54}{space 4}-.0020734{col 67}{space 3} .0066476
{txt}c_treatful.. {c |}{col 14}{res}{space 2}-.0201013{col 26}{space 2} .0127888{col 37}{space 1}   -1.57{col 46}{space 3}0.118{col 54}{space 4}-.0453311{col 67}{space 3} .0051286
{txt}{space 7}_cons {c |}{col 14}{res}{space 2}-.0283135{col 26}{space 2} .0216421{col 37}{space 1}   -1.31{col 46}{space 3}0.192{col 54}{space 4} -.071009{col 67}{space 3}  .014382
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull + treatfull_commtg = 0{p_end}

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}e_treatq~l_z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}(1) {c |}{col 14}{res}{space 2} .0319979{col 26}{space 2} .0317536{col 37}{space 1}    1.01{col 46}{space 3}0.315{col 54}{space 4}-.0306456{col 67}{space 3} .0946413
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull + treatfull_commtg = 0{p_end}

{txt}       F(  1,   186) ={res}    1.02
{txt}{col 13}Prob > F ={res}    0.3149
{txt}note: b_patsat_z_d omitted because of collinearity
{res}
{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}     7,288
{txt}{col 49}F({res}  16{txt},{res}    186{txt}){col 67}= {res}      8.55
{txt}{col 49}Prob > F{col 67}= {res}    0.0000
{txt}{col 49}R-squared{col 67}= {res}    0.0465
{txt}{col 49}Adj R-squared{col 67}= {res}    0.0424
{txt}{col 49}Root MSE{col 67}= {res}    0.5851

{txt}{ralign 78:(Std. Err. adjusted for {res:187} clusters in hc_id)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}  e_patsat_z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2} .0693365{col 26}{space 2} .0321039{col 37}{space 1}    2.16{col 46}{space 3}0.032{col 54}{space 4} .0060019{col 67}{space 3}  .132671
{txt}treatfull_~g {c |}{col 14}{res}{space 2} .0121683{col 26}{space 2} .0365176{col 37}{space 1}    0.33{col 46}{space 3}0.739{col 54}{space 4}-.0598737{col 67}{space 3} .0842102
{txt}b_commtg~d_d {c |}{col 14}{res}{space 2} .0715906{col 26}{space 2} .0287037{col 37}{space 1}    2.49{col 46}{space 3}0.013{col 54}{space 4} .0149639{col 67}{space 3} .1282173
{txt}{space 2}b_patsat_z {c |}{col 14}{res}{space 2} .1330314{col 26}{space 2} .0151268{col 37}{space 1}    8.79{col 46}{space 3}0.000{col 54}{space 4} .1031893{col 67}{space 3} .1628735
{txt}b_patsat_z_d {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 1}c_tfull_hc2 {c |}{col 14}{res}{space 2}-.0014966{col 26}{space 2} .0403628{col 37}{space 1}   -0.04{col 46}{space 3}0.970{col 54}{space 4}-.0811243{col 67}{space 3} .0781311
{txt}c_tfull_b_~l {c |}{col 14}{res}{space 2} .0989227{col 26}{space 2} .0514635{col 37}{space 1}    1.92{col 46}{space 3}0.056{col 54}{space 4}-.0026046{col 67}{space 3}   .20045
{txt}c_tfull_b_~s {c |}{col 14}{res}{space 2} .0043055{col 26}{space 2} .0635789{col 37}{space 1}    0.07{col 46}{space 3}0.946{col 54}{space 4} -.121123{col 67}{space 3}  .129734
{txt}c_tfull_b_~d {c |}{col 14}{res}{space 2}-.0002875{col 26}{space 2} .0414741{col 37}{space 1}   -0.01{col 46}{space 3}0.994{col 54}{space 4}-.0821076{col 67}{space 3} .0815326
{txt}c_tfull_ed~r {c |}{col 14}{res}{space 2} .0020381{col 26}{space 2}  .002821{col 37}{space 1}    0.72{col 46}{space 3}0.471{col 54}{space 4}-.0035271{col 67}{space 3} .0076033
{txt}c_tfull_b_~x {c |}{col 14}{res}{space 2} .0165077{col 26}{space 2} .0099659{col 37}{space 1}    1.66{col 46}{space 3}0.099{col 54}{space 4} -.003153{col 67}{space 3} .0361684
{txt}c_trea~l_hc2 {c |}{col 14}{res}{space 2}-.1095977{col 26}{space 2} .0535637{col 37}{space 1}   -2.05{col 46}{space 3}0.042{col 54}{space 4}-.2152683{col 67}{space 3}-.0039272
{txt}c_treatful.. {c |}{col 14}{res}{space 2}-.1538299{col 26}{space 2}  .062357{col 37}{space 1}   -2.47{col 46}{space 3}0.015{col 54}{space 4}-.2768478{col 67}{space 3}-.0308119
{txt}c_treatful.. {c |}{col 14}{res}{space 2} .0022161{col 26}{space 2} .0728215{col 37}{space 1}    0.03{col 46}{space 3}0.976{col 54}{space 4}-.1414463{col 67}{space 3} .1458784
{txt}c_treatful.. {c |}{col 14}{res}{space 2}-.0209833{col 26}{space 2} .0499755{col 37}{space 1}   -0.42{col 46}{space 3}0.675{col 54}{space 4}-.1195749{col 67}{space 3} .0776083
{txt}c_treatful.. {c |}{col 14}{res}{space 2} .0025437{col 26}{space 2} .0037151{col 37}{space 1}    0.68{col 46}{space 3}0.494{col 54}{space 4}-.0047855{col 67}{space 3} .0098729
{txt}c_treatful.. {c |}{col 14}{res}{space 2}-.0279065{col 26}{space 2} .0140338{col 37}{space 1}   -1.99{col 46}{space 3}0.048{col 54}{space 4}-.0555924{col 67}{space 3}-.0002206
{txt}{space 7}_cons {c |}{col 14}{res}{space 2}-.0404751{col 26}{space 2}  .024812{col 37}{space 1}   -1.63{col 46}{space 3}0.105{col 54}{space 4}-.0894241{col 67}{space 3}  .008474
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull + treatfull_commtg = 0{p_end}

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}  e_patsat_z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}(1) {c |}{col 14}{res}{space 2} .0815047{col 26}{space 2} .0272769{col 37}{space 1}    2.99{col 46}{space 3}0.003{col 54}{space 4} .0276928{col 67}{space 3} .1353166
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull + treatfull_commtg = 0{p_end}

{txt}       F(  1,   186) ={res}    8.93
{txt}{col 13}Prob > F ={res}    0.0032
{txt}note: b_commtg_z_d omitted because of collinearity
{res}
{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}     7,288
{txt}{col 49}F({res}  16{txt},{res}    186{txt}){col 67}= {res}      7.08
{txt}{col 49}Prob > F{col 67}= {res}    0.0000
{txt}{col 49}R-squared{col 67}= {res}    0.1001
{txt}{col 49}Adj R-squared{col 67}= {res}    0.0962
{txt}{col 49}Root MSE{col 67}= {res}    0.5579

{txt}{ralign 78:(Std. Err. adjusted for {res:187} clusters in hc_id)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}  e_commtg_z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2} .0240951{col 26}{space 2} .0369053{col 37}{space 1}    0.65{col 46}{space 3}0.515{col 54}{space 4}-.0487117{col 67}{space 3}  .096902
{txt}treatfull_~g {c |}{col 14}{res}{space 2}-.0303329{col 26}{space 2} .0443329{col 37}{space 1}   -0.68{col 46}{space 3}0.495{col 54}{space 4}-.1177929{col 67}{space 3} .0571271
{txt}b_commtg~d_d {c |}{col 14}{res}{space 2} .1157612{col 26}{space 2} .0435185{col 37}{space 1}    2.66{col 46}{space 3}0.008{col 54}{space 4}  .029908{col 67}{space 3} .2016145
{txt}{space 2}b_commtg_z {c |}{col 14}{res}{space 2} .0195825{col 26}{space 2} .0209814{col 37}{space 1}    0.93{col 46}{space 3}0.352{col 54}{space 4}-.0218097{col 67}{space 3} .0609747
{txt}b_commtg_z_d {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 1}c_tfull_hc2 {c |}{col 14}{res}{space 2} .1019625{col 26}{space 2} .0461847{col 37}{space 1}    2.21{col 46}{space 3}0.028{col 54}{space 4} .0108494{col 67}{space 3} .1930757
{txt}c_tfull_b_~l {c |}{col 14}{res}{space 2} .0564261{col 26}{space 2} .0664209{col 37}{space 1}    0.85{col 46}{space 3}0.397{col 54}{space 4}-.0746091{col 67}{space 3} .1874613
{txt}c_tfull_b_~s {c |}{col 14}{res}{space 2}-.0148354{col 26}{space 2} .0780486{col 37}{space 1}   -0.19{col 46}{space 3}0.849{col 54}{space 4}-.1688097{col 67}{space 3} .1391389
{txt}c_tfull_b_~d {c |}{col 14}{res}{space 2} .0372528{col 26}{space 2} .0452948{col 37}{space 1}    0.82{col 46}{space 3}0.412{col 54}{space 4}-.0521047{col 67}{space 3} .1266104
{txt}c_tfull_ed~r {c |}{col 14}{res}{space 2} .0042075{col 26}{space 2} .0023793{col 37}{space 1}    1.77{col 46}{space 3}0.079{col 54}{space 4}-.0004865{col 67}{space 3} .0089015
{txt}c_tfull_b_~x {c |}{col 14}{res}{space 2} .0305178{col 26}{space 2} .0112143{col 37}{space 1}    2.72{col 46}{space 3}0.007{col 54}{space 4} .0083942{col 67}{space 3} .0526414
{txt}c_trea~l_hc2 {c |}{col 14}{res}{space 2} .0277076{col 26}{space 2}  .058871{col 37}{space 1}    0.47{col 46}{space 3}0.638{col 54}{space 4}-.0884331{col 67}{space 3} .1438483
{txt}c_treatful.. {c |}{col 14}{res}{space 2} .0578362{col 26}{space 2} .0760455{col 37}{space 1}    0.76{col 46}{space 3}0.448{col 54}{space 4}-.0921863{col 67}{space 3} .2078587
{txt}c_treatful.. {c |}{col 14}{res}{space 2} .0264375{col 26}{space 2} .0805034{col 37}{space 1}    0.33{col 46}{space 3}0.743{col 54}{space 4}-.1323797{col 67}{space 3} .1852546
{txt}c_treatful.. {c |}{col 14}{res}{space 2} .1031843{col 26}{space 2} .0626858{col 37}{space 1}    1.65{col 46}{space 3}0.101{col 54}{space 4}-.0204822{col 67}{space 3} .2268508
{txt}c_treatful.. {c |}{col 14}{res}{space 2} .0005741{col 26}{space 2} .0034142{col 37}{space 1}    0.17{col 46}{space 3}0.867{col 54}{space 4}-.0061615{col 67}{space 3} .0073096
{txt}c_treatful.. {c |}{col 14}{res}{space 2}-.0030328{col 26}{space 2} .0173323{col 37}{space 1}   -0.17{col 46}{space 3}0.861{col 54}{space 4} -.037226{col 67}{space 3} .0311603
{txt}{space 7}_cons {c |}{col 14}{res}{space 2}-.0586856{col 26}{space 2} .0289974{col 37}{space 1}   -2.02{col 46}{space 3}0.044{col 54}{space 4}-.1158917{col 67}{space 3}-.0014795
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull + treatfull_commtg = 0{p_end}

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}  e_commtg_z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}(1) {c |}{col 14}{res}{space 2}-.0062378{col 26}{space 2} .0335945{col 37}{space 1}   -0.19{col 46}{space 3}0.853{col 54}{space 4}-.0725129{col 67}{space 3} .0600374
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull + treatfull_commtg = 0{p_end}

{txt}       F(  1,   186) ={res}    0.03
{txt}{col 13}Prob > F ={res}    0.8529
{txt}
{com}.                 
.         * Subgroup Effects: Efficacy
.         
.         * We regress the results
.         
.         foreach x in `indices' {c -(}
{txt}  2{com}.         
.                 areg e_`x' treatfull treatfull_eff b_eff_z_med_d b_`x' b_`x'_d `e_controls_tfull' `treatfull_int_e_controls', robust cl(hc_id) a(district)
{txt}  3{com}.                 eststo e_`x'_eff
{txt}  4{com}.                 local n_eff_`x' = string(e(N),"%9.0fc")
{txt}  5{com}.                 local r2_eff_`x' = string(e(r2),"%9.3fc")
{txt}  6{com}.                 
.                 lincom treatfull + treatfull_eff
{txt}  7{com}.                 local est_eff_`x' = r(estimate)
{txt}  8{com}.                 local se_eff_`x' = r(se)
{txt}  9{com}.                 test treatfull + treatfull_eff = 0
{txt} 10{com}.                 local p_eff_`x' = r(p)
{txt} 11{com}.                 
.                 local est_beff_`x' = string(_b[treatfull],"%9.3fc")
{txt} 12{com}.                 local se_beff_`x' = string(_se[treatfull],"%9.3fc")
{txt} 13{com}.                 local p_beff_`x' = (2 * ttail(e(df_r), abs(_b[treatfull]/_se[treatfull])))
{txt} 14{com}.                 
.                 local est_tmxeff_`x' = string(_b[treatfull_eff],"%9.3fc")
{txt} 15{com}.                 local se_tmxeff_`x' = string(_se[treatfull_eff],"%9.3fc")
{txt} 16{com}.                 local p_tmxeff_`x' = (2 * ttail(e(df_r), abs(_b[treatfull_eff]/_se[treatfull_eff])))
{txt} 17{com}.                 
.                 local est_smeff_`x' = string(_b[b_eff_z_med_d],"%9.3fc")
{txt} 18{com}.                 local se_smeff_`x' = string(_se[b_eff_z_med_d],"%9.3fc")
{txt} 19{com}.                 local p_smeff_`x' = (2 * ttail(e(df_r), abs(_b[b_eff_z_med_d]/_se[b_eff_z_med_d])))
{txt} 20{com}.                 
.                 local est_ceff_`x' = string(_b[_cons],"%9.3fc")
{txt} 21{com}.                 local se_ceff_`x' = string(_se[_cons],"%9.3fc")
{txt} 22{com}.                 local p_ceff_`x' = (2 * ttail(e(df_r), abs(_b[_cons]/_se[_cons])))
{txt} 23{com}.                 
.                 foreach var in beff tmxeff smeff ceff {c -(}
{txt} 24{com}.                 
.                         gen sign_`var'_zero_`x' = (`p_`var'_`x''>0.1)
{txt} 25{com}.                         gen sign_`var'_p1s_`x' = (`p_`var'_`x''<=0.1 & `p_`var'_`x''>0.05 & `est_`var'_`x''>0)
{txt} 26{com}.                         gen sign_`var'_p2s_`x' = (`p_`var'_`x''<=0.05 & `p_`var'_`x''>0.01 & `est_`var'_`x''>0)
{txt} 27{com}.                         gen sign_`var'_p3s_`x' = (`p_`var'_`x''<=0.01 & `p_`var'_`x''>=0 & `est_`var'_`x''>0)
{txt} 28{com}.                         gen sign_`var'_m1s_`x' = (`p_`var'_`x''<=0.1 & `p_`var'_`x''>0.05 & `est_`var'_`x''<0)
{txt} 29{com}.                         gen sign_`var'_m2s_`x' = (`p_`var'_`x''<=0.05 & `p_`var'_`x''>0.01 & `est_`var'_`x''<0)
{txt} 30{com}.                         gen sign_`var'_m3s_`x' = (`p_`var'_`x''<=0.01 & `p_`var'_`x''>=0 & `est_`var'_`x''<0)
{txt} 31{com}.                         
.                         if sign_`var'_p1s_`x' == 1 {c -(}
{txt} 32{com}.                                         local sign_`var'_`x' = "\cellcolor[HTML]{c -(}EFEFEF{c )-}+"
{txt} 33{com}.                                         local est_`var'_`x' = "`est_`var'_`x''*"
{txt} 34{com}.                                         {c )-}
{txt} 35{com}.                                         
.                         if sign_`var'_p2s_`x' == 1 {c -(}    
{txt} 36{com}.                                         local sign_`var'_`x' = "\cellcolor[HTML]{c -(}C0C0C0{c )-}+"
{txt} 37{com}.                                         local est_`var'_`x' = "`est_`var'_`x''**"
{txt} 38{com}.                                         {c )-}
{txt} 39{com}.                                         
.                         if sign_`var'_p3s_`x' == 1 {c -(}    
{txt} 40{com}.                                         local sign_`var'_`x' = "\cellcolor[HTML]{c -(}9B9B9B{c )-}+"
{txt} 41{com}.                                         local est_`var'_`x' = "`est_`var'_`x''***"
{txt} 42{com}.                                         {c )-}
{txt} 43{com}.                                 
.                         if sign_`var'_m1s_`x' == 1 {c -(}
{txt} 44{com}.                                         local sign_`var'_`x' = "\cellcolor[HTML]{c -(}EFEFEF{c )-}-"
{txt} 45{com}.                                         local est_`var'_`x' = "`est_`var'_`x''*"
{txt} 46{com}.                                         {c )-}
{txt} 47{com}.                                         
.                         if sign_`var'_m2s_`x' == 1 {c -(}    
{txt} 48{com}.                                         local sign_`var'_`x' = "\cellcolor[HTML]{c -(}C0C0C0{c )-}-"
{txt} 49{com}.                                         local est_`var'_`x' = "`est_`var'_`x''**"
{txt} 50{com}.                                         {c )-}
{txt} 51{com}.                                         
.                         if sign_`var'_m3s_`x' == 1 {c -(}    
{txt} 52{com}.                                         local sign_`var'_`x' = "\cellcolor[HTML]{c -(}9B9B9B{c )-}-"
{txt} 53{com}.                                         local est_`var'_`x' = "`est_`var'_`x''***"
{txt} 54{com}.                                         {c )-}
{txt} 55{com}.                                 
.                         if sign_`var'_zero_`x' == 1 {c -(}
{txt} 56{com}.                                 local sign_`var'_`x' = "0"
{txt} 57{com}.                                 {c )-}
{txt} 58{com}.                                 
.                         {c )-}
{txt} 59{com}.                         
.                 gen sign_eff_zero_`x' = (`p_eff_`x''>0.1)
{txt} 60{com}.                 gen sign_eff_p1s_`x' = (`p_eff_`x''<=0.1 & `p_eff_`x''>0.05 & `est_eff_`x''>0)
{txt} 61{com}.                 gen sign_eff_p2s_`x' = (`p_eff_`x''<=0.05 & `p_eff_`x''>0.01 & `est_eff_`x''>0)
{txt} 62{com}.                 gen sign_eff_p3s_`x' = (`p_eff_`x''<=0.01 & `p_eff_`x''>=0 & `est_eff_`x''>0)
{txt} 63{com}.                 gen sign_eff_m1s_`x' = (`p_eff_`x''<=0.1 & `p_eff_`x''>0.05 & `est_eff_`x''<0)
{txt} 64{com}.                 gen sign_eff_m2s_`x' = (`p_eff_`x''<=0.05 & `p_eff_`x''>0.01 & `est_eff_`x''<0)
{txt} 65{com}.                 gen sign_eff_m3s_`x' = (`p_eff_`x''<=0.01 & `p_eff_`x''>=0 & `est_eff_`x''<0)
{txt} 66{com}.                 
.                 local p_eff_`x' = string(`p_eff_`x'',"%9.3fc")
{txt} 67{com}.                 local est_eff_`x' = string(`est_eff_`x'',"%9.3fc")
{txt} 68{com}.                 local se_eff_`x' = string(`se_eff_`x'',"%9.3fc")
{txt} 69{com}.                 
.                 if sign_eff_p1s_`x' == 1 {c -(}
{txt} 70{com}.                                 local sign_eff_`x' = "\cellcolor[HTML]{c -(}EFEFEF{c )-}+"
{txt} 71{com}.                                 local est_eff_`x' = "`est_eff_`x''*"
{txt} 72{com}.                                 {c )-}
{txt} 73{com}.                                 
.                 if sign_eff_p2s_`x' == 1 {c -(}      
{txt} 74{com}.                                 local sign_eff_`x' = "\cellcolor[HTML]{c -(}C0C0C0{c )-}+"
{txt} 75{com}.                                 local est_eff_`x' = "`est_eff_`x''**"
{txt} 76{com}.                                 {c )-}
{txt} 77{com}.                                 
.                 if sign_eff_p3s_`x' == 1 {c -(}      
{txt} 78{com}.                                 local sign_eff_`x' = "\cellcolor[HTML]{c -(}9B9B9B{c )-}+"
{txt} 79{com}.                                 local est_eff_`x' = "`est_eff_`x''***"
{txt} 80{com}.                                 {c )-}
{txt} 81{com}.                         
.                 if sign_eff_m1s_`x' == 1 {c -(}
{txt} 82{com}.                                 local sign_eff_`x' = "\cellcolor[HTML]{c -(}EFEFEF{c )-}-"
{txt} 83{com}.                                 local est_eff_`x' = "`est_eff_`x''*"
{txt} 84{com}.                                 {c )-}
{txt} 85{com}.                                 
.                 if sign_eff_m2s_`x' == 1 {c -(}      
{txt} 86{com}.                                 local sign_eff_`x' = "\cellcolor[HTML]{c -(}C0C0C0{c )-}-"
{txt} 87{com}.                                 local est_eff_`x' = "`est_eff_`x''**"
{txt} 88{com}.                                 {c )-}
{txt} 89{com}.                                 
.                 if sign_eff_m3s_`x' == 1 {c -(}      
{txt} 90{com}.                                 local sign_eff_`x' = "\cellcolor[HTML]{c -(}9B9B9B{c )-}-"
{txt} 91{com}.                                 local est_eff_`x' = "`est_eff_`x''***"
{txt} 92{com}.                                 {c )-}
{txt} 93{com}.                         
.                 if sign_eff_zero_`x' == 1 {c -(}
{txt} 94{com}.                         local sign_eff_`x' = "0"
{txt} 95{com}.                         {c )-}
{txt} 96{com}.                 
.                 drop sign_*
{txt} 97{com}.                 
.                 {c )-}
{txt}note: b_urate_z_d omitted because of collinearity
{res}
{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}     7,288
{txt}{col 49}F({res}  16{txt},{res}    186{txt}){col 67}= {res}     51.37
{txt}{col 49}Prob > F{col 67}= {res}    0.0000
{txt}{col 49}R-squared{col 67}= {res}    0.2309
{txt}{col 49}Adj R-squared{col 67}= {res}    0.2276
{txt}{col 49}Root MSE{col 67}= {res}    0.6612

{txt}{ralign 78:(Std. Err. adjusted for {res:187} clusters in hc_id)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}   e_urate_z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2}   .00324{col 26}{space 2} .0282029{col 37}{space 1}    0.11{col 46}{space 3}0.909{col 54}{space 4}-.0523986{col 67}{space 3} .0588786
{txt}treatfull_~f {c |}{col 14}{res}{space 2} .0529904{col 26}{space 2} .0318374{col 37}{space 1}    1.66{col 46}{space 3}0.098{col 54}{space 4}-.0098184{col 67}{space 3} .1157992
{txt}b_eff_z_me~d {c |}{col 14}{res}{space 2}-.0017857{col 26}{space 2} .0225227{col 37}{space 1}   -0.08{col 46}{space 3}0.937{col 54}{space 4}-.0462185{col 67}{space 3} .0426471
{txt}{space 3}b_urate_z {c |}{col 14}{res}{space 2} .3536566{col 26}{space 2} .0145838{col 37}{space 1}   24.25{col 46}{space 3}0.000{col 54}{space 4} .3248857{col 67}{space 3} .3824274
{txt}{space 1}b_urate_z_d {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 1}c_tfull_hc2 {c |}{col 14}{res}{space 2} .0271548{col 26}{space 2}  .042401{col 37}{space 1}    0.64{col 46}{space 3}0.523{col 54}{space 4}-.0564939{col 67}{space 3} .1108035
{txt}c_tfull_b_~l {c |}{col 14}{res}{space 2} .0344131{col 26}{space 2}  .047566{col 37}{space 1}    0.72{col 46}{space 3}0.470{col 54}{space 4}-.0594252{col 67}{space 3} .1282513
{txt}c_tfull_b_~s {c |}{col 14}{res}{space 2} .0475822{col 26}{space 2} .0494763{col 37}{space 1}    0.96{col 46}{space 3}0.337{col 54}{space 4}-.0500247{col 67}{space 3} .1451891
{txt}c_tfull_b_~d {c |}{col 14}{res}{space 2}  .165291{col 26}{space 2} .0583481{col 37}{space 1}    2.83{col 46}{space 3}0.005{col 54}{space 4} .0501818{col 67}{space 3} .2804002
{txt}c_tfull_ed~r {c |}{col 14}{res}{space 2}-.0127015{col 26}{space 2} .0028962{col 37}{space 1}   -4.39{col 46}{space 3}0.000{col 54}{space 4}-.0184151{col 67}{space 3}-.0069878
{txt}c_tfull_b_~x {c |}{col 14}{res}{space 2}-.0391323{col 26}{space 2} .0130816{col 37}{space 1}   -2.99{col 46}{space 3}0.003{col 54}{space 4}-.0649396{col 67}{space 3}-.0133249
{txt}c_trea~l_hc2 {c |}{col 14}{res}{space 2}-.0199563{col 26}{space 2} .0518601{col 37}{space 1}   -0.38{col 46}{space 3}0.701{col 54}{space 4}-.1222659{col 67}{space 3} .0823533
{txt}c_treatful.. {c |}{col 14}{res}{space 2}-.0201871{col 26}{space 2} .0564571{col 37}{space 1}   -0.36{col 46}{space 3}0.721{col 54}{space 4}-.1315657{col 67}{space 3} .0911915
{txt}c_treatful.. {c |}{col 14}{res}{space 2}-.0306585{col 26}{space 2} .0701478{col 37}{space 1}   -0.44{col 46}{space 3}0.663{col 54}{space 4}-.1690461{col 67}{space 3}  .107729
{txt}c_treatful.. {c |}{col 14}{res}{space 2}-.0300846{col 26}{space 2} .0803941{col 37}{space 1}   -0.37{col 46}{space 3}0.709{col 54}{space 4} -.188686{col 67}{space 3} .1285168
{txt}c_treatful.. {c |}{col 14}{res}{space 2} .0021336{col 26}{space 2} .0041855{col 37}{space 1}    0.51{col 46}{space 3}0.611{col 54}{space 4}-.0061236{col 67}{space 3} .0103908
{txt}c_treatful.. {c |}{col 14}{res}{space 2}-.0138774{col 26}{space 2} .0189639{col 37}{space 1}   -0.73{col 46}{space 3}0.465{col 54}{space 4}-.0512893{col 67}{space 3} .0235345
{txt}{space 7}_cons {c |}{col 14}{res}{space 2}-.0187361{col 26}{space 2} .0202075{col 37}{space 1}   -0.93{col 46}{space 3}0.355{col 54}{space 4}-.0586014{col 67}{space 3} .0211292
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull + treatfull_eff = 0{p_end}

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}   e_urate_z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}(1) {c |}{col 14}{res}{space 2} .0562304{col 26}{space 2} .0254962{col 37}{space 1}    2.21{col 46}{space 3}0.029{col 54}{space 4} .0059315{col 67}{space 3} .1065293
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull + treatfull_eff = 0{p_end}

{txt}       F(  1,   186) ={res}    4.86
{txt}{col 13}Prob > F ={res}    0.0286
{txt}note: b_treatqual_z_d omitted because of collinearity
{res}
{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}     7,288
{txt}{col 49}F({res}  16{txt},{res}    186{txt}){col 67}= {res}      3.99
{txt}{col 49}Prob > F{col 67}= {res}    0.0000
{txt}{col 49}R-squared{col 67}= {res}    0.1025
{txt}{col 49}Adj R-squared{col 67}= {res}    0.0986
{txt}{col 49}Root MSE{col 67}= {res}    0.3514

{txt}{ralign 78:(Std. Err. adjusted for {res:187} clusters in hc_id)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}e_treatq~l_z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2}  .076167{col 26}{space 2} .0278717{col 37}{space 1}    2.73{col 46}{space 3}0.007{col 54}{space 4} .0211817{col 67}{space 3} .1311522
{txt}treatfull_~f {c |}{col 14}{res}{space 2}-.0131517{col 26}{space 2} .0203151{col 37}{space 1}   -0.65{col 46}{space 3}0.518{col 54}{space 4}-.0532294{col 67}{space 3}  .026926
{txt}b_eff_z_me~d {c |}{col 14}{res}{space 2} .0117423{col 26}{space 2} .0145496{col 37}{space 1}    0.81{col 46}{space 3}0.421{col 54}{space 4}-.0169611{col 67}{space 3} .0404458
{txt}b_treatq~l_z {c |}{col 14}{res}{space 2} .1020786{col 26}{space 2} .0204047{col 37}{space 1}    5.00{col 46}{space 3}0.000{col 54}{space 4} .0618243{col 67}{space 3} .1423329
{txt}b_trea~l_z_d {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 1}c_tfull_hc2 {c |}{col 14}{res}{space 2}-.0717141{col 26}{space 2} .0530808{col 37}{space 1}   -1.35{col 46}{space 3}0.178{col 54}{space 4} -.176432{col 67}{space 3} .0330038
{txt}c_tfull_b_~l {c |}{col 14}{res}{space 2}-.0173248{col 26}{space 2} .0573786{col 37}{space 1}   -0.30{col 46}{space 3}0.763{col 54}{space 4}-.1305212{col 67}{space 3} .0958717
{txt}c_tfull_b_~s {c |}{col 14}{res}{space 2} .0763168{col 26}{space 2} .0575802{col 37}{space 1}    1.33{col 46}{space 3}0.187{col 54}{space 4}-.0372774{col 67}{space 3}  .189911
{txt}c_tfull_b_~d {c |}{col 14}{res}{space 2} .0084409{col 26}{space 2} .0237475{col 37}{space 1}    0.36{col 46}{space 3}0.723{col 54}{space 4}-.0384082{col 67}{space 3}   .05529
{txt}c_tfull_ed~r {c |}{col 14}{res}{space 2}-.0031257{col 26}{space 2} .0015941{col 37}{space 1}   -1.96{col 46}{space 3}0.051{col 54}{space 4}-.0062706{col 67}{space 3} .0000191
{txt}c_tfull_b_~x {c |}{col 14}{res}{space 2}-.0033876{col 26}{space 2} .0083098{col 37}{space 1}   -0.41{col 46}{space 3}0.684{col 54}{space 4}-.0197812{col 67}{space 3}  .013006
{txt}c_trea~l_hc2 {c |}{col 14}{res}{space 2} .0624546{col 26}{space 2} .0665099{col 37}{space 1}    0.94{col 46}{space 3}0.349{col 54}{space 4}-.0687561{col 67}{space 3} .1936654
{txt}c_treatful.. {c |}{col 14}{res}{space 2} .0740938{col 26}{space 2} .0674531{col 37}{space 1}    1.10{col 46}{space 3}0.273{col 54}{space 4}-.0589776{col 67}{space 3} .2071653
{txt}c_treatful.. {c |}{col 14}{res}{space 2}-.1059215{col 26}{space 2} .0729389{col 37}{space 1}   -1.45{col 46}{space 3}0.148{col 54}{space 4}-.2498153{col 67}{space 3} .0379723
{txt}c_treatful.. {c |}{col 14}{res}{space 2}  .045326{col 26}{space 2} .0329932{col 37}{space 1}    1.37{col 46}{space 3}0.171{col 54}{space 4} -.019763{col 67}{space 3}  .110415
{txt}c_treatful.. {c |}{col 14}{res}{space 2} .0026811{col 26}{space 2} .0022168{col 37}{space 1}    1.21{col 46}{space 3}0.228{col 54}{space 4}-.0016921{col 67}{space 3} .0070544
{txt}c_treatful.. {c |}{col 14}{res}{space 2}-.0175844{col 26}{space 2} .0130329{col 37}{space 1}   -1.35{col 46}{space 3}0.179{col 54}{space 4}-.0432958{col 67}{space 3}  .008127
{txt}{space 7}_cons {c |}{col 14}{res}{space 2}-.0054326{col 26}{space 2} .0211553{col 37}{space 1}   -0.26{col 46}{space 3}0.798{col 54}{space 4}-.0471678{col 67}{space 3} .0363027
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull + treatfull_eff = 0{p_end}

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}e_treatq~l_z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}(1) {c |}{col 14}{res}{space 2} .0630153{col 26}{space 2} .0279997{col 37}{space 1}    2.25{col 46}{space 3}0.026{col 54}{space 4} .0077775{col 67}{space 3} .1182531
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull + treatfull_eff = 0{p_end}

{txt}       F(  1,   186) ={res}    5.07
{txt}{col 13}Prob > F ={res}    0.0256
{txt}note: b_patsat_z_d omitted because of collinearity
{res}
{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}     7,288
{txt}{col 49}F({res}  16{txt},{res}    186{txt}){col 67}= {res}      8.37
{txt}{col 49}Prob > F{col 67}= {res}    0.0000
{txt}{col 49}R-squared{col 67}= {res}    0.0447
{txt}{col 49}Adj R-squared{col 67}= {res}    0.0407
{txt}{col 49}Root MSE{col 67}= {res}    0.5856

{txt}{ralign 78:(Std. Err. adjusted for {res:187} clusters in hc_id)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}  e_patsat_z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2} .0618997{col 26}{space 2}  .027575{col 37}{space 1}    2.24{col 46}{space 3}0.026{col 54}{space 4} .0074998{col 67}{space 3} .1162996
{txt}treatfull_~f {c |}{col 14}{res}{space 2} .0359192{col 26}{space 2} .0299246{col 37}{space 1}    1.20{col 46}{space 3}0.232{col 54}{space 4}-.0231161{col 67}{space 3} .0949544
{txt}b_eff_z_me~d {c |}{col 14}{res}{space 2} .0368368{col 26}{space 2} .0218441{col 37}{space 1}    1.69{col 46}{space 3}0.093{col 54}{space 4}-.0062573{col 67}{space 3} .0799309
{txt}{space 2}b_patsat_z {c |}{col 14}{res}{space 2} .1355999{col 26}{space 2} .0149879{col 37}{space 1}    9.05{col 46}{space 3}0.000{col 54}{space 4} .1060319{col 67}{space 3}  .165168
{txt}b_patsat_z_d {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 1}c_tfull_hc2 {c |}{col 14}{res}{space 2} .0106391{col 26}{space 2} .0398118{col 37}{space 1}    0.27{col 46}{space 3}0.790{col 54}{space 4}-.0679016{col 67}{space 3} .0891798
{txt}c_tfull_b_~l {c |}{col 14}{res}{space 2} .0990678{col 26}{space 2} .0514597{col 37}{space 1}    1.93{col 46}{space 3}0.056{col 54}{space 4}-.0024518{col 67}{space 3} .2005875
{txt}c_tfull_b_~s {c |}{col 14}{res}{space 2} .0063933{col 26}{space 2} .0642989{col 37}{space 1}    0.10{col 46}{space 3}0.921{col 54}{space 4}-.1204555{col 67}{space 3} .1332421
{txt}c_tfull_b_~d {c |}{col 14}{res}{space 2}  .005839{col 26}{space 2} .0428647{col 37}{space 1}    0.14{col 46}{space 3}0.892{col 54}{space 4}-.0787244{col 67}{space 3} .0904024
{txt}c_tfull_ed~r {c |}{col 14}{res}{space 2} .0015426{col 26}{space 2} .0028444{col 37}{space 1}    0.54{col 46}{space 3}0.588{col 54}{space 4}-.0040689{col 67}{space 3} .0071541
{txt}c_tfull_b_~x {c |}{col 14}{res}{space 2} .0126186{col 26}{space 2} .0098689{col 37}{space 1}    1.28{col 46}{space 3}0.203{col 54}{space 4}-.0068508{col 67}{space 3}  .032088
{txt}c_trea~l_hc2 {c |}{col 14}{res}{space 2}-.1175007{col 26}{space 2} .0539957{col 37}{space 1}   -2.18{col 46}{space 3}0.031{col 54}{space 4}-.2240234{col 67}{space 3}-.0109781
{txt}c_treatful.. {c |}{col 14}{res}{space 2}-.1616465{col 26}{space 2} .0633336{col 37}{space 1}   -2.55{col 46}{space 3}0.012{col 54}{space 4}-.2865911{col 67}{space 3}-.0367019
{txt}c_treatful.. {c |}{col 14}{res}{space 2} .0125157{col 26}{space 2} .0739682{col 37}{space 1}    0.17{col 46}{space 3}0.866{col 54}{space 4}-.1334089{col 67}{space 3} .1584402
{txt}c_treatful.. {c |}{col 14}{res}{space 2}-.0184108{col 26}{space 2} .0513407{col 37}{space 1}   -0.36{col 46}{space 3}0.720{col 54}{space 4}-.1196958{col 67}{space 3} .0828741
{txt}c_treatful.. {c |}{col 14}{res}{space 2} .0022511{col 26}{space 2} .0037263{col 37}{space 1}    0.60{col 46}{space 3}0.547{col 54}{space 4}-.0051002{col 67}{space 3} .0096024
{txt}c_treatful.. {c |}{col 14}{res}{space 2}-.0273755{col 26}{space 2} .0143772{col 37}{space 1}   -1.90{col 46}{space 3}0.058{col 54}{space 4}-.0557387{col 67}{space 3} .0009877
{txt}{space 7}_cons {c |}{col 14}{res}{space 2}-.0197427{col 26}{space 2} .0195059{col 37}{space 1}   -1.01{col 46}{space 3}0.313{col 54}{space 4}-.0582239{col 67}{space 3} .0187384
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull + treatfull_eff = 0{p_end}

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}  e_patsat_z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}(1) {c |}{col 14}{res}{space 2} .0978189{col 26}{space 2} .0277705{col 37}{space 1}    3.52{col 46}{space 3}0.001{col 54}{space 4} .0430332{col 67}{space 3} .1526045
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull + treatfull_eff = 0{p_end}

{txt}       F(  1,   186) ={res}   12.41
{txt}{col 13}Prob > F ={res}    0.0005
{txt}note: b_commtg_z_d omitted because of collinearity
{res}
{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}     7,288
{txt}{col 49}F({res}  16{txt},{res}    186{txt}){col 67}= {res}      7.21
{txt}{col 49}Prob > F{col 67}= {res}    0.0000
{txt}{col 49}R-squared{col 67}= {res}    0.0985
{txt}{col 49}Adj R-squared{col 67}= {res}    0.0946
{txt}{col 49}Root MSE{col 67}= {res}    0.5584

{txt}{ralign 78:(Std. Err. adjusted for {res:187} clusters in hc_id)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}  e_commtg_z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2} .0073352{col 26}{space 2}  .032444{col 37}{space 1}    0.23{col 46}{space 3}0.821{col 54}{space 4}-.0566703{col 67}{space 3} .0713407
{txt}treatfull_~f {c |}{col 14}{res}{space 2} .0003936{col 26}{space 2} .0277423{col 37}{space 1}    0.01{col 46}{space 3}0.989{col 54}{space 4}-.0543364{col 67}{space 3} .0551237
{txt}b_eff_z_me~d {c |}{col 14}{res}{space 2} .0426503{col 26}{space 2} .0196532{col 37}{space 1}    2.17{col 46}{space 3}0.031{col 54}{space 4} .0038785{col 67}{space 3} .0814221
{txt}{space 2}b_commtg_z {c |}{col 14}{res}{space 2} .0732794{col 26}{space 2}  .013565{col 37}{space 1}    5.40{col 46}{space 3}0.000{col 54}{space 4} .0465184{col 67}{space 3} .1000404
{txt}b_commtg_z_d {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 1}c_tfull_hc2 {c |}{col 14}{res}{space 2} .1111113{col 26}{space 2} .0468624{col 37}{space 1}    2.37{col 46}{space 3}0.019{col 54}{space 4} .0186611{col 67}{space 3} .2035615
{txt}c_tfull_b_~l {c |}{col 14}{res}{space 2} .0548305{col 26}{space 2} .0695129{col 37}{space 1}    0.79{col 46}{space 3}0.431{col 54}{space 4}-.0823046{col 67}{space 3} .1919655
{txt}c_tfull_b_~s {c |}{col 14}{res}{space 2}-.0082711{col 26}{space 2} .0810769{col 37}{space 1}   -0.10{col 46}{space 3}0.919{col 54}{space 4}-.1682196{col 67}{space 3} .1516773
{txt}c_tfull_b_~d {c |}{col 14}{res}{space 2} .0467128{col 26}{space 2} .0450688{col 37}{space 1}    1.04{col 46}{space 3}0.301{col 54}{space 4}-.0421989{col 67}{space 3} .1356246
{txt}c_tfull_ed~r {c |}{col 14}{res}{space 2} .0037061{col 26}{space 2} .0024376{col 37}{space 1}    1.52{col 46}{space 3}0.130{col 54}{space 4}-.0011028{col 67}{space 3}  .008515
{txt}c_tfull_b_~x {c |}{col 14}{res}{space 2} .0261713{col 26}{space 2} .0111546{col 37}{space 1}    2.35{col 46}{space 3}0.020{col 54}{space 4} .0041655{col 67}{space 3} .0481772
{txt}c_trea~l_hc2 {c |}{col 14}{res}{space 2} .0175682{col 26}{space 2} .0599274{col 37}{space 1}    0.29{col 46}{space 3}0.770{col 54}{space 4}-.1006566{col 67}{space 3}  .135793
{txt}c_treatful.. {c |}{col 14}{res}{space 2} .0551596{col 26}{space 2} .0785879{col 37}{space 1}    0.70{col 46}{space 3}0.484{col 54}{space 4}-.0998785{col 67}{space 3} .2101978
{txt}c_treatful.. {c |}{col 14}{res}{space 2} .0278701{col 26}{space 2}  .083701{col 37}{space 1}    0.33{col 46}{space 3}0.740{col 54}{space 4}-.1372553{col 67}{space 3} .1929955
{txt}c_treatful.. {c |}{col 14}{res}{space 2} .0987553{col 26}{space 2} .0615096{col 37}{space 1}    1.61{col 46}{space 3}0.110{col 54}{space 4}-.0225908{col 67}{space 3} .2201015
{txt}c_treatful.. {c |}{col 14}{res}{space 2} .0006858{col 26}{space 2} .0035131{col 37}{space 1}    0.20{col 46}{space 3}0.845{col 54}{space 4}-.0062448{col 67}{space 3} .0076164
{txt}c_treatful.. {c |}{col 14}{res}{space 2}-.0011239{col 26}{space 2} .0174147{col 37}{space 1}   -0.06{col 46}{space 3}0.949{col 54}{space 4}-.0354795{col 67}{space 3} .0332318
{txt}{space 7}_cons {c |}{col 14}{res}{space 2}-.0173402{col 26}{space 2} .0215222{col 37}{space 1}   -0.81{col 46}{space 3}0.421{col 54}{space 4}-.0597992{col 67}{space 3} .0251188
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull + treatfull_eff = 0{p_end}

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}  e_commtg_z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}(1) {c |}{col 14}{res}{space 2} .0077288{col 26}{space 2} .0294102{col 37}{space 1}    0.26{col 46}{space 3}0.793{col 54}{space 4}-.0502916{col 67}{space 3} .0657492
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull + treatfull_eff = 0{p_end}

{txt}       F(  1,   186) ={res}    0.07
{txt}{col 13}Prob > F ={res}    0.7930
{txt}
{com}. 
.                 
.         * Subgroup Effects: Distance to HC
.         
.         * We local the vector of control variable without HC level components
.         
.         local  e_controls_noprefix b_visited_d educyr b_assetindex
{txt}
{com}.                 
.         foreach x in e_ {c -(}
{txt}  2{com}.                 
.                 local `x'controls
{txt}  3{com}.                 local `x'controls_hc
{txt}  4{com}.                 
.                 local `x'controls_tfull
{txt}  5{com}.                 local `x'controls_tfull_hc
{txt}  6{com}.                         
.                 {c )-}
{txt}
{com}.                 
.         foreach x in e_ {c -(}
{txt}  2{com}.                 foreach var in treatfull {c -(}
{txt}  3{com}.                 
.                         local `var'_int_`x'controls
{txt}  4{com}.                         local `var'_hc_int_`x'controls
{txt}  5{com}.                         
.                         {c )-}
{txt}  6{com}.                 {c )-}
{txt}
{com}.                                 
.         foreach var of local e_controls_noprefix {c -(}
{txt}  2{com}.                 local e_controls `e_controls' c_`var'
{txt}  3{com}.                 local e_controls_tfull `e_controls_tfull' c_tfull_`var'
{txt}  4{com}.                 
.                 local e_controls_hc `e_controls_hc' c_hc_`var'
{txt}  5{com}.                 local e_controls_tfull_hc `e_controls_tfull_hc' c_tfull_hc_`var'
{txt}  6{com}.                 {c )-}
{txt}
{com}.                         
.         foreach treat in treatfull {c -(}
{txt}  2{com}.                 foreach var of local e_controls_noprefix {c -(}
{txt}  3{com}.                 
.                         local `treat'_int_e_controls ``treat'_int_e_controls' c_`treat'_`var'
{txt}  4{com}.                         local `treat'_hc_int_e_controls ``treat'_hc_int_e_controls' c_`treat'_hc_`var'
{txt}  5{com}.                         
.                         {c )-}
{txt}  6{com}.                 {c )-}
{txt}
{com}.         
.         * We regress the results
.         
.         foreach x in `indices' {c -(}
{txt}  2{com}.         
.                 areg e_`x' treatfull treatfull_distance b_distance_hc_z_med_d b_`x' b_`x'_d `e_controls_tfull' `treatfull_int_e_controls', robust cl(hc_id) a(district)
{txt}  3{com}.                 eststo e_`x'_distance
{txt}  4{com}.                 local n_distance_`x' = string(e(N),"%9.0fc")
{txt}  5{com}.                 local r2_distance_`x' = string(e(r2),"%9.3fc")
{txt}  6{com}.                 
.                 lincom treatfull + treatfull_distance
{txt}  7{com}.                 local est_distance_`x' = r(estimate)
{txt}  8{com}.                 local se_distance_`x' = r(se)
{txt}  9{com}.                 test treatfull + treatfull_distance = 0
{txt} 10{com}.                 local p_distance_`x' = r(p)
{txt} 11{com}.                 
.                 local est_bdistance_`x' = string(_b[treatfull],"%9.3fc")
{txt} 12{com}.                 local se_bdistance_`x' = string(_se[treatfull],"%9.3fc")
{txt} 13{com}.                 local p_bdistance_`x' = (2 * ttail(e(df_r), abs(_b[treatfull]/_se[treatfull])))
{txt} 14{com}.                 
.                 local est_tmxdist_`x' = string(_b[treatfull_distance],"%9.3fc")
{txt} 15{com}.                 local se_tmxdist_`x' = string(_se[treatfull_distance],"%9.3fc")
{txt} 16{com}.                 local p_tmxdist_`x' = (2 * ttail(e(df_r), abs(_b[treatfull_distance]/_se[treatfull_distance])))
{txt} 17{com}.                 
.                 local est_smdist_`x' = string(_b[b_distance_hc_z_med_d],"%9.3fc")
{txt} 18{com}.                 local se_smdist_`x' = string(_se[b_distance_hc_z_med_d],"%9.3fc")
{txt} 19{com}.                 local p_smdist_`x' = (2 * ttail(e(df_r), abs(_b[b_distance_hc_z_med_d]/_se[b_distance_hc_z_med_d])))
{txt} 20{com}.                 
.                 local est_cdist_`x' = string(_b[_cons],"%9.3fc")
{txt} 21{com}.                 local se_cdist_`x' = string(_se[_cons],"%9.3fc")
{txt} 22{com}.                 local p_cdist_`x' = (2 * ttail(e(df_r), abs(_b[_cons]/_se[_cons])))
{txt} 23{com}.                 
.                 foreach var in bdistance tmxdist smdist cdist {c -(}
{txt} 24{com}.                 
.                         gen sign_`var'_zero_`x' = (`p_`var'_`x''>0.1)
{txt} 25{com}.                         gen sign_`var'_p1s_`x' = (`p_`var'_`x''<=0.1 & `p_`var'_`x''>0.05 & `est_`var'_`x''>0)
{txt} 26{com}.                         gen sign_`var'_p2s_`x' = (`p_`var'_`x''<=0.05 & `p_`var'_`x''>0.01 & `est_`var'_`x''>0)
{txt} 27{com}.                         gen sign_`var'_p3s_`x' = (`p_`var'_`x''<=0.01 & `p_`var'_`x''>=0 & `est_`var'_`x''>0)
{txt} 28{com}.                         gen sign_`var'_m1s_`x' = (`p_`var'_`x''<=0.1 & `p_`var'_`x''>0.05 & `est_`var'_`x''<0)
{txt} 29{com}.                         gen sign_`var'_m2s_`x' = (`p_`var'_`x''<=0.05 & `p_`var'_`x''>0.01 & `est_`var'_`x''<0)
{txt} 30{com}.                         gen sign_`var'_m3s_`x' = (`p_`var'_`x''<=0.01 & `p_`var'_`x''>=0 & `est_`var'_`x''<0)
{txt} 31{com}.                         
.                         if sign_`var'_p1s_`x' == 1 {c -(}
{txt} 32{com}.                                         local sign_`var'_`x' = "\cellcolor[HTML]{c -(}EFEFEF{c )-}+"
{txt} 33{com}.                                         local est_`var'_`x' = "`est_`var'_`x''*"
{txt} 34{com}.                                         {c )-}
{txt} 35{com}.                                         
.                         if sign_`var'_p2s_`x' == 1 {c -(}    
{txt} 36{com}.                                         local sign_`var'_`x' = "\cellcolor[HTML]{c -(}C0C0C0{c )-}+"
{txt} 37{com}.                                         local est_`var'_`x' = "`est_`var'_`x''**"
{txt} 38{com}.                                         {c )-}
{txt} 39{com}.                                         
.                         if sign_`var'_p3s_`x' == 1 {c -(}    
{txt} 40{com}.                                         local sign_`var'_`x' = "\cellcolor[HTML]{c -(}9B9B9B{c )-}+"
{txt} 41{com}.                                         local est_`var'_`x' = "`est_`var'_`x''***"
{txt} 42{com}.                                         {c )-}
{txt} 43{com}.                                 
.                         if sign_`var'_m1s_`x' == 1 {c -(}
{txt} 44{com}.                                         local sign_`var'_`x' = "\cellcolor[HTML]{c -(}EFEFEF{c )-}-"
{txt} 45{com}.                                         local est_`var'_`x' = "`est_`var'_`x''*"
{txt} 46{com}.                                         {c )-}
{txt} 47{com}.                                         
.                         if sign_`var'_m2s_`x' == 1 {c -(}    
{txt} 48{com}.                                         local sign_`var'_`x' = "\cellcolor[HTML]{c -(}C0C0C0{c )-}-"
{txt} 49{com}.                                         local est_`var'_`x' = "`est_`var'_`x''**"
{txt} 50{com}.                                         {c )-}
{txt} 51{com}.                                         
.                         if sign_`var'_m3s_`x' == 1 {c -(}    
{txt} 52{com}.                                         local sign_`var'_`x' = "\cellcolor[HTML]{c -(}9B9B9B{c )-}-"
{txt} 53{com}.                                         local est_`var'_`x' = "`est_`var'_`x''***"
{txt} 54{com}.                                         {c )-}
{txt} 55{com}.                                 
.                         if sign_`var'_zero_`x' == 1 {c -(}
{txt} 56{com}.                                 local sign_`var'_`x' = "0"
{txt} 57{com}.                                 {c )-}
{txt} 58{com}.                                 
.                         {c )-}
{txt} 59{com}.                         
.                 gen sign_distance_zero_`x' = (`p_distance_`x''>0.1)
{txt} 60{com}.                 gen sign_distance_p1s_`x' = (`p_distance_`x''<=0.1 & `p_distance_`x''>0.05 & `est_distance_`x''>0)
{txt} 61{com}.                 gen sign_distance_p2s_`x' = (`p_distance_`x''<=0.05 & `p_distance_`x''>0.01 & `est_distance_`x''>0)
{txt} 62{com}.                 gen sign_distance_p3s_`x' = (`p_distance_`x''<=0.01 & `p_distance_`x''>=0 & `est_distance_`x''>0)
{txt} 63{com}.                 gen sign_distance_m1s_`x' = (`p_distance_`x''<=0.1 & `p_distance_`x''>0.05 & `est_distance_`x''<0)
{txt} 64{com}.                 gen sign_distance_m2s_`x' = (`p_distance_`x''<=0.05 & `p_distance_`x''>0.01 & `est_distance_`x''<0)
{txt} 65{com}.                 gen sign_distance_m3s_`x' = (`p_distance_`x''<=0.01 & `p_distance_`x''>=0 & `est_distance_`x''<0)
{txt} 66{com}.                 
.                 local p_distance_`x' = string(`p_distance_`x'',"%9.3fc")
{txt} 67{com}.                 local est_distance_`x' = string(`est_distance_`x'',"%9.3fc")
{txt} 68{com}.                 local se_distance_`x' = string(`se_distance_`x'',"%9.3fc")
{txt} 69{com}.                 
.                 if sign_distance_p1s_`x' == 1 {c -(}
{txt} 70{com}.                                 local sign_distance_`x' = "\cellcolor[HTML]{c -(}EFEFEF{c )-}+"
{txt} 71{com}.                                 local est_distance_`x' = "`est_distance_`x''*"
{txt} 72{com}.                                 {c )-}
{txt} 73{com}.                                 
.                 if sign_distance_p2s_`x' == 1 {c -(} 
{txt} 74{com}.                                 local sign_distance_`x' = "\cellcolor[HTML]{c -(}C0C0C0{c )-}+"
{txt} 75{com}.                                 local est_distance_`x' = "`est_distance_`x''**"
{txt} 76{com}.                                 {c )-}
{txt} 77{com}.                                 
.                 if sign_distance_p3s_`x' == 1 {c -(} 
{txt} 78{com}.                                 local sign_distance_`x' = "\cellcolor[HTML]{c -(}9B9B9B{c )-}+"
{txt} 79{com}.                                 local est_distance_`x' = "`est_distance_`x''***"
{txt} 80{com}.                                 {c )-}
{txt} 81{com}.                         
.                 if sign_distance_m1s_`x' == 1 {c -(}
{txt} 82{com}.                                 local sign_distance_`x' = "\cellcolor[HTML]{c -(}EFEFEF{c )-}-"
{txt} 83{com}.                                 local est_distance_`x' = "`est_distance_`x''*"
{txt} 84{com}.                                 {c )-}
{txt} 85{com}.                                 
.                 if sign_distance_m2s_`x' == 1 {c -(} 
{txt} 86{com}.                                 local sign_distance_`x' = "\cellcolor[HTML]{c -(}C0C0C0{c )-}-"
{txt} 87{com}.                                 local est_distance_`x' = "`est_distance_`x''**"
{txt} 88{com}.                                 {c )-}
{txt} 89{com}.                                 
.                 if sign_distance_m3s_`x' == 1 {c -(} 
{txt} 90{com}.                                 local sign_distance_`x' = "\cellcolor[HTML]{c -(}9B9B9B{c )-}-"
{txt} 91{com}.                                 local est_distance_`x' = "`est_distance_`x''***"
{txt} 92{com}.                                 {c )-}
{txt} 93{com}.                         
.                 if sign_distance_zero_`x' == 1 {c -(}
{txt} 94{com}.                         local sign_distance_`x' = "0"
{txt} 95{com}.                         {c )-}
{txt} 96{com}.                 
.                 drop sign_*
{txt} 97{com}.                 
.                 {c )-}
{txt}note: b_urate_z_d omitted because of collinearity
{res}
{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}     7,288
{txt}{col 49}F({res}  10{txt},{res}    186{txt}){col 67}= {res}     81.66
{txt}{col 49}Prob > F{col 67}= {res}    0.0000
{txt}{col 49}R-squared{col 67}= {res}    0.2304
{txt}{col 49}Adj R-squared{col 67}= {res}    0.2277
{txt}{col 49}Root MSE{col 67}= {res}    0.6611

{txt}{ralign 78:(Std. Err. adjusted for {res:187} clusters in hc_id)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}   e_urate_z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2}-.0035932{col 26}{space 2} .0297326{col 37}{space 1}   -0.12{col 46}{space 3}0.904{col 54}{space 4}-.0622496{col 67}{space 3} .0550631
{txt}treatfull_~e {c |}{col 14}{res}{space 2} .0668171{col 26}{space 2} .0442735{col 37}{space 1}    1.51{col 46}{space 3}0.133{col 54}{space 4}-.0205257{col 67}{space 3} .1541599
{txt}b_distance~d {c |}{col 14}{res}{space 2}-.0362079{col 26}{space 2} .0310774{col 37}{space 1}   -1.17{col 46}{space 3}0.245{col 54}{space 4}-.0975174{col 67}{space 3} .0251017
{txt}{space 3}b_urate_z {c |}{col 14}{res}{space 2} .3546648{col 26}{space 2} .0145109{col 37}{space 1}   24.44{col 46}{space 3}0.000{col 54}{space 4} .3260376{col 67}{space 3}  .383292
{txt}{space 1}b_urate_z_d {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
c_tfull_b_~d {c |}{col 14}{res}{space 2}  .165986{col 26}{space 2} .0580234{col 37}{space 1}    2.86{col 46}{space 3}0.005{col 54}{space 4} .0515175{col 67}{space 3} .2804545
{txt}c_tfull_ed~r {c |}{col 14}{res}{space 2}-.0126046{col 26}{space 2} .0028449{col 37}{space 1}   -4.43{col 46}{space 3}0.000{col 54}{space 4}-.0182171{col 67}{space 3}-.0069921
{txt}c_tfull_b_~x {c |}{col 14}{res}{space 2}-.0393359{col 26}{space 2} .0129269{col 37}{space 1}   -3.04{col 46}{space 3}0.003{col 54}{space 4}-.0648382{col 67}{space 3}-.0138336
{txt}c_treatful.. {c |}{col 14}{res}{space 2}-.0381608{col 26}{space 2} .0810377{col 37}{space 1}   -0.47{col 46}{space 3}0.638{col 54}{space 4} -.198032{col 67}{space 3} .1217104
{txt}c_treatful.. {c |}{col 14}{res}{space 2} .0024499{col 26}{space 2} .0041518{col 37}{space 1}    0.59{col 46}{space 3}0.556{col 54}{space 4}-.0057408{col 67}{space 3} .0106406
{txt}c_treatful.. {c |}{col 14}{res}{space 2}-.0119469{col 26}{space 2} .0190334{col 37}{space 1}   -0.63{col 46}{space 3}0.531{col 54}{space 4}-.0494959{col 67}{space 3} .0256022
{txt}{space 7}_cons {c |}{col 14}{res}{space 2}-.0035737{col 26}{space 2}   .02026{col 37}{space 1}   -0.18{col 46}{space 3}0.860{col 54}{space 4}-.0435426{col 67}{space 3} .0363952
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull + treatfull_distance = 0{p_end}

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}   e_urate_z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}(1) {c |}{col 14}{res}{space 2} .0632238{col 26}{space 2} .0324523{col 37}{space 1}    1.95{col 46}{space 3}0.053{col 54}{space 4} -.000798{col 67}{space 3} .1272457
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull + treatfull_distance = 0{p_end}

{txt}       F(  1,   186) ={res}    3.80
{txt}{col 13}Prob > F ={res}    0.0529
{txt}note: b_treatqual_z_d omitted because of collinearity
{res}
{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}     7,288
{txt}{col 49}F({res}  10{txt},{res}    186{txt}){col 67}= {res}      5.45
{txt}{col 49}Prob > F{col 67}= {res}    0.0000
{txt}{col 49}R-squared{col 67}= {res}    0.0935
{txt}{col 49}Adj R-squared{col 67}= {res}    0.0904
{txt}{col 49}Root MSE{col 67}= {res}    0.3530

{txt}{ralign 78:(Std. Err. adjusted for {res:187} clusters in hc_id)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}e_treatq~l_z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2} .0598988{col 26}{space 2} .0337048{col 37}{space 1}    1.78{col 46}{space 3}0.077{col 54}{space 4}-.0065939{col 67}{space 3} .1263916
{txt}treatfull_~e {c |}{col 14}{res}{space 2} .0167008{col 26}{space 2} .0538012{col 37}{space 1}    0.31{col 46}{space 3}0.757{col 54}{space 4}-.0894382{col 67}{space 3} .1228398
{txt}b_distance~d {c |}{col 14}{res}{space 2} .0225848{col 26}{space 2} .0408745{col 37}{space 1}    0.55{col 46}{space 3}0.581{col 54}{space 4}-.0580523{col 67}{space 3}  .103222
{txt}b_treatq~l_z {c |}{col 14}{res}{space 2} .1072246{col 26}{space 2} .0208424{col 37}{space 1}    5.14{col 46}{space 3}0.000{col 54}{space 4} .0661066{col 67}{space 3} .1483426
{txt}b_trea~l_z_d {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
c_tfull_b_~d {c |}{col 14}{res}{space 2} .0116346{col 26}{space 2} .0233663{col 37}{space 1}    0.50{col 46}{space 3}0.619{col 54}{space 4}-.0344624{col 67}{space 3} .0577316
{txt}c_tfull_ed~r {c |}{col 14}{res}{space 2}-.0024553{col 26}{space 2} .0016601{col 37}{space 1}   -1.48{col 46}{space 3}0.141{col 54}{space 4}-.0057303{col 67}{space 3} .0008196
{txt}c_tfull_b_~x {c |}{col 14}{res}{space 2} .0005132{col 26}{space 2} .0095826{col 37}{space 1}    0.05{col 46}{space 3}0.957{col 54}{space 4}-.0183914{col 67}{space 3} .0194179
{txt}c_treatful.. {c |}{col 14}{res}{space 2} .0403907{col 26}{space 2} .0322553{col 37}{space 1}    1.25{col 46}{space 3}0.212{col 54}{space 4}-.0232425{col 67}{space 3}  .104024
{txt}c_treatful.. {c |}{col 14}{res}{space 2} .0023365{col 26}{space 2} .0022815{col 37}{space 1}    1.02{col 46}{space 3}0.307{col 54}{space 4}-.0021643{col 67}{space 3} .0068374
{txt}c_treatful.. {c |}{col 14}{res}{space 2}-.0227947{col 26}{space 2} .0147152{col 37}{space 1}   -1.55{col 46}{space 3}0.123{col 54}{space 4}-.0518248{col 67}{space 3} .0062354
{txt}{space 7}_cons {c |}{col 14}{res}{space 2}-.0093848{col 26}{space 2} .0263823{col 37}{space 1}   -0.36{col 46}{space 3}0.722{col 54}{space 4}-.0614318{col 67}{space 3} .0426622
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull + treatfull_distance = 0{p_end}

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}e_treatq~l_z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}(1) {c |}{col 14}{res}{space 2} .0765996{col 26}{space 2} .0417674{col 37}{space 1}    1.83{col 46}{space 3}0.068{col 54}{space 4}-.0057991{col 67}{space 3} .1589983
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull + treatfull_distance = 0{p_end}

{txt}       F(  1,   186) ={res}    3.36
{txt}{col 13}Prob > F ={res}    0.0683
{txt}note: b_patsat_z_d omitted because of collinearity
{res}
{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}     7,288
{txt}{col 49}F({res}  10{txt},{res}    186{txt}){col 67}= {res}     11.01
{txt}{col 49}Prob > F{col 67}= {res}    0.0000
{txt}{col 49}R-squared{col 67}= {res}    0.0389
{txt}{col 49}Adj R-squared{col 67}= {res}    0.0356
{txt}{col 49}Root MSE{col 67}= {res}    0.5872

{txt}{ralign 78:(Std. Err. adjusted for {res:187} clusters in hc_id)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}  e_patsat_z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2} .0377749{col 26}{space 2} .0323661{col 37}{space 1}    1.17{col 46}{space 3}0.245{col 54}{space 4}-.0260769{col 67}{space 3} .1016267
{txt}treatfull_~e {c |}{col 14}{res}{space 2} .0825528{col 26}{space 2} .0517143{col 37}{space 1}    1.60{col 46}{space 3}0.112{col 54}{space 4}-.0194692{col 67}{space 3} .1845747
{txt}b_distance~d {c |}{col 14}{res}{space 2}-.0686947{col 26}{space 2} .0360785{col 37}{space 1}   -1.90{col 46}{space 3}0.058{col 54}{space 4}-.1398704{col 67}{space 3} .0024809
{txt}{space 2}b_patsat_z {c |}{col 14}{res}{space 2} .1386202{col 26}{space 2} .0152409{col 37}{space 1}    9.10{col 46}{space 3}0.000{col 54}{space 4}  .108553{col 67}{space 3} .1686874
{txt}b_patsat_z_d {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
c_tfull_b_~d {c |}{col 14}{res}{space 2} .0107881{col 26}{space 2} .0395064{col 37}{space 1}    0.27{col 46}{space 3}0.785{col 54}{space 4}-.0671501{col 67}{space 3} .0887264
{txt}c_tfull_ed~r {c |}{col 14}{res}{space 2} .0026162{col 26}{space 2}  .002697{col 37}{space 1}    0.97{col 46}{space 3}0.333{col 54}{space 4}-.0027044{col 67}{space 3} .0079367
{txt}c_tfull_b_~x {c |}{col 14}{res}{space 2} .0119599{col 26}{space 2} .0103449{col 37}{space 1}    1.16{col 46}{space 3}0.249{col 54}{space 4}-.0084484{col 67}{space 3} .0323683
{txt}c_treatful.. {c |}{col 14}{res}{space 2}-.0317704{col 26}{space 2} .0490574{col 37}{space 1}   -0.65{col 46}{space 3}0.518{col 54}{space 4}-.1285508{col 67}{space 3} .0650099
{txt}c_treatful.. {c |}{col 14}{res}{space 2} .0022211{col 26}{space 2} .0036376{col 37}{space 1}    0.61{col 46}{space 3}0.542{col 54}{space 4}-.0049551{col 67}{space 3} .0093973
{txt}c_treatful.. {c |}{col 14}{res}{space 2}-.0169605{col 26}{space 2} .0150167{col 37}{space 1}   -1.13{col 46}{space 3}0.260{col 54}{space 4}-.0465855{col 67}{space 3} .0126645
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} .0298124{col 26}{space 2} .0225421{col 37}{space 1}    1.32{col 46}{space 3}0.188{col 54}{space 4}-.0146586{col 67}{space 3} .0742835
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull + treatfull_distance = 0{p_end}

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}  e_patsat_z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}(1) {c |}{col 14}{res}{space 2} .1203277{col 26}{space 2} .0387389{col 37}{space 1}    3.11{col 46}{space 3}0.002{col 54}{space 4} .0439035{col 67}{space 3} .1967518
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull + treatfull_distance = 0{p_end}

{txt}       F(  1,   186) ={res}    9.65
{txt}{col 13}Prob > F ={res}    0.0022
{txt}note: b_commtg_z_d omitted because of collinearity
{res}
{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}     7,288
{txt}{col 49}F({res}  10{txt},{res}    186{txt}){col 67}= {res}      8.16
{txt}{col 49}Prob > F{col 67}= {res}    0.0000
{txt}{col 49}R-squared{col 67}= {res}    0.0910
{txt}{col 49}Adj R-squared{col 67}= {res}    0.0879
{txt}{col 49}Root MSE{col 67}= {res}    0.5605

{txt}{ralign 78:(Std. Err. adjusted for {res:187} clusters in hc_id)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}  e_commtg_z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2}-.0018216{col 26}{space 2} .0386605{col 37}{space 1}   -0.05{col 46}{space 3}0.962{col 54}{space 4}-.0780911{col 67}{space 3} .0744478
{txt}treatfull_~e {c |}{col 14}{res}{space 2} .0205897{col 26}{space 2} .0593814{col 37}{space 1}    0.35{col 46}{space 3}0.729{col 54}{space 4}-.0965579{col 67}{space 3} .1377372
{txt}b_distance~d {c |}{col 14}{res}{space 2} -.034698{col 26}{space 2} .0404328{col 37}{space 1}   -0.86{col 46}{space 3}0.392{col 54}{space 4}-.1144639{col 67}{space 3} .0450679
{txt}{space 2}b_commtg_z {c |}{col 14}{res}{space 2} .0813545{col 26}{space 2}  .013539{col 37}{space 1}    6.01{col 46}{space 3}0.000{col 54}{space 4} .0546447{col 67}{space 3} .1080642
{txt}b_commtg_z_d {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
c_tfull_b_~d {c |}{col 14}{res}{space 2} .0409568{col 26}{space 2} .0472298{col 37}{space 1}    0.87{col 46}{space 3}0.387{col 54}{space 4}-.0522182{col 67}{space 3} .1341317
{txt}c_tfull_ed~r {c |}{col 14}{res}{space 2} .0034609{col 26}{space 2} .0024361{col 37}{space 1}    1.42{col 46}{space 3}0.157{col 54}{space 4}-.0013451{col 67}{space 3} .0082668
{txt}c_tfull_b_~x {c |}{col 14}{res}{space 2} .0273292{col 26}{space 2}  .011797{col 37}{space 1}    2.32{col 46}{space 3}0.022{col 54}{space 4} .0040561{col 67}{space 3} .0506023
{txt}c_treatful.. {c |}{col 14}{res}{space 2} .1092866{col 26}{space 2} .0645622{col 37}{space 1}    1.69{col 46}{space 3}0.092{col 54}{space 4}-.0180816{col 67}{space 3} .2366549
{txt}c_treatful.. {c |}{col 14}{res}{space 2} .0009409{col 26}{space 2} .0035369{col 37}{space 1}    0.27{col 46}{space 3}0.791{col 54}{space 4}-.0060367{col 67}{space 3} .0079185
{txt}c_treatful.. {c |}{col 14}{res}{space 2}-.0060202{col 26}{space 2} .0191633{col 37}{space 1}   -0.31{col 46}{space 3}0.754{col 54}{space 4}-.0438256{col 67}{space 3} .0317852
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} .0183156{col 26}{space 2} .0275582{col 37}{space 1}    0.66{col 46}{space 3}0.507{col 54}{space 4}-.0360511{col 67}{space 3} .0726824
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull + treatfull_distance = 0{p_end}

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}  e_commtg_z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}(1) {c |}{col 14}{res}{space 2} .0187681{col 26}{space 2} .0435741{col 37}{space 1}    0.43{col 46}{space 3}0.667{col 54}{space 4} -.067195{col 67}{space 3} .1047311
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull + treatfull_distance = 0{p_end}

{txt}       F(  1,   186) ={res}    0.19
{txt}{col 13}Prob > F ={res}    0.6672
{txt}
{com}. 
.         
.         * Subgroup Effects: Urban Area
.         
.         foreach x in `indices' {c -(}
{txt}  2{com}.         
.                 areg e_`x' treatfull treatfull_urbanarea b_h_urb_area b_`x' b_`x'_d `e_controls_tfull' `treatfull_int_e_controls', robust cl(hc_id) a(district)
{txt}  3{com}.                 eststo e_`x'_urbanarea
{txt}  4{com}.                 local n_urbanarea_`x' = string(e(N),"%9.0fc")
{txt}  5{com}.                 local r2_urbanarea_`x' = string(e(r2),"%9.3fc")
{txt}  6{com}.                 
.                 lincom treatfull + treatfull_urbanarea
{txt}  7{com}.                 local est_urbanarea_`x' = r(estimate)
{txt}  8{com}.                 local se_urbanarea_`x' = r(se)
{txt}  9{com}.                 test treatfull + treatfull_urbanarea = 0
{txt} 10{com}.                 local p_urbanarea_`x' = r(p)
{txt} 11{com}.                 
.                 local est_ruralarea_`x' = string(_b[treatfull],"%9.3fc")
{txt} 12{com}.                 local se_ruralarea_`x' = string(_se[treatfull],"%9.3fc")
{txt} 13{com}.                 local p_ruralarea_`x' = (2 * ttail(e(df_r), abs(_b[treatfull]/_se[treatfull])))
{txt} 14{com}.                 
.                 local est_tmxrural_`x' = string(_b[treatfull_urbanarea],"%9.3fc")
{txt} 15{com}.                 local se_tmxrural_`x' = string(_se[treatfull_urbanarea],"%9.3fc")
{txt} 16{com}.                 local p_tmxrural_`x' = (2 * ttail(e(df_r), abs(_b[treatfull_urbanarea]/_se[treatfull_urbanarea])))
{txt} 17{com}.                         
.                 local est_smrural_`x' = string(_b[b_h_urb_area],"%9.3fc")
{txt} 18{com}.                 local se_smrural_`x' = string(_se[b_h_urb_area],"%9.3fc")
{txt} 19{com}.                 local p_smrural_`x' = (2 * ttail(e(df_r), abs(_b[b_h_urb_area]/_se[b_h_urb_area])))
{txt} 20{com}.                 
.                 local est_crural_`x' = string(_b[_cons],"%9.3fc")
{txt} 21{com}.                 local se_crural_`x' = string(_se[_cons],"%9.3fc")
{txt} 22{com}.                 local p_crural_`x' = (2 * ttail(e(df_r), abs(_b[_cons]/_se[_cons])))
{txt} 23{com}.                 
.                 foreach var in ruralarea tmxrural smrural crural {c -(}
{txt} 24{com}.                         
.                         gen sign_`var'_zero_`x' = (`p_`var'_`x''>0.1)
{txt} 25{com}.                         gen sign_`var'_p1s_`x' = (`p_`var'_`x''<=0.1 & `p_`var'_`x''>0.05 & `est_`var'_`x''>0)
{txt} 26{com}.                         gen sign_`var'_p2s_`x' = (`p_`var'_`x''<=0.05 & `p_`var'_`x''>0.01 & `est_`var'_`x''>0)
{txt} 27{com}.                         gen sign_`var'_p3s_`x' = (`p_`var'_`x''<=0.01 & `p_`var'_`x''>=0 & `est_`var'_`x''>0)
{txt} 28{com}.                         gen sign_`var'_m1s_`x' = (`p_`var'_`x''<=0.1 & `p_`var'_`x''>0.05 & `est_`var'_`x''<0)
{txt} 29{com}.                         gen sign_`var'_m2s_`x' = (`p_`var'_`x''<=0.05 & `p_`var'_`x''>0.01 & `est_`var'_`x''<0)
{txt} 30{com}.                         gen sign_`var'_m3s_`x' = (`p_`var'_`x''<=0.01 & `p_`var'_`x''>=0 & `est_`var'_`x''<0)
{txt} 31{com}.                         
.                         if sign_`var'_p1s_`x' == 1 {c -(}
{txt} 32{com}.                                         local sign_`var'_`x' = "\cellcolor[HTML]{c -(}EFEFEF{c )-}+"
{txt} 33{com}.                                         local est_`var'_`x' = "`est_`var'_`x''*"
{txt} 34{com}.                                         {c )-}
{txt} 35{com}.                                         
.                         if sign_`var'_p2s_`x' == 1 {c -(}    
{txt} 36{com}.                                         local sign_`var'_`x' = "\cellcolor[HTML]{c -(}C0C0C0{c )-}+"
{txt} 37{com}.                                         local est_`var'_`x' = "`est_`var'_`x''**"
{txt} 38{com}.                                         {c )-}
{txt} 39{com}.                                         
.                         if sign_`var'_p3s_`x' == 1 {c -(}    
{txt} 40{com}.                                         local sign_`var'_`x' = "\cellcolor[HTML]{c -(}9B9B9B{c )-}+"
{txt} 41{com}.                                         local est_`var'_`x' = "`est_`var'_`x''***"
{txt} 42{com}.                                         {c )-}
{txt} 43{com}.                                 
.                         if sign_`var'_m1s_`x' == 1 {c -(}
{txt} 44{com}.                                         local sign_`var'_`x' = "\cellcolor[HTML]{c -(}EFEFEF{c )-}-"
{txt} 45{com}.                                         local est_`var'_`x' = "`est_`var'_`x''*"
{txt} 46{com}.                                         {c )-}
{txt} 47{com}.                                         
.                         if sign_`var'_m2s_`x' == 1 {c -(}    
{txt} 48{com}.                                         local sign_`var'_`x' = "\cellcolor[HTML]{c -(}C0C0C0{c )-}-"
{txt} 49{com}.                                         local est_`var'_`x' = "`est_`var'_`x''**"
{txt} 50{com}.                                         {c )-}
{txt} 51{com}.                                         
.                         if sign_`var'_m3s_`x' == 1 {c -(}    
{txt} 52{com}.                                         local sign_`var'_`x' = "\cellcolor[HTML]{c -(}9B9B9B{c )-}-"
{txt} 53{com}.                                         local est_`var'_`x' = "`est_`var'_`x''***"
{txt} 54{com}.                                         {c )-}
{txt} 55{com}.                                 
.                         if sign_`var'_zero_`x' == 1 {c -(}
{txt} 56{com}.                                 local sign_`var'_`x' = "0"
{txt} 57{com}.                                 {c )-}
{txt} 58{com}.                                 
.                         {c )-}
{txt} 59{com}.                 
.                 gen sign_urbanarea_zero_`x' = (`p_urbanarea_`x''>0.1)
{txt} 60{com}.                 gen sign_urbanarea_p1s_`x' = (`p_urbanarea_`x''<=0.1 & `p_urbanarea_`x''>0.05 & `est_urbanarea_`x''>0)
{txt} 61{com}.                 gen sign_urbanarea_p2s_`x' = (`p_urbanarea_`x''<=0.05 & `p_urbanarea_`x''>0.01 & `est_urbanarea_`x''>0)
{txt} 62{com}.                 gen sign_urbanarea_p3s_`x' = (`p_urbanarea_`x''<=0.01 & `p_urbanarea_`x''>=0 & `est_urbanarea_`x''>0)
{txt} 63{com}.                 gen sign_urbanarea_m1s_`x' = (`p_urbanarea_`x''<=0.1 & `p_urbanarea_`x''>0.05 & `est_urbanarea_`x''<0)
{txt} 64{com}.                 gen sign_urbanarea_m2s_`x' = (`p_urbanarea_`x''<=0.05 & `p_urbanarea_`x''>0.01 & `est_urbanarea_`x''<0)
{txt} 65{com}.                 gen sign_urbanarea_m3s_`x' = (`p_urbanarea_`x''<=0.01 & `p_urbanarea_`x''>=0 & `est_urbanarea_`x''<0)
{txt} 66{com}.                 
.                 local p_urbanarea_`x' = string(`p_urbanarea_`x'',"%9.3fc")
{txt} 67{com}.                 local est_urbanarea_`x' = string(`est_urbanarea_`x'',"%9.3fc")
{txt} 68{com}.                 local se_urbanarea_`x' = string(`se_urbanarea_`x'',"%9.3fc")
{txt} 69{com}.                 
.                 if sign_urbanarea_p1s_`x' == 1 {c -(}
{txt} 70{com}.                                 local sign_urbanarea_`x' = "\cellcolor[HTML]{c -(}EFEFEF{c )-}+"
{txt} 71{com}.                                 local est_urbanarea_`x' = "`est_urbanarea_`x''*"
{txt} 72{com}.                                 {c )-}
{txt} 73{com}.                                 
.                 if sign_urbanarea_p2s_`x' == 1 {c -(}        
{txt} 74{com}.                                 local sign_urbanarea_`x' = "\cellcolor[HTML]{c -(}C0C0C0{c )-}+"
{txt} 75{com}.                                 local est_urbanarea_`x' = "`est_urbanarea_`x''**"
{txt} 76{com}.                                 {c )-}
{txt} 77{com}.                                 
.                 if sign_urbanarea_p3s_`x' == 1 {c -(}        
{txt} 78{com}.                                 local sign_urbanarea_`x' = "\cellcolor[HTML]{c -(}9B9B9B{c )-}+"
{txt} 79{com}.                                 local est_urbanarea_`x' = "`est_urbanarea_`x''***"
{txt} 80{com}.                                 {c )-}
{txt} 81{com}.                         
.                 if sign_urbanarea_m1s_`x' == 1 {c -(}
{txt} 82{com}.                                 local sign_urbanarea_`x' = "\cellcolor[HTML]{c -(}EFEFEF{c )-}-"
{txt} 83{com}.                                 local est_urbanarea_`x' = "`est_urbanarea_`x''*"
{txt} 84{com}.                                 {c )-}
{txt} 85{com}.                                 
.                 if sign_urbanarea_m2s_`x' == 1 {c -(}        
{txt} 86{com}.                                 local sign_urbanarea_`x' = "\cellcolor[HTML]{c -(}C0C0C0{c )-}-"
{txt} 87{com}.                                 local est_urbanarea_`x' = "`est_urbanarea_`x''**"
{txt} 88{com}.                                 {c )-}
{txt} 89{com}.                                 
.                 if sign_urbanarea_m3s_`x' == 1 {c -(}        
{txt} 90{com}.                                 local sign_urbanarea_`x' = "\cellcolor[HTML]{c -(}9B9B9B{c )-}-"
{txt} 91{com}.                                 local est_urbanarea_`x' = "`est_urbanarea_`x''***"
{txt} 92{com}.                                 {c )-}
{txt} 93{com}.                         
.                 if sign_urbanarea_zero_`x' == 1 {c -(}
{txt} 94{com}.                         local sign_urbanarea_`x' = "0"
{txt} 95{com}.                         {c )-}
{txt} 96{com}.                 
.                 drop sign_*
{txt} 97{com}.                 
.                 {c )-}
{txt}note: b_urate_z_d omitted because of collinearity
{res}
{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}     7,288
{txt}{col 49}F({res}  10{txt},{res}    186{txt}){col 67}= {res}     84.85
{txt}{col 49}Prob > F{col 67}= {res}    0.0000
{txt}{col 49}R-squared{col 67}= {res}    0.2333
{txt}{col 49}Adj R-squared{col 67}= {res}    0.2307
{txt}{col 49}Root MSE{col 67}= {res}    0.6599

{txt}{ralign 78:(Std. Err. adjusted for {res:187} clusters in hc_id)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}   e_urate_z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2} .1085097{col 26}{space 2} .0422111{col 37}{space 1}    2.57{col 46}{space 3}0.011{col 54}{space 4} .0252356{col 67}{space 3} .1917838
{txt}treatfull_~a {c |}{col 14}{res}{space 2}-.0987425{col 26}{space 2} .0499724{col 37}{space 1}   -1.98{col 46}{space 3}0.050{col 54}{space 4}-.1973281{col 67}{space 3}-.0001569
{txt}b_h_urb_area {c |}{col 14}{res}{space 2} .1486573{col 26}{space 2} .0361001{col 37}{space 1}    4.12{col 46}{space 3}0.000{col 54}{space 4}  .077439{col 67}{space 3} .2198756
{txt}{space 3}b_urate_z {c |}{col 14}{res}{space 2} .3507843{col 26}{space 2} .0144346{col 37}{space 1}   24.30{col 46}{space 3}0.000{col 54}{space 4} .3223077{col 67}{space 3}  .379261
{txt}{space 1}b_urate_z_d {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
c_tfull_b_~d {c |}{col 14}{res}{space 2} .1551805{col 26}{space 2}  .060465{col 37}{space 1}    2.57{col 46}{space 3}0.011{col 54}{space 4} .0358952{col 67}{space 3} .2744658
{txt}c_tfull_ed~r {c |}{col 14}{res}{space 2}-.0114138{col 26}{space 2} .0028623{col 37}{space 1}   -3.99{col 46}{space 3}0.000{col 54}{space 4}-.0170606{col 67}{space 3} -.005767
{txt}c_tfull_b_~x {c |}{col 14}{res}{space 2}-.0311274{col 26}{space 2} .0122802{col 37}{space 1}   -2.53{col 46}{space 3}0.012{col 54}{space 4}-.0553538{col 67}{space 3}-.0069011
{txt}c_treatful.. {c |}{col 14}{res}{space 2}-.0228859{col 26}{space 2} .0827432{col 37}{space 1}   -0.28{col 46}{space 3}0.782{col 54}{space 4}-.1861217{col 67}{space 3} .1403499
{txt}c_treatful.. {c |}{col 14}{res}{space 2} .0017369{col 26}{space 2} .0041894{col 37}{space 1}    0.41{col 46}{space 3}0.679{col 54}{space 4} -.006528{col 67}{space 3} .0100019
{txt}c_treatful.. {c |}{col 14}{res}{space 2}-.0157784{col 26}{space 2} .0184228{col 37}{space 1}   -0.86{col 46}{space 3}0.393{col 54}{space 4}-.0521229{col 67}{space 3} .0205661
{txt}{space 7}_cons {c |}{col 14}{res}{space 2}-.1357207{col 26}{space 2}  .031956{col 37}{space 1}   -4.25{col 46}{space 3}0.000{col 54}{space 4}-.1987635{col 67}{space 3} -.072678
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull + treatfull_urbanarea = 0{p_end}

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}   e_urate_z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}(1) {c |}{col 14}{res}{space 2} .0097672{col 26}{space 2} .0251315{col 37}{space 1}    0.39{col 46}{space 3}0.698{col 54}{space 4}-.0398123{col 67}{space 3} .0593467
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull + treatfull_urbanarea = 0{p_end}

{txt}       F(  1,   186) ={res}    0.15
{txt}{col 13}Prob > F ={res}    0.6980
{txt}note: b_treatqual_z_d omitted because of collinearity
{res}
{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}     7,288
{txt}{col 49}F({res}  10{txt},{res}    186{txt}){col 67}= {res}      6.53
{txt}{col 49}Prob > F{col 67}= {res}    0.0000
{txt}{col 49}R-squared{col 67}= {res}    0.0994
{txt}{col 49}Adj R-squared{col 67}= {res}    0.0963
{txt}{col 49}Root MSE{col 67}= {res}    0.3519

{txt}{ralign 78:(Std. Err. adjusted for {res:187} clusters in hc_id)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}e_treatq~l_z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2} -.030172{col 26}{space 2} .0529832{col 37}{space 1}   -0.57{col 46}{space 3}0.570{col 54}{space 4}-.1346973{col 67}{space 3} .0743532
{txt}treatfull_~a {c |}{col 14}{res}{space 2} .1382725{col 26}{space 2} .0608131{col 37}{space 1}    2.27{col 46}{space 3}0.024{col 54}{space 4} .0183004{col 67}{space 3} .2582446
{txt}b_h_urb_area {c |}{col 14}{res}{space 2}-.0387719{col 26}{space 2} .0506804{col 37}{space 1}   -0.77{col 46}{space 3}0.445{col 54}{space 4}-.1387542{col 67}{space 3} .0612104
{txt}b_treatq~l_z {c |}{col 14}{res}{space 2} .1103673{col 26}{space 2} .0200622{col 37}{space 1}    5.50{col 46}{space 3}0.000{col 54}{space 4} .0707886{col 67}{space 3} .1499459
{txt}b_trea~l_z_d {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
c_tfull_b_~d {c |}{col 14}{res}{space 2} .0184125{col 26}{space 2} .0231857{col 37}{space 1}    0.79{col 46}{space 3}0.428{col 54}{space 4}-.0273282{col 67}{space 3} .0641533
{txt}c_tfull_ed~r {c |}{col 14}{res}{space 2}-.0028297{col 26}{space 2} .0017035{col 37}{space 1}   -1.66{col 46}{space 3}0.098{col 54}{space 4}-.0061902{col 67}{space 3} .0005309
{txt}c_tfull_b_~x {c |}{col 14}{res}{space 2}  .000937{col 26}{space 2} .0101526{col 37}{space 1}    0.09{col 46}{space 3}0.927{col 54}{space 4} -.019092{col 67}{space 3} .0209661
{txt}c_treatful.. {c |}{col 14}{res}{space 2} .0299705{col 26}{space 2} .0315081{col 37}{space 1}    0.95{col 46}{space 3}0.343{col 54}{space 4}-.0321886{col 67}{space 3} .0921296
{txt}c_treatful.. {c |}{col 14}{res}{space 2} .0033264{col 26}{space 2} .0022883{col 37}{space 1}    1.45{col 46}{space 3}0.148{col 54}{space 4} -.001188{col 67}{space 3} .0078408
{txt}c_treatful.. {c |}{col 14}{res}{space 2}-.0163422{col 26}{space 2} .0150872{col 37}{space 1}   -1.08{col 46}{space 3}0.280{col 54}{space 4}-.0461062{col 67}{space 3} .0134218
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} .0307673{col 26}{space 2} .0435648{col 37}{space 1}    0.71{col 46}{space 3}0.481{col 54}{space 4}-.0551773{col 67}{space 3} .1167118
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull + treatfull_urbanarea = 0{p_end}

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}e_treatq~l_z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}(1) {c |}{col 14}{res}{space 2} .1081005{col 26}{space 2} .0297631{col 37}{space 1}    3.63{col 46}{space 3}0.000{col 54}{space 4} .0493838{col 67}{space 3} .1668171
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull + treatfull_urbanarea = 0{p_end}

{txt}       F(  1,   186) ={res}   13.19
{txt}{col 13}Prob > F ={res}    0.0004
{txt}note: b_patsat_z_d omitted because of collinearity
{res}
{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}     7,288
{txt}{col 49}F({res}  10{txt},{res}    186{txt}){col 67}= {res}     12.32
{txt}{col 49}Prob > F{col 67}= {res}    0.0000
{txt}{col 49}R-squared{col 67}= {res}    0.0385
{txt}{col 49}Adj R-squared{col 67}= {res}    0.0352
{txt}{col 49}Root MSE{col 67}= {res}    0.5873

{txt}{ralign 78:(Std. Err. adjusted for {res:187} clusters in hc_id)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}  e_patsat_z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2} .0660391{col 26}{space 2} .0509314{col 37}{space 1}    1.30{col 46}{space 3}0.196{col 54}{space 4}-.0344384{col 67}{space 3} .1665167
{txt}treatfull_~a {c |}{col 14}{res}{space 2} .0071208{col 26}{space 2} .0592846{col 37}{space 1}    0.12{col 46}{space 3}0.905{col 54}{space 4}-.1098359{col 67}{space 3} .1240775
{txt}b_h_urb_area {c |}{col 14}{res}{space 2}-.0546385{col 26}{space 2} .0470551{col 37}{space 1}   -1.16{col 46}{space 3}0.247{col 54}{space 4}-.1474688{col 67}{space 3} .0381918
{txt}{space 2}b_patsat_z {c |}{col 14}{res}{space 2} .1396356{col 26}{space 2} .0151377{col 37}{space 1}    9.22{col 46}{space 3}0.000{col 54}{space 4} .1097721{col 67}{space 3} .1694992
{txt}b_patsat_z_d {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
c_tfull_b_~d {c |}{col 14}{res}{space 2} .0110764{col 26}{space 2} .0434475{col 37}{space 1}    0.25{col 46}{space 3}0.799{col 54}{space 4}-.0746369{col 67}{space 3} .0967896
{txt}c_tfull_ed~r {c |}{col 14}{res}{space 2} .0020949{col 26}{space 2} .0027198{col 37}{space 1}    0.77{col 46}{space 3}0.442{col 54}{space 4}-.0032709{col 67}{space 3} .0074606
{txt}c_tfull_b_~x {c |}{col 14}{res}{space 2} .0047251{col 26}{space 2} .0106882{col 37}{space 1}    0.44{col 46}{space 3}0.659{col 54}{space 4}-.0163605{col 67}{space 3} .0258107
{txt}c_treatful.. {c |}{col 14}{res}{space 2}-.0272522{col 26}{space 2} .0531546{col 37}{space 1}   -0.51{col 46}{space 3}0.609{col 54}{space 4}-.1321156{col 67}{space 3} .0776111
{txt}c_treatful.. {c |}{col 14}{res}{space 2} .0024013{col 26}{space 2} .0036371{col 37}{space 1}    0.66{col 46}{space 3}0.510{col 54}{space 4} -.004774{col 67}{space 3} .0095766
{txt}c_treatful.. {c |}{col 14}{res}{space 2}-.0126899{col 26}{space 2} .0150045{col 37}{space 1}   -0.85{col 46}{space 3}0.399{col 54}{space 4}-.0422909{col 67}{space 3}  .016911
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} .0411561{col 26}{space 2} .0403206{col 37}{space 1}    1.02{col 46}{space 3}0.309{col 54}{space 4}-.0383884{col 67}{space 3} .1207005
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull + treatfull_urbanarea = 0{p_end}

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}  e_patsat_z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}(1) {c |}{col 14}{res}{space 2} .0731599{col 26}{space 2} .0285834{col 37}{space 1}    2.56{col 46}{space 3}0.011{col 54}{space 4} .0167706{col 67}{space 3} .1295492
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull + treatfull_urbanarea = 0{p_end}

{txt}       F(  1,   186) ={res}    6.55
{txt}{col 13}Prob > F ={res}    0.0113
{txt}note: b_commtg_z_d omitted because of collinearity
{res}
{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}     7,288
{txt}{col 49}F({res}  10{txt},{res}    186{txt}){col 67}= {res}      9.67
{txt}{col 49}Prob > F{col 67}= {res}    0.0000
{txt}{col 49}R-squared{col 67}= {res}    0.0941
{txt}{col 49}Adj R-squared{col 67}= {res}    0.0909
{txt}{col 49}Root MSE{col 67}= {res}    0.5595

{txt}{ralign 78:(Std. Err. adjusted for {res:187} clusters in hc_id)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}  e_commtg_z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2}  .020049{col 26}{space 2} .0538122{col 37}{space 1}    0.37{col 46}{space 3}0.710{col 54}{space 4}-.0861117{col 67}{space 3} .1262098
{txt}treatfull_~a {c |}{col 14}{res}{space 2}-.0078536{col 26}{space 2} .0674526{col 37}{space 1}   -0.12{col 46}{space 3}0.907{col 54}{space 4} -.140924{col 67}{space 3} .1252169
{txt}b_h_urb_area {c |}{col 14}{res}{space 2} .0889285{col 26}{space 2} .0404687{col 37}{space 1}    2.20{col 46}{space 3}0.029{col 54}{space 4} .0090917{col 67}{space 3} .1687652
{txt}{space 2}b_commtg_z {c |}{col 14}{res}{space 2} .0789902{col 26}{space 2} .0135496{col 37}{space 1}    5.83{col 46}{space 3}0.000{col 54}{space 4} .0522596{col 67}{space 3} .1057208
{txt}b_commtg_z_d {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
c_tfull_b_~d {c |}{col 14}{res}{space 2} .0325691{col 26}{space 2} .0480087{col 37}{space 1}    0.68{col 46}{space 3}0.498{col 54}{space 4}-.0621425{col 67}{space 3} .1272806
{txt}c_tfull_ed~r {c |}{col 14}{res}{space 2} .0040857{col 26}{space 2} .0024184{col 37}{space 1}    1.69{col 46}{space 3}0.093{col 54}{space 4}-.0006852{col 67}{space 3} .0088567
{txt}c_tfull_b_~x {c |}{col 14}{res}{space 2} .0328523{col 26}{space 2} .0117779{col 37}{space 1}    2.79{col 46}{space 3}0.006{col 54}{space 4} .0096169{col 67}{space 3} .0560878
{txt}c_treatful.. {c |}{col 14}{res}{space 2} .1109083{col 26}{space 2} .0650387{col 37}{space 1}    1.71{col 46}{space 3}0.090{col 54}{space 4}-.0174002{col 67}{space 3} .2392167
{txt}c_treatful.. {c |}{col 14}{res}{space 2} .0008615{col 26}{space 2} .0035074{col 37}{space 1}    0.25{col 46}{space 3}0.806{col 54}{space 4}-.0060578{col 67}{space 3} .0077808
{txt}c_treatful.. {c |}{col 14}{res}{space 2} -.008001{col 26}{space 2} .0187842{col 37}{space 1}   -0.43{col 46}{space 3}0.671{col 54}{space 4}-.0450584{col 67}{space 3} .0290564
{txt}{space 7}_cons {c |}{col 14}{res}{space 2}-.0668396{col 26}{space 2} .0320197{col 37}{space 1}   -2.09{col 46}{space 3}0.038{col 54}{space 4} -.130008{col 67}{space 3}-.0036712
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull + treatfull_urbanarea = 0{p_end}

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}  e_commtg_z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}(1) {c |}{col 14}{res}{space 2} .0121955{col 26}{space 2} .0348134{col 37}{space 1}    0.35{col 46}{space 3}0.727{col 54}{space 4}-.0564845{col 67}{space 3} .0808754
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull + treatfull_urbanarea = 0{p_end}

{txt}       F(  1,   186) ={res}    0.12
{txt}{col 13}Prob > F ={res}    0.7265
{txt}
{com}. 
.         
.         * Subgroup Effects: Presence of NGO
.         
.         foreach x in `indices' {c -(}
{txt}  2{com}.         
.                 areg e_`x' treatfull treatfull_ngo_hc b_ngo_hc b_`x' b_`x'_d `e_controls_tfull' `treatfull_int_e_controls', robust cl(hc_id) a(district)
{txt}  3{com}.                 eststo e_`x'_ngo
{txt}  4{com}.                 local n_ngo_`x' = string(e(N),"%9.0fc")
{txt}  5{com}.                 local r2_ngo_`x' = string(e(r2),"%9.3fc")
{txt}  6{com}.                 
.                 lincom treatfull + treatfull_ngo_hc
{txt}  7{com}.                 local est_ngo_`x' = r(estimate)
{txt}  8{com}.                 local se_ngo_`x' = r(se)
{txt}  9{com}.                 test treatfull + treatfull_ngo_hc = 0
{txt} 10{com}.                 local p_ngo_`x' = r(p)
{txt} 11{com}.                 
.                 local est_bngo_`x' = string(_b[treatfull],"%9.3fc")
{txt} 12{com}.                 local se_bngo_`x' = string(_se[treatfull],"%9.3fc")
{txt} 13{com}.                 local p_bngo_`x' = (2 * ttail(e(df_r), abs(_b[treatfull]/_se[treatfull])))
{txt} 14{com}.                 
.                 local est_tmxngo_`x' = string(_b[treatfull_ngo_hc],"%9.3fc")
{txt} 15{com}.                 local se_tmxngo_`x' = string(_se[treatfull_ngo_hc],"%9.3fc")
{txt} 16{com}.                 local p_tmxngo_`x' = (2 * ttail(e(df_r), abs(_b[treatfull_ngo_hc]/_se[treatfull_ngo_hc])))
{txt} 17{com}.                 
.                 local est_smngo_`x' = string(_b[b_ngo_hc],"%9.3fc")
{txt} 18{com}.                 local se_smngo_`x' = string(_se[b_ngo_hc],"%9.3fc")
{txt} 19{com}.                 local p_smngo_`x' = (2 * ttail(e(df_r), abs(_b[b_ngo_hc]/_se[b_ngo_hc])))
{txt} 20{com}.                 
.                 local est_cngo_`x' = string(_b[_cons],"%9.3fc")
{txt} 21{com}.                 local se_cngo_`x' = string(_se[_cons],"%9.3fc")
{txt} 22{com}.                 local p_cngo_`x' = (2 * ttail(e(df_r), abs(_b[_cons]/_se[_cons])))
{txt} 23{com}.                 
.                 foreach var in bngo tmxngo smngo cngo {c -(}
{txt} 24{com}.                 
.                         gen sign_`var'_zero_`x' = (`p_`var'_`x''>0.1)
{txt} 25{com}.                         gen sign_`var'_p1s_`x' = (`p_`var'_`x''<=0.1 & `p_`var'_`x''>0.05 & `est_`var'_`x''>0)
{txt} 26{com}.                         gen sign_`var'_p2s_`x' = (`p_`var'_`x''<=0.05 & `p_`var'_`x''>0.01 & `est_`var'_`x''>0)
{txt} 27{com}.                         gen sign_`var'_p3s_`x' = (`p_`var'_`x''<=0.01 & `p_`var'_`x''>=0 & `est_`var'_`x''>0)
{txt} 28{com}.                         gen sign_`var'_m1s_`x' = (`p_`var'_`x''<=0.1 & `p_`var'_`x''>0.05 & `est_`var'_`x''<0)
{txt} 29{com}.                         gen sign_`var'_m2s_`x' = (`p_`var'_`x''<=0.05 & `p_`var'_`x''>0.01 & `est_`var'_`x''<0)
{txt} 30{com}.                         gen sign_`var'_m3s_`x' = (`p_`var'_`x''<=0.01 & `p_`var'_`x''>=0 & `est_`var'_`x''<0)
{txt} 31{com}.                         
.                         if sign_`var'_p1s_`x' == 1 {c -(}
{txt} 32{com}.                                         local sign_`var'_`x' = "\cellcolor[HTML]{c -(}EFEFEF{c )-}+"
{txt} 33{com}.                                         local est_`var'_`x' = "`est_`var'_`x''*"
{txt} 34{com}.                                         {c )-}
{txt} 35{com}.                                         
.                         if sign_`var'_p2s_`x' == 1 {c -(}    
{txt} 36{com}.                                         local sign_`var'_`x' = "\cellcolor[HTML]{c -(}C0C0C0{c )-}+"
{txt} 37{com}.                                         local est_`var'_`x' = "`est_`var'_`x''**"
{txt} 38{com}.                                         {c )-}
{txt} 39{com}.                                         
.                         if sign_`var'_p3s_`x' == 1 {c -(}    
{txt} 40{com}.                                         local sign_`var'_`x' = "\cellcolor[HTML]{c -(}9B9B9B{c )-}+"
{txt} 41{com}.                                         local est_`var'_`x' = "`est_`var'_`x''***"
{txt} 42{com}.                                         {c )-}
{txt} 43{com}.                                 
.                         if sign_`var'_m1s_`x' == 1 {c -(}
{txt} 44{com}.                                         local sign_`var'_`x' = "\cellcolor[HTML]{c -(}EFEFEF{c )-}-"
{txt} 45{com}.                                         local est_`var'_`x' = "`est_`var'_`x''*"
{txt} 46{com}.                                         {c )-}
{txt} 47{com}.                                         
.                         if sign_`var'_m2s_`x' == 1 {c -(}    
{txt} 48{com}.                                         local sign_`var'_`x' = "\cellcolor[HTML]{c -(}C0C0C0{c )-}-"
{txt} 49{com}.                                         local est_`var'_`x' = "`est_`var'_`x''**"
{txt} 50{com}.                                         {c )-}
{txt} 51{com}.                                         
.                         if sign_`var'_m3s_`x' == 1 {c -(}    
{txt} 52{com}.                                         local sign_`var'_`x' = "\cellcolor[HTML]{c -(}9B9B9B{c )-}-"
{txt} 53{com}.                                         local est_`var'_`x' = "`est_`var'_`x''***"
{txt} 54{com}.                                         {c )-}
{txt} 55{com}.                                 
.                         if sign_`var'_zero_`x' == 1 {c -(}
{txt} 56{com}.                                 local sign_`var'_`x' = "0"
{txt} 57{com}.                                 {c )-}
{txt} 58{com}.                                 
.                         {c )-}
{txt} 59{com}.                         
.                 gen sign_ngo_zero_`x' = (`p_ngo_`x''>0.1)
{txt} 60{com}.                 gen sign_ngo_p1s_`x' = (`p_ngo_`x''<=0.1 & `p_ngo_`x''>0.05 & `est_ngo_`x''>0)
{txt} 61{com}.                 gen sign_ngo_p2s_`x' = (`p_ngo_`x''<=0.05 & `p_ngo_`x''>0.01 & `est_ngo_`x''>0)
{txt} 62{com}.                 gen sign_ngo_p3s_`x' = (`p_ngo_`x''<=0.01 & `p_ngo_`x''>=0 & `est_ngo_`x''>0)
{txt} 63{com}.                 gen sign_ngo_m1s_`x' = (`p_ngo_`x''<=0.1 & `p_ngo_`x''>0.05 & `est_ngo_`x''<0)
{txt} 64{com}.                 gen sign_ngo_m2s_`x' = (`p_ngo_`x''<=0.05 & `p_ngo_`x''>0.01 & `est_ngo_`x''<0)
{txt} 65{com}.                 gen sign_ngo_m3s_`x' = (`p_ngo_`x''<=0.01 & `p_ngo_`x''>=0 & `est_ngo_`x''<0)
{txt} 66{com}.                 
.                 local p_ngo_`x' = string(`p_ngo_`x'',"%9.3fc")
{txt} 67{com}.                 local est_ngo_`x' = string(`est_ngo_`x'',"%9.3fc")
{txt} 68{com}.                 local se_ngo_`x' = string(`se_ngo_`x'',"%9.3fc")
{txt} 69{com}.                 
.                 if sign_ngo_p1s_`x' == 1 {c -(}
{txt} 70{com}.                                 local sign_ngo_`x' = "\cellcolor[HTML]{c -(}EFEFEF{c )-}+"
{txt} 71{com}.                                 local est_ngo_`x' = "`est_ngo_`x''*"
{txt} 72{com}.                                 {c )-}
{txt} 73{com}.                                 
.                 if sign_ngo_p2s_`x' == 1 {c -(}      
{txt} 74{com}.                                 local sign_ngo_`x' = "\cellcolor[HTML]{c -(}C0C0C0{c )-}+"
{txt} 75{com}.                                 local est_ngo_`x' = "`est_ngo_`x''**"
{txt} 76{com}.                                 {c )-}
{txt} 77{com}.                                 
.                 if sign_ngo_p3s_`x' == 1 {c -(}      
{txt} 78{com}.                                 local sign_ngo_`x' = "\cellcolor[HTML]{c -(}9B9B9B{c )-}+"
{txt} 79{com}.                                 local est_ngo_`x' = "`est_ngo_`x''***"
{txt} 80{com}.                                 {c )-}
{txt} 81{com}.                         
.                 if sign_ngo_m1s_`x' == 1 {c -(}
{txt} 82{com}.                                 local sign_ngo_`x' = "\cellcolor[HTML]{c -(}EFEFEF{c )-}-"
{txt} 83{com}.                                 local est_ngo_`x' = "`est_ngo_`x''*"
{txt} 84{com}.                                 {c )-}
{txt} 85{com}.                                 
.                 if sign_ngo_m2s_`x' == 1 {c -(}      
{txt} 86{com}.                                 local sign_ngo_`x' = "\cellcolor[HTML]{c -(}C0C0C0{c )-}-"
{txt} 87{com}.                                 local est_ngo_`x' = "`est_ngo_`x''**"
{txt} 88{com}.                                 {c )-}
{txt} 89{com}.                                 
.                 if sign_ngo_m3s_`x' == 1 {c -(}      
{txt} 90{com}.                                 local sign_ngo_`x' = "\cellcolor[HTML]{c -(}9B9B9B{c )-}-"
{txt} 91{com}.                                 local est_ngo_`x' = "`est_ngo_`x''***"
{txt} 92{com}.                                 {c )-}
{txt} 93{com}.                         
.                 if sign_ngo_zero_`x' == 1 {c -(}
{txt} 94{com}.                         local sign_ngo_`x' = "0"
{txt} 95{com}.                         {c )-}
{txt} 96{com}.                         
.                 drop sign_*
{txt} 97{com}. 
.                 {c )-}
{txt}note: b_urate_z_d omitted because of collinearity
{res}
{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}     7,288
{txt}{col 49}F({res}  10{txt},{res}    186{txt}){col 67}= {res}     82.14
{txt}{col 49}Prob > F{col 67}= {res}    0.0000
{txt}{col 49}R-squared{col 67}= {res}    0.2300
{txt}{col 49}Adj R-squared{col 67}= {res}    0.2274
{txt}{col 49}Root MSE{col 67}= {res}    0.6613

{txt}{ralign 78:(Std. Err. adjusted for {res:187} clusters in hc_id)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}   e_urate_z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2} .0480912{col 26}{space 2} .0338372{col 37}{space 1}    1.42{col 46}{space 3}0.157{col 54}{space 4}-.0186628{col 67}{space 3} .1148453
{txt}treatfu~o_hc {c |}{col 14}{res}{space 2}-.0350233{col 26}{space 2}   .04891{col 37}{space 1}   -0.72{col 46}{space 3}0.475{col 54}{space 4} -.131513{col 67}{space 3} .0614663
{txt}{space 4}b_ngo_hc {c |}{col 14}{res}{space 2} .0239918{col 26}{space 2} .0343129{col 37}{space 1}    0.70{col 46}{space 3}0.485{col 54}{space 4}-.0437006{col 67}{space 3} .0916843
{txt}{space 3}b_urate_z {c |}{col 14}{res}{space 2} .3553361{col 26}{space 2} .0144119{col 37}{space 1}   24.66{col 46}{space 3}0.000{col 54}{space 4} .3269044{col 67}{space 3} .3837679
{txt}{space 1}b_urate_z_d {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
c_tfull_b_~d {c |}{col 14}{res}{space 2} .1612575{col 26}{space 2} .0568233{col 37}{space 1}    2.84{col 46}{space 3}0.005{col 54}{space 4} .0491564{col 67}{space 3} .2733585
{txt}c_tfull_ed~r {c |}{col 14}{res}{space 2}-.0127805{col 26}{space 2} .0028571{col 37}{space 1}   -4.47{col 46}{space 3}0.000{col 54}{space 4} -.018417{col 67}{space 3}-.0071439
{txt}c_tfull_b_~x {c |}{col 14}{res}{space 2}-.0417398{col 26}{space 2} .0131541{col 37}{space 1}   -3.17{col 46}{space 3}0.002{col 54}{space 4}-.0676902{col 67}{space 3}-.0157894
{txt}c_treatful.. {c |}{col 14}{res}{space 2}-.0317276{col 26}{space 2} .0798414{col 37}{space 1}   -0.40{col 46}{space 3}0.692{col 54}{space 4}-.1892387{col 67}{space 3} .1257834
{txt}c_treatful.. {c |}{col 14}{res}{space 2} .0027137{col 26}{space 2} .0041514{col 37}{space 1}    0.65{col 46}{space 3}0.514{col 54}{space 4}-.0054763{col 67}{space 3} .0109036
{txt}c_treatful.. {c |}{col 14}{res}{space 2}-.0082605{col 26}{space 2} .0190472{col 37}{space 1}   -0.43{col 46}{space 3}0.665{col 54}{space 4}-.0458368{col 67}{space 3} .0293159
{txt}{space 7}_cons {c |}{col 14}{res}{space 2}-.0344705{col 26}{space 2} .0261012{col 37}{space 1}   -1.32{col 46}{space 3}0.188{col 54}{space 4} -.085963{col 67}{space 3} .0170219
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull + treatfull_ngo_hc = 0{p_end}

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}   e_urate_z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}(1) {c |}{col 14}{res}{space 2} .0130679{col 26}{space 2} .0317787{col 37}{space 1}    0.41{col 46}{space 3}0.681{col 54}{space 4}-.0496252{col 67}{space 3}  .075761
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull + treatfull_ngo_hc = 0{p_end}

{txt}       F(  1,   186) ={res}    0.17
{txt}{col 13}Prob > F ={res}    0.6814
{txt}note: b_treatqual_z_d omitted because of collinearity
{res}
{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}     7,288
{txt}{col 49}F({res}  10{txt},{res}    186{txt}){col 67}= {res}      5.69
{txt}{col 49}Prob > F{col 67}= {res}    0.0000
{txt}{col 49}R-squared{col 67}= {res}    0.0972
{txt}{col 49}Adj R-squared{col 67}= {res}    0.0940
{txt}{col 49}Root MSE{col 67}= {res}    0.3523

{txt}{ralign 78:(Std. Err. adjusted for {res:187} clusters in hc_id)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}e_treatq~l_z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2} .0242877{col 26}{space 2}  .042237{col 37}{space 1}    0.58{col 46}{space 3}0.566{col 54}{space 4}-.0590375{col 67}{space 3} .1076128
{txt}treatfu~o_hc {c |}{col 14}{res}{space 2} .0732876{col 26}{space 2} .0570598{col 37}{space 1}    1.28{col 46}{space 3}0.201{col 54}{space 4}  -.03928{col 67}{space 3} .1858553
{txt}{space 4}b_ngo_hc {c |}{col 14}{res}{space 2}-.0833813{col 26}{space 2}  .045214{col 37}{space 1}   -1.84{col 46}{space 3}0.067{col 54}{space 4}-.1725794{col 67}{space 3} .0058168
{txt}b_treatq~l_z {c |}{col 14}{res}{space 2} .1011149{col 26}{space 2} .0204203{col 37}{space 1}    4.95{col 46}{space 3}0.000{col 54}{space 4} .0608297{col 67}{space 3}    .1414
{txt}b_trea~l_z_d {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
c_tfull_b_~d {c |}{col 14}{res}{space 2} .0188177{col 26}{space 2} .0237376{col 37}{space 1}    0.79{col 46}{space 3}0.429{col 54}{space 4}-.0280119{col 67}{space 3} .0656474
{txt}c_tfull_ed~r {c |}{col 14}{res}{space 2}-.0018901{col 26}{space 2} .0016395{col 37}{space 1}   -1.15{col 46}{space 3}0.250{col 54}{space 4}-.0051245{col 67}{space 3} .0013442
{txt}c_tfull_b_~x {c |}{col 14}{res}{space 2} .0040944{col 26}{space 2}  .009228{col 37}{space 1}    0.44{col 46}{space 3}0.658{col 54}{space 4}-.0141105{col 67}{space 3} .0222994
{txt}c_treatful.. {c |}{col 14}{res}{space 2} .0365414{col 26}{space 2} .0325495{col 37}{space 1}    1.12{col 46}{space 3}0.263{col 54}{space 4}-.0276724{col 67}{space 3} .1007551
{txt}c_treatful.. {c |}{col 14}{res}{space 2} .0019202{col 26}{space 2} .0022653{col 37}{space 1}    0.85{col 46}{space 3}0.398{col 54}{space 4}-.0025488{col 67}{space 3} .0063893
{txt}c_treatful.. {c |}{col 14}{res}{space 2}-.0253283{col 26}{space 2} .0142311{col 37}{space 1}   -1.78{col 46}{space 3}0.077{col 54}{space 4}-.0534034{col 67}{space 3} .0027468
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} .0510809{col 26}{space 2} .0348021{col 37}{space 1}    1.47{col 46}{space 3}0.144{col 54}{space 4}-.0175767{col 67}{space 3} .1197384
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull + treatfull_ngo_hc = 0{p_end}

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}e_treatq~l_z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}(1) {c |}{col 14}{res}{space 2} .0975753{col 26}{space 2} .0355514{col 37}{space 1}    2.74{col 46}{space 3}0.007{col 54}{space 4} .0274394{col 67}{space 3} .1677112
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull + treatfull_ngo_hc = 0{p_end}

{txt}       F(  1,   186) ={res}    7.53
{txt}{col 13}Prob > F ={res}    0.0067
{txt}note: b_patsat_z_d omitted because of collinearity
{res}
{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}     7,288
{txt}{col 49}F({res}  10{txt},{res}    186{txt}){col 67}= {res}     11.71
{txt}{col 49}Prob > F{col 67}= {res}    0.0000
{txt}{col 49}R-squared{col 67}= {res}    0.0379
{txt}{col 49}Adj R-squared{col 67}= {res}    0.0346
{txt}{col 49}Root MSE{col 67}= {res}    0.5875

{txt}{ralign 78:(Std. Err. adjusted for {res:187} clusters in hc_id)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}  e_patsat_z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2} .1118486{col 26}{space 2}  .037749{col 37}{space 1}    2.96{col 46}{space 3}0.003{col 54}{space 4} .0373774{col 67}{space 3} .1863199
{txt}treatfu~o_hc {c |}{col 14}{res}{space 2}-.0638569{col 26}{space 2} .0530268{col 37}{space 1}   -1.20{col 46}{space 3}0.230{col 54}{space 4}-.1684681{col 67}{space 3} .0407543
{txt}{space 4}b_ngo_hc {c |}{col 14}{res}{space 2} .0325233{col 26}{space 2} .0412924{col 37}{space 1}    0.79{col 46}{space 3}0.432{col 54}{space 4}-.0489384{col 67}{space 3}  .113985
{txt}{space 2}b_patsat_z {c |}{col 14}{res}{space 2} .1402346{col 26}{space 2} .0152422{col 37}{space 1}    9.20{col 46}{space 3}0.000{col 54}{space 4} .1101648{col 67}{space 3} .1703044
{txt}b_patsat_z_d {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
c_tfull_b_~d {c |}{col 14}{res}{space 2} .0047267{col 26}{space 2} .0419065{col 37}{space 1}    0.11{col 46}{space 3}0.910{col 54}{space 4}-.0779464{col 67}{space 3} .0873998
{txt}c_tfull_ed~r {c |}{col 14}{res}{space 2} .0022992{col 26}{space 2} .0027227{col 37}{space 1}    0.84{col 46}{space 3}0.399{col 54}{space 4}-.0030721{col 67}{space 3} .0076705
{txt}c_tfull_b_~x {c |}{col 14}{res}{space 2} .0079054{col 26}{space 2} .0103375{col 37}{space 1}    0.76{col 46}{space 3}0.445{col 54}{space 4}-.0124884{col 67}{space 3} .0282993
{txt}c_treatful.. {c |}{col 14}{res}{space 2}-.0265548{col 26}{space 2} .0511818{col 37}{space 1}   -0.52{col 46}{space 3}0.604{col 54}{space 4}-.1275262{col 67}{space 3} .0744167
{txt}c_treatful.. {c |}{col 14}{res}{space 2}  .002677{col 26}{space 2} .0036453{col 37}{space 1}    0.73{col 46}{space 3}0.464{col 54}{space 4}-.0045144{col 67}{space 3} .0098685
{txt}c_treatful.. {c |}{col 14}{res}{space 2}-.0128168{col 26}{space 2} .0145914{col 37}{space 1}   -0.88{col 46}{space 3}0.381{col 54}{space 4}-.0416028{col 67}{space 3} .0159691
{txt}{space 7}_cons {c |}{col 14}{res}{space 2}-.0210194{col 26}{space 2} .0317249{col 37}{space 1}   -0.66{col 46}{space 3}0.508{col 54}{space 4}-.0836062{col 67}{space 3} .0415675
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull + treatfull_ngo_hc = 0{p_end}

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}  e_patsat_z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}(1) {c |}{col 14}{res}{space 2} .0479917{col 26}{space 2}  .034895{col 37}{space 1}    1.38{col 46}{space 3}0.171{col 54}{space 4}-.0208491{col 67}{space 3} .1168326
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull + treatfull_ngo_hc = 0{p_end}

{txt}       F(  1,   186) ={res}    1.89
{txt}{col 13}Prob > F ={res}    0.1707
{txt}note: b_commtg_z_d omitted because of collinearity
{res}
{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}     7,288
{txt}{col 49}F({res}  10{txt},{res}    186{txt}){col 67}= {res}      8.81
{txt}{col 49}Prob > F{col 67}= {res}    0.0000
{txt}{col 49}R-squared{col 67}= {res}    0.0924
{txt}{col 49}Adj R-squared{col 67}= {res}    0.0893
{txt}{col 49}Root MSE{col 67}= {res}    0.5601

{txt}{ralign 78:(Std. Err. adjusted for {res:187} clusters in hc_id)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}  e_commtg_z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2} .0427636{col 26}{space 2} .0412765{col 37}{space 1}    1.04{col 46}{space 3}0.302{col 54}{space 4}-.0386667{col 67}{space 3} .1241939
{txt}treatfu~o_hc {c |}{col 14}{res}{space 2}-.0684773{col 26}{space 2} .0618655{col 37}{space 1}   -1.11{col 46}{space 3}0.270{col 54}{space 4}-.1905254{col 67}{space 3} .0535709
{txt}{space 4}b_ngo_hc {c |}{col 14}{res}{space 2}-.0063491{col 26}{space 2} .0431147{col 37}{space 1}   -0.15{col 46}{space 3}0.883{col 54}{space 4}-.0914058{col 67}{space 3} .0787076
{txt}{space 2}b_commtg_z {c |}{col 14}{res}{space 2} .0814527{col 26}{space 2}  .013435{col 37}{space 1}    6.06{col 46}{space 3}0.000{col 54}{space 4} .0549482{col 67}{space 3} .1079572
{txt}b_commtg_z_d {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
c_tfull_b_~d {c |}{col 14}{res}{space 2} .0403634{col 26}{space 2} .0498547{col 37}{space 1}    0.81{col 46}{space 3}0.419{col 54}{space 4}-.0579899{col 67}{space 3} .1387167
{txt}c_tfull_ed~r {c |}{col 14}{res}{space 2} .0033555{col 26}{space 2} .0024452{col 37}{space 1}    1.37{col 46}{space 3}0.172{col 54}{space 4}-.0014684{col 67}{space 3} .0081794
{txt}c_tfull_b_~x {c |}{col 14}{res}{space 2} .0262909{col 26}{space 2} .0116217{col 37}{space 1}    2.26{col 46}{space 3}0.025{col 54}{space 4} .0033637{col 67}{space 3} .0492182
{txt}c_treatful.. {c |}{col 14}{res}{space 2}  .102751{col 26}{space 2} .0670566{col 37}{space 1}    1.53{col 46}{space 3}0.127{col 54}{space 4}-.0295383{col 67}{space 3} .2350404
{txt}c_treatful.. {c |}{col 14}{res}{space 2} .0013754{col 26}{space 2} .0035335{col 37}{space 1}    0.39{col 46}{space 3}0.698{col 54}{space 4}-.0055955{col 67}{space 3} .0083463
{txt}c_treatful.. {c |}{col 14}{res}{space 2}-.0064284{col 26}{space 2}  .019006{col 37}{space 1}   -0.34{col 46}{space 3}0.736{col 54}{space 4}-.0439234{col 67}{space 3} .0310666
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} .0063491{col 26}{space 2} .0300633{col 37}{space 1}    0.21{col 46}{space 3}0.833{col 54}{space 4}-.0529598{col 67}{space 3} .0656579
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull + treatfull_ngo_hc = 0{p_end}

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}  e_commtg_z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}(1) {c |}{col 14}{res}{space 2}-.0257137{col 26}{space 2} .0422399{col 37}{space 1}   -0.61{col 46}{space 3}0.543{col 54}{space 4}-.1090446{col 67}{space 3} .0576172
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull + treatfull_ngo_hc = 0{p_end}

{txt}       F(  1,   186) ={res}    0.37
{txt}{col 13}Prob > F ={res}    0.5434
{txt}
{com}.                 
.         * Subgroup Effects: Baseline U5M
.         
.         foreach x in `indices' {c -(}
{txt}  2{com}.         
.                 areg e_`x' treatfull treatfull_u5m_hc b_h_u5mortality_med_d b_`x' b_`x'_d `e_controls_tfull' `treatfull_int_e_controls', robust cl(hc_id) a(district)
{txt}  3{com}.                 eststo e_`x'_u5m
{txt}  4{com}.                 local n_u5m_`x' = string(e(N),"%9.0fc")
{txt}  5{com}.                 local r2_u5m_`x' = string(e(r2),"%9.3fc")
{txt}  6{com}.                 
.                 lincom treatfull + treatfull_u5m_hc
{txt}  7{com}.                 local est_u5m_`x' = r(estimate)
{txt}  8{com}.                 local se_u5m_`x' = r(se)
{txt}  9{com}.                 test treatfull + treatfull_u5m_hc = 0
{txt} 10{com}.                 local p_u5m_`x' = r(p)
{txt} 11{com}.                 
.                 local est_bu5m_`x' = string(_b[treatfull],"%9.3fc")
{txt} 12{com}.                 local se_bu5m_`x' = string(_se[treatfull],"%9.3fc")
{txt} 13{com}.                 local p_bu5m_`x' = (2 * ttail(e(df_r), abs(_b[treatfull]/_se[treatfull])))
{txt} 14{com}.                 
.                 local est_tmxu5m_`x' = string(_b[treatfull_u5m_hc],"%9.3fc")
{txt} 15{com}.                 local se_tmxu5m_`x' = string(_se[treatfull_u5m_hc],"%9.3fc")
{txt} 16{com}.                 local p_tmxu5m_`x' = (2 * ttail(e(df_r), abs(_b[treatfull_u5m_hc]/_se[treatfull_u5m_hc])))
{txt} 17{com}.                 
.                 local est_smu5m_`x' = string(_b[b_h_u5mortality_med_d],"%9.3fc")
{txt} 18{com}.                 local se_smu5m_`x' = string(_se[b_h_u5mortality_med_d],"%9.3fc")
{txt} 19{com}.                 local p_smu5m_`x' = (2 * ttail(e(df_r), abs(_b[b_h_u5mortality_med_d]/_se[b_h_u5mortality_med_d])))
{txt} 20{com}.                 
.                 local est_cu5m_`x' = string(_b[_cons],"%9.3fc")
{txt} 21{com}.                 local se_cu5m_`x' = string(_se[_cons],"%9.3fc")
{txt} 22{com}.                 local p_cu5m_`x' = (2 * ttail(e(df_r), abs(_b[_cons]/_se[_cons])))
{txt} 23{com}.                 
.                 foreach var in bu5m tmxu5m smu5m cu5m {c -(}
{txt} 24{com}.                 
.                         gen sign_`var'_zero_`x' = (`p_`var'_`x''>0.1)
{txt} 25{com}.                         gen sign_`var'_p1s_`x' = (`p_`var'_`x''<=0.1 & `p_`var'_`x''>0.05 & `est_`var'_`x''>0)
{txt} 26{com}.                         gen sign_`var'_p2s_`x' = (`p_`var'_`x''<=0.05 & `p_`var'_`x''>0.01 & `est_`var'_`x''>0)
{txt} 27{com}.                         gen sign_`var'_p3s_`x' = (`p_`var'_`x''<=0.01 & `p_`var'_`x''>=0 & `est_`var'_`x''>0)
{txt} 28{com}.                         gen sign_`var'_m1s_`x' = (`p_`var'_`x''<=0.1 & `p_`var'_`x''>0.05 & `est_`var'_`x''<0)
{txt} 29{com}.                         gen sign_`var'_m2s_`x' = (`p_`var'_`x''<=0.05 & `p_`var'_`x''>0.01 & `est_`var'_`x''<0)
{txt} 30{com}.                         gen sign_`var'_m3s_`x' = (`p_`var'_`x''<=0.01 & `p_`var'_`x''>=0 & `est_`var'_`x''<0)
{txt} 31{com}.                         
.                         if sign_`var'_p1s_`x' == 1 {c -(}
{txt} 32{com}.                                         local sign_`var'_`x' = "\cellcolor[HTML]{c -(}EFEFEF{c )-}+"
{txt} 33{com}.                                         local est_`var'_`x' = "`est_`var'_`x''*"
{txt} 34{com}.                                         {c )-}
{txt} 35{com}.                                         
.                         if sign_`var'_p2s_`x' == 1 {c -(}    
{txt} 36{com}.                                         local sign_`var'_`x' = "\cellcolor[HTML]{c -(}C0C0C0{c )-}+"
{txt} 37{com}.                                         local est_`var'_`x' = "`est_`var'_`x''**"
{txt} 38{com}.                                         {c )-}
{txt} 39{com}.                                         
.                         if sign_`var'_p3s_`x' == 1 {c -(}    
{txt} 40{com}.                                         local sign_`var'_`x' = "\cellcolor[HTML]{c -(}9B9B9B{c )-}+"
{txt} 41{com}.                                         local est_`var'_`x' = "`est_`var'_`x''***"
{txt} 42{com}.                                         {c )-}
{txt} 43{com}.                                 
.                         if sign_`var'_m1s_`x' == 1 {c -(}
{txt} 44{com}.                                         local sign_`var'_`x' = "\cellcolor[HTML]{c -(}EFEFEF{c )-}-"
{txt} 45{com}.                                         local est_`var'_`x' = "`est_`var'_`x''*"
{txt} 46{com}.                                         {c )-}
{txt} 47{com}.                                         
.                         if sign_`var'_m2s_`x' == 1 {c -(}    
{txt} 48{com}.                                         local sign_`var'_`x' = "\cellcolor[HTML]{c -(}C0C0C0{c )-}-"
{txt} 49{com}.                                         local est_`var'_`x' = "`est_`var'_`x''**"
{txt} 50{com}.                                         {c )-}
{txt} 51{com}.                                         
.                         if sign_`var'_m3s_`x' == 1 {c -(}    
{txt} 52{com}.                                         local sign_`var'_`x' = "\cellcolor[HTML]{c -(}9B9B9B{c )-}-"
{txt} 53{com}.                                         local est_`var'_`x' = "`est_`var'_`x''***"
{txt} 54{com}.                                         {c )-}
{txt} 55{com}.                                 
.                         if sign_`var'_zero_`x' == 1 {c -(}
{txt} 56{com}.                                 local sign_`var'_`x' = "0"
{txt} 57{com}.                                 {c )-}
{txt} 58{com}.                                 
.                         {c )-}
{txt} 59{com}.                         
.                 gen sign_u5m_zero_`x' = (`p_u5m_`x''>0.1)
{txt} 60{com}.                 gen sign_u5m_p1s_`x' = (`p_u5m_`x''<=0.1 & `p_u5m_`x''>0.05 & `est_u5m_`x''>0)
{txt} 61{com}.                 gen sign_u5m_p2s_`x' = (`p_u5m_`x''<=0.05 & `p_u5m_`x''>0.01 & `est_u5m_`x''>0)
{txt} 62{com}.                 gen sign_u5m_p3s_`x' = (`p_u5m_`x''<=0.01 & `p_u5m_`x''>=0 & `est_u5m_`x''>0)
{txt} 63{com}.                 gen sign_u5m_m1s_`x' = (`p_u5m_`x''<=0.1 & `p_u5m_`x''>0.05 & `est_u5m_`x''<0)
{txt} 64{com}.                 gen sign_u5m_m2s_`x' = (`p_u5m_`x''<=0.05 & `p_u5m_`x''>0.01 & `est_u5m_`x''<0)
{txt} 65{com}.                 gen sign_u5m_m3s_`x' = (`p_u5m_`x''<=0.01 & `p_u5m_`x''>=0 & `est_u5m_`x''<0)
{txt} 66{com}.                 
.                 local p_u5m_`x' = string(`p_u5m_`x'',"%9.3fc")
{txt} 67{com}.                 local est_u5m_`x' = string(`est_u5m_`x'',"%9.3fc")
{txt} 68{com}.                 local se_u5m_`x' = string(`se_u5m_`x'',"%9.3fc")
{txt} 69{com}.                 
.                 if sign_u5m_p1s_`x' == 1 {c -(}
{txt} 70{com}.                                 local sign_u5m_`x' = "\cellcolor[HTML]{c -(}EFEFEF{c )-}+"
{txt} 71{com}.                                 local est_u5m_`x' = "`est_u5m_`x''*"
{txt} 72{com}.                                 {c )-}
{txt} 73{com}.                                 
.                 if sign_u5m_p2s_`x' == 1 {c -(}      
{txt} 74{com}.                                 local sign_u5m_`x' = "\cellcolor[HTML]{c -(}C0C0C0{c )-}+"
{txt} 75{com}.                                 local est_u5m_`x' = "`est_u5m_`x''**"
{txt} 76{com}.                                 {c )-}
{txt} 77{com}.                                 
.                 if sign_u5m_p3s_`x' == 1 {c -(}      
{txt} 78{com}.                                 local sign_u5m_`x' = "\cellcolor[HTML]{c -(}9B9B9B{c )-}+"
{txt} 79{com}.                                 local est_u5m_`x' = "`est_u5m_`x''***"
{txt} 80{com}.                                 {c )-}
{txt} 81{com}.                         
.                 if sign_u5m_m1s_`x' == 1 {c -(}
{txt} 82{com}.                                 local sign_u5m_`x' = "\cellcolor[HTML]{c -(}EFEFEF{c )-}-"
{txt} 83{com}.                                 local est_u5m_`x' = "`est_u5m_`x''*"
{txt} 84{com}.                                 {c )-}
{txt} 85{com}.                                 
.                 if sign_u5m_m2s_`x' == 1 {c -(}      
{txt} 86{com}.                                 local sign_u5m_`x' = "\cellcolor[HTML]{c -(}C0C0C0{c )-}-"
{txt} 87{com}.                                 local est_u5m_`x' = "`est_u5m_`x''**"
{txt} 88{com}.                                 {c )-}
{txt} 89{com}.                                 
.                 if sign_u5m_m3s_`x' == 1 {c -(}      
{txt} 90{com}.                                 local sign_u5m_`x' = "\cellcolor[HTML]{c -(}9B9B9B{c )-}-"
{txt} 91{com}.                                 local est_u5m_`x' = "`est_u5m_`x''***"
{txt} 92{com}.                                 {c )-}
{txt} 93{com}.                         
.                 if sign_u5m_zero_`x' == 1 {c -(}
{txt} 94{com}.                         local sign_u5m_`x' = "0"
{txt} 95{com}.                         {c )-}
{txt} 96{com}.                         
.                 drop sign_*
{txt} 97{com}. 
.                 {c )-}
{txt}note: b_urate_z_d omitted because of collinearity
{res}
{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}     7,288
{txt}{col 49}F({res}  10{txt},{res}    186{txt}){col 67}= {res}     79.62
{txt}{col 49}Prob > F{col 67}= {res}    0.0000
{txt}{col 49}R-squared{col 67}= {res}    0.2303
{txt}{col 49}Adj R-squared{col 67}= {res}    0.2276
{txt}{col 49}Root MSE{col 67}= {res}    0.6612

{txt}{ralign 78:(Std. Err. adjusted for {res:187} clusters in hc_id)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}   e_urate_z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2}-.0343531{col 26}{space 2} .0590673{col 37}{space 1}   -0.58{col 46}{space 3}0.562{col 54}{space 4} -.150881{col 67}{space 3} .0821748
{txt}treatfu~m_hc {c |}{col 14}{res}{space 2} .0733725{col 26}{space 2} .0640501{col 37}{space 1}    1.15{col 46}{space 3}0.253{col 54}{space 4}-.0529855{col 67}{space 3} .1997305
{txt}b_h_u5mort~d {c |}{col 14}{res}{space 2}-.0092617{col 26}{space 2} .0511038{col 37}{space 1}   -0.18{col 46}{space 3}0.856{col 54}{space 4}-.1100794{col 67}{space 3} .0915559
{txt}{space 3}b_urate_z {c |}{col 14}{res}{space 2} .3561153{col 26}{space 2} .0145259{col 37}{space 1}   24.52{col 46}{space 3}0.000{col 54}{space 4} .3274587{col 67}{space 3}  .384772
{txt}{space 1}b_urate_z_d {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
c_tfull_b_~d {c |}{col 14}{res}{space 2} .1628191{col 26}{space 2} .0569416{col 37}{space 1}    2.86{col 46}{space 3}0.005{col 54}{space 4} .0504848{col 67}{space 3} .2751535
{txt}c_tfull_ed~r {c |}{col 14}{res}{space 2}-.0127514{col 26}{space 2} .0028479{col 37}{space 1}   -4.48{col 46}{space 3}0.000{col 54}{space 4}-.0183697{col 67}{space 3}-.0071332
{txt}c_tfull_b_~x {c |}{col 14}{res}{space 2}-.0415403{col 26}{space 2} .0130077{col 37}{space 1}   -3.19{col 46}{space 3}0.002{col 54}{space 4}-.0672018{col 67}{space 3}-.0158787
{txt}c_treatful.. {c |}{col 14}{res}{space 2}-.0383406{col 26}{space 2} .0803286{col 37}{space 1}   -0.48{col 46}{space 3}0.634{col 54}{space 4}-.1968129{col 67}{space 3} .1201318
{txt}c_treatful.. {c |}{col 14}{res}{space 2} .0027527{col 26}{space 2} .0041674{col 37}{space 1}    0.66{col 46}{space 3}0.510{col 54}{space 4}-.0054688{col 67}{space 3} .0109742
{txt}c_treatful.. {c |}{col 14}{res}{space 2}-.0085434{col 26}{space 2} .0190803{col 37}{space 1}   -0.45{col 46}{space 3}0.655{col 54}{space 4}-.0461851{col 67}{space 3} .0290982
{txt}{space 7}_cons {c |}{col 14}{res}{space 2}-.0121943{col 26}{space 2} .0462917{col 37}{space 1}   -0.26{col 46}{space 3}0.793{col 54}{space 4}-.1035185{col 67}{space 3} .0791299
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull + treatfull_u5m_hc = 0{p_end}

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}   e_urate_z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}(1) {c |}{col 14}{res}{space 2} .0390194{col 26}{space 2}  .023348{col 37}{space 1}    1.67{col 46}{space 3}0.096{col 54}{space 4}-.0070417{col 67}{space 3} .0850804
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull + treatfull_u5m_hc = 0{p_end}

{txt}       F(  1,   186) ={res}    2.79
{txt}{col 13}Prob > F ={res}    0.0964
{txt}note: b_treatqual_z_d omitted because of collinearity
{res}
{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}     7,288
{txt}{col 49}F({res}  10{txt},{res}    186{txt}){col 67}= {res}      6.17
{txt}{col 49}Prob > F{col 67}= {res}    0.0000
{txt}{col 49}R-squared{col 67}= {res}    0.0999
{txt}{col 49}Adj R-squared{col 67}= {res}    0.0968
{txt}{col 49}Root MSE{col 67}= {res}    0.3518

{txt}{ralign 78:(Std. Err. adjusted for {res:187} clusters in hc_id)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}e_treatq~l_z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2} .0530007{col 26}{space 2} .0665544{col 37}{space 1}    0.80{col 46}{space 3}0.427{col 54}{space 4}-.0782978{col 67}{space 3} .1842993
{txt}treatfu~m_hc {c |}{col 14}{res}{space 2} .0233495{col 26}{space 2} .0726122{col 37}{space 1}    0.32{col 46}{space 3}0.748{col 54}{space 4}-.1198999{col 67}{space 3} .1665989
{txt}b_h_u5mort~d {c |}{col 14}{res}{space 2} .1186219{col 26}{space 2}  .063779{col 37}{space 1}    1.86{col 46}{space 3}0.064{col 54}{space 4}-.0072012{col 67}{space 3} .2444451
{txt}b_treatq~l_z {c |}{col 14}{res}{space 2} .1100084{col 26}{space 2} .0198186{col 37}{space 1}    5.55{col 46}{space 3}0.000{col 54}{space 4} .0709104{col 67}{space 3} .1491065
{txt}b_trea~l_z_d {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
c_tfull_b_~d {c |}{col 14}{res}{space 2} .0087499{col 26}{space 2}  .022543{col 37}{space 1}    0.39{col 46}{space 3}0.698{col 54}{space 4}-.0357229{col 67}{space 3} .0532228
{txt}c_tfull_ed~r {c |}{col 14}{res}{space 2}-.0024955{col 26}{space 2} .0016735{col 37}{space 1}   -1.49{col 46}{space 3}0.138{col 54}{space 4} -.005797{col 67}{space 3} .0008061
{txt}c_tfull_b_~x {c |}{col 14}{res}{space 2} .0016641{col 26}{space 2}  .009234{col 37}{space 1}    0.18{col 46}{space 3}0.857{col 54}{space 4}-.0165528{col 67}{space 3}  .019881
{txt}c_treatful.. {c |}{col 14}{res}{space 2} .0399578{col 26}{space 2}  .031477{col 37}{space 1}    1.27{col 46}{space 3}0.206{col 54}{space 4}  -.02214{col 67}{space 3} .1020557
{txt}c_treatful.. {c |}{col 14}{res}{space 2} .0026585{col 26}{space 2} .0023229{col 37}{space 1}    1.14{col 46}{space 3}0.254{col 54}{space 4}-.0019241{col 67}{space 3}  .007241
{txt}c_treatful.. {c |}{col 14}{res}{space 2}-.0221932{col 26}{space 2} .0142078{col 37}{space 1}   -1.56{col 46}{space 3}0.120{col 54}{space 4}-.0502224{col 67}{space 3} .0058361
{txt}{space 7}_cons {c |}{col 14}{res}{space 2}-.1032231{col 26}{space 2} .0574841{col 37}{space 1}   -1.80{col 46}{space 3}0.074{col 54}{space 4}-.2166277{col 67}{space 3} .0101816
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull + treatfull_u5m_hc = 0{p_end}

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}e_treatq~l_z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}(1) {c |}{col 14}{res}{space 2} .0763502{col 26}{space 2} .0284243{col 37}{space 1}    2.69{col 46}{space 3}0.008{col 54}{space 4} .0202748{col 67}{space 3} .1324256
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull + treatfull_u5m_hc = 0{p_end}

{txt}       F(  1,   186) ={res}    7.22
{txt}{col 13}Prob > F ={res}    0.0079
{txt}note: b_patsat_z_d omitted because of collinearity
{res}
{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}     7,288
{txt}{col 49}F({res}  10{txt},{res}    186{txt}){col 67}= {res}     11.13
{txt}{col 49}Prob > F{col 67}= {res}    0.0000
{txt}{col 49}R-squared{col 67}= {res}    0.0378
{txt}{col 49}Adj R-squared{col 67}= {res}    0.0345
{txt}{col 49}Root MSE{col 67}= {res}    0.5875

{txt}{ralign 78:(Std. Err. adjusted for {res:187} clusters in hc_id)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}  e_patsat_z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2} .1277044{col 26}{space 2} .0735348{col 37}{space 1}    1.74{col 46}{space 3}0.084{col 54}{space 4}-.0173651{col 67}{space 3} .2727738
{txt}treatfu~m_hc {c |}{col 14}{res}{space 2} -.059169{col 26}{space 2}  .077556{col 37}{space 1}   -0.76{col 46}{space 3}0.446{col 54}{space 4}-.2121714{col 67}{space 3} .0938335
{txt}b_h_u5mort~d {c |}{col 14}{res}{space 2} .0687904{col 26}{space 2} .0777588{col 37}{space 1}    0.88{col 46}{space 3}0.377{col 54}{space 4}-.0846123{col 67}{space 3} .2221931
{txt}{space 2}b_patsat_z {c |}{col 14}{res}{space 2} .1382035{col 26}{space 2} .0149972{col 37}{space 1}    9.22{col 46}{space 3}0.000{col 54}{space 4} .1086171{col 67}{space 3} .1677899
{txt}b_patsat_z_d {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
c_tfull_b_~d {c |}{col 14}{res}{space 2} .0043863{col 26}{space 2} .0436705{col 37}{space 1}    0.10{col 46}{space 3}0.920{col 54}{space 4}-.0817668{col 67}{space 3} .0905395
{txt}c_tfull_ed~r {c |}{col 14}{res}{space 2} .0026027{col 26}{space 2} .0027134{col 37}{space 1}    0.96{col 46}{space 3}0.339{col 54}{space 4}-.0027503{col 67}{space 3} .0079557
{txt}c_tfull_b_~x {c |}{col 14}{res}{space 2} .0097985{col 26}{space 2} .0100354{col 37}{space 1}    0.98{col 46}{space 3}0.330{col 54}{space 4}-.0099992{col 67}{space 3} .0295963
{txt}c_treatful.. {c |}{col 14}{res}{space 2}-.0223807{col 26}{space 2} .0527362{col 37}{space 1}   -0.42{col 46}{space 3}0.672{col 54}{space 4}-.1264187{col 67}{space 3} .0816573
{txt}c_treatful.. {c |}{col 14}{res}{space 2} .0022453{col 26}{space 2} .0036379{col 37}{space 1}    0.62{col 46}{space 3}0.538{col 54}{space 4}-.0049316{col 67}{space 3} .0094223
{txt}c_treatful.. {c |}{col 14}{res}{space 2}-.0153579{col 26}{space 2} .0143447{col 37}{space 1}   -1.07{col 46}{space 3}0.286{col 54}{space 4}-.0436571{col 67}{space 3} .0129413
{txt}{space 7}_cons {c |}{col 14}{res}{space 2}-.0615666{col 26}{space 2} .0740368{col 37}{space 1}   -0.83{col 46}{space 3}0.407{col 54}{space 4}-.2076263{col 67}{space 3} .0844931
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull + treatfull_u5m_hc = 0{p_end}

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}  e_patsat_z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}(1) {c |}{col 14}{res}{space 2} .0685354{col 26}{space 2} .0260299{col 37}{space 1}    2.63{col 46}{space 3}0.009{col 54}{space 4} .0171836{col 67}{space 3} .1198872
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull + treatfull_u5m_hc = 0{p_end}

{txt}       F(  1,   186) ={res}    6.93
{txt}{col 13}Prob > F ={res}    0.0092
{txt}note: b_commtg_z_d omitted because of collinearity
{res}
{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}     7,288
{txt}{col 49}F({res}  10{txt},{res}    186{txt}){col 67}= {res}      7.73
{txt}{col 49}Prob > F{col 67}= {res}    0.0000
{txt}{col 49}R-squared{col 67}= {res}    0.0907
{txt}{col 49}Adj R-squared{col 67}= {res}    0.0876
{txt}{col 49}Root MSE{col 67}= {res}    0.5606

{txt}{ralign 78:(Std. Err. adjusted for {res:187} clusters in hc_id)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}  e_commtg_z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2}-.0276352{col 26}{space 2} .0741145{col 37}{space 1}   -0.37{col 46}{space 3}0.710{col 54}{space 4}-.1738482{col 67}{space 3} .1185779
{txt}treatfu~m_hc {c |}{col 14}{res}{space 2} .0403437{col 26}{space 2} .0809108{col 37}{space 1}    0.50{col 46}{space 3}0.619{col 54}{space 4}-.1192771{col 67}{space 3} .1999645
{txt}b_h_u5mort~d {c |}{col 14}{res}{space 2}-.0173324{col 26}{space 2} .0786593{col 37}{space 1}   -0.22{col 46}{space 3}0.826{col 54}{space 4}-.1725113{col 67}{space 3} .1378466
{txt}{space 2}b_commtg_z {c |}{col 14}{res}{space 2} .0811935{col 26}{space 2} .0135415{col 37}{space 1}    6.00{col 46}{space 3}0.000{col 54}{space 4} .0544789{col 67}{space 3} .1079081
{txt}b_commtg_z_d {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
c_tfull_b_~d {c |}{col 14}{res}{space 2} .0399056{col 26}{space 2} .0467243{col 37}{space 1}    0.85{col 46}{space 3}0.394{col 54}{space 4} -.052272{col 67}{space 3} .1320832
{txt}c_tfull_ed~r {c |}{col 14}{res}{space 2} .0033262{col 26}{space 2} .0024525{col 37}{space 1}    1.36{col 46}{space 3}0.177{col 54}{space 4}-.0015122{col 67}{space 3} .0081645
{txt}c_tfull_b_~x {c |}{col 14}{res}{space 2} .0255215{col 26}{space 2} .0117841{col 37}{space 1}    2.17{col 46}{space 3}0.032{col 54}{space 4} .0022739{col 67}{space 3} .0487691
{txt}c_treatful.. {c |}{col 14}{res}{space 2} .1067859{col 26}{space 2} .0638827{col 37}{space 1}    1.67{col 46}{space 3}0.096{col 54}{space 4} -.019242{col 67}{space 3} .2328137
{txt}c_treatful.. {c |}{col 14}{res}{space 2} .0010848{col 26}{space 2} .0035232{col 37}{space 1}    0.31{col 46}{space 3}0.759{col 54}{space 4}-.0058657{col 67}{space 3} .0080353
{txt}c_treatful.. {c |}{col 14}{res}{space 2}-.0051686{col 26}{space 2} .0192813{col 37}{space 1}   -0.27{col 46}{space 3}0.789{col 54}{space 4}-.0432068{col 67}{space 3} .0328696
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} .0175609{col 26}{space 2}  .069916{col 37}{space 1}    0.25{col 46}{space 3}0.802{col 54}{space 4}-.1203694{col 67}{space 3} .1554912
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull + treatfull_u5m_hc = 0{p_end}

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}  e_commtg_z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}(1) {c |}{col 14}{res}{space 2} .0127085{col 26}{space 2} .0310847{col 37}{space 1}    0.41{col 46}{space 3}0.683{col 54}{space 4}-.0486154{col 67}{space 3} .0740325
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull + treatfull_u5m_hc = 0{p_end}

{txt}       F(  1,   186) ={res}    0.17
{txt}{col 13}Prob > F ={res}    0.6831
{txt}
{com}. 
.                 
.         * Child mortality for HC level
.         
.         * We create the control vector without HC level components
.         
.         local  e_controls_noprefix b_visited_d educyr b_assetindex
{txt}
{com}.         
.         foreach x in e_ {c -(}
{txt}  2{com}.                 
.                 local `x'controls
{txt}  3{com}.                 local `x'controls_hc
{txt}  4{com}.                 
.                 local `x'controls_tfull
{txt}  5{com}.                 local `x'controls_tfull_hc
{txt}  6{com}.                         
.                 {c )-}
{txt}
{com}.                 
.         foreach x in e_ {c -(}
{txt}  2{com}.                 foreach var in treatfull {c -(}
{txt}  3{com}.                 
.                         local `var'_int_`x'controls
{txt}  4{com}.                         local `var'_hc_int_`x'controls
{txt}  5{com}.                         
.                         {c )-}
{txt}  6{com}.                 {c )-}
{txt}
{com}.                                 
.         foreach var of local e_controls_noprefix {c -(}
{txt}  2{com}.                 local e_controls `e_controls' c_`var'
{txt}  3{com}.                 local e_controls_tfull `e_controls_tfull' c_tfull_`var'
{txt}  4{com}.                 
.                 local e_controls_hc `e_controls_hc' c_hc_`var'
{txt}  5{com}.                 local e_controls_tfull_hc `e_controls_tfull_hc' c_tfull_hc_`var'
{txt}  6{com}.                 {c )-}
{txt}
{com}.                         
.         foreach treat in treatfull {c -(}
{txt}  2{com}.                 foreach var of local e_controls_noprefix {c -(}
{txt}  3{com}.                 
.                         local `treat'_int_e_controls ``treat'_int_e_controls' c_`treat'_`var'
{txt}  4{com}.                         local `treat'_hc_int_e_controls ``treat'_hc_int_e_controls' c_`treat'_hc_`var'
{txt}  5{com}.                         
.                         {c )-}
{txt}  6{com}.                 {c )-}
{txt}
{com}.         
.         * Subgroup Effects: Health Centre 2
.         
.         foreach x in `indices_hc' {c -(}
{txt}  2{com}.         
.                 areg e_`x' treatfull treatfull_hc2 hc2 b_`x' `e_controls_tfull_hc' `treatfull_hc_int_e_controls' if uniquehc == 1, robust a(district)
{txt}  3{com}.                 eststo e_`x'_hc2
{txt}  4{com}.                 local n_hc3_`x' = string(e(N),"%9.0fc")
{txt}  5{com}.                 local r2_hc3_`x' = string(e(r2),"%9.3fc")
{txt}  6{com}. 
.                 lincom treatfull + treatfull_hc2 
{txt}  7{com}.                 local est_hc2_`x' = r(estimate)
{txt}  8{com}.                 local se_hc2_`x' = r(se)
{txt}  9{com}.                 test treatfull + treatfull_hc2 = 0
{txt} 10{com}.                 local p_hc2_`x' = r(p)
{txt} 11{com}.                 
.                 local est_hc3_`x' = string(_b[treatfull],"%9.3fc")
{txt} 12{com}.                 local se_hc3_`x' = string(_se[treatfull],"%9.3fc")
{txt} 13{com}.                 local p_hc3_`x' = (2 * ttail(e(df_r), abs(_b[treatfull]/_se[treatfull])))
{txt} 14{com}.                 
.                 local est_tmxhc3_`x' = string(_b[treatfull_hc2],"%9.3fc")
{txt} 15{com}.                 local se_tmxhc3_`x' = string(_se[treatfull_hc2],"%9.3fc")
{txt} 16{com}.                 local p_tmxhc3_`x' = (2 * ttail(e(df_r), abs(_b[treatfull_hc2]/_se[treatfull_hc2])))
{txt} 17{com}.                 
.                 local est_smhc3_`x' = string(_b[hc2],"%9.3fc")
{txt} 18{com}.                 local se_smhc3_`x' = string(_se[hc2],"%9.3fc")
{txt} 19{com}.                 local p_smhc3_`x' = (2 * ttail(e(df_r), abs(_b[hc2]/_se[hc2])))
{txt} 20{com}.                 
.                 local est_chc3_`x' = string(_b[_cons],"%9.3fc")
{txt} 21{com}.                 local se_chc3_`x' = string(_se[_cons],"%9.3fc")
{txt} 22{com}.                 local p_chc3_`x' = (2 * ttail(e(df_r), abs(_b[_cons]/_se[_cons])))
{txt} 23{com}.                 
.                 foreach var in hc3 tmxhc3 smhc3 chc3 {c -(}
{txt} 24{com}.                 
.                         gen sign_`var'_zero_`x' = (`p_`var'_`x''>0.1)
{txt} 25{com}.                         gen sign_`var'_p1s_`x' = (`p_`var'_`x''<=0.1 & `p_`var'_`x''>0.05 & `est_`var'_`x''>0)
{txt} 26{com}.                         gen sign_`var'_p2s_`x' = (`p_`var'_`x''<=0.05 & `p_`var'_`x''>0.01 & `est_`var'_`x''>0)
{txt} 27{com}.                         gen sign_`var'_p3s_`x' = (`p_`var'_`x''<=0.01 & `p_`var'_`x''>=0 & `est_`var'_`x''>0)
{txt} 28{com}.                         gen sign_`var'_m1s_`x' = (`p_`var'_`x''<=0.1 & `p_`var'_`x''>0.05 & `est_`var'_`x''<0)
{txt} 29{com}.                         gen sign_`var'_m2s_`x' = (`p_`var'_`x''<=0.05 & `p_`var'_`x''>0.01 & `est_`var'_`x''<0)
{txt} 30{com}.                         gen sign_`var'_m3s_`x' = (`p_`var'_`x''<=0.01 & `p_`var'_`x''>=0 & `est_`var'_`x''<0)
{txt} 31{com}.                         
. 
.                         if sign_`var'_p1s_`x' == 1 {c -(}
{txt} 32{com}.                                         local sign_`var'_`x' = "\cellcolor[HTML]{c -(}EFEFEF{c )-}+"
{txt} 33{com}.                                         local est_`var'_`x' = "`est_`var'_`x''*"
{txt} 34{com}.                                         {c )-}
{txt} 35{com}.                                         
.                         if sign_`var'_p2s_`x' == 1 {c -(}    
{txt} 36{com}.                                         local sign_`var'_`x' = "\cellcolor[HTML]{c -(}C0C0C0{c )-}+"
{txt} 37{com}.                                         local est_`var'_`x' = "`est_`var'_`x''**"
{txt} 38{com}.                                         {c )-}
{txt} 39{com}.                                         
.                         if sign_`var'_p3s_`x' == 1 {c -(}    
{txt} 40{com}.                                         local sign_`var'_`x' = "\cellcolor[HTML]{c -(}9B9B9B{c )-}+"
{txt} 41{com}.                                         local est_`var'_`x' = "`est_`var'_`x''***"
{txt} 42{com}.                                         {c )-}
{txt} 43{com}.                                 
.                         if sign_`var'_m1s_`x' == 1 {c -(}
{txt} 44{com}.                                         local sign_`var'_`x' = "\cellcolor[HTML]{c -(}EFEFEF{c )-}-"
{txt} 45{com}.                                         local est_`var'_`x' = "`est_`var'_`x''*"
{txt} 46{com}.                                         {c )-}
{txt} 47{com}.                                         
.                         if sign_`var'_m2s_`x' == 1 {c -(}    
{txt} 48{com}.                                         local sign_`var'_`x' = "\cellcolor[HTML]{c -(}C0C0C0{c )-}-"
{txt} 49{com}.                                         local est_`var'_`x' = "`est_`var'_`x''**"
{txt} 50{com}.                                         {c )-}
{txt} 51{com}.                                         
.                         if sign_`var'_m3s_`x' == 1 {c -(}    
{txt} 52{com}.                                         local sign_`var'_`x' = "\cellcolor[HTML]{c -(}9B9B9B{c )-}-"
{txt} 53{com}.                                         local est_`var'_`x' = "`est_`var'_`x''***"
{txt} 54{com}.                                         {c )-}
{txt} 55{com}.                                 
.                         if sign_`var'_zero_`x' == 1 {c -(}
{txt} 56{com}.                                 local sign_`var'_`x' = "0"
{txt} 57{com}.                                 {c )-}
{txt} 58{com}.                                 
.                         {c )-}
{txt} 59{com}.                 
.                 gen sign_hc2_zero_`x' = (`p_hc2_`x''>0.1)
{txt} 60{com}.                 gen sign_hc2_p1s_`x' = (`p_hc2_`x''<=0.1 & `p_hc2_`x''>0.05 & `est_hc2_`x''>0)
{txt} 61{com}.                 gen sign_hc2_p2s_`x' = (`p_hc2_`x''<=0.05 & `p_hc2_`x''>0.01 & `est_hc2_`x''>0)
{txt} 62{com}.                 gen sign_hc2_p3s_`x' = (`p_hc2_`x''<=0.01 & `p_hc2_`x''>=0 & `est_hc2_`x''>0)
{txt} 63{com}.                 gen sign_hc2_m1s_`x' = (`p_hc2_`x''<=0.1 & `p_hc2_`x''>0.05 & `est_hc2_`x''<0)
{txt} 64{com}.                 gen sign_hc2_m2s_`x' = (`p_hc2_`x''<=0.05 & `p_hc2_`x''>0.01 & `est_hc2_`x''<0)
{txt} 65{com}.                 gen sign_hc2_m3s_`x' = (`p_hc2_`x''<=0.01 & `p_hc2_`x''>=0 & `est_hc2_`x''<0)
{txt} 66{com}.                 
.                 local p_hc2_`x' = string(`p_hc2_`x'',"%9.3fc")
{txt} 67{com}.                 local est_hc2_`x' = string(`est_hc2_`x'',"%9.3fc")
{txt} 68{com}.                 local se_hc2_`x' = string(`se_hc2_`x'',"%9.3fc")
{txt} 69{com}.                 
.                 if sign_hc2_p1s_`x' == 1 {c -(}
{txt} 70{com}.                                 local sign_hc2_`x' = "\cellcolor[HTML]{c -(}EFEFEF{c )-}+"
{txt} 71{com}.                                 local est_hc2_`x' = "`est_hc2_`x''*"
{txt} 72{com}.                                 {c )-}
{txt} 73{com}.                                 
.                 if sign_hc2_p2s_`x' == 1 {c -(}      
{txt} 74{com}.                                 local sign_hc2_`x' = "\cellcolor[HTML]{c -(}C0C0C0{c )-}+"
{txt} 75{com}.                                 local est_hc2_`x' = "`est_hc2_`x''**"
{txt} 76{com}.                                 {c )-}
{txt} 77{com}.                                 
.                 if sign_hc2_p3s_`x' == 1 {c -(}      
{txt} 78{com}.                                 local sign_hc2_`x' = "\cellcolor[HTML]{c -(}9B9B9B{c )-}+"
{txt} 79{com}.                                 local est_hc2_`x' = "`est_hc2_`x''***"
{txt} 80{com}.                                 {c )-}
{txt} 81{com}.                         
.                 if sign_hc2_m1s_`x' == 1 {c -(}
{txt} 82{com}.                                 local sign_hc2_`x' = "\cellcolor[HTML]{c -(}EFEFEF{c )-}-"
{txt} 83{com}.                                 local est_hc2_`x' = "`est_hc2_`x''*"
{txt} 84{com}.                                 {c )-}
{txt} 85{com}.                                 
.                 if sign_hc2_m2s_`x' == 1 {c -(}      
{txt} 86{com}.                                 local sign_hc2_`x' = "\cellcolor[HTML]{c -(}C0C0C0{c )-}-"
{txt} 87{com}.                                 local est_hc2_`x' = "`est_hc2_`x''**"
{txt} 88{com}.                                 {c )-}
{txt} 89{com}.                                 
.                 if sign_hc2_m3s_`x' == 1 {c -(}      
{txt} 90{com}.                                 local sign_hc2_`x' = "\cellcolor[HTML]{c -(}9B9B9B{c )-}-"
{txt} 91{com}.                                 local est_hc2_`x' = "`est_hc2_`x''***"
{txt} 92{com}.                                 {c )-}
{txt} 93{com}.                         
.                 if sign_hc2_zero_`x' == 1 {c -(}
{txt} 94{com}.                         local sign_hc2_`x' = "0"
{txt} 95{com}.                         {c )-}
{txt} 96{com}.                 
.                 drop sign_*
{txt} 97{com}. 
.                 {c )-}
{res}
{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}       187
{txt}{col 49}F({res}  10{txt},{res}    161{txt}){col 67}= {res}      1.40
{txt}{col 49}Prob > F{col 67}= {res}    0.1832
{txt}{col 49}R-squared{col 67}= {res}    0.1852
{txt}{col 49}Adj R-squared{col 67}= {res}    0.0587
{txt}{col 49}Root MSE{col 67}= {res}    0.0532

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}e_mortrat~05{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2}-.0131058{col 26}{space 2} .0125444{col 37}{space 1}   -1.04{col 46}{space 3}0.298{col 54}{space 4}-.0378786{col 67}{space 3}  .011667
{txt}treatfull_~2 {c |}{col 14}{res}{space 2} .0048491{col 26}{space 2} .0168258{col 37}{space 1}    0.29{col 46}{space 3}0.774{col 54}{space 4}-.0283785{col 67}{space 3} .0380768
{txt}{space 9}hc2 {c |}{col 14}{res}{space 2} .0032759{col 26}{space 2} .0131304{col 37}{space 1}    0.25{col 46}{space 3}0.803{col 54}{space 4}-.0226541{col 67}{space 3}  .029206
{txt}b_mortrat~05 {c |}{col 14}{res}{space 2} .0734888{col 26}{space 2}  .065811{col 37}{space 1}    1.12{col 46}{space 3}0.266{col 54}{space 4}-.0564752{col 67}{space 3} .2034528
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2}  .026927{col 26}{space 2} .0560717{col 37}{space 1}    0.48{col 46}{space 3}0.632{col 54}{space 4}-.0838038{col 67}{space 3} .1376577
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2}-.0060477{col 26}{space 2}   .00681{col 37}{space 1}   -0.89{col 46}{space 3}0.376{col 54}{space 4}-.0194962{col 67}{space 3} .0074009
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2} .0135467{col 26}{space 2} .0196078{col 37}{space 1}    0.69{col 46}{space 3}0.491{col 54}{space 4}-.0251749{col 67}{space 3} .0522683
{txt}c_treatful.. {c |}{col 14}{res}{space 2}-.1790847{col 26}{space 2} .0888147{col 37}{space 1}   -2.02{col 46}{space 3}0.045{col 54}{space 4}-.3544767{col 67}{space 3}-.0036928
{txt}c_treatful.. {c |}{col 14}{res}{space 2}-.0020719{col 26}{space 2} .0081997{col 37}{space 1}   -0.25{col 46}{space 3}0.801{col 54}{space 4}-.0182647{col 67}{space 3}  .014121
{txt}c_treatful.. {c |}{col 14}{res}{space 2}-.0073443{col 26}{space 2} .0265517{col 37}{space 1}   -0.28{col 46}{space 3}0.782{col 54}{space 4}-.0597788{col 67}{space 3} .0450902
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} .0588886{col 26}{space 2} .0099093{col 37}{space 1}    5.94{col 46}{space 3}0.000{col 54}{space 4} .0393197{col 67}{space 3} .0784575
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull + treatfull_hc2 = 0{p_end}

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}e_mortrat~05{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}(1) {c |}{col 14}{res}{space 2}-.0082567{col 26}{space 2}  .010649{col 37}{space 1}   -0.78{col 46}{space 3}0.439{col 54}{space 4}-.0292864{col 67}{space 3}  .012773
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull + treatfull_hc2 = 0{p_end}

{txt}       F(  1,   161) ={res}    0.60
{txt}{col 13}Prob > F ={res}    0.4393

{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}       187
{txt}{col 49}F({res}  10{txt},{res}    161{txt}){col 67}= {res}      1.05
{txt}{col 49}Prob > F{col 67}= {res}    0.4029
{txt}{col 49}R-squared{col 67}= {res}    0.1068
{txt}{col 49}Adj R-squared{col 67}= {res}   -0.0319
{txt}{col 49}Root MSE{col 67}= {res}    0.6997

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}e_h_ctzpre_z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2}-.3211416{col 26}{space 2} .1887743{col 37}{space 1}   -1.70{col 46}{space 3}0.091{col 54}{space 4}-.6939347{col 67}{space 3} .0516514
{txt}treatfull_~2 {c |}{col 14}{res}{space 2} .3254654{col 26}{space 2}  .243468{col 37}{space 1}    1.34{col 46}{space 3}0.183{col 54}{space 4}-.1553371{col 67}{space 3} .8062679
{txt}{space 9}hc2 {c |}{col 14}{res}{space 2}-.3206599{col 26}{space 2} .1683526{col 37}{space 1}   -1.90{col 46}{space 3}0.059{col 54}{space 4} -.653124{col 67}{space 3} .0118041
{txt}b_h_ctzpre_z {c |}{col 14}{res}{space 2}  .006645{col 26}{space 2} .0628579{col 37}{space 1}    0.11{col 46}{space 3}0.916{col 54}{space 4}-.1174873{col 67}{space 3} .1307773
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2}-.8583633{col 26}{space 2} .5667611{col 37}{space 1}   -1.51{col 46}{space 3}0.132{col 54}{space 4}-1.977608{col 67}{space 3} .2608811
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2}-.0460383{col 26}{space 2} .0946013{col 37}{space 1}   -0.49{col 46}{space 3}0.627{col 54}{space 4}-.2328577{col 67}{space 3} .1407811
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2}-.2511328{col 26}{space 2} .2417514{col 37}{space 1}   -1.04{col 46}{space 3}0.300{col 54}{space 4}-.7285454{col 67}{space 3} .2262797
{txt}c_treatful.. {c |}{col 14}{res}{space 2} 1.077531{col 26}{space 2} 1.035071{col 37}{space 1}    1.04{col 46}{space 3}0.299{col 54}{space 4}-.9665364{col 67}{space 3} 3.121597
{txt}c_treatful.. {c |}{col 14}{res}{space 2} .1212758{col 26}{space 2}  .113742{col 37}{space 1}    1.07{col 46}{space 3}0.288{col 54}{space 4}-.1033429{col 67}{space 3} .3458944
{txt}c_treatful.. {c |}{col 14}{res}{space 2} .1827092{col 26}{space 2} .2607427{col 37}{space 1}    0.70{col 46}{space 3}0.484{col 54}{space 4}-.3322075{col 67}{space 3} .6976259
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} .1971257{col 26}{space 2} .1069198{col 37}{space 1}    1.84{col 46}{space 3}0.067{col 54}{space 4}-.0140204{col 67}{space 3} .4082718
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull + treatfull_hc2 = 0{p_end}

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}e_h_ctzpre_z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}(1) {c |}{col 14}{res}{space 2} .0043238{col 26}{space 2} .1354031{col 37}{space 1}    0.03{col 46}{space 3}0.975{col 54}{space 4}-.2630714{col 67}{space 3}  .271719
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull + treatfull_hc2 = 0{p_end}

{txt}       F(  1,   161) ={res}    0.00
{txt}{col 13}Prob > F ={res}    0.9746
{txt}
{com}.                 
.         * Subgroup effects: Treatment Quality
.         
.         * We local the vector of control with HC level subcomponents
.         
.         local  e_controls_noprefix hc2 b_h_del b_h_staff_houses b_visited_d educyr b_assetindex
{txt}
{com}.                 
.         foreach x in e_ {c -(}
{txt}  2{com}.                 
.                 local `x'controls
{txt}  3{com}.                 local `x'controls_hc
{txt}  4{com}.                 
.                 local `x'controls_tfull
{txt}  5{com}.                 local `x'controls_tfull_hc
{txt}  6{com}.                         
.                 {c )-}
{txt}
{com}.                 
.         foreach x in e_ {c -(}
{txt}  2{com}.                 foreach var in treatfull {c -(}
{txt}  3{com}.                 
.                         local `var'_int_`x'controls
{txt}  4{com}.                         local `var'_hc_int_`x'controls
{txt}  5{com}.                         
.                         {c )-}
{txt}  6{com}.                 {c )-}
{txt}
{com}.                                 
.         foreach var of local e_controls_noprefix {c -(}
{txt}  2{com}.                 local e_controls `e_controls' c_`var'
{txt}  3{com}.                 local e_controls_tfull `e_controls_tfull' c_tfull_`var'
{txt}  4{com}.                 
.                 local e_controls_hc `e_controls_hc' c_hc_`var'
{txt}  5{com}.                 local e_controls_tfull_hc `e_controls_tfull_hc' c_tfull_hc_`var'
{txt}  6{com}.                 {c )-}
{txt}
{com}.                         
.         foreach treat in treatfull {c -(}
{txt}  2{com}.                 foreach var of local e_controls_noprefix {c -(}
{txt}  3{com}.                 
.                         local `treat'_int_e_controls ``treat'_int_e_controls' c_`treat'_`var'
{txt}  4{com}.                         local `treat'_hc_int_e_controls ``treat'_hc_int_e_controls' c_`treat'_hc_`var'
{txt}  5{com}.                         
.                         {c )-}
{txt}  6{com}.                 {c )-}
{txt}
{com}.                 
.         * We regress the results
.         
.         foreach x in `indices_hc' {c -(}
{txt}  2{com}.         
.                 areg e_`x' treatfull treatfull_treatqual b_treatqual_z_med_d b_`x' `e_controls_tfull_hc' `treatfull_hc_int_e_controls' if uniquehc == 1, robust a(district)
{txt}  3{com}.                 eststo e_`x'_treatqual
{txt}  4{com}.                 local n_treatqual_`x' = string(e(N),"%9.0fc")
{txt}  5{com}.                 local r2_treatqual_`x' = string(e(r2),"%9.3fc")
{txt}  6{com}.                 
.                 lincom treatfull + treatfull_treatqual
{txt}  7{com}.                 local est_treatqual_`x' = r(estimate)
{txt}  8{com}.                 local se_treatqual_`x' = r(se)
{txt}  9{com}.                 test treatfull + treatfull_treatqual = 0
{txt} 10{com}.                 local p_treatqual_`x' = r(p)
{txt} 11{com}.                 
.                 local est_btreatqual_`x' = string(_b[treatfull],"%9.3fc")
{txt} 12{com}.                 local se_btreatqual_`x' = string(_se[treatfull],"%9.3fc")
{txt} 13{com}.                 local p_btreatqual_`x' = (2 * ttail(e(df_r), abs(_b[treatfull]/_se[treatfull])))
{txt} 14{com}.                 
.                 local est_tmxtqual_`x' = string(_b[treatfull_treatqual],"%9.3fc")
{txt} 15{com}.                 local se_tmxtqual_`x' = string(_se[treatfull_treatqual],"%9.3fc")
{txt} 16{com}.                 local p_tmxtqual_`x' = (2 * ttail(e(df_r), abs(_b[treatfull_treatqual]/_se[treatfull_treatqual])))
{txt} 17{com}.                 
.                 local est_smtqual_`x' = string(_b[b_treatqual_z_med_d],"%9.3fc")
{txt} 18{com}.                 local se_smtqual_`x' = string(_se[b_treatqual_z_med_d],"%9.3fc")
{txt} 19{com}.                 local p_smtqual_`x' = (2 * ttail(e(df_r), abs(_b[b_treatqual_z_med_d]/_se[b_treatqual_z_med_d])))
{txt} 20{com}.                 
.                 local est_ctqual_`x' = string(_b[_cons],"%9.3fc")
{txt} 21{com}.                 local se_ctqual_`x' = string(_se[_cons],"%9.3fc")
{txt} 22{com}.                 local p_ctqual_`x' = (2 * ttail(e(df_r), abs(_b[_cons]/_se[_cons])))
{txt} 23{com}.                 
.                 foreach var in btreatqual tmxtqual smtqual ctqual {c -(}
{txt} 24{com}.                 
.                         gen sign_`var'_zero_`x' = (`p_`var'_`x''>0.1)
{txt} 25{com}.                         gen sign_`var'_p1s_`x' = (`p_`var'_`x''<=0.1 & `p_`var'_`x''>0.05 & `est_`var'_`x''>0)
{txt} 26{com}.                         gen sign_`var'_p2s_`x' = (`p_`var'_`x''<=0.05 & `p_`var'_`x''>0.01 & `est_`var'_`x''>0)
{txt} 27{com}.                         gen sign_`var'_p3s_`x' = (`p_`var'_`x''<=0.01 & `p_`var'_`x''>=0 & `est_`var'_`x''>0)
{txt} 28{com}.                         gen sign_`var'_m1s_`x' = (`p_`var'_`x''<=0.1 & `p_`var'_`x''>0.05 & `est_`var'_`x''<0)
{txt} 29{com}.                         gen sign_`var'_m2s_`x' = (`p_`var'_`x''<=0.05 & `p_`var'_`x''>0.01 & `est_`var'_`x''<0)
{txt} 30{com}.                         gen sign_`var'_m3s_`x' = (`p_`var'_`x''<=0.01 & `p_`var'_`x''>=0 & `est_`var'_`x''<0)
{txt} 31{com}.                         
.                         if sign_`var'_p1s_`x' == 1 {c -(}
{txt} 32{com}.                                         local sign_`var'_`x' = "\cellcolor[HTML]{c -(}EFEFEF{c )-}+"
{txt} 33{com}.                                         local est_`var'_`x' = "`est_`var'_`x''*"
{txt} 34{com}.                                         {c )-}
{txt} 35{com}.                                         
.                         if sign_`var'_p2s_`x' == 1 {c -(}    
{txt} 36{com}.                                         local sign_`var'_`x' = "\cellcolor[HTML]{c -(}C0C0C0{c )-}+"
{txt} 37{com}.                                         local est_`var'_`x' = "`est_`var'_`x''**"
{txt} 38{com}.                                         {c )-}
{txt} 39{com}.                                         
.                         if sign_`var'_p3s_`x' == 1 {c -(}    
{txt} 40{com}.                                         local sign_`var'_`x' = "\cellcolor[HTML]{c -(}9B9B9B{c )-}+"
{txt} 41{com}.                                         local est_`var'_`x' = "`est_`var'_`x''***"
{txt} 42{com}.                                         {c )-}
{txt} 43{com}.                                 
.                         if sign_`var'_m1s_`x' == 1 {c -(}
{txt} 44{com}.                                         local sign_`var'_`x' = "\cellcolor[HTML]{c -(}EFEFEF{c )-}-"
{txt} 45{com}.                                         local est_`var'_`x' = "`est_`var'_`x''*"
{txt} 46{com}.                                         {c )-}
{txt} 47{com}.                                         
.                         if sign_`var'_m2s_`x' == 1 {c -(}    
{txt} 48{com}.                                         local sign_`var'_`x' = "\cellcolor[HTML]{c -(}C0C0C0{c )-}-"
{txt} 49{com}.                                         local est_`var'_`x' = "`est_`var'_`x''**"
{txt} 50{com}.                                         {c )-}
{txt} 51{com}.                                         
.                         if sign_`var'_m3s_`x' == 1 {c -(}    
{txt} 52{com}.                                         local sign_`var'_`x' = "\cellcolor[HTML]{c -(}9B9B9B{c )-}-"
{txt} 53{com}.                                         local est_`var'_`x' = "`est_`var'_`x''***"
{txt} 54{com}.                                         {c )-}
{txt} 55{com}.                                 
.                         if sign_`var'_zero_`x' == 1 {c -(}
{txt} 56{com}.                                 local sign_`var'_`x' = "0"
{txt} 57{com}.                                 {c )-}
{txt} 58{com}.                                 
.                         {c )-}
{txt} 59{com}. 
.                 
.                 gen sign_treatqual_zero_`x' = (`p_treatqual_`x''>0.1)
{txt} 60{com}.                 gen sign_treatqual_p1s_`x' = (`p_treatqual_`x''<=0.1 & `p_treatqual_`x''>0.05 & `est_treatqual_`x''>0)
{txt} 61{com}.                 gen sign_treatqual_p2s_`x' = (`p_treatqual_`x''<=0.05 & `p_treatqual_`x''>0.01 & `est_treatqual_`x''>0)
{txt} 62{com}.                 gen sign_treatqual_p3s_`x' = (`p_treatqual_`x''<=0.01 & `p_treatqual_`x''>=0 & `est_treatqual_`x''>0)
{txt} 63{com}.                 gen sign_treatqual_m1s_`x' = (`p_treatqual_`x''<=0.1 & `p_treatqual_`x''>0.05 & `est_treatqual_`x''<0)
{txt} 64{com}.                 gen sign_treatqual_m2s_`x' = (`p_treatqual_`x''<=0.05 & `p_treatqual_`x''>0.01 & `est_treatqual_`x''<0)
{txt} 65{com}.                 gen sign_treatqual_m3s_`x' = (`p_treatqual_`x''<=0.01 & `p_treatqual_`x''>=0 & `est_treatqual_`x''<0)
{txt} 66{com}.                 
.                 local p_treatqual_`x' = string(`p_treatqual_`x'',"%9.3fc")
{txt} 67{com}.                 local est_treatqual_`x' = string(`est_treatqual_`x'',"%9.3fc")
{txt} 68{com}.                 local se_treatqual_`x' = string(`se_treatqual_`x'',"%9.3fc")
{txt} 69{com}.                 
.                 if sign_treatqual_p1s_`x' == 1 {c -(}
{txt} 70{com}.                                 local sign_treatqual_`x' = "\cellcolor[HTML]{c -(}EFEFEF{c )-}+"
{txt} 71{com}.                                 local est_treatqual_`x' = "`est_treatqual_`x''*"
{txt} 72{com}.                                 {c )-}
{txt} 73{com}.                                 
.                 if sign_treatqual_p2s_`x' == 1 {c -(}        
{txt} 74{com}.                                 local sign_treatqual_`x' = "\cellcolor[HTML]{c -(}C0C0C0{c )-}+"
{txt} 75{com}.                                 local est_treatqual_`x' = "`est_treatqual_`x''**"
{txt} 76{com}.                                 {c )-}
{txt} 77{com}.                                 
.                 if sign_treatqual_p3s_`x' == 1 {c -(}        
{txt} 78{com}.                                 local sign_treatqual_`x' = "\cellcolor[HTML]{c -(}9B9B9B{c )-}+"
{txt} 79{com}.                                 local est_treatqual_`x' = "`est_treatqual_`x''***"
{txt} 80{com}.                                 {c )-}
{txt} 81{com}.                         
.                 if sign_treatqual_m1s_`x' == 1 {c -(}
{txt} 82{com}.                                 local sign_treatqual_`x' = "\cellcolor[HTML]{c -(}EFEFEF{c )-}-"
{txt} 83{com}.                                 local est_treatqual_`x' = "`est_treatqual_`x''*"
{txt} 84{com}.                                 {c )-}
{txt} 85{com}.                                 
.                 if sign_treatqual_m2s_`x' == 1 {c -(}        
{txt} 86{com}.                                 local sign_treatqual_`x' = "\cellcolor[HTML]{c -(}C0C0C0{c )-}-"
{txt} 87{com}.                                 local est_treatqual_`x' = "`est_treatqual_`x''**"
{txt} 88{com}.                                 {c )-}
{txt} 89{com}.                                 
.                 if sign_treatqual_m3s_`x' == 1 {c -(}        
{txt} 90{com}.                                 local sign_treatqual_`x' = "\cellcolor[HTML]{c -(}9B9B9B{c )-}-"
{txt} 91{com}.                                 local est_treatqual_`x' = "`est_treatqual_`x''***"
{txt} 92{com}.                                 {c )-}
{txt} 93{com}.                         
.                 if sign_treatqual_zero_`x' == 1 {c -(}
{txt} 94{com}.                         local sign_treatqual_`x' = "0"
{txt} 95{com}.                         {c )-}
{txt} 96{com}.                 
.                 drop sign_*
{txt} 97{com}.                 
.                 {c )-}
{res}
{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}       187
{txt}{col 49}F({res}  16{txt},{res}    155{txt}){col 67}= {res}      1.29
{txt}{col 49}Prob > F{col 67}= {res}    0.2088
{txt}{col 49}R-squared{col 67}= {res}    0.2030
{txt}{col 49}Adj R-squared{col 67}= {res}    0.0436
{txt}{col 49}Root MSE{col 67}= {res}    0.0536

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}e_mortrat~05{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2}-.0183027{col 26}{space 2} .0115614{col 37}{space 1}   -1.58{col 46}{space 3}0.115{col 54}{space 4}-.0411411{col 67}{space 3} .0045356
{txt}treatful~ual {c |}{col 14}{res}{space 2} .0178203{col 26}{space 2} .0170465{col 37}{space 1}    1.05{col 46}{space 3}0.297{col 54}{space 4}-.0158532{col 67}{space 3} .0514938
{txt}b_treatq~d_d {c |}{col 14}{res}{space 2}-.0070185{col 26}{space 2} .0129238{col 37}{space 1}   -0.54{col 46}{space 3}0.588{col 54}{space 4} -.032548{col 67}{space 3} .0185111
{txt}b_mortrat~05 {c |}{col 14}{res}{space 2} .0761493{col 26}{space 2} .0667251{col 37}{space 1}    1.14{col 46}{space 3}0.256{col 54}{space 4}-.0556586{col 67}{space 3} .2079572
{txt}c_tf~_hc_hc2 {c |}{col 14}{res}{space 2} .0094387{col 26}{space 2} .0171678{col 37}{space 1}    0.55{col 46}{space 3}0.583{col 54}{space 4}-.0244743{col 67}{space 3} .0433516
{txt}c_tfull_hc~l {c |}{col 14}{res}{space 2} .0023814{col 26}{space 2} .0210431{col 37}{space 1}    0.11{col 46}{space 3}0.910{col 54}{space 4} -.039187{col 67}{space 3} .0439497
{txt}c_tfull_hc~s {c |}{col 14}{res}{space 2} .0104721{col 26}{space 2} .0223513{col 37}{space 1}    0.47{col 46}{space 3}0.640{col 54}{space 4}-.0336805{col 67}{space 3} .0546246
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2} .0347726{col 26}{space 2} .0588011{col 37}{space 1}    0.59{col 46}{space 3}0.555{col 54}{space 4}-.0813823{col 67}{space 3} .1509275
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2}-.0066595{col 26}{space 2} .0073306{col 37}{space 1}   -0.91{col 46}{space 3}0.365{col 54}{space 4}-.0211404{col 67}{space 3} .0078213
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2} .0170594{col 26}{space 2} .0214448{col 37}{space 1}    0.80{col 46}{space 3}0.428{col 54}{space 4}-.0253024{col 67}{space 3} .0594211
{txt}c_treatful.. {c |}{col 14}{res}{space 2}-.0074333{col 26}{space 2} .0195659{col 37}{space 1}   -0.38{col 46}{space 3}0.705{col 54}{space 4}-.0460835{col 67}{space 3} .0312168
{txt}c_treatful.. {c |}{col 14}{res}{space 2}-.0013094{col 26}{space 2} .0233228{col 37}{space 1}   -0.06{col 46}{space 3}0.955{col 54}{space 4}-.0473809{col 67}{space 3} .0447622
{txt}c_treatful.. {c |}{col 14}{res}{space 2}-.0355719{col 26}{space 2} .0275791{col 37}{space 1}   -1.29{col 46}{space 3}0.199{col 54}{space 4}-.0900513{col 67}{space 3} .0189076
{txt}c_treatful.. {c |}{col 14}{res}{space 2} -.171125{col 26}{space 2}  .089537{col 37}{space 1}   -1.91{col 46}{space 3}0.058{col 54}{space 4}-.3479951{col 67}{space 3} .0057452
{txt}c_treatful.. {c |}{col 14}{res}{space 2}-.0021735{col 26}{space 2} .0087695{col 37}{space 1}   -0.25{col 46}{space 3}0.805{col 54}{space 4}-.0194966{col 67}{space 3} .0151497
{txt}c_treatful.. {c |}{col 14}{res}{space 2}-.0180495{col 26}{space 2} .0280313{col 37}{space 1}   -0.64{col 46}{space 3}0.521{col 54}{space 4}-.0734222{col 67}{space 3} .0373233
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} .0645235{col 26}{space 2} .0099095{col 37}{space 1}    6.51{col 46}{space 3}0.000{col 54}{space 4} .0449483{col 67}{space 3} .0840986
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull + treatfull_treatqual = 0{p_end}

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}e_mortrat~05{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}(1) {c |}{col 14}{res}{space 2}-.0004824{col 26}{space 2} .0119466{col 37}{space 1}   -0.04{col 46}{space 3}0.968{col 54}{space 4}-.0240815{col 67}{space 3} .0231167
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull + treatfull_treatqual = 0{p_end}

{txt}       F(  1,   155) ={res}    0.00
{txt}{col 13}Prob > F ={res}    0.9678

{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}       187
{txt}{col 49}F({res}  16{txt},{res}    155{txt}){col 67}= {res}      1.13
{txt}{col 49}Prob > F{col 67}= {res}    0.3322
{txt}{col 49}R-squared{col 67}= {res}    0.1528
{txt}{col 49}Adj R-squared{col 67}= {res}   -0.0166
{txt}{col 49}Root MSE{col 67}= {res}    0.6945

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}e_h_ctzpre_z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2}-.1157186{col 26}{space 2} .1348785{col 37}{space 1}   -0.86{col 46}{space 3}0.392{col 54}{space 4}-.3821559{col 67}{space 3} .1507187
{txt}treatful~ual {c |}{col 14}{res}{space 2}-.0453165{col 26}{space 2} .2577905{col 37}{space 1}   -0.18{col 46}{space 3}0.861{col 54}{space 4}-.5545525{col 67}{space 3} .4639195
{txt}b_treatq~d_d {c |}{col 14}{res}{space 2} .0452264{col 26}{space 2} .1444528{col 37}{space 1}    0.31{col 46}{space 3}0.755{col 54}{space 4}-.2401239{col 67}{space 3} .3305766
{txt}b_h_ctzpre_z {c |}{col 14}{res}{space 2} .0091668{col 26}{space 2} .0697069{col 37}{space 1}    0.13{col 46}{space 3}0.896{col 54}{space 4}-.1285314{col 67}{space 3}  .146865
{txt}c_tf~_hc_hc2 {c |}{col 14}{res}{space 2}-.0919263{col 26}{space 2} .1564375{col 37}{space 1}   -0.59{col 46}{space 3}0.558{col 54}{space 4} -.400951{col 67}{space 3} .2170984
{txt}c_tfull_hc~l {c |}{col 14}{res}{space 2} .0644348{col 26}{space 2} .1981293{col 37}{space 1}    0.33{col 46}{space 3}0.745{col 54}{space 4}-.3269472{col 67}{space 3} .4558167
{txt}c_tfull_hc~s {c |}{col 14}{res}{space 2} .6374345{col 26}{space 2} .2592636{col 37}{space 1}    2.46{col 46}{space 3}0.015{col 54}{space 4} .1252885{col 67}{space 3} 1.149581
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2}-.6706426{col 26}{space 2} .6167347{col 37}{space 1}   -1.09{col 46}{space 3}0.279{col 54}{space 4}-1.888932{col 67}{space 3} .5476471
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2}-.0474403{col 26}{space 2} .0843541{col 37}{space 1}   -0.56{col 46}{space 3}0.575{col 54}{space 4}-.2140724{col 67}{space 3} .1191917
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2}-.1664876{col 26}{space 2} .2380613{col 37}{space 1}   -0.70{col 46}{space 3}0.485{col 54}{space 4}-.6367508{col 67}{space 3} .3037757
{txt}c_treatful.. {c |}{col 14}{res}{space 2} .0596425{col 26}{space 2}  .259674{col 37}{space 1}    0.23{col 46}{space 3}0.819{col 54}{space 4}-.4533142{col 67}{space 3} .5725992
{txt}c_treatful.. {c |}{col 14}{res}{space 2} -.174006{col 26}{space 2} .2477487{col 37}{space 1}   -0.70{col 46}{space 3}0.484{col 54}{space 4}-.6634057{col 67}{space 3} .3153936
{txt}c_treatful.. {c |}{col 14}{res}{space 2}-.5863433{col 26}{space 2}  .276581{col 37}{space 1}   -2.12{col 46}{space 3}0.036{col 54}{space 4}-1.132698{col 67}{space 3}-.0399888
{txt}c_treatful.. {c |}{col 14}{res}{space 2} .9777556{col 26}{space 2} 1.057455{col 37}{space 1}    0.92{col 46}{space 3}0.357{col 54}{space 4}-1.111127{col 67}{space 3} 3.066638
{txt}c_treatful.. {c |}{col 14}{res}{space 2} .1489344{col 26}{space 2} .1215174{col 37}{space 1}    1.23{col 46}{space 3}0.222{col 54}{space 4}-.0911094{col 67}{space 3} .3889783
{txt}c_treatful.. {c |}{col 14}{res}{space 2}-.0349545{col 26}{space 2} .2829754{col 37}{space 1}   -0.12{col 46}{space 3}0.902{col 54}{space 4}-.5939405{col 67}{space 3} .5240315
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} -.009399{col 26}{space 2} .0944448{col 37}{space 1}   -0.10{col 46}{space 3}0.921{col 54}{space 4} -.195964{col 67}{space 3} .1771659
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull + treatfull_treatqual = 0{p_end}

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}e_h_ctzpre_z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}(1) {c |}{col 14}{res}{space 2}-.1610351{col 26}{space 2} .1975455{col 37}{space 1}   -0.82{col 46}{space 3}0.416{col 54}{space 4} -.551264{col 67}{space 3} .2291938
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull + treatfull_treatqual = 0{p_end}

{txt}       F(  1,   155) ={res}    0.66
{txt}{col 13}Prob > F ={res}    0.4162
{txt}
{com}. 
.                 
.         * Subgroup Effects: Outside Options
.         
.         * We local the vector of contral without HC level components
.         
.         local  e_controls_noprefix b_visited_d educyr b_assetindex
{txt}
{com}.                 
.         foreach x in e_ {c -(}
{txt}  2{com}.                 
.                 local `x'controls
{txt}  3{com}.                 local `x'controls_hc
{txt}  4{com}.                 
.                 local `x'controls_tfull
{txt}  5{com}.                 local `x'controls_tfull_hc
{txt}  6{com}.                         
.                 {c )-}
{txt}
{com}.                 
.         foreach x in e_ {c -(}
{txt}  2{com}.                 foreach var in treatfull {c -(}
{txt}  3{com}.                 
.                         local `var'_int_`x'controls
{txt}  4{com}.                         local `var'_hc_int_`x'controls
{txt}  5{com}.                         
.                         {c )-}
{txt}  6{com}.                 {c )-}
{txt}
{com}.                                 
.         foreach var of local e_controls_noprefix {c -(}
{txt}  2{com}.                 local e_controls `e_controls' c_`var'
{txt}  3{com}.                 local e_controls_tfull `e_controls_tfull' c_tfull_`var'
{txt}  4{com}.                 
.                 local e_controls_hc `e_controls_hc' c_hc_`var'
{txt}  5{com}.                 local e_controls_tfull_hc `e_controls_tfull_hc' c_tfull_hc_`var'
{txt}  6{com}.                 {c )-}
{txt}
{com}.                         
.         foreach treat in treatfull {c -(}
{txt}  2{com}.                 foreach var of local e_controls_noprefix {c -(}
{txt}  3{com}.                 
.                         local `treat'_int_e_controls ``treat'_int_e_controls' c_`treat'_`var'
{txt}  4{com}.                         local `treat'_hc_int_e_controls ``treat'_hc_int_e_controls' c_`treat'_hc_`var'
{txt}  5{com}.                         
.                         {c )-}
{txt}  6{com}.                 {c )-}
{txt}
{com}.         
.         * We regress the results
.         
.         foreach x in `indices_hc' {c -(}
{txt}  2{com}.         
.                 areg e_`x' treatfull treatfull_outsideoption b_h_outsideoption_z_med_d b_`x' `e_controls_tfull_hc' `treatfull_hc_int_e_controls' if uniquehc == 1, robust a(district)
{txt}  3{com}.                 eststo e_`x'_outsideoption
{txt}  4{com}.                 local n_outside_`x' = string(e(N),"%9.0fc")
{txt}  5{com}.                 local r2_outside_`x' = string(e(r2),"%9.3fc")
{txt}  6{com}.                 
.                 lincom treatfull + treatfull_outsideoption
{txt}  7{com}.                 local est_outside_`x' = r(estimate)
{txt}  8{com}.                 local se_outside_`x' = r(se)
{txt}  9{com}.                 test treatfull + treatfull_outsideoption = 0
{txt} 10{com}.                 local p_outside_`x' = r(p)
{txt} 11{com}.                 
.                 local est_boutside_`x' = string(_b[treatfull],"%9.3fc")
{txt} 12{com}.                 local se_boutside_`x' = string(_se[treatfull],"%9.3fc")
{txt} 13{com}.                 local p_boutside_`x' = (2 * ttail(e(df_r), abs(_b[treatfull]/_se[treatfull])))
{txt} 14{com}.                 
.                 local est_tmxoutside_`x' = string(_b[treatfull_outsideoption],"%9.3fc")
{txt} 15{com}.                 local se_tmxoutside_`x' = string(_se[treatfull_outsideoption],"%9.3fc")
{txt} 16{com}.                 local p_tmxoutside_`x' = (2 * ttail(e(df_r), abs(_b[treatfull_outsideoption]/_se[treatfull_outsideoption])))
{txt} 17{com}.                 
.                 local est_smoutside_`x' = string(_b[b_h_outsideoption_z_med_d],"%9.3fc")
{txt} 18{com}.                 local se_smoutside_`x' = string(_se[b_h_outsideoption_z_med_d],"%9.3fc")
{txt} 19{com}.                 local p_smoutside_`x' = (2 * ttail(e(df_r), abs(_b[b_h_outsideoption_z_med_d]/_se[b_h_outsideoption_z_med_d])))
{txt} 20{com}.                 
.                 local est_coutside_`x' = string(_b[_cons],"%9.3fc")
{txt} 21{com}.                 local se_coutside_`x' = string(_se[_cons],"%9.3fc")
{txt} 22{com}.                 local p_coutside_`x' = (2 * ttail(e(df_r), abs(_b[_cons]/_se[_cons])))
{txt} 23{com}.                 
.                 foreach var in boutside tmxoutside smoutside coutside {c -(}
{txt} 24{com}.                 
.                         gen sign_`var'_zero_`x' = (`p_`var'_`x''>0.1)
{txt} 25{com}.                         gen sign_`var'_p1s_`x' = (`p_`var'_`x''<=0.1 & `p_`var'_`x''>0.05 & `est_`var'_`x''>0)
{txt} 26{com}.                         gen sign_`var'_p2s_`x' = (`p_`var'_`x''<=0.05 & `p_`var'_`x''>0.01 & `est_`var'_`x''>0)
{txt} 27{com}.                         gen sign_`var'_p3s_`x' = (`p_`var'_`x''<=0.01 & `p_`var'_`x''>=0 & `est_`var'_`x''>0)
{txt} 28{com}.                         gen sign_`var'_m1s_`x' = (`p_`var'_`x''<=0.1 & `p_`var'_`x''>0.05 & `est_`var'_`x''<0)
{txt} 29{com}.                         gen sign_`var'_m2s_`x' = (`p_`var'_`x''<=0.05 & `p_`var'_`x''>0.01 & `est_`var'_`x''<0)
{txt} 30{com}.                         gen sign_`var'_m3s_`x' = (`p_`var'_`x''<=0.01 & `p_`var'_`x''>=0 & `est_`var'_`x''<0)
{txt} 31{com}.                         
.                         if sign_`var'_p1s_`x' == 1 {c -(}
{txt} 32{com}.                                         local sign_`var'_`x' = "\cellcolor[HTML]{c -(}EFEFEF{c )-}+"
{txt} 33{com}.                                         local est_`var'_`x' = "`est_`var'_`x''*"
{txt} 34{com}.                                         {c )-}
{txt} 35{com}.                                         
.                         if sign_`var'_p2s_`x' == 1 {c -(}    
{txt} 36{com}.                                         local sign_`var'_`x' = "\cellcolor[HTML]{c -(}C0C0C0{c )-}+"
{txt} 37{com}.                                         local est_`var'_`x' = "`est_`var'_`x''**"
{txt} 38{com}.                                         {c )-}
{txt} 39{com}.                                         
.                         if sign_`var'_p3s_`x' == 1 {c -(}    
{txt} 40{com}.                                         local sign_`var'_`x' = "\cellcolor[HTML]{c -(}9B9B9B{c )-}+"
{txt} 41{com}.                                         local est_`var'_`x' = "`est_`var'_`x''***"
{txt} 42{com}.                                         {c )-}
{txt} 43{com}.                                 
.                         if sign_`var'_m1s_`x' == 1 {c -(}
{txt} 44{com}.                                         local sign_`var'_`x' = "\cellcolor[HTML]{c -(}EFEFEF{c )-}-"
{txt} 45{com}.                                         local est_`var'_`x' = "`est_`var'_`x''*"
{txt} 46{com}.                                         {c )-}
{txt} 47{com}.                                         
.                         if sign_`var'_m2s_`x' == 1 {c -(}    
{txt} 48{com}.                                         local sign_`var'_`x' = "\cellcolor[HTML]{c -(}C0C0C0{c )-}-"
{txt} 49{com}.                                         local est_`var'_`x' = "`est_`var'_`x''**"
{txt} 50{com}.                                         {c )-}
{txt} 51{com}.                                         
.                         if sign_`var'_m3s_`x' == 1 {c -(}    
{txt} 52{com}.                                         local sign_`var'_`x' = "\cellcolor[HTML]{c -(}9B9B9B{c )-}-"
{txt} 53{com}.                                         local est_`var'_`x' = "`est_`var'_`x''***"
{txt} 54{com}.                                         {c )-}
{txt} 55{com}.                                 
.                         if sign_`var'_zero_`x' == 1 {c -(}
{txt} 56{com}.                                 local sign_`var'_`x' = "0"
{txt} 57{com}.                                 {c )-}
{txt} 58{com}.                                 
.                         {c )-}
{txt} 59{com}.                 
.                 gen sign_outside_zero_`x' = (`p_outside_`x''>0.1)
{txt} 60{com}.                 gen sign_outside_p1s_`x' = (`p_outside_`x''<=0.1 & `p_outside_`x''>0.05 & `est_outside_`x''>0)
{txt} 61{com}.                 gen sign_outside_p2s_`x' = (`p_outside_`x''<=0.05 & `p_outside_`x''>0.01 & `est_outside_`x''>0)
{txt} 62{com}.                 gen sign_outside_p3s_`x' = (`p_outside_`x''<=0.01 & `p_outside_`x''>=0 & `est_outside_`x''>0)
{txt} 63{com}.                 gen sign_outside_m1s_`x' = (`p_outside_`x''<=0.1 & `p_outside_`x''>0.05 & `est_outside_`x''<0)
{txt} 64{com}.                 gen sign_outside_m2s_`x' = (`p_outside_`x''<=0.05 & `p_outside_`x''>0.01 & `est_outside_`x''<0)
{txt} 65{com}.                 gen sign_outside_m3s_`x' = (`p_outside_`x''<=0.01 & `p_outside_`x''>=0 & `est_outside_`x''<0)
{txt} 66{com}.                 
.                 local p_outside_`x' = string(`p_outside_`x'',"%9.3fc")
{txt} 67{com}.                 local est_outside_`x' = string(`est_outside_`x'',"%9.3fc")
{txt} 68{com}.                 local se_outside_`x' = string(`se_outside_`x'',"%9.3fc")
{txt} 69{com}.                 
.                 if sign_outside_p1s_`x' == 1 {c -(}
{txt} 70{com}.                                 local sign_outside_`x' = "\cellcolor[HTML]{c -(}EFEFEF{c )-}+"
{txt} 71{com}.                                 local est_outside_`x' = "`est_outside_`x''*"
{txt} 72{com}.                                 {c )-}
{txt} 73{com}.                                 
.                 if sign_outside_p2s_`x' == 1 {c -(}  
{txt} 74{com}.                                 local sign_outside_`x' = "\cellcolor[HTML]{c -(}C0C0C0{c )-}+"
{txt} 75{com}.                                 local est_outside_`x' = "`est_outside_`x''**"
{txt} 76{com}.                                 {c )-}
{txt} 77{com}.                                 
.                 if sign_outside_p3s_`x' == 1 {c -(}  
{txt} 78{com}.                                 local sign_outside_`x' = "\cellcolor[HTML]{c -(}9B9B9B{c )-}+"
{txt} 79{com}.                                 local est_outside_`x' = "`est_outside_`x''***"
{txt} 80{com}.                                 {c )-}
{txt} 81{com}.                         
.                 if sign_outside_m1s_`x' == 1 {c -(}
{txt} 82{com}.                                 local sign_outside_`x' = "\cellcolor[HTML]{c -(}EFEFEF{c )-}-"
{txt} 83{com}.                                 local est_outside_`x' = "`est_outside_`x''*"
{txt} 84{com}.                                 {c )-}
{txt} 85{com}.                                 
.                 if sign_outside_m2s_`x' == 1 {c -(}  
{txt} 86{com}.                                 local sign_outside_`x' = "\cellcolor[HTML]{c -(}C0C0C0{c )-}-"
{txt} 87{com}.                                 local est_outside_`x' = "`est_outside_`x''**"
{txt} 88{com}.                                 {c )-}
{txt} 89{com}.                                 
.                 if sign_outside_m3s_`x' == 1 {c -(}  
{txt} 90{com}.                                 local sign_outside_`x' = "\cellcolor[HTML]{c -(}9B9B9B{c )-}-"
{txt} 91{com}.                                 local est_outside_`x' = "`est_outside_`x''***"
{txt} 92{com}.                                 {c )-}
{txt} 93{com}.                         
.                 if sign_outside_zero_`x' == 1 {c -(}
{txt} 94{com}.                         local sign_outside_`x' = "0"
{txt} 95{com}.                         {c )-}
{txt} 96{com}.                 
.                 drop sign_*
{txt} 97{com}.                 
.                 {c )-}
{res}
{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}       187
{txt}{col 49}F({res}  10{txt},{res}    161{txt}){col 67}= {res}      1.49
{txt}{col 49}Prob > F{col 67}= {res}    0.1482
{txt}{col 49}R-squared{col 67}= {res}    0.1896
{txt}{col 49}Adj R-squared{col 67}= {res}    0.0638
{txt}{col 49}Root MSE{col 67}= {res}    0.0530

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}e_mortrat~05{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2}-.0151962{col 26}{space 2} .0118106{col 37}{space 1}   -1.29{col 46}{space 3}0.200{col 54}{space 4}  -.03852{col 67}{space 3} .0081275
{txt}treatfull_~n {c |}{col 14}{res}{space 2} .0123226{col 26}{space 2} .0170164{col 37}{space 1}    0.72{col 46}{space 3}0.470{col 54}{space 4}-.0212815{col 67}{space 3} .0459267
{txt}b_h_outsid~d {c |}{col 14}{res}{space 2}-.0148348{col 26}{space 2} .0121895{col 37}{space 1}   -1.22{col 46}{space 3}0.225{col 54}{space 4}-.0389067{col 67}{space 3} .0092371
{txt}b_mortrat~05 {c |}{col 14}{res}{space 2}  .084947{col 26}{space 2}  .064493{col 37}{space 1}    1.32{col 46}{space 3}0.190{col 54}{space 4}-.0424143{col 67}{space 3} .2123083
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2} .0071435{col 26}{space 2} .0549896{col 37}{space 1}    0.13{col 46}{space 3}0.897{col 54}{space 4}-.1014504{col 67}{space 3} .1157374
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2}-.0060503{col 26}{space 2} .0066157{col 37}{space 1}   -0.91{col 46}{space 3}0.362{col 54}{space 4}-.0191149{col 67}{space 3} .0070144
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2} .0176033{col 26}{space 2} .0189911{col 37}{space 1}    0.93{col 46}{space 3}0.355{col 54}{space 4}-.0199005{col 67}{space 3}  .055107
{txt}c_treatful.. {c |}{col 14}{res}{space 2}-.1729596{col 26}{space 2} .0827767{col 37}{space 1}   -2.09{col 46}{space 3}0.038{col 54}{space 4}-.3364277{col 67}{space 3}-.0094916
{txt}c_treatful.. {c |}{col 14}{res}{space 2}-.0033758{col 26}{space 2} .0079853{col 37}{space 1}   -0.42{col 46}{space 3}0.673{col 54}{space 4}-.0191452{col 67}{space 3} .0123937
{txt}c_treatful.. {c |}{col 14}{res}{space 2}-.0081126{col 26}{space 2} .0258881{col 37}{space 1}   -0.31{col 46}{space 3}0.754{col 54}{space 4}-.0592366{col 67}{space 3} .0430115
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} .0667383{col 26}{space 2} .0085132{col 37}{space 1}    7.84{col 46}{space 3}0.000{col 54}{space 4} .0499263{col 67}{space 3} .0835502
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull + treatfull_outsideoption = 0{p_end}

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}e_mortrat~05{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}(1) {c |}{col 14}{res}{space 2}-.0028736{col 26}{space 2} .0115626{col 37}{space 1}   -0.25{col 46}{space 3}0.804{col 54}{space 4}-.0257075{col 67}{space 3} .0199603
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull + treatfull_outsideoption = 0{p_end}

{txt}       F(  1,   161) ={res}    0.06
{txt}{col 13}Prob > F ={res}    0.8040

{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}       187
{txt}{col 49}F({res}  10{txt},{res}    161{txt}){col 67}= {res}      0.74
{txt}{col 49}Prob > F{col 67}= {res}    0.6843
{txt}{col 49}R-squared{col 67}= {res}    0.0874
{txt}{col 49}Adj R-squared{col 67}= {res}   -0.0543
{txt}{col 49}Root MSE{col 67}= {res}    0.7073

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}e_h_ctzpre_z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2}-.0564771{col 26}{space 2} .1667264{col 37}{space 1}   -0.34{col 46}{space 3}0.735{col 54}{space 4}-.3857297{col 67}{space 3} .2727756
{txt}treatfull_~n {c |}{col 14}{res}{space 2}-.1474101{col 26}{space 2} .2327855{col 37}{space 1}   -0.63{col 46}{space 3}0.527{col 54}{space 4}-.6071168{col 67}{space 3} .3122966
{txt}b_h_outsid~d {c |}{col 14}{res}{space 2} .0545299{col 26}{space 2}  .150027{col 37}{space 1}    0.36{col 46}{space 3}0.717{col 54}{space 4}-.2417446{col 67}{space 3} .3508043
{txt}b_h_ctzpre_z {c |}{col 14}{res}{space 2} .0075984{col 26}{space 2} .0631721{col 37}{space 1}    0.12{col 46}{space 3}0.904{col 54}{space 4}-.1171544{col 67}{space 3} .1323512
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2}-.5198978{col 26}{space 2} .5479581{col 37}{space 1}   -0.95{col 46}{space 3}0.344{col 54}{space 4} -1.60201{col 67}{space 3} .5622143
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2}-.0098407{col 26}{space 2} .0867332{col 37}{space 1}   -0.11{col 46}{space 3}0.910{col 54}{space 4}-.1811221{col 67}{space 3} .1614407
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2}-.2383951{col 26}{space 2} .2381594{col 37}{space 1}   -1.00{col 46}{space 3}0.318{col 54}{space 4}-.7087143{col 67}{space 3}  .231924
{txt}c_treatful.. {c |}{col 14}{res}{space 2} .5173658{col 26}{space 2} 1.150799{col 37}{space 1}    0.45{col 46}{space 3}0.654{col 54}{space 4}-1.755241{col 67}{space 3} 2.789973
{txt}c_treatful.. {c |}{col 14}{res}{space 2} .0854136{col 26}{space 2} .1088813{col 37}{space 1}    0.78{col 46}{space 3}0.434{col 54}{space 4}-.1296061{col 67}{space 3} .3004333
{txt}c_treatful.. {c |}{col 14}{res}{space 2} .1917896{col 26}{space 2} .2609809{col 37}{space 1}    0.73{col 46}{space 3}0.463{col 54}{space 4}-.3235976{col 67}{space 3} .7071769
{txt}{space 7}_cons {c |}{col 14}{res}{space 2}-.0111359{col 26}{space 2} .1047722{col 37}{space 1}   -0.11{col 46}{space 3}0.915{col 54}{space 4}-.2180409{col 67}{space 3}  .195769
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull + treatfull_outsideoption = 0{p_end}

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}e_h_ctzpre_z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}(1) {c |}{col 14}{res}{space 2}-.2038872{col 26}{space 2} .1487444{col 37}{space 1}   -1.37{col 46}{space 3}0.172{col 54}{space 4}-.4976289{col 67}{space 3} .0898545
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull + treatfull_outsideoption = 0{p_end}

{txt}       F(  1,   161) ={res}    1.88
{txt}{col 13}Prob > F ={res}    0.1724
{txt}
{com}.                 
.         * Subgroup Effects: Embededness Index
.         
.         foreach x in `indices_hc' {c -(}
{txt}  2{com}.         
.                 areg e_`x' treatfull treatfull_embededness b_h_embed_index_z_med_d b_`x' `e_controls_tfull_hc' `treatfull_hc_int_e_controls' if uniquehc == 1, robust a(district)
{txt}  3{com}.                 eststo e_`x'_embededness
{txt}  4{com}.                 local n_embed_`x' = string(e(N),"%9.0fc")
{txt}  5{com}.                 local r2_embed_`x' = string(e(r2),"%9.3fc")
{txt}  6{com}.                 
.                 lincom treatfull + treatfull_embededness
{txt}  7{com}.                 local est_embed_`x' = r(estimate)
{txt}  8{com}.                 local se_embed_`x' = r(se)
{txt}  9{com}.                 test treatfull + treatfull_embededness = 0
{txt} 10{com}.                 local p_embed_`x' = r(p)
{txt} 11{com}.                 
.                 local est_bembed_`x' = string(_b[treatfull],"%9.3fc")
{txt} 12{com}.                 local se_bembed_`x' = string(_se[treatfull],"%9.3fc")
{txt} 13{com}.                 local p_bembed_`x' = (2 * ttail(e(df_r), abs(_b[treatfull]/_se[treatfull])))
{txt} 14{com}.                 
.                 local est_tmxembed_`x' = string(_b[treatfull_embededness],"%9.3fc")
{txt} 15{com}.                 local se_tmxembed_`x' = string(_se[treatfull_embededness],"%9.3fc")
{txt} 16{com}.                 local p_tmxembed_`x' = (2 * ttail(e(df_r), abs(_b[treatfull_embededness]/_se[treatfull_embededness])))
{txt} 17{com}.                 
.                 local est_smembed_`x' = string(_b[b_h_embed_index_z_med_d],"%9.3fc")
{txt} 18{com}.                 local se_smembed_`x' = string(_se[b_h_embed_index_z_med_d],"%9.3fc")
{txt} 19{com}.                 local p_smembed_`x' = (2 * ttail(e(df_r), abs(_b[b_h_embed_index_z_med_d]/_se[b_h_embed_index_z_med_d])))
{txt} 20{com}.                 
.                 local est_cembed_`x' = string(_b[_cons],"%9.3fc")
{txt} 21{com}.                 local se_cembed_`x' = string(_se[_cons],"%9.3fc")
{txt} 22{com}.                 local p_cembed_`x' = (2 * ttail(e(df_r), abs(_b[_cons]/_se[_cons])))
{txt} 23{com}.                 
.                 foreach var in bembed tmxembed smembed cembed {c -(}
{txt} 24{com}.                         
.                         gen sign_`var'_zero_`x' = (`p_`var'_`x''>0.1)
{txt} 25{com}.                         gen sign_`var'_p1s_`x' = (`p_`var'_`x''<=0.1 & `p_`var'_`x''>0.05 & `est_`var'_`x''>0)
{txt} 26{com}.                         gen sign_`var'_p2s_`x' = (`p_`var'_`x''<=0.05 & `p_`var'_`x''>0.01 & `est_`var'_`x''>0)
{txt} 27{com}.                         gen sign_`var'_p3s_`x' = (`p_`var'_`x''<=0.01 & `p_`var'_`x''>=0 & `est_`var'_`x''>0)
{txt} 28{com}.                         gen sign_`var'_m1s_`x' = (`p_`var'_`x''<=0.1 & `p_`var'_`x''>0.05 & `est_`var'_`x''<0)
{txt} 29{com}.                         gen sign_`var'_m2s_`x' = (`p_`var'_`x''<=0.05 & `p_`var'_`x''>0.01 & `est_`var'_`x''<0)
{txt} 30{com}.                         gen sign_`var'_m3s_`x' = (`p_`var'_`x''<=0.01 & `p_`var'_`x''>=0 & `est_`var'_`x''<0)
{txt} 31{com}.                         
.                         if sign_`var'_p1s_`x' == 1 {c -(}
{txt} 32{com}.                                         local sign_`var'_`x' = "\cellcolor[HTML]{c -(}EFEFEF{c )-}+"
{txt} 33{com}.                                         local est_`var'_`x' = "`est_`var'_`x''*"
{txt} 34{com}.                                         {c )-}
{txt} 35{com}.                                         
.                         if sign_`var'_p2s_`x' == 1 {c -(}    
{txt} 36{com}.                                         local sign_`var'_`x' = "\cellcolor[HTML]{c -(}C0C0C0{c )-}+"
{txt} 37{com}.                                         local est_`var'_`x' = "`est_`var'_`x''**"
{txt} 38{com}.                                         {c )-}
{txt} 39{com}.                                         
.                         if sign_`var'_p3s_`x' == 1 {c -(}    
{txt} 40{com}.                                         local sign_`var'_`x' = "\cellcolor[HTML]{c -(}9B9B9B{c )-}+"
{txt} 41{com}.                                         local est_`var'_`x' = "`est_`var'_`x''***"
{txt} 42{com}.                                         {c )-}
{txt} 43{com}.                                 
.                         if sign_`var'_m1s_`x' == 1 {c -(}
{txt} 44{com}.                                         local sign_`var'_`x' = "\cellcolor[HTML]{c -(}EFEFEF{c )-}-"
{txt} 45{com}.                                         local est_`var'_`x' = "`est_`var'_`x''*"
{txt} 46{com}.                                         {c )-}
{txt} 47{com}.                                         
.                         if sign_`var'_m2s_`x' == 1 {c -(}    
{txt} 48{com}.                                         local sign_`var'_`x' = "\cellcolor[HTML]{c -(}C0C0C0{c )-}-"
{txt} 49{com}.                                         local est_`var'_`x' = "`est_`var'_`x''**"
{txt} 50{com}.                                         {c )-}
{txt} 51{com}.                                         
.                         if sign_`var'_m3s_`x' == 1 {c -(}    
{txt} 52{com}.                                         local sign_`var'_`x' = "\cellcolor[HTML]{c -(}9B9B9B{c )-}-"
{txt} 53{com}.                                         local est_`var'_`x' = "`est_`var'_`x''***"
{txt} 54{com}.                                         {c )-}
{txt} 55{com}.                                 
.                         if sign_`var'_zero_`x' == 1 {c -(}
{txt} 56{com}.                                 local sign_`var'_`x' = "0"
{txt} 57{com}.                                 {c )-}
{txt} 58{com}.                                 
.                         {c )-}
{txt} 59{com}.                                 
.                 gen sign_embed_zero_`x' = (`p_embed_`x''>0.1)
{txt} 60{com}.                 gen sign_embed_p1s_`x' = (`p_embed_`x''<=0.1 & `p_embed_`x''>0.05 & `est_embed_`x''>0)
{txt} 61{com}.                 gen sign_embed_p2s_`x' = (`p_embed_`x''<=0.05 & `p_embed_`x''>0.01 & `est_embed_`x''>0)
{txt} 62{com}.                 gen sign_embed_p3s_`x' = (`p_embed_`x''<=0.01 & `p_embed_`x''>=0 & `est_embed_`x''>0)
{txt} 63{com}.                 gen sign_embed_m1s_`x' = (`p_embed_`x''<=0.1 & `p_embed_`x''>0.05 & `est_embed_`x''<0)
{txt} 64{com}.                 gen sign_embed_m2s_`x' = (`p_embed_`x''<=0.05 & `p_embed_`x''>0.01 & `est_embed_`x''<0)
{txt} 65{com}.                 gen sign_embed_m3s_`x' = (`p_embed_`x''<=0.01 & `p_embed_`x''>=0 & `est_embed_`x''<0)
{txt} 66{com}.                 
.                 local p_embed_`x' = string(`p_embed_`x'',"%9.3fc")
{txt} 67{com}.                 local est_embed_`x' = string(`est_embed_`x'',"%9.3fc")
{txt} 68{com}.                 local se_embed_`x' = string(`se_embed_`x'',"%9.3fc")
{txt} 69{com}.                 
.                 if sign_embed_p1s_`x' == 1 {c -(}
{txt} 70{com}.                                 local sign_embed_`x' = "\cellcolor[HTML]{c -(}EFEFEF{c )-}+"
{txt} 71{com}.                                 local est_embed_`x' = "`est_embed_`x''*"
{txt} 72{com}.                                 {c )-}
{txt} 73{com}.                                 
.                 if sign_embed_p2s_`x' == 1 {c -(}    
{txt} 74{com}.                                 local sign_embed_`x' = "\cellcolor[HTML]{c -(}C0C0C0{c )-}+"
{txt} 75{com}.                                 local est_embed_`x' = "`est_embed_`x''**"
{txt} 76{com}.                                 {c )-}
{txt} 77{com}.                                 
.                 if sign_embed_p3s_`x' == 1 {c -(}    
{txt} 78{com}.                                 local sign_embed_`x' = "\cellcolor[HTML]{c -(}9B9B9B{c )-}+"
{txt} 79{com}.                                 local est_embed_`x' = "`est_embed_`x''***"
{txt} 80{com}.                                 {c )-}
{txt} 81{com}.                         
.                 if sign_embed_m1s_`x' == 1 {c -(}
{txt} 82{com}.                                 local sign_embed_`x' = "\cellcolor[HTML]{c -(}EFEFEF{c )-}-"
{txt} 83{com}.                                 local est_embed_`x' = "`est_embed_`x''*"
{txt} 84{com}.                                 {c )-}
{txt} 85{com}.                                 
.                 if sign_embed_m2s_`x' == 1 {c -(}    
{txt} 86{com}.                                 local sign_embed_`x' = "\cellcolor[HTML]{c -(}C0C0C0{c )-}-"
{txt} 87{com}.                                 local est_embed_`x' = "`est_embed_`x''**"
{txt} 88{com}.                                 {c )-}
{txt} 89{com}.                                 
.                 if sign_embed_m3s_`x' == 1 {c -(}    
{txt} 90{com}.                                 local sign_embed_`x' = "\cellcolor[HTML]{c -(}9B9B9B{c )-}-"
{txt} 91{com}.                                 local est_embed_`x' = "`est_embed_`x''***"
{txt} 92{com}.                                 {c )-}
{txt} 93{com}.                         
.                 if sign_embed_zero_`x' == 1 {c -(}
{txt} 94{com}.                         local sign_embed_`x' = "0"
{txt} 95{com}.                         {c )-}
{txt} 96{com}.                 
.                 drop sign_*
{txt} 97{com}.                 
.                 {c )-}
{res}
{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}       187
{txt}{col 49}F({res}  10{txt},{res}    161{txt}){col 67}= {res}      1.22
{txt}{col 49}Prob > F{col 67}= {res}    0.2836
{txt}{col 49}R-squared{col 67}= {res}    0.1832
{txt}{col 49}Adj R-squared{col 67}= {res}    0.0563
{txt}{col 49}Root MSE{col 67}= {res}    0.0532

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}e_mortrat~05{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2}-.0120519{col 26}{space 2} .0093624{col 37}{space 1}   -1.29{col 46}{space 3}0.200{col 54}{space 4}-.0305408{col 67}{space 3}  .006437
{txt}treatfull_~s {c |}{col 14}{res}{space 2} .0037684{col 26}{space 2} .0156042{col 37}{space 1}    0.24{col 46}{space 3}0.809{col 54}{space 4}-.0270469{col 67}{space 3} .0345838
{txt}b_h_embe~d_d {c |}{col 14}{res}{space 2}-.0000822{col 26}{space 2} .0116018{col 37}{space 1}   -0.01{col 46}{space 3}0.994{col 54}{space 4}-.0229936{col 67}{space 3} .0228291
{txt}b_mortrat~05 {c |}{col 14}{res}{space 2} .0788493{col 26}{space 2} .0659066{col 37}{space 1}    1.20{col 46}{space 3}0.233{col 54}{space 4}-.0513037{col 67}{space 3} .2090022
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2} .0233137{col 26}{space 2} .0539236{col 37}{space 1}    0.43{col 46}{space 3}0.666{col 54}{space 4}-.0831751{col 67}{space 3} .1298026
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2}-.0064344{col 26}{space 2} .0067025{col 37}{space 1}   -0.96{col 46}{space 3}0.338{col 54}{space 4}-.0196706{col 67}{space 3} .0068017
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2} .0131818{col 26}{space 2} .0195026{col 37}{space 1}    0.68{col 46}{space 3}0.500{col 54}{space 4}-.0253322{col 67}{space 3} .0516958
{txt}c_treatful.. {c |}{col 14}{res}{space 2}-.1871535{col 26}{space 2} .0845759{col 37}{space 1}   -2.21{col 46}{space 3}0.028{col 54}{space 4}-.3541748{col 67}{space 3}-.0201323
{txt}c_treatful.. {c |}{col 14}{res}{space 2}-.0023254{col 26}{space 2} .0081689{col 37}{space 1}   -0.28{col 46}{space 3}0.776{col 54}{space 4}-.0184575{col 67}{space 3} .0138066
{txt}c_treatful.. {c |}{col 14}{res}{space 2}-.0089984{col 26}{space 2} .0258424{col 37}{space 1}   -0.35{col 46}{space 3}0.728{col 54}{space 4}-.0600321{col 67}{space 3} .0420353
{txt}{space 7}_cons {c |}{col 14}{res}{space 2}  .060653{col 26}{space 2} .0079689{col 37}{space 1}    7.61{col 46}{space 3}0.000{col 54}{space 4} .0449159{col 67}{space 3} .0763901
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull + treatfull_embededness = 0{p_end}

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}e_mortrat~05{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}(1) {c |}{col 14}{res}{space 2}-.0082835{col 26}{space 2} .0126705{col 37}{space 1}   -0.65{col 46}{space 3}0.514{col 54}{space 4}-.0333053{col 67}{space 3} .0167383
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull + treatfull_embededness = 0{p_end}

{txt}       F(  1,   161) ={res}    0.43
{txt}{col 13}Prob > F ={res}    0.5142

{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}       187
{txt}{col 49}F({res}  10{txt},{res}    161{txt}){col 67}= {res}      0.77
{txt}{col 49}Prob > F{col 67}= {res}    0.6579
{txt}{col 49}R-squared{col 67}= {res}    0.0996
{txt}{col 49}Adj R-squared{col 67}= {res}   -0.0402
{txt}{col 49}Root MSE{col 67}= {res}    0.7025

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}e_h_ctzpre_z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2}-.1876488{col 26}{space 2} .1565165{col 37}{space 1}   -1.20{col 46}{space 3}0.232{col 54}{space 4}-.4967388{col 67}{space 3} .1214412
{txt}treatfull_~s {c |}{col 14}{res}{space 2} .1212307{col 26}{space 2} .2344976{col 37}{space 1}    0.52{col 46}{space 3}0.606{col 54}{space 4}-.3418571{col 67}{space 3} .5843184
{txt}b_h_embe~d_d {c |}{col 14}{res}{space 2} .1115935{col 26}{space 2} .1513059{col 37}{space 1}    0.74{col 46}{space 3}0.462{col 54}{space 4}-.1872066{col 67}{space 3} .4103936
{txt}b_h_ctzpre_z {c |}{col 14}{res}{space 2}-.0009301{col 26}{space 2}  .063192{col 37}{space 1}   -0.01{col 46}{space 3}0.988{col 54}{space 4}-.1257221{col 67}{space 3} .1238619
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2}-.6497597{col 26}{space 2}   .54869{col 37}{space 1}   -1.18{col 46}{space 3}0.238{col 54}{space 4}-1.733317{col 67}{space 3} .4337977
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2}-.0093682{col 26}{space 2} .0893308{col 37}{space 1}   -0.10{col 46}{space 3}0.917{col 54}{space 4}-.1857795{col 67}{space 3} .1670431
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2}-.2608774{col 26}{space 2} .2466781{col 37}{space 1}   -1.06{col 46}{space 3}0.292{col 54}{space 4}-.7480193{col 67}{space 3} .2262645
{txt}c_treatful.. {c |}{col 14}{res}{space 2}  .521037{col 26}{space 2} .9799166{col 37}{space 1}    0.53{col 46}{space 3}0.596{col 54}{space 4} -1.41411{col 67}{space 3} 2.456184
{txt}c_treatful.. {c |}{col 14}{res}{space 2}  .107653{col 26}{space 2} .1177267{col 37}{space 1}    0.91{col 46}{space 3}0.362{col 54}{space 4}-.1248346{col 67}{space 3} .3401405
{txt}c_treatful.. {c |}{col 14}{res}{space 2} .0645895{col 26}{space 2} .2894768{col 37}{space 1}    0.22{col 46}{space 3}0.824{col 54}{space 4}-.5070716{col 67}{space 3} .6362505
{txt}{space 7}_cons {c |}{col 14}{res}{space 2}-.0439269{col 26}{space 2}  .102698{col 37}{space 1}   -0.43{col 46}{space 3}0.669{col 54}{space 4}-.2467357{col 67}{space 3} .1588818
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull + treatfull_embededness = 0{p_end}

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}e_h_ctzpre_z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}(1) {c |}{col 14}{res}{space 2}-.0664182{col 26}{space 2} .1577493{col 37}{space 1}   -0.42{col 46}{space 3}0.674{col 54}{space 4}-.3779427{col 67}{space 3} .2451064
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull + treatfull_embededness = 0{p_end}

{txt}       F(  1,   161) ={res}    0.18
{txt}{col 13}Prob > F ={res}    0.6743
{txt}
{com}.                 
.         * Subgroup Effects: Collective Action Potential
.         
.         foreach x in `indices_hc' {c -(}
{txt}  2{com}.         
.                 areg e_`x' treatfull treatfull_capotential b_capotential_z_med_d b_`x' `e_controls_tfull_hc' `treatfull_hc_int_e_controls' if uniquehc == 1, robust a(district)
{txt}  3{com}.                 eststo e_`x'_cap
{txt}  4{com}.                 local n_cap_`x' = string(e(N),"%9.0fc")
{txt}  5{com}.                 local r2_cap_`x' = string(e(r2),"%9.3fc")
{txt}  6{com}.                 
.                 lincom treatfull + treatfull_capotential
{txt}  7{com}.                 local est_cap_`x' = r(estimate)
{txt}  8{com}.                 local se_cap_`x' = r(se)
{txt}  9{com}.                 test treatfull + treatfull_capotential = 0
{txt} 10{com}.                 local p_cap_`x' = r(p)
{txt} 11{com}.                 
.                 local est_bcap_`x' = string(_b[treatfull],"%9.3fc")
{txt} 12{com}.                 local se_bcap_`x' = string(_se[treatfull],"%9.3fc")
{txt} 13{com}.                 local p_bcap_`x' = (2 * ttail(e(df_r), abs(_b[treatfull]/_se[treatfull])))
{txt} 14{com}.                 
.                 local est_tmxcap_`x' = string(_b[treatfull_capotential],"%9.3fc")
{txt} 15{com}.                 local se_tmxcap_`x' = string(_se[treatfull_capotential],"%9.3fc")
{txt} 16{com}.                 local p_tmxcap_`x' = (2 * ttail(e(df_r), abs(_b[treatfull_capotential]/_se[treatfull_capotential])))
{txt} 17{com}.                 
.                 local est_smcap_`x' = string(_b[b_capotential_z_med_d],"%9.3fc")
{txt} 18{com}.                 local se_smcap_`x' = string(_se[b_capotential_z_med_d],"%9.3fc")
{txt} 19{com}.                 local p_smcap_`x' = (2 * ttail(e(df_r), abs(_b[b_capotential_z_med_d]/_se[b_capotential_z_med_d])))
{txt} 20{com}.                 
.                 local est_ccap_`x' = string(_b[_cons],"%9.3fc")
{txt} 21{com}.                 local se_ccap_`x' = string(_se[_cons],"%9.3fc")
{txt} 22{com}.                 local p_ccap_`x' = (2 * ttail(e(df_r), abs(_b[_cons]/_se[_cons])))
{txt} 23{com}.                 
.                 foreach var in bcap tmxcap smcap ccap {c -(}
{txt} 24{com}.                 
.                         gen sign_`var'_zero_`x' = (`p_`var'_`x''>0.1)
{txt} 25{com}.                         gen sign_`var'_p1s_`x' = (`p_`var'_`x''<=0.1 & `p_`var'_`x''>0.05 & `est_`var'_`x''>0)
{txt} 26{com}.                         gen sign_`var'_p2s_`x' = (`p_`var'_`x''<=0.05 & `p_`var'_`x''>0.01 & `est_`var'_`x''>0)
{txt} 27{com}.                         gen sign_`var'_p3s_`x' = (`p_`var'_`x''<=0.01 & `p_`var'_`x''>=0 & `est_`var'_`x''>0)
{txt} 28{com}.                         gen sign_`var'_m1s_`x' = (`p_`var'_`x''<=0.1 & `p_`var'_`x''>0.05 & `est_`var'_`x''<0)
{txt} 29{com}.                         gen sign_`var'_m2s_`x' = (`p_`var'_`x''<=0.05 & `p_`var'_`x''>0.01 & `est_`var'_`x''<0)
{txt} 30{com}.                         gen sign_`var'_m3s_`x' = (`p_`var'_`x''<=0.01 & `p_`var'_`x''>=0 & `est_`var'_`x''<0)
{txt} 31{com}.                         
.                         if sign_`var'_p1s_`x' == 1 {c -(}
{txt} 32{com}.                                         local sign_`var'_`x' = "\cellcolor[HTML]{c -(}EFEFEF{c )-}+"
{txt} 33{com}.                                         local est_`var'_`x' = "`est_`var'_`x''*"
{txt} 34{com}.                                         {c )-}
{txt} 35{com}.                                         
.                         if sign_`var'_p2s_`x' == 1 {c -(}    
{txt} 36{com}.                                         local sign_`var'_`x' = "\cellcolor[HTML]{c -(}C0C0C0{c )-}+"
{txt} 37{com}.                                         local est_`var'_`x' = "`est_`var'_`x''**"
{txt} 38{com}.                                         {c )-}
{txt} 39{com}.                                         
.                         if sign_`var'_p3s_`x' == 1 {c -(}    
{txt} 40{com}.                                         local sign_`var'_`x' = "\cellcolor[HTML]{c -(}9B9B9B{c )-}+"
{txt} 41{com}.                                         local est_`var'_`x' = "`est_`var'_`x''***"
{txt} 42{com}.                                         {c )-}
{txt} 43{com}.                                 
.                         if sign_`var'_m1s_`x' == 1 {c -(}
{txt} 44{com}.                                         local sign_`var'_`x' = "\cellcolor[HTML]{c -(}EFEFEF{c )-}-"
{txt} 45{com}.                                         local est_`var'_`x' = "`est_`var'_`x''*"
{txt} 46{com}.                                         {c )-}
{txt} 47{com}.                                         
.                         if sign_`var'_m2s_`x' == 1 {c -(}    
{txt} 48{com}.                                         local sign_`var'_`x' = "\cellcolor[HTML]{c -(}C0C0C0{c )-}-"
{txt} 49{com}.                                         local est_`var'_`x' = "`est_`var'_`x''**"
{txt} 50{com}.                                         {c )-}
{txt} 51{com}.                                         
.                         if sign_`var'_m3s_`x' == 1 {c -(}    
{txt} 52{com}.                                         local sign_`var'_`x' = "\cellcolor[HTML]{c -(}9B9B9B{c )-}-"
{txt} 53{com}.                                         local est_`var'_`x' = "`est_`var'_`x''***"
{txt} 54{com}.                                         {c )-}
{txt} 55{com}.                                 
.                         if sign_`var'_zero_`x' == 1 {c -(}
{txt} 56{com}.                                 local sign_`var'_`x' = "0"
{txt} 57{com}.                                 {c )-}
{txt} 58{com}.                                 
.                         {c )-}
{txt} 59{com}.                         
.                 gen sign_cap_zero_`x' = (`p_cap_`x''>0.1)
{txt} 60{com}.                 gen sign_cap_p1s_`x' = (`p_cap_`x''<=0.1 & `p_cap_`x''>0.05 & `est_cap_`x''>0)
{txt} 61{com}.                 gen sign_cap_p2s_`x' = (`p_cap_`x''<=0.05 & `p_cap_`x''>0.01 & `est_cap_`x''>0)
{txt} 62{com}.                 gen sign_cap_p3s_`x' = (`p_cap_`x''<=0.01 & `p_cap_`x''>=0 & `est_cap_`x''>0)
{txt} 63{com}.                 gen sign_cap_m1s_`x' = (`p_cap_`x''<=0.1 & `p_cap_`x''>0.05 & `est_cap_`x''<0)
{txt} 64{com}.                 gen sign_cap_m2s_`x' = (`p_cap_`x''<=0.05 & `p_cap_`x''>0.01 & `est_cap_`x''<0)
{txt} 65{com}.                 gen sign_cap_m3s_`x' = (`p_cap_`x''<=0.01 & `p_cap_`x''>=0 & `est_cap_`x''<0)
{txt} 66{com}.                 
.                 local p_cap_`x' = string(`p_cap_`x'',"%9.3fc")
{txt} 67{com}.                 local est_cap_`x' = string(`est_cap_`x'',"%9.3fc")
{txt} 68{com}.                 local se_cap_`x' = string(`se_cap_`x'',"%9.3fc")
{txt} 69{com}.                 
.                 if sign_cap_p1s_`x' == 1 {c -(}
{txt} 70{com}.                                 local sign_cap_`x' = "\cellcolor[HTML]{c -(}EFEFEF{c )-}+"
{txt} 71{com}.                                 local est_cap_`x' = "`est_cap_`x''*"
{txt} 72{com}.                                 {c )-}
{txt} 73{com}.                                 
.                 if sign_cap_p2s_`x' == 1 {c -(}      
{txt} 74{com}.                                 local sign_cap_`x' = "\cellcolor[HTML]{c -(}C0C0C0{c )-}+"
{txt} 75{com}.                                 local est_cap_`x' = "`est_cap_`x''**"
{txt} 76{com}.                                 {c )-}
{txt} 77{com}.                                 
.                 if sign_cap_p3s_`x' == 1 {c -(}      
{txt} 78{com}.                                 local sign_cap_`x' = "\cellcolor[HTML]{c -(}9B9B9B{c )-}+"
{txt} 79{com}.                                 local est_cap_`x' = "`est_cap_`x''***"
{txt} 80{com}.                                 {c )-}
{txt} 81{com}.                         
.                 if sign_cap_m1s_`x' == 1 {c -(}
{txt} 82{com}.                                 local sign_cap_`x' = "\cellcolor[HTML]{c -(}EFEFEF{c )-}-"
{txt} 83{com}.                                 local est_cap_`x' = "`est_cap_`x''*"
{txt} 84{com}.                                 {c )-}
{txt} 85{com}.                                 
.                 if sign_cap_m2s_`x' == 1 {c -(}      
{txt} 86{com}.                                 local sign_cap_`x' = "\cellcolor[HTML]{c -(}C0C0C0{c )-}-"
{txt} 87{com}.                                 local est_cap_`x' = "`est_cap_`x''**"
{txt} 88{com}.                                 {c )-}
{txt} 89{com}.                                 
.                 if sign_cap_m3s_`x' == 1 {c -(}      
{txt} 90{com}.                                 local sign_cap_`x' = "\cellcolor[HTML]{c -(}9B9B9B{c )-}-"
{txt} 91{com}.                                 local est_cap_`x' = "`est_cap_`x''***"
{txt} 92{com}.                                 {c )-}
{txt} 93{com}.                         
.                 if sign_cap_zero_`x' == 1 {c -(}
{txt} 94{com}.                         local sign_cap_`x' = "0"
{txt} 95{com}.                         {c )-}
{txt} 96{com}.                 
.                 drop sign_*
{txt} 97{com}.                 
.                 {c )-}
{res}
{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}       187
{txt}{col 49}F({res}  10{txt},{res}    161{txt}){col 67}= {res}      1.20
{txt}{col 49}Prob > F{col 67}= {res}    0.2942
{txt}{col 49}R-squared{col 67}= {res}    0.1837
{txt}{col 49}Adj R-squared{col 67}= {res}    0.0570
{txt}{col 49}Root MSE{col 67}= {res}    0.0532

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}e_mortrat~05{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2}-.0074278{col 26}{space 2} .0119808{col 37}{space 1}   -0.62{col 46}{space 3}0.536{col 54}{space 4}-.0310875{col 67}{space 3} .0162319
{txt}treatful~ial {c |}{col 14}{res}{space 2}-.0047304{col 26}{space 2} .0166727{col 37}{space 1}   -0.28{col 46}{space 3}0.777{col 54}{space 4}-.0376558{col 67}{space 3}  .028195
{txt}b_capotent.. {c |}{col 14}{res}{space 2} .0053417{col 26}{space 2} .0125295{col 37}{space 1}    0.43{col 46}{space 3}0.670{col 54}{space 4}-.0194016{col 67}{space 3} .0300851
{txt}b_mortrat~05 {c |}{col 14}{res}{space 2} .0775689{col 26}{space 2} .0666261{col 37}{space 1}    1.16{col 46}{space 3}0.246{col 54}{space 4}-.0540049{col 67}{space 3} .2091427
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2} .0222195{col 26}{space 2} .0550259{col 37}{space 1}    0.40{col 46}{space 3}0.687{col 54}{space 4}-.0864461{col 67}{space 3} .1308852
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2}-.0068334{col 26}{space 2} .0069196{col 37}{space 1}   -0.99{col 46}{space 3}0.325{col 54}{space 4}-.0204983{col 67}{space 3} .0068316
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2} .0149799{col 26}{space 2} .0204505{col 37}{space 1}    0.73{col 46}{space 3}0.465{col 54}{space 4}-.0254059{col 67}{space 3} .0553656
{txt}c_treatful.. {c |}{col 14}{res}{space 2}-.1801478{col 26}{space 2} .0847506{col 37}{space 1}   -2.13{col 46}{space 3}0.035{col 54}{space 4}-.3475138{col 67}{space 3}-.0127817
{txt}c_treatful.. {c |}{col 14}{res}{space 2}-.0027734{col 26}{space 2} .0082737{col 37}{space 1}   -0.34{col 46}{space 3}0.738{col 54}{space 4}-.0191124{col 67}{space 3} .0135656
{txt}c_treatful.. {c |}{col 14}{res}{space 2}-.0071156{col 26}{space 2} .0263144{col 37}{space 1}   -0.27{col 46}{space 3}0.787{col 54}{space 4}-.0590816{col 67}{space 3} .0448503
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} .0575591{col 26}{space 2}  .009378{col 37}{space 1}    6.14{col 46}{space 3}0.000{col 54}{space 4} .0390393{col 67}{space 3} .0760789
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull + treatfull_capotential = 0{p_end}

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}e_mortrat~05{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}(1) {c |}{col 14}{res}{space 2}-.0121582{col 26}{space 2} .0109594{col 37}{space 1}   -1.11{col 46}{space 3}0.269{col 54}{space 4} -.033801{col 67}{space 3} .0094846
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull + treatfull_capotential = 0{p_end}

{txt}       F(  1,   161) ={res}    1.23
{txt}{col 13}Prob > F ={res}    0.2689

{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}       187
{txt}{col 49}F({res}  10{txt},{res}    161{txt}){col 67}= {res}      0.86
{txt}{col 49}Prob > F{col 67}= {res}    0.5703
{txt}{col 49}R-squared{col 67}= {res}    0.0944
{txt}{col 49}Adj R-squared{col 67}= {res}   -0.0462
{txt}{col 49}Root MSE{col 67}= {res}    0.7045

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}e_h_ctzpre_z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2}-.1916806{col 26}{space 2} .1490713{col 37}{space 1}   -1.29{col 46}{space 3}0.200{col 54}{space 4}-.4860677{col 67}{space 3} .1027066
{txt}treatful~ial {c |}{col 14}{res}{space 2}  .104347{col 26}{space 2} .2011872{col 37}{space 1}    0.52{col 46}{space 3}0.605{col 54}{space 4}-.2929591{col 67}{space 3} .5016531
{txt}b_capotent.. {c |}{col 14}{res}{space 2}-.1855505{col 26}{space 2} .1358959{col 37}{space 1}   -1.37{col 46}{space 3}0.174{col 54}{space 4}-.4539189{col 67}{space 3} .0828178
{txt}b_h_ctzpre_z {c |}{col 14}{res}{space 2} .0106715{col 26}{space 2} .0627155{col 37}{space 1}    0.17{col 46}{space 3}0.865{col 54}{space 4}-.1131795{col 67}{space 3} .1345225
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2}-.5053147{col 26}{space 2} .5638048{col 37}{space 1}   -0.90{col 46}{space 3}0.371{col 54}{space 4}-1.618721{col 67}{space 3} .6080917
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2} .0050134{col 26}{space 2} .0833018{col 37}{space 1}    0.06{col 46}{space 3}0.952{col 54}{space 4}-.1594917{col 67}{space 3} .1695185
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2}-.2799814{col 26}{space 2} .2374296{col 37}{space 1}   -1.18{col 46}{space 3}0.240{col 54}{space 4}-.7488593{col 67}{space 3} .1888964
{txt}c_treatful.. {c |}{col 14}{res}{space 2} .6938949{col 26}{space 2} 1.042841{col 37}{space 1}    0.67{col 46}{space 3}0.507{col 54}{space 4}-1.365516{col 67}{space 3} 2.753306
{txt}c_treatful.. {c |}{col 14}{res}{space 2} .0941196{col 26}{space 2} .1128534{col 37}{space 1}    0.83{col 46}{space 3}0.406{col 54}{space 4}-.1287441{col 67}{space 3} .3169834
{txt}c_treatful.. {c |}{col 14}{res}{space 2} .1701063{col 26}{space 2}   .25882{col 37}{space 1}    0.66{col 46}{space 3}0.512{col 54}{space 4}-.3410137{col 67}{space 3} .6812262
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} .1193994{col 26}{space 2} .0929599{col 37}{space 1}    1.28{col 46}{space 3}0.201{col 54}{space 4}-.0641785{col 67}{space 3} .3029773
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull + treatfull_capotential = 0{p_end}

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}e_h_ctzpre_z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}(1) {c |}{col 14}{res}{space 2}-.0873335{col 26}{space 2} .1418905{col 37}{space 1}   -0.62{col 46}{space 3}0.539{col 54}{space 4}-.3675401{col 67}{space 3} .1928731
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull + treatfull_capotential = 0{p_end}

{txt}       F(  1,   161) ={res}    0.38
{txt}{col 13}Prob > F ={res}    0.5391
{txt}
{com}. 
.         
.         * Subgroup Effects: Community Monitoring
.         
.         * We local the vector of controls with HC level components
.         
.         local  e_controls_noprefix hc2 b_h_del b_h_staff_houses b_visited_d educyr b_assetindex
{txt}
{com}.                 
.         foreach x in e_ {c -(}
{txt}  2{com}.                 
.                 local `x'controls
{txt}  3{com}.                 local `x'controls_hc
{txt}  4{com}.                 
.                 local `x'controls_tfull
{txt}  5{com}.                 local `x'controls_tfull_hc
{txt}  6{com}.                         
.                 {c )-}
{txt}
{com}.                 
.         foreach x in e_ {c -(}
{txt}  2{com}.                 foreach var in treatfull {c -(}
{txt}  3{com}.                 
.                         local `var'_int_`x'controls
{txt}  4{com}.                         local `var'_hc_int_`x'controls
{txt}  5{com}.                         
.                         {c )-}
{txt}  6{com}.                 {c )-}
{txt}
{com}.                                 
.         foreach var of local e_controls_noprefix {c -(}
{txt}  2{com}.                 local e_controls `e_controls' c_`var'
{txt}  3{com}.                 local e_controls_tfull `e_controls_tfull' c_tfull_`var'
{txt}  4{com}.                 
.                 local e_controls_hc `e_controls_hc' c_hc_`var'
{txt}  5{com}.                 local e_controls_tfull_hc `e_controls_tfull_hc' c_tfull_hc_`var'
{txt}  6{com}.                 {c )-}
{txt}
{com}.                         
.         foreach treat in treatfull {c -(}
{txt}  2{com}.                 foreach var of local e_controls_noprefix {c -(}
{txt}  3{com}.                 
.                         local `treat'_int_e_controls ``treat'_int_e_controls' c_`treat'_`var'
{txt}  4{com}.                         local `treat'_hc_int_e_controls ``treat'_hc_int_e_controls' c_`treat'_hc_`var'
{txt}  5{com}.                         
.                         {c )-}
{txt}  6{com}.                 {c )-}
{txt}
{com}.                 
.         * We regress the results
.         
.         foreach x in `indices_hc' {c -(}
{txt}  2{com}.         
.                 areg e_`x' treatfull treatfull_commtg b_commtg_z_med_d b_`x' `e_controls_tfull_hc' `treatfull_hc_int_e_controls' if uniquehc == 1, robust a(district)
{txt}  3{com}.                 eststo e_`x'_commtg
{txt}  4{com}.                 local n_commtg_`x' = string(e(N),"%9.0fc")
{txt}  5{com}.                 local r2_commtg_`x' = string(e(r2),"%9.3fc")
{txt}  6{com}.                 
.                 lincom treatfull + treatfull_commtg
{txt}  7{com}.                 local est_commtg_`x' = r(estimate)
{txt}  8{com}.                 local se_commtg_`x' = r(se)
{txt}  9{com}.                 test treatfull + treatfull_commtg = 0
{txt} 10{com}.                 local p_commtg_`x' = r(p)
{txt} 11{com}.                 
.                 local est_bcommtg_`x' = string(_b[treatfull],"%9.3fc")
{txt} 12{com}.                 local se_bcommtg_`x' = string(_se[treatfull],"%9.3fc")
{txt} 13{com}.                 local p_bcommtg_`x' = (2 * ttail(e(df_r), abs(_b[treatfull]/_se[treatfull])))
{txt} 14{com}.                 
.                 local est_tmxcommtg_`x' = string(_b[treatfull_commtg],"%9.3fc")
{txt} 15{com}.                 local se_tmxcommtg_`x' = string(_se[treatfull_commtg],"%9.3fc")
{txt} 16{com}.                 local p_tmxcommtg_`x' = (2 * ttail(e(df_r), abs(_b[treatfull_commtg]/_se[treatfull_commtg])))
{txt} 17{com}.                 
.                 local est_smcommtg_`x' = string(_b[b_commtg_z_med_d],"%9.3fc")
{txt} 18{com}.                 local se_smcommtg_`x' = string(_se[b_commtg_z_med_d],"%9.3fc")
{txt} 19{com}.                 local p_smcommtg_`x' = (2 * ttail(e(df_r), abs(_b[b_commtg_z_med_d]/_se[b_commtg_z_med_d])))
{txt} 20{com}.                 
.                 local est_ccommtg_`x' = string(_b[_cons],"%9.3fc")
{txt} 21{com}.                 local se_ccommtg_`x' = string(_se[_cons],"%9.3fc")
{txt} 22{com}.                 local p_ccommtg_`x' = (2 * ttail(e(df_r), abs(_b[_cons]/_se[_cons])))
{txt} 23{com}.                 
.                 foreach var in bcommtg tmxcommtg smcommtg ccommtg {c -(}
{txt} 24{com}.                 
.                         gen sign_`var'_zero_`x' = (`p_`var'_`x''>0.1)
{txt} 25{com}.                         gen sign_`var'_p1s_`x' = (`p_`var'_`x''<=0.1 & `p_`var'_`x''>0.05 & `est_`var'_`x''>0)
{txt} 26{com}.                         gen sign_`var'_p2s_`x' = (`p_`var'_`x''<=0.05 & `p_`var'_`x''>0.01 & `est_`var'_`x''>0)
{txt} 27{com}.                         gen sign_`var'_p3s_`x' = (`p_`var'_`x''<=0.01 & `p_`var'_`x''>=0 & `est_`var'_`x''>0)
{txt} 28{com}.                         gen sign_`var'_m1s_`x' = (`p_`var'_`x''<=0.1 & `p_`var'_`x''>0.05 & `est_`var'_`x''<0)
{txt} 29{com}.                         gen sign_`var'_m2s_`x' = (`p_`var'_`x''<=0.05 & `p_`var'_`x''>0.01 & `est_`var'_`x''<0)
{txt} 30{com}.                         gen sign_`var'_m3s_`x' = (`p_`var'_`x''<=0.01 & `p_`var'_`x''>=0 & `est_`var'_`x''<0)
{txt} 31{com}.                         
.                         if sign_`var'_p1s_`x' == 1 {c -(}
{txt} 32{com}.                                         local sign_`var'_`x' = "\cellcolor[HTML]{c -(}EFEFEF{c )-}+"
{txt} 33{com}.                                         local est_`var'_`x' = "`est_`var'_`x''*"
{txt} 34{com}.                                         {c )-}
{txt} 35{com}.                                         
.                         if sign_`var'_p2s_`x' == 1 {c -(}    
{txt} 36{com}.                                         local sign_`var'_`x' = "\cellcolor[HTML]{c -(}C0C0C0{c )-}+"
{txt} 37{com}.                                         local est_`var'_`x' = "`est_`var'_`x''**"
{txt} 38{com}.                                         {c )-}
{txt} 39{com}.                                         
.                         if sign_`var'_p3s_`x' == 1 {c -(}    
{txt} 40{com}.                                         local sign_`var'_`x' = "\cellcolor[HTML]{c -(}9B9B9B{c )-}+"
{txt} 41{com}.                                         local est_`var'_`x' = "`est_`var'_`x''***"
{txt} 42{com}.                                         {c )-}
{txt} 43{com}.                                 
.                         if sign_`var'_m1s_`x' == 1 {c -(}
{txt} 44{com}.                                         local sign_`var'_`x' = "\cellcolor[HTML]{c -(}EFEFEF{c )-}-"
{txt} 45{com}.                                         local est_`var'_`x' = "`est_`var'_`x''*"
{txt} 46{com}.                                         {c )-}
{txt} 47{com}.                                         
.                         if sign_`var'_m2s_`x' == 1 {c -(}    
{txt} 48{com}.                                         local sign_`var'_`x' = "\cellcolor[HTML]{c -(}C0C0C0{c )-}-"
{txt} 49{com}.                                         local est_`var'_`x' = "`est_`var'_`x''**"
{txt} 50{com}.                                         {c )-}
{txt} 51{com}.                                         
.                         if sign_`var'_m3s_`x' == 1 {c -(}    
{txt} 52{com}.                                         local sign_`var'_`x' = "\cellcolor[HTML]{c -(}9B9B9B{c )-}-"
{txt} 53{com}.                                         local est_`var'_`x' = "`est_`var'_`x''***"
{txt} 54{com}.                                         {c )-}
{txt} 55{com}.                                 
.                         if sign_`var'_zero_`x' == 1 {c -(}
{txt} 56{com}.                                 local sign_`var'_`x' = "0"
{txt} 57{com}.                                 {c )-}
{txt} 58{com}.                                 
.                         {c )-}
{txt} 59{com}.                         
.                 gen sign_commtg_zero_`x' = (`p_commtg_`x''>0.1)
{txt} 60{com}.                 gen sign_commtg_p1s_`x' = (`p_commtg_`x''<=0.1 & `p_commtg_`x''>0.05 & `est_commtg_`x''>0)
{txt} 61{com}.                 gen sign_commtg_p2s_`x' = (`p_commtg_`x''<=0.05 & `p_commtg_`x''>0.01 & `est_commtg_`x''>0)
{txt} 62{com}.                 gen sign_commtg_p3s_`x' = (`p_commtg_`x''<=0.01 & `p_commtg_`x''>=0 & `est_commtg_`x''>0)
{txt} 63{com}.                 gen sign_commtg_m1s_`x' = (`p_commtg_`x''<=0.1 & `p_commtg_`x''>0.05 & `est_commtg_`x''<0)
{txt} 64{com}.                 gen sign_commtg_m2s_`x' = (`p_commtg_`x''<=0.05 & `p_commtg_`x''>0.01 & `est_commtg_`x''<0)
{txt} 65{com}.                 gen sign_commtg_m3s_`x' = (`p_commtg_`x''<=0.01 & `p_commtg_`x''>=0 & `est_commtg_`x''<0)
{txt} 66{com}.                 
.                 local p_commtg_`x' = string(`p_commtg_`x'',"%9.3fc")
{txt} 67{com}.                 local est_commtg_`x' = string(`est_commtg_`x'',"%9.3fc")
{txt} 68{com}.                 local se_commtg_`x' = string(`se_commtg_`x'',"%9.3fc")
{txt} 69{com}.                 
.                 if sign_commtg_p1s_`x' == 1 {c -(}
{txt} 70{com}.                                 local sign_commtg_`x' = "\cellcolor[HTML]{c -(}EFEFEF{c )-}+"
{txt} 71{com}.                                 local est_commtg_`x' = "`est_commtg_`x''*"
{txt} 72{com}.                                 {c )-}
{txt} 73{com}.                                 
.                 if sign_commtg_p2s_`x' == 1 {c -(}   
{txt} 74{com}.                                 local sign_commtg_`x' = "\cellcolor[HTML]{c -(}C0C0C0{c )-}+"
{txt} 75{com}.                                 local est_commtg_`x' = "`est_commtg_`x''**"
{txt} 76{com}.                                 {c )-}
{txt} 77{com}.                                 
.                 if sign_commtg_p3s_`x' == 1 {c -(}   
{txt} 78{com}.                                 local sign_commtg_`x' = "\cellcolor[HTML]{c -(}9B9B9B{c )-}+"
{txt} 79{com}.                                 local est_commtg_`x' = "`est_commtg_`x''***"
{txt} 80{com}.                                 {c )-}
{txt} 81{com}.                         
.                 if sign_commtg_m1s_`x' == 1 {c -(}
{txt} 82{com}.                                 local sign_commtg_`x' = "\cellcolor[HTML]{c -(}EFEFEF{c )-}-"
{txt} 83{com}.                                 local est_commtg_`x' = "`est_commtg_`x''*"
{txt} 84{com}.                                 {c )-}
{txt} 85{com}.                                 
.                 if sign_commtg_m2s_`x' == 1 {c -(}   
{txt} 86{com}.                                 local sign_commtg_`x' = "\cellcolor[HTML]{c -(}C0C0C0{c )-}-"
{txt} 87{com}.                                 local est_commtg_`x' = "`est_commtg_`x''**"
{txt} 88{com}.                                 {c )-}
{txt} 89{com}.                                 
.                 if sign_commtg_m3s_`x' == 1 {c -(}   
{txt} 90{com}.                                 local sign_commtg_`x' = "\cellcolor[HTML]{c -(}9B9B9B{c )-}-"
{txt} 91{com}.                                 local est_commtg_`x' = "`est_commtg_`x''***"
{txt} 92{com}.                                 {c )-}
{txt} 93{com}.                         
.                 if sign_commtg_zero_`x' == 1 {c -(}
{txt} 94{com}.                         local sign_commtg_`x' = "0"
{txt} 95{com}.                         {c )-}
{txt} 96{com}.                 
.                 drop sign_*
{txt} 97{com}.                 
.                 {c )-}
{res}
{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}       187
{txt}{col 49}F({res}  16{txt},{res}    155{txt}){col 67}= {res}      1.27
{txt}{col 49}Prob > F{col 67}= {res}    0.2215
{txt}{col 49}R-squared{col 67}= {res}    0.1995
{txt}{col 49}Adj R-squared{col 67}= {res}    0.0395
{txt}{col 49}Root MSE{col 67}= {res}    0.0537

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}e_mortrat~05{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2}-.0151712{col 26}{space 2} .0112892{col 37}{space 1}   -1.34{col 46}{space 3}0.181{col 54}{space 4}-.0374718{col 67}{space 3} .0071293
{txt}treatfull_~g {c |}{col 14}{res}{space 2} .0094391{col 26}{space 2} .0176669{col 37}{space 1}    0.53{col 46}{space 3}0.594{col 54}{space 4}-.0254599{col 67}{space 3} .0443381
{txt}b_commtg~d_d {c |}{col 14}{res}{space 2}-.0076932{col 26}{space 2} .0126998{col 37}{space 1}   -0.61{col 46}{space 3}0.546{col 54}{space 4}-.0327802{col 67}{space 3} .0173937
{txt}b_mortrat~05 {c |}{col 14}{res}{space 2} .0816563{col 26}{space 2} .0653468{col 37}{space 1}    1.25{col 46}{space 3}0.213{col 54}{space 4}-.0474289{col 67}{space 3} .2107415
{txt}c_tf~_hc_hc2 {c |}{col 14}{res}{space 2} .0097924{col 26}{space 2} .0163704{col 37}{space 1}    0.60{col 46}{space 3}0.551{col 54}{space 4}-.0225456{col 67}{space 3} .0421303
{txt}c_tfull_hc~l {c |}{col 14}{res}{space 2}  .001302{col 26}{space 2} .0221363{col 37}{space 1}    0.06{col 46}{space 3}0.953{col 54}{space 4}-.0424259{col 67}{space 3} .0450298
{txt}c_tfull_hc~s {c |}{col 14}{res}{space 2} .0118831{col 26}{space 2} .0231337{col 37}{space 1}    0.51{col 46}{space 3}0.608{col 54}{space 4}-.0338149{col 67}{space 3} .0575812
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2} .0261158{col 26}{space 2} .0595349{col 37}{space 1}    0.44{col 46}{space 3}0.662{col 54}{space 4}-.0914887{col 67}{space 3} .1437203
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2}-.0065837{col 26}{space 2} .0072309{col 37}{space 1}   -0.91{col 46}{space 3}0.364{col 54}{space 4}-.0208676{col 67}{space 3} .0077002
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2} .0146854{col 26}{space 2} .0214466{col 37}{space 1}    0.68{col 46}{space 3}0.495{col 54}{space 4}-.0276798{col 67}{space 3} .0570507
{txt}c_treatful.. {c |}{col 14}{res}{space 2} -.005494{col 26}{space 2} .0192502{col 37}{space 1}   -0.29{col 46}{space 3}0.776{col 54}{space 4}-.0435205{col 67}{space 3} .0325325
{txt}c_treatful.. {c |}{col 14}{res}{space 2}-.0002375{col 26}{space 2}  .025304{col 37}{space 1}   -0.01{col 46}{space 3}0.993{col 54}{space 4}-.0502228{col 67}{space 3} .0497478
{txt}c_treatful.. {c |}{col 14}{res}{space 2}-.0358452{col 26}{space 2} .0281478{col 37}{space 1}   -1.27{col 46}{space 3}0.205{col 54}{space 4} -.091448{col 67}{space 3} .0197575
{txt}c_treatful.. {c |}{col 14}{res}{space 2} -.169867{col 26}{space 2} .0921316{col 37}{space 1}   -1.84{col 46}{space 3}0.067{col 54}{space 4}-.3518625{col 67}{space 3} .0121286
{txt}c_treatful.. {c |}{col 14}{res}{space 2}-.0023202{col 26}{space 2} .0086267{col 37}{space 1}   -0.27{col 46}{space 3}0.788{col 54}{space 4}-.0193613{col 67}{space 3} .0147208
{txt}c_treatful.. {c |}{col 14}{res}{space 2} -.015861{col 26}{space 2} .0281116{col 37}{space 1}   -0.56{col 46}{space 3}0.573{col 54}{space 4}-.0713923{col 67}{space 3} .0396702
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} .0643019{col 26}{space 2} .0085012{col 37}{space 1}    7.56{col 46}{space 3}0.000{col 54}{space 4} .0475087{col 67}{space 3} .0810951
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull + treatfull_commtg = 0{p_end}

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}e_mortrat~05{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}(1) {c |}{col 14}{res}{space 2}-.0057321{col 26}{space 2} .0124748{col 37}{space 1}   -0.46{col 46}{space 3}0.647{col 54}{space 4}-.0303748{col 67}{space 3} .0189106
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull + treatfull_commtg = 0{p_end}

{txt}       F(  1,   155) ={res}    0.21
{txt}{col 13}Prob > F ={res}    0.6465

{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}       187
{txt}{col 49}F({res}  16{txt},{res}    155{txt}){col 67}= {res}      1.17
{txt}{col 49}Prob > F{col 67}= {res}    0.2988
{txt}{col 49}R-squared{col 67}= {res}    0.1525
{txt}{col 49}Adj R-squared{col 67}= {res}   -0.0171
{txt}{col 49}Root MSE{col 67}= {res}    0.6946

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}e_h_ctzpre_z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2}-.1547651{col 26}{space 2} .1419967{col 37}{space 1}   -1.09{col 46}{space 3}0.277{col 54}{space 4}-.4352635{col 67}{space 3} .1257334
{txt}treatfull_~g {c |}{col 14}{res}{space 2} .0289133{col 26}{space 2} .2223945{col 37}{space 1}    0.13{col 46}{space 3}0.897{col 54}{space 4} -.410402{col 67}{space 3} .4682286
{txt}b_commtg~d_d {c |}{col 14}{res}{space 2}-.0108025{col 26}{space 2}  .155981{col 37}{space 1}   -0.07{col 46}{space 3}0.945{col 54}{space 4}-.3189254{col 67}{space 3} .2973205
{txt}b_h_ctzpre_z {c |}{col 14}{res}{space 2} .0089765{col 26}{space 2} .0716388{col 37}{space 1}    0.13{col 46}{space 3}0.900{col 54}{space 4}-.1325379{col 67}{space 3} .1504908
{txt}c_tf~_hc_hc2 {c |}{col 14}{res}{space 2} -.084722{col 26}{space 2} .1542311{col 37}{space 1}   -0.55{col 46}{space 3}0.584{col 54}{space 4}-.3893881{col 67}{space 3} .2199442
{txt}c_tfull_hc~l {c |}{col 14}{res}{space 2} .0641236{col 26}{space 2} .1989989{col 37}{space 1}    0.32{col 46}{space 3}0.748{col 54}{space 4}-.3289764{col 67}{space 3} .4572235
{txt}c_tfull_hc~s {c |}{col 14}{res}{space 2} .6337359{col 26}{space 2} .2571036{col 37}{space 1}    2.46{col 46}{space 3}0.015{col 54}{space 4} .1258568{col 67}{space 3} 1.141615
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2}-.6317172{col 26}{space 2}  .591512{col 37}{space 1}   -1.07{col 46}{space 3}0.287{col 54}{space 4}-1.800182{col 67}{space 3}  .536748
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2}-.0486332{col 26}{space 2} .0850915{col 37}{space 1}   -0.57{col 46}{space 3}0.568{col 54}{space 4}-.2167219{col 67}{space 3} .1194555
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2}-.1607431{col 26}{space 2} .2391776{col 37}{space 1}   -0.67{col 46}{space 3}0.503{col 54}{space 4}-.6332115{col 67}{space 3} .3117254
{txt}c_treatful.. {c |}{col 14}{res}{space 2} .0572985{col 26}{space 2} .2402169{col 37}{space 1}    0.24{col 46}{space 3}0.812{col 54}{space 4} -.417223{col 67}{space 3} .5318199
{txt}c_treatful.. {c |}{col 14}{res}{space 2}-.1658115{col 26}{space 2} .2541882{col 37}{space 1}   -0.65{col 46}{space 3}0.515{col 54}{space 4}-.6679316{col 67}{space 3} .3363086
{txt}c_treatful.. {c |}{col 14}{res}{space 2}-.5858049{col 26}{space 2} .2760734{col 37}{space 1}   -2.12{col 46}{space 3}0.035{col 54}{space 4}-1.131157{col 67}{space 3}-.0404531
{txt}c_treatful.. {c |}{col 14}{res}{space 2} .9350069{col 26}{space 2} 1.033242{col 37}{space 1}    0.90{col 46}{space 3}0.367{col 54}{space 4}-1.106047{col 67}{space 3}  2.97606
{txt}c_treatful.. {c |}{col 14}{res}{space 2} .1523224{col 26}{space 2} .1220802{col 37}{space 1}    1.25{col 46}{space 3}0.214{col 54}{space 4}-.0888332{col 67}{space 3} .3934781
{txt}c_treatful.. {c |}{col 14}{res}{space 2}-.0425877{col 26}{space 2} .2776036{col 37}{space 1}   -0.15{col 46}{space 3}0.878{col 54}{space 4}-.5909624{col 67}{space 3}  .505787
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} .0200409{col 26}{space 2} .1028006{col 37}{space 1}    0.19{col 46}{space 3}0.846{col 54}{space 4}-.1830302{col 67}{space 3} .2231119
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull + treatfull_commtg = 0{p_end}

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}e_h_ctzpre_z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}(1) {c |}{col 14}{res}{space 2}-.1258517{col 26}{space 2} .1578663{col 37}{space 1}   -0.80{col 46}{space 3}0.427{col 54}{space 4}-.4376989{col 67}{space 3} .1859954
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull + treatfull_commtg = 0{p_end}

{txt}       F(  1,   155) ={res}    0.64
{txt}{col 13}Prob > F ={res}    0.4266
{txt}
{com}.         
.                 
.         * Subgroup Effects: Efficacy
.                 
.         * We regress the results
.         
.         foreach x in `indices_hc' {c -(}
{txt}  2{com}.         
.                 areg e_`x' treatfull treatfull_eff b_eff_z_med_d b_`x' `e_controls_tfull_hc' `treatfull_hc_int_e_controls' if uniquehc == 1, robust a(district)
{txt}  3{com}.                 eststo e_`x'_eff
{txt}  4{com}.                 local n_eff_`x' = string(e(N),"%9.0fc")
{txt}  5{com}.                 local r2_eff_`x' = string(e(r2),"%9.3fc")
{txt}  6{com}.                 
.                 lincom treatfull + treatfull_eff
{txt}  7{com}.                 local est_eff_`x' = r(estimate)
{txt}  8{com}.                 local se_eff_`x' = r(se)
{txt}  9{com}.                 test treatfull + treatfull_eff = 0
{txt} 10{com}.                 local p_eff_`x' = r(p)
{txt} 11{com}.                 
.                 local est_beff_`x' = string(_b[treatfull],"%9.3fc")
{txt} 12{com}.                 local se_beff_`x' = string(_se[treatfull],"%9.3fc")
{txt} 13{com}.                 local p_beff_`x' = (2 * ttail(e(df_r), abs(_b[treatfull]/_se[treatfull])))
{txt} 14{com}.                 
.                 local est_tmxeff_`x' = string(_b[treatfull_eff],"%9.3fc")
{txt} 15{com}.                 local se_tmxeff_`x' = string(_se[treatfull_eff],"%9.3fc")
{txt} 16{com}.                 local p_tmxeff_`x' = (2 * ttail(e(df_r), abs(_b[treatfull_eff]/_se[treatfull_eff])))
{txt} 17{com}.                 
.                 local est_smeff_`x' = string(_b[b_eff_z_med_d],"%9.3fc")
{txt} 18{com}.                 local se_smeff_`x' = string(_se[b_eff_z_med_d],"%9.3fc")
{txt} 19{com}.                 local p_smeff_`x' = (2 * ttail(e(df_r), abs(_b[b_eff_z_med_d]/_se[b_eff_z_med_d])))
{txt} 20{com}.                 
.                 local est_ceff_`x' = string(_b[_cons],"%9.3fc")
{txt} 21{com}.                 local se_ceff_`x' = string(_se[_cons],"%9.3fc")
{txt} 22{com}.                 local p_ceff_`x' = (2 * ttail(e(df_r), abs(_b[_cons]/_se[_cons])))
{txt} 23{com}.                 
.                 foreach var in beff tmxeff smeff ceff {c -(}
{txt} 24{com}.                 
.                         gen sign_`var'_zero_`x' = (`p_`var'_`x''>0.1)
{txt} 25{com}.                         gen sign_`var'_p1s_`x' = (`p_`var'_`x''<=0.1 & `p_`var'_`x''>0.05 & `est_`var'_`x''>0)
{txt} 26{com}.                         gen sign_`var'_p2s_`x' = (`p_`var'_`x''<=0.05 & `p_`var'_`x''>0.01 & `est_`var'_`x''>0)
{txt} 27{com}.                         gen sign_`var'_p3s_`x' = (`p_`var'_`x''<=0.01 & `p_`var'_`x''>=0 & `est_`var'_`x''>0)
{txt} 28{com}.                         gen sign_`var'_m1s_`x' = (`p_`var'_`x''<=0.1 & `p_`var'_`x''>0.05 & `est_`var'_`x''<0)
{txt} 29{com}.                         gen sign_`var'_m2s_`x' = (`p_`var'_`x''<=0.05 & `p_`var'_`x''>0.01 & `est_`var'_`x''<0)
{txt} 30{com}.                         gen sign_`var'_m3s_`x' = (`p_`var'_`x''<=0.01 & `p_`var'_`x''>=0 & `est_`var'_`x''<0)
{txt} 31{com}.                         
.                         if sign_`var'_p1s_`x' == 1 {c -(}
{txt} 32{com}.                                         local sign_`var'_`x' = "\cellcolor[HTML]{c -(}EFEFEF{c )-}+"
{txt} 33{com}.                                         local est_`var'_`x' = "`est_`var'_`x''*"
{txt} 34{com}.                                         {c )-}
{txt} 35{com}.                                         
.                         if sign_`var'_p2s_`x' == 1 {c -(}    
{txt} 36{com}.                                         local sign_`var'_`x' = "\cellcolor[HTML]{c -(}C0C0C0{c )-}+"
{txt} 37{com}.                                         local est_`var'_`x' = "`est_`var'_`x''**"
{txt} 38{com}.                                         {c )-}
{txt} 39{com}.                                         
.                         if sign_`var'_p3s_`x' == 1 {c -(}    
{txt} 40{com}.                                         local sign_`var'_`x' = "\cellcolor[HTML]{c -(}9B9B9B{c )-}+"
{txt} 41{com}.                                         local est_`var'_`x' = "`est_`var'_`x''***"
{txt} 42{com}.                                         {c )-}
{txt} 43{com}.                                 
.                         if sign_`var'_m1s_`x' == 1 {c -(}
{txt} 44{com}.                                         local sign_`var'_`x' = "\cellcolor[HTML]{c -(}EFEFEF{c )-}-"
{txt} 45{com}.                                         local est_`var'_`x' = "`est_`var'_`x''*"
{txt} 46{com}.                                         {c )-}
{txt} 47{com}.                                         
.                         if sign_`var'_m2s_`x' == 1 {c -(}    
{txt} 48{com}.                                         local sign_`var'_`x' = "\cellcolor[HTML]{c -(}C0C0C0{c )-}-"
{txt} 49{com}.                                         local est_`var'_`x' = "`est_`var'_`x''**"
{txt} 50{com}.                                         {c )-}
{txt} 51{com}.                                         
.                         if sign_`var'_m3s_`x' == 1 {c -(}    
{txt} 52{com}.                                         local sign_`var'_`x' = "\cellcolor[HTML]{c -(}9B9B9B{c )-}-"
{txt} 53{com}.                                         local est_`var'_`x' = "`est_`var'_`x''***"
{txt} 54{com}.                                         {c )-}
{txt} 55{com}.                                 
.                         if sign_`var'_zero_`x' == 1 {c -(}
{txt} 56{com}.                                 local sign_`var'_`x' = "0"
{txt} 57{com}.                                 {c )-}
{txt} 58{com}.                                 
.                         {c )-}
{txt} 59{com}.                         
.                 gen sign_eff_zero_`x' = (`p_eff_`x''>0.1)
{txt} 60{com}.                 gen sign_eff_p1s_`x' = (`p_eff_`x''<=0.1 & `p_eff_`x''>0.05 & `est_eff_`x''>0)
{txt} 61{com}.                 gen sign_eff_p2s_`x' = (`p_eff_`x''<=0.05 & `p_eff_`x''>0.01 & `est_eff_`x''>0)
{txt} 62{com}.                 gen sign_eff_p3s_`x' = (`p_eff_`x''<=0.01 & `p_eff_`x''>=0 & `est_eff_`x''>0)
{txt} 63{com}.                 gen sign_eff_m1s_`x' = (`p_eff_`x''<=0.1 & `p_eff_`x''>0.05 & `est_eff_`x''<0)
{txt} 64{com}.                 gen sign_eff_m2s_`x' = (`p_eff_`x''<=0.05 & `p_eff_`x''>0.01 & `est_eff_`x''<0)
{txt} 65{com}.                 gen sign_eff_m3s_`x' = (`p_eff_`x''<=0.01 & `p_eff_`x''>=0 & `est_eff_`x''<0)
{txt} 66{com}.                 
.                 local p_eff_`x' = string(`p_eff_`x'',"%9.3fc")
{txt} 67{com}.                 local est_eff_`x' = string(`est_eff_`x'',"%9.3fc")
{txt} 68{com}.                 local se_eff_`x' = string(`se_eff_`x'',"%9.3fc")
{txt} 69{com}.                 
.                 if sign_eff_p1s_`x' == 1 {c -(}
{txt} 70{com}.                                 local sign_eff_`x' = "\cellcolor[HTML]{c -(}EFEFEF{c )-}+"
{txt} 71{com}.                                 local est_eff_`x' = "`est_eff_`x''*"
{txt} 72{com}.                                 {c )-}
{txt} 73{com}.                                 
.                 if sign_eff_p2s_`x' == 1 {c -(}      
{txt} 74{com}.                                 local sign_eff_`x' = "\cellcolor[HTML]{c -(}C0C0C0{c )-}+"
{txt} 75{com}.                                 local est_eff_`x' = "`est_eff_`x''**"
{txt} 76{com}.                                 {c )-}
{txt} 77{com}.                                 
.                 if sign_eff_p3s_`x' == 1 {c -(}      
{txt} 78{com}.                                 local sign_eff_`x' = "\cellcolor[HTML]{c -(}9B9B9B{c )-}+"
{txt} 79{com}.                                 local est_eff_`x' = "`est_eff_`x''***"
{txt} 80{com}.                                 {c )-}
{txt} 81{com}.                         
.                 if sign_eff_m1s_`x' == 1 {c -(}
{txt} 82{com}.                                 local sign_eff_`x' = "\cellcolor[HTML]{c -(}EFEFEF{c )-}-"
{txt} 83{com}.                                 local est_eff_`x' = "`est_eff_`x''*"
{txt} 84{com}.                                 {c )-}
{txt} 85{com}.                                 
.                 if sign_eff_m2s_`x' == 1 {c -(}      
{txt} 86{com}.                                 local sign_eff_`x' = "\cellcolor[HTML]{c -(}C0C0C0{c )-}-"
{txt} 87{com}.                                 local est_eff_`x' = "`est_eff_`x''**"
{txt} 88{com}.                                 {c )-}
{txt} 89{com}.                                 
.                 if sign_eff_m3s_`x' == 1 {c -(}      
{txt} 90{com}.                                 local sign_eff_`x' = "\cellcolor[HTML]{c -(}9B9B9B{c )-}-"
{txt} 91{com}.                                 local est_eff_`x' = "`est_eff_`x''***"
{txt} 92{com}.                                 {c )-}
{txt} 93{com}.                         
.                 if sign_eff_zero_`x' == 1 {c -(}
{txt} 94{com}.                         local sign_eff_`x' = "0"
{txt} 95{com}.                         {c )-}
{txt} 96{com}.                 
.                 drop sign_*
{txt} 97{com}.                 
.                 {c )-}
{res}
{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}       187
{txt}{col 49}F({res}  16{txt},{res}    155{txt}){col 67}= {res}      1.67
{txt}{col 49}Prob > F{col 67}= {res}    0.0579
{txt}{col 49}R-squared{col 67}= {res}    0.2122
{txt}{col 49}Adj R-squared{col 67}= {res}    0.0546
{txt}{col 49}Root MSE{col 67}= {res}    0.0533

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}e_mortrat~05{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2}-.0245433{col 26}{space 2} .0108313{col 37}{space 1}   -2.27{col 46}{space 3}0.025{col 54}{space 4}-.0459393{col 67}{space 3}-.0031472
{txt}treatfull_~f {c |}{col 14}{res}{space 2} .0282945{col 26}{space 2}   .01678{col 37}{space 1}    1.69{col 46}{space 3}0.094{col 54}{space 4}-.0048525{col 67}{space 3} .0614414
{txt}b_eff_z_me~d {c |}{col 14}{res}{space 2}-.0133432{col 26}{space 2} .0128975{col 37}{space 1}   -1.03{col 46}{space 3}0.302{col 54}{space 4}-.0388207{col 67}{space 3} .0121343
{txt}b_mortrat~05 {c |}{col 14}{res}{space 2} .0897284{col 26}{space 2} .0658012{col 37}{space 1}    1.36{col 46}{space 3}0.175{col 54}{space 4}-.0402543{col 67}{space 3} .2197112
{txt}c_tf~_hc_hc2 {c |}{col 14}{res}{space 2} .0107224{col 26}{space 2} .0174953{col 37}{space 1}    0.61{col 46}{space 3}0.541{col 54}{space 4}-.0238375{col 67}{space 3} .0452824
{txt}c_tfull_hc~l {c |}{col 14}{res}{space 2}-.0002734{col 26}{space 2}  .021349{col 37}{space 1}   -0.01{col 46}{space 3}0.990{col 54}{space 4} -.042446{col 67}{space 3} .0418992
{txt}c_tfull_hc~s {c |}{col 14}{res}{space 2} .0118019{col 26}{space 2} .0216759{col 37}{space 1}    0.54{col 46}{space 3}0.587{col 54}{space 4}-.0310164{col 67}{space 3} .0546203
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2} .0333463{col 26}{space 2} .0531172{col 37}{space 1}    0.63{col 46}{space 3}0.531{col 54}{space 4}-.0715807{col 67}{space 3} .1382733
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2}-.0061295{col 26}{space 2} .0072156{col 37}{space 1}   -0.85{col 46}{space 3}0.397{col 54}{space 4} -.020383{col 67}{space 3}  .008124
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2}  .014731{col 26}{space 2} .0212455{col 37}{space 1}    0.69{col 46}{space 3}0.489{col 54}{space 4}-.0272371{col 67}{space 3} .0566991
{txt}c_treatful.. {c |}{col 14}{res}{space 2}-.0043902{col 26}{space 2} .0200511{col 37}{space 1}   -0.22{col 46}{space 3}0.827{col 54}{space 4}-.0439988{col 67}{space 3} .0352185
{txt}c_treatful.. {c |}{col 14}{res}{space 2} .0028725{col 26}{space 2} .0236808{col 37}{space 1}    0.12{col 46}{space 3}0.904{col 54}{space 4}-.0439062{col 67}{space 3} .0496512
{txt}c_treatful.. {c |}{col 14}{res}{space 2}-.0398101{col 26}{space 2} .0273848{col 37}{space 1}   -1.45{col 46}{space 3}0.148{col 54}{space 4}-.0939058{col 67}{space 3} .0142856
{txt}c_treatful.. {c |}{col 14}{res}{space 2}-.1755518{col 26}{space 2} .0878155{col 37}{space 1}   -2.00{col 46}{space 3}0.047{col 54}{space 4}-.3490215{col 67}{space 3}-.0020822
{txt}c_treatful.. {c |}{col 14}{res}{space 2}-.0025963{col 26}{space 2} .0085822{col 37}{space 1}   -0.30{col 46}{space 3}0.763{col 54}{space 4}-.0195495{col 67}{space 3} .0143569
{txt}c_treatful.. {c |}{col 14}{res}{space 2}-.0168849{col 26}{space 2}  .027357{col 37}{space 1}   -0.62{col 46}{space 3}0.538{col 54}{space 4}-.0709255{col 67}{space 3} .0371556
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} .0665028{col 26}{space 2}  .009477{col 37}{space 1}    7.02{col 46}{space 3}0.000{col 54}{space 4}  .047782{col 67}{space 3} .0852236
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull + treatfull_eff = 0{p_end}

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}e_mortrat~05{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}(1) {c |}{col 14}{res}{space 2} .0037512{col 26}{space 2} .0120737{col 37}{space 1}    0.31{col 46}{space 3}0.756{col 54}{space 4} -.020099{col 67}{space 3} .0276014
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull + treatfull_eff = 0{p_end}

{txt}       F(  1,   155) ={res}    0.10
{txt}{col 13}Prob > F ={res}    0.7565

{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}       187
{txt}{col 49}F({res}  16{txt},{res}    155{txt}){col 67}= {res}      1.34
{txt}{col 49}Prob > F{col 67}= {res}    0.1772
{txt}{col 49}R-squared{col 67}= {res}    0.1627
{txt}{col 49}Adj R-squared{col 67}= {res}   -0.0048
{txt}{col 49}Root MSE{col 67}= {res}    0.6904

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}e_h_ctzpre_z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2}-.1269883{col 26}{space 2} .1271663{col 37}{space 1}   -1.00{col 46}{space 3}0.320{col 54}{space 4} -.378191{col 67}{space 3} .1242145
{txt}treatfull_~f {c |}{col 14}{res}{space 2}-.0107788{col 26}{space 2} .2086534{col 37}{space 1}   -0.05{col 46}{space 3}0.959{col 54}{space 4}  -.42295{col 67}{space 3} .4013924
{txt}b_eff_z_me~d {c |}{col 14}{res}{space 2}-.1480151{col 26}{space 2} .1421578{col 37}{space 1}   -1.04{col 46}{space 3}0.299{col 54}{space 4}-.4288319{col 67}{space 3} .1328016
{txt}b_h_ctzpre_z {c |}{col 14}{res}{space 2} .0114525{col 26}{space 2} .0682604{col 37}{space 1}    0.17{col 46}{space 3}0.867{col 54}{space 4}-.1233882{col 67}{space 3} .1462932
{txt}c_tf~_hc_hc2 {c |}{col 14}{res}{space 2}-.0578841{col 26}{space 2}  .154248{col 37}{space 1}   -0.38{col 46}{space 3}0.708{col 54}{space 4}-.3625835{col 67}{space 3} .2468154
{txt}c_tfull_hc~l {c |}{col 14}{res}{space 2} .0454805{col 26}{space 2} .1963336{col 37}{space 1}    0.23{col 46}{space 3}0.817{col 54}{space 4}-.3423543{col 67}{space 3} .4333153
{txt}c_tfull_hc~s {c |}{col 14}{res}{space 2} .6270871{col 26}{space 2} .2507053{col 37}{space 1}    2.50{col 46}{space 3}0.013{col 54}{space 4}  .131847{col 67}{space 3} 1.122327
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2}-.6198047{col 26}{space 2} .5861372{col 37}{space 1}   -1.06{col 46}{space 3}0.292{col 54}{space 4}-1.777653{col 67}{space 3} .5380432
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2}-.0490507{col 26}{space 2} .0815173{col 37}{space 1}   -0.60{col 46}{space 3}0.548{col 54}{space 4} -.210079{col 67}{space 3} .1119776
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2}-.1416364{col 26}{space 2} .2324084{col 37}{space 1}   -0.61{col 46}{space 3}0.543{col 54}{space 4}-.6007328{col 67}{space 3} .3174601
{txt}c_treatful.. {c |}{col 14}{res}{space 2} .0092521{col 26}{space 2} .2376121{col 37}{space 1}    0.04{col 46}{space 3}0.969{col 54}{space 4}-.4601239{col 67}{space 3}  .478628
{txt}c_treatful.. {c |}{col 14}{res}{space 2}-.1655439{col 26}{space 2} .2471936{col 37}{space 1}   -0.67{col 46}{space 3}0.504{col 54}{space 4} -.653847{col 67}{space 3} .3227592
{txt}c_treatful.. {c |}{col 14}{res}{space 2}-.5503862{col 26}{space 2} .2749281{col 37}{space 1}   -2.00{col 46}{space 3}0.047{col 54}{space 4}-1.093476{col 67}{space 3}-.0072968
{txt}c_treatful.. {c |}{col 14}{res}{space 2} .8442502{col 26}{space 2} 1.026742{col 37}{space 1}    0.82{col 46}{space 3}0.412{col 54}{space 4}-1.183964{col 67}{space 3} 2.872464
{txt}c_treatful.. {c |}{col 14}{res}{space 2} .1539095{col 26}{space 2} .1190183{col 37}{space 1}    1.29{col 46}{space 3}0.198{col 54}{space 4}-.0811978{col 67}{space 3} .3890168
{txt}c_treatful.. {c |}{col 14}{res}{space 2}-.0717774{col 26}{space 2} .2734578{col 37}{space 1}   -0.26{col 46}{space 3}0.793{col 54}{space 4}-.6119625{col 67}{space 3} .4684077
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} .0838105{col 26}{space 2} .0770156{col 37}{space 1}    1.09{col 46}{space 3}0.278{col 54}{space 4}-.0683252{col 67}{space 3} .2359462
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull + treatfull_eff = 0{p_end}

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}e_h_ctzpre_z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}(1) {c |}{col 14}{res}{space 2}-.1377671{col 26}{space 2} .1640117{col 37}{space 1}   -0.84{col 46}{space 3}0.402{col 54}{space 4}-.4617537{col 67}{space 3} .1862196
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull + treatfull_eff = 0{p_end}

{txt}       F(  1,   155) ={res}    0.71
{txt}{col 13}Prob > F ={res}    0.4022
{txt}
{com}.                 
.         * Subgroup Effects: Distance to HC
.         
.         * We local the vector of control without HC level components
.         
.         local e_controls_noprefix b_visited_d educyr b_assetindex
{txt}
{com}.                 
.         foreach x in e_ {c -(}
{txt}  2{com}.                 
.                 local `x'controls
{txt}  3{com}.                 local `x'controls_hc
{txt}  4{com}.                 
.                 local `x'controls_tfull
{txt}  5{com}.                 local `x'controls_tfull_hc
{txt}  6{com}.                         
.                 {c )-}
{txt}
{com}.                 
.         foreach x in e_ {c -(}
{txt}  2{com}.                 foreach var in treatfull {c -(}
{txt}  3{com}.                 
.                         local `var'_int_`x'controls
{txt}  4{com}.                         local `var'_hc_int_`x'controls
{txt}  5{com}.                         
.                         {c )-}
{txt}  6{com}.                 {c )-}
{txt}
{com}.                                 
.         foreach var of local e_controls_noprefix {c -(}
{txt}  2{com}.                 local e_controls `e_controls' c_`var'
{txt}  3{com}.                 local e_controls_tfull `e_controls_tfull' c_tfull_`var'
{txt}  4{com}.                 
.                 local e_controls_hc `e_controls_hc' c_hc_`var'
{txt}  5{com}.                 local e_controls_tfull_hc `e_controls_tfull_hc' c_tfull_hc_`var'
{txt}  6{com}.                 {c )-}
{txt}
{com}.                         
.         foreach treat in treatfull {c -(}
{txt}  2{com}.                 foreach var of local e_controls_noprefix {c -(}
{txt}  3{com}.                 
.                         local `treat'_int_e_controls ``treat'_int_e_controls' c_`treat'_`var'
{txt}  4{com}.                         local `treat'_hc_int_e_controls ``treat'_hc_int_e_controls' c_`treat'_hc_`var'
{txt}  5{com}.                         
.                         {c )-}
{txt}  6{com}.                 {c )-}
{txt}
{com}.         
.         * We regress the results
.         
.         foreach x in `indices_hc' {c -(}
{txt}  2{com}.         
.                 areg e_`x' treatfull treatfull_distance b_distance_hc_z_med_d b_`x' `e_controls_tfull_hc' `treatfull_hc_int_e_controls' if uniquehc == 1, robust a(district)
{txt}  3{com}.                 eststo e_`x'_distance
{txt}  4{com}.                 local n_distance_`x' = string(e(N),"%9.0fc")
{txt}  5{com}.                 local r2_distance_`x' = string(e(r2),"%9.3fc")
{txt}  6{com}.                 
.                 lincom treatfull + treatfull_distance
{txt}  7{com}.                 local est_distance_`x' = r(estimate)
{txt}  8{com}.                 local se_distance_`x' = r(se)
{txt}  9{com}.                 test treatfull + treatfull_distance = 0
{txt} 10{com}.                 local p_distance_`x' = r(p)
{txt} 11{com}.                 
.                 local est_bdistance_`x' = string(_b[treatfull],"%9.3fc")
{txt} 12{com}.                 local se_bdistance_`x' = string(_se[treatfull],"%9.3fc")
{txt} 13{com}.                 local p_bdistance_`x' = (2 * ttail(e(df_r), abs(_b[treatfull]/_se[treatfull])))
{txt} 14{com}.                 
.                 local est_tmxdist_`x' = string(_b[treatfull_distance],"%9.3fc")
{txt} 15{com}.                 local se_tmxdist_`x' = string(_se[treatfull_distance],"%9.3fc")
{txt} 16{com}.                 local p_tmxdist_`x' = (2 * ttail(e(df_r), abs(_b[treatfull_distance]/_se[treatfull_distance])))
{txt} 17{com}.                 
.                 local est_smdist_`x' = string(_b[b_distance_hc_z_med_d],"%9.3fc")
{txt} 18{com}.                 local se_smdist_`x' = string(_se[b_distance_hc_z_med_d],"%9.3fc")
{txt} 19{com}.                 local p_smdist_`x' = (2 * ttail(e(df_r), abs(_b[b_distance_hc_z_med_d]/_se[b_distance_hc_z_med_d])))
{txt} 20{com}.                 
.                 local est_cdist_`x' = string(_b[_cons],"%9.3fc")
{txt} 21{com}.                 local se_cdist_`x' = string(_se[_cons],"%9.3fc")
{txt} 22{com}.                 local p_cdist_`x' = (2 * ttail(e(df_r), abs(_b[_cons]/_se[_cons])))
{txt} 23{com}.                 
.                 foreach var in bdistance tmxdist smdist cdist {c -(}
{txt} 24{com}.                 
.                         gen sign_`var'_zero_`x' = (`p_`var'_`x''>0.1)
{txt} 25{com}.                         gen sign_`var'_p1s_`x' = (`p_`var'_`x''<=0.1 & `p_`var'_`x''>0.05 & `est_`var'_`x''>0)
{txt} 26{com}.                         gen sign_`var'_p2s_`x' = (`p_`var'_`x''<=0.05 & `p_`var'_`x''>0.01 & `est_`var'_`x''>0)
{txt} 27{com}.                         gen sign_`var'_p3s_`x' = (`p_`var'_`x''<=0.01 & `p_`var'_`x''>=0 & `est_`var'_`x''>0)
{txt} 28{com}.                         gen sign_`var'_m1s_`x' = (`p_`var'_`x''<=0.1 & `p_`var'_`x''>0.05 & `est_`var'_`x''<0)
{txt} 29{com}.                         gen sign_`var'_m2s_`x' = (`p_`var'_`x''<=0.05 & `p_`var'_`x''>0.01 & `est_`var'_`x''<0)
{txt} 30{com}.                         gen sign_`var'_m3s_`x' = (`p_`var'_`x''<=0.01 & `p_`var'_`x''>=0 & `est_`var'_`x''<0)
{txt} 31{com}.                         
.                         if sign_`var'_p1s_`x' == 1 {c -(}
{txt} 32{com}.                                         local sign_`var'_`x' = "\cellcolor[HTML]{c -(}EFEFEF{c )-}+"
{txt} 33{com}.                                         local est_`var'_`x' = "`est_`var'_`x''*"
{txt} 34{com}.                                         {c )-}
{txt} 35{com}.                                         
.                         if sign_`var'_p2s_`x' == 1 {c -(}    
{txt} 36{com}.                                         local sign_`var'_`x' = "\cellcolor[HTML]{c -(}C0C0C0{c )-}+"
{txt} 37{com}.                                         local est_`var'_`x' = "`est_`var'_`x''**"
{txt} 38{com}.                                         {c )-}
{txt} 39{com}.                                         
.                         if sign_`var'_p3s_`x' == 1 {c -(}    
{txt} 40{com}.                                         local sign_`var'_`x' = "\cellcolor[HTML]{c -(}9B9B9B{c )-}+"
{txt} 41{com}.                                         local est_`var'_`x' = "`est_`var'_`x''***"
{txt} 42{com}.                                         {c )-}
{txt} 43{com}.                                 
.                         if sign_`var'_m1s_`x' == 1 {c -(}
{txt} 44{com}.                                         local sign_`var'_`x' = "\cellcolor[HTML]{c -(}EFEFEF{c )-}-"
{txt} 45{com}.                                         local est_`var'_`x' = "`est_`var'_`x''*"
{txt} 46{com}.                                         {c )-}
{txt} 47{com}.                                         
.                         if sign_`var'_m2s_`x' == 1 {c -(}    
{txt} 48{com}.                                         local sign_`var'_`x' = "\cellcolor[HTML]{c -(}C0C0C0{c )-}-"
{txt} 49{com}.                                         local est_`var'_`x' = "`est_`var'_`x''**"
{txt} 50{com}.                                         {c )-}
{txt} 51{com}.                                         
.                         if sign_`var'_m3s_`x' == 1 {c -(}    
{txt} 52{com}.                                         local sign_`var'_`x' = "\cellcolor[HTML]{c -(}9B9B9B{c )-}-"
{txt} 53{com}.                                         local est_`var'_`x' = "`est_`var'_`x''***"
{txt} 54{com}.                                         {c )-}
{txt} 55{com}.                                 
.                         if sign_`var'_zero_`x' == 1 {c -(}
{txt} 56{com}.                                 local sign_`var'_`x' = "0"
{txt} 57{com}.                                 {c )-}
{txt} 58{com}.                                 
.                         {c )-}
{txt} 59{com}.                         
.                 gen sign_distance_zero_`x' = (`p_distance_`x''>0.1)
{txt} 60{com}.                 gen sign_distance_p1s_`x' = (`p_distance_`x''<=0.1 & `p_distance_`x''>0.05 & `est_distance_`x''>0)
{txt} 61{com}.                 gen sign_distance_p2s_`x' = (`p_distance_`x''<=0.05 & `p_distance_`x''>0.01 & `est_distance_`x''>0)
{txt} 62{com}.                 gen sign_distance_p3s_`x' = (`p_distance_`x''<=0.01 & `p_distance_`x''>=0 & `est_distance_`x''>0)
{txt} 63{com}.                 gen sign_distance_m1s_`x' = (`p_distance_`x''<=0.1 & `p_distance_`x''>0.05 & `est_distance_`x''<0)
{txt} 64{com}.                 gen sign_distance_m2s_`x' = (`p_distance_`x''<=0.05 & `p_distance_`x''>0.01 & `est_distance_`x''<0)
{txt} 65{com}.                 gen sign_distance_m3s_`x' = (`p_distance_`x''<=0.01 & `p_distance_`x''>=0 & `est_distance_`x''<0)
{txt} 66{com}.                 
.                 local p_distance_`x' = string(`p_distance_`x'',"%9.3fc")
{txt} 67{com}.                 local est_distance_`x' = string(`est_distance_`x'',"%9.3fc")
{txt} 68{com}.                 local se_distance_`x' = string(`se_distance_`x'',"%9.3fc")
{txt} 69{com}.                 
.                 if sign_distance_p1s_`x' == 1 {c -(}
{txt} 70{com}.                                 local sign_distance_`x' = "\cellcolor[HTML]{c -(}EFEFEF{c )-}+"
{txt} 71{com}.                                 local est_distance_`x' = "`est_distance_`x''*"
{txt} 72{com}.                                 {c )-}
{txt} 73{com}.                                 
.                 if sign_distance_p2s_`x' == 1 {c -(} 
{txt} 74{com}.                                 local sign_distance_`x' = "\cellcolor[HTML]{c -(}C0C0C0{c )-}+"
{txt} 75{com}.                                 local est_distance_`x' = "`est_distance_`x''**"
{txt} 76{com}.                                 {c )-}
{txt} 77{com}.                                 
.                 if sign_distance_p3s_`x' == 1 {c -(} 
{txt} 78{com}.                                 local sign_distance_`x' = "\cellcolor[HTML]{c -(}9B9B9B{c )-}+"
{txt} 79{com}.                                 local est_distance_`x' = "`est_distance_`x''***"
{txt} 80{com}.                                 {c )-}
{txt} 81{com}.                         
.                 if sign_distance_m1s_`x' == 1 {c -(}
{txt} 82{com}.                                 local sign_distance_`x' = "\cellcolor[HTML]{c -(}EFEFEF{c )-}-"
{txt} 83{com}.                                 local est_distance_`x' = "`est_distance_`x''*"
{txt} 84{com}.                                 {c )-}
{txt} 85{com}.                                 
.                 if sign_distance_m2s_`x' == 1 {c -(} 
{txt} 86{com}.                                 local sign_distance_`x' = "\cellcolor[HTML]{c -(}C0C0C0{c )-}-"
{txt} 87{com}.                                 local est_distance_`x' = "`est_distance_`x''**"
{txt} 88{com}.                                 {c )-}
{txt} 89{com}.                                 
.                 if sign_distance_m3s_`x' == 1 {c -(} 
{txt} 90{com}.                                 local sign_distance_`x' = "\cellcolor[HTML]{c -(}9B9B9B{c )-}-"
{txt} 91{com}.                                 local est_distance_`x' = "`est_distance_`x''***"
{txt} 92{com}.                                 {c )-}
{txt} 93{com}.                         
.                 if sign_distance_zero_`x' == 1 {c -(}
{txt} 94{com}.                         local sign_distance_`x' = "0"
{txt} 95{com}.                         {c )-}
{txt} 96{com}.                 
.                 drop sign_*
{txt} 97{com}.                 
.                 {c )-}
{res}
{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}       187
{txt}{col 49}F({res}  10{txt},{res}    161{txt}){col 67}= {res}      1.74
{txt}{col 49}Prob > F{col 67}= {res}    0.0756
{txt}{col 49}R-squared{col 67}= {res}    0.1930
{txt}{col 49}Adj R-squared{col 67}= {res}    0.0676
{txt}{col 49}Root MSE{col 67}= {res}    0.0529

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}e_mortrat~05{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2} -.005506{col 26}{space 2} .0128621{col 37}{space 1}   -0.43{col 46}{space 3}0.669{col 54}{space 4}-.0309062{col 67}{space 3} .0198941
{txt}treatfull_~e {c |}{col 14}{res}{space 2}-.0093633{col 26}{space 2} .0169562{col 37}{space 1}   -0.55{col 46}{space 3}0.582{col 54}{space 4}-.0428486{col 67}{space 3} .0241219
{txt}b_distance~d {c |}{col 14}{res}{space 2}-.0064829{col 26}{space 2} .0112437{col 37}{space 1}   -0.58{col 46}{space 3}0.565{col 54}{space 4} -.028687{col 67}{space 3} .0157213
{txt}b_mortrat~05 {c |}{col 14}{res}{space 2} .0909358{col 26}{space 2} .0646236{col 37}{space 1}    1.41{col 46}{space 3}0.161{col 54}{space 4}-.0366834{col 67}{space 3}  .218555
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2} .0279582{col 26}{space 2} .0535119{col 37}{space 1}    0.52{col 46}{space 3}0.602{col 54}{space 4}-.0777174{col 67}{space 3} .1336339
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2}-.0065191{col 26}{space 2} .0066741{col 37}{space 1}   -0.98{col 46}{space 3}0.330{col 54}{space 4}-.0196992{col 67}{space 3}  .006661
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2} .0167029{col 26}{space 2} .0186137{col 37}{space 1}    0.90{col 46}{space 3}0.371{col 54}{space 4}-.0200556{col 67}{space 3} .0534614
{txt}c_treatful.. {c |}{col 14}{res}{space 2}-.1637402{col 26}{space 2} .0865339{col 37}{space 1}   -1.89{col 46}{space 3}0.060{col 54}{space 4} -.334628{col 67}{space 3} .0071477
{txt}c_treatful.. {c |}{col 14}{res}{space 2}-.0031254{col 26}{space 2} .0080302{col 37}{space 1}   -0.39{col 46}{space 3}0.698{col 54}{space 4}-.0189835{col 67}{space 3} .0127326
{txt}c_treatful.. {c |}{col 14}{res}{space 2}-.0027498{col 26}{space 2} .0263462{col 37}{space 1}   -0.10{col 46}{space 3}0.917{col 54}{space 4}-.0547784{col 67}{space 3} .0492788
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} .0630361{col 26}{space 2} .0087441{col 37}{space 1}    7.21{col 46}{space 3}0.000{col 54}{space 4} .0457682{col 67}{space 3} .0803041
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull + treatfull_distance = 0{p_end}

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}e_mortrat~05{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}(1) {c |}{col 14}{res}{space 2}-.0148694{col 26}{space 2} .0099588{col 37}{space 1}   -1.49{col 46}{space 3}0.137{col 54}{space 4}-.0345361{col 67}{space 3} .0047974
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull + treatfull_distance = 0{p_end}

{txt}       F(  1,   161) ={res}    2.23
{txt}{col 13}Prob > F ={res}    0.1374

{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}       187
{txt}{col 49}F({res}  10{txt},{res}    161{txt}){col 67}= {res}      1.60
{txt}{col 49}Prob > F{col 67}= {res}    0.1103
{txt}{col 49}R-squared{col 67}= {res}    0.1159
{txt}{col 49}Adj R-squared{col 67}= {res}   -0.0214
{txt}{col 49}Root MSE{col 67}= {res}    0.6961

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}e_h_ctzpre_z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2} .0979047{col 26}{space 2}  .129463{col 37}{space 1}    0.76{col 46}{space 3}0.451{col 54}{space 4}-.1577598{col 67}{space 3} .3535692
{txt}treatfull_~e {c |}{col 14}{res}{space 2}-.4776073{col 26}{space 2} .2004235{col 37}{space 1}   -2.38{col 46}{space 3}0.018{col 54}{space 4}-.8734053{col 67}{space 3}-.0818093
{txt}b_distance~d {c |}{col 14}{res}{space 2} .1383623{col 26}{space 2} .1319153{col 37}{space 1}    1.05{col 46}{space 3}0.296{col 54}{space 4}-.1221452{col 67}{space 3} .3988698
{txt}b_h_ctzpre_z {c |}{col 14}{res}{space 2} .0014723{col 26}{space 2} .0627198{col 37}{space 1}    0.02{col 46}{space 3}0.981{col 54}{space 4}-.1223872{col 67}{space 3} .1253319
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2}-.6284503{col 26}{space 2} .5451881{col 37}{space 1}   -1.15{col 46}{space 3}0.251{col 54}{space 4}-1.705092{col 67}{space 3} .4481916
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2}-.0063178{col 26}{space 2} .0874019{col 37}{space 1}   -0.07{col 46}{space 3}0.942{col 54}{space 4}-.1789198{col 67}{space 3} .1662841
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2}-.2513541{col 26}{space 2} .2356789{col 37}{space 1}   -1.07{col 46}{space 3}0.288{col 54}{space 4}-.7167747{col 67}{space 3} .2140666
{txt}c_treatful.. {c |}{col 14}{res}{space 2} 1.295793{col 26}{space 2}  1.01538{col 37}{space 1}    1.28{col 46}{space 3}0.204{col 54}{space 4}-.7093866{col 67}{space 3} 3.300973
{txt}c_treatful.. {c |}{col 14}{res}{space 2} .0786056{col 26}{space 2} .1101748{col 37}{space 1}    0.71{col 46}{space 3}0.477{col 54}{space 4}-.1389685{col 67}{space 3} .2961798
{txt}c_treatful.. {c |}{col 14}{res}{space 2} .2966745{col 26}{space 2} .2711668{col 37}{space 1}    1.09{col 46}{space 3}0.276{col 54}{space 4}-.2388279{col 67}{space 3} .8321768
{txt}{space 7}_cons {c |}{col 14}{res}{space 2}-.0521229{col 26}{space 2} .0857655{col 37}{space 1}   -0.61{col 46}{space 3}0.544{col 54}{space 4}-.2214934{col 67}{space 3} .1172476
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull + treatfull_distance = 0{p_end}

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}e_h_ctzpre_z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}(1) {c |}{col 14}{res}{space 2}-.3797026{col 26}{space 2} .1610137{col 37}{space 1}   -2.36{col 46}{space 3}0.020{col 54}{space 4}-.6976738{col 67}{space 3}-.0617314
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull + treatfull_distance = 0{p_end}

{txt}       F(  1,   161) ={res}    5.56
{txt}{col 13}Prob > F ={res}    0.0196
{txt}
{com}. 
.         
.         * Subgroup Effects: Urban Area
.         
.         foreach x in `indices_hc' {c -(}
{txt}  2{com}.         
.                 areg e_`x' treatfull treatfull_urbanarea b_h_urb_area b_`x' `e_controls_tfull_hc' `treatfull_hc_int_e_controls' if uniquehc == 1, robust a(district)
{txt}  3{com}.                 eststo e_`x'_urbanarea
{txt}  4{com}.                 local n_urbanarea_`x' = string(e(N),"%9.0fc")
{txt}  5{com}.                 local r2_urbanarea_`x' = string(e(r2),"%9.3fc")
{txt}  6{com}.                 
.                 lincom treatfull + treatfull_urbanarea
{txt}  7{com}.                 local est_urbanarea_`x' = r(estimate)
{txt}  8{com}.                 local se_urbanarea_`x' = r(se)
{txt}  9{com}.                 test treatfull + treatfull_urbanarea = 0
{txt} 10{com}.                 local p_urbanarea_`x' = r(p)
{txt} 11{com}.                 
.                 local est_ruralarea_`x' = string(_b[treatfull],"%9.3fc")
{txt} 12{com}.                 local se_ruralarea_`x' = string(_se[treatfull],"%9.3fc")
{txt} 13{com}.                 local p_ruralarea_`x' = (2 * ttail(e(df_r), abs(_b[treatfull]/_se[treatfull])))
{txt} 14{com}.                 
.                 local est_tmxrural_`x' = string(_b[treatfull_urbanarea],"%9.3fc")
{txt} 15{com}.                 local se_tmxrural_`x' = string(_se[treatfull_urbanarea],"%9.3fc")
{txt} 16{com}.                 local p_tmxrural_`x' = (2 * ttail(e(df_r), abs(_b[treatfull_urbanarea]/_se[treatfull_urbanarea])))
{txt} 17{com}.                         
.                 local est_smrural_`x' = string(_b[b_h_urb_area],"%9.3fc")
{txt} 18{com}.                 local se_smrural_`x' = string(_se[b_h_urb_area],"%9.3fc")
{txt} 19{com}.                 local p_smrural_`x' = (2 * ttail(e(df_r), abs(_b[b_h_urb_area]/_se[b_h_urb_area])))
{txt} 20{com}.                 
.                 local est_crural_`x' = string(_b[_cons],"%9.3fc")
{txt} 21{com}.                 local se_crural_`x' = string(_se[_cons],"%9.3fc")
{txt} 22{com}.                 local p_crural_`x' = (2 * ttail(e(df_r), abs(_b[_cons]/_se[_cons])))
{txt} 23{com}.                 
.                 foreach var in ruralarea tmxrural smrural crural {c -(}
{txt} 24{com}.                         
.                         gen sign_`var'_zero_`x' = (`p_`var'_`x''>0.1)
{txt} 25{com}.                         gen sign_`var'_p1s_`x' = (`p_`var'_`x''<=0.1 & `p_`var'_`x''>0.05 & `est_`var'_`x''>0)
{txt} 26{com}.                         gen sign_`var'_p2s_`x' = (`p_`var'_`x''<=0.05 & `p_`var'_`x''>0.01 & `est_`var'_`x''>0)
{txt} 27{com}.                         gen sign_`var'_p3s_`x' = (`p_`var'_`x''<=0.01 & `p_`var'_`x''>=0 & `est_`var'_`x''>0)
{txt} 28{com}.                         gen sign_`var'_m1s_`x' = (`p_`var'_`x''<=0.1 & `p_`var'_`x''>0.05 & `est_`var'_`x''<0)
{txt} 29{com}.                         gen sign_`var'_m2s_`x' = (`p_`var'_`x''<=0.05 & `p_`var'_`x''>0.01 & `est_`var'_`x''<0)
{txt} 30{com}.                         gen sign_`var'_m3s_`x' = (`p_`var'_`x''<=0.01 & `p_`var'_`x''>=0 & `est_`var'_`x''<0)
{txt} 31{com}.                         
.                         if sign_`var'_p1s_`x' == 1 {c -(}
{txt} 32{com}.                                         local sign_`var'_`x' = "\cellcolor[HTML]{c -(}EFEFEF{c )-}+"
{txt} 33{com}.                                         local est_`var'_`x' = "`est_`var'_`x''*"
{txt} 34{com}.                                         {c )-}
{txt} 35{com}.                                         
.                         if sign_`var'_p2s_`x' == 1 {c -(}    
{txt} 36{com}.                                         local sign_`var'_`x' = "\cellcolor[HTML]{c -(}C0C0C0{c )-}+"
{txt} 37{com}.                                         local est_`var'_`x' = "`est_`var'_`x''**"
{txt} 38{com}.                                         {c )-}
{txt} 39{com}.                                         
.                         if sign_`var'_p3s_`x' == 1 {c -(}    
{txt} 40{com}.                                         local sign_`var'_`x' = "\cellcolor[HTML]{c -(}9B9B9B{c )-}+"
{txt} 41{com}.                                         local est_`var'_`x' = "`est_`var'_`x''***"
{txt} 42{com}.                                         {c )-}
{txt} 43{com}.                                 
.                         if sign_`var'_m1s_`x' == 1 {c -(}
{txt} 44{com}.                                         local sign_`var'_`x' = "\cellcolor[HTML]{c -(}EFEFEF{c )-}-"
{txt} 45{com}.                                         local est_`var'_`x' = "`est_`var'_`x''*"
{txt} 46{com}.                                         {c )-}
{txt} 47{com}.                                         
.                         if sign_`var'_m2s_`x' == 1 {c -(}    
{txt} 48{com}.                                         local sign_`var'_`x' = "\cellcolor[HTML]{c -(}C0C0C0{c )-}-"
{txt} 49{com}.                                         local est_`var'_`x' = "`est_`var'_`x''**"
{txt} 50{com}.                                         {c )-}
{txt} 51{com}.                                         
.                         if sign_`var'_m3s_`x' == 1 {c -(}    
{txt} 52{com}.                                         local sign_`var'_`x' = "\cellcolor[HTML]{c -(}9B9B9B{c )-}-"
{txt} 53{com}.                                         local est_`var'_`x' = "`est_`var'_`x''***"
{txt} 54{com}.                                         {c )-}
{txt} 55{com}.                                 
.                         if sign_`var'_zero_`x' == 1 {c -(}
{txt} 56{com}.                                 local sign_`var'_`x' = "0"
{txt} 57{com}.                                 {c )-}
{txt} 58{com}.                                 
.                         {c )-}
{txt} 59{com}.                 
.                 gen sign_urbanarea_zero_`x' = (`p_urbanarea_`x''>0.1)
{txt} 60{com}.                 gen sign_urbanarea_p1s_`x' = (`p_urbanarea_`x''<=0.1 & `p_urbanarea_`x''>0.05 & `est_urbanarea_`x''>0)
{txt} 61{com}.                 gen sign_urbanarea_p2s_`x' = (`p_urbanarea_`x''<=0.05 & `p_urbanarea_`x''>0.01 & `est_urbanarea_`x''>0)
{txt} 62{com}.                 gen sign_urbanarea_p3s_`x' = (`p_urbanarea_`x''<=0.01 & `p_urbanarea_`x''>=0 & `est_urbanarea_`x''>0)
{txt} 63{com}.                 gen sign_urbanarea_m1s_`x' = (`p_urbanarea_`x''<=0.1 & `p_urbanarea_`x''>0.05 & `est_urbanarea_`x''<0)
{txt} 64{com}.                 gen sign_urbanarea_m2s_`x' = (`p_urbanarea_`x''<=0.05 & `p_urbanarea_`x''>0.01 & `est_urbanarea_`x''<0)
{txt} 65{com}.                 gen sign_urbanarea_m3s_`x' = (`p_urbanarea_`x''<=0.01 & `p_urbanarea_`x''>=0 & `est_urbanarea_`x''<0)
{txt} 66{com}.                 
.                 local p_urbanarea_`x' = string(`p_urbanarea_`x'',"%9.3fc")
{txt} 67{com}.                 local est_urbanarea_`x' = string(`est_urbanarea_`x'',"%9.3fc")
{txt} 68{com}.                 local se_urbanarea_`x' = string(`se_urbanarea_`x'',"%9.3fc")
{txt} 69{com}.                 
.                 if sign_urbanarea_p1s_`x' == 1 {c -(}
{txt} 70{com}.                                 local sign_urbanarea_`x' = "\cellcolor[HTML]{c -(}EFEFEF{c )-}+"
{txt} 71{com}.                                 local est_urbanarea_`x' = "`est_urbanarea_`x''*"
{txt} 72{com}.                                 {c )-}
{txt} 73{com}.                                 
.                 if sign_urbanarea_p2s_`x' == 1 {c -(}        
{txt} 74{com}.                                 local sign_urbanarea_`x' = "\cellcolor[HTML]{c -(}C0C0C0{c )-}+"
{txt} 75{com}.                                 local est_urbanarea_`x' = "`est_urbanarea_`x''**"
{txt} 76{com}.                                 {c )-}
{txt} 77{com}.                                 
.                 if sign_urbanarea_p3s_`x' == 1 {c -(}        
{txt} 78{com}.                                 local sign_urbanarea_`x' = "\cellcolor[HTML]{c -(}9B9B9B{c )-}+"
{txt} 79{com}.                                 local est_urbanarea_`x' = "`est_urbanarea_`x''***"
{txt} 80{com}.                                 {c )-}
{txt} 81{com}.                         
.                 if sign_urbanarea_m1s_`x' == 1 {c -(}
{txt} 82{com}.                                 local sign_urbanarea_`x' = "\cellcolor[HTML]{c -(}EFEFEF{c )-}-"
{txt} 83{com}.                                 local est_urbanarea_`x' = "`est_urbanarea_`x''*"
{txt} 84{com}.                                 {c )-}
{txt} 85{com}.                                 
.                 if sign_urbanarea_m2s_`x' == 1 {c -(}        
{txt} 86{com}.                                 local sign_urbanarea_`x' = "\cellcolor[HTML]{c -(}C0C0C0{c )-}-"
{txt} 87{com}.                                 local est_urbanarea_`x' = "`est_urbanarea_`x''**"
{txt} 88{com}.                                 {c )-}
{txt} 89{com}.                                 
.                 if sign_urbanarea_m3s_`x' == 1 {c -(}        
{txt} 90{com}.                                 local sign_urbanarea_`x' = "\cellcolor[HTML]{c -(}9B9B9B{c )-}-"
{txt} 91{com}.                                 local est_urbanarea_`x' = "`est_urbanarea_`x''***"
{txt} 92{com}.                                 {c )-}
{txt} 93{com}.                         
.                 if sign_urbanarea_zero_`x' == 1 {c -(}
{txt} 94{com}.                         local sign_urbanarea_`x' = "0"
{txt} 95{com}.                         {c )-}
{txt} 96{com}.                 
.                 drop sign_*
{txt} 97{com}.                 
.                 {c )-}
{res}
{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}       187
{txt}{col 49}F({res}  10{txt},{res}    161{txt}){col 67}= {res}      1.47
{txt}{col 49}Prob > F{col 67}= {res}    0.1535
{txt}{col 49}R-squared{col 67}= {res}    0.1965
{txt}{col 49}Adj R-squared{col 67}= {res}    0.0718
{txt}{col 49}Root MSE{col 67}= {res}    0.0528

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}e_mortrat~05{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2} .0008935{col 26}{space 2} .0180243{col 37}{space 1}    0.05{col 46}{space 3}0.961{col 54}{space 4} -.034701{col 67}{space 3}  .036488
{txt}treatfull_~a {c |}{col 14}{res}{space 2}-.0126249{col 26}{space 2}  .020669{col 37}{space 1}   -0.61{col 46}{space 3}0.542{col 54}{space 4}-.0534422{col 67}{space 3} .0281925
{txt}b_h_urb_area {c |}{col 14}{res}{space 2}  .023311{col 26}{space 2} .0173356{col 37}{space 1}    1.34{col 46}{space 3}0.181{col 54}{space 4}-.0109235{col 67}{space 3} .0575455
{txt}b_mortrat~05 {c |}{col 14}{res}{space 2} .0773358{col 26}{space 2} .0637491{col 37}{space 1}    1.21{col 46}{space 3}0.227{col 54}{space 4}-.0485563{col 67}{space 3}  .203228
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2} .0193888{col 26}{space 2} .0508157{col 37}{space 1}    0.38{col 46}{space 3}0.703{col 54}{space 4}-.0809624{col 67}{space 3} .1197399
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2}-.0046435{col 26}{space 2} .0069699{col 37}{space 1}   -0.67{col 46}{space 3}0.506{col 54}{space 4}-.0184078{col 67}{space 3} .0091208
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2} .0198665{col 26}{space 2}  .020259{col 37}{space 1}    0.98{col 46}{space 3}0.328{col 54}{space 4}-.0201412{col 67}{space 3} .0598742
{txt}c_treatful.. {c |}{col 14}{res}{space 2} -.182387{col 26}{space 2}  .081417{col 37}{space 1}   -2.24{col 46}{space 3}0.026{col 54}{space 4}  -.34317{col 67}{space 3}-.0216041
{txt}c_treatful.. {c |}{col 14}{res}{space 2} -.003878{col 26}{space 2} .0081184{col 37}{space 1}   -0.48{col 46}{space 3}0.634{col 54}{space 4}-.0199103{col 67}{space 3} .0121543
{txt}c_treatful.. {c |}{col 14}{res}{space 2}-.0078484{col 26}{space 2} .0265921{col 37}{space 1}   -0.30{col 46}{space 3}0.768{col 54}{space 4}-.0603627{col 67}{space 3}  .044666
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} .0424145{col 26}{space 2} .0149152{col 37}{space 1}    2.84{col 46}{space 3}0.005{col 54}{space 4} .0129599{col 67}{space 3} .0718692
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull + treatfull_urbanarea = 0{p_end}

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}e_mortrat~05{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}(1) {c |}{col 14}{res}{space 2}-.0117314{col 26}{space 2} .0091125{col 37}{space 1}   -1.29{col 46}{space 3}0.200{col 54}{space 4}-.0297268{col 67}{space 3}  .006264
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull + treatfull_urbanarea = 0{p_end}

{txt}       F(  1,   161) ={res}    1.66
{txt}{col 13}Prob > F ={res}    0.1998

{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}       187
{txt}{col 49}F({res}  10{txt},{res}    161{txt}){col 67}= {res}      0.65
{txt}{col 49}Prob > F{col 67}= {res}    0.7720
{txt}{col 49}R-squared{col 67}= {res}    0.0934
{txt}{col 49}Adj R-squared{col 67}= {res}   -0.0473
{txt}{col 49}Root MSE{col 67}= {res}    0.7049

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}e_h_ctzpre_z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2}-.3220112{col 26}{space 2} .2968945{col 37}{space 1}   -1.08{col 46}{space 3}0.280{col 54}{space 4}-.9083209{col 67}{space 3} .2642985
{txt}treatfull_~a {c |}{col 14}{res}{space 2} .2719035{col 26}{space 2} .3334074{col 37}{space 1}    0.82{col 46}{space 3}0.416{col 54}{space 4}-.3865121{col 67}{space 3} .9303191
{txt}b_h_urb_area {c |}{col 14}{res}{space 2}-.0595483{col 26}{space 2} .2482551{col 37}{space 1}   -0.24{col 46}{space 3}0.811{col 54}{space 4}-.5498045{col 67}{space 3} .4307078
{txt}b_h_ctzpre_z {c |}{col 14}{res}{space 2}  .011707{col 26}{space 2}  .063969{col 37}{space 1}    0.18{col 46}{space 3}0.855{col 54}{space 4}-.1146195{col 67}{space 3} .1380335
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2}-.4990716{col 26}{space 2} .5203617{col 37}{space 1}   -0.96{col 46}{space 3}0.339{col 54}{space 4}-1.526686{col 67}{space 3} .5285429
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2}-.0200439{col 26}{space 2} .0900899{col 37}{space 1}   -0.22{col 46}{space 3}0.824{col 54}{space 4}-.1979541{col 67}{space 3} .1578663
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2}-.1932318{col 26}{space 2} .2483239{col 37}{space 1}   -0.78{col 46}{space 3}0.438{col 54}{space 4}-.6836239{col 67}{space 3} .2971603
{txt}c_treatful.. {c |}{col 14}{res}{space 2} .5670993{col 26}{space 2} 1.040758{col 37}{space 1}    0.54{col 46}{space 3}0.587{col 54}{space 4}-1.488198{col 67}{space 3} 2.622397
{txt}c_treatful.. {c |}{col 14}{res}{space 2} .1055529{col 26}{space 2} .1150815{col 37}{space 1}    0.92{col 46}{space 3}0.360{col 54}{space 4}-.1217111{col 67}{space 3} .3328168
{txt}c_treatful.. {c |}{col 14}{res}{space 2} .1775318{col 26}{space 2} .2638006{col 37}{space 1}    0.67{col 46}{space 3}0.502{col 54}{space 4}-.3434238{col 67}{space 3} .6984874
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} .0576201{col 26}{space 2} .2190336{col 37}{space 1}    0.26{col 46}{space 3}0.793{col 54}{space 4}-.3749292{col 67}{space 3} .4901695
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull + treatfull_urbanarea = 0{p_end}

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}e_h_ctzpre_z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}(1) {c |}{col 14}{res}{space 2}-.0501077{col 26}{space 2} .1145107{col 37}{space 1}   -0.44{col 46}{space 3}0.662{col 54}{space 4}-.2762444{col 67}{space 3}  .176029
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull + treatfull_urbanarea = 0{p_end}

{txt}       F(  1,   161) ={res}    0.19
{txt}{col 13}Prob > F ={res}    0.6623
{txt}
{com}.         
.         * Subgroup Effects: Presence of NGO
.         
.         foreach x in `indices_hc ' {c -(}
{txt}  2{com}.         
.                 areg e_`x' treatfull treatfull_ngo_hc b_ngo_hc b_`x' `e_controls_tfull_hc' `treatfull_hc_int_e_controls' if uniquehc == 1, robust a(district)
{txt}  3{com}.                 eststo e_`x'_ngo
{txt}  4{com}.                 local n_ngo_`x' = string(e(N),"%9.0fc")
{txt}  5{com}.                 local r2_ngo_`x' = string(e(r2),"%9.3fc")
{txt}  6{com}.                 
.                 lincom treatfull + treatfull_ngo_hc
{txt}  7{com}.                 local est_ngo_`x' = r(estimate)
{txt}  8{com}.                 local se_ngo_`x' = r(se)
{txt}  9{com}.                 test treatfull + treatfull_ngo_hc = 0
{txt} 10{com}.                 local p_ngo_`x' = r(p)
{txt} 11{com}.                 
.                 local est_bngo_`x' = string(_b[treatfull],"%9.3fc")
{txt} 12{com}.                 local se_bngo_`x' = string(_se[treatfull],"%9.3fc")
{txt} 13{com}.                 local p_bngo_`x' = (2 * ttail(e(df_r), abs(_b[treatfull]/_se[treatfull])))
{txt} 14{com}.                 
.                 local est_tmxngo_`x' = string(_b[treatfull_ngo_hc],"%9.3fc")
{txt} 15{com}.                 local se_tmxngo_`x' = string(_se[treatfull_ngo_hc],"%9.3fc")
{txt} 16{com}.                 local p_tmxngo_`x' = (2 * ttail(e(df_r), abs(_b[treatfull_ngo_hc]/_se[treatfull_ngo_hc])))
{txt} 17{com}.                 
.                 local est_smngo_`x' = string(_b[b_ngo_hc],"%9.3fc")
{txt} 18{com}.                 local se_smngo_`x' = string(_se[b_ngo_hc],"%9.3fc")
{txt} 19{com}.                 local p_smngo_`x' = (2 * ttail(e(df_r), abs(_b[b_ngo_hc]/_se[b_ngo_hc])))
{txt} 20{com}.                 
.                 local est_cngo_`x' = string(_b[_cons],"%9.3fc")
{txt} 21{com}.                 local se_cngo_`x' = string(_se[_cons],"%9.3fc")
{txt} 22{com}.                 local p_cngo_`x' = (2 * ttail(e(df_r), abs(_b[_cons]/_se[_cons])))
{txt} 23{com}.                 
.                 foreach var in bngo tmxngo smngo cngo {c -(}
{txt} 24{com}.                 
.                         gen sign_`var'_zero_`x' = (`p_`var'_`x''>0.1)
{txt} 25{com}.                         gen sign_`var'_p1s_`x' = (`p_`var'_`x''<=0.1 & `p_`var'_`x''>0.05 & `est_`var'_`x''>0)
{txt} 26{com}.                         gen sign_`var'_p2s_`x' = (`p_`var'_`x''<=0.05 & `p_`var'_`x''>0.01 & `est_`var'_`x''>0)
{txt} 27{com}.                         gen sign_`var'_p3s_`x' = (`p_`var'_`x''<=0.01 & `p_`var'_`x''>=0 & `est_`var'_`x''>0)
{txt} 28{com}.                         gen sign_`var'_m1s_`x' = (`p_`var'_`x''<=0.1 & `p_`var'_`x''>0.05 & `est_`var'_`x''<0)
{txt} 29{com}.                         gen sign_`var'_m2s_`x' = (`p_`var'_`x''<=0.05 & `p_`var'_`x''>0.01 & `est_`var'_`x''<0)
{txt} 30{com}.                         gen sign_`var'_m3s_`x' = (`p_`var'_`x''<=0.01 & `p_`var'_`x''>=0 & `est_`var'_`x''<0)
{txt} 31{com}.                         
.                         if sign_`var'_p1s_`x' == 1 {c -(}
{txt} 32{com}.                                         local sign_`var'_`x' = "\cellcolor[HTML]{c -(}EFEFEF{c )-}+"
{txt} 33{com}.                                         local est_`var'_`x' = "`est_`var'_`x''*"
{txt} 34{com}.                                         {c )-}
{txt} 35{com}.                                         
.                         if sign_`var'_p2s_`x' == 1 {c -(}    
{txt} 36{com}.                                         local sign_`var'_`x' = "\cellcolor[HTML]{c -(}C0C0C0{c )-}+"
{txt} 37{com}.                                         local est_`var'_`x' = "`est_`var'_`x''**"
{txt} 38{com}.                                         {c )-}
{txt} 39{com}.                                         
.                         if sign_`var'_p3s_`x' == 1 {c -(}    
{txt} 40{com}.                                         local sign_`var'_`x' = "\cellcolor[HTML]{c -(}9B9B9B{c )-}+"
{txt} 41{com}.                                         local est_`var'_`x' = "`est_`var'_`x''***"
{txt} 42{com}.                                         {c )-}
{txt} 43{com}.                                 
.                         if sign_`var'_m1s_`x' == 1 {c -(}
{txt} 44{com}.                                         local sign_`var'_`x' = "\cellcolor[HTML]{c -(}EFEFEF{c )-}-"
{txt} 45{com}.                                         local est_`var'_`x' = "`est_`var'_`x''*"
{txt} 46{com}.                                         {c )-}
{txt} 47{com}.                                         
.                         if sign_`var'_m2s_`x' == 1 {c -(}    
{txt} 48{com}.                                         local sign_`var'_`x' = "\cellcolor[HTML]{c -(}C0C0C0{c )-}-"
{txt} 49{com}.                                         local est_`var'_`x' = "`est_`var'_`x''**"
{txt} 50{com}.                                         {c )-}
{txt} 51{com}.                                         
.                         if sign_`var'_m3s_`x' == 1 {c -(}    
{txt} 52{com}.                                         local sign_`var'_`x' = "\cellcolor[HTML]{c -(}9B9B9B{c )-}-"
{txt} 53{com}.                                         local est_`var'_`x' = "`est_`var'_`x''***"
{txt} 54{com}.                                         {c )-}
{txt} 55{com}.                                 
.                         if sign_`var'_zero_`x' == 1 {c -(}
{txt} 56{com}.                                 local sign_`var'_`x' = "0"
{txt} 57{com}.                                 {c )-}
{txt} 58{com}.                                 
.                         {c )-}
{txt} 59{com}.                         
.                 gen sign_ngo_zero_`x' = (`p_ngo_`x''>0.1)
{txt} 60{com}.                 gen sign_ngo_p1s_`x' = (`p_ngo_`x''<=0.1 & `p_ngo_`x''>0.05 & `est_ngo_`x''>0)
{txt} 61{com}.                 gen sign_ngo_p2s_`x' = (`p_ngo_`x''<=0.05 & `p_ngo_`x''>0.01 & `est_ngo_`x''>0)
{txt} 62{com}.                 gen sign_ngo_p3s_`x' = (`p_ngo_`x''<=0.01 & `p_ngo_`x''>=0 & `est_ngo_`x''>0)
{txt} 63{com}.                 gen sign_ngo_m1s_`x' = (`p_ngo_`x''<=0.1 & `p_ngo_`x''>0.05 & `est_ngo_`x''<0)
{txt} 64{com}.                 gen sign_ngo_m2s_`x' = (`p_ngo_`x''<=0.05 & `p_ngo_`x''>0.01 & `est_ngo_`x''<0)
{txt} 65{com}.                 gen sign_ngo_m3s_`x' = (`p_ngo_`x''<=0.01 & `p_ngo_`x''>=0 & `est_ngo_`x''<0)
{txt} 66{com}.                 
.                 local p_ngo_`x' = string(`p_ngo_`x'',"%9.3fc")
{txt} 67{com}.                 local est_ngo_`x' = string(`est_ngo_`x'',"%9.3fc")
{txt} 68{com}.                 local se_ngo_`x' = string(`se_ngo_`x'',"%9.3fc")
{txt} 69{com}.                 
.                 if sign_ngo_p1s_`x' == 1 {c -(}
{txt} 70{com}.                                 local sign_ngo_`x' = "\cellcolor[HTML]{c -(}EFEFEF{c )-}+"
{txt} 71{com}.                                 local est_ngo_`x' = "`est_ngo_`x''*"
{txt} 72{com}.                                 {c )-}
{txt} 73{com}.                                 
.                 if sign_ngo_p2s_`x' == 1 {c -(}      
{txt} 74{com}.                                 local sign_ngo_`x' = "\cellcolor[HTML]{c -(}C0C0C0{c )-}+"
{txt} 75{com}.                                 local est_ngo_`x' = "`est_ngo_`x''**"
{txt} 76{com}.                                 {c )-}
{txt} 77{com}.                                 
.                 if sign_ngo_p3s_`x' == 1 {c -(}      
{txt} 78{com}.                                 local sign_ngo_`x' = "\cellcolor[HTML]{c -(}9B9B9B{c )-}+"
{txt} 79{com}.                                 local est_ngo_`x' = "`est_ngo_`x''***"
{txt} 80{com}.                                 {c )-}
{txt} 81{com}.                         
.                 if sign_ngo_m1s_`x' == 1 {c -(}
{txt} 82{com}.                                 local sign_ngo_`x' = "\cellcolor[HTML]{c -(}EFEFEF{c )-}-"
{txt} 83{com}.                                 local est_ngo_`x' = "`est_ngo_`x''*"
{txt} 84{com}.                                 {c )-}
{txt} 85{com}.                                 
.                 if sign_ngo_m2s_`x' == 1 {c -(}      
{txt} 86{com}.                                 local sign_ngo_`x' = "\cellcolor[HTML]{c -(}C0C0C0{c )-}-"
{txt} 87{com}.                                 local est_ngo_`x' = "`est_ngo_`x''**"
{txt} 88{com}.                                 {c )-}
{txt} 89{com}.                                 
.                 if sign_ngo_m3s_`x' == 1 {c -(}      
{txt} 90{com}.                                 local sign_ngo_`x' = "\cellcolor[HTML]{c -(}9B9B9B{c )-}-"
{txt} 91{com}.                                 local est_ngo_`x' = "`est_ngo_`x''***"
{txt} 92{com}.                                 {c )-}
{txt} 93{com}.                         
.                 if sign_ngo_zero_`x' == 1 {c -(}
{txt} 94{com}.                         local sign_ngo_`x' = "0"
{txt} 95{com}.                         {c )-}
{txt} 96{com}.                         
.                 drop sign_*
{txt} 97{com}. 
.                 {c )-}
{res}
{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}       187
{txt}{col 49}F({res}  10{txt},{res}    161{txt}){col 67}= {res}      1.23
{txt}{col 49}Prob > F{col 67}= {res}    0.2753
{txt}{col 49}R-squared{col 67}= {res}    0.1907
{txt}{col 49}Adj R-squared{col 67}= {res}    0.0651
{txt}{col 49}Root MSE{col 67}= {res}    0.0530

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}e_mortrat~05{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2}-.0151571{col 26}{space 2} .0134042{col 37}{space 1}   -1.13{col 46}{space 3}0.260{col 54}{space 4}-.0416279{col 67}{space 3} .0113137
{txt}treatfu~o_hc {c |}{col 14}{res}{space 2} .0074052{col 26}{space 2} .0173361{col 37}{space 1}    0.43{col 46}{space 3}0.670{col 54}{space 4}-.0268303{col 67}{space 3} .0416408
{txt}{space 4}b_ngo_hc {c |}{col 14}{res}{space 2}-.0140147{col 26}{space 2} .0132379{col 37}{space 1}   -1.06{col 46}{space 3}0.291{col 54}{space 4} -.040157{col 67}{space 3} .0121275
{txt}b_mortrat~05 {c |}{col 14}{res}{space 2} .0826271{col 26}{space 2} .0655425{col 37}{space 1}    1.26{col 46}{space 3}0.209{col 54}{space 4}-.0468068{col 67}{space 3} .2120609
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2} .0341325{col 26}{space 2} .0603414{col 37}{space 1}    0.57{col 46}{space 3}0.572{col 54}{space 4}-.0850303{col 67}{space 3} .1532952
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2}-.0054011{col 26}{space 2} .0069371{col 37}{space 1}   -0.78{col 46}{space 3}0.437{col 54}{space 4}-.0191005{col 67}{space 3} .0082983
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2} .0138746{col 26}{space 2} .0192797{col 37}{space 1}    0.72{col 46}{space 3}0.473{col 54}{space 4} -.024199{col 67}{space 3} .0519483
{txt}c_treatful.. {c |}{col 14}{res}{space 2}-.2006964{col 26}{space 2} .0900337{col 37}{space 1}   -2.23{col 46}{space 3}0.027{col 54}{space 4}-.3784958{col 67}{space 3}-.0228971
{txt}c_treatful.. {c |}{col 14}{res}{space 2}-.0027817{col 26}{space 2} .0081255{col 37}{space 1}   -0.34{col 46}{space 3}0.733{col 54}{space 4}-.0188279{col 67}{space 3} .0132645
{txt}c_treatful.. {c |}{col 14}{res}{space 2} -.010328{col 26}{space 2} .0255663{col 37}{space 1}   -0.40{col 46}{space 3}0.687{col 54}{space 4}-.0608165{col 67}{space 3} .0401605
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} .0688997{col 26}{space 2} .0107609{col 37}{space 1}    6.40{col 46}{space 3}0.000{col 54}{space 4}  .047649{col 67}{space 3} .0901505
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull + treatfull_ngo_hc = 0{p_end}

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}e_mortrat~05{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}(1) {c |}{col 14}{res}{space 2}-.0077519{col 26}{space 2} .0101899{col 37}{space 1}   -0.76{col 46}{space 3}0.448{col 54}{space 4}-.0278749{col 67}{space 3} .0123711
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull + treatfull_ngo_hc = 0{p_end}

{txt}       F(  1,   161) ={res}    0.58
{txt}{col 13}Prob > F ={res}    0.4479

{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}       187
{txt}{col 49}F({res}  10{txt},{res}    161{txt}){col 67}= {res}      0.66
{txt}{col 49}Prob > F{col 67}= {res}    0.7569
{txt}{col 49}R-squared{col 67}= {res}    0.0959
{txt}{col 49}Adj R-squared{col 67}= {res}   -0.0445
{txt}{col 49}Root MSE{col 67}= {res}    0.7040

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}e_h_ctzpre_z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2} .0472835{col 26}{space 2} .1489399{col 37}{space 1}    0.32{col 46}{space 3}0.751{col 54}{space 4}-.2468442{col 67}{space 3} .3414112
{txt}treatfu~o_hc {c |}{col 14}{res}{space 2}-.3154027{col 26}{space 2} .2305888{col 37}{space 1}   -1.37{col 46}{space 3}0.173{col 54}{space 4}-.7707712{col 67}{space 3} .1399659
{txt}{space 4}b_ngo_hc {c |}{col 14}{res}{space 2} .1577831{col 26}{space 2} .1432725{col 37}{space 1}    1.10{col 46}{space 3}0.272{col 54}{space 4}-.1251527{col 67}{space 3} .4407188
{txt}b_h_ctzpre_z {c |}{col 14}{res}{space 2} .0110735{col 26}{space 2} .0625099{col 37}{space 1}    0.18{col 46}{space 3}0.860{col 54}{space 4}-.1123716{col 67}{space 3} .1345185
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2}-.6861188{col 26}{space 2} .5748225{col 37}{space 1}   -1.19{col 46}{space 3}0.234{col 54}{space 4}-1.821283{col 67}{space 3} .4490452
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2}-.0206203{col 26}{space 2} .0845015{col 37}{space 1}   -0.24{col 46}{space 3}0.808{col 54}{space 4}-.1874946{col 67}{space 3} .1462539
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2} -.242228{col 26}{space 2} .2415209{col 37}{space 1}   -1.00{col 46}{space 3}0.317{col 54}{space 4}-.7191855{col 67}{space 3} .2347294
{txt}c_treatful.. {c |}{col 14}{res}{space 2} .7170168{col 26}{space 2} 1.031821{col 37}{space 1}    0.69{col 46}{space 3}0.488{col 54}{space 4}-1.320632{col 67}{space 3} 2.754665
{txt}c_treatful.. {c |}{col 14}{res}{space 2} .1081807{col 26}{space 2} .1136935{col 37}{space 1}    0.95{col 46}{space 3}0.343{col 54}{space 4}-.1163422{col 67}{space 3} .3327035
{txt}c_treatful.. {c |}{col 14}{res}{space 2} .1561083{col 26}{space 2} .2578824{col 37}{space 1}    0.61{col 46}{space 3}0.546{col 54}{space 4}-.3531599{col 67}{space 3} .6653766
{txt}{space 7}_cons {c |}{col 14}{res}{space 2}-.0817687{col 26}{space 2} .1123726{col 37}{space 1}   -0.73{col 46}{space 3}0.468{col 54}{space 4} -.303683{col 67}{space 3} .1401455
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull + treatfull_ngo_hc = 0{p_end}

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}e_h_ctzpre_z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}(1) {c |}{col 14}{res}{space 2}-.2681192{col 26}{space 2} .1624098{col 37}{space 1}   -1.65{col 46}{space 3}0.101{col 54}{space 4}-.5888474{col 67}{space 3} .0526091
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull + treatfull_ngo_hc = 0{p_end}

{txt}       F(  1,   161) ={res}    2.73
{txt}{col 13}Prob > F ={res}    0.1007
{txt}
{com}.         
.         * Subgroup Effects: Baseline U5M
.         
.         foreach x in `indices_hc' {c -(}
{txt}  2{com}. 
.                 areg e_`x' treatfull treatfull_u5m_hc b_h_u5mortality_med_d b_`x' `e_controls_tfull_hc' `treatfull_hc_int_e_controls' if uniquehc == 1, robust a(district)
{txt}  3{com}.                 eststo e_`x'_u5m
{txt}  4{com}.                 local n_u5m_`x' = string(e(N),"%9.0fc")
{txt}  5{com}.                 local r2_u5m_`x' = string(e(r2),"%9.3fc")
{txt}  6{com}.                 
.                 lincom treatfull + treatfull_u5m_hc
{txt}  7{com}.                 local est_u5m_`x' = r(estimate)
{txt}  8{com}.                 local se_u5m_`x' = r(se)
{txt}  9{com}.                 test treatfull + treatfull_u5m_hc = 0
{txt} 10{com}.                 local p_u5m_`x' = r(p)
{txt} 11{com}.                 
.                 local est_bu5m_`x' = string(_b[treatfull],"%9.3fc")
{txt} 12{com}.                 local se_bu5m_`x' = string(_se[treatfull],"%9.3fc")
{txt} 13{com}.                 local p_bu5m_`x' = (2 * ttail(e(df_r), abs(_b[treatfull]/_se[treatfull])))
{txt} 14{com}.                 
.                 local est_tmxu5m_`x' = string(_b[treatfull_u5m_hc],"%9.3fc")
{txt} 15{com}.                 local se_tmxu5m_`x' = string(_se[treatfull_u5m_hc],"%9.3fc")
{txt} 16{com}.                 local p_tmxu5m_`x' = (2 * ttail(e(df_r), abs(_b[treatfull_u5m_hc]/_se[treatfull_u5m_hc])))
{txt} 17{com}.                 
.                 local est_smu5m_`x' = string(_b[b_h_u5mortality_med_d],"%9.3fc")
{txt} 18{com}.                 local se_smu5m_`x' = string(_se[b_h_u5mortality_med_d],"%9.3fc")
{txt} 19{com}.                 local p_smu5m_`x' = (2 * ttail(e(df_r), abs(_b[b_h_u5mortality_med_d]/_se[b_h_u5mortality_med_d])))
{txt} 20{com}.                 
.                 local est_cu5m_`x' = string(_b[_cons],"%9.3fc")
{txt} 21{com}.                 local se_cu5m_`x' = string(_se[_cons],"%9.3fc")
{txt} 22{com}.                 local p_cu5m_`x' = (2 * ttail(e(df_r), abs(_b[_cons]/_se[_cons])))
{txt} 23{com}.                 
.                 foreach var in bu5m tmxu5m smu5m cu5m {c -(}
{txt} 24{com}.                 
.                         gen sign_`var'_zero_`x' = (`p_`var'_`x''>0.1)
{txt} 25{com}.                         gen sign_`var'_p1s_`x' = (`p_`var'_`x''<=0.1 & `p_`var'_`x''>0.05 & `est_`var'_`x''>0)
{txt} 26{com}.                         gen sign_`var'_p2s_`x' = (`p_`var'_`x''<=0.05 & `p_`var'_`x''>0.01 & `est_`var'_`x''>0)
{txt} 27{com}.                         gen sign_`var'_p3s_`x' = (`p_`var'_`x''<=0.01 & `p_`var'_`x''>=0 & `est_`var'_`x''>0)
{txt} 28{com}.                         gen sign_`var'_m1s_`x' = (`p_`var'_`x''<=0.1 & `p_`var'_`x''>0.05 & `est_`var'_`x''<0)
{txt} 29{com}.                         gen sign_`var'_m2s_`x' = (`p_`var'_`x''<=0.05 & `p_`var'_`x''>0.01 & `est_`var'_`x''<0)
{txt} 30{com}.                         gen sign_`var'_m3s_`x' = (`p_`var'_`x''<=0.01 & `p_`var'_`x''>=0 & `est_`var'_`x''<0)
{txt} 31{com}.                         
.                         if sign_`var'_p1s_`x' == 1 {c -(}
{txt} 32{com}.                                         local sign_`var'_`x' = "\cellcolor[HTML]{c -(}EFEFEF{c )-}+"
{txt} 33{com}.                                         local est_`var'_`x' = "`est_`var'_`x''*"
{txt} 34{com}.                                         {c )-}
{txt} 35{com}.                                         
.                         if sign_`var'_p2s_`x' == 1 {c -(}    
{txt} 36{com}.                                         local sign_`var'_`x' = "\cellcolor[HTML]{c -(}C0C0C0{c )-}+"
{txt} 37{com}.                                         local est_`var'_`x' = "`est_`var'_`x''**"
{txt} 38{com}.                                         {c )-}
{txt} 39{com}.                                         
.                         if sign_`var'_p3s_`x' == 1 {c -(}    
{txt} 40{com}.                                         local sign_`var'_`x' = "\cellcolor[HTML]{c -(}9B9B9B{c )-}+"
{txt} 41{com}.                                         local est_`var'_`x' = "`est_`var'_`x''***"
{txt} 42{com}.                                         {c )-}
{txt} 43{com}.                                 
.                         if sign_`var'_m1s_`x' == 1 {c -(}
{txt} 44{com}.                                         local sign_`var'_`x' = "\cellcolor[HTML]{c -(}EFEFEF{c )-}-"
{txt} 45{com}.                                         local est_`var'_`x' = "`est_`var'_`x''*"
{txt} 46{com}.                                         {c )-}
{txt} 47{com}.                                         
.                         if sign_`var'_m2s_`x' == 1 {c -(}    
{txt} 48{com}.                                         local sign_`var'_`x' = "\cellcolor[HTML]{c -(}C0C0C0{c )-}-"
{txt} 49{com}.                                         local est_`var'_`x' = "`est_`var'_`x''**"
{txt} 50{com}.                                         {c )-}
{txt} 51{com}.                                         
.                         if sign_`var'_m3s_`x' == 1 {c -(}    
{txt} 52{com}.                                         local sign_`var'_`x' = "\cellcolor[HTML]{c -(}9B9B9B{c )-}-"
{txt} 53{com}.                                         local est_`var'_`x' = "`est_`var'_`x''***"
{txt} 54{com}.                                         {c )-}
{txt} 55{com}.                                 
.                         if sign_`var'_zero_`x' == 1 {c -(}
{txt} 56{com}.                                 local sign_`var'_`x' = "0"
{txt} 57{com}.                                 {c )-}
{txt} 58{com}.                                 
.                         {c )-}
{txt} 59{com}.                         
.                 gen sign_u5m_zero_`x' = (`p_u5m_`x''>0.1)
{txt} 60{com}.                 gen sign_u5m_p1s_`x' = (`p_u5m_`x''<=0.1 & `p_u5m_`x''>0.05 & `est_u5m_`x''>0)
{txt} 61{com}.                 gen sign_u5m_p2s_`x' = (`p_u5m_`x''<=0.05 & `p_u5m_`x''>0.01 & `est_u5m_`x''>0)
{txt} 62{com}.                 gen sign_u5m_p3s_`x' = (`p_u5m_`x''<=0.01 & `p_u5m_`x''>=0 & `est_u5m_`x''>0)
{txt} 63{com}.                 gen sign_u5m_m1s_`x' = (`p_u5m_`x''<=0.1 & `p_u5m_`x''>0.05 & `est_u5m_`x''<0)
{txt} 64{com}.                 gen sign_u5m_m2s_`x' = (`p_u5m_`x''<=0.05 & `p_u5m_`x''>0.01 & `est_u5m_`x''<0)
{txt} 65{com}.                 gen sign_u5m_m3s_`x' = (`p_u5m_`x''<=0.01 & `p_u5m_`x''>=0 & `est_u5m_`x''<0)
{txt} 66{com}.                 
.                 local p_u5m_`x' = string(`p_u5m_`x'',"%9.3fc")
{txt} 67{com}.                 local est_u5m_`x' = string(`est_u5m_`x'',"%9.3fc")
{txt} 68{com}.                 local se_u5m_`x' = string(`se_u5m_`x'',"%9.3fc")
{txt} 69{com}.                 
.                 if sign_u5m_p1s_`x' == 1 {c -(}
{txt} 70{com}.                                 local sign_u5m_`x' = "\cellcolor[HTML]{c -(}EFEFEF{c )-}+"
{txt} 71{com}.                                 local est_u5m_`x' = "`est_u5m_`x''*"
{txt} 72{com}.                                 {c )-}
{txt} 73{com}.                                 
.                 if sign_u5m_p2s_`x' == 1 {c -(}      
{txt} 74{com}.                                 local sign_u5m_`x' = "\cellcolor[HTML]{c -(}C0C0C0{c )-}+"
{txt} 75{com}.                                 local est_u5m_`x' = "`est_u5m_`x''**"
{txt} 76{com}.                                 {c )-}
{txt} 77{com}.                                 
.                 if sign_u5m_p3s_`x' == 1 {c -(}      
{txt} 78{com}.                                 local sign_u5m_`x' = "\cellcolor[HTML]{c -(}9B9B9B{c )-}+"
{txt} 79{com}.                                 local est_u5m_`x' = "`est_u5m_`x''***"
{txt} 80{com}.                                 {c )-}
{txt} 81{com}.                         
.                 if sign_u5m_m1s_`x' == 1 {c -(}
{txt} 82{com}.                                 local sign_u5m_`x' = "\cellcolor[HTML]{c -(}EFEFEF{c )-}-"
{txt} 83{com}.                                 local est_u5m_`x' = "`est_u5m_`x''*"
{txt} 84{com}.                                 {c )-}
{txt} 85{com}.                                 
.                 if sign_u5m_m2s_`x' == 1 {c -(}      
{txt} 86{com}.                                 local sign_u5m_`x' = "\cellcolor[HTML]{c -(}C0C0C0{c )-}-"
{txt} 87{com}.                                 local est_u5m_`x' = "`est_u5m_`x''**"
{txt} 88{com}.                                 {c )-}
{txt} 89{com}.                                 
.                 if sign_u5m_m3s_`x' == 1 {c -(}      
{txt} 90{com}.                                 local sign_u5m_`x' = "\cellcolor[HTML]{c -(}9B9B9B{c )-}-"
{txt} 91{com}.                                 local est_u5m_`x' = "`est_u5m_`x''***"
{txt} 92{com}.                                 {c )-}
{txt} 93{com}.                         
.                 if sign_u5m_zero_`x' == 1 {c -(}
{txt} 94{com}.                         local sign_u5m_`x' = "0"
{txt} 95{com}.                         {c )-}
{txt} 96{com}.                         
.                 drop sign_*
{txt} 97{com}. 
.                 {c )-}
{res}
{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}       187
{txt}{col 49}F({res}  10{txt},{res}    161{txt}){col 67}= {res}      2.32
{txt}{col 49}Prob > F{col 67}= {res}    0.0140
{txt}{col 49}R-squared{col 67}= {res}    0.2090
{txt}{col 49}Adj R-squared{col 67}= {res}    0.0862
{txt}{col 49}Root MSE{col 67}= {res}    0.0524

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}e_mortrat~05{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2}-.0073114{col 26}{space 2} .0207409{col 37}{space 1}   -0.35{col 46}{space 3}0.725{col 54}{space 4}-.0482707{col 67}{space 3} .0336479
{txt}treatfu~m_hc {c |}{col 14}{res}{space 2}-.0065777{col 26}{space 2} .0230392{col 37}{space 1}   -0.29{col 46}{space 3}0.776{col 54}{space 4}-.0520756{col 67}{space 3} .0389202
{txt}b_h_u5mort~d {c |}{col 14}{res}{space 2}-.0379327{col 26}{space 2} .0183522{col 37}{space 1}   -2.07{col 46}{space 3}0.040{col 54}{space 4}-.0741749{col 67}{space 3}-.0016905
{txt}b_mortrat~05 {c |}{col 14}{res}{space 2} .1728455{col 26}{space 2} .0760092{col 37}{space 1}    2.27{col 46}{space 3}0.024{col 54}{space 4} .0227419{col 67}{space 3}  .322949
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2} .0315064{col 26}{space 2} .0489245{col 37}{space 1}    0.64{col 46}{space 3}0.521{col 54}{space 4}  -.06511{col 67}{space 3} .1281228
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2}-.0063847{col 26}{space 2} .0065514{col 37}{space 1}   -0.97{col 46}{space 3}0.331{col 54}{space 4}-.0193225{col 67}{space 3}  .006553
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2} .0151101{col 26}{space 2} .0191834{col 37}{space 1}    0.79{col 46}{space 3}0.432{col 54}{space 4}-.0227735{col 67}{space 3} .0529937
{txt}c_treatful.. {c |}{col 14}{res}{space 2}-.1715977{col 26}{space 2} .0865898{col 37}{space 1}   -1.98{col 46}{space 3}0.049{col 54}{space 4}-.3425959{col 67}{space 3}-.0005995
{txt}c_treatful.. {c |}{col 14}{res}{space 2}-.0045622{col 26}{space 2} .0077463{col 37}{space 1}   -0.59{col 46}{space 3}0.557{col 54}{space 4}-.0198596{col 67}{space 3} .0107353
{txt}c_treatful.. {c |}{col 14}{res}{space 2}-.0033311{col 26}{space 2}  .026213{col 37}{space 1}   -0.13{col 46}{space 3}0.899{col 54}{space 4}-.0550968{col 67}{space 3} .0484345
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} .0903039{col 26}{space 2} .0158553{col 37}{space 1}    5.70{col 46}{space 3}0.000{col 54}{space 4} .0589927{col 67}{space 3} .1216151
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull + treatfull_u5m_hc = 0{p_end}

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}e_mortrat~05{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}(1) {c |}{col 14}{res}{space 2}-.0138891{col 26}{space 2} .0088019{col 37}{space 1}   -1.58{col 46}{space 3}0.117{col 54}{space 4}-.0312712{col 67}{space 3} .0034931
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull + treatfull_u5m_hc = 0{p_end}

{txt}       F(  1,   161) ={res}    2.49
{txt}{col 13}Prob > F ={res}    0.1165

{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}       187
{txt}{col 49}F({res}  10{txt},{res}    161{txt}){col 67}= {res}      1.25
{txt}{col 49}Prob > F{col 67}= {res}    0.2629
{txt}{col 49}R-squared{col 67}= {res}    0.1073
{txt}{col 49}Adj R-squared{col 67}= {res}   -0.0313
{txt}{col 49}Root MSE{col 67}= {res}    0.6995

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}e_h_ctzpre_z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2} .3921459{col 26}{space 2} .2023449{col 37}{space 1}    1.94{col 46}{space 3}0.054{col 54}{space 4}-.0074465{col 67}{space 3} .7917383
{txt}treatfu~m_hc {c |}{col 14}{res}{space 2}-.6115816{col 26}{space 2}  .245694{col 37}{space 1}   -2.49{col 46}{space 3}0.014{col 54}{space 4} -1.09678{col 67}{space 3} -.126383
{txt}b_h_u5mort~d {c |}{col 14}{res}{space 2} .2471296{col 26}{space 2}  .230248{col 37}{space 1}    1.07{col 46}{space 3}0.285{col 54}{space 4}-.2075661{col 67}{space 3} .7018253
{txt}b_h_ctzpre_z {c |}{col 14}{res}{space 2} .0010538{col 26}{space 2} .0646237{col 37}{space 1}    0.02{col 46}{space 3}0.987{col 54}{space 4}-.1265656{col 67}{space 3} .1286732
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2}-.5947043{col 26}{space 2} .5494647{col 37}{space 1}   -1.08{col 46}{space 3}0.281{col 54}{space 4}-1.679792{col 67}{space 3} .4903831
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2}-.0005098{col 26}{space 2} .0870301{col 37}{space 1}   -0.01{col 46}{space 3}0.995{col 54}{space 4}-.1723775{col 67}{space 3} .1713578
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2}-.2114001{col 26}{space 2} .2314314{col 37}{space 1}   -0.91{col 46}{space 3}0.362{col 54}{space 4}-.6684327{col 67}{space 3} .2456324
{txt}c_treatful.. {c |}{col 14}{res}{space 2} 1.175165{col 26}{space 2} 1.063552{col 37}{space 1}    1.10{col 46}{space 3}0.271{col 54}{space 4}-.9251466{col 67}{space 3} 3.275478
{txt}c_treatful.. {c |}{col 14}{res}{space 2} .0596402{col 26}{space 2} .1080815{col 37}{space 1}    0.55{col 46}{space 3}0.582{col 54}{space 4}   -.1538{col 67}{space 3} .2730803
{txt}c_treatful.. {c |}{col 14}{res}{space 2} .2011674{col 26}{space 2} .2555719{col 37}{space 1}    0.79{col 46}{space 3}0.432{col 54}{space 4}-.3035381{col 67}{space 3} .7058729
{txt}{space 7}_cons {c |}{col 14}{res}{space 2}-.2040412{col 26}{space 2} .2031497{col 37}{space 1}   -1.00{col 46}{space 3}0.317{col 54}{space 4}-.6052228{col 67}{space 3} .1971405
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull + treatfull_u5m_hc = 0{p_end}

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}e_h_ctzpre_z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}(1) {c |}{col 14}{res}{space 2}-.2194356{col 26}{space 2} .1211847{col 37}{space 1}   -1.81{col 46}{space 3}0.072{col 54}{space 4}-.4587522{col 67}{space 3} .0198809
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull + treatfull_u5m_hc = 0{p_end}

{txt}       F(  1,   161) ={res}    3.28
{txt}{col 13}Prob > F ={res}    0.0720
{txt}
{com}.                 
.         **************************
.         * Household and HC level *
.         **************************
.         
.         use "${c -(}usedata{c )-}/chp_el_light_dataset.dta", clear
{txt}
{com}.         
.         ren e_h_ctzpressure_z e_h_ctzpre_z
{res}{txt}
{com}.         ren b_h_ctzpressure_z b_h_ctzpre_z
{res}{txt}
{com}.         
.         ren b_h_ctzpressure_z_d b_h_ctzpre_z_d
{res}{txt}
{com}.         
.         
.         * We merge the different indices
.         
.         merge m:1 hc_id using "`bu5m'"
{res}
{txt}{col 5}Result{col 38}# of obs.
{col 5}{hline 41}
{col 5}not matched{col 30}{res}               0
{txt}{col 5}matched{col 30}{res}          15,295{txt}  (_merge==3)
{col 5}{hline 41}

{com}.         
.         * We will create the interaction terms
.         
.         foreach var in u5_p2p {c -(}
{txt}  2{com}.         
.                 gen treatfull_`var' = treatfull * `var'
{txt}  3{com}.                 la var treatfull_`var' "treatfull * `var'"
{txt}  4{com}.                 
.                 {c )-}
{txt}(7,677 missing values generated)

{com}.                 
.         
.         * We now run the subgroup analysis for the P2P 1 SD components
.         
.         * Subgroup Effects: Baseline U5M 1 SD P2P
.         
.         foreach x in `indices' {c -(}
{txt}  2{com}.                 areg e_`x' treatfull treatfull_u5_p2p u5_p2p b_`x' b_`x'_d `e_controls_tfull' `treatfull_int_e_controls', robust cl(hc_id) a(district)
{txt}  3{com}.                 eststo e_`x'_u5mp2p
{txt}  4{com}.                 local n_u5mp2p_`x' = string(e(N),"%9.0fc")
{txt}  5{com}.                 local r2_u5mp2p_`x' = string(e(r2),"%9.3fc")
{txt}  6{com}.                 
.                 lincom treatfull + treatfull_u5_p2p
{txt}  7{com}.                 local est_u5mp2p_`x' = r(estimate)
{txt}  8{com}.                 local se_u5mp2p_`x' = r(se)
{txt}  9{com}.                 test treatfull + treatfull_u5_p2p = 0
{txt} 10{com}.                 local p_u5mp2p_`x' = r(p)
{txt} 11{com}.                 
.                 local est_bu5mp2p_`x' = string(_b[treatfull],"%9.3fc")
{txt} 12{com}.                 local se_bu5mp2p_`x' = string(_se[treatfull],"%9.3fc")
{txt} 13{com}.                 local p_bu5mp2p_`x' = (2 * ttail(e(df_r), abs(_b[treatfull]/_se[treatfull])))
{txt} 14{com}.                 
.                 local est_tmxu5mp2p_`x' = string(_b[treatfull_u5_p2p],"%9.3fc")
{txt} 15{com}.                 local se_tmxu5mp2p_`x' = string(_se[treatfull_u5_p2p],"%9.3fc")
{txt} 16{com}.                 local p_tmxu5mp2p_`x' = (2 * ttail(e(df_r), abs(_b[treatfull_u5_p2p]/_se[treatfull_u5_p2p])))
{txt} 17{com}.                 
.                 local est_smu5mp2p_`x' = string(_b[u5_p2p],"%9.3fc")
{txt} 18{com}.                 local se_smu5mp2p_`x' = string(_se[u5_p2p],"%9.3fc")
{txt} 19{com}.                 local p_smu5mp2p_`x' = (2 * ttail(e(df_r), abs(_b[u5_p2p]/_se[u5_p2p])))
{txt} 20{com}.                 
.                 local est_cu5mp2p_`x' = string(_b[_cons],"%9.3fc")
{txt} 21{com}.                 local se_cu5mp2p_`x' = string(_se[_cons],"%9.3fc")
{txt} 22{com}.                 local p_cu5mp2p_`x' = (2 * ttail(e(df_r), abs(_b[_cons]/_se[_cons])))
{txt} 23{com}.                 
.                 foreach var in bu5mp2p tmxu5mp2p smu5mp2p cu5mp2p {c -(}
{txt} 24{com}.                 
.                         gen sign_`var'_zero_`x' = (`p_`var'_`x''>0.1)
{txt} 25{com}.                         gen sign_`var'_p1s_`x' = (`p_`var'_`x''<=0.1 & `p_`var'_`x''>0.05 & `est_`var'_`x''>0)
{txt} 26{com}.                         gen sign_`var'_p2s_`x' = (`p_`var'_`x''<=0.05 & `p_`var'_`x''>0.01 & `est_`var'_`x''>0)
{txt} 27{com}.                         gen sign_`var'_p3s_`x' = (`p_`var'_`x''<=0.01 & `p_`var'_`x''>=0 & `est_`var'_`x''>0)
{txt} 28{com}.                         gen sign_`var'_m1s_`x' = (`p_`var'_`x''<=0.1 & `p_`var'_`x''>0.05 & `est_`var'_`x''<0)
{txt} 29{com}.                         gen sign_`var'_m2s_`x' = (`p_`var'_`x''<=0.05 & `p_`var'_`x''>0.01 & `est_`var'_`x''<0)
{txt} 30{com}.                         gen sign_`var'_m3s_`x' = (`p_`var'_`x''<=0.01 & `p_`var'_`x''>=0 & `est_`var'_`x''<0)
{txt} 31{com}.                         
.                         if sign_`var'_p1s_`x' == 1 {c -(}
{txt} 32{com}.                                         local sign_`var'_`x' = "\cellcolor[HTML]{c -(}EFEFEF{c )-}+"
{txt} 33{com}.                                         local est_`var'_`x' = "`est_`var'_`x''*"
{txt} 34{com}.                                         {c )-}
{txt} 35{com}.                                         
.                         if sign_`var'_p2s_`x' == 1 {c -(}    
{txt} 36{com}.                                         local sign_`var'_`x' = "\cellcolor[HTML]{c -(}C0C0C0{c )-}+"
{txt} 37{com}.                                         local est_`var'_`x' = "`est_`var'_`x''**"
{txt} 38{com}.                                         {c )-}
{txt} 39{com}.                                         
.                         if sign_`var'_p3s_`x' == 1 {c -(}    
{txt} 40{com}.                                         local sign_`var'_`x' = "\cellcolor[HTML]{c -(}9B9B9B{c )-}+"
{txt} 41{com}.                                         local est_`var'_`x' = "`est_`var'_`x''***"
{txt} 42{com}.                                         {c )-}
{txt} 43{com}.                                 
.                         if sign_`var'_m1s_`x' == 1 {c -(}
{txt} 44{com}.                                         local sign_`var'_`x' = "\cellcolor[HTML]{c -(}EFEFEF{c )-}-"
{txt} 45{com}.                                         local est_`var'_`x' = "`est_`var'_`x''*"
{txt} 46{com}.                                         {c )-}
{txt} 47{com}.                                         
.                         if sign_`var'_m2s_`x' == 1 {c -(}    
{txt} 48{com}.                                         local sign_`var'_`x' = "\cellcolor[HTML]{c -(}C0C0C0{c )-}-"
{txt} 49{com}.                                         local est_`var'_`x' = "`est_`var'_`x''**"
{txt} 50{com}.                                         {c )-}
{txt} 51{com}.                                         
.                         if sign_`var'_m3s_`x' == 1 {c -(}    
{txt} 52{com}.                                         local sign_`var'_`x' = "\cellcolor[HTML]{c -(}9B9B9B{c )-}-"
{txt} 53{com}.                                         local est_`var'_`x' = "`est_`var'_`x''***"
{txt} 54{com}.                                         {c )-}
{txt} 55{com}.                                 
.                         if sign_`var'_zero_`x' == 1 {c -(}
{txt} 56{com}.                                 local sign_`var'_`x' = "0"
{txt} 57{com}.                                 {c )-}
{txt} 58{com}.                                 
.                         {c )-}
{txt} 59{com}.                         
.                 gen sign_u5mp2p_zero_`x' = (`p_u5mp2p_`x''>0.1)
{txt} 60{com}.                 gen sign_u5mp2p_p1s_`x' = (`p_u5mp2p_`x''<=0.1 & `p_u5mp2p_`x''>0.05 & `est_u5mp2p_`x''>0)
{txt} 61{com}.                 gen sign_u5mp2p_p2s_`x' = (`p_u5mp2p_`x''<=0.05 & `p_u5mp2p_`x''>0.01 & `est_u5mp2p_`x''>0)
{txt} 62{com}.                 gen sign_u5mp2p_p3s_`x' = (`p_u5mp2p_`x''<=0.01 & `p_u5mp2p_`x''>=0 & `est_u5mp2p_`x''>0)
{txt} 63{com}.                 gen sign_u5mp2p_m1s_`x' = (`p_u5mp2p_`x''<=0.1 & `p_u5mp2p_`x''>0.05 & `est_u5mp2p_`x''<0)
{txt} 64{com}.                 gen sign_u5mp2p_m2s_`x' = (`p_u5mp2p_`x''<=0.05 & `p_u5mp2p_`x''>0.01 & `est_u5mp2p_`x''<0)
{txt} 65{com}.                 gen sign_u5mp2p_m3s_`x' = (`p_u5mp2p_`x''<=0.01 & `p_u5mp2p_`x''>=0 & `est_u5mp2p_`x''<0)
{txt} 66{com}.                 
.                 local p_u5mp2p_`x' = string(`p_u5mp2p_`x'',"%9.3fc")
{txt} 67{com}.                 local est_u5mp2p_`x' = string(`est_u5mp2p_`x'',"%9.3fc")
{txt} 68{com}.                 local se_u5mp2p_`x' = string(`se_u5mp2p_`x'',"%9.3fc")
{txt} 69{com}.                 
.                 if sign_u5mp2p_p1s_`x' == 1 {c -(}
{txt} 70{com}.                                 local sign_u5mp2p_`x' = "\cellcolor[HTML]{c -(}EFEFEF{c )-}+"
{txt} 71{com}.                                 local est_u5mp2p_`x' = "`est_u5mp2p_`x''*"
{txt} 72{com}.                                 {c )-}
{txt} 73{com}.                                 
.                 if sign_u5mp2p_p2s_`x' == 1 {c -(}   
{txt} 74{com}.                                 local sign_u5mp2p_`x' = "\cellcolor[HTML]{c -(}C0C0C0{c )-}+"
{txt} 75{com}.                                 local est_u5mp2p_`x' = "`est_u5mp2p_`x''**"
{txt} 76{com}.                                 {c )-}
{txt} 77{com}.                                 
.                 if sign_u5mp2p_p3s_`x' == 1 {c -(}   
{txt} 78{com}.                                 local sign_u5mp2p_`x' = "\cellcolor[HTML]{c -(}9B9B9B{c )-}+"
{txt} 79{com}.                                 local est_u5mp2p_`x' = "`est_u5mp2p_`x''***"
{txt} 80{com}.                                 {c )-}
{txt} 81{com}.                         
.                 if sign_u5mp2p_m1s_`x' == 1 {c -(}
{txt} 82{com}.                                 local sign_u5mp2p_`x' = "\cellcolor[HTML]{c -(}EFEFEF{c )-}-"
{txt} 83{com}.                                 local est_u5mp2p_`x' = "`est_u5mp2p_`x''*"
{txt} 84{com}.                                 {c )-}
{txt} 85{com}.                                 
.                 if sign_u5mp2p_m2s_`x' == 1 {c -(}   
{txt} 86{com}.                                 local sign_u5mp2p_`x' = "\cellcolor[HTML]{c -(}C0C0C0{c )-}-"
{txt} 87{com}.                                 local est_u5mp2p_`x' = "`est_u5mp2p_`x''**"
{txt} 88{com}.                                 {c )-}
{txt} 89{com}.                                 
.                 if sign_u5mp2p_m3s_`x' == 1 {c -(}   
{txt} 90{com}.                                 local sign_u5mp2p_`x' = "\cellcolor[HTML]{c -(}9B9B9B{c )-}-"
{txt} 91{com}.                                 local est_u5mp2p_`x' = "`est_u5mp2p_`x''***"
{txt} 92{com}.                                 {c )-}
{txt} 93{com}.                         
.                 if sign_u5mp2p_zero_`x' == 1 {c -(}
{txt} 94{com}.                         local sign_u5mp2p_`x' = "0"
{txt} 95{com}.                         {c )-}
{txt} 96{com}.                         
.                 drop sign_*
{txt} 97{com}. 
.                 {c )-}
{txt}note: b_urate_z_d omitted because of collinearity
{res}
{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}     7,288
{txt}{col 49}F({res}  10{txt},{res}    186{txt}){col 67}= {res}     80.16
{txt}{col 49}Prob > F{col 67}= {res}    0.0000
{txt}{col 49}R-squared{col 67}= {res}    0.2300
{txt}{col 49}Adj R-squared{col 67}= {res}    0.2273
{txt}{col 49}Root MSE{col 67}= {res}    0.6613

{txt}{ralign 78:(Std. Err. adjusted for {res:187} clusters in hc_id)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}   e_urate_z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2} .0215318{col 26}{space 2} .0282919{col 37}{space 1}    0.76{col 46}{space 3}0.448{col 54}{space 4}-.0342824{col 67}{space 3}  .077346
{txt}treatfull~2p {c |}{col 14}{res}{space 2} .0176002{col 26}{space 2} .0462511{col 37}{space 1}    0.38{col 46}{space 3}0.704{col 54}{space 4}-.0736439{col 67}{space 3} .1088444
{txt}{space 6}u5_p2p {c |}{col 14}{res}{space 2}-.0172101{col 26}{space 2} .0347182{col 37}{space 1}   -0.50{col 46}{space 3}0.621{col 54}{space 4}-.0857021{col 67}{space 3} .0512819
{txt}{space 3}b_urate_z {c |}{col 14}{res}{space 2} .3554649{col 26}{space 2} .0145072{col 37}{space 1}   24.50{col 46}{space 3}0.000{col 54}{space 4} .3268451{col 67}{space 3} .3840846
{txt}{space 1}b_urate_z_d {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
c_tfull_b_~d {c |}{col 14}{res}{space 2} .1637944{col 26}{space 2} .0572403{col 37}{space 1}    2.86{col 46}{space 3}0.005{col 54}{space 4} .0508708{col 67}{space 3} .2767181
{txt}c_tfull_ed~r {c |}{col 14}{res}{space 2}-.0126395{col 26}{space 2} .0028461{col 37}{space 1}   -4.44{col 46}{space 3}0.000{col 54}{space 4}-.0182542{col 67}{space 3}-.0070248
{txt}c_tfull_b_~x {c |}{col 14}{res}{space 2}-.0409925{col 26}{space 2} .0130407{col 37}{space 1}   -3.14{col 46}{space 3}0.002{col 54}{space 4}-.0667193{col 67}{space 3}-.0152658
{txt}c_treatful.. {c |}{col 14}{res}{space 2}-.0333228{col 26}{space 2} .0802139{col 37}{space 1}   -0.42{col 46}{space 3}0.678{col 54}{space 4}-.1915687{col 67}{space 3} .1249231
{txt}c_treatful.. {c |}{col 14}{res}{space 2} .0025173{col 26}{space 2} .0041534{col 37}{space 1}    0.61{col 46}{space 3}0.545{col 54}{space 4}-.0056766{col 67}{space 3} .0107111
{txt}c_treatful.. {c |}{col 14}{res}{space 2}-.0095273{col 26}{space 2} .0189506{col 37}{space 1}   -0.50{col 46}{space 3}0.616{col 54}{space 4}-.0469131{col 67}{space 3} .0278585
{txt}{space 7}_cons {c |}{col 14}{res}{space 2}-.0138701{col 26}{space 2} .0184279{col 37}{space 1}   -0.75{col 46}{space 3}0.453{col 54}{space 4}-.0502246{col 67}{space 3} .0224844
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull + treatfull_u5_p2p = 0{p_end}

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}   e_urate_z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}(1) {c |}{col 14}{res}{space 2}  .039132{col 26}{space 2} .0357857{col 37}{space 1}    1.09{col 46}{space 3}0.276{col 54}{space 4}-.0314659{col 67}{space 3}   .10973
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull + treatfull_u5_p2p = 0{p_end}

{txt}       F(  1,   186) ={res}    1.20
{txt}{col 13}Prob > F ={res}    0.2756
{txt}note: b_treatqual_z_d omitted because of collinearity
{res}
{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}     7,288
{txt}{col 49}F({res}  10{txt},{res}    186{txt}){col 67}= {res}      5.40
{txt}{col 49}Prob > F{col 67}= {res}    0.0000
{txt}{col 49}R-squared{col 67}= {res}    0.0941
{txt}{col 49}Adj R-squared{col 67}= {res}    0.0909
{txt}{col 49}Root MSE{col 67}= {res}    0.3529

{txt}{ralign 78:(Std. Err. adjusted for {res:187} clusters in hc_id)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}e_treatq~l_z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2} .0964877{col 26}{space 2} .0324836{col 37}{space 1}    2.97{col 46}{space 3}0.003{col 54}{space 4} .0324041{col 67}{space 3} .1605713
{txt}treatfull~2p {c |}{col 14}{res}{space 2}-.0759571{col 26}{space 2}   .05379{col 37}{space 1}   -1.41{col 46}{space 3}0.160{col 54}{space 4}-.1820741{col 67}{space 3} .0301599
{txt}{space 6}u5_p2p {c |}{col 14}{res}{space 2} .0460367{col 26}{space 2} .0423795{col 37}{space 1}    1.09{col 46}{space 3}0.279{col 54}{space 4}-.0375697{col 67}{space 3}  .129643
{txt}b_treatq~l_z {c |}{col 14}{res}{space 2} .1050682{col 26}{space 2}  .020309{col 37}{space 1}    5.17{col 46}{space 3}0.000{col 54}{space 4} .0650027{col 67}{space 3} .1451338
{txt}b_trea~l_z_d {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
c_tfull_b_~d {c |}{col 14}{res}{space 2} .0096155{col 26}{space 2} .0232105{col 37}{space 1}    0.41{col 46}{space 3}0.679{col 54}{space 4}-.0361741{col 67}{space 3} .0554051
{txt}c_tfull_ed~r {c |}{col 14}{res}{space 2}-.0023164{col 26}{space 2} .0016742{col 37}{space 1}   -1.38{col 46}{space 3}0.168{col 54}{space 4}-.0056192{col 67}{space 3} .0009865
{txt}c_tfull_b_~x {c |}{col 14}{res}{space 2} .0013615{col 26}{space 2} .0093669{col 37}{space 1}    0.15{col 46}{space 3}0.885{col 54}{space 4}-.0171176{col 67}{space 3} .0198405
{txt}c_treatful.. {c |}{col 14}{res}{space 2} .0482813{col 26}{space 2} .0323744{col 37}{space 1}    1.49{col 46}{space 3}0.138{col 54}{space 4} -.015587{col 67}{space 3} .1121496
{txt}c_treatful.. {c |}{col 14}{res}{space 2} .0023285{col 26}{space 2} .0022878{col 37}{space 1}    1.02{col 46}{space 3}0.310{col 54}{space 4} -.002185{col 67}{space 3} .0068419
{txt}c_treatful.. {c |}{col 14}{res}{space 2}-.0211957{col 26}{space 2}  .014485{col 37}{space 1}   -1.46{col 46}{space 3}0.145{col 54}{space 4}-.0497718{col 67}{space 3} .0073803
{txt}{space 7}_cons {c |}{col 14}{res}{space 2}-.0157138{col 26}{space 2} .0245457{col 37}{space 1}   -0.64{col 46}{space 3}0.523{col 54}{space 4}-.0641376{col 67}{space 3}   .03271
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull + treatfull_u5_p2p = 0{p_end}

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}e_treatq~l_z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}(1) {c |}{col 14}{res}{space 2} .0205306{col 26}{space 2} .0438152{col 37}{space 1}    0.47{col 46}{space 3}0.640{col 54}{space 4} -.065908{col 67}{space 3} .1069692
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull + treatfull_u5_p2p = 0{p_end}

{txt}       F(  1,   186) ={res}    0.22
{txt}{col 13}Prob > F ={res}    0.6399
{txt}note: b_patsat_z_d omitted because of collinearity
{res}
{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}     7,288
{txt}{col 49}F({res}  10{txt},{res}    186{txt}){col 67}= {res}     11.22
{txt}{col 49}Prob > F{col 67}= {res}    0.0000
{txt}{col 49}R-squared{col 67}= {res}    0.0374
{txt}{col 49}Adj R-squared{col 67}= {res}    0.0341
{txt}{col 49}Root MSE{col 67}= {res}    0.5876

{txt}{ralign 78:(Std. Err. adjusted for {res:187} clusters in hc_id)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}  e_patsat_z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2} .0626011{col 26}{space 2} .0326149{col 37}{space 1}    1.92{col 46}{space 3}0.056{col 54}{space 4}-.0017416{col 67}{space 3} .1269438
{txt}treatfull~2p {c |}{col 14}{res}{space 2} .0359725{col 26}{space 2} .0529369{col 37}{space 1}    0.68{col 46}{space 3}0.498{col 54}{space 4}-.0684615{col 67}{space 3} .1404065
{txt}{space 6}u5_p2p {c |}{col 14}{res}{space 2}-.0210082{col 26}{space 2} .0409058{col 37}{space 1}   -0.51{col 46}{space 3}0.608{col 54}{space 4}-.1017072{col 67}{space 3} .0596909
{txt}{space 2}b_patsat_z {c |}{col 14}{res}{space 2} .1398308{col 26}{space 2} .0152209{col 37}{space 1}    9.19{col 46}{space 3}0.000{col 54}{space 4}  .109803{col 67}{space 3} .1698586
{txt}b_patsat_z_d {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
c_tfull_b_~d {c |}{col 14}{res}{space 2} .0083172{col 26}{space 2} .0419981{col 37}{space 1}    0.20{col 46}{space 3}0.843{col 54}{space 4}-.0745367{col 67}{space 3} .0911711
{txt}c_tfull_ed~r {c |}{col 14}{res}{space 2} .0024967{col 26}{space 2} .0027042{col 37}{space 1}    0.92{col 46}{space 3}0.357{col 54}{space 4}-.0028382{col 67}{space 3} .0078316
{txt}c_tfull_b_~x {c |}{col 14}{res}{space 2} .0089352{col 26}{space 2} .0103346{col 37}{space 1}    0.86{col 46}{space 3}0.388{col 54}{space 4}-.0114529{col 67}{space 3} .0293232
{txt}c_treatful.. {c |}{col 14}{res}{space 2}-.0286603{col 26}{space 2} .0515595{col 37}{space 1}   -0.56{col 46}{space 3}0.579{col 54}{space 4}-.1303768{col 67}{space 3} .0730562
{txt}c_treatful.. {c |}{col 14}{res}{space 2}  .002313{col 26}{space 2} .0036378{col 37}{space 1}    0.64{col 46}{space 3}0.526{col 54}{space 4}-.0048635{col 67}{space 3} .0094896
{txt}c_treatful.. {c |}{col 14}{res}{space 2}-.0142811{col 26}{space 2} .0146876{col 37}{space 1}   -0.97{col 46}{space 3}0.332{col 54}{space 4}-.0432568{col 67}{space 3} .0146945
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} .0061416{col 26}{space 2} .0253975{col 37}{space 1}    0.24{col 46}{space 3}0.809{col 54}{space 4}-.0439625{col 67}{space 3} .0562458
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull + treatfull_u5_p2p = 0{p_end}

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}  e_patsat_z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}(1) {c |}{col 14}{res}{space 2} .0985736{col 26}{space 2} .0396589{col 37}{space 1}    2.49{col 46}{space 3}0.014{col 54}{space 4} .0203346{col 67}{space 3} .1768126
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull + treatfull_u5_p2p = 0{p_end}

{txt}       F(  1,   186) ={res}    6.18
{txt}{col 13}Prob > F ={res}    0.0138
{txt}note: b_commtg_z_d omitted because of collinearity
{res}
{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}     7,288
{txt}{col 49}F({res}  10{txt},{res}    186{txt}){col 67}= {res}      8.40
{txt}{col 49}Prob > F{col 67}= {res}    0.0000
{txt}{col 49}R-squared{col 67}= {res}    0.0936
{txt}{col 49}Adj R-squared{col 67}= {res}    0.0905
{txt}{col 49}Root MSE{col 67}= {res}    0.5597

{txt}{ralign 78:(Std. Err. adjusted for {res:187} clusters in hc_id)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}  e_commtg_z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2}-.0439229{col 26}{space 2} .0339775{col 37}{space 1}   -1.29{col 46}{space 3}0.198{col 54}{space 4}-.1109537{col 67}{space 3} .0231078
{txt}treatfull~2p {c |}{col 14}{res}{space 2} .1401788{col 26}{space 2} .0633604{col 37}{space 1}    2.21{col 46}{space 3}0.028{col 54}{space 4} .0151814{col 67}{space 3} .2651761
{txt}{space 6}u5_p2p {c |}{col 14}{res}{space 2} -.075306{col 26}{space 2} .0438608{col 37}{space 1}   -1.72{col 46}{space 3}0.088{col 54}{space 4}-.1618345{col 67}{space 3} .0112226
{txt}{space 2}b_commtg_z {c |}{col 14}{res}{space 2} .0821139{col 26}{space 2} .0133056{col 37}{space 1}    6.17{col 46}{space 3}0.000{col 54}{space 4} .0558645{col 67}{space 3} .1083632
{txt}b_commtg_z_d {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
c_tfull_b_~d {c |}{col 14}{res}{space 2} .0439992{col 26}{space 2} .0464728{col 37}{space 1}    0.95{col 46}{space 3}0.345{col 54}{space 4}-.0476823{col 67}{space 3} .1356807
{txt}c_tfull_ed~r {c |}{col 14}{res}{space 2}  .003275{col 26}{space 2} .0023958{col 37}{space 1}    1.37{col 46}{space 3}0.173{col 54}{space 4}-.0014514{col 67}{space 3} .0080015
{txt}c_tfull_b_~x {c |}{col 14}{res}{space 2} .0258578{col 26}{space 2} .0119833{col 37}{space 1}    2.16{col 46}{space 3}0.032{col 54}{space 4}  .002217{col 67}{space 3} .0494985
{txt}c_treatful.. {c |}{col 14}{res}{space 2} .1005078{col 26}{space 2} .0631101{col 37}{space 1}    1.59{col 46}{space 3}0.113{col 54}{space 4}-.0239958{col 67}{space 3} .2250114
{txt}c_treatful.. {c |}{col 14}{res}{space 2} .0009796{col 26}{space 2} .0034779{col 37}{space 1}    0.28{col 46}{space 3}0.779{col 54}{space 4}-.0058815{col 67}{space 3} .0078407
{txt}c_treatful.. {c |}{col 14}{res}{space 2}-.0059284{col 26}{space 2} .0191709{col 37}{space 1}   -0.31{col 46}{space 3}0.757{col 54}{space 4}-.0437487{col 67}{space 3}  .031892
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} .0297852{col 26}{space 2} .0232268{col 37}{space 1}    1.28{col 46}{space 3}0.201{col 54}{space 4}-.0160366{col 67}{space 3}  .075607
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull + treatfull_u5_p2p = 0{p_end}

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}  e_commtg_z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}(1) {c |}{col 14}{res}{space 2} .0962558{col 26}{space 2} .0518681{col 37}{space 1}    1.86{col 46}{space 3}0.065{col 54}{space 4}-.0060696{col 67}{space 3} .1985813
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull + treatfull_u5_p2p = 0{p_end}

{txt}       F(  1,   186) ={res}    3.44
{txt}{col 13}Prob > F ={res}    0.0651
{txt}
{com}.         
.         foreach x in `indices_hc' {c -(}
{txt}  2{com}.                 areg e_`x' treatfull treatfull_u5_p2p u5_p2p b_`x' `e_controls_tfull_hc' `treatfull_hc_int_e_controls' if uniquehc == 1, robust a(district)
{txt}  3{com}.                 eststo e_`x'_u5mp2p
{txt}  4{com}.                 local n_u5mp2p_`x' = string(e(N),"%9.0fc")
{txt}  5{com}.                 local r2_u5mp2p_`x' = string(e(r2),"%9.3fc")
{txt}  6{com}.                 
.                 lincom treatfull + treatfull_u5_p2p
{txt}  7{com}.                 local est_u5mp2p_`x' = r(estimate)
{txt}  8{com}.                 local se_u5mp2p_`x' = r(se)
{txt}  9{com}.                 test treatfull + treatfull_u5_p2p = 0
{txt} 10{com}.                 local p_u5mp2p_`x' = r(p)
{txt} 11{com}.                 
.                 local est_bu5mp2p_`x' = string(_b[treatfull],"%9.3fc")
{txt} 12{com}.                 local se_bu5mp2p_`x' = string(_se[treatfull],"%9.3fc")
{txt} 13{com}.                 local p_bu5mp2p_`x' = (2 * ttail(e(df_r), abs(_b[treatfull]/_se[treatfull])))
{txt} 14{com}.                 
.                 local est_tmxu5mp2p_`x' = string(_b[treatfull_u5_p2p],"%9.3fc")
{txt} 15{com}.                 local se_tmxu5mp2p_`x' = string(_se[treatfull_u5_p2p],"%9.3fc")
{txt} 16{com}.                 local p_tmxu5mp2p_`x' = (2 * ttail(e(df_r), abs(_b[treatfull_u5_p2p]/_se[treatfull_u5_p2p])))
{txt} 17{com}.                 
.                 local est_smu5mp2p_`x' = string(_b[u5_p2p],"%9.3fc")
{txt} 18{com}.                 local se_smu5mp2p_`x' = string(_se[u5_p2p],"%9.3fc")
{txt} 19{com}.                 local p_smu5mp2p_`x' = (2 * ttail(e(df_r), abs(_b[u5_p2p]/_se[u5_p2p])))
{txt} 20{com}.                 
.                 local est_cu5mp2p_`x' = string(_b[_cons],"%9.3fc")
{txt} 21{com}.                 local se_cu5mp2p_`x' = string(_se[_cons],"%9.3fc")
{txt} 22{com}.                 local p_cu5mp2p_`x' = (2 * ttail(e(df_r), abs(_b[_cons]/_se[_cons])))
{txt} 23{com}.                 
.                 foreach var in bu5mp2p tmxu5mp2p smu5mp2p cu5mp2p {c -(}
{txt} 24{com}.                 
.                         gen sign_`var'_zero_`x' = (`p_`var'_`x''>0.1)
{txt} 25{com}.                         gen sign_`var'_p1s_`x' = (`p_`var'_`x''<=0.1 & `p_`var'_`x''>0.05 & `est_`var'_`x''>0)
{txt} 26{com}.                         gen sign_`var'_p2s_`x' = (`p_`var'_`x''<=0.05 & `p_`var'_`x''>0.01 & `est_`var'_`x''>0)
{txt} 27{com}.                         gen sign_`var'_p3s_`x' = (`p_`var'_`x''<=0.01 & `p_`var'_`x''>=0 & `est_`var'_`x''>0)
{txt} 28{com}.                         gen sign_`var'_m1s_`x' = (`p_`var'_`x''<=0.1 & `p_`var'_`x''>0.05 & `est_`var'_`x''<0)
{txt} 29{com}.                         gen sign_`var'_m2s_`x' = (`p_`var'_`x''<=0.05 & `p_`var'_`x''>0.01 & `est_`var'_`x''<0)
{txt} 30{com}.                         gen sign_`var'_m3s_`x' = (`p_`var'_`x''<=0.01 & `p_`var'_`x''>=0 & `est_`var'_`x''<0)
{txt} 31{com}.                         
.                         if sign_`var'_p1s_`x' == 1 {c -(}
{txt} 32{com}.                                         local sign_`var'_`x' = "\cellcolor[HTML]{c -(}EFEFEF{c )-}+"
{txt} 33{com}.                                         local est_`var'_`x' = "`est_`var'_`x''*"
{txt} 34{com}.                                         {c )-}
{txt} 35{com}.                                         
.                         if sign_`var'_p2s_`x' == 1 {c -(}    
{txt} 36{com}.                                         local sign_`var'_`x' = "\cellcolor[HTML]{c -(}C0C0C0{c )-}+"
{txt} 37{com}.                                         local est_`var'_`x' = "`est_`var'_`x''**"
{txt} 38{com}.                                         {c )-}
{txt} 39{com}.                                         
.                         if sign_`var'_p3s_`x' == 1 {c -(}    
{txt} 40{com}.                                         local sign_`var'_`x' = "\cellcolor[HTML]{c -(}9B9B9B{c )-}+"
{txt} 41{com}.                                         local est_`var'_`x' = "`est_`var'_`x''***"
{txt} 42{com}.                                         {c )-}
{txt} 43{com}.                                 
.                         if sign_`var'_m1s_`x' == 1 {c -(}
{txt} 44{com}.                                         local sign_`var'_`x' = "\cellcolor[HTML]{c -(}EFEFEF{c )-}-"
{txt} 45{com}.                                         local est_`var'_`x' = "`est_`var'_`x''*"
{txt} 46{com}.                                         {c )-}
{txt} 47{com}.                                         
.                         if sign_`var'_m2s_`x' == 1 {c -(}    
{txt} 48{com}.                                         local sign_`var'_`x' = "\cellcolor[HTML]{c -(}C0C0C0{c )-}-"
{txt} 49{com}.                                         local est_`var'_`x' = "`est_`var'_`x''**"
{txt} 50{com}.                                         {c )-}
{txt} 51{com}.                                         
.                         if sign_`var'_m3s_`x' == 1 {c -(}    
{txt} 52{com}.                                         local sign_`var'_`x' = "\cellcolor[HTML]{c -(}9B9B9B{c )-}-"
{txt} 53{com}.                                         local est_`var'_`x' = "`est_`var'_`x''***"
{txt} 54{com}.                                         {c )-}
{txt} 55{com}.                                 
.                         if sign_`var'_zero_`x' == 1 {c -(}
{txt} 56{com}.                                 local sign_`var'_`x' = "0"
{txt} 57{com}.                                 {c )-}
{txt} 58{com}.                                 
.                         {c )-}
{txt} 59{com}.                         
.                 gen sign_u5mp2p_zero_`x' = (`p_u5mp2p_`x''>0.1)
{txt} 60{com}.                 gen sign_u5mp2p_p1s_`x' = (`p_u5mp2p_`x''<=0.1 & `p_u5mp2p_`x''>0.05 & `est_u5mp2p_`x''>0)
{txt} 61{com}.                 gen sign_u5mp2p_p2s_`x' = (`p_u5mp2p_`x''<=0.05 & `p_u5mp2p_`x''>0.01 & `est_u5mp2p_`x''>0)
{txt} 62{com}.                 gen sign_u5mp2p_p3s_`x' = (`p_u5mp2p_`x''<=0.01 & `p_u5mp2p_`x''>=0 & `est_u5mp2p_`x''>0)
{txt} 63{com}.                 gen sign_u5mp2p_m1s_`x' = (`p_u5mp2p_`x''<=0.1 & `p_u5mp2p_`x''>0.05 & `est_u5mp2p_`x''<0)
{txt} 64{com}.                 gen sign_u5mp2p_m2s_`x' = (`p_u5mp2p_`x''<=0.05 & `p_u5mp2p_`x''>0.01 & `est_u5mp2p_`x''<0)
{txt} 65{com}.                 gen sign_u5mp2p_m3s_`x' = (`p_u5mp2p_`x''<=0.01 & `p_u5mp2p_`x''>=0 & `est_u5mp2p_`x''<0)
{txt} 66{com}.                 
.                 local p_u5mp2p_`x' = string(`p_u5mp2p_`x'',"%9.3fc")
{txt} 67{com}.                 local est_u5mp2p_`x' = string(`est_u5mp2p_`x'',"%9.3fc")
{txt} 68{com}.                 local se_u5mp2p_`x' = string(`se_u5mp2p_`x'',"%9.3fc")
{txt} 69{com}.                 
.                 if sign_u5mp2p_p1s_`x' == 1 {c -(}
{txt} 70{com}.                                 local sign_u5mp2p_`x' = "\cellcolor[HTML]{c -(}EFEFEF{c )-}+"
{txt} 71{com}.                                 local est_u5mp2p_`x' = "`est_u5mp2p_`x''*"
{txt} 72{com}.                                 {c )-}
{txt} 73{com}.                                 
.                 if sign_u5mp2p_p2s_`x' == 1 {c -(}   
{txt} 74{com}.                                 local sign_u5mp2p_`x' = "\cellcolor[HTML]{c -(}C0C0C0{c )-}+"
{txt} 75{com}.                                 local est_u5mp2p_`x' = "`est_u5mp2p_`x''**"
{txt} 76{com}.                                 {c )-}
{txt} 77{com}.                                 
.                 if sign_u5mp2p_p3s_`x' == 1 {c -(}   
{txt} 78{com}.                                 local sign_u5mp2p_`x' = "\cellcolor[HTML]{c -(}9B9B9B{c )-}+"
{txt} 79{com}.                                 local est_u5mp2p_`x' = "`est_u5mp2p_`x''***"
{txt} 80{com}.                                 {c )-}
{txt} 81{com}.                         
.                 if sign_u5mp2p_m1s_`x' == 1 {c -(}
{txt} 82{com}.                                 local sign_u5mp2p_`x' = "\cellcolor[HTML]{c -(}EFEFEF{c )-}-"
{txt} 83{com}.                                 local est_u5mp2p_`x' = "`est_u5mp2p_`x''*"
{txt} 84{com}.                                 {c )-}
{txt} 85{com}.                                 
.                 if sign_u5mp2p_m2s_`x' == 1 {c -(}   
{txt} 86{com}.                                 local sign_u5mp2p_`x' = "\cellcolor[HTML]{c -(}C0C0C0{c )-}-"
{txt} 87{com}.                                 local est_u5mp2p_`x' = "`est_u5mp2p_`x''**"
{txt} 88{com}.                                 {c )-}
{txt} 89{com}.                                 
.                 if sign_u5mp2p_m3s_`x' == 1 {c -(}   
{txt} 90{com}.                                 local sign_u5mp2p_`x' = "\cellcolor[HTML]{c -(}9B9B9B{c )-}-"
{txt} 91{com}.                                 local est_u5mp2p_`x' = "`est_u5mp2p_`x''***"
{txt} 92{com}.                                 {c )-}
{txt} 93{com}.                         
.                 if sign_u5mp2p_zero_`x' == 1 {c -(}
{txt} 94{com}.                         local sign_u5mp2p_`x' = "0"
{txt} 95{com}.                         {c )-}
{txt} 96{com}.                         
.                 drop sign_*
{txt} 97{com}. 
.                 {c )-}
{res}
{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}       187
{txt}{col 49}F({res}  10{txt},{res}    161{txt}){col 67}= {res}      1.92
{txt}{col 49}Prob > F{col 67}= {res}    0.0453
{txt}{col 49}R-squared{col 67}= {res}    0.2030
{txt}{col 49}Adj R-squared{col 67}= {res}    0.0792
{txt}{col 49}Root MSE{col 67}= {res}    0.0526

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}e_mortrat~05{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2} -.006153{col 26}{space 2} .0105729{col 37}{space 1}   -0.58{col 46}{space 3}0.561{col 54}{space 4}-.0270325{col 67}{space 3} .0147265
{txt}treatfull~2p {c |}{col 14}{res}{space 2}-.0143271{col 26}{space 2} .0162401{col 37}{space 1}   -0.88{col 46}{space 3}0.379{col 54}{space 4}-.0463981{col 67}{space 3} .0177439
{txt}{space 6}u5_p2p {c |}{col 14}{res}{space 2}-.0129924{col 26}{space 2} .0148208{col 37}{space 1}   -0.88{col 46}{space 3}0.382{col 54}{space 4}-.0422607{col 67}{space 3} .0162758
{txt}b_mortrat~05 {c |}{col 14}{res}{space 2} .1753176{col 26}{space 2} .0828532{col 37}{space 1}    2.12{col 46}{space 3}0.036{col 54}{space 4} .0116985{col 67}{space 3} .3389367
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2} .0215499{col 26}{space 2} .0555291{col 37}{space 1}    0.39{col 46}{space 3}0.698{col 54}{space 4}-.0881093{col 67}{space 3} .1312091
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2}-.0065745{col 26}{space 2} .0067484{col 37}{space 1}   -0.97{col 46}{space 3}0.331{col 54}{space 4}-.0199013{col 67}{space 3} .0067523
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2} .0129235{col 26}{space 2} .0195776{col 37}{space 1}    0.66{col 46}{space 3}0.510{col 54}{space 4}-.0257384{col 67}{space 3} .0515854
{txt}c_treatful.. {c |}{col 14}{res}{space 2}-.1655431{col 26}{space 2} .0858777{col 37}{space 1}   -1.93{col 46}{space 3}0.056{col 54}{space 4}-.3351351{col 67}{space 3} .0040489
{txt}c_treatful.. {c |}{col 14}{res}{space 2}-.0018896{col 26}{space 2} .0081056{col 37}{space 1}   -0.23{col 46}{space 3}0.816{col 54}{space 4}-.0178966{col 67}{space 3} .0141173
{txt}c_treatful.. {c |}{col 14}{res}{space 2}-.0102616{col 26}{space 2} .0260733{col 37}{space 1}   -0.39{col 46}{space 3}0.694{col 54}{space 4}-.0617514{col 67}{space 3} .0412282
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} .0614334{col 26}{space 2} .0074261{col 37}{space 1}    8.27{col 46}{space 3}0.000{col 54}{space 4} .0467684{col 67}{space 3} .0760984
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull + treatfull_u5_p2p = 0{p_end}

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}e_mortrat~05{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}(1) {c |}{col 14}{res}{space 2}-.0204801{col 26}{space 2} .0119245{col 37}{space 1}   -1.72{col 46}{space 3}0.088{col 54}{space 4}-.0440287{col 67}{space 3} .0030685
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull + treatfull_u5_p2p = 0{p_end}

{txt}       F(  1,   161) ={res}    2.95
{txt}{col 13}Prob > F ={res}    0.0878

{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}       187
{txt}{col 49}F({res}  10{txt},{res}    161{txt}){col 67}= {res}      0.82
{txt}{col 49}Prob > F{col 67}= {res}    0.6067
{txt}{col 49}R-squared{col 67}= {res}    0.0915
{txt}{col 49}Adj R-squared{col 67}= {res}   -0.0496
{txt}{col 49}Root MSE{col 67}= {res}    0.7057

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}e_h_ctzpre_z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2}-.0660336{col 26}{space 2} .1488897{col 37}{space 1}   -0.44{col 46}{space 3}0.658{col 54}{space 4}-.3600621{col 67}{space 3}  .227995
{txt}treatfull~2p {c |}{col 14}{res}{space 2} -.182954{col 26}{space 2} .2436945{col 37}{space 1}   -0.75{col 46}{space 3}0.454{col 54}{space 4} -.664204{col 67}{space 3} .2982959
{txt}{space 6}u5_p2p {c |}{col 14}{res}{space 2} .1740093{col 26}{space 2} .1548985{col 37}{space 1}    1.12{col 46}{space 3}0.263{col 54}{space 4}-.1318855{col 67}{space 3} .4799041
{txt}b_h_ctzpre_z {c |}{col 14}{res}{space 2} .0084517{col 26}{space 2} .0657904{col 37}{space 1}    0.13{col 46}{space 3}0.898{col 54}{space 4}-.1214716{col 67}{space 3}  .138375
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2}-.6286723{col 26}{space 2} .5493939{col 37}{space 1}   -1.14{col 46}{space 3}0.254{col 54}{space 4} -1.71362{col 67}{space 3} .4562752
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2}-.0068116{col 26}{space 2} .0879925{col 37}{space 1}   -0.08{col 46}{space 3}0.938{col 54}{space 4}-.1805798{col 67}{space 3} .1669567
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2}  -.22823{col 26}{space 2}  .243758{col 37}{space 1}   -0.94{col 46}{space 3}0.351{col 54}{space 4}-.7096053{col 67}{space 3} .2531454
{txt}c_treatful.. {c |}{col 14}{res}{space 2} .8006029{col 26}{space 2} 1.051533{col 37}{space 1}    0.76{col 46}{space 3}0.448{col 54}{space 4}-1.275973{col 67}{space 3} 2.877179
{txt}c_treatful.. {c |}{col 14}{res}{space 2} .0802201{col 26}{space 2} .1090051{col 37}{space 1}    0.74{col 46}{space 3}0.463{col 54}{space 4}-.1350441{col 67}{space 3} .2954844
{txt}c_treatful.. {c |}{col 14}{res}{space 2} .1883471{col 26}{space 2} .2634704{col 37}{space 1}    0.71{col 46}{space 3}0.476{col 54}{space 4}-.3319564{col 67}{space 3} .7086506
{txt}{space 7}_cons {c |}{col 14}{res}{space 2}-.0499539{col 26}{space 2} .0994222{col 37}{space 1}   -0.50{col 46}{space 3}0.616{col 54}{space 4}-.2462937{col 67}{space 3} .1463859
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull + treatfull_u5_p2p = 0{p_end}

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}e_h_ctzpre_z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}(1) {c |}{col 14}{res}{space 2}-.2489876{col 26}{space 2} .1723379{col 37}{space 1}   -1.44{col 46}{space 3}0.150{col 54}{space 4}-.5893218{col 67}{space 3} .0913466
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull + treatfull_u5_p2p = 0{p_end}

{txt}       F(  1,   161) ={res}    2.09
{txt}{col 13}Prob > F ={res}    0.1505
{txt}
{com}.                 
.         ********************
.         * Individual level *
.         ********************
.         
.         * Health outcome
.         
.         * At endline
.         
.         use "${c -(}usedata{c )-}/healthoutcome_endline_ind.dta", clear
{txt}
{com}.         
.         ***************
.         * Regressions *
.         ***************
. 
.         **********************************************************
.         ** Controlvar corresponds to the main control variables **
.         **********************************************************
.         
.         * We regress the results
.         
.         * We rename for length of variable reason
.         
.         ren e_healthoutcome_z e_healthout_z
{res}{txt}
{com}.         ren b_healthoutcome_z b_healthout_z
{res}{txt}
{com}.         ren b_healthoutcome_z_d b_healthout_z_d
{res}{txt}
{com}.                 
.         * Regressions at endline 
.         
.         * We local the vector of controls without HC level components
.         
.         local  e_controls_noprefix b_visited_d educyr b_assetindex
{txt}
{com}.                 
.         foreach x in e_ {c -(}
{txt}  2{com}.                 
.                 local `x'controls
{txt}  3{com}.                 local `x'controls_hc
{txt}  4{com}.                 
.                 local `x'controls_tfull
{txt}  5{com}.                 local `x'controls_tfull_hc
{txt}  6{com}.                         
.                 {c )-}
{txt}
{com}.                 
.         foreach x in e_ {c -(}
{txt}  2{com}.                 foreach var in treatfull {c -(}
{txt}  3{com}.                 
.                         local `var'_int_`x'controls
{txt}  4{com}.                         local `var'_hc_int_`x'controls
{txt}  5{com}.                         
.                         {c )-}
{txt}  6{com}.                 {c )-}
{txt}
{com}.                                 
.         foreach var of local e_controls_noprefix {c -(}
{txt}  2{com}.                 local e_controls `e_controls' c_`var'
{txt}  3{com}.                 local e_controls_tfull `e_controls_tfull' c_tfull_`var'
{txt}  4{com}.                 
.                 local e_controls_hc `e_controls_hc' c_hc_`var'
{txt}  5{com}.                 local e_controls_tfull_hc `e_controls_tfull_hc' c_tfull_hc_`var'
{txt}  6{com}.                 {c )-}
{txt}
{com}.                         
.         foreach treat in treatfull {c -(}
{txt}  2{com}.                 foreach var of local e_controls_noprefix {c -(}
{txt}  3{com}.                 
.                         local `treat'_int_e_controls ``treat'_int_e_controls' c_`treat'_`var'
{txt}  4{com}.                         local `treat'_hc_int_e_controls ``treat'_hc_int_e_controls' c_`treat'_hc_`var'
{txt}  5{com}.                         
.                         {c )-}
{txt}  6{com}.                 {c )-}
{txt}
{com}.                 
.         * We recode the variable to study backwardness
.         
.         foreach var in b_treatqual_z_med_d b_h_urb_area b_h_outsideoption_z_med_d b_ngo_hc {c -(}
{txt}  2{com}.         
.                 recode `var' (0=1) (1=0)
{txt}  3{com}.                 
.                 {c )-}
{txt}(b_treatqual_z_med_d: 18551 changes made)
(b_h_urb_area: 18551 changes made)
(b_h_outsideoption_z_med_d: 18551 changes made)
(b_ngo_hc: 15526 changes made)

{com}.                 
.         replace treatfull_treatqual = treatfull * b_treatqual_z_med_d
{txt}(4,585 real changes made)

{com}.         replace treatfull_outsideoption = treatfull * b_h_outsideoption_z_med_d 
{txt}(4,585 real changes made)

{com}.         replace treatfull_urbanarea = treatfull * b_h_urb_area
{txt}(4,585 real changes made)

{com}.         replace treatfull_ngo_hc = treatfull * b_ngo_hc
{txt}(3,835 real changes made)

{com}.         
.                 
.         * We regress the results
.         
.         * Subgroup effects: HC2
. 
.         local x healthout_z
{txt}
{com}. 
.         areg e_`x' treatfull treatfull_hc2 hc2 b_`x' b_`x'_d `e_controls_tfull' `treatfull_int_e_controls', robust cl(hc_id) a(district)

{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}     4,930
{txt}{col 49}F({res}  11{txt},{res}    186{txt}){col 67}= {res}     62.97
{txt}{col 49}Prob > F{col 67}= {res}    0.0000
{txt}{col 49}R-squared{col 67}= {res}    0.1114
{txt}{col 49}Adj R-squared{col 67}= {res}    0.1067
{txt}{col 49}Root MSE{col 67}= {res}    0.8984

{txt}{ralign 78:(Std. Err. adjusted for {res:187} clusters in hc_id)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}e_healthou~z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2}  .023566{col 26}{space 2} .0445423{col 37}{space 1}    0.53{col 46}{space 3}0.597{col 54}{space 4} -.064307{col 67}{space 3} .1114391
{txt}treatfull_~2 {c |}{col 14}{res}{space 2}-.0474302{col 26}{space 2} .0586958{col 37}{space 1}   -0.81{col 46}{space 3}0.420{col 54}{space 4}-.1632253{col 67}{space 3} .0683648
{txt}{space 9}hc2 {c |}{col 14}{res}{space 2} .0421856{col 26}{space 2} .0430717{col 37}{space 1}    0.98{col 46}{space 3}0.329{col 54}{space 4}-.0427862{col 67}{space 3} .1271574
{txt}b_healthou~z {c |}{col 14}{res}{space 2} .1298478{col 26}{space 2} .0154311{col 37}{space 1}    8.41{col 46}{space 3}0.000{col 54}{space 4} .0994052{col 67}{space 3} .1602903
{txt}b_healthou~d {c |}{col 14}{res}{space 2} .6759681{col 26}{space 2} .0268672{col 37}{space 1}   25.16{col 46}{space 3}0.000{col 54}{space 4} .6229645{col 67}{space 3} .7289718
{txt}c_tfull_b_~d {c |}{col 14}{res}{space 2}  .073762{col 26}{space 2} .0875912{col 37}{space 1}    0.84{col 46}{space 3}0.401{col 54}{space 4}-.0990378{col 67}{space 3} .2465619
{txt}c_tfull_ed~r {c |}{col 14}{res}{space 2} .0100221{col 26}{space 2}  .005419{col 37}{space 1}    1.85{col 46}{space 3}0.066{col 54}{space 4}-.0006684{col 67}{space 3} .0207127
{txt}c_tfull_b_~x {c |}{col 14}{res}{space 2} .0701639{col 26}{space 2} .0248889{col 37}{space 1}    2.82{col 46}{space 3}0.005{col 54}{space 4} .0210631{col 67}{space 3} .1192647
{txt}c_treatful.. {c |}{col 14}{res}{space 2} -.100613{col 26}{space 2} .1073256{col 37}{space 1}   -0.94{col 46}{space 3}0.350{col 54}{space 4}-.3123449{col 67}{space 3}  .111119
{txt}c_treatful.. {c |}{col 14}{res}{space 2}-.0003758{col 26}{space 2}  .006746{col 37}{space 1}   -0.06{col 46}{space 3}0.956{col 54}{space 4}-.0136843{col 67}{space 3} .0129326
{txt}c_treatful.. {c |}{col 14}{res}{space 2}-.0503198{col 26}{space 2} .0295372{col 37}{space 1}   -1.70{col 46}{space 3}0.090{col 54}{space 4}-.1085907{col 67}{space 3} .0079511
{txt}{space 7}_cons {c |}{col 14}{res}{space 2}-.5341596{col 26}{space 2} .0324616{col 37}{space 1}  -16.46{col 46}{space 3}0.000{col 54}{space 4}-.5981998{col 67}{space 3}-.4701194
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{com}.                 
.         eststo e_`x'_hc2
{txt}
{com}.         local n_hc3_`x' = string(e(N),"%9.0fc")
{txt}
{com}.         local r2_hc3_`x' = string(e(r2),"%9.3fc")
{txt}
{com}. 
.         lincom treatfull + treatfull_hc2 

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull + treatfull_hc2 = 0{p_end}

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}e_healthou~z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}(1) {c |}{col 14}{res}{space 2}-.0238642{col 26}{space 2} .0358677{col 37}{space 1}   -0.67{col 46}{space 3}0.507{col 54}{space 4} -.094624{col 67}{space 3} .0468956
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}.         local est_hc2_`x' = r(estimate)
{txt}
{com}.         local se_hc2_`x' = r(se)
{txt}
{com}.         test treatfull + treatfull_hc2 = 0

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull + treatfull_hc2 = 0{p_end}

{txt}       F(  1,   186) ={res}    0.44
{txt}{col 13}Prob > F ={res}    0.5067
{txt}
{com}.         local p_hc2_`x' = r(p)
{txt}
{com}.         
.         local est_hc3_`x' = string(_b[treatfull],"%9.3fc")
{txt}
{com}.         local se_hc3_`x' = string(_se[treatfull],"%9.3fc")
{txt}
{com}.         local p_hc3_`x' = (2 * ttail(e(df_r), abs(_b[treatfull]/_se[treatfull])))
{txt}
{com}.         
.         local est_tmxhc3_`x' = string(_b[treatfull_hc2],"%9.3fc")
{txt}
{com}.         local se_tmxhc3_`x' = string(_se[treatfull_hc2],"%9.3fc")
{txt}
{com}.         local p_tmxhc3_`x' = (2 * ttail(e(df_r), abs(_b[treatfull_hc2]/_se[treatfull_hc2])))
{txt}
{com}.         
.         local est_smhc3_`x' = string(_b[hc2],"%9.3fc")
{txt}
{com}.         local se_smhc3_`x' = string(_se[hc2],"%9.3fc")
{txt}
{com}.         local p_smhc3_`x' = (2 * ttail(e(df_r), abs(_b[hc2]/_se[hc2])))
{txt}
{com}.         
.         local est_chc3_`x' = string(_b[_cons],"%9.3fc")
{txt}
{com}.         local se_chc3_`x' = string(_se[_cons],"%9.3fc")
{txt}
{com}.         local p_chc3_`x' = (2 * ttail(e(df_r), abs(_b[_cons]/_se[_cons])))
{txt}
{com}.         
.         foreach var in hc3 tmxhc3 smhc3 chc3 {c -(}
{txt}  2{com}.         
.                 gen sign_`var'_zero_`x' = (`p_`var'_`x''>0.1)
{txt}  3{com}.                 gen sign_`var'_p1s_`x' = (`p_`var'_`x''<=0.1 & `p_`var'_`x''>0.05 & `est_`var'_`x''>0)
{txt}  4{com}.                 gen sign_`var'_p2s_`x' = (`p_`var'_`x''<=0.05 & `p_`var'_`x''>0.01 & `est_`var'_`x''>0)
{txt}  5{com}.                 gen sign_`var'_p3s_`x' = (`p_`var'_`x''<=0.01 & `p_`var'_`x''>=0 & `est_`var'_`x''>0)
{txt}  6{com}.                 gen sign_`var'_m1s_`x' = (`p_`var'_`x''<=0.1 & `p_`var'_`x''>0.05 & `est_`var'_`x''<0)
{txt}  7{com}.                 gen sign_`var'_m2s_`x' = (`p_`var'_`x''<=0.05 & `p_`var'_`x''>0.01 & `est_`var'_`x''<0)
{txt}  8{com}.                 gen sign_`var'_m3s_`x' = (`p_`var'_`x''<=0.01 & `p_`var'_`x''>=0 & `est_`var'_`x''<0)
{txt}  9{com}.                 
. 
.                 if sign_`var'_p1s_`x' == 1 {c -(}
{txt} 10{com}.                                 local sign_`var'_`x' = "\cellcolor[HTML]{c -(}EFEFEF{c )-}+"
{txt} 11{com}.                                 local est_`var'_`x' = "`est_`var'_`x''*"
{txt} 12{com}.                                 {c )-}
{txt} 13{com}.                                 
.                 if sign_`var'_p2s_`x' == 1 {c -(}    
{txt} 14{com}.                                 local sign_`var'_`x' = "\cellcolor[HTML]{c -(}C0C0C0{c )-}+"
{txt} 15{com}.                                 local est_`var'_`x' = "`est_`var'_`x''**"
{txt} 16{com}.                                 {c )-}
{txt} 17{com}.                                 
.                 if sign_`var'_p3s_`x' == 1 {c -(}    
{txt} 18{com}.                                 local sign_`var'_`x' = "\cellcolor[HTML]{c -(}9B9B9B{c )-}+"
{txt} 19{com}.                                 local est_`var'_`x' = "`est_`var'_`x''***"
{txt} 20{com}.                                 {c )-}
{txt} 21{com}.                         
.                 if sign_`var'_m1s_`x' == 1 {c -(}
{txt} 22{com}.                                 local sign_`var'_`x' = "\cellcolor[HTML]{c -(}EFEFEF{c )-}-"
{txt} 23{com}.                                 local est_`var'_`x' = "`est_`var'_`x''*"
{txt} 24{com}.                                 {c )-}
{txt} 25{com}.                                 
.                 if sign_`var'_m2s_`x' == 1 {c -(}    
{txt} 26{com}.                                 local sign_`var'_`x' = "\cellcolor[HTML]{c -(}C0C0C0{c )-}-"
{txt} 27{com}.                                 local est_`var'_`x' = "`est_`var'_`x''**"
{txt} 28{com}.                                 {c )-}
{txt} 29{com}.                                 
.                 if sign_`var'_m3s_`x' == 1 {c -(}    
{txt} 30{com}.                                 local sign_`var'_`x' = "\cellcolor[HTML]{c -(}9B9B9B{c )-}-"
{txt} 31{com}.                                 local est_`var'_`x' = "`est_`var'_`x''***"
{txt} 32{com}.                                 {c )-}
{txt} 33{com}.                         
.                 if sign_`var'_zero_`x' == 1 {c -(}
{txt} 34{com}.                         local sign_`var'_`x' = "0"
{txt} 35{com}.                         {c )-}
{txt} 36{com}.                         
.                 {c )-}
{txt}
{com}.         
.         gen sign_hc2_zero_`x' = (`p_hc2_`x''>0.1)
{txt}
{com}.         gen sign_hc2_p1s_`x' = (`p_hc2_`x''<=0.1 & `p_hc2_`x''>0.05 & `est_hc2_`x''>0)
{txt}
{com}.         gen sign_hc2_p2s_`x' = (`p_hc2_`x''<=0.05 & `p_hc2_`x''>0.01 & `est_hc2_`x''>0)
{txt}
{com}.         gen sign_hc2_p3s_`x' = (`p_hc2_`x''<=0.01 & `p_hc2_`x''>=0 & `est_hc2_`x''>0)
{txt}
{com}.         gen sign_hc2_m1s_`x' = (`p_hc2_`x''<=0.1 & `p_hc2_`x''>0.05 & `est_hc2_`x''<0)
{txt}
{com}.         gen sign_hc2_m2s_`x' = (`p_hc2_`x''<=0.05 & `p_hc2_`x''>0.01 & `est_hc2_`x''<0)
{txt}
{com}.         gen sign_hc2_m3s_`x' = (`p_hc2_`x''<=0.01 & `p_hc2_`x''>=0 & `est_hc2_`x''<0)
{txt}
{com}.         
.         local p_hc2_`x' = string(`p_hc2_`x'',"%9.3fc")
{txt}
{com}.         local est_hc2_`x' = string(`est_hc2_`x'',"%9.3fc")
{txt}
{com}.         local se_hc2_`x' = string(`se_hc2_`x'',"%9.3fc")
{txt}
{com}.         
.         if sign_hc2_p1s_`x' == 1 {c -(}
.                         local sign_hc2_`x' = "\cellcolor[HTML]{c -(}EFEFEF{c )-}+"
.                         local est_hc2_`x' = "`est_hc2_`x''*"
.                         {c )-}
{txt}
{com}.                         
.         if sign_hc2_p2s_`x' == 1 {c -(}      
.                         local sign_hc2_`x' = "\cellcolor[HTML]{c -(}C0C0C0{c )-}+"
.                         local est_hc2_`x' = "`est_hc2_`x''**"
.                         {c )-}
{txt}
{com}.                         
.         if sign_hc2_p3s_`x' == 1 {c -(}      
.                         local sign_hc2_`x' = "\cellcolor[HTML]{c -(}9B9B9B{c )-}+"
.                         local est_hc2_`x' = "`est_hc2_`x''***"
.                         {c )-}
{txt}
{com}.                 
.         if sign_hc2_m1s_`x' == 1 {c -(}
.                         local sign_hc2_`x' = "\cellcolor[HTML]{c -(}EFEFEF{c )-}-"
.                         local est_hc2_`x' = "`est_hc2_`x''*"
.                         {c )-}
{txt}
{com}.                         
.         if sign_hc2_m2s_`x' == 1 {c -(}      
.                         local sign_hc2_`x' = "\cellcolor[HTML]{c -(}C0C0C0{c )-}-"
.                         local est_hc2_`x' = "`est_hc2_`x''**"
.                         {c )-}
{txt}
{com}.                         
.         if sign_hc2_m3s_`x' == 1 {c -(}      
.                         local sign_hc2_`x' = "\cellcolor[HTML]{c -(}9B9B9B{c )-}-"
.                         local est_hc2_`x' = "`est_hc2_`x''***"
.                         {c )-}
{txt}
{com}.                 
.         if sign_hc2_zero_`x' == 1 {c -(}
.                 local sign_hc2_`x' = "0"
.                 {c )-}
{txt}
{com}.         
.         drop sign_*
{txt}
{com}.         
.         * Subgroup effects: Treatment Quality
.         
.         * We local the vector of controls with HC level components
.         
.         local  e_controls_noprefix hc2 b_h_del b_h_staff_houses b_visited_d educyr b_assetindex
{txt}
{com}.                 
.         foreach x in e_ {c -(}
{txt}  2{com}.                 
.                 local `x'controls
{txt}  3{com}.                 local `x'controls_hc
{txt}  4{com}.                 
.                 local `x'controls_tfull
{txt}  5{com}.                 local `x'controls_tfull_hc
{txt}  6{com}.                         
.                 {c )-}
{txt}
{com}.                 
.         foreach x in e_ {c -(}
{txt}  2{com}.                 foreach var in treatfull {c -(}
{txt}  3{com}.                 
.                         local `var'_int_`x'controls
{txt}  4{com}.                         local `var'_hc_int_`x'controls
{txt}  5{com}.                         
.                         {c )-}
{txt}  6{com}.                 {c )-}
{txt}
{com}.                                 
.         foreach var of local e_controls_noprefix {c -(}
{txt}  2{com}.                 local e_controls `e_controls' c_`var'
{txt}  3{com}.                 local e_controls_tfull `e_controls_tfull' c_tfull_`var'
{txt}  4{com}.                 
.                 local e_controls_hc `e_controls_hc' c_hc_`var'
{txt}  5{com}.                 local e_controls_tfull_hc `e_controls_tfull_hc' c_tfull_hc_`var'
{txt}  6{com}.                 {c )-}
{txt}
{com}.                         
.         foreach treat in treatfull {c -(}
{txt}  2{com}.                 foreach var of local e_controls_noprefix {c -(}
{txt}  3{com}.                 
.                         local `treat'_int_e_controls ``treat'_int_e_controls' c_`treat'_`var'
{txt}  4{com}.                         local `treat'_hc_int_e_controls ``treat'_hc_int_e_controls' c_`treat'_hc_`var'
{txt}  5{com}.                         
.                         {c )-}
{txt}  6{com}.                 {c )-}
{txt}
{com}.         
.         * We regress the results
.         
.         local x healthout_z
{txt}
{com}. 
.         areg e_`x' treatfull treatfull_treatqual b_treatqual_z_med_d b_`x' b_`x'_d `e_controls_tfull' `treatfull_int_e_controls', robust cl(hc_id) a(district)

{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}     4,930
{txt}{col 49}F({res}  17{txt},{res}    186{txt}){col 67}= {res}     43.32
{txt}{col 49}Prob > F{col 67}= {res}    0.0000
{txt}{col 49}R-squared{col 67}= {res}    0.1129
{txt}{col 49}Adj R-squared{col 67}= {res}    0.1071
{txt}{col 49}Root MSE{col 67}= {res}    0.8981

{txt}{ralign 78:(Std. Err. adjusted for {res:187} clusters in hc_id)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}e_healthou~z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2} .0492531{col 26}{space 2} .0383438{col 37}{space 1}    1.28{col 46}{space 3}0.201{col 54}{space 4}-.0263915{col 67}{space 3} .1248976
{txt}treatful~ual {c |}{col 14}{res}{space 2}-.1032232{col 26}{space 2} .0549202{col 37}{space 1}   -1.88{col 46}{space 3}0.062{col 54}{space 4}-.2115697{col 67}{space 3} .0051233
{txt}b_treatqua~d {c |}{col 14}{res}{space 2} .0701966{col 26}{space 2} .0399793{col 37}{space 1}    1.76{col 46}{space 3}0.081{col 54}{space 4}-.0086745{col 67}{space 3} .1490677
{txt}b_healthou~z {c |}{col 14}{res}{space 2} .1302559{col 26}{space 2} .0155036{col 37}{space 1}    8.40{col 46}{space 3}0.000{col 54}{space 4} .0996703{col 67}{space 3} .1608414
{txt}b_healthou~d {c |}{col 14}{res}{space 2} .6781154{col 26}{space 2}  .026666{col 37}{space 1}   25.43{col 46}{space 3}0.000{col 54}{space 4} .6255086{col 67}{space 3} .7307221
{txt}{space 1}c_tfull_hc2 {c |}{col 14}{res}{space 2} .0228186{col 26}{space 2} .0529427{col 37}{space 1}    0.43{col 46}{space 3}0.667{col 54}{space 4}-.0816268{col 67}{space 3}  .127264
{txt}c_tfull_b_~l {c |}{col 14}{res}{space 2}-.0117028{col 26}{space 2} .0641452{col 37}{space 1}   -0.18{col 46}{space 3}0.855{col 54}{space 4}-.1382485{col 67}{space 3} .1148429
{txt}c_tfull_b_~s {c |}{col 14}{res}{space 2}-.0124448{col 26}{space 2} .0687573{col 37}{space 1}   -0.18{col 46}{space 3}0.857{col 54}{space 4}-.1480893{col 67}{space 3} .1231997
{txt}c_tfull_b_~d {c |}{col 14}{res}{space 2} .0675124{col 26}{space 2} .0864352{col 37}{space 1}    0.78{col 46}{space 3}0.436{col 54}{space 4} -.103007{col 67}{space 3} .2380319
{txt}c_tfull_ed~r {c |}{col 14}{res}{space 2} .0100062{col 26}{space 2} .0053948{col 37}{space 1}    1.85{col 46}{space 3}0.065{col 54}{space 4}-.0006367{col 67}{space 3} .0206491
{txt}c_tfull_b_~x {c |}{col 14}{res}{space 2} .0711032{col 26}{space 2} .0247916{col 37}{space 1}    2.87{col 46}{space 3}0.005{col 54}{space 4} .0221944{col 67}{space 3}  .120012
{txt}c_trea~l_hc2 {c |}{col 14}{res}{space 2}-.0665038{col 26}{space 2} .0689293{col 37}{space 1}   -0.96{col 46}{space 3}0.336{col 54}{space 4}-.2024876{col 67}{space 3}   .06948
{txt}c_treatful.. {c |}{col 14}{res}{space 2}-.0601737{col 26}{space 2} .0727334{col 37}{space 1}   -0.83{col 46}{space 3}0.409{col 54}{space 4}-.2036621{col 67}{space 3} .0833147
{txt}c_treatful.. {c |}{col 14}{res}{space 2}-.0522603{col 26}{space 2} .0755002{col 37}{space 1}   -0.69{col 46}{space 3}0.490{col 54}{space 4}-.2012071{col 67}{space 3} .0966864
{txt}c_treatful.. {c |}{col 14}{res}{space 2}-.0810032{col 26}{space 2}   .10703{col 37}{space 1}   -0.76{col 46}{space 3}0.450{col 54}{space 4}-.2921519{col 67}{space 3} .1301456
{txt}c_treatful.. {c |}{col 14}{res}{space 2}-.0002605{col 26}{space 2} .0067536{col 37}{space 1}   -0.04{col 46}{space 3}0.969{col 54}{space 4} -.013584{col 67}{space 3}  .013063
{txt}c_treatful.. {c |}{col 14}{res}{space 2}-.0572608{col 26}{space 2}  .029466{col 37}{space 1}   -1.94{col 46}{space 3}0.053{col 54}{space 4}-.1153913{col 67}{space 3} .0008696
{txt}{space 7}_cons {c |}{col 14}{res}{space 2}-.5477264{col 26}{space 2}  .030145{col 37}{space 1}  -18.17{col 46}{space 3}0.000{col 54}{space 4}-.6071965{col 67}{space 3}-.4882563
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{com}.         
.         eststo e_`x'_treatqual
{txt}
{com}.         local n_treatqual_`x' = string(e(N),"%9.0fc")
{txt}
{com}.         local r2_treatqual_`x' = string(e(r2),"%9.3fc")
{txt}
{com}.         
.         lincom treatfull + treatfull_treatqual

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull + treatfull_treatqual = 0{p_end}

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}e_healthou~z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}(1) {c |}{col 14}{res}{space 2}-.0539701{col 26}{space 2} .0383886{col 37}{space 1}   -1.41{col 46}{space 3}0.161{col 54}{space 4}-.1297032{col 67}{space 3} .0217629
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}.         local est_treatqual_`x' = r(estimate)
{txt}
{com}.         local se_treatqual_`x' = r(se)
{txt}
{com}.         test treatfull + treatfull_treatqual = 0

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull + treatfull_treatqual = 0{p_end}

{txt}       F(  1,   186) ={res}    1.98
{txt}{col 13}Prob > F ={res}    0.1614
{txt}
{com}.         local p_treatqual_`x' = r(p)
{txt}
{com}.         
.         local est_btreatqual_`x' = string(_b[treatfull],"%9.3fc")
{txt}
{com}.         local se_btreatqual_`x' = string(_se[treatfull],"%9.3fc")
{txt}
{com}.         local p_btreatqual_`x' = (2 * ttail(e(df_r), abs(_b[treatfull]/_se[treatfull])))
{txt}
{com}.         
.         local est_tmxtqual_`x' = string(_b[treatfull_treatqual],"%9.3fc")
{txt}
{com}.         local se_tmxtqual_`x' = string(_se[treatfull_treatqual],"%9.3fc")
{txt}
{com}.         local p_tmxtqual_`x' = (2 * ttail(e(df_r), abs(_b[treatfull_treatqual]/_se[treatfull_treatqual])))
{txt}
{com}.         
.         local est_smtqual_`x' = string(_b[b_treatqual_z_med_d],"%9.3fc")
{txt}
{com}.         local se_smtqual_`x' = string(_se[b_treatqual_z_med_d],"%9.3fc")
{txt}
{com}.         local p_smtqual_`x' = (2 * ttail(e(df_r), abs(_b[b_treatqual_z_med_d]/_se[b_treatqual_z_med_d])))
{txt}
{com}.         
.         local est_ctqual_`x' = string(_b[_cons],"%9.3fc")
{txt}
{com}.         local se_ctqual_`x' = string(_se[_cons],"%9.3fc")
{txt}
{com}.         local p_ctqual_`x' = (2 * ttail(e(df_r), abs(_b[_cons]/_se[_cons])))
{txt}
{com}.         
.         foreach var in btreatqual tmxtqual smtqual ctqual {c -(}
{txt}  2{com}.         
.                 gen sign_`var'_zero_`x' = (`p_`var'_`x''>0.1)
{txt}  3{com}.                 gen sign_`var'_p1s_`x' = (`p_`var'_`x''<=0.1 & `p_`var'_`x''>0.05 & `est_`var'_`x''>0)
{txt}  4{com}.                 gen sign_`var'_p2s_`x' = (`p_`var'_`x''<=0.05 & `p_`var'_`x''>0.01 & `est_`var'_`x''>0)
{txt}  5{com}.                 gen sign_`var'_p3s_`x' = (`p_`var'_`x''<=0.01 & `p_`var'_`x''>=0 & `est_`var'_`x''>0)
{txt}  6{com}.                 gen sign_`var'_m1s_`x' = (`p_`var'_`x''<=0.1 & `p_`var'_`x''>0.05 & `est_`var'_`x''<0)
{txt}  7{com}.                 gen sign_`var'_m2s_`x' = (`p_`var'_`x''<=0.05 & `p_`var'_`x''>0.01 & `est_`var'_`x''<0)
{txt}  8{com}.                 gen sign_`var'_m3s_`x' = (`p_`var'_`x''<=0.01 & `p_`var'_`x''>=0 & `est_`var'_`x''<0)
{txt}  9{com}.                 
.                 if sign_`var'_p1s_`x' == 1 {c -(}
{txt} 10{com}.                                 local sign_`var'_`x' = "\cellcolor[HTML]{c -(}EFEFEF{c )-}+"
{txt} 11{com}.                                 local est_`var'_`x' = "`est_`var'_`x''*"
{txt} 12{com}.                                 {c )-}
{txt} 13{com}.                                 
.                 if sign_`var'_p2s_`x' == 1 {c -(}    
{txt} 14{com}.                                 local sign_`var'_`x' = "\cellcolor[HTML]{c -(}C0C0C0{c )-}+"
{txt} 15{com}.                                 local est_`var'_`x' = "`est_`var'_`x''**"
{txt} 16{com}.                                 {c )-}
{txt} 17{com}.                                 
.                 if sign_`var'_p3s_`x' == 1 {c -(}    
{txt} 18{com}.                                 local sign_`var'_`x' = "\cellcolor[HTML]{c -(}9B9B9B{c )-}+"
{txt} 19{com}.                                 local est_`var'_`x' = "`est_`var'_`x''***"
{txt} 20{com}.                                 {c )-}
{txt} 21{com}.                         
.                 if sign_`var'_m1s_`x' == 1 {c -(}
{txt} 22{com}.                                 local sign_`var'_`x' = "\cellcolor[HTML]{c -(}EFEFEF{c )-}-"
{txt} 23{com}.                                 local est_`var'_`x' = "`est_`var'_`x''*"
{txt} 24{com}.                                 {c )-}
{txt} 25{com}.                                 
.                 if sign_`var'_m2s_`x' == 1 {c -(}    
{txt} 26{com}.                                 local sign_`var'_`x' = "\cellcolor[HTML]{c -(}C0C0C0{c )-}-"
{txt} 27{com}.                                 local est_`var'_`x' = "`est_`var'_`x''**"
{txt} 28{com}.                                 {c )-}
{txt} 29{com}.                                 
.                 if sign_`var'_m3s_`x' == 1 {c -(}    
{txt} 30{com}.                                 local sign_`var'_`x' = "\cellcolor[HTML]{c -(}9B9B9B{c )-}-"
{txt} 31{com}.                                 local est_`var'_`x' = "`est_`var'_`x''***"
{txt} 32{com}.                                 {c )-}
{txt} 33{com}.                         
.                 if sign_`var'_zero_`x' == 1 {c -(}
{txt} 34{com}.                         local sign_`var'_`x' = "0"
{txt} 35{com}.                         {c )-}
{txt} 36{com}.                         
.                 {c )-}
{txt}
{com}. 
.         
.         gen sign_treatqual_zero_`x' = (`p_treatqual_`x''>0.1)
{txt}
{com}.         gen sign_treatqual_p1s_`x' = (`p_treatqual_`x''<=0.1 & `p_treatqual_`x''>0.05 & `est_treatqual_`x''>0)
{txt}
{com}.         gen sign_treatqual_p2s_`x' = (`p_treatqual_`x''<=0.05 & `p_treatqual_`x''>0.01 & `est_treatqual_`x''>0)
{txt}
{com}.         gen sign_treatqual_p3s_`x' = (`p_treatqual_`x''<=0.01 & `p_treatqual_`x''>=0 & `est_treatqual_`x''>0)
{txt}
{com}.         gen sign_treatqual_m1s_`x' = (`p_treatqual_`x''<=0.1 & `p_treatqual_`x''>0.05 & `est_treatqual_`x''<0)
{txt}
{com}.         gen sign_treatqual_m2s_`x' = (`p_treatqual_`x''<=0.05 & `p_treatqual_`x''>0.01 & `est_treatqual_`x''<0)
{txt}
{com}.         gen sign_treatqual_m3s_`x' = (`p_treatqual_`x''<=0.01 & `p_treatqual_`x''>=0 & `est_treatqual_`x''<0)
{txt}
{com}.         
.         local p_treatqual_`x' = string(`p_treatqual_`x'',"%9.3fc")
{txt}
{com}.         local est_treatqual_`x' = string(`est_treatqual_`x'',"%9.3fc")
{txt}
{com}.         local se_treatqual_`x' = string(`se_treatqual_`x'',"%9.3fc")
{txt}
{com}.         
.         if sign_treatqual_p1s_`x' == 1 {c -(}
.                         local sign_treatqual_`x' = "\cellcolor[HTML]{c -(}EFEFEF{c )-}+"
.                         local est_treatqual_`x' = "`est_treatqual_`x''*"
.                         {c )-}
{txt}
{com}.                         
.         if sign_treatqual_p2s_`x' == 1 {c -(}        
.                         local sign_treatqual_`x' = "\cellcolor[HTML]{c -(}C0C0C0{c )-}+"
.                         local est_treatqual_`x' = "`est_treatqual_`x''**"
.                         {c )-}
{txt}
{com}.                         
.         if sign_treatqual_p3s_`x' == 1 {c -(}        
.                         local sign_treatqual_`x' = "\cellcolor[HTML]{c -(}9B9B9B{c )-}+"
.                         local est_treatqual_`x' = "`est_treatqual_`x''***"
.                         {c )-}
{txt}
{com}.                 
.         if sign_treatqual_m1s_`x' == 1 {c -(}
.                         local sign_treatqual_`x' = "\cellcolor[HTML]{c -(}EFEFEF{c )-}-"
.                         local est_treatqual_`x' = "`est_treatqual_`x''*"
.                         {c )-}
{txt}
{com}.                         
.         if sign_treatqual_m2s_`x' == 1 {c -(}        
.                         local sign_treatqual_`x' = "\cellcolor[HTML]{c -(}C0C0C0{c )-}-"
.                         local est_treatqual_`x' = "`est_treatqual_`x''**"
.                         {c )-}
{txt}
{com}.                         
.         if sign_treatqual_m3s_`x' == 1 {c -(}        
.                         local sign_treatqual_`x' = "\cellcolor[HTML]{c -(}9B9B9B{c )-}-"
.                         local est_treatqual_`x' = "`est_treatqual_`x''***"
.                         {c )-}
{txt}
{com}.                 
.         if sign_treatqual_zero_`x' == 1 {c -(}
.                 local sign_treatqual_`x' = "0"
.                 {c )-}
{txt}
{com}.         
.         drop sign_*
{txt}
{com}.                 
.         * Subgroup Effects: Outside Options
.         
.         * We local the vector of controls without HC level components
.         
.         local  e_controls_noprefix b_visited_d educyr b_assetindex
{txt}
{com}.                 
.         foreach x in e_ {c -(}
{txt}  2{com}.                 
.                 local `x'controls
{txt}  3{com}.                 local `x'controls_hc
{txt}  4{com}.                 
.                 local `x'controls_tfull
{txt}  5{com}.                 local `x'controls_tfull_hc
{txt}  6{com}.                         
.                 {c )-}
{txt}
{com}.                 
.         foreach x in e_ {c -(}
{txt}  2{com}.                 foreach var in treatfull {c -(}
{txt}  3{com}.                 
.                         local `var'_int_`x'controls
{txt}  4{com}.                         local `var'_hc_int_`x'controls
{txt}  5{com}.                         
.                         {c )-}
{txt}  6{com}.                 {c )-}
{txt}
{com}.                                 
.         foreach var of local e_controls_noprefix {c -(}
{txt}  2{com}.                 local e_controls `e_controls' c_`var'
{txt}  3{com}.                 local e_controls_tfull `e_controls_tfull' c_tfull_`var'
{txt}  4{com}.                 
.                 local e_controls_hc `e_controls_hc' c_hc_`var'
{txt}  5{com}.                 local e_controls_tfull_hc `e_controls_tfull_hc' c_tfull_hc_`var'
{txt}  6{com}.                 {c )-}
{txt}
{com}.                         
.         foreach treat in treatfull {c -(}
{txt}  2{com}.                 foreach var of local e_controls_noprefix {c -(}
{txt}  3{com}.                 
.                         local `treat'_int_e_controls ``treat'_int_e_controls' c_`treat'_`var'
{txt}  4{com}.                         local `treat'_hc_int_e_controls ``treat'_hc_int_e_controls' c_`treat'_hc_`var'
{txt}  5{com}.                         
.                         {c )-}
{txt}  6{com}.                 {c )-}
{txt}
{com}.                 
.         local x healthout_z
{txt}
{com}. 
.         areg e_`x' treatfull treatfull_outsideoption b_h_outsideoption_z_med_d b_`x' b_`x'_d `e_controls_tfull' `treatfull_int_e_controls', robust cl(hc_id) a(district)

{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}     4,930
{txt}{col 49}F({res}  11{txt},{res}    186{txt}){col 67}= {res}     64.54
{txt}{col 49}Prob > F{col 67}= {res}    0.0000
{txt}{col 49}R-squared{col 67}= {res}    0.1125
{txt}{col 49}Adj R-squared{col 67}= {res}    0.1078
{txt}{col 49}Root MSE{col 67}= {res}    0.8978

{txt}{ralign 78:(Std. Err. adjusted for {res:187} clusters in hc_id)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}e_healthou~z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2} .0081696{col 26}{space 2} .0374901{col 37}{space 1}    0.22{col 46}{space 3}0.828{col 54}{space 4} -.065791{col 67}{space 3} .0821302
{txt}treatfull_~n {c |}{col 14}{res}{space 2}-.0436341{col 26}{space 2} .0577084{col 37}{space 1}   -0.76{col 46}{space 3}0.451{col 54}{space 4}-.1574812{col 67}{space 3}  .070213
{txt}b_h_outsid~d {c |}{col 14}{res}{space 2} .0942832{col 26}{space 2}  .043455{col 37}{space 1}    2.17{col 46}{space 3}0.031{col 54}{space 4} .0085552{col 67}{space 3} .1800113
{txt}b_healthou~z {c |}{col 14}{res}{space 2}  .127685{col 26}{space 2} .0152327{col 37}{space 1}    8.38{col 46}{space 3}0.000{col 54}{space 4} .0976339{col 67}{space 3} .1577361
{txt}b_healthou~d {c |}{col 14}{res}{space 2} .6755414{col 26}{space 2} .0266812{col 37}{space 1}   25.32{col 46}{space 3}0.000{col 54}{space 4} .6229048{col 67}{space 3}  .728178
{txt}c_tfull_b_~d {c |}{col 14}{res}{space 2} .0893153{col 26}{space 2} .0872232{col 37}{space 1}    1.02{col 46}{space 3}0.307{col 54}{space 4}-.0827587{col 67}{space 3} .2613893
{txt}c_tfull_ed~r {c |}{col 14}{res}{space 2} .0088132{col 26}{space 2} .0054453{col 37}{space 1}    1.62{col 46}{space 3}0.107{col 54}{space 4}-.0019293{col 67}{space 3} .0195556
{txt}c_tfull_b_~x {c |}{col 14}{res}{space 2} .0621811{col 26}{space 2} .0249278{col 37}{space 1}    2.49{col 46}{space 3}0.013{col 54}{space 4} .0130035{col 67}{space 3} .1113587
{txt}c_treatful.. {c |}{col 14}{res}{space 2} -.101427{col 26}{space 2} .1074701{col 37}{space 1}   -0.94{col 46}{space 3}0.347{col 54}{space 4}-.3134439{col 67}{space 3}   .11059
{txt}c_treatful.. {c |}{col 14}{res}{space 2} .0005861{col 26}{space 2} .0067131{col 37}{space 1}    0.09{col 46}{space 3}0.931{col 54}{space 4}-.0126576{col 67}{space 3} .0138297
{txt}c_treatful.. {c |}{col 14}{res}{space 2}-.0442573{col 26}{space 2} .0296801{col 37}{space 1}   -1.49{col 46}{space 3}0.138{col 54}{space 4}-.1028103{col 67}{space 3} .0142956
{txt}{space 7}_cons {c |}{col 14}{res}{space 2}-.5489799{col 26}{space 2} .0257764{col 37}{space 1}  -21.30{col 46}{space 3}0.000{col 54}{space 4}-.5998316{col 67}{space 3}-.4981283
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{com}.                 
.         eststo e_`x'_outsideoption
{txt}
{com}.         local n_outside_`x' = string(e(N),"%9.0fc")
{txt}
{com}.         local r2_outside_`x' = string(e(r2),"%9.3fc")
{txt}
{com}.         
.         lincom treatfull + treatfull_outsideoption

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull + treatfull_outsideoption = 0{p_end}

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}e_healthou~z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}(1) {c |}{col 14}{res}{space 2}-.0354645{col 26}{space 2} .0422252{col 37}{space 1}   -0.84{col 46}{space 3}0.402{col 54}{space 4}-.1187664{col 67}{space 3} .0478374
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}.         local est_outside_`x' = r(estimate)
{txt}
{com}.         local se_outside_`x' = r(se)
{txt}
{com}.         test treatfull + treatfull_outsideoption = 0

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull + treatfull_outsideoption = 0{p_end}

{txt}       F(  1,   186) ={res}    0.71
{txt}{col 13}Prob > F ={res}    0.4020
{txt}
{com}.         local p_outside_`x' = r(p)
{txt}
{com}.         
.         local est_boutside_`x' = string(_b[treatfull],"%9.3fc")
{txt}
{com}.         local se_boutside_`x' = string(_se[treatfull],"%9.3fc")
{txt}
{com}.         local p_boutside_`x' = (2 * ttail(e(df_r), abs(_b[treatfull]/_se[treatfull])))
{txt}
{com}.         
.         local est_tmxoutside_`x' = string(_b[treatfull_outsideoption],"%9.3fc")
{txt}
{com}.         local se_tmxoutside_`x' = string(_se[treatfull_outsideoption],"%9.3fc")
{txt}
{com}.         local p_tmxoutside_`x' = (2 * ttail(e(df_r), abs(_b[treatfull_outsideoption]/_se[treatfull_outsideoption])))
{txt}
{com}.         
.         local est_smoutside_`x' = string(_b[b_h_outsideoption_z_med_d],"%9.3fc")
{txt}
{com}.         local se_smoutside_`x' = string(_se[b_h_outsideoption_z_med_d],"%9.3fc")
{txt}
{com}.         local p_smoutside_`x' = (2 * ttail(e(df_r), abs(_b[b_h_outsideoption_z_med_d]/_se[b_h_outsideoption_z_med_d])))
{txt}
{com}.         
.         local est_coutside_`x' = string(_b[_cons],"%9.3fc")
{txt}
{com}.         local se_coutside_`x' = string(_se[_cons],"%9.3fc")
{txt}
{com}.         local p_coutside_`x' = (2 * ttail(e(df_r), abs(_b[_cons]/_se[_cons])))
{txt}
{com}.         
.         foreach var in boutside tmxoutside smoutside coutside {c -(}
{txt}  2{com}.         
.                 gen sign_`var'_zero_`x' = (`p_`var'_`x''>0.1)
{txt}  3{com}.                 gen sign_`var'_p1s_`x' = (`p_`var'_`x''<=0.1 & `p_`var'_`x''>0.05 & `est_`var'_`x''>0)
{txt}  4{com}.                 gen sign_`var'_p2s_`x' = (`p_`var'_`x''<=0.05 & `p_`var'_`x''>0.01 & `est_`var'_`x''>0)
{txt}  5{com}.                 gen sign_`var'_p3s_`x' = (`p_`var'_`x''<=0.01 & `p_`var'_`x''>=0 & `est_`var'_`x''>0)
{txt}  6{com}.                 gen sign_`var'_m1s_`x' = (`p_`var'_`x''<=0.1 & `p_`var'_`x''>0.05 & `est_`var'_`x''<0)
{txt}  7{com}.                 gen sign_`var'_m2s_`x' = (`p_`var'_`x''<=0.05 & `p_`var'_`x''>0.01 & `est_`var'_`x''<0)
{txt}  8{com}.                 gen sign_`var'_m3s_`x' = (`p_`var'_`x''<=0.01 & `p_`var'_`x''>=0 & `est_`var'_`x''<0)
{txt}  9{com}.                 
.                 if sign_`var'_p1s_`x' == 1 {c -(}
{txt} 10{com}.                                 local sign_`var'_`x' = "\cellcolor[HTML]{c -(}EFEFEF{c )-}+"
{txt} 11{com}.                                 local est_`var'_`x' = "`est_`var'_`x''*"
{txt} 12{com}.                                 {c )-}
{txt} 13{com}.                                 
.                 if sign_`var'_p2s_`x' == 1 {c -(}    
{txt} 14{com}.                                 local sign_`var'_`x' = "\cellcolor[HTML]{c -(}C0C0C0{c )-}+"
{txt} 15{com}.                                 local est_`var'_`x' = "`est_`var'_`x''**"
{txt} 16{com}.                                 {c )-}
{txt} 17{com}.                                 
.                 if sign_`var'_p3s_`x' == 1 {c -(}    
{txt} 18{com}.                                 local sign_`var'_`x' = "\cellcolor[HTML]{c -(}9B9B9B{c )-}+"
{txt} 19{com}.                                 local est_`var'_`x' = "`est_`var'_`x''***"
{txt} 20{com}.                                 {c )-}
{txt} 21{com}.                         
.                 if sign_`var'_m1s_`x' == 1 {c -(}
{txt} 22{com}.                                 local sign_`var'_`x' = "\cellcolor[HTML]{c -(}EFEFEF{c )-}-"
{txt} 23{com}.                                 local est_`var'_`x' = "`est_`var'_`x''*"
{txt} 24{com}.                                 {c )-}
{txt} 25{com}.                                 
.                 if sign_`var'_m2s_`x' == 1 {c -(}    
{txt} 26{com}.                                 local sign_`var'_`x' = "\cellcolor[HTML]{c -(}C0C0C0{c )-}-"
{txt} 27{com}.                                 local est_`var'_`x' = "`est_`var'_`x''**"
{txt} 28{com}.                                 {c )-}
{txt} 29{com}.                                 
.                 if sign_`var'_m3s_`x' == 1 {c -(}    
{txt} 30{com}.                                 local sign_`var'_`x' = "\cellcolor[HTML]{c -(}9B9B9B{c )-}-"
{txt} 31{com}.                                 local est_`var'_`x' = "`est_`var'_`x''***"
{txt} 32{com}.                                 {c )-}
{txt} 33{com}.                         
.                 if sign_`var'_zero_`x' == 1 {c -(}
{txt} 34{com}.                         local sign_`var'_`x' = "0"
{txt} 35{com}.                         {c )-}
{txt} 36{com}.                         
.                 {c )-}
{txt}
{com}.         
.         gen sign_outside_zero_`x' = (`p_outside_`x''>0.1)
{txt}
{com}.         gen sign_outside_p1s_`x' = (`p_outside_`x''<=0.1 & `p_outside_`x''>0.05 & `est_outside_`x''>0)
{txt}
{com}.         gen sign_outside_p2s_`x' = (`p_outside_`x''<=0.05 & `p_outside_`x''>0.01 & `est_outside_`x''>0)
{txt}
{com}.         gen sign_outside_p3s_`x' = (`p_outside_`x''<=0.01 & `p_outside_`x''>=0 & `est_outside_`x''>0)
{txt}
{com}.         gen sign_outside_m1s_`x' = (`p_outside_`x''<=0.1 & `p_outside_`x''>0.05 & `est_outside_`x''<0)
{txt}
{com}.         gen sign_outside_m2s_`x' = (`p_outside_`x''<=0.05 & `p_outside_`x''>0.01 & `est_outside_`x''<0)
{txt}
{com}.         gen sign_outside_m3s_`x' = (`p_outside_`x''<=0.01 & `p_outside_`x''>=0 & `est_outside_`x''<0)
{txt}
{com}.         
.         local p_outside_`x' = string(`p_outside_`x'',"%9.3fc")
{txt}
{com}.         local est_outside_`x' = string(`est_outside_`x'',"%9.3fc")
{txt}
{com}.         local se_outside_`x' = string(`se_outside_`x'',"%9.3fc")
{txt}
{com}.         
.         if sign_outside_p1s_`x' == 1 {c -(}
.                         local sign_outside_`x' = "\cellcolor[HTML]{c -(}EFEFEF{c )-}+"
.                         local est_outside_`x' = "`est_outside_`x''*"
.                         {c )-}
{txt}
{com}.                         
.         if sign_outside_p2s_`x' == 1 {c -(}  
.                         local sign_outside_`x' = "\cellcolor[HTML]{c -(}C0C0C0{c )-}+"
.                         local est_outside_`x' = "`est_outside_`x''**"
.                         {c )-}
{txt}
{com}.                         
.         if sign_outside_p3s_`x' == 1 {c -(}  
.                         local sign_outside_`x' = "\cellcolor[HTML]{c -(}9B9B9B{c )-}+"
.                         local est_outside_`x' = "`est_outside_`x''***"
.                         {c )-}
{txt}
{com}.                 
.         if sign_outside_m1s_`x' == 1 {c -(}
.                         local sign_outside_`x' = "\cellcolor[HTML]{c -(}EFEFEF{c )-}-"
.                         local est_outside_`x' = "`est_outside_`x''*"
.                         {c )-}
{txt}
{com}.                         
.         if sign_outside_m2s_`x' == 1 {c -(}  
.                         local sign_outside_`x' = "\cellcolor[HTML]{c -(}C0C0C0{c )-}-"
.                         local est_outside_`x' = "`est_outside_`x''**"
.                         {c )-}
{txt}
{com}.                         
.         if sign_outside_m3s_`x' == 1 {c -(}  
.                         local sign_outside_`x' = "\cellcolor[HTML]{c -(}9B9B9B{c )-}-"
.                         local est_outside_`x' = "`est_outside_`x''***"
.                         {c )-}
{txt}
{com}.                 
.         if sign_outside_zero_`x' == 1 {c -(}
.                 local sign_outside_`x' = "0"
.                 {c )-}
{txt}
{com}.         
.         drop sign_*
{txt}
{com}.                 
.                 
.         * Subgroup Effects: Embededness Index
.         
.         local x healthout_z
{txt}
{com}.         
.         areg e_`x' treatfull treatfull_embededness b_h_embed_index_z_med_d b_`x' b_`x'_d `e_controls_tfull' `treatfull_int_e_controls', robust cl(hc_id) a(district)

{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}     4,930
{txt}{col 49}F({res}  11{txt},{res}    186{txt}){col 67}= {res}     64.65
{txt}{col 49}Prob > F{col 67}= {res}    0.0000
{txt}{col 49}R-squared{col 67}= {res}    0.1114
{txt}{col 49}Adj R-squared{col 67}= {res}    0.1067
{txt}{col 49}Root MSE{col 67}= {res}    0.8984

{txt}{ralign 78:(Std. Err. adjusted for {res:187} clusters in hc_id)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}e_healthou~z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2} .0208639{col 26}{space 2} .0383226{col 37}{space 1}    0.54{col 46}{space 3}0.587{col 54}{space 4} -.054739{col 67}{space 3} .0964667
{txt}treatfull_~s {c |}{col 14}{res}{space 2}-.0495575{col 26}{space 2} .0553961{col 37}{space 1}   -0.89{col 46}{space 3}0.372{col 54}{space 4}-.1588429{col 67}{space 3} .0597278
{txt}b_h_embed_~d {c |}{col 14}{res}{space 2} .0401608{col 26}{space 2} .0406962{col 37}{space 1}    0.99{col 46}{space 3}0.325{col 54}{space 4}-.0401246{col 67}{space 3} .1204463
{txt}b_healthou~z {c |}{col 14}{res}{space 2} .1317235{col 26}{space 2} .0156498{col 37}{space 1}    8.42{col 46}{space 3}0.000{col 54}{space 4} .1008495{col 67}{space 3} .1625974
{txt}b_healthou~d {c |}{col 14}{res}{space 2} .6765937{col 26}{space 2} .0267627{col 37}{space 1}   25.28{col 46}{space 3}0.000{col 54}{space 4} .6237963{col 67}{space 3} .7293912
{txt}c_tfull_b_~d {c |}{col 14}{res}{space 2} .0656976{col 26}{space 2} .0867042{col 37}{space 1}    0.76{col 46}{space 3}0.450{col 54}{space 4}-.1053525{col 67}{space 3} .2367477
{txt}c_tfull_ed~r {c |}{col 14}{res}{space 2} .0096311{col 26}{space 2} .0054448{col 37}{space 1}    1.77{col 46}{space 3}0.079{col 54}{space 4}-.0011104{col 67}{space 3} .0203727
{txt}c_tfull_b_~x {c |}{col 14}{res}{space 2} .0667141{col 26}{space 2} .0244987{col 37}{space 1}    2.72{col 46}{space 3}0.007{col 54}{space 4}  .018383{col 67}{space 3} .1150452
{txt}c_treatful.. {c |}{col 14}{res}{space 2}-.0905782{col 26}{space 2} .1063593{col 37}{space 1}   -0.85{col 46}{space 3}0.396{col 54}{space 4}-.3004038{col 67}{space 3} .1192474
{txt}c_treatful.. {c |}{col 14}{res}{space 2} .0000458{col 26}{space 2} .0066991{col 37}{space 1}    0.01{col 46}{space 3}0.995{col 54}{space 4}-.0131701{col 67}{space 3} .0132617
{txt}c_treatful.. {c |}{col 14}{res}{space 2}-.0460705{col 26}{space 2} .0294302{col 37}{space 1}   -1.57{col 46}{space 3}0.119{col 54}{space 4}-.1041304{col 67}{space 3} .0119895
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} -.530948{col 26}{space 2} .0314153{col 37}{space 1}  -16.90{col 46}{space 3}0.000{col 54}{space 4}-.5929241{col 67}{space 3}-.4689719
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{com}.                 
.         eststo e_`x'_embededness
{txt}
{com}.         local n_embed_`x' = string(e(N),"%9.0fc")
{txt}
{com}.         local r2_embed_`x' = string(e(r2),"%9.3fc")
{txt}
{com}.         
.         lincom treatfull + treatfull_embededness

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull + treatfull_embededness = 0{p_end}

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}e_healthou~z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}(1) {c |}{col 14}{res}{space 2}-.0286937{col 26}{space 2} .0395318{col 37}{space 1}   -0.73{col 46}{space 3}0.469{col 54}{space 4}-.1066821{col 67}{space 3} .0492947
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}.         local est_embed_`x' = r(estimate)
{txt}
{com}.         local se_embed_`x' = r(se)
{txt}
{com}.         test treatfull + treatfull_embededness = 0

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull + treatfull_embededness = 0{p_end}

{txt}       F(  1,   186) ={res}    0.53
{txt}{col 13}Prob > F ={res}    0.4689
{txt}
{com}.         local p_embed_`x' = r(p)
{txt}
{com}.         
.         local est_bembed_`x' = string(_b[treatfull],"%9.3fc")
{txt}
{com}.         local se_bembed_`x' = string(_se[treatfull],"%9.3fc")
{txt}
{com}.         local p_bembed_`x' = (2 * ttail(e(df_r), abs(_b[treatfull]/_se[treatfull])))
{txt}
{com}.         
.         local est_tmxembed_`x' = string(_b[treatfull_embededness],"%9.3fc")
{txt}
{com}.         local se_tmxembed_`x' = string(_se[treatfull_embededness],"%9.3fc")
{txt}
{com}.         local p_tmxembed_`x' = (2 * ttail(e(df_r), abs(_b[treatfull_embededness]/_se[treatfull_embededness])))
{txt}
{com}.         
.         local est_smembed_`x' = string(_b[b_h_embed_index_z_med_d],"%9.3fc")
{txt}
{com}.         local se_smembed_`x' = string(_se[b_h_embed_index_z_med_d],"%9.3fc")
{txt}
{com}.         local p_smembed_`x' = (2 * ttail(e(df_r), abs(_b[b_h_embed_index_z_med_d]/_se[b_h_embed_index_z_med_d])))
{txt}
{com}.         
.         local est_cembed_`x' = string(_b[_cons],"%9.3fc")
{txt}
{com}.         local se_cembed_`x' = string(_se[_cons],"%9.3fc")
{txt}
{com}.         local p_cembed_`x' = (2 * ttail(e(df_r), abs(_b[_cons]/_se[_cons])))
{txt}
{com}.         
.         foreach var in bembed tmxembed smembed cembed {c -(}
{txt}  2{com}.                 
.                 gen sign_`var'_zero_`x' = (`p_`var'_`x''>0.1)
{txt}  3{com}.                 gen sign_`var'_p1s_`x' = (`p_`var'_`x''<=0.1 & `p_`var'_`x''>0.05 & `est_`var'_`x''>0)
{txt}  4{com}.                 gen sign_`var'_p2s_`x' = (`p_`var'_`x''<=0.05 & `p_`var'_`x''>0.01 & `est_`var'_`x''>0)
{txt}  5{com}.                 gen sign_`var'_p3s_`x' = (`p_`var'_`x''<=0.01 & `p_`var'_`x''>=0 & `est_`var'_`x''>0)
{txt}  6{com}.                 gen sign_`var'_m1s_`x' = (`p_`var'_`x''<=0.1 & `p_`var'_`x''>0.05 & `est_`var'_`x''<0)
{txt}  7{com}.                 gen sign_`var'_m2s_`x' = (`p_`var'_`x''<=0.05 & `p_`var'_`x''>0.01 & `est_`var'_`x''<0)
{txt}  8{com}.                 gen sign_`var'_m3s_`x' = (`p_`var'_`x''<=0.01 & `p_`var'_`x''>=0 & `est_`var'_`x''<0)
{txt}  9{com}.                 
.                 if sign_`var'_p1s_`x' == 1 {c -(}
{txt} 10{com}.                                 local sign_`var'_`x' = "\cellcolor[HTML]{c -(}EFEFEF{c )-}+"
{txt} 11{com}.                                 local est_`var'_`x' = "`est_`var'_`x''*"
{txt} 12{com}.                                 {c )-}
{txt} 13{com}.                                 
.                 if sign_`var'_p2s_`x' == 1 {c -(}    
{txt} 14{com}.                                 local sign_`var'_`x' = "\cellcolor[HTML]{c -(}C0C0C0{c )-}+"
{txt} 15{com}.                                 local est_`var'_`x' = "`est_`var'_`x''**"
{txt} 16{com}.                                 {c )-}
{txt} 17{com}.                                 
.                 if sign_`var'_p3s_`x' == 1 {c -(}    
{txt} 18{com}.                                 local sign_`var'_`x' = "\cellcolor[HTML]{c -(}9B9B9B{c )-}+"
{txt} 19{com}.                                 local est_`var'_`x' = "`est_`var'_`x''***"
{txt} 20{com}.                                 {c )-}
{txt} 21{com}.                         
.                 if sign_`var'_m1s_`x' == 1 {c -(}
{txt} 22{com}.                                 local sign_`var'_`x' = "\cellcolor[HTML]{c -(}EFEFEF{c )-}-"
{txt} 23{com}.                                 local est_`var'_`x' = "`est_`var'_`x''*"
{txt} 24{com}.                                 {c )-}
{txt} 25{com}.                                 
.                 if sign_`var'_m2s_`x' == 1 {c -(}    
{txt} 26{com}.                                 local sign_`var'_`x' = "\cellcolor[HTML]{c -(}C0C0C0{c )-}-"
{txt} 27{com}.                                 local est_`var'_`x' = "`est_`var'_`x''**"
{txt} 28{com}.                                 {c )-}
{txt} 29{com}.                                 
.                 if sign_`var'_m3s_`x' == 1 {c -(}    
{txt} 30{com}.                                 local sign_`var'_`x' = "\cellcolor[HTML]{c -(}9B9B9B{c )-}-"
{txt} 31{com}.                                 local est_`var'_`x' = "`est_`var'_`x''***"
{txt} 32{com}.                                 {c )-}
{txt} 33{com}.                         
.                 if sign_`var'_zero_`x' == 1 {c -(}
{txt} 34{com}.                         local sign_`var'_`x' = "0"
{txt} 35{com}.                         {c )-}
{txt} 36{com}.                         
.                 {c )-}
{txt}
{com}.                         
.         gen sign_embed_zero_`x' = (`p_embed_`x''>0.1)
{txt}
{com}.         gen sign_embed_p1s_`x' = (`p_embed_`x''<=0.1 & `p_embed_`x''>0.05 & `est_embed_`x''>0)
{txt}
{com}.         gen sign_embed_p2s_`x' = (`p_embed_`x''<=0.05 & `p_embed_`x''>0.01 & `est_embed_`x''>0)
{txt}
{com}.         gen sign_embed_p3s_`x' = (`p_embed_`x''<=0.01 & `p_embed_`x''>=0 & `est_embed_`x''>0)
{txt}
{com}.         gen sign_embed_m1s_`x' = (`p_embed_`x''<=0.1 & `p_embed_`x''>0.05 & `est_embed_`x''<0)
{txt}
{com}.         gen sign_embed_m2s_`x' = (`p_embed_`x''<=0.05 & `p_embed_`x''>0.01 & `est_embed_`x''<0)
{txt}
{com}.         gen sign_embed_m3s_`x' = (`p_embed_`x''<=0.01 & `p_embed_`x''>=0 & `est_embed_`x''<0)
{txt}
{com}.         
.         local p_embed_`x' = string(`p_embed_`x'',"%9.3fc")
{txt}
{com}.         local est_embed_`x' = string(`est_embed_`x'',"%9.3fc")
{txt}
{com}.         local se_embed_`x' = string(`se_embed_`x'',"%9.3fc")
{txt}
{com}.         
.         if sign_embed_p1s_`x' == 1 {c -(}
.                         local sign_embed_`x' = "\cellcolor[HTML]{c -(}EFEFEF{c )-}+"
.                         local est_embed_`x' = "`est_embed_`x''*"
.                         {c )-}
{txt}
{com}.                         
.         if sign_embed_p2s_`x' == 1 {c -(}    
.                         local sign_embed_`x' = "\cellcolor[HTML]{c -(}C0C0C0{c )-}+"
.                         local est_embed_`x' = "`est_embed_`x''**"
.                         {c )-}
{txt}
{com}.                         
.         if sign_embed_p3s_`x' == 1 {c -(}    
.                         local sign_embed_`x' = "\cellcolor[HTML]{c -(}9B9B9B{c )-}+"
.                         local est_embed_`x' = "`est_embed_`x''***"
.                         {c )-}
{txt}
{com}.                 
.         if sign_embed_m1s_`x' == 1 {c -(}
.                         local sign_embed_`x' = "\cellcolor[HTML]{c -(}EFEFEF{c )-}-"
.                         local est_embed_`x' = "`est_embed_`x''*"
.                         {c )-}
{txt}
{com}.                         
.         if sign_embed_m2s_`x' == 1 {c -(}    
.                         local sign_embed_`x' = "\cellcolor[HTML]{c -(}C0C0C0{c )-}-"
.                         local est_embed_`x' = "`est_embed_`x''**"
.                         {c )-}
{txt}
{com}.                         
.         if sign_embed_m3s_`x' == 1 {c -(}    
.                         local sign_embed_`x' = "\cellcolor[HTML]{c -(}9B9B9B{c )-}-"
.                         local est_embed_`x' = "`est_embed_`x''***"
.                         {c )-}
{txt}
{com}.                 
.         if sign_embed_zero_`x' == 1 {c -(}
.                 local sign_embed_`x' = "0"
.                 {c )-}
{txt}
{com}.         
.         drop sign_*
{txt}
{com}.                 
.         * Subgroup Effects: Collective Action Potential
.         
.         local x healthout_z
{txt}
{com}. 
.         areg e_`x' treatfull treatfull_capotential b_capotential_z_med_d b_`x' b_`x'_d `e_controls_tfull' `treatfull_int_e_controls', robust cl(hc_id) a(district)

{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}     4,930
{txt}{col 49}F({res}  11{txt},{res}    186{txt}){col 67}= {res}     63.43
{txt}{col 49}Prob > F{col 67}= {res}    0.0000
{txt}{col 49}R-squared{col 67}= {res}    0.1119
{txt}{col 49}Adj R-squared{col 67}= {res}    0.1072
{txt}{col 49}Root MSE{col 67}= {res}    0.8981

{txt}{ralign 78:(Std. Err. adjusted for {res:187} clusters in hc_id)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}e_healthou~z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2} .0407137{col 26}{space 2}  .044709{col 37}{space 1}    0.91{col 46}{space 3}0.364{col 54}{space 4}-.0474883{col 67}{space 3} .1289156
{txt}treatful~ial {c |}{col 14}{res}{space 2} -.074671{col 26}{space 2} .0606623{col 37}{space 1}   -1.23{col 46}{space 3}0.220{col 54}{space 4}-.1943456{col 67}{space 3} .0450037
{txt}b_capotent~d {c |}{col 14}{res}{space 2} .0789577{col 26}{space 2} .0443123{col 37}{space 1}    1.78{col 46}{space 3}0.076{col 54}{space 4}-.0084616{col 67}{space 3} .1663771
{txt}b_healthou~z {c |}{col 14}{res}{space 2} .1296545{col 26}{space 2} .0155909{col 37}{space 1}    8.32{col 46}{space 3}0.000{col 54}{space 4} .0988967{col 67}{space 3} .1604122
{txt}b_healthou~d {c |}{col 14}{res}{space 2} .6745187{col 26}{space 2} .0264859{col 37}{space 1}   25.47{col 46}{space 3}0.000{col 54}{space 4} .6222673{col 67}{space 3}   .72677
{txt}c_tfull_b_~d {c |}{col 14}{res}{space 2} .0631177{col 26}{space 2} .0877394{col 37}{space 1}    0.72{col 46}{space 3}0.473{col 54}{space 4}-.1099746{col 67}{space 3} .2362101
{txt}c_tfull_ed~r {c |}{col 14}{res}{space 2} .0093518{col 26}{space 2} .0054854{col 37}{space 1}    1.70{col 46}{space 3}0.090{col 54}{space 4}-.0014698{col 67}{space 3} .0201734
{txt}c_tfull_b_~x {c |}{col 14}{res}{space 2} .0705941{col 26}{space 2} .0250402{col 37}{space 1}    2.82{col 46}{space 3}0.005{col 54}{space 4} .0211947{col 67}{space 3} .1199935
{txt}c_treatful.. {c |}{col 14}{res}{space 2} -.089388{col 26}{space 2} .1074434{col 37}{space 1}   -0.83{col 46}{space 3}0.407{col 54}{space 4}-.3013523{col 67}{space 3} .1225762
{txt}c_treatful.. {c |}{col 14}{res}{space 2} .0001585{col 26}{space 2}  .006703{col 37}{space 1}    0.02{col 46}{space 3}0.981{col 54}{space 4}-.0130651{col 67}{space 3} .0133821
{txt}c_treatful.. {c |}{col 14}{res}{space 2} -.048737{col 26}{space 2} .0298899{col 37}{space 1}   -1.63{col 46}{space 3}0.105{col 54}{space 4}-.1077038{col 67}{space 3} .0102297
{txt}{space 7}_cons {c |}{col 14}{res}{space 2}-.5557738{col 26}{space 2} .0324142{col 37}{space 1}  -17.15{col 46}{space 3}0.000{col 54}{space 4}-.6197205{col 67}{space 3}-.4918272
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{com}.                 
.         eststo e_`x'_cap
{txt}
{com}.         local n_cap_`x' = string(e(N),"%9.0fc")
{txt}
{com}.         local r2_cap_`x' = string(e(r2),"%9.3fc")
{txt}
{com}.         
.         lincom treatfull + treatfull_capotential

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull + treatfull_capotential = 0{p_end}

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}e_healthou~z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}(1) {c |}{col 14}{res}{space 2}-.0339573{col 26}{space 2} .0371349{col 37}{space 1}   -0.91{col 46}{space 3}0.362{col 54}{space 4}-.1072171{col 67}{space 3} .0393025
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}.         local est_cap_`x' = r(estimate)
{txt}
{com}.         local se_cap_`x' = r(se)
{txt}
{com}.         test treatfull + treatfull_capotential = 0

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull + treatfull_capotential = 0{p_end}

{txt}       F(  1,   186) ={res}    0.84
{txt}{col 13}Prob > F ={res}    0.3617
{txt}
{com}.         local p_cap_`x' = r(p)
{txt}
{com}.         
.         local est_bcap_`x' = string(_b[treatfull],"%9.3fc")
{txt}
{com}.         local se_bcap_`x' = string(_se[treatfull],"%9.3fc")
{txt}
{com}.         local p_bcap_`x' = (2 * ttail(e(df_r), abs(_b[treatfull]/_se[treatfull])))
{txt}
{com}.         
.         local est_tmxcap_`x' = string(_b[treatfull_capotential],"%9.3fc")
{txt}
{com}.         local se_tmxcap_`x' = string(_se[treatfull_capotential],"%9.3fc")
{txt}
{com}.         local p_tmxcap_`x' = (2 * ttail(e(df_r), abs(_b[treatfull_capotential]/_se[treatfull_capotential])))
{txt}
{com}.         
.         local est_smcap_`x' = string(_b[b_capotential_z_med_d],"%9.3fc")
{txt}
{com}.         local se_smcap_`x' = string(_se[b_capotential_z_med_d],"%9.3fc")
{txt}
{com}.         local p_smcap_`x' = (2 * ttail(e(df_r), abs(_b[b_capotential_z_med_d]/_se[b_capotential_z_med_d])))
{txt}
{com}.         
.         local est_ccap_`x' = string(_b[_cons],"%9.3fc")
{txt}
{com}.         local se_ccap_`x' = string(_se[_cons],"%9.3fc")
{txt}
{com}.         local p_ccap_`x' = (2 * ttail(e(df_r), abs(_b[_cons]/_se[_cons])))
{txt}
{com}.         
.         foreach var in bcap tmxcap smcap ccap {c -(}
{txt}  2{com}.         
.                 gen sign_`var'_zero_`x' = (`p_`var'_`x''>0.1)
{txt}  3{com}.                 gen sign_`var'_p1s_`x' = (`p_`var'_`x''<=0.1 & `p_`var'_`x''>0.05 & `est_`var'_`x''>0)
{txt}  4{com}.                 gen sign_`var'_p2s_`x' = (`p_`var'_`x''<=0.05 & `p_`var'_`x''>0.01 & `est_`var'_`x''>0)
{txt}  5{com}.                 gen sign_`var'_p3s_`x' = (`p_`var'_`x''<=0.01 & `p_`var'_`x''>=0 & `est_`var'_`x''>0)
{txt}  6{com}.                 gen sign_`var'_m1s_`x' = (`p_`var'_`x''<=0.1 & `p_`var'_`x''>0.05 & `est_`var'_`x''<0)
{txt}  7{com}.                 gen sign_`var'_m2s_`x' = (`p_`var'_`x''<=0.05 & `p_`var'_`x''>0.01 & `est_`var'_`x''<0)
{txt}  8{com}.                 gen sign_`var'_m3s_`x' = (`p_`var'_`x''<=0.01 & `p_`var'_`x''>=0 & `est_`var'_`x''<0)
{txt}  9{com}.                 
.                 if sign_`var'_p1s_`x' == 1 {c -(}
{txt} 10{com}.                                 local sign_`var'_`x' = "\cellcolor[HTML]{c -(}EFEFEF{c )-}+"
{txt} 11{com}.                                 local est_`var'_`x' = "`est_`var'_`x''*"
{txt} 12{com}.                                 {c )-}
{txt} 13{com}.                                 
.                 if sign_`var'_p2s_`x' == 1 {c -(}    
{txt} 14{com}.                                 local sign_`var'_`x' = "\cellcolor[HTML]{c -(}C0C0C0{c )-}+"
{txt} 15{com}.                                 local est_`var'_`x' = "`est_`var'_`x''**"
{txt} 16{com}.                                 {c )-}
{txt} 17{com}.                                 
.                 if sign_`var'_p3s_`x' == 1 {c -(}    
{txt} 18{com}.                                 local sign_`var'_`x' = "\cellcolor[HTML]{c -(}9B9B9B{c )-}+"
{txt} 19{com}.                                 local est_`var'_`x' = "`est_`var'_`x''***"
{txt} 20{com}.                                 {c )-}
{txt} 21{com}.                         
.                 if sign_`var'_m1s_`x' == 1 {c -(}
{txt} 22{com}.                                 local sign_`var'_`x' = "\cellcolor[HTML]{c -(}EFEFEF{c )-}-"
{txt} 23{com}.                                 local est_`var'_`x' = "`est_`var'_`x''*"
{txt} 24{com}.                                 {c )-}
{txt} 25{com}.                                 
.                 if sign_`var'_m2s_`x' == 1 {c -(}    
{txt} 26{com}.                                 local sign_`var'_`x' = "\cellcolor[HTML]{c -(}C0C0C0{c )-}-"
{txt} 27{com}.                                 local est_`var'_`x' = "`est_`var'_`x''**"
{txt} 28{com}.                                 {c )-}
{txt} 29{com}.                                 
.                 if sign_`var'_m3s_`x' == 1 {c -(}    
{txt} 30{com}.                                 local sign_`var'_`x' = "\cellcolor[HTML]{c -(}9B9B9B{c )-}-"
{txt} 31{com}.                                 local est_`var'_`x' = "`est_`var'_`x''***"
{txt} 32{com}.                                 {c )-}
{txt} 33{com}.                         
.                 if sign_`var'_zero_`x' == 1 {c -(}
{txt} 34{com}.                         local sign_`var'_`x' = "0"
{txt} 35{com}.                         {c )-}
{txt} 36{com}.                         
.                 {c )-}
{txt}
{com}.                 
.         gen sign_cap_zero_`x' = (`p_cap_`x''>0.1)
{txt}
{com}.         gen sign_cap_p1s_`x' = (`p_cap_`x''<=0.1 & `p_cap_`x''>0.05 & `est_cap_`x''>0)
{txt}
{com}.         gen sign_cap_p2s_`x' = (`p_cap_`x''<=0.05 & `p_cap_`x''>0.01 & `est_cap_`x''>0)
{txt}
{com}.         gen sign_cap_p3s_`x' = (`p_cap_`x''<=0.01 & `p_cap_`x''>=0 & `est_cap_`x''>0)
{txt}
{com}.         gen sign_cap_m1s_`x' = (`p_cap_`x''<=0.1 & `p_cap_`x''>0.05 & `est_cap_`x''<0)
{txt}
{com}.         gen sign_cap_m2s_`x' = (`p_cap_`x''<=0.05 & `p_cap_`x''>0.01 & `est_cap_`x''<0)
{txt}
{com}.         gen sign_cap_m3s_`x' = (`p_cap_`x''<=0.01 & `p_cap_`x''>=0 & `est_cap_`x''<0)
{txt}
{com}.         
.         local p_cap_`x' = string(`p_cap_`x'',"%9.3fc")
{txt}
{com}.         local est_cap_`x' = string(`est_cap_`x'',"%9.3fc")
{txt}
{com}.         local se_cap_`x' = string(`se_cap_`x'',"%9.3fc")
{txt}
{com}.         
.         if sign_cap_p1s_`x' == 1 {c -(}
.                         local sign_cap_`x' = "\cellcolor[HTML]{c -(}EFEFEF{c )-}+"
.                         local est_cap_`x' = "`est_cap_`x''*"
.                         {c )-}
{txt}
{com}.                         
.         if sign_cap_p2s_`x' == 1 {c -(}      
.                         local sign_cap_`x' = "\cellcolor[HTML]{c -(}C0C0C0{c )-}+"
.                         local est_cap_`x' = "`est_cap_`x''**"
.                         {c )-}
{txt}
{com}.                         
.         if sign_cap_p3s_`x' == 1 {c -(}      
.                         local sign_cap_`x' = "\cellcolor[HTML]{c -(}9B9B9B{c )-}+"
.                         local est_cap_`x' = "`est_cap_`x''***"
.                         {c )-}
{txt}
{com}.                 
.         if sign_cap_m1s_`x' == 1 {c -(}
.                         local sign_cap_`x' = "\cellcolor[HTML]{c -(}EFEFEF{c )-}-"
.                         local est_cap_`x' = "`est_cap_`x''*"
.                         {c )-}
{txt}
{com}.                         
.         if sign_cap_m2s_`x' == 1 {c -(}      
.                         local sign_cap_`x' = "\cellcolor[HTML]{c -(}C0C0C0{c )-}-"
.                         local est_cap_`x' = "`est_cap_`x''**"
.                         {c )-}
{txt}
{com}.                         
.         if sign_cap_m3s_`x' == 1 {c -(}      
.                         local sign_cap_`x' = "\cellcolor[HTML]{c -(}9B9B9B{c )-}-"
.                         local est_cap_`x' = "`est_cap_`x''***"
.                         {c )-}
{txt}
{com}.                 
.         if sign_cap_zero_`x' == 1 {c -(}
.                 local sign_cap_`x' = "0"
.                 {c )-}
{txt}
{com}.         
.         drop sign_*
{txt}
{com}. 
.         * Subgroup Effects: Community Monitoring
.         
.         * We local the vector of controls with HC level components
.         
.         local e_controls_noprefix hc2 b_h_del b_h_staff_houses b_visited_d educyr b_assetindex
{txt}
{com}.                 
.         foreach x in e_ {c -(}
{txt}  2{com}.                 
.                 local `x'controls
{txt}  3{com}.                 local `x'controls_hc
{txt}  4{com}.                 
.                 local `x'controls_tfull
{txt}  5{com}.                 local `x'controls_tfull_hc
{txt}  6{com}.                         
.                 {c )-}
{txt}
{com}.                 
.         foreach x in e_ {c -(}
{txt}  2{com}.                 foreach var in treatfull {c -(}
{txt}  3{com}.                 
.                         local `var'_int_`x'controls
{txt}  4{com}.                         local `var'_hc_int_`x'controls
{txt}  5{com}.                         
.                         {c )-}
{txt}  6{com}.                 {c )-}
{txt}
{com}.                                 
.         foreach var of local e_controls_noprefix {c -(}
{txt}  2{com}.                 local e_controls `e_controls' c_`var'
{txt}  3{com}.                 local e_controls_tfull `e_controls_tfull' c_tfull_`var'
{txt}  4{com}.                 
.                 local e_controls_hc `e_controls_hc' c_hc_`var'
{txt}  5{com}.                 local e_controls_tfull_hc `e_controls_tfull_hc' c_tfull_hc_`var'
{txt}  6{com}.                 {c )-}
{txt}
{com}.                         
.         foreach treat in treatfull {c -(}
{txt}  2{com}.                 foreach var of local e_controls_noprefix {c -(}
{txt}  3{com}.                 
.                         local `treat'_int_e_controls ``treat'_int_e_controls' c_`treat'_`var'
{txt}  4{com}.                         local `treat'_hc_int_e_controls ``treat'_hc_int_e_controls' c_`treat'_hc_`var'
{txt}  5{com}.                         
.                         {c )-}
{txt}  6{com}.                 {c )-}
{txt}
{com}.         local x healthout_z
{txt}
{com}.         
.         areg e_`x' treatfull treatfull_commtg b_commtg_z_med_d b_`x' b_`x'_d `e_controls_tfull' `treatfull_int_e_controls', robust cl(hc_id) a(district)

{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}     4,930
{txt}{col 49}F({res}  17{txt},{res}    186{txt}){col 67}= {res}     43.67
{txt}{col 49}Prob > F{col 67}= {res}    0.0000
{txt}{col 49}R-squared{col 67}= {res}    0.1122
{txt}{col 49}Adj R-squared{col 67}= {res}    0.1064
{txt}{col 49}Root MSE{col 67}= {res}    0.8985

{txt}{ralign 78:(Std. Err. adjusted for {res:187} clusters in hc_id)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}e_healthou~z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2} .0018459{col 26}{space 2} .0360448{col 37}{space 1}    0.05{col 46}{space 3}0.959{col 54}{space 4}-.0692632{col 67}{space 3} .0729551
{txt}treatfull_~g {c |}{col 14}{res}{space 2}-.0096281{col 26}{space 2} .0525925{col 37}{space 1}   -0.18{col 46}{space 3}0.855{col 54}{space 4}-.1133826{col 67}{space 3} .0941263
{txt}b_commtg_z~d {c |}{col 14}{res}{space 2}-.0069691{col 26}{space 2} .0409408{col 37}{space 1}   -0.17{col 46}{space 3}0.865{col 54}{space 4}-.0877371{col 67}{space 3} .0737989
{txt}b_healthou~z {c |}{col 14}{res}{space 2} .1302774{col 26}{space 2} .0155765{col 37}{space 1}    8.36{col 46}{space 3}0.000{col 54}{space 4} .0995482{col 67}{space 3} .1610067
{txt}b_healthou~d {c |}{col 14}{res}{space 2} .6770823{col 26}{space 2} .0267395{col 37}{space 1}   25.32{col 46}{space 3}0.000{col 54}{space 4} .6243307{col 67}{space 3} .7298339
{txt}{space 1}c_tfull_hc2 {c |}{col 14}{res}{space 2} .0298294{col 26}{space 2} .0539753{col 37}{space 1}    0.55{col 46}{space 3}0.581{col 54}{space 4} -.076653{col 67}{space 3} .1363118
{txt}c_tfull_b_~l {c |}{col 14}{res}{space 2}-.0144736{col 26}{space 2} .0657277{col 37}{space 1}   -0.22{col 46}{space 3}0.826{col 54}{space 4}-.1441412{col 67}{space 3} .1151939
{txt}c_tfull_b_~s {c |}{col 14}{res}{space 2}-.0120999{col 26}{space 2} .0695456{col 37}{space 1}   -0.17{col 46}{space 3}0.862{col 54}{space 4}-.1492996{col 67}{space 3} .1250997
{txt}c_tfull_b_~d {c |}{col 14}{res}{space 2} .0750467{col 26}{space 2} .0873748{col 37}{space 1}    0.86{col 46}{space 3}0.391{col 54}{space 4}-.0973263{col 67}{space 3} .2474197
{txt}c_tfull_ed~r {c |}{col 14}{res}{space 2} .0098414{col 26}{space 2} .0054476{col 37}{space 1}    1.81{col 46}{space 3}0.072{col 54}{space 4}-.0009056{col 67}{space 3} .0205884
{txt}c_tfull_b_~x {c |}{col 14}{res}{space 2} .0722332{col 26}{space 2} .0249161{col 37}{space 1}    2.90{col 46}{space 3}0.004{col 54}{space 4} .0230787{col 67}{space 3} .1213877
{txt}c_trea~l_hc2 {c |}{col 14}{res}{space 2}-.0770526{col 26}{space 2} .0679998{col 37}{space 1}   -1.13{col 46}{space 3}0.259{col 54}{space 4}-.2112026{col 67}{space 3} .0570974
{txt}c_treatful.. {c |}{col 14}{res}{space 2}-.0576814{col 26}{space 2} .0737021{col 37}{space 1}   -0.78{col 46}{space 3}0.435{col 54}{space 4}-.2030809{col 67}{space 3} .0877181
{txt}c_treatful.. {c |}{col 14}{res}{space 2} -.054976{col 26}{space 2} .0759667{col 37}{space 1}   -0.72{col 46}{space 3}0.470{col 54}{space 4}-.2048432{col 67}{space 3} .0948911
{txt}c_treatful.. {c |}{col 14}{res}{space 2}-.0863853{col 26}{space 2} .1076677{col 37}{space 1}   -0.80{col 46}{space 3}0.423{col 54}{space 4} -.298792{col 67}{space 3} .1260215
{txt}c_treatful.. {c |}{col 14}{res}{space 2}-.0003637{col 26}{space 2} .0067457{col 37}{space 1}   -0.05{col 46}{space 3}0.957{col 54}{space 4}-.0136715{col 67}{space 3} .0129441
{txt}c_treatful.. {c |}{col 14}{res}{space 2}-.0588425{col 26}{space 2} .0296055{col 37}{space 1}   -1.99{col 46}{space 3}0.048{col 54}{space 4}-.1172483{col 67}{space 3}-.0004367
{txt}{space 7}_cons {c |}{col 14}{res}{space 2}-.5064958{col 26}{space 2} .0294877{col 37}{space 1}  -17.18{col 46}{space 3}0.000{col 54}{space 4}-.5646691{col 67}{space 3}-.4483225
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{com}.                 
.         eststo e_`x'_commtg
{txt}
{com}.         local n_commtg_`x' = string(e(N),"%9.0fc")
{txt}
{com}.         local r2_commtg_`x' = string(e(r2),"%9.3fc")
{txt}
{com}.         
.         lincom treatfull + treatfull_commtg

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull + treatfull_commtg = 0{p_end}

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}e_healthou~z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}(1) {c |}{col 14}{res}{space 2}-.0077822{col 26}{space 2} .0389974{col 37}{space 1}   -0.20{col 46}{space 3}0.842{col 54}{space 4}-.0847163{col 67}{space 3} .0691519
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}.         local est_commtg_`x' = r(estimate)
{txt}
{com}.         local se_commtg_`x' = r(se)
{txt}
{com}.         test treatfull + treatfull_commtg = 0

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull + treatfull_commtg = 0{p_end}

{txt}       F(  1,   186) ={res}    0.04
{txt}{col 13}Prob > F ={res}    0.8420
{txt}
{com}.         local p_commtg_`x' = r(p)
{txt}
{com}.         
.         local est_bcommtg_`x' = string(_b[treatfull],"%9.3fc")
{txt}
{com}.         local se_bcommtg_`x' = string(_se[treatfull],"%9.3fc")
{txt}
{com}.         local p_bcommtg_`x' = (2 * ttail(e(df_r), abs(_b[treatfull]/_se[treatfull])))
{txt}
{com}.         
.         local est_tmxcommtg_`x' = string(_b[treatfull_commtg],"%9.3fc")
{txt}
{com}.         local se_tmxcommtg_`x' = string(_se[treatfull_commtg],"%9.3fc")
{txt}
{com}.         local p_tmxcommtg_`x' = (2 * ttail(e(df_r), abs(_b[treatfull_commtg]/_se[treatfull_commtg])))
{txt}
{com}.         
.         local est_smcommtg_`x' = string(_b[b_commtg_z_med_d],"%9.3fc")
{txt}
{com}.         local se_smcommtg_`x' = string(_se[b_commtg_z_med_d],"%9.3fc")
{txt}
{com}.         local p_smcommtg_`x' = (2 * ttail(e(df_r), abs(_b[b_commtg_z_med_d]/_se[b_commtg_z_med_d])))
{txt}
{com}.         
.         local est_ccommtg_`x' = string(_b[_cons],"%9.3fc")
{txt}
{com}.         local se_ccommtg_`x' = string(_se[_cons],"%9.3fc")
{txt}
{com}.         local p_ccommtg_`x' = (2 * ttail(e(df_r), abs(_b[_cons]/_se[_cons])))
{txt}
{com}.         
.         foreach var in bcommtg tmxcommtg smcommtg ccommtg {c -(}
{txt}  2{com}.         
.                 gen sign_`var'_zero_`x' = (`p_`var'_`x''>0.1)
{txt}  3{com}.                 gen sign_`var'_p1s_`x' = (`p_`var'_`x''<=0.1 & `p_`var'_`x''>0.05 & `est_`var'_`x''>0)
{txt}  4{com}.                 gen sign_`var'_p2s_`x' = (`p_`var'_`x''<=0.05 & `p_`var'_`x''>0.01 & `est_`var'_`x''>0)
{txt}  5{com}.                 gen sign_`var'_p3s_`x' = (`p_`var'_`x''<=0.01 & `p_`var'_`x''>=0 & `est_`var'_`x''>0)
{txt}  6{com}.                 gen sign_`var'_m1s_`x' = (`p_`var'_`x''<=0.1 & `p_`var'_`x''>0.05 & `est_`var'_`x''<0)
{txt}  7{com}.                 gen sign_`var'_m2s_`x' = (`p_`var'_`x''<=0.05 & `p_`var'_`x''>0.01 & `est_`var'_`x''<0)
{txt}  8{com}.                 gen sign_`var'_m3s_`x' = (`p_`var'_`x''<=0.01 & `p_`var'_`x''>=0 & `est_`var'_`x''<0)
{txt}  9{com}.                 
.                 if sign_`var'_p1s_`x' == 1 {c -(}
{txt} 10{com}.                                 local sign_`var'_`x' = "\cellcolor[HTML]{c -(}EFEFEF{c )-}+"
{txt} 11{com}.                                 local est_`var'_`x' = "`est_`var'_`x''*"
{txt} 12{com}.                                 {c )-}
{txt} 13{com}.                                 
.                 if sign_`var'_p2s_`x' == 1 {c -(}    
{txt} 14{com}.                                 local sign_`var'_`x' = "\cellcolor[HTML]{c -(}C0C0C0{c )-}+"
{txt} 15{com}.                                 local est_`var'_`x' = "`est_`var'_`x''**"
{txt} 16{com}.                                 {c )-}
{txt} 17{com}.                                 
.                 if sign_`var'_p3s_`x' == 1 {c -(}    
{txt} 18{com}.                                 local sign_`var'_`x' = "\cellcolor[HTML]{c -(}9B9B9B{c )-}+"
{txt} 19{com}.                                 local est_`var'_`x' = "`est_`var'_`x''***"
{txt} 20{com}.                                 {c )-}
{txt} 21{com}.                         
.                 if sign_`var'_m1s_`x' == 1 {c -(}
{txt} 22{com}.                                 local sign_`var'_`x' = "\cellcolor[HTML]{c -(}EFEFEF{c )-}-"
{txt} 23{com}.                                 local est_`var'_`x' = "`est_`var'_`x''*"
{txt} 24{com}.                                 {c )-}
{txt} 25{com}.                                 
.                 if sign_`var'_m2s_`x' == 1 {c -(}    
{txt} 26{com}.                                 local sign_`var'_`x' = "\cellcolor[HTML]{c -(}C0C0C0{c )-}-"
{txt} 27{com}.                                 local est_`var'_`x' = "`est_`var'_`x''**"
{txt} 28{com}.                                 {c )-}
{txt} 29{com}.                                 
.                 if sign_`var'_m3s_`x' == 1 {c -(}    
{txt} 30{com}.                                 local sign_`var'_`x' = "\cellcolor[HTML]{c -(}9B9B9B{c )-}-"
{txt} 31{com}.                                 local est_`var'_`x' = "`est_`var'_`x''***"
{txt} 32{com}.                                 {c )-}
{txt} 33{com}.                         
.                 if sign_`var'_zero_`x' == 1 {c -(}
{txt} 34{com}.                         local sign_`var'_`x' = "0"
{txt} 35{com}.                         {c )-}
{txt} 36{com}.                         
.                 {c )-}
{txt}
{com}.                 
.         gen sign_commtg_zero_`x' = (`p_commtg_`x''>0.1)
{txt}
{com}.         gen sign_commtg_p1s_`x' = (`p_commtg_`x''<=0.1 & `p_commtg_`x''>0.05 & `est_commtg_`x''>0)
{txt}
{com}.         gen sign_commtg_p2s_`x' = (`p_commtg_`x''<=0.05 & `p_commtg_`x''>0.01 & `est_commtg_`x''>0)
{txt}
{com}.         gen sign_commtg_p3s_`x' = (`p_commtg_`x''<=0.01 & `p_commtg_`x''>=0 & `est_commtg_`x''>0)
{txt}
{com}.         gen sign_commtg_m1s_`x' = (`p_commtg_`x''<=0.1 & `p_commtg_`x''>0.05 & `est_commtg_`x''<0)
{txt}
{com}.         gen sign_commtg_m2s_`x' = (`p_commtg_`x''<=0.05 & `p_commtg_`x''>0.01 & `est_commtg_`x''<0)
{txt}
{com}.         gen sign_commtg_m3s_`x' = (`p_commtg_`x''<=0.01 & `p_commtg_`x''>=0 & `est_commtg_`x''<0)
{txt}
{com}.         
.         local p_commtg_`x' = string(`p_commtg_`x'',"%9.3fc")
{txt}
{com}.         local est_commtg_`x' = string(`est_commtg_`x'',"%9.3fc")
{txt}
{com}.         local se_commtg_`x' = string(`se_commtg_`x'',"%9.3fc")
{txt}
{com}.         
.         if sign_commtg_p1s_`x' == 1 {c -(}
.                         local sign_commtg_`x' = "\cellcolor[HTML]{c -(}EFEFEF{c )-}+"
.                         local est_commtg_`x' = "`est_commtg_`x''*"
.                         {c )-}
{txt}
{com}.                         
.         if sign_commtg_p2s_`x' == 1 {c -(}   
.                         local sign_commtg_`x' = "\cellcolor[HTML]{c -(}C0C0C0{c )-}+"
.                         local est_commtg_`x' = "`est_commtg_`x''**"
.                         {c )-}
{txt}
{com}.                         
.         if sign_commtg_p3s_`x' == 1 {c -(}   
.                         local sign_commtg_`x' = "\cellcolor[HTML]{c -(}9B9B9B{c )-}+"
.                         local est_commtg_`x' = "`est_commtg_`x''***"
.                         {c )-}
{txt}
{com}.                 
.         if sign_commtg_m1s_`x' == 1 {c -(}
.                         local sign_commtg_`x' = "\cellcolor[HTML]{c -(}EFEFEF{c )-}-"
.                         local est_commtg_`x' = "`est_commtg_`x''*"
.                         {c )-}
{txt}
{com}.                         
.         if sign_commtg_m2s_`x' == 1 {c -(}   
.                         local sign_commtg_`x' = "\cellcolor[HTML]{c -(}C0C0C0{c )-}-"
.                         local est_commtg_`x' = "`est_commtg_`x''**"
.                         {c )-}
{txt}
{com}.                         
.         if sign_commtg_m3s_`x' == 1 {c -(}   
.                         local sign_commtg_`x' = "\cellcolor[HTML]{c -(}9B9B9B{c )-}-"
.                         local est_commtg_`x' = "`est_commtg_`x''***"
.                         {c )-}
{txt}
{com}.                 
.         if sign_commtg_zero_`x' == 1 {c -(}
.                 local sign_commtg_`x' = "0"
.                 {c )-}
{txt}
{com}.         
.         drop sign_*
{txt}
{com}.                 
.         * Subgroup Effects: Efficacy
.         
.         * We regress the results
.         
.         local x healthout_z
{txt}
{com}.         
.         areg e_`x' treatfull treatfull_eff b_eff_z_med_d b_`x' b_`x'_d `e_controls_tfull' `treatfull_int_e_controls', robust cl(hc_id) a(district)

{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}     4,930
{txt}{col 49}F({res}  17{txt},{res}    186{txt}){col 67}= {res}     43.96
{txt}{col 49}Prob > F{col 67}= {res}    0.0000
{txt}{col 49}R-squared{col 67}= {res}    0.1129
{txt}{col 49}Adj R-squared{col 67}= {res}    0.1071
{txt}{col 49}Root MSE{col 67}= {res}    0.8981

{txt}{ralign 78:(Std. Err. adjusted for {res:187} clusters in hc_id)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}e_healthou~z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2} .0452129{col 26}{space 2} .0383676{col 37}{space 1}    1.18{col 46}{space 3}0.240{col 54}{space 4}-.0304786{col 67}{space 3} .1209044
{txt}treatfull_~f {c |}{col 14}{res}{space 2}-.1075231{col 26}{space 2} .0568418{col 37}{space 1}   -1.89{col 46}{space 3}0.060{col 54}{space 4}-.2196606{col 67}{space 3} .0046144
{txt}b_eff_z_me~d {c |}{col 14}{res}{space 2} .0469726{col 26}{space 2} .0423134{col 37}{space 1}    1.11{col 46}{space 3}0.268{col 54}{space 4}-.0365032{col 67}{space 3} .1304484
{txt}b_healthou~z {c |}{col 14}{res}{space 2} .1310365{col 26}{space 2} .0154988{col 37}{space 1}    8.45{col 46}{space 3}0.000{col 54}{space 4} .1004604{col 67}{space 3} .1616125
{txt}b_healthou~d {c |}{col 14}{res}{space 2} .6769033{col 26}{space 2} .0266683{col 37}{space 1}   25.38{col 46}{space 3}0.000{col 54}{space 4}  .624292{col 67}{space 3} .7295146
{txt}{space 1}c_tfull_hc2 {c |}{col 14}{res}{space 2} .0253923{col 26}{space 2}  .053421{col 37}{space 1}    0.48{col 46}{space 3}0.635{col 54}{space 4}-.0799966{col 67}{space 3} .1307813
{txt}c_tfull_b_~l {c |}{col 14}{res}{space 2}-.0144153{col 26}{space 2} .0657957{col 37}{space 1}   -0.22{col 46}{space 3}0.827{col 54}{space 4} -.144217{col 67}{space 3} .1153863
{txt}c_tfull_b_~s {c |}{col 14}{res}{space 2}-.0172851{col 26}{space 2} .0694874{col 37}{space 1}   -0.25{col 46}{space 3}0.804{col 54}{space 4}-.1543699{col 67}{space 3} .1197997
{txt}c_tfull_b_~d {c |}{col 14}{res}{space 2} .0787611{col 26}{space 2} .0873111{col 37}{space 1}    0.90{col 46}{space 3}0.368{col 54}{space 4}-.0934863{col 67}{space 3} .2510086
{txt}c_tfull_ed~r {c |}{col 14}{res}{space 2} .0092781{col 26}{space 2} .0054206{col 37}{space 1}    1.71{col 46}{space 3}0.089{col 54}{space 4}-.0014157{col 67}{space 3} .0199719
{txt}c_tfull_b_~x {c |}{col 14}{res}{space 2} .0708564{col 26}{space 2} .0248468{col 37}{space 1}    2.85{col 46}{space 3}0.005{col 54}{space 4} .0218388{col 67}{space 3} .1198741
{txt}c_trea~l_hc2 {c |}{col 14}{res}{space 2}-.0769916{col 26}{space 2} .0676396{col 37}{space 1}   -1.14{col 46}{space 3}0.256{col 54}{space 4}-.2104311{col 67}{space 3} .0564479
{txt}c_treatful.. {c |}{col 14}{res}{space 2}-.0594647{col 26}{space 2} .0736593{col 37}{space 1}   -0.81{col 46}{space 3}0.421{col 54}{space 4}-.2047798{col 67}{space 3} .0858503
{txt}c_treatful.. {c |}{col 14}{res}{space 2}-.0527467{col 26}{space 2} .0749357{col 37}{space 1}   -0.70{col 46}{space 3}0.482{col 54}{space 4}  -.20058{col 67}{space 3} .0950865
{txt}c_treatful.. {c |}{col 14}{res}{space 2}-.0940492{col 26}{space 2} .1075476{col 37}{space 1}   -0.87{col 46}{space 3}0.383{col 54}{space 4}-.3062191{col 67}{space 3} .1181207
{txt}c_treatful.. {c |}{col 14}{res}{space 2} .0007257{col 26}{space 2} .0067615{col 37}{space 1}    0.11{col 46}{space 3}0.915{col 54}{space 4}-.0126134{col 67}{space 3} .0140647
{txt}c_treatful.. {c |}{col 14}{res}{space 2}-.0547858{col 26}{space 2} .0294286{col 37}{space 1}   -1.86{col 46}{space 3}0.064{col 54}{space 4}-.1128425{col 67}{space 3}  .003271
{txt}{space 7}_cons {c |}{col 14}{res}{space 2}-.5325643{col 26}{space 2} .0292366{col 37}{space 1}  -18.22{col 46}{space 3}0.000{col 54}{space 4}-.5902423{col 67}{space 3}-.4748862
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{com}.                 
.         eststo e_`x'_eff
{txt}
{com}.         local n_eff_`x' = string(e(N),"%9.0fc")
{txt}
{com}.         local r2_eff_`x' = string(e(r2),"%9.3fc")
{txt}
{com}.         
.         lincom treatfull + treatfull_eff

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull + treatfull_eff = 0{p_end}

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}e_healthou~z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}(1) {c |}{col 14}{res}{space 2}-.0623102{col 26}{space 2} .0399218{col 37}{space 1}   -1.56{col 46}{space 3}0.120{col 54}{space 4}-.1410679{col 67}{space 3} .0164474
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}.         local est_eff_`x' = r(estimate)
{txt}
{com}.         local se_eff_`x' = r(se)
{txt}
{com}.         test treatfull + treatfull_eff = 0

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull + treatfull_eff = 0{p_end}

{txt}       F(  1,   186) ={res}    2.44
{txt}{col 13}Prob > F ={res}    0.1203
{txt}
{com}.         local p_eff_`x' = r(p)
{txt}
{com}.         
.         local est_beff_`x' = string(_b[treatfull],"%9.3fc")
{txt}
{com}.         local se_beff_`x' = string(_se[treatfull],"%9.3fc")
{txt}
{com}.         local p_beff_`x' = (2 * ttail(e(df_r), abs(_b[treatfull]/_se[treatfull])))
{txt}
{com}.         
.         local est_tmxeff_`x' = string(_b[treatfull_eff],"%9.3fc")
{txt}
{com}.         local se_tmxeff_`x' = string(_se[treatfull_eff],"%9.3fc")
{txt}
{com}.         local p_tmxeff_`x' = (2 * ttail(e(df_r), abs(_b[treatfull_eff]/_se[treatfull_eff])))
{txt}
{com}.         
.         local est_smeff_`x' = string(_b[b_eff_z_med_d],"%9.3fc")
{txt}
{com}.         local se_smeff_`x' = string(_se[b_eff_z_med_d],"%9.3fc")
{txt}
{com}.         local p_smeff_`x' = (2 * ttail(e(df_r), abs(_b[b_eff_z_med_d]/_se[b_eff_z_med_d])))
{txt}
{com}.         
.         local est_ceff_`x' = string(_b[_cons],"%9.3fc")
{txt}
{com}.         local se_ceff_`x' = string(_se[_cons],"%9.3fc")
{txt}
{com}.         local p_ceff_`x' = (2 * ttail(e(df_r), abs(_b[_cons]/_se[_cons])))
{txt}
{com}.         
.         foreach var in beff tmxeff smeff ceff {c -(}
{txt}  2{com}.         
.                 gen sign_`var'_zero_`x' = (`p_`var'_`x''>0.1)
{txt}  3{com}.                 gen sign_`var'_p1s_`x' = (`p_`var'_`x''<=0.1 & `p_`var'_`x''>0.05 & `est_`var'_`x''>0)
{txt}  4{com}.                 gen sign_`var'_p2s_`x' = (`p_`var'_`x''<=0.05 & `p_`var'_`x''>0.01 & `est_`var'_`x''>0)
{txt}  5{com}.                 gen sign_`var'_p3s_`x' = (`p_`var'_`x''<=0.01 & `p_`var'_`x''>=0 & `est_`var'_`x''>0)
{txt}  6{com}.                 gen sign_`var'_m1s_`x' = (`p_`var'_`x''<=0.1 & `p_`var'_`x''>0.05 & `est_`var'_`x''<0)
{txt}  7{com}.                 gen sign_`var'_m2s_`x' = (`p_`var'_`x''<=0.05 & `p_`var'_`x''>0.01 & `est_`var'_`x''<0)
{txt}  8{com}.                 gen sign_`var'_m3s_`x' = (`p_`var'_`x''<=0.01 & `p_`var'_`x''>=0 & `est_`var'_`x''<0)
{txt}  9{com}.                 
.                 if sign_`var'_p1s_`x' == 1 {c -(}
{txt} 10{com}.                                 local sign_`var'_`x' = "\cellcolor[HTML]{c -(}EFEFEF{c )-}+"
{txt} 11{com}.                                 local est_`var'_`x' = "`est_`var'_`x''*"
{txt} 12{com}.                                 {c )-}
{txt} 13{com}.                                 
.                 if sign_`var'_p2s_`x' == 1 {c -(}    
{txt} 14{com}.                                 local sign_`var'_`x' = "\cellcolor[HTML]{c -(}C0C0C0{c )-}+"
{txt} 15{com}.                                 local est_`var'_`x' = "`est_`var'_`x''**"
{txt} 16{com}.                                 {c )-}
{txt} 17{com}.                                 
.                 if sign_`var'_p3s_`x' == 1 {c -(}    
{txt} 18{com}.                                 local sign_`var'_`x' = "\cellcolor[HTML]{c -(}9B9B9B{c )-}+"
{txt} 19{com}.                                 local est_`var'_`x' = "`est_`var'_`x''***"
{txt} 20{com}.                                 {c )-}
{txt} 21{com}.                         
.                 if sign_`var'_m1s_`x' == 1 {c -(}
{txt} 22{com}.                                 local sign_`var'_`x' = "\cellcolor[HTML]{c -(}EFEFEF{c )-}-"
{txt} 23{com}.                                 local est_`var'_`x' = "`est_`var'_`x''*"
{txt} 24{com}.                                 {c )-}
{txt} 25{com}.                                 
.                 if sign_`var'_m2s_`x' == 1 {c -(}    
{txt} 26{com}.                                 local sign_`var'_`x' = "\cellcolor[HTML]{c -(}C0C0C0{c )-}-"
{txt} 27{com}.                                 local est_`var'_`x' = "`est_`var'_`x''**"
{txt} 28{com}.                                 {c )-}
{txt} 29{com}.                                 
.                 if sign_`var'_m3s_`x' == 1 {c -(}    
{txt} 30{com}.                                 local sign_`var'_`x' = "\cellcolor[HTML]{c -(}9B9B9B{c )-}-"
{txt} 31{com}.                                 local est_`var'_`x' = "`est_`var'_`x''***"
{txt} 32{com}.                                 {c )-}
{txt} 33{com}.                         
.                 if sign_`var'_zero_`x' == 1 {c -(}
{txt} 34{com}.                         local sign_`var'_`x' = "0"
{txt} 35{com}.                         {c )-}
{txt} 36{com}.                         
.                 {c )-}
{txt}
{com}.                 
.         gen sign_eff_zero_`x' = (`p_eff_`x''>0.1)
{txt}
{com}.         gen sign_eff_p1s_`x' = (`p_eff_`x''<=0.1 & `p_eff_`x''>0.05 & `est_eff_`x''>0)
{txt}
{com}.         gen sign_eff_p2s_`x' = (`p_eff_`x''<=0.05 & `p_eff_`x''>0.01 & `est_eff_`x''>0)
{txt}
{com}.         gen sign_eff_p3s_`x' = (`p_eff_`x''<=0.01 & `p_eff_`x''>=0 & `est_eff_`x''>0)
{txt}
{com}.         gen sign_eff_m1s_`x' = (`p_eff_`x''<=0.1 & `p_eff_`x''>0.05 & `est_eff_`x''<0)
{txt}
{com}.         gen sign_eff_m2s_`x' = (`p_eff_`x''<=0.05 & `p_eff_`x''>0.01 & `est_eff_`x''<0)
{txt}
{com}.         gen sign_eff_m3s_`x' = (`p_eff_`x''<=0.01 & `p_eff_`x''>=0 & `est_eff_`x''<0)
{txt}
{com}.         
.         local p_eff_`x' = string(`p_eff_`x'',"%9.3fc")
{txt}
{com}.         local est_eff_`x' = string(`est_eff_`x'',"%9.3fc")
{txt}
{com}.         local se_eff_`x' = string(`se_eff_`x'',"%9.3fc")
{txt}
{com}.         
.         if sign_eff_p1s_`x' == 1 {c -(}
.                         local sign_eff_`x' = "\cellcolor[HTML]{c -(}EFEFEF{c )-}+"
.                         local est_eff_`x' = "`est_eff_`x''*"
.                         {c )-}
{txt}
{com}.                         
.         if sign_eff_p2s_`x' == 1 {c -(}      
.                         local sign_eff_`x' = "\cellcolor[HTML]{c -(}C0C0C0{c )-}+"
.                         local est_eff_`x' = "`est_eff_`x''**"
.                         {c )-}
{txt}
{com}.                         
.         if sign_eff_p3s_`x' == 1 {c -(}      
.                         local sign_eff_`x' = "\cellcolor[HTML]{c -(}9B9B9B{c )-}+"
.                         local est_eff_`x' = "`est_eff_`x''***"
.                         {c )-}
{txt}
{com}.                 
.         if sign_eff_m1s_`x' == 1 {c -(}
.                         local sign_eff_`x' = "\cellcolor[HTML]{c -(}EFEFEF{c )-}-"
.                         local est_eff_`x' = "`est_eff_`x''*"
.                         {c )-}
{txt}
{com}.                         
.         if sign_eff_m2s_`x' == 1 {c -(}      
.                         local sign_eff_`x' = "\cellcolor[HTML]{c -(}C0C0C0{c )-}-"
.                         local est_eff_`x' = "`est_eff_`x''**"
.                         {c )-}
{txt}
{com}.                         
.         if sign_eff_m3s_`x' == 1 {c -(}      
.                         local sign_eff_`x' = "\cellcolor[HTML]{c -(}9B9B9B{c )-}-"
.                         local est_eff_`x' = "`est_eff_`x''***"
.                         {c )-}
{txt}
{com}.                 
.         if sign_eff_zero_`x' == 1 {c -(}
.                 local sign_eff_`x' = "0"
.                 {c )-}
{txt}
{com}.         
.         drop sign_*
{txt}
{com}. 
.         * Subgroup Effects: Distance to HC
.         
.         * We local the vector of control without HC level components
.         
.         local e_controls_noprefix b_visited_d educyr b_assetindex
{txt}
{com}.                 
.         foreach x in e_ {c -(}
{txt}  2{com}.                 
.                 local `x'controls
{txt}  3{com}.                 local `x'controls_tfull
{txt}  4{com}.                         
.                 {c )-}
{txt}
{com}.                 
.         foreach x in e_ {c -(}
{txt}  2{com}.                 foreach var in treatfull {c -(}
{txt}  3{com}.                         local `var'_int_`x'controls
{txt}  4{com}.                         {c )-}
{txt}  5{com}.                 {c )-}
{txt}
{com}. 
.         foreach var of local e_controls_noprefix {c -(}
{txt}  2{com}.                 local e_controls `e_controls' c_`var'
{txt}  3{com}.                 local e_controls_tfull `e_controls_tfull' c_tfull_`var'
{txt}  4{com}.                 {c )-}
{txt}
{com}.                         
.         foreach treat in treatfull {c -(}
{txt}  2{com}.                 foreach var of local e_controls_noprefix {c -(}
{txt}  3{com}.                         local `treat'_int_e_controls ``treat'_int_e_controls' c_`treat'_`var'
{txt}  4{com}.                         {c )-}
{txt}  5{com}.                 {c )-}
{txt}
{com}.         
.         * We regress the results
. 
.         local x healthout_z
{txt}
{com}.         
.         areg e_`x' treatfull treatfull_distance b_distance_hc_z_med_d b_`x' b_`x'_d `e_controls_tfull' `treatfull_int_e_controls', robust cl(hc_id) a(district)

{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}     4,930
{txt}{col 49}F({res}  11{txt},{res}    186{txt}){col 67}= {res}     62.64
{txt}{col 49}Prob > F{col 67}= {res}    0.0000
{txt}{col 49}R-squared{col 67}= {res}    0.1115
{txt}{col 49}Adj R-squared{col 67}= {res}    0.1068
{txt}{col 49}Root MSE{col 67}= {res}    0.8983

{txt}{ralign 78:(Std. Err. adjusted for {res:187} clusters in hc_id)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}e_healthou~z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2}-.0075781{col 26}{space 2} .0424834{col 37}{space 1}   -0.18{col 46}{space 3}0.859{col 54}{space 4}-.0913893{col 67}{space 3} .0762332
{txt}treatfull_~e {c |}{col 14}{res}{space 2} .0100957{col 26}{space 2}  .059066{col 37}{space 1}    0.17{col 46}{space 3}0.864{col 54}{space 4}-.1064297{col 67}{space 3} .1266211
{txt}b_distance~d {c |}{col 14}{res}{space 2}  .032533{col 26}{space 2} .0418536{col 37}{space 1}    0.78{col 46}{space 3}0.438{col 54}{space 4}-.0500358{col 67}{space 3} .1151017
{txt}b_healthou~z {c |}{col 14}{res}{space 2} .1311298{col 26}{space 2} .0153515{col 37}{space 1}    8.54{col 46}{space 3}0.000{col 54}{space 4} .1008442{col 67}{space 3} .1614153
{txt}b_healthou~d {c |}{col 14}{res}{space 2}  .677256{col 26}{space 2} .0267955{col 37}{space 1}   25.28{col 46}{space 3}0.000{col 54}{space 4} .6243938{col 67}{space 3} .7301181
{txt}c_tfull_b_~d {c |}{col 14}{res}{space 2} .0712407{col 26}{space 2} .0879418{col 37}{space 1}    0.81{col 46}{space 3}0.419{col 54}{space 4}-.1022509{col 67}{space 3} .2447323
{txt}c_tfull_ed~r {c |}{col 14}{res}{space 2} .0097355{col 26}{space 2} .0053924{col 37}{space 1}    1.81{col 46}{space 3}0.073{col 54}{space 4}-.0009027{col 67}{space 3} .0203737
{txt}c_tfull_b_~x {c |}{col 14}{res}{space 2} .0702462{col 26}{space 2} .0248583{col 37}{space 1}    2.83{col 46}{space 3}0.005{col 54}{space 4} .0212058{col 67}{space 3} .1192867
{txt}c_treatful.. {c |}{col 14}{res}{space 2}-.0890772{col 26}{space 2} .1075396{col 37}{space 1}   -0.83{col 46}{space 3}0.409{col 54}{space 4}-.3012313{col 67}{space 3}  .123077
{txt}c_treatful.. {c |}{col 14}{res}{space 2}  .000067{col 26}{space 2} .0066824{col 37}{space 1}    0.01{col 46}{space 3}0.992{col 54}{space 4} -.013116{col 67}{space 3}   .01325
{txt}c_treatful.. {c |}{col 14}{res}{space 2}-.0474493{col 26}{space 2} .0295663{col 37}{space 1}   -1.60{col 46}{space 3}0.110{col 54}{space 4}-.1057777{col 67}{space 3} .0108791
{txt}{space 7}_cons {c |}{col 14}{res}{space 2}-.5293077{col 26}{space 2} .0342309{col 37}{space 1}  -15.46{col 46}{space 3}0.000{col 54}{space 4}-.5968384{col 67}{space 3} -.461777
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{com}.         
.         eststo e_`x'_distance
{txt}
{com}.         local n_distance_`x' = string(e(N),"%9.0fc")
{txt}
{com}.         local r2_distance_`x' = string(e(r2),"%9.3fc")
{txt}
{com}.         
.         lincom treatfull + treatfull_distance

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull + treatfull_distance = 0{p_end}

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}e_healthou~z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}(1) {c |}{col 14}{res}{space 2} .0025176{col 26}{space 2} .0382549{col 37}{space 1}    0.07{col 46}{space 3}0.948{col 54}{space 4}-.0729516{col 67}{space 3} .0779869
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}.         local est_distance_`x' = r(estimate)
{txt}
{com}.         local se_distance_`x' = r(se)
{txt}
{com}.         test treatfull + treatfull_distance = 0

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull + treatfull_distance = 0{p_end}

{txt}       F(  1,   186) ={res}    0.00
{txt}{col 13}Prob > F ={res}    0.9476
{txt}
{com}.         local p_distance_`x' = r(p)
{txt}
{com}.         
.         local est_bdistance_`x' = string(_b[treatfull],"%9.3fc")
{txt}
{com}.         local se_bdistance_`x' = string(_se[treatfull],"%9.3fc")
{txt}
{com}.         local p_bdistance_`x' = (2 * ttail(e(df_r), abs(_b[treatfull]/_se[treatfull])))
{txt}
{com}.         
.         local est_tmxdist_`x' = string(_b[treatfull_distance],"%9.3fc")
{txt}
{com}.         local se_tmxdist_`x' = string(_se[treatfull_distance],"%9.3fc")
{txt}
{com}.         local p_tmxdist_`x' = (2 * ttail(e(df_r), abs(_b[treatfull_distance]/_se[treatfull_distance])))
{txt}
{com}.         
.         local est_smdist_`x' = string(_b[b_distance_hc_z_med_d],"%9.3fc")
{txt}
{com}.         local se_smdist_`x' = string(_se[b_distance_hc_z_med_d],"%9.3fc")
{txt}
{com}.         local p_smdist_`x' = (2 * ttail(e(df_r), abs(_b[b_distance_hc_z_med_d]/_se[b_distance_hc_z_med_d])))
{txt}
{com}.         
.         local est_cdist_`x' = string(_b[_cons],"%9.3fc")
{txt}
{com}.         local se_cdist_`x' = string(_se[_cons],"%9.3fc")
{txt}
{com}.         local p_cdist_`x' = (2 * ttail(e(df_r), abs(_b[_cons]/_se[_cons])))
{txt}
{com}.         
.         foreach var in bdistance tmxdist smdist cdist {c -(}
{txt}  2{com}.         
.                 gen sign_`var'_zero_`x' = (`p_`var'_`x''>0.1)
{txt}  3{com}.                 gen sign_`var'_p1s_`x' = (`p_`var'_`x''<=0.1 & `p_`var'_`x''>0.05 & `est_`var'_`x''>0)
{txt}  4{com}.                 gen sign_`var'_p2s_`x' = (`p_`var'_`x''<=0.05 & `p_`var'_`x''>0.01 & `est_`var'_`x''>0)
{txt}  5{com}.                 gen sign_`var'_p3s_`x' = (`p_`var'_`x''<=0.01 & `p_`var'_`x''>=0 & `est_`var'_`x''>0)
{txt}  6{com}.                 gen sign_`var'_m1s_`x' = (`p_`var'_`x''<=0.1 & `p_`var'_`x''>0.05 & `est_`var'_`x''<0)
{txt}  7{com}.                 gen sign_`var'_m2s_`x' = (`p_`var'_`x''<=0.05 & `p_`var'_`x''>0.01 & `est_`var'_`x''<0)
{txt}  8{com}.                 gen sign_`var'_m3s_`x' = (`p_`var'_`x''<=0.01 & `p_`var'_`x''>=0 & `est_`var'_`x''<0)
{txt}  9{com}.                 
.                 if sign_`var'_p1s_`x' == 1 {c -(}
{txt} 10{com}.                                 local sign_`var'_`x' = "\cellcolor[HTML]{c -(}EFEFEF{c )-}+"
{txt} 11{com}.                                 local est_`var'_`x' = "`est_`var'_`x''*"
{txt} 12{com}.                                 {c )-}
{txt} 13{com}.                                 
.                 if sign_`var'_p2s_`x' == 1 {c -(}    
{txt} 14{com}.                                 local sign_`var'_`x' = "\cellcolor[HTML]{c -(}C0C0C0{c )-}+"
{txt} 15{com}.                                 local est_`var'_`x' = "`est_`var'_`x''**"
{txt} 16{com}.                                 {c )-}
{txt} 17{com}.                                 
.                 if sign_`var'_p3s_`x' == 1 {c -(}    
{txt} 18{com}.                                 local sign_`var'_`x' = "\cellcolor[HTML]{c -(}9B9B9B{c )-}+"
{txt} 19{com}.                                 local est_`var'_`x' = "`est_`var'_`x''***"
{txt} 20{com}.                                 {c )-}
{txt} 21{com}.                         
.                 if sign_`var'_m1s_`x' == 1 {c -(}
{txt} 22{com}.                                 local sign_`var'_`x' = "\cellcolor[HTML]{c -(}EFEFEF{c )-}-"
{txt} 23{com}.                                 local est_`var'_`x' = "`est_`var'_`x''*"
{txt} 24{com}.                                 {c )-}
{txt} 25{com}.                                 
.                 if sign_`var'_m2s_`x' == 1 {c -(}    
{txt} 26{com}.                                 local sign_`var'_`x' = "\cellcolor[HTML]{c -(}C0C0C0{c )-}-"
{txt} 27{com}.                                 local est_`var'_`x' = "`est_`var'_`x''**"
{txt} 28{com}.                                 {c )-}
{txt} 29{com}.                                 
.                 if sign_`var'_m3s_`x' == 1 {c -(}    
{txt} 30{com}.                                 local sign_`var'_`x' = "\cellcolor[HTML]{c -(}9B9B9B{c )-}-"
{txt} 31{com}.                                 local est_`var'_`x' = "`est_`var'_`x''***"
{txt} 32{com}.                                 {c )-}
{txt} 33{com}.                         
.                 if sign_`var'_zero_`x' == 1 {c -(}
{txt} 34{com}.                         local sign_`var'_`x' = "0"
{txt} 35{com}.                         {c )-}
{txt} 36{com}.                         
.                 {c )-}
{txt}
{com}.                 
.         gen sign_distance_zero_`x' = (`p_distance_`x''>0.1)
{txt}
{com}.         gen sign_distance_p1s_`x' = (`p_distance_`x''<=0.1 & `p_distance_`x''>0.05 & `est_distance_`x''>0)
{txt}
{com}.         gen sign_distance_p2s_`x' = (`p_distance_`x''<=0.05 & `p_distance_`x''>0.01 & `est_distance_`x''>0)
{txt}
{com}.         gen sign_distance_p3s_`x' = (`p_distance_`x''<=0.01 & `p_distance_`x''>=0 & `est_distance_`x''>0)
{txt}
{com}.         gen sign_distance_m1s_`x' = (`p_distance_`x''<=0.1 & `p_distance_`x''>0.05 & `est_distance_`x''<0)
{txt}
{com}.         gen sign_distance_m2s_`x' = (`p_distance_`x''<=0.05 & `p_distance_`x''>0.01 & `est_distance_`x''<0)
{txt}
{com}.         gen sign_distance_m3s_`x' = (`p_distance_`x''<=0.01 & `p_distance_`x''>=0 & `est_distance_`x''<0)
{txt}
{com}.         
.         local p_distance_`x' = string(`p_distance_`x'',"%9.3fc")
{txt}
{com}.         local est_distance_`x' = string(`est_distance_`x'',"%9.3fc")
{txt}
{com}.         local se_distance_`x' = string(`se_distance_`x'',"%9.3fc")
{txt}
{com}.         
.         if sign_distance_p1s_`x' == 1 {c -(}
.                         local sign_distance_`x' = "\cellcolor[HTML]{c -(}EFEFEF{c )-}+"
.                         local est_distance_`x' = "`est_distance_`x''*"
.                         {c )-}
{txt}
{com}.                         
.         if sign_distance_p2s_`x' == 1 {c -(} 
.                         local sign_distance_`x' = "\cellcolor[HTML]{c -(}C0C0C0{c )-}+"
.                         local est_distance_`x' = "`est_distance_`x''**"
.                         {c )-}
{txt}
{com}.                         
.         if sign_distance_p3s_`x' == 1 {c -(} 
.                         local sign_distance_`x' = "\cellcolor[HTML]{c -(}9B9B9B{c )-}+"
.                         local est_distance_`x' = "`est_distance_`x''***"
.                         {c )-}
{txt}
{com}.                 
.         if sign_distance_m1s_`x' == 1 {c -(}
.                         local sign_distance_`x' = "\cellcolor[HTML]{c -(}EFEFEF{c )-}-"
.                         local est_distance_`x' = "`est_distance_`x''*"
.                         {c )-}
{txt}
{com}.                         
.         if sign_distance_m2s_`x' == 1 {c -(} 
.                         local sign_distance_`x' = "\cellcolor[HTML]{c -(}C0C0C0{c )-}-"
.                         local est_distance_`x' = "`est_distance_`x''**"
.                         {c )-}
{txt}
{com}.                         
.         if sign_distance_m3s_`x' == 1 {c -(} 
.                         local sign_distance_`x' = "\cellcolor[HTML]{c -(}9B9B9B{c )-}-"
.                         local est_distance_`x' = "`est_distance_`x''***"
.                         {c )-}
{txt}
{com}.                 
.         if sign_distance_zero_`x' == 1 {c -(}
.                 local sign_distance_`x' = "0"
.                 {c )-}
{txt}
{com}.         
.         drop sign_*
{txt}
{com}.                 
.         * Subgroup Effects: Urban Area
.         
.         local x healthout_z
{txt}
{com}.         
.         areg e_`x' treatfull treatfull_urbanarea b_h_urb_area b_`x' b_`x'_d `e_controls_tfull' `treatfull_int_e_controls', robust cl(hc_id) a(district)

{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}     4,930
{txt}{col 49}F({res}  11{txt},{res}    186{txt}){col 67}= {res}     61.76
{txt}{col 49}Prob > F{col 67}= {res}    0.0000
{txt}{col 49}R-squared{col 67}= {res}    0.1116
{txt}{col 49}Adj R-squared{col 67}= {res}    0.1069
{txt}{col 49}Root MSE{col 67}= {res}    0.8982

{txt}{ralign 78:(Std. Err. adjusted for {res:187} clusters in hc_id)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}e_healthou~z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2}-.0091244{col 26}{space 2} .0650417{col 37}{space 1}   -0.14{col 46}{space 3}0.889{col 54}{space 4}-.1374387{col 67}{space 3} .1191899
{txt}treatfull_~a {c |}{col 14}{res}{space 2} .0015514{col 26}{space 2} .0747322{col 37}{space 1}    0.02{col 46}{space 3}0.983{col 54}{space 4}-.1458803{col 67}{space 3}  .148983
{txt}b_h_urb_area {c |}{col 14}{res}{space 2}-.0527986{col 26}{space 2} .0545917{col 37}{space 1}   -0.97{col 46}{space 3}0.335{col 54}{space 4}-.1604971{col 67}{space 3}    .0549
{txt}b_healthou~z {c |}{col 14}{res}{space 2} .1306741{col 26}{space 2}   .01531{col 37}{space 1}    8.54{col 46}{space 3}0.000{col 54}{space 4} .1004705{col 67}{space 3} .1608777
{txt}b_healthou~d {c |}{col 14}{res}{space 2} .6768405{col 26}{space 2} .0268821{col 37}{space 1}   25.18{col 46}{space 3}0.000{col 54}{space 4} .6238075{col 67}{space 3} .7298734
{txt}c_tfull_b_~d {c |}{col 14}{res}{space 2}  .068942{col 26}{space 2} .0867162{col 37}{space 1}    0.80{col 46}{space 3}0.428{col 54}{space 4}-.1021317{col 67}{space 3} .2400158
{txt}c_tfull_ed~r {c |}{col 14}{res}{space 2}  .009203{col 26}{space 2}   .00543{col 37}{space 1}    1.69{col 46}{space 3}0.092{col 54}{space 4}-.0015093{col 67}{space 3} .0199153
{txt}c_tfull_b_~x {c |}{col 14}{res}{space 2} .0639886{col 26}{space 2}  .025235{col 37}{space 1}    2.54{col 46}{space 3}0.012{col 54}{space 4}  .014205{col 67}{space 3} .1137721
{txt}c_treatful.. {c |}{col 14}{res}{space 2}-.0902798{col 26}{space 2} .1059433{col 37}{space 1}   -0.85{col 46}{space 3}0.395{col 54}{space 4}-.2992848{col 67}{space 3} .1187252
{txt}c_treatful.. {c |}{col 14}{res}{space 2} .0002157{col 26}{space 2} .0067053{col 37}{space 1}    0.03{col 46}{space 3}0.974{col 54}{space 4}-.0130125{col 67}{space 3} .0134438
{txt}c_treatful.. {c |}{col 14}{res}{space 2}-.0465888{col 26}{space 2} .0298918{col 37}{space 1}   -1.56{col 46}{space 3}0.121{col 54}{space 4}-.1055593{col 67}{space 3} .0123818
{txt}{space 7}_cons {c |}{col 14}{res}{space 2}-.4688322{col 26}{space 2} .0487504{col 37}{space 1}   -9.62{col 46}{space 3}0.000{col 54}{space 4}-.5650071{col 67}{space 3}-.3726573
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{com}.         
.         eststo e_`x'_urbanarea
{txt}
{com}.         local n_urbanarea_`x' = string(e(N),"%9.0fc")
{txt}
{com}.         local r2_urbanarea_`x' = string(e(r2),"%9.3fc")
{txt}
{com}.         
.         lincom treatfull + treatfull_urbanarea

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull + treatfull_urbanarea = 0{p_end}

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}e_healthou~z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}(1) {c |}{col 14}{res}{space 2}-.0075731{col 26}{space 2} .0310953{col 37}{space 1}   -0.24{col 46}{space 3}0.808{col 54}{space 4} -.068918{col 67}{space 3} .0537718
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}.         local est_urbanarea_`x' = r(estimate)
{txt}
{com}.         local se_urbanarea_`x' = r(se)
{txt}
{com}.         test treatfull + treatfull_urbanarea = 0

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull + treatfull_urbanarea = 0{p_end}

{txt}       F(  1,   186) ={res}    0.06
{txt}{col 13}Prob > F ={res}    0.8079
{txt}
{com}.         local p_urbanarea_`x' = r(p)
{txt}
{com}.         
.         local est_ruralarea_`x' = string(_b[treatfull],"%9.3fc")
{txt}
{com}.         local se_ruralarea_`x' = string(_se[treatfull],"%9.3fc")
{txt}
{com}.         local p_ruralarea_`x' = (2 * ttail(e(df_r), abs(_b[treatfull]/_se[treatfull])))
{txt}
{com}.         
.         local est_tmxrural_`x' = string(_b[treatfull_urbanarea],"%9.3fc")
{txt}
{com}.         local se_tmxrural_`x' = string(_se[treatfull_urbanarea],"%9.3fc")
{txt}
{com}.         local p_tmxrural_`x' = (2 * ttail(e(df_r), abs(_b[treatfull_urbanarea]/_se[treatfull_urbanarea])))
{txt}
{com}.                 
.         local est_smrural_`x' = string(_b[b_h_urb_area],"%9.3fc")
{txt}
{com}.         local se_smrural_`x' = string(_se[b_h_urb_area],"%9.3fc")
{txt}
{com}.         local p_smrural_`x' = (2 * ttail(e(df_r), abs(_b[b_h_urb_area]/_se[b_h_urb_area])))
{txt}
{com}.         
.         local est_crural_`x' = string(_b[_cons],"%9.3fc")
{txt}
{com}.         local se_crural_`x' = string(_se[_cons],"%9.3fc")
{txt}
{com}.         local p_crural_`x' = (2 * ttail(e(df_r), abs(_b[_cons]/_se[_cons])))
{txt}
{com}.         
.         foreach var in ruralarea tmxrural smrural crural {c -(}
{txt}  2{com}.                 
.                 gen sign_`var'_zero_`x' = (`p_`var'_`x''>0.1)
{txt}  3{com}.                 gen sign_`var'_p1s_`x' = (`p_`var'_`x''<=0.1 & `p_`var'_`x''>0.05 & `est_`var'_`x''>0)
{txt}  4{com}.                 gen sign_`var'_p2s_`x' = (`p_`var'_`x''<=0.05 & `p_`var'_`x''>0.01 & `est_`var'_`x''>0)
{txt}  5{com}.                 gen sign_`var'_p3s_`x' = (`p_`var'_`x''<=0.01 & `p_`var'_`x''>=0 & `est_`var'_`x''>0)
{txt}  6{com}.                 gen sign_`var'_m1s_`x' = (`p_`var'_`x''<=0.1 & `p_`var'_`x''>0.05 & `est_`var'_`x''<0)
{txt}  7{com}.                 gen sign_`var'_m2s_`x' = (`p_`var'_`x''<=0.05 & `p_`var'_`x''>0.01 & `est_`var'_`x''<0)
{txt}  8{com}.                 gen sign_`var'_m3s_`x' = (`p_`var'_`x''<=0.01 & `p_`var'_`x''>=0 & `est_`var'_`x''<0)
{txt}  9{com}.                 
.                 if sign_`var'_p1s_`x' == 1 {c -(}
{txt} 10{com}.                                 local sign_`var'_`x' = "\cellcolor[HTML]{c -(}EFEFEF{c )-}+"
{txt} 11{com}.                                 local est_`var'_`x' = "`est_`var'_`x''*"
{txt} 12{com}.                                 {c )-}
{txt} 13{com}.                                 
.                 if sign_`var'_p2s_`x' == 1 {c -(}    
{txt} 14{com}.                                 local sign_`var'_`x' = "\cellcolor[HTML]{c -(}C0C0C0{c )-}+"
{txt} 15{com}.                                 local est_`var'_`x' = "`est_`var'_`x''**"
{txt} 16{com}.                                 {c )-}
{txt} 17{com}.                                 
.                 if sign_`var'_p3s_`x' == 1 {c -(}    
{txt} 18{com}.                                 local sign_`var'_`x' = "\cellcolor[HTML]{c -(}9B9B9B{c )-}+"
{txt} 19{com}.                                 local est_`var'_`x' = "`est_`var'_`x''***"
{txt} 20{com}.                                 {c )-}
{txt} 21{com}.                         
.                 if sign_`var'_m1s_`x' == 1 {c -(}
{txt} 22{com}.                                 local sign_`var'_`x' = "\cellcolor[HTML]{c -(}EFEFEF{c )-}-"
{txt} 23{com}.                                 local est_`var'_`x' = "`est_`var'_`x''*"
{txt} 24{com}.                                 {c )-}
{txt} 25{com}.                                 
.                 if sign_`var'_m2s_`x' == 1 {c -(}    
{txt} 26{com}.                                 local sign_`var'_`x' = "\cellcolor[HTML]{c -(}C0C0C0{c )-}-"
{txt} 27{com}.                                 local est_`var'_`x' = "`est_`var'_`x''**"
{txt} 28{com}.                                 {c )-}
{txt} 29{com}.                                 
.                 if sign_`var'_m3s_`x' == 1 {c -(}    
{txt} 30{com}.                                 local sign_`var'_`x' = "\cellcolor[HTML]{c -(}9B9B9B{c )-}-"
{txt} 31{com}.                                 local est_`var'_`x' = "`est_`var'_`x''***"
{txt} 32{com}.                                 {c )-}
{txt} 33{com}.                         
.                 if sign_`var'_zero_`x' == 1 {c -(}
{txt} 34{com}.                         local sign_`var'_`x' = "0"
{txt} 35{com}.                         {c )-}
{txt} 36{com}.                         
.                 {c )-}
{txt}
{com}.         
.         gen sign_urbanarea_zero_`x' = (`p_urbanarea_`x''>0.1)
{txt}
{com}.         gen sign_urbanarea_p1s_`x' = (`p_urbanarea_`x''<=0.1 & `p_urbanarea_`x''>0.05 & `est_urbanarea_`x''>0)
{txt}
{com}.         gen sign_urbanarea_p2s_`x' = (`p_urbanarea_`x''<=0.05 & `p_urbanarea_`x''>0.01 & `est_urbanarea_`x''>0)
{txt}
{com}.         gen sign_urbanarea_p3s_`x' = (`p_urbanarea_`x''<=0.01 & `p_urbanarea_`x''>=0 & `est_urbanarea_`x''>0)
{txt}
{com}.         gen sign_urbanarea_m1s_`x' = (`p_urbanarea_`x''<=0.1 & `p_urbanarea_`x''>0.05 & `est_urbanarea_`x''<0)
{txt}
{com}.         gen sign_urbanarea_m2s_`x' = (`p_urbanarea_`x''<=0.05 & `p_urbanarea_`x''>0.01 & `est_urbanarea_`x''<0)
{txt}
{com}.         gen sign_urbanarea_m3s_`x' = (`p_urbanarea_`x''<=0.01 & `p_urbanarea_`x''>=0 & `est_urbanarea_`x''<0)
{txt}
{com}.         
.         local p_urbanarea_`x' = string(`p_urbanarea_`x'',"%9.3fc")
{txt}
{com}.         local est_urbanarea_`x' = string(`est_urbanarea_`x'',"%9.3fc")
{txt}
{com}.         local se_urbanarea_`x' = string(`se_urbanarea_`x'',"%9.3fc")
{txt}
{com}.         
.         if sign_urbanarea_p1s_`x' == 1 {c -(}
.                         local sign_urbanarea_`x' = "\cellcolor[HTML]{c -(}EFEFEF{c )-}+"
.                         local est_urbanarea_`x' = "`est_urbanarea_`x''*"
.                         {c )-}
{txt}
{com}.                         
.         if sign_urbanarea_p2s_`x' == 1 {c -(}        
.                         local sign_urbanarea_`x' = "\cellcolor[HTML]{c -(}C0C0C0{c )-}+"
.                         local est_urbanarea_`x' = "`est_urbanarea_`x''**"
.                         {c )-}
{txt}
{com}.                         
.         if sign_urbanarea_p3s_`x' == 1 {c -(}        
.                         local sign_urbanarea_`x' = "\cellcolor[HTML]{c -(}9B9B9B{c )-}+"
.                         local est_urbanarea_`x' = "`est_urbanarea_`x''***"
.                         {c )-}
{txt}
{com}.                 
.         if sign_urbanarea_m1s_`x' == 1 {c -(}
.                         local sign_urbanarea_`x' = "\cellcolor[HTML]{c -(}EFEFEF{c )-}-"
.                         local est_urbanarea_`x' = "`est_urbanarea_`x''*"
.                         {c )-}
{txt}
{com}.                         
.         if sign_urbanarea_m2s_`x' == 1 {c -(}        
.                         local sign_urbanarea_`x' = "\cellcolor[HTML]{c -(}C0C0C0{c )-}-"
.                         local est_urbanarea_`x' = "`est_urbanarea_`x''**"
.                         {c )-}
{txt}
{com}.                         
.         if sign_urbanarea_m3s_`x' == 1 {c -(}        
.                         local sign_urbanarea_`x' = "\cellcolor[HTML]{c -(}9B9B9B{c )-}-"
.                         local est_urbanarea_`x' = "`est_urbanarea_`x''***"
.                         {c )-}
{txt}
{com}.                 
.         if sign_urbanarea_zero_`x' == 1 {c -(}
.                 local sign_urbanarea_`x' = "0"
.                 {c )-}
{txt}
{com}.         
.         drop sign_*
{txt}
{com}.         
.         * Subgroup Effects: NGO presence
.         
.         local x healthout_z
{txt}
{com}.         
.         areg e_`x' treatfull treatfull_ngo_hc b_ngo_hc b_`x' b_`x'_d `e_controls_tfull' `treatfull_int_e_controls', robust cl(hc_id) a(district)

{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}     4,086
{txt}{col 49}F({res}  11{txt},{res}    186{txt}){col 67}= {res}     62.69
{txt}{col 49}Prob > F{col 67}= {res}    0.0000
{txt}{col 49}R-squared{col 67}= {res}    0.1176
{txt}{col 49}Adj R-squared{col 67}= {res}    0.1119
{txt}{col 49}Root MSE{col 67}= {res}    0.9011

{txt}{ralign 78:(Std. Err. adjusted for {res:187} clusters in hc_id)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}e_healthou~z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2}-.0426465{col 26}{space 2} .0909902{col 37}{space 1}   -0.47{col 46}{space 3}0.640{col 54}{space 4}-.2221519{col 67}{space 3} .1368589
{txt}treatfu~o_hc {c |}{col 14}{res}{space 2} .0353534{col 26}{space 2} .0928136{col 37}{space 1}    0.38{col 46}{space 3}0.704{col 54}{space 4}-.1477492{col 67}{space 3} .2184561
{txt}{space 4}b_ngo_hc {c |}{col 14}{res}{space 2}-.0744537{col 26}{space 2} .0658638{col 37}{space 1}   -1.13{col 46}{space 3}0.260{col 54}{space 4}-.2043898{col 67}{space 3} .0554823
{txt}b_healthou~z {c |}{col 14}{res}{space 2}  .134937{col 26}{space 2} .0157891{col 37}{space 1}    8.55{col 46}{space 3}0.000{col 54}{space 4} .1037883{col 67}{space 3} .1660857
{txt}b_healthou~d {c |}{col 14}{res}{space 2} .6795292{col 26}{space 2} .0278862{col 37}{space 1}   24.37{col 46}{space 3}0.000{col 54}{space 4} .6245152{col 67}{space 3} .7345432
{txt}c_tfull_b_~d {c |}{col 14}{res}{space 2} .0806448{col 26}{space 2} .2682674{col 37}{space 1}    0.30{col 46}{space 3}0.764{col 54}{space 4}-.4485931{col 67}{space 3} .6098828
{txt}c_tfull_ed~r {c |}{col 14}{res}{space 2} .0082058{col 26}{space 2} .0061706{col 37}{space 1}    1.33{col 46}{space 3}0.185{col 54}{space 4}-.0039676{col 67}{space 3} .0203791
{txt}c_tfull_b_~x {c |}{col 14}{res}{space 2}  .067122{col 26}{space 2} .0286337{col 37}{space 1}    2.34{col 46}{space 3}0.020{col 54}{space 4} .0106334{col 67}{space 3} .1236105
{txt}c_treatful.. {c |}{col 14}{res}{space 2}-.1820035{col 26}{space 2} .4400688{col 37}{space 1}   -0.41{col 46}{space 3}0.680{col 54}{space 4}-1.050171{col 67}{space 3} .6861642
{txt}c_treatful.. {c |}{col 14}{res}{space 2} .0020563{col 26}{space 2} .0075771{col 37}{space 1}    0.27{col 46}{space 3}0.786{col 54}{space 4}-.0128918{col 67}{space 3} .0170044
{txt}c_treatful.. {c |}{col 14}{res}{space 2}-.0394561{col 26}{space 2} .0342715{col 37}{space 1}   -1.15{col 46}{space 3}0.251{col 54}{space 4}-.1070668{col 67}{space 3} .0281547
{txt}{space 7}_cons {c |}{col 14}{res}{space 2}-.4302541{col 26}{space 2}  .064052{col 37}{space 1}   -6.72{col 46}{space 3}0.000{col 54}{space 4}-.5566159{col 67}{space 3}-.3038922
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{com}.         
.         eststo e_`x'_ngo
{txt}
{com}.         local n_ngo_`x' = string(e(N),"%9.0fc")
{txt}
{com}.         local r2_ngo_`x' = string(e(r2),"%9.3fc")
{txt}
{com}.         
.         lincom treatfull + treatfull_ngo_hc

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull + treatfull_ngo_hc = 0{p_end}

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}e_healthou~z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}(1) {c |}{col 14}{res}{space 2}-.0072931{col 26}{space 2} .0428246{col 37}{space 1}   -0.17{col 46}{space 3}0.865{col 54}{space 4}-.0917774{col 67}{space 3} .0771913
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}.         local est_ngo_`x' = r(estimate)
{txt}
{com}.         local se_ngo_`x' = r(se)
{txt}
{com}.         test treatfull + treatfull_ngo_hc = 0

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull + treatfull_ngo_hc = 0{p_end}

{txt}       F(  1,   186) ={res}    0.03
{txt}{col 13}Prob > F ={res}    0.8650
{txt}
{com}.         local p_ngo_`x' = r(p)
{txt}
{com}.         
.         local est_bngo_`x' = string(_b[treatfull],"%9.3fc")
{txt}
{com}.         local se_bngo_`x' = string(_se[treatfull],"%9.3fc")
{txt}
{com}.         local p_bngo_`x' = (2 * ttail(e(df_r), abs(_b[treatfull]/_se[treatfull])))
{txt}
{com}.         
.         local est_tmxngo_`x' = string(_b[treatfull_ngo_hc],"%9.3fc")
{txt}
{com}.         local se_tmxngo_`x' = string(_se[treatfull_ngo_hc],"%9.3fc")
{txt}
{com}.         local p_tmxngo_`x' = (2 * ttail(e(df_r), abs(_b[treatfull_ngo_hc]/_se[treatfull_ngo_hc])))
{txt}
{com}.         
.         local est_smngo_`x' = string(_b[b_ngo_hc],"%9.3fc")
{txt}
{com}.         local se_smngo_`x' = string(_se[b_ngo_hc],"%9.3fc")
{txt}
{com}.         local p_smngo_`x' = (2 * ttail(e(df_r), abs(_b[b_ngo_hc]/_se[b_ngo_hc])))
{txt}
{com}.         
.         local est_cngo_`x' = string(_b[_cons],"%9.3fc")
{txt}
{com}.         local se_cngo_`x' = string(_se[_cons],"%9.3fc")
{txt}
{com}.         local p_cngo_`x' = (2 * ttail(e(df_r), abs(_b[_cons]/_se[_cons])))
{txt}
{com}.         
.         foreach var in bngo tmxngo smngo cngo {c -(}
{txt}  2{com}.         
.                 gen sign_`var'_zero_`x' = (`p_`var'_`x''>0.1)
{txt}  3{com}.                 gen sign_`var'_p1s_`x' = (`p_`var'_`x''<=0.1 & `p_`var'_`x''>0.05 & `est_`var'_`x''>0)
{txt}  4{com}.                 gen sign_`var'_p2s_`x' = (`p_`var'_`x''<=0.05 & `p_`var'_`x''>0.01 & `est_`var'_`x''>0)
{txt}  5{com}.                 gen sign_`var'_p3s_`x' = (`p_`var'_`x''<=0.01 & `p_`var'_`x''>=0 & `est_`var'_`x''>0)
{txt}  6{com}.                 gen sign_`var'_m1s_`x' = (`p_`var'_`x''<=0.1 & `p_`var'_`x''>0.05 & `est_`var'_`x''<0)
{txt}  7{com}.                 gen sign_`var'_m2s_`x' = (`p_`var'_`x''<=0.05 & `p_`var'_`x''>0.01 & `est_`var'_`x''<0)
{txt}  8{com}.                 gen sign_`var'_m3s_`x' = (`p_`var'_`x''<=0.01 & `p_`var'_`x''>=0 & `est_`var'_`x''<0)
{txt}  9{com}.                 
.                 if sign_`var'_p1s_`x' == 1 {c -(}
{txt} 10{com}.                                 local sign_`var'_`x' = "\cellcolor[HTML]{c -(}EFEFEF{c )-}+"
{txt} 11{com}.                                 local est_`var'_`x' = "`est_`var'_`x''*"
{txt} 12{com}.                                 {c )-}
{txt} 13{com}.                                 
.                 if sign_`var'_p2s_`x' == 1 {c -(}    
{txt} 14{com}.                                 local sign_`var'_`x' = "\cellcolor[HTML]{c -(}C0C0C0{c )-}+"
{txt} 15{com}.                                 local est_`var'_`x' = "`est_`var'_`x''**"
{txt} 16{com}.                                 {c )-}
{txt} 17{com}.                                 
.                 if sign_`var'_p3s_`x' == 1 {c -(}    
{txt} 18{com}.                                 local sign_`var'_`x' = "\cellcolor[HTML]{c -(}9B9B9B{c )-}+"
{txt} 19{com}.                                 local est_`var'_`x' = "`est_`var'_`x''***"
{txt} 20{com}.                                 {c )-}
{txt} 21{com}.                         
.                 if sign_`var'_m1s_`x' == 1 {c -(}
{txt} 22{com}.                                 local sign_`var'_`x' = "\cellcolor[HTML]{c -(}EFEFEF{c )-}-"
{txt} 23{com}.                                 local est_`var'_`x' = "`est_`var'_`x''*"
{txt} 24{com}.                                 {c )-}
{txt} 25{com}.                                 
.                 if sign_`var'_m2s_`x' == 1 {c -(}    
{txt} 26{com}.                                 local sign_`var'_`x' = "\cellcolor[HTML]{c -(}C0C0C0{c )-}-"
{txt} 27{com}.                                 local est_`var'_`x' = "`est_`var'_`x''**"
{txt} 28{com}.                                 {c )-}
{txt} 29{com}.                                 
.                 if sign_`var'_m3s_`x' == 1 {c -(}    
{txt} 30{com}.                                 local sign_`var'_`x' = "\cellcolor[HTML]{c -(}9B9B9B{c )-}-"
{txt} 31{com}.                                 local est_`var'_`x' = "`est_`var'_`x''***"
{txt} 32{com}.                                 {c )-}
{txt} 33{com}.                         
.                 if sign_`var'_zero_`x' == 1 {c -(}
{txt} 34{com}.                         local sign_`var'_`x' = "0"
{txt} 35{com}.                         {c )-}
{txt} 36{com}.                         
.                 {c )-}
{txt}
{com}.                 
.         gen sign_ngo_zero_`x' = (`p_ngo_`x''>0.1)
{txt}
{com}.         gen sign_ngo_p1s_`x' = (`p_ngo_`x''<=0.1 & `p_ngo_`x''>0.05 & `est_ngo_`x''>0)
{txt}
{com}.         gen sign_ngo_p2s_`x' = (`p_ngo_`x''<=0.05 & `p_ngo_`x''>0.01 & `est_ngo_`x''>0)
{txt}
{com}.         gen sign_ngo_p3s_`x' = (`p_ngo_`x''<=0.01 & `p_ngo_`x''>=0 & `est_ngo_`x''>0)
{txt}
{com}.         gen sign_ngo_m1s_`x' = (`p_ngo_`x''<=0.1 & `p_ngo_`x''>0.05 & `est_ngo_`x''<0)
{txt}
{com}.         gen sign_ngo_m2s_`x' = (`p_ngo_`x''<=0.05 & `p_ngo_`x''>0.01 & `est_ngo_`x''<0)
{txt}
{com}.         gen sign_ngo_m3s_`x' = (`p_ngo_`x''<=0.01 & `p_ngo_`x''>=0 & `est_ngo_`x''<0)
{txt}
{com}.         
.         local p_ngo_`x' = string(`p_ngo_`x'',"%9.3fc")
{txt}
{com}.         local est_ngo_`x' = string(`est_ngo_`x'',"%9.3fc")
{txt}
{com}.         local se_ngo_`x' = string(`se_ngo_`x'',"%9.3fc")
{txt}
{com}.         
.         if sign_ngo_p1s_`x' == 1 {c -(}
.                         local sign_ngo_`x' = "\cellcolor[HTML]{c -(}EFEFEF{c )-}+"
.                         local est_ngo_`x' = "`est_ngo_`x''*"
.                         {c )-}
{txt}
{com}.                         
.         if sign_ngo_p2s_`x' == 1 {c -(}      
.                         local sign_ngo_`x' = "\cellcolor[HTML]{c -(}C0C0C0{c )-}+"
.                         local est_ngo_`x' = "`est_ngo_`x''**"
.                         {c )-}
{txt}
{com}.                         
.         if sign_ngo_p3s_`x' == 1 {c -(}      
.                         local sign_ngo_`x' = "\cellcolor[HTML]{c -(}9B9B9B{c )-}+"
.                         local est_ngo_`x' = "`est_ngo_`x''***"
.                         {c )-}
{txt}
{com}.                 
.         if sign_ngo_m1s_`x' == 1 {c -(}
.                         local sign_ngo_`x' = "\cellcolor[HTML]{c -(}EFEFEF{c )-}-"
.                         local est_ngo_`x' = "`est_ngo_`x''*"
.                         {c )-}
{txt}
{com}.                         
.         if sign_ngo_m2s_`x' == 1 {c -(}      
.                         local sign_ngo_`x' = "\cellcolor[HTML]{c -(}C0C0C0{c )-}-"
.                         local est_ngo_`x' = "`est_ngo_`x''**"
.                         {c )-}
{txt}
{com}.                         
.         if sign_ngo_m3s_`x' == 1 {c -(}      
.                         local sign_ngo_`x' = "\cellcolor[HTML]{c -(}9B9B9B{c )-}-"
.                         local est_ngo_`x' = "`est_ngo_`x''***"
.                         {c )-}
{txt}
{com}.                 
.         if sign_ngo_zero_`x' == 1 {c -(}
.                 local sign_ngo_`x' = "0"
.                 {c )-}
{txt}
{com}.                 
.         drop sign_*
{txt}
{com}. 
.         * Subgroup Effects: Baseline U5M
.         
.         local x healthout_z
{txt}
{com}.         
.         areg e_`x' treatfull treatfull_u5m_hc b_h_u5mortality_med_d b_`x' b_`x'_d `e_controls_tfull' `treatfull_int_e_controls', robust cl(hc_id) a(district)

{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}     4,930
{txt}{col 49}F({res}  11{txt},{res}    186{txt}){col 67}= {res}     64.12
{txt}{col 49}Prob > F{col 67}= {res}    0.0000
{txt}{col 49}R-squared{col 67}= {res}    0.1124
{txt}{col 49}Adj R-squared{col 67}= {res}    0.1077
{txt}{col 49}Root MSE{col 67}= {res}    0.8979

{txt}{ralign 78:(Std. Err. adjusted for {res:187} clusters in hc_id)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}e_healthou~z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2} .1006304{col 26}{space 2} .0752173{col 37}{space 1}    1.34{col 46}{space 3}0.183{col 54}{space 4}-.0477584{col 67}{space 3} .2490192
{txt}treatfu~m_hc {c |}{col 14}{res}{space 2}-.1270216{col 26}{space 2} .0800941{col 37}{space 1}   -1.59{col 46}{space 3}0.114{col 54}{space 4}-.2850312{col 67}{space 3}  .030988
{txt}b_h_u5mort~d {c |}{col 14}{res}{space 2}-.0257943{col 26}{space 2} .0814582{col 37}{space 1}   -0.32{col 46}{space 3}0.752{col 54}{space 4} -.186495{col 67}{space 3} .1349063
{txt}b_healthou~z {c |}{col 14}{res}{space 2} .1282582{col 26}{space 2} .0152582{col 37}{space 1}    8.41{col 46}{space 3}0.000{col 54}{space 4} .0981569{col 67}{space 3} .1583595
{txt}b_healthou~d {c |}{col 14}{res}{space 2} .6788748{col 26}{space 2} .0267474{col 37}{space 1}   25.38{col 46}{space 3}0.000{col 54}{space 4} .6261076{col 67}{space 3}  .731642
{txt}c_tfull_b_~d {c |}{col 14}{res}{space 2} .0673473{col 26}{space 2} .0877913{col 37}{space 1}    0.77{col 46}{space 3}0.444{col 54}{space 4}-.1058474{col 67}{space 3} .2405421
{txt}c_tfull_ed~r {c |}{col 14}{res}{space 2} .0098977{col 26}{space 2} .0054011{col 37}{space 1}    1.83{col 46}{space 3}0.068{col 54}{space 4}-.0007576{col 67}{space 3} .0205531
{txt}c_tfull_b_~x {c |}{col 14}{res}{space 2} .0690253{col 26}{space 2} .0247783{col 37}{space 1}    2.79{col 46}{space 3}0.006{col 54}{space 4} .0201426{col 67}{space 3}  .117908
{txt}c_treatful.. {c |}{col 14}{res}{space 2}-.0762665{col 26}{space 2} .1077483{col 37}{space 1}   -0.71{col 46}{space 3}0.480{col 54}{space 4}-.2888324{col 67}{space 3} .1362994
{txt}c_treatful.. {c |}{col 14}{res}{space 2}-.0002527{col 26}{space 2} .0066444{col 37}{space 1}   -0.04{col 46}{space 3}0.970{col 54}{space 4}-.0133608{col 67}{space 3} .0128554
{txt}c_treatful.. {c |}{col 14}{res}{space 2}-.0484564{col 26}{space 2} .0293172{col 37}{space 1}   -1.65{col 46}{space 3}0.100{col 54}{space 4}-.1062933{col 67}{space 3} .0093805
{txt}{space 7}_cons {c |}{col 14}{res}{space 2}-.4893763{col 26}{space 2} .0757305{col 37}{space 1}   -6.46{col 46}{space 3}0.000{col 54}{space 4}-.6387775{col 67}{space 3}-.3399751
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{com}.                 
.         eststo e_`x'_
{txt}
{com}.         local n_u5m_`x' = string(e(N),"%9.0fc")
{txt}
{com}.         local r2_u5m_`x' = string(e(r2),"%9.3fc")
{txt}
{com}.         
.         lincom treatfull + treatfull_u5m_hc

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull + treatfull_u5m_hc = 0{p_end}

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}e_healthou~z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}(1) {c |}{col 14}{res}{space 2}-.0263912{col 26}{space 2} .0285217{col 37}{space 1}   -0.93{col 46}{space 3}0.356{col 54}{space 4}-.0826589{col 67}{space 3} .0298765
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}.         local est_u5m_`x' = r(estimate)
{txt}
{com}.         local se_u5m_`x' = r(se)
{txt}
{com}.         test treatfull + treatfull_u5m_hc = 0

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull + treatfull_u5m_hc = 0{p_end}

{txt}       F(  1,   186) ={res}    0.86
{txt}{col 13}Prob > F ={res}    0.3560
{txt}
{com}.         local p_u5m_`x' = r(p)
{txt}
{com}.         
.         local est_bu5m_`x' = string(_b[treatfull],"%9.3fc")
{txt}
{com}.         local se_bu5m_`x' = string(_se[treatfull],"%9.3fc")
{txt}
{com}.         local p_bu5m_`x' = (2 * ttail(e(df_r), abs(_b[treatfull]/_se[treatfull])))
{txt}
{com}.         
.         local est_tmxu5m_`x' = string(_b[treatfull_u5m_hc],"%9.3fc")
{txt}
{com}.         local se_tmxu5m_`x' = string(_se[treatfull_u5m_hc],"%9.3fc")
{txt}
{com}.         local p_tmxu5m_`x' = (2 * ttail(e(df_r), abs(_b[treatfull_u5m_hc]/_se[treatfull_u5m_hc])))
{txt}
{com}.         
.         local est_smu5m_`x' = string(_b[b_h_u5mortality_med_d],"%9.3fc")
{txt}
{com}.         local se_smu5m_`x' = string(_se[b_h_u5mortality_med_d],"%9.3fc")
{txt}
{com}.         local p_smu5m_`x' = (2 * ttail(e(df_r), abs(_b[b_h_u5mortality_med_d]/_se[b_h_u5mortality_med_d])))
{txt}
{com}.         
.         local est_cu5m_`x' = string(_b[_cons],"%9.3fc")
{txt}
{com}.         local se_cu5m_`x' = string(_se[_cons],"%9.3fc")
{txt}
{com}.         local p_cu5m_`x' = (2 * ttail(e(df_r), abs(_b[_cons]/_se[_cons])))
{txt}
{com}.         
.         foreach var in bu5m tmxu5m smu5m cu5m {c -(}
{txt}  2{com}.         
.                 gen sign_`var'_zero_`x' = (`p_`var'_`x''>0.1)
{txt}  3{com}.                 gen sign_`var'_p1s_`x' = (`p_`var'_`x''<=0.1 & `p_`var'_`x''>0.05 & `est_`var'_`x''>0)
{txt}  4{com}.                 gen sign_`var'_p2s_`x' = (`p_`var'_`x''<=0.05 & `p_`var'_`x''>0.01 & `est_`var'_`x''>0)
{txt}  5{com}.                 gen sign_`var'_p3s_`x' = (`p_`var'_`x''<=0.01 & `p_`var'_`x''>=0 & `est_`var'_`x''>0)
{txt}  6{com}.                 gen sign_`var'_m1s_`x' = (`p_`var'_`x''<=0.1 & `p_`var'_`x''>0.05 & `est_`var'_`x''<0)
{txt}  7{com}.                 gen sign_`var'_m2s_`x' = (`p_`var'_`x''<=0.05 & `p_`var'_`x''>0.01 & `est_`var'_`x''<0)
{txt}  8{com}.                 gen sign_`var'_m3s_`x' = (`p_`var'_`x''<=0.01 & `p_`var'_`x''>=0 & `est_`var'_`x''<0)
{txt}  9{com}.                 
.                 if sign_`var'_p1s_`x' == 1 {c -(}
{txt} 10{com}.                                 local sign_`var'_`x' = "\cellcolor[HTML]{c -(}EFEFEF{c )-}+"
{txt} 11{com}.                                 local est_`var'_`x' = "`est_`var'_`x''*"
{txt} 12{com}.                                 {c )-}
{txt} 13{com}.                                 
.                 if sign_`var'_p2s_`x' == 1 {c -(}    
{txt} 14{com}.                                 local sign_`var'_`x' = "\cellcolor[HTML]{c -(}C0C0C0{c )-}+"
{txt} 15{com}.                                 local est_`var'_`x' = "`est_`var'_`x''**"
{txt} 16{com}.                                 {c )-}
{txt} 17{com}.                                 
.                 if sign_`var'_p3s_`x' == 1 {c -(}    
{txt} 18{com}.                                 local sign_`var'_`x' = "\cellcolor[HTML]{c -(}9B9B9B{c )-}+"
{txt} 19{com}.                                 local est_`var'_`x' = "`est_`var'_`x''***"
{txt} 20{com}.                                 {c )-}
{txt} 21{com}.                         
.                 if sign_`var'_m1s_`x' == 1 {c -(}
{txt} 22{com}.                                 local sign_`var'_`x' = "\cellcolor[HTML]{c -(}EFEFEF{c )-}-"
{txt} 23{com}.                                 local est_`var'_`x' = "`est_`var'_`x''*"
{txt} 24{com}.                                 {c )-}
{txt} 25{com}.                                 
.                 if sign_`var'_m2s_`x' == 1 {c -(}    
{txt} 26{com}.                                 local sign_`var'_`x' = "\cellcolor[HTML]{c -(}C0C0C0{c )-}-"
{txt} 27{com}.                                 local est_`var'_`x' = "`est_`var'_`x''**"
{txt} 28{com}.                                 {c )-}
{txt} 29{com}.                                 
.                 if sign_`var'_m3s_`x' == 1 {c -(}    
{txt} 30{com}.                                 local sign_`var'_`x' = "\cellcolor[HTML]{c -(}9B9B9B{c )-}-"
{txt} 31{com}.                                 local est_`var'_`x' = "`est_`var'_`x''***"
{txt} 32{com}.                                 {c )-}
{txt} 33{com}.                         
.                 if sign_`var'_zero_`x' == 1 {c -(}
{txt} 34{com}.                         local sign_`var'_`x' = "0"
{txt} 35{com}.                         {c )-}
{txt} 36{com}.                         
.                 {c )-}
{txt}
{com}.                 
.         gen sign_u5m_zero_`x' = (`p_u5m_`x''>0.1)
{txt}
{com}.         gen sign_u5m_p1s_`x' = (`p_u5m_`x''<=0.1 & `p_u5m_`x''>0.05 & `est_u5m_`x''>0)
{txt}
{com}.         gen sign_u5m_p2s_`x' = (`p_u5m_`x''<=0.05 & `p_u5m_`x''>0.01 & `est_u5m_`x''>0)
{txt}
{com}.         gen sign_u5m_p3s_`x' = (`p_u5m_`x''<=0.01 & `p_u5m_`x''>=0 & `est_u5m_`x''>0)
{txt}
{com}.         gen sign_u5m_m1s_`x' = (`p_u5m_`x''<=0.1 & `p_u5m_`x''>0.05 & `est_u5m_`x''<0)
{txt}
{com}.         gen sign_u5m_m2s_`x' = (`p_u5m_`x''<=0.05 & `p_u5m_`x''>0.01 & `est_u5m_`x''<0)
{txt}
{com}.         gen sign_u5m_m3s_`x' = (`p_u5m_`x''<=0.01 & `p_u5m_`x''>=0 & `est_u5m_`x''<0)
{txt}
{com}.         
.         local p_u5m_`x' = string(`p_u5m_`x'',"%9.3fc")
{txt}
{com}.         local est_u5m_`x' = string(`est_u5m_`x'',"%9.3fc")
{txt}
{com}.         local se_u5m_`x' = string(`se_u5m_`x'',"%9.3fc")
{txt}
{com}.         
.         if sign_u5m_p1s_`x' == 1 {c -(}
.                         local sign_u5m_`x' = "\cellcolor[HTML]{c -(}EFEFEF{c )-}+"
.                         local est_u5m_`x' = "`est_u5m_`x''*"
.                         {c )-}
{txt}
{com}.                         
.         if sign_u5m_p2s_`x' == 1 {c -(}      
.                         local sign_u5m_`x' = "\cellcolor[HTML]{c -(}C0C0C0{c )-}+"
.                         local est_u5m_`x' = "`est_u5m_`x''**"
.                         {c )-}
{txt}
{com}.                         
.         if sign_u5m_p3s_`x' == 1 {c -(}      
.                         local sign_u5m_`x' = "\cellcolor[HTML]{c -(}9B9B9B{c )-}+"
.                         local est_u5m_`x' = "`est_u5m_`x''***"
.                         {c )-}
{txt}
{com}.                 
.         if sign_u5m_m1s_`x' == 1 {c -(}
.                         local sign_u5m_`x' = "\cellcolor[HTML]{c -(}EFEFEF{c )-}-"
.                         local est_u5m_`x' = "`est_u5m_`x''*"
.                         {c )-}
{txt}
{com}.                         
.         if sign_u5m_m2s_`x' == 1 {c -(}      
.                         local sign_u5m_`x' = "\cellcolor[HTML]{c -(}C0C0C0{c )-}-"
.                         local est_u5m_`x' = "`est_u5m_`x''**"
.                         {c )-}
{txt}
{com}.                         
.         if sign_u5m_m3s_`x' == 1 {c -(}      
.                         local sign_u5m_`x' = "\cellcolor[HTML]{c -(}9B9B9B{c )-}-"
.                         local est_u5m_`x' = "`est_u5m_`x''***"
.                         {c )-}
{txt}
{com}.                 
.         if sign_u5m_zero_`x' == 1 {c -(}
.                 local sign_u5m_`x' = "0"
.                 {c )-}
{txt}
{com}.                 
.         drop sign_*
{txt}
{com}.         
.         ********************
.         * Individual level *
.         ********************
.         
.         use "${c -(}usedata{c )-}/healthoutcome_endline_ind.dta", clear
{txt}
{com}.         
.         * We merge the different indices
.         
.         merge m:1 hc_id using "`bu5m'"
{res}
{txt}{col 5}Result{col 38}# of obs.
{col 5}{hline 41}
{col 5}not matched{col 30}{res}               0
{txt}{col 5}matched{col 30}{res}          18,551{txt}  (_merge==3)
{col 5}{hline 41}

{com}.         
.         * We will create the interaction terms
.         
.         foreach var in u5_p2p {c -(}
{txt}  2{com}.         
.                 gen treatfull_`var' = treatfull * `var'
{txt}  3{com}.                 la var treatfull_`var' "treatfull * `var'"
{txt}  4{com}.                 
.                 {c )-}
{txt}(9,357 missing values generated)

{com}.                 
.         
.         * We now run the subgroup analysis for the P2P 1 SD components
.         
.         ren e_healthoutcome_z e_healthout_z
{res}{txt}
{com}.         ren b_healthoutcome_z b_healthout_z
{res}{txt}
{com}.         ren b_healthoutcome_z_d b_healthout_z_d
{res}{txt}
{com}.         
.         
.         * Subgroup Effects: Baseline U5M 1 SD P2P
.         
.         local x healthout_z
{txt}
{com}.         
.         areg e_`x' treatfull treatfull_u5_p2p u5_p2p b_`x' b_`x'_d `e_controls_tfull' `treatfull_int_e_controls', robust cl(hc_id) a(district)

{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}     4,930
{txt}{col 49}F({res}  11{txt},{res}    186{txt}){col 67}= {res}     62.38
{txt}{col 49}Prob > F{col 67}= {res}    0.0000
{txt}{col 49}R-squared{col 67}= {res}    0.1114
{txt}{col 49}Adj R-squared{col 67}= {res}    0.1067
{txt}{col 49}Root MSE{col 67}= {res}    0.8984

{txt}{ralign 78:(Std. Err. adjusted for {res:187} clusters in hc_id)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}e_healthou~z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2} .0029646{col 26}{space 2} .0348821{col 37}{space 1}    0.08{col 46}{space 3}0.932{col 54}{space 4}-.0658508{col 67}{space 3} .0717801
{txt}treatfull~2p {c |}{col 14}{res}{space 2}-.0164941{col 26}{space 2} .0581214{col 37}{space 1}   -0.28{col 46}{space 3}0.777{col 54}{space 4} -.131156{col 67}{space 3} .0981679
{txt}{space 6}u5_p2p {c |}{col 14}{res}{space 2}-.0213212{col 26}{space 2} .0437105{col 37}{space 1}   -0.49{col 46}{space 3}0.626{col 54}{space 4}-.1075533{col 67}{space 3} .0649108
{txt}b_healthou~z {c |}{col 14}{res}{space 2}  .130229{col 26}{space 2} .0154619{col 37}{space 1}    8.42{col 46}{space 3}0.000{col 54}{space 4} .0997259{col 67}{space 3} .1607322
{txt}b_healthou~d {c |}{col 14}{res}{space 2} .6765671{col 26}{space 2} .0267283{col 37}{space 1}   25.31{col 46}{space 3}0.000{col 54}{space 4} .6238374{col 67}{space 3} .7292968
{txt}c_tfull_b_~d {c |}{col 14}{res}{space 2} .0678135{col 26}{space 2} .0881547{col 37}{space 1}    0.77{col 46}{space 3}0.443{col 54}{space 4}-.1060981{col 67}{space 3} .2417251
{txt}c_tfull_ed~r {c |}{col 14}{res}{space 2} .0096672{col 26}{space 2} .0054105{col 37}{space 1}    1.79{col 46}{space 3}0.076{col 54}{space 4}-.0010065{col 67}{space 3}  .020341
{txt}c_tfull_b_~x {c |}{col 14}{res}{space 2} .0681212{col 26}{space 2} .0248361{col 37}{space 1}    2.74{col 46}{space 3}0.007{col 54}{space 4} .0191246{col 67}{space 3} .1171179
{txt}c_treatful.. {c |}{col 14}{res}{space 2}-.0878222{col 26}{space 2}  .107652{col 37}{space 1}   -0.82{col 46}{space 3}0.416{col 54}{space 4} -.300198{col 67}{space 3} .1245536
{txt}c_treatful.. {c |}{col 14}{res}{space 2}-.0000567{col 26}{space 2} .0066774{col 37}{space 1}   -0.01{col 46}{space 3}0.993{col 54}{space 4}-.0132298{col 67}{space 3} .0131164
{txt}c_treatful.. {c |}{col 14}{res}{space 2}-.0478065{col 26}{space 2} .0296483{col 37}{space 1}   -1.61{col 46}{space 3}0.109{col 54}{space 4}-.1062967{col 67}{space 3} .0106838
{txt}{space 7}_cons {c |}{col 14}{res}{space 2}-.5031239{col 26}{space 2} .0279221{col 37}{space 1}  -18.02{col 46}{space 3}0.000{col 54}{space 4}-.5582087{col 67}{space 3}-.4480391
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{com}.         
.         eststo e_`x'_u5mp2p
{txt}
{com}.         local n_u5mp2p_`x' = string(e(N),"%9.0fc")
{txt}
{com}.         local r2_u5mp2p_`x' = string(e(r2),"%9.3fc")
{txt}
{com}.         
.         lincom treatfull + treatfull_u5_p2p

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull + treatfull_u5_p2p = 0{p_end}

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}e_healthou~z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}(1) {c |}{col 14}{res}{space 2}-.0135295{col 26}{space 2} .0454301{col 37}{space 1}   -0.30{col 46}{space 3}0.766{col 54}{space 4}-.1031539{col 67}{space 3} .0760949
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}.         local est_u5mp2p_`x' = r(estimate)
{txt}
{com}.         local se_u5mp2p_`x' = r(se)
{txt}
{com}.         test treatfull + treatfull_u5_p2p = 0

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull + treatfull_u5_p2p = 0{p_end}

{txt}       F(  1,   186) ={res}    0.09
{txt}{col 13}Prob > F ={res}    0.7662
{txt}
{com}.         local p_u5mp2p_`x' = r(p)
{txt}
{com}.         
.         local est_bu5mp2p_`x' = string(_b[treatfull],"%9.3fc")
{txt}
{com}.         local se_bu5mp2p_`x' = string(_se[treatfull],"%9.3fc")
{txt}
{com}.         local p_bu5mp2p_`x' = (2 * ttail(e(df_r), abs(_b[treatfull]/_se[treatfull])))
{txt}
{com}.         
.         local est_tmxu5mp2p_`x' = string(_b[treatfull_u5_p2p],"%9.3fc")
{txt}
{com}.         local se_tmxu5mp2p_`x' = string(_se[treatfull_u5_p2p],"%9.3fc")
{txt}
{com}.         local p_tmxu5mp2p_`x' = (2 * ttail(e(df_r), abs(_b[treatfull_u5_p2p]/_se[treatfull_u5_p2p])))
{txt}
{com}.         
.         local est_smu5mp2p_`x' = string(_b[u5_p2p],"%9.3fc")
{txt}
{com}.         local se_smu5mp2p_`x' = string(_se[u5_p2p],"%9.3fc")
{txt}
{com}.         local p_smu5mp2p_`x' = (2 * ttail(e(df_r), abs(_b[u5_p2p]/_se[u5_p2p])))
{txt}
{com}.         
.         local est_cu5mp2p_`x' = string(_b[_cons],"%9.3fc")
{txt}
{com}.         local se_cu5mp2p_`x' = string(_se[_cons],"%9.3fc")
{txt}
{com}.         local p_cu5mp2p_`x' = (2 * ttail(e(df_r), abs(_b[_cons]/_se[_cons])))
{txt}
{com}.         
.         foreach var in bu5mp2p tmxu5mp2p smu5mp2p cu5mp2p {c -(}
{txt}  2{com}.         
.                 gen sign_`var'_zero_`x' = (`p_`var'_`x''>0.1)
{txt}  3{com}.                 gen sign_`var'_p1s_`x' = (`p_`var'_`x''<=0.1 & `p_`var'_`x''>0.05 & `est_`var'_`x''>0)
{txt}  4{com}.                 gen sign_`var'_p2s_`x' = (`p_`var'_`x''<=0.05 & `p_`var'_`x''>0.01 & `est_`var'_`x''>0)
{txt}  5{com}.                 gen sign_`var'_p3s_`x' = (`p_`var'_`x''<=0.01 & `p_`var'_`x''>=0 & `est_`var'_`x''>0)
{txt}  6{com}.                 gen sign_`var'_m1s_`x' = (`p_`var'_`x''<=0.1 & `p_`var'_`x''>0.05 & `est_`var'_`x''<0)
{txt}  7{com}.                 gen sign_`var'_m2s_`x' = (`p_`var'_`x''<=0.05 & `p_`var'_`x''>0.01 & `est_`var'_`x''<0)
{txt}  8{com}.                 gen sign_`var'_m3s_`x' = (`p_`var'_`x''<=0.01 & `p_`var'_`x''>=0 & `est_`var'_`x''<0)
{txt}  9{com}.                 
.                 if sign_`var'_p1s_`x' == 1 {c -(}
{txt} 10{com}.                                 local sign_`var'_`x' = "\cellcolor[HTML]{c -(}EFEFEF{c )-}+"
{txt} 11{com}.                                 local est_`var'_`x' = "`est_`var'_`x''*"
{txt} 12{com}.                                 {c )-}
{txt} 13{com}.                                 
.                 if sign_`var'_p2s_`x' == 1 {c -(}    
{txt} 14{com}.                                 local sign_`var'_`x' = "\cellcolor[HTML]{c -(}C0C0C0{c )-}+"
{txt} 15{com}.                                 local est_`var'_`x' = "`est_`var'_`x''**"
{txt} 16{com}.                                 {c )-}
{txt} 17{com}.                                 
.                 if sign_`var'_p3s_`x' == 1 {c -(}    
{txt} 18{com}.                                 local sign_`var'_`x' = "\cellcolor[HTML]{c -(}9B9B9B{c )-}+"
{txt} 19{com}.                                 local est_`var'_`x' = "`est_`var'_`x''***"
{txt} 20{com}.                                 {c )-}
{txt} 21{com}.                         
.                 if sign_`var'_m1s_`x' == 1 {c -(}
{txt} 22{com}.                                 local sign_`var'_`x' = "\cellcolor[HTML]{c -(}EFEFEF{c )-}-"
{txt} 23{com}.                                 local est_`var'_`x' = "`est_`var'_`x''*"
{txt} 24{com}.                                 {c )-}
{txt} 25{com}.                                 
.                 if sign_`var'_m2s_`x' == 1 {c -(}    
{txt} 26{com}.                                 local sign_`var'_`x' = "\cellcolor[HTML]{c -(}C0C0C0{c )-}-"
{txt} 27{com}.                                 local est_`var'_`x' = "`est_`var'_`x''**"
{txt} 28{com}.                                 {c )-}
{txt} 29{com}.                                 
.                 if sign_`var'_m3s_`x' == 1 {c -(}    
{txt} 30{com}.                                 local sign_`var'_`x' = "\cellcolor[HTML]{c -(}9B9B9B{c )-}-"
{txt} 31{com}.                                 local est_`var'_`x' = "`est_`var'_`x''***"
{txt} 32{com}.                                 {c )-}
{txt} 33{com}.                         
.                 if sign_`var'_zero_`x' == 1 {c -(}
{txt} 34{com}.                         local sign_`var'_`x' = "0"
{txt} 35{com}.                         {c )-}
{txt} 36{com}.                         
.                 {c )-}
{txt}
{com}.                 
.         gen sign_u5mp2p_zero_`x' = (`p_u5mp2p_`x''>0.1)
{txt}
{com}.         gen sign_u5mp2p_p1s_`x' = (`p_u5mp2p_`x''<=0.1 & `p_u5mp2p_`x''>0.05 & `est_u5mp2p_`x''>0)
{txt}
{com}.         gen sign_u5mp2p_p2s_`x' = (`p_u5mp2p_`x''<=0.05 & `p_u5mp2p_`x''>0.01 & `est_u5mp2p_`x''>0)
{txt}
{com}.         gen sign_u5mp2p_p3s_`x' = (`p_u5mp2p_`x''<=0.01 & `p_u5mp2p_`x''>=0 & `est_u5mp2p_`x''>0)
{txt}
{com}.         gen sign_u5mp2p_m1s_`x' = (`p_u5mp2p_`x''<=0.1 & `p_u5mp2p_`x''>0.05 & `est_u5mp2p_`x''<0)
{txt}
{com}.         gen sign_u5mp2p_m2s_`x' = (`p_u5mp2p_`x''<=0.05 & `p_u5mp2p_`x''>0.01 & `est_u5mp2p_`x''<0)
{txt}
{com}.         gen sign_u5mp2p_m3s_`x' = (`p_u5mp2p_`x''<=0.01 & `p_u5mp2p_`x''>=0 & `est_u5mp2p_`x''<0)
{txt}
{com}.         
.         local p_u5mp2p_`x' = string(`p_u5mp2p_`x'',"%9.3fc")
{txt}
{com}.         local est_u5mp2p_`x' = string(`est_u5mp2p_`x'',"%9.3fc")
{txt}
{com}.         local se_u5mp2p_`x' = string(`se_u5mp2p_`x'',"%9.3fc")
{txt}
{com}.         
.         if sign_u5mp2p_p1s_`x' == 1 {c -(}
.                         local sign_u5mp2p_`x' = "\cellcolor[HTML]{c -(}EFEFEF{c )-}+"
.                         local est_u5mp2p_`x' = "`est_u5mp2p_`x''*"
.                         {c )-}
{txt}
{com}.                         
.         if sign_u5mp2p_p2s_`x' == 1 {c -(}   
.                         local sign_u5mp2p_`x' = "\cellcolor[HTML]{c -(}C0C0C0{c )-}+"
.                         local est_u5mp2p_`x' = "`est_u5mp2p_`x''**"
.                         {c )-}
{txt}
{com}.                         
.         if sign_u5mp2p_p3s_`x' == 1 {c -(}   
.                         local sign_u5mp2p_`x' = "\cellcolor[HTML]{c -(}9B9B9B{c )-}+"
.                         local est_u5mp2p_`x' = "`est_u5mp2p_`x''***"
.                         {c )-}
{txt}
{com}.                 
.         if sign_u5mp2p_m1s_`x' == 1 {c -(}
.                         local sign_u5mp2p_`x' = "\cellcolor[HTML]{c -(}EFEFEF{c )-}-"
.                         local est_u5mp2p_`x' = "`est_u5mp2p_`x''*"
.                         {c )-}
{txt}
{com}.                         
.         if sign_u5mp2p_m2s_`x' == 1 {c -(}   
.                         local sign_u5mp2p_`x' = "\cellcolor[HTML]{c -(}C0C0C0{c )-}-"
.                         local est_u5mp2p_`x' = "`est_u5mp2p_`x''**"
.                         {c )-}
{txt}
{com}.                         
.         if sign_u5mp2p_m3s_`x' == 1 {c -(}   
.                         local sign_u5mp2p_`x' = "\cellcolor[HTML]{c -(}9B9B9B{c )-}-"
.                         local est_u5mp2p_`x' = "`est_u5mp2p_`x''***"
.                         {c )-}
{txt}
{com}.                 
.         if sign_u5mp2p_zero_`x' == 1 {c -(}
.                 local sign_u5mp2p_`x' = "0"
.                 {c )-}
{txt}
{com}.                 
.         drop sign_*
{txt}
{com}.         
.         * We outsheet the table
.         
.         texdoc init "${c -(}tables{c )-}/TableI22.tex", replace force
{res}{txt}(texdoc output file is /Users/fredericcochinard/Dropbox/ACT_Health_JOP_replication_file/3.Tables and Figures/Tables/TableI22.tex)
{res}{txt}
{com}.         tex \begin{c -(}table{c )-}[htbp]\centering
{res}{txt}
{com}.         tex \scriptsize
{res}{txt}
{com}.         tex \def\sym#1{c -(}\ifmmode^{c -(}#1{c )-}\else\(^{c -(}#1{c )-}\)\fi{c )-}
{res}{txt}
{com}.         tex \caption{c -(}Subgroup treatment effects on main outcomes - Backwardness hypothesis{c )-}
{res}{txt}
{com}.         tex \begin{c -(}tabular{c )-}{c -(}l*{c -(}8{c )-}{c -(}g{c )-}{c )-}
{res}{txt}
{com}.         tex \toprule
{res}{txt}
{com}.         tex                                                                                     & \multicolumn{c -(}1{c )-}{c -(}c{c )-}{c -(}(1){c )-}         & \multicolumn{c -(}1{c )-}{c -(}c{c )-}{c -(}(2){c )-}                                                          & \multicolumn{c -(}1{c )-}{c -(}c{c )-}{c -(}(3){c )-}                                                             & \multicolumn{c -(}1{c )-}{c -(}c{c )-}{c -(}(4){c )-}                                                        & \multicolumn{c -(}1{c )-}{c -(}c{c )-}{c -(}(5){c )-}   & \multicolumn{c -(}1{c )-}{c -(}c{c )-}{c -(}(6){c )-}  & \multicolumn{c -(}1{c )-}{c -(}c{c )-}{c -(}(7){c )-}                                                       \\
{res}{txt}
{com}.         tex                                                                                                                                     & \multicolumn{c -(}1{c )-}{c -(}c{c )-}{c -(}\textbf{c -(}\begin{c -(}tabular{c )-}[c]{c -(}@{c -(}{c )-}c@{c -(}{c )-}{c )-}Citizen \\ monitoring\end{c -(}tabular{c )-}{c )-}{c )-} & \multicolumn{c -(}1{c )-}{c -(}c{c )-}{c -(}\textbf{c -(}\begin{c -(}tabular{c )-}[c]{c -(}@{c -(}{c )-}c@{c -(}{c )-}{c )-}Perceived \\ citizen \\ pressure\end{c -(}tabular{c )-}{c )-}{c )-}  & \multicolumn{c -(}1{c )-}{c -(}c{c )-}{c -(}\textbf{c -(}Utilization{c )-}{c )-} & \multicolumn{c -(}1{c )-}{c -(}c{c )-}{c -(}\textbf{c -(}\begin{c -(}tabular{c )-}[c]{c -(}@{c -(}{c )-}c@{c -(}{c )-}{c )-}Treatment \\ quality\end{c -(}tabular{c )-}{c )-}{c )-} & \multicolumn{c -(}1{c )-}{c -(}c{c )-}{c -(}\textbf{c -(}\begin{c -(}tabular{c )-}[c]{c -(}@{c -(}{c )-}c@{c -(}{c )-}{c )-}Patient \\ satisfaction\end{c -(}tabular{c )-}{c )-}{c )-} & \multicolumn{c -(}1{c )-}{c -(}c{c )-}{c -(}\textbf{c -(}\begin{c -(}tabular{c )-}[c]{c -(}@{c -(}{c )-}c@{c -(}{c )-}{c )-}Health \\ outcomes\end{c -(}tabular{c )-}{c )-}{c )-} & \multicolumn{c -(}1{c )-}{c -(}c{c )-}{c -(}\textbf{c -(}\begin{c -(}tabular{c )-}[c]{c -(}@{c -(}{c )-}c@{c -(}{c )-}{c )-}Child\\ mortality\end{c -(}tabular{c )-}{c )-}{c )-} \\
{res}{txt}
{com}.         tex \midrule
{res}{txt}
{com}.         tex \multirow{c -(}2{c )-}{c -(}*{c )-}{c -(}Treat{c )-}                                     & `est_hc3_commtg_z' & `est_hc3_h_ctzpre_z' & `est_hc3_urate_z'                            & `est_hc3_treatqual_z'                                                                             & `est_hc3_patsat_z'                                                                              & `est_hc3_healthout_z'                                                                          & `est_hc3_mortrate_05'                                                                          \\
{res}{txt}
{com}.     tex                                                            & (`se_hc3_commtg_z') & (`se_hc3_h_ctzpre_z') & (`se_hc3_urate_z')                          & (`se_hc3_treatqual_z')                                                                           & (`se_hc3_patsat_z')                                                                              & (`se_hc3_healthout_z')                                                                         & (`se_hc3_mortrate_05')                                                                         \\
{res}{txt}
{com}.         tex \multirow{c -(}2{c )-}{c -(}*{c )-}{c -(}Treat*HC2{c )-}                                     & `est_tmxhc3_commtg_z' & `est_tmxhc3_h_ctzpre_z' & `est_tmxhc3_urate_z'                            & `est_tmxhc3_treatqual_z'                                                                             & `est_tmxhc3_patsat_z'                                                                              & `est_tmxhc3_healthout_z'                                                                          & `est_tmxhc3_mortrate_05'                                                                          \\
{res}{txt}
{com}.     tex                                                            & (`se_tmxhc3_commtg_z') & (`se_tmxhc3_h_ctzpre_z') & (`se_tmxhc3_urate_z')                          & (`se_tmxhc3_treatqual_z')                                                                           & (`se_tmxhc3_patsat_z')                                                                              & (`se_tmxhc3_healthout_z')                                                                         & (`se_tmxhc3_mortrate_05')                                                                         \\
{res}{txt}
{com}.         tex \multirow{c -(}2{c )-}{c -(}*{c )-}{c -(}HC2{c )-}                                     & `est_smhc3_commtg_z' & `est_smhc3_h_ctzpre_z' & `est_smhc3_urate_z'                            & `est_smhc3_treatqual_z'                                                                             & `est_smhc3_patsat_z'                                                                              & `est_smhc3_healthout_z'                                                                          & `est_smhc3_mortrate_05'                                                                          \\
{res}{txt}
{com}.     tex                                                            & (`se_smhc3_commtg_z') & (`se_smhc3_h_ctzpre_z') & (`se_smhc3_urate_z')                          & (`se_smhc3_treatqual_z')                                                                           & (`se_smhc3_patsat_z')                                                                              & (`se_smhc3_healthout_z')                                                                         & (`se_smhc3_mortrate_05')                                                                         \\
{res}{txt}
{com}.         tex \multirow{c -(}2{c )-}{c -(}*{c )-}{c -(}Treat+Treat*HC2{c )-}                                    & `est_hc2_commtg_z' & `est_hc2_h_ctzpre_z' & `est_hc2_urate_z'                            & `est_hc2_treatqual_z'                                                                             & `est_hc2_patsat_z'                                                                              & `est_hc2_healthout_z'                                                                          & `est_hc2_mortrate_05'                                                                          \\
{res}{txt}
{com}.     tex                                                            & (`se_hc2_commtg_z') & (`se_hc2_h_ctzpre_z') & (`se_hc2_urate_z')                          & (`se_hc2_treatqual_z')                                                                           & (`se_hc2_patsat_z')                                                                              & (`se_hc2_healthout_z')                                                                         & (`se_hc2_mortrate_05')                                                                         \\
{res}{txt}
{com}.         tex \midrule
{res}{txt}
{com}.         tex \multirow{c -(}2{c )-}{c -(}*{c )-}{c -(}Treat{c )-}                                     & `est_btreatqual_commtg_z'  & `est_btreatqual_h_ctzpre_z'  & `est_btreatqual_urate_z'                            & `est_btreatqual_treatqual_z'                                                                             & `est_btreatqual_patsat_z'                                                                              & `est_btreatqual_healthout_z'                                                                          & `est_btreatqual_mortrate_05'                                                                          \\
{res}{txt}
{com}.     tex                                                            & (`se_btreatqual_commtg_z') & (`se_btreatqual_h_ctzpre_z') & (`se_btreatqual_urate_z')                          & (`se_btreatqual_treatqual_z')                                                                           & (`se_btreatqual_patsat_z')                                                                              & (`se_btreatqual_healthout_z')                                                                         & (`se_btreatqual_mortrate_05')                                                                         \\
{res}{txt}
{com}.         tex \multirow{c -(}2{c )-}{c -(}*{c )-}{c -(}Treat*Low treatment quality{c )-}                                     & `est_tmxtqual_commtg_z' & `est_tmxtqual_h_ctzpre_z' & `est_tmxtqual_urate_z'                            & `est_tmxtqual_treatqual_z'                                                                             & `est_tmxtqual_patsat_z'                                                                              & `est_tmxtqual_healthout_z'                                                                          & `est_tmxtqual_mortrate_05'                                                                          \\
{res}{txt}
{com}.     tex                                                            & (`se_tmxtqual_commtg_z') & (`se_tmxtqual_h_ctzpre_z') & (`se_tmxtqual_urate_z')                          & (`se_tmxtqual_treatqual_z')                                                                           & (`se_tmxtqual_patsat_z')                                                                              & (`se_tmxtqual_healthout_z')                                                                         & (`se_tmxtqual_mortrate_05')                                                                         \\
{res}{txt}
{com}.         tex \multirow{c -(}2{c )-}{c -(}*{c )-}{c -(}Low treatment quality{c )-}                                     & `est_smtqual_commtg_z' & `est_smtqual_h_ctzpre_z' & `est_smtqual_urate_z'                            & `est_smtqual_treatqual_z'                                                                             & `est_smtqual_patsat_z'                                                                              & `est_smtqual_healthout_z'                                                                          & `est_smtqual_mortrate_05'                                                                          \\
{res}{txt}
{com}.     tex                                                            & (`se_smtqual_commtg_z')  & (`se_smtqual_h_ctzpre_z')  & (`se_smtqual_urate_z')                          & (`se_smtqual_treatqual_z')                                                                           & (`se_smtqual_patsat_z')                                                                              & (`se_smtqual_healthout_z')                                                                         & (`se_smtqual_mortrate_05')                                                                         \\
{res}{txt}
{com}.         tex \multirow{c -(}2{c )-}{c -(}*{c )-}{c -(}Treat+Treat*Low treatment quality{c )-}                                     & `est_treatqual_commtg_z' & `est_treatqual_h_ctzpre_z' & `est_treatqual_urate_z'                            & `est_treatqual_treatqual_z'                                                                             & `est_treatqual_patsat_z'                                                                              & `est_treatqual_healthout_z'                                                                          & `est_treatqual_mortrate_05'                                                                          \\
{res}{txt}
{com}.     tex                                                            & (`se_treatqual_commtg_z') & (`se_treatqual_h_ctzpre_z') & (`se_treatqual_urate_z')                          & (`se_treatqual_treatqual_z')                                                                           & (`se_treatqual_patsat_z')                                                                              & (`se_treatqual_healthout_z')                                                                         & (`se_treatqual_mortrate_05')                                                                         \\
{res}{txt}
{com}.         tex \midrule
{res}{txt}
{com}.         tex \multirow{c -(}2{c )-}{c -(}*{c )-}{c -(}Treat{c )-}                                     & `est_bu5m_commtg_z' & `est_bu5m_h_ctzpre_z' & `est_bu5m_urate_z'                            & `est_bu5m_treatqual_z'                                                                             & `est_bu5m_patsat_z'                                                                              & `est_bu5m_healthout_z'                                                                          & `est_bu5m_mortrate_05'                                                                          \\
{res}{txt}
{com}.     tex                                                            & (`se_bu5m_commtg_z') & (`se_bu5m_h_ctzpre_z') & (`se_bu5m_urate_z')                          & (`se_bu5m_treatqual_z')                                                                           & (`se_bu5m_patsat_z')                                                                              & (`se_bu5m_healthout_z')                                                                         & (`se_bu5m_mortrate_05')                                                                         \\
{res}{txt}
{com}.         tex \multirow{c -(}2{c )-}{c -(}*{c )-}{c -(}Treat*High U5MR (median){c )-}                  & `est_tmxu5m_commtg_z' & `est_tmxu5m_h_ctzpre_z'                   & `est_tmxu5m_urate_z'                            & `est_tmxu5m_treatqual_z'                                                                             & `est_tmxu5m_patsat_z'                                                                              & `est_tmxu5m_healthout_z'                                                                          & `est_tmxu5m_mortrate_05'                                                                          \\
{res}{txt}
{com}.     tex                                                            & (`se_tmxu5m_commtg_z') & (`se_tmxu5m_h_ctzpre_z') & (`se_tmxu5m_urate_z')                          & (`se_tmxu5m_treatqual_z')                                                                           & (`se_tmxu5m_patsat_z')                                                                              & (`se_tmxu5m_healthout_z')                                                                         & (`se_tmxu5m_mortrate_05')                                                                         \\
{res}{txt}
{com}.         tex \multirow{c -(}2{c )-}{c -(}*{c )-}{c -(}High U5MR (median){c )-}                         & `est_smu5m_commtg_z' & `est_smu5m_h_ctzpre_z'            & `est_smu5m_urate_z'                            & `est_smu5m_treatqual_z'                                                                             & `est_smu5m_patsat_z'                                                                              & `est_smu5m_healthout_z'                                                                          & `est_smu5m_mortrate_05'                                                                          \\
{res}{txt}
{com}.     tex                                                            & (`se_smu5m_commtg_z') & (`se_smu5m_h_ctzpre_z') & (`se_smu5m_urate_z')                          & (`se_smu5m_treatqual_z')                                                                           & (`se_smu5m_patsat_z')                                                                              & (`se_smu5m_healthout_z')                                                                         & (`se_smu5m_mortrate_05')                                                                         \\
{res}{txt}
{com}.         tex \multirow{c -(}2{c )-}{c -(}*{c )-}{c -(}Treat+Treat*High U5MR (median){c )-}            & `est_u5m_commtg_z' & `est_u5m_h_ctzpre_z'                         & `est_u5m_urate_z'                            & `est_u5m_treatqual_z'                                                                             & `est_u5m_patsat_z'                                                                              & `est_u5m_healthout_z'                                                                          & `est_u5m_mortrate_05'                                                                          \\
{res}{txt}
{com}.     tex                                                            & (`se_u5m_commtg_z')  & (`se_u5m_h_ctzpre_z')  & (`se_u5m_urate_z')                          & (`se_u5m_treatqual_z')                                                                           & (`se_u5m_patsat_z')                                                                              & (`se_u5m_healthout_z')                                                                         & (`se_u5m_mortrate_05')                                                                         \\
{res}{txt}
{com}.         tex \midrule
{res}{txt}
{com}.         tex \multirow{c -(}2{c )-}{c -(}*{c )-}{c -(}Treat{c )-}                                     & `est_bu5mp2p_commtg_z'  & `est_bu5mp2p_h_ctzpre_z'  & `est_bu5mp2p_urate_z'                            & `est_bu5mp2p_treatqual_z'                                                                             & `est_bu5mp2p_patsat_z'                                                                              & `est_bu5mp2p_healthout_z'                                                                          & `est_bu5mp2p_mortrate_05'                                                                          \\
{res}{txt}
{com}.     tex                                                            & (`se_bu5mp2p_commtg_z')  & (`se_bu5mp2p_h_ctzpre_z')  & (`se_bu5mp2p_urate_z')                          & (`se_bu5mp2p_treatqual_z')                                                                           & (`se_bu5mp2p_patsat_z')                                                                              & (`se_bu5mp2p_healthout_z')                                                                         & (`se_bu5mp2p_mortrate_05')                                                                         \\
{res}{txt}
{com}.         tex \multirow{c -(}2{c )-}{c -(}*{c )-}{c -(}Treat*High U5MR (w/i 1 SD of P2P){c )-}      & `est_tmxu5mp2p_commtg_z' & `est_tmxu5mp2p_h_ctzpre_z'                               & `est_tmxu5mp2p_urate_z'                            & `est_tmxu5mp2p_treatqual_z'                                                                             & `est_tmxu5mp2p_patsat_z'                                                                              & `est_tmxu5mp2p_healthout_z'                                                                          & `est_tmxu5mp2p_mortrate_05'                                                                          \\
{res}{txt}
{com}.     tex                                                            & (`se_tmxu5mp2p_commtg_z') & (`se_tmxu5mp2p_h_ctzpre_z') & (`se_tmxu5mp2p_urate_z')                          & (`se_tmxu5mp2p_treatqual_z')                                                                           & (`se_tmxu5mp2p_patsat_z')                                                                              & (`se_tmxu5mp2p_healthout_z')                                                                         & (`se_tmxu5mp2p_mortrate_05')                                                                         \\
{res}{txt}
{com}.         tex \multirow{c -(}2{c )-}{c -(}*{c )-}{c -(}High U5MR (w/i 1 SD of P2P){c )-}                                     & `est_smu5mp2p_commtg_z' & `est_smu5mp2p_h_ctzpre_z' & `est_smu5mp2p_urate_z'                            & `est_smu5mp2p_treatqual_z'                                                                             & `est_smu5mp2p_patsat_z'                                                                              & `est_smu5mp2p_healthout_z'                                                                          & `est_smu5mp2p_mortrate_05'                                                                          \\
{res}{txt}
{com}.     tex                                                            & (`se_smu5mp2p_commtg_z') & (`se_smu5mp2p_h_ctzpre_z') & (`se_smu5mp2p_urate_z')                          & (`se_smu5mp2p_treatqual_z')                                                                           & (`se_smu5mp2p_patsat_z')                                                                              & (`se_smu5mp2p_healthout_z')                                                                         & (`se_smu5mp2p_mortrate_05')                                                                         \\
{res}{txt}
{com}.         tex \multirow{c -(}2{c )-}{c -(}*{c )-}{c -(}Treat+Treat*High U5MR (w/i 1 SD of P2P){c )-} & `est_u5mp2p_commtg_z' & `est_u5mp2p_h_ctzpre_z'                                    & `est_u5mp2p_urate_z'                            & `est_u5mp2p_treatqual_z'                                                                             & `est_u5mp2p_patsat_z'                                                                              & `est_u5mp2p_healthout_z'                                                                          & `est_u5mp2p_mortrate_05'                                                                          \\
{res}{txt}
{com}.     tex                                                            & (`se_u5mp2p_commtg_z') & (`se_u5mp2p_h_ctzpre_z') & (`se_u5mp2p_urate_z')                          & (`se_u5mp2p_treatqual_z')                                                                           & (`se_u5mp2p_patsat_z')                                                                              & (`se_u5mp2p_healthout_z')                                                                         & (`se_u5mp2p_mortrate_05')                                                                         \\
{res}{txt}
{com}.         tex \midrule
{res}{txt}
{com}.         tex \multirow{c -(}2{c )-}{c -(}*{c )-}{c -(}Treat{c )-}                                     & `est_boutside_commtg_z' & `est_boutside_h_ctzpre_z' & `est_boutside_urate_z'                            & `est_boutside_treatqual_z'                                                                             & `est_boutside_patsat_z'                                                                              & `est_boutside_healthout_z'                                                                          & `est_boutside_mortrate_05'                                                                          \\
{res}{txt}
{com}.     tex                                                            & (`se_boutside_commtg_z') & (`se_boutside_h_ctzpre_z') & (`se_boutside_urate_z')                          & (`se_boutside_treatqual_z')                                                                           & (`se_boutside_patsat_z')                                                                              & (`se_boutside_healthout_z')                                                                         & (`se_boutside_mortrate_05')                                                                         \\
{res}{txt}
{com}.         tex \multirow{c -(}2{c )-}{c -(}*{c )-}{c -(}Treat*Few alternative options{c )-}                                 & `est_tmxoutside_commtg_z' & `est_tmxoutside_h_ctzpre_z'    & `est_tmxoutside_urate_z'                            & `est_tmxoutside_treatqual_z'                                                                             & `est_tmxoutside_patsat_z'                                                                              & `est_tmxoutside_healthout_z'                                                                          & `est_tmxoutside_mortrate_05'                                                                          \\
{res}{txt}
{com}.     tex                                                            & (`se_tmxoutside_commtg_z') & (`se_tmxoutside_h_ctzpre_z') & (`se_tmxoutside_urate_z')                          & (`se_tmxoutside_treatqual_z')                                                                           & (`se_tmxoutside_patsat_z')                                                                              & (`se_tmxoutside_healthout_z')                                                                         & (`se_tmxoutside_mortrate_05')                                                                         \\
{res}{txt}
{com}.         tex \multirow{c -(}2{c )-}{c -(}*{c )-}{c -(}Few alternative options{c )-}                                     & `est_smoutside_commtg_z'  & `est_smoutside_h_ctzpre_z'  & `est_smoutside_urate_z'                            & `est_smoutside_treatqual_z'                                                                             & `est_smoutside_patsat_z'                                                                              & `est_smoutside_healthout_z'                                                                          & `est_smoutside_mortrate_05'                                                                          \\
{res}{txt}
{com}.     tex                                                            & (`se_smoutside_commtg_z') & (`se_smoutside_h_ctzpre_z') & (`se_smoutside_urate_z')                          & (`se_smoutside_treatqual_z')                                                                           & (`se_smoutside_patsat_z')                                                                              & (`se_smoutside_healthout_z')                                                                         & (`se_smoutside_mortrate_05')                                                                         \\
{res}{txt}
{com}.         tex \multirow{c -(}2{c )-}{c -(}*{c )-}{c -(}Treat+Treat*Few alternative options{c )-}                                     & `est_outside_commtg_z' & `est_outside_h_ctzpre_z' & `est_outside_urate_z'                            & `est_outside_treatqual_z'                                                                             & `est_outside_patsat_z'                                                                              & `est_outside_healthout_z'                                                                          & `est_outside_mortrate_05'                                                                          \\
{res}{txt}
{com}.     tex                                                            & (`se_outside_commtg_z')  & (`se_outside_h_ctzpre_z')  & (`se_outside_urate_z')                          & (`se_outside_treatqual_z')                                                                           & (`se_outside_patsat_z')                                                                              & (`se_outside_healthout_z')                                                                         & (`se_outside_mortrate_05')                                                                         \\
{res}{txt}
{com}.         tex \midrule
{res}{txt}
{com}.         tex \multirow{c -(}2{c )-}{c -(}*{c )-}{c -(}Treat{c )-}                                     & `est_ruralarea_commtg_z' & `est_ruralarea_h_ctzpre_z' & `est_ruralarea_urate_z'                            & `est_ruralarea_treatqual_z'                                                                             & `est_ruralarea_patsat_z'                                                                              & `est_ruralarea_healthout_z'                                                                          & `est_ruralarea_mortrate_05'                                                                          \\
{res}{txt}
{com}.     tex                                                            & (`se_ruralarea_commtg_z')  & (`se_ruralarea_h_ctzpre_z')  & (`se_ruralarea_urate_z')                          & (`se_ruralarea_treatqual_z')                                                                           & (`se_ruralarea_patsat_z')                                                                              & (`se_ruralarea_healthout_z')                                                                         & (`se_ruralarea_mortrate_05')                                                                         \\
{res}{txt}
{com}.         tex \multirow{c -(}2{c )-}{c -(}*{c )-}{c -(}Treat*Rural{c )-}                                     & `est_tmxrural_commtg_z' & `est_tmxrural_h_ctzpre_z' & `est_tmxrural_urate_z'                            & `est_tmxrural_treatqual_z'                                                                             & `est_tmxrural_patsat_z'                                                                              & `est_tmxrural_healthout_z'                                                                          & `est_tmxrural_mortrate_05'                                                                          \\
{res}{txt}
{com}.     tex                                                            & (`se_tmxrural_commtg_z')  & (`se_tmxrural_h_ctzpre_z')  & (`se_tmxrural_urate_z')                          & (`se_tmxrural_treatqual_z')                                                                           & (`se_tmxrural_patsat_z')                                                                              & (`se_tmxrural_healthout_z')                                                                         & (`se_tmxrural_mortrate_05')                                                                         \\
{res}{txt}
{com}.         tex \multirow{c -(}2{c )-}{c -(}*{c )-}{c -(}Rural{c )-}                                     & `est_smrural_commtg_z' & `est_smrural_h_ctzpre_z' & `est_smrural_urate_z'                            & `est_smrural_treatqual_z'                                                                             & `est_smrural_patsat_z'                                                                              & `est_smrural_healthout_z'                                                                          & `est_smrural_mortrate_05'                                                                          \\
{res}{txt}
{com}.     tex                                                            & (`se_smrural_commtg_z') & (`se_smrural_h_ctzpre_z') & (`se_smrural_urate_z')                          & (`se_smrural_treatqual_z')                                                                           & (`se_smrural_patsat_z')                                                                              & (`se_smrural_healthout_z')                                                                         & (`se_smrural_mortrate_05')                                                                         \\
{res}{txt}
{com}.         tex \multirow{c -(}2{c )-}{c -(}*{c )-}{c -(}Treat+Treat*Rural{c )-}                         & `est_urbanarea_commtg_z' & `est_urbanarea_h_ctzpre_z'            & `est_urbanarea_urate_z'                            & `est_urbanarea_treatqual_z'                                                                             & `est_urbanarea_patsat_z'                                                                              & `est_urbanarea_healthout_z'                                                                          & `est_urbanarea_mortrate_05'                                                                          \\
{res}{txt}
{com}.     tex                                                            & (`se_urbanarea_commtg_z') & (`se_urbanarea_h_ctzpre_z') & (`se_urbanarea_urate_z')                          & (`se_urbanarea_treatqual_z')                                                                           & (`se_urbanarea_patsat_z')                                                                              & (`se_urbanarea_healthout_z')                                                                         & (`se_urbanarea_mortrate_05')                                                                         \\
{res}{txt}
{com}.         tex \midrule
{res}{txt}
{com}.         tex \multirow{c -(}2{c )-}{c -(}*{c )-}{c -(}Treat{c )-}                                     & `est_bngo_commtg_z' & `est_bngo_h_ctzpre_z' & `est_bngo_urate_z'                            & `est_bngo_treatqual_z'                                                                             & `est_bngo_patsat_z'                                                                              & `est_bngo_healthout_z'                                                                          & `est_bngo_mortrate_05'                                                                          \\
{res}{txt}
{com}.     tex                                                            & (`se_bngo_commtg_z') & (`se_bngo_h_ctzpre_z') & (`se_bngo_urate_z')                          & (`se_bngo_treatqual_z')                                                                           & (`se_bngo_patsat_z')                                                                              & (`se_bngo_healthout_z')                                                                         & (`se_bngo_mortrate_05')                                                                         \\
{res}{txt}
{com}.         tex \multirow{c -(}2{c )-}{c -(}*{c )-}{c -(}Treat*No health NGO present{c )-}                                     & `est_tmxngo_commtg_z' & `est_tmxngo_h_ctzpre_z' & `est_tmxngo_urate_z'                            & `est_tmxngo_treatqual_z'                                                                             & `est_tmxngo_patsat_z'                                                                              & `est_tmxngo_healthout_z'                                                                          & `est_tmxngo_mortrate_05'                                                                          \\
{res}{txt}
{com}.     tex                                                            & (`se_tmxngo_commtg_z') & (`se_tmxngo_h_ctzpre_z') & (`se_tmxngo_urate_z')                          & (`se_tmxngo_treatqual_z')                                                                           & (`se_tmxngo_patsat_z')                                                                              & (`se_tmxngo_healthout_z')                                                                         & (`se_tmxngo_mortrate_05')                                                                         \\
{res}{txt}
{com}.         tex \multirow{c -(}2{c )-}{c -(}*{c )-}{c -(}No health NGO present{c )-}                                     & `est_smngo_commtg_z' & `est_smngo_h_ctzpre_z' & `est_smngo_urate_z'                            & `est_smngo_treatqual_z'                                                                             & `est_smngo_patsat_z'                                                                              & `est_smngo_healthout_z'                                                                          & `est_smngo_mortrate_05'                                                                          \\
{res}{txt}
{com}.     tex                                                            & (`se_smngo_commtg_z') & (`se_smngo_h_ctzpre_z')   & (`se_smngo_urate_z')                          & (`se_smngo_treatqual_z')                                                                           & (`se_smngo_patsat_z')                                                                              & (`se_smngo_healthout_z')                                                                         & (`se_smngo_mortrate_05')                                                                         \\
{res}{txt}
{com}.         tex \multirow{c -(}2{c )-}{c -(}*{c )-}{c -(}Treat+Treat*No health NGO present{c )-}                                     & `est_ngo_commtg_z' & `est_ngo_h_ctzpre_z' & `est_ngo_urate_z'                            & `est_ngo_treatqual_z'                                                                             & `est_ngo_patsat_z'                                                                              & `est_ngo_healthout_z'                                                                          & `est_ngo_mortrate_05'                                                                          \\
{res}{txt}
{com}.     tex                                                            & (`se_ngo_commtg_z') & (`se_ngo_h_ctzpre_z') & (`se_ngo_urate_z')                          & (`se_ngo_treatqual_z')                                                                           & (`se_ngo_patsat_z')                                                                              & (`se_ngo_healthout_z')                                                                         & (`se_ngo_mortrate_05')                                                                         \\
{res}{txt}
{com}.         tex \bottomrule
{res}{txt}
{com}.         tex \end{c -(}tabular{c )-}
{res}{txt}
{com}.         tex \end{c -(}table{c )-}
{res}{txt}
{com}.         texdoc close
{txt}(texdoc output written to {browse `"/Users/fredericcochinard/Dropbox/ACT_Health_JOP_replication_file/3.Tables and Figures/Tables/TableI22.tex"':/Users/fredericcochinard/Dropbox/ACT_Health_JOP_replication_file/3.Tables and Figures/Tables/TableI22.tex})
{res}{txt}
{com}.         
.         texdoc init "${c -(}tables{c )-}/TableI23.tex", replace force
{res}{txt}(texdoc output file is /Users/fredericcochinard/Dropbox/ACT_Health_JOP_replication_file/3.Tables and Figures/Tables/TableI23.tex)
{res}{txt}
{com}.         tex \begin{c -(}table{c )-}[htbp]\centering
{res}{txt}
{com}.         tex \scriptsize
{res}{txt}
{com}.         tex \def\sym#1{c -(}\ifmmode^{c -(}#1{c )-}\else\(^{c -(}#1{c )-}\)\fi{c )-}
{res}{txt}
{com}.         tex \caption{c -(}Subgroup treatment effects on main outcomes - Community engagement hypothesis{c )-}
{res}{txt}
{com}.         tex \begin{c -(}tabular{c )-}{c -(}l*{c -(}8{c )-}{c -(}g{c )-}{c )-}
{res}{txt}
{com}.         tex \toprule
{res}{txt}
{com}.         tex                                                                                     & \multicolumn{c -(}1{c )-}{c -(}c{c )-}{c -(}(1){c )-}         & \multicolumn{c -(}1{c )-}{c -(}c{c )-}{c -(}(2){c )-}                                                          & \multicolumn{c -(}1{c )-}{c -(}c{c )-}{c -(}(3){c )-}                                                             & \multicolumn{c -(}1{c )-}{c -(}c{c )-}{c -(}(4){c )-}                                                        & \multicolumn{c -(}1{c )-}{c -(}c{c )-}{c -(}(5){c )-}   & \multicolumn{c -(}1{c )-}{c -(}c{c )-}{c -(}(6){c )-}  & \multicolumn{c -(}1{c )-}{c -(}c{c )-}{c -(}(7){c )-}                                                       \\
{res}{txt}
{com}.         tex                                                                                                                                     & \multicolumn{c -(}1{c )-}{c -(}c{c )-}{c -(}\textbf{c -(}\begin{c -(}tabular{c )-}[c]{c -(}@{c -(}{c )-}c@{c -(}{c )-}{c )-}Citizen \\ monitoring\end{c -(}tabular{c )-}{c )-}{c )-} & \multicolumn{c -(}1{c )-}{c -(}c{c )-}{c -(}\textbf{c -(}\begin{c -(}tabular{c )-}[c]{c -(}@{c -(}{c )-}c@{c -(}{c )-}{c )-}Perceived \\ citizen \\ pressure\end{c -(}tabular{c )-}{c )-}{c )-}  & \multicolumn{c -(}1{c )-}{c -(}c{c )-}{c -(}\textbf{c -(}Utilization{c )-}{c )-} & \multicolumn{c -(}1{c )-}{c -(}c{c )-}{c -(}\textbf{c -(}\begin{c -(}tabular{c )-}[c]{c -(}@{c -(}{c )-}c@{c -(}{c )-}{c )-}Treatment \\ quality\end{c -(}tabular{c )-}{c )-}{c )-} & \multicolumn{c -(}1{c )-}{c -(}c{c )-}{c -(}\textbf{c -(}\begin{c -(}tabular{c )-}[c]{c -(}@{c -(}{c )-}c@{c -(}{c )-}{c )-}Patient \\ satisfaction\end{c -(}tabular{c )-}{c )-}{c )-} & \multicolumn{c -(}1{c )-}{c -(}c{c )-}{c -(}\textbf{c -(}\begin{c -(}tabular{c )-}[c]{c -(}@{c -(}{c )-}c@{c -(}{c )-}{c )-}Health \\ outcomes\end{c -(}tabular{c )-}{c )-}{c )-} & \multicolumn{c -(}1{c )-}{c -(}c{c )-}{c -(}\textbf{c -(}\begin{c -(}tabular{c )-}[c]{c -(}@{c -(}{c )-}c@{c -(}{c )-}{c )-}Child\\ mortality\end{c -(}tabular{c )-}{c )-}{c )-} \\
{res}{txt}
{com}.         tex  \midrule
{res}{txt}
{com}.         tex \multirow{c -(}2{c )-}{c -(}*{c )-}{c -(}Treat{c )-}                                     & `est_bembed_commtg_z' & `est_bembed_h_ctzpre_z' & `est_bembed_urate_z'                            & `est_bembed_treatqual_z'                                                                             & `est_bembed_patsat_z'                                                                              & `est_bembed_healthout_z'                                                                          & `est_bembed_mortrate_05'                                                                          \\
{res}{txt}
{com}.     tex                                                            & (`se_bembed_commtg_z') & (`se_bembed_h_ctzpre_z') & (`se_bembed_urate_z')                          & (`se_bembed_treatqual_z')                                                                           & (`se_bembed_patsat_z')                                                                              & (`se_bembed_healthout_z')                                                                         & (`se_bembed_mortrate_05')                                                                         \\
{res}{txt}
{com}.         tex \multirow{c -(}2{c )-}{c -(}*{c )-}{c -(}Treat*High embeddedness{c )-}                                     & `est_tmxembed_commtg_z' & `est_tmxembed_h_ctzpre_z' & `est_tmxembed_urate_z'                            & `est_tmxembed_treatqual_z'                                                                             & `est_tmxembed_patsat_z'                                                                              & `est_tmxembed_healthout_z'                                                                          & `est_tmxembed_mortrate_05'                                                                          \\
{res}{txt}
{com}.     tex                                                            & (`se_tmxembed_commtg_z') & (`se_tmxembed_h_ctzpre_z') & (`se_tmxembed_urate_z')                          & (`se_tmxembed_treatqual_z')                                                                           & (`se_tmxembed_patsat_z')                                                                              & (`se_tmxembed_healthout_z')                                                                         & (`se_tmxembed_mortrate_05')                                                                         \\
{res}{txt}
{com}.         tex \multirow{c -(}2{c )-}{c -(}*{c )-}{c -(}High embeddedness{c )-}                         & `est_smembed_commtg_z' & `est_smembed_h_ctzpre_z'            & `est_smembed_urate_z'                            & `est_smembed_treatqual_z'                                                                             & `est_smembed_patsat_z'                                                                              & `est_smembed_healthout_z'                                                                          & `est_smembed_mortrate_05'                                                                          \\
{res}{txt}
{com}.     tex                                                            & (`se_smembed_commtg_z') & (`se_smembed_h_ctzpre_z') & (`se_smembed_urate_z')                          & (`se_smembed_treatqual_z')                                                                           & (`se_smembed_patsat_z')                                                                              & (`se_smembed_healthout_z')                                                                         & (`se_smembed_mortrate_05')                                                                         \\
{res}{txt}
{com}.         tex \multirow{c -(}2{c )-}{c -(}*{c )-}{c -(}Treat+Treat*High embeddedness{c )-}                                     & `est_embed_commtg_z' & `est_embed_h_ctzpre_z' & `est_embed_urate_z'                            & `est_embed_treatqual_z'                                                                             & `est_embed_patsat_z'                                                                              & `est_embed_healthout_z'                                                                          & `est_embed_mortrate_05'                                                                          \\
{res}{txt}
{com}.     tex                                                            & (`se_embed_commtg_z') & (`se_embed_h_ctzpre_z') & (`se_embed_urate_z')                          & (`se_embed_treatqual_z')                                                                           & (`se_embed_patsat_z')                                                                              & (`se_embed_healthout_z')                                                                         & (`se_embed_mortrate_05')                                                                         \\
{res}{txt}
{com}.         tex \midrule
{res}{txt}
{com}.         tex \multirow{c -(}2{c )-}{c -(}*{c )-}{c -(}Treat{c )-}                                     & `est_bcap_commtg_z' & `est_bcap_h_ctzpre_z' & `est_bcap_urate_z'                            & `est_bcap_treatqual_z'                                                                             & `est_bcap_patsat_z'                                                                              & `est_bcap_healthout_z'                                                                          & `est_bcap_mortrate_05'                                                                          \\
{res}{txt}
{com}.     tex                                                            & (`se_bcap_commtg_z') & (`se_bcap_h_ctzpre_z') & (`se_bcap_urate_z')                          & (`se_bcap_treatqual_z')                                                                           & (`se_bcap_patsat_z')                                                                              & (`se_bcap_healthout_z')                                                                         & (`se_bcap_mortrate_05')                                                                         \\
{res}{txt}
{com}.         tex \multirow{c -(}2{c )-}{c -(}*{c )-}{c -(}Treat*High collective action potential{c )-}                                & `est_tmxcap_commtg_z' & `est_tmxcap_h_ctzpre_z'     & `est_tmxcap_urate_z'                            & `est_tmxcap_treatqual_z'                                                                             & `est_tmxcap_patsat_z'                                                                              & `est_tmxcap_healthout_z'                                                                          & `est_tmxcap_mortrate_05'                                                                          \\
{res}{txt}
{com}.     tex                                                            & (`se_tmxcap_commtg_z') & (`se_tmxcap_h_ctzpre_z') & (`se_tmxcap_urate_z')                          & (`se_tmxcap_treatqual_z')                                                                           & (`se_tmxcap_patsat_z')                                                                              & (`se_tmxcap_healthout_z')                                                                         & (`se_tmxcap_mortrate_05')                                                                         \\
{res}{txt}
{com}.         tex \multirow{c -(}2{c )-}{c -(}*{c )-}{c -(}High collective action potential{c )-}                                     & `est_smcap_commtg_z' & `est_smcap_h_ctzpre_z' & `est_smcap_urate_z'                            & `est_smcap_treatqual_z'                                                                             & `est_smcap_patsat_z'                                                                              & `est_smcap_healthout_z'                                                                          & `est_smcap_mortrate_05'                                                                          \\
{res}{txt}
{com}.     tex                                                            & (`se_smcap_commtg_z') & (`se_smcap_h_ctzpre_z') & (`se_smcap_urate_z')                          & (`se_smcap_treatqual_z')                                                                           & (`se_smcap_patsat_z')                                                                              & (`se_smcap_healthout_z')                                                                         & (`se_smcap_mortrate_05')                                                                         \\
{res}{txt}
{com}.         tex \multirow{c -(}2{c )-}{c -(}*{c )-}{c -(}Treat+Treat*High collective action potential{c )-}                                     & `est_cap_commtg_z' & `est_cap_h_ctzpre_z' & `est_cap_urate_z'                            & `est_cap_treatqual_z'                                                                             & `est_cap_patsat_z'                                                                              & `est_cap_healthout_z'                                                                          & `est_cap_mortrate_05'                                                                          \\
{res}{txt}
{com}.     tex                                                            & (`se_cap_commtg_z') & (`se_cap_h_ctzpre_z') & (`se_cap_urate_z')                          & (`se_cap_treatqual_z')                                                                           & (`se_cap_patsat_z')                                                                              & (`se_cap_healthout_z')                                                                         & (`se_cap_mortrate_05')                                                                         \\
{res}{txt}
{com}.         tex \midrule
{res}{txt}
{com}.         tex \multirow{c -(}2{c )-}{c -(}*{c )-}{c -(}Treat{c )-}                                     & `est_bcommtg_commtg_z'  & `est_bcommtg_h_ctzpre_z'  & `est_bcommtg_urate_z'                            & `est_bcommtg_treatqual_z'                                                                             & `est_bcommtg_patsat_z'                                                                              & `est_bcommtg_healthout_z'                                                                          & `est_bcommtg_mortrate_05'                                                                          \\
{res}{txt}
{com}.     tex                                                            & (`se_bcommtg_commtg_z') & (`se_bcommtg_h_ctzpre_z') & (`se_bcommtg_urate_z')                          & (`se_bcommtg_treatqual_z')                                                                           & (`se_bcommtg_patsat_z')                                                                              & (`se_bcommtg_healthout_z')                                                                         & (`se_bcommtg_mortrate_05')                                                                         \\
{res}{txt}
{com}.         tex \multirow{c -(}2{c )-}{c -(}*{c )-}{c -(}Treat*High community monitoring{c )-}                                     & `est_tmxcommtg_commtg_z' & `est_tmxcommtg_h_ctzpre_z' & `est_tmxcommtg_urate_z'                            & `est_tmxcommtg_treatqual_z'                                                                             & `est_tmxcommtg_patsat_z'                                                                              & `est_tmxcommtg_healthout_z'                                                                          & `est_tmxcommtg_mortrate_05'                                                                          \\
{res}{txt}
{com}.     tex                                                            & (`se_tmxcommtg_commtg_z') & (`se_tmxcommtg_h_ctzpre_z') & (`se_tmxcommtg_urate_z')                          & (`se_tmxcommtg_treatqual_z')                                                                           & (`se_tmxcommtg_patsat_z')                                                                              & (`se_tmxcommtg_healthout_z')                                                                         & (`se_tmxcommtg_mortrate_05')                                                                         \\
{res}{txt}
{com}.         tex \multirow{c -(}2{c )-}{c -(}*{c )-}{c -(}High community monitoring{c )-}                                 & `est_smcommtg_commtg_z' & `est_smcommtg_h_ctzpre_z'    & `est_smcommtg_urate_z'                            & `est_smcommtg_treatqual_z'                                                                             & `est_smcommtg_patsat_z'                                                                              & `est_smcommtg_healthout_z'                                                                          & `est_smcommtg_mortrate_05'                                                                          \\
{res}{txt}
{com}.     tex                                                            & (`se_smcommtg_commtg_z')  & (`se_smcommtg_h_ctzpre_z')  & (`se_smcommtg_urate_z')                          & (`se_smcommtg_treatqual_z')                                                                           & (`se_smcommtg_patsat_z')                                                                              & (`se_smcommtg_healthout_z')                                                                         & (`se_smcommtg_mortrate_05')                                                                         \\
{res}{txt}
{com}.         tex \multirow{c -(}2{c )-}{c -(}*{c )-}{c -(}Treat+Treat*High community monitoring{c )-}             & `est_commtg_commtg_z' & `est_commtg_h_ctzpre_z'                        & `est_commtg_urate_z'                            & `est_commtg_treatqual_z'                                                                             & `est_commtg_patsat_z'                                                                              & `est_commtg_healthout_z'                                                                          & `est_commtg_mortrate_05'                                                                          \\
{res}{txt}
{com}.     tex                                                            & (`se_commtg_commtg_z')  & (`se_commtg_h_ctzpre_z') & (`se_commtg_urate_z')                          & (`se_commtg_treatqual_z')                                                                           & (`se_commtg_patsat_z')                                                                              & (`se_commtg_healthout_z')                                                                         & (`se_commtg_mortrate_05')                                                                         \\
{res}{txt}
{com}.         tex \midrule
{res}{txt}
{com}.         tex \multirow{c -(}2{c )-}{c -(}*{c )-}{c -(}Treat{c )-}                                     & `est_beff_commtg_z' & `est_beff_h_ctzpre_z' & `est_beff_urate_z'                            & `est_beff_treatqual_z'                                                                             & `est_beff_patsat_z'                                                                              & `est_beff_healthout_z'                                                                          & `est_beff_mortrate_05'                                                                          \\
{res}{txt}
{com}.     tex                                                            & (`se_beff_commtg_z')  & (`se_beff_h_ctzpre_z') & (`se_beff_urate_z')                          & (`se_beff_treatqual_z')                                                                           & (`se_beff_patsat_z')                                                                              & (`se_beff_healthout_z')                                                                         & (`se_beff_mortrate_05')                                                                         \\
{res}{txt}
{com}.         tex \multirow{c -(}2{c )-}{c -(}*{c )-}{c -(}Treat*High efficacy{c )-}                                     & `est_tmxeff_commtg_z' & `est_tmxeff_h_ctzpre_z' & `est_tmxeff_urate_z'                            & `est_tmxeff_treatqual_z'                                                                             & `est_tmxeff_patsat_z'                                                                              & `est_tmxeff_healthout_z'                                                                          & `est_tmxeff_mortrate_05'                                                                          \\
{res}{txt}
{com}.     tex                                                            & (`se_tmxeff_commtg_z') & (`se_tmxeff_h_ctzpre_z') & (`se_tmxeff_urate_z')                          & (`se_tmxeff_treatqual_z')                                                                           & (`se_tmxeff_patsat_z')                                                                              & (`se_tmxeff_healthout_z')                                                                         & (`se_tmxeff_mortrate_05')                                                                         \\
{res}{txt}
{com}.         tex \multirow{c -(}2{c )-}{c -(}*{c )-}{c -(}High efficacy{c )-}                                     & `est_smeff_commtg_z' & `est_smeff_h_ctzpre_z' & `est_smeff_urate_z'                            & `est_smeff_treatqual_z'                                                                             & `est_smeff_patsat_z'                                                                              & `est_smeff_healthout_z'                                                                          & `est_smeff_mortrate_05'                                                                          \\
{res}{txt}
{com}.     tex                                                            & (`se_smeff_commtg_z') & (`se_smeff_h_ctzpre_z') & (`se_smeff_urate_z')                          & (`se_smeff_treatqual_z')                                                                           & (`se_smeff_patsat_z')                                                                              & (`se_smeff_healthout_z')                                                                         & (`se_smeff_mortrate_05')                                                                         \\
{res}{txt}
{com}.         tex \multirow{c -(}2{c )-}{c -(}*{c )-}{c -(}Treat+Treat*High efficacy{c )-}                                     & `est_eff_commtg_z' & `est_eff_h_ctzpre_z' & `est_eff_urate_z'                            & `est_eff_treatqual_z'                                                                             & `est_eff_patsat_z'                                                                              & `est_eff_healthout_z'                                                                          & `est_eff_mortrate_05'                                                                          \\
{res}{txt}
{com}.     tex                                                            & (`se_eff_commtg_z') & (`se_eff_h_ctzpre_z') & (`se_eff_urate_z')                          & (`se_eff_treatqual_z')                                                                           & (`se_eff_patsat_z')                                                                              & (`se_eff_healthout_z')                                                                         & (`se_eff_mortrate_05')                                                                         \\
{res}{txt}
{com}.         tex \midrule
{res}{txt}
{com}.         tex \multirow{c -(}2{c )-}{c -(}*{c )-}{c -(}Treat{c )-}                                     & `est_bdistance_commtg_z' & `est_bdistance_h_ctzpre_z' & `est_bdistance_urate_z'                            & `est_bdistance_treatqual_z'                                                                             & `est_bdistance_patsat_z'                                                                              & `est_bdistance_healthout_z'                                                                          & `est_bdistance_mortrate_05'                                                                          \\
{res}{txt}
{com}.     tex                                                            & (`se_bdistance_commtg_z') & (`se_bdistance_h_ctzpre_z') & (`se_bdistance_urate_z')                          & (`se_bdistance_treatqual_z')                                                                           & (`se_bdistance_patsat_z')                                                                              & (`se_bdistance_healthout_z')                                                                         & (`se_bdistance_mortrate_05')                                                                         \\
{res}{txt}
{com}.         tex \multirow{c -(}2{c )-}{c -(}*{c )-}{c -(}Treat*HC near{c )-}                                     & `est_tmxdist_commtg_z' & `est_tmxdist_h_ctzpre_z' & `est_tmxdist_urate_z'                            & `est_tmxdist_treatqual_z'                                                                             & `est_tmxdist_patsat_z'                                                                              & `est_tmxdist_healthout_z'                                                                          & `est_tmxdist_mortrate_05'                                                                          \\
{res}{txt}
{com}.     tex                                                            & (`se_tmxdist_commtg_z')  & (`se_tmxdist_h_ctzpre_z')  & (`se_tmxdist_urate_z')                          & (`se_tmxdist_treatqual_z')                                                                           & (`se_tmxdist_patsat_z')                                                                              & (`se_tmxdist_healthout_z')                                                                         & (`se_tmxdist_mortrate_05')                                                                         \\
{res}{txt}
{com}.         tex \multirow{c -(}2{c )-}{c -(}*{c )-}{c -(}HC near{c )-}                                     & `est_smdist_commtg_z' & `est_smdist_h_ctzpre_z' & `est_smdist_urate_z'                            & `est_smdist_treatqual_z'                                                                             & `est_smdist_patsat_z'                                                                              & `est_smdist_healthout_z'                                                                          & `est_smdist_mortrate_05'                                                                          \\
{res}{txt}
{com}.     tex                                                            & (`se_smdist_commtg_z') & (`se_smdist_h_ctzpre_z') & (`se_smdist_urate_z')                          & (`se_smdist_treatqual_z')                                                                           & (`se_smdist_patsat_z')                                                                              & (`se_smdist_healthout_z')                                                                         & (`se_smdist_mortrate_05')                                                                         \\
{res}{txt}
{com}.         tex \multirow{c -(}2{c )-}{c -(}*{c )-}{c -(}Treat+Treat*HC near{c )-}                                     & `est_distance_commtg_z' & `est_distance_h_ctzpre_z' & `est_distance_urate_z'                            & `est_distance_treatqual_z'                                                                             & `est_distance_patsat_z'                                                                              & `est_distance_healthout_z'                                                                          & `est_distance_mortrate_05'                                                                          \\
{res}{txt}
{com}.     tex                                                            & (`se_distance_commtg_z')  & (`se_distance_h_ctzpre_z')  & (`se_distance_urate_z')                          & (`se_distance_treatqual_z')                                                                           & (`se_distance_patsat_z')                                                                              & (`se_distance_healthout_z')                                                                         & (`se_distance_mortrate_05')                                                                         \\
{res}{txt}
{com}.         tex \bottomrule
{res}{txt}
{com}.         tex \end{c -(}tabular{c )-}
{res}{txt}
{com}.         tex \end{c -(}table{c )-}
{res}{txt}
{com}.         texdoc close
{txt}(texdoc output written to {browse `"/Users/fredericcochinard/Dropbox/ACT_Health_JOP_replication_file/3.Tables and Figures/Tables/TableI23.tex"':/Users/fredericcochinard/Dropbox/ACT_Health_JOP_replication_file/3.Tables and Figures/Tables/TableI23.tex})
{res}{txt}
{com}.         
.         *************************************************************************************************************************************
.         * Table I24: Estimated treatment effects on treatment quality, by baseline level of development in the health center catchment area *
.         *************************************************************************************************************************************
.         
.         texdoc init "${c -(}tables{c )-}/TableI24.tex", replace force
{res}{txt}(texdoc output file is /Users/fredericcochinard/Dropbox/ACT_Health_JOP_replication_file/3.Tables and Figures/Tables/TableI24.tex)
{res}{txt}
{com}.         tex \begin{c -(}table{c )-}[htbp]\centering
{res}{txt}
{com}.         tex \scriptsize
{res}{txt}
{com}.         tex \def\sym#1{c -(}\ifmmode^{c -(}#1{c )-}\else\(^{c -(}#1{c )-}\)\fi{c )-}
{res}{txt}
{com}.         tex \caption{c -(}Estimated treatment effects on treatment quality, by baseline level of development in the health center catchment area{c )-}
{res}{txt}
{com}.         tex \begin{c -(}tabular{c )-}{c -(}lllllll{c )-}
{res}{txt}
{com}.         tex \toprule
{res}{txt}
{com}.         tex \multicolumn{c -(}2{c )-}{c -(}c{c )-}{c -(}Less developed{c )-}   &  & \multicolumn{c -(}2{c )-}{c -(}c{c )-}{c -(}More developed Subgroup{c )-} & &  \\ \cline{c -(}1-2{c )-} \cline{c -(}4-5{c )-}
{res}{txt}
{com}.         tex Subgroup                       & ATE &  & Subgroup                            & ATE   & Difference Significant  \\ \cline{c -(}1-5{c )-}
{res}{txt}
{com}.         tex HC2                            & `est_hc2_treatqual_z'    &  & HC3                                 & `est_hc3_treatqual_z'      & no  \\
{res}{txt}
{com}.         tex Low BL TQ                      &  `est_treatqual_treatqual_z'   &  & High BL TQ                          &  `est_btreatqual_treatqual_z'     & no \\
{res}{txt}
{com}.         tex Few alternative options &  `est_outside_treatqual_z'   &  & Many alternative options    &  `est_boutside_treatqual_z'     & no \\
{res}{txt}
{com}.         tex HC Far &  `est_bdistance_treatqual_z'   &  & HC Near    &  `est_distance_treatqual_z'     & no \\
{res}{txt}
{com}.         tex Rural                          &  `est_urbanarea_treatqual_z'   &  & Urban                               &  `est_ruralarea_treatqual_z'     & yes \\
{res}{txt}
{com}.         tex No health NGO present          &  `est_ngo_treatqual_z'  &  & Health NGO present                  &  `est_bngo_treatqual_z'     &  no \\
{res}{txt}
{com}.         tex High BL U5MR                   &  `est_u5m_treatqual_z'   &  & Low BL U5MR                         &  `est_bu5m_treatqual_z'     &  no \\
{res}{txt}
{com}.         tex \bottomrule
{res}{txt}
{com}.         tex \end{c -(}tabular{c )-}
{res}{txt}
{com}.         tex \end{c -(}table{c )-}
{res}{txt}
{com}.         texdoc close
{txt}(texdoc output written to {browse `"/Users/fredericcochinard/Dropbox/ACT_Health_JOP_replication_file/3.Tables and Figures/Tables/TableI24.tex"':/Users/fredericcochinard/Dropbox/ACT_Health_JOP_replication_file/3.Tables and Figures/Tables/TableI24.tex})
{res}{txt}
{com}.         
.         *****************************************************************************
.         * Table H25: Subgroup effects on child mortality by baseline mortality rate *
.         *****************************************************************************
.         
.         * Running subgroup analyse by position toward child mortality
.         
.         use "${c -(}usedata{c )-}/u5mortality_ctrls.dta", clear
{txt}
{com}.         
.         * We calculate the threshold
.         
.         sum u5mortality if treatment == 0

{txt}    Variable {c |}        Obs        Mean    Std. Dev.       Min        Max
{hline 13}{c +}{hline 57}
{space 1}u5mortality {c |}{res}         25    144.3995    94.44639          0   452.4573
{txt}
{com}.         
.         local threshold_low = `r(mean)' - `r(sd)'
{txt}
{com}.         local threshold_high = `r(mean)' + `r(sd)'
{txt}
{com}.                 
.         use "${c -(}usedata{c )-}/baseline_U5M.dta", clear
{txt}
{com}.         
.         * We calculate the sample that corresponds to ACT Health HCs with same starting condition than P2P
.         
.         gen u5_p2p = (b_u5mortality >= `threshold_low' & b_u5mortality <= `threshold_high' )
{txt}
{com}.         
.         * The median should be considered at 58th otherwise it is 0
.         * 58th pctile
.         
.         egen u5m_58 = pctile(b_u5mortality), p(58.25)
{txt}
{com}.         gen u5_b58 = (b_u5mortality >= u5m_58)
{txt}
{com}.         
.         * 66th pctile
.         
.         egen u5m_66 = pctile(b_u5mortality), p(66)
{txt}
{com}.         gen u5_b66 = (b_u5mortality >= u5m_66)
{txt}
{com}.         
.         * 75th pctile
.         
.         egen u5m_75 = pctile(b_u5mortality), p(75)
{txt}
{com}.         gen u5_b75 = (b_u5mortality >= u5m_75)
{txt}
{com}.         
.         * 90th pctile
.         
.         egen u5m_90 = pctile(b_u5mortality), p(90)
{txt}
{com}.         gen u5_b90 = (b_u5mortality >= u5m_90)
{txt}
{com}.         
.         keep hc_id u5_*
{txt}
{com}.         
.         tempfile bu5m
{txt}
{com}.         sa "`bu5m'"
{txt}file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.00000b saved

{com}.         
.         * We now run the subgroup analysis for each components
. 
.         use "${c -(}usedata{c )-}/chp_el_light_dataset.dta", clear
{txt}
{com}.         
.         * We merge the different indices
.         
.         merge m:1 hc_id using "`bu5m'"
{res}
{txt}{col 5}Result{col 38}# of obs.
{col 5}{hline 41}
{col 5}not matched{col 30}{res}               0
{txt}{col 5}matched{col 30}{res}          15,295{txt}  (_merge==3)
{col 5}{hline 41}

{com}.         
.         * We will create the interaction terms
.         
.         foreach var in u5_b58 u5_b66 u5_b75 u5_b90 {c -(}
{txt}  2{com}.         
.                 gen treatfull_`var' = treatfull * `var'
{txt}  3{com}.                 la var treatfull_`var' "treatfull * `var'"
{txt}  4{com}.                 
.                 {c )-}
{txt}(7,677 missing values generated)
(7,677 missing values generated)
(7,677 missing values generated)
(7,677 missing values generated)

{com}.         
.         * We create it for endline and bline and one only irrespective to the timeline
.         
.         local indices_hc mortrate_05
{txt}
{com}.         
.         * We create for each level
.         
.         * Subgroup Effects: 58th percentile
.         
.         foreach x in `indices_hc' {c -(}
{txt}  2{com}.         
.                 areg e_`x' treatfull treatfull_u5_b58 u5_b58 b_`x' `e_controls_tfull_hc' `treatfull_hc_int_e_controls' if uniquehc == 1, robust a(district)
{txt}  3{com}.                 eststo e_`x'_u5_b58
{txt}  4{com}.                 local n_bu5_b58_`x' = string(e(N),"%9.0fc")
{txt}  5{com}.                 local r2_bu5_b58_`x' = string(e(r2),"%9.3fc")
{txt}  6{com}. 
.                 lincom treatfull + treatfull_u5_b58 
{txt}  7{com}.                 local est_u5_b58_`x' = r(estimate)
{txt}  8{com}.                 local se_u5_b58_`x' = r(se)
{txt}  9{com}.                 test treatfull + treatfull_u5_b58 = 0
{txt} 10{com}.                 local p_u5_b58_`x' = r(p)
{txt} 11{com}.                 
.                 local est_bu5_b58_`x' = string(_b[treatfull],"%9.3fc")
{txt} 12{com}.                 local se_bu5_b58_`x' = string(_se[treatfull],"%9.3fc")
{txt} 13{com}.                 local p_bu5_b58_`x' = (2 * ttail(e(df_r), abs(_b[treatfull]/_se[treatfull])))
{txt} 14{com}.                 
.                 local est_tmxbu5_b58_`x' = string(_b[treatfull_u5_b58],"%9.3fc")
{txt} 15{com}.                 local se_tmxbu5_b58_`x' = string(_se[treatfull_u5_b58],"%9.3fc")
{txt} 16{com}.                 local p_tmxbu5_b58_`x' = (2 * ttail(e(df_r), abs(_b[treatfull_u5_b58]/_se[treatfull_u5_b58])))
{txt} 17{com}.                 
.                 local est_smbu5_b58_`x' = string(_b[u5_b58],"%9.3fc")
{txt} 18{com}.                 local se_smbu5_b58_`x' = string(_se[u5_b58],"%9.3fc")
{txt} 19{com}.                 local p_smbu5_b58_`x' = (2 * ttail(e(df_r), abs(_b[u5_b58]/_se[u5_b58])))
{txt} 20{com}.                 
.                 local est_cbu5_b58_`x' = string(_b[_cons],"%9.3fc")
{txt} 21{com}.                 local se_cbu5_b58_`x' = string(_se[_cons],"%9.3fc")
{txt} 22{com}.                 local p_cbu5_b58_`x' = (2 * ttail(e(df_r), abs(_b[_cons]/_se[_cons])))
{txt} 23{com}.                 
.                 foreach var in bu5_b58 tmxbu5_b58 smbu5_b58 cbu5_b58 {c -(}
{txt} 24{com}.                 
.                         gen sign_`var'_zero_`x' = (`p_`var'_`x''>0.1)
{txt} 25{com}.                         gen sign_`var'_p1s_`x' = (`p_`var'_`x''<=0.1 & `p_`var'_`x''>0.05 & `est_`var'_`x''>0)
{txt} 26{com}.                         gen sign_`var'_p2s_`x' = (`p_`var'_`x''<=0.05 & `p_`var'_`x''>0.01 & `est_`var'_`x''>0)
{txt} 27{com}.                         gen sign_`var'_p3s_`x' = (`p_`var'_`x''<=0.01 & `p_`var'_`x''>=0 & `est_`var'_`x''>0)
{txt} 28{com}.                         gen sign_`var'_m1s_`x' = (`p_`var'_`x''<=0.1 & `p_`var'_`x''>0.05 & `est_`var'_`x''<0)
{txt} 29{com}.                         gen sign_`var'_m2s_`x' = (`p_`var'_`x''<=0.05 & `p_`var'_`x''>0.01 & `est_`var'_`x''<0)
{txt} 30{com}.                         gen sign_`var'_m3s_`x' = (`p_`var'_`x''<=0.01 & `p_`var'_`x''>=0 & `est_`var'_`x''<0)
{txt} 31{com}.                         
. 
.                         if sign_`var'_p1s_`x' == 1 {c -(}
{txt} 32{com}.                                         local sign_`var'_`x' = "\cellcolor[HTML]{c -(}EFEFEF{c )-}+"
{txt} 33{com}.                                         local est_`var'_`x' = "`est_`var'_`x''*"
{txt} 34{com}.                                         {c )-}
{txt} 35{com}.                                         
.                         if sign_`var'_p2s_`x' == 1 {c -(}    
{txt} 36{com}.                                         local sign_`var'_`x' = "\cellcolor[HTML]{c -(}C0C0C0{c )-}+"
{txt} 37{com}.                                         local est_`var'_`x' = "`est_`var'_`x''**"
{txt} 38{com}.                                         {c )-}
{txt} 39{com}.                                         
.                         if sign_`var'_p3s_`x' == 1 {c -(}    
{txt} 40{com}.                                         local sign_`var'_`x' = "\cellcolor[HTML]{c -(}9B9B9B{c )-}+"
{txt} 41{com}.                                         local est_`var'_`x' = "`est_`var'_`x''***"
{txt} 42{com}.                                         {c )-}
{txt} 43{com}.                                 
.                         if sign_`var'_m1s_`x' == 1 {c -(}
{txt} 44{com}.                                         local sign_`var'_`x' = "\cellcolor[HTML]{c -(}EFEFEF{c )-}-"
{txt} 45{com}.                                         local est_`var'_`x' = "`est_`var'_`x''*"
{txt} 46{com}.                                         {c )-}
{txt} 47{com}.                                         
.                         if sign_`var'_m2s_`x' == 1 {c -(}    
{txt} 48{com}.                                         local sign_`var'_`x' = "\cellcolor[HTML]{c -(}C0C0C0{c )-}-"
{txt} 49{com}.                                         local est_`var'_`x' = "`est_`var'_`x''**"
{txt} 50{com}.                                         {c )-}
{txt} 51{com}.                                         
.                         if sign_`var'_m3s_`x' == 1 {c -(}    
{txt} 52{com}.                                         local sign_`var'_`x' = "\cellcolor[HTML]{c -(}9B9B9B{c )-}-"
{txt} 53{com}.                                         local est_`var'_`x' = "`est_`var'_`x''***"
{txt} 54{com}.                                         {c )-}
{txt} 55{com}.                                 
.                         if sign_`var'_zero_`x' == 1 {c -(}
{txt} 56{com}.                                 local sign_`var'_`x' = "0"
{txt} 57{com}.                                 {c )-}
{txt} 58{com}.                                 
.                         {c )-}
{txt} 59{com}.                 
.                 gen sign_u5_b58_zero_`x' = (`p_u5_b58_`x''>0.1)
{txt} 60{com}.                 gen sign_u5_b58_p1s_`x' = (`p_u5_b58_`x''<=0.1 & `p_u5_b58_`x''>0.05 & `est_u5_b58_`x''>0)
{txt} 61{com}.                 gen sign_u5_b58_p2s_`x' = (`p_u5_b58_`x''<=0.05 & `p_u5_b58_`x''>0.01 & `est_u5_b58_`x''>0)
{txt} 62{com}.                 gen sign_u5_b58_p3s_`x' = (`p_u5_b58_`x''<=0.01 & `p_u5_b58_`x''>=0 & `est_u5_b58_`x''>0)
{txt} 63{com}.                 gen sign_u5_b58_m1s_`x' = (`p_u5_b58_`x''<=0.1 & `p_u5_b58_`x''>0.05 & `est_u5_b58_`x''<0)
{txt} 64{com}.                 gen sign_u5_b58_m2s_`x' = (`p_u5_b58_`x''<=0.05 & `p_u5_b58_`x''>0.01 & `est_u5_b58_`x''<0)
{txt} 65{com}.                 gen sign_u5_b58_m3s_`x' = (`p_u5_b58_`x''<=0.01 & `p_u5_b58_`x''>=0 & `est_u5_b58_`x''<0)
{txt} 66{com}.                 
.                 local p_u5_b58_`x' = string(`p_u5_b58_`x'',"%9.3fc")
{txt} 67{com}.                 local est_u5_b58_`x' = string(`est_u5_b58_`x'',"%9.3fc")
{txt} 68{com}.                 local se_u5_b58_`x' = string(`se_u5_b58_`x'',"%9.3fc")
{txt} 69{com}.                 
.                 if sign_u5_b58_p1s_`x' == 1 {c -(}
{txt} 70{com}.                                 local sign_u5_b58_`x' = "\cellcolor[HTML]{c -(}EFEFEF{c )-}+"
{txt} 71{com}.                                 local est_u5_b58_`x' = "`est_u5_b58_`x''*"
{txt} 72{com}.                                 {c )-}
{txt} 73{com}.                                 
.                 if sign_u5_b58_p2s_`x' == 1 {c -(}   
{txt} 74{com}.                                 local sign_u5_b58_`x' = "\cellcolor[HTML]{c -(}C0C0C0{c )-}+"
{txt} 75{com}.                                 local est_u5_b58_`x' = "`est_u5_b58_`x''**"
{txt} 76{com}.                                 {c )-}
{txt} 77{com}.                                 
.                 if sign_u5_b58_p3s_`x' == 1 {c -(}   
{txt} 78{com}.                                 local sign_u5_b58_`x' = "\cellcolor[HTML]{c -(}9B9B9B{c )-}+"
{txt} 79{com}.                                 local est_u5_b58_`x' = "`est_u5_b58_`x''***"
{txt} 80{com}.                                 {c )-}
{txt} 81{com}.                         
.                 if sign_u5_b58_m1s_`x' == 1 {c -(}
{txt} 82{com}.                                 local sign_u5_b58_`x' = "\cellcolor[HTML]{c -(}EFEFEF{c )-}-"
{txt} 83{com}.                                 local est_u5_b58_`x' = "`est_u5_b58_`x''*"
{txt} 84{com}.                                 {c )-}
{txt} 85{com}.                                 
.                 if sign_u5_b58_m2s_`x' == 1 {c -(}   
{txt} 86{com}.                                 local sign_u5_b58_`x' = "\cellcolor[HTML]{c -(}C0C0C0{c )-}-"
{txt} 87{com}.                                 local est_u5_b58_`x' = "`est_u5_b58_`x''**"
{txt} 88{com}.                                 {c )-}
{txt} 89{com}.                                 
.                 if sign_u5_b58_m3s_`x' == 1 {c -(}   
{txt} 90{com}.                                 local sign_u5_b58_`x' = "\cellcolor[HTML]{c -(}9B9B9B{c )-}-"
{txt} 91{com}.                                 local est_u5_b58_`x' = "`est_u5_b58_`x''***"
{txt} 92{com}.                                 {c )-}
{txt} 93{com}.                         
.                 if sign_u5_b58_zero_`x' == 1 {c -(}
{txt} 94{com}.                         local sign_u5_b58_`x' = "0"
{txt} 95{com}.                         {c )-}
{txt} 96{com}.                 
.                 drop sign_*
{txt} 97{com}. 
.                 {c )-}
{res}
{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}       187
{txt}{col 49}F({res}  16{txt},{res}    155{txt}){col 67}= {res}      1.70
{txt}{col 49}Prob > F{col 67}= {res}    0.0515
{txt}{col 49}R-squared{col 67}= {res}    0.2196
{txt}{col 49}Adj R-squared{col 67}= {res}    0.0636
{txt}{col 49}Root MSE{col 67}= {res}    0.0530

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}e_mortrat~05{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2}-.0068948{col 26}{space 2}  .010735{col 37}{space 1}   -0.64{col 46}{space 3}0.522{col 54}{space 4}-.0281005{col 67}{space 3} .0143109
{txt}treatfull~58 {c |}{col 14}{res}{space 2}-.0115556{col 26}{space 2} .0156284{col 37}{space 1}   -0.74{col 46}{space 3}0.461{col 54}{space 4}-.0424277{col 67}{space 3} .0193165
{txt}{space 6}u5_b58 {c |}{col 14}{res}{space 2}-.0277925{col 26}{space 2} .0171626{col 37}{space 1}   -1.62{col 46}{space 3}0.107{col 54}{space 4}-.0616953{col 67}{space 3} .0061102
{txt}b_mortrat~05 {c |}{col 14}{res}{space 2} .2963616{col 26}{space 2} .1147817{col 37}{space 1}    2.58{col 46}{space 3}0.011{col 54}{space 4} .0696233{col 67}{space 3} .5230998
{txt}c_tf~_hc_hc2 {c |}{col 14}{res}{space 2} .0090423{col 26}{space 2} .0169429{col 37}{space 1}    0.53{col 46}{space 3}0.594{col 54}{space 4}-.0244264{col 67}{space 3} .0425111
{txt}c_tfull_hc~l {c |}{col 14}{res}{space 2} .0014211{col 26}{space 2} .0212066{col 37}{space 1}    0.07{col 46}{space 3}0.947{col 54}{space 4}-.0404701{col 67}{space 3} .0433123
{txt}c_tfull_hc~s {c |}{col 14}{res}{space 2} .0148257{col 26}{space 2} .0224857{col 37}{space 1}    0.66{col 46}{space 3}0.511{col 54}{space 4}-.0295922{col 67}{space 3} .0592437
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2} .0270842{col 26}{space 2} .0560202{col 37}{space 1}    0.48{col 46}{space 3}0.629{col 54}{space 4}-.0835773{col 67}{space 3} .1377457
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2}-.0067312{col 26}{space 2} .0072686{col 37}{space 1}   -0.93{col 46}{space 3}0.356{col 54}{space 4}-.0210895{col 67}{space 3} .0076271
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2} .0161457{col 26}{space 2}  .021238{col 37}{space 1}    0.76{col 46}{space 3}0.448{col 54}{space 4}-.0258075{col 67}{space 3} .0580989
{txt}c_treatful.. {c |}{col 14}{res}{space 2} -.003552{col 26}{space 2} .0195872{col 37}{space 1}   -0.18{col 46}{space 3}0.856{col 54}{space 4}-.0422444{col 67}{space 3} .0351404
{txt}c_treatful.. {c |}{col 14}{res}{space 2}-.0001817{col 26}{space 2}  .023424{col 37}{space 1}   -0.01{col 46}{space 3}0.994{col 54}{space 4}-.0464532{col 67}{space 3} .0460898
{txt}c_treatful.. {c |}{col 14}{res}{space 2}-.0290801{col 26}{space 2} .0276397{col 37}{space 1}   -1.05{col 46}{space 3}0.294{col 54}{space 4}-.0836792{col 67}{space 3} .0255189
{txt}c_treatful.. {c |}{col 14}{res}{space 2}-.1594017{col 26}{space 2} .0916722{col 37}{space 1}   -1.74{col 46}{space 3}0.084{col 54}{space 4}-.3404896{col 67}{space 3} .0216863
{txt}c_treatful.. {c |}{col 14}{res}{space 2}-.0016519{col 26}{space 2} .0087314{col 37}{space 1}   -0.19{col 46}{space 3}0.850{col 54}{space 4}-.0188998{col 67}{space 3} .0155961
{txt}c_treatful.. {c |}{col 14}{res}{space 2}-.0174011{col 26}{space 2} .0272006{col 37}{space 1}   -0.64{col 46}{space 3}0.523{col 54}{space 4}-.0711329{col 67}{space 3} .0363306
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} .0623552{col 26}{space 2} .0075724{col 37}{space 1}    8.23{col 46}{space 3}0.000{col 54}{space 4} .0473968{col 67}{space 3} .0773136
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull + treatfull_u5_b58 = 0{p_end}

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}e_mortrat~05{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}(1) {c |}{col 14}{res}{space 2}-.0184504{col 26}{space 2} .0113594{col 37}{space 1}   -1.62{col 46}{space 3}0.106{col 54}{space 4}-.0408896{col 67}{space 3} .0039887
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull + treatfull_u5_b58 = 0{p_end}

{txt}       F(  1,   155) ={res}    2.64
{txt}{col 13}Prob > F ={res}    0.1064
{txt}
{com}.                 
.         * Subgroup Effects: 66th percentile
.         
.         foreach x in `indices_hc' {c -(}
{txt}  2{com}.         
.                 areg e_`x' treatfull treatfull_u5_b66 u5_b66 b_`x' `e_controls_tfull_hc' `treatfull_hc_int_e_controls' if uniquehc == 1, robust a(district)
{txt}  3{com}.                 eststo e_`x'_u5_b66
{txt}  4{com}.                 local n_bu5_b66_`x' = string(e(N),"%9.0fc")
{txt}  5{com}.                 local r2_bu5_b66_`x' = string(e(r2),"%9.3fc")
{txt}  6{com}. 
.                 lincom treatfull + treatfull_u5_b66 
{txt}  7{com}.                 local est_u5_b66_`x' = r(estimate)
{txt}  8{com}.                 local se_u5_b66_`x' = r(se)
{txt}  9{com}.                 test treatfull + treatfull_u5_b66 = 0
{txt} 10{com}.                 local p_u5_b66_`x' = r(p)
{txt} 11{com}.                 
.                 local est_bu5_b66_`x' = string(_b[treatfull],"%9.3fc")
{txt} 12{com}.                 local se_bu5_b66_`x' = string(_se[treatfull],"%9.3fc")
{txt} 13{com}.                 local p_bu5_b66_`x' = (2 * ttail(e(df_r), abs(_b[treatfull]/_se[treatfull])))
{txt} 14{com}.                 
.                 local est_tmxbu5_b66_`x' = string(_b[treatfull_u5_b66],"%9.3fc")
{txt} 15{com}.                 local se_tmxbu5_b66_`x' = string(_se[treatfull_u5_b66],"%9.3fc")
{txt} 16{com}.                 local p_tmxbu5_b66_`x' = (2 * ttail(e(df_r), abs(_b[treatfull_u5_b66]/_se[treatfull_u5_b66])))
{txt} 17{com}.                 
.                 local est_smbu5_b66_`x' = string(_b[u5_b66],"%9.3fc")
{txt} 18{com}.                 local se_smbu5_b66_`x' = string(_se[u5_b66],"%9.3fc")
{txt} 19{com}.                 local p_smbu5_b66_`x' = (2 * ttail(e(df_r), abs(_b[u5_b66]/_se[u5_b66])))
{txt} 20{com}.                 
.                 local est_cbu5_b66_`x' = string(_b[_cons],"%9.3fc")
{txt} 21{com}.                 local se_cbu5_b66_`x' = string(_se[_cons],"%9.3fc")
{txt} 22{com}.                 local p_cbu5_b66_`x' = (2 * ttail(e(df_r), abs(_b[_cons]/_se[_cons])))
{txt} 23{com}.                 
.                 foreach var in bu5_b66 tmxbu5_b66 smbu5_b66 cbu5_b66 {c -(}
{txt} 24{com}.                 
.                         gen sign_`var'_zero_`x' = (`p_`var'_`x''>0.1)
{txt} 25{com}.                         gen sign_`var'_p1s_`x' = (`p_`var'_`x''<=0.1 & `p_`var'_`x''>0.05 & `est_`var'_`x''>0)
{txt} 26{com}.                         gen sign_`var'_p2s_`x' = (`p_`var'_`x''<=0.05 & `p_`var'_`x''>0.01 & `est_`var'_`x''>0)
{txt} 27{com}.                         gen sign_`var'_p3s_`x' = (`p_`var'_`x''<=0.01 & `p_`var'_`x''>=0 & `est_`var'_`x''>0)
{txt} 28{com}.                         gen sign_`var'_m1s_`x' = (`p_`var'_`x''<=0.1 & `p_`var'_`x''>0.05 & `est_`var'_`x''<0)
{txt} 29{com}.                         gen sign_`var'_m2s_`x' = (`p_`var'_`x''<=0.05 & `p_`var'_`x''>0.01 & `est_`var'_`x''<0)
{txt} 30{com}.                         gen sign_`var'_m3s_`x' = (`p_`var'_`x''<=0.01 & `p_`var'_`x''>=0 & `est_`var'_`x''<0)
{txt} 31{com}.                         
. 
.                         if sign_`var'_p1s_`x' == 1 {c -(}
{txt} 32{com}.                                         local sign_`var'_`x' = "\cellcolor[HTML]{c -(}EFEFEF{c )-}+"
{txt} 33{com}.                                         local est_`var'_`x' = "`est_`var'_`x''*"
{txt} 34{com}.                                         {c )-}
{txt} 35{com}.                                         
.                         if sign_`var'_p2s_`x' == 1 {c -(}    
{txt} 36{com}.                                         local sign_`var'_`x' = "\cellcolor[HTML]{c -(}C0C0C0{c )-}+"
{txt} 37{com}.                                         local est_`var'_`x' = "`est_`var'_`x''**"
{txt} 38{com}.                                         {c )-}
{txt} 39{com}.                                         
.                         if sign_`var'_p3s_`x' == 1 {c -(}    
{txt} 40{com}.                                         local sign_`var'_`x' = "\cellcolor[HTML]{c -(}9B9B9B{c )-}+"
{txt} 41{com}.                                         local est_`var'_`x' = "`est_`var'_`x''***"
{txt} 42{com}.                                         {c )-}
{txt} 43{com}.                                 
.                         if sign_`var'_m1s_`x' == 1 {c -(}
{txt} 44{com}.                                         local sign_`var'_`x' = "\cellcolor[HTML]{c -(}EFEFEF{c )-}-"
{txt} 45{com}.                                         local est_`var'_`x' = "`est_`var'_`x''*"
{txt} 46{com}.                                         {c )-}
{txt} 47{com}.                                         
.                         if sign_`var'_m2s_`x' == 1 {c -(}    
{txt} 48{com}.                                         local sign_`var'_`x' = "\cellcolor[HTML]{c -(}C0C0C0{c )-}-"
{txt} 49{com}.                                         local est_`var'_`x' = "`est_`var'_`x''**"
{txt} 50{com}.                                         {c )-}
{txt} 51{com}.                                         
.                         if sign_`var'_m3s_`x' == 1 {c -(}    
{txt} 52{com}.                                         local sign_`var'_`x' = "\cellcolor[HTML]{c -(}9B9B9B{c )-}-"
{txt} 53{com}.                                         local est_`var'_`x' = "`est_`var'_`x''***"
{txt} 54{com}.                                         {c )-}
{txt} 55{com}.                                 
.                         if sign_`var'_zero_`x' == 1 {c -(}
{txt} 56{com}.                                 local sign_`var'_`x' = "0"
{txt} 57{com}.                                 {c )-}
{txt} 58{com}.                                 
.                         {c )-}
{txt} 59{com}.                 
.                 gen sign_u5_b66_zero_`x' = (`p_u5_b66_`x''>0.1)
{txt} 60{com}.                 gen sign_u5_b66_p1s_`x' = (`p_u5_b66_`x''<=0.1 & `p_u5_b66_`x''>0.05 & `est_u5_b66_`x''>0)
{txt} 61{com}.                 gen sign_u5_b66_p2s_`x' = (`p_u5_b66_`x''<=0.05 & `p_u5_b66_`x''>0.01 & `est_u5_b66_`x''>0)
{txt} 62{com}.                 gen sign_u5_b66_p3s_`x' = (`p_u5_b66_`x''<=0.01 & `p_u5_b66_`x''>=0 & `est_u5_b66_`x''>0)
{txt} 63{com}.                 gen sign_u5_b66_m1s_`x' = (`p_u5_b66_`x''<=0.1 & `p_u5_b66_`x''>0.05 & `est_u5_b66_`x''<0)
{txt} 64{com}.                 gen sign_u5_b66_m2s_`x' = (`p_u5_b66_`x''<=0.05 & `p_u5_b66_`x''>0.01 & `est_u5_b66_`x''<0)
{txt} 65{com}.                 gen sign_u5_b66_m3s_`x' = (`p_u5_b66_`x''<=0.01 & `p_u5_b66_`x''>=0 & `est_u5_b66_`x''<0)
{txt} 66{com}.                 
.                 local p_u5_b66_`x' = string(`p_u5_b66_`x'',"%9.3fc")
{txt} 67{com}.                 local est_u5_b66_`x' = string(`est_u5_b66_`x'',"%9.3fc")
{txt} 68{com}.                 local se_u5_b66_`x' = string(`se_u5_b66_`x'',"%9.3fc")
{txt} 69{com}.                 
.                 if sign_u5_b66_p1s_`x' == 1 {c -(}
{txt} 70{com}.                                 local sign_u5_b66_`x' = "\cellcolor[HTML]{c -(}EFEFEF{c )-}+"
{txt} 71{com}.                                 local est_u5_b66_`x' = "`est_u5_b66_`x''*"
{txt} 72{com}.                                 {c )-}
{txt} 73{com}.                                 
.                 if sign_u5_b66_p2s_`x' == 1 {c -(}   
{txt} 74{com}.                                 local sign_u5_b66_`x' = "\cellcolor[HTML]{c -(}C0C0C0{c )-}+"
{txt} 75{com}.                                 local est_u5_b66_`x' = "`est_u5_b66_`x''**"
{txt} 76{com}.                                 {c )-}
{txt} 77{com}.                                 
.                 if sign_u5_b66_p3s_`x' == 1 {c -(}   
{txt} 78{com}.                                 local sign_u5_b66_`x' = "\cellcolor[HTML]{c -(}9B9B9B{c )-}+"
{txt} 79{com}.                                 local est_u5_b66_`x' = "`est_u5_b66_`x''***"
{txt} 80{com}.                                 {c )-}
{txt} 81{com}.                         
.                 if sign_u5_b66_m1s_`x' == 1 {c -(}
{txt} 82{com}.                                 local sign_u5_b66_`x' = "\cellcolor[HTML]{c -(}EFEFEF{c )-}-"
{txt} 83{com}.                                 local est_u5_b66_`x' = "`est_u5_b66_`x''*"
{txt} 84{com}.                                 {c )-}
{txt} 85{com}.                                 
.                 if sign_u5_b66_m2s_`x' == 1 {c -(}   
{txt} 86{com}.                                 local sign_u5_b66_`x' = "\cellcolor[HTML]{c -(}C0C0C0{c )-}-"
{txt} 87{com}.                                 local est_u5_b66_`x' = "`est_u5_b66_`x''**"
{txt} 88{com}.                                 {c )-}
{txt} 89{com}.                                 
.                 if sign_u5_b66_m3s_`x' == 1 {c -(}   
{txt} 90{com}.                                 local sign_u5_b66_`x' = "\cellcolor[HTML]{c -(}9B9B9B{c )-}-"
{txt} 91{com}.                                 local est_u5_b66_`x' = "`est_u5_b66_`x''***"
{txt} 92{com}.                                 {c )-}
{txt} 93{com}.                         
.                 if sign_u5_b66_zero_`x' == 1 {c -(}
{txt} 94{com}.                         local sign_u5_b66_`x' = "0"
{txt} 95{com}.                         {c )-}
{txt} 96{com}.                 
.                 drop sign_*
{txt} 97{com}. 
.                 {c )-}
{res}
{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}       187
{txt}{col 49}F({res}  16{txt},{res}    155{txt}){col 67}= {res}      1.76
{txt}{col 49}Prob > F{col 67}= {res}    0.0416
{txt}{col 49}R-squared{col 67}= {res}    0.2115
{txt}{col 49}Adj R-squared{col 67}= {res}    0.0538
{txt}{col 49}Root MSE{col 67}= {res}    0.0533

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}e_mortrat~05{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2}-.0052973{col 26}{space 2} .0105862{col 37}{space 1}   -0.50{col 46}{space 3}0.618{col 54}{space 4}-.0262091{col 67}{space 3} .0156145
{txt}treatfull~66 {c |}{col 14}{res}{space 2}-.0165173{col 26}{space 2} .0158831{col 37}{space 1}   -1.04{col 46}{space 3}0.300{col 54}{space 4}-.0478926{col 67}{space 3} .0148579
{txt}{space 6}u5_b66 {c |}{col 14}{res}{space 2}-.0167033{col 26}{space 2} .0173677{col 37}{space 1}   -0.96{col 46}{space 3}0.338{col 54}{space 4}-.0510114{col 67}{space 3} .0176047
{txt}b_mortrat~05 {c |}{col 14}{res}{space 2} .2397498{col 26}{space 2} .1154617{col 37}{space 1}    2.08{col 46}{space 3}0.040{col 54}{space 4} .0116682{col 67}{space 3} .4678313
{txt}c_tf~_hc_hc2 {c |}{col 14}{res}{space 2} .0081645{col 26}{space 2} .0168276{col 37}{space 1}    0.49{col 46}{space 3}0.628{col 54}{space 4}-.0250766{col 67}{space 3} .0414055
{txt}c_tfull_hc~l {c |}{col 14}{res}{space 2} .0013261{col 26}{space 2} .0212373{col 37}{space 1}    0.06{col 46}{space 3}0.950{col 54}{space 4}-.0406258{col 67}{space 3}  .043278
{txt}c_tfull_hc~s {c |}{col 14}{res}{space 2} .0124575{col 26}{space 2} .0225784{col 37}{space 1}    0.55{col 46}{space 3}0.582{col 54}{space 4}-.0321436{col 67}{space 3} .0570585
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2} .0265491{col 26}{space 2} .0567134{col 37}{space 1}    0.47{col 46}{space 3}0.640{col 54}{space 4}-.0854818{col 67}{space 3}   .13858
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2}-.0066507{col 26}{space 2} .0070936{col 37}{space 1}   -0.94{col 46}{space 3}0.350{col 54}{space 4}-.0206632{col 67}{space 3} .0073619
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2} .0163045{col 26}{space 2} .0211894{col 37}{space 1}    0.77{col 46}{space 3}0.443{col 54}{space 4}-.0255528{col 67}{space 3} .0581619
{txt}c_treatful.. {c |}{col 14}{res}{space 2} .0004518{col 26}{space 2} .0196635{col 37}{space 1}    0.02{col 46}{space 3}0.982{col 54}{space 4}-.0383912{col 67}{space 3} .0392948
{txt}c_treatful.. {c |}{col 14}{res}{space 2}-.0005414{col 26}{space 2} .0233183{col 37}{space 1}   -0.02{col 46}{space 3}0.982{col 54}{space 4}-.0466041{col 67}{space 3} .0455212
{txt}c_treatful.. {c |}{col 14}{res}{space 2}-.0274308{col 26}{space 2} .0278957{col 37}{space 1}   -0.98{col 46}{space 3}0.327{col 54}{space 4}-.0825355{col 67}{space 3} .0276739
{txt}c_treatful.. {c |}{col 14}{res}{space 2}-.1641118{col 26}{space 2} .0923209{col 37}{space 1}   -1.78{col 46}{space 3}0.077{col 54}{space 4}-.3464814{col 67}{space 3} .0182577
{txt}c_treatful.. {c |}{col 14}{res}{space 2}-.0023873{col 26}{space 2}  .008463{col 37}{space 1}   -0.28{col 46}{space 3}0.778{col 54}{space 4} -.019105{col 67}{space 3} .0143304
{txt}c_treatful.. {c |}{col 14}{res}{space 2} -.013441{col 26}{space 2} .0273169{col 37}{space 1}   -0.49{col 46}{space 3}0.623{col 54}{space 4}-.0674025{col 67}{space 3} .0405206
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} .0599481{col 26}{space 2} .0075124{col 37}{space 1}    7.98{col 46}{space 3}0.000{col 54}{space 4} .0451082{col 67}{space 3} .0747881
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull + treatfull_u5_b66 = 0{p_end}

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}e_mortrat~05{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}(1) {c |}{col 14}{res}{space 2}-.0218147{col 26}{space 2} .0116809{col 37}{space 1}   -1.87{col 46}{space 3}0.064{col 54}{space 4} -.044889{col 67}{space 3} .0012596
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull + treatfull_u5_b66 = 0{p_end}

{txt}       F(  1,   155) ={res}    3.49
{txt}{col 13}Prob > F ={res}    0.0637
{txt}
{com}.                 
.         * Subgroup Effects: 75th percentile
.         
.         foreach x in `indices_hc' {c -(}
{txt}  2{com}.         
.                 areg e_`x' treatfull treatfull_u5_b75 u5_b75 b_`x' `e_controls_tfull_hc' `treatfull_hc_int_e_controls' if uniquehc == 1, robust a(district)
{txt}  3{com}.                 eststo e_`x'_u5_b75
{txt}  4{com}.                 local n_bu5_b75_`x' = string(e(N),"%9.0fc")
{txt}  5{com}.                 local r2_bu5_b75_`x' = string(e(r2),"%9.3fc")
{txt}  6{com}. 
.                 lincom treatfull + treatfull_u5_b75 
{txt}  7{com}.                 local est_u5_b75_`x' = r(estimate)
{txt}  8{com}.                 local se_u5_b75_`x' = r(se)
{txt}  9{com}.                 test treatfull + treatfull_u5_b75 = 0
{txt} 10{com}.                 local p_u5_b75_`x' = r(p)
{txt} 11{com}.                 
.                 local est_bu5_b75_`x' = string(_b[treatfull],"%9.3fc")
{txt} 12{com}.                 local se_bu5_b75_`x' = string(_se[treatfull],"%9.3fc")
{txt} 13{com}.                 local p_bu5_b75_`x' = (2 * ttail(e(df_r), abs(_b[treatfull]/_se[treatfull])))
{txt} 14{com}.                 
.                 local est_tmxbu5_b75_`x' = string(_b[treatfull_u5_b75],"%9.3fc")
{txt} 15{com}.                 local se_tmxbu5_b75_`x' = string(_se[treatfull_u5_b75],"%9.3fc")
{txt} 16{com}.                 local p_tmxbu5_b75_`x' = (2 * ttail(e(df_r), abs(_b[treatfull_u5_b75]/_se[treatfull_u5_b75])))
{txt} 17{com}.                 
.                 local est_smbu5_b75_`x' = string(_b[u5_b75],"%9.3fc")
{txt} 18{com}.                 local se_smbu5_b75_`x' = string(_se[u5_b75],"%9.3fc")
{txt} 19{com}.                 local p_smbu5_b75_`x' = (2 * ttail(e(df_r), abs(_b[u5_b75]/_se[u5_b75])))
{txt} 20{com}.                 
.                 local est_cbu5_b75_`x' = string(_b[_cons],"%9.3fc")
{txt} 21{com}.                 local se_cbu5_b75_`x' = string(_se[_cons],"%9.3fc")
{txt} 22{com}.                 local p_cbu5_b75_`x' = (2 * ttail(e(df_r), abs(_b[_cons]/_se[_cons])))
{txt} 23{com}.                 
.                 foreach var in bu5_b75 tmxbu5_b75 smbu5_b75 cbu5_b75 {c -(}
{txt} 24{com}.                 
.                         gen sign_`var'_zero_`x' = (`p_`var'_`x''>0.1)
{txt} 25{com}.                         gen sign_`var'_p1s_`x' = (`p_`var'_`x''<=0.1 & `p_`var'_`x''>0.05 & `est_`var'_`x''>0)
{txt} 26{com}.                         gen sign_`var'_p2s_`x' = (`p_`var'_`x''<=0.05 & `p_`var'_`x''>0.01 & `est_`var'_`x''>0)
{txt} 27{com}.                         gen sign_`var'_p3s_`x' = (`p_`var'_`x''<=0.01 & `p_`var'_`x''>=0 & `est_`var'_`x''>0)
{txt} 28{com}.                         gen sign_`var'_m1s_`x' = (`p_`var'_`x''<=0.1 & `p_`var'_`x''>0.05 & `est_`var'_`x''<0)
{txt} 29{com}.                         gen sign_`var'_m2s_`x' = (`p_`var'_`x''<=0.05 & `p_`var'_`x''>0.01 & `est_`var'_`x''<0)
{txt} 30{com}.                         gen sign_`var'_m3s_`x' = (`p_`var'_`x''<=0.01 & `p_`var'_`x''>=0 & `est_`var'_`x''<0)
{txt} 31{com}.                         
. 
.                         if sign_`var'_p1s_`x' == 1 {c -(}
{txt} 32{com}.                                         local sign_`var'_`x' = "\cellcolor[HTML]{c -(}EFEFEF{c )-}+"
{txt} 33{com}.                                         local est_`var'_`x' = "`est_`var'_`x''*"
{txt} 34{com}.                                         {c )-}
{txt} 35{com}.                                         
.                         if sign_`var'_p2s_`x' == 1 {c -(}    
{txt} 36{com}.                                         local sign_`var'_`x' = "\cellcolor[HTML]{c -(}C0C0C0{c )-}+"
{txt} 37{com}.                                         local est_`var'_`x' = "`est_`var'_`x''**"
{txt} 38{com}.                                         {c )-}
{txt} 39{com}.                                         
.                         if sign_`var'_p3s_`x' == 1 {c -(}    
{txt} 40{com}.                                         local sign_`var'_`x' = "\cellcolor[HTML]{c -(}9B9B9B{c )-}+"
{txt} 41{com}.                                         local est_`var'_`x' = "`est_`var'_`x''***"
{txt} 42{com}.                                         {c )-}
{txt} 43{com}.                                 
.                         if sign_`var'_m1s_`x' == 1 {c -(}
{txt} 44{com}.                                         local sign_`var'_`x' = "\cellcolor[HTML]{c -(}EFEFEF{c )-}-"
{txt} 45{com}.                                         local est_`var'_`x' = "`est_`var'_`x''*"
{txt} 46{com}.                                         {c )-}
{txt} 47{com}.                                         
.                         if sign_`var'_m2s_`x' == 1 {c -(}    
{txt} 48{com}.                                         local sign_`var'_`x' = "\cellcolor[HTML]{c -(}C0C0C0{c )-}-"
{txt} 49{com}.                                         local est_`var'_`x' = "`est_`var'_`x''**"
{txt} 50{com}.                                         {c )-}
{txt} 51{com}.                                         
.                         if sign_`var'_m3s_`x' == 1 {c -(}    
{txt} 52{com}.                                         local sign_`var'_`x' = "\cellcolor[HTML]{c -(}9B9B9B{c )-}-"
{txt} 53{com}.                                         local est_`var'_`x' = "`est_`var'_`x''***"
{txt} 54{com}.                                         {c )-}
{txt} 55{com}.                                 
.                         if sign_`var'_zero_`x' == 1 {c -(}
{txt} 56{com}.                                 local sign_`var'_`x' = "0"
{txt} 57{com}.                                 {c )-}
{txt} 58{com}.                                 
.                         {c )-}
{txt} 59{com}.                 
.                 gen sign_u5_b75_zero_`x' = (`p_u5_b75_`x''>0.1)
{txt} 60{com}.                 gen sign_u5_b75_p1s_`x' = (`p_u5_b75_`x''<=0.1 & `p_u5_b75_`x''>0.05 & `est_u5_b75_`x''>0)
{txt} 61{com}.                 gen sign_u5_b75_p2s_`x' = (`p_u5_b75_`x''<=0.05 & `p_u5_b75_`x''>0.01 & `est_u5_b75_`x''>0)
{txt} 62{com}.                 gen sign_u5_b75_p3s_`x' = (`p_u5_b75_`x''<=0.01 & `p_u5_b75_`x''>=0 & `est_u5_b75_`x''>0)
{txt} 63{com}.                 gen sign_u5_b75_m1s_`x' = (`p_u5_b75_`x''<=0.1 & `p_u5_b75_`x''>0.05 & `est_u5_b75_`x''<0)
{txt} 64{com}.                 gen sign_u5_b75_m2s_`x' = (`p_u5_b75_`x''<=0.05 & `p_u5_b75_`x''>0.01 & `est_u5_b75_`x''<0)
{txt} 65{com}.                 gen sign_u5_b75_m3s_`x' = (`p_u5_b75_`x''<=0.01 & `p_u5_b75_`x''>=0 & `est_u5_b75_`x''<0)
{txt} 66{com}.                 
.                 local p_u5_b75_`x' = string(`p_u5_b75_`x'',"%9.3fc")
{txt} 67{com}.                 local est_u5_b75_`x' = string(`est_u5_b75_`x'',"%9.3fc")
{txt} 68{com}.                 local se_u5_b75_`x' = string(`se_u5_b75_`x'',"%9.3fc")
{txt} 69{com}.                 
.                 if sign_u5_b75_p1s_`x' == 1 {c -(}
{txt} 70{com}.                                 local sign_u5_b75_`x' = "\cellcolor[HTML]{c -(}EFEFEF{c )-}+"
{txt} 71{com}.                                 local est_u5_b75_`x' = "`est_u5_b75_`x''*"
{txt} 72{com}.                                 {c )-}
{txt} 73{com}.                                 
.                 if sign_u5_b75_p2s_`x' == 1 {c -(}   
{txt} 74{com}.                                 local sign_u5_b75_`x' = "\cellcolor[HTML]{c -(}C0C0C0{c )-}+"
{txt} 75{com}.                                 local est_u5_b75_`x' = "`est_u5_b75_`x''**"
{txt} 76{com}.                                 {c )-}
{txt} 77{com}.                                 
.                 if sign_u5_b75_p3s_`x' == 1 {c -(}   
{txt} 78{com}.                                 local sign_u5_b75_`x' = "\cellcolor[HTML]{c -(}9B9B9B{c )-}+"
{txt} 79{com}.                                 local est_u5_b75_`x' = "`est_u5_b75_`x''***"
{txt} 80{com}.                                 {c )-}
{txt} 81{com}.                         
.                 if sign_u5_b75_m1s_`x' == 1 {c -(}
{txt} 82{com}.                                 local sign_u5_b75_`x' = "\cellcolor[HTML]{c -(}EFEFEF{c )-}-"
{txt} 83{com}.                                 local est_u5_b75_`x' = "`est_u5_b75_`x''*"
{txt} 84{com}.                                 {c )-}
{txt} 85{com}.                                 
.                 if sign_u5_b75_m2s_`x' == 1 {c -(}   
{txt} 86{com}.                                 local sign_u5_b75_`x' = "\cellcolor[HTML]{c -(}C0C0C0{c )-}-"
{txt} 87{com}.                                 local est_u5_b75_`x' = "`est_u5_b75_`x''**"
{txt} 88{com}.                                 {c )-}
{txt} 89{com}.                                 
.                 if sign_u5_b75_m3s_`x' == 1 {c -(}   
{txt} 90{com}.                                 local sign_u5_b75_`x' = "\cellcolor[HTML]{c -(}9B9B9B{c )-}-"
{txt} 91{com}.                                 local est_u5_b75_`x' = "`est_u5_b75_`x''***"
{txt} 92{com}.                                 {c )-}
{txt} 93{com}.                         
.                 if sign_u5_b75_zero_`x' == 1 {c -(}
{txt} 94{com}.                         local sign_u5_b75_`x' = "0"
{txt} 95{com}.                         {c )-}
{txt} 96{com}.                 
.                 drop sign_*
{txt} 97{com}. 
.                 {c )-}
{res}
{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}       187
{txt}{col 49}F({res}  16{txt},{res}    155{txt}){col 67}= {res}      1.30
{txt}{col 49}Prob > F{col 67}= {res}    0.2004
{txt}{col 49}R-squared{col 67}= {res}    0.2001
{txt}{col 49}Adj R-squared{col 67}= {res}    0.0402
{txt}{col 49}Root MSE{col 67}= {res}    0.0537

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}e_mortrat~05{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2}-.0085312{col 26}{space 2} .0103315{col 37}{space 1}   -0.83{col 46}{space 3}0.410{col 54}{space 4}-.0289398{col 67}{space 3} .0118775
{txt}treatfull~75 {c |}{col 14}{res}{space 2}-.0088884{col 26}{space 2}  .017239{col 37}{space 1}   -0.52{col 46}{space 3}0.607{col 54}{space 4}-.0429421{col 67}{space 3} .0251652
{txt}{space 6}u5_b75 {c |}{col 14}{res}{space 2}-.0064025{col 26}{space 2} .0178566{col 37}{space 1}   -0.36{col 46}{space 3}0.720{col 54}{space 4}-.0416762{col 67}{space 3} .0288712
{txt}b_mortrat~05 {c |}{col 14}{res}{space 2}  .141751{col 26}{space 2} .1128494{col 37}{space 1}    1.26{col 46}{space 3}0.211{col 54}{space 4}-.0811703{col 67}{space 3} .3646722
{txt}c_tf~_hc_hc2 {c |}{col 14}{res}{space 2} .0082872{col 26}{space 2} .0167412{col 37}{space 1}    0.50{col 46}{space 3}0.621{col 54}{space 4}-.0247832{col 67}{space 3} .0413575
{txt}c_tfull_hc~l {c |}{col 14}{res}{space 2} .0025707{col 26}{space 2} .0212446{col 37}{space 1}    0.12{col 46}{space 3}0.904{col 54}{space 4}-.0393957{col 67}{space 3}  .044537
{txt}c_tfull_hc~s {c |}{col 14}{res}{space 2} .0114454{col 26}{space 2} .0223973{col 37}{space 1}    0.51{col 46}{space 3}0.610{col 54}{space 4}-.0327979{col 67}{space 3} .0556887
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2} .0298807{col 26}{space 2}  .056878{col 37}{space 1}    0.53{col 46}{space 3}0.600{col 54}{space 4}-.0824753{col 67}{space 3} .1422367
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2}-.0063447{col 26}{space 2} .0071696{col 37}{space 1}   -0.88{col 46}{space 3}0.378{col 54}{space 4}-.0205074{col 67}{space 3}  .007818
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2} .0161331{col 26}{space 2} .0213034{col 37}{space 1}    0.76{col 46}{space 3}0.450{col 54}{space 4}-.0259495{col 67}{space 3} .0582156
{txt}c_treatful.. {c |}{col 14}{res}{space 2}-.0036225{col 26}{space 2}  .019611{col 37}{space 1}   -0.18{col 46}{space 3}0.854{col 54}{space 4}-.0423618{col 67}{space 3} .0351168
{txt}c_treatful.. {c |}{col 14}{res}{space 2}-.0053363{col 26}{space 2} .0239518{col 37}{space 1}   -0.22{col 46}{space 3}0.824{col 54}{space 4}-.0526504{col 67}{space 3} .0419777
{txt}c_treatful.. {c |}{col 14}{res}{space 2}-.0318095{col 26}{space 2}  .027391{col 37}{space 1}   -1.16{col 46}{space 3}0.247{col 54}{space 4}-.0859173{col 67}{space 3} .0222984
{txt}c_treatful.. {c |}{col 14}{res}{space 2}-.1666832{col 26}{space 2} .0925618{col 37}{space 1}   -1.80{col 46}{space 3}0.074{col 54}{space 4}-.3495287{col 67}{space 3} .0161623
{txt}c_treatful.. {c |}{col 14}{res}{space 2}-.0018153{col 26}{space 2} .0086589{col 37}{space 1}   -0.21{col 46}{space 3}0.834{col 54}{space 4}  -.01892{col 67}{space 3} .0152894
{txt}c_treatful.. {c |}{col 14}{res}{space 2}-.0172739{col 26}{space 2} .0275769{col 37}{space 1}   -0.63{col 46}{space 3}0.532{col 54}{space 4} -.071749{col 67}{space 3} .0372012
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} .0600009{col 26}{space 2} .0072832{col 37}{space 1}    8.24{col 46}{space 3}0.000{col 54}{space 4} .0456136{col 67}{space 3} .0743881
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull + treatfull_u5_b75 = 0{p_end}

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}e_mortrat~05{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}(1) {c |}{col 14}{res}{space 2}-.0174196{col 26}{space 2} .0128308{col 37}{space 1}   -1.36{col 46}{space 3}0.177{col 54}{space 4}-.0427653{col 67}{space 3} .0079261
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull + treatfull_u5_b75 = 0{p_end}

{txt}       F(  1,   155) ={res}    1.84
{txt}{col 13}Prob > F ={res}    0.1765
{txt}
{com}.                 
.         * Subgroup Effects: 90th percentile
.         
.         foreach x in `indices_hc' {c -(}
{txt}  2{com}.         
.                 areg e_`x' treatfull treatfull_u5_b90 u5_b90 b_`x' `e_controls_tfull_hc' `treatfull_hc_int_e_controls' if uniquehc == 1, robust a(district)
{txt}  3{com}.                 eststo e_`x'_u5_b90
{txt}  4{com}.                 local n_bu5_b90_`x' = string(e(N),"%9.0fc")
{txt}  5{com}.                 local r2_bu5_b90_`x' = string(e(r2),"%9.3fc")
{txt}  6{com}. 
.                 lincom treatfull + treatfull_u5_b90 
{txt}  7{com}.                 local est_u5_b90_`x' = r(estimate)
{txt}  8{com}.                 local se_u5_b90_`x' = r(se)
{txt}  9{com}.                 test treatfull + treatfull_u5_b90 = 0
{txt} 10{com}.                 local p_u5_b90_`x' = r(p)
{txt} 11{com}.                 
.                 local est_bu5_b90_`x' = string(_b[treatfull],"%9.3fc")
{txt} 12{com}.                 local se_bu5_b90_`x' = string(_se[treatfull],"%9.3fc")
{txt} 13{com}.                 local p_bu5_b90_`x' = (2 * ttail(e(df_r), abs(_b[treatfull]/_se[treatfull])))
{txt} 14{com}.                 
.                 local est_tmxbu5_b90_`x' = string(_b[treatfull_u5_b90],"%9.3fc")
{txt} 15{com}.                 local se_tmxbu5_b90_`x' = string(_se[treatfull_u5_b90],"%9.3fc")
{txt} 16{com}.                 local p_tmxbu5_b90_`x' = (2 * ttail(e(df_r), abs(_b[treatfull_u5_b90]/_se[treatfull_u5_b90])))
{txt} 17{com}.                 
.                 local est_smbu5_b90_`x' = string(_b[u5_b90],"%9.3fc")
{txt} 18{com}.                 local se_smbu5_b90_`x' = string(_se[u5_b90],"%9.3fc")
{txt} 19{com}.                 local p_smbu5_b90_`x' = (2 * ttail(e(df_r), abs(_b[u5_b90]/_se[u5_b90])))
{txt} 20{com}.                 
.                 local est_cbu5_b90_`x' = string(_b[_cons],"%9.3fc")
{txt} 21{com}.                 local se_cbu5_b90_`x' = string(_se[_cons],"%9.3fc")
{txt} 22{com}.                 local p_cbu5_b90_`x' = (2 * ttail(e(df_r), abs(_b[_cons]/_se[_cons])))
{txt} 23{com}.                 
.                 foreach var in bu5_b90 tmxbu5_b90 smbu5_b90 cbu5_b90 {c -(}
{txt} 24{com}.                 
.                         gen sign_`var'_zero_`x' = (`p_`var'_`x''>0.1)
{txt} 25{com}.                         gen sign_`var'_p1s_`x' = (`p_`var'_`x''<=0.1 & `p_`var'_`x''>0.05 & `est_`var'_`x''>0)
{txt} 26{com}.                         gen sign_`var'_p2s_`x' = (`p_`var'_`x''<=0.05 & `p_`var'_`x''>0.01 & `est_`var'_`x''>0)
{txt} 27{com}.                         gen sign_`var'_p3s_`x' = (`p_`var'_`x''<=0.01 & `p_`var'_`x''>=0 & `est_`var'_`x''>0)
{txt} 28{com}.                         gen sign_`var'_m1s_`x' = (`p_`var'_`x''<=0.1 & `p_`var'_`x''>0.05 & `est_`var'_`x''<0)
{txt} 29{com}.                         gen sign_`var'_m2s_`x' = (`p_`var'_`x''<=0.05 & `p_`var'_`x''>0.01 & `est_`var'_`x''<0)
{txt} 30{com}.                         gen sign_`var'_m3s_`x' = (`p_`var'_`x''<=0.01 & `p_`var'_`x''>=0 & `est_`var'_`x''<0)
{txt} 31{com}.                         
. 
.                         if sign_`var'_p1s_`x' == 1 {c -(}
{txt} 32{com}.                                         local sign_`var'_`x' = "\cellcolor[HTML]{c -(}EFEFEF{c )-}+"
{txt} 33{com}.                                         local est_`var'_`x' = "`est_`var'_`x''*"
{txt} 34{com}.                                         {c )-}
{txt} 35{com}.                                         
.                         if sign_`var'_p2s_`x' == 1 {c -(}    
{txt} 36{com}.                                         local sign_`var'_`x' = "\cellcolor[HTML]{c -(}C0C0C0{c )-}+"
{txt} 37{com}.                                         local est_`var'_`x' = "`est_`var'_`x''**"
{txt} 38{com}.                                         {c )-}
{txt} 39{com}.                                         
.                         if sign_`var'_p3s_`x' == 1 {c -(}    
{txt} 40{com}.                                         local sign_`var'_`x' = "\cellcolor[HTML]{c -(}9B9B9B{c )-}+"
{txt} 41{com}.                                         local est_`var'_`x' = "`est_`var'_`x''***"
{txt} 42{com}.                                         {c )-}
{txt} 43{com}.                                 
.                         if sign_`var'_m1s_`x' == 1 {c -(}
{txt} 44{com}.                                         local sign_`var'_`x' = "\cellcolor[HTML]{c -(}EFEFEF{c )-}-"
{txt} 45{com}.                                         local est_`var'_`x' = "`est_`var'_`x''*"
{txt} 46{com}.                                         {c )-}
{txt} 47{com}.                                         
.                         if sign_`var'_m2s_`x' == 1 {c -(}    
{txt} 48{com}.                                         local sign_`var'_`x' = "\cellcolor[HTML]{c -(}C0C0C0{c )-}-"
{txt} 49{com}.                                         local est_`var'_`x' = "`est_`var'_`x''**"
{txt} 50{com}.                                         {c )-}
{txt} 51{com}.                                         
.                         if sign_`var'_m3s_`x' == 1 {c -(}    
{txt} 52{com}.                                         local sign_`var'_`x' = "\cellcolor[HTML]{c -(}9B9B9B{c )-}-"
{txt} 53{com}.                                         local est_`var'_`x' = "`est_`var'_`x''***"
{txt} 54{com}.                                         {c )-}
{txt} 55{com}.                                 
.                         if sign_`var'_zero_`x' == 1 {c -(}
{txt} 56{com}.                                 local sign_`var'_`x' = "0"
{txt} 57{com}.                                 {c )-}
{txt} 58{com}.                                 
.                         {c )-}
{txt} 59{com}.                 
.                 gen sign_u5_b90_zero_`x' = (`p_u5_b90_`x''>0.1)
{txt} 60{com}.                 gen sign_u5_b90_p1s_`x' = (`p_u5_b90_`x''<=0.1 & `p_u5_b90_`x''>0.05 & `est_u5_b90_`x''>0)
{txt} 61{com}.                 gen sign_u5_b90_p2s_`x' = (`p_u5_b90_`x''<=0.05 & `p_u5_b90_`x''>0.01 & `est_u5_b90_`x''>0)
{txt} 62{com}.                 gen sign_u5_b90_p3s_`x' = (`p_u5_b90_`x''<=0.01 & `p_u5_b90_`x''>=0 & `est_u5_b90_`x''>0)
{txt} 63{com}.                 gen sign_u5_b90_m1s_`x' = (`p_u5_b90_`x''<=0.1 & `p_u5_b90_`x''>0.05 & `est_u5_b90_`x''<0)
{txt} 64{com}.                 gen sign_u5_b90_m2s_`x' = (`p_u5_b90_`x''<=0.05 & `p_u5_b90_`x''>0.01 & `est_u5_b90_`x''<0)
{txt} 65{com}.                 gen sign_u5_b90_m3s_`x' = (`p_u5_b90_`x''<=0.01 & `p_u5_b90_`x''>=0 & `est_u5_b90_`x''<0)
{txt} 66{com}.                 
.                 local p_u5_b90_`x' = string(`p_u5_b90_`x'',"%9.3fc")
{txt} 67{com}.                 local est_u5_b90_`x' = string(`est_u5_b90_`x'',"%9.3fc")
{txt} 68{com}.                 local se_u5_b90_`x' = string(`se_u5_b90_`x'',"%9.3fc")
{txt} 69{com}.                 
.                 if sign_u5_b90_p1s_`x' == 1 {c -(}
{txt} 70{com}.                                 local sign_u5_b90_`x' = "\cellcolor[HTML]{c -(}EFEFEF{c )-}+"
{txt} 71{com}.                                 local est_u5_b90_`x' = "`est_u5_b90_`x''*"
{txt} 72{com}.                                 {c )-}
{txt} 73{com}.                                 
.                 if sign_u5_b90_p2s_`x' == 1 {c -(}   
{txt} 74{com}.                                 local sign_u5_b90_`x' = "\cellcolor[HTML]{c -(}C0C0C0{c )-}+"
{txt} 75{com}.                                 local est_u5_b90_`x' = "`est_u5_b90_`x''**"
{txt} 76{com}.                                 {c )-}
{txt} 77{com}.                                 
.                 if sign_u5_b90_p3s_`x' == 1 {c -(}   
{txt} 78{com}.                                 local sign_u5_b90_`x' = "\cellcolor[HTML]{c -(}9B9B9B{c )-}+"
{txt} 79{com}.                                 local est_u5_b90_`x' = "`est_u5_b90_`x''***"
{txt} 80{com}.                                 {c )-}
{txt} 81{com}.                         
.                 if sign_u5_b90_m1s_`x' == 1 {c -(}
{txt} 82{com}.                                 local sign_u5_b90_`x' = "\cellcolor[HTML]{c -(}EFEFEF{c )-}-"
{txt} 83{com}.                                 local est_u5_b90_`x' = "`est_u5_b90_`x''*"
{txt} 84{com}.                                 {c )-}
{txt} 85{com}.                                 
.                 if sign_u5_b90_m2s_`x' == 1 {c -(}   
{txt} 86{com}.                                 local sign_u5_b90_`x' = "\cellcolor[HTML]{c -(}C0C0C0{c )-}-"
{txt} 87{com}.                                 local est_u5_b90_`x' = "`est_u5_b90_`x''**"
{txt} 88{com}.                                 {c )-}
{txt} 89{com}.                                 
.                 if sign_u5_b90_m3s_`x' == 1 {c -(}   
{txt} 90{com}.                                 local sign_u5_b90_`x' = "\cellcolor[HTML]{c -(}9B9B9B{c )-}-"
{txt} 91{com}.                                 local est_u5_b90_`x' = "`est_u5_b90_`x''***"
{txt} 92{com}.                                 {c )-}
{txt} 93{com}.                         
.                 if sign_u5_b90_zero_`x' == 1 {c -(}
{txt} 94{com}.                         local sign_u5_b90_`x' = "0"
{txt} 95{com}.                         {c )-}
{txt} 96{com}.                 
.                 drop sign_*
{txt} 97{com}. 
.                 {c )-}
{res}
{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}       187
{txt}{col 49}F({res}  16{txt},{res}    155{txt}){col 67}= {res}      1.30
{txt}{col 49}Prob > F{col 67}= {res}    0.2066
{txt}{col 49}R-squared{col 67}= {res}    0.1993
{txt}{col 49}Adj R-squared{col 67}= {res}    0.0392
{txt}{col 49}Root MSE{col 67}= {res}    0.0537

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}e_mortrat~05{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2}-.0123565{col 26}{space 2} .0086671{col 37}{space 1}   -1.43{col 46}{space 3}0.156{col 54}{space 4}-.0294774{col 67}{space 3} .0047644
{txt}treatfull~90 {c |}{col 14}{res}{space 2} .0155292{col 26}{space 2} .0229022{col 37}{space 1}    0.68{col 46}{space 3}0.499{col 54}{space 4}-.0297115{col 67}{space 3} .0607699
{txt}{space 6}u5_b90 {c |}{col 14}{res}{space 2}-.0061051{col 26}{space 2} .0181732{col 37}{space 1}   -0.34{col 46}{space 3}0.737{col 54}{space 4}-.0420043{col 67}{space 3}  .029794
{txt}b_mortrat~05 {c |}{col 14}{res}{space 2}  .072643{col 26}{space 2} .0852844{col 37}{space 1}    0.85{col 46}{space 3}0.396{col 54}{space 4}-.0958267{col 67}{space 3} .2411127
{txt}c_tf~_hc_hc2 {c |}{col 14}{res}{space 2} .0081168{col 26}{space 2} .0168696{col 37}{space 1}    0.48{col 46}{space 3}0.631{col 54}{space 4}-.0252073{col 67}{space 3} .0414409
{txt}c_tfull_hc~l {c |}{col 14}{res}{space 2} .0015533{col 26}{space 2} .0215015{col 37}{space 1}    0.07{col 46}{space 3}0.943{col 54}{space 4}-.0409205{col 67}{space 3} .0440272
{txt}c_tfull_hc~s {c |}{col 14}{res}{space 2} .0113502{col 26}{space 2} .0229177{col 37}{space 1}    0.50{col 46}{space 3}0.621{col 54}{space 4}-.0339212{col 67}{space 3} .0566216
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2} .0303737{col 26}{space 2} .0572154{col 37}{space 1}    0.53{col 46}{space 3}0.596{col 54}{space 4}-.0826488{col 67}{space 3} .1433963
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2}-.0061094{col 26}{space 2} .0072389{col 37}{space 1}   -0.84{col 46}{space 3}0.400{col 54}{space 4}-.0204091{col 67}{space 3} .0081903
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2} .0145589{col 26}{space 2} .0215246{col 37}{space 1}    0.68{col 46}{space 3}0.500{col 54}{space 4}-.0279604{col 67}{space 3} .0570783
{txt}c_treatful.. {c |}{col 14}{res}{space 2}-.0048761{col 26}{space 2} .0195281{col 37}{space 1}   -0.25{col 46}{space 3}0.803{col 54}{space 4}-.0434516{col 67}{space 3} .0336994
{txt}c_treatful.. {c |}{col 14}{res}{space 2}-.0006906{col 26}{space 2} .0236167{col 37}{space 1}   -0.03{col 46}{space 3}0.977{col 54}{space 4}-.0473428{col 67}{space 3} .0459616
{txt}c_treatful.. {c |}{col 14}{res}{space 2} -.035559{col 26}{space 2} .0279783{col 37}{space 1}   -1.27{col 46}{space 3}0.206{col 54}{space 4}-.0908269{col 67}{space 3}  .019709
{txt}c_treatful.. {c |}{col 14}{res}{space 2}-.1749483{col 26}{space 2} .0920313{col 37}{space 1}   -1.90{col 46}{space 3}0.059{col 54}{space 4}-.3567457{col 67}{space 3} .0068491
{txt}c_treatful.. {c |}{col 14}{res}{space 2} -.002628{col 26}{space 2} .0086375{col 37}{space 1}   -0.30{col 46}{space 3}0.761{col 54}{space 4}-.0196903{col 67}{space 3} .0144344
{txt}c_treatful.. {c |}{col 14}{res}{space 2}-.0165291{col 26}{space 2} .0276084{col 37}{space 1}   -0.60{col 46}{space 3}0.550{col 54}{space 4}-.0710663{col 67}{space 3} .0380082
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} .0617182{col 26}{space 2} .0067115{col 37}{space 1}    9.20{col 46}{space 3}0.000{col 54}{space 4} .0484605{col 67}{space 3}  .074976
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull + treatfull_u5_b90 = 0{p_end}

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}e_mortrat~05{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}(1) {c |}{col 14}{res}{space 2} .0031727{col 26}{space 2} .0213773{col 37}{space 1}    0.15{col 46}{space 3}0.882{col 54}{space 4}-.0390557{col 67}{space 3} .0454011
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull + treatfull_u5_b90 = 0{p_end}

{txt}       F(  1,   155) ={res}    0.02
{txt}{col 13}Prob > F ={res}    0.8822
{txt}
{com}.         
.         * We outsheet the results
.         
.         texdoc init "${c -(}tables{c )-}/TableI25.tex", replace force
{res}{txt}(texdoc output file is /Users/fredericcochinard/Dropbox/ACT_Health_JOP_replication_file/3.Tables and Figures/Tables/TableI25.tex)
{res}{txt}
{com}.         tex \begin{c -(}table{c )-}[htbp]\centering
{res}{txt}
{com}.         tex \def\sym#1{c -(}\ifmmode^{c -(}#1{c )-}\else\(^{c -(}#1{c )-}\)\fi{c )-}
{res}{txt}
{com}.         tex \caption{c -(}Subgroup effects on child mortality by baseline mortality rate {c )-}
{res}{txt}
{com}.         tex \begin{c -(}tabular{c )-}{c -(}lgggg{c )-}
{res}{txt}
{com}.         tex \toprule
{res}{txt}
{com}.         tex                                                                               & (1)                       & (2)                                                          & (3)                                                             & (4)                                                                              \\
{res}{txt}
{com}.         tex \multirow{c -(}-2{c )-}{c -(}*{c )-}{c -(}{c )-}                             & \textbf{c -(}58th{c )-}      & \textbf{c -(}\begin{c -(}tabular{c )-}[c]{c -(}@{c -(}{c )-}c@{c -(}{c )-}{c )-}66th\end{c -(}tabular{c )-}{c )-} & \textbf{c -(}\begin{c -(}tabular{c )-}[c]{c -(}@{c -(}{c )-}c@{c -(}{c )-}{c )-}75th\end{c -(}tabular{c )-}{c )-} & \textbf{c -(}\begin{c -(}tabular{c )-}[c]{c -(}@{c -(}{c )-}c@{c -(}{c )-}{c )-}90th\end{c -(}tabular{c )-}{c )-}        \\
{res}{txt}
{com}.         tex \midrule
{res}{txt}
{com}.         tex \multirow{c -(}2{c )-}{c -(}*{c )-}{c -(}Treat{c )-}  & `est_bu5_b58_mortrate_05'           & `est_bu5_b66_mortrate_05'                                                            & `est_bu5_b75_mortrate_05'                                                                &    `est_bu5_b90_mortrate_05'                                                                \\
{res}{txt}
{com}.         tex  & (`se_bu5_b58_mortrate_05' )           & (`se_bu5_b66_mortrate_05')                                                            & (`se_bu5_b75_mortrate_05')                                                               &     (`se_bu5_b90_mortrate_05')                                                            \\
{res}{txt}
{com}.         tex \multirow{c -(}2{c )-}{c -(}*{c )-}{c -(}Treat * U5MR above xxth percentile{c )-}  & `est_tmxbu5_b58_mortrate_05'           & `est_tmxbu5_b66_mortrate_05'                                                            & `est_tmxbu5_b75_mortrate_05'                                                                &    `est_tmxbu5_b90_mortrate_05'                                                                \\
{res}{txt}
{com}.         tex  & (`se_tmxbu5_b58_mortrate_05' )           & (`se_tmxbu5_b66_mortrate_05')                                                            & (`se_tmxbu5_b75_mortrate_05')                                                               &     (`se_tmxbu5_b90_mortrate_05')                                                            \\
{res}{txt}
{com}.         tex \multirow{c -(}2{c )-}{c -(}*{c )-}{c -(}U5MR above xxth percentile{c )-}  & `est_smbu5_b58_mortrate_05'           & `est_smbu5_b66_mortrate_05'                                                            & `est_smbu5_b75_mortrate_05'                                                                &    `est_smbu5_b90_mortrate_05'                                                                \\
{res}{txt}
{com}.         tex  & (`se_smbu5_b58_mortrate_05' )           & (`se_smbu5_b66_mortrate_05')                                                            & (`se_smbu5_b75_mortrate_05')                                                               &     (`se_smbu5_b90_mortrate_05')                                                            \\
{res}{txt}
{com}.         tex \multirow{c -(}2{c )-}{c -(}*{c )-}{c -(}Treat + Treat * U5MR above xxth percentile{c )-}  & `est_u5_b58_mortrate_05'           & `est_u5_b66_mortrate_05'                                                            & `est_u5_b75_mortrate_05'                                                                &    `est_u5_b90_mortrate_05'                                                                \\
{res}{txt}
{com}.         tex  & (`se_u5_b58_mortrate_05' )           & (`se_u5_b66_mortrate_05')                                                            & (`se_u5_b75_mortrate_05')                                                               &     (`se_u5_b90_mortrate_05')                                                            \\
{res}{txt}
{com}.         tex \bottomrule
{res}{txt}
{com}.         tex \end{c -(}tabular{c )-}
{res}{txt}
{com}.         tex \end{c -(}table{c )-}
{res}{txt}
{com}.         texdoc close
{txt}(texdoc output written to {browse `"/Users/fredericcochinard/Dropbox/ACT_Health_JOP_replication_file/3.Tables and Figures/Tables/TableI25.tex"':/Users/fredericcochinard/Dropbox/ACT_Health_JOP_replication_file/3.Tables and Figures/Tables/TableI25.tex})
{res}{txt}
{com}.         
. 
.         ****************************************************************************
.         * Table I26: By Presidential vote share above or below the national median *
.         ****************************************************************************
.         
.         local var treatfull
{txt}
{com}.         
.         * We load the dataset. This is the light version
.         
.         use "${c -(}usedata{c )-}/chp_el_light_dataset.dta", clear
{txt}
{com}.         
.         local indices urate_z treatqual_z patsat_z commtg_z
{txt}
{com}.         local indices_ho healthout_z
{txt}
{com}.         local indices_hc mortrate_05 h_ctzpressure_z
{txt}
{com}. 
.         * At endline:
.         
.         local y = 1
{txt}
{com}.         foreach x in `indices' {c -(}
{txt}  2{com}.                 areg  e_`x' `var' treatfull_votshare_nat b_above_natmed_nrmpres b_`x' b_`x'_d `e_controls_tfull' ``var'_int_e_controls', robust cl(hc_id) a(district)
{txt}  3{com}.                 
.                 estimates store me`y'
{txt}  4{com}.                 
.                 local n_1e_`x' = string(`e(N)',"%9.0fc")
{txt}  5{com}.                 local r2_1e_`x' = string(`e(r2)',"%9.3fc")
{txt}  6{com}.                 local est_1e_`x' = string(_b[`var'],"%9.3fc")
{txt}  7{com}.                 local se_1e_`x' = string(_se[`var'],"%9.3fc")
{txt}  8{com}.                 local p_1e_`x' = (2 * ttail(e(df_r), abs(_b[`var']/_se[`var'])))
{txt}  9{com}.                 local p_`y'e = (2 * ttail(e(df_r), abs(_b[`var']/_se[`var'])))
{txt} 10{com}.                 
.                 gen s_1e_1s_`x' = (`p_1e_`x''<=0.1 & `p_1e_`x''>0.05)
{txt} 11{com}.                 gen s_1e_2s_`x' = (`p_1e_`x''<=0.05 & `p_1e_`x''>0.01)
{txt} 12{com}.                 gen s_1e_3s_`x' = (`p_1e_`x''<=0.01 & `p_1e_`x''>=0)
{txt} 13{com}.         
.                 if s_1e_1s_`x' == 1 {c -(}
{txt} 14{com}.                                 local est_1e_`x' = "`est_1e_`x''*"
{txt} 15{com}.                                 {c )-}
{txt} 16{com}.                                 
.                 if s_1e_2s_`x' == 1 {c -(}
{txt} 17{com}.                                 local est_1e_`x' = "`est_1e_`x''**"
{txt} 18{com}.                                 {c )-}
{txt} 19{com}.                                 
.                 if s_1e_3s_`x' == 1 {c -(}
{txt} 20{com}.                                 local est_1e_`x' = "`est_1e_`x''***"
{txt} 21{com}.                                 {c )-}
{txt} 22{com}.                 
.                 local est_2e_`x' = string(_b[_cons],"%9.3fc")
{txt} 23{com}.                 local se_2e_`x' = string(_se[_cons],"%9.3fc")
{txt} 24{com}.                 local p_2e_`x' = (2 * ttail(e(df_r), abs(_b[_cons]/_se[_cons])))
{txt} 25{com}.                 
.                 gen s_2e_1s_`x' = (`p_2e_`x''<=0.1 & `p_2e_`x''>0.05)
{txt} 26{com}.                 gen s_2e_2s_`x' = (`p_2e_`x''<=0.05 & `p_2e_`x''>0.01)
{txt} 27{com}.                 gen s_2e_3s_`x' = (`p_2e_`x''<=0.01 & `p_2e_`x''>=0)
{txt} 28{com}.         
.                 if s_2e_1s_`x' == 1 {c -(}
{txt} 29{com}.                                 local est_2e_`x' = "`est_2e_`x''*"
{txt} 30{com}.                                 {c )-}
{txt} 31{com}.                                 
.                 if s_2e_2s_`x' == 1 {c -(}
{txt} 32{com}.                                 local est_2e_`x' = "`est_2e_`x''**"
{txt} 33{com}.                                 {c )-}
{txt} 34{com}.                                 
.                 if s_2e_3s_`x' == 1 {c -(}
{txt} 35{com}.                                 local est_2e_`x' = "`est_2e_`x''***"
{txt} 36{com}.                                 {c )-}
{txt} 37{com}.                                 
.                 local est_3e_`x' = string(_b[treatfull_votshare_nat],"%9.3fc")
{txt} 38{com}.                 local se_3e_`x' = string(_se[treatfull_votshare_nat],"%9.3fc")
{txt} 39{com}.                 local p_3e_`x' = (2 * ttail(e(df_r), abs(_b[treatfull_votshare_nat]/_se[treatfull_votshare_nat])))
{txt} 40{com}.                 
.                 gen s_3e_1s_`x' = (`p_3e_`x''<=0.1 & `p_3e_`x''>0.05)
{txt} 41{com}.                 gen s_3e_2s_`x' = (`p_3e_`x''<=0.05 & `p_3e_`x''>0.01)
{txt} 42{com}.                 gen s_3e_3s_`x' = (`p_3e_`x''<=0.01 & `p_3e_`x''>=0)
{txt} 43{com}.         
.                 if s_3e_1s_`x' == 1 {c -(}
{txt} 44{com}.                                 local est_3e_`x' = "`est_3e_`x''*"
{txt} 45{com}.                                 {c )-}
{txt} 46{com}.                                 
.                 if s_3e_2s_`x' == 1 {c -(}
{txt} 47{com}.                                 local est_3e_`x' = "`est_3e_`x''**"
{txt} 48{com}.                                 {c )-}
{txt} 49{com}.                                 
.                 if s_3e_3s_`x' == 1 {c -(}
{txt} 50{com}.                                 local est_3e_`x' = "`est_3e_`x''***"
{txt} 51{com}.                                 {c )-}
{txt} 52{com}.                                 
.                 test treatfull = 0
{txt} 53{com}.                 local f_walde_`x' = string(`r(p)',"%9.3fc")
{txt} 54{com}.                 
.                 lincom treatfull + treatfull_votshare_nat
{txt} 55{com}.                 local est_4_`x' = string(`r(estimate)',"%9.3fc")
{txt} 56{com}.                 local se_4_`x' = string(`r(se)',"%9.3fc")
{txt} 57{com}.                 local se_4_`x' = "`se_4_`x''"
{txt} 58{com}.                 test treatfull + treatfull_votshare_nat = 0
{txt} 59{com}.                 local p_4_`x' = string(`r(p)',"%9.3fc")
{txt} 60{com}.                 
.                                         
.                 local y = `y' + 1
{txt} 61{com}.                 {c )-}
{txt}note: b_urate_z_d omitted because of collinearity
{txt}note: b_above_natmed_nrmpres omitted because of collinearity
{res}
{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}     7,288
{txt}{col 49}F({res}   9{txt},{res}    186{txt}){col 67}= {res}     89.74
{txt}{col 49}Prob > F{col 67}= {res}    0.0000
{txt}{col 49}R-squared{col 67}= {res}    0.2299
{txt}{col 49}Adj R-squared{col 67}= {res}    0.2274
{txt}{col 49}Root MSE{col 67}= {res}    0.6613

{txt}{ralign 78:(Std. Err. adjusted for {res:187} clusters in hc_id)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}   e_urate_z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2} .0256774{col 26}{space 2} .0281612{col 37}{space 1}    0.91{col 46}{space 3}0.363{col 54}{space 4} -.029879{col 67}{space 3} .0812337
{txt}treatfull_~t {c |}{col 14}{res}{space 2} .0049281{col 26}{space 2} .0469933{col 37}{space 1}    0.10{col 46}{space 3}0.917{col 54}{space 4}-.0877804{col 67}{space 3} .0976366
{txt}b_above_na~s {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 3}b_urate_z {c |}{col 14}{res}{space 2} .3555438{col 26}{space 2} .0144879{col 37}{space 1}   24.54{col 46}{space 3}0.000{col 54}{space 4} .3269621{col 67}{space 3} .3841255
{txt}{space 1}b_urate_z_d {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
c_tfull_b_~d {c |}{col 14}{res}{space 2} .1630038{col 26}{space 2} .0570612{col 37}{space 1}    2.86{col 46}{space 3}0.005{col 54}{space 4} .0504335{col 67}{space 3} .2755741
{txt}c_tfull_ed~r {c |}{col 14}{res}{space 2}-.0126161{col 26}{space 2} .0028509{col 37}{space 1}   -4.43{col 46}{space 3}0.000{col 54}{space 4}-.0182402{col 67}{space 3}-.0069919
{txt}c_tfull_b_~x {c |}{col 14}{res}{space 2}-.0405662{col 26}{space 2} .0133341{col 37}{space 1}   -3.04{col 46}{space 3}0.003{col 54}{space 4}-.0668717{col 67}{space 3}-.0142608
{txt}c_treatful.. {c |}{col 14}{res}{space 2}-.0327954{col 26}{space 2}  .079767{col 37}{space 1}   -0.41{col 46}{space 3}0.681{col 54}{space 4}-.1901597{col 67}{space 3} .1245689
{txt}c_treatful.. {c |}{col 14}{res}{space 2} .0025184{col 26}{space 2} .0041539{col 37}{space 1}    0.61{col 46}{space 3}0.545{col 54}{space 4}-.0056765{col 67}{space 3} .0107132
{txt}c_treatful.. {c |}{col 14}{res}{space 2}-.0100362{col 26}{space 2} .0194947{col 37}{space 1}   -0.51{col 46}{space 3}0.607{col 54}{space 4}-.0484953{col 67}{space 3} .0284229
{txt}{space 7}_cons {c |}{col 14}{res}{space 2}-.0201145{col 26}{space 2} .0156049{col 37}{space 1}   -1.29{col 46}{space 3}0.199{col 54}{space 4}-.0508998{col 67}{space 3} .0106708
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull = 0{p_end}

{txt}       F(  1,   186) ={res}    0.83
{txt}{col 13}Prob > F ={res}    0.3631

{p 0 7}{space 1}{text:( 1)}{space 1} treatfull + treatfull_votshare_nat = 0{p_end}

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}   e_urate_z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}(1) {c |}{col 14}{res}{space 2} .0306055{col 26}{space 2} .0362684{col 37}{space 1}    0.84{col 46}{space 3}0.400{col 54}{space 4}-.0409449{col 67}{space 3} .1021559
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull + treatfull_votshare_nat = 0{p_end}

{txt}       F(  1,   186) ={res}    0.71
{txt}{col 13}Prob > F ={res}    0.3998
{txt}note: b_treatqual_z_d omitted because of collinearity
{txt}note: b_above_natmed_nrmpres omitted because of collinearity
{res}
{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}     7,288
{txt}{col 49}F({res}   9{txt},{res}    186{txt}){col 67}= {res}      5.89
{txt}{col 49}Prob > F{col 67}= {res}    0.0000
{txt}{col 49}R-squared{col 67}= {res}    0.0922
{txt}{col 49}Adj R-squared{col 67}= {res}    0.0892
{txt}{col 49}Root MSE{col 67}= {res}    0.3532

{txt}{ralign 78:(Std. Err. adjusted for {res:187} clusters in hc_id)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}e_treatq~l_z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2} .0835664{col 26}{space 2} .0372264{col 37}{space 1}    2.24{col 46}{space 3}0.026{col 54}{space 4} .0101261{col 67}{space 3} .1570068
{txt}treatfull_~t {c |}{col 14}{res}{space 2}-.0344322{col 26}{space 2} .0512992{col 37}{space 1}   -0.67{col 46}{space 3}0.503{col 54}{space 4}-.1356353{col 67}{space 3} .0667709
{txt}b_above_na~s {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
b_treatq~l_z {c |}{col 14}{res}{space 2} .1091684{col 26}{space 2}   .02052{col 37}{space 1}    5.32{col 46}{space 3}0.000{col 54}{space 4} .0686866{col 67}{space 3} .1496502
{txt}b_trea~l_z_d {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
c_tfull_b_~d {c |}{col 14}{res}{space 2}  .011795{col 26}{space 2} .0236978{col 37}{space 1}    0.50{col 46}{space 3}0.619{col 54}{space 4}-.0349561{col 67}{space 3}  .058546
{txt}c_tfull_ed~r {c |}{col 14}{res}{space 2} -.002415{col 26}{space 2} .0016713{col 37}{space 1}   -1.44{col 46}{space 3}0.150{col 54}{space 4}-.0057121{col 67}{space 3} .0008822
{txt}c_tfull_b_~x {c |}{col 14}{res}{space 2}-.0012528{col 26}{space 2} .0087727{col 37}{space 1}   -0.14{col 46}{space 3}0.887{col 54}{space 4}-.0185595{col 67}{space 3} .0160539
{txt}c_treatful.. {c |}{col 14}{res}{space 2} .0437865{col 26}{space 2} .0326008{col 37}{space 1}    1.34{col 46}{space 3}0.181{col 54}{space 4}-.0205283{col 67}{space 3} .1081014
{txt}c_treatful.. {c |}{col 14}{res}{space 2} .0022828{col 26}{space 2} .0022968{col 37}{space 1}    0.99{col 46}{space 3}0.322{col 54}{space 4}-.0022483{col 67}{space 3}  .006814
{txt}c_treatful.. {c |}{col 14}{res}{space 2}-.0166559{col 26}{space 2} .0124543{col 37}{space 1}   -1.34{col 46}{space 3}0.183{col 54}{space 4}-.0412258{col 67}{space 3}  .007914
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} .0014858{col 26}{space 2} .0203816{col 37}{space 1}    0.07{col 46}{space 3}0.942{col 54}{space 4}-.0387231{col 67}{space 3} .0416946
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull = 0{p_end}

{txt}       F(  1,   186) ={res}    5.04
{txt}{col 13}Prob > F ={res}    0.0260

{p 0 7}{space 1}{text:( 1)}{space 1} treatfull + treatfull_votshare_nat = 0{p_end}

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}e_treatq~l_z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}(1) {c |}{col 14}{res}{space 2} .0491342{col 26}{space 2} .0359753{col 37}{space 1}    1.37{col 46}{space 3}0.174{col 54}{space 4}-.0218378{col 67}{space 3} .1201062
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull + treatfull_votshare_nat = 0{p_end}

{txt}       F(  1,   186) ={res}    1.87
{txt}{col 13}Prob > F ={res}    0.1737
{txt}note: b_patsat_z_d omitted because of collinearity
{txt}note: b_above_natmed_nrmpres omitted because of collinearity
{res}
{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}     7,288
{txt}{col 49}F({res}   9{txt},{res}    186{txt}){col 67}= {res}     12.48
{txt}{col 49}Prob > F{col 67}= {res}    0.0000
{txt}{col 49}R-squared{col 67}= {res}    0.0389
{txt}{col 49}Adj R-squared{col 67}= {res}    0.0357
{txt}{col 49}Root MSE{col 67}= {res}    0.5871

{txt}{ralign 78:(Std. Err. adjusted for {res:187} clusters in hc_id)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}  e_patsat_z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2} .1193698{col 26}{space 2} .0327263{col 37}{space 1}    3.65{col 46}{space 3}0.000{col 54}{space 4} .0548074{col 67}{space 3} .1839323
{txt}treatfull_~t {c |}{col 14}{res}{space 2}-.1023326{col 26}{space 2} .0524067{col 37}{space 1}   -1.95{col 46}{space 3}0.052{col 54}{space 4}-.2057206{col 67}{space 3} .0010555
{txt}b_above_na~s {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 2}b_patsat_z {c |}{col 14}{res}{space 2} .1398546{col 26}{space 2} .0152098{col 37}{space 1}    9.20{col 46}{space 3}0.000{col 54}{space 4} .1098486{col 67}{space 3} .1698605
{txt}b_patsat_z_d {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
c_tfull_b_~d {c |}{col 14}{res}{space 2} .0043308{col 26}{space 2} .0432657{col 37}{space 1}    0.10{col 46}{space 3}0.920{col 54}{space 4}-.0810237{col 67}{space 3} .0896853
{txt}c_tfull_ed~r {c |}{col 14}{res}{space 2}  .002441{col 26}{space 2} .0026775{col 37}{space 1}    0.91{col 46}{space 3}0.363{col 54}{space 4}-.0028411{col 67}{space 3} .0077231
{txt}c_tfull_b_~x {c |}{col 14}{res}{space 2} .0012562{col 26}{space 2} .0107479{col 37}{space 1}    0.12{col 46}{space 3}0.907{col 54}{space 4}-.0199473{col 67}{space 3} .0224597
{txt}c_treatful.. {c |}{col 14}{res}{space 2}-.0246643{col 26}{space 2} .0529437{col 37}{space 1}   -0.47{col 46}{space 3}0.642{col 54}{space 4}-.1291117{col 67}{space 3} .0797831
{txt}c_treatful.. {c |}{col 14}{res}{space 2} .0021578{col 26}{space 2} .0035856{col 37}{space 1}    0.60{col 46}{space 3}0.548{col 54}{space 4} -.004916{col 67}{space 3} .0092315
{txt}c_treatful.. {c |}{col 14}{res}{space 2} .0002235{col 26}{space 2} .0151318{col 37}{space 1}    0.01{col 46}{space 3}0.988{col 54}{space 4}-.0296286{col 67}{space 3} .0300756
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} .0001988{col 26}{space 2} .0179233{col 37}{space 1}    0.01{col 46}{space 3}0.991{col 54}{space 4}-.0351604{col 67}{space 3} .0355579
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull = 0{p_end}

{txt}       F(  1,   186) ={res}   13.30
{txt}{col 13}Prob > F ={res}    0.0003

{p 0 7}{space 1}{text:( 1)}{space 1} treatfull + treatfull_votshare_nat = 0{p_end}

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}  e_patsat_z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}(1) {c |}{col 14}{res}{space 2} .0170373{col 26}{space 2} .0390411{col 37}{space 1}    0.44{col 46}{space 3}0.663{col 54}{space 4}-.0599831{col 67}{space 3} .0940577
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull + treatfull_votshare_nat = 0{p_end}

{txt}       F(  1,   186) ={res}    0.19
{txt}{col 13}Prob > F ={res}    0.6631
{txt}note: b_commtg_z_d omitted because of collinearity
{txt}note: b_above_natmed_nrmpres omitted because of collinearity
{res}
{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}     7,288
{txt}{col 49}F({res}   9{txt},{res}    186{txt}){col 67}= {res}      9.13
{txt}{col 49}Prob > F{col 67}= {res}    0.0000
{txt}{col 49}R-squared{col 67}= {res}    0.0909
{txt}{col 49}Adj R-squared{col 67}= {res}    0.0879
{txt}{col 49}Root MSE{col 67}= {res}    0.5605

{txt}{ralign 78:(Std. Err. adjusted for {res:187} clusters in hc_id)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}  e_commtg_z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2}-.0138515{col 26}{space 2} .0390745{col 37}{space 1}   -0.35{col 46}{space 3}0.723{col 54}{space 4}-.0909377{col 67}{space 3} .0632346
{txt}treatfull_~t {c |}{col 14}{res}{space 2} .0485468{col 26}{space 2}  .056817{col 37}{space 1}    0.85{col 46}{space 3}0.394{col 54}{space 4}-.0635418{col 67}{space 3} .1606355
{txt}b_above_na~s {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 2}b_commtg_z {c |}{col 14}{res}{space 2} .0819914{col 26}{space 2} .0133752{col 37}{space 1}    6.13{col 46}{space 3}0.000{col 54}{space 4} .0556048{col 67}{space 3} .1083779
{txt}b_commtg_z_d {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
c_tfull_b_~d {c |}{col 14}{res}{space 2} .0405109{col 26}{space 2} .0478867{col 37}{space 1}    0.85{col 46}{space 3}0.399{col 54}{space 4}  -.05396{col 67}{space 3} .1349817
{txt}c_tfull_ed~r {c |}{col 14}{res}{space 2} .0034416{col 26}{space 2} .0024535{col 37}{space 1}    1.40{col 46}{space 3}0.162{col 54}{space 4}-.0013987{col 67}{space 3} .0082818
{txt}c_tfull_b_~x {c |}{col 14}{res}{space 2}  .029594{col 26}{space 2} .0113884{col 37}{space 1}    2.60{col 46}{space 3}0.010{col 54}{space 4} .0071269{col 67}{space 3} .0520611
{txt}c_treatful.. {c |}{col 14}{res}{space 2} .1088594{col 26}{space 2} .0651616{col 37}{space 1}    1.67{col 46}{space 3}0.096{col 54}{space 4}-.0196914{col 67}{space 3} .2374102
{txt}c_treatful.. {c |}{col 14}{res}{space 2} .0010447{col 26}{space 2} .0035362{col 37}{space 1}    0.30{col 46}{space 3}0.768{col 54}{space 4}-.0059315{col 67}{space 3} .0080209
{txt}c_treatful.. {c |}{col 14}{res}{space 2}-.0125671{col 26}{space 2} .0184693{col 37}{space 1}   -0.68{col 46}{space 3}0.497{col 54}{space 4}-.0490032{col 67}{space 3}  .023869
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} .0017253{col 26}{space 2}  .018966{col 37}{space 1}    0.09{col 46}{space 3}0.928{col 54}{space 4}-.0356908{col 67}{space 3} .0391414
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull = 0{p_end}

{txt}       F(  1,   186) ={res}    0.13
{txt}{col 13}Prob > F ={res}    0.7234

{p 0 7}{space 1}{text:( 1)}{space 1} treatfull + treatfull_votshare_nat = 0{p_end}

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}  e_commtg_z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}(1) {c |}{col 14}{res}{space 2} .0346953{col 26}{space 2} .0411687{col 37}{space 1}    0.84{col 46}{space 3}0.400{col 54}{space 4}-.0465223{col 67}{space 3} .1159129
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull + treatfull_votshare_nat = 0{p_end}

{txt}       F(  1,   186) ={res}    0.71
{txt}{col 13}Prob > F ={res}    0.4004
{txt}
{com}.         
. 
.         ********************
.         * Individual level *
.         ********************
.         
.         * Health outcome
. 
.         * At endline
.         
.         use "${c -(}usedata{c )-}/healthoutcome_endline_ind.dta", clear
{txt}
{com}.         
.         ***************
.         * Regressions *
.         ***************
. 
.         local var treatfull
{txt}
{com}.         
.         areg  e_healthoutcome_z treatfull treatfull_votshare_nat b_above_natmed_nrmpres b_healthoutcome_z b_healthoutcome_z_d `e_controls_tfull' ``var'_int_e_controls', robust cl(hc_id) a(district) 
{txt}note: b_above_natmed_nrmpres omitted because of collinearity
{res}
{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}     4,930
{txt}{col 49}F({res}  10{txt},{res}    186{txt}){col 67}= {res}     70.18
{txt}{col 49}Prob > F{col 67}= {res}    0.0000
{txt}{col 49}R-squared{col 67}= {res}    0.1112
{txt}{col 49}Adj R-squared{col 67}= {res}    0.1066
{txt}{col 49}Root MSE{col 67}= {res}    0.8984

{txt}{ralign 78:(Std. Err. adjusted for {res:187} clusters in hc_id)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}e_healthou~z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2}-.0029697{col 26}{space 2}  .039331{col 37}{space 1}   -0.08{col 46}{space 3}0.940{col 54}{space 4}-.0805618{col 67}{space 3} .0746225
{txt}treatfull_~t {c |}{col 14}{res}{space 2}-.0023118{col 26}{space 2} .0569241{col 37}{space 1}   -0.04{col 46}{space 3}0.968{col 54}{space 4}-.1146116{col 67}{space 3} .1099881
{txt}b_above_na~s {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
b_healthou~z {c |}{col 14}{res}{space 2} .1301806{col 26}{space 2} .0154333{col 37}{space 1}    8.44{col 46}{space 3}0.000{col 54}{space 4} .0997338{col 67}{space 3} .1606274
{txt}b_healthou~d {c |}{col 14}{res}{space 2} .6766979{col 26}{space 2} .0267835{col 37}{space 1}   25.27{col 46}{space 3}0.000{col 54}{space 4} .6238594{col 67}{space 3} .7295363
{txt}c_tfull_b_~d {c |}{col 14}{res}{space 2} .0682258{col 26}{space 2} .0875752{col 37}{space 1}    0.78{col 46}{space 3}0.437{col 54}{space 4}-.1045425{col 67}{space 3} .2409942
{txt}c_tfull_ed~r {c |}{col 14}{res}{space 2} .0096228{col 26}{space 2} .0054242{col 37}{space 1}    1.77{col 46}{space 3}0.078{col 54}{space 4} -.001078{col 67}{space 3} .0203236
{txt}c_tfull_b_~x {c |}{col 14}{res}{space 2} .0680761{col 26}{space 2} .0255301{col 37}{space 1}    2.67{col 46}{space 3}0.008{col 54}{space 4} .0177104{col 67}{space 3} .1184418
{txt}c_treatful.. {c |}{col 14}{res}{space 2} -.094133{col 26}{space 2} .1071939{col 37}{space 1}   -0.88{col 46}{space 3}0.381{col 54}{space 4} -.305605{col 67}{space 3} .1173391
{txt}c_treatful.. {c |}{col 14}{res}{space 2} .0000474{col 26}{space 2} .0066876{col 37}{space 1}    0.01{col 46}{space 3}0.994{col 54}{space 4}-.0131459{col 67}{space 3} .0132406
{txt}c_treatful.. {c |}{col 14}{res}{space 2}-.0475788{col 26}{space 2}  .030954{col 37}{space 1}   -1.54{col 46}{space 3}0.126{col 54}{space 4} -.108645{col 67}{space 3} .0134873
{txt}{space 7}_cons {c |}{col 14}{res}{space 2}-.5105985{col 26}{space 2} .0222268{col 37}{space 1}  -22.97{col 46}{space 3}0.000{col 54}{space 4}-.5544476{col 67}{space 3}-.4667495
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{com}.         
.                 estimates store me6
{txt}
{com}.                 
.                 local n_1e_healthout_z = string(`e(N)',"%9.0fc")
{txt}
{com}.                 local r2_1e_healthout_z = string(`e(r2)',"%9.3fc")
{txt}
{com}.                 local est_1e_healthout_z = string(_b[`var'],"%9.3fc")
{txt}
{com}.                 local se_1e_healthout_z = string(_se[`var'],"%9.3fc")
{txt}
{com}.                 local p_1e_healthout_z = (2 * ttail(e(df_r), abs(_b[`var']/_se[`var'])))
{txt}
{com}.                 local p_6e = (2 * ttail(e(df_r), abs(_b[`var']/_se[`var'])))
{txt}
{com}.                 
.                 gen s_1e_1s_healthout_z = (`p_1e_healthout_z'<=0.1 & `p_1e_healthout_z'>0.05)
{txt}
{com}.                 gen s_1e_2s_healthout_z = (`p_1e_healthout_z'<=0.05 & `p_1e_healthout_z'>0.01)
{txt}
{com}.                 gen s_1e_3s_healthout_z = (`p_1e_healthout_z'<=0.01 & `p_1e_healthout_z'>=0)
{txt}
{com}.         
.                 if s_1e_1s_healthout_z == 1 {c -(}
.                                 local est_1e_healthout_z = "`est_1e_healthout_z'*"
.                                 {c )-}
{txt}
{com}.                                 
.                 if s_1e_2s_healthout_z == 1 {c -(}
.                                 local est_1e_healthout_z = "`est_1e_healthout_z'**"
.                                 {c )-}
{txt}
{com}.                                 
.                 if s_1e_3s_healthout_z == 1 {c -(}
.                                 local est_1e_healthout_z = "`est_1e_healthout_z'***"
.                                 {c )-}
{txt}
{com}.                 
.                 local est_2e_healthout_z = string(_b[_cons],"%9.3fc")
{txt}
{com}.                 local se_2e_healthout_z = string(_se[_cons],"%9.3fc")
{txt}
{com}.                 local p_2e_healthout_z = (2 * ttail(e(df_r), abs(_b[_cons]/_se[_cons])))
{txt}
{com}.                 
.                 gen s_2e_1s_healthout_z = (`p_2e_healthout_z'<=0.1 & `p_2e_healthout_z'>0.05)
{txt}
{com}.                 gen s_2e_2s_healthout_z = (`p_2e_healthout_z'<=0.05 & `p_2e_healthout_z'>0.01)
{txt}
{com}.                 gen s_2e_3s_healthout_z = (`p_2e_healthout_z'<=0.01 & `p_2e_healthout_z'>=0)
{txt}
{com}.         
.                 if s_2e_1s_healthout_z == 1 {c -(}
.                                 local est_2e_healthout_z = "`est_2e_healthout_z'*"
.                                 {c )-}
{txt}
{com}.                                 
.                 if s_2e_2s_healthout_z == 1 {c -(}
.                                 local est_2e_healthout_z = "`est_2e_healthout_z'**"
.                                 {c )-}
{txt}
{com}.                                 
.                 if s_2e_3s_healthout_z == 1 {c -(}
.                                 local est_2e_healthout_z = "`est_2e_healthout_z'***"
.                                 {c )-}
{txt}
{com}.                                 
.                 local est_3e_healthout_z = string(_b[treatfull_votshare_nat],"%9.3fc")
{txt}
{com}.                 local se_3e_healthout_z = string(_se[treatfull_votshare_nat],"%9.3fc")
{txt}
{com}.                 local p_3e_healthout_z = (2 * ttail(e(df_r), abs(_b[treatfull_votshare_nat]/_se[treatfull_votshare_nat])))
{txt}
{com}.                 
.                 gen s_3e_1s_healthout_z = (`p_3e_healthout_z'<=0.1 & `p_3e_healthout_z'>0.05)
{txt}
{com}.                 gen s_3e_2s_healthout_z = (`p_3e_healthout_z'<=0.05 & `p_3e_healthout_z'>0.01)
{txt}
{com}.                 gen s_3e_3s_healthout_z = (`p_3e_healthout_z'<=0.01 & `p_3e_healthout_z'>=0)
{txt}
{com}.         
.                 if s_3e_1s_healthout_z == 1 {c -(}
.                                 local est_3e_`x' = "`est_3e_healthout_z'*"
.                                 {c )-}
{txt}
{com}.                                 
.                 if s_3e_2s_healthout_z == 1 {c -(}
.                                 local est_3e_`x' = "`est_3e_healthout_z'**"
.                                 {c )-}
{txt}
{com}.                                 
.                 if s_3e_3s_healthout_z == 1 {c -(}
.                                 local est_3e_`x' = "`est_3e_healthout_z'***"
.                                 {c )-}
{txt}
{com}.                                 
.                                 
.                 test treatfull = 0

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull = 0{p_end}

{txt}       F(  1,   186) ={res}    0.01
{txt}{col 13}Prob > F ={res}    0.9399
{txt}
{com}.                 local f_walde_healthout_z = string(`r(p)',"%9.3fc")
{txt}
{com}.                 
.                 lincom treatfull + treatfull_votshare_nat

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull + treatfull_votshare_nat = 0{p_end}

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}e_healthou~z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}(1) {c |}{col 14}{res}{space 2}-.0052815{col 26}{space 2} .0390548{col 37}{space 1}   -0.14{col 46}{space 3}0.893{col 54}{space 4}-.0823287{col 67}{space 3} .0717658
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}.                 local est_4_healthout_z = string(`r(estimate)',"%9.3fc")
{txt}
{com}.                 local se_4_healthout_z = string(`r(se)',"%9.3fc")
{txt}
{com}.                 local se_4_healthout_z = "`se_4_healthout_z'"
{txt}
{com}.                 test treatfull + treatfull_votshare_nat = 0

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull + treatfull_votshare_nat = 0{p_end}

{txt}       F(  1,   186) ={res}    0.02
{txt}{col 13}Prob > F ={res}    0.8926
{txt}
{com}.                 local p_4_healthout_z = string(`r(p)',"%9.3fc")
{txt}
{com}.                 
.                 
.         use "${c -(}usedata{c )-}/chp_el_light_dataset.dta", clear
{txt}
{com}.         
.         local indices_hc mortrate_05 h_ctzpressure_z
{txt}
{com}.         
.         * Mortrate HC level (endline)
.         
.         local y = 7
{txt}
{com}.         foreach x in `indices_hc' {c -(}
{txt}  2{com}.                 areg  e_`x' `var' treatfull_votshare_nat b_above_natmed_nrmpres b_`x' `e_controls_tfull_hc' ``var'_hc_int_e_controls' if uniquehc == 1, robust a(district)
{txt}  3{com}.                 
.                 estimates store me`y'
{txt}  4{com}.                 
.                 local n_1e_`x' = string(`e(N)',"%9.0fc")
{txt}  5{com}.                 local r2_1e_`x' = string(`e(r2)',"%9.3fc")
{txt}  6{com}.                 local est_1e_`x' = string(_b[`var'],"%9.3fc")
{txt}  7{com}.                 local se_1e_`x' = string(_se[`var'],"%9.3fc")
{txt}  8{com}.                 local p_1e_`x' = (2 * ttail(e(df_r), abs(_b[`var']/_se[`var'])))
{txt}  9{com}.                 local p_`y'e = (2 * ttail(e(df_r), abs(_b[`var']/_se[`var'])))
{txt} 10{com}.                 
.                 gen s_1e_1s_`x' = (`p_1e_`x''<=0.1 & `p_1e_`x''>0.05)
{txt} 11{com}.                 gen s_1e_2s_`x' = (`p_1e_`x''<=0.05 & `p_1e_`x''>0.01)
{txt} 12{com}.                 gen s_1e_3s_`x' = (`p_1e_`x''<=0.01 & `p_1e_`x''>=0)
{txt} 13{com}.         
.                 if s_1e_1s_`x' == 1 {c -(}
{txt} 14{com}.                                 local est_1e_`x' = "`est_1e_`x''*"
{txt} 15{com}.                                 {c )-}
{txt} 16{com}.                                 
.                 if s_1e_2s_`x' == 1 {c -(}
{txt} 17{com}.                                 local est_1e_`x' = "`est_1e_`x''**"
{txt} 18{com}.                                 {c )-}
{txt} 19{com}.                                 
.                 if s_1e_3s_`x' == 1 {c -(}
{txt} 20{com}.                                 local est_1e_`x' = "`est_1e_`x''***"
{txt} 21{com}.                                 {c )-}
{txt} 22{com}.                 
.                 local est_2e_`x' = string(_b[_cons],"%9.3fc")
{txt} 23{com}.                 local se_2e_`x' = string(_se[_cons],"%9.3fc")
{txt} 24{com}.                 local p_2e_`x' = (2 * ttail(e(df_r), abs(_b[_cons]/_se[_cons])))
{txt} 25{com}.                 
.                 gen s_2e_1s_`x' = (`p_2e_`x''<=0.1 & `p_2e_`x''>0.05)
{txt} 26{com}.                 gen s_2e_2s_`x' = (`p_2e_`x''<=0.05 & `p_2e_`x''>0.01)
{txt} 27{com}.                 gen s_2e_3s_`x' = (`p_2e_`x''<=0.01 & `p_2e_`x''>=0)
{txt} 28{com}.         
.                 if s_2e_1s_`x' == 1 {c -(}
{txt} 29{com}.                                 local est_2e_`x' = "`est_2e_`x''*"
{txt} 30{com}.                                 {c )-}
{txt} 31{com}.                                 
.                 if s_2e_2s_`x' == 1 {c -(}
{txt} 32{com}.                                 local est_2e_`x' = "`est_2e_`x''**"
{txt} 33{com}.                                 {c )-}
{txt} 34{com}.                                 
.                 if s_2e_3s_`x' == 1 {c -(}
{txt} 35{com}.                                 local est_2e_`x' = "`est_2e_`x''***"
{txt} 36{com}.                                 {c )-}
{txt} 37{com}.                                 
.                 local est_3e_`x' = string(_b[treatfull_votshare_nat],"%9.3fc")
{txt} 38{com}.                 local se_3e_`x' = string(_se[treatfull_votshare_nat],"%9.3fc")
{txt} 39{com}.                 local p_3e_`x' = (2 * ttail(e(df_r), abs(_b[treatfull_votshare_nat]/_se[treatfull_votshare_nat])))
{txt} 40{com}.                 
.                 gen s_3e_1s_`x' = (`p_3e_`x''<=0.1 & `p_3e_`x''>0.05)
{txt} 41{com}.                 gen s_3e_2s_`x' = (`p_3e_`x''<=0.05 & `p_3e_`x''>0.01)
{txt} 42{com}.                 gen s_3e_3s_`x' = (`p_3e_`x''<=0.01 & `p_3e_`x''>=0)
{txt} 43{com}.         
.                 if s_3e_1s_`x' == 1 {c -(}
{txt} 44{com}.                                 local est_3e_`x' = "`est_3e_`x''*"
{txt} 45{com}.                                 {c )-}
{txt} 46{com}.                                 
.                 if s_3e_2s_`x' == 1 {c -(}
{txt} 47{com}.                                 local est_3e_`x' = "`est_3e_`x''**"
{txt} 48{com}.                                 {c )-}
{txt} 49{com}.                                 
.                 if s_3e_3s_`x' == 1 {c -(}
{txt} 50{com}.                                 local est_3e_`x' = "`est_3e_`x''***"
{txt} 51{com}.                                 {c )-}
{txt} 52{com}.                                 
.                 test treatfull = 0
{txt} 53{com}.                 local f_walde_`x' = string(`r(p)',"%9.3fc")
{txt} 54{com}.                 
.                 lincom treatfull + treatfull_votshare_nat
{txt} 55{com}.                 local est_4_`x' = string(`r(estimate)',"%9.3fc")
{txt} 56{com}.                 local se_4_`x' = string(`r(se)',"%9.3fc")
{txt} 57{com}.                 local se_4_`x' = "`se_4_`x''"
{txt} 58{com}.                 test treatfull + treatfull_votshare_nat = 0
{txt} 59{com}.                 local p_4_`x' = string(`r(p)',"%9.3fc")
{txt} 60{com}.                 
.                                 
.                 {c )-}
{p 0 6 2}{txt}note: b_above_natmed_nrmpres omitted because of collinearity{p_end}
{res}
{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}       187
{txt}{col 49}F({res}  15{txt},{res}    156{txt}){col 67}= {res}      1.35
{txt}{col 49}Prob > F{col 67}= {res}    0.1786
{txt}{col 49}R-squared{col 67}= {res}    0.1989
{txt}{col 49}Adj R-squared{col 67}= {res}    0.0448
{txt}{col 49}Root MSE{col 67}= {res}    0.0536

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}e_mortrat~05{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2}-.0154317{col 26}{space 2} .0122026{col 37}{space 1}   -1.26{col 46}{space 3}0.208{col 54}{space 4}-.0395353{col 67}{space 3} .0086718
{txt}treatfull_~t {c |}{col 14}{res}{space 2} .0112941{col 26}{space 2} .0216852{col 37}{space 1}    0.52{col 46}{space 3}0.603{col 54}{space 4}-.0315405{col 67}{space 3} .0541286
{txt}b_above_na~s {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
b_mortrat~05 {c |}{col 14}{res}{space 2} .0887518{col 26}{space 2} .0672825{col 37}{space 1}    1.32{col 46}{space 3}0.189{col 54}{space 4}-.0441504{col 67}{space 3} .2216541
{txt}c_tf~_hc_hc2 {c |}{col 14}{res}{space 2} .0081459{col 26}{space 2}  .016923{col 37}{space 1}    0.48{col 46}{space 3}0.631{col 54}{space 4}-.0252819{col 67}{space 3} .0415737
{txt}c_tfull_hc~l {c |}{col 14}{res}{space 2} .0016633{col 26}{space 2} .0213132{col 37}{space 1}    0.08{col 46}{space 3}0.938{col 54}{space 4}-.0404364{col 67}{space 3}  .043763
{txt}c_tfull_hc~s {c |}{col 14}{res}{space 2} .0092911{col 26}{space 2} .0226654{col 37}{space 1}    0.41{col 46}{space 3}0.682{col 54}{space 4}-.0354797{col 67}{space 3} .0540618
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2} .0350347{col 26}{space 2} .0577831{col 37}{space 1}    0.61{col 46}{space 3}0.545{col 54}{space 4}-.0791036{col 67}{space 3}  .149173
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2}-.0066151{col 26}{space 2} .0071948{col 37}{space 1}   -0.92{col 46}{space 3}0.359{col 54}{space 4}-.0208269{col 67}{space 3} .0075967
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2} .0193135{col 26}{space 2} .0236882{col 37}{space 1}    0.82{col 46}{space 3}0.416{col 54}{space 4}-.0274775{col 67}{space 3} .0661045
{txt}c_treatful.. {c |}{col 14}{res}{space 2}-.0048776{col 26}{space 2} .0195079{col 37}{space 1}   -0.25{col 46}{space 3}0.803{col 54}{space 4}-.0434114{col 67}{space 3} .0336561
{txt}c_treatful.. {c |}{col 14}{res}{space 2}-.0019701{col 26}{space 2} .0234905{col 37}{space 1}   -0.08{col 46}{space 3}0.933{col 54}{space 4}-.0483706{col 67}{space 3} .0444305
{txt}c_treatful.. {c |}{col 14}{res}{space 2}-.0338817{col 26}{space 2} .0277507{col 37}{space 1}   -1.22{col 46}{space 3}0.224{col 54}{space 4}-.0886972{col 67}{space 3} .0209338
{txt}c_treatful.. {c |}{col 14}{res}{space 2} -.180346{col 26}{space 2} .0915538{col 37}{space 1}   -1.97{col 46}{space 3}0.051{col 54}{space 4}-.3611911{col 67}{space 3}  .000499
{txt}c_treatful.. {c |}{col 14}{res}{space 2}-.0015648{col 26}{space 2} .0088977{col 37}{space 1}   -0.18{col 46}{space 3}0.861{col 54}{space 4}-.0191402{col 67}{space 3} .0160107
{txt}c_treatful.. {c |}{col 14}{res}{space 2}-.0251276{col 26}{space 2} .0327931{col 37}{space 1}   -0.77{col 46}{space 3}0.445{col 54}{space 4}-.0899033{col 67}{space 3} .0396481
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} .0601456{col 26}{space 2} .0065224{col 37}{space 1}    9.22{col 46}{space 3}0.000{col 54}{space 4} .0472619{col 67}{space 3} .0730293
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull = 0{p_end}

{txt}       F(  1,   156) ={res}    1.60
{txt}{col 13}Prob > F ={res}    0.2079

{p 0 7}{space 1}{text:( 1)}{space 1} treatfull + treatfull_votshare_nat = 0{p_end}

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}e_mortrat~05{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}(1) {c |}{col 14}{res}{space 2}-.0041377{col 26}{space 2}  .014769{col 37}{space 1}   -0.28{col 46}{space 3}0.780{col 54}{space 4}-.0333106{col 67}{space 3} .0250353
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull + treatfull_votshare_nat = 0{p_end}

{txt}       F(  1,   156) ={res}    0.08
{txt}{col 13}Prob > F ={res}    0.7797
{p 0 6 2}{txt}note: b_above_natmed_nrmpres omitted because of collinearity{p_end}
{res}
{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}       187
{txt}{col 49}F({res}  15{txt},{res}    156{txt}){col 67}= {res}      1.24
{txt}{col 49}Prob > F{col 67}= {res}    0.2473
{txt}{col 49}R-squared{col 67}= {res}    0.1547
{txt}{col 49}Adj R-squared{col 67}= {res}   -0.0078
{txt}{col 49}Root MSE{col 67}= {res}    0.6915

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}e_h_ctzpre~z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2}-.2151917{col 26}{space 2} .1770134{col 37}{space 1}   -1.22{col 46}{space 3}0.226{col 54}{space 4} -.564844{col 67}{space 3} .1344607
{txt}treatfull_~t {c |}{col 14}{res}{space 2} .1768596{col 26}{space 2} .2718783{col 37}{space 1}    0.65{col 46}{space 3}0.516{col 54}{space 4}-.3601782{col 67}{space 3} .7138975
{txt}b_above_na~s {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
b_h_ctzpre~z {c |}{col 14}{res}{space 2} .0088096{col 26}{space 2} .0689467{col 37}{space 1}    0.13{col 46}{space 3}0.898{col 54}{space 4}-.1273799{col 67}{space 3} .1449991
{txt}c_tf~_hc_hc2 {c |}{col 14}{res}{space 2}-.0874673{col 26}{space 2} .1533201{col 37}{space 1}   -0.57{col 46}{space 3}0.569{col 54}{space 4}-.3903186{col 67}{space 3}  .215384
{txt}c_tfull_hc~l {c |}{col 14}{res}{space 2} .0627091{col 26}{space 2}  .197227{col 37}{space 1}    0.32{col 46}{space 3}0.751{col 54}{space 4}-.3268708{col 67}{space 3}  .452289
{txt}c_tfull_hc~s {c |}{col 14}{res}{space 2} .5983513{col 26}{space 2} .2631493{col 37}{space 1}    2.27{col 46}{space 3}0.024{col 54}{space 4} .0785558{col 67}{space 3} 1.118147
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2}-.5528127{col 26}{space 2} .5883281{col 37}{space 1}   -0.94{col 46}{space 3}0.349{col 54}{space 4} -1.71493{col 67}{space 3} .6093045
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2}-.0510708{col 26}{space 2} .0839488{col 37}{space 1}   -0.61{col 46}{space 3}0.544{col 54}{space 4}-.2168938{col 67}{space 3} .1147521
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2} -.106532{col 26}{space 2} .2470701{col 37}{space 1}   -0.43{col 46}{space 3}0.667{col 54}{space 4}-.5945665{col 67}{space 3} .3815026
{txt}c_treatful.. {c |}{col 14}{res}{space 2} .0543915{col 26}{space 2} .2426426{col 37}{space 1}    0.22{col 46}{space 3}0.823{col 54}{space 4}-.4248974{col 67}{space 3} .5336803
{txt}c_treatful.. {c |}{col 14}{res}{space 2}-.1791906{col 26}{space 2}  .250911{col 37}{space 1}   -0.71{col 46}{space 3}0.476{col 54}{space 4} -.674812{col 67}{space 3} .3164307
{txt}c_treatful.. {c |}{col 14}{res}{space 2}-.5572453{col 26}{space 2}  .286943{col 37}{space 1}   -1.94{col 46}{space 3}0.054{col 54}{space 4} -1.12404{col 67}{space 3} .0095497
{txt}c_treatful.. {c |}{col 14}{res}{space 2} .8245769{col 26}{space 2} 1.032148{col 37}{space 1}    0.80{col 46}{space 3}0.426{col 54}{space 4}-1.214212{col 67}{space 3} 2.863366
{txt}c_treatful.. {c |}{col 14}{res}{space 2}  .167957{col 26}{space 2} .1213222{col 37}{space 1}    1.38{col 46}{space 3}0.168{col 54}{space 4}-.0716892{col 67}{space 3} .4076031
{txt}c_treatful.. {c |}{col 14}{res}{space 2}-.1729807{col 26}{space 2} .3446736{col 37}{space 1}   -0.50{col 46}{space 3}0.616{col 54}{space 4}-.8538101{col 67}{space 3} .5078488
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} .0124164{col 26}{space 2} .0636625{col 37}{space 1}    0.20{col 46}{space 3}0.846{col 54}{space 4}-.1133354{col 67}{space 3} .1381682
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull = 0{p_end}

{txt}       F(  1,   156) ={res}    1.48
{txt}{col 13}Prob > F ={res}    0.2259

{p 0 7}{space 1}{text:( 1)}{space 1} treatfull + treatfull_votshare_nat = 0{p_end}

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}e_h_ctzpre~z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}(1) {c |}{col 14}{res}{space 2} -.038332{col 26}{space 2} .1566572{col 37}{space 1}   -0.24{col 46}{space 3}0.807{col 54}{space 4} -.347775{col 67}{space 3} .2711109
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull + treatfull_votshare_nat = 0{p_end}

{txt}       F(  1,   156) ={res}    0.06
{txt}{col 13}Prob > F ={res}    0.8070
{txt}
{com}.         
.         * We create the tables concerning the results of the main indices
.         
.         texdoc init "${c -(}tables{c )-}/TableI26.tex", replace force
{res}{txt}(texdoc output file is /Users/fredericcochinard/Dropbox/ACT_Health_JOP_replication_file/3.Tables and Figures/Tables/TableI26.tex)
{res}{txt}
{com}.         tex \begin{c -(}table{c )-}[htbp]\centering
{res}{txt}
{com}.         tex \footnotesize
{res}{txt}
{com}.         tex \def\sym#1{c -(}\ifmmode^{c -(}#1{c )-}\else\(^{c -(}#1{c )-}\)\fi{c )-}
{res}{txt}
{com}.         tex \caption{c -(}Main outcomes - Full treatment{c )-}
{res}{txt}
{com}.         tex \begin{c -(}tabular{c )-}{c -(}lgggggggg{c )-}
{res}{txt}
{com}.         tex \toprule
{res}{txt}
{com}.         tex                                                                                       & (1)                       & (2)                                                          & (3)                                                             & (4)                                                        & (5)  & (6) & (7)                       \\
{res}{txt}
{com}.     tex \multirow{c -(}-2{c )-}{c -(}*{c )-}{c -(}{c )-}                              & \textbf{c -(}\begin{c -(}tabular{c )-}[c]{c -(}@{c -(}{c )-}c@{c -(}{c )-}{c )-}Citizen \\ monitoring\end{c -(}tabular{c )-}{c )-} & \textbf{c -(}\begin{c -(}tabular{c )-}[c]{c -(}@{c -(}{c )-}c@{c -(}{c )-}{c )-}Perceived citizen \\ pressure\end{c -(}tabular{c )-}{c )-}  & \textbf{c -(}Utilization{c )-}      & \textbf{c -(}\begin{c -(}tabular{c )-}[c]{c -(}@{c -(}{c )-}c@{c -(}{c )-}{c )-}Treatment \\ quality\end{c -(}tabular{c )-}{c )-} & \textbf{c -(}\begin{c -(}tabular{c )-}[c]{c -(}@{c -(}{c )-}c@{c -(}{c )-}{c )-}Patient \\ satisfaction\end{c -(}tabular{c )-}{c )-} & \textbf{c -(}\begin{c -(}tabular{c )-}[c]{c -(}@{c -(}{c )-}c@{c -(}{c )-}{c )-}Health \\ outcomes\end{c -(}tabular{c )-}{c )-} & \textbf{c -(}\begin{c -(}tabular{c )-}[c]{c -(}@{c -(}{c )-}c@{c -(}{c )-}{c )-}Child \\ mortality\end{c -(}tabular{c )-}{c )-}        \\
{res}{txt}
{com}.         tex \midrule
{res}{txt}
{com}.         tex \multirow{c -(}2{c )-}{c -(}*{c )-}{c -(}Treat{c )-}  & `est_1e_commtg_z' & `est_1e_h_ctzpressure_z' & `est_1e_urate_z'           & `est_1e_treatqual_z'                                                            & `est_1e_patsat_z'                                                              & `est_1e_healthout_z'                                                          & `est_1e_mortrate_05'         \\
{res}{txt}
{com}.         tex  & (`se_1e_commtg_z') & (`se_1e_h_ctzpressure_z') & (`se_1e_urate_z')           & (`se_1e_treatqual_z')                                                            & (`se_1e_patsat_z')                                                              & (`se_1e_healthout_z')                                                         & (`se_1e_mortrate_05')         \\
{res}{txt}
{com}.         tex \multirow{c -(}2{c )-}{c -(}*{c )-}{c -(}Treat * Museveni vote share above national median (2011){c )-}  & `est_3e_commtg_z' & `est_3e_h_ctzpressure_z' & `est_3e_urate_z'           & `est_3e_treatqual_z'                                                            & `est_3e_patsat_z'                                                              & `est_3e_healthout_z'                                                          & `est_3e_mortrate_05'         \\
{res}{txt}
{com}.         tex  & (`se_3e_commtg_z') & (`se_3e_h_ctzpressure_z') & (`se_3e_urate_z')           & (`se_3e_treatqual_z')                                                            & (`se_3e_patsat_z')                                                              & (`se_3e_healthout_z')                                                         & (`se_3e_mortrate_05')         \\     
{res}{txt}
{com}.         tex \multirow{c -(}2{c )-}{c -(}*{c )-}{c -(}Constant{c )-}  & `est_2e_commtg_z' & `est_2e_h_ctzpressure_z' & `est_2e_urate_z'           & `est_2e_treatqual_z'                                                            & `est_2e_patsat_z'                                                              & `est_2e_healthout_z'                                                          & `est_2e_mortrate_05'         \\
{res}{txt}
{com}.         tex  & (`se_2e_commtg_z') & (`se_2e_h_ctzpressure_z') & (`se_2e_urate_z')           & (`se_2e_treatqual_z')                                                            & (`se_2e_patsat_z')                                                               & (`se_2e_healthout_z')                                                          & `se_2e_mortrate_05'         \\
{res}{txt}
{com}.         tex \midrule
{res}{txt}
{com}.         tex \multirow{c -(}1{c )-}{c -(}*{c )-}{c -(}N{c )-} & `n_1e_commtg_z'  & `n_1e_h_ctzpressure_z' & `n_1e_urate_z'           & `n_1e_treatqual_z'                                                            & `n_1e_patsat_z'                                                            & `n_1e_healthout_z'                                                          & `n_1e_mortrate_05'         \\
{res}{txt}
{com}.         tex \multirow{c -(}1{c )-}{c -(}*{c )-}{c -(}R$^{c -(}2{c )-}${c )-}   & `r2_1e_commtg_z'  & `r2_1e_h_ctzpressure_z' & `r2_1e_urate_z'           & `r2_1e_treatqual_z'                                                           & `r2_1e_patsat_z'                                                             & `r2_1e_healthout_z'                                                         & `r2_1e_mortrate_05'         \\
{res}{txt}
{com}.         tex \midrule
{res}{txt}
{com}.         tex \multirow{c -(}1{c )-}{c -(}*{c )-}{c -(}Coeff. Treat + Treat * Museveni vote share above national median (2011){c )-}  & `est_4_commtg_z' & `est_4_h_ctzpressure_z' & `est_4_urate_z'           & `est_4_treatqual_z'                                                            & `est_4_patsat_z'                                                              & `est_4_healthout_z'                                                          & `est_4_mortrate_05'         \\
{res}{txt}
{com}.         tex \multirow{c -(}1{c )-}{c -(}*{c )-}{c -(}SE. Treat + Treat * Museveni vote share above national median (2011){c )-}  & `se_4_commtg_z' & `se_4_h_ctzpressure_z' & `se_4_urate_z'           & `se_4_treatqual_z'                                                            & `se_4_patsat_z'                                                              & `se_4_healthout_z'                                                          & `se_4_mortrate_05'         \\
{res}{txt}
{com}.         tex \multirow{c -(}1{c )-}{c -(}*{c )-}{c -(}P-value Treat + Treat * Museveni vote share above national median (2011){c )-}  & `p_4_commtg_z' & `p_4_h_ctzpressure_z' & `p_4_urate_z'           & `p_4_treatqual_z'                                                            & `p_4_patsat_z'                                                              & `p_4_healthout_z'                                                          & `p_4_mortrate_05'         \\
{res}{txt}
{com}.         tex \bottomrule
{res}{txt}
{com}.         tex \end{c -(}tabular{c )-}
{res}{txt}
{com}.         tex \end{c -(}table{c )-}
{res}{txt}
{com}.         texdoc close
{txt}(texdoc output written to {browse `"/Users/fredericcochinard/Dropbox/ACT_Health_JOP_replication_file/3.Tables and Figures/Tables/TableI26.tex"':/Users/fredericcochinard/Dropbox/ACT_Health_JOP_replication_file/3.Tables and Figures/Tables/TableI26.tex})
{res}{txt}
{com}. 
.         ****************************************************************************
.         * Table I27: By Presidential vote share above or below the sample median *
.         ****************************************************************************
.         
.         local var treatfull
{txt}
{com}.         
.         * We load the dataset. This is the light version
.         
.         use "${c -(}usedata{c )-}/chp_el_light_dataset.dta", clear
{txt}
{com}.         
.         local indices urate_z treatqual_z patsat_z commtg_z
{txt}
{com}.         local indices_ho healthout_z
{txt}
{com}.         local indices_hc mortrate_05 h_ctzpressure_z
{txt}
{com}. 
.         * At endline:
.         
.         local y = 1
{txt}
{com}.         foreach x in `indices' {c -(}
{txt}  2{com}.                 areg  e_`x' `var' treatfull_votshare_samp b_above_sampmed_nrmpres b_`x' b_`x'_d `e_controls_tfull' ``var'_int_e_controls', robust cl(hc_id) a(district)
{txt}  3{com}.                 
.                 estimates store me`y'
{txt}  4{com}.                 
.                 local n_1e_`x' = string(`e(N)',"%9.0fc")
{txt}  5{com}.                 local r2_1e_`x' = string(`e(r2)',"%9.3fc")
{txt}  6{com}.                 local est_1e_`x' = string(_b[`var'],"%9.3fc")
{txt}  7{com}.                 local se_1e_`x' = string(_se[`var'],"%9.3fc")
{txt}  8{com}.                 local p_1e_`x' = (2 * ttail(e(df_r), abs(_b[`var']/_se[`var'])))
{txt}  9{com}.                 local p_`y'e = (2 * ttail(e(df_r), abs(_b[`var']/_se[`var'])))
{txt} 10{com}.                 
.                 gen s_1e_1s_`x' = (`p_1e_`x''<=0.1 & `p_1e_`x''>0.05)
{txt} 11{com}.                 gen s_1e_2s_`x' = (`p_1e_`x''<=0.05 & `p_1e_`x''>0.01)
{txt} 12{com}.                 gen s_1e_3s_`x' = (`p_1e_`x''<=0.01 & `p_1e_`x''>=0)
{txt} 13{com}.         
.                 if s_1e_1s_`x' == 1 {c -(}
{txt} 14{com}.                                 local est_1e_`x' = "`est_1e_`x''*"
{txt} 15{com}.                                 {c )-}
{txt} 16{com}.                                 
.                 if s_1e_2s_`x' == 1 {c -(}
{txt} 17{com}.                                 local est_1e_`x' = "`est_1e_`x''**"
{txt} 18{com}.                                 {c )-}
{txt} 19{com}.                                 
.                 if s_1e_3s_`x' == 1 {c -(}
{txt} 20{com}.                                 local est_1e_`x' = "`est_1e_`x''***"
{txt} 21{com}.                                 {c )-}
{txt} 22{com}.                 
.                 local est_2e_`x' = string(_b[_cons],"%9.3fc")
{txt} 23{com}.                 local se_2e_`x' = string(_se[_cons],"%9.3fc")
{txt} 24{com}.                 local p_2e_`x' = (2 * ttail(e(df_r), abs(_b[_cons]/_se[_cons])))
{txt} 25{com}.                 
.                 gen s_2e_1s_`x' = (`p_2e_`x''<=0.1 & `p_2e_`x''>0.05)
{txt} 26{com}.                 gen s_2e_2s_`x' = (`p_2e_`x''<=0.05 & `p_2e_`x''>0.01)
{txt} 27{com}.                 gen s_2e_3s_`x' = (`p_2e_`x''<=0.01 & `p_2e_`x''>=0)
{txt} 28{com}.         
.                 if s_2e_1s_`x' == 1 {c -(}
{txt} 29{com}.                                 local est_2e_`x' = "`est_2e_`x''*"
{txt} 30{com}.                                 {c )-}
{txt} 31{com}.                                 
.                 if s_2e_2s_`x' == 1 {c -(}
{txt} 32{com}.                                 local est_2e_`x' = "`est_2e_`x''**"
{txt} 33{com}.                                 {c )-}
{txt} 34{com}.                                 
.                 if s_2e_3s_`x' == 1 {c -(}
{txt} 35{com}.                                 local est_2e_`x' = "`est_2e_`x''***"
{txt} 36{com}.                                 {c )-}
{txt} 37{com}.                                 
.                 local est_3e_`x' = string(_b[treatfull_votshare_samp],"%9.3fc")
{txt} 38{com}.                 local se_3e_`x' = string(_se[treatfull_votshare_samp],"%9.3fc")
{txt} 39{com}.                 local p_3e_`x' = (2 * ttail(e(df_r), abs(_b[treatfull_votshare_samp]/_se[treatfull_votshare_samp])))
{txt} 40{com}.                 
.                 gen s_3e_1s_`x' = (`p_3e_`x''<=0.1 & `p_3e_`x''>0.05)
{txt} 41{com}.                 gen s_3e_2s_`x' = (`p_3e_`x''<=0.05 & `p_3e_`x''>0.01)
{txt} 42{com}.                 gen s_3e_3s_`x' = (`p_3e_`x''<=0.01 & `p_3e_`x''>=0)
{txt} 43{com}.         
.                 if s_3e_1s_`x' == 1 {c -(}
{txt} 44{com}.                                 local est_3e_`x' = "`est_3e_`x''*"
{txt} 45{com}.                                 {c )-}
{txt} 46{com}.                                 
.                 if s_3e_2s_`x' == 1 {c -(}
{txt} 47{com}.                                 local est_3e_`x' = "`est_3e_`x''**"
{txt} 48{com}.                                 {c )-}
{txt} 49{com}.                                 
.                 if s_3e_3s_`x' == 1 {c -(}
{txt} 50{com}.                                 local est_3e_`x' = "`est_3e_`x''***"
{txt} 51{com}.                                 {c )-}
{txt} 52{com}.                                 
.                 test treatfull = 0
{txt} 53{com}.                 local f_walde_`x' = string(`r(p)',"%9.3fc")
{txt} 54{com}.                 
.                 lincom treatfull + treatfull_votshare_samp
{txt} 55{com}.                 local est_4_`x' = string(`r(estimate)',"%9.3fc")
{txt} 56{com}.                 local se_4_`x' = string(`r(se)',"%9.3fc")
{txt} 57{com}.                 local se_4_`x' = "`se_4_`x''"
{txt} 58{com}.                 test treatfull + treatfull_votshare_samp = 0
{txt} 59{com}.                 local p_4_`x' = string(`r(p)',"%9.3fc")
{txt} 60{com}.                 
.                                         
.                 local y = `y' + 1
{txt} 61{com}.                 {c )-}
{txt}note: b_urate_z_d omitted because of collinearity
{txt}note: b_above_sampmed_nrmpres omitted because of collinearity
{res}
{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}     7,288
{txt}{col 49}F({res}   9{txt},{res}    186{txt}){col 67}= {res}     89.01
{txt}{col 49}Prob > F{col 67}= {res}    0.0000
{txt}{col 49}R-squared{col 67}= {res}    0.2299
{txt}{col 49}Adj R-squared{col 67}= {res}    0.2274
{txt}{col 49}Root MSE{col 67}= {res}    0.6613

{txt}{ralign 78:(Std. Err. adjusted for {res:187} clusters in hc_id)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}   e_urate_z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2} .0333656{col 26}{space 2}  .028364{col 37}{space 1}    1.18{col 46}{space 3}0.241{col 54}{space 4}-.0225909{col 67}{space 3} .0893221
{txt}treatfull_~p {c |}{col 14}{res}{space 2}-.0126565{col 26}{space 2} .0467396{col 37}{space 1}   -0.27{col 46}{space 3}0.787{col 54}{space 4}-.1048644{col 67}{space 3} .0795514
{txt}b_above_sa~s {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 3}b_urate_z {c |}{col 14}{res}{space 2} .3555085{col 26}{space 2}   .01451{col 37}{space 1}   24.50{col 46}{space 3}0.000{col 54}{space 4} .3268832{col 67}{space 3} .3841339
{txt}{space 1}b_urate_z_d {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
c_tfull_b_~d {c |}{col 14}{res}{space 2} .1625149{col 26}{space 2}  .056878{col 37}{space 1}    2.86{col 46}{space 3}0.005{col 54}{space 4} .0503059{col 67}{space 3} .2747239
{txt}c_tfull_ed~r {c |}{col 14}{res}{space 2}-.0126327{col 26}{space 2} .0028561{col 37}{space 1}   -4.42{col 46}{space 3}0.000{col 54}{space 4}-.0182672{col 67}{space 3}-.0069982
{txt}c_tfull_b_~x {c |}{col 14}{res}{space 2} -.041876{col 26}{space 2}  .013301{col 37}{space 1}   -3.15{col 46}{space 3}0.002{col 54}{space 4}-.0681162{col 67}{space 3}-.0156358
{txt}c_treatful.. {c |}{col 14}{res}{space 2}-.0324143{col 26}{space 2} .0796961{col 37}{space 1}   -0.41{col 46}{space 3}0.685{col 54}{space 4}-.1896388{col 67}{space 3} .1248103
{txt}c_treatful.. {c |}{col 14}{res}{space 2} .0024926{col 26}{space 2} .0041583{col 37}{space 1}    0.60{col 46}{space 3}0.550{col 54}{space 4}-.0057109{col 67}{space 3} .0106961
{txt}c_treatful.. {c |}{col 14}{res}{space 2}-.0075652{col 26}{space 2} .0195478{col 37}{space 1}   -0.39{col 46}{space 3}0.699{col 54}{space 4}-.0461291{col 67}{space 3} .0309987
{txt}{space 7}_cons {c |}{col 14}{res}{space 2}-.0198555{col 26}{space 2} .0156038{col 37}{space 1}   -1.27{col 46}{space 3}0.205{col 54}{space 4}-.0506387{col 67}{space 3} .0109277
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull = 0{p_end}

{txt}       F(  1,   186) ={res}    1.38
{txt}{col 13}Prob > F ={res}    0.2410

{p 0 7}{space 1}{text:( 1)}{space 1} treatfull + treatfull_votshare_samp = 0{p_end}

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}   e_urate_z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}(1) {c |}{col 14}{res}{space 2} .0207091{col 26}{space 2} .0357806{col 37}{space 1}    0.58{col 46}{space 3}0.563{col 54}{space 4}-.0498788{col 67}{space 3}  .091297
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull + treatfull_votshare_samp = 0{p_end}

{txt}       F(  1,   186) ={res}    0.33
{txt}{col 13}Prob > F ={res}    0.5634
{txt}note: b_treatqual_z_d omitted because of collinearity
{txt}note: b_above_sampmed_nrmpres omitted because of collinearity
{res}
{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}     7,288
{txt}{col 49}F({res}   9{txt},{res}    186{txt}){col 67}= {res}      5.86
{txt}{col 49}Prob > F{col 67}= {res}    0.0000
{txt}{col 49}R-squared{col 67}= {res}    0.0921
{txt}{col 49}Adj R-squared{col 67}= {res}    0.0891
{txt}{col 49}Root MSE{col 67}= {res}    0.3533

{txt}{ralign 78:(Std. Err. adjusted for {res:187} clusters in hc_id)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}e_treatq~l_z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2} .0811725{col 26}{space 2} .0379933{col 37}{space 1}    2.14{col 46}{space 3}0.034{col 54}{space 4} .0062194{col 67}{space 3} .1561256
{txt}treatfull_~p {c |}{col 14}{res}{space 2}-.0279639{col 26}{space 2} .0513061{col 37}{space 1}   -0.55{col 46}{space 3}0.586{col 54}{space 4}-.1291806{col 67}{space 3} .0732528
{txt}b_above_sa~s {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
b_treatq~l_z {c |}{col 14}{res}{space 2}  .109304{col 26}{space 2} .0204714{col 37}{space 1}    5.34{col 46}{space 3}0.000{col 54}{space 4}  .068918{col 67}{space 3}   .14969
{txt}b_trea~l_z_d {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
c_tfull_b_~d {c |}{col 14}{res}{space 2} .0118462{col 26}{space 2} .0238194{col 37}{space 1}    0.50{col 46}{space 3}0.620{col 54}{space 4}-.0351447{col 67}{space 3} .0588372
{txt}c_tfull_ed~r {c |}{col 14}{res}{space 2}-.0024116{col 26}{space 2}   .00167{col 37}{space 1}   -1.44{col 46}{space 3}0.150{col 54}{space 4}-.0057062{col 67}{space 3}  .000883
{txt}c_tfull_b_~x {c |}{col 14}{res}{space 2} -.000728{col 26}{space 2}  .008773{col 37}{space 1}   -0.08{col 46}{space 3}0.934{col 54}{space 4}-.0180353{col 67}{space 3} .0165794
{txt}c_treatful.. {c |}{col 14}{res}{space 2} .0438323{col 26}{space 2} .0327237{col 37}{space 1}    1.34{col 46}{space 3}0.182{col 54}{space 4} -.020725{col 67}{space 3} .1083895
{txt}c_treatful.. {c |}{col 14}{res}{space 2} .0022928{col 26}{space 2} .0022959{col 37}{space 1}    1.00{col 46}{space 3}0.319{col 54}{space 4}-.0022365{col 67}{space 3} .0068221
{txt}c_treatful.. {c |}{col 14}{res}{space 2}-.0175868{col 26}{space 2} .0124499{col 37}{space 1}   -1.41{col 46}{space 3}0.159{col 54}{space 4} -.042148{col 67}{space 3} .0069745
{txt}{space 7}_cons {c |}{col 14}{res}{space 2}  .001327{col 26}{space 2} .0204005{col 37}{space 1}    0.07{col 46}{space 3}0.948{col 54}{space 4} -.038919{col 67}{space 3} .0415731
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull = 0{p_end}

{txt}       F(  1,   186) ={res}    4.56
{txt}{col 13}Prob > F ={res}    0.0339

{p 0 7}{space 1}{text:( 1)}{space 1} treatfull + treatfull_votshare_samp = 0{p_end}

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}e_treatq~l_z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}(1) {c |}{col 14}{res}{space 2} .0532086{col 26}{space 2}  .035144{col 37}{space 1}    1.51{col 46}{space 3}0.132{col 54}{space 4}-.0161235{col 67}{space 3} .1225408
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull + treatfull_votshare_samp = 0{p_end}

{txt}       F(  1,   186) ={res}    2.29
{txt}{col 13}Prob > F ={res}    0.1317
{txt}note: b_patsat_z_d omitted because of collinearity
{txt}note: b_above_sampmed_nrmpres omitted because of collinearity
{res}
{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}     7,288
{txt}{col 49}F({res}   9{txt},{res}    186{txt}){col 67}= {res}     12.57
{txt}{col 49}Prob > F{col 67}= {res}    0.0000
{txt}{col 49}R-squared{col 67}= {res}    0.0391
{txt}{col 49}Adj R-squared{col 67}= {res}    0.0359
{txt}{col 49}Root MSE{col 67}= {res}    0.5871

{txt}{ralign 78:(Std. Err. adjusted for {res:187} clusters in hc_id)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}  e_patsat_z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2} .1235119{col 26}{space 2} .0333809{col 37}{space 1}    3.70{col 46}{space 3}0.000{col 54}{space 4}  .057658{col 67}{space 3} .1893658
{txt}treatfull_~p {c |}{col 14}{res}{space 2}-.1085778{col 26}{space 2} .0519033{col 37}{space 1}   -2.09{col 46}{space 3}0.038{col 54}{space 4}-.2109726{col 67}{space 3}-.0061829
{txt}b_above_sa~s {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 2}b_patsat_z {c |}{col 14}{res}{space 2} .1399668{col 26}{space 2} .0152048{col 37}{space 1}    9.21{col 46}{space 3}0.000{col 54}{space 4} .1099707{col 67}{space 3} .1699628
{txt}b_patsat_z_d {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
c_tfull_b_~d {c |}{col 14}{res}{space 2} .0036613{col 26}{space 2} .0433156{col 37}{space 1}    0.08{col 46}{space 3}0.933{col 54}{space 4}-.0817916{col 67}{space 3} .0891143
{txt}c_tfull_ed~r {c |}{col 14}{res}{space 2} .0024272{col 26}{space 2} .0026769{col 37}{space 1}    0.91{col 46}{space 3}0.366{col 54}{space 4}-.0028539{col 67}{space 3} .0077082
{txt}c_tfull_b_~x {c |}{col 14}{res}{space 2} .0009204{col 26}{space 2} .0107325{col 37}{space 1}    0.09{col 46}{space 3}0.932{col 54}{space 4}-.0202526{col 67}{space 3} .0220935
{txt}c_treatful.. {c |}{col 14}{res}{space 2} -.023899{col 26}{space 2} .0530065{col 37}{space 1}   -0.45{col 46}{space 3}0.653{col 54}{space 4}-.1284703{col 67}{space 3} .0806723
{txt}c_treatful.. {c |}{col 14}{res}{space 2} .0021497{col 26}{space 2} .0035833{col 37}{space 1}    0.60{col 46}{space 3}0.549{col 54}{space 4}-.0049195{col 67}{space 3} .0092189
{txt}c_treatful.. {c |}{col 14}{res}{space 2} .0010423{col 26}{space 2} .0151484{col 37}{space 1}    0.07{col 46}{space 3}0.945{col 54}{space 4}-.0288425{col 67}{space 3} .0309272
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} .0000862{col 26}{space 2} .0178998{col 37}{space 1}    0.00{col 46}{space 3}0.996{col 54}{space 4}-.0352264{col 67}{space 3} .0353989
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull = 0{p_end}

{txt}       F(  1,   186) ={res}   13.69
{txt}{col 13}Prob > F ={res}    0.0003

{p 0 7}{space 1}{text:( 1)}{space 1} treatfull + treatfull_votshare_samp = 0{p_end}

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}  e_patsat_z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}(1) {c |}{col 14}{res}{space 2} .0149341{col 26}{space 2} .0378388{col 37}{space 1}    0.39{col 46}{space 3}0.694{col 54}{space 4}-.0597143{col 67}{space 3} .0895826
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull + treatfull_votshare_samp = 0{p_end}

{txt}       F(  1,   186) ={res}    0.16
{txt}{col 13}Prob > F ={res}    0.6935
{txt}note: b_commtg_z_d omitted because of collinearity
{txt}note: b_above_sampmed_nrmpres omitted because of collinearity
{res}
{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}     7,288
{txt}{col 49}F({res}   9{txt},{res}    186{txt}){col 67}= {res}      9.06
{txt}{col 49}Prob > F{col 67}= {res}    0.0000
{txt}{col 49}R-squared{col 67}= {res}    0.0908
{txt}{col 49}Adj R-squared{col 67}= {res}    0.0878
{txt}{col 49}Root MSE{col 67}= {res}    0.5605

{txt}{ralign 78:(Std. Err. adjusted for {res:187} clusters in hc_id)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}  e_commtg_z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2}-.0109218{col 26}{space 2}  .039936{col 37}{space 1}   -0.27{col 46}{space 3}0.785{col 54}{space 4}-.0897075{col 67}{space 3}  .067864
{txt}treatfull_~p {c |}{col 14}{res}{space 2} .0404209{col 26}{space 2} .0566564{col 37}{space 1}    0.71{col 46}{space 3}0.476{col 54}{space 4}-.0713508{col 67}{space 3} .1521926
{txt}b_above_sa~s {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 2}b_commtg_z {c |}{col 14}{res}{space 2} .0819521{col 26}{space 2} .0133676{col 37}{space 1}    6.13{col 46}{space 3}0.000{col 54}{space 4} .0555805{col 67}{space 3} .1083237
{txt}b_commtg_z_d {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
c_tfull_b_~d {c |}{col 14}{res}{space 2} .0404838{col 26}{space 2} .0479459{col 37}{space 1}    0.84{col 46}{space 3}0.400{col 54}{space 4}-.0541039{col 67}{space 3} .1350715
{txt}c_tfull_ed~r {c |}{col 14}{res}{space 2} .0034376{col 26}{space 2} .0024516{col 37}{space 1}    1.40{col 46}{space 3}0.163{col 54}{space 4} -.001399{col 67}{space 3} .0082742
{txt}c_tfull_b_~x {c |}{col 14}{res}{space 2} .0289291{col 26}{space 2} .0113649{col 37}{space 1}    2.55{col 46}{space 3}0.012{col 54}{space 4} .0065083{col 67}{space 3} .0513498
{txt}c_treatful.. {c |}{col 14}{res}{space 2} .1087518{col 26}{space 2} .0651812{col 37}{space 1}    1.67{col 46}{space 3}0.097{col 54}{space 4}-.0198378{col 67}{space 3} .2373413
{txt}c_treatful.. {c |}{col 14}{res}{space 2} .0010321{col 26}{space 2} .0035364{col 37}{space 1}    0.29{col 46}{space 3}0.771{col 54}{space 4}-.0059446{col 67}{space 3} .0080088
{txt}c_treatful.. {c |}{col 14}{res}{space 2}-.0113976{col 26}{space 2}   .01849{col 37}{space 1}   -0.62{col 46}{space 3}0.538{col 54}{space 4}-.0478747{col 67}{space 3} .0250796
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} .0019359{col 26}{space 2} .0189701{col 37}{space 1}    0.10{col 46}{space 3}0.919{col 54}{space 4}-.0354884{col 67}{space 3} .0393601
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull = 0{p_end}

{txt}       F(  1,   186) ={res}    0.07
{txt}{col 13}Prob > F ={res}    0.7848

{p 0 7}{space 1}{text:( 1)}{space 1} treatfull + treatfull_votshare_samp = 0{p_end}

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}  e_commtg_z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}(1) {c |}{col 14}{res}{space 2} .0294991{col 26}{space 2} .0401169{col 37}{space 1}    0.74{col 46}{space 3}0.463{col 54}{space 4}-.0496436{col 67}{space 3} .1086418
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull + treatfull_votshare_samp = 0{p_end}

{txt}       F(  1,   186) ={res}    0.54
{txt}{col 13}Prob > F ={res}    0.4631
{txt}
{com}.                 
.         ********************
.         * Individual level *
.         ********************
.         
.         * Health outcome
. 
.         * At endline
.         
.         use "${c -(}usedata{c )-}/healthoutcome_endline_ind.dta", clear
{txt}
{com}.         
.         ***************
.         * Regressions *
.         ***************
. 
.         local var treatfull
{txt}
{com}.         
.         areg  e_healthoutcome_z treatfull treatfull_votshare_samp b_healthoutcome_z b_healthoutcome_z_d `e_controls_tfull' ``var'_int_e_controls', robust cl(hc_id) a(district) 

{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}     4,930
{txt}{col 49}F({res}  10{txt},{res}    186{txt}){col 67}= {res}     70.36
{txt}{col 49}Prob > F{col 67}= {res}    0.0000
{txt}{col 49}R-squared{col 67}= {res}    0.1112
{txt}{col 49}Adj R-squared{col 67}= {res}    0.1066
{txt}{col 49}Root MSE{col 67}= {res}    0.8984

{txt}{ralign 78:(Std. Err. adjusted for {res:187} clusters in hc_id)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}e_healthou~z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2}-.0117782{col 26}{space 2} .0401304{col 37}{space 1}   -0.29{col 46}{space 3}0.769{col 54}{space 4}-.0909475{col 67}{space 3} .0673911
{txt}treatfull_~p {c |}{col 14}{res}{space 2} .0178149{col 26}{space 2} .0563263{col 37}{space 1}    0.32{col 46}{space 3}0.752{col 54}{space 4}-.0933056{col 67}{space 3} .1289354
{txt}b_healthou~z {c |}{col 14}{res}{space 2} .1298912{col 26}{space 2} .0154114{col 37}{space 1}    8.43{col 46}{space 3}0.000{col 54}{space 4} .0994876{col 67}{space 3} .1602949
{txt}b_healthou~d {c |}{col 14}{res}{space 2} .6766565{col 26}{space 2} .0267969{col 37}{space 1}   25.25{col 46}{space 3}0.000{col 54}{space 4} .6237916{col 67}{space 3} .7295213
{txt}c_tfull_b_~d {c |}{col 14}{res}{space 2} .0689556{col 26}{space 2} .0877959{col 37}{space 1}    0.79{col 46}{space 3}0.433{col 54}{space 4}-.1042481{col 67}{space 3} .2421593
{txt}c_tfull_ed~r {c |}{col 14}{res}{space 2} .0096336{col 26}{space 2} .0054307{col 37}{space 1}    1.77{col 46}{space 3}0.078{col 54}{space 4}-.0010801{col 67}{space 3} .0203473
{txt}c_tfull_b_~x {c |}{col 14}{res}{space 2} .0696182{col 26}{space 2} .0254259{col 37}{space 1}    2.74{col 46}{space 3}0.007{col 54}{space 4}  .019458{col 67}{space 3} .1197784
{txt}c_treatful.. {c |}{col 14}{res}{space 2} -.095158{col 26}{space 2} .1074183{col 37}{space 1}   -0.89{col 46}{space 3}0.377{col 54}{space 4}-.3070727{col 67}{space 3} .1167568
{txt}c_treatful.. {c |}{col 14}{res}{space 2} .0001067{col 26}{space 2} .0066925{col 37}{space 1}    0.02{col 46}{space 3}0.987{col 54}{space 4}-.0130963{col 67}{space 3} .0133097
{txt}c_treatful.. {c |}{col 14}{res}{space 2}-.0505527{col 26}{space 2} .0306646{col 37}{space 1}   -1.65{col 46}{space 3}0.101{col 54}{space 4}-.1110479{col 67}{space 3} .0099424
{txt}{space 7}_cons {c |}{col 14}{res}{space 2}-.5108504{col 26}{space 2} .0221849{col 37}{space 1}  -23.03{col 46}{space 3}0.000{col 54}{space 4}-.5546167{col 67}{space 3}-.4670841
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{com}.         
.                 estimates store me6
{txt}
{com}.                 
.                 local n_1e_healthout_z = string(`e(N)',"%9.0fc")
{txt}
{com}.                 local r2_1e_healthout_z = string(`e(r2)',"%9.3fc")
{txt}
{com}.                 local est_1e_healthout_z = string(_b[`var'],"%9.3fc")
{txt}
{com}.                 local se_1e_healthout_z = string(_se[`var'],"%9.3fc")
{txt}
{com}.                 local p_1e_healthout_z = (2 * ttail(e(df_r), abs(_b[`var']/_se[`var'])))
{txt}
{com}.                 local p_6e = (2 * ttail(e(df_r), abs(_b[`var']/_se[`var'])))
{txt}
{com}.                 
.                 gen s_1e_1s_healthout_z = (`p_1e_healthout_z'<=0.1 & `p_1e_healthout_z'>0.05)
{txt}
{com}.                 gen s_1e_2s_healthout_z = (`p_1e_healthout_z'<=0.05 & `p_1e_healthout_z'>0.01)
{txt}
{com}.                 gen s_1e_3s_healthout_z = (`p_1e_healthout_z'<=0.01 & `p_1e_healthout_z'>=0)
{txt}
{com}.         
.                 if s_1e_1s_healthout_z == 1 {c -(}
.                                 local est_1e_healthout_z = "`est_1e_healthout_z'*"
.                                 {c )-}
{txt}
{com}.                                 
.                 if s_1e_2s_healthout_z == 1 {c -(}
.                                 local est_1e_healthout_z = "`est_1e_healthout_z'**"
.                                 {c )-}
{txt}
{com}.                                 
.                 if s_1e_3s_healthout_z == 1 {c -(}
.                                 local est_1e_healthout_z = "`est_1e_healthout_z'***"
.                                 {c )-}
{txt}
{com}.                 
.                 local est_2e_healthout_z = string(_b[_cons],"%9.3fc")
{txt}
{com}.                 local se_2e_healthout_z = string(_se[_cons],"%9.3fc")
{txt}
{com}.                 local p_2e_healthout_z = (2 * ttail(e(df_r), abs(_b[_cons]/_se[_cons])))
{txt}
{com}.                 
.                 gen s_2e_1s_healthout_z = (`p_2e_healthout_z'<=0.1 & `p_2e_healthout_z'>0.05)
{txt}
{com}.                 gen s_2e_2s_healthout_z = (`p_2e_healthout_z'<=0.05 & `p_2e_healthout_z'>0.01)
{txt}
{com}.                 gen s_2e_3s_healthout_z = (`p_2e_healthout_z'<=0.01 & `p_2e_healthout_z'>=0)
{txt}
{com}.         
.                 if s_2e_1s_healthout_z == 1 {c -(}
.                                 local est_2e_healthout_z = "`est_2e_healthout_z'*"
.                                 {c )-}
{txt}
{com}.                                 
.                 if s_2e_2s_healthout_z == 1 {c -(}
.                                 local est_2e_healthout_z = "`est_2e_healthout_z'**"
.                                 {c )-}
{txt}
{com}.                                 
.                 if s_2e_3s_healthout_z == 1 {c -(}
.                                 local est_2e_healthout_z = "`est_2e_healthout_z'***"
.                                 {c )-}
{txt}
{com}.                                 
.                 local est_3e_healthout_z = string(_b[treatfull_votshare_samp],"%9.3fc")
{txt}
{com}.                 local se_3e_healthout_z = string(_se[treatfull_votshare_samp],"%9.3fc")
{txt}
{com}.                 local p_3e_healthout_z = (2 * ttail(e(df_r), abs(_b[treatfull_votshare_samp]/_se[treatfull_votshare_samp])))
{txt}
{com}.                 
.                 gen s_3e_1s_healthout_z = (`p_3e_healthout_z'<=0.1 & `p_3e_healthout_z'>0.05)
{txt}
{com}.                 gen s_3e_2s_healthout_z = (`p_3e_healthout_z'<=0.05 & `p_3e_healthout_z'>0.01)
{txt}
{com}.                 gen s_3e_3s_healthout_z = (`p_3e_healthout_z'<=0.01 & `p_3e_healthout_z'>=0)
{txt}
{com}.         
.                 if s_3e_1s_healthout_z == 1 {c -(}
.                                 local est_3e_`x' = "`est_3e_healthout_z'*"
.                                 {c )-}
{txt}
{com}.                                 
.                 if s_3e_2s_healthout_z == 1 {c -(}
.                                 local est_3e_`x' = "`est_3e_healthout_z'**"
.                                 {c )-}
{txt}
{com}.                                 
.                 if s_3e_3s_healthout_z == 1 {c -(}
.                                 local est_3e_`x' = "`est_3e_healthout_z'***"
.                                 {c )-}
{txt}
{com}.                                 
.                                 
.                 test treatfull = 0

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull = 0{p_end}

{txt}       F(  1,   186) ={res}    0.09
{txt}{col 13}Prob > F ={res}    0.7695
{txt}
{com}.                 local f_walde_healthout_z = string(`r(p)',"%9.3fc")
{txt}
{com}.                 
.                 lincom treatfull + treatfull_votshare_samp

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull + treatfull_votshare_samp = 0{p_end}

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}e_healthou~z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}(1) {c |}{col 14}{res}{space 2} .0060367{col 26}{space 2} .0377518{col 37}{space 1}    0.16{col 46}{space 3}0.873{col 54}{space 4}-.0684401{col 67}{space 3} .0805135
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}.                 local est_4_healthout_z = string(`r(estimate)',"%9.3fc")
{txt}
{com}.                 local se_4_healthout_z = string(`r(se)',"%9.3fc")
{txt}
{com}.                 local se_4_healthout_z = "`se_4_healthout_z'"
{txt}
{com}.                 test treatfull + treatfull_votshare_samp = 0

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull + treatfull_votshare_samp = 0{p_end}

{txt}       F(  1,   186) ={res}    0.03
{txt}{col 13}Prob > F ={res}    0.8731
{txt}
{com}.                 local p_4_healthout_z = string(`r(p)',"%9.3fc")
{txt}
{com}.                 
.                 
.         use "${c -(}usedata{c )-}/chp_el_light_dataset.dta", clear
{txt}
{com}.         
.         local indices_hc mortrate_05 h_ctzpressure_z
{txt}
{com}.         
.         * Mortrate HC level (endline)
.         
.         local y = 7
{txt}
{com}.         foreach x in `indices_hc' {c -(}
{txt}  2{com}.                 areg  e_`x' `var' treatfull_votshare_samp b_above_sampmed_nrmpres b_`x' `e_controls_tfull_hc' ``var'_hc_int_e_controls' if uniquehc == 1, robust a(district)
{txt}  3{com}.                 
.                 estimates store me`y'
{txt}  4{com}.                 
.                 local n_1e_`x' = string(`e(N)',"%9.0fc")
{txt}  5{com}.                 local r2_1e_`x' = string(`e(r2)',"%9.3fc")
{txt}  6{com}.                 local est_1e_`x' = string(_b[`var'],"%9.3fc")
{txt}  7{com}.                 local se_1e_`x' = string(_se[`var'],"%9.3fc")
{txt}  8{com}.                 local p_1e_`x' = (2 * ttail(e(df_r), abs(_b[`var']/_se[`var'])))
{txt}  9{com}.                 local p_`y'e = (2 * ttail(e(df_r), abs(_b[`var']/_se[`var'])))
{txt} 10{com}.                 
.                 gen s_1e_1s_`x' = (`p_1e_`x''<=0.1 & `p_1e_`x''>0.05)
{txt} 11{com}.                 gen s_1e_2s_`x' = (`p_1e_`x''<=0.05 & `p_1e_`x''>0.01)
{txt} 12{com}.                 gen s_1e_3s_`x' = (`p_1e_`x''<=0.01 & `p_1e_`x''>=0)
{txt} 13{com}.         
.                 if s_1e_1s_`x' == 1 {c -(}
{txt} 14{com}.                                 local est_1e_`x' = "`est_1e_`x''*"
{txt} 15{com}.                                 {c )-}
{txt} 16{com}.                                 
.                 if s_1e_2s_`x' == 1 {c -(}
{txt} 17{com}.                                 local est_1e_`x' = "`est_1e_`x''**"
{txt} 18{com}.                                 {c )-}
{txt} 19{com}.                                 
.                 if s_1e_3s_`x' == 1 {c -(}
{txt} 20{com}.                                 local est_1e_`x' = "`est_1e_`x''***"
{txt} 21{com}.                                 {c )-}
{txt} 22{com}.                 
.                 local est_2e_`x' = string(_b[_cons],"%9.3fc")
{txt} 23{com}.                 local se_2e_`x' = string(_se[_cons],"%9.3fc")
{txt} 24{com}.                 local p_2e_`x' = (2 * ttail(e(df_r), abs(_b[_cons]/_se[_cons])))
{txt} 25{com}.                 
.                 gen s_2e_1s_`x' = (`p_2e_`x''<=0.1 & `p_2e_`x''>0.05)
{txt} 26{com}.                 gen s_2e_2s_`x' = (`p_2e_`x''<=0.05 & `p_2e_`x''>0.01)
{txt} 27{com}.                 gen s_2e_3s_`x' = (`p_2e_`x''<=0.01 & `p_2e_`x''>=0)
{txt} 28{com}.         
.                 if s_2e_1s_`x' == 1 {c -(}
{txt} 29{com}.                                 local est_2e_`x' = "`est_2e_`x''*"
{txt} 30{com}.                                 {c )-}
{txt} 31{com}.                                 
.                 if s_2e_2s_`x' == 1 {c -(}
{txt} 32{com}.                                 local est_2e_`x' = "`est_2e_`x''**"
{txt} 33{com}.                                 {c )-}
{txt} 34{com}.                                 
.                 if s_2e_3s_`x' == 1 {c -(}
{txt} 35{com}.                                 local est_2e_`x' = "`est_2e_`x''***"
{txt} 36{com}.                                 {c )-}
{txt} 37{com}.                                 
.                 local est_3e_`x' = string(_b[treatfull_votshare_samp],"%9.3fc")
{txt} 38{com}.                 local se_3e_`x' = string(_se[treatfull_votshare_samp],"%9.3fc")
{txt} 39{com}.                 local p_3e_`x' = (2 * ttail(e(df_r), abs(_b[treatfull_votshare_samp]/_se[treatfull_votshare_samp])))
{txt} 40{com}.                 
.                 gen s_3e_1s_`x' = (`p_3e_`x''<=0.1 & `p_3e_`x''>0.05)
{txt} 41{com}.                 gen s_3e_2s_`x' = (`p_3e_`x''<=0.05 & `p_3e_`x''>0.01)
{txt} 42{com}.                 gen s_3e_3s_`x' = (`p_3e_`x''<=0.01 & `p_3e_`x''>=0)
{txt} 43{com}.         
.                 if s_3e_1s_`x' == 1 {c -(}
{txt} 44{com}.                                 local est_3e_`x' = "`est_3e_`x''*"
{txt} 45{com}.                                 {c )-}
{txt} 46{com}.                                 
.                 if s_3e_2s_`x' == 1 {c -(}
{txt} 47{com}.                                 local est_3e_`x' = "`est_3e_`x''**"
{txt} 48{com}.                                 {c )-}
{txt} 49{com}.                                 
.                 if s_3e_3s_`x' == 1 {c -(}
{txt} 50{com}.                                 local est_3e_`x' = "`est_3e_`x''***"
{txt} 51{com}.                                 {c )-}
{txt} 52{com}.                                 
.                 test treatfull = 0
{txt} 53{com}.                 local f_walde_`x' = string(`r(p)',"%9.3fc")
{txt} 54{com}.                 
.                 lincom treatfull + treatfull_votshare_samp
{txt} 55{com}.                 local est_4_`x' = string(`r(estimate)',"%9.3fc")
{txt} 56{com}.                 local se_4_`x' = string(`r(se)',"%9.3fc")
{txt} 57{com}.                 local se_4_`x' = "`se_4_`x''"
{txt} 58{com}.                 test treatfull + treatfull_votshare_samp = 0
{txt} 59{com}.                 local p_4_`x' = string(`r(p)',"%9.3fc")
{txt} 60{com}.                 
.                                 
.                 {c )-}
{p 0 6 2}{txt}note: b_above_sampmed_nrmpres omitted because of collinearity{p_end}
{res}
{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}       187
{txt}{col 49}F({res}  15{txt},{res}    156{txt}){col 67}= {res}      1.37
{txt}{col 49}Prob > F{col 67}= {res}    0.1678
{txt}{col 49}R-squared{col 67}= {res}    0.2001
{txt}{col 49}Adj R-squared{col 67}= {res}    0.0462
{txt}{col 49}Root MSE{col 67}= {res}    0.0535

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}e_mortrat~05{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2}-.0173085{col 26}{space 2} .0123957{col 37}{space 1}   -1.40{col 46}{space 3}0.165{col 54}{space 4}-.0417936{col 67}{space 3} .0071765
{txt}treatfull_~p {c |}{col 14}{res}{space 2} .0151107{col 26}{space 2} .0210906{col 37}{space 1}    0.72{col 46}{space 3}0.475{col 54}{space 4}-.0265493{col 67}{space 3} .0567706
{txt}b_above_sa~s {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
b_mortrat~05 {c |}{col 14}{res}{space 2} .0907419{col 26}{space 2} .0669216{col 37}{space 1}    1.36{col 46}{space 3}0.177{col 54}{space 4}-.0414475{col 67}{space 3} .2229313
{txt}c_tf~_hc_hc2 {c |}{col 14}{res}{space 2}  .007762{col 26}{space 2} .0169345{col 37}{space 1}    0.46{col 46}{space 3}0.647{col 54}{space 4}-.0256885{col 67}{space 3} .0412126
{txt}c_tfull_hc~l {c |}{col 14}{res}{space 2} .0014982{col 26}{space 2} .0213232{col 37}{space 1}    0.07{col 46}{space 3}0.944{col 54}{space 4}-.0406212{col 67}{space 3} .0436176
{txt}c_tfull_hc~s {c |}{col 14}{res}{space 2} .0085673{col 26}{space 2} .0226772{col 37}{space 1}    0.38{col 46}{space 3}0.706{col 54}{space 4}-.0362266{col 67}{space 3} .0533612
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2} .0366265{col 26}{space 2} .0577977{col 37}{space 1}    0.63{col 46}{space 3}0.527{col 54}{space 4}-.0775405{col 67}{space 3} .1507935
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2}-.0066749{col 26}{space 2} .0071659{col 37}{space 1}   -0.93{col 46}{space 3}0.353{col 54}{space 4}-.0208295{col 67}{space 3} .0074797
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2} .0202362{col 26}{space 2} .0233012{col 37}{space 1}    0.87{col 46}{space 3}0.386{col 54}{space 4}-.0257904{col 67}{space 3} .0662629
{txt}c_treatful.. {c |}{col 14}{res}{space 2}-.0043324{col 26}{space 2} .0195118{col 37}{space 1}   -0.22{col 46}{space 3}0.825{col 54}{space 4}-.0428739{col 67}{space 3} .0342091
{txt}c_treatful.. {c |}{col 14}{res}{space 2}-.0020601{col 26}{space 2} .0234984{col 37}{space 1}   -0.09{col 46}{space 3}0.930{col 54}{space 4}-.0484763{col 67}{space 3} .0443561
{txt}c_treatful.. {c |}{col 14}{res}{space 2}-.0334637{col 26}{space 2} .0276956{col 37}{space 1}   -1.21{col 46}{space 3}0.229{col 54}{space 4}-.0881705{col 67}{space 3} .0212432
{txt}c_treatful.. {c |}{col 14}{res}{space 2}-.1828186{col 26}{space 2} .0914905{col 37}{space 1}   -2.00{col 46}{space 3}0.047{col 54}{space 4}-.3635386{col 67}{space 3}-.0020986
{txt}c_treatful.. {c |}{col 14}{res}{space 2}-.0011259{col 26}{space 2} .0089251{col 37}{space 1}   -0.13{col 46}{space 3}0.900{col 54}{space 4}-.0187554{col 67}{space 3} .0165037
{txt}c_treatful.. {c |}{col 14}{res}{space 2}-.0279276{col 26}{space 2} .0327238{col 37}{space 1}   -0.85{col 46}{space 3}0.395{col 54}{space 4}-.0925665{col 67}{space 3} .0367114
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} .0600451{col 26}{space 2} .0064864{col 37}{space 1}    9.26{col 46}{space 3}0.000{col 54}{space 4} .0472325{col 67}{space 3} .0728577
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull = 0{p_end}

{txt}       F(  1,   156) ={res}    1.95
{txt}{col 13}Prob > F ={res}    0.1646

{p 0 7}{space 1}{text:( 1)}{space 1} treatfull + treatfull_votshare_samp = 0{p_end}

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}e_mortrat~05{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}(1) {c |}{col 14}{res}{space 2}-.0021979{col 26}{space 2} .0140517{col 37}{space 1}   -0.16{col 46}{space 3}0.876{col 54}{space 4} -.029954{col 67}{space 3} .0255582
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull + treatfull_votshare_samp = 0{p_end}

{txt}       F(  1,   156) ={res}    0.02
{txt}{col 13}Prob > F ={res}    0.8759
{p 0 6 2}{txt}note: b_above_sampmed_nrmpres omitted because of collinearity{p_end}
{res}
{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}       187
{txt}{col 49}F({res}  15{txt},{res}    156{txt}){col 67}= {res}      1.26
{txt}{col 49}Prob > F{col 67}= {res}    0.2356
{txt}{col 49}R-squared{col 67}= {res}    0.1561
{txt}{col 49}Adj R-squared{col 67}= {res}   -0.0062
{txt}{col 49}Root MSE{col 67}= {res}    0.6909

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}e_h_ctzpre~z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2}-.2366019{col 26}{space 2} .1815079{col 37}{space 1}   -1.30{col 46}{space 3}0.194{col 54}{space 4}-.5951322{col 67}{space 3} .1219283
{txt}treatfull_~p {c |}{col 14}{res}{space 2} .2192386{col 26}{space 2} .2727329{col 37}{space 1}    0.80{col 46}{space 3}0.423{col 54}{space 4}-.3194872{col 67}{space 3} .7579644
{txt}b_above_sa~s {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
b_h_ctzpre~z {c |}{col 14}{res}{space 2} .0094664{col 26}{space 2} .0688161{col 37}{space 1}    0.14{col 46}{space 3}0.891{col 54}{space 4}-.1264651{col 67}{space 3} .1453979
{txt}c_tf~_hc_hc2 {c |}{col 14}{res}{space 2}-.0925683{col 26}{space 2} .1532932{col 37}{space 1}   -0.60{col 46}{space 3}0.547{col 54}{space 4}-.3953663{col 67}{space 3} .2102298
{txt}c_tfull_hc~l {c |}{col 14}{res}{space 2} .0609391{col 26}{space 2} .1975457{col 37}{space 1}    0.31{col 46}{space 3}0.758{col 54}{space 4}-.3292704{col 67}{space 3} .4511485
{txt}c_tfull_hc~s {c |}{col 14}{res}{space 2} .5905171{col 26}{space 2} .2614415{col 37}{space 1}    2.26{col 46}{space 3}0.025{col 54}{space 4}  .074095{col 67}{space 3} 1.106939
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2}-.5325682{col 26}{space 2} .5868085{col 37}{space 1}   -0.91{col 46}{space 3}0.366{col 54}{space 4}-1.691684{col 67}{space 3} .6265474
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2}-.0515594{col 26}{space 2} .0838885{col 37}{space 1}   -0.61{col 46}{space 3}0.540{col 54}{space 4}-.2172634{col 67}{space 3} .1141446
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2} -.097464{col 26}{space 2} .2449947{col 37}{space 1}   -0.40{col 46}{space 3}0.691{col 54}{space 4} -.581399{col 67}{space 3}  .386471
{txt}c_treatful.. {c |}{col 14}{res}{space 2} .0627268{col 26}{space 2} .2437944{col 37}{space 1}    0.26{col 46}{space 3}0.797{col 54}{space 4}-.4188373{col 67}{space 3} .5442909
{txt}c_treatful.. {c |}{col 14}{res}{space 2}-.1805606{col 26}{space 2} .2519435{col 37}{space 1}   -0.72{col 46}{space 3}0.475{col 54}{space 4}-.6782214{col 67}{space 3} .3171003
{txt}c_treatful.. {c |}{col 14}{res}{space 2}-.5525519{col 26}{space 2}  .286515{col 37}{space 1}   -1.93{col 46}{space 3}0.056{col 54}{space 4}-1.118501{col 67}{space 3} .0133976
{txt}c_treatful.. {c |}{col 14}{res}{space 2} .7968784{col 26}{space 2} 1.036429{col 37}{space 1}    0.77{col 46}{space 3}0.443{col 54}{space 4}-1.250367{col 67}{space 3} 2.844124
{txt}c_treatful.. {c |}{col 14}{res}{space 2} .1731831{col 26}{space 2} .1218004{col 37}{space 1}    1.42{col 46}{space 3}0.157{col 54}{space 4}-.0674078{col 67}{space 3}  .413774
{txt}c_treatful.. {c |}{col 14}{res}{space 2}-.2041425{col 26}{space 2} .3435181{col 37}{space 1}   -0.59{col 46}{space 3}0.553{col 54}{space 4}-.8826896{col 67}{space 3} .4744045
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} .0122508{col 26}{space 2} .0637884{col 37}{space 1}    0.19{col 46}{space 3}0.848{col 54}{space 4}-.1137497{col 67}{space 3} .1382513
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull = 0{p_end}

{txt}       F(  1,   156) ={res}    1.70
{txt}{col 13}Prob > F ={res}    0.1943

{p 0 7}{space 1}{text:( 1)}{space 1} treatfull + treatfull_votshare_samp = 0{p_end}

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}e_h_ctzpre~z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}(1) {c |}{col 14}{res}{space 2}-.0173634{col 26}{space 2} .1525505{col 37}{space 1}   -0.11{col 46}{space 3}0.910{col 54}{space 4}-.3186944{col 67}{space 3} .2839677
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull + treatfull_votshare_samp = 0{p_end}

{txt}       F(  1,   156) ={res}    0.01
{txt}{col 13}Prob > F ={res}    0.9095
{txt}
{com}.         
.         * We create the tables concerning the results of the main indices
.         
.         texdoc init "${c -(}tables{c )-}/TableI27.tex", replace force
{res}{txt}(texdoc output file is /Users/fredericcochinard/Dropbox/ACT_Health_JOP_replication_file/3.Tables and Figures/Tables/TableI27.tex)
{res}{txt}
{com}.         tex \begin{c -(}table{c )-}[htbp]\centering
{res}{txt}
{com}.         tex \footnotesize
{res}{txt}
{com}.         tex \def\sym#1{c -(}\ifmmode^{c -(}#1{c )-}\else\(^{c -(}#1{c )-}\)\fi{c )-}
{res}{txt}
{com}.         tex \caption{c -(}Main outcomes - Full treatment{c )-}
{res}{txt}
{com}.         tex \begin{c -(}tabular{c )-}{c -(}lgggggggg{c )-}
{res}{txt}
{com}.         tex \toprule
{res}{txt}
{com}.         tex                                                                                       & (1)                       & (2)                                                          & (3)                                                             & (4)                                                        & (5)  & (6) & (7)                       \\
{res}{txt}
{com}.     tex \multirow{c -(}-2{c )-}{c -(}*{c )-}{c -(}{c )-}                              & \textbf{c -(}\begin{c -(}tabular{c )-}[c]{c -(}@{c -(}{c )-}c@{c -(}{c )-}{c )-}Citizen \\ monitoring\end{c -(}tabular{c )-}{c )-} & \textbf{c -(}\begin{c -(}tabular{c )-}[c]{c -(}@{c -(}{c )-}c@{c -(}{c )-}{c )-}Perceived citizen \\ pressure\end{c -(}tabular{c )-}{c )-}  & \textbf{c -(}Utilization{c )-}      & \textbf{c -(}\begin{c -(}tabular{c )-}[c]{c -(}@{c -(}{c )-}c@{c -(}{c )-}{c )-}Treatment \\ quality\end{c -(}tabular{c )-}{c )-} & \textbf{c -(}\begin{c -(}tabular{c )-}[c]{c -(}@{c -(}{c )-}c@{c -(}{c )-}{c )-}Patient \\ satisfaction\end{c -(}tabular{c )-}{c )-} & \textbf{c -(}\begin{c -(}tabular{c )-}[c]{c -(}@{c -(}{c )-}c@{c -(}{c )-}{c )-}Health \\ outcomes\end{c -(}tabular{c )-}{c )-} & \textbf{c -(}\begin{c -(}tabular{c )-}[c]{c -(}@{c -(}{c )-}c@{c -(}{c )-}{c )-}Child \\ mortality\end{c -(}tabular{c )-}{c )-}        \\
{res}{txt}
{com}.         tex \midrule
{res}{txt}
{com}.         tex \multirow{c -(}2{c )-}{c -(}*{c )-}{c -(}Treat{c )-}  & `est_1e_commtg_z' & `est_1e_h_ctzpressure_z' & `est_1e_urate_z'           & `est_1e_treatqual_z'                                                            & `est_1e_patsat_z'                                                              & `est_1e_healthout_z'                                                          & `est_1e_mortrate_05'         \\
{res}{txt}
{com}.         tex  & (`se_1e_commtg_z') & (`se_1e_h_ctzpressure_z') & (`se_1e_urate_z')           & (`se_1e_treatqual_z')                                                            & (`se_1e_patsat_z')                                                              & (`se_1e_healthout_z')                                                         & (`se_1e_mortrate_05')         \\
{res}{txt}
{com}.         tex \multirow{c -(}2{c )-}{c -(}*{c )-}{c -(}Treat * Museveni vote share above sample median (2011){c )-}  & `est_3e_commtg_z' & `est_3e_h_ctzpressure_z' & `est_3e_urate_z'           & `est_3e_treatqual_z'                                                            & `est_3e_patsat_z'                                                              & `est_3e_healthout_z'                                                          & `est_3e_mortrate_05'         \\
{res}{txt}
{com}.         tex  & (`se_3e_commtg_z') & (`se_3e_h_ctzpressure_z') & (`se_3e_urate_z')           & (`se_3e_treatqual_z')                                                            & (`se_3e_patsat_z')                                                              & (`se_3e_healthout_z')                                                         & (`se_3e_mortrate_05')         \\     
{res}{txt}
{com}.         tex \multirow{c -(}2{c )-}{c -(}*{c )-}{c -(}Constant{c )-}  & `est_2e_commtg_z' & `est_2e_h_ctzpressure_z' & `est_2e_urate_z'           & `est_2e_treatqual_z'                                                            & `est_2e_patsat_z'                                                              & `est_2e_healthout_z'                                                          & `est_2e_mortrate_05'         \\
{res}{txt}
{com}.         tex  & (`se_2e_commtg_z') & (`se_2e_h_ctzpressure_z') & (`se_2e_urate_z')           & (`se_2e_treatqual_z')                                                            & (`se_2e_patsat_z')                                                               & (`se_2e_healthout_z')                                                          & `se_2e_mortrate_05'         \\
{res}{txt}
{com}.         tex \midrule
{res}{txt}
{com}.         tex \multirow{c -(}1{c )-}{c -(}*{c )-}{c -(}N{c )-} & `n_1e_commtg_z'  & `n_1e_h_ctzpressure_z' & `n_1e_urate_z'           & `n_1e_treatqual_z'                                                            & `n_1e_patsat_z'                                                            & `n_1e_healthout_z'                                                          & `n_1e_mortrate_05'         \\
{res}{txt}
{com}.         tex \multirow{c -(}1{c )-}{c -(}*{c )-}{c -(}R$^{c -(}2{c )-}${c )-}   & `r2_1e_commtg_z'  & `r2_1e_h_ctzpressure_z' & `r2_1e_urate_z'           & `r2_1e_treatqual_z'                                                           & `r2_1e_patsat_z'                                                             & `r2_1e_healthout_z'                                                         & `r2_1e_mortrate_05'         \\
{res}{txt}
{com}.         tex \midrule
{res}{txt}
{com}.         tex \multirow{c -(}1{c )-}{c -(}*{c )-}{c -(}Coeff. Treat + Treat * Museveni vote share above sample median (2011){c )-}  & `est_4_commtg_z' & `est_4_h_ctzpressure_z' & `est_4_urate_z'           & `est_4_treatqual_z'                                                            & `est_4_patsat_z'                                                              & `est_4_healthout_z'                                                          & `est_4_mortrate_05'         \\
{res}{txt}
{com}.         tex \multirow{c -(}1{c )-}{c -(}*{c )-}{c -(}SE. Treat + Treat * Museveni vote share above sample median (2011){c )-}  & `se_4_commtg_z' & `se_4_h_ctzpressure_z' & `se_4_urate_z'           & `se_4_treatqual_z'                                                            & `se_4_patsat_z'                                                              & `se_4_healthout_z'                                                          & `se_4_mortrate_05'         \\
{res}{txt}
{com}.         tex \multirow{c -(}1{c )-}{c -(}*{c )-}{c -(}P-value Treat + Treat * Museveni vote share above sample median (2011){c )-}  & `p_4_commtg_z' & `p_4_h_ctzpressure_z' & `p_4_urate_z'           & `p_4_treatqual_z'                                                            & `p_4_patsat_z'                                                              & `p_4_healthout_z'                                                          & `p_4_mortrate_05'         \\
{res}{txt}
{com}.         tex \bottomrule
{res}{txt}
{com}.         tex \end{c -(}tabular{c )-}
{res}{txt}
{com}.         tex \end{c -(}table{c )-}
{res}{txt}
{com}.         texdoc close
{txt}(texdoc output written to {browse `"/Users/fredericcochinard/Dropbox/ACT_Health_JOP_replication_file/3.Tables and Figures/Tables/TableI27.tex"':/Users/fredericcochinard/Dropbox/ACT_Health_JOP_replication_file/3.Tables and Figures/Tables/TableI27.tex})
{res}{txt}
{com}.         
.         
.         *********************************************
.         * Table I28: Robustness check main outcomes *
.         *********************************************
.         
.         * At endline
.         
.         * We need to compute robustness check for Main and Intermediate outcomes
.         
.         * No control
.         * No FE
.         * HC agregated level
.         * Diff and diff with baseline
.         
.         ******************************
.         * Main Intermediate outcomes *
.         ******************************
.         
.         * We load the dataset. This is the light version
.         
.         use "${c -(}usedata{c )-}/chp_el_light_dataset.dta", clear
{txt}
{com}.         
.         * In this part, we regress the outcomes over the full treatment vs control
.         
.         local var treatfull
{txt}
{com}.         
.         local indices urate_z treatqual_z treatqualalt_z patsat_z commtg_z
{txt}
{com}.         
.         local indices_hc h_ctzpressure_z mortrate_05
{txt}
{com}.         
.         * At endline:
.         
.         **************
.         * No control *
.         **************
.         
.         eststo clear
{txt}
{com}. 
.         foreach x in `indices' {c -(}
{txt}  2{com}.                 areg  e_`x' `var' b_`x' b_`x'_d, robust cl(hc_id) a(district)
{txt}  3{com}.                 local n_nocon_`x' = string(`e(N)',"%9.0fc")
{txt}  4{com}.                 local b_nocon_`x' = string(_b[treatfull],"%9.3fc")
{txt}  5{com}.                 local se_nocon_`x' =string(_se[treatfull],"%9.3fc")
{txt}  6{com}.                 local p_nocon_`x' = (2 * ttail(e(df_r), abs(_b[treatfull]/_se[treatfull])))
{txt}  7{com}.                         
.                 if `p_nocon_`x'' <= 0.1 & `p_nocon_`x'' > 0.05{c -(}
{txt}  8{com}.                         local b_nocon_`x' `b_nocon_`x''*
{txt}  9{com}.                 {c )-}
{txt} 10{com}.         
.                 if `p_nocon_`x'' <= 0.05 & `p_nocon_`x'' > 0.01{c -(}
{txt} 11{com}.                         local b_nocon_`x' `b_nocon_`x''**
{txt} 12{com}.                 {c )-}
{txt} 13{com}.                 
.                 if `p_nocon_`x'' <= 0.01 & `p_nocon_`x'' > 0 {c -(}
{txt} 14{com}.                         local b_nocon_`x' `b_nocon_`x''***
{txt} 15{com}.                 {c )-}
{txt} 16{com}.                 
.                 local csb_nocon_`x' = string(_b[_cons],"%9.3fc")
{txt} 17{com}.                 local csse_nocon_`x' =string(_se[_cons],"%9.3fc")
{txt} 18{com}.                 local p_nocon_`x' = (2 * ttail(e(df_r), abs(_b[_cons]/_se[_cons])))
{txt} 19{com}.                         
.                 if `p_nocon_`x'' <= 0.1 & `p_nocon_`x'' > 0.05{c -(}
{txt} 20{com}.                         local csb_nocon_`x' `csb_nocon_`x''*
{txt} 21{com}.                 {c )-}
{txt} 22{com}.         
.                 if `p_nocon_`x'' <= 0.05 & `p_nocon_`x'' > 0.01{c -(}
{txt} 23{com}.                         local csb_nocon_`x' `csb_nocon_`x''**
{txt} 24{com}.                 {c )-}
{txt} 25{com}.                 
.                 if `p_nocon_`x'' <= 0.01 & `p_nocon_`x'' > 0 {c -(}
{txt} 26{com}.                         local csb_nocon_`x' `csb_nocon_`x''***
{txt} 27{com}.                 {c )-}
{txt} 28{com}.                 
.                 {c )-}
{txt}note: b_urate_z_d omitted because of collinearity
{res}
{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}     7,288
{txt}{col 49}F({res}   2{txt},{res}    186{txt}){col 67}= {res}    315.30
{txt}{col 49}Prob > F{col 67}= {res}    0.0000
{txt}{col 49}R-squared{col 67}= {res}    0.2179
{txt}{col 49}Adj R-squared{col 67}= {res}    0.2161
{txt}{col 49}Root MSE{col 67}= {res}    0.6661

{txt}{ralign 78:(Std. Err. adjusted for {res:187} clusters in hc_id)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}   e_urate_z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2} .0339163{col 26}{space 2} .0233909{col 37}{space 1}    1.45{col 46}{space 3}0.149{col 54}{space 4}-.0122294{col 67}{space 3} .0800619
{txt}{space 3}b_urate_z {c |}{col 14}{res}{space 2} .3921224{col 26}{space 2} .0156162{col 37}{space 1}   25.11{col 46}{space 3}0.000{col 54}{space 4} .3613148{col 67}{space 3}   .42293
{txt}{space 1}b_urate_z_d {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 7}_cons {c |}{col 14}{res}{space 2}-.0223503{col 26}{space 2} .0169684{col 37}{space 1}   -1.32{col 46}{space 3}0.189{col 54}{space 4}-.0558255{col 67}{space 3} .0111249
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)
note: b_treatqual_z_d omitted because of collinearity
{res}
{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}     7,288
{txt}{col 49}F({res}   2{txt},{res}    186{txt}){col 67}= {res}     16.39
{txt}{col 49}Prob > F{col 67}= {res}    0.0000
{txt}{col 49}R-squared{col 67}= {res}    0.0891
{txt}{col 49}Adj R-squared{col 67}= {res}    0.0870
{txt}{col 49}Root MSE{col 67}= {res}    0.3537

{txt}{ralign 78:(Std. Err. adjusted for {res:187} clusters in hc_id)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}e_treatq~l_z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2} .0698008{col 26}{space 2} .0265616{col 37}{space 1}    2.63{col 46}{space 3}0.009{col 54}{space 4} .0174001{col 67}{space 3} .1222015
{txt}b_treatq~l_z {c |}{col 14}{res}{space 2} .1076893{col 26}{space 2}  .020532{col 37}{space 1}    5.24{col 46}{space 3}0.000{col 54}{space 4} .0671838{col 67}{space 3} .1481948
{txt}b_trea~l_z_d {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 7}_cons {c |}{col 14}{res}{space 2} .0005298{col 26}{space 2} .0205771{col 37}{space 1}    0.03{col 46}{space 3}0.979{col 54}{space 4}-.0400648{col 67}{space 3} .0411244
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)
note: b_treatqualalt_z_d omitted because of collinearity
{res}
{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}     7,288
{txt}{col 49}F({res}   2{txt},{res}    186{txt}){col 67}= {res}     13.42
{txt}{col 49}Prob > F{col 67}= {res}    0.0000
{txt}{col 49}R-squared{col 67}= {res}    0.0256
{txt}{col 49}Adj R-squared{col 67}= {res}    0.0233
{txt}{col 49}Root MSE{col 67}= {res}    0.4761

{txt}{ralign 78:(Std. Err. adjusted for {res:187} clusters in hc_id)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}e_treatq~t_z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2} .0380948{col 26}{space 2} .0197157{col 37}{space 1}    1.93{col 46}{space 3}0.055{col 54}{space 4}-.0008004{col 67}{space 3} .0769899
{txt}b_treatq~t_z {c |}{col 14}{res}{space 2} .0878195{col 26}{space 2} .0180237{col 37}{space 1}    4.87{col 46}{space 3}0.000{col 54}{space 4} .0522623{col 67}{space 3} .1233768
{txt}b_trea~t_z_d {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 7}_cons {c |}{col 14}{res}{space 2}-.0022099{col 26}{space 2} .0154798{col 37}{space 1}   -0.14{col 46}{space 3}0.887{col 54}{space 4}-.0327485{col 67}{space 3} .0283287
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)
note: b_patsat_z_d omitted because of collinearity
{res}
{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}     7,288
{txt}{col 49}F({res}   2{txt},{res}    186{txt}){col 67}= {res}     48.55
{txt}{col 49}Prob > F{col 67}= {res}    0.0000
{txt}{col 49}R-squared{col 67}= {res}    0.0364
{txt}{col 49}Adj R-squared{col 67}= {res}    0.0341
{txt}{col 49}Root MSE{col 67}= {res}    0.5876

{txt}{ralign 78:(Std. Err. adjusted for {res:187} clusters in hc_id)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}  e_patsat_z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2} .0750959{col 26}{space 2} .0247572{col 37}{space 1}    3.03{col 46}{space 3}0.003{col 54}{space 4}  .026255{col 67}{space 3} .1239369
{txt}{space 2}b_patsat_z {c |}{col 14}{res}{space 2} .1399747{col 26}{space 2} .0151667{col 37}{space 1}    9.23{col 46}{space 3}0.000{col 54}{space 4} .1100539{col 67}{space 3} .1698955
{txt}b_patsat_z_d {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 7}_cons {c |}{col 14}{res}{space 2}-.0012853{col 26}{space 2} .0181776{col 37}{space 1}   -0.07{col 46}{space 3}0.944{col 54}{space 4}-.0371461{col 67}{space 3} .0345756
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)
note: b_commtg_z_d omitted because of collinearity
{res}
{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}     7,288
{txt}{col 49}F({res}   2{txt},{res}    186{txt}){col 67}= {res}     17.20
{txt}{col 49}Prob > F{col 67}= {res}    0.0000
{txt}{col 49}R-squared{col 67}= {res}    0.0857
{txt}{col 49}Adj R-squared{col 67}= {res}    0.0835
{txt}{col 49}Root MSE{col 67}= {res}    0.5618

{txt}{ralign 78:(Std. Err. adjusted for {res:187} clusters in hc_id)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}  e_commtg_z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2} .0063383{col 26}{space 2} .0284015{col 37}{space 1}    0.22{col 46}{space 3}0.824{col 54}{space 4}-.0496922{col 67}{space 3} .0623689
{txt}{space 2}b_commtg_z {c |}{col 14}{res}{space 2} .0794436{col 26}{space 2} .0136718{col 37}{space 1}    5.81{col 46}{space 3}0.000{col 54}{space 4}  .052472{col 67}{space 3} .1064153
{txt}b_commtg_z_d {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 7}_cons {c |}{col 14}{res}{space 2}  .003077{col 26}{space 2} .0189974{col 37}{space 1}    0.16{col 46}{space 3}0.872{col 54}{space 4}-.0344012{col 67}{space 3} .0405552
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{com}.         
.         * We include child mortality indicator at hc level
.         
.         foreach x in `indices_hc' {c -(}
{txt}  2{com}.                 areg  e_`x' `var' b_`x' if uniquehc == 1, robust a(district)
{txt}  3{com}.                 local n_nocon_`x' = string(`e(N)',"%9.0fc")
{txt}  4{com}.                 local b_nocon_`x' = string(_b[treatfull],"%9.3fc")
{txt}  5{com}.                 local se_nocon_`x' =string(_se[treatfull],"%9.3fc")
{txt}  6{com}.                 local p_nocon_`x' = (2 * ttail(e(df_r), abs(_b[treatfull]/_se[treatfull])))
{txt}  7{com}.                         
.                 if `p_nocon_`x'' <= 0.1 & `p_nocon_`x'' > 0.05{c -(}
{txt}  8{com}.                         local b_nocon_`x' `b_nocon_`x''*
{txt}  9{com}.                 {c )-}
{txt} 10{com}.         
.                 if `p_nocon_`x'' <= 0.05 & `p_nocon_`x'' > 0.01{c -(}
{txt} 11{com}.                         local b_nocon_`x' `b_nocon_`x''**
{txt} 12{com}.                 {c )-}
{txt} 13{com}.                 
.                 if `p_nocon_`x'' <= 0.01 & `p_nocon_`x'' > 0 {c -(}
{txt} 14{com}.                         local b_nocon_`x' `b_nocon_`x''***
{txt} 15{com}.                 {c )-}
{txt} 16{com}.                 
.                 local csb_nocon_`x' = string(_b[_cons],"%9.3fc")
{txt} 17{com}.                 local csse_nocon_`x' =string(_se[_cons],"%9.3fc")
{txt} 18{com}.                 local p_nocon_`x' = (2 * ttail(e(df_r), abs(_b[_cons]/_se[_cons])))
{txt} 19{com}.                         
.                 if `p_nocon_`x'' <= 0.1 & `p_nocon_`x'' > 0.05{c -(}
{txt} 20{com}.                         local csb_nocon_`x' `csb_nocon_`x''*
{txt} 21{com}.                 {c )-}
{txt} 22{com}.         
.                 if `p_nocon_`x'' <= 0.05 & `p_nocon_`x'' > 0.01{c -(}
{txt} 23{com}.                         local csb_nocon_`x' `csb_nocon_`x''**
{txt} 24{com}.                 {c )-}
{txt} 25{com}.                 
.                 if `p_nocon_`x'' <= 0.01 & `p_nocon_`x'' > 0 {c -(}
{txt} 26{com}.                         local csb_nocon_`x' `csb_nocon_`x''***
{txt} 27{com}.                 {c )-}
{txt} 28{com}.                 
.                 {c )-}
{res}
{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}       187
{txt}{col 49}F({res}   2{txt},{res}    169{txt}){col 67}= {res}      0.96
{txt}{col 49}Prob > F{col 67}= {res}    0.3862
{txt}{col 49}R-squared{col 67}= {res}    0.0633
{txt}{col 49}Adj R-squared{col 67}= {res}   -0.0309
{txt}{col 49}Root MSE{col 67}= {res}    0.6993

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}e_h_ctzpre~z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2}-.1305759{col 26}{space 2} .1046366{col 37}{space 1}   -1.25{col 46}{space 3}0.214{col 54}{space 4} -.337139{col 67}{space 3} .0759873
{txt}b_h_ctzpre~z {c |}{col 14}{res}{space 2} .0090915{col 26}{space 2} .0602783{col 37}{space 1}    0.15{col 46}{space 3}0.880{col 54}{space 4} -.109904{col 67}{space 3}  .128087
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} .0113694{col 26}{space 2} .0699469{col 37}{space 1}    0.16{col 46}{space 3}0.871{col 54}{space 4}-.1267129{col 67}{space 3} .1494517
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)
{res}
{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}       187
{txt}{col 49}F({res}   2{txt},{res}    169{txt}){col 67}= {res}      1.23
{txt}{col 49}Prob > F{col 67}= {res}    0.2960
{txt}{col 49}R-squared{col 67}= {res}    0.1382
{txt}{col 49}Adj R-squared{col 67}= {res}    0.0515
{txt}{col 49}Root MSE{col 67}= {res}    0.0534

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}e_mortrat~05{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2} -.010056{col 26}{space 2}  .007858{col 37}{space 1}   -1.28{col 46}{space 3}0.202{col 54}{space 4}-.0255684{col 67}{space 3} .0054564
{txt}b_mortrat~05 {c |}{col 14}{res}{space 2} .0631882{col 26}{space 2} .0620253{col 37}{space 1}    1.02{col 46}{space 3}0.310{col 54}{space 4} -.059256{col 67}{space 3} .1856325
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} .0608547{col 26}{space 2} .0061404{col 37}{space 1}    9.91{col 46}{space 3}0.000{col 54}{space 4} .0487329{col 67}{space 3} .0729765
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{com}.                 
.         *********
.         * No FE *
.         *********
.         
.         * We define the control variable
.         
.         local  e_controls_noprefix hc2 b_h_del b_h_staff_houses b_visited_d educyr b_assetindex
{txt}
{com}.                 
.         foreach x in e_ {c -(}
{txt}  2{com}.         
.                 local `x'controls_tfull
{txt}  3{com}.                 local `x'controls_tfull_hc
{txt}  4{com}.                 
.                 {c )-}
{txt}
{com}.                 
.         foreach x in e_ {c -(}
{txt}  2{com}.                 foreach var in treatfull {c -(}
{txt}  3{com}.                         local `var'_int_`x'controls
{txt}  4{com}.                         local `var'_hc_int_`x'controls
{txt}  5{com}.                         {c )-}
{txt}  6{com}.                 {c )-}
{txt}
{com}.                 
.         foreach var of local e_controls_noprefix {c -(}
{txt}  2{com}.                 local e_controls_tfull `e_controls_tfull' c_tfull_`var'
{txt}  3{com}.                 local e_controls_tfull_hc `e_controls_tfull_hc' c_tfull_hc_`var'
{txt}  4{com}.                 {c )-}       
{txt}
{com}.                                 
.         foreach treat in treatfull {c -(}
{txt}  2{com}.                 foreach var of local e_controls_noprefix {c -(}
{txt}  3{com}.                         local `treat'_int_e_controls ``treat'_int_e_controls' c_`treat'_`var'
{txt}  4{com}.                         local `treat'_hc_int_e_controls ``treat'_hc_int_e_controls' c_`treat'_hc_`var'
{txt}  5{com}.                         {c )-}
{txt}  6{com}.                 {c )-}
{txt}
{com}.         
.         
.         eststo clear
{txt}
{com}.         
.         local var treatfull
{txt}
{com}.         
.         foreach x in `indices' {c -(}
{txt}  2{com}.                 reg  e_`x' `var' b_`x' b_`x'_d `e_controls_tfull' ``var'_int_e_controls', cl(hc_id) robust
{txt}  3{com}.                 local n_nofe_`x' = string(`e(N)',"%9.0fc")
{txt}  4{com}.                 local b_nofe_`x' = string(_b[treatfull],"%9.3fc")
{txt}  5{com}.                 local se_nofe_`x' =string(_se[treatfull],"%9.3fc")
{txt}  6{com}.                 local p_nofe_`x' = (2 * ttail(e(df_r), abs(_b[treatfull]/_se[treatfull])))
{txt}  7{com}.                         
.                 if `p_nofe_`x'' <= 0.1 & `p_nofe_`x'' > 0.05{c -(}
{txt}  8{com}.                         local b_nofe_`x' `b_nofe_`x''*
{txt}  9{com}.                 {c )-}
{txt} 10{com}.         
.                 if `p_nofe_`x'' <= 0.05 & `p_nofe_`x'' > 0.01{c -(}
{txt} 11{com}.                         local b_nofe_`x' `b_nofe_`x''**
{txt} 12{com}.                 {c )-}
{txt} 13{com}.                 
.                 if `p_nofe_`x'' <= 0.01 & `p_nofe_`x'' > 0 {c -(}
{txt} 14{com}.                         local b_nofe_`x' `b_nofe_`x''***
{txt} 15{com}.                 {c )-}
{txt} 16{com}.                 
.                 local csb_nofe_`x' = string(_b[_cons],"%9.3fc")
{txt} 17{com}.                 local csse_nofe_`x' =string(_se[_cons],"%9.3fc")
{txt} 18{com}.                 local p_nofe_`x' = (2 * ttail(e(df_r), abs(_b[_cons]/_se[_cons])))
{txt} 19{com}.                         
.                 if `p_nofe_`x'' <= 0.1 & `p_nofe_`x'' > 0.05{c -(}
{txt} 20{com}.                         local csb_nofe_`x' `csb_nofe_`x''*
{txt} 21{com}.                 {c )-}
{txt} 22{com}.         
.                 if `p_nofe_`x'' <= 0.05 & `p_nofe_`x'' > 0.01{c -(}
{txt} 23{com}.                         local csb_nofe_`x' `csb_nofe_`x''**
{txt} 24{com}.                 {c )-}
{txt} 25{com}.                 
.                 if `p_nofe_`x'' <= 0.01 & `p_nofe_`x'' > 0 {c -(}
{txt} 26{com}.                         local csb_nofe_`x' `csb_nofe_`x''***
{txt} 27{com}.                 {c )-}
{txt} 28{com}.                 
.                 {c )-}
{txt}note: b_urate_z_d omitted because of collinearity

Linear regression                               Number of obs     = {res}     7,288
                                                {txt}F(14, 186)        =  {res}    87.65
                                                {txt}Prob > F          = {res}    0.0000
                                                {txt}R-squared         = {res}    0.1954
                                                {txt}Root MSE          =    {res}  .6755

{txt}{ralign 78:(Std. Err. adjusted for {res:187} clusters in hc_id)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}   e_urate_z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2} .0133446{col 26}{space 2} .0283659{col 37}{space 1}    0.47{col 46}{space 3}0.639{col 54}{space 4}-.0426156{col 67}{space 3} .0693048
{txt}{space 3}b_urate_z {c |}{col 14}{res}{space 2} .4016953{col 26}{space 2} .0153558{col 37}{space 1}   26.16{col 46}{space 3}0.000{col 54}{space 4} .3714014{col 67}{space 3} .4319892
{txt}{space 1}b_urate_z_d {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 1}c_tfull_hc2 {c |}{col 14}{res}{space 2}  .016423{col 26}{space 2} .0475595{col 37}{space 1}    0.35{col 46}{space 3}0.730{col 54}{space 4}-.0774024{col 67}{space 3} .1102483
{txt}c_tfull_b_~l {c |}{col 14}{res}{space 2}-.0222377{col 26}{space 2} .0546384{col 37}{space 1}   -0.41{col 46}{space 3}0.684{col 54}{space 4}-.1300283{col 67}{space 3} .0855528
{txt}c_tfull_b_~s {c |}{col 14}{res}{space 2} .1307976{col 26}{space 2} .0569363{col 37}{space 1}    2.30{col 46}{space 3}0.023{col 54}{space 4} .0184736{col 67}{space 3} .2431216
{txt}c_tfull_b_~d {c |}{col 14}{res}{space 2} .1706088{col 26}{space 2} .0621032{col 37}{space 1}    2.75{col 46}{space 3}0.007{col 54}{space 4} .0480916{col 67}{space 3}  .293126
{txt}c_tfull_ed~r {c |}{col 14}{res}{space 2}-.0124384{col 26}{space 2} .0029176{col 37}{space 1}   -4.26{col 46}{space 3}0.000{col 54}{space 4}-.0181942{col 67}{space 3}-.0066826
{txt}c_tfull_b_~x {c |}{col 14}{res}{space 2}-.0666697{col 26}{space 2} .0129539{col 37}{space 1}   -5.15{col 46}{space 3}0.000{col 54}{space 4}-.0922251{col 67}{space 3}-.0411143
{txt}c_trea~l_hc2 {c |}{col 14}{res}{space 2}-.0130382{col 26}{space 2} .0670687{col 37}{space 1}   -0.19{col 46}{space 3}0.846{col 54}{space 4}-.1453514{col 67}{space 3}  .119275
{txt}c_treatful.. {c |}{col 14}{res}{space 2} .0410045{col 26}{space 2} .0766698{col 37}{space 1}    0.53{col 46}{space 3}0.593{col 54}{space 4}-.1102497{col 67}{space 3} .1922587
{txt}c_treatful.. {c |}{col 14}{res}{space 2}-.1476137{col 26}{space 2} .0866675{col 37}{space 1}   -1.70{col 46}{space 3}0.090{col 54}{space 4}-.3185914{col 67}{space 3}  .023364
{txt}c_treatful.. {c |}{col 14}{res}{space 2}-.0272683{col 26}{space 2} .0839052{col 37}{space 1}   -0.32{col 46}{space 3}0.746{col 54}{space 4}-.1927966{col 67}{space 3}   .13826
{txt}c_treatful.. {c |}{col 14}{res}{space 2} .0036814{col 26}{space 2} .0043621{col 37}{space 1}    0.84{col 46}{space 3}0.400{col 54}{space 4}-.0049242{col 67}{space 3}  .012287
{txt}c_treatful.. {c |}{col 14}{res}{space 2}-.0204203{col 26}{space 2} .0194647{col 37}{space 1}   -1.05{col 46}{space 3}0.295{col 54}{space 4}-.0588201{col 67}{space 3} .0179796
{txt}{space 7}_cons {c |}{col 14}{res}{space 2}-.0115917{col 26}{space 2} .0196577{col 37}{space 1}   -0.59{col 46}{space 3}0.556{col 54}{space 4}-.0503723{col 67}{space 3}  .027189
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}note: b_treatqual_z_d omitted because of collinearity

Linear regression                               Number of obs     = {res}     7,288
                                                {txt}F(14, 186)        =  {res}     5.18
                                                {txt}Prob > F          = {res}    0.0000
                                                {txt}R-squared         = {res}    0.0388
                                                {txt}Root MSE          =    {res} .36325

{txt}{ralign 78:(Std. Err. adjusted for {res:187} clusters in hc_id)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}e_treatq~l_z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2} .0636083{col 26}{space 2}  .029114{col 37}{space 1}    2.18{col 46}{space 3}0.030{col 54}{space 4} .0061721{col 67}{space 3} .1210445
{txt}b_treatq~l_z {c |}{col 14}{res}{space 2} .1263384{col 26}{space 2} .0234769{col 37}{space 1}    5.38{col 46}{space 3}0.000{col 54}{space 4} .0800232{col 67}{space 3} .1726536
{txt}b_trea~l_z_d {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 1}c_tfull_hc2 {c |}{col 14}{res}{space 2}-.0594593{col 26}{space 2} .0578827{col 37}{space 1}   -1.03{col 46}{space 3}0.306{col 54}{space 4}-.1736504{col 67}{space 3} .0547317
{txt}c_tfull_b_~l {c |}{col 14}{res}{space 2}-.0434619{col 26}{space 2} .0674969{col 37}{space 1}   -0.64{col 46}{space 3}0.520{col 54}{space 4}-.1766198{col 67}{space 3} .0896961
{txt}c_tfull_b_~s {c |}{col 14}{res}{space 2} .0830658{col 26}{space 2} .0649611{col 37}{space 1}    1.28{col 46}{space 3}0.203{col 54}{space 4}-.0450895{col 67}{space 3} .2112212
{txt}c_tfull_b_~d {c |}{col 14}{res}{space 2} .0265111{col 26}{space 2} .0280351{col 37}{space 1}    0.95{col 46}{space 3}0.346{col 54}{space 4}-.0287966{col 67}{space 3} .0818188
{txt}c_tfull_ed~r {c |}{col 14}{res}{space 2}-.0036489{col 26}{space 2} .0017509{col 37}{space 1}   -2.08{col 46}{space 3}0.039{col 54}{space 4}-.0071031{col 67}{space 3}-.0001947
{txt}c_tfull_b_~x {c |}{col 14}{res}{space 2}-.0037944{col 26}{space 2}  .010154{col 37}{space 1}   -0.37{col 46}{space 3}0.709{col 54}{space 4}-.0238262{col 67}{space 3} .0162374
{txt}c_trea~l_hc2 {c |}{col 14}{res}{space 2} .0766078{col 26}{space 2} .0690186{col 37}{space 1}    1.11{col 46}{space 3}0.268{col 54}{space 4} -.059552{col 67}{space 3} .2127677
{txt}c_treatful.. {c |}{col 14}{res}{space 2} .0979757{col 26}{space 2} .0777203{col 37}{space 1}    1.26{col 46}{space 3}0.209{col 54}{space 4}-.0553509{col 67}{space 3} .2513023
{txt}c_treatful.. {c |}{col 14}{res}{space 2} -.109247{col 26}{space 2} .0808693{col 37}{space 1}   -1.35{col 46}{space 3}0.178{col 54}{space 4}-.2687858{col 67}{space 3} .0502919
{txt}c_treatful.. {c |}{col 14}{res}{space 2} .0304691{col 26}{space 2} .0372687{col 37}{space 1}    0.82{col 46}{space 3}0.415{col 54}{space 4}-.0430545{col 67}{space 3} .1039927
{txt}c_treatful.. {c |}{col 14}{res}{space 2} .0024249{col 26}{space 2} .0024229{col 37}{space 1}    1.00{col 46}{space 3}0.318{col 54}{space 4}-.0023551{col 67}{space 3} .0072049
{txt}c_treatful.. {c |}{col 14}{res}{space 2}-.0241935{col 26}{space 2} .0132845{col 37}{space 1}   -1.82{col 46}{space 3}0.070{col 54}{space 4}-.0504011{col 67}{space 3} .0020141
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} .0029625{col 26}{space 2}   .02346{col 37}{space 1}    0.13{col 46}{space 3}0.900{col 54}{space 4}-.0433193{col 67}{space 3} .0492443
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}note: b_treatqualalt_z_d omitted because of collinearity

Linear regression                               Number of obs     = {res}     7,288
                                                {txt}F(14, 186)        =  {res}     4.36
                                                {txt}Prob > F          = {res}    0.0000
                                                {txt}R-squared         = {res}    0.0186
                                                {txt}Root MSE          =    {res} .47767

{txt}{ralign 78:(Std. Err. adjusted for {res:187} clusters in hc_id)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}e_treatq~t_z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2} .0358092{col 26}{space 2} .0203757{col 37}{space 1}    1.76{col 46}{space 3}0.080{col 54}{space 4} -.004388{col 67}{space 3} .0760064
{txt}b_treatq~t_z {c |}{col 14}{res}{space 2} .0818395{col 26}{space 2} .0182661{col 37}{space 1}    4.48{col 46}{space 3}0.000{col 54}{space 4} .0458042{col 67}{space 3} .1178748
{txt}b_trea~t_z_d {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 1}c_tfull_hc2 {c |}{col 14}{res}{space 2}-.0690167{col 26}{space 2} .0398564{col 37}{space 1}   -1.73{col 46}{space 3}0.085{col 54}{space 4}-.1476454{col 67}{space 3} .0096119
{txt}c_tfull_b_~l {c |}{col 14}{res}{space 2} .0365296{col 26}{space 2} .0439415{col 37}{space 1}    0.83{col 46}{space 3}0.407{col 54}{space 4}-.0501582{col 67}{space 3} .1232174
{txt}c_tfull_b_~s {c |}{col 14}{res}{space 2}-.0251161{col 26}{space 2} .0462222{col 37}{space 1}   -0.54{col 46}{space 3}0.588{col 54}{space 4}-.1163033{col 67}{space 3} .0660712
{txt}c_tfull_b_~d {c |}{col 14}{res}{space 2} -.005328{col 26}{space 2}  .028005{col 37}{space 1}   -0.19{col 46}{space 3}0.849{col 54}{space 4}-.0605762{col 67}{space 3} .0499202
{txt}c_tfull_ed~r {c |}{col 14}{res}{space 2} -.002479{col 26}{space 2} .0019475{col 37}{space 1}   -1.27{col 46}{space 3}0.205{col 54}{space 4}-.0063211{col 67}{space 3}  .001363
{txt}c_tfull_b_~x {c |}{col 14}{res}{space 2}-.0280557{col 26}{space 2} .0116975{col 37}{space 1}   -2.40{col 46}{space 3}0.017{col 54}{space 4}-.0511325{col 67}{space 3}-.0049789
{txt}c_trea~l_hc2 {c |}{col 14}{res}{space 2} .0704944{col 26}{space 2} .0488824{col 37}{space 1}    1.44{col 46}{space 3}0.151{col 54}{space 4}-.0259407{col 67}{space 3} .1669296
{txt}c_treatful.. {c |}{col 14}{res}{space 2} .0078438{col 26}{space 2} .0535387{col 37}{space 1}    0.15{col 46}{space 3}0.884{col 54}{space 4}-.0977773{col 67}{space 3}  .113465
{txt}c_treatful.. {c |}{col 14}{res}{space 2} -.012697{col 26}{space 2}  .059208{col 37}{space 1}   -0.21{col 46}{space 3}0.830{col 54}{space 4}-.1295026{col 67}{space 3} .1041086
{txt}c_treatful.. {c |}{col 14}{res}{space 2} .0630962{col 26}{space 2}   .03885{col 37}{space 1}    1.62{col 46}{space 3}0.106{col 54}{space 4}-.0135472{col 67}{space 3} .1397396
{txt}c_treatful.. {c |}{col 14}{res}{space 2} .0027223{col 26}{space 2} .0028605{col 37}{space 1}    0.95{col 46}{space 3}0.342{col 54}{space 4}-.0029209{col 67}{space 3} .0083654
{txt}c_treatful.. {c |}{col 14}{res}{space 2}-.0064367{col 26}{space 2} .0147948{col 37}{space 1}   -0.44{col 46}{space 3}0.664{col 54}{space 4}-.0356239{col 67}{space 3} .0227505
{txt}{space 7}_cons {c |}{col 14}{res}{space 2}-.0016671{col 26}{space 2} .0157638{col 37}{space 1}   -0.11{col 46}{space 3}0.916{col 54}{space 4} -.032766{col 67}{space 3} .0294318
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}note: b_patsat_z_d omitted because of collinearity

Linear regression                               Number of obs     = {res}     7,288
                                                {txt}F(14, 186)        =  {res}     9.15
                                                {txt}Prob > F          = {res}    0.0000
                                                {txt}R-squared         = {res}    0.0347
                                                {txt}Root MSE          =    {res} .58802

{txt}{ralign 78:(Std. Err. adjusted for {res:187} clusters in hc_id)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}  e_patsat_z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2} .0747031{col 26}{space 2} .0247312{col 37}{space 1}    3.02{col 46}{space 3}0.003{col 54}{space 4} .0259134{col 67}{space 3} .1234928
{txt}{space 2}b_patsat_z {c |}{col 14}{res}{space 2} .1448535{col 26}{space 2} .0154491{col 37}{space 1}    9.38{col 46}{space 3}0.000{col 54}{space 4} .1143756{col 67}{space 3} .1753314
{txt}b_patsat_z_d {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 1}c_tfull_hc2 {c |}{col 14}{res}{space 2}-.0060865{col 26}{space 2} .0390965{col 37}{space 1}   -0.16{col 46}{space 3}0.876{col 54}{space 4}-.0832162{col 67}{space 3} .0710431
{txt}c_tfull_b_~l {c |}{col 14}{res}{space 2}  .073556{col 26}{space 2} .0434946{col 37}{space 1}    1.69{col 46}{space 3}0.092{col 54}{space 4}-.0122501{col 67}{space 3} .1593621
{txt}c_tfull_b_~s {c |}{col 14}{res}{space 2}-.0076101{col 26}{space 2}  .054396{col 37}{space 1}   -0.14{col 46}{space 3}0.889{col 54}{space 4}-.1149225{col 67}{space 3} .0997023
{txt}c_tfull_b_~d {c |}{col 14}{res}{space 2} .0239725{col 26}{space 2} .0440886{col 37}{space 1}    0.54{col 46}{space 3}0.587{col 54}{space 4}-.0630055{col 67}{space 3} .1109504
{txt}c_tfull_ed~r {c |}{col 14}{res}{space 2} .0019369{col 26}{space 2}  .002761{col 37}{space 1}    0.70{col 46}{space 3}0.484{col 54}{space 4}  -.00351{col 67}{space 3} .0073837
{txt}c_tfull_b_~x {c |}{col 14}{res}{space 2} .0090761{col 26}{space 2} .0100571{col 37}{space 1}    0.90{col 46}{space 3}0.368{col 54}{space 4}-.0107645{col 67}{space 3} .0289166
{txt}c_trea~l_hc2 {c |}{col 14}{res}{space 2} -.092212{col 26}{space 2} .0571882{col 37}{space 1}   -1.61{col 46}{space 3}0.109{col 54}{space 4}-.2050328{col 67}{space 3} .0206088
{txt}c_treatful.. {c |}{col 14}{res}{space 2}-.1301918{col 26}{space 2} .0652526{col 37}{space 1}   -2.00{col 46}{space 3}0.047{col 54}{space 4} -.258922{col 67}{space 3}-.0014615
{txt}c_treatful.. {c |}{col 14}{res}{space 2}-.0239855{col 26}{space 2} .0761696{col 37}{space 1}   -0.31{col 46}{space 3}0.753{col 54}{space 4} -.174253{col 67}{space 3} .1262819
{txt}c_treatful.. {c |}{col 14}{res}{space 2}-.0296912{col 26}{space 2} .0519448{col 37}{space 1}   -0.57{col 46}{space 3}0.568{col 54}{space 4} -.132168{col 67}{space 3} .0727855
{txt}c_treatful.. {c |}{col 14}{res}{space 2} .0025937{col 26}{space 2} .0036565{col 37}{space 1}    0.71{col 46}{space 3}0.479{col 54}{space 4}-.0046198{col 67}{space 3} .0098071
{txt}c_treatful.. {c |}{col 14}{res}{space 2}-.0263485{col 26}{space 2} .0151452{col 37}{space 1}   -1.74{col 46}{space 3}0.084{col 54}{space 4}-.0562269{col 67}{space 3} .0035299
{txt}{space 7}_cons {c |}{col 14}{res}{space 2}-.0008576{col 26}{space 2} .0176464{col 37}{space 1}   -0.05{col 46}{space 3}0.961{col 54}{space 4}-.0356703{col 67}{space 3} .0339552
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}note: b_commtg_z_d omitted because of collinearity

Linear regression                               Number of obs     = {res}     7,288
                                                {txt}F(14, 186)        =  {res}     7.10
                                                {txt}Prob > F          = {res}    0.0000
                                                {txt}R-squared         = {res}    0.0251
                                                {txt}Root MSE          =    {res} .58001

{txt}{ralign 78:(Std. Err. adjusted for {res:187} clusters in hc_id)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}  e_commtg_z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2}  .009784{col 26}{space 2} .0362257{col 37}{space 1}    0.27{col 46}{space 3}0.787{col 54}{space 4} -.061682{col 67}{space 3}   .08125
{txt}{space 2}b_commtg_z {c |}{col 14}{res}{space 2} .0785279{col 26}{space 2} .0150756{col 37}{space 1}    5.21{col 46}{space 3}0.000{col 54}{space 4} .0487867{col 67}{space 3} .1082691
{txt}b_commtg_z_d {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 1}c_tfull_hc2 {c |}{col 14}{res}{space 2} .0660259{col 26}{space 2} .0510986{col 37}{space 1}    1.29{col 46}{space 3}0.198{col 54}{space 4}-.0347814{col 67}{space 3} .1668332
{txt}c_tfull_b_~l {c |}{col 14}{res}{space 2}-.0283243{col 26}{space 2} .0843795{col 37}{space 1}   -0.34{col 46}{space 3}0.737{col 54}{space 4}-.1947881{col 67}{space 3} .1381395
{txt}c_tfull_b_~s {c |}{col 14}{res}{space 2}-.0111736{col 26}{space 2} .0955921{col 37}{space 1}   -0.12{col 46}{space 3}0.907{col 54}{space 4}-.1997577{col 67}{space 3} .1774105
{txt}c_tfull_b_~d {c |}{col 14}{res}{space 2} .1011285{col 26}{space 2} .0401371{col 37}{space 1}    2.52{col 46}{space 3}0.013{col 54}{space 4}  .021946{col 67}{space 3}  .180311
{txt}c_tfull_ed~r {c |}{col 14}{res}{space 2} .0030324{col 26}{space 2} .0026499{col 37}{space 1}    1.14{col 46}{space 3}0.254{col 54}{space 4}-.0021954{col 67}{space 3} .0082602
{txt}c_tfull_b_~x {c |}{col 14}{res}{space 2} .0316092{col 26}{space 2} .0128295{col 37}{space 1}    2.46{col 46}{space 3}0.015{col 54}{space 4} .0062991{col 67}{space 3} .0569193
{txt}c_trea~l_hc2 {c |}{col 14}{res}{space 2} .0689254{col 26}{space 2} .0724271{col 37}{space 1}    0.95{col 46}{space 3}0.343{col 54}{space 4}-.0739588{col 67}{space 3} .2118097
{txt}c_treatful.. {c |}{col 14}{res}{space 2} .1328463{col 26}{space 2} .1014683{col 37}{space 1}    1.31{col 46}{space 3}0.192{col 54}{space 4}-.0673304{col 67}{space 3}  .333023
{txt}c_treatful.. {c |}{col 14}{res}{space 2} .0507182{col 26}{space 2} .1158762{col 37}{space 1}    0.44{col 46}{space 3}0.662{col 54}{space 4}-.1778824{col 67}{space 3} .2793188
{txt}c_treatful.. {c |}{col 14}{res}{space 2} .0930891{col 26}{space 2} .0628814{col 37}{space 1}    1.48{col 46}{space 3}0.140{col 54}{space 4}-.0309634{col 67}{space 3} .2171415
{txt}c_treatful.. {c |}{col 14}{res}{space 2}-.0005644{col 26}{space 2}  .003776{col 37}{space 1}   -0.15{col 46}{space 3}0.881{col 54}{space 4}-.0080138{col 67}{space 3} .0068849
{txt}c_treatful.. {c |}{col 14}{res}{space 2} .0008393{col 26}{space 2} .0194327{col 37}{space 1}    0.04{col 46}{space 3}0.966{col 54}{space 4}-.0374976{col 67}{space 3} .0391762
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} .0013554{col 26}{space 2} .0256853{col 37}{space 1}    0.05{col 46}{space 3}0.958{col 54}{space 4}-.0493166{col 67}{space 3} .0520274
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}.                 
.         foreach x in `indices_hc' {c -(}
{txt}  2{com}.                 reg  e_`x' `var' b_`x' `e_controls_tfull_hc' ``var'_hc_int_e_controls' if uniquehc == 1, robust
{txt}  3{com}.                 local n_nofe_`x' = string(`e(N)',"%9.0fc")
{txt}  4{com}.                 local b_nofe_`x' = string(_b[treatfull],"%9.3fc")
{txt}  5{com}.                 local se_nofe_`x' =string(_se[treatfull],"%9.3fc")
{txt}  6{com}.                 local p_nofe_`x' = (2 * ttail(e(df_r), abs(_b[treatfull]/_se[treatfull])))
{txt}  7{com}.                         
.                 if `p_nofe_`x'' <= 0.1 & `p_nofe_`x'' > 0.05{c -(}
{txt}  8{com}.                         local b_nofe_`x' `b_nofe_`x''*
{txt}  9{com}.                 {c )-}
{txt} 10{com}.         
.                 if `p_nofe_`x'' <= 0.05 & `p_nofe_`x'' > 0.01{c -(}
{txt} 11{com}.                         local b_nofe_`x' `b_nofe_`x''**
{txt} 12{com}.                 {c )-}
{txt} 13{com}.                 
.                 if `p_nofe_`x'' <= 0.01 & `p_nofe_`x'' > 0 {c -(}
{txt} 14{com}.                         local b_nofe_`x' `b_nofe_`x''***
{txt} 15{com}.                 {c )-}
{txt} 16{com}.                 
.                 local csb_nofe_`x' = string(_b[_cons],"%9.3fc")
{txt} 17{com}.                 local csse_nofe_`x' =string(_se[_cons],"%9.3fc")
{txt} 18{com}.                 local p_nofe_`x' = (2 * ttail(e(df_r), abs(_b[_cons]/_se[_cons])))
{txt} 19{com}.                         
.                 if `p_nofe_`x'' <= 0.1 & `p_nofe_`x'' > 0.05{c -(}
{txt} 20{com}.                         local csb_nofe_`x' `csb_nofe_`x''*
{txt} 21{com}.                 {c )-}
{txt} 22{com}.         
.                 if `p_nofe_`x'' <= 0.05 & `p_nofe_`x'' > 0.01{c -(}
{txt} 23{com}.                         local csb_nofe_`x' `csb_nofe_`x''**
{txt} 24{com}.                 {c )-}
{txt} 25{com}.                 
.                 if `p_nofe_`x'' <= 0.01 & `p_nofe_`x'' > 0 {c -(}
{txt} 26{com}.                         local csb_nofe_`x' `csb_nofe_`x''***
{txt} 27{com}.                 {c )-}
{txt} 28{com}.                 
.                 {c )-}

{txt}Linear regression                               Number of obs     = {res}       187
                                                {txt}F(14, 172)        =  {res}     1.12
                                                {txt}Prob > F          = {res}    0.3426
                                                {txt}R-squared         = {res}    0.0721
                                                {txt}Root MSE          =    {res} .68998

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}e_h_ctzpre~z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2}-.1196894{col 26}{space 2} .0997421{col 37}{space 1}   -1.20{col 46}{space 3}0.232{col 54}{space 4}-.3165654{col 67}{space 3} .0771867
{txt}b_h_ctzpre~z {c |}{col 14}{res}{space 2}  .025766{col 26}{space 2} .0626846{col 37}{space 1}    0.41{col 46}{space 3}0.682{col 54}{space 4} -.097964{col 67}{space 3} .1494961
{txt}c_tf~_hc_hc2 {c |}{col 14}{res}{space 2} -.153949{col 26}{space 2} .1351004{col 37}{space 1}   -1.14{col 46}{space 3}0.256{col 54}{space 4}-.4206172{col 67}{space 3} .1127192
{txt}c_tfull_hc~l {c |}{col 14}{res}{space 2}-.0140158{col 26}{space 2} .1330718{col 37}{space 1}   -0.11{col 46}{space 3}0.916{col 54}{space 4}-.2766799{col 67}{space 3} .2486482
{txt}c_tfull_hc~s {c |}{col 14}{res}{space 2} .4174959{col 26}{space 2} .1969967{col 37}{space 1}    2.12{col 46}{space 3}0.035{col 54}{space 4} .0286536{col 67}{space 3} .8063382
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2} -.249453{col 26}{space 2} .4290074{col 37}{space 1}   -0.58{col 46}{space 3}0.562{col 54}{space 4} -1.09625{col 67}{space 3} .5973442
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2}-.0541092{col 26}{space 2} .0686218{col 37}{space 1}   -0.79{col 46}{space 3}0.431{col 54}{space 4}-.1895586{col 67}{space 3} .0813401
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2} .0244131{col 26}{space 2} .1573568{col 37}{space 1}    0.16{col 46}{space 3}0.877{col 54}{space 4}-.2861859{col 67}{space 3} .3350121
{txt}c_treatful.. {c |}{col 14}{res}{space 2} .0759898{col 26}{space 2} .2481033{col 37}{space 1}    0.31{col 46}{space 3}0.760{col 54}{space 4}-.4137294{col 67}{space 3}  .565709
{txt}c_treatful.. {c |}{col 14}{res}{space 2}-.1335147{col 26}{space 2} .2087405{col 37}{space 1}   -0.64{col 46}{space 3}0.523{col 54}{space 4}-.5455376{col 67}{space 3} .2785081
{txt}c_treatful.. {c |}{col 14}{res}{space 2}-.5018393{col 26}{space 2} .2601821{col 37}{space 1}   -1.93{col 46}{space 3}0.055{col 54}{space 4}  -1.0154{col 67}{space 3} .0117218
{txt}c_treatful.. {c |}{col 14}{res}{space 2} .6750606{col 26}{space 2} .9751241{col 37}{space 1}    0.69{col 46}{space 3}0.490{col 54}{space 4} -1.24969{col 67}{space 3} 2.599811
{txt}c_treatful.. {c |}{col 14}{res}{space 2} .0974257{col 26}{space 2} .1099939{col 37}{space 1}    0.89{col 46}{space 3}0.377{col 54}{space 4}-.1196859{col 67}{space 3} .3145374
{txt}c_treatful.. {c |}{col 14}{res}{space 2} .0688285{col 26}{space 2}  .258136{col 37}{space 1}    0.27{col 46}{space 3}0.790{col 54}{space 4}-.4406938{col 67}{space 3} .5783507
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} .0039058{col 26}{space 2}  .062362{col 37}{space 1}    0.06{col 46}{space 3}0.950{col 54}{space 4}-.1191875{col 67}{space 3} .1269992
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}
{txt}Linear regression                               Number of obs     = {res}       187
                                                {txt}F(14, 172)        =  {res}     1.68
                                                {txt}Prob > F          = {res}    0.0629
                                                {txt}R-squared         = {res}    0.0850
                                                {txt}Root MSE          =    {res} .05451

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}e_mortrat~05{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2}-.0091317{col 26}{space 2} .0079658{col 37}{space 1}   -1.15{col 46}{space 3}0.253{col 54}{space 4} -.024855{col 67}{space 3} .0065915
{txt}b_mortrat~05 {c |}{col 14}{res}{space 2} .0066825{col 26}{space 2} .0613182{col 37}{space 1}    0.11{col 46}{space 3}0.913{col 54}{space 4}-.1143507{col 67}{space 3} .1277156
{txt}c_tf~_hc_hc2 {c |}{col 14}{res}{space 2}  .018995{col 26}{space 2} .0152454{col 37}{space 1}    1.25{col 46}{space 3}0.214{col 54}{space 4} -.011097{col 67}{space 3} .0490871
{txt}c_tfull_hc~l {c |}{col 14}{res}{space 2} .0107304{col 26}{space 2} .0192632{col 37}{space 1}    0.56{col 46}{space 3}0.578{col 54}{space 4}-.0272924{col 67}{space 3} .0487531
{txt}c_tfull_hc~s {c |}{col 14}{res}{space 2} .0165407{col 26}{space 2} .0200666{col 37}{space 1}    0.82{col 46}{space 3}0.411{col 54}{space 4}-.0230677{col 67}{space 3} .0561492
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2} .0582968{col 26}{space 2} .0449315{col 37}{space 1}    1.30{col 46}{space 3}0.196{col 54}{space 4}-.0303913{col 67}{space 3} .1469848
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2}-.0087666{col 26}{space 2} .0062538{col 37}{space 1}   -1.40{col 46}{space 3}0.163{col 54}{space 4}-.0211107{col 67}{space 3} .0035775
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2} .0290969{col 26}{space 2} .0169366{col 37}{space 1}    1.72{col 46}{space 3}0.088{col 54}{space 4}-.0043335{col 67}{space 3} .0625273
{txt}c_treatful.. {c |}{col 14}{res}{space 2}-.0097928{col 26}{space 2} .0192935{col 37}{space 1}   -0.51{col 46}{space 3}0.612{col 54}{space 4}-.0478753{col 67}{space 3} .0282898
{txt}c_treatful.. {c |}{col 14}{res}{space 2}-.0083882{col 26}{space 2} .0237699{col 37}{space 1}   -0.35{col 46}{space 3}0.725{col 54}{space 4}-.0553064{col 67}{space 3} .0385299
{txt}c_treatful.. {c |}{col 14}{res}{space 2}-.0194002{col 26}{space 2}  .025953{col 37}{space 1}   -0.75{col 46}{space 3}0.456{col 54}{space 4}-.0706276{col 67}{space 3} .0318272
{txt}c_treatful.. {c |}{col 14}{res}{space 2}-.1716959{col 26}{space 2} .0842312{col 37}{space 1}   -2.04{col 46}{space 3}0.043{col 54}{space 4}-.3379559{col 67}{space 3} -.005436
{txt}c_treatful.. {c |}{col 14}{res}{space 2}-.0046442{col 26}{space 2} .0079791{col 37}{space 1}   -0.58{col 46}{space 3}0.561{col 54}{space 4}-.0203938{col 67}{space 3} .0111053
{txt}c_treatful.. {c |}{col 14}{res}{space 2}-.0108066{col 26}{space 2}  .026202{col 37}{space 1}   -0.41{col 46}{space 3}0.681{col 54}{space 4}-.0625254{col 67}{space 3} .0409122
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} .0632389{col 26}{space 2} .0063344{col 37}{space 1}    9.98{col 46}{space 3}0.000{col 54}{space 4} .0507357{col 67}{space 3} .0757422
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}.                 
.                 
.         *****************************
.         * Added later: No Cov * Int *
.         *****************************
.         
.         * We define the control variable
.         
.         eststo clear
{txt}
{com}.         
.         local var treatfull
{txt}
{com}.         
.         foreach x in `indices' {c -(}
{txt}  2{com}.                 areg  e_`x' `var' b_`x' b_`x'_d `e_controls_tfull' , cl(hc_id) robust a(district)
{txt}  3{com}.                 local n_nocovint_`x' = string(`e(N)',"%9.0fc")
{txt}  4{com}.                 local b_nocovint_`x' = string(_b[treatfull],"%9.3fc")
{txt}  5{com}.                 local se_nocovint_`x' =string(_se[treatfull],"%9.3fc")
{txt}  6{com}.                 local p_nocovint_`x' = (2 * ttail(e(df_r), abs(_b[treatfull]/_se[treatfull])))
{txt}  7{com}.                         
.                 if `p_nocovint_`x'' <= 0.1 & `p_nocovint_`x'' > 0.05{c -(}
{txt}  8{com}.                         local b_nocovint_`x' `b_nocovint_`x''*
{txt}  9{com}.                 {c )-}
{txt} 10{com}.         
.                 if `p_nocovint_`x'' <= 0.05 & `p_nocovint_`x'' > 0.01{c -(}
{txt} 11{com}.                         local b_nocovint_`x' `b_nocovint_`x''**
{txt} 12{com}.                 {c )-}
{txt} 13{com}.                 
.                 if `p_nocovint_`x'' <= 0.01 & `p_nocovint_`x'' > 0 {c -(}
{txt} 14{com}.                         local b_nocovint_`x' `b_nocovint_`x''***
{txt} 15{com}.                 {c )-}
{txt} 16{com}.                 
.                 local csb_nocovint_`x' = string(_b[_cons],"%9.3fc")
{txt} 17{com}.                 local csse_nocovint_`x' =string(_se[_cons],"%9.3fc")
{txt} 18{com}.                 local p_nocovint_`x' = (2 * ttail(e(df_r), abs(_b[_cons]/_se[_cons])))
{txt} 19{com}.                         
.                 if `p_nocovint_`x'' <= 0.1 & `p_nocovint_`x'' > 0.05{c -(}
{txt} 20{com}.                         local csb_nofe_`x' `csb_nocovint_`x''*
{txt} 21{com}.                 {c )-}
{txt} 22{com}.         
.                 if `p_nocovint_`x'' <= 0.05 & `p_nocovint_`x'' > 0.01{c -(}
{txt} 23{com}.                         local csb_nocovint_`x' `csb_nocovint_`x''**
{txt} 24{com}.                 {c )-}
{txt} 25{com}.                 
.                 if `p_nocovint_`x'' <= 0.01 & `p_nocovint_`x'' > 0 {c -(}
{txt} 26{com}.                         local csb_nocovint_`x' `csb_nocovint_`x''***
{txt} 27{com}.                 {c )-}
{txt} 28{com}.                 
.                 {c )-}
{txt}note: b_urate_z_d omitted because of collinearity
{res}
{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}     7,288
{txt}{col 49}F({res}   8{txt},{res}    186{txt}){col 67}= {res}    101.14
{txt}{col 49}Prob > F{col 67}= {res}    0.0000
{txt}{col 49}R-squared{col 67}= {res}    0.2301
{txt}{col 49}Adj R-squared{col 67}= {res}    0.2277
{txt}{col 49}Root MSE{col 67}= {res}    0.6612

{txt}{ralign 78:(Std. Err. adjusted for {res:187} clusters in hc_id)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}   e_urate_z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2} .0272817{col 26}{space 2} .0218303{col 37}{space 1}    1.25{col 46}{space 3}0.213{col 54}{space 4}-.0157851{col 67}{space 3} .0703486
{txt}{space 3}b_urate_z {c |}{col 14}{res}{space 2} .3545533{col 26}{space 2} .0146561{col 37}{space 1}   24.19{col 46}{space 3}0.000{col 54}{space 4} .3256398{col 67}{space 3} .3834667
{txt}{space 1}b_urate_z_d {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 1}c_tfull_hc2 {c |}{col 14}{res}{space 2} .0150338{col 26}{space 2} .0288718{col 37}{space 1}    0.52{col 46}{space 3}0.603{col 54}{space 4}-.0419245{col 67}{space 3}  .071992
{txt}c_tfull_b_~l {c |}{col 14}{res}{space 2} .0237715{col 26}{space 2}  .033878{col 37}{space 1}    0.70{col 46}{space 3}0.484{col 54}{space 4}-.0430629{col 67}{space 3}  .090606
{txt}c_tfull_b_~s {c |}{col 14}{res}{space 2} .0295139{col 26}{space 2} .0434455{col 37}{space 1}    0.68{col 46}{space 3}0.498{col 54}{space 4}-.0561953{col 67}{space 3} .1152232
{txt}c_tfull_b_~d {c |}{col 14}{res}{space 2} .1472312{col 26}{space 2} .0420304{col 37}{space 1}    3.50{col 46}{space 3}0.001{col 54}{space 4} .0643136{col 67}{space 3} .2301488
{txt}c_tfull_ed~r {c |}{col 14}{res}{space 2}-.0114403{col 26}{space 2} .0021229{col 37}{space 1}   -5.39{col 46}{space 3}0.000{col 54}{space 4}-.0156284{col 67}{space 3}-.0072523
{txt}c_tfull_b_~x {c |}{col 14}{res}{space 2}-.0444239{col 26}{space 2} .0098167{col 37}{space 1}   -4.53{col 46}{space 3}0.000{col 54}{space 4}-.0637903{col 67}{space 3}-.0250575
{txt}{space 7}_cons {c |}{col 14}{res}{space 2}-.0199136{col 26}{space 2} .0156365{col 37}{space 1}   -1.27{col 46}{space 3}0.204{col 54}{space 4}-.0507613{col 67}{space 3} .0109341
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)
note: b_treatqual_z_d omitted because of collinearity
{res}
{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}     7,288
{txt}{col 49}F({res}   8{txt},{res}    186{txt}){col 67}= {res}      6.45
{txt}{col 49}Prob > F{col 67}= {res}    0.0000
{txt}{col 49}R-squared{col 67}= {res}    0.0978
{txt}{col 49}Adj R-squared{col 67}= {res}    0.0950
{txt}{col 49}Root MSE{col 67}= {res}    0.3521

{txt}{ralign 78:(Std. Err. adjusted for {res:187} clusters in hc_id)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}e_treatq~l_z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2} .0702541{col 26}{space 2} .0263569{col 37}{space 1}    2.67{col 46}{space 3}0.008{col 54}{space 4} .0182572{col 67}{space 3}  .122251
{txt}b_treatq~l_z {c |}{col 14}{res}{space 2} .0975202{col 26}{space 2} .0201453{col 37}{space 1}    4.84{col 46}{space 3}0.000{col 54}{space 4} .0577777{col 67}{space 3} .1372628
{txt}b_trea~l_z_d {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 1}c_tfull_hc2 {c |}{col 14}{res}{space 2}-.0364872{col 26}{space 2} .0302334{col 37}{space 1}   -1.21{col 46}{space 3}0.229{col 54}{space 4}-.0961317{col 67}{space 3} .0231573
{txt}c_tfull_b_~l {c |}{col 14}{res}{space 2} .0347704{col 26}{space 2} .0357458{col 37}{space 1}    0.97{col 46}{space 3}0.332{col 54}{space 4}-.0357489{col 67}{space 3} .1052897
{txt}c_tfull_b_~s {c |}{col 14}{res}{space 2} .0245656{col 26}{space 2}  .041264{col 37}{space 1}    0.60{col 46}{space 3}0.552{col 54}{space 4}-.0568401{col 67}{space 3} .1059713
{txt}c_tfull_b_~d {c |}{col 14}{res}{space 2} .0272133{col 26}{space 2} .0158992{col 37}{space 1}    1.71{col 46}{space 3}0.089{col 54}{space 4}-.0041525{col 67}{space 3} .0585792
{txt}c_tfull_ed~r {c |}{col 14}{res}{space 2}-.0016339{col 26}{space 2} .0011181{col 37}{space 1}   -1.46{col 46}{space 3}0.146{col 54}{space 4}-.0038397{col 67}{space 3} .0005718
{txt}c_tfull_b_~x {c |}{col 14}{res}{space 2}-.0095979{col 26}{space 2} .0053077{col 37}{space 1}   -1.81{col 46}{space 3}0.072{col 54}{space 4} -.020069{col 67}{space 3} .0008732
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} .0005086{col 26}{space 2}  .020236{col 37}{space 1}    0.03{col 46}{space 3}0.980{col 54}{space 4}-.0394129{col 67}{space 3} .0404301
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)
note: b_treatqualalt_z_d omitted because of collinearity
{res}
{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}     7,288
{txt}{col 49}F({res}   8{txt},{res}    186{txt}){col 67}= {res}      7.46
{txt}{col 49}Prob > F{col 67}= {res}    0.0000
{txt}{col 49}R-squared{col 67}= {res}    0.0329
{txt}{col 49}Adj R-squared{col 67}= {res}    0.0299
{txt}{col 49}Root MSE{col 67}= {res}    0.4745

{txt}{ralign 78:(Std. Err. adjusted for {res:187} clusters in hc_id)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}e_treatq~t_z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2} .0382267{col 26}{space 2}  .018698{col 37}{space 1}    2.04{col 46}{space 3}0.042{col 54}{space 4} .0013392{col 67}{space 3} .0751142
{txt}b_treatq~t_z {c |}{col 14}{res}{space 2} .0781575{col 26}{space 2} .0178075{col 37}{space 1}    4.39{col 46}{space 3}0.000{col 54}{space 4} .0430268{col 67}{space 3} .1132882
{txt}b_trea~t_z_d {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 1}c_tfull_hc2 {c |}{col 14}{res}{space 2} -.045737{col 26}{space 2} .0234368{col 37}{space 1}   -1.95{col 46}{space 3}0.052{col 54}{space 4} -.091973{col 67}{space 3} .0004991
{txt}c_tfull_b_~l {c |}{col 14}{res}{space 2} .0386956{col 26}{space 2} .0285943{col 37}{space 1}    1.35{col 46}{space 3}0.178{col 54}{space 4}-.0177153{col 67}{space 3} .0951065
{txt}c_tfull_b_~s {c |}{col 14}{res}{space 2} .0071755{col 26}{space 2}  .030292{col 37}{space 1}    0.24{col 46}{space 3}0.813{col 54}{space 4}-.0525846{col 67}{space 3} .0669356
{txt}c_tfull_b_~d {c |}{col 14}{res}{space 2} .0267263{col 26}{space 2} .0200615{col 37}{space 1}    1.33{col 46}{space 3}0.184{col 54}{space 4}-.0128509{col 67}{space 3} .0663036
{txt}c_tfull_ed~r {c |}{col 14}{res}{space 2}-.0005571{col 26}{space 2} .0014548{col 37}{space 1}   -0.38{col 46}{space 3}0.702{col 54}{space 4}-.0034271{col 67}{space 3} .0023129
{txt}c_tfull_b_~x {c |}{col 14}{res}{space 2} -.023925{col 26}{space 2} .0069231{col 37}{space 1}   -3.46{col 46}{space 3}0.001{col 54}{space 4}-.0375828{col 67}{space 3}-.0102671
{txt}{space 7}_cons {c |}{col 14}{res}{space 2}-.0021776{col 26}{space 2} .0145951{col 37}{space 1}   -0.15{col 46}{space 3}0.882{col 54}{space 4}-.0309709{col 67}{space 3} .0266157
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)
note: b_patsat_z_d omitted because of collinearity
{res}
{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}     7,288
{txt}{col 49}F({res}   8{txt},{res}    186{txt}){col 67}= {res}     14.25
{txt}{col 49}Prob > F{col 67}= {res}    0.0000
{txt}{col 49}R-squared{col 67}= {res}    0.0394
{txt}{col 49}Adj R-squared{col 67}= {res}    0.0363
{txt}{col 49}Root MSE{col 67}= {res}    0.5869

{txt}{ralign 78:(Std. Err. adjusted for {res:187} clusters in hc_id)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}  e_patsat_z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2} .0766279{col 26}{space 2} .0242478{col 37}{space 1}    3.16{col 46}{space 3}0.002{col 54}{space 4} .0287919{col 67}{space 3}  .124464
{txt}{space 2}b_patsat_z {c |}{col 14}{res}{space 2} .1391849{col 26}{space 2} .0151653{col 37}{space 1}    9.18{col 46}{space 3}0.000{col 54}{space 4} .1092669{col 67}{space 3}  .169103
{txt}b_patsat_z_d {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 1}c_tfull_hc2 {c |}{col 14}{res}{space 2}-.0559382{col 26}{space 2} .0292099{col 37}{space 1}   -1.92{col 46}{space 3}0.057{col 54}{space 4}-.1135635{col 67}{space 3} .0016871
{txt}c_tfull_b_~l {c |}{col 14}{res}{space 2} .0029132{col 26}{space 2}  .038816{col 37}{space 1}    0.08{col 46}{space 3}0.940{col 54}{space 4}-.0736631{col 67}{space 3} .0794894
{txt}c_tfull_b_~s {c |}{col 14}{res}{space 2}  .014223{col 26}{space 2} .0540938{col 37}{space 1}    0.26{col 46}{space 3}0.793{col 54}{space 4}-.0924932{col 67}{space 3} .1209392
{txt}c_tfull_b_~d {c |}{col 14}{res}{space 2}-.0090924{col 26}{space 2} .0266171{col 37}{space 1}   -0.34{col 46}{space 3}0.733{col 54}{space 4}-.0616027{col 67}{space 3} .0434179
{txt}c_tfull_ed~r {c |}{col 14}{res}{space 2} .0031544{col 26}{space 2} .0018384{col 37}{space 1}    1.72{col 46}{space 3}0.088{col 54}{space 4}-.0004724{col 67}{space 3} .0067812
{txt}c_tfull_b_~x {c |}{col 14}{res}{space 2} .0006674{col 26}{space 2} .0074343{col 37}{space 1}    0.09{col 46}{space 3}0.929{col 54}{space 4} -.013999{col 67}{space 3} .0153338
{txt}{space 7}_cons {c |}{col 14}{res}{space 2}-.0020586{col 26}{space 2} .0179785{col 37}{space 1}   -0.11{col 46}{space 3}0.909{col 54}{space 4}-.0375267{col 67}{space 3} .0334095
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)
note: b_commtg_z_d omitted because of collinearity
{res}
{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}     7,288
{txt}{col 49}F({res}   8{txt},{res}    186{txt}){col 67}= {res}     11.69
{txt}{col 49}Prob > F{col 67}= {res}    0.0000
{txt}{col 49}R-squared{col 67}= {res}    0.0961
{txt}{col 49}Adj R-squared{col 67}= {res}    0.0933
{txt}{col 49}Root MSE{col 67}= {res}    0.5588

{txt}{ralign 78:(Std. Err. adjusted for {res:187} clusters in hc_id)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}  e_commtg_z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2} .0055923{col 26}{space 2} .0280309{col 37}{space 1}    0.20{col 46}{space 3}0.842{col 54}{space 4}-.0497072{col 67}{space 3} .0608917
{txt}{space 2}b_commtg_z {c |}{col 14}{res}{space 2} .0757774{col 26}{space 2} .0135575{col 37}{space 1}    5.59{col 46}{space 3}0.000{col 54}{space 4} .0490312{col 67}{space 3} .1025235
{txt}b_commtg_z_d {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 1}c_tfull_hc2 {c |}{col 14}{res}{space 2} .1239928{col 26}{space 2} .0320277{col 37}{space 1}    3.87{col 46}{space 3}0.000{col 54}{space 4} .0608085{col 67}{space 3} .1871772
{txt}c_tfull_b_~l {c |}{col 14}{res}{space 2} .0852744{col 26}{space 2} .0385592{col 37}{space 1}    2.21{col 46}{space 3}0.028{col 54}{space 4} .0092047{col 67}{space 3} .1613441
{txt}c_tfull_b_~s {c |}{col 14}{res}{space 2} .0054989{col 26}{space 2}    .0554{col 37}{space 1}    0.10{col 46}{space 3}0.921{col 54}{space 4}-.1037943{col 67}{space 3} .1147921
{txt}c_tfull_b_~d {c |}{col 14}{res}{space 2}   .09122{col 26}{space 2}  .032878{col 37}{space 1}    2.77{col 46}{space 3}0.006{col 54}{space 4} .0263583{col 67}{space 3} .1560817
{txt}c_tfull_ed~r {c |}{col 14}{res}{space 2} .0045883{col 26}{space 2} .0016172{col 37}{space 1}    2.84{col 46}{space 3}0.005{col 54}{space 4}  .001398{col 67}{space 3} .0077787
{txt}c_tfull_b_~x {c |}{col 14}{res}{space 2} .0275659{col 26}{space 2} .0086925{col 37}{space 1}    3.17{col 46}{space 3}0.002{col 54}{space 4} .0104174{col 67}{space 3} .0447144
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} .0035564{col 26}{space 2} .0191754{col 37}{space 1}    0.19{col 46}{space 3}0.853{col 54}{space 4}-.0342728{col 67}{space 3} .0413856
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{com}.         
.                 
.         foreach x in `indices_hc' {c -(}
{txt}  2{com}.                 areg  e_`x' `var' b_`x' `e_controls_tfull_hc' if uniquehc == 1, robust a(district)
{txt}  3{com}.                 local n_nocovint_`x' = string(`e(N)',"%9.0fc")
{txt}  4{com}.                 local b_nocovint_`x' = string(_b[treatfull],"%9.3fc")
{txt}  5{com}.                 local se_nocovint_`x' =string(_se[treatfull],"%9.3fc")
{txt}  6{com}.                 local p_nocovint_`x' = (2 * ttail(e(df_r), abs(_b[treatfull]/_se[treatfull])))
{txt}  7{com}.                         
.                 if `p_nocovint_`x'' <= 0.1 & `p_nocovint_`x'' > 0.05{c -(}
{txt}  8{com}.                         local b_nocovint_`x' `b_nocovint_`x''*
{txt}  9{com}.                 {c )-}
{txt} 10{com}.         
.                 if `p_nocovint_`x'' <= 0.05 & `p_nocovint_`x'' > 0.01{c -(}
{txt} 11{com}.                         local b_nocovint_`x' `b_nocovint_`x''**
{txt} 12{com}.                 {c )-}
{txt} 13{com}.                 
.                 if `p_nocovint_`x'' <= 0.01 & `p_nocovint_`x'' > 0 {c -(}
{txt} 14{com}.                         local b_nocovint_`x' `b_nocovint_`x''***
{txt} 15{com}.                 {c )-}
{txt} 16{com}.                 
.                 local csb_nocovint_`x' = string(_b[_cons],"%9.3fc")
{txt} 17{com}.                 local csse_nocovint_`x' =string(_se[_cons],"%9.3fc")
{txt} 18{com}.                 local p_nocovint_`x' = (2 * ttail(e(df_r), abs(_b[_cons]/_se[_cons])))
{txt} 19{com}.                         
.                 if `p_nocovint_`x'' <= 0.1 & `p_nocovint_`x'' > 0.05{c -(}
{txt} 20{com}.                         local csb_nocovint_`x' `csb_nocovint_`x''*
{txt} 21{com}.                 {c )-}
{txt} 22{com}.         
.                 if `p_nocovint_`x'' <= 0.05 & `p_nocovint_`x'' > 0.01{c -(}
{txt} 23{com}.                         local csb_nocovint_`x' `csb_nocovint_`x''**
{txt} 24{com}.                 {c )-}
{txt} 25{com}.                 
.                 if `p_nocovint_`x'' <= 0.01 & `p_nocovint_`x'' > 0 {c -(}
{txt} 26{com}.                         local csb_nocovint_`x' `csb_nocovint_`x''***
{txt} 27{com}.                 {c )-}
{txt} 28{com}.                 
.                 {c )-}
{res}
{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}       187
{txt}{col 49}F({res}   8{txt},{res}    163{txt}){col 67}= {res}      1.07
{txt}{col 49}Prob > F{col 67}= {res}    0.3833
{txt}{col 49}R-squared{col 67}= {res}    0.0942
{txt}{col 49}Adj R-squared{col 67}= {res}   -0.0336
{txt}{col 49}Root MSE{col 67}= {res}    0.7003

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}e_h_ctzpre~z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2} -.134271{col 26}{space 2} .1034163{col 37}{space 1}   -1.30{col 46}{space 3}0.196{col 54}{space 4}-.3384793{col 67}{space 3} .0699373
{txt}b_h_ctzpre~z {c |}{col 14}{res}{space 2} .0079571{col 26}{space 2} .0641321{col 37}{space 1}    0.12{col 46}{space 3}0.901{col 54}{space 4}-.1186797{col 67}{space 3} .1345939
{txt}c_tf~_hc_hc2 {c |}{col 14}{res}{space 2}-.0584948{col 26}{space 2} .1591786{col 37}{space 1}   -0.37{col 46}{space 3}0.714{col 54}{space 4}-.3728128{col 67}{space 3} .2558233
{txt}c_tfull_hc~l {c |}{col 14}{res}{space 2} .0323762{col 26}{space 2} .1552813{col 37}{space 1}    0.21{col 46}{space 3}0.835{col 54}{space 4}-.2742462{col 67}{space 3} .3389986
{txt}c_tfull_hc~s {c |}{col 14}{res}{space 2} .3169935{col 26}{space 2} .1844047{col 37}{space 1}    1.72{col 46}{space 3}0.088{col 54}{space 4}-.0471364{col 67}{space 3} .6811235
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2}-.3642223{col 26}{space 2} .5401904{col 37}{space 1}   -0.67{col 46}{space 3}0.501{col 54}{space 4}-1.430896{col 67}{space 3}  .702451
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2} .0153474{col 26}{space 2} .0701729{col 37}{space 1}    0.22{col 46}{space 3}0.827{col 54}{space 4}-.1232177{col 67}{space 3} .1539126
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2}-.1248174{col 26}{space 2}  .212503{col 37}{space 1}   -0.59{col 46}{space 3}0.558{col 54}{space 4} -.544431{col 67}{space 3} .2947962
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} .0132367{col 26}{space 2}  .067043{col 37}{space 1}    0.20{col 46}{space 3}0.844{col 54}{space 4} -.119148{col 67}{space 3} .1456214
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)
{res}
{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}       187
{txt}{col 49}F({res}   8{txt},{res}    163{txt}){col 67}= {res}      0.82
{txt}{col 49}Prob > F{col 67}= {res}    0.5849
{txt}{col 49}R-squared{col 67}= {res}    0.1631
{txt}{col 49}Adj R-squared{col 67}= {res}    0.0450
{txt}{col 49}Root MSE{col 67}= {res}    0.0535

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}e_mortrat~05{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2}-.0102805{col 26}{space 2} .0079077{col 37}{space 1}   -1.30{col 46}{space 3}0.195{col 54}{space 4}-.0258953{col 67}{space 3} .0053342
{txt}b_mortrat~05 {c |}{col 14}{res}{space 2} .0712443{col 26}{space 2} .0625629{col 37}{space 1}    1.14{col 46}{space 3}0.256{col 54}{space 4} -.052294{col 67}{space 3} .1947826
{txt}c_tf~_hc_hc2 {c |}{col 14}{res}{space 2} .0049443{col 26}{space 2} .0115866{col 37}{space 1}    0.43{col 46}{space 3}0.670{col 54}{space 4} -.017935{col 67}{space 3} .0278236
{txt}c_tfull_hc~l {c |}{col 14}{res}{space 2} .0021414{col 26}{space 2} .0116084{col 37}{space 1}    0.18{col 46}{space 3}0.854{col 54}{space 4}-.0207808{col 67}{space 3} .0250636
{txt}c_tfull_hc~s {c |}{col 14}{res}{space 2}-.0060544{col 26}{space 2} .0168002{col 37}{space 1}   -0.36{col 46}{space 3}0.719{col 54}{space 4}-.0392284{col 67}{space 3} .0271197
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2}-.0366629{col 26}{space 2} .0456674{col 37}{space 1}   -0.80{col 46}{space 3}0.423{col 54}{space 4}-.1268389{col 67}{space 3}  .053513
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2} -.008413{col 26}{space 2} .0053887{col 37}{space 1}   -1.56{col 46}{space 3}0.120{col 54}{space 4}-.0190536{col 67}{space 3} .0022277
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2} .0133283{col 26}{space 2} .0175399{col 37}{space 1}    0.76{col 46}{space 3}0.448{col 54}{space 4}-.0213064{col 67}{space 3}  .047963
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} .0606044{col 26}{space 2} .0062373{col 37}{space 1}    9.72{col 46}{space 3}0.000{col 54}{space 4} .0482881{col 67}{space 3} .0729207
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{com}.                 
.         *************************
.         * Agregated at HC level *
.         *************************
.         
.         local indices_hc mortrate_05 h_ctzpressure_z
{txt}
{com}.         
.         * Our first step is to create the mean at HC level
.         
.         foreach x of local indices {c -(}
{txt}  2{com}.                 byso hc_id : egen mean_e_`x' = mean(e_`x')
{txt}  3{com}.                 byso hc_id : egen mean_b_`x' = mean(b_`x')
{txt}  4{com}.                 byso hc_id : egen mean_b_`x'_d = mean(b_`x'_d)
{txt}  5{com}.                 {c )-}
{txt}
{com}.                 
.         foreach x of local indices_hc {c -(}
{txt}  2{com}.                 byso hc_id : egen mean_e_`x' = mean(e_`x')
{txt}  3{com}.                 byso hc_id : egen mean_b_`x' = mean(b_`x')
{txt}  4{com}.                 {c )-}
{txt}
{com}.         
.         
.         eststo clear
{txt}
{com}.         
.         local var treatfull
{txt}
{com}.         
.         foreach x in `indices' {c -(}
{txt}  2{com}.                 areg  mean_e_`x' `var' mean_b_`x' mean_b_`x'_d `e_controls_tfull_hc' ``var'_hc_int_e_controls' if uniquehc == 1, robust a(district)
{txt}  3{com}.                 local n_mean_`x' = string(`e(N)',"%9.0fc")
{txt}  4{com}.                 local b_mean_`x' = string(_b[treatfull],"%9.3fc")
{txt}  5{com}.                 local se_mean_`x' =string(_se[treatfull],"%9.3fc")
{txt}  6{com}.                 local p_mean_`x' = (2 * ttail(e(df_r), abs(_b[treatfull]/_se[treatfull])))
{txt}  7{com}.                         
.                 if `p_mean_`x'' <= 0.1 & `p_mean_`x'' > 0.05{c -(}
{txt}  8{com}.                         local b_mean_`x' `b_mean_`x''*
{txt}  9{com}.                 {c )-}
{txt} 10{com}.         
.                 if `p_mean_`x'' <= 0.05 & `p_mean_`x'' > 0.01{c -(}
{txt} 11{com}.                         local b_mean_`x' `b_mean_`x''**
{txt} 12{com}.                 {c )-}
{txt} 13{com}.                 
.                 if `p_mean_`x'' <= 0.01 & `p_mean_`x'' > 0 {c -(}
{txt} 14{com}.                         local b_mean_`x' `b_mean_`x''***
{txt} 15{com}.                 {c )-}
{txt} 16{com}.                 
.                 local csb_mean_`x' = string(_b[_cons],"%9.3fc")
{txt} 17{com}.                 local csse_mean_`x' =string(_se[_cons],"%9.3fc")
{txt} 18{com}.                 local p_mean_`x' = (2 * ttail(e(df_r), abs(_b[_cons]/_se[_cons])))
{txt} 19{com}.                         
.                 if `p_mean_`x'' <= 0.1 & `p_mean_`x'' > 0.05{c -(}
{txt} 20{com}.                         local csb_mean_`x' `csb_mean_`x''*
{txt} 21{com}.                 {c )-}
{txt} 22{com}.         
.                 if `p_mean_`x'' <= 0.05 & `p_mean_`x'' > 0.01{c -(}
{txt} 23{com}.                         local csb_mean_`x' `csb_mean_`x''**
{txt} 24{com}.                 {c )-}
{txt} 25{com}.                 
.                 if `p_mean_`x'' <= 0.01 & `p_mean_`x'' > 0 {c -(}
{txt} 26{com}.                         local csb_mean_`x' `csb_mean_`x''***
{txt} 27{com}.                 {c )-}
{txt} 28{com}.                 
.                 {c )-}
{p 0 6 2}{txt}note: mean_b_urate_z_d omitted because of collinearity{p_end}
{res}
{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}       187
{txt}{col 49}F({res}  14{txt},{res}    157{txt}){col 67}= {res}     30.85
{txt}{col 49}Prob > F{col 67}= {res}    0.0000
{txt}{col 49}R-squared{col 67}= {res}    0.8360
{txt}{col 49}Adj R-squared{col 67}= {res}    0.8057
{txt}{col 49}Root MSE{col 67}= {res}    0.1407

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}mean_e_ura~z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2} .0352303{col 26}{space 2} .0210735{col 37}{space 1}    1.67{col 46}{space 3}0.097{col 54}{space 4}-.0063937{col 67}{space 3} .0768544
{txt}mean_b_ura~z {c |}{col 14}{res}{space 2}  .622798{col 26}{space 2} .0820914{col 37}{space 1}    7.59{col 46}{space 3}0.000{col 54}{space 4}  .460652{col 67}{space 3}  .784944
{txt}mean_b_ura~d {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
c_tf~_hc_hc2 {c |}{col 14}{res}{space 2}-.0035434{col 26}{space 2} .0448981{col 37}{space 1}   -0.08{col 46}{space 3}0.937{col 54}{space 4}-.0922256{col 67}{space 3} .0851388
{txt}c_tfull_hc~l {c |}{col 14}{res}{space 2}-.0230829{col 26}{space 2} .0416361{col 37}{space 1}   -0.55{col 46}{space 3}0.580{col 54}{space 4}-.1053221{col 67}{space 3} .0591562
{txt}c_tfull_hc~s {c |}{col 14}{res}{space 2} .0616173{col 26}{space 2} .0419928{col 37}{space 1}    1.47{col 46}{space 3}0.144{col 54}{space 4}-.0213265{col 67}{space 3}  .144561
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2} .2892698{col 26}{space 2} .1470005{col 37}{space 1}    1.97{col 46}{space 3}0.051{col 54}{space 4} -.001084{col 67}{space 3} .5796236
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2}-.0181296{col 26}{space 2} .0140157{col 37}{space 1}   -1.29{col 46}{space 3}0.198{col 54}{space 4}-.0458132{col 67}{space 3} .0095539
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2} -.067435{col 26}{space 2} .0471574{col 37}{space 1}   -1.43{col 46}{space 3}0.155{col 54}{space 4}-.1605797{col 67}{space 3} .0257097
{txt}c_treatful.. {c |}{col 14}{res}{space 2}-.0143348{col 26}{space 2} .0594913{col 37}{space 1}   -0.24{col 46}{space 3}0.810{col 54}{space 4}-.1318414{col 67}{space 3} .1031718
{txt}c_treatful.. {c |}{col 14}{res}{space 2}-.0158008{col 26}{space 2} .0552085{col 37}{space 1}   -0.29{col 46}{space 3}0.775{col 54}{space 4} -.124848{col 67}{space 3} .0932463
{txt}c_treatful.. {c |}{col 14}{res}{space 2}-.0970315{col 26}{space 2} .0755919{col 37}{space 1}   -1.28{col 46}{space 3}0.201{col 54}{space 4}-.2463398{col 67}{space 3} .0522769
{txt}c_treatful.. {c |}{col 14}{res}{space 2}-.0563572{col 26}{space 2} .2350139{col 37}{space 1}   -0.24{col 46}{space 3}0.811{col 54}{space 4}-.5205542{col 67}{space 3} .4078398
{txt}c_treatful.. {c |}{col 14}{res}{space 2} .0091734{col 26}{space 2} .0228886{col 37}{space 1}    0.40{col 46}{space 3}0.689{col 54}{space 4} -.036036{col 67}{space 3} .0543828
{txt}c_treatful.. {c |}{col 14}{res}{space 2}-.0393798{col 26}{space 2} .0595993{col 37}{space 1}   -0.66{col 46}{space 3}0.510{col 54}{space 4}-.1570996{col 67}{space 3}   .07834
{txt}{space 7}_cons {c |}{col 14}{res}{space 2}-.0142743{col 26}{space 2} .0142228{col 37}{space 1}   -1.00{col 46}{space 3}0.317{col 54}{space 4}-.0423671{col 67}{space 3} .0138184
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)
{p 0 6 2}note: mean_b_treatqual_z_d omitted because of collinearity{p_end}
{res}
{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}       187
{txt}{col 49}F({res}  14{txt},{res}    157{txt}){col 67}= {res}      2.63
{txt}{col 49}Prob > F{col 67}= {res}    0.0019
{txt}{col 49}R-squared{col 67}= {res}    0.3473
{txt}{col 49}Adj R-squared{col 67}= {res}    0.2268
{txt}{col 49}Root MSE{col 67}= {res}    0.1846

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}mean_e_t~l_z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2} .0619094{col 26}{space 2} .0273422{col 37}{space 1}    2.26{col 46}{space 3}0.025{col 54}{space 4} .0079033{col 67}{space 3} .1159154
{txt}mean_b_t~l_z {c |}{col 14}{res}{space 2} .1667811{col 26}{space 2} .0588572{col 37}{space 1}    2.83{col 46}{space 3}0.005{col 54}{space 4}  .050527{col 67}{space 3} .2830352
{txt}mean_b~l_z_d {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
c_tf~_hc_hc2 {c |}{col 14}{res}{space 2}-.0871847{col 26}{space 2} .0567527{col 37}{space 1}   -1.54{col 46}{space 3}0.126{col 54}{space 4}-.1992821{col 67}{space 3} .0249127
{txt}c_tfull_hc~l {c |}{col 14}{res}{space 2}-.0229429{col 26}{space 2} .0628775{col 37}{space 1}   -0.36{col 46}{space 3}0.716{col 54}{space 4}-.1471378{col 67}{space 3} .1012521
{txt}c_tfull_hc~s {c |}{col 14}{res}{space 2} .0725563{col 26}{space 2} .0639961{col 37}{space 1}    1.13{col 46}{space 3}0.259{col 54}{space 4} -.053848{col 67}{space 3} .1989606
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2} .0310302{col 26}{space 2} .1805456{col 37}{space 1}    0.17{col 46}{space 3}0.864{col 54}{space 4}-.3255816{col 67}{space 3}  .387642
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2}-.0384685{col 26}{space 2} .0229147{col 37}{space 1}   -1.68{col 46}{space 3}0.095{col 54}{space 4}-.0837293{col 67}{space 3} .0067922
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2} .0673874{col 26}{space 2} .0681681{col 37}{space 1}    0.99{col 46}{space 3}0.324{col 54}{space 4}-.0672576{col 67}{space 3} .2020323
{txt}c_treatful.. {c |}{col 14}{res}{space 2} .0516708{col 26}{space 2} .0734302{col 37}{space 1}    0.70{col 46}{space 3}0.483{col 54}{space 4}-.0933679{col 67}{space 3} .1967094
{txt}c_treatful.. {c |}{col 14}{res}{space 2} .0664597{col 26}{space 2} .0722254{col 37}{space 1}    0.92{col 46}{space 3}0.359{col 54}{space 4}-.0761991{col 67}{space 3} .2091184
{txt}c_treatful.. {c |}{col 14}{res}{space 2}-.1618917{col 26}{space 2} .0864578{col 37}{space 1}   -1.87{col 46}{space 3}0.063{col 54}{space 4}-.3326622{col 67}{space 3} .0088787
{txt}c_treatful.. {c |}{col 14}{res}{space 2} .3694813{col 26}{space 2} .2699368{col 37}{space 1}    1.37{col 46}{space 3}0.173{col 54}{space 4}-.1636949{col 67}{space 3} .9026575
{txt}c_treatful.. {c |}{col 14}{res}{space 2}-.0035177{col 26}{space 2} .0276189{col 37}{space 1}   -0.13{col 46}{space 3}0.899{col 54}{space 4}-.0580704{col 67}{space 3} .0510349
{txt}c_treatful.. {c |}{col 14}{res}{space 2}-.0446922{col 26}{space 2} .0809747{col 37}{space 1}   -0.55{col 46}{space 3}0.582{col 54}{space 4}-.2046326{col 67}{space 3} .1152483
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} .0018776{col 26}{space 2} .0214298{col 37}{space 1}    0.09{col 46}{space 3}0.930{col 54}{space 4}-.0404503{col 67}{space 3} .0442055
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)
{p 0 6 2}note: mean_b_treatqualalt_z_d omitted because of collinearity{p_end}
{res}
{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}       187
{txt}{col 49}F({res}  14{txt},{res}    157{txt}){col 67}= {res}      5.05
{txt}{col 49}Prob > F{col 67}= {res}    0.0000
{txt}{col 49}R-squared{col 67}= {res}    0.3791
{txt}{col 49}Adj R-squared{col 67}= {res}    0.2644
{txt}{col 49}Root MSE{col 67}= {res}    0.1301

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}mean_e_t~t_z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2} .0312552{col 26}{space 2} .0191056{col 37}{space 1}    1.64{col 46}{space 3}0.104{col 54}{space 4}-.0064819{col 67}{space 3} .0689923
{txt}mean_b_t~t_z {c |}{col 14}{res}{space 2}   .21208{col 26}{space 2} .0721856{col 37}{space 1}    2.94{col 46}{space 3}0.004{col 54}{space 4} .0694998{col 67}{space 3} .3546602
{txt}mean_~lt_z_d {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
c_tf~_hc_hc2 {c |}{col 14}{res}{space 2}-.1076518{col 26}{space 2} .0427137{col 37}{space 1}   -2.52{col 46}{space 3}0.013{col 54}{space 4}-.1920193{col 67}{space 3}-.0232842
{txt}c_tfull_hc~l {c |}{col 14}{res}{space 2} .0048726{col 26}{space 2} .0505354{col 37}{space 1}    0.10{col 46}{space 3}0.923{col 54}{space 4}-.0949444{col 67}{space 3} .1046896
{txt}c_tfull_hc~s {c |}{col 14}{res}{space 2}-.0013191{col 26}{space 2} .0436173{col 37}{space 1}   -0.03{col 46}{space 3}0.976{col 54}{space 4}-.0874714{col 67}{space 3} .0848333
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2}-.1417743{col 26}{space 2} .1292963{col 37}{space 1}   -1.10{col 46}{space 3}0.275{col 54}{space 4}-.3971589{col 67}{space 3} .1136104
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2}-.0010444{col 26}{space 2} .0160301{col 37}{space 1}   -0.07{col 46}{space 3}0.948{col 54}{space 4} -.032707{col 67}{space 3} .0306181
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2}-.1114263{col 26}{space 2} .0504449{col 37}{space 1}   -2.21{col 46}{space 3}0.029{col 54}{space 4}-.2110645{col 67}{space 3}-.0117881
{txt}c_treatful.. {c |}{col 14}{res}{space 2} .0796465{col 26}{space 2} .0509395{col 37}{space 1}    1.56{col 46}{space 3}0.120{col 54}{space 4}-.0209686{col 67}{space 3} .1802616
{txt}c_treatful.. {c |}{col 14}{res}{space 2} .0088031{col 26}{space 2} .0573742{col 37}{space 1}    0.15{col 46}{space 3}0.878{col 54}{space 4}-.1045218{col 67}{space 3} .1221279
{txt}c_treatful.. {c |}{col 14}{res}{space 2}-.0557685{col 26}{space 2} .0577705{col 37}{space 1}   -0.97{col 46}{space 3}0.336{col 54}{space 4}-.1698762{col 67}{space 3} .0583391
{txt}c_treatful.. {c |}{col 14}{res}{space 2} .4852424{col 26}{space 2} .2095873{col 37}{space 1}    2.32{col 46}{space 3}0.022{col 54}{space 4} .0712679{col 67}{space 3} .8992169
{txt}c_treatful.. {c |}{col 14}{res}{space 2}-.0177448{col 26}{space 2}  .020797{col 37}{space 1}   -0.85{col 46}{space 3}0.395{col 54}{space 4}-.0588229{col 67}{space 3} .0233332
{txt}c_treatful.. {c |}{col 14}{res}{space 2} .0571033{col 26}{space 2} .0602422{col 37}{space 1}    0.95{col 46}{space 3}0.345{col 54}{space 4}-.0618864{col 67}{space 3}  .176093
{txt}{space 7}_cons {c |}{col 14}{res}{space 2}-.0021983{col 26}{space 2} .0149326{col 37}{space 1}   -0.15{col 46}{space 3}0.883{col 54}{space 4}-.0316931{col 67}{space 3} .0272965
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)
{p 0 6 2}note: mean_b_patsat_z_d omitted because of collinearity{p_end}
{res}
{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}       187
{txt}{col 49}F({res}  14{txt},{res}    157{txt}){col 67}= {res}      4.56
{txt}{col 49}Prob > F{col 67}= {res}    0.0000
{txt}{col 49}R-squared{col 67}= {res}    0.2931
{txt}{col 49}Adj R-squared{col 67}= {res}    0.1626
{txt}{col 49}Root MSE{col 67}= {res}    0.1718

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}mean_e_pat~z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2} .0796139{col 26}{space 2} .0249259{col 37}{space 1}    3.19{col 46}{space 3}0.002{col 54}{space 4} .0303806{col 67}{space 3} .1288473
{txt}mean_b_pat~z {c |}{col 14}{res}{space 2} .2356882{col 26}{space 2}   .06744{col 37}{space 1}    3.49{col 46}{space 3}0.001{col 54}{space 4} .1024814{col 67}{space 3} .3688949
{txt}mean_b_pat~d {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
c_tf~_hc_hc2 {c |}{col 14}{res}{space 2} .0305043{col 26}{space 2} .0498947{col 37}{space 1}    0.61{col 46}{space 3}0.542{col 54}{space 4}-.0680472{col 67}{space 3} .1290558
{txt}c_tfull_hc~l {c |}{col 14}{res}{space 2} .1052143{col 26}{space 2} .0586165{col 37}{space 1}    1.79{col 46}{space 3}0.075{col 54}{space 4}-.0105645{col 67}{space 3}  .220993
{txt}c_tfull_hc~s {c |}{col 14}{res}{space 2} .0142339{col 26}{space 2} .0718606{col 37}{space 1}    0.20{col 46}{space 3}0.843{col 54}{space 4}-.1277044{col 67}{space 3} .1561722
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2} .0382249{col 26}{space 2} .2686179{col 37}{space 1}    0.14{col 46}{space 3}0.887{col 54}{space 4}-.4923464{col 67}{space 3} .5687961
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2} .0160004{col 26}{space 2} .0234615{col 37}{space 1}    0.68{col 46}{space 3}0.496{col 54}{space 4}-.0303405{col 67}{space 3} .0623414
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2} .0188004{col 26}{space 2}  .079227{col 37}{space 1}    0.24{col 46}{space 3}0.813{col 54}{space 4}-.1376879{col 67}{space 3} .1752886
{txt}c_treatful.. {c |}{col 14}{res}{space 2}-.1190484{col 26}{space 2}   .06376{col 37}{space 1}   -1.87{col 46}{space 3}0.064{col 54}{space 4}-.2449866{col 67}{space 3} .0068897
{txt}c_treatful.. {c |}{col 14}{res}{space 2}  -.18688{col 26}{space 2}  .069883{col 37}{space 1}   -2.67{col 46}{space 3}0.008{col 54}{space 4}-.3249121{col 67}{space 3}-.0488479
{txt}c_treatful.. {c |}{col 14}{res}{space 2}  .011112{col 26}{space 2} .0884759{col 37}{space 1}    0.13{col 46}{space 3}0.900{col 54}{space 4}-.1636445{col 67}{space 3} .1858686
{txt}c_treatful.. {c |}{col 14}{res}{space 2} .0909738{col 26}{space 2} .3326435{col 37}{space 1}    0.27{col 46}{space 3}0.785{col 54}{space 4}-.5660601{col 67}{space 3} .7480076
{txt}c_treatful.. {c |}{col 14}{res}{space 2} .0379091{col 26}{space 2} .0281283{col 37}{space 1}    1.35{col 46}{space 3}0.180{col 54}{space 4}-.0176496{col 67}{space 3} .0934678
{txt}c_treatful.. {c |}{col 14}{res}{space 2}-.1236465{col 26}{space 2} .0789497{col 37}{space 1}   -1.57{col 46}{space 3}0.119{col 54}{space 4}-.2795872{col 67}{space 3} .0322942
{txt}{space 7}_cons {c |}{col 14}{res}{space 2}-.0009358{col 26}{space 2}  .018656{col 37}{space 1}   -0.05{col 46}{space 3}0.960{col 54}{space 4}-.0377849{col 67}{space 3} .0359132
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)
{p 0 6 2}note: mean_b_commtg_z_d omitted because of collinearity{p_end}
{res}
{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}       187
{txt}{col 49}F({res}  14{txt},{res}    157{txt}){col 67}= {res}      1.94
{txt}{col 49}Prob > F{col 67}= {res}    0.0259
{txt}{col 49}R-squared{col 67}= {res}    0.4930
{txt}{col 49}Adj R-squared{col 67}= {res}    0.3993
{txt}{col 49}Root MSE{col 67}= {res}    0.1969

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}mean_e_com~z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2}-.0010327{col 26}{space 2} .0290044{col 37}{space 1}   -0.04{col 46}{space 3}0.972{col 54}{space 4}-.0583218{col 67}{space 3} .0562563
{txt}mean_b_com~z {c |}{col 14}{res}{space 2} .1541715{col 26}{space 2} .0671289{col 37}{space 1}    2.30{col 46}{space 3}0.023{col 54}{space 4} .0215793{col 67}{space 3} .2867638
{txt}mean_b_com~d {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
c_tf~_hc_hc2 {c |}{col 14}{res}{space 2} .0614173{col 26}{space 2} .0522542{col 37}{space 1}    1.18{col 46}{space 3}0.242{col 54}{space 4}-.0417946{col 67}{space 3} .1646292
{txt}c_tfull_hc~l {c |}{col 14}{res}{space 2} .0251005{col 26}{space 2} .0721827{col 37}{space 1}    0.35{col 46}{space 3}0.729{col 54}{space 4}-.1174739{col 67}{space 3} .1676749
{txt}c_tfull_hc~s {c |}{col 14}{res}{space 2} .0021018{col 26}{space 2}  .076922{col 37}{space 1}    0.03{col 46}{space 3}0.978{col 54}{space 4}-.1498336{col 67}{space 3} .1540372
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2}-.2096653{col 26}{space 2} .2381782{col 37}{space 1}   -0.88{col 46}{space 3}0.380{col 54}{space 4}-.6801122{col 67}{space 3} .2607817
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2}  .000942{col 26}{space 2} .0212162{col 37}{space 1}    0.04{col 46}{space 3}0.965{col 54}{space 4}-.0409639{col 67}{space 3} .0428479
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2}-.0355934{col 26}{space 2}  .075086{col 37}{space 1}   -0.47{col 46}{space 3}0.636{col 54}{space 4}-.1839024{col 67}{space 3} .1127157
{txt}c_treatful.. {c |}{col 14}{res}{space 2} .0386656{col 26}{space 2} .0652217{col 37}{space 1}    0.59{col 46}{space 3}0.554{col 54}{space 4}-.0901595{col 67}{space 3} .1674908
{txt}c_treatful.. {c |}{col 14}{res}{space 2} .0726086{col 26}{space 2} .0854361{col 37}{space 1}    0.85{col 46}{space 3}0.397{col 54}{space 4}-.0961438{col 67}{space 3}  .241361
{txt}c_treatful.. {c |}{col 14}{res}{space 2}-.0380172{col 26}{space 2} .0868396{col 37}{space 1}   -0.44{col 46}{space 3}0.662{col 54}{space 4}-.2095418{col 67}{space 3} .1335074
{txt}c_treatful.. {c |}{col 14}{res}{space 2} .6734442{col 26}{space 2} .3559144{col 37}{space 1}    1.89{col 46}{space 3}0.060{col 54}{space 4}-.0295542{col 67}{space 3} 1.376443
{txt}c_treatful.. {c |}{col 14}{res}{space 2}-.0032413{col 26}{space 2} .0353271{col 37}{space 1}   -0.09{col 46}{space 3}0.927{col 54}{space 4} -.073019{col 67}{space 3} .0665364
{txt}c_treatful.. {c |}{col 14}{res}{space 2}  .004977{col 26}{space 2} .0878248{col 37}{space 1}    0.06{col 46}{space 3}0.955{col 54}{space 4}-.1684936{col 67}{space 3} .1784477
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} .0038766{col 26}{space 2} .0199776{col 37}{space 1}    0.19{col 46}{space 3}0.846{col 54}{space 4} -.035583{col 67}{space 3} .0433361
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{com}. 
.         eststo clear
{txt}
{com}.                         
.         foreach x in `indices_hc' {c -(}
{txt}  2{com}.                 areg  mean_e_`x' `var' mean_b_`x' `e_controls_tfull_hc' ``var'_hc_int_e_controls' if uniquehc == 1, robust a(district)
{txt}  3{com}.                 local n_mean_`x' = string(`e(N)',"%9.0fc")
{txt}  4{com}.                 local b_mean_`x' = string(_b[treatfull],"%9.3fc")
{txt}  5{com}.                 local se_mean_`x' =string(_se[treatfull],"%9.3fc")
{txt}  6{com}.                 local p_mean_`x' = (2 * ttail(e(df_r), abs(_b[treatfull]/_se[treatfull])))
{txt}  7{com}.                         
.                 if `p_mean_`x'' <= 0.1 & `p_mean_`x'' > 0.05{c -(}
{txt}  8{com}.                         local b_mean_`x' `b_mean_`x''*
{txt}  9{com}.                 {c )-}
{txt} 10{com}.         
.                 if `p_mean_`x'' <= 0.05 & `p_mean_`x'' > 0.01{c -(}
{txt} 11{com}.                         local b_mean_`x' `b_mean_`x''**
{txt} 12{com}.                 {c )-}
{txt} 13{com}.                 
.                 if `p_mean_`x'' <= 0.01 & `p_mean_`x'' > 0 {c -(}
{txt} 14{com}.                         local b_mean_`x' `b_mean_`x''***
{txt} 15{com}.                 {c )-}
{txt} 16{com}.                 
.                 local csb_mean_`x' = string(_b[_cons],"%9.3fc")
{txt} 17{com}.                 local csse_mean_`x' =string(_se[_cons],"%9.3fc")
{txt} 18{com}.                 local p_mean_`x' = (2 * ttail(e(df_r), abs(_b[_cons]/_se[_cons])))
{txt} 19{com}.                         
.                 if `p_mean_`x'' <= 0.1 & `p_mean_`x'' > 0.05{c -(}
{txt} 20{com}.                         local csb_mean_`x' `csb_mean_`x''*
{txt} 21{com}.                 {c )-}
{txt} 22{com}.         
.                 if `p_mean_`x'' <= 0.05 & `p_mean_`x'' > 0.01{c -(}
{txt} 23{com}.                         local csb_mean_`x' `csb_mean_`x''**
{txt} 24{com}.                 {c )-}
{txt} 25{com}.                 
.                 if `p_mean_`x'' <= 0.01 & `p_mean_`x'' > 0 {c -(}
{txt} 26{com}.                         local csb_mean_`x' `csb_mean_`x''***
{txt} 27{com}.                 {c )-}
{txt} 28{com}.                 
.                 {c )-}
{res}
{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}       187
{txt}{col 49}F({res}  14{txt},{res}    157{txt}){col 67}= {res}      1.41
{txt}{col 49}Prob > F{col 67}= {res}    0.1530
{txt}{col 49}R-squared{col 67}= {res}    0.1974
{txt}{col 49}Adj R-squared{col 67}= {res}    0.0492
{txt}{col 49}Root MSE{col 67}= {res}    0.0534

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}mean_e_mo~05{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2}-.0105267{col 26}{space 2} .0079551{col 37}{space 1}   -1.32{col 46}{space 3}0.188{col 54}{space 4}-.0262397{col 67}{space 3} .0051862
{txt}mean_b_mo~05 {c |}{col 14}{res}{space 2} .0808291{col 26}{space 2}  .065325{col 37}{space 1}    1.24{col 46}{space 3}0.218{col 54}{space 4}-.0482001{col 67}{space 3} .2098583
{txt}c_tf~_hc_hc2 {c |}{col 14}{res}{space 2} .0083737{col 26}{space 2} .0168654{col 37}{space 1}    0.50{col 46}{space 3}0.620{col 54}{space 4}-.0249386{col 67}{space 3} .0416859
{txt}c_tfull_hc~l {c |}{col 14}{res}{space 2} .0020266{col 26}{space 2} .0211816{col 37}{space 1}    0.10{col 46}{space 3}0.924{col 54}{space 4}-.0398112{col 67}{space 3} .0438643
{txt}c_tfull_hc~s {c |}{col 14}{res}{space 2} .0115205{col 26}{space 2} .0223521{col 37}{space 1}    0.52{col 46}{space 3}0.607{col 54}{space 4}-.0326291{col 67}{space 3}   .05567
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2} .0310707{col 26}{space 2} .0567591{col 37}{space 1}    0.55{col 46}{space 3}0.585{col 54}{space 4}-.0810392{col 67}{space 3} .1431807
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2}-.0063919{col 26}{space 2} .0071613{col 37}{space 1}   -0.89{col 46}{space 3}0.373{col 54}{space 4}-.0205367{col 67}{space 3} .0077529
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2} .0158802{col 26}{space 2} .0211947{col 37}{space 1}    0.75{col 46}{space 3}0.455{col 54}{space 4}-.0259833{col 67}{space 3} .0577437
{txt}c_treatful.. {c |}{col 14}{res}{space 2}-.0047529{col 26}{space 2} .0194419{col 37}{space 1}   -0.24{col 46}{space 3}0.807{col 54}{space 4}-.0431543{col 67}{space 3} .0336486
{txt}c_treatful.. {c |}{col 14}{res}{space 2}-.0018397{col 26}{space 2} .0234256{col 37}{space 1}   -0.08{col 46}{space 3}0.938{col 54}{space 4}-.0481097{col 67}{space 3} .0444302
{txt}c_treatful.. {c |}{col 14}{res}{space 2}-.0353364{col 26}{space 2} .0275786{col 37}{space 1}   -1.28{col 46}{space 3}0.202{col 54}{space 4}-.0898094{col 67}{space 3} .0191366
{txt}c_treatful.. {c |}{col 14}{res}{space 2}-.1735433{col 26}{space 2} .0910238{col 37}{space 1}   -1.91{col 46}{space 3}0.058{col 54}{space 4}-.3533325{col 67}{space 3}  .006246
{txt}c_treatful.. {c |}{col 14}{res}{space 2}-.0026096{col 26}{space 2} .0085994{col 37}{space 1}   -0.30{col 46}{space 3}0.762{col 54}{space 4}-.0195951{col 67}{space 3} .0143758
{txt}c_treatful.. {c |}{col 14}{res}{space 2} -.017001{col 26}{space 2} .0275689{col 37}{space 1}   -0.62{col 46}{space 3}0.538{col 54}{space 4}-.0714548{col 67}{space 3} .0374529
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} .0606025{col 26}{space 2} .0063477{col 37}{space 1}    9.55{col 46}{space 3}0.000{col 54}{space 4} .0480645{col 67}{space 3} .0731405
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)
{res}
{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}       187
{txt}{col 49}F({res}  14{txt},{res}    157{txt}){col 67}= {res}      1.24
{txt}{col 49}Prob > F{col 67}= {res}    0.2484
{txt}{col 49}R-squared{col 67}= {res}    0.1524
{txt}{col 49}Adj R-squared{col 67}= {res}   -0.0042
{txt}{col 49}Root MSE{col 67}= {res}    0.6902

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}mean_e_h_c~z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2}-.1398381{col 26}{space 2} .1016938{col 37}{space 1}   -1.38{col 46}{space 3}0.171{col 54}{space 4}-.3407026{col 67}{space 3} .0610265
{txt}mean_b_h_c~z {c |}{col 14}{res}{space 2} .0076511{col 26}{space 2} .0690759{col 37}{space 1}    0.11{col 46}{space 3}0.912{col 54}{space 4}-.1287869{col 67}{space 3} .1440891
{txt}c_tf~_hc_hc2 {c |}{col 14}{res}{space 2}-.0858617{col 26}{space 2} .1520159{col 37}{space 1}   -0.56{col 46}{space 3}0.573{col 54}{space 4}-.3861219{col 67}{space 3} .2143985
{txt}c_tfull_hc~l {c |}{col 14}{res}{space 2} .0656689{col 26}{space 2}  .195336{col 37}{space 1}    0.34{col 46}{space 3}0.737{col 54}{space 4}-.3201566{col 67}{space 3} .4514944
{txt}c_tfull_hc~s {c |}{col 14}{res}{space 2} .6333753{col 26}{space 2} .2576883{col 37}{space 1}    2.46{col 46}{space 3}0.015{col 54}{space 4} .1243921{col 67}{space 3} 1.142359
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2}-.6222355{col 26}{space 2} .5768423{col 37}{space 1}   -1.08{col 46}{space 3}0.282{col 54}{space 4}-1.761608{col 67}{space 3} .5171372
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2}-.0480568{col 26}{space 2}  .084333{col 37}{space 1}   -0.57{col 46}{space 3}0.570{col 54}{space 4}-.2146304{col 67}{space 3} .1185168
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2}-.1589857{col 26}{space 2} .2356689{col 37}{space 1}   -0.67{col 46}{space 3}0.501{col 54}{space 4}-.6244763{col 67}{space 3} .3065049
{txt}c_treatful.. {c |}{col 14}{res}{space 2} .0552366{col 26}{space 2} .2415604{col 37}{space 1}    0.23{col 46}{space 3}0.819{col 54}{space 4}-.4218909{col 67}{space 3}  .532364
{txt}c_treatful.. {c |}{col 14}{res}{space 2}-.1737508{col 26}{space 2} .2468112{col 37}{space 1}   -0.70{col 46}{space 3}0.482{col 54}{space 4}-.6612497{col 67}{space 3} .3137481
{txt}c_treatful.. {c |}{col 14}{res}{space 2}-.5837434{col 26}{space 2} .2777031{col 37}{space 1}   -2.10{col 46}{space 3}0.037{col 54}{space 4} -1.13226{col 67}{space 3}-.0352272
{txt}c_treatful.. {c |}{col 14}{res}{space 2} .9261883{col 26}{space 2} 1.020651{col 37}{space 1}    0.91{col 46}{space 3}0.366{col 54}{space 4}-1.089791{col 67}{space 3} 2.942167
{txt}c_treatful.. {c |}{col 14}{res}{space 2} .1509128{col 26}{space 2} .1198398{col 37}{space 1}    1.26{col 46}{space 3}0.210{col 54}{space 4}-.0857935{col 67}{space 3} .3876192
{txt}c_treatful.. {c |}{col 14}{res}{space 2}-.0460213{col 26}{space 2} .2763784{col 37}{space 1}   -0.17{col 46}{space 3}0.868{col 54}{space 4}-.5919209{col 67}{space 3} .4998783
{txt}{space 7}_cons {c |}{col 14}{res}{space 2}  .014802{col 26}{space 2} .0641678{col 37}{space 1}    0.23{col 46}{space 3}0.818{col 54}{space 4}-.1119416{col 67}{space 3} .1415456
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{com}.                 
.         ***********************************
.         * Diff in Diff endline - baseline *
.         ***********************************
.         
.         local add_control
{txt}
{com}.         
.         foreach var of local indices {c -(}
{txt}  2{com}.                 local add_control `add_control' b_`var'_d
{txt}  3{com}.                 {c )-}
{txt}
{com}.         
.         local var treatfull
{txt}
{com}.         
.         local e_indices e_urate_z e_treatqual_z e_treatqualalt_z e_patsat_z e_commtg_z
{txt}
{com}.         local e_indices_hc e_mortrate_05 e_h_ctzpressure_z
{txt}
{com}.         
.         local b_indices b_urate_z b_treatqual_z b_treatqualalt_z b_patsat_z b_commtg_z
{txt}
{com}.         local b_indices_hc b_mortrate_05 b_h_ctzpressure_z
{txt}
{com}.         
.         keep hh_id hc_id `add_control' `b_indices' `b_indices_hc' `e_indices' `e_indices_hc' `e_controls_tfull' `e_controls_tfull_hc' ``var'_int_e_controls' ``var'_hc_int_e_controls' district uniquehc treatfull endline_presence
{txt}
{com}.         
.         foreach x of local indices {c -(}
{txt}  2{com}.                 ren b_`x' `x'_b
{txt}  3{com}.                 ren e_`x' `x'_e
{txt}  4{com}.                 {c )-}
{res}{txt}
{com}.                 
.         foreach x of local indices_hc {c -(}
{txt}  2{com}.                 ren b_`x' `x'_b
{txt}  3{com}.                 ren e_`x' `x'_e
{txt}  4{com}.                 {c )-}
{res}{txt}
{com}.                 
.         reshape long `indices' `indices_hc' , i(hh_id) j(num) s
{txt}(note: j = _b _e)

Data{col 36}wide{col 43}->{col 48}long
{hline 77}
Number of obs.                 {res}   15295   {txt}->{res}   30590
{txt}Number of variables            {res}      49   {txt}->{res}      43
{txt}j variable (2 values)                     ->   {res}num
{txt}xij variables:
                    {res}urate_z_b urate_z_e   {txt}->   {res}urate_z
            treatqual_z_b treatqual_z_e   {txt}->   {res}treatqual_z
      treatqualalt_z_b treatqualalt_z_e   {txt}->   {res}treatqualalt_z
                  patsat_z_b patsat_z_e   {txt}->   {res}patsat_z
                  commtg_z_b commtg_z_e   {txt}->   {res}commtg_z
            mortrate_05_b mortrate_05_e   {txt}->   {res}mortrate_05
    h_ctzpressure_z_b h_ctzpressure_z_e   {txt}->   {res}h_ctzpressure_z
{txt}{hline 77}

{com}.         
.         gen y16 = (num == "_e")
{txt}
{com}.         
.         drop num
{txt}
{com}.         
.         gen t_16 = treatfull*y16
{txt}(15,354 missing values generated)

{com}.         
.         local indices urate_z treatqual_z treatqualalt_z patsat_z commtg_z
{txt}
{com}.         
.         foreach x in `indices' {c -(}
{txt}  2{com}.                 areg `x' t_16 y16 b_`x'_d `e_controls_tfull' ``var'_int_e_controls' if endline_presence == 1, robust cl(hc_id) a(district)
{txt}  3{com}.                 local n_dd_`x' = string(`e(N)',"%9.0fc")
{txt}  4{com}.                 local b_dd_`x' = string(_b[t_16],"%9.3fc")
{txt}  5{com}.                 local se_dd_`x' =string(_se[t_16],"%9.3fc")
{txt}  6{com}.                 local p_dd_`x' = (2 * ttail(e(df_r), abs(_b[t_16]/_se[t_16])))
{txt}  7{com}.                         
.                 if `p_dd_`x'' <= 0.1 & `p_dd_`x'' > 0.05{c -(}
{txt}  8{com}.                         local b_dd_`x' `b_dd_`x''*
{txt}  9{com}.                 {c )-}
{txt} 10{com}.         
.                 if `p_dd_`x'' <= 0.05 & `p_dd_`x'' > 0.01{c -(}
{txt} 11{com}.                         local b_dd_`x' `b_dd_`x''**
{txt} 12{com}.                 {c )-}
{txt} 13{com}.                 
.                 if `p_dd_`x'' <= 0.01 & `p_dd_`x'' > 0 {c -(}
{txt} 14{com}.                         local b_dd_`x' `b_dd_`x''***
{txt} 15{com}.                 {c )-}
{txt} 16{com}.                 
.                 local csb_dd_`x' = string(_b[_cons],"%9.3fc")
{txt} 17{com}.                 local csse_dd_`x' =string(_se[_cons],"%9.3fc")
{txt} 18{com}.                 local p_dd_`x' = (2 * ttail(e(df_r), abs(_b[_cons]/_se[_cons])))
{txt} 19{com}.                         
.                 if `p_dd_`x'' <= 0.1 & `p_dd_`x'' > 0.05{c -(}
{txt} 20{com}.                         local csb_dd_`x' `csb_dd_`x''*
{txt} 21{com}.                 {c )-}
{txt} 22{com}.         
.                 if `p_dd_`x'' <= 0.05 & `p_dd_`x'' > 0.01{c -(}
{txt} 23{com}.                         local csb_dd_`x' `csb_dd_`x''**
{txt} 24{com}.                 {c )-}
{txt} 25{com}.                 
.                 if `p_dd_`x'' <= 0.01 & `p_dd_`x'' > 0 {c -(}
{txt} 26{com}.                         local csb_dd_`x' `csb_dd_`x''***
{txt} 27{com}.                 {c )-}
{txt} 28{com}.                 
.                 {c )-}
{txt}note: b_urate_z_d omitted because of collinearity
{res}
{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}    14,576
{txt}{col 49}F({res}  14{txt},{res}    186{txt}){col 67}= {res}     71.57
{txt}{col 49}Prob > F{col 67}= {res}    0.0000
{txt}{col 49}R-squared{col 67}= {res}    0.1818
{txt}{col 49}Adj R-squared{col 67}= {res}    0.1801
{txt}{col 49}Root MSE{col 67}= {res}    0.6535

{txt}{ralign 78:(Std. Err. adjusted for {res:187} clusters in hc_id)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}     urate_z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 8}t_16 {c |}{col 14}{res}{space 2} .0036886{col 26}{space 2} .0251683{col 37}{space 1}    0.15{col 46}{space 3}0.884{col 54}{space 4}-.0459634{col 67}{space 3} .0533407
{txt}{space 9}y16 {c |}{col 14}{res}{space 2} .0068979{col 26}{space 2} .0179295{col 37}{space 1}    0.38{col 46}{space 3}0.701{col 54}{space 4}-.0284735{col 67}{space 3} .0422693
{txt}{space 1}b_urate_z_d {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 1}c_tfull_hc2 {c |}{col 14}{res}{space 2} .0375564{col 26}{space 2} .0392103{col 37}{space 1}    0.96{col 46}{space 3}0.339{col 54}{space 4}-.0397978{col 67}{space 3} .1149106
{txt}c_tfull_b_~l {c |}{col 14}{res}{space 2} .0718326{col 26}{space 2} .0525733{col 37}{space 1}    1.37{col 46}{space 3}0.173{col 54}{space 4}-.0318841{col 67}{space 3} .1755493
{txt}c_tfull_b_~s {c |}{col 14}{res}{space 2} .0191738{col 26}{space 2} .0537152{col 37}{space 1}    0.36{col 46}{space 3}0.722{col 54}{space 4}-.0867955{col 67}{space 3} .1251431
{txt}c_tfull_b_~d {c |}{col 14}{res}{space 2} .7831634{col 26}{space 2} .0408456{col 37}{space 1}   19.17{col 46}{space 3}0.000{col 54}{space 4} .7025832{col 67}{space 3} .8637435
{txt}c_tfull_ed~r {c |}{col 14}{res}{space 2}-.0143428{col 26}{space 2} .0021724{col 37}{space 1}   -6.60{col 46}{space 3}0.000{col 54}{space 4}-.0186285{col 67}{space 3}-.0100571
{txt}c_tfull_b_~x {c |}{col 14}{res}{space 2}-.0484247{col 26}{space 2} .0117064{col 37}{space 1}   -4.14{col 46}{space 3}0.000{col 54}{space 4}-.0715191{col 67}{space 3}-.0253303
{txt}c_trea~l_hc2 {c |}{col 14}{res}{space 2}-.0150721{col 26}{space 2} .0508892{col 37}{space 1}   -0.30{col 46}{space 3}0.767{col 54}{space 4}-.1154663{col 67}{space 3} .0853222
{txt}c_treatful.. {c |}{col 14}{res}{space 2} .0200382{col 26}{space 2} .0590812{col 37}{space 1}    0.34{col 46}{space 3}0.735{col 54}{space 4}-.0965172{col 67}{space 3} .1365936
{txt}c_treatful.. {c |}{col 14}{res}{space 2} .0063234{col 26}{space 2} .0730099{col 37}{space 1}    0.09{col 46}{space 3}0.931{col 54}{space 4}-.1377105{col 67}{space 3} .1503573
{txt}c_treatful.. {c |}{col 14}{res}{space 2}-.0157175{col 26}{space 2} .0550107{col 37}{space 1}   -0.29{col 46}{space 3}0.775{col 54}{space 4}-.1242425{col 67}{space 3} .0928075
{txt}c_treatful.. {c |}{col 14}{res}{space 2} .0047639{col 26}{space 2} .0033965{col 37}{space 1}    1.40{col 46}{space 3}0.162{col 54}{space 4}-.0019367{col 67}{space 3} .0114645
{txt}c_treatful.. {c |}{col 14}{res}{space 2} .0153868{col 26}{space 2} .0163131{col 37}{space 1}    0.94{col 46}{space 3}0.347{col 54}{space 4}-.0167957{col 67}{space 3} .0475693
{txt}{space 7}_cons {c |}{col 14}{res}{space 2}-.0229615{col 26}{space 2} .0120437{col 37}{space 1}   -1.91{col 46}{space 3}0.058{col 54}{space 4}-.0467212{col 67}{space 3} .0007982
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)
note: b_treatqual_z_d omitted because of collinearity
{res}
{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}    14,576
{txt}{col 49}F({res}  14{txt},{res}    186{txt}){col 67}= {res}      2.96
{txt}{col 49}Prob > F{col 67}= {res}    0.0004
{txt}{col 49}R-squared{col 67}= {res}    0.0643
{txt}{col 49}Adj R-squared{col 67}= {res}    0.0625
{txt}{col 49}Root MSE{col 67}= {res}    0.3658

{txt}{ralign 78:(Std. Err. adjusted for {res:187} clusters in hc_id)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1} treatqual_z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 8}t_16 {c |}{col 14}{res}{space 2} .0742645{col 26}{space 2} .0282407{col 37}{space 1}    2.63{col 46}{space 3}0.009{col 54}{space 4} .0185512{col 67}{space 3} .1299779
{txt}{space 9}y16 {c |}{col 14}{res}{space 2}-.0196951{col 26}{space 2} .0257918{col 37}{space 1}   -0.76{col 46}{space 3}0.446{col 54}{space 4}-.0705771{col 67}{space 3} .0311869
{txt}b_trea~l_z_d {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 1}c_tfull_hc2 {c |}{col 14}{res}{space 2}-.0228309{col 26}{space 2} .0404069{col 37}{space 1}   -0.57{col 46}{space 3}0.573{col 54}{space 4}-.1025457{col 67}{space 3} .0568839
{txt}c_tfull_b_~l {c |}{col 14}{res}{space 2} .0651683{col 26}{space 2} .0458083{col 37}{space 1}    1.42{col 46}{space 3}0.157{col 54}{space 4}-.0252023{col 67}{space 3} .1555389
{txt}c_tfull_b_~s {c |}{col 14}{res}{space 2} .0594079{col 26}{space 2} .0530461{col 37}{space 1}    1.12{col 46}{space 3}0.264{col 54}{space 4}-.0452414{col 67}{space 3} .1640572
{txt}c_tfull_b_~d {c |}{col 14}{res}{space 2}-.0448446{col 26}{space 2} .0179581{col 37}{space 1}   -2.50{col 46}{space 3}0.013{col 54}{space 4}-.0802724{col 67}{space 3}-.0094168
{txt}c_tfull_ed~r {c |}{col 14}{res}{space 2}-.0020419{col 26}{space 2} .0014181{col 37}{space 1}   -1.44{col 46}{space 3}0.152{col 54}{space 4}-.0048396{col 67}{space 3} .0007557
{txt}c_tfull_b_~x {c |}{col 14}{res}{space 2}-.0059962{col 26}{space 2} .0067652{col 37}{space 1}   -0.89{col 46}{space 3}0.377{col 54}{space 4}-.0193426{col 67}{space 3} .0073502
{txt}c_trea~l_hc2 {c |}{col 14}{res}{space 2}-.0430628{col 26}{space 2} .0538875{col 37}{space 1}   -0.80{col 46}{space 3}0.425{col 54}{space 4}-.1493721{col 67}{space 3} .0632465
{txt}c_treatful.. {c |}{col 14}{res}{space 2}-.0498359{col 26}{space 2} .0583336{col 37}{space 1}   -0.85{col 46}{space 3}0.394{col 54}{space 4}-.1649164{col 67}{space 3} .0652447
{txt}c_treatful.. {c |}{col 14}{res}{space 2}  -.01796{col 26}{space 2} .0750888{col 37}{space 1}   -0.24{col 46}{space 3}0.811{col 54}{space 4}-.1660952{col 67}{space 3} .1301752
{txt}c_treatful.. {c |}{col 14}{res}{space 2} .0838178{col 26}{space 2} .0242672{col 37}{space 1}    3.45{col 46}{space 3}0.001{col 54}{space 4} .0359434{col 67}{space 3} .1316922
{txt}c_treatful.. {c |}{col 14}{res}{space 2} .0018365{col 26}{space 2} .0018445{col 37}{space 1}    1.00{col 46}{space 3}0.321{col 54}{space 4}-.0018023{col 67}{space 3} .0054754
{txt}c_treatful.. {c |}{col 14}{res}{space 2}-.0006869{col 26}{space 2} .0106733{col 37}{space 1}   -0.06{col 46}{space 3}0.949{col 54}{space 4}-.0217432{col 67}{space 3} .0203693
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} .0201033{col 26}{space 2} .0162639{col 37}{space 1}    1.24{col 46}{space 3}0.218{col 54}{space 4}-.0119822{col 67}{space 3} .0521888
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)
note: b_treatqualalt_z_d omitted because of collinearity
{res}
{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}    14,576
{txt}{col 49}F({res}  14{txt},{res}    186{txt}){col 67}= {res}      5.09
{txt}{col 49}Prob > F{col 67}= {res}    0.0000
{txt}{col 49}R-squared{col 67}= {res}    0.0391
{txt}{col 49}Adj R-squared{col 67}= {res}    0.0372
{txt}{col 49}Root MSE{col 67}= {res}    0.4804

{txt}{ralign 78:(Std. Err. adjusted for {res:187} clusters in hc_id)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}treatquala~z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 8}t_16 {c |}{col 14}{res}{space 2} .0393753{col 26}{space 2}  .022047{col 37}{space 1}    1.79{col 46}{space 3}0.076{col 54}{space 4}-.0041191{col 67}{space 3} .0828697
{txt}{space 9}y16 {c |}{col 14}{res}{space 2}-.0121157{col 26}{space 2} .0202966{col 37}{space 1}   -0.60{col 46}{space 3}0.551{col 54}{space 4}-.0521568{col 67}{space 3} .0279255
{txt}b_trea~t_z_d {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 1}c_tfull_hc2 {c |}{col 14}{res}{space 2}-.0704617{col 26}{space 2} .0316218{col 37}{space 1}   -2.23{col 46}{space 3}0.027{col 54}{space 4}-.1328453{col 67}{space 3}-.0080782
{txt}c_tfull_b_~l {c |}{col 14}{res}{space 2} .0629307{col 26}{space 2} .0357125{col 37}{space 1}    1.76{col 46}{space 3}0.080{col 54}{space 4} -.007523{col 67}{space 3} .1333844
{txt}c_tfull_b_~s {c |}{col 14}{res}{space 2} .0401146{col 26}{space 2} .0393711{col 37}{space 1}    1.02{col 46}{space 3}0.310{col 54}{space 4}-.0375566{col 67}{space 3} .1177859
{txt}c_tfull_b_~d {c |}{col 14}{res}{space 2}-.0242534{col 26}{space 2} .0209727{col 37}{space 1}   -1.16{col 46}{space 3}0.249{col 54}{space 4}-.0656284{col 67}{space 3} .0171215
{txt}c_tfull_ed~r {c |}{col 14}{res}{space 2}-.0015744{col 26}{space 2} .0016857{col 37}{space 1}   -0.93{col 46}{space 3}0.352{col 54}{space 4}-.0049001{col 67}{space 3} .0017512
{txt}c_tfull_b_~x {c |}{col 14}{res}{space 2}-.0170252{col 26}{space 2} .0075471{col 37}{space 1}   -2.26{col 46}{space 3}0.025{col 54}{space 4}-.0319141{col 67}{space 3}-.0021362
{txt}c_trea~l_hc2 {c |}{col 14}{res}{space 2}-.0085293{col 26}{space 2} .0388558{col 37}{space 1}   -0.22{col 46}{space 3}0.826{col 54}{space 4}-.0851839{col 67}{space 3} .0681254
{txt}c_treatful.. {c |}{col 14}{res}{space 2}-.0379863{col 26}{space 2} .0415296{col 37}{space 1}   -0.91{col 46}{space 3}0.362{col 54}{space 4}-.1199158{col 67}{space 3} .0439432
{txt}c_treatful.. {c |}{col 14}{res}{space 2}-.0475572{col 26}{space 2} .0482373{col 37}{space 1}   -0.99{col 46}{space 3}0.325{col 54}{space 4}-.1427197{col 67}{space 3} .0476054
{txt}c_treatful.. {c |}{col 14}{res}{space 2} .0686102{col 26}{space 2} .0261697{col 37}{space 1}    2.62{col 46}{space 3}0.009{col 54}{space 4} .0169827{col 67}{space 3} .1202378
{txt}c_treatful.. {c |}{col 14}{res}{space 2} .0027181{col 26}{space 2} .0022257{col 37}{space 1}    1.22{col 46}{space 3}0.224{col 54}{space 4}-.0016728{col 67}{space 3}  .007109
{txt}c_treatful.. {c |}{col 14}{res}{space 2} .0004534{col 26}{space 2} .0106384{col 37}{space 1}    0.04{col 46}{space 3}0.966{col 54}{space 4} -.020534{col 67}{space 3} .0214409
{txt}{space 7}_cons {c |}{col 14}{res}{space 2}  .009872{col 26}{space 2} .0122887{col 37}{space 1}    0.80{col 46}{space 3}0.423{col 54}{space 4}-.0143711{col 67}{space 3}  .034115
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)
note: b_patsat_z_d omitted because of collinearity
{res}
{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}    14,576
{txt}{col 49}F({res}  14{txt},{res}    186{txt}){col 67}= {res}      3.28
{txt}{col 49}Prob > F{col 67}= {res}    0.0001
{txt}{col 49}R-squared{col 67}= {res}    0.0188
{txt}{col 49}Adj R-squared{col 67}= {res}    0.0168
{txt}{col 49}Root MSE{col 67}= {res}    0.6268

{txt}{ralign 78:(Std. Err. adjusted for {res:187} clusters in hc_id)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}    patsat_z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 8}t_16 {c |}{col 14}{res}{space 2} .0667922{col 26}{space 2} .0251119{col 37}{space 1}    2.66{col 46}{space 3}0.009{col 54}{space 4} .0172514{col 67}{space 3}  .116333
{txt}{space 9}y16 {c |}{col 14}{res}{space 2} .0121964{col 26}{space 2} .0215205{col 37}{space 1}    0.57{col 46}{space 3}0.572{col 54}{space 4}-.0302592{col 67}{space 3}  .054652
{txt}b_patsat_z_d {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 1}c_tfull_hc2 {c |}{col 14}{res}{space 2} .0295537{col 26}{space 2} .0316243{col 37}{space 1}    0.93{col 46}{space 3}0.351{col 54}{space 4}-.0328348{col 67}{space 3} .0919422
{txt}c_tfull_b_~l {c |}{col 14}{res}{space 2} .0591942{col 26}{space 2} .0414243{col 37}{space 1}    1.43{col 46}{space 3}0.155{col 54}{space 4}-.0225277{col 67}{space 3} .1409162
{txt}c_tfull_b_~s {c |}{col 14}{res}{space 2} .0604314{col 26}{space 2} .0512537{col 37}{space 1}    1.18{col 46}{space 3}0.240{col 54}{space 4} -.040682{col 67}{space 3} .1615448
{txt}c_tfull_b_~d {c |}{col 14}{res}{space 2}-.0321736{col 26}{space 2} .0335495{col 37}{space 1}   -0.96{col 46}{space 3}0.339{col 54}{space 4}  -.09836{col 67}{space 3} .0340128
{txt}c_tfull_ed~r {c |}{col 14}{res}{space 2}-.0004943{col 26}{space 2} .0019619{col 37}{space 1}   -0.25{col 46}{space 3}0.801{col 54}{space 4}-.0043647{col 67}{space 3}  .003376
{txt}c_tfull_b_~x {c |}{col 14}{res}{space 2} .0335265{col 26}{space 2} .0085433{col 37}{space 1}    3.92{col 46}{space 3}0.000{col 54}{space 4} .0166723{col 67}{space 3} .0503807
{txt}c_trea~l_hc2 {c |}{col 14}{res}{space 2}-.0902462{col 26}{space 2} .0489153{col 37}{space 1}   -1.84{col 46}{space 3}0.067{col 54}{space 4}-.1867464{col 67}{space 3}  .006254
{txt}c_treatful.. {c |}{col 14}{res}{space 2}-.1107891{col 26}{space 2} .0584834{col 37}{space 1}   -1.89{col 46}{space 3}0.060{col 54}{space 4} -.226165{col 67}{space 3} .0045869
{txt}c_treatful.. {c |}{col 14}{res}{space 2}-.0065015{col 26}{space 2} .0639258{col 37}{space 1}   -0.10{col 46}{space 3}0.919{col 54}{space 4}-.1326144{col 67}{space 3} .1196114
{txt}c_treatful.. {c |}{col 14}{res}{space 2} .0517143{col 26}{space 2} .0391514{col 37}{space 1}    1.32{col 46}{space 3}0.188{col 54}{space 4}-.0255236{col 67}{space 3} .1289522
{txt}c_treatful.. {c |}{col 14}{res}{space 2} .0043195{col 26}{space 2} .0029121{col 37}{space 1}    1.48{col 46}{space 3}0.140{col 54}{space 4}-.0014254{col 67}{space 3} .0100644
{txt}c_treatful.. {c |}{col 14}{res}{space 2}-.0295358{col 26}{space 2} .0134097{col 37}{space 1}   -2.20{col 46}{space 3}0.029{col 54}{space 4}-.0559904{col 67}{space 3}-.0030812
{txt}{space 7}_cons {c |}{col 14}{res}{space 2}-.0107149{col 26}{space 2} .0147055{col 37}{space 1}   -0.73{col 46}{space 3}0.467{col 54}{space 4}-.0397259{col 67}{space 3}  .018296
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)
note: b_commtg_z_d omitted because of collinearity
{res}
{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}    14,576
{txt}{col 49}F({res}  14{txt},{res}    186{txt}){col 67}= {res}      3.75
{txt}{col 49}Prob > F{col 67}= {res}    0.0000
{txt}{col 49}R-squared{col 67}= {res}    0.0415
{txt}{col 49}Adj R-squared{col 67}= {res}    0.0395
{txt}{col 49}Root MSE{col 67}= {res}    0.6309

{txt}{ralign 78:(Std. Err. adjusted for {res:187} clusters in hc_id)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}    commtg_z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 8}t_16 {c |}{col 14}{res}{space 2} .0129623{col 26}{space 2} .0322896{col 37}{space 1}    0.40{col 46}{space 3}0.689{col 54}{space 4}-.0507387{col 67}{space 3} .0766633
{txt}{space 9}y16 {c |}{col 14}{res}{space 2}-.0270827{col 26}{space 2} .0296156{col 37}{space 1}   -0.91{col 46}{space 3}0.362{col 54}{space 4}-.0855083{col 67}{space 3} .0313429
{txt}b_commtg_z_d {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 1}c_tfull_hc2 {c |}{col 14}{res}{space 2} .1588835{col 26}{space 2} .0502019{col 37}{space 1}    3.16{col 46}{space 3}0.002{col 54}{space 4} .0598453{col 67}{space 3} .2579218
{txt}c_tfull_b_~l {c |}{col 14}{res}{space 2} .0352293{col 26}{space 2} .0717358{col 37}{space 1}    0.49{col 46}{space 3}0.624{col 54}{space 4}-.1062911{col 67}{space 3} .1767498
{txt}c_tfull_b_~s {c |}{col 14}{res}{space 2}-.0504381{col 26}{space 2} .0866923{col 37}{space 1}   -0.58{col 46}{space 3}0.561{col 54}{space 4}-.2214647{col 67}{space 3} .1205885
{txt}c_tfull_b_~d {c |}{col 14}{res}{space 2} .0041363{col 26}{space 2} .0407962{col 37}{space 1}    0.10{col 46}{space 3}0.919{col 54}{space 4}-.0763465{col 67}{space 3} .0846191
{txt}c_tfull_ed~r {c |}{col 14}{res}{space 2}  .000026{col 26}{space 2} .0018476{col 37}{space 1}    0.01{col 46}{space 3}0.989{col 54}{space 4}-.0036189{col 67}{space 3} .0036709
{txt}c_tfull_b_~x {c |}{col 14}{res}{space 2} .0054715{col 26}{space 2} .0112771{col 37}{space 1}    0.49{col 46}{space 3}0.628{col 54}{space 4} -.016776{col 67}{space 3} .0277191
{txt}c_trea~l_hc2 {c |}{col 14}{res}{space 2}-.0333568{col 26}{space 2} .0623408{col 37}{space 1}   -0.54{col 46}{space 3}0.593{col 54}{space 4}-.1563426{col 67}{space 3} .0896291
{txt}c_treatful.. {c |}{col 14}{res}{space 2}-.0179508{col 26}{space 2} .0780301{col 37}{space 1}   -0.23{col 46}{space 3}0.818{col 54}{space 4}-.1718887{col 67}{space 3}  .135987
{txt}c_treatful.. {c |}{col 14}{res}{space 2} .1127507{col 26}{space 2} .0836046{col 37}{space 1}    1.35{col 46}{space 3}0.179{col 54}{space 4}-.0521845{col 67}{space 3}  .277686
{txt}c_treatful.. {c |}{col 14}{res}{space 2} .0741268{col 26}{space 2} .0491225{col 37}{space 1}    1.51{col 46}{space 3}0.133{col 54}{space 4} -.022782{col 67}{space 3} .1710356
{txt}c_treatful.. {c |}{col 14}{res}{space 2} .0019724{col 26}{space 2}  .002837{col 37}{space 1}    0.70{col 46}{space 3}0.488{col 54}{space 4}-.0036244{col 67}{space 3} .0075692
{txt}c_treatful.. {c |}{col 14}{res}{space 2} .0103195{col 26}{space 2} .0168157{col 37}{space 1}    0.61{col 46}{space 3}0.540{col 54}{space 4}-.0228546{col 67}{space 3} .0434935
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} .0293611{col 26}{space 2} .0208311{col 37}{space 1}    1.41{col 46}{space 3}0.160{col 54}{space 4}-.0117344{col 67}{space 3} .0704567
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{com}.                 
.         eststo clear
{txt}
{com}.         
.         foreach x in `indices_hc' {c -(}
{txt}  2{com}.                 areg `x' t_16 y16 `e_controls_tfull_hc' ``var'_hc_int_e_controls' if uniquehc == 1, robust a(district)
{txt}  3{com}.                 local n_dd_`x' = string(`e(N)',"%9.0fc")
{txt}  4{com}.                 local b_dd_`x' = string(_b[t_16],"%9.3fc")
{txt}  5{com}.                 local se_dd_`x' =string(_se[t_16],"%9.3fc")
{txt}  6{com}.                 local p_dd_`x' = (2 * ttail(e(df_r), abs(_b[t_16]/_se[t_16])))
{txt}  7{com}.                         
.                 if `p_dd_`x'' <= 0.1 & `p_dd_`x'' > 0.05{c -(}
{txt}  8{com}.                         local b_dd_`x' `b_dd_`x''*
{txt}  9{com}.                 {c )-}
{txt} 10{com}.         
.                 if `p_dd_`x'' <= 0.05 & `p_dd_`x'' > 0.01{c -(}
{txt} 11{com}.                         local b_dd_`x' `b_dd_`x''**
{txt} 12{com}.                 {c )-}
{txt} 13{com}.                 
.                 if `p_dd_`x'' <= 0.01 & `p_dd_`x'' > 0 {c -(}
{txt} 14{com}.                         local b_dd_`x' `b_dd_`x''***
{txt} 15{com}.                 {c )-}
{txt} 16{com}.                 
.                 local csb_dd_`x' = string(_b[_cons],"%9.3fc")
{txt} 17{com}.                 local csse_dd_`x' =string(_se[_cons],"%9.3fc")
{txt} 18{com}.                 local p_dd_`x' = (2 * ttail(e(df_r), abs(_b[_cons]/_se[_cons])))
{txt} 19{com}.                         
.                 if `p_dd_`x'' <= 0.1 & `p_dd_`x'' > 0.05{c -(}
{txt} 20{com}.                         local csb_dd_`x' `csb_dd_`x''*
{txt} 21{com}.                 {c )-}
{txt} 22{com}.         
.                 if `p_dd_`x'' <= 0.05 & `p_dd_`x'' > 0.01{c -(}
{txt} 23{com}.                         local csb_dd_`x' `csb_dd_`x''**
{txt} 24{com}.                 {c )-}
{txt} 25{com}.                 
.                 if `p_dd_`x'' <= 0.01 & `p_dd_`x'' > 0 {c -(}
{txt} 26{com}.                         local csb_dd_`x' `csb_dd_`x''***
{txt} 27{com}.                 {c )-}
{txt} 28{com}.                 
.                 {c )-}
{res}
{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}       374
{txt}{col 49}F({res}  14{txt},{res}    344{txt}){col 67}= {res}      1.04
{txt}{col 49}Prob > F{col 67}= {res}    0.4115
{txt}{col 49}R-squared{col 67}= {res}    0.0806
{txt}{col 49}Adj R-squared{col 67}= {res}    0.0031
{txt}{col 49}Root MSE{col 67}= {res}    0.0609

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1} mortrate_05{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 8}t_16 {c |}{col 14}{res}{space 2}-.0080152{col 26}{space 2} .0083284{col 37}{space 1}   -0.96{col 46}{space 3}0.337{col 54}{space 4}-.0243962{col 67}{space 3} .0083659
{txt}{space 9}y16 {c |}{col 14}{res}{space 2} .0179033{col 26}{space 2} .0076086{col 37}{space 1}    2.35{col 46}{space 3}0.019{col 54}{space 4}  .002938{col 67}{space 3} .0328686
{txt}c_tful~c_hc2 {c |}{col 14}{res}{space 2}  .013944{col 26}{space 2} .0118381{col 37}{space 1}    1.18{col 46}{space 3}0.240{col 54}{space 4}-.0093402{col 67}{space 3} .0372282
{txt}c_tfull_hc~l {c |}{col 14}{res}{space 2} .0150578{col 26}{space 2} .0154954{col 37}{space 1}    0.97{col 46}{space 3}0.332{col 54}{space 4}-.0154198{col 67}{space 3} .0455354
{txt}c_tfull_hc~s {c |}{col 14}{res}{space 2} .0045104{col 26}{space 2}  .015348{col 37}{space 1}    0.29{col 46}{space 3}0.769{col 54}{space 4}-.0256774{col 67}{space 3} .0346982
{txt}c_tfull_hc~d {c |}{col 14}{res}{space 2}  .043135{col 26}{space 2} .0362173{col 37}{space 1}    1.19{col 46}{space 3}0.234{col 54}{space 4}-.0281002{col 67}{space 3} .1143701
{txt}c_tfull_hc~r {c |}{col 14}{res}{space 2} -.001593{col 26}{space 2} .0046047{col 37}{space 1}   -0.35{col 46}{space 3}0.730{col 54}{space 4}-.0106499{col 67}{space 3} .0074638
{txt}c_tfull_hc~x {c |}{col 14}{res}{space 2} .0035781{col 26}{space 2} .0142045{col 37}{space 1}    0.25{col 46}{space 3}0.801{col 54}{space 4}-.0243606{col 67}{space 3} .0315167
{txt}c_trea~c_hc2 {c |}{col 14}{res}{space 2} .0013422{col 26}{space 2} .0151612{col 37}{space 1}    0.09{col 46}{space 3}0.930{col 54}{space 4}-.0284781{col 67}{space 3} .0311625
{txt}c_treatful.. {c |}{col 14}{res}{space 2}-.0191823{col 26}{space 2} .0192051{col 37}{space 1}   -1.00{col 46}{space 3}0.319{col 54}{space 4}-.0569566{col 67}{space 3} .0185919
{txt}c_treatful.. {c |}{col 14}{res}{space 2} .0011642{col 26}{space 2} .0230436{col 37}{space 1}    0.05{col 46}{space 3}0.960{col 54}{space 4}  -.04416{col 67}{space 3} .0464883
{txt}c_treatful.. {c |}{col 14}{res}{space 2}-.0597842{col 26}{space 2} .0759496{col 37}{space 1}   -0.79{col 46}{space 3}0.432{col 54}{space 4}-.2091682{col 67}{space 3} .0895999
{txt}c_treatful.. {c |}{col 14}{res}{space 2} .0022169{col 26}{space 2} .0067336{col 37}{space 1}    0.33{col 46}{space 3}0.742{col 54}{space 4}-.0110273{col 67}{space 3} .0154611
{txt}c_treatful.. {c |}{col 14}{res}{space 2}-.0080934{col 26}{space 2}  .019817{col 37}{space 1}   -0.41{col 46}{space 3}0.683{col 54}{space 4}-.0470711{col 67}{space 3} .0308843
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} .0448382{col 26}{space 2}  .004755{col 37}{space 1}    9.43{col 46}{space 3}0.000{col 54}{space 4} .0354856{col 67}{space 3} .0541908
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)
{res}
{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}       374
{txt}{col 49}F({res}  14{txt},{res}    344{txt}){col 67}= {res}      1.13
{txt}{col 49}Prob > F{col 67}= {res}    0.3341
{txt}{col 49}R-squared{col 67}= {res}    0.0918
{txt}{col 49}Adj R-squared{col 67}= {res}    0.0153
{txt}{col 49}Root MSE{col 67}= {res}    0.7129

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}h_ctzpress~z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 8}t_16 {c |}{col 14}{res}{space 2}-.1134387{col 26}{space 2}  .102368{col 37}{space 1}   -1.11{col 46}{space 3}0.269{col 54}{space 4}-.3147848{col 67}{space 3} .0879073
{txt}{space 9}y16 {c |}{col 14}{res}{space 2}-.0401632{col 26}{space 2} .0847076{col 37}{space 1}   -0.47{col 46}{space 3}0.636{col 54}{space 4}-.2067731{col 67}{space 3} .1264468
{txt}c_tful~c_hc2 {c |}{col 14}{res}{space 2} .0707499{col 26}{space 2} .1361354{col 37}{space 1}    0.52{col 46}{space 3}0.604{col 54}{space 4}-.1970127{col 67}{space 3} .3385126
{txt}c_tfull_hc~l {c |}{col 14}{res}{space 2} .2724824{col 26}{space 2}  .165038{col 37}{space 1}    1.65{col 46}{space 3}0.100{col 54}{space 4}-.0521282{col 67}{space 3} .5970929
{txt}c_tfull_hc~s {c |}{col 14}{res}{space 2} .1937276{col 26}{space 2} .1729372{col 37}{space 1}    1.12{col 46}{space 3}0.263{col 54}{space 4}-.1464199{col 67}{space 3} .5338751
{txt}c_tfull_hc~d {c |}{col 14}{res}{space 2}-.8767688{col 26}{space 2}  .485904{col 37}{space 1}   -1.80{col 46}{space 3}0.072{col 54}{space 4}-1.832486{col 67}{space 3} .0789479
{txt}c_tfull_hc~r {c |}{col 14}{res}{space 2}-.0726778{col 26}{space 2} .0567105{col 37}{space 1}   -1.28{col 46}{space 3}0.201{col 54}{space 4}-.1842208{col 67}{space 3} .0388653
{txt}c_tfull_hc~x {c |}{col 14}{res}{space 2} .0892824{col 26}{space 2}  .176826{col 37}{space 1}    0.50{col 46}{space 3}0.614{col 54}{space 4}-.2585138{col 67}{space 3} .4370787
{txt}c_trea~c_hc2 {c |}{col 14}{res}{space 2}-.0836554{col 26}{space 2}  .183634{col 37}{space 1}   -0.46{col 46}{space 3}0.649{col 54}{space 4}-.4448422{col 67}{space 3} .2775314
{txt}c_treatful.. {c |}{col 14}{res}{space 2}-.4355883{col 26}{space 2} .1915976{col 37}{space 1}   -2.27{col 46}{space 3}0.024{col 54}{space 4}-.8124386{col 67}{space 3} -.058738
{txt}c_treatful.. {c |}{col 14}{res}{space 2}  .013496{col 26}{space 2} .2062883{col 37}{space 1}    0.07{col 46}{space 3}0.948{col 54}{space 4}-.3922491{col 67}{space 3} .4192411
{txt}c_treatful.. {c |}{col 14}{res}{space 2} .9346764{col 26}{space 2} .8159794{col 37}{space 1}    1.15{col 46}{space 3}0.253{col 54}{space 4}-.6702605{col 67}{space 3} 2.539613
{txt}c_treatful.. {c |}{col 14}{res}{space 2} .1270435{col 26}{space 2} .0841524{col 37}{space 1}    1.51{col 46}{space 3}0.132{col 54}{space 4}-.0384745{col 67}{space 3} .2925615
{txt}c_treatful.. {c |}{col 14}{res}{space 2}-.0925214{col 26}{space 2} .2276708{col 37}{space 1}   -0.41{col 46}{space 3}0.685{col 54}{space 4}-.5403236{col 67}{space 3} .3552807
{txt}{space 7}_cons {c |}{col 14}{res}{space 2}  .042427{col 26}{space 2} .0545078{col 37}{space 1}    0.78{col 46}{space 3}0.437{col 54}{space 4}-.0647836{col 67}{space 3} .1496375
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{com}.         
.         **************
.         * Individual *
.         **************
.         
.         * Health outcome
.         
.         * We load the dataset. This is the light version
.         
.         use "${c -(}usedata{c )-}/healthoutcome_endline_ind.dta", clear
{txt}
{com}.         
.         * In this part, we regress the outcomes over the full treatment vs control
.         
.         local var treatfull
{txt}
{com}.         
.         local x healthoutcome_z
{txt}
{com}.         
.         * At endline:
.         
.         **************
.         * No control *
.         **************
.         
.         eststo clear
{txt}
{com}. 
.                 areg  e_`x' `var' b_`x', robust cl(hc_id) a(district)

{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}     4,930
{txt}{col 49}F({res}   2{txt},{res}    186{txt}){col 67}= {res}     18.73
{txt}{col 49}Prob > F{col 67}= {res}    0.0000
{txt}{col 49}R-squared{col 67}= {res}    0.0110
{txt}{col 49}Adj R-squared{col 67}= {res}    0.0076
{txt}{col 49}Root MSE{col 67}= {res}    0.9469

{txt}{ralign 78:(Std. Err. adjusted for {res:187} clusters in hc_id)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}e_healthou~z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2} -.014145{col 26}{space 2} .0284685{col 37}{space 1}   -0.50{col 46}{space 3}0.620{col 54}{space 4}-.0703077{col 67}{space 3} .0420178
{txt}b_healthou~z {c |}{col 14}{res}{space 2} .0911876{col 26}{space 2} .0149292{col 37}{space 1}    6.11{col 46}{space 3}0.000{col 54}{space 4} .0617352{col 67}{space 3}   .12064
{txt}{space 7}_cons {c |}{col 14}{res}{space 2}-.0003394{col 26}{space 2} .0222957{col 37}{space 1}   -0.02{col 46}{space 3}0.988{col 54}{space 4}-.0443244{col 67}{space 3} .0436455
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{com}.                 local n_nocon_`x' = string(`e(N)',"%9.0fc")
{txt}
{com}.                 local b_nocon_`x' = string(_b[treatfull],"%9.3fc")
{txt}
{com}.                 local se_nocon_`x' =string(_se[treatfull],"%9.3fc")
{txt}
{com}.                 local p_nocon_`x' = (2 * ttail(e(df_r), abs(_b[treatfull]/_se[treatfull])))
{txt}
{com}.                         
.                 if `p_nocon_`x'' <= 0.1 & `p_nocon_`x'' > 0.05{c -(}
.                         local b_nocon_`x' `b_nocon_`x''*
.                 {c )-}
{txt}
{com}.         
.                 if `p_nocon_`x'' <= 0.05 & `p_nocon_`x'' > 0.01{c -(}
.                         local b_nocon_`x' `b_nocon_`x''**
.                 {c )-}
{txt}
{com}.                 
.                 if `p_nocon_`x'' <= 0.01 & `p_nocon_`x'' > 0 {c -(}
.                         local b_nocon_`x' `b_nocon_`x''***
.                 {c )-}
{txt}
{com}.                 
.                 local csb_nocon_`x' = string(_b[_cons],"%9.3fc")
{txt}
{com}.                 local csse_nocon_`x' =string(_se[_cons],"%9.3fc")
{txt}
{com}.                 local p_nocon_`x' = (2 * ttail(e(df_r), abs(_b[_cons]/_se[_cons])))
{txt}
{com}.                         
.                 if `p_nocon_`x'' <= 0.1 & `p_nocon_`x'' > 0.05{c -(}
.                         local csb_nocon_`x' `csb_nocon_`x''*
.                 {c )-}
{txt}
{com}.         
.                 if `p_nocon_`x'' <= 0.05 & `p_nocon_`x'' > 0.01{c -(}
.                         local csb_nocon_`x' `csb_nocon_`x''**
.                 {c )-}
{txt}
{com}.                 
.                 if `p_nocon_`x'' <= 0.01 & `p_nocon_`x'' > 0 {c -(}
.                         local csb_nocon_`x' `csb_nocon_`x''***
.                 {c )-}
{txt}
{com}.                 
.         
.         *********
.         * No FE *
.         *********
.         
.         * We define the control variable
.         
.         local var treatfull
{txt}
{com}.         
.         local x healthoutcome_z
{txt}
{com}.         
.         eststo clear
{txt}
{com}.         
.                 reg  e_`x' `var' b_`x' `e_controls_tfull' ``var'_int_e_controls', cl(hc_id) robust

{txt}Linear regression                               Number of obs     = {res}     4,930
                                                {txt}F(14, 186)        =  {res}     7.25
                                                {txt}Prob > F          = {res}    0.0000
                                                {txt}R-squared         = {res}    0.0160
                                                {txt}Root MSE          =    {res} .94421

{txt}{ralign 78:(Std. Err. adjusted for {res:187} clusters in hc_id)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}e_healthou~z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2}-.0140122{col 26}{space 2} .0289737{col 37}{space 1}   -0.48{col 46}{space 3}0.629{col 54}{space 4}-.0711715{col 67}{space 3} .0431472
{txt}b_healthou~z {c |}{col 14}{res}{space 2} .0864002{col 26}{space 2} .0151087{col 37}{space 1}    5.72{col 46}{space 3}0.000{col 54}{space 4} .0565937{col 67}{space 3} .1162066
{txt}{space 1}c_tfull_hc2 {c |}{col 14}{res}{space 2} .0449325{col 26}{space 2} .0520421{col 37}{space 1}    0.86{col 46}{space 3}0.389{col 54}{space 4}-.0577362{col 67}{space 3} .1476012
{txt}c_tfull_b_~l {c |}{col 14}{res}{space 2}-.0124517{col 26}{space 2} .0679206{col 37}{space 1}   -0.18{col 46}{space 3}0.855{col 54}{space 4}-.1464455{col 67}{space 3} .1215421
{txt}c_tfull_b_~s {c |}{col 14}{res}{space 2} .0141322{col 26}{space 2} .0701198{col 37}{space 1}    0.20{col 46}{space 3}0.840{col 54}{space 4}-.1242001{col 67}{space 3} .1524645
{txt}c_tfull_b_~d {c |}{col 14}{res}{space 2}-.0366874{col 26}{space 2} .0830921{col 37}{space 1}   -0.44{col 46}{space 3}0.659{col 54}{space 4}-.2006114{col 67}{space 3} .1272366
{txt}c_tfull_ed~r {c |}{col 14}{res}{space 2} .0084526{col 26}{space 2} .0057025{col 37}{space 1}    1.48{col 46}{space 3}0.140{col 54}{space 4}-.0027974{col 67}{space 3} .0197025
{txt}c_tfull_b_~x {c |}{col 14}{res}{space 2} .0791928{col 26}{space 2} .0253161{col 37}{space 1}    3.13{col 46}{space 3}0.002{col 54}{space 4} .0292493{col 67}{space 3} .1291363
{txt}c_trea~l_hc2 {c |}{col 14}{res}{space 2} -.092652{col 26}{space 2} .0687581{col 37}{space 1}   -1.35{col 46}{space 3}0.179{col 54}{space 4} -.228298{col 67}{space 3} .0429939
{txt}c_treatful.. {c |}{col 14}{res}{space 2}-.0703484{col 26}{space 2} .0810548{col 37}{space 1}   -0.87{col 46}{space 3}0.387{col 54}{space 4}-.2302533{col 67}{space 3} .0895565
{txt}c_treatful.. {c |}{col 14}{res}{space 2}-.0300626{col 26}{space 2} .0817757{col 37}{space 1}   -0.37{col 46}{space 3}0.714{col 54}{space 4}-.1913898{col 67}{space 3} .1312645
{txt}c_treatful.. {c |}{col 14}{res}{space 2}-.0837389{col 26}{space 2} .1059706{col 37}{space 1}   -0.79{col 46}{space 3}0.430{col 54}{space 4}-.2927977{col 67}{space 3} .1253199
{txt}c_treatful.. {c |}{col 14}{res}{space 2}-.0004311{col 26}{space 2} .0072706{col 37}{space 1}   -0.06{col 46}{space 3}0.953{col 54}{space 4}-.0147745{col 67}{space 3} .0139123
{txt}c_treatful.. {c |}{col 14}{res}{space 2} -.053822{col 26}{space 2}  .030657{col 37}{space 1}   -1.76{col 46}{space 3}0.081{col 54}{space 4}-.1143021{col 67}{space 3} .0066581
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} .0004044{col 26}{space 2} .0226133{col 37}{space 1}    0.02{col 46}{space 3}0.986{col 54}{space 4}-.0442072{col 67}{space 3}  .045016
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}.                 local n_nofe_`x' = string(`e(N)',"%9.0fc")
{txt}
{com}.                 local b_nofe_`x' = string(_b[treatfull],"%9.3fc")
{txt}
{com}.                 local se_nofe_`x' =string(_se[treatfull],"%9.3fc")
{txt}
{com}.                 local p_nofe_`x' = (2 * ttail(e(df_r), abs(_b[treatfull]/_se[treatfull])))
{txt}
{com}.                         
.                 if `p_nofe_`x'' <= 0.1 & `p_nofe_`x'' > 0.05{c -(}
.                         local b_nofe_`x' `b_nofe_`x''*
.                 {c )-}
{txt}
{com}.         
.                 if `p_nofe_`x'' <= 0.05 & `p_nofe_`x'' > 0.01{c -(}
.                         local b_nofe_`x' `b_nofe_`x''**
.                 {c )-}
{txt}
{com}.                 
.                 if `p_nofe_`x'' <= 0.01 & `p_nofe_`x'' > 0 {c -(}
.                         local b_nofe_`x' `b_nofe_`x''***
.                 {c )-}
{txt}
{com}.                 
.                 local csb_nofe_`x' = string(_b[_cons],"%9.3fc")
{txt}
{com}.                 local csse_nofe_`x' =string(_se[_cons],"%9.3fc")
{txt}
{com}.                 local p_nofe_`x' = (2 * ttail(e(df_r), abs(_b[_cons]/_se[_cons])))
{txt}
{com}.                         
.                 if `p_nofe_`x'' <= 0.1 & `p_nofe_`x'' > 0.05{c -(}
.                         local csb_nofe_`x' `csb_nofe_`x''*
.                 {c )-}
{txt}
{com}.         
.                 if `p_nofe_`x'' <= 0.05 & `p_nofe_`x'' > 0.01{c -(}
.                         local csb_nofe_`x' `csb_nofe_`x''**
.                 {c )-}
{txt}
{com}.                 
.                 if `p_nofe_`x'' <= 0.01 & `p_nofe_`x'' > 0 {c -(}
.                         local csb_nofe_`x' `csb_nofe_`x''***
.                 {c )-}
{txt}
{com}. 
.         * We define the control variable
.         
.         local  e_controls_noprefix hc2 b_h_del b_h_staff_houses b_visited_d educyr b_assetindex
{txt}
{com}.                 
.         foreach x in e_ {c -(}
{txt}  2{com}.         
.                 local `x'controls_tfull
{txt}  3{com}.                 
.                 {c )-}
{txt}
{com}.                 
.         foreach x in e_ {c -(}
{txt}  2{com}.                 foreach var in treatfull {c -(}
{txt}  3{com}.                         local `var'_int_`x'controls
{txt}  4{com}.                                                 {c )-}
{txt}  5{com}.                 {c )-}
{txt}
{com}.                 
.         foreach var of local e_controls_noprefix {c -(}
{txt}  2{com}.                 local e_controls_tfull `e_controls_tfull' c_tfull_`var'
{txt}  3{com}.                         {c )-}       
{txt}
{com}.                                 
.         foreach treat in treatfull {c -(}
{txt}  2{com}.                 foreach var of local e_controls_noprefix {c -(}
{txt}  3{com}.                         local `treat'_int_e_controls ``treat'_int_e_controls' c_`treat'_`var'
{txt}  4{com}.                                 {c )-}
{txt}  5{com}.                 {c )-}
{txt}
{com}.         
.         
.         local var treatfull
{txt}
{com}.         
.         local x healthoutcome_z
{txt}
{com}.         
.         eststo clear
{txt}
{com}.         
.         areg  e_`x' `var' b_`x' `e_controls_tfull' ``var'_int_e_controls', cl(hc_id) robust a(district)

{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}     4,930
{txt}{col 49}F({res}  14{txt},{res}    186{txt}){col 67}= {res}      8.26
{txt}{col 49}Prob > F{col 67}= {res}    0.0000
{txt}{col 49}R-squared{col 67}= {res}    0.0189
{txt}{col 49}Adj R-squared{col 67}= {res}    0.0131
{txt}{col 49}Root MSE{col 67}= {res}    0.9443

{txt}{ralign 78:(Std. Err. adjusted for {res:187} clusters in hc_id)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}e_healthou~z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2}-.0100833{col 26}{space 2} .0275876{col 37}{space 1}   -0.37{col 46}{space 3}0.715{col 54}{space 4}-.0645081{col 67}{space 3} .0443414
{txt}b_healthou~z {c |}{col 14}{res}{space 2} .0898838{col 26}{space 2} .0148095{col 37}{space 1}    6.07{col 46}{space 3}0.000{col 54}{space 4} .0606676{col 67}{space 3} .1191001
{txt}{space 1}c_tfull_hc2 {c |}{col 14}{res}{space 2} .0644713{col 26}{space 2} .0571282{col 37}{space 1}    1.13{col 46}{space 3}0.261{col 54}{space 4}-.0482313{col 67}{space 3} .1771738
{txt}c_tfull_b_~l {c |}{col 14}{res}{space 2} .0156525{col 26}{space 2}  .073539{col 37}{space 1}    0.21{col 46}{space 3}0.832{col 54}{space 4}-.1294253{col 67}{space 3} .1607302
{txt}c_tfull_b_~s {c |}{col 14}{res}{space 2}-.0115966{col 26}{space 2} .0807891{col 37}{space 1}   -0.14{col 46}{space 3}0.886{col 54}{space 4}-.1709774{col 67}{space 3} .1477842
{txt}c_tfull_b_~d {c |}{col 14}{res}{space 2}-.0396616{col 26}{space 2} .0834736{col 37}{space 1}   -0.48{col 46}{space 3}0.635{col 54}{space 4}-.2043383{col 67}{space 3} .1250151
{txt}c_tfull_ed~r {c |}{col 14}{res}{space 2}  .008264{col 26}{space 2}  .005783{col 37}{space 1}    1.43{col 46}{space 3}0.155{col 54}{space 4}-.0031446{col 67}{space 3} .0196726
{txt}c_tfull_b_~x {c |}{col 14}{res}{space 2} .0834407{col 26}{space 2}  .025769{col 37}{space 1}    3.24{col 46}{space 3}0.001{col 54}{space 4} .0326036{col 67}{space 3} .1342779
{txt}c_trea~l_hc2 {c |}{col 14}{res}{space 2}-.1030186{col 26}{space 2} .0682118{col 37}{space 1}   -1.51{col 46}{space 3}0.133{col 54}{space 4}-.2375868{col 67}{space 3} .0315496
{txt}c_treatful.. {c |}{col 14}{res}{space 2}-.0952362{col 26}{space 2} .0800478{col 37}{space 1}   -1.19{col 46}{space 3}0.236{col 54}{space 4}-.2531545{col 67}{space 3}  .062682
{txt}c_treatful.. {c |}{col 14}{res}{space 2}-.0085454{col 26}{space 2}  .083154{col 37}{space 1}   -0.10{col 46}{space 3}0.918{col 54}{space 4}-.1725917{col 67}{space 3} .1555009
{txt}c_treatful.. {c |}{col 14}{res}{space 2}-.0787691{col 26}{space 2} .1057471{col 37}{space 1}   -0.74{col 46}{space 3}0.457{col 54}{space 4} -.287387{col 67}{space 3} .1298487
{txt}c_treatful.. {c |}{col 14}{res}{space 2} .0001869{col 26}{space 2} .0072098{col 37}{space 1}    0.03{col 46}{space 3}0.979{col 54}{space 4}-.0140365{col 67}{space 3} .0144104
{txt}c_treatful.. {c |}{col 14}{res}{space 2}-.0547717{col 26}{space 2} .0303221{col 37}{space 1}   -1.81{col 46}{space 3}0.072{col 54}{space 4} -.114591{col 67}{space 3} .0050477
{txt}{space 7}_cons {c |}{col 14}{res}{space 2}-.0014622{col 26}{space 2} .0216592{col 37}{space 1}   -0.07{col 46}{space 3}0.946{col 54}{space 4}-.0441914{col 67}{space 3} .0412671
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{com}.                 local n_nocovint_`x' = string(`e(N)',"%9.0fc")
{txt}
{com}.                 local b_nocovint_`x' = string(_b[treatfull],"%9.3fc")
{txt}
{com}.                 local se_nocovint_`x' =string(_se[treatfull],"%9.3fc")
{txt}
{com}.                 local p_nocovint_`x' = (2 * ttail(e(df_r), abs(_b[treatfull]/_se[treatfull])))
{txt}
{com}.                         
.                 if `p_nocovint_`x'' <= 0.1 & `p_nocovint_`x'' > 0.05{c -(}
.                         local b_nocovint_`x' `b_nocovint_`x''*
.                 {c )-}
{txt}
{com}.         
.                 if `p_nocovint_`x'' <= 0.05 & `p_nocovint_`x'' > 0.01{c -(}
.                         local b_nocovint_`x' `b_nocovint_`x''**
.                 {c )-}
{txt}
{com}.                 
.                 if `p_nocovint_`x'' <= 0.01 & `p_nocovint_`x'' > 0 {c -(}
.                         local b_nocovint_`x' `b_nocovint_`x''***
.                 {c )-}
{txt}
{com}.                 
.                 local csb_nocovint_`x' = string(_b[_cons],"%9.3fc")
{txt}
{com}.                 local csse_nocovint_`x' =string(_se[_cons],"%9.3fc")
{txt}
{com}.                 local p_nocovint_`x' = (2 * ttail(e(df_r), abs(_b[_cons]/_se[_cons])))
{txt}
{com}.                         
.                 if `p_nocovint_`x'' <= 0.1 & `p_nocovint_`x'' > 0.05{c -(}
.                         local csb_nocovint_`x' `csb_nocovint_`x''*
.                 {c )-}
{txt}
{com}.         
.                 if `p_nocovint_`x'' <= 0.05 & `p_nocovint_`x'' > 0.01{c -(}
.                         local csb_nocovint_`x' `csb_nocovint_`x''**
.                 {c )-}
{txt}
{com}.                 
.                 if `p_nocovint_`x'' <= 0.01 & `p_nocovint_`x'' > 0 {c -(}
.                         local csb_nocovint_`x' `csb_nocovint_`x''***
.                 {c )-}
{txt}
{com}.         
.         *************************
.         * Agregated at HC level *
.         *************************
.         
.         preserve
{txt}
{com}.         
.         ** Our first step is to create the mean at HC level
.         
.         byso hc_id : egen tmean_e_`x' = mean(e_`x') 
{txt}
{com}.         byso hc_id : egen mean_e_`x' = max(tmean_e_`x')
{txt}
{com}.         
.         byso hc_id : egen tmean_b_`x' = mean(b_`x')
{txt}
{com}.         byso hc_id : egen mean_b_`x' = max(tmean_b_`x')
{txt}
{com}.         
.         drop tmean_*
{txt}
{com}.         
.         * We need to do the same at hc level
.         
.         local controls hc2 b_h_del b_h_staff_houses b_visited_d educyr b_assetindex
{txt}
{com}.         
.         * We create unique hh as we are at child level
.         
.         byso hh_id: gen count = _n
{txt}
{com}.         
.         * We will remove the mean from the control variable
.         
.         * Full treatment ( we don't need to create a endline presence as we already have a sample with only household present)
. 
.         foreach var of local controls {c -(}
{txt}  2{com}.                 byso hc_id: egen temp_mean_`var' = mean(`var') if treatfull != . & count == 1
{txt}  3{com}.                 byso hc_id: egen t_mean_`var' = max(temp_mean_`var') if treatfull != .
{txt}  4{com}.                 qui sum t_mean_`var' if treatfull != . & uniquehc == 1
{txt}  5{com}.                 gen c_tfull_hc_`var' = t_mean_`var' - `r(mean)'
{txt}  6{com}.                 lab var c_tfull_hc_`var' "Control variable of `var' minus its mean in the full treatment at hc level"
{txt}  7{com}.                 drop t_mean_`var' temp_mean_`var'
{txt}  8{com}.                 {c )-}
{txt}(12546 missing values generated)
(9357 missing values generated)
(9,357 missing values generated)
(12546 missing values generated)
(9357 missing values generated)
(9,357 missing values generated)
(12546 missing values generated)
(9357 missing values generated)
(9,357 missing values generated)
note: label truncated to 80 characters
(12546 missing values generated)
(9357 missing values generated)
(9,357 missing values generated)
(12546 missing values generated)
(9357 missing values generated)
(9,357 missing values generated)
(12546 missing values generated)
(9357 missing values generated)
(9,357 missing values generated)
note: label truncated to 80 characters

{com}.                 
.         drop count
{txt}
{com}.         
.         * Full treatment
.         
.         foreach x of local controls {c -(}
{txt}  2{com}.                         gen c_treatfull_hc_`x' = treatfull * c_tfull_hc_`x'
{txt}  3{com}.                         lab var c_treatfull_hc_`x' "Interaction term of contral variable `x' with treatment at hc level"
{txt}  4{com}.                         {c )-}
{txt}(9,357 missing values generated)
(9,357 missing values generated)
(9,357 missing values generated)
(9,357 missing values generated)
(9,357 missing values generated)
(9,357 missing values generated)

{com}.         
.         * We take care of duplicates 
.         
.         duplicates drop hh_id uniquehc, force

{p 0 4}{txt}Duplicates in terms of {res} hh_id uniquehc{p_end}

{txt}(6,438 observations deleted)

{com}.         
.         drop uniquehc 
{txt}
{com}.         
.         egen uniquehc = tag(hc_id) if endline_presence == 1
{txt}
{com}.         recode uniquehc(.=0)
{txt}(uniquehc: 0 changes made)

{com}.         lab var uniquehc "Unique HC"
{txt}
{com}.         
.         * We local the variable
.         
.         local var treatfull
{txt}
{com}.         
.         local x healthoutcome_z
{txt}
{com}.         
.         eststo clear
{txt}
{com}.         
.                 areg  mean_e_`x' `var' mean_b_`x' `e_controls_tfull_hc' ``var'_hc_int_e_controls' if uniquehc == 1, robust a(district)
{res}
{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}       187
{txt}{col 49}F({res}  14{txt},{res}    157{txt}){col 67}= {res}      2.12
{txt}{col 49}Prob > F{col 67}= {res}    0.0132
{txt}{col 49}R-squared{col 67}= {res}    0.2287
{txt}{col 49}Adj R-squared{col 67}= {res}    0.0862
{txt}{col 49}Root MSE{col 67}= {res}    0.1984

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}mean_e_hea~z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2}-.0104759{col 26}{space 2} .0286735{col 37}{space 1}   -0.37{col 46}{space 3}0.715{col 54}{space 4}-.0671114{col 67}{space 3} .0461597
{txt}mean_b_hea~z {c |}{col 14}{res}{space 2} .0231602{col 26}{space 2} .0307546{col 37}{space 1}    0.75{col 46}{space 3}0.453{col 54}{space 4}-.0375859{col 67}{space 3} .0839063
{txt}c_tful~c_hc2 {c |}{col 14}{res}{space 2} .1097289{col 26}{space 2} .0567936{col 37}{space 1}    1.93{col 46}{space 3}0.055{col 54}{space 4}-.0024492{col 67}{space 3}  .221907
{txt}c_tfull_hc~l {c |}{col 14}{res}{space 2} .0157658{col 26}{space 2} .0727705{col 37}{space 1}    0.22{col 46}{space 3}0.829{col 54}{space 4}-.1279698{col 67}{space 3} .1595013
{txt}c_tfull_hc~s {c |}{col 14}{res}{space 2} .0025979{col 26}{space 2} .0857681{col 37}{space 1}    0.03{col 46}{space 3}0.976{col 54}{space 4}-.1668103{col 67}{space 3}  .172006
{txt}c_tfull_hc~d {c |}{col 14}{res}{space 2} .4746263{col 26}{space 2} .2296677{col 37}{space 1}    2.07{col 46}{space 3}0.040{col 54}{space 4}  .020989{col 67}{space 3} .9282635
{txt}c_tfull_hc~r {c |}{col 14}{res}{space 2} .0502489{col 26}{space 2} .0310412{col 37}{space 1}    1.62{col 46}{space 3}0.108{col 54}{space 4}-.0110634{col 67}{space 3} .1115611
{txt}c_tfull_hc~x {c |}{col 14}{res}{space 2} .1007131{col 26}{space 2}  .078345{col 37}{space 1}    1.29{col 46}{space 3}0.201{col 54}{space 4}-.0540331{col 67}{space 3} .2554594
{txt}c_trea~c_hc2 {c |}{col 14}{res}{space 2}-.1248594{col 26}{space 2} .0743897{col 37}{space 1}   -1.68{col 46}{space 3}0.095{col 54}{space 4}-.2717931{col 67}{space 3} .0220743
{txt}c_treatful.. {c |}{col 14}{res}{space 2}-.0587543{col 26}{space 2} .0851601{col 37}{space 1}   -0.69{col 46}{space 3}0.491{col 54}{space 4}-.2269616{col 67}{space 3}  .109453
{txt}c_treatful.. {c |}{col 14}{res}{space 2}-.0142347{col 26}{space 2} .0954752{col 37}{space 1}   -0.15{col 46}{space 3}0.882{col 54}{space 4}-.2028163{col 67}{space 3}  .174347
{txt}c_treatful.. {c |}{col 14}{res}{space 2}-.7122132{col 26}{space 2} .3452193{col 37}{space 1}   -2.06{col 46}{space 3}0.041{col 54}{space 4}-1.394087{col 67}{space 3}-.0303398
{txt}c_treatful.. {c |}{col 14}{res}{space 2}-.0837332{col 26}{space 2}  .034815{col 37}{space 1}   -2.41{col 46}{space 3}0.017{col 54}{space 4}-.1524995{col 67}{space 3} -.014967
{txt}c_treatful.. {c |}{col 14}{res}{space 2} .0795702{col 26}{space 2} .0889293{col 37}{space 1}    0.89{col 46}{space 3}0.372{col 54}{space 4} -.096082{col 67}{space 3} .2552224
{txt}{space 7}_cons {c |}{col 14}{res}{space 2}-.0023525{col 26}{space 2} .0217522{col 37}{space 1}   -0.11{col 46}{space 3}0.914{col 54}{space 4}-.0453172{col 67}{space 3} .0406122
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{com}.                 local n_mean_`x' = string(`e(N)',"%9.0fc")
{txt}
{com}.                 local b_mean_`x' = string(_b[treatfull],"%9.3fc")
{txt}
{com}.                 local se_mean_`x' =string(_se[treatfull],"%9.3fc")
{txt}
{com}.                 local p_mean_`x' = (2 * ttail(e(df_r), abs(_b[treatfull]/_se[treatfull])))
{txt}
{com}.                         
.                 if `p_mean_`x'' <= 0.1 & `p_mean_`x'' > 0.05{c -(}
.                         local b_mean_`x' `b_mean_`x''*
.                 {c )-}
{txt}
{com}.         
.                 if `p_mean_`x'' <= 0.05 & `p_mean_`x'' > 0.01{c -(}
.                         local b_mean_`x' `b_mean_`x''**
.                 {c )-}
{txt}
{com}.                 
.                 if `p_mean_`x'' <= 0.01 & `p_mean_`x'' > 0 {c -(}
.                         local b_mean_`x' `b_mean_`x''***
.                 {c )-}
{txt}
{com}.                 
.                 local csb_mean_`x' = string(_b[_cons],"%9.3fc")
{txt}
{com}.                 local csse_mean_`x' =string(_se[_cons],"%9.3fc")
{txt}
{com}.                 local p_mean_`x' = (2 * ttail(e(df_r), abs(_b[_cons]/_se[_cons])))
{txt}
{com}.                         
.                 if `p_mean_`x'' <= 0.1 & `p_mean_`x'' > 0.05{c -(}
.                         local csb_mean_`x' `csb_mean_`x''*
.                 {c )-}
{txt}
{com}.         
.                 if `p_mean_`x'' <= 0.05 & `p_mean_`x'' > 0.01{c -(}
.                         local csb_mean_`x' `csb_mean_`x''**
.                 {c )-}
{txt}
{com}.                 
.                 if `p_mean_`x'' <= 0.01 & `p_mean_`x'' > 0 {c -(}
.                         local csb_mean_`x' `csb_mean_`x''***
.                 {c )-}
{txt}
{com}.                 
.         restore
{txt}
{com}.         
.         ***********************************
.         * Diff in Diff endline - baseline *
.         ***********************************
. 
.         local var treatfull
{txt}
{com}.         
.         local x healthoutcome_z
{txt}
{com}.         
.         keep hh_id hc_id e_healthoutcome_z b_healthoutcome_z `e_controls_tfull' ``var'_int_e_controls'  district uniquehc treatfull endline_presence
{txt}
{com}.         
.         gen nomeasure_endline = (b_healthoutcome_z == . | e_healthoutcome_z == .)
{txt}
{com}.         replace nomeasure_endline = 1 if endline_presence == 0
{txt}(0 real changes made)

{com}.         
.         ren b_`x' `x'_b
{res}{txt}
{com}.         ren e_`x' `x'_e
{res}{txt}
{com}.         
.         * Creating a new id to reshape
.         
.         byso hh_id: gen temp = _n
{txt}
{com}.         
.         tostring hh_id temp, replace
{txt}hh_id was {res:long} now {res:str5}
temp was {res:float} now {res:str1}

{com}.         
.         replace hh_id = hh_id + temp
{txt}variable {bf}hh_id{sf} was {bf}{res}str5{sf}{txt} now {bf}{res}str6{sf}
{txt}(18,551 real changes made)

{com}.         
.         destring hh_id, replace
{txt}hh_id: all characters numeric; {res}replaced {txt}as {res}long
{txt}
{com}.         
.         drop temp
{txt}
{com}.         
.         * Reshape
.         
.         reshape long healthoutcome_z , i(hh_id) j(num) s
{txt}(note: j = _b _e)

Data{col 36}wide{col 43}->{col 48}long
{hline 77}
Number of obs.                 {res}   18551   {txt}->{res}   37102
{txt}Number of variables            {res}      21   {txt}->{res}      21
{txt}j variable (2 values)                     ->   {res}num
{txt}xij variables:
    {res}healthoutcome_z_b healthoutcome_z_e   {txt}->   {res}healthoutcome_z
{txt}{hline 77}

{com}.         
.         gen y16 = (num == "_e")
{txt}
{com}.         
.         drop num
{txt}
{com}.         
.         gen t_16 = treatfull*y16
{txt}(18,714 missing values generated)

{com}.         
.                 areg `x' t_16 y16 `e_controls_tfull' ``var'_int_e_controls' if endline_presence == 1, robust cl(hc_id) a(district)

{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}     9,860
{txt}{col 49}F({res}  14{txt},{res}    186{txt}){col 67}= {res}      2.23
{txt}{col 49}Prob > F{col 67}= {res}    0.0082
{txt}{col 49}R-squared{col 67}= {res}    0.0239
{txt}{col 49}Adj R-squared{col 67}= {res}    0.0210
{txt}{col 49}Root MSE{col 67}= {res}    0.9307

{txt}{ralign 78:(Std. Err. adjusted for {res:187} clusters in hc_id)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}healthoutc~z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 8}t_16 {c |}{col 14}{res}{space 2}-.0225445{col 26}{space 2} .0342754{col 37}{space 1}   -0.66{col 46}{space 3}0.512{col 54}{space 4} -.090163{col 67}{space 3}  .045074
{txt}{space 9}y16 {c |}{col 14}{res}{space 2} -.021981{col 26}{space 2} .0494187{col 37}{space 1}   -0.44{col 46}{space 3}0.657{col 54}{space 4}-.1194743{col 67}{space 3} .0755123
{txt}{space 1}c_tfull_hc2 {c |}{col 14}{res}{space 2} .0757036{col 26}{space 2} .0923239{col 37}{space 1}    0.82{col 46}{space 3}0.413{col 54}{space 4} -.106433{col 67}{space 3} .2578402
{txt}c_tfull_b_~l {c |}{col 14}{res}{space 2}-.0564777{col 26}{space 2}  .119339{col 37}{space 1}   -0.47{col 46}{space 3}0.637{col 54}{space 4}-.2919098{col 67}{space 3} .1789543
{txt}c_tfull_b_~s {c |}{col 14}{res}{space 2} .1419167{col 26}{space 2} .1257955{col 37}{space 1}    1.13{col 46}{space 3}0.261{col 54}{space 4}-.1062528{col 67}{space 3} .3900862
{txt}c_tfull_b_~d {c |}{col 14}{res}{space 2}-.0356248{col 26}{space 2} .0730229{col 37}{space 1}   -0.49{col 46}{space 3}0.626{col 54}{space 4}-.1796844{col 67}{space 3} .1084348
{txt}c_tfull_ed~r {c |}{col 14}{res}{space 2} .0099035{col 26}{space 2} .0040503{col 37}{space 1}    2.45{col 46}{space 3}0.015{col 54}{space 4} .0019131{col 67}{space 3} .0178939
{txt}c_tfull_b_~x {c |}{col 14}{res}{space 2} .0332826{col 26}{space 2} .0205641{col 37}{space 1}    1.62{col 46}{space 3}0.107{col 54}{space 4}-.0072862{col 67}{space 3} .0738514
{txt}c_treatful~2 {c |}{col 14}{res}{space 2}-.0236423{col 26}{space 2} .1109469{col 37}{space 1}   -0.21{col 46}{space 3}0.831{col 54}{space 4}-.2425183{col 67}{space 3} .1952337
{txt}c_treatful~l {c |}{col 14}{res}{space 2} .0447408{col 26}{space 2} .1249713{col 37}{space 1}    0.36{col 46}{space 3}0.721{col 54}{space 4}-.2018026{col 67}{space 3} .2912842
{txt}c_treatful~s {c |}{col 14}{res}{space 2}-.1587681{col 26}{space 2} .1318943{col 37}{space 1}   -1.20{col 46}{space 3}0.230{col 54}{space 4}-.4189692{col 67}{space 3} .1014329
{txt}c_treatful~d {c |}{col 14}{res}{space 2}-.0111263{col 26}{space 2} .0895658{col 37}{space 1}   -0.12{col 46}{space 3}0.901{col 54}{space 4}-.1878217{col 67}{space 3}  .165569
{txt}c_treatful~r {c |}{col 14}{res}{space 2}-.0016227{col 26}{space 2} .0054525{col 37}{space 1}   -0.30{col 46}{space 3}0.766{col 54}{space 4}-.0123794{col 67}{space 3} .0091341
{txt}c_treatful~x {c |}{col 14}{res}{space 2}-.0204729{col 26}{space 2} .0269305{col 37}{space 1}   -0.76{col 46}{space 3}0.448{col 54}{space 4}-.0736013{col 67}{space 3} .0326556
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} .0279708{col 26}{space 2} .0403826{col 37}{space 1}    0.69{col 46}{space 3}0.489{col 54}{space 4}-.0516959{col 67}{space 3} .1076376
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{com}.                 local n_dd_`x' = string(`e(N)',"%9.0fc")
{txt}
{com}.                 local b_dd_`x' = string(_b[t_16],"%9.3fc")
{txt}
{com}.                 local se_dd_`x' =string(_se[t_16],"%9.3fc")
{txt}
{com}.                 local p_dd_`x' = (2 * ttail(e(df_r), abs(_b[t_16]/_se[t_16])))
{txt}
{com}.                         
.                 if `p_dd_`x'' <= 0.1 & `p_dd_`x'' > 0.05{c -(}
.                         local b_dd_`x' `b_dd_`x''*
.                 {c )-}
{txt}
{com}.         
.                 if `p_dd_`x'' <= 0.05 & `p_dd_`x'' > 0.01{c -(}
.                         local b_dd_`x' `b_dd_`x''**
.                 {c )-}
{txt}
{com}.                 
.                 if `p_dd_`x'' <= 0.01 & `p_dd_`x'' > 0 {c -(}
.                         local b_dd_`x' `b_dd_`x''***
.                 {c )-}
{txt}
{com}.                 
.                 local csb_dd_`x' = string(_b[_cons],"%9.3fc")
{txt}
{com}.                 local csse_dd_`x' =string(_se[_cons],"%9.3fc")
{txt}
{com}.                 local p_dd_`x' = (2 * ttail(e(df_r), abs(_b[_cons]/_se[_cons])))
{txt}
{com}.                         
.                 if `p_dd_`x'' <= 0.1 & `p_dd_`x'' > 0.05{c -(}
.                         local csb_dd_`x' `csb_dd_`x''*
.                 {c )-}
{txt}
{com}.         
.                 if `p_dd_`x'' <= 0.05 & `p_dd_`x'' > 0.01{c -(}
.                         local csb_dd_`x' `csb_dd_`x''**
.                 {c )-}
{txt}
{com}.                 
.                 if `p_dd_`x'' <= 0.01 & `p_dd_`x'' > 0 {c -(}
.                         local csb_dd_`x' `csb_dd_`x''***
.                 {c )-}
{txt}
{com}.         
.         * Child mortality
.         
.         * We load the dataset. This is the light version
.         
.         use "${c -(}usedata{c )-}/mortality_endline_ind.dta", clear
{txt}
{com}.         
.         * In this part, we regress the outcomes over the full treatment vs control
.         
.         local var treatfull
{txt}
{com}.         
.         local x mortrate_z
{txt}
{com}.         
.         local controls_noprefix hc2 b_h_del b_h_staff_houses b_visited_d educyr b_assetindex
{txt}
{com}.         
.         foreach bracket in 05 {c -(}
{txt}  2{com}.                 local controls_tfull`bracket'
{txt}  3{com}.                 {c )-}
{txt}
{com}. 
.         foreach bracket in 05 {c -(}
{txt}  2{com}.                 foreach var in treatfull {c -(}
{txt}  3{com}.                         local `var'_`bracket'_controls
{txt}  4{com}.                         {c )-}
{txt}  5{com}.                 {c )-}
{txt}
{com}.                 
.         foreach bracket in 05 {c -(}
{txt}  2{com}.                 foreach var of local controls_noprefix {c -(}
{txt}  3{com}.                         local controls_tfull`bracket' `controls_tfull`bracket'' c_tfull`bracket'_`var'
{txt}  4{com}.                         {c )-}
{txt}  5{com}.                 {c )-}
{txt}
{com}.         
.         foreach bracket in 05 {c -(}
{txt}  2{com}.                 foreach treat in treatfull {c -(}
{txt}  3{com}.                         foreach var of local controls_noprefix {c -(}
{txt}  4{com}.                                 local `treat'_`bracket'_controls ``treat'_`bracket'_controls' c_`treat'`bracket'_`var'
{txt}  5{com}.                                 {c )-}
{txt}  6{com}.                         {c )-}
{txt}  7{com}.                 {c )-}
{txt}
{com}.                 
.         * At endline:
.         
.         **************
.         * No control *
.         **************
.         
.         eststo clear
{txt}
{com}. 
.                 stset e_survmonths_ab_05, failure(dead_endline==1) id(childroster_id)

                {txt}id:  {res}childroster_id
     {txt}failure event:  {res}dead_endline == 1
{txt}obs. time interval:  {res}(e_survmonths_ab_05[_n-1], e_survmonths_ab_05]
{txt} exit on or before:  {res}failure

{txt}{hline 78}
{res}      20478{txt}  total observations
{res}        107{txt}  event time missing (e_survmonths_ab_05>=.)         PROBABLE ERROR
{hline 78}
{res}      20371{txt}  observations remaining, representing
{res}      20371{txt}  subjects
{res}        229{txt}  failures in single-failure-per-subject data
{res}     371556{txt}  total analysis time at risk and under observation
                                                at risk from t = {res}        0
                                     {txt}earliest observed entry t = {res}        0
                                          {txt}last observed exit t = {res}       26
{txt}
{com}.                 stcox treatfull b_mortrate_05 e_birthmonth  if e_agebracket_05 == 1, vce(cluster hc_id)

         {txt}failure _d:  {res}dead_endline == 1
   {txt}analysis time _t:  {res}e_survmonths_ab_05
                 {txt}id:  {res}childroster_id

{txt}Iteration 0:   log pseudolikelihood = {res}-1057.7817
{txt}Iteration 1:   log pseudolikelihood = {res}-1057.6244
{txt}Iteration 2:   log pseudolikelihood = {res}-1057.6244
{txt}Refining estimates:
Iteration 0:   log pseudolikelihood = {res}-1057.6244

{txt}Cox regression -- Breslow method for ties

No. of subjects      = {res}      10,118             {txt}Number of obs    =  {res}    10,118
{txt}No. of failures      = {res}         118
{txt}Time at risk         = {res}      184479
                                                {txt}Wald chi2({res}3{txt})     =  {res}      0.23
{txt}Log pseudolikelihood =   {res}-1057.6244             {txt}Prob > chi2      =  {res}    0.9729

{txt}{ralign 78:(Std. Err. adjusted for {res:187} clusters in hc_id)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}          _t{col 14}{c |} Haz. Ratio{col 26}   Std. Err.{col 38}      z{col 46}   P>|z|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2} 1.049986{col 26}{space 2} .2146826{col 37}{space 1}    0.24{col 46}{space 3}0.811{col 54}{space 4} .7033066{col 67}{space 3} 1.567553
{txt}b_mortrat~05 {c |}{col 14}{res}{space 2} .7132369{col 26}{space 2} 1.192113{col 37}{space 1}   -0.20{col 46}{space 3}0.840{col 54}{space 4} .0269479{col 67}{space 3} 18.87744
{txt}e_birthmonth {c |}{col 14}{res}{space 2} 1.012062{col 26}{space 2} .0276533{col 37}{space 1}    0.44{col 46}{space 3}0.661{col 54}{space 4} .9592884{col 67}{space 3} 1.067739
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}.                 
.                 local n_nocon_`x' = string(`e(N)',"%9.0fc")
{txt}
{com}.                 local b_nocon_`x' = string(exp(_b[treatfull]),"%9.3fc")
{txt}
{com}.                 
.                 local se_nocon_`x' exp(_b[treatfull])*_se[treatfull]
{txt}
{com}.                 local se_nocon_`x' = string(`se_nocon_`x'',"%9.3fc")
{txt}
{com}.                 
.                 local p_nocon_`x' = 0.811
{txt}
{com}.                         
.                 if `p_nocon_`x'' <= 0.1 & `p_nocon_`x'' > 0.05{c -(}
.                         local b_nocon_`x' `b_nocon_`x''*
.                 {c )-}
{txt}
{com}.         
.                 if `p_nocon_`x'' <= 0.05 & `p_nocon_`x'' > 0.01{c -(}
.                         local b_nocon_`x' `b_nocon_`x''**
.                 {c )-}
{txt}
{com}.                 
.                 if `p_nocon_`x'' <= 0.01 & `p_nocon_`x'' > 0 {c -(}
.                         local b_nocon_`x' `b_nocon_`x''***
.                 {c )-}
{txt}
{com}.                 
.                 local csb_nocon_`x' = "n/a"
{txt}
{com}.                 local csse_nocon_`x' = "n/a"
{txt}
{com}.         
.         *********
.         * No FE *
.         *********
.         
.         eststo clear
{txt}
{com}.         
.                 stset e_survmonths_ab_05, failure(dead_endline==1) id(childroster_id)

                {txt}id:  {res}childroster_id
     {txt}failure event:  {res}dead_endline == 1
{txt}obs. time interval:  {res}(e_survmonths_ab_05[_n-1], e_survmonths_ab_05]
{txt} exit on or before:  {res}failure

{txt}{hline 78}
{res}      20478{txt}  total observations
{res}        107{txt}  event time missing (e_survmonths_ab_05>=.)         PROBABLE ERROR
{hline 78}
{res}      20371{txt}  observations remaining, representing
{res}      20371{txt}  subjects
{res}        229{txt}  failures in single-failure-per-subject data
{res}     371556{txt}  total analysis time at risk and under observation
                                                at risk from t = {res}        0
                                     {txt}earliest observed entry t = {res}        0
                                          {txt}last observed exit t = {res}       26
{txt}
{com}.                 stcox treatfull `controls_tfull05' `treatfull_05_controls' b_mortrate_05 e_birthmonth if e_agebracket_05 == 1, vce(cluster hc_id)

         {txt}failure _d:  {res}dead_endline == 1
   {txt}analysis time _t:  {res}e_survmonths_ab_05
                 {txt}id:  {res}childroster_id

{txt}Iteration 0:   log pseudolikelihood = {res}-1057.7817
{txt}Iteration 1:   log pseudolikelihood = {res} -1044.136
{txt}Iteration 2:   log pseudolikelihood = {res}-1043.8103
{txt}Iteration 3:   log pseudolikelihood = {res}-1043.8094
{txt}Iteration 4:   log pseudolikelihood = {res}-1043.8094
{txt}Refining estimates:
Iteration 0:   log pseudolikelihood = {res}-1043.8094

{txt}Cox regression -- Breslow method for ties

No. of subjects      = {res}      10,118             {txt}Number of obs    =  {res}    10,118
{txt}No. of failures      = {res}         118
{txt}Time at risk         = {res}      184479
                                                {txt}Wald chi2({res}15{txt})    =  {res}     26.74
{txt}Log pseudolikelihood =   {res}-1043.8094             {txt}Prob > chi2      =  {res}    0.0309

{txt}{ralign 78:(Std. Err. adjusted for {res:187} clusters in hc_id)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}          _t{col 14}{c |} Haz. Ratio{col 26}   Std. Err.{col 38}      z{col 46}   P>|z|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2} 1.058965{col 26}{space 2} .2386071{col 37}{space 1}    0.25{col 46}{space 3}0.799{col 54}{space 4} .6809072{col 67}{space 3}  1.64693
{txt}c_tfull05_~2 {c |}{col 14}{res}{space 2} 1.073285{col 26}{space 2} .4046006{col 37}{space 1}    0.19{col 46}{space 3}0.851{col 54}{space 4} .5126659{col 67}{space 3} 2.246963
{txt}c_tfull05_~l {c |}{col 14}{res}{space 2}  1.39356{col 26}{space 2} .5813595{col 37}{space 1}    0.80{col 46}{space 3}0.426{col 54}{space 4} .6152122{col 67}{space 3} 3.156649
{txt}c_tfull05_~s {c |}{col 14}{res}{space 2} 1.263697{col 26}{space 2} .6326303{col 37}{space 1}    0.47{col 46}{space 3}0.640{col 54}{space 4} .4737135{col 67}{space 3}  3.37109
{txt}c_tfull05_~d {c |}{col 14}{res}{space 2} .4809056{col 26}{space 2} .2015143{col 37}{space 1}   -1.75{col 46}{space 3}0.081{col 54}{space 4}  .211534{col 67}{space 3}   1.0933
{txt}c_tfull05_~r {c |}{col 14}{res}{space 2} .9797958{col 26}{space 2} .0279112{col 37}{space 1}   -0.72{col 46}{space 3}0.474{col 54}{space 4}   .92659{col 67}{space 3} 1.036057
{txt}c_tfull05_~x {c |}{col 14}{res}{space 2} .6655516{col 26}{space 2} .1267664{col 37}{space 1}   -2.14{col 46}{space 3}0.033{col 54}{space 4} .4581998{col 67}{space 3} .9667373
{txt}c_tr~l05_hc2 {c |}{col 14}{res}{space 2} 1.394156{col 26}{space 2} .6878412{col 37}{space 1}    0.67{col 46}{space 3}0.501{col 54}{space 4} .5300905{col 67}{space 3} 3.666676
{txt}c_treatful.. {c |}{col 14}{res}{space 2} .7723248{col 26}{space 2}  .385476{col 37}{space 1}   -0.52{col 46}{space 3}0.605{col 54}{space 4} .2903727{col 67}{space 3} 2.054207
{txt}c_treatful.. {c |}{col 14}{res}{space 2} .8652581{col 26}{space 2} .5233605{col 37}{space 1}   -0.24{col 46}{space 3}0.811{col 54}{space 4} .2644158{col 67}{space 3} 2.831418
{txt}c_treatful.. {c |}{col 14}{res}{space 2} 2.488371{col 26}{space 2} 1.657888{col 37}{space 1}    1.37{col 46}{space 3}0.171{col 54}{space 4} .6742153{col 67}{space 3} 9.183996
{txt}c_treatful.. {c |}{col 14}{res}{space 2} .9629054{col 26}{space 2} .0415139{col 37}{space 1}   -0.88{col 46}{space 3}0.381{col 54}{space 4} .8848826{col 67}{space 3} 1.047808
{txt}c_treatful.. {c |}{col 14}{res}{space 2} 1.119458{col 26}{space 2} .2737068{col 37}{space 1}    0.46{col 46}{space 3}0.644{col 54}{space 4} .6932495{col 67}{space 3} 1.807699
{txt}b_mortrat~05 {c |}{col 14}{res}{space 2} .8108441{col 26}{space 2} 1.386829{col 37}{space 1}   -0.12{col 46}{space 3}0.902{col 54}{space 4} .0283846{col 67}{space 3} 23.16285
{txt}e_birthmonth {c |}{col 14}{res}{space 2} 1.009223{col 26}{space 2} .0279873{col 37}{space 1}    0.33{col 46}{space 3}0.741{col 54}{space 4} .9558331{col 67}{space 3} 1.065595
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}.                 
.                 local n_nofe_`x' = string(`e(N)',"%9.0fc")
{txt}
{com}.                 local b_nofe_`x' = string(exp(_b[treatfull]),"%9.3fc")
{txt}
{com}.                 local se_nofe_`x' exp(_b[treatfull])*_se[treatfull]
{txt}
{com}.                 local se_nofe_`x' = string(`se_nofe_`x'',"%9.3fc")
{txt}
{com}.                 
.                 local p_nofe_`x' = 0.799
{txt}
{com}.                         
.                 if `p_nofe_`x'' <= 0.1 & `p_nofe_`x'' > 0.05{c -(}
.                         local b_nofe_`x' `b_nofe_`x''*
.                 {c )-}
{txt}
{com}.         
.                 if `p_nofe_`x'' <= 0.05 & `p_nofe_`x'' > 0.01{c -(}
.                         local b_nofe_`x' `b_nofe_`x''**
.                 {c )-}
{txt}
{com}.                 
.                 if `p_nofe_`x'' <= 0.01 & `p_nofe_`x'' > 0 {c -(}
.                         local b_nofe_`x' `b_nofe_`x''***
.                 {c )-}
{txt}
{com}.                 
.                 local csb_nofe_`x' = "n/a"
{txt}
{com}.                 local csse_nofe_`x' = "n/a"
{txt}
{com}.                 
.                 
.         * We outsheet the results
.         
.         * We include the version with child mortality indicator at hc level
.         
.         texdoc init "${c -(}tables{c )-}/TableI28.tex", replace force
{res}{txt}(texdoc output file is /Users/fredericcochinard/Dropbox/ACT_Health_JOP_replication_file/3.Tables and Figures/Tables/TableI28.tex)
{res}{txt}
{com}.         tex \begin{c -(}table{c )-}[htbp]\centering
{res}{txt}
{com}.         tex \small
{res}{txt}
{com}.         tex \def\sym#1{c -(}\ifmmode^{c -(}#1{c )-}\else\(^{c -(}#1{c )-}\)\fi{c )-}
{res}{txt}
{com}.         tex \caption{c -(}Robustness checks -- Main outcomes{c )-}
{res}{txt}
{com}.         tex \begin{c -(}tabular{c )-}{c -(}lggggggg{c )-}
{res}{txt}
{com}.         tex \toprule
{res}{txt}
{com}.         tex                                                                                       & (1)                       & (2)                                                          & (3)                                                             & (4)                                                        & (5) & (6) & (7)                        \\
{res}{txt}
{com}.     tex                              & \textbf{c -(}\begin{c -(}tabular{c )-}[c]{c -(}@{c -(}{c )-}c@{c -(}{c )-}{c )-}Citizen \\ monitoring\end{c -(}tabular{c )-}{c )-} & \textbf{c -(}\begin{c -(}tabular{c )-}[c]{c -(}@{c -(}{c )-}c@{c -(}{c )-}{c )-}Perceived \\ citizen \\ pressure\end{c -(}tabular{c )-}{c )-} & \textbf{c -(}Utilization{c )-}      & \textbf{c -(}\begin{c -(}tabular{c )-}[c]{c -(}@{c -(}{c )-}c@{c -(}{c )-}{c )-}Treatment \\ quality\end{c -(}tabular{c )-}{c )-} & \textbf{c -(}\begin{c -(}tabular{c )-}[c]{c -(}@{c -(}{c )-}c@{c -(}{c )-}{c )-}Patient \\ satisfaction\end{c -(}tabular{c )-}{c )-} & \textbf{c -(}\begin{c -(}tabular{c )-}[c]{c -(}@{c -(}{c )-}c@{c -(}{c )-}{c )-}Health \\ outcomes\end{c -(}tabular{c )-}{c )-} & \textbf{c -(}\begin{c -(}tabular{c )-}[c]{c -(}@{c -(}{c )-}c@{c -(}{c )-}{c )-}Child \\ mortality\end{c -(}tabular{c )-}{c )-}        \\
{res}{txt}
{com}.         tex \midrule
{res}{txt}
{com}.         tex \textit{c -(}A: Without control variables{c )-} \\
{res}{txt}
{com}.         tex \multirow{c -(}2{c )-}{c -(}*{c )-}{c -(}Program impact{c )-}  &`b_nocon_commtg_z' &`b_nocon_h_ctzpressure_z' &`b_nocon_urate_z'           & `b_nocon_treatqual_z'                                                            & `b_nocon_patsat_z'                                                               & `b_nocon_healthoutcome_z'                                                          & `b_nocon_mortrate_05'         \\
{res}{txt}
{com}.         tex  & (`se_nocon_commtg_z') & (`se_nocon_h_ctzpressure_z') & (`se_nocon_urate_z')           & (`se_nocon_treatqual_z')                                                            & (`se_nocon_patsat_z')                                                               & (`se_nocon_healthoutcome_z')                                                          & (`se_nocon_mortrate_05')         \\
{res}{txt}
{com}.         tex \multirow{c -(}2{c )-}{c -(}*{c )-}{c -(}Constant{c )-}   &`csb_nocon_commtg_z' &`csb_nocon_h_ctzpressure_z' &`csb_nocon_urate_z'           & `csb_nocon_treatqual_z'                                                            & `csb_nocon_patsat_z'                                                               & `csb_nocon_healthoutcome_z'                                                          & `csb_nocon_mortrate_05'         \\
{res}{txt}
{com}.         tex  & (`csse_nocon_commtg_z') & (`csse_nocon_h_ctzpressure_z') & (`csse_nocon_urate_z')           & (`csse_nocon_treatqual_z')                                                            & (`csse_nocon_patsat_z')                                                               & (`csse_nocon_healthoutcome_z')                                                          & `csse_nocon_mortrate_05'         \\
{res}{txt}
{com}.         tex \\
{res}{txt}
{com}.         tex \textit{c -(}B: Without district fixed effects{c )-} \\
{res}{txt}
{com}.         tex \multirow{c -(}2{c )-}{c -(}*{c )-}{c -(}Program impact{c )-}  &`b_nofe_commtg_z' &`b_nofe_h_ctzpressure_z' &`b_nofe_urate_z'           & `b_nofe_treatqual_z'                                                            & `b_nofe_patsat_z'                                                               & `b_nofe_healthoutcome_z'                                                          & `b_nofe_mortrate_05'         \\
{res}{txt}
{com}.         tex  & (`se_nofe_commtg_z') & (`se_nofe_h_ctzpressure_z') & (`se_nofe_urate_z')           & (`se_nofe_treatqual_z')                                                            & (`se_nofe_patsat_z')                                                               & (`se_nofe_healthoutcome_z')                                                          & (`se_nofe_mortrate_05')         \\
{res}{txt}
{com}.         tex \multirow{c -(}2{c )-}{c -(}*{c )-}{c -(}Constant{c )-}   &`csb_nofe_commtg_z' &`csb_nofe_h_ctzpressure_z' &`csb_nofe_urate_z'           & `csb_nofe_treatqual_z'                                                            & `csb_nofe_patsat_z'                                                               & `csb_nofe_healthoutcome_z'                                                          & `csb_nofe_mortrate_05'         \\
{res}{txt}
{com}.         tex  & (`csse_nofe_commtg_z') & (`csse_nofe_h_ctzpressure_z') & (`csse_nofe_urate_z')           & (`csse_nofe_treatqual_z')                                                            & (`csse_nofe_patsat_z')                                                               & (`csse_nofe_healthoutcome_z')                                                          & `csse_nofe_mortrate_05'         \\
{res}{txt}
{com}.         tex \\ 
{res}{txt}
{com}.         tex \textit{c -(}C: With outcome measures aggregated at HC level{c )-} \\
{res}{txt}
{com}.         tex \multirow{c -(}2{c )-}{c -(}*{c )-}{c -(}Program impact{c )-}   &`b_mean_commtg_z' &`b_mean_h_ctzpressure_z' &`b_mean_urate_z'           & `b_mean_treatqual_z'                                                            & `b_mean_patsat_z'                                                               & `b_mean_healthoutcome_z'                                                          & `b_mean_mortrate_05'         \\
{res}{txt}
{com}.         tex  & (`se_mean_commtg_z') & (`se_mean_h_ctzpressure_z') & (`se_mean_urate_z')           & (`se_mean_treatqual_z')                                                            & (`se_mean_patsat_z')                                                               & (`se_mean_healthoutcome_z')                                                          & (`se_mean_mortrate_05')         \\
{res}{txt}
{com}.         tex \multirow{c -(}2{c )-}{c -(}*{c )-}{c -(}Constant{c )-}   &`csb_mean_commtg_z' &`csb_mean_h_ctzpressure_z' &`csb_mean_urate_z'           & `csb_mean_treatqual_z'                                                            & `csb_mean_patsat_z'                                                               & `csb_mean_healthoutcome_z'                                                          & `csb_mean_mortrate_05'         \\
{res}{txt}
{com}.         tex  &(`csse_mean_commtg_z') & (`csse_mean_h_ctzpressure_z') & (`csse_mean_urate_z')           & (`csse_mean_treatqual_z')                                                            & (`csse_mean_patsat_z')                                                               & (`csse_mean_healthoutcome_z')                                                          & (`csse_mean_mortrate_05')         \\
{res}{txt}
{com}.         tex \\ 
{res}{txt}
{com}.         tex \textit{c -(}D: Difference between post and pre-treatment values{c )-} \\
{res}{txt}
{com}.         tex \multirow{c -(}2{c )-}{c -(}*{c )-}{c -(}Program impact{c )-}   &`b_dd_commtg_z' &`b_dd_h_ctzpressure_z' &`b_dd_urate_z'           & `b_dd_treatqual_z'                                                            & `b_dd_patsat_z'                                                               & `b_dd_healthoutcome_z'                                                          & `b_dd_mortrate_05'         \\
{res}{txt}
{com}.         tex  & (`se_dd_commtg_z') & (`se_dd_h_ctzpressure_z') & (`se_dd_urate_z')           & (`se_dd_treatqual_z')                                                            & (`se_dd_patsat_z')                                                               & (`se_dd_healthoutcome_z')                                                          & (`se_dd_mortrate_05')         \\
{res}{txt}
{com}.         tex \multirow{c -(}2{c )-}{c -(}*{c )-}{c -(}Constant{c )-}   &`csb_dd_commtg_z' &`csb_dd_h_ctzpressure_z' &`csb_dd_urate_z'           & `csb_dd_treatqual_z'                                                            & `csb_dd_patsat_z'                                                               & `csb_dd_healthoutcome_z'                                                          & `csb_dd_mortrate_05'         \\
{res}{txt}
{com}.         tex  &(`csse_dd_commtg_z') & (`csse_dd_h_ctzpressure_z') & (`csse_dd_urate_z')           & (`csse_dd_treatqual_z')                                                            & (`csse_dd_patsat_z')                                                               & (`csse_dd_healthoutcome_z')                                                          & (`csse_dd_mortrate_05')         \\
{res}{txt}
{com}.                 tex \textit{c -(}E: Without control variable * treatment interaction{c )-} \\
{res}{txt}
{com}.         tex \multirow{c -(}2{c )-}{c -(}*{c )-}{c -(}Program impact{c )-}  &`b_nocovint_commtg_z' &`b_nocovint_h_ctzpressure_z' &`b_nocovint_urate_z'           & `b_nocovint_treatqual_z'                                                            & `b_nocovint_patsat_z'                                                               & `b_nocovint_healthoutcome_z'                                                          & `b_nocovint_mortrate_05'         \\
{res}{txt}
{com}.         tex  & (`se_nocovint_commtg_z') & (`se_nocovint_h_ctzpressure_z') & (`se_nocovint_urate_z')           & (`se_nocovint_treatqual_z')                                                            & (`se_nocovint_patsat_z')                                                               & (`se_nocovint_healthoutcome_z')                                                          & (`se_nocovint_mortrate_05')         \\
{res}{txt}
{com}.         tex \multirow{c -(}2{c )-}{c -(}*{c )-}{c -(}Constant{c )-}   &`csb_nocovint_commtg_z' &`csb_nocovint_h_ctzpressure_z' &`csb_nocovint_urate_z'           & `csb_nocovint_treatqual_z'                                                            & `csb_nocovint_patsat_z'                                                               & `csb_nocovint_healthoutcome_z'                                                          & `csb_nocovint_mortrate_05'         \\
{res}{txt}
{com}.         tex  & (`csse_nocovint_commtg_z') & (`csse_nocovint_h_ctzpressure_z') & (`csse_nocovint_urate_z')           & (`csse_nocovint_treatqual_z')                                                            & (`csse_nocovint_patsat_z')                                                               & (`csse_nocovint_healthoutcome_z')                                                          & `csse_nocovint_mortrate_05'         \\
{res}{txt}
{com}.         tex \\
{res}{txt}
{com}.         
.         
.         tex \midrule
{res}{txt}
{com}.         tex Observations (A, B \& E)  &`n_nocon_commtg_z' &`n_nocon_h_ctzpressure_z' &`n_nocon_urate_z'           & `n_nocon_treatqual_z'                                                            & `n_nocon_patsat_z'                                                               & `n_nocon_healthoutcome_z'                                                          & `n_nocon_mortrate_05'         \\
{res}{txt}
{com}.         tex Observations (C) &`n_mean_commtg_z' &`n_mean_h_ctzpressure_z' & `n_mean_urate_z'           & `n_mean_treatqual_z'                                                            & `n_mean_patsat_z'                                                               & `n_mean_healthoutcome_z'                                                          & `n_mean_mortrate_05'         \\
{res}{txt}
{com}.         tex Observations (D) &`n_dd_commtg_z' &`n_dd_h_ctzpressure_z' & `n_dd_urate_z'           & `n_dd_treatqual_z'                                                            & `n_dd_patsat_z'                                                               & `n_dd_healthoutcome_z'                                                          & `n_dd_mortrate_05'         \\
{res}{txt}
{com}.         tex \bottomrule
{res}{txt}
{com}.         tex \end{c -(}tabular{c )-}
{res}{txt}
{com}.         tex \end{c -(}table{c )-}
{res}{txt}
{com}.         texdoc close
{txt}(texdoc output written to {browse `"/Users/fredericcochinard/Dropbox/ACT_Health_JOP_replication_file/3.Tables and Figures/Tables/TableI28.tex"':/Users/fredericcochinard/Dropbox/ACT_Health_JOP_replication_file/3.Tables and Figures/Tables/TableI28.tex})
{res}{txt}
{com}.         
.         
.         ********************************************************
.         * Table I29: Robustness checks – Intermediate outcomes *
.         ********************************************************
.         
.         * At endline
.         
.         use "${c -(}usedata{c )-}/chp_el_light_dataset.dta", clear
{txt}
{com}.                 
.         **************
.         * No control *
.         **************
.         
.         local var treatfull
{txt}
{com}.         
.         eststo clear
{txt}
{com}. 
.         foreach x in `intermediate' {c -(}
{txt}  2{com}.                 areg  e_`x' `var' b_`x' b_`x'_d, robust cl(hc_id) a(district)
{txt}  3{com}.                 local n_nocon_`x' = `e(N)'
{txt}  4{com}.                 local b_nocon_`x' = string(_b[treatfull],"%9.3fc")
{txt}  5{com}.                 local se_nocon_`x' =string(_se[treatfull],"%9.3fc")
{txt}  6{com}.                 local p_nocon_`x' = (2 * ttail(e(df_r), abs(_b[treatfull]/_se[treatfull])))
{txt}  7{com}.                         
.                 if `p_nocon_`x'' <= 0.1 & `p_nocon_`x'' > 0.05{c -(}
{txt}  8{com}.                         local b_nocon_`x' `b_nocon_`x''*
{txt}  9{com}.                 {c )-}
{txt} 10{com}.         
.                 if `p_nocon_`x'' <= 0.05 & `p_nocon_`x'' > 0.01{c -(}
{txt} 11{com}.                         local b_nocon_`x' `b_nocon_`x''**
{txt} 12{com}.                 {c )-}
{txt} 13{com}.                 
.                 if `p_nocon_`x'' <= 0.01 & `p_nocon_`x'' > 0 {c -(}
{txt} 14{com}.                         local b_nocon_`x' `b_nocon_`x''***
{txt} 15{com}.                 {c )-}
{txt} 16{com}.                 
.                 local csb_nocon_`x' = string(_b[_cons],"%9.3fc")
{txt} 17{com}.                 local csse_nocon_`x' =string(_se[_cons],"%9.3fc")
{txt} 18{com}.                 local p_nocon_`x' = (2 * ttail(e(df_r), abs(_b[_cons]/_se[_cons])))
{txt} 19{com}.                         
.                 if `p_nocon_`x'' <= 0.1 & `p_nocon_`x'' > 0.05{c -(}
{txt} 20{com}.                         local csb_nocon_`x' `csb_nocon_`x''*
{txt} 21{com}.                 {c )-}
{txt} 22{com}.         
.                 if `p_nocon_`x'' <= 0.05 & `p_nocon_`x'' > 0.01{c -(}
{txt} 23{com}.                         local csb_nocon_`x' `csb_nocon_`x''**
{txt} 24{com}.                 {c )-}
{txt} 25{com}.                 
.                 if `p_nocon_`x'' <= 0.01 & `p_nocon_`x'' > 0 {c -(}
{txt} 26{com}.                         local csb_nocon_`x' `csb_nocon_`x''***
{txt} 27{com}.                 {c )-}
{txt} 28{com}.                 
.                 {c )-}
{txt}note: b_ctzknow_z_d omitted because of collinearity
{res}
{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}     7,288
{txt}{col 49}F({res}   2{txt},{res}    186{txt}){col 67}= {res}     27.22
{txt}{col 49}Prob > F{col 67}= {res}    0.0000
{txt}{col 49}R-squared{col 67}= {res}    0.1379
{txt}{col 49}Adj R-squared{col 67}= {res}    0.1359
{txt}{col 49}Root MSE{col 67}= {res}    0.6390

{txt}{ralign 78:(Std. Err. adjusted for {res:187} clusters in hc_id)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1} e_ctzknow_z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2}-.0625271{col 26}{space 2} .0333392{col 37}{space 1}   -1.88{col 46}{space 3}0.062{col 54}{space 4}-.1282986{col 67}{space 3} .0032445
{txt}{space 1}b_ctzknow_z {c |}{col 14}{res}{space 2} .0790836{col 26}{space 2} .0108702{col 37}{space 1}    7.28{col 46}{space 3}0.000{col 54}{space 4} .0576388{col 67}{space 3} .1005285
{txt}b_ctzknow_~d {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 7}_cons {c |}{col 14}{res}{space 2}-.0045862{col 26}{space 2} .0249306{col 37}{space 1}   -0.18{col 46}{space 3}0.854{col 54}{space 4}-.0537694{col 67}{space 3}  .044597
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)
note: b_eff_z_d omitted because of collinearity
{res}
{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}     7,288
{txt}{col 49}F({res}   2{txt},{res}    186{txt}){col 67}= {res}     20.92
{txt}{col 49}Prob > F{col 67}= {res}    0.0000
{txt}{col 49}R-squared{col 67}= {res}    0.0336
{txt}{col 49}Adj R-squared{col 67}= {res}    0.0314
{txt}{col 49}Root MSE{col 67}= {res}    0.6222

{txt}{ralign 78:(Std. Err. adjusted for {res:187} clusters in hc_id)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}     e_eff_z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2}-.0235666{col 26}{space 2} .0235703{col 37}{space 1}   -1.00{col 46}{space 3}0.319{col 54}{space 4}-.0700661{col 67}{space 3} .0229329
{txt}{space 5}b_eff_z {c |}{col 14}{res}{space 2} .0718142{col 26}{space 2} .0115004{col 37}{space 1}    6.24{col 46}{space 3}0.000{col 54}{space 4} .0491262{col 67}{space 3} .0945022
{txt}{space 3}b_eff_z_d {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 7}_cons {c |}{col 14}{res}{space 2}-.0000904{col 26}{space 2} .0156596{col 37}{space 1}   -0.01{col 46}{space 3}0.995{col 54}{space 4}-.0309836{col 67}{space 3} .0308028
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)
note: b_commresp_z_d omitted because of collinearity
{res}
{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}     7,288
{txt}{col 49}F({res}   2{txt},{res}    186{txt}){col 67}= {res}     18.54
{txt}{col 49}Prob > F{col 67}= {res}    0.0000
{txt}{col 49}R-squared{col 67}= {res}    0.0449
{txt}{col 49}Adj R-squared{col 67}= {res}    0.0426
{txt}{col 49}Root MSE{col 67}= {res}    0.7261

{txt}{ralign 78:(Std. Err. adjusted for {res:187} clusters in hc_id)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}e_commresp_z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2}-.0123267{col 26}{space 2} .0211441{col 37}{space 1}   -0.58{col 46}{space 3}0.561{col 54}{space 4}-.0540398{col 67}{space 3} .0293864
{txt}b_commresp_z {c |}{col 14}{res}{space 2} .0727128{col 26}{space 2}  .011986{col 37}{space 1}    6.07{col 46}{space 3}0.000{col 54}{space 4} .0490668{col 67}{space 3} .0963588
{txt}b_commresp~d {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 7}_cons {c |}{col 14}{res}{space 2}-.0020219{col 26}{space 2} .0140934{col 37}{space 1}   -0.14{col 46}{space 3}0.886{col 54}{space 4}-.0298253{col 67}{space 3} .0257815
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)
note: b_relhhhc_z_d omitted because of collinearity
{res}
{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}     7,288
{txt}{col 49}F({res}   2{txt},{res}    186{txt}){col 67}= {res}     14.92
{txt}{col 49}Prob > F{col 67}= {res}    0.0000
{txt}{col 49}R-squared{col 67}= {res}    0.0400
{txt}{col 49}Adj R-squared{col 67}= {res}    0.0378
{txt}{col 49}Root MSE{col 67}= {res}    0.5419

{txt}{ralign 78:(Std. Err. adjusted for {res:187} clusters in hc_id)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1} e_relhhhc_z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2} .0421937{col 26}{space 2} .0390241{col 37}{space 1}    1.08{col 46}{space 3}0.281{col 54}{space 4}-.0347929{col 67}{space 3} .1191804
{txt}{space 1}b_relhhhc_z {c |}{col 14}{res}{space 2} .0987883{col 26}{space 2}  .018107{col 37}{space 1}    5.46{col 46}{space 3}0.000{col 54}{space 4} .0630669{col 67}{space 3} .1345098
{txt}b_relhhhc_~d {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 7}_cons {c |}{col 14}{res}{space 2} .0023924{col 26}{space 2} .0277692{col 37}{space 1}    0.09{col 46}{space 3}0.931{col 54}{space 4}-.0523905{col 67}{space 3} .0571754
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{com}.                 
.         eststo clear
{txt}
{com}.                         
.         foreach x in `intermediate_hclevel' {c -(}
{txt}  2{com}.                 areg  e_`x' `var' b_`x' b_`x'_d if uniquehc == 1, robust a(district)
{txt}  3{com}.                 local n_nocon_`x' = `e(N)'
{txt}  4{com}.                 local b_nocon_`x' = string(_b[treatfull],"%9.3fc")
{txt}  5{com}.                 local se_nocon_`x' =string(_se[treatfull],"%9.3fc")
{txt}  6{com}.                 local p_nocon_`x' = (2 * ttail(e(df_r), abs(_b[treatfull]/_se[treatfull])))
{txt}  7{com}.                         
.                 if `p_nocon_`x'' <= 0.1 & `p_nocon_`x'' > 0.05{c -(}
{txt}  8{com}.                         local b_nocon_`x' `b_nocon_`x''*
{txt}  9{com}.                 {c )-}
{txt} 10{com}.         
.                 if `p_nocon_`x'' <= 0.05 & `p_nocon_`x'' > 0.01{c -(}
{txt} 11{com}.                         local b_nocon_`x' `b_nocon_`x''**
{txt} 12{com}.                 {c )-}
{txt} 13{com}.                 
.                 if `p_nocon_`x'' <= 0.01 & `p_nocon_`x'' > 0 {c -(}
{txt} 14{com}.                         local b_nocon_`x' `b_nocon_`x''***
{txt} 15{com}.                 {c )-}
{txt} 16{com}.                 
.                 local csb_nocon_`x' = string(_b[_cons],"%9.3fc")
{txt} 17{com}.                 local csse_nocon_`x' =string(_se[_cons],"%9.3fc")
{txt} 18{com}.                 local p_nocon_`x' = (2 * ttail(e(df_r), abs(_b[_cons]/_se[_cons])))
{txt} 19{com}.                         
.                 if `p_nocon_`x'' <= 0.1 & `p_nocon_`x'' > 0.05{c -(}
{txt} 20{com}.                         local csb_nocon_`x' `csb_nocon_`x''*
{txt} 21{com}.                 {c )-}
{txt} 22{com}.         
.                 if `p_nocon_`x'' <= 0.05 & `p_nocon_`x'' > 0.01{c -(}
{txt} 23{com}.                         local csb_nocon_`x' `csb_nocon_`x''**
{txt} 24{com}.                 {c )-}
{txt} 25{com}.                 
.                 if `p_nocon_`x'' <= 0.01 & `p_nocon_`x'' > 0 {c -(}
{txt} 26{com}.                         local csb_nocon_`x' `csb_nocon_`x''***
{txt} 27{com}.                 {c )-}
{txt} 28{com}.                 
.                 {c )-}
{p 0 6 2}{txt}note: b_h_hcpknow_z_d omitted because of collinearity{p_end}
{res}
{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}       187
{txt}{col 49}F({res}   2{txt},{res}    169{txt}){col 67}= {res}      2.51
{txt}{col 49}Prob > F{col 67}= {res}    0.0841
{txt}{col 49}R-squared{col 67}= {res}    0.1341
{txt}{col 49}Adj R-squared{col 67}= {res}    0.0470
{txt}{col 49}Root MSE{col 67}= {res}    0.8465

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}e_h_hcpkno~z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2} .1556532{col 26}{space 2} .1254893{col 37}{space 1}    1.24{col 46}{space 3}0.217{col 54}{space 4}-.0920754{col 67}{space 3} .4033817
{txt}b_h_hcpkno~z {c |}{col 14}{res}{space 2} .1449024{col 26}{space 2} .0814933{col 37}{space 1}    1.78{col 46}{space 3}0.077{col 54}{space 4}-.0159736{col 67}{space 3} .3057784
{txt}b_h_hcpkno~d {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 7}_cons {c |}{col 14}{res}{space 2}-.0124463{col 26}{space 2} .0841327{col 37}{space 1}   -0.15{col 46}{space 3}0.883{col 54}{space 4}-.1785327{col 67}{space 3} .1536401
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)
{p 0 6 2}note: b_h_hctrans_z_d omitted because of collinearity{p_end}
{res}
{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}       187
{txt}{col 49}F({res}   2{txt},{res}    169{txt}){col 67}= {res}      4.06
{txt}{col 49}Prob > F{col 67}= {res}    0.0189
{txt}{col 49}R-squared{col 67}= {res}    0.1976
{txt}{col 49}Adj R-squared{col 67}= {res}    0.1168
{txt}{col 49}Root MSE{col 67}= {res}    0.6172

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}e_h_hctran~z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2}-.0278954{col 26}{space 2} .0894377{col 37}{space 1}   -0.31{col 46}{space 3}0.756{col 54}{space 4}-.2044545{col 67}{space 3} .1486636
{txt}b_h_hctran~z {c |}{col 14}{res}{space 2} .2866335{col 26}{space 2} .1042115{col 37}{space 1}    2.75{col 46}{space 3}0.007{col 54}{space 4} .0809095{col 67}{space 3} .4923574
{txt}b_h_hctran~d {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 7}_cons {c |}{col 14}{res}{space 2} .0036593{col 26}{space 2} .0591614{col 37}{space 1}    0.06{col 46}{space 3}0.951{col 54}{space 4}-.1131312{col 67}{space 3} .1204497
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{com}.         
.         *********
.         * No FE *
.         *********
.         
.         eststo clear
{txt}
{com}.         
.         foreach x in `intermediate' {c -(}
{txt}  2{com}.                 reg  e_`x' `var' b_`x' b_`x'_d `e_controls_tfull' ``var'_int_e_controls', cl(hc_id) robust
{txt}  3{com}.                 local n_nofe_`x' = `e(N)'
{txt}  4{com}.                 local b_nofe_`x' = string(_b[treatfull],"%9.3fc")
{txt}  5{com}.                 local se_nofe_`x' =string(_se[treatfull],"%9.3fc")
{txt}  6{com}.                 local p_nofe_`x' = (2 * ttail(e(df_r), abs(_b[treatfull]/_se[treatfull])))
{txt}  7{com}.                         
.                 if `p_nofe_`x'' <= 0.1 & `p_nofe_`x'' > 0.05{c -(}
{txt}  8{com}.                         local b_nofe_`x' `b_nofe_`x''*
{txt}  9{com}.                 {c )-}
{txt} 10{com}.         
.                 if `p_nofe_`x'' <= 0.05 & `p_nofe_`x'' > 0.01{c -(}
{txt} 11{com}.                         local b_nofe_`x' `b_nofe_`x''**
{txt} 12{com}.                 {c )-}
{txt} 13{com}.                 
.                 if `p_nofe_`x'' <= 0.01 & `p_nofe_`x'' > 0 {c -(}
{txt} 14{com}.                         local b_nofe_`x' `b_nofe_`x''***
{txt} 15{com}.                 {c )-}
{txt} 16{com}.                 
.                 local csb_nofe_`x' = string(_b[_cons],"%9.3fc")
{txt} 17{com}.                 local csse_nofe_`x' =string(_se[_cons],"%9.3fc")
{txt} 18{com}.                 local p_nofe_`x' = (2 * ttail(e(df_r), abs(_b[_cons]/_se[_cons])))
{txt} 19{com}.                         
.                 if `p_nofe_`x'' <= 0.1 & `p_nofe_`x'' > 0.05{c -(}
{txt} 20{com}.                         local csb_nofe_`x' `csb_nofe_`x''*
{txt} 21{com}.                 {c )-}
{txt} 22{com}.         
.                 if `p_nofe_`x'' <= 0.05 & `p_nofe_`x'' > 0.01{c -(}
{txt} 23{com}.                         local csb_nofe_`x' `csb_nofe_`x''**
{txt} 24{com}.                 {c )-}
{txt} 25{com}.                 
.                 if `p_nofe_`x'' <= 0.01 & `p_nofe_`x'' > 0 {c -(}
{txt} 26{com}.                         local csb_nofe_`x' `csb_nofe_`x''***
{txt} 27{com}.                 {c )-}
{txt} 28{com}.                 
.                 {c )-}
{txt}note: b_ctzknow_z_d omitted because of collinearity

Linear regression                               Number of obs     = {res}     7,288
                                                {txt}F(14, 186)        =  {res}    13.66
                                                {txt}Prob > F          = {res}    0.0000
                                                {txt}R-squared         = {res}    0.0996
                                                {txt}Root MSE          =    {res} .65292

{txt}{ralign 78:(Std. Err. adjusted for {res:187} clusters in hc_id)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1} e_ctzknow_z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2} -.064608{col 26}{space 2} .0395185{col 37}{space 1}   -1.63{col 46}{space 3}0.104{col 54}{space 4}-.1425701{col 67}{space 3} .0133541
{txt}{space 1}b_ctzknow_z {c |}{col 14}{res}{space 2} .0312693{col 26}{space 2} .0118496{col 37}{space 1}    2.64{col 46}{space 3}0.009{col 54}{space 4} .0078923{col 67}{space 3} .0546463
{txt}b_ctzknow_~d {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 1}c_tfull_hc2 {c |}{col 14}{res}{space 2}-.0498851{col 26}{space 2} .0731315{col 37}{space 1}   -0.68{col 46}{space 3}0.496{col 54}{space 4}-.1941589{col 67}{space 3} .0943887
{txt}c_tfull_b_~l {c |}{col 14}{res}{space 2} .3259442{col 26}{space 2} .0823635{col 37}{space 1}    3.96{col 46}{space 3}0.000{col 54}{space 4} .1634575{col 67}{space 3}  .488431
{txt}c_tfull_b_~s {c |}{col 14}{res}{space 2} .2380005{col 26}{space 2} .0775239{col 37}{space 1}    3.07{col 46}{space 3}0.002{col 54}{space 4} .0850613{col 67}{space 3} .3909397
{txt}c_tfull_b_~d {c |}{col 14}{res}{space 2}  .151407{col 26}{space 2} .0430454{col 37}{space 1}    3.52{col 46}{space 3}0.001{col 54}{space 4} .0664869{col 67}{space 3} .2363271
{txt}c_tfull_ed~r {c |}{col 14}{res}{space 2} .0142569{col 26}{space 2} .0028162{col 37}{space 1}    5.06{col 46}{space 3}0.000{col 54}{space 4} .0087012{col 67}{space 3} .0198127
{txt}c_tfull_b_~x {c |}{col 14}{res}{space 2} .0123734{col 26}{space 2} .0148225{col 37}{space 1}    0.83{col 46}{space 3}0.405{col 54}{space 4}-.0168685{col 67}{space 3} .0416153
{txt}c_trea~l_hc2 {c |}{col 14}{res}{space 2}-.0078542{col 26}{space 2} .0945041{col 37}{space 1}   -0.08{col 46}{space 3}0.934{col 54}{space 4} -.194292{col 67}{space 3} .1785836
{txt}c_treatful.. {c |}{col 14}{res}{space 2}-.1297497{col 26}{space 2} .1085764{col 37}{space 1}   -1.20{col 46}{space 3}0.234{col 54}{space 4}-.3439493{col 67}{space 3} .0844498
{txt}c_treatful.. {c |}{col 14}{res}{space 2}-.0440014{col 26}{space 2} .1081416{col 37}{space 1}   -0.41{col 46}{space 3}0.685{col 54}{space 4}-.2573432{col 67}{space 3} .1693405
{txt}c_treatful.. {c |}{col 14}{res}{space 2} .0877047{col 26}{space 2} .0674404{col 37}{space 1}    1.30{col 46}{space 3}0.195{col 54}{space 4}-.0453418{col 67}{space 3} .2207513
{txt}c_treatful.. {c |}{col 14}{res}{space 2}-.0006345{col 26}{space 2} .0044204{col 37}{space 1}   -0.14{col 46}{space 3}0.886{col 54}{space 4} -.009355{col 67}{space 3}  .008086
{txt}c_treatful.. {c |}{col 14}{res}{space 2} .0027993{col 26}{space 2} .0219121{col 37}{space 1}    0.13{col 46}{space 3}0.898{col 54}{space 4}-.0404288{col 67}{space 3} .0460274
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} -.004676{col 26}{space 2} .0281012{col 37}{space 1}   -0.17{col 46}{space 3}0.868{col 54}{space 4}-.0601141{col 67}{space 3} .0507621
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}note: b_eff_z_d omitted because of collinearity

Linear regression                               Number of obs     = {res}     7,288
                                                {txt}F(14, 186)        =  {res}     8.36
                                                {txt}Prob > F          = {res}    0.0000
                                                {txt}R-squared         = {res}    0.0191
                                                {txt}Root MSE          =    {res}  .6267

{txt}{ralign 78:(Std. Err. adjusted for {res:187} clusters in hc_id)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}     e_eff_z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2}-.0244056{col 26}{space 2} .0271254{col 37}{space 1}   -0.90{col 46}{space 3}0.369{col 54}{space 4}-.0779186{col 67}{space 3} .0291074
{txt}{space 5}b_eff_z {c |}{col 14}{res}{space 2} .0658426{col 26}{space 2} .0117015{col 37}{space 1}    5.63{col 46}{space 3}0.000{col 54}{space 4} .0427579{col 67}{space 3} .0889272
{txt}{space 3}b_eff_z_d {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 1}c_tfull_hc2 {c |}{col 14}{res}{space 2} .0434313{col 26}{space 2} .0394727{col 37}{space 1}    1.10{col 46}{space 3}0.273{col 54}{space 4}-.0344405{col 67}{space 3}  .121303
{txt}c_tfull_b_~l {c |}{col 14}{res}{space 2} .0708498{col 26}{space 2} .0568762{col 37}{space 1}    1.25{col 46}{space 3}0.214{col 54}{space 4}-.0413557{col 67}{space 3} .1830552
{txt}c_tfull_b_~s {c |}{col 14}{res}{space 2} .0619212{col 26}{space 2}  .056333{col 37}{space 1}    1.10{col 46}{space 3}0.273{col 54}{space 4}-.0492126{col 67}{space 3}  .173055
{txt}c_tfull_b_~d {c |}{col 14}{res}{space 2} .0458132{col 26}{space 2} .0538623{col 37}{space 1}    0.85{col 46}{space 3}0.396{col 54}{space 4}-.0604464{col 67}{space 3} .1520728
{txt}c_tfull_ed~r {c |}{col 14}{res}{space 2} .0107006{col 26}{space 2}  .002563{col 37}{space 1}    4.18{col 46}{space 3}0.000{col 54}{space 4} .0056443{col 67}{space 3}  .015757
{txt}c_tfull_b_~x {c |}{col 14}{res}{space 2} .0393988{col 26}{space 2} .0126408{col 37}{space 1}    3.12{col 46}{space 3}0.002{col 54}{space 4}  .014461{col 67}{space 3} .0643366
{txt}c_trea~l_hc2 {c |}{col 14}{res}{space 2}-.0573436{col 26}{space 2}  .060011{col 37}{space 1}   -0.96{col 46}{space 3}0.341{col 54}{space 4}-.1757333{col 67}{space 3} .0610461
{txt}c_treatful.. {c |}{col 14}{res}{space 2} -.135376{col 26}{space 2} .0748002{col 37}{space 1}   -1.81{col 46}{space 3}0.072{col 54}{space 4}-.2829419{col 67}{space 3} .0121898
{txt}c_treatful.. {c |}{col 14}{res}{space 2}-.0247142{col 26}{space 2} .0879088{col 37}{space 1}   -0.28{col 46}{space 3}0.779{col 54}{space 4}-.1981407{col 67}{space 3} .1487123
{txt}c_treatful.. {c |}{col 14}{res}{space 2}  .086725{col 26}{space 2} .0725194{col 37}{space 1}    1.20{col 46}{space 3}0.233{col 54}{space 4}-.0563413{col 67}{space 3} .2297912
{txt}c_treatful.. {c |}{col 14}{res}{space 2}-.0048864{col 26}{space 2} .0038429{col 37}{space 1}   -1.27{col 46}{space 3}0.205{col 54}{space 4}-.0124676{col 67}{space 3} .0026949
{txt}c_treatful.. {c |}{col 14}{res}{space 2}-.0198124{col 26}{space 2}  .018375{col 37}{space 1}   -1.08{col 46}{space 3}0.282{col 54}{space 4}-.0560626{col 67}{space 3} .0164379
{txt}{space 7}_cons {c |}{col 14}{res}{space 2}-.0002673{col 26}{space 2} .0171919{col 37}{space 1}   -0.02{col 46}{space 3}0.988{col 54}{space 4}-.0341834{col 67}{space 3} .0336488
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}note: b_commresp_z_d omitted because of collinearity

Linear regression                               Number of obs     = {res}     7,288
                                                {txt}F(14, 186)        =  {res}     7.18
                                                {txt}Prob > F          = {res}    0.0000
                                                {txt}R-squared         = {res}    0.0184
                                                {txt}Root MSE          =    {res}  .7359

{txt}{ralign 78:(Std. Err. adjusted for {res:187} clusters in hc_id)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}e_commresp_z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2} -.018244{col 26}{space 2} .0282971{col 37}{space 1}   -0.64{col 46}{space 3}0.520{col 54}{space 4}-.0740686{col 67}{space 3} .0375805
{txt}b_commresp_z {c |}{col 14}{res}{space 2} .0789247{col 26}{space 2} .0123727{col 37}{space 1}    6.38{col 46}{space 3}0.000{col 54}{space 4} .0545159{col 67}{space 3} .1033335
{txt}b_commresp~d {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 1}c_tfull_hc2 {c |}{col 14}{res}{space 2} .1262872{col 26}{space 2} .0513118{col 37}{space 1}    2.46{col 46}{space 3}0.015{col 54}{space 4} .0250592{col 67}{space 3} .2275152
{txt}c_tfull_b_~l {c |}{col 14}{res}{space 2} .0986501{col 26}{space 2} .0581391{col 37}{space 1}    1.70{col 46}{space 3}0.091{col 54}{space 4}-.0160467{col 67}{space 3} .2133469
{txt}c_tfull_b_~s {c |}{col 14}{res}{space 2} .1422365{col 26}{space 2} .0593592{col 37}{space 1}    2.40{col 46}{space 3}0.018{col 54}{space 4} .0251327{col 67}{space 3} .2593403
{txt}c_tfull_b_~d {c |}{col 14}{res}{space 2} .0665482{col 26}{space 2} .0571682{col 37}{space 1}    1.16{col 46}{space 3}0.246{col 54}{space 4}-.0462332{col 67}{space 3} .1793296
{txt}c_tfull_ed~r {c |}{col 14}{res}{space 2} .0054512{col 26}{space 2} .0027685{col 37}{space 1}    1.97{col 46}{space 3}0.050{col 54}{space 4}-.0000104{col 67}{space 3} .0109128
{txt}c_tfull_b_~x {c |}{col 14}{res}{space 2} .0235544{col 26}{space 2} .0158594{col 37}{space 1}    1.49{col 46}{space 3}0.139{col 54}{space 4} -.007733{col 67}{space 3} .0548418
{txt}c_trea~l_hc2 {c |}{col 14}{res}{space 2}-.0103268{col 26}{space 2} .0670007{col 37}{space 1}   -0.15{col 46}{space 3}0.878{col 54}{space 4}-.1425057{col 67}{space 3} .1218521
{txt}c_treatful.. {c |}{col 14}{res}{space 2}-.0407169{col 26}{space 2} .0751531{col 37}{space 1}   -0.54{col 46}{space 3}0.589{col 54}{space 4} -.188979{col 67}{space 3} .1075452
{txt}c_treatful.. {c |}{col 14}{res}{space 2}-.0267134{col 26}{space 2} .0780132{col 37}{space 1}   -0.34{col 46}{space 3}0.732{col 54}{space 4} -.180618{col 67}{space 3} .1271911
{txt}c_treatful.. {c |}{col 14}{res}{space 2}-.0392628{col 26}{space 2} .0749841{col 37}{space 1}   -0.52{col 46}{space 3}0.601{col 54}{space 4}-.1871915{col 67}{space 3}  .108666
{txt}c_treatful.. {c |}{col 14}{res}{space 2} .0054757{col 26}{space 2} .0047655{col 37}{space 1}    1.15{col 46}{space 3}0.252{col 54}{space 4}-.0039256{col 67}{space 3} .0148771
{txt}c_treatful.. {c |}{col 14}{res}{space 2}-.0046764{col 26}{space 2} .0210058{col 37}{space 1}   -0.22{col 46}{space 3}0.824{col 54}{space 4}-.0461166{col 67}{space 3} .0367638
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} .0010354{col 26}{space 2} .0209044{col 37}{space 1}    0.05{col 46}{space 3}0.961{col 54}{space 4}-.0402049{col 67}{space 3} .0422757
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}note: b_relhhhc_z_d omitted because of collinearity

Linear regression                               Number of obs     = {res}     7,288
                                                {txt}F(14, 186)        =  {res}     4.45
                                                {txt}Prob > F          = {res}    0.0000
                                                {txt}R-squared         = {res}    0.0213
                                                {txt}Root MSE          =    {res} .54703

{txt}{ralign 78:(Std. Err. adjusted for {res:187} clusters in hc_id)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1} e_relhhhc_z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2} .0443765{col 26}{space 2} .0415403{col 37}{space 1}    1.07{col 46}{space 3}0.287{col 54}{space 4}-.0375742{col 67}{space 3} .1263273
{txt}{space 1}b_relhhhc_z {c |}{col 14}{res}{space 2} .1006078{col 26}{space 2} .0179759{col 37}{space 1}    5.60{col 46}{space 3}0.000{col 54}{space 4}  .065145{col 67}{space 3} .1360706
{txt}b_relhhhc_~d {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 1}c_tfull_hc2 {c |}{col 14}{res}{space 2} .0782265{col 26}{space 2} .0672305{col 37}{space 1}    1.16{col 46}{space 3}0.246{col 54}{space 4}-.0544059{col 67}{space 3} .2108589
{txt}c_tfull_b_~l {c |}{col 14}{res}{space 2} .0221809{col 26}{space 2} .0797543{col 37}{space 1}    0.28{col 46}{space 3}0.781{col 54}{space 4}-.1351584{col 67}{space 3} .1795201
{txt}c_tfull_b_~s {c |}{col 14}{res}{space 2}-.0288582{col 26}{space 2} .0995374{col 37}{space 1}   -0.29{col 46}{space 3}0.772{col 54}{space 4}-.2252257{col 67}{space 3} .1675093
{txt}c_tfull_b_~d {c |}{col 14}{res}{space 2} .1219462{col 26}{space 2} .0376269{col 37}{space 1}    3.24{col 46}{space 3}0.001{col 54}{space 4} .0477158{col 67}{space 3} .1961766
{txt}c_tfull_ed~r {c |}{col 14}{res}{space 2} .0014709{col 26}{space 2} .0036187{col 37}{space 1}    0.41{col 46}{space 3}0.685{col 54}{space 4}-.0056681{col 67}{space 3} .0086099
{txt}c_tfull_b_~x {c |}{col 14}{res}{space 2} .0018403{col 26}{space 2}  .016929{col 37}{space 1}    0.11{col 46}{space 3}0.914{col 54}{space 4}-.0315572{col 67}{space 3} .0352378
{txt}c_trea~l_hc2 {c |}{col 14}{res}{space 2}-.1077554{col 26}{space 2} .0947709{col 37}{space 1}   -1.14{col 46}{space 3}0.257{col 54}{space 4}-.2947193{col 67}{space 3} .0792086
{txt}c_treatful.. {c |}{col 14}{res}{space 2}-.0982426{col 26}{space 2} .1064178{col 37}{space 1}   -0.92{col 46}{space 3}0.357{col 54}{space 4}-.3081838{col 67}{space 3} .1116985
{txt}c_treatful.. {c |}{col 14}{res}{space 2} .1111619{col 26}{space 2} .1307521{col 37}{space 1}    0.85{col 46}{space 3}0.396{col 54}{space 4}-.1467859{col 67}{space 3} .3691098
{txt}c_treatful.. {c |}{col 14}{res}{space 2} -.061639{col 26}{space 2} .0558754{col 37}{space 1}   -1.10{col 46}{space 3}0.271{col 54}{space 4}-.1718699{col 67}{space 3} .0485919
{txt}c_treatful.. {c |}{col 14}{res}{space 2}-.0062803{col 26}{space 2} .0044267{col 37}{space 1}   -1.42{col 46}{space 3}0.158{col 54}{space 4}-.0150133{col 67}{space 3} .0024527
{txt}c_treatful.. {c |}{col 14}{res}{space 2} .0240207{col 26}{space 2} .0240202{col 37}{space 1}    1.00{col 46}{space 3}0.319{col 54}{space 4}-.0233664{col 67}{space 3} .0714078
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} .0019363{col 26}{space 2} .0297898{col 37}{space 1}    0.06{col 46}{space 3}0.948{col 54}{space 4}-.0568331{col 67}{space 3} .0607057
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}.                 
.         eststo clear
{txt}
{com}.                         
.         foreach x in `intermediate_hclevel' {c -(}
{txt}  2{com}.                 reg  e_`x' `var' b_`x' b_`x'_d `e_controls_tfull_hc' ``var'_hc_int_e_controls' if uniquehc == 1, robust
{txt}  3{com}.                 local n_nofe_`x' = `e(N)'
{txt}  4{com}.                 local b_nofe_`x' = string(_b[treatfull],"%9.3fc")
{txt}  5{com}.                 local se_nofe_`x' =string(_se[treatfull],"%9.3fc")
{txt}  6{com}.                 local p_nofe_`x' = (2 * ttail(e(df_r), abs(_b[treatfull]/_se[treatfull])))
{txt}  7{com}.                         
.                 if `p_nofe_`x'' <= 0.1 & `p_nofe_`x'' > 0.05{c -(}
{txt}  8{com}.                         local b_nofe_`x' `b_nofe_`x''*
{txt}  9{com}.                 {c )-}
{txt} 10{com}.         
.                 if `p_nofe_`x'' <= 0.05 & `p_nofe_`x'' > 0.01{c -(}
{txt} 11{com}.                         local b_nofe_`x' `b_nofe_`x''**
{txt} 12{com}.                 {c )-}
{txt} 13{com}.                 
.                 if `p_nofe_`x'' <= 0.01 & `p_nofe_`x'' > 0 {c -(}
{txt} 14{com}.                         local b_nofe_`x' `b_nofe_`x''***
{txt} 15{com}.                 {c )-}
{txt} 16{com}.                 
.                 local csb_nofe_`x' = string(_b[_cons],"%9.3fc")
{txt} 17{com}.                 local csse_nofe_`x' =string(_se[_cons],"%9.3fc")
{txt} 18{com}.                 local p_nofe_`x' = (2 * ttail(e(df_r), abs(_b[_cons]/_se[_cons])))
{txt} 19{com}.                         
.                 if `p_nofe_`x'' <= 0.1 & `p_nofe_`x'' > 0.05{c -(}
{txt} 20{com}.                         local csb_nofe_`x' `csb_nofe_`x''*
{txt} 21{com}.                 {c )-}
{txt} 22{com}.         
.                 if `p_nofe_`x'' <= 0.05 & `p_nofe_`x'' > 0.01{c -(}
{txt} 23{com}.                         local csb_nofe_`x' `csb_nofe_`x''**
{txt} 24{com}.                 {c )-}
{txt} 25{com}.                 
.                 if `p_nofe_`x'' <= 0.01 & `p_nofe_`x'' > 0 {c -(}
{txt} 26{com}.                         local csb_nofe_`x' `csb_nofe_`x''***
{txt} 27{com}.                 {c )-}
{txt} 28{com}.                 
.                 {c )-}
{txt}note: b_h_hcpknow_z_d omitted because of collinearity

Linear regression                               Number of obs     = {res}       187
                                                {txt}F(14, 172)        =  {res}     2.29
                                                {txt}Prob > F          = {res}    0.0067
                                                {txt}R-squared         = {res}    0.1449
                                                {txt}Root MSE          =    {res} .83385

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}e_h_hcpkno~z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2} .1551838{col 26}{space 2} .1229001{col 37}{space 1}    1.26{col 46}{space 3}0.208{col 54}{space 4}-.0874028{col 67}{space 3} .3977703
{txt}b_h_hcpkno~z {c |}{col 14}{res}{space 2} .1241903{col 26}{space 2} .0777039{col 37}{space 1}    1.60{col 46}{space 3}0.112{col 54}{space 4}-.0291857{col 67}{space 3} .2775662
{txt}b_h_hcpkno~d {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
c_tf~_hc_hc2 {c |}{col 14}{res}{space 2} -.290586{col 26}{space 2} .2447649{col 37}{space 1}   -1.19{col 46}{space 3}0.237{col 54}{space 4}-.7737157{col 67}{space 3} .1925437
{txt}c_tfull_hc~l {c |}{col 14}{res}{space 2}-.0745524{col 26}{space 2} .2301017{col 37}{space 1}   -0.32{col 46}{space 3}0.746{col 54}{space 4}-.5287391{col 67}{space 3} .3796343
{txt}c_tfull_hc~s {c |}{col 14}{res}{space 2} .6417026{col 26}{space 2} .2018594{col 37}{space 1}    3.18{col 46}{space 3}0.002{col 54}{space 4}  .243262{col 67}{space 3} 1.040143
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2}-.0063858{col 26}{space 2}  .669518{col 37}{space 1}   -0.01{col 46}{space 3}0.992{col 54}{space 4}-1.327915{col 67}{space 3} 1.315144
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2}-.0146027{col 26}{space 2} .0762573{col 37}{space 1}   -0.19{col 46}{space 3}0.848{col 54}{space 4}-.1651234{col 67}{space 3} .1359181
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2} .0738052{col 26}{space 2} .2176716{col 37}{space 1}    0.34{col 46}{space 3}0.735{col 54}{space 4}-.3558464{col 67}{space 3} .5034568
{txt}c_treatful.. {c |}{col 14}{res}{space 2}-.0629541{col 26}{space 2} .3278081{col 37}{space 1}   -0.19{col 46}{space 3}0.848{col 54}{space 4}-.7099989{col 67}{space 3} .5840907
{txt}c_treatful.. {c |}{col 14}{res}{space 2} .3532937{col 26}{space 2} .3072644{col 37}{space 1}    1.15{col 46}{space 3}0.252{col 54}{space 4}-.2532007{col 67}{space 3} .9597882
{txt}c_treatful.. {c |}{col 14}{res}{space 2}-.8061028{col 26}{space 2} .3189875{col 37}{space 1}   -2.53{col 46}{space 3}0.012{col 54}{space 4}-1.435737{col 67}{space 3}-.1764687
{txt}c_treatful.. {c |}{col 14}{res}{space 2} .1695709{col 26}{space 2} 1.176198{col 37}{space 1}    0.14{col 46}{space 3}0.886{col 54}{space 4}-2.152071{col 67}{space 3} 2.491213
{txt}c_treatful.. {c |}{col 14}{res}{space 2} .0377824{col 26}{space 2} .1289425{col 37}{space 1}    0.29{col 46}{space 3}0.770{col 54}{space 4} -.216731{col 67}{space 3} .2922959
{txt}c_treatful.. {c |}{col 14}{res}{space 2}-.0003433{col 26}{space 2} .3441561{col 37}{space 1}   -0.00{col 46}{space 3}0.999{col 54}{space 4}-.6796565{col 67}{space 3} .6789699
{txt}{space 7}_cons {c |}{col 14}{res}{space 2}-.0093614{col 26}{space 2} .0812852{col 37}{space 1}   -0.12{col 46}{space 3}0.908{col 54}{space 4}-.1698063{col 67}{space 3} .1510836
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}note: b_h_hctrans_z_d omitted because of collinearity

Linear regression                               Number of obs     = {res}       187
                                                {txt}F(14, 172)        =  {res}     8.17
                                                {txt}Prob > F          = {res}    0.0000
                                                {txt}R-squared         = {res}    0.3844
                                                {txt}Root MSE          =    {res} .53582

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}e_h_hctran~z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2} .0045517{col 26}{space 2} .0789039{col 37}{space 1}    0.06{col 46}{space 3}0.954{col 54}{space 4}-.1511929{col 67}{space 3} .1602962
{txt}b_h_hctran~z {c |}{col 14}{res}{space 2}  .162359{col 26}{space 2} .0719349{col 37}{space 1}    2.26{col 46}{space 3}0.025{col 54}{space 4} .0203702{col 67}{space 3} .3043479
{txt}b_h_hctran~d {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
c_tf~_hc_hc2 {c |}{col 14}{res}{space 2} -.604396{col 26}{space 2} .1905112{col 37}{space 1}   -3.17{col 46}{space 3}0.002{col 54}{space 4}-.9804369{col 67}{space 3} -.228355
{txt}c_tfull_hc~l {c |}{col 14}{res}{space 2} .0195248{col 26}{space 2} .1353465{col 37}{space 1}    0.14{col 46}{space 3}0.885{col 54}{space 4}-.2476292{col 67}{space 3} .2866788
{txt}c_tfull_hc~s {c |}{col 14}{res}{space 2} .0016252{col 26}{space 2}  .176245{col 37}{space 1}    0.01{col 46}{space 3}0.993{col 54}{space 4}-.3462564{col 67}{space 3} .3495068
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2} .2730665{col 26}{space 2} .3416337{col 37}{space 1}    0.80{col 46}{space 3}0.425{col 54}{space 4}-.4012679{col 67}{space 3}  .947401
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2}-.0578652{col 26}{space 2} .0633285{col 37}{space 1}   -0.91{col 46}{space 3}0.362{col 54}{space 4}-.1828662{col 67}{space 3} .0671358
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2} .1661609{col 26}{space 2} .1917541{col 37}{space 1}    0.87{col 46}{space 3}0.387{col 54}{space 4}-.2123334{col 67}{space 3} .5446552
{txt}c_treatful.. {c |}{col 14}{res}{space 2}  .013858{col 26}{space 2} .2365675{col 37}{space 1}    0.06{col 46}{space 3}0.953{col 54}{space 4}-.4530913{col 67}{space 3} .4808073
{txt}c_treatful.. {c |}{col 14}{res}{space 2} .3494275{col 26}{space 2} .1898101{col 37}{space 1}    1.84{col 46}{space 3}0.067{col 54}{space 4}-.0252296{col 67}{space 3} .7240847
{txt}c_treatful.. {c |}{col 14}{res}{space 2} -.087287{col 26}{space 2} .2340889{col 37}{space 1}   -0.37{col 46}{space 3}0.710{col 54}{space 4}-.5493439{col 67}{space 3} .3747699
{txt}c_treatful.. {c |}{col 14}{res}{space 2}-.9628969{col 26}{space 2} .6672756{col 37}{space 1}   -1.44{col 46}{space 3}0.151{col 54}{space 4}    -2.28{col 67}{space 3} .3542064
{txt}c_treatful.. {c |}{col 14}{res}{space 2} .0082701{col 26}{space 2} .0890482{col 37}{space 1}    0.09{col 46}{space 3}0.926{col 54}{space 4} -.167498{col 67}{space 3} .1840382
{txt}c_treatful.. {c |}{col 14}{res}{space 2} .2550931{col 26}{space 2} .2604971{col 37}{space 1}    0.98{col 46}{space 3}0.329{col 54}{space 4}-.2590897{col 67}{space 3} .7692759
{txt}{space 7}_cons {c |}{col 14}{res}{space 2}-.0072884{col 26}{space 2} .0566158{col 37}{space 1}   -0.13{col 46}{space 3}0.898{col 54}{space 4}-.1190395{col 67}{space 3} .1044628
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}.                 
.         *************************
.         * Agregated at HC level *
.         *************************
.                 
.         foreach x of local intermediate {c -(}
{txt}  2{com}.                 byso hc_id : egen mean_e_`x' = mean(e_`x')
{txt}  3{com}.                 byso hc_id : egen mean_b_`x' = mean(b_`x')
{txt}  4{com}.                 byso hc_id : egen mean_b_`x'_d = mean(b_`x'_d)
{txt}  5{com}.                 {c )-}
{txt}
{com}.         
.         * Already aggregated just for the form
.         
.         foreach x of local intermediate_hclevel {c -(}
{txt}  2{com}.                 byso hc_id : egen mean_e_`x' = mean(e_`x')
{txt}  3{com}.                 byso hc_id : egen mean_b_`x' = mean(b_`x')
{txt}  4{com}.                 byso hc_id : egen mean_b_`x'_d = mean(b_`x'_d)
{txt}  5{com}.                 {c )-}
{txt}
{com}.         
.         eststo clear
{txt}
{com}.         
.         local var treatfull
{txt}
{com}.         
.         eststo clear
{txt}
{com}.         
.         foreach x in `intermediate' {c -(}
{txt}  2{com}.                 areg  mean_e_`x' `var' mean_b_`x' mean_b_`x'_d `e_controls_tfull_hc' ``var'_hc_int_e_controls' if uniquehc == 1, robust  a(district)
{txt}  3{com}.                 local n_mean_`x' = `e(N)'
{txt}  4{com}.                 local b_mean_`x' = string(_b[treatfull],"%9.3fc")
{txt}  5{com}.                 local se_mean_`x' =string(_se[treatfull],"%9.3fc")
{txt}  6{com}.                 local p_mean_`x' = (2 * ttail(e(df_r), abs(_b[treatfull]/_se[treatfull])))
{txt}  7{com}.                         
.                 if `p_mean_`x'' <= 0.1 & `p_mean_`x'' > 0.05{c -(}
{txt}  8{com}.                         local b_mean_`x' `b_mean_`x''*
{txt}  9{com}.                 {c )-}
{txt} 10{com}.         
.                 if `p_mean_`x'' <= 0.05 & `p_mean_`x'' > 0.01{c -(}
{txt} 11{com}.                         local b_mean_`x' `b_mean_`x''**
{txt} 12{com}.                 {c )-}
{txt} 13{com}.                 
.                 if `p_mean_`x'' <= 0.01 & `p_mean_`x'' > 0 {c -(}
{txt} 14{com}.                         local b_mean_`x' `b_mean_`x''***
{txt} 15{com}.                 {c )-}
{txt} 16{com}.                 
.                 local csb_mean_`x' = string(_b[_cons],"%9.3fc")
{txt} 17{com}.                 local csse_mean_`x' =string(_se[_cons],"%9.3fc")
{txt} 18{com}.                 local p_mean_`x' = (2 * ttail(e(df_r), abs(_b[_cons]/_se[_cons])))
{txt} 19{com}.                         
.                 if `p_mean_`x'' <= 0.1 & `p_mean_`x'' > 0.05{c -(}
{txt} 20{com}.                         local csb_mean_`x' `csb_mean_`x''*
{txt} 21{com}.                 {c )-}
{txt} 22{com}.         
.                 if `p_mean_`x'' <= 0.05 & `p_mean_`x'' > 0.01{c -(}
{txt} 23{com}.                         local csb_mean_`x' `csb_mean_`x''**
{txt} 24{com}.                 {c )-}
{txt} 25{com}.                 
.                 if `p_mean_`x'' <= 0.01 & `p_mean_`x'' > 0 {c -(}
{txt} 26{com}.                         local csb_mean_`x' `csb_mean_`x''***
{txt} 27{com}.                 {c )-}
{txt} 28{com}.                 
.                 {c )-}
{p 0 6 2}{txt}note: mean_b_ctzknow_z_d omitted because of collinearity{p_end}
{res}
{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}       187
{txt}{col 49}F({res}  14{txt},{res}    157{txt}){col 67}= {res}     17.02
{txt}{col 49}Prob > F{col 67}= {res}    0.0000
{txt}{col 49}R-squared{col 67}= {res}    0.7957
{txt}{col 49}Adj R-squared{col 67}= {res}    0.7580
{txt}{col 49}Root MSE{col 67}= {res}    0.1666

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}mean_e_ctz~z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2}-.0579279{col 26}{space 2} .0242224{col 37}{space 1}   -2.39{col 46}{space 3}0.018{col 54}{space 4}-.1057717{col 67}{space 3}-.0100841
{txt}mean_b_ctz~z {c |}{col 14}{res}{space 2} .0494541{col 26}{space 2} .0702833{col 37}{space 1}    0.70{col 46}{space 3}0.483{col 54}{space 4}-.0893687{col 67}{space 3}  .188277
{txt}mean_b_ctz~d {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
c_tf~_hc_hc2 {c |}{col 14}{res}{space 2}-.1858841{col 26}{space 2}  .046606{col 37}{space 1}   -3.99{col 46}{space 3}0.000{col 54}{space 4}-.2779397{col 67}{space 3}-.0938285
{txt}c_tfull_hc~l {c |}{col 14}{res}{space 2} .1715439{col 26}{space 2} .0535992{col 37}{space 1}    3.20{col 46}{space 3}0.002{col 54}{space 4} .0656753{col 67}{space 3} .2774125
{txt}c_tfull_hc~s {c |}{col 14}{res}{space 2} .1231715{col 26}{space 2} .0545626{col 37}{space 1}    2.26{col 46}{space 3}0.025{col 54}{space 4}    .0154{col 67}{space 3} .2309429
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2} .2943328{col 26}{space 2} .1445575{col 37}{space 1}    2.04{col 46}{space 3}0.043{col 54}{space 4} .0088044{col 67}{space 3} .5798611
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2} .0182556{col 26}{space 2} .0203894{col 37}{space 1}    0.90{col 46}{space 3}0.372{col 54}{space 4}-.0220172{col 67}{space 3} .0585285
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2} .1019497{col 26}{space 2} .0630663{col 37}{space 1}    1.62{col 46}{space 3}0.108{col 54}{space 4}-.0226183{col 67}{space 3} .2265176
{txt}c_treatful.. {c |}{col 14}{res}{space 2} .0435922{col 26}{space 2} .0599349{col 37}{space 1}    0.73{col 46}{space 3}0.468{col 54}{space 4}-.0747906{col 67}{space 3} .1619751
{txt}c_treatful.. {c |}{col 14}{res}{space 2}-.1145408{col 26}{space 2} .0673469{col 37}{space 1}   -1.70{col 46}{space 3}0.091{col 54}{space 4}-.2475636{col 67}{space 3}  .018482
{txt}c_treatful.. {c |}{col 14}{res}{space 2}-.0327218{col 26}{space 2} .0815288{col 37}{space 1}   -0.40{col 46}{space 3}0.689{col 54}{space 4}-.1937566{col 67}{space 3}  .128313
{txt}c_treatful.. {c |}{col 14}{res}{space 2}  .624638{col 26}{space 2} .2700351{col 37}{space 1}    2.31{col 46}{space 3}0.022{col 54}{space 4} .0912677{col 67}{space 3} 1.158008
{txt}c_treatful.. {c |}{col 14}{res}{space 2} .0208302{col 26}{space 2} .0275618{col 37}{space 1}    0.76{col 46}{space 3}0.451{col 54}{space 4}-.0336095{col 67}{space 3} .0752699
{txt}c_treatful.. {c |}{col 14}{res}{space 2} .0021494{col 26}{space 2} .0767728{col 37}{space 1}    0.03{col 46}{space 3}0.978{col 54}{space 4}-.1494914{col 67}{space 3} .1537902
{txt}{space 7}_cons {c |}{col 14}{res}{space 2}-.0078994{col 26}{space 2} .0168787{col 37}{space 1}   -0.47{col 46}{space 3}0.640{col 54}{space 4} -.041238{col 67}{space 3} .0254392
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)
{p 0 6 2}note: mean_b_eff_z_d omitted because of collinearity{p_end}
{res}
{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}       187
{txt}{col 49}F({res}  14{txt},{res}    157{txt}){col 67}= {res}      1.19
{txt}{col 49}Prob > F{col 67}= {res}    0.2842
{txt}{col 49}R-squared{col 67}= {res}    0.3680
{txt}{col 49}Adj R-squared{col 67}= {res}    0.2512
{txt}{col 49}Root MSE{col 67}= {res}    0.1639

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}mean_e_eff_z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2}-.0230688{col 26}{space 2} .0247404{col 37}{space 1}   -0.93{col 46}{space 3}0.353{col 54}{space 4}-.0719358{col 67}{space 3} .0257982
{txt}mean_b_eff_z {c |}{col 14}{res}{space 2} .1006429{col 26}{space 2} .0900394{col 37}{space 1}    1.12{col 46}{space 3}0.265{col 54}{space 4}-.0772019{col 67}{space 3} .2784877
{txt}mean_b_eff~d {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
c_tf~_hc_hc2 {c |}{col 14}{res}{space 2} .0360932{col 26}{space 2} .0429537{col 37}{space 1}    0.84{col 46}{space 3}0.402{col 54}{space 4}-.0487484{col 67}{space 3} .1209348
{txt}c_tfull_hc~l {c |}{col 14}{res}{space 2} .0465605{col 26}{space 2} .0542559{col 37}{space 1}    0.86{col 46}{space 3}0.392{col 54}{space 4}-.0606052{col 67}{space 3} .1537263
{txt}c_tfull_hc~s {c |}{col 14}{res}{space 2} .0233158{col 26}{space 2} .0560855{col 37}{space 1}    0.42{col 46}{space 3}0.678{col 54}{space 4}-.0874637{col 67}{space 3} .1340952
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2} .1098431{col 26}{space 2} .1400222{col 37}{space 1}    0.78{col 46}{space 3}0.434{col 54}{space 4}-.1667273{col 67}{space 3} .3864135
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2} .0334212{col 26}{space 2} .0186287{col 37}{space 1}    1.79{col 46}{space 3}0.075{col 54}{space 4}-.0033741{col 67}{space 3} .0702164
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2}-.0287633{col 26}{space 2} .0577071{col 37}{space 1}   -0.50{col 46}{space 3}0.619{col 54}{space 4}-.1427458{col 67}{space 3} .0852191
{txt}c_treatful.. {c |}{col 14}{res}{space 2}-.0576923{col 26}{space 2} .0574775{col 37}{space 1}   -1.00{col 46}{space 3}0.317{col 54}{space 4}-.1712212{col 67}{space 3} .0558366
{txt}c_treatful.. {c |}{col 14}{res}{space 2}-.1169851{col 26}{space 2} .0674516{col 37}{space 1}   -1.73{col 46}{space 3}0.085{col 54}{space 4}-.2502148{col 67}{space 3} .0162447
{txt}c_treatful.. {c |}{col 14}{res}{space 2}-.0627879{col 26}{space 2} .0847856{col 37}{space 1}   -0.74{col 46}{space 3}0.460{col 54}{space 4}-.2302554{col 67}{space 3} .1046797
{txt}c_treatful.. {c |}{col 14}{res}{space 2} .3214831{col 26}{space 2} .2959125{col 37}{space 1}    1.09{col 46}{space 3}0.279{col 54}{space 4}    -.263{col 67}{space 3} .9059662
{txt}c_treatful.. {c |}{col 14}{res}{space 2}-.0305858{col 26}{space 2} .0276429{col 37}{space 1}   -1.11{col 46}{space 3}0.270{col 54}{space 4}-.0851857{col 67}{space 3}  .024014
{txt}c_treatful.. {c |}{col 14}{res}{space 2} -.000013{col 26}{space 2} .0712158{col 37}{space 1}   -0.00{col 46}{space 3}1.000{col 54}{space 4}-.1406777{col 67}{space 3} .1406517
{txt}{space 7}_cons {c |}{col 14}{res}{space 2}-.0010215{col 26}{space 2}   .01595{col 37}{space 1}   -0.06{col 46}{space 3}0.949{col 54}{space 4}-.0325258{col 67}{space 3} .0304827
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)
{p 0 6 2}note: mean_b_commresp_z_d omitted because of collinearity{p_end}
{res}
{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}       187
{txt}{col 49}F({res}  14{txt},{res}    157{txt}){col 67}= {res}      1.71
{txt}{col 49}Prob > F{col 67}= {res}    0.0577
{txt}{col 49}R-squared{col 67}= {res}    0.5626
{txt}{col 49}Adj R-squared{col 67}= {res}    0.4818
{txt}{col 49}Root MSE{col 67}= {res}    0.1490

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}mean_e_com~z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2}-.0126082{col 26}{space 2} .0219277{col 37}{space 1}   -0.57{col 46}{space 3}0.566{col 54}{space 4}-.0559195{col 67}{space 3} .0307031
{txt}mean_b_com~z {c |}{col 14}{res}{space 2} .0565787{col 26}{space 2} .0984883{col 37}{space 1}    0.57{col 46}{space 3}0.566{col 54}{space 4}-.1379542{col 67}{space 3} .2511116
{txt}mean_b_com~d {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
c_tf~_hc_hc2 {c |}{col 14}{res}{space 2} .0675739{col 26}{space 2} .0436727{col 37}{space 1}    1.55{col 46}{space 3}0.124{col 54}{space 4}-.0186878{col 67}{space 3} .1538357
{txt}c_tfull_hc~l {c |}{col 14}{res}{space 2} .0196606{col 26}{space 2} .0545958{col 37}{space 1}    0.36{col 46}{space 3}0.719{col 54}{space 4}-.0881765{col 67}{space 3} .1274976
{txt}c_tfull_hc~s {c |}{col 14}{res}{space 2} .0727933{col 26}{space 2} .0448964{col 37}{space 1}    1.62{col 46}{space 3}0.107{col 54}{space 4}-.0158857{col 67}{space 3} .1614722
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2}-.0790987{col 26}{space 2} .1620558{col 37}{space 1}   -0.49{col 46}{space 3}0.626{col 54}{space 4}-.3991897{col 67}{space 3} .2409922
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2} .0109468{col 26}{space 2} .0169092{col 37}{space 1}    0.65{col 46}{space 3}0.518{col 54}{space 4} -.022452{col 67}{space 3} .0443457
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2} .0063649{col 26}{space 2} .0548836{col 37}{space 1}    0.12{col 46}{space 3}0.908{col 54}{space 4}-.1020406{col 67}{space 3} .1147703
{txt}c_treatful.. {c |}{col 14}{res}{space 2}  .057727{col 26}{space 2} .0559442{col 37}{space 1}    1.03{col 46}{space 3}0.304{col 54}{space 4}-.0527734{col 67}{space 3} .1682275
{txt}c_treatful.. {c |}{col 14}{res}{space 2} .0098463{col 26}{space 2} .0649447{col 37}{space 1}    0.15{col 46}{space 3}0.880{col 54}{space 4}-.1184317{col 67}{space 3} .1381244
{txt}c_treatful.. {c |}{col 14}{res}{space 2}-.0191205{col 26}{space 2} .0546406{col 37}{space 1}   -0.35{col 46}{space 3}0.727{col 54}{space 4}-.1270459{col 67}{space 3}  .088805
{txt}c_treatful.. {c |}{col 14}{res}{space 2} .1273184{col 26}{space 2} .2196047{col 37}{space 1}    0.58{col 46}{space 3}0.563{col 54}{space 4}-.3064424{col 67}{space 3} .5610792
{txt}c_treatful.. {c |}{col 14}{res}{space 2} .0149763{col 26}{space 2} .0257778{col 37}{space 1}    0.58{col 46}{space 3}0.562{col 54}{space 4}-.0359397{col 67}{space 3} .0658923
{txt}c_treatful.. {c |}{col 14}{res}{space 2} .0238687{col 26}{space 2}  .069071{col 37}{space 1}    0.35{col 46}{space 3}0.730{col 54}{space 4}-.1125596{col 67}{space 3} .1602971
{txt}{space 7}_cons {c |}{col 14}{res}{space 2}-.0013827{col 26}{space 2} .0150084{col 37}{space 1}   -0.09{col 46}{space 3}0.927{col 54}{space 4} -.031027{col 67}{space 3} .0282617
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)
{p 0 6 2}note: mean_b_relhhhc_z_d omitted because of collinearity{p_end}
{res}
{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}       187
{txt}{col 49}F({res}  14{txt},{res}    157{txt}){col 67}= {res}      1.18
{txt}{col 49}Prob > F{col 67}= {res}    0.2940
{txt}{col 49}R-squared{col 67}= {res}    0.1615
{txt}{col 49}Adj R-squared{col 67}= {res}    0.0066
{txt}{col 49}Root MSE{col 67}= {res}    0.2843

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}mean_e_rel~z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2} .0294662{col 26}{space 2} .0420156{col 37}{space 1}    0.70{col 46}{space 3}0.484{col 54}{space 4}-.0535226{col 67}{space 3}  .112455
{txt}mean_b_rel~z {c |}{col 14}{res}{space 2} .0213457{col 26}{space 2}  .044741{col 37}{space 1}    0.48{col 46}{space 3}0.634{col 54}{space 4}-.0670262{col 67}{space 3} .1097175
{txt}mean_b_rel~d {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
c_tf~_hc_hc2 {c |}{col 14}{res}{space 2} .0850923{col 26}{space 2} .0857389{col 37}{space 1}    0.99{col 46}{space 3}0.323{col 54}{space 4}-.0842582{col 67}{space 3} .2544429
{txt}c_tfull_hc~l {c |}{col 14}{res}{space 2} .0069413{col 26}{space 2} .0932152{col 37}{space 1}    0.07{col 46}{space 3}0.941{col 54}{space 4}-.1771763{col 67}{space 3}  .191059
{txt}c_tfull_hc~s {c |}{col 14}{res}{space 2}-.0096666{col 26}{space 2} .1285501{col 37}{space 1}   -0.08{col 46}{space 3}0.940{col 54}{space 4}-.2635773{col 67}{space 3} .2442441
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2} .2207316{col 26}{space 2} .1777701{col 37}{space 1}    1.24{col 46}{space 3}0.216{col 54}{space 4}-.1303979{col 67}{space 3}  .571861
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2}  .046359{col 26}{space 2} .0370371{col 37}{space 1}    1.25{col 46}{space 3}0.213{col 54}{space 4}-.0267962{col 67}{space 3} .1195141
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2}-.1073878{col 26}{space 2} .1307942{col 37}{space 1}   -0.82{col 46}{space 3}0.413{col 54}{space 4}-.3657311{col 67}{space 3} .1509555
{txt}c_treatful.. {c |}{col 14}{res}{space 2}-.0791342{col 26}{space 2} .1058469{col 37}{space 1}   -0.75{col 46}{space 3}0.456{col 54}{space 4}-.2882018{col 67}{space 3} .1299335
{txt}c_treatful.. {c |}{col 14}{res}{space 2}-.0376313{col 26}{space 2} .1024465{col 37}{space 1}   -0.37{col 46}{space 3}0.714{col 54}{space 4}-.2399826{col 67}{space 3} .1647199
{txt}c_treatful.. {c |}{col 14}{res}{space 2} .1001978{col 26}{space 2} .1272486{col 37}{space 1}    0.79{col 46}{space 3}0.432{col 54}{space 4}-.1511422{col 67}{space 3} .3515378
{txt}c_treatful.. {c |}{col 14}{res}{space 2} .2608738{col 26}{space 2} .3448822{col 37}{space 1}    0.76{col 46}{space 3}0.451{col 54}{space 4}-.4203337{col 67}{space 3} .9420814
{txt}c_treatful.. {c |}{col 14}{res}{space 2}-.0942771{col 26}{space 2} .0459768{col 37}{space 1}   -2.05{col 46}{space 3}0.042{col 54}{space 4}  -.18509{col 67}{space 3}-.0034642
{txt}c_treatful.. {c |}{col 14}{res}{space 2} .2364864{col 26}{space 2} .1318488{col 37}{space 1}    1.79{col 46}{space 3}0.075{col 54}{space 4}  -.02394{col 67}{space 3} .4969128
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} .0022392{col 26}{space 2} .0295056{col 37}{space 1}    0.08{col 46}{space 3}0.940{col 54}{space 4}-.0560401{col 67}{space 3} .0605184
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{com}.                 
.         eststo clear
{txt}
{com}.                         
.         foreach x in `intermediate_hclevel' {c -(}
{txt}  2{com}.                 areg  mean_e_`x' `var' mean_b_`x' mean_b_`x'_d `e_controls_tfull_hc' ``var'_hc_int_e_controls' if uniquehc == 1, robust a(district)
{txt}  3{com}.                 local n_mean_`x' = `e(N)'
{txt}  4{com}.                 local b_mean_`x' = string(_b[treatfull],"%9.3fc")
{txt}  5{com}.                 local se_mean_`x' =string(_se[treatfull],"%9.3fc")
{txt}  6{com}.                 local p_mean_`x' = (2 * ttail(e(df_r), abs(_b[treatfull]/_se[treatfull])))
{txt}  7{com}.                         
.                 if `p_mean_`x'' <= 0.1 & `p_mean_`x'' > 0.05{c -(}
{txt}  8{com}.                         local b_mean_`x' `b_mean_`x''*
{txt}  9{com}.                 {c )-}
{txt} 10{com}.         
.                 if `p_mean_`x'' <= 0.05 & `p_mean_`x'' > 0.01{c -(}
{txt} 11{com}.                         local b_mean_`x' `b_mean_`x''**
{txt} 12{com}.                 {c )-}
{txt} 13{com}.                 
.                 if `p_mean_`x'' <= 0.01 & `p_mean_`x'' > 0 {c -(}
{txt} 14{com}.                         local b_mean_`x' `b_mean_`x''***
{txt} 15{com}.                 {c )-}
{txt} 16{com}.                 
.                 local csb_mean_`x' = string(_b[_cons],"%9.3fc")
{txt} 17{com}.                 local csse_mean_`x' =string(_se[_cons],"%9.3fc")
{txt} 18{com}.                 local p_mean_`x' = (2 * ttail(e(df_r), abs(_b[_cons]/_se[_cons])))
{txt} 19{com}.                         
.                 if `p_mean_`x'' <= 0.1 & `p_mean_`x'' > 0.05{c -(}
{txt} 20{com}.                         local csb_mean_`x' `csb_mean_`x''*
{txt} 21{com}.                 {c )-}
{txt} 22{com}.         
.                 if `p_mean_`x'' <= 0.05 & `p_mean_`x'' > 0.01{c -(}
{txt} 23{com}.                         local csb_mean_`x' `csb_mean_`x''**
{txt} 24{com}.                 {c )-}
{txt} 25{com}.                 
.                 if `p_mean_`x'' <= 0.01 & `p_mean_`x'' > 0 {c -(}
{txt} 26{com}.                         local csb_mean_`x' `csb_mean_`x''***
{txt} 27{com}.                 {c )-}
{txt} 28{com}.                 
.                 {c )-}
{p 0 6 2}{txt}note: mean_b_h_hcpknow_z_d omitted because of collinearity{p_end}
{res}
{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}       187
{txt}{col 49}F({res}  14{txt},{res}    157{txt}){col 67}= {res}      2.65
{txt}{col 49}Prob > F{col 67}= {res}    0.0017
{txt}{col 49}R-squared{col 67}= {res}    0.2756
{txt}{col 49}Adj R-squared{col 67}= {res}    0.1418
{txt}{col 49}Root MSE{col 67}= {res}    0.8033

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}mean_e_h~w_z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2} .1714377{col 26}{space 2}  .120769{col 37}{space 1}    1.42{col 46}{space 3}0.158{col 54}{space 4}-.0671039{col 67}{space 3} .4099793
{txt}mean_b_h~w_z {c |}{col 14}{res}{space 2}  .054997{col 26}{space 2} .0852053{col 37}{space 1}    0.65{col 46}{space 3}0.520{col 54}{space 4}-.1132996{col 67}{space 3} .2232937
{txt}me~pknow_z_d {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
c_tf~_hc_hc2 {c |}{col 14}{res}{space 2}-.2936552{col 26}{space 2} .2234489{col 37}{space 1}   -1.31{col 46}{space 3}0.191{col 54}{space 4}-.7350091{col 67}{space 3} .1476987
{txt}c_tfull_hc~l {c |}{col 14}{res}{space 2} .0447706{col 26}{space 2} .2478513{col 37}{space 1}    0.18{col 46}{space 3}0.857{col 54}{space 4}-.4447826{col 67}{space 3} .5343237
{txt}c_tfull_hc~s {c |}{col 14}{res}{space 2} .7343234{col 26}{space 2} .2546233{col 37}{space 1}    2.88{col 46}{space 3}0.004{col 54}{space 4} .2313941{col 67}{space 3} 1.237253
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2} .2400758{col 26}{space 2} .8114514{col 37}{space 1}    0.30{col 46}{space 3}0.768{col 54}{space 4}-1.362694{col 67}{space 3} 1.842846
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2}-.0483657{col 26}{space 2} .0797291{col 37}{space 1}   -0.61{col 46}{space 3}0.545{col 54}{space 4}-.2058457{col 67}{space 3} .1091142
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2} .1564611{col 26}{space 2} .2633217{col 37}{space 1}    0.59{col 46}{space 3}0.553{col 54}{space 4} -.363649{col 67}{space 3} .6765712
{txt}c_treatful.. {c |}{col 14}{res}{space 2}-.0420162{col 26}{space 2} .3024929{col 37}{space 1}   -0.14{col 46}{space 3}0.890{col 54}{space 4}-.6394969{col 67}{space 3} .5554644
{txt}c_treatful.. {c |}{col 14}{res}{space 2} .3133151{col 26}{space 2} .3244546{col 37}{space 1}    0.97{col 46}{space 3}0.336{col 54}{space 4}-.3275441{col 67}{space 3} .9541744
{txt}c_treatful.. {c |}{col 14}{res}{space 2}-.6615917{col 26}{space 2} .3326143{col 37}{space 1}   -1.99{col 46}{space 3}0.048{col 54}{space 4}-1.318568{col 67}{space 3}-.0046156
{txt}c_treatful.. {c |}{col 14}{res}{space 2} 1.076339{col 26}{space 2} 1.212186{col 37}{space 1}    0.89{col 46}{space 3}0.376{col 54}{space 4}-1.317957{col 67}{space 3} 3.470636
{txt}c_treatful.. {c |}{col 14}{res}{space 2} .0460699{col 26}{space 2} .1322924{col 37}{space 1}    0.35{col 46}{space 3}0.728{col 54}{space 4}-.2152327{col 67}{space 3} .3073724
{txt}c_treatful.. {c |}{col 14}{res}{space 2} .0891063{col 26}{space 2} .3548798{col 37}{space 1}    0.25{col 46}{space 3}0.802{col 54}{space 4}-.6118483{col 67}{space 3}  .790061
{txt}{space 7}_cons {c |}{col 14}{res}{space 2}-.0160752{col 26}{space 2} .0796911{col 37}{space 1}   -0.20{col 46}{space 3}0.840{col 54}{space 4}-.1734802{col 67}{space 3} .1413297
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)
{p 0 6 2}note: mean_b_h_hctrans_z_d omitted because of collinearity{p_end}
{res}
{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}       187
{txt}{col 49}F({res}  14{txt},{res}    157{txt}){col 67}= {res}      8.25
{txt}{col 49}Prob > F{col 67}= {res}    0.0000
{txt}{col 49}R-squared{col 67}= {res}    0.4814
{txt}{col 49}Adj R-squared{col 67}= {res}    0.3856
{txt}{col 49}Root MSE{col 67}= {res}    0.5148

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}mean_e_h~s_z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2} .0066854{col 26}{space 2} .0759779{col 37}{space 1}    0.09{col 46}{space 3}0.930{col 54}{space 4}-.1433853{col 67}{space 3}  .156756
{txt}mean_b_h~s_z {c |}{col 14}{res}{space 2} .1650923{col 26}{space 2} .0906538{col 37}{space 1}    1.82{col 46}{space 3}0.070{col 54}{space 4}-.0139661{col 67}{space 3} .3441507
{txt}mean_b~s_z_d {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
c_tf~_hc_hc2 {c |}{col 14}{res}{space 2}-.5013927{col 26}{space 2} .1850285{col 37}{space 1}   -2.71{col 46}{space 3}0.007{col 54}{space 4}-.8668589{col 67}{space 3}-.1359265
{txt}c_tfull_hc~l {c |}{col 14}{res}{space 2} .0205472{col 26}{space 2} .1507524{col 37}{space 1}    0.14{col 46}{space 3}0.892{col 54}{space 4}-.2772173{col 67}{space 3} .3183116
{txt}c_tfull_hc~s {c |}{col 14}{res}{space 2} .1479767{col 26}{space 2} .1664311{col 37}{space 1}    0.89{col 46}{space 3}0.375{col 54}{space 4}-.1807562{col 67}{space 3} .4767096
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2}  .154435{col 26}{space 2} .2983539{col 37}{space 1}    0.52{col 46}{space 3}0.605{col 54}{space 4}-.4348704{col 67}{space 3} .7437404
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2} .0138824{col 26}{space 2} .0595909{col 37}{space 1}    0.23{col 46}{space 3}0.816{col 54}{space 4}-.1038209{col 67}{space 3} .1315857
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2} .0156507{col 26}{space 2} .1761582{col 37}{space 1}    0.09{col 46}{space 3}0.929{col 54}{space 4}-.3322952{col 67}{space 3} .3635965
{txt}c_treatful.. {c |}{col 14}{res}{space 2} .0218084{col 26}{space 2}  .232442{col 37}{space 1}    0.09{col 46}{space 3}0.925{col 54}{space 4}-.4373084{col 67}{space 3} .4809252
{txt}c_treatful.. {c |}{col 14}{res}{space 2} .4522519{col 26}{space 2} .1795321{col 37}{space 1}    2.52{col 46}{space 3}0.013{col 54}{space 4} .0976421{col 67}{space 3} .8068618
{txt}c_treatful.. {c |}{col 14}{res}{space 2}-.0730731{col 26}{space 2}   .22435{col 37}{space 1}   -0.33{col 46}{space 3}0.745{col 54}{space 4}-.5162068{col 67}{space 3} .3700606
{txt}c_treatful.. {c |}{col 14}{res}{space 2} -1.65775{col 26}{space 2} .7065398{col 37}{space 1}   -2.35{col 46}{space 3}0.020{col 54}{space 4}  -3.0533{col 67}{space 3}-.2622006
{txt}c_treatful.. {c |}{col 14}{res}{space 2} .0066897{col 26}{space 2}  .085823{col 37}{space 1}    0.08{col 46}{space 3}0.938{col 54}{space 4}-.1628269{col 67}{space 3} .1762063
{txt}c_treatful.. {c |}{col 14}{res}{space 2} .2849917{col 26}{space 2} .2551493{col 37}{space 1}    1.12{col 46}{space 3}0.266{col 54}{space 4}-.2189765{col 67}{space 3}   .78896
{txt}{space 7}_cons {c |}{col 14}{res}{space 2}-.0060668{col 26}{space 2} .0531576{col 37}{space 1}   -0.11{col 46}{space 3}0.909{col 54}{space 4} -.111063{col 67}{space 3} .0989294
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{com}.                 
.         ***********************************
.         * Diff in Diff endline - baseline *
.         ***********************************
.         
.         local add_control
{txt}
{com}.                 
.         foreach var of local intermediate {c -(}
{txt}  2{com}.                 local add_control `add_control' b_`var'_d
{txt}  3{com}.                 {c )-}
{txt}
{com}.                 
.         foreach var of local intermediate_hclevel {c -(}
{txt}  2{com}.                 local add_control `add_control' b_`var'_d
{txt}  3{com}.                 {c )-}
{txt}
{com}.         
.         local var treatfull
{txt}
{com}.         
.         local b_intermediate b_ctzknow_z b_eff_z b_commresp_z b_relhhhc_z
{txt}
{com}.         local e_intermediate e_ctzknow_z e_eff_z e_commresp_z e_relhhhc_z
{txt}
{com}.         
.         local b_intermediate_hclevel b_h_hcpknow_z b_h_hctrans_z
{txt}
{com}.         local e_intermediate_hclevel e_h_hcpknow_z e_h_hctrans_z
{txt}
{com}.         
.         keep hh_id hc_id `add_control' `b_intermediate' `b_intermediate_hclevel' `e_intermediate' `e_intermediate_hclevel' `e_controls_tfull_hc' ``var'_hc_int_e_controls' `e_controls_tfull' ``var'_int_e_controls' `e_controls_tfull_hoe' `tfulli_hoe_e_controls' district uniquehc treatfull endline_presence
{txt}
{com}.                 
.         foreach x of local intermediate {c -(}
{txt}  2{com}.                 ren b_`x' `x'_b
{txt}  3{com}.                 ren e_`x' `x'_e
{txt}  4{com}.                 {c )-}
{res}{txt}
{com}.                 
.         foreach x of local intermediate_hclevel {c -(}
{txt}  2{com}.                 ren b_`x' `x'_b
{txt}  3{com}.                 ren e_`x' `x'_e
{txt}  4{com}.                 {c )-}
{res}{txt}
{com}.                 
.         reshape long  `intermediate' `intermediate_hclevel', i(hh_id) j(num) s
{txt}(note: j = _b _e)

Data{col 36}wide{col 43}->{col 48}long
{hline 77}
Number of obs.                 {res}   15295   {txt}->{res}   30590
{txt}Number of variables            {res}      60   {txt}->{res}      55
{txt}j variable (2 values)                     ->   {res}num
{txt}xij variables:
                {res}ctzknow_z_b ctzknow_z_e   {txt}->   {res}ctzknow_z
                        eff_z_b eff_z_e   {txt}->   {res}eff_z
              commresp_z_b commresp_z_e   {txt}->   {res}commresp_z
                relhhhc_z_b relhhhc_z_e   {txt}->   {res}relhhhc_z
            h_hcpknow_z_b h_hcpknow_z_e   {txt}->   {res}h_hcpknow_z
            h_hctrans_z_b h_hctrans_z_e   {txt}->   {res}h_hctrans_z
{txt}{hline 77}

{com}.         
.         gen y16 = (num == "_e")
{txt}
{com}.         
.         drop num
{txt}
{com}.         
.         gen t_16 = treatfull*y16
{txt}(15,354 missing values generated)

{com}.         
.         eststo clear
{txt}
{com}.         
.         foreach x in `intermediate' {c -(}
{txt}  2{com}.                 areg `x' t_16 y16 b_`x'_d `e_controls_tfull' ``var'_int_e_controls' if endline_presence == 1, robust cl(hc_id) a(district)
{txt}  3{com}.                 local n_dd_`x' = `e(N)'
{txt}  4{com}.                 local b_dd_`x' = string(_b[t_16],"%9.3fc")
{txt}  5{com}.                 local se_dd_`x' =string(_se[t_16],"%9.3fc")
{txt}  6{com}.                 local p_dd_`x' = (2 * ttail(e(df_r), abs(_b[t_16]/_se[t_16])))
{txt}  7{com}.                         
.                 if `p_dd_`x'' <= 0.1 & `p_dd_`x'' > 0.05{c -(}
{txt}  8{com}.                         local b_dd_`x' `b_dd_`x''*
{txt}  9{com}.                 {c )-}
{txt} 10{com}.         
.                 if `p_dd_`x'' <= 0.05 & `p_dd_`x'' > 0.01{c -(}
{txt} 11{com}.                         local b_dd_`x' `b_dd_`x''**
{txt} 12{com}.                 {c )-}
{txt} 13{com}.                 
.                 if `p_dd_`x'' <= 0.01 & `p_dd_`x'' > 0 {c -(}
{txt} 14{com}.                         local b_dd_`x' `b_dd_`x''***
{txt} 15{com}.                 {c )-}
{txt} 16{com}.                 
.                 local csb_dd_`x' = string(_b[_cons],"%9.3fc")
{txt} 17{com}.                 local csse_dd_`x' =string(_se[_cons],"%9.3fc")
{txt} 18{com}.                 local p_dd_`x' = (2 * ttail(e(df_r), abs(_b[_cons]/_se[_cons])))
{txt} 19{com}.                         
.                 if `p_dd_`x'' <= 0.1 & `p_dd_`x'' > 0.05{c -(}
{txt} 20{com}.                         local csb_dd_`x' `csb_dd_`x''*
{txt} 21{com}.                 {c )-}
{txt} 22{com}.         
.                 if `p_dd_`x'' <= 0.05 & `p_dd_`x'' > 0.01{c -(}
{txt} 23{com}.                         local csb_dd_`x' `csb_dd_`x''**
{txt} 24{com}.                 {c )-}
{txt} 25{com}.                 
.                 if `p_dd_`x'' <= 0.01 & `p_dd_`x'' > 0 {c -(}
{txt} 26{com}.                         local csb_dd_`x' `csb_dd_`x''***
{txt} 27{com}.                 {c )-}
{txt} 28{com}.                 
.                 {c )-}
{txt}note: b_ctzknow_z_d omitted because of collinearity
{res}
{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}    14,576
{txt}{col 49}F({res}  14{txt},{res}    186{txt}){col 67}= {res}     32.85
{txt}{col 49}Prob > F{col 67}= {res}    0.0000
{txt}{col 49}R-squared{col 67}= {res}    0.0578
{txt}{col 49}Adj R-squared{col 67}= {res}    0.0559
{txt}{col 49}Root MSE{col 67}= {res}    0.7413

{txt}{ralign 78:(Std. Err. adjusted for {res:187} clusters in hc_id)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}   ctzknow_z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 8}t_16 {c |}{col 14}{res}{space 2}-.0670344{col 26}{space 2} .0384501{col 37}{space 1}   -1.74{col 46}{space 3}0.083{col 54}{space 4}-.1428888{col 67}{space 3} .0088199
{txt}{space 9}y16 {c |}{col 14}{res}{space 2} .0029365{col 26}{space 2}  .039689{col 37}{space 1}    0.07{col 46}{space 3}0.941{col 54}{space 4} -.075362{col 67}{space 3} .0812351
{txt}b_ctzknow_~d {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 1}c_tfull_hc2 {c |}{col 14}{res}{space 2}-.0682877{col 26}{space 2}  .032872{col 37}{space 1}   -2.08{col 46}{space 3}0.039{col 54}{space 4}-.1331375{col 67}{space 3}-.0034379
{txt}c_tfull_b_~l {c |}{col 14}{res}{space 2}  .092766{col 26}{space 2} .0400045{col 37}{space 1}    2.32{col 46}{space 3}0.021{col 54}{space 4} .0138451{col 67}{space 3}  .171687
{txt}c_tfull_b_~s {c |}{col 14}{res}{space 2} .0732315{col 26}{space 2} .0444243{col 37}{space 1}    1.65{col 46}{space 3}0.101{col 54}{space 4}-.0144088{col 67}{space 3} .1608717
{txt}c_tfull_b_~d {c |}{col 14}{res}{space 2} .1080055{col 26}{space 2} .0290635{col 37}{space 1}    3.72{col 46}{space 3}0.000{col 54}{space 4} .0506691{col 67}{space 3} .1653419
{txt}c_tfull_ed~r {c |}{col 14}{res}{space 2} .0227273{col 26}{space 2} .0024322{col 37}{space 1}    9.34{col 46}{space 3}0.000{col 54}{space 4} .0179291{col 67}{space 3} .0275255
{txt}c_tfull_b_~x {c |}{col 14}{res}{space 2} .0782095{col 26}{space 2} .0092709{col 37}{space 1}    8.44{col 46}{space 3}0.000{col 54}{space 4} .0599198{col 67}{space 3} .0964991
{txt}c_trea~l_hc2 {c |}{col 14}{res}{space 2}   -.0352{col 26}{space 2} .0409137{col 37}{space 1}   -0.86{col 46}{space 3}0.391{col 54}{space 4}-.1159146{col 67}{space 3} .0455146
{txt}c_treatful.. {c |}{col 14}{res}{space 2}  -.04332{col 26}{space 2} .0494329{col 37}{space 1}   -0.88{col 46}{space 3}0.382{col 54}{space 4}-.1408412{col 67}{space 3} .0542012
{txt}c_treatful.. {c |}{col 14}{res}{space 2} -.030179{col 26}{space 2} .0591422{col 37}{space 1}   -0.51{col 46}{space 3}0.610{col 54}{space 4}-.1468548{col 67}{space 3} .0864968
{txt}c_treatful.. {c |}{col 14}{res}{space 2} -.041886{col 26}{space 2} .0401615{col 37}{space 1}   -1.04{col 46}{space 3}0.298{col 54}{space 4}-.1211166{col 67}{space 3} .0373446
{txt}c_treatful.. {c |}{col 14}{res}{space 2}-.0024287{col 26}{space 2} .0035304{col 37}{space 1}   -0.69{col 46}{space 3}0.492{col 54}{space 4}-.0093934{col 67}{space 3} .0045359
{txt}c_treatful.. {c |}{col 14}{res}{space 2}-.0075785{col 26}{space 2} .0134093{col 37}{space 1}   -0.57{col 46}{space 3}0.573{col 54}{space 4}-.0340325{col 67}{space 3} .0188755
{txt}{space 7}_cons {c |}{col 14}{res}{space 2}-.0056343{col 26}{space 2} .0197314{col 37}{space 1}   -0.29{col 46}{space 3}0.776{col 54}{space 4}-.0445604{col 67}{space 3} .0332918
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)
note: b_eff_z_d omitted because of collinearity
{res}
{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}    14,576
{txt}{col 49}F({res}  14{txt},{res}    186{txt}){col 67}= {res}     13.08
{txt}{col 49}Prob > F{col 67}= {res}    0.0000
{txt}{col 49}R-squared{col 67}= {res}    0.0299
{txt}{col 49}Adj R-squared{col 67}= {res}    0.0279
{txt}{col 49}Root MSE{col 67}= {res}    0.6599

{txt}{ralign 78:(Std. Err. adjusted for {res:187} clusters in hc_id)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}       eff_z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 8}t_16 {c |}{col 14}{res}{space 2}-.0249745{col 26}{space 2} .0245368{col 37}{space 1}   -1.02{col 46}{space 3}0.310{col 54}{space 4}-.0733807{col 67}{space 3} .0234317
{txt}{space 9}y16 {c |}{col 14}{res}{space 2} .0169081{col 26}{space 2} .0197903{col 37}{space 1}    0.85{col 46}{space 3}0.394{col 54}{space 4}-.0221342{col 67}{space 3} .0559505
{txt}{space 3}b_eff_z_d {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 1}c_tfull_hc2 {c |}{col 14}{res}{space 2} .0791284{col 26}{space 2} .0262851{col 37}{space 1}    3.01{col 46}{space 3}0.003{col 54}{space 4} .0272732{col 67}{space 3} .1309836
{txt}c_tfull_b_~l {c |}{col 14}{res}{space 2} .0795019{col 26}{space 2} .0329402{col 37}{space 1}    2.41{col 46}{space 3}0.017{col 54}{space 4} .0145175{col 67}{space 3} .1444862
{txt}c_tfull_b_~s {c |}{col 14}{res}{space 2} .0121459{col 26}{space 2} .0388573{col 37}{space 1}    0.31{col 46}{space 3}0.755{col 54}{space 4}-.0645118{col 67}{space 3} .0888035
{txt}c_tfull_b_~d {c |}{col 14}{res}{space 2} .0088463{col 26}{space 2} .0272736{col 37}{space 1}    0.32{col 46}{space 3}0.746{col 54}{space 4}-.0449591{col 67}{space 3} .0626518
{txt}c_tfull_ed~r {c |}{col 14}{res}{space 2} .0135438{col 26}{space 2} .0022671{col 37}{space 1}    5.97{col 46}{space 3}0.000{col 54}{space 4} .0090713{col 67}{space 3} .0180163
{txt}c_tfull_b_~x {c |}{col 14}{res}{space 2} .0575903{col 26}{space 2} .0110381{col 37}{space 1}    5.22{col 46}{space 3}0.000{col 54}{space 4} .0358143{col 67}{space 3} .0793663
{txt}c_trea~l_hc2 {c |}{col 14}{res}{space 2}-.0671755{col 26}{space 2} .0369822{col 37}{space 1}   -1.82{col 46}{space 3}0.071{col 54}{space 4} -.140134{col 67}{space 3}  .005783
{txt}c_treatful.. {c |}{col 14}{res}{space 2}-.0946743{col 26}{space 2} .0399373{col 37}{space 1}   -2.37{col 46}{space 3}0.019{col 54}{space 4}-.1734626{col 67}{space 3}-.0158859
{txt}c_treatful.. {c |}{col 14}{res}{space 2} .0000951{col 26}{space 2} .0499349{col 37}{space 1}    0.00{col 46}{space 3}0.998{col 54}{space 4}-.0984165{col 67}{space 3} .0986066
{txt}c_treatful.. {c |}{col 14}{res}{space 2} .0234707{col 26}{space 2} .0389699{col 37}{space 1}    0.60{col 46}{space 3}0.548{col 54}{space 4} -.053409{col 67}{space 3} .1003505
{txt}c_treatful.. {c |}{col 14}{res}{space 2}-.0018396{col 26}{space 2} .0032606{col 37}{space 1}   -0.56{col 46}{space 3}0.573{col 54}{space 4}-.0082721{col 67}{space 3} .0045929
{txt}c_treatful.. {c |}{col 14}{res}{space 2}-.0116982{col 26}{space 2} .0144953{col 37}{space 1}   -0.81{col 46}{space 3}0.421{col 54}{space 4}-.0402945{col 67}{space 3}  .016898
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} -.017553{col 26}{space 2}  .011006{col 37}{space 1}   -1.59{col 46}{space 3}0.112{col 54}{space 4}-.0392656{col 67}{space 3} .0041596
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)
note: b_commresp_z_d omitted because of collinearity
{res}
{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}    14,576
{txt}{col 49}F({res}  14{txt},{res}    186{txt}){col 67}= {res}      5.85
{txt}{col 49}Prob > F{col 67}= {res}    0.0000
{txt}{col 49}R-squared{col 67}= {res}    0.0250
{txt}{col 49}Adj R-squared{col 67}= {res}    0.0230
{txt}{col 49}Root MSE{col 67}= {res}    0.7227

{txt}{ralign 78:(Std. Err. adjusted for {res:187} clusters in hc_id)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}  commresp_z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 8}t_16 {c |}{col 14}{res}{space 2}-.0172037{col 26}{space 2} .0224943{col 37}{space 1}   -0.76{col 46}{space 3}0.445{col 54}{space 4}-.0615805{col 67}{space 3} .0271731
{txt}{space 9}y16 {c |}{col 14}{res}{space 2} .0155529{col 26}{space 2} .0208575{col 37}{space 1}    0.75{col 46}{space 3}0.457{col 54}{space 4}-.0255948{col 67}{space 3} .0567005
{txt}b_commresp~d {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 1}c_tfull_hc2 {c |}{col 14}{res}{space 2} .0471722{col 26}{space 2} .0250809{col 37}{space 1}    1.88{col 46}{space 3}0.062{col 54}{space 4}-.0023075{col 67}{space 3} .0966518
{txt}c_tfull_b_~l {c |}{col 14}{res}{space 2} .0046112{col 26}{space 2} .0288166{col 37}{space 1}    0.16{col 46}{space 3}0.873{col 54}{space 4}-.0522383{col 67}{space 3} .0614607
{txt}c_tfull_b_~s {c |}{col 14}{res}{space 2} .0418344{col 26}{space 2} .0256342{col 37}{space 1}    1.63{col 46}{space 3}0.104{col 54}{space 4}-.0087368{col 67}{space 3} .0924057
{txt}c_tfull_b_~d {c |}{col 14}{res}{space 2} .0380032{col 26}{space 2} .0287091{col 37}{space 1}    1.32{col 46}{space 3}0.187{col 54}{space 4}-.0186341{col 67}{space 3} .0946405
{txt}c_tfull_ed~r {c |}{col 14}{res}{space 2} .0039432{col 26}{space 2} .0022324{col 37}{space 1}    1.77{col 46}{space 3}0.079{col 54}{space 4}-.0004608{col 67}{space 3} .0083472
{txt}c_tfull_b_~x {c |}{col 14}{res}{space 2} .0462401{col 26}{space 2} .0099803{col 37}{space 1}    4.63{col 46}{space 3}0.000{col 54}{space 4} .0265509{col 67}{space 3} .0659292
{txt}c_trea~l_hc2 {c |}{col 14}{res}{space 2} .0173237{col 26}{space 2} .0339777{col 37}{space 1}    0.51{col 46}{space 3}0.611{col 54}{space 4}-.0497074{col 67}{space 3} .0843549
{txt}c_treatful.. {c |}{col 14}{res}{space 2} .0243679{col 26}{space 2}  .036808{col 37}{space 1}    0.66{col 46}{space 3}0.509{col 54}{space 4} -.048247{col 67}{space 3} .0969828
{txt}c_treatful.. {c |}{col 14}{res}{space 2} -.015433{col 26}{space 2}  .031961{col 37}{space 1}   -0.48{col 46}{space 3}0.630{col 54}{space 4}-.0784857{col 67}{space 3} .0476198
{txt}c_treatful.. {c |}{col 14}{res}{space 2}-.0168246{col 26}{space 2} .0383748{col 37}{space 1}   -0.44{col 46}{space 3}0.662{col 54}{space 4}-.0925304{col 67}{space 3} .0588812
{txt}c_treatful.. {c |}{col 14}{res}{space 2} .0053645{col 26}{space 2} .0032778{col 37}{space 1}    1.64{col 46}{space 3}0.103{col 54}{space 4} -.001102{col 67}{space 3} .0118309
{txt}c_treatful.. {c |}{col 14}{res}{space 2} -.010438{col 26}{space 2} .0132481{col 37}{space 1}   -0.79{col 46}{space 3}0.432{col 54}{space 4}-.0365739{col 67}{space 3} .0156979
{txt}{space 7}_cons {c |}{col 14}{res}{space 2}-.0162508{col 26}{space 2} .0100878{col 37}{space 1}   -1.61{col 46}{space 3}0.109{col 54}{space 4}-.0361521{col 67}{space 3} .0036505
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)
note: b_relhhhc_z_d omitted because of collinearity
{res}
{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}    14,576
{txt}{col 49}F({res}  14{txt},{res}    186{txt}){col 67}= {res}      1.93
{txt}{col 49}Prob > F{col 67}= {res}    0.0257
{txt}{col 49}R-squared{col 67}= {res}    0.0292
{txt}{col 49}Adj R-squared{col 67}= {res}    0.0272
{txt}{col 49}Root MSE{col 67}= {res}    0.5666

{txt}{ralign 78:(Std. Err. adjusted for {res:187} clusters in hc_id)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}   relhhhc_z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 8}t_16 {c |}{col 14}{res}{space 2}  .029798{col 26}{space 2}  .039961{col 37}{space 1}    0.75{col 46}{space 3}0.457{col 54}{space 4}-.0490372{col 67}{space 3} .1086331
{txt}{space 9}y16 {c |}{col 14}{res}{space 2} .0464649{col 26}{space 2} .0387628{col 37}{space 1}    1.20{col 46}{space 3}0.232{col 54}{space 4}-.0300065{col 67}{space 3} .1229362
{txt}b_relhhhc_~d {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 1}c_tfull_hc2 {c |}{col 14}{res}{space 2} .1165839{col 26}{space 2} .0517308{col 37}{space 1}    2.25{col 46}{space 3}0.025{col 54}{space 4} .0145293{col 67}{space 3} .2186385
{txt}c_tfull_b_~l {c |}{col 14}{res}{space 2} .0453821{col 26}{space 2}  .062005{col 37}{space 1}    0.73{col 46}{space 3}0.465{col 54}{space 4}-.0769413{col 67}{space 3} .1677056
{txt}c_tfull_b_~s {c |}{col 14}{res}{space 2}-.0388661{col 26}{space 2} .0758706{col 37}{space 1}   -0.51{col 46}{space 3}0.609{col 54}{space 4}-.1885436{col 67}{space 3} .1108113
{txt}c_tfull_b_~d {c |}{col 14}{res}{space 2} .0339603{col 26}{space 2} .0231568{col 37}{space 1}    1.47{col 46}{space 3}0.144{col 54}{space 4}-.0117235{col 67}{space 3} .0796441
{txt}c_tfull_ed~r {c |}{col 14}{res}{space 2} .0002166{col 26}{space 2} .0020796{col 37}{space 1}    0.10{col 46}{space 3}0.917{col 54}{space 4}-.0038861{col 67}{space 3} .0043192
{txt}c_tfull_b_~x {c |}{col 14}{res}{space 2}-.0008112{col 26}{space 2} .0110267{col 37}{space 1}   -0.07{col 46}{space 3}0.941{col 54}{space 4}-.0225647{col 67}{space 3} .0209422
{txt}c_trea~l_hc2 {c |}{col 14}{res}{space 2} .0091284{col 26}{space 2} .0743602{col 37}{space 1}    0.12{col 46}{space 3}0.902{col 54}{space 4}-.1375693{col 67}{space 3} .1558262
{txt}c_treatful.. {c |}{col 14}{res}{space 2}-.0360188{col 26}{space 2} .0755832{col 37}{space 1}   -0.48{col 46}{space 3}0.634{col 54}{space 4}-.1851294{col 67}{space 3} .1130918
{txt}c_treatful.. {c |}{col 14}{res}{space 2} .0699364{col 26}{space 2} .0946276{col 37}{space 1}    0.74{col 46}{space 3}0.461{col 54}{space 4}-.1167449{col 67}{space 3} .2566177
{txt}c_treatful.. {c |}{col 14}{res}{space 2} .0294594{col 26}{space 2}  .043612{col 37}{space 1}    0.68{col 46}{space 3}0.500{col 54}{space 4}-.0565783{col 67}{space 3} .1154972
{txt}c_treatful.. {c |}{col 14}{res}{space 2}-.0018409{col 26}{space 2} .0030597{col 37}{space 1}   -0.60{col 46}{space 3}0.548{col 54}{space 4}-.0078771{col 67}{space 3} .0041952
{txt}c_treatful.. {c |}{col 14}{res}{space 2}  .021528{col 26}{space 2} .0162135{col 37}{space 1}    1.33{col 46}{space 3}0.186{col 54}{space 4}-.0104579{col 67}{space 3} .0535139
{txt}{space 7}_cons {c |}{col 14}{res}{space 2}-.0423162{col 26}{space 2} .0261635{col 37}{space 1}   -1.62{col 46}{space 3}0.107{col 54}{space 4}-.0939315{col 67}{space 3} .0092991
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{com}.                 
.         eststo clear
{txt}
{com}.                         
.         foreach x in `intermediate_hclevel' {c -(}
{txt}  2{com}.                 areg `x' t_16 y16 b_`x'_d `e_controls_tfull_hc' ``var'_hc_int_e_controls' if uniquehc == 1, robust a(district)
{txt}  3{com}.                 local n_dd_`x' = `e(N)'
{txt}  4{com}.                 local b_dd_`x' = string(_b[t_16],"%9.3fc")
{txt}  5{com}.                 local se_dd_`x' =string(_se[t_16],"%9.3fc")
{txt}  6{com}.                 local p_dd_`x' = (2 * ttail(e(df_r), abs(_b[t_16]/_se[t_16])))
{txt}  7{com}.                         
.                 if `p_dd_`x'' <= 0.1 & `p_dd_`x'' > 0.05{c -(}
{txt}  8{com}.                         local b_dd_`x' `b_dd_`x''*
{txt}  9{com}.                 {c )-}
{txt} 10{com}.         
.                 if `p_dd_`x'' <= 0.05 & `p_dd_`x'' > 0.01{c -(}
{txt} 11{com}.                         local b_dd_`x' `b_dd_`x''**
{txt} 12{com}.                 {c )-}
{txt} 13{com}.                 
.                 if `p_dd_`x'' <= 0.01 & `p_dd_`x'' > 0 {c -(}
{txt} 14{com}.                         local b_dd_`x' `b_dd_`x''***
{txt} 15{com}.                 {c )-}
{txt} 16{com}.                 
.                 local csb_dd_`x' = string(_b[_cons],"%9.3fc")
{txt} 17{com}.                 local csse_dd_`x' =string(_se[_cons],"%9.3fc")
{txt} 18{com}.                 local p_dd_`x' = (2 * ttail(e(df_r), abs(_b[_cons]/_se[_cons])))
{txt} 19{com}.                         
.                 if `p_dd_`x'' <= 0.1 & `p_dd_`x'' > 0.05{c -(}
{txt} 20{com}.                         local csb_dd_`x' `csb_dd_`x''*
{txt} 21{com}.                 {c )-}
{txt} 22{com}.         
.                 if `p_dd_`x'' <= 0.05 & `p_dd_`x'' > 0.01{c -(}
{txt} 23{com}.                         local csb_dd_`x' `csb_dd_`x''**
{txt} 24{com}.                 {c )-}
{txt} 25{com}.                 
.                 if `p_dd_`x'' <= 0.01 & `p_dd_`x'' > 0 {c -(}
{txt} 26{com}.                         local csb_dd_`x' `csb_dd_`x''***
{txt} 27{com}.                 {c )-}
{txt} 28{com}.                 
.                 {c )-}
{p 0 6 2}{txt}note: b_h_hcpknow_z_d omitted because of collinearity{p_end}
{res}
{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}       374
{txt}{col 49}F({res}  14{txt},{res}    344{txt}){col 67}= {res}      3.34
{txt}{col 49}Prob > F{col 67}= {res}    0.0000
{txt}{col 49}R-squared{col 67}= {res}    0.1893
{txt}{col 49}Adj R-squared{col 67}= {res}    0.1209
{txt}{col 49}Root MSE{col 67}= {res}    0.7707

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1} h_hcpknow_z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 8}t_16 {c |}{col 14}{res}{space 2} .1882989{col 26}{space 2} .1180426{col 37}{space 1}    1.60{col 46}{space 3}0.112{col 54}{space 4}-.0438772{col 67}{space 3} .4204749
{txt}{space 9}y16 {c |}{col 14}{res}{space 2}-.0692639{col 26}{space 2} .0954582{col 37}{space 1}   -0.73{col 46}{space 3}0.469{col 54}{space 4}-.2570191{col 67}{space 3} .1184912
{txt}b_h_hcpkno~d {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
c_tful~c_hc2 {c |}{col 14}{res}{space 2}-.4969735{col 26}{space 2}  .157074{col 37}{space 1}   -3.16{col 46}{space 3}0.002{col 54}{space 4}-.8059198{col 67}{space 3}-.1880271
{txt}c_tfull_hc~l {c |}{col 14}{res}{space 2} .0187824{col 26}{space 2} .1917128{col 37}{space 1}    0.10{col 46}{space 3}0.922{col 54}{space 4}-.3582944{col 67}{space 3} .3958592
{txt}c_tfull_hc~s {c |}{col 14}{res}{space 2} .3020181{col 26}{space 2} .2061992{col 37}{space 1}    1.46{col 46}{space 3}0.144{col 54}{space 4}-.1035517{col 67}{space 3}  .707588
{txt}c_tfull_hc~d {c |}{col 14}{res}{space 2}-.2168707{col 26}{space 2} .5073489{col 37}{space 1}   -0.43{col 46}{space 3}0.669{col 54}{space 4}-1.214767{col 67}{space 3} .7810257
{txt}c_tfull_hc~r {c |}{col 14}{res}{space 2} -.088949{col 26}{space 2} .0597843{col 37}{space 1}   -1.49{col 46}{space 3}0.138{col 54}{space 4}-.2065379{col 67}{space 3} .0286399
{txt}c_tfull_hc~x {c |}{col 14}{res}{space 2} .2021578{col 26}{space 2} .1894115{col 37}{space 1}    1.07{col 46}{space 3}0.287{col 54}{space 4}-.1703926{col 67}{space 3} .5747082
{txt}c_trea~c_hc2 {c |}{col 14}{res}{space 2} .3532549{col 26}{space 2} .2087936{col 37}{space 1}    1.69{col 46}{space 3}0.092{col 54}{space 4}-.0574178{col 67}{space 3} .7639276
{txt}c_treatful.. {c |}{col 14}{res}{space 2} .1974781{col 26}{space 2} .2287173{col 37}{space 1}    0.86{col 46}{space 3}0.389{col 54}{space 4}-.2523822{col 67}{space 3} .6473385
{txt}c_treatful.. {c |}{col 14}{res}{space 2}-.0301773{col 26}{space 2}  .265283{col 37}{space 1}   -0.11{col 46}{space 3}0.909{col 54}{space 4}-.5519581{col 67}{space 3} .4916036
{txt}c_treatful.. {c |}{col 14}{res}{space 2} 1.025662{col 26}{space 2} .8179703{col 37}{space 1}    1.25{col 46}{space 3}0.211{col 54}{space 4}-.5831906{col 67}{space 3} 2.634515
{txt}c_treatful.. {c |}{col 14}{res}{space 2} .1330946{col 26}{space 2} .0914749{col 37}{space 1}    1.45{col 46}{space 3}0.147{col 54}{space 4} -.046826{col 67}{space 3} .3130151
{txt}c_treatful.. {c |}{col 14}{res}{space 2} .1317593{col 26}{space 2} .2514254{col 37}{space 1}    0.52{col 46}{space 3}0.601{col 54}{space 4}-.3627653{col 67}{space 3}  .626284
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} .0461451{col 26}{space 2} .0548961{col 37}{space 1}    0.84{col 46}{space 3}0.401{col 54}{space 4}-.0618292{col 67}{space 3} .1541194
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)
{p 0 6 2}note: b_h_hctrans_z_d omitted because of collinearity{p_end}
{res}
{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}       374
{txt}{col 49}F({res}  14{txt},{res}    344{txt}){col 67}= {res}      5.87
{txt}{col 49}Prob > F{col 67}= {res}    0.0000
{txt}{col 49}R-squared{col 67}= {res}    0.2652
{txt}{col 49}Adj R-squared{col 67}= {res}    0.2032
{txt}{col 49}Root MSE{col 67}= {res}    0.5560

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1} h_hctrans_z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 8}t_16 {c |}{col 14}{res}{space 2}-.0116752{col 26}{space 2} .0800035{col 37}{space 1}   -0.15{col 46}{space 3}0.884{col 54}{space 4}-.1690328{col 67}{space 3} .1456824
{txt}{space 9}y16 {c |}{col 14}{res}{space 2}-.0046898{col 26}{space 2} .0689651{col 37}{space 1}   -0.07{col 46}{space 3}0.946{col 54}{space 4}-.1403361{col 67}{space 3} .1309566
{txt}b_h_hctran~d {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
c_tful~c_hc2 {c |}{col 14}{res}{space 2}-.4240377{col 26}{space 2}  .128204{col 37}{space 1}   -3.31{col 46}{space 3}0.001{col 54}{space 4}-.6762001{col 67}{space 3}-.1718753
{txt}c_tfull_hc~l {c |}{col 14}{res}{space 2} .0437572{col 26}{space 2}  .108232{col 37}{space 1}    0.40{col 46}{space 3}0.686{col 54}{space 4}-.1691225{col 67}{space 3} .2566369
{txt}c_tfull_hc~s {c |}{col 14}{res}{space 2} .1372757{col 26}{space 2} .1287949{col 37}{space 1}    1.07{col 46}{space 3}0.287{col 54}{space 4}-.1160489{col 67}{space 3} .3906004
{txt}c_tfull_hc~d {c |}{col 14}{res}{space 2} .1771702{col 26}{space 2} .2350039{col 37}{space 1}    0.75{col 46}{space 3}0.451{col 54}{space 4}-.2850552{col 67}{space 3} .6393956
{txt}c_tfull_hc~r {c |}{col 14}{res}{space 2} .0273827{col 26}{space 2} .0492045{col 37}{space 1}    0.56{col 46}{space 3}0.578{col 54}{space 4}-.0693969{col 67}{space 3} .1241622
{txt}c_tfull_hc~x {c |}{col 14}{res}{space 2}-.0445387{col 26}{space 2} .1236482{col 37}{space 1}   -0.36{col 46}{space 3}0.719{col 54}{space 4}-.2877404{col 67}{space 3}  .198663
{txt}c_trea~c_hc2 {c |}{col 14}{res}{space 2} .1162258{col 26}{space 2} .1609968{col 37}{space 1}    0.72{col 46}{space 3}0.471{col 54}{space 4}-.2004362{col 67}{space 3} .4328879
{txt}c_treatful.. {c |}{col 14}{res}{space 2} .1105708{col 26}{space 2} .1383416{col 37}{space 1}    0.80{col 46}{space 3}0.425{col 54}{space 4}-.1615311{col 67}{space 3} .3826727
{txt}c_treatful.. {c |}{col 14}{res}{space 2} .0138545{col 26}{space 2} .1870145{col 37}{space 1}    0.07{col 46}{space 3}0.941{col 54}{space 4}-.3539814{col 67}{space 3} .3816903
{txt}c_treatful.. {c |}{col 14}{res}{space 2}-.7509576{col 26}{space 2} .6190227{col 37}{space 1}   -1.21{col 46}{space 3}0.226{col 54}{space 4}-1.968503{col 67}{space 3} .4665882
{txt}c_treatful.. {c |}{col 14}{res}{space 2} .0292974{col 26}{space 2} .0720812{col 37}{space 1}    0.41{col 46}{space 3}0.685{col 54}{space 4} -.112478{col 67}{space 3} .1710729
{txt}c_treatful.. {c |}{col 14}{res}{space 2} .1850999{col 26}{space 2} .2278581{col 37}{space 1}    0.81{col 46}{space 3}0.417{col 54}{space 4}-.2630707{col 67}{space 3} .6332704
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} .0030579{col 26}{space 2} .0417019{col 37}{space 1}    0.07{col 46}{space 3}0.942{col 54}{space 4} -.078965{col 67}{space 3} .0850807
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{com}.                 
.         texdoc init "${c -(}tables{c )-}/TableI29.tex", replace force
{res}{txt}(texdoc output file is /Users/fredericcochinard/Dropbox/ACT_Health_JOP_replication_file/3.Tables and Figures/Tables/TableI29.tex)
{res}{txt}
{com}.         tex \begin{c -(}table{c )-}[htbp]\centering
{res}{txt}
{com}.         tex \footnotesize
{res}{txt}
{com}.         tex \def\sym#1{c -(}\ifmmode^{c -(}#1{c )-}\else\(^{c -(}#1{c )-}\)\fi{c )-}
{res}{txt}
{com}.         tex \caption{c -(}Robustness checks -- Intermediate outcomes{c )-}
{res}{txt}
{com}.         tex \begin{c -(}tabular{c )-}{c -(}lgggggggg{c )-}
{res}{txt}
{com}.         tex \toprule
{res}{txt}
{com}.         tex                                                                               & (1)                       & (2)                                                          & (3)                                                             & (4)                                                        & (5)                       & (6)                                            \\
{res}{txt}
{com}.     tex                                & \textbf{c -(}\begin{c -(}tabular{c )-}[c]{c -(}@{c -(}{c )-}c@{c -(}{c )-}{c )-}Citizen \\ knowledge\end{c -(}tabular{c )-}{c )-}      & \textbf{c -(}\begin{c -(}tabular{c )-}[c]{c -(}@{c -(}{c )-}c@{c -(}{c )-}{c )-}HC staff \\ knowledge\end{c -(}tabular{c )-}{c )-} & \textbf{c -(}Efficacy{c )-} & \textbf{c -(}\begin{c -(}tabular{c )-}[c]{c -(}@{c -(}{c )-}c@{c -(}{c )-}{c )-}Community \\ responsibility\end{c -(}tabular{c )-}{c )-}   & \textbf{c -(}Relationship{c )-} & \textbf{c -(}\begin{c -(}tabular{c )-}[c]{c -(}@{c -(}{c )-}c@{c -(}{c )-}{c )-}HC \\ transparency\end{c -(}tabular{c )-}{c )-}     \\
{res}{txt}
{com}.         tex \midrule
{res}{txt}
{com}.         tex \textit{c -(}A: Without control variables{c )-} \\
{res}{txt}
{com}.         tex \multirow{c -(}2{c )-}{c -(}*{c )-}{c -(}Program impact{c )-}   &`b_nocon_ctzknow_z'           & `b_nocon_h_hcpknow_z'                                                            & `b_nocon_eff_z'                                                               & `b_nocon_commresp_z'                                                           & `b_nocon_relhhhc_z' & `b_nocon_h_hctrans_z'         \\
{res}{txt}
{com}.         tex  & (`se_nocon_ctzknow_z')           & (`se_nocon_h_hcpknow_z')                                                            & (`se_nocon_eff_z')                                                               & (`se_nocon_commresp_z')                                                           & (`se_nocon_relhhhc_z') & (`se_nocon_h_hctrans_z')        \\
{res}{txt}
{com}.         tex \multirow{c -(}2{c )-}{c -(}*{c )-}{c -(}Constant{c )-}   &`csb_nocon_ctzknow_z'           & `csb_nocon_h_hcpknow_z'                                                            & `csb_nocon_eff_z'                                                               & `csb_nocon_commresp_z'                                                           & `csb_nocon_relhhhc_z' & `csb_nocon_h_hctrans_z'         \\
{res}{txt}
{com}.         tex  & (`csse_nocon_ctzknow_z')           & (`csse_nocon_h_hcpknow_z')                                                            & (`csse_nocon_eff_z')                                                               & (`csse_nocon_commresp_z')                                                          & (`csse_nocon_relhhhc_z') & (`csse_nocon_h_hctrans_z')        \\
{res}{txt}
{com}.         tex \\
{res}{txt}
{com}.         tex \textit{c -(}B: Without district fixed effects{c )-} \\
{res}{txt}
{com}.         tex \multirow{c -(}2{c )-}{c -(}*{c )-}{c -(}Program impact{c )-}   &`b_nofe_ctzknow_z'           & `b_nofe_h_hcpknow_z'                                                            & `b_nofe_eff_z'                                                               & `b_nofe_commresp_z'                                                           & `b_nofe_relhhhc_z' & `b_nofe_h_hctrans_z'        \\
{res}{txt}
{com}.         tex  & (`se_nofe_ctzknow_z')           & (`se_nofe_h_hcpknow_z')                                                            & (`se_nofe_eff_z')                                                               & (`se_nofe_commresp_z')                                                          & (`se_nofe_relhhhc_z') & (`se_nofe_h_hctrans_z')        \\
{res}{txt}
{com}.         tex \multirow{c -(}2{c )-}{c -(}*{c )-}{c -(}Constant{c )-}   &`csb_nofe_ctzknow_z'           & `csb_nofe_h_hcpknow_z'                                                            & `csb_nofe_eff_z'                                                               & `csb_nofe_commresp_z'                                                          & `csb_nofe_relhhhc_z' & `csb_nofe_h_hctrans_z'      \\
{res}{txt}
{com}.         tex  & (`csse_nofe_ctzknow_z')           & (`csse_nofe_h_hcpknow_z')                                                            & (`csse_nofe_eff_z')                                                               & (`csse_nofe_commresp_z')                                                           & (`csse_nofe_relhhhc_z') & (`csse_nofe_h_hctrans_z')      \\
{res}{txt}
{com}.         tex \\ 
{res}{txt}
{com}.         tex \textit{c -(}C: Without ouctome measures aggregated at HC level{c )-} \\
{res}{txt}
{com}.         tex \multirow{c -(}2{c )-}{c -(}*{c )-}{c -(}Program impact{c )-}   &`b_mean_ctzknow_z'           & `b_mean_h_hcpknow_z'                                                            & `b_mean_eff_z'                                                               & `b_mean_commresp_z'                                                          & `b_mean_relhhhc_z' & `b_mean_h_hctrans_z'        \\
{res}{txt}
{com}.         tex  & (`se_mean_ctzknow_z')           & (`se_mean_h_hcpknow_z')                                                            & (`se_mean_eff_z')                                                               & (`se_mean_commresp_z')                                                           & (`se_mean_relhhhc_z') & (`se_mean_h_hctrans_z')        \\
{res}{txt}
{com}.         tex \multirow{c -(}2{c )-}{c -(}*{c )-}{c -(}Constant{c )-}   &`csb_mean_ctzknow_z'           & `csb_mean_h_hcpknow_z'                                                            & `csb_mean_eff_z'                                                               & `csb_mean_commresp_z'                                                          & `csb_mean_relhhhc_z' & `csb_mean_h_hctrans_z'       \\
{res}{txt}
{com}.         tex  & (`csse_mean_ctzknow_z')           & (`csse_mean_h_hcpknow_z')                                                            & (`csse_mean_eff_z')                                                               & (`csse_mean_commresp_z')                                                          & (`csse_mean_relhhhc_z') & (`csse_mean_h_hctrans_z')       \\
{res}{txt}
{com}.         tex \\ 
{res}{txt}
{com}.         tex \textit{c -(}D: Difference between post and pre-treatment values{c )-} \\
{res}{txt}
{com}.         tex \multirow{c -(}2{c )-}{c -(}*{c )-}{c -(}Program impact{c )-}   &`b_dd_ctzknow_z'           & `b_dd_h_hcpknow_z'                                                            & `b_dd_eff_z'                                                               & `b_dd_commresp_z'                                                          & `b_dd_relhhhc_z' & `b_dd_h_hctrans_z'         \\
{res}{txt}
{com}.         tex  & (`se_dd_ctzknow_z')           & (`se_dd_h_hcpknow_z')                                                            & (`se_dd_eff_z')                                                               & (`se_dd_commresp_z')                                                          & (`se_dd_relhhhc_z') & (`se_dd_h_hctrans_z')          \\
{res}{txt}
{com}.         tex \multirow{c -(}2{c )-}{c -(}*{c )-}{c -(}Constant{c )-}   &`csb_dd_ctzknow_z'           & `csb_dd_h_hcpknow_z'                                                            & `csb_dd_eff_z'                                                               & `csb_dd_commresp_z'                                                          & `csb_dd_relhhhc_z' & `csb_dd_h_hctrans_z'         \\
{res}{txt}
{com}.         tex  & (`csse_dd_ctzknow_z')           & (`csse_dd_h_hcpknow_z')                                                            & (`csse_dd_eff_z')                                                               & (`csse_dd_commresp_z')                                                          & (`csse_dd_relhhhc_z') & (`csse_dd_h_hctrans_z')         \\
{res}{txt}
{com}.         tex \midrule
{res}{txt}
{com}.         tex Observations (A \& B)  &`n_nocon_ctzknow_z'           & `n_nocon_h_hcpknow_z'                                                            & `n_nocon_eff_z'                                                               & `n_nocon_commresp_z'                                                          & `n_nocon_relhhhc_z' & `n_nocon_h_hctrans_z'         \\
{res}{txt}
{com}.         tex Observations (C) & `n_mean_ctzknow_z'           & `n_mean_h_hcpknow_z'                                                            & `n_mean_eff_z'                                                               & `n_mean_commresp_z'                                                          & `n_mean_relhhhc_z' & `n_mean_h_hctrans_z'         \\
{res}{txt}
{com}.         tex Observations (D) & `n_dd_ctzknow_z'           & `n_dd_h_hcpknow_z'                                                            & `n_dd_eff_z'                                                               & `n_dd_commresp_z'                                                         & `n_dd_relhhhc_z' & `n_dd_h_hctrans_z'         \\
{res}{txt}
{com}.         tex \bottomrule
{res}{txt}
{com}.         tex \end{c -(}tabular{c )-}
{res}{txt}
{com}.         tex \end{c -(}table{c )-}
{res}{txt}
{com}.         texdoc close
{txt}(texdoc output written to {browse `"/Users/fredericcochinard/Dropbox/ACT_Health_JOP_replication_file/3.Tables and Figures/Tables/TableI29.tex"':/Users/fredericcochinard/Dropbox/ACT_Health_JOP_replication_file/3.Tables and Figures/Tables/TableI29.tex})
{res}{txt}
{com}.         
.         *************************************************
.         * Table I30: Child mortality at the child level *
.         *************************************************
. 
.         * We load the dataset
.         
.         use "${c -(}usedata{c )-}/mortality_endline_ind.dta", clear
{txt}
{com}.         
.         ***************
.         * Regressions *
.         ***************
.         
.         **********************************************************
.         ** Controlvar corresponds to the main control variables **
.         **********************************************************
.         
.         * All the variable are measured at baseline
.                 * health center is a health center II: hc2
.                 * health center is providing a official delivery services: b_h_del
.                 * health center has a staff house: b_h_staff_houses  ||| We dropped this variable because there was no variation (only 4 HCs without any staff houses)
.                 * the household declared to have visited the health center: b_visited_d
.                 * years of education of the interviewed head of HH: educyr
.                 * households asset index: b_assetindex
.         
.         * We set up the control variable local including the different bracket of the child mortality
.         
.         local controls_noprefix hc2 b_h_del b_h_staff_houses b_visited_d educyr b_assetindex
{txt}
{com}.         
.         local controls
{txt}
{com}.         local controls_tfull
{txt}
{com}.         
.         foreach bracket in 01 12 23 34 45 05 15 {c -(}
{txt}  2{com}.                 local controls_tfull`bracket'
{txt}  3{com}.                 local controls_`bracket'
{txt}  4{com}.                 {c )-}
{txt}
{com}. 
.         foreach var in treatfull treatinter treatinfo fullomn infomn intomn{c -(}
{txt}  2{com}.                 local `var'_int_controls
{txt}  3{com}.                 {c )-}
{txt}
{com}.                 
.         foreach bracket in 01 12 23 34 45 05 15 {c -(}
{txt}  2{com}.                 foreach var in treatfull treatinter treatinfo infint fullomn infomn intomn {c -(}
{txt}  3{com}.                         local `var'_`bracket'_controls
{txt}  4{com}.                         {c )-}
{txt}  5{com}.                 {c )-}
{txt}
{com}.                 
.         * We populate the control variable local including the different bracket of the child mortality
.         
.         foreach var of local controls_noprefix {c -(}
{txt}  2{com}.                 local controls `controls' c_`var'
{txt}  3{com}.                 {c )-}
{txt}
{com}.         
.         
.         foreach var of local controls_noprefix {c -(}
{txt}  2{com}.                 local controls_tfull `controls_tfull' c_tfull_`var'
{txt}  3{com}.                 {c )-}
{txt}
{com}.                 
.         foreach bracket in 01 12 23 34 45 05 15 {c -(}
{txt}  2{com}.                 foreach var of local controls_noprefix {c -(}
{txt}  3{com}.                         local controls_tfull`bracket' `controls_tfull`bracket'' c_tfull`bracket'_`var'
{txt}  4{com}.                         local controls_`bracket' `controls_`bracket'' c_`bracket'_`var'
{txt}  5{com}.                         {c )-}
{txt}  6{com}.                 {c )-}
{txt}
{com}. 
.         foreach treat in treatfull treatinter treatinfo fullomn infomn intomn {c -(}
{txt}  2{com}.                 foreach var of local controls_noprefix {c -(}
{txt}  3{com}.                         local `treat'_int_controls ``treat'_int_controls' c_`treat'_`var'
{txt}  4{com}.                         {c )-}
{txt}  5{com}.                 {c )-}
{txt}
{com}.                 
.         foreach bracket in 01 12 23 34 45 05 15 {c -(}
{txt}  2{com}.                 foreach treat in treatfull treatinfo treatinter infint fullomn infomn intomn {c -(}
{txt}  3{com}.                         foreach var of local controls_noprefix {c -(}
{txt}  4{com}.                                 local `treat'_`bracket'_controls ``treat'_`bracket'_controls' c_`treat'`bracket'_`var'
{txt}  5{com}.                                 {c )-}
{txt}  6{com}.                         {c )-}
{txt}  7{com}.                 {c )-}
{txt}
{com}.         
.         * Checking all locals are defined:
.         
.         foreach bracket in 05 01 15 {c -(}
{txt}  2{com}.                 sum `controls_tfull`bracket'' 
{txt}  3{com}.                 {c )-}

{txt}    Variable {c |}        Obs        Mean    Std. Dev.       Min        Max
{hline 13}{c +}{hline 57}
c_tfull05_~2 {c |}{res}     20,478    .0127704    .4878013  -.5970548   .4029453
{txt}c_tfull05_~l {c |}{res}     20,478   -.0398582    .4868595  -.6537853   .3462147
{txt}c_tfull05_~s {c |}{res}     20,478   -.0132644    .4005727  -.8125123   .1874876
{txt}c_tfull05_~d {c |}{res}     20,478      .00626    .2386939  -.9330896   .0669105
{txt}c_tfull05_~r {c |}{res}     20,478   -.1435013    4.069981  -7.595408   10.40459
{txt}{hline 13}{c +}{hline 57}
c_tfull05_~x {c |}{res}     20,478   -.0069285    .9710615  -1.914272   5.432162

{txt}    Variable {c |}        Obs        Mean    Std. Dev.       Min        Max
{hline 13}{c +}{hline 57}
c_tfull01_~2 {c |}{res}     20,478    .0170451    .4878012  -.5927801   .4072199
{txt}c_tfull01_~l {c |}{res}     20,478   -.0481904    .4868595  -.6621175   .3378825
{txt}c_tfull01_~s {c |}{res}     20,478   -.0242167    .4005727  -.8234647   .1765353
{txt}c_tfull01_~d {c |}{res}     20,478    .0111083    .2386939  -.9282413   .0717587
{txt}c_tfull01_~r {c |}{res}     20,478     -.29063    4.069981  -7.742537   10.25746
{txt}{hline 13}{c +}{hline 57}
c_tfull01_~x {c |}{res}     20,478    .0104393    .9710615  -1.896904    5.44953

{txt}    Variable {c |}        Obs        Mean    Std. Dev.       Min        Max
{hline 13}{c +}{hline 57}
c_tfull15_~2 {c |}{res}     20,478    .0115623    .4878013  -.5982629   .4017371
{txt}c_tfull15_~l {c |}{res}     20,478   -.0372599    .4868595   -.651187    .348813
{txt}c_tfull15_~s {c |}{res}     20,478   -.0090902    .4005727  -.8083382   .1916618
{txt}c_tfull15_~d {c |}{res}     20,478    .0052442    .2386939  -.9341054   .0658946
{txt}c_tfull15_~r {c |}{res}     20,478    -.105656    4.069981  -7.557563   10.44244
{txt}{hline 13}{c +}{hline 57}
c_tfull15_~x {c |}{res}     20,478   -.0155649    .9710615  -1.922908   5.423525
{txt}
{com}.         
.         foreach bracket in 05 01 15 {c -(}
{txt}  2{com}.                 sum `treatfull_`bracket'_controls' 
{txt}  3{com}.                 {c )-}

{txt}    Variable {c |}        Obs        Mean    Std. Dev.       Min        Max
{hline 13}{c +}{hline 57}
c_tr~l05_hc2 {c |}{res}     10,175    .0089588    .3438865  -.5970548   .4029453
{txt}c_treatful.. {c |}{res}     10,175    -.003727    .3377978  -.6537853   .3462147
{txt}c_treatful.. {c |}{res}     10,175   -.0001904     .275957  -.8125123   .1874876
{txt}c_treatful.. {c |}{res}     10,175    .0024345    .1704307  -.9330896   .0669105
{txt}c_treatful.. {c |}{res}     10,175   -.0124974    2.820715  -7.595408   10.40459
{txt}{hline 13}{c +}{hline 57}
c_treatful.. {c |}{res}     10,175    .0013211      .69562  -1.914272   4.556864

{txt}    Variable {c |}        Obs        Mean    Std. Dev.       Min        Max
{hline 13}{c +}{hline 57}
c_tr~l01_hc2 {c |}{res}     10,175    .0110921    .3439489  -.5927801   .4072199
{txt}c_treatful.. {c |}{res}     10,175   -.0078853    .3378695  -.6621175   .3378825
{txt}c_treatful.. {c |}{res}     10,175   -.0056564    .2760151  -.8234647   .1765353
{txt}c_treatful.. {c |}{res}     10,175    .0048541    .1704826  -.9282413   .0717587
{txt}c_treatful.. {c |}{res}     10,175   -.0859244    2.822001  -7.742537   10.25746
{txt}{hline 13}{c +}{hline 57}
c_treatful.. {c |}{res}     10,175    .0099888    .6956908  -1.896904   4.574232

{txt}    Variable {c |}        Obs        Mean    Std. Dev.       Min        Max
{hline 13}{c +}{hline 57}
c_tr~l15_hc2 {c |}{res}     10,175    .0083559    .3438713  -.5982629   .4017371
{txt}c_treatful.. {c |}{res}     10,175   -.0024302    .3377859   -.651187    .348813
{txt}c_treatful.. {c |}{res}     10,175    .0018928    .2759634  -.8083382   .1916618
{txt}c_treatful.. {c |}{res}     10,175    .0019276    .1704242  -.9341054   .0658946
{txt}c_treatful.. {c |}{res}     10,175    .0063899    2.820695  -7.557563   10.44244
{txt}{hline 13}{c +}{hline 57}
c_treatful.. {c |}{res}     10,175    -.002989    .6956252  -1.922908   4.548227
{txt}
{com}.         foreach bracket in 05 01 15 {c -(}
{txt}  2{com}.                 sum e_calendermonth_ab_`bracket'  
{txt}  3{com}.                 {c )-}

{txt}    Variable {c |}        Obs        Mean    Std. Dev.       Min        Max
{hline 13}{c +}{hline 57}
e_calende~05 {c |}{res}     20,371    26.23371    3.699595          2         29

{txt}    Variable {c |}        Obs        Mean    Std. Dev.       Min        Max
{hline 13}{c +}{hline 57}
e_calende~01 {c |}{res}      9,171     18.6273     8.13398          1         29

{txt}    Variable {c |}        Obs        Mean    Std. Dev.       Min        Max
{hline 13}{c +}{hline 57}
e_calende~15 {c |}{res}     17,363    26.10067    3.941997          2         29
{txt}
{com}.                 
.         foreach bracket in 05 01 15 {c -(}
{txt}  2{com}.                 sum e_agebracket_`bracket'
{txt}  3{com}.                 {c )-}

{txt}    Variable {c |}        Obs        Mean    Std. Dev.       Min        Max
{hline 13}{c +}{hline 57}
e_agebrac~05 {c |}{res}     20,478    .9947749    .0720977          0          1

{txt}    Variable {c |}        Obs        Mean    Std. Dev.       Min        Max
{hline 13}{c +}{hline 57}
e_agebrac~01 {c |}{res}     20,478    .4478465    .4972847          0          1

{txt}    Variable {c |}        Obs        Mean    Std. Dev.       Min        Max
{hline 13}{c +}{hline 57}
e_agebrac~15 {c |}{res}     20,478    .8478855    .3591406          0          1
{txt}
{com}.                 
.         foreach bracket in 05 01 15 {c -(}
{txt}  2{com}.                 sum e_survmonths_ab_`bracket'
{txt}  3{com}.                 {c )-}

{txt}    Variable {c |}        Obs        Mean    Std. Dev.       Min        Max
{hline 13}{c +}{hline 57}
e_survmon~05 {c |}{res}     20,371    18.23946    7.641796          1         26

{txt}    Variable {c |}        Obs        Mean    Std. Dev.       Min        Max
{hline 13}{c +}{hline 57}
e_survmon~01 {c |}{res}      9,171     7.92051    3.830132          1         13

{txt}    Variable {c |}        Obs        Mean    Std. Dev.       Min        Max
{hline 13}{c +}{hline 57}
e_survmon~15 {c |}{res}     17,363    17.21575    7.643214          1         26
{txt}
{com}.                 
.         * We regress the results at endline for each bracket concerned in the PAP
.         
.         * Full treatment with birth month and synthetic cohort approach baseline HC level and no district FE
.         
.         eststo clear
{txt}
{com}.         
.         local y = 1
{txt}
{com}.         foreach bracket in 05 01 15{c -(}
{txt}  2{com}.                 stset e_survmonths_ab_`bracket', failure(dead_endline==1) id(childroster_id)
{txt}  3{com}.                 stcox treatfull `controls_tfull`bracket'' `treatfull_`bracket'_controls' e_birthmonth b_mortrate_`bracket' if e_agebracket_`bracket' == 1, vce(cluster hc_id)
{txt}  4{com}.                 estimate store m`y'
{txt}  5{com}.         
.                 stphtest, detail
{txt}  6{com}.                 
.                 local y = `y' + 1
{txt}  7{com}.                 {c )-}

                {txt}id:  {res}childroster_id
     {txt}failure event:  {res}dead_endline == 1
{txt}obs. time interval:  {res}(e_survmonths_ab_05[_n-1], e_survmonths_ab_05]
{txt} exit on or before:  {res}failure

{txt}{hline 78}
{res}      20478{txt}  total observations
{res}        107{txt}  event time missing (e_survmonths_ab_05>=.)         PROBABLE ERROR
{hline 78}
{res}      20371{txt}  observations remaining, representing
{res}      20371{txt}  subjects
{res}        229{txt}  failures in single-failure-per-subject data
{res}     371556{txt}  total analysis time at risk and under observation
                                                at risk from t = {res}        0
                                     {txt}earliest observed entry t = {res}        0
                                          {txt}last observed exit t = {res}       26

         {txt}failure _d:  {res}dead_endline == 1
   {txt}analysis time _t:  {res}e_survmonths_ab_05
                 {txt}id:  {res}childroster_id

{txt}Iteration 0:   log pseudolikelihood = {res}-1057.7817
{txt}Iteration 1:   log pseudolikelihood = {res} -1044.136
{txt}Iteration 2:   log pseudolikelihood = {res}-1043.8103
{txt}Iteration 3:   log pseudolikelihood = {res}-1043.8094
{txt}Iteration 4:   log pseudolikelihood = {res}-1043.8094
{txt}Refining estimates:
Iteration 0:   log pseudolikelihood = {res}-1043.8094

{txt}Cox regression -- Breslow method for ties

No. of subjects      = {res}      10,118             {txt}Number of obs    =  {res}    10,118
{txt}No. of failures      = {res}         118
{txt}Time at risk         = {res}      184479
                                                {txt}Wald chi2({res}15{txt})    =  {res}     26.74
{txt}Log pseudolikelihood =   {res}-1043.8094             {txt}Prob > chi2      =  {res}    0.0309

{txt}{ralign 78:(Std. Err. adjusted for {res:187} clusters in hc_id)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}          _t{col 14}{c |} Haz. Ratio{col 26}   Std. Err.{col 38}      z{col 46}   P>|z|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2} 1.058965{col 26}{space 2} .2386071{col 37}{space 1}    0.25{col 46}{space 3}0.799{col 54}{space 4} .6809072{col 67}{space 3}  1.64693
{txt}c_tfull05_~2 {c |}{col 14}{res}{space 2} 1.073285{col 26}{space 2} .4046006{col 37}{space 1}    0.19{col 46}{space 3}0.851{col 54}{space 4} .5126659{col 67}{space 3} 2.246963
{txt}c_tfull05_~l {c |}{col 14}{res}{space 2}  1.39356{col 26}{space 2} .5813595{col 37}{space 1}    0.80{col 46}{space 3}0.426{col 54}{space 4} .6152122{col 67}{space 3} 3.156649
{txt}c_tfull05_~s {c |}{col 14}{res}{space 2} 1.263697{col 26}{space 2} .6326303{col 37}{space 1}    0.47{col 46}{space 3}0.640{col 54}{space 4} .4737135{col 67}{space 3}  3.37109
{txt}c_tfull05_~d {c |}{col 14}{res}{space 2} .4809056{col 26}{space 2} .2015143{col 37}{space 1}   -1.75{col 46}{space 3}0.081{col 54}{space 4}  .211534{col 67}{space 3}   1.0933
{txt}c_tfull05_~r {c |}{col 14}{res}{space 2} .9797958{col 26}{space 2} .0279112{col 37}{space 1}   -0.72{col 46}{space 3}0.474{col 54}{space 4}   .92659{col 67}{space 3} 1.036057
{txt}c_tfull05_~x {c |}{col 14}{res}{space 2} .6655516{col 26}{space 2} .1267664{col 37}{space 1}   -2.14{col 46}{space 3}0.033{col 54}{space 4} .4581998{col 67}{space 3} .9667373
{txt}c_tr~l05_hc2 {c |}{col 14}{res}{space 2} 1.394156{col 26}{space 2} .6878412{col 37}{space 1}    0.67{col 46}{space 3}0.501{col 54}{space 4} .5300905{col 67}{space 3} 3.666676
{txt}c_treatful.. {c |}{col 14}{res}{space 2} .7723248{col 26}{space 2}  .385476{col 37}{space 1}   -0.52{col 46}{space 3}0.605{col 54}{space 4} .2903727{col 67}{space 3} 2.054207
{txt}c_treatful.. {c |}{col 14}{res}{space 2} .8652581{col 26}{space 2} .5233605{col 37}{space 1}   -0.24{col 46}{space 3}0.811{col 54}{space 4} .2644158{col 67}{space 3} 2.831418
{txt}c_treatful.. {c |}{col 14}{res}{space 2} 2.488371{col 26}{space 2} 1.657888{col 37}{space 1}    1.37{col 46}{space 3}0.171{col 54}{space 4} .6742153{col 67}{space 3} 9.183996
{txt}c_treatful.. {c |}{col 14}{res}{space 2} .9629054{col 26}{space 2} .0415139{col 37}{space 1}   -0.88{col 46}{space 3}0.381{col 54}{space 4} .8848826{col 67}{space 3} 1.047808
{txt}c_treatful.. {c |}{col 14}{res}{space 2} 1.119458{col 26}{space 2} .2737068{col 37}{space 1}    0.46{col 46}{space 3}0.644{col 54}{space 4} .6932495{col 67}{space 3} 1.807699
{txt}e_birthmonth {c |}{col 14}{res}{space 2} 1.009223{col 26}{space 2} .0279873{col 37}{space 1}    0.33{col 46}{space 3}0.741{col 54}{space 4} .9558331{col 67}{space 3} 1.065595
{txt}b_mortrat~05 {c |}{col 14}{res}{space 2} .8108441{col 26}{space 2} 1.386829{col 37}{space 1}   -0.12{col 46}{space 3}0.902{col 54}{space 4} .0283846{col 67}{space 3} 23.16285
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

      Test of proportional-hazards assumption

      Time:  {res}Time
{txt}      {hline 12}{c TT}{hline 51}
                  {c |}       rho            chi2       df       Prob>chi2
      {hline 12}{c +}{hline 51}
      treatfull{col 19}{c |}{res}{col 25}-0.09887{col 37}     1.52{col 50}    1{col 64}0.2181
{txt}      c_tfull05_~2{col 19}{c |}{res}{col 25}-0.03574{col 37}     0.34{col 50}    1{col 64}0.5612
{txt}      c_tfull05_~l{col 19}{c |}{res}{col 25}-0.02484{col 37}     0.14{col 50}    1{col 64}0.7044
{txt}      c_tfull05_~s{col 19}{c |}{res}{col 25} 0.05371{col 37}     0.66{col 50}    1{col 64}0.4177
{txt}      c_tfull05_~d{col 19}{c |}{res}{col 25} 0.03145{col 37}     0.19{col 50}    1{col 64}0.6595
{txt}      c_tfull05_~r{col 19}{c |}{res}{col 25}-0.06395{col 37}     0.38{col 50}    1{col 64}0.5364
{txt}      c_tfull05_~x{col 19}{c |}{res}{col 25}-0.12862{col 37}     4.43{col 50}    1{col 64}0.0354
{txt}      c_tr~l05_hc2{col 19}{c |}{res}{col 25} 0.07010{col 37}     1.11{col 50}    1{col 64}0.2929
{txt}      c_treatful..{col 19}{c |}{res}{col 25} 0.04854{col 37}     0.47{col 50}    1{col 64}0.4948
{txt}      c_treatful..{col 19}{c |}{res}{col 25}-0.02332{col 37}     0.10{col 50}    1{col 64}0.7475
{txt}      c_treatful..{col 19}{c |}{res}{col 25}-0.04488{col 37}     0.28{col 50}    1{col 64}0.5945
{txt}      c_treatful..{col 19}{c |}{res}{col 25} 0.01746{col 37}     0.03{col 50}    1{col 64}0.8535
{txt}      c_treatful..{col 19}{c |}{res}{col 25} 0.07791{col 37}     1.24{col 50}    1{col 64}0.2649
{txt}      e_birthmonth{col 19}{c |}{res}{col 25}-0.06947{col 37}     0.82{col 50}    1{col 64}0.3645
{txt}      b_mortrat~05{col 19}{c |}{res}{col 25} 0.03521{col 37}     0.26{col 50}    1{col 64}0.6098
{txt}      {hline 12}{c +}{hline 51}
      global test {c |}{res}{col 37}    12.82{col 50}   15{col 64}0.6159
{txt}      {hline 12}{c BT}{hline 51}

note: robust variance-covariance matrix used.

                id:  {res}childroster_id
     {txt}failure event:  {res}dead_endline == 1
{txt}obs. time interval:  {res}(e_survmonths_ab_01[_n-1], e_survmonths_ab_01]
{txt} exit on or before:  {res}failure

{txt}{hline 78}
{res}      20478{txt}  total observations
{res}      11307{txt}  event time missing (e_survmonths_ab_01>=.)         PROBABLE ERROR
{hline 78}
{res}       9171{txt}  observations remaining, representing
{res}       9171{txt}  subjects
{res}        180{txt}  failures in single-failure-per-subject data
{res}      72639{txt}  total analysis time at risk and under observation
                                                at risk from t = {res}        0
                                     {txt}earliest observed entry t = {res}        0
                                          {txt}last observed exit t = {res}       13

         {txt}failure _d:  {res}dead_endline == 1
   {txt}analysis time _t:  {res}e_survmonths_ab_01
                 {txt}id:  {res}childroster_id

{txt}Iteration 0:   log pseudolikelihood = {res}-736.71072
{txt}Iteration 1:   log pseudolikelihood = {res}-729.04064
{txt}Iteration 2:   log pseudolikelihood = {res}-728.88664
{txt}Iteration 3:   log pseudolikelihood = {res} -728.8863
{txt}Iteration 4:   log pseudolikelihood = {res} -728.8863
{txt}Refining estimates:
Iteration 0:   log pseudolikelihood = {res} -728.8863

{txt}Cox regression -- Breslow method for ties

No. of subjects      = {res}       4,543             {txt}Number of obs    =  {res}     4,543
{txt}No. of failures      = {res}          91
{txt}Time at risk         = {res}       35809
                                                {txt}Wald chi2({res}15{txt})    =  {res}     18.04
{txt}Log pseudolikelihood =   {res} -728.8863             {txt}Prob > chi2      =  {res}    0.2604

{txt}{ralign 78:(Std. Err. adjusted for {res:187} clusters in hc_id)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}          _t{col 14}{c |} Haz. Ratio{col 26}   Std. Err.{col 38}      z{col 46}   P>|z|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2} 1.119645{col 26}{space 2} .2947264{col 37}{space 1}    0.43{col 46}{space 3}0.668{col 54}{space 4} .6683697{col 67}{space 3} 1.875615
{txt}c_tfull01_~2 {c |}{col 14}{res}{space 2} .8050419{col 26}{space 2} .3503537{col 37}{space 1}   -0.50{col 46}{space 3}0.618{col 54}{space 4} .3430648{col 67}{space 3} 1.889126
{txt}c_tfull01_~l {c |}{col 14}{res}{space 2} 1.339705{col 26}{space 2} .7181291{col 37}{space 1}    0.55{col 46}{space 3}0.585{col 54}{space 4} .4685274{col 67}{space 3} 3.830745
{txt}c_tfull01_~s {c |}{col 14}{res}{space 2} .7928351{col 26}{space 2} .4484824{col 37}{space 1}   -0.41{col 46}{space 3}0.682{col 54}{space 4} .2616281{col 67}{space 3} 2.402599
{txt}c_tfull01_~d {c |}{col 14}{res}{space 2} .4485654{col 26}{space 2} .2098888{col 37}{space 1}   -1.71{col 46}{space 3}0.087{col 54}{space 4}  .179283{col 67}{space 3} 1.122309
{txt}c_tfull01_~r {c |}{col 14}{res}{space 2} .9588248{col 26}{space 2} .0318301{col 37}{space 1}   -1.27{col 46}{space 3}0.205{col 54}{space 4} .8984252{col 67}{space 3} 1.023285
{txt}c_tfull01_~x {c |}{col 14}{res}{space 2} .8036914{col 26}{space 2} .1486789{col 37}{space 1}   -1.18{col 46}{space 3}0.237{col 54}{space 4} .5592696{col 67}{space 3} 1.154935
{txt}c_tr~l01_hc2 {c |}{col 14}{res}{space 2} 1.543361{col 26}{space 2} .8767236{col 37}{space 1}    0.76{col 46}{space 3}0.445{col 54}{space 4} .5069125{col 67}{space 3} 4.698964
{txt}c_treatful.. {c |}{col 14}{res}{space 2} .8146542{col 26}{space 2} .5124237{col 37}{space 1}   -0.33{col 46}{space 3}0.745{col 54}{space 4} .2374439{col 67}{space 3} 2.795024
{txt}c_treatful.. {c |}{col 14}{res}{space 2} 1.122918{col 26}{space 2} .7738106{col 37}{space 1}    0.17{col 46}{space 3}0.866{col 54}{space 4} .2909235{col 67}{space 3}  4.33428
{txt}c_treatful.. {c |}{col 14}{res}{space 2} 2.296549{col 26}{space 2} 1.605271{col 37}{space 1}    1.19{col 46}{space 3}0.234{col 54}{space 4} .5835689{col 67}{space 3} 9.037731
{txt}c_treatful.. {c |}{col 14}{res}{space 2} .9797861{col 26}{space 2} .0491714{col 37}{space 1}   -0.41{col 46}{space 3}0.684{col 54}{space 4}     .888{col 67}{space 3} 1.081059
{txt}c_treatful.. {c |}{col 14}{res}{space 2} .9883544{col 26}{space 2} .2472674{col 37}{space 1}   -0.05{col 46}{space 3}0.963{col 54}{space 4} .6052829{col 67}{space 3} 1.613864
{txt}e_birthmonth {c |}{col 14}{res}{space 2} 1.023644{col 26}{space 2} .0328834{col 37}{space 1}    0.73{col 46}{space 3}0.467{col 54}{space 4} .9611804{col 67}{space 3} 1.090166
{txt}b_mortrat~01 {c |}{col 14}{res}{space 2} 2.682558{col 26}{space 2}  4.90436{col 37}{space 1}    0.54{col 46}{space 3}0.589{col 54}{space 4}  .074533{col 67}{space 3} 96.54945
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

      Test of proportional-hazards assumption

      Time:  {res}Time
{txt}      {hline 12}{c TT}{hline 51}
                  {c |}       rho            chi2       df       Prob>chi2
      {hline 12}{c +}{hline 51}
      treatfull{col 19}{c |}{res}{col 25} 0.01878{col 37}     0.05{col 50}    1{col 64}0.8246
{txt}      c_tfull01_~2{col 19}{c |}{res}{col 25}-0.01171{col 37}     0.03{col 50}    1{col 64}0.8641
{txt}      c_tfull01_~l{col 19}{c |}{res}{col 25} 0.00827{col 37}     0.02{col 50}    1{col 64}0.9011
{txt}      c_tfull01_~s{col 19}{c |}{res}{col 25} 0.01117{col 37}     0.03{col 50}    1{col 64}0.8679
{txt}      c_tfull01_~d{col 19}{c |}{res}{col 25}-0.01180{col 37}     0.03{col 50}    1{col 64}0.8739
{txt}      c_tfull01_~r{col 19}{c |}{res}{col 25}-0.05714{col 37}     0.31{col 50}    1{col 64}0.5781
{txt}      c_tfull01_~x{col 19}{c |}{res}{col 25}-0.06498{col 37}     0.82{col 50}    1{col 64}0.3660
{txt}      c_tr~l01_hc2{col 19}{c |}{res}{col 25}-0.02227{col 37}     0.10{col 50}    1{col 64}0.7562
{txt}      c_treatful..{col 19}{c |}{res}{col 25}-0.01825{col 37}     0.06{col 50}    1{col 64}0.8008
{txt}      c_treatful..{col 19}{c |}{res}{col 25}-0.00744{col 37}     0.01{col 50}    1{col 64}0.9192
{txt}      c_treatful..{col 19}{c |}{res}{col 25}-0.04695{col 37}     0.27{col 50}    1{col 64}0.6008
{txt}      c_treatful..{col 19}{c |}{res}{col 25}-0.02368{col 37}     0.06{col 50}    1{col 64}0.8004
{txt}      c_treatful..{col 19}{c |}{res}{col 25} 0.06405{col 37}     0.60{col 50}    1{col 64}0.4373
{txt}      e_birthmonth{col 19}{c |}{res}{col 25}-0.01525{col 37}     0.03{col 50}    1{col 64}0.8607
{txt}      b_mortrat~01{col 19}{c |}{res}{col 25}-0.11631{col 37}     2.01{col 50}    1{col 64}0.1561
{txt}      {hline 12}{c +}{hline 51}
      global test {c |}{res}{col 37}     5.65{col 50}   15{col 64}0.9850
{txt}      {hline 12}{c BT}{hline 51}

note: robust variance-covariance matrix used.

                id:  {res}childroster_id
     {txt}failure event:  {res}dead_endline == 1
{txt}obs. time interval:  {res}(e_survmonths_ab_15[_n-1], e_survmonths_ab_15]
{txt} exit on or before:  {res}failure

{txt}{hline 78}
{res}      20478{txt}  total observations
{res}       3115{txt}  event time missing (e_survmonths_ab_15>=.)         PROBABLE ERROR
{hline 78}
{res}      17363{txt}  observations remaining, representing
{res}      17363{txt}  subjects
{res}         92{txt}  failures in single-failure-per-subject data
{res}     298917{txt}  total analysis time at risk and under observation
                                                at risk from t = {res}        0
                                     {txt}earliest observed entry t = {res}        0
                                          {txt}last observed exit t = {res}       26

         {txt}failure _d:  {res}dead_endline == 1
   {txt}analysis time _t:  {res}e_survmonths_ab_15
                 {txt}id:  {res}childroster_id

{txt}Iteration 0:   log pseudolikelihood = {res}-428.88538
{txt}Iteration 1:   log pseudolikelihood = {res}-410.87969
{txt}Iteration 2:   log pseudolikelihood = {res}-409.49089
{txt}Iteration 3:   log pseudolikelihood = {res}-409.46032
{txt}Iteration 4:   log pseudolikelihood = {res}-409.46016
{txt}Iteration 5:   log pseudolikelihood = {res}-409.46016
{txt}Refining estimates:
Iteration 0:   log pseudolikelihood = {res}-409.46016

{txt}Cox regression -- Breslow method for ties

No. of subjects      = {res}       8,635             {txt}Number of obs    =  {res}     8,635
{txt}No. of failures      = {res}          50
{txt}Time at risk         = {res}      148670
                                                {txt}Wald chi2({res}15{txt})    =  {res}     35.14
{txt}Log pseudolikelihood =   {res}-409.46016             {txt}Prob > chi2      =  {res}    0.0023

{txt}{ralign 78:(Std. Err. adjusted for {res:187} clusters in hc_id)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}          _t{col 14}{c |} Haz. Ratio{col 26}   Std. Err.{col 38}      z{col 46}   P>|z|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2} .6116273{col 26}{space 2} .2863993{col 37}{space 1}   -1.05{col 46}{space 3}0.294{col 54}{space 4} .2442896{col 67}{space 3}  1.53133
{txt}c_tfull15_~2 {c |}{col 14}{res}{space 2} 1.176035{col 26}{space 2} .6573923{col 37}{space 1}    0.29{col 46}{space 3}0.772{col 54}{space 4} .3931939{col 67}{space 3} 3.517497
{txt}c_tfull15_~l {c |}{col 14}{res}{space 2}   1.5227{col 26}{space 2} 1.082771{col 37}{space 1}    0.59{col 46}{space 3}0.554{col 54}{space 4} .3778646{col 67}{space 3} 6.136097
{txt}c_tfull15_~s {c |}{col 14}{res}{space 2} 1.332191{col 26}{space 2} 1.458132{col 37}{space 1}    0.26{col 46}{space 3}0.793{col 54}{space 4} .1559175{col 67}{space 3}  11.3825
{txt}c_tfull15_~d {c |}{col 14}{res}{space 2} .7815273{col 26}{space 2}   .56754{col 37}{space 1}   -0.34{col 46}{space 3}0.734{col 54}{space 4} .1882813{col 67}{space 3} 3.244002
{txt}c_tfull15_~r {c |}{col 14}{res}{space 2}  .998048{col 26}{space 2} .0356797{col 37}{space 1}   -0.05{col 46}{space 3}0.956{col 54}{space 4} .9305108{col 67}{space 3} 1.070487
{txt}c_tfull15_~x {c |}{col 14}{res}{space 2} .4282792{col 26}{space 2} .1358402{col 37}{space 1}   -2.67{col 46}{space 3}0.008{col 54}{space 4} .2300095{col 67}{space 3} .7974588
{txt}c_tr~l15_hc2 {c |}{col 14}{res}{space 2}  1.61275{col 26}{space 2}  1.20558{col 37}{space 1}    0.64{col 46}{space 3}0.523{col 54}{space 4} .3726212{col 67}{space 3} 6.980175
{txt}c_treatful.. {c |}{col 14}{res}{space 2} .7142447{col 26}{space 2} .6112128{col 37}{space 1}   -0.39{col 46}{space 3}0.694{col 54}{space 4} .1334854{col 67}{space 3} 3.821732
{txt}c_treatful.. {c |}{col 14}{res}{space 2} 2.431443{col 26}{space 2} 3.562368{col 37}{space 1}    0.61{col 46}{space 3}0.544{col 54}{space 4} .1376408{col 67}{space 3} 42.95175
{txt}c_treatful.. {c |}{col 14}{res}{space 2}  1.30363{col 26}{space 2} 1.632158{col 37}{space 1}    0.21{col 46}{space 3}0.832{col 54}{space 4} .1120575{col 67}{space 3} 15.16588
{txt}c_treatful.. {c |}{col 14}{res}{space 2} .9289979{col 26}{space 2} .0597211{col 37}{space 1}   -1.15{col 46}{space 3}0.252{col 54}{space 4} .8190207{col 67}{space 3} 1.053743
{txt}c_treatful.. {c |}{col 14}{res}{space 2} 1.054444{col 26}{space 2} .5117464{col 37}{space 1}    0.11{col 46}{space 3}0.913{col 54}{space 4} .4073014{col 67}{space 3} 2.729805
{txt}e_birthmonth {c |}{col 14}{res}{space 2} .9746385{col 26}{space 2} .0383002{col 37}{space 1}   -0.65{col 46}{space 3}0.513{col 54}{space 4} .9023895{col 67}{space 3} 1.052672
{txt}b_mortrat~15 {c |}{col 14}{res}{space 2} .0000509{col 26}{space 2} .0005863{col 37}{space 1}   -0.86{col 46}{space 3}0.391{col 54}{space 4} 7.89e-15{col 67}{space 3} 327862.8
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

      Test of proportional-hazards assumption

      Time:  {res}Time
{txt}      {hline 12}{c TT}{hline 51}
                  {c |}       rho            chi2       df       Prob>chi2
      {hline 12}{c +}{hline 51}
      treatfull{col 19}{c |}{res}{col 25} 0.11713{col 37}     1.47{col 50}    1{col 64}0.2250
{txt}      c_tfull15_~2{col 19}{c |}{res}{col 25} 0.06850{col 37}     0.66{col 50}    1{col 64}0.4160
{txt}      c_tfull15_~l{col 19}{c |}{res}{col 25}-0.13294{col 37}     5.48{col 50}    1{col 64}0.0193
{txt}      c_tfull15_~s{col 19}{c |}{res}{col 25} 0.14619{col 37}     6.98{col 50}    1{col 64}0.0082
{txt}      c_tfull15_~d{col 19}{c |}{res}{col 25} 0.08900{col 37}     1.64{col 50}    1{col 64}0.2002
{txt}      c_tfull15_~r{col 19}{c |}{res}{col 25} 0.01370{col 37}     0.00{col 50}    1{col 64}0.9465
{txt}      c_tfull15_~x{col 19}{c |}{res}{col 25} 0.09029{col 37}     1.61{col 50}    1{col 64}0.2046
{txt}      c_tr~l15_hc2{col 19}{c |}{res}{col 25} 0.07967{col 37}     0.73{col 50}    1{col 64}0.3926
{txt}      c_treatful..{col 19}{c |}{res}{col 25} 0.20079{col 37}     9.22{col 50}    1{col 64}0.0024
{txt}      c_treatful..{col 19}{c |}{res}{col 25}-0.22208{col 37}    10.08{col 50}    1{col 64}0.0015
{txt}      c_treatful..{col 19}{c |}{res}{col 25}-0.09154{col 37}     1.39{col 50}    1{col 64}0.2382
{txt}      c_treatful..{col 19}{c |}{res}{col 25}-0.04677{col 37}     0.11{col 50}    1{col 64}0.7447
{txt}      c_treatful..{col 19}{c |}{res}{col 25} 0.09473{col 37}     1.81{col 50}    1{col 64}0.1790
{txt}      e_birthmonth{col 19}{c |}{res}{col 25}-0.07132{col 37}     0.56{col 50}    1{col 64}0.4540
{txt}      b_mortrat~15{col 19}{c |}{res}{col 25} 0.14613{col 37}     1.92{col 50}    1{col 64}0.1659
{txt}      {hline 12}{c +}{hline 51}
      global test {c |}{res}{col 37}    22.36{col 50}   15{col 64}0.0988
{txt}      {hline 12}{c BT}{hline 51}

note: robust variance-covariance matrix used.

{com}.         
.         * We compute the adjusted p-value
.         
.         estimates restore m1
{txt}(results {stata estimates replay m1:m1} are active now)

{com}.         estadd scalar adj_p = 0.900

{txt}added scalar:
              e(adj_p) =  {res}.9
{txt}
{com}.         
.         estimates restore m2
{txt}(results {stata estimates replay m2:m2} are active now)

{com}.         estadd scalar adj_p = 0.515

{txt}added scalar:
              e(adj_p) =  {res}.515
{txt}
{com}.         
.         estimates restore m3
{txt}(results {stata estimates replay m3:m3} are active now)

{com}.         estadd scalar adj_p = 0.450

{txt}added scalar:
              e(adj_p) =  {res}.45
{txt}
{com}.         
.         * We outsheet the results
.         
.         # delimit;
{txt}delimiter now ;
{com}.                 esttab m1 m2 m3
>         using "${c -(}tables{c )-}/TableI30.tex", b(%5.3f) se(%5.3f) eform
>                 title(Child mortality at the child level)
>                 keep(treatfull)
>                 varlabels (treatfull "Full treatment")  
>                 starlevels(* .10 ** .05 *** .01)                
>                 mtitles("\textbf{c -(}\begin{c -(}tabular{c )-}[c]{c -(}@{c -(}{c )-}c@{c -(}{c )-}{c )-}0-5 years old\end{c -(}tabular{c )-}{c )-}"
>                                 "\textbf{c -(}\begin{c -(}tabular{c )-}[c]{c -(}@{c -(}{c )-}c@{c -(}{c )-}{c )-}0-1 year old\end{c -(}tabular{c )-}{c )-}"
>                                 "\textbf{c -(}\begin{c -(}tabular{c )-}[c]{c -(}@{c -(}{c )-}c@{c -(}{c )-}{c )-}1-5 years old\end{c -(}tabular{c )-}{c )-}")
>                 stats(N adj_p, labels("N" "Adjusted p-value (FT)") fmt(%9.0fc %9.3fc)) label booktabs nonotes replace
>         
>         ;
{res}{txt}(output written to {browse  `"/Users/fredericcochinard/Dropbox/ACT_Health_JOP_replication_file/3.Tables and Figures/Tables/TableI30.tex"'})

{com}.                 # delimit cr
{txt}delimiter now cr
{com}.         
.         **********************************************************
.         * Table I31: Main outcomes – Principal component indices *
.         **********************************************************
.         
.         * &
.         
.         ******************************************************************
.         * Table I32: Intermediate outcomes – Principal component indices *
.         ******************************************************************
.         
.         * We load the dataset. This is the light version
.         
.         use "${c -(}usedata{c )-}/chp_el_light_dataset.dta", clear
{txt}
{com}. 
.         ***********************
.         ** Utilization rates **
.         ***********************
.                 
.         * We calculate the pca of the components listed below:
.         
.         * Utilization rates contains:
.                 * `x'_immunization
.                 * `x'_visit_hf
.                 * `x'_hf_otherpract
.                 
.         foreach x in b e {c -(}
{txt}  2{com}.         
.         * Settin up the assets 
.                 
.         #delimit ;
{txt}delimiter now ;
{com}.                 local `x'_urate `x'_immunization 
>         `x'_visit_hf 
>         `x'_hf_otherpract
>         
>         ;
{txt}  3{com}.         #delimit cr
{txt}delimiter now cr
{com}.                                 
.         * Transform variables with long upper tail 
.         
.         foreach var of local `x'_urate {c -(}
{txt}  4{com}.                 gen `var'_sqrt = sqrt(`var') if treatfull != .
{txt}  5{com}.                 {c )-}
{txt}  6{com}.         
.         local `x'_urate_sqrt
{txt}  7{com}.         
.         foreach var of local `x'_urate{c -(}
{txt}  8{com}.                 local `x'_urate_sqrt ``x'_urate_sqrt' `var'_sqrt
{txt}  9{com}.                 {c )-}
{txt} 10{com}.         
.         * Implementing PCA technic
.         
.         * Using correlation matrix by default, so different units are not an issue
.                                                 
.         pca ``x'_urate_sqrt' if treatfull != ., com(1)
{txt} 11{com}.         predict `x'_var
{txt} 12{com}.         egen `x'_urate = std(`x'_var) if treatfull != .
{txt} 13{com}.         drop `x'_var
{txt} 14{com}.         
.         lab var `x'_urate "Asset index at `x'"
{txt} 15{com}.         local remain `remain' `x'_urate
{txt} 16{com}.                                                 
.         * We calculate it there as it only concerns baseline.
.         
.         * We drop useless variable
.         
.         foreach z of local `x'_urate_sqrt{c -(}
{txt} 17{com}.                 drop `z'
{txt} 18{com}.                 {c )-}
{txt} 19{com}.         {c )-}
{txt}(8,999 missing values generated)
(7,677 missing values generated)
(7,677 missing values generated)

Principal components/correlation{col 50}Number of obs    = {res}     6,296
{col 50}{txt}Number of comp.  = {res}         1
{col 50}{txt}Trace            {col 67}=  {res}        3
{col 5}{txt}Rotation: (unrotated = principal){col 50}Rho              = {res}    0.5367

{txt}{col 5}{hline 13}{c TT}{hline 60}
{col 5}   Component {c |}   Eigenvalue   Difference         Proportion   Cumulative
{col 5}{hline 13}{c +}{hline 60}
{col 5}{ralign 12:Comp1} {c |}{res}       1.6101      .609951             0.5367       0.5367
{txt}{col 5}{ralign 12:Comp2} {c |}{res}      1.00015      .610403             0.3334       0.8701
{txt}{col 5}{ralign 12:Comp3} {c |}{res}      .389747            .             0.1299       1.0000
{txt}{col 5}{hline 13}{c BT}{hline 60}

Principal components (eigenvectors) 

{space 4}{hline 13}{c  TT}{hline 10}{c  TT}{hline 13}
{space 4}{space 0}{ralign 12:Variable}{space 1}{c |}{space 1}{ralign 8:Comp1}{space 1}{c |}{space 1}{ralign 11:Unexplained}{space 1}
{space 4}{hline 13}{c   +}{hline 10}{c   +}{hline 13}
{space 4}{space 0}{ralign 12:b_immuniza~t}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.0051}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          1}}}{space 1}
{space 4}{space 0}{ralign 12:b_visit_hf~t}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.7071}}}{space 1}{c |}{space 1}{center 11:{res:{sf:      .1949}}}{space 1}
{space 4}{space 0}{ralign 12:b_hf_othe~rt}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.7071}}}{space 1}{c |}{space 1}{center 11:{res:{sf:       .195}}}{space 1}
{space 4}{hline 13}{c  BT}{hline 10}{c  BT}{hline 13}
(score assumed)

Scoring coefficients 
{col 5}sum of squares(column-loading) = 1

{space 4}{hline 13}{c  TT}{hline 10}
{space 4}{space 0}{ralign 12:Variable}{space 1}{c |}{space 1}{ralign 8:Comp1}{space 1}
{space 4}{hline 13}{c   +}{hline 10}
{space 4}{space 0}{ralign 12:b_immuniza~t}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.0051}}}{space 1}
{space 4}{space 0}{ralign 12:b_visit_hf~t}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.7071}}}{space 1}
{space 4}{space 0}{ralign 12:b_hf_othe~rt}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.7071}}}{space 1}
{space 4}{hline 13}{c  BT}{hline 10}
(8999 missing values generated)
(11,083 missing values generated)
(8,007 missing values generated)
(8,007 missing values generated)

Principal components/correlation{col 50}Number of obs    = {res}     4,212
{col 50}{txt}Number of comp.  = {res}         1
{col 50}{txt}Trace            {col 67}=  {res}        3
{col 5}{txt}Rotation: (unrotated = principal){col 50}Rho              = {res}    0.5513

{txt}{col 5}{hline 13}{c TT}{hline 60}
{col 5}   Component {c |}   Eigenvalue   Difference         Proportion   Cumulative
{col 5}{hline 13}{c +}{hline 60}
{col 5}{ralign 12:Comp1} {c |}{res}      1.65384      .652767             0.5513       0.5513
{txt}{col 5}{ralign 12:Comp2} {c |}{res}      1.00107      .655989             0.3337       0.8850
{txt}{col 5}{ralign 12:Comp3} {c |}{res}      .345085            .             0.1150       1.0000
{txt}{col 5}{hline 13}{c BT}{hline 60}

Principal components (eigenvectors) 

{space 4}{hline 13}{c  TT}{hline 10}{c  TT}{hline 13}
{space 4}{space 0}{ralign 12:Variable}{space 1}{c |}{space 1}{ralign 8:Comp1}{space 1}{c |}{space 1}{ralign 11:Unexplained}{space 1}
{space 4}{hline 13}{c   +}{hline 10}{c   +}{hline 13}
{space 4}{space 0}{ralign 12:e_immuniza~t}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.0404}}}{space 1}{c |}{space 1}{center 11:{res:{sf:      .9973}}}{space 1}
{space 4}{space 0}{ralign 12:e_visit_hf~t}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.7073}}}{space 1}{c |}{space 1}{center 11:{res:{sf:      .1725}}}{space 1}
{space 4}{space 0}{ralign 12:e_hf_othe~rt}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.7057}}}{space 1}{c |}{space 1}{center 11:{res:{sf:      .1763}}}{space 1}
{space 4}{hline 13}{c  BT}{hline 10}{c  BT}{hline 13}
(score assumed)

Scoring coefficients 
{col 5}sum of squares(column-loading) = 1

{space 4}{hline 13}{c  TT}{hline 10}
{space 4}{space 0}{ralign 12:Variable}{space 1}{c |}{space 1}{ralign 8:Comp1}{space 1}
{space 4}{hline 13}{c   +}{hline 10}
{space 4}{space 0}{ralign 12:e_immuniza~t}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.0404}}}{space 1}
{space 4}{space 0}{ralign 12:e_visit_hf~t}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.7073}}}{space 1}
{space 4}{space 0}{ralign 12:e_hf_othe~rt}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.7057}}}{space 1}
{space 4}{hline 13}{c  BT}{hline 10}
(11083 missing values generated)

{com}.         
.         * We calculate the urate pca if for the non-child subsample
.         
.         foreach x in b e {c -(}
{txt}  2{com}.         
.         * Settin up the assets 
.                 
.         #delimit ;
{txt}delimiter now ;
{com}.                 local `x'_urate `x'_visit_hf 
>         `x'_hf_otherpract
>         
>         ;
{txt}  3{com}.         #delimit cr
{txt}delimiter now cr
{com}.                                 
.         * Transform variables with long upper tail 
.         
.         foreach var of local `x'_urate {c -(}
{txt}  4{com}.                 gen `var'_sqrt = sqrt(`var') if treatfull != .
{txt}  5{com}.                 {c )-}
{txt}  6{com}.         
.         local `x'_urate_sqrt
{txt}  7{com}.         
.         foreach var of local `x'_urate{c -(}
{txt}  8{com}.                 local `x'_urate_sqrt ``x'_urate_sqrt' `var'_sqrt
{txt}  9{com}.                 {c )-}
{txt} 10{com}.         
.         * Implementing PCA technic
.         
.         * Using correlation matrix by default, so different units are not an issue
.                                                 
.         pca ``x'_urate_sqrt' if treatfull != ., com(1)
{txt} 11{com}.         predict `x'_var
{txt} 12{com}.         egen `x'_urate_nc = std(`x'_var) if treatfull != .
{txt} 13{com}.         drop `x'_var
{txt} 14{com}.         
.         lab var `x'_urate_nc "Asset index at `x'"
{txt} 15{com}.         local remain `remain' `x'_urate_nc
{txt} 16{com}.                                                 
.         * We calculate it there as it only concerns baseline.
.         
.         * We drop useless variable
.         
.         foreach z of local `x'_urate_sqrt{c -(}
{txt} 17{com}.                 drop `z'
{txt} 18{com}.                 {c )-}
{txt} 19{com}.         {c )-}
{txt}(7,677 missing values generated)
(7,677 missing values generated)

Principal components/correlation{col 50}Number of obs    = {res}     7,618
{col 50}{txt}Number of comp.  = {res}         1
{col 50}{txt}Trace            {col 67}=  {res}        2
{col 5}{txt}Rotation: (unrotated = principal){col 50}Rho              = {res}    0.8185

{txt}{col 5}{hline 13}{c TT}{hline 60}
{col 5}   Component {c |}   Eigenvalue   Difference         Proportion   Cumulative
{col 5}{hline 13}{c +}{hline 60}
{col 5}{ralign 12:Comp1} {c |}{res}      1.63701      1.27402             0.8185       0.8185
{txt}{col 5}{ralign 12:Comp2} {c |}{res}      .362989            .             0.1815       1.0000
{txt}{col 5}{hline 13}{c BT}{hline 60}

Principal components (eigenvectors) 

{space 4}{hline 13}{c  TT}{hline 10}{c  TT}{hline 13}
{space 4}{space 0}{ralign 12:Variable}{space 1}{c |}{space 1}{ralign 8:Comp1}{space 1}{c |}{space 1}{ralign 11:Unexplained}{space 1}
{space 4}{hline 13}{c   +}{hline 10}{c   +}{hline 13}
{space 4}{space 0}{ralign 12:b_visit_hf~t}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.7071}}}{space 1}{c |}{space 1}{center 11:{res:{sf:      .1815}}}{space 1}
{space 4}{space 0}{ralign 12:b_hf_othe~rt}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.7071}}}{space 1}{c |}{space 1}{center 11:{res:{sf:      .1815}}}{space 1}
{space 4}{hline 13}{c  BT}{hline 10}{c  BT}{hline 13}
(score assumed)

Scoring coefficients 
{col 5}sum of squares(column-loading) = 1

{space 4}{hline 13}{c  TT}{hline 10}
{space 4}{space 0}{ralign 12:Variable}{space 1}{c |}{space 1}{ralign 8:Comp1}{space 1}
{space 4}{hline 13}{c   +}{hline 10}
{space 4}{space 0}{ralign 12:b_visit_hf~t}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.7071}}}{space 1}
{space 4}{space 0}{ralign 12:b_hf_othe~rt}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.7071}}}{space 1}
{space 4}{hline 13}{c  BT}{hline 10}
(7677 missing values generated)
(8,007 missing values generated)
(8,007 missing values generated)

Principal components/correlation{col 50}Number of obs    = {res}     7,288
{col 50}{txt}Number of comp.  = {res}         1
{col 50}{txt}Trace            {col 67}=  {res}        2
{col 5}{txt}Rotation: (unrotated = principal){col 50}Rho              = {res}    0.8339

{txt}{col 5}{hline 13}{c TT}{hline 60}
{col 5}   Component {c |}   Eigenvalue   Difference         Proportion   Cumulative
{col 5}{hline 13}{c +}{hline 60}
{col 5}{ralign 12:Comp1} {c |}{res}       1.6678      1.33561             0.8339       0.8339
{txt}{col 5}{ralign 12:Comp2} {c |}{res}      .332196            .             0.1661       1.0000
{txt}{col 5}{hline 13}{c BT}{hline 60}

Principal components (eigenvectors) 

{space 4}{hline 13}{c  TT}{hline 10}{c  TT}{hline 13}
{space 4}{space 0}{ralign 12:Variable}{space 1}{c |}{space 1}{ralign 8:Comp1}{space 1}{c |}{space 1}{ralign 11:Unexplained}{space 1}
{space 4}{hline 13}{c   +}{hline 10}{c   +}{hline 13}
{space 4}{space 0}{ralign 12:e_visit_hf~t}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.7071}}}{space 1}{c |}{space 1}{center 11:{res:{sf:      .1661}}}{space 1}
{space 4}{space 0}{ralign 12:e_hf_othe~rt}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.7071}}}{space 1}{c |}{space 1}{center 11:{res:{sf:      .1661}}}{space 1}
{space 4}{hline 13}{c  BT}{hline 10}{c  BT}{hline 13}
(score assumed)

Scoring coefficients 
{col 5}sum of squares(column-loading) = 1

{space 4}{hline 13}{c  TT}{hline 10}
{space 4}{space 0}{ralign 12:Variable}{space 1}{c |}{space 1}{ralign 8:Comp1}{space 1}
{space 4}{hline 13}{c   +}{hline 10}
{space 4}{space 0}{ralign 12:e_visit_hf~t}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.7071}}}{space 1}
{space 4}{space 0}{ralign 12:e_hf_othe~rt}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.7071}}}{space 1}
{space 4}{hline 13}{c  BT}{hline 10}
(8007 missing values generated)

{com}.         
.         foreach x in b e {c -(}
{txt}  2{com}.                 replace `x'_urate = `x'_urate_nc if `x'_urate == . & treatfull != .
{txt}  3{com}.                 drop `x'_urate_nc
{txt}  4{com}.                 {c )-}
{txt}(1,322 real changes made)
(3,076 real changes made)

{com}.                 
.         * We create the 10% dummy variable
.                 
.         qui mdesc b_urate if treatfull != .
{txt}
{com}.         gen b_urate_d = (b_urate == . & `r(percent)' >= 10 & treatfull != .)
{txt}
{com}.         lab var b_urate_d "1 if the variable is missing at more than 10%"
{txt}
{com}.         local remain `remain' b_urate_d
{txt}
{com}.         
.         ***********************
.         ** Treatment quality **
.         ***********************
.         
.         * We calculate the average of the components listed below:
.         
.         * The index contains:
.                 *`x'_use_equip
.                 *`x'_trained
.                 *`x'_exam_privacy
.                 *`x'_taketest
.                 *`x'_diagnosis_explained
.                 *`x'_percentstaff_sv
.                 *`x'_cleanliness
.                 *`x'_meanstock
.                         
.         foreach x in b e {c -(}
{txt}  2{com}.         
.         * Settin up the assets 
.                 
.         #delimit ;
{txt}delimiter now ;
{com}.                 local `x'_treatqual `x'_use_equip
>         `x'_trained
>         `x'_exam_privacy
>         `x'_taketest
>         `x'_diagnosis_explained
>         `x'_h_percentstaff_sv
>         `x'_h_cleanliness
>         `x'_h_meanstock
>         
>         ;
{txt}  3{com}.         #delimit cr
{txt}delimiter now cr
{com}.                                 
.         * Transform variables with long upper tail 
.         
.         foreach var of local `x'_treatqual {c -(}
{txt}  4{com}.                 gen `var'_sqrt = sqrt(`var') if treatfull != .
{txt}  5{com}.                 {c )-}
{txt}  6{com}.         
.         local `x'_treatqual_sqrt
{txt}  7{com}.         
.         foreach var of local `x'_treatqual{c -(}
{txt}  8{com}.                 local `x'_treatqual_sqrt ``x'_treatqual_sqrt' `var'_sqrt
{txt}  9{com}.                 {c )-}
{txt} 10{com}.         
.         * Implementing PCA technic
.         
.         * Using correlation matrix by default, so different units are not an issue
.                                                 
.         pca ``x'_treatqual_sqrt' if treatfull != . , com(1)
{txt} 11{com}.         predict `x'_var
{txt} 12{com}.         egen `x'_treatqual = std(`x'_var) if treatfull != .
{txt} 13{com}.         drop `x'_var
{txt} 14{com}.         
.         lab var `x'_treatqual "Asset index at `x'"
{txt} 15{com}.         local remain `remain' `x'_treatqual
{txt} 16{com}.                                                 
.         * We calculate it there as it only concerns baseline.
.         
.         * We drop useless variable
.         
.         foreach z of local `x'_treatqual_sqrt{c -(}
{txt} 17{com}.                 drop `z'
{txt} 18{com}.                 {c )-}
{txt} 19{com}.         {c )-}
{txt}(7,677 missing values generated)
(7,677 missing values generated)
(7,677 missing values generated)
(7,677 missing values generated)
(7,677 missing values generated)
(7,677 missing values generated)
(7,677 missing values generated)
(7,677 missing values generated)

Principal components/correlation{col 50}Number of obs    = {res}     7,618
{col 50}{txt}Number of comp.  = {res}         1
{col 50}{txt}Trace            {col 67}=  {res}        8
{col 5}{txt}Rotation: (unrotated = principal){col 50}Rho              = {res}    0.2435

{txt}{col 5}{hline 13}{c TT}{hline 60}
{col 5}   Component {c |}   Eigenvalue   Difference         Proportion   Cumulative
{col 5}{hline 13}{c +}{hline 60}
{col 5}{ralign 12:Comp1} {c |}{res}      1.94768      .623479             0.2435       0.2435
{txt}{col 5}{ralign 12:Comp2} {c |}{res}       1.3242      .314761             0.1655       0.4090
{txt}{col 5}{ralign 12:Comp3} {c |}{res}      1.00944     .0111333             0.1262       0.5352
{txt}{col 5}{ralign 12:Comp4} {c |}{res}      .998303     .0581673             0.1248       0.6600
{txt}{col 5}{ralign 12:Comp5} {c |}{res}      .940135      .142775             0.1175       0.7775
{txt}{col 5}{ralign 12:Comp6} {c |}{res}       .79736      .104679             0.0997       0.8771
{txt}{col 5}{ralign 12:Comp7} {c |}{res}      .692681      .402469             0.0866       0.9637
{txt}{col 5}{ralign 12:Comp8} {c |}{res}      .290212            .             0.0363       1.0000
{txt}{col 5}{hline 13}{c BT}{hline 60}

Principal components (eigenvectors) 

{space 4}{hline 13}{c  TT}{hline 10}{c  TT}{hline 13}
{space 4}{space 0}{ralign 12:Variable}{space 1}{c |}{space 1}{ralign 8:Comp1}{space 1}{c |}{space 1}{ralign 11:Unexplained}{space 1}
{space 4}{hline 13}{c   +}{hline 10}{c   +}{hline 13}
{space 4}{space 0}{ralign 12:b_use_equi~t}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.6225}}}{space 1}{c |}{space 1}{center 11:{res:{sf:      .2452}}}{space 1}
{space 4}{space 0}{ralign 12:b_trained_~t}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.0540}}}{space 1}{c |}{space 1}{center 11:{res:{sf:      .9943}}}{space 1}
{space 4}{space 0}{ralign 12:b_exam_pri~t}{space 1}{c |}{space 1}{ralign 8:{res:{sf: -0.0009}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          1}}}{space 1}
{space 4}{space 0}{ralign 12:b_taketest~t}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.6383}}}{space 1}{c |}{space 1}{center 11:{res:{sf:      .2065}}}{space 1}
{space 4}{space 0}{ralign 12:b_diagnosi~t}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.4320}}}{space 1}{c |}{space 1}{center 11:{res:{sf:      .6366}}}{space 1}
{space 4}{space 0}{ralign 12:b_h_percen~t}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.0417}}}{space 1}{c |}{space 1}{center 11:{res:{sf:      .9966}}}{space 1}
{space 4}{space 0}{ralign 12:b_h_cleanl~t}{space 1}{c |}{space 1}{ralign 8:{res:{sf: -0.0648}}}{space 1}{c |}{space 1}{center 11:{res:{sf:      .9918}}}{space 1}
{space 4}{space 0}{ralign 12:b_h_meanst~t}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.0979}}}{space 1}{c |}{space 1}{center 11:{res:{sf:      .9813}}}{space 1}
{space 4}{hline 13}{c  BT}{hline 10}{c  BT}{hline 13}
(score assumed)

Scoring coefficients 
{col 5}sum of squares(column-loading) = 1

{space 4}{hline 13}{c  TT}{hline 10}
{space 4}{space 0}{ralign 12:Variable}{space 1}{c |}{space 1}{ralign 8:Comp1}{space 1}
{space 4}{hline 13}{c   +}{hline 10}
{space 4}{space 0}{ralign 12:b_use_equi~t}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.6225}}}{space 1}
{space 4}{space 0}{ralign 12:b_trained_~t}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.0540}}}{space 1}
{space 4}{space 0}{ralign 12:b_exam_pri~t}{space 1}{c |}{space 1}{ralign 8:{res:{sf: -0.0009}}}{space 1}
{space 4}{space 0}{ralign 12:b_taketest~t}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.6383}}}{space 1}
{space 4}{space 0}{ralign 12:b_diagnosi~t}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.4320}}}{space 1}
{space 4}{space 0}{ralign 12:b_h_percen~t}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.0417}}}{space 1}
{space 4}{space 0}{ralign 12:b_h_cleanl~t}{space 1}{c |}{space 1}{ralign 8:{res:{sf: -0.0648}}}{space 1}
{space 4}{space 0}{ralign 12:b_h_meanst~t}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.0979}}}{space 1}
{space 4}{hline 13}{c  BT}{hline 10}
(7677 missing values generated)
(8,007 missing values generated)
(8,007 missing values generated)
(8,007 missing values generated)
(8,007 missing values generated)
(8,007 missing values generated)
(8,007 missing values generated)
(8,007 missing values generated)
(8,007 missing values generated)

Principal components/correlation{col 50}Number of obs    = {res}     7,288
{col 50}{txt}Number of comp.  = {res}         1
{col 50}{txt}Trace            {col 67}=  {res}        8
{col 5}{txt}Rotation: (unrotated = principal){col 50}Rho              = {res}    0.2403

{txt}{col 5}{hline 13}{c TT}{hline 60}
{col 5}   Component {c |}   Eigenvalue   Difference         Proportion   Cumulative
{col 5}{hline 13}{c +}{hline 60}
{col 5}{ralign 12:Comp1} {c |}{res}       1.9221      .748983             0.2403       0.2403
{txt}{col 5}{ralign 12:Comp2} {c |}{res}      1.17311     .0431767             0.1466       0.3869
{txt}{col 5}{ralign 12:Comp3} {c |}{res}      1.12994      .107031             0.1412       0.5281
{txt}{col 5}{ralign 12:Comp4} {c |}{res}      1.02291      .049091             0.1279       0.6560
{txt}{col 5}{ralign 12:Comp5} {c |}{res}      .973815      .184909             0.1217       0.7777
{txt}{col 5}{ralign 12:Comp6} {c |}{res}      .788906      .103609             0.0986       0.8763
{txt}{col 5}{ralign 12:Comp7} {c |}{res}      .685297       .38137             0.0857       0.9620
{txt}{col 5}{ralign 12:Comp8} {c |}{res}      .303927            .             0.0380       1.0000
{txt}{col 5}{hline 13}{c BT}{hline 60}

Principal components (eigenvectors) 

{space 4}{hline 13}{c  TT}{hline 10}{c  TT}{hline 13}
{space 4}{space 0}{ralign 12:Variable}{space 1}{c |}{space 1}{ralign 8:Comp1}{space 1}{c |}{space 1}{ralign 11:Unexplained}{space 1}
{space 4}{hline 13}{c   +}{hline 10}{c   +}{hline 13}
{space 4}{space 0}{ralign 12:e_use_equi~t}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.6264}}}{space 1}{c |}{space 1}{center 11:{res:{sf:      .2459}}}{space 1}
{space 4}{space 0}{ralign 12:e_trained_~t}{space 1}{c |}{space 1}{ralign 8:{res:{sf: -0.0187}}}{space 1}{c |}{space 1}{center 11:{res:{sf:      .9993}}}{space 1}
{space 4}{space 0}{ralign 12:e_exam_pri~t}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.0580}}}{space 1}{c |}{space 1}{center 11:{res:{sf:      .9935}}}{space 1}
{space 4}{space 0}{ralign 12:e_taketest~t}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.6338}}}{space 1}{c |}{space 1}{center 11:{res:{sf:      .2279}}}{space 1}
{space 4}{space 0}{ralign 12:e_diagnosi~t}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.4314}}}{space 1}{c |}{space 1}{center 11:{res:{sf:      .6423}}}{space 1}
{space 4}{space 0}{ralign 12:e_h_percen~t}{space 1}{c |}{space 1}{ralign 8:{res:{sf: -0.0841}}}{space 1}{c |}{space 1}{center 11:{res:{sf:      .9864}}}{space 1}
{space 4}{space 0}{ralign 12:e_h_cleanl~t}{space 1}{c |}{space 1}{ralign 8:{res:{sf: -0.0472}}}{space 1}{c |}{space 1}{center 11:{res:{sf:      .9957}}}{space 1}
{space 4}{space 0}{ralign 12:e_h_meanst~t}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.0826}}}{space 1}{c |}{space 1}{center 11:{res:{sf:      .9869}}}{space 1}
{space 4}{hline 13}{c  BT}{hline 10}{c  BT}{hline 13}
(score assumed)

Scoring coefficients 
{col 5}sum of squares(column-loading) = 1

{space 4}{hline 13}{c  TT}{hline 10}
{space 4}{space 0}{ralign 12:Variable}{space 1}{c |}{space 1}{ralign 8:Comp1}{space 1}
{space 4}{hline 13}{c   +}{hline 10}
{space 4}{space 0}{ralign 12:e_use_equi~t}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.6264}}}{space 1}
{space 4}{space 0}{ralign 12:e_trained_~t}{space 1}{c |}{space 1}{ralign 8:{res:{sf: -0.0187}}}{space 1}
{space 4}{space 0}{ralign 12:e_exam_pri~t}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.0580}}}{space 1}
{space 4}{space 0}{ralign 12:e_taketest~t}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.6338}}}{space 1}
{space 4}{space 0}{ralign 12:e_diagnosi~t}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.4314}}}{space 1}
{space 4}{space 0}{ralign 12:e_h_percen~t}{space 1}{c |}{space 1}{ralign 8:{res:{sf: -0.0841}}}{space 1}
{space 4}{space 0}{ralign 12:e_h_cleanl~t}{space 1}{c |}{space 1}{ralign 8:{res:{sf: -0.0472}}}{space 1}
{space 4}{space 0}{ralign 12:e_h_meanst~t}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.0826}}}{space 1}
{space 4}{hline 13}{c  BT}{hline 10}
(8007 missing values generated)

{com}.                 
.         * We create the 10% dummy variable
.                 
.         qui mdesc b_treatqual if treatfull != .
{txt}
{com}.         gen b_treatqual_d = (b_treatqual == . & `r(percent)' >= 10 & treatfull != .)
{txt}
{com}.         lab var b_treatqual_d "1 if the variable is missing at more than 10%"
{txt}
{com}.         local remain `remain' b_treatqual_d
{txt}
{com}.         
.         **************************
.         ** Patient satisfaction **
.         **************************
.         
.         * We calculate the average of the components listed below:
.         
.         * The index contains:
.                 *`x'_qualityhc
.                 *`x'_qualitycare
.                 *`x'_politestaff
.                 *`x'_interest_health
.                 *`x'_stafflistening
.                 *`x'_freeexpress
.                 *`x'_yearb_avail
.                 
.         foreach x in e {c -(}
{txt}  2{com}.         
.         * Settin up the assets 
.                 
.         #delimit ;
{txt}delimiter now ;
{com}.                 local `x'_patsat `x'_qualityhc_d
>         `x'_qualitycare
>         `x'_politestaff
>         `x'_interest_health
>         `x'_stafflistening
>         `x'_freeexpress
>         `x'_yearb_avail
>         
>         ;
{txt}  3{com}.         #delimit cr
{txt}delimiter now cr
{com}.                                 
.         * Transform variables with long upper tail 
.         
.         foreach var of local `x'_patsat {c -(}
{txt}  4{com}.                 gen `var'_sqrt = sqrt(`var') if treatfull != .
{txt}  5{com}.                 {c )-}
{txt}  6{com}.         
.         local `x'_patsat_sqrt
{txt}  7{com}.         
.         foreach var of local `x'_patsat{c -(}
{txt}  8{com}.                 local `x'_patsat_sqrt ``x'_patsat_sqrt' `var'_sqrt
{txt}  9{com}.                 {c )-}
{txt} 10{com}.         
.         * Implementing PCA technic
.         
.         * Using correlation matrix by default, so different units are not an issue
.                                                 
.         pca ``x'_patsat_sqrt' if treatfull != . , com(1)
{txt} 11{com}.         predict `x'_var
{txt} 12{com}.         egen `x'_patsat = std(`x'_var) if treatfull != .
{txt} 13{com}.         drop `x'_var
{txt} 14{com}.         
.         lab var `x'_patsat "Asset index at `x'"
{txt} 15{com}.         local remain `remain' `x'_patsat
{txt} 16{com}.                                                 
.         * We calculate it there as it only concerns baseline.
.         
.         * We drop useless variable
.         
.         foreach z of local `x'_patsat_sqrt{c -(}
{txt} 17{com}.                 drop `z'
{txt} 18{com}.                 {c )-}
{txt} 19{com}.         {c )-}
{txt}(8,007 missing values generated)
(8,007 missing values generated)
(8,007 missing values generated)
(8,007 missing values generated)
(8,007 missing values generated)
(8,007 missing values generated)
(8,007 missing values generated)

Principal components/correlation{col 50}Number of obs    = {res}     7,288
{col 50}{txt}Number of comp.  = {res}         1
{col 50}{txt}Trace            {col 67}=  {res}        7
{col 5}{txt}Rotation: (unrotated = principal){col 50}Rho              = {res}    0.4344

{txt}{col 5}{hline 13}{c TT}{hline 60}
{col 5}   Component {c |}   Eigenvalue   Difference         Proportion   Cumulative
{col 5}{hline 13}{c +}{hline 60}
{col 5}{ralign 12:Comp1} {c |}{res}      3.04072      1.89333             0.4344       0.4344
{txt}{col 5}{ralign 12:Comp2} {c |}{res}      1.14738      .266393             0.1639       0.5983
{txt}{col 5}{ralign 12:Comp3} {c |}{res}      .880992     .0891245             0.1259       0.7242
{txt}{col 5}{ralign 12:Comp4} {c |}{res}      .791867       .28654             0.1131       0.8373
{txt}{col 5}{ralign 12:Comp5} {c |}{res}      .505328      .180933             0.0722       0.9095
{txt}{col 5}{ralign 12:Comp6} {c |}{res}      .324394     .0150752             0.0463       0.9558
{txt}{col 5}{ralign 12:Comp7} {c |}{res}      .309319            .             0.0442       1.0000
{txt}{col 5}{hline 13}{c BT}{hline 60}

Principal components (eigenvectors) 

{space 4}{hline 13}{c  TT}{hline 10}{c  TT}{hline 13}
{space 4}{space 0}{ralign 12:Variable}{space 1}{c |}{space 1}{ralign 8:Comp1}{space 1}{c |}{space 1}{ralign 11:Unexplained}{space 1}
{space 4}{hline 13}{c   +}{hline 10}{c   +}{hline 13}
{space 4}{space 0}{ralign 12:e_qualityh~t}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.1277}}}{space 1}{c |}{space 1}{center 11:{res:{sf:      .9504}}}{space 1}
{space 4}{space 0}{ralign 12:e_qualityc~t}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.2513}}}{space 1}{c |}{space 1}{center 11:{res:{sf:       .808}}}{space 1}
{space 4}{space 0}{ralign 12:e_politest~t}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.4885}}}{space 1}{c |}{space 1}{center 11:{res:{sf:      .2743}}}{space 1}
{space 4}{space 0}{ralign 12:e_interest~t}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.4782}}}{space 1}{c |}{space 1}{center 11:{res:{sf:      .3046}}}{space 1}
{space 4}{space 0}{ralign 12:e_stafflis~t}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.4948}}}{space 1}{c |}{space 1}{center 11:{res:{sf:      .2554}}}{space 1}
{space 4}{space 0}{ralign 12:e_freeexpr~t}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.4432}}}{space 1}{c |}{space 1}{center 11:{res:{sf:      .4028}}}{space 1}
{space 4}{space 0}{ralign 12:e_yearb_av~t}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.1092}}}{space 1}{c |}{space 1}{center 11:{res:{sf:      .9638}}}{space 1}
{space 4}{hline 13}{c  BT}{hline 10}{c  BT}{hline 13}
(score assumed)

Scoring coefficients 
{col 5}sum of squares(column-loading) = 1

{space 4}{hline 13}{c  TT}{hline 10}
{space 4}{space 0}{ralign 12:Variable}{space 1}{c |}{space 1}{ralign 8:Comp1}{space 1}
{space 4}{hline 13}{c   +}{hline 10}
{space 4}{space 0}{ralign 12:e_qualityh~t}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.1277}}}{space 1}
{space 4}{space 0}{ralign 12:e_qualityc~t}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.2513}}}{space 1}
{space 4}{space 0}{ralign 12:e_politest~t}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.4885}}}{space 1}
{space 4}{space 0}{ralign 12:e_interest~t}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.4782}}}{space 1}
{space 4}{space 0}{ralign 12:e_stafflis~t}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.4948}}}{space 1}
{space 4}{space 0}{ralign 12:e_freeexpr~t}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.4432}}}{space 1}
{space 4}{space 0}{ralign 12:e_yearb_av~t}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.1092}}}{space 1}
{space 4}{hline 13}{c  BT}{hline 10}
(8007 missing values generated)

{com}.         
.         foreach x in b {c -(}
{txt}  2{com}.         
.         * Settin up the assets 
.                 
.         #delimit ;
{txt}delimiter now ;
{com}.                 local `x'_patsat `x'_qualitycare
>         `x'_politestaff
>         `x'_interest_health
>         `x'_stafflistening
>         `x'_freeexpress
>         `x'_yearb_avail
>         
>         ;
{txt}  3{com}.         #delimit cr
{txt}delimiter now cr
{com}.                                 
.         * Transform variables with long upper tail 
.         
.         foreach var of local `x'_patsat {c -(}
{txt}  4{com}.                 gen `var'_sqrt = sqrt(`var') if treatfull != .
{txt}  5{com}.                 {c )-}
{txt}  6{com}.         
.         local `x'_patsat_sqrt
{txt}  7{com}.         
.         foreach var of local `x'_patsat{c -(}
{txt}  8{com}.                 local `x'_patsat_sqrt ``x'_patsat_sqrt' `var'_sqrt
{txt}  9{com}.                 {c )-}
{txt} 10{com}.         
.         * Implementing PCA technic
.         
.         * Using correlation matrix by default, so different units are not an issue
.                                                 
.         pca ``x'_patsat_sqrt' if treatfull != . , com(1)
{txt} 11{com}.         predict `x'_var
{txt} 12{com}.         egen `x'_patsat = std(`x'_var) if treatfull != .
{txt} 13{com}.         drop `x'_var
{txt} 14{com}.         
.         lab var `x'_patsat "Asset index at `x'"
{txt} 15{com}.         local remain `remain' `x'_patsat
{txt} 16{com}.                                                 
.         * We calculate it there as it only concerns baseline.
.         
.         * We drop useless variable
.         
.         foreach z of local `x'_patsat_sqrt{c -(}
{txt} 17{com}.                 drop `z'
{txt} 18{com}.                 {c )-}
{txt} 19{com}.         {c )-}
{txt}(7,677 missing values generated)
(7,677 missing values generated)
(7,677 missing values generated)
(7,677 missing values generated)
(7,677 missing values generated)
(7,677 missing values generated)

Principal components/correlation{col 50}Number of obs    = {res}     7,618
{col 50}{txt}Number of comp.  = {res}         1
{col 50}{txt}Trace            {col 67}=  {res}        6
{col 5}{txt}Rotation: (unrotated = principal){col 50}Rho              = {res}    0.4802

{txt}{col 5}{hline 13}{c TT}{hline 60}
{col 5}   Component {c |}   Eigenvalue   Difference         Proportion   Cumulative
{col 5}{hline 13}{c +}{hline 60}
{col 5}{ralign 12:Comp1} {c |}{res}      2.88101      1.86543             0.4802       0.4802
{txt}{col 5}{ralign 12:Comp2} {c |}{res}      1.01558      .221968             0.1693       0.6494
{txt}{col 5}{ralign 12:Comp3} {c |}{res}      .793611       .20576             0.1323       0.7817
{txt}{col 5}{ralign 12:Comp4} {c |}{res}      .587852      .203286             0.0980       0.8797
{txt}{col 5}{ralign 12:Comp5} {c |}{res}      .384566     .0471861             0.0641       0.9438
{txt}{col 5}{ralign 12:Comp6} {c |}{res}       .33738            .             0.0562       1.0000
{txt}{col 5}{hline 13}{c BT}{hline 60}

Principal components (eigenvectors) 

{space 4}{hline 13}{c  TT}{hline 10}{c  TT}{hline 13}
{space 4}{space 0}{ralign 12:Variable}{space 1}{c |}{space 1}{ralign 8:Comp1}{space 1}{c |}{space 1}{ralign 11:Unexplained}{space 1}
{space 4}{hline 13}{c   +}{hline 10}{c   +}{hline 13}
{space 4}{space 0}{ralign 12:b_qualityc~t}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.2959}}}{space 1}{c |}{space 1}{center 11:{res:{sf:      .7477}}}{space 1}
{space 4}{space 0}{ralign 12:b_politest~t}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.4892}}}{space 1}{c |}{space 1}{center 11:{res:{sf:      .3106}}}{space 1}
{space 4}{space 0}{ralign 12:b_interest~t}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.4962}}}{space 1}{c |}{space 1}{center 11:{res:{sf:      .2908}}}{space 1}
{space 4}{space 0}{ralign 12:b_stafflis~t}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.4909}}}{space 1}{c |}{space 1}{center 11:{res:{sf:      .3057}}}{space 1}
{space 4}{space 0}{ralign 12:b_freeexpr~t}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.4208}}}{space 1}{c |}{space 1}{center 11:{res:{sf:      .4898}}}{space 1}
{space 4}{space 0}{ralign 12:b_yearb_av~t}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.0942}}}{space 1}{c |}{space 1}{center 11:{res:{sf:      .9744}}}{space 1}
{space 4}{hline 13}{c  BT}{hline 10}{c  BT}{hline 13}
(score assumed)

Scoring coefficients 
{col 5}sum of squares(column-loading) = 1

{space 4}{hline 13}{c  TT}{hline 10}
{space 4}{space 0}{ralign 12:Variable}{space 1}{c |}{space 1}{ralign 8:Comp1}{space 1}
{space 4}{hline 13}{c   +}{hline 10}
{space 4}{space 0}{ralign 12:b_qualityc~t}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.2959}}}{space 1}
{space 4}{space 0}{ralign 12:b_politest~t}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.4892}}}{space 1}
{space 4}{space 0}{ralign 12:b_interest~t}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.4962}}}{space 1}
{space 4}{space 0}{ralign 12:b_stafflis~t}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.4909}}}{space 1}
{space 4}{space 0}{ralign 12:b_freeexpr~t}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.4208}}}{space 1}
{space 4}{space 0}{ralign 12:b_yearb_av~t}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.0942}}}{space 1}
{space 4}{hline 13}{c  BT}{hline 10}
(7677 missing values generated)

{com}.                 
.         * We create the 10% dummy variable
.                 
.         qui mdesc b_patsat if treatfull != .
{txt}
{com}.         gen b_patsat_d = (b_patsat == . & `r(percent)' >= 10 & treatfull != .)
{txt}
{com}.         lab var b_patsat_d "1 if the variable is missing at more than 10%"
{txt}
{com}.         local remain `remain' b_patsat_d
{txt}
{com}.         
.         **********************************
.         ** Health Outcomes with height  **
.         **********************************
.         
.         * We calculate the average of the components listed below:
.         
.         * The index contains:
.                 *`x'_weight_18m
.                 *`x'_weight_36m
.                 *`x'_muac_18m
.                 *`x'_muac_36m
.                 
.         foreach x in b e {c -(}
{txt}  2{com}.         
.         * Settin up the assets 
.                 
.         #delimit ;
{txt}delimiter now ;
{com}.                 local `x'_healthout `x'_weight_18m
>         `x'_weight_36m
>         `x'_muac_18m
>         `x'_muac_36m
>         
>         ;
{txt}  3{com}.         #delimit cr
{txt}delimiter now cr
{com}.                                 
.         * Transform variables with long upper tail 
.         
.         foreach var of local `x'_healthout {c -(}
{txt}  4{com}.                 gen `var'_sqrt = sqrt(`var') if treatfull != .
{txt}  5{com}.                 {c )-}
{txt}  6{com}.         
.         local `x'_healthout_sqrt
{txt}  7{com}.         
.         foreach var of local `x'_healthout{c -(}
{txt}  8{com}.                 local `x'_healthout_sqrt ``x'_healthout_sqrt' `var'_sqrt
{txt}  9{com}.                 {c )-}
{txt} 10{com}.         
.         * Implementing PCA technic
.         
.         * Using correlation matrix by default, so different units are not an issue
.                                                 
.         pca ``x'_healthout_sqrt' if treatfull != ., com(1)
{txt} 11{com}.         predict `x'_var
{txt} 12{com}.         egen `x'_healthout = std(`x'_var) if treatfull != .
{txt} 13{com}.         drop `x'_var
{txt} 14{com}.         
.         lab var `x'_healthout "Asset index at `x'"
{txt} 15{com}.         local remain `remain' `x'_healthout
{txt} 16{com}.                                                 
.         * We calculate it there as it only concerns baseline.
.         
.         * We drop useless variable
.         
.         foreach z of local `x'_healthout_sqrt{c -(}
{txt} 17{com}.                 drop `z'
{txt} 18{com}.                 {c )-}
{txt} 19{com}.         {c )-}
{txt}(11,209 missing values generated)
(10,525 missing values generated)
(11,209 missing values generated)
(10,525 missing values generated)

Principal components/correlation{col 50}Number of obs    = {res}     2,560
{col 50}{txt}Number of comp.  = {res}         1
{col 50}{txt}Trace            {col 67}=  {res}        4
{col 5}{txt}Rotation: (unrotated = principal){col 50}Rho              = {res}    0.4970

{txt}{col 5}{hline 13}{c TT}{hline 60}
{col 5}   Component {c |}   Eigenvalue   Difference         Proportion   Cumulative
{col 5}{hline 13}{c +}{hline 60}
{col 5}{ralign 12:Comp1} {c |}{res}      1.98797       .23775             0.4970       0.4970
{txt}{col 5}{ralign 12:Comp2} {c |}{res}      1.75022      1.51461             0.4376       0.9345
{txt}{col 5}{ralign 12:Comp3} {c |}{res}      .235608      .209406             0.0589       0.9934
{txt}{col 5}{ralign 12:Comp4} {c |}{res}     .0262021            .             0.0066       1.0000
{txt}{col 5}{hline 13}{c BT}{hline 60}

Principal components (eigenvectors) 

{space 4}{hline 13}{c  TT}{hline 10}{c  TT}{hline 13}
{space 4}{space 0}{ralign 12:Variable}{space 1}{c |}{space 1}{ralign 8:Comp1}{space 1}{c |}{space 1}{ralign 11:Unexplained}{space 1}
{space 4}{hline 13}{c   +}{hline 10}{c   +}{hline 13}
{space 4}{space 0}{ralign 12:b_weight_1~t}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.6853}}}{space 1}{c |}{space 1}{center 11:{res:{sf:     .06636}}}{space 1}
{space 4}{space 0}{ralign 12:b_weight_3~t}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.1761}}}{space 1}{c |}{space 1}{center 11:{res:{sf:      .9384}}}{space 1}
{space 4}{space 0}{ralign 12:b_muac_18m~t}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.6851}}}{space 1}{c |}{space 1}{center 11:{res:{sf:     .06701}}}{space 1}
{space 4}{space 0}{ralign 12:b_muac_36m~t}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.1733}}}{space 1}{c |}{space 1}{center 11:{res:{sf:      .9403}}}{space 1}
{space 4}{hline 13}{c  BT}{hline 10}{c  BT}{hline 13}
(score assumed)

Scoring coefficients 
{col 5}sum of squares(column-loading) = 1

{space 4}{hline 13}{c  TT}{hline 10}
{space 4}{space 0}{ralign 12:Variable}{space 1}{c |}{space 1}{ralign 8:Comp1}{space 1}
{space 4}{hline 13}{c   +}{hline 10}
{space 4}{space 0}{ralign 12:b_weight_1~t}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.6853}}}{space 1}
{space 4}{space 0}{ralign 12:b_weight_3~t}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.1761}}}{space 1}
{space 4}{space 0}{ralign 12:b_muac_18m~t}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.6851}}}{space 1}
{space 4}{space 0}{ralign 12:b_muac_36m~t}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.1733}}}{space 1}
{space 4}{hline 13}{c  BT}{hline 10}
(12735 missing values generated)
(13,212 missing values generated)
(12,611 missing values generated)
(13,212 missing values generated)
(12,611 missing values generated)

Principal components/correlation{col 50}Number of obs    = {res}       555
{col 50}{txt}Number of comp.  = {res}         1
{col 50}{txt}Trace            {col 67}=  {res}        4
{col 5}{txt}Rotation: (unrotated = principal){col 50}Rho              = {res}    0.5860

{txt}{col 5}{hline 13}{c TT}{hline 60}
{col 5}   Component {c |}   Eigenvalue   Difference         Proportion   Cumulative
{col 5}{hline 13}{c +}{hline 60}
{col 5}{ralign 12:Comp1} {c |}{res}      2.34396      .933524             0.5860       0.5860
{txt}{col 5}{ralign 12:Comp2} {c |}{res}      1.41044      1.18102             0.3526       0.9386
{txt}{col 5}{ralign 12:Comp3} {c |}{res}      .229423      .213248             0.0574       0.9960
{txt}{col 5}{ralign 12:Comp4} {c |}{res}     .0161747            .             0.0040       1.0000
{txt}{col 5}{hline 13}{c BT}{hline 60}

Principal components (eigenvectors) 

{space 4}{hline 13}{c  TT}{hline 10}{c  TT}{hline 13}
{space 4}{space 0}{ralign 12:Variable}{space 1}{c |}{space 1}{ralign 8:Comp1}{space 1}{c |}{space 1}{ralign 11:Unexplained}{space 1}
{space 4}{hline 13}{c   +}{hline 10}{c   +}{hline 13}
{space 4}{space 0}{ralign 12:e_weight_1~t}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.5554}}}{space 1}{c |}{space 1}{center 11:{res:{sf:      .2769}}}{space 1}
{space 4}{space 0}{ralign 12:e_weight_3~t}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.4312}}}{space 1}{c |}{space 1}{center 11:{res:{sf:      .5642}}}{space 1}
{space 4}{space 0}{ralign 12:e_muac_18m~t}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.5528}}}{space 1}{c |}{space 1}{center 11:{res:{sf:      .2838}}}{space 1}
{space 4}{space 0}{ralign 12:e_muac_36m~t}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.4472}}}{space 1}{c |}{space 1}{center 11:{res:{sf:      .5311}}}{space 1}
{space 4}{hline 13}{c  BT}{hline 10}{c  BT}{hline 13}
(score assumed)

Scoring coefficients 
{col 5}sum of squares(column-loading) = 1

{space 4}{hline 13}{c  TT}{hline 10}
{space 4}{space 0}{ralign 12:Variable}{space 1}{c |}{space 1}{ralign 8:Comp1}{space 1}
{space 4}{hline 13}{c   +}{hline 10}
{space 4}{space 0}{ralign 12:e_weight_1~t}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.5554}}}{space 1}
{space 4}{space 0}{ralign 12:e_weight_3~t}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.4312}}}{space 1}
{space 4}{space 0}{ralign 12:e_muac_18m~t}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.5528}}}{space 1}
{space 4}{space 0}{ralign 12:e_muac_36m~t}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.4472}}}{space 1}
{space 4}{hline 13}{c  BT}{hline 10}
(14740 missing values generated)

{com}.         
.         foreach x in b e {c -(}
{txt}  2{com}.         
.         * Settin up the assets 
.                 
.         #delimit ;
{txt}delimiter now ;
{com}.                 local `x'_healthout `x'_weight_18m
>         `x'_muac_18m
>         
>         ;
{txt}  3{com}.         #delimit cr
{txt}delimiter now cr
{com}.                                 
.         * Transform variables with long upper tail 
.         
.         foreach var of local `x'_healthout {c -(}
{txt}  4{com}.                 gen `var'_sqrt = sqrt(`var') if treatfull != .
{txt}  5{com}.                 {c )-}
{txt}  6{com}.         
.         local `x'_healthout_sqrt
{txt}  7{com}.         
.         foreach var of local `x'_healthout{c -(}
{txt}  8{com}.                 local `x'_healthout_sqrt ``x'_healthout_sqrt' `var'_sqrt
{txt}  9{com}.                 {c )-}
{txt} 10{com}.         
.         * Implementing PCA technic
.         
.         * Using correlation matrix by default, so different units are not an issue
.                                                 
.         pca ``x'_healthout_sqrt' if treatfull != ., com(1)
{txt} 11{com}.         predict `x'_var
{txt} 12{com}.         egen `x'_healthout18 = std(`x'_var) if treatfull != .
{txt} 13{com}.         drop `x'_var
{txt} 14{com}.         
.         lab var `x'_healthout18 "Asset index at `x'"
{txt} 15{com}.         local remain `remain' `x'_healthout18
{txt} 16{com}.                                                 
.         * We calculate it there as it only concerns baseline.
.         
.         * We drop useless variable
.         
.         foreach z of local `x'_healthout_sqrt{c -(}
{txt} 17{com}.                 drop `z'
{txt} 18{com}.                 {c )-}
{txt} 19{com}.         {c )-}
{txt}(11,209 missing values generated)
(11,209 missing values generated)

Principal components/correlation{col 50}Number of obs    = {res}     4,086
{col 50}{txt}Number of comp.  = {res}         1
{col 50}{txt}Trace            {col 67}=  {res}        2
{col 5}{txt}Rotation: (unrotated = principal){col 50}Rho              = {res}    0.9877

{txt}{col 5}{hline 13}{c TT}{hline 60}
{col 5}   Component {c |}   Eigenvalue   Difference         Proportion   Cumulative
{col 5}{hline 13}{c +}{hline 60}
{col 5}{ralign 12:Comp1} {c |}{res}      1.97537      1.95073             0.9877       0.9877
{txt}{col 5}{ralign 12:Comp2} {c |}{res}     .0246327            .             0.0123       1.0000
{txt}{col 5}{hline 13}{c BT}{hline 60}

Principal components (eigenvectors) 

{space 4}{hline 13}{c  TT}{hline 10}{c  TT}{hline 13}
{space 4}{space 0}{ralign 12:Variable}{space 1}{c |}{space 1}{ralign 8:Comp1}{space 1}{c |}{space 1}{ralign 11:Unexplained}{space 1}
{space 4}{hline 13}{c   +}{hline 10}{c   +}{hline 13}
{space 4}{space 0}{ralign 12:b_weight_1~t}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.7071}}}{space 1}{c |}{space 1}{center 11:{res:{sf:     .01232}}}{space 1}
{space 4}{space 0}{ralign 12:b_muac_18m~t}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.7071}}}{space 1}{c |}{space 1}{center 11:{res:{sf:     .01232}}}{space 1}
{space 4}{hline 13}{c  BT}{hline 10}{c  BT}{hline 13}
(score assumed)

Scoring coefficients 
{col 5}sum of squares(column-loading) = 1

{space 4}{hline 13}{c  TT}{hline 10}
{space 4}{space 0}{ralign 12:Variable}{space 1}{c |}{space 1}{ralign 8:Comp1}{space 1}
{space 4}{hline 13}{c   +}{hline 10}
{space 4}{space 0}{ralign 12:b_weight_1~t}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.7071}}}{space 1}
{space 4}{space 0}{ralign 12:b_muac_18m~t}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.7071}}}{space 1}
{space 4}{hline 13}{c  BT}{hline 10}
(11209 missing values generated)
(13,212 missing values generated)
(13,212 missing values generated)

Principal components/correlation{col 50}Number of obs    = {res}     2,083
{col 50}{txt}Number of comp.  = {res}         1
{col 50}{txt}Trace            {col 67}=  {res}        2
{col 5}{txt}Rotation: (unrotated = principal){col 50}Rho              = {res}    0.9921

{txt}{col 5}{hline 13}{c TT}{hline 60}
{col 5}   Component {c |}   Eigenvalue   Difference         Proportion   Cumulative
{col 5}{hline 13}{c +}{hline 60}
{col 5}{ralign 12:Comp1} {c |}{res}      1.98411      1.96823             0.9921       0.9921
{txt}{col 5}{ralign 12:Comp2} {c |}{res}     .0158859            .             0.0079       1.0000
{txt}{col 5}{hline 13}{c BT}{hline 60}

Principal components (eigenvectors) 

{space 4}{hline 13}{c  TT}{hline 10}{c  TT}{hline 13}
{space 4}{space 0}{ralign 12:Variable}{space 1}{c |}{space 1}{ralign 8:Comp1}{space 1}{c |}{space 1}{ralign 11:Unexplained}{space 1}
{space 4}{hline 13}{c   +}{hline 10}{c   +}{hline 13}
{space 4}{space 0}{ralign 12:e_weight_1~t}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.7071}}}{space 1}{c |}{space 1}{center 11:{res:{sf:    .007943}}}{space 1}
{space 4}{space 0}{ralign 12:e_muac_18m~t}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.7071}}}{space 1}{c |}{space 1}{center 11:{res:{sf:    .007943}}}{space 1}
{space 4}{hline 13}{c  BT}{hline 10}{c  BT}{hline 13}
(score assumed)

Scoring coefficients 
{col 5}sum of squares(column-loading) = 1

{space 4}{hline 13}{c  TT}{hline 10}
{space 4}{space 0}{ralign 12:Variable}{space 1}{c |}{space 1}{ralign 8:Comp1}{space 1}
{space 4}{hline 13}{c   +}{hline 10}
{space 4}{space 0}{ralign 12:e_weight_1~t}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.7071}}}{space 1}
{space 4}{space 0}{ralign 12:e_muac_18m~t}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.7071}}}{space 1}
{space 4}{hline 13}{c  BT}{hline 10}
(13212 missing values generated)

{com}.         
.         foreach x in b e {c -(}
{txt}  2{com}.         
.         * Settin up the assets 
.                 
.         #delimit ;
{txt}delimiter now ;
{com}.                 local `x'_healthout `x'_weight_36m
>         `x'_muac_36m
>         
>         ;
{txt}  3{com}.         #delimit cr
{txt}delimiter now cr
{com}.                                 
.         * Transform variables with long upper tail 
.         
.         foreach var of local `x'_healthout {c -(}
{txt}  4{com}.                 gen `var'_sqrt = sqrt(`var') if treatfull != .
{txt}  5{com}.                 {c )-}
{txt}  6{com}.         
.         local `x'_healthout_sqrt
{txt}  7{com}.         
.         foreach var of local `x'_healthout{c -(}
{txt}  8{com}.                 local `x'_healthout_sqrt ``x'_healthout_sqrt' `var'_sqrt
{txt}  9{com}.                 {c )-}
{txt} 10{com}.         
.         * Implementing PCA technic
.         
.         * Using correlation matrix by default, so different units are not an issue
.                                                 
.         pca ``x'_healthout_sqrt' if treatfull != ., com(1)
{txt} 11{com}.         predict `x'_var
{txt} 12{com}.         egen `x'_healthout36 = std(`x'_var) if treatfull != .
{txt} 13{com}.         drop `x'_var
{txt} 14{com}.         
.         lab var `x'_healthout36 "Asset index at `x'"
{txt} 15{com}.         local remain `remain' `x'_healthout18
{txt} 16{com}.                                                 
.         * We calculate it there as it only concerns baseline.
.         
.         * We drop useless variable
.         
.         foreach z of local `x'_healthout_sqrt{c -(}
{txt} 17{com}.                 drop `z'
{txt} 18{com}.                 {c )-}
{txt} 19{com}.         {c )-}
{txt}(10,525 missing values generated)
(10,525 missing values generated)

Principal components/correlation{col 50}Number of obs    = {res}     4,770
{col 50}{txt}Number of comp.  = {res}         1
{col 50}{txt}Trace            {col 67}=  {res}        2
{col 5}{txt}Rotation: (unrotated = principal){col 50}Rho              = {res}    0.8863

{txt}{col 5}{hline 13}{c TT}{hline 60}
{col 5}   Component {c |}   Eigenvalue   Difference         Proportion   Cumulative
{col 5}{hline 13}{c +}{hline 60}
{col 5}{ralign 12:Comp1} {c |}{res}      1.77269      1.54539             0.8863       0.8863
{txt}{col 5}{ralign 12:Comp2} {c |}{res}      .227307            .             0.1137       1.0000
{txt}{col 5}{hline 13}{c BT}{hline 60}

Principal components (eigenvectors) 

{space 4}{hline 13}{c  TT}{hline 10}{c  TT}{hline 13}
{space 4}{space 0}{ralign 12:Variable}{space 1}{c |}{space 1}{ralign 8:Comp1}{space 1}{c |}{space 1}{ralign 11:Unexplained}{space 1}
{space 4}{hline 13}{c   +}{hline 10}{c   +}{hline 13}
{space 4}{space 0}{ralign 12:b_weight_3~t}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.7071}}}{space 1}{c |}{space 1}{center 11:{res:{sf:      .1137}}}{space 1}
{space 4}{space 0}{ralign 12:b_muac_36m~t}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.7071}}}{space 1}{c |}{space 1}{center 11:{res:{sf:      .1137}}}{space 1}
{space 4}{hline 13}{c  BT}{hline 10}{c  BT}{hline 13}
(score assumed)

Scoring coefficients 
{col 5}sum of squares(column-loading) = 1

{space 4}{hline 13}{c  TT}{hline 10}
{space 4}{space 0}{ralign 12:Variable}{space 1}{c |}{space 1}{ralign 8:Comp1}{space 1}
{space 4}{hline 13}{c   +}{hline 10}
{space 4}{space 0}{ralign 12:b_weight_3~t}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.7071}}}{space 1}
{space 4}{space 0}{ralign 12:b_muac_36m~t}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.7071}}}{space 1}
{space 4}{hline 13}{c  BT}{hline 10}
(10525 missing values generated)
(12,611 missing values generated)
(12,611 missing values generated)

Principal components/correlation{col 50}Number of obs    = {res}     2,684
{col 50}{txt}Number of comp.  = {res}         1
{col 50}{txt}Trace            {col 67}=  {res}        2
{col 5}{txt}Rotation: (unrotated = principal){col 50}Rho              = {res}    0.9028

{txt}{col 5}{hline 13}{c TT}{hline 60}
{col 5}   Component {c |}   Eigenvalue   Difference         Proportion   Cumulative
{col 5}{hline 13}{c +}{hline 60}
{col 5}{ralign 12:Comp1} {c |}{res}      1.80564      1.61129             0.9028       0.9028
{txt}{col 5}{ralign 12:Comp2} {c |}{res}      .194356            .             0.0972       1.0000
{txt}{col 5}{hline 13}{c BT}{hline 60}

Principal components (eigenvectors) 

{space 4}{hline 13}{c  TT}{hline 10}{c  TT}{hline 13}
{space 4}{space 0}{ralign 12:Variable}{space 1}{c |}{space 1}{ralign 8:Comp1}{space 1}{c |}{space 1}{ralign 11:Unexplained}{space 1}
{space 4}{hline 13}{c   +}{hline 10}{c   +}{hline 13}
{space 4}{space 0}{ralign 12:e_weight_3~t}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.7071}}}{space 1}{c |}{space 1}{center 11:{res:{sf:     .09718}}}{space 1}
{space 4}{space 0}{ralign 12:e_muac_36m~t}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.7071}}}{space 1}{c |}{space 1}{center 11:{res:{sf:     .09718}}}{space 1}
{space 4}{hline 13}{c  BT}{hline 10}{c  BT}{hline 13}
(score assumed)

Scoring coefficients 
{col 5}sum of squares(column-loading) = 1

{space 4}{hline 13}{c  TT}{hline 10}
{space 4}{space 0}{ralign 12:Variable}{space 1}{c |}{space 1}{ralign 8:Comp1}{space 1}
{space 4}{hline 13}{c   +}{hline 10}
{space 4}{space 0}{ralign 12:e_weight_3~t}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.7071}}}{space 1}
{space 4}{space 0}{ralign 12:e_muac_36m~t}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.7071}}}{space 1}
{space 4}{hline 13}{c  BT}{hline 10}
(12611 missing values generated)

{com}.         
.         foreach x in b e {c -(}
{txt}  2{com}.                 replace `x'_healthout = `x'_healthout18 if `x'_healthout == . & `x'_healthout18 != .
{txt}  3{com}.                 {c )-}
{txt}(1,526 real changes made)
(1,528 real changes made)

{com}.                 
.         foreach x in b e {c -(}
{txt}  2{com}.                 replace `x'_healthout = `x'_healthout36 if `x'_healthout == . & `x'_healthout36 != .
{txt}  3{com}.                 {c )-}
{txt}(2,210 real changes made)
(2,129 real changes made)

{com}.                 
.         * We create the 10% dummy variable
.                 
.         qui mdesc b_healthout if treatfull != .
{txt}
{com}.         gen b_healthout_d = (b_healthout == . & `r(percent)' >= 10 & treatfull != .)
{txt}
{com}.         lab var b_healthout_d "1 if the variable is missing at more than 10%"
{txt}
{com}.         local remain `remain' b_healthout_d
{txt}
{com}.         
.         **********************
.         ** Child mortality  **
.         **********************
.         
.         * Child mortality is not an indices so no PCA
.         
.         ***********************
.         ** Citizen knowledge **
.         ***********************
.         
.         * We calculate the average of the components listed below:
.         
.         * The index contains:
.                 *`x'_numrights_hh
.                 *`x'_numresp_hh
.                 *`x'_services_hh
.                 
.         * Settin up the assets 
.                 
.         
.         foreach x in e {c -(}
{txt}  2{com}.         
.         #delimit ;
{txt}delimiter now ;
{com}.                 local `x'_ctzknow `x'_numrights_hh
>         `x'_numresp_hh
>         `x'_services_hh
>         
>         ;
{txt}  3{com}.         #delimit cr
{txt}delimiter now cr
{com}.         
.         * Transform variables with long upper tail 
.         
.         foreach var of local `x'_ctzknow {c -(}
{txt}  4{com}.                 gen `var'_sqrt = sqrt(`var') if treatfull != .
{txt}  5{com}.                 {c )-}
{txt}  6{com}.         
.         local `x'_ctzknow_sqrt
{txt}  7{com}.         
.         foreach var of local `x'_ctzknow{c -(}
{txt}  8{com}.                 local `x'_ctzknow_sqrt ``x'_ctzknow_sqrt' `var'_sqrt
{txt}  9{com}.                 {c )-}
{txt} 10{com}.         
.         * Implementing PCA technic
.         
.         * Using correlation matrix by default, so different units are not an issue
.                                                 
.         pca ``x'_ctzknow_sqrt' if treatfull != . , com(1)
{txt} 11{com}.         predict `x'_var
{txt} 12{com}.         egen `x'_ctzknow = std(`x'_var) if treatfull != .
{txt} 13{com}.         drop `x'_var
{txt} 14{com}.         
.         lab var `x'_ctzknow "Asset index at `x'"
{txt} 15{com}.         local remain `remain' `x'_ctzknow
{txt} 16{com}.                                                 
.         * We calculate it there as it only concerns baseline.
.         
.         * We drop useless variable
.         
.         foreach z of local `x'_ctzknow_sqrt{c -(}
{txt} 17{com}.                 drop `z'
{txt} 18{com}.                 {c )-}
{txt} 19{com}.                 
.         {c )-}
{txt}(8,007 missing values generated)
(8,007 missing values generated)
(8,007 missing values generated)

Principal components/correlation{col 50}Number of obs    = {res}     7,288
{col 50}{txt}Number of comp.  = {res}         1
{col 50}{txt}Trace            {col 67}=  {res}        3
{col 5}{txt}Rotation: (unrotated = principal){col 50}Rho              = {res}    0.5309

{txt}{col 5}{hline 13}{c TT}{hline 60}
{col 5}   Component {c |}   Eigenvalue   Difference         Proportion   Cumulative
{col 5}{hline 13}{c +}{hline 60}
{col 5}{ralign 12:Comp1} {c |}{res}      1.59283       .60166             0.5309       0.5309
{txt}{col 5}{ralign 12:Comp2} {c |}{res}      .991167      .575162             0.3304       0.8613
{txt}{col 5}{ralign 12:Comp3} {c |}{res}      .416005            .             0.1387       1.0000
{txt}{col 5}{hline 13}{c BT}{hline 60}

Principal components (eigenvectors) 

{space 4}{hline 13}{c  TT}{hline 10}{c  TT}{hline 13}
{space 4}{space 0}{ralign 12:Variable}{space 1}{c |}{space 1}{ralign 8:Comp1}{space 1}{c |}{space 1}{ralign 11:Unexplained}{space 1}
{space 4}{hline 13}{c   +}{hline 10}{c   +}{hline 13}
{space 4}{space 0}{ralign 12:e_numright~t}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.7028}}}{space 1}{c |}{space 1}{center 11:{res:{sf:      .2132}}}{space 1}
{space 4}{space 0}{ralign 12:e_numresp_~t}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.7004}}}{space 1}{c |}{space 1}{center 11:{res:{sf:      .2186}}}{space 1}
{space 4}{space 0}{ralign 12:e_services~t}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.1243}}}{space 1}{c |}{space 1}{center 11:{res:{sf:      .9754}}}{space 1}
{space 4}{hline 13}{c  BT}{hline 10}{c  BT}{hline 13}
(score assumed)

Scoring coefficients 
{col 5}sum of squares(column-loading) = 1

{space 4}{hline 13}{c  TT}{hline 10}
{space 4}{space 0}{ralign 12:Variable}{space 1}{c |}{space 1}{ralign 8:Comp1}{space 1}
{space 4}{hline 13}{c   +}{hline 10}
{space 4}{space 0}{ralign 12:e_numright~t}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.7028}}}{space 1}
{space 4}{space 0}{ralign 12:e_numresp_~t}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.7004}}}{space 1}
{space 4}{space 0}{ralign 12:e_services~t}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.1243}}}{space 1}
{space 4}{hline 13}{c  BT}{hline 10}
(8007 missing values generated)

{com}.         
.         foreach x in b {c -(}
{txt}  2{com}.         
.         #delimit ;
{txt}delimiter now ;
{com}.                 local `x'_ctzknow `x'_numrights_hh
>         `x'_numresp_hh
>         
>         ;
{txt}  3{com}.         #delimit cr
{txt}delimiter now cr
{com}.         
.         * Transform variables with long upper tail 
.         
.         foreach var of local `x'_ctzknow {c -(}
{txt}  4{com}.                 gen `var'_sqrt = sqrt(`var') if treatfull != .
{txt}  5{com}.                 {c )-}
{txt}  6{com}.         
.         local `x'_ctzknow_sqrt
{txt}  7{com}.         
.         foreach var of local `x'_ctzknow{c -(}
{txt}  8{com}.                 local `x'_ctzknow_sqrt ``x'_ctzknow_sqrt' `var'_sqrt
{txt}  9{com}.                 {c )-}
{txt} 10{com}.         
.         * Implementing PCA technic
.         
.         * Using correlation matrix by default, so different units are not an issue
.                                                 
.         pca ``x'_ctzknow_sqrt' if treatfull != . , com(1)
{txt} 11{com}.         predict `x'_var
{txt} 12{com}.         egen `x'_ctzknow = std(`x'_var) if treatfull != .
{txt} 13{com}.         drop `x'_var
{txt} 14{com}.         
.         lab var `x'_ctzknow "Asset index at `x'"
{txt} 15{com}.         local remain `remain' `x'_ctzknow
{txt} 16{com}.                                                 
.         * We calculate it there as it only concerns baseline.
.         
.         * We drop useless variable
.         
.         foreach z of local `x'_ctzknow_sqrt{c -(}
{txt} 17{com}.                 drop `z'
{txt} 18{com}.                 {c )-}
{txt} 19{com}.                 
.         {c )-}
{txt}(7,677 missing values generated)
(7,677 missing values generated)

Principal components/correlation{col 50}Number of obs    = {res}     7,618
{col 50}{txt}Number of comp.  = {res}         1
{col 50}{txt}Trace            {col 67}=  {res}        2
{col 5}{txt}Rotation: (unrotated = principal){col 50}Rho              = {res}    0.7008

{txt}{col 5}{hline 13}{c TT}{hline 60}
{col 5}   Component {c |}   Eigenvalue   Difference         Proportion   Cumulative
{col 5}{hline 13}{c +}{hline 60}
{col 5}{ralign 12:Comp1} {c |}{res}      1.40166      .803324             0.7008       0.7008
{txt}{col 5}{ralign 12:Comp2} {c |}{res}      .598338            .             0.2992       1.0000
{txt}{col 5}{hline 13}{c BT}{hline 60}

Principal components (eigenvectors) 

{space 4}{hline 13}{c  TT}{hline 10}{c  TT}{hline 13}
{space 4}{space 0}{ralign 12:Variable}{space 1}{c |}{space 1}{ralign 8:Comp1}{space 1}{c |}{space 1}{ralign 11:Unexplained}{space 1}
{space 4}{hline 13}{c   +}{hline 10}{c   +}{hline 13}
{space 4}{space 0}{ralign 12:b_numright~t}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.7071}}}{space 1}{c |}{space 1}{center 11:{res:{sf:      .2992}}}{space 1}
{space 4}{space 0}{ralign 12:b_numresp_~t}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.7071}}}{space 1}{c |}{space 1}{center 11:{res:{sf:      .2992}}}{space 1}
{space 4}{hline 13}{c  BT}{hline 10}{c  BT}{hline 13}
(score assumed)

Scoring coefficients 
{col 5}sum of squares(column-loading) = 1

{space 4}{hline 13}{c  TT}{hline 10}
{space 4}{space 0}{ralign 12:Variable}{space 1}{c |}{space 1}{ralign 8:Comp1}{space 1}
{space 4}{hline 13}{c   +}{hline 10}
{space 4}{space 0}{ralign 12:b_numright~t}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.7071}}}{space 1}
{space 4}{space 0}{ralign 12:b_numresp_~t}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.7071}}}{space 1}
{space 4}{hline 13}{c  BT}{hline 10}
(7677 missing values generated)

{com}.         
.         * We create the 10% dummy variable
.                 
.         qui mdesc b_ctzknow if treatfull != .
{txt}
{com}.         gen b_ctzknow_d = (b_ctzknow == . & `r(percent)' >= 10 & treatfull != .)
{txt}
{com}.         lab var b_ctzknow_d "1 if the variable is missing at more than 10%"
{txt}
{com}.         local remain `remain' b_ctzknow_d
{txt}
{com}.         
.         ************************************
.         ** Health care provider knowledge **
.         ************************************
.         
.         * We calculate the average of the components listed below:
.         
.         * The index contains:
.                 *`x'_numrights
.                 *`x'_numresp
.                 
.         * Settin up the assets 
.         
.         foreach x in b e {c -(}
{txt}  2{com}.         
.         #delimit ;
{txt}delimiter now ;
{com}.                 local `x'_hcpknow `x'_h_numrights
>         `x'_h_numresp
>         
>         ;
{txt}  3{com}.         #delimit cr
{txt}delimiter now cr
{com}.         
.         * Transform variables with long upper tail 
.         
.         foreach var of local `x'_hcpknow {c -(}
{txt}  4{com}.                 gen `var'_sqrt = sqrt(`var') if uniquehc == 1 & treatfull != .
{txt}  5{com}.                 {c )-}
{txt}  6{com}.         
.         local `x'_hcpknow_sqrt
{txt}  7{com}.         
.         foreach var of local `x'_hcpknow{c -(}
{txt}  8{com}.                 local `x'_hcpknow_sqrt ``x'_hcpknow_sqrt' `var'_sqrt
{txt}  9{com}.                 {c )-}
{txt} 10{com}.         
.         * Implementing PCA technic
.         
.         * Using correlation matrix by default, so different units are not an issue
.                                                 
.         pca ``x'_hcpknow_sqrt' if uniquehc == 1 & treatfull != . , com(1)
{txt} 11{com}.         predict `x'_var
{txt} 12{com}.         egen `x'_hcpknow = std(`x'_var) if uniquehc == 1 & treatfull != .
{txt} 13{com}.         drop `x'_var
{txt} 14{com}.         
.         lab var `x'_hcpknow "Asset index at `x'"
{txt} 15{com}.         local remain `remain' `x'_hcpknow
{txt} 16{com}.                                                 
.         * We calculate it there as it only concerns baseline.
.         
.         * We drop useless variable
.         
.         foreach z of local `x'_hcpknow_sqrt{c -(}
{txt} 17{com}.                 drop `z'
{txt} 18{com}.                 {c )-}
{txt} 19{com}.         {c )-}
{txt}(15,108 missing values generated)
(15,108 missing values generated)

Principal components/correlation{col 50}Number of obs    = {res}       187
{col 50}{txt}Number of comp.  = {res}         1
{col 50}{txt}Trace            {col 67}=  {res}        2
{col 5}{txt}Rotation: (unrotated = principal){col 50}Rho              = {res}    0.6901

{txt}{col 5}{hline 13}{c TT}{hline 60}
{col 5}   Component {c |}   Eigenvalue   Difference         Proportion   Cumulative
{col 5}{hline 13}{c +}{hline 60}
{col 5}{ralign 12:Comp1} {c |}{res}      1.38014      .760275             0.6901       0.6901
{txt}{col 5}{ralign 12:Comp2} {c |}{res}      .619863            .             0.3099       1.0000
{txt}{col 5}{hline 13}{c BT}{hline 60}

Principal components (eigenvectors) 

{space 4}{hline 13}{c  TT}{hline 10}{c  TT}{hline 13}
{space 4}{space 0}{ralign 12:Variable}{space 1}{c |}{space 1}{ralign 8:Comp1}{space 1}{c |}{space 1}{ralign 11:Unexplained}{space 1}
{space 4}{hline 13}{c   +}{hline 10}{c   +}{hline 13}
{space 4}{space 0}{ralign 12:b_h_numrig~t}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.7071}}}{space 1}{c |}{space 1}{center 11:{res:{sf:      .3099}}}{space 1}
{space 4}{space 0}{ralign 12:b_h_numres~t}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.7071}}}{space 1}{c |}{space 1}{center 11:{res:{sf:      .3099}}}{space 1}
{space 4}{hline 13}{c  BT}{hline 10}{c  BT}{hline 13}
(score assumed)

Scoring coefficients 
{col 5}sum of squares(column-loading) = 1

{space 4}{hline 13}{c  TT}{hline 10}
{space 4}{space 0}{ralign 12:Variable}{space 1}{c |}{space 1}{ralign 8:Comp1}{space 1}
{space 4}{hline 13}{c   +}{hline 10}
{space 4}{space 0}{ralign 12:b_h_numrig~t}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.7071}}}{space 1}
{space 4}{space 0}{ralign 12:b_h_numres~t}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.7071}}}{space 1}
{space 4}{hline 13}{c  BT}{hline 10}
(15108 missing values generated)
(15,108 missing values generated)
(15,108 missing values generated)

Principal components/correlation{col 50}Number of obs    = {res}       187
{col 50}{txt}Number of comp.  = {res}         1
{col 50}{txt}Trace            {col 67}=  {res}        2
{col 5}{txt}Rotation: (unrotated = principal){col 50}Rho              = {res}    0.6751

{txt}{col 5}{hline 13}{c TT}{hline 60}
{col 5}   Component {c |}   Eigenvalue   Difference         Proportion   Cumulative
{col 5}{hline 13}{c +}{hline 60}
{col 5}{ralign 12:Comp1} {c |}{res}      1.35025      .700505             0.6751       0.6751
{txt}{col 5}{ralign 12:Comp2} {c |}{res}      .649747            .             0.3249       1.0000
{txt}{col 5}{hline 13}{c BT}{hline 60}

Principal components (eigenvectors) 

{space 4}{hline 13}{c  TT}{hline 10}{c  TT}{hline 13}
{space 4}{space 0}{ralign 12:Variable}{space 1}{c |}{space 1}{ralign 8:Comp1}{space 1}{c |}{space 1}{ralign 11:Unexplained}{space 1}
{space 4}{hline 13}{c   +}{hline 10}{c   +}{hline 13}
{space 4}{space 0}{ralign 12:e_h_numrig~t}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.7071}}}{space 1}{c |}{space 1}{center 11:{res:{sf:      .3249}}}{space 1}
{space 4}{space 0}{ralign 12:e_h_numres~t}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.7071}}}{space 1}{c |}{space 1}{center 11:{res:{sf:      .3249}}}{space 1}
{space 4}{hline 13}{c  BT}{hline 10}{c  BT}{hline 13}
(score assumed)

Scoring coefficients 
{col 5}sum of squares(column-loading) = 1

{space 4}{hline 13}{c  TT}{hline 10}
{space 4}{space 0}{ralign 12:Variable}{space 1}{c |}{space 1}{ralign 8:Comp1}{space 1}
{space 4}{hline 13}{c   +}{hline 10}
{space 4}{space 0}{ralign 12:e_h_numrig~t}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.7071}}}{space 1}
{space 4}{space 0}{ralign 12:e_h_numres~t}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.7071}}}{space 1}
{space 4}{hline 13}{c  BT}{hline 10}
(15108 missing values generated)

{com}.                 
.         * We create the 10% dummy variable
.                 
.         qui mdesc b_hcpknow if uniquehc == 1 & treatfull != .
{txt}
{com}.         gen b_hcpknow_d = (b_hcpknow == . & `r(percent)' >= 10 & uniquehc == 1 & treatfull != .)
{txt}
{com}.         lab var b_hcpknow_d "1 if the variable is missing at more than 10%"
{txt}
{com}.         local remain `remain' b_hcpknow_d
{txt}
{com}.         
.         **********************
.         ** Citizen pressure **
.         **********************
.         
.         * We calculate the average of the components listed below:
.         
.         * The index contains:
.                 *`x'_wrong_z
.                 *`x'_pressure_z
.                 *`x'_hw_report_z
.                 
.         * Settin up the assets 
.         
.         foreach x in e {c -(}
{txt}  2{com}.         
.         #delimit ;
{txt}delimiter now ;
{com}.                 local `x'_h_ctzpressure `x'_h_wrong `x'_h_pressure `x'_h_hw_report
> 
>         ;
{txt}  3{com}.         #delimit cr
{txt}delimiter now cr
{com}.         
.         * Transform variables with long upper tail 
.         
.         foreach var of local `x'_h_ctzpressure {c -(}
{txt}  4{com}.                 gen `var'_sqrt = sqrt(`var') if uniquehc == 1 & treatfull != .
{txt}  5{com}.                 {c )-}
{txt}  6{com}.                 
.         
.         local `x'_h_ctzpressure_sqrt
{txt}  7{com}.         
.         foreach var of local `x'_h_ctzpressure {c -(}
{txt}  8{com}.                 local `x'_h_ctzpressure_sqrt ``x'_h_ctzpressure_sqrt' `var'_sqrt
{txt}  9{com}.                 {c )-}
{txt} 10{com}.         
.         * Implementing PCA technic
.         
.         * Using correlation matrix by default, so different units are not an issue
.                                                 
.         pca ``x'_h_ctzpressure_sqrt' if uniquehc == 1 & treatfull != . , com(1)
{txt} 11{com}.         predict `x'_var
{txt} 12{com}.         egen `x'_h_ctzpressure = std(`x'_var) if uniquehc == 1 & treatfull != .
{txt} 13{com}.         drop `x'_var
{txt} 14{com}.         
.         lab var `x'_h_ctzpressure "Asset index at `x'"
{txt} 15{com}.         local remain `remain' `x'_h_ctzpressure
{txt} 16{com}.                                                 
.         * We calculate it there as it only concerns baseline.
.         
.         * We drop useless variable
.         
.         foreach z of local `x'_h_ctzpressure_sqrt{c -(}
{txt} 17{com}.                 drop `z'
{txt} 18{com}.                 {c )-}
{txt} 19{com}.         {c )-}
{txt}(15,108 missing values generated)
(15,108 missing values generated)
(15,108 missing values generated)

Principal components/correlation{col 50}Number of obs    = {res}       187
{col 50}{txt}Number of comp.  = {res}         1
{col 50}{txt}Trace            {col 67}=  {res}        3
{col 5}{txt}Rotation: (unrotated = principal){col 50}Rho              = {res}    0.4566

{txt}{col 5}{hline 13}{c TT}{hline 60}
{col 5}   Component {c |}   Eigenvalue   Difference         Proportion   Cumulative
{col 5}{hline 13}{c +}{hline 60}
{col 5}{ralign 12:Comp1} {c |}{res}      1.36992       .36355             0.4566       0.4566
{txt}{col 5}{ralign 12:Comp2} {c |}{res}      1.00637       .38266             0.3355       0.7921
{txt}{col 5}{ralign 12:Comp3} {c |}{res}       .62371            .             0.2079       1.0000
{txt}{col 5}{hline 13}{c BT}{hline 60}

Principal components (eigenvectors) 

{space 4}{hline 13}{c  TT}{hline 10}{c  TT}{hline 13}
{space 4}{space 0}{ralign 12:Variable}{space 1}{c |}{space 1}{ralign 8:Comp1}{space 1}{c |}{space 1}{ralign 11:Unexplained}{space 1}
{space 4}{hline 13}{c   +}{hline 10}{c   +}{hline 13}
{space 4}{space 0}{ralign 12:e_h_wrong_~t}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.7090}}}{space 1}{c |}{space 1}{center 11:{res:{sf:      .3114}}}{space 1}
{space 4}{space 0}{ralign 12:e_h_pressu~t}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.7023}}}{space 1}{c |}{space 1}{center 11:{res:{sf:      .3243}}}{space 1}
{space 4}{space 0}{ralign 12:e_h_hw_r~qrt}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.0641}}}{space 1}{c |}{space 1}{center 11:{res:{sf:      .9944}}}{space 1}
{space 4}{hline 13}{c  BT}{hline 10}{c  BT}{hline 13}
(score assumed)

Scoring coefficients 
{col 5}sum of squares(column-loading) = 1

{space 4}{hline 13}{c  TT}{hline 10}
{space 4}{space 0}{ralign 12:Variable}{space 1}{c |}{space 1}{ralign 8:Comp1}{space 1}
{space 4}{hline 13}{c   +}{hline 10}
{space 4}{space 0}{ralign 12:e_h_wrong_~t}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.7090}}}{space 1}
{space 4}{space 0}{ralign 12:e_h_pressu~t}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.7023}}}{space 1}
{space 4}{space 0}{ralign 12:e_h_hw_r~qrt}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.0641}}}{space 1}
{space 4}{hline 13}{c  BT}{hline 10}
(15108 missing values generated)

{com}. 
.         * Settin up the assets 
.         
.         foreach x in b {c -(}
{txt}  2{com}.         
.         #delimit ;
{txt}delimiter now ;
{com}.                 local `x'_h_ctzpressure `x'_h_wrong `x'_h_pressure
> 
>         ;
{txt}  3{com}.         #delimit cr
{txt}delimiter now cr
{com}.         
.         * Transform variables with long upper tail 
.         
.         foreach var of local `x'_h_ctzpressure {c -(}
{txt}  4{com}.                 gen `var'_sqrt = sqrt(`var') if uniquehc == 1 & treatfull != .
{txt}  5{com}.                 {c )-}
{txt}  6{com}.         
.         local `x'_h_ctzpressure_sqrt
{txt}  7{com}.         
.         foreach var of local `x'_h_ctzpressure {c -(}
{txt}  8{com}.                 local `x'_h_ctzpressure_sqrt ``x'_h_ctzpressure_sqrt' `var'_sqrt
{txt}  9{com}.                 {c )-}
{txt} 10{com}.         
.         * Implementing PCA technic
.         
.         * Using correlation matrix by default, so different units are not an issue
.                                                 
.         pca ``x'_h_ctzpressure_sqrt' if uniquehc == 1 & treatfull != . , com(1)
{txt} 11{com}.         predict `x'_var
{txt} 12{com}.         egen `x'_h_ctzpressure = std(`x'_var) if uniquehc == 1 & treatfull != .
{txt} 13{com}.         drop `x'_var
{txt} 14{com}.         
.         lab var `x'_h_ctzpressure "Asset index at `x'"
{txt} 15{com}.         local remain `remain' `x'_h_ctzpressure
{txt} 16{com}.                                                 
.         * We calculate it there as it only concerns baseline.
.         
.         * We drop useless variable
.         
.         foreach z of local `x'_h_ctzpressure_sqrt{c -(}
{txt} 17{com}.                 drop `z'
{txt} 18{com}.                 {c )-}
{txt} 19{com}.         {c )-}
{txt}(15,108 missing values generated)
(15,108 missing values generated)

Principal components/correlation{col 50}Number of obs    = {res}       187
{col 50}{txt}Number of comp.  = {res}         1
{col 50}{txt}Trace            {col 67}=  {res}        2
{col 5}{txt}Rotation: (unrotated = principal){col 50}Rho              = {res}    0.6258

{txt}{col 5}{hline 13}{c TT}{hline 60}
{col 5}   Component {c |}   Eigenvalue   Difference         Proportion   Cumulative
{col 5}{hline 13}{c +}{hline 60}
{col 5}{ralign 12:Comp1} {c |}{res}      1.25154      .503088             0.6258       0.6258
{txt}{col 5}{ralign 12:Comp2} {c |}{res}      .748456            .             0.3742       1.0000
{txt}{col 5}{hline 13}{c BT}{hline 60}

Principal components (eigenvectors) 

{space 4}{hline 13}{c  TT}{hline 10}{c  TT}{hline 13}
{space 4}{space 0}{ralign 12:Variable}{space 1}{c |}{space 1}{ralign 8:Comp1}{space 1}{c |}{space 1}{ralign 11:Unexplained}{space 1}
{space 4}{hline 13}{c   +}{hline 10}{c   +}{hline 13}
{space 4}{space 0}{ralign 12:b_h_wrong_~t}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.7071}}}{space 1}{c |}{space 1}{center 11:{res:{sf:      .3742}}}{space 1}
{space 4}{space 0}{ralign 12:b_h_pressu~t}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.7071}}}{space 1}{c |}{space 1}{center 11:{res:{sf:      .3742}}}{space 1}
{space 4}{hline 13}{c  BT}{hline 10}{c  BT}{hline 13}
(score assumed)

Scoring coefficients 
{col 5}sum of squares(column-loading) = 1

{space 4}{hline 13}{c  TT}{hline 10}
{space 4}{space 0}{ralign 12:Variable}{space 1}{c |}{space 1}{ralign 8:Comp1}{space 1}
{space 4}{hline 13}{c   +}{hline 10}
{space 4}{space 0}{ralign 12:b_h_wrong_~t}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.7071}}}{space 1}
{space 4}{space 0}{ralign 12:b_h_pressu~t}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.7071}}}{space 1}
{space 4}{hline 13}{c  BT}{hline 10}
(15108 missing values generated)

{com}.                 
.         * We create the 10% dummy variable
.                 
.         qui mdesc b_h_ctzpressure if uniquehc == 1 & treatfull != .
{txt}
{com}.         gen b_h_ctzpressure_d = (b_h_ctzpressure == . & `r(percent)' >= 10 & uniquehc == 1 & treatfull != .)
{txt}
{com}.         lab var b_h_ctzpressure_d "1 if the variable is missing at more than 10%"
{txt}
{com}.         local remain `remain' b_h_ctzpressure_d
{txt}
{com}.         
.         ********************
.         ** Efficacy index **
.         ********************
.         
.         * We calculate the average of the components listed below:
.         
.         * The index contains:
.                 *`x'_power
.                 *`x'_pressure_effort
.                 *`x'_pressure_report
.                 *`x'_influence
.                 *`x'_peoplesay_gov
.                 *`x'_peoplesay_hc
.                 
.         * Settin up the assets 
.         
.         foreach x in e {c -(}
{txt}  2{com}.         
.         #delimit ;
{txt}delimiter now ;
{com}.                 local `x'_eff `x'_power
>         `x'_pressure_effort
>         `x'_pressure_report
>         `x'_influence
>         `x'_peoplesay_gov
>         `x'_peoplesay_hc
>         
>         ;
{txt}  3{com}.         #delimit cr
{txt}delimiter now cr
{com}.         
.         * Transform variables with long upper tail 
.         
.         foreach var of local `x'_eff {c -(}
{txt}  4{com}.                 gen `var'_sqrt = sqrt(`var') if treatfull != .
{txt}  5{com}.                 {c )-}
{txt}  6{com}.         
.         local `x'_eff_sqrt
{txt}  7{com}.         
.         foreach var of local `x'_eff{c -(}
{txt}  8{com}.                 local `x'_eff_sqrt ``x'_eff_sqrt' `var'_sqrt
{txt}  9{com}.                 {c )-}
{txt} 10{com}.         
.         * Implementing PCA technic
.         
.         * Using correlation matrix by default, so different units are not an issue
.                                                 
.         pca ``x'_eff_sqrt' if treatfull != ., com(1)
{txt} 11{com}.         predict `x'_var
{txt} 12{com}.         egen `x'_eff = std(`x'_var) if treatfull != .
{txt} 13{com}.         drop `x'_var
{txt} 14{com}.         
.         lab var `x'_eff "Asset index at `x'"
{txt} 15{com}.         local remain `remain' `x'_eff
{txt} 16{com}.                                                 
.         * We calculate it there as it only concerns baseline.
.         
.         * We drop useless variable
.         
.         foreach z of local `x'_eff_sqrt{c -(}
{txt} 17{com}.                 drop `z'
{txt} 18{com}.                 {c )-}
{txt} 19{com}.                 
.         {c )-}
{txt}(8,007 missing values generated)
(8,007 missing values generated)
(8,007 missing values generated)
(8,007 missing values generated)
(8,007 missing values generated)
(8,007 missing values generated)

Principal components/correlation{col 50}Number of obs    = {res}     7,288
{col 50}{txt}Number of comp.  = {res}         1
{col 50}{txt}Trace            {col 67}=  {res}        6
{col 5}{txt}Rotation: (unrotated = principal){col 50}Rho              = {res}    0.3993

{txt}{col 5}{hline 13}{c TT}{hline 60}
{col 5}   Component {c |}   Eigenvalue   Difference         Proportion   Cumulative
{col 5}{hline 13}{c +}{hline 60}
{col 5}{ralign 12:Comp1} {c |}{res}      2.39562      .974766             0.3993       0.3993
{txt}{col 5}{ralign 12:Comp2} {c |}{res}      1.42086      .300741             0.2368       0.6361
{txt}{col 5}{ralign 12:Comp3} {c |}{res}      1.12012      .600231             0.1867       0.8228
{txt}{col 5}{ralign 12:Comp4} {c |}{res}      .519886      .193831             0.0866       0.9094
{txt}{col 5}{ralign 12:Comp5} {c |}{res}      .326055      .108593             0.0543       0.9638
{txt}{col 5}{ralign 12:Comp6} {c |}{res}      .217461            .             0.0362       1.0000
{txt}{col 5}{hline 13}{c BT}{hline 60}

Principal components (eigenvectors) 

{space 4}{hline 13}{c  TT}{hline 10}{c  TT}{hline 13}
{space 4}{space 0}{ralign 12:Variable}{space 1}{c |}{space 1}{ralign 8:Comp1}{space 1}{c |}{space 1}{ralign 11:Unexplained}{space 1}
{space 4}{hline 13}{c   +}{hline 10}{c   +}{hline 13}
{space 4}{space 0}{ralign 12:e_power_sqrt}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3701}}}{space 1}{c |}{space 1}{center 11:{res:{sf:      .6718}}}{space 1}
{space 4}{space 0}{ralign 12:e_~fort_sqrt}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3666}}}{space 1}{c |}{space 1}{center 11:{res:{sf:      .6781}}}{space 1}
{space 4}{space 0}{ralign 12:e_~port_sqrt}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3725}}}{space 1}{c |}{space 1}{center 11:{res:{sf:      .6675}}}{space 1}
{space 4}{space 0}{ralign 12:e_influenc~t}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3768}}}{space 1}{c |}{space 1}{center 11:{res:{sf:        .66}}}{space 1}
{space 4}{space 0}{ralign 12:e_peo~v_sqrt}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.4711}}}{space 1}{c |}{space 1}{center 11:{res:{sf:      .4684}}}{space 1}
{space 4}{space 0}{ralign 12:e_peo~c_sqrt}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.4754}}}{space 1}{c |}{space 1}{center 11:{res:{sf:      .4586}}}{space 1}
{space 4}{hline 13}{c  BT}{hline 10}{c  BT}{hline 13}
(score assumed)

Scoring coefficients 
{col 5}sum of squares(column-loading) = 1

{space 4}{hline 13}{c  TT}{hline 10}
{space 4}{space 0}{ralign 12:Variable}{space 1}{c |}{space 1}{ralign 8:Comp1}{space 1}
{space 4}{hline 13}{c   +}{hline 10}
{space 4}{space 0}{ralign 12:e_power_sqrt}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3701}}}{space 1}
{space 4}{space 0}{ralign 12:e_~fort_sqrt}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3666}}}{space 1}
{space 4}{space 0}{ralign 12:e_~port_sqrt}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3725}}}{space 1}
{space 4}{space 0}{ralign 12:e_influenc~t}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3768}}}{space 1}
{space 4}{space 0}{ralign 12:e_peo~v_sqrt}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.4711}}}{space 1}
{space 4}{space 0}{ralign 12:e_peo~c_sqrt}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.4754}}}{space 1}
{space 4}{hline 13}{c  BT}{hline 10}
(8007 missing values generated)

{com}.         
.         foreach x in b {c -(}
{txt}  2{com}.         
.         #delimit ;
{txt}delimiter now ;
{com}.                 local `x'_eff `x'_power
>         `x'_influence
>         `x'_peoplesay_gov
>         `x'_peoplesay_hc
>         
>         ;
{txt}  3{com}.         #delimit cr
{txt}delimiter now cr
{com}.         
.         * Transform variables with long upper tail 
.         
.         foreach var of local `x'_eff {c -(}
{txt}  4{com}.                 gen `var'_sqrt = sqrt(`var') if treatfull != .
{txt}  5{com}.                 {c )-}
{txt}  6{com}.         
.         local `x'_eff_sqrt
{txt}  7{com}.         
.         foreach var of local `x'_eff{c -(}
{txt}  8{com}.                 local `x'_eff_sqrt ``x'_eff_sqrt' `var'_sqrt
{txt}  9{com}.                 {c )-}
{txt} 10{com}.         
.         * Implementing PCA technic
.         
.         * Using correlation matrix by default, so different units are not an issue
.                                                 
.         pca ``x'_eff_sqrt' if treatfull != ., com(1)
{txt} 11{com}.         predict `x'_var
{txt} 12{com}.         egen `x'_eff = std(`x'_var) if treatfull != .
{txt} 13{com}.         drop `x'_var
{txt} 14{com}.         
.         lab var `x'_eff "Asset index at `x'"
{txt} 15{com}.         local remain `remain' `x'_eff
{txt} 16{com}.                                                 
.         * We calculate it there as it only concerns baseline.
.         
.         * We drop useless variable
.         
.         foreach z of local `x'_eff_sqrt{c -(}
{txt} 17{com}.                 drop `z'
{txt} 18{com}.                 {c )-}
{txt} 19{com}.                 
.         {c )-}
{txt}(7,677 missing values generated)
(7,677 missing values generated)
(7,677 missing values generated)
(7,677 missing values generated)

Principal components/correlation{col 50}Number of obs    = {res}     7,618
{col 50}{txt}Number of comp.  = {res}         1
{col 50}{txt}Trace            {col 67}=  {res}        4
{col 5}{txt}Rotation: (unrotated = principal){col 50}Rho              = {res}    0.5028

{txt}{col 5}{hline 13}{c TT}{hline 60}
{col 5}   Component {c |}   Eigenvalue   Difference         Proportion   Cumulative
{col 5}{hline 13}{c +}{hline 60}
{col 5}{ralign 12:Comp1} {c |}{res}      2.01124      .756601             0.5028       0.5028
{txt}{col 5}{ralign 12:Comp2} {c |}{res}      1.25464      .727877             0.3137       0.8165
{txt}{col 5}{ralign 12:Comp3} {c |}{res}      .526763      .319409             0.1317       0.9482
{txt}{col 5}{ralign 12:Comp4} {c |}{res}      .207355            .             0.0518       1.0000
{txt}{col 5}{hline 13}{c BT}{hline 60}

Principal components (eigenvectors) 

{space 4}{hline 13}{c  TT}{hline 10}{c  TT}{hline 13}
{space 4}{space 0}{ralign 12:Variable}{space 1}{c |}{space 1}{ralign 8:Comp1}{space 1}{c |}{space 1}{ralign 11:Unexplained}{space 1}
{space 4}{hline 13}{c   +}{hline 10}{c   +}{hline 13}
{space 4}{space 0}{ralign 12:b_power_sqrt}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3842}}}{space 1}{c |}{space 1}{center 11:{res:{sf:      .7031}}}{space 1}
{space 4}{space 0}{ralign 12:b_influenc~t}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3760}}}{space 1}{c |}{space 1}{center 11:{res:{sf:      .7157}}}{space 1}
{space 4}{space 0}{ralign 12:b_peo~v_sqrt}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.5980}}}{space 1}{c |}{space 1}{center 11:{res:{sf:      .2807}}}{space 1}
{space 4}{space 0}{ralign 12:b_peo~c_sqrt}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.5945}}}{space 1}{c |}{space 1}{center 11:{res:{sf:      .2893}}}{space 1}
{space 4}{hline 13}{c  BT}{hline 10}{c  BT}{hline 13}
(score assumed)

Scoring coefficients 
{col 5}sum of squares(column-loading) = 1

{space 4}{hline 13}{c  TT}{hline 10}
{space 4}{space 0}{ralign 12:Variable}{space 1}{c |}{space 1}{ralign 8:Comp1}{space 1}
{space 4}{hline 13}{c   +}{hline 10}
{space 4}{space 0}{ralign 12:b_power_sqrt}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3842}}}{space 1}
{space 4}{space 0}{ralign 12:b_influenc~t}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3760}}}{space 1}
{space 4}{space 0}{ralign 12:b_peo~v_sqrt}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.5980}}}{space 1}
{space 4}{space 0}{ralign 12:b_peo~c_sqrt}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.5945}}}{space 1}
{space 4}{hline 13}{c  BT}{hline 10}
(7677 missing values generated)

{com}.         
.         * We create the 10% dummy variable
.                 
.         qui mdesc b_eff if treatfull != .
{txt}
{com}.         gen b_eff_d = (b_eff == . & `r(percent)' >= 10 & treatfull != .)
{txt}
{com}.         lab var b_eff_d "1 if the variable is missing at more than 10%"
{txt}
{com}.         local remain `remain' b_eff_d
{txt}
{com}.         
.         ******************************
.         ** Community responsability **
.         ******************************
.         
.         * We calculate the average of the components listed below:
.         
.         * The index contains:
.                 *`x'_responsible
.                 *`x'_commembers_resp
.                 
.                 
.         foreach x in b e {c -(}
{txt}  2{com}.         
.         #delimit ;
{txt}delimiter now ;
{com}.                 local `x'_commresp `x'_responsible
>         `x'_commembers_resp
>         
>         ;
{txt}  3{com}.         #delimit cr
{txt}delimiter now cr
{com}.         
.         * Transform variables with long upper tail 
.         
.         foreach var of local `x'_commresp {c -(}
{txt}  4{com}.                 gen `var'_sqrt = sqrt(`var') if treatfull != .
{txt}  5{com}.                 {c )-}
{txt}  6{com}.         
.         local `x'_commresp_sqrt
{txt}  7{com}.         
.         foreach var of local `x'_commresp{c -(}
{txt}  8{com}.                 local `x'_commresp_sqrt ``x'_commresp_sqrt' `var'_sqrt
{txt}  9{com}.                 {c )-}
{txt} 10{com}.         
.         * Implementing PCA technic
.         
.         * Using correlation matrix by default, so different units are not an issue
.                                                 
.         pca ``x'_commresp_sqrt' if treatfull != ., com(1)
{txt} 11{com}.         predict `x'_var
{txt} 12{com}.         egen `x'_commresp = std(`x'_var) if treatfull != .
{txt} 13{com}.         drop `x'_var
{txt} 14{com}.         
.         lab var `x'_commresp "Asset index at `x'"
{txt} 15{com}.         local remain `remain' `x'_commresp
{txt} 16{com}.                                                 
.         * We calculate it there as it only concerns baseline.
.         
.         * We drop useless variable
.         
.         foreach z of local `x'_commresp_sqrt{c -(}
{txt} 17{com}.                 drop `z'
{txt} 18{com}.                 {c )-}
{txt} 19{com}.                 
.         {c )-}
{txt}(7,677 missing values generated)
(7,677 missing values generated)

Principal components/correlation{col 50}Number of obs    = {res}     7,618
{col 50}{txt}Number of comp.  = {res}         1
{col 50}{txt}Trace            {col 67}=  {res}        2
{col 5}{txt}Rotation: (unrotated = principal){col 50}Rho              = {res}    0.5413

{txt}{col 5}{hline 13}{c TT}{hline 60}
{col 5}   Component {c |}   Eigenvalue   Difference         Proportion   Cumulative
{col 5}{hline 13}{c +}{hline 60}
{col 5}{ralign 12:Comp1} {c |}{res}      1.08267      .165347             0.5413       0.5413
{txt}{col 5}{ralign 12:Comp2} {c |}{res}      .917327            .             0.4587       1.0000
{txt}{col 5}{hline 13}{c BT}{hline 60}

Principal components (eigenvectors) 

{space 4}{hline 13}{c  TT}{hline 10}{c  TT}{hline 13}
{space 4}{space 0}{ralign 12:Variable}{space 1}{c |}{space 1}{ralign 8:Comp1}{space 1}{c |}{space 1}{ralign 11:Unexplained}{space 1}
{space 4}{hline 13}{c   +}{hline 10}{c   +}{hline 13}
{space 4}{space 0}{ralign 12:b_responsi~t}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.7071}}}{space 1}{c |}{space 1}{center 11:{res:{sf:      .4587}}}{space 1}
{space 4}{space 0}{ralign 12:b_commembe~t}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.7071}}}{space 1}{c |}{space 1}{center 11:{res:{sf:      .4587}}}{space 1}
{space 4}{hline 13}{c  BT}{hline 10}{c  BT}{hline 13}
(score assumed)

Scoring coefficients 
{col 5}sum of squares(column-loading) = 1

{space 4}{hline 13}{c  TT}{hline 10}
{space 4}{space 0}{ralign 12:Variable}{space 1}{c |}{space 1}{ralign 8:Comp1}{space 1}
{space 4}{hline 13}{c   +}{hline 10}
{space 4}{space 0}{ralign 12:b_responsi~t}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.7071}}}{space 1}
{space 4}{space 0}{ralign 12:b_commembe~t}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.7071}}}{space 1}
{space 4}{hline 13}{c  BT}{hline 10}
(7677 missing values generated)
(8,007 missing values generated)
(8,007 missing values generated)

Principal components/correlation{col 50}Number of obs    = {res}     7,288
{col 50}{txt}Number of comp.  = {res}         1
{col 50}{txt}Trace            {col 67}=  {res}        2
{col 5}{txt}Rotation: (unrotated = principal){col 50}Rho              = {res}    0.5632

{txt}{col 5}{hline 13}{c TT}{hline 60}
{col 5}   Component {c |}   Eigenvalue   Difference         Proportion   Cumulative
{col 5}{hline 13}{c +}{hline 60}
{col 5}{ralign 12:Comp1} {c |}{res}      1.12633      .252655             0.5632       0.5632
{txt}{col 5}{ralign 12:Comp2} {c |}{res}      .873673            .             0.4368       1.0000
{txt}{col 5}{hline 13}{c BT}{hline 60}

Principal components (eigenvectors) 

{space 4}{hline 13}{c  TT}{hline 10}{c  TT}{hline 13}
{space 4}{space 0}{ralign 12:Variable}{space 1}{c |}{space 1}{ralign 8:Comp1}{space 1}{c |}{space 1}{ralign 11:Unexplained}{space 1}
{space 4}{hline 13}{c   +}{hline 10}{c   +}{hline 13}
{space 4}{space 0}{ralign 12:e_responsi~t}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.7071}}}{space 1}{c |}{space 1}{center 11:{res:{sf:      .4368}}}{space 1}
{space 4}{space 0}{ralign 12:e_commembe~t}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.7071}}}{space 1}{c |}{space 1}{center 11:{res:{sf:      .4368}}}{space 1}
{space 4}{hline 13}{c  BT}{hline 10}{c  BT}{hline 13}
(score assumed)

Scoring coefficients 
{col 5}sum of squares(column-loading) = 1

{space 4}{hline 13}{c  TT}{hline 10}
{space 4}{space 0}{ralign 12:Variable}{space 1}{c |}{space 1}{ralign 8:Comp1}{space 1}
{space 4}{hline 13}{c   +}{hline 10}
{space 4}{space 0}{ralign 12:e_responsi~t}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.7071}}}{space 1}
{space 4}{space 0}{ralign 12:e_commembe~t}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.7071}}}{space 1}
{space 4}{hline 13}{c  BT}{hline 10}
(8007 missing values generated)

{com}.         
.         * We create the 10% dummy variable
.                 
.         qui mdesc b_commresp if treatfull != .
{txt}
{com}.         gen b_commresp_d = (b_commresp == . & `r(percent)' >= 10 & treatfull != .)
{txt}
{com}.         lab var b_commresp_d "1 if the variable is missing at more than 10%"
{txt}
{com}.         local remain `remain' b_commresp_d
{txt}
{com}.         
.         **************************
.         ** Community monitoring **
.         **************************
.         
.         * We calculate the average of the components listed below:
.         
.         * The index contains:
.                 *`x'_lc1_meetings
.                 *`x'_lc1_meetings_hc 
.                 *`x'_find_report
.                 *`x'_find_effort
.                 
.         foreach x in e {c -(}
{txt}  2{com}.         
.         #delimit ;
{txt}delimiter now ;
{com}.                 local `x'_commtg `x'_lc1_meetings
>         `x'_lc1_meetings_hc 
>         `x'_find_report
>         `x'_find_effort
>         
>         ;
{txt}  3{com}.         #delimit cr
{txt}delimiter now cr
{com}.         
.         * Transform variables with long upper tail 
.         
.         foreach var of local `x'_commtg {c -(}
{txt}  4{com}.                 gen `var'_sqrt = sqrt(`var') if treatfull != .
{txt}  5{com}.                 {c )-}
{txt}  6{com}.         
.         local `x'_commtg_sqrt
{txt}  7{com}.         
.         foreach var of local `x'_commtg{c -(}
{txt}  8{com}.                 local `x'_commtg_sqrt ``x'_commtg_sqrt' `var'_sqrt
{txt}  9{com}.                 {c )-}
{txt} 10{com}.         
.         * Implementing PCA technic
.         
.         * Using correlation matrix by default, so different units are not an issue
.                                                 
.         pca ``x'_commtg_sqrt' if treatfull != ., com(1)
{txt} 11{com}.         predict `x'_var
{txt} 12{com}.         egen `x'_commtg = std(`x'_var) if treatfull != .
{txt} 13{com}.         drop `x'_var
{txt} 14{com}.         
.         lab var `x'_commtg "Asset index at `x'"
{txt} 15{com}.         local remain `remain' `x'_commtg
{txt} 16{com}.                                                 
.         * We calculate it there as it only concerns baseline.
.         
.         * We drop useless variable
.         
.         foreach z of local `x'_commtg_sqrt{c -(}
{txt} 17{com}.                 drop `z'
{txt} 18{com}.                 {c )-}
{txt} 19{com}.                 
.         {c )-}
{txt}(8,007 missing values generated)
(8,007 missing values generated)
(8,007 missing values generated)
(8,007 missing values generated)

Principal components/correlation{col 50}Number of obs    = {res}     7,288
{col 50}{txt}Number of comp.  = {res}         1
{col 50}{txt}Trace            {col 67}=  {res}        4
{col 5}{txt}Rotation: (unrotated = principal){col 50}Rho              = {res}    0.3778

{txt}{col 5}{hline 13}{c TT}{hline 60}
{col 5}   Component {c |}   Eigenvalue   Difference         Proportion   Cumulative
{col 5}{hline 13}{c +}{hline 60}
{col 5}{ralign 12:Comp1} {c |}{res}      1.51137      .430626             0.3778       0.3778
{txt}{col 5}{ralign 12:Comp2} {c |}{res}      1.08074      .169995             0.2702       0.6480
{txt}{col 5}{ralign 12:Comp3} {c |}{res}      .910749       .41361             0.2277       0.8757
{txt}{col 5}{ralign 12:Comp4} {c |}{res}      .497139            .             0.1243       1.0000
{txt}{col 5}{hline 13}{c BT}{hline 60}

Principal components (eigenvectors) 

{space 4}{hline 13}{c  TT}{hline 10}{c  TT}{hline 13}
{space 4}{space 0}{ralign 12:Variable}{space 1}{c |}{space 1}{ralign 8:Comp1}{space 1}{c |}{space 1}{ralign 11:Unexplained}{space 1}
{space 4}{hline 13}{c   +}{hline 10}{c   +}{hline 13}
{space 4}{space 0}{ralign 12:e_lc1~s_sqrt}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.0683}}}{space 1}{c |}{space 1}{center 11:{res:{sf:       .993}}}{space 1}
{space 4}{space 0}{ralign 12:e_lc1~c_sqrt}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.1132}}}{space 1}{c |}{space 1}{center 11:{res:{sf:      .9806}}}{space 1}
{space 4}{space 0}{ralign 12:e_find_r~qrt}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.7018}}}{space 1}{c |}{space 1}{center 11:{res:{sf:      .2557}}}{space 1}
{space 4}{space 0}{ralign 12:e_find_e~qrt}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.7000}}}{space 1}{c |}{space 1}{center 11:{res:{sf:      .2594}}}{space 1}
{space 4}{hline 13}{c  BT}{hline 10}{c  BT}{hline 13}
(score assumed)

Scoring coefficients 
{col 5}sum of squares(column-loading) = 1

{space 4}{hline 13}{c  TT}{hline 10}
{space 4}{space 0}{ralign 12:Variable}{space 1}{c |}{space 1}{ralign 8:Comp1}{space 1}
{space 4}{hline 13}{c   +}{hline 10}
{space 4}{space 0}{ralign 12:e_lc1~s_sqrt}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.0683}}}{space 1}
{space 4}{space 0}{ralign 12:e_lc1~c_sqrt}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.1132}}}{space 1}
{space 4}{space 0}{ralign 12:e_find_r~qrt}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.7018}}}{space 1}
{space 4}{space 0}{ralign 12:e_find_e~qrt}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.7000}}}{space 1}
{space 4}{hline 13}{c  BT}{hline 10}
(8007 missing values generated)

{com}.         
.         foreach x in b {c -(}
{txt}  2{com}.         
.         #delimit ;
{txt}delimiter now ;
{com}.                 local `x'_commtg `x'_lc1_meetings
>         `x'_lc1_meetings_hc 
>         ;
{txt}  3{com}.         #delimit cr
{txt}delimiter now cr
{com}.         
.         * Transform variables with long upper tail 
.         
.         foreach var of local `x'_commtg {c -(}
{txt}  4{com}.                 gen `var'_sqrt = sqrt(`var') if treatfull != .
{txt}  5{com}.                 {c )-}
{txt}  6{com}.         
.         local `x'_commtg_sqrt
{txt}  7{com}.         
.         foreach var of local `x'_commtg{c -(}
{txt}  8{com}.                 local `x'_commtg_sqrt ``x'_commtg_sqrt' `var'_sqrt
{txt}  9{com}.                 {c )-}
{txt} 10{com}.         
.         * Implementing PCA technic
.         
.         * Using correlation matrix by default, so different units are not an issue
.                                                 
.         pca ``x'_commtg_sqrt' if treatfull != ., com(1)
{txt} 11{com}.         predict `x'_var
{txt} 12{com}.         egen `x'_commtg = std(`x'_var) if treatfull != .
{txt} 13{com}.         drop `x'_var
{txt} 14{com}.         
.         lab var `x'_commtg "Asset index at `x'"
{txt} 15{com}.         local remain `remain' `x'_commtg
{txt} 16{com}.                                                 
.         * We calculate it there as it only concerns baseline.
.         
.         * We drop useless variable
.         
.         foreach z of local `x'_commtg_sqrt{c -(}
{txt} 17{com}.                 drop `z'
{txt} 18{com}.                 {c )-}
{txt} 19{com}.                 
.         {c )-}
{txt}(7,677 missing values generated)
(7,677 missing values generated)

Principal components/correlation{col 50}Number of obs    = {res}     7,618
{col 50}{txt}Number of comp.  = {res}         1
{col 50}{txt}Trace            {col 67}=  {res}        2
{col 5}{txt}Rotation: (unrotated = principal){col 50}Rho              = {res}    0.5349

{txt}{col 5}{hline 13}{c TT}{hline 60}
{col 5}   Component {c |}   Eigenvalue   Difference         Proportion   Cumulative
{col 5}{hline 13}{c +}{hline 60}
{col 5}{ralign 12:Comp1} {c |}{res}       1.0699      .139795             0.5349       0.5349
{txt}{col 5}{ralign 12:Comp2} {c |}{res}      .930103            .             0.4651       1.0000
{txt}{col 5}{hline 13}{c BT}{hline 60}

Principal components (eigenvectors) 

{space 4}{hline 13}{c  TT}{hline 10}{c  TT}{hline 13}
{space 4}{space 0}{ralign 12:Variable}{space 1}{c |}{space 1}{ralign 8:Comp1}{space 1}{c |}{space 1}{ralign 11:Unexplained}{space 1}
{space 4}{hline 13}{c   +}{hline 10}{c   +}{hline 13}
{space 4}{space 0}{ralign 12:b_lc1~s_sqrt}{space 1}{c |}{space 1}{ralign 8:{res:{sf: -0.7071}}}{space 1}{c |}{space 1}{center 11:{res:{sf:      .4651}}}{space 1}
{space 4}{space 0}{ralign 12:b_lc1~c_sqrt}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.7071}}}{space 1}{c |}{space 1}{center 11:{res:{sf:      .4651}}}{space 1}
{space 4}{hline 13}{c  BT}{hline 10}{c  BT}{hline 13}
(score assumed)

Scoring coefficients 
{col 5}sum of squares(column-loading) = 1

{space 4}{hline 13}{c  TT}{hline 10}
{space 4}{space 0}{ralign 12:Variable}{space 1}{c |}{space 1}{ralign 8:Comp1}{space 1}
{space 4}{hline 13}{c   +}{hline 10}
{space 4}{space 0}{ralign 12:b_lc1~s_sqrt}{space 1}{c |}{space 1}{ralign 8:{res:{sf: -0.7071}}}{space 1}
{space 4}{space 0}{ralign 12:b_lc1~c_sqrt}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.7071}}}{space 1}
{space 4}{hline 13}{c  BT}{hline 10}
(7677 missing values generated)

{com}.         
.         * We create the 10% dummy variable
.                 
.         qui mdesc b_commtg if treatfull != .
{txt}
{com}.         gen b_commtg_d = (b_commtg == . & `r(percent)' >= 10 & treatfull != .)
{txt}
{com}.         lab var b_commtg_d "1 if the variable is missing at more than 10%"
{txt}
{com}.         local remain `remain' b_commtg_d
{txt}
{com}.         
.         ******************************************************
.         ** Relationship between Health Center and Community **
.         ******************************************************
.         
.         * We calculate the average of the components listed below:
.         
.         * The index contains:
.                 *`x'_sat_rel 
.                 *`x'_trust_hw 
.                 *`x'_satisfiedrel 
.                 *`x'_complain
.         
.         foreach x in b e {c -(}
{txt}  2{com}.         
.         #delimit ;
{txt}delimiter now ;
{com}.                 local `x'_relhhhc `x'_sat_rel 
>         `x'_trust_hw 
>         `x'_h_satisfiedrel 
>         `x'_complain
>         
>         ;
{txt}  3{com}.         #delimit cr
{txt}delimiter now cr
{com}.         
.         * Transform variables with long upper tail 
.         
.         foreach var of local `x'_relhhhc {c -(}
{txt}  4{com}.                 gen `var'_sqrt = sqrt(`var') if treatfull != .
{txt}  5{com}.                 {c )-}
{txt}  6{com}.         
.         local `x'_relhhhc_sqrt
{txt}  7{com}.         
.         foreach var of local `x'_relhhhc{c -(}
{txt}  8{com}.                 local `x'_relhhhc_sqrt ``x'_relhhhc_sqrt' `var'_sqrt
{txt}  9{com}.                 {c )-}
{txt} 10{com}.         
.         * Implementing PCA technic
.         
.         * Using correlation matrix by default, so different units are not an issue
.                                                 
.         pca ``x'_relhhhc_sqrt' if treatfull != ., com(1)
{txt} 11{com}.         predict `x'_var
{txt} 12{com}.         egen `x'_relhhhc = std(`x'_var) if treatfull != .
{txt} 13{com}.         drop `x'_var
{txt} 14{com}.         
.         lab var `x'_relhhhc "Asset index at `x'"
{txt} 15{com}.         local remain `remain' `x'_relhhhc
{txt} 16{com}.                                                 
.         * We calculate it there as it only concerns baseline.
.         
.         * We drop useless variable
.         
.         foreach z of local `x'_relhhhc_sqrt{c -(}
{txt} 17{com}.                 drop `z'
{txt} 18{com}.                 {c )-}
{txt} 19{com}.                 
.         {c )-}
{txt}(7,677 missing values generated)
(7,677 missing values generated)
(7,677 missing values generated)
(7,677 missing values generated)

Principal components/correlation{col 50}Number of obs    = {res}     7,618
{col 50}{txt}Number of comp.  = {res}         1
{col 50}{txt}Trace            {col 67}=  {res}        4
{col 5}{txt}Rotation: (unrotated = principal){col 50}Rho              = {res}    0.3707

{txt}{col 5}{hline 13}{c TT}{hline 60}
{col 5}   Component {c |}   Eigenvalue   Difference         Proportion   Cumulative
{col 5}{hline 13}{c +}{hline 60}
{col 5}{ralign 12:Comp1} {c |}{res}      1.48265      .480379             0.3707       0.3707
{txt}{col 5}{ralign 12:Comp2} {c |}{res}      1.00227     .0079795             0.2506       0.6212
{txt}{col 5}{ralign 12:Comp3} {c |}{res}       .99429      .473496             0.2486       0.8698
{txt}{col 5}{ralign 12:Comp4} {c |}{res}      .520793            .             0.1302       1.0000
{txt}{col 5}{hline 13}{c BT}{hline 60}

Principal components (eigenvectors) 

{space 4}{hline 13}{c  TT}{hline 10}{c  TT}{hline 13}
{space 4}{space 0}{ralign 12:Variable}{space 1}{c |}{space 1}{ralign 8:Comp1}{space 1}{c |}{space 1}{ralign 11:Unexplained}{space 1}
{space 4}{hline 13}{c   +}{hline 10}{c   +}{hline 13}
{space 4}{space 0}{ralign 12:b_sat_rel_~t}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.7050}}}{space 1}{c |}{space 1}{center 11:{res:{sf:       .263}}}{space 1}
{space 4}{space 0}{ralign 12:b_trust_hw~t}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.7038}}}{space 1}{c |}{space 1}{center 11:{res:{sf:      .2655}}}{space 1}
{space 4}{space 0}{ralign 12:b_h_satisf~t}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.0024}}}{space 1}{c |}{space 1}{center 11:{res:{sf:          1}}}{space 1}
{space 4}{space 0}{ralign 12:b_complain~t}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.0868}}}{space 1}{c |}{space 1}{center 11:{res:{sf:      .9888}}}{space 1}
{space 4}{hline 13}{c  BT}{hline 10}{c  BT}{hline 13}
(score assumed)

Scoring coefficients 
{col 5}sum of squares(column-loading) = 1

{space 4}{hline 13}{c  TT}{hline 10}
{space 4}{space 0}{ralign 12:Variable}{space 1}{c |}{space 1}{ralign 8:Comp1}{space 1}
{space 4}{hline 13}{c   +}{hline 10}
{space 4}{space 0}{ralign 12:b_sat_rel_~t}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.7050}}}{space 1}
{space 4}{space 0}{ralign 12:b_trust_hw~t}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.7038}}}{space 1}
{space 4}{space 0}{ralign 12:b_h_satisf~t}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.0024}}}{space 1}
{space 4}{space 0}{ralign 12:b_complain~t}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.0868}}}{space 1}
{space 4}{hline 13}{c  BT}{hline 10}
(7677 missing values generated)
(8,007 missing values generated)
(8,007 missing values generated)
(8,007 missing values generated)
(8,007 missing values generated)

Principal components/correlation{col 50}Number of obs    = {res}     7,288
{col 50}{txt}Number of comp.  = {res}         1
{col 50}{txt}Trace            {col 67}=  {res}        4
{col 5}{txt}Rotation: (unrotated = principal){col 50}Rho              = {res}    0.3602

{txt}{col 5}{hline 13}{c TT}{hline 60}
{col 5}   Component {c |}   Eigenvalue   Difference         Proportion   Cumulative
{col 5}{hline 13}{c +}{hline 60}
{col 5}{ralign 12:Comp1} {c |}{res}      1.44075      .418148             0.3602       0.3602
{txt}{col 5}{ralign 12:Comp2} {c |}{res}       1.0226     .0479476             0.2557       0.6158
{txt}{col 5}{ralign 12:Comp3} {c |}{res}      .974657      .412671             0.2437       0.8595
{txt}{col 5}{ralign 12:Comp4} {c |}{res}      .561986            .             0.1405       1.0000
{txt}{col 5}{hline 13}{c BT}{hline 60}

Principal components (eigenvectors) 

{space 4}{hline 13}{c  TT}{hline 10}{c  TT}{hline 13}
{space 4}{space 0}{ralign 12:Variable}{space 1}{c |}{space 1}{ralign 8:Comp1}{space 1}{c |}{space 1}{ralign 11:Unexplained}{space 1}
{space 4}{hline 13}{c   +}{hline 10}{c   +}{hline 13}
{space 4}{space 0}{ralign 12:e_sat_rel_~t}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.7050}}}{space 1}{c |}{space 1}{center 11:{res:{sf:      .2839}}}{space 1}
{space 4}{space 0}{ralign 12:e_trust_hw~t}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.7042}}}{space 1}{c |}{space 1}{center 11:{res:{sf:      .2856}}}{space 1}
{space 4}{space 0}{ralign 12:e_h_satisf~t}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.0186}}}{space 1}{c |}{space 1}{center 11:{res:{sf:      .9995}}}{space 1}
{space 4}{space 0}{ralign 12:e_complain~t}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.0824}}}{space 1}{c |}{space 1}{center 11:{res:{sf:      .9902}}}{space 1}
{space 4}{hline 13}{c  BT}{hline 10}{c  BT}{hline 13}
(score assumed)

Scoring coefficients 
{col 5}sum of squares(column-loading) = 1

{space 4}{hline 13}{c  TT}{hline 10}
{space 4}{space 0}{ralign 12:Variable}{space 1}{c |}{space 1}{ralign 8:Comp1}{space 1}
{space 4}{hline 13}{c   +}{hline 10}
{space 4}{space 0}{ralign 12:e_sat_rel_~t}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.7050}}}{space 1}
{space 4}{space 0}{ralign 12:e_trust_hw~t}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.7042}}}{space 1}
{space 4}{space 0}{ralign 12:e_h_satisf~t}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.0186}}}{space 1}
{space 4}{space 0}{ralign 12:e_complain~t}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.0824}}}{space 1}
{space 4}{hline 13}{c  BT}{hline 10}
(8007 missing values generated)

{com}.         
.         * We create the 10% dummy variable
.                 
.         qui mdesc b_relhhhc if treatfull != .
{txt}
{com}.         gen b_relhhhc_d = (b_relhhhc == . & `r(percent)' >= 10 & treatfull != .)
{txt}
{com}.         lab var b_relhhhc_d "1 if the variable is missing at more than 10%"
{txt}
{com}.         local remain `remain' b_relhhhc_d
{txt}
{com}.         
.         ********************************
.         ** Health Center Transparency **
.         ********************************
.         
.         * We calculate the average of the components listed below:
.         
.         * The index contains:
.                 *`x'_opening_posters
.                 *`x'_dutyroster
.                 *`x'_sugbox
.                 *`x'_infoservice
.                 *`x'_infoprights
.         
.         foreach x in b e {c -(}
{txt}  2{com}.         
.         #delimit ;
{txt}delimiter now ;
{com}.                 local `x'_hctrans `x'_h_opening_posters
>         `x'_h_dutyroster
>         `x'_h_sugbox
>         `x'_h_infoservice
>         `x'_h_infoprights
>         
>         ;
{txt}  3{com}.         #delimit cr
{txt}delimiter now cr
{com}.         
.         * Transform variables with long upper tail 
.         
.         foreach var of local `x'_hctrans {c -(}
{txt}  4{com}.                 gen `var'_sqrt = sqrt(`var') if treatfull != .
{txt}  5{com}.                 {c )-}
{txt}  6{com}.         
.         local `x'_hctrans_sqrt
{txt}  7{com}.         
.         foreach var of local `x'_hctrans{c -(}
{txt}  8{com}.                 local `x'_hctrans_sqrt ``x'_hctrans_sqrt' `var'_sqrt
{txt}  9{com}.                 {c )-}
{txt} 10{com}.         
.         * Implementing PCA technic
.         
.         * Using correlation matrix by default, so different units are not an issue
.                                                 
.         pca ``x'_hctrans_sqrt' if treatfull != ., com(1)
{txt} 11{com}.         predict `x'_var
{txt} 12{com}.         egen `x'_hctrans = std(`x'_var) if treatfull != .
{txt} 13{com}.         drop `x'_var
{txt} 14{com}.         
.         lab var `x'_hctrans "Asset index at `x'"
{txt} 15{com}.         local remain `remain' `x'_hctrans
{txt} 16{com}.                                                 
.         * We calculate it there as it only concerns baseline.
.         
.         * We drop useless variable
.         
.         foreach z of local `x'_hctrans_sqrt{c -(}
{txt} 17{com}.                 drop `z'
{txt} 18{com}.                 {c )-}
{txt} 19{com}.                 
.         {c )-}
{txt}(7,677 missing values generated)
(7,677 missing values generated)
(7,677 missing values generated)
(7,677 missing values generated)
(7,677 missing values generated)

Principal components/correlation{col 50}Number of obs    = {res}     7,618
{col 50}{txt}Number of comp.  = {res}         1
{col 50}{txt}Trace            {col 67}=  {res}        5
{col 5}{txt}Rotation: (unrotated = principal){col 50}Rho              = {res}    0.4106

{txt}{col 5}{hline 13}{c TT}{hline 60}
{col 5}   Component {c |}   Eigenvalue   Difference         Proportion   Cumulative
{col 5}{hline 13}{c +}{hline 60}
{col 5}{ralign 12:Comp1} {c |}{res}      2.05295       .98162             0.4106       0.4106
{txt}{col 5}{ralign 12:Comp2} {c |}{res}      1.07133      .378511             0.2143       0.6249
{txt}{col 5}{ralign 12:Comp3} {c |}{res}      .692814     .0645216             0.1386       0.7634
{txt}{col 5}{ralign 12:Comp4} {c |}{res}      .628292     .0736699             0.1257       0.8891
{txt}{col 5}{ralign 12:Comp5} {c |}{res}      .554623            .             0.1109       1.0000
{txt}{col 5}{hline 13}{c BT}{hline 60}

Principal components (eigenvectors) 

{space 4}{hline 13}{c  TT}{hline 10}{c  TT}{hline 13}
{space 4}{space 0}{ralign 12:Variable}{space 1}{c |}{space 1}{ralign 8:Comp1}{space 1}{c |}{space 1}{ralign 11:Unexplained}{space 1}
{space 4}{hline 13}{c   +}{hline 10}{c   +}{hline 13}
{space 4}{space 0}{ralign 12:b_h_openin~t}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.4803}}}{space 1}{c |}{space 1}{center 11:{res:{sf:      .5265}}}{space 1}
{space 4}{space 0}{ralign 12:b_h_dutyro~t}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3805}}}{space 1}{c |}{space 1}{center 11:{res:{sf:      .7028}}}{space 1}
{space 4}{space 0}{ralign 12:b_h_sugbox~t}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.4081}}}{space 1}{c |}{space 1}{center 11:{res:{sf:      .6582}}}{space 1}
{space 4}{space 0}{ralign 12:b_h_infose~t}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.4789}}}{space 1}{c |}{space 1}{center 11:{res:{sf:      .5292}}}{space 1}
{space 4}{space 0}{ralign 12:b_h_infopr~t}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.4783}}}{space 1}{c |}{space 1}{center 11:{res:{sf:      .5304}}}{space 1}
{space 4}{hline 13}{c  BT}{hline 10}{c  BT}{hline 13}
(score assumed)

Scoring coefficients 
{col 5}sum of squares(column-loading) = 1

{space 4}{hline 13}{c  TT}{hline 10}
{space 4}{space 0}{ralign 12:Variable}{space 1}{c |}{space 1}{ralign 8:Comp1}{space 1}
{space 4}{hline 13}{c   +}{hline 10}
{space 4}{space 0}{ralign 12:b_h_openin~t}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.4803}}}{space 1}
{space 4}{space 0}{ralign 12:b_h_dutyro~t}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3805}}}{space 1}
{space 4}{space 0}{ralign 12:b_h_sugbox~t}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.4081}}}{space 1}
{space 4}{space 0}{ralign 12:b_h_infose~t}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.4789}}}{space 1}
{space 4}{space 0}{ralign 12:b_h_infopr~t}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.4783}}}{space 1}
{space 4}{hline 13}{c  BT}{hline 10}
(7677 missing values generated)
(8,007 missing values generated)
(8,007 missing values generated)
(8,007 missing values generated)
(8,007 missing values generated)
(8,007 missing values generated)

Principal components/correlation{col 50}Number of obs    = {res}     7,288
{col 50}{txt}Number of comp.  = {res}         1
{col 50}{txt}Trace            {col 67}=  {res}        5
{col 5}{txt}Rotation: (unrotated = principal){col 50}Rho              = {res}    0.4243

{txt}{col 5}{hline 13}{c TT}{hline 60}
{col 5}   Component {c |}   Eigenvalue   Difference         Proportion   Cumulative
{col 5}{hline 13}{c +}{hline 60}
{col 5}{ralign 12:Comp1} {c |}{res}      2.12175      1.14825             0.4243       0.4243
{txt}{col 5}{ralign 12:Comp2} {c |}{res}      .973497      .223087             0.1947       0.6190
{txt}{col 5}{ralign 12:Comp3} {c |}{res}       .75041     .0431533             0.1501       0.7691
{txt}{col 5}{ralign 12:Comp4} {c |}{res}      .707257      .260169             0.1415       0.9106
{txt}{col 5}{ralign 12:Comp5} {c |}{res}      .447088            .             0.0894       1.0000
{txt}{col 5}{hline 13}{c BT}{hline 60}

Principal components (eigenvectors) 

{space 4}{hline 13}{c  TT}{hline 10}{c  TT}{hline 13}
{space 4}{space 0}{ralign 12:Variable}{space 1}{c |}{space 1}{ralign 8:Comp1}{space 1}{c |}{space 1}{ralign 11:Unexplained}{space 1}
{space 4}{hline 13}{c   +}{hline 10}{c   +}{hline 13}
{space 4}{space 0}{ralign 12:e_h_openin~t}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.4164}}}{space 1}{c |}{space 1}{center 11:{res:{sf:      .6322}}}{space 1}
{space 4}{space 0}{ralign 12:e_h_dutyro~t}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3053}}}{space 1}{c |}{space 1}{center 11:{res:{sf:      .8022}}}{space 1}
{space 4}{space 0}{ralign 12:e_h_sugbox~t}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.4868}}}{space 1}{c |}{space 1}{center 11:{res:{sf:      .4972}}}{space 1}
{space 4}{space 0}{ralign 12:e_h_infose~t}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.4546}}}{space 1}{c |}{space 1}{center 11:{res:{sf:      .5616}}}{space 1}
{space 4}{space 0}{ralign 12:e_h_infopr~t}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.5384}}}{space 1}{c |}{space 1}{center 11:{res:{sf:       .385}}}{space 1}
{space 4}{hline 13}{c  BT}{hline 10}{c  BT}{hline 13}
(score assumed)

Scoring coefficients 
{col 5}sum of squares(column-loading) = 1

{space 4}{hline 13}{c  TT}{hline 10}
{space 4}{space 0}{ralign 12:Variable}{space 1}{c |}{space 1}{ralign 8:Comp1}{space 1}
{space 4}{hline 13}{c   +}{hline 10}
{space 4}{space 0}{ralign 12:e_h_openin~t}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.4164}}}{space 1}
{space 4}{space 0}{ralign 12:e_h_dutyro~t}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3053}}}{space 1}
{space 4}{space 0}{ralign 12:e_h_sugbox~t}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.4868}}}{space 1}
{space 4}{space 0}{ralign 12:e_h_infose~t}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.4546}}}{space 1}
{space 4}{space 0}{ralign 12:e_h_infopr~t}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.5384}}}{space 1}
{space 4}{hline 13}{c  BT}{hline 10}
(8007 missing values generated)

{com}.         
.         * We create the 10% dummy variable
.                 
.         qui mdesc b_hctrans if treatfull != .
{txt}
{com}.         gen b_hctrans_d = (b_hctrans == . & `r(percent)' >= 10 & treatfull != .)
{txt}
{com}.         lab var b_hctrans_d "1 if the variable is missing at more than 10%"
{txt}
{com}.         local remain `remain' b_hctrans_d
{txt}
{com}.         
.         *********************
.         ** Creating locals **
.         *********************
. 
.         * We create it for endline and baseline and one only irrespective to the timeline
. 
.         local indices commtg h_ctzpressure urate treatqual patsat
{txt}
{com}.         local indices_ho healthout
{txt}
{com}.         
.         local intermediate ctzknow eff commresp relhhhc
{txt}
{com}.         local intermediate_hclevel hcpknow hctrans
{txt}
{com}.         
.         ***************
.         * Regressions *
.         ***************
.         
.         * In this part we run the regressions
.         
.         eststo clear
{txt}
{com}.         
.         * Then, we move to the regressions by treatment
.         
.         * At endline:
.         
.         eststo clear
{txt}
{com}.         
.         local var treatfull
{txt}
{com}.         
.         * We regress our main indices
.         
.         local y = 1
{txt}
{com}.         foreach x in `indices' {c -(}
{txt}  2{com}.                 areg  e_`x' `var' b_`x' b_`x'_d `e_controls_tfull' ``var'_int_e_controls', robust cl(hc_id) a(district)
{txt}  3{com}.                 estimates store m`y'
{txt}  4{com}.                 local y = `y' + 1
{txt}  5{com}.                 {c )-}
{txt}note: b_commtg_d omitted because of collinearity
{res}
{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}     7,288
{txt}{col 49}F({res}  14{txt},{res}    186{txt}){col 67}= {res}      4.25
{txt}{col 49}Prob > F{col 67}= {res}    0.0000
{txt}{col 49}R-squared{col 67}= {res}    0.0419
{txt}{col 49}Adj R-squared{col 67}= {res}    0.0381
{txt}{col 49}Root MSE{col 67}= {res}    0.9808

{txt}{ralign 78:(Std. Err. adjusted for {res:187} clusters in hc_id)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}    e_commtg{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2}-.0255933{col 26}{space 2} .0315912{col 37}{space 1}   -0.81{col 46}{space 3}0.419{col 54}{space 4}-.0879164{col 67}{space 3} .0367298
{txt}{space 4}b_commtg {c |}{col 14}{res}{space 2}  .024065{col 26}{space 2} .0122957{col 37}{space 1}    1.96{col 46}{space 3}0.052{col 54}{space 4} -.000192{col 67}{space 3}  .048322
{txt}{space 2}b_commtg_d {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 1}c_tfull_hc2 {c |}{col 14}{res}{space 2} .1603538{col 26}{space 2} .0612219{col 37}{space 1}    2.62{col 46}{space 3}0.010{col 54}{space 4} .0395753{col 67}{space 3} .2811322
{txt}c_tfull_b_~l {c |}{col 14}{res}{space 2}  .047549{col 26}{space 2} .0801882{col 37}{space 1}    0.59{col 46}{space 3}0.554{col 54}{space 4}-.1106464{col 67}{space 3} .2057444
{txt}c_tfull_b_~s {c |}{col 14}{res}{space 2}-.0797377{col 26}{space 2} .0901868{col 37}{space 1}   -0.88{col 46}{space 3}0.378{col 54}{space 4}-.2576584{col 67}{space 3} .0981829
{txt}c_tfull_b_~d {c |}{col 14}{res}{space 2} .1719232{col 26}{space 2} .0680898{col 37}{space 1}    2.52{col 46}{space 3}0.012{col 54}{space 4} .0375956{col 67}{space 3} .3062508
{txt}c_tfull_ed~r {c |}{col 14}{res}{space 2} .0040365{col 26}{space 2} .0038822{col 37}{space 1}    1.04{col 46}{space 3}0.300{col 54}{space 4}-.0036224{col 67}{space 3} .0116953
{txt}c_tfull_b_~x {c |}{col 14}{res}{space 2} .0410371{col 26}{space 2} .0183993{col 37}{space 1}    2.23{col 46}{space 3}0.027{col 54}{space 4}  .004739{col 67}{space 3} .0773352
{txt}c_trea~l_hc2 {c |}{col 14}{res}{space 2} .0249553{col 26}{space 2} .0753764{col 37}{space 1}    0.33{col 46}{space 3}0.741{col 54}{space 4}-.1237473{col 67}{space 3} .1736579
{txt}c_treatful.. {c |}{col 14}{res}{space 2}-.0073566{col 26}{space 2} .0927364{col 37}{space 1}   -0.08{col 46}{space 3}0.937{col 54}{space 4}-.1903069{col 67}{space 3} .1755937
{txt}c_treatful.. {c |}{col 14}{res}{space 2} .0955418{col 26}{space 2} .1020948{col 37}{space 1}    0.94{col 46}{space 3}0.351{col 54}{space 4}-.1058708{col 67}{space 3} .2969544
{txt}c_treatful.. {c |}{col 14}{res}{space 2} .0048332{col 26}{space 2} .0974249{col 37}{space 1}    0.05{col 46}{space 3}0.960{col 54}{space 4}-.1873667{col 67}{space 3} .1970331
{txt}c_treatful.. {c |}{col 14}{res}{space 2} .0063787{col 26}{space 2} .0058727{col 37}{space 1}    1.09{col 46}{space 3}0.279{col 54}{space 4} -.005207{col 67}{space 3} .0179644
{txt}c_treatful.. {c |}{col 14}{res}{space 2}-.0111787{col 26}{space 2} .0275491{col 37}{space 1}   -0.41{col 46}{space 3}0.685{col 54}{space 4}-.0655276{col 67}{space 3} .0431702
{txt}{space 7}_cons {c |}{col 14}{res}{space 2}  .012714{col 26}{space 2}  .022103{col 37}{space 1}    0.58{col 46}{space 3}0.566{col 54}{space 4}-.0308908{col 67}{space 3} .0563189
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)
note: b_h_ctzpressure_d omitted because of collinearity
{res}
{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}       187
{txt}{col 49}F({res}  14{txt},{res}    186{txt}){col 67}= {res}      1.00
{txt}{col 49}Prob > F{col 67}= {res}    0.4583
{txt}{col 49}R-squared{col 67}= {res}    0.1521
{txt}{col 49}Adj R-squared{col 67}= {res}   -0.0046
{txt}{col 49}Root MSE{col 67}= {res}    1.0023

{txt}{ralign 78:(Std. Err. adjusted for {res:187} clusters in hc_id)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}e_h_ctzpre~e{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2}-.2324184{col 26}{space 2} .1502182{col 37}{space 1}   -1.55{col 46}{space 3}0.124{col 54}{space 4}-.5287689{col 67}{space 3} .0639321
{txt}b_h_ctzpre~e {c |}{col 14}{res}{space 2}-.0022771{col 26}{space 2} .0773325{col 37}{space 1}   -0.03{col 46}{space 3}0.977{col 54}{space 4}-.1548388{col 67}{space 3} .1502845
{txt}b_h_ctzp~e_d {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 1}c_tfull_hc2 {c |}{col 14}{res}{space 2} .0531353{col 26}{space 2} .2502504{col 37}{space 1}    0.21{col 46}{space 3}0.832{col 54}{space 4}-.4405586{col 67}{space 3} .5468293
{txt}c_tfull_b_~l {c |}{col 14}{res}{space 2} .1023981{col 26}{space 2} .2782337{col 37}{space 1}    0.37{col 46}{space 3}0.713{col 54}{space 4}-.4465014{col 67}{space 3} .6512975
{txt}c_tfull_b_~s {c |}{col 14}{res}{space 2} .6623331{col 26}{space 2} .3756797{col 37}{space 1}    1.76{col 46}{space 3}0.080{col 54}{space 4}-.0788079{col 67}{space 3} 1.403474
{txt}c_tfull_b_~d {c |}{col 14}{res}{space 2}-.4604594{col 26}{space 2}  .366834{col 37}{space 1}   -1.26{col 46}{space 3}0.211{col 54}{space 4} -1.18415{col 67}{space 3} .2632307
{txt}c_tfull_ed~r {c |}{col 14}{res}{space 2}  -.03176{col 26}{space 2} .0226146{col 37}{space 1}   -1.40{col 46}{space 3}0.162{col 54}{space 4}-.0763741{col 67}{space 3} .0128541
{txt}c_tfull_b_~x {c |}{col 14}{res}{space 2} .1451277{col 26}{space 2} .1080633{col 37}{space 1}    1.34{col 46}{space 3}0.181{col 54}{space 4}-.0680595{col 67}{space 3} .3583149
{txt}c_trea~l_hc2 {c |}{col 14}{res}{space 2} .1015134{col 26}{space 2} .3541342{col 37}{space 1}    0.29{col 46}{space 3}0.775{col 54}{space 4}-.5971226{col 67}{space 3} .8001495
{txt}c_treatful.. {c |}{col 14}{res}{space 2}-.3208073{col 26}{space 2} .3468497{col 37}{space 1}   -0.92{col 46}{space 3}0.356{col 54}{space 4}-1.005072{col 67}{space 3} .3634578
{txt}c_treatful.. {c |}{col 14}{res}{space 2}-.4730608{col 26}{space 2} .3864449{col 37}{space 1}   -1.22{col 46}{space 3}0.222{col 54}{space 4}-1.235439{col 67}{space 3} .2893177
{txt}c_treatful.. {c |}{col 14}{res}{space 2} .1487829{col 26}{space 2} .5799034{col 37}{space 1}    0.26{col 46}{space 3}0.798{col 54}{space 4}-.9952506{col 67}{space 3} 1.292816
{txt}c_treatful.. {c |}{col 14}{res}{space 2} .0858145{col 26}{space 2} .0373457{col 37}{space 1}    2.30{col 46}{space 3}0.023{col 54}{space 4} .0121389{col 67}{space 3}   .15949
{txt}c_treatful.. {c |}{col 14}{res}{space 2}-.1698116{col 26}{space 2} .1840252{col 37}{space 1}   -0.92{col 46}{space 3}0.357{col 54}{space 4}-.5328566{col 67}{space 3} .1932333
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} .1016104{col 26}{space 2} .0994554{col 37}{space 1}    1.02{col 46}{space 3}0.308{col 54}{space 4}-.0945953{col 67}{space 3} .2978161
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)
note: b_urate_d omitted because of collinearity
{res}
{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}     7,288
{txt}{col 49}F({res}  14{txt},{res}    186{txt}){col 67}= {res}     75.00
{txt}{col 49}Prob > F{col 67}= {res}    0.0000
{txt}{col 49}R-squared{col 67}= {res}    0.2843
{txt}{col 49}Adj R-squared{col 67}= {res}    0.2814
{txt}{col 49}Root MSE{col 67}= {res}    0.8690

{txt}{ralign 78:(Std. Err. adjusted for {res:187} clusters in hc_id)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}     e_urate{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2} .0286409{col 26}{space 2} .0306014{col 37}{space 1}    0.94{col 46}{space 3}0.351{col 54}{space 4}-.0317295{col 67}{space 3} .0890112
{txt}{space 5}b_urate {c |}{col 14}{res}{space 2} .4372507{col 26}{space 2} .0156274{col 37}{space 1}   27.98{col 46}{space 3}0.000{col 54}{space 4} .4064209{col 67}{space 3} .4680804
{txt}{space 3}b_urate_d {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 1}c_tfull_hc2 {c |}{col 14}{res}{space 2} .0143492{col 26}{space 2} .0536507{col 37}{space 1}    0.27{col 46}{space 3}0.789{col 54}{space 4} -.091493{col 67}{space 3} .1201914
{txt}c_tfull_b_~l {c |}{col 14}{res}{space 2} .0104873{col 26}{space 2}  .065949{col 37}{space 1}    0.16{col 46}{space 3}0.874{col 54}{space 4}-.1196169{col 67}{space 3} .1405914
{txt}c_tfull_b_~s {c |}{col 14}{res}{space 2} .0134567{col 26}{space 2} .0780896{col 37}{space 1}    0.17{col 46}{space 3}0.863{col 54}{space 4}-.1405985{col 67}{space 3} .1675119
{txt}c_tfull_b_~d {c |}{col 14}{res}{space 2}-.0894467{col 26}{space 2} .1264763{col 37}{space 1}   -0.71{col 46}{space 3}0.480{col 54}{space 4}-.3389592{col 67}{space 3} .1600657
{txt}c_tfull_ed~r {c |}{col 14}{res}{space 2}-.0195353{col 26}{space 2} .0036748{col 37}{space 1}   -5.32{col 46}{space 3}0.000{col 54}{space 4} -.026785{col 67}{space 3}-.0122857
{txt}c_tfull_b_~x {c |}{col 14}{res}{space 2}-.0724558{col 26}{space 2} .0184609{col 37}{space 1}   -3.92{col 46}{space 3}0.000{col 54}{space 4}-.1088754{col 67}{space 3}-.0360362
{txt}c_trea~l_hc2 {c |}{col 14}{res}{space 2} .0079977{col 26}{space 2} .0673576{col 37}{space 1}    0.12{col 46}{space 3}0.906{col 54}{space 4}-.1248853{col 67}{space 3} .1408807
{txt}c_treatful.. {c |}{col 14}{res}{space 2} .0276335{col 26}{space 2} .0818609{col 37}{space 1}    0.34{col 46}{space 3}0.736{col 54}{space 4}-.1338617{col 67}{space 3} .1891286
{txt}c_treatful.. {c |}{col 14}{res}{space 2}  .025048{col 26}{space 2} .1058185{col 37}{space 1}    0.24{col 46}{space 3}0.813{col 54}{space 4}-.1837107{col 67}{space 3} .2338068
{txt}c_treatful.. {c |}{col 14}{res}{space 2}-.1349693{col 26}{space 2} .1606386{col 37}{space 1}   -0.84{col 46}{space 3}0.402{col 54}{space 4}-.4518771{col 67}{space 3} .1819385
{txt}c_treatful.. {c |}{col 14}{res}{space 2} .0042559{col 26}{space 2} .0054645{col 37}{space 1}    0.78{col 46}{space 3}0.437{col 54}{space 4}-.0065245{col 67}{space 3} .0150363
{txt}c_treatful.. {c |}{col 14}{res}{space 2} .0057888{col 26}{space 2} .0262696{col 37}{space 1}    0.22{col 46}{space 3}0.826{col 54}{space 4}-.0460359{col 67}{space 3} .0576134
{txt}{space 7}_cons {c |}{col 14}{res}{space 2}-.0525502{col 26}{space 2} .0223251{col 37}{space 1}   -2.35{col 46}{space 3}0.020{col 54}{space 4}-.0965931{col 67}{space 3}-.0085073
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)
note: b_treatqual_d omitted because of collinearity
{res}
{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}     7,288
{txt}{col 49}F({res}  14{txt},{res}    186{txt}){col 67}= {res}      2.86
{txt}{col 49}Prob > F{col 67}= {res}    0.0006
{txt}{col 49}R-squared{col 67}= {res}    0.0401
{txt}{col 49}Adj R-squared{col 67}= {res}    0.0363
{txt}{col 49}Root MSE{col 67}= {res}    0.9817

{txt}{ralign 78:(Std. Err. adjusted for {res:187} clusters in hc_id)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1} e_treatqual{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2} .0574594{col 26}{space 2} .0371323{col 37}{space 1}    1.55{col 46}{space 3}0.123{col 54}{space 4}-.0157952{col 67}{space 3} .1307141
{txt}{space 1}b_treatqual {c |}{col 14}{res}{space 2} .0613916{col 26}{space 2} .0146381{col 37}{space 1}    4.19{col 46}{space 3}0.000{col 54}{space 4} .0325136{col 67}{space 3} .0902697
{txt}b_treatq~l_d {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 1}c_tfull_hc2 {c |}{col 14}{res}{space 2} .0452474{col 26}{space 2} .0803196{col 37}{space 1}    0.56{col 46}{space 3}0.574{col 54}{space 4}-.1132071{col 67}{space 3}  .203702
{txt}c_tfull_b_~l {c |}{col 14}{res}{space 2} .1565796{col 26}{space 2} .0858469{col 37}{space 1}    1.82{col 46}{space 3}0.070{col 54}{space 4}-.0127792{col 67}{space 3} .3259384
{txt}c_tfull_b_~s {c |}{col 14}{res}{space 2} .0311953{col 26}{space 2}  .077626{col 37}{space 1}    0.40{col 46}{space 3}0.688{col 54}{space 4}-.1219452{col 67}{space 3} .1843358
{txt}c_tfull_b_~d {c |}{col 14}{res}{space 2}-.1177705{col 26}{space 2} .0632893{col 37}{space 1}   -1.86{col 46}{space 3}0.064{col 54}{space 4}-.2426276{col 67}{space 3} .0070866
{txt}c_tfull_ed~r {c |}{col 14}{res}{space 2} .0033917{col 26}{space 2} .0043731{col 37}{space 1}    0.78{col 46}{space 3}0.439{col 54}{space 4}-.0052355{col 67}{space 3} .0120189
{txt}c_tfull_b_~x {c |}{col 14}{res}{space 2}-.0193814{col 26}{space 2} .0200629{col 37}{space 1}   -0.97{col 46}{space 3}0.335{col 54}{space 4}-.0589615{col 67}{space 3} .0201987
{txt}c_trea~l_hc2 {c |}{col 14}{res}{space 2} .0005693{col 26}{space 2}  .095579{col 37}{space 1}    0.01{col 46}{space 3}0.995{col 54}{space 4}-.1879889{col 67}{space 3} .1891276
{txt}c_treatful.. {c |}{col 14}{res}{space 2}-.1931579{col 26}{space 2} .1006259{col 37}{space 1}   -1.92{col 46}{space 3}0.056{col 54}{space 4}-.3916726{col 67}{space 3} .0053569
{txt}c_treatful.. {c |}{col 14}{res}{space 2} .0629962{col 26}{space 2} .0961965{col 37}{space 1}    0.65{col 46}{space 3}0.513{col 54}{space 4}-.1267803{col 67}{space 3} .2527727
{txt}c_treatful.. {c |}{col 14}{res}{space 2}  .151404{col 26}{space 2} .0827372{col 37}{space 1}    1.83{col 46}{space 3}0.069{col 54}{space 4}-.0118199{col 67}{space 3} .3146279
{txt}c_treatful.. {c |}{col 14}{res}{space 2} .0026324{col 26}{space 2} .0064291{col 37}{space 1}    0.41{col 46}{space 3}0.683{col 54}{space 4}-.0100509{col 67}{space 3} .0153157
{txt}c_treatful.. {c |}{col 14}{res}{space 2}-.0111037{col 26}{space 2} .0271838{col 37}{space 1}   -0.41{col 46}{space 3}0.683{col 54}{space 4} -.064732{col 67}{space 3} .0425246
{txt}{space 7}_cons {c |}{col 14}{res}{space 2}-.0300589{col 26}{space 2} .0290875{col 37}{space 1}   -1.03{col 46}{space 3}0.303{col 54}{space 4}-.0874428{col 67}{space 3} .0273249
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)
note: b_patsat_d omitted because of collinearity
{res}
{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}     7,288
{txt}{col 49}F({res}  14{txt},{res}    186{txt}){col 67}= {res}      6.54
{txt}{col 49}Prob > F{col 67}= {res}    0.0000
{txt}{col 49}R-squared{col 67}= {res}    0.0279
{txt}{col 49}Adj R-squared{col 67}= {res}    0.0240
{txt}{col 49}Root MSE{col 67}= {res}    0.9879

{txt}{ralign 78:(Std. Err. adjusted for {res:187} clusters in hc_id)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}    e_patsat{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2}  .094429{col 26}{space 2} .0329715{col 37}{space 1}    2.86{col 46}{space 3}0.005{col 54}{space 4} .0293829{col 67}{space 3} .1594751
{txt}{space 4}b_patsat {c |}{col 14}{res}{space 2} .1206002{col 26}{space 2} .0173024{col 37}{space 1}    6.97{col 46}{space 3}0.000{col 54}{space 4}  .086466{col 67}{space 3} .1547344
{txt}{space 2}b_patsat_d {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 1}c_tfull_hc2 {c |}{col 14}{res}{space 2} .0872351{col 26}{space 2} .0554282{col 37}{space 1}    1.57{col 46}{space 3}0.117{col 54}{space 4}-.0221136{col 67}{space 3} .1965837
{txt}c_tfull_b_~l {c |}{col 14}{res}{space 2} .1539566{col 26}{space 2} .0702975{col 37}{space 1}    2.19{col 46}{space 3}0.030{col 54}{space 4} .0152736{col 67}{space 3} .2926396
{txt}c_tfull_b_~s {c |}{col 14}{res}{space 2} .0448159{col 26}{space 2} .0869019{col 37}{space 1}    0.52{col 46}{space 3}0.607{col 54}{space 4}-.1266242{col 67}{space 3} .2162561
{txt}c_tfull_b_~d {c |}{col 14}{res}{space 2}-.0460849{col 26}{space 2} .0624744{col 37}{space 1}   -0.74{col 46}{space 3}0.462{col 54}{space 4}-.1693345{col 67}{space 3} .0771647
{txt}c_tfull_ed~r {c |}{col 14}{res}{space 2} .0032134{col 26}{space 2} .0048557{col 37}{space 1}    0.66{col 46}{space 3}0.509{col 54}{space 4} -.006366{col 67}{space 3} .0127928
{txt}c_tfull_b_~x {c |}{col 14}{res}{space 2} .0297899{col 26}{space 2} .0158202{col 37}{space 1}    1.88{col 46}{space 3}0.061{col 54}{space 4}-.0014201{col 67}{space 3}     .061
{txt}c_trea~l_hc2 {c |}{col 14}{res}{space 2}-.1939229{col 26}{space 2} .0773146{col 37}{space 1}   -2.51{col 46}{space 3}0.013{col 54}{space 4}-.3464491{col 67}{space 3}-.0413967
{txt}c_treatful.. {c |}{col 14}{res}{space 2}-.2657282{col 26}{space 2} .0870983{col 37}{space 1}   -3.05{col 46}{space 3}0.003{col 54}{space 4}-.4375558{col 67}{space 3}-.0939006
{txt}c_treatful.. {c |}{col 14}{res}{space 2}-.0039076{col 26}{space 2} .1001951{col 37}{space 1}   -0.04{col 46}{space 3}0.969{col 54}{space 4}-.2015724{col 67}{space 3} .1937572
{txt}c_treatful.. {c |}{col 14}{res}{space 2}-.0394505{col 26}{space 2}  .071204{col 37}{space 1}   -0.55{col 46}{space 3}0.580{col 54}{space 4}-.1799218{col 67}{space 3} .1010207
{txt}c_treatful.. {c |}{col 14}{res}{space 2} .0066826{col 26}{space 2} .0062734{col 37}{space 1}    1.07{col 46}{space 3}0.288{col 54}{space 4}-.0056935{col 67}{space 3} .0190587
{txt}c_treatful.. {c |}{col 14}{res}{space 2}-.0419475{col 26}{space 2} .0224139{col 37}{space 1}   -1.87{col 46}{space 3}0.063{col 54}{space 4}-.0861657{col 67}{space 3} .0022707
{txt}{space 7}_cons {c |}{col 14}{res}{space 2}-.0467121{col 26}{space 2}  .024984{col 37}{space 1}   -1.87{col 46}{space 3}0.063{col 54}{space 4}-.0960006{col 67}{space 3} .0025764
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{com}.                 
.         local y = 6
{txt}
{com}.         foreach x in `indices_ho' {c -(}
{txt}  2{com}.                 areg  e_`x' `var' b_`x' b_`x'_d `e_controls_tfull_hoe' `tfulli_hoe_e_controls', robust cl(hc_id) a(district)
{txt}  3{com}.                 estimates store m`y'
{txt}  4{com}.                 {c )-}
{txt}note: b_healthout_d omitted because of collinearity
{res}
{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}     4,212
{txt}{col 49}F({res}  14{txt},{res}    186{txt}){col 67}= {res}     14.81
{txt}{col 49}Prob > F{col 67}= {res}    0.0000
{txt}{col 49}R-squared{col 67}= {res}    0.0418
{txt}{col 49}Adj R-squared{col 67}= {res}    0.0352
{txt}{col 49}Root MSE{col 67}= {res}    0.9630

{txt}{ralign 78:(Std. Err. adjusted for {res:187} clusters in hc_id)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1} e_healthout{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2}-.0108319{col 26}{space 2} .0307134{col 37}{space 1}   -0.35{col 46}{space 3}0.725{col 54}{space 4}-.0714232{col 67}{space 3} .0497594
{txt}{space 1}b_healthout {c |}{col 14}{res}{space 2} .1857383{col 26}{space 2}  .016375{col 37}{space 1}   11.34{col 46}{space 3}0.000{col 54}{space 4} .1534338{col 67}{space 3} .2180428
{txt}b_health~t_d {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
c_~l_hoe_hc2 {c |}{col 14}{res}{space 2}  .074859{col 26}{space 2} .0641955{col 37}{space 1}    1.17{col 46}{space 3}0.245{col 54}{space 4}-.0517859{col 67}{space 3} .2015039
{txt}c_tfull_ho.. {c |}{col 14}{res}{space 2} .0152652{col 26}{space 2} .0818117{col 37}{space 1}    0.19{col 46}{space 3}0.852{col 54}{space 4}-.1461329{col 67}{space 3} .1766634
{txt}c_tfull_ho.. {c |}{col 14}{res}{space 2} .0154388{col 26}{space 2} .0866765{col 37}{space 1}    0.18{col 46}{space 3}0.859{col 54}{space 4}-.1555566{col 67}{space 3} .1864341
{txt}c_tfull_ho.. {c |}{col 14}{res}{space 2}-.0726788{col 26}{space 2} .0858471{col 37}{space 1}   -0.85{col 46}{space 3}0.398{col 54}{space 4}-.2420381{col 67}{space 3} .0966804
{txt}c_tfull_ho.. {c |}{col 14}{res}{space 2} .0101823{col 26}{space 2} .0063718{col 37}{space 1}    1.60{col 46}{space 3}0.112{col 54}{space 4}-.0023879{col 67}{space 3} .0227525
{txt}c_tfull_ho.. {c |}{col 14}{res}{space 2} .0868901{col 26}{space 2} .0261118{col 37}{space 1}    3.33{col 46}{space 3}0.001{col 54}{space 4} .0353767{col 67}{space 3} .1384035
{txt}c~li_hoe_hc2 {c |}{col 14}{res}{space 2}-.0976369{col 26}{space 2} .0760039{col 37}{space 1}   -1.28{col 46}{space 3}0.201{col 54}{space 4}-.2475774{col 67}{space 3} .0523036
{txt}c_tfulli_h.. {c |}{col 14}{res}{space 2}-.0999968{col 26}{space 2} .0874308{col 37}{space 1}   -1.14{col 46}{space 3}0.254{col 54}{space 4}-.2724803{col 67}{space 3} .0724867
{txt}c_tfulli_h.. {c |}{col 14}{res}{space 2}-.0131347{col 26}{space 2}  .092324{col 37}{space 1}   -0.14{col 46}{space 3}0.887{col 54}{space 4}-.1952715{col 67}{space 3} .1690022
{txt}c_tfulli_h.. {c |}{col 14}{res}{space 2}-.0333649{col 26}{space 2} .1122393{col 37}{space 1}   -0.30{col 46}{space 3}0.767{col 54}{space 4}-.2547907{col 67}{space 3} .1880608
{txt}c_tfulli_h.. {c |}{col 14}{res}{space 2} .0002426{col 26}{space 2} .0080074{col 37}{space 1}    0.03{col 46}{space 3}0.976{col 54}{space 4}-.0155545{col 67}{space 3} .0160396
{txt}c_tfulli_h.. {c |}{col 14}{res}{space 2}-.0586526{col 26}{space 2} .0314082{col 37}{space 1}   -1.87{col 46}{space 3}0.063{col 54}{space 4}-.1206146{col 67}{space 3} .0033094
{txt}{space 7}_cons {c |}{col 14}{res}{space 2}   .01079{col 26}{space 2} .0235934{col 37}{space 1}    0.46{col 46}{space 3}0.648{col 54}{space 4}-.0357551{col 67}{space 3}  .057335
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{com}.                 
.         
.         * We create the plot concerning the results of the main indices
.         
.         *********************************
.         * Table Main outcomes (Endline) *
.         *********************************
.         
.         * Outsheeting in the table folder and final appendix folder
.         
.         # delimit;
{txt}delimiter now ;
{com}.                 esttab m1 m2 m3 m4 m5 m6
>         using "${c -(}tables{c )-}/TableI31.tex", b(%5.3f) se(%5.3f)
>                 title(Main outcomes PCA calcul: Averaged z-score indices)
>                 keep(`var' _cons)
>                 varlabels (`var' "Full treatment" _cons "Constant")
>                 starlevels(* .10 ** .05 *** .01)                
>                 mtitles("\textbf{c -(}\begin{c -(}tabular{c )-}[c]{c -(}@{c -(}{c )-}c@{c -(}{c )-}{c )-}Citizen\\monitoring\end{c -(}tabular{c )-}{c )-}"
>                                 "\textbf{c -(}\begin{c -(}tabular{c )-}[c]{c -(}@{c -(}{c )-}c@{c -(}{c )-}{c )-}Perceived\\citizen\\pressure\end{c -(}tabular{c )-}{c )-}"
>                                 "\textbf{c -(}Utilization{c )-}"
>                                 "\textbf{c -(}\begin{c -(}tabular{c )-}[c]{c -(}@{c -(}{c )-}c@{c -(}{c )-}{c )-}Treatment\\quality\end{c -(}tabular{c )-}{c )-}"
>                                 "\textbf{c -(}\begin{c -(}tabular{c )-}[c]{c -(}@{c -(}{c )-}c@{c -(}{c )-}{c )-}Patient\\satisfaction\end{c -(}tabular{c )-}{c )-}"
>                                 "\textbf{c -(}\begin{c -(}tabular{c )-}[c]{c -(}@{c -(}{c )-}c@{c -(}{c )-}{c )-}Health\\outcomes\end{c -(}tabular{c )-}{c )-}")
>                 stats(N r2, labels("N" "R$^{c -(}2{c )-}$") fmt(%9.0fc %9.3fc)) label booktabs nonotes replace
>         
>         ;
{res}{txt}(output written to {browse  `"/Users/fredericcochinard/Dropbox/ACT_Health_JOP_replication_file/3.Tables and Figures/Tables/TableI31.tex"'})

{com}.                 # delimit cr
{txt}delimiter now cr
{com}.         
.         
.         ***************************
.         ** Intermediate outcomes **
.         ***************************
.         
.         * At endline:
.         
.         eststo clear
{txt}
{com}.         
.         local y = 1
{txt}
{com}.         foreach x in `intermediate' {c -(}
{txt}  2{com}.                 areg  e_`x' `var' b_`x' b_`x'_d `e_controls_tfull' ``var'_int_e_controls', robust cl(hc_id) a(district)
{txt}  3{com}.                 estimates store m`y'
{txt}  4{com}.                 local y = `y' + 1
{txt}  5{com}.                 {c )-}
{txt}note: b_ctzknow_d omitted because of collinearity
{res}
{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}     7,288
{txt}{col 49}F({res}  14{txt},{res}    186{txt}){col 67}= {res}     14.55
{txt}{col 49}Prob > F{col 67}= {res}    0.0000
{txt}{col 49}R-squared{col 67}= {res}    0.1316
{txt}{col 49}Adj R-squared{col 67}= {res}    0.1281
{txt}{col 49}Root MSE{col 67}= {res}    0.9338

{txt}{ralign 78:(Std. Err. adjusted for {res:187} clusters in hc_id)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}   e_ctzknow{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2}-.1059688{col 26}{space 2} .0316052{col 37}{space 1}   -3.35{col 46}{space 3}0.001{col 54}{space 4}-.1683196{col 67}{space 3} -.043618
{txt}{space 3}b_ctzknow {c |}{col 14}{res}{space 2} .0671627{col 26}{space 2} .0125583{col 37}{space 1}    5.35{col 46}{space 3}0.000{col 54}{space 4} .0423877{col 67}{space 3} .0919376
{txt}{space 1}b_ctzknow_d {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 1}c_tfull_hc2 {c |}{col 14}{res}{space 2}-.0509746{col 26}{space 2} .0573634{col 37}{space 1}   -0.89{col 46}{space 3}0.375{col 54}{space 4}-.1641412{col 67}{space 3}  .062192
{txt}c_tfull_b_~l {c |}{col 14}{res}{space 2} .0598942{col 26}{space 2} .0658311{col 37}{space 1}    0.91{col 46}{space 3}0.364{col 54}{space 4}-.0699775{col 67}{space 3} .1897659
{txt}c_tfull_b_~s {c |}{col 14}{res}{space 2} .1361438{col 26}{space 2} .0849284{col 37}{space 1}    1.60{col 46}{space 3}0.111{col 54}{space 4}-.0314029{col 67}{space 3} .3036905
{txt}c_tfull_b_~d {c |}{col 14}{res}{space 2} .0796311{col 26}{space 2} .0593327{col 37}{space 1}    1.34{col 46}{space 3}0.181{col 54}{space 4}-.0374205{col 67}{space 3} .1966826
{txt}c_tfull_ed~r {c |}{col 14}{res}{space 2} .0228039{col 26}{space 2} .0039377{col 37}{space 1}    5.79{col 46}{space 3}0.000{col 54}{space 4} .0150356{col 67}{space 3} .0305722
{txt}c_tfull_b_~x {c |}{col 14}{res}{space 2} .0854246{col 26}{space 2}  .016387{col 37}{space 1}    5.21{col 46}{space 3}0.000{col 54}{space 4} .0530963{col 67}{space 3}  .117753
{txt}c_trea~l_hc2 {c |}{col 14}{res}{space 2} .0407824{col 26}{space 2}  .073542{col 37}{space 1}    0.55{col 46}{space 3}0.580{col 54}{space 4}-.1043013{col 67}{space 3} .1858661
{txt}c_treatful.. {c |}{col 14}{res}{space 2}-.0384564{col 26}{space 2} .0823783{col 37}{space 1}   -0.47{col 46}{space 3}0.641{col 54}{space 4}-.2009724{col 67}{space 3} .1240596
{txt}c_treatful.. {c |}{col 14}{res}{space 2}-.1445342{col 26}{space 2}  .099402{col 37}{space 1}   -1.45{col 46}{space 3}0.148{col 54}{space 4}-.3406344{col 67}{space 3}  .051566
{txt}c_treatful.. {c |}{col 14}{res}{space 2} .1380007{col 26}{space 2} .0877818{col 37}{space 1}    1.57{col 46}{space 3}0.118{col 54}{space 4}-.0351752{col 67}{space 3} .3111767
{txt}c_treatful.. {c |}{col 14}{res}{space 2}-.0077022{col 26}{space 2} .0061515{col 37}{space 1}   -1.25{col 46}{space 3}0.212{col 54}{space 4}-.0198377{col 67}{space 3} .0044334
{txt}c_treatful.. {c |}{col 14}{res}{space 2} .0073471{col 26}{space 2} .0233823{col 37}{space 1}    0.31{col 46}{space 3}0.754{col 54}{space 4}-.0387816{col 67}{space 3} .0534758
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} .0517437{col 26}{space 2} .0228184{col 37}{space 1}    2.27{col 46}{space 3}0.025{col 54}{space 4} .0067277{col 67}{space 3} .0967598
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)
note: b_eff_d omitted because of collinearity
{res}
{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}     7,288
{txt}{col 49}F({res}  14{txt},{res}    186{txt}){col 67}= {res}      7.58
{txt}{col 49}Prob > F{col 67}= {res}    0.0000
{txt}{col 49}R-squared{col 67}= {res}    0.0444
{txt}{col 49}Adj R-squared{col 67}= {res}    0.0406
{txt}{col 49}Root MSE{col 67}= {res}    0.9795

{txt}{ralign 78:(Std. Err. adjusted for {res:187} clusters in hc_id)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}       e_eff{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2}-.0327806{col 26}{space 2}  .035936{col 37}{space 1}   -0.91{col 46}{space 3}0.363{col 54}{space 4}-.1036752{col 67}{space 3}  .038114
{txt}{space 7}b_eff {c |}{col 14}{res}{space 2} .0586363{col 26}{space 2} .0128796{col 37}{space 1}    4.55{col 46}{space 3}0.000{col 54}{space 4} .0332275{col 67}{space 3} .0840451
{txt}{space 5}b_eff_d {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 1}c_tfull_hc2 {c |}{col 14}{res}{space 2} .0660748{col 26}{space 2} .0578976{col 37}{space 1}    1.14{col 46}{space 3}0.255{col 54}{space 4}-.0481456{col 67}{space 3} .1802951
{txt}c_tfull_b_~l {c |}{col 14}{res}{space 2} .1146596{col 26}{space 2} .0744332{col 37}{space 1}    1.54{col 46}{space 3}0.125{col 54}{space 4}-.0321823{col 67}{space 3} .2615014
{txt}c_tfull_b_~s {c |}{col 14}{res}{space 2} .0037493{col 26}{space 2} .0822958{col 37}{space 1}    0.05{col 46}{space 3}0.964{col 54}{space 4}-.1586039{col 67}{space 3} .1661025
{txt}c_tfull_b_~d {c |}{col 14}{res}{space 2} .0238021{col 26}{space 2} .0727381{col 37}{space 1}    0.33{col 46}{space 3}0.744{col 54}{space 4}-.1196956{col 67}{space 3} .1672999
{txt}c_tfull_ed~r {c |}{col 14}{res}{space 2} .0191337{col 26}{space 2} .0041773{col 37}{space 1}    4.58{col 46}{space 3}0.000{col 54}{space 4} .0108927{col 67}{space 3} .0273747
{txt}c_tfull_b_~x {c |}{col 14}{res}{space 2} .0752608{col 26}{space 2} .0199594{col 37}{space 1}    3.77{col 46}{space 3}0.000{col 54}{space 4}  .035885{col 67}{space 3} .1146367
{txt}c_trea~l_hc2 {c |}{col 14}{res}{space 2} -.078494{col 26}{space 2} .0781611{col 37}{space 1}   -1.00{col 46}{space 3}0.317{col 54}{space 4}-.2326902{col 67}{space 3} .0757022
{txt}c_treatful.. {c |}{col 14}{res}{space 2}-.2017967{col 26}{space 2} .0901259{col 37}{space 1}   -2.24{col 46}{space 3}0.026{col 54}{space 4}-.3795971{col 67}{space 3}-.0239963
{txt}c_treatful.. {c |}{col 14}{res}{space 2}-.0083995{col 26}{space 2} .1112607{col 37}{space 1}   -0.08{col 46}{space 3}0.940{col 54}{space 4}-.2278946{col 67}{space 3} .2110957
{txt}c_treatful.. {c |}{col 14}{res}{space 2} .1237902{col 26}{space 2} .1032971{col 37}{space 1}    1.20{col 46}{space 3}0.232{col 54}{space 4}-.0799944{col 67}{space 3} .3275748
{txt}c_treatful.. {c |}{col 14}{res}{space 2}-.0088388{col 26}{space 2} .0060186{col 37}{space 1}   -1.47{col 46}{space 3}0.144{col 54}{space 4}-.0207122{col 67}{space 3} .0030346
{txt}c_treatful.. {c |}{col 14}{res}{space 2}-.0265392{col 26}{space 2} .0273052{col 37}{space 1}   -0.97{col 46}{space 3}0.332{col 54}{space 4}-.0804069{col 67}{space 3} .0273285
{txt}{space 7}_cons {c |}{col 14}{res}{space 2}  .015636{col 26}{space 2} .0238166{col 37}{space 1}    0.66{col 46}{space 3}0.512{col 54}{space 4}-.0313493{col 67}{space 3} .0626214
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)
note: b_commresp_d omitted because of collinearity
{res}
{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}     7,288
{txt}{col 49}F({res}  14{txt},{res}    186{txt}){col 67}= {res}      7.51
{txt}{col 49}Prob > F{col 67}= {res}    0.0000
{txt}{col 49}R-squared{col 67}= {res}    0.0532
{txt}{col 49}Adj R-squared{col 67}= {res}    0.0494
{txt}{col 49}Root MSE{col 67}= {res}    0.9750

{txt}{ralign 78:(Std. Err. adjusted for {res:187} clusters in hc_id)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}  e_commresp{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2}-.0173739{col 26}{space 2} .0271961{col 37}{space 1}   -0.64{col 46}{space 3}0.524{col 54}{space 4}-.0710264{col 67}{space 3} .0362785
{txt}{space 2}b_commresp {c |}{col 14}{res}{space 2} .0644883{col 26}{space 2} .0116137{col 37}{space 1}    5.55{col 46}{space 3}0.000{col 54}{space 4} .0415767{col 67}{space 3} .0873999
{txt}b_commresp_d {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 1}c_tfull_hc2 {c |}{col 14}{res}{space 2} .1091389{col 26}{space 2} .0505064{col 37}{space 1}    2.16{col 46}{space 3}0.032{col 54}{space 4} .0094999{col 67}{space 3}  .208778
{txt}c_tfull_b_~l {c |}{col 14}{res}{space 2} .0359253{col 26}{space 2} .0609985{col 37}{space 1}    0.59{col 46}{space 3}0.557{col 54}{space 4}-.0844126{col 67}{space 3} .1562632
{txt}c_tfull_b_~s {c |}{col 14}{res}{space 2} .0974516{col 26}{space 2} .0523698{col 37}{space 1}    1.86{col 46}{space 3}0.064{col 54}{space 4}-.0058636{col 67}{space 3} .2007667
{txt}c_tfull_b_~d {c |}{col 14}{res}{space 2} .0326391{col 26}{space 2} .0730575{col 37}{space 1}    0.45{col 46}{space 3}0.656{col 54}{space 4}-.1114887{col 67}{space 3} .1767669
{txt}c_tfull_ed~r {c |}{col 14}{res}{space 2} .0078477{col 26}{space 2}  .003554{col 37}{space 1}    2.21{col 46}{space 3}0.028{col 54}{space 4} .0008363{col 67}{space 3} .0148591
{txt}c_tfull_b_~x {c |}{col 14}{res}{space 2}   .05693{col 26}{space 2} .0189709{col 37}{space 1}    3.00{col 46}{space 3}0.003{col 54}{space 4} .0195041{col 67}{space 3} .0943558
{txt}c_trea~l_hc2 {c |}{col 14}{res}{space 2} .0436756{col 26}{space 2} .0673171{col 37}{space 1}    0.65{col 46}{space 3}0.517{col 54}{space 4}-.0891277{col 67}{space 3} .1764788
{txt}c_treatful.. {c |}{col 14}{res}{space 2} .0098428{col 26}{space 2} .0752505{col 37}{space 1}    0.13{col 46}{space 3}0.896{col 54}{space 4}-.1386115{col 67}{space 3}  .158297
{txt}c_treatful.. {c |}{col 14}{res}{space 2} -.048171{col 26}{space 2} .0623908{col 37}{space 1}   -0.77{col 46}{space 3}0.441{col 54}{space 4}-.1712556{col 67}{space 3} .0749135
{txt}c_treatful.. {c |}{col 14}{res}{space 2}-.0450733{col 26}{space 2}   .09585{col 37}{space 1}   -0.47{col 46}{space 3}0.639{col 54}{space 4}-.2341662{col 67}{space 3} .1440197
{txt}c_treatful.. {c |}{col 14}{res}{space 2} .0067732{col 26}{space 2} .0060788{col 37}{space 1}    1.11{col 46}{space 3}0.267{col 54}{space 4} -.005219{col 67}{space 3} .0187655
{txt}c_treatful.. {c |}{col 14}{res}{space 2}-.0036141{col 26}{space 2} .0252732{col 37}{space 1}   -0.14{col 46}{space 3}0.886{col 54}{space 4}-.0534731{col 67}{space 3}  .046245
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} .0087702{col 26}{space 2} .0186646{col 37}{space 1}    0.47{col 46}{space 3}0.639{col 54}{space 4}-.0280512{col 67}{space 3} .0455917
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)
note: b_relhhhc_d omitted because of collinearity
{res}
{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}     7,288
{txt}{col 49}F({res}  14{txt},{res}    186{txt}){col 67}= {res}     24.29
{txt}{col 49}Prob > F{col 67}= {res}    0.0000
{txt}{col 49}R-squared{col 67}= {res}    0.0591
{txt}{col 49}Adj R-squared{col 67}= {res}    0.0554
{txt}{col 49}Root MSE{col 67}= {res}    0.9719

{txt}{ralign 78:(Std. Err. adjusted for {res:187} clusters in hc_id)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}   e_relhhhc{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2} .0790963{col 26}{space 2} .0353724{col 37}{space 1}    2.24{col 46}{space 3}0.027{col 54}{space 4} .0093137{col 67}{space 3}  .148879
{txt}{space 3}b_relhhhc {c |}{col 14}{res}{space 2} .2045145{col 26}{space 2} .0128913{col 37}{space 1}   15.86{col 46}{space 3}0.000{col 54}{space 4} .1790827{col 67}{space 3} .2299464
{txt}{space 1}b_relhhhc_d {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 1}c_tfull_hc2 {c |}{col 14}{res}{space 2} .1171846{col 26}{space 2} .0687575{col 37}{space 1}    1.70{col 46}{space 3}0.090{col 54}{space 4}-.0184602{col 67}{space 3} .2528294
{txt}c_tfull_b_~l {c |}{col 14}{res}{space 2} .1053021{col 26}{space 2} .0932575{col 37}{space 1}    1.13{col 46}{space 3}0.260{col 54}{space 4}-.0786763{col 67}{space 3} .2892804
{txt}c_tfull_b_~s {c |}{col 14}{res}{space 2} .0466569{col 26}{space 2} .1013806{col 37}{space 1}    0.46{col 46}{space 3}0.646{col 54}{space 4}-.1533468{col 67}{space 3} .2466606
{txt}c_tfull_b_~d {c |}{col 14}{res}{space 2} .2520463{col 26}{space 2} .0582448{col 37}{space 1}    4.33{col 46}{space 3}0.000{col 54}{space 4} .1371409{col 67}{space 3} .3669517
{txt}c_tfull_ed~r {c |}{col 14}{res}{space 2}-.0027743{col 26}{space 2} .0045941{col 37}{space 1}   -0.60{col 46}{space 3}0.547{col 54}{space 4}-.0118375{col 67}{space 3}  .006289
{txt}c_tfull_b_~x {c |}{col 14}{res}{space 2} .0288002{col 26}{space 2} .0201198{col 37}{space 1}    1.43{col 46}{space 3}0.154{col 54}{space 4}-.0108922{col 67}{space 3} .0684925
{txt}c_trea~l_hc2 {c |}{col 14}{res}{space 2}-.1296614{col 26}{space 2} .0847501{col 37}{space 1}   -1.53{col 46}{space 3}0.128{col 54}{space 4}-.2968564{col 67}{space 3} .0375337
{txt}c_treatful.. {c |}{col 14}{res}{space 2}-.1842038{col 26}{space 2} .1086421{col 37}{space 1}   -1.70{col 46}{space 3}0.092{col 54}{space 4} -.398533{col 67}{space 3} .0301254
{txt}c_treatful.. {c |}{col 14}{res}{space 2} .0887958{col 26}{space 2} .1276598{col 37}{space 1}    0.70{col 46}{space 3}0.488{col 54}{space 4}-.1630514{col 67}{space 3} .3406431
{txt}c_treatful.. {c |}{col 14}{res}{space 2}-.1193396{col 26}{space 2} .0920131{col 37}{space 1}   -1.30{col 46}{space 3}0.196{col 54}{space 4} -.300863{col 67}{space 3} .0621837
{txt}c_treatful.. {c |}{col 14}{res}{space 2} .0004889{col 26}{space 2} .0059726{col 37}{space 1}    0.08{col 46}{space 3}0.935{col 54}{space 4}-.0112939{col 67}{space 3} .0122717
{txt}c_treatful.. {c |}{col 14}{res}{space 2} .0089568{col 26}{space 2}  .026873{col 37}{space 1}    0.33{col 46}{space 3}0.739{col 54}{space 4}-.0440582{col 67}{space 3} .0619718
{txt}{space 7}_cons {c |}{col 14}{res}{space 2}-.0406258{col 26}{space 2} .0246347{col 37}{space 1}   -1.65{col 46}{space 3}0.101{col 54}{space 4}-.0892252{col 67}{space 3} .0079736
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{com}.                 
.         local y = 6
{txt}
{com}.         foreach x in `intermediate_hclevel' {c -(}
{txt}  2{com}.                 areg  e_`x' `var' b_`x' b_`x'_d `e_controls_tfull_hc' ``var'_hc_int_e_controls' if uniquehc == 1, robust a(district)
{txt}  3{com}.                 estimates store m`y'
{txt}  4{com}.                 local y = `y' + 1
{txt}  5{com}.                 {c )-}
{p 0 6 2}{txt}note: b_hcpknow_d omitted because of collinearity{p_end}
{res}
{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}       187
{txt}{col 49}F({res}  14{txt},{res}    157{txt}){col 67}= {res}      2.49
{txt}{col 49}Prob > F{col 67}= {res}    0.0032
{txt}{col 49}R-squared{col 67}= {res}    0.2474
{txt}{col 49}Adj R-squared{col 67}= {res}    0.1084
{txt}{col 49}Root MSE{col 67}= {res}    0.9443

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}   e_hcpknow{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2} .1750989{col 26}{space 2} .1400284{col 37}{space 1}    1.25{col 46}{space 3}0.213{col 54}{space 4}-.1014837{col 67}{space 3} .4516815
{txt}{space 3}b_hcpknow {c |}{col 14}{res}{space 2} .0346498{col 26}{space 2} .0683547{col 37}{space 1}    0.51{col 46}{space 3}0.613{col 54}{space 4}-.1003637{col 67}{space 3} .1696633
{txt}{space 1}b_hcpknow_d {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
c_tf~_hc_hc2 {c |}{col 14}{res}{space 2}-.2603498{col 26}{space 2} .2819674{col 37}{space 1}   -0.92{col 46}{space 3}0.357{col 54}{space 4}-.8172889{col 67}{space 3} .2965892
{txt}c_tfull_hc~l {c |}{col 14}{res}{space 2} .0569482{col 26}{space 2} .3059564{col 37}{space 1}    0.19{col 46}{space 3}0.853{col 54}{space 4}-.5473736{col 67}{space 3} .6612699
{txt}c_tfull_hc~s {c |}{col 14}{res}{space 2} 1.108748{col 26}{space 2} .3138729{col 37}{space 1}    3.53{col 46}{space 3}0.001{col 54}{space 4} .4887892{col 67}{space 3} 1.728706
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2} .1322195{col 26}{space 2} .8543246{col 37}{space 1}    0.15{col 46}{space 3}0.877{col 54}{space 4}-1.555233{col 67}{space 3} 1.819672
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2}-.0828652{col 26}{space 2} .0990992{col 37}{space 1}   -0.84{col 46}{space 3}0.404{col 54}{space 4}-.2786048{col 67}{space 3} .1128744
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2}  .337404{col 26}{space 2} .3086419{col 37}{space 1}    1.09{col 46}{space 3}0.276{col 54}{space 4}-.2722221{col 67}{space 3}   .94703
{txt}c_treatful.. {c |}{col 14}{res}{space 2}-.0456169{col 26}{space 2} .3698595{col 37}{space 1}   -0.12{col 46}{space 3}0.902{col 54}{space 4}-.7761593{col 67}{space 3} .6849256
{txt}c_treatful.. {c |}{col 14}{res}{space 2} .2159331{col 26}{space 2} .3889831{col 37}{space 1}    0.56{col 46}{space 3}0.580{col 54}{space 4} -.552382{col 67}{space 3} .9842483
{txt}c_treatful.. {c |}{col 14}{res}{space 2}-.9805334{col 26}{space 2}  .383535{col 37}{space 1}   -2.56{col 46}{space 3}0.012{col 54}{space 4}-1.738088{col 67}{space 3}-.2229793
{txt}c_treatful.. {c |}{col 14}{res}{space 2}  1.31571{col 26}{space 2} 1.370487{col 37}{space 1}    0.96{col 46}{space 3}0.339{col 54}{space 4}-1.391261{col 67}{space 3} 4.022682
{txt}c_treatful.. {c |}{col 14}{res}{space 2} .0864589{col 26}{space 2} .1584346{col 37}{space 1}    0.55{col 46}{space 3}0.586{col 54}{space 4}-.2264794{col 67}{space 3} .3993971
{txt}c_treatful.. {c |}{col 14}{res}{space 2}-.1162391{col 26}{space 2} .4257533{col 37}{space 1}   -0.27{col 46}{space 3}0.785{col 54}{space 4}-.9571825{col 67}{space 3} .7247042
{txt}{space 7}_cons {c |}{col 14}{res}{space 2}-.0874685{col 26}{space 2}    .0964{col 37}{space 1}   -0.91{col 46}{space 3}0.366{col 54}{space 4}-.2778767{col 67}{space 3} .1029397
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)
{p 0 6 2}note: b_hctrans_d omitted because of collinearity{p_end}
{res}
{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}       187
{txt}{col 49}F({res}  14{txt},{res}    157{txt}){col 67}= {res}      7.38
{txt}{col 49}Prob > F{col 67}= {res}    0.0000
{txt}{col 49}R-squared{col 67}= {res}    0.4930
{txt}{col 49}Adj R-squared{col 67}= {res}    0.3993
{txt}{col 49}Root MSE{col 67}= {res}    0.7779

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}   e_hctrans{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2} .0180981{col 26}{space 2} .1153144{col 37}{space 1}    0.16{col 46}{space 3}0.875{col 54}{space 4}-.2096696{col 67}{space 3} .2458659
{txt}{space 3}b_hctrans {c |}{col 14}{res}{space 2} .0998088{col 26}{space 2} .0894049{col 37}{space 1}    1.12{col 46}{space 3}0.266{col 54}{space 4}-.0767829{col 67}{space 3} .2764005
{txt}{space 1}b_hctrans_d {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
c_tf~_hc_hc2 {c |}{col 14}{res}{space 2}-.8528684{col 26}{space 2} .2671815{col 37}{space 1}   -3.19{col 46}{space 3}0.002{col 54}{space 4}-1.380602{col 67}{space 3}-.3251344
{txt}c_tfull_hc~l {c |}{col 14}{res}{space 2} .0834891{col 26}{space 2} .2219244{col 37}{space 1}    0.38{col 46}{space 3}0.707{col 54}{space 4}-.3548536{col 67}{space 3} .5218319
{txt}c_tfull_hc~s {c |}{col 14}{res}{space 2} .2443786{col 26}{space 2} .2496757{col 37}{space 1}    0.98{col 46}{space 3}0.329{col 54}{space 4}-.2487782{col 67}{space 3} .7375353
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2} .0066732{col 26}{space 2} .4439815{col 37}{space 1}    0.02{col 46}{space 3}0.988{col 54}{space 4}-.8702742{col 67}{space 3} .8836206
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2} .0093397{col 26}{space 2} .0892104{col 37}{space 1}    0.10{col 46}{space 3}0.917{col 54}{space 4}-.1668678{col 67}{space 3} .1855472
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2} .0100363{col 26}{space 2} .2653896{col 37}{space 1}    0.04{col 46}{space 3}0.970{col 54}{space 4}-.5141584{col 67}{space 3}  .534231
{txt}c_treatful.. {c |}{col 14}{res}{space 2} .0613159{col 26}{space 2}  .340662{col 37}{space 1}    0.18{col 46}{space 3}0.857{col 54}{space 4} -.611556{col 67}{space 3} .7341878
{txt}c_treatful.. {c |}{col 14}{res}{space 2} .6416735{col 26}{space 2} .2719769{col 37}{space 1}    2.36{col 46}{space 3}0.020{col 54}{space 4} .1044678{col 67}{space 3} 1.178879
{txt}c_treatful.. {c |}{col 14}{res}{space 2}-.1386805{col 26}{space 2} .3357545{col 37}{space 1}   -0.41{col 46}{space 3}0.680{col 54}{space 4}-.8018591{col 67}{space 3} .5244981
{txt}c_treatful.. {c |}{col 14}{res}{space 2}-2.326963{col 26}{space 2} 1.120629{col 37}{space 1}   -2.08{col 46}{space 3}0.039{col 54}{space 4}-4.540416{col 67}{space 3}-.1135089
{txt}c_treatful.. {c |}{col 14}{res}{space 2} .0335375{col 26}{space 2} .1272315{col 37}{space 1}    0.26{col 46}{space 3}0.792{col 54}{space 4}-.2177688{col 67}{space 3} .2848437
{txt}c_treatful.. {c |}{col 14}{res}{space 2} .3470308{col 26}{space 2} .3813023{col 37}{space 1}    0.91{col 46}{space 3}0.364{col 54}{space 4}-.4061135{col 67}{space 3} 1.100175
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} .0048447{col 26}{space 2} .0794429{col 37}{space 1}    0.06{col 46}{space 3}0.951{col 54}{space 4}-.1520701{col 67}{space 3} .1617595
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{com}.         
.         *****************************************
.         * Table Intermediate outcomes (Endline) *
.         *****************************************
.         
.         # delimit;
{txt}delimiter now ;
{com}.                 esttab m1 m6 m2 m3 m4 m7
>         using "${c -(}tables{c )-}/TableI32.tex", b(%5.3f) se(%5.3f)
>                 title(Intermediate outcomes PCA calcul: Averaged z-score indices)
>                 keep(`var' _cons)
>                 varlabels (`var' "Full treatment" _cons "Constant")     
>                 starlevels(* .10 ** .05 *** .01)                
>                 mtitles("\textbf{c -(}\begin{c -(}tabular{c )-}[c]{c -(}@{c -(}{c )-}c@{c -(}{c )-}{c )-}Citizen\\knowledge\end{c -(}tabular{c )-}{c )-}"
>                                 "\textbf{c -(}\begin{c -(}tabular{c )-}[c]{c -(}@{c -(}{c )-}c@{c -(}{c )-}{c )-}HC staff\\knowledge\end{c -(}tabular{c )-}{c )-}"
>                                 "\textbf{c -(}\begin{c -(}tabular{c )-}[c]{c -(}@{c -(}{c )-}c@{c -(}{c )-}{c )-}Efficacy\end{c -(}tabular{c )-}{c )-}"
>                                 "\textbf{c -(}\begin{c -(}tabular{c )-}[c]{c -(}@{c -(}{c )-}c@{c -(}{c )-}{c )-}Community\\responsibility\end{c -(}tabular{c )-}{c )-}"
>                                 "\textbf{c -(}\begin{c -(}tabular{c )-}[c]{c -(}@{c -(}{c )-}c@{c -(}{c )-}{c )-}Relationship\end{c -(}tabular{c )-}{c )-}"
>                                 "\textbf{c -(}\begin{c -(}tabular{c )-}[c]{c -(}@{c -(}{c )-}c@{c -(}{c )-}{c )-}HC\\transparency\end{c -(}tabular{c )-}{c )-}")
>                 stats(N r2, labels("N" "R$^{c -(}2{c )-}$") fmt(%9.0fc %9.3fc)) label booktabs nonotes replace
>         
>         ;
{res}{txt}(output written to {browse  `"/Users/fredericcochinard/Dropbox/ACT_Health_JOP_replication_file/3.Tables and Figures/Tables/TableI32.tex"'})

{com}.                 # delimit cr
{txt}delimiter now cr
{com}.         
.         ********************************************************************************************
.         * Table I34: Robustness checks – Main treatment quality outcomes with no HC subcomponentsl *
.         ********************************************************************************************
.         
.         * We load the dataset. This is the light version
.         
.         use "${c -(}usedata{c )-}/chp_el_light_dataset.dta", clear
{txt}
{com}.         
.         * In this part, we regress the outcomes over the full treatment vs control
.         
.         local var treatfull
{txt}
{com}.         
.         local indices urate_z treatqual_z treatqualalt_z patsat_z commtg_z
{txt}
{com}.         
.         local indices_hc h_ctzpressure_z mortrate_05
{txt}
{com}.         
.         * At endline:
.         
.         **************
.         * No control *
.         **************
.         
.         eststo clear
{txt}
{com}. 
.         foreach x in `indices' {c -(}
{txt}  2{com}.                 areg  e_`x' `var' b_`x' b_`x'_d, robust cl(hc_id) a(district)
{txt}  3{com}.                 local n_nocon_`x' = string(`e(N)',"%9.0fc")
{txt}  4{com}.                 local b_nocon_`x' = string(_b[treatfull],"%9.3fc")
{txt}  5{com}.                 local se_nocon_`x' =string(_se[treatfull],"%9.3fc")
{txt}  6{com}.                 local p_nocon_`x' = (2 * ttail(e(df_r), abs(_b[treatfull]/_se[treatfull])))
{txt}  7{com}.                         
.                 if `p_nocon_`x'' <= 0.1 & `p_nocon_`x'' > 0.05{c -(}
{txt}  8{com}.                         local b_nocon_`x' `b_nocon_`x''*
{txt}  9{com}.                 {c )-}
{txt} 10{com}.         
.                 if `p_nocon_`x'' <= 0.05 & `p_nocon_`x'' > 0.01{c -(}
{txt} 11{com}.                         local b_nocon_`x' `b_nocon_`x''**
{txt} 12{com}.                 {c )-}
{txt} 13{com}.                 
.                 if `p_nocon_`x'' <= 0.01 & `p_nocon_`x'' > 0 {c -(}
{txt} 14{com}.                         local b_nocon_`x' `b_nocon_`x''***
{txt} 15{com}.                 {c )-}
{txt} 16{com}.                 
.                 local csb_nocon_`x' = string(_b[_cons],"%9.3fc")
{txt} 17{com}.                 local csse_nocon_`x' =string(_se[_cons],"%9.3fc")
{txt} 18{com}.                 local p_nocon_`x' = (2 * ttail(e(df_r), abs(_b[_cons]/_se[_cons])))
{txt} 19{com}.                         
.                 if `p_nocon_`x'' <= 0.1 & `p_nocon_`x'' > 0.05{c -(}
{txt} 20{com}.                         local csb_nocon_`x' `csb_nocon_`x''*
{txt} 21{com}.                 {c )-}
{txt} 22{com}.         
.                 if `p_nocon_`x'' <= 0.05 & `p_nocon_`x'' > 0.01{c -(}
{txt} 23{com}.                         local csb_nocon_`x' `csb_nocon_`x''**
{txt} 24{com}.                 {c )-}
{txt} 25{com}.                 
.                 if `p_nocon_`x'' <= 0.01 & `p_nocon_`x'' > 0 {c -(}
{txt} 26{com}.                         local csb_nocon_`x' `csb_nocon_`x''***
{txt} 27{com}.                 {c )-}
{txt} 28{com}.                 
.                 {c )-}
{txt}note: b_urate_z_d omitted because of collinearity
{res}
{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}     7,288
{txt}{col 49}F({res}   2{txt},{res}    186{txt}){col 67}= {res}    315.30
{txt}{col 49}Prob > F{col 67}= {res}    0.0000
{txt}{col 49}R-squared{col 67}= {res}    0.2179
{txt}{col 49}Adj R-squared{col 67}= {res}    0.2161
{txt}{col 49}Root MSE{col 67}= {res}    0.6661

{txt}{ralign 78:(Std. Err. adjusted for {res:187} clusters in hc_id)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}   e_urate_z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2} .0339163{col 26}{space 2} .0233909{col 37}{space 1}    1.45{col 46}{space 3}0.149{col 54}{space 4}-.0122294{col 67}{space 3} .0800619
{txt}{space 3}b_urate_z {c |}{col 14}{res}{space 2} .3921224{col 26}{space 2} .0156162{col 37}{space 1}   25.11{col 46}{space 3}0.000{col 54}{space 4} .3613148{col 67}{space 3}   .42293
{txt}{space 1}b_urate_z_d {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 7}_cons {c |}{col 14}{res}{space 2}-.0223503{col 26}{space 2} .0169684{col 37}{space 1}   -1.32{col 46}{space 3}0.189{col 54}{space 4}-.0558255{col 67}{space 3} .0111249
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)
note: b_treatqual_z_d omitted because of collinearity
{res}
{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}     7,288
{txt}{col 49}F({res}   2{txt},{res}    186{txt}){col 67}= {res}     16.39
{txt}{col 49}Prob > F{col 67}= {res}    0.0000
{txt}{col 49}R-squared{col 67}= {res}    0.0891
{txt}{col 49}Adj R-squared{col 67}= {res}    0.0870
{txt}{col 49}Root MSE{col 67}= {res}    0.3537

{txt}{ralign 78:(Std. Err. adjusted for {res:187} clusters in hc_id)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}e_treatq~l_z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2} .0698008{col 26}{space 2} .0265616{col 37}{space 1}    2.63{col 46}{space 3}0.009{col 54}{space 4} .0174001{col 67}{space 3} .1222015
{txt}b_treatq~l_z {c |}{col 14}{res}{space 2} .1076893{col 26}{space 2}  .020532{col 37}{space 1}    5.24{col 46}{space 3}0.000{col 54}{space 4} .0671838{col 67}{space 3} .1481948
{txt}b_trea~l_z_d {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 7}_cons {c |}{col 14}{res}{space 2} .0005298{col 26}{space 2} .0205771{col 37}{space 1}    0.03{col 46}{space 3}0.979{col 54}{space 4}-.0400648{col 67}{space 3} .0411244
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)
note: b_treatqualalt_z_d omitted because of collinearity
{res}
{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}     7,288
{txt}{col 49}F({res}   2{txt},{res}    186{txt}){col 67}= {res}     13.42
{txt}{col 49}Prob > F{col 67}= {res}    0.0000
{txt}{col 49}R-squared{col 67}= {res}    0.0256
{txt}{col 49}Adj R-squared{col 67}= {res}    0.0233
{txt}{col 49}Root MSE{col 67}= {res}    0.4761

{txt}{ralign 78:(Std. Err. adjusted for {res:187} clusters in hc_id)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}e_treatq~t_z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2} .0380948{col 26}{space 2} .0197157{col 37}{space 1}    1.93{col 46}{space 3}0.055{col 54}{space 4}-.0008004{col 67}{space 3} .0769899
{txt}b_treatq~t_z {c |}{col 14}{res}{space 2} .0878195{col 26}{space 2} .0180237{col 37}{space 1}    4.87{col 46}{space 3}0.000{col 54}{space 4} .0522623{col 67}{space 3} .1233768
{txt}b_trea~t_z_d {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 7}_cons {c |}{col 14}{res}{space 2}-.0022099{col 26}{space 2} .0154798{col 37}{space 1}   -0.14{col 46}{space 3}0.887{col 54}{space 4}-.0327485{col 67}{space 3} .0283287
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)
note: b_patsat_z_d omitted because of collinearity
{res}
{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}     7,288
{txt}{col 49}F({res}   2{txt},{res}    186{txt}){col 67}= {res}     48.55
{txt}{col 49}Prob > F{col 67}= {res}    0.0000
{txt}{col 49}R-squared{col 67}= {res}    0.0364
{txt}{col 49}Adj R-squared{col 67}= {res}    0.0341
{txt}{col 49}Root MSE{col 67}= {res}    0.5876

{txt}{ralign 78:(Std. Err. adjusted for {res:187} clusters in hc_id)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}  e_patsat_z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2} .0750959{col 26}{space 2} .0247572{col 37}{space 1}    3.03{col 46}{space 3}0.003{col 54}{space 4}  .026255{col 67}{space 3} .1239369
{txt}{space 2}b_patsat_z {c |}{col 14}{res}{space 2} .1399747{col 26}{space 2} .0151667{col 37}{space 1}    9.23{col 46}{space 3}0.000{col 54}{space 4} .1100539{col 67}{space 3} .1698955
{txt}b_patsat_z_d {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 7}_cons {c |}{col 14}{res}{space 2}-.0012853{col 26}{space 2} .0181776{col 37}{space 1}   -0.07{col 46}{space 3}0.944{col 54}{space 4}-.0371461{col 67}{space 3} .0345756
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)
note: b_commtg_z_d omitted because of collinearity
{res}
{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}     7,288
{txt}{col 49}F({res}   2{txt},{res}    186{txt}){col 67}= {res}     17.20
{txt}{col 49}Prob > F{col 67}= {res}    0.0000
{txt}{col 49}R-squared{col 67}= {res}    0.0857
{txt}{col 49}Adj R-squared{col 67}= {res}    0.0835
{txt}{col 49}Root MSE{col 67}= {res}    0.5618

{txt}{ralign 78:(Std. Err. adjusted for {res:187} clusters in hc_id)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}  e_commtg_z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2} .0063383{col 26}{space 2} .0284015{col 37}{space 1}    0.22{col 46}{space 3}0.824{col 54}{space 4}-.0496922{col 67}{space 3} .0623689
{txt}{space 2}b_commtg_z {c |}{col 14}{res}{space 2} .0794436{col 26}{space 2} .0136718{col 37}{space 1}    5.81{col 46}{space 3}0.000{col 54}{space 4}  .052472{col 67}{space 3} .1064153
{txt}b_commtg_z_d {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 7}_cons {c |}{col 14}{res}{space 2}  .003077{col 26}{space 2} .0189974{col 37}{space 1}    0.16{col 46}{space 3}0.872{col 54}{space 4}-.0344012{col 67}{space 3} .0405552
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{com}.         
.         * We include child mortality indicator at hc level
.         
.         foreach x in `indices_hc' {c -(}
{txt}  2{com}.                 areg  e_`x' `var' b_`x' if uniquehc == 1, robust a(district)
{txt}  3{com}.                 local n_nocon_`x' = string(`e(N)',"%9.0fc")
{txt}  4{com}.                 local b_nocon_`x' = string(_b[treatfull],"%9.3fc")
{txt}  5{com}.                 local se_nocon_`x' =string(_se[treatfull],"%9.3fc")
{txt}  6{com}.                 local p_nocon_`x' = (2 * ttail(e(df_r), abs(_b[treatfull]/_se[treatfull])))
{txt}  7{com}.                         
.                 if `p_nocon_`x'' <= 0.1 & `p_nocon_`x'' > 0.05{c -(}
{txt}  8{com}.                         local b_nocon_`x' `b_nocon_`x''*
{txt}  9{com}.                 {c )-}
{txt} 10{com}.         
.                 if `p_nocon_`x'' <= 0.05 & `p_nocon_`x'' > 0.01{c -(}
{txt} 11{com}.                         local b_nocon_`x' `b_nocon_`x''**
{txt} 12{com}.                 {c )-}
{txt} 13{com}.                 
.                 if `p_nocon_`x'' <= 0.01 & `p_nocon_`x'' > 0 {c -(}
{txt} 14{com}.                         local b_nocon_`x' `b_nocon_`x''***
{txt} 15{com}.                 {c )-}
{txt} 16{com}.                 
.                 local csb_nocon_`x' = string(_b[_cons],"%9.3fc")
{txt} 17{com}.                 local csse_nocon_`x' =string(_se[_cons],"%9.3fc")
{txt} 18{com}.                 local p_nocon_`x' = (2 * ttail(e(df_r), abs(_b[_cons]/_se[_cons])))
{txt} 19{com}.                         
.                 if `p_nocon_`x'' <= 0.1 & `p_nocon_`x'' > 0.05{c -(}
{txt} 20{com}.                         local csb_nocon_`x' `csb_nocon_`x''*
{txt} 21{com}.                 {c )-}
{txt} 22{com}.         
.                 if `p_nocon_`x'' <= 0.05 & `p_nocon_`x'' > 0.01{c -(}
{txt} 23{com}.                         local csb_nocon_`x' `csb_nocon_`x''**
{txt} 24{com}.                 {c )-}
{txt} 25{com}.                 
.                 if `p_nocon_`x'' <= 0.01 & `p_nocon_`x'' > 0 {c -(}
{txt} 26{com}.                         local csb_nocon_`x' `csb_nocon_`x''***
{txt} 27{com}.                 {c )-}
{txt} 28{com}.                 
.                 {c )-}
{res}
{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}       187
{txt}{col 49}F({res}   2{txt},{res}    169{txt}){col 67}= {res}      0.96
{txt}{col 49}Prob > F{col 67}= {res}    0.3862
{txt}{col 49}R-squared{col 67}= {res}    0.0633
{txt}{col 49}Adj R-squared{col 67}= {res}   -0.0309
{txt}{col 49}Root MSE{col 67}= {res}    0.6993

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}e_h_ctzpre~z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2}-.1305759{col 26}{space 2} .1046366{col 37}{space 1}   -1.25{col 46}{space 3}0.214{col 54}{space 4} -.337139{col 67}{space 3} .0759873
{txt}b_h_ctzpre~z {c |}{col 14}{res}{space 2} .0090915{col 26}{space 2} .0602783{col 37}{space 1}    0.15{col 46}{space 3}0.880{col 54}{space 4} -.109904{col 67}{space 3}  .128087
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} .0113694{col 26}{space 2} .0699469{col 37}{space 1}    0.16{col 46}{space 3}0.871{col 54}{space 4}-.1267129{col 67}{space 3} .1494517
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)
{res}
{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}       187
{txt}{col 49}F({res}   2{txt},{res}    169{txt}){col 67}= {res}      1.23
{txt}{col 49}Prob > F{col 67}= {res}    0.2960
{txt}{col 49}R-squared{col 67}= {res}    0.1382
{txt}{col 49}Adj R-squared{col 67}= {res}    0.0515
{txt}{col 49}Root MSE{col 67}= {res}    0.0534

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}e_mortrat~05{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2} -.010056{col 26}{space 2}  .007858{col 37}{space 1}   -1.28{col 46}{space 3}0.202{col 54}{space 4}-.0255684{col 67}{space 3} .0054564
{txt}b_mortrat~05 {c |}{col 14}{res}{space 2} .0631882{col 26}{space 2} .0620253{col 37}{space 1}    1.02{col 46}{space 3}0.310{col 54}{space 4} -.059256{col 67}{space 3} .1856325
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} .0608547{col 26}{space 2} .0061404{col 37}{space 1}    9.91{col 46}{space 3}0.000{col 54}{space 4} .0487329{col 67}{space 3} .0729765
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{com}.                 
.         *********
.         * No FE *
.         *********
.         
.         * We define the control variable
.         
.         local  e_controls_noprefix hc2 b_h_del b_h_staff_houses b_visited_d educyr b_assetindex
{txt}
{com}.                 
.         foreach x in e_ {c -(}
{txt}  2{com}.         
.                 local `x'controls_tfull
{txt}  3{com}.                 local `x'controls_tfull_hc
{txt}  4{com}.                 
.                 {c )-}
{txt}
{com}.                 
.         foreach x in e_ {c -(}
{txt}  2{com}.                 foreach var in treatfull {c -(}
{txt}  3{com}.                         local `var'_int_`x'controls
{txt}  4{com}.                         local `var'_hc_int_`x'controls
{txt}  5{com}.                         {c )-}
{txt}  6{com}.                 {c )-}
{txt}
{com}.                 
.         foreach var of local e_controls_noprefix {c -(}
{txt}  2{com}.                 local e_controls_tfull `e_controls_tfull' c_tfull_`var'
{txt}  3{com}.                 local e_controls_tfull_hc `e_controls_tfull_hc' c_tfull_hc_`var'
{txt}  4{com}.                 {c )-}       
{txt}
{com}.                                 
.         foreach treat in treatfull {c -(}
{txt}  2{com}.                 foreach var of local e_controls_noprefix {c -(}
{txt}  3{com}.                         local `treat'_int_e_controls ``treat'_int_e_controls' c_`treat'_`var'
{txt}  4{com}.                         local `treat'_hc_int_e_controls ``treat'_hc_int_e_controls' c_`treat'_hc_`var'
{txt}  5{com}.                         {c )-}
{txt}  6{com}.                 {c )-}
{txt}
{com}.         
.         
.         eststo clear
{txt}
{com}.         
.         local var treatfull
{txt}
{com}.         
.         foreach x in `indices' {c -(}
{txt}  2{com}.                 reg  e_`x' `var' b_`x' b_`x'_d `e_controls_tfull' ``var'_int_e_controls', cl(hc_id) robust
{txt}  3{com}.                 local n_nofe_`x' = string(`e(N)',"%9.0fc")
{txt}  4{com}.                 local b_nofe_`x' = string(_b[treatfull],"%9.3fc")
{txt}  5{com}.                 local se_nofe_`x' =string(_se[treatfull],"%9.3fc")
{txt}  6{com}.                 local p_nofe_`x' = (2 * ttail(e(df_r), abs(_b[treatfull]/_se[treatfull])))
{txt}  7{com}.                         
.                 if `p_nofe_`x'' <= 0.1 & `p_nofe_`x'' > 0.05{c -(}
{txt}  8{com}.                         local b_nofe_`x' `b_nofe_`x''*
{txt}  9{com}.                 {c )-}
{txt} 10{com}.         
.                 if `p_nofe_`x'' <= 0.05 & `p_nofe_`x'' > 0.01{c -(}
{txt} 11{com}.                         local b_nofe_`x' `b_nofe_`x''**
{txt} 12{com}.                 {c )-}
{txt} 13{com}.                 
.                 if `p_nofe_`x'' <= 0.01 & `p_nofe_`x'' > 0 {c -(}
{txt} 14{com}.                         local b_nofe_`x' `b_nofe_`x''***
{txt} 15{com}.                 {c )-}
{txt} 16{com}.                 
.                 local csb_nofe_`x' = string(_b[_cons],"%9.3fc")
{txt} 17{com}.                 local csse_nofe_`x' =string(_se[_cons],"%9.3fc")
{txt} 18{com}.                 local p_nofe_`x' = (2 * ttail(e(df_r), abs(_b[_cons]/_se[_cons])))
{txt} 19{com}.                         
.                 if `p_nofe_`x'' <= 0.1 & `p_nofe_`x'' > 0.05{c -(}
{txt} 20{com}.                         local csb_nofe_`x' `csb_nofe_`x''*
{txt} 21{com}.                 {c )-}
{txt} 22{com}.         
.                 if `p_nofe_`x'' <= 0.05 & `p_nofe_`x'' > 0.01{c -(}
{txt} 23{com}.                         local csb_nofe_`x' `csb_nofe_`x''**
{txt} 24{com}.                 {c )-}
{txt} 25{com}.                 
.                 if `p_nofe_`x'' <= 0.01 & `p_nofe_`x'' > 0 {c -(}
{txt} 26{com}.                         local csb_nofe_`x' `csb_nofe_`x''***
{txt} 27{com}.                 {c )-}
{txt} 28{com}.                 
.                 {c )-}
{txt}note: b_urate_z_d omitted because of collinearity

Linear regression                               Number of obs     = {res}     7,288
                                                {txt}F(14, 186)        =  {res}    87.65
                                                {txt}Prob > F          = {res}    0.0000
                                                {txt}R-squared         = {res}    0.1954
                                                {txt}Root MSE          =    {res}  .6755

{txt}{ralign 78:(Std. Err. adjusted for {res:187} clusters in hc_id)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}   e_urate_z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2} .0133446{col 26}{space 2} .0283659{col 37}{space 1}    0.47{col 46}{space 3}0.639{col 54}{space 4}-.0426156{col 67}{space 3} .0693048
{txt}{space 3}b_urate_z {c |}{col 14}{res}{space 2} .4016953{col 26}{space 2} .0153558{col 37}{space 1}   26.16{col 46}{space 3}0.000{col 54}{space 4} .3714014{col 67}{space 3} .4319892
{txt}{space 1}b_urate_z_d {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 1}c_tfull_hc2 {c |}{col 14}{res}{space 2}  .016423{col 26}{space 2} .0475595{col 37}{space 1}    0.35{col 46}{space 3}0.730{col 54}{space 4}-.0774024{col 67}{space 3} .1102483
{txt}c_tfull_b_~l {c |}{col 14}{res}{space 2}-.0222377{col 26}{space 2} .0546384{col 37}{space 1}   -0.41{col 46}{space 3}0.684{col 54}{space 4}-.1300283{col 67}{space 3} .0855528
{txt}c_tfull_b_~s {c |}{col 14}{res}{space 2} .1307976{col 26}{space 2} .0569363{col 37}{space 1}    2.30{col 46}{space 3}0.023{col 54}{space 4} .0184736{col 67}{space 3} .2431216
{txt}c_tfull_b_~d {c |}{col 14}{res}{space 2} .1706088{col 26}{space 2} .0621032{col 37}{space 1}    2.75{col 46}{space 3}0.007{col 54}{space 4} .0480916{col 67}{space 3}  .293126
{txt}c_tfull_ed~r {c |}{col 14}{res}{space 2}-.0124384{col 26}{space 2} .0029176{col 37}{space 1}   -4.26{col 46}{space 3}0.000{col 54}{space 4}-.0181942{col 67}{space 3}-.0066826
{txt}c_tfull_b_~x {c |}{col 14}{res}{space 2}-.0666697{col 26}{space 2} .0129539{col 37}{space 1}   -5.15{col 46}{space 3}0.000{col 54}{space 4}-.0922251{col 67}{space 3}-.0411143
{txt}c_trea~l_hc2 {c |}{col 14}{res}{space 2}-.0130382{col 26}{space 2} .0670687{col 37}{space 1}   -0.19{col 46}{space 3}0.846{col 54}{space 4}-.1453514{col 67}{space 3}  .119275
{txt}c_treatful.. {c |}{col 14}{res}{space 2} .0410045{col 26}{space 2} .0766698{col 37}{space 1}    0.53{col 46}{space 3}0.593{col 54}{space 4}-.1102497{col 67}{space 3} .1922587
{txt}c_treatful.. {c |}{col 14}{res}{space 2}-.1476137{col 26}{space 2} .0866675{col 37}{space 1}   -1.70{col 46}{space 3}0.090{col 54}{space 4}-.3185914{col 67}{space 3}  .023364
{txt}c_treatful.. {c |}{col 14}{res}{space 2}-.0272683{col 26}{space 2} .0839052{col 37}{space 1}   -0.32{col 46}{space 3}0.746{col 54}{space 4}-.1927966{col 67}{space 3}   .13826
{txt}c_treatful.. {c |}{col 14}{res}{space 2} .0036814{col 26}{space 2} .0043621{col 37}{space 1}    0.84{col 46}{space 3}0.400{col 54}{space 4}-.0049242{col 67}{space 3}  .012287
{txt}c_treatful.. {c |}{col 14}{res}{space 2}-.0204203{col 26}{space 2} .0194647{col 37}{space 1}   -1.05{col 46}{space 3}0.295{col 54}{space 4}-.0588201{col 67}{space 3} .0179796
{txt}{space 7}_cons {c |}{col 14}{res}{space 2}-.0115917{col 26}{space 2} .0196577{col 37}{space 1}   -0.59{col 46}{space 3}0.556{col 54}{space 4}-.0503723{col 67}{space 3}  .027189
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}note: b_treatqual_z_d omitted because of collinearity

Linear regression                               Number of obs     = {res}     7,288
                                                {txt}F(14, 186)        =  {res}     5.18
                                                {txt}Prob > F          = {res}    0.0000
                                                {txt}R-squared         = {res}    0.0388
                                                {txt}Root MSE          =    {res} .36325

{txt}{ralign 78:(Std. Err. adjusted for {res:187} clusters in hc_id)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}e_treatq~l_z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2} .0636083{col 26}{space 2}  .029114{col 37}{space 1}    2.18{col 46}{space 3}0.030{col 54}{space 4} .0061721{col 67}{space 3} .1210445
{txt}b_treatq~l_z {c |}{col 14}{res}{space 2} .1263384{col 26}{space 2} .0234769{col 37}{space 1}    5.38{col 46}{space 3}0.000{col 54}{space 4} .0800232{col 67}{space 3} .1726536
{txt}b_trea~l_z_d {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 1}c_tfull_hc2 {c |}{col 14}{res}{space 2}-.0594593{col 26}{space 2} .0578827{col 37}{space 1}   -1.03{col 46}{space 3}0.306{col 54}{space 4}-.1736504{col 67}{space 3} .0547317
{txt}c_tfull_b_~l {c |}{col 14}{res}{space 2}-.0434619{col 26}{space 2} .0674969{col 37}{space 1}   -0.64{col 46}{space 3}0.520{col 54}{space 4}-.1766198{col 67}{space 3} .0896961
{txt}c_tfull_b_~s {c |}{col 14}{res}{space 2} .0830658{col 26}{space 2} .0649611{col 37}{space 1}    1.28{col 46}{space 3}0.203{col 54}{space 4}-.0450895{col 67}{space 3} .2112212
{txt}c_tfull_b_~d {c |}{col 14}{res}{space 2} .0265111{col 26}{space 2} .0280351{col 37}{space 1}    0.95{col 46}{space 3}0.346{col 54}{space 4}-.0287966{col 67}{space 3} .0818188
{txt}c_tfull_ed~r {c |}{col 14}{res}{space 2}-.0036489{col 26}{space 2} .0017509{col 37}{space 1}   -2.08{col 46}{space 3}0.039{col 54}{space 4}-.0071031{col 67}{space 3}-.0001947
{txt}c_tfull_b_~x {c |}{col 14}{res}{space 2}-.0037944{col 26}{space 2}  .010154{col 37}{space 1}   -0.37{col 46}{space 3}0.709{col 54}{space 4}-.0238262{col 67}{space 3} .0162374
{txt}c_trea~l_hc2 {c |}{col 14}{res}{space 2} .0766078{col 26}{space 2} .0690186{col 37}{space 1}    1.11{col 46}{space 3}0.268{col 54}{space 4} -.059552{col 67}{space 3} .2127677
{txt}c_treatful.. {c |}{col 14}{res}{space 2} .0979757{col 26}{space 2} .0777203{col 37}{space 1}    1.26{col 46}{space 3}0.209{col 54}{space 4}-.0553509{col 67}{space 3} .2513023
{txt}c_treatful.. {c |}{col 14}{res}{space 2} -.109247{col 26}{space 2} .0808693{col 37}{space 1}   -1.35{col 46}{space 3}0.178{col 54}{space 4}-.2687858{col 67}{space 3} .0502919
{txt}c_treatful.. {c |}{col 14}{res}{space 2} .0304691{col 26}{space 2} .0372687{col 37}{space 1}    0.82{col 46}{space 3}0.415{col 54}{space 4}-.0430545{col 67}{space 3} .1039927
{txt}c_treatful.. {c |}{col 14}{res}{space 2} .0024249{col 26}{space 2} .0024229{col 37}{space 1}    1.00{col 46}{space 3}0.318{col 54}{space 4}-.0023551{col 67}{space 3} .0072049
{txt}c_treatful.. {c |}{col 14}{res}{space 2}-.0241935{col 26}{space 2} .0132845{col 37}{space 1}   -1.82{col 46}{space 3}0.070{col 54}{space 4}-.0504011{col 67}{space 3} .0020141
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} .0029625{col 26}{space 2}   .02346{col 37}{space 1}    0.13{col 46}{space 3}0.900{col 54}{space 4}-.0433193{col 67}{space 3} .0492443
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}note: b_treatqualalt_z_d omitted because of collinearity

Linear regression                               Number of obs     = {res}     7,288
                                                {txt}F(14, 186)        =  {res}     4.36
                                                {txt}Prob > F          = {res}    0.0000
                                                {txt}R-squared         = {res}    0.0186
                                                {txt}Root MSE          =    {res} .47767

{txt}{ralign 78:(Std. Err. adjusted for {res:187} clusters in hc_id)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}e_treatq~t_z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2} .0358092{col 26}{space 2} .0203757{col 37}{space 1}    1.76{col 46}{space 3}0.080{col 54}{space 4} -.004388{col 67}{space 3} .0760064
{txt}b_treatq~t_z {c |}{col 14}{res}{space 2} .0818395{col 26}{space 2} .0182661{col 37}{space 1}    4.48{col 46}{space 3}0.000{col 54}{space 4} .0458042{col 67}{space 3} .1178748
{txt}b_trea~t_z_d {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 1}c_tfull_hc2 {c |}{col 14}{res}{space 2}-.0690167{col 26}{space 2} .0398564{col 37}{space 1}   -1.73{col 46}{space 3}0.085{col 54}{space 4}-.1476454{col 67}{space 3} .0096119
{txt}c_tfull_b_~l {c |}{col 14}{res}{space 2} .0365296{col 26}{space 2} .0439415{col 37}{space 1}    0.83{col 46}{space 3}0.407{col 54}{space 4}-.0501582{col 67}{space 3} .1232174
{txt}c_tfull_b_~s {c |}{col 14}{res}{space 2}-.0251161{col 26}{space 2} .0462222{col 37}{space 1}   -0.54{col 46}{space 3}0.588{col 54}{space 4}-.1163033{col 67}{space 3} .0660712
{txt}c_tfull_b_~d {c |}{col 14}{res}{space 2} -.005328{col 26}{space 2}  .028005{col 37}{space 1}   -0.19{col 46}{space 3}0.849{col 54}{space 4}-.0605762{col 67}{space 3} .0499202
{txt}c_tfull_ed~r {c |}{col 14}{res}{space 2} -.002479{col 26}{space 2} .0019475{col 37}{space 1}   -1.27{col 46}{space 3}0.205{col 54}{space 4}-.0063211{col 67}{space 3}  .001363
{txt}c_tfull_b_~x {c |}{col 14}{res}{space 2}-.0280557{col 26}{space 2} .0116975{col 37}{space 1}   -2.40{col 46}{space 3}0.017{col 54}{space 4}-.0511325{col 67}{space 3}-.0049789
{txt}c_trea~l_hc2 {c |}{col 14}{res}{space 2} .0704944{col 26}{space 2} .0488824{col 37}{space 1}    1.44{col 46}{space 3}0.151{col 54}{space 4}-.0259407{col 67}{space 3} .1669296
{txt}c_treatful.. {c |}{col 14}{res}{space 2} .0078438{col 26}{space 2} .0535387{col 37}{space 1}    0.15{col 46}{space 3}0.884{col 54}{space 4}-.0977773{col 67}{space 3}  .113465
{txt}c_treatful.. {c |}{col 14}{res}{space 2} -.012697{col 26}{space 2}  .059208{col 37}{space 1}   -0.21{col 46}{space 3}0.830{col 54}{space 4}-.1295026{col 67}{space 3} .1041086
{txt}c_treatful.. {c |}{col 14}{res}{space 2} .0630962{col 26}{space 2}   .03885{col 37}{space 1}    1.62{col 46}{space 3}0.106{col 54}{space 4}-.0135472{col 67}{space 3} .1397396
{txt}c_treatful.. {c |}{col 14}{res}{space 2} .0027223{col 26}{space 2} .0028605{col 37}{space 1}    0.95{col 46}{space 3}0.342{col 54}{space 4}-.0029209{col 67}{space 3} .0083654
{txt}c_treatful.. {c |}{col 14}{res}{space 2}-.0064367{col 26}{space 2} .0147948{col 37}{space 1}   -0.44{col 46}{space 3}0.664{col 54}{space 4}-.0356239{col 67}{space 3} .0227505
{txt}{space 7}_cons {c |}{col 14}{res}{space 2}-.0016671{col 26}{space 2} .0157638{col 37}{space 1}   -0.11{col 46}{space 3}0.916{col 54}{space 4} -.032766{col 67}{space 3} .0294318
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}note: b_patsat_z_d omitted because of collinearity

Linear regression                               Number of obs     = {res}     7,288
                                                {txt}F(14, 186)        =  {res}     9.15
                                                {txt}Prob > F          = {res}    0.0000
                                                {txt}R-squared         = {res}    0.0347
                                                {txt}Root MSE          =    {res} .58802

{txt}{ralign 78:(Std. Err. adjusted for {res:187} clusters in hc_id)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}  e_patsat_z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2} .0747031{col 26}{space 2} .0247312{col 37}{space 1}    3.02{col 46}{space 3}0.003{col 54}{space 4} .0259134{col 67}{space 3} .1234928
{txt}{space 2}b_patsat_z {c |}{col 14}{res}{space 2} .1448535{col 26}{space 2} .0154491{col 37}{space 1}    9.38{col 46}{space 3}0.000{col 54}{space 4} .1143756{col 67}{space 3} .1753314
{txt}b_patsat_z_d {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 1}c_tfull_hc2 {c |}{col 14}{res}{space 2}-.0060865{col 26}{space 2} .0390965{col 37}{space 1}   -0.16{col 46}{space 3}0.876{col 54}{space 4}-.0832162{col 67}{space 3} .0710431
{txt}c_tfull_b_~l {c |}{col 14}{res}{space 2}  .073556{col 26}{space 2} .0434946{col 37}{space 1}    1.69{col 46}{space 3}0.092{col 54}{space 4}-.0122501{col 67}{space 3} .1593621
{txt}c_tfull_b_~s {c |}{col 14}{res}{space 2}-.0076101{col 26}{space 2}  .054396{col 37}{space 1}   -0.14{col 46}{space 3}0.889{col 54}{space 4}-.1149225{col 67}{space 3} .0997023
{txt}c_tfull_b_~d {c |}{col 14}{res}{space 2} .0239725{col 26}{space 2} .0440886{col 37}{space 1}    0.54{col 46}{space 3}0.587{col 54}{space 4}-.0630055{col 67}{space 3} .1109504
{txt}c_tfull_ed~r {c |}{col 14}{res}{space 2} .0019369{col 26}{space 2}  .002761{col 37}{space 1}    0.70{col 46}{space 3}0.484{col 54}{space 4}  -.00351{col 67}{space 3} .0073837
{txt}c_tfull_b_~x {c |}{col 14}{res}{space 2} .0090761{col 26}{space 2} .0100571{col 37}{space 1}    0.90{col 46}{space 3}0.368{col 54}{space 4}-.0107645{col 67}{space 3} .0289166
{txt}c_trea~l_hc2 {c |}{col 14}{res}{space 2} -.092212{col 26}{space 2} .0571882{col 37}{space 1}   -1.61{col 46}{space 3}0.109{col 54}{space 4}-.2050328{col 67}{space 3} .0206088
{txt}c_treatful.. {c |}{col 14}{res}{space 2}-.1301918{col 26}{space 2} .0652526{col 37}{space 1}   -2.00{col 46}{space 3}0.047{col 54}{space 4} -.258922{col 67}{space 3}-.0014615
{txt}c_treatful.. {c |}{col 14}{res}{space 2}-.0239855{col 26}{space 2} .0761696{col 37}{space 1}   -0.31{col 46}{space 3}0.753{col 54}{space 4} -.174253{col 67}{space 3} .1262819
{txt}c_treatful.. {c |}{col 14}{res}{space 2}-.0296912{col 26}{space 2} .0519448{col 37}{space 1}   -0.57{col 46}{space 3}0.568{col 54}{space 4} -.132168{col 67}{space 3} .0727855
{txt}c_treatful.. {c |}{col 14}{res}{space 2} .0025937{col 26}{space 2} .0036565{col 37}{space 1}    0.71{col 46}{space 3}0.479{col 54}{space 4}-.0046198{col 67}{space 3} .0098071
{txt}c_treatful.. {c |}{col 14}{res}{space 2}-.0263485{col 26}{space 2} .0151452{col 37}{space 1}   -1.74{col 46}{space 3}0.084{col 54}{space 4}-.0562269{col 67}{space 3} .0035299
{txt}{space 7}_cons {c |}{col 14}{res}{space 2}-.0008576{col 26}{space 2} .0176464{col 37}{space 1}   -0.05{col 46}{space 3}0.961{col 54}{space 4}-.0356703{col 67}{space 3} .0339552
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}note: b_commtg_z_d omitted because of collinearity

Linear regression                               Number of obs     = {res}     7,288
                                                {txt}F(14, 186)        =  {res}     7.10
                                                {txt}Prob > F          = {res}    0.0000
                                                {txt}R-squared         = {res}    0.0251
                                                {txt}Root MSE          =    {res} .58001

{txt}{ralign 78:(Std. Err. adjusted for {res:187} clusters in hc_id)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}  e_commtg_z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2}  .009784{col 26}{space 2} .0362257{col 37}{space 1}    0.27{col 46}{space 3}0.787{col 54}{space 4} -.061682{col 67}{space 3}   .08125
{txt}{space 2}b_commtg_z {c |}{col 14}{res}{space 2} .0785279{col 26}{space 2} .0150756{col 37}{space 1}    5.21{col 46}{space 3}0.000{col 54}{space 4} .0487867{col 67}{space 3} .1082691
{txt}b_commtg_z_d {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 1}c_tfull_hc2 {c |}{col 14}{res}{space 2} .0660259{col 26}{space 2} .0510986{col 37}{space 1}    1.29{col 46}{space 3}0.198{col 54}{space 4}-.0347814{col 67}{space 3} .1668332
{txt}c_tfull_b_~l {c |}{col 14}{res}{space 2}-.0283243{col 26}{space 2} .0843795{col 37}{space 1}   -0.34{col 46}{space 3}0.737{col 54}{space 4}-.1947881{col 67}{space 3} .1381395
{txt}c_tfull_b_~s {c |}{col 14}{res}{space 2}-.0111736{col 26}{space 2} .0955921{col 37}{space 1}   -0.12{col 46}{space 3}0.907{col 54}{space 4}-.1997577{col 67}{space 3} .1774105
{txt}c_tfull_b_~d {c |}{col 14}{res}{space 2} .1011285{col 26}{space 2} .0401371{col 37}{space 1}    2.52{col 46}{space 3}0.013{col 54}{space 4}  .021946{col 67}{space 3}  .180311
{txt}c_tfull_ed~r {c |}{col 14}{res}{space 2} .0030324{col 26}{space 2} .0026499{col 37}{space 1}    1.14{col 46}{space 3}0.254{col 54}{space 4}-.0021954{col 67}{space 3} .0082602
{txt}c_tfull_b_~x {c |}{col 14}{res}{space 2} .0316092{col 26}{space 2} .0128295{col 37}{space 1}    2.46{col 46}{space 3}0.015{col 54}{space 4} .0062991{col 67}{space 3} .0569193
{txt}c_trea~l_hc2 {c |}{col 14}{res}{space 2} .0689254{col 26}{space 2} .0724271{col 37}{space 1}    0.95{col 46}{space 3}0.343{col 54}{space 4}-.0739588{col 67}{space 3} .2118097
{txt}c_treatful.. {c |}{col 14}{res}{space 2} .1328463{col 26}{space 2} .1014683{col 37}{space 1}    1.31{col 46}{space 3}0.192{col 54}{space 4}-.0673304{col 67}{space 3}  .333023
{txt}c_treatful.. {c |}{col 14}{res}{space 2} .0507182{col 26}{space 2} .1158762{col 37}{space 1}    0.44{col 46}{space 3}0.662{col 54}{space 4}-.1778824{col 67}{space 3} .2793188
{txt}c_treatful.. {c |}{col 14}{res}{space 2} .0930891{col 26}{space 2} .0628814{col 37}{space 1}    1.48{col 46}{space 3}0.140{col 54}{space 4}-.0309634{col 67}{space 3} .2171415
{txt}c_treatful.. {c |}{col 14}{res}{space 2}-.0005644{col 26}{space 2}  .003776{col 37}{space 1}   -0.15{col 46}{space 3}0.881{col 54}{space 4}-.0080138{col 67}{space 3} .0068849
{txt}c_treatful.. {c |}{col 14}{res}{space 2} .0008393{col 26}{space 2} .0194327{col 37}{space 1}    0.04{col 46}{space 3}0.966{col 54}{space 4}-.0374976{col 67}{space 3} .0391762
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} .0013554{col 26}{space 2} .0256853{col 37}{space 1}    0.05{col 46}{space 3}0.958{col 54}{space 4}-.0493166{col 67}{space 3} .0520274
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}.                 
.         foreach x in `indices_hc' {c -(}
{txt}  2{com}.                 reg  e_`x' `var' b_`x' `e_controls_tfull_hc' ``var'_hc_int_e_controls' if uniquehc == 1, robust
{txt}  3{com}.                 local n_nofe_`x' = string(`e(N)',"%9.0fc")
{txt}  4{com}.                 local b_nofe_`x' = string(_b[treatfull],"%9.3fc")
{txt}  5{com}.                 local se_nofe_`x' =string(_se[treatfull],"%9.3fc")
{txt}  6{com}.                 local p_nofe_`x' = (2 * ttail(e(df_r), abs(_b[treatfull]/_se[treatfull])))
{txt}  7{com}.                         
.                 if `p_nofe_`x'' <= 0.1 & `p_nofe_`x'' > 0.05{c -(}
{txt}  8{com}.                         local b_nofe_`x' `b_nofe_`x''*
{txt}  9{com}.                 {c )-}
{txt} 10{com}.         
.                 if `p_nofe_`x'' <= 0.05 & `p_nofe_`x'' > 0.01{c -(}
{txt} 11{com}.                         local b_nofe_`x' `b_nofe_`x''**
{txt} 12{com}.                 {c )-}
{txt} 13{com}.                 
.                 if `p_nofe_`x'' <= 0.01 & `p_nofe_`x'' > 0 {c -(}
{txt} 14{com}.                         local b_nofe_`x' `b_nofe_`x''***
{txt} 15{com}.                 {c )-}
{txt} 16{com}.                 
.                 local csb_nofe_`x' = string(_b[_cons],"%9.3fc")
{txt} 17{com}.                 local csse_nofe_`x' =string(_se[_cons],"%9.3fc")
{txt} 18{com}.                 local p_nofe_`x' = (2 * ttail(e(df_r), abs(_b[_cons]/_se[_cons])))
{txt} 19{com}.                         
.                 if `p_nofe_`x'' <= 0.1 & `p_nofe_`x'' > 0.05{c -(}
{txt} 20{com}.                         local csb_nofe_`x' `csb_nofe_`x''*
{txt} 21{com}.                 {c )-}
{txt} 22{com}.         
.                 if `p_nofe_`x'' <= 0.05 & `p_nofe_`x'' > 0.01{c -(}
{txt} 23{com}.                         local csb_nofe_`x' `csb_nofe_`x''**
{txt} 24{com}.                 {c )-}
{txt} 25{com}.                 
.                 if `p_nofe_`x'' <= 0.01 & `p_nofe_`x'' > 0 {c -(}
{txt} 26{com}.                         local csb_nofe_`x' `csb_nofe_`x''***
{txt} 27{com}.                 {c )-}
{txt} 28{com}.                 
.                 {c )-}

{txt}Linear regression                               Number of obs     = {res}       187
                                                {txt}F(14, 172)        =  {res}     1.12
                                                {txt}Prob > F          = {res}    0.3426
                                                {txt}R-squared         = {res}    0.0721
                                                {txt}Root MSE          =    {res} .68998

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}e_h_ctzpre~z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2}-.1196894{col 26}{space 2} .0997421{col 37}{space 1}   -1.20{col 46}{space 3}0.232{col 54}{space 4}-.3165654{col 67}{space 3} .0771867
{txt}b_h_ctzpre~z {c |}{col 14}{res}{space 2}  .025766{col 26}{space 2} .0626846{col 37}{space 1}    0.41{col 46}{space 3}0.682{col 54}{space 4} -.097964{col 67}{space 3} .1494961
{txt}c_tf~_hc_hc2 {c |}{col 14}{res}{space 2} -.153949{col 26}{space 2} .1351004{col 37}{space 1}   -1.14{col 46}{space 3}0.256{col 54}{space 4}-.4206172{col 67}{space 3} .1127192
{txt}c_tfull_hc~l {c |}{col 14}{res}{space 2}-.0140158{col 26}{space 2} .1330718{col 37}{space 1}   -0.11{col 46}{space 3}0.916{col 54}{space 4}-.2766799{col 67}{space 3} .2486482
{txt}c_tfull_hc~s {c |}{col 14}{res}{space 2} .4174959{col 26}{space 2} .1969967{col 37}{space 1}    2.12{col 46}{space 3}0.035{col 54}{space 4} .0286536{col 67}{space 3} .8063382
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2} -.249453{col 26}{space 2} .4290074{col 37}{space 1}   -0.58{col 46}{space 3}0.562{col 54}{space 4} -1.09625{col 67}{space 3} .5973442
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2}-.0541092{col 26}{space 2} .0686218{col 37}{space 1}   -0.79{col 46}{space 3}0.431{col 54}{space 4}-.1895586{col 67}{space 3} .0813401
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2} .0244131{col 26}{space 2} .1573568{col 37}{space 1}    0.16{col 46}{space 3}0.877{col 54}{space 4}-.2861859{col 67}{space 3} .3350121
{txt}c_treatful.. {c |}{col 14}{res}{space 2} .0759898{col 26}{space 2} .2481033{col 37}{space 1}    0.31{col 46}{space 3}0.760{col 54}{space 4}-.4137294{col 67}{space 3}  .565709
{txt}c_treatful.. {c |}{col 14}{res}{space 2}-.1335147{col 26}{space 2} .2087405{col 37}{space 1}   -0.64{col 46}{space 3}0.523{col 54}{space 4}-.5455376{col 67}{space 3} .2785081
{txt}c_treatful.. {c |}{col 14}{res}{space 2}-.5018393{col 26}{space 2} .2601821{col 37}{space 1}   -1.93{col 46}{space 3}0.055{col 54}{space 4}  -1.0154{col 67}{space 3} .0117218
{txt}c_treatful.. {c |}{col 14}{res}{space 2} .6750606{col 26}{space 2} .9751241{col 37}{space 1}    0.69{col 46}{space 3}0.490{col 54}{space 4} -1.24969{col 67}{space 3} 2.599811
{txt}c_treatful.. {c |}{col 14}{res}{space 2} .0974257{col 26}{space 2} .1099939{col 37}{space 1}    0.89{col 46}{space 3}0.377{col 54}{space 4}-.1196859{col 67}{space 3} .3145374
{txt}c_treatful.. {c |}{col 14}{res}{space 2} .0688285{col 26}{space 2}  .258136{col 37}{space 1}    0.27{col 46}{space 3}0.790{col 54}{space 4}-.4406938{col 67}{space 3} .5783507
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} .0039058{col 26}{space 2}  .062362{col 37}{space 1}    0.06{col 46}{space 3}0.950{col 54}{space 4}-.1191875{col 67}{space 3} .1269992
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}
{txt}Linear regression                               Number of obs     = {res}       187
                                                {txt}F(14, 172)        =  {res}     1.68
                                                {txt}Prob > F          = {res}    0.0629
                                                {txt}R-squared         = {res}    0.0850
                                                {txt}Root MSE          =    {res} .05451

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}e_mortrat~05{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2}-.0091317{col 26}{space 2} .0079658{col 37}{space 1}   -1.15{col 46}{space 3}0.253{col 54}{space 4} -.024855{col 67}{space 3} .0065915
{txt}b_mortrat~05 {c |}{col 14}{res}{space 2} .0066825{col 26}{space 2} .0613182{col 37}{space 1}    0.11{col 46}{space 3}0.913{col 54}{space 4}-.1143507{col 67}{space 3} .1277156
{txt}c_tf~_hc_hc2 {c |}{col 14}{res}{space 2}  .018995{col 26}{space 2} .0152454{col 37}{space 1}    1.25{col 46}{space 3}0.214{col 54}{space 4} -.011097{col 67}{space 3} .0490871
{txt}c_tfull_hc~l {c |}{col 14}{res}{space 2} .0107304{col 26}{space 2} .0192632{col 37}{space 1}    0.56{col 46}{space 3}0.578{col 54}{space 4}-.0272924{col 67}{space 3} .0487531
{txt}c_tfull_hc~s {c |}{col 14}{res}{space 2} .0165407{col 26}{space 2} .0200666{col 37}{space 1}    0.82{col 46}{space 3}0.411{col 54}{space 4}-.0230677{col 67}{space 3} .0561492
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2} .0582968{col 26}{space 2} .0449315{col 37}{space 1}    1.30{col 46}{space 3}0.196{col 54}{space 4}-.0303913{col 67}{space 3} .1469848
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2}-.0087666{col 26}{space 2} .0062538{col 37}{space 1}   -1.40{col 46}{space 3}0.163{col 54}{space 4}-.0211107{col 67}{space 3} .0035775
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2} .0290969{col 26}{space 2} .0169366{col 37}{space 1}    1.72{col 46}{space 3}0.088{col 54}{space 4}-.0043335{col 67}{space 3} .0625273
{txt}c_treatful.. {c |}{col 14}{res}{space 2}-.0097928{col 26}{space 2} .0192935{col 37}{space 1}   -0.51{col 46}{space 3}0.612{col 54}{space 4}-.0478753{col 67}{space 3} .0282898
{txt}c_treatful.. {c |}{col 14}{res}{space 2}-.0083882{col 26}{space 2} .0237699{col 37}{space 1}   -0.35{col 46}{space 3}0.725{col 54}{space 4}-.0553064{col 67}{space 3} .0385299
{txt}c_treatful.. {c |}{col 14}{res}{space 2}-.0194002{col 26}{space 2}  .025953{col 37}{space 1}   -0.75{col 46}{space 3}0.456{col 54}{space 4}-.0706276{col 67}{space 3} .0318272
{txt}c_treatful.. {c |}{col 14}{res}{space 2}-.1716959{col 26}{space 2} .0842312{col 37}{space 1}   -2.04{col 46}{space 3}0.043{col 54}{space 4}-.3379559{col 67}{space 3} -.005436
{txt}c_treatful.. {c |}{col 14}{res}{space 2}-.0046442{col 26}{space 2} .0079791{col 37}{space 1}   -0.58{col 46}{space 3}0.561{col 54}{space 4}-.0203938{col 67}{space 3} .0111053
{txt}c_treatful.. {c |}{col 14}{res}{space 2}-.0108066{col 26}{space 2}  .026202{col 37}{space 1}   -0.41{col 46}{space 3}0.681{col 54}{space 4}-.0625254{col 67}{space 3} .0409122
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} .0632389{col 26}{space 2} .0063344{col 37}{space 1}    9.98{col 46}{space 3}0.000{col 54}{space 4} .0507357{col 67}{space 3} .0757422
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}.                 
.                 
.         *****************************
.         * Added later: No Cov * Int *
.         *****************************
.         
.         * We define the control variable
.         
.         local  e_controls_noprefix hc2 b_h_del b_h_staff_houses b_visited_d educyr b_assetindex
{txt}
{com}.                 
.         foreach x in e_ {c -(}
{txt}  2{com}.         
.                 local `x'controls_tfull
{txt}  3{com}.                 local `x'controls_tfull_hc
{txt}  4{com}.                 
.                 {c )-}
{txt}
{com}.                 
.         foreach x in e_ {c -(}
{txt}  2{com}.                 foreach var in treatfull {c -(}
{txt}  3{com}.                         local `var'_int_`x'controls
{txt}  4{com}.                         local `var'_hc_int_`x'controls
{txt}  5{com}.                         {c )-}
{txt}  6{com}.                 {c )-}
{txt}
{com}.                 
.         foreach var of local e_controls_noprefix {c -(}
{txt}  2{com}.                 local e_controls_tfull `e_controls_tfull' c_tfull_`var'
{txt}  3{com}.                 local e_controls_tfull_hc `e_controls_tfull_hc' c_tfull_hc_`var'
{txt}  4{com}.                 {c )-}       
{txt}
{com}.                                 
.         foreach treat in treatfull {c -(}
{txt}  2{com}.                 foreach var of local e_controls_noprefix {c -(}
{txt}  3{com}.                         local `treat'_int_e_controls ``treat'_int_e_controls' c_`treat'_`var'
{txt}  4{com}.                         local `treat'_hc_int_e_controls ``treat'_hc_int_e_controls' c_`treat'_hc_`var'
{txt}  5{com}.                         {c )-}
{txt}  6{com}.                 {c )-}
{txt}
{com}.         
.         
.         eststo clear
{txt}
{com}.         
.         local var treatfull
{txt}
{com}.         
.         foreach x in `indices' {c -(}
{txt}  2{com}.                 areg  e_`x' `var' b_`x' b_`x'_d `e_controls_tfull' , cl(hc_id) robust a(district)
{txt}  3{com}.                 local n_nocovint_`x' = string(`e(N)',"%9.0fc")
{txt}  4{com}.                 local b_nocovint_`x' = string(_b[treatfull],"%9.3fc")
{txt}  5{com}.                 local se_nocovint_`x' =string(_se[treatfull],"%9.3fc")
{txt}  6{com}.                 local p_nocovint_`x' = (2 * ttail(e(df_r), abs(_b[treatfull]/_se[treatfull])))
{txt}  7{com}.                         
.                 if `p_nocovint_`x'' <= 0.1 & `p_nocovint_`x'' > 0.05{c -(}
{txt}  8{com}.                         local b_nocovint_`x' `b_nocovint_`x''*
{txt}  9{com}.                 {c )-}
{txt} 10{com}.         
.                 if `p_nocovint_`x'' <= 0.05 & `p_nocovint_`x'' > 0.01{c -(}
{txt} 11{com}.                         local b_nocovint_`x' `b_nocovint_`x''**
{txt} 12{com}.                 {c )-}
{txt} 13{com}.                 
.                 if `p_nocovint_`x'' <= 0.01 & `p_nocovint_`x'' > 0 {c -(}
{txt} 14{com}.                         local b_nocovint_`x' `b_nocovint_`x''***
{txt} 15{com}.                 {c )-}
{txt} 16{com}.                 
.                 local csb_nocovint_`x' = string(_b[_cons],"%9.3fc")
{txt} 17{com}.                 local csse_nocovint_`x' =string(_se[_cons],"%9.3fc")
{txt} 18{com}.                 local p_nocovint_`x' = (2 * ttail(e(df_r), abs(_b[_cons]/_se[_cons])))
{txt} 19{com}.                         
.                 if `p_nocovint_`x'' <= 0.1 & `p_nocovint_`x'' > 0.05{c -(}
{txt} 20{com}.                         local csb_nofe_`x' `csb_nocovint_`x''*
{txt} 21{com}.                 {c )-}
{txt} 22{com}.         
.                 if `p_nocovint_`x'' <= 0.05 & `p_nocovint_`x'' > 0.01{c -(}
{txt} 23{com}.                         local csb_nocovint_`x' `csb_nocovint_`x''**
{txt} 24{com}.                 {c )-}
{txt} 25{com}.                 
.                 if `p_nocovint_`x'' <= 0.01 & `p_nocovint_`x'' > 0 {c -(}
{txt} 26{com}.                         local csb_nocovint_`x' `csb_nocovint_`x''***
{txt} 27{com}.                 {c )-}
{txt} 28{com}.                 
.                 {c )-}
{txt}note: b_urate_z_d omitted because of collinearity
{res}
{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}     7,288
{txt}{col 49}F({res}   8{txt},{res}    186{txt}){col 67}= {res}    101.14
{txt}{col 49}Prob > F{col 67}= {res}    0.0000
{txt}{col 49}R-squared{col 67}= {res}    0.2301
{txt}{col 49}Adj R-squared{col 67}= {res}    0.2277
{txt}{col 49}Root MSE{col 67}= {res}    0.6612

{txt}{ralign 78:(Std. Err. adjusted for {res:187} clusters in hc_id)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}   e_urate_z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2} .0272817{col 26}{space 2} .0218303{col 37}{space 1}    1.25{col 46}{space 3}0.213{col 54}{space 4}-.0157851{col 67}{space 3} .0703486
{txt}{space 3}b_urate_z {c |}{col 14}{res}{space 2} .3545533{col 26}{space 2} .0146561{col 37}{space 1}   24.19{col 46}{space 3}0.000{col 54}{space 4} .3256398{col 67}{space 3} .3834667
{txt}{space 1}b_urate_z_d {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 1}c_tfull_hc2 {c |}{col 14}{res}{space 2} .0150338{col 26}{space 2} .0288718{col 37}{space 1}    0.52{col 46}{space 3}0.603{col 54}{space 4}-.0419245{col 67}{space 3}  .071992
{txt}c_tfull_b_~l {c |}{col 14}{res}{space 2} .0237715{col 26}{space 2}  .033878{col 37}{space 1}    0.70{col 46}{space 3}0.484{col 54}{space 4}-.0430629{col 67}{space 3}  .090606
{txt}c_tfull_b_~s {c |}{col 14}{res}{space 2} .0295139{col 26}{space 2} .0434455{col 37}{space 1}    0.68{col 46}{space 3}0.498{col 54}{space 4}-.0561953{col 67}{space 3} .1152232
{txt}c_tfull_b_~d {c |}{col 14}{res}{space 2} .1472312{col 26}{space 2} .0420304{col 37}{space 1}    3.50{col 46}{space 3}0.001{col 54}{space 4} .0643136{col 67}{space 3} .2301488
{txt}c_tfull_ed~r {c |}{col 14}{res}{space 2}-.0114403{col 26}{space 2} .0021229{col 37}{space 1}   -5.39{col 46}{space 3}0.000{col 54}{space 4}-.0156284{col 67}{space 3}-.0072523
{txt}c_tfull_b_~x {c |}{col 14}{res}{space 2}-.0444239{col 26}{space 2} .0098167{col 37}{space 1}   -4.53{col 46}{space 3}0.000{col 54}{space 4}-.0637903{col 67}{space 3}-.0250575
{txt}{space 7}_cons {c |}{col 14}{res}{space 2}-.0199136{col 26}{space 2} .0156365{col 37}{space 1}   -1.27{col 46}{space 3}0.204{col 54}{space 4}-.0507613{col 67}{space 3} .0109341
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)
note: b_treatqual_z_d omitted because of collinearity
{res}
{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}     7,288
{txt}{col 49}F({res}   8{txt},{res}    186{txt}){col 67}= {res}      6.45
{txt}{col 49}Prob > F{col 67}= {res}    0.0000
{txt}{col 49}R-squared{col 67}= {res}    0.0978
{txt}{col 49}Adj R-squared{col 67}= {res}    0.0950
{txt}{col 49}Root MSE{col 67}= {res}    0.3521

{txt}{ralign 78:(Std. Err. adjusted for {res:187} clusters in hc_id)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}e_treatq~l_z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2} .0702541{col 26}{space 2} .0263569{col 37}{space 1}    2.67{col 46}{space 3}0.008{col 54}{space 4} .0182572{col 67}{space 3}  .122251
{txt}b_treatq~l_z {c |}{col 14}{res}{space 2} .0975202{col 26}{space 2} .0201453{col 37}{space 1}    4.84{col 46}{space 3}0.000{col 54}{space 4} .0577777{col 67}{space 3} .1372628
{txt}b_trea~l_z_d {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 1}c_tfull_hc2 {c |}{col 14}{res}{space 2}-.0364872{col 26}{space 2} .0302334{col 37}{space 1}   -1.21{col 46}{space 3}0.229{col 54}{space 4}-.0961317{col 67}{space 3} .0231573
{txt}c_tfull_b_~l {c |}{col 14}{res}{space 2} .0347704{col 26}{space 2} .0357458{col 37}{space 1}    0.97{col 46}{space 3}0.332{col 54}{space 4}-.0357489{col 67}{space 3} .1052897
{txt}c_tfull_b_~s {c |}{col 14}{res}{space 2} .0245656{col 26}{space 2}  .041264{col 37}{space 1}    0.60{col 46}{space 3}0.552{col 54}{space 4}-.0568401{col 67}{space 3} .1059713
{txt}c_tfull_b_~d {c |}{col 14}{res}{space 2} .0272133{col 26}{space 2} .0158992{col 37}{space 1}    1.71{col 46}{space 3}0.089{col 54}{space 4}-.0041525{col 67}{space 3} .0585792
{txt}c_tfull_ed~r {c |}{col 14}{res}{space 2}-.0016339{col 26}{space 2} .0011181{col 37}{space 1}   -1.46{col 46}{space 3}0.146{col 54}{space 4}-.0038397{col 67}{space 3} .0005718
{txt}c_tfull_b_~x {c |}{col 14}{res}{space 2}-.0095979{col 26}{space 2} .0053077{col 37}{space 1}   -1.81{col 46}{space 3}0.072{col 54}{space 4} -.020069{col 67}{space 3} .0008732
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} .0005086{col 26}{space 2}  .020236{col 37}{space 1}    0.03{col 46}{space 3}0.980{col 54}{space 4}-.0394129{col 67}{space 3} .0404301
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)
note: b_treatqualalt_z_d omitted because of collinearity
{res}
{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}     7,288
{txt}{col 49}F({res}   8{txt},{res}    186{txt}){col 67}= {res}      7.46
{txt}{col 49}Prob > F{col 67}= {res}    0.0000
{txt}{col 49}R-squared{col 67}= {res}    0.0329
{txt}{col 49}Adj R-squared{col 67}= {res}    0.0299
{txt}{col 49}Root MSE{col 67}= {res}    0.4745

{txt}{ralign 78:(Std. Err. adjusted for {res:187} clusters in hc_id)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}e_treatq~t_z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2} .0382267{col 26}{space 2}  .018698{col 37}{space 1}    2.04{col 46}{space 3}0.042{col 54}{space 4} .0013392{col 67}{space 3} .0751142
{txt}b_treatq~t_z {c |}{col 14}{res}{space 2} .0781575{col 26}{space 2} .0178075{col 37}{space 1}    4.39{col 46}{space 3}0.000{col 54}{space 4} .0430268{col 67}{space 3} .1132882
{txt}b_trea~t_z_d {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 1}c_tfull_hc2 {c |}{col 14}{res}{space 2} -.045737{col 26}{space 2} .0234368{col 37}{space 1}   -1.95{col 46}{space 3}0.052{col 54}{space 4} -.091973{col 67}{space 3} .0004991
{txt}c_tfull_b_~l {c |}{col 14}{res}{space 2} .0386956{col 26}{space 2} .0285943{col 37}{space 1}    1.35{col 46}{space 3}0.178{col 54}{space 4}-.0177153{col 67}{space 3} .0951065
{txt}c_tfull_b_~s {c |}{col 14}{res}{space 2} .0071755{col 26}{space 2}  .030292{col 37}{space 1}    0.24{col 46}{space 3}0.813{col 54}{space 4}-.0525846{col 67}{space 3} .0669356
{txt}c_tfull_b_~d {c |}{col 14}{res}{space 2} .0267263{col 26}{space 2} .0200615{col 37}{space 1}    1.33{col 46}{space 3}0.184{col 54}{space 4}-.0128509{col 67}{space 3} .0663036
{txt}c_tfull_ed~r {c |}{col 14}{res}{space 2}-.0005571{col 26}{space 2} .0014548{col 37}{space 1}   -0.38{col 46}{space 3}0.702{col 54}{space 4}-.0034271{col 67}{space 3} .0023129
{txt}c_tfull_b_~x {c |}{col 14}{res}{space 2} -.023925{col 26}{space 2} .0069231{col 37}{space 1}   -3.46{col 46}{space 3}0.001{col 54}{space 4}-.0375828{col 67}{space 3}-.0102671
{txt}{space 7}_cons {c |}{col 14}{res}{space 2}-.0021776{col 26}{space 2} .0145951{col 37}{space 1}   -0.15{col 46}{space 3}0.882{col 54}{space 4}-.0309709{col 67}{space 3} .0266157
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)
note: b_patsat_z_d omitted because of collinearity
{res}
{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}     7,288
{txt}{col 49}F({res}   8{txt},{res}    186{txt}){col 67}= {res}     14.25
{txt}{col 49}Prob > F{col 67}= {res}    0.0000
{txt}{col 49}R-squared{col 67}= {res}    0.0394
{txt}{col 49}Adj R-squared{col 67}= {res}    0.0363
{txt}{col 49}Root MSE{col 67}= {res}    0.5869

{txt}{ralign 78:(Std. Err. adjusted for {res:187} clusters in hc_id)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}  e_patsat_z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2} .0766279{col 26}{space 2} .0242478{col 37}{space 1}    3.16{col 46}{space 3}0.002{col 54}{space 4} .0287919{col 67}{space 3}  .124464
{txt}{space 2}b_patsat_z {c |}{col 14}{res}{space 2} .1391849{col 26}{space 2} .0151653{col 37}{space 1}    9.18{col 46}{space 3}0.000{col 54}{space 4} .1092669{col 67}{space 3}  .169103
{txt}b_patsat_z_d {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 1}c_tfull_hc2 {c |}{col 14}{res}{space 2}-.0559382{col 26}{space 2} .0292099{col 37}{space 1}   -1.92{col 46}{space 3}0.057{col 54}{space 4}-.1135635{col 67}{space 3} .0016871
{txt}c_tfull_b_~l {c |}{col 14}{res}{space 2} .0029132{col 26}{space 2}  .038816{col 37}{space 1}    0.08{col 46}{space 3}0.940{col 54}{space 4}-.0736631{col 67}{space 3} .0794894
{txt}c_tfull_b_~s {c |}{col 14}{res}{space 2}  .014223{col 26}{space 2} .0540938{col 37}{space 1}    0.26{col 46}{space 3}0.793{col 54}{space 4}-.0924932{col 67}{space 3} .1209392
{txt}c_tfull_b_~d {c |}{col 14}{res}{space 2}-.0090924{col 26}{space 2} .0266171{col 37}{space 1}   -0.34{col 46}{space 3}0.733{col 54}{space 4}-.0616027{col 67}{space 3} .0434179
{txt}c_tfull_ed~r {c |}{col 14}{res}{space 2} .0031544{col 26}{space 2} .0018384{col 37}{space 1}    1.72{col 46}{space 3}0.088{col 54}{space 4}-.0004724{col 67}{space 3} .0067812
{txt}c_tfull_b_~x {c |}{col 14}{res}{space 2} .0006674{col 26}{space 2} .0074343{col 37}{space 1}    0.09{col 46}{space 3}0.929{col 54}{space 4} -.013999{col 67}{space 3} .0153338
{txt}{space 7}_cons {c |}{col 14}{res}{space 2}-.0020586{col 26}{space 2} .0179785{col 37}{space 1}   -0.11{col 46}{space 3}0.909{col 54}{space 4}-.0375267{col 67}{space 3} .0334095
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)
note: b_commtg_z_d omitted because of collinearity
{res}
{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}     7,288
{txt}{col 49}F({res}   8{txt},{res}    186{txt}){col 67}= {res}     11.69
{txt}{col 49}Prob > F{col 67}= {res}    0.0000
{txt}{col 49}R-squared{col 67}= {res}    0.0961
{txt}{col 49}Adj R-squared{col 67}= {res}    0.0933
{txt}{col 49}Root MSE{col 67}= {res}    0.5588

{txt}{ralign 78:(Std. Err. adjusted for {res:187} clusters in hc_id)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}  e_commtg_z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2} .0055923{col 26}{space 2} .0280309{col 37}{space 1}    0.20{col 46}{space 3}0.842{col 54}{space 4}-.0497072{col 67}{space 3} .0608917
{txt}{space 2}b_commtg_z {c |}{col 14}{res}{space 2} .0757774{col 26}{space 2} .0135575{col 37}{space 1}    5.59{col 46}{space 3}0.000{col 54}{space 4} .0490312{col 67}{space 3} .1025235
{txt}b_commtg_z_d {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 1}c_tfull_hc2 {c |}{col 14}{res}{space 2} .1239928{col 26}{space 2} .0320277{col 37}{space 1}    3.87{col 46}{space 3}0.000{col 54}{space 4} .0608085{col 67}{space 3} .1871772
{txt}c_tfull_b_~l {c |}{col 14}{res}{space 2} .0852744{col 26}{space 2} .0385592{col 37}{space 1}    2.21{col 46}{space 3}0.028{col 54}{space 4} .0092047{col 67}{space 3} .1613441
{txt}c_tfull_b_~s {c |}{col 14}{res}{space 2} .0054989{col 26}{space 2}    .0554{col 37}{space 1}    0.10{col 46}{space 3}0.921{col 54}{space 4}-.1037943{col 67}{space 3} .1147921
{txt}c_tfull_b_~d {c |}{col 14}{res}{space 2}   .09122{col 26}{space 2}  .032878{col 37}{space 1}    2.77{col 46}{space 3}0.006{col 54}{space 4} .0263583{col 67}{space 3} .1560817
{txt}c_tfull_ed~r {c |}{col 14}{res}{space 2} .0045883{col 26}{space 2} .0016172{col 37}{space 1}    2.84{col 46}{space 3}0.005{col 54}{space 4}  .001398{col 67}{space 3} .0077787
{txt}c_tfull_b_~x {c |}{col 14}{res}{space 2} .0275659{col 26}{space 2} .0086925{col 37}{space 1}    3.17{col 46}{space 3}0.002{col 54}{space 4} .0104174{col 67}{space 3} .0447144
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} .0035564{col 26}{space 2} .0191754{col 37}{space 1}    0.19{col 46}{space 3}0.853{col 54}{space 4}-.0342728{col 67}{space 3} .0413856
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{com}.         
.                 
.         foreach x in `indices_hc' {c -(}
{txt}  2{com}.                 areg  e_`x' `var' b_`x' `e_controls_tfull_hc' if uniquehc == 1, robust a(district)
{txt}  3{com}.                 local n_nocovint_`x' = string(`e(N)',"%9.0fc")
{txt}  4{com}.                 local b_nocovint_`x' = string(_b[treatfull],"%9.3fc")
{txt}  5{com}.                 local se_nocovint_`x' =string(_se[treatfull],"%9.3fc")
{txt}  6{com}.                 local p_nocovint_`x' = (2 * ttail(e(df_r), abs(_b[treatfull]/_se[treatfull])))
{txt}  7{com}.                         
.                 if `p_nocovint_`x'' <= 0.1 & `p_nocovint_`x'' > 0.05{c -(}
{txt}  8{com}.                         local b_nocovint_`x' `b_nocovint_`x''*
{txt}  9{com}.                 {c )-}
{txt} 10{com}.         
.                 if `p_nocovint_`x'' <= 0.05 & `p_nocovint_`x'' > 0.01{c -(}
{txt} 11{com}.                         local b_nocovint_`x' `b_nocovint_`x''**
{txt} 12{com}.                 {c )-}
{txt} 13{com}.                 
.                 if `p_nocovint_`x'' <= 0.01 & `p_nocovint_`x'' > 0 {c -(}
{txt} 14{com}.                         local b_nocovint_`x' `b_nocovint_`x''***
{txt} 15{com}.                 {c )-}
{txt} 16{com}.                 
.                 local csb_nocovint_`x' = string(_b[_cons],"%9.3fc")
{txt} 17{com}.                 local csse_nocovint_`x' =string(_se[_cons],"%9.3fc")
{txt} 18{com}.                 local p_nocovint_`x' = (2 * ttail(e(df_r), abs(_b[_cons]/_se[_cons])))
{txt} 19{com}.                         
.                 if `p_nocovint_`x'' <= 0.1 & `p_nocovint_`x'' > 0.05{c -(}
{txt} 20{com}.                         local csb_nocovint_`x' `csb_nocovint_`x''*
{txt} 21{com}.                 {c )-}
{txt} 22{com}.         
.                 if `p_nocovint_`x'' <= 0.05 & `p_nocovint_`x'' > 0.01{c -(}
{txt} 23{com}.                         local csb_nocovint_`x' `csb_nocovint_`x''**
{txt} 24{com}.                 {c )-}
{txt} 25{com}.                 
.                 if `p_nocovint_`x'' <= 0.01 & `p_nocovint_`x'' > 0 {c -(}
{txt} 26{com}.                         local csb_nocovint_`x' `csb_nocovint_`x''***
{txt} 27{com}.                 {c )-}
{txt} 28{com}.                 
.                 {c )-}
{res}
{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}       187
{txt}{col 49}F({res}   8{txt},{res}    163{txt}){col 67}= {res}      1.07
{txt}{col 49}Prob > F{col 67}= {res}    0.3833
{txt}{col 49}R-squared{col 67}= {res}    0.0942
{txt}{col 49}Adj R-squared{col 67}= {res}   -0.0336
{txt}{col 49}Root MSE{col 67}= {res}    0.7003

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}e_h_ctzpre~z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2} -.134271{col 26}{space 2} .1034163{col 37}{space 1}   -1.30{col 46}{space 3}0.196{col 54}{space 4}-.3384793{col 67}{space 3} .0699373
{txt}b_h_ctzpre~z {c |}{col 14}{res}{space 2} .0079571{col 26}{space 2} .0641321{col 37}{space 1}    0.12{col 46}{space 3}0.901{col 54}{space 4}-.1186797{col 67}{space 3} .1345939
{txt}c_tf~_hc_hc2 {c |}{col 14}{res}{space 2}-.0584948{col 26}{space 2} .1591786{col 37}{space 1}   -0.37{col 46}{space 3}0.714{col 54}{space 4}-.3728128{col 67}{space 3} .2558233
{txt}c_tfull_hc~l {c |}{col 14}{res}{space 2} .0323762{col 26}{space 2} .1552813{col 37}{space 1}    0.21{col 46}{space 3}0.835{col 54}{space 4}-.2742462{col 67}{space 3} .3389986
{txt}c_tfull_hc~s {c |}{col 14}{res}{space 2} .3169935{col 26}{space 2} .1844047{col 37}{space 1}    1.72{col 46}{space 3}0.088{col 54}{space 4}-.0471364{col 67}{space 3} .6811235
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2}-.3642223{col 26}{space 2} .5401904{col 37}{space 1}   -0.67{col 46}{space 3}0.501{col 54}{space 4}-1.430896{col 67}{space 3}  .702451
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2} .0153474{col 26}{space 2} .0701729{col 37}{space 1}    0.22{col 46}{space 3}0.827{col 54}{space 4}-.1232177{col 67}{space 3} .1539126
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2}-.1248174{col 26}{space 2}  .212503{col 37}{space 1}   -0.59{col 46}{space 3}0.558{col 54}{space 4} -.544431{col 67}{space 3} .2947962
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} .0132367{col 26}{space 2}  .067043{col 37}{space 1}    0.20{col 46}{space 3}0.844{col 54}{space 4} -.119148{col 67}{space 3} .1456214
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)
{res}
{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}       187
{txt}{col 49}F({res}   8{txt},{res}    163{txt}){col 67}= {res}      0.82
{txt}{col 49}Prob > F{col 67}= {res}    0.5849
{txt}{col 49}R-squared{col 67}= {res}    0.1631
{txt}{col 49}Adj R-squared{col 67}= {res}    0.0450
{txt}{col 49}Root MSE{col 67}= {res}    0.0535

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}e_mortrat~05{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2}-.0102805{col 26}{space 2} .0079077{col 37}{space 1}   -1.30{col 46}{space 3}0.195{col 54}{space 4}-.0258953{col 67}{space 3} .0053342
{txt}b_mortrat~05 {c |}{col 14}{res}{space 2} .0712443{col 26}{space 2} .0625629{col 37}{space 1}    1.14{col 46}{space 3}0.256{col 54}{space 4} -.052294{col 67}{space 3} .1947826
{txt}c_tf~_hc_hc2 {c |}{col 14}{res}{space 2} .0049443{col 26}{space 2} .0115866{col 37}{space 1}    0.43{col 46}{space 3}0.670{col 54}{space 4} -.017935{col 67}{space 3} .0278236
{txt}c_tfull_hc~l {c |}{col 14}{res}{space 2} .0021414{col 26}{space 2} .0116084{col 37}{space 1}    0.18{col 46}{space 3}0.854{col 54}{space 4}-.0207808{col 67}{space 3} .0250636
{txt}c_tfull_hc~s {c |}{col 14}{res}{space 2}-.0060544{col 26}{space 2} .0168002{col 37}{space 1}   -0.36{col 46}{space 3}0.719{col 54}{space 4}-.0392284{col 67}{space 3} .0271197
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2}-.0366629{col 26}{space 2} .0456674{col 37}{space 1}   -0.80{col 46}{space 3}0.423{col 54}{space 4}-.1268389{col 67}{space 3}  .053513
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2} -.008413{col 26}{space 2} .0053887{col 37}{space 1}   -1.56{col 46}{space 3}0.120{col 54}{space 4}-.0190536{col 67}{space 3} .0022277
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2} .0133283{col 26}{space 2} .0175399{col 37}{space 1}    0.76{col 46}{space 3}0.448{col 54}{space 4}-.0213064{col 67}{space 3}  .047963
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} .0606044{col 26}{space 2} .0062373{col 37}{space 1}    9.72{col 46}{space 3}0.000{col 54}{space 4} .0482881{col 67}{space 3} .0729207
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{com}.                 
.         *************************
.         * Agregated at HC level *
.         *************************
.         
.         local indices_hc mortrate_05 h_ctzpressure_z
{txt}
{com}.         
.         * Our first step is to create the mean at HC level
.         
.         foreach x of local indices {c -(}
{txt}  2{com}.                 byso hc_id : egen mean_e_`x' = mean(e_`x')
{txt}  3{com}.                 byso hc_id : egen mean_b_`x' = mean(b_`x')
{txt}  4{com}.                 byso hc_id : egen mean_b_`x'_d = mean(b_`x'_d)
{txt}  5{com}.                 {c )-}
{txt}
{com}.                 
.         foreach x of local indices_hc {c -(}
{txt}  2{com}.                 byso hc_id : egen mean_e_`x' = mean(e_`x')
{txt}  3{com}.                 byso hc_id : egen mean_b_`x' = mean(b_`x')
{txt}  4{com}.                 {c )-}
{txt}
{com}.         
.         
.         eststo clear
{txt}
{com}.         
.         local var treatfull
{txt}
{com}.         
.         foreach x in `indices' {c -(}
{txt}  2{com}.                 areg  mean_e_`x' `var' mean_b_`x' mean_b_`x'_d `e_controls_tfull_hc' ``var'_hc_int_e_controls' if uniquehc == 1, robust a(district)
{txt}  3{com}.                 local n_mean_`x' = string(`e(N)',"%9.0fc")
{txt}  4{com}.                 local b_mean_`x' = string(_b[treatfull],"%9.3fc")
{txt}  5{com}.                 local se_mean_`x' =string(_se[treatfull],"%9.3fc")
{txt}  6{com}.                 local p_mean_`x' = (2 * ttail(e(df_r), abs(_b[treatfull]/_se[treatfull])))
{txt}  7{com}.                         
.                 if `p_mean_`x'' <= 0.1 & `p_mean_`x'' > 0.05{c -(}
{txt}  8{com}.                         local b_mean_`x' `b_mean_`x''*
{txt}  9{com}.                 {c )-}
{txt} 10{com}.         
.                 if `p_mean_`x'' <= 0.05 & `p_mean_`x'' > 0.01{c -(}
{txt} 11{com}.                         local b_mean_`x' `b_mean_`x''**
{txt} 12{com}.                 {c )-}
{txt} 13{com}.                 
.                 if `p_mean_`x'' <= 0.01 & `p_mean_`x'' > 0 {c -(}
{txt} 14{com}.                         local b_mean_`x' `b_mean_`x''***
{txt} 15{com}.                 {c )-}
{txt} 16{com}.                 
.                 local csb_mean_`x' = string(_b[_cons],"%9.3fc")
{txt} 17{com}.                 local csse_mean_`x' =string(_se[_cons],"%9.3fc")
{txt} 18{com}.                 local p_mean_`x' = (2 * ttail(e(df_r), abs(_b[_cons]/_se[_cons])))
{txt} 19{com}.                         
.                 if `p_mean_`x'' <= 0.1 & `p_mean_`x'' > 0.05{c -(}
{txt} 20{com}.                         local csb_mean_`x' `csb_mean_`x''*
{txt} 21{com}.                 {c )-}
{txt} 22{com}.         
.                 if `p_mean_`x'' <= 0.05 & `p_mean_`x'' > 0.01{c -(}
{txt} 23{com}.                         local csb_mean_`x' `csb_mean_`x''**
{txt} 24{com}.                 {c )-}
{txt} 25{com}.                 
.                 if `p_mean_`x'' <= 0.01 & `p_mean_`x'' > 0 {c -(}
{txt} 26{com}.                         local csb_mean_`x' `csb_mean_`x''***
{txt} 27{com}.                 {c )-}
{txt} 28{com}.                 
.                 {c )-}
{p 0 6 2}{txt}note: mean_b_urate_z_d omitted because of collinearity{p_end}
{res}
{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}       187
{txt}{col 49}F({res}  14{txt},{res}    157{txt}){col 67}= {res}     30.85
{txt}{col 49}Prob > F{col 67}= {res}    0.0000
{txt}{col 49}R-squared{col 67}= {res}    0.8360
{txt}{col 49}Adj R-squared{col 67}= {res}    0.8057
{txt}{col 49}Root MSE{col 67}= {res}    0.1407

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}mean_e_ura~z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2} .0352303{col 26}{space 2} .0210735{col 37}{space 1}    1.67{col 46}{space 3}0.097{col 54}{space 4}-.0063937{col 67}{space 3} .0768544
{txt}mean_b_ura~z {c |}{col 14}{res}{space 2}  .622798{col 26}{space 2} .0820914{col 37}{space 1}    7.59{col 46}{space 3}0.000{col 54}{space 4}  .460652{col 67}{space 3}  .784944
{txt}mean_b_ura~d {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
c_tf~_hc_hc2 {c |}{col 14}{res}{space 2}-.0035434{col 26}{space 2} .0448981{col 37}{space 1}   -0.08{col 46}{space 3}0.937{col 54}{space 4}-.0922256{col 67}{space 3} .0851388
{txt}c_tfull_hc~l {c |}{col 14}{res}{space 2}-.0230829{col 26}{space 2} .0416361{col 37}{space 1}   -0.55{col 46}{space 3}0.580{col 54}{space 4}-.1053221{col 67}{space 3} .0591562
{txt}c_tfull_hc~s {c |}{col 14}{res}{space 2} .0616173{col 26}{space 2} .0419928{col 37}{space 1}    1.47{col 46}{space 3}0.144{col 54}{space 4}-.0213265{col 67}{space 3}  .144561
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2} .2892698{col 26}{space 2} .1470005{col 37}{space 1}    1.97{col 46}{space 3}0.051{col 54}{space 4} -.001084{col 67}{space 3} .5796236
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2}-.0181296{col 26}{space 2} .0140157{col 37}{space 1}   -1.29{col 46}{space 3}0.198{col 54}{space 4}-.0458132{col 67}{space 3} .0095539
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2} -.067435{col 26}{space 2} .0471574{col 37}{space 1}   -1.43{col 46}{space 3}0.155{col 54}{space 4}-.1605797{col 67}{space 3} .0257097
{txt}c_treatful.. {c |}{col 14}{res}{space 2}-.0143348{col 26}{space 2} .0594913{col 37}{space 1}   -0.24{col 46}{space 3}0.810{col 54}{space 4}-.1318414{col 67}{space 3} .1031718
{txt}c_treatful.. {c |}{col 14}{res}{space 2}-.0158008{col 26}{space 2} .0552085{col 37}{space 1}   -0.29{col 46}{space 3}0.775{col 54}{space 4} -.124848{col 67}{space 3} .0932463
{txt}c_treatful.. {c |}{col 14}{res}{space 2}-.0970315{col 26}{space 2} .0755919{col 37}{space 1}   -1.28{col 46}{space 3}0.201{col 54}{space 4}-.2463398{col 67}{space 3} .0522769
{txt}c_treatful.. {c |}{col 14}{res}{space 2}-.0563572{col 26}{space 2} .2350139{col 37}{space 1}   -0.24{col 46}{space 3}0.811{col 54}{space 4}-.5205542{col 67}{space 3} .4078398
{txt}c_treatful.. {c |}{col 14}{res}{space 2} .0091734{col 26}{space 2} .0228886{col 37}{space 1}    0.40{col 46}{space 3}0.689{col 54}{space 4} -.036036{col 67}{space 3} .0543828
{txt}c_treatful.. {c |}{col 14}{res}{space 2}-.0393798{col 26}{space 2} .0595993{col 37}{space 1}   -0.66{col 46}{space 3}0.510{col 54}{space 4}-.1570996{col 67}{space 3}   .07834
{txt}{space 7}_cons {c |}{col 14}{res}{space 2}-.0142743{col 26}{space 2} .0142228{col 37}{space 1}   -1.00{col 46}{space 3}0.317{col 54}{space 4}-.0423671{col 67}{space 3} .0138184
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)
{p 0 6 2}note: mean_b_treatqual_z_d omitted because of collinearity{p_end}
{res}
{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}       187
{txt}{col 49}F({res}  14{txt},{res}    157{txt}){col 67}= {res}      2.63
{txt}{col 49}Prob > F{col 67}= {res}    0.0019
{txt}{col 49}R-squared{col 67}= {res}    0.3473
{txt}{col 49}Adj R-squared{col 67}= {res}    0.2268
{txt}{col 49}Root MSE{col 67}= {res}    0.1846

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}mean_e_t~l_z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2} .0619094{col 26}{space 2} .0273422{col 37}{space 1}    2.26{col 46}{space 3}0.025{col 54}{space 4} .0079033{col 67}{space 3} .1159154
{txt}mean_b_t~l_z {c |}{col 14}{res}{space 2} .1667811{col 26}{space 2} .0588572{col 37}{space 1}    2.83{col 46}{space 3}0.005{col 54}{space 4}  .050527{col 67}{space 3} .2830352
{txt}mean_b~l_z_d {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
c_tf~_hc_hc2 {c |}{col 14}{res}{space 2}-.0871847{col 26}{space 2} .0567527{col 37}{space 1}   -1.54{col 46}{space 3}0.126{col 54}{space 4}-.1992821{col 67}{space 3} .0249127
{txt}c_tfull_hc~l {c |}{col 14}{res}{space 2}-.0229429{col 26}{space 2} .0628775{col 37}{space 1}   -0.36{col 46}{space 3}0.716{col 54}{space 4}-.1471378{col 67}{space 3} .1012521
{txt}c_tfull_hc~s {c |}{col 14}{res}{space 2} .0725563{col 26}{space 2} .0639961{col 37}{space 1}    1.13{col 46}{space 3}0.259{col 54}{space 4} -.053848{col 67}{space 3} .1989606
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2} .0310302{col 26}{space 2} .1805456{col 37}{space 1}    0.17{col 46}{space 3}0.864{col 54}{space 4}-.3255816{col 67}{space 3}  .387642
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2}-.0384685{col 26}{space 2} .0229147{col 37}{space 1}   -1.68{col 46}{space 3}0.095{col 54}{space 4}-.0837293{col 67}{space 3} .0067922
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2} .0673874{col 26}{space 2} .0681681{col 37}{space 1}    0.99{col 46}{space 3}0.324{col 54}{space 4}-.0672576{col 67}{space 3} .2020323
{txt}c_treatful.. {c |}{col 14}{res}{space 2} .0516708{col 26}{space 2} .0734302{col 37}{space 1}    0.70{col 46}{space 3}0.483{col 54}{space 4}-.0933679{col 67}{space 3} .1967094
{txt}c_treatful.. {c |}{col 14}{res}{space 2} .0664597{col 26}{space 2} .0722254{col 37}{space 1}    0.92{col 46}{space 3}0.359{col 54}{space 4}-.0761991{col 67}{space 3} .2091184
{txt}c_treatful.. {c |}{col 14}{res}{space 2}-.1618917{col 26}{space 2} .0864578{col 37}{space 1}   -1.87{col 46}{space 3}0.063{col 54}{space 4}-.3326622{col 67}{space 3} .0088787
{txt}c_treatful.. {c |}{col 14}{res}{space 2} .3694813{col 26}{space 2} .2699368{col 37}{space 1}    1.37{col 46}{space 3}0.173{col 54}{space 4}-.1636949{col 67}{space 3} .9026575
{txt}c_treatful.. {c |}{col 14}{res}{space 2}-.0035177{col 26}{space 2} .0276189{col 37}{space 1}   -0.13{col 46}{space 3}0.899{col 54}{space 4}-.0580704{col 67}{space 3} .0510349
{txt}c_treatful.. {c |}{col 14}{res}{space 2}-.0446922{col 26}{space 2} .0809747{col 37}{space 1}   -0.55{col 46}{space 3}0.582{col 54}{space 4}-.2046326{col 67}{space 3} .1152483
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} .0018776{col 26}{space 2} .0214298{col 37}{space 1}    0.09{col 46}{space 3}0.930{col 54}{space 4}-.0404503{col 67}{space 3} .0442055
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)
{p 0 6 2}note: mean_b_treatqualalt_z_d omitted because of collinearity{p_end}
{res}
{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}       187
{txt}{col 49}F({res}  14{txt},{res}    157{txt}){col 67}= {res}      5.05
{txt}{col 49}Prob > F{col 67}= {res}    0.0000
{txt}{col 49}R-squared{col 67}= {res}    0.3791
{txt}{col 49}Adj R-squared{col 67}= {res}    0.2644
{txt}{col 49}Root MSE{col 67}= {res}    0.1301

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}mean_e_t~t_z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2} .0312552{col 26}{space 2} .0191056{col 37}{space 1}    1.64{col 46}{space 3}0.104{col 54}{space 4}-.0064819{col 67}{space 3} .0689923
{txt}mean_b_t~t_z {c |}{col 14}{res}{space 2}   .21208{col 26}{space 2} .0721856{col 37}{space 1}    2.94{col 46}{space 3}0.004{col 54}{space 4} .0694998{col 67}{space 3} .3546602
{txt}mean_~lt_z_d {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
c_tf~_hc_hc2 {c |}{col 14}{res}{space 2}-.1076518{col 26}{space 2} .0427137{col 37}{space 1}   -2.52{col 46}{space 3}0.013{col 54}{space 4}-.1920193{col 67}{space 3}-.0232842
{txt}c_tfull_hc~l {c |}{col 14}{res}{space 2} .0048726{col 26}{space 2} .0505354{col 37}{space 1}    0.10{col 46}{space 3}0.923{col 54}{space 4}-.0949444{col 67}{space 3} .1046896
{txt}c_tfull_hc~s {c |}{col 14}{res}{space 2}-.0013191{col 26}{space 2} .0436173{col 37}{space 1}   -0.03{col 46}{space 3}0.976{col 54}{space 4}-.0874714{col 67}{space 3} .0848333
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2}-.1417743{col 26}{space 2} .1292963{col 37}{space 1}   -1.10{col 46}{space 3}0.275{col 54}{space 4}-.3971589{col 67}{space 3} .1136104
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2}-.0010444{col 26}{space 2} .0160301{col 37}{space 1}   -0.07{col 46}{space 3}0.948{col 54}{space 4} -.032707{col 67}{space 3} .0306181
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2}-.1114263{col 26}{space 2} .0504449{col 37}{space 1}   -2.21{col 46}{space 3}0.029{col 54}{space 4}-.2110645{col 67}{space 3}-.0117881
{txt}c_treatful.. {c |}{col 14}{res}{space 2} .0796465{col 26}{space 2} .0509395{col 37}{space 1}    1.56{col 46}{space 3}0.120{col 54}{space 4}-.0209686{col 67}{space 3} .1802616
{txt}c_treatful.. {c |}{col 14}{res}{space 2} .0088031{col 26}{space 2} .0573742{col 37}{space 1}    0.15{col 46}{space 3}0.878{col 54}{space 4}-.1045218{col 67}{space 3} .1221279
{txt}c_treatful.. {c |}{col 14}{res}{space 2}-.0557685{col 26}{space 2} .0577705{col 37}{space 1}   -0.97{col 46}{space 3}0.336{col 54}{space 4}-.1698762{col 67}{space 3} .0583391
{txt}c_treatful.. {c |}{col 14}{res}{space 2} .4852424{col 26}{space 2} .2095873{col 37}{space 1}    2.32{col 46}{space 3}0.022{col 54}{space 4} .0712679{col 67}{space 3} .8992169
{txt}c_treatful.. {c |}{col 14}{res}{space 2}-.0177448{col 26}{space 2}  .020797{col 37}{space 1}   -0.85{col 46}{space 3}0.395{col 54}{space 4}-.0588229{col 67}{space 3} .0233332
{txt}c_treatful.. {c |}{col 14}{res}{space 2} .0571033{col 26}{space 2} .0602422{col 37}{space 1}    0.95{col 46}{space 3}0.345{col 54}{space 4}-.0618864{col 67}{space 3}  .176093
{txt}{space 7}_cons {c |}{col 14}{res}{space 2}-.0021983{col 26}{space 2} .0149326{col 37}{space 1}   -0.15{col 46}{space 3}0.883{col 54}{space 4}-.0316931{col 67}{space 3} .0272965
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)
{p 0 6 2}note: mean_b_patsat_z_d omitted because of collinearity{p_end}
{res}
{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}       187
{txt}{col 49}F({res}  14{txt},{res}    157{txt}){col 67}= {res}      4.56
{txt}{col 49}Prob > F{col 67}= {res}    0.0000
{txt}{col 49}R-squared{col 67}= {res}    0.2931
{txt}{col 49}Adj R-squared{col 67}= {res}    0.1626
{txt}{col 49}Root MSE{col 67}= {res}    0.1718

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}mean_e_pat~z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2} .0796139{col 26}{space 2} .0249259{col 37}{space 1}    3.19{col 46}{space 3}0.002{col 54}{space 4} .0303806{col 67}{space 3} .1288473
{txt}mean_b_pat~z {c |}{col 14}{res}{space 2} .2356882{col 26}{space 2}   .06744{col 37}{space 1}    3.49{col 46}{space 3}0.001{col 54}{space 4} .1024814{col 67}{space 3} .3688949
{txt}mean_b_pat~d {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
c_tf~_hc_hc2 {c |}{col 14}{res}{space 2} .0305043{col 26}{space 2} .0498947{col 37}{space 1}    0.61{col 46}{space 3}0.542{col 54}{space 4}-.0680472{col 67}{space 3} .1290558
{txt}c_tfull_hc~l {c |}{col 14}{res}{space 2} .1052143{col 26}{space 2} .0586165{col 37}{space 1}    1.79{col 46}{space 3}0.075{col 54}{space 4}-.0105645{col 67}{space 3}  .220993
{txt}c_tfull_hc~s {c |}{col 14}{res}{space 2} .0142339{col 26}{space 2} .0718606{col 37}{space 1}    0.20{col 46}{space 3}0.843{col 54}{space 4}-.1277044{col 67}{space 3} .1561722
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2} .0382249{col 26}{space 2} .2686179{col 37}{space 1}    0.14{col 46}{space 3}0.887{col 54}{space 4}-.4923464{col 67}{space 3} .5687961
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2} .0160004{col 26}{space 2} .0234615{col 37}{space 1}    0.68{col 46}{space 3}0.496{col 54}{space 4}-.0303405{col 67}{space 3} .0623414
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2} .0188004{col 26}{space 2}  .079227{col 37}{space 1}    0.24{col 46}{space 3}0.813{col 54}{space 4}-.1376879{col 67}{space 3} .1752886
{txt}c_treatful.. {c |}{col 14}{res}{space 2}-.1190484{col 26}{space 2}   .06376{col 37}{space 1}   -1.87{col 46}{space 3}0.064{col 54}{space 4}-.2449866{col 67}{space 3} .0068897
{txt}c_treatful.. {c |}{col 14}{res}{space 2}  -.18688{col 26}{space 2}  .069883{col 37}{space 1}   -2.67{col 46}{space 3}0.008{col 54}{space 4}-.3249121{col 67}{space 3}-.0488479
{txt}c_treatful.. {c |}{col 14}{res}{space 2}  .011112{col 26}{space 2} .0884759{col 37}{space 1}    0.13{col 46}{space 3}0.900{col 54}{space 4}-.1636445{col 67}{space 3} .1858686
{txt}c_treatful.. {c |}{col 14}{res}{space 2} .0909738{col 26}{space 2} .3326435{col 37}{space 1}    0.27{col 46}{space 3}0.785{col 54}{space 4}-.5660601{col 67}{space 3} .7480076
{txt}c_treatful.. {c |}{col 14}{res}{space 2} .0379091{col 26}{space 2} .0281283{col 37}{space 1}    1.35{col 46}{space 3}0.180{col 54}{space 4}-.0176496{col 67}{space 3} .0934678
{txt}c_treatful.. {c |}{col 14}{res}{space 2}-.1236465{col 26}{space 2} .0789497{col 37}{space 1}   -1.57{col 46}{space 3}0.119{col 54}{space 4}-.2795872{col 67}{space 3} .0322942
{txt}{space 7}_cons {c |}{col 14}{res}{space 2}-.0009358{col 26}{space 2}  .018656{col 37}{space 1}   -0.05{col 46}{space 3}0.960{col 54}{space 4}-.0377849{col 67}{space 3} .0359132
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)
{p 0 6 2}note: mean_b_commtg_z_d omitted because of collinearity{p_end}
{res}
{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}       187
{txt}{col 49}F({res}  14{txt},{res}    157{txt}){col 67}= {res}      1.94
{txt}{col 49}Prob > F{col 67}= {res}    0.0259
{txt}{col 49}R-squared{col 67}= {res}    0.4930
{txt}{col 49}Adj R-squared{col 67}= {res}    0.3993
{txt}{col 49}Root MSE{col 67}= {res}    0.1969

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}mean_e_com~z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2}-.0010327{col 26}{space 2} .0290044{col 37}{space 1}   -0.04{col 46}{space 3}0.972{col 54}{space 4}-.0583218{col 67}{space 3} .0562563
{txt}mean_b_com~z {c |}{col 14}{res}{space 2} .1541715{col 26}{space 2} .0671289{col 37}{space 1}    2.30{col 46}{space 3}0.023{col 54}{space 4} .0215793{col 67}{space 3} .2867638
{txt}mean_b_com~d {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
c_tf~_hc_hc2 {c |}{col 14}{res}{space 2} .0614173{col 26}{space 2} .0522542{col 37}{space 1}    1.18{col 46}{space 3}0.242{col 54}{space 4}-.0417946{col 67}{space 3} .1646292
{txt}c_tfull_hc~l {c |}{col 14}{res}{space 2} .0251005{col 26}{space 2} .0721827{col 37}{space 1}    0.35{col 46}{space 3}0.729{col 54}{space 4}-.1174739{col 67}{space 3} .1676749
{txt}c_tfull_hc~s {c |}{col 14}{res}{space 2} .0021018{col 26}{space 2}  .076922{col 37}{space 1}    0.03{col 46}{space 3}0.978{col 54}{space 4}-.1498336{col 67}{space 3} .1540372
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2}-.2096653{col 26}{space 2} .2381782{col 37}{space 1}   -0.88{col 46}{space 3}0.380{col 54}{space 4}-.6801122{col 67}{space 3} .2607817
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2}  .000942{col 26}{space 2} .0212162{col 37}{space 1}    0.04{col 46}{space 3}0.965{col 54}{space 4}-.0409639{col 67}{space 3} .0428479
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2}-.0355934{col 26}{space 2}  .075086{col 37}{space 1}   -0.47{col 46}{space 3}0.636{col 54}{space 4}-.1839024{col 67}{space 3} .1127157
{txt}c_treatful.. {c |}{col 14}{res}{space 2} .0386656{col 26}{space 2} .0652217{col 37}{space 1}    0.59{col 46}{space 3}0.554{col 54}{space 4}-.0901595{col 67}{space 3} .1674908
{txt}c_treatful.. {c |}{col 14}{res}{space 2} .0726086{col 26}{space 2} .0854361{col 37}{space 1}    0.85{col 46}{space 3}0.397{col 54}{space 4}-.0961438{col 67}{space 3}  .241361
{txt}c_treatful.. {c |}{col 14}{res}{space 2}-.0380172{col 26}{space 2} .0868396{col 37}{space 1}   -0.44{col 46}{space 3}0.662{col 54}{space 4}-.2095418{col 67}{space 3} .1335074
{txt}c_treatful.. {c |}{col 14}{res}{space 2} .6734442{col 26}{space 2} .3559144{col 37}{space 1}    1.89{col 46}{space 3}0.060{col 54}{space 4}-.0295542{col 67}{space 3} 1.376443
{txt}c_treatful.. {c |}{col 14}{res}{space 2}-.0032413{col 26}{space 2} .0353271{col 37}{space 1}   -0.09{col 46}{space 3}0.927{col 54}{space 4} -.073019{col 67}{space 3} .0665364
{txt}c_treatful.. {c |}{col 14}{res}{space 2}  .004977{col 26}{space 2} .0878248{col 37}{space 1}    0.06{col 46}{space 3}0.955{col 54}{space 4}-.1684936{col 67}{space 3} .1784477
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} .0038766{col 26}{space 2} .0199776{col 37}{space 1}    0.19{col 46}{space 3}0.846{col 54}{space 4} -.035583{col 67}{space 3} .0433361
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{com}. 
.         eststo clear
{txt}
{com}.                         
.         foreach x in `indices_hc' {c -(}
{txt}  2{com}.                 areg  mean_e_`x' `var' mean_b_`x' `e_controls_tfull_hc' ``var'_hc_int_e_controls' if uniquehc == 1, robust a(district)
{txt}  3{com}.                 local n_mean_`x' = string(`e(N)',"%9.0fc")
{txt}  4{com}.                 local b_mean_`x' = string(_b[treatfull],"%9.3fc")
{txt}  5{com}.                 local se_mean_`x' =string(_se[treatfull],"%9.3fc")
{txt}  6{com}.                 local p_mean_`x' = (2 * ttail(e(df_r), abs(_b[treatfull]/_se[treatfull])))
{txt}  7{com}.                         
.                 if `p_mean_`x'' <= 0.1 & `p_mean_`x'' > 0.05{c -(}
{txt}  8{com}.                         local b_mean_`x' `b_mean_`x''*
{txt}  9{com}.                 {c )-}
{txt} 10{com}.         
.                 if `p_mean_`x'' <= 0.05 & `p_mean_`x'' > 0.01{c -(}
{txt} 11{com}.                         local b_mean_`x' `b_mean_`x''**
{txt} 12{com}.                 {c )-}
{txt} 13{com}.                 
.                 if `p_mean_`x'' <= 0.01 & `p_mean_`x'' > 0 {c -(}
{txt} 14{com}.                         local b_mean_`x' `b_mean_`x''***
{txt} 15{com}.                 {c )-}
{txt} 16{com}.                 
.                 local csb_mean_`x' = string(_b[_cons],"%9.3fc")
{txt} 17{com}.                 local csse_mean_`x' =string(_se[_cons],"%9.3fc")
{txt} 18{com}.                 local p_mean_`x' = (2 * ttail(e(df_r), abs(_b[_cons]/_se[_cons])))
{txt} 19{com}.                         
.                 if `p_mean_`x'' <= 0.1 & `p_mean_`x'' > 0.05{c -(}
{txt} 20{com}.                         local csb_mean_`x' `csb_mean_`x''*
{txt} 21{com}.                 {c )-}
{txt} 22{com}.         
.                 if `p_mean_`x'' <= 0.05 & `p_mean_`x'' > 0.01{c -(}
{txt} 23{com}.                         local csb_mean_`x' `csb_mean_`x''**
{txt} 24{com}.                 {c )-}
{txt} 25{com}.                 
.                 if `p_mean_`x'' <= 0.01 & `p_mean_`x'' > 0 {c -(}
{txt} 26{com}.                         local csb_mean_`x' `csb_mean_`x''***
{txt} 27{com}.                 {c )-}
{txt} 28{com}.                 
.                 {c )-}
{res}
{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}       187
{txt}{col 49}F({res}  14{txt},{res}    157{txt}){col 67}= {res}      1.41
{txt}{col 49}Prob > F{col 67}= {res}    0.1530
{txt}{col 49}R-squared{col 67}= {res}    0.1974
{txt}{col 49}Adj R-squared{col 67}= {res}    0.0492
{txt}{col 49}Root MSE{col 67}= {res}    0.0534

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}mean_e_mo~05{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2}-.0105267{col 26}{space 2} .0079551{col 37}{space 1}   -1.32{col 46}{space 3}0.188{col 54}{space 4}-.0262397{col 67}{space 3} .0051862
{txt}mean_b_mo~05 {c |}{col 14}{res}{space 2} .0808291{col 26}{space 2}  .065325{col 37}{space 1}    1.24{col 46}{space 3}0.218{col 54}{space 4}-.0482001{col 67}{space 3} .2098583
{txt}c_tf~_hc_hc2 {c |}{col 14}{res}{space 2} .0083737{col 26}{space 2} .0168654{col 37}{space 1}    0.50{col 46}{space 3}0.620{col 54}{space 4}-.0249386{col 67}{space 3} .0416859
{txt}c_tfull_hc~l {c |}{col 14}{res}{space 2} .0020266{col 26}{space 2} .0211816{col 37}{space 1}    0.10{col 46}{space 3}0.924{col 54}{space 4}-.0398112{col 67}{space 3} .0438643
{txt}c_tfull_hc~s {c |}{col 14}{res}{space 2} .0115205{col 26}{space 2} .0223521{col 37}{space 1}    0.52{col 46}{space 3}0.607{col 54}{space 4}-.0326291{col 67}{space 3}   .05567
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2} .0310707{col 26}{space 2} .0567591{col 37}{space 1}    0.55{col 46}{space 3}0.585{col 54}{space 4}-.0810392{col 67}{space 3} .1431807
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2}-.0063919{col 26}{space 2} .0071613{col 37}{space 1}   -0.89{col 46}{space 3}0.373{col 54}{space 4}-.0205367{col 67}{space 3} .0077529
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2} .0158802{col 26}{space 2} .0211947{col 37}{space 1}    0.75{col 46}{space 3}0.455{col 54}{space 4}-.0259833{col 67}{space 3} .0577437
{txt}c_treatful.. {c |}{col 14}{res}{space 2}-.0047529{col 26}{space 2} .0194419{col 37}{space 1}   -0.24{col 46}{space 3}0.807{col 54}{space 4}-.0431543{col 67}{space 3} .0336486
{txt}c_treatful.. {c |}{col 14}{res}{space 2}-.0018397{col 26}{space 2} .0234256{col 37}{space 1}   -0.08{col 46}{space 3}0.938{col 54}{space 4}-.0481097{col 67}{space 3} .0444302
{txt}c_treatful.. {c |}{col 14}{res}{space 2}-.0353364{col 26}{space 2} .0275786{col 37}{space 1}   -1.28{col 46}{space 3}0.202{col 54}{space 4}-.0898094{col 67}{space 3} .0191366
{txt}c_treatful.. {c |}{col 14}{res}{space 2}-.1735433{col 26}{space 2} .0910238{col 37}{space 1}   -1.91{col 46}{space 3}0.058{col 54}{space 4}-.3533325{col 67}{space 3}  .006246
{txt}c_treatful.. {c |}{col 14}{res}{space 2}-.0026096{col 26}{space 2} .0085994{col 37}{space 1}   -0.30{col 46}{space 3}0.762{col 54}{space 4}-.0195951{col 67}{space 3} .0143758
{txt}c_treatful.. {c |}{col 14}{res}{space 2} -.017001{col 26}{space 2} .0275689{col 37}{space 1}   -0.62{col 46}{space 3}0.538{col 54}{space 4}-.0714548{col 67}{space 3} .0374529
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} .0606025{col 26}{space 2} .0063477{col 37}{space 1}    9.55{col 46}{space 3}0.000{col 54}{space 4} .0480645{col 67}{space 3} .0731405
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)
{res}
{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}       187
{txt}{col 49}F({res}  14{txt},{res}    157{txt}){col 67}= {res}      1.24
{txt}{col 49}Prob > F{col 67}= {res}    0.2484
{txt}{col 49}R-squared{col 67}= {res}    0.1524
{txt}{col 49}Adj R-squared{col 67}= {res}   -0.0042
{txt}{col 49}Root MSE{col 67}= {res}    0.6902

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}mean_e_h_c~z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2}-.1398381{col 26}{space 2} .1016938{col 37}{space 1}   -1.38{col 46}{space 3}0.171{col 54}{space 4}-.3407026{col 67}{space 3} .0610265
{txt}mean_b_h_c~z {c |}{col 14}{res}{space 2} .0076511{col 26}{space 2} .0690759{col 37}{space 1}    0.11{col 46}{space 3}0.912{col 54}{space 4}-.1287869{col 67}{space 3} .1440891
{txt}c_tf~_hc_hc2 {c |}{col 14}{res}{space 2}-.0858617{col 26}{space 2} .1520159{col 37}{space 1}   -0.56{col 46}{space 3}0.573{col 54}{space 4}-.3861219{col 67}{space 3} .2143985
{txt}c_tfull_hc~l {c |}{col 14}{res}{space 2} .0656689{col 26}{space 2}  .195336{col 37}{space 1}    0.34{col 46}{space 3}0.737{col 54}{space 4}-.3201566{col 67}{space 3} .4514944
{txt}c_tfull_hc~s {c |}{col 14}{res}{space 2} .6333753{col 26}{space 2} .2576883{col 37}{space 1}    2.46{col 46}{space 3}0.015{col 54}{space 4} .1243921{col 67}{space 3} 1.142359
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2}-.6222355{col 26}{space 2} .5768423{col 37}{space 1}   -1.08{col 46}{space 3}0.282{col 54}{space 4}-1.761608{col 67}{space 3} .5171372
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2}-.0480568{col 26}{space 2}  .084333{col 37}{space 1}   -0.57{col 46}{space 3}0.570{col 54}{space 4}-.2146304{col 67}{space 3} .1185168
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2}-.1589857{col 26}{space 2} .2356689{col 37}{space 1}   -0.67{col 46}{space 3}0.501{col 54}{space 4}-.6244763{col 67}{space 3} .3065049
{txt}c_treatful.. {c |}{col 14}{res}{space 2} .0552366{col 26}{space 2} .2415604{col 37}{space 1}    0.23{col 46}{space 3}0.819{col 54}{space 4}-.4218909{col 67}{space 3}  .532364
{txt}c_treatful.. {c |}{col 14}{res}{space 2}-.1737508{col 26}{space 2} .2468112{col 37}{space 1}   -0.70{col 46}{space 3}0.482{col 54}{space 4}-.6612497{col 67}{space 3} .3137481
{txt}c_treatful.. {c |}{col 14}{res}{space 2}-.5837434{col 26}{space 2} .2777031{col 37}{space 1}   -2.10{col 46}{space 3}0.037{col 54}{space 4} -1.13226{col 67}{space 3}-.0352272
{txt}c_treatful.. {c |}{col 14}{res}{space 2} .9261883{col 26}{space 2} 1.020651{col 37}{space 1}    0.91{col 46}{space 3}0.366{col 54}{space 4}-1.089791{col 67}{space 3} 2.942167
{txt}c_treatful.. {c |}{col 14}{res}{space 2} .1509128{col 26}{space 2} .1198398{col 37}{space 1}    1.26{col 46}{space 3}0.210{col 54}{space 4}-.0857935{col 67}{space 3} .3876192
{txt}c_treatful.. {c |}{col 14}{res}{space 2}-.0460213{col 26}{space 2} .2763784{col 37}{space 1}   -0.17{col 46}{space 3}0.868{col 54}{space 4}-.5919209{col 67}{space 3} .4998783
{txt}{space 7}_cons {c |}{col 14}{res}{space 2}  .014802{col 26}{space 2} .0641678{col 37}{space 1}    0.23{col 46}{space 3}0.818{col 54}{space 4}-.1119416{col 67}{space 3} .1415456
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{com}.                 
.         ***********************************
.         * Diff in Diff endline - baseline *
.         ***********************************
.         
.         local add_control
{txt}
{com}.         
.         foreach var of local indices {c -(}
{txt}  2{com}.                 local add_control `add_control' b_`var'_d
{txt}  3{com}.                 {c )-}
{txt}
{com}.         
.         local var treatfull
{txt}
{com}.         
.         local e_indices e_urate_z e_treatqual_z e_treatqualalt_z e_patsat_z e_commtg_z
{txt}
{com}.         local e_indices_hc e_mortrate_05 e_h_ctzpressure_z
{txt}
{com}.         
.         local b_indices b_urate_z b_treatqual_z b_treatqualalt_z b_patsat_z b_commtg_z
{txt}
{com}.         local b_indices_hc b_mortrate_05 b_h_ctzpressure_z
{txt}
{com}.         
.         keep hh_id hc_id `add_control' `b_indices' `b_indices_hc' `e_indices' `e_indices_hc' `e_controls_tfull' `e_controls_tfull_hc' ``var'_int_e_controls' ``var'_hc_int_e_controls' district uniquehc treatfull endline_presence
{txt}
{com}.         
.         foreach x of local indices {c -(}
{txt}  2{com}.                 ren b_`x' `x'_b
{txt}  3{com}.                 ren e_`x' `x'_e
{txt}  4{com}.                 {c )-}
{res}{txt}
{com}.                 
.         foreach x of local indices_hc {c -(}
{txt}  2{com}.                 ren b_`x' `x'_b
{txt}  3{com}.                 ren e_`x' `x'_e
{txt}  4{com}.                 {c )-}
{res}{txt}
{com}.                 
.         reshape long `indices' `indices_hc' , i(hh_id) j(num) s
{txt}(note: j = _b _e)

Data{col 36}wide{col 43}->{col 48}long
{hline 77}
Number of obs.                 {res}   15295   {txt}->{res}   30590
{txt}Number of variables            {res}      49   {txt}->{res}      43
{txt}j variable (2 values)                     ->   {res}num
{txt}xij variables:
                    {res}urate_z_b urate_z_e   {txt}->   {res}urate_z
            treatqual_z_b treatqual_z_e   {txt}->   {res}treatqual_z
      treatqualalt_z_b treatqualalt_z_e   {txt}->   {res}treatqualalt_z
                  patsat_z_b patsat_z_e   {txt}->   {res}patsat_z
                  commtg_z_b commtg_z_e   {txt}->   {res}commtg_z
            mortrate_05_b mortrate_05_e   {txt}->   {res}mortrate_05
    h_ctzpressure_z_b h_ctzpressure_z_e   {txt}->   {res}h_ctzpressure_z
{txt}{hline 77}

{com}.         
.         gen y16 = (num == "_e")
{txt}
{com}.         
.         drop num
{txt}
{com}.         
.         gen t_16 = treatfull*y16
{txt}(15,354 missing values generated)

{com}.         
.         local indices urate_z treatqual_z treatqualalt_z patsat_z commtg_z
{txt}
{com}.         
.         foreach x in `indices' {c -(}
{txt}  2{com}.                 areg `x' t_16 y16 b_`x'_d `e_controls_tfull' ``var'_int_e_controls' if endline_presence == 1, robust cl(hc_id) a(district)
{txt}  3{com}.                 local n_dd_`x' = string(`e(N)',"%9.0fc")
{txt}  4{com}.                 local b_dd_`x' = string(_b[t_16],"%9.3fc")
{txt}  5{com}.                 local se_dd_`x' =string(_se[t_16],"%9.3fc")
{txt}  6{com}.                 local p_dd_`x' = (2 * ttail(e(df_r), abs(_b[t_16]/_se[t_16])))
{txt}  7{com}.                         
.                 if `p_dd_`x'' <= 0.1 & `p_dd_`x'' > 0.05{c -(}
{txt}  8{com}.                         local b_dd_`x' `b_dd_`x''*
{txt}  9{com}.                 {c )-}
{txt} 10{com}.         
.                 if `p_dd_`x'' <= 0.05 & `p_dd_`x'' > 0.01{c -(}
{txt} 11{com}.                         local b_dd_`x' `b_dd_`x''**
{txt} 12{com}.                 {c )-}
{txt} 13{com}.                 
.                 if `p_dd_`x'' <= 0.01 & `p_dd_`x'' > 0 {c -(}
{txt} 14{com}.                         local b_dd_`x' `b_dd_`x''***
{txt} 15{com}.                 {c )-}
{txt} 16{com}.                 
.                 local csb_dd_`x' = string(_b[_cons],"%9.3fc")
{txt} 17{com}.                 local csse_dd_`x' =string(_se[_cons],"%9.3fc")
{txt} 18{com}.                 local p_dd_`x' = (2 * ttail(e(df_r), abs(_b[_cons]/_se[_cons])))
{txt} 19{com}.                         
.                 if `p_dd_`x'' <= 0.1 & `p_dd_`x'' > 0.05{c -(}
{txt} 20{com}.                         local csb_dd_`x' `csb_dd_`x''*
{txt} 21{com}.                 {c )-}
{txt} 22{com}.         
.                 if `p_dd_`x'' <= 0.05 & `p_dd_`x'' > 0.01{c -(}
{txt} 23{com}.                         local csb_dd_`x' `csb_dd_`x''**
{txt} 24{com}.                 {c )-}
{txt} 25{com}.                 
.                 if `p_dd_`x'' <= 0.01 & `p_dd_`x'' > 0 {c -(}
{txt} 26{com}.                         local csb_dd_`x' `csb_dd_`x''***
{txt} 27{com}.                 {c )-}
{txt} 28{com}.                 
.                 {c )-}
{txt}note: b_urate_z_d omitted because of collinearity
{res}
{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}    14,576
{txt}{col 49}F({res}  14{txt},{res}    186{txt}){col 67}= {res}     71.57
{txt}{col 49}Prob > F{col 67}= {res}    0.0000
{txt}{col 49}R-squared{col 67}= {res}    0.1818
{txt}{col 49}Adj R-squared{col 67}= {res}    0.1801
{txt}{col 49}Root MSE{col 67}= {res}    0.6535

{txt}{ralign 78:(Std. Err. adjusted for {res:187} clusters in hc_id)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}     urate_z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 8}t_16 {c |}{col 14}{res}{space 2} .0036886{col 26}{space 2} .0251683{col 37}{space 1}    0.15{col 46}{space 3}0.884{col 54}{space 4}-.0459634{col 67}{space 3} .0533407
{txt}{space 9}y16 {c |}{col 14}{res}{space 2} .0068979{col 26}{space 2} .0179295{col 37}{space 1}    0.38{col 46}{space 3}0.701{col 54}{space 4}-.0284735{col 67}{space 3} .0422693
{txt}{space 1}b_urate_z_d {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 1}c_tfull_hc2 {c |}{col 14}{res}{space 2} .0375564{col 26}{space 2} .0392103{col 37}{space 1}    0.96{col 46}{space 3}0.339{col 54}{space 4}-.0397978{col 67}{space 3} .1149106
{txt}c_tfull_b_~l {c |}{col 14}{res}{space 2} .0718326{col 26}{space 2} .0525733{col 37}{space 1}    1.37{col 46}{space 3}0.173{col 54}{space 4}-.0318841{col 67}{space 3} .1755493
{txt}c_tfull_b_~s {c |}{col 14}{res}{space 2} .0191738{col 26}{space 2} .0537152{col 37}{space 1}    0.36{col 46}{space 3}0.722{col 54}{space 4}-.0867955{col 67}{space 3} .1251431
{txt}c_tfull_b_~d {c |}{col 14}{res}{space 2} .7831634{col 26}{space 2} .0408456{col 37}{space 1}   19.17{col 46}{space 3}0.000{col 54}{space 4} .7025832{col 67}{space 3} .8637435
{txt}c_tfull_ed~r {c |}{col 14}{res}{space 2}-.0143428{col 26}{space 2} .0021724{col 37}{space 1}   -6.60{col 46}{space 3}0.000{col 54}{space 4}-.0186285{col 67}{space 3}-.0100571
{txt}c_tfull_b_~x {c |}{col 14}{res}{space 2}-.0484247{col 26}{space 2} .0117064{col 37}{space 1}   -4.14{col 46}{space 3}0.000{col 54}{space 4}-.0715191{col 67}{space 3}-.0253303
{txt}c_trea~l_hc2 {c |}{col 14}{res}{space 2}-.0150721{col 26}{space 2} .0508892{col 37}{space 1}   -0.30{col 46}{space 3}0.767{col 54}{space 4}-.1154663{col 67}{space 3} .0853222
{txt}c_treatful.. {c |}{col 14}{res}{space 2} .0200382{col 26}{space 2} .0590812{col 37}{space 1}    0.34{col 46}{space 3}0.735{col 54}{space 4}-.0965172{col 67}{space 3} .1365936
{txt}c_treatful.. {c |}{col 14}{res}{space 2} .0063234{col 26}{space 2} .0730099{col 37}{space 1}    0.09{col 46}{space 3}0.931{col 54}{space 4}-.1377105{col 67}{space 3} .1503573
{txt}c_treatful.. {c |}{col 14}{res}{space 2}-.0157175{col 26}{space 2} .0550107{col 37}{space 1}   -0.29{col 46}{space 3}0.775{col 54}{space 4}-.1242425{col 67}{space 3} .0928075
{txt}c_treatful.. {c |}{col 14}{res}{space 2} .0047639{col 26}{space 2} .0033965{col 37}{space 1}    1.40{col 46}{space 3}0.162{col 54}{space 4}-.0019367{col 67}{space 3} .0114645
{txt}c_treatful.. {c |}{col 14}{res}{space 2} .0153868{col 26}{space 2} .0163131{col 37}{space 1}    0.94{col 46}{space 3}0.347{col 54}{space 4}-.0167957{col 67}{space 3} .0475693
{txt}{space 7}_cons {c |}{col 14}{res}{space 2}-.0229615{col 26}{space 2} .0120437{col 37}{space 1}   -1.91{col 46}{space 3}0.058{col 54}{space 4}-.0467212{col 67}{space 3} .0007982
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)
note: b_treatqual_z_d omitted because of collinearity
{res}
{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}    14,576
{txt}{col 49}F({res}  14{txt},{res}    186{txt}){col 67}= {res}      2.96
{txt}{col 49}Prob > F{col 67}= {res}    0.0004
{txt}{col 49}R-squared{col 67}= {res}    0.0643
{txt}{col 49}Adj R-squared{col 67}= {res}    0.0625
{txt}{col 49}Root MSE{col 67}= {res}    0.3658

{txt}{ralign 78:(Std. Err. adjusted for {res:187} clusters in hc_id)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1} treatqual_z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 8}t_16 {c |}{col 14}{res}{space 2} .0742645{col 26}{space 2} .0282407{col 37}{space 1}    2.63{col 46}{space 3}0.009{col 54}{space 4} .0185512{col 67}{space 3} .1299779
{txt}{space 9}y16 {c |}{col 14}{res}{space 2}-.0196951{col 26}{space 2} .0257918{col 37}{space 1}   -0.76{col 46}{space 3}0.446{col 54}{space 4}-.0705771{col 67}{space 3} .0311869
{txt}b_trea~l_z_d {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 1}c_tfull_hc2 {c |}{col 14}{res}{space 2}-.0228309{col 26}{space 2} .0404069{col 37}{space 1}   -0.57{col 46}{space 3}0.573{col 54}{space 4}-.1025457{col 67}{space 3} .0568839
{txt}c_tfull_b_~l {c |}{col 14}{res}{space 2} .0651683{col 26}{space 2} .0458083{col 37}{space 1}    1.42{col 46}{space 3}0.157{col 54}{space 4}-.0252023{col 67}{space 3} .1555389
{txt}c_tfull_b_~s {c |}{col 14}{res}{space 2} .0594079{col 26}{space 2} .0530461{col 37}{space 1}    1.12{col 46}{space 3}0.264{col 54}{space 4}-.0452414{col 67}{space 3} .1640572
{txt}c_tfull_b_~d {c |}{col 14}{res}{space 2}-.0448446{col 26}{space 2} .0179581{col 37}{space 1}   -2.50{col 46}{space 3}0.013{col 54}{space 4}-.0802724{col 67}{space 3}-.0094168
{txt}c_tfull_ed~r {c |}{col 14}{res}{space 2}-.0020419{col 26}{space 2} .0014181{col 37}{space 1}   -1.44{col 46}{space 3}0.152{col 54}{space 4}-.0048396{col 67}{space 3} .0007557
{txt}c_tfull_b_~x {c |}{col 14}{res}{space 2}-.0059962{col 26}{space 2} .0067652{col 37}{space 1}   -0.89{col 46}{space 3}0.377{col 54}{space 4}-.0193426{col 67}{space 3} .0073502
{txt}c_trea~l_hc2 {c |}{col 14}{res}{space 2}-.0430628{col 26}{space 2} .0538875{col 37}{space 1}   -0.80{col 46}{space 3}0.425{col 54}{space 4}-.1493721{col 67}{space 3} .0632465
{txt}c_treatful.. {c |}{col 14}{res}{space 2}-.0498359{col 26}{space 2} .0583336{col 37}{space 1}   -0.85{col 46}{space 3}0.394{col 54}{space 4}-.1649164{col 67}{space 3} .0652447
{txt}c_treatful.. {c |}{col 14}{res}{space 2}  -.01796{col 26}{space 2} .0750888{col 37}{space 1}   -0.24{col 46}{space 3}0.811{col 54}{space 4}-.1660952{col 67}{space 3} .1301752
{txt}c_treatful.. {c |}{col 14}{res}{space 2} .0838178{col 26}{space 2} .0242672{col 37}{space 1}    3.45{col 46}{space 3}0.001{col 54}{space 4} .0359434{col 67}{space 3} .1316922
{txt}c_treatful.. {c |}{col 14}{res}{space 2} .0018365{col 26}{space 2} .0018445{col 37}{space 1}    1.00{col 46}{space 3}0.321{col 54}{space 4}-.0018023{col 67}{space 3} .0054754
{txt}c_treatful.. {c |}{col 14}{res}{space 2}-.0006869{col 26}{space 2} .0106733{col 37}{space 1}   -0.06{col 46}{space 3}0.949{col 54}{space 4}-.0217432{col 67}{space 3} .0203693
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} .0201033{col 26}{space 2} .0162639{col 37}{space 1}    1.24{col 46}{space 3}0.218{col 54}{space 4}-.0119822{col 67}{space 3} .0521888
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)
note: b_treatqualalt_z_d omitted because of collinearity
{res}
{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}    14,576
{txt}{col 49}F({res}  14{txt},{res}    186{txt}){col 67}= {res}      5.09
{txt}{col 49}Prob > F{col 67}= {res}    0.0000
{txt}{col 49}R-squared{col 67}= {res}    0.0391
{txt}{col 49}Adj R-squared{col 67}= {res}    0.0372
{txt}{col 49}Root MSE{col 67}= {res}    0.4804

{txt}{ralign 78:(Std. Err. adjusted for {res:187} clusters in hc_id)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}treatquala~z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 8}t_16 {c |}{col 14}{res}{space 2} .0393753{col 26}{space 2}  .022047{col 37}{space 1}    1.79{col 46}{space 3}0.076{col 54}{space 4}-.0041191{col 67}{space 3} .0828697
{txt}{space 9}y16 {c |}{col 14}{res}{space 2}-.0121157{col 26}{space 2} .0202966{col 37}{space 1}   -0.60{col 46}{space 3}0.551{col 54}{space 4}-.0521568{col 67}{space 3} .0279255
{txt}b_trea~t_z_d {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 1}c_tfull_hc2 {c |}{col 14}{res}{space 2}-.0704617{col 26}{space 2} .0316218{col 37}{space 1}   -2.23{col 46}{space 3}0.027{col 54}{space 4}-.1328453{col 67}{space 3}-.0080782
{txt}c_tfull_b_~l {c |}{col 14}{res}{space 2} .0629307{col 26}{space 2} .0357125{col 37}{space 1}    1.76{col 46}{space 3}0.080{col 54}{space 4} -.007523{col 67}{space 3} .1333844
{txt}c_tfull_b_~s {c |}{col 14}{res}{space 2} .0401146{col 26}{space 2} .0393711{col 37}{space 1}    1.02{col 46}{space 3}0.310{col 54}{space 4}-.0375566{col 67}{space 3} .1177859
{txt}c_tfull_b_~d {c |}{col 14}{res}{space 2}-.0242534{col 26}{space 2} .0209727{col 37}{space 1}   -1.16{col 46}{space 3}0.249{col 54}{space 4}-.0656284{col 67}{space 3} .0171215
{txt}c_tfull_ed~r {c |}{col 14}{res}{space 2}-.0015744{col 26}{space 2} .0016857{col 37}{space 1}   -0.93{col 46}{space 3}0.352{col 54}{space 4}-.0049001{col 67}{space 3} .0017512
{txt}c_tfull_b_~x {c |}{col 14}{res}{space 2}-.0170252{col 26}{space 2} .0075471{col 37}{space 1}   -2.26{col 46}{space 3}0.025{col 54}{space 4}-.0319141{col 67}{space 3}-.0021362
{txt}c_trea~l_hc2 {c |}{col 14}{res}{space 2}-.0085293{col 26}{space 2} .0388558{col 37}{space 1}   -0.22{col 46}{space 3}0.826{col 54}{space 4}-.0851839{col 67}{space 3} .0681254
{txt}c_treatful.. {c |}{col 14}{res}{space 2}-.0379863{col 26}{space 2} .0415296{col 37}{space 1}   -0.91{col 46}{space 3}0.362{col 54}{space 4}-.1199158{col 67}{space 3} .0439432
{txt}c_treatful.. {c |}{col 14}{res}{space 2}-.0475572{col 26}{space 2} .0482373{col 37}{space 1}   -0.99{col 46}{space 3}0.325{col 54}{space 4}-.1427197{col 67}{space 3} .0476054
{txt}c_treatful.. {c |}{col 14}{res}{space 2} .0686102{col 26}{space 2} .0261697{col 37}{space 1}    2.62{col 46}{space 3}0.009{col 54}{space 4} .0169827{col 67}{space 3} .1202378
{txt}c_treatful.. {c |}{col 14}{res}{space 2} .0027181{col 26}{space 2} .0022257{col 37}{space 1}    1.22{col 46}{space 3}0.224{col 54}{space 4}-.0016728{col 67}{space 3}  .007109
{txt}c_treatful.. {c |}{col 14}{res}{space 2} .0004534{col 26}{space 2} .0106384{col 37}{space 1}    0.04{col 46}{space 3}0.966{col 54}{space 4} -.020534{col 67}{space 3} .0214409
{txt}{space 7}_cons {c |}{col 14}{res}{space 2}  .009872{col 26}{space 2} .0122887{col 37}{space 1}    0.80{col 46}{space 3}0.423{col 54}{space 4}-.0143711{col 67}{space 3}  .034115
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)
note: b_patsat_z_d omitted because of collinearity
{res}
{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}    14,576
{txt}{col 49}F({res}  14{txt},{res}    186{txt}){col 67}= {res}      3.28
{txt}{col 49}Prob > F{col 67}= {res}    0.0001
{txt}{col 49}R-squared{col 67}= {res}    0.0188
{txt}{col 49}Adj R-squared{col 67}= {res}    0.0168
{txt}{col 49}Root MSE{col 67}= {res}    0.6268

{txt}{ralign 78:(Std. Err. adjusted for {res:187} clusters in hc_id)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}    patsat_z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 8}t_16 {c |}{col 14}{res}{space 2} .0667922{col 26}{space 2} .0251119{col 37}{space 1}    2.66{col 46}{space 3}0.009{col 54}{space 4} .0172514{col 67}{space 3}  .116333
{txt}{space 9}y16 {c |}{col 14}{res}{space 2} .0121964{col 26}{space 2} .0215205{col 37}{space 1}    0.57{col 46}{space 3}0.572{col 54}{space 4}-.0302592{col 67}{space 3}  .054652
{txt}b_patsat_z_d {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 1}c_tfull_hc2 {c |}{col 14}{res}{space 2} .0295537{col 26}{space 2} .0316243{col 37}{space 1}    0.93{col 46}{space 3}0.351{col 54}{space 4}-.0328348{col 67}{space 3} .0919422
{txt}c_tfull_b_~l {c |}{col 14}{res}{space 2} .0591942{col 26}{space 2} .0414243{col 37}{space 1}    1.43{col 46}{space 3}0.155{col 54}{space 4}-.0225277{col 67}{space 3} .1409162
{txt}c_tfull_b_~s {c |}{col 14}{res}{space 2} .0604314{col 26}{space 2} .0512537{col 37}{space 1}    1.18{col 46}{space 3}0.240{col 54}{space 4} -.040682{col 67}{space 3} .1615448
{txt}c_tfull_b_~d {c |}{col 14}{res}{space 2}-.0321736{col 26}{space 2} .0335495{col 37}{space 1}   -0.96{col 46}{space 3}0.339{col 54}{space 4}  -.09836{col 67}{space 3} .0340128
{txt}c_tfull_ed~r {c |}{col 14}{res}{space 2}-.0004943{col 26}{space 2} .0019619{col 37}{space 1}   -0.25{col 46}{space 3}0.801{col 54}{space 4}-.0043647{col 67}{space 3}  .003376
{txt}c_tfull_b_~x {c |}{col 14}{res}{space 2} .0335265{col 26}{space 2} .0085433{col 37}{space 1}    3.92{col 46}{space 3}0.000{col 54}{space 4} .0166723{col 67}{space 3} .0503807
{txt}c_trea~l_hc2 {c |}{col 14}{res}{space 2}-.0902462{col 26}{space 2} .0489153{col 37}{space 1}   -1.84{col 46}{space 3}0.067{col 54}{space 4}-.1867464{col 67}{space 3}  .006254
{txt}c_treatful.. {c |}{col 14}{res}{space 2}-.1107891{col 26}{space 2} .0584834{col 37}{space 1}   -1.89{col 46}{space 3}0.060{col 54}{space 4} -.226165{col 67}{space 3} .0045869
{txt}c_treatful.. {c |}{col 14}{res}{space 2}-.0065015{col 26}{space 2} .0639258{col 37}{space 1}   -0.10{col 46}{space 3}0.919{col 54}{space 4}-.1326144{col 67}{space 3} .1196114
{txt}c_treatful.. {c |}{col 14}{res}{space 2} .0517143{col 26}{space 2} .0391514{col 37}{space 1}    1.32{col 46}{space 3}0.188{col 54}{space 4}-.0255236{col 67}{space 3} .1289522
{txt}c_treatful.. {c |}{col 14}{res}{space 2} .0043195{col 26}{space 2} .0029121{col 37}{space 1}    1.48{col 46}{space 3}0.140{col 54}{space 4}-.0014254{col 67}{space 3} .0100644
{txt}c_treatful.. {c |}{col 14}{res}{space 2}-.0295358{col 26}{space 2} .0134097{col 37}{space 1}   -2.20{col 46}{space 3}0.029{col 54}{space 4}-.0559904{col 67}{space 3}-.0030812
{txt}{space 7}_cons {c |}{col 14}{res}{space 2}-.0107149{col 26}{space 2} .0147055{col 37}{space 1}   -0.73{col 46}{space 3}0.467{col 54}{space 4}-.0397259{col 67}{space 3}  .018296
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)
note: b_commtg_z_d omitted because of collinearity
{res}
{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}    14,576
{txt}{col 49}F({res}  14{txt},{res}    186{txt}){col 67}= {res}      3.75
{txt}{col 49}Prob > F{col 67}= {res}    0.0000
{txt}{col 49}R-squared{col 67}= {res}    0.0415
{txt}{col 49}Adj R-squared{col 67}= {res}    0.0395
{txt}{col 49}Root MSE{col 67}= {res}    0.6309

{txt}{ralign 78:(Std. Err. adjusted for {res:187} clusters in hc_id)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}    commtg_z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 8}t_16 {c |}{col 14}{res}{space 2} .0129623{col 26}{space 2} .0322896{col 37}{space 1}    0.40{col 46}{space 3}0.689{col 54}{space 4}-.0507387{col 67}{space 3} .0766633
{txt}{space 9}y16 {c |}{col 14}{res}{space 2}-.0270827{col 26}{space 2} .0296156{col 37}{space 1}   -0.91{col 46}{space 3}0.362{col 54}{space 4}-.0855083{col 67}{space 3} .0313429
{txt}b_commtg_z_d {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 1}c_tfull_hc2 {c |}{col 14}{res}{space 2} .1588835{col 26}{space 2} .0502019{col 37}{space 1}    3.16{col 46}{space 3}0.002{col 54}{space 4} .0598453{col 67}{space 3} .2579218
{txt}c_tfull_b_~l {c |}{col 14}{res}{space 2} .0352293{col 26}{space 2} .0717358{col 37}{space 1}    0.49{col 46}{space 3}0.624{col 54}{space 4}-.1062911{col 67}{space 3} .1767498
{txt}c_tfull_b_~s {c |}{col 14}{res}{space 2}-.0504381{col 26}{space 2} .0866923{col 37}{space 1}   -0.58{col 46}{space 3}0.561{col 54}{space 4}-.2214647{col 67}{space 3} .1205885
{txt}c_tfull_b_~d {c |}{col 14}{res}{space 2} .0041363{col 26}{space 2} .0407962{col 37}{space 1}    0.10{col 46}{space 3}0.919{col 54}{space 4}-.0763465{col 67}{space 3} .0846191
{txt}c_tfull_ed~r {c |}{col 14}{res}{space 2}  .000026{col 26}{space 2} .0018476{col 37}{space 1}    0.01{col 46}{space 3}0.989{col 54}{space 4}-.0036189{col 67}{space 3} .0036709
{txt}c_tfull_b_~x {c |}{col 14}{res}{space 2} .0054715{col 26}{space 2} .0112771{col 37}{space 1}    0.49{col 46}{space 3}0.628{col 54}{space 4} -.016776{col 67}{space 3} .0277191
{txt}c_trea~l_hc2 {c |}{col 14}{res}{space 2}-.0333568{col 26}{space 2} .0623408{col 37}{space 1}   -0.54{col 46}{space 3}0.593{col 54}{space 4}-.1563426{col 67}{space 3} .0896291
{txt}c_treatful.. {c |}{col 14}{res}{space 2}-.0179508{col 26}{space 2} .0780301{col 37}{space 1}   -0.23{col 46}{space 3}0.818{col 54}{space 4}-.1718887{col 67}{space 3}  .135987
{txt}c_treatful.. {c |}{col 14}{res}{space 2} .1127507{col 26}{space 2} .0836046{col 37}{space 1}    1.35{col 46}{space 3}0.179{col 54}{space 4}-.0521845{col 67}{space 3}  .277686
{txt}c_treatful.. {c |}{col 14}{res}{space 2} .0741268{col 26}{space 2} .0491225{col 37}{space 1}    1.51{col 46}{space 3}0.133{col 54}{space 4} -.022782{col 67}{space 3} .1710356
{txt}c_treatful.. {c |}{col 14}{res}{space 2} .0019724{col 26}{space 2}  .002837{col 37}{space 1}    0.70{col 46}{space 3}0.488{col 54}{space 4}-.0036244{col 67}{space 3} .0075692
{txt}c_treatful.. {c |}{col 14}{res}{space 2} .0103195{col 26}{space 2} .0168157{col 37}{space 1}    0.61{col 46}{space 3}0.540{col 54}{space 4}-.0228546{col 67}{space 3} .0434935
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} .0293611{col 26}{space 2} .0208311{col 37}{space 1}    1.41{col 46}{space 3}0.160{col 54}{space 4}-.0117344{col 67}{space 3} .0704567
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{com}.                 
.         eststo clear
{txt}
{com}.         
.         foreach x in `indices_hc' {c -(}
{txt}  2{com}.                 areg `x' t_16 y16 `e_controls_tfull_hc' ``var'_hc_int_e_controls' if uniquehc == 1, robust a(district)
{txt}  3{com}.                 local n_dd_`x' = string(`e(N)',"%9.0fc")
{txt}  4{com}.                 local b_dd_`x' = string(_b[t_16],"%9.3fc")
{txt}  5{com}.                 local se_dd_`x' =string(_se[t_16],"%9.3fc")
{txt}  6{com}.                 local p_dd_`x' = (2 * ttail(e(df_r), abs(_b[t_16]/_se[t_16])))
{txt}  7{com}.                         
.                 if `p_dd_`x'' <= 0.1 & `p_dd_`x'' > 0.05{c -(}
{txt}  8{com}.                         local b_dd_`x' `b_dd_`x''*
{txt}  9{com}.                 {c )-}
{txt} 10{com}.         
.                 if `p_dd_`x'' <= 0.05 & `p_dd_`x'' > 0.01{c -(}
{txt} 11{com}.                         local b_dd_`x' `b_dd_`x''**
{txt} 12{com}.                 {c )-}
{txt} 13{com}.                 
.                 if `p_dd_`x'' <= 0.01 & `p_dd_`x'' > 0 {c -(}
{txt} 14{com}.                         local b_dd_`x' `b_dd_`x''***
{txt} 15{com}.                 {c )-}
{txt} 16{com}.                 
.                 local csb_dd_`x' = string(_b[_cons],"%9.3fc")
{txt} 17{com}.                 local csse_dd_`x' =string(_se[_cons],"%9.3fc")
{txt} 18{com}.                 local p_dd_`x' = (2 * ttail(e(df_r), abs(_b[_cons]/_se[_cons])))
{txt} 19{com}.                         
.                 if `p_dd_`x'' <= 0.1 & `p_dd_`x'' > 0.05{c -(}
{txt} 20{com}.                         local csb_dd_`x' `csb_dd_`x''*
{txt} 21{com}.                 {c )-}
{txt} 22{com}.         
.                 if `p_dd_`x'' <= 0.05 & `p_dd_`x'' > 0.01{c -(}
{txt} 23{com}.                         local csb_dd_`x' `csb_dd_`x''**
{txt} 24{com}.                 {c )-}
{txt} 25{com}.                 
.                 if `p_dd_`x'' <= 0.01 & `p_dd_`x'' > 0 {c -(}
{txt} 26{com}.                         local csb_dd_`x' `csb_dd_`x''***
{txt} 27{com}.                 {c )-}
{txt} 28{com}.                 
.                 {c )-}
{res}
{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}       374
{txt}{col 49}F({res}  14{txt},{res}    344{txt}){col 67}= {res}      1.04
{txt}{col 49}Prob > F{col 67}= {res}    0.4115
{txt}{col 49}R-squared{col 67}= {res}    0.0806
{txt}{col 49}Adj R-squared{col 67}= {res}    0.0031
{txt}{col 49}Root MSE{col 67}= {res}    0.0609

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1} mortrate_05{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 8}t_16 {c |}{col 14}{res}{space 2}-.0080152{col 26}{space 2} .0083284{col 37}{space 1}   -0.96{col 46}{space 3}0.337{col 54}{space 4}-.0243962{col 67}{space 3} .0083659
{txt}{space 9}y16 {c |}{col 14}{res}{space 2} .0179033{col 26}{space 2} .0076086{col 37}{space 1}    2.35{col 46}{space 3}0.019{col 54}{space 4}  .002938{col 67}{space 3} .0328686
{txt}c_tful~c_hc2 {c |}{col 14}{res}{space 2}  .013944{col 26}{space 2} .0118381{col 37}{space 1}    1.18{col 46}{space 3}0.240{col 54}{space 4}-.0093402{col 67}{space 3} .0372282
{txt}c_tfull_hc~l {c |}{col 14}{res}{space 2} .0150578{col 26}{space 2} .0154954{col 37}{space 1}    0.97{col 46}{space 3}0.332{col 54}{space 4}-.0154198{col 67}{space 3} .0455354
{txt}c_tfull_hc~s {c |}{col 14}{res}{space 2} .0045104{col 26}{space 2}  .015348{col 37}{space 1}    0.29{col 46}{space 3}0.769{col 54}{space 4}-.0256774{col 67}{space 3} .0346982
{txt}c_tfull_hc~d {c |}{col 14}{res}{space 2}  .043135{col 26}{space 2} .0362173{col 37}{space 1}    1.19{col 46}{space 3}0.234{col 54}{space 4}-.0281002{col 67}{space 3} .1143701
{txt}c_tfull_hc~r {c |}{col 14}{res}{space 2} -.001593{col 26}{space 2} .0046047{col 37}{space 1}   -0.35{col 46}{space 3}0.730{col 54}{space 4}-.0106499{col 67}{space 3} .0074638
{txt}c_tfull_hc~x {c |}{col 14}{res}{space 2} .0035781{col 26}{space 2} .0142045{col 37}{space 1}    0.25{col 46}{space 3}0.801{col 54}{space 4}-.0243606{col 67}{space 3} .0315167
{txt}c_trea~c_hc2 {c |}{col 14}{res}{space 2} .0013422{col 26}{space 2} .0151612{col 37}{space 1}    0.09{col 46}{space 3}0.930{col 54}{space 4}-.0284781{col 67}{space 3} .0311625
{txt}c_treatful.. {c |}{col 14}{res}{space 2}-.0191823{col 26}{space 2} .0192051{col 37}{space 1}   -1.00{col 46}{space 3}0.319{col 54}{space 4}-.0569566{col 67}{space 3} .0185919
{txt}c_treatful.. {c |}{col 14}{res}{space 2} .0011642{col 26}{space 2} .0230436{col 37}{space 1}    0.05{col 46}{space 3}0.960{col 54}{space 4}  -.04416{col 67}{space 3} .0464883
{txt}c_treatful.. {c |}{col 14}{res}{space 2}-.0597842{col 26}{space 2} .0759496{col 37}{space 1}   -0.79{col 46}{space 3}0.432{col 54}{space 4}-.2091682{col 67}{space 3} .0895999
{txt}c_treatful.. {c |}{col 14}{res}{space 2} .0022169{col 26}{space 2} .0067336{col 37}{space 1}    0.33{col 46}{space 3}0.742{col 54}{space 4}-.0110273{col 67}{space 3} .0154611
{txt}c_treatful.. {c |}{col 14}{res}{space 2}-.0080934{col 26}{space 2}  .019817{col 37}{space 1}   -0.41{col 46}{space 3}0.683{col 54}{space 4}-.0470711{col 67}{space 3} .0308843
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} .0448382{col 26}{space 2}  .004755{col 37}{space 1}    9.43{col 46}{space 3}0.000{col 54}{space 4} .0354856{col 67}{space 3} .0541908
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)
{res}
{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}       374
{txt}{col 49}F({res}  14{txt},{res}    344{txt}){col 67}= {res}      1.13
{txt}{col 49}Prob > F{col 67}= {res}    0.3341
{txt}{col 49}R-squared{col 67}= {res}    0.0918
{txt}{col 49}Adj R-squared{col 67}= {res}    0.0153
{txt}{col 49}Root MSE{col 67}= {res}    0.7129

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}h_ctzpress~z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 8}t_16 {c |}{col 14}{res}{space 2}-.1134387{col 26}{space 2}  .102368{col 37}{space 1}   -1.11{col 46}{space 3}0.269{col 54}{space 4}-.3147848{col 67}{space 3} .0879073
{txt}{space 9}y16 {c |}{col 14}{res}{space 2}-.0401632{col 26}{space 2} .0847076{col 37}{space 1}   -0.47{col 46}{space 3}0.636{col 54}{space 4}-.2067731{col 67}{space 3} .1264468
{txt}c_tful~c_hc2 {c |}{col 14}{res}{space 2} .0707499{col 26}{space 2} .1361354{col 37}{space 1}    0.52{col 46}{space 3}0.604{col 54}{space 4}-.1970127{col 67}{space 3} .3385126
{txt}c_tfull_hc~l {c |}{col 14}{res}{space 2} .2724824{col 26}{space 2}  .165038{col 37}{space 1}    1.65{col 46}{space 3}0.100{col 54}{space 4}-.0521282{col 67}{space 3} .5970929
{txt}c_tfull_hc~s {c |}{col 14}{res}{space 2} .1937276{col 26}{space 2} .1729372{col 37}{space 1}    1.12{col 46}{space 3}0.263{col 54}{space 4}-.1464199{col 67}{space 3} .5338751
{txt}c_tfull_hc~d {c |}{col 14}{res}{space 2}-.8767688{col 26}{space 2}  .485904{col 37}{space 1}   -1.80{col 46}{space 3}0.072{col 54}{space 4}-1.832486{col 67}{space 3} .0789479
{txt}c_tfull_hc~r {c |}{col 14}{res}{space 2}-.0726778{col 26}{space 2} .0567105{col 37}{space 1}   -1.28{col 46}{space 3}0.201{col 54}{space 4}-.1842208{col 67}{space 3} .0388653
{txt}c_tfull_hc~x {c |}{col 14}{res}{space 2} .0892824{col 26}{space 2}  .176826{col 37}{space 1}    0.50{col 46}{space 3}0.614{col 54}{space 4}-.2585138{col 67}{space 3} .4370787
{txt}c_trea~c_hc2 {c |}{col 14}{res}{space 2}-.0836554{col 26}{space 2}  .183634{col 37}{space 1}   -0.46{col 46}{space 3}0.649{col 54}{space 4}-.4448422{col 67}{space 3} .2775314
{txt}c_treatful.. {c |}{col 14}{res}{space 2}-.4355883{col 26}{space 2} .1915976{col 37}{space 1}   -2.27{col 46}{space 3}0.024{col 54}{space 4}-.8124386{col 67}{space 3} -.058738
{txt}c_treatful.. {c |}{col 14}{res}{space 2}  .013496{col 26}{space 2} .2062883{col 37}{space 1}    0.07{col 46}{space 3}0.948{col 54}{space 4}-.3922491{col 67}{space 3} .4192411
{txt}c_treatful.. {c |}{col 14}{res}{space 2} .9346764{col 26}{space 2} .8159794{col 37}{space 1}    1.15{col 46}{space 3}0.253{col 54}{space 4}-.6702605{col 67}{space 3} 2.539613
{txt}c_treatful.. {c |}{col 14}{res}{space 2} .1270435{col 26}{space 2} .0841524{col 37}{space 1}    1.51{col 46}{space 3}0.132{col 54}{space 4}-.0384745{col 67}{space 3} .2925615
{txt}c_treatful.. {c |}{col 14}{res}{space 2}-.0925214{col 26}{space 2} .2276708{col 37}{space 1}   -0.41{col 46}{space 3}0.685{col 54}{space 4}-.5403236{col 67}{space 3} .3552807
{txt}{space 7}_cons {c |}{col 14}{res}{space 2}  .042427{col 26}{space 2} .0545078{col 37}{space 1}    0.78{col 46}{space 3}0.437{col 54}{space 4}-.0647836{col 67}{space 3} .1496375
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{com}.         
.         **************
.         * Individual *
.         **************
.         
.         * Health outcome
.         
.         * We load the dataset. This is the light version
.         
.         use "${c -(}usedata{c )-}/healthoutcome_endline_ind.dta", clear
{txt}
{com}.         
.         * In this part, we regress the outcomes over the full treatment vs control
.         
.         local var treatfull
{txt}
{com}.         
.         local x healthoutcome_z
{txt}
{com}.         
.         * At endline:
.         
.         **************
.         * No control *
.         **************
.         
.         eststo clear
{txt}
{com}. 
.                 areg  e_`x' `var' b_`x', robust cl(hc_id) a(district)

{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}     4,930
{txt}{col 49}F({res}   2{txt},{res}    186{txt}){col 67}= {res}     18.73
{txt}{col 49}Prob > F{col 67}= {res}    0.0000
{txt}{col 49}R-squared{col 67}= {res}    0.0110
{txt}{col 49}Adj R-squared{col 67}= {res}    0.0076
{txt}{col 49}Root MSE{col 67}= {res}    0.9469

{txt}{ralign 78:(Std. Err. adjusted for {res:187} clusters in hc_id)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}e_healthou~z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2} -.014145{col 26}{space 2} .0284685{col 37}{space 1}   -0.50{col 46}{space 3}0.620{col 54}{space 4}-.0703077{col 67}{space 3} .0420178
{txt}b_healthou~z {c |}{col 14}{res}{space 2} .0911876{col 26}{space 2} .0149292{col 37}{space 1}    6.11{col 46}{space 3}0.000{col 54}{space 4} .0617352{col 67}{space 3}   .12064
{txt}{space 7}_cons {c |}{col 14}{res}{space 2}-.0003394{col 26}{space 2} .0222957{col 37}{space 1}   -0.02{col 46}{space 3}0.988{col 54}{space 4}-.0443244{col 67}{space 3} .0436455
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{com}.                 local n_nocon_`x' = string(`e(N)',"%9.0fc")
{txt}
{com}.                 local b_nocon_`x' = string(_b[treatfull],"%9.3fc")
{txt}
{com}.                 local se_nocon_`x' =string(_se[treatfull],"%9.3fc")
{txt}
{com}.                 local p_nocon_`x' = (2 * ttail(e(df_r), abs(_b[treatfull]/_se[treatfull])))
{txt}
{com}.                         
.                 if `p_nocon_`x'' <= 0.1 & `p_nocon_`x'' > 0.05{c -(}
.                         local b_nocon_`x' `b_nocon_`x''*
.                 {c )-}
{txt}
{com}.         
.                 if `p_nocon_`x'' <= 0.05 & `p_nocon_`x'' > 0.01{c -(}
.                         local b_nocon_`x' `b_nocon_`x''**
.                 {c )-}
{txt}
{com}.                 
.                 if `p_nocon_`x'' <= 0.01 & `p_nocon_`x'' > 0 {c -(}
.                         local b_nocon_`x' `b_nocon_`x''***
.                 {c )-}
{txt}
{com}.                 
.                 local csb_nocon_`x' = string(_b[_cons],"%9.3fc")
{txt}
{com}.                 local csse_nocon_`x' =string(_se[_cons],"%9.3fc")
{txt}
{com}.                 local p_nocon_`x' = (2 * ttail(e(df_r), abs(_b[_cons]/_se[_cons])))
{txt}
{com}.                         
.                 if `p_nocon_`x'' <= 0.1 & `p_nocon_`x'' > 0.05{c -(}
.                         local csb_nocon_`x' `csb_nocon_`x''*
.                 {c )-}
{txt}
{com}.         
.                 if `p_nocon_`x'' <= 0.05 & `p_nocon_`x'' > 0.01{c -(}
.                         local csb_nocon_`x' `csb_nocon_`x''**
.                 {c )-}
{txt}
{com}.                 
.                 if `p_nocon_`x'' <= 0.01 & `p_nocon_`x'' > 0 {c -(}
.                         local csb_nocon_`x' `csb_nocon_`x''***
.                 {c )-}
{txt}
{com}.                 
.         
.         *********
.         * No FE *
.         *********
.         
.         * We define the control variable
.         
.         local  e_controls_noprefix hc2 b_h_del b_h_staff_houses b_visited_d educyr b_assetindex
{txt}
{com}.                 
.         foreach x in e_ {c -(}
{txt}  2{com}.         
.                 local `x'controls_tfull
{txt}  3{com}.                 
.                 {c )-}
{txt}
{com}.                 
.         foreach x in e_ {c -(}
{txt}  2{com}.                 foreach var in treatfull {c -(}
{txt}  3{com}.                         local `var'_int_`x'controls
{txt}  4{com}.                                                 {c )-}
{txt}  5{com}.                 {c )-}
{txt}
{com}.                 
.         foreach var of local e_controls_noprefix {c -(}
{txt}  2{com}.                 local e_controls_tfull `e_controls_tfull' c_tfull_`var'
{txt}  3{com}.                         {c )-}       
{txt}
{com}.                                 
.         foreach treat in treatfull {c -(}
{txt}  2{com}.                 foreach var of local e_controls_noprefix {c -(}
{txt}  3{com}.                         local `treat'_int_e_controls ``treat'_int_e_controls' c_`treat'_`var'
{txt}  4{com}.                                 {c )-}
{txt}  5{com}.                 {c )-}
{txt}
{com}.         
.         
.         local var treatfull
{txt}
{com}.         
.         local x healthoutcome_z
{txt}
{com}.         
.         eststo clear
{txt}
{com}.         
.                 reg  e_`x' `var' b_`x' `e_controls_tfull' ``var'_int_e_controls', cl(hc_id) robust

{txt}Linear regression                               Number of obs     = {res}     4,930
                                                {txt}F(14, 186)        =  {res}     7.25
                                                {txt}Prob > F          = {res}    0.0000
                                                {txt}R-squared         = {res}    0.0160
                                                {txt}Root MSE          =    {res} .94421

{txt}{ralign 78:(Std. Err. adjusted for {res:187} clusters in hc_id)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}e_healthou~z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2}-.0140122{col 26}{space 2} .0289737{col 37}{space 1}   -0.48{col 46}{space 3}0.629{col 54}{space 4}-.0711715{col 67}{space 3} .0431472
{txt}b_healthou~z {c |}{col 14}{res}{space 2} .0864002{col 26}{space 2} .0151087{col 37}{space 1}    5.72{col 46}{space 3}0.000{col 54}{space 4} .0565937{col 67}{space 3} .1162066
{txt}{space 1}c_tfull_hc2 {c |}{col 14}{res}{space 2} .0449325{col 26}{space 2} .0520421{col 37}{space 1}    0.86{col 46}{space 3}0.389{col 54}{space 4}-.0577362{col 67}{space 3} .1476012
{txt}c_tfull_b_~l {c |}{col 14}{res}{space 2}-.0124517{col 26}{space 2} .0679206{col 37}{space 1}   -0.18{col 46}{space 3}0.855{col 54}{space 4}-.1464455{col 67}{space 3} .1215421
{txt}c_tfull_b_~s {c |}{col 14}{res}{space 2} .0141322{col 26}{space 2} .0701198{col 37}{space 1}    0.20{col 46}{space 3}0.840{col 54}{space 4}-.1242001{col 67}{space 3} .1524645
{txt}c_tfull_b_~d {c |}{col 14}{res}{space 2}-.0366874{col 26}{space 2} .0830921{col 37}{space 1}   -0.44{col 46}{space 3}0.659{col 54}{space 4}-.2006114{col 67}{space 3} .1272366
{txt}c_tfull_ed~r {c |}{col 14}{res}{space 2} .0084526{col 26}{space 2} .0057025{col 37}{space 1}    1.48{col 46}{space 3}0.140{col 54}{space 4}-.0027974{col 67}{space 3} .0197025
{txt}c_tfull_b_~x {c |}{col 14}{res}{space 2} .0791928{col 26}{space 2} .0253161{col 37}{space 1}    3.13{col 46}{space 3}0.002{col 54}{space 4} .0292493{col 67}{space 3} .1291363
{txt}c_trea~l_hc2 {c |}{col 14}{res}{space 2} -.092652{col 26}{space 2} .0687581{col 37}{space 1}   -1.35{col 46}{space 3}0.179{col 54}{space 4} -.228298{col 67}{space 3} .0429939
{txt}c_treatful.. {c |}{col 14}{res}{space 2}-.0703484{col 26}{space 2} .0810548{col 37}{space 1}   -0.87{col 46}{space 3}0.387{col 54}{space 4}-.2302533{col 67}{space 3} .0895565
{txt}c_treatful.. {c |}{col 14}{res}{space 2}-.0300626{col 26}{space 2} .0817757{col 37}{space 1}   -0.37{col 46}{space 3}0.714{col 54}{space 4}-.1913898{col 67}{space 3} .1312645
{txt}c_treatful.. {c |}{col 14}{res}{space 2}-.0837389{col 26}{space 2} .1059706{col 37}{space 1}   -0.79{col 46}{space 3}0.430{col 54}{space 4}-.2927977{col 67}{space 3} .1253199
{txt}c_treatful.. {c |}{col 14}{res}{space 2}-.0004311{col 26}{space 2} .0072706{col 37}{space 1}   -0.06{col 46}{space 3}0.953{col 54}{space 4}-.0147745{col 67}{space 3} .0139123
{txt}c_treatful.. {c |}{col 14}{res}{space 2} -.053822{col 26}{space 2}  .030657{col 37}{space 1}   -1.76{col 46}{space 3}0.081{col 54}{space 4}-.1143021{col 67}{space 3} .0066581
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} .0004044{col 26}{space 2} .0226133{col 37}{space 1}    0.02{col 46}{space 3}0.986{col 54}{space 4}-.0442072{col 67}{space 3}  .045016
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}.                 local n_nofe_`x' = string(`e(N)',"%9.0fc")
{txt}
{com}.                 local b_nofe_`x' = string(_b[treatfull],"%9.3fc")
{txt}
{com}.                 local se_nofe_`x' =string(_se[treatfull],"%9.3fc")
{txt}
{com}.                 local p_nofe_`x' = (2 * ttail(e(df_r), abs(_b[treatfull]/_se[treatfull])))
{txt}
{com}.                         
.                 if `p_nofe_`x'' <= 0.1 & `p_nofe_`x'' > 0.05{c -(}
.                         local b_nofe_`x' `b_nofe_`x''*
.                 {c )-}
{txt}
{com}.         
.                 if `p_nofe_`x'' <= 0.05 & `p_nofe_`x'' > 0.01{c -(}
.                         local b_nofe_`x' `b_nofe_`x''**
.                 {c )-}
{txt}
{com}.                 
.                 if `p_nofe_`x'' <= 0.01 & `p_nofe_`x'' > 0 {c -(}
.                         local b_nofe_`x' `b_nofe_`x''***
.                 {c )-}
{txt}
{com}.                 
.                 local csb_nofe_`x' = string(_b[_cons],"%9.3fc")
{txt}
{com}.                 local csse_nofe_`x' =string(_se[_cons],"%9.3fc")
{txt}
{com}.                 local p_nofe_`x' = (2 * ttail(e(df_r), abs(_b[_cons]/_se[_cons])))
{txt}
{com}.                         
.                 if `p_nofe_`x'' <= 0.1 & `p_nofe_`x'' > 0.05{c -(}
.                         local csb_nofe_`x' `csb_nofe_`x''*
.                 {c )-}
{txt}
{com}.         
.                 if `p_nofe_`x'' <= 0.05 & `p_nofe_`x'' > 0.01{c -(}
.                         local csb_nofe_`x' `csb_nofe_`x''**
.                 {c )-}
{txt}
{com}.                 
.                 if `p_nofe_`x'' <= 0.01 & `p_nofe_`x'' > 0 {c -(}
.                         local csb_nofe_`x' `csb_nofe_`x''***
.                 {c )-}
{txt}
{com}.                 
.         *****************************************
.         **ADDED LATER: NO COV*TREAT INTERACTION**
.         *****************************************
. 
.         
.         * We define the control variable
.         
.         local  e_controls_noprefix hc2 b_h_del b_h_staff_houses b_visited_d educyr b_assetindex
{txt}
{com}.                 
.         foreach x in e_ {c -(}
{txt}  2{com}.         
.                 local `x'controls_tfull
{txt}  3{com}.                 
.                 {c )-}
{txt}
{com}.                 
.         foreach x in e_ {c -(}
{txt}  2{com}.                 foreach var in treatfull {c -(}
{txt}  3{com}.                         local `var'_int_`x'controls
{txt}  4{com}.                                                 {c )-}
{txt}  5{com}.                 {c )-}
{txt}
{com}.                 
.         foreach var of local e_controls_noprefix {c -(}
{txt}  2{com}.                 local e_controls_tfull `e_controls_tfull' c_tfull_`var'
{txt}  3{com}.                         {c )-}       
{txt}
{com}.                                 
.         foreach treat in treatfull {c -(}
{txt}  2{com}.                 foreach var of local e_controls_noprefix {c -(}
{txt}  3{com}.                         local `treat'_int_e_controls ``treat'_int_e_controls' c_`treat'_`var'
{txt}  4{com}.                                 {c )-}
{txt}  5{com}.                 {c )-}
{txt}
{com}.         
.         
.         local var treatfull
{txt}
{com}.         
.         local x healthoutcome_z
{txt}
{com}.         
.         eststo clear
{txt}
{com}.         
.         areg  e_`x' `var' b_`x' `e_controls_tfull' ``var'_int_e_controls', cl(hc_id) robust a(district)

{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}     4,930
{txt}{col 49}F({res}  14{txt},{res}    186{txt}){col 67}= {res}      8.26
{txt}{col 49}Prob > F{col 67}= {res}    0.0000
{txt}{col 49}R-squared{col 67}= {res}    0.0189
{txt}{col 49}Adj R-squared{col 67}= {res}    0.0131
{txt}{col 49}Root MSE{col 67}= {res}    0.9443

{txt}{ralign 78:(Std. Err. adjusted for {res:187} clusters in hc_id)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}e_healthou~z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2}-.0100833{col 26}{space 2} .0275876{col 37}{space 1}   -0.37{col 46}{space 3}0.715{col 54}{space 4}-.0645081{col 67}{space 3} .0443414
{txt}b_healthou~z {c |}{col 14}{res}{space 2} .0898838{col 26}{space 2} .0148095{col 37}{space 1}    6.07{col 46}{space 3}0.000{col 54}{space 4} .0606676{col 67}{space 3} .1191001
{txt}{space 1}c_tfull_hc2 {c |}{col 14}{res}{space 2} .0644713{col 26}{space 2} .0571282{col 37}{space 1}    1.13{col 46}{space 3}0.261{col 54}{space 4}-.0482313{col 67}{space 3} .1771738
{txt}c_tfull_b_~l {c |}{col 14}{res}{space 2} .0156525{col 26}{space 2}  .073539{col 37}{space 1}    0.21{col 46}{space 3}0.832{col 54}{space 4}-.1294253{col 67}{space 3} .1607302
{txt}c_tfull_b_~s {c |}{col 14}{res}{space 2}-.0115966{col 26}{space 2} .0807891{col 37}{space 1}   -0.14{col 46}{space 3}0.886{col 54}{space 4}-.1709774{col 67}{space 3} .1477842
{txt}c_tfull_b_~d {c |}{col 14}{res}{space 2}-.0396616{col 26}{space 2} .0834736{col 37}{space 1}   -0.48{col 46}{space 3}0.635{col 54}{space 4}-.2043383{col 67}{space 3} .1250151
{txt}c_tfull_ed~r {c |}{col 14}{res}{space 2}  .008264{col 26}{space 2}  .005783{col 37}{space 1}    1.43{col 46}{space 3}0.155{col 54}{space 4}-.0031446{col 67}{space 3} .0196726
{txt}c_tfull_b_~x {c |}{col 14}{res}{space 2} .0834407{col 26}{space 2}  .025769{col 37}{space 1}    3.24{col 46}{space 3}0.001{col 54}{space 4} .0326036{col 67}{space 3} .1342779
{txt}c_trea~l_hc2 {c |}{col 14}{res}{space 2}-.1030186{col 26}{space 2} .0682118{col 37}{space 1}   -1.51{col 46}{space 3}0.133{col 54}{space 4}-.2375868{col 67}{space 3} .0315496
{txt}c_treatful.. {c |}{col 14}{res}{space 2}-.0952362{col 26}{space 2} .0800478{col 37}{space 1}   -1.19{col 46}{space 3}0.236{col 54}{space 4}-.2531545{col 67}{space 3}  .062682
{txt}c_treatful.. {c |}{col 14}{res}{space 2}-.0085454{col 26}{space 2}  .083154{col 37}{space 1}   -0.10{col 46}{space 3}0.918{col 54}{space 4}-.1725917{col 67}{space 3} .1555009
{txt}c_treatful.. {c |}{col 14}{res}{space 2}-.0787691{col 26}{space 2} .1057471{col 37}{space 1}   -0.74{col 46}{space 3}0.457{col 54}{space 4} -.287387{col 67}{space 3} .1298487
{txt}c_treatful.. {c |}{col 14}{res}{space 2} .0001869{col 26}{space 2} .0072098{col 37}{space 1}    0.03{col 46}{space 3}0.979{col 54}{space 4}-.0140365{col 67}{space 3} .0144104
{txt}c_treatful.. {c |}{col 14}{res}{space 2}-.0547717{col 26}{space 2} .0303221{col 37}{space 1}   -1.81{col 46}{space 3}0.072{col 54}{space 4} -.114591{col 67}{space 3} .0050477
{txt}{space 7}_cons {c |}{col 14}{res}{space 2}-.0014622{col 26}{space 2} .0216592{col 37}{space 1}   -0.07{col 46}{space 3}0.946{col 54}{space 4}-.0441914{col 67}{space 3} .0412671
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{com}.                 local n_noint_`x' = string(`e(N)',"%9.0fc")
{txt}
{com}.                 local b_noint_`x' = string(_b[treatfull],"%9.3fc")
{txt}
{com}.                 local se_noint_`x' =string(_se[treatfull],"%9.3fc")
{txt}
{com}.                 local p_noint_`x' = (2 * ttail(e(df_r), abs(_b[treatfull]/_se[treatfull])))
{txt}
{com}.                         
.                 if `p_noint_`x'' <= 0.1 & `p_noint_`x'' > 0.05{c -(}
.                         local b_noint_`x' `b_noint_`x''*
.                 {c )-}
{txt}
{com}.         
.                 if `p_noint_`x'' <= 0.05 & `p_noint_`x'' > 0.01{c -(}
.                         local b_noint_`x' `b_noint_`x''**
.                 {c )-}
{txt}
{com}.                 
.                 if `p_noint_`x'' <= 0.01 & `p_noint_`x'' > 0 {c -(}
.                         local b_noint_`x' `b_noint_`x''***
.                 {c )-}
{txt}
{com}.                 
.                 local csb_noint_`x' = string(_b[_cons],"%9.3fc")
{txt}
{com}.                 local csse_noint_`x' =string(_se[_cons],"%9.3fc")
{txt}
{com}.                 local p_noint_`x' = (2 * ttail(e(df_r), abs(_b[_cons]/_se[_cons])))
{txt}
{com}.                         
.                 if `p_noint_`x'' <= 0.1 & `p_noint_`x'' > 0.05{c -(}
.                         local csb_noint_`x' `csb_noint_`x''*
.                 {c )-}
{txt}
{com}.         
.                 if `p_noint_`x'' <= 0.05 & `p_noint_`x'' > 0.01{c -(}
.                         local csb_noint_`x' `csb_noint_`x''**
.                 {c )-}
{txt}
{com}.                 
.                 if `p_noint_`x'' <= 0.01 & `p_noint_`x'' > 0 {c -(}
.                         local csb_noint_`x' `csb_noint_`x''***
.                 {c )-}
{txt}
{com}.         
.         *************************
.         * Agregated at HC level *
.         *************************
.         
.         preserve
{txt}
{com}.         
.         ** Our first step is to create the mean at HC level
.         
.         byso hc_id : egen tmean_e_`x' = mean(e_`x') 
{txt}
{com}.         byso hc_id : egen mean_e_`x' = max(tmean_e_`x')
{txt}
{com}.         
.         byso hc_id : egen tmean_b_`x' = mean(b_`x')
{txt}
{com}.         byso hc_id : egen mean_b_`x' = max(tmean_b_`x')
{txt}
{com}.         
.         drop tmean_*
{txt}
{com}.         
.         * We need to do the same at hc level
.         
.         local controls hc2 b_h_del b_h_staff_houses b_visited_d educyr b_assetindex
{txt}
{com}.         
.         * We create unique hh as we are at child level
.         
.         byso hh_id: gen count = _n
{txt}
{com}.         
.         * We will remove the mean from the control variable
.         
.         * Full treatment ( we don't need to create a endline presence as we already have a sample with only household present)
. 
.         foreach var of local controls {c -(}
{txt}  2{com}.                 byso hc_id: egen temp_mean_`var' = mean(`var') if treatfull != . & count == 1
{txt}  3{com}.                 byso hc_id: egen t_mean_`var' = max(temp_mean_`var') if treatfull != .
{txt}  4{com}.                 qui sum t_mean_`var' if treatfull != . & uniquehc == 1
{txt}  5{com}.                 gen c_tfull_hc_`var' = t_mean_`var' - `r(mean)'
{txt}  6{com}.                 lab var c_tfull_hc_`var' "Control variable of `var' minus its mean in the full treatment at hc level"
{txt}  7{com}.                 drop t_mean_`var' temp_mean_`var'
{txt}  8{com}.                 {c )-}
{txt}(12546 missing values generated)
(9357 missing values generated)
(9,357 missing values generated)
(12546 missing values generated)
(9357 missing values generated)
(9,357 missing values generated)
(12546 missing values generated)
(9357 missing values generated)
(9,357 missing values generated)
note: label truncated to 80 characters
(12546 missing values generated)
(9357 missing values generated)
(9,357 missing values generated)
(12546 missing values generated)
(9357 missing values generated)
(9,357 missing values generated)
(12546 missing values generated)
(9357 missing values generated)
(9,357 missing values generated)
note: label truncated to 80 characters

{com}.                 
.         drop count
{txt}
{com}.         
.         * Full treatment
.         
.         foreach x of local controls {c -(}
{txt}  2{com}.                         gen c_treatfull_hc_`x' = treatfull * c_tfull_hc_`x'
{txt}  3{com}.                         lab var c_treatfull_hc_`x' "Interaction term of contral variable `x' with treatment at hc level"
{txt}  4{com}.                         {c )-}
{txt}(9,357 missing values generated)
(9,357 missing values generated)
(9,357 missing values generated)
(9,357 missing values generated)
(9,357 missing values generated)
(9,357 missing values generated)

{com}.         
.         * We take care of duplicates 
.         
.         duplicates drop hh_id uniquehc, force

{p 0 4}{txt}Duplicates in terms of {res} hh_id uniquehc{p_end}

{txt}(6,438 observations deleted)

{com}.         
.         drop uniquehc 
{txt}
{com}.         
.         egen uniquehc = tag(hc_id) if endline_presence == 1
{txt}
{com}.         recode uniquehc(.=0)
{txt}(uniquehc: 0 changes made)

{com}.         lab var uniquehc "Unique HC"
{txt}
{com}.         
.         * We local the variable
.         
.         foreach x in e_ {c -(}
{txt}  2{com}.         
.                 local `x'controls_tfull_hc
{txt}  3{com}.                 
.                 {c )-}
{txt}
{com}.                 
.         foreach x in e_ {c -(}
{txt}  2{com}.                 foreach var in treatfull {c -(}
{txt}  3{com}.                         local `var'_hc_int_`x'controls
{txt}  4{com}.                         {c )-}
{txt}  5{com}.                 {c )-}
{txt}
{com}.                 
.         foreach var of local e_controls_noprefix {c -(}
{txt}  2{com}.                 local e_controls_tfull_hc `e_controls_tfull_hc' c_tfull_hc_`var'
{txt}  3{com}.                 {c )-}       
{txt}
{com}.                                 
.         foreach treat in treatfull {c -(}
{txt}  2{com}.                 foreach var of local e_controls_noprefix {c -(}
{txt}  3{com}.                         local `treat'_hc_int_e_controls ``treat'_hc_int_e_controls' c_`treat'_hc_`var'
{txt}  4{com}.                         {c )-}
{txt}  5{com}.                 {c )-}
{txt}
{com}.         
.         
.         local var treatfull
{txt}
{com}.         
.         local x healthoutcome_z
{txt}
{com}.         
.         eststo clear
{txt}
{com}.         
.                 areg  mean_e_`x' `var' mean_b_`x' `e_controls_tfull_hc' ``var'_hc_int_e_controls' if uniquehc == 1, robust a(district)
{res}
{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}       187
{txt}{col 49}F({res}  14{txt},{res}    157{txt}){col 67}= {res}      2.12
{txt}{col 49}Prob > F{col 67}= {res}    0.0132
{txt}{col 49}R-squared{col 67}= {res}    0.2287
{txt}{col 49}Adj R-squared{col 67}= {res}    0.0862
{txt}{col 49}Root MSE{col 67}= {res}    0.1984

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}mean_e_hea~z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2}-.0104759{col 26}{space 2} .0286735{col 37}{space 1}   -0.37{col 46}{space 3}0.715{col 54}{space 4}-.0671114{col 67}{space 3} .0461597
{txt}mean_b_hea~z {c |}{col 14}{res}{space 2} .0231602{col 26}{space 2} .0307546{col 37}{space 1}    0.75{col 46}{space 3}0.453{col 54}{space 4}-.0375859{col 67}{space 3} .0839063
{txt}c_tful~c_hc2 {c |}{col 14}{res}{space 2} .1097289{col 26}{space 2} .0567936{col 37}{space 1}    1.93{col 46}{space 3}0.055{col 54}{space 4}-.0024492{col 67}{space 3}  .221907
{txt}c_tfull_hc~l {c |}{col 14}{res}{space 2} .0157658{col 26}{space 2} .0727705{col 37}{space 1}    0.22{col 46}{space 3}0.829{col 54}{space 4}-.1279698{col 67}{space 3} .1595013
{txt}c_tfull_hc~s {c |}{col 14}{res}{space 2} .0025979{col 26}{space 2} .0857681{col 37}{space 1}    0.03{col 46}{space 3}0.976{col 54}{space 4}-.1668103{col 67}{space 3}  .172006
{txt}c_tfull_hc~d {c |}{col 14}{res}{space 2} .4746263{col 26}{space 2} .2296677{col 37}{space 1}    2.07{col 46}{space 3}0.040{col 54}{space 4}  .020989{col 67}{space 3} .9282635
{txt}c_tfull_hc~r {c |}{col 14}{res}{space 2} .0502489{col 26}{space 2} .0310412{col 37}{space 1}    1.62{col 46}{space 3}0.108{col 54}{space 4}-.0110634{col 67}{space 3} .1115611
{txt}c_tfull_hc~x {c |}{col 14}{res}{space 2} .1007131{col 26}{space 2}  .078345{col 37}{space 1}    1.29{col 46}{space 3}0.201{col 54}{space 4}-.0540331{col 67}{space 3} .2554594
{txt}c_trea~c_hc2 {c |}{col 14}{res}{space 2}-.1248594{col 26}{space 2} .0743897{col 37}{space 1}   -1.68{col 46}{space 3}0.095{col 54}{space 4}-.2717931{col 67}{space 3} .0220743
{txt}c_treatful.. {c |}{col 14}{res}{space 2}-.0587543{col 26}{space 2} .0851601{col 37}{space 1}   -0.69{col 46}{space 3}0.491{col 54}{space 4}-.2269616{col 67}{space 3}  .109453
{txt}c_treatful.. {c |}{col 14}{res}{space 2}-.0142347{col 26}{space 2} .0954752{col 37}{space 1}   -0.15{col 46}{space 3}0.882{col 54}{space 4}-.2028163{col 67}{space 3}  .174347
{txt}c_treatful.. {c |}{col 14}{res}{space 2}-.7122132{col 26}{space 2} .3452193{col 37}{space 1}   -2.06{col 46}{space 3}0.041{col 54}{space 4}-1.394087{col 67}{space 3}-.0303398
{txt}c_treatful.. {c |}{col 14}{res}{space 2}-.0837332{col 26}{space 2}  .034815{col 37}{space 1}   -2.41{col 46}{space 3}0.017{col 54}{space 4}-.1524995{col 67}{space 3} -.014967
{txt}c_treatful.. {c |}{col 14}{res}{space 2} .0795702{col 26}{space 2} .0889293{col 37}{space 1}    0.89{col 46}{space 3}0.372{col 54}{space 4} -.096082{col 67}{space 3} .2552224
{txt}{space 7}_cons {c |}{col 14}{res}{space 2}-.0023525{col 26}{space 2} .0217522{col 37}{space 1}   -0.11{col 46}{space 3}0.914{col 54}{space 4}-.0453172{col 67}{space 3} .0406122
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{com}.                 local n_mean_`x' = string(`e(N)',"%9.0fc")
{txt}
{com}.                 local b_mean_`x' = string(_b[treatfull],"%9.3fc")
{txt}
{com}.                 local se_mean_`x' =string(_se[treatfull],"%9.3fc")
{txt}
{com}.                 local p_mean_`x' = (2 * ttail(e(df_r), abs(_b[treatfull]/_se[treatfull])))
{txt}
{com}.                         
.                 if `p_mean_`x'' <= 0.1 & `p_mean_`x'' > 0.05{c -(}
.                         local b_mean_`x' `b_mean_`x''*
.                 {c )-}
{txt}
{com}.         
.                 if `p_mean_`x'' <= 0.05 & `p_mean_`x'' > 0.01{c -(}
.                         local b_mean_`x' `b_mean_`x''**
.                 {c )-}
{txt}
{com}.                 
.                 if `p_mean_`x'' <= 0.01 & `p_mean_`x'' > 0 {c -(}
.                         local b_mean_`x' `b_mean_`x''***
.                 {c )-}
{txt}
{com}.                 
.                 local csb_mean_`x' = string(_b[_cons],"%9.3fc")
{txt}
{com}.                 local csse_mean_`x' =string(_se[_cons],"%9.3fc")
{txt}
{com}.                 local p_mean_`x' = (2 * ttail(e(df_r), abs(_b[_cons]/_se[_cons])))
{txt}
{com}.                         
.                 if `p_mean_`x'' <= 0.1 & `p_mean_`x'' > 0.05{c -(}
.                         local csb_mean_`x' `csb_mean_`x''*
.                 {c )-}
{txt}
{com}.         
.                 if `p_mean_`x'' <= 0.05 & `p_mean_`x'' > 0.01{c -(}
.                         local csb_mean_`x' `csb_mean_`x''**
.                 {c )-}
{txt}
{com}.                 
.                 if `p_mean_`x'' <= 0.01 & `p_mean_`x'' > 0 {c -(}
.                         local csb_mean_`x' `csb_mean_`x''***
.                 {c )-}
{txt}
{com}.                 
.         restore
{txt}
{com}.         
.         ***********************************
.         * Diff in Diff endline - baseline *
.         ***********************************
. 
.         local var treatfull
{txt}
{com}.         
.         local x healthoutcome_z
{txt}
{com}.         
.         keep hh_id hc_id e_healthoutcome_z b_healthoutcome_z `e_controls_tfull' ``var'_int_e_controls'  district uniquehc treatfull endline_presence
{txt}
{com}.         
.         gen nomeasure_endline = (b_healthoutcome_z == . | e_healthoutcome_z == .)
{txt}
{com}.         replace nomeasure_endline = 1 if endline_presence == 0
{txt}(0 real changes made)

{com}.         
.         ren b_`x' `x'_b
{res}{txt}
{com}.         ren e_`x' `x'_e
{res}{txt}
{com}.         
.         * Creating a new id to reshape
.         
.         byso hh_id: gen temp = _n
{txt}
{com}.         
.         tostring hh_id temp, replace
{txt}hh_id was {res:long} now {res:str5}
temp was {res:float} now {res:str1}

{com}.         
.         replace hh_id = hh_id + temp
{txt}variable {bf}hh_id{sf} was {bf}{res}str5{sf}{txt} now {bf}{res}str6{sf}
{txt}(18,551 real changes made)

{com}.         
.         destring hh_id, replace
{txt}hh_id: all characters numeric; {res}replaced {txt}as {res}long
{txt}
{com}.         
.         drop temp
{txt}
{com}.         
.         * Reshape
.         
.         reshape long healthoutcome_z , i(hh_id) j(num) s
{txt}(note: j = _b _e)

Data{col 36}wide{col 43}->{col 48}long
{hline 77}
Number of obs.                 {res}   18551   {txt}->{res}   37102
{txt}Number of variables            {res}      21   {txt}->{res}      21
{txt}j variable (2 values)                     ->   {res}num
{txt}xij variables:
    {res}healthoutcome_z_b healthoutcome_z_e   {txt}->   {res}healthoutcome_z
{txt}{hline 77}

{com}.         
.         gen y16 = (num == "_e")
{txt}
{com}.         
.         drop num
{txt}
{com}.         
.         gen t_16 = treatfull*y16
{txt}(18,714 missing values generated)

{com}.         
.                 areg `x' t_16 y16 `e_controls_tfull' ``var'_int_e_controls' if endline_presence == 1, robust cl(hc_id) a(district)

{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}     9,860
{txt}{col 49}F({res}  14{txt},{res}    186{txt}){col 67}= {res}      2.23
{txt}{col 49}Prob > F{col 67}= {res}    0.0082
{txt}{col 49}R-squared{col 67}= {res}    0.0239
{txt}{col 49}Adj R-squared{col 67}= {res}    0.0210
{txt}{col 49}Root MSE{col 67}= {res}    0.9307

{txt}{ralign 78:(Std. Err. adjusted for {res:187} clusters in hc_id)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}healthoutc~z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 8}t_16 {c |}{col 14}{res}{space 2}-.0225445{col 26}{space 2} .0342754{col 37}{space 1}   -0.66{col 46}{space 3}0.512{col 54}{space 4} -.090163{col 67}{space 3}  .045074
{txt}{space 9}y16 {c |}{col 14}{res}{space 2} -.021981{col 26}{space 2} .0494187{col 37}{space 1}   -0.44{col 46}{space 3}0.657{col 54}{space 4}-.1194743{col 67}{space 3} .0755123
{txt}{space 1}c_tfull_hc2 {c |}{col 14}{res}{space 2} .0757036{col 26}{space 2} .0923239{col 37}{space 1}    0.82{col 46}{space 3}0.413{col 54}{space 4} -.106433{col 67}{space 3} .2578402
{txt}c_tfull_b_~l {c |}{col 14}{res}{space 2}-.0564777{col 26}{space 2}  .119339{col 37}{space 1}   -0.47{col 46}{space 3}0.637{col 54}{space 4}-.2919098{col 67}{space 3} .1789543
{txt}c_tfull_b_~s {c |}{col 14}{res}{space 2} .1419167{col 26}{space 2} .1257955{col 37}{space 1}    1.13{col 46}{space 3}0.261{col 54}{space 4}-.1062528{col 67}{space 3} .3900862
{txt}c_tfull_b_~d {c |}{col 14}{res}{space 2}-.0356248{col 26}{space 2} .0730229{col 37}{space 1}   -0.49{col 46}{space 3}0.626{col 54}{space 4}-.1796844{col 67}{space 3} .1084348
{txt}c_tfull_ed~r {c |}{col 14}{res}{space 2} .0099035{col 26}{space 2} .0040503{col 37}{space 1}    2.45{col 46}{space 3}0.015{col 54}{space 4} .0019131{col 67}{space 3} .0178939
{txt}c_tfull_b_~x {c |}{col 14}{res}{space 2} .0332826{col 26}{space 2} .0205641{col 37}{space 1}    1.62{col 46}{space 3}0.107{col 54}{space 4}-.0072862{col 67}{space 3} .0738514
{txt}c_treatful~2 {c |}{col 14}{res}{space 2}-.0236423{col 26}{space 2} .1109469{col 37}{space 1}   -0.21{col 46}{space 3}0.831{col 54}{space 4}-.2425183{col 67}{space 3} .1952337
{txt}c_treatful~l {c |}{col 14}{res}{space 2} .0447408{col 26}{space 2} .1249713{col 37}{space 1}    0.36{col 46}{space 3}0.721{col 54}{space 4}-.2018026{col 67}{space 3} .2912842
{txt}c_treatful~s {c |}{col 14}{res}{space 2}-.1587681{col 26}{space 2} .1318943{col 37}{space 1}   -1.20{col 46}{space 3}0.230{col 54}{space 4}-.4189692{col 67}{space 3} .1014329
{txt}c_treatful~d {c |}{col 14}{res}{space 2}-.0111263{col 26}{space 2} .0895658{col 37}{space 1}   -0.12{col 46}{space 3}0.901{col 54}{space 4}-.1878217{col 67}{space 3}  .165569
{txt}c_treatful~r {c |}{col 14}{res}{space 2}-.0016227{col 26}{space 2} .0054525{col 37}{space 1}   -0.30{col 46}{space 3}0.766{col 54}{space 4}-.0123794{col 67}{space 3} .0091341
{txt}c_treatful~x {c |}{col 14}{res}{space 2}-.0204729{col 26}{space 2} .0269305{col 37}{space 1}   -0.76{col 46}{space 3}0.448{col 54}{space 4}-.0736013{col 67}{space 3} .0326556
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} .0279708{col 26}{space 2} .0403826{col 37}{space 1}    0.69{col 46}{space 3}0.489{col 54}{space 4}-.0516959{col 67}{space 3} .1076376
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{com}.                 local n_dd_`x' = string(`e(N)',"%9.0fc")
{txt}
{com}.                 local b_dd_`x' = string(_b[t_16],"%9.3fc")
{txt}
{com}.                 local se_dd_`x' =string(_se[t_16],"%9.3fc")
{txt}
{com}.                 local p_dd_`x' = (2 * ttail(e(df_r), abs(_b[t_16]/_se[t_16])))
{txt}
{com}.                         
.                 if `p_dd_`x'' <= 0.1 & `p_dd_`x'' > 0.05{c -(}
.                         local b_dd_`x' `b_dd_`x''*
.                 {c )-}
{txt}
{com}.         
.                 if `p_dd_`x'' <= 0.05 & `p_dd_`x'' > 0.01{c -(}
.                         local b_dd_`x' `b_dd_`x''**
.                 {c )-}
{txt}
{com}.                 
.                 if `p_dd_`x'' <= 0.01 & `p_dd_`x'' > 0 {c -(}
.                         local b_dd_`x' `b_dd_`x''***
.                 {c )-}
{txt}
{com}.                 
.                 local csb_dd_`x' = string(_b[_cons],"%9.3fc")
{txt}
{com}.                 local csse_dd_`x' =string(_se[_cons],"%9.3fc")
{txt}
{com}.                 local p_dd_`x' = (2 * ttail(e(df_r), abs(_b[_cons]/_se[_cons])))
{txt}
{com}.                         
.                 if `p_dd_`x'' <= 0.1 & `p_dd_`x'' > 0.05{c -(}
.                         local csb_dd_`x' `csb_dd_`x''*
.                 {c )-}
{txt}
{com}.         
.                 if `p_dd_`x'' <= 0.05 & `p_dd_`x'' > 0.01{c -(}
.                         local csb_dd_`x' `csb_dd_`x''**
.                 {c )-}
{txt}
{com}.                 
.                 if `p_dd_`x'' <= 0.01 & `p_dd_`x'' > 0 {c -(}
.                         local csb_dd_`x' `csb_dd_`x''***
.                 {c )-}
{txt}
{com}.         
.         * Child mortality
.         
.         * We load the dataset. This is the light version
.         
.         use "${c -(}usedata{c )-}/mortality_endline_ind.dta", clear
{txt}
{com}.         
.         * In this part, we regress the outcomes over the full treatment vs control
.         
.         local var treatfull
{txt}
{com}.         
.         local x mortrate_z
{txt}
{com}.         
.         local controls_noprefix hc2 b_h_del b_h_staff_houses b_visited_d educyr b_assetindex
{txt}
{com}.         
.         foreach bracket in 05 {c -(}
{txt}  2{com}.                 local controls_tfull`bracket'
{txt}  3{com}.                 {c )-}
{txt}
{com}. 
.         foreach bracket in 05 {c -(}
{txt}  2{com}.                 foreach var in treatfull {c -(}
{txt}  3{com}.                         local `var'_`bracket'_controls
{txt}  4{com}.                         {c )-}
{txt}  5{com}.                 {c )-}
{txt}
{com}.                 
.         foreach bracket in 05 {c -(}
{txt}  2{com}.                 foreach var of local controls_noprefix {c -(}
{txt}  3{com}.                         local controls_tfull`bracket' `controls_tfull`bracket'' c_tfull`bracket'_`var'
{txt}  4{com}.                         {c )-}
{txt}  5{com}.                 {c )-}
{txt}
{com}.         
.         foreach bracket in 05 {c -(}
{txt}  2{com}.                 foreach treat in treatfull {c -(}
{txt}  3{com}.                         foreach var of local controls_noprefix {c -(}
{txt}  4{com}.                                 local `treat'_`bracket'_controls ``treat'_`bracket'_controls' c_`treat'`bracket'_`var'
{txt}  5{com}.                                 {c )-}
{txt}  6{com}.                         {c )-}
{txt}  7{com}.                 {c )-}
{txt}
{com}.                 
.         * At endline:
.         
.         **************
.         * No control *
.         **************
.         
.         eststo clear
{txt}
{com}. 
.                 stset e_survmonths_ab_05, failure(dead_endline==1) id(childroster_id)

                {txt}id:  {res}childroster_id
     {txt}failure event:  {res}dead_endline == 1
{txt}obs. time interval:  {res}(e_survmonths_ab_05[_n-1], e_survmonths_ab_05]
{txt} exit on or before:  {res}failure

{txt}{hline 78}
{res}      20478{txt}  total observations
{res}        107{txt}  event time missing (e_survmonths_ab_05>=.)         PROBABLE ERROR
{hline 78}
{res}      20371{txt}  observations remaining, representing
{res}      20371{txt}  subjects
{res}        229{txt}  failures in single-failure-per-subject data
{res}     371556{txt}  total analysis time at risk and under observation
                                                at risk from t = {res}        0
                                     {txt}earliest observed entry t = {res}        0
                                          {txt}last observed exit t = {res}       26
{txt}
{com}.                 stcox treatfull b_mortrate_05 e_birthmonth  if e_agebracket_05 == 1, vce(cluster hc_id)

         {txt}failure _d:  {res}dead_endline == 1
   {txt}analysis time _t:  {res}e_survmonths_ab_05
                 {txt}id:  {res}childroster_id

{txt}Iteration 0:   log pseudolikelihood = {res}-1057.7817
{txt}Iteration 1:   log pseudolikelihood = {res}-1057.6244
{txt}Iteration 2:   log pseudolikelihood = {res}-1057.6244
{txt}Refining estimates:
Iteration 0:   log pseudolikelihood = {res}-1057.6244

{txt}Cox regression -- Breslow method for ties

No. of subjects      = {res}      10,118             {txt}Number of obs    =  {res}    10,118
{txt}No. of failures      = {res}         118
{txt}Time at risk         = {res}      184479
                                                {txt}Wald chi2({res}3{txt})     =  {res}      0.23
{txt}Log pseudolikelihood =   {res}-1057.6244             {txt}Prob > chi2      =  {res}    0.9729

{txt}{ralign 78:(Std. Err. adjusted for {res:187} clusters in hc_id)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}          _t{col 14}{c |} Haz. Ratio{col 26}   Std. Err.{col 38}      z{col 46}   P>|z|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2} 1.049986{col 26}{space 2} .2146826{col 37}{space 1}    0.24{col 46}{space 3}0.811{col 54}{space 4} .7033066{col 67}{space 3} 1.567553
{txt}b_mortrat~05 {c |}{col 14}{res}{space 2} .7132369{col 26}{space 2} 1.192113{col 37}{space 1}   -0.20{col 46}{space 3}0.840{col 54}{space 4} .0269479{col 67}{space 3} 18.87744
{txt}e_birthmonth {c |}{col 14}{res}{space 2} 1.012062{col 26}{space 2} .0276533{col 37}{space 1}    0.44{col 46}{space 3}0.661{col 54}{space 4} .9592884{col 67}{space 3} 1.067739
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}.                 
.                 local n_nocon_`x' = string(`e(N)',"%9.0fc")
{txt}
{com}.                 local b_nocon_`x' = string(exp(_b[treatfull]),"%9.3fc")
{txt}
{com}.                 
.                 local se_nocon_`x' exp(_b[treatfull])*_se[treatfull]
{txt}
{com}.                 local se_nocon_`x' = string(`se_nocon_`x'',"%9.3fc")
{txt}
{com}.                 
.                 local p_nocon_`x' = 0.811
{txt}
{com}.                         
.                 if `p_nocon_`x'' <= 0.1 & `p_nocon_`x'' > 0.05{c -(}
.                         local b_nocon_`x' `b_nocon_`x''*
.                 {c )-}
{txt}
{com}.         
.                 if `p_nocon_`x'' <= 0.05 & `p_nocon_`x'' > 0.01{c -(}
.                         local b_nocon_`x' `b_nocon_`x''**
.                 {c )-}
{txt}
{com}.                 
.                 if `p_nocon_`x'' <= 0.01 & `p_nocon_`x'' > 0 {c -(}
.                         local b_nocon_`x' `b_nocon_`x''***
.                 {c )-}
{txt}
{com}.                 
.                 local csb_nocon_`x' = "n/a"
{txt}
{com}.                 local csse_nocon_`x' = "n/a"
{txt}
{com}.         
.         *********
.         * No FE *
.         *********
.         
.         eststo clear
{txt}
{com}.         
.                 stset e_survmonths_ab_05, failure(dead_endline==1) id(childroster_id)

                {txt}id:  {res}childroster_id
     {txt}failure event:  {res}dead_endline == 1
{txt}obs. time interval:  {res}(e_survmonths_ab_05[_n-1], e_survmonths_ab_05]
{txt} exit on or before:  {res}failure

{txt}{hline 78}
{res}      20478{txt}  total observations
{res}        107{txt}  event time missing (e_survmonths_ab_05>=.)         PROBABLE ERROR
{hline 78}
{res}      20371{txt}  observations remaining, representing
{res}      20371{txt}  subjects
{res}        229{txt}  failures in single-failure-per-subject data
{res}     371556{txt}  total analysis time at risk and under observation
                                                at risk from t = {res}        0
                                     {txt}earliest observed entry t = {res}        0
                                          {txt}last observed exit t = {res}       26
{txt}
{com}.                 stcox treatfull `controls_tfull05' `treatfull_05_controls' b_mortrate_05 e_birthmonth if e_agebracket_05 == 1, vce(cluster hc_id)

         {txt}failure _d:  {res}dead_endline == 1
   {txt}analysis time _t:  {res}e_survmonths_ab_05
                 {txt}id:  {res}childroster_id

{txt}Iteration 0:   log pseudolikelihood = {res}-1057.7817
{txt}Iteration 1:   log pseudolikelihood = {res} -1044.136
{txt}Iteration 2:   log pseudolikelihood = {res}-1043.8103
{txt}Iteration 3:   log pseudolikelihood = {res}-1043.8094
{txt}Iteration 4:   log pseudolikelihood = {res}-1043.8094
{txt}Refining estimates:
Iteration 0:   log pseudolikelihood = {res}-1043.8094

{txt}Cox regression -- Breslow method for ties

No. of subjects      = {res}      10,118             {txt}Number of obs    =  {res}    10,118
{txt}No. of failures      = {res}         118
{txt}Time at risk         = {res}      184479
                                                {txt}Wald chi2({res}15{txt})    =  {res}     26.74
{txt}Log pseudolikelihood =   {res}-1043.8094             {txt}Prob > chi2      =  {res}    0.0309

{txt}{ralign 78:(Std. Err. adjusted for {res:187} clusters in hc_id)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}          _t{col 14}{c |} Haz. Ratio{col 26}   Std. Err.{col 38}      z{col 46}   P>|z|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2} 1.058965{col 26}{space 2} .2386071{col 37}{space 1}    0.25{col 46}{space 3}0.799{col 54}{space 4} .6809072{col 67}{space 3}  1.64693
{txt}c_tfull05_~2 {c |}{col 14}{res}{space 2} 1.073285{col 26}{space 2} .4046006{col 37}{space 1}    0.19{col 46}{space 3}0.851{col 54}{space 4} .5126659{col 67}{space 3} 2.246963
{txt}c_tfull05_~l {c |}{col 14}{res}{space 2}  1.39356{col 26}{space 2} .5813595{col 37}{space 1}    0.80{col 46}{space 3}0.426{col 54}{space 4} .6152122{col 67}{space 3} 3.156649
{txt}c_tfull05_~s {c |}{col 14}{res}{space 2} 1.263697{col 26}{space 2} .6326303{col 37}{space 1}    0.47{col 46}{space 3}0.640{col 54}{space 4} .4737135{col 67}{space 3}  3.37109
{txt}c_tfull05_~d {c |}{col 14}{res}{space 2} .4809056{col 26}{space 2} .2015143{col 37}{space 1}   -1.75{col 46}{space 3}0.081{col 54}{space 4}  .211534{col 67}{space 3}   1.0933
{txt}c_tfull05_~r {c |}{col 14}{res}{space 2} .9797958{col 26}{space 2} .0279112{col 37}{space 1}   -0.72{col 46}{space 3}0.474{col 54}{space 4}   .92659{col 67}{space 3} 1.036057
{txt}c_tfull05_~x {c |}{col 14}{res}{space 2} .6655516{col 26}{space 2} .1267664{col 37}{space 1}   -2.14{col 46}{space 3}0.033{col 54}{space 4} .4581998{col 67}{space 3} .9667373
{txt}c_tr~l05_hc2 {c |}{col 14}{res}{space 2} 1.394156{col 26}{space 2} .6878412{col 37}{space 1}    0.67{col 46}{space 3}0.501{col 54}{space 4} .5300905{col 67}{space 3} 3.666676
{txt}c_treatful.. {c |}{col 14}{res}{space 2} .7723248{col 26}{space 2}  .385476{col 37}{space 1}   -0.52{col 46}{space 3}0.605{col 54}{space 4} .2903727{col 67}{space 3} 2.054207
{txt}c_treatful.. {c |}{col 14}{res}{space 2} .8652581{col 26}{space 2} .5233605{col 37}{space 1}   -0.24{col 46}{space 3}0.811{col 54}{space 4} .2644158{col 67}{space 3} 2.831418
{txt}c_treatful.. {c |}{col 14}{res}{space 2} 2.488371{col 26}{space 2} 1.657888{col 37}{space 1}    1.37{col 46}{space 3}0.171{col 54}{space 4} .6742153{col 67}{space 3} 9.183996
{txt}c_treatful.. {c |}{col 14}{res}{space 2} .9629054{col 26}{space 2} .0415139{col 37}{space 1}   -0.88{col 46}{space 3}0.381{col 54}{space 4} .8848826{col 67}{space 3} 1.047808
{txt}c_treatful.. {c |}{col 14}{res}{space 2} 1.119458{col 26}{space 2} .2737068{col 37}{space 1}    0.46{col 46}{space 3}0.644{col 54}{space 4} .6932495{col 67}{space 3} 1.807699
{txt}b_mortrat~05 {c |}{col 14}{res}{space 2} .8108441{col 26}{space 2} 1.386829{col 37}{space 1}   -0.12{col 46}{space 3}0.902{col 54}{space 4} .0283846{col 67}{space 3} 23.16285
{txt}e_birthmonth {c |}{col 14}{res}{space 2} 1.009223{col 26}{space 2} .0279873{col 37}{space 1}    0.33{col 46}{space 3}0.741{col 54}{space 4} .9558331{col 67}{space 3} 1.065595
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}.                 
.                 local n_nofe_`x' = string(`e(N)',"%9.0fc")
{txt}
{com}.                 local b_nofe_`x' = string(exp(_b[treatfull]),"%9.3fc")
{txt}
{com}.                 local se_nofe_`x' exp(_b[treatfull])*_se[treatfull]
{txt}
{com}.                 local se_nofe_`x' = string(`se_nofe_`x'',"%9.3fc")
{txt}
{com}.                 
.                 local p_nofe_`x' = 0.799
{txt}
{com}.                         
.                 if `p_nofe_`x'' <= 0.1 & `p_nofe_`x'' > 0.05{c -(}
.                         local b_nofe_`x' `b_nofe_`x''*
.                 {c )-}
{txt}
{com}.         
.                 if `p_nofe_`x'' <= 0.05 & `p_nofe_`x'' > 0.01{c -(}
.                         local b_nofe_`x' `b_nofe_`x''**
.                 {c )-}
{txt}
{com}.                 
.                 if `p_nofe_`x'' <= 0.01 & `p_nofe_`x'' > 0 {c -(}
.                         local b_nofe_`x' `b_nofe_`x''***
.                 {c )-}
{txt}
{com}.                 
.                 local csb_nofe_`x' = "n/a"
{txt}
{com}.                 local csse_nofe_`x' = "n/a"
{txt}
{com}.                 
.         * We outsheet the version including child mortality hc 
.         
.         texdoc init "${c -(}tables{c )-}/TableI34.tex", replace force
{res}{txt}(texdoc output file is /Users/fredericcochinard/Dropbox/ACT_Health_JOP_replication_file/3.Tables and Figures/Tables/TableI34.tex)
{res}{txt}
{com}.         tex \begin{c -(}table{c )-}[htbp]\centering
{res}{txt}
{com}.         tex \small
{res}{txt}
{com}.         tex \def\sym#1{c -(}\ifmmode^{c -(}#1{c )-}\else\(^{c -(}#1{c )-}\)\fi{c )-}
{res}{txt}
{com}.         tex \caption{c -(}Robustness checks -- Main outcomes with no HC subcomponents treatment quality{c )-}
{res}{txt}
{com}.         tex \begin{c -(}tabular{c )-}{c -(}lggggggg{c )-}
{res}{txt}
{com}.         tex \toprule
{res}{txt}
{com}.         tex                                                                                       & (1)                       & (2)                                                          & (3)                                                             & (4)                                                        & (5) & (6) & (7)                        \\
{res}{txt}
{com}.     tex                              & \textbf{c -(}\begin{c -(}tabular{c )-}[c]{c -(}@{c -(}{c )-}c@{c -(}{c )-}{c )-}Citizen \\ monitoring\end{c -(}tabular{c )-}{c )-} & \textbf{c -(}\begin{c -(}tabular{c )-}[c]{c -(}@{c -(}{c )-}c@{c -(}{c )-}{c )-}Perceived \\ citizen \\ pressure\end{c -(}tabular{c )-}{c )-} & \textbf{c -(}Utilization{c )-}      & \textbf{c -(}\begin{c -(}tabular{c )-}[c]{c -(}@{c -(}{c )-}c@{c -(}{c )-}{c )-}Treatment \\ quality\end{c -(}tabular{c )-}{c )-} & \textbf{c -(}\begin{c -(}tabular{c )-}[c]{c -(}@{c -(}{c )-}c@{c -(}{c )-}{c )-}Patient \\ satisfaction\end{c -(}tabular{c )-}{c )-} & \textbf{c -(}\begin{c -(}tabular{c )-}[c]{c -(}@{c -(}{c )-}c@{c -(}{c )-}{c )-}Health \\ outcomes\end{c -(}tabular{c )-}{c )-} & \textbf{c -(}\begin{c -(}tabular{c )-}[c]{c -(}@{c -(}{c )-}c@{c -(}{c )-}{c )-}Child \\ mortality\end{c -(}tabular{c )-}{c )-}        \\
{res}{txt}
{com}.         tex \midrule
{res}{txt}
{com}.         tex \textit{c -(}A: Without control variables{c )-} \\
{res}{txt}
{com}.         tex \multirow{c -(}2{c )-}{c -(}*{c )-}{c -(}Program impact{c )-}   &`b_nocon_commtg_z' &`b_nocon_h_ctzpressure_z' &`b_nocon_urate_z'           & `b_nocon_treatqualalt_z'                                                            & `b_nocon_patsat_z'                                                               & `b_nocon_healthoutcome_z'                                                          & `b_nocon_mortrate_05'         \\
{res}{txt}
{com}.         tex  & (`se_nocon_commtg_z') & (`se_nocon_h_ctzpressure_z') & (`se_nocon_urate_z')           & (`se_nocon_treatqualalt_z')                                                            & (`se_nocon_patsat_z')                                                               & (`se_nocon_healthoutcome_z')                                                          & (`se_nocon_mortrate_05')         \\
{res}{txt}
{com}.         tex \multirow{c -(}2{c )-}{c -(}*{c )-}{c -(}Constant{c )-}   &`csb_nocon_commtg_z' &`csb_nocon_h_ctzpressure_z' &`csb_nocon_urate_z'           & `csb_nocon_treatqualalt_z'                                                            & `csb_nocon_patsat_z'                                                               & `csb_nocon_healthoutcome_z'                                                          & `csb_nocon_mortrate_05'         \\
{res}{txt}
{com}.         tex  & (`csse_nocon_commtg_z') & (`csse_nocon_h_ctzpressure_z') & (`csse_nocon_urate_z')           & (`csse_nocon_treatqualalt_z')                                                            & (`csse_nocon_patsat_z')                                                               & (`csse_nocon_healthoutcome_z')                                                          & `csse_nocon_mortrate_05'         \\
{res}{txt}
{com}.         tex \\
{res}{txt}
{com}.         tex \textit{c -(}B: Without district fixed effects{c )-} \\
{res}{txt}
{com}.         tex \multirow{c -(}2{c )-}{c -(}*{c )-}{c -(}Program impact{c )-}   &`b_nofe_commtg_z' &`b_nofe_h_ctzpressure_z' &`b_nofe_urate_z'           & `b_nofe_treatqualalt_z'                                                            & `b_nofe_patsat_z'                                                               & `b_nofe_healthoutcome_z'                                                          & `b_nofe_mortrate_05'         \\
{res}{txt}
{com}.         tex  & (`se_nofe_commtg_z') & (`se_nofe_h_ctzpressure_z') & (`se_nofe_urate_z')           & (`se_nofe_treatqualalt_z')                                                            & (`se_nofe_patsat_z')                                                               & (`se_nofe_healthoutcome_z')                                                          & (`se_nofe_mortrate_05')         \\
{res}{txt}
{com}.         tex \multirow{c -(}2{c )-}{c -(}*{c )-}{c -(}Constant{c )-}   & `csb_nofe_commtg_z' & `csb_nofe_h_ctzpressure_z' & `csb_nofe_urate_z'           & `csb_nofe_treatqualalt_z'                                                            & `csb_nofe_patsat_z'                                                               & `csb_nofe_healthoutcome_z'                                                          & `csb_nofe_mortrate_05'         \\
{res}{txt}
{com}.         tex  & (`csse_nofe_commtg_z') & (`csse_nofe_h_ctzpressure_z') & (`csse_nofe_urate_z')           & (`csse_nofe_treatqualalt_z')                                                            & (`csse_nofe_patsat_z')                                                               & (`csse_nofe_healthoutcome_z')                                                          & `csse_nofe_mortrate_05'         \\
{res}{txt}
{com}.         tex \\ 
{res}{txt}
{com}.         tex \textit{c -(}C: With outcome measures aggregated at HC level{c )-} \\
{res}{txt}
{com}.         tex \multirow{c -(}2{c )-}{c -(}*{c )-}{c -(}Program impact{c )-}   & `b_mean_commtg_z'  & `b_mean_h_ctzpressure_z' & `b_mean_urate_z'           & `b_mean_treatqualalt_z'                                                            & `b_mean_patsat_z'                                                               & `b_mean_healthoutcome_z'                                                          & `b_mean_mortrate_05'         \\
{res}{txt}
{com}.         tex  & (`se_mean_commtg_z')  & (`se_mean_h_ctzpressure_z') & (`se_mean_urate_z')           & (`se_mean_treatqualalt_z')                                                            & (`se_mean_patsat_z')                                                               & (`se_mean_healthoutcome_z')                                                          & (`se_mean_mortrate_05')         \\
{res}{txt}
{com}.         tex \multirow{c -(}2{c )-}{c -(}*{c )-}{c -(}Constant{c )-}   & `csb_mean_commtg_z' & `csb_mean_h_ctzpressure_z' & `csb_mean_urate_z'           & `csb_mean_treatqualalt_z'                                                            & `csb_mean_patsat_z'                                                               & `csb_mean_healthoutcome_z'                                                          & `csb_mean_mortrate_05'         \\
{res}{txt}
{com}.         tex  & (`csse_mean_commtg_z') & (`csse_mean_h_ctzpressure_z') & (`csse_mean_urate_z')           & (`csse_mean_treatqualalt_z')                                                            & (`csse_mean_patsat_z')                                                               & (`csse_mean_healthoutcome_z')                                                          & (`csse_mean_mortrate_05')         \\
{res}{txt}
{com}.         tex \\ 
{res}{txt}
{com}.         tex \textit{c -(}D: Difference between post and pre-treatment values{c )-} \\
{res}{txt}
{com}.         tex \multirow{c -(}2{c )-}{c -(}*{c )-}{c -(}Program impact{c )-}   & `b_dd_commtg_z'  & `b_dd_h_ctzpressure_z' & `b_dd_urate_z'           & `b_dd_treatqualalt_z'                                                            & `b_dd_patsat_z'                                                               & `b_dd_healthoutcome_z'                                                          & `b_dd_mortrate_05'         \\
{res}{txt}
{com}.         tex  & (`se_dd_commtg_z')  & (`se_dd_h_ctzpressure_z')  & (`se_dd_urate_z')           & (`se_dd_treatqualalt_z')                                                            & (`se_dd_patsat_z')                                                               & (`se_dd_healthoutcome_z')                                                          & (`se_dd_mortrate_05')         \\
{res}{txt}
{com}.         tex \multirow{c -(}2{c )-}{c -(}*{c )-}{c -(}Constant{c )-}  & `csb_dd_commtg_z' & `csb_dd_h_ctzpressure_z' & `csb_dd_urate_z'           & `csb_dd_treatqualalt_z'                                                            & `csb_dd_patsat_z'                                                               & `csb_dd_healthoutcome_z'                                                          & `csb_dd_mortrate_05'         \\
{res}{txt}
{com}.         tex & (`csse_dd_commtg_z') & (`csse_dd_h_ctzpressure_z') & (`csse_dd_urate_z')           & (`csse_dd_treatqualalt_z')                                                            & (`csse_dd_patsat_z')                                                               & (`csse_dd_healthoutcome_z')                                                          & (`csse_dd_mortrate_05')         \\
{res}{txt}
{com}.         tex \midrule
{res}{txt}
{com}.         tex Observations (A \& B)  & `n_nocon_commtg_z' & `n_nocon_h_ctzpressure_z' & `n_nocon_urate_z'           & `n_nocon_treatqualalt_z'                                                            & `n_nocon_patsat_z'                                                               & `n_nocon_healthoutcome_z'                                                          & `n_nocon_mortrate_05'         \\
{res}{txt}
{com}.         tex Observations (C) & `n_mean_commtg_z' & `n_mean_h_ctzpressure_z' & `n_mean_urate_z'           & `n_mean_treatqualalt_z'                                                            & `n_mean_patsat_z'                                                               & `n_mean_healthoutcome_z'                                                          & `n_mean_mortrate_05'         \\
{res}{txt}
{com}.         tex Observations (D) & `n_dd_commtg_z' & `n_dd_h_ctzpressure_z' & `n_dd_urate_z'           & `n_dd_treatqualalt_z'                                                            & `n_dd_patsat_z'                                                               & `n_dd_healthoutcome_z'                                                          & `n_dd_mortrate_05'         \\
{res}{txt}
{com}.         tex \bottomrule
{res}{txt}
{com}.         tex \end{c -(}tabular{c )-}
{res}{txt}
{com}.         tex \end{c -(}table{c )-}
{res}{txt}
{com}.         texdoc close
{txt}(texdoc output written to {browse `"/Users/fredericcochinard/Dropbox/ACT_Health_JOP_replication_file/3.Tables and Figures/Tables/TableI34.tex"':/Users/fredericcochinard/Dropbox/ACT_Health_JOP_replication_file/3.Tables and Figures/Tables/TableI34.tex})
{res}{txt}
{com}.         
.         ********************************************************
.         * Table I35: Main outcomes and presence of an official *
.         ********************************************************
.         
.         use "${c -(}usedata{c )-}/chp_el_light_dataset.dta", clear
{txt}
{com}.         
.         * Main outcomes
.         
.         local indices urate_z treatqual_z patsat_z commtg_z
{txt}
{com}.         local indices_ho healthout_z
{txt}
{com}.         local indices_hc mortrate_05 h_ctzpressure_z
{txt}
{com}.         
.         * Main outcomes in details
.         
.         local utilization urate_z visit_hf_z hf_otherpract_z 
{txt}
{com}.         local utilization_vacc immunization_z
{txt}
{com}.         
.         local treatmentqual treatqual_z use_equip_z tot_wait_z trained_z exam_privacy_z taketest_z diagnosis_explained_z 
{txt}
{com}.         local treatmentqual_hclevel h_percentstaff_sv_z h_cleanliness_z h_meanstock_z
{txt}
{com}. 
.         local patsat patsat_z qualitycare_z politestaff_z interest_health_z stafflistening_z freeexpress_z yearb_avail_z
{txt}
{com}.         local patsat_nobaseline qualityhc_d_z
{txt}
{com}.         
.         local healthoutcomes_ho healthout_z 
{txt}
{com}.         local healthoutcomes_ho18m weight_18m_z muac_18m_z
{txt}
{com}.         local healthoutcomes_ho36m weight_36m_z muac_36m_z
{txt}
{com}.         
.         local childmortality mortrate_05 mortrate_01 mortrate_15 
{txt}
{com}.         
.         * Intermediate outcomes
.         
.         local intermediate ctzknow_z eff_z commresp_z relhhhc_z
{txt}
{com}.         local intermediate_hclevel h_hcpknow_z h_hctrans_z
{txt}
{com}.         
.         * Prior to the analysis as a sanity check we try to understand the implication of timing with sc attendance
.         
.         * We need to merge subcounty_id
.         
.         merge m:1 hc_id using "${c -(}usedata{c )-}/subcounty_id.dta", nogen
{res}
{txt}{col 5}Result{col 38}# of obs.
{col 5}{hline 41}
{col 5}not matched{col 30}{res}               0
{txt}{col 5}matched{col 30}{res}          15,295{txt}  
{col 5}{hline 41}

{com}.         
.         merge m:1 hc_id using "${c -(}usedata{c )-}/sc_offical_attendance.dta", nogen
{res}
{txt}{col 5}Result{col 38}# of obs.
{col 5}{hline 41}
{col 5}not matched{col 30}{res}               0
{txt}{col 5}matched{col 30}{res}          15,295{txt}  
{col 5}{hline 41}

{com}.         
.         * We rank the date of intervention
.         
.         byso sc_id : egen rank_inter = rank(bm_h_treatinfo_dateimplmt) if uniquehc == 1 & treatfull == 1, unique
{txt}(15203 missing values generated)

{com}.         lab def rank 1 "First implementation" 2 "Second implementation" 3 "Third implementation"
{txt}
{com}.         lab val rank_inter rank
{txt}
{com}.         
.         ******************
.         * Full treatment *
.         ******************
.         
.         * Full treatment implies we will use control full treatment demeaned.
.         
.         local var treatfull
{txt}
{com}.         
.         eststo clear
{txt}
{com}.         
.         ****************
.         * Main indices *
.         ****************
. 
.         * At endline:
. 
.         eststo clear
{txt}
{com}.         
.         * We regress our main indices
.         
.         foreach x in `indices' {c -(}
{txt}  2{com}.                 areg  e_`x' `var' b_`x' b_`x'_d sc_attend `e_controls_tfull' ``var'_int_e_controls', robust cl(hc_id) a(district)
{txt}  3{com}.         
.                 local n_1_`x' = `e(N)'
{txt}  4{com}.                 local r2_1_`x' = string(`e(r2)',"%9.3fc")
{txt}  5{com}.                 local est_1_`x' = string(_b[`var'],"%9.3fc")
{txt}  6{com}.                 local se_1_`x' = string(_se[`var'],"%9.3fc")
{txt}  7{com}.                 local p_1_`x' = (2 * ttail(e(df_r), abs(_b[`var']/_se[`var'])))
{txt}  8{com}.                 
.                 gen s_1_1s_`x' = (`p_1_`x''<=0.1 & `p_1_`x''>0.05)
{txt}  9{com}.                 gen s_1_2s_`x' = (`p_1_`x''<=0.05 & `p_1_`x''>0.01)
{txt} 10{com}.                 gen s_1_3s_`x' = (`p_1_`x''<=0.01 & `p_1_`x''>=0)
{txt} 11{com}.         
.                 if s_1_1s_`x' == 1 {c -(}
{txt} 12{com}.                                 local est_1_`x' = "`est_1_`x''*"
{txt} 13{com}.                                 {c )-}
{txt} 14{com}.                                 
.                 if s_1_2s_`x' == 1 {c -(}
{txt} 15{com}.                                 local est_1_`x' = "`est_1_`x''**"
{txt} 16{com}.                                 {c )-}
{txt} 17{com}.                                 
.                 if s_1_3s_`x' == 1 {c -(}
{txt} 18{com}.                                 local est_1_`x' = "`est_1_`x''***"
{txt} 19{com}.                                 {c )-}
{txt} 20{com}.                 
.                 local est_2_`x' = string(_b[sc_attend],"%9.3fc")
{txt} 21{com}.                 local se_2_`x' = string(_se[sc_attend],"%9.3fc")
{txt} 22{com}.                 local p_2_`x' = (2 * ttail(e(df_r), abs(_b[sc_attend]/_se[sc_attend])))
{txt} 23{com}.                 
.                 gen s_2_1s_`x' = (`p_2_`x''<=0.1 & `p_2_`x''>0.05)
{txt} 24{com}.                 gen s_2_2s_`x' = (`p_2_`x''<=0.05 & `p_2_`x''>0.01)
{txt} 25{com}.                 gen s_2_3s_`x' = (`p_2_`x''<=0.01 & `p_2_`x''>=0)
{txt} 26{com}.         
.                 if s_2_1s_`x' == 1 {c -(}
{txt} 27{com}.                                 local est_2_`x' = "`est_2_`x''*"
{txt} 28{com}.                                 {c )-}
{txt} 29{com}.                                 
.                 if s_2_2s_`x' == 1 {c -(}
{txt} 30{com}.                                 local est_2_`x' = "`est_2_`x''**"
{txt} 31{com}.                                 {c )-}
{txt} 32{com}.                                 
.                 if s_2_3s_`x' == 1 {c -(}
{txt} 33{com}.                                 local est_2_`x' = "`est_2_`x''***"
{txt} 34{com}.                                 {c )-}
{txt} 35{com}.                 
.                 local est_3_`x' = string(_b[_cons],"%9.3fc")
{txt} 36{com}.                 local se_3_`x' = string(_se[_cons],"%9.3fc")
{txt} 37{com}.                 local p_3_`x' = (2 * ttail(e(df_r), abs(_b[_cons]/_se[_cons])))
{txt} 38{com}.                 
.                 gen s_3_1s_`x' = (`p_3_`x''<=0.1 & `p_3_`x''>0.05)
{txt} 39{com}.                 gen s_3_2s_`x' = (`p_3_`x''<=0.05 & `p_3_`x''>0.01)
{txt} 40{com}.                 gen s_3_3s_`x' = (`p_3_`x''<=0.01 & `p_3_`x''>=0)
{txt} 41{com}.         
.                 if s_3_1s_`x' == 1 {c -(}
{txt} 42{com}.                                 local est_3_`x' = "`est_3_`x''*"
{txt} 43{com}.                                 {c )-}
{txt} 44{com}.                                 
.                 if s_3_2s_`x' == 1 {c -(}
{txt} 45{com}.                                 local est_3_`x' = "`est_3_`x''**"
{txt} 46{com}.                                 {c )-}
{txt} 47{com}.                                 
.                 if s_3_3s_`x' == 1 {c -(}
{txt} 48{com}.                                 local est_3_`x' = "`est_3_`x''***"
{txt} 49{com}.                                 {c )-}
{txt} 50{com}.         
.                 lincom treatfull + sc_attend
{txt} 51{com}.                 local est_4_`x' = string(`r(estimate)',"%9.3fc")
{txt} 52{com}.                 local se_4_`x' = string(`r(se)',"%9.3fc")
{txt} 53{com}.                 local se_4_`x' = "(`se_4_`x'')"
{txt} 54{com}.                 test treatfull + sc_attend = 0
{txt} 55{com}.                 local p_4_`x' = `r(p)'
{txt} 56{com}.                 
.                 gen s_4_1s_`x' = (`p_4_`x''<=0.1 & `p_4_`x''>0.05)
{txt} 57{com}.                 gen s_4_2s_`x' = (`p_4_`x''<=0.05 & `p_4_`x''>0.01)
{txt} 58{com}.                 gen s_4_3s_`x' = (`p_4_`x''<=0.01 & `p_4_`x''>=0)
{txt} 59{com}.         
.                 if s_4_1s_`x' == 1 {c -(}
{txt} 60{com}.                                 local est_4_`x' = "`est_4_`x''*"
{txt} 61{com}.                                 {c )-}
{txt} 62{com}.                                 
.                 if s_4_2s_`x' == 1 {c -(}
{txt} 63{com}.                                 local est_4_`x' = "`est_4_`x''**"
{txt} 64{com}.                                 {c )-}
{txt} 65{com}.                                 
.                 if s_4_3s_`x' == 1 {c -(}
{txt} 66{com}.                                 local est_4_`x' = "`est_4_`x''***"
{txt} 67{com}.                                 {c )-}
{txt} 68{com}.                 
.                 drop s_*
{txt} 69{com}.                 {c )-}
{txt}note: b_urate_z_d omitted because of collinearity
{res}
{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}     7,288
{txt}{col 49}F({res}  15{txt},{res}    186{txt}){col 67}= {res}     54.89
{txt}{col 49}Prob > F{col 67}= {res}    0.0000
{txt}{col 49}R-squared{col 67}= {res}    0.2312
{txt}{col 49}Adj R-squared{col 67}= {res}    0.2280
{txt}{col 49}Root MSE{col 67}= {res}    0.6610

{txt}{ralign 78:(Std. Err. adjusted for {res:187} clusters in hc_id)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}   e_urate_z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2} .0494308{col 26}{space 2} .0232207{col 37}{space 1}    2.13{col 46}{space 3}0.035{col 54}{space 4}  .003621{col 67}{space 3} .0952407
{txt}{space 3}b_urate_z {c |}{col 14}{res}{space 2} .3542111{col 26}{space 2}  .014441{col 37}{space 1}   24.53{col 46}{space 3}0.000{col 54}{space 4}  .325722{col 67}{space 3} .3827003
{txt}{space 1}b_urate_z_d {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 3}sc_attend {c |}{col 14}{res}{space 2}-.0682153{col 26}{space 2} .0357334{col 37}{space 1}   -1.91{col 46}{space 3}0.058{col 54}{space 4}-.1387101{col 67}{space 3} .0022795
{txt}{space 1}c_tfull_hc2 {c |}{col 14}{res}{space 2} .0256398{col 26}{space 2} .0423994{col 37}{space 1}    0.60{col 46}{space 3}0.546{col 54}{space 4}-.0580057{col 67}{space 3} .1092853
{txt}c_tfull_b_~l {c |}{col 14}{res}{space 2} .0325476{col 26}{space 2} .0477586{col 37}{space 1}    0.68{col 46}{space 3}0.496{col 54}{space 4}-.0616705{col 67}{space 3} .1267658
{txt}c_tfull_b_~s {c |}{col 14}{res}{space 2} .0468021{col 26}{space 2} .0489215{col 37}{space 1}    0.96{col 46}{space 3}0.340{col 54}{space 4}-.0497103{col 67}{space 3} .1433145
{txt}c_tfull_b_~d {c |}{col 14}{res}{space 2} .1659511{col 26}{space 2} .0584162{col 37}{space 1}    2.84{col 46}{space 3}0.005{col 54}{space 4} .0507075{col 67}{space 3} .2811947
{txt}c_tfull_ed~r {c |}{col 14}{res}{space 2} -.012799{col 26}{space 2} .0028358{col 37}{space 1}   -4.51{col 46}{space 3}0.000{col 54}{space 4}-.0183934{col 67}{space 3}-.0072046
{txt}c_tfull_b_~x {c |}{col 14}{res}{space 2}-.0390477{col 26}{space 2} .0129635{col 37}{space 1}   -3.01{col 46}{space 3}0.003{col 54}{space 4} -.064622{col 67}{space 3}-.0134734
{txt}c_trea~l_hc2 {c |}{col 14}{res}{space 2}-.0263074{col 26}{space 2} .0515339{col 37}{space 1}   -0.51{col 46}{space 3}0.610{col 54}{space 4}-.1279734{col 67}{space 3} .0753585
{txt}c_treatful.. {c |}{col 14}{res}{space 2}-.0207374{col 26}{space 2} .0556993{col 37}{space 1}   -0.37{col 46}{space 3}0.710{col 54}{space 4} -.130621{col 67}{space 3} .0891462
{txt}c_treatful.. {c |}{col 14}{res}{space 2}-.0293326{col 26}{space 2} .0670468{col 37}{space 1}   -0.44{col 46}{space 3}0.662{col 54}{space 4}-.1616026{col 67}{space 3} .1029374
{txt}c_treatful.. {c |}{col 14}{res}{space 2}-.0358205{col 26}{space 2} .0811142{col 37}{space 1}   -0.44{col 46}{space 3}0.659{col 54}{space 4}-.1958426{col 67}{space 3} .1242016
{txt}c_treatful.. {c |}{col 14}{res}{space 2} .0030048{col 26}{space 2} .0041387{col 37}{space 1}    0.73{col 46}{space 3}0.469{col 54}{space 4}-.0051601{col 67}{space 3} .0111697
{txt}c_treatful.. {c |}{col 14}{res}{space 2}  -.01166{col 26}{space 2} .0188429{col 37}{space 1}   -0.62{col 46}{space 3}0.537{col 54}{space 4}-.0488332{col 67}{space 3} .0255132
{txt}{space 7}_cons {c |}{col 14}{res}{space 2}-.0197051{col 26}{space 2} .0155152{col 37}{space 1}   -1.27{col 46}{space 3}0.206{col 54}{space 4}-.0503135{col 67}{space 3} .0109033
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull + sc_attend = 0{p_end}

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}   e_urate_z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}(1) {c |}{col 14}{res}{space 2}-.0187845{col 26}{space 2} .0342762{col 37}{space 1}   -0.55{col 46}{space 3}0.584{col 54}{space 4}-.0864045{col 67}{space 3} .0488355
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull + sc_attend = 0{p_end}

{txt}       F(  1,   186) ={res}    0.30
{txt}{col 13}Prob > F ={res}    0.5843
{txt}note: b_treatqual_z_d omitted because of collinearity
{res}
{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}     7,288
{txt}{col 49}F({res}  15{txt},{res}    186{txt}){col 67}= {res}      4.16
{txt}{col 49}Prob > F{col 67}= {res}    0.0000
{txt}{col 49}R-squared{col 67}= {res}    0.1041
{txt}{col 49}Adj R-squared{col 67}= {res}    0.1004
{txt}{col 49}Root MSE{col 67}= {res}    0.3511

{txt}{ralign 78:(Std. Err. adjusted for {res:187} clusters in hc_id)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}e_treatq~l_z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2} .0539211{col 26}{space 2} .0284128{col 37}{space 1}    1.90{col 46}{space 3}0.059{col 54}{space 4}-.0021316{col 67}{space 3} .1099739
{txt}b_treatq~l_z {c |}{col 14}{res}{space 2} .1035642{col 26}{space 2} .0201994{col 37}{space 1}    5.13{col 46}{space 3}0.000{col 54}{space 4} .0637149{col 67}{space 3} .1434135
{txt}b_trea~l_z_d {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 3}sc_attend {c |}{col 14}{res}{space 2} .0483956{col 26}{space 2} .0358102{col 37}{space 1}    1.35{col 46}{space 3}0.178{col 54}{space 4}-.0222507{col 67}{space 3}  .119042
{txt}{space 1}c_tfull_hc2 {c |}{col 14}{res}{space 2}-.0700967{col 26}{space 2} .0533422{col 37}{space 1}   -1.31{col 46}{space 3}0.190{col 54}{space 4}-.1753302{col 67}{space 3} .0351369
{txt}c_tfull_b_~l {c |}{col 14}{res}{space 2}-.0156434{col 26}{space 2} .0573006{col 37}{space 1}   -0.27{col 46}{space 3}0.785{col 54}{space 4}-.1286859{col 67}{space 3} .0973992
{txt}c_tfull_b_~s {c |}{col 14}{res}{space 2}  .076063{col 26}{space 2} .0575189{col 37}{space 1}    1.32{col 46}{space 3}0.188{col 54}{space 4}-.0374102{col 67}{space 3} .1895362
{txt}c_tfull_b_~d {c |}{col 14}{res}{space 2}  .006727{col 26}{space 2} .0234943{col 37}{space 1}    0.29{col 46}{space 3}0.775{col 54}{space 4}-.0396226{col 67}{space 3} .0530767
{txt}c_tfull_ed~r {c |}{col 14}{res}{space 2}-.0029531{col 26}{space 2} .0016074{col 37}{space 1}   -1.84{col 46}{space 3}0.068{col 54}{space 4}-.0061242{col 67}{space 3} .0002179
{txt}c_tfull_b_~x {c |}{col 14}{res}{space 2}-.0027544{col 26}{space 2} .0082598{col 37}{space 1}   -0.33{col 46}{space 3}0.739{col 54}{space 4}-.0190494{col 67}{space 3} .0135406
{txt}c_trea~l_hc2 {c |}{col 14}{res}{space 2}  .066614{col 26}{space 2} .0664509{col 37}{space 1}    1.00{col 46}{space 3}0.317{col 54}{space 4}-.0644804{col 67}{space 3} .1977084
{txt}c_treatful.. {c |}{col 14}{res}{space 2} .0734998{col 26}{space 2} .0666572{col 37}{space 1}    1.10{col 46}{space 3}0.272{col 54}{space 4}-.0580015{col 67}{space 3} .2050011
{txt}c_treatful.. {c |}{col 14}{res}{space 2}-.1069689{col 26}{space 2} .0710519{col 37}{space 1}   -1.51{col 46}{space 3}0.134{col 54}{space 4}-.2471401{col 67}{space 3} .0332024
{txt}c_treatful.. {c |}{col 14}{res}{space 2} .0468036{col 26}{space 2} .0325484{col 37}{space 1}    1.44{col 46}{space 3}0.152{col 54}{space 4}-.0174078{col 67}{space 3} .1110151
{txt}c_treatful.. {c |}{col 14}{res}{space 2} .0023333{col 26}{space 2} .0022047{col 37}{space 1}    1.06{col 46}{space 3}0.291{col 54}{space 4}-.0020162{col 67}{space 3} .0066827
{txt}c_treatful.. {c |}{col 14}{res}{space 2}-.0185045{col 26}{space 2}  .012719{col 37}{space 1}   -1.45{col 46}{space 3}0.147{col 54}{space 4}-.0435966{col 67}{space 3} .0065875
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} .0003235{col 26}{space 2} .0200692{col 37}{space 1}    0.02{col 46}{space 3}0.987{col 54}{space 4} -.039269{col 67}{space 3}  .039916
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull + sc_attend = 0{p_end}

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}e_treatq~l_z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}(1) {c |}{col 14}{res}{space 2} .1023168{col 26}{space 2} .0354384{col 37}{space 1}    2.89{col 46}{space 3}0.004{col 54}{space 4} .0324038{col 67}{space 3} .1722297
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull + sc_attend = 0{p_end}

{txt}       F(  1,   186) ={res}    8.34
{txt}{col 13}Prob > F ={res}    0.0043
{txt}note: b_patsat_z_d omitted because of collinearity
{res}
{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}     7,288
{txt}{col 49}F({res}  15{txt},{res}    186{txt}){col 67}= {res}      8.46
{txt}{col 49}Prob > F{col 67}= {res}    0.0000
{txt}{col 49}R-squared{col 67}= {res}    0.0426
{txt}{col 49}Adj R-squared{col 67}= {res}    0.0386
{txt}{col 49}Root MSE{col 67}= {res}    0.5863

{txt}{ralign 78:(Std. Err. adjusted for {res:187} clusters in hc_id)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}  e_patsat_z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2} .0740749{col 26}{space 2} .0256884{col 37}{space 1}    2.88{col 46}{space 3}0.004{col 54}{space 4} .0233968{col 67}{space 3}  .124753
{txt}{space 2}b_patsat_z {c |}{col 14}{res}{space 2} .1381567{col 26}{space 2} .0151347{col 37}{space 1}    9.13{col 46}{space 3}0.000{col 54}{space 4}  .108299{col 67}{space 3} .1680145
{txt}b_patsat_z_d {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 3}sc_attend {c |}{col 14}{res}{space 2} .0079538{col 26}{space 2}    .0375{col 37}{space 1}    0.21{col 46}{space 3}0.832{col 54}{space 4}-.0660262{col 67}{space 3} .0819338
{txt}{space 1}c_tfull_hc2 {c |}{col 14}{res}{space 2} .0126184{col 26}{space 2}  .039986{col 37}{space 1}    0.32{col 46}{space 3}0.753{col 54}{space 4}-.0662659{col 67}{space 3} .0915028
{txt}c_tfull_b_~l {c |}{col 14}{res}{space 2} .1002711{col 26}{space 2} .0517045{col 37}{space 1}    1.94{col 46}{space 3}0.054{col 54}{space 4}-.0017316{col 67}{space 3} .2022737
{txt}c_tfull_b_~s {c |}{col 14}{res}{space 2} .0056279{col 26}{space 2} .0650107{col 37}{space 1}    0.09{col 46}{space 3}0.931{col 54}{space 4}-.1226253{col 67}{space 3} .1338811
{txt}c_tfull_b_~d {c |}{col 14}{res}{space 2} .0026635{col 26}{space 2} .0433134{col 37}{space 1}    0.06{col 46}{space 3}0.951{col 54}{space 4}-.0827852{col 67}{space 3} .0881123
{txt}c_tfull_ed~r {c |}{col 14}{res}{space 2} .0019017{col 26}{space 2} .0028318{col 37}{space 1}    0.67{col 46}{space 3}0.503{col 54}{space 4}-.0036849{col 67}{space 3} .0074884
{txt}c_tfull_b_~x {c |}{col 14}{res}{space 2} .0145489{col 26}{space 2} .0099793{col 37}{space 1}    1.46{col 46}{space 3}0.147{col 54}{space 4}-.0051383{col 67}{space 3} .0342361
{txt}c_trea~l_hc2 {c |}{col 14}{res}{space 2} -.118112{col 26}{space 2} .0547024{col 37}{space 1}   -2.16{col 46}{space 3}0.032{col 54}{space 4} -.226029{col 67}{space 3}-.0101951
{txt}c_treatful.. {c |}{col 14}{res}{space 2}-.1634761{col 26}{space 2} .0637595{col 37}{space 1}   -2.56{col 46}{space 3}0.011{col 54}{space 4}-.2892609{col 67}{space 3}-.0376914
{txt}c_treatful.. {c |}{col 14}{res}{space 2} .0113747{col 26}{space 2} .0751842{col 37}{space 1}    0.15{col 46}{space 3}0.880{col 54}{space 4}-.1369487{col 67}{space 3} .1596981
{txt}c_treatful.. {c |}{col 14}{res}{space 2}-.0226227{col 26}{space 2} .0513775{col 37}{space 1}   -0.44{col 46}{space 3}0.660{col 54}{space 4}-.1239804{col 67}{space 3} .0787349
{txt}c_treatful.. {c |}{col 14}{res}{space 2} .0026318{col 26}{space 2} .0037456{col 37}{space 1}    0.70{col 46}{space 3}0.483{col 54}{space 4}-.0047575{col 67}{space 3}  .010021
{txt}c_treatful.. {c |}{col 14}{res}{space 2}-.0265721{col 26}{space 2} .0143501{col 37}{space 1}   -1.85{col 46}{space 3}0.066{col 54}{space 4} -.054882{col 67}{space 3} .0017379
{txt}{space 7}_cons {c |}{col 14}{res}{space 2}-.0018354{col 26}{space 2} .0177061{col 37}{space 1}   -0.10{col 46}{space 3}0.918{col 54}{space 4} -.036766{col 67}{space 3} .0330952
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull + sc_attend = 0{p_end}

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}  e_patsat_z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}(1) {c |}{col 14}{res}{space 2} .0820288{col 26}{space 2} .0359442{col 37}{space 1}    2.28{col 46}{space 3}0.024{col 54}{space 4}  .011118{col 67}{space 3} .1529395
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull + sc_attend = 0{p_end}

{txt}       F(  1,   186) ={res}    5.21
{txt}{col 13}Prob > F ={res}    0.0236
{txt}note: b_commtg_z_d omitted because of collinearity
{res}
{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}     7,288
{txt}{col 49}F({res}  15{txt},{res}    186{txt}){col 67}= {res}      7.22
{txt}{col 49}Prob > F{col 67}= {res}    0.0000
{txt}{col 49}R-squared{col 67}= {res}    0.0978
{txt}{col 49}Adj R-squared{col 67}= {res}    0.0940
{txt}{col 49}Root MSE{col 67}= {res}    0.5586

{txt}{ralign 78:(Std. Err. adjusted for {res:187} clusters in hc_id)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}  e_commtg_z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2} .0195604{col 26}{space 2} .0292708{col 37}{space 1}    0.67{col 46}{space 3}0.505{col 54}{space 4} -.038185{col 67}{space 3} .0773059
{txt}{space 2}b_commtg_z {c |}{col 14}{res}{space 2} .0745717{col 26}{space 2} .0135743{col 37}{space 1}    5.49{col 46}{space 3}0.000{col 54}{space 4} .0477924{col 67}{space 3}  .101351
{txt}b_commtg_z_d {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 3}sc_attend {c |}{col 14}{res}{space 2}-.0423162{col 26}{space 2} .0478667{col 37}{space 1}   -0.88{col 46}{space 3}0.378{col 54}{space 4}-.1367476{col 67}{space 3} .0521152
{txt}{space 1}c_tfull_hc2 {c |}{col 14}{res}{space 2} .1119377{col 26}{space 2} .0470785{col 37}{space 1}    2.38{col 46}{space 3}0.018{col 54}{space 4} .0190612{col 67}{space 3} .2048142
{txt}c_tfull_b_~l {c |}{col 14}{res}{space 2} .0529428{col 26}{space 2} .0697385{col 37}{space 1}    0.76{col 46}{space 3}0.449{col 54}{space 4}-.0846374{col 67}{space 3}  .190523
{txt}c_tfull_b_~s {c |}{col 14}{res}{space 2}-.0054256{col 26}{space 2} .0816364{col 37}{space 1}   -0.07{col 46}{space 3}0.947{col 54}{space 4}-.1664779{col 67}{space 3} .1556268
{txt}c_tfull_b_~d {c |}{col 14}{res}{space 2} .0441372{col 26}{space 2} .0460995{col 37}{space 1}    0.96{col 46}{space 3}0.340{col 54}{space 4} -.046808{col 67}{space 3} .1350824
{txt}c_tfull_ed~r {c |}{col 14}{res}{space 2} .0040532{col 26}{space 2} .0024104{col 37}{space 1}    1.68{col 46}{space 3}0.094{col 54}{space 4}-.0007021{col 67}{space 3} .0088084
{txt}c_tfull_b_~x {c |}{col 14}{res}{space 2} .0281703{col 26}{space 2}  .011206{col 37}{space 1}    2.51{col 46}{space 3}0.013{col 54}{space 4} .0060632{col 67}{space 3} .0502774
{txt}c_trea~l_hc2 {c |}{col 14}{res}{space 2} .0127661{col 26}{space 2} .0600023{col 37}{space 1}    0.21{col 46}{space 3}0.832{col 54}{space 4}-.1056065{col 67}{space 3} .1311386
{txt}c_treatful.. {c |}{col 14}{res}{space 2} .0566921{col 26}{space 2} .0786471{col 37}{space 1}    0.72{col 46}{space 3}0.472{col 54}{space 4}-.0984629{col 67}{space 3} .2118471
{txt}c_treatful.. {c |}{col 14}{res}{space 2} .0252178{col 26}{space 2} .0834423{col 37}{space 1}    0.30{col 46}{space 3}0.763{col 54}{space 4}-.1393971{col 67}{space 3} .1898326
{txt}c_treatful.. {c |}{col 14}{res}{space 2} .0970636{col 26}{space 2}  .062792{col 37}{space 1}    1.55{col 46}{space 3}0.124{col 54}{space 4}-.0268124{col 67}{space 3} .2209395
{txt}c_treatful.. {c |}{col 14}{res}{space 2} .0009369{col 26}{space 2} .0034598{col 37}{space 1}    0.27{col 46}{space 3}0.787{col 54}{space 4}-.0058887{col 67}{space 3} .0077624
{txt}c_treatful.. {c |}{col 14}{res}{space 2}-.0012812{col 26}{space 2} .0174398{col 37}{space 1}   -0.07{col 46}{space 3}0.942{col 54}{space 4}-.0356864{col 67}{space 3}  .033124
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} .0035191{col 26}{space 2}  .019177{col 37}{space 1}    0.18{col 46}{space 3}0.855{col 54}{space 4}-.0343133{col 67}{space 3} .0413516
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull + sc_attend = 0{p_end}

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}  e_commtg_z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}(1) {c |}{col 14}{res}{space 2}-.0227558{col 26}{space 2} .0463617{col 37}{space 1}   -0.49{col 46}{space 3}0.624{col 54}{space 4}-.1142181{col 67}{space 3} .0687065
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull + sc_attend = 0{p_end}

{txt}       F(  1,   186) ={res}    0.24
{txt}{col 13}Prob > F ={res}    0.6241
{txt}
{com}.                 
.                 
.         foreach x in `indices_ho' {c -(}
{txt}  2{com}.                 areg  e_`x' `var' b_`x' b_`x'_d sc_attend `e_controls_tfull_hoe' `tfulli_hoe_e_controls', robust cl(hc_id) a(district)
{txt}  3{com}.                 
.                 local n_1_`x' = `e(N)'
{txt}  4{com}.                 local r2_1_`x' = string(`e(r2)',"%9.3fc")
{txt}  5{com}.                 local est_1_`x' = string(_b[`var'],"%9.3fc")
{txt}  6{com}.                 local se_1_`x' = string(_se[`var'],"%9.3fc")
{txt}  7{com}.                 local p_1_`x' = (2 * ttail(e(df_r), abs(_b[`var']/_se[`var'])))
{txt}  8{com}.                 
.                 gen s_1_1s_`x' = (`p_1_`x''<=0.1 & `p_1_`x''>0.05)
{txt}  9{com}.                 gen s_1_2s_`x' = (`p_1_`x''<=0.05 & `p_1_`x''>0.01)
{txt} 10{com}.                 gen s_1_3s_`x' = (`p_1_`x''<=0.01 & `p_1_`x''>=0)
{txt} 11{com}.         
.                 if s_1_1s_`x' == 1 {c -(}
{txt} 12{com}.                                 local est_1_`x' = "`est_1_`x''*"
{txt} 13{com}.                                 {c )-}
{txt} 14{com}.                                 
.                 if s_1_2s_`x' == 1 {c -(}
{txt} 15{com}.                                 local est_1_`x' = "`est_1_`x''**"
{txt} 16{com}.                                 {c )-}
{txt} 17{com}.                                 
.                 if s_1_3s_`x' == 1 {c -(}
{txt} 18{com}.                                 local est_1_`x' = "`est_1_`x''***"
{txt} 19{com}.                                 {c )-}
{txt} 20{com}.                 
.                 local est_2_`x' = string(_b[sc_attend],"%9.3fc")
{txt} 21{com}.                 local se_2_`x' = string(_se[sc_attend],"%9.3fc")
{txt} 22{com}.                 local p_2_`x' = (2 * ttail(e(df_r), abs(_b[sc_attend]/_se[sc_attend])))
{txt} 23{com}.                 
.                 gen s_2_1s_`x' = (`p_2_`x''<=0.1 & `p_2_`x''>0.05)
{txt} 24{com}.                 gen s_2_2s_`x' = (`p_2_`x''<=0.05 & `p_2_`x''>0.01)
{txt} 25{com}.                 gen s_2_3s_`x' = (`p_2_`x''<=0.01 & `p_2_`x''>=0)
{txt} 26{com}.         
.                 if s_2_1s_`x' == 1 {c -(}
{txt} 27{com}.                                 local est_2_`x' = "`est_2_`x''*"
{txt} 28{com}.                                 {c )-}
{txt} 29{com}.                                 
.                 if s_2_2s_`x' == 1 {c -(}
{txt} 30{com}.                                 local est_2_`x' = "`est_2_`x''**"
{txt} 31{com}.                                 {c )-}
{txt} 32{com}.                                 
.                 if s_2_3s_`x' == 1 {c -(}
{txt} 33{com}.                                 local est_2_`x' = "`est_2_`x''***"
{txt} 34{com}.                                 {c )-}
{txt} 35{com}.                 
.                 local est_3_`x' = string(_b[_cons],"%9.3fc")
{txt} 36{com}.                 local se_3_`x' = string(_se[_cons],"%9.3fc")
{txt} 37{com}.                 local p_3_`x' = (2 * ttail(e(df_r), abs(_b[_cons]/_se[_cons])))
{txt} 38{com}.                 
.                 gen s_3_1s_`x' = (`p_3_`x''<=0.1 & `p_3_`x''>0.05)
{txt} 39{com}.                 gen s_3_2s_`x' = (`p_3_`x''<=0.05 & `p_3_`x''>0.01)
{txt} 40{com}.                 gen s_3_3s_`x' = (`p_3_`x''<=0.01 & `p_3_`x''>=0)
{txt} 41{com}.         
.                 if s_3_1s_`x' == 1 {c -(}
{txt} 42{com}.                                 local est_3_`x' = "`est_3_`x''*"
{txt} 43{com}.                                 {c )-}
{txt} 44{com}.                                 
.                 if s_3_2s_`x' == 1 {c -(}
{txt} 45{com}.                                 local est_3_`x' = "`est_3_`x''**"
{txt} 46{com}.                                 {c )-}
{txt} 47{com}.                                 
.                 if s_3_3s_`x' == 1 {c -(}
{txt} 48{com}.                                 local est_3_`x' = "`est_3_`x''***"
{txt} 49{com}.                                 {c )-}
{txt} 50{com}.         
.                 lincom treatfull + sc_attend
{txt} 51{com}.                 local est_4_`x' = string(`r(estimate)',"%9.3fc")
{txt} 52{com}.                 local se_4_`x' = string(`r(se)',"%9.3fc")
{txt} 53{com}.                 local se_4_`x' = "(`se_4_`x'')"
{txt} 54{com}.                 test treatfull + sc_attend = 0
{txt} 55{com}.                 local p_4_`x' = `r(p)'
{txt} 56{com}.                 
.                 gen s_4_1s_`x' = (`p_4_`x''<=0.1 & `p_4_`x''>0.05)
{txt} 57{com}.                 gen s_4_2s_`x' = (`p_4_`x''<=0.05 & `p_4_`x''>0.01)
{txt} 58{com}.                 gen s_4_3s_`x' = (`p_4_`x''<=0.01 & `p_4_`x''>=0)
{txt} 59{com}.         
.                 if s_4_1s_`x' == 1 {c -(}
{txt} 60{com}.                                 local est_4_`x' = "`est_4_`x''*"
{txt} 61{com}.                                 {c )-}
{txt} 62{com}.                                 
.                 if s_4_2s_`x' == 1 {c -(}
{txt} 63{com}.                                 local est_4_`x' = "`est_4_`x''**"
{txt} 64{com}.                                 {c )-}
{txt} 65{com}.                                 
.                 if s_4_3s_`x' == 1 {c -(}
{txt} 66{com}.                                 local est_4_`x' = "`est_4_`x''***"
{txt} 67{com}.                                 {c )-}
{txt} 68{com}.                 
.                 drop s_*
{txt} 69{com}.                 {c )-}
{txt}note: b_healthout_z_d omitted because of collinearity
{res}
{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}     4,212
{txt}{col 49}F({res}  15{txt},{res}    186{txt}){col 67}= {res}      8.52
{txt}{col 49}Prob > F{col 67}= {res}    0.0000
{txt}{col 49}R-squared{col 67}= {res}    0.0263
{txt}{col 49}Adj R-squared{col 67}= {res}    0.0193
{txt}{col 49}Root MSE{col 67}= {res}    0.8930

{txt}{ralign 78:(Std. Err. adjusted for {res:187} clusters in hc_id)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}e_health~t_z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2}-.0057136{col 26}{space 2} .0315065{col 37}{space 1}   -0.18{col 46}{space 3}0.856{col 54}{space 4}-.0678696{col 67}{space 3} .0564425
{txt}b_health~t_z {c |}{col 14}{res}{space 2} .1564042{col 26}{space 2} .0195306{col 37}{space 1}    8.01{col 46}{space 3}0.000{col 54}{space 4} .1178743{col 67}{space 3}  .194934
{txt}b_healthou~d {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 3}sc_attend {c |}{col 14}{res}{space 2}-.0473642{col 26}{space 2} .0399161{col 37}{space 1}   -1.19{col 46}{space 3}0.237{col 54}{space 4}-.1261108{col 67}{space 3} .0313823
{txt}c_~l_hoe_hc2 {c |}{col 14}{res}{space 2} .0610903{col 26}{space 2} .0566264{col 37}{space 1}    1.08{col 46}{space 3}0.282{col 54}{space 4}-.0506223{col 67}{space 3} .1728029
{txt}c_tfull_ho.. {c |}{col 14}{res}{space 2}  .006287{col 26}{space 2} .0722095{col 37}{space 1}    0.09{col 46}{space 3}0.931{col 54}{space 4}-.1361679{col 67}{space 3} .1487418
{txt}c_tfull_ho.. {c |}{col 14}{res}{space 2} .0296135{col 26}{space 2} .0774689{col 37}{space 1}    0.38{col 46}{space 3}0.703{col 54}{space 4}-.1232172{col 67}{space 3} .1824443
{txt}c_tfull_ho.. {c |}{col 14}{res}{space 2}-.0607427{col 26}{space 2} .0804901{col 37}{space 1}   -0.75{col 46}{space 3}0.451{col 54}{space 4}-.2195335{col 67}{space 3} .0980481
{txt}c_tfull_ho.. {c |}{col 14}{res}{space 2} .0087425{col 26}{space 2} .0060248{col 37}{space 1}    1.45{col 46}{space 3}0.148{col 54}{space 4}-.0031431{col 67}{space 3} .0206282
{txt}c_tfull_ho.. {c |}{col 14}{res}{space 2} .0788695{col 26}{space 2} .0247284{col 37}{space 1}    3.19{col 46}{space 3}0.002{col 54}{space 4} .0300853{col 67}{space 3} .1276536
{txt}c~li_hoe_hc2 {c |}{col 14}{res}{space 2}-.0783423{col 26}{space 2} .0671112{col 37}{space 1}   -1.17{col 46}{space 3}0.245{col 54}{space 4}-.2107393{col 67}{space 3} .0540546
{txt}c_tfulli_h.. {c |}{col 14}{res}{space 2} -.074916{col 26}{space 2} .0766099{col 37}{space 1}   -0.98{col 46}{space 3}0.329{col 54}{space 4} -.226052{col 67}{space 3}   .07622
{txt}c_tfulli_h.. {c |}{col 14}{res}{space 2}-.0343462{col 26}{space 2} .0843059{col 37}{space 1}   -0.41{col 46}{space 3}0.684{col 54}{space 4}-.2006649{col 67}{space 3} .1319725
{txt}c_tfulli_h.. {c |}{col 14}{res}{space 2} -.054504{col 26}{space 2} .1057445{col 37}{space 1}   -0.52{col 46}{space 3}0.607{col 54}{space 4}-.2631168{col 67}{space 3} .1541087
{txt}c_tfulli_h.. {c |}{col 14}{res}{space 2} .0002076{col 26}{space 2} .0075777{col 37}{space 1}    0.03{col 46}{space 3}0.978{col 54}{space 4}-.0147418{col 67}{space 3}  .015157
{txt}c_tfulli_h.. {c |}{col 14}{res}{space 2}-.0530625{col 26}{space 2} .0292219{col 37}{space 1}   -1.82{col 46}{space 3}0.071{col 54}{space 4}-.1107115{col 67}{space 3} .0045865
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} .0038958{col 26}{space 2} .0210291{col 37}{space 1}    0.19{col 46}{space 3}0.853{col 54}{space 4}-.0375905{col 67}{space 3} .0453821
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull + sc_attend = 0{p_end}

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}e_health~t_z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}(1) {c |}{col 14}{res}{space 2}-.0530778{col 26}{space 2} .0360164{col 37}{space 1}   -1.47{col 46}{space 3}0.142{col 54}{space 4}-.1241309{col 67}{space 3} .0179754
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull + sc_attend = 0{p_end}

{txt}       F(  1,   186) ={res}    2.17
{txt}{col 13}Prob > F ={res}    0.1422
{txt}
{com}.         
.         foreach x in `indices_hc' {c -(}
{txt}  2{com}.                 areg  e_`x' `var' b_`x' sc_attend `e_controls_tfull_hc' ``var'_hc_int_e_controls' if uniquehc == 1, robust a(district)
{txt}  3{com}. 
.                 local n_1_`x' = `e(N)'
{txt}  4{com}.                 local r2_1_`x' = string(`e(r2)',"%9.3fc")
{txt}  5{com}.                 local est_1_`x' = string(_b[`var'],"%9.3fc")
{txt}  6{com}.                 local se_1_`x' = string(_se[`var'],"%9.3fc")
{txt}  7{com}.                 local p_1_`x' = (2 * ttail(e(df_r), abs(_b[`var']/_se[`var'])))
{txt}  8{com}.                 
.                 gen s_1_1s_`x' = (`p_1_`x''<=0.1 & `p_1_`x''>0.05)
{txt}  9{com}.                 gen s_1_2s_`x' = (`p_1_`x''<=0.05 & `p_1_`x''>0.01)
{txt} 10{com}.                 gen s_1_3s_`x' = (`p_1_`x''<=0.01 & `p_1_`x''>=0)
{txt} 11{com}.         
.                 if s_1_1s_`x' == 1 {c -(}
{txt} 12{com}.                                 local est_1_`x' = "`est_1_`x''*"
{txt} 13{com}.                                 {c )-}
{txt} 14{com}.                                 
.                 if s_1_2s_`x' == 1 {c -(}
{txt} 15{com}.                                 local est_1_`x' = "`est_1_`x''**"
{txt} 16{com}.                                 {c )-}
{txt} 17{com}.                                 
.                 if s_1_3s_`x' == 1 {c -(}
{txt} 18{com}.                                 local est_1_`x' = "`est_1_`x''***"
{txt} 19{com}.                                 {c )-}
{txt} 20{com}.                 
.                 local est_2_`x' = string(_b[sc_attend],"%9.3fc")
{txt} 21{com}.                 local se_2_`x' = string(_se[sc_attend],"%9.3fc")
{txt} 22{com}.                 local p_2_`x' = (2 * ttail(e(df_r), abs(_b[sc_attend]/_se[sc_attend])))
{txt} 23{com}.                 
.                 gen s_2_1s_`x' = (`p_2_`x''<=0.1 & `p_2_`x''>0.05)
{txt} 24{com}.                 gen s_2_2s_`x' = (`p_2_`x''<=0.05 & `p_2_`x''>0.01)
{txt} 25{com}.                 gen s_2_3s_`x' = (`p_2_`x''<=0.01 & `p_2_`x''>=0)
{txt} 26{com}.         
.                 if s_2_1s_`x' == 1 {c -(}
{txt} 27{com}.                                 local est_2_`x' = "`est_2_`x''*"
{txt} 28{com}.                                 {c )-}
{txt} 29{com}.                                 
.                 if s_2_2s_`x' == 1 {c -(}
{txt} 30{com}.                                 local est_2_`x' = "`est_2_`x''**"
{txt} 31{com}.                                 {c )-}
{txt} 32{com}.                                 
.                 if s_2_3s_`x' == 1 {c -(}
{txt} 33{com}.                                 local est_2_`x' = "`est_2_`x''***"
{txt} 34{com}.                                 {c )-}
{txt} 35{com}.                 
.                 local est_3_`x' = string(_b[_cons],"%9.3fc")
{txt} 36{com}.                 local se_3_`x' = string(_se[_cons],"%9.3fc")
{txt} 37{com}.                 local p_3_`x' = (2 * ttail(e(df_r), abs(_b[_cons]/_se[_cons])))
{txt} 38{com}.                 
.                 gen s_3_1s_`x' = (`p_3_`x''<=0.1 & `p_3_`x''>0.05)
{txt} 39{com}.                 gen s_3_2s_`x' = (`p_3_`x''<=0.05 & `p_3_`x''>0.01)
{txt} 40{com}.                 gen s_3_3s_`x' = (`p_3_`x''<=0.01 & `p_3_`x''>=0)
{txt} 41{com}.         
.                 if s_3_1s_`x' == 1 {c -(}
{txt} 42{com}.                                 local est_3_`x' = "`est_3_`x''*"
{txt} 43{com}.                                 {c )-}
{txt} 44{com}.                                 
.                 if s_3_2s_`x' == 1 {c -(}
{txt} 45{com}.                                 local est_3_`x' = "`est_3_`x''**"
{txt} 46{com}.                                 {c )-}
{txt} 47{com}.                                 
.                 if s_3_3s_`x' == 1 {c -(}
{txt} 48{com}.                                 local est_3_`x' = "`est_3_`x''***"
{txt} 49{com}.                                 {c )-}
{txt} 50{com}.         
.                 lincom treatfull + sc_attend
{txt} 51{com}.                 local est_4_`x' = string(`r(estimate)',"%9.3fc")
{txt} 52{com}.                 local se_4_`x' = string(`r(se)',"%9.3fc")
{txt} 53{com}.                 test treatfull + sc_attend = 0
{txt} 54{com}.                 local p_4_`x' = `r(p)'
{txt} 55{com}.                 
.                 gen s_4_1s_`x' = (`p_4_`x''<=0.1 & `p_4_`x''>0.05)
{txt} 56{com}.                 gen s_4_2s_`x' = (`p_4_`x''<=0.05 & `p_4_`x''>0.01)
{txt} 57{com}.                 gen s_4_3s_`x' = (`p_4_`x''<=0.01 & `p_4_`x''>=0)
{txt} 58{com}.         
.                 if s_4_1s_`x' == 1 {c -(}
{txt} 59{com}.                                 local est_4_`x' = "`est_4_`x''*"
{txt} 60{com}.                                 {c )-}
{txt} 61{com}.                                 
.                 if s_4_2s_`x' == 1 {c -(}
{txt} 62{com}.                                 local est_4_`x' = "`est_4_`x''**"
{txt} 63{com}.                                 {c )-}
{txt} 64{com}.                                 
.                 if s_4_3s_`x' == 1 {c -(}
{txt} 65{com}.                                 local est_4_`x' = "`est_4_`x''***"
{txt} 66{com}.                                 {c )-}
{txt} 67{com}.                 
.                 drop s_*
{txt} 68{com}.                 {c )-}
{res}
{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}       187
{txt}{col 49}F({res}  15{txt},{res}    156{txt}){col 67}= {res}      1.31
{txt}{col 49}Prob > F{col 67}= {res}    0.2001
{txt}{col 49}R-squared{col 67}= {res}    0.1974
{txt}{col 49}Adj R-squared{col 67}= {res}    0.0431
{txt}{col 49}Root MSE{col 67}= {res}    0.0536

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}e_mortrat~05{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2}-.0108532{col 26}{space 2} .0087867{col 37}{space 1}   -1.24{col 46}{space 3}0.219{col 54}{space 4}-.0282095{col 67}{space 3}  .006503
{txt}b_mortrat~05 {c |}{col 14}{res}{space 2} .0814687{col 26}{space 2} .0660506{col 37}{space 1}    1.23{col 46}{space 3}0.219{col 54}{space 4}-.0490002{col 67}{space 3} .2119375
{txt}{space 3}sc_attend {c |}{col 14}{res}{space 2} .0010073{col 26}{space 2} .0130531{col 37}{space 1}    0.08{col 46}{space 3}0.939{col 54}{space 4}-.0247764{col 67}{space 3}  .026791
{txt}c_tf~_hc_hc2 {c |}{col 14}{res}{space 2} .0083945{col 26}{space 2} .0169074{col 37}{space 1}    0.50{col 46}{space 3}0.620{col 54}{space 4}-.0250026{col 67}{space 3} .0417915
{txt}c_tfull_hc~l {c |}{col 14}{res}{space 2} .0020573{col 26}{space 2} .0212469{col 37}{space 1}    0.10{col 46}{space 3}0.923{col 54}{space 4}-.0399114{col 67}{space 3}  .044026
{txt}c_tfull_hc~s {c |}{col 14}{res}{space 2} .0114885{col 26}{space 2} .0224518{col 37}{space 1}    0.51{col 46}{space 3}0.610{col 54}{space 4}-.0328604{col 67}{space 3} .0558373
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2} .0309106{col 26}{space 2} .0570624{col 37}{space 1}    0.54{col 46}{space 3}0.589{col 54}{space 4}-.0818041{col 67}{space 3} .1436252
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2}-.0063846{col 26}{space 2} .0071849{col 37}{space 1}   -0.89{col 46}{space 3}0.376{col 54}{space 4}-.0205768{col 67}{space 3} .0078076
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2} .0158921{col 26}{space 2} .0212576{col 37}{space 1}    0.75{col 46}{space 3}0.456{col 54}{space 4}-.0260978{col 67}{space 3} .0578819
{txt}c_treatful.. {c |}{col 14}{res}{space 2}-.0047191{col 26}{space 2}  .019448{col 37}{space 1}   -0.24{col 46}{space 3}0.809{col 54}{space 4}-.0431345{col 67}{space 3} .0336963
{txt}c_treatful.. {c |}{col 14}{res}{space 2}-.0018495{col 26}{space 2} .0235232{col 37}{space 1}   -0.08{col 46}{space 3}0.937{col 54}{space 4}-.0483147{col 67}{space 3} .0446156
{txt}c_treatful.. {c |}{col 14}{res}{space 2}-.0353805{col 26}{space 2}  .027664{col 37}{space 1}   -1.28{col 46}{space 3}0.203{col 54}{space 4}-.0900248{col 67}{space 3} .0192638
{txt}c_treatful.. {c |}{col 14}{res}{space 2}-.1735517{col 26}{space 2} .0913179{col 37}{space 1}   -1.90{col 46}{space 3}0.059{col 54}{space 4}-.3539309{col 67}{space 3} .0068274
{txt}c_treatful.. {c |}{col 14}{res}{space 2}-.0026976{col 26}{space 2} .0087269{col 37}{space 1}   -0.31{col 46}{space 3}0.758{col 54}{space 4}-.0199358{col 67}{space 3} .0145407
{txt}c_treatful.. {c |}{col 14}{res}{space 2}-.0169138{col 26}{space 2}  .027849{col 37}{space 1}   -0.61{col 46}{space 3}0.545{col 54}{space 4}-.0719236{col 67}{space 3}  .038096
{txt}{space 7}_cons {c |}{col 14}{res}{space 2}  .060576{col 26}{space 2} .0063725{col 37}{space 1}    9.51{col 46}{space 3}0.000{col 54}{space 4} .0479884{col 67}{space 3} .0731636
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull + sc_attend = 0{p_end}

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}e_mortrat~05{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}(1) {c |}{col 14}{res}{space 2} -.009846{col 26}{space 2}   .01227{col 37}{space 1}   -0.80{col 46}{space 3}0.424{col 54}{space 4}-.0340828{col 67}{space 3} .0143908
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull + sc_attend = 0{p_end}

{txt}       F(  1,   156) ={res}    0.64
{txt}{col 13}Prob > F ={res}    0.4235

{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}       187
{txt}{col 49}F({res}  15{txt},{res}    156{txt}){col 67}= {res}      1.16
{txt}{col 49}Prob > F{col 67}= {res}    0.3086
{txt}{col 49}R-squared{col 67}= {res}    0.1525
{txt}{col 49}Adj R-squared{col 67}= {res}   -0.0105
{txt}{col 49}Root MSE{col 67}= {res}    0.6924

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}e_h_ctzpre~z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2}-.1476382{col 26}{space 2} .1268509{col 37}{space 1}   -1.16{col 46}{space 3}0.246{col 54}{space 4}-.3982052{col 67}{space 3} .1029287
{txt}b_h_ctzpre~z {c |}{col 14}{res}{space 2} .0081935{col 26}{space 2} .0683185{col 37}{space 1}    0.12{col 46}{space 3}0.905{col 54}{space 4}-.1267552{col 67}{space 3} .1431423
{txt}{space 3}sc_attend {c |}{col 14}{res}{space 2} .0244798{col 26}{space 2} .1451959{col 37}{space 1}    0.17{col 46}{space 3}0.866{col 54}{space 4}-.2623239{col 67}{space 3} .3112834
{txt}c_tf~_hc_hc2 {c |}{col 14}{res}{space 2}-.0851997{col 26}{space 2} .1528344{col 37}{space 1}   -0.56{col 46}{space 3}0.578{col 54}{space 4}-.3870917{col 67}{space 3} .2166922
{txt}c_tfull_hc~l {c |}{col 14}{res}{space 2} .0665664{col 26}{space 2}  .196139{col 37}{space 1}    0.34{col 46}{space 3}0.735{col 54}{space 4}-.3208645{col 67}{space 3} .4539973
{txt}c_tfull_hc~s {c |}{col 14}{res}{space 2}  .632684{col 26}{space 2} .2582419{col 37}{space 1}    2.45{col 46}{space 3}0.015{col 54}{space 4}  .122582{col 67}{space 3} 1.142786
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2}-.6247521{col 26}{space 2} .5805266{col 37}{space 1}   -1.08{col 46}{space 3}0.284{col 54}{space 4}-1.771459{col 67}{space 3} .5219548
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2}-.0477817{col 26}{space 2} .0848916{col 37}{space 1}   -0.56{col 46}{space 3}0.574{col 54}{space 4} -.215467{col 67}{space 3} .1199037
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2}-.1589971{col 26}{space 2}  .236274{col 37}{space 1}   -0.67{col 46}{space 3}0.502{col 54}{space 4}-.6257061{col 67}{space 3} .3077119
{txt}c_treatful.. {c |}{col 14}{res}{space 2} .0562832{col 26}{space 2} .2441567{col 37}{space 1}    0.23{col 46}{space 3}0.818{col 54}{space 4}-.4259965{col 67}{space 3} .5385629
{txt}c_treatful.. {c |}{col 14}{res}{space 2}-.1741403{col 26}{space 2} .2477577{col 37}{space 1}   -0.70{col 46}{space 3}0.483{col 54}{space 4}-.6635329{col 67}{space 3} .3152524
{txt}c_treatful.. {c |}{col 14}{res}{space 2}-.5845926{col 26}{space 2} .2792435{col 37}{space 1}   -2.09{col 46}{space 3}0.038{col 54}{space 4}-1.136179{col 67}{space 3}-.0330064
{txt}c_treatful.. {c |}{col 14}{res}{space 2} .9262323{col 26}{space 2} 1.023725{col 37}{space 1}    0.90{col 46}{space 3}0.367{col 54}{space 4}-1.095918{col 67}{space 3} 2.948383
{txt}c_treatful.. {c |}{col 14}{res}{space 2} .1488203{col 26}{space 2} .1222031{col 37}{space 1}    1.22{col 46}{space 3}0.225{col 54}{space 4}-.0925659{col 67}{space 3} .3902065
{txt}c_treatful.. {c |}{col 14}{res}{space 2}-.0438109{col 26}{space 2} .2798125{col 37}{space 1}   -0.16{col 46}{space 3}0.876{col 54}{space 4} -.596521{col 67}{space 3} .5088992
{txt}{space 7}_cons {c |}{col 14}{res}{space 2}  .014762{col 26}{space 2} .0643536{col 37}{space 1}    0.23{col 46}{space 3}0.819{col 54}{space 4}-.1123549{col 67}{space 3} .1418789
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull + sc_attend = 0{p_end}

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}e_h_ctzpre~z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}(1) {c |}{col 14}{res}{space 2}-.1231584{col 26}{space 2} .1122862{col 37}{space 1}   -1.10{col 46}{space 3}0.274{col 54}{space 4}-.3449559{col 67}{space 3}  .098639
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull + sc_attend = 0{p_end}

{txt}       F(  1,   156) ={res}    1.20
{txt}{col 13}Prob > F ={res}    0.2744
{txt}
{com}.                 
.         * We create the tables concerning the results of the main indices
.         
.         texdoc init "${c -(}tables{c )-}/TableI35.tex", replace force
{res}{txt}(texdoc output file is /Users/fredericcochinard/Dropbox/ACT_Health_JOP_replication_file/3.Tables and Figures/Tables/TableI35.tex)
{res}{txt}
{com}.         tex \begin{c -(}table{c )-}[htbp]\centering
{res}{txt}
{com}.         tex \footnotesize
{res}{txt}
{com}.         tex \def\sym#1{c -(}\ifmmode^{c -(}#1{c )-}\else\(^{c -(}#1{c )-}\)\fi{c )-}
{res}{txt}
{com}.         tex \caption{c -(}Main outcomes: Averaged z-score indices{c )-}
{res}{txt}
{com}.         tex \begin{c -(}tabular{c )-}{c -(}lgggggggg{c )-}
{res}{txt}
{com}.         tex \toprule
{res}{txt}
{com}.         tex                                                                                       & (1)                       & (2)                                                          & (3)                                                             & (4)                                                        & (5) & (6) & (7)                       \\
{res}{txt}
{com}.     tex \multirow{c -(}-2{c )-}{c -(}*{c )-}{c -(}{c )-}                      & \textbf{c -(}\begin{c -(}tabular{c )-}[c]{c -(}@{c -(}{c )-}c@{c -(}{c )-}{c )-}Citizen \\ monitoring\end{c -(}tabular{c )-}{c )-} & \textbf{c -(}\begin{c -(}tabular{c )-}[c]{c -(}@{c -(}{c )-}c@{c -(}{c )-}{c )-}Perceived \\ citizen \\ pressure\end{c -(}tabular{c )-}{c )-}         & \textbf{c -(}Utilization{c )-}      & \textbf{c -(}\begin{c -(}tabular{c )-}[c]{c -(}@{c -(}{c )-}c@{c -(}{c )-}{c )-}Treatment \\ quality\end{c -(}tabular{c )-}{c )-} & \textbf{c -(}\begin{c -(}tabular{c )-}[c]{c -(}@{c -(}{c )-}c@{c -(}{c )-}{c )-}Patient \\ satisfaction\end{c -(}tabular{c )-}{c )-} & \textbf{c -(}\begin{c -(}tabular{c )-}[c]{c -(}@{c -(}{c )-}c@{c -(}{c )-}{c )-}Health \\ outcomes\end{c -(}tabular{c )-}{c )-} & \textbf{c -(}\begin{c -(}tabular{c )-}[c]{c -(}@{c -(}{c )-}c@{c -(}{c )-}{c )-}Child \\ mortality\end{c -(}tabular{c )-}{c )-}        \\
{res}{txt}
{com}.         tex \midrule
{res}{txt}
{com}.         tex \multirow{c -(}2{c )-}{c -(}*{c )-}{c -(}Full treatment{c )-}  & `est_1_commtg_z' & `est_1_h_ctzpressure_z' & `est_1_urate_z'           & `est_1_treatqual_z'                                                            & `est_1_patsat_z'                                                               & `est_1_healthout_z'                                                          & `est_1_mortrate_05'         \\
{res}{txt}
{com}.         tex  & (`se_1_commtg_z') & (`se_1_h_ctzpressure_z') & (`se_1_urate_z')           & (`se_1_treatqual_z')                                                            & (`se_1_patsat_z')                                                               & (`se_1_healthout_z')                                                          & (`se_1_mortrate_05')         \\
{res}{txt}
{com}.         tex \multirow{c -(}2{c )-}{c -(}*{c )-}{c -(}Subcounty official attendance{c )-}  & `est_2_commtg_z' & `est_2_h_ctzpressure_z' & `est_2_urate_z'           & `est_2_treatqual_z'                                                            & `est_2_patsat_z'                                                               & `est_2_healthout_z'                                                          & `est_2_mortrate_05'         \\
{res}{txt}
{com}.         tex  & (`se_2_commtg_z') & (`se_2_h_ctzpressure_z') & (`se_2_urate_z')           & (`se_2_treatqual_z')                                                            & (`se_2_patsat_z')                                                               & (`se_2_healthout_z')                                                          & (`se_2_mortrate_05')         \\
{res}{txt}
{com}.         tex \multirow{c -(}2{c )-}{c -(}*{c )-}{c -(}Constant{c )-}  & `est_3_commtg_z' & `est_3_h_ctzpressure_z' & `est_3_urate_z'           & `est_3_treatqual_z'                                                            & `est_3_patsat_z'                                                               & `est_3_healthout_z'                                                          & `est_3_mortrate_05'         \\
{res}{txt}
{com}.         tex  & (`se_3_commtg_z') & (`se_3_h_ctzpressure_z')& (`se_3_urate_z')           & (`se_3_treatqual_z')                                                            & (`se_3_patsat_z')                                                               & (`se_3_healthout_z')                                                          & (`se_3_mortrate_05')         \\
{res}{txt}
{com}.         tex \midrule
{res}{txt}
{com}.         tex \multirow{c -(}1{c )-}{c -(}*{c )-}{c -(}N{c )-} & `n_1_commtg_z' & `n_1_h_ctzpressure_z' & `n_1_urate_z'           & `n_1_treatqual_z'                                                            & `n_1_patsat_z'                                                             & `n_1_healthout_z'                                                          & `n_1_mortrate_05'         \\
{res}{txt}
{com}.         tex \multirow{c -(}1{c )-}{c -(}*{c )-}{c -(}R$^{c -(}2{c )-}${c )-}   & `r2_1_commtg_z'  & `r2_1_h_ctzpressure_z'  & `r2_1_urate_z'           & `r2_1_treatqual_z'                                                           & `r2_1_patsat_z'                                                               & `r2_1_healthout_z'                                                         & `r2_1_mortrate_05'         \\
{res}{txt}
{com}.         tex \multirow{c -(}2{c )-}{c -(}*{c )-}{c -(}Full treatment net effect{c )-}   & `est_4_commtg_z'  & `est_4_h_ctzpressure_z'  & `est_4_urate_z'           & `est_4_treatqual_z'                                                            & `est_4_patsat_z'                                                              & `est_4_healthout_z'                                                          & `est_4_mortrate_05'         \\
{res}{txt}
{com}.         tex & (`se_4_commtg_z') & (`se_4_h_ctzpressure_z') & (`se_4_urate_z')           & (`se_4_treatqual_z')                                                            & (`se_4_patsat_z')                                                              & (`se_4_healthout_z')                                                          & (`se_4_mortrate_05')         \\
{res}{txt}
{com}.         tex \bottomrule
{res}{txt}
{com}.         tex \end{c -(}tabular{c )-}
{res}{txt}
{com}.         tex \end{c -(}table{c )-}
{res}{txt}
{com}.         texdoc close
{txt}(texdoc output written to {browse `"/Users/fredericcochinard/Dropbox/ACT_Health_JOP_replication_file/3.Tables and Figures/Tables/TableI35.tex"':/Users/fredericcochinard/Dropbox/ACT_Health_JOP_replication_file/3.Tables and Figures/Tables/TableI35.tex})
{res}{txt}
{com}.         
.         ***************************************************************************************
.         * Table I36: Subcomponents of the treatment quality index and presence of an official *
.         ***************************************************************************************
.         
.         * At endline:
.         
.         eststo clear
{txt}
{com}.         
.         foreach x in `treatmentqual' {c -(}
{txt}  2{com}.                 areg  e_`x' `var' b_`x' b_`x'_d sc_attend `e_controls_tfull' ``var'_int_e_controls', robust cl(hc_id) a(district)
{txt}  3{com}.                 
.                 local n_1_`x' = `e(N)'
{txt}  4{com}.                 local r2_1_`x' = string(`e(r2)',"%9.3fc")
{txt}  5{com}.                 local est_1_`x' = string(_b[`var'],"%9.3fc")
{txt}  6{com}.                 local se_1_`x' = string(_se[`var'],"%9.3fc")
{txt}  7{com}.                 local p_1_`x' = (2 * ttail(e(df_r), abs(_b[`var']/_se[`var'])))
{txt}  8{com}.                 
.                 gen s_1_1s_`x' = (`p_1_`x''<=0.1 & `p_1_`x''>0.05)
{txt}  9{com}.                 gen s_1_2s_`x' = (`p_1_`x''<=0.05 & `p_1_`x''>0.01)
{txt} 10{com}.                 gen s_1_3s_`x' = (`p_1_`x''<=0.01 & `p_1_`x''>=0)
{txt} 11{com}.         
.                 if s_1_1s_`x' == 1 {c -(}
{txt} 12{com}.                                 local est_1_`x' = "`est_1_`x''*"
{txt} 13{com}.                                 {c )-}
{txt} 14{com}.                                 
.                 if s_1_2s_`x' == 1 {c -(}
{txt} 15{com}.                                 local est_1_`x' = "`est_1_`x''**"
{txt} 16{com}.                                 {c )-}
{txt} 17{com}.                                 
.                 if s_1_3s_`x' == 1 {c -(}
{txt} 18{com}.                                 local est_1_`x' = "`est_1_`x''***"
{txt} 19{com}.                                 {c )-}
{txt} 20{com}.                 
.                 local est_2_`x' = string(_b[sc_attend],"%9.3fc")
{txt} 21{com}.                 local se_2_`x' = string(_se[sc_attend],"%9.3fc")
{txt} 22{com}.                 local p_2_`x' = (2 * ttail(e(df_r), abs(_b[sc_attend]/_se[sc_attend])))
{txt} 23{com}.                 
.                 gen s_2_1s_`x' = (`p_2_`x''<=0.1 & `p_2_`x''>0.05)
{txt} 24{com}.                 gen s_2_2s_`x' = (`p_2_`x''<=0.05 & `p_2_`x''>0.01)
{txt} 25{com}.                 gen s_2_3s_`x' = (`p_2_`x''<=0.01 & `p_2_`x''>=0)
{txt} 26{com}.         
.                 if s_2_1s_`x' == 1 {c -(}
{txt} 27{com}.                                 local est_2_`x' = "`est_2_`x''*"
{txt} 28{com}.                                 {c )-}
{txt} 29{com}.                                 
.                 if s_2_2s_`x' == 1 {c -(}
{txt} 30{com}.                                 local est_2_`x' = "`est_2_`x''**"
{txt} 31{com}.                                 {c )-}
{txt} 32{com}.                                 
.                 if s_2_3s_`x' == 1 {c -(}
{txt} 33{com}.                                 local est_2_`x' = "`est_2_`x''***"
{txt} 34{com}.                                 {c )-}
{txt} 35{com}.                 
.                 local est_3_`x' = string(_b[_cons],"%9.3fc")
{txt} 36{com}.                 local se_3_`x' = string(_se[_cons],"%9.3fc")
{txt} 37{com}.                 local p_3_`x' = (2 * ttail(e(df_r), abs(_b[_cons]/_se[_cons])))
{txt} 38{com}.                 
.                 gen s_3_1s_`x' = (`p_3_`x''<=0.1 & `p_3_`x''>0.05)
{txt} 39{com}.                 gen s_3_2s_`x' = (`p_3_`x''<=0.05 & `p_3_`x''>0.01)
{txt} 40{com}.                 gen s_3_3s_`x' = (`p_3_`x''<=0.01 & `p_3_`x''>=0)
{txt} 41{com}.         
.                 if s_3_1s_`x' == 1 {c -(}
{txt} 42{com}.                                 local est_3_`x' = "`est_3_`x''*"
{txt} 43{com}.                                 {c )-}
{txt} 44{com}.                                 
.                 if s_3_2s_`x' == 1 {c -(}
{txt} 45{com}.                                 local est_3_`x' = "`est_3_`x''**"
{txt} 46{com}.                                 {c )-}
{txt} 47{com}.                                 
.                 if s_3_3s_`x' == 1 {c -(}
{txt} 48{com}.                                 local est_3_`x' = "`est_3_`x''***"
{txt} 49{com}.                                 {c )-}
{txt} 50{com}.         
.                 lincom treatfull + sc_attend
{txt} 51{com}.                 local est_4_`x' = string(`r(estimate)',"%9.3fc")
{txt} 52{com}.                 local se_4_`x' = string(`r(se)',"%9.3fc")
{txt} 53{com}.                 local se_4_`x' = "(`se_4_`x'')"
{txt} 54{com}.                 test treatfull + sc_attend = 0
{txt} 55{com}.                 local p_4_`x' = `r(p)'
{txt} 56{com}.                 
.                 gen s_4_1s_`x' = (`p_4_`x''<=0.1 & `p_4_`x''>0.05)
{txt} 57{com}.                 gen s_4_2s_`x' = (`p_4_`x''<=0.05 & `p_4_`x''>0.01)
{txt} 58{com}.                 gen s_4_3s_`x' = (`p_4_`x''<=0.01 & `p_4_`x''>=0)
{txt} 59{com}.         
.                 if s_4_1s_`x' == 1 {c -(}
{txt} 60{com}.                                 local est_4_`x' = "`est_4_`x''*"
{txt} 61{com}.                                 {c )-}
{txt} 62{com}.                                 
.                 if s_4_2s_`x' == 1 {c -(}
{txt} 63{com}.                                 local est_4_`x' = "`est_4_`x''**"
{txt} 64{com}.                                 {c )-}
{txt} 65{com}.                                 
.                 if s_4_3s_`x' == 1 {c -(}
{txt} 66{com}.                                 local est_4_`x' = "`est_4_`x''***"
{txt} 67{com}.                                 {c )-}
{txt} 68{com}.                 
.                 drop s_*
{txt} 69{com}.                 {c )-}
{txt}note: b_treatqual_z_d omitted because of collinearity
{res}
{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}     7,288
{txt}{col 49}F({res}  15{txt},{res}    186{txt}){col 67}= {res}      4.16
{txt}{col 49}Prob > F{col 67}= {res}    0.0000
{txt}{col 49}R-squared{col 67}= {res}    0.1041
{txt}{col 49}Adj R-squared{col 67}= {res}    0.1004
{txt}{col 49}Root MSE{col 67}= {res}    0.3511

{txt}{ralign 78:(Std. Err. adjusted for {res:187} clusters in hc_id)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}e_treatq~l_z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2} .0539211{col 26}{space 2} .0284128{col 37}{space 1}    1.90{col 46}{space 3}0.059{col 54}{space 4}-.0021316{col 67}{space 3} .1099739
{txt}b_treatq~l_z {c |}{col 14}{res}{space 2} .1035642{col 26}{space 2} .0201994{col 37}{space 1}    5.13{col 46}{space 3}0.000{col 54}{space 4} .0637149{col 67}{space 3} .1434135
{txt}b_trea~l_z_d {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 3}sc_attend {c |}{col 14}{res}{space 2} .0483956{col 26}{space 2} .0358102{col 37}{space 1}    1.35{col 46}{space 3}0.178{col 54}{space 4}-.0222507{col 67}{space 3}  .119042
{txt}{space 1}c_tfull_hc2 {c |}{col 14}{res}{space 2}-.0700967{col 26}{space 2} .0533422{col 37}{space 1}   -1.31{col 46}{space 3}0.190{col 54}{space 4}-.1753302{col 67}{space 3} .0351369
{txt}c_tfull_b_~l {c |}{col 14}{res}{space 2}-.0156434{col 26}{space 2} .0573006{col 37}{space 1}   -0.27{col 46}{space 3}0.785{col 54}{space 4}-.1286859{col 67}{space 3} .0973992
{txt}c_tfull_b_~s {c |}{col 14}{res}{space 2}  .076063{col 26}{space 2} .0575189{col 37}{space 1}    1.32{col 46}{space 3}0.188{col 54}{space 4}-.0374102{col 67}{space 3} .1895362
{txt}c_tfull_b_~d {c |}{col 14}{res}{space 2}  .006727{col 26}{space 2} .0234943{col 37}{space 1}    0.29{col 46}{space 3}0.775{col 54}{space 4}-.0396226{col 67}{space 3} .0530767
{txt}c_tfull_ed~r {c |}{col 14}{res}{space 2}-.0029531{col 26}{space 2} .0016074{col 37}{space 1}   -1.84{col 46}{space 3}0.068{col 54}{space 4}-.0061242{col 67}{space 3} .0002179
{txt}c_tfull_b_~x {c |}{col 14}{res}{space 2}-.0027544{col 26}{space 2} .0082598{col 37}{space 1}   -0.33{col 46}{space 3}0.739{col 54}{space 4}-.0190494{col 67}{space 3} .0135406
{txt}c_trea~l_hc2 {c |}{col 14}{res}{space 2}  .066614{col 26}{space 2} .0664509{col 37}{space 1}    1.00{col 46}{space 3}0.317{col 54}{space 4}-.0644804{col 67}{space 3} .1977084
{txt}c_treatful.. {c |}{col 14}{res}{space 2} .0734998{col 26}{space 2} .0666572{col 37}{space 1}    1.10{col 46}{space 3}0.272{col 54}{space 4}-.0580015{col 67}{space 3} .2050011
{txt}c_treatful.. {c |}{col 14}{res}{space 2}-.1069689{col 26}{space 2} .0710519{col 37}{space 1}   -1.51{col 46}{space 3}0.134{col 54}{space 4}-.2471401{col 67}{space 3} .0332024
{txt}c_treatful.. {c |}{col 14}{res}{space 2} .0468036{col 26}{space 2} .0325484{col 37}{space 1}    1.44{col 46}{space 3}0.152{col 54}{space 4}-.0174078{col 67}{space 3} .1110151
{txt}c_treatful.. {c |}{col 14}{res}{space 2} .0023333{col 26}{space 2} .0022047{col 37}{space 1}    1.06{col 46}{space 3}0.291{col 54}{space 4}-.0020162{col 67}{space 3} .0066827
{txt}c_treatful.. {c |}{col 14}{res}{space 2}-.0185045{col 26}{space 2}  .012719{col 37}{space 1}   -1.45{col 46}{space 3}0.147{col 54}{space 4}-.0435966{col 67}{space 3} .0065875
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} .0003235{col 26}{space 2} .0200692{col 37}{space 1}    0.02{col 46}{space 3}0.987{col 54}{space 4} -.039269{col 67}{space 3}  .039916
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull + sc_attend = 0{p_end}

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}e_treatq~l_z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}(1) {c |}{col 14}{res}{space 2} .1023168{col 26}{space 2} .0354384{col 37}{space 1}    2.89{col 46}{space 3}0.004{col 54}{space 4} .0324038{col 67}{space 3} .1722297
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull + sc_attend = 0{p_end}

{txt}       F(  1,   186) ={res}    8.34
{txt}{col 13}Prob > F ={res}    0.0043

{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}     7,288
{txt}{col 49}F({res}  16{txt},{res}    186{txt}){col 67}= {res}      3.06
{txt}{col 49}Prob > F{col 67}= {res}    0.0001
{txt}{col 49}R-squared{col 67}= {res}    0.0232
{txt}{col 49}Adj R-squared{col 67}= {res}    0.0190
{txt}{col 49}Root MSE{col 67}= {res}    0.9720

{txt}{ralign 78:(Std. Err. adjusted for {res:187} clusters in hc_id)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}e_use_equi~z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2} .0452254{col 26}{space 2} .0403419{col 37}{space 1}    1.12{col 46}{space 3}0.264{col 54}{space 4}-.0343611{col 67}{space 3} .1248118
{txt}b_use_equi~z {c |}{col 14}{res}{space 2} .0327359{col 26}{space 2} .0124682{col 37}{space 1}    2.63{col 46}{space 3}0.009{col 54}{space 4} .0081387{col 67}{space 3}  .057333
{txt}b_use_eq~z_d {c |}{col 14}{res}{space 2}-.1051335{col 26}{space 2} .0311738{col 37}{space 1}   -3.37{col 46}{space 3}0.001{col 54}{space 4}-.1666331{col 67}{space 3}-.0436339
{txt}{space 3}sc_attend {c |}{col 14}{res}{space 2} .0332874{col 26}{space 2}  .047006{col 37}{space 1}    0.71{col 46}{space 3}0.480{col 54}{space 4}-.0594461{col 67}{space 3} .1260208
{txt}{space 1}c_tfull_hc2 {c |}{col 14}{res}{space 2} .0536762{col 26}{space 2} .0663631{col 37}{space 1}    0.81{col 46}{space 3}0.420{col 54}{space 4} -.077245{col 67}{space 3} .1845975
{txt}c_tfull_b_~l {c |}{col 14}{res}{space 2} .1461874{col 26}{space 2}  .080009{col 37}{space 1}    1.83{col 46}{space 3}0.069{col 54}{space 4}-.0116543{col 67}{space 3} .3040291
{txt}c_tfull_b_~s {c |}{col 14}{res}{space 2} .0496264{col 26}{space 2}  .086409{col 37}{space 1}    0.57{col 46}{space 3}0.566{col 54}{space 4}-.1208414{col 67}{space 3} .2200941
{txt}c_tfull_b_~d {c |}{col 14}{res}{space 2}-.0785733{col 26}{space 2} .0652793{col 37}{space 1}   -1.20{col 46}{space 3}0.230{col 54}{space 4}-.2073563{col 67}{space 3} .0502098
{txt}c_tfull_ed~r {c |}{col 14}{res}{space 2} .0040546{col 26}{space 2} .0045403{col 37}{space 1}    0.89{col 46}{space 3}0.373{col 54}{space 4}-.0049024{col 67}{space 3} .0130116
{txt}c_tfull_b_~x {c |}{col 14}{res}{space 2}-.0328447{col 26}{space 2} .0195851{col 37}{space 1}   -1.68{col 46}{space 3}0.095{col 54}{space 4}-.0714821{col 67}{space 3} .0057928
{txt}c_trea~l_hc2 {c |}{col 14}{res}{space 2} .0360611{col 26}{space 2}  .082671{col 37}{space 1}    0.44{col 46}{space 3}0.663{col 54}{space 4}-.1270323{col 67}{space 3} .1991545
{txt}c_treatful.. {c |}{col 14}{res}{space 2}-.1422992{col 26}{space 2} .0950561{col 37}{space 1}   -1.50{col 46}{space 3}0.136{col 54}{space 4}-.3298259{col 67}{space 3} .0452275
{txt}c_treatful.. {c |}{col 14}{res}{space 2}-.0690961{col 26}{space 2}  .103023{col 37}{space 1}   -0.67{col 46}{space 3}0.503{col 54}{space 4}-.2723399{col 67}{space 3} .1341477
{txt}c_treatful.. {c |}{col 14}{res}{space 2} .1135836{col 26}{space 2} .0716681{col 37}{space 1}    1.58{col 46}{space 3}0.115{col 54}{space 4}-.0278033{col 67}{space 3} .2549705
{txt}c_treatful.. {c |}{col 14}{res}{space 2} .0019398{col 26}{space 2} .0063335{col 37}{space 1}    0.31{col 46}{space 3}0.760{col 54}{space 4}-.0105549{col 67}{space 3} .0144344
{txt}c_treatful.. {c |}{col 14}{res}{space 2} .0060371{col 26}{space 2} .0268872{col 37}{space 1}    0.22{col 46}{space 3}0.823{col 54}{space 4}-.0470059{col 67}{space 3} .0590801
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} .0307008{col 26}{space 2}  .028781{col 37}{space 1}    1.07{col 46}{space 3}0.287{col 54}{space 4}-.0260783{col 67}{space 3} .0874799
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull + sc_attend = 0{p_end}

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}e_use_equi~z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}(1) {c |}{col 14}{res}{space 2} .0785127{col 26}{space 2}   .04546{col 37}{space 1}    1.73{col 46}{space 3}0.086{col 54}{space 4}-.0111708{col 67}{space 3} .1681963
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull + sc_attend = 0{p_end}

{txt}       F(  1,   186) ={res}    2.98
{txt}{col 13}Prob > F ={res}    0.0858

{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}     7,288
{txt}{col 49}F({res}  16{txt},{res}    186{txt}){col 67}= {res}      8.69
{txt}{col 49}Prob > F{col 67}= {res}    0.0000
{txt}{col 49}R-squared{col 67}= {res}    0.0842
{txt}{col 49}Adj R-squared{col 67}= {res}    0.0803
{txt}{col 49}Root MSE{col 67}= {res}    0.9649

{txt}{ralign 78:(Std. Err. adjusted for {res:187} clusters in hc_id)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}e_tot_wait_z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2} .0048388{col 26}{space 2} .0518291{col 37}{space 1}    0.09{col 46}{space 3}0.926{col 54}{space 4}-.0974098{col 67}{space 3} .1070873
{txt}b_tot_wait_z {c |}{col 14}{res}{space 2} .0853327{col 26}{space 2}  .015195{col 37}{space 1}    5.62{col 46}{space 3}0.000{col 54}{space 4}  .055356{col 67}{space 3} .1153093
{txt}b_tot_wa~z_d {c |}{col 14}{res}{space 2} .0325704{col 26}{space 2}  .028596{col 37}{space 1}    1.14{col 46}{space 3}0.256{col 54}{space 4}-.0238437{col 67}{space 3} .0889846
{txt}{space 3}sc_attend {c |}{col 14}{res}{space 2}-.0074114{col 26}{space 2} .0848381{col 37}{space 1}   -0.09{col 46}{space 3}0.930{col 54}{space 4}-.1747799{col 67}{space 3} .1599571
{txt}{space 1}c_tfull_hc2 {c |}{col 14}{res}{space 2}-.3601651{col 26}{space 2} .0754837{col 37}{space 1}   -4.77{col 46}{space 3}0.000{col 54}{space 4}-.5090794{col 67}{space 3}-.2112509
{txt}c_tfull_b_~l {c |}{col 14}{res}{space 2}-.0460612{col 26}{space 2} .1037939{col 37}{space 1}   -0.44{col 46}{space 3}0.658{col 54}{space 4}-.2508258{col 67}{space 3} .1587034
{txt}c_tfull_b_~s {c |}{col 14}{res}{space 2} .0371576{col 26}{space 2} .1222611{col 37}{space 1}    0.30{col 46}{space 3}0.762{col 54}{space 4} -.204039{col 67}{space 3} .2783542
{txt}c_tfull_b_~d {c |}{col 14}{res}{space 2} .0174735{col 26}{space 2} .0621806{col 37}{space 1}    0.28{col 46}{space 3}0.779{col 54}{space 4}-.1051964{col 67}{space 3} .1401434
{txt}c_tfull_ed~r {c |}{col 14}{res}{space 2}-.0081555{col 26}{space 2} .0042993{col 37}{space 1}   -1.90{col 46}{space 3}0.059{col 54}{space 4}-.0166372{col 67}{space 3} .0003261
{txt}c_tfull_b_~x {c |}{col 14}{res}{space 2}-.0644659{col 26}{space 2} .0206611{col 37}{space 1}   -3.12{col 46}{space 3}0.002{col 54}{space 4}-.1052261{col 67}{space 3}-.0237058
{txt}c_trea~l_hc2 {c |}{col 14}{res}{space 2} .1720016{col 26}{space 2} .1084087{col 37}{space 1}    1.59{col 46}{space 3}0.114{col 54}{space 4}-.0418672{col 67}{space 3} .3858703
{txt}c_treatful.. {c |}{col 14}{res}{space 2} .2681436{col 26}{space 2} .1314821{col 37}{space 1}    2.04{col 46}{space 3}0.043{col 54}{space 4} .0087558{col 67}{space 3} .5275315
{txt}c_treatful.. {c |}{col 14}{res}{space 2}-.0809982{col 26}{space 2} .1489158{col 37}{space 1}   -0.54{col 46}{space 3}0.587{col 54}{space 4}-.3747793{col 67}{space 3} .2127828
{txt}c_treatful.. {c |}{col 14}{res}{space 2} .1671084{col 26}{space 2} .0815842{col 37}{space 1}    2.05{col 46}{space 3}0.042{col 54}{space 4}  .006159{col 67}{space 3} .3280578
{txt}c_treatful.. {c |}{col 14}{res}{space 2}-.0008034{col 26}{space 2} .0059981{col 37}{space 1}   -0.13{col 46}{space 3}0.894{col 54}{space 4}-.0126364{col 67}{space 3} .0110295
{txt}c_treatful.. {c |}{col 14}{res}{space 2}  .026517{col 26}{space 2} .0291687{col 37}{space 1}    0.91{col 46}{space 3}0.364{col 54}{space 4}-.0310271{col 67}{space 3} .0840611
{txt}{space 7}_cons {c |}{col 14}{res}{space 2}-.0295499{col 26}{space 2} .0334047{col 37}{space 1}   -0.88{col 46}{space 3}0.378{col 54}{space 4}-.0954508{col 67}{space 3} .0363509
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull + sc_attend = 0{p_end}

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}e_tot_wait_z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}(1) {c |}{col 14}{res}{space 2}-.0025727{col 26}{space 2} .0802699{col 37}{space 1}   -0.03{col 46}{space 3}0.974{col 54}{space 4}-.1609292{col 67}{space 3} .1557839
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull + sc_attend = 0{p_end}

{txt}       F(  1,   186) ={res}    0.00
{txt}{col 13}Prob > F ={res}    0.9745

{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}     7,288
{txt}{col 49}F({res}  16{txt},{res}    186{txt}){col 67}= {res}      0.59
{txt}{col 49}Prob > F{col 67}= {res}    0.8865
{txt}{col 49}R-squared{col 67}= {res}    0.0263
{txt}{col 49}Adj R-squared{col 67}= {res}    0.0222
{txt}{col 49}Root MSE{col 67}= {res}    0.9532

{txt}{ralign 78:(Std. Err. adjusted for {res:187} clusters in hc_id)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1} e_trained_z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2} .0081281{col 26}{space 2} .0385039{col 37}{space 1}    0.21{col 46}{space 3}0.833{col 54}{space 4}-.0678324{col 67}{space 3} .0840887
{txt}{space 1}b_trained_z {c |}{col 14}{res}{space 2} .1065216{col 26}{space 2}  .097024{col 37}{space 1}    1.10{col 46}{space 3}0.274{col 54}{space 4}-.0848874{col 67}{space 3} .2979307
{txt}b_traine~z_d {c |}{col 14}{res}{space 2}-.0054667{col 26}{space 2} .0252208{col 37}{space 1}   -0.22{col 46}{space 3}0.829{col 54}{space 4}-.0552222{col 67}{space 3} .0442888
{txt}{space 3}sc_attend {c |}{col 14}{res}{space 2} .0020023{col 26}{space 2} .0299988{col 37}{space 1}    0.07{col 46}{space 3}0.947{col 54}{space 4}-.0571794{col 67}{space 3}  .061184
{txt}{space 1}c_tfull_hc2 {c |}{col 14}{res}{space 2}-.0938718{col 26}{space 2} .0865936{col 37}{space 1}   -1.08{col 46}{space 3}0.280{col 54}{space 4}-.2647037{col 67}{space 3}   .07696
{txt}c_tfull_b_~l {c |}{col 14}{res}{space 2}-.0794843{col 26}{space 2} .0746698{col 37}{space 1}   -1.06{col 46}{space 3}0.288{col 54}{space 4}-.2267929{col 67}{space 3} .0678243
{txt}c_tfull_b_~s {c |}{col 14}{res}{space 2}-.0078004{col 26}{space 2} .0258405{col 37}{space 1}   -0.30{col 46}{space 3}0.763{col 54}{space 4}-.0587786{col 67}{space 3} .0431778
{txt}c_tfull_b_~d {c |}{col 14}{res}{space 2}-.0267937{col 26}{space 2} .0375068{col 37}{space 1}   -0.71{col 46}{space 3}0.476{col 54}{space 4} -.100787{col 67}{space 3} .0471997
{txt}c_tfull_ed~r {c |}{col 14}{res}{space 2}-.0062238{col 26}{space 2} .0035862{col 37}{space 1}   -1.74{col 46}{space 3}0.084{col 54}{space 4}-.0132986{col 67}{space 3} .0008511
{txt}c_tfull_b_~x {c |}{col 14}{res}{space 2} .0136841{col 26}{space 2} .0101588{col 37}{space 1}    1.35{col 46}{space 3}0.180{col 54}{space 4}-.0063572{col 67}{space 3} .0337253
{txt}c_trea~l_hc2 {c |}{col 14}{res}{space 2} .0531042{col 26}{space 2}  .106388{col 37}{space 1}    0.50{col 46}{space 3}0.618{col 54}{space 4}-.1567781{col 67}{space 3} .2629865
{txt}c_treatful.. {c |}{col 14}{res}{space 2} .0353089{col 26}{space 2} .0971065{col 37}{space 1}    0.36{col 46}{space 3}0.717{col 54}{space 4}-.1562628{col 67}{space 3} .2268805
{txt}c_treatful.. {c |}{col 14}{res}{space 2} .0001411{col 26}{space 2} .0257053{col 37}{space 1}    0.01{col 46}{space 3}0.996{col 54}{space 4}-.0505703{col 67}{space 3} .0508525
{txt}c_treatful.. {c |}{col 14}{res}{space 2} .0218288{col 26}{space 2} .0335507{col 37}{space 1}    0.65{col 46}{space 3}0.516{col 54}{space 4}-.0443601{col 67}{space 3} .0880176
{txt}c_treatful.. {c |}{col 14}{res}{space 2} .0079139{col 26}{space 2} .0049361{col 37}{space 1}    1.60{col 46}{space 3}0.111{col 54}{space 4}-.0018241{col 67}{space 3} .0176519
{txt}c_treatful.. {c |}{col 14}{res}{space 2}-.0229319{col 26}{space 2} .0168431{col 37}{space 1}   -1.36{col 46}{space 3}0.175{col 54}{space 4}  -.05616{col 67}{space 3} .0102963
{txt}{space 7}_cons {c |}{col 14}{res}{space 2}-.0000813{col 26}{space 2} .0257948{col 37}{space 1}   -0.00{col 46}{space 3}0.997{col 54}{space 4}-.0509692{col 67}{space 3} .0508066
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull + sc_attend = 0{p_end}

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1} e_trained_z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}(1) {c |}{col 14}{res}{space 2} .0101304{col 26}{space 2} .0354412{col 37}{space 1}    0.29{col 46}{space 3}0.775{col 54}{space 4} -.059788{col 67}{space 3} .0800488
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull + sc_attend = 0{p_end}

{txt}       F(  1,   186) ={res}    0.08
{txt}{col 13}Prob > F ={res}    0.7753

{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}     7,288
{txt}{col 49}F({res}  16{txt},{res}    186{txt}){col 67}= {res}      1.88
{txt}{col 49}Prob > F{col 67}= {res}    0.0246
{txt}{col 49}R-squared{col 67}= {res}    0.0390
{txt}{col 49}Adj R-squared{col 67}= {res}    0.0349
{txt}{col 49}Root MSE{col 67}= {res}    0.9123

{txt}{ralign 78:(Std. Err. adjusted for {res:187} clusters in hc_id)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}e_exam_pri~z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2} .0685739{col 26}{space 2} .0416809{col 37}{space 1}    1.65{col 46}{space 3}0.102{col 54}{space 4}-.0136541{col 67}{space 3} .1508019
{txt}b_exam_pri~z {c |}{col 14}{res}{space 2} .0394169{col 26}{space 2} .0128027{col 37}{space 1}    3.08{col 46}{space 3}0.002{col 54}{space 4} .0141596{col 67}{space 3} .0646741
{txt}b_exam_p~z_d {c |}{col 14}{res}{space 2} .0022798{col 26}{space 2} .0289474{col 37}{space 1}    0.08{col 46}{space 3}0.937{col 54}{space 4}-.0548277{col 67}{space 3} .0593874
{txt}{space 3}sc_attend {c |}{col 14}{res}{space 2} .0126353{col 26}{space 2} .0493193{col 37}{space 1}    0.26{col 46}{space 3}0.798{col 54}{space 4}-.0846617{col 67}{space 3} .1099324
{txt}{space 1}c_tfull_hc2 {c |}{col 14}{res}{space 2}-.1640147{col 26}{space 2} .0842107{col 37}{space 1}   -1.95{col 46}{space 3}0.053{col 54}{space 4}-.3301456{col 67}{space 3} .0021162
{txt}c_tfull_b_~l {c |}{col 14}{res}{space 2} .0329955{col 26}{space 2}  .111995{col 37}{space 1}    0.29{col 46}{space 3}0.769{col 54}{space 4}-.1879482{col 67}{space 3} .2539392
{txt}c_tfull_b_~s {c |}{col 14}{res}{space 2}-.1209395{col 26}{space 2} .1166314{col 37}{space 1}   -1.04{col 46}{space 3}0.301{col 54}{space 4}-.3510299{col 67}{space 3}  .109151
{txt}c_tfull_b_~d {c |}{col 14}{res}{space 2}-.0287942{col 26}{space 2} .0667165{col 37}{space 1}   -0.43{col 46}{space 3}0.667{col 54}{space 4}-.1604125{col 67}{space 3}  .102824
{txt}c_tfull_ed~r {c |}{col 14}{res}{space 2}-.0079813{col 26}{space 2} .0042241{col 37}{space 1}   -1.89{col 46}{space 3}0.060{col 54}{space 4}-.0163147{col 67}{space 3} .0003521
{txt}c_tfull_b_~x {c |}{col 14}{res}{space 2}-.0106833{col 26}{space 2} .0230012{col 37}{space 1}   -0.46{col 46}{space 3}0.643{col 54}{space 4}-.0560601{col 67}{space 3} .0346935
{txt}c_trea~l_hc2 {c |}{col 14}{res}{space 2} .0885416{col 26}{space 2} .0977269{col 37}{space 1}    0.91{col 46}{space 3}0.366{col 54}{space 4} -.104254{col 67}{space 3} .2813372
{txt}c_treatful.. {c |}{col 14}{res}{space 2}-.0833434{col 26}{space 2} .1212807{col 37}{space 1}   -0.69{col 46}{space 3}0.493{col 54}{space 4} -.322606{col 67}{space 3} .1559192
{txt}c_treatful.. {c |}{col 14}{res}{space 2}-.0316235{col 26}{space 2} .1116639{col 37}{space 1}   -0.28{col 46}{space 3}0.777{col 54}{space 4}-.2519139{col 67}{space 3}  .188667
{txt}c_treatful.. {c |}{col 14}{res}{space 2}   .03154{col 26}{space 2} .0761082{col 37}{space 1}    0.41{col 46}{space 3}0.679{col 54}{space 4}-.1186062{col 67}{space 3} .1816861
{txt}c_treatful.. {c |}{col 14}{res}{space 2} .0090639{col 26}{space 2}  .005712{col 37}{space 1}    1.59{col 46}{space 3}0.114{col 54}{space 4}-.0022048{col 67}{space 3} .0203325
{txt}c_treatful.. {c |}{col 14}{res}{space 2}-.0210138{col 26}{space 2} .0333142{col 37}{space 1}   -0.63{col 46}{space 3}0.529{col 54}{space 4}-.0867361{col 67}{space 3} .0447085
{txt}{space 7}_cons {c |}{col 14}{res}{space 2}-.0001299{col 26}{space 2} .0346217{col 37}{space 1}   -0.00{col 46}{space 3}0.997{col 54}{space 4}-.0684317{col 67}{space 3} .0681719
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull + sc_attend = 0{p_end}

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}e_exam_pri~z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}(1) {c |}{col 14}{res}{space 2} .0812092{col 26}{space 2} .0526027{col 37}{space 1}    1.54{col 46}{space 3}0.124{col 54}{space 4}-.0225654{col 67}{space 3} .1849839
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull + sc_attend = 0{p_end}

{txt}       F(  1,   186) ={res}    2.38
{txt}{col 13}Prob > F ={res}    0.1243

{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}     7,288
{txt}{col 49}F({res}  16{txt},{res}    186{txt}){col 67}= {res}      3.69
{txt}{col 49}Prob > F{col 67}= {res}    0.0000
{txt}{col 49}R-squared{col 67}= {res}    0.0298
{txt}{col 49}Adj R-squared{col 67}= {res}    0.0257
{txt}{col 49}Root MSE{col 67}= {res}    0.9720

{txt}{ralign 78:(Std. Err. adjusted for {res:187} clusters in hc_id)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}e_taketest_z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2} .0232487{col 26}{space 2} .0443645{col 37}{space 1}    0.52{col 46}{space 3}0.601{col 54}{space 4}-.0642736{col 67}{space 3} .1107709
{txt}b_taketest_z {c |}{col 14}{res}{space 2} .0767872{col 26}{space 2} .0149033{col 37}{space 1}    5.15{col 46}{space 3}0.000{col 54}{space 4} .0473859{col 67}{space 3} .1061884
{txt}b_takete~z_d {c |}{col 14}{res}{space 2}-.0325564{col 26}{space 2} .0280167{col 37}{space 1}   -1.16{col 46}{space 3}0.247{col 54}{space 4}-.0878278{col 67}{space 3}  .022715
{txt}{space 3}sc_attend {c |}{col 14}{res}{space 2} .0379737{col 26}{space 2} .0527412{col 37}{space 1}    0.72{col 46}{space 3}0.472{col 54}{space 4}-.0660742{col 67}{space 3} .1420216
{txt}{space 1}c_tfull_hc2 {c |}{col 14}{res}{space 2} .0523518{col 26}{space 2} .0793478{col 37}{space 1}    0.66{col 46}{space 3}0.510{col 54}{space 4}-.1041855{col 67}{space 3}  .208889
{txt}c_tfull_b_~l {c |}{col 14}{res}{space 2} .1068689{col 26}{space 2} .0931803{col 37}{space 1}    1.15{col 46}{space 3}0.253{col 54}{space 4}-.0769573{col 67}{space 3} .2906951
{txt}c_tfull_b_~s {c |}{col 14}{res}{space 2} .0466776{col 26}{space 2} .0948166{col 37}{space 1}    0.49{col 46}{space 3}0.623{col 54}{space 4}-.1403766{col 67}{space 3} .2337319
{txt}c_tfull_b_~d {c |}{col 14}{res}{space 2}-.0651896{col 26}{space 2} .0666259{col 37}{space 1}   -0.98{col 46}{space 3}0.329{col 54}{space 4}-.1966292{col 67}{space 3}   .06625
{txt}c_tfull_ed~r {c |}{col 14}{res}{space 2} .0008473{col 26}{space 2}  .004369{col 37}{space 1}    0.19{col 46}{space 3}0.846{col 54}{space 4}-.0077719{col 67}{space 3} .0094666
{txt}c_tfull_b_~x {c |}{col 14}{res}{space 2} -.041989{col 26}{space 2} .0217348{col 37}{space 1}   -1.93{col 46}{space 3}0.055{col 54}{space 4}-.0848675{col 67}{space 3} .0008895
{txt}c_trea~l_hc2 {c |}{col 14}{res}{space 2} .0076283{col 26}{space 2} .0920571{col 37}{space 1}    0.08{col 46}{space 3}0.934{col 54}{space 4}-.1739819{col 67}{space 3} .1892386
{txt}c_treatful.. {c |}{col 14}{res}{space 2}-.1186213{col 26}{space 2}    .1067{col 37}{space 1}   -1.11{col 46}{space 3}0.268{col 54}{space 4}-.3291192{col 67}{space 3} .0918765
{txt}c_treatful.. {c |}{col 14}{res}{space 2} .0259244{col 26}{space 2} .1174036{col 37}{space 1}    0.22{col 46}{space 3}0.825{col 54}{space 4}-.2056894{col 67}{space 3} .2575382
{txt}c_treatful.. {c |}{col 14}{res}{space 2} .1480063{col 26}{space 2} .0845623{col 37}{space 1}    1.75{col 46}{space 3}0.082{col 54}{space 4}-.0188181{col 67}{space 3} .3148308
{txt}c_treatful.. {c |}{col 14}{res}{space 2} .0038923{col 26}{space 2} .0063157{col 37}{space 1}    0.62{col 46}{space 3}0.538{col 54}{space 4}-.0085673{col 67}{space 3}  .016352
{txt}c_treatful.. {c |}{col 14}{res}{space 2} .0015273{col 26}{space 2} .0287031{col 37}{space 1}    0.05{col 46}{space 3}0.958{col 54}{space 4}-.0550981{col 67}{space 3} .0581527
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} .0105917{col 26}{space 2} .0315931{col 37}{space 1}    0.34{col 46}{space 3}0.738{col 54}{space 4}-.0517351{col 67}{space 3} .0729185
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull + sc_attend = 0{p_end}

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}e_taketest_z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}(1) {c |}{col 14}{res}{space 2} .0612224{col 26}{space 2} .0517605{col 37}{space 1}    1.18{col 46}{space 3}0.238{col 54}{space 4}-.0408907{col 67}{space 3} .1633355
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull + sc_attend = 0{p_end}

{txt}       F(  1,   186) ={res}    1.40
{txt}{col 13}Prob > F ={res}    0.2384

{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}     7,288
{txt}{col 49}F({res}  16{txt},{res}    186{txt}){col 67}= {res}      2.12
{txt}{col 49}Prob > F{col 67}= {res}    0.0090
{txt}{col 49}R-squared{col 67}= {res}    0.0197
{txt}{col 49}Adj R-squared{col 67}= {res}    0.0155
{txt}{col 49}Root MSE{col 67}= {res}    0.9776

{txt}{ralign 78:(Std. Err. adjusted for {res:187} clusters in hc_id)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}e_diagnosi~z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2} .0790392{col 26}{space 2} .0356959{col 37}{space 1}    2.21{col 46}{space 3}0.028{col 54}{space 4} .0086183{col 67}{space 3} .1494601
{txt}b_diagnosi~z {c |}{col 14}{res}{space 2} .0509636{col 26}{space 2} .0126462{col 37}{space 1}    4.03{col 46}{space 3}0.000{col 54}{space 4} .0260151{col 67}{space 3} .0759121
{txt}b_diagno~z_d {c |}{col 14}{res}{space 2}-.0077664{col 26}{space 2} .0327176{col 37}{space 1}   -0.24{col 46}{space 3}0.813{col 54}{space 4}-.0723116{col 67}{space 3} .0567789
{txt}{space 3}sc_attend {c |}{col 14}{res}{space 2} -.065845{col 26}{space 2} .0463841{col 37}{space 1}   -1.42{col 46}{space 3}0.157{col 54}{space 4}-.1573515{col 67}{space 3} .0256615
{txt}{space 1}c_tfull_hc2 {c |}{col 14}{res}{space 2} .0799649{col 26}{space 2} .0610592{col 37}{space 1}    1.31{col 46}{space 3}0.192{col 54}{space 4}-.0404926{col 67}{space 3} .2004225
{txt}c_tfull_b_~l {c |}{col 14}{res}{space 2} .1438946{col 26}{space 2}  .080731{col 37}{space 1}    1.78{col 46}{space 3}0.076{col 54}{space 4}-.0153715{col 67}{space 3} .3031607
{txt}c_tfull_b_~s {c |}{col 14}{res}{space 2} .0636608{col 26}{space 2} .0906187{col 37}{space 1}    0.70{col 46}{space 3}0.483{col 54}{space 4}-.1151117{col 67}{space 3} .2424333
{txt}c_tfull_b_~d {c |}{col 14}{res}{space 2} .0363798{col 26}{space 2} .0653935{col 37}{space 1}    0.56{col 46}{space 3}0.579{col 54}{space 4}-.0926285{col 67}{space 3} .1653882
{txt}c_tfull_ed~r {c |}{col 14}{res}{space 2} .0038809{col 26}{space 2} .0043848{col 37}{space 1}    0.89{col 46}{space 3}0.377{col 54}{space 4}-.0047694{col 67}{space 3} .0125313
{txt}c_tfull_b_~x {c |}{col 14}{res}{space 2} .0053581{col 26}{space 2} .0186255{col 37}{space 1}    0.29{col 46}{space 3}0.774{col 54}{space 4}-.0313863{col 67}{space 3} .0421025
{txt}c_trea~l_hc2 {c |}{col 14}{res}{space 2}-.0594404{col 26}{space 2} .0756705{col 37}{space 1}   -0.79{col 46}{space 3}0.433{col 54}{space 4}-.2087232{col 67}{space 3} .0898423
{txt}c_treatful.. {c |}{col 14}{res}{space 2}-.1397412{col 26}{space 2}  .088962{col 37}{space 1}   -1.57{col 46}{space 3}0.118{col 54}{space 4}-.3152455{col 67}{space 3} .0357631
{txt}c_treatful.. {c |}{col 14}{res}{space 2} .0333778{col 26}{space 2} .0979793{col 37}{space 1}    0.34{col 46}{space 3}0.734{col 54}{space 4}-.1599158{col 67}{space 3} .2266714
{txt}c_treatful.. {c |}{col 14}{res}{space 2}-.0234508{col 26}{space 2} .0853066{col 37}{space 1}   -0.27{col 46}{space 3}0.784{col 54}{space 4}-.1917437{col 67}{space 3} .1448421
{txt}c_treatful.. {c |}{col 14}{res}{space 2}-.0029762{col 26}{space 2} .0065714{col 37}{space 1}   -0.45{col 46}{space 3}0.651{col 54}{space 4}-.0159402{col 67}{space 3} .0099878
{txt}c_treatful.. {c |}{col 14}{res}{space 2}-.0246614{col 26}{space 2} .0255617{col 37}{space 1}   -0.96{col 46}{space 3}0.336{col 54}{space 4}-.0750895{col 67}{space 3} .0257668
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} .0050029{col 26}{space 2} .0251469{col 37}{space 1}    0.20{col 46}{space 3}0.843{col 54}{space 4}-.0446069{col 67}{space 3} .0546127
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull + sc_attend = 0{p_end}

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}e_diagnosi~z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}(1) {c |}{col 14}{res}{space 2} .0131942{col 26}{space 2} .0440498{col 37}{space 1}    0.30{col 46}{space 3}0.765{col 54}{space 4}-.0737072{col 67}{space 3} .1000957
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull + sc_attend = 0{p_end}

{txt}       F(  1,   186) ={res}    0.09
{txt}{col 13}Prob > F ={res}    0.7649
{txt}
{com}.                 
.                 
.         foreach x in `treatmentqual_hclevel' {c -(}
{txt}  2{com}.                 areg  e_`x' `var' b_`x' b_`x'_d sc_attend `e_controls_tfull_hc' ``var'_hc_int_e_controls' if uniquehc == 1, robust a(district)
{txt}  3{com}. 
.                 local n_1_`x' = `e(N)'
{txt}  4{com}.                 local r2_1_`x' = string(`e(r2)',"%9.3fc")
{txt}  5{com}.                 local est_1_`x' = string(_b[`var'],"%9.3fc")
{txt}  6{com}.                 local se_1_`x' = string(_se[`var'],"%9.3fc")
{txt}  7{com}.                 local p_1_`x' = (2 * ttail(e(df_r), abs(_b[`var']/_se[`var'])))
{txt}  8{com}.                 
.                 gen s_1_1s_`x' = (`p_1_`x''<=0.1 & `p_1_`x''>0.05)
{txt}  9{com}.                 gen s_1_2s_`x' = (`p_1_`x''<=0.05 & `p_1_`x''>0.01)
{txt} 10{com}.                 gen s_1_3s_`x' = (`p_1_`x''<=0.01 & `p_1_`x''>=0)
{txt} 11{com}.         
.                 if s_1_1s_`x' == 1 {c -(}
{txt} 12{com}.                                 local est_1_`x' = "`est_1_`x''*"
{txt} 13{com}.                                 {c )-}
{txt} 14{com}.                                 
.                 if s_1_2s_`x' == 1 {c -(}
{txt} 15{com}.                                 local est_1_`x' = "`est_1_`x''**"
{txt} 16{com}.                                 {c )-}
{txt} 17{com}.                                 
.                 if s_1_3s_`x' == 1 {c -(}
{txt} 18{com}.                                 local est_1_`x' = "`est_1_`x''***"
{txt} 19{com}.                                 {c )-}
{txt} 20{com}.                 
.                 local est_2_`x' = string(_b[sc_attend],"%9.3fc")
{txt} 21{com}.                 local se_2_`x' = string(_se[sc_attend],"%9.3fc")
{txt} 22{com}.                 local p_2_`x' = (2 * ttail(e(df_r), abs(_b[sc_attend]/_se[sc_attend])))
{txt} 23{com}.                 
.                 gen s_2_1s_`x' = (`p_2_`x''<=0.1 & `p_2_`x''>0.05)
{txt} 24{com}.                 gen s_2_2s_`x' = (`p_2_`x''<=0.05 & `p_2_`x''>0.01)
{txt} 25{com}.                 gen s_2_3s_`x' = (`p_2_`x''<=0.01 & `p_2_`x''>=0)
{txt} 26{com}.         
.                 if s_2_1s_`x' == 1 {c -(}
{txt} 27{com}.                                 local est_2_`x' = "`est_2_`x''*"
{txt} 28{com}.                                 {c )-}
{txt} 29{com}.                                 
.                 if s_2_2s_`x' == 1 {c -(}
{txt} 30{com}.                                 local est_2_`x' = "`est_2_`x''**"
{txt} 31{com}.                                 {c )-}
{txt} 32{com}.                                 
.                 if s_2_3s_`x' == 1 {c -(}
{txt} 33{com}.                                 local est_2_`x' = "`est_2_`x''***"
{txt} 34{com}.                                 {c )-}
{txt} 35{com}.                 
.                 local est_3_`x' = string(_b[_cons],"%9.3fc")
{txt} 36{com}.                 local se_3_`x' = string(_se[_cons],"%9.3fc")
{txt} 37{com}.                 local p_3_`x' = (2 * ttail(e(df_r), abs(_b[_cons]/_se[_cons])))
{txt} 38{com}.                 
.                 gen s_3_1s_`x' = (`p_3_`x''<=0.1 & `p_3_`x''>0.05)
{txt} 39{com}.                 gen s_3_2s_`x' = (`p_3_`x''<=0.05 & `p_3_`x''>0.01)
{txt} 40{com}.                 gen s_3_3s_`x' = (`p_3_`x''<=0.01 & `p_3_`x''>=0)
{txt} 41{com}.         
.                 if s_3_1s_`x' == 1 {c -(}
{txt} 42{com}.                                 local est_3_`x' = "`est_3_`x''*"
{txt} 43{com}.                                 {c )-}
{txt} 44{com}.                                 
.                 if s_3_2s_`x' == 1 {c -(}
{txt} 45{com}.                                 local est_3_`x' = "`est_3_`x''**"
{txt} 46{com}.                                 {c )-}
{txt} 47{com}.                                 
.                 if s_3_3s_`x' == 1 {c -(}
{txt} 48{com}.                                 local est_3_`x' = "`est_3_`x''***"
{txt} 49{com}.                                 {c )-}
{txt} 50{com}.         
.                 lincom treatfull + sc_attend
{txt} 51{com}.                 local est_4_`x' = string(`r(estimate)',"%9.3fc")
{txt} 52{com}.                 local se_4_`x' = string(`r(se)',"%9.3fc")
{txt} 53{com}.                 local se_4_`x' = "(`se_4_`x'')"
{txt} 54{com}.                 test treatfull + sc_attend = 0
{txt} 55{com}.                 local p_4_`x' = `r(p)'
{txt} 56{com}.                 
.                 gen s_4_1s_`x' = (`p_4_`x''<=0.1 & `p_4_`x''>0.05)
{txt} 57{com}.                 gen s_4_2s_`x' = (`p_4_`x''<=0.05 & `p_4_`x''>0.01)
{txt} 58{com}.                 gen s_4_3s_`x' = (`p_4_`x''<=0.01 & `p_4_`x''>=0)
{txt} 59{com}.         
.                 if s_4_1s_`x' == 1 {c -(}
{txt} 60{com}.                                 local est_4_`x' = "`est_4_`x''*"
{txt} 61{com}.                                 {c )-}
{txt} 62{com}.                                 
.                 if s_4_2s_`x' == 1 {c -(}
{txt} 63{com}.                                 local est_4_`x' = "`est_4_`x''**"
{txt} 64{com}.                                 {c )-}
{txt} 65{com}.                                 
.                 if s_4_3s_`x' == 1 {c -(}
{txt} 66{com}.                                 local est_4_`x' = "`est_4_`x''***"
{txt} 67{com}.                                 {c )-}
{txt} 68{com}.                 
.                 drop s_*
{txt} 69{com}.                 {c )-}
{res}
{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}       187
{txt}{col 49}F({res}  16{txt},{res}    155{txt}){col 67}= {res}      1.13
{txt}{col 49}Prob > F{col 67}= {res}    0.3308
{txt}{col 49}R-squared{col 67}= {res}    0.3099
{txt}{col 49}Adj R-squared{col 67}= {res}    0.1718
{txt}{col 49}Root MSE{col 67}= {res}    0.8808

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}e_h_percen~z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2}-.0455833{col 26}{space 2} .1450506{col 37}{space 1}   -0.31{col 46}{space 3}0.754{col 54}{space 4}-.3321143{col 67}{space 3} .2409477
{txt}b_h_percen~z {c |}{col 14}{res}{space 2} .0749544{col 26}{space 2} .0755141{col 37}{space 1}    0.99{col 46}{space 3}0.322{col 54}{space 4}-.0742152{col 67}{space 3}  .224124
{txt}b_h_perc~z_d {c |}{col 14}{res}{space 2}-.0533947{col 26}{space 2}  .249816{col 37}{space 1}   -0.21{col 46}{space 3}0.831{col 54}{space 4}-.5468781{col 67}{space 3} .4400886
{txt}{space 3}sc_attend {c |}{col 14}{res}{space 2} .3213668{col 26}{space 2} .1955211{col 37}{space 1}    1.64{col 46}{space 3}0.102{col 54}{space 4}-.0648631{col 67}{space 3} .7075967
{txt}c_tf~_hc_hc2 {c |}{col 14}{res}{space 2} .2411696{col 26}{space 2} .3102746{col 37}{space 1}    0.78{col 46}{space 3}0.438{col 54}{space 4}-.3717427{col 67}{space 3}  .854082
{txt}c_tfull_hc~l {c |}{col 14}{res}{space 2}-.1272579{col 26}{space 2} .3311493{col 37}{space 1}   -0.38{col 46}{space 3}0.701{col 54}{space 4} -.781406{col 67}{space 3} .5268901
{txt}c_tfull_hc~s {c |}{col 14}{res}{space 2}-.0308974{col 26}{space 2} .4138843{col 37}{space 1}   -0.07{col 46}{space 3}0.941{col 54}{space 4}-.8484791{col 67}{space 3} .7866843
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2} 1.430597{col 26}{space 2} .7632796{col 37}{space 1}    1.87{col 46}{space 3}0.063{col 54}{space 4}-.0771758{col 67}{space 3}  2.93837
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2}-.1063891{col 26}{space 2} .1385611{col 37}{space 1}   -0.77{col 46}{space 3}0.444{col 54}{space 4} -.380101{col 67}{space 3} .1673227
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2} .3565114{col 26}{space 2} .3898011{col 37}{space 1}    0.91{col 46}{space 3}0.362{col 54}{space 4}-.4134968{col 67}{space 3}  1.12652
{txt}c_treatful.. {c |}{col 14}{res}{space 2}-.0640539{col 26}{space 2} .3633171{col 37}{space 1}   -0.18{col 46}{space 3}0.860{col 54}{space 4} -.781746{col 67}{space 3} .6536381
{txt}c_treatful.. {c |}{col 14}{res}{space 2} .2551905{col 26}{space 2} .3897499{col 37}{space 1}    0.65{col 46}{space 3}0.514{col 54}{space 4}-.5147164{col 67}{space 3} 1.025097
{txt}c_treatful.. {c |}{col 14}{res}{space 2}-.5331877{col 26}{space 2}  .504678{col 37}{space 1}   -1.06{col 46}{space 3}0.292{col 54}{space 4}-1.530122{col 67}{space 3} .4637467
{txt}c_treatful.. {c |}{col 14}{res}{space 2}-.9434481{col 26}{space 2} 1.297106{col 37}{space 1}   -0.73{col 46}{space 3}0.468{col 54}{space 4}-3.505734{col 67}{space 3} 1.618838
{txt}c_treatful.. {c |}{col 14}{res}{space 2}-.0521606{col 26}{space 2} .1694359{col 37}{space 1}   -0.31{col 46}{space 3}0.759{col 54}{space 4}-.3868621{col 67}{space 3} .2825408
{txt}c_treatful.. {c |}{col 14}{res}{space 2}-.1539837{col 26}{space 2} .4754563{col 37}{space 1}   -0.32{col 46}{space 3}0.746{col 54}{space 4}-1.093194{col 67}{space 3} .7852266
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} .0054283{col 26}{space 2} .1067254{col 37}{space 1}    0.05{col 46}{space 3}0.960{col 54}{space 4}-.2053956{col 67}{space 3} .2162523
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull + sc_attend = 0{p_end}

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}e_h_percen~z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}(1) {c |}{col 14}{res}{space 2} .2757835{col 26}{space 2} .1904796{col 37}{space 1}    1.45{col 46}{space 3}0.150{col 54}{space 4}-.1004874{col 67}{space 3} .6520545
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull + sc_attend = 0{p_end}

{txt}       F(  1,   155) ={res}    2.10
{txt}{col 13}Prob > F ={res}    0.1497

{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}       187
{txt}{col 49}F({res}  16{txt},{res}    155{txt}){col 67}= {res}      1.30
{txt}{col 49}Prob > F{col 67}= {res}    0.2039
{txt}{col 49}R-squared{col 67}= {res}    0.1668
{txt}{col 49}Adj R-squared{col 67}= {res}    0.0002
{txt}{col 49}Root MSE{col 67}= {res}    0.9173

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}e_h_cleanl~z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2} .1385127{col 26}{space 2} .1656185{col 37}{space 1}    0.84{col 46}{space 3}0.404{col 54}{space 4}-.1886479{col 67}{space 3} .4656734
{txt}b_h_cleanl~z {c |}{col 14}{res}{space 2} .1377735{col 26}{space 2}  .069371{col 37}{space 1}    1.99{col 46}{space 3}0.049{col 54}{space 4} .0007389{col 67}{space 3} .2748081
{txt}b_h_clea~z_d {c |}{col 14}{res}{space 2} -.010944{col 26}{space 2} .2759709{col 37}{space 1}   -0.04{col 46}{space 3}0.968{col 54}{space 4}-.5560934{col 67}{space 3} .5342053
{txt}{space 3}sc_attend {c |}{col 14}{res}{space 2}-.0654907{col 26}{space 2} .1675391{col 37}{space 1}   -0.39{col 46}{space 3}0.696{col 54}{space 4}-.3964453{col 67}{space 3}  .265464
{txt}c_tf~_hc_hc2 {c |}{col 14}{res}{space 2}-.0130237{col 26}{space 2} .3053886{col 37}{space 1}   -0.04{col 46}{space 3}0.966{col 54}{space 4}-.6162843{col 67}{space 3}  .590237
{txt}c_tfull_hc~l {c |}{col 14}{res}{space 2}-.1680868{col 26}{space 2} .3074394{col 37}{space 1}   -0.55{col 46}{space 3}0.585{col 54}{space 4}-.7753986{col 67}{space 3}  .439225
{txt}c_tfull_hc~s {c |}{col 14}{res}{space 2} .5706845{col 26}{space 2}  .313454{col 37}{space 1}    1.82{col 46}{space 3}0.071{col 54}{space 4}-.0485086{col 67}{space 3} 1.189878
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2} .5270558{col 26}{space 2} .7366137{col 37}{space 1}    0.72{col 46}{space 3}0.475{col 54}{space 4}-.9280414{col 67}{space 3} 1.982153
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2} .0010994{col 26}{space 2} .1084727{col 37}{space 1}    0.01{col 46}{space 3}0.992{col 54}{space 4}-.2131763{col 67}{space 3} .2153751
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2} .3024573{col 26}{space 2} .2941782{col 37}{space 1}    1.03{col 46}{space 3}0.305{col 54}{space 4}-.2786585{col 67}{space 3} .8835731
{txt}c_treatful.. {c |}{col 14}{res}{space 2}-.2039578{col 26}{space 2} .3893368{col 37}{space 1}   -0.52{col 46}{space 3}0.601{col 54}{space 4}-.9730487{col 67}{space 3} .5651332
{txt}c_treatful.. {c |}{col 14}{res}{space 2} .3837039{col 26}{space 2} .3748094{col 37}{space 1}    1.02{col 46}{space 3}0.308{col 54}{space 4}-.3566898{col 67}{space 3} 1.124098
{txt}c_treatful.. {c |}{col 14}{res}{space 2}-.6328523{col 26}{space 2}  .371561{col 37}{space 1}   -1.70{col 46}{space 3}0.091{col 54}{space 4}-1.366829{col 67}{space 3} .1011244
{txt}c_treatful.. {c |}{col 14}{res}{space 2}-.3443904{col 26}{space 2} 1.294241{col 37}{space 1}   -0.27{col 46}{space 3}0.791{col 54}{space 4}-2.901017{col 67}{space 3} 2.212236
{txt}c_treatful.. {c |}{col 14}{res}{space 2}-.1449579{col 26}{space 2}  .156202{col 37}{space 1}   -0.93{col 46}{space 3}0.355{col 54}{space 4}-.4535174{col 67}{space 3} .1636016
{txt}c_treatful.. {c |}{col 14}{res}{space 2} .2207957{col 26}{space 2} .4276806{col 37}{space 1}    0.52{col 46}{space 3}0.606{col 54}{space 4} -.624039{col 67}{space 3}  1.06563
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} .0130516{col 26}{space 2} .1123321{col 37}{space 1}    0.12{col 46}{space 3}0.908{col 54}{space 4}-.2088479{col 67}{space 3} .2349511
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull + sc_attend = 0{p_end}

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}e_h_cleanl~z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}(1) {c |}{col 14}{res}{space 2} .0730221{col 26}{space 2}  .150055{col 37}{space 1}    0.49{col 46}{space 3}0.627{col 54}{space 4}-.2233946{col 67}{space 3} .3694387
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull + sc_attend = 0{p_end}

{txt}       F(  1,   155) ={res}    0.24
{txt}{col 13}Prob > F ={res}    0.6272

{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}       187
{txt}{col 49}F({res}  16{txt},{res}    155{txt}){col 67}= {res}      1.51
{txt}{col 49}Prob > F{col 67}= {res}    0.1011
{txt}{col 49}R-squared{col 67}= {res}    0.4252
{txt}{col 49}Adj R-squared{col 67}= {res}    0.3103
{txt}{col 49}Root MSE{col 67}= {res}    0.7460

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}e_h_meanst~z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2} .1683122{col 26}{space 2}  .121386{col 37}{space 1}    1.39{col 46}{space 3}0.168{col 54}{space 4}-.0714722{col 67}{space 3} .4080965
{txt}b_h_meanst~z {c |}{col 14}{res}{space 2} .0127827{col 26}{space 2} .0687766{col 37}{space 1}    0.19{col 46}{space 3}0.853{col 54}{space 4}-.1230776{col 67}{space 3} .1486431
{txt}b_h_mean~z_d {c |}{col 14}{res}{space 2} .0477908{col 26}{space 2} .1441589{col 37}{space 1}    0.33{col 46}{space 3}0.741{col 54}{space 4}-.2369789{col 67}{space 3} .3325605
{txt}{space 3}sc_attend {c |}{col 14}{res}{space 2} .1884632{col 26}{space 2} .1626057{col 37}{space 1}    1.16{col 46}{space 3}0.248{col 54}{space 4} -.132746{col 67}{space 3} .5096724
{txt}c_tf~_hc_hc2 {c |}{col 14}{res}{space 2}-.2999307{col 26}{space 2} .2183615{col 37}{space 1}   -1.37{col 46}{space 3}0.172{col 54}{space 4}-.7312792{col 67}{space 3} .1314179
{txt}c_tfull_hc~l {c |}{col 14}{res}{space 2} .1501482{col 26}{space 2} .2325569{col 37}{space 1}    0.65{col 46}{space 3}0.519{col 54}{space 4}-.3092416{col 67}{space 3}  .609538
{txt}c_tfull_hc~s {c |}{col 14}{res}{space 2}-.0160678{col 26}{space 2} .2171625{col 37}{space 1}   -0.07{col 46}{space 3}0.941{col 54}{space 4}-.4450477{col 67}{space 3} .4129122
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2}-1.182622{col 26}{space 2}  .846775{col 37}{space 1}   -1.40{col 46}{space 3}0.165{col 54}{space 4}-2.855331{col 67}{space 3} .4900861
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2} -.243742{col 26}{space 2} .0785479{col 37}{space 1}   -3.10{col 46}{space 3}0.002{col 54}{space 4}-.3989045{col 67}{space 3}-.0885794
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2} .6590899{col 26}{space 2} .2371458{col 37}{space 1}    2.78{col 46}{space 3}0.006{col 54}{space 4} .1906352{col 67}{space 3} 1.127545
{txt}c_treatful.. {c |}{col 14}{res}{space 2}   .23393{col 26}{space 2} .2894079{col 37}{space 1}    0.81{col 46}{space 3}0.420{col 54}{space 4}-.3377627{col 67}{space 3} .8056227
{txt}c_treatful.. {c |}{col 14}{res}{space 2}-.2314823{col 26}{space 2} .3009831{col 37}{space 1}   -0.77{col 46}{space 3}0.443{col 54}{space 4}-.8260404{col 67}{space 3} .3630758
{txt}c_treatful.. {c |}{col 14}{res}{space 2} .2368165{col 26}{space 2} .2773234{col 37}{space 1}    0.85{col 46}{space 3}0.394{col 54}{space 4}-.3110047{col 67}{space 3} .7846376
{txt}c_treatful.. {c |}{col 14}{res}{space 2}  1.98043{col 26}{space 2} 1.079383{col 37}{space 1}    1.83{col 46}{space 3}0.068{col 54}{space 4}-.1517704{col 67}{space 3}  4.11263
{txt}c_treatful.. {c |}{col 14}{res}{space 2} .2247369{col 26}{space 2} .1257757{col 37}{space 1}    1.79{col 46}{space 3}0.076{col 54}{space 4}-.0237189{col 67}{space 3} .4731926
{txt}c_treatful.. {c |}{col 14}{res}{space 2}-.7378211{col 26}{space 2} .2692047{col 37}{space 1}   -2.74{col 46}{space 3}0.007{col 54}{space 4}-1.269605{col 67}{space 3}-.2060376
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} .0116117{col 26}{space 2} .0928475{col 37}{space 1}    0.13{col 46}{space 3}0.901{col 54}{space 4} -.171798{col 67}{space 3} .1950215
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull + sc_attend = 0{p_end}

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}e_h_meanst~z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}(1) {c |}{col 14}{res}{space 2} .3567754{col 26}{space 2} .1591428{col 37}{space 1}    2.24{col 46}{space 3}0.026{col 54}{space 4} .0424067{col 67}{space 3}  .671144
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull + sc_attend = 0{p_end}

{txt}       F(  1,   155) ={res}    5.03
{txt}{col 13}Prob > F ={res}    0.0264
{txt}
{com}.         
.         * We create the tables concerning the results of the treatment quality index
.         
.         texdoc init "${c -(}tables{c )-}/TableI36.tex", replace force
{res}{txt}(texdoc output file is /Users/fredericcochinard/Dropbox/ACT_Health_JOP_replication_file/3.Tables and Figures/Tables/TableI36.tex)
{res}{txt}
{com}.         tex \begin{c -(}table{c )-}[htbp]\centering
{res}{txt}
{com}.         tex \footnotesize
{res}{txt}
{com}.         tex \def\sym#1{c -(}\ifmmode^{c -(}#1{c )-}\else\(^{c -(}#1{c )-}\)\fi{c )-}
{res}{txt}
{com}.         tex \caption{c -(}Treatment quality index: subcomponents{c )-}
{res}{txt}
{com}.         tex \begin{c -(}tabular{c )-}{c -(}lgggggggggg{c )-}
{res}{txt}
{com}.         tex \toprule
{res}{txt}
{com}.         tex                                                                                       & (1)                       & (2)                                                          & (3)                                                             & (4)           & (5) & (6) & (7) & (8) & (9) & (10)                                                                   \\
{res}{txt}
{com}.     tex \multirow{c -(}-2{c )-}{c -(}*{c )-}{c -(}{c )-}                               & \textbf{c -(}\begin{c -(}tabular{c )-}[c]{c -(}@{c -(}{c )-}c@{c -(}{c )-}{c )-}Treatment\\quality\\index\end{c -(}tabular{c )-}{c )-}      & \begin{c -(}tabular{c )-}[c]{c -(}@{c -(}{c )-}c@{c -(}{c )-}{c )-}Used\\equipment\end{c -(}tabular{c )-} & \begin{c -(}tabular{c )-}[c]{c -(}@{c -(}{c )-}c@{c -(}{c )-}{c )-}Waiting\\time\end{c -(}tabular{c )-} & \begin{c -(}tabular{c )-}[c]{c -(}@{c -(}{c )-}c@{c -(}{c )-}{c )-}Examined\\by trained\\staff\end{c -(}tabular{c )-} & \begin{c -(}tabular{c )-}[c]{c -(}@{c -(}{c )-}c@{c -(}{c )-}{c )-}Privacy\\during\\exam\end{c -(}tabular{c )-} & \begin{c -(}tabular{c )-}[c]{c -(}@{c -(}{c )-}c@{c -(}{c )-}{c )-}Received\\test when\\needed\end{c -(}tabular{c )-} & \begin{c -(}tabular{c )-}[c]{c -(}@{c -(}{c )-}c@{c -(}{c )-}{c )-}Diagnosis\\explained\\clearly\end{c -(}tabular{c )-} & \begin{c -(}tabular{c )-}[c]{c -(}@{c -(}{c )-}c@{c -(}{c )-}{c )-}\% staff\\presence\end{c -(}tabular{c )-} & \begin{c -(}tabular{c )-}[c]{c -(}@{c -(}{c )-}c@{c -(}{c )-}{c )-}Facility\\cleanliness\end{c -(}tabular{c )-} & \begin{c -(}tabular{c )-}[c]{c -(}@{c -(}{c )-}c@{c -(}{c )-}{c )-}Drug\\availability\end{c -(}tabular{c )-} \\
{res}{txt}
{com}.         tex \midrule
{res}{txt}
{com}.         tex \multirow{c -(}2{c )-}{c -(}*{c )-}{c -(}Full treatment{c )-}  & `est_1_treatqual_z'           & `est_1_use_equip_z'                                                            & `est_1_tot_wait_z'                                                               & `est_1_trained_z'      & `est_1_exam_privacy_z'     & `est_1_taketest_z'   & `est_1_diagnosis_explained_z'    & `est_1_h_percentstaff_sv_z'      &     `est_1_h_cleanliness_z'  & `est_1_h_meanstock_z'                           \\
{res}{txt}
{com}.         tex  & (`se_1_treatqual_z')           & (`se_1_use_equip_z')                                                            & (`se_1_tot_wait_z')                                                               & (`se_1_trained_z')                & (`se_1_exam_privacy_z')     & (`se_1_taketest_z')   & (`se_1_diagnosis_explained_z')    & (`se_1_h_percentstaff_sv_z')      &    (`se_1_h_cleanliness_z')  & (`se_1_h_meanstock_z')  \\
{res}{txt}
{com}.         tex \multirow{c -(}2{c )-}{c -(}*{c )-}{c -(}Subcounty official presence{c )-}  & `est_2_treatqual_z'           & `est_2_use_equip_z'                                                            & `est_2_tot_wait_z'                                                               & `est_2_trained_z'          & `est_2_exam_privacy_z'     & `est_2_taketest_z'   & `est_2_diagnosis_explained_z'    & `est_2_h_percentstaff_sv_z'      &     `est_2_h_cleanliness_z'  & `est_2_h_meanstock_z'                                                       \\
{res}{txt}
{com}.         tex  & (`se_2_treatqual_z')           & (`se_2_use_equip_z')                                                            & (`se_2_tot_wait_z')                                                               & (`se_2_trained_z')           & (`se_2_exam_privacy_z')     & (`se_2_taketest_z')   & (`se_2_diagnosis_explained_z')    & (`se_2_h_percentstaff_sv_z')      &     (`se_2_h_cleanliness_z')  & (`se_2_h_meanstock_z')                                                       \\
{res}{txt}
{com}.         tex \multirow{c -(}2{c )-}{c -(}*{c )-}{c -(}Constant{c )-}  & `est_3_treatqual_z'           & `est_3_use_equip_z'                                                            & `est_3_tot_wait_z'                                                               & `est_3_trained_z'       & `est_3_exam_privacy_z'     & `est_3_taketest_z'   & `est_3_diagnosis_explained_z'    & `est_3_h_percentstaff_sv_z'      &     `est_3_h_cleanliness_z'  & `est_3_h_meanstock_z'                                                           \\
{res}{txt}
{com}.         tex  & (`se_3_treatqual_z')           & (`se_3_use_equip_z')                                                            & (`se_3_tot_wait_z')                                                               & (`se_3_trained_z')                    & (`se_3_exam_privacy_z')     & (`se_3_taketest_z')   & (`se_3_diagnosis_explained_z')    & (`se_3_h_percentstaff_sv_z')      &     (`se_3_h_cleanliness_z')  & (`se_3_h_meanstock_z')                                              \\
{res}{txt}
{com}.         tex \midrule
{res}{txt}
{com}.         tex \multirow{c -(}1{c )-}{c -(}*{c )-}{c -(}N{c )-} & `n_1_treatqual_z'           & `n_1_use_equip_z'                                                            & `n_1_tot_wait_z'                                                             & `n_1_trained_z'         & `n_1_exam_privacy_z'     & `n_1_taketest_z'   & `n_1_diagnosis_explained_z'    & `n_1_h_percentstaff_sv_z'      &     `n_1_h_cleanliness_z'  & `n_1_h_meanstock_z'                                                         \\
{res}{txt}
{com}.         tex \multirow{c -(}1{c )-}{c -(}*{c )-}{c -(}R$^{c -(}2{c )-}${c )-}   & `r2_1_treatqual_z'           & `r2_1_use_equip_z'                                                           & `r2_1_tot_wait_z'                                                               & `r2_1_trained_z'                   & `r2_1_exam_privacy_z'     & `r2_1_taketest_z'   & `r2_1_diagnosis_explained_z'    & `r2_1_h_percentstaff_sv_z'      &     `r2_1_h_cleanliness_z'  & `r2_1_h_meanstock_z'                                             \\
{res}{txt}
{com}.         tex \multirow{c -(}2{c )-}{c -(}*{c )-}{c -(}Full treatment net effect{c )-}  & `est_4_treatqual_z'           & `est_4_use_equip_z'                                                            & `est_4_tot_wait_z'                                                               & `est_4_trained_z'            & `est_4_exam_privacy_z'     & `est_4_taketest_z'   & `est_4_diagnosis_explained_z'    & `est_4_h_percentstaff_sv_z'      &     `est_4_h_cleanliness_z'  & `est_4_h_meanstock_z'                                                     \\
{res}{txt}
{com}.         tex  & (`se_4_treatqual_z')           & (`se_4_use_equip_z')                                                            & (`se_4_tot_wait_z')                                                               & (`se_4_trained_z')                                                               & (`se_4_exam_privacy_z')     & (`se_4_taketest_z')   & (`se_4_diagnosis_explained_z')    & (`se_4_h_percentstaff_sv_z')      &     (`se_4_h_cleanliness_z')  & (`se_4_h_meanstock_z')  \\
{res}{txt}
{com}.         tex \bottomrule
{res}{txt}
{com}.         tex \end{c -(}tabular{c )-}
{res}{txt}
{com}.         tex \end{c -(}table{c )-}
{res}{txt}
{com}.         texdoc close
{txt}(texdoc output written to {browse `"/Users/fredericcochinard/Dropbox/ACT_Health_JOP_replication_file/3.Tables and Figures/Tables/TableI36.tex"':/Users/fredericcochinard/Dropbox/ACT_Health_JOP_replication_file/3.Tables and Figures/Tables/TableI36.tex})
{res}{txt}
{com}.         
.         ********************************************************************************
.         * Table I37: Subcomponents of patient satisfaction and presence of an official *
.         ********************************************************************************
. 
.         * At endline:
.         
.         eststo clear
{txt}
{com}.         
.         foreach x in `patsat' {c -(}
{txt}  2{com}.                 areg  e_`x' `var' b_`x' b_`x'_d sc_attend `e_controls_tfull' ``var'_int_e_controls', robust cl(hc_id) a(district)
{txt}  3{com}. 
.                 local n_1_`x' = `e(N)'
{txt}  4{com}.                 local r2_1_`x' = string(`e(r2)',"%9.3fc")
{txt}  5{com}.                 local est_1_`x' = string(_b[`var'],"%9.3fc")
{txt}  6{com}.                 local se_1_`x' = string(_se[`var'],"%9.3fc")
{txt}  7{com}.                 local p_1_`x' = (2 * ttail(e(df_r), abs(_b[`var']/_se[`var'])))
{txt}  8{com}.                 
.                 gen s_1_1s_`x' = (`p_1_`x''<=0.1 & `p_1_`x''>0.05)
{txt}  9{com}.                 gen s_1_2s_`x' = (`p_1_`x''<=0.05 & `p_1_`x''>0.01)
{txt} 10{com}.                 gen s_1_3s_`x' = (`p_1_`x''<=0.01 & `p_1_`x''>=0)
{txt} 11{com}.         
.                 if s_1_1s_`x' == 1 {c -(}
{txt} 12{com}.                                 local est_1_`x' = "`est_1_`x''*"
{txt} 13{com}.                                 {c )-}
{txt} 14{com}.                                 
.                 if s_1_2s_`x' == 1 {c -(}
{txt} 15{com}.                                 local est_1_`x' = "`est_1_`x''**"
{txt} 16{com}.                                 {c )-}
{txt} 17{com}.                                 
.                 if s_1_3s_`x' == 1 {c -(}
{txt} 18{com}.                                 local est_1_`x' = "`est_1_`x''***"
{txt} 19{com}.                                 {c )-}
{txt} 20{com}.                 
.                 local est_2_`x' = string(_b[sc_attend],"%9.3fc")
{txt} 21{com}.                 local se_2_`x' = string(_se[sc_attend],"%9.3fc")
{txt} 22{com}.                 local p_2_`x' = (2 * ttail(e(df_r), abs(_b[sc_attend]/_se[sc_attend])))
{txt} 23{com}.                 
.                 gen s_2_1s_`x' = (`p_2_`x''<=0.1 & `p_2_`x''>0.05)
{txt} 24{com}.                 gen s_2_2s_`x' = (`p_2_`x''<=0.05 & `p_2_`x''>0.01)
{txt} 25{com}.                 gen s_2_3s_`x' = (`p_2_`x''<=0.01 & `p_2_`x''>=0)
{txt} 26{com}.         
.                 if s_2_1s_`x' == 1 {c -(}
{txt} 27{com}.                                 local est_2_`x' = "`est_2_`x''*"
{txt} 28{com}.                                 {c )-}
{txt} 29{com}.                                 
.                 if s_2_2s_`x' == 1 {c -(}
{txt} 30{com}.                                 local est_2_`x' = "`est_2_`x''**"
{txt} 31{com}.                                 {c )-}
{txt} 32{com}.                                 
.                 if s_2_3s_`x' == 1 {c -(}
{txt} 33{com}.                                 local est_2_`x' = "`est_2_`x''***"
{txt} 34{com}.                                 {c )-}
{txt} 35{com}.                 
.                 local est_3_`x' = string(_b[_cons],"%9.3fc")
{txt} 36{com}.                 local se_3_`x' = string(_se[_cons],"%9.3fc")
{txt} 37{com}.                 local p_3_`x' = (2 * ttail(e(df_r), abs(_b[_cons]/_se[_cons])))
{txt} 38{com}.                 
.                 gen s_3_1s_`x' = (`p_3_`x''<=0.1 & `p_3_`x''>0.05)
{txt} 39{com}.                 gen s_3_2s_`x' = (`p_3_`x''<=0.05 & `p_3_`x''>0.01)
{txt} 40{com}.                 gen s_3_3s_`x' = (`p_3_`x''<=0.01 & `p_3_`x''>=0)
{txt} 41{com}.         
.                 if s_3_1s_`x' == 1 {c -(}
{txt} 42{com}.                                 local est_3_`x' = "`est_3_`x''*"
{txt} 43{com}.                                 {c )-}
{txt} 44{com}.                                 
.                 if s_3_2s_`x' == 1 {c -(}
{txt} 45{com}.                                 local est_3_`x' = "`est_3_`x''**"
{txt} 46{com}.                                 {c )-}
{txt} 47{com}.                                 
.                 if s_3_3s_`x' == 1 {c -(}
{txt} 48{com}.                                 local est_3_`x' = "`est_3_`x''***"
{txt} 49{com}.                                 {c )-}
{txt} 50{com}.         
.                 lincom treatfull + sc_attend
{txt} 51{com}.                 local est_4_`x' = string(`r(estimate)',"%9.3fc")
{txt} 52{com}.                 local se_4_`x' = string(`r(se)',"%9.3fc")
{txt} 53{com}.                 local se_4_`x' = "(`se_4_`x'')"
{txt} 54{com}.                 test treatfull + sc_attend = 0
{txt} 55{com}.                 local p_4_`x' = `r(p)'
{txt} 56{com}.                 
.                 gen s_4_1s_`x' = (`p_4_`x''<=0.1 & `p_4_`x''>0.05)
{txt} 57{com}.                 gen s_4_2s_`x' = (`p_4_`x''<=0.05 & `p_4_`x''>0.01)
{txt} 58{com}.                 gen s_4_3s_`x' = (`p_4_`x''<=0.01 & `p_4_`x''>=0)
{txt} 59{com}.         
.                 if s_4_1s_`x' == 1 {c -(}
{txt} 60{com}.                                 local est_4_`x' = "`est_4_`x''*"
{txt} 61{com}.                                 {c )-}
{txt} 62{com}.                                 
.                 if s_4_2s_`x' == 1 {c -(}
{txt} 63{com}.                                 local est_4_`x' = "`est_4_`x''**"
{txt} 64{com}.                                 {c )-}
{txt} 65{com}.                                 
.                 if s_4_3s_`x' == 1 {c -(}
{txt} 66{com}.                                 local est_4_`x' = "`est_4_`x''***"
{txt} 67{com}.                                 {c )-}
{txt} 68{com}.                 
.                 drop s_*
{txt} 69{com}.                 {c )-}
{txt}note: b_patsat_z_d omitted because of collinearity
{res}
{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}     7,288
{txt}{col 49}F({res}  15{txt},{res}    186{txt}){col 67}= {res}      8.46
{txt}{col 49}Prob > F{col 67}= {res}    0.0000
{txt}{col 49}R-squared{col 67}= {res}    0.0426
{txt}{col 49}Adj R-squared{col 67}= {res}    0.0386
{txt}{col 49}Root MSE{col 67}= {res}    0.5863

{txt}{ralign 78:(Std. Err. adjusted for {res:187} clusters in hc_id)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}  e_patsat_z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2} .0740749{col 26}{space 2} .0256884{col 37}{space 1}    2.88{col 46}{space 3}0.004{col 54}{space 4} .0233968{col 67}{space 3}  .124753
{txt}{space 2}b_patsat_z {c |}{col 14}{res}{space 2} .1381567{col 26}{space 2} .0151347{col 37}{space 1}    9.13{col 46}{space 3}0.000{col 54}{space 4}  .108299{col 67}{space 3} .1680145
{txt}b_patsat_z_d {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 3}sc_attend {c |}{col 14}{res}{space 2} .0079538{col 26}{space 2}    .0375{col 37}{space 1}    0.21{col 46}{space 3}0.832{col 54}{space 4}-.0660262{col 67}{space 3} .0819338
{txt}{space 1}c_tfull_hc2 {c |}{col 14}{res}{space 2} .0126184{col 26}{space 2}  .039986{col 37}{space 1}    0.32{col 46}{space 3}0.753{col 54}{space 4}-.0662659{col 67}{space 3} .0915028
{txt}c_tfull_b_~l {c |}{col 14}{res}{space 2} .1002711{col 26}{space 2} .0517045{col 37}{space 1}    1.94{col 46}{space 3}0.054{col 54}{space 4}-.0017316{col 67}{space 3} .2022737
{txt}c_tfull_b_~s {c |}{col 14}{res}{space 2} .0056279{col 26}{space 2} .0650107{col 37}{space 1}    0.09{col 46}{space 3}0.931{col 54}{space 4}-.1226253{col 67}{space 3} .1338811
{txt}c_tfull_b_~d {c |}{col 14}{res}{space 2} .0026635{col 26}{space 2} .0433134{col 37}{space 1}    0.06{col 46}{space 3}0.951{col 54}{space 4}-.0827852{col 67}{space 3} .0881123
{txt}c_tfull_ed~r {c |}{col 14}{res}{space 2} .0019017{col 26}{space 2} .0028318{col 37}{space 1}    0.67{col 46}{space 3}0.503{col 54}{space 4}-.0036849{col 67}{space 3} .0074884
{txt}c_tfull_b_~x {c |}{col 14}{res}{space 2} .0145489{col 26}{space 2} .0099793{col 37}{space 1}    1.46{col 46}{space 3}0.147{col 54}{space 4}-.0051383{col 67}{space 3} .0342361
{txt}c_trea~l_hc2 {c |}{col 14}{res}{space 2} -.118112{col 26}{space 2} .0547024{col 37}{space 1}   -2.16{col 46}{space 3}0.032{col 54}{space 4} -.226029{col 67}{space 3}-.0101951
{txt}c_treatful.. {c |}{col 14}{res}{space 2}-.1634761{col 26}{space 2} .0637595{col 37}{space 1}   -2.56{col 46}{space 3}0.011{col 54}{space 4}-.2892609{col 67}{space 3}-.0376914
{txt}c_treatful.. {c |}{col 14}{res}{space 2} .0113747{col 26}{space 2} .0751842{col 37}{space 1}    0.15{col 46}{space 3}0.880{col 54}{space 4}-.1369487{col 67}{space 3} .1596981
{txt}c_treatful.. {c |}{col 14}{res}{space 2}-.0226227{col 26}{space 2} .0513775{col 37}{space 1}   -0.44{col 46}{space 3}0.660{col 54}{space 4}-.1239804{col 67}{space 3} .0787349
{txt}c_treatful.. {c |}{col 14}{res}{space 2} .0026318{col 26}{space 2} .0037456{col 37}{space 1}    0.70{col 46}{space 3}0.483{col 54}{space 4}-.0047575{col 67}{space 3}  .010021
{txt}c_treatful.. {c |}{col 14}{res}{space 2}-.0265721{col 26}{space 2} .0143501{col 37}{space 1}   -1.85{col 46}{space 3}0.066{col 54}{space 4} -.054882{col 67}{space 3} .0017379
{txt}{space 7}_cons {c |}{col 14}{res}{space 2}-.0018354{col 26}{space 2} .0177061{col 37}{space 1}   -0.10{col 46}{space 3}0.918{col 54}{space 4} -.036766{col 67}{space 3} .0330952
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull + sc_attend = 0{p_end}

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}  e_patsat_z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}(1) {c |}{col 14}{res}{space 2} .0820288{col 26}{space 2} .0359442{col 37}{space 1}    2.28{col 46}{space 3}0.024{col 54}{space 4}  .011118{col 67}{space 3} .1529395
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull + sc_attend = 0{p_end}

{txt}       F(  1,   186) ={res}    5.21
{txt}{col 13}Prob > F ={res}    0.0236

{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}     7,288
{txt}{col 49}F({res}  16{txt},{res}    186{txt}){col 67}= {res}      8.83
{txt}{col 49}Prob > F{col 67}= {res}    0.0000
{txt}{col 49}R-squared{col 67}= {res}    0.0438
{txt}{col 49}Adj R-squared{col 67}= {res}    0.0397
{txt}{col 49}Root MSE{col 67}= {res}    0.9603

{txt}{ralign 78:(Std. Err. adjusted for {res:187} clusters in hc_id)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}e_qualityc~z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2} .0597464{col 26}{space 2} .0357172{col 37}{space 1}    1.67{col 46}{space 3}0.096{col 54}{space 4}-.0107165{col 67}{space 3} .1302094
{txt}b_qualityc~z {c |}{col 14}{res}{space 2} .1190617{col 26}{space 2} .0119149{col 37}{space 1}    9.99{col 46}{space 3}0.000{col 54}{space 4} .0955559{col 67}{space 3} .1425675
{txt}b_qual~e_z_d {c |}{col 14}{res}{space 2}-.1319294{col 26}{space 2} .0475692{col 37}{space 1}   -2.77{col 46}{space 3}0.006{col 54}{space 4} -.225774{col 67}{space 3}-.0380849
{txt}{space 3}sc_attend {c |}{col 14}{res}{space 2} .0051284{col 26}{space 2} .0521305{col 37}{space 1}    0.10{col 46}{space 3}0.922{col 54}{space 4}-.0977146{col 67}{space 3} .1079714
{txt}{space 1}c_tfull_hc2 {c |}{col 14}{res}{space 2} .0720145{col 26}{space 2}   .05092{col 37}{space 1}    1.41{col 46}{space 3}0.159{col 54}{space 4}-.0284405{col 67}{space 3} .1724695
{txt}c_tfull_b_~l {c |}{col 14}{res}{space 2} .1042254{col 26}{space 2} .0766452{col 37}{space 1}    1.36{col 46}{space 3}0.176{col 54}{space 4}-.0469804{col 67}{space 3} .2554311
{txt}c_tfull_b_~s {c |}{col 14}{res}{space 2}-.0215353{col 26}{space 2} .0936187{col 37}{space 1}   -0.23{col 46}{space 3}0.818{col 54}{space 4}-.2062263{col 67}{space 3} .1631558
{txt}c_tfull_b_~d {c |}{col 14}{res}{space 2}-.1317022{col 26}{space 2}  .072393{col 37}{space 1}   -1.82{col 46}{space 3}0.070{col 54}{space 4}-.2745191{col 67}{space 3} .0111146
{txt}c_tfull_ed~r {c |}{col 14}{res}{space 2} .0026257{col 26}{space 2} .0040621{col 37}{space 1}    0.65{col 46}{space 3}0.519{col 54}{space 4}-.0053879{col 67}{space 3} .0106393
{txt}c_tfull_b_~x {c |}{col 14}{res}{space 2} .0104443{col 26}{space 2} .0170882{col 37}{space 1}    0.61{col 46}{space 3}0.542{col 54}{space 4}-.0232673{col 67}{space 3} .0441558
{txt}c_trea~l_hc2 {c |}{col 14}{res}{space 2}-.0604322{col 26}{space 2} .0715008{col 37}{space 1}   -0.85{col 46}{space 3}0.399{col 54}{space 4}-.2014891{col 67}{space 3} .0806246
{txt}c_treatful.. {c |}{col 14}{res}{space 2}-.1503334{col 26}{space 2} .0941509{col 37}{space 1}   -1.60{col 46}{space 3}0.112{col 54}{space 4}-.3360743{col 67}{space 3} .0354075
{txt}c_treatful.. {c |}{col 14}{res}{space 2} .1091915{col 26}{space 2} .1132206{col 37}{space 1}    0.96{col 46}{space 3}0.336{col 54}{space 4}-.1141701{col 67}{space 3}  .332553
{txt}c_treatful.. {c |}{col 14}{res}{space 2} .0217036{col 26}{space 2} .0832272{col 37}{space 1}    0.26{col 46}{space 3}0.795{col 54}{space 4} -.142487{col 67}{space 3} .1858942
{txt}c_treatful.. {c |}{col 14}{res}{space 2} .0042244{col 26}{space 2} .0055438{col 37}{space 1}    0.76{col 46}{space 3}0.447{col 54}{space 4}-.0067125{col 67}{space 3} .0151613
{txt}c_treatful.. {c |}{col 14}{res}{space 2}-.0356395{col 26}{space 2} .0256548{col 37}{space 1}   -1.39{col 46}{space 3}0.166{col 54}{space 4}-.0862513{col 67}{space 3} .0149723
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} .0166041{col 26}{space 2} .0225683{col 37}{space 1}    0.74{col 46}{space 3}0.463{col 54}{space 4}-.0279188{col 67}{space 3} .0611269
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull + sc_attend = 0{p_end}

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}e_qualityc~z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}(1) {c |}{col 14}{res}{space 2} .0648748{col 26}{space 2} .0481032{col 37}{space 1}    1.35{col 46}{space 3}0.179{col 54}{space 4}-.0300231{col 67}{space 3} .1597728
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull + sc_attend = 0{p_end}

{txt}       F(  1,   186) ={res}    1.82
{txt}{col 13}Prob > F ={res}    0.1791

{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}     7,288
{txt}{col 49}F({res}  16{txt},{res}    186{txt}){col 67}= {res}      3.76
{txt}{col 49}Prob > F{col 67}= {res}    0.0000
{txt}{col 49}R-squared{col 67}= {res}    0.0240
{txt}{col 49}Adj R-squared{col 67}= {res}    0.0198
{txt}{col 49}Root MSE{col 67}= {res}    0.9346

{txt}{ralign 78:(Std. Err. adjusted for {res:187} clusters in hc_id)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}e_politest~z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2} .0748582{col 26}{space 2} .0388997{col 37}{space 1}    1.92{col 46}{space 3}0.056{col 54}{space 4}-.0018832{col 67}{space 3} .1515996
{txt}b_politest~z {c |}{col 14}{res}{space 2} .0806667{col 26}{space 2} .0162184{col 37}{space 1}    4.97{col 46}{space 3}0.000{col 54}{space 4} .0486711{col 67}{space 3} .1126623
{txt}b_polite~z_d {c |}{col 14}{res}{space 2}-.0504615{col 26}{space 2} .0308599{col 37}{space 1}   -1.64{col 46}{space 3}0.104{col 54}{space 4}-.1113419{col 67}{space 3} .0104188
{txt}{space 3}sc_attend {c |}{col 14}{res}{space 2}-.0019401{col 26}{space 2} .0522605{col 37}{space 1}   -0.04{col 46}{space 3}0.970{col 54}{space 4}-.1050396{col 67}{space 3} .1011594
{txt}{space 1}c_tfull_hc2 {c |}{col 14}{res}{space 2} .1341967{col 26}{space 2} .0568097{col 37}{space 1}    2.36{col 46}{space 3}0.019{col 54}{space 4} .0221226{col 67}{space 3} .2462708
{txt}c_tfull_b_~l {c |}{col 14}{res}{space 2} .1339401{col 26}{space 2} .0718918{col 37}{space 1}    1.86{col 46}{space 3}0.064{col 54}{space 4}-.0078881{col 67}{space 3} .2757684
{txt}c_tfull_b_~s {c |}{col 14}{res}{space 2}  .043927{col 26}{space 2} .0926477{col 37}{space 1}    0.47{col 46}{space 3}0.636{col 54}{space 4}-.1388484{col 67}{space 3} .2267024
{txt}c_tfull_b_~d {c |}{col 14}{res}{space 2}-.0111565{col 26}{space 2} .0634376{col 37}{space 1}   -0.18{col 46}{space 3}0.861{col 54}{space 4}-.1363063{col 67}{space 3} .1139933
{txt}c_tfull_ed~r {c |}{col 14}{res}{space 2}-.0005909{col 26}{space 2} .0042875{col 37}{space 1}   -0.14{col 46}{space 3}0.891{col 54}{space 4}-.0090494{col 67}{space 3} .0078675
{txt}c_tfull_b_~x {c |}{col 14}{res}{space 2} .0208194{col 26}{space 2}  .016113{col 37}{space 1}    1.29{col 46}{space 3}0.198{col 54}{space 4}-.0109684{col 67}{space 3} .0526072
{txt}c_trea~l_hc2 {c |}{col 14}{res}{space 2}-.2014626{col 26}{space 2} .0787686{col 37}{space 1}   -2.56{col 46}{space 3}0.011{col 54}{space 4}-.3568572{col 67}{space 3} -.046068
{txt}c_treatful.. {c |}{col 14}{res}{space 2}-.2214556{col 26}{space 2} .0864728{col 37}{space 1}   -2.56{col 46}{space 3}0.011{col 54}{space 4}-.3920492{col 67}{space 3} -.050862
{txt}c_treatful.. {c |}{col 14}{res}{space 2} .0903196{col 26}{space 2} .1057186{col 37}{space 1}    0.85{col 46}{space 3}0.394{col 54}{space 4} -.118242{col 67}{space 3} .2988813
{txt}c_treatful.. {c |}{col 14}{res}{space 2}-.0825942{col 26}{space 2} .0671712{col 37}{space 1}   -1.23{col 46}{space 3}0.220{col 54}{space 4}-.2151096{col 67}{space 3} .0499211
{txt}c_treatful.. {c |}{col 14}{res}{space 2} .0096747{col 26}{space 2} .0056796{col 37}{space 1}    1.70{col 46}{space 3}0.090{col 54}{space 4}-.0015301{col 67}{space 3} .0208795
{txt}c_treatful.. {c |}{col 14}{res}{space 2}-.0113605{col 26}{space 2} .0236103{col 37}{space 1}   -0.48{col 46}{space 3}0.631{col 54}{space 4}-.0579389{col 67}{space 3}  .035218
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} .0156295{col 26}{space 2} .0267117{col 37}{space 1}    0.59{col 46}{space 3}0.559{col 54}{space 4}-.0370673{col 67}{space 3} .0683263
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull + sc_attend = 0{p_end}

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}e_politest~z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}(1) {c |}{col 14}{res}{space 2} .0729181{col 26}{space 2} .0491808{col 37}{space 1}    1.48{col 46}{space 3}0.140{col 54}{space 4}-.0241057{col 67}{space 3} .1699419
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull + sc_attend = 0{p_end}

{txt}       F(  1,   186) ={res}    2.20
{txt}{col 13}Prob > F ={res}    0.1399

{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}     7,288
{txt}{col 49}F({res}  16{txt},{res}    186{txt}){col 67}= {res}      2.87
{txt}{col 49}Prob > F{col 67}= {res}    0.0003
{txt}{col 49}R-squared{col 67}= {res}    0.0179
{txt}{col 49}Adj R-squared{col 67}= {res}    0.0137
{txt}{col 49}Root MSE{col 67}= {res}    0.9126

{txt}{ralign 78:(Std. Err. adjusted for {res:187} clusters in hc_id)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}e_interest~z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2} .1109204{col 26}{space 2}  .029787{col 37}{space 1}    3.72{col 46}{space 3}0.000{col 54}{space 4} .0521565{col 67}{space 3} .1696843
{txt}b_interest~z {c |}{col 14}{res}{space 2} .0572156{col 26}{space 2} .0153406{col 37}{space 1}    3.73{col 46}{space 3}0.000{col 54}{space 4} .0269517{col 67}{space 3} .0874795
{txt}b_intere~z_d {c |}{col 14}{res}{space 2}-.0631155{col 26}{space 2} .0314078{col 37}{space 1}   -2.01{col 46}{space 3}0.046{col 54}{space 4}-.1250769{col 67}{space 3}-.0011542
{txt}{space 3}sc_attend {c |}{col 14}{res}{space 2} -.031109{col 26}{space 2} .0497951{col 37}{space 1}   -0.62{col 46}{space 3}0.533{col 54}{space 4}-.1293448{col 67}{space 3} .0671267
{txt}{space 1}c_tfull_hc2 {c |}{col 14}{res}{space 2} .0412206{col 26}{space 2} .0512669{col 37}{space 1}    0.80{col 46}{space 3}0.422{col 54}{space 4}-.0599186{col 67}{space 3} .1423599
{txt}c_tfull_b_~l {c |}{col 14}{res}{space 2} .0788502{col 26}{space 2} .0733646{col 37}{space 1}    1.07{col 46}{space 3}0.284{col 54}{space 4}-.0658835{col 67}{space 3} .2235839
{txt}c_tfull_b_~s {c |}{col 14}{res}{space 2} .0959546{col 26}{space 2} .0879056{col 37}{space 1}    1.09{col 46}{space 3}0.276{col 54}{space 4}-.0774655{col 67}{space 3} .2693746
{txt}c_tfull_b_~d {c |}{col 14}{res}{space 2}-.0307125{col 26}{space 2} .0660232{col 37}{space 1}   -0.47{col 46}{space 3}0.642{col 54}{space 4}-.1609631{col 67}{space 3} .0995381
{txt}c_tfull_ed~r {c |}{col 14}{res}{space 2} .0036192{col 26}{space 2} .0043434{col 37}{space 1}    0.83{col 46}{space 3}0.406{col 54}{space 4}-.0049494{col 67}{space 3} .0121877
{txt}c_tfull_b_~x {c |}{col 14}{res}{space 2} .0176724{col 26}{space 2} .0167501{col 37}{space 1}    1.06{col 46}{space 3}0.293{col 54}{space 4}-.0153722{col 67}{space 3} .0507169
{txt}c_trea~l_hc2 {c |}{col 14}{res}{space 2}-.0804728{col 26}{space 2} .0696521{col 37}{space 1}   -1.16{col 46}{space 3}0.249{col 54}{space 4}-.2178824{col 67}{space 3} .0569369
{txt}c_treatful.. {c |}{col 14}{res}{space 2}-.1828739{col 26}{space 2} .0855319{col 37}{space 1}   -2.14{col 46}{space 3}0.034{col 54}{space 4}-.3516113{col 67}{space 3}-.0141365
{txt}c_treatful.. {c |}{col 14}{res}{space 2}-.0198535{col 26}{space 2} .1070099{col 37}{space 1}   -0.19{col 46}{space 3}0.853{col 54}{space 4}-.2309627{col 67}{space 3} .1912557
{txt}c_treatful.. {c |}{col 14}{res}{space 2}-.0392347{col 26}{space 2} .0745981{col 37}{space 1}   -0.53{col 46}{space 3}0.600{col 54}{space 4}-.1864019{col 67}{space 3} .1079324
{txt}c_treatful.. {c |}{col 14}{res}{space 2} .0014271{col 26}{space 2}  .005766{col 37}{space 1}    0.25{col 46}{space 3}0.805{col 54}{space 4} -.009948{col 67}{space 3} .0128021
{txt}c_treatful.. {c |}{col 14}{res}{space 2} -.018809{col 26}{space 2} .0217302{col 37}{space 1}   -0.87{col 46}{space 3}0.388{col 54}{space 4}-.0616783{col 67}{space 3} .0240603
{txt}{space 7}_cons {c |}{col 14}{res}{space 2}   .01998{col 26}{space 2}   .02415{col 37}{space 1}    0.83{col 46}{space 3}0.409{col 54}{space 4}-.0276631{col 67}{space 3} .0676231
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull + sc_attend = 0{p_end}

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}e_interest~z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}(1) {c |}{col 14}{res}{space 2} .0798114{col 26}{space 2} .0507714{col 37}{space 1}    1.57{col 46}{space 3}0.118{col 54}{space 4}-.0203504{col 67}{space 3} .1799732
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull + sc_attend = 0{p_end}

{txt}       F(  1,   186) ={res}    2.47
{txt}{col 13}Prob > F ={res}    0.1177

{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}     7,288
{txt}{col 49}F({res}  16{txt},{res}    186{txt}){col 67}= {res}      3.65
{txt}{col 49}Prob > F{col 67}= {res}    0.0000
{txt}{col 49}R-squared{col 67}= {res}    0.0225
{txt}{col 49}Adj R-squared{col 67}= {res}    0.0184
{txt}{col 49}Root MSE{col 67}= {res}    0.9324

{txt}{ralign 78:(Std. Err. adjusted for {res:187} clusters in hc_id)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}e_stafflis~z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2} .0766501{col 26}{space 2}  .035199{col 37}{space 1}    2.18{col 46}{space 3}0.031{col 54}{space 4} .0072095{col 67}{space 3} .1460907
{txt}b_stafflis~z {c |}{col 14}{res}{space 2} .0805764{col 26}{space 2} .0159014{col 37}{space 1}    5.07{col 46}{space 3}0.000{col 54}{space 4} .0492061{col 67}{space 3} .1119466
{txt}b_staffl~z_d {c |}{col 14}{res}{space 2}-.0364384{col 26}{space 2} .0300191{col 37}{space 1}   -1.21{col 46}{space 3}0.226{col 54}{space 4}-.0956601{col 67}{space 3} .0227833
{txt}{space 3}sc_attend {c |}{col 14}{res}{space 2} -.016766{col 26}{space 2} .0450488{col 37}{space 1}   -0.37{col 46}{space 3}0.710{col 54}{space 4}-.1056382{col 67}{space 3} .0721062
{txt}{space 1}c_tfull_hc2 {c |}{col 14}{res}{space 2} .1174245{col 26}{space 2} .0561945{col 37}{space 1}    2.09{col 46}{space 3}0.038{col 54}{space 4} .0065641{col 67}{space 3}  .228285
{txt}c_tfull_b_~l {c |}{col 14}{res}{space 2} .0856323{col 26}{space 2}  .067747{col 37}{space 1}    1.26{col 46}{space 3}0.208{col 54}{space 4} -.048019{col 67}{space 3} .2192836
{txt}c_tfull_b_~s {c |}{col 14}{res}{space 2} .0424188{col 26}{space 2} .0718691{col 37}{space 1}    0.59{col 46}{space 3}0.556{col 54}{space 4}-.0993647{col 67}{space 3} .1842022
{txt}c_tfull_b_~d {c |}{col 14}{res}{space 2}-.0135628{col 26}{space 2} .0667466{col 37}{space 1}   -0.20{col 46}{space 3}0.839{col 54}{space 4}-.1452405{col 67}{space 3} .1181149
{txt}c_tfull_ed~r {c |}{col 14}{res}{space 2} .0012245{col 26}{space 2} .0044608{col 37}{space 1}    0.27{col 46}{space 3}0.784{col 54}{space 4}-.0075757{col 67}{space 3} .0100248
{txt}c_tfull_b_~x {c |}{col 14}{res}{space 2} .0251646{col 26}{space 2} .0144623{col 37}{space 1}    1.74{col 46}{space 3}0.084{col 54}{space 4}-.0033666{col 67}{space 3} .0536957
{txt}c_trea~l_hc2 {c |}{col 14}{res}{space 2}-.1929776{col 26}{space 2} .0799944{col 37}{space 1}   -2.41{col 46}{space 3}0.017{col 54}{space 4}-.3507906{col 67}{space 3}-.0351646
{txt}c_treatful.. {c |}{col 14}{res}{space 2} -.192687{col 26}{space 2} .0849574{col 37}{space 1}   -2.27{col 46}{space 3}0.024{col 54}{space 4} -.360291{col 67}{space 3}-.0250829
{txt}c_treatful.. {c |}{col 14}{res}{space 2}-.0823115{col 26}{space 2} .0815772{col 37}{space 1}   -1.01{col 46}{space 3}0.314{col 54}{space 4} -.243247{col 67}{space 3}  .078624
{txt}c_treatful.. {c |}{col 14}{res}{space 2}-.0862404{col 26}{space 2} .0720414{col 37}{space 1}   -1.20{col 46}{space 3}0.233{col 54}{space 4}-.2283637{col 67}{space 3} .0558828
{txt}c_treatful.. {c |}{col 14}{res}{space 2} .0063495{col 26}{space 2} .0057897{col 37}{space 1}    1.10{col 46}{space 3}0.274{col 54}{space 4}-.0050725{col 67}{space 3} .0177715
{txt}c_treatful.. {c |}{col 14}{res}{space 2}-.0463856{col 26}{space 2}  .021075{col 37}{space 1}   -2.20{col 46}{space 3}0.029{col 54}{space 4}-.0879623{col 67}{space 3}-.0048089
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} .0130691{col 26}{space 2} .0253388{col 37}{space 1}    0.52{col 46}{space 3}0.607{col 54}{space 4}-.0369194{col 67}{space 3} .0630575
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull + sc_attend = 0{p_end}

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}e_stafflis~z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}(1) {c |}{col 14}{res}{space 2} .0598841{col 26}{space 2} .0421572{col 37}{space 1}    1.42{col 46}{space 3}0.157{col 54}{space 4}-.0232836{col 67}{space 3} .1430518
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull + sc_attend = 0{p_end}

{txt}       F(  1,   186) ={res}    2.02
{txt}{col 13}Prob > F ={res}    0.1571

{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}     7,288
{txt}{col 49}F({res}  16{txt},{res}    186{txt}){col 67}= {res}      2.99
{txt}{col 49}Prob > F{col 67}= {res}    0.0002
{txt}{col 49}R-squared{col 67}= {res}    0.0190
{txt}{col 49}Adj R-squared{col 67}= {res}    0.0148
{txt}{col 49}Root MSE{col 67}= {res}    0.9710

{txt}{ralign 78:(Std. Err. adjusted for {res:187} clusters in hc_id)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}e_freeexpr~z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2}  .042656{col 26}{space 2} .0431961{col 37}{space 1}    0.99{col 46}{space 3}0.325{col 54}{space 4}-.0425612{col 67}{space 3} .1278732
{txt}b_freeexpr~z {c |}{col 14}{res}{space 2} .0603083{col 26}{space 2} .0158607{col 37}{space 1}    3.80{col 46}{space 3}0.000{col 54}{space 4} .0290182{col 67}{space 3} .0915983
{txt}b_freeex~z_d {c |}{col 14}{res}{space 2}-.0704958{col 26}{space 2}  .030706{col 37}{space 1}   -2.30{col 46}{space 3}0.023{col 54}{space 4}-.1310726{col 67}{space 3}-.0099189
{txt}{space 3}sc_attend {c |}{col 14}{res}{space 2}-.0078059{col 26}{space 2} .0598018{col 37}{space 1}   -0.13{col 46}{space 3}0.896{col 54}{space 4}-.1257829{col 67}{space 3} .1101712
{txt}{space 1}c_tfull_hc2 {c |}{col 14}{res}{space 2} .0591829{col 26}{space 2} .0554859{col 37}{space 1}    1.07{col 46}{space 3}0.288{col 54}{space 4}-.0502797{col 67}{space 3} .1686455
{txt}c_tfull_b_~l {c |}{col 14}{res}{space 2} .1295554{col 26}{space 2} .0825364{col 37}{space 1}    1.57{col 46}{space 3}0.118{col 54}{space 4}-.0332724{col 67}{space 3} .2923832
{txt}c_tfull_b_~s {c |}{col 14}{res}{space 2}  .092222{col 26}{space 2} .1107136{col 37}{space 1}    0.83{col 46}{space 3}0.406{col 54}{space 4}-.1261938{col 67}{space 3} .3106378
{txt}c_tfull_b_~d {c |}{col 14}{res}{space 2} -.092619{col 26}{space 2} .0706046{col 37}{space 1}   -1.31{col 46}{space 3}0.191{col 54}{space 4}-.2319078{col 67}{space 3} .0466698
{txt}c_tfull_ed~r {c |}{col 14}{res}{space 2} .0007943{col 26}{space 2} .0040845{col 37}{space 1}    0.19{col 46}{space 3}0.846{col 54}{space 4}-.0072637{col 67}{space 3} .0088523
{txt}c_tfull_b_~x {c |}{col 14}{res}{space 2} .0187216{col 26}{space 2}  .017244{col 37}{space 1}    1.09{col 46}{space 3}0.279{col 54}{space 4}-.0152973{col 67}{space 3} .0527405
{txt}c_trea~l_hc2 {c |}{col 14}{res}{space 2}-.1855187{col 26}{space 2} .0842662{col 37}{space 1}   -2.20{col 46}{space 3}0.029{col 54}{space 4}-.3517589{col 67}{space 3}-.0192784
{txt}c_treatful.. {c |}{col 14}{res}{space 2}-.2725424{col 26}{space 2} .1058273{col 37}{space 1}   -2.58{col 46}{space 3}0.011{col 54}{space 4}-.4813185{col 67}{space 3}-.0637663
{txt}c_treatful.. {c |}{col 14}{res}{space 2} -.127328{col 26}{space 2} .1382371{col 37}{space 1}   -0.92{col 46}{space 3}0.358{col 54}{space 4}-.4000422{col 67}{space 3} .1453861
{txt}c_treatful.. {c |}{col 14}{res}{space 2} .0224926{col 26}{space 2} .0809853{col 37}{space 1}    0.28{col 46}{space 3}0.782{col 54}{space 4}-.1372752{col 67}{space 3} .1822604
{txt}c_treatful.. {c |}{col 14}{res}{space 2} .0106419{col 26}{space 2} .0055659{col 37}{space 1}    1.91{col 46}{space 3}0.057{col 54}{space 4}-.0003386{col 67}{space 3} .0216224
{txt}c_treatful.. {c |}{col 14}{res}{space 2}-.0446164{col 26}{space 2} .0257288{col 37}{space 1}   -1.73{col 46}{space 3}0.085{col 54}{space 4}-.0953743{col 67}{space 3} .0061415
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} .0201193{col 26}{space 2} .0290067{col 37}{space 1}    0.69{col 46}{space 3}0.489{col 54}{space 4}-.0371052{col 67}{space 3} .0773438
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull + sc_attend = 0{p_end}

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}e_freeexpr~z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}(1) {c |}{col 14}{res}{space 2} .0348501{col 26}{space 2} .0576195{col 37}{space 1}    0.60{col 46}{space 3}0.546{col 54}{space 4}-.0788216{col 67}{space 3} .1485218
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull + sc_attend = 0{p_end}

{txt}       F(  1,   186) ={res}    0.37
{txt}{col 13}Prob > F ={res}    0.5460

{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}     7,288
{txt}{col 49}F({res}  16{txt},{res}    186{txt}){col 67}= {res}      4.84
{txt}{col 49}Prob > F{col 67}= {res}    0.0000
{txt}{col 49}R-squared{col 67}= {res}    0.0546
{txt}{col 49}Adj R-squared{col 67}= {res}    0.0505
{txt}{col 49}Root MSE{col 67}= {res}    0.9794

{txt}{ralign 78:(Std. Err. adjusted for {res:187} clusters in hc_id)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}e_yearb_av~z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2} .0390468{col 26}{space 2} .0432106{col 37}{space 1}    0.90{col 46}{space 3}0.367{col 54}{space 4}-.0461991{col 67}{space 3} .1242927
{txt}b_yearb_av~z {c |}{col 14}{res}{space 2} .0529373{col 26}{space 2} .0127614{col 37}{space 1}    4.15{col 46}{space 3}0.000{col 54}{space 4} .0277616{col 67}{space 3} .0781129
{txt}b_yearb_~z_d {c |}{col 14}{res}{space 2} .0487153{col 26}{space 2} .0305733{col 37}{space 1}    1.59{col 46}{space 3}0.113{col 54}{space 4}-.0115999{col 67}{space 3} .1090304
{txt}{space 3}sc_attend {c |}{col 14}{res}{space 2} .1191764{col 26}{space 2} .0534026{col 37}{space 1}    2.23{col 46}{space 3}0.027{col 54}{space 4} .0138237{col 67}{space 3} .2245292
{txt}{space 1}c_tfull_hc2 {c |}{col 14}{res}{space 2}-.1367074{col 26}{space 2} .0925099{col 37}{space 1}   -1.48{col 46}{space 3}0.141{col 54}{space 4} -.319211{col 67}{space 3} .0457962
{txt}c_tfull_b_~l {c |}{col 14}{res}{space 2} .0724252{col 26}{space 2} .1209458{col 37}{space 1}    0.60{col 46}{space 3}0.550{col 54}{space 4}-.1661767{col 67}{space 3} .3110271
{txt}c_tfull_b_~s {c |}{col 14}{res}{space 2}-.0962596{col 26}{space 2} .1237256{col 37}{space 1}   -0.78{col 46}{space 3}0.438{col 54}{space 4}-.3403454{col 67}{space 3} .1478263
{txt}c_tfull_b_~d {c |}{col 14}{res}{space 2}-.0314465{col 26}{space 2} .0655755{col 37}{space 1}   -0.48{col 46}{space 3}0.632{col 54}{space 4}-.1608139{col 67}{space 3} .0979209
{txt}c_tfull_ed~r {c |}{col 14}{res}{space 2} .0063763{col 26}{space 2} .0044613{col 37}{space 1}    1.43{col 46}{space 3}0.155{col 54}{space 4} -.002425{col 67}{space 3} .0151776
{txt}c_tfull_b_~x {c |}{col 14}{res}{space 2}  .019419{col 26}{space 2} .0203212{col 37}{space 1}    0.96{col 46}{space 3}0.341{col 54}{space 4}-.0206707{col 67}{space 3} .0595087
{txt}c_trea~l_hc2 {c |}{col 14}{res}{space 2}-.1095795{col 26}{space 2} .1011385{col 37}{space 1}   -1.08{col 46}{space 3}0.280{col 54}{space 4}-.3091056{col 67}{space 3} .0899466
{txt}c_treatful.. {c |}{col 14}{res}{space 2}  -.09061{col 26}{space 2} .1205407{col 37}{space 1}   -0.75{col 46}{space 3}0.453{col 54}{space 4}-.3284126{col 67}{space 3} .1471926
{txt}c_treatful.. {c |}{col 14}{res}{space 2} .1187352{col 26}{space 2} .1315327{col 37}{space 1}    0.90{col 46}{space 3}0.368{col 54}{space 4}-.1407525{col 67}{space 3} .3782229
{txt}c_treatful.. {c |}{col 14}{res}{space 2}  .111279{col 26}{space 2}  .084858{col 37}{space 1}    1.31{col 46}{space 3}0.191{col 54}{space 4}-.0561289{col 67}{space 3} .2786869
{txt}c_treatful.. {c |}{col 14}{res}{space 2}-.0073761{col 26}{space 2} .0058881{col 37}{space 1}   -1.25{col 46}{space 3}0.212{col 54}{space 4}-.0189921{col 67}{space 3}   .00424
{txt}c_treatful.. {c |}{col 14}{res}{space 2}-.0381327{col 26}{space 2} .0284364{col 37}{space 1}   -1.34{col 46}{space 3}0.182{col 54}{space 4}-.0942321{col 67}{space 3} .0179667
{txt}{space 7}_cons {c |}{col 14}{res}{space 2}-.0242998{col 26}{space 2} .0318729{col 37}{space 1}   -0.76{col 46}{space 3}0.447{col 54}{space 4}-.0871787{col 67}{space 3} .0385791
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull + sc_attend = 0{p_end}

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}e_yearb_av~z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}(1) {c |}{col 14}{res}{space 2} .1582232{col 26}{space 2}  .053589{col 37}{space 1}    2.95{col 46}{space 3}0.004{col 54}{space 4} .0525028{col 67}{space 3} .2639436
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull + sc_attend = 0{p_end}

{txt}       F(  1,   186) ={res}    8.72
{txt}{col 13}Prob > F ={res}    0.0036
{txt}
{com}.                 
.         
.         foreach x in `patsat_nobaseline' {c -(}
{txt}  2{com}.                 areg  e_`x' `var' sc_attend `e_controls_tfull' ``var'_int_e_controls', robust cl(hc_id) a(district)
{txt}  3{com}. 
.                 local n_1_`x' = `e(N)'
{txt}  4{com}.                 local r2_1_`x' = string(`e(r2)',"%9.3fc")
{txt}  5{com}.                 local est_1_`x' = string(_b[`var'],"%9.3fc")
{txt}  6{com}.                 local se_1_`x' = string(_se[`var'],"%9.3fc")
{txt}  7{com}.                 local p_1_`x' = (2 * ttail(e(df_r), abs(_b[`var']/_se[`var'])))
{txt}  8{com}.                 
.                 gen s_1_1s_`x' = (`p_1_`x''<=0.1 & `p_1_`x''>0.05)
{txt}  9{com}.                 gen s_1_2s_`x' = (`p_1_`x''<=0.05 & `p_1_`x''>0.01)
{txt} 10{com}.                 gen s_1_3s_`x' = (`p_1_`x''<=0.01 & `p_1_`x''>=0)
{txt} 11{com}.         
.                 if s_1_1s_`x' == 1 {c -(}
{txt} 12{com}.                                 local est_1_`x' = "`est_1_`x''*"
{txt} 13{com}.                                 {c )-}
{txt} 14{com}.                                 
.                 if s_1_2s_`x' == 1 {c -(}
{txt} 15{com}.                                 local est_1_`x' = "`est_1_`x''**"
{txt} 16{com}.                                 {c )-}
{txt} 17{com}.                                 
.                 if s_1_3s_`x' == 1 {c -(}
{txt} 18{com}.                                 local est_1_`x' = "`est_1_`x''***"
{txt} 19{com}.                                 {c )-}
{txt} 20{com}.                 
.                 local est_2_`x' = string(_b[sc_attend],"%9.3fc")
{txt} 21{com}.                 local se_2_`x' = string(_se[sc_attend],"%9.3fc")
{txt} 22{com}.                 local p_2_`x' = (2 * ttail(e(df_r), abs(_b[sc_attend]/_se[sc_attend])))
{txt} 23{com}.                 
.                 gen s_2_1s_`x' = (`p_2_`x''<=0.1 & `p_2_`x''>0.05)
{txt} 24{com}.                 gen s_2_2s_`x' = (`p_2_`x''<=0.05 & `p_2_`x''>0.01)
{txt} 25{com}.                 gen s_2_3s_`x' = (`p_2_`x''<=0.01 & `p_2_`x''>=0)
{txt} 26{com}.         
.                 if s_2_1s_`x' == 1 {c -(}
{txt} 27{com}.                                 local est_2_`x' = "`est_2_`x''*"
{txt} 28{com}.                                 {c )-}
{txt} 29{com}.                                 
.                 if s_2_2s_`x' == 1 {c -(}
{txt} 30{com}.                                 local est_2_`x' = "`est_2_`x''**"
{txt} 31{com}.                                 {c )-}
{txt} 32{com}.                                 
.                 if s_2_3s_`x' == 1 {c -(}
{txt} 33{com}.                                 local est_2_`x' = "`est_2_`x''***"
{txt} 34{com}.                                 {c )-}
{txt} 35{com}.                 
.                 local est_3_`x' = string(_b[_cons],"%9.3fc")
{txt} 36{com}.                 local se_3_`x' = string(_se[_cons],"%9.3fc")
{txt} 37{com}.                 local p_3_`x' = (2 * ttail(e(df_r), abs(_b[_cons]/_se[_cons])))
{txt} 38{com}.                 
.                 gen s_3_1s_`x' = (`p_3_`x''<=0.1 & `p_3_`x''>0.05)
{txt} 39{com}.                 gen s_3_2s_`x' = (`p_3_`x''<=0.05 & `p_3_`x''>0.01)
{txt} 40{com}.                 gen s_3_3s_`x' = (`p_3_`x''<=0.01 & `p_3_`x''>=0)
{txt} 41{com}.         
.                 if s_3_1s_`x' == 1 {c -(}
{txt} 42{com}.                                 local est_3_`x' = "`est_3_`x''*"
{txt} 43{com}.                                 {c )-}
{txt} 44{com}.                                 
.                 if s_3_2s_`x' == 1 {c -(}
{txt} 45{com}.                                 local est_3_`x' = "`est_3_`x''**"
{txt} 46{com}.                                 {c )-}
{txt} 47{com}.                                 
.                 if s_3_3s_`x' == 1 {c -(}
{txt} 48{com}.                                 local est_3_`x' = "`est_3_`x''***"
{txt} 49{com}.                                 {c )-}
{txt} 50{com}.         
.                 lincom treatfull + sc_attend
{txt} 51{com}.                 local est_4_`x' = string(`r(estimate)',"%9.3fc")
{txt} 52{com}.                 local se_4_`x' = string(`r(se)',"%9.3fc")
{txt} 53{com}.                 local se_4_`x' = "(`se_4_`x'')"
{txt} 54{com}.                 test treatfull + sc_attend = 0
{txt} 55{com}.                 local p_4_`x' = `r(p)'
{txt} 56{com}.                 
.                 gen s_4_1s_`x' = (`p_4_`x''<=0.1 & `p_4_`x''>0.05)
{txt} 57{com}.                 gen s_4_2s_`x' = (`p_4_`x''<=0.05 & `p_4_`x''>0.01)
{txt} 58{com}.                 gen s_4_3s_`x' = (`p_4_`x''<=0.01 & `p_4_`x''>=0)
{txt} 59{com}.         
.                 if s_4_1s_`x' == 1 {c -(}
{txt} 60{com}.                                 local est_4_`x' = "`est_4_`x''*"
{txt} 61{com}.                                 {c )-}
{txt} 62{com}.                                 
.                 if s_4_2s_`x' == 1 {c -(}
{txt} 63{com}.                                 local est_4_`x' = "`est_4_`x''**"
{txt} 64{com}.                                 {c )-}
{txt} 65{com}.                                 
.                 if s_4_3s_`x' == 1 {c -(}
{txt} 66{com}.                                 local est_4_`x' = "`est_4_`x''***"
{txt} 67{com}.                                 {c )-}
{txt} 68{com}.                 
.                 drop s_*
{txt} 69{com}.                 {c )-}

{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}     7,288
{txt}{col 49}F({res}  14{txt},{res}    186{txt}){col 67}= {res}      3.57
{txt}{col 49}Prob > F{col 67}= {res}    0.0000
{txt}{col 49}R-squared{col 67}= {res}    0.0656
{txt}{col 49}Adj R-squared{col 67}= {res}    0.0619
{txt}{col 49}Root MSE{col 67}= {res}    0.9746

{txt}{ralign 78:(Std. Err. adjusted for {res:187} clusters in hc_id)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}e_qualityh~z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2} .1084548{col 26}{space 2}  .038656{col 37}{space 1}    2.81{col 46}{space 3}0.006{col 54}{space 4} .0321941{col 67}{space 3} .1847154
{txt}{space 3}sc_attend {c |}{col 14}{res}{space 2}-.0096816{col 26}{space 2} .0626249{col 37}{space 1}   -0.15{col 46}{space 3}0.877{col 54}{space 4} -.133228{col 67}{space 3} .1138649
{txt}{space 1}c_tfull_hc2 {c |}{col 14}{res}{space 2}-.1853284{col 26}{space 2} .0607315{col 37}{space 1}   -3.05{col 46}{space 3}0.003{col 54}{space 4}-.3051394{col 67}{space 3}-.0655173
{txt}c_tfull_b_~l {c |}{col 14}{res}{space 2} .0995579{col 26}{space 2} .0801666{col 37}{space 1}    1.24{col 46}{space 3}0.216{col 54}{space 4}-.0585949{col 67}{space 3} .2577107
{txt}c_tfull_b_~s {c |}{col 14}{res}{space 2}-.0767432{col 26}{space 2} .0893005{col 37}{space 1}   -0.86{col 46}{space 3}0.391{col 54}{space 4}-.2529152{col 67}{space 3} .0994288
{txt}c_tfull_b_~d {c |}{col 14}{res}{space 2}  .052418{col 26}{space 2} .0676637{col 37}{space 1}    0.77{col 46}{space 3}0.440{col 54}{space 4}-.0810689{col 67}{space 3}  .185905
{txt}c_tfull_ed~r {c |}{col 14}{res}{space 2}-.0023721{col 26}{space 2} .0039741{col 37}{space 1}   -0.60{col 46}{space 3}0.551{col 54}{space 4}-.0102121{col 67}{space 3} .0054679
{txt}c_tfull_b_~x {c |}{col 14}{res}{space 2} .0146772{col 26}{space 2}  .018877{col 37}{space 1}    0.78{col 46}{space 3}0.438{col 54}{space 4}-.0225633{col 67}{space 3} .0519177
{txt}c_trea~l_hc2 {c |}{col 14}{res}{space 2}-.0116607{col 26}{space 2} .0859689{col 37}{space 1}   -0.14{col 46}{space 3}0.892{col 54}{space 4}-.1812602{col 67}{space 3} .1579388
{txt}c_treatful.. {c |}{col 14}{res}{space 2} -.061345{col 26}{space 2} .0997608{col 37}{space 1}   -0.61{col 46}{space 3}0.539{col 54}{space 4}-.2581531{col 67}{space 3}  .135463
{txt}c_treatful.. {c |}{col 14}{res}{space 2}-.0108598{col 26}{space 2} .1096055{col 37}{space 1}   -0.10{col 46}{space 3}0.921{col 54}{space 4}-.2270894{col 67}{space 3} .2053699
{txt}c_treatful.. {c |}{col 14}{res}{space 2}-.0347348{col 26}{space 2} .0976993{col 37}{space 1}   -0.36{col 46}{space 3}0.723{col 54}{space 4}-.2274761{col 67}{space 3} .1580064
{txt}c_treatful.. {c |}{col 14}{res}{space 2}-.0036598{col 26}{space 2} .0058159{col 37}{space 1}   -0.63{col 46}{space 3}0.530{col 54}{space 4}-.0151334{col 67}{space 3} .0078138
{txt}c_treatful.. {c |}{col 14}{res}{space 2}-.0066087{col 26}{space 2} .0288496{col 37}{space 1}   -0.23{col 46}{space 3}0.819{col 54}{space 4}-.0635232{col 67}{space 3} .0503058
{txt}{space 7}_cons {c |}{col 14}{res}{space 2}-.0072832{col 26}{space 2} .0231671{col 37}{space 1}   -0.31{col 46}{space 3}0.754{col 54}{space 4}-.0529872{col 67}{space 3} .0384208
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull + sc_attend = 0{p_end}

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}e_qualityh~z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}(1) {c |}{col 14}{res}{space 2} .0987732{col 26}{space 2}  .057055{col 37}{space 1}    1.73{col 46}{space 3}0.085{col 54}{space 4} -.013785{col 67}{space 3} .2113314
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull + sc_attend = 0{p_end}

{txt}       F(  1,   186) ={res}    3.00
{txt}{col 13}Prob > F ={res}    0.0851
{txt}
{com}. 
.         * We create the tables concerning the results of the patient satisfaction index
.         
.         texdoc init "${c -(}tables{c )-}/TableI37.tex", replace force
{res}{txt}(texdoc output file is /Users/fredericcochinard/Dropbox/ACT_Health_JOP_replication_file/3.Tables and Figures/Tables/TableI37.tex)
{res}{txt}
{com}.         tex \begin{c -(}table{c )-}[htbp]\centering
{res}{txt}
{com}.         tex \footnotesize
{res}{txt}
{com}.         tex \def\sym#1{c -(}\ifmmode^{c -(}#1{c )-}\else\(^{c -(}#1{c )-}\)\fi{c )-}
{res}{txt}
{com}.         tex \caption{c -(}Patient satisfaction: subcomponents{c )-}
{res}{txt}
{com}.         tex \begin{c -(}tabular{c )-}{c -(}lggggggg{c )-}
{res}{txt}
{com}.         tex \toprule
{res}{txt}
{com}.         tex                                                                                       & (1)                       & (2)                                                          & (3)                                                             & (4)           & (5) & (6) & (7)                                                                   \\
{res}{txt}
{com}.     tex \multirow{c -(}-2{c )-}{c -(}*{c )-}{c -(}{c )-}                               & \textbf{c -(}\begin{c -(}tabular{c )-}[c]{c -(}@{c -(}{c )-}c@{c -(}{c )-}{c )-}Patient\\satisfaction\\index\end{c -(}tabular{c )-}{c )-}      & \begin{c -(}tabular{c )-}[c]{c -(}@{c -(}{c )-}c@{c -(}{c )-}{c )-}Satisfied by\\HC quality\end{c -(}tabular{c )-} & \begin{c -(}tabular{c )-}[c]{c -(}@{c -(}{c )-}c@{c -(}{c )-}{c )-}Satisfied\\with quality\\of care\end{c -(}tabular{c )-} & \begin{c -(}tabular{c )-}[c]{c -(}@{c -(}{c )-}c@{c -(}{c )-}{c )-}Polite\\staff\end{c -(}tabular{c )-} & \begin{c -(}tabular{c )-}[c]{c -(}@{c -(}{c )-}c@{c -(}{c )-}{c )-}Staff\\interested\\in health\end{c -(}tabular{c )-} & \begin{c -(}tabular{c )-}[c]{c -(}@{c -(}{c )-}c@{c -(}{c )-}{c )-}Free to\\express\\clearly\end{c -(}tabular{c )-} & \begin{c -(}tabular{c )-}[c]{c -(}@{c -(}{c )-}c@{c -(}{c )-}{c )-}Availability\\of staff\\improving\end{c -(}tabular{c )-} \\
{res}{txt}
{com}.         tex \midrule
{res}{txt}
{com}.         tex \multirow{c -(}2{c )-}{c -(}*{c )-}{c -(}Full treatment{c )-}  & `est_1_patsat_z'           & `est_1_qualitycare_z'                                                            & `est_1_politestaff_z'                                                               & `est_1_interest_health_z'      & `est_1_stafflistening_z'     & `est_1_freeexpress_z'   & `est_1_yearb_avail_z'                          \\
{res}{txt}
{com}.         tex  & (`se_1_patsat_z')           & (`se_1_qualitycare_z')                                                            & (`se_1_politestaff_z')                                                               & (`se_1_interest_health_z')                & (`se_1_stafflistening_z')     & (`se_1_freeexpress_z')   & (`se_1_yearb_avail_z')     \\
{res}{txt}
{com}.         tex \multirow{c -(}2{c )-}{c -(}*{c )-}{c -(}Subcounty official presence{c )-}  & `est_2_patsat_z'           & `est_2_qualitycare_z'                                                            & `est_2_politestaff_z'                                                               & `est_2_interest_health_z'          & `est_2_stafflistening_z'     & `est_2_freeexpress_z'   & `est_2_yearb_avail_z'                                                       \\
{res}{txt}
{com}.         tex  & (`se_2_patsat_z')           & (`se_2_qualitycare_z')                                                           & (`se_2_politestaff_z')                                                               & (`se_2_interest_health_z')           & (`se_2_stafflistening_z')     & (`se_2_freeexpress_z')   & (`se_2_yearb_avail_z')                                                       \\
{res}{txt}
{com}.         tex \multirow{c -(}2{c )-}{c -(}*{c )-}{c -(}Control{c )-}  & `est_3_patsat_z'           & `est_3_qualitycare_z'                                                            & `est_3_politestaff_z'                                                               & `est_3_interest_health_z'       & `est_3_stafflistening_z'     & `est_3_freeexpress_z'   & `est_3_yearb_avail_z'                                                           \\
{res}{txt}
{com}.         tex  & (`se_3_patsat_z')           & (`se_3_qualitycare_z')                                                            & (`se_3_politestaff_z')                                                               & (`se_3_interest_health_z')                    & (`se_3_stafflistening_z')     & (`se_3_freeexpress_z')   & (`se_3_yearb_avail_z')                                             \\
{res}{txt}
{com}.         tex \midrule
{res}{txt}
{com}.         tex \multirow{c -(}1{c )-}{c -(}*{c )-}{c -(}N{c )-} & `n_1_patsat_z'           & `n_1_qualitycare_z'                                                            & `n_1_politestaff_z'                                                             & `n_1_interest_health_z'         & `n_1_stafflistening_z'     & `n_1_freeexpress_z'   & `n_1_yearb_avail_z'                                                            \\
{res}{txt}
{com}.         tex \multirow{c -(}1{c )-}{c -(}*{c )-}{c -(}R$^{c -(}2{c )-}${c )-}   & `r2_1_patsat_z'           & `r2_1_qualitycare_z'                                                           & `r2_1_politestaff_z'                                                               & `r2_1_interest_health_z'                   & `r2_1_stafflistening_z'     & `r2_1_freeexpress_z'   & `r2_1_yearb_avail_z'                                               \\
{res}{txt}
{com}.         tex \multirow{c -(}2{c )-}{c -(}*{c )-}{c -(}Full treatment net effect{c )-}  & `est_4_patsat_z'           & `est_4_qualitycare_z'                                                            & `est_4_politestaff_z'                                                               & `est_4_interest_health_z'            & `est_4_stafflistening_z'     & `est_4_freeexpress_z'   & `est_4_yearb_avail_z'                                                         \\
{res}{txt}
{com}.         tex  & (`se_4_patsat_z')           & (`se_4_qualitycare_z')                                                            & (`se_4_politestaff_z')                                                               & (`se_4_interest_health_z')                                                               & (`se_4_stafflistening_z')     & (`se_4_freeexpress_z')   & (`se_4_yearb_avail_z')      \\
{res}{txt}
{com}.         tex \bottomrule
{res}{txt}
{com}.         tex \end{c -(}tabular{c )-}
{res}{txt}
{com}.         tex \end{c -(}table{c )-}
{res}{txt}
{com}.         texdoc close
{txt}(texdoc output written to {browse `"/Users/fredericcochinard/Dropbox/ACT_Health_JOP_replication_file/3.Tables and Figures/Tables/TableI37.tex"':/Users/fredericcochinard/Dropbox/ACT_Health_JOP_replication_file/3.Tables and Figures/Tables/TableI37.tex})
{res}{txt}
{com}.         
.         ************************************************************
.         * Table I38: Citizen monitoring index – All treatment arms *
.         ************************************************************
.         
.         * We work on the coefficient plot for the utilization indice
.         
.         use "${c -(}usedata{c )-}/chp_el_light_dataset.dta", clear
{txt}
{com}.         
.         * At endline:
.         
.         eststo clear
{txt}
{com}.         
.         local y = 1
{txt}
{com}.         foreach x in `commmonitoring' {c -(}
{txt}  2{com}.                 areg  e_`x' fullomn infomn intomn b_`x' b_`x'_d  `fullomn_int_e_controls' `e_controls' `infomn_int_e_controls' `intomn_int_e_controls', robust cl(hc_id) a(district)
{txt}  3{com}. 
.                 test infomn = intomn
{txt}  4{com}.                 estadd scalar f_wald = r(p)
{txt}  5{com}.                 
.                 test infomn = fullomn
{txt}  6{com}.                 estadd scalar f_wald1 = r(p)
{txt}  7{com}.                 
.                 test intomn = fullomn
{txt}  8{com}.                 estadd scalar f_wald2 = r(p)
{txt}  9{com}.                 
.                 test fullomn infomn intomn
{txt} 10{com}.                 estadd scalar f_3 = r(F)
{txt} 11{com}.                 estadd scalar f_wald3 = r(p)
{txt} 12{com}.                 
.                 estimates store m`y'
{txt} 13{com}.                 
.                 local y = `y' + 1
{txt} 14{com}.                 {c )-}
{txt}note: b_commtg_z_d omitted because of collinearity
{res}
{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}    14,609
{txt}{col 49}F({res}  25{txt},{res}    375{txt}){col 67}= {res}      6.80
{txt}{col 49}Prob > F{col 67}= {res}    0.0000
{txt}{col 49}R-squared{col 67}= {res}    0.0753
{txt}{col 49}Adj R-squared{col 67}= {res}    0.0728
{txt}{col 49}Root MSE{col 67}= {res}    0.5678

{txt}{ralign 78:(Std. Err. adjusted for {res:376} clusters in hc_id)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}  e_commtg_z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 5}fullomn {c |}{col 14}{res}{space 2} .0050719{col 26}{space 2} .0290098{col 37}{space 1}    0.17{col 46}{space 3}0.861{col 54}{space 4}-.0519703{col 67}{space 3} .0621142
{txt}{space 6}infomn {c |}{col 14}{res}{space 2} .0377514{col 26}{space 2} .0300495{col 37}{space 1}    1.26{col 46}{space 3}0.210{col 54}{space 4}-.0213353{col 67}{space 3} .0968381
{txt}{space 6}intomn {c |}{col 14}{res}{space 2} .0429601{col 26}{space 2} .0287888{col 37}{space 1}    1.49{col 46}{space 3}0.136{col 54}{space 4}-.0136476{col 67}{space 3} .0995677
{txt}{space 2}b_commtg_z {c |}{col 14}{res}{space 2} .0693669{col 26}{space 2}  .009443{col 37}{space 1}    7.35{col 46}{space 3}0.000{col 54}{space 4} .0507991{col 67}{space 3} .0879347
{txt}b_commtg_z_d {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
c_full~n_hc2 {c |}{col 14}{res}{space 2} .1346141{col 26}{space 2} .0429991{col 37}{space 1}    3.13{col 46}{space 3}0.002{col 54}{space 4} .0500646{col 67}{space 3} .2191636
{txt}c_fullomn_.. {c |}{col 14}{res}{space 2} .0972826{col 26}{space 2} .0445298{col 37}{space 1}    2.18{col 46}{space 3}0.030{col 54}{space 4} .0097233{col 67}{space 3}  .184842
{txt}c_fullomn_.. {c |}{col 14}{res}{space 2} .0242694{col 26}{space 2} .0501613{col 37}{space 1}    0.48{col 46}{space 3}0.629{col 54}{space 4}-.0743634{col 67}{space 3} .1229021
{txt}c_fullomn_.. {c |}{col 14}{res}{space 2}  .110979{col 26}{space 2} .0641288{col 37}{space 1}    1.73{col 46}{space 3}0.084{col 54}{space 4}-.0151181{col 67}{space 3}  .237076
{txt}c_f~n_educyr {c |}{col 14}{res}{space 2} .0017456{col 26}{space 2} .0035143{col 37}{space 1}    0.50{col 46}{space 3}0.620{col 54}{space 4}-.0051646{col 67}{space 3} .0086559
{txt}c_fullomn_.. {c |}{col 14}{res}{space 2} .0048774{col 26}{space 2} .0178562{col 37}{space 1}    0.27{col 46}{space 3}0.785{col 54}{space 4}-.0302334{col 67}{space 3} .0399882
{txt}c_b_visite~d {c |}{col 14}{res}{space 2} .0511499{col 26}{space 2} .0470157{col 37}{space 1}    1.09{col 46}{space 3}0.277{col 54}{space 4}-.0412976{col 67}{space 3} .1435974
{txt}{space 4}c_educyr {c |}{col 14}{res}{space 2} .0027028{col 26}{space 2} .0024785{col 37}{space 1}    1.09{col 46}{space 3}0.276{col 54}{space 4}-.0021707{col 67}{space 3} .0075763
{txt}c_b_asseti~x {c |}{col 14}{res}{space 2} .0183788{col 26}{space 2} .0119351{col 37}{space 1}    1.54{col 46}{space 3}0.124{col 54}{space 4}-.0050892{col 67}{space 3} .0418469
{txt}c_infomn_hc2 {c |}{col 14}{res}{space 2} .1436839{col 26}{space 2} .0550602{col 37}{space 1}    2.61{col 46}{space 3}0.009{col 54}{space 4} .0354185{col 67}{space 3} .2519494
{txt}c_infomn_b~l {c |}{col 14}{res}{space 2} .0400274{col 26}{space 2} .0534782{col 37}{space 1}    0.75{col 46}{space 3}0.455{col 54}{space 4}-.0651273{col 67}{space 3} .1451822
{txt}c_infomn_b~s {c |}{col 14}{res}{space 2}-.0270598{col 26}{space 2} .0558167{col 37}{space 1}   -0.48{col 46}{space 3}0.628{col 54}{space 4}-.1368127{col 67}{space 3} .0826932
{txt}c_infomn_b.. {c |}{col 14}{res}{space 2} .0399233{col 26}{space 2} .0618927{col 37}{space 1}    0.65{col 46}{space 3}0.519{col 54}{space 4}-.0817769{col 67}{space 3} .1616236
{txt}c_infomn_e~r {c |}{col 14}{res}{space 2}-.0001493{col 26}{space 2} .0034583{col 37}{space 1}   -0.04{col 46}{space 3}0.966{col 54}{space 4}-.0069494{col 67}{space 3} .0066508
{txt}c_infomn_b.. {c |}{col 14}{res}{space 2}-.0227291{col 26}{space 2}  .019334{col 37}{space 1}   -1.18{col 46}{space 3}0.241{col 54}{space 4}-.0607457{col 67}{space 3} .0152876
{txt}c_intomn_hc2 {c |}{col 14}{res}{space 2} .0108026{col 26}{space 2} .0557909{col 37}{space 1}    0.19{col 46}{space 3}0.847{col 54}{space 4}-.0988995{col 67}{space 3} .1205048
{txt}c_intomn_b~l {c |}{col 14}{res}{space 2} -.087411{col 26}{space 2} .0510456{col 37}{space 1}   -1.71{col 46}{space 3}0.088{col 54}{space 4}-.1877826{col 67}{space 3} .0129605
{txt}c_intomn_b~s {c |}{col 14}{res}{space 2}-.0623428{col 26}{space 2}  .054147{col 37}{space 1}   -1.15{col 46}{space 3}0.250{col 54}{space 4}-.1688126{col 67}{space 3}  .044127
{txt}c_intomn_b.. {c |}{col 14}{res}{space 2} .1022375{col 26}{space 2} .0662365{col 37}{space 1}    1.54{col 46}{space 3}0.124{col 54}{space 4} -.028004{col 67}{space 3}  .232479
{txt}c_intomn_e~r {c |}{col 14}{res}{space 2} -.000339{col 26}{space 2} .0036276{col 37}{space 1}   -0.09{col 46}{space 3}0.926{col 54}{space 4} -.007472{col 67}{space 3}  .006794
{txt}c_intomn_b.. {c |}{col 14}{res}{space 2} -.003393{col 26}{space 2} .0167736{col 37}{space 1}   -0.20{col 46}{space 3}0.840{col 54}{space 4}-.0363752{col 67}{space 3} .0295892
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} .0026312{col 26}{space 2} .0199751{col 37}{space 1}    0.13{col 46}{space 3}0.895{col 54}{space 4} -.036646{col 67}{space 3} .0419083
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}infomn - intomn = 0{p_end}

{txt}       F(  1,   375) ={res}    0.03
{txt}{col 13}Prob > F ={res}    0.8656

{txt}added scalar:
             e(f_wald) =  {res}.86562621

{p 0 7}{space 1}{text:( 1)}{space 1}{space 1}{res}- fullomn + infomn = 0{p_end}

{txt}       F(  1,   375) ={res}    1.13
{txt}{col 13}Prob > F ={res}    0.2874

{txt}added scalar:
            e(f_wald1) =  {res}.28743625

{p 0 7}{space 1}{text:( 1)}{space 1}{space 1}{res}- fullomn + intomn = 0{p_end}

{txt}       F(  1,   375) ={res}    1.65
{txt}{col 13}Prob > F ={res}    0.1995

{txt}added scalar:
            e(f_wald2) =  {res}.19950314

{p 0 7}{space 1}{text:( 1)}{space 1} fullomn = 0{p_end}
{p 0 7}{space 1}{text:( 2)}{space 1} infomn = 0{p_end}
{p 0 7}{space 1}{text:( 3)}{space 1} intomn = 0{p_end}

{txt}       F(  3,   375) ={res}    1.13
{txt}{col 13}Prob > F ={res}    0.3367

{txt}added scalar:
                e(f_3) =  {res}1.1301635

{txt}added scalar:
            e(f_wald3) =  {res}.33669669

{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}    14,609
{txt}{col 49}F({res}  26{txt},{res}    375{txt}){col 67}= {res}      5.36
{txt}{col 49}Prob > F{col 67}= {res}    0.0000
{txt}{col 49}R-squared{col 67}= {res}    0.0817
{txt}{col 49}Adj R-squared{col 67}= {res}    0.0791
{txt}{col 49}Root MSE{col 67}= {res}    0.9503

{txt}{ralign 78:(Std. Err. adjusted for {res:376} clusters in hc_id)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}e_lc1_me~s_z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 5}fullomn {c |}{col 14}{res}{space 2} .0495516{col 26}{space 2} .0531269{col 37}{space 1}    0.93{col 46}{space 3}0.352{col 54}{space 4}-.0549124{col 67}{space 3} .1540156
{txt}{space 6}infomn {c |}{col 14}{res}{space 2}-.0099604{col 26}{space 2} .0545441{col 37}{space 1}   -0.18{col 46}{space 3}0.855{col 54}{space 4} -.117211{col 67}{space 3} .0972902
{txt}{space 6}intomn {c |}{col 14}{res}{space 2} .0397134{col 26}{space 2} .0534405{col 37}{space 1}    0.74{col 46}{space 3}0.458{col 54}{space 4}-.0653671{col 67}{space 3} .1447939
{txt}b_lc1_me~s_z {c |}{col 14}{res}{space 2}  .074071{col 26}{space 2} .0124796{col 37}{space 1}    5.94{col 46}{space 3}0.000{col 54}{space 4} .0495323{col 67}{space 3} .0986097
{txt}b_lc1_~s_z_d {c |}{col 14}{res}{space 2}-.0909886{col 26}{space 2} .0183328{col 37}{space 1}   -4.96{col 46}{space 3}0.000{col 54}{space 4}-.1270365{col 67}{space 3}-.0549407
{txt}c_full~n_hc2 {c |}{col 14}{res}{space 2}  .156222{col 26}{space 2} .0646655{col 37}{space 1}    2.42{col 46}{space 3}0.016{col 54}{space 4} .0290695{col 67}{space 3} .2833744
{txt}c_fullomn_.. {c |}{col 14}{res}{space 2} .1916456{col 26}{space 2} .0806905{col 37}{space 1}    2.38{col 46}{space 3}0.018{col 54}{space 4} .0329831{col 67}{space 3} .3503081
{txt}c_fullomn_.. {c |}{col 14}{res}{space 2}-.0582758{col 26}{space 2} .0955193{col 37}{space 1}   -0.61{col 46}{space 3}0.542{col 54}{space 4}-.2460964{col 67}{space 3} .1295447
{txt}c_fullomn_.. {c |}{col 14}{res}{space 2} .1689829{col 26}{space 2} .1270157{col 37}{space 1}    1.33{col 46}{space 3}0.184{col 54}{space 4}-.0807693{col 67}{space 3} .4187351
{txt}c_f~n_educyr {c |}{col 14}{res}{space 2}-.0081758{col 26}{space 2} .0061833{col 37}{space 1}   -1.32{col 46}{space 3}0.187{col 54}{space 4} -.020334{col 67}{space 3} .0039824
{txt}c_fullomn_.. {c |}{col 14}{res}{space 2} .0262884{col 26}{space 2} .0299212{col 37}{space 1}    0.88{col 46}{space 3}0.380{col 54}{space 4} -.032546{col 67}{space 3} .0851229
{txt}c_b_visite~d {c |}{col 14}{res}{space 2}-.1301525{col 26}{space 2} .1034879{col 37}{space 1}   -1.26{col 46}{space 3}0.209{col 54}{space 4}-.3336419{col 67}{space 3} .0733368
{txt}{space 4}c_educyr {c |}{col 14}{res}{space 2} .0087398{col 26}{space 2} .0045271{col 37}{space 1}    1.93{col 46}{space 3}0.054{col 54}{space 4}-.0001619{col 67}{space 3} .0176414
{txt}c_b_asseti~x {c |}{col 14}{res}{space 2} .0246088{col 26}{space 2} .0214381{col 37}{space 1}    1.15{col 46}{space 3}0.252{col 54}{space 4}-.0175451{col 67}{space 3} .0667627
{txt}c_infomn_hc2 {c |}{col 14}{res}{space 2} .1859926{col 26}{space 2} .0787951{col 37}{space 1}    2.36{col 46}{space 3}0.019{col 54}{space 4} .0310569{col 67}{space 3} .3409282
{txt}c_infomn_b~l {c |}{col 14}{res}{space 2} .0906615{col 26}{space 2} .0840816{col 37}{space 1}    1.08{col 46}{space 3}0.282{col 54}{space 4} -.074669{col 67}{space 3} .2559919
{txt}c_infomn_b~s {c |}{col 14}{res}{space 2}-.1656029{col 26}{space 2} .1107978{col 37}{space 1}   -1.49{col 46}{space 3}0.136{col 54}{space 4}-.3834656{col 67}{space 3} .0522599
{txt}c_infomn_b.. {c |}{col 14}{res}{space 2} .0681681{col 26}{space 2} .1185069{col 37}{space 1}    0.58{col 46}{space 3}0.565{col 54}{space 4}-.1648532{col 67}{space 3} .3011893
{txt}c_infomn_e~r {c |}{col 14}{res}{space 2}-.0011959{col 26}{space 2} .0062167{col 37}{space 1}   -0.19{col 46}{space 3}0.848{col 54}{space 4}-.0134198{col 67}{space 3} .0110281
{txt}c_infomn_b.. {c |}{col 14}{res}{space 2} -.064759{col 26}{space 2} .0314159{col 37}{space 1}   -2.06{col 46}{space 3}0.040{col 54}{space 4}-.1265324{col 67}{space 3}-.0029857
{txt}c_intomn_hc2 {c |}{col 14}{res}{space 2} -.158903{col 26}{space 2} .0830269{col 37}{space 1}   -1.91{col 46}{space 3}0.056{col 54}{space 4}-.3221596{col 67}{space 3} .0043535
{txt}c_intomn_b~l {c |}{col 14}{res}{space 2}-.0842546{col 26}{space 2} .0911346{col 37}{space 1}   -0.92{col 46}{space 3}0.356{col 54}{space 4}-.2634535{col 67}{space 3} .0949444
{txt}c_intomn_b~s {c |}{col 14}{res}{space 2} -.026474{col 26}{space 2} .1028389{col 37}{space 1}   -0.26{col 46}{space 3}0.797{col 54}{space 4}-.2286873{col 67}{space 3} .1757393
{txt}c_intomn_b.. {c |}{col 14}{res}{space 2} .2898944{col 26}{space 2}  .130044{col 37}{space 1}    2.23{col 46}{space 3}0.026{col 54}{space 4} .0341875{col 67}{space 3} .5456013
{txt}c_intomn_e~r {c |}{col 14}{res}{space 2}-.0080742{col 26}{space 2} .0068616{col 37}{space 1}   -1.18{col 46}{space 3}0.240{col 54}{space 4}-.0215663{col 67}{space 3} .0054179
{txt}c_intomn_b.. {c |}{col 14}{res}{space 2}-.0305918{col 26}{space 2} .0312707{col 37}{space 1}   -0.98{col 46}{space 3}0.329{col 54}{space 4}-.0920796{col 67}{space 3}  .030896
{txt}{space 7}_cons {c |}{col 14}{res}{space 2}  .042623{col 26}{space 2} .0421657{col 37}{space 1}    1.01{col 46}{space 3}0.313{col 54}{space 4}-.0402879{col 67}{space 3}  .125534
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}infomn - intomn = 0{p_end}

{txt}       F(  1,   375) ={res}    1.04
{txt}{col 13}Prob > F ={res}    0.3076

{txt}added scalar:
             e(f_wald) =  {res}.30755763

{p 0 7}{space 1}{text:( 1)}{space 1}{space 1}{res}- fullomn + infomn = 0{p_end}

{txt}       F(  1,   375) ={res}    1.53
{txt}{col 13}Prob > F ={res}    0.2170

{txt}added scalar:
            e(f_wald1) =  {res}.216966

{p 0 7}{space 1}{text:( 1)}{space 1}{space 1}{res}- fullomn + intomn = 0{p_end}

{txt}       F(  1,   375) ={res}    0.04
{txt}{col 13}Prob > F ={res}    0.8331

{txt}added scalar:
            e(f_wald2) =  {res}.83308353

{p 0 7}{space 1}{text:( 1)}{space 1} fullomn = 0{p_end}
{p 0 7}{space 1}{text:( 2)}{space 1} infomn = 0{p_end}
{p 0 7}{space 1}{text:( 3)}{space 1} intomn = 0{p_end}

{txt}       F(  3,   375) ={res}    0.69
{txt}{col 13}Prob > F ={res}    0.5579

{txt}added scalar:
                e(f_3) =  {res}.69109152

{txt}added scalar:
            e(f_wald3) =  {res}.55794119

{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}    14,609
{txt}{col 49}F({res}  26{txt},{res}    375{txt}){col 67}= {res}      5.17
{txt}{col 49}Prob > F{col 67}= {res}    0.0000
{txt}{col 49}R-squared{col 67}= {res}    0.0867
{txt}{col 49}Adj R-squared{col 67}= {res}    0.0842
{txt}{col 49}Root MSE{col 67}= {res}    0.9832

{txt}{ralign 78:(Std. Err. adjusted for {res:376} clusters in hc_id)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}e_lc1_me~c_z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 5}fullomn {c |}{col 14}{res}{space 2} .0322816{col 26}{space 2} .0721283{col 37}{space 1}    0.45{col 46}{space 3}0.655{col 54}{space 4} -.109545{col 67}{space 3} .1741082
{txt}{space 6}infomn {c |}{col 14}{res}{space 2} .2001711{col 26}{space 2} .0736413{col 37}{space 1}    2.72{col 46}{space 3}0.007{col 54}{space 4} .0553695{col 67}{space 3} .3449727
{txt}{space 6}intomn {c |}{col 14}{res}{space 2} .1870656{col 26}{space 2} .0741766{col 37}{space 1}    2.52{col 46}{space 3}0.012{col 54}{space 4} .0412114{col 67}{space 3} .3329199
{txt}b_lc1_me~c_z {c |}{col 14}{res}{space 2} .1243176{col 26}{space 2} .0142258{col 37}{space 1}    8.74{col 46}{space 3}0.000{col 54}{space 4} .0963452{col 67}{space 3} .1522899
{txt}b_lc1_~c_z_d {c |}{col 14}{res}{space 2}-.0449246{col 26}{space 2}  .021108{col 37}{space 1}   -2.13{col 46}{space 3}0.034{col 54}{space 4}-.0864294{col 67}{space 3}-.0034198
{txt}c_full~n_hc2 {c |}{col 14}{res}{space 2} .0928009{col 26}{space 2} .1132209{col 37}{space 1}    0.82{col 46}{space 3}0.413{col 54}{space 4}-.1298266{col 67}{space 3} .3154283
{txt}c_fullomn_.. {c |}{col 14}{res}{space 2} .1759674{col 26}{space 2} .1145845{col 37}{space 1}    1.54{col 46}{space 3}0.125{col 54}{space 4}-.0493412{col 67}{space 3} .4012761
{txt}c_fullomn_.. {c |}{col 14}{res}{space 2} .0961643{col 26}{space 2} .1336308{col 37}{space 1}    0.72{col 46}{space 3}0.472{col 54}{space 4}-.1665953{col 67}{space 3} .3589239
{txt}c_fullomn_.. {c |}{col 14}{res}{space 2} .2899202{col 26}{space 2}  .129972{col 37}{space 1}    2.23{col 46}{space 3}0.026{col 54}{space 4} .0343549{col 67}{space 3} .5454854
{txt}c_f~n_educyr {c |}{col 14}{res}{space 2} .0013846{col 26}{space 2} .0063801{col 37}{space 1}    0.22{col 46}{space 3}0.828{col 54}{space 4}-.0111606{col 67}{space 3} .0139299
{txt}c_fullomn_.. {c |}{col 14}{res}{space 2} .0057207{col 26}{space 2} .0377977{col 37}{space 1}    0.15{col 46}{space 3}0.880{col 54}{space 4}-.0686013{col 67}{space 3} .0800427
{txt}c_b_visite~d {c |}{col 14}{res}{space 2}-.0553948{col 26}{space 2} .1016881{col 37}{space 1}   -0.54{col 46}{space 3}0.586{col 54}{space 4}-.2553452{col 67}{space 3} .1445555
{txt}{space 4}c_educyr {c |}{col 14}{res}{space 2}-.0020934{col 26}{space 2}  .004396{col 37}{space 1}   -0.48{col 46}{space 3}0.634{col 54}{space 4}-.0107372{col 67}{space 3} .0065504
{txt}c_b_asseti~x {c |}{col 14}{res}{space 2} .0043744{col 26}{space 2} .0277829{col 37}{space 1}    0.16{col 46}{space 3}0.875{col 54}{space 4}-.0502554{col 67}{space 3} .0590042
{txt}c_infomn_hc2 {c |}{col 14}{res}{space 2} .1243201{col 26}{space 2} .1371151{col 37}{space 1}    0.91{col 46}{space 3}0.365{col 54}{space 4}-.1452907{col 67}{space 3} .3939309
{txt}c_infomn_b~l {c |}{col 14}{res}{space 2}-.0224699{col 26}{space 2} .1458601{col 37}{space 1}   -0.15{col 46}{space 3}0.878{col 54}{space 4}-.3092761{col 67}{space 3} .2643363
{txt}c_infomn_b~s {c |}{col 14}{res}{space 2}-.0365678{col 26}{space 2} .1542848{col 37}{space 1}   -0.24{col 46}{space 3}0.813{col 54}{space 4}-.3399397{col 67}{space 3} .2668041
{txt}c_infomn_b.. {c |}{col 14}{res}{space 2} .1332058{col 26}{space 2} .1273065{col 37}{space 1}    1.05{col 46}{space 3}0.296{col 54}{space 4}-.1171182{col 67}{space 3} .3835298
{txt}c_infomn_e~r {c |}{col 14}{res}{space 2} .0005427{col 26}{space 2} .0070138{col 37}{space 1}    0.08{col 46}{space 3}0.938{col 54}{space 4}-.0132486{col 67}{space 3} .0143341
{txt}c_infomn_b.. {c |}{col 14}{res}{space 2}-.0092901{col 26}{space 2} .0381808{col 37}{space 1}   -0.24{col 46}{space 3}0.808{col 54}{space 4}-.0843653{col 67}{space 3} .0657851
{txt}c_intomn_hc2 {c |}{col 14}{res}{space 2}-.0129858{col 26}{space 2} .1382567{col 37}{space 1}   -0.09{col 46}{space 3}0.925{col 54}{space 4}-.2848414{col 67}{space 3} .2588698
{txt}c_intomn_b~l {c |}{col 14}{res}{space 2}-.2036689{col 26}{space 2} .1332436{col 37}{space 1}   -1.53{col 46}{space 3}0.127{col 54}{space 4}-.4656672{col 67}{space 3} .0583295
{txt}c_intomn_b~s {c |}{col 14}{res}{space 2}-.1471724{col 26}{space 2}  .145202{col 37}{space 1}   -1.01{col 46}{space 3}0.311{col 54}{space 4}-.4326847{col 67}{space 3} .1383398
{txt}c_intomn_b.. {c |}{col 14}{res}{space 2} .1849829{col 26}{space 2}  .131116{col 37}{space 1}    1.41{col 46}{space 3}0.159{col 54}{space 4}-.0728317{col 67}{space 3} .4427976
{txt}c_intomn_e~r {c |}{col 14}{res}{space 2} .0036523{col 26}{space 2} .0066653{col 37}{space 1}    0.55{col 46}{space 3}0.584{col 54}{space 4}-.0094537{col 67}{space 3} .0167583
{txt}c_intomn_b.. {c |}{col 14}{res}{space 2}-.0333107{col 26}{space 2} .0376809{col 37}{space 1}   -0.88{col 46}{space 3}0.377{col 54}{space 4} -.107403{col 67}{space 3} .0407817
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} .0227189{col 26}{space 2} .0501463{col 37}{space 1}    0.45{col 46}{space 3}0.651{col 54}{space 4}-.0758843{col 67}{space 3} .1213221
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}infomn - intomn = 0{p_end}

{txt}       F(  1,   375) ={res}    0.03
{txt}{col 13}Prob > F ={res}    0.8638

{txt}added scalar:
             e(f_wald) =  {res}.86380682

{p 0 7}{space 1}{text:( 1)}{space 1}{space 1}{res}- fullomn + infomn = 0{p_end}

{txt}       F(  1,   375) ={res}    5.14
{txt}{col 13}Prob > F ={res}    0.0239

{txt}added scalar:
            e(f_wald1) =  {res}.0238944

{p 0 7}{space 1}{text:( 1)}{space 1}{space 1}{res}- fullomn + intomn = 0{p_end}

{txt}       F(  1,   375) ={res}    4.27
{txt}{col 13}Prob > F ={res}    0.0394

{txt}added scalar:
            e(f_wald2) =  {res}.03938226

{p 0 7}{space 1}{text:( 1)}{space 1} fullomn = 0{p_end}
{p 0 7}{space 1}{text:( 2)}{space 1} infomn = 0{p_end}
{p 0 7}{space 1}{text:( 3)}{space 1} intomn = 0{p_end}

{txt}       F(  3,   375) ={res}    3.92
{txt}{col 13}Prob > F ={res}    0.0089

{txt}added scalar:
                e(f_3) =  {res}3.9185747

{txt}added scalar:
            e(f_wald3) =  {res}.00892564
{txt}
{com}.                 
.                 
.         local y = 4
{txt}
{com}.         
.         foreach x in `commmonitoring_nobaseline' {c -(}
{txt}  2{com}.                 areg  e_`x' fullomn infomn intomn `fullomn_int_e_controls' `e_controls' `infomn_int_e_controls' `intomn_int_e_controls', robust cl(hc_id) a(district)
{txt}  3{com}.                 
.                 test infomn = intomn
{txt}  4{com}.                 estadd scalar f_wald = r(p)
{txt}  5{com}.                 
.                 test infomn = fullomn
{txt}  6{com}.                 estadd scalar f_wald1 = r(p)
{txt}  7{com}.                 
.                 test intomn = fullomn
{txt}  8{com}.                 estadd scalar f_wald2 = r(p)
{txt}  9{com}.                 
.                 test fullomn infomn intomn
{txt} 10{com}.                 estadd scalar f_3 = r(F)
{txt} 11{com}.                 estadd scalar f_wald3 = r(p)
{txt} 12{com}.                 
.                 estimates store m`y'
{txt} 13{com}.         
.                 local y = `y' + 1
{txt} 14{com}.                 {c )-}

{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}    14,609
{txt}{col 49}F({res}  24{txt},{res}    375{txt}){col 67}= {res}      3.39
{txt}{col 49}Prob > F{col 67}= {res}    0.0000
{txt}{col 49}R-squared{col 67}= {res}    0.0334
{txt}{col 49}Adj R-squared{col 67}= {res}    0.0309
{txt}{col 49}Root MSE{col 67}= {res}    0.9848

{txt}{ralign 78:(Std. Err. adjusted for {res:376} clusters in hc_id)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}e_find_rep~z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 5}fullomn {c |}{col 14}{res}{space 2}-.0088428{col 26}{space 2} .0340076{col 37}{space 1}   -0.26{col 46}{space 3}0.795{col 54}{space 4}-.0757123{col 67}{space 3} .0580266
{txt}{space 6}infomn {c |}{col 14}{res}{space 2}-.0092209{col 26}{space 2} .0363031{col 37}{space 1}   -0.25{col 46}{space 3}0.800{col 54}{space 4} -.080604{col 67}{space 3} .0621623
{txt}{space 6}intomn {c |}{col 14}{res}{space 2} -.019431{col 26}{space 2} .0327416{col 37}{space 1}   -0.59{col 46}{space 3}0.553{col 54}{space 4}-.0838111{col 67}{space 3} .0449492
{txt}c_full~n_hc2 {c |}{col 14}{res}{space 2} .2054799{col 26}{space 2} .0504158{col 37}{space 1}    4.08{col 46}{space 3}0.000{col 54}{space 4} .1063468{col 67}{space 3} .3046129
{txt}c_fullomn_.. {c |}{col 14}{res}{space 2}   .01358{col 26}{space 2} .0555346{col 37}{space 1}    0.24{col 46}{space 3}0.807{col 54}{space 4}-.0956183{col 67}{space 3} .1227783
{txt}c_fullomn_.. {c |}{col 14}{res}{space 2} .0208879{col 26}{space 2} .0661707{col 37}{space 1}    0.32{col 46}{space 3}0.752{col 54}{space 4}-.1092243{col 67}{space 3} .1510001
{txt}c_fullomn_.. {c |}{col 14}{res}{space 2}  .036502{col 26}{space 2} .0897181{col 37}{space 1}    0.41{col 46}{space 3}0.684{col 54}{space 4}-.1399117{col 67}{space 3} .2129157
{txt}c_f~n_educyr {c |}{col 14}{res}{space 2} .0125754{col 26}{space 2} .0059701{col 37}{space 1}    2.11{col 46}{space 3}0.036{col 54}{space 4} .0008364{col 67}{space 3} .0243144
{txt}c_fullomn_.. {c |}{col 14}{res}{space 2} .0013312{col 26}{space 2}  .027592{col 37}{space 1}    0.05{col 46}{space 3}0.962{col 54}{space 4}-.0529233{col 67}{space 3} .0555856
{txt}c_b_visite~d {c |}{col 14}{res}{space 2} .1312252{col 26}{space 2} .0632644{col 37}{space 1}    2.07{col 46}{space 3}0.039{col 54}{space 4} .0068278{col 67}{space 3} .2556226
{txt}{space 4}c_educyr {c |}{col 14}{res}{space 2}-.0001974{col 26}{space 2} .0041279{col 37}{space 1}   -0.05{col 46}{space 3}0.962{col 54}{space 4}-.0083142{col 67}{space 3} .0079194
{txt}c_b_asseti~x {c |}{col 14}{res}{space 2} .0199951{col 26}{space 2} .0191029{col 37}{space 1}    1.05{col 46}{space 3}0.296{col 54}{space 4}-.0175671{col 67}{space 3} .0575574
{txt}c_infomn_hc2 {c |}{col 14}{res}{space 2} .2041325{col 26}{space 2} .0644855{col 37}{space 1}    3.17{col 46}{space 3}0.002{col 54}{space 4}  .077334{col 67}{space 3}  .330931
{txt}c_infomn_b~l {c |}{col 14}{res}{space 2} .0501877{col 26}{space 2} .0665002{col 37}{space 1}    0.75{col 46}{space 3}0.451{col 54}{space 4}-.0805724{col 67}{space 3} .1809477
{txt}c_infomn_b~s {c |}{col 14}{res}{space 2} .0222185{col 26}{space 2} .0769322{col 37}{space 1}    0.29{col 46}{space 3}0.773{col 54}{space 4}-.1290541{col 67}{space 3} .1734912
{txt}c_infomn_b.. {c |}{col 14}{res}{space 2} .0215533{col 26}{space 2} .0949043{col 37}{space 1}    0.23{col 46}{space 3}0.820{col 54}{space 4}-.1650579{col 67}{space 3} .2081645
{txt}c_infomn_e~r {c |}{col 14}{res}{space 2} .0044547{col 26}{space 2} .0057378{col 37}{space 1}    0.78{col 46}{space 3}0.438{col 54}{space 4}-.0068275{col 67}{space 3} .0157369
{txt}c_infomn_b.. {c |}{col 14}{res}{space 2}-.0149402{col 26}{space 2} .0271126{col 37}{space 1}   -0.55{col 46}{space 3}0.582{col 54}{space 4} -.068252{col 67}{space 3} .0383716
{txt}c_intomn_hc2 {c |}{col 14}{res}{space 2} .1376941{col 26}{space 2} .0550802{col 37}{space 1}    2.50{col 46}{space 3}0.013{col 54}{space 4} .0293894{col 67}{space 3} .2459988
{txt}c_intomn_b~l {c |}{col 14}{res}{space 2}-.0210274{col 26}{space 2} .0531165{col 37}{space 1}   -0.40{col 46}{space 3}0.692{col 54}{space 4} -.125471{col 67}{space 3} .0834162
{txt}c_intomn_b~s {c |}{col 14}{res}{space 2}-.0309073{col 26}{space 2} .0560784{col 37}{space 1}   -0.55{col 46}{space 3}0.582{col 54}{space 4}-.1411747{col 67}{space 3} .0793602
{txt}c_intomn_b.. {c |}{col 14}{res}{space 2} .0052894{col 26}{space 2} .0986929{col 37}{space 1}    0.05{col 46}{space 3}0.957{col 54}{space 4}-.1887714{col 67}{space 3} .1993502
{txt}c_intomn_e~r {c |}{col 14}{res}{space 2}-.0001318{col 26}{space 2}  .005622{col 37}{space 1}   -0.02{col 46}{space 3}0.981{col 54}{space 4}-.0111864{col 67}{space 3} .0109228
{txt}c_intomn_b.. {c |}{col 14}{res}{space 2} .0244779{col 26}{space 2} .0248302{col 37}{space 1}    0.99{col 46}{space 3}0.325{col 54}{space 4}-.0243459{col 67}{space 3} .0733018
{txt}{space 7}_cons {c |}{col 14}{res}{space 2}  .007977{col 26}{space 2} .0250817{col 37}{space 1}    0.32{col 46}{space 3}0.751{col 54}{space 4}-.0413414{col 67}{space 3} .0572953
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}infomn - intomn = 0{p_end}

{txt}       F(  1,   375) ={res}    0.09
{txt}{col 13}Prob > F ={res}    0.7600

{txt}added scalar:
             e(f_wald) =  {res}.75999468

{p 0 7}{space 1}{text:( 1)}{space 1}{space 1}{res}- fullomn + infomn = 0{p_end}

{txt}       F(  1,   375) ={res}    0.00
{txt}{col 13}Prob > F ={res}    0.9912

{txt}added scalar:
            e(f_wald1) =  {res}.99123005

{p 0 7}{space 1}{text:( 1)}{space 1}{space 1}{res}- fullomn + intomn = 0{p_end}

{txt}       F(  1,   375) ={res}    0.12
{txt}{col 13}Prob > F ={res}    0.7328

{txt}added scalar:
            e(f_wald2) =  {res}.7328279

{p 0 7}{space 1}{text:( 1)}{space 1} fullomn = 0{p_end}
{p 0 7}{space 1}{text:( 2)}{space 1} infomn = 0{p_end}
{p 0 7}{space 1}{text:( 3)}{space 1} intomn = 0{p_end}

{txt}       F(  3,   375) ={res}    0.12
{txt}{col 13}Prob > F ={res}    0.9476

{txt}added scalar:
                e(f_3) =  {res}.12118037

{txt}added scalar:
            e(f_wald3) =  {res}.94760491

{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}    14,609
{txt}{col 49}F({res}  24{txt},{res}    375{txt}){col 67}= {res}      2.24
{txt}{col 49}Prob > F{col 67}= {res}    0.0009
{txt}{col 49}R-squared{col 67}= {res}    0.0257
{txt}{col 49}Adj R-squared{col 67}= {res}    0.0231
{txt}{col 49}Root MSE{col 67}= {res}    1.0023

{txt}{ralign 78:(Std. Err. adjusted for {res:376} clusters in hc_id)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}e_find_eff~z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 5}fullomn {c |}{col 14}{res}{space 2}-.0483588{col 26}{space 2} .0283582{col 37}{space 1}   -1.71{col 46}{space 3}0.089{col 54}{space 4}-.1041198{col 67}{space 3} .0074021
{txt}{space 6}infomn {c |}{col 14}{res}{space 2}-.0282838{col 26}{space 2} .0318002{col 37}{space 1}   -0.89{col 46}{space 3}0.374{col 54}{space 4}-.0908127{col 67}{space 3} .0342452
{txt}{space 6}intomn {c |}{col 14}{res}{space 2}-.0340462{col 26}{space 2} .0297475{col 37}{space 1}   -1.14{col 46}{space 3}0.253{col 54}{space 4}-.0925391{col 67}{space 3} .0244467
{txt}c_full~n_hc2 {c |}{col 14}{res}{space 2} .0897622{col 26}{space 2} .0449726{col 37}{space 1}    2.00{col 46}{space 3}0.047{col 54}{space 4}  .001332{col 67}{space 3} .1781923
{txt}c_fullomn_.. {c |}{col 14}{res}{space 2}-.0014595{col 26}{space 2} .0484192{col 37}{space 1}   -0.03{col 46}{space 3}0.976{col 54}{space 4}-.0966667{col 67}{space 3} .0937477
{txt}c_fullomn_.. {c |}{col 14}{res}{space 2} .0390654{col 26}{space 2} .0606587{col 37}{space 1}    0.64{col 46}{space 3}0.520{col 54}{space 4}-.0802084{col 67}{space 3} .1583392
{txt}c_fullomn_.. {c |}{col 14}{res}{space 2} -.035533{col 26}{space 2} .1081127{col 37}{space 1}   -0.33{col 46}{space 3}0.743{col 54}{space 4}-.2481161{col 67}{space 3} .1770501
{txt}c_f~n_educyr {c |}{col 14}{res}{space 2} .0025228{col 26}{space 2} .0060151{col 37}{space 1}    0.42{col 46}{space 3}0.675{col 54}{space 4}-.0093049{col 67}{space 3} .0143504
{txt}c_fullomn_.. {c |}{col 14}{res}{space 2}-.0126609{col 26}{space 2} .0275819{col 37}{space 1}   -0.46{col 46}{space 3}0.646{col 54}{space 4}-.0668954{col 67}{space 3} .0415736
{txt}c_b_visite~d {c |}{col 14}{res}{space 2} .1867911{col 26}{space 2} .0699149{col 37}{space 1}    2.67{col 46}{space 3}0.008{col 54}{space 4} .0493168{col 67}{space 3} .3242655
{txt}{space 4}c_educyr {c |}{col 14}{res}{space 2} .0035174{col 26}{space 2} .0039568{col 37}{space 1}    0.89{col 46}{space 3}0.375{col 54}{space 4}-.0042628{col 67}{space 3} .0112977
{txt}c_b_asseti~x {c |}{col 14}{res}{space 2} .0232283{col 26}{space 2} .0183149{col 37}{space 1}    1.27{col 46}{space 3}0.205{col 54}{space 4}-.0127845{col 67}{space 3} .0592411
{txt}c_infomn_hc2 {c |}{col 14}{res}{space 2} .0635014{col 26}{space 2} .0653414{col 37}{space 1}    0.97{col 46}{space 3}0.332{col 54}{space 4}-.0649802{col 67}{space 3} .1919829
{txt}c_infomn_b~l {c |}{col 14}{res}{space 2} .0391769{col 26}{space 2} .0673219{col 37}{space 1}    0.58{col 46}{space 3}0.561{col 54}{space 4}-.0931989{col 67}{space 3} .1715527
{txt}c_infomn_b~s {c |}{col 14}{res}{space 2} .0715505{col 26}{space 2} .0767547{col 37}{space 1}    0.93{col 46}{space 3}0.352{col 54}{space 4}-.0793731{col 67}{space 3} .2224741
{txt}c_infomn_b.. {c |}{col 14}{res}{space 2}-.0519463{col 26}{space 2}  .109133{col 37}{space 1}   -0.48{col 46}{space 3}0.634{col 54}{space 4}-.2665356{col 67}{space 3}  .162643
{txt}c_infomn_e~r {c |}{col 14}{res}{space 2}-.0037052{col 26}{space 2} .0056144{col 37}{space 1}   -0.66{col 46}{space 3}0.510{col 54}{space 4}-.0147449{col 67}{space 3} .0073346
{txt}c_infomn_b.. {c |}{col 14}{res}{space 2} .0011784{col 26}{space 2} .0283677{col 37}{space 1}    0.04{col 46}{space 3}0.967{col 54}{space 4}-.0546014{col 67}{space 3} .0569582
{txt}c_intomn_hc2 {c |}{col 14}{res}{space 2} .0848672{col 26}{space 2} .0631416{col 37}{space 1}    1.34{col 46}{space 3}0.180{col 54}{space 4}-.0392889{col 67}{space 3} .2090232
{txt}c_intomn_b~l {c |}{col 14}{res}{space 2}-.0279933{col 26}{space 2} .0615806{col 37}{space 1}   -0.45{col 46}{space 3}0.650{col 54}{space 4}  -.14908{col 67}{space 3} .0930933
{txt}c_intomn_b~s {c |}{col 14}{res}{space 2}-.0455314{col 26}{space 2} .0556266{col 37}{space 1}   -0.82{col 46}{space 3}0.414{col 54}{space 4}-.1549105{col 67}{space 3} .0638477
{txt}c_intomn_b.. {c |}{col 14}{res}{space 2}-.0583938{col 26}{space 2} .1089539{col 37}{space 1}   -0.54{col 46}{space 3}0.592{col 54}{space 4}-.2726309{col 67}{space 3} .1558432
{txt}c_intomn_e~r {c |}{col 14}{res}{space 2} .0042462{col 26}{space 2} .0057095{col 37}{space 1}    0.74{col 46}{space 3}0.458{col 54}{space 4}-.0069804{col 67}{space 3} .0154728
{txt}c_intomn_b.. {c |}{col 14}{res}{space 2} .0268219{col 26}{space 2} .0239748{col 37}{space 1}    1.12{col 46}{space 3}0.264{col 54}{space 4}  -.02032{col 67}{space 3} .0739638
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} .0068917{col 26}{space 2} .0194485{col 37}{space 1}    0.35{col 46}{space 3}0.723{col 54}{space 4}  -.03135{col 67}{space 3} .0451334
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}infomn - intomn = 0{p_end}

{txt}       F(  1,   375) ={res}    0.03
{txt}{col 13}Prob > F ={res}    0.8649

{txt}added scalar:
             e(f_wald) =  {res}.86493036

{p 0 7}{space 1}{text:( 1)}{space 1}{space 1}{res}- fullomn + infomn = 0{p_end}

{txt}       F(  1,   375) ={res}    0.38
{txt}{col 13}Prob > F ={res}    0.5374

{txt}added scalar:
            e(f_wald1) =  {res}.53740741

{p 0 7}{space 1}{text:( 1)}{space 1}{space 1}{res}- fullomn + intomn = 0{p_end}

{txt}       F(  1,   375) ={res}    0.22
{txt}{col 13}Prob > F ={res}    0.6401

{txt}added scalar:
            e(f_wald2) =  {res}.64005506

{p 0 7}{space 1}{text:( 1)}{space 1} fullomn = 0{p_end}
{p 0 7}{space 1}{text:( 2)}{space 1} infomn = 0{p_end}
{p 0 7}{space 1}{text:( 3)}{space 1} intomn = 0{p_end}

{txt}       F(  3,   375) ={res}    1.03
{txt}{col 13}Prob > F ={res}    0.3781

{txt}added scalar:
                e(f_3) =  {res}1.0326118

{txt}added scalar:
            e(f_wald3) =  {res}.37807332
{txt}
{com}. 
.         # delimit;
{txt}delimiter now ;
{com}.                 esttab m1 m2 m3 m4 m5
>         using "${c -(}tables{c )-}/TableI38.tex", b(%5.3f) se(%5.3f)
>                 title(Citizen monitoring index -- All treatment arms)
>                 keep(fullomn infomn intomn _cons)
>                 varlabels (fullomn "Full treatment" infomn "Information and mobilization only" intomn "Interface only" _cons "Constant")
>                 starlevels(* .10 ** .05 *** .01)                
>                 mtitles("\textbf{c -(}\begin{c -(}tabular{c )-}[c]{c -(}@{c -(}{c )-}c@{c -(}{c )-}{c )-}Citizen\\monitoring\\index\end{c -(}tabular{c )-}{c )-}"
>                                 "\begin{c -(}tabular{c )-}[c]{c -(}@{c -(}{c )-}c@{c -(}{c )-}{c )-}Attended\\LC1 meetings\end{c -(}tabular{c )-}"
>                                 "\begin{c -(}tabular{c )-}[c]{c -(}@{c -(}{c )-}c@{c -(}{c )-}{c )-}HC discussed\\at LC1 meetings\end{c -(}tabular{c )-}"
>                                 "\begin{c -(}tabular{c )-}[c]{c -(}@{c -(}{c )-}c@{c -(}{c )-}{c )-}Community\\would find out:\\staff late\end{c -(}tabular{c )-}"
>                                 "\begin{c -(}tabular{c )-}[c]{c -(}@{c -(}{c )-}c@{c -(}{c )-}{c )-}Community\\would find out:\\staff no effort\end{c -(}tabular{c )-}")
>                 stats(N r2 f_wald f_wald1 f_wald2 hline f_3 f_wald3, labels("N" "R$^{c -(}2{c )-}$" "P-value (Information and mobilization = Interface)" "P-value (Information and mobilization = Full treatment)" "P-value (Interface = Full treatment)" "\hline" "F-test (joint significance of all 3 treatment groups)" "P-value (joint significance of all 3 treatment groups)") fmt(%9.0fc %9.3fc)) label booktabs nonotes replace
>         
>         ;
{res}{txt}(output written to {browse  `"/Users/fredericcochinard/Dropbox/ACT_Health_JOP_replication_file/3.Tables and Figures/Tables/TableI38.tex"'})

{com}.                 # delimit cr
{txt}delimiter now cr
{com}.         
.         ********************************************************************
.         * Table I39: Perceived citizen pressure index – All treatment arms *
.         ********************************************************************
.         
.         * We work on the coefficient plot for the utilization indice
.         
.         use "${c -(}usedata{c )-}/chp_el_light_dataset.dta", clear
{txt}
{com}.         
.         * At endline:
.         
.         eststo clear
{txt}
{com}.         
.         local y = 1
{txt}
{com}.         foreach x in `ctzpressure_z' {c -(}
{txt}  2{com}.                 areg  e_`x' fullomn infomn intomn b_`x' `fullomn_hc_int_e_controls' `e_controls_hc' `infomn_hc_int_e_controls' `intomn_hc_int_e_controls' if uniquehc == 1 , robust a(district)
{txt}  3{com}.                 
.                 test infomn = intomn
{txt}  4{com}.                 estadd scalar f_wald = r(p)
{txt}  5{com}.                 
.                 test infomn = fullomn
{txt}  6{com}.                 estadd scalar f_wald1 = r(p)
{txt}  7{com}.                 
.                 test intomn = fullomn
{txt}  8{com}.                 estadd scalar f_wald2 = r(p)
{txt}  9{com}.                 
.                 test fullomn infomn intomn
{txt} 10{com}.                 estadd scalar f_3 = r(F)
{txt} 11{com}.                 estadd scalar f_wald3 = r(p)
{txt} 12{com}.                 
.                 estimates store m`y'
{txt} 13{com}.                 
.                 local y = `y' + 1
{txt} 14{com}.                 {c )-}
{res}
{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}       376
{txt}{col 49}F({res}  28{txt},{res}    332{txt}){col 67}= {res}      1.01
{txt}{col 49}Prob > F{col 67}= {res}    0.4588
{txt}{col 49}R-squared{col 67}= {res}    0.1091
{txt}{col 49}Adj R-squared{col 67}= {res}   -0.0063
{txt}{col 49}Root MSE{col 67}= {res}    0.6510

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}e_h_ctzpre~z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 5}fullomn {c |}{col 14}{res}{space 2}-.1356138{col 26}{space 2} .1014507{col 37}{space 1}   -1.34{col 46}{space 3}0.182{col 54}{space 4} -.335181{col 67}{space 3} .0639535
{txt}{space 6}infomn {c |}{col 14}{res}{space 2}-.0435518{col 26}{space 2} .0923055{col 37}{space 1}   -0.47{col 46}{space 3}0.637{col 54}{space 4}-.2251292{col 67}{space 3} .1380255
{txt}{space 6}intomn {c |}{col 14}{res}{space 2} -.015219{col 26}{space 2} .0873737{col 37}{space 1}   -0.17{col 46}{space 3}0.862{col 54}{space 4}-.1870949{col 67}{space 3} .1566569
{txt}b_h_ctzpre~z {c |}{col 14}{res}{space 2} .0378187{col 26}{space 2} .0548235{col 37}{space 1}    0.69{col 46}{space 3}0.491{col 54}{space 4}-.0700265{col 67}{space 3} .1456639
{txt}c_full~c_hc2 {c |}{col 14}{res}{space 2} .0832466{col 26}{space 2} .2497048{col 37}{space 1}    0.33{col 46}{space 3}0.739{col 54}{space 4}-.4079565{col 67}{space 3} .5744497
{txt}c_fullomn_.. {c |}{col 14}{res}{space 2}-.0811367{col 26}{space 2} .2334904{col 37}{space 1}   -0.35{col 46}{space 3}0.728{col 54}{space 4}-.5404437{col 67}{space 3} .3781704
{txt}c_fullomn_.. {c |}{col 14}{res}{space 2}-.6070233{col 26}{space 2} .2683203{col 37}{space 1}   -2.26{col 46}{space 3}0.024{col 54}{space 4}-1.134846{col 67}{space 3} -.079201
{txt}c_fullomn_.. {c |}{col 14}{res}{space 2} .7384929{col 26}{space 2} .9904203{col 37}{space 1}    0.75{col 46}{space 3}0.456{col 54}{space 4}-1.209798{col 67}{space 3} 2.686783
{txt}c_f~c_educyr {c |}{col 14}{res}{space 2} .1205519{col 26}{space 2} .1137899{col 37}{space 1}    1.06{col 46}{space 3}0.290{col 54}{space 4}-.1032882{col 67}{space 3}  .344392
{txt}c_fullomn_.. {c |}{col 14}{res}{space 2}  .022482{col 26}{space 2} .2603697{col 37}{space 1}    0.09{col 46}{space 3}0.931{col 54}{space 4}-.4897003{col 67}{space 3} .5346643
{txt}{space 4}c_hc_hc2 {c |}{col 14}{res}{space 2}-.1367315{col 26}{space 2} .1425431{col 37}{space 1}   -0.96{col 46}{space 3}0.338{col 54}{space 4}-.4171331{col 67}{space 3}   .14367
{txt}c_hc_b_h_del {c |}{col 14}{res}{space 2}-.0328427{col 26}{space 2} .1645482{col 37}{space 1}   -0.20{col 46}{space 3}0.842{col 54}{space 4}-.3565311{col 67}{space 3} .2908458
{txt}c_hc_b_h_s~s {c |}{col 14}{res}{space 2} .6295355{col 26}{space 2} .2308428{col 37}{space 1}    2.73{col 46}{space 3}0.007{col 54}{space 4} .1754366{col 67}{space 3} 1.083634
{txt}c_hc_b_vis~d {c |}{col 14}{res}{space 2}-.5593598{col 26}{space 2} .5080624{col 37}{space 1}   -1.10{col 46}{space 3}0.272{col 54}{space 4}-1.558787{col 67}{space 3} .4400675
{txt}{space 1}c_hc_educyr {c |}{col 14}{res}{space 2}-.0196302{col 26}{space 2} .0768873{col 37}{space 1}   -0.26{col 46}{space 3}0.799{col 54}{space 4} -.170878{col 67}{space 3} .1316176
{txt}c_hc_b_ass~x {c |}{col 14}{res}{space 2}-.2118619{col 26}{space 2}  .200044{col 37}{space 1}   -1.06{col 46}{space 3}0.290{col 54}{space 4}-.6053755{col 67}{space 3} .1816517
{txt}c_info~c_hc2 {c |}{col 14}{res}{space 2}-.2137934{col 26}{space 2} .2058733{col 37}{space 1}   -1.04{col 46}{space 3}0.300{col 54}{space 4}-.6187739{col 67}{space 3} .1911871
{txt}c_infomn_h.. {c |}{col 14}{res}{space 2}-.0515221{col 26}{space 2} .2120913{col 37}{space 1}   -0.24{col 46}{space 3}0.808{col 54}{space 4}-.4687343{col 67}{space 3} .3656902
{txt}c_infomn_h.. {c |}{col 14}{res}{space 2}-.5408538{col 26}{space 2} .2959406{col 37}{space 1}   -1.83{col 46}{space 3}0.069{col 54}{space 4}-1.123009{col 67}{space 3} .0413014
{txt}c_infomn_h.. {c |}{col 14}{res}{space 2}-.3441557{col 26}{space 2} 1.071487{col 37}{space 1}   -0.32{col 46}{space 3}0.748{col 54}{space 4}-2.451915{col 67}{space 3} 1.763604
{txt}c_infomn_h.. {c |}{col 14}{res}{space 2} .0266376{col 26}{space 2} .1012218{col 37}{space 1}    0.26{col 46}{space 3}0.793{col 54}{space 4}-.1724794{col 67}{space 3} .2257546
{txt}c_infomn_h.. {c |}{col 14}{res}{space 2} -.060523{col 26}{space 2} .2781364{col 37}{space 1}   -0.22{col 46}{space 3}0.828{col 54}{space 4} -.607655{col 67}{space 3} .4866089
{txt}c_into~c_hc2 {c |}{col 14}{res}{space 2}  .270256{col 26}{space 2} .2112616{col 37}{space 1}    1.28{col 46}{space 3}0.202{col 54}{space 4} -.145324{col 67}{space 3}  .685836
{txt}c_intomn_h.. {c |}{col 14}{res}{space 2} .2238846{col 26}{space 2} .2213077{col 37}{space 1}    1.01{col 46}{space 3}0.312{col 54}{space 4}-.2114575{col 67}{space 3} .6592267
{txt}c_intomn_h.. {c |}{col 14}{res}{space 2}-.5723779{col 26}{space 2} .2586099{col 37}{space 1}   -2.21{col 46}{space 3}0.028{col 54}{space 4}-1.081098{col 67}{space 3}-.0636574
{txt}c_intomn_h.. {c |}{col 14}{res}{space 2} .0589652{col 26}{space 2} .9454071{col 37}{space 1}    0.06{col 46}{space 3}0.950{col 54}{space 4}-1.800778{col 67}{space 3} 1.918709
{txt}c_intomn_h.. {c |}{col 14}{res}{space 2} .1398191{col 26}{space 2} .0996845{col 37}{space 1}    1.40{col 46}{space 3}0.162{col 54}{space 4}-.0562738{col 67}{space 3}  .335912
{txt}c_intomn_h.. {c |}{col 14}{res}{space 2}-.1024896{col 26}{space 2} .2420336{col 37}{space 1}   -0.42{col 46}{space 3}0.672{col 54}{space 4}-.5786024{col 67}{space 3} .3736233
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} .0063349{col 26}{space 2} .0626023{col 37}{space 1}    0.10{col 46}{space 3}0.919{col 54}{space 4}-.1168124{col 67}{space 3} .1294821
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}infomn - intomn = 0{p_end}

{txt}       F(  1,   332) ={res}    0.10
{txt}{col 13}Prob > F ={res}    0.7538

{txt}added scalar:
             e(f_wald) =  {res}.75380532

{p 0 7}{space 1}{text:( 1)}{space 1}{space 1}{res}- fullomn + infomn = 0{p_end}

{txt}       F(  1,   332) ={res}    0.76
{txt}{col 13}Prob > F ={res}    0.3853

{txt}added scalar:
            e(f_wald1) =  {res}.38532204

{p 0 7}{space 1}{text:( 1)}{space 1}{space 1}{res}- fullomn + intomn = 0{p_end}

{txt}       F(  1,   332) ={res}    1.38
{txt}{col 13}Prob > F ={res}    0.2413

{txt}added scalar:
            e(f_wald2) =  {res}.24126385

{p 0 7}{space 1}{text:( 1)}{space 1} fullomn = 0{p_end}
{p 0 7}{space 1}{text:( 2)}{space 1} infomn = 0{p_end}
{p 0 7}{space 1}{text:( 3)}{space 1} intomn = 0{p_end}

{txt}       F(  3,   332) ={res}    0.66
{txt}{col 13}Prob > F ={res}    0.5781

{txt}added scalar:
                e(f_3) =  {res}.65848167

{txt}added scalar:
            e(f_wald3) =  {res}.5781231

{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}       376
{txt}{col 49}F({res}  28{txt},{res}    332{txt}){col 67}= {res}      0.75
{txt}{col 49}Prob > F{col 67}= {res}    0.8243
{txt}{col 49}R-squared{col 67}= {res}    0.1177
{txt}{col 49}Adj R-squared{col 67}= {res}    0.0034
{txt}{col 49}Root MSE{col 67}= {res}    1.0174

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1} e_h_wrong_z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 5}fullomn {c |}{col 14}{res}{space 2}-.1017404{col 26}{space 2} .1545143{col 37}{space 1}   -0.66{col 46}{space 3}0.511{col 54}{space 4}-.4056908{col 67}{space 3}   .20221
{txt}{space 6}infomn {c |}{col 14}{res}{space 2} .0149353{col 26}{space 2} .1462838{col 37}{space 1}    0.10{col 46}{space 3}0.919{col 54}{space 4}-.2728247{col 67}{space 3} .3026953
{txt}{space 6}intomn {c |}{col 14}{res}{space 2}-.0725939{col 26}{space 2} .1509282{col 37}{space 1}   -0.48{col 46}{space 3}0.631{col 54}{space 4}-.3694899{col 67}{space 3} .2243022
{txt}{space 1}b_h_wrong_z {c |}{col 14}{res}{space 2}-.0148188{col 26}{space 2} .0726551{col 37}{space 1}   -0.20{col 46}{space 3}0.839{col 54}{space 4}-.1577412{col 67}{space 3} .1281035
{txt}c_full~c_hc2 {c |}{col 14}{res}{space 2} .4552848{col 26}{space 2}  .364405{col 37}{space 1}    1.25{col 46}{space 3}0.212{col 54}{space 4} -.261549{col 67}{space 3} 1.172119
{txt}c_fullomn_.. {c |}{col 14}{res}{space 2} .1136368{col 26}{space 2} .3213928{col 37}{space 1}    0.35{col 46}{space 3}0.724{col 54}{space 4}-.5185862{col 67}{space 3} .7458599
{txt}c_fullomn_.. {c |}{col 14}{res}{space 2}-.5144093{col 26}{space 2} .3543833{col 37}{space 1}   -1.45{col 46}{space 3}0.148{col 54}{space 4}-1.211529{col 67}{space 3} .1827106
{txt}c_fullomn_.. {c |}{col 14}{res}{space 2} .9228342{col 26}{space 2}  1.41654{col 37}{space 1}    0.65{col 46}{space 3}0.515{col 54}{space 4}-1.863692{col 67}{space 3}  3.70936
{txt}c_f~c_educyr {c |}{col 14}{res}{space 2} .1343218{col 26}{space 2} .1533168{col 37}{space 1}    0.88{col 46}{space 3}0.382{col 54}{space 4}-.1672731{col 67}{space 3} .4359167
{txt}c_fullomn_.. {c |}{col 14}{res}{space 2} .0226164{col 26}{space 2}  .387224{col 37}{space 1}    0.06{col 46}{space 3}0.953{col 54}{space 4}-.7391056{col 67}{space 3} .7843383
{txt}{space 4}c_hc_hc2 {c |}{col 14}{res}{space 2}-.2015823{col 26}{space 2} .2183379{col 37}{space 1}   -0.92{col 46}{space 3}0.357{col 54}{space 4}-.6310824{col 67}{space 3} .2279178
{txt}c_hc_b_h_del {c |}{col 14}{res}{space 2}-.2884898{col 26}{space 2} .2769569{col 37}{space 1}   -1.04{col 46}{space 3}0.298{col 54}{space 4}-.8333014{col 67}{space 3} .2563219
{txt}c_hc_b_h_s~s {c |}{col 14}{res}{space 2} .7489746{col 26}{space 2} .3717449{col 37}{space 1}    2.01{col 46}{space 3}0.045{col 54}{space 4} .0177022{col 67}{space 3} 1.480247
{txt}c_hc_b_vis~d {c |}{col 14}{res}{space 2}-.9319499{col 26}{space 2} .7125062{col 37}{space 1}   -1.31{col 46}{space 3}0.192{col 54}{space 4}-2.333546{col 67}{space 3} .4696461
{txt}{space 1}c_hc_educyr {c |}{col 14}{res}{space 2} -.098235{col 26}{space 2} .1283613{col 37}{space 1}   -0.77{col 46}{space 3}0.445{col 54}{space 4} -.350739{col 67}{space 3}  .154269
{txt}c_hc_b_ass~x {c |}{col 14}{res}{space 2}-.4054673{col 26}{space 2} .3317089{col 37}{space 1}   -1.22{col 46}{space 3}0.222{col 54}{space 4}-1.057984{col 67}{space 3} .2470489
{txt}c_info~c_hc2 {c |}{col 14}{res}{space 2}-.1975841{col 26}{space 2} .3392775{col 37}{space 1}   -0.58{col 46}{space 3}0.561{col 54}{space 4}-.8649889{col 67}{space 3} .4698206
{txt}c_infomn_h.. {c |}{col 14}{res}{space 2} .1677626{col 26}{space 2} .3465527{col 37}{space 1}    0.48{col 46}{space 3}0.629{col 54}{space 4}-.5139535{col 67}{space 3} .8494787
{txt}c_infomn_h.. {c |}{col 14}{res}{space 2}-.4489992{col 26}{space 2} .4530978{col 37}{space 1}   -0.99{col 46}{space 3}0.322{col 54}{space 4}-1.340304{col 67}{space 3} .4423053
{txt}c_infomn_h.. {c |}{col 14}{res}{space 2}-2.783704{col 26}{space 2} 1.610504{col 37}{space 1}   -1.73{col 46}{space 3}0.085{col 54}{space 4}-5.951782{col 67}{space 3} .3843747
{txt}c_infomn_h.. {c |}{col 14}{res}{space 2} .1121815{col 26}{space 2} .1656741{col 37}{space 1}    0.68{col 46}{space 3}0.499{col 54}{space 4}-.2137218{col 67}{space 3} .4380847
{txt}c_infomn_h.. {c |}{col 14}{res}{space 2}-.3297033{col 26}{space 2}  .447884{col 37}{space 1}   -0.74{col 46}{space 3}0.462{col 54}{space 4}-1.210752{col 67}{space 3}  .551345
{txt}c_into~c_hc2 {c |}{col 14}{res}{space 2} .3521612{col 26}{space 2} .3479119{col 37}{space 1}    1.01{col 46}{space 3}0.312{col 54}{space 4}-.3322285{col 67}{space 3} 1.036551
{txt}c_intomn_h.. {c |}{col 14}{res}{space 2} .4301473{col 26}{space 2} .3873593{col 37}{space 1}    1.11{col 46}{space 3}0.268{col 54}{space 4}-.3318408{col 67}{space 3} 1.192135
{txt}c_intomn_h.. {c |}{col 14}{res}{space 2}-.7464898{col 26}{space 2} .4194683{col 37}{space 1}   -1.78{col 46}{space 3}0.076{col 54}{space 4}-1.571641{col 67}{space 3} .0786609
{txt}c_intomn_h.. {c |}{col 14}{res}{space 2} 1.002636{col 26}{space 2} 1.715949{col 37}{space 1}    0.58{col 46}{space 3}0.559{col 54}{space 4}-2.372868{col 67}{space 3} 4.378141
{txt}c_intomn_h.. {c |}{col 14}{res}{space 2} .3175336{col 26}{space 2} .1692711{col 37}{space 1}    1.88{col 46}{space 3}0.062{col 54}{space 4}-.0154454{col 67}{space 3} .6505126
{txt}c_intomn_h.. {c |}{col 14}{res}{space 2}-.2061933{col 26}{space 2} .3864085{col 37}{space 1}   -0.53{col 46}{space 3}0.594{col 54}{space 4} -.966311{col 67}{space 3} .5539243
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} .0316016{col 26}{space 2} .1038793{col 37}{space 1}    0.30{col 46}{space 3}0.761{col 54}{space 4}-.1727431{col 67}{space 3} .2359463
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}infomn - intomn = 0{p_end}

{txt}       F(  1,   332) ={res}    0.33
{txt}{col 13}Prob > F ={res}    0.5644

{txt}added scalar:
             e(f_wald) =  {res}.56443199

{p 0 7}{space 1}{text:( 1)}{space 1}{space 1}{res}- fullomn + infomn = 0{p_end}

{txt}       F(  1,   332) ={res}    0.55
{txt}{col 13}Prob > F ={res}    0.4584

{txt}added scalar:
            e(f_wald1) =  {res}.45841837

{p 0 7}{space 1}{text:( 1)}{space 1}{space 1}{res}- fullomn + intomn = 0{p_end}

{txt}       F(  1,   332) ={res}    0.03
{txt}{col 13}Prob > F ={res}    0.8556

{txt}added scalar:
            e(f_wald2) =  {res}.85556764

{p 0 7}{space 1}{text:( 1)}{space 1} fullomn = 0{p_end}
{p 0 7}{space 1}{text:( 2)}{space 1} infomn = 0{p_end}
{p 0 7}{space 1}{text:( 3)}{space 1} intomn = 0{p_end}

{txt}       F(  3,   332) ={res}    0.26
{txt}{col 13}Prob > F ={res}    0.8529

{txt}added scalar:
                e(f_3) =  {res}.26172677

{txt}added scalar:
            e(f_wald3) =  {res}.85294808

{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}       376
{txt}{col 49}F({res}  28{txt},{res}    332{txt}){col 67}= {res}      1.13
{txt}{col 49}Prob > F{col 67}= {res}    0.2987
{txt}{col 49}R-squared{col 67}= {res}    0.1166
{txt}{col 49}Adj R-squared{col 67}= {res}    0.0022
{txt}{col 49}Root MSE{col 67}= {res}    1.0633

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}e_h_pressu~z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 5}fullomn {c |}{col 14}{res}{space 2}-.3049452{col 26}{space 2} .1609885{col 37}{space 1}   -1.89{col 46}{space 3}0.059{col 54}{space 4}-.6216313{col 67}{space 3} .0117408
{txt}{space 6}infomn {c |}{col 14}{res}{space 2}-.0573257{col 26}{space 2} .1560895{col 37}{space 1}   -0.37{col 46}{space 3}0.714{col 54}{space 4}-.3643749{col 67}{space 3} .2497234
{txt}{space 6}intomn {c |}{col 14}{res}{space 2} .0450418{col 26}{space 2} .1466419{col 37}{space 1}    0.31{col 46}{space 3}0.759{col 54}{space 4}-.2434226{col 67}{space 3} .3335062
{txt}b_h_pressu~z {c |}{col 14}{res}{space 2} .0500899{col 26}{space 2}  .062077{col 37}{space 1}    0.81{col 46}{space 3}0.420{col 54}{space 4} -.072024{col 67}{space 3} .1722038
{txt}c_full~c_hc2 {c |}{col 14}{res}{space 2} .1589593{col 26}{space 2} .4369767{col 37}{space 1}    0.36{col 46}{space 3}0.716{col 54}{space 4}-.7006328{col 67}{space 3} 1.018551
{txt}c_fullomn_.. {c |}{col 14}{res}{space 2} .0480015{col 26}{space 2} .4394639{col 37}{space 1}    0.11{col 46}{space 3}0.913{col 54}{space 4}-.8164833{col 67}{space 3} .9124864
{txt}c_fullomn_.. {c |}{col 14}{res}{space 2}-.4434897{col 26}{space 2} .4571289{col 37}{space 1}   -0.97{col 46}{space 3}0.333{col 54}{space 4}-1.342724{col 67}{space 3} .4557445
{txt}c_fullomn_.. {c |}{col 14}{res}{space 2} 1.027283{col 26}{space 2} 1.883948{col 37}{space 1}    0.55{col 46}{space 3}0.586{col 54}{space 4}-2.678697{col 67}{space 3} 4.733263
{txt}c_f~c_educyr {c |}{col 14}{res}{space 2} .0555769{col 26}{space 2} .1757483{col 37}{space 1}    0.32{col 46}{space 3}0.752{col 54}{space 4}-.2901437{col 67}{space 3} .4012975
{txt}c_fullomn_.. {c |}{col 14}{res}{space 2} .5784255{col 26}{space 2} .4106781{col 37}{space 1}    1.41{col 46}{space 3}0.160{col 54}{space 4}-.2294337{col 67}{space 3} 1.386285
{txt}{space 4}c_hc_hc2 {c |}{col 14}{res}{space 2}-.2382403{col 26}{space 2} .3138905{col 37}{space 1}   -0.76{col 46}{space 3}0.448{col 54}{space 4}-.8557052{col 67}{space 3} .3792247
{txt}c_hc_b_h_del {c |}{col 14}{res}{space 2}-.1167199{col 26}{space 2} .3123693{col 37}{space 1}   -0.37{col 46}{space 3}0.709{col 54}{space 4}-.7311924{col 67}{space 3} .4977527
{txt}c_hc_b_h_s~s {c |}{col 14}{res}{space 2} .3374736{col 26}{space 2} .3544869{col 37}{space 1}    0.95{col 46}{space 3}0.342{col 54}{space 4}-.3598501{col 67}{space 3} 1.034797
{txt}c_hc_b_vis~d {c |}{col 14}{res}{space 2}-.4304509{col 26}{space 2} .8338211{col 37}{space 1}   -0.52{col 46}{space 3}0.606{col 54}{space 4} -2.07069{col 67}{space 3} 1.209788
{txt}{space 1}c_hc_educyr {c |}{col 14}{res}{space 2} .0926187{col 26}{space 2} .1114765{col 37}{space 1}    0.83{col 46}{space 3}0.407{col 54}{space 4}-.1266706{col 67}{space 3} .3119081
{txt}c_hc_b_ass~x {c |}{col 14}{res}{space 2}-.3949895{col 26}{space 2} .3199131{col 37}{space 1}   -1.23{col 46}{space 3}0.218{col 54}{space 4}-1.024302{col 67}{space 3} .2343229
{txt}c_info~c_hc2 {c |}{col 14}{res}{space 2}-.1595133{col 26}{space 2}  .411755{col 37}{space 1}   -0.39{col 46}{space 3}0.699{col 54}{space 4} -.969491{col 67}{space 3} .6504644
{txt}c_infomn_h.. {c |}{col 14}{res}{space 2} .1559084{col 26}{space 2} .3935527{col 37}{space 1}    0.40{col 46}{space 3}0.692{col 54}{space 4} -.618263{col 67}{space 3} .9300797
{txt}c_infomn_h.. {c |}{col 14}{res}{space 2}-.1352784{col 26}{space 2} .5054002{col 37}{space 1}   -0.27{col 46}{space 3}0.789{col 54}{space 4}-1.129469{col 67}{space 3}  .858912
{txt}c_infomn_h.. {c |}{col 14}{res}{space 2}-.8293841{col 26}{space 2} 2.364834{col 37}{space 1}   -0.35{col 46}{space 3}0.726{col 54}{space 4}-5.481333{col 67}{space 3} 3.822564
{txt}c_infomn_h.. {c |}{col 14}{res}{space 2}-.0289546{col 26}{space 2} .1439683{col 37}{space 1}   -0.20{col 46}{space 3}0.841{col 54}{space 4}-.3121596{col 67}{space 3} .2542505
{txt}c_infomn_h.. {c |}{col 14}{res}{space 2}-.1581769{col 26}{space 2} .3949694{col 37}{space 1}   -0.40{col 46}{space 3}0.689{col 54}{space 4}-.9351349{col 67}{space 3} .6187812
{txt}c_into~c_hc2 {c |}{col 14}{res}{space 2} .8708376{col 26}{space 2}  .437828{col 37}{space 1}    1.99{col 46}{space 3}0.048{col 54}{space 4} .0095709{col 67}{space 3} 1.732104
{txt}c_intomn_h.. {c |}{col 14}{res}{space 2} .1985008{col 26}{space 2} .3691152{col 37}{space 1}    0.54{col 46}{space 3}0.591{col 54}{space 4}-.5275987{col 67}{space 3} .9246003
{txt}c_intomn_h.. {c |}{col 14}{res}{space 2}-.0861423{col 26}{space 2} .4117967{col 37}{space 1}   -0.21{col 46}{space 3}0.834{col 54}{space 4} -.896202{col 67}{space 3} .7239173
{txt}c_intomn_h.. {c |}{col 14}{res}{space 2}-.2213702{col 26}{space 2} 1.653418{col 37}{space 1}   -0.13{col 46}{space 3}0.894{col 54}{space 4}-3.473867{col 67}{space 3} 3.031126
{txt}c_intomn_h.. {c |}{col 14}{res}{space 2} .0047806{col 26}{space 2} .1516714{col 37}{space 1}    0.03{col 46}{space 3}0.975{col 54}{space 4}-.2935774{col 67}{space 3} .3031387
{txt}c_intomn_h.. {c |}{col 14}{res}{space 2} .2922326{col 26}{space 2} .4153326{col 37}{space 1}    0.70{col 46}{space 3}0.482{col 54}{space 4}-.5247827{col 67}{space 3} 1.109248
{txt}{space 7}_cons {c |}{col 14}{res}{space 2}-.0080825{col 26}{space 2} .1034274{col 37}{space 1}   -0.08{col 46}{space 3}0.938{col 54}{space 4}-.2115381{col 67}{space 3} .1953732
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}infomn - intomn = 0{p_end}

{txt}       F(  1,   332) ={res}    0.44
{txt}{col 13}Prob > F ={res}    0.5071

{txt}added scalar:
             e(f_wald) =  {res}.50709936

{p 0 7}{space 1}{text:( 1)}{space 1}{space 1}{res}- fullomn + infomn = 0{p_end}

{txt}       F(  1,   332) ={res}    2.10
{txt}{col 13}Prob > F ={res}    0.1480

{txt}added scalar:
            e(f_wald1) =  {res}.14796068

{p 0 7}{space 1}{text:( 1)}{space 1}{space 1}{res}- fullomn + intomn = 0{p_end}

{txt}       F(  1,   332) ={res}    4.57
{txt}{col 13}Prob > F ={res}    0.0332

{txt}added scalar:
            e(f_wald2) =  {res}.03323831

{p 0 7}{space 1}{text:( 1)}{space 1} fullomn = 0{p_end}
{p 0 7}{space 1}{text:( 2)}{space 1} infomn = 0{p_end}
{p 0 7}{space 1}{text:( 3)}{space 1} intomn = 0{p_end}

{txt}       F(  3,   332) ={res}    1.73
{txt}{col 13}Prob > F ={res}    0.1613

{txt}added scalar:
                e(f_3) =  {res}1.726415

{txt}added scalar:
            e(f_wald3) =  {res}.16134541
{txt}
{com}.                 
.         local y = 4
{txt}
{com}.         foreach x in `ctzpressure_nobase' {c -(}
{txt}  2{com}.                 areg  e_`x' fullomn infomn intomn `fullomn_hc_int_e_controls' `e_controls_hc' `infomn_hc_int_e_controls' `intomn_hc_int_e_controls' if uniquehc == 1 , robust a(district)
{txt}  3{com}.                 
.                 test infomn = intomn
{txt}  4{com}.                 estadd scalar f_wald = r(p)
{txt}  5{com}.                 
.                 test infomn = fullomn
{txt}  6{com}.                 estadd scalar f_wald1 = r(p)
{txt}  7{com}.                 
.                 test intomn = fullomn
{txt}  8{com}.                 estadd scalar f_wald2 = r(p)
{txt}  9{com}.                 
.                 test fullomn infomn intomn
{txt} 10{com}.                 estadd scalar f_3 = r(F)
{txt} 11{com}.                 estadd scalar f_wald3 = r(p)
{txt} 12{com}.                 
.                 estimates store m`y'
{txt} 13{com}.                 
.                 local y = `y' + 1
{txt} 14{com}.                 {c )-}
{res}
{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}       376
{txt}{col 49}F({res}  27{txt},{res}    333{txt}){col 67}= {res}      1.83
{txt}{col 49}Prob > F{col 67}= {res}    0.0084
{txt}{col 49}R-squared{col 67}= {res}    0.1181
{txt}{col 49}Adj R-squared{col 67}= {res}    0.0068
{txt}{col 49}Root MSE{col 67}= {res}    0.9881

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}e_h_hw_rep~z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 5}fullomn {c |}{col 14}{res}{space 2} .0142691{col 26}{space 2}  .147929{col 37}{space 1}    0.10{col 46}{space 3}0.923{col 54}{space 4} -.276724{col 67}{space 3} .3052622
{txt}{space 6}infomn {c |}{col 14}{res}{space 2}-.0690794{col 26}{space 2} .1443485{col 37}{space 1}   -0.48{col 46}{space 3}0.633{col 54}{space 4}-.3530292{col 67}{space 3} .2148704
{txt}{space 6}intomn {c |}{col 14}{res}{space 2}-.0062962{col 26}{space 2} .1441374{col 37}{space 1}   -0.04{col 46}{space 3}0.965{col 54}{space 4}-.2898308{col 67}{space 3} .2772385
{txt}c_full~c_hc2 {c |}{col 14}{res}{space 2}-.3993764{col 26}{space 2} .3838764{col 37}{space 1}   -1.04{col 46}{space 3}0.299{col 54}{space 4}-1.154505{col 67}{space 3} .3557521
{txt}c_fullomn_.. {c |}{col 14}{res}{space 2}-.4503248{col 26}{space 2} .3925342{col 37}{space 1}   -1.15{col 46}{space 3}0.252{col 54}{space 4}-1.222484{col 67}{space 3} .3218346
{txt}c_fullomn_.. {c |}{col 14}{res}{space 2}-.8270783{col 26}{space 2} .4121871{col 37}{space 1}   -2.01{col 46}{space 3}0.046{col 54}{space 4}-1.637897{col 67}{space 3}-.0162595
{txt}c_fullomn_.. {c |}{col 14}{res}{space 2} .3592149{col 26}{space 2} 1.778318{col 37}{space 1}    0.20{col 46}{space 3}0.840{col 54}{space 4}-3.138938{col 67}{space 3} 3.857367
{txt}c_f~c_educyr {c |}{col 14}{res}{space 2} .1772848{col 26}{space 2} .1688308{col 37}{space 1}    1.05{col 46}{space 3}0.294{col 54}{space 4}-.1548245{col 67}{space 3} .5093941
{txt}c_fullomn_.. {c |}{col 14}{res}{space 2}-.5574231{col 26}{space 2} .4710726{col 37}{space 1}   -1.18{col 46}{space 3}0.238{col 54}{space 4}-1.484076{col 67}{space 3} .3692302
{txt}{space 4}c_hc_hc2 {c |}{col 14}{res}{space 2} .0498735{col 26}{space 2}  .286586{col 37}{space 1}    0.17{col 46}{space 3}0.862{col 54}{space 4}-.5138736{col 67}{space 3} .6136206
{txt}c_hc_b_h_del {c |}{col 14}{res}{space 2} .3270801{col 26}{space 2} .2997358{col 37}{space 1}    1.09{col 46}{space 3}0.276{col 54}{space 4}-.2625342{col 67}{space 3} .9166943
{txt}c_hc_b_h_s~s {c |}{col 14}{res}{space 2} .7825389{col 26}{space 2} .2780196{col 37}{space 1}    2.81{col 46}{space 3}0.005{col 54}{space 4} .2356427{col 67}{space 3} 1.329435
{txt}c_hc_b_vis~d {c |}{col 14}{res}{space 2}-.3992901{col 26}{space 2} 1.008549{col 37}{space 1}   -0.40{col 46}{space 3}0.692{col 54}{space 4}-2.383221{col 67}{space 3} 1.584641
{txt}{space 1}c_hc_educyr {c |}{col 14}{res}{space 2}-.0552418{col 26}{space 2}  .107467{col 37}{space 1}   -0.51{col 46}{space 3}0.608{col 54}{space 4}-.2666416{col 67}{space 3}  .156158
{txt}c_hc_b_ass~x {c |}{col 14}{res}{space 2} .1804643{col 26}{space 2} .3299661{col 37}{space 1}    0.55{col 46}{space 3}0.585{col 54}{space 4}-.4686164{col 67}{space 3} .8295451
{txt}c_info~c_hc2 {c |}{col 14}{res}{space 2}-.3129866{col 26}{space 2} .3909447{col 37}{space 1}   -0.80{col 46}{space 3}0.424{col 54}{space 4}-1.082019{col 67}{space 3} .4560461
{txt}c_infomn_h.. {c |}{col 14}{res}{space 2}-.4967246{col 26}{space 2} .3897733{col 37}{space 1}   -1.27{col 46}{space 3}0.203{col 54}{space 4}-1.263453{col 67}{space 3} .2700036
{txt}c_infomn_h.. {c |}{col 14}{res}{space 2}-1.040962{col 26}{space 2} .3957275{col 37}{space 1}   -2.63{col 46}{space 3}0.009{col 54}{space 4}-1.819403{col 67}{space 3}-.2625215
{txt}c_infomn_h.. {c |}{col 14}{res}{space 2} 2.894226{col 26}{space 2} 2.001662{col 37}{space 1}    1.45{col 46}{space 3}0.149{col 54}{space 4} -1.04327{col 67}{space 3} 6.831723
{txt}c_infomn_h.. {c |}{col 14}{res}{space 2}-.0012125{col 26}{space 2} .1517919{col 37}{space 1}   -0.01{col 46}{space 3}0.994{col 54}{space 4}-.2998044{col 67}{space 3} .2973794
{txt}c_infomn_h.. {c |}{col 14}{res}{space 2} .2688152{col 26}{space 2} .4400271{col 37}{space 1}    0.61{col 46}{space 3}0.542{col 54}{space 4}-.5967679{col 67}{space 3} 1.134398
{txt}c_into~c_hc2 {c |}{col 14}{res}{space 2}-.4462189{col 26}{space 2}  .401319{col 37}{space 1}   -1.11{col 46}{space 3}0.267{col 54}{space 4}-1.235659{col 67}{space 3} .3432212
{txt}c_intomn_h.. {c |}{col 14}{res}{space 2}-.0012769{col 26}{space 2} .3920781{col 37}{space 1}   -0.00{col 46}{space 3}0.997{col 54}{space 4} -.772539{col 67}{space 3} .7699853
{txt}c_intomn_h.. {c |}{col 14}{res}{space 2}-.8579318{col 26}{space 2} .3706982{col 37}{space 1}   -2.31{col 46}{space 3}0.021{col 54}{space 4}-1.587137{col 67}{space 3}-.1287263
{txt}c_intomn_h.. {c |}{col 14}{res}{space 2}-.4773603{col 26}{space 2} 1.826469{col 37}{space 1}   -0.26{col 46}{space 3}0.794{col 54}{space 4}-4.070231{col 67}{space 3} 3.115511
{txt}c_intomn_h.. {c |}{col 14}{res}{space 2} .0925655{col 26}{space 2} .1555774{col 37}{space 1}    0.59{col 46}{space 3}0.552{col 54}{space 4}-.2134728{col 67}{space 3} .3986039
{txt}c_intomn_h.. {c |}{col 14}{res}{space 2}-.4115729{col 26}{space 2} .4636374{col 37}{space 1}   -0.89{col 46}{space 3}0.375{col 54}{space 4}  -1.3236{col 67}{space 3} .5004545
{txt}{space 7}_cons {c |}{col 14}{res}{space 2}-.0050732{col 26}{space 2} .1031577{col 37}{space 1}   -0.05{col 46}{space 3}0.961{col 54}{space 4} -.207996{col 67}{space 3} .1978497
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}infomn - intomn = 0{p_end}

{txt}       F(  1,   333) ={res}    0.20
{txt}{col 13}Prob > F ={res}    0.6575

{txt}added scalar:
             e(f_wald) =  {res}.65745471

{p 0 7}{space 1}{text:( 1)}{space 1}{space 1}{res}- fullomn + infomn = 0{p_end}

{txt}       F(  1,   333) ={res}    0.33
{txt}{col 13}Prob > F ={res}    0.5682

{txt}added scalar:
            e(f_wald1) =  {res}.56817193

{p 0 7}{space 1}{text:( 1)}{space 1}{space 1}{res}- fullomn + intomn = 0{p_end}

{txt}       F(  1,   333) ={res}    0.02
{txt}{col 13}Prob > F ={res}    0.8885

{txt}added scalar:
            e(f_wald2) =  {res}.88849057

{p 0 7}{space 1}{text:( 1)}{space 1} fullomn = 0{p_end}
{p 0 7}{space 1}{text:( 2)}{space 1} infomn = 0{p_end}
{p 0 7}{space 1}{text:( 3)}{space 1} intomn = 0{p_end}

{txt}       F(  3,   333) ={res}    0.13
{txt}{col 13}Prob > F ={res}    0.9411

{txt}added scalar:
                e(f_3) =  {res}.13177443

{txt}added scalar:
            e(f_wald3) =  {res}.9411332
{txt}
{com}.                 
. 
.         # delimit;
{txt}delimiter now ;
{com}.                 esttab m1 m2 m3 m4
>         using "${c -(}tables{c )-}/TableI39.tex", b(%5.3f) se(%5.3f)
>                 title(Perceived citizen pressure index -- All treatment arms)
>                 keep(fullomn infomn intomn _cons)
>                 varlabels (fullomn "Full treatment" infomn "Information and mobilization only" intomn "Interface only" _cons "Constant")
>                 starlevels(* .10 ** .05 *** .01)                
>                 mtitles("\textbf{c -(}\begin{c -(}tabular{c )-}[c]{c -(}@{c -(}{c )-}c@{c -(}{c )-}{c )-}Perceived \\citizen\\pressure\\index\end{c -(}tabular{c )-}{c )-}"
>                                 "\begin{c -(}tabular{c )-}[c]{c -(}@{c -(}{c )-}c@{c -(}{c )-}{c )-}Community\\ would find out:\\ staff no effort\end{c -(}tabular{c )-}"
>                                 "\begin{c -(}tabular{c )-}[c]{c -(}@{c -(}{c )-}c@{c -(}{c )-}{c )-}Community\\ would find out:\\ staff absent\end{c -(}tabular{c )-}"
>                                 "\begin{c -(}tabular{c )-}[c]{c -(}@{c -(}{c )-}c@{c -(}{c )-}{c )-}Any report\\ of staff\\ wrongdoing\\ in past 12 months\end{c -(}tabular{c )-}")
>                 stats(N r2 f_wald f_wald1 f_wald2 hline f_3 f_wald3, labels("N" "R$^{c -(}2{c )-}$" "P-value (Information and mobilization = Interface)" "P-value (Information and mobilization = Full treatment)" "P-value (Interface = Full treatment)" "\hline" "F-test (joint significance of all 3 treatment groups)" "P-value (joint significance of all 3 treatment groups)") fmt(%9.0fc %9.3fc)) label booktabs nonotes replace
>         
>         ;
{res}{txt}(output written to {browse  `"/Users/fredericcochinard/Dropbox/ACT_Health_JOP_replication_file/3.Tables and Figures/Tables/TableI39.tex"'})

{com}.                 # delimit cr
{txt}delimiter now cr
{com}.         
.         
.         ********************************************************
.         * Table I40: Utilization outcomes – All treatment arms *
.         ********************************************************
.         
.         * We work on the coefficient plot for the utilization indice
.         
.         use "${c -(}usedata{c )-}/chp_el_light_dataset.dta", clear
{txt}
{com}.         
.         * At endline:
.         
.         eststo clear
{txt}
{com}.         
.         local y = 1
{txt}
{com}.         foreach x in `utilization' {c -(}
{txt}  2{com}.                 areg  e_`x' fullomn infomn intomn b_`x' b_`x'_d  `fullomn_int_e_controls' `e_controls' `infomn_int_e_controls' `intomn_int_e_controls', robust cl(hc_id) a(district)
{txt}  3{com}.                 
.                 test infomn = intomn
{txt}  4{com}.                 estadd scalar f_wald = r(p)
{txt}  5{com}.                 
.                 test infomn = fullomn
{txt}  6{com}.                 estadd scalar f_wald1 = r(p)
{txt}  7{com}.                 
.                 test intomn = fullomn
{txt}  8{com}.                 estadd scalar f_wald2 = r(p)
{txt}  9{com}.                 
.                 test fullomn infomn intomn
{txt} 10{com}.                 estadd scalar f_3 = r(F)
{txt} 11{com}.                 estadd scalar f_wald3 = r(p)
{txt} 12{com}.                 
.                 estimates store m`y'
{txt} 13{com}.                 
.                 local y = `y' + 1
{txt} 14{com}.                 {c )-}
{txt}note: b_urate_z_d omitted because of collinearity
{res}
{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}    14,609
{txt}{col 49}F({res}  25{txt},{res}    375{txt}){col 67}= {res}     69.70
{txt}{col 49}Prob > F{col 67}= {res}    0.0000
{txt}{col 49}R-squared{col 67}= {res}    0.2210
{txt}{col 49}Adj R-squared{col 67}= {res}    0.2188
{txt}{col 49}Root MSE{col 67}= {res}    0.6633

{txt}{ralign 78:(Std. Err. adjusted for {res:376} clusters in hc_id)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}   e_urate_z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 5}fullomn {c |}{col 14}{res}{space 2}   .02716{col 26}{space 2} .0220671{col 37}{space 1}    1.23{col 46}{space 3}0.219{col 54}{space 4}-.0162307{col 67}{space 3} .0705508
{txt}{space 6}infomn {c |}{col 14}{res}{space 2} .0117706{col 26}{space 2} .0219195{col 37}{space 1}    0.54{col 46}{space 3}0.592{col 54}{space 4}  -.03133{col 67}{space 3} .0548711
{txt}{space 6}intomn {c |}{col 14}{res}{space 2} .0534301{col 26}{space 2}  .021886{col 37}{space 1}    2.44{col 46}{space 3}0.015{col 54}{space 4} .0103954{col 67}{space 3} .0964648
{txt}{space 3}b_urate_z {c |}{col 14}{res}{space 2} .3582109{col 26}{space 2} .0105969{col 37}{space 1}   33.80{col 46}{space 3}0.000{col 54}{space 4}  .337374{col 67}{space 3} .3790477
{txt}{space 1}b_urate_z_d {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
c_full~n_hc2 {c |}{col 14}{res}{space 2} .0072932{col 26}{space 2} .0354037{col 37}{space 1}    0.21{col 46}{space 3}0.837{col 54}{space 4}-.0623215{col 67}{space 3} .0769078
{txt}c_fullomn_.. {c |}{col 14}{res}{space 2} .0131317{col 26}{space 2} .0412597{col 37}{space 1}    0.32{col 46}{space 3}0.750{col 54}{space 4}-.0679977{col 67}{space 3} .0942611
{txt}c_fullomn_.. {c |}{col 14}{res}{space 2} -.017012{col 26}{space 2} .0597409{col 37}{space 1}   -0.28{col 46}{space 3}0.776{col 54}{space 4}-.1344811{col 67}{space 3} .1004571
{txt}c_fullomn_.. {c |}{col 14}{res}{space 2}-.0252992{col 26}{space 2} .0807555{col 37}{space 1}   -0.31{col 46}{space 3}0.754{col 54}{space 4}-.1840896{col 67}{space 3} .1334913
{txt}c_f~n_educyr {c |}{col 14}{res}{space 2} .0026676{col 26}{space 2} .0041323{col 37}{space 1}    0.65{col 46}{space 3}0.519{col 54}{space 4}-.0054577{col 67}{space 3}  .010793
{txt}c_fullomn_.. {c |}{col 14}{res}{space 2}-.0106696{col 26}{space 2} .0190528{col 37}{space 1}   -0.56{col 46}{space 3}0.576{col 54}{space 4}-.0481334{col 67}{space 3} .0267941
{txt}c_b_visite~d {c |}{col 14}{res}{space 2} .1634956{col 26}{space 2} .0572481{col 37}{space 1}    2.86{col 46}{space 3}0.005{col 54}{space 4} .0509282{col 67}{space 3} .2760631
{txt}{space 4}c_educyr {c |}{col 14}{res}{space 2}-.0126861{col 26}{space 2} .0027847{col 37}{space 1}   -4.56{col 46}{space 3}0.000{col 54}{space 4}-.0181616{col 67}{space 3}-.0072106
{txt}c_b_asseti~x {c |}{col 14}{res}{space 2}-.0431851{col 26}{space 2} .0126111{col 37}{space 1}   -3.42{col 46}{space 3}0.001{col 54}{space 4}-.0679824{col 67}{space 3}-.0183877
{txt}c_infomn_hc2 {c |}{col 14}{res}{space 2}-.0292247{col 26}{space 2} .0348605{col 37}{space 1}   -0.84{col 46}{space 3}0.402{col 54}{space 4}-.0977713{col 67}{space 3} .0393219
{txt}c_infomn_b~l {c |}{col 14}{res}{space 2}-.0501252{col 26}{space 2} .0384328{col 37}{space 1}   -1.30{col 46}{space 3}0.193{col 54}{space 4}-.1256961{col 67}{space 3} .0254456
{txt}c_infomn_b~s {c |}{col 14}{res}{space 2} .0259846{col 26}{space 2} .0496046{col 37}{space 1}    0.52{col 46}{space 3}0.601{col 54}{space 4}-.0715533{col 67}{space 3} .1235226
{txt}c_infomn_b.. {c |}{col 14}{res}{space 2}-.1017177{col 26}{space 2} .0770796{col 37}{space 1}   -1.32{col 46}{space 3}0.188{col 54}{space 4}-.2532802{col 67}{space 3} .0498448
{txt}c_infomn_e~r {c |}{col 14}{res}{space 2}  .003205{col 26}{space 2} .0039521{col 37}{space 1}    0.81{col 46}{space 3}0.418{col 54}{space 4} -.004566{col 67}{space 3} .0109761
{txt}c_infomn_b.. {c |}{col 14}{res}{space 2}-.0174042{col 26}{space 2} .0183422{col 37}{space 1}   -0.95{col 46}{space 3}0.343{col 54}{space 4}-.0534708{col 67}{space 3} .0186623
{txt}c_intomn_hc2 {c |}{col 14}{res}{space 2}-.0863935{col 26}{space 2} .0388515{col 37}{space 1}   -2.22{col 46}{space 3}0.027{col 54}{space 4}-.1627875{col 67}{space 3}-.0099994
{txt}c_intomn_b~l {c |}{col 14}{res}{space 2}-.0292127{col 26}{space 2}  .039417{col 37}{space 1}   -0.74{col 46}{space 3}0.459{col 54}{space 4}-.1067188{col 67}{space 3} .0482934
{txt}c_intomn_b~s {c |}{col 14}{res}{space 2}  .011643{col 26}{space 2} .0472277{col 37}{space 1}    0.25{col 46}{space 3}0.805{col 54}{space 4}-.0812213{col 67}{space 3} .1045073
{txt}c_intomn_b.. {c |}{col 14}{res}{space 2} .0116433{col 26}{space 2} .0794271{col 37}{space 1}    0.15{col 46}{space 3}0.884{col 54}{space 4} -.144535{col 67}{space 3} .1678216
{txt}c_intomn_e~r {c |}{col 14}{res}{space 2}-.0012699{col 26}{space 2} .0039213{col 37}{space 1}   -0.32{col 46}{space 3}0.746{col 54}{space 4}-.0089803{col 67}{space 3} .0064406
{txt}c_intomn_b.. {c |}{col 14}{res}{space 2}-.0049936{col 26}{space 2} .0173479{col 37}{space 1}   -0.29{col 46}{space 3}0.774{col 54}{space 4}-.0391051{col 67}{space 3} .0291178
{txt}{space 7}_cons {c |}{col 14}{res}{space 2}-.0176137{col 26}{space 2} .0152773{col 37}{space 1}   -1.15{col 46}{space 3}0.250{col 54}{space 4}-.0476536{col 67}{space 3} .0124263
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}infomn - intomn = 0{p_end}

{txt}       F(  1,   375) ={res}    3.51
{txt}{col 13}Prob > F ={res}    0.0619

{txt}added scalar:
             e(f_wald) =  {res}.06194874

{p 0 7}{space 1}{text:( 1)}{space 1}{space 1}{res}- fullomn + infomn = 0{p_end}

{txt}       F(  1,   375) ={res}    0.47
{txt}{col 13}Prob > F ={res}    0.4944

{txt}added scalar:
            e(f_wald1) =  {res}.49439636

{p 0 7}{space 1}{text:( 1)}{space 1}{space 1}{res}- fullomn + intomn = 0{p_end}

{txt}       F(  1,   375) ={res}    1.40
{txt}{col 13}Prob > F ={res}    0.2383

{txt}added scalar:
            e(f_wald2) =  {res}.23829357

{p 0 7}{space 1}{text:( 1)}{space 1} fullomn = 0{p_end}
{p 0 7}{space 1}{text:( 2)}{space 1} infomn = 0{p_end}
{p 0 7}{space 1}{text:( 3)}{space 1} intomn = 0{p_end}

{txt}       F(  3,   375) ={res}    2.20
{txt}{col 13}Prob > F ={res}    0.0881

{txt}added scalar:
                e(f_3) =  {res}2.1959482

{txt}added scalar:
            e(f_wald3) =  {res}.08812417
{txt}note: b_visit_hf_z_d omitted because of collinearity
{res}
{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}    14,609
{txt}{col 49}F({res}  25{txt},{res}    375{txt}){col 67}= {res}     64.48
{txt}{col 49}Prob > F{col 67}= {res}    0.0000
{txt}{col 49}R-squared{col 67}= {res}    0.2727
{txt}{col 49}Adj R-squared{col 67}= {res}    0.2707
{txt}{col 49}Root MSE{col 67}= {res}    0.8559

{txt}{ralign 78:(Std. Err. adjusted for {res:376} clusters in hc_id)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}e_visit_hf_z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 5}fullomn {c |}{col 14}{res}{space 2}-.0016142{col 26}{space 2} .0270906{col 37}{space 1}   -0.06{col 46}{space 3}0.953{col 54}{space 4}-.0548827{col 67}{space 3} .0516542
{txt}{space 6}infomn {c |}{col 14}{res}{space 2}-.0039054{col 26}{space 2} .0289309{col 37}{space 1}   -0.13{col 46}{space 3}0.893{col 54}{space 4}-.0607925{col 67}{space 3} .0529817
{txt}{space 6}intomn {c |}{col 14}{res}{space 2} .0377775{col 26}{space 2} .0271722{col 37}{space 1}    1.39{col 46}{space 3}0.165{col 54}{space 4}-.0156515{col 67}{space 3} .0912065
{txt}b_visit_hf_z {c |}{col 14}{res}{space 2} .3923568{col 26}{space 2} .0116354{col 37}{space 1}   33.72{col 46}{space 3}0.000{col 54}{space 4} .3694779{col 67}{space 3} .4152357
{txt}b_visit_~z_d {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
c_full~n_hc2 {c |}{col 14}{res}{space 2} .0321183{col 26}{space 2}  .041395{col 37}{space 1}    0.78{col 46}{space 3}0.438{col 54}{space 4}-.0492771{col 67}{space 3} .1135137
{txt}c_fullomn_.. {c |}{col 14}{res}{space 2} .0455531{col 26}{space 2} .0470501{col 37}{space 1}    0.97{col 46}{space 3}0.334{col 54}{space 4}-.0469619{col 67}{space 3} .1380682
{txt}c_fullomn_.. {c |}{col 14}{res}{space 2}  .028886{col 26}{space 2}  .059562{col 37}{space 1}    0.48{col 46}{space 3}0.628{col 54}{space 4}-.0882314{col 67}{space 3} .1460035
{txt}c_fullomn_.. {c |}{col 14}{res}{space 2}-.0373012{col 26}{space 2} .0904136{col 37}{space 1}   -0.41{col 46}{space 3}0.680{col 54}{space 4}-.2150824{col 67}{space 3}   .14048
{txt}c_f~n_educyr {c |}{col 14}{res}{space 2} .0026843{col 26}{space 2} .0051884{col 37}{space 1}    0.52{col 46}{space 3}0.605{col 54}{space 4}-.0075178{col 67}{space 3} .0128863
{txt}c_fullomn_.. {c |}{col 14}{res}{space 2}  .021148{col 26}{space 2} .0233223{col 37}{space 1}    0.91{col 46}{space 3}0.365{col 54}{space 4}-.0247108{col 67}{space 3} .0670069
{txt}c_b_visite~d {c |}{col 14}{res}{space 2} .1432549{col 26}{space 2} .0678049{col 37}{space 1}    2.11{col 46}{space 3}0.035{col 54}{space 4} .0099295{col 67}{space 3} .2765802
{txt}{space 4}c_educyr {c |}{col 14}{res}{space 2}  -.01956{col 26}{space 2} .0031748{col 37}{space 1}   -6.16{col 46}{space 3}0.000{col 54}{space 4}-.0258025{col 67}{space 3}-.0133174
{txt}c_b_asseti~x {c |}{col 14}{res}{space 2}-.0466405{col 26}{space 2} .0163886{col 37}{space 1}   -2.85{col 46}{space 3}0.005{col 54}{space 4}-.0788656{col 67}{space 3}-.0144154
{txt}c_infomn_hc2 {c |}{col 14}{res}{space 2}-.0011023{col 26}{space 2}  .053742{col 37}{space 1}   -0.02{col 46}{space 3}0.984{col 54}{space 4}-.1067757{col 67}{space 3} .1045712
{txt}c_infomn_b~l {c |}{col 14}{res}{space 2}-.0315974{col 26}{space 2} .0558739{col 37}{space 1}   -0.57{col 46}{space 3}0.572{col 54}{space 4}-.1414627{col 67}{space 3} .0782679
{txt}c_infomn_b~s {c |}{col 14}{res}{space 2} .0683223{col 26}{space 2}  .054934{col 37}{space 1}    1.24{col 46}{space 3}0.214{col 54}{space 4} -.039695{col 67}{space 3} .1763396
{txt}c_infomn_b.. {c |}{col 14}{res}{space 2}-.1163537{col 26}{space 2} .0888396{col 37}{space 1}   -1.31{col 46}{space 3}0.191{col 54}{space 4}-.2910398{col 67}{space 3} .0583324
{txt}c_infomn_e~r {c |}{col 14}{res}{space 2} .0014233{col 26}{space 2} .0049158{col 37}{space 1}    0.29{col 46}{space 3}0.772{col 54}{space 4}-.0082427{col 67}{space 3} .0110894
{txt}c_infomn_b.. {c |}{col 14}{res}{space 2} .0094427{col 26}{space 2} .0242136{col 37}{space 1}    0.39{col 46}{space 3}0.697{col 54}{space 4}-.0381688{col 67}{space 3} .0570542
{txt}c_intomn_hc2 {c |}{col 14}{res}{space 2}-.0507886{col 26}{space 2} .0439578{col 37}{space 1}   -1.16{col 46}{space 3}0.249{col 54}{space 4}-.1372232{col 67}{space 3} .0356461
{txt}c_intomn_b~l {c |}{col 14}{res}{space 2}-.0473207{col 26}{space 2} .0438014{col 37}{space 1}   -1.08{col 46}{space 3}0.281{col 54}{space 4}-.1334479{col 67}{space 3} .0388065
{txt}c_intomn_b~s {c |}{col 14}{res}{space 2} .0168873{col 26}{space 2} .0577351{col 37}{space 1}    0.29{col 46}{space 3}0.770{col 54}{space 4}-.0966379{col 67}{space 3} .1304125
{txt}c_intomn_b.. {c |}{col 14}{res}{space 2} .0621025{col 26}{space 2} .0888384{col 37}{space 1}    0.70{col 46}{space 3}0.485{col 54}{space 4}-.1125813{col 67}{space 3} .2367864
{txt}c_intomn_e~r {c |}{col 14}{res}{space 2} .0018844{col 26}{space 2}  .005218{col 37}{space 1}    0.36{col 46}{space 3}0.718{col 54}{space 4}-.0083757{col 67}{space 3} .0121446
{txt}c_intomn_b.. {c |}{col 14}{res}{space 2}-.0062623{col 26}{space 2} .0220606{col 37}{space 1}   -0.28{col 46}{space 3}0.777{col 54}{space 4}-.0496403{col 67}{space 3} .0371157
{txt}{space 7}_cons {c |}{col 14}{res}{space 2}-.0161295{col 26}{space 2} .0200222{col 37}{space 1}   -0.81{col 46}{space 3}0.421{col 54}{space 4}-.0554993{col 67}{space 3} .0232402
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}infomn - intomn = 0{p_end}

{txt}       F(  1,   375) ={res}    2.27
{txt}{col 13}Prob > F ={res}    0.1327

{txt}added scalar:
             e(f_wald) =  {res}.13272384

{p 0 7}{space 1}{text:( 1)}{space 1}{space 1}{res}- fullomn + infomn = 0{p_end}

{txt}       F(  1,   375) ={res}    0.01
{txt}{col 13}Prob > F ={res}    0.9338

{txt}added scalar:
            e(f_wald1) =  {res}.93376864

{p 0 7}{space 1}{text:( 1)}{space 1}{space 1}{res}- fullomn + intomn = 0{p_end}

{txt}       F(  1,   375) ={res}    2.38
{txt}{col 13}Prob > F ={res}    0.1235

{txt}added scalar:
            e(f_wald2) =  {res}.12351677

{p 0 7}{space 1}{text:( 1)}{space 1} fullomn = 0{p_end}
{p 0 7}{space 1}{text:( 2)}{space 1} infomn = 0{p_end}
{p 0 7}{space 1}{text:( 3)}{space 1} intomn = 0{p_end}

{txt}       F(  3,   375) ={res}    1.15
{txt}{col 13}Prob > F ={res}    0.3298

{txt}added scalar:
                e(f_3) =  {res}1.1473637

{txt}added scalar:
            e(f_wald3) =  {res}.32982874
{txt}note: b_hf_otherpract_z_d omitted because of collinearity
{res}
{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}    14,609
{txt}{col 49}F({res}  25{txt},{res}    375{txt}){col 67}= {res}     58.50
{txt}{col 49}Prob > F{col 67}= {res}    0.0000
{txt}{col 49}R-squared{col 67}= {res}    0.1725
{txt}{col 49}Adj R-squared{col 67}= {res}    0.1702
{txt}{col 49}Root MSE{col 67}= {res}    0.9254

{txt}{ralign 78:(Std. Err. adjusted for {res:376} clusters in hc_id)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}e_hf_other~z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 5}fullomn {c |}{col 14}{res}{space 2} .0357743{col 26}{space 2} .0328759{col 37}{space 1}    1.09{col 46}{space 3}0.277{col 54}{space 4}-.0288698{col 67}{space 3} .1004184
{txt}{space 6}infomn {c |}{col 14}{res}{space 2} .0231518{col 26}{space 2} .0317002{col 37}{space 1}    0.73{col 46}{space 3}0.466{col 54}{space 4}-.0391806{col 67}{space 3} .0854842
{txt}{space 6}intomn {c |}{col 14}{res}{space 2} .0717812{col 26}{space 2} .0334417{col 37}{space 1}    2.15{col 46}{space 3}0.032{col 54}{space 4} .0060245{col 67}{space 3}  .137538
{txt}b_hf_other~z {c |}{col 14}{res}{space 2} .3071734{col 26}{space 2} .0109412{col 37}{space 1}   28.07{col 46}{space 3}0.000{col 54}{space 4} .2856596{col 67}{space 3} .3286871
{txt}b_hf_oth~z_d {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
c_full~n_hc2 {c |}{col 14}{res}{space 2}-.0173067{col 26}{space 2} .0542952{col 37}{space 1}   -0.32{col 46}{space 3}0.750{col 54}{space 4}-.1240679{col 67}{space 3} .0894546
{txt}c_fullomn_.. {c |}{col 14}{res}{space 2}-.0014352{col 26}{space 2} .0631661{col 37}{space 1}   -0.02{col 46}{space 3}0.982{col 54}{space 4}-.1256392{col 67}{space 3} .1227689
{txt}c_fullomn_.. {c |}{col 14}{res}{space 2}-.0400708{col 26}{space 2} .0876343{col 37}{space 1}   -0.46{col 46}{space 3}0.648{col 54}{space 4} -.212387{col 67}{space 3} .1322453
{txt}c_fullomn_.. {c |}{col 14}{res}{space 2}-.0534508{col 26}{space 2} .1104741{col 37}{space 1}   -0.48{col 46}{space 3}0.629{col 54}{space 4}-.2706771{col 67}{space 3} .1637755
{txt}c_f~n_educyr {c |}{col 14}{res}{space 2} .0013837{col 26}{space 2}  .005636{col 37}{space 1}    0.25{col 46}{space 3}0.806{col 54}{space 4}-.0096984{col 67}{space 3} .0124659
{txt}c_fullomn_.. {c |}{col 14}{res}{space 2}-.0023527{col 26}{space 2} .0255004{col 37}{space 1}   -0.09{col 46}{space 3}0.927{col 54}{space 4}-.0524944{col 67}{space 3}  .047789
{txt}c_b_visite~d {c |}{col 14}{res}{space 2} .2584821{col 26}{space 2} .0767796{col 37}{space 1}    3.37{col 46}{space 3}0.001{col 54}{space 4} .1075095{col 67}{space 3} .4094547
{txt}{space 4}c_educyr {c |}{col 14}{res}{space 2}-.0114958{col 26}{space 2} .0037969{col 37}{space 1}   -3.03{col 46}{space 3}0.003{col 54}{space 4}-.0189616{col 67}{space 3}  -.00403
{txt}c_b_asseti~x {c |}{col 14}{res}{space 2}-.1007775{col 26}{space 2} .0168535{col 37}{space 1}   -5.98{col 46}{space 3}0.000{col 54}{space 4}-.1339167{col 67}{space 3}-.0676382
{txt}c_infomn_hc2 {c |}{col 14}{res}{space 2}-.0864674{col 26}{space 2} .0512851{col 37}{space 1}   -1.69{col 46}{space 3}0.093{col 54}{space 4}-.1873097{col 67}{space 3}  .014375
{txt}c_infomn_b~l {c |}{col 14}{res}{space 2}-.0843496{col 26}{space 2} .0593929{col 37}{space 1}   -1.42{col 46}{space 3}0.156{col 54}{space 4}-.2011345{col 67}{space 3} .0324353
{txt}c_infomn_b~s {c |}{col 14}{res}{space 2} .0547899{col 26}{space 2} .0734812{col 37}{space 1}    0.75{col 46}{space 3}0.456{col 54}{space 4}-.0896968{col 67}{space 3} .1992767
{txt}c_infomn_b.. {c |}{col 14}{res}{space 2}-.1414662{col 26}{space 2} .1066878{col 37}{space 1}   -1.33{col 46}{space 3}0.186{col 54}{space 4}-.3512474{col 67}{space 3} .0683151
{txt}c_infomn_e~r {c |}{col 14}{res}{space 2} .0039882{col 26}{space 2} .0050797{col 37}{space 1}    0.79{col 46}{space 3}0.433{col 54}{space 4}-.0060001{col 67}{space 3} .0139764
{txt}c_infomn_b.. {c |}{col 14}{res}{space 2}-.0339911{col 26}{space 2}  .023436{col 37}{space 1}   -1.45{col 46}{space 3}0.148{col 54}{space 4}-.0800736{col 67}{space 3} .0120914
{txt}c_intomn_hc2 {c |}{col 14}{res}{space 2}-.1199067{col 26}{space 2} .0638049{col 37}{space 1}   -1.88{col 46}{space 3}0.061{col 54}{space 4}-.2453669{col 67}{space 3} .0055536
{txt}c_intomn_b~l {c |}{col 14}{res}{space 2} .0171594{col 26}{space 2} .0659424{col 37}{space 1}    0.26{col 46}{space 3}0.795{col 54}{space 4}-.1125038{col 67}{space 3} .1468226
{txt}c_intomn_b~s {c |}{col 14}{res}{space 2} .0181795{col 26}{space 2} .0730519{col 37}{space 1}    0.25{col 46}{space 3}0.804{col 54}{space 4}-.1254631{col 67}{space 3} .1618221
{txt}c_intomn_b.. {c |}{col 14}{res}{space 2}-.0035885{col 26}{space 2} .1125522{col 37}{space 1}   -0.03{col 46}{space 3}0.975{col 54}{space 4} -.224901{col 67}{space 3}  .217724
{txt}c_intomn_e~r {c |}{col 14}{res}{space 2} .0006319{col 26}{space 2} .0053931{col 37}{space 1}    0.12{col 46}{space 3}0.907{col 54}{space 4}-.0099727{col 67}{space 3} .0112364
{txt}c_intomn_b.. {c |}{col 14}{res}{space 2} .0151336{col 26}{space 2} .0246149{col 37}{space 1}    0.61{col 46}{space 3}0.539{col 54}{space 4} -.033267{col 67}{space 3} .0635342
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} .0032783{col 26}{space 2} .0224004{col 37}{space 1}    0.15{col 46}{space 3}0.884{col 54}{space 4} -.040768{col 67}{space 3} .0473245
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}infomn - intomn = 0{p_end}

{txt}       F(  1,   375) ={res}    2.10
{txt}{col 13}Prob > F ={res}    0.1483

{txt}added scalar:
             e(f_wald) =  {res}.14829698

{p 0 7}{space 1}{text:( 1)}{space 1}{space 1}{res}- fullomn + infomn = 0{p_end}

{txt}       F(  1,   375) ={res}    0.15
{txt}{col 13}Prob > F ={res}    0.7033

{txt}added scalar:
            e(f_wald1) =  {res}.70328803

{p 0 7}{space 1}{text:( 1)}{space 1}{space 1}{res}- fullomn + intomn = 0{p_end}

{txt}       F(  1,   375) ={res}    1.09
{txt}{col 13}Prob > F ={res}    0.2978

{txt}added scalar:
            e(f_wald2) =  {res}.29775528

{p 0 7}{space 1}{text:( 1)}{space 1} fullomn = 0{p_end}
{p 0 7}{space 1}{text:( 2)}{space 1} infomn = 0{p_end}
{p 0 7}{space 1}{text:( 3)}{space 1} intomn = 0{p_end}

{txt}       F(  3,   375) ={res}    1.59
{txt}{col 13}Prob > F ={res}    0.1920

{txt}added scalar:
                e(f_3) =  {res}1.5874591

{txt}added scalar:
            e(f_wald3) =  {res}.19196273
{txt}
{com}.                 
.                 
.         * Vaccination outcome
.         
.         local y = 4
{txt}
{com}.         foreach x in `utilization_vacc' {c -(}
{txt}  2{com}.                 areg  e_`x' fullomn infomn intomn b_`x' b_`x'_d  `fullomn_vace_int_e_controls' `e_controls_vace' `infomn_vace_int_e_controls' `intomn_vace_int_e_controls', robust cl(hc_id) a(district)
{txt}  3{com}.                 
.                 test infomn = intomn
{txt}  4{com}.                 estadd scalar f_wald = r(p)
{txt}  5{com}.                 
.                 test infomn = fullomn
{txt}  6{com}.                 estadd scalar f_wald1 = r(p)
{txt}  7{com}.                 
.                 test intomn = fullomn
{txt}  8{com}.                 estadd scalar f_wald2 = r(p)
{txt}  9{com}.                 
.                 test fullomn infomn intomn
{txt} 10{com}.                 estadd scalar f_3 = r(F)
{txt} 11{com}.                 estadd scalar f_wald3 = r(p)
{txt} 12{com}. 
.                 estimates store m`y'
{txt} 13{com}.                 
.                 {c )-}
{txt}note: b_immunization_z_d omitted because of collinearity
{res}
{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}     8,548
{txt}{col 49}F({res}  23{txt},{res}    375{txt}){col 67}= {res}      6.09
{txt}{col 49}Prob > F{col 67}= {res}    0.0000
{txt}{col 49}R-squared{col 67}= {res}    0.0453
{txt}{col 49}Adj R-squared{col 67}= {res}    0.0411
{txt}{col 49}Root MSE{col 67}= {res}    0.9636

{txt}{ralign 78:(Std. Err. adjusted for {res:376} clusters in hc_id)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}e_immuniza~z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 5}fullomn {c |}{col 14}{res}{space 2} .0478354{col 26}{space 2}  .035819{col 37}{space 1}    1.34{col 46}{space 3}0.183{col 54}{space 4}-.0225959{col 67}{space 3} .1182668
{txt}{space 6}infomn {c |}{col 14}{res}{space 2} .0256611{col 26}{space 2} .0344463{col 37}{space 1}    0.74{col 46}{space 3}0.457{col 54}{space 4}-.0420709{col 67}{space 3} .0933931
{txt}{space 6}intomn {c |}{col 14}{res}{space 2} .0487403{col 26}{space 2} .0341365{col 37}{space 1}    1.43{col 46}{space 3}0.154{col 54}{space 4}-.0183826{col 67}{space 3} .1158633
{txt}b_immuniza~z {c |}{col 14}{res}{space 2} .0641578{col 26}{space 2}  .011529{col 37}{space 1}    5.56{col 46}{space 3}0.000{col 54}{space 4} .0414883{col 67}{space 3} .0868274
{txt}b_immuni~z_d {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
c_ful~ce_hc2 {c |}{col 14}{res}{space 2} .0374435{col 26}{space 2} .0555996{col 37}{space 1}    0.67{col 46}{space 3}0.501{col 54}{space 4}-.0718826{col 67}{space 3} .1467695
{txt}c_fullomn_.. {c |}{col 14}{res}{space 2}-.0123233{col 26}{space 2} .0640138{col 37}{space 1}   -0.19{col 46}{space 3}0.847{col 54}{space 4}-.1381944{col 67}{space 3} .1135478
{txt}c_fullomn_.. {c |}{col 14}{res}{space 2}-.0165507{col 26}{space 2} .0757327{col 37}{space 1}   -0.22{col 46}{space 3}0.827{col 54}{space 4}-.1654646{col 67}{space 3} .1323632
{txt}c_fullomn_.. {c |}{col 14}{res}{space 2} .0415011{col 26}{space 2} .0915171{col 37}{space 1}    0.45{col 46}{space 3}0.650{col 54}{space 4}-.1384499{col 67}{space 3} .2214521
{txt}c_fullomn_.. {c |}{col 14}{res}{space 2} .0100933{col 26}{space 2}  .005753{col 37}{space 1}    1.75{col 46}{space 3}0.080{col 54}{space 4} -.001219{col 67}{space 3} .0214056
{txt}c_fullomn_.. {c |}{col 14}{res}{space 2}-.0575102{col 26}{space 2} .0290022{col 37}{space 1}   -1.98{col 46}{space 3}0.048{col 54}{space 4}-.1145375{col 67}{space 3}-.0004829
{txt}c_vace_b_a~x {c |}{col 14}{res}{space 2} .1063507{col 26}{space 2} .0186984{col 37}{space 1}    5.69{col 46}{space 3}0.000{col 54}{space 4} .0695839{col 67}{space 3} .1431174
{txt}c_inf~ce_hc2 {c |}{col 14}{res}{space 2} .0019276{col 26}{space 2} .0650567{col 37}{space 1}    0.03{col 46}{space 3}0.976{col 54}{space 4} -.125994{col 67}{space 3} .1298492
{txt}c_infomn_v.. {c |}{col 14}{res}{space 2} .0008062{col 26}{space 2} .0699746{col 37}{space 1}    0.01{col 46}{space 3}0.991{col 54}{space 4}-.1367855{col 67}{space 3}  .138398
{txt}c_infomn_v.. {c |}{col 14}{res}{space 2}-.1306809{col 26}{space 2} .0667791{col 37}{space 1}   -1.96{col 46}{space 3}0.051{col 54}{space 4}-.2619892{col 67}{space 3} .0006275
{txt}c_infomn_v.. {c |}{col 14}{res}{space 2} .1173621{col 26}{space 2}  .095548{col 37}{space 1}    1.23{col 46}{space 3}0.220{col 54}{space 4}-.0705149{col 67}{space 3} .3052391
{txt}c_infomn_v.. {c |}{col 14}{res}{space 2} .0170211{col 26}{space 2} .0054708{col 37}{space 1}    3.11{col 46}{space 3}0.002{col 54}{space 4} .0062637{col 67}{space 3} .0277785
{txt}c_infomn_v.. {c |}{col 14}{res}{space 2}-.0336333{col 26}{space 2} .0288563{col 37}{space 1}   -1.17{col 46}{space 3}0.245{col 54}{space 4}-.0903738{col 67}{space 3} .0231072
{txt}c_int~ce_hc2 {c |}{col 14}{res}{space 2}-.0621497{col 26}{space 2} .0584866{col 37}{space 1}   -1.06{col 46}{space 3}0.289{col 54}{space 4}-.1771525{col 67}{space 3} .0528531
{txt}c_intomn_v.. {c |}{col 14}{res}{space 2}-.0257932{col 26}{space 2} .0616759{col 37}{space 1}   -0.42{col 46}{space 3}0.676{col 54}{space 4}-.1470672{col 67}{space 3} .0954808
{txt}c_intomn_v.. {c |}{col 14}{res}{space 2}-.0365951{col 26}{space 2} .0678233{col 37}{space 1}   -0.54{col 46}{space 3}0.590{col 54}{space 4}-.1699568{col 67}{space 3} .0967666
{txt}c_intomn_v.. {c |}{col 14}{res}{space 2}-.0113731{col 26}{space 2} .0862193{col 37}{space 1}   -0.13{col 46}{space 3}0.895{col 54}{space 4} -.180907{col 67}{space 3} .1581607
{txt}c_intomn_v.. {c |}{col 14}{res}{space 2} .0051199{col 26}{space 2} .0050809{col 37}{space 1}    1.01{col 46}{space 3}0.314{col 54}{space 4}-.0048707{col 67}{space 3} .0151104
{txt}c_intomn_v.. {c |}{col 14}{res}{space 2}-.0324332{col 26}{space 2}  .032296{col 37}{space 1}   -1.00{col 46}{space 3}0.316{col 54}{space 4}-.0959371{col 67}{space 3} .0310707
{txt}{space 7}_cons {c |}{col 14}{res}{space 2}-.0075764{col 26}{space 2} .0252498{col 37}{space 1}   -0.30{col 46}{space 3}0.764{col 54}{space 4}-.0572252{col 67}{space 3} .0420725
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}infomn - intomn = 0{p_end}

{txt}       F(  1,   375) ={res}    0.49
{txt}{col 13}Prob > F ={res}    0.4849

{txt}added scalar:
             e(f_wald) =  {res}.48493436

{p 0 7}{space 1}{text:( 1)}{space 1}{space 1}{res}- fullomn + infomn = 0{p_end}

{txt}       F(  1,   375) ={res}    0.42
{txt}{col 13}Prob > F ={res}    0.5196

{txt}added scalar:
            e(f_wald1) =  {res}.51960512

{p 0 7}{space 1}{text:( 1)}{space 1}{space 1}{res}- fullomn + intomn = 0{p_end}

{txt}       F(  1,   375) ={res}    0.00
{txt}{col 13}Prob > F ={res}    0.9788

{txt}added scalar:
            e(f_wald2) =  {res}.9787581

{p 0 7}{space 1}{text:( 1)}{space 1} fullomn = 0{p_end}
{p 0 7}{space 1}{text:( 2)}{space 1} infomn = 0{p_end}
{p 0 7}{space 1}{text:( 3)}{space 1} intomn = 0{p_end}

{txt}       F(  3,   375) ={res}    0.86
{txt}{col 13}Prob > F ={res}    0.4626

{txt}added scalar:
                e(f_3) =  {res}.85874054

{txt}added scalar:
            e(f_wald3) =  {res}.46262635
{txt}
{com}. 
.         # delimit;
{txt}delimiter now ;
{com}.                 esttab m1 m4 m3 m2
>         using "${c -(}tables{c )-}/TableI40.tex", b(%5.3f) se(%5.3f)
>                 title(Utilization outcomes -- All treatment arms)
>                 keep(fullomn infomn intomn _cons)
>                 varlabels (fullomn "Full treatment" infomn "Information and mobilization only" intomn "Interface only" _cons "Constant")
>                 starlevels(* .10 ** .05 *** .01)                
>                 mtitles("\textbf{c -(}\begin{c -(}tabular{c )-}[c]{c -(}@{c -(}{c )-}c@{c -(}{c )-}{c )-}Utilization\\index\end{c -(}tabular{c )-}{c )-}"
>                                 "\begin{c -(}tabular{c )-}[c]{c -(}@{c -(}{c )-}c@{c -(}{c )-}{c )-}Vaccination rates,\\children\textless 36 months\end{c -(}tabular{c )-}"
>                                 "\begin{c -(}tabular{c )-}[c]{c -(}@{c -(}{c )-}c@{c -(}{c )-}{c )-}\% of visits to HC,\\vs. other providers\end{c -(}tabular{c )-}"
>                                 "\begin{c -(}tabular{c )-}[c]{c -(}@{c -(}{c )-}c@{c -(}{c )-}{c )-}Number of visits\\ to HC\end{c -(}tabular{c )-}")
>                 stats(N r2 f_wald f_wald1 f_wald2 hline f_3 f_wald3, labels("N" "R$^{c -(}2{c )-}$" "P-value (Information and mobilization = Interface)" "P-value (Information and mobilization = Full treatment)" "P-value (Interface = Full treatment)" "\hline" "F-test (joint significance of all 3 treatment groups)" "P-value (joint significance of all 3 treatment groups)") fmt(%9.0fc %9.3fc)) label booktabs nonotes replace
>         
>         ;
{res}{txt}(output written to {browse  `"/Users/fredericcochinard/Dropbox/ACT_Health_JOP_replication_file/3.Tables and Figures/Tables/TableI40.tex"'})

{com}.                 # delimit cr
{txt}delimiter now cr
{com}.         
.         **************************************************************
.         * Table I41: Treatment quality outcomes – All treatment arms *
.         **************************************************************
.         
.         * We work on the coefficient plot for the utilization indice
.         
.         use "${c -(}usedata{c )-}/chp_el_light_dataset.dta", clear
{txt}
{com}.         
.         * At endline:
.         
.         eststo clear
{txt}
{com}.         
.         local y = 1
{txt}
{com}.         foreach x in `treatmentqual' {c -(}
{txt}  2{com}.                 areg  e_`x' fullomn infomn intomn b_`x' b_`x'_d `fullomn_int_e_controls' `e_controls' `infomn_int_e_controls' `intomn_int_e_controls', robust cl(hc_id) a(district)
{txt}  3{com}.                 
.                 test infomn = intomn
{txt}  4{com}.                 estadd scalar f_wald = r(p)
{txt}  5{com}.                 
.                 test infomn = fullomn
{txt}  6{com}.                 estadd scalar f_wald1 = r(p)
{txt}  7{com}.                 
.                 test intomn = fullomn
{txt}  8{com}.                 estadd scalar f_wald2 = r(p)
{txt}  9{com}.                 
.                 test fullomn infomn intomn
{txt} 10{com}.                 estadd scalar f_3 = r(F)
{txt} 11{com}.                 estadd scalar f_wald3 = r(p)
{txt} 12{com}.                 
.                 estimates store m`y'
{txt} 13{com}.                 
.                 local y = `y' + 1
{txt} 14{com}.                 {c )-}
{txt}note: b_treatqual_z_d omitted because of collinearity
{res}
{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}    14,609
{txt}{col 49}F({res}  25{txt},{res}    375{txt}){col 67}= {res}      3.74
{txt}{col 49}Prob > F{col 67}= {res}    0.0000
{txt}{col 49}R-squared{col 67}= {res}    0.0972
{txt}{col 49}Adj R-squared{col 67}= {res}    0.0947
{txt}{col 49}Root MSE{col 67}= {res}    0.3568

{txt}{ralign 78:(Std. Err. adjusted for {res:376} clusters in hc_id)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}e_treatq~l_z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 5}fullomn {c |}{col 14}{res}{space 2} .0690701{col 26}{space 2} .0268954{col 37}{space 1}    2.57{col 46}{space 3}0.011{col 54}{space 4} .0161854{col 67}{space 3} .1219547
{txt}{space 6}infomn {c |}{col 14}{res}{space 2} .0105125{col 26}{space 2} .0300618{col 37}{space 1}    0.35{col 46}{space 3}0.727{col 54}{space 4}-.0485983{col 67}{space 3} .0696233
{txt}{space 6}intomn {c |}{col 14}{res}{space 2} .0196852{col 26}{space 2} .0273427{col 37}{space 1}    0.72{col 46}{space 3}0.472{col 54}{space 4}-.0340791{col 67}{space 3} .0734495
{txt}b_treatq~l_z {c |}{col 14}{res}{space 2} .0897347{col 26}{space 2} .0162367{col 37}{space 1}    5.53{col 46}{space 3}0.000{col 54}{space 4} .0578084{col 67}{space 3} .1216611
{txt}b_trea~l_z_d {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
c_full~n_hc2 {c |}{col 14}{res}{space 2}-.0254226{col 26}{space 2} .0364186{col 37}{space 1}   -0.70{col 46}{space 3}0.486{col 54}{space 4}-.0970328{col 67}{space 3} .0461876
{txt}c_fullomn_.. {c |}{col 14}{res}{space 2} .0214611{col 26}{space 2} .0385845{col 37}{space 1}    0.56{col 46}{space 3}0.578{col 54}{space 4} -.054408{col 67}{space 3} .0973302
{txt}c_fullomn_.. {c |}{col 14}{res}{space 2} -.006176{col 26}{space 2}   .05024{col 37}{space 1}   -0.12{col 46}{space 3}0.902{col 54}{space 4}-.1049634{col 67}{space 3} .0926114
{txt}c_fullomn_.. {c |}{col 14}{res}{space 2} .0340632{col 26}{space 2} .0328555{col 37}{space 1}    1.04{col 46}{space 3}0.301{col 54}{space 4}-.0305409{col 67}{space 3} .0986672
{txt}c_f~n_educyr {c |}{col 14}{res}{space 2} .0014616{col 26}{space 2}  .002321{col 37}{space 1}    0.63{col 46}{space 3}0.529{col 54}{space 4}-.0031022{col 67}{space 3} .0060254
{txt}c_fullomn_.. {c |}{col 14}{res}{space 2}-.0203324{col 26}{space 2} .0144952{col 37}{space 1}   -1.40{col 46}{space 3}0.162{col 54}{space 4}-.0488346{col 67}{space 3} .0081697
{txt}c_b_visite~d {c |}{col 14}{res}{space 2} .0130165{col 26}{space 2} .0250836{col 37}{space 1}    0.52{col 46}{space 3}0.604{col 54}{space 4}-.0363056{col 67}{space 3} .0623386
{txt}{space 4}c_educyr {c |}{col 14}{res}{space 2}-.0023338{col 26}{space 2} .0017318{col 37}{space 1}   -1.35{col 46}{space 3}0.179{col 54}{space 4} -.005739{col 67}{space 3} .0010713
{txt}c_b_asseti~x {c |}{col 14}{res}{space 2} .0091345{col 26}{space 2} .0104346{col 37}{space 1}    0.88{col 46}{space 3}0.382{col 54}{space 4}-.0113832{col 67}{space 3} .0296522
{txt}c_infomn_hc2 {c |}{col 14}{res}{space 2} .0028125{col 26}{space 2} .0551073{col 37}{space 1}    0.05{col 46}{space 3}0.959{col 54}{space 4}-.1055455{col 67}{space 3} .1111704
{txt}c_infomn_b~l {c |}{col 14}{res}{space 2} .0314633{col 26}{space 2} .0588069{col 37}{space 1}    0.54{col 46}{space 3}0.593{col 54}{space 4}-.0841693{col 67}{space 3} .1470958
{txt}c_infomn_b~s {c |}{col 14}{res}{space 2}  .051838{col 26}{space 2} .0736619{col 37}{space 1}    0.70{col 46}{space 3}0.482{col 54}{space 4}-.0930041{col 67}{space 3} .1966801
{txt}c_infomn_b.. {c |}{col 14}{res}{space 2} .0098639{col 26}{space 2}   .03412{col 37}{space 1}    0.29{col 46}{space 3}0.773{col 54}{space 4}-.0572265{col 67}{space 3} .0769544
{txt}c_infomn_e~r {c |}{col 14}{res}{space 2} .0012992{col 26}{space 2} .0024049{col 37}{space 1}    0.54{col 46}{space 3}0.589{col 54}{space 4}-.0034296{col 67}{space 3}  .006028
{txt}c_infomn_b.. {c |}{col 14}{res}{space 2} -.023367{col 26}{space 2} .0158975{col 37}{space 1}   -1.47{col 46}{space 3}0.142{col 54}{space 4}-.0546264{col 67}{space 3} .0078925
{txt}c_intomn_hc2 {c |}{col 14}{res}{space 2}-.1003563{col 26}{space 2} .0436545{col 37}{space 1}   -2.30{col 46}{space 3}0.022{col 54}{space 4}-.1861945{col 67}{space 3} -.014518
{txt}c_intomn_b~l {c |}{col 14}{res}{space 2} .0071028{col 26}{space 2} .0463984{col 37}{space 1}    0.15{col 46}{space 3}0.878{col 54}{space 4}-.0841307{col 67}{space 3} .0983364
{txt}c_intomn_b~s {c |}{col 14}{res}{space 2} .1386446{col 26}{space 2} .0535841{col 37}{space 1}    2.59{col 46}{space 3}0.010{col 54}{space 4} .0332817{col 67}{space 3} .2440076
{txt}c_intomn_b.. {c |}{col 14}{res}{space 2} .0077286{col 26}{space 2} .0352607{col 37}{space 1}    0.22{col 46}{space 3}0.827{col 54}{space 4}-.0616049{col 67}{space 3}  .077062
{txt}c_intomn_e~r {c |}{col 14}{res}{space 2} .0030251{col 26}{space 2} .0022822{col 37}{space 1}    1.33{col 46}{space 3}0.186{col 54}{space 4}-.0014624{col 67}{space 3} .0075127
{txt}c_intomn_b.. {c |}{col 14}{res}{space 2}-.0273328{col 26}{space 2} .0145916{col 37}{space 1}   -1.87{col 46}{space 3}0.062{col 54}{space 4}-.0560245{col 67}{space 3} .0013589
{txt}{space 7}_cons {c |}{col 14}{res}{space 2}  .000227{col 26}{space 2} .0218243{col 37}{space 1}    0.01{col 46}{space 3}0.992{col 54}{space 4}-.0426864{col 67}{space 3} .0431403
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}infomn - intomn = 0{p_end}

{txt}       F(  1,   375) ={res}    0.12
{txt}{col 13}Prob > F ={res}    0.7271

{txt}added scalar:
             e(f_wald) =  {res}.72713539

{p 0 7}{space 1}{text:( 1)}{space 1}{space 1}{res}- fullomn + infomn = 0{p_end}

{txt}       F(  1,   375) ={res}    5.18
{txt}{col 13}Prob > F ={res}    0.0234

{txt}added scalar:
            e(f_wald1) =  {res}.02336217

{p 0 7}{space 1}{text:( 1)}{space 1}{space 1}{res}- fullomn + intomn = 0{p_end}

{txt}       F(  1,   375) ={res}    4.70
{txt}{col 13}Prob > F ={res}    0.0308

{txt}added scalar:
            e(f_wald2) =  {res}.03079386

{p 0 7}{space 1}{text:( 1)}{space 1} fullomn = 0{p_end}
{p 0 7}{space 1}{text:( 2)}{space 1} infomn = 0{p_end}
{p 0 7}{space 1}{text:( 3)}{space 1} intomn = 0{p_end}

{txt}       F(  3,   375) ={res}    3.14
{txt}{col 13}Prob > F ={res}    0.0254

{txt}added scalar:
                e(f_3) =  {res}3.1383175

{txt}added scalar:
            e(f_wald3) =  {res}.02542863

{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}    14,609
{txt}{col 49}F({res}  26{txt},{res}    375{txt}){col 67}= {res}      2.73
{txt}{col 49}Prob > F{col 67}= {res}    0.0000
{txt}{col 49}R-squared{col 67}= {res}    0.0295
{txt}{col 49}Adj R-squared{col 67}= {res}    0.0268
{txt}{col 49}Root MSE{col 67}= {res}    0.9837

{txt}{ralign 78:(Std. Err. adjusted for {res:376} clusters in hc_id)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}e_use_equi~z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 5}fullomn {c |}{col 14}{res}{space 2} .0580182{col 26}{space 2} .0368673{col 37}{space 1}    1.57{col 46}{space 3}0.116{col 54}{space 4}-.0144743{col 67}{space 3} .1305106
{txt}{space 6}infomn {c |}{col 14}{res}{space 2}-.0413277{col 26}{space 2} .0396565{col 37}{space 1}   -1.04{col 46}{space 3}0.298{col 54}{space 4}-.1193046{col 67}{space 3} .0366493
{txt}{space 6}intomn {c |}{col 14}{res}{space 2}  .031854{col 26}{space 2} .0421314{col 37}{space 1}    0.76{col 46}{space 3}0.450{col 54}{space 4}-.0509893{col 67}{space 3} .1146974
{txt}b_use_equi~z {c |}{col 14}{res}{space 2} .0335074{col 26}{space 2} .0098235{col 37}{space 1}    3.41{col 46}{space 3}0.001{col 54}{space 4} .0141913{col 67}{space 3} .0528235
{txt}b_use_eq~z_d {c |}{col 14}{res}{space 2}-.0907174{col 26}{space 2} .0225307{col 37}{space 1}   -4.03{col 46}{space 3}0.000{col 54}{space 4}-.1350197{col 67}{space 3}-.0464151
{txt}c_full~n_hc2 {c |}{col 14}{res}{space 2} .0614937{col 26}{space 2} .0561178{col 37}{space 1}    1.10{col 46}{space 3}0.274{col 54}{space 4}-.0488514{col 67}{space 3} .1718387
{txt}c_fullomn_.. {c |}{col 14}{res}{space 2}-.0404041{col 26}{space 2}  .064226{col 37}{space 1}   -0.63{col 46}{space 3}0.530{col 54}{space 4}-.1666922{col 67}{space 3} .0858841
{txt}c_fullomn_.. {c |}{col 14}{res}{space 2}-.0337293{col 26}{space 2} .0710386{col 37}{space 1}   -0.47{col 46}{space 3}0.635{col 54}{space 4}-.1734131{col 67}{space 3} .1059546
{txt}c_fullomn_.. {c |}{col 14}{res}{space 2} .1226975{col 26}{space 2} .0702269{col 37}{space 1}    1.75{col 46}{space 3}0.081{col 54}{space 4}-.0153903{col 67}{space 3} .2607854
{txt}c_f~n_educyr {c |}{col 14}{res}{space 2} .0009419{col 26}{space 2}  .006214{col 37}{space 1}    0.15{col 46}{space 3}0.880{col 54}{space 4}-.0112767{col 67}{space 3} .0131606
{txt}c_fullomn_.. {c |}{col 14}{res}{space 2} .0129899{col 26}{space 2} .0276289{col 37}{space 1}    0.47{col 46}{space 3}0.639{col 54}{space 4}-.0413371{col 67}{space 3}  .067317
{txt}c_b_visite~d {c |}{col 14}{res}{space 2}-.0601119{col 26}{space 2} .0587612{col 37}{space 1}   -1.02{col 46}{space 3}0.307{col 54}{space 4}-.1756547{col 67}{space 3}  .055431
{txt}{space 4}c_educyr {c |}{col 14}{res}{space 2} .0040432{col 26}{space 2} .0044066{col 37}{space 1}    0.92{col 46}{space 3}0.359{col 54}{space 4}-.0046216{col 67}{space 3} .0127079
{txt}c_b_asseti~x {c |}{col 14}{res}{space 2}-.0378347{col 26}{space 2} .0204438{col 37}{space 1}   -1.85{col 46}{space 3}0.065{col 54}{space 4}-.0780336{col 67}{space 3} .0023642
{txt}c_infomn_hc2 {c |}{col 14}{res}{space 2} .2155217{col 26}{space 2} .0705837{col 37}{space 1}    3.05{col 46}{space 3}0.002{col 54}{space 4} .0767322{col 67}{space 3} .3543112
{txt}c_infomn_b~l {c |}{col 14}{res}{space 2} .1816412{col 26}{space 2} .0707626{col 37}{space 1}    2.57{col 46}{space 3}0.011{col 54}{space 4}    .0425{col 67}{space 3} .3207825
{txt}c_infomn_b~s {c |}{col 14}{res}{space 2} .0810719{col 26}{space 2} .0955652{col 37}{space 1}    0.85{col 46}{space 3}0.397{col 54}{space 4} -.106839{col 67}{space 3} .2689828
{txt}c_infomn_b.. {c |}{col 14}{res}{space 2} .1063575{col 26}{space 2}  .076841{col 37}{space 1}    1.38{col 46}{space 3}0.167{col 54}{space 4}-.0447357{col 67}{space 3} .2574506
{txt}c_infomn_e~r {c |}{col 14}{res}{space 2}-.0073043{col 26}{space 2} .0060219{col 37}{space 1}   -1.21{col 46}{space 3}0.226{col 54}{space 4}-.0191452{col 67}{space 3} .0045367
{txt}c_infomn_b.. {c |}{col 14}{res}{space 2} .0440216{col 26}{space 2} .0307972{col 37}{space 1}    1.43{col 46}{space 3}0.154{col 54}{space 4}-.0165352{col 67}{space 3} .1045785
{txt}c_intomn_hc2 {c |}{col 14}{res}{space 2}-.0143415{col 26}{space 2} .0781914{col 37}{space 1}   -0.18{col 46}{space 3}0.855{col 54}{space 4}-.1680901{col 67}{space 3} .1394071
{txt}c_intomn_b~l {c |}{col 14}{res}{space 2} .1504533{col 26}{space 2} .0834157{col 37}{space 1}    1.80{col 46}{space 3}0.072{col 54}{space 4}-.0135679{col 67}{space 3} .3144745
{txt}c_intomn_b~s {c |}{col 14}{res}{space 2}-.0197015{col 26}{space 2} .0865271{col 37}{space 1}   -0.23{col 46}{space 3}0.820{col 54}{space 4}-.1898407{col 67}{space 3} .1504376
{txt}c_intomn_b.. {c |}{col 14}{res}{space 2} .0185349{col 26}{space 2} .0897102{col 37}{space 1}    0.21{col 46}{space 3}0.836{col 54}{space 4}-.1578632{col 67}{space 3}  .194933
{txt}c_intomn_e~r {c |}{col 14}{res}{space 2}-.0078533{col 26}{space 2} .0061185{col 37}{space 1}   -1.28{col 46}{space 3}0.200{col 54}{space 4}-.0198843{col 67}{space 3} .0041776
{txt}c_intomn_b.. {c |}{col 14}{res}{space 2} .0537298{col 26}{space 2}  .028551{col 37}{space 1}    1.88{col 46}{space 3}0.061{col 54}{space 4}-.0024103{col 67}{space 3} .1098699
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} .0262833{col 26}{space 2} .0282601{col 37}{space 1}    0.93{col 46}{space 3}0.353{col 54}{space 4}-.0292847{col 67}{space 3} .0818514
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}infomn - intomn = 0{p_end}

{txt}       F(  1,   375) ={res}    2.91
{txt}{col 13}Prob > F ={res}    0.0887

{txt}added scalar:
             e(f_wald) =  {res}.08871169

{p 0 7}{space 1}{text:( 1)}{space 1}{space 1}{res}- fullomn + infomn = 0{p_end}

{txt}       F(  1,   375) ={res}    6.87
{txt}{col 13}Prob > F ={res}    0.0091

{txt}added scalar:
            e(f_wald1) =  {res}.00913904

{p 0 7}{space 1}{text:( 1)}{space 1}{space 1}{res}- fullomn + intomn = 0{p_end}

{txt}       F(  1,   375) ={res}    0.43
{txt}{col 13}Prob > F ={res}    0.5130

{txt}added scalar:
            e(f_wald2) =  {res}.51302652

{p 0 7}{space 1}{text:( 1)}{space 1} fullomn = 0{p_end}
{p 0 7}{space 1}{text:( 2)}{space 1} infomn = 0{p_end}
{p 0 7}{space 1}{text:( 3)}{space 1} intomn = 0{p_end}

{txt}       F(  3,   375) ={res}    2.47
{txt}{col 13}Prob > F ={res}    0.0616

{txt}added scalar:
                e(f_3) =  {res}2.4704666

{txt}added scalar:
            e(f_wald3) =  {res}.06157144

{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}    14,609
{txt}{col 49}F({res}  26{txt},{res}    375{txt}){col 67}= {res}      9.96
{txt}{col 49}Prob > F{col 67}= {res}    0.0000
{txt}{col 49}R-squared{col 67}= {res}    0.0943
{txt}{col 49}Adj R-squared{col 67}= {res}    0.0917
{txt}{col 49}Root MSE{col 67}= {res}    0.9628

{txt}{ralign 78:(Std. Err. adjusted for {res:376} clusters in hc_id)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}e_tot_wait_z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 5}fullomn {c |}{col 14}{res}{space 2}-.0034507{col 26}{space 2} .0524438{col 37}{space 1}   -0.07{col 46}{space 3}0.948{col 54}{space 4}-.1065715{col 67}{space 3} .0996701
{txt}{space 6}infomn {c |}{col 14}{res}{space 2}-.0176281{col 26}{space 2} .0465249{col 37}{space 1}   -0.38{col 46}{space 3}0.705{col 54}{space 4}-.1091106{col 67}{space 3} .0738544
{txt}{space 6}intomn {c |}{col 14}{res}{space 2}-.0423521{col 26}{space 2} .0489951{col 37}{space 1}   -0.86{col 46}{space 3}0.388{col 54}{space 4}-.1386916{col 67}{space 3} .0539874
{txt}b_tot_wait_z {c |}{col 14}{res}{space 2} .1094699{col 26}{space 2} .0106168{col 37}{space 1}   10.31{col 46}{space 3}0.000{col 54}{space 4}  .088594{col 67}{space 3} .1303457
{txt}b_tot_wa~z_d {c |}{col 14}{res}{space 2} .0287742{col 26}{space 2} .0217862{col 37}{space 1}    1.32{col 46}{space 3}0.187{col 54}{space 4}-.0140643{col 67}{space 3} .0716127
{txt}c_full~n_hc2 {c |}{col 14}{res}{space 2}-.2057513{col 26}{space 2} .0775369{col 37}{space 1}   -2.65{col 46}{space 3}0.008{col 54}{space 4} -.358213{col 67}{space 3}-.0532897
{txt}c_fullomn_.. {c |}{col 14}{res}{space 2} .1617103{col 26}{space 2} .0933699{col 37}{space 1}    1.73{col 46}{space 3}0.084{col 54}{space 4}-.0218839{col 67}{space 3} .3453044
{txt}c_fullomn_.. {c |}{col 14}{res}{space 2}-.0612493{col 26}{space 2}  .108356{col 37}{space 1}   -0.57{col 46}{space 3}0.572{col 54}{space 4}-.2743108{col 67}{space 3} .1518121
{txt}c_fullomn_.. {c |}{col 14}{res}{space 2} .1482823{col 26}{space 2} .0801377{col 37}{space 1}    1.85{col 46}{space 3}0.065{col 54}{space 4}-.0092934{col 67}{space 3}  .305858
{txt}c_f~n_educyr {c |}{col 14}{res}{space 2}-.0043315{col 26}{space 2} .0061955{col 37}{space 1}   -0.70{col 46}{space 3}0.485{col 54}{space 4}-.0165137{col 67}{space 3} .0078507
{txt}c_fullomn_.. {c |}{col 14}{res}{space 2}  .000785{col 26}{space 2} .0303234{col 37}{space 1}    0.03{col 46}{space 3}0.979{col 54}{space 4}-.0588402{col 67}{space 3} .0604103
{txt}c_b_visite~d {c |}{col 14}{res}{space 2} .0306735{col 26}{space 2} .0609369{col 37}{space 1}    0.50{col 46}{space 3}0.615{col 54}{space 4}-.0891474{col 67}{space 3} .1504943
{txt}{space 4}c_educyr {c |}{col 14}{res}{space 2}-.0062428{col 26}{space 2} .0044561{col 37}{space 1}   -1.40{col 46}{space 3}0.162{col 54}{space 4}-.0150049{col 67}{space 3} .0025194
{txt}c_b_asseti~x {c |}{col 14}{res}{space 2}-.0243095{col 26}{space 2} .0214289{col 37}{space 1}   -1.13{col 46}{space 3}0.257{col 54}{space 4}-.0664454{col 67}{space 3} .0178264
{txt}c_infomn_hc2 {c |}{col 14}{res}{space 2}-.1651699{col 26}{space 2} .0689117{col 37}{space 1}   -2.40{col 46}{space 3}0.017{col 54}{space 4}-.3006717{col 67}{space 3} -.029668
{txt}c_infomn_b~l {c |}{col 14}{res}{space 2} .1843189{col 26}{space 2} .0704402{col 37}{space 1}    2.62{col 46}{space 3}0.009{col 54}{space 4} .0458117{col 67}{space 3} .3228262
{txt}c_infomn_b~s {c |}{col 14}{res}{space 2}-.0407632{col 26}{space 2} .0811373{col 37}{space 1}   -0.50{col 46}{space 3}0.616{col 54}{space 4}-.2003043{col 67}{space 3} .1187778
{txt}c_infomn_b.. {c |}{col 14}{res}{space 2} .0461923{col 26}{space 2} .0837775{col 37}{space 1}    0.55{col 46}{space 3}0.582{col 54}{space 4}-.1185403{col 67}{space 3} .2109249
{txt}c_infomn_e~r {c |}{col 14}{res}{space 2}-.0015125{col 26}{space 2} .0060227{col 37}{space 1}   -0.25{col 46}{space 3}0.802{col 54}{space 4} -.013355{col 67}{space 3} .0103301
{txt}c_infomn_b.. {c |}{col 14}{res}{space 2}-.0301799{col 26}{space 2} .0284726{col 37}{space 1}   -1.06{col 46}{space 3}0.290{col 54}{space 4}-.0861658{col 67}{space 3}  .025806
{txt}c_intomn_hc2 {c |}{col 14}{res}{space 2}-.2352929{col 26}{space 2} .0817393{col 37}{space 1}   -2.88{col 46}{space 3}0.004{col 54}{space 4}-.3960177{col 67}{space 3}-.0745682
{txt}c_intomn_b~l {c |}{col 14}{res}{space 2} .1463653{col 26}{space 2} .0887919{col 37}{space 1}    1.65{col 46}{space 3}0.100{col 54}{space 4} -.028227{col 67}{space 3} .3209576
{txt}c_intomn_b~s {c |}{col 14}{res}{space 2}-.0230326{col 26}{space 2} .0909524{col 37}{space 1}   -0.25{col 46}{space 3}0.800{col 54}{space 4}-.2018733{col 67}{space 3} .1558081
{txt}c_intomn_b.. {c |}{col 14}{res}{space 2}-.0158877{col 26}{space 2} .0834179{col 37}{space 1}   -0.19{col 46}{space 3}0.849{col 54}{space 4}-.1799131{col 67}{space 3} .1481378
{txt}c_intomn_e~r {c |}{col 14}{res}{space 2}  .008516{col 26}{space 2} .0061348{col 37}{space 1}    1.39{col 46}{space 3}0.166{col 54}{space 4}-.0035471{col 67}{space 3}  .020579
{txt}c_intomn_b.. {c |}{col 14}{res}{space 2}-.0575734{col 26}{space 2} .0310845{col 37}{space 1}   -1.85{col 46}{space 3}0.065{col 54}{space 4}-.1186951{col 67}{space 3} .0035484
{txt}{space 7}_cons {c |}{col 14}{res}{space 2}-.0277391{col 26}{space 2}   .03824{col 37}{space 1}   -0.73{col 46}{space 3}0.469{col 54}{space 4}-.1029309{col 67}{space 3} .0474527
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}infomn - intomn = 0{p_end}

{txt}       F(  1,   375) ={res}    0.36
{txt}{col 13}Prob > F ={res}    0.5507

{txt}added scalar:
             e(f_wald) =  {res}.55074591

{p 0 7}{space 1}{text:( 1)}{space 1}{space 1}{res}- fullomn + infomn = 0{p_end}

{txt}       F(  1,   375) ={res}    0.10
{txt}{col 13}Prob > F ={res}    0.7530

{txt}added scalar:
            e(f_wald1) =  {res}.75298349

{p 0 7}{space 1}{text:( 1)}{space 1}{space 1}{res}- fullomn + intomn = 0{p_end}

{txt}       F(  1,   375) ={res}    0.67
{txt}{col 13}Prob > F ={res}    0.4127

{txt}added scalar:
            e(f_wald2) =  {res}.41268751

{p 0 7}{space 1}{text:( 1)}{space 1} fullomn = 0{p_end}
{p 0 7}{space 1}{text:( 2)}{space 1} infomn = 0{p_end}
{p 0 7}{space 1}{text:( 3)}{space 1} intomn = 0{p_end}

{txt}       F(  3,   375) ={res}    0.34
{txt}{col 13}Prob > F ={res}    0.7991

{txt}added scalar:
                e(f_3) =  {res}.33636042

{txt}added scalar:
            e(f_wald3) =  {res}.79905781

{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}    14,609
{txt}{col 49}F({res}  26{txt},{res}    375{txt}){col 67}= {res}      0.72
{txt}{col 49}Prob > F{col 67}= {res}    0.8435
{txt}{col 49}R-squared{col 67}= {res}    0.0146
{txt}{col 49}Adj R-squared{col 67}= {res}    0.0119
{txt}{col 49}Root MSE{col 67}= {res}    0.9012

{txt}{ralign 78:(Std. Err. adjusted for {res:376} clusters in hc_id)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1} e_trained_z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 5}fullomn {c |}{col 14}{res}{space 2} .0066326{col 26}{space 2} .0328799{col 37}{space 1}    0.20{col 46}{space 3}0.840{col 54}{space 4}-.0580195{col 67}{space 3} .0712848
{txt}{space 6}infomn {c |}{col 14}{res}{space 2} .0059616{col 26}{space 2} .0407518{col 37}{space 1}    0.15{col 46}{space 3}0.884{col 54}{space 4} -.074169{col 67}{space 3} .0860922
{txt}{space 6}intomn {c |}{col 14}{res}{space 2} .0183709{col 26}{space 2} .0340884{col 37}{space 1}    0.54{col 46}{space 3}0.590{col 54}{space 4}-.0486576{col 67}{space 3} .0853993
{txt}{space 1}b_trained_z {c |}{col 14}{res}{space 2} .0561754{col 26}{space 2} .0555052{col 37}{space 1}    1.01{col 46}{space 3}0.312{col 54}{space 4}-.0529651{col 67}{space 3} .1653158
{txt}b_traine~z_d {c |}{col 14}{res}{space 2} .0048462{col 26}{space 2} .0170176{col 37}{space 1}    0.28{col 46}{space 3}0.776{col 54}{space 4}-.0286157{col 67}{space 3} .0383082
{txt}c_full~n_hc2 {c |}{col 14}{res}{space 2}-.0428403{col 26}{space 2} .0425337{col 37}{space 1}   -1.01{col 46}{space 3}0.314{col 54}{space 4}-.1264749{col 67}{space 3} .0407942
{txt}c_fullomn_.. {c |}{col 14}{res}{space 2}-.0433429{col 26}{space 2} .0368699{col 37}{space 1}   -1.18{col 46}{space 3}0.241{col 54}{space 4}-.1158407{col 67}{space 3} .0291548
{txt}c_fullomn_.. {c |}{col 14}{res}{space 2}-.0024759{col 26}{space 2} .0156272{col 37}{space 1}   -0.16{col 46}{space 3}0.874{col 54}{space 4}-.0332038{col 67}{space 3}  .028252
{txt}c_fullomn_.. {c |}{col 14}{res}{space 2} .0125317{col 26}{space 2} .0293467{col 37}{space 1}    0.43{col 46}{space 3}0.670{col 54}{space 4}-.0451731{col 67}{space 3} .0702364
{txt}c_f~n_educyr {c |}{col 14}{res}{space 2} .0080651{col 26}{space 2} .0051278{col 37}{space 1}    1.57{col 46}{space 3}0.117{col 54}{space 4}-.0020177{col 67}{space 3} .0181478
{txt}c_fullomn_.. {c |}{col 14}{res}{space 2}-.0314763{col 26}{space 2}  .021555{col 37}{space 1}   -1.46{col 46}{space 3}0.145{col 54}{space 4}-.0738601{col 67}{space 3} .0109075
{txt}c_b_visite~d {c |}{col 14}{res}{space 2}-.0199995{col 26}{space 2} .0307589{col 37}{space 1}   -0.65{col 46}{space 3}0.516{col 54}{space 4}-.0804811{col 67}{space 3} .0404821
{txt}{space 4}c_educyr {c |}{col 14}{res}{space 2}-.0060323{col 26}{space 2} .0039249{col 37}{space 1}   -1.54{col 46}{space 3}0.125{col 54}{space 4}-.0137499{col 67}{space 3} .0016853
{txt}c_b_asseti~x {c |}{col 14}{res}{space 2} .0229963{col 26}{space 2} .0165482{col 37}{space 1}    1.39{col 46}{space 3}0.165{col 54}{space 4}-.0095425{col 67}{space 3} .0555352
{txt}c_infomn_hc2 {c |}{col 14}{res}{space 2}-.0627237{col 26}{space 2} .0878887{col 37}{space 1}   -0.71{col 46}{space 3}0.476{col 54}{space 4}-.2355401{col 67}{space 3} .1100928
{txt}c_infomn_b~l {c |}{col 14}{res}{space 2}-.0478298{col 26}{space 2} .0777495{col 37}{space 1}   -0.62{col 46}{space 3}0.539{col 54}{space 4}-.2007094{col 67}{space 3} .1050498
{txt}c_infomn_b~s {c |}{col 14}{res}{space 2}-.0301955{col 26}{space 2} .0239766{col 37}{space 1}   -1.26{col 46}{space 3}0.209{col 54}{space 4}-.0773409{col 67}{space 3} .0169499
{txt}c_infomn_b.. {c |}{col 14}{res}{space 2}-.0003472{col 26}{space 2} .0345568{col 37}{space 1}   -0.01{col 46}{space 3}0.992{col 54}{space 4}-.0682966{col 67}{space 3} .0676022
{txt}c_infomn_e~r {c |}{col 14}{res}{space 2}  .013514{col 26}{space 2} .0057512{col 37}{space 1}    2.35{col 46}{space 3}0.019{col 54}{space 4} .0022053{col 67}{space 3} .0248227
{txt}c_infomn_b.. {c |}{col 14}{res}{space 2}-.0781358{col 26}{space 2} .0367921{col 37}{space 1}   -2.12{col 46}{space 3}0.034{col 54}{space 4}-.1504804{col 67}{space 3}-.0057911
{txt}c_intomn_hc2 {c |}{col 14}{res}{space 2} -.019713{col 26}{space 2} .0479868{col 37}{space 1}   -0.41{col 46}{space 3}0.681{col 54}{space 4}  -.11407{col 67}{space 3}  .074644
{txt}c_intomn_b~l {c |}{col 14}{res}{space 2} .0490916{col 26}{space 2} .0546731{col 37}{space 1}    0.90{col 46}{space 3}0.370{col 54}{space 4}-.0584127{col 67}{space 3} .1565959
{txt}c_intomn_b~s {c |}{col 14}{res}{space 2}  .063632{col 26}{space 2} .0702582{col 37}{space 1}    0.91{col 46}{space 3}0.366{col 54}{space 4}-.0745174{col 67}{space 3} .2017814
{txt}c_intomn_b.. {c |}{col 14}{res}{space 2}  .007832{col 26}{space 2} .0339191{col 37}{space 1}    0.23{col 46}{space 3}0.818{col 54}{space 4}-.0588635{col 67}{space 3} .0745275
{txt}c_intomn_e~r {c |}{col 14}{res}{space 2} .0019384{col 26}{space 2} .0048072{col 37}{space 1}    0.40{col 46}{space 3}0.687{col 54}{space 4}-.0075142{col 67}{space 3} .0113909
{txt}c_intomn_b.. {c |}{col 14}{res}{space 2}-.0224265{col 26}{space 2} .0241255{col 37}{space 1}   -0.93{col 46}{space 3}0.353{col 54}{space 4}-.0698647{col 67}{space 3} .0250117
{txt}{space 7}_cons {c |}{col 14}{res}{space 2}-.0023348{col 26}{space 2} .0273913{col 37}{space 1}   -0.09{col 46}{space 3}0.932{col 54}{space 4}-.0561945{col 67}{space 3} .0515249
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}infomn - intomn = 0{p_end}

{txt}       F(  1,   375) ={res}    0.15
{txt}{col 13}Prob > F ={res}    0.6990

{txt}added scalar:
             e(f_wald) =  {res}.69900214

{p 0 7}{space 1}{text:( 1)}{space 1}{space 1}{res}- fullomn + infomn = 0{p_end}

{txt}       F(  1,   375) ={res}    0.00
{txt}{col 13}Prob > F ={res}    0.9826

{txt}added scalar:
            e(f_wald1) =  {res}.98263155

{p 0 7}{space 1}{text:( 1)}{space 1}{space 1}{res}- fullomn + intomn = 0{p_end}

{txt}       F(  1,   375) ={res}    0.26
{txt}{col 13}Prob > F ={res}    0.6137

{txt}added scalar:
            e(f_wald2) =  {res}.61373353

{p 0 7}{space 1}{text:( 1)}{space 1} fullomn = 0{p_end}
{p 0 7}{space 1}{text:( 2)}{space 1} infomn = 0{p_end}
{p 0 7}{space 1}{text:( 3)}{space 1} intomn = 0{p_end}

{txt}       F(  3,   375) ={res}    0.14
{txt}{col 13}Prob > F ={res}    0.9364

{txt}added scalar:
                e(f_3) =  {res}.13939543

{txt}added scalar:
            e(f_wald3) =  {res}.93639279

{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}    14,609
{txt}{col 49}F({res}  26{txt},{res}    375{txt}){col 67}= {res}      2.41
{txt}{col 49}Prob > F{col 67}= {res}    0.0002
{txt}{col 49}R-squared{col 67}= {res}    0.0301
{txt}{col 49}Adj R-squared{col 67}= {res}    0.0274
{txt}{col 49}Root MSE{col 67}= {res}    0.9258

{txt}{ralign 78:(Std. Err. adjusted for {res:376} clusters in hc_id)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}e_exam_pri~z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 5}fullomn {c |}{col 14}{res}{space 2} .0698047{col 26}{space 2} .0403595{col 37}{space 1}    1.73{col 46}{space 3}0.085{col 54}{space 4}-.0095545{col 67}{space 3}  .149164
{txt}{space 6}infomn {c |}{col 14}{res}{space 2} .0450722{col 26}{space 2}  .043839{col 37}{space 1}    1.03{col 46}{space 3}0.305{col 54}{space 4}-.0411288{col 67}{space 3} .1312732
{txt}{space 6}intomn {c |}{col 14}{res}{space 2} .0098182{col 26}{space 2} .0451997{col 37}{space 1}    0.22{col 46}{space 3}0.828{col 54}{space 4}-.0790585{col 67}{space 3} .0986949
{txt}b_exam_pri~z {c |}{col 14}{res}{space 2} .0496901{col 26}{space 2} .0090346{col 37}{space 1}    5.50{col 46}{space 3}0.000{col 54}{space 4} .0319253{col 67}{space 3} .0674548
{txt}b_exam_p~z_d {c |}{col 14}{res}{space 2}-.0105837{col 26}{space 2} .0198168{col 37}{space 1}   -0.53{col 46}{space 3}0.594{col 54}{space 4}-.0495498{col 67}{space 3} .0283823
{txt}c_full~n_hc2 {c |}{col 14}{res}{space 2}-.0449599{col 26}{space 2} .0489772{col 37}{space 1}   -0.92{col 46}{space 3}0.359{col 54}{space 4}-.1412644{col 67}{space 3} .0513445
{txt}c_fullomn_.. {c |}{col 14}{res}{space 2}-.0101205{col 26}{space 2} .0548511{col 37}{space 1}   -0.18{col 46}{space 3}0.854{col 54}{space 4}-.1179748{col 67}{space 3} .0977339
{txt}c_fullomn_.. {c |}{col 14}{res}{space 2}-.1000045{col 26}{space 2} .0572594{col 37}{space 1}   -1.75{col 46}{space 3}0.082{col 54}{space 4}-.2125943{col 67}{space 3} .0125854
{txt}c_fullomn_.. {c |}{col 14}{res}{space 2} .0087684{col 26}{space 2} .0778805{col 37}{space 1}    0.11{col 46}{space 3}0.910{col 54}{space 4}-.1443688{col 67}{space 3} .1619056
{txt}c_f~n_educyr {c |}{col 14}{res}{space 2} .0078987{col 26}{space 2} .0057472{col 37}{space 1}    1.37{col 46}{space 3}0.170{col 54}{space 4}-.0034021{col 67}{space 3} .0191995
{txt}c_fullomn_.. {c |}{col 14}{res}{space 2}-.0270486{col 26}{space 2} .0336139{col 37}{space 1}   -0.80{col 46}{space 3}0.422{col 54}{space 4} -.093144{col 67}{space 3} .0390467
{txt}c_b_visite~d {c |}{col 14}{res}{space 2}-.0294882{col 26}{space 2} .0671085{col 37}{space 1}   -0.44{col 46}{space 3}0.661{col 54}{space 4}-.1614444{col 67}{space 3}  .102468
{txt}{space 4}c_educyr {c |}{col 14}{res}{space 2}-.0057056{col 26}{space 2} .0041959{col 37}{space 1}   -1.36{col 46}{space 3}0.175{col 54}{space 4} -.013956{col 67}{space 3} .0025449
{txt}c_b_asseti~x {c |}{col 14}{res}{space 2}-.0122448{col 26}{space 2} .0242753{col 37}{space 1}   -0.50{col 46}{space 3}0.614{col 54}{space 4}-.0599777{col 67}{space 3}  .035488
{txt}c_infomn_hc2 {c |}{col 14}{res}{space 2} .0166219{col 26}{space 2} .0521392{col 37}{space 1}    0.32{col 46}{space 3}0.750{col 54}{space 4}-.0858999{col 67}{space 3} .1191436
{txt}c_infomn_b~l {c |}{col 14}{res}{space 2} .0714524{col 26}{space 2} .0567157{col 37}{space 1}    1.26{col 46}{space 3}0.209{col 54}{space 4}-.0400683{col 67}{space 3} .1829731
{txt}c_infomn_b~s {c |}{col 14}{res}{space 2} .0580189{col 26}{space 2} .1077296{col 37}{space 1}    0.54{col 46}{space 3}0.591{col 54}{space 4}-.1538109{col 67}{space 3} .2698486
{txt}c_infomn_b.. {c |}{col 14}{res}{space 2} .0371636{col 26}{space 2} .0878581{col 37}{space 1}    0.42{col 46}{space 3}0.673{col 54}{space 4}-.1355926{col 67}{space 3} .2099198
{txt}c_infomn_e~r {c |}{col 14}{res}{space 2} .0019803{col 26}{space 2} .0057292{col 37}{space 1}    0.35{col 46}{space 3}0.730{col 54}{space 4} -.009285{col 67}{space 3} .0132456
{txt}c_infomn_b.. {c |}{col 14}{res}{space 2} .0019823{col 26}{space 2} .0335918{col 37}{space 1}    0.06{col 46}{space 3}0.953{col 54}{space 4}-.0640696{col 67}{space 3} .0680342
{txt}c_intomn_hc2 {c |}{col 14}{res}{space 2}-.1450596{col 26}{space 2} .0878818{col 37}{space 1}   -1.65{col 46}{space 3}0.100{col 54}{space 4}-.3178626{col 67}{space 3} .0277433
{txt}c_intomn_b~l {c |}{col 14}{res}{space 2} .0371087{col 26}{space 2} .0943408{col 37}{space 1}    0.39{col 46}{space 3}0.694{col 54}{space 4}-.1483945{col 67}{space 3} .2226119
{txt}c_intomn_b~s {c |}{col 14}{res}{space 2} .0261793{col 26}{space 2} .0965741{col 37}{space 1}    0.27{col 46}{space 3}0.786{col 54}{space 4}-.1637154{col 67}{space 3} .2160739
{txt}c_intomn_b.. {c |}{col 14}{res}{space 2}-.0241248{col 26}{space 2} .0935379{col 37}{space 1}   -0.26{col 46}{space 3}0.797{col 54}{space 4}-.2080493{col 67}{space 3} .1597997
{txt}c_intomn_e~r {c |}{col 14}{res}{space 2} .0130908{col 26}{space 2} .0060985{col 37}{space 1}    2.15{col 46}{space 3}0.032{col 54}{space 4} .0010992{col 67}{space 3} .0250823
{txt}c_intomn_b.. {c |}{col 14}{res}{space 2}-.0289789{col 26}{space 2}  .034913{col 37}{space 1}   -0.83{col 46}{space 3}0.407{col 54}{space 4}-.0976287{col 67}{space 3} .0396709
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} .0066087{col 26}{space 2} .0351982{col 37}{space 1}    0.19{col 46}{space 3}0.851{col 54}{space 4}-.0626018{col 67}{space 3} .0758193
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}infomn - intomn = 0{p_end}

{txt}       F(  1,   375) ={res}    0.77
{txt}{col 13}Prob > F ={res}    0.3822

{txt}added scalar:
             e(f_wald) =  {res}.38215741

{p 0 7}{space 1}{text:( 1)}{space 1}{space 1}{res}- fullomn + infomn = 0{p_end}

{txt}       F(  1,   375) ={res}    0.52
{txt}{col 13}Prob > F ={res}    0.4707

{txt}added scalar:
            e(f_wald1) =  {res}.47065853

{p 0 7}{space 1}{text:( 1)}{space 1}{space 1}{res}- fullomn + intomn = 0{p_end}

{txt}       F(  1,   375) ={res}    2.65
{txt}{col 13}Prob > F ={res}    0.1047

{txt}added scalar:
            e(f_wald2) =  {res}.10469691

{p 0 7}{space 1}{text:( 1)}{space 1} fullomn = 0{p_end}
{p 0 7}{space 1}{text:( 2)}{space 1} infomn = 0{p_end}
{p 0 7}{space 1}{text:( 3)}{space 1} intomn = 0{p_end}

{txt}       F(  3,   375) ={res}    1.43
{txt}{col 13}Prob > F ={res}    0.2322

{txt}added scalar:
                e(f_3) =  {res}1.4347965

{txt}added scalar:
            e(f_wald3) =  {res}.23223331

{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}    14,609
{txt}{col 49}F({res}  26{txt},{res}    375{txt}){col 67}= {res}      2.71
{txt}{col 49}Prob > F{col 67}= {res}    0.0000
{txt}{col 49}R-squared{col 67}= {res}    0.0347
{txt}{col 49}Adj R-squared{col 67}= {res}    0.0319
{txt}{col 49}Root MSE{col 67}= {res}    0.9767

{txt}{ralign 78:(Std. Err. adjusted for {res:376} clusters in hc_id)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}e_taketest_z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 5}fullomn {c |}{col 14}{res}{space 2} .0385862{col 26}{space 2} .0411745{col 37}{space 1}    0.94{col 46}{space 3}0.349{col 54}{space 4}-.0423757{col 67}{space 3} .1195481
{txt}{space 6}infomn {c |}{col 14}{res}{space 2}-.0112789{col 26}{space 2} .0460035{col 37}{space 1}   -0.25{col 46}{space 3}0.806{col 54}{space 4}-.1017361{col 67}{space 3} .0791784
{txt}{space 6}intomn {c |}{col 14}{res}{space 2} .0325887{col 26}{space 2} .0457239{col 37}{space 1}    0.71{col 46}{space 3}0.476{col 54}{space 4}-.0573186{col 67}{space 3}  .122496
{txt}b_taketest_z {c |}{col 14}{res}{space 2} .0643722{col 26}{space 2} .0116577{col 37}{space 1}    5.52{col 46}{space 3}0.000{col 54}{space 4} .0414496{col 67}{space 3} .0872948
{txt}b_takete~z_d {c |}{col 14}{res}{space 2}-.0516336{col 26}{space 2} .0194244{col 37}{space 1}   -2.66{col 46}{space 3}0.008{col 54}{space 4} -.089828{col 67}{space 3}-.0134392
{txt}c_full~n_hc2 {c |}{col 14}{res}{space 2} .0229877{col 26}{space 2} .0558793{col 37}{space 1}    0.41{col 46}{space 3}0.681{col 54}{space 4}-.0868884{col 67}{space 3} .1328637
{txt}c_fullomn_.. {c |}{col 14}{res}{space 2}-.0511265{col 26}{space 2} .0686694{col 37}{space 1}   -0.74{col 46}{space 3}0.457{col 54}{space 4}-.1861518{col 67}{space 3} .0838988
{txt}c_fullomn_.. {c |}{col 14}{res}{space 2} .0323417{col 26}{space 2} .0838686{col 37}{space 1}    0.39{col 46}{space 3}0.700{col 54}{space 4}  -.13257{col 67}{space 3} .1972534
{txt}c_fullomn_.. {c |}{col 14}{res}{space 2} .1634639{col 26}{space 2} .0835636{col 37}{space 1}    1.96{col 46}{space 3}0.051{col 54}{space 4} -.000848{col 67}{space 3} .3277758
{txt}c_f~n_educyr {c |}{col 14}{res}{space 2} .0031738{col 26}{space 2} .0062297{col 37}{space 1}    0.51{col 46}{space 3}0.611{col 54}{space 4}-.0090757{col 67}{space 3} .0154232
{txt}c_fullomn_.. {c |}{col 14}{res}{space 2} .0088778{col 26}{space 2} .0291065{col 37}{space 1}    0.31{col 46}{space 3}0.761{col 54}{space 4}-.0483547{col 67}{space 3} .0661103
{txt}c_b_visite~d {c |}{col 14}{res}{space 2}-.0775187{col 26}{space 2} .0604052{col 37}{space 1}   -1.28{col 46}{space 3}0.200{col 54}{space 4} -.196294{col 67}{space 3} .0412566
{txt}{space 4}c_educyr {c |}{col 14}{res}{space 2} .0008382{col 26}{space 2} .0042981{col 37}{space 1}    0.20{col 46}{space 3}0.845{col 54}{space 4}-.0076133{col 67}{space 3} .0092897
{txt}c_b_asseti~x {c |}{col 14}{res}{space 2}-.0458281{col 26}{space 2} .0223374{col 37}{space 1}   -2.05{col 46}{space 3}0.041{col 54}{space 4}-.0897504{col 67}{space 3}-.0019058
{txt}c_infomn_hc2 {c |}{col 14}{res}{space 2} .1819872{col 26}{space 2} .0827772{col 37}{space 1}    2.20{col 46}{space 3}0.029{col 54}{space 4} .0192215{col 67}{space 3} .3447528
{txt}c_infomn_b~l {c |}{col 14}{res}{space 2} .1220427{col 26}{space 2} .0812855{col 37}{space 1}    1.50{col 46}{space 3}0.134{col 54}{space 4}-.0377899{col 67}{space 3} .2818753
{txt}c_infomn_b~s {c |}{col 14}{res}{space 2} .1208196{col 26}{space 2} .1100364{col 37}{space 1}    1.10{col 46}{space 3}0.273{col 54}{space 4}-.0955462{col 67}{space 3} .3371854
{txt}c_infomn_b.. {c |}{col 14}{res}{space 2} .0835604{col 26}{space 2} .0825046{col 37}{space 1}    1.01{col 46}{space 3}0.312{col 54}{space 4}-.0786693{col 67}{space 3} .2457901
{txt}c_infomn_e~r {c |}{col 14}{res}{space 2}-.0016861{col 26}{space 2} .0061438{col 37}{space 1}   -0.27{col 46}{space 3}0.784{col 54}{space 4}-.0137668{col 67}{space 3} .0103945
{txt}c_infomn_b.. {c |}{col 14}{res}{space 2} .0315598{col 26}{space 2} .0324686{col 37}{space 1}    0.97{col 46}{space 3}0.332{col 54}{space 4}-.0322835{col 67}{space 3} .0954032
{txt}c_intomn_hc2 {c |}{col 14}{res}{space 2} .0276721{col 26}{space 2} .0820263{col 37}{space 1}    0.34{col 46}{space 3}0.736{col 54}{space 4}-.1336171{col 67}{space 3} .1889613
{txt}c_intomn_b~l {c |}{col 14}{res}{space 2} .1097094{col 26}{space 2} .0898537{col 37}{space 1}    1.22{col 46}{space 3}0.223{col 54}{space 4}-.0669708{col 67}{space 3} .2863896
{txt}c_intomn_b~s {c |}{col 14}{res}{space 2} .0675462{col 26}{space 2} .0920339{col 37}{space 1}    0.73{col 46}{space 3}0.463{col 54}{space 4}-.1134209{col 67}{space 3} .2485134
{txt}c_intomn_b.. {c |}{col 14}{res}{space 2} .0774006{col 26}{space 2} .0884687{col 37}{space 1}    0.87{col 46}{space 3}0.382{col 54}{space 4}-.0965564{col 67}{space 3} .2513575
{txt}c_intomn_e~r {c |}{col 14}{res}{space 2}-.0012297{col 26}{space 2} .0060036{col 37}{space 1}   -0.20{col 46}{space 3}0.838{col 54}{space 4}-.0130347{col 67}{space 3} .0105753
{txt}c_intomn_b.. {c |}{col 14}{res}{space 2} .0692908{col 26}{space 2} .0292222{col 37}{space 1}    2.37{col 46}{space 3}0.018{col 54}{space 4}  .011831{col 67}{space 3} .1267506
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} .0157238{col 26}{space 2} .0315499{col 37}{space 1}    0.50{col 46}{space 3}0.619{col 54}{space 4} -.046313{col 67}{space 3} .0777606
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}infomn - intomn = 0{p_end}

{txt}       F(  1,   375) ={res}    0.86
{txt}{col 13}Prob > F ={res}    0.3553

{txt}added scalar:
             e(f_wald) =  {res}.35526495

{p 0 7}{space 1}{text:( 1)}{space 1}{space 1}{res}- fullomn + infomn = 0{p_end}

{txt}       F(  1,   375) ={res}    1.33
{txt}{col 13}Prob > F ={res}    0.2499

{txt}added scalar:
            e(f_wald1) =  {res}.24993083

{p 0 7}{space 1}{text:( 1)}{space 1}{space 1}{res}- fullomn + intomn = 0{p_end}

{txt}       F(  1,   375) ={res}    0.02
{txt}{col 13}Prob > F ={res}    0.8886

{txt}added scalar:
            e(f_wald2) =  {res}.8885885

{p 0 7}{space 1}{text:( 1)}{space 1} fullomn = 0{p_end}
{p 0 7}{space 1}{text:( 2)}{space 1} infomn = 0{p_end}
{p 0 7}{space 1}{text:( 3)}{space 1} intomn = 0{p_end}

{txt}       F(  3,   375) ={res}    0.62
{txt}{col 13}Prob > F ={res}    0.6036

{txt}added scalar:
                e(f_3) =  {res}.61812018

{txt}added scalar:
            e(f_wald3) =  {res}.60363056

{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}    14,609
{txt}{col 49}F({res}  26{txt},{res}    375{txt}){col 67}= {res}      2.43
{txt}{col 49}Prob > F{col 67}= {res}    0.0002
{txt}{col 49}R-squared{col 67}= {res}    0.0202
{txt}{col 49}Adj R-squared{col 67}= {res}    0.0174
{txt}{col 49}Root MSE{col 67}= {res}    0.9886

{txt}{ralign 78:(Std. Err. adjusted for {res:376} clusters in hc_id)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}e_diagnosi~z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 5}fullomn {c |}{col 14}{res}{space 2} .0589067{col 26}{space 2}  .033546{col 37}{space 1}    1.76{col 46}{space 3}0.080{col 54}{space 4}-.0070551{col 67}{space 3} .1248685
{txt}{space 6}infomn {c |}{col 14}{res}{space 2}-.0253944{col 26}{space 2}  .035778{col 37}{space 1}   -0.71{col 46}{space 3}0.478{col 54}{space 4}-.0957451{col 67}{space 3} .0449563
{txt}{space 6}intomn {c |}{col 14}{res}{space 2} .0169579{col 26}{space 2} .0369485{col 37}{space 1}    0.46{col 46}{space 3}0.647{col 54}{space 4}-.0556943{col 67}{space 3} .0896102
{txt}b_diagnosi~z {c |}{col 14}{res}{space 2} .0532262{col 26}{space 2} .0092121{col 37}{space 1}    5.78{col 46}{space 3}0.000{col 54}{space 4} .0351122{col 67}{space 3} .0713401
{txt}b_diagno~z_d {c |}{col 14}{res}{space 2} .0015486{col 26}{space 2} .0235471{col 37}{space 1}    0.07{col 46}{space 3}0.948{col 54}{space 4}-.0447522{col 67}{space 3} .0478494
{txt}c_full~n_hc2 {c |}{col 14}{res}{space 2} .0210096{col 26}{space 2} .0501085{col 37}{space 1}    0.42{col 46}{space 3}0.675{col 54}{space 4}-.0775192{col 67}{space 3} .1195384
{txt}c_fullomn_.. {c |}{col 14}{res}{space 2} -.005762{col 26}{space 2} .0543299{col 37}{space 1}   -0.11{col 46}{space 3}0.916{col 54}{space 4}-.1125915{col 67}{space 3} .1010675
{txt}c_fullomn_.. {c |}{col 14}{res}{space 2}  .061135{col 26}{space 2} .0708872{col 37}{space 1}    0.86{col 46}{space 3}0.389{col 54}{space 4}-.0782512{col 67}{space 3} .2005213
{txt}c_fullomn_.. {c |}{col 14}{res}{space 2}-.0140484{col 26}{space 2} .0854586{col 37}{space 1}   -0.16{col 46}{space 3}0.870{col 54}{space 4}-.1820866{col 67}{space 3} .1539898
{txt}c_f~n_educyr {c |}{col 14}{res}{space 2}-.0043134{col 26}{space 2} .0064348{col 37}{space 1}   -0.67{col 46}{space 3}0.503{col 54}{space 4}-.0169662{col 67}{space 3} .0083394
{txt}c_fullomn_.. {c |}{col 14}{res}{space 2}-.0111062{col 26}{space 2} .0264003{col 37}{space 1}   -0.42{col 46}{space 3}0.674{col 54}{space 4}-.0630174{col 67}{space 3} .0408051
{txt}c_b_visite~d {c |}{col 14}{res}{space 2} .0334923{col 26}{space 2} .0621642{col 37}{space 1}    0.54{col 46}{space 3}0.590{col 54}{space 4}-.0887417{col 67}{space 3} .1557264
{txt}{space 4}c_educyr {c |}{col 14}{res}{space 2} .0043508{col 26}{space 2} .0041971{col 37}{space 1}    1.04{col 46}{space 3}0.301{col 54}{space 4}-.0039021{col 67}{space 3} .0126036
{txt}c_b_asseti~x {c |}{col 14}{res}{space 2}-.0053334{col 26}{space 2} .0191697{col 37}{space 1}   -0.28{col 46}{space 3}0.781{col 54}{space 4} -.043027{col 67}{space 3} .0323603
{txt}c_infomn_hc2 {c |}{col 14}{res}{space 2} .1325019{col 26}{space 2} .0683976{col 37}{space 1}    1.94{col 46}{space 3}0.053{col 54}{space 4}-.0019889{col 67}{space 3} .2669928
{txt}c_infomn_b~l {c |}{col 14}{res}{space 2} .0223303{col 26}{space 2} .0690011{col 37}{space 1}    0.32{col 46}{space 3}0.746{col 54}{space 4}-.1133472{col 67}{space 3} .1580079
{txt}c_infomn_b~s {c |}{col 14}{res}{space 2} .1140815{col 26}{space 2} .0755964{col 37}{space 1}    1.51{col 46}{space 3}0.132{col 54}{space 4}-.0345644{col 67}{space 3} .2627274
{txt}c_infomn_b.. {c |}{col 14}{res}{space 2}-.0737211{col 26}{space 2}   .07968{col 37}{space 1}   -0.93{col 46}{space 3}0.355{col 54}{space 4}-.2303966{col 67}{space 3} .0829544
{txt}c_infomn_e~r {c |}{col 14}{res}{space 2} -.000775{col 26}{space 2} .0059579{col 37}{space 1}   -0.13{col 46}{space 3}0.897{col 54}{space 4}  -.01249{col 67}{space 3} .0109401
{txt}c_infomn_b.. {c |}{col 14}{res}{space 2}   -.0036{col 26}{space 2} .0277034{col 37}{space 1}   -0.13{col 46}{space 3}0.897{col 54}{space 4}-.0580735{col 67}{space 3} .0508736
{txt}c_intomn_hc2 {c |}{col 14}{res}{space 2}-.1066236{col 26}{space 2} .0721583{col 37}{space 1}   -1.48{col 46}{space 3}0.140{col 54}{space 4}-.2485091{col 67}{space 3}  .035262
{txt}c_intomn_b~l {c |}{col 14}{res}{space 2} .0216178{col 26}{space 2} .0763786{col 37}{space 1}    0.28{col 46}{space 3}0.777{col 54}{space 4}-.1285662{col 67}{space 3} .1718017
{txt}c_intomn_b~s {c |}{col 14}{res}{space 2} .0494443{col 26}{space 2}  .083316{col 37}{space 1}    0.59{col 46}{space 3}0.553{col 54}{space 4}-.1143808{col 67}{space 3} .2132694
{txt}c_intomn_b.. {c |}{col 14}{res}{space 2} .0899122{col 26}{space 2} .0884135{col 37}{space 1}    1.02{col 46}{space 3}0.310{col 54}{space 4}-.0839361{col 67}{space 3} .2637606
{txt}c_intomn_e~r {c |}{col 14}{res}{space 2}-.0024735{col 26}{space 2} .0058952{col 37}{space 1}   -0.42{col 46}{space 3}0.675{col 54}{space 4}-.0140653{col 67}{space 3} .0091183
{txt}c_intomn_b.. {c |}{col 14}{res}{space 2} .0019108{col 26}{space 2} .0299635{col 37}{space 1}    0.06{col 46}{space 3}0.949{col 54}{space 4}-.0570067{col 67}{space 3} .0608284
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} .0019731{col 26}{space 2} .0249962{col 37}{space 1}    0.08{col 46}{space 3}0.937{col 54}{space 4}-.0471772{col 67}{space 3} .0511235
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}infomn - intomn = 0{p_end}

{txt}       F(  1,   375) ={res}    1.23
{txt}{col 13}Prob > F ={res}    0.2686

{txt}added scalar:
             e(f_wald) =  {res}.26861914

{p 0 7}{space 1}{text:( 1)}{space 1}{space 1}{res}- fullomn + infomn = 0{p_end}

{txt}       F(  1,   375) ={res}    5.84
{txt}{col 13}Prob > F ={res}    0.0162

{txt}added scalar:
            e(f_wald1) =  {res}.01617196

{p 0 7}{space 1}{text:( 1)}{space 1}{space 1}{res}- fullomn + intomn = 0{p_end}

{txt}       F(  1,   375) ={res}    1.36
{txt}{col 13}Prob > F ={res}    0.2441

{txt}added scalar:
            e(f_wald2) =  {res}.24411722

{p 0 7}{space 1}{text:( 1)}{space 1} fullomn = 0{p_end}
{p 0 7}{space 1}{text:( 2)}{space 1} infomn = 0{p_end}
{p 0 7}{space 1}{text:( 3)}{space 1} intomn = 0{p_end}

{txt}       F(  3,   375) ={res}    2.13
{txt}{col 13}Prob > F ={res}    0.0961

{txt}added scalar:
                e(f_3) =  {res}2.1290667

{txt}added scalar:
            e(f_wald3) =  {res}.09611311
{txt}
{com}.                 
.         * HC level outcome
.         
.         local y = 8
{txt}
{com}.         foreach x in `treatmentqual_hclevel' {c -(}
{txt}  2{com}.                 areg  e_`x' fullomn infomn intomn b_`x' b_`x'_d `fullomn_hc_int_e_controls' `e_controls_hc' `infomn_hc_int_e_controls' `intomn_hc_int_e_controls' if uniquehc == 1 , robust a(district)
{txt}  3{com}.                 
.                 test infomn = intomn
{txt}  4{com}.                 estadd scalar f_wald = r(p)
{txt}  5{com}.                 
.                 test infomn = fullomn
{txt}  6{com}.                 estadd scalar f_wald1 = r(p)
{txt}  7{com}.                 
.                 test intomn = fullomn
{txt}  8{com}.                 estadd scalar f_wald2 = r(p)
{txt}  9{com}.                 
.                 test fullomn infomn intomn
{txt} 10{com}.                 estadd scalar f_3 = r(F)
{txt} 11{com}.                 estadd scalar f_wald3 = r(p)
{txt} 12{com}.                 
.                 estimates store m`y'
{txt} 13{com}.                 
.                 local y = `y' + 1
{txt} 14{com}.                 {c )-}
{res}
{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}       376
{txt}{col 49}F({res}  29{txt},{res}    331{txt}){col 67}= {res}      1.46
{txt}{col 49}Prob > F{col 67}= {res}    0.0614
{txt}{col 49}R-squared{col 67}= {res}    0.2995
{txt}{col 49}Adj R-squared{col 67}= {res}    0.2063
{txt}{col 49}Root MSE{col 67}= {res}    0.8690

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}e_h_percen~z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 5}fullomn {c |}{col 14}{res}{space 2} .0301482{col 26}{space 2}  .136335{col 37}{space 1}    0.22{col 46}{space 3}0.825{col 54}{space 4}-.2380441{col 67}{space 3} .2983404
{txt}{space 6}infomn {c |}{col 14}{res}{space 2}-.1208892{col 26}{space 2}  .139812{col 37}{space 1}   -0.86{col 46}{space 3}0.388{col 54}{space 4}-.3959214{col 67}{space 3}  .154143
{txt}{space 6}intomn {c |}{col 14}{res}{space 2}-.1379508{col 26}{space 2} .1336858{col 37}{space 1}   -1.03{col 46}{space 3}0.303{col 54}{space 4}-.4009316{col 67}{space 3}   .12503
{txt}b_h_percen~z {c |}{col 14}{res}{space 2} .1404933{col 26}{space 2} .0509092{col 37}{space 1}    2.76{col 46}{space 3}0.006{col 54}{space 4}  .040347{col 67}{space 3} .2406396
{txt}b_h_perc~z_d {c |}{col 14}{res}{space 2} .0748378{col 26}{space 2} .1777571{col 37}{space 1}    0.42{col 46}{space 3}0.674{col 54}{space 4}-.2748382{col 67}{space 3} .4245138
{txt}c_full~c_hc2 {c |}{col 14}{res}{space 2}-.0751348{col 26}{space 2} .3518015{col 37}{space 1}   -0.21{col 46}{space 3}0.831{col 54}{space 4}-.7671836{col 67}{space 3}  .616914
{txt}c_fullomn_.. {c |}{col 14}{res}{space 2} .2194078{col 26}{space 2} .3844412{col 37}{space 1}    0.57{col 46}{space 3}0.569{col 54}{space 4}-.5368484{col 67}{space 3}  .975664
{txt}c_fullomn_.. {c |}{col 14}{res}{space 2}-.4661594{col 26}{space 2} .5114208{col 37}{space 1}   -0.91{col 46}{space 3}0.363{col 54}{space 4}-1.472204{col 67}{space 3} .5398855
{txt}c_fullomn_.. {c |}{col 14}{res}{space 2}-1.194557{col 26}{space 2}   1.2858{col 37}{space 1}   -0.93{col 46}{space 3}0.354{col 54}{space 4}-3.723926{col 67}{space 3} 1.334813
{txt}c_f~c_educyr {c |}{col 14}{res}{space 2}-.0442912{col 26}{space 2} .1584066{col 37}{space 1}   -0.28{col 46}{space 3}0.780{col 54}{space 4}-.3559019{col 67}{space 3} .2673195
{txt}c_fullomn_.. {c |}{col 14}{res}{space 2}-.1430866{col 26}{space 2} .4448201{col 37}{space 1}   -0.32{col 46}{space 3}0.748{col 54}{space 4}-1.018117{col 67}{space 3} .7319442
{txt}{space 4}c_hc_hc2 {c |}{col 14}{res}{space 2}   .19152{col 26}{space 2} .2979555{col 37}{space 1}    0.64{col 46}{space 3}0.521{col 54}{space 4}-.3946052{col 67}{space 3} .7776452
{txt}c_hc_b_h_del {c |}{col 14}{res}{space 2}-.1756777{col 26}{space 2} .3174314{col 37}{space 1}   -0.55{col 46}{space 3}0.580{col 54}{space 4}-.8001149{col 67}{space 3} .4487596
{txt}c_hc_b_h_s~s {c |}{col 14}{res}{space 2} .0443572{col 26}{space 2} .3759089{col 37}{space 1}    0.12{col 46}{space 3}0.906{col 54}{space 4}-.6951145{col 67}{space 3}  .783829
{txt}c_hc_b_vis~d {c |}{col 14}{res}{space 2} 1.807372{col 26}{space 2} .7687145{col 37}{space 1}    2.35{col 46}{space 3}0.019{col 54}{space 4} .2951902{col 67}{space 3} 3.319554
{txt}{space 1}c_hc_educyr {c |}{col 14}{res}{space 2}-.1224422{col 26}{space 2} .1285928{col 37}{space 1}   -0.95{col 46}{space 3}0.342{col 54}{space 4}-.3754044{col 67}{space 3} .1305201
{txt}c_hc_b_ass~x {c |}{col 14}{res}{space 2}  .562862{col 26}{space 2} .3764443{col 37}{space 1}    1.50{col 46}{space 3}0.136{col 54}{space 4} -.177663{col 67}{space 3} 1.303387
{txt}c_info~c_hc2 {c |}{col 14}{res}{space 2}-.1486722{col 26}{space 2} .4053123{col 37}{space 1}   -0.37{col 46}{space 3}0.714{col 54}{space 4}-.9459851{col 67}{space 3} .6486407
{txt}c_infomn_h.. {c |}{col 14}{res}{space 2} -.206865{col 26}{space 2} .3962194{col 37}{space 1}   -0.52{col 46}{space 3}0.602{col 54}{space 4}-.9862907{col 67}{space 3} .5725607
{txt}c_infomn_h.. {c |}{col 14}{res}{space 2} -.003031{col 26}{space 2}  .489791{col 37}{space 1}   -0.01{col 46}{space 3}0.995{col 54}{space 4}-.9665268{col 67}{space 3} .9604648
{txt}c_infomn_h.. {c |}{col 14}{res}{space 2}-.3987307{col 26}{space 2} 1.524311{col 37}{space 1}   -0.26{col 46}{space 3}0.794{col 54}{space 4}-3.397289{col 67}{space 3} 2.599827
{txt}c_infomn_h.. {c |}{col 14}{res}{space 2}-.0300262{col 26}{space 2} .1589105{col 37}{space 1}   -0.19{col 46}{space 3}0.850{col 54}{space 4}-.3426281{col 67}{space 3} .2825757
{txt}c_infomn_h.. {c |}{col 14}{res}{space 2}-.0095472{col 26}{space 2} .4507539{col 37}{space 1}   -0.02{col 46}{space 3}0.983{col 54}{space 4}-.8962508{col 67}{space 3} .8771565
{txt}c_into~c_hc2 {c |}{col 14}{res}{space 2}-.4248186{col 26}{space 2} .3953401{col 37}{space 1}   -1.07{col 46}{space 3}0.283{col 54}{space 4}-1.202515{col 67}{space 3} .3528773
{txt}c_intomn_h.. {c |}{col 14}{res}{space 2}-.2443451{col 26}{space 2} .4021297{col 37}{space 1}   -0.61{col 46}{space 3}0.544{col 54}{space 4}-1.035397{col 67}{space 3}  .546707
{txt}c_intomn_h.. {c |}{col 14}{res}{space 2} .3346439{col 26}{space 2}  .440858{col 37}{space 1}    0.76{col 46}{space 3}0.448{col 54}{space 4}-.5325929{col 67}{space 3} 1.201881
{txt}c_intomn_h.. {c |}{col 14}{res}{space 2}-.9842244{col 26}{space 2} 1.508682{col 37}{space 1}   -0.65{col 46}{space 3}0.515{col 54}{space 4}-3.952039{col 67}{space 3}  1.98359
{txt}c_intomn_h.. {c |}{col 14}{res}{space 2}  .068765{col 26}{space 2} .1598146{col 37}{space 1}    0.43{col 46}{space 3}0.667{col 54}{space 4}-.2456155{col 67}{space 3} .3831455
{txt}c_intomn_h.. {c |}{col 14}{res}{space 2}-.4984898{col 26}{space 2}  .495201{col 37}{space 1}   -1.01{col 46}{space 3}0.315{col 54}{space 4}-1.472628{col 67}{space 3} .4756482
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} .0127526{col 26}{space 2} .1062722{col 37}{space 1}    0.12{col 46}{space 3}0.905{col 54}{space 4}-.1963015{col 67}{space 3} .2218067
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}infomn - intomn = 0{p_end}

{txt}       F(  1,   331) ={res}    0.02
{txt}{col 13}Prob > F ={res}    0.8919

{txt}added scalar:
             e(f_wald) =  {res}.89191399

{p 0 7}{space 1}{text:( 1)}{space 1}{space 1}{res}- fullomn + infomn = 0{p_end}

{txt}       F(  1,   331) ={res}    1.39
{txt}{col 13}Prob > F ={res}    0.2387

{txt}added scalar:
            e(f_wald1) =  {res}.23873049

{p 0 7}{space 1}{text:( 1)}{space 1}{space 1}{res}- fullomn + intomn = 0{p_end}

{txt}       F(  1,   331) ={res}    1.96
{txt}{col 13}Prob > F ={res}    0.1627

{txt}added scalar:
            e(f_wald2) =  {res}.16267065

{p 0 7}{space 1}{text:( 1)}{space 1} fullomn = 0{p_end}
{p 0 7}{space 1}{text:( 2)}{space 1} infomn = 0{p_end}
{p 0 7}{space 1}{text:( 3)}{space 1} intomn = 0{p_end}

{txt}       F(  3,   331) ={res}    0.91
{txt}{col 13}Prob > F ={res}    0.4378

{txt}added scalar:
                e(f_3) =  {res}.9072111

{txt}added scalar:
            e(f_wald3) =  {res}.43775332

{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}       376
{txt}{col 49}F({res}  29{txt},{res}    331{txt}){col 67}= {res}      1.49
{txt}{col 49}Prob > F{col 67}= {res}    0.0531
{txt}{col 49}R-squared{col 67}= {res}    0.1763
{txt}{col 49}Adj R-squared{col 67}= {res}    0.0668
{txt}{col 49}Root MSE{col 67}= {res}    0.8604

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}e_h_cleanl~z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 5}fullomn {c |}{col 14}{res}{space 2} .1070274{col 26}{space 2} .1369245{col 37}{space 1}    0.78{col 46}{space 3}0.435{col 54}{space 4}-.1623246{col 67}{space 3} .3763794
{txt}{space 6}infomn {c |}{col 14}{res}{space 2}-.0738806{col 26}{space 2} .1348016{col 37}{space 1}   -0.55{col 46}{space 3}0.584{col 54}{space 4}-.3390565{col 67}{space 3} .1912953
{txt}{space 6}intomn {c |}{col 14}{res}{space 2}-.0992339{col 26}{space 2} .1373876{col 37}{space 1}   -0.72{col 46}{space 3}0.471{col 54}{space 4}-.3694969{col 67}{space 3} .1710291
{txt}b_h_cleanl~z {c |}{col 14}{res}{space 2} .1299896{col 26}{space 2} .0476459{col 37}{space 1}    2.73{col 46}{space 3}0.007{col 54}{space 4} .0362626{col 67}{space 3} .2237166
{txt}b_h_clea~z_d {c |}{col 14}{res}{space 2}-.0258755{col 26}{space 2} .1731726{col 37}{space 1}   -0.15{col 46}{space 3}0.881{col 54}{space 4}-.3665332{col 67}{space 3} .3147822
{txt}c_full~c_hc2 {c |}{col 14}{res}{space 2}-.1883288{col 26}{space 2} .3532018{col 37}{space 1}   -0.53{col 46}{space 3}0.594{col 54}{space 4}-.8831321{col 67}{space 3} .5064745
{txt}c_fullomn_.. {c |}{col 14}{res}{space 2} .3706432{col 26}{space 2} .3560143{col 37}{space 1}    1.04{col 46}{space 3}0.299{col 54}{space 4}-.3296927{col 67}{space 3} 1.070979
{txt}c_fullomn_.. {c |}{col 14}{res}{space 2}-.5674117{col 26}{space 2} .3580593{col 37}{space 1}   -1.58{col 46}{space 3}0.114{col 54}{space 4} -1.27177{col 67}{space 3} .1369471
{txt}c_fullomn_.. {c |}{col 14}{res}{space 2}-.7283801{col 26}{space 2} 1.216172{col 37}{space 1}   -0.60{col 46}{space 3}0.550{col 54}{space 4}-3.120781{col 67}{space 3} 1.664021
{txt}c_f~c_educyr {c |}{col 14}{res}{space 2}-.1569495{col 26}{space 2} .1545031{col 37}{space 1}   -1.02{col 46}{space 3}0.310{col 54}{space 4}-.4608814{col 67}{space 3} .1469824
{txt}c_fullomn_.. {c |}{col 14}{res}{space 2} .2867135{col 26}{space 2} .4238124{col 37}{space 1}    0.68{col 46}{space 3}0.499{col 54}{space 4}-.5469919{col 67}{space 3} 1.120419
{txt}{space 4}c_hc_hc2 {c |}{col 14}{res}{space 2} .0157133{col 26}{space 2} .2784005{col 37}{space 1}    0.06{col 46}{space 3}0.955{col 54}{space 4}-.5319442{col 67}{space 3} .5633707
{txt}c_hc_b_h_del {c |}{col 14}{res}{space 2}-.1806085{col 26}{space 2} .2869282{col 37}{space 1}   -0.63{col 46}{space 3}0.529{col 54}{space 4}-.7450412{col 67}{space 3} .3838243
{txt}c_hc_b_h_s~s {c |}{col 14}{res}{space 2} .7120955{col 26}{space 2} .2899102{col 37}{space 1}    2.46{col 46}{space 3}0.015{col 54}{space 4} .1417967{col 67}{space 3} 1.282394
{txt}c_hc_b_vis~d {c |}{col 14}{res}{space 2} .7824656{col 26}{space 2} .7181644{col 37}{space 1}    1.09{col 46}{space 3}0.277{col 54}{space 4}-.6302765{col 67}{space 3} 2.195208
{txt}{space 1}c_hc_educyr {c |}{col 14}{res}{space 2} .0239301{col 26}{space 2} .1000821{col 37}{space 1}    0.24{col 46}{space 3}0.811{col 54}{space 4}-.1729471{col 67}{space 3} .2208073
{txt}c_hc_b_ass~x {c |}{col 14}{res}{space 2} .3112917{col 26}{space 2} .2685216{col 37}{space 1}    1.16{col 46}{space 3}0.247{col 54}{space 4}-.2169324{col 67}{space 3} .8395157
{txt}c_info~c_hc2 {c |}{col 14}{res}{space 2}-.0792842{col 26}{space 2} .3894572{col 37}{space 1}   -0.20{col 46}{space 3}0.839{col 54}{space 4}-.8454077{col 67}{space 3} .6868392
{txt}c_infomn_h.. {c |}{col 14}{res}{space 2} .1289612{col 26}{space 2} .3791484{col 37}{space 1}    0.34{col 46}{space 3}0.734{col 54}{space 4}-.6168831{col 67}{space 3} .8748054
{txt}c_infomn_h.. {c |}{col 14}{res}{space 2}-.4991506{col 26}{space 2} .3794645{col 37}{space 1}   -1.32{col 46}{space 3}0.189{col 54}{space 4}-1.245617{col 67}{space 3} .2473156
{txt}c_infomn_h.. {c |}{col 14}{res}{space 2}-2.462872{col 26}{space 2} 1.322232{col 37}{space 1}   -1.86{col 46}{space 3}0.063{col 54}{space 4} -5.06391{col 67}{space 3} .1381649
{txt}c_infomn_h.. {c |}{col 14}{res}{space 2}-.0665307{col 26}{space 2}  .135278{col 37}{space 1}   -0.49{col 46}{space 3}0.623{col 54}{space 4}-.3326438{col 67}{space 3} .1995824
{txt}c_infomn_h.. {c |}{col 14}{res}{space 2}-.3022312{col 26}{space 2} .3626403{col 37}{space 1}   -0.83{col 46}{space 3}0.405{col 54}{space 4}-1.015602{col 67}{space 3} .4111393
{txt}c_into~c_hc2 {c |}{col 14}{res}{space 2}-.0938044{col 26}{space 2} .4171758{col 37}{space 1}   -0.22{col 46}{space 3}0.822{col 54}{space 4}-.9144547{col 67}{space 3} .7268458
{txt}c_intomn_h.. {c |}{col 14}{res}{space 2} .0020467{col 26}{space 2}  .396304{col 37}{space 1}    0.01{col 46}{space 3}0.996{col 54}{space 4}-.7775453{col 67}{space 3} .7816387
{txt}c_intomn_h.. {c |}{col 14}{res}{space 2}-.4558633{col 26}{space 2}  .354007{col 37}{space 1}   -1.29{col 46}{space 3}0.199{col 54}{space 4} -1.15225{col 67}{space 3} .2405239
{txt}c_intomn_h.. {c |}{col 14}{res}{space 2} .3778935{col 26}{space 2} 1.720596{col 37}{space 1}    0.22{col 46}{space 3}0.826{col 54}{space 4}-3.006788{col 67}{space 3} 3.762575
{txt}c_intomn_h.. {c |}{col 14}{res}{space 2}-.0156156{col 26}{space 2} .1470655{col 37}{space 1}   -0.11{col 46}{space 3}0.916{col 54}{space 4}-.3049166{col 67}{space 3} .2736853
{txt}c_intomn_h.. {c |}{col 14}{res}{space 2}-.0087034{col 26}{space 2} .3637918{col 37}{space 1}   -0.02{col 46}{space 3}0.981{col 54}{space 4}-.7243388{col 67}{space 3}  .706932
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} .0162115{col 26}{space 2} .1089068{col 37}{space 1}    0.15{col 46}{space 3}0.882{col 54}{space 4}-.1980252{col 67}{space 3} .2304483
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}infomn - intomn = 0{p_end}

{txt}       F(  1,   331) ={res}    0.04
{txt}{col 13}Prob > F ={res}    0.8346

{txt}added scalar:
             e(f_wald) =  {res}.83459902

{p 0 7}{space 1}{text:( 1)}{space 1}{space 1}{res}- fullomn + infomn = 0{p_end}

{txt}       F(  1,   331) ={res}    2.28
{txt}{col 13}Prob > F ={res}    0.1318

{txt}added scalar:
            e(f_wald1) =  {res}.13178464

{p 0 7}{space 1}{text:( 1)}{space 1}{space 1}{res}- fullomn + intomn = 0{p_end}

{txt}       F(  1,   331) ={res}    2.79
{txt}{col 13}Prob > F ={res}    0.0958

{txt}added scalar:
            e(f_wald2) =  {res}.0958252

{p 0 7}{space 1}{text:( 1)}{space 1} fullomn = 0{p_end}
{p 0 7}{space 1}{text:( 2)}{space 1} infomn = 0{p_end}
{p 0 7}{space 1}{text:( 3)}{space 1} intomn = 0{p_end}

{txt}       F(  3,   331) ={res}    1.14
{txt}{col 13}Prob > F ={res}    0.3312

{txt}added scalar:
                e(f_3) =  {res}1.1442706

{txt}added scalar:
            e(f_wald3) =  {res}.33124953

{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}       376
{txt}{col 49}F({res}  29{txt},{res}    331{txt}){col 67}= {res}      1.82
{txt}{col 49}Prob > F{col 67}= {res}    0.0071
{txt}{col 49}R-squared{col 67}= {res}    0.3673
{txt}{col 49}Adj R-squared{col 67}= {res}    0.2832
{txt}{col 49}Root MSE{col 67}= {res}    0.6980

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}e_h_meanst~z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 5}fullomn {c |}{col 14}{res}{space 2} .2463552{col 26}{space 2}  .108655{col 37}{space 1}    2.27{col 46}{space 3}0.024{col 54}{space 4} .0326138{col 67}{space 3} .4600966
{txt}{space 6}infomn {c |}{col 14}{res}{space 2} .3125991{col 26}{space 2} .1107511{col 37}{space 1}    2.82{col 46}{space 3}0.005{col 54}{space 4} .0947343{col 67}{space 3} .5304639
{txt}{space 6}intomn {c |}{col 14}{res}{space 2} .3432447{col 26}{space 2} .1026795{col 37}{space 1}    3.34{col 46}{space 3}0.001{col 54}{space 4} .1412579{col 67}{space 3} .5452314
{txt}b_h_meanst~z {c |}{col 14}{res}{space 2}-.0272221{col 26}{space 2} .0473368{col 37}{space 1}   -0.58{col 46}{space 3}0.566{col 54}{space 4}-.1203411{col 67}{space 3} .0658969
{txt}b_h_mean~z_d {c |}{col 14}{res}{space 2}-.0113823{col 26}{space 2} .1138029{col 37}{space 1}   -0.10{col 46}{space 3}0.920{col 54}{space 4}-.2352504{col 67}{space 3} .2124858
{txt}c_full~c_hc2 {c |}{col 14}{res}{space 2} .1496144{col 26}{space 2} .3054722{col 37}{space 1}    0.49{col 46}{space 3}0.625{col 54}{space 4}-.4512974{col 67}{space 3} .7505261
{txt}c_fullomn_.. {c |}{col 14}{res}{space 2}-.3752641{col 26}{space 2} .3053718{col 37}{space 1}   -1.23{col 46}{space 3}0.220{col 54}{space 4}-.9759783{col 67}{space 3} .2254501
{txt}c_fullomn_.. {c |}{col 14}{res}{space 2} .4116715{col 26}{space 2} .2858001{col 37}{space 1}    1.44{col 46}{space 3}0.151{col 54}{space 4}-.1505421{col 67}{space 3} .9738851
{txt}c_fullomn_.. {c |}{col 14}{res}{space 2} 1.517287{col 26}{space 2} .9648353{col 37}{space 1}    1.57{col 46}{space 3}0.117{col 54}{space 4}-.3806952{col 67}{space 3}  3.41527
{txt}c_f~c_educyr {c |}{col 14}{res}{space 2} .2512883{col 26}{space 2} .1206744{col 37}{space 1}    2.08{col 46}{space 3}0.038{col 54}{space 4}  .013903{col 67}{space 3} .4886737
{txt}c_fullomn_.. {c |}{col 14}{res}{space 2}-.8106069{col 26}{space 2} .2607395{col 37}{space 1}   -3.11{col 46}{space 3}0.002{col 54}{space 4}-1.323522{col 67}{space 3}-.2976913
{txt}{space 4}c_hc_hc2 {c |}{col 14}{res}{space 2}-.2283198{col 26}{space 2} .2227432{col 37}{space 1}   -1.03{col 46}{space 3}0.306{col 54}{space 4}-.6664907{col 67}{space 3}  .209851
{txt}c_hc_b_h_del {c |}{col 14}{res}{space 2} .2951735{col 26}{space 2} .2339282{col 37}{space 1}    1.26{col 46}{space 3}0.208{col 54}{space 4}-.1650001{col 67}{space 3}  .755347
{txt}c_hc_b_h_s~s {c |}{col 14}{res}{space 2}-.1100292{col 26}{space 2} .1996112{col 37}{space 1}   -0.55{col 46}{space 3}0.582{col 54}{space 4}-.5026958{col 67}{space 3} .2826374
{txt}c_hc_b_vis~d {c |}{col 14}{res}{space 2}-1.200699{col 26}{space 2} .7272495{col 37}{space 1}   -1.65{col 46}{space 3}0.100{col 54}{space 4}-2.631313{col 67}{space 3} .2299147
{txt}{space 1}c_hc_educyr {c |}{col 14}{res}{space 2}-.2344409{col 26}{space 2} .0756096{col 37}{space 1}   -3.10{col 46}{space 3}0.002{col 54}{space 4}-.3831769{col 67}{space 3}-.0857049
{txt}c_hc_b_ass~x {c |}{col 14}{res}{space 2} .7228704{col 26}{space 2} .2181935{col 37}{space 1}    3.31{col 46}{space 3}0.001{col 54}{space 4} .2936495{col 67}{space 3} 1.152091
{txt}c_info~c_hc2 {c |}{col 14}{res}{space 2}-.0790027{col 26}{space 2} .3127777{col 37}{space 1}   -0.25{col 46}{space 3}0.801{col 54}{space 4}-.6942856{col 67}{space 3} .5362801
{txt}c_infomn_h.. {c |}{col 14}{res}{space 2}-.1925139{col 26}{space 2} .3146023{col 37}{space 1}   -0.61{col 46}{space 3}0.541{col 54}{space 4} -.811386{col 67}{space 3} .4263581
{txt}c_infomn_h.. {c |}{col 14}{res}{space 2} -.008977{col 26}{space 2} .2868291{col 37}{space 1}   -0.03{col 46}{space 3}0.975{col 54}{space 4}-.5732149{col 67}{space 3} .5552609
{txt}c_infomn_h.. {c |}{col 14}{res}{space 2} 2.158309{col 26}{space 2} 1.258908{col 37}{space 1}    1.71{col 46}{space 3}0.087{col 54}{space 4}  -.31816{col 67}{space 3} 4.634778
{txt}c_infomn_h.. {c |}{col 14}{res}{space 2} .2825941{col 26}{space 2} .1116134{col 37}{space 1}    2.53{col 46}{space 3}0.012{col 54}{space 4}  .063033{col 67}{space 3} .5021552
{txt}c_infomn_h.. {c |}{col 14}{res}{space 2}-.7028564{col 26}{space 2} .3162272{col 37}{space 1}   -2.22{col 46}{space 3}0.027{col 54}{space 4}-1.324925{col 67}{space 3}-.0807879
{txt}c_into~c_hc2 {c |}{col 14}{res}{space 2} .0278258{col 26}{space 2} .2684873{col 37}{space 1}    0.10{col 46}{space 3}0.918{col 54}{space 4}-.5003308{col 67}{space 3} .5559825
{txt}c_intomn_h.. {c |}{col 14}{res}{space 2}-.3203261{col 26}{space 2} .2711617{col 37}{space 1}   -1.18{col 46}{space 3}0.238{col 54}{space 4}-.8537438{col 67}{space 3} .2130916
{txt}c_intomn_h.. {c |}{col 14}{res}{space 2} .4736929{col 26}{space 2} .2593375{col 37}{space 1}    1.83{col 46}{space 3}0.069{col 54}{space 4}-.0364645{col 67}{space 3} .9838504
{txt}c_intomn_h.. {c |}{col 14}{res}{space 2} .1803277{col 26}{space 2} 1.122244{col 37}{space 1}    0.16{col 46}{space 3}0.872{col 54}{space 4}-2.027302{col 67}{space 3} 2.387958
{txt}c_intomn_h.. {c |}{col 14}{res}{space 2} .3173301{col 26}{space 2} .1103742{col 37}{space 1}    2.88{col 46}{space 3}0.004{col 54}{space 4} .1002067{col 67}{space 3} .5344535
{txt}c_intomn_h.. {c |}{col 14}{res}{space 2}-1.175702{col 26}{space 2} .3117133{col 37}{space 1}   -3.77{col 46}{space 3}0.000{col 54}{space 4}-1.788891{col 67}{space 3}-.5625134
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} .0101888{col 26}{space 2} .0876733{col 37}{space 1}    0.12{col 46}{space 3}0.908{col 54}{space 4}-.1622784{col 67}{space 3} .1826559
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}infomn - intomn = 0{p_end}

{txt}       F(  1,   331) ={res}    0.10
{txt}{col 13}Prob > F ={res}    0.7479

{txt}added scalar:
             e(f_wald) =  {res}.74790131

{p 0 7}{space 1}{text:( 1)}{space 1}{space 1}{res}- fullomn + infomn = 0{p_end}

{txt}       F(  1,   331) ={res}    0.40
{txt}{col 13}Prob > F ={res}    0.5253

{txt}added scalar:
            e(f_wald1) =  {res}.5253207

{p 0 7}{space 1}{text:( 1)}{space 1}{space 1}{res}- fullomn + intomn = 0{p_end}

{txt}       F(  1,   331) ={res}    1.11
{txt}{col 13}Prob > F ={res}    0.2920

{txt}added scalar:
            e(f_wald2) =  {res}.29202381

{p 0 7}{space 1}{text:( 1)}{space 1} fullomn = 0{p_end}
{p 0 7}{space 1}{text:( 2)}{space 1} infomn = 0{p_end}
{p 0 7}{space 1}{text:( 3)}{space 1} intomn = 0{p_end}

{txt}       F(  3,   331) ={res}    4.06
{txt}{col 13}Prob > F ={res}    0.0074

{txt}added scalar:
                e(f_3) =  {res}4.0648983

{txt}added scalar:
            e(f_wald3) =  {res}.00740567
{txt}
{com}.                 
.         # delimit;
{txt}delimiter now ;
{com}.                 esttab m1 m2 m3 m4 m5 m6 m7 m8 m9 m10
>         using "${c -(}tables{c )-}/TableI41.tex", b(%5.3f) se(%5.3f)
>                 title(Treatment quality outcomes -- All treatment arms)
>                 keep(fullomn infomn intomn _cons)
>                 varlabels (fullomn "Full treatment" infomn "Information and mobilization only" intomn "Interface only" _cons "Constant")
>                 starlevels(* .10 ** .05 *** .01)                
>                 mtitles("\textbf{c -(}\begin{c -(}tabular{c )-}[c]{c -(}@{c -(}{c )-}c@{c -(}{c )-}{c )-}Treatment\\quality\\index\end{c -(}tabular{c )-}{c )-}"
>                                 "\begin{c -(}tabular{c )-}[c]{c -(}@{c -(}{c )-}c@{c -(}{c )-}{c )-}Used\\equipment\end{c -(}tabular{c )-}"
>                                 "\begin{c -(}tabular{c )-}[c]{c -(}@{c -(}{c )-}c@{c -(}{c )-}{c )-}Waiting\\time\end{c -(}tabular{c )-}"
>                                 "\begin{c -(}tabular{c )-}[c]{c -(}@{c -(}{c )-}c@{c -(}{c )-}{c )-}Examined\\by trained\\staff\end{c -(}tabular{c )-}"
>                                 "\begin{c -(}tabular{c )-}[c]{c -(}@{c -(}{c )-}c@{c -(}{c )-}{c )-}Privacy\\during\\exam\end{c -(}tabular{c )-}"
>                                 "\begin{c -(}tabular{c )-}[c]{c -(}@{c -(}{c )-}c@{c -(}{c )-}{c )-}Received\\test when\\needed\end{c -(}tabular{c )-} "
>                                 "\begin{c -(}tabular{c )-}[c]{c -(}@{c -(}{c )-}c@{c -(}{c )-}{c )-}Diagnosis\\explained\\clearly\end{c -(}tabular{c )-}"
>                                 "\begin{c -(}tabular{c )-}[c]{c -(}@{c -(}{c )-}c@{c -(}{c )-}{c )-}\% staff\\presence\end{c -(}tabular{c )-}"
>                                 "\begin{c -(}tabular{c )-}[c]{c -(}@{c -(}{c )-}c@{c -(}{c )-}{c )-}Facility\\cleanliness\end{c -(}tabular{c )-}"
>                                 "\begin{c -(}tabular{c )-}[c]{c -(}@{c -(}{c )-}c@{c -(}{c )-}{c )-}Drug\\availability\end{c -(}tabular{c )-}")
>                 stats(N r2 f_wald f_wald1 f_wald2 hline f_3 f_wald3, labels("N" "R$^{c -(}2{c )-}$" "P-value (Information and mobilization = Interface)" "P-value (Information = Full treatment)" "P-value (Interface = Full treatment)" "\hline" "F-test (joint significance of all 3 treatment groups)" "P-value (joint significance of all 3 treatment groups)") fmt(%9.0fc %9.3fc)) label booktabs nonotes replace
>         
>         ;
{res}{txt}(output written to {browse  `"/Users/fredericcochinard/Dropbox/ACT_Health_JOP_replication_file/3.Tables and Figures/Tables/TableI41.tex"'})

{com}.                 # delimit cr
{txt}delimiter now cr
{com}.         
.         *****************************************************************
.         * Table I42: Patient satisfaction outcomes – All treatment arms *
.         *****************************************************************
.         
.         * We work on the coefficient plot and figures for the patient satisfaction indice
.         
.         * At endline:
.         
.         eststo clear
{txt}
{com}.         
.         local y = 1
{txt}
{com}.         foreach x in `patsat' {c -(}
{txt}  2{com}.                 areg e_`x' fullomn infomn intomn b_`x' b_`x'_d `fullomn_int_e_controls' `e_controls' `infomn_int_e_controls' `intomn_int_e_controls', robust cl(hc_id) a(district)
{txt}  3{com}.                 
.                 test infomn = intomn
{txt}  4{com}.                 estadd scalar f_wald = r(p)
{txt}  5{com}.                 
.                 test infomn = fullomn
{txt}  6{com}.                 estadd scalar f_wald1 = r(p)
{txt}  7{com}.                 
.                 test intomn = fullomn
{txt}  8{com}.                 estadd scalar f_wald2 = r(p)
{txt}  9{com}.                 
.                 test fullomn infomn intomn
{txt} 10{com}.                 estadd scalar f_3 = r(F)
{txt} 11{com}.                 estadd scalar f_wald3 = r(p)
{txt} 12{com}.                 
.                 estimates store m`y'
{txt} 13{com}.                 
.                 local y = `y' + 1
{txt} 14{com}.                 {c )-}
{txt}note: b_patsat_z_d omitted because of collinearity
{res}
{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}    14,609
{txt}{col 49}F({res}  25{txt},{res}    375{txt}){col 67}= {res}      8.96
{txt}{col 49}Prob > F{col 67}= {res}    0.0000
{txt}{col 49}R-squared{col 67}= {res}    0.0386
{txt}{col 49}Adj R-squared{col 67}= {res}    0.0360
{txt}{col 49}Root MSE{col 67}= {res}    0.5736

{txt}{ralign 78:(Std. Err. adjusted for {res:376} clusters in hc_id)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}  e_patsat_z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 5}fullomn {c |}{col 14}{res}{space 2} .0760157{col 26}{space 2} .0244141{col 37}{space 1}    3.11{col 46}{space 3}0.002{col 54}{space 4} .0280101{col 67}{space 3} .1240213
{txt}{space 6}infomn {c |}{col 14}{res}{space 2} .0672052{col 26}{space 2} .0260045{col 37}{space 1}    2.58{col 46}{space 3}0.010{col 54}{space 4} .0160724{col 67}{space 3} .1183381
{txt}{space 6}intomn {c |}{col 14}{res}{space 2} .0600532{col 26}{space 2}  .022278{col 37}{space 1}    2.70{col 46}{space 3}0.007{col 54}{space 4} .0162478{col 67}{space 3} .1038586
{txt}{space 2}b_patsat_z {c |}{col 14}{res}{space 2} .1277984{col 26}{space 2} .0103327{col 37}{space 1}   12.37{col 46}{space 3}0.000{col 54}{space 4}  .107481{col 67}{space 3} .1481157
{txt}b_patsat_z_d {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
c_full~n_hc2 {c |}{col 14}{res}{space 2}-.1023262{col 26}{space 2} .0396007{col 37}{space 1}   -2.58{col 46}{space 3}0.010{col 54}{space 4}-.1801935{col 67}{space 3}-.0244588
{txt}c_fullomn_.. {c |}{col 14}{res}{space 2}-.0564957{col 26}{space 2} .0461344{col 37}{space 1}   -1.22{col 46}{space 3}0.221{col 54}{space 4}-.1472103{col 67}{space 3} .0342189
{txt}c_fullomn_.. {c |}{col 14}{res}{space 2} .0176989{col 26}{space 2} .0536168{col 37}{space 1}    0.33{col 46}{space 3}0.742{col 54}{space 4}-.0877283{col 67}{space 3}  .123126
{txt}c_fullomn_.. {c |}{col 14}{res}{space 2}-.0339653{col 26}{space 2}  .049886{col 37}{space 1}   -0.68{col 46}{space 3}0.496{col 54}{space 4}-.1320568{col 67}{space 3} .0641261
{txt}c_f~n_educyr {c |}{col 14}{res}{space 2} .0018361{col 26}{space 2} .0036093{col 37}{space 1}    0.51{col 46}{space 3}0.611{col 54}{space 4}-.0052609{col 67}{space 3} .0089331
{txt}c_fullomn_.. {c |}{col 14}{res}{space 2}-.0195985{col 26}{space 2} .0148074{col 37}{space 1}   -1.32{col 46}{space 3}0.186{col 54}{space 4}-.0487144{col 67}{space 3} .0095173
{txt}c_b_visite~d {c |}{col 14}{res}{space 2} .0158756{col 26}{space 2} .0418705{col 37}{space 1}    0.38{col 46}{space 3}0.705{col 54}{space 4}-.0664547{col 67}{space 3} .0982059
{txt}{space 4}c_educyr {c |}{col 14}{res}{space 2} .0030688{col 26}{space 2} .0027146{col 37}{space 1}    1.13{col 46}{space 3}0.259{col 54}{space 4} -.002269{col 67}{space 3} .0084065
{txt}c_b_asseti~x {c |}{col 14}{res}{space 2} .0082771{col 26}{space 2} .0101812{col 37}{space 1}    0.81{col 46}{space 3}0.417{col 54}{space 4}-.0117422{col 67}{space 3} .0282964
{txt}c_infomn_hc2 {c |}{col 14}{res}{space 2}  -.00206{col 26}{space 2} .0387275{col 37}{space 1}   -0.05{col 46}{space 3}0.958{col 54}{space 4}-.0782102{col 67}{space 3} .0740902
{txt}c_infomn_b~l {c |}{col 14}{res}{space 2}-.0053741{col 26}{space 2} .0387558{col 37}{space 1}   -0.14{col 46}{space 3}0.890{col 54}{space 4}  -.08158{col 67}{space 3} .0708318
{txt}c_infomn_b~s {c |}{col 14}{res}{space 2} .0735839{col 26}{space 2} .0668889{col 37}{space 1}    1.10{col 46}{space 3}0.272{col 54}{space 4}-.0579405{col 67}{space 3} .2051083
{txt}c_infomn_b.. {c |}{col 14}{res}{space 2} .0162651{col 26}{space 2} .0560292{col 37}{space 1}    0.29{col 46}{space 3}0.772{col 54}{space 4}-.0939056{col 67}{space 3} .1264358
{txt}c_infomn_e~r {c |}{col 14}{res}{space 2}-.0060814{col 26}{space 2} .0036282{col 37}{space 1}   -1.68{col 46}{space 3}0.095{col 54}{space 4}-.0132157{col 67}{space 3} .0010528
{txt}c_infomn_b.. {c |}{col 14}{res}{space 2} .0082541{col 26}{space 2} .0150505{col 37}{space 1}    0.55{col 46}{space 3}0.584{col 54}{space 4}-.0213399{col 67}{space 3} .0378481
{txt}c_intomn_hc2 {c |}{col 14}{res}{space 2}-.1148978{col 26}{space 2} .0339321{col 37}{space 1}   -3.39{col 46}{space 3}0.001{col 54}{space 4}-.1816189{col 67}{space 3}-.0481768
{txt}c_intomn_b~l {c |}{col 14}{res}{space 2}-.0163477{col 26}{space 2} .0358705{col 37}{space 1}   -0.46{col 46}{space 3}0.649{col 54}{space 4}-.0868803{col 67}{space 3} .0541849
{txt}c_intomn_b~s {c |}{col 14}{res}{space 2} .0532414{col 26}{space 2} .0354817{col 37}{space 1}    1.50{col 46}{space 3}0.134{col 54}{space 4}-.0165266{col 67}{space 3} .1230094
{txt}c_intomn_b.. {c |}{col 14}{res}{space 2}-.0245739{col 26}{space 2} .0540287{col 37}{space 1}   -0.45{col 46}{space 3}0.649{col 54}{space 4}-.1308111{col 67}{space 3} .0816632
{txt}c_intomn_e~r {c |}{col 14}{res}{space 2}-.0019231{col 26}{space 2} .0037311{col 37}{space 1}   -0.52{col 46}{space 3}0.607{col 54}{space 4}-.0092596{col 67}{space 3} .0054133
{txt}c_intomn_b.. {c |}{col 14}{res}{space 2} .0146334{col 26}{space 2} .0142145{col 37}{space 1}    1.03{col 46}{space 3}0.304{col 54}{space 4}-.0133167{col 67}{space 3} .0425835
{txt}{space 7}_cons {c |}{col 14}{res}{space 2}-.0017983{col 26}{space 2} .0183461{col 37}{space 1}   -0.10{col 46}{space 3}0.922{col 54}{space 4}-.0378725{col 67}{space 3} .0342758
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}infomn - intomn = 0{p_end}

{txt}       F(  1,   375) ={res}    0.10
{txt}{col 13}Prob > F ={res}    0.7495

{txt}added scalar:
             e(f_wald) =  {res}.74952525

{p 0 7}{space 1}{text:( 1)}{space 1}{space 1}{res}- fullomn + infomn = 0{p_end}

{txt}       F(  1,   375) ={res}    0.13
{txt}{col 13}Prob > F ={res}    0.7186

{txt}added scalar:
            e(f_wald1) =  {res}.71859489

{p 0 7}{space 1}{text:( 1)}{space 1}{space 1}{res}- fullomn + intomn = 0{p_end}

{txt}       F(  1,   375) ={res}    0.62
{txt}{col 13}Prob > F ={res}    0.4333

{txt}added scalar:
            e(f_wald2) =  {res}.43325666

{p 0 7}{space 1}{text:( 1)}{space 1} fullomn = 0{p_end}
{p 0 7}{space 1}{text:( 2)}{space 1} infomn = 0{p_end}
{p 0 7}{space 1}{text:( 3)}{space 1} intomn = 0{p_end}

{txt}       F(  3,   375) ={res}    3.75
{txt}{col 13}Prob > F ={res}    0.0112

{txt}added scalar:
                e(f_3) =  {res}3.7511434

{txt}added scalar:
            e(f_wald3) =  {res}.01118376

{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}    14,609
{txt}{col 49}F({res}  26{txt},{res}    375{txt}){col 67}= {res}      8.37
{txt}{col 49}Prob > F{col 67}= {res}    0.0000
{txt}{col 49}R-squared{col 67}= {res}    0.0391
{txt}{col 49}Adj R-squared{col 67}= {res}    0.0364
{txt}{col 49}Root MSE{col 67}= {res}    0.9596

{txt}{ralign 78:(Std. Err. adjusted for {res:376} clusters in hc_id)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}e_qualityc~z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 5}fullomn {c |}{col 14}{res}{space 2} .0604203{col 26}{space 2} .0337864{col 37}{space 1}    1.79{col 46}{space 3}0.075{col 54}{space 4}-.0060143{col 67}{space 3} .1268548
{txt}{space 6}infomn {c |}{col 14}{res}{space 2} .0511695{col 26}{space 2} .0351589{col 37}{space 1}    1.46{col 46}{space 3}0.146{col 54}{space 4}-.0179638{col 67}{space 3} .1203027
{txt}{space 6}intomn {c |}{col 14}{res}{space 2} .0573655{col 26}{space 2} .0328403{col 37}{space 1}    1.75{col 46}{space 3}0.081{col 54}{space 4}-.0072087{col 67}{space 3} .1219398
{txt}b_qualityc~z {c |}{col 14}{res}{space 2} .1111266{col 26}{space 2} .0090391{col 37}{space 1}   12.29{col 46}{space 3}0.000{col 54}{space 4} .0933529{col 67}{space 3} .1289004
{txt}b_qual~e_z_d {c |}{col 14}{res}{space 2}-.0885119{col 26}{space 2} .0324056{col 37}{space 1}   -2.73{col 46}{space 3}0.007{col 54}{space 4}-.1522314{col 67}{space 3}-.0247925
{txt}c_full~n_hc2 {c |}{col 14}{res}{space 2}   .02952{col 26}{space 2}  .053577{col 37}{space 1}    0.55{col 46}{space 3}0.582{col 54}{space 4}-.0758289{col 67}{space 3} .1348689
{txt}c_fullomn_.. {c |}{col 14}{res}{space 2}-.0189052{col 26}{space 2} .0690889{col 37}{space 1}   -0.27{col 46}{space 3}0.785{col 54}{space 4}-.1547553{col 67}{space 3}  .116945
{txt}c_fullomn_.. {c |}{col 14}{res}{space 2}    .0833{col 26}{space 2} .0870002{col 37}{space 1}    0.96{col 46}{space 3}0.339{col 54}{space 4}-.0877694{col 67}{space 3} .2543695
{txt}c_fullomn_.. {c |}{col 14}{res}{space 2} .0160116{col 26}{space 2} .0854122{col 37}{space 1}    0.19{col 46}{space 3}0.851{col 54}{space 4}-.1519353{col 67}{space 3} .1839586
{txt}c_f~n_educyr {c |}{col 14}{res}{space 2} .0038273{col 26}{space 2}  .005478{col 37}{space 1}    0.70{col 46}{space 3}0.485{col 54}{space 4}-.0069442{col 67}{space 3} .0145988
{txt}c_fullomn_.. {c |}{col 14}{res}{space 2} -.023399{col 26}{space 2} .0258868{col 37}{space 1}   -0.90{col 46}{space 3}0.367{col 54}{space 4}-.0743004{col 67}{space 3} .0275024
{txt}c_b_visite~d {c |}{col 14}{res}{space 2}-.0873963{col 26}{space 2} .0669751{col 37}{space 1}   -1.30{col 46}{space 3}0.193{col 54}{space 4}  -.21909{col 67}{space 3} .0442975
{txt}{space 4}c_educyr {c |}{col 14}{res}{space 2} .0039375{col 26}{space 2} .0040083{col 37}{space 1}    0.98{col 46}{space 3}0.327{col 54}{space 4} -.003944{col 67}{space 3}  .011819
{txt}c_b_asseti~x {c |}{col 14}{res}{space 2}-9.07e-06{col 26}{space 2} .0170211{col 37}{space 1}   -0.00{col 46}{space 3}1.000{col 54}{space 4}-.0334777{col 67}{space 3} .0334596
{txt}c_infomn_hc2 {c |}{col 14}{res}{space 2} .1471285{col 26}{space 2} .0546686{col 37}{space 1}    2.69{col 46}{space 3}0.007{col 54}{space 4}  .039633{col 67}{space 3}  .254624
{txt}c_infomn_b~l {c |}{col 14}{res}{space 2} .1350206{col 26}{space 2} .0610401{col 37}{space 1}    2.21{col 46}{space 3}0.028{col 54}{space 4} .0149968{col 67}{space 3} .2550444
{txt}c_infomn_b~s {c |}{col 14}{res}{space 2}  .000772{col 26}{space 2} .0923342{col 37}{space 1}    0.01{col 46}{space 3}0.993{col 54}{space 4}-.1807857{col 67}{space 3} .1823296
{txt}c_infomn_b.. {c |}{col 14}{res}{space 2} .0927575{col 26}{space 2} .0873667{col 37}{space 1}    1.06{col 46}{space 3}0.289{col 54}{space 4}-.0790324{col 67}{space 3} .2645475
{txt}c_infomn_e~r {c |}{col 14}{res}{space 2}-.0052267{col 26}{space 2} .0058317{col 37}{space 1}   -0.90{col 46}{space 3}0.371{col 54}{space 4}-.0166936{col 67}{space 3} .0062403
{txt}c_infomn_b.. {c |}{col 14}{res}{space 2} .0022334{col 26}{space 2} .0273632{col 37}{space 1}    0.08{col 46}{space 3}0.935{col 54}{space 4}-.0515711{col 67}{space 3}  .056038
{txt}c_intomn_hc2 {c |}{col 14}{res}{space 2}-.1475385{col 26}{space 2} .0608368{col 37}{space 1}   -2.43{col 46}{space 3}0.016{col 54}{space 4}-.2671625{col 67}{space 3}-.0279146
{txt}c_intomn_b~l {c |}{col 14}{res}{space 2}-.0423773{col 26}{space 2} .0691828{col 37}{space 1}   -0.61{col 46}{space 3}0.541{col 54}{space 4}-.1784122{col 67}{space 3} .0936576
{txt}c_intomn_b~s {c |}{col 14}{res}{space 2} .0085525{col 26}{space 2} .0723884{col 37}{space 1}    0.12{col 46}{space 3}0.906{col 54}{space 4}-.1337856{col 67}{space 3} .1508906
{txt}c_intomn_b.. {c |}{col 14}{res}{space 2}-.0528193{col 26}{space 2} .0806761{col 37}{space 1}   -0.65{col 46}{space 3}0.513{col 54}{space 4}-.2114535{col 67}{space 3}  .105815
{txt}c_intomn_e~r {c |}{col 14}{res}{space 2} -.002227{col 26}{space 2} .0054381{col 37}{space 1}   -0.41{col 46}{space 3}0.682{col 54}{space 4}-.0129201{col 67}{space 3}  .008466
{txt}c_intomn_b.. {c |}{col 14}{res}{space 2} .0118188{col 26}{space 2} .0226284{col 37}{space 1}    0.52{col 46}{space 3}0.602{col 54}{space 4}-.0326757{col 67}{space 3} .0563134
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} .0096571{col 26}{space 2} .0231102{col 37}{space 1}    0.42{col 46}{space 3}0.676{col 54}{space 4}-.0357847{col 67}{space 3} .0550988
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}infomn - intomn = 0{p_end}

{txt}       F(  1,   375) ={res}    0.03
{txt}{col 13}Prob > F ={res}    0.8629

{txt}added scalar:
             e(f_wald) =  {res}.86285483

{p 0 7}{space 1}{text:( 1)}{space 1}{space 1}{res}- fullomn + infomn = 0{p_end}

{txt}       F(  1,   375) ={res}    0.06
{txt}{col 13}Prob > F ={res}    0.8024

{txt}added scalar:
            e(f_wald1) =  {res}.80238111

{p 0 7}{space 1}{text:( 1)}{space 1}{space 1}{res}- fullomn + intomn = 0{p_end}

{txt}       F(  1,   375) ={res}    0.01
{txt}{col 13}Prob > F ={res}    0.9277

{txt}added scalar:
            e(f_wald2) =  {res}.92770717

{p 0 7}{space 1}{text:( 1)}{space 1} fullomn = 0{p_end}
{p 0 7}{space 1}{text:( 2)}{space 1} infomn = 0{p_end}
{p 0 7}{space 1}{text:( 3)}{space 1} intomn = 0{p_end}

{txt}       F(  3,   375) ={res}    1.48
{txt}{col 13}Prob > F ={res}    0.2202

{txt}added scalar:
                e(f_3) =  {res}1.4777005

{txt}added scalar:
            e(f_wald3) =  {res}.22018606

{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}    14,609
{txt}{col 49}F({res}  26{txt},{res}    375{txt}){col 67}= {res}      3.01
{txt}{col 49}Prob > F{col 67}= {res}    0.0000
{txt}{col 49}R-squared{col 67}= {res}    0.0181
{txt}{col 49}Adj R-squared{col 67}= {res}    0.0154
{txt}{col 49}Root MSE{col 67}= {res}    0.9330

{txt}{ralign 78:(Std. Err. adjusted for {res:376} clusters in hc_id)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}e_politest~z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 5}fullomn {c |}{col 14}{res}{space 2} .0714913{col 26}{space 2} .0361168{col 37}{space 1}    1.98{col 46}{space 3}0.048{col 54}{space 4} .0004746{col 67}{space 3} .1425081
{txt}{space 6}infomn {c |}{col 14}{res}{space 2} .0486015{col 26}{space 2} .0413562{col 37}{space 1}    1.18{col 46}{space 3}0.241{col 54}{space 4}-.0327176{col 67}{space 3} .1299207
{txt}{space 6}intomn {c |}{col 14}{res}{space 2}  .044586{col 26}{space 2} .0334427{col 37}{space 1}    1.33{col 46}{space 3}0.183{col 54}{space 4}-.0211727{col 67}{space 3} .1103448
{txt}b_politest~z {c |}{col 14}{res}{space 2} .0701098{col 26}{space 2} .0113215{col 37}{space 1}    6.19{col 46}{space 3}0.000{col 54}{space 4} .0478482{col 67}{space 3} .0923714
{txt}b_polite~z_d {c |}{col 14}{res}{space 2}-.0277853{col 26}{space 2} .0211333{col 37}{space 1}   -1.31{col 46}{space 3}0.189{col 54}{space 4}-.0693399{col 67}{space 3} .0137694
{txt}c_full~n_hc2 {c |}{col 14}{res}{space 2}-.0674036{col 26}{space 2} .0543637{col 37}{space 1}   -1.24{col 46}{space 3}0.216{col 54}{space 4}-.1742995{col 67}{space 3} .0394923
{txt}c_fullomn_.. {c |}{col 14}{res}{space 2}-.0731537{col 26}{space 2} .0585385{col 37}{space 1}   -1.25{col 46}{space 3}0.212{col 54}{space 4}-.1882584{col 67}{space 3} .0419511
{txt}c_fullomn_.. {c |}{col 14}{res}{space 2}  .098416{col 26}{space 2} .0807208{col 37}{space 1}    1.22{col 46}{space 3}0.224{col 54}{space 4}-.0603061{col 67}{space 3} .2571381
{txt}c_fullomn_.. {c |}{col 14}{res}{space 2}-.0871642{col 26}{space 2}  .069202{col 37}{space 1}   -1.26{col 46}{space 3}0.209{col 54}{space 4}-.2232367{col 67}{space 3} .0489084
{txt}c_f~n_educyr {c |}{col 14}{res}{space 2} .0096037{col 26}{space 2} .0055271{col 37}{space 1}    1.74{col 46}{space 3}0.083{col 54}{space 4}-.0012642{col 67}{space 3} .0204716
{txt}c_fullomn_.. {c |}{col 14}{res}{space 2} .0020109{col 26}{space 2} .0236921{col 37}{space 1}    0.08{col 46}{space 3}0.932{col 54}{space 4}-.0445751{col 67}{space 3}  .048597
{txt}c_b_visite~d {c |}{col 14}{res}{space 2}   .01343{col 26}{space 2} .0632109{col 37}{space 1}    0.21{col 46}{space 3}0.832{col 54}{space 4}-.1108622{col 67}{space 3} .1377223
{txt}{space 4}c_educyr {c |}{col 14}{res}{space 2}-.0000627{col 26}{space 2} .0040936{col 37}{space 1}   -0.02{col 46}{space 3}0.988{col 54}{space 4}-.0081121{col 67}{space 3} .0079867
{txt}c_b_asseti~x {c |}{col 14}{res}{space 2} .0041542{col 26}{space 2} .0155801{col 37}{space 1}    0.27{col 46}{space 3}0.790{col 54}{space 4} -.026481{col 67}{space 3} .0347894
{txt}c_infomn_hc2 {c |}{col 14}{res}{space 2}-.0105789{col 26}{space 2} .0818519{col 37}{space 1}   -0.13{col 46}{space 3}0.897{col 54}{space 4}-.1715252{col 67}{space 3} .1503674
{txt}c_infomn_b~l {c |}{col 14}{res}{space 2} -.081484{col 26}{space 2} .0799761{col 37}{space 1}   -1.02{col 46}{space 3}0.309{col 54}{space 4}-.2387419{col 67}{space 3} .0757739
{txt}c_infomn_b~s {c |}{col 14}{res}{space 2}  .099771{col 26}{space 2} .0900659{col 37}{space 1}    1.11{col 46}{space 3}0.269{col 54}{space 4}-.0773264{col 67}{space 3} .2768684
{txt}c_infomn_b.. {c |}{col 14}{res}{space 2} .0209669{col 26}{space 2} .0901366{col 37}{space 1}    0.23{col 46}{space 3}0.816{col 54}{space 4}-.1562696{col 67}{space 3} .1982034
{txt}c_infomn_e~r {c |}{col 14}{res}{space 2} .0000369{col 26}{space 2} .0056123{col 37}{space 1}    0.01{col 46}{space 3}0.995{col 54}{space 4}-.0109987{col 67}{space 3} .0110724
{txt}c_infomn_b.. {c |}{col 14}{res}{space 2} .0243619{col 26}{space 2} .0238372{col 37}{space 1}    1.02{col 46}{space 3}0.307{col 54}{space 4}-.0225095{col 67}{space 3} .0712333
{txt}c_intomn_hc2 {c |}{col 14}{res}{space 2} -.082509{col 26}{space 2} .0575859{col 37}{space 1}   -1.43{col 46}{space 3}0.153{col 54}{space 4}-.1957408{col 67}{space 3} .0307228
{txt}c_intomn_b~l {c |}{col 14}{res}{space 2}-.0425298{col 26}{space 2} .0616865{col 37}{space 1}   -0.69{col 46}{space 3}0.491{col 54}{space 4}-.1638247{col 67}{space 3}  .078765
{txt}c_intomn_b~s {c |}{col 14}{res}{space 2} .0604354{col 26}{space 2}  .053548{col 37}{space 1}    1.13{col 46}{space 3}0.260{col 54}{space 4}-.0448566{col 67}{space 3} .1657274
{txt}c_intomn_b.. {c |}{col 14}{res}{space 2}-.0363556{col 26}{space 2} .0817126{col 37}{space 1}   -0.44{col 46}{space 3}0.657{col 54}{space 4}-.1970279{col 67}{space 3} .1243167
{txt}c_intomn_e~r {c |}{col 14}{res}{space 2}-.0026374{col 26}{space 2} .0054713{col 37}{space 1}   -0.48{col 46}{space 3}0.630{col 54}{space 4}-.0133955{col 67}{space 3} .0081208
{txt}c_intomn_b.. {c |}{col 14}{res}{space 2} .0266389{col 26}{space 2} .0230743{col 37}{space 1}    1.15{col 46}{space 3}0.249{col 54}{space 4}-.0187323{col 67}{space 3} .0720102
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} .0084732{col 26}{space 2} .0273131{col 37}{space 1}    0.31{col 46}{space 3}0.757{col 54}{space 4}-.0452328{col 67}{space 3} .0621793
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}infomn - intomn = 0{p_end}

{txt}       F(  1,   375) ={res}    0.01
{txt}{col 13}Prob > F ={res}    0.9149

{txt}added scalar:
             e(f_wald) =  {res}.91493038

{p 0 7}{space 1}{text:( 1)}{space 1}{space 1}{res}- fullomn + infomn = 0{p_end}

{txt}       F(  1,   375) ={res}    0.33
{txt}{col 13}Prob > F ={res}    0.5647

{txt}added scalar:
            e(f_wald1) =  {res}.56467365

{p 0 7}{space 1}{text:( 1)}{space 1}{space 1}{res}- fullomn + intomn = 0{p_end}

{txt}       F(  1,   375) ={res}    0.73
{txt}{col 13}Prob > F ={res}    0.3941

{txt}added scalar:
            e(f_wald2) =  {res}.39408345

{p 0 7}{space 1}{text:( 1)}{space 1} fullomn = 0{p_end}
{p 0 7}{space 1}{text:( 2)}{space 1} infomn = 0{p_end}
{p 0 7}{space 1}{text:( 3)}{space 1} intomn = 0{p_end}

{txt}       F(  3,   375) ={res}    1.33
{txt}{col 13}Prob > F ={res}    0.2633

{txt}added scalar:
                e(f_3) =  {res}1.3328924

{txt}added scalar:
            e(f_wald3) =  {res}.2633273

{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}    14,609
{txt}{col 49}F({res}  26{txt},{res}    375{txt}){col 67}= {res}      3.01
{txt}{col 49}Prob > F{col 67}= {res}    0.0000
{txt}{col 49}R-squared{col 67}= {res}    0.0154
{txt}{col 49}Adj R-squared{col 67}= {res}    0.0126
{txt}{col 49}Root MSE{col 67}= {res}    0.8822

{txt}{ralign 78:(Std. Err. adjusted for {res:376} clusters in hc_id)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}e_interest~z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 5}fullomn {c |}{col 14}{res}{space 2} .1009143{col 26}{space 2}  .030507{col 37}{space 1}    3.31{col 46}{space 3}0.001{col 54}{space 4} .0409281{col 67}{space 3} .1609004
{txt}{space 6}infomn {c |}{col 14}{res}{space 2} .1086389{col 26}{space 2} .0338726{col 37}{space 1}    3.21{col 46}{space 3}0.001{col 54}{space 4} .0420348{col 67}{space 3} .1752429
{txt}{space 6}intomn {c |}{col 14}{res}{space 2} .0893372{col 26}{space 2} .0284327{col 37}{space 1}    3.14{col 46}{space 3}0.002{col 54}{space 4} .0334297{col 67}{space 3} .1452447
{txt}b_interest~z {c |}{col 14}{res}{space 2} .0554348{col 26}{space 2}  .010619{col 37}{space 1}    5.22{col 46}{space 3}0.000{col 54}{space 4} .0345545{col 67}{space 3} .0763151
{txt}b_intere~z_d {c |}{col 14}{res}{space 2}-.0402448{col 26}{space 2} .0205803{col 37}{space 1}   -1.96{col 46}{space 3}0.051{col 54}{space 4}-.0807121{col 67}{space 3} .0002225
{txt}c_full~n_hc2 {c |}{col 14}{res}{space 2}-.0322692{col 26}{space 2} .0500782{col 37}{space 1}   -0.64{col 46}{space 3}0.520{col 54}{space 4}-.1307386{col 67}{space 3} .0662001
{txt}c_fullomn_.. {c |}{col 14}{res}{space 2}-.0830268{col 26}{space 2} .0607439{col 37}{space 1}   -1.37{col 46}{space 3}0.172{col 54}{space 4}-.2024681{col 67}{space 3} .0364145
{txt}c_fullomn_.. {c |}{col 14}{res}{space 2} .0435699{col 26}{space 2}  .082615{col 37}{space 1}    0.53{col 46}{space 3}0.598{col 54}{space 4}-.1188769{col 67}{space 3} .2060166
{txt}c_fullomn_.. {c |}{col 14}{res}{space 2}-.0441558{col 26}{space 2} .0761223{col 37}{space 1}   -0.58{col 46}{space 3}0.562{col 54}{space 4} -.193836{col 67}{space 3} .1055243
{txt}c_f~n_educyr {c |}{col 14}{res}{space 2} .0006852{col 26}{space 2} .0056092{col 37}{space 1}    0.12{col 46}{space 3}0.903{col 54}{space 4}-.0103442{col 67}{space 3} .0117147
{txt}c_fullomn_.. {c |}{col 14}{res}{space 2}-.0093592{col 26}{space 2} .0214066{col 37}{space 1}   -0.44{col 46}{space 3}0.662{col 54}{space 4}-.0514513{col 67}{space 3} .0327328
{txt}c_b_visite~d {c |}{col 14}{res}{space 2}-.0123408{col 26}{space 2} .0660599{col 37}{space 1}   -0.19{col 46}{space 3}0.852{col 54}{space 4} -.142235{col 67}{space 3} .1175535
{txt}{space 4}c_educyr {c |}{col 14}{res}{space 2} .0046621{col 26}{space 2} .0041921{col 37}{space 1}    1.11{col 46}{space 3}0.267{col 54}{space 4}-.0035809{col 67}{space 3} .0129051
{txt}c_b_asseti~x {c |}{col 14}{res}{space 2} .0039361{col 26}{space 2} .0161429{col 37}{space 1}    0.24{col 46}{space 3}0.807{col 54}{space 4} -.027806{col 67}{space 3} .0356781
{txt}c_infomn_hc2 {c |}{col 14}{res}{space 2} .0412916{col 26}{space 2} .0517288{col 37}{space 1}    0.80{col 46}{space 3}0.425{col 54}{space 4}-.0604232{col 67}{space 3} .1430065
{txt}c_infomn_b~l {c |}{col 14}{res}{space 2}-.0531986{col 26}{space 2} .0545961{col 37}{space 1}   -0.97{col 46}{space 3}0.330{col 54}{space 4}-.1605514{col 67}{space 3} .0541542
{txt}c_infomn_b~s {c |}{col 14}{res}{space 2} .1070221{col 26}{space 2} .0922609{col 37}{space 1}    1.16{col 46}{space 3}0.247{col 54}{space 4}-.0743915{col 67}{space 3} .2884356
{txt}c_infomn_b.. {c |}{col 14}{res}{space 2}-.0200072{col 26}{space 2} .0812004{col 37}{space 1}   -0.25{col 46}{space 3}0.806{col 54}{space 4}-.1796724{col 67}{space 3} .1396579
{txt}c_infomn_e~r {c |}{col 14}{res}{space 2}-.0088574{col 26}{space 2} .0058557{col 37}{space 1}   -1.51{col 46}{space 3}0.131{col 54}{space 4}-.0203716{col 67}{space 3} .0026568
{txt}c_infomn_b.. {c |}{col 14}{res}{space 2} .0383814{col 26}{space 2} .0228777{col 37}{space 1}    1.68{col 46}{space 3}0.094{col 54}{space 4}-.0066033{col 67}{space 3} .0833662
{txt}c_intomn_hc2 {c |}{col 14}{res}{space 2}-.0414577{col 26}{space 2} .0456731{col 37}{space 1}   -0.91{col 46}{space 3}0.365{col 54}{space 4}-.1312652{col 67}{space 3} .0483498
{txt}c_intomn_b~l {c |}{col 14}{res}{space 2} -.025678{col 26}{space 2} .0501319{col 37}{space 1}   -0.51{col 46}{space 3}0.609{col 54}{space 4}-.1242529{col 67}{space 3} .0728969
{txt}c_intomn_b~s {c |}{col 14}{res}{space 2} .0760322{col 26}{space 2} .0505794{col 37}{space 1}    1.50{col 46}{space 3}0.134{col 54}{space 4}-.0234226{col 67}{space 3} .1754871
{txt}c_intomn_b.. {c |}{col 14}{res}{space 2}-.0040299{col 26}{space 2} .0863255{col 37}{space 1}   -0.05{col 46}{space 3}0.963{col 54}{space 4}-.1737727{col 67}{space 3} .1657129
{txt}c_intomn_e~r {c |}{col 14}{res}{space 2}-.0051069{col 26}{space 2} .0056213{col 37}{space 1}   -0.91{col 46}{space 3}0.364{col 54}{space 4}-.0161601{col 67}{space 3} .0059463
{txt}c_intomn_b.. {c |}{col 14}{res}{space 2} .0220759{col 26}{space 2} .0208673{col 37}{space 1}    1.06{col 46}{space 3}0.291{col 54}{space 4}-.0189557{col 67}{space 3} .0631075
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} .0133917{col 26}{space 2} .0235387{col 37}{space 1}    0.57{col 46}{space 3}0.570{col 54}{space 4}-.0328928{col 67}{space 3} .0596761
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}infomn - intomn = 0{p_end}

{txt}       F(  1,   375) ={res}    0.43
{txt}{col 13}Prob > F ={res}    0.5101

{txt}added scalar:
             e(f_wald) =  {res}.51010325

{p 0 7}{space 1}{text:( 1)}{space 1}{space 1}{res}- fullomn + infomn = 0{p_end}

{txt}       F(  1,   375) ={res}    0.06
{txt}{col 13}Prob > F ={res}    0.8052

{txt}added scalar:
            e(f_wald1) =  {res}.80519166

{p 0 7}{space 1}{text:( 1)}{space 1}{space 1}{res}- fullomn + intomn = 0{p_end}

{txt}       F(  1,   375) ={res}    0.21
{txt}{col 13}Prob > F ={res}    0.6499

{txt}added scalar:
            e(f_wald2) =  {res}.64993476

{p 0 7}{space 1}{text:( 1)}{space 1} fullomn = 0{p_end}
{p 0 7}{space 1}{text:( 2)}{space 1} infomn = 0{p_end}
{p 0 7}{space 1}{text:( 3)}{space 1} intomn = 0{p_end}

{txt}       F(  3,   375) ={res}    4.84
{txt}{col 13}Prob > F ={res}    0.0026

{txt}added scalar:
                e(f_3) =  {res}4.8405314

{txt}added scalar:
            e(f_wald3) =  {res}.00256408

{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}    14,609
{txt}{col 49}F({res}  26{txt},{res}    375{txt}){col 67}= {res}      3.55
{txt}{col 49}Prob > F{col 67}= {res}    0.0000
{txt}{col 49}R-squared{col 67}= {res}    0.0189
{txt}{col 49}Adj R-squared{col 67}= {res}    0.0162
{txt}{col 49}Root MSE{col 67}= {res}    0.8968

{txt}{ralign 78:(Std. Err. adjusted for {res:376} clusters in hc_id)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}e_stafflis~z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 5}fullomn {c |}{col 14}{res}{space 2} .0746178{col 26}{space 2} .0321977{col 37}{space 1}    2.32{col 46}{space 3}0.021{col 54}{space 4} .0113072{col 67}{space 3} .1379284
{txt}{space 6}infomn {c |}{col 14}{res}{space 2} .0985676{col 26}{space 2}  .034066{col 37}{space 1}    2.89{col 46}{space 3}0.004{col 54}{space 4} .0315832{col 67}{space 3}  .165552
{txt}{space 6}intomn {c |}{col 14}{res}{space 2} .0601593{col 26}{space 2} .0312068{col 37}{space 1}    1.93{col 46}{space 3}0.055{col 54}{space 4} -.001203{col 67}{space 3} .1215215
{txt}b_stafflis~z {c |}{col 14}{res}{space 2} .0722594{col 26}{space 2}  .011206{col 37}{space 1}    6.45{col 46}{space 3}0.000{col 54}{space 4}  .050225{col 67}{space 3} .0942938
{txt}b_staffl~z_d {c |}{col 14}{res}{space 2}-.0292356{col 26}{space 2} .0195201{col 37}{space 1}   -1.50{col 46}{space 3}0.135{col 54}{space 4}-.0676181{col 67}{space 3} .0091469
{txt}c_full~n_hc2 {c |}{col 14}{res}{space 2} -.069982{col 26}{space 2} .0577006{col 37}{space 1}   -1.21{col 46}{space 3}0.226{col 54}{space 4}-.1834393{col 67}{space 3} .0434753
{txt}c_fullomn_.. {c |}{col 14}{res}{space 2}-.0975376{col 26}{space 2} .0612299{col 37}{space 1}   -1.59{col 46}{space 3}0.112{col 54}{space 4}-.2179345{col 67}{space 3} .0228593
{txt}c_fullomn_.. {c |}{col 14}{res}{space 2}-.0232161{col 26}{space 2} .0494122{col 37}{space 1}   -0.47{col 46}{space 3}0.639{col 54}{space 4}-.1203758{col 67}{space 3} .0739436
{txt}c_fullomn_.. {c |}{col 14}{res}{space 2}-.0885723{col 26}{space 2} .0725151{col 37}{space 1}   -1.22{col 46}{space 3}0.223{col 54}{space 4}-.2311594{col 67}{space 3} .0540149
{txt}c_f~n_educyr {c |}{col 14}{res}{space 2} .0061712{col 26}{space 2} .0056841{col 37}{space 1}    1.09{col 46}{space 3}0.278{col 54}{space 4}-.0050056{col 67}{space 3} .0173479
{txt}c_fullomn_.. {c |}{col 14}{res}{space 2}-.0332606{col 26}{space 2} .0216581{col 37}{space 1}   -1.54{col 46}{space 3}0.125{col 54}{space 4}-.0758472{col 67}{space 3} .0093259
{txt}c_b_visite~d {c |}{col 14}{res}{space 2} -.010451{col 26}{space 2} .0664434{col 37}{space 1}   -0.16{col 46}{space 3}0.875{col 54}{space 4}-.1410993{col 67}{space 3} .1201974
{txt}{space 4}c_educyr {c |}{col 14}{res}{space 2} .0012293{col 26}{space 2} .0044463{col 37}{space 1}    0.28{col 46}{space 3}0.782{col 54}{space 4}-.0075135{col 67}{space 3} .0099721
{txt}c_b_asseti~x {c |}{col 14}{res}{space 2} .0136701{col 26}{space 2} .0145048{col 37}{space 1}    0.94{col 46}{space 3}0.347{col 54}{space 4}-.0148508{col 67}{space 3} .0421909
{txt}c_infomn_hc2 {c |}{col 14}{res}{space 2} .0166157{col 26}{space 2}  .052618{col 37}{space 1}    0.32{col 46}{space 3}0.752{col 54}{space 4}-.0868476{col 67}{space 3}  .120079
{txt}c_infomn_b~l {c |}{col 14}{res}{space 2}-.0600059{col 26}{space 2} .0516705{col 37}{space 1}   -1.16{col 46}{space 3}0.246{col 54}{space 4}-.1616061{col 67}{space 3} .0415943
{txt}c_infomn_b~s {c |}{col 14}{res}{space 2}  .109384{col 26}{space 2} .0765732{col 37}{space 1}    1.43{col 46}{space 3}0.154{col 54}{space 4}-.0411827{col 67}{space 3} .2599507
{txt}c_infomn_b.. {c |}{col 14}{res}{space 2}-.0491466{col 26}{space 2}  .078046{col 37}{space 1}   -0.63{col 46}{space 3}0.529{col 54}{space 4}-.2026094{col 67}{space 3} .1043161
{txt}c_infomn_e~r {c |}{col 14}{res}{space 2}-.0033302{col 26}{space 2} .0056166{col 37}{space 1}   -0.59{col 46}{space 3}0.554{col 54}{space 4}-.0143742{col 67}{space 3} .0077138
{txt}c_infomn_b.. {c |}{col 14}{res}{space 2} .0134243{col 26}{space 2} .0202067{col 37}{space 1}    0.66{col 46}{space 3}0.507{col 54}{space 4}-.0263083{col 67}{space 3}  .053157
{txt}c_intomn_hc2 {c |}{col 14}{res}{space 2}-.0196631{col 26}{space 2} .0518458{col 37}{space 1}   -0.38{col 46}{space 3}0.705{col 54}{space 4}-.1216081{col 67}{space 3} .0822819
{txt}c_intomn_b~l {c |}{col 14}{res}{space 2}-.0032311{col 26}{space 2} .0532761{col 37}{space 1}   -0.06{col 46}{space 3}0.952{col 54}{space 4}-.1079885{col 67}{space 3} .1015263
{txt}c_intomn_b~s {c |}{col 14}{res}{space 2} .0794933{col 26}{space 2} .0482659{col 37}{space 1}    1.65{col 46}{space 3}0.100{col 54}{space 4}-.0154125{col 67}{space 3}  .174399
{txt}c_intomn_b.. {c |}{col 14}{res}{space 2}-.0097071{col 26}{space 2} .0883697{col 37}{space 1}   -0.11{col 46}{space 3}0.913{col 54}{space 4}-.1834694{col 67}{space 3} .1640553
{txt}c_intomn_e~r {c |}{col 14}{res}{space 2}-.0012207{col 26}{space 2} .0059854{col 37}{space 1}   -0.20{col 46}{space 3}0.839{col 54}{space 4}-.0129899{col 67}{space 3} .0105485
{txt}c_intomn_b.. {c |}{col 14}{res}{space 2} .0105207{col 26}{space 2} .0210961{col 37}{space 1}    0.50{col 46}{space 3}0.618{col 54}{space 4}-.0309607{col 67}{space 3} .0520022
{txt}{space 7}_cons {c |}{col 14}{res}{space 2}  .009507{col 26}{space 2} .0257572{col 37}{space 1}    0.37{col 46}{space 3}0.712{col 54}{space 4}-.0411396{col 67}{space 3} .0601536
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}infomn - intomn = 0{p_end}

{txt}       F(  1,   375) ={res}    1.63
{txt}{col 13}Prob > F ={res}    0.2028

{txt}added scalar:
             e(f_wald) =  {res}.2027531

{p 0 7}{space 1}{text:( 1)}{space 1}{space 1}{res}- fullomn + infomn = 0{p_end}

{txt}       F(  1,   375) ={res}    0.60
{txt}{col 13}Prob > F ={res}    0.4404

{txt}added scalar:
            e(f_wald1) =  {res}.44044562

{p 0 7}{space 1}{text:( 1)}{space 1}{space 1}{res}- fullomn + intomn = 0{p_end}

{txt}       F(  1,   375) ={res}    0.26
{txt}{col 13}Prob > F ={res}    0.6085

{txt}added scalar:
            e(f_wald2) =  {res}.60845438

{p 0 7}{space 1}{text:( 1)}{space 1} fullomn = 0{p_end}
{p 0 7}{space 1}{text:( 2)}{space 1} infomn = 0{p_end}
{p 0 7}{space 1}{text:( 3)}{space 1} intomn = 0{p_end}

{txt}       F(  3,   375) ={res}    3.02
{txt}{col 13}Prob > F ={res}    0.0297

{txt}added scalar:
                e(f_3) =  {res}3.0221022

{txt}added scalar:
            e(f_wald3) =  {res}.02968768

{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}    14,609
{txt}{col 49}F({res}  26{txt},{res}    375{txt}){col 67}= {res}      3.12
{txt}{col 49}Prob > F{col 67}= {res}    0.0000
{txt}{col 49}R-squared{col 67}= {res}    0.0145
{txt}{col 49}Adj R-squared{col 67}= {res}    0.0117
{txt}{col 49}Root MSE{col 67}= {res}    0.9486

{txt}{ralign 78:(Std. Err. adjusted for {res:376} clusters in hc_id)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}e_freeexpr~z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 5}fullomn {c |}{col 14}{res}{space 2} .0379937{col 26}{space 2} .0407078{col 37}{space 1}    0.93{col 46}{space 3}0.351{col 54}{space 4}-.0420505{col 67}{space 3} .1180379
{txt}{space 6}infomn {c |}{col 14}{res}{space 2} .0684642{col 26}{space 2}  .040067{col 37}{space 1}    1.71{col 46}{space 3}0.088{col 54}{space 4}  -.01032{col 67}{space 3} .1472484
{txt}{space 6}intomn {c |}{col 14}{res}{space 2} .0835869{col 26}{space 2} .0373816{col 37}{space 1}    2.24{col 46}{space 3}0.026{col 54}{space 4} .0100832{col 67}{space 3} .1570906
{txt}b_freeexpr~z {c |}{col 14}{res}{space 2} .0553846{col 26}{space 2} .0101324{col 37}{space 1}    5.47{col 46}{space 3}0.000{col 54}{space 4} .0354611{col 67}{space 3} .0753081
{txt}b_freeex~z_d {c |}{col 14}{res}{space 2}-.0434917{col 26}{space 2}  .020662{col 37}{space 1}   -2.10{col 46}{space 3}0.036{col 54}{space 4}-.0841195{col 67}{space 3}-.0028639
{txt}c_full~n_hc2 {c |}{col 14}{res}{space 2}-.1187791{col 26}{space 2} .0637779{col 37}{space 1}   -1.86{col 46}{space 3}0.063{col 54}{space 4}-.2441863{col 67}{space 3}  .006628
{txt}c_fullomn_.. {c |}{col 14}{res}{space 2}-.1341888{col 26}{space 2} .0744576{col 37}{space 1}   -1.80{col 46}{space 3}0.072{col 54}{space 4}-.2805954{col 67}{space 3} .0122178
{txt}c_fullomn_.. {c |}{col 14}{res}{space 2}-.0067001{col 26}{space 2} .1016337{col 37}{space 1}   -0.07{col 46}{space 3}0.947{col 54}{space 4}-.2065434{col 67}{space 3} .1931432
{txt}c_fullomn_.. {c |}{col 14}{res}{space 2} .0119499{col 26}{space 2} .0794238{col 37}{space 1}    0.15{col 46}{space 3}0.880{col 54}{space 4}-.1442218{col 67}{space 3} .1681217
{txt}c_f~n_educyr {c |}{col 14}{res}{space 2} .0099961{col 26}{space 2} .0053565{col 37}{space 1}    1.87{col 46}{space 3}0.063{col 54}{space 4}-.0005365{col 67}{space 3} .0205286
{txt}c_fullomn_.. {c |}{col 14}{res}{space 2}-.0306251{col 26}{space 2} .0265141{col 37}{space 1}   -1.16{col 46}{space 3}0.249{col 54}{space 4}  -.08276{col 67}{space 3} .0215098
{txt}c_b_visite~d {c |}{col 14}{res}{space 2}-.0516697{col 26}{space 2} .0670409{col 37}{space 1}   -0.77{col 46}{space 3}0.441{col 54}{space 4}-.1834929{col 67}{space 3} .0801536
{txt}{space 4}c_educyr {c |}{col 14}{res}{space 2} .0014502{col 26}{space 2} .0039271{col 37}{space 1}    0.37{col 46}{space 3}0.712{col 54}{space 4}-.0062716{col 67}{space 3} .0091721
{txt}c_b_asseti~x {c |}{col 14}{res}{space 2}-.0006291{col 26}{space 2} .0175801{col 37}{space 1}   -0.04{col 46}{space 3}0.971{col 54}{space 4} -.035197{col 67}{space 3} .0339388
{txt}c_infomn_hc2 {c |}{col 14}{res}{space 2} .0882864{col 26}{space 2} .0572014{col 37}{space 1}    1.54{col 46}{space 3}0.124{col 54}{space 4}-.0241894{col 67}{space 3} .2007621
{txt}c_infomn_b~l {c |}{col 14}{res}{space 2}-.0167744{col 26}{space 2} .0592593{col 37}{space 1}   -0.28{col 46}{space 3}0.777{col 54}{space 4}-.1332966{col 67}{space 3} .0997478
{txt}c_infomn_b~s {c |}{col 14}{res}{space 2} .1015735{col 26}{space 2} .0976651{col 37}{space 1}    1.04{col 46}{space 3}0.299{col 54}{space 4}-.0904665{col 67}{space 3} .2936134
{txt}c_infomn_b.. {c |}{col 14}{res}{space 2} .0913146{col 26}{space 2} .0927375{col 37}{space 1}    0.98{col 46}{space 3}0.325{col 54}{space 4}-.0910361{col 67}{space 3} .2736652
{txt}c_infomn_e~r {c |}{col 14}{res}{space 2}-.0024518{col 26}{space 2} .0052782{col 37}{space 1}   -0.46{col 46}{space 3}0.643{col 54}{space 4}-.0128304{col 67}{space 3} .0079269
{txt}c_infomn_b.. {c |}{col 14}{res}{space 2} .0351259{col 26}{space 2} .0244785{col 37}{space 1}    1.43{col 46}{space 3}0.152{col 54}{space 4}-.0130064{col 67}{space 3} .0832582
{txt}c_intomn_hc2 {c |}{col 14}{res}{space 2} .0253723{col 26}{space 2} .0543776{col 37}{space 1}    0.47{col 46}{space 3}0.641{col 54}{space 4}-.0815509{col 67}{space 3} .1322956
{txt}c_intomn_b~l {c |}{col 14}{res}{space 2}-.0136493{col 26}{space 2} .0582188{col 37}{space 1}   -0.23{col 46}{space 3}0.815{col 54}{space 4}-.1281254{col 67}{space 3} .1008269
{txt}c_intomn_b~s {c |}{col 14}{res}{space 2} .0845847{col 26}{space 2} .0623057{col 37}{space 1}    1.36{col 46}{space 3}0.175{col 54}{space 4}-.0379276{col 67}{space 3}  .207097
{txt}c_intomn_b.. {c |}{col 14}{res}{space 2} .0091145{col 26}{space 2} .0874137{col 37}{space 1}    0.10{col 46}{space 3}0.917{col 54}{space 4}-.1627679{col 67}{space 3} .1809969
{txt}c_intomn_e~r {c |}{col 14}{res}{space 2}-.0016649{col 26}{space 2} .0058473{col 37}{space 1}   -0.28{col 46}{space 3}0.776{col 54}{space 4}-.0131625{col 67}{space 3} .0098327
{txt}c_intomn_b.. {c |}{col 14}{res}{space 2} .0523494{col 26}{space 2} .0242906{col 37}{space 1}    2.16{col 46}{space 3}0.032{col 54}{space 4} .0045865{col 67}{space 3} .1001122
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} .0148802{col 26}{space 2} .0296873{col 37}{space 1}    0.50{col 46}{space 3}0.617{col 54}{space 4}-.0434942{col 67}{space 3} .0732547
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}infomn - intomn = 0{p_end}

{txt}       F(  1,   375) ={res}    0.19
{txt}{col 13}Prob > F ={res}    0.6591

{txt}added scalar:
             e(f_wald) =  {res}.65914802

{p 0 7}{space 1}{text:( 1)}{space 1}{space 1}{res}- fullomn + infomn = 0{p_end}

{txt}       F(  1,   375) ={res}    0.65
{txt}{col 13}Prob > F ={res}    0.4200

{txt}added scalar:
            e(f_wald1) =  {res}.42003248

{p 0 7}{space 1}{text:( 1)}{space 1}{space 1}{res}- fullomn + intomn = 0{p_end}

{txt}       F(  1,   375) ={res}    1.77
{txt}{col 13}Prob > F ={res}    0.1839

{txt}added scalar:
            e(f_wald2) =  {res}.18387251

{p 0 7}{space 1}{text:( 1)}{space 1} fullomn = 0{p_end}
{p 0 7}{space 1}{text:( 2)}{space 1} infomn = 0{p_end}
{p 0 7}{space 1}{text:( 3)}{space 1} intomn = 0{p_end}

{txt}       F(  3,   375) ={res}    1.91
{txt}{col 13}Prob > F ={res}    0.1276

{txt}added scalar:
                e(f_3) =  {res}1.909133

{txt}added scalar:
            e(f_wald3) =  {res}.12761405

{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}    14,609
{txt}{col 49}F({res}  26{txt},{res}    375{txt}){col 67}= {res}      4.69
{txt}{col 49}Prob > F{col 67}= {res}    0.0000
{txt}{col 49}R-squared{col 67}= {res}    0.0552
{txt}{col 49}Adj R-squared{col 67}= {res}    0.0525
{txt}{col 49}Root MSE{col 67}= {res}    0.9805

{txt}{ralign 78:(Std. Err. adjusted for {res:376} clusters in hc_id)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}e_yearb_av~z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 5}fullomn {c |}{col 14}{res}{space 2} .0828177{col 26}{space 2} .0417836{col 37}{space 1}    1.98{col 46}{space 3}0.048{col 54}{space 4} .0006582{col 67}{space 3} .1649771
{txt}{space 6}infomn {c |}{col 14}{res}{space 2} .0134689{col 26}{space 2} .0442595{col 37}{space 1}    0.30{col 46}{space 3}0.761{col 54}{space 4} -.073559{col 67}{space 3} .1004968
{txt}{space 6}intomn {c |}{col 14}{res}{space 2} .0193655{col 26}{space 2} .0443582{col 37}{space 1}    0.44{col 46}{space 3}0.663{col 54}{space 4}-.0678564{col 67}{space 3} .1065874
{txt}b_yearb_av~z {c |}{col 14}{res}{space 2} .0543325{col 26}{space 2} .0091102{col 37}{space 1}    5.96{col 46}{space 3}0.000{col 54}{space 4}  .036419{col 67}{space 3} .0722459
{txt}b_yearb_~z_d {c |}{col 14}{res}{space 2} .0229183{col 26}{space 2} .0230831{col 37}{space 1}    0.99{col 46}{space 3}0.321{col 54}{space 4}-.0224702{col 67}{space 3} .0683069
{txt}c_full~n_hc2 {c |}{col 14}{res}{space 2}-.2699523{col 26}{space 2} .0569954{col 37}{space 1}   -4.74{col 46}{space 3}0.000{col 54}{space 4} -.382023{col 67}{space 3}-.1578815
{txt}c_fullomn_.. {c |}{col 14}{res}{space 2} -.046088{col 26}{space 2} .0615818{col 37}{space 1}   -0.75{col 46}{space 3}0.455{col 54}{space 4}-.1671769{col 67}{space 3} .0750009
{txt}c_fullomn_.. {c |}{col 14}{res}{space 2} .0145433{col 26}{space 2} .0720924{col 37}{space 1}    0.20{col 46}{space 3}0.840{col 54}{space 4}-.1272127{col 67}{space 3} .1562994
{txt}c_fullomn_.. {c |}{col 14}{res}{space 2} .0835618{col 26}{space 2} .0823696{col 37}{space 1}    1.01{col 46}{space 3}0.311{col 54}{space 4}-.0784024{col 67}{space 3} .2455261
{txt}c_f~n_educyr {c |}{col 14}{res}{space 2}-.0087793{col 26}{space 2} .0058981{col 37}{space 1}   -1.49{col 46}{space 3}0.137{col 54}{space 4}-.0203767{col 67}{space 3} .0028182
{txt}c_fullomn_.. {c |}{col 14}{res}{space 2}-.0448655{col 26}{space 2} .0284164{col 37}{space 1}   -1.58{col 46}{space 3}0.115{col 54}{space 4}-.1007411{col 67}{space 3}   .01101
{txt}c_b_visite~d {c |}{col 14}{res}{space 2}-.0181968{col 26}{space 2} .0591599{col 37}{space 1}   -0.31{col 46}{space 3}0.759{col 54}{space 4}-.1345235{col 67}{space 3}   .09813
{txt}{space 4}c_educyr {c |}{col 14}{res}{space 2} .0082268{col 26}{space 2} .0045146{col 37}{space 1}    1.82{col 46}{space 3}0.069{col 54}{space 4}-.0006503{col 67}{space 3} .0171039
{txt}c_b_asseti~x {c |}{col 14}{res}{space 2} .0376502{col 26}{space 2} .0207378{col 37}{space 1}    1.82{col 46}{space 3}0.070{col 54}{space 4}-.0031267{col 67}{space 3} .0784271
{txt}c_infomn_hc2 {c |}{col 14}{res}{space 2}-.0746273{col 26}{space 2} .0774364{col 37}{space 1}   -0.96{col 46}{space 3}0.336{col 54}{space 4}-.2268912{col 67}{space 3} .0776366
{txt}c_infomn_b~l {c |}{col 14}{res}{space 2} .0108123{col 26}{space 2} .0806216{col 37}{space 1}    0.13{col 46}{space 3}0.893{col 54}{space 4}-.1477147{col 67}{space 3} .1693394
{txt}c_infomn_b~s {c |}{col 14}{res}{space 2} .0956547{col 26}{space 2} .0845557{col 37}{space 1}    1.13{col 46}{space 3}0.259{col 54}{space 4}-.0706081{col 67}{space 3} .2619174
{txt}c_infomn_b.. {c |}{col 14}{res}{space 2} .1369537{col 26}{space 2} .0774759{col 37}{space 1}    1.77{col 46}{space 3}0.078{col 54}{space 4}-.0153878{col 67}{space 3} .2892953
{txt}c_infomn_e~r {c |}{col 14}{res}{space 2}-.0160654{col 26}{space 2} .0063029{col 37}{space 1}   -2.55{col 46}{space 3}0.011{col 54}{space 4}-.0284588{col 67}{space 3}-.0036719
{txt}c_infomn_b.. {c |}{col 14}{res}{space 2}-.0207192{col 26}{space 2} .0297691{col 37}{space 1}   -0.70{col 46}{space 3}0.487{col 54}{space 4}-.0792544{col 67}{space 3}  .037816
{txt}c_intomn_hc2 {c |}{col 14}{res}{space 2}-.2178251{col 26}{space 2} .0821013{col 37}{space 1}   -2.65{col 46}{space 3}0.008{col 54}{space 4}-.3792617{col 67}{space 3}-.0563886
{txt}c_intomn_b~l {c |}{col 14}{res}{space 2}  .013886{col 26}{space 2} .0881768{col 37}{space 1}    0.16{col 46}{space 3}0.875{col 54}{space 4}-.1594968{col 67}{space 3} .1872689
{txt}c_intomn_b~s {c |}{col 14}{res}{space 2} .0603285{col 26}{space 2} .0887677{col 37}{space 1}    0.68{col 46}{space 3}0.497{col 54}{space 4}-.1142163{col 67}{space 3} .2348734
{txt}c_intomn_b.. {c |}{col 14}{res}{space 2} .0456063{col 26}{space 2} .0854483{col 37}{space 1}    0.53{col 46}{space 3}0.594{col 54}{space 4}-.1224116{col 67}{space 3} .2136241
{txt}c_intomn_e~r {c |}{col 14}{res}{space 2}-.0008973{col 26}{space 2} .0062253{col 37}{space 1}   -0.14{col 46}{space 3}0.885{col 54}{space 4}-.0131381{col 67}{space 3} .0113435
{txt}c_intomn_b.. {c |}{col 14}{res}{space 2}-.0079819{col 26}{space 2} .0308646{col 37}{space 1}   -0.26{col 46}{space 3}0.796{col 54}{space 4}-.0686713{col 67}{space 3} .0527076
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} -.021872{col 26}{space 2} .0334524{col 37}{space 1}   -0.65{col 46}{space 3}0.514{col 54}{space 4}-.0876497{col 67}{space 3} .0439058
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}infomn - intomn = 0{p_end}

{txt}       F(  1,   375) ={res}    0.02
{txt}{col 13}Prob > F ={res}    0.8888

{txt}added scalar:
             e(f_wald) =  {res}.88875472

{p 0 7}{space 1}{text:( 1)}{space 1}{space 1}{res}- fullomn + infomn = 0{p_end}

{txt}       F(  1,   375) ={res}    3.15
{txt}{col 13}Prob > F ={res}    0.0767

{txt}added scalar:
            e(f_wald1) =  {res}.07667724

{p 0 7}{space 1}{text:( 1)}{space 1}{space 1}{res}- fullomn + intomn = 0{p_end}

{txt}       F(  1,   375) ={res}    2.59
{txt}{col 13}Prob > F ={res}    0.1084

{txt}added scalar:
            e(f_wald2) =  {res}.10839212

{p 0 7}{space 1}{text:( 1)}{space 1} fullomn = 0{p_end}
{p 0 7}{space 1}{text:( 2)}{space 1} infomn = 0{p_end}
{p 0 7}{space 1}{text:( 3)}{space 1} intomn = 0{p_end}

{txt}       F(  3,   375) ={res}    1.80
{txt}{col 13}Prob > F ={res}    0.1464

{txt}added scalar:
                e(f_3) =  {res}1.8014488

{txt}added scalar:
            e(f_wald3) =  {res}.14644062
{txt}
{com}.                 
.         * No baseline outcome
.         
.         local y = 8
{txt}
{com}.         foreach x in `patsat_nobaseline' {c -(}
{txt}  2{com}.                 areg e_`x' fullomn infomn intomn `fullomn_int_e_controls' `e_controls' `infomn_int_e_controls' `intomn_int_e_controls', robust cl(hc_id) a(district)
{txt}  3{com}.                 
.                 test infomn = intomn
{txt}  4{com}.                 estadd scalar f_wald = r(p)
{txt}  5{com}.                 
.                 test infomn = fullomn
{txt}  6{com}.                 estadd scalar f_wald1 = r(p)
{txt}  7{com}.                 
.                 test intomn = fullomn
{txt}  8{com}.                 estadd scalar f_wald2 = r(p)
{txt}  9{com}.                 
.                 test fullomn infomn intomn
{txt} 10{com}.                 estadd scalar f_3 = r(F)
{txt} 11{com}.                 estadd scalar f_wald3 = r(p)
{txt} 12{com}.                 
.                 estimates store m`y'
{txt} 13{com}.                 
.                 {c )-}

{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}    14,609
{txt}{col 49}F({res}  24{txt},{res}    375{txt}){col 67}= {res}      3.71
{txt}{col 49}Prob > F{col 67}= {res}    0.0000
{txt}{col 49}R-squared{col 67}= {res}    0.0678
{txt}{col 49}Adj R-squared{col 67}= {res}    0.0653
{txt}{col 49}Root MSE{col 67}= {res}    0.9742

{txt}{ralign 78:(Std. Err. adjusted for {res:376} clusters in hc_id)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}e_qualityh~z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 5}fullomn {c |}{col 14}{res}{space 2}  .096992{col 26}{space 2} .0369862{col 37}{space 1}    2.62{col 46}{space 3}0.009{col 54}{space 4} .0242656{col 67}{space 3} .1697184
{txt}{space 6}infomn {c |}{col 14}{res}{space 2}  .090973{col 26}{space 2} .0376345{col 37}{space 1}    2.42{col 46}{space 3}0.016{col 54}{space 4} .0169719{col 67}{space 3} .1649741
{txt}{space 6}intomn {c |}{col 14}{res}{space 2} .0581555{col 26}{space 2} .0352833{col 37}{space 1}    1.65{col 46}{space 3}0.100{col 54}{space 4}-.0112225{col 67}{space 3} .1275335
{txt}c_full~n_hc2 {c |}{col 14}{res}{space 2}-.1955907{col 26}{space 2}  .064233{col 37}{space 1}   -3.05{col 46}{space 3}0.002{col 54}{space 4}-.3218926{col 67}{space 3}-.0692888
{txt}c_fullomn_.. {c |}{col 14}{res}{space 2} .0312685{col 26}{space 2}  .067031{col 37}{space 1}    0.47{col 46}{space 3}0.641{col 54}{space 4}-.1005352{col 67}{space 3} .1630723
{txt}c_fullomn_.. {c |}{col 14}{res}{space 2}-.0572226{col 26}{space 2}  .077995{col 37}{space 1}   -0.73{col 46}{space 3}0.464{col 54}{space 4}-.2105849{col 67}{space 3} .0961397
{txt}c_fullomn_.. {c |}{col 14}{res}{space 2} -.065289{col 26}{space 2} .0953363{col 37}{space 1}   -0.68{col 46}{space 3}0.494{col 54}{space 4}-.2527496{col 67}{space 3} .1221717
{txt}c_f~n_educyr {c |}{col 14}{res}{space 2} -.006298{col 26}{space 2} .0059424{col 37}{space 1}   -1.06{col 46}{space 3}0.290{col 54}{space 4}-.0179826{col 67}{space 3} .0053865
{txt}c_fullomn_.. {c |}{col 14}{res}{space 2}-.0101916{col 26}{space 2} .0290753{col 37}{space 1}   -0.35{col 46}{space 3}0.726{col 54}{space 4}-.0673627{col 67}{space 3} .0469795
{txt}c_b_visite~d {c |}{col 14}{res}{space 2}  .081518{col 26}{space 2} .0644837{col 37}{space 1}    1.26{col 46}{space 3}0.207{col 54}{space 4}-.0452769{col 67}{space 3} .2083129
{txt}{space 4}c_educyr {c |}{col 14}{res}{space 2} .0008339{col 26}{space 2} .0041412{col 37}{space 1}    0.20{col 46}{space 3}0.841{col 54}{space 4}-.0073089{col 67}{space 3} .0089768
{txt}c_b_asseti~x {c |}{col 14}{res}{space 2} .0207746{col 26}{space 2} .0192816{col 37}{space 1}    1.08{col 46}{space 3}0.282{col 54}{space 4}-.0171391{col 67}{space 3} .0586882
{txt}c_infomn_hc2 {c |}{col 14}{res}{space 2}-.1871159{col 26}{space 2} .0671612{col 37}{space 1}   -2.79{col 46}{space 3}0.006{col 54}{space 4}-.3191757{col 67}{space 3}-.0550561
{txt}c_infomn_b~l {c |}{col 14}{res}{space 2} .0355714{col 26}{space 2} .0700805{col 37}{space 1}    0.51{col 46}{space 3}0.612{col 54}{space 4}-.1022285{col 67}{space 3} .1733714
{txt}c_infomn_b~s {c |}{col 14}{res}{space 2}  .031953{col 26}{space 2} .0834545{col 37}{space 1}    0.38{col 46}{space 3}0.702{col 54}{space 4}-.1321444{col 67}{space 3} .1960504
{txt}c_infomn_b.. {c |}{col 14}{res}{space 2}-.1282241{col 26}{space 2} .0951088{col 37}{space 1}   -1.35{col 46}{space 3}0.178{col 54}{space 4}-.3152375{col 67}{space 3} .0587892
{txt}c_infomn_e~r {c |}{col 14}{res}{space 2}-.0056273{col 26}{space 2} .0057882{col 37}{space 1}   -0.97{col 46}{space 3}0.332{col 54}{space 4}-.0170086{col 67}{space 3}  .005754
{txt}c_infomn_b.. {c |}{col 14}{res}{space 2}-.0395137{col 26}{space 2} .0270603{col 37}{space 1}   -1.46{col 46}{space 3}0.145{col 54}{space 4}-.0927226{col 67}{space 3} .0136951
{txt}c_intomn_hc2 {c |}{col 14}{res}{space 2} -.279375{col 26}{space 2}  .062362{col 37}{space 1}   -4.48{col 46}{space 3}0.000{col 54}{space 4}-.4019981{col 67}{space 3}-.1567519
{txt}c_intomn_b~l {c |}{col 14}{res}{space 2} .0576985{col 26}{space 2} .0630752{col 37}{space 1}    0.91{col 46}{space 3}0.361{col 54}{space 4}-.0663269{col 67}{space 3}  .181724
{txt}c_intomn_b~s {c |}{col 14}{res}{space 2} .0302191{col 26}{space 2} .0659548{col 37}{space 1}    0.46{col 46}{space 3}0.647{col 54}{space 4}-.0994686{col 67}{space 3} .1599068
{txt}c_intomn_b.. {c |}{col 14}{res}{space 2}-.0750243{col 26}{space 2} .0968567{col 37}{space 1}   -0.77{col 46}{space 3}0.439{col 54}{space 4}-.2654746{col 67}{space 3} .1154261
{txt}c_intomn_e~r {c |}{col 14}{res}{space 2}-.0000448{col 26}{space 2} .0056438{col 37}{space 1}   -0.01{col 46}{space 3}0.994{col 54}{space 4}-.0111422{col 67}{space 3} .0110526
{txt}c_intomn_b.. {c |}{col 14}{res}{space 2}-.0253296{col 26}{space 2} .0260027{col 37}{space 1}   -0.97{col 46}{space 3}0.331{col 54}{space 4}-.0764589{col 67}{space 3} .0257998
{txt}{space 7}_cons {c |}{col 14}{res}{space 2}-.0026129{col 26}{space 2} .0257174{col 37}{space 1}   -0.10{col 46}{space 3}0.919{col 54}{space 4}-.0531812{col 67}{space 3} .0479555
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}infomn - intomn = 0{p_end}

{txt}       F(  1,   375) ={res}    0.81
{txt}{col 13}Prob > F ={res}    0.3695

{txt}added scalar:
             e(f_wald) =  {res}.3695091

{p 0 7}{space 1}{text:( 1)}{space 1}{space 1}{res}- fullomn + infomn = 0{p_end}

{txt}       F(  1,   375) ={res}    0.02
{txt}{col 13}Prob > F ={res}    0.8751

{txt}added scalar:
            e(f_wald1) =  {res}.875105

{p 0 7}{space 1}{text:( 1)}{space 1}{space 1}{res}- fullomn + intomn = 0{p_end}

{txt}       F(  1,   375) ={res}    1.18
{txt}{col 13}Prob > F ={res}    0.2775

{txt}added scalar:
            e(f_wald2) =  {res}.27747571

{p 0 7}{space 1}{text:( 1)}{space 1} fullomn = 0{p_end}
{p 0 7}{space 1}{text:( 2)}{space 1} infomn = 0{p_end}
{p 0 7}{space 1}{text:( 3)}{space 1} intomn = 0{p_end}

{txt}       F(  3,   375) ={res}    2.89
{txt}{col 13}Prob > F ={res}    0.0355

{txt}added scalar:
                e(f_3) =  {res}2.8885758

{txt}added scalar:
            e(f_wald3) =  {res}.03545295
{txt}
{com}. 
.         # delimit;
{txt}delimiter now ;
{com}.                 esttab m1 m8 m2 m3 m4 m5 m6 m7
>         using "${c -(}tables{c )-}/TableI42.tex", b(%5.3f) se(%5.3f)
>                 title(Patient satisfaction outcomes -- All treatment arms)
>                 keep(fullomn infomn intomn _cons)
>                 varlabels (fullomn "Full treatment" infomn "Information and mobilization only" intomn "Interface only" _cons "Constant")
>                 starlevels(* .10 ** .05 *** .01)                
>                 mtitles("\textbf{c -(}\begin{c -(}tabular{c )-}[c]{c -(}@{c -(}{c )-}c@{c -(}{c )-}{c )-}Patient\\satisfaction\\index\end{c -(}tabular{c )-}{c )-}"
>                                 "\begin{c -(}tabular{c )-}[c]{c -(}@{c -(}{c )-}c@{c -(}{c )-}{c )-}Satisfied by\\HC quality\end{c -(}tabular{c )-}"
>                                 "\begin{c -(}tabular{c )-}[c]{c -(}@{c -(}{c )-}c@{c -(}{c )-}{c )-}Satisfied\\with quality\\of care\end{c -(}tabular{c )-}"
>                                 "\begin{c -(}tabular{c )-}[c]{c -(}@{c -(}{c )-}c@{c -(}{c )-}{c )-}Polite\\staff\end{c -(}tabular{c )-}"
>                                 "\begin{c -(}tabular{c )-}[c]{c -(}@{c -(}{c )-}c@{c -(}{c )-}{c )-}Staff\\interested\\in health\end{c -(}tabular{c )-}"
>                                 "\begin{c -(}tabular{c )-}[c]{c -(}@{c -(}{c )-}c@{c -(}{c )-}{c )-}Staff\\listening\end{c -(}tabular{c )-}"
>                                 "\begin{c -(}tabular{c )-}[c]{c -(}@{c -(}{c )-}c@{c -(}{c )-}{c )-}Free to\\express\\clearly\end{c -(}tabular{c )-}"
>                                 "\begin{c -(}tabular{c )-}[c]{c -(}@{c -(}{c )-}c@{c -(}{c )-}{c )-} Availability\\of staff\\improving\end{c -(}tabular{c )-}")
>                 stats(N r2 f_wald f_wald1 f_wald2 hline f_3 f_wald3, labels("N" "R$^{c -(}2{c )-}$" "P-value (Information and mobilization = Interface)" "P-value (Information and mobilization = Full treatment)" "P-value (Interface = Full treatment)" "\hline" "F-test (joint significance of all 3 treatment groups)" "P-value (joint significance of all 3 treatment groups)") fmt(%9.0fc %9.3fc)) label booktabs nonotes replace
>         
>         ;
{res}{txt}(output written to {browse  `"/Users/fredericcochinard/Dropbox/ACT_Health_JOP_replication_file/3.Tables and Figures/Tables/TableI42.tex"'})

{com}.                 # delimit cr
{txt}delimiter now cr
{com}.         
.         **********************************************************************
.         * Table I43: Health outcomes at the child level – All treatment arms *
.         **********************************************************************
.         
.         use "${c -(}usedata{c )-}/healthoutcome_endline_ind.dta", clear
{txt}
{com}. 
.         * We work on the coefficient plot and tables for the health outcome indice
.         
.         * We regress the main outcomes
.         
.         areg e_healthoutcome_z fullomn infomn intomn b_healthoutcome_z b_healthoutcome_z_d  `controls'  `fullomn_int_controls' `infomn_int_controls' `intomn_int_controls', robust cl(hc_id) a(district)

{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}    10,023
{txt}{col 49}F({res}  29{txt},{res}    375{txt}){col 67}= {res}     45.15
{txt}{col 49}Prob > F{col 67}= {res}    0.0000
{txt}{col 49}R-squared{col 67}= {res}    0.1032
{txt}{col 49}Adj R-squared{col 67}= {res}    0.0993
{txt}{col 49}Root MSE{col 67}= {res}    0.8987

{txt}{ralign 78:(Std. Err. adjusted for {res:376} clusters in hc_id)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}e_healthou~z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 5}fullomn {c |}{col 14}{res}{space 2}-.0031507{col 26}{space 2} .0275738{col 37}{space 1}   -0.11{col 46}{space 3}0.909{col 54}{space 4}-.0573694{col 67}{space 3}  .051068
{txt}{space 6}infomn {c |}{col 14}{res}{space 2}-.0228509{col 26}{space 2}  .029242{col 37}{space 1}   -0.78{col 46}{space 3}0.435{col 54}{space 4}-.0803497{col 67}{space 3} .0346479
{txt}{space 6}intomn {c |}{col 14}{res}{space 2} -.010682{col 26}{space 2} .0275243{col 37}{space 1}   -0.39{col 46}{space 3}0.698{col 54}{space 4}-.0648033{col 67}{space 3} .0434393
{txt}b_healthou~z {c |}{col 14}{res}{space 2}  .112174{col 26}{space 2} .0106248{col 37}{space 1}   10.56{col 46}{space 3}0.000{col 54}{space 4} .0912824{col 67}{space 3} .1330656
{txt}b_healthou~d {c |}{col 14}{res}{space 2} .6469913{col 26}{space 2} .0188629{col 37}{space 1}   34.30{col 46}{space 3}0.000{col 54}{space 4}  .609901{col 67}{space 3} .6840816
{txt}{space 9}hc2 {c |}{col 14}{res}{space 2} .0379522{col 26}{space 2} .0496749{col 37}{space 1}    0.76{col 46}{space 3}0.445{col 54}{space 4}-.0597242{col 67}{space 3} .1356285
{txt}{space 5}b_h_del {c |}{col 14}{res}{space 2}-.0038638{col 26}{space 2} .0621885{col 37}{space 1}   -0.06{col 46}{space 3}0.950{col 54}{space 4}-.1261457{col 67}{space 3}  .118418
{txt}b_h_staff_~s {c |}{col 14}{res}{space 2} .0015708{col 26}{space 2} .0646109{col 37}{space 1}    0.02{col 46}{space 3}0.981{col 54}{space 4}-.1254743{col 67}{space 3} .1286158
{txt}{space 1}b_visited_d {c |}{col 14}{res}{space 2} .0691144{col 26}{space 2} .0876701{col 37}{space 1}    0.79{col 46}{space 3}0.431{col 54}{space 4}-.1032723{col 67}{space 3} .2415011
{txt}{space 6}educyr {c |}{col 14}{res}{space 2} .0097398{col 26}{space 2} .0053529{col 37}{space 1}    1.82{col 46}{space 3}0.070{col 54}{space 4}-.0007856{col 67}{space 3} .0202653
{txt}b_assetindex {c |}{col 14}{res}{space 2} .0713352{col 26}{space 2} .0246538{col 37}{space 1}    2.89{col 46}{space 3}0.004{col 54}{space 4} .0228582{col 67}{space 3} .1198123
{txt}c_fullomn_~2 {c |}{col 14}{res}{space 2}-.0843758{col 26}{space 2} .0654777{col 37}{space 1}   -1.29{col 46}{space 3}0.198{col 54}{space 4}-.2131254{col 67}{space 3} .0443737
{txt}c_fullomn_~l {c |}{col 14}{res}{space 2}-.0697535{col 26}{space 2} .0755759{col 37}{space 1}   -0.92{col 46}{space 3}0.357{col 54}{space 4}-.2183592{col 67}{space 3} .0788522
{txt}c_fullomn_~s {c |}{col 14}{res}{space 2}-.0330547{col 26}{space 2}  .077501{col 37}{space 1}   -0.43{col 46}{space 3}0.670{col 54}{space 4}-.1854458{col 67}{space 3} .1193364
{txt}c_fullomn_~d {c |}{col 14}{res}{space 2}-.0935396{col 26}{space 2} .1081048{col 37}{space 1}   -0.87{col 46}{space 3}0.387{col 54}{space 4}-.3061073{col 67}{space 3}  .119028
{txt}c_fullomn_~r {c |}{col 14}{res}{space 2}-.0001817{col 26}{space 2} .0067331{col 37}{space 1}   -0.03{col 46}{space 3}0.978{col 54}{space 4} -.013421{col 67}{space 3} .0130576
{txt}c_fullomn_~x {c |}{col 14}{res}{space 2}-.0585063{col 26}{space 2} .0296269{col 37}{space 1}   -1.97{col 46}{space 3}0.049{col 54}{space 4} -.116762{col 67}{space 3}-.0002506
{txt}c_infomn_hc2 {c |}{col 14}{res}{space 2}-.0715614{col 26}{space 2} .0651551{col 37}{space 1}   -1.10{col 46}{space 3}0.273{col 54}{space 4}-.1996764{col 67}{space 3} .0565537
{txt}c_infomn_b~l {c |}{col 14}{res}{space 2}-.0021008{col 26}{space 2} .0730119{col 37}{space 1}   -0.03{col 46}{space 3}0.977{col 54}{space 4}-.1456647{col 67}{space 3} .1414632
{txt}c_infomn_b~s {c |}{col 14}{res}{space 2}-.0247122{col 26}{space 2} .0849856{col 37}{space 1}   -0.29{col 46}{space 3}0.771{col 54}{space 4}-.1918202{col 67}{space 3} .1423957
{txt}c_infomn_b~d {c |}{col 14}{res}{space 2}-.0707933{col 26}{space 2} .1128478{col 37}{space 1}   -0.63{col 46}{space 3}0.531{col 54}{space 4}-.2926872{col 67}{space 3} .1511005
{txt}c_infomn_e~r {c |}{col 14}{res}{space 2}-.0044882{col 26}{space 2} .0069549{col 37}{space 1}   -0.65{col 46}{space 3}0.519{col 54}{space 4}-.0181637{col 67}{space 3} .0091873
{txt}c_infomn_b~x {c |}{col 14}{res}{space 2}-.0382308{col 26}{space 2} .0335954{col 37}{space 1}   -1.14{col 46}{space 3}0.256{col 54}{space 4}-.1042898{col 67}{space 3} .0278282
{txt}c_intomn_hc2 {c |}{col 14}{res}{space 2} .0077645{col 26}{space 2}  .065379{col 37}{space 1}    0.12{col 46}{space 3}0.906{col 54}{space 4}-.1207909{col 67}{space 3} .1363199
{txt}c_intomn_b~l {c |}{col 14}{res}{space 2}-.0070166{col 26}{space 2} .0777803{col 37}{space 1}   -0.09{col 46}{space 3}0.928{col 54}{space 4}-.1599568{col 67}{space 3} .1459236
{txt}c_intomn_b~s {c |}{col 14}{res}{space 2}  .091461{col 26}{space 2} .0800311{col 37}{space 1}    1.14{col 46}{space 3}0.254{col 54}{space 4}-.0659051{col 67}{space 3}  .248827
{txt}c_intomn_b~d {c |}{col 14}{res}{space 2}-.1751435{col 26}{space 2} .1245884{col 37}{space 1}   -1.41{col 46}{space 3}0.161{col 54}{space 4}-.4201229{col 67}{space 3} .0698358
{txt}c_intomn_e~r {c |}{col 14}{res}{space 2} .0033032{col 26}{space 2} .0074425{col 37}{space 1}    0.44{col 46}{space 3}0.657{col 54}{space 4} -.011331{col 67}{space 3} .0179374
{txt}c_intomn_b~x {c |}{col 14}{res}{space 2}-.0381895{col 26}{space 2} .0316857{col 37}{space 1}   -1.21{col 46}{space 3}0.229{col 54}{space 4}-.1004934{col 67}{space 3} .0241143
{txt}{space 7}_cons {c |}{col 14}{res}{space 2}-.6455405{col 26}{space 2}  .107766{col 37}{space 1}   -5.99{col 46}{space 3}0.000{col 54}{space 4}-.8574419{col 67}{space 3}-.4336392
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{com}.                 
.                 test infomn = intomn

{p 0 7}{space 1}{text:( 1)}{space 1} {res}infomn - intomn = 0{p_end}

{txt}       F(  1,   375) ={res}    0.20
{txt}{col 13}Prob > F ={res}    0.6534
{txt}
{com}.                 estadd scalar f_wald = r(p)

{txt}added scalar:
             e(f_wald) =  {res}.65343671
{txt}
{com}.                 
.                 test infomn = fullomn

{p 0 7}{space 1}{text:( 1)}{space 1}{space 1}{res}- fullomn + infomn = 0{p_end}

{txt}       F(  1,   375) ={res}    0.52
{txt}{col 13}Prob > F ={res}    0.4720
{txt}
{com}.                 estadd scalar f_wald1 = r(p)

{txt}added scalar:
            e(f_wald1) =  {res}.47198425
{txt}
{com}.                 
.                 test intomn = fullomn

{p 0 7}{space 1}{text:( 1)}{space 1}{space 1}{res}- fullomn + intomn = 0{p_end}

{txt}       F(  1,   375) ={res}    0.09
{txt}{col 13}Prob > F ={res}    0.7674
{txt}
{com}.                 estadd scalar f_wald2 = r(p)

{txt}added scalar:
            e(f_wald2) =  {res}.76735528
{txt}
{com}.                 
.                 test fullomn infomn intomn

{p 0 7}{space 1}{text:( 1)}{space 1} {res}fullomn = 0{p_end}
{p 0 7}{space 1}{text:( 2)}{space 1} infomn = 0{p_end}
{p 0 7}{space 1}{text:( 3)}{space 1} intomn = 0{p_end}

{txt}       F(  3,   375) ={res}    0.25
{txt}{col 13}Prob > F ={res}    0.8605
{txt}
{com}.                 estadd scalar f_3 = r(F)

{txt}added scalar:
                e(f_3) =  {res}.25112118
{txt}
{com}.                 estadd scalar f_wald3 = r(p)

{txt}added scalar:
            e(f_wald3) =  {res}.86052762
{txt}
{com}.                 
.                 estimates store m1
{txt}
{com}.                 
.         * We take care of the rest of the cohort
.         
.         local z = 1
{txt}
{com}.                 foreach y in _weight18_z  _muac18_z {c -(}
{txt}  2{com}.                         
.                         local z = `z' + 1
{txt}  3{com}.                         
.                         areg  e`y' fullomn infomn intomn b`y' b`y'_d  `controls'  `fullomn_ho1_controls' `infomn_ho1_controls' `intomn_ho1_controls', robust cl(hc_id) a(district) 
{txt}  4{com}.                         
.                         test infomn = intomn
{txt}  5{com}.                         estadd scalar f_wald = r(p)
{txt}  6{com}.                 
.                         test infomn = fullomn
{txt}  7{com}.                         estadd scalar f_wald1 = r(p)
{txt}  8{com}.                 
.                         test intomn = fullomn
{txt}  9{com}.                         estadd scalar f_wald2 = r(p)
{txt} 10{com}.                         
.                         test fullomn infomn intomn
{txt} 11{com}.                         estadd scalar f_3 = r(F)
{txt} 12{com}.                         estadd scalar f_wald3 = r(p)
{txt} 13{com}.                         
.                         estimates store m`z'
{txt} 14{com}.                         
.                         {c )-}
{txt}note: b_weight18_z_d omitted because of collinearity
{res}
{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}     4,379
{txt}{col 49}F({res}  28{txt},{res}    375{txt}){col 67}= {res}      1.19
{txt}{col 49}Prob > F{col 67}= {res}    0.2325
{txt}{col 49}R-squared{col 67}= {res}    0.0115
{txt}{col 49}Adj R-squared{col 67}= {res}    0.0017
{txt}{col 49}Root MSE{col 67}= {res}    0.9572

{txt}{ralign 78:(Std. Err. adjusted for {res:376} clusters in hc_id)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}e_weight18_z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 5}fullomn {c |}{col 14}{res}{space 2}-.0006936{col 26}{space 2} .0483713{col 37}{space 1}   -0.01{col 46}{space 3}0.989{col 54}{space 4}-.0958066{col 67}{space 3} .0944195
{txt}{space 6}infomn {c |}{col 14}{res}{space 2}  -.03583{col 26}{space 2} .0481715{col 37}{space 1}   -0.74{col 46}{space 3}0.457{col 54}{space 4}-.1305502{col 67}{space 3} .0588902
{txt}{space 6}intomn {c |}{col 14}{res}{space 2}-.0189514{col 26}{space 2} .0463428{col 37}{space 1}   -0.41{col 46}{space 3}0.683{col 54}{space 4}-.1100757{col 67}{space 3}  .072173
{txt}b_weight18_z {c |}{col 14}{res}{space 2}-.0122755{col 26}{space 2} .0176582{col 37}{space 1}   -0.70{col 46}{space 3}0.487{col 54}{space 4} -.046997{col 67}{space 3}  .022446
{txt}b_weig~8_z_d {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 9}hc2 {c |}{col 14}{res}{space 2} .0414316{col 26}{space 2} .0875789{col 37}{space 1}    0.47{col 46}{space 3}0.636{col 54}{space 4}-.1307757{col 67}{space 3} .2136389
{txt}{space 5}b_h_del {c |}{col 14}{res}{space 2}-.0675621{col 26}{space 2} .1012838{col 37}{space 1}   -0.67{col 46}{space 3}0.505{col 54}{space 4}-.2667174{col 67}{space 3} .1315932
{txt}b_h_staff_~s {c |}{col 14}{res}{space 2} .3161474{col 26}{space 2} .1107373{col 37}{space 1}    2.85{col 46}{space 3}0.005{col 54}{space 4} .0984036{col 67}{space 3} .5338913
{txt}{space 1}b_visited_d {c |}{col 14}{res}{space 2} .0549804{col 26}{space 2} .0963379{col 37}{space 1}    0.57{col 46}{space 3}0.569{col 54}{space 4}-.1344499{col 67}{space 3} .2444106
{txt}{space 6}educyr {c |}{col 14}{res}{space 2}  .002092{col 26}{space 2} .0082451{col 37}{space 1}    0.25{col 46}{space 3}0.800{col 54}{space 4}-.0141206{col 67}{space 3} .0183045
{txt}b_assetindex {c |}{col 14}{res}{space 2} .0416541{col 26}{space 2} .0386841{col 37}{space 1}    1.08{col 46}{space 3}0.282{col 54}{space 4}-.0344109{col 67}{space 3} .1177191
{txt}c_ful~o1_hc2 {c |}{col 14}{res}{space 2}-.1329285{col 26}{space 2}  .114096{col 37}{space 1}   -1.17{col 46}{space 3}0.245{col 54}{space 4}-.3572767{col 67}{space 3} .0914196
{txt}c_fullomnh.. {c |}{col 14}{res}{space 2}-.0178223{col 26}{space 2} .1205529{col 37}{space 1}   -0.15{col 46}{space 3}0.883{col 54}{space 4}-.2548666{col 67}{space 3} .2192221
{txt}c_fullomnh.. {c |}{col 14}{res}{space 2}-.4278705{col 26}{space 2} .1398965{col 37}{space 1}   -3.06{col 46}{space 3}0.002{col 54}{space 4}-.7029504{col 67}{space 3}-.1527907
{txt}c_fullomnh.. {c |}{col 14}{res}{space 2}-.1215597{col 26}{space 2} .1501608{col 37}{space 1}   -0.81{col 46}{space 3}0.419{col 54}{space 4}-.4168224{col 67}{space 3} .1737029
{txt}c_fullomnh.. {c |}{col 14}{res}{space 2} .0134469{col 26}{space 2} .0106073{col 37}{space 1}    1.27{col 46}{space 3}0.206{col 54}{space 4}-.0074103{col 67}{space 3} .0343041
{txt}c_fullomnh.. {c |}{col 14}{res}{space 2}-.0514278{col 26}{space 2} .0473265{col 37}{space 1}   -1.09{col 46}{space 3}0.278{col 54}{space 4}-.1444863{col 67}{space 3} .0416307
{txt}~fomnho1_hc2 {c |}{col 14}{res}{space 2}-.1554826{col 26}{space 2} .1052599{col 37}{space 1}   -1.48{col 46}{space 3}0.140{col 54}{space 4}-.3624561{col 67}{space 3}  .051491
{txt}c_infomnho.. {c |}{col 14}{res}{space 2}-.0177946{col 26}{space 2} .1198323{col 37}{space 1}   -0.15{col 46}{space 3}0.882{col 54}{space 4} -.253422{col 67}{space 3} .2178329
{txt}c_infomnho.. {c |}{col 14}{res}{space 2}-.2211929{col 26}{space 2} .1446609{col 37}{space 1}   -1.53{col 46}{space 3}0.127{col 54}{space 4} -.505641{col 67}{space 3} .0632553
{txt}c_infomnho.. {c |}{col 14}{res}{space 2}-.2141242{col 26}{space 2} .1560725{col 37}{space 1}   -1.37{col 46}{space 3}0.171{col 54}{space 4}-.5210111{col 67}{space 3} .0927627
{txt}c_infomnho.. {c |}{col 14}{res}{space 2}-.0029393{col 26}{space 2} .0109383{col 37}{space 1}   -0.27{col 46}{space 3}0.788{col 54}{space 4}-.0244474{col 67}{space 3} .0185688
{txt}c_infomnho.. {c |}{col 14}{res}{space 2}-.0636231{col 26}{space 2} .0534635{col 37}{space 1}   -1.19{col 46}{space 3}0.235{col 54}{space 4}-.1687489{col 67}{space 3} .0415028
{txt}c_int~o1_hc2 {c |}{col 14}{res}{space 2} .0088394{col 26}{space 2} .1063918{col 37}{space 1}    0.08{col 46}{space 3}0.934{col 54}{space 4}-.2003599{col 67}{space 3} .2180387
{txt}c_intomnho.. {c |}{col 14}{res}{space 2} .0437719{col 26}{space 2} .1228298{col 37}{space 1}    0.36{col 46}{space 3}0.722{col 54}{space 4}-.1977496{col 67}{space 3} .2852935
{txt}c_intomnho.. {c |}{col 14}{res}{space 2}-.1987549{col 26}{space 2} .1321244{col 37}{space 1}   -1.50{col 46}{space 3}0.133{col 54}{space 4}-.4585525{col 67}{space 3} .0610427
{txt}c_intomnho.. {c |}{col 14}{res}{space 2}-.2332552{col 26}{space 2} .1682406{col 37}{space 1}   -1.39{col 46}{space 3}0.166{col 54}{space 4}-.5640684{col 67}{space 3} .0975581
{txt}c_intomnho.. {c |}{col 14}{res}{space 2} .0147502{col 26}{space 2} .0116568{col 37}{space 1}    1.27{col 46}{space 3}0.207{col 54}{space 4}-.0081707{col 67}{space 3} .0376711
{txt}c_intomnho.. {c |}{col 14}{res}{space 2}-.0339506{col 26}{space 2} .0535365{col 37}{space 1}   -0.63{col 46}{space 3}0.526{col 54}{space 4}-.1392201{col 67}{space 3} .0713188
{txt}{space 7}_cons {c |}{col 14}{res}{space 2}-.2981672{col 26}{space 2} .1704241{col 37}{space 1}   -1.75{col 46}{space 3}0.081{col 54}{space 4}-.6332738{col 67}{space 3} .0369395
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}infomn - intomn = 0{p_end}

{txt}       F(  1,   375) ={res}    0.19
{txt}{col 13}Prob > F ={res}    0.6613

{txt}added scalar:
             e(f_wald) =  {res}.66131327

{p 0 7}{space 1}{text:( 1)}{space 1}{space 1}{res}- fullomn + infomn = 0{p_end}

{txt}       F(  1,   375) ={res}    0.69
{txt}{col 13}Prob > F ={res}    0.4082

{txt}added scalar:
            e(f_wald1) =  {res}.40823794

{p 0 7}{space 1}{text:( 1)}{space 1}{space 1}{res}- fullomn + intomn = 0{p_end}

{txt}       F(  1,   375) ={res}    0.21
{txt}{col 13}Prob > F ={res}    0.6506

{txt}added scalar:
            e(f_wald2) =  {res}.65055809

{p 0 7}{space 1}{text:( 1)}{space 1} fullomn = 0{p_end}
{p 0 7}{space 1}{text:( 2)}{space 1} infomn = 0{p_end}
{p 0 7}{space 1}{text:( 3)}{space 1} intomn = 0{p_end}

{txt}       F(  3,   375) ={res}    0.29
{txt}{col 13}Prob > F ={res}    0.8307

{txt}added scalar:
                e(f_3) =  {res}.29270582

{txt}added scalar:
            e(f_wald3) =  {res}.83067102
{txt}note: b_muac18_z_d omitted because of collinearity
{res}
{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}     4,379
{txt}{col 49}F({res}  28{txt},{res}    375{txt}){col 67}= {res}      1.30
{txt}{col 49}Prob > F{col 67}= {res}    0.1478
{txt}{col 49}R-squared{col 67}= {res}    0.0117
{txt}{col 49}Adj R-squared{col 67}= {res}    0.0019
{txt}{col 49}Root MSE{col 67}= {res}    0.9525

{txt}{ralign 78:(Std. Err. adjusted for {res:376} clusters in hc_id)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}  e_muac18_z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 5}fullomn {c |}{col 14}{res}{space 2}-.0133611{col 26}{space 2} .0475609{col 37}{space 1}   -0.28{col 46}{space 3}0.779{col 54}{space 4}-.1068807{col 67}{space 3} .0801584
{txt}{space 6}infomn {c |}{col 14}{res}{space 2}-.0264274{col 26}{space 2}  .047586{col 37}{space 1}   -0.56{col 46}{space 3}0.579{col 54}{space 4}-.1199963{col 67}{space 3} .0671414
{txt}{space 6}intomn {c |}{col 14}{res}{space 2}-.0231811{col 26}{space 2}  .046271{col 37}{space 1}   -0.50{col 46}{space 3}0.617{col 54}{space 4}-.1141643{col 67}{space 3}  .067802
{txt}{space 2}b_muac18_z {c |}{col 14}{res}{space 2} -.020452{col 26}{space 2} .0158344{col 37}{space 1}   -1.29{col 46}{space 3}0.197{col 54}{space 4}-.0515874{col 67}{space 3} .0106834
{txt}b_muac18_z_d {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 9}hc2 {c |}{col 14}{res}{space 2} .0578935{col 26}{space 2} .0909276{col 37}{space 1}    0.64{col 46}{space 3}0.525{col 54}{space 4}-.1208983{col 67}{space 3} .2366854
{txt}{space 5}b_h_del {c |}{col 14}{res}{space 2}-.0517848{col 26}{space 2} .1014741{col 37}{space 1}   -0.51{col 46}{space 3}0.610{col 54}{space 4}-.2513145{col 67}{space 3} .1477448
{txt}b_h_staff_~s {c |}{col 14}{res}{space 2} .3350508{col 26}{space 2} .1079059{col 37}{space 1}    3.11{col 46}{space 3}0.002{col 54}{space 4} .1228743{col 67}{space 3} .5472273
{txt}{space 1}b_visited_d {c |}{col 14}{res}{space 2} .0739056{col 26}{space 2} .0984632{col 37}{space 1}    0.75{col 46}{space 3}0.453{col 54}{space 4}-.1197036{col 67}{space 3} .2675149
{txt}{space 6}educyr {c |}{col 14}{res}{space 2}-.0019062{col 26}{space 2} .0083057{col 37}{space 1}   -0.23{col 46}{space 3}0.819{col 54}{space 4}-.0182378{col 67}{space 3} .0144254
{txt}b_assetindex {c |}{col 14}{res}{space 2} .0405096{col 26}{space 2} .0395706{col 37}{space 1}    1.02{col 46}{space 3}0.307{col 54}{space 4}-.0372984{col 67}{space 3} .1183177
{txt}c_ful~o1_hc2 {c |}{col 14}{res}{space 2}-.1408193{col 26}{space 2} .1144562{col 37}{space 1}   -1.23{col 46}{space 3}0.219{col 54}{space 4}-.3658757{col 67}{space 3} .0842371
{txt}c_fullomnh.. {c |}{col 14}{res}{space 2}-.0318868{col 26}{space 2} .1189658{col 37}{space 1}   -0.27{col 46}{space 3}0.789{col 54}{space 4}-.2658105{col 67}{space 3} .2020368
{txt}c_fullomnh.. {c |}{col 14}{res}{space 2}-.4501896{col 26}{space 2} .1345752{col 37}{space 1}   -3.35{col 46}{space 3}0.001{col 54}{space 4}-.7148062{col 67}{space 3} -.185573
{txt}c_fullomnh.. {c |}{col 14}{res}{space 2}-.1456463{col 26}{space 2} .1507558{col 37}{space 1}   -0.97{col 46}{space 3}0.335{col 54}{space 4}-.4420789{col 67}{space 3} .1507863
{txt}c_fullomnh.. {c |}{col 14}{res}{space 2} .0167507{col 26}{space 2} .0104471{col 37}{space 1}    1.60{col 46}{space 3}0.110{col 54}{space 4}-.0037916{col 67}{space 3}  .037293
{txt}c_fullomnh.. {c |}{col 14}{res}{space 2}-.0575451{col 26}{space 2} .0485323{col 37}{space 1}   -1.19{col 46}{space 3}0.236{col 54}{space 4}-.1529746{col 67}{space 3} .0378844
{txt}~fomnho1_hc2 {c |}{col 14}{res}{space 2}-.1804878{col 26}{space 2} .1089127{col 37}{space 1}   -1.66{col 46}{space 3}0.098{col 54}{space 4} -.394644{col 67}{space 3} .0336683
{txt}c_infomnho.. {c |}{col 14}{res}{space 2}-.0426345{col 26}{space 2}  .120534{col 37}{space 1}   -0.35{col 46}{space 3}0.724{col 54}{space 4}-.2796418{col 67}{space 3} .1943728
{txt}c_infomnho.. {c |}{col 14}{res}{space 2}-.2593614{col 26}{space 2} .1421465{col 37}{space 1}   -1.82{col 46}{space 3}0.069{col 54}{space 4}-.5388656{col 67}{space 3} .0201427
{txt}c_infomnho.. {c |}{col 14}{res}{space 2}-.2011595{col 26}{space 2} .1531824{col 37}{space 1}   -1.31{col 46}{space 3}0.190{col 54}{space 4}-.5023636{col 67}{space 3} .1000445
{txt}c_infomnho.. {c |}{col 14}{res}{space 2}-.0006974{col 26}{space 2} .0107384{col 37}{space 1}   -0.06{col 46}{space 3}0.948{col 54}{space 4}-.0218125{col 67}{space 3} .0204177
{txt}c_infomnho.. {c |}{col 14}{res}{space 2}-.0562304{col 26}{space 2}  .055648{col 37}{space 1}   -1.01{col 46}{space 3}0.313{col 54}{space 4}-.1656517{col 67}{space 3} .0531909
{txt}c_int~o1_hc2 {c |}{col 14}{res}{space 2}-.0246301{col 26}{space 2} .1082866{col 37}{space 1}   -0.23{col 46}{space 3}0.820{col 54}{space 4} -.237555{col 67}{space 3} .1882949
{txt}c_intomnho.. {c |}{col 14}{res}{space 2}-.0015695{col 26}{space 2} .1228737{col 37}{space 1}   -0.01{col 46}{space 3}0.990{col 54}{space 4}-.2431774{col 67}{space 3} .2400384
{txt}c_intomnho.. {c |}{col 14}{res}{space 2}-.1921903{col 26}{space 2} .1303991{col 37}{space 1}   -1.47{col 46}{space 3}0.141{col 54}{space 4}-.4485955{col 67}{space 3} .0642148
{txt}c_intomnho.. {c |}{col 14}{res}{space 2}-.2718324{col 26}{space 2} .1793112{col 37}{space 1}   -1.52{col 46}{space 3}0.130{col 54}{space 4}-.6244138{col 67}{space 3}  .080749
{txt}c_intomnho.. {c |}{col 14}{res}{space 2} .0194158{col 26}{space 2} .0118512{col 37}{space 1}    1.64{col 46}{space 3}0.102{col 54}{space 4}-.0038874{col 67}{space 3}  .042719
{txt}c_intomnho.. {c |}{col 14}{res}{space 2}-.0448769{col 26}{space 2}  .054355{col 37}{space 1}   -0.83{col 46}{space 3}0.410{col 54}{space 4}-.1517558{col 67}{space 3} .0620019
{txt}{space 7}_cons {c |}{col 14}{res}{space 2}-.3205016{col 26}{space 2} .1715173{col 37}{space 1}   -1.87{col 46}{space 3}0.062{col 54}{space 4}-.6577577{col 67}{space 3} .0167545
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}infomn - intomn = 0{p_end}

{txt}       F(  1,   375) ={res}    0.01
{txt}{col 13}Prob > F ={res}    0.9330

{txt}added scalar:
             e(f_wald) =  {res}.93301889

{p 0 7}{space 1}{text:( 1)}{space 1}{space 1}{res}- fullomn + infomn = 0{p_end}

{txt}       F(  1,   375) ={res}    0.10
{txt}{col 13}Prob > F ={res}    0.7531

{txt}added scalar:
            e(f_wald1) =  {res}.75308375

{p 0 7}{space 1}{text:( 1)}{space 1}{space 1}{res}- fullomn + intomn = 0{p_end}

{txt}       F(  1,   375) ={res}    0.06
{txt}{col 13}Prob > F ={res}    0.8051

{txt}added scalar:
            e(f_wald2) =  {res}.80508181

{p 0 7}{space 1}{text:( 1)}{space 1} fullomn = 0{p_end}
{p 0 7}{space 1}{text:( 2)}{space 1} infomn = 0{p_end}
{p 0 7}{space 1}{text:( 3)}{space 1} intomn = 0{p_end}

{txt}       F(  3,   375) ={res}    0.12
{txt}{col 13}Prob > F ={res}    0.9470

{txt}added scalar:
                e(f_3) =  {res}.12224134

{txt}added scalar:
            e(f_wald3) =  {res}.94696526
{txt}
{com}.                 
.         local z = 3
{txt}
{com}.                 foreach y in _weight36_z  _muac36_z {c -(}
{txt}  2{com}.                         
.                         local z = `z' + 1
{txt}  3{com}.                         
.                         areg  e`y' fullomn infomn intomn b`y' b`y'_d  `controls'  `fullomn_ho2_controls' `infomn_ho2_controls' `intomn_ho2_controls', robust cl(hc_id) a(district) 
{txt}  4{com}.                         
.                         test infomn = intomn
{txt}  5{com}.                         estadd scalar f_wald = r(p)
{txt}  6{com}.                 
.                         test infomn = fullomn
{txt}  7{com}.                         estadd scalar f_wald1 = r(p)
{txt}  8{com}.                 
.                         test intomn = fullomn
{txt}  9{com}.                         estadd scalar f_wald2 = r(p)
{txt} 10{com}.                         
.                         test fullomn infomn intomn
{txt} 11{com}.                         estadd scalar f_3 = r(F)
{txt} 12{com}.                         estadd scalar f_wald3 = r(p)
{txt} 13{com}.                         
.                         estimates store m`z'
{txt} 14{com}.                         
.                         {c )-}

{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}     5,644
{txt}{col 49}F({res}  29{txt},{res}    375{txt}){col 67}= {res}     49.65
{txt}{col 49}Prob > F{col 67}= {res}    0.0000
{txt}{col 49}R-squared{col 67}= {res}    0.2074
{txt}{col 49}Adj R-squared{col 67}= {res}    0.2012
{txt}{col 49}Root MSE{col 67}= {res}    0.8815

{txt}{ralign 78:(Std. Err. adjusted for {res:376} clusters in hc_id)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}e_weight36_z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 5}fullomn {c |}{col 14}{res}{space 2} .0025727{col 26}{space 2} .0324914{col 37}{space 1}    0.08{col 46}{space 3}0.937{col 54}{space 4}-.0613156{col 67}{space 3}  .066461
{txt}{space 6}infomn {c |}{col 14}{res}{space 2}-.0111674{col 26}{space 2} .0350348{col 37}{space 1}   -0.32{col 46}{space 3}0.750{col 54}{space 4}-.0800567{col 67}{space 3}  .057722
{txt}{space 6}intomn {c |}{col 14}{res}{space 2} .0141981{col 26}{space 2} .0364339{col 37}{space 1}    0.39{col 46}{space 3}0.697{col 54}{space 4}-.0574423{col 67}{space 3} .0858385
{txt}b_weight36_z {c |}{col 14}{res}{space 2} .2427139{col 26}{space 2} .0115711{col 37}{space 1}   20.98{col 46}{space 3}0.000{col 54}{space 4} .2199615{col 67}{space 3} .2654664
{txt}b_weig~6_z_d {c |}{col 14}{res}{space 2} .8091561{col 26}{space 2} .0250697{col 37}{space 1}   32.28{col 46}{space 3}0.000{col 54}{space 4} .7598613{col 67}{space 3} .8584509
{txt}{space 9}hc2 {c |}{col 14}{res}{space 2} .0604671{col 26}{space 2} .0586738{col 37}{space 1}    1.03{col 46}{space 3}0.303{col 54}{space 4}-.0549038{col 67}{space 3}  .175838
{txt}{space 5}b_h_del {c |}{col 14}{res}{space 2} .0899993{col 26}{space 2} .0645937{col 37}{space 1}    1.39{col 46}{space 3}0.164{col 54}{space 4}-.0370121{col 67}{space 3} .2170106
{txt}b_h_staff_~s {c |}{col 14}{res}{space 2}-.2957594{col 26}{space 2} .0753302{col 37}{space 1}   -3.93{col 46}{space 3}0.000{col 54}{space 4} -.443882{col 67}{space 3}-.1476369
{txt}{space 1}b_visited_d {c |}{col 14}{res}{space 2} .1697396{col 26}{space 2} .1168871{col 37}{space 1}    1.45{col 46}{space 3}0.147{col 54}{space 4}-.0600967{col 67}{space 3} .3995759
{txt}{space 6}educyr {c |}{col 14}{res}{space 2} .0204724{col 26}{space 2} .0072975{col 37}{space 1}    2.81{col 46}{space 3}0.005{col 54}{space 4} .0061234{col 67}{space 3} .0348215
{txt}b_assetindex {c |}{col 14}{res}{space 2} .0937789{col 26}{space 2} .0256717{col 37}{space 1}    3.65{col 46}{space 3}0.000{col 54}{space 4} .0433003{col 67}{space 3} .1442575
{txt}c_ful~o2_hc2 {c |}{col 14}{res}{space 2}-.1050216{col 26}{space 2} .0715043{col 37}{space 1}   -1.47{col 46}{space 3}0.143{col 54}{space 4}-.2456213{col 67}{space 3}  .035578
{txt}c_fullomnh.. {c |}{col 14}{res}{space 2}-.1036784{col 26}{space 2} .0831527{col 37}{space 1}   -1.25{col 46}{space 3}0.213{col 54}{space 4}-.2671824{col 67}{space 3} .0598256
{txt}c_fullomnh.. {c |}{col 14}{res}{space 2} .3422664{col 26}{space 2} .1045411{col 37}{space 1}    3.27{col 46}{space 3}0.001{col 54}{space 4} .1367062{col 67}{space 3} .5478266
{txt}c_fullomnh.. {c |}{col 14}{res}{space 2}-.1098553{col 26}{space 2} .1619432{col 37}{space 1}   -0.68{col 46}{space 3}0.498{col 54}{space 4}-.4282858{col 67}{space 3} .2085753
{txt}c_fullomnh.. {c |}{col 14}{res}{space 2}-.0117858{col 26}{space 2} .0099086{col 37}{space 1}   -1.19{col 46}{space 3}0.235{col 54}{space 4}-.0312693{col 67}{space 3} .0076976
{txt}c_fullomnh.. {c |}{col 14}{res}{space 2}-.0397612{col 26}{space 2} .0358448{col 37}{space 1}   -1.11{col 46}{space 3}0.268{col 54}{space 4}-.1102432{col 67}{space 3} .0307207
{txt}~fomnho2_hc2 {c |}{col 14}{res}{space 2}-.0002493{col 26}{space 2} .0803448{col 37}{space 1}   -0.00{col 46}{space 3}0.998{col 54}{space 4}-.1582321{col 67}{space 3} .1577336
{txt}c_infomnho.. {c |}{col 14}{res}{space 2} -.000385{col 26}{space 2} .0915971{col 37}{space 1}   -0.00{col 46}{space 3}0.997{col 54}{space 4}-.1804933{col 67}{space 3} .1797233
{txt}c_infomnho.. {c |}{col 14}{res}{space 2} .2335099{col 26}{space 2} .1072041{col 37}{space 1}    2.18{col 46}{space 3}0.030{col 54}{space 4} .0227133{col 67}{space 3} .4443065
{txt}c_infomnho.. {c |}{col 14}{res}{space 2} .0584069{col 26}{space 2} .1613132{col 37}{space 1}    0.36{col 46}{space 3}0.718{col 54}{space 4}-.2587849{col 67}{space 3} .3755988
{txt}c_infomnho.. {c |}{col 14}{res}{space 2}-.0087926{col 26}{space 2}  .009854{col 37}{space 1}   -0.89{col 46}{space 3}0.373{col 54}{space 4}-.0281687{col 67}{space 3} .0105834
{txt}c_infomnho.. {c |}{col 14}{res}{space 2} -.006204{col 26}{space 2} .0367229{col 37}{space 1}   -0.17{col 46}{space 3}0.866{col 54}{space 4}-.0784125{col 67}{space 3} .0660046
{txt}c_int~o2_hc2 {c |}{col 14}{res}{space 2}-.0212493{col 26}{space 2} .0892173{col 37}{space 1}   -0.24{col 46}{space 3}0.812{col 54}{space 4}-.1966782{col 67}{space 3} .1541795
{txt}c_intomnho.. {c |}{col 14}{res}{space 2}-.0683409{col 26}{space 2} .0938985{col 37}{space 1}   -0.73{col 46}{space 3}0.467{col 54}{space 4}-.2529745{col 67}{space 3} .1162928
{txt}c_intomnho.. {c |}{col 14}{res}{space 2} .3370123{col 26}{space 2} .0944399{col 37}{space 1}    3.57{col 46}{space 3}0.000{col 54}{space 4} .1513143{col 67}{space 3} .5227104
{txt}c_intomnho.. {c |}{col 14}{res}{space 2}-.0852619{col 26}{space 2} .1557946{col 37}{space 1}   -0.55{col 46}{space 3}0.585{col 54}{space 4}-.3916024{col 67}{space 3} .2210785
{txt}c_intomnho.. {c |}{col 14}{res}{space 2}-.0085011{col 26}{space 2} .0106846{col 37}{space 1}   -0.80{col 46}{space 3}0.427{col 54}{space 4}-.0295103{col 67}{space 3} .0125081
{txt}c_intomnho.. {c |}{col 14}{res}{space 2} .0041714{col 26}{space 2} .0352007{col 37}{space 1}    0.12{col 46}{space 3}0.906{col 54}{space 4} -.065044{col 67}{space 3} .0733869
{txt}{space 7}_cons {c |}{col 14}{res}{space 2}-.6253196{col 26}{space 2} .1580115{col 37}{space 1}   -3.96{col 46}{space 3}0.000{col 54}{space 4}-.9360193{col 67}{space 3}  -.31462
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}infomn - intomn = 0{p_end}

{txt}       F(  1,   375) ={res}    0.46
{txt}{col 13}Prob > F ={res}    0.4998

{txt}added scalar:
             e(f_wald) =  {res}.49975622

{p 0 7}{space 1}{text:( 1)}{space 1}{space 1}{res}- fullomn + infomn = 0{p_end}

{txt}       F(  1,   375) ={res}    0.16
{txt}{col 13}Prob > F ={res}    0.6871

{txt}added scalar:
            e(f_wald1) =  {res}.68711743

{p 0 7}{space 1}{text:( 1)}{space 1}{space 1}{res}- fullomn + intomn = 0{p_end}

{txt}       F(  1,   375) ={res}    0.11
{txt}{col 13}Prob > F ={res}    0.7386

{txt}added scalar:
            e(f_wald2) =  {res}.73860283

{p 0 7}{space 1}{text:( 1)}{space 1} fullomn = 0{p_end}
{p 0 7}{space 1}{text:( 2)}{space 1} infomn = 0{p_end}
{p 0 7}{space 1}{text:( 3)}{space 1} intomn = 0{p_end}

{txt}       F(  3,   375) ={res}    0.15
{txt}{col 13}Prob > F ={res}    0.9273

{txt}added scalar:
                e(f_3) =  {res}.15369095

{txt}added scalar:
            e(f_wald3) =  {res}.92728533

{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}     5,644
{txt}{col 49}F({res}  29{txt},{res}    375{txt}){col 67}= {res}    128.96
{txt}{col 49}Prob > F{col 67}= {res}    0.0000
{txt}{col 49}R-squared{col 67}= {res}    0.3283
{txt}{col 49}Adj R-squared{col 67}= {res}    0.3230
{txt}{col 49}Root MSE{col 67}= {res}    0.8215

{txt}{ralign 78:(Std. Err. adjusted for {res:376} clusters in hc_id)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}  e_muac36_z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 5}fullomn {c |}{col 14}{res}{space 2}  .019264{col 26}{space 2} .0284667{col 37}{space 1}    0.68{col 46}{space 3}0.499{col 54}{space 4}-.0367104{col 67}{space 3} .0752385
{txt}{space 6}infomn {c |}{col 14}{res}{space 2}-.0106675{col 26}{space 2} .0292008{col 37}{space 1}   -0.37{col 46}{space 3}0.715{col 54}{space 4}-.0680854{col 67}{space 3} .0467504
{txt}{space 6}intomn {c |}{col 14}{res}{space 2} .0255549{col 26}{space 2}  .031825{col 37}{space 1}    0.80{col 46}{space 3}0.422{col 54}{space 4}-.0370229{col 67}{space 3} .0881327
{txt}{space 2}b_muac36_z {c |}{col 14}{res}{space 2} .2664269{col 26}{space 2} .0074828{col 37}{space 1}   35.61{col 46}{space 3}0.000{col 54}{space 4} .2517133{col 67}{space 3} .2811405
{txt}b_muac36_z_d {c |}{col 14}{res}{space 2} 1.119021{col 26}{space 2} .0218397{col 37}{space 1}   51.24{col 46}{space 3}0.000{col 54}{space 4} 1.076078{col 67}{space 3} 1.161965
{txt}{space 9}hc2 {c |}{col 14}{res}{space 2} .0278008{col 26}{space 2} .0503007{col 37}{space 1}    0.55{col 46}{space 3}0.581{col 54}{space 4} -.071106{col 67}{space 3} .1267075
{txt}{space 5}b_h_del {c |}{col 14}{res}{space 2} .0695709{col 26}{space 2}  .056488{col 37}{space 1}    1.23{col 46}{space 3}0.219{col 54}{space 4}-.0415019{col 67}{space 3} .1806437
{txt}b_h_staff_~s {c |}{col 14}{res}{space 2}-.2515046{col 26}{space 2} .0639418{col 37}{space 1}   -3.93{col 46}{space 3}0.000{col 54}{space 4}-.3772341{col 67}{space 3}-.1257752
{txt}{space 1}b_visited_d {c |}{col 14}{res}{space 2} .1021383{col 26}{space 2} .1035509{col 37}{space 1}    0.99{col 46}{space 3}0.325{col 54}{space 4}-.1014748{col 67}{space 3} .3057514
{txt}{space 6}educyr {c |}{col 14}{res}{space 2} .0122961{col 26}{space 2} .0061428{col 37}{space 1}    2.00{col 46}{space 3}0.046{col 54}{space 4} .0002174{col 67}{space 3} .0243747
{txt}b_assetindex {c |}{col 14}{res}{space 2} .0615374{col 26}{space 2} .0252701{col 37}{space 1}    2.44{col 46}{space 3}0.015{col 54}{space 4} .0118485{col 67}{space 3} .1112263
{txt}c_ful~o2_hc2 {c |}{col 14}{res}{space 2}-.0143155{col 26}{space 2} .0644187{col 37}{space 1}   -0.22{col 46}{space 3}0.824{col 54}{space 4}-.1409827{col 67}{space 3} .1123517
{txt}c_fullomnh.. {c |}{col 14}{res}{space 2}-.0890448{col 26}{space 2} .0714473{col 37}{space 1}   -1.25{col 46}{space 3}0.213{col 54}{space 4}-.2295322{col 67}{space 3} .0514427
{txt}c_fullomnh.. {c |}{col 14}{res}{space 2} .2525896{col 26}{space 2} .0918893{col 37}{space 1}    2.75{col 46}{space 3}0.006{col 54}{space 4} .0719066{col 67}{space 3} .4332725
{txt}c_fullomnh.. {c |}{col 14}{res}{space 2}-.0482965{col 26}{space 2} .1459763{col 37}{space 1}   -0.33{col 46}{space 3}0.741{col 54}{space 4}-.3353312{col 67}{space 3} .2387382
{txt}c_fullomnh.. {c |}{col 14}{res}{space 2}-.0057571{col 26}{space 2} .0085151{col 37}{space 1}   -0.68{col 46}{space 3}0.499{col 54}{space 4}-.0225004{col 67}{space 3} .0109861
{txt}c_fullomnh.. {c |}{col 14}{res}{space 2}-.0588125{col 26}{space 2} .0337714{col 37}{space 1}   -1.74{col 46}{space 3}0.082{col 54}{space 4}-.1252175{col 67}{space 3} .0075926
{txt}~fomnho2_hc2 {c |}{col 14}{res}{space 2} .0067428{col 26}{space 2} .0686542{col 37}{space 1}    0.10{col 46}{space 3}0.922{col 54}{space 4}-.1282527{col 67}{space 3} .1417383
{txt}c_infomnho.. {c |}{col 14}{res}{space 2}-.0205582{col 26}{space 2} .0714259{col 37}{space 1}   -0.29{col 46}{space 3}0.774{col 54}{space 4}-.1610037{col 67}{space 3} .1198873
{txt}c_infomnho.. {c |}{col 14}{res}{space 2} .1298322{col 26}{space 2} .0913978{col 37}{space 1}    1.42{col 46}{space 3}0.156{col 54}{space 4}-.0498843{col 67}{space 3} .3095487
{txt}c_infomnho.. {c |}{col 14}{res}{space 2}  .115533{col 26}{space 2} .1497867{col 37}{space 1}    0.77{col 46}{space 3}0.441{col 54}{space 4}-.1789941{col 67}{space 3}   .41006
{txt}c_infomnho.. {c |}{col 14}{res}{space 2}-.0067566{col 26}{space 2} .0084323{col 37}{space 1}   -0.80{col 46}{space 3}0.423{col 54}{space 4} -.023337{col 67}{space 3} .0098239
{txt}c_infomnho.. {c |}{col 14}{res}{space 2} .0019608{col 26}{space 2} .0372703{col 37}{space 1}    0.05{col 46}{space 3}0.958{col 54}{space 4}-.0713242{col 67}{space 3} .0752459
{txt}c_int~o2_hc2 {c |}{col 14}{res}{space 2}   .04213{col 26}{space 2} .0741019{col 37}{space 1}    0.57{col 46}{space 3}0.570{col 54}{space 4}-.1035773{col 67}{space 3} .1878372
{txt}c_intomnho.. {c |}{col 14}{res}{space 2} -.066783{col 26}{space 2} .0812906{col 37}{space 1}   -0.82{col 46}{space 3}0.412{col 54}{space 4}-.2266255{col 67}{space 3} .0930595
{txt}c_intomnho.. {c |}{col 14}{res}{space 2} .3037981{col 26}{space 2} .0845037{col 37}{space 1}    3.60{col 46}{space 3}0.000{col 54}{space 4} .1376377{col 67}{space 3} .4699585
{txt}c_intomnho.. {c |}{col 14}{res}{space 2} -.093626{col 26}{space 2} .1601492{col 37}{space 1}   -0.58{col 46}{space 3}0.559{col 54}{space 4} -.408529{col 67}{space 3} .2212769
{txt}c_intomnho.. {c |}{col 14}{res}{space 2} -.001342{col 26}{space 2} .0088227{col 37}{space 1}   -0.15{col 46}{space 3}0.879{col 54}{space 4}-.0186902{col 67}{space 3} .0160062
{txt}c_intomnho.. {c |}{col 14}{res}{space 2}-.0120739{col 26}{space 2} .0332532{col 37}{space 1}   -0.36{col 46}{space 3}0.717{col 54}{space 4}-.0774601{col 67}{space 3} .0533122
{txt}{space 7}_cons {c |}{col 14}{res}{space 2}   -.6739{col 26}{space 2} .1287507{col 37}{space 1}   -5.23{col 46}{space 3}0.000{col 54}{space 4}-.9270639{col 67}{space 3}-.4207361
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}infomn - intomn = 0{p_end}

{txt}       F(  1,   375) ={res}    1.28
{txt}{col 13}Prob > F ={res}    0.2580

{txt}added scalar:
             e(f_wald) =  {res}.25797466

{p 0 7}{space 1}{text:( 1)}{space 1}{space 1}{res}- fullomn + infomn = 0{p_end}

{txt}       F(  1,   375) ={res}    1.06
{txt}{col 13}Prob > F ={res}    0.3035

{txt}added scalar:
            e(f_wald1) =  {res}.30346113

{p 0 7}{space 1}{text:( 1)}{space 1}{space 1}{res}- fullomn + intomn = 0{p_end}

{txt}       F(  1,   375) ={res}    0.04
{txt}{col 13}Prob > F ={res}    0.8402

{txt}added scalar:
            e(f_wald2) =  {res}.8401651

{p 0 7}{space 1}{text:( 1)}{space 1} fullomn = 0{p_end}
{p 0 7}{space 1}{text:( 2)}{space 1} infomn = 0{p_end}
{p 0 7}{space 1}{text:( 3)}{space 1} intomn = 0{p_end}

{txt}       F(  3,   375) ={res}    0.59
{txt}{col 13}Prob > F ={res}    0.6220

{txt}added scalar:
                e(f_3) =  {res}.58985888

{txt}added scalar:
            e(f_wald3) =  {res}.62197465
{txt}
{com}. 
.         * We outsheet the results
.         
.         # delimit;
{txt}delimiter now ;
{com}.                 esttab m1 m2 m3 m4 m5
>         using "${c -(}tables{c )-}/TableI43.tex", b(%5.3f) se(%5.3f)
>                 title(Health outcome at the child level -- All treatments)
>                 keep(fullomn infomn intomn _cons)
>                 varlabels (fullomn "Full treatment" infomn "Information only" intomn "Interface only" _cons "Constant")
>                 starlevels(* .10 ** .05 *** .01)                
>                 mtitles("\textbf{c -(}\begin{c -(}tabular{c )-}[c]{c -(}@{c -(}{c )-}c@{c -(}{c )-}{c )-}Health outcomes\\index\end{c -(}tabular{c )-}{c )-}"
>                                 "\textbf{c -(}\begin{c -(}tabular{c )-}[c]{c -(}@{c -(}{c )-}c@{c -(}{c )-}{c )-}Weight/Age\\0-18 months\end{c -(}tabular{c )-}{c )-}"
>                                 "\textbf{c -(}\begin{c -(}tabular{c )-}[c]{c -(}@{c -(}{c )-}c@{c -(}{c )-}{c )-}MUAC\\0-18 months\end{c -(}tabular{c )-}{c )-}"
>                                 "\textbf{c -(}\begin{c -(}tabular{c )-}[c]{c -(}@{c -(}{c )-}c@{c -(}{c )-}{c )-}Weight/Age\\18-36 months\end{c -(}tabular{c )-}{c )-}"
>                                 "\textbf{c -(}\begin{c -(}tabular{c )-}[c]{c -(}@{c -(}{c )-}c@{c -(}{c )-}{c )-}MUAC\\18-36 months\end{c -(}tabular{c )-}{c )-}")
>                 stats(N r2 f_wald f_wald1 f_wald2 hline f_3 f_wald3, labels("N" "R$^{c -(}2{c )-}$" "P-value (Information = Interface)" "P-value (Information = Full treatment)" "P-value (Interface = Full treatment)" "\hline" "F-test (joint significance of all 3 treatment groups)" "P-value (joint significance of all 3 treatment groups)") fmt(%9.0fc %9.3fc)) label booktabs nonotes replace
>         
>         ;
{res}{txt}(output written to {browse  `"/Users/fredericcochinard/Dropbox/ACT_Health_JOP_replication_file/3.Tables and Figures/Tables/TableI43.tex"'})

{com}.                 # delimit cr
{txt}delimiter now cr
{com}.         
.         *******************************************************************
.         * Table I44: Child mortality at the HC level – All treatment arms *
.         *******************************************************************
.         
.         * We work on the coefficient plot and tables for the health outcome indice
.         
.         use "${c -(}usedata{c )-}/chp_el_light_dataset.dta", clear
{txt}
{com}.         
.         * At endline:
.         
.         eststo clear
{txt}
{com}.         
.         local y = 1
{txt}
{com}.         foreach x in `childmortality' {c -(}
{txt}  2{com}.                 areg  e_`x' fullomn infomn intomn b_`x' `fullomn_hc_int_e_controls' `e_controls_hc' `infomn_hc_int_e_controls' `intomn_hc_int_e_controls' if uniquehc == 1 , robust a(district)
{txt}  3{com}.                 
.                 test infomn = intomn
{txt}  4{com}.                 estadd scalar f_wald = r(p)
{txt}  5{com}.                 
.                 test infomn = fullomn
{txt}  6{com}.                 estadd scalar f_wald1 = r(p)
{txt}  7{com}.                 
.                 test intomn = fullomn
{txt}  8{com}.                 estadd scalar f_wald2 = r(p)
{txt}  9{com}.                 
.                 test fullomn infomn intomn
{txt} 10{com}.                 estadd scalar f_3 = r(F)
{txt} 11{com}.                 estadd scalar f_wald3 = r(p)
{txt} 12{com}.                 
.                 estimates store m`y'
{txt} 13{com}.                 
.                 local y = `y' + 1
{txt} 14{com}.                 
.                 {c )-}
{res}
{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}       376
{txt}{col 49}F({res}  28{txt},{res}    332{txt}){col 67}= {res}      1.20
{txt}{col 49}Prob > F{col 67}= {res}    0.2277
{txt}{col 49}R-squared{col 67}= {res}    0.1511
{txt}{col 49}Adj R-squared{col 67}= {res}    0.0412
{txt}{col 49}Root MSE{col 67}= {res}    0.0540

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}e_mortrat~05{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 5}fullomn {c |}{col 14}{res}{space 2} -.011219{col 26}{space 2} .0077422{col 37}{space 1}   -1.45{col 46}{space 3}0.148{col 54}{space 4}-.0264489{col 67}{space 3} .0040109
{txt}{space 6}infomn {c |}{col 14}{res}{space 2}-.0196238{col 26}{space 2} .0076354{col 37}{space 1}   -2.57{col 46}{space 3}0.011{col 54}{space 4}-.0346436{col 67}{space 3}-.0046039
{txt}{space 6}intomn {c |}{col 14}{res}{space 2}-.0093798{col 26}{space 2} .0080467{col 37}{space 1}   -1.17{col 46}{space 3}0.245{col 54}{space 4}-.0252088{col 67}{space 3} .0064492
{txt}b_mortrat~05 {c |}{col 14}{res}{space 2} .0896006{col 26}{space 2}  .048151{col 37}{space 1}    1.86{col 46}{space 3}0.064{col 54}{space 4} -.005119{col 67}{space 3} .1843202
{txt}c_full~c_hc2 {c |}{col 14}{res}{space 2}-.0051874{col 26}{space 2} .0189331{col 37}{space 1}   -0.27{col 46}{space 3}0.784{col 54}{space 4}-.0424313{col 67}{space 3} .0320566
{txt}c_fullomn_.. {c |}{col 14}{res}{space 2}   .00011{col 26}{space 2} .0229962{col 37}{space 1}    0.00{col 46}{space 3}0.996{col 54}{space 4}-.0451266{col 67}{space 3} .0453466
{txt}c_fullomn_.. {c |}{col 14}{res}{space 2}-.0373356{col 26}{space 2} .0255271{col 37}{space 1}   -1.46{col 46}{space 3}0.145{col 54}{space 4}-.0875509{col 67}{space 3} .0128797
{txt}c_fullomn_.. {c |}{col 14}{res}{space 2}-.1673745{col 26}{space 2} .0879684{col 37}{space 1}   -1.90{col 46}{space 3}0.058{col 54}{space 4}-.3404202{col 67}{space 3} .0056713
{txt}c_f~c_educyr {c |}{col 14}{res}{space 2}-.0034826{col 26}{space 2} .0082785{col 37}{space 1}   -0.42{col 46}{space 3}0.674{col 54}{space 4}-.0197675{col 67}{space 3} .0128023
{txt}c_fullomn_.. {c |}{col 14}{res}{space 2}-.0177164{col 26}{space 2}  .027013{col 37}{space 1}   -0.66{col 46}{space 3}0.512{col 54}{space 4}-.0708546{col 67}{space 3} .0354218
{txt}{space 4}c_hc_hc2 {c |}{col 14}{res}{space 2} .0126535{col 26}{space 2} .0153834{col 37}{space 1}    0.82{col 46}{space 3}0.411{col 54}{space 4}-.0176078{col 67}{space 3} .0429147
{txt}c_hc_b_h_del {c |}{col 14}{res}{space 2} .0045195{col 26}{space 2} .0193414{col 37}{space 1}    0.23{col 46}{space 3}0.815{col 54}{space 4}-.0335277{col 67}{space 3} .0425667
{txt}c_hc_b_h_s~s {c |}{col 14}{res}{space 2} .0174713{col 26}{space 2} .0205738{col 37}{space 1}    0.85{col 46}{space 3}0.396{col 54}{space 4}-.0230002{col 67}{space 3} .0579428
{txt}c_hc_b_vis~d {c |}{col 14}{res}{space 2} .0389173{col 26}{space 2} .0508791{col 37}{space 1}    0.76{col 46}{space 3}0.445{col 54}{space 4}-.0611687{col 67}{space 3} .1390034
{txt}{space 1}c_hc_educyr {c |}{col 14}{res}{space 2}-.0078413{col 26}{space 2} .0065618{col 37}{space 1}   -1.19{col 46}{space 3}0.233{col 54}{space 4}-.0207492{col 67}{space 3} .0050667
{txt}c_hc_b_ass~x {c |}{col 14}{res}{space 2} .0192448{col 26}{space 2} .0190957{col 37}{space 1}    1.01{col 46}{space 3}0.314{col 54}{space 4} -.018319{col 67}{space 3} .0568085
{txt}c_info~c_hc2 {c |}{col 14}{res}{space 2}-.0215261{col 26}{space 2} .0190906{col 37}{space 1}   -1.13{col 46}{space 3}0.260{col 54}{space 4}-.0590799{col 67}{space 3} .0160278
{txt}c_infomn_h.. {c |}{col 14}{res}{space 2}-.0104964{col 26}{space 2} .0219189{col 37}{space 1}   -0.48{col 46}{space 3}0.632{col 54}{space 4}-.0536139{col 67}{space 3} .0326211
{txt}c_infomn_h.. {c |}{col 14}{res}{space 2}-.0183716{col 26}{space 2}  .026485{col 37}{space 1}   -0.69{col 46}{space 3}0.488{col 54}{space 4}-.0704712{col 67}{space 3}  .033728
{txt}c_infomn_h.. {c |}{col 14}{res}{space 2}-.1014607{col 26}{space 2} .0934098{col 37}{space 1}   -1.09{col 46}{space 3}0.278{col 54}{space 4}-.2852105{col 67}{space 3} .0822891
{txt}c_infomn_h.. {c |}{col 14}{res}{space 2} .0043895{col 26}{space 2} .0092577{col 37}{space 1}    0.47{col 46}{space 3}0.636{col 54}{space 4}-.0138217{col 67}{space 3} .0226007
{txt}c_infomn_h.. {c |}{col 14}{res}{space 2}-.0289946{col 26}{space 2} .0246549{col 37}{space 1}   -1.18{col 46}{space 3}0.240{col 54}{space 4}-.0774941{col 67}{space 3} .0195048
{txt}c_into~c_hc2 {c |}{col 14}{res}{space 2}-.0196505{col 26}{space 2} .0228337{col 37}{space 1}   -0.86{col 46}{space 3}0.390{col 54}{space 4}-.0645675{col 67}{space 3} .0252664
{txt}c_intomn_h.. {c |}{col 14}{res}{space 2} .0066976{col 26}{space 2}  .024443{col 37}{space 1}    0.27{col 46}{space 3}0.784{col 54}{space 4}-.0413851{col 67}{space 3} .0547803
{txt}c_intomn_h.. {c |}{col 14}{res}{space 2} -.012285{col 26}{space 2} .0253637{col 37}{space 1}   -0.48{col 46}{space 3}0.628{col 54}{space 4}-.0621788{col 67}{space 3} .0376089
{txt}c_intomn_h.. {c |}{col 14}{res}{space 2} .0031839{col 26}{space 2} .0945316{col 37}{space 1}    0.03{col 46}{space 3}0.973{col 54}{space 4}-.1827726{col 67}{space 3} .1891403
{txt}c_intomn_h.. {c |}{col 14}{res}{space 2} .0012773{col 26}{space 2} .0090213{col 37}{space 1}    0.14{col 46}{space 3}0.887{col 54}{space 4}-.0164689{col 67}{space 3} .0190235
{txt}c_intomn_h.. {c |}{col 14}{res}{space 2}-.0079187{col 26}{space 2} .0267511{col 37}{space 1}   -0.30{col 46}{space 3}0.767{col 54}{space 4}-.0605417{col 67}{space 3} .0447042
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} .0610958{col 26}{space 2} .0059011{col 37}{space 1}   10.35{col 46}{space 3}0.000{col 54}{space 4} .0494875{col 67}{space 3} .0727041
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}infomn - intomn = 0{p_end}

{txt}       F(  1,   332) ={res}    1.62
{txt}{col 13}Prob > F ={res}    0.2035

{txt}added scalar:
             e(f_wald) =  {res}.2035376

{p 0 7}{space 1}{text:( 1)}{space 1}{space 1}{res}- fullomn + infomn = 0{p_end}

{txt}       F(  1,   332) ={res}    1.17
{txt}{col 13}Prob > F ={res}    0.2805

{txt}added scalar:
            e(f_wald1) =  {res}.28054249

{p 0 7}{space 1}{text:( 1)}{space 1}{space 1}{res}- fullomn + intomn = 0{p_end}

{txt}       F(  1,   332) ={res}    0.05
{txt}{col 13}Prob > F ={res}    0.8196

{txt}added scalar:
            e(f_wald2) =  {res}.81963648

{p 0 7}{space 1}{text:( 1)}{space 1} fullomn = 0{p_end}
{p 0 7}{space 1}{text:( 2)}{space 1} infomn = 0{p_end}
{p 0 7}{space 1}{text:( 3)}{space 1} intomn = 0{p_end}

{txt}       F(  3,   332) ={res}    2.22
{txt}{col 13}Prob > F ={res}    0.0851

{txt}added scalar:
                e(f_3) =  {res}2.224883

{txt}added scalar:
            e(f_wald3) =  {res}.08510962

{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}       376
{txt}{col 49}F({res}  28{txt},{res}    332{txt}){col 67}= {res}      1.19
{txt}{col 49}Prob > F{col 67}= {res}    0.2324
{txt}{col 49}R-squared{col 67}= {res}    0.1602
{txt}{col 49}Adj R-squared{col 67}= {res}    0.0515
{txt}{col 49}Root MSE{col 67}= {res}    0.0467

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}e_mortrat~01{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 5}fullomn {c |}{col 14}{res}{space 2}-.0060463{col 26}{space 2} .0067663{col 37}{space 1}   -0.89{col 46}{space 3}0.372{col 54}{space 4}-.0193564{col 67}{space 3} .0072639
{txt}{space 6}infomn {c |}{col 14}{res}{space 2}-.0127873{col 26}{space 2} .0060797{col 37}{space 1}   -2.10{col 46}{space 3}0.036{col 54}{space 4}-.0247469{col 67}{space 3}-.0008278
{txt}{space 6}intomn {c |}{col 14}{res}{space 2}-.0041245{col 26}{space 2} .0067581{col 37}{space 1}   -0.61{col 46}{space 3}0.542{col 54}{space 4}-.0174186{col 67}{space 3} .0091696
{txt}b_mortrat~01 {c |}{col 14}{res}{space 2}  .099463{col 26}{space 2} .0425188{col 37}{space 1}    2.34{col 46}{space 3}0.020{col 54}{space 4} .0158227{col 67}{space 3} .1831033
{txt}c_full~c_hc2 {c |}{col 14}{res}{space 2}-.0024076{col 26}{space 2}   .01572{col 37}{space 1}   -0.15{col 46}{space 3}0.878{col 54}{space 4} -.033331{col 67}{space 3} .0285158
{txt}c_fullomn_.. {c |}{col 14}{res}{space 2}-.0057731{col 26}{space 2} .0168472{col 37}{space 1}   -0.34{col 46}{space 3}0.732{col 54}{space 4}-.0389137{col 67}{space 3} .0273676
{txt}c_fullomn_.. {c |}{col 14}{res}{space 2}-.0296307{col 26}{space 2} .0208213{col 37}{space 1}   -1.42{col 46}{space 3}0.156{col 54}{space 4} -.070589{col 67}{space 3} .0113275
{txt}c_fullomn_.. {c |}{col 14}{res}{space 2} -.121825{col 26}{space 2} .0776524{col 37}{space 1}   -1.57{col 46}{space 3}0.118{col 54}{space 4}-.2745778{col 67}{space 3} .0309277
{txt}c_f~c_educyr {c |}{col 14}{res}{space 2}-.0001044{col 26}{space 2} .0069629{col 37}{space 1}   -0.01{col 46}{space 3}0.988{col 54}{space 4}-.0138014{col 67}{space 3} .0135925
{txt}c_fullomn_.. {c |}{col 14}{res}{space 2}-.0163063{col 26}{space 2} .0233776{col 37}{space 1}   -0.70{col 46}{space 3}0.486{col 54}{space 4}-.0622933{col 67}{space 3} .0296806
{txt}{space 4}c_hc_hc2 {c |}{col 14}{res}{space 2} .0020802{col 26}{space 2} .0114314{col 37}{space 1}    0.18{col 46}{space 3}0.856{col 54}{space 4}-.0204069{col 67}{space 3} .0245673
{txt}c_hc_b_h_del {c |}{col 14}{res}{space 2} .0005054{col 26}{space 2} .0122966{col 37}{space 1}    0.04{col 46}{space 3}0.967{col 54}{space 4}-.0236837{col 67}{space 3} .0246944
{txt}c_hc_b_h_s~s {c |}{col 14}{res}{space 2} .0158609{col 26}{space 2} .0136154{col 37}{space 1}    1.16{col 46}{space 3}0.245{col 54}{space 4}-.0109224{col 67}{space 3} .0426443
{txt}c_hc_b_vis~d {c |}{col 14}{res}{space 2} .0216837{col 26}{space 2} .0411089{col 37}{space 1}    0.53{col 46}{space 3}0.598{col 54}{space 4}-.0591831{col 67}{space 3} .1025505
{txt}{space 1}c_hc_educyr {c |}{col 14}{res}{space 2}-.0078889{col 26}{space 2} .0048855{col 37}{space 1}   -1.61{col 46}{space 3}0.107{col 54}{space 4}-.0174994{col 67}{space 3} .0017216
{txt}c_hc_b_ass~x {c |}{col 14}{res}{space 2}  .023534{col 26}{space 2} .0153194{col 37}{space 1}    1.54{col 46}{space 3}0.125{col 54}{space 4}-.0066012{col 67}{space 3} .0536693
{txt}c_info~c_hc2 {c |}{col 14}{res}{space 2}-.0132733{col 26}{space 2}  .014404{col 37}{space 1}   -0.92{col 46}{space 3}0.357{col 54}{space 4}-.0416079{col 67}{space 3} .0150612
{txt}c_infomn_h.. {c |}{col 14}{res}{space 2}-.0095231{col 26}{space 2}  .014819{col 37}{space 1}   -0.64{col 46}{space 3}0.521{col 54}{space 4}-.0386741{col 67}{space 3}  .019628
{txt}c_infomn_h.. {c |}{col 14}{res}{space 2}-.0105835{col 26}{space 2} .0191971{col 37}{space 1}   -0.55{col 46}{space 3}0.582{col 54}{space 4}-.0483468{col 67}{space 3} .0271798
{txt}c_infomn_h.. {c |}{col 14}{res}{space 2}-.1113577{col 26}{space 2} .0809694{col 37}{space 1}   -1.38{col 46}{space 3}0.170{col 54}{space 4}-.2706354{col 67}{space 3} .0479201
{txt}c_infomn_h.. {c |}{col 14}{res}{space 2} .0040521{col 26}{space 2} .0073734{col 37}{space 1}    0.55{col 46}{space 3}0.583{col 54}{space 4}-.0104523{col 67}{space 3} .0185566
{txt}c_infomn_h.. {c |}{col 14}{res}{space 2}-.0276902{col 26}{space 2} .0207594{col 37}{space 1}   -1.33{col 46}{space 3}0.183{col 54}{space 4}-.0685267{col 67}{space 3} .0131463
{txt}c_into~c_hc2 {c |}{col 14}{res}{space 2} .0025956{col 26}{space 2} .0188007{col 37}{space 1}    0.14{col 46}{space 3}0.890{col 54}{space 4}-.0343878{col 67}{space 3}  .039579
{txt}c_intomn_h.. {c |}{col 14}{res}{space 2} .0105269{col 26}{space 2} .0189525{col 37}{space 1}    0.56{col 46}{space 3}0.579{col 54}{space 4}-.0267551{col 67}{space 3}  .047809
{txt}c_intomn_h.. {c |}{col 14}{res}{space 2}-.0010325{col 26}{space 2} .0195076{col 37}{space 1}   -0.05{col 46}{space 3}0.958{col 54}{space 4}-.0394066{col 67}{space 3} .0373416
{txt}c_intomn_h.. {c |}{col 14}{res}{space 2} .0711189{col 26}{space 2} .0793446{col 37}{space 1}    0.90{col 46}{space 3}0.371{col 54}{space 4}-.0849627{col 67}{space 3} .2272005
{txt}c_intomn_h.. {c |}{col 14}{res}{space 2} .0023732{col 26}{space 2} .0074823{col 37}{space 1}    0.32{col 46}{space 3}0.751{col 54}{space 4}-.0123455{col 67}{space 3} .0170918
{txt}c_intomn_h.. {c |}{col 14}{res}{space 2}-.0018946{col 26}{space 2} .0231925{col 37}{space 1}   -0.08{col 46}{space 3}0.935{col 54}{space 4}-.0475174{col 67}{space 3} .0437282
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} .0416163{col 26}{space 2} .0045757{col 37}{space 1}    9.10{col 46}{space 3}0.000{col 54}{space 4} .0326153{col 67}{space 3} .0506174
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}infomn - intomn = 0{p_end}

{txt}       F(  1,   332) ={res}    1.56
{txt}{col 13}Prob > F ={res}    0.2123

{txt}added scalar:
             e(f_wald) =  {res}.21230348

{p 0 7}{space 1}{text:( 1)}{space 1}{space 1}{res}- fullomn + infomn = 0{p_end}

{txt}       F(  1,   332) ={res}    0.94
{txt}{col 13}Prob > F ={res}    0.3337

{txt}added scalar:
            e(f_wald1) =  {res}.3336974

{p 0 7}{space 1}{text:( 1)}{space 1}{space 1}{res}- fullomn + intomn = 0{p_end}

{txt}       F(  1,   332) ={res}    0.07
{txt}{col 13}Prob > F ={res}    0.7971

{txt}added scalar:
            e(f_wald2) =  {res}.79708315

{p 0 7}{space 1}{text:( 1)}{space 1} fullomn = 0{p_end}
{p 0 7}{space 1}{text:( 2)}{space 1} infomn = 0{p_end}
{p 0 7}{space 1}{text:( 3)}{space 1} intomn = 0{p_end}

{txt}       F(  3,   332) ={res}    1.51
{txt}{col 13}Prob > F ={res}    0.2121

{txt}added scalar:
                e(f_3) =  {res}1.5086738

{txt}added scalar:
            e(f_wald3) =  {res}.21209392

{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}       376
{txt}{col 49}F({res}  28{txt},{res}    332{txt}){col 67}= {res}      0.92
{txt}{col 49}Prob > F{col 67}= {res}    0.5820
{txt}{col 49}R-squared{col 67}= {res}    0.1592
{txt}{col 49}Adj R-squared{col 67}= {res}    0.0503
{txt}{col 49}Root MSE{col 67}= {res}    0.0280

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}e_mortrat~15{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 5}fullomn {c |}{col 14}{res}{space 2}-.0056145{col 26}{space 2} .0044443{col 37}{space 1}   -1.26{col 46}{space 3}0.207{col 54}{space 4}-.0143571{col 67}{space 3} .0031281
{txt}{space 6}infomn {c |}{col 14}{res}{space 2}-.0068945{col 26}{space 2} .0043852{col 37}{space 1}   -1.57{col 46}{space 3}0.117{col 54}{space 4}-.0155208{col 67}{space 3} .0017318
{txt}{space 6}intomn {c |}{col 14}{res}{space 2} -.005656{col 26}{space 2} .0045436{col 37}{space 1}   -1.24{col 46}{space 3}0.214{col 54}{space 4} -.014594{col 67}{space 3} .0032819
{txt}b_mortrat~15 {c |}{col 14}{res}{space 2} .0038105{col 26}{space 2} .0569391{col 37}{space 1}    0.07{col 46}{space 3}0.947{col 54}{space 4}-.1081965{col 67}{space 3} .1158175
{txt}c_full~c_hc2 {c |}{col 14}{res}{space 2}-.0037851{col 26}{space 2} .0125599{col 37}{space 1}   -0.30{col 46}{space 3}0.763{col 54}{space 4}-.0284921{col 67}{space 3} .0209218
{txt}c_fullomn_.. {c |}{col 14}{res}{space 2} .0048939{col 26}{space 2} .0146764{col 37}{space 1}    0.33{col 46}{space 3}0.739{col 54}{space 4}-.0239765{col 67}{space 3} .0337643
{txt}c_fullomn_.. {c |}{col 14}{res}{space 2}-.0072028{col 26}{space 2} .0138447{col 37}{space 1}   -0.52{col 46}{space 3}0.603{col 54}{space 4}-.0344371{col 67}{space 3} .0200315
{txt}c_fullomn_.. {c |}{col 14}{res}{space 2} -.047449{col 26}{space 2} .0379419{col 37}{space 1}   -1.25{col 46}{space 3}0.212{col 54}{space 4}-.1220858{col 67}{space 3} .0271878
{txt}c_f~c_educyr {c |}{col 14}{res}{space 2}-.0027015{col 26}{space 2} .0048411{col 37}{space 1}   -0.56{col 46}{space 3}0.577{col 54}{space 4}-.0122245{col 67}{space 3} .0068216
{txt}c_fullomn_.. {c |}{col 14}{res}{space 2}-.0037773{col 26}{space 2} .0131763{col 37}{space 1}   -0.29{col 46}{space 3}0.775{col 54}{space 4}-.0296969{col 67}{space 3} .0221423
{txt}{space 4}c_hc_hc2 {c |}{col 14}{res}{space 2} .0117344{col 26}{space 2}  .010636{col 37}{space 1}    1.10{col 46}{space 3}0.271{col 54}{space 4} -.009188{col 67}{space 3} .0326569
{txt}c_hc_b_h_del {c |}{col 14}{res}{space 2} .0047999{col 26}{space 2} .0125929{col 37}{space 1}    0.38{col 46}{space 3}0.703{col 54}{space 4} -.019972{col 67}{space 3} .0295719
{txt}c_hc_b_h_s~s {c |}{col 14}{res}{space 2}  .001928{col 26}{space 2} .0130479{col 37}{space 1}    0.15{col 46}{space 3}0.883{col 54}{space 4}-.0237389{col 67}{space 3} .0275949
{txt}c_hc_b_vis~d {c |}{col 14}{res}{space 2} .0158409{col 26}{space 2} .0226636{col 37}{space 1}    0.70{col 46}{space 3}0.485{col 54}{space 4}-.0287414{col 67}{space 3} .0604232
{txt}{space 1}c_hc_educyr {c |}{col 14}{res}{space 2} .0000245{col 26}{space 2} .0031872{col 37}{space 1}    0.01{col 46}{space 3}0.994{col 54}{space 4}-.0062452{col 67}{space 3} .0062941
{txt}c_hc_b_ass~x {c |}{col 14}{res}{space 2}-.0041087{col 26}{space 2}  .009335{col 37}{space 1}   -0.44{col 46}{space 3}0.660{col 54}{space 4} -.022472{col 67}{space 3} .0142545
{txt}c_info~c_hc2 {c |}{col 14}{res}{space 2}-.0087162{col 26}{space 2} .0131258{col 37}{space 1}   -0.66{col 46}{space 3}0.507{col 54}{space 4}-.0345365{col 67}{space 3}  .017104
{txt}c_infomn_h.. {c |}{col 14}{res}{space 2}-.0011844{col 26}{space 2} .0138726{col 37}{space 1}   -0.09{col 46}{space 3}0.932{col 54}{space 4}-.0284738{col 67}{space 3} .0261049
{txt}c_infomn_h.. {c |}{col 14}{res}{space 2}-.0086691{col 26}{space 2} .0147711{col 37}{space 1}   -0.59{col 46}{space 3}0.558{col 54}{space 4}-.0377259{col 67}{space 3} .0203877
{txt}c_infomn_h.. {c |}{col 14}{res}{space 2} .0110001{col 26}{space 2} .0375059{col 37}{space 1}    0.29{col 46}{space 3}0.769{col 54}{space 4} -.062779{col 67}{space 3} .0847793
{txt}c_infomn_h.. {c |}{col 14}{res}{space 2}  .000332{col 26}{space 2} .0043213{col 37}{space 1}    0.08{col 46}{space 3}0.939{col 54}{space 4}-.0081687{col 67}{space 3} .0088326
{txt}c_infomn_h.. {c |}{col 14}{res}{space 2}-.0015185{col 26}{space 2} .0119276{col 37}{space 1}   -0.13{col 46}{space 3}0.899{col 54}{space 4}-.0249818{col 67}{space 3} .0219447
{txt}c_into~c_hc2 {c |}{col 14}{res}{space 2}-.0236967{col 26}{space 2} .0130867{col 37}{space 1}   -1.81{col 46}{space 3}0.071{col 54}{space 4}  -.04944{col 67}{space 3} .0020466
{txt}c_intomn_h.. {c |}{col 14}{res}{space 2}-.0039471{col 26}{space 2} .0146858{col 37}{space 1}   -0.27{col 46}{space 3}0.788{col 54}{space 4} -.032836{col 67}{space 3} .0249418
{txt}c_intomn_h.. {c |}{col 14}{res}{space 2}-.0123041{col 26}{space 2} .0140879{col 37}{space 1}   -0.87{col 46}{space 3}0.383{col 54}{space 4} -.040017{col 67}{space 3} .0154087
{txt}c_intomn_h.. {c |}{col 14}{res}{space 2}-.0667531{col 26}{space 2} .0667118{col 37}{space 1}   -1.00{col 46}{space 3}0.318{col 54}{space 4}-.1979843{col 67}{space 3} .0644781
{txt}c_intomn_h.. {c |}{col 14}{res}{space 2}-.0012323{col 26}{space 2} .0043816{col 37}{space 1}   -0.28{col 46}{space 3}0.779{col 54}{space 4}-.0098515{col 67}{space 3} .0073869
{txt}c_intomn_h.. {c |}{col 14}{res}{space 2}-.0068616{col 26}{space 2} .0128867{col 37}{space 1}   -0.53{col 46}{space 3}0.595{col 54}{space 4}-.0322113{col 67}{space 3} .0184882
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} .0204232{col 26}{space 2} .0034996{col 37}{space 1}    5.84{col 46}{space 3}0.000{col 54}{space 4} .0135389{col 67}{space 3} .0273074
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}infomn - intomn = 0{p_end}

{txt}       F(  1,   332) ={res}    0.10
{txt}{col 13}Prob > F ={res}    0.7529

{txt}added scalar:
             e(f_wald) =  {res}.75286051

{p 0 7}{space 1}{text:( 1)}{space 1}{space 1}{res}- fullomn + infomn = 0{p_end}

{txt}       F(  1,   332) ={res}    0.11
{txt}{col 13}Prob > F ={res}    0.7376

{txt}added scalar:
            e(f_wald1) =  {res}.73757696

{p 0 7}{space 1}{text:( 1)}{space 1}{space 1}{res}- fullomn + intomn = 0{p_end}

{txt}       F(  1,   332) ={res}    0.00
{txt}{col 13}Prob > F ={res}    0.9918

{txt}added scalar:
            e(f_wald2) =  {res}.99177883

{p 0 7}{space 1}{text:( 1)}{space 1} fullomn = 0{p_end}
{p 0 7}{space 1}{text:( 2)}{space 1} infomn = 0{p_end}
{p 0 7}{space 1}{text:( 3)}{space 1} intomn = 0{p_end}

{txt}       F(  3,   332) ={res}    0.89
{txt}{col 13}Prob > F ={res}    0.4481

{txt}added scalar:
                e(f_3) =  {res}.88679349

{txt}added scalar:
            e(f_wald3) =  {res}.44814241
{txt}
{com}.                 
.                 
.         # delimit;
{txt}delimiter now ;
{com}.                 esttab m1 m2 m3
>         using "${c -(}tables{c )-}/TableI44.tex", b(%5.3f) se(%5.3f)
>                 title(Child mortality outcomes -- All treatment arms)
>                 keep(fullomn infomn intomn _cons)
>                 varlabels (fullomn "Full treatment" infomn "Information and mobilization only" intomn "Interface only" _cons "Constant")
>                 starlevels(* .10 ** .05 *** .01)                
>                 mtitles("\begin{c -(}tabular{c )-}[c]{c -(}@{c -(}{c )-}c@{c -(}{c )-}{c )-}Child\\mortality\\0-5 years old\end{c -(}tabular{c )-}"
>                                 "\begin{c -(}tabular{c )-}[c]{c -(}@{c -(}{c )-}c@{c -(}{c )-}{c )-}Child mortality\\0-1 year old\end{c -(}tabular{c )-}"
>                                 "\begin{c -(}tabular{c )-}[c]{c -(}@{c -(}{c )-}c@{c -(}{c )-}{c )-}Child mortality\\1-5 years old\end{c -(}tabular{c )-}")
>                 stats(N r2 f_wald f_wald1 f_wald2 hline f_3 f_wald3, labels("N" "R$^{c -(}2{c )-}$" "P-value (Information = Interface)" "P-value (Information = Full treatment)" "P-value (Interface = Full treatment)" "\hline" "F-test (joint significance of all 3 treatment groups)" "P-value (joint significance of all 3 treatment groups)") fmt(%9.0fc %9.3fc)) label booktabs nonotes replace
>         
>         ;
{res}{txt}(output written to {browse  `"/Users/fredericcochinard/Dropbox/ACT_Health_JOP_replication_file/3.Tables and Figures/Tables/TableI44.tex"'})

{com}.                 # delimit cr
{txt}delimiter now cr
{com}.         
.         **********************************************************************
.         * Table I45: Child mortality at the child level – All treatment arms *
.         **********************************************************************
. 
.         eststo clear
{txt}
{com}.         
.         use "${c -(}usedata{c )-}/mortality_endline_ind.dta", clear
{txt}
{com}.         
.         * We regress the results at endline for each bracket concerned in the PAP
.         
.         * We regress with birth month and synthetic cohort approach baseline HC level
.         
.         local y = 1
{txt}
{com}.         
.         foreach bracket in 05 01 15{c -(}
{txt}  2{com}.                 
.                 stset e_survmonths_ab_`bracket', failure(dead_endline==1) id(childroster_id)
{txt}  3{com}.                 stcox fullomn infomn intomn `controls_`bracket'' `fullomn_`bracket'_controls' `infomn_`bracket'_controls' `intomn_`bracket'_controls' e_birthmonth b_mortrate_`bracket' if e_agebracket_`bracket' == 1, vce(cluster hc_id)
{txt}  4{com}.                 
.                 stphtest, detail
{txt}  5{com}.                 
.                 test infomn = intomn
{txt}  6{com}.                 estadd scalar f_wald = r(p)
{txt}  7{com}.                 
.                 test infomn = fullomn
{txt}  8{com}.                 estadd scalar f_wald1 = r(p)
{txt}  9{com}.                 
.                 test intomn = fullomn
{txt} 10{com}.                 estadd scalar f_wald2 = r(p)
{txt} 11{com}.                 
.                 test fullomn infomn intomn
{txt} 12{com}.                 estadd scalar f_3 = r(chi2)
{txt} 13{com}.                 estadd scalar f_wald3 = r(p)
{txt} 14{com}.                 
.                 estimate store m`y'
{txt} 15{com}.                 
.                 local y = `y' + 1
{txt} 16{com}.                 
.                 {c )-}

                {txt}id:  {res}childroster_id
     {txt}failure event:  {res}dead_endline == 1
{txt}obs. time interval:  {res}(e_survmonths_ab_05[_n-1], e_survmonths_ab_05]
{txt} exit on or before:  {res}failure

{txt}{hline 78}
{res}      20478{txt}  total observations
{res}        107{txt}  event time missing (e_survmonths_ab_05>=.)         PROBABLE ERROR
{hline 78}
{res}      20371{txt}  observations remaining, representing
{res}      20371{txt}  subjects
{res}        229{txt}  failures in single-failure-per-subject data
{res}     371556{txt}  total analysis time at risk and under observation
                                                at risk from t = {res}        0
                                     {txt}earliest observed entry t = {res}        0
                                          {txt}last observed exit t = {res}       26

         {txt}failure _d:  {res}dead_endline == 1
   {txt}analysis time _t:  {res}e_survmonths_ab_05
                 {txt}id:  {res}childroster_id

{txt}Iteration 0:   log pseudolikelihood = {res}-2215.4336
{txt}Iteration 1:   log pseudolikelihood = {res} -2197.307
{txt}Iteration 2:   log pseudolikelihood = {res}-2196.7092
{txt}Iteration 3:   log pseudolikelihood = {res}-2196.7062
{txt}Iteration 4:   log pseudolikelihood = {res}-2196.7062
{txt}Refining estimates:
Iteration 0:   log pseudolikelihood = {res}-2196.7062

{txt}Cox regression -- Breslow method for ties

No. of subjects      = {res}      20,371             {txt}Number of obs    =  {res}    20,371
{txt}No. of failures      = {res}         229
{txt}Time at risk         = {res}      371556
                                                {txt}Wald chi2({res}29{txt})    =  {res}     39.93
{txt}Log pseudolikelihood =   {res}-2196.7062             {txt}Prob > chi2      =  {res}    0.0850

{txt}{ralign 78:(Std. Err. adjusted for {res:376} clusters in hc_id)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}          _t{col 14}{c |} Haz. Ratio{col 26}   Std. Err.{col 38}      z{col 46}   P>|z|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 5}fullomn {c |}{col 14}{res}{space 2} 1.079886{col 26}{space 2} .2412048{col 37}{space 1}    0.34{col 46}{space 3}0.731{col 54}{space 4} .6970316{col 67}{space 3} 1.673029
{txt}{space 6}infomn {c |}{col 14}{res}{space 2} .9602183{col 26}{space 2}  .227898{col 37}{space 1}   -0.17{col 46}{space 3}0.864{col 54}{space 4} .6030398{col 67}{space 3} 1.528952
{txt}{space 6}intomn {c |}{col 14}{res}{space 2} 1.165504{col 26}{space 2} .2454548{col 37}{space 1}    0.73{col 46}{space 3}0.467{col 54}{space 4} .7713494{col 67}{space 3}  1.76107
{txt}{space 4}c_05_hc2 {c |}{col 14}{res}{space 2} 1.088007{col 26}{space 2} .4096489{col 37}{space 1}    0.22{col 46}{space 3}0.823{col 54}{space 4} .5201672{col 67}{space 3} 2.275727
{txt}c_05_b_h_del {c |}{col 14}{res}{space 2}  1.41092{col 26}{space 2} .5850877{col 37}{space 1}    0.83{col 46}{space 3}0.406{col 54}{space 4}  .625924{col 67}{space 3}  3.18041
{txt}c_05_b_h_s~s {c |}{col 14}{res}{space 2} 1.261133{col 26}{space 2} .6265288{col 37}{space 1}    0.47{col 46}{space 3}0.640{col 54}{space 4} .4763056{col 67}{space 3} 3.339154
{txt}c_05_b_vis~d {c |}{col 14}{res}{space 2} .4825647{col 26}{space 2} .2016103{col 37}{space 1}   -1.74{col 46}{space 3}0.081{col 54}{space 4}  .212781{col 67}{space 3} 1.094406
{txt}{space 1}c_05_educyr {c |}{col 14}{res}{space 2}  .979157{col 26}{space 2} .0278983{col 37}{space 1}   -0.74{col 46}{space 3}0.460{col 54}{space 4} .9259761{col 67}{space 3} 1.035392
{txt}c_05_b_ass~x {c |}{col 14}{res}{space 2} .6646703{col 26}{space 2} .1257485{col 37}{space 1}   -2.16{col 46}{space 3}0.031{col 54}{space 4} .4587416{col 67}{space 3} .9630403
{txt}c_ful~05_hc2 {c |}{col 14}{res}{space 2} 1.377017{col 26}{space 2} .6793185{col 37}{space 1}    0.65{col 46}{space 3}0.517{col 54}{space 4} .5236241{col 67}{space 3} 3.621256
{txt}c_fullomn0.. {c |}{col 14}{res}{space 2} .7707755{col 26}{space 2} .3839189{col 37}{space 1}   -0.52{col 46}{space 3}0.601{col 54}{space 4} .2903683{col 67}{space 3} 2.046004
{txt}c_fullomn0.. {c |}{col 14}{res}{space 2} .8637526{col 26}{space 2} .5178763{col 37}{space 1}   -0.24{col 46}{space 3}0.807{col 54}{space 4} .2667093{col 67}{space 3} 2.797309
{txt}c_fullomn0.. {c |}{col 14}{res}{space 2} 2.469624{col 26}{space 2}  1.64367{col 37}{space 1}    1.36{col 46}{space 3}0.174{col 54}{space 4}  .670054{col 67}{space 3} 9.102316
{txt}c_fullomn0.. {c |}{col 14}{res}{space 2} .9634538{col 26}{space 2}  .041508{col 37}{space 1}   -0.86{col 46}{space 3}0.387{col 54}{space 4} .8854398{col 67}{space 3} 1.048342
{txt}c_fullomn0.. {c |}{col 14}{res}{space 2} 1.118199{col 26}{space 2} .2724125{col 37}{space 1}    0.46{col 46}{space 3}0.647{col 54}{space 4} .6936682{col 67}{space 3} 1.802546
{txt}c_infomn05~2 {c |}{col 14}{res}{space 2} .7239903{col 26}{space 2} .3878404{col 37}{space 1}   -0.60{col 46}{space 3}0.547{col 54}{space 4} .2533643{col 67}{space 3} 2.068807
{txt}c_infomn05~l {c |}{col 14}{res}{space 2} .6344103{col 26}{space 2} .3548609{col 37}{space 1}   -0.81{col 46}{space 3}0.416{col 54}{space 4} .2119562{col 67}{space 3} 1.898867
{txt}c_infomn05~s {c |}{col 14}{res}{space 2} .8081497{col 26}{space 2} .5788629{col 37}{space 1}   -0.30{col 46}{space 3}0.766{col 54}{space 4} .1985142{col 67}{space 3} 3.289971
{txt}c_infomn05~d {c |}{col 14}{res}{space 2} 1.364366{col 26}{space 2} .9076625{col 37}{space 1}    0.47{col 46}{space 3}0.640{col 54}{space 4} .3703885{col 67}{space 3} 5.025786
{txt}c_infomn05~r {c |}{col 14}{res}{space 2} .9414404{col 26}{space 2} .0408879{col 37}{space 1}   -1.39{col 46}{space 3}0.165{col 54}{space 4} .8646176{col 67}{space 3} 1.025089
{txt}c_infomn05~x {c |}{col 14}{res}{space 2} 1.536438{col 26}{space 2}  .418509{col 37}{space 1}    1.58{col 46}{space 3}0.115{col 54}{space 4} .9008593{col 67}{space 3} 2.620433
{txt}c_intomn05~2 {c |}{col 14}{res}{space 2} .7491387{col 26}{space 2} .3729286{col 37}{space 1}   -0.58{col 46}{space 3}0.562{col 54}{space 4} .2823746{col 67}{space 3} 1.987462
{txt}c_intomn05~l {c |}{col 14}{res}{space 2} .6637446{col 26}{space 2} .3515988{col 37}{space 1}   -0.77{col 46}{space 3}0.439{col 54}{space 4} .2350187{col 67}{space 3} 1.874561
{txt}c_intomn05~s {c |}{col 14}{res}{space 2} .7384288{col 26}{space 2} .4224461{col 37}{space 1}   -0.53{col 46}{space 3}0.596{col 54}{space 4} .2406283{col 67}{space 3} 2.266056
{txt}c_intomn05~d {c |}{col 14}{res}{space 2} 1.226673{col 26}{space 2} .7670073{col 37}{space 1}    0.33{col 46}{space 3}0.744{col 54}{space 4} .3601588{col 67}{space 3} 4.177952
{txt}c_intomn05~r {c |}{col 14}{res}{space 2} 1.007613{col 26}{space 2} .0396576{col 37}{space 1}    0.19{col 46}{space 3}0.847{col 54}{space 4} .9328081{col 67}{space 3} 1.088417
{txt}c_intomn05~x {c |}{col 14}{res}{space 2} 1.525473{col 26}{space 2}  .392728{col 37}{space 1}    1.64{col 46}{space 3}0.101{col 54}{space 4} .9210128{col 67}{space 3} 2.526641
{txt}e_birthmonth {c |}{col 14}{res}{space 2} .9817132{col 26}{space 2} .0183717{col 37}{space 1}   -0.99{col 46}{space 3}0.324{col 54}{space 4} .9463577{col 67}{space 3}  1.01839
{txt}b_mortrat~05 {c |}{col 14}{res}{space 2} 1.170751{col 26}{space 2} 1.370648{col 37}{space 1}    0.13{col 46}{space 3}0.893{col 54}{space 4} .1180122{col 67}{space 3} 11.61455
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

      Test of proportional-hazards assumption

      Time:  {res}Time
{txt}      {hline 12}{c TT}{hline 51}
                  {c |}       rho            chi2       df       Prob>chi2
      {hline 12}{c +}{hline 51}
      fullomn{col 19}{c |}{res}{col 25}-0.07556{col 37}     1.68{col 50}    1{col 64}0.1943
{txt}      infomn{col 19}{c |}{res}{col 25}-0.04347{col 37}     0.59{col 50}    1{col 64}0.4431
{txt}      intomn{col 19}{c |}{res}{col 25}-0.04718{col 37}     0.65{col 50}    1{col 64}0.4197
{txt}      c_05_hc2{col 19}{c |}{res}{col 25}-0.03168{col 37}     0.51{col 50}    1{col 64}0.4738
{txt}      c_05_b_h_del{col 19}{c |}{res}{col 25}-0.01990{col 37}     0.17{col 50}    1{col 64}0.6773
{txt}      c_05_b_h_s~s{col 19}{c |}{res}{col 25} 0.04181{col 37}     0.75{col 50}    1{col 64}0.3860
{txt}      c_05_b_vis~d{col 19}{c |}{res}{col 25} 0.02333{col 37}     0.21{col 50}    1{col 64}0.6503
{txt}      c_05_educyr{col 19}{c |}{res}{col 25}-0.04965{col 37}     0.45{col 50}    1{col 64}0.5008
{txt}      c_05_b_ass~x{col 19}{c |}{res}{col 25}-0.09777{col 37}     4.85{col 50}    1{col 64}0.0277
{txt}      c_ful~05_hc2{col 19}{c |}{res}{col 25} 0.05762{col 37}     1.43{col 50}    1{col 64}0.2323
{txt}      c_fullomn0..{col 19}{c |}{res}{col 25} 0.03799{col 37}     0.54{col 50}    1{col 64}0.4629
{txt}      c_fullomn0..{col 19}{c |}{res}{col 25}-0.01802{col 37}     0.12{col 50}    1{col 64}0.7319
{txt}      c_fullomn0..{col 19}{c |}{res}{col 25}-0.03106{col 37}     0.26{col 50}    1{col 64}0.6067
{txt}      c_fullomn0..{col 19}{c |}{res}{col 25} 0.01758{col 37}     0.07{col 50}    1{col 64}0.7971
{txt}      c_fullomn0..{col 19}{c |}{res}{col 25} 0.06066{col 37}     1.44{col 50}    1{col 64}0.2296
{txt}      c_infomn05~2{col 19}{c |}{res}{col 25} 0.08044{col 37}     2.61{col 50}    1{col 64}0.1059
{txt}      c_infomn05~l{col 19}{c |}{res}{col 25} 0.03681{col 37}     0.50{col 50}    1{col 64}0.4794
{txt}      c_infomn05~s{col 19}{c |}{res}{col 25} 0.03183{col 37}     0.52{col 50}    1{col 64}0.4723
{txt}      c_infomn05~d{col 19}{c |}{res}{col 25} 0.01518{col 37}     0.09{col 50}    1{col 64}0.7634
{txt}      c_infomn05~r{col 19}{c |}{res}{col 25}-0.02923{col 37}     0.18{col 50}    1{col 64}0.6689
{txt}      c_infomn05~x{col 19}{c |}{res}{col 25} 0.05763{col 37}     1.73{col 50}    1{col 64}0.1882
{txt}      c_intomn05~2{col 19}{c |}{res}{col 25} 0.01547{col 37}     0.09{col 50}    1{col 64}0.7583
{txt}      c_intomn05~l{col 19}{c |}{res}{col 25} 0.04733{col 37}     0.80{col 50}    1{col 64}0.3704
{txt}      c_intomn05~s{col 19}{c |}{res}{col 25}-0.05498{col 37}     1.12{col 50}    1{col 64}0.2894
{txt}      c_intomn05~d{col 19}{c |}{res}{col 25}-0.07019{col 37}     1.56{col 50}    1{col 64}0.2115
{txt}      c_intomn05~r{col 19}{c |}{res}{col 25} 0.04394{col 37}     0.30{col 50}    1{col 64}0.5814
{txt}      c_intomn05~x{col 19}{c |}{res}{col 25}-0.00801{col 37}     0.03{col 50}    1{col 64}0.8601
{txt}      e_birthmonth{col 19}{c |}{res}{col 25}-0.04283{col 37}     0.58{col 50}    1{col 64}0.4459
{txt}      b_mortrat~05{col 19}{c |}{res}{col 25} 0.02446{col 37}     0.19{col 50}    1{col 64}0.6619
{txt}      {hline 12}{c +}{hline 51}
      global test {c |}{res}{col 37}    33.45{col 50}   29{col 64}0.2601
{txt}      {hline 12}{c BT}{hline 51}

note: robust variance-covariance matrix used.

{p 0 7}{space 1}{text:( 1)}{space 1} {res}infomn - intomn = 0{p_end}

{txt}{col 12}chi2(  1) ={res}    0.81
{txt}{col 10}Prob > chi2 =  {res}  0.3674

{txt}added scalar:
             e(f_wald) =  {res}.36741089

{p 0 7}{space 1}{text:( 1)}{space 1}{space 1}{res}- fullomn + infomn = 0{p_end}

{txt}{col 12}chi2(  1) ={res}    0.27
{txt}{col 10}Prob > chi2 =  {res}  0.6057

{txt}added scalar:
            e(f_wald1) =  {res}.60573206

{p 0 7}{space 1}{text:( 1)}{space 1}{space 1}{res}- fullomn + intomn = 0{p_end}

{txt}{col 12}chi2(  1) ={res}    0.15
{txt}{col 10}Prob > chi2 =  {res}  0.7024

{txt}added scalar:
            e(f_wald2) =  {res}.70239478

{p 0 7}{space 1}{text:( 1)}{space 1} fullomn = 0{p_end}
{p 0 7}{space 1}{text:( 2)}{space 1} infomn = 0{p_end}
{p 0 7}{space 1}{text:( 3)}{space 1} intomn = 0{p_end}

{txt}{col 12}chi2(  3) ={res}    1.00
{txt}{col 10}Prob > chi2 =  {res}  0.8017

{txt}added scalar:
                e(f_3) =  {res}.99827028

{txt}added scalar:
            e(f_wald3) =  {res}.8016705

                {txt}id:  {res}childroster_id
     {txt}failure event:  {res}dead_endline == 1
{txt}obs. time interval:  {res}(e_survmonths_ab_01[_n-1], e_survmonths_ab_01]
{txt} exit on or before:  {res}failure

{txt}{hline 78}
{res}      20478{txt}  total observations
{res}      11307{txt}  event time missing (e_survmonths_ab_01>=.)         PROBABLE ERROR
{hline 78}
{res}       9171{txt}  observations remaining, representing
{res}       9171{txt}  subjects
{res}        180{txt}  failures in single-failure-per-subject data
{res}      72639{txt}  total analysis time at risk and under observation
                                                at risk from t = {res}        0
                                     {txt}earliest observed entry t = {res}        0
                                          {txt}last observed exit t = {res}       13

         {txt}failure _d:  {res}dead_endline == 1
   {txt}analysis time _t:  {res}e_survmonths_ab_01
                 {txt}id:  {res}childroster_id

{txt}Iteration 0:   log pseudolikelihood = {res}-1583.8538
{txt}Iteration 1:   log pseudolikelihood = {res}-1568.8709
{txt}Iteration 2:   log pseudolikelihood = {res}-1568.5535
{txt}Iteration 3:   log pseudolikelihood = {res}-1568.5529
{txt}Iteration 4:   log pseudolikelihood = {res}-1568.5529
{txt}Refining estimates:
Iteration 0:   log pseudolikelihood = {res}-1568.5529

{txt}Cox regression -- Breslow method for ties

No. of subjects      = {res}       9,171             {txt}Number of obs    =  {res}     9,171
{txt}No. of failures      = {res}         180
{txt}Time at risk         = {res}       72639
                                                {txt}Wald chi2({res}29{txt})    =  {res}     39.88
{txt}Log pseudolikelihood =   {res}-1568.5529             {txt}Prob > chi2      =  {res}    0.0858

{txt}{ralign 78:(Std. Err. adjusted for {res:376} clusters in hc_id)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}          _t{col 14}{c |} Haz. Ratio{col 26}   Std. Err.{col 38}      z{col 46}   P>|z|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 5}fullomn {c |}{col 14}{res}{space 2} 1.149556{col 26}{space 2} .3005814{col 37}{space 1}    0.53{col 46}{space 3}0.594{col 54}{space 4} .6885912{col 67}{space 3} 1.919106
{txt}{space 6}infomn {c |}{col 14}{res}{space 2} .8997542{col 26}{space 2} .2545158{col 37}{space 1}   -0.37{col 46}{space 3}0.709{col 54}{space 4} .5168235{col 67}{space 3}  1.56641
{txt}{space 6}intomn {c |}{col 14}{res}{space 2} 1.145325{col 26}{space 2} .2778782{col 37}{space 1}    0.56{col 46}{space 3}0.576{col 54}{space 4} .7118867{col 67}{space 3} 1.842667
{txt}{space 4}c_01_hc2 {c |}{col 14}{res}{space 2} .8043568{col 26}{space 2} .3502906{col 37}{space 1}   -0.50{col 46}{space 3}0.617{col 54}{space 4} .3425765{col 67}{space 3} 1.888599
{txt}c_01_b_h_del {c |}{col 14}{res}{space 2} 1.349053{col 26}{space 2} .7204131{col 37}{space 1}    0.56{col 46}{space 3}0.575{col 54}{space 4} .4736698{col 67}{space 3} 3.842222
{txt}c_01_b_h_s~s {c |}{col 14}{res}{space 2} .7908801{col 26}{space 2} .4458762{col 37}{space 1}   -0.42{col 46}{space 3}0.677{col 54}{space 4} .2619551{col 67}{space 3} 2.387781
{txt}c_01_b_vis~d {c |}{col 14}{res}{space 2} .4440542{col 26}{space 2} .2075372{col 37}{space 1}   -1.74{col 46}{space 3}0.082{col 54}{space 4} .1776686{col 67}{space 3} 1.109842
{txt}{space 1}c_01_educyr {c |}{col 14}{res}{space 2} .9576473{col 26}{space 2} .0316356{col 37}{space 1}   -1.31{col 46}{space 3}0.190{col 54}{space 4} .8976074{col 67}{space 3} 1.021703
{txt}c_01_b_ass~x {c |}{col 14}{res}{space 2} .8052299{col 26}{space 2} .1477178{col 37}{space 1}   -1.18{col 46}{space 3}0.238{col 54}{space 4} .5620418{col 67}{space 3} 1.153642
{txt}c_full~1_hc2 {c |}{col 14}{res}{space 2} 1.554237{col 26}{space 2} .8816021{col 37}{space 1}    0.78{col 46}{space 3}0.437{col 54}{space 4}  .511322{col 67}{space 3} 4.724328
{txt}c_fullomn0.. {c |}{col 14}{res}{space 2}  .805957{col 26}{space 2} .5049979{col 37}{space 1}   -0.34{col 46}{space 3}0.731{col 54}{space 4} .2360286{col 67}{space 3} 2.752068
{txt}c_fullomn0.. {c |}{col 14}{res}{space 2} 1.146887{col 26}{space 2} .7867835{col 37}{space 1}    0.20{col 46}{space 3}0.842{col 54}{space 4} .2989388{col 67}{space 3} 4.400064
{txt}c_fullomn0.. {c |}{col 14}{res}{space 2}  2.34095{col 26}{space 2} 1.630376{col 37}{space 1}    1.22{col 46}{space 3}0.222{col 54}{space 4} .5978127{col 67}{space 3} 9.166828
{txt}c_f~1_educyr {c |}{col 14}{res}{space 2} .9816619{col 26}{space 2} .0493279{col 37}{space 1}   -0.37{col 46}{space 3}0.713{col 54}{space 4} .8895894{col 67}{space 3} 1.083264
{txt}c_fullomn0.. {c |}{col 14}{res}{space 2} .9841746{col 26}{space 2} .2450505{col 37}{space 1}   -0.06{col 46}{space 3}0.949{col 54}{space 4} .6041305{col 67}{space 3} 1.603295
{txt}c_infomn01~2 {c |}{col 14}{res}{space 2} .6630991{col 26}{space 2} .3816199{col 37}{space 1}   -0.71{col 46}{space 3}0.475{col 54}{space 4} .2146366{col 67}{space 3} 2.048581
{txt}c_infomn01~l {c |}{col 14}{res}{space 2} .5441445{col 26}{space 2} .3495244{col 37}{space 1}   -0.95{col 46}{space 3}0.343{col 54}{space 4} .1545096{col 67}{space 3} 1.916341
{txt}c_infomn01~s {c |}{col 14}{res}{space 2} 1.207786{col 26}{space 2} .9259666{col 37}{space 1}    0.25{col 46}{space 3}0.805{col 54}{space 4} .2687842{col 67}{space 3} 5.427202
{txt}c_infomn01~d {c |}{col 14}{res}{space 2} 1.122272{col 26}{space 2} .8059184{col 37}{space 1}    0.16{col 46}{space 3}0.872{col 54}{space 4} .2746876{col 67}{space 3} 4.585189
{txt}c_infomn01~r {c |}{col 14}{res}{space 2} .9365004{col 26}{space 2} .0454968{col 37}{space 1}   -1.35{col 46}{space 3}0.177{col 54}{space 4}  .851442{col 67}{space 3} 1.030056
{txt}c_infomn01~x {c |}{col 14}{res}{space 2} 1.523347{col 26}{space 2} .4264448{col 37}{space 1}    1.50{col 46}{space 3}0.133{col 54}{space 4} .8800637{col 67}{space 3} 2.636839
{txt}c_intomn01~2 {c |}{col 14}{res}{space 2} .8943665{col 26}{space 2} .4869329{col 37}{space 1}   -0.21{col 46}{space 3}0.838{col 54}{space 4} .3076688{col 67}{space 3} 2.599846
{txt}c_intomn01~l {c |}{col 14}{res}{space 2} .6412339{col 26}{space 2} .4086905{col 37}{space 1}   -0.70{col 46}{space 3}0.486{col 54}{space 4} .1838667{col 67}{space 3} 2.236299
{txt}c_intomn01~s {c |}{col 14}{res}{space 2} 1.192613{col 26}{space 2}  .778743{col 37}{space 1}    0.27{col 46}{space 3}0.787{col 54}{space 4} .3316569{col 67}{space 3} 4.288549
{txt}c_intomn01~d {c |}{col 14}{res}{space 2} 1.546531{col 26}{space 2} 1.092876{col 37}{space 1}    0.62{col 46}{space 3}0.537{col 54}{space 4} .3871201{col 67}{space 3} 6.178333
{txt}c_intomn01~r {c |}{col 14}{res}{space 2} 1.016143{col 26}{space 2} .0438477{col 37}{space 1}    0.37{col 46}{space 3}0.711{col 54}{space 4} .9337366{col 67}{space 3} 1.105821
{txt}c_intomn01~x {c |}{col 14}{res}{space 2} 1.521512{col 26}{space 2} .3941292{col 37}{space 1}    1.62{col 46}{space 3}0.105{col 54}{space 4} .9157606{col 67}{space 3} 2.527952
{txt}e_birthmonth {c |}{col 14}{res}{space 2}   .99432{col 26}{space 2} .0211219{col 37}{space 1}   -0.27{col 46}{space 3}0.789{col 54}{space 4} .9537717{col 67}{space 3} 1.036592
{txt}b_mortrat~01 {c |}{col 14}{res}{space 2} 2.189828{col 26}{space 2} 2.875577{col 37}{space 1}    0.60{col 46}{space 3}0.551{col 54}{space 4} .1669754{col 67}{space 3} 28.71886
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

      Test of proportional-hazards assumption

      Time:  {res}Time
{txt}      {hline 12}{c TT}{hline 51}
                  {c |}       rho            chi2       df       Prob>chi2
      {hline 12}{c +}{hline 51}
      fullomn{col 19}{c |}{res}{col 25} 0.01029{col 37}     0.03{col 50}    1{col 64}0.8640
{txt}      infomn{col 19}{c |}{res}{col 25}-0.06617{col 37}     1.22{col 50}    1{col 64}0.2688
{txt}      intomn{col 19}{c |}{res}{col 25} 0.01942{col 37}     0.10{col 50}    1{col 64}0.7539
{txt}      c_01_hc2{col 19}{c |}{res}{col 25}-0.00780{col 37}     0.03{col 50}    1{col 64}0.8729
{txt}      c_01_b_h_del{col 19}{c |}{res}{col 25} 0.00728{col 37}     0.02{col 50}    1{col 64}0.8786
{txt}      c_01_b_h_s~s{col 19}{c |}{res}{col 25} 0.00817{col 37}     0.03{col 50}    1{col 64}0.8647
{txt}      c_01_b_vis~d{col 19}{c |}{res}{col 25}-0.00643{col 37}     0.01{col 50}    1{col 64}0.9042
{txt}      c_01_educyr{col 19}{c |}{res}{col 25}-0.04824{col 37}     0.43{col 50}    1{col 64}0.5109
{txt}      c_01_b_ass~x{col 19}{c |}{res}{col 25}-0.04651{col 37}     0.82{col 50}    1{col 64}0.3655
{txt}      c_full~1_hc2{col 19}{c |}{res}{col 25}-0.02094{col 37}     0.16{col 50}    1{col 64}0.6874
{txt}      c_fullomn0..{col 19}{c |}{res}{col 25}-0.01689{col 37}     0.11{col 50}    1{col 64}0.7449
{txt}      c_fullomn0..{col 19}{c |}{res}{col 25}-0.00335{col 37}     0.00{col 50}    1{col 64}0.9491
{txt}      c_fullomn0..{col 19}{c |}{res}{col 25}-0.03057{col 37}     0.23{col 50}    1{col 64}0.6312
{txt}      c_f~1_educyr{col 19}{c |}{res}{col 25}-0.00955{col 37}     0.02{col 50}    1{col 64}0.8858
{txt}      c_fullomn0..{col 19}{c |}{res}{col 25} 0.03911{col 37}     0.44{col 50}    1{col 64}0.5066
{txt}      c_infomn01~2{col 19}{c |}{res}{col 25} 0.00949{col 37}     0.03{col 50}    1{col 64}0.8654
{txt}      c_infomn01~l{col 19}{c |}{res}{col 25}-0.00369{col 37}     0.00{col 50}    1{col 64}0.9450
{txt}      c_infomn01~s{col 19}{c |}{res}{col 25} 0.11484{col 37}     5.77{col 50}    1{col 64}0.0163
{txt}      c_infomn01~d{col 19}{c |}{res}{col 25}-0.03445{col 37}     0.41{col 50}    1{col 64}0.5210
{txt}      c_infomn01~r{col 19}{c |}{res}{col 25}-0.13346{col 37}     3.74{col 50}    1{col 64}0.0531
{txt}      c_infomn01~x{col 19}{c |}{res}{col 25} 0.13690{col 37}     7.71{col 50}    1{col 64}0.0055
{txt}      c_intomn01~2{col 19}{c |}{res}{col 25}-0.00066{col 37}     0.00{col 50}    1{col 64}0.9907
{txt}      c_intomn01~l{col 19}{c |}{res}{col 25} 0.02257{col 37}     0.18{col 50}    1{col 64}0.6713
{txt}      c_intomn01~s{col 19}{c |}{res}{col 25}-0.04466{col 37}     0.73{col 50}    1{col 64}0.3930
{txt}      c_intomn01~d{col 19}{c |}{res}{col 25}-0.05002{col 37}     0.67{col 50}    1{col 64}0.4139
{txt}      c_intomn01~r{col 19}{c |}{res}{col 25}-0.00129{col 37}     0.00{col 50}    1{col 64}0.9875
{txt}      c_intomn01~x{col 19}{c |}{res}{col 25}-0.06740{col 37}     1.59{col 50}    1{col 64}0.2072
{txt}      e_birthmonth{col 19}{c |}{res}{col 25}-0.06041{col 37}     0.87{col 50}    1{col 64}0.3512
{txt}      b_mortrat~01{col 19}{c |}{res}{col 25}-0.10402{col 37}     3.09{col 50}    1{col 64}0.0787
{txt}      {hline 12}{c +}{hline 51}
      global test {c |}{res}{col 37}    35.73{col 50}   29{col 64}0.1814
{txt}      {hline 12}{c BT}{hline 51}

note: robust variance-covariance matrix used.

{p 0 7}{space 1}{text:( 1)}{space 1} {res}infomn - intomn = 0{p_end}

{txt}{col 12}chi2(  1) ={res}    0.98
{txt}{col 10}Prob > chi2 =  {res}  0.3215

{txt}added scalar:
             e(f_wald) =  {res}.32152001

{p 0 7}{space 1}{text:( 1)}{space 1}{space 1}{res}- fullomn + infomn = 0{p_end}

{txt}{col 12}chi2(  1) ={res}    0.87
{txt}{col 10}Prob > chi2 =  {res}  0.3515

{txt}added scalar:
            e(f_wald1) =  {res}.35153078

{p 0 7}{space 1}{text:( 1)}{space 1}{space 1}{res}- fullomn + intomn = 0{p_end}

{txt}{col 12}chi2(  1) ={res}    0.00
{txt}{col 10}Prob > chi2 =  {res}  0.9865

{txt}added scalar:
            e(f_wald2) =  {res}.98647293

{p 0 7}{space 1}{text:( 1)}{space 1} fullomn = 0{p_end}
{p 0 7}{space 1}{text:( 2)}{space 1} infomn = 0{p_end}
{p 0 7}{space 1}{text:( 3)}{space 1} intomn = 0{p_end}

{txt}{col 12}chi2(  3) ={res}    1.28
{txt}{col 10}Prob > chi2 =  {res}  0.7344

{txt}added scalar:
                e(f_3) =  {res}1.27785

{txt}added scalar:
            e(f_wald3) =  {res}.73439942

                {txt}id:  {res}childroster_id
     {txt}failure event:  {res}dead_endline == 1
{txt}obs. time interval:  {res}(e_survmonths_ab_15[_n-1], e_survmonths_ab_15]
{txt} exit on or before:  {res}failure

{txt}{hline 78}
{res}      20478{txt}  total observations
{res}       3115{txt}  event time missing (e_survmonths_ab_15>=.)         PROBABLE ERROR
{hline 78}
{res}      17363{txt}  observations remaining, representing
{res}      17363{txt}  subjects
{res}         92{txt}  failures in single-failure-per-subject data
{res}     298917{txt}  total analysis time at risk and under observation
                                                at risk from t = {res}        0
                                     {txt}earliest observed entry t = {res}        0
                                          {txt}last observed exit t = {res}       26

         {txt}failure _d:  {res}dead_endline == 1
   {txt}analysis time _t:  {res}e_survmonths_ab_15
                 {txt}id:  {res}childroster_id

{txt}Iteration 0:   log pseudolikelihood = {res}-854.53601
{txt}Iteration 1:   log pseudolikelihood = {res}-827.44204
{txt}Iteration 2:   log pseudolikelihood = {res}-824.88928
{txt}Iteration 3:   log pseudolikelihood = {res}-824.74594
{txt}Iteration 4:   log pseudolikelihood = {res}-824.70452
{txt}Iteration 5:   log pseudolikelihood = {res}-824.68933
{txt}Iteration 6:   log pseudolikelihood = {res}-824.68374
{txt}Iteration 7:   log pseudolikelihood = {res}-824.68169
{txt}Iteration 8:   log pseudolikelihood = {res}-824.68093
{txt}Iteration 9:   log pseudolikelihood = {res}-824.68065
{txt}Iteration 10:  log pseudolikelihood = {res}-824.68055
{txt}Iteration 11:  log pseudolikelihood = {res}-824.68051
{txt}Iteration 12:  log pseudolikelihood = {res} -824.6805
{txt}Iteration 13:  log pseudolikelihood = {res} -824.6805
{txt}Iteration 14:  log pseudolikelihood = {res}-824.68049
{txt}Iteration 15:  log pseudolikelihood = {res}-824.68049
{txt}Iteration 16:  log pseudolikelihood = {res}-824.68049
{txt}Iteration 17:  log pseudolikelihood = {res}-824.68049
{txt}Iteration 18:  log pseudolikelihood = {res}-824.68049
{txt}Iteration 19:  log pseudolikelihood = {res}-824.68049
{txt}Iteration 20:  log pseudolikelihood = {res}-824.68049
{txt}Iteration 21:  log pseudolikelihood = {res}-824.68049
{txt}Iteration 22:  log pseudolikelihood = {res}-824.68049
{txt}Iteration 23:  log pseudolikelihood = {res}-824.68049
{txt}Iteration 24:  log pseudolikelihood = {res}-824.68049
{txt}Refining estimates:
Iteration 0:   log pseudolikelihood = {res}-824.68049

{txt}Cox regression -- Breslow method for ties

No. of subjects      = {res}      17,363             {txt}Number of obs    =  {res}    17,363
{txt}No. of failures      = {res}          92
{txt}Time at risk         = {res}      298917
                                                {txt}Wald chi2({res}28{txt})    =  {res}    103.66
{txt}Log pseudolikelihood =   {res}-824.68049             {txt}Prob > chi2      =  {res}    0.0000

{txt}{ralign 78:(Std. Err. adjusted for {res:376} clusters in hc_id)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}          _t{col 14}{c |} Haz. Ratio{col 26}   Std. Err.{col 38}      z{col 46}   P>|z|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 5}fullomn {c |}{col 14}{res}{space 2} .6138435{col 26}{space 2} .2920226{col 37}{space 1}   -1.03{col 46}{space 3}0.305{col 54}{space 4} .2416112{col 67}{space 3} 1.559546
{txt}{space 6}infomn {c |}{col 14}{res}{space 2} .1890334{col 26}{space 2}   .07991{col 37}{space 1}   -3.94{col 46}{space 3}0.000{col 54}{space 4} .0825488{col 67}{space 3}  .432879
{txt}{space 6}intomn {c |}{col 14}{res}{space 2} .9698389{col 26}{space 2} .3962438{col 37}{space 1}   -0.07{col 46}{space 3}0.940{col 54}{space 4} .4354388{col 67}{space 3} 2.160091
{txt}{space 4}c_15_hc2 {c |}{col 14}{res}{space 2}  1.18762{col 26}{space 2} .6641403{col 37}{space 1}    0.31{col 46}{space 3}0.758{col 54}{space 4}  .396889{col 67}{space 3} 3.553743
{txt}c_15_b_h_del {c |}{col 14}{res}{space 2} 1.552294{col 26}{space 2} 1.100574{col 37}{space 1}    0.62{col 46}{space 3}0.535{col 54}{space 4} .3867883{col 67}{space 3} 6.229807
{txt}c_15_b_h_s~s {c |}{col 14}{res}{space 2} 1.298835{col 26}{space 2} 1.410651{col 37}{space 1}    0.24{col 46}{space 3}0.810{col 54}{space 4} .1545512{col 67}{space 3} 10.91529
{txt}c_15_b_vis~d {c |}{col 14}{res}{space 2} .7948562{col 26}{space 2} .5770577{col 37}{space 1}   -0.32{col 46}{space 3}0.752{col 54}{space 4} .1915688{col 67}{space 3} 3.298014
{txt}{space 1}c_15_educyr {c |}{col 14}{res}{space 2}  .997419{col 26}{space 2} .0356591{col 37}{space 1}   -0.07{col 46}{space 3}0.942{col 54}{space 4} .9299208{col 67}{space 3} 1.069816
{txt}c_15_b_ass~x {c |}{col 14}{res}{space 2} .4258331{col 26}{space 2} .1343724{col 37}{space 1}   -2.71{col 46}{space 3}0.007{col 54}{space 4} .2294253{col 67}{space 3}  .790383
{txt}c_ful~15_hc2 {c |}{col 14}{res}{space 2} 1.604347{col 26}{space 2} 1.201744{col 37}{space 1}    0.63{col 46}{space 3}0.528{col 54}{space 4} .3695745{col 67}{space 3} 6.964577
{txt}c_fullomn1.. {c |}{col 14}{res}{space 2} .7333926{col 26}{space 2} .6258073{col 37}{space 1}   -0.36{col 46}{space 3}0.716{col 54}{space 4} .1377217{col 67}{space 3} 3.905447
{txt}c_fullomn1.. {c |}{col 14}{res}{space 2} 2.381999{col 26}{space 2} 3.469901{col 37}{space 1}    0.60{col 46}{space 3}0.551{col 54}{space 4} .1370822{col 67}{space 3} 41.39064
{txt}c_fullomn1.. {c |}{col 14}{res}{space 2} 1.292586{col 26}{space 2} 1.617523{col 37}{space 1}    0.21{col 46}{space 3}0.838{col 54}{space 4} .1112446{col 67}{space 3} 15.01897
{txt}c_fullomn1.. {c |}{col 14}{res}{space 2} .9276257{col 26}{space 2}   .05965{col 37}{space 1}   -1.17{col 46}{space 3}0.243{col 54}{space 4} .8177811{col 67}{space 3} 1.052225
{txt}c_fullomn1.. {c |}{col 14}{res}{space 2}  1.05883{col 26}{space 2} .5125441{col 37}{space 1}    0.12{col 46}{space 3}0.906{col 54}{space 4} .4100037{col 67}{space 3} 2.734414
{txt}c_infomn15~2 {c |}{col 14}{res}{space 2} 1.257601{col 26}{space 2} 1.001372{col 37}{space 1}    0.29{col 46}{space 3}0.773{col 54}{space 4} .2641002{col 67}{space 3} 5.988483
{txt}c_infomn15~l {c |}{col 14}{res}{space 2} .5820467{col 26}{space 2} .5319712{col 37}{space 1}   -0.59{col 46}{space 3}0.554{col 54}{space 4} .0970483{col 67}{space 3} 3.490821
{txt}c_infomn15~s {c |}{col 14}{res}{space 2} 1.662425{col 26}{space 2} 2.456011{col 37}{space 1}    0.34{col 46}{space 3}0.731{col 54}{space 4} .0918767{col 67}{space 3} 30.08005
{txt}c_infomn15~d {c |}{col 14}{res}{space 2} 2.67e+10{col 26}{space 2}        .{col 37}{space 1}       .{col 46}{space 3}    .{col 54}{space 4}        .{col 67}{space 3}        .
{txt}c_infomn15~r {c |}{col 14}{res}{space 2} .8811262{col 26}{space 2}  .062662{col 37}{space 1}   -1.78{col 46}{space 3}0.075{col 54}{space 4} .7664859{col 67}{space 3} 1.012913
{txt}c_infomn15~x {c |}{col 14}{res}{space 2} 1.717407{col 26}{space 2} .7760411{col 37}{space 1}    1.20{col 46}{space 3}0.231{col 54}{space 4} .7083414{col 67}{space 3} 4.163934
{txt}c_intomn15~2 {c |}{col 14}{res}{space 2} .5851485{col 26}{space 2} .5153837{col 37}{space 1}   -0.61{col 46}{space 3}0.543{col 54}{space 4} .1041237{col 67}{space 3} 3.288383
{txt}c_intomn15~l {c |}{col 14}{res}{space 2} .6166739{col 26}{space 2} .6175668{col 37}{space 1}   -0.48{col 46}{space 3}0.629{col 54}{space 4} .0866207{col 67}{space 3} 4.390254
{txt}c_intomn15~s {c |}{col 14}{res}{space 2} .5836335{col 26}{space 2} .7028403{col 37}{space 1}   -0.45{col 46}{space 3}0.655{col 54}{space 4} .0550911{col 67}{space 3} 6.182998
{txt}c_intomn15~d {c |}{col 14}{res}{space 2} .3730481{col 26}{space 2} .3677102{col 37}{space 1}   -1.00{col 46}{space 3}0.317{col 54}{space 4} .0540435{col 67}{space 3} 2.575055
{txt}c_intomn15~r {c |}{col 14}{res}{space 2} .9774053{col 26}{space 2} .0601666{col 37}{space 1}   -0.37{col 46}{space 3}0.710{col 54}{space 4}  .866317{col 67}{space 3} 1.102739
{txt}c_intomn15~x {c |}{col 14}{res}{space 2} 1.518082{col 26}{space 2} .6875855{col 37}{space 1}    0.92{col 46}{space 3}0.357{col 54}{space 4} .6248273{col 67}{space 3} 3.688334
{txt}e_birthmonth {c |}{col 14}{res}{space 2} .9622862{col 26}{space 2} .0275705{col 37}{space 1}   -1.34{col 46}{space 3}0.180{col 54}{space 4} .9097383{col 67}{space 3} 1.017869
{txt}b_mortrat~15 {c |}{col 14}{res}{space 2} .0348532{col 26}{space 2} .2083123{col 37}{space 1}   -0.56{col 46}{space 3}0.574{col 54}{space 4} 2.85e-07{col 67}{space 3} 4263.331
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

      Test of proportional-hazards assumption

      Time:  {res}Time
{txt}      {hline 12}{c TT}{hline 51}
                  {c |}       rho            chi2       df       Prob>chi2
      {hline 12}{c +}{hline 51}
      fullomn{col 19}{c |}{res}{col 25} 0.07574{col 37}     1.12{col 50}    1{col 64}0.2901
{txt}      infomn{col 19}{c |}{res}{col 25}-0.03355{col 37}     0.19{col 50}    1{col 64}0.6641
{txt}      intomn{col 19}{c |}{res}{col 25}-0.00828{col 37}     0.01{col 50}    1{col 64}0.9059
{txt}      c_15_hc2{col 19}{c |}{res}{col 25} 0.04390{col 37}     0.51{col 50}    1{col 64}0.4761
{txt}      c_15_b_h_del{col 19}{c |}{res}{col 25}-0.10040{col 37}     5.65{col 50}    1{col 64}0.0175
{txt}      c_15_b_h_s~s{col 19}{c |}{res}{col 25} 0.10969{col 37}     7.07{col 50}    1{col 64}0.0078
{txt}      c_15_b_vis~d{col 19}{c |}{res}{col 25} 0.06611{col 37}     1.65{col 50}    1{col 64}0.1984
{txt}      c_15_educyr{col 19}{c |}{res}{col 25} 0.00476{col 37}     0.00{col 50}    1{col 64}0.9746
{txt}      c_15_b_ass~x{col 19}{c |}{res}{col 25} 0.06487{col 37}     1.48{col 50}    1{col 64}0.2232
{txt}      c_ful~15_hc2{col 19}{c |}{res}{col 25} 0.07061{col 37}     1.02{col 50}    1{col 64}0.3128
{txt}      c_fullomn1..{col 19}{c |}{res}{col 25} 0.14954{col 37}     9.33{col 50}    1{col 64}0.0023
{txt}      c_fullomn1..{col 19}{c |}{res}{col 25}-0.16875{col 37}    10.55{col 50}    1{col 64}0.0012
{txt}      c_fullomn1..{col 19}{c |}{res}{col 25}-0.07127{col 37}     1.55{col 50}    1{col 64}0.2137
{txt}      c_fullomn1..{col 19}{c |}{res}{col 25}-0.04163{col 37}     0.15{col 50}    1{col 64}0.6987
{txt}      c_fullomn1..{col 19}{c |}{res}{col 25} 0.07925{col 37}     2.19{col 50}    1{col 64}0.1385
{txt}      c_infomn15~2{col 19}{c |}{res}{col 25} 0.04569{col 37}     0.48{col 50}    1{col 64}0.4875
{txt}      c_infomn15~l{col 19}{c |}{res}{col 25} 0.14167{col 37}     8.26{col 50}    1{col 64}0.0041
{txt}      c_infomn15~s{col 19}{c |}{res}{col 25}-0.05733{col 37}     1.38{col 50}    1{col 64}0.2404
{txt}      c_infomn15~d{col 19}{c |}{res}{col 25}       .{col 37}        .{col 50}    1{col 64}    .
{txt}      c_infomn15~r{col 19}{c |}{res}{col 25} 0.21353{col 37}     9.06{col 50}    1{col 64}0.0026
{txt}      c_infomn15~x{col 19}{c |}{res}{col 25}-0.14576{col 37}     5.34{col 50}    1{col 64}0.0208
{txt}      c_intomn15~2{col 19}{c |}{res}{col 25} 0.01960{col 37}     0.11{col 50}    1{col 64}0.7445
{txt}      c_intomn15~l{col 19}{c |}{res}{col 25} 0.12582{col 37}     6.29{col 50}    1{col 64}0.0121
{txt}      c_intomn15~s{col 19}{c |}{res}{col 25}-0.08396{col 37}     3.51{col 50}    1{col 64}0.0610
{txt}      c_intomn15~d{col 19}{c |}{res}{col 25}-0.00932{col 37}     0.03{col 50}    1{col 64}0.8676
{txt}      c_intomn15~r{col 19}{c |}{res}{col 25} 0.11189{col 37}     0.95{col 50}    1{col 64}0.3294
{txt}      c_intomn15~x{col 19}{c |}{res}{col 25}-0.03561{col 37}     0.39{col 50}    1{col 64}0.5336
{txt}      e_birthmonth{col 19}{c |}{res}{col 25}-0.12762{col 37}     3.57{col 50}    1{col 64}0.0590
{txt}      b_mortrat~15{col 19}{c |}{res}{col 25} 0.05972{col 37}     0.67{col 50}    1{col 64}0.4119
{txt}      {hline 12}{c +}{hline 51}
      global test {c |}{res}{col 37}    44.22{col 50}   28{col 64}0.0264
{txt}      {hline 12}{c BT}{hline 51}

note: robust variance-covariance matrix used.

{p 0 7}{space 1}{text:( 1)}{space 1} {res}infomn - intomn = 0{p_end}

{txt}{col 12}chi2(  1) ={res}   16.64
{txt}{col 10}Prob > chi2 =  {res}  0.0000

{txt}added scalar:
             e(f_wald) =  {res}.00004512

{p 0 7}{space 1}{text:( 1)}{space 1}{space 1}{res}- fullomn + infomn = 0{p_end}

{txt}{col 12}chi2(  1) ={res}    6.28
{txt}{col 10}Prob > chi2 =  {res}  0.0122

{txt}added scalar:
            e(f_wald1) =  {res}.01221095

{p 0 7}{space 1}{text:( 1)}{space 1}{space 1}{res}- fullomn + intomn = 0{p_end}

{txt}{col 12}chi2(  1) ={res}    0.98
{txt}{col 10}Prob > chi2 =  {res}  0.3232

{txt}added scalar:
            e(f_wald2) =  {res}.32321491

{p 0 7}{space 1}{text:( 1)}{space 1} fullomn = 0{p_end}
{p 0 7}{space 1}{text:( 2)}{space 1} infomn = 0{p_end}
{p 0 7}{space 1}{text:( 3)}{space 1} intomn = 0{p_end}

{txt}{col 12}chi2(  3) ={res}   21.37
{txt}{col 10}Prob > chi2 =  {res}  0.0001

{txt}added scalar:
                e(f_3) =  {res}21.37275

{txt}added scalar:
            e(f_wald3) =  {res}.00008808
{txt}
{com}.                 
.         # delimit;
{txt}delimiter now ;
{com}.                 esttab m1 m2 m3
>         using "${c -(}tables{c )-}/TableI45.tex", b(%5.3f) se(%5.3f) eform
>                 title(Child mortality at the child level)
>                 keep(fullomn infomn intomn)
>                 varlabels (fullomn "Full treatment" infomn "Information only" intomn "Interface only")
>                 starlevels(* .10 ** .05 *** .01)                
>                 mtitles("\textbf{c -(}\begin{c -(}tabular{c )-}[c]{c -(}@{c -(}{c )-}c@{c -(}{c )-}{c )-}0-5 years old\end{c -(}tabular{c )-}{c )-}"
>                                 "\textbf{c -(}\begin{c -(}tabular{c )-}[c]{c -(}@{c -(}{c )-}c@{c -(}{c )-}{c )-}0-1 year old\end{c -(}tabular{c )-}{c )-}"
>                                 "\textbf{c -(}\begin{c -(}tabular{c )-}[c]{c -(}@{c -(}{c )-}c@{c -(}{c )-}{c )-}1-5 years old\end{c -(}tabular{c )-}{c )-}")
>                 stats(N r2 f_wald f_wald1 f_wald2 hline f_3 f_wald3, labels("N" "R$^{c -(}2{c )-}$" "P-value (Information = Interface)" "P-value (Information = Full treatment)" "P-value (Interface = Full treatment)" "\hline" "F-test (joint significance of all 3 treatment groups)" "P-value (joint significance of all 3 treatment groups)") fmt(%9.0fc %9.3fc)) label booktabs nonotes replace
>         ;
{res}{txt}(output written to {browse  `"/Users/fredericcochinard/Dropbox/ACT_Health_JOP_replication_file/3.Tables and Figures/Tables/TableI45.tex"'})

{com}.                 # delimit cr
{txt}delimiter now cr
{com}.         
.         ***************************************************************************************
.         * Table I46: Robustness check – Excluding control variables interacted with treatment *
.         ***************************************************************************************
. 
.         * We include a version with only the basic set of controls due to collinearity
.         
.         eststo clear
{txt}
{com}.         
.         local y = 1
{txt}
{com}.         foreach bracket in 05 01 15{c -(}
{txt}  2{com}.                 
.                 stset e_survmonths_ab_`bracket', failure(dead_endline==1) id(childroster_id)
{txt}  3{com}.                 stcox fullomn infomn intomn `controls_`bracket'' e_birthmonth b_mortrate_`bracket' if e_agebracket_`bracket' == 1, vce(cluster hc_id)
{txt}  4{com}.                 
.                 stphtest, detail
{txt}  5{com}.                 
.                 test infomn = intomn
{txt}  6{com}.                 estadd scalar f_wald = r(p)
{txt}  7{com}.                 
.                 test infomn = fullomn
{txt}  8{com}.                 estadd scalar f_wald1 = r(p)
{txt}  9{com}.                 
.                 test intomn = fullomn
{txt} 10{com}.                 estadd scalar f_wald2 = r(p)
{txt} 11{com}.                 
.                 test fullomn infomn intomn
{txt} 12{com}.                 estadd scalar f_3 = r(chi2)
{txt} 13{com}.                 estadd scalar f_wald3 = r(p)
{txt} 14{com}.                 
.                 estimate store m`y'
{txt} 15{com}.                 
.                 local y = `y' + 1
{txt} 16{com}.                 
.                 {c )-}

                {txt}id:  {res}childroster_id
     {txt}failure event:  {res}dead_endline == 1
{txt}obs. time interval:  {res}(e_survmonths_ab_05[_n-1], e_survmonths_ab_05]
{txt} exit on or before:  {res}failure

{txt}{hline 78}
{res}      20478{txt}  total observations
{res}        107{txt}  event time missing (e_survmonths_ab_05>=.)         PROBABLE ERROR
{hline 78}
{res}      20371{txt}  observations remaining, representing
{res}      20371{txt}  subjects
{res}        229{txt}  failures in single-failure-per-subject data
{res}     371556{txt}  total analysis time at risk and under observation
                                                at risk from t = {res}        0
                                     {txt}earliest observed entry t = {res}        0
                                          {txt}last observed exit t = {res}       26

         {txt}failure _d:  {res}dead_endline == 1
   {txt}analysis time _t:  {res}e_survmonths_ab_05
                 {txt}id:  {res}childroster_id

{txt}Iteration 0:   log pseudolikelihood = {res}-2215.4336
{txt}Iteration 1:   log pseudolikelihood = {res}-2204.9013
{txt}Iteration 2:   log pseudolikelihood = {res}-2204.8222
{txt}Iteration 3:   log pseudolikelihood = {res}-2204.8221
{txt}Refining estimates:
Iteration 0:   log pseudolikelihood = {res}-2204.8221

{txt}Cox regression -- Breslow method for ties

No. of subjects      = {res}      20,371             {txt}Number of obs    =  {res}    20,371
{txt}No. of failures      = {res}         229
{txt}Time at risk         = {res}      371556
                                                {txt}Wald chi2({res}11{txt})    =  {res}     20.79
{txt}Log pseudolikelihood =   {res}-2204.8221             {txt}Prob > chi2      =  {res}    0.0356

{txt}{ralign 78:(Std. Err. adjusted for {res:376} clusters in hc_id)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}          _t{col 14}{c |} Haz. Ratio{col 26}   Std. Err.{col 38}      z{col 46}   P>|z|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 5}fullomn {c |}{col 14}{res}{space 2} 1.041736{col 26}{space 2} .2081561{col 37}{space 1}    0.20{col 46}{space 3}0.838{col 54}{space 4} .7041632{col 67}{space 3} 1.541139
{txt}{space 6}infomn {c |}{col 14}{res}{space 2} .8936254{col 26}{space 2} .1967797{col 37}{space 1}   -0.51{col 46}{space 3}0.610{col 54}{space 4}  .580387{col 67}{space 3} 1.375921
{txt}{space 6}intomn {c |}{col 14}{res}{space 2} 1.013367{col 26}{space 2} .2005009{col 37}{space 1}    0.07{col 46}{space 3}0.946{col 54}{space 4} .6876246{col 67}{space 3} 1.493421
{txt}{space 4}c_05_hc2 {c |}{col 14}{res}{space 2} 1.039643{col 26}{space 2} .1778594{col 37}{space 1}    0.23{col 46}{space 3}0.820{col 54}{space 4} .7434691{col 67}{space 3} 1.453803
{txt}c_05_b_h_del {c |}{col 14}{res}{space 2} 1.108121{col 26}{space 2} .1814655{col 37}{space 1}    0.63{col 46}{space 3}0.531{col 54}{space 4} .8038866{col 67}{space 3} 1.527494
{txt}c_05_b_h_s~s {c |}{col 14}{res}{space 2}  1.07918{col 26}{space 2} .2089021{col 37}{space 1}    0.39{col 46}{space 3}0.694{col 54}{space 4} .7384527{col 67}{space 3} 1.577121
{txt}c_05_b_vis~d {c |}{col 14}{res}{space 2} .6537949{col 26}{space 2} .1530999{col 37}{space 1}   -1.81{col 46}{space 3}0.070{col 54}{space 4} .4131566{col 67}{space 3}  1.03459
{txt}{space 1}c_05_educyr {c |}{col 14}{res}{space 2} .9580183{col 26}{space 2} .0145871{col 37}{space 1}   -2.82{col 46}{space 3}0.005{col 54}{space 4} .9298505{col 67}{space 3} .9870394
{txt}c_05_b_ass~x {c |}{col 14}{res}{space 2} .8469817{col 26}{space 2} .0774587{col 37}{space 1}   -1.82{col 46}{space 3}0.069{col 54}{space 4} .7079936{col 67}{space 3} 1.013255
{txt}e_birthmonth {c |}{col 14}{res}{space 2} .9821128{col 26}{space 2} .0182931{col 37}{space 1}   -0.97{col 46}{space 3}0.333{col 54}{space 4} .9469054{col 67}{space 3} 1.018629
{txt}b_mortrat~05 {c |}{col 14}{res}{space 2} 1.364473{col 26}{space 2} 1.593918{col 37}{space 1}    0.27{col 46}{space 3}0.790{col 54}{space 4} .1382384{col 67}{space 3} 13.46795
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

      Test of proportional-hazards assumption

      Time:  {res}Time
{txt}      {hline 12}{c TT}{hline 51}
                  {c |}       rho            chi2       df       Prob>chi2
      {hline 12}{c +}{hline 51}
      fullomn{col 19}{c |}{res}{col 25}-0.11169{col 37}     3.90{col 50}    1{col 64}0.0483
{txt}      infomn{col 19}{c |}{res}{col 25}-0.09496{col 37}     2.96{col 50}    1{col 64}0.0855
{txt}      intomn{col 19}{c |}{res}{col 25}-0.11420{col 37}     3.96{col 50}    1{col 64}0.0467
{txt}      c_05_hc2{col 19}{c |}{res}{col 25} 0.02995{col 37}     0.27{col 50}    1{col 64}0.6042
{txt}      c_05_b_h_del{col 19}{c |}{res}{col 25} 0.07502{col 37}     1.28{col 50}    1{col 64}0.2572
{txt}      c_05_b_h_s~s{col 19}{c |}{res}{col 25} 0.06956{col 37}     1.19{col 50}    1{col 64}0.2761
{txt}      c_05_b_vis~d{col 19}{c |}{res}{col 25}-0.01714{col 37}     0.07{col 50}    1{col 64}0.7862
{txt}      c_05_educyr{col 19}{c |}{res}{col 25}-0.04725{col 37}     0.41{col 50}    1{col 64}0.5238
{txt}      c_05_b_ass~x{col 19}{c |}{res}{col 25}-0.17674{col 37}    12.72{col 50}    1{col 64}0.0004
{txt}      e_birthmonth{col 19}{c |}{res}{col 25}-0.07113{col 37}     1.19{col 50}    1{col 64}0.2745
{txt}      b_mortrat~05{col 19}{c |}{res}{col 25} 0.03878{col 37}     0.45{col 50}    1{col 64}0.5006
{txt}      {hline 12}{c +}{hline 51}
      global test {c |}{res}{col 37}    25.92{col 50}   11{col 64}0.0067
{txt}      {hline 12}{c BT}{hline 51}

note: robust variance-covariance matrix used.

{p 0 7}{space 1}{text:( 1)}{space 1} {res}infomn - intomn = 0{p_end}

{txt}{col 12}chi2(  1) ={res}    0.38
{txt}{col 10}Prob > chi2 =  {res}  0.5372

{txt}added scalar:
             e(f_wald) =  {res}.53715976

{p 0 7}{space 1}{text:( 1)}{space 1}{space 1}{res}- fullomn + infomn = 0{p_end}

{txt}{col 12}chi2(  1) ={res}    0.57
{txt}{col 10}Prob > chi2 =  {res}  0.4500

{txt}added scalar:
            e(f_wald1) =  {res}.44995813

{p 0 7}{space 1}{text:( 1)}{space 1}{space 1}{res}- fullomn + intomn = 0{p_end}

{txt}{col 12}chi2(  1) ={res}    0.02
{txt}{col 10}Prob > chi2 =  {res}  0.8792

{txt}added scalar:
            e(f_wald2) =  {res}.87920348

{p 0 7}{space 1}{text:( 1)}{space 1} fullomn = 0{p_end}
{p 0 7}{space 1}{text:( 2)}{space 1} infomn = 0{p_end}
{p 0 7}{space 1}{text:( 3)}{space 1} intomn = 0{p_end}

{txt}{col 12}chi2(  3) ={res}    0.61
{txt}{col 10}Prob > chi2 =  {res}  0.8932

{txt}added scalar:
                e(f_3) =  {res}.61394144

{txt}added scalar:
            e(f_wald3) =  {res}.89323351

                {txt}id:  {res}childroster_id
     {txt}failure event:  {res}dead_endline == 1
{txt}obs. time interval:  {res}(e_survmonths_ab_01[_n-1], e_survmonths_ab_01]
{txt} exit on or before:  {res}failure

{txt}{hline 78}
{res}      20478{txt}  total observations
{res}      11307{txt}  event time missing (e_survmonths_ab_01>=.)         PROBABLE ERROR
{hline 78}
{res}       9171{txt}  observations remaining, representing
{res}       9171{txt}  subjects
{res}        180{txt}  failures in single-failure-per-subject data
{res}      72639{txt}  total analysis time at risk and under observation
                                                at risk from t = {res}        0
                                     {txt}earliest observed entry t = {res}        0
                                          {txt}last observed exit t = {res}       13

         {txt}failure _d:  {res}dead_endline == 1
   {txt}analysis time _t:  {res}e_survmonths_ab_01
                 {txt}id:  {res}childroster_id

{txt}Iteration 0:   log pseudolikelihood = {res}-1583.8538
{txt}Iteration 1:   log pseudolikelihood = {res}-1576.3556
{txt}Iteration 2:   log pseudolikelihood = {res}-1576.2923
{txt}Iteration 3:   log pseudolikelihood = {res}-1576.2923
{txt}Refining estimates:
Iteration 0:   log pseudolikelihood = {res}-1576.2923

{txt}Cox regression -- Breslow method for ties

No. of subjects      = {res}       9,171             {txt}Number of obs    =  {res}     9,171
{txt}No. of failures      = {res}         180
{txt}Time at risk         = {res}       72639
                                                {txt}Wald chi2({res}11{txt})    =  {res}     19.58
{txt}Log pseudolikelihood =   {res}-1576.2923             {txt}Prob > chi2      =  {res}    0.0514

{txt}{ralign 78:(Std. Err. adjusted for {res:376} clusters in hc_id)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}          _t{col 14}{c |} Haz. Ratio{col 26}   Std. Err.{col 38}      z{col 46}   P>|z|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 5}fullomn {c |}{col 14}{res}{space 2} 1.130627{col 26}{space 2} .2674084{col 37}{space 1}    0.52{col 46}{space 3}0.604{col 54}{space 4} .7112115{col 67}{space 3}  1.79738
{txt}{space 6}infomn {c |}{col 14}{res}{space 2} .9517353{col 26}{space 2} .2417574{col 37}{space 1}   -0.19{col 46}{space 3}0.846{col 54}{space 4} .5784903{col 67}{space 3}   1.5658
{txt}{space 6}intomn {c |}{col 14}{res}{space 2} 1.070735{col 26}{space 2} .2428563{col 37}{space 1}    0.30{col 46}{space 3}0.763{col 54}{space 4} .6864656{col 67}{space 3} 1.670111
{txt}{space 4}c_01_hc2 {c |}{col 14}{res}{space 2} .8215354{col 26}{space 2} .1536029{col 37}{space 1}   -1.05{col 46}{space 3}0.293{col 54}{space 4} .5694777{col 67}{space 3} 1.185157
{txt}c_01_b_h_del {c |}{col 14}{res}{space 2} 1.009118{col 26}{space 2} .1874799{col 37}{space 1}    0.05{col 46}{space 3}0.961{col 54}{space 4} .7011337{col 67}{space 3}  1.45239
{txt}c_01_b_h_s~s {c |}{col 14}{res}{space 2} .9254662{col 26}{space 2} .1935804{col 37}{space 1}   -0.37{col 46}{space 3}0.711{col 54}{space 4} .6142062{col 67}{space 3} 1.394463
{txt}c_01_b_vis~d {c |}{col 14}{res}{space 2} .6198032{col 26}{space 2} .1564055{col 37}{space 1}   -1.90{col 46}{space 3}0.058{col 54}{space 4} .3779685{col 67}{space 3} 1.016371
{txt}{space 1}c_01_educyr {c |}{col 14}{res}{space 2} .9420634{col 26}{space 2} .0158913{col 37}{space 1}   -3.54{col 46}{space 3}0.000{col 54}{space 4} .9114262{col 67}{space 3} .9737304
{txt}c_01_b_ass~x {c |}{col 14}{res}{space 2} .9875037{col 26}{space 2} .0939683{col 37}{space 1}   -0.13{col 46}{space 3}0.895{col 54}{space 4} .8194842{col 67}{space 3} 1.189972
{txt}e_birthmonth {c |}{col 14}{res}{space 2} .9964089{col 26}{space 2} .0209654{col 37}{space 1}   -0.17{col 46}{space 3}0.864{col 54}{space 4} .9561533{col 67}{space 3} 1.038359
{txt}b_mortrat~01 {c |}{col 14}{res}{space 2} 2.634858{col 26}{space 2} 3.391939{col 37}{space 1}    0.75{col 46}{space 3}0.452{col 54}{space 4} .2113381{col 67}{space 3}  32.8501
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

      Test of proportional-hazards assumption

      Time:  {res}Time
{txt}      {hline 12}{c TT}{hline 51}
                  {c |}       rho            chi2       df       Prob>chi2
      {hline 12}{c +}{hline 51}
      fullomn{col 19}{c |}{res}{col 25}-0.00464{col 37}     0.01{col 50}    1{col 64}0.9410
{txt}      infomn{col 19}{c |}{res}{col 25}-0.01526{col 37}     0.06{col 50}    1{col 64}0.8072
{txt}      intomn{col 19}{c |}{res}{col 25}-0.00617{col 37}     0.01{col 50}    1{col 64}0.9227
{txt}      c_01_hc2{col 19}{c |}{res}{col 25}-0.04688{col 37}     0.51{col 50}    1{col 64}0.4748
{txt}      c_01_b_h_del{col 19}{c |}{res}{col 25} 0.02065{col 37}     0.07{col 50}    1{col 64}0.7915
{txt}      c_01_b_h_s~s{col 19}{c |}{res}{col 25} 0.03689{col 37}     0.25{col 50}    1{col 64}0.6169
{txt}      c_01_b_vis~d{col 19}{c |}{res}{col 25}-0.04969{col 37}     0.53{col 50}    1{col 64}0.4686
{txt}      c_01_educyr{col 19}{c |}{res}{col 25}-0.16073{col 37}     4.05{col 50}    1{col 64}0.0441
{txt}      c_01_b_ass~x{col 19}{c |}{res}{col 25}-0.04944{col 37}     0.72{col 50}    1{col 64}0.3956
{txt}      e_birthmonth{col 19}{c |}{res}{col 25}-0.05669{col 37}     0.56{col 50}    1{col 64}0.4555
{txt}      b_mortrat~01{col 19}{c |}{res}{col 25}-0.08541{col 37}     1.76{col 50}    1{col 64}0.1842
{txt}      {hline 12}{c +}{hline 51}
      global test {c |}{res}{col 37}     9.68{col 50}   11{col 64}0.5590
{txt}      {hline 12}{c BT}{hline 51}

note: robust variance-covariance matrix used.

{p 0 7}{space 1}{text:( 1)}{space 1} {res}infomn - intomn = 0{p_end}

{txt}{col 12}chi2(  1) ={res}    0.28
{txt}{col 10}Prob > chi2 =  {res}  0.5952

{txt}added scalar:
             e(f_wald) =  {res}.59517934

{p 0 7}{space 1}{text:( 1)}{space 1}{space 1}{res}- fullomn + infomn = 0{p_end}

{txt}{col 12}chi2(  1) ={res}    0.57
{txt}{col 10}Prob > chi2 =  {res}  0.4519

{txt}added scalar:
            e(f_wald1) =  {res}.45185251

{p 0 7}{space 1}{text:( 1)}{space 1}{space 1}{res}- fullomn + intomn = 0{p_end}

{txt}{col 12}chi2(  1) ={res}    0.07
{txt}{col 10}Prob > chi2 =  {res}  0.7866

{txt}added scalar:
            e(f_wald2) =  {res}.78658228

{p 0 7}{space 1}{text:( 1)}{space 1} fullomn = 0{p_end}
{p 0 7}{space 1}{text:( 2)}{space 1} infomn = 0{p_end}
{p 0 7}{space 1}{text:( 3)}{space 1} intomn = 0{p_end}

{txt}{col 12}chi2(  3) ={res}    0.66
{txt}{col 10}Prob > chi2 =  {res}  0.8831

{txt}added scalar:
                e(f_3) =  {res}.657759

{txt}added scalar:
            e(f_wald3) =  {res}.88309154

                {txt}id:  {res}childroster_id
     {txt}failure event:  {res}dead_endline == 1
{txt}obs. time interval:  {res}(e_survmonths_ab_15[_n-1], e_survmonths_ab_15]
{txt} exit on or before:  {res}failure

{txt}{hline 78}
{res}      20478{txt}  total observations
{res}       3115{txt}  event time missing (e_survmonths_ab_15>=.)         PROBABLE ERROR
{hline 78}
{res}      17363{txt}  observations remaining, representing
{res}      17363{txt}  subjects
{res}         92{txt}  failures in single-failure-per-subject data
{res}     298917{txt}  total analysis time at risk and under observation
                                                at risk from t = {res}        0
                                     {txt}earliest observed entry t = {res}        0
                                          {txt}last observed exit t = {res}       26

         {txt}failure _d:  {res}dead_endline == 1
   {txt}analysis time _t:  {res}e_survmonths_ab_15
                 {txt}id:  {res}childroster_id

{txt}Iteration 0:   log pseudolikelihood = {res}-854.53601
{txt}Iteration 1:   log pseudolikelihood = {res}-833.09615
{txt}Iteration 2:   log pseudolikelihood = {res}-832.41818
{txt}Iteration 3:   log pseudolikelihood = {res}-832.41713
{txt}Refining estimates:
Iteration 0:   log pseudolikelihood = {res}-832.41713

{txt}Cox regression -- Breslow method for ties

No. of subjects      = {res}      17,363             {txt}Number of obs    =  {res}    17,363
{txt}No. of failures      = {res}          92
{txt}Time at risk         = {res}      298917
                                                {txt}Wald chi2({res}11{txt})    =  {res}     44.67
{txt}Log pseudolikelihood =   {res}-832.41713             {txt}Prob > chi2      =  {res}    0.0000

{txt}{ralign 78:(Std. Err. adjusted for {res:376} clusters in hc_id)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}          _t{col 14}{c |} Haz. Ratio{col 26}   Std. Err.{col 38}      z{col 46}   P>|z|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 5}fullomn {c |}{col 14}{res}{space 2} .7463313{col 26}{space 2} .2269659{col 37}{space 1}   -0.96{col 46}{space 3}0.336{col 54}{space 4} .4112196{col 67}{space 3} 1.354533
{txt}{space 6}infomn {c |}{col 14}{res}{space 2} .7303793{col 26}{space 2}  .236198{col 37}{space 1}   -0.97{col 46}{space 3}0.331{col 54}{space 4} .3875052{col 67}{space 3} 1.376637
{txt}{space 6}intomn {c |}{col 14}{res}{space 2} .7686579{col 26}{space 2} .2451282{col 37}{space 1}   -0.83{col 46}{space 3}0.409{col 54}{space 4} .4114162{col 67}{space 3}   1.4361
{txt}{space 4}c_15_hc2 {c |}{col 14}{res}{space 2} 1.239018{col 26}{space 2} .3523257{col 37}{space 1}    0.75{col 46}{space 3}0.451{col 54}{space 4} .7096279{col 67}{space 3} 2.163337
{txt}c_15_b_h_del {c |}{col 14}{res}{space 2} 1.166257{col 26}{space 2} .3348019{col 37}{space 1}    0.54{col 46}{space 3}0.592{col 54}{space 4} .6644111{col 67}{space 3} 2.047161
{txt}c_15_b_h_s~s {c |}{col 14}{res}{space 2} 1.438781{col 26}{space 2} .5677511{col 37}{space 1}    0.92{col 46}{space 3}0.357{col 54}{space 4} .6639047{col 67}{space 3} 3.118054
{txt}c_15_b_vis~d {c |}{col 14}{res}{space 2} .7612576{col 26}{space 2} .3221901{col 37}{space 1}   -0.64{col 46}{space 3}0.519{col 54}{space 4} .3321041{col 67}{space 3} 1.744974
{txt}{space 1}c_15_educyr {c |}{col 14}{res}{space 2} .9466614{col 26}{space 2} .0235137{col 37}{space 1}   -2.21{col 46}{space 3}0.027{col 54}{space 4} .9016792{col 67}{space 3} .9938877
{txt}c_15_b_ass~x {c |}{col 14}{res}{space 2} .5464652{col 26}{space 2} .0938024{col 37}{space 1}   -3.52{col 46}{space 3}0.000{col 54}{space 4} .3903474{col 67}{space 3} .7650217
{txt}e_birthmonth {c |}{col 14}{res}{space 2} .9606553{col 26}{space 2} .0273692{col 37}{space 1}   -1.41{col 46}{space 3}0.159{col 54}{space 4} .9084828{col 67}{space 3} 1.015824
{txt}b_mortrat~15 {c |}{col 14}{res}{space 2} .0184441{col 26}{space 2} .1138605{col 37}{space 1}   -0.65{col 46}{space 3}0.518{col 54}{space 4} 1.03e-07{col 67}{space 3} 3315.529
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

      Test of proportional-hazards assumption

      Time:  {res}Time
{txt}      {hline 12}{c TT}{hline 51}
                  {c |}       rho            chi2       df       Prob>chi2
      {hline 12}{c +}{hline 51}
      fullomn{col 19}{c |}{res}{col 25}-0.01624{col 37}     0.04{col 50}    1{col 64}0.8496
{txt}      infomn{col 19}{c |}{res}{col 25}-0.01670{col 37}     0.04{col 50}    1{col 64}0.8383
{txt}      intomn{col 19}{c |}{res}{col 25}-0.00800{col 37}     0.01{col 50}    1{col 64}0.9250
{txt}      c_15_hc2{col 19}{c |}{res}{col 25} 0.12032{col 37}     2.32{col 50}    1{col 64}0.1275
{txt}      c_15_b_h_del{col 19}{c |}{res}{col 25} 0.07295{col 37}     0.84{col 50}    1{col 64}0.3596
{txt}      c_15_b_h_s~s{col 19}{c |}{res}{col 25} 0.13481{col 37}     3.11{col 50}    1{col 64}0.0779
{txt}      c_15_b_vis~d{col 19}{c |}{res}{col 25} 0.06077{col 37}     0.56{col 50}    1{col 64}0.4554
{txt}      c_15_educyr{col 19}{c |}{res}{col 25} 0.23347{col 37}     5.07{col 50}    1{col 64}0.0244
{txt}      c_15_b_ass~x{col 19}{c |}{res}{col 25} 0.01831{col 37}     0.07{col 50}    1{col 64}0.7987
{txt}      e_birthmonth{col 19}{c |}{res}{col 25}-0.09002{col 37}     1.18{col 50}    1{col 64}0.2773
{txt}      b_mortrat~15{col 19}{c |}{res}{col 25} 0.06495{col 37}     0.54{col 50}    1{col 64}0.4637
{txt}      {hline 12}{c +}{hline 51}
      global test {c |}{res}{col 37}    12.45{col 50}   11{col 64}0.3309
{txt}      {hline 12}{c BT}{hline 51}

note: robust variance-covariance matrix used.

{p 0 7}{space 1}{text:( 1)}{space 1} {res}infomn - intomn = 0{p_end}

{txt}{col 12}chi2(  1) ={res}    0.02
{txt}{col 10}Prob > chi2 =  {res}  0.8756

{txt}added scalar:
             e(f_wald) =  {res}.87557384

{p 0 7}{space 1}{text:( 1)}{space 1}{space 1}{res}- fullomn + infomn = 0{p_end}

{txt}{col 12}chi2(  1) ={res}    0.00
{txt}{col 10}Prob > chi2 =  {res}  0.9443

{txt}added scalar:
            e(f_wald1) =  {res}.94431646

{p 0 7}{space 1}{text:( 1)}{space 1}{space 1}{res}- fullomn + intomn = 0{p_end}

{txt}{col 12}chi2(  1) ={res}    0.01
{txt}{col 10}Prob > chi2 =  {res}  0.9239

{txt}added scalar:
            e(f_wald2) =  {res}.92389205

{p 0 7}{space 1}{text:( 1)}{space 1} fullomn = 0{p_end}
{p 0 7}{space 1}{text:( 2)}{space 1} infomn = 0{p_end}
{p 0 7}{space 1}{text:( 3)}{space 1} intomn = 0{p_end}

{txt}{col 12}chi2(  3) ={res}    1.29
{txt}{col 10}Prob > chi2 =  {res}  0.7320

{txt}added scalar:
                e(f_3) =  {res}1.2878932

{txt}added scalar:
            e(f_wald3) =  {res}.73200995
{txt}
{com}.                         
.         # delimit;
{txt}delimiter now ;
{com}.                 esttab m1 m2 m3
>         using "${c -(}tables{c )-}/TableI46.tex", b(%5.3f) se(%5.3f) eform
>                 title(Child mortality at the child level -- no interaction control variable)
>                 keep(fullomn infomn intomn)
>                 varlabels (fullomn "Full treatment" infomn "Information only" intomn "Interface only")
>                 starlevels(* .10 ** .05 *** .01)                
>                 mtitles("\textbf{c -(}\begin{c -(}tabular{c )-}[c]{c -(}@{c -(}{c )-}c@{c -(}{c )-}{c )-}0-5 years old\end{c -(}tabular{c )-}{c )-}"
>                                 "\textbf{c -(}\begin{c -(}tabular{c )-}[c]{c -(}@{c -(}{c )-}c@{c -(}{c )-}{c )-}0-1 year old\end{c -(}tabular{c )-}{c )-}"
>                                 "\textbf{c -(}\begin{c -(}tabular{c )-}[c]{c -(}@{c -(}{c )-}c@{c -(}{c )-}{c )-}1-5 years old\end{c -(}tabular{c )-}{c )-}")
>                 stats(N r2 f_wald f_wald1 f_wald2 hline f_3 f_wald3, labels("N" "R$^{c -(}2{c )-}$" "P-value (Information = Interface)" "P-value (Information = Full treatment)" "P-value (Interface = Full treatment)" "\hline" "F-test (joint significance of all 3 treatment groups)" "P-value (joint significance of all 3 treatment groups)") fmt(%9.0fc %9.3fc)) label booktabs nonotes replace
>         ;
{res}{txt}(output written to {browse  `"/Users/fredericcochinard/Dropbox/ACT_Health_JOP_replication_file/3.Tables and Figures/Tables/TableI46.tex"'})

{com}.                 # delimit cr
{txt}delimiter now cr
{com}.         
.         **********************************************************
.         * Table I47: Intermediates outcomes – All treatment arms *
.         **********************************************************
. 
.         * We work on the coefficient plot and tables for the intermediate outcome indice
.         
.         use "${c -(}usedata{c )-}/chp_el_light_dataset.dta", clear
{txt}
{com}.         
.         * At endline:
.         
.         local intermediate ctzknow_z eff_z commresp_z relhhhc_z
{txt}
{com}.         local intermediate_hclevel h_hcpknow_z h_hctrans_z
{txt}
{com}. 
.         eststo clear
{txt}
{com}.         
.         local y = 1
{txt}
{com}.         
.         foreach x in `intermediate' {c -(}
{txt}  2{com}.                 
.                 areg  e_`x' fullomn infomn intomn b_`x' b_`x'_d `fullomn_int_e_controls' `e_controls' `infomn_int_e_controls' `intomn_int_e_controls', robust cl(hc_id) a(district)
{txt}  3{com}.                 
.                 test infomn = intomn
{txt}  4{com}.                 estadd scalar f_wald = r(p)
{txt}  5{com}.                 
.                 test infomn = fullomn
{txt}  6{com}.                 estadd scalar f_wald1 = r(p)
{txt}  7{com}.                 
.                 test intomn = fullomn
{txt}  8{com}.                 estadd scalar f_wald2 = r(p)
{txt}  9{com}.                 
.                 test fullomn infomn intomn
{txt} 10{com}.                 estadd scalar f_3 = r(F)
{txt} 11{com}.                 estadd scalar f_wald3 = r(p)
{txt} 12{com}.                 
.                 estimates store m`y'
{txt} 13{com}.                 
.                 local y = `y' + 1
{txt} 14{com}.                 
.                 {c )-}
{txt}note: b_ctzknow_z_d omitted because of collinearity
{res}
{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}    14,609
{txt}{col 49}F({res}  25{txt},{res}    375{txt}){col 67}= {res}     22.53
{txt}{col 49}Prob > F{col 67}= {res}    0.0000
{txt}{col 49}R-squared{col 67}= {res}    0.1764
{txt}{col 49}Adj R-squared{col 67}= {res}    0.1741
{txt}{col 49}Root MSE{col 67}= {res}    0.6183

{txt}{ralign 78:(Std. Err. adjusted for {res:376} clusters in hc_id)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1} e_ctzknow_z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 5}fullomn {c |}{col 14}{res}{space 2} -.065423{col 26}{space 2} .0299604{col 37}{space 1}   -2.18{col 46}{space 3}0.030{col 54}{space 4}-.1243345{col 67}{space 3}-.0065115
{txt}{space 6}infomn {c |}{col 14}{res}{space 2}-.0152002{col 26}{space 2} .0300692{col 37}{space 1}   -0.51{col 46}{space 3}0.613{col 54}{space 4}-.0743256{col 67}{space 3} .0439251
{txt}{space 6}intomn {c |}{col 14}{res}{space 2} -.043616{col 26}{space 2} .0286766{col 37}{space 1}   -1.52{col 46}{space 3}0.129{col 54}{space 4}-.1000031{col 67}{space 3} .0127711
{txt}{space 1}b_ctzknow_z {c |}{col 14}{res}{space 2} .0473203{col 26}{space 2} .0070353{col 37}{space 1}    6.73{col 46}{space 3}0.000{col 54}{space 4} .0334867{col 67}{space 3}  .061154
{txt}b_ctzknow_~d {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
c_full~n_hc2 {c |}{col 14}{res}{space 2}-.1770552{col 26}{space 2} .0392702{col 37}{space 1}   -4.51{col 46}{space 3}0.000{col 54}{space 4}-.2542726{col 67}{space 3}-.0998379
{txt}c_fullomn_.. {c |}{col 14}{res}{space 2} .0753507{col 26}{space 2} .0461826{col 37}{space 1}    1.63{col 46}{space 3}0.104{col 54}{space 4}-.0154586{col 67}{space 3}   .16616
{txt}c_fullomn_.. {c |}{col 14}{res}{space 2} .0245667{col 26}{space 2}  .058828{col 37}{space 1}    0.42{col 46}{space 3}0.676{col 54}{space 4}-.0911074{col 67}{space 3} .1402409
{txt}c_fullomn_.. {c |}{col 14}{res}{space 2} .0482734{col 26}{space 2} .0625158{col 37}{space 1}    0.77{col 46}{space 3}0.440{col 54}{space 4}-.0746521{col 67}{space 3} .1711989
{txt}c_f~n_educyr {c |}{col 14}{res}{space 2}-.0073165{col 26}{space 2}  .004232{col 37}{space 1}   -1.73{col 46}{space 3}0.085{col 54}{space 4} -.015638{col 67}{space 3} .0010049
{txt}c_fullomn_.. {c |}{col 14}{res}{space 2} .0034963{col 26}{space 2} .0186484{col 37}{space 1}    0.19{col 46}{space 3}0.851{col 54}{space 4}-.0331722{col 67}{space 3} .0401648
{txt}c_b_visite~d {c |}{col 14}{res}{space 2} .1600171{col 26}{space 2} .0418132{col 37}{space 1}    3.83{col 46}{space 3}0.000{col 54}{space 4} .0777995{col 67}{space 3} .2422348
{txt}{space 4}c_educyr {c |}{col 14}{res}{space 2} .0202941{col 26}{space 2} .0029119{col 37}{space 1}    6.97{col 46}{space 3}0.000{col 54}{space 4} .0145684{col 67}{space 3} .0260198
{txt}c_b_asseti~x {c |}{col 14}{res}{space 2} .0515509{col 26}{space 2} .0142647{col 37}{space 1}    3.61{col 46}{space 3}0.000{col 54}{space 4} .0235021{col 67}{space 3} .0795996
{txt}c_infomn_hc2 {c |}{col 14}{res}{space 2}-.1733182{col 26}{space 2} .0485497{col 37}{space 1}   -3.57{col 46}{space 3}0.000{col 54}{space 4} -.268782{col 67}{space 3}-.0778545
{txt}c_infomn_b~l {c |}{col 14}{res}{space 2} .0390041{col 26}{space 2} .0511641{col 37}{space 1}    0.76{col 46}{space 3}0.446{col 54}{space 4}-.0616004{col 67}{space 3} .1396086
{txt}c_infomn_b~s {c |}{col 14}{res}{space 2} .1129133{col 26}{space 2} .0451463{col 37}{space 1}    2.50{col 46}{space 3}0.013{col 54}{space 4} .0241417{col 67}{space 3} .2016849
{txt}c_infomn_b.. {c |}{col 14}{res}{space 2} -.052797{col 26}{space 2} .0592258{col 37}{space 1}   -0.89{col 46}{space 3}0.373{col 54}{space 4}-.1692533{col 67}{space 3} .0636592
{txt}c_infomn_e~r {c |}{col 14}{res}{space 2}-.0081629{col 26}{space 2} .0039023{col 37}{space 1}   -2.09{col 46}{space 3}0.037{col 54}{space 4}-.0158361{col 67}{space 3}-.0004897
{txt}c_infomn_b.. {c |}{col 14}{res}{space 2}-.0039916{col 26}{space 2} .0179978{col 37}{space 1}   -0.22{col 46}{space 3}0.825{col 54}{space 4} -.039381{col 67}{space 3} .0313977
{txt}c_intomn_hc2 {c |}{col 14}{res}{space 2}-.2701601{col 26}{space 2} .0366917{col 37}{space 1}   -7.36{col 46}{space 3}0.000{col 54}{space 4}-.3423073{col 67}{space 3}-.1980128
{txt}c_intomn_b~l {c |}{col 14}{res}{space 2}  .080969{col 26}{space 2} .0463991{col 37}{space 1}    1.75{col 46}{space 3}0.082{col 54}{space 4} -.010266{col 67}{space 3} .1722039
{txt}c_intomn_b~s {c |}{col 14}{res}{space 2}-.0668126{col 26}{space 2}  .049295{col 37}{space 1}   -1.36{col 46}{space 3}0.176{col 54}{space 4}-.1637419{col 67}{space 3} .0301167
{txt}c_intomn_b.. {c |}{col 14}{res}{space 2}-.0007658{col 26}{space 2} .0611665{col 37}{space 1}   -0.01{col 46}{space 3}0.990{col 54}{space 4}-.1210382{col 67}{space 3} .1195066
{txt}c_intomn_e~r {c |}{col 14}{res}{space 2}-.0102164{col 26}{space 2} .0039438{col 37}{space 1}   -2.59{col 46}{space 3}0.010{col 54}{space 4} -.017971{col 67}{space 3}-.0024617
{txt}c_intomn_b.. {c |}{col 14}{res}{space 2} .0019971{col 26}{space 2}  .019322{col 37}{space 1}    0.10{col 46}{space 3}0.918{col 54}{space 4}-.0359959{col 67}{space 3} .0399901
{txt}{space 7}_cons {c |}{col 14}{res}{space 2}-.0060341{col 26}{space 2} .0240497{col 37}{space 1}   -0.25{col 46}{space 3}0.802{col 54}{space 4}-.0533232{col 67}{space 3} .0412549
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}infomn - intomn = 0{p_end}

{txt}       F(  1,   375) ={res}    1.42
{txt}{col 13}Prob > F ={res}    0.2347

{txt}added scalar:
             e(f_wald) =  {res}.23465342

{p 0 7}{space 1}{text:( 1)}{space 1}{space 1}{res}- fullomn + infomn = 0{p_end}

{txt}       F(  1,   375) ={res}    3.89
{txt}{col 13}Prob > F ={res}    0.0494

{txt}added scalar:
            e(f_wald1) =  {res}.04942933

{p 0 7}{space 1}{text:( 1)}{space 1}{space 1}{res}- fullomn + intomn = 0{p_end}

{txt}       F(  1,   375) ={res}    0.86
{txt}{col 13}Prob > F ={res}    0.3533

{txt}added scalar:
            e(f_wald2) =  {res}.3533078

{p 0 7}{space 1}{text:( 1)}{space 1} fullomn = 0{p_end}
{p 0 7}{space 1}{text:( 2)}{space 1} infomn = 0{p_end}
{p 0 7}{space 1}{text:( 3)}{space 1} intomn = 0{p_end}

{txt}       F(  3,   375) ={res}    2.15
{txt}{col 13}Prob > F ={res}    0.0933

{txt}added scalar:
                e(f_3) =  {res}2.1523415

{txt}added scalar:
            e(f_wald3) =  {res}.09325659
{txt}note: b_eff_z_d omitted because of collinearity
{res}
{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}    14,609
{txt}{col 49}F({res}  25{txt},{res}    375{txt}){col 67}= {res}      9.20
{txt}{col 49}Prob > F{col 67}= {res}    0.0000
{txt}{col 49}R-squared{col 67}= {res}    0.0435
{txt}{col 49}Adj R-squared{col 67}= {res}    0.0409
{txt}{col 49}Root MSE{col 67}= {res}    0.6177

{txt}{ralign 78:(Std. Err. adjusted for {res:376} clusters in hc_id)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}     e_eff_z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 5}fullomn {c |}{col 14}{res}{space 2} -.021122{col 26}{space 2}  .023345{col 37}{space 1}   -0.90{col 46}{space 3}0.366{col 54}{space 4}-.0670255{col 67}{space 3} .0247815
{txt}{space 6}infomn {c |}{col 14}{res}{space 2} .0027548{col 26}{space 2} .0226817{col 37}{space 1}    0.12{col 46}{space 3}0.903{col 54}{space 4}-.0418444{col 67}{space 3}  .047354
{txt}{space 6}intomn {c |}{col 14}{res}{space 2}-.0125889{col 26}{space 2}  .021792{col 37}{space 1}   -0.58{col 46}{space 3}0.564{col 54}{space 4}-.0554386{col 67}{space 3} .0302609
{txt}{space 5}b_eff_z {c |}{col 14}{res}{space 2} .0711783{col 26}{space 2} .0079474{col 37}{space 1}    8.96{col 46}{space 3}0.000{col 54}{space 4} .0555512{col 67}{space 3} .0868054
{txt}{space 3}b_eff_z_d {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
c_full~n_hc2 {c |}{col 14}{res}{space 2}-.0049293{col 26}{space 2}  .038412{col 37}{space 1}   -0.13{col 46}{space 3}0.898{col 54}{space 4}-.0804593{col 67}{space 3} .0706007
{txt}c_fullomn_.. {c |}{col 14}{res}{space 2}-.0578219{col 26}{space 2} .0416933{col 37}{space 1}   -1.39{col 46}{space 3}0.166{col 54}{space 4}-.1398039{col 67}{space 3} .0241601
{txt}c_fullomn_.. {c |}{col 14}{res}{space 2}-.0037346{col 26}{space 2} .0556206{col 37}{space 1}   -0.07{col 46}{space 3}0.947{col 54}{space 4}-.1131019{col 67}{space 3} .1056328
{txt}c_fullomn_.. {c |}{col 14}{res}{space 2} .0861779{col 26}{space 2} .0637221{col 37}{space 1}    1.35{col 46}{space 3}0.177{col 54}{space 4}-.0391196{col 67}{space 3} .2114753
{txt}c_f~n_educyr {c |}{col 14}{res}{space 2}-.0049473{col 26}{space 2}  .003747{col 37}{space 1}   -1.32{col 46}{space 3}0.188{col 54}{space 4} -.012315{col 67}{space 3} .0024204
{txt}c_fullomn_.. {c |}{col 14}{res}{space 2}-.0135319{col 26}{space 2} .0178097{col 37}{space 1}   -0.76{col 46}{space 3}0.448{col 54}{space 4}-.0485514{col 67}{space 3} .0214875
{txt}c_b_visite~d {c |}{col 14}{res}{space 2} .0028467{col 26}{space 2} .0450122{col 37}{space 1}    0.06{col 46}{space 3}0.950{col 54}{space 4}-.0856613{col 67}{space 3} .0913547
{txt}{space 4}c_educyr {c |}{col 14}{res}{space 2} .0113573{col 26}{space 2} .0025606{col 37}{space 1}    4.44{col 46}{space 3}0.000{col 54}{space 4} .0063224{col 67}{space 3} .0163922
{txt}c_b_asseti~x {c |}{col 14}{res}{space 2} .0370722{col 26}{space 2} .0129929{col 37}{space 1}    2.85{col 46}{space 3}0.005{col 54}{space 4} .0115241{col 67}{space 3} .0626204
{txt}c_infomn_hc2 {c |}{col 14}{res}{space 2} .0771234{col 26}{space 2} .0388001{col 37}{space 1}    1.99{col 46}{space 3}0.048{col 54}{space 4} .0008303{col 67}{space 3} .1534165
{txt}c_infomn_b~l {c |}{col 14}{res}{space 2}-.0049148{col 26}{space 2} .0373582{col 37}{space 1}   -0.13{col 46}{space 3}0.895{col 54}{space 4}-.0783726{col 67}{space 3} .0685431
{txt}c_infomn_b~s {c |}{col 14}{res}{space 2} .0884518{col 26}{space 2}  .046448{col 37}{space 1}    1.90{col 46}{space 3}0.058{col 54}{space 4}-.0028794{col 67}{space 3}  .179783
{txt}c_infomn_b.. {c |}{col 14}{res}{space 2} .0813181{col 26}{space 2} .0669868{col 37}{space 1}    1.21{col 46}{space 3}0.226{col 54}{space 4}-.0503988{col 67}{space 3} .2130349
{txt}c_infomn_e~r {c |}{col 14}{res}{space 2}  -.00795{col 26}{space 2} .0035912{col 37}{space 1}   -2.21{col 46}{space 3}0.027{col 54}{space 4}-.0150115{col 67}{space 3}-.0008885
{txt}c_infomn_b.. {c |}{col 14}{res}{space 2}  .010072{col 26}{space 2} .0168478{col 37}{space 1}    0.60{col 46}{space 3}0.550{col 54}{space 4}-.0230561{col 67}{space 3}    .0432
{txt}c_intomn_hc2 {c |}{col 14}{res}{space 2}-.0187025{col 26}{space 2} .0344307{col 37}{space 1}   -0.54{col 46}{space 3}0.587{col 54}{space 4}-.0864039{col 67}{space 3}  .048999
{txt}c_intomn_b~l {c |}{col 14}{res}{space 2}-.0051267{col 26}{space 2} .0423656{col 37}{space 1}   -0.12{col 46}{space 3}0.904{col 54}{space 4}-.0884307{col 67}{space 3} .0781772
{txt}c_intomn_b~s {c |}{col 14}{res}{space 2}-.0482892{col 26}{space 2} .0507803{col 37}{space 1}   -0.95{col 46}{space 3}0.342{col 54}{space 4}-.1481389{col 67}{space 3} .0515605
{txt}c_intomn_b.. {c |}{col 14}{res}{space 2} .0488599{col 26}{space 2} .0663602{col 37}{space 1}    0.74{col 46}{space 3}0.462{col 54}{space 4}-.0816248{col 67}{space 3} .1793447
{txt}c_intomn_e~r {c |}{col 14}{res}{space 2}-.0079837{col 26}{space 2} .0038643{col 37}{space 1}   -2.07{col 46}{space 3}0.040{col 54}{space 4}-.0155821{col 67}{space 3}-.0003853
{txt}c_intomn_b.. {c |}{col 14}{res}{space 2} .0113517{col 26}{space 2} .0189527{col 37}{space 1}    0.60{col 46}{space 3}0.550{col 54}{space 4}-.0259152{col 67}{space 3} .0486186
{txt}{space 7}_cons {c |}{col 14}{res}{space 2}-.0010136{col 26}{space 2}  .015411{col 37}{space 1}   -0.07{col 46}{space 3}0.948{col 54}{space 4}-.0313165{col 67}{space 3} .0292893
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}infomn - intomn = 0{p_end}

{txt}       F(  1,   375) ={res}    0.46
{txt}{col 13}Prob > F ={res}    0.5004

{txt}added scalar:
             e(f_wald) =  {res}.50036505

{p 0 7}{space 1}{text:( 1)}{space 1}{space 1}{res}- fullomn + infomn = 0{p_end}

{txt}       F(  1,   375) ={res}    0.97
{txt}{col 13}Prob > F ={res}    0.3242

{txt}added scalar:
            e(f_wald1) =  {res}.32422048

{p 0 7}{space 1}{text:( 1)}{space 1}{space 1}{res}- fullomn + intomn = 0{p_end}

{txt}       F(  1,   375) ={res}    0.13
{txt}{col 13}Prob > F ={res}    0.7152

{txt}added scalar:
            e(f_wald2) =  {res}.71518713

{p 0 7}{space 1}{text:( 1)}{space 1} fullomn = 0{p_end}
{p 0 7}{space 1}{text:( 2)}{space 1} infomn = 0{p_end}
{p 0 7}{space 1}{text:( 3)}{space 1} intomn = 0{p_end}

{txt}       F(  3,   375) ={res}    0.44
{txt}{col 13}Prob > F ={res}    0.7230

{txt}added scalar:
                e(f_3) =  {res}.44208116

{txt}added scalar:
            e(f_wald3) =  {res}.72304753
{txt}note: b_commresp_z_d omitted because of collinearity
{res}
{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}    14,609
{txt}{col 49}F({res}  25{txt},{res}    375{txt}){col 67}= {res}      6.20
{txt}{col 49}Prob > F{col 67}= {res}    0.0000
{txt}{col 49}R-squared{col 67}= {res}    0.0466
{txt}{col 49}Adj R-squared{col 67}= {res}    0.0440
{txt}{col 49}Root MSE{col 67}= {res}    0.7274

{txt}{ralign 78:(Std. Err. adjusted for {res:376} clusters in hc_id)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}e_commresp_z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 5}fullomn {c |}{col 14}{res}{space 2}-.0109878{col 26}{space 2} .0210243{col 37}{space 1}   -0.52{col 46}{space 3}0.602{col 54}{space 4}-.0523281{col 67}{space 3} .0303525
{txt}{space 6}infomn {c |}{col 14}{res}{space 2} .0001398{col 26}{space 2} .0226233{col 37}{space 1}    0.01{col 46}{space 3}0.995{col 54}{space 4}-.0443448{col 67}{space 3} .0446243
{txt}{space 6}intomn {c |}{col 14}{res}{space 2}-.0244557{col 26}{space 2} .0213053{col 37}{space 1}   -1.15{col 46}{space 3}0.252{col 54}{space 4}-.0663484{col 67}{space 3} .0174371
{txt}b_commresp_z {c |}{col 14}{res}{space 2}  .066901{col 26}{space 2}  .009351{col 37}{space 1}    7.15{col 46}{space 3}0.000{col 54}{space 4} .0485141{col 67}{space 3}  .085288
{txt}b_commresp~d {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
c_full~n_hc2 {c |}{col 14}{res}{space 2} .1024166{col 26}{space 2} .0348017{col 37}{space 1}    2.94{col 46}{space 3}0.003{col 54}{space 4} .0339856{col 67}{space 3} .1708476
{txt}c_fullomn_.. {c |}{col 14}{res}{space 2} .0384067{col 26}{space 2} .0358724{col 37}{space 1}    1.07{col 46}{space 3}0.285{col 54}{space 4}-.0321296{col 67}{space 3}  .108943
{txt}c_fullomn_.. {c |}{col 14}{res}{space 2} .0107016{col 26}{space 2} .0312053{col 37}{space 1}    0.34{col 46}{space 3}0.732{col 54}{space 4}-.0506578{col 67}{space 3} .0720609
{txt}c_fullomn_.. {c |}{col 14}{res}{space 2}-.0283623{col 26}{space 2} .0710782{col 37}{space 1}   -0.40{col 46}{space 3}0.690{col 54}{space 4}-.1681241{col 67}{space 3} .1113996
{txt}c_f~n_educyr {c |}{col 14}{res}{space 2} .0054738{col 26}{space 2} .0045508{col 37}{space 1}    1.20{col 46}{space 3}0.230{col 54}{space 4}-.0034744{col 67}{space 3}  .014422
{txt}c_fullomn_.. {c |}{col 14}{res}{space 2} .0038424{col 26}{space 2} .0193969{col 37}{space 1}    0.20{col 46}{space 3}0.843{col 54}{space 4}-.0342978{col 67}{space 3} .0419826
{txt}c_b_visite~d {c |}{col 14}{res}{space 2}  .015683{col 26}{space 2} .0538779{col 37}{space 1}    0.29{col 46}{space 3}0.771{col 54}{space 4}-.0902577{col 67}{space 3} .1216237
{txt}{space 4}c_educyr {c |}{col 14}{res}{space 2} .0057616{col 26}{space 2} .0027124{col 37}{space 1}    2.12{col 46}{space 3}0.034{col 54}{space 4} .0004281{col 67}{space 3} .0110952
{txt}c_b_asseti~x {c |}{col 14}{res}{space 2} .0340924{col 26}{space 2} .0144722{col 37}{space 1}    2.36{col 46}{space 3}0.019{col 54}{space 4} .0056355{col 67}{space 3} .0625492
{txt}c_infomn_hc2 {c |}{col 14}{res}{space 2} .0596975{col 26}{space 2} .0420191{col 37}{space 1}    1.42{col 46}{space 3}0.156{col 54}{space 4}-.0229252{col 67}{space 3} .1423201
{txt}c_infomn_b~l {c |}{col 14}{res}{space 2}-.0036447{col 26}{space 2} .0452167{col 37}{space 1}   -0.08{col 46}{space 3}0.936{col 54}{space 4}-.0925548{col 67}{space 3} .0852654
{txt}c_infomn_b~s {c |}{col 14}{res}{space 2} .0369999{col 26}{space 2} .0370998{col 37}{space 1}    1.00{col 46}{space 3}0.319{col 54}{space 4}-.0359497{col 67}{space 3} .1099496
{txt}c_infomn_b.. {c |}{col 14}{res}{space 2} .0775471{col 26}{space 2} .0715188{col 37}{space 1}    1.08{col 46}{space 3}0.279{col 54}{space 4} -.063081{col 67}{space 3} .2181751
{txt}c_infomn_e~r {c |}{col 14}{res}{space 2}-.0013266{col 26}{space 2}  .004262{col 37}{space 1}   -0.31{col 46}{space 3}0.756{col 54}{space 4} -.009707{col 67}{space 3} .0070539
{txt}c_infomn_b.. {c |}{col 14}{res}{space 2} .0224318{col 26}{space 2}  .021088{col 37}{space 1}    1.06{col 46}{space 3}0.288{col 54}{space 4}-.0190336{col 67}{space 3} .0638973
{txt}c_intomn_hc2 {c |}{col 14}{res}{space 2} .0019824{col 26}{space 2} .0402531{col 37}{space 1}    0.05{col 46}{space 3}0.961{col 54}{space 4}-.0771676{col 67}{space 3} .0811324
{txt}c_intomn_b~l {c |}{col 14}{res}{space 2}-.0307623{col 26}{space 2} .0383117{col 37}{space 1}   -0.80{col 46}{space 3}0.423{col 54}{space 4}-.1060949{col 67}{space 3} .0445703
{txt}c_intomn_b~s {c |}{col 14}{res}{space 2}-.0641306{col 26}{space 2}  .035289{col 37}{space 1}   -1.82{col 46}{space 3}0.070{col 54}{space 4}-.1335198{col 67}{space 3} .0052586
{txt}c_intomn_b.. {c |}{col 14}{res}{space 2} .0928524{col 26}{space 2}  .081619{col 37}{space 1}    1.14{col 46}{space 3}0.256{col 54}{space 4}-.0676357{col 67}{space 3} .2533406
{txt}c_intomn_e~r {c |}{col 14}{res}{space 2}-.0036464{col 26}{space 2} .0041996{col 37}{space 1}   -0.87{col 46}{space 3}0.386{col 54}{space 4}-.0119041{col 67}{space 3} .0046113
{txt}c_intomn_b.. {c |}{col 14}{res}{space 2} .0199939{col 26}{space 2} .0204579{col 37}{space 1}    0.98{col 46}{space 3}0.329{col 54}{space 4}-.0202328{col 67}{space 3} .0602205
{txt}{space 7}_cons {c |}{col 14}{res}{space 2}-.0048881{col 26}{space 2} .0153657{col 37}{space 1}   -0.32{col 46}{space 3}0.751{col 54}{space 4}-.0351018{col 67}{space 3} .0253257
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}infomn - intomn = 0{p_end}

{txt}       F(  1,   375) ={res}    1.27
{txt}{col 13}Prob > F ={res}    0.2598

{txt}added scalar:
             e(f_wald) =  {res}.25983751

{p 0 7}{space 1}{text:( 1)}{space 1}{space 1}{res}- fullomn + infomn = 0{p_end}

{txt}       F(  1,   375) ={res}    0.27
{txt}{col 13}Prob > F ={res}    0.6048

{txt}added scalar:
            e(f_wald1) =  {res}.60483557

{p 0 7}{space 1}{text:( 1)}{space 1}{space 1}{res}- fullomn + intomn = 0{p_end}

{txt}       F(  1,   375) ={res}    0.44
{txt}{col 13}Prob > F ={res}    0.5076

{txt}added scalar:
            e(f_wald2) =  {res}.50755262

{p 0 7}{space 1}{text:( 1)}{space 1} fullomn = 0{p_end}
{p 0 7}{space 1}{text:( 2)}{space 1} infomn = 0{p_end}
{p 0 7}{space 1}{text:( 3)}{space 1} intomn = 0{p_end}

{txt}       F(  3,   375) ={res}    0.60
{txt}{col 13}Prob > F ={res}    0.6147

{txt}added scalar:
                e(f_3) =  {res}.60097935

{txt}added scalar:
            e(f_wald3) =  {res}.61471467
{txt}note: b_relhhhc_z_d omitted because of collinearity
{res}
{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}    14,609
{txt}{col 49}F({res}  25{txt},{res}    375{txt}){col 67}= {res}      4.63
{txt}{col 49}Prob > F{col 67}= {res}    0.0000
{txt}{col 49}R-squared{col 67}= {res}    0.0491
{txt}{col 49}Adj R-squared{col 67}= {res}    0.0464
{txt}{col 49}Root MSE{col 67}= {res}    0.5489

{txt}{ralign 78:(Std. Err. adjusted for {res:376} clusters in hc_id)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1} e_relhhhc_z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 5}fullomn {c |}{col 14}{res}{space 2} .0386145{col 26}{space 2} .0401048{col 37}{space 1}    0.96{col 46}{space 3}0.336{col 54}{space 4}-.0402441{col 67}{space 3}  .117473
{txt}{space 6}infomn {c |}{col 14}{res}{space 2} .0614735{col 26}{space 2} .0386269{col 37}{space 1}    1.59{col 46}{space 3}0.112{col 54}{space 4}-.0144789{col 67}{space 3}  .137426
{txt}{space 6}intomn {c |}{col 14}{res}{space 2} .0196512{col 26}{space 2} .0421825{col 37}{space 1}    0.47{col 46}{space 3}0.642{col 54}{space 4}-.0632927{col 67}{space 3} .1025951
{txt}{space 1}b_relhhhc_z {c |}{col 14}{res}{space 2} .1129502{col 26}{space 2} .0135355{col 37}{space 1}    8.34{col 46}{space 3}0.000{col 54}{space 4} .0863353{col 67}{space 3} .1395651
{txt}b_relhhhc_~d {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
c_full~n_hc2 {c |}{col 14}{res}{space 2}-.0299281{col 26}{space 2} .0718239{col 37}{space 1}   -0.42{col 46}{space 3}0.677{col 54}{space 4}-.1711561{col 67}{space 3} .1112999
{txt}c_fullomn_.. {c |}{col 14}{res}{space 2}-.0642855{col 26}{space 2} .0686406{col 37}{space 1}   -0.94{col 46}{space 3}0.350{col 54}{space 4}-.1992542{col 67}{space 3} .0706833
{txt}c_fullomn_.. {c |}{col 14}{res}{space 2} .1546851{col 26}{space 2} .0805469{col 37}{space 1}    1.92{col 46}{space 3}0.056{col 54}{space 4} -.003695{col 67}{space 3} .3130653
{txt}c_fullomn_.. {c |}{col 14}{res}{space 2}-.0560345{col 26}{space 2} .0544715{col 37}{space 1}   -1.03{col 46}{space 3}0.304{col 54}{space 4}-.1631424{col 67}{space 3} .0510735
{txt}c_f~n_educyr {c |}{col 14}{res}{space 2}-.0050862{col 26}{space 2} .0039671{col 37}{space 1}   -1.28{col 46}{space 3}0.201{col 54}{space 4}-.0128868{col 67}{space 3} .0027144
{txt}c_fullomn_.. {c |}{col 14}{res}{space 2} .0315224{col 26}{space 2} .0242499{col 37}{space 1}    1.30{col 46}{space 3}0.194{col 54}{space 4}-.0161605{col 67}{space 3} .0792052
{txt}c_b_visite~d {c |}{col 14}{res}{space 2} .1180959{col 26}{space 2} .0358098{col 37}{space 1}    3.30{col 46}{space 3}0.001{col 54}{space 4} .0476828{col 67}{space 3}  .188509
{txt}{space 4}c_educyr {c |}{col 14}{res}{space 2} .0015592{col 26}{space 2} .0031454{col 37}{space 1}    0.50{col 46}{space 3}0.620{col 54}{space 4}-.0046257{col 67}{space 3} .0077441
{txt}c_b_asseti~x {c |}{col 14}{res}{space 2}-.0156782{col 26}{space 2} .0177264{col 37}{space 1}   -0.88{col 46}{space 3}0.377{col 54}{space 4}-.0505338{col 67}{space 3} .0191773
{txt}c_infomn_hc2 {c |}{col 14}{res}{space 2} .1308313{col 26}{space 2}  .061366{col 37}{space 1}    2.13{col 46}{space 3}0.034{col 54}{space 4} .0101666{col 67}{space 3}  .251496
{txt}c_infomn_b~l {c |}{col 14}{res}{space 2} .0777464{col 26}{space 2} .0703877{col 37}{space 1}    1.10{col 46}{space 3}0.270{col 54}{space 4}-.0606576{col 67}{space 3} .2161505
{txt}c_infomn_b~s {c |}{col 14}{res}{space 2} .0065799{col 26}{space 2} .0640404{col 37}{space 1}    0.10{col 46}{space 3}0.918{col 54}{space 4}-.1193433{col 67}{space 3} .1325031
{txt}c_infomn_b.. {c |}{col 14}{res}{space 2}-.0781621{col 26}{space 2} .0531032{col 37}{space 1}   -1.47{col 46}{space 3}0.142{col 54}{space 4}-.1825794{col 67}{space 3} .0262552
{txt}c_infomn_e~r {c |}{col 14}{res}{space 2}-.0017224{col 26}{space 2} .0038722{col 37}{space 1}   -0.44{col 46}{space 3}0.657{col 54}{space 4}-.0093364{col 67}{space 3} .0058915
{txt}c_infomn_b.. {c |}{col 14}{res}{space 2} .0262966{col 26}{space 2} .0235146{col 37}{space 1}    1.12{col 46}{space 3}0.264{col 54}{space 4}-.0199403{col 67}{space 3} .0725336
{txt}c_intomn_hc2 {c |}{col 14}{res}{space 2} .0613843{col 26}{space 2} .0695186{col 37}{space 1}    0.88{col 46}{space 3}0.378{col 54}{space 4}-.0753109{col 67}{space 3} .1980795
{txt}c_intomn_b~l {c |}{col 14}{res}{space 2} .1481302{col 26}{space 2} .0907321{col 37}{space 1}    1.63{col 46}{space 3}0.103{col 54}{space 4}-.0302773{col 67}{space 3} .3265377
{txt}c_intomn_b~s {c |}{col 14}{res}{space 2} .0187772{col 26}{space 2} .0992171{col 37}{space 1}    0.19{col 46}{space 3}0.850{col 54}{space 4}-.1763145{col 67}{space 3} .2138689
{txt}c_intomn_b.. {c |}{col 14}{res}{space 2}-.0864475{col 26}{space 2} .0531553{col 37}{space 1}   -1.63{col 46}{space 3}0.105{col 54}{space 4}-.1909673{col 67}{space 3} .0180723
{txt}c_intomn_e~r {c |}{col 14}{res}{space 2} .0014576{col 26}{space 2} .0042269{col 37}{space 1}    0.34{col 46}{space 3}0.730{col 54}{space 4}-.0068538{col 67}{space 3} .0097691
{txt}c_intomn_b.. {c |}{col 14}{res}{space 2} .0462555{col 26}{space 2}  .026363{col 37}{space 1}    1.75{col 46}{space 3}0.080{col 54}{space 4}-.0055823{col 67}{space 3} .0980934
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} .0045881{col 26}{space 2} .0285246{col 37}{space 1}    0.16{col 46}{space 3}0.872{col 54}{space 4}-.0515001{col 67}{space 3} .0606763
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}infomn - intomn = 0{p_end}

{txt}       F(  1,   375) ={res}    1.05
{txt}{col 13}Prob > F ={res}    0.3063

{txt}added scalar:
             e(f_wald) =  {res}.30627437

{p 0 7}{space 1}{text:( 1)}{space 1}{space 1}{res}- fullomn + infomn = 0{p_end}

{txt}       F(  1,   375) ={res}    0.35
{txt}{col 13}Prob > F ={res}    0.5549

{txt}added scalar:
            e(f_wald1) =  {res}.55493727

{p 0 7}{space 1}{text:( 1)}{space 1}{space 1}{res}- fullomn + intomn = 0{p_end}

{txt}       F(  1,   375) ={res}    0.21
{txt}{col 13}Prob > F ={res}    0.6501

{txt}added scalar:
            e(f_wald2) =  {res}.65010284

{p 0 7}{space 1}{text:( 1)}{space 1} fullomn = 0{p_end}
{p 0 7}{space 1}{text:( 2)}{space 1} infomn = 0{p_end}
{p 0 7}{space 1}{text:( 3)}{space 1} intomn = 0{p_end}

{txt}       F(  3,   375) ={res}    0.92
{txt}{col 13}Prob > F ={res}    0.4328

{txt}added scalar:
                e(f_3) =  {res}.9167232

{txt}added scalar:
            e(f_wald3) =  {res}.43283832
{txt}
{com}.                 
.         * HC level outcome
.         
.         local y = 6
{txt}
{com}.         foreach x in `intermediate_hclevel' {c -(}
{txt}  2{com}.                 
.                 areg  e_`x' fullomn infomn intomn b_`x' b_`x'_d `fullomn_hc_int_e_controls' `e_controls_hc' `infomn_hc_int_e_controls' `intomn_hc_int_e_controls' if uniquehc == 1, robust a(district)
{txt}  3{com}.                 
.                 test infomn = intomn
{txt}  4{com}.                 estadd scalar f_wald = r(p)
{txt}  5{com}.                 
.                 test infomn = fullomn
{txt}  6{com}.                 estadd scalar f_wald1 = r(p)
{txt}  7{com}.                 
.                 test intomn = fullomn
{txt}  8{com}.                 estadd scalar f_wald2 = r(p)
{txt}  9{com}.                 
.                 test fullomn infomn intomn
{txt} 10{com}.                 estadd scalar f_3 = r(F)
{txt} 11{com}.                 estadd scalar f_wald3 = r(p)
{txt} 12{com}.                 
.                 estimates store m`y'
{txt} 13{com}.                 
.                 local y = `y' + 1
{txt} 14{com}.                 
.                 {c )-}
{p 0 6 2}{txt}note: b_h_hcpknow_z_d omitted because of collinearity{p_end}
{res}
{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}       376
{txt}{col 49}F({res}  28{txt},{res}    332{txt}){col 67}= {res}      1.86
{txt}{col 49}Prob > F{col 67}= {res}    0.0062
{txt}{col 49}R-squared{col 67}= {res}    0.1915
{txt}{col 49}Adj R-squared{col 67}= {res}    0.0868
{txt}{col 49}Root MSE{col 67}= {res}    0.7613

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}e_h_hcpkno~z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 5}fullomn {c |}{col 14}{res}{space 2} .1402679{col 26}{space 2} .1177318{col 37}{space 1}    1.19{col 46}{space 3}0.234{col 54}{space 4}-.0913265{col 67}{space 3} .3718623
{txt}{space 6}infomn {c |}{col 14}{res}{space 2}  .226326{col 26}{space 2} .1100728{col 37}{space 1}    2.06{col 46}{space 3}0.041{col 54}{space 4} .0097979{col 67}{space 3}  .442854
{txt}{space 6}intomn {c |}{col 14}{res}{space 2} .1069621{col 26}{space 2} .1095994{col 37}{space 1}    0.98{col 46}{space 3}0.330{col 54}{space 4}-.1086347{col 67}{space 3} .3225589
{txt}b_h_hcpkno~z {c |}{col 14}{res}{space 2} .0709298{col 26}{space 2}   .05802{col 37}{space 1}    1.22{col 46}{space 3}0.222{col 54}{space 4}-.0432033{col 67}{space 3} .1850629
{txt}b_h_hcpkno~d {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
c_full~c_hc2 {c |}{col 14}{res}{space 2} .0381044{col 26}{space 2} .2995431{col 37}{space 1}    0.13{col 46}{space 3}0.899{col 54}{space 4}-.5511373{col 67}{space 3} .6273461
{txt}c_fullomn_.. {c |}{col 14}{res}{space 2} .4124141{col 26}{space 2} .3088874{col 37}{space 1}    1.34{col 46}{space 3}0.183{col 54}{space 4}-.1952091{col 67}{space 3} 1.020037
{txt}c_fullomn_.. {c |}{col 14}{res}{space 2}-.7840546{col 26}{space 2} .3210934{col 37}{space 1}   -2.44{col 46}{space 3}0.015{col 54}{space 4}-1.415689{col 67}{space 3}-.1524205
{txt}c_fullomn_.. {c |}{col 14}{res}{space 2} .7146115{col 26}{space 2} 1.146698{col 37}{space 1}    0.62{col 46}{space 3}0.534{col 54}{space 4}-1.541098{col 67}{space 3} 2.970321
{txt}c_f~c_educyr {c |}{col 14}{res}{space 2} .0643065{col 26}{space 2} .1271873{col 37}{space 1}    0.51{col 46}{space 3}0.613{col 54}{space 4}-.1858881{col 67}{space 3}  .314501
{txt}c_fullomn_.. {c |}{col 14}{res}{space 2} .0349699{col 26}{space 2} .3393344{col 37}{space 1}    0.10{col 46}{space 3}0.918{col 54}{space 4}-.6325468{col 67}{space 3} .7024865
{txt}{space 4}c_hc_hc2 {c |}{col 14}{res}{space 2}-.4160327{col 26}{space 2} .2224664{col 37}{space 1}   -1.87{col 46}{space 3}0.062{col 54}{space 4}-.8536542{col 67}{space 3} .0215889
{txt}c_hc_b_h_del {c |}{col 14}{res}{space 2} -.134252{col 26}{space 2} .2315625{col 37}{space 1}   -0.58{col 46}{space 3}0.562{col 54}{space 4}-.5897666{col 67}{space 3} .3212627
{txt}c_hc_b_h_s~s {c |}{col 14}{res}{space 2}  .740154{col 26}{space 2} .2278288{col 37}{space 1}    3.25{col 46}{space 3}0.001{col 54}{space 4}  .291984{col 67}{space 3} 1.188324
{txt}c_hc_b_vis~d {c |}{col 14}{res}{space 2} .1755351{col 26}{space 2} .6866171{col 37}{space 1}    0.26{col 46}{space 3}0.798{col 54}{space 4}-1.175133{col 67}{space 3} 1.526204
{txt}{space 1}c_hc_educyr {c |}{col 14}{res}{space 2}-.0272269{col 26}{space 2} .0751547{col 37}{space 1}   -0.36{col 46}{space 3}0.717{col 54}{space 4}-.1750664{col 67}{space 3} .1206125
{txt}c_hc_b_ass~x {c |}{col 14}{res}{space 2}-.0080942{col 26}{space 2} .2374798{col 37}{space 1}   -0.03{col 46}{space 3}0.973{col 54}{space 4}-.4752491{col 67}{space 3} .4590607
{txt}c_info~c_hc2 {c |}{col 14}{res}{space 2} .3169009{col 26}{space 2} .2878675{col 37}{space 1}    1.10{col 46}{space 3}0.272{col 54}{space 4}-.2493734{col 67}{space 3} .8831752
{txt}c_infomn_h.. {c |}{col 14}{res}{space 2} .1646023{col 26}{space 2} .2811384{col 37}{space 1}    0.59{col 46}{space 3}0.559{col 54}{space 4}-.3884349{col 67}{space 3} .7176396
{txt}c_infomn_h.. {c |}{col 14}{res}{space 2}-.5951915{col 26}{space 2} .3085816{col 37}{space 1}   -1.93{col 46}{space 3}0.055{col 54}{space 4}-1.202213{col 67}{space 3} .0118301
{txt}c_infomn_h.. {c |}{col 14}{res}{space 2}-.7109958{col 26}{space 2} 1.115152{col 37}{space 1}   -0.64{col 46}{space 3}0.524{col 54}{space 4}-2.904649{col 67}{space 3} 1.482658
{txt}c_infomn_h.. {c |}{col 14}{res}{space 2} .1062621{col 26}{space 2} .1156001{col 37}{space 1}    0.92{col 46}{space 3}0.359{col 54}{space 4}-.1211389{col 67}{space 3}  .333663
{txt}c_infomn_h.. {c |}{col 14}{res}{space 2}-.2578433{col 26}{space 2} .2946913{col 37}{space 1}   -0.87{col 46}{space 3}0.382{col 54}{space 4} -.837541{col 67}{space 3} .3218543
{txt}c_into~c_hc2 {c |}{col 14}{res}{space 2} .1162296{col 26}{space 2} .2982736{col 37}{space 1}    0.39{col 46}{space 3}0.697{col 54}{space 4}-.4705149{col 67}{space 3}  .702974
{txt}c_intomn_h.. {c |}{col 14}{res}{space 2} .2500316{col 26}{space 2} .3012408{col 37}{space 1}    0.83{col 46}{space 3}0.407{col 54}{space 4}-.3425498{col 67}{space 3}  .842613
{txt}c_intomn_h.. {c |}{col 14}{res}{space 2}-.4170461{col 26}{space 2} .2944428{col 37}{space 1}   -1.42{col 46}{space 3}0.158{col 54}{space 4}-.9962549{col 67}{space 3} .1621627
{txt}c_intomn_h.. {c |}{col 14}{res}{space 2} .1631881{col 26}{space 2} 1.278671{col 37}{space 1}    0.13{col 46}{space 3}0.899{col 54}{space 4} -2.35213{col 67}{space 3} 2.678507
{txt}c_intomn_h.. {c |}{col 14}{res}{space 2}-.0101487{col 26}{space 2} .1098535{col 37}{space 1}   -0.09{col 46}{space 3}0.926{col 54}{space 4}-.2262454{col 67}{space 3}  .205948
{txt}c_intomn_h.. {c |}{col 14}{res}{space 2}-.1273349{col 26}{space 2} .3327155{col 37}{space 1}   -0.38{col 46}{space 3}0.702{col 54}{space 4}-.7818312{col 67}{space 3} .5271613
{txt}{space 7}_cons {c |}{col 14}{res}{space 2}-.0124411{col 26}{space 2} .0790458{col 37}{space 1}   -0.16{col 46}{space 3}0.875{col 54}{space 4}-.1679348{col 67}{space 3} .1430526
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}infomn - intomn = 0{p_end}

{txt}       F(  1,   332) ={res}    1.24
{txt}{col 13}Prob > F ={res}    0.2661

{txt}added scalar:
             e(f_wald) =  {res}.26607103

{p 0 7}{space 1}{text:( 1)}{space 1}{space 1}{res}- fullomn + infomn = 0{p_end}

{txt}       F(  1,   332) ={res}    0.56
{txt}{col 13}Prob > F ={res}    0.4567

{txt}added scalar:
            e(f_wald1) =  {res}.4566743

{p 0 7}{space 1}{text:( 1)}{space 1}{space 1}{res}- fullomn + intomn = 0{p_end}

{txt}       F(  1,   332) ={res}    0.08
{txt}{col 13}Prob > F ={res}    0.7717

{txt}added scalar:
            e(f_wald2) =  {res}.77172158

{p 0 7}{space 1}{text:( 1)}{space 1} fullomn = 0{p_end}
{p 0 7}{space 1}{text:( 2)}{space 1} infomn = 0{p_end}
{p 0 7}{space 1}{text:( 3)}{space 1} intomn = 0{p_end}

{txt}       F(  3,   332) ={res}    1.44
{txt}{col 13}Prob > F ={res}    0.2315

{txt}added scalar:
                e(f_3) =  {res}1.4379971

{txt}added scalar:
            e(f_wald3) =  {res}.2315486
{p 0 6 2}{txt}note: b_h_hctrans_z_d omitted because of collinearity{p_end}
{res}
{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}       376
{txt}{col 49}F({res}  28{txt},{res}    332{txt}){col 67}= {res}      6.81
{txt}{col 49}Prob > F{col 67}= {res}    0.0000
{txt}{col 49}R-squared{col 67}= {res}    0.4020
{txt}{col 49}Adj R-squared{col 67}= {res}    0.3245
{txt}{col 49}Root MSE{col 67}= {res}    0.5160

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}e_h_hctran~z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 5}fullomn {c |}{col 14}{res}{space 2} -.025939{col 26}{space 2} .0773265{col 37}{space 1}   -0.34{col 46}{space 3}0.737{col 54}{space 4}-.1780507{col 67}{space 3} .1261727
{txt}{space 6}infomn {c |}{col 14}{res}{space 2}-.1256721{col 26}{space 2} .0772592{col 37}{space 1}   -1.63{col 46}{space 3}0.105{col 54}{space 4}-.2776514{col 67}{space 3} .0263072
{txt}{space 6}intomn {c |}{col 14}{res}{space 2}-.1035283{col 26}{space 2} .0803464{col 37}{space 1}   -1.29{col 46}{space 3}0.198{col 54}{space 4}-.2615804{col 67}{space 3} .0545239
{txt}b_h_hctran~z {c |}{col 14}{res}{space 2} .1084558{col 26}{space 2} .0617405{col 37}{space 1}    1.76{col 46}{space 3}0.080{col 54}{space 4}-.0129962{col 67}{space 3} .2299077
{txt}b_h_hctran~d {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
c_full~c_hc2 {c |}{col 14}{res}{space 2} .0570509{col 26}{space 2} .2252253{col 37}{space 1}    0.25{col 46}{space 3}0.800{col 54}{space 4}-.3859977{col 67}{space 3} .5000994
{txt}c_fullomn_.. {c |}{col 14}{res}{space 2} .4196753{col 26}{space 2} .1766017{col 37}{space 1}    2.38{col 46}{space 3}0.018{col 54}{space 4} .0722758{col 67}{space 3} .7670747
{txt}c_fullomn_.. {c |}{col 14}{res}{space 2}-.1196533{col 26}{space 2} .2104092{col 37}{space 1}   -0.57{col 46}{space 3}0.570{col 54}{space 4}-.5335567{col 67}{space 3} .2942501
{txt}c_fullomn_.. {c |}{col 14}{res}{space 2}-1.376119{col 26}{space 2} .6432332{col 37}{space 1}   -2.14{col 46}{space 3}0.033{col 54}{space 4}-2.641445{col 67}{space 3}-.1107921
{txt}c_f~c_educyr {c |}{col 14}{res}{space 2} .0227095{col 26}{space 2} .0857033{col 37}{space 1}    0.26{col 46}{space 3}0.791{col 54}{space 4}-.1458805{col 67}{space 3} .1912995
{txt}c_fullomn_.. {c |}{col 14}{res}{space 2} .2635965{col 26}{space 2}  .251402{col 37}{space 1}    1.05{col 46}{space 3}0.295{col 54}{space 4}-.2309453{col 67}{space 3} .7581382
{txt}{space 4}c_hc_hc2 {c |}{col 14}{res}{space 2}-.6052929{col 26}{space 2} .1791565{col 37}{space 1}   -3.38{col 46}{space 3}0.001{col 54}{space 4}-.9577179{col 67}{space 3}-.2528678
{txt}c_hc_b_h_del {c |}{col 14}{res}{space 2}-.0519729{col 26}{space 2} .1324924{col 37}{space 1}   -0.39{col 46}{space 3}0.695{col 54}{space 4}-.3126034{col 67}{space 3} .2086576
{txt}c_hc_b_h_s~s {c |}{col 14}{res}{space 2} .1411719{col 26}{space 2} .1586915{col 37}{space 1}    0.89{col 46}{space 3}0.374{col 54}{space 4}-.1709958{col 67}{space 3} .4533396
{txt}c_hc_b_vis~d {c |}{col 14}{res}{space 2} .2734374{col 26}{space 2} .2919434{col 37}{space 1}    0.94{col 46}{space 3}0.350{col 54}{space 4}-.3008547{col 67}{space 3} .8477295
{txt}{space 1}c_hc_educyr {c |}{col 14}{res}{space 2}-.0003132{col 26}{space 2} .0583435{col 37}{space 1}   -0.01{col 46}{space 3}0.996{col 54}{space 4}-.1150827{col 67}{space 3} .1144564
{txt}c_hc_b_ass~x {c |}{col 14}{res}{space 2} .0400768{col 26}{space 2} .1789506{col 37}{space 1}    0.22{col 46}{space 3}0.823{col 54}{space 4}-.3119431{col 67}{space 3} .3920968
{txt}c_info~c_hc2 {c |}{col 14}{res}{space 2} .1246709{col 26}{space 2} .2104869{col 37}{space 1}    0.59{col 46}{space 3}0.554{col 54}{space 4}-.2893853{col 67}{space 3} .5387272
{txt}c_infomn_h.. {c |}{col 14}{res}{space 2} .0581284{col 26}{space 2} .1773802{col 37}{space 1}    0.33{col 46}{space 3}0.743{col 54}{space 4}-.2908024{col 67}{space 3} .4070592
{txt}c_infomn_h.. {c |}{col 14}{res}{space 2}-.0147283{col 26}{space 2} .2404435{col 37}{space 1}   -0.06{col 46}{space 3}0.951{col 54}{space 4}-.4877131{col 67}{space 3} .4582565
{txt}c_infomn_h.. {c |}{col 14}{res}{space 2}   -1.226{col 26}{space 2} 1.086407{col 37}{space 1}   -1.13{col 46}{space 3}0.260{col 54}{space 4} -3.36311{col 67}{space 3} .9111096
{txt}c_infomn_h.. {c |}{col 14}{res}{space 2} .0005309{col 26}{space 2} .0744341{col 37}{space 1}    0.01{col 46}{space 3}0.994{col 54}{space 4} -.145891{col 67}{space 3} .1469528
{txt}c_infomn_h.. {c |}{col 14}{res}{space 2} .1390397{col 26}{space 2} .2587102{col 37}{space 1}    0.54{col 46}{space 3}0.591{col 54}{space 4}-.3698782{col 67}{space 3} .6479576
{txt}c_into~c_hc2 {c |}{col 14}{res}{space 2} .1818416{col 26}{space 2} .2400258{col 37}{space 1}    0.76{col 46}{space 3}0.449{col 54}{space 4}-.2903216{col 67}{space 3} .6540047
{txt}c_intomn_h.. {c |}{col 14}{res}{space 2} .1141697{col 26}{space 2} .1835786{col 37}{space 1}    0.62{col 46}{space 3}0.534{col 54}{space 4}-.2469542{col 67}{space 3} .4752937
{txt}c_intomn_h.. {c |}{col 14}{res}{space 2}-.1031149{col 26}{space 2} .1818978{col 37}{space 1}   -0.57{col 46}{space 3}0.571{col 54}{space 4}-.4609325{col 67}{space 3} .2547027
{txt}c_intomn_h.. {c |}{col 14}{res}{space 2}-.2798178{col 26}{space 2} .9193056{col 37}{space 1}   -0.30{col 46}{space 3}0.761{col 54}{space 4}-2.088216{col 67}{space 3}  1.52858
{txt}c_intomn_h.. {c |}{col 14}{res}{space 2} .0705602{col 26}{space 2} .0799535{col 37}{space 1}    0.88{col 46}{space 3}0.378{col 54}{space 4}-.0867192{col 67}{space 3} .2278395
{txt}c_intomn_h.. {c |}{col 14}{res}{space 2}-.2242679{col 26}{space 2}  .258313{col 37}{space 1}   -0.87{col 46}{space 3}0.386{col 54}{space 4}-.7324045{col 67}{space 3} .2838687
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} -.009854{col 26}{space 2} .0546779{col 37}{space 1}   -0.18{col 46}{space 3}0.857{col 54}{space 4}-.1174128{col 67}{space 3} .0977048
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}infomn - intomn = 0{p_end}

{txt}       F(  1,   332) ={res}    0.08
{txt}{col 13}Prob > F ={res}    0.7835

{txt}added scalar:
             e(f_wald) =  {res}.78352352

{p 0 7}{space 1}{text:( 1)}{space 1}{space 1}{res}- fullomn + infomn = 0{p_end}

{txt}       F(  1,   332) ={res}    1.66
{txt}{col 13}Prob > F ={res}    0.1984

{txt}added scalar:
            e(f_wald1) =  {res}.19838251

{p 0 7}{space 1}{text:( 1)}{space 1}{space 1}{res}- fullomn + intomn = 0{p_end}

{txt}       F(  1,   332) ={res}    0.93
{txt}{col 13}Prob > F ={res}    0.3356

{txt}added scalar:
            e(f_wald2) =  {res}.33555392

{p 0 7}{space 1}{text:( 1)}{space 1} fullomn = 0{p_end}
{p 0 7}{space 1}{text:( 2)}{space 1} infomn = 0{p_end}
{p 0 7}{space 1}{text:( 3)}{space 1} intomn = 0{p_end}

{txt}       F(  3,   332) ={res}    1.19
{txt}{col 13}Prob > F ={res}    0.3121

{txt}added scalar:
                e(f_3) =  {res}1.1938478

{txt}added scalar:
            e(f_wald3) =  {res}.31208517
{txt}
{com}.                 
.         
.         # delimit;
{txt}delimiter now ;
{com}.                 esttab m1 m6 m2 m3 m4 m7
>         using "${c -(}tables{c )-}/TableI47.tex", b(%5.3f) se(%5.3f)
>                 title(Intermediates outcomes -- All treatments)
>                 keep(fullomn infomn intomn _cons)
>                 varlabels (fullomn "Full treatment" infomn "Information and mobilization only" intomn "Interface only" _cons "Constant")
>                 starlevels(* .10 ** .05 *** .01)                
>                 mtitles("\textbf{c -(}\begin{c -(}tabular{c )-}[c]{c -(}@{c -(}{c )-}c@{c -(}{c )-}{c )-}Citizen\\knowledge\end{c -(}tabular{c )-}{c )-}"
>                                 "\textbf{c -(}\begin{c -(}tabular{c )-}[c]{c -(}@{c -(}{c )-}c@{c -(}{c )-}{c )-}HC staff\\knowledge\end{c -(}tabular{c )-}{c )-}"
>                                 "\textbf{c -(}\begin{c -(}tabular{c )-}[c]{c -(}@{c -(}{c )-}c@{c -(}{c )-}{c )-}Efficacy\end{c -(}tabular{c )-}{c )-}"
>                                 "\textbf{c -(}\begin{c -(}tabular{c )-}[c]{c -(}@{c -(}{c )-}c@{c -(}{c )-}{c )-}Community\\responsibility\end{c -(}tabular{c )-}{c )-}"    
>                                 "\textbf{c -(}\begin{c -(}tabular{c )-}[c]{c -(}@{c -(}{c )-}c@{c -(}{c )-}{c )-}Relationship\end{c -(}tabular{c )-}{c )-}"
>                                 "\textbf{c -(}\begin{c -(}tabular{c )-}[c]{c -(}@{c -(}{c )-}c@{c -(}{c )-}{c )-}HC\\transparency\end{c -(}tabular{c )-}{c )-}")
>                 stats(N r2 f_wald f_wald1 f_wald2 hline f_3 f_wald3, labels("N" "R$^{c -(}2{c )-}$" "P-value (Information = Interface)" "P-value (Information = Full treatment)" "P-value (Interface = Full treatment)" "\hline" "F-test (joint significance of all 3 treatment groups)" "P-value (joint significance of all 3 treatment groups)") fmt(%9.0fc %9.3fc)) label booktabs nonotes replace
>         
>         ;
{res}{txt}(output written to {browse  `"/Users/fredericcochinard/Dropbox/ACT_Health_JOP_replication_file/3.Tables and Figures/Tables/TableI47.tex"'})

{com}.                 # delimit cr
{txt}delimiter now cr
{com}.         
.         *************************************************
.         * Table I48: Main outcomes – All treatment arms *
.         *************************************************
.         
.         * We create another arms called infointer which corresponds to the interraction term
.         
.         * Interface only & Information only
.         
.         gen treatinfint = (treatfull == 1)
{txt}
{com}.         la var treatinfint "Inter&Info - Not"
{txt}
{com}.         
.         * We create the new interaction for the endline
.         
.         local e_controls_noprefix hc2 b_h_del b_h_staff_houses b_visited_d educyr b_assetindex
{txt}
{com}.         
.         foreach x of local e_controls_noprefix {c -(}
{txt}  2{com}.         
.                 gen c_infint_`x' = treatinfint * c_`x'
{txt}  3{com}.                 lab var c_infint_`x' "Interaction term of contral variable `x' with interaction treatment"
{txt}  4{com}.                 
.                 gen c_infint_hc_`x' = treatinfint * c_hc_`x'
{txt}  5{com}.                 lab var c_infint_hc_`x' "Interaction term of contral variable `x' with interaction treatment at household level"
{txt}  6{com}.         
.                 
.                 {c )-}
{txt}(686 missing values generated)
note: label truncated to 80 characters
(686 missing values generated)
note: label truncated to 80 characters
(686 missing values generated)
note: label truncated to 80 characters
(686 missing values generated)
note: label truncated to 80 characters
(686 missing values generated)
note: label truncated to 80 characters
(686 missing values generated)
note: label truncated to 80 characters

{com}.                 
.         * Following the PAP, we need to set the following control variables
.         
.                 ** An indicator variable taking the value 1 if a health center is a HCII
.                 ** An indicator variable for whether the facility provides official delivery services
.                 ** An indicator variable for whether a health center has staff houses
.                 ** Whether household members report having used this health facility within the 12 months prior to the baseline
.                 ** Average education level of the female head of household in health center catchment area, measured in years of education
.                 ** Average household wealth level in the health center catchment area, calculated as the first component of a principal component analysis of the number of items of 17 assets (including cattle, radios, bicycles etc.) owned by the household.
.                 
.         local  e_controls_noprefix hc2 b_h_del b_h_staff_houses b_visited_d educyr b_assetindex
{txt}
{com}.                 
.         * We create the set of locals for the control variable for the main indices
.         
.         foreach x in e_ {c -(}
{txt}  2{com}.         
.                 local `x'controls
{txt}  3{com}.                 local `x'controls_hc
{txt}  4{com}.                 
.                 {c )-}
{txt}
{com}.                 
.         foreach var in treatinfint treatinfo treatinter {c -(}
{txt}  2{com}.                         
.                 local `var'_int_e_controls
{txt}  3{com}.                 local `var'_hc_int_e_controls
{txt}  4{com}.                 
.                 {c )-}
{txt}
{com}.                 
.                 
.         * We populate the set of locals for the control variable for the main indices
.         
.         foreach var of local e_controls_noprefix {c -(}
{txt}  2{com}.                 
.                 local e_controls `e_controls' c_`var'
{txt}  3{com}.                 local e_controls_hc `e_controls_hc' c_hc_`var'
{txt}  4{com}.                 
.                 {c )-}
{txt}
{com}.                                                 
.         foreach treat in infint treatinfo treatinter {c -(}
{txt}  2{com}.                 foreach var of local e_controls_noprefix {c -(}
{txt}  3{com}.                         local `treat'_int_e_controls ``treat'_int_e_controls' c_`treat'_`var'
{txt}  4{com}.                         local `treat'_hc_int_e_controls ``treat'_hc_int_e_controls' c_`treat'_hc_`var'
{txt}  5{com}.                         {c )-}
{txt}  6{com}.                 {c )-}
{txt}
{com}.                 
.         eststo clear
{txt}
{com}.         
.         * We regress our main indices
.         
.         foreach x in `indices' {c -(}
{txt}  2{com}.                 areg  e_`x' treatinfo treatinter treatinfint b_`x' b_`x'_d  `infint_int_e_controls' `e_controls' `treatinfo_int_e_controls' `treatinter_int_e_controls', robust cl(hc_id) a(district)
{txt}  3{com}.                 
.                 local n_1_`x' = string(`e(N)',"%9.0fc")
{txt}  4{com}.                 
.                 local r2_1_`x' = string(`e(r2)',"%9.3fc")
{txt}  5{com}.                 local est_1_`x' = string(_b[treatinfo],"%9.3fc")
{txt}  6{com}.                 local se_1_`x' = string(_se[treatinfo],"%9.3fc")
{txt}  7{com}.                 local p_1_`x' = (2 * ttail(e(df_r), abs(_b[treatinfo]/_se[treatinfo])))
{txt}  8{com}.                 
.                 gen s_1_1s_`x' = (`p_1_`x''<=0.1 & `p_1_`x''>0.05)
{txt}  9{com}.                 gen s_1_2s_`x' = (`p_1_`x''<=0.05 & `p_1_`x''>0.01)
{txt} 10{com}.                 gen s_1_3s_`x' = (`p_1_`x''<=0.01 & `p_1_`x''>=0)
{txt} 11{com}.         
.                 if s_1_1s_`x' == 1 {c -(}
{txt} 12{com}.                                 local est_1_`x' = "`est_1_`x''*"
{txt} 13{com}.                                 {c )-}
{txt} 14{com}.                                 
.                 if s_1_2s_`x' == 1 {c -(}
{txt} 15{com}.                                 local est_1_`x' = "`est_1_`x''**"
{txt} 16{com}.                                 {c )-}
{txt} 17{com}.                                 
.                 if s_1_3s_`x' == 1 {c -(}
{txt} 18{com}.                                 local est_1_`x' = "`est_1_`x''***"
{txt} 19{com}.                                 {c )-}
{txt} 20{com}.                 
.                 local est_2_`x' = string(_b[treatinter],"%9.3fc")
{txt} 21{com}.                 local se_2_`x' = string(_se[treatinter],"%9.3fc")
{txt} 22{com}.                 local p_2_`x' = (2 * ttail(e(df_r), abs(_b[treatinter]/_se[treatinter])))
{txt} 23{com}.                 
.                 gen s_2_1s_`x' = (`p_2_`x''<=0.1 & `p_2_`x''>0.05)
{txt} 24{com}.                 gen s_2_2s_`x' = (`p_2_`x''<=0.05 & `p_2_`x''>0.01)
{txt} 25{com}.                 gen s_2_3s_`x' = (`p_2_`x''<=0.01 & `p_2_`x''>=0)
{txt} 26{com}.         
.                 if s_2_1s_`x' == 1 {c -(}
{txt} 27{com}.                                 local est_2_`x' = "`est_2_`x''*"
{txt} 28{com}.                                 {c )-}
{txt} 29{com}.                                 
.                 if s_2_2s_`x' == 1 {c -(}
{txt} 30{com}.                                 local est_2_`x' = "`est_2_`x''**"
{txt} 31{com}.                                 {c )-}
{txt} 32{com}.                                 
.                 if s_2_3s_`x' == 1 {c -(}
{txt} 33{com}.                                 local est_2_`x' = "`est_2_`x''***"
{txt} 34{com}.                                 {c )-}
{txt} 35{com}.                 
.                 local e_3_`x' = string(_b[treatinfint],"%9.3fc")
{txt} 36{com}.                 local se_3_`x' = string(_se[treatinfint],"%9.3fc")
{txt} 37{com}.                 local p_3_`x' = (2 * ttail(e(df_r), abs(_b[treatinfint]/_se[treatinfint])))
{txt} 38{com}.                 
.                 gen s_3_1s_`x' = (`p_3_`x''<=0.1 & `p_3_`x''>0.05)
{txt} 39{com}.                 gen s_3_2s_`x' = (`p_3_`x''<=0.05 & `p_3_`x''>0.01)
{txt} 40{com}.                 gen s_3_3s_`x' = (`p_3_`x''<=0.01 & `p_3_`x''>=0)
{txt} 41{com}.         
.                 if s_3_1s_`x' == 1 {c -(}
{txt} 42{com}.                                 local e_3_`x' = "`e_3_`x''*"
{txt} 43{com}.                                 {c )-}
{txt} 44{com}.                                 
.                 if s_3_2s_`x' == 1 {c -(}
{txt} 45{com}.                                 local e_3_`x' = "`e_3_`x''**"
{txt} 46{com}.                                 {c )-}
{txt} 47{com}.                                 
.                 if s_3_3s_`x' == 1 {c -(}
{txt} 48{com}.                                 local e_3_`x' = "`e_3_`x''***"
{txt} 49{com}.                                 {c )-}
{txt} 50{com}.                                 
.                 local est_4_`x' = string(_b[_cons],"%9.3fc")
{txt} 51{com}.                 local se_4_`x' = string(_se[_cons],"%9.3fc")
{txt} 52{com}.                 local p_4_`x' = (2 * ttail(e(df_r), abs(_b[_cons]/_se[_cons])))
{txt} 53{com}.                 
.                 gen s_4_1s_`x' = (`p_4_`x''<=0.1 & `p_4_`x''>0.05)
{txt} 54{com}.                 gen s_4_2s_`x' = (`p_4_`x''<=0.05 & `p_4_`x''>0.01)
{txt} 55{com}.                 gen s_4_3s_`x' = (`p_4_`x''<=0.01 & `p_4_`x''>=0)
{txt} 56{com}.         
.                 if s_4_1s_`x' == 1 {c -(}
{txt} 57{com}.                                 local est_4_`x' = "`est_4_`x''*"
{txt} 58{com}.                                 {c )-}
{txt} 59{com}.                                 
.                 if s_4_2s_`x' == 1 {c -(}
{txt} 60{com}.                                 local est_4_`x' = "`est_4_`x''**"
{txt} 61{com}.                                 {c )-}
{txt} 62{com}.                                 
.                 if s_4_3s_`x' == 1 {c -(}
{txt} 63{com}.                                 local est_4_`x' = "`est_4_`x''***"
{txt} 64{com}.                                 {c )-}
{txt} 65{com}.         
.                 lincom treatinfo + treatinfint
{txt} 66{com}.                 local est_5_`x' = string(`r(estimate)',"%9.3fc")
{txt} 67{com}.                 local se_5_`x' = string(`r(se)',"%9.3fc")
{txt} 68{com}.                 local se_5_`x' = "(`se_5_`x'')"
{txt} 69{com}.                 test treatinfo + treatinfint = 0
{txt} 70{com}.                 local p_5_`x' = `r(p)'
{txt} 71{com}.                 
.                 gen s_5_1s_`x' = (`p_5_`x''<=0.1 & `p_5_`x''>0.05)
{txt} 72{com}.                 gen s_5_2s_`x' = (`p_5_`x''<=0.05 & `p_5_`x''>0.01)
{txt} 73{com}.                 gen s_5_3s_`x' = (`p_5_`x''<=0.01 & `p_5_`x''>=0)
{txt} 74{com}.         
.                 if s_5_1s_`x' == 1 {c -(}
{txt} 75{com}.                                 local est_5_`x' = "`est_5_`x''*"
{txt} 76{com}.                                 {c )-}
{txt} 77{com}.                                 
.                 if s_5_2s_`x' == 1 {c -(}
{txt} 78{com}.                                 local est_5_`x' = "`est_5_`x''**"
{txt} 79{com}.                                 {c )-}
{txt} 80{com}.                                 
.                 if s_5_3s_`x' == 1 {c -(}
{txt} 81{com}.                                 local est_5_`x' = "`est_5_`x''***"
{txt} 82{com}.                                 {c )-}
{txt} 83{com}.                 
.                 test treatinfo = treatinter
{txt} 84{com}.                 local f_wald_`x' = string(`r(p)',"%9.3fc")
{txt} 85{com}.                 
.                 drop s_*
{txt} 86{com}.                 {c )-}
{txt}note: b_urate_z_d omitted because of collinearity
{res}
{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}    14,609
{txt}{col 49}F({res}  28{txt},{res}    375{txt}){col 67}= {res}     62.96
{txt}{col 49}Prob > F{col 67}= {res}    0.0000
{txt}{col 49}R-squared{col 67}= {res}    0.2211
{txt}{col 49}Adj R-squared{col 67}= {res}    0.2188
{txt}{col 49}Root MSE{col 67}= {res}    0.6633

{txt}{ralign 78:(Std. Err. adjusted for {res:376} clusters in hc_id)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}   e_urate_z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatinfo {c |}{col 14}{res}{space 2} .0128522{col 26}{space 2} .0217116{col 37}{space 1}    0.59{col 46}{space 3}0.554{col 54}{space 4}-.0298396{col 67}{space 3} .0555439
{txt}{space 2}treatinter {c |}{col 14}{res}{space 2} .0538336{col 26}{space 2} .0216187{col 37}{space 1}    2.49{col 46}{space 3}0.013{col 54}{space 4} .0113245{col 67}{space 3} .0963427
{txt}{space 1}treatinfint {c |}{col 14}{res}{space 2}-.0392838{col 26}{space 2}  .031098{col 37}{space 1}   -1.26{col 46}{space 3}0.207{col 54}{space 4}-.1004321{col 67}{space 3} .0218645
{txt}{space 3}b_urate_z {c |}{col 14}{res}{space 2} .3579597{col 26}{space 2} .0106196{col 37}{space 1}   33.71{col 46}{space 3}0.000{col 54}{space 4} .3370784{col 67}{space 3} .3788411
{txt}{space 1}b_urate_z_d {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
c_infint_hc2 {c |}{col 14}{res}{space 2} .1287525{col 26}{space 2} .0730995{col 37}{space 1}    1.76{col 46}{space 3}0.079{col 54}{space 4}-.0149839{col 67}{space 3} .2724889
{txt}c_infint_b~l {c |}{col 14}{res}{space 2} .0921991{col 26}{space 2} .0782487{col 37}{space 1}    1.18{col 46}{space 3}0.239{col 54}{space 4}-.0616622{col 67}{space 3} .2460604
{txt}c_infint_b~s {c |}{col 14}{res}{space 2}-.0028013{col 26}{space 2} .0946216{col 37}{space 1}   -0.03{col 46}{space 3}0.976{col 54}{space 4}-.1888567{col 67}{space 3} .1832541
{txt}c_infint_b~d {c |}{col 14}{res}{space 2} .0665708{col 26}{space 2} .1117575{col 37}{space 1}    0.60{col 46}{space 3}0.552{col 54}{space 4}-.1531791{col 67}{space 3} .2863207
{txt}c_infint_e~r {c |}{col 14}{res}{space 2} .0006622{col 26}{space 2} .0057274{col 37}{space 1}    0.12{col 46}{space 3}0.908{col 54}{space 4}-.0105996{col 67}{space 3} .0119241
{txt}c_infint_b~x {c |}{col 14}{res}{space 2} .0142244{col 26}{space 2} .0262573{col 37}{space 1}    0.54{col 46}{space 3}0.588{col 54}{space 4}-.0374055{col 67}{space 3} .0658543
{txt}{space 7}c_hc2 {c |}{col 14}{res}{space 2} .0091262{col 26}{space 2} .0427413{col 37}{space 1}    0.21{col 46}{space 3}0.831{col 54}{space 4}-.0749165{col 67}{space 3} .0931689
{txt}{space 3}c_b_h_del {c |}{col 14}{res}{space 2} .0032833{col 26}{space 2} .0432831{col 37}{space 1}    0.08{col 46}{space 3}0.940{col 54}{space 4}-.0818247{col 67}{space 3} .0883913
{txt}c_b_h_staf~s {c |}{col 14}{res}{space 2} .0564006{col 26}{space 2} .0448169{col 37}{space 1}    1.26{col 46}{space 3}0.209{col 54}{space 4}-.0317234{col 67}{space 3} .1445246
{txt}c_b_visite~d {c |}{col 14}{res}{space 2} .1647553{col 26}{space 2} .0584394{col 37}{space 1}    2.82{col 46}{space 3}0.005{col 54}{space 4} .0498452{col 67}{space 3} .2796653
{txt}{space 4}c_educyr {c |}{col 14}{res}{space 2}-.0127582{col 26}{space 2} .0027763{col 37}{space 1}   -4.60{col 46}{space 3}0.000{col 54}{space 4}-.0182172{col 67}{space 3}-.0072992
{txt}c_b_asseti~x {c |}{col 14}{res}{space 2}-.0416626{col 26}{space 2}  .012563{col 37}{space 1}   -3.32{col 46}{space 3}0.001{col 54}{space 4}-.0663653{col 67}{space 3}-.0169598
{txt}c_trea~o_hc2 {c |}{col 14}{res}{space 2}-.0363187{col 26}{space 2} .0535939{col 37}{space 1}   -0.68{col 46}{space 3}0.498{col 54}{space 4}-.1417009{col 67}{space 3} .0690634
{txt}c_~o_b_h_del {c |}{col 14}{res}{space 2}-.0507424{col 26}{space 2} .0559131{col 37}{space 1}   -0.91{col 46}{space 3}0.365{col 54}{space 4}-.1606849{col 67}{space 3} .0592001
{txt}c_treatinf.. {c |}{col 14}{res}{space 2}-.0260335{col 26}{space 2} .0646104{col 37}{space 1}   -0.40{col 46}{space 3}0.687{col 54}{space 4}-.1530777{col 67}{space 3} .1010106
{txt}c_treatinf.. {c |}{col 14}{res}{space 2}-.1029783{col 26}{space 2}  .078014{col 37}{space 1}   -1.32{col 46}{space 3}0.188{col 54}{space 4} -.256378{col 67}{space 3} .0504214
{txt}c_t~o_educyr {c |}{col 14}{res}{space 2} .0033075{col 26}{space 2} .0039504{col 37}{space 1}    0.84{col 46}{space 3}0.403{col 54}{space 4}-.0044602{col 67}{space 3} .0110752
{txt}c_treatinf.. {c |}{col 14}{res}{space 2}-.0195299{col 26}{space 2}  .018296{col 37}{space 1}   -1.07{col 46}{space 3}0.286{col 54}{space 4}-.0555055{col 67}{space 3} .0164457
{txt}c_trea~r_hc2 {c |}{col 14}{res}{space 2}-.0923792{col 26}{space 2} .0559323{col 37}{space 1}   -1.65{col 46}{space 3}0.099{col 54}{space 4}-.2023595{col 67}{space 3} .0176011
{txt}c_~r_b_h_del {c |}{col 14}{res}{space 2}-.0301412{col 26}{space 2} .0552974{col 37}{space 1}   -0.55{col 46}{space 3}0.586{col 54}{space 4} -.138873{col 67}{space 3} .0785907
{txt}c_treatint.. {c |}{col 14}{res}{space 2}-.0378519{col 26}{space 2}  .060292{col 37}{space 1}   -0.63{col 46}{space 3}0.531{col 54}{space 4}-.1564047{col 67}{space 3} .0807009
{txt}c_treatint.. {c |}{col 14}{res}{space 2} .0102344{col 26}{space 2} .0803738{col 37}{space 1}    0.13{col 46}{space 3}0.899{col 54}{space 4}-.1478053{col 67}{space 3} .1682742
{txt}c_t~r_educyr {c |}{col 14}{res}{space 2}-.0011788{col 26}{space 2} .0039051{col 37}{space 1}   -0.30{col 46}{space 3}0.763{col 54}{space 4}-.0088575{col 67}{space 3} .0064999
{txt}c_treatint.. {c |}{col 14}{res}{space 2}-.0073811{col 26}{space 2} .0173292{col 37}{space 1}   -0.43{col 46}{space 3}0.670{col 54}{space 4}-.0414556{col 67}{space 3} .0266934
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} -.018188{col 26}{space 2} .0149585{col 37}{space 1}   -1.22{col 46}{space 3}0.225{col 54}{space 4}-.0476011{col 67}{space 3} .0112251
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatinfo + treatinfint = 0{p_end}

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}   e_urate_z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}(1) {c |}{col 14}{res}{space 2}-.0264317{col 26}{space 2} .0221901{col 37}{space 1}   -1.19{col 46}{space 3}0.234{col 54}{space 4}-.0700644{col 67}{space 3}  .017201
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatinfo + treatinfint = 0{p_end}

{txt}       F(  1,   375) ={res}    1.42
{txt}{col 13}Prob > F ={res}    0.2343

{p 0 7}{space 1}{text:( 1)}{space 1} treatinfo - treatinter = 0{p_end}

{txt}       F(  1,   375) ={res}    3.39
{txt}{col 13}Prob > F ={res}    0.0663
{txt}note: b_treatqual_z_d omitted because of collinearity
{res}
{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}    14,609
{txt}{col 49}F({res}  28{txt},{res}    375{txt}){col 67}= {res}      3.52
{txt}{col 49}Prob > F{col 67}= {res}    0.0000
{txt}{col 49}R-squared{col 67}= {res}    0.1018
{txt}{col 49}Adj R-squared{col 67}= {res}    0.0992
{txt}{col 49}Root MSE{col 67}= {res}    0.3559

{txt}{ralign 78:(Std. Err. adjusted for {res:376} clusters in hc_id)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}e_treatq~l_z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatinfo {c |}{col 14}{res}{space 2} .0128497{col 26}{space 2} .0293672{col 37}{space 1}    0.44{col 46}{space 3}0.662{col 54}{space 4}-.0448954{col 67}{space 3} .0705947
{txt}{space 2}treatinter {c |}{col 14}{res}{space 2}  .021551{col 26}{space 2} .0266646{col 37}{space 1}    0.81{col 46}{space 3}0.419{col 54}{space 4}-.0308799{col 67}{space 3} .0739819
{txt}{space 1}treatinfint {c |}{col 14}{res}{space 2} .0361896{col 26}{space 2} .0370242{col 37}{space 1}    0.98{col 46}{space 3}0.329{col 54}{space 4}-.0366115{col 67}{space 3} .1089906
{txt}b_treatq~l_z {c |}{col 14}{res}{space 2} .0864722{col 26}{space 2} .0157761{col 37}{space 1}    5.48{col 46}{space 3}0.000{col 54}{space 4} .0554515{col 67}{space 3}  .117493
{txt}b_trea~l_z_d {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
c_infint_hc2 {c |}{col 14}{res}{space 2}-.0119561{col 26}{space 2} .0951476{col 37}{space 1}   -0.13{col 46}{space 3}0.900{col 54}{space 4}-.1990459{col 67}{space 3} .1751337
{txt}c_infint_b~l {c |}{col 14}{res}{space 2}-.0450784{col 26}{space 2}  .100795{col 37}{space 1}   -0.45{col 46}{space 3}0.655{col 54}{space 4}-.2432727{col 67}{space 3} .1531159
{txt}c_infint_b~s {c |}{col 14}{res}{space 2}-.1239331{col 26}{space 2} .1184605{col 37}{space 1}   -1.05{col 46}{space 3}0.296{col 54}{space 4}-.3568632{col 67}{space 3}  .108997
{txt}c_infint_b~d {c |}{col 14}{res}{space 2} .0119671{col 26}{space 2} .0473372{col 37}{space 1}    0.25{col 46}{space 3}0.801{col 54}{space 4}-.0811125{col 67}{space 3} .1050467
{txt}c_infint_e~r {c |}{col 14}{res}{space 2}-.0036143{col 26}{space 2} .0032008{col 37}{space 1}   -1.13{col 46}{space 3}0.260{col 54}{space 4}-.0099082{col 67}{space 3} .0026795
{txt}c_infint_b~x {c |}{col 14}{res}{space 2} .0273429{col 26}{space 2} .0196109{col 37}{space 1}    1.39{col 46}{space 3}0.164{col 54}{space 4}-.0112183{col 67}{space 3}  .065904
{txt}{space 7}c_hc2 {c |}{col 14}{res}{space 2}-.0871306{col 26}{space 2} .0555692{col 37}{space 1}   -1.57{col 46}{space 3}0.118{col 54}{space 4} -.196397{col 67}{space 3} .0221357
{txt}{space 3}c_b_h_del {c |}{col 14}{res}{space 2}-.0309344{col 26}{space 2} .0607435{col 37}{space 1}   -0.51{col 46}{space 3}0.611{col 54}{space 4} -.150375{col 67}{space 3} .0885061
{txt}c_b_h_staf~s {c |}{col 14}{res}{space 2} .0798528{col 26}{space 2} .0616949{col 37}{space 1}    1.29{col 46}{space 3}0.196{col 54}{space 4}-.0414585{col 67}{space 3} .2011641
{txt}c_b_visite~d {c |}{col 14}{res}{space 2} .0071061{col 26}{space 2} .0253816{col 37}{space 1}    0.28{col 46}{space 3}0.780{col 54}{space 4} -.042802{col 67}{space 3} .0570142
{txt}{space 4}c_educyr {c |}{col 14}{res}{space 2}-.0030984{col 26}{space 2} .0016733{col 37}{space 1}   -1.85{col 46}{space 3}0.065{col 54}{space 4}-.0063886{col 67}{space 3} .0001918
{txt}c_b_asseti~x {c |}{col 14}{res}{space 2} .0053839{col 26}{space 2} .0090819{col 37}{space 1}    0.59{col 46}{space 3}0.554{col 54}{space 4}-.0124739{col 67}{space 3} .0232418
{txt}c_trea~o_hc2 {c |}{col 14}{res}{space 2} .0873946{col 26}{space 2} .0773869{col 37}{space 1}    1.13{col 46}{space 3}0.259{col 54}{space 4} -.064772{col 67}{space 3} .2395611
{txt}c_~o_b_h_del {c |}{col 14}{res}{space 2} .0603339{col 26}{space 2} .0846192{col 37}{space 1}    0.71{col 46}{space 3}0.476{col 54}{space 4}-.1060537{col 67}{space 3} .2267214
{txt}c_treatinf.. {c |}{col 14}{res}{space 2}-.0225253{col 26}{space 2} .0949444{col 37}{space 1}   -0.24{col 46}{space 3}0.813{col 54}{space 4}-.2092154{col 67}{space 3} .1641649
{txt}c_treatinf.. {c |}{col 14}{res}{space 2} .0156541{col 26}{space 2} .0344157{col 37}{space 1}    0.45{col 46}{space 3}0.649{col 54}{space 4}-.0520179{col 67}{space 3}  .083326
{txt}c_t~o_educyr {c |}{col 14}{res}{space 2} .0021137{col 26}{space 2} .0023538{col 37}{space 1}    0.90{col 46}{space 3}0.370{col 54}{space 4}-.0025147{col 67}{space 3} .0067421
{txt}c_treatinf.. {c |}{col 14}{res}{space 2}-.0199396{col 26}{space 2} .0146464{col 37}{space 1}   -1.36{col 46}{space 3}0.174{col 54}{space 4}-.0487389{col 67}{space 3} .0088598
{txt}c_trea~r_hc2 {c |}{col 14}{res}{space 2}-.0156314{col 26}{space 2} .0698785{col 37}{space 1}   -0.22{col 46}{space 3}0.823{col 54}{space 4}-.1530342{col 67}{space 3} .1217713
{txt}c_~r_b_h_del {c |}{col 14}{res}{space 2} .0336024{col 26}{space 2} .0737195{col 37}{space 1}    0.46{col 46}{space 3}0.649{col 54}{space 4}-.1113529{col 67}{space 3} .1785578
{txt}c_treatint.. {c |}{col 14}{res}{space 2}  .068649{col 26}{space 2} .0775256{col 37}{space 1}    0.89{col 46}{space 3}0.376{col 54}{space 4}-.0837903{col 67}{space 3} .2210883
{txt}c_treatint.. {c |}{col 14}{res}{space 2} .0137558{col 26}{space 2}  .035712{col 37}{space 1}    0.39{col 46}{space 3}0.700{col 54}{space 4}-.0564651{col 67}{space 3} .0839767
{txt}c_t~r_educyr {c |}{col 14}{res}{space 2} .0037795{col 26}{space 2}  .002241{col 37}{space 1}    1.69{col 46}{space 3}0.093{col 54}{space 4}-.0006269{col 67}{space 3} .0081859
{txt}c_treatint.. {c |}{col 14}{res}{space 2}-.0241482{col 26}{space 2} .0130866{col 37}{space 1}   -1.85{col 46}{space 3}0.066{col 54}{space 4}-.0498805{col 67}{space 3} .0015841
{txt}{space 7}_cons {c |}{col 14}{res}{space 2}-.0016216{col 26}{space 2} .0210647{col 37}{space 1}   -0.08{col 46}{space 3}0.939{col 54}{space 4}-.0430414{col 67}{space 3} .0397982
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatinfo + treatinfint = 0{p_end}

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}e_treatq~l_z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}(1) {c |}{col 14}{res}{space 2} .0490392{col 26}{space 2} .0227198{col 37}{space 1}    2.16{col 46}{space 3}0.032{col 54}{space 4} .0043651{col 67}{space 3} .0937134
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatinfo + treatinfint = 0{p_end}

{txt}       F(  1,   375) ={res}    4.66
{txt}{col 13}Prob > F ={res}    0.0315

{p 0 7}{space 1}{text:( 1)}{space 1} treatinfo - treatinter = 0{p_end}

{txt}       F(  1,   375) ={res}    0.11
{txt}{col 13}Prob > F ={res}    0.7398
{txt}note: b_patsat_z_d omitted because of collinearity
{res}
{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}    14,609
{txt}{col 49}F({res}  28{txt},{res}    375{txt}){col 67}= {res}      8.58
{txt}{col 49}Prob > F{col 67}= {res}    0.0000
{txt}{col 49}R-squared{col 67}= {res}    0.0403
{txt}{col 49}Adj R-squared{col 67}= {res}    0.0375
{txt}{col 49}Root MSE{col 67}= {res}    0.5732

{txt}{ralign 78:(Std. Err. adjusted for {res:376} clusters in hc_id)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}  e_patsat_z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatinfo {c |}{col 14}{res}{space 2} .0731348{col 26}{space 2} .0257782{col 37}{space 1}    2.84{col 46}{space 3}0.005{col 54}{space 4} .0224469{col 67}{space 3} .1238228
{txt}{space 2}treatinter {c |}{col 14}{res}{space 2} .0644432{col 26}{space 2} .0217943{col 37}{space 1}    2.96{col 46}{space 3}0.003{col 54}{space 4} .0215889{col 67}{space 3} .1072975
{txt}{space 1}treatinfint {c |}{col 14}{res}{space 2} -.057553{col 26}{space 2} .0326825{col 37}{space 1}   -1.76{col 46}{space 3}0.079{col 54}{space 4}-.1218169{col 67}{space 3} .0067109
{txt}{space 2}b_patsat_z {c |}{col 14}{res}{space 2} .1274064{col 26}{space 2} .0103249{col 37}{space 1}   12.34{col 46}{space 3}0.000{col 54}{space 4} .1071045{col 67}{space 3} .1477083
{txt}b_patsat_z_d {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
c_infint_hc2 {c |}{col 14}{res}{space 2} .0264059{col 26}{space 2} .0734287{col 37}{space 1}    0.36{col 46}{space 3}0.719{col 54}{space 4}-.1179778{col 67}{space 3} .1707895
{txt}c_infint_b~l {c |}{col 14}{res}{space 2} .0640328{col 26}{space 2} .0802782{col 37}{space 1}    0.80{col 46}{space 3}0.426{col 54}{space 4} -.093819{col 67}{space 3} .2218845
{txt}c_infint_b~s {c |}{col 14}{res}{space 2}-.0981078{col 26}{space 2} .1064984{col 37}{space 1}   -0.92{col 46}{space 3}0.358{col 54}{space 4}-.3075167{col 67}{space 3}  .111301
{txt}c_infint_b~d {c |}{col 14}{res}{space 2}-.0295331{col 26}{space 2} .0718554{col 37}{space 1}   -0.41{col 46}{space 3}0.681{col 54}{space 4}-.1708232{col 67}{space 3} .1117569
{txt}c_infint_e~r {c |}{col 14}{res}{space 2} .0090596{col 26}{space 2} .0050631{col 37}{space 1}    1.79{col 46}{space 3}0.074{col 54}{space 4}-.0008961{col 67}{space 3} .0190152
{txt}c_infint_b~x {c |}{col 14}{res}{space 2}-.0348788{col 26}{space 2} .0213031{col 37}{space 1}   -1.64{col 46}{space 3}0.102{col 54}{space 4}-.0767673{col 67}{space 3} .0070096
{txt}{space 7}c_hc2 {c |}{col 14}{res}{space 2} .0220023{col 26}{space 2} .0393405{col 37}{space 1}    0.56{col 46}{space 3}0.576{col 54}{space 4}-.0553534{col 67}{space 3} .0993579
{txt}{space 3}c_b_h_del {c |}{col 14}{res}{space 2} .1123771{col 26}{space 2} .0473082{col 37}{space 1}    2.38{col 46}{space 3}0.018{col 54}{space 4} .0193546{col 67}{space 3} .2053996
{txt}c_b_h_staf~s {c |}{col 14}{res}{space 2} .0174316{col 26}{space 2} .0584874{col 37}{space 1}    0.30{col 46}{space 3}0.766{col 54}{space 4}-.0975727{col 67}{space 3} .1324359
{txt}c_b_visite~d {c |}{col 14}{res}{space 2} .0107832{col 26}{space 2} .0429037{col 37}{space 1}    0.25{col 46}{space 3}0.802{col 54}{space 4}-.0735788{col 67}{space 3} .0951451
{txt}{space 4}c_educyr {c |}{col 14}{res}{space 2} .0023446{col 26}{space 2} .0028345{col 37}{space 1}    0.83{col 46}{space 3}0.409{col 54}{space 4}-.0032289{col 67}{space 3} .0079181
{txt}c_b_asseti~x {c |}{col 14}{res}{space 2} .0135378{col 26}{space 2} .0098352{col 37}{space 1}    1.38{col 46}{space 3}0.169{col 54}{space 4}-.0058012{col 67}{space 3} .0328768
{txt}c_trea~o_hc2 {c |}{col 14}{res}{space 2}-.0174033{col 26}{space 2} .0541108{col 37}{space 1}   -0.32{col 46}{space 3}0.748{col 54}{space 4}-.1238019{col 67}{space 3} .0889953
{txt}c_~o_b_h_del {c |}{col 14}{res}{space 2}-.1070214{col 26}{space 2} .0582525{col 37}{space 1}   -1.84{col 46}{space 3}0.067{col 54}{space 4} -.221564{col 67}{space 3} .0075211
{txt}c_treatinf.. {c |}{col 14}{res}{space 2} .0638237{col 26}{space 2}  .084484{col 37}{space 1}    0.76{col 46}{space 3}0.450{col 54}{space 4}-.1022981{col 67}{space 3} .2299455
{txt}c_treatinf.. {c |}{col 14}{res}{space 2} .0203723{col 26}{space 2} .0569547{col 37}{space 1}    0.36{col 46}{space 3}0.721{col 54}{space 4}-.0916184{col 67}{space 3} .1323629
{txt}c_t~o_educyr {c |}{col 14}{res}{space 2}-.0052404{col 26}{space 2} .0037223{col 37}{space 1}   -1.41{col 46}{space 3}0.160{col 54}{space 4}-.0125595{col 67}{space 3} .0020788
{txt}c_treatinf.. {c |}{col 14}{res}{space 2} .0016069{col 26}{space 2} .0149492{col 37}{space 1}    0.11{col 46}{space 3}0.914{col 54}{space 4}-.0277878{col 67}{space 3} .0310016
{txt}c_trea~r_hc2 {c |}{col 14}{res}{space 2}-.1279747{col 26}{space 2}  .049889{col 37}{space 1}   -2.57{col 46}{space 3}0.011{col 54}{space 4} -.226072{col 67}{space 3}-.0298774
{txt}c_~r_b_h_del {c |}{col 14}{res}{space 2}-.1181213{col 26}{space 2} .0561849{col 37}{space 1}   -2.10{col 46}{space 3}0.036{col 54}{space 4}-.2285982{col 67}{space 3}-.0076444
{txt}c_treatint.. {c |}{col 14}{res}{space 2} .0476346{col 26}{space 2} .0631726{col 37}{space 1}    0.75{col 46}{space 3}0.451{col 54}{space 4}-.0765823{col 67}{space 3} .1718514
{txt}c_treatint.. {c |}{col 14}{res}{space 2}-.0210025{col 26}{space 2} .0548947{col 37}{space 1}   -0.38{col 46}{space 3}0.702{col 54}{space 4}-.1289425{col 67}{space 3} .0869376
{txt}c_t~r_educyr {c |}{col 14}{res}{space 2}-.0011319{col 26}{space 2} .0038101{col 37}{space 1}   -0.30{col 46}{space 3}0.767{col 54}{space 4}-.0086238{col 67}{space 3}   .00636
{txt}c_treatint.. {c |}{col 14}{res}{space 2} .0075126{col 26}{space 2} .0141126{col 37}{space 1}    0.53{col 46}{space 3}0.595{col 54}{space 4}-.0202372{col 67}{space 3} .0352623
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} -.006467{col 26}{space 2} .0178968{col 37}{space 1}   -0.36{col 46}{space 3}0.718{col 54}{space 4}-.0416577{col 67}{space 3} .0287236
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatinfo + treatinfint = 0{p_end}

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}  e_patsat_z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}(1) {c |}{col 14}{res}{space 2} .0155818{col 26}{space 2} .0201915{col 37}{space 1}    0.77{col 46}{space 3}0.441{col 54}{space 4} -.024121{col 67}{space 3} .0552846
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatinfo + treatinfint = 0{p_end}

{txt}       F(  1,   375) ={res}    0.60
{txt}{col 13}Prob > F ={res}    0.4408

{p 0 7}{space 1}{text:( 1)}{space 1} treatinfo - treatinter = 0{p_end}

{txt}       F(  1,   375) ={res}    0.15
{txt}{col 13}Prob > F ={res}    0.6973
{txt}note: b_commtg_z_d omitted because of collinearity
{res}
{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}    14,609
{txt}{col 49}F({res}  28{txt},{res}    375{txt}){col 67}= {res}      6.48
{txt}{col 49}Prob > F{col 67}= {res}    0.0000
{txt}{col 49}R-squared{col 67}= {res}    0.0768
{txt}{col 49}Adj R-squared{col 67}= {res}    0.0741
{txt}{col 49}Root MSE{col 67}= {res}    0.5674

{txt}{ralign 78:(Std. Err. adjusted for {res:376} clusters in hc_id)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}  e_commtg_z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatinfo {c |}{col 14}{res}{space 2} .0361583{col 26}{space 2} .0303522{col 37}{space 1}    1.19{col 46}{space 3}0.234{col 54}{space 4}-.0235235{col 67}{space 3} .0958402
{txt}{space 2}treatinter {c |}{col 14}{res}{space 2} .0410582{col 26}{space 2} .0289739{col 37}{space 1}    1.42{col 46}{space 3}0.157{col 54}{space 4}-.0159135{col 67}{space 3} .0980298
{txt}{space 1}treatinfint {c |}{col 14}{res}{space 2} -.073926{col 26}{space 2} .0419957{col 37}{space 1}   -1.76{col 46}{space 3}0.079{col 54}{space 4}-.1565026{col 67}{space 3} .0086506
{txt}{space 2}b_commtg_z {c |}{col 14}{res}{space 2} .0674781{col 26}{space 2} .0094909{col 37}{space 1}    7.11{col 46}{space 3}0.000{col 54}{space 4}  .048816{col 67}{space 3} .0861402
{txt}b_commtg_z_d {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
c_infint_hc2 {c |}{col 14}{res}{space 2} .0789883{col 26}{space 2} .0957745{col 37}{space 1}    0.82{col 46}{space 3}0.410{col 54}{space 4}-.1093341{col 67}{space 3} .2673108
{txt}c_infint_b~l {c |}{col 14}{res}{space 2} .1507088{col 26}{space 2} .1076733{col 37}{space 1}    1.40{col 46}{space 3}0.162{col 54}{space 4}-.0610103{col 67}{space 3} .3624279
{txt}c_infint_b~s {c |}{col 14}{res}{space 2} .1386354{col 26}{space 2} .1186149{col 37}{space 1}    1.17{col 46}{space 3}0.243{col 54}{space 4}-.0945982{col 67}{space 3}  .371869
{txt}c_infint_b~d {c |}{col 14}{res}{space 2}-.0221624{col 26}{space 2} .0875242{col 37}{space 1}   -0.25{col 46}{space 3}0.800{col 54}{space 4}-.1942621{col 67}{space 3} .1499372
{txt}c_infint_e~r {c |}{col 14}{res}{space 2} .0030647{col 26}{space 2}  .004959{col 37}{space 1}    0.62{col 46}{space 3}0.537{col 54}{space 4}-.0066863{col 67}{space 3} .0128157
{txt}c_infint_b~x {c |}{col 14}{res}{space 2}  .037364{col 26}{space 2} .0254971{col 37}{space 1}    1.47{col 46}{space 3}0.144{col 54}{space 4}-.0127712{col 67}{space 3} .0874991
{txt}{space 7}c_hc2 {c |}{col 14}{res}{space 2} .1063471{col 26}{space 2} .0460038{col 37}{space 1}    2.31{col 46}{space 3}0.021{col 54}{space 4} .0158895{col 67}{space 3} .1968048
{txt}{space 3}c_b_h_del {c |}{col 14}{res}{space 2} .0137292{col 26}{space 2} .0709849{col 37}{space 1}    0.19{col 46}{space 3}0.847{col 54}{space 4}-.1258492{col 67}{space 3} .1533075
{txt}c_b_h_staf~s {c |}{col 14}{res}{space 2} .0246956{col 26}{space 2} .0804406{col 37}{space 1}    0.31{col 46}{space 3}0.759{col 54}{space 4}-.1334756{col 67}{space 3} .1828669
{txt}c_b_visite~d {c |}{col 14}{res}{space 2} .0602916{col 26}{space 2} .0439667{col 37}{space 1}    1.37{col 46}{space 3}0.171{col 54}{space 4}-.0261606{col 67}{space 3} .1467438
{txt}{space 4}c_educyr {c |}{col 14}{res}{space 2} .0035321{col 26}{space 2} .0024601{col 37}{space 1}    1.44{col 46}{space 3}0.152{col 54}{space 4}-.0013051{col 67}{space 3} .0083694
{txt}c_b_asseti~x {c |}{col 14}{res}{space 2} .0241821{col 26}{space 2}  .011413{col 37}{space 1}    2.12{col 46}{space 3}0.035{col 54}{space 4} .0017405{col 67}{space 3} .0466236
{txt}c_trea~o_hc2 {c |}{col 14}{res}{space 2} .0428383{col 26}{space 2} .0693132{col 37}{space 1}    0.62{col 46}{space 3}0.537{col 54}{space 4}-.0934529{col 67}{space 3} .1791296
{txt}c_~o_b_h_del {c |}{col 14}{res}{space 2}  .031836{col 26}{space 2} .0855346{col 37}{space 1}    0.37{col 46}{space 3}0.710{col 54}{space 4}-.1363517{col 67}{space 3} .2000236
{txt}c_treatinf.. {c |}{col 14}{res}{space 2} -.050533{col 26}{space 2} .0940057{col 37}{space 1}   -0.54{col 46}{space 3}0.591{col 54}{space 4}-.2353773{col 67}{space 3} .1343113
{txt}c_treatinf.. {c |}{col 14}{res}{space 2} .0306141{col 26}{space 2} .0596125{col 37}{space 1}    0.51{col 46}{space 3}0.608{col 54}{space 4}-.0866026{col 67}{space 3} .1478308
{txt}c_t~o_educyr {c |}{col 14}{res}{space 2}-.0010029{col 26}{space 2} .0034493{col 37}{space 1}   -0.29{col 46}{space 3}0.771{col 54}{space 4}-.0077853{col 67}{space 3} .0057794
{txt}c_treatinf.. {c |}{col 14}{res}{space 2}-.0290219{col 26}{space 2} .0188758{col 37}{space 1}   -1.54{col 46}{space 3}0.125{col 54}{space 4}-.0661376{col 67}{space 3} .0080938
{txt}c_trea~r_hc2 {c |}{col 14}{res}{space 2}-.0892537{col 26}{space 2}  .067275{col 37}{space 1}   -1.33{col 46}{space 3}0.185{col 54}{space 4}-.2215372{col 67}{space 3} .0430299
{txt}c_~r_b_h_del {c |}{col 14}{res}{space 2}-.0944553{col 26}{space 2} .0836471{col 37}{space 1}   -1.13{col 46}{space 3}0.260{col 54}{space 4}-.2589315{col 67}{space 3} .0700208
{txt}c_treatint.. {c |}{col 14}{res}{space 2}-.0863961{col 26}{space 2} .0913198{col 37}{space 1}   -0.95{col 46}{space 3}0.345{col 54}{space 4}-.2659592{col 67}{space 3} .0931669
{txt}c_treatint.. {c |}{col 14}{res}{space 2} .0926334{col 26}{space 2} .0639041{col 37}{space 1}    1.45{col 46}{space 3}0.148{col 54}{space 4}-.0330219{col 67}{space 3} .2182886
{txt}c_t~r_educyr {c |}{col 14}{res}{space 2}-.0011279{col 26}{space 2} .0036253{col 37}{space 1}   -0.31{col 46}{space 3}0.756{col 54}{space 4}-.0082563{col 67}{space 3} .0060005
{txt}c_treatint.. {c |}{col 14}{res}{space 2}-.0098613{col 26}{space 2}  .016063{col 37}{space 1}   -0.61{col 46}{space 3}0.540{col 54}{space 4}-.0414463{col 67}{space 3} .0217236
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} .0045162{col 26}{space 2} .0203901{col 37}{space 1}    0.22{col 46}{space 3}0.825{col 54}{space 4}-.0355771{col 67}{space 3} .0446096
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatinfo + treatinfint = 0{p_end}

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}  e_commtg_z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}(1) {c |}{col 14}{res}{space 2}-.0377677{col 26}{space 2} .0294239{col 37}{space 1}   -1.28{col 46}{space 3}0.200{col 54}{space 4}-.0956243{col 67}{space 3} .0200889
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatinfo + treatinfint = 0{p_end}

{txt}       F(  1,   375) ={res}    1.65
{txt}{col 13}Prob > F ={res}    0.2001

{p 0 7}{space 1}{text:( 1)}{space 1} treatinfo - treatinter = 0{p_end}

{txt}       F(  1,   375) ={res}    0.03
{txt}{col 13}Prob > F ={res}    0.8735
{txt}
{com}.                 
.         * Child mortality at HC level
.         
.         foreach x in `indices_hc' {c -(}
{txt}  2{com}.                 areg  e_`x' treatinfo treatinter treatinfint b_`x' `infint_hc_int_e_controls' `e_controls_hc' `treatinfo_hc_int_e_controls' `treatinter_hc_int_e_controls' if uniquehc == 1, robust a(district)
{txt}  3{com}.                 
.                 local n_1_`x' = string(`e(N)',"%9.0fc")
{txt}  4{com}.                 
.                 local r2_1_`x' = string(`e(r2)',"%9.3fc")
{txt}  5{com}.                 local est_1_`x' = string(_b[treatinfo],"%9.3fc")
{txt}  6{com}.                 local se_1_`x' = string(_se[treatinfo],"%9.3fc")
{txt}  7{com}.                 local p_1_`x' = (2 * ttail(e(df_r), abs(_b[treatinfo]/_se[treatinfo])))
{txt}  8{com}.                 
.                 gen s_1_1s_`x' = (`p_1_`x''<=0.1 & `p_1_`x''>0.05)
{txt}  9{com}.                 gen s_1_2s_`x' = (`p_1_`x''<=0.05 & `p_1_`x''>0.01)
{txt} 10{com}.                 gen s_1_3s_`x' = (`p_1_`x''<=0.01 & `p_1_`x''>=0)
{txt} 11{com}.         
.                 if s_1_1s_`x' == 1 {c -(}
{txt} 12{com}.                                 local est_1_`x' = "`est_1_`x''*"
{txt} 13{com}.                                 {c )-}
{txt} 14{com}.                                 
.                 if s_1_2s_`x' == 1 {c -(}
{txt} 15{com}.                                 local est_1_`x' = "`est_1_`x''**"
{txt} 16{com}.                                 {c )-}
{txt} 17{com}.                                 
.                 if s_1_3s_`x' == 1 {c -(}
{txt} 18{com}.                                 local est_1_`x' = "`est_1_`x''***"
{txt} 19{com}.                                 {c )-}
{txt} 20{com}.                 
.                 local est_2_`x' = string(_b[treatinter],"%9.3fc")
{txt} 21{com}.                 local se_2_`x' = string(_se[treatinter],"%9.3fc")
{txt} 22{com}.                 local p_2_`x' = (2 * ttail(e(df_r), abs(_b[treatinter]/_se[treatinter])))
{txt} 23{com}.                 
.                 gen s_2_1s_`x' = (`p_2_`x''<=0.1 & `p_2_`x''>0.05)
{txt} 24{com}.                 gen s_2_2s_`x' = (`p_2_`x''<=0.05 & `p_2_`x''>0.01)
{txt} 25{com}.                 gen s_2_3s_`x' = (`p_2_`x''<=0.01 & `p_2_`x''>=0)
{txt} 26{com}.         
.                 if s_2_1s_`x' == 1 {c -(}
{txt} 27{com}.                                 local est_2_`x' = "`est_2_`x''*"
{txt} 28{com}.                                 {c )-}
{txt} 29{com}.                                 
.                 if s_2_2s_`x' == 1 {c -(}
{txt} 30{com}.                                 local est_2_`x' = "`est_2_`x''**"
{txt} 31{com}.                                 {c )-}
{txt} 32{com}.                                 
.                 if s_2_3s_`x' == 1 {c -(}
{txt} 33{com}.                                 local est_2_`x' = "`est_2_`x''***"
{txt} 34{com}.                                 {c )-}
{txt} 35{com}.                 
.                 local e_3_`x' = string(_b[treatinfint],"%9.3fc")
{txt} 36{com}.                 local se_3_`x' = string(_se[treatinfint],"%9.3fc")
{txt} 37{com}.                 local p_3_`x' = (2 * ttail(e(df_r), abs(_b[treatinfint]/_se[treatinfint])))
{txt} 38{com}.                 
.                 gen s_3_1s_`x' = (`p_3_`x''<=0.1 & `p_3_`x''>0.05)
{txt} 39{com}.                 gen s_3_2s_`x' = (`p_3_`x''<=0.05 & `p_3_`x''>0.01)
{txt} 40{com}.                 gen s_3_3s_`x' = (`p_3_`x''<=0.01 & `p_3_`x''>=0)
{txt} 41{com}.         
.                 if s_3_1s_`x' == 1 {c -(}
{txt} 42{com}.                                 local e_3_`x' = "`e_3_`x''*"
{txt} 43{com}.                                 {c )-}
{txt} 44{com}.                                 
.                 if s_3_2s_`x' == 1 {c -(}
{txt} 45{com}.                                 local e_3_`x' = "`e_3_`x''**"
{txt} 46{com}.                                 {c )-}
{txt} 47{com}.                                 
.                 if s_3_3s_`x' == 1 {c -(}
{txt} 48{com}.                                 local e_3_`x' = "`e_3_`x''***"
{txt} 49{com}.                                 {c )-}
{txt} 50{com}.                                 
.                 local est_4_`x' = string(_b[_cons],"%9.3fc")
{txt} 51{com}.                 local se_4_`x' = string(_se[_cons],"%9.3fc")
{txt} 52{com}.                 local p_4_`x' = (2 * ttail(e(df_r), abs(_b[_cons]/_se[_cons])))
{txt} 53{com}.                 
.                 gen s_4_1s_`x' = (`p_4_`x''<=0.1 & `p_4_`x''>0.05)
{txt} 54{com}.                 gen s_4_2s_`x' = (`p_4_`x''<=0.05 & `p_4_`x''>0.01)
{txt} 55{com}.                 gen s_4_3s_`x' = (`p_4_`x''<=0.01 & `p_4_`x''>=0)
{txt} 56{com}.         
.                 if s_4_1s_`x' == 1 {c -(}
{txt} 57{com}.                                 local est_4_`x' = "`est_4_`x''*"
{txt} 58{com}.                                 {c )-}
{txt} 59{com}.                                 
.                 if s_4_2s_`x' == 1 {c -(}
{txt} 60{com}.                                 local est_4_`x' = "`est_4_`x''**"
{txt} 61{com}.                                 {c )-}
{txt} 62{com}.                                 
.                 if s_4_3s_`x' == 1 {c -(}
{txt} 63{com}.                                 local est_4_`x' = "`est_4_`x''***"
{txt} 64{com}.                                 {c )-}
{txt} 65{com}.         
.                 lincom treatinfo + treatinfint
{txt} 66{com}.                 local est_5_`x' = string(`r(estimate)',"%9.3fc")
{txt} 67{com}.                 local se_5_`x' = string(`r(se)',"%9.3fc")
{txt} 68{com}.                 local se_5_`x' = "(`se_5_`x'')"
{txt} 69{com}.                 test treatinfo + treatinfint = 0
{txt} 70{com}.                 local p_5_`x' = `r(p)'
{txt} 71{com}.                 
.                 gen s_5_1s_`x' = (`p_5_`x''<=0.1 & `p_5_`x''>0.05)
{txt} 72{com}.                 gen s_5_2s_`x' = (`p_5_`x''<=0.05 & `p_5_`x''>0.01)
{txt} 73{com}.                 gen s_5_3s_`x' = (`p_5_`x''<=0.01 & `p_5_`x''>=0)
{txt} 74{com}.         
.                 if s_5_1s_`x' == 1 {c -(}
{txt} 75{com}.                                 local est_5_`x' = "`est_5_`x''*"
{txt} 76{com}.                                 {c )-}
{txt} 77{com}.                                 
.                 if s_5_2s_`x' == 1 {c -(}
{txt} 78{com}.                                 local est_5_`x' = "`est_5_`x''**"
{txt} 79{com}.                                 {c )-}
{txt} 80{com}.                                 
.                 if s_5_3s_`x' == 1 {c -(}
{txt} 81{com}.                                 local est_5_`x' = "`est_5_`x''***"
{txt} 82{com}.                                 {c )-}
{txt} 83{com}.                 
.                 test treatinfo = treatinter
{txt} 84{com}.                 local f_wald_`x' = string(`r(p)',"%9.3fc")
{txt} 85{com}.                 
.                 drop s_*
{txt} 86{com}.                 {c )-}
{res}
{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}       376
{txt}{col 49}F({res}  28{txt},{res}    332{txt}){col 67}= {res}      1.20
{txt}{col 49}Prob > F{col 67}= {res}    0.2277
{txt}{col 49}R-squared{col 67}= {res}    0.1511
{txt}{col 49}Adj R-squared{col 67}= {res}    0.0412
{txt}{col 49}Root MSE{col 67}= {res}    0.0540

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}e_mortrat~05{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatinfo {c |}{col 14}{res}{space 2}-.0196238{col 26}{space 2} .0076354{col 37}{space 1}   -2.57{col 46}{space 3}0.011{col 54}{space 4}-.0346436{col 67}{space 3}-.0046039
{txt}{space 2}treatinter {c |}{col 14}{res}{space 2}-.0093798{col 26}{space 2} .0080467{col 37}{space 1}   -1.17{col 46}{space 3}0.245{col 54}{space 4}-.0252088{col 67}{space 3} .0064492
{txt}{space 1}treatinfint {c |}{col 14}{res}{space 2} .0177845{col 26}{space 2} .0111305{col 37}{space 1}    1.60{col 46}{space 3}0.111{col 54}{space 4}-.0041107{col 67}{space 3} .0396797
{txt}b_mortrat~05 {c |}{col 14}{res}{space 2} .0896006{col 26}{space 2}  .048151{col 37}{space 1}    1.86{col 46}{space 3}0.064{col 54}{space 4} -.005119{col 67}{space 3} .1843202
{txt}c_infi~c_hc2 {c |}{col 14}{res}{space 2} .0359892{col 26}{space 2} .0278301{col 37}{space 1}    1.29{col 46}{space 3}0.197{col 54}{space 4}-.0187563{col 67}{space 3} .0907347
{txt}c_infint_h~l {c |}{col 14}{res}{space 2} .0039088{col 26}{space 2} .0293762{col 37}{space 1}    0.13{col 46}{space 3}0.894{col 54}{space 4}-.0538781{col 67}{space 3} .0616957
{txt}c_infint_h~s {c |}{col 14}{res}{space 2} -.006679{col 26}{space 2} .0343425{col 37}{space 1}   -0.19{col 46}{space 3}0.846{col 54}{space 4}-.0742353{col 67}{space 3} .0608773
{txt}c_infint_h~d {c |}{col 14}{res}{space 2}-.0690977{col 26}{space 2} .1451587{col 37}{space 1}   -0.48{col 46}{space 3}0.634{col 54}{space 4}-.3546444{col 67}{space 3}  .216449
{txt}c_infint_h~r {c |}{col 14}{res}{space 2}-.0091494{col 26}{space 2} .0125622{col 37}{space 1}   -0.73{col 46}{space 3}0.467{col 54}{space 4}-.0338609{col 67}{space 3}  .015562
{txt}c_infint_h~x {c |}{col 14}{res}{space 2}  .019197{col 26}{space 2} .0373289{col 37}{space 1}    0.51{col 46}{space 3}0.607{col 54}{space 4} -.054234{col 67}{space 3}  .092628
{txt}{space 4}c_hc_hc2 {c |}{col 14}{res}{space 2} .0126535{col 26}{space 2} .0153834{col 37}{space 1}    0.82{col 46}{space 3}0.411{col 54}{space 4}-.0176078{col 67}{space 3} .0429147
{txt}c_hc_b_h_del {c |}{col 14}{res}{space 2} .0045195{col 26}{space 2} .0193414{col 37}{space 1}    0.23{col 46}{space 3}0.815{col 54}{space 4}-.0335277{col 67}{space 3} .0425667
{txt}c_hc_b_h_s~s {c |}{col 14}{res}{space 2} .0174713{col 26}{space 2} .0205738{col 37}{space 1}    0.85{col 46}{space 3}0.396{col 54}{space 4}-.0230002{col 67}{space 3} .0579428
{txt}c_hc_b_vis~d {c |}{col 14}{res}{space 2} .0389173{col 26}{space 2} .0508791{col 37}{space 1}    0.76{col 46}{space 3}0.445{col 54}{space 4}-.0611687{col 67}{space 3} .1390034
{txt}{space 1}c_hc_educyr {c |}{col 14}{res}{space 2}-.0078413{col 26}{space 2} .0065618{col 37}{space 1}   -1.19{col 46}{space 3}0.233{col 54}{space 4}-.0207492{col 67}{space 3} .0050667
{txt}c_hc_b_ass~x {c |}{col 14}{res}{space 2} .0192448{col 26}{space 2} .0190957{col 37}{space 1}    1.01{col 46}{space 3}0.314{col 54}{space 4} -.018319{col 67}{space 3} .0568085
{txt}c_t~o_hc_hc2 {c |}{col 14}{res}{space 2}-.0215261{col 26}{space 2} .0190906{col 37}{space 1}   -1.13{col 46}{space 3}0.260{col 54}{space 4}-.0590799{col 67}{space 3} .0160278
{txt}c_treatinf.. {c |}{col 14}{res}{space 2}-.0104964{col 26}{space 2} .0219189{col 37}{space 1}   -0.48{col 46}{space 3}0.632{col 54}{space 4}-.0536139{col 67}{space 3} .0326211
{txt}c_treatinf.. {c |}{col 14}{res}{space 2}-.0183716{col 26}{space 2}  .026485{col 37}{space 1}   -0.69{col 46}{space 3}0.488{col 54}{space 4}-.0704712{col 67}{space 3}  .033728
{txt}c_treatinf.. {c |}{col 14}{res}{space 2}-.1014607{col 26}{space 2} .0934098{col 37}{space 1}   -1.09{col 46}{space 3}0.278{col 54}{space 4}-.2852105{col 67}{space 3} .0822891
{txt}~o_hc_educyr {c |}{col 14}{res}{space 2} .0043895{col 26}{space 2} .0092577{col 37}{space 1}    0.47{col 46}{space 3}0.636{col 54}{space 4}-.0138217{col 67}{space 3} .0226007
{txt}c_treatinf.. {c |}{col 14}{res}{space 2}-.0289946{col 26}{space 2} .0246549{col 37}{space 1}   -1.18{col 46}{space 3}0.240{col 54}{space 4}-.0774941{col 67}{space 3} .0195048
{txt}c_t~r_hc_hc2 {c |}{col 14}{res}{space 2}-.0196505{col 26}{space 2} .0228337{col 37}{space 1}   -0.86{col 46}{space 3}0.390{col 54}{space 4}-.0645675{col 67}{space 3} .0252664
{txt}c_treatint.. {c |}{col 14}{res}{space 2} .0066976{col 26}{space 2}  .024443{col 37}{space 1}    0.27{col 46}{space 3}0.784{col 54}{space 4}-.0413851{col 67}{space 3} .0547803
{txt}c_treatint.. {c |}{col 14}{res}{space 2} -.012285{col 26}{space 2} .0253637{col 37}{space 1}   -0.48{col 46}{space 3}0.628{col 54}{space 4}-.0621788{col 67}{space 3} .0376089
{txt}c_treatint.. {c |}{col 14}{res}{space 2} .0031839{col 26}{space 2} .0945316{col 37}{space 1}    0.03{col 46}{space 3}0.973{col 54}{space 4}-.1827726{col 67}{space 3} .1891403
{txt}~r_hc_educyr {c |}{col 14}{res}{space 2} .0012773{col 26}{space 2} .0090213{col 37}{space 1}    0.14{col 46}{space 3}0.887{col 54}{space 4}-.0164689{col 67}{space 3} .0190235
{txt}c_treatint.. {c |}{col 14}{res}{space 2}-.0079187{col 26}{space 2} .0267511{col 37}{space 1}   -0.30{col 46}{space 3}0.767{col 54}{space 4}-.0605417{col 67}{space 3} .0447042
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} .0610958{col 26}{space 2} .0059011{col 37}{space 1}   10.35{col 46}{space 3}0.000{col 54}{space 4} .0494875{col 67}{space 3} .0727041
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatinfo + treatinfint = 0{p_end}

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}e_mortrat~05{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}(1) {c |}{col 14}{res}{space 2}-.0018392{col 26}{space 2} .0080601{col 37}{space 1}   -0.23{col 46}{space 3}0.820{col 54}{space 4}-.0176945{col 67}{space 3}  .014016
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatinfo + treatinfint = 0{p_end}

{txt}       F(  1,   332) ={res}    0.05
{txt}{col 13}Prob > F ={res}    0.8196

{p 0 7}{space 1}{text:( 1)}{space 1} treatinfo - treatinter = 0{p_end}

{txt}       F(  1,   332) ={res}    1.62
{txt}{col 13}Prob > F ={res}    0.2035

{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}       376
{txt}{col 49}F({res}  28{txt},{res}    332{txt}){col 67}= {res}      1.01
{txt}{col 49}Prob > F{col 67}= {res}    0.4588
{txt}{col 49}R-squared{col 67}= {res}    0.1091
{txt}{col 49}Adj R-squared{col 67}= {res}   -0.0063
{txt}{col 49}Root MSE{col 67}= {res}    0.6510

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}e_h_ctzpre~z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatinfo {c |}{col 14}{res}{space 2}-.0435518{col 26}{space 2} .0923055{col 37}{space 1}   -0.47{col 46}{space 3}0.637{col 54}{space 4}-.2251292{col 67}{space 3} .1380255
{txt}{space 2}treatinter {c |}{col 14}{res}{space 2} -.015219{col 26}{space 2} .0873737{col 37}{space 1}   -0.17{col 46}{space 3}0.862{col 54}{space 4}-.1870949{col 67}{space 3} .1566569
{txt}{space 1}treatinfint {c |}{col 14}{res}{space 2}-.0768429{col 26}{space 2} .1394577{col 37}{space 1}   -0.55{col 46}{space 3}0.582{col 54}{space 4}-.3511751{col 67}{space 3} .1974892
{txt}b_h_ctzpre~z {c |}{col 14}{res}{space 2} .0378187{col 26}{space 2} .0548235{col 37}{space 1}    0.69{col 46}{space 3}0.491{col 54}{space 4}-.0700265{col 67}{space 3} .1456639
{txt}c_infi~c_hc2 {c |}{col 14}{res}{space 2}  .026784{col 26}{space 2}  .338865{col 37}{space 1}    0.08{col 46}{space 3}0.937{col 54}{space 4}-.6398091{col 67}{space 3} .6933771
{txt}c_infint_h~l {c |}{col 14}{res}{space 2}-.2534992{col 26}{space 2} .3086887{col 37}{space 1}   -0.82{col 46}{space 3}0.412{col 54}{space 4}-.8607316{col 67}{space 3} .3537332
{txt}c_infint_h~s {c |}{col 14}{res}{space 2} .5062084{col 26}{space 2} .3654349{col 37}{space 1}    1.39{col 46}{space 3}0.167{col 54}{space 4}-.2126514{col 67}{space 3} 1.225068
{txt}c_infint_h~d {c |}{col 14}{res}{space 2} 1.023683{col 26}{space 2} 1.704156{col 37}{space 1}    0.60{col 46}{space 3}0.548{col 54}{space 4}-2.328621{col 67}{space 3} 4.375988
{txt}c_infint_h~r {c |}{col 14}{res}{space 2}-.0459048{col 26}{space 2} .1481267{col 37}{space 1}   -0.31{col 46}{space 3}0.757{col 54}{space 4}  -.33729{col 67}{space 3} .2454803
{txt}c_infint_h~x {c |}{col 14}{res}{space 2} .1854945{col 26}{space 2} .3830169{col 37}{space 1}    0.48{col 46}{space 3}0.628{col 54}{space 4}-.5679515{col 67}{space 3} .9389406
{txt}{space 4}c_hc_hc2 {c |}{col 14}{res}{space 2}-.1367315{col 26}{space 2} .1425431{col 37}{space 1}   -0.96{col 46}{space 3}0.338{col 54}{space 4}-.4171331{col 67}{space 3}   .14367
{txt}c_hc_b_h_del {c |}{col 14}{res}{space 2}-.0328427{col 26}{space 2} .1645482{col 37}{space 1}   -0.20{col 46}{space 3}0.842{col 54}{space 4}-.3565311{col 67}{space 3} .2908458
{txt}c_hc_b_h_s~s {c |}{col 14}{res}{space 2} .6295355{col 26}{space 2} .2308428{col 37}{space 1}    2.73{col 46}{space 3}0.007{col 54}{space 4} .1754366{col 67}{space 3} 1.083634
{txt}c_hc_b_vis~d {c |}{col 14}{res}{space 2}-.5593598{col 26}{space 2} .5080624{col 37}{space 1}   -1.10{col 46}{space 3}0.272{col 54}{space 4}-1.558787{col 67}{space 3} .4400675
{txt}{space 1}c_hc_educyr {c |}{col 14}{res}{space 2}-.0196302{col 26}{space 2} .0768873{col 37}{space 1}   -0.26{col 46}{space 3}0.799{col 54}{space 4} -.170878{col 67}{space 3} .1316176
{txt}c_hc_b_ass~x {c |}{col 14}{res}{space 2}-.2118619{col 26}{space 2}  .200044{col 37}{space 1}   -1.06{col 46}{space 3}0.290{col 54}{space 4}-.6053755{col 67}{space 3} .1816517
{txt}c_t~o_hc_hc2 {c |}{col 14}{res}{space 2}-.2137934{col 26}{space 2} .2058733{col 37}{space 1}   -1.04{col 46}{space 3}0.300{col 54}{space 4}-.6187739{col 67}{space 3} .1911871
{txt}c_treatinf.. {c |}{col 14}{res}{space 2}-.0515221{col 26}{space 2} .2120913{col 37}{space 1}   -0.24{col 46}{space 3}0.808{col 54}{space 4}-.4687343{col 67}{space 3} .3656902
{txt}c_treatinf.. {c |}{col 14}{res}{space 2}-.5408538{col 26}{space 2} .2959406{col 37}{space 1}   -1.83{col 46}{space 3}0.069{col 54}{space 4}-1.123009{col 67}{space 3} .0413014
{txt}c_treatinf.. {c |}{col 14}{res}{space 2}-.3441557{col 26}{space 2} 1.071487{col 37}{space 1}   -0.32{col 46}{space 3}0.748{col 54}{space 4}-2.451915{col 67}{space 3} 1.763604
{txt}~o_hc_educyr {c |}{col 14}{res}{space 2} .0266376{col 26}{space 2} .1012218{col 37}{space 1}    0.26{col 46}{space 3}0.793{col 54}{space 4}-.1724794{col 67}{space 3} .2257546
{txt}c_treatinf.. {c |}{col 14}{res}{space 2} -.060523{col 26}{space 2} .2781364{col 37}{space 1}   -0.22{col 46}{space 3}0.828{col 54}{space 4} -.607655{col 67}{space 3} .4866089
{txt}c_t~r_hc_hc2 {c |}{col 14}{res}{space 2}  .270256{col 26}{space 2} .2112616{col 37}{space 1}    1.28{col 46}{space 3}0.202{col 54}{space 4} -.145324{col 67}{space 3}  .685836
{txt}c_treatint.. {c |}{col 14}{res}{space 2} .2238846{col 26}{space 2} .2213077{col 37}{space 1}    1.01{col 46}{space 3}0.312{col 54}{space 4}-.2114575{col 67}{space 3} .6592267
{txt}c_treatint.. {c |}{col 14}{res}{space 2}-.5723779{col 26}{space 2} .2586099{col 37}{space 1}   -2.21{col 46}{space 3}0.028{col 54}{space 4}-1.081098{col 67}{space 3}-.0636574
{txt}c_treatint.. {c |}{col 14}{res}{space 2} .0589652{col 26}{space 2} .9454071{col 37}{space 1}    0.06{col 46}{space 3}0.950{col 54}{space 4}-1.800778{col 67}{space 3} 1.918709
{txt}~r_hc_educyr {c |}{col 14}{res}{space 2} .1398191{col 26}{space 2} .0996845{col 37}{space 1}    1.40{col 46}{space 3}0.162{col 54}{space 4}-.0562738{col 67}{space 3}  .335912
{txt}c_treatint.. {c |}{col 14}{res}{space 2}-.1024896{col 26}{space 2} .2420336{col 37}{space 1}   -0.42{col 46}{space 3}0.672{col 54}{space 4}-.5786024{col 67}{space 3} .3736233
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} .0063349{col 26}{space 2} .0626023{col 37}{space 1}    0.10{col 46}{space 3}0.919{col 54}{space 4}-.1168124{col 67}{space 3} .1294821
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatinfo + treatinfint = 0{p_end}

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}e_h_ctzpre~z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}(1) {c |}{col 14}{res}{space 2}-.1203948{col 26}{space 2} .1025569{col 37}{space 1}   -1.17{col 46}{space 3}0.241{col 54}{space 4} -.322138{col 67}{space 3} .0813485
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatinfo + treatinfint = 0{p_end}

{txt}       F(  1,   332) ={res}    1.38
{txt}{col 13}Prob > F ={res}    0.2413

{p 0 7}{space 1}{text:( 1)}{space 1} treatinfo - treatinter = 0{p_end}

{txt}       F(  1,   332) ={res}    0.10
{txt}{col 13}Prob > F ={res}    0.7538
{txt}
{com}.                 
.         foreach x in `indices_hc_ols' {c -(}
{txt}  2{com}.                 
.                 areg  e_`x' treatinfo treatinter treatinfint b_`x' b_`x'_d `infint_hc_e_controls' `e_controls_hc' `treatinfo_hc_int_e_controls' `treatinter_hc_int_e_controls' if uniquehc == 1, robust a(district)
{txt}  3{com}.                 
.                 local n_1_`x' = string(`e(N)',"%9.0fc")
{txt}  4{com}.                 
.                 local r2_1_`x' = string(`e(r2)',"%9.3fc")
{txt}  5{com}.                 local est_1_`x' = string(_b[treatinfo],"%9.3fc")
{txt}  6{com}.                 local se_1_`x' = string(_se[treatinfo],"%9.3fc")
{txt}  7{com}.                 local p_1_`x' = (2 * ttail(e(df_r), abs(_b[treatinfo]/_se[treatinfo])))
{txt}  8{com}.                 
.                 gen s_1_1s_`x' = (`p_1_`x''<=0.1 & `p_1_`x''>0.05)
{txt}  9{com}.                 gen s_1_2s_`x' = (`p_1_`x''<=0.05 & `p_1_`x''>0.01)
{txt} 10{com}.                 gen s_1_3s_`x' = (`p_1_`x''<=0.01 & `p_1_`x''>=0)
{txt} 11{com}.         
.                 if s_1_1s_`x' == 1 {c -(}
{txt} 12{com}.                                 local est_1_`x' = "`est_1_`x''*"
{txt} 13{com}.                                 {c )-}
{txt} 14{com}.                                 
.                 if s_1_2s_`x' == 1 {c -(}
{txt} 15{com}.                                 local est_1_`x' = "`est_1_`x''**"
{txt} 16{com}.                                 {c )-}
{txt} 17{com}.                                 
.                 if s_1_3s_`x' == 1 {c -(}
{txt} 18{com}.                                 local est_1_`x' = "`est_1_`x''***"
{txt} 19{com}.                                 {c )-}
{txt} 20{com}.                 
.                 local est_2_`x' = string(_b[treatinter],"%9.3fc")
{txt} 21{com}.                 local se_2_`x' = string(_se[treatinter],"%9.3fc")
{txt} 22{com}.                 local p_2_`x' = (2 * ttail(e(df_r), abs(_b[treatinter]/_se[treatinter])))
{txt} 23{com}.                 
.                 gen s_2_1s_`x' = (`p_2_`x''<=0.1 & `p_2_`x''>0.05)
{txt} 24{com}.                 gen s_2_2s_`x' = (`p_2_`x''<=0.05 & `p_2_`x''>0.01)
{txt} 25{com}.                 gen s_2_3s_`x' = (`p_2_`x''<=0.01 & `p_2_`x''>=0)
{txt} 26{com}.         
.                 if s_2_1s_`x' == 1 {c -(}
{txt} 27{com}.                                 local est_2_`x' = "`est_2_`x''*"
{txt} 28{com}.                                 {c )-}
{txt} 29{com}.                                 
.                 if s_2_2s_`x' == 1 {c -(}
{txt} 30{com}.                                 local est_2_`x' = "`est_2_`x''**"
{txt} 31{com}.                                 {c )-}
{txt} 32{com}.                                 
.                 if s_2_3s_`x' == 1 {c -(}
{txt} 33{com}.                                 local est_2_`x' = "`est_2_`x''***"
{txt} 34{com}.                                 {c )-}
{txt} 35{com}.                 
.                 local e_3_`x' = string(_b[treatinfint],"%9.3fc")
{txt} 36{com}.                 local se_3_`x' = string(_se[treatinfint],"%9.3fc")
{txt} 37{com}.                 local p_3_`x' = (2 * ttail(e(df_r), abs(_b[treatinfint]/_se[treatinfint])))
{txt} 38{com}.                 
.                 gen s_3_1s_`x' = (`p_3_`x''<=0.1 & `p_3_`x''>0.05)
{txt} 39{com}.                 gen s_3_2s_`x' = (`p_3_`x''<=0.05 & `p_3_`x''>0.01)
{txt} 40{com}.                 gen s_3_3s_`x' = (`p_3_`x''<=0.01 & `p_3_`x''>=0)
{txt} 41{com}.         
.                 if s_3_1s_`x' == 1 {c -(}
{txt} 42{com}.                                 local e_3_`x' = "`e_3_`x''*"
{txt} 43{com}.                                 {c )-}
{txt} 44{com}.                                 
.                 if s_3_2s_`x' == 1 {c -(}
{txt} 45{com}.                                 local e_3_`x' = "`e_3_`x''**"
{txt} 46{com}.                                 {c )-}
{txt} 47{com}.                                 
.                 if s_3_3s_`x' == 1 {c -(}
{txt} 48{com}.                                 local e_3_`x' = "`e_3_`x''***"
{txt} 49{com}.                                 {c )-}
{txt} 50{com}.                                 
.                 local est_4_`x' = string(_b[_cons],"%9.3fc")
{txt} 51{com}.                 local se_4_`x' = string(_se[_cons],"%9.3fc")
{txt} 52{com}.                 local p_4_`x' = (2 * ttail(e(df_r), abs(_b[_cons]/_se[_cons])))
{txt} 53{com}.                 
.                 gen s_4_1s_`x' = (`p_4_`x''<=0.1 & `p_4_`x''>0.05)
{txt} 54{com}.                 gen s_4_2s_`x' = (`p_4_`x''<=0.05 & `p_4_`x''>0.01)
{txt} 55{com}.                 gen s_4_3s_`x' = (`p_4_`x''<=0.01 & `p_4_`x''>=0)
{txt} 56{com}.         
.                 if s_4_1s_`x' == 1 {c -(}
{txt} 57{com}.                                 local est_4_`x' = "`est_4_`x''*"
{txt} 58{com}.                                 {c )-}
{txt} 59{com}.                                 
.                 if s_4_2s_`x' == 1 {c -(}
{txt} 60{com}.                                 local est_4_`x' = "`est_4_`x''**"
{txt} 61{com}.                                 {c )-}
{txt} 62{com}.                                 
.                 if s_4_3s_`x' == 1 {c -(}
{txt} 63{com}.                                 local est_4_`x' = "`est_4_`x''***"
{txt} 64{com}.                                 {c )-}
{txt} 65{com}.         
.                 lincom treatinfo + treatinfint
{txt} 66{com}.                 local est_5_`x' = string(`r(estimate)',"%9.3fc")
{txt} 67{com}.                 local se_5_`x' = string(`r(se)',"%9.3fc")
{txt} 68{com}.                 local se_5_`x' = "(`se_5_`x'')"
{txt} 69{com}.                 test treatinfo + treatinfint = 0
{txt} 70{com}.                 local p_5_`x' = `r(p)'
{txt} 71{com}.                 
.                 gen s_5_1s_`x' = (`p_5_`x''<=0.1 & `p_5_`x''>0.05)
{txt} 72{com}.                 gen s_5_2s_`x' = (`p_5_`x''<=0.05 & `p_5_`x''>0.01)
{txt} 73{com}.                 gen s_5_3s_`x' = (`p_5_`x''<=0.01 & `p_5_`x''>=0)
{txt} 74{com}.         
.                 if s_5_1s_`x' == 1 {c -(}
{txt} 75{com}.                                 local est_5_`x' = "`est_5_`x''*"
{txt} 76{com}.                                 {c )-}
{txt} 77{com}.                                 
.                 if s_5_2s_`x' == 1 {c -(}
{txt} 78{com}.                                 local est_5_`x' = "`est_5_`x''**"
{txt} 79{com}.                                 {c )-}
{txt} 80{com}.                                 
.                 if s_5_3s_`x' == 1 {c -(}
{txt} 81{com}.                                 local est_5_`x' = "`est_5_`x''***"
{txt} 82{com}.                                 {c )-}
{txt} 83{com}.                 
.                 test treatinfo = treatinter
{txt} 84{com}.                 local f_wald_`x' = string(`r(p)',"%9.3fc")
{txt} 85{com}.                 
.                 drop s_*
{txt} 86{com}.                 {c )-}
{p 0 6 2}{txt}note: b_h_ctzpressure_z_d omitted because of collinearity{p_end}
{res}
{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}       376
{txt}{col 49}F({res}  22{txt},{res}    338{txt}){col 67}= {res}      1.21
{txt}{col 49}Prob > F{col 67}= {res}    0.2333
{txt}{col 49}R-squared{col 67}= {res}    0.1035
{txt}{col 49}Adj R-squared{col 67}= {res}    0.0053
{txt}{col 49}Root MSE{col 67}= {res}    0.6473

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}e_h_ctzpre~z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatinfo {c |}{col 14}{res}{space 2}-.0431406{col 26}{space 2} .0915761{col 37}{space 1}   -0.47{col 46}{space 3}0.638{col 54}{space 4}-.2232714{col 67}{space 3} .1369903
{txt}{space 2}treatinter {c |}{col 14}{res}{space 2}-.0132391{col 26}{space 2} .0870966{col 37}{space 1}   -0.15{col 46}{space 3}0.879{col 54}{space 4}-.1845588{col 67}{space 3} .1580807
{txt}{space 1}treatinfint {c |}{col 14}{res}{space 2}-.0737974{col 26}{space 2} .1389331{col 37}{space 1}   -0.53{col 46}{space 3}0.596{col 54}{space 4}-.3470797{col 67}{space 3}  .199485
{txt}b_h_ctzpre~z {c |}{col 14}{res}{space 2} .0313716{col 26}{space 2}  .051844{col 37}{space 1}    0.61{col 46}{space 3}0.546{col 54}{space 4} -.070606{col 67}{space 3} .1333492
{txt}b_h_ctzpre~d {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 4}c_hc_hc2 {c |}{col 14}{res}{space 2}-.1459843{col 26}{space 2} .1280752{col 37}{space 1}   -1.14{col 46}{space 3}0.255{col 54}{space 4}-.3979093{col 67}{space 3} .1059406
{txt}c_hc_b_h_del {c |}{col 14}{res}{space 2} .0498802{col 26}{space 2} .1485947{col 37}{space 1}    0.34{col 46}{space 3}0.737{col 54}{space 4}-.2424067{col 67}{space 3} .3421672
{txt}c_hc_b_h_s~s {c |}{col 14}{res}{space 2} .4743974{col 26}{space 2} .1890234{col 37}{space 1}    2.51{col 46}{space 3}0.013{col 54}{space 4} .1025871{col 67}{space 3} .8462078
{txt}c_hc_b_vis~d {c |}{col 14}{res}{space 2}-.6991129{col 26}{space 2} .4918638{col 37}{space 1}   -1.42{col 46}{space 3}0.156{col 54}{space 4}-1.666613{col 67}{space 3} .2683867
{txt}{space 1}c_hc_educyr {c |}{col 14}{res}{space 2}-.0155503{col 26}{space 2} .0676623{col 37}{space 1}   -0.23{col 46}{space 3}0.818{col 54}{space 4}-.1486425{col 67}{space 3} .1175419
{txt}c_hc_b_ass~x {c |}{col 14}{res}{space 2}-.2217215{col 26}{space 2} .1882743{col 37}{space 1}   -1.18{col 46}{space 3}0.240{col 54}{space 4}-.5920585{col 67}{space 3} .1486154
{txt}c_t~o_hc_hc2 {c |}{col 14}{res}{space 2}-.1939248{col 26}{space 2} .1609513{col 37}{space 1}   -1.20{col 46}{space 3}0.229{col 54}{space 4}-.5105172{col 67}{space 3} .1226676
{txt}c_treatinf.. {c |}{col 14}{res}{space 2}-.2004727{col 26}{space 2} .1542183{col 37}{space 1}   -1.30{col 46}{space 3}0.195{col 54}{space 4}-.5038211{col 67}{space 3} .1028758
{txt}c_treatinf.. {c |}{col 14}{res}{space 2}-.2701036{col 26}{space 2} .1842971{col 37}{space 1}   -1.47{col 46}{space 3}0.144{col 54}{space 4}-.6326173{col 67}{space 3} .0924101
{txt}c_treatinf.. {c |}{col 14}{res}{space 2} .0993522{col 26}{space 2}  .736107{col 37}{space 1}    0.13{col 46}{space 3}0.893{col 54}{space 4}-1.348576{col 67}{space 3}  1.54728
{txt}~o_hc_educyr {c |}{col 14}{res}{space 2}  .010886{col 26}{space 2} .0721365{col 37}{space 1}    0.15{col 46}{space 3}0.880{col 54}{space 4}-.1310071{col 67}{space 3} .1527791
{txt}c_treatinf.. {c |}{col 14}{res}{space 2}  .019028{col 26}{space 2} .1893032{col 37}{space 1}    0.10{col 46}{space 3}0.920{col 54}{space 4}-.3533328{col 67}{space 3} .3913888
{txt}c_t~r_hc_hc2 {c |}{col 14}{res}{space 2} .2788402{col 26}{space 2} .1687962{col 37}{space 1}    1.65{col 46}{space 3}0.099{col 54}{space 4}-.0531832{col 67}{space 3} .6108636
{txt}c_treatint.. {c |}{col 14}{res}{space 2} .0805006{col 26}{space 2} .1703066{col 37}{space 1}    0.47{col 46}{space 3}0.637{col 54}{space 4}-.2544938{col 67}{space 3}  .415495
{txt}c_treatint.. {c |}{col 14}{res}{space 2} -.295512{col 26}{space 2} .1794729{col 37}{space 1}   -1.65{col 46}{space 3}0.101{col 54}{space 4}-.6485364{col 67}{space 3} .0575125
{txt}c_treatint.. {c |}{col 14}{res}{space 2} .5924824{col 26}{space 2} .7795147{col 37}{space 1}    0.76{col 46}{space 3}0.448{col 54}{space 4}-.9408286{col 67}{space 3} 2.125793
{txt}~r_hc_educyr {c |}{col 14}{res}{space 2} .1110154{col 26}{space 2} .0742377{col 37}{space 1}    1.50{col 46}{space 3}0.136{col 54}{space 4}-.0350106{col 67}{space 3} .2570415
{txt}c_treatint.. {c |}{col 14}{res}{space 2}-.0162971{col 26}{space 2}  .195535{col 37}{space 1}   -0.08{col 46}{space 3}0.934{col 54}{space 4}-.4009159{col 67}{space 3} .3683217
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} .0016949{col 26}{space 2} .0631781{col 37}{space 1}    0.03{col 46}{space 3}0.979{col 54}{space 4}-.1225769{col 67}{space 3} .1259666
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatinfo + treatinfint = 0{p_end}

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}e_h_ctzpre~z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}(1) {c |}{col 14}{res}{space 2}-.1169379{col 26}{space 2} .1016249{col 37}{space 1}   -1.15{col 46}{space 3}0.251{col 54}{space 4}-.3168349{col 67}{space 3}  .082959
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatinfo + treatinfint = 0{p_end}

{txt}       F(  1,   338) ={res}    1.32
{txt}{col 13}Prob > F ={res}    0.2507

{p 0 7}{space 1}{text:( 1)}{space 1} treatinfo - treatinter = 0{p_end}

{txt}       F(  1,   338) ={res}    0.11
{txt}{col 13}Prob > F ={res}    0.7351
{txt}
{com}.                 
.         * Health outcomes
.         
.         use "${c -(}usedata{c )-}/healthoutcome_endline_ind.dta", clear 
{txt}
{com}.         
.         * We regress the healthoutcome of endline
.         
.         local x healthout_z
{txt}
{com}.                 
.         areg  e_healthoutcome_z treatinfo treatinter treatinfint b_healthoutcome_z b_healthoutcome_z_d  `infint_int_e_controls' `e_controls' `treatinfo_int_e_controls' `treatinter_int_e_controls', robust cl(hc_id) a(district)

{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}    10,023
{txt}{col 49}F({res}  29{txt},{res}    375{txt}){col 67}= {res}     45.15
{txt}{col 49}Prob > F{col 67}= {res}    0.0000
{txt}{col 49}R-squared{col 67}= {res}    0.1032
{txt}{col 49}Adj R-squared{col 67}= {res}    0.0993
{txt}{col 49}Root MSE{col 67}= {res}    0.8987

{txt}{ralign 78:(Std. Err. adjusted for {res:376} clusters in hc_id)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}e_healthou~z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatinfo {c |}{col 14}{res}{space 2}-.0228509{col 26}{space 2}  .029242{col 37}{space 1}   -0.78{col 46}{space 3}0.435{col 54}{space 4}-.0803497{col 67}{space 3} .0346479
{txt}{space 2}treatinter {c |}{col 14}{res}{space 2} -.010682{col 26}{space 2} .0275243{col 37}{space 1}   -0.39{col 46}{space 3}0.698{col 54}{space 4}-.0648033{col 67}{space 3} .0434393
{txt}{space 1}treatinfint {c |}{col 14}{res}{space 2} .0303823{col 26}{space 2} .0389209{col 37}{space 1}    0.78{col 46}{space 3}0.436{col 54}{space 4}-.0461483{col 67}{space 3} .1069128
{txt}b_healthou~z {c |}{col 14}{res}{space 2}  .112174{col 26}{space 2} .0106248{col 37}{space 1}   10.56{col 46}{space 3}0.000{col 54}{space 4} .0912824{col 67}{space 3} .1330656
{txt}b_healthou~d {c |}{col 14}{res}{space 2} .6469913{col 26}{space 2} .0188629{col 37}{space 1}   34.30{col 46}{space 3}0.000{col 54}{space 4}  .609901{col 67}{space 3} .6840816
{txt}c_infint_hc2 {c |}{col 14}{res}{space 2} -.020579{col 26}{space 2} .0918128{col 37}{space 1}   -0.22{col 46}{space 3}0.823{col 54}{space 4}-.2011115{col 67}{space 3} .1599534
{txt}c_infint_b~l {c |}{col 14}{res}{space 2}-.0606362{col 26}{space 2} .0990942{col 37}{space 1}   -0.61{col 46}{space 3}0.541{col 54}{space 4} -.255486{col 67}{space 3} .1342137
{txt}c_infint_b~s {c |}{col 14}{res}{space 2}-.0998035{col 26}{space 2} .1116614{col 37}{space 1}   -0.89{col 46}{space 3}0.372{col 54}{space 4}-.3193643{col 67}{space 3} .1197574
{txt}c_infint_b~d {c |}{col 14}{res}{space 2} .1523972{col 26}{space 2} .1569367{col 37}{space 1}    0.97{col 46}{space 3}0.332{col 54}{space 4}-.1561889{col 67}{space 3} .4609834
{txt}c_infint_e~r {c |}{col 14}{res}{space 2} .0010033{col 26}{space 2} .0096644{col 37}{space 1}    0.10{col 46}{space 3}0.917{col 54}{space 4}-.0179999{col 67}{space 3} .0200064
{txt}c_infint_b~x {c |}{col 14}{res}{space 2}  .017914{col 26}{space 2}   .04297{col 37}{space 1}    0.42{col 46}{space 3}0.677{col 54}{space 4}-.0665784{col 67}{space 3} .1024064
{txt}{space 7}c_hc2 {c |}{col 14}{res}{space 2} .0379522{col 26}{space 2} .0496749{col 37}{space 1}    0.76{col 46}{space 3}0.445{col 54}{space 4}-.0597242{col 67}{space 3} .1356285
{txt}{space 3}c_b_h_del {c |}{col 14}{res}{space 2}-.0038638{col 26}{space 2} .0621885{col 37}{space 1}   -0.06{col 46}{space 3}0.950{col 54}{space 4}-.1261457{col 67}{space 3}  .118418
{txt}c_b_h_staf~s {c |}{col 14}{res}{space 2} .0015708{col 26}{space 2} .0646109{col 37}{space 1}    0.02{col 46}{space 3}0.981{col 54}{space 4}-.1254743{col 67}{space 3} .1286158
{txt}c_b_visite~d {c |}{col 14}{res}{space 2} .0691144{col 26}{space 2} .0876701{col 37}{space 1}    0.79{col 46}{space 3}0.431{col 54}{space 4}-.1032723{col 67}{space 3} .2415011
{txt}{space 4}c_educyr {c |}{col 14}{res}{space 2} .0097398{col 26}{space 2} .0053529{col 37}{space 1}    1.82{col 46}{space 3}0.070{col 54}{space 4}-.0007856{col 67}{space 3} .0202653
{txt}c_b_asseti~x {c |}{col 14}{res}{space 2} .0713352{col 26}{space 2} .0246538{col 37}{space 1}    2.89{col 46}{space 3}0.004{col 54}{space 4} .0228582{col 67}{space 3} .1198123
{txt}c_trea~o_hc2 {c |}{col 14}{res}{space 2}-.0715614{col 26}{space 2} .0651551{col 37}{space 1}   -1.10{col 46}{space 3}0.273{col 54}{space 4}-.1996764{col 67}{space 3} .0565537
{txt}c_~o_b_h_del {c |}{col 14}{res}{space 2}-.0021008{col 26}{space 2} .0730119{col 37}{space 1}   -0.03{col 46}{space 3}0.977{col 54}{space 4}-.1456647{col 67}{space 3} .1414632
{txt}c_treatinf.. {c |}{col 14}{res}{space 2}-.0247122{col 26}{space 2} .0849856{col 37}{space 1}   -0.29{col 46}{space 3}0.771{col 54}{space 4}-.1918202{col 67}{space 3} .1423957
{txt}c_treatinf.. {c |}{col 14}{res}{space 2}-.0707933{col 26}{space 2} .1128478{col 37}{space 1}   -0.63{col 46}{space 3}0.531{col 54}{space 4}-.2926872{col 67}{space 3} .1511005
{txt}c_t~o_educyr {c |}{col 14}{res}{space 2}-.0044882{col 26}{space 2} .0069549{col 37}{space 1}   -0.65{col 46}{space 3}0.519{col 54}{space 4}-.0181637{col 67}{space 3} .0091873
{txt}c_treatinf.. {c |}{col 14}{res}{space 2}-.0382308{col 26}{space 2} .0335954{col 37}{space 1}   -1.14{col 46}{space 3}0.256{col 54}{space 4}-.1042898{col 67}{space 3} .0278282
{txt}c_trea~r_hc2 {c |}{col 14}{res}{space 2} .0077645{col 26}{space 2}  .065379{col 37}{space 1}    0.12{col 46}{space 3}0.906{col 54}{space 4}-.1207909{col 67}{space 3} .1363199
{txt}c_~r_b_h_del {c |}{col 14}{res}{space 2}-.0070166{col 26}{space 2} .0777803{col 37}{space 1}   -0.09{col 46}{space 3}0.928{col 54}{space 4}-.1599568{col 67}{space 3} .1459236
{txt}c_treatint.. {c |}{col 14}{res}{space 2}  .091461{col 26}{space 2} .0800311{col 37}{space 1}    1.14{col 46}{space 3}0.254{col 54}{space 4}-.0659051{col 67}{space 3}  .248827
{txt}c_treatint.. {c |}{col 14}{res}{space 2}-.1751435{col 26}{space 2} .1245884{col 37}{space 1}   -1.41{col 46}{space 3}0.161{col 54}{space 4}-.4201229{col 67}{space 3} .0698358
{txt}c_t~r_educyr {c |}{col 14}{res}{space 2} .0033032{col 26}{space 2} .0074425{col 37}{space 1}    0.44{col 46}{space 3}0.657{col 54}{space 4} -.011331{col 67}{space 3} .0179374
{txt}c_treatint.. {c |}{col 14}{res}{space 2}-.0381895{col 26}{space 2} .0316857{col 37}{space 1}   -1.21{col 46}{space 3}0.229{col 54}{space 4}-.1004934{col 67}{space 3} .0241143
{txt}{space 7}_cons {c |}{col 14}{res}{space 2}-.4881722{col 26}{space 2} .0219379{col 37}{space 1}  -22.25{col 46}{space 3}0.000{col 54}{space 4}-.5313088{col 67}{space 3}-.4450356
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{com}.                 
.                 local n_1_`x' = string(`e(N)',"%9.0fc")
{txt}
{com}.                 
.                 local r2_1_`x' = string(`e(r2)',"%9.3fc")
{txt}
{com}.                 local est_1_`x' = string(_b[treatinfo],"%9.3fc")
{txt}
{com}.                 local se_1_`x' = string(_se[treatinfo],"%9.3fc")
{txt}
{com}.                 local p_1_`x' = (2 * ttail(e(df_r), abs(_b[treatinfo]/_se[treatinfo])))
{txt}
{com}.                 
.                 gen s_1_1s_`x' = (`p_1_`x''<=0.1 & `p_1_`x''>0.05)
{txt}
{com}.                 gen s_1_2s_`x' = (`p_1_`x''<=0.05 & `p_1_`x''>0.01)
{txt}
{com}.                 gen s_1_3s_`x' = (`p_1_`x''<=0.01 & `p_1_`x''>=0)
{txt}
{com}.         
.                 if s_1_1s_`x' == 1 {c -(}
.                                 local est_1_`x' = "`est_1_`x''*"
.                                 {c )-}
{txt}
{com}.                                 
.                 if s_1_2s_`x' == 1 {c -(}
.                                 local est_1_`x' = "`est_1_`x''**"
.                                 {c )-}
{txt}
{com}.                                 
.                 if s_1_3s_`x' == 1 {c -(}
.                                 local est_1_`x' = "`est_1_`x''***"
.                                 {c )-}
{txt}
{com}.                 
.                 local est_2_`x' = string(_b[treatinter],"%9.3fc")
{txt}
{com}.                 local se_2_`x' = string(_se[treatinter],"%9.3fc")
{txt}
{com}.                 local p_2_`x' = (2 * ttail(e(df_r), abs(_b[treatinter]/_se[treatinter])))
{txt}
{com}.                 
.                 gen s_2_1s_`x' = (`p_2_`x''<=0.1 & `p_2_`x''>0.05)
{txt}
{com}.                 gen s_2_2s_`x' = (`p_2_`x''<=0.05 & `p_2_`x''>0.01)
{txt}
{com}.                 gen s_2_3s_`x' = (`p_2_`x''<=0.01 & `p_2_`x''>=0)
{txt}
{com}.         
.                 if s_2_1s_`x' == 1 {c -(}
.                                 local est_2_`x' = "`est_2_`x''*"
.                                 {c )-}
{txt}
{com}.                                 
.                 if s_2_2s_`x' == 1 {c -(}
.                                 local est_2_`x' = "`est_2_`x''**"
.                                 {c )-}
{txt}
{com}.                                 
.                 if s_2_3s_`x' == 1 {c -(}
.                                 local est_2_`x' = "`est_2_`x''***"
.                                 {c )-}
{txt}
{com}.                 
.                 local e_3_`x' = string(_b[treatinfint],"%9.3fc")
{txt}
{com}.                 local se_3_`x' = string(_se[treatinfint],"%9.3fc")
{txt}
{com}.                 local p_3_`x' = (2 * ttail(e(df_r), abs(_b[treatinfint]/_se[treatinfint])))
{txt}
{com}.                 
.                 gen s_3_1s_`x' = (`p_3_`x''<=0.1 & `p_3_`x''>0.05)
{txt}
{com}.                 gen s_3_2s_`x' = (`p_3_`x''<=0.05 & `p_3_`x''>0.01)
{txt}
{com}.                 gen s_3_3s_`x' = (`p_3_`x''<=0.01 & `p_3_`x''>=0)
{txt}
{com}.         
.                 if s_3_1s_`x' == 1 {c -(}
.                                 local e_3_`x' = "`e_3_`x''*"
.                                 {c )-}
{txt}
{com}.                                 
.                 if s_3_2s_`x' == 1 {c -(}
.                                 local e_3_`x' = "`e_3_`x''**"
.                                 {c )-}
{txt}
{com}.                                 
.                 if s_3_3s_`x' == 1 {c -(}
.                                 local e_3_`x' = "`e_3_`x''***"
.                                 {c )-}
{txt}
{com}.                                 
.                 local est_4_`x' = string(_b[_cons],"%9.3fc")
{txt}
{com}.                 local se_4_`x' = string(_se[_cons],"%9.3fc")
{txt}
{com}.                 local p_4_`x' = (2 * ttail(e(df_r), abs(_b[_cons]/_se[_cons])))
{txt}
{com}.                 
.                 gen s_4_1s_`x' = (`p_4_`x''<=0.1 & `p_4_`x''>0.05)
{txt}
{com}.                 gen s_4_2s_`x' = (`p_4_`x''<=0.05 & `p_4_`x''>0.01)
{txt}
{com}.                 gen s_4_3s_`x' = (`p_4_`x''<=0.01 & `p_4_`x''>=0)
{txt}
{com}.         
.                 if s_4_1s_`x' == 1 {c -(}
.                                 local est_4_`x' = "`est_4_`x''*"
.                                 {c )-}
{txt}
{com}.                                 
.                 if s_4_2s_`x' == 1 {c -(}
.                                 local est_4_`x' = "`est_4_`x''**"
.                                 {c )-}
{txt}
{com}.                                 
.                 if s_4_3s_`x' == 1 {c -(}
.                                 local est_4_`x' = "`est_4_`x''***"
.                                 {c )-}
{txt}
{com}.         
.                 lincom treatinfo + treatinfint

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatinfo + treatinfint = 0{p_end}

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}e_healthou~z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}(1) {c |}{col 14}{res}{space 2} .0075314{col 26}{space 2} .0254394{col 37}{space 1}    0.30{col 46}{space 3}0.767{col 54}{space 4}-.0424904{col 67}{space 3} .0575531
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}.                 local est_5_`x' = string(`r(estimate)',"%9.3fc")
{txt}
{com}.                 local se_5_`x' = string(`r(se)',"%9.3fc")
{txt}
{com}.                 local se_5_`x' = "(`se_5_`x'')"
{txt}
{com}.                 test treatinfo + treatinfint = 0

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatinfo + treatinfint = 0{p_end}

{txt}       F(  1,   375) ={res}    0.09
{txt}{col 13}Prob > F ={res}    0.7674
{txt}
{com}.                 local p_5_`x' = `r(p)'
{txt}
{com}.                 
.                 gen s_5_1s_`x' = (`p_5_`x''<=0.1 & `p_5_`x''>0.05)
{txt}
{com}.                 gen s_5_2s_`x' = (`p_5_`x''<=0.05 & `p_5_`x''>0.01)
{txt}
{com}.                 gen s_5_3s_`x' = (`p_5_`x''<=0.01 & `p_5_`x''>=0)
{txt}
{com}.         
.                 if s_5_1s_`x' == 1 {c -(}
.                                 local est_5_`x' = "`est_5_`x''*"
.                                 {c )-}
{txt}
{com}.                                 
.                 if s_5_2s_`x' == 1 {c -(}
.                                 local est_5_`x' = "`est_5_`x''**"
.                                 {c )-}
{txt}
{com}.                                 
.                 if s_5_3s_`x' == 1 {c -(}
.                                 local est_5_`x' = "`est_5_`x''***"
.                                 {c )-}
{txt}
{com}.                 
.                 test treatinfo = treatinter

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatinfo - treatinter = 0{p_end}

{txt}       F(  1,   375) ={res}    0.20
{txt}{col 13}Prob > F ={res}    0.6534
{txt}
{com}.                 local f_wald_`x' = string(`r(p)',"%9.3fc")
{txt}
{com}.                 
.                 drop s_*
{txt}
{com}.                 
.         
.         * We create the tables concerning the results of the main indices
.         
.         texdoc init "${c -(}tables{c )-}/TableI48.tex", replace force
{res}{txt}(texdoc output file is /Users/fredericcochinard/Dropbox/ACT_Health_JOP_replication_file/3.Tables and Figures/Tables/TableI48.tex)
{res}{txt}
{com}.         tex \begin{c -(}table{c )-}[htbp]\centering
{res}{txt}
{com}.         tex \footnotesize
{res}{txt}
{com}.         tex \def\sym#1{c -(}\ifmmode^{c -(}#1{c )-}\else\(^{c -(}#1{c )-}\)\fi{c )-}
{res}{txt}
{com}.         tex \caption{c -(}Main outcomes -- All treatments{c )-}
{res}{txt}
{com}.         tex \begin{c -(}tabular{c )-}{c -(}lgggggggg{c )-}
{res}{txt}
{com}.         tex \toprule
{res}{txt}
{com}.         tex                                                                                       & (1)                       & (2)                                                          & (3)                                                             & (4)                                                        & (5) & (6) & (7)                       \\
{res}{txt}
{com}.     tex \multirow{c -(}-2{c )-}{c -(}*{c )-}{c -(}{c )-}                          & \textbf{c -(}\begin{c -(}tabular{c )-}[c]{c -(}@{c -(}{c )-}c@{c -(}{c )-}{c )-}Citizen \\ monitoring\end{c -(}tabular{c )-}{c )-} & \textbf{c -(}\begin{c -(}tabular{c )-}[c]{c -(}@{c -(}{c )-}c@{c -(}{c )-}{c )-}Perceived \\ citizen \\ pressure\end{c -(}tabular{c )-}{c )-}     & \textbf{c -(}Utilization{c )-}      & \textbf{c -(}\begin{c -(}tabular{c )-}[c]{c -(}@{c -(}{c )-}c@{c -(}{c )-}{c )-}Treatment \\ quality\end{c -(}tabular{c )-}{c )-} & \textbf{c -(}\begin{c -(}tabular{c )-}[c]{c -(}@{c -(}{c )-}c@{c -(}{c )-}{c )-}Patient \\ satisfaction\end{c -(}tabular{c )-}{c )-} & \textbf{c -(}\begin{c -(}tabular{c )-}[c]{c -(}@{c -(}{c )-}c@{c -(}{c )-}{c )-}Health \\ outcomes\end{c -(}tabular{c )-}{c )-} & \textbf{c -(}\begin{c -(}tabular{c )-}[c]{c -(}@{c -(}{c )-}c@{c -(}{c )-}{c )-}Child \\ mortality\end{c -(}tabular{c )-}{c )-}        \\
{res}{txt}
{com}.         tex \midrule
{res}{txt}
{com}.         tex \multirow{c -(}2{c )-}{c -(}*{c )-}{c -(}Information{c )-}  & `est_1_commtg_z' & `est_1_h_ctzpressure_z' & `est_1_urate_z'           & `est_1_treatqual_z'                                                            & `est_1_patsat_z'                                                               & `est_1_healthout_z'                                                          & `est_1_mortrate_05'         \\
{res}{txt}
{com}.         tex  & (`se_1_commtg_z') & (`se_1_h_ctzpressure_z')  & (`se_1_urate_z')           & (`se_1_treatqual_z')                                                            & (`se_1_patsat_z')                                                               & (`se_1_healthout_z')                                                          & (`se_1_mortrate_05')         \\
{res}{txt}
{com}.         tex \multirow{c -(}2{c )-}{c -(}*{c )-}{c -(}Interface{c )-}  & `est_2_commtg_z' & `est_2_h_ctzpressure_z' & `est_2_urate_z'           & `est_2_treatqual_z'                                                            & `est_2_patsat_z'                                                               & `est_2_healthout_z'                                                          & `est_2_mortrate_05'         \\
{res}{txt}
{com}.         tex  & (`se_2_commtg_z') & (`se_2_h_ctzpressure_z') & (`se_2_urate_z')           & (`se_2_treatqual_z')                                                            & (`se_2_patsat_z')                                                               & (`se_2_healthout_z')                                                          & (`se_2_mortrate_05')         \\
{res}{txt}
{com}.         tex \multirow{c -(}2{c )-}{c -(}*{c )-}{c -(}Information x Interface{c )-}  & `e_3_commtg_z' & `e_3_h_ctzpressure_z' & `e_3_urate_z'           & `e_3_treatqual_z'                                                            & `e_3_patsat_z'                                                               & `e_3_healthout_z'                                                          & `e_3_mortrate_05'         \\
{res}{txt}
{com}.         tex  & (`se_3_commtg_z') & (`se_3_h_ctzpressure_z') & (`se_3_urate_z')           & (`se_3_treatqual_z')                                                            & (`se_3_patsat_z')                                                               & (`se_3_healthout_z')                                                          & (`se_3_mortrate_05')         \\
{res}{txt}
{com}.         tex \multirow{c -(}2{c )-}{c -(}*{c )-}{c -(}Constant{c )-}  & `est_4_commtg_z' & `est_4_h_ctzpressure_z'  & `est_4_urate_z'           & `est_4_treatqual_z'                                                            & `est_4_patsat_z'                                                               & `est_4_healthout_z'                                                          & `est_4_mortrate_05'         \\
{res}{txt}
{com}.         tex  & (`se_4_commtg_z') & (`se_4_h_ctzpressure_z') & (`se_4_urate_z')           & (`se_4_treatqual_z')                                                            & (`se_4_patsat_z')                                                               & (`se_4_healthout_z')                                                          & (`se_4_mortrate_05')         \\
{res}{txt}
{com}.         tex \midrule
{res}{txt}
{com}.         tex \multirow{c -(}1{c )-}{c -(}*{c )-}{c -(}N{c )-} & `n_1_commtg_z' & `n_1_h_ctzpressure_z' & `n_1_urate_z'           & `n_1_treatqual_z'                                                            & `n_1_patsat_z'                                                             & `n_1_healthout_z'                                                          & `n_1_mortrate_05'         \\
{res}{txt}
{com}.         tex \multirow{c -(}1{c )-}{c -(}*{c )-}{c -(}R$^{c -(}2{c )-}${c )-}   & `r2_1_commtg_z'  & `r2_1_h_ctzpressure_z'  & `r2_1_urate_z'           & `r2_1_treatqual_z'                                                           & `r2_1_patsat_z'                                                               & `r2_1_healthout_z'                                                         & `r2_1_mortrate_05'         \\
{res}{txt}
{com}.         tex \multirow{c -(}2{c )-}{c -(}*{c )-}{c -(}Informantion + Information x Interface{c )-}   & `est_5_commtg_z' & `est_5_h_ctzpressure_z'  & `est_5_urate_z'           & `est_5_treatqual_z'                                                            & `est_5_patsat_z'                                                              & `est_5_healthout_z'                                                          & `est_5_mortrate_05'         \\
{res}{txt}
{com}.         tex & `se_5_commtg_z' & `se_5_h_ctzpressure_z' & `se_5_urate_z'           & `se_5_treatqual_z'                                                            & `se_5_patsat_z'                                                              & `se_5_healthout_z'                                                          & `se_5_mortrate_05'         \\
{res}{txt}
{com}.         tex \multirow{c -(}1{c )-}{c -(}*{c )-}{c -(}P-value (Information = Interface){c )-}           & `f_wald_commtg_z'   & `f_wald_h_ctzpressure_z'              & `f_wald_urate_z'           & `f_wald_treatqual_z'                                                            & `f_wald_patsat_z'                                                              & `f_wald_healthout_z'                                                          & `f_wald_mortrate_05'         \\
{res}{txt}
{com}.         tex \bottomrule
{res}{txt}
{com}.         tex \end{c -(}tabular{c )-}
{res}{txt}
{com}.         tex \end{c -(}table{c )-}
{res}{txt}
{com}.         texdoc close
{txt}(texdoc output written to {browse `"/Users/fredericcochinard/Dropbox/ACT_Health_JOP_replication_file/3.Tables and Figures/Tables/TableI48.tex"':/Users/fredericcochinard/Dropbox/ACT_Health_JOP_replication_file/3.Tables and Figures/Tables/TableI48.tex})
{res}{txt}
{com}.         
.         **********************************************************
.         * Table I49: Intermediates outcomes – All treatment arms *
.         **********************************************************
.         
.         * At endline:
.         
.         use "${c -(}usedata{c )-}/chp_el_light_dataset.dta", clear
{txt}
{com}.         
.         * We create another arms called infointer which corresponds to the interraction term
.         
.         * Interface only & Information only
.         
.         gen treatinfint = (treatfull == 1)
{txt}
{com}.         la var treatinfint "Inter&Info - Not"
{txt}
{com}.         
.         * We create the new interaction for the endline
.         
.         local e_controls_noprefix hc2 b_h_del b_h_staff_houses b_visited_d educyr b_assetindex
{txt}
{com}.         
.         foreach x of local e_controls_noprefix {c -(}
{txt}  2{com}.         
.                 gen c_infint_`x' = treatinfint * c_`x'
{txt}  3{com}.                 lab var c_infint_`x' "Interaction term of contral variable `x' with interaction treatment"
{txt}  4{com}.                 
.                 gen c_infint_hc_`x' = treatinfint * c_hc_`x'
{txt}  5{com}.                 lab var c_infint_hc_`x' "Interaction term of contral variable `x' with interaction treatment at household level"
{txt}  6{com}.                 
.                 {c )-}
{txt}(686 missing values generated)
note: label truncated to 80 characters
(686 missing values generated)
note: label truncated to 80 characters
(686 missing values generated)
note: label truncated to 80 characters
(686 missing values generated)
note: label truncated to 80 characters
(686 missing values generated)
note: label truncated to 80 characters
(686 missing values generated)
note: label truncated to 80 characters

{com}.                 
.                 * Following the PAP, we need to set the following control variables
.         
.                 ** An indicator variable taking the value 1 if a health center is a HCII
.                 ** An indicator variable for whether the facility provides official delivery services
.                 ** An indicator variable for whether a health center has staff houses
.                 ** Whether household members report having used this health facility within the 12 months prior to the baseline
.                 ** Average education level of the female head of household in health center catchment area, measured in years of education
.                 ** Average household wealth level in the health center catchment area, calculated as the first component of a principal component analysis of the number of items of 17 assets (including cattle, radios, bicycles etc.) owned by the household.
.                 
.         local  e_controls_noprefix hc2 b_h_del b_h_staff_houses b_visited_d educyr b_assetindex
{txt}
{com}.                 
.         * We create the set of locals for the control variable for the main indices
.         
.         foreach x in e_ {c -(}
{txt}  2{com}.         
.                 local `x'controls
{txt}  3{com}.                 local `x'controls_hc
{txt}  4{com}.                 
.                 {c )-}
{txt}
{com}.                 
.         foreach var in treatinfint treatinfo treatinter {c -(}
{txt}  2{com}.                         
.                 local `var'_int_e_controls
{txt}  3{com}.                 local `var'_hc_int_e_controls
{txt}  4{com}.                 
.                 {c )-}
{txt}
{com}.                 
.                 
.         * We populate the set of locals for the control variable for the main indices
.         
.         foreach var of local e_controls_noprefix {c -(}
{txt}  2{com}.                 
.                 local e_controls `e_controls' c_`var'
{txt}  3{com}.                 local e_controls_hc `e_controls_hc' c_hc_`var'
{txt}  4{com}.                 
.                 {c )-}
{txt}
{com}.                                                 
.         foreach treat in infint treatinfo treatinter {c -(}
{txt}  2{com}.                 foreach var of local e_controls_noprefix {c -(}
{txt}  3{com}.                         local `treat'_int_e_controls ``treat'_int_e_controls' c_`treat'_`var'
{txt}  4{com}.                         local `treat'_hc_int_e_controls ``treat'_hc_int_e_controls' c_`treat'_hc_`var'
{txt}  5{com}.                         {c )-}
{txt}  6{com}.                 {c )-}
{txt}
{com}.                 
.         eststo clear
{txt}
{com}.         
.         * HH level outcomes
.         
.         foreach x in `intermediate' {c -(}
{txt}  2{com}.                 areg  e_`x' treatinfo treatinter treatinfint b_`x' b_`x'_d `e_controls' `infint_int_e_controls' `treatinfo_int_e_controls' `treatinter_int_e_controls', robust cl(hc_id) a(district)
{txt}  3{com}.                 local n_1_`x' = `e(N)'
{txt}  4{com}.                 local r2_1_`x' = string(`e(r2)',"%9.3fc")
{txt}  5{com}.                 local est_1_`x' = string(_b[treatinfo],"%9.3fc")
{txt}  6{com}.                 local se_1_`x' = string(_se[treatinfo],"%9.3fc")
{txt}  7{com}.                 local p_1_`x' = (2 * ttail(e(df_r), abs(_b[treatinfo]/_se[treatinfo])))
{txt}  8{com}.                 
.                 gen s_1_1s_`x' = (`p_1_`x''<=0.1 & `p_1_`x''>0.05)
{txt}  9{com}.                 gen s_1_2s_`x' = (`p_1_`x''<=0.05 & `p_1_`x''>0.01)
{txt} 10{com}.                 gen s_1_3s_`x' = (`p_1_`x''<=0.01 & `p_1_`x''>=0)
{txt} 11{com}.         
.                 if s_1_1s_`x' == 1 {c -(}
{txt} 12{com}.                                 local est_1_`x' = "`est_1_`x''*"
{txt} 13{com}.                                 {c )-}
{txt} 14{com}.                                 
.                 if s_1_2s_`x' == 1 {c -(}
{txt} 15{com}.                                 local est_1_`x' = "`est_1_`x''**"
{txt} 16{com}.                                 {c )-}
{txt} 17{com}.                                 
.                 if s_1_3s_`x' == 1 {c -(}
{txt} 18{com}.                                 local est_1_`x' = "`est_1_`x''***"
{txt} 19{com}.                                 {c )-}
{txt} 20{com}.                 
.                 local est_2_`x' = string(_b[treatinter],"%9.3fc")
{txt} 21{com}.                 local se_2_`x' = string(_se[treatinter],"%9.3fc")
{txt} 22{com}.                 local p_2_`x' = (2 * ttail(e(df_r), abs(_b[treatinter]/_se[treatinter])))
{txt} 23{com}.                 
.                 gen s_2_1s_`x' = (`p_2_`x''<=0.1 & `p_2_`x''>0.05)
{txt} 24{com}.                 gen s_2_2s_`x' = (`p_2_`x''<=0.05 & `p_2_`x''>0.01)
{txt} 25{com}.                 gen s_2_3s_`x' = (`p_2_`x''<=0.01 & `p_2_`x''>=0)
{txt} 26{com}.         
.                 if s_2_1s_`x' == 1 {c -(}
{txt} 27{com}.                                 local est_2_`x' = "`est_2_`x''*"
{txt} 28{com}.                                 {c )-}
{txt} 29{com}.                                 
.                 if s_2_2s_`x' == 1 {c -(}
{txt} 30{com}.                                 local est_2_`x' = "`est_2_`x''**"
{txt} 31{com}.                                 {c )-}
{txt} 32{com}.                                 
.                 if s_2_3s_`x' == 1 {c -(}
{txt} 33{com}.                                 local est_2_`x' = "`est_2_`x''***"
{txt} 34{com}.                                 {c )-}
{txt} 35{com}.                 
.                 local e_3_`x' = string(_b[treatinfint],"%9.3fc")
{txt} 36{com}.                 local se_3_`x' = string(_se[treatinfint],"%9.3fc")
{txt} 37{com}.                 local p_3_`x' = (2 * ttail(e(df_r), abs(_b[treatinfint]/_se[treatinfint])))
{txt} 38{com}.                 
.                 gen s_3_1s_`x' = (`p_3_`x''<=0.1 & `p_3_`x''>0.05)
{txt} 39{com}.                 gen s_3_2s_`x' = (`p_3_`x''<=0.05 & `p_3_`x''>0.01)
{txt} 40{com}.                 gen s_3_3s_`x' = (`p_3_`x''<=0.01 & `p_3_`x''>=0)
{txt} 41{com}.         
.                 if s_3_1s_`x' == 1 {c -(}
{txt} 42{com}.                                 local e_3_`x' = "`e_3_`x''*"
{txt} 43{com}.                                 {c )-}
{txt} 44{com}.                                 
.                 if s_3_2s_`x' == 1 {c -(}
{txt} 45{com}.                                 local e_3_`x' = "`e_3_`x''**"
{txt} 46{com}.                                 {c )-}
{txt} 47{com}.                                 
.                 if s_3_3s_`x' == 1 {c -(}
{txt} 48{com}.                                 local e_3_`x' = "`e_3_`x''***"
{txt} 49{com}.                                 {c )-}
{txt} 50{com}.                                 
.                 local est_4_`x' = string(_b[_cons],"%9.3fc")
{txt} 51{com}.                 local se_4_`x' = string(_se[_cons],"%9.3fc")
{txt} 52{com}.                 local p_4_`x' = (2 * ttail(e(df_r), abs(_b[_cons]/_se[_cons])))
{txt} 53{com}.                 
.                 gen s_4_1s_`x' = (`p_4_`x''<=0.1 & `p_4_`x''>0.05)
{txt} 54{com}.                 gen s_4_2s_`x' = (`p_4_`x''<=0.05 & `p_4_`x''>0.01)
{txt} 55{com}.                 gen s_4_3s_`x' = (`p_4_`x''<=0.01 & `p_4_`x''>=0)
{txt} 56{com}.         
.                 if s_4_1s_`x' == 1 {c -(}
{txt} 57{com}.                                 local est_4_`x' = "`est_4_`x''*"
{txt} 58{com}.                                 {c )-}
{txt} 59{com}.                                 
.                 if s_4_2s_`x' == 1 {c -(}
{txt} 60{com}.                                 local est_4_`x' = "`est_4_`x''**"
{txt} 61{com}.                                 {c )-}
{txt} 62{com}.                                 
.                 if s_4_3s_`x' == 1 {c -(}
{txt} 63{com}.                                 local est_4_`x' = "`est_4_`x''***"
{txt} 64{com}.                                 {c )-}
{txt} 65{com}.         
.                 lincom treatinfo + treatinfint
{txt} 66{com}.                 local est_5_`x' = string(`r(estimate)',"%9.3fc")
{txt} 67{com}.                 local se_5_`x' = string(`r(se)',"%9.3fc")
{txt} 68{com}.                 local se_5_`x' = "(`se_5_`x'')"
{txt} 69{com}.                 test treatinfo + treatinfint = 0
{txt} 70{com}.                 local p_5_`x' = `r(p)'
{txt} 71{com}.                 
.                 gen s_5_1s_`x' = (`p_5_`x''<=0.1 & `p_5_`x''>0.05)
{txt} 72{com}.                 gen s_5_2s_`x' = (`p_5_`x''<=0.05 & `p_5_`x''>0.01)
{txt} 73{com}.                 gen s_5_3s_`x' = (`p_5_`x''<=0.01 & `p_5_`x''>=0)
{txt} 74{com}.         
.                 if s_5_1s_`x' == 1 {c -(}
{txt} 75{com}.                                 local est_5_`x' = "`est_5_`x''*"
{txt} 76{com}.                                 {c )-}
{txt} 77{com}.                                 
.                 if s_5_2s_`x' == 1 {c -(}
{txt} 78{com}.                                 local est_5_`x' = "`est_5_`x''**"
{txt} 79{com}.                                 {c )-}
{txt} 80{com}.                                 
.                 if s_5_3s_`x' == 1 {c -(}
{txt} 81{com}.                                 local est_5_`x' = "`est_5_`x''***"
{txt} 82{com}.                                 {c )-}
{txt} 83{com}.                 
.                 test treatinfo = treatinter
{txt} 84{com}.                 local f_wald_`x' = string(`r(p)',"%9.3fc")
{txt} 85{com}.                 
.                 drop s_*
{txt} 86{com}.                 {c )-}
{txt}note: b_ctzknow_z_d omitted because of collinearity
note: c_infint_hc2 omitted because of collinearity
note: c_infint_b_h_del omitted because of collinearity
note: c_infint_b_h_staff_houses omitted because of collinearity
note: c_infint_b_visited_d omitted because of collinearity
note: c_infint_educyr omitted because of collinearity
note: c_infint_b_assetindex omitted because of collinearity
{res}
{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}    14,609
{txt}{col 49}F({res}  28{txt},{res}    375{txt}){col 67}= {res}     23.64
{txt}{col 49}Prob > F{col 67}= {res}    0.0000
{txt}{col 49}R-squared{col 67}= {res}    0.1927
{txt}{col 49}Adj R-squared{col 67}= {res}    0.1903
{txt}{col 49}Root MSE{col 67}= {res}    0.6122

{txt}{ralign 78:(Std. Err. adjusted for {res:376} clusters in hc_id)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1} e_ctzknow_z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatinfo {c |}{col 14}{res}{space 2} .0009343{col 26}{space 2} .0244429{col 37}{space 1}    0.04{col 46}{space 3}0.970{col 54}{space 4}-.0471279{col 67}{space 3} .0489966
{txt}{space 2}treatinter {c |}{col 14}{res}{space 2} -.030858{col 26}{space 2} .0226361{col 37}{space 1}   -1.36{col 46}{space 3}0.174{col 54}{space 4}-.0753675{col 67}{space 3} .0136516
{txt}{space 1}treatinfint {c |}{col 14}{res}{space 2}-.0239521{col 26}{space 2} .0340517{col 37}{space 1}   -0.70{col 46}{space 3}0.482{col 54}{space 4}-.0909082{col 67}{space 3}  .043004
{txt}{space 1}b_ctzknow_z {c |}{col 14}{res}{space 2} .0479781{col 26}{space 2} .0070196{col 37}{space 1}    6.83{col 46}{space 3}0.000{col 54}{space 4} .0341754{col 67}{space 3} .0617809
{txt}b_ctzknow_~d {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 7}c_hc2 {c |}{col 14}{res}{space 2}-.2081831{col 26}{space 2} .0415814{col 37}{space 1}   -5.01{col 46}{space 3}0.000{col 54}{space 4}-.2899449{col 67}{space 3}-.1264212
{txt}{space 3}c_b_h_del {c |}{col 14}{res}{space 2} .1432548{col 26}{space 2}  .045485{col 37}{space 1}    3.15{col 46}{space 3}0.002{col 54}{space 4} .0538173{col 67}{space 3} .2326924
{txt}c_b_h_staf~s {c |}{col 14}{res}{space 2}  .131973{col 26}{space 2} .0472922{col 37}{space 1}    2.79{col 46}{space 3}0.006{col 54}{space 4} .0389818{col 67}{space 3} .2249642
{txt}c_b_visite~d {c |}{col 14}{res}{space 2} .1320215{col 26}{space 2} .0401905{col 37}{space 1}    3.28{col 46}{space 3}0.001{col 54}{space 4} .0529946{col 67}{space 3} .2110485
{txt}{space 4}c_educyr {c |}{col 14}{res}{space 2} .0168637{col 26}{space 2} .0025475{col 37}{space 1}    6.62{col 46}{space 3}0.000{col 54}{space 4} .0118545{col 67}{space 3}  .021873
{txt}c_b_asseti~x {c |}{col 14}{res}{space 2} .0491762{col 26}{space 2} .0117679{col 37}{space 1}    4.18{col 46}{space 3}0.000{col 54}{space 4} .0260369{col 67}{space 3} .0723156
{txt}c_infint_hc2 {c |}{col 14}{res}{space 2} .0515847{col 26}{space 2} .0808166{col 37}{space 1}    0.64{col 46}{space 3}0.524{col 54}{space 4}-.1073259{col 67}{space 3} .2104953
{txt}c_infint_b~l {c |}{col 14}{res}{space 2} .0861707{col 26}{space 2} .0914031{col 37}{space 1}    0.94{col 46}{space 3}0.346{col 54}{space 4}-.0935561{col 67}{space 3} .2658975
{txt}c_infint_b~s {c |}{col 14}{res}{space 2} .0874065{col 26}{space 2} .0957928{col 37}{space 1}    0.91{col 46}{space 3}0.362{col 54}{space 4}-.1009519{col 67}{space 3} .2757649
{txt}c_infint_b~d {c |}{col 14}{res}{space 2} .0780157{col 26}{space 2}  .087204{col 37}{space 1}    0.89{col 46}{space 3}0.372{col 54}{space 4}-.0934543{col 67}{space 3} .2494858
{txt}c_infint_e~r {c |}{col 14}{res}{space 2} .0075292{col 26}{space 2} .0054054{col 37}{space 1}    1.39{col 46}{space 3}0.164{col 54}{space 4}-.0030996{col 67}{space 3} .0181579
{txt}c_infint_b~x {c |}{col 14}{res}{space 2}  .008009{col 26}{space 2} .0230873{col 37}{space 1}    0.35{col 46}{space 3}0.729{col 54}{space 4}-.0373877{col 67}{space 3} .0534058
{txt}c_infint_hc2 {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
c_infint_b~l {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
c_infint_b~s {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
c_infint_b~d {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
c_infint_e~r {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
c_infint_b~x {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
c_trea~o_hc2 {c |}{col 14}{res}{space 2} .0377276{col 26}{space 2} .0630336{col 37}{space 1}    0.60{col 46}{space 3}0.550{col 54}{space 4} -.086216{col 67}{space 3} .1616713
{txt}c_~o_b_h_del {c |}{col 14}{res}{space 2}-.0938967{col 26}{space 2} .0676702{col 37}{space 1}   -1.39{col 46}{space 3}0.166{col 54}{space 4}-.2269574{col 67}{space 3}  .039164
{txt}c_treatinf.. {c |}{col 14}{res}{space 2} .0019806{col 26}{space 2} .0615579{col 37}{space 1}    0.03{col 46}{space 3}0.974{col 54}{space 4}-.1190612{col 67}{space 3} .1230225
{txt}c_treatinf.. {c |}{col 14}{res}{space 2}-.0264775{col 26}{space 2} .0580849{col 37}{space 1}   -0.46{col 46}{space 3}0.649{col 54}{space 4}-.1406904{col 67}{space 3} .0877354
{txt}c_t~o_educyr {c |}{col 14}{res}{space 2}  -.00441{col 26}{space 2} .0036209{col 37}{space 1}   -1.22{col 46}{space 3}0.224{col 54}{space 4}-.0115299{col 67}{space 3} .0027099
{txt}c_treatinf.. {c |}{col 14}{res}{space 2}-.0042321{col 26}{space 2}  .015572{col 37}{space 1}   -0.27{col 46}{space 3}0.786{col 54}{space 4}-.0348515{col 67}{space 3} .0263873
{txt}c_trea~r_hc2 {c |}{col 14}{res}{space 2}-.0549408{col 26}{space 2} .0525188{col 37}{space 1}   -1.05{col 46}{space 3}0.296{col 54}{space 4} -.158209{col 67}{space 3} .0483274
{txt}c_~r_b_h_del {c |}{col 14}{res}{space 2}-.0561673{col 26}{space 2} .0633976{col 37}{space 1}   -0.89{col 46}{space 3}0.376{col 54}{space 4}-.1808265{col 67}{space 3}  .068492
{txt}c_treatint.. {c |}{col 14}{res}{space 2}-.1623072{col 26}{space 2} .0652239{col 37}{space 1}   -2.49{col 46}{space 3}0.013{col 54}{space 4}-.2905576{col 67}{space 3}-.0340569
{txt}c_treatint.. {c |}{col 14}{res}{space 2} .0252381{col 26}{space 2} .0602949{col 37}{space 1}    0.42{col 46}{space 3}0.676{col 54}{space 4}-.0933204{col 67}{space 3} .1437965
{txt}c_t~r_educyr {c |}{col 14}{res}{space 2}-.0067273{col 26}{space 2} .0036486{col 37}{space 1}   -1.84{col 46}{space 3}0.066{col 54}{space 4}-.0139016{col 67}{space 3} .0004471
{txt}c_treatint.. {c |}{col 14}{res}{space 2} .0007281{col 26}{space 2} .0171237{col 37}{space 1}    0.04{col 46}{space 3}0.966{col 54}{space 4}-.0329423{col 67}{space 3} .0343985
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} -.019486{col 26}{space 2} .0165434{col 37}{space 1}   -1.18{col 46}{space 3}0.240{col 54}{space 4}-.0520155{col 67}{space 3} .0130436
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatinfo + treatinfint = 0{p_end}

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1} e_ctzknow_z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}(1) {c |}{col 14}{res}{space 2}-.0230178{col 26}{space 2}  .023469{col 37}{space 1}   -0.98{col 46}{space 3}0.327{col 54}{space 4}-.0691652{col 67}{space 3} .0231296
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatinfo + treatinfint = 0{p_end}

{txt}       F(  1,   375) ={res}    0.96
{txt}{col 13}Prob > F ={res}    0.3273

{p 0 7}{space 1}{text:( 1)}{space 1} treatinfo - treatinter = 0{p_end}

{txt}       F(  1,   375) ={res}    1.81
{txt}{col 13}Prob > F ={res}    0.1790
{txt}note: b_eff_z_d omitted because of collinearity
note: c_infint_hc2 omitted because of collinearity
note: c_infint_b_h_del omitted because of collinearity
note: c_infint_b_h_staff_houses omitted because of collinearity
note: c_infint_b_visited_d omitted because of collinearity
note: c_infint_educyr omitted because of collinearity
note: c_infint_b_assetindex omitted because of collinearity
{res}
{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}    14,609
{txt}{col 49}F({res}  28{txt},{res}    375{txt}){col 67}= {res}      8.44
{txt}{col 49}Prob > F{col 67}= {res}    0.0000
{txt}{col 49}R-squared{col 67}= {res}    0.0441
{txt}{col 49}Adj R-squared{col 67}= {res}    0.0413
{txt}{col 49}Root MSE{col 67}= {res}    0.6175

{txt}{ralign 78:(Std. Err. adjusted for {res:376} clusters in hc_id)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}     e_eff_z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatinfo {c |}{col 14}{res}{space 2}   .00584{col 26}{space 2} .0226993{col 37}{space 1}    0.26{col 46}{space 3}0.797{col 54}{space 4}-.0387939{col 67}{space 3} .0504739
{txt}{space 2}treatinter {c |}{col 14}{res}{space 2}-.0106627{col 26}{space 2} .0218004{col 37}{space 1}   -0.49{col 46}{space 3}0.625{col 54}{space 4}-.0535291{col 67}{space 3} .0322036
{txt}{space 1}treatinfint {c |}{col 14}{res}{space 2}-.0145963{col 26}{space 2} .0325523{col 37}{space 1}   -0.45{col 46}{space 3}0.654{col 54}{space 4}-.0786042{col 67}{space 3} .0494115
{txt}{space 5}b_eff_z {c |}{col 14}{res}{space 2} .0708817{col 26}{space 2} .0079283{col 37}{space 1}    8.94{col 46}{space 3}0.000{col 54}{space 4} .0552922{col 67}{space 3} .0864711
{txt}{space 3}b_eff_z_d {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 7}c_hc2 {c |}{col 14}{res}{space 2} .0456479{col 26}{space 2} .0370093{col 37}{space 1}    1.23{col 46}{space 3}0.218{col 54}{space 4}-.0271239{col 67}{space 3} .1184197
{txt}{space 3}c_b_h_del {c |}{col 14}{res}{space 2} .0657729{col 26}{space 2} .0458351{col 37}{space 1}    1.43{col 46}{space 3}0.152{col 54}{space 4}-.0243531{col 67}{space 3} .1558989
{txt}c_b_h_staf~s {c |}{col 14}{res}{space 2} .0353661{col 26}{space 2} .0515716{col 37}{space 1}    0.69{col 46}{space 3}0.493{col 54}{space 4}-.0660396{col 67}{space 3} .1367718
{txt}c_b_visite~d {c |}{col 14}{res}{space 2} .0031145{col 26}{space 2} .0458832{col 37}{space 1}    0.07{col 46}{space 3}0.946{col 54}{space 4}-.0871062{col 67}{space 3} .0933351
{txt}{space 4}c_educyr {c |}{col 14}{res}{space 2} .0111909{col 26}{space 2} .0025429{col 37}{space 1}    4.40{col 46}{space 3}0.000{col 54}{space 4} .0061908{col 67}{space 3} .0161911
{txt}c_b_asseti~x {c |}{col 14}{res}{space 2}  .042123{col 26}{space 2} .0126408{col 37}{space 1}    3.33{col 46}{space 3}0.001{col 54}{space 4} .0172673{col 67}{space 3} .0669787
{txt}c_infint_hc2 {c |}{col 14}{res}{space 2}-.0264113{col 26}{space 2} .0720735{col 37}{space 1}   -0.37{col 46}{space 3}0.714{col 54}{space 4}-.1681302{col 67}{space 3} .1153075
{txt}c_infint_b~l {c |}{col 14}{res}{space 2} .0074083{col 26}{space 2} .0807604{col 37}{space 1}    0.09{col 46}{space 3}0.927{col 54}{space 4}-.1513917{col 67}{space 3} .1662084
{txt}c_infint_b~s {c |}{col 14}{res}{space 2}-.0135462{col 26}{space 2} .0967393{col 37}{space 1}   -0.14{col 46}{space 3}0.889{col 54}{space 4}-.2037657{col 67}{space 3} .1766733
{txt}c_infint_b~d {c |}{col 14}{res}{space 2}-.0428187{col 26}{space 2} .0948755{col 37}{space 1}   -0.45{col 46}{space 3}0.652{col 54}{space 4}-.2293734{col 67}{space 3}  .143736
{txt}c_infint_e~r {c |}{col 14}{res}{space 2} .0107865{col 26}{space 2} .0053677{col 37}{space 1}    2.01{col 46}{space 3}0.045{col 54}{space 4} .0002321{col 67}{space 3}  .021341
{txt}c_infint_b~x {c |}{col 14}{res}{space 2}-.0281533{col 26}{space 2}  .024704{col 37}{space 1}   -1.14{col 46}{space 3}0.255{col 54}{space 4} -.076729{col 67}{space 3} .0204224
{txt}c_infint_hc2 {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
c_infint_b~l {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
c_infint_b~s {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
c_infint_b~d {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
c_infint_e~r {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
c_infint_b~x {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
c_trea~o_hc2 {c |}{col 14}{res}{space 2} .0372495{col 26}{space 2} .0521506{col 37}{space 1}    0.71{col 46}{space 3}0.476{col 54}{space 4}-.0652949{col 67}{space 3} .1397938
{txt}c_~o_b_h_del {c |}{col 14}{res}{space 2}-.0624526{col 26}{space 2} .0569185{col 37}{space 1}   -1.10{col 46}{space 3}0.273{col 54}{space 4} -.174372{col 67}{space 3} .0494667
{txt}c_treatinf.. {c |}{col 14}{res}{space 2} .0591074{col 26}{space 2} .0664109{col 37}{space 1}    0.89{col 46}{space 3}0.374{col 54}{space 4}-.0714771{col 67}{space 3}  .189692
{txt}c_treatinf.. {c |}{col 14}{res}{space 2} .0803634{col 26}{space 2} .0676413{col 37}{space 1}    1.19{col 46}{space 3}0.236{col 54}{space 4}-.0526403{col 67}{space 3} .2133671
{txt}c_t~o_educyr {c |}{col 14}{res}{space 2}-.0077136{col 26}{space 2} .0035678{col 37}{space 1}   -2.16{col 46}{space 3}0.031{col 54}{space 4} -.014729{col 67}{space 3}-.0006982
{txt}c_treatinf.. {c |}{col 14}{res}{space 2} .0039396{col 26}{space 2} .0164313{col 37}{space 1}    0.24{col 46}{space 3}0.811{col 54}{space 4}-.0283694{col 67}{space 3} .0362485
{txt}c_trea~r_hc2 {c |}{col 14}{res}{space 2} -.056691{col 26}{space 2} .0484314{col 37}{space 1}   -1.17{col 46}{space 3}0.243{col 54}{space 4}-.1519222{col 67}{space 3} .0385402
{txt}c_~r_b_h_del {c |}{col 14}{res}{space 2} -.062506{col 26}{space 2} .0597231{col 37}{space 1}   -1.05{col 46}{space 3}0.296{col 54}{space 4}-.1799401{col 67}{space 3} .0549282
{txt}c_treatint.. {c |}{col 14}{res}{space 2}-.0747763{col 26}{space 2} .0664137{col 37}{space 1}   -1.13{col 46}{space 3}0.261{col 54}{space 4}-.2053663{col 67}{space 3} .0558137
{txt}c_treatint.. {c |}{col 14}{res}{space 2} .0474557{col 26}{space 2}  .066992{col 37}{space 1}    0.71{col 46}{space 3}0.479{col 54}{space 4}-.0842714{col 67}{space 3} .1791827
{txt}c_t~r_educyr {c |}{col 14}{res}{space 2}-.0077576{col 26}{space 2} .0038531{col 37}{space 1}   -2.01{col 46}{space 3}0.045{col 54}{space 4} -.015334{col 67}{space 3}-.0001811
{txt}c_treatint.. {c |}{col 14}{res}{space 2} .0048232{col 26}{space 2} .0186299{col 37}{space 1}    0.26{col 46}{space 3}0.796{col 54}{space 4} -.031809{col 67}{space 3} .0414555
{txt}{space 7}_cons {c |}{col 14}{res}{space 2}-.0031869{col 26}{space 2}  .015407{col 37}{space 1}   -0.21{col 46}{space 3}0.836{col 54}{space 4}-.0334818{col 67}{space 3}  .027108
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatinfo + treatinfint = 0{p_end}

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}     e_eff_z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}(1) {c |}{col 14}{res}{space 2}-.0087563{col 26}{space 2} .0233399{col 37}{space 1}   -0.38{col 46}{space 3}0.708{col 54}{space 4}-.0546498{col 67}{space 3} .0371371
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatinfo + treatinfint = 0{p_end}

{txt}       F(  1,   375) ={res}    0.14
{txt}{col 13}Prob > F ={res}    0.7077

{p 0 7}{space 1}{text:( 1)}{space 1} treatinfo - treatinter = 0{p_end}

{txt}       F(  1,   375) ={res}    0.53
{txt}{col 13}Prob > F ={res}    0.4674
{txt}note: b_commresp_z_d omitted because of collinearity
note: c_infint_hc2 omitted because of collinearity
note: c_infint_b_h_del omitted because of collinearity
note: c_infint_b_h_staff_houses omitted because of collinearity
note: c_infint_b_visited_d omitted because of collinearity
note: c_infint_educyr omitted because of collinearity
note: c_infint_b_assetindex omitted because of collinearity
{res}
{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}    14,609
{txt}{col 49}F({res}  28{txt},{res}    375{txt}){col 67}= {res}      6.16
{txt}{col 49}Prob > F{col 67}= {res}    0.0000
{txt}{col 49}R-squared{col 67}= {res}    0.0472
{txt}{col 49}Adj R-squared{col 67}= {res}    0.0443
{txt}{col 49}Root MSE{col 67}= {res}    0.7272

{txt}{ralign 78:(Std. Err. adjusted for {res:376} clusters in hc_id)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}e_commresp_z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatinfo {c |}{col 14}{res}{space 2} .0008399{col 26}{space 2} .0221741{col 37}{space 1}    0.04{col 46}{space 3}0.970{col 54}{space 4}-.0427613{col 67}{space 3}  .044441
{txt}{space 2}treatinter {c |}{col 14}{res}{space 2}-.0247931{col 26}{space 2}  .020924{col 37}{space 1}   -1.18{col 46}{space 3}0.237{col 54}{space 4}-.0659362{col 67}{space 3}   .01635
{txt}{space 1}treatinfint {c |}{col 14}{res}{space 2} .0124988{col 26}{space 2} .0300056{col 37}{space 1}    0.42{col 46}{space 3}0.677{col 54}{space 4}-.0465015{col 67}{space 3}  .071499
{txt}b_commresp_z {c |}{col 14}{res}{space 2} .0669775{col 26}{space 2} .0093553{col 37}{space 1}    7.16{col 46}{space 3}0.000{col 54}{space 4} .0485822{col 67}{space 3} .0853729
{txt}b_commresp~d {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 7}c_hc2 {c |}{col 14}{res}{space 2} .0742671{col 26}{space 2} .0407765{col 37}{space 1}    1.82{col 46}{space 3}0.069{col 54}{space 4}-.0059123{col 67}{space 3} .1544464
{txt}{space 3}c_b_h_del {c |}{col 14}{res}{space 2} .0225779{col 26}{space 2} .0438585{col 37}{space 1}    0.51{col 46}{space 3}0.607{col 54}{space 4}-.0636615{col 67}{space 3} .1088173
{txt}c_b_h_staf~s {c |}{col 14}{res}{space 2} .0712426{col 26}{space 2}  .038368{col 37}{space 1}    1.86{col 46}{space 3}0.064{col 54}{space 4}-.0042008{col 67}{space 3} .1466859
{txt}c_b_visite~d {c |}{col 14}{res}{space 2} .0216357{col 26}{space 2} .0548815{col 37}{space 1}    0.39{col 46}{space 3}0.694{col 54}{space 4}-.0862783{col 67}{space 3} .1295498
{txt}{space 4}c_educyr {c |}{col 14}{res}{space 2} .0061223{col 26}{space 2} .0026752{col 37}{space 1}    2.29{col 46}{space 3}0.023{col 54}{space 4} .0008621{col 67}{space 3} .0113826
{txt}c_b_asseti~x {c |}{col 14}{res}{space 2} .0395753{col 26}{space 2} .0144687{col 37}{space 1}    2.74{col 46}{space 3}0.007{col 54}{space 4} .0111254{col 67}{space 3} .0680252
{txt}c_infint_hc2 {c |}{col 14}{res}{space 2} .1065017{col 26}{space 2} .0771453{col 37}{space 1}    1.38{col 46}{space 3}0.168{col 54}{space 4}-.0451899{col 67}{space 3} .2581932
{txt}c_infint_b~l {c |}{col 14}{res}{space 2} .0863336{col 26}{space 2}  .079751{col 37}{space 1}    1.08{col 46}{space 3}0.280{col 54}{space 4}-.0704815{col 67}{space 3} .2431488
{txt}c_infint_b~s {c |}{col 14}{res}{space 2} .1039821{col 26}{space 2} .0680457{col 37}{space 1}    1.53{col 46}{space 3}0.127{col 54}{space 4}-.0298169{col 67}{space 3} .2377812
{txt}c_infint_b~d {c |}{col 14}{res}{space 2}-.1918564{col 26}{space 2} .1063618{col 37}{space 1}   -1.80{col 46}{space 3}0.072{col 54}{space 4}-.4009966{col 67}{space 3} .0172839
{txt}c_infint_e~r {c |}{col 14}{res}{space 2} .0108067{col 26}{space 2} .0064135{col 37}{space 1}    1.68{col 46}{space 3}0.093{col 54}{space 4}-.0018043{col 67}{space 3} .0234177
{txt}c_infint_b~x {c |}{col 14}{res}{space 2}-.0315434{col 26}{space 2} .0283222{col 37}{space 1}   -1.11{col 46}{space 3}0.266{col 54}{space 4}-.0872336{col 67}{space 3} .0241468
{txt}c_infint_hc2 {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
c_infint_b~l {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
c_infint_b~s {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
c_infint_b~d {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
c_infint_e~r {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
c_infint_b~x {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
c_trea~o_hc2 {c |}{col 14}{res}{space 2}-.0088523{col 26}{space 2} .0570816{col 37}{space 1}   -0.16{col 46}{space 3}0.877{col 54}{space 4}-.1210925{col 67}{space 3} .1033878
{txt}c_~o_b_h_del {c |}{col 14}{res}{space 2}-.0194016{col 26}{space 2} .0605654{col 37}{space 1}   -0.32{col 46}{space 3}0.749{col 54}{space 4}-.1384919{col 67}{space 3} .0996888
{txt}c_treatinf.. {c |}{col 14}{res}{space 2}-.0284199{col 26}{space 2} .0523914{col 37}{space 1}   -0.54{col 46}{space 3}0.588{col 54}{space 4}-.1314375{col 67}{space 3} .0745978
{txt}c_treatinf.. {c |}{col 14}{res}{space 2} .0710865{col 26}{space 2} .0724848{col 37}{space 1}    0.98{col 46}{space 3}0.327{col 54}{space 4}-.0714411{col 67}{space 3} .2136142
{txt}c_t~o_educyr {c |}{col 14}{res}{space 2}-.0016598{col 26}{space 2} .0042355{col 37}{space 1}   -0.39{col 46}{space 3}0.695{col 54}{space 4}-.0099881{col 67}{space 3} .0066686
{txt}c_treatinf.. {c |}{col 14}{res}{space 2} .0159138{col 26}{space 2} .0210738{col 37}{space 1}    0.76{col 46}{space 3}0.451{col 54}{space 4}-.0255238{col 67}{space 3} .0573514
{txt}c_trea~r_hc2 {c |}{col 14}{res}{space 2}-.0646811{col 26}{space 2} .0554282{col 37}{space 1}   -1.17{col 46}{space 3}0.244{col 54}{space 4}-.1736702{col 67}{space 3} .0443079
{txt}c_~r_b_h_del {c |}{col 14}{res}{space 2}-.0461236{col 26}{space 2} .0560976{col 37}{space 1}   -0.82{col 46}{space 3}0.411{col 54}{space 4}-.1564289{col 67}{space 3} .0641816
{txt}c_treatint.. {c |}{col 14}{res}{space 2}-.1270714{col 26}{space 2}  .049309{col 37}{space 1}   -2.58{col 46}{space 3}0.010{col 54}{space 4}-.2240282{col 67}{space 3}-.0301146
{txt}c_treatint.. {c |}{col 14}{res}{space 2} .0859528{col 26}{space 2}  .082331{col 37}{space 1}    1.04{col 46}{space 3}0.297{col 54}{space 4}-.0759354{col 67}{space 3} .2478411
{txt}c_t~r_educyr {c |}{col 14}{res}{space 2}-.0039585{col 26}{space 2}  .004172{col 37}{space 1}   -0.95{col 46}{space 3}0.343{col 54}{space 4}-.0121618{col 67}{space 3} .0042449
{txt}c_treatint.. {c |}{col 14}{res}{space 2}  .013063{col 26}{space 2} .0203405{col 37}{space 1}    0.64{col 46}{space 3}0.521{col 54}{space 4}-.0269328{col 67}{space 3} .0530588
{txt}{space 7}_cons {c |}{col 14}{res}{space 2}-.0047982{col 26}{space 2} .0148341{col 37}{space 1}   -0.32{col 46}{space 3}0.747{col 54}{space 4}-.0339666{col 67}{space 3} .0243701
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatinfo + treatinfint = 0{p_end}

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}e_commresp_z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}(1) {c |}{col 14}{res}{space 2} .0133386{col 26}{space 2} .0202445{col 37}{space 1}    0.66{col 46}{space 3}0.510{col 54}{space 4}-.0264684{col 67}{space 3} .0531456
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatinfo + treatinfint = 0{p_end}

{txt}       F(  1,   375) ={res}    0.43
{txt}{col 13}Prob > F ={res}    0.5104

{p 0 7}{space 1}{text:( 1)}{space 1} treatinfo - treatinter = 0{p_end}

{txt}       F(  1,   375) ={res}    1.39
{txt}{col 13}Prob > F ={res}    0.2398
{txt}note: b_relhhhc_z_d omitted because of collinearity
note: c_infint_hc2 omitted because of collinearity
note: c_infint_b_h_del omitted because of collinearity
note: c_infint_b_h_staff_houses omitted because of collinearity
note: c_infint_b_visited_d omitted because of collinearity
note: c_infint_educyr omitted because of collinearity
note: c_infint_b_assetindex omitted because of collinearity
{res}
{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}    14,609
{txt}{col 49}F({res}  28{txt},{res}    375{txt}){col 67}= {res}      4.08
{txt}{col 49}Prob > F{col 67}= {res}    0.0000
{txt}{col 49}R-squared{col 67}= {res}    0.0501
{txt}{col 49}Adj R-squared{col 67}= {res}    0.0473
{txt}{col 49}Root MSE{col 67}= {res}    0.5487

{txt}{ralign 78:(Std. Err. adjusted for {res:376} clusters in hc_id)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1} e_relhhhc_z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatinfo {c |}{col 14}{res}{space 2} .0631718{col 26}{space 2} .0391711{col 37}{space 1}    1.61{col 46}{space 3}0.108{col 54}{space 4}-.0138507{col 67}{space 3} .1401942
{txt}{space 2}treatinter {c |}{col 14}{res}{space 2} .0203447{col 26}{space 2} .0423571{col 37}{space 1}    0.48{col 46}{space 3}0.631{col 54}{space 4}-.0629424{col 67}{space 3} .1036318
{txt}{space 1}treatinfint {c |}{col 14}{res}{space 2} -.044382{col 26}{space 2}  .057204{col 37}{space 1}   -0.78{col 46}{space 3}0.438{col 54}{space 4}-.1568628{col 67}{space 3} .0680988
{txt}{space 1}b_relhhhc_z {c |}{col 14}{res}{space 2} .1118952{col 26}{space 2} .0135481{col 37}{space 1}    8.26{col 46}{space 3}0.000{col 54}{space 4} .0852554{col 67}{space 3}  .138535
{txt}b_relhhhc_~d {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 7}c_hc2 {c |}{col 14}{res}{space 2} .0920357{col 26}{space 2} .0700616{col 37}{space 1}    1.31{col 46}{space 3}0.190{col 54}{space 4}-.0457272{col 67}{space 3} .2297986
{txt}{space 3}c_b_h_del {c |}{col 14}{res}{space 2} .0681844{col 26}{space 2} .0823742{col 37}{space 1}    0.83{col 46}{space 3}0.408{col 54}{space 4}-.0937887{col 67}{space 3} .2301576
{txt}c_b_h_staf~s {c |}{col 14}{res}{space 2} .0256034{col 26}{space 2} .1090646{col 37}{space 1}    0.23{col 46}{space 3}0.815{col 54}{space 4}-.1888514{col 67}{space 3} .2400582
{txt}c_b_visite~d {c |}{col 14}{res}{space 2} .1224648{col 26}{space 2} .0363301{col 37}{space 1}    3.37{col 46}{space 3}0.001{col 54}{space 4} .0510285{col 67}{space 3} .1939012
{txt}{space 4}c_educyr {c |}{col 14}{res}{space 2} .0018293{col 26}{space 2} .0032947{col 37}{space 1}    0.56{col 46}{space 3}0.579{col 54}{space 4}-.0046491{col 67}{space 3} .0083078
{txt}c_b_asseti~x {c |}{col 14}{res}{space 2}-.0085833{col 26}{space 2} .0170142{col 37}{space 1}   -0.50{col 46}{space 3}0.614{col 54}{space 4}-.0420385{col 67}{space 3} .0248719
{txt}c_infint_hc2 {c |}{col 14}{res}{space 2}-.1405379{col 26}{space 2} .1227685{col 37}{space 1}   -1.14{col 46}{space 3}0.253{col 54}{space 4}-.3819387{col 67}{space 3}  .100863
{txt}c_infint_b~l {c |}{col 14}{res}{space 2}-.2341539{col 26}{space 2} .1455932{col 37}{space 1}   -1.61{col 46}{space 3}0.109{col 54}{space 4}-.5204353{col 67}{space 3} .0521274
{txt}c_infint_b~s {c |}{col 14}{res}{space 2} .1517187{col 26}{space 2} .1674246{col 37}{space 1}    0.91{col 46}{space 3}0.365{col 54}{space 4}  -.17749{col 67}{space 3} .4809275
{txt}c_infint_b~d {c |}{col 14}{res}{space 2}  .113541{col 26}{space 2} .0773741{col 37}{space 1}    1.47{col 46}{space 3}0.143{col 54}{space 4}-.0386004{col 67}{space 3} .2656825
{txt}c_infint_e~r {c |}{col 14}{res}{space 2}-.0045717{col 26}{space 2} .0055513{col 37}{space 1}   -0.82{col 46}{space 3}0.411{col 54}{space 4}-.0154873{col 67}{space 3} .0063439
{txt}c_infint_b~x {c |}{col 14}{res}{space 2}-.0322688{col 26}{space 2} .0350516{col 37}{space 1}   -0.92{col 46}{space 3}0.358{col 54}{space 4}-.1011912{col 67}{space 3} .0366537
{txt}c_infint_hc2 {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
c_infint_b~l {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
c_infint_b~s {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
c_infint_b~d {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
c_infint_e~r {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
c_infint_b~x {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
c_trea~o_hc2 {c |}{col 14}{res}{space 2} .0460935{col 26}{space 2} .0847501{col 37}{space 1}    0.54{col 46}{space 3}0.587{col 54}{space 4}-.1205515{col 67}{space 3} .2127385
{txt}c_~o_b_h_del {c |}{col 14}{res}{space 2} .0189755{col 26}{space 2} .0988968{col 37}{space 1}    0.19{col 46}{space 3}0.848{col 54}{space 4}-.1754863{col 67}{space 3} .2134373
{txt}c_treatinf.. {c |}{col 14}{res}{space 2}-.0140588{col 26}{space 2}  .114931{col 37}{space 1}   -0.12{col 46}{space 3}0.903{col 54}{space 4}-.2400488{col 67}{space 3} .2119312
{txt}c_treatinf.. {c |}{col 14}{res}{space 2}-.0831761{col 26}{space 2} .0539029{col 37}{space 1}   -1.54{col 46}{space 3}0.124{col 54}{space 4}-.1891658{col 67}{space 3} .0228137
{txt}c_t~o_educyr {c |}{col 14}{res}{space 2}-.0019554{col 26}{space 2} .0040106{col 37}{space 1}   -0.49{col 46}{space 3}0.626{col 54}{space 4}-.0098414{col 67}{space 3} .0059306
{txt}c_treatinf.. {c |}{col 14}{res}{space 2} .0181196{col 26}{space 2} .0230134{col 37}{space 1}    0.79{col 46}{space 3}0.432{col 54}{space 4}-.0271319{col 67}{space 3} .0633711
{txt}c_trea~r_hc2 {c |}{col 14}{res}{space 2}-.0214614{col 26}{space 2} .0882514{col 37}{space 1}   -0.24{col 46}{space 3}0.808{col 54}{space 4}-.1949911{col 67}{space 3} .1520682
{txt}c_~r_b_h_del {c |}{col 14}{res}{space 2} .0902625{col 26}{space 2} .1146852{col 37}{space 1}    0.79{col 46}{space 3}0.432{col 54}{space 4}-.1352442{col 67}{space 3} .3157692
{txt}c_treatint.. {c |}{col 14}{res}{space 2}-.0005784{col 26}{space 2} .1380631{col 37}{space 1}   -0.00{col 46}{space 3}0.997{col 54}{space 4}-.2720532{col 67}{space 3} .2708964
{txt}c_treatint.. {c |}{col 14}{res}{space 2}-.0919911{col 26}{space 2} .0538631{col 37}{space 1}   -1.71{col 46}{space 3}0.088{col 54}{space 4}-.1979027{col 67}{space 3} .0139205
{txt}c_t~r_educyr {c |}{col 14}{res}{space 2} .0012495{col 26}{space 2} .0043578{col 37}{space 1}    0.29{col 46}{space 3}0.774{col 54}{space 4}-.0073194{col 67}{space 3} .0098184
{txt}c_treatint.. {c |}{col 14}{res}{space 2} .0377027{col 26}{space 2} .0251593{col 37}{space 1}    1.50{col 46}{space 3}0.135{col 54}{space 4}-.0117683{col 67}{space 3} .0871738
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} .0036469{col 26}{space 2} .0291246{col 37}{space 1}    0.13{col 46}{space 3}0.900{col 54}{space 4}-.0536212{col 67}{space 3} .0609149
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatinfo + treatinfint = 0{p_end}

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1} e_relhhhc_z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}(1) {c |}{col 14}{res}{space 2} .0187898{col 26}{space 2} .0416504{col 37}{space 1}    0.45{col 46}{space 3}0.652{col 54}{space 4}-.0631078{col 67}{space 3} .1006874
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatinfo + treatinfint = 0{p_end}

{txt}       F(  1,   375) ={res}    0.20
{txt}{col 13}Prob > F ={res}    0.6522

{p 0 7}{space 1}{text:( 1)}{space 1} treatinfo - treatinter = 0{p_end}

{txt}       F(  1,   375) ={res}    1.10
{txt}{col 13}Prob > F ={res}    0.2957
{txt}
{com}.                 
.         * HC level outcomes
.         
.         foreach x in `intermediate_hclevel' {c -(}
{txt}  2{com}.                 areg  e_`x' treatinfo treatinter treatinfint b_`x' b_`x'_d `infint_hc_int_e_controls' `e_controls_hc' `treatinfo_hc_int_e_controls' `treatinter_hc_int_e_controls' if uniquehc == 1, robust a(district)
{txt}  3{com}.                 local n_1_`x' = `e(N)'
{txt}  4{com}.                 local r2_1_`x' = string(`e(r2)',"%9.3fc")
{txt}  5{com}.                 local est_1_`x' = string(_b[treatinfo],"%9.3fc")
{txt}  6{com}.                 local se_1_`x' = string(_se[treatinfo],"%9.3fc")
{txt}  7{com}.                 local p_1_`x' = (2 * ttail(e(df_r), abs(_b[treatinfo]/_se[treatinfo])))
{txt}  8{com}.                 
.                 gen s_1_1s_`x' = (`p_1_`x''<=0.1 & `p_1_`x''>0.05)
{txt}  9{com}.                 gen s_1_2s_`x' = (`p_1_`x''<=0.05 & `p_1_`x''>0.01)
{txt} 10{com}.                 gen s_1_3s_`x' = (`p_1_`x''<=0.01 & `p_1_`x''>=0)
{txt} 11{com}.         
.                 if s_1_1s_`x' == 1 {c -(}
{txt} 12{com}.                                 local est_1_`x' = "`est_1_`x''*"
{txt} 13{com}.                                 {c )-}
{txt} 14{com}.                                 
.                 if s_1_2s_`x' == 1 {c -(}
{txt} 15{com}.                                 local est_1_`x' = "`est_1_`x''**"
{txt} 16{com}.                                 {c )-}
{txt} 17{com}.                                 
.                 if s_1_3s_`x' == 1 {c -(}
{txt} 18{com}.                                 local est_1_`x' = "`est_1_`x''***"
{txt} 19{com}.                                 {c )-}
{txt} 20{com}.                 
.                 local est_2_`x' = string(_b[treatinter],"%9.3fc")
{txt} 21{com}.                 local se_2_`x' = string(_se[treatinter],"%9.3fc")
{txt} 22{com}.                 local p_2_`x' = (2 * ttail(e(df_r), abs(_b[treatinter]/_se[treatinter])))
{txt} 23{com}.                 
.                 gen s_2_1s_`x' = (`p_2_`x''<=0.1 & `p_2_`x''>0.05)
{txt} 24{com}.                 gen s_2_2s_`x' = (`p_2_`x''<=0.05 & `p_2_`x''>0.01)
{txt} 25{com}.                 gen s_2_3s_`x' = (`p_2_`x''<=0.01 & `p_2_`x''>=0)
{txt} 26{com}.         
.                 if s_2_1s_`x' == 1 {c -(}
{txt} 27{com}.                                 local est_2_`x' = "`est_2_`x''*"
{txt} 28{com}.                                 {c )-}
{txt} 29{com}.                                 
.                 if s_2_2s_`x' == 1 {c -(}
{txt} 30{com}.                                 local est_2_`x' = "`est_2_`x''**"
{txt} 31{com}.                                 {c )-}
{txt} 32{com}.                                 
.                 if s_2_3s_`x' == 1 {c -(}
{txt} 33{com}.                                 local est_2_`x' = "`est_2_`x''***"
{txt} 34{com}.                                 {c )-}
{txt} 35{com}.                 
.                 local e_3_`x' = string(_b[treatinfint],"%9.3fc")
{txt} 36{com}.                 local se_3_`x' = string(_se[treatinfint],"%9.3fc")
{txt} 37{com}.                 local p_3_`x' = (2 * ttail(e(df_r), abs(_b[treatinfint]/_se[treatinfint])))
{txt} 38{com}.                 
.                 gen s_3_1s_`x' = (`p_3_`x''<=0.1 & `p_3_`x''>0.05)
{txt} 39{com}.                 gen s_3_2s_`x' = (`p_3_`x''<=0.05 & `p_3_`x''>0.01)
{txt} 40{com}.                 gen s_3_3s_`x' = (`p_3_`x''<=0.01 & `p_3_`x''>=0)
{txt} 41{com}.         
.                 if s_3_1s_`x' == 1 {c -(}
{txt} 42{com}.                                 local e_3_`x' = "`e_3_`x''*"
{txt} 43{com}.                                 {c )-}
{txt} 44{com}.                                 
.                 if s_3_2s_`x' == 1 {c -(}
{txt} 45{com}.                                 local e_3_`x' = "`e_3_`x''**"
{txt} 46{com}.                                 {c )-}
{txt} 47{com}.                                 
.                 if s_3_3s_`x' == 1 {c -(}
{txt} 48{com}.                                 local e_3_`x' = "`e_3_`x''***"
{txt} 49{com}.                                 {c )-}
{txt} 50{com}.                                 
.                 local est_4_`x' = string(_b[_cons],"%9.3fc")
{txt} 51{com}.                 local se_4_`x' = string(_se[_cons],"%9.3fc")
{txt} 52{com}.                 local p_4_`x' = (2 * ttail(e(df_r), abs(_b[_cons]/_se[_cons])))
{txt} 53{com}.                 
.                 gen s_4_1s_`x' = (`p_4_`x''<=0.1 & `p_4_`x''>0.05)
{txt} 54{com}.                 gen s_4_2s_`x' = (`p_4_`x''<=0.05 & `p_4_`x''>0.01)
{txt} 55{com}.                 gen s_4_3s_`x' = (`p_4_`x''<=0.01 & `p_4_`x''>=0)
{txt} 56{com}.         
.                 if s_4_1s_`x' == 1 {c -(}
{txt} 57{com}.                                 local est_4_`x' = "`est_4_`x''*"
{txt} 58{com}.                                 {c )-}
{txt} 59{com}.                                 
.                 if s_4_2s_`x' == 1 {c -(}
{txt} 60{com}.                                 local est_4_`x' = "`est_4_`x''**"
{txt} 61{com}.                                 {c )-}
{txt} 62{com}.                                 
.                 if s_4_3s_`x' == 1 {c -(}
{txt} 63{com}.                                 local est_4_`x' = "`est_4_`x''***"
{txt} 64{com}.                                 {c )-}
{txt} 65{com}.         
.                 lincom treatinfo + treatinfint
{txt} 66{com}.                 local est_5_`x' = string(`r(estimate)',"%9.3fc")
{txt} 67{com}.                 local se_5_`x' = string(`r(se)',"%9.3fc")
{txt} 68{com}.                 local se_5_`x' = "(`se_5_`x'')"
{txt} 69{com}.                 test treatinfo + treatinfint = 0
{txt} 70{com}.                 local p_5_`x' = `r(p)'
{txt} 71{com}.                 
.                 gen s_5_1s_`x' = (`p_5_`x''<=0.1 & `p_5_`x''>0.05)
{txt} 72{com}.                 gen s_5_2s_`x' = (`p_5_`x''<=0.05 & `p_5_`x''>0.01)
{txt} 73{com}.                 gen s_5_3s_`x' = (`p_5_`x''<=0.01 & `p_5_`x''>=0)
{txt} 74{com}.         
.                 if s_5_1s_`x' == 1 {c -(}
{txt} 75{com}.                                 local est_5_`x' = "`est_5_`x''*"
{txt} 76{com}.                                 {c )-}
{txt} 77{com}.                                 
.                 if s_5_2s_`x' == 1 {c -(}
{txt} 78{com}.                                 local est_5_`x' = "`est_5_`x''**"
{txt} 79{com}.                                 {c )-}
{txt} 80{com}.                                 
.                 if s_5_3s_`x' == 1 {c -(}
{txt} 81{com}.                                 local est_5_`x' = "`est_5_`x''***"
{txt} 82{com}.                                 {c )-}
{txt} 83{com}.                 
.                 test treatinfo = treatinter
{txt} 84{com}.                 local f_wald_`x' = string(`r(p)',"%9.3fc")
{txt} 85{com}.                 
.                 drop s_*
{txt} 86{com}.                 {c )-}
{p 0 6 2}{txt}note: b_h_hcpknow_z_d omitted because of collinearity{p_end}
{p 0 6 2}note: c_infint_hc_hc2 omitted because of collinearity{p_end}
{p 0 6 2}note: c_infint_hc_b_h_del omitted because of collinearity{p_end}
{p 0 6 2}note: c_infint_hc_b_h_staff_houses omitted because of collinearity{p_end}
{p 0 6 2}note: c_infint_hc_b_visited_d omitted because of collinearity{p_end}
{p 0 6 2}note: c_infint_hc_educyr omitted because of collinearity{p_end}
{p 0 6 2}note: c_infint_hc_b_assetindex omitted because of collinearity{p_end}
{res}
{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}       376
{txt}{col 49}F({res}  28{txt},{res}    332{txt}){col 67}= {res}      1.86
{txt}{col 49}Prob > F{col 67}= {res}    0.0062
{txt}{col 49}R-squared{col 67}= {res}    0.1915
{txt}{col 49}Adj R-squared{col 67}= {res}    0.0868
{txt}{col 49}Root MSE{col 67}= {res}    0.7613

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}e_h_hcpkno~z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatinfo {c |}{col 14}{res}{space 2}  .226326{col 26}{space 2} .1100728{col 37}{space 1}    2.06{col 46}{space 3}0.041{col 54}{space 4} .0097979{col 67}{space 3}  .442854
{txt}{space 2}treatinter {c |}{col 14}{res}{space 2} .1069621{col 26}{space 2} .1095994{col 37}{space 1}    0.98{col 46}{space 3}0.330{col 54}{space 4}-.1086347{col 67}{space 3} .3225589
{txt}{space 1}treatinfint {c |}{col 14}{res}{space 2}-.1930202{col 26}{space 2} .1589981{col 37}{space 1}   -1.21{col 46}{space 3}0.226{col 54}{space 4}-.5057909{col 67}{space 3} .1197506
{txt}b_h_hcpkno~z {c |}{col 14}{res}{space 2} .0709298{col 26}{space 2}   .05802{col 37}{space 1}    1.22{col 46}{space 3}0.222{col 54}{space 4}-.0432033{col 67}{space 3} .1850629
{txt}b_h_hcpkno~d {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
c_infi~c_hc2 {c |}{col 14}{res}{space 2}-.3950261{col 26}{space 2} .4087842{col 37}{space 1}   -0.97{col 46}{space 3}0.335{col 54}{space 4} -1.19916{col 67}{space 3} .4091076
{txt}c_infint_h~l {c |}{col 14}{res}{space 2}-.0022198{col 26}{space 2} .3959848{col 37}{space 1}   -0.01{col 46}{space 3}0.996{col 54}{space 4}-.7811754{col 67}{space 3} .7767357
{txt}c_infint_h~s {c |}{col 14}{res}{space 2} .2281829{col 26}{space 2} .4461484{col 37}{space 1}    0.51{col 46}{space 3}0.609{col 54}{space 4}-.6494513{col 67}{space 3} 1.105817
{txt}c_infint_h~d {c |}{col 14}{res}{space 2} 1.262419{col 26}{space 2} 1.804534{col 37}{space 1}    0.70{col 46}{space 3}0.485{col 54}{space 4}-2.287343{col 67}{space 3} 4.812181
{txt}c_infint_h~r {c |}{col 14}{res}{space 2}-.0318069{col 26}{space 2} .1689405{col 37}{space 1}   -0.19{col 46}{space 3}0.851{col 54}{space 4}-.3641356{col 67}{space 3} .3005218
{txt}c_infint_h~x {c |}{col 14}{res}{space 2} .4201481{col 26}{space 2} .4647489{col 37}{space 1}    0.90{col 46}{space 3}0.367{col 54}{space 4}-.4940758{col 67}{space 3} 1.334372
{txt}c_infi~c_hc2 {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
c_infint_h~l {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
c_infint_h~s {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
c_infint_h~d {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
c_infint_h~r {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
c_infint_h~x {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 4}c_hc_hc2 {c |}{col 14}{res}{space 2}-.4160327{col 26}{space 2} .2224664{col 37}{space 1}   -1.87{col 46}{space 3}0.062{col 54}{space 4}-.8536542{col 67}{space 3} .0215889
{txt}c_hc_b_h_del {c |}{col 14}{res}{space 2} -.134252{col 26}{space 2} .2315625{col 37}{space 1}   -0.58{col 46}{space 3}0.562{col 54}{space 4}-.5897666{col 67}{space 3} .3212627
{txt}c_hc_b_h_s~s {c |}{col 14}{res}{space 2}  .740154{col 26}{space 2} .2278288{col 37}{space 1}    3.25{col 46}{space 3}0.001{col 54}{space 4}  .291984{col 67}{space 3} 1.188324
{txt}c_hc_b_vis~d {c |}{col 14}{res}{space 2} .1755351{col 26}{space 2} .6866171{col 37}{space 1}    0.26{col 46}{space 3}0.798{col 54}{space 4}-1.175133{col 67}{space 3} 1.526204
{txt}{space 1}c_hc_educyr {c |}{col 14}{res}{space 2}-.0272269{col 26}{space 2} .0751547{col 37}{space 1}   -0.36{col 46}{space 3}0.717{col 54}{space 4}-.1750664{col 67}{space 3} .1206125
{txt}c_hc_b_ass~x {c |}{col 14}{res}{space 2}-.0080942{col 26}{space 2} .2374798{col 37}{space 1}   -0.03{col 46}{space 3}0.973{col 54}{space 4}-.4752491{col 67}{space 3} .4590607
{txt}c_t~o_hc_hc2 {c |}{col 14}{res}{space 2} .3169009{col 26}{space 2} .2878675{col 37}{space 1}    1.10{col 46}{space 3}0.272{col 54}{space 4}-.2493734{col 67}{space 3} .8831752
{txt}c_treatinf.. {c |}{col 14}{res}{space 2} .1646023{col 26}{space 2} .2811384{col 37}{space 1}    0.59{col 46}{space 3}0.559{col 54}{space 4}-.3884349{col 67}{space 3} .7176396
{txt}c_treatinf.. {c |}{col 14}{res}{space 2}-.5951915{col 26}{space 2} .3085816{col 37}{space 1}   -1.93{col 46}{space 3}0.055{col 54}{space 4}-1.202213{col 67}{space 3} .0118301
{txt}c_treatinf.. {c |}{col 14}{res}{space 2}-.7109958{col 26}{space 2} 1.115152{col 37}{space 1}   -0.64{col 46}{space 3}0.524{col 54}{space 4}-2.904649{col 67}{space 3} 1.482658
{txt}~o_hc_educyr {c |}{col 14}{res}{space 2} .1062621{col 26}{space 2} .1156001{col 37}{space 1}    0.92{col 46}{space 3}0.359{col 54}{space 4}-.1211389{col 67}{space 3}  .333663
{txt}c_treatinf.. {c |}{col 14}{res}{space 2}-.2578433{col 26}{space 2} .2946913{col 37}{space 1}   -0.87{col 46}{space 3}0.382{col 54}{space 4} -.837541{col 67}{space 3} .3218543
{txt}c_t~r_hc_hc2 {c |}{col 14}{res}{space 2} .1162296{col 26}{space 2} .2982736{col 37}{space 1}    0.39{col 46}{space 3}0.697{col 54}{space 4}-.4705149{col 67}{space 3}  .702974
{txt}c_treatint.. {c |}{col 14}{res}{space 2} .2500316{col 26}{space 2} .3012408{col 37}{space 1}    0.83{col 46}{space 3}0.407{col 54}{space 4}-.3425498{col 67}{space 3}  .842613
{txt}c_treatint.. {c |}{col 14}{res}{space 2}-.4170461{col 26}{space 2} .2944428{col 37}{space 1}   -1.42{col 46}{space 3}0.158{col 54}{space 4}-.9962549{col 67}{space 3} .1621627
{txt}c_treatint.. {c |}{col 14}{res}{space 2} .1631881{col 26}{space 2} 1.278671{col 37}{space 1}    0.13{col 46}{space 3}0.899{col 54}{space 4} -2.35213{col 67}{space 3} 2.678507
{txt}~r_hc_educyr {c |}{col 14}{res}{space 2}-.0101487{col 26}{space 2} .1098535{col 37}{space 1}   -0.09{col 46}{space 3}0.926{col 54}{space 4}-.2262454{col 67}{space 3}  .205948
{txt}c_treatint.. {c |}{col 14}{res}{space 2}-.1273349{col 26}{space 2} .3327155{col 37}{space 1}   -0.38{col 46}{space 3}0.702{col 54}{space 4}-.7818312{col 67}{space 3} .5271613
{txt}{space 7}_cons {c |}{col 14}{res}{space 2}-.0124411{col 26}{space 2} .0790458{col 37}{space 1}   -0.16{col 46}{space 3}0.875{col 54}{space 4}-.1679348{col 67}{space 3} .1430526
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatinfo + treatinfint = 0{p_end}

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}e_h_hcpkno~z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}(1) {c |}{col 14}{res}{space 2} .0333058{col 26}{space 2} .1147049{col 37}{space 1}    0.29{col 46}{space 3}0.772{col 54}{space 4}-.1923342{col 67}{space 3} .2589457
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatinfo + treatinfint = 0{p_end}

{txt}       F(  1,   332) ={res}    0.08
{txt}{col 13}Prob > F ={res}    0.7717

{p 0 7}{space 1}{text:( 1)}{space 1} treatinfo - treatinter = 0{p_end}

{txt}       F(  1,   332) ={res}    1.24
{txt}{col 13}Prob > F ={res}    0.2661
{p 0 6 2}{txt}note: b_h_hctrans_z_d omitted because of collinearity{p_end}
{p 0 6 2}note: c_infint_hc_hc2 omitted because of collinearity{p_end}
{p 0 6 2}note: c_infint_hc_b_h_del omitted because of collinearity{p_end}
{p 0 6 2}note: c_infint_hc_b_h_staff_houses omitted because of collinearity{p_end}
{p 0 6 2}note: c_infint_hc_b_visited_d omitted because of collinearity{p_end}
{p 0 6 2}note: c_infint_hc_educyr omitted because of collinearity{p_end}
{p 0 6 2}note: c_infint_hc_b_assetindex omitted because of collinearity{p_end}
{res}
{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}       376
{txt}{col 49}F({res}  28{txt},{res}    332{txt}){col 67}= {res}      6.81
{txt}{col 49}Prob > F{col 67}= {res}    0.0000
{txt}{col 49}R-squared{col 67}= {res}    0.4020
{txt}{col 49}Adj R-squared{col 67}= {res}    0.3245
{txt}{col 49}Root MSE{col 67}= {res}    0.5160

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}e_h_hctran~z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatinfo {c |}{col 14}{res}{space 2}-.1256721{col 26}{space 2} .0772592{col 37}{space 1}   -1.63{col 46}{space 3}0.105{col 54}{space 4}-.2776514{col 67}{space 3} .0263072
{txt}{space 2}treatinter {c |}{col 14}{res}{space 2}-.1035283{col 26}{space 2} .0803464{col 37}{space 1}   -1.29{col 46}{space 3}0.198{col 54}{space 4}-.2615804{col 67}{space 3} .0545239
{txt}{space 1}treatinfint {c |}{col 14}{res}{space 2} .2032614{col 26}{space 2} .1114482{col 37}{space 1}    1.82{col 46}{space 3}0.069{col 54}{space 4}-.0159723{col 67}{space 3} .4224951
{txt}b_h_hctran~z {c |}{col 14}{res}{space 2} .1084558{col 26}{space 2} .0617405{col 37}{space 1}    1.76{col 46}{space 3}0.080{col 54}{space 4}-.0129962{col 67}{space 3} .2299077
{txt}b_h_hctran~d {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
c_infi~c_hc2 {c |}{col 14}{res}{space 2}-.2494617{col 26}{space 2} .3012931{col 37}{space 1}   -0.83{col 46}{space 3}0.408{col 54}{space 4}-.8421458{col 67}{space 3} .3432225
{txt}c_infint_h~l {c |}{col 14}{res}{space 2} .2473772{col 26}{space 2} .2564733{col 37}{space 1}    0.96{col 46}{space 3}0.335{col 54}{space 4}-.2571405{col 67}{space 3} .7518948
{txt}c_infint_h~s {c |}{col 14}{res}{space 2}-.0018101{col 26}{space 2} .3046368{col 37}{space 1}   -0.01{col 46}{space 3}0.995{col 54}{space 4}-.6010718{col 67}{space 3} .5974516
{txt}c_infint_h~d {c |}{col 14}{res}{space 2} .1296994{col 26}{space 2} 1.512662{col 37}{space 1}    0.09{col 46}{space 3}0.932{col 54}{space 4}-2.845911{col 67}{space 3} 3.105309
{txt}c_infint_h~r {c |}{col 14}{res}{space 2}-.0483815{col 26}{space 2} .1117741{col 37}{space 1}   -0.43{col 46}{space 3}0.665{col 54}{space 4}-.2682563{col 67}{space 3} .1714933
{txt}c_infint_h~x {c |}{col 14}{res}{space 2} .3488246{col 26}{space 2} .3718757{col 37}{space 1}    0.94{col 46}{space 3}0.349{col 54}{space 4}-.3827051{col 67}{space 3} 1.080354
{txt}c_infi~c_hc2 {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
c_infint_h~l {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
c_infint_h~s {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
c_infint_h~d {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
c_infint_h~r {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
c_infint_h~x {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 4}c_hc_hc2 {c |}{col 14}{res}{space 2}-.6052929{col 26}{space 2} .1791565{col 37}{space 1}   -3.38{col 46}{space 3}0.001{col 54}{space 4}-.9577179{col 67}{space 3}-.2528678
{txt}c_hc_b_h_del {c |}{col 14}{res}{space 2}-.0519729{col 26}{space 2} .1324924{col 37}{space 1}   -0.39{col 46}{space 3}0.695{col 54}{space 4}-.3126034{col 67}{space 3} .2086576
{txt}c_hc_b_h_s~s {c |}{col 14}{res}{space 2} .1411719{col 26}{space 2} .1586915{col 37}{space 1}    0.89{col 46}{space 3}0.374{col 54}{space 4}-.1709958{col 67}{space 3} .4533396
{txt}c_hc_b_vis~d {c |}{col 14}{res}{space 2} .2734374{col 26}{space 2} .2919434{col 37}{space 1}    0.94{col 46}{space 3}0.350{col 54}{space 4}-.3008547{col 67}{space 3} .8477295
{txt}{space 1}c_hc_educyr {c |}{col 14}{res}{space 2}-.0003132{col 26}{space 2} .0583435{col 37}{space 1}   -0.01{col 46}{space 3}0.996{col 54}{space 4}-.1150827{col 67}{space 3} .1144564
{txt}c_hc_b_ass~x {c |}{col 14}{res}{space 2} .0400768{col 26}{space 2} .1789506{col 37}{space 1}    0.22{col 46}{space 3}0.823{col 54}{space 4}-.3119431{col 67}{space 3} .3920968
{txt}c_t~o_hc_hc2 {c |}{col 14}{res}{space 2} .1246709{col 26}{space 2} .2104869{col 37}{space 1}    0.59{col 46}{space 3}0.554{col 54}{space 4}-.2893853{col 67}{space 3} .5387272
{txt}c_treatinf.. {c |}{col 14}{res}{space 2} .0581284{col 26}{space 2} .1773802{col 37}{space 1}    0.33{col 46}{space 3}0.743{col 54}{space 4}-.2908024{col 67}{space 3} .4070592
{txt}c_treatinf.. {c |}{col 14}{res}{space 2}-.0147283{col 26}{space 2} .2404435{col 37}{space 1}   -0.06{col 46}{space 3}0.951{col 54}{space 4}-.4877131{col 67}{space 3} .4582565
{txt}c_treatinf.. {c |}{col 14}{res}{space 2}   -1.226{col 26}{space 2} 1.086407{col 37}{space 1}   -1.13{col 46}{space 3}0.260{col 54}{space 4} -3.36311{col 67}{space 3} .9111096
{txt}~o_hc_educyr {c |}{col 14}{res}{space 2} .0005309{col 26}{space 2} .0744341{col 37}{space 1}    0.01{col 46}{space 3}0.994{col 54}{space 4} -.145891{col 67}{space 3} .1469528
{txt}c_treatinf.. {c |}{col 14}{res}{space 2} .1390397{col 26}{space 2} .2587102{col 37}{space 1}    0.54{col 46}{space 3}0.591{col 54}{space 4}-.3698782{col 67}{space 3} .6479576
{txt}c_t~r_hc_hc2 {c |}{col 14}{res}{space 2} .1818416{col 26}{space 2} .2400258{col 37}{space 1}    0.76{col 46}{space 3}0.449{col 54}{space 4}-.2903216{col 67}{space 3} .6540047
{txt}c_treatint.. {c |}{col 14}{res}{space 2} .1141697{col 26}{space 2} .1835786{col 37}{space 1}    0.62{col 46}{space 3}0.534{col 54}{space 4}-.2469542{col 67}{space 3} .4752937
{txt}c_treatint.. {c |}{col 14}{res}{space 2}-.1031149{col 26}{space 2} .1818978{col 37}{space 1}   -0.57{col 46}{space 3}0.571{col 54}{space 4}-.4609325{col 67}{space 3} .2547027
{txt}c_treatint.. {c |}{col 14}{res}{space 2}-.2798178{col 26}{space 2} .9193056{col 37}{space 1}   -0.30{col 46}{space 3}0.761{col 54}{space 4}-2.088216{col 67}{space 3}  1.52858
{txt}~r_hc_educyr {c |}{col 14}{res}{space 2} .0705602{col 26}{space 2} .0799535{col 37}{space 1}    0.88{col 46}{space 3}0.378{col 54}{space 4}-.0867192{col 67}{space 3} .2278395
{txt}c_treatint.. {c |}{col 14}{res}{space 2}-.2242679{col 26}{space 2}  .258313{col 37}{space 1}   -0.87{col 46}{space 3}0.386{col 54}{space 4}-.7324045{col 67}{space 3} .2838687
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} -.009854{col 26}{space 2} .0546779{col 37}{space 1}   -0.18{col 46}{space 3}0.857{col 54}{space 4}-.1174128{col 67}{space 3} .0977048
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatinfo + treatinfint = 0{p_end}

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}e_h_hctran~z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}(1) {c |}{col 14}{res}{space 2} .0775893{col 26}{space 2} .0804545{col 37}{space 1}    0.96{col 46}{space 3}0.336{col 54}{space 4}-.0806756{col 67}{space 3} .2358542
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatinfo + treatinfint = 0{p_end}

{txt}       F(  1,   332) ={res}    0.93
{txt}{col 13}Prob > F ={res}    0.3356

{p 0 7}{space 1}{text:( 1)}{space 1} treatinfo - treatinter = 0{p_end}

{txt}       F(  1,   332) ={res}    0.08
{txt}{col 13}Prob > F ={res}    0.7835
{txt}
{com}.         
.         texdoc init "${c -(}tables{c )-}/TableI49.tex", replace force
{res}{txt}(texdoc output file is /Users/fredericcochinard/Dropbox/ACT_Health_JOP_replication_file/3.Tables and Figures/Tables/TableI49.tex)
{res}{txt}
{com}.         tex \begin{c -(}table{c )-}[htbp]\centering
{res}{txt}
{com}.         tex \footnotesize
{res}{txt}
{com}.         tex \def\sym#1{c -(}\ifmmode^{c -(}#1{c )-}\else\(^{c -(}#1{c )-}\)\fi{c )-}
{res}{txt}
{com}.         tex \caption{c -(}Intermediates outcomes: subcomponents{c )-}
{res}{txt}
{com}.         tex \begin{c -(}tabular{c )-}{c -(}lgggggg{c )-}
{res}{txt}
{com}.         tex \toprule
{res}{txt}
{com}.         tex                                                                                       & (1)                       & (2)                                                          & (3)                                                             & (4)           & (5) & (6)                                                                    \\
{res}{txt}
{com}.     tex \multirow{c -(}-2{c )-}{c -(}*{c )-}{c -(}{c )-}                              & \textbf{c -(}\begin{c -(}tabular{c )-}[c]{c -(}@{c -(}{c )-}c@{c -(}{c )-}{c )-}Citizen\\knowledge\end{c -(}tabular{c )-}{c )-}      & \textbf{c -(}\begin{c -(}tabular{c )-}[c]{c -(}@{c -(}{c )-}c@{c -(}{c )-}{c )-}HC staff\\knowledge\end{c -(}tabular{c )-}{c )-} & \textbf{c -(}\begin{c -(}tabular{c )-}[c]{c -(}@{c -(}{c )-}c@{c -(}{c )-}{c )-}Efficacy\end{c -(}tabular{c )-}{c )-} & \textbf{c -(}\begin{c -(}tabular{c )-}[c]{c -(}@{c -(}{c )-}c@{c -(}{c )-}{c )-}Community\\responsibility\end{c -(}tabular{c )-}{c )-}  & \begin{c -(}tabular{c )-}[c]{c -(}@{c -(}{c )-}c@{c -(}{c )-}{c )-}Relationship\end{c -(}tabular{c )-} & \begin{c -(}tabular{c )-}[c]{c -(}@{c -(}{c )-}c@{c -(}{c )-}{c )-}HC\\transparency\end{c -(}tabular{c )-} \\
{res}{txt}
{com}.         tex \midrule
{res}{txt}
{com}.         tex \multirow{c -(}2{c )-}{c -(}*{c )-}{c -(}Information{c )-}  & `est_1_ctzknow_z'           & `est_1_h_hcpknow_z'                                                            & `est_1_eff_z'                                                               & `est_1_commresp_z'         & `est_1_relhhhc_z'   & `est_1_h_hctrans_z'                          \\
{res}{txt}
{com}.         tex  & `se_1_ctzknow_z'           & `se_1_h_hcpknow_z'                                                            & `se_1_eff_z'                                                               & `se_1_commresp_z'                    & `se_1_relhhhc_z'   & `se_1_h_hctrans_z'     \\
{res}{txt}
{com}.         tex \multirow{c -(}2{c )-}{c -(}*{c )-}{c -(}Interface{c )-}  & `est_2_ctzknow_z'           & `est_2_h_hcpknow_z'                                                            & `est_2_eff_z'                                                               & `est_2_commresp_z'             & `est_2_relhhhc_z'   & `est_2_h_hctrans_z'                                                       \\
{res}{txt}
{com}.         tex  & `se_2_ctzknow_z'           & `se_2_h_hcpknow_z'                                                            & `se_2_eff_z'                                                               & `se_2_commresp_z'                & `se_2_relhhhc_z'   & `se_2_h_hctrans_z'                                                       \\
{res}{txt}
{com}.         tex \multirow{c -(}2{c )-}{c -(}*{c )-}{c -(}Information x Interface{c )-}  & `e_3_ctzknow_z'           & `e_3_h_hcpknow_z'                                                            & `e_3_eff_z'                                                               & `e_3_commresp_z'            & `e_3_relhhhc_z'   & `e_3_h_hctrans_z'                                                           \\
{res}{txt}
{com}.         tex  & `se_3_ctzknow_z'           & `se_3_h_hcpknow_z'                                                            & `se_3_eff_z'                                                               & `se_3_commresp_z'                         & `se_3_relhhhc_z'   & `se_3_h_hctrans_z'                                             \\
{res}{txt}
{com}.         tex \multirow{c -(}2{c )-}{c -(}*{c )-}{c -(}Constant{c )-}  & `est_4_ctzknow_z'           & `est_4_h_hcpknow_z'                                                            & `est_4_eff_z'                                                               & `est_4_commresp_z'                 & `est_4_relhhhc_z'   & `est_4_h_hctrans_z'                                                         \\
{res}{txt}
{com}.         tex  & `se_4_ctzknow_z'           & `se_4_h_hcpknow_z'                                                            & `se_4_eff_z'                                                               & `se_4_commresp_z'                                                                    & `se_4_relhhhc_z'   & `se_4_h_hctrans_z'      \\
{res}{txt}
{com}.         tex \midrule
{res}{txt}
{com}.         tex \multirow{c -(}1{c )-}{c -(}*{c )-}{c -(}N{c )-} & `n_1_ctzknow_z'           & `n_1_h_hcpknow_z'                                                            & `n_1_eff_z'                                                             & `n_1_commresp_z'              & `n_1_relhhhc_z'   & `n_1_h_hctrans_z'                                                            \\
{res}{txt}
{com}.         tex \multirow{c -(}1{c )-}{c -(}*{c )-}{c -(}R$^{c -(}2{c )-}${c )-}   & `r2_1_ctzknow_z'           & `r2_1_h_hcpknow_z'                                                           & `r2_1_eff_z'                                                               & `r2_1_commresp_z'                       & `r2_1_relhhhc_z'   & `r2_1_h_hctrans_z'                                               \\
{res}{txt}
{com}.         tex \multirow{c -(}2{c )-}{c -(}*{c )-}{c -(}Information + Information x Interface{c )-}   & `est_5_ctzknow_z'           & `est_5_h_hcpknow_z'                                                            & `est_5_eff_z'                                                              & `est_5_commresp_z'                 & `est_5_relhhhc_z'   & `est_5_h_hctrans_z'                                                         \\
{res}{txt}
{com}.         tex & `se_5_ctzknow_z'           & `se_5_h_hcpknow_z'                                                            & `se_5_eff_z'                                                              & `se_5_commresp_z'                      & `se_5_relhhhc_z'   & `se_5_h_hctrans_z'                                                   \\
{res}{txt}
{com}.         tex \multirow{c -(}1{c )-}{c -(}*{c )-}{c -(}P-value (Information = Interface){c )-}                            & `f_wald_ctzknow_z'           & `f_wald_h_hcpknow_z'                                                            & `f_wald_eff_z'                                                              & `f_wald_commresp_z'             & `f_wald_relhhhc_z'   & `f_wald_h_hctrans_z'                                                         \\
{res}{txt}
{com}.         tex \bottomrule
{res}{txt}
{com}.         tex \end{c -(}tabular{c )-}
{res}{txt}
{com}.         tex \end{c -(}table{c )-}
{res}{txt}
{com}.         texdoc close
{txt}(texdoc output written to {browse `"/Users/fredericcochinard/Dropbox/ACT_Health_JOP_replication_file/3.Tables and Figures/Tables/TableI49.tex"':/Users/fredericcochinard/Dropbox/ACT_Health_JOP_replication_file/3.Tables and Figures/Tables/TableI49.tex})
{res}{txt}
{com}.         
.         *******************************************************
.         * Table I50: Main outcomes (midline) - Full treatment *
.         *******************************************************
.         
.         * At endline:
.         
.         use "${c -(}usedata{c )-}/chp_el_light_dataset.dta", clear
{txt}
{com}.         
.         * At midline:
.         
.         local var treatfull
{txt}
{com}.         
.         * We regress our main indices
.         
.         local y = 1
{txt}
{com}.         foreach x in `indices' {c -(}
{txt}  2{com}.                 
.                 areg  m_`x' `var' bm_`x' bm_`x'_d `m_controls_tfull' ``var'_int_m_controls', robust cl(hc_id) a(district)
{txt}  3{com}.                 
.                 estimates store mm`y'
{txt}  4{com}.                 
.                 local n_1m_`x' = string(`e(N)',"%9.0fc")
{txt}  5{com}.                 local r2_1m_`x' = string(`e(r2)',"%9.3fc")
{txt}  6{com}.                 local est_1m_`x' = string(_b[`var'],"%9.3fc")
{txt}  7{com}.                 local se_1m_`x' = string(_se[`var'],"%9.3fc")
{txt}  8{com}.                 local p_1m_`x' = (2 * ttail(e(df_r), abs(_b[`var']/_se[`var'])))
{txt}  9{com}.                 local p_`y'm = (2 * ttail(e(df_r), abs(_b[`var']/_se[`var'])))
{txt} 10{com}.                 
.                 gen s_1m_1s_`x' = (`p_1m_`x''<=0.1 & `p_1m_`x''>0.05)
{txt} 11{com}.                 gen s_1m_2s_`x' = (`p_1m_`x''<=0.05 & `p_1m_`x''>0.01)
{txt} 12{com}.                 gen s_1m_3s_`x' = (`p_1m_`x''<=0.01 & `p_1m_`x''>=0)
{txt} 13{com}.         
.                 if s_1m_1s_`x' == 1 {c -(}
{txt} 14{com}.                                 local est_1m_`x' = "`est_1m_`x''*"
{txt} 15{com}.                                 {c )-}
{txt} 16{com}.                                 
.                 if s_1m_2s_`x' == 1 {c -(}
{txt} 17{com}.                                 local est_1m_`x' = "`est_1m_`x''**"
{txt} 18{com}.                                 {c )-}
{txt} 19{com}.                                 
.                 if s_1m_3s_`x' == 1 {c -(}
{txt} 20{com}.                                 local est_1m_`x' = "`est_1m_`x''***"
{txt} 21{com}.                                 {c )-}
{txt} 22{com}.                 
.                 local est_2m_`x' = string(_b[_cons],"%9.3fc")
{txt} 23{com}.                 local se_2m_`x' = string(_se[_cons],"%9.3fc")
{txt} 24{com}.                 local p_2m_`x' = (2 * ttail(e(df_r), abs(_b[_cons]/_se[_cons])))
{txt} 25{com}.                 
.                 gen s_2m_1s_`x' = (`p_2m_`x''<=0.1 & `p_2m_`x''>0.05)
{txt} 26{com}.                 gen s_2m_2s_`x' = (`p_2m_`x''<=0.05 & `p_2m_`x''>0.01)
{txt} 27{com}.                 gen s_2m_3s_`x' = (`p_2m_`x''<=0.01 & `p_2m_`x''>=0)
{txt} 28{com}.         
.                 if s_2m_1s_`x' == 1 {c -(}
{txt} 29{com}.                                 local est_2m_`x' = "`est_2m_`x''*"
{txt} 30{com}.                                 {c )-}
{txt} 31{com}.                                 
.                 if s_2m_2s_`x' == 1 {c -(}
{txt} 32{com}.                                 local est_2m_`x' = "`est_2m_`x''**"
{txt} 33{com}.                                 {c )-}
{txt} 34{com}.                                 
.                 if s_2m_3s_`x' == 1 {c -(}
{txt} 35{com}.                                 local est_2m_`x' = "`est_2m_`x''***"
{txt} 36{com}.                                 {c )-}
{txt} 37{com}.                                 
.                 test treatfull = 0
{txt} 38{com}.                 local f_waldm_`x' = string(`r(p)',"%9.3fc")
{txt} 39{com}.                 
.                                 
.                 local y = `y' + 1
{txt} 40{com}.                 {c )-}
{txt}note: bm_urate_z_d omitted because of collinearity
{res}
{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}     7,204
{txt}{col 49}F({res}  14{txt},{res}    186{txt}){col 67}= {res}     80.78
{txt}{col 49}Prob > F{col 67}= {res}    0.0000
{txt}{col 49}R-squared{col 67}= {res}    0.2553
{txt}{col 49}Adj R-squared{col 67}= {res}    0.2523
{txt}{col 49}Root MSE{col 67}= {res}    0.6305

{txt}{ralign 78:(Std. Err. adjusted for {res:187} clusters in hc_id)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}   m_urate_z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2}-.0119464{col 26}{space 2} .0204488{col 37}{space 1}   -0.58{col 46}{space 3}0.560{col 54}{space 4}-.0522877{col 67}{space 3}  .028395
{txt}{space 2}bm_urate_z {c |}{col 14}{res}{space 2} .3985168{col 26}{space 2} .0140174{col 37}{space 1}   28.43{col 46}{space 3}0.000{col 54}{space 4} .3708632{col 67}{space 3} .4261703
{txt}bm_urate_z_d {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 1}c_tfull_hc2 {c |}{col 14}{res}{space 2} .0437733{col 26}{space 2} .0393013{col 37}{space 1}    1.11{col 46}{space 3}0.267{col 54}{space 4}-.0337603{col 67}{space 3}  .121307
{txt}c_tfull_b_~l {c |}{col 14}{res}{space 2} .0026291{col 26}{space 2} .0476508{col 37}{space 1}    0.06{col 46}{space 3}0.956{col 54}{space 4}-.0913765{col 67}{space 3} .0966347
{txt}c_tfull_b_~s {c |}{col 14}{res}{space 2}  .042606{col 26}{space 2} .0499967{col 37}{space 1}    0.85{col 46}{space 3}0.395{col 54}{space 4}-.0560275{col 67}{space 3} .1412396
{txt}c_tfull_bm~d {c |}{col 14}{res}{space 2} .2029114{col 26}{space 2} .0534334{col 37}{space 1}    3.80{col 46}{space 3}0.000{col 54}{space 4} .0974979{col 67}{space 3}  .308325
{txt}c_tfull_bm~r {c |}{col 14}{res}{space 2}-.0112437{col 26}{space 2} .0027159{col 37}{space 1}   -4.14{col 46}{space 3}0.000{col 54}{space 4}-.0166016{col 67}{space 3}-.0058859
{txt}c_tfull_bm~x {c |}{col 14}{res}{space 2} -.048009{col 26}{space 2} .0133034{col 37}{space 1}   -3.61{col 46}{space 3}0.000{col 54}{space 4}-.0742539{col 67}{space 3}-.0217641
{txt}c_trea~l_hc2 {c |}{col 14}{res}{space 2}-.0452284{col 26}{space 2} .0496456{col 37}{space 1}   -0.91{col 46}{space 3}0.363{col 54}{space 4}-.1431693{col 67}{space 3} .0527125
{txt}c_treatful.. {c |}{col 14}{res}{space 2}   .02526{col 26}{space 2} .0565091{col 37}{space 1}    0.45{col 46}{space 3}0.655{col 54}{space 4}-.0862212{col 67}{space 3} .1367412
{txt}c_treatful.. {c |}{col 14}{res}{space 2}-.0490911{col 26}{space 2}    .0689{col 37}{space 1}   -0.71{col 46}{space 3}0.477{col 54}{space 4} -.185017{col 67}{space 3} .0868348
{txt}c_treatful.. {c |}{col 14}{res}{space 2}-.1300383{col 26}{space 2} .0717125{col 37}{space 1}   -1.81{col 46}{space 3}0.071{col 54}{space 4}-.2715127{col 67}{space 3} .0114361
{txt}c_treatful.. {c |}{col 14}{res}{space 2} .0067287{col 26}{space 2} .0039996{col 37}{space 1}    1.68{col 46}{space 3}0.094{col 54}{space 4}-.0011616{col 67}{space 3}  .014619
{txt}c_treatful.. {c |}{col 14}{res}{space 2} .0054457{col 26}{space 2} .0177105{col 37}{space 1}    0.31{col 46}{space 3}0.759{col 54}{space 4}-.0294936{col 67}{space 3}  .040385
{txt}{space 7}_cons {c |}{col 14}{res}{space 2}-.0124352{col 26}{space 2} .0152402{col 37}{space 1}   -0.82{col 46}{space 3}0.416{col 54}{space 4}-.0425011{col 67}{space 3} .0176306
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull = 0{p_end}

{txt}       F(  1,   186) ={res}    0.34
{txt}{col 13}Prob > F ={res}    0.5598
{txt}note: bm_treatqual_z_d omitted because of collinearity
{res}
{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}     7,204
{txt}{col 49}F({res}  14{txt},{res}    186{txt}){col 67}= {res}      3.01
{txt}{col 49}Prob > F{col 67}= {res}    0.0003
{txt}{col 49}R-squared{col 67}= {res}    0.0949
{txt}{col 49}Adj R-squared{col 67}= {res}    0.0912
{txt}{col 49}Root MSE{col 67}= {res}    0.3835

{txt}{ralign 78:(Std. Err. adjusted for {res:187} clusters in hc_id)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}m_treatq~l_z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2} .0604266{col 26}{space 2} .0326976{col 37}{space 1}    1.85{col 46}{space 3}0.066{col 54}{space 4}-.0040792{col 67}{space 3} .1249324
{txt}bm_treat~l_z {c |}{col 14}{res}{space 2} .0731633{col 26}{space 2} .0326687{col 37}{space 1}    2.24{col 46}{space 3}0.026{col 54}{space 4} .0087145{col 67}{space 3} .1376121
{txt}bm_tre~l_z_d {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 1}c_tfull_hc2 {c |}{col 14}{res}{space 2}-.1376291{col 26}{space 2} .0612461{col 37}{space 1}   -2.25{col 46}{space 3}0.026{col 54}{space 4}-.2584554{col 67}{space 3}-.0168028
{txt}c_tfull_b_~l {c |}{col 14}{res}{space 2}   .02153{col 26}{space 2} .0747343{col 37}{space 1}    0.29{col 46}{space 3}0.774{col 54}{space 4}-.1259057{col 67}{space 3} .1689658
{txt}c_tfull_b_~s {c |}{col 14}{res}{space 2} .0048843{col 26}{space 2}  .088254{col 37}{space 1}    0.06{col 46}{space 3}0.956{col 54}{space 4}-.1692232{col 67}{space 3} .1789918
{txt}c_tfull_bm~d {c |}{col 14}{res}{space 2} .0521717{col 26}{space 2} .0439664{col 37}{space 1}    1.19{col 46}{space 3}0.237{col 54}{space 4}-.0345651{col 67}{space 3} .1389086
{txt}c_tfull_bm~r {c |}{col 14}{res}{space 2}-.0033911{col 26}{space 2} .0022823{col 37}{space 1}   -1.49{col 46}{space 3}0.139{col 54}{space 4}-.0078936{col 67}{space 3} .0011115
{txt}c_tfull_bm~x {c |}{col 14}{res}{space 2} -.005954{col 26}{space 2} .0124257{col 37}{space 1}   -0.48{col 46}{space 3}0.632{col 54}{space 4}-.0304675{col 67}{space 3} .0185595
{txt}c_trea~l_hc2 {c |}{col 14}{res}{space 2} .0325815{col 26}{space 2} .0766564{col 37}{space 1}    0.43{col 46}{space 3}0.671{col 54}{space 4}-.1186463{col 67}{space 3} .1838093
{txt}c_treatful.. {c |}{col 14}{res}{space 2} -.016025{col 26}{space 2} .0948977{col 37}{space 1}   -0.17{col 46}{space 3}0.866{col 54}{space 4}-.2032393{col 67}{space 3} .1711892
{txt}c_treatful.. {c |}{col 14}{res}{space 2} .0017476{col 26}{space 2} .1013324{col 37}{space 1}    0.02{col 46}{space 3}0.986{col 54}{space 4} -.198161{col 67}{space 3} .2016561
{txt}c_treatful.. {c |}{col 14}{res}{space 2}-.0462742{col 26}{space 2} .0519306{col 37}{space 1}   -0.89{col 46}{space 3}0.374{col 54}{space 4}-.1487229{col 67}{space 3} .0561745
{txt}c_treatful.. {c |}{col 14}{res}{space 2} .0048496{col 26}{space 2}  .002789{col 37}{space 1}    1.74{col 46}{space 3}0.084{col 54}{space 4}-.0006525{col 67}{space 3} .0103517
{txt}c_treatful.. {c |}{col 14}{res}{space 2} .0093545{col 26}{space 2} .0173247{col 37}{space 1}    0.54{col 46}{space 3}0.590{col 54}{space 4}-.0248236{col 67}{space 3} .0435326
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} -.002198{col 26}{space 2} .0235938{col 37}{space 1}   -0.09{col 46}{space 3}0.926{col 54}{space 4}-.0487438{col 67}{space 3} .0443478
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull = 0{p_end}

{txt}       F(  1,   186) ={res}    3.42
{txt}{col 13}Prob > F ={res}    0.0662
{txt}note: bm_patsat_z_d omitted because of collinearity
{res}
{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}     7,204
{txt}{col 49}F({res}  14{txt},{res}    186{txt}){col 67}= {res}     12.94
{txt}{col 49}Prob > F{col 67}= {res}    0.0000
{txt}{col 49}R-squared{col 67}= {res}    0.0493
{txt}{col 49}Adj R-squared{col 67}= {res}    0.0455
{txt}{col 49}Root MSE{col 67}= {res}    0.6156

{txt}{ralign 78:(Std. Err. adjusted for {res:187} clusters in hc_id)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}  m_patsat_z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2} .0363256{col 26}{space 2} .0286588{col 37}{space 1}    1.27{col 46}{space 3}0.207{col 54}{space 4}-.0202124{col 67}{space 3} .0928636
{txt}{space 1}bm_patsat_z {c |}{col 14}{res}{space 2} .1614355{col 26}{space 2}  .014939{col 37}{space 1}   10.81{col 46}{space 3}0.000{col 54}{space 4}  .131964{col 67}{space 3} .1909071
{txt}bm_pat~t_z_d {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 1}c_tfull_hc2 {c |}{col 14}{res}{space 2}-.0064411{col 26}{space 2} .0524522{col 37}{space 1}   -0.12{col 46}{space 3}0.902{col 54}{space 4}-.1099187{col 67}{space 3} .0970366
{txt}c_tfull_b_~l {c |}{col 14}{res}{space 2} .0884711{col 26}{space 2} .0633065{col 37}{space 1}    1.40{col 46}{space 3}0.164{col 54}{space 4}  -.03642{col 67}{space 3} .2133621
{txt}c_tfull_b_~s {c |}{col 14}{res}{space 2} .0490092{col 26}{space 2}  .059469{col 37}{space 1}    0.82{col 46}{space 3}0.411{col 54}{space 4}-.0683112{col 67}{space 3} .1663296
{txt}c_tfull_bm~d {c |}{col 14}{res}{space 2}-.0134006{col 26}{space 2} .0307599{col 37}{space 1}   -0.44{col 46}{space 3}0.664{col 54}{space 4}-.0740837{col 67}{space 3} .0472825
{txt}c_tfull_bm~r {c |}{col 14}{res}{space 2} .0000237{col 26}{space 2}  .002606{col 37}{space 1}    0.01{col 46}{space 3}0.993{col 54}{space 4}-.0051173{col 67}{space 3} .0051648
{txt}c_tfull_bm~x {c |}{col 14}{res}{space 2} .0081999{col 26}{space 2} .0108198{col 37}{space 1}    0.76{col 46}{space 3}0.449{col 54}{space 4}-.0131454{col 67}{space 3} .0295453
{txt}c_trea~l_hc2 {c |}{col 14}{res}{space 2}-.0282697{col 26}{space 2} .0691475{col 37}{space 1}   -0.41{col 46}{space 3}0.683{col 54}{space 4}-.1646839{col 67}{space 3} .1081445
{txt}c_treatful.. {c |}{col 14}{res}{space 2}-.0798873{col 26}{space 2} .0766996{col 37}{space 1}   -1.04{col 46}{space 3}0.299{col 54}{space 4}-.2312004{col 67}{space 3} .0714257
{txt}c_treatful.. {c |}{col 14}{res}{space 2}-.0541862{col 26}{space 2}  .069821{col 37}{space 1}   -0.78{col 46}{space 3}0.439{col 54}{space 4} -.191929{col 67}{space 3} .0835566
{txt}c_treatful.. {c |}{col 14}{res}{space 2} .0992338{col 26}{space 2} .0514003{col 37}{space 1}    1.93{col 46}{space 3}0.055{col 54}{space 4}-.0021688{col 67}{space 3} .2006364
{txt}c_treatful.. {c |}{col 14}{res}{space 2} .0032855{col 26}{space 2} .0036688{col 37}{space 1}    0.90{col 46}{space 3}0.372{col 54}{space 4}-.0039523{col 67}{space 3} .0105233
{txt}c_treatful.. {c |}{col 14}{res}{space 2} .0219722{col 26}{space 2} .0157879{col 37}{space 1}    1.39{col 46}{space 3}0.166{col 54}{space 4}-.0091742{col 67}{space 3} .0531187
{txt}{space 7}_cons {c |}{col 14}{res}{space 2}-.0000974{col 26}{space 2} .0192807{col 37}{space 1}   -0.01{col 46}{space 3}0.996{col 54}{space 4}-.0381343{col 67}{space 3} .0379395
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull = 0{p_end}

{txt}       F(  1,   186) ={res}    1.61
{txt}{col 13}Prob > F ={res}    0.2066
{txt}note: bm_commtg_z_d omitted because of collinearity
{res}
{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}     7,204
{txt}{col 49}F({res}  14{txt},{res}    186{txt}){col 67}= {res}      7.88
{txt}{col 49}Prob > F{col 67}= {res}    0.0000
{txt}{col 49}R-squared{col 67}= {res}    0.0497
{txt}{col 49}Adj R-squared{col 67}= {res}    0.0459
{txt}{col 49}Root MSE{col 67}= {res}    0.5589

{txt}{ralign 78:(Std. Err. adjusted for {res:187} clusters in hc_id)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}  m_commtg_z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2} .0175448{col 26}{space 2} .0242387{col 37}{space 1}    0.72{col 46}{space 3}0.470{col 54}{space 4}-.0302733{col 67}{space 3} .0653629
{txt}{space 1}bm_commtg_z {c |}{col 14}{res}{space 2} .0806278{col 26}{space 2} .0114395{col 37}{space 1}    7.05{col 46}{space 3}0.000{col 54}{space 4} .0580599{col 67}{space 3} .1031958
{txt}bm_commt~z_d {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 1}c_tfull_hc2 {c |}{col 14}{res}{space 2} .0675066{col 26}{space 2} .0444454{col 37}{space 1}    1.52{col 46}{space 3}0.130{col 54}{space 4}-.0201754{col 67}{space 3} .1551885
{txt}c_tfull_b_~l {c |}{col 14}{res}{space 2} .0206174{col 26}{space 2} .0526249{col 37}{space 1}    0.39{col 46}{space 3}0.696{col 54}{space 4} -.083201{col 67}{space 3} .1244358
{txt}c_tfull_b_~s {c |}{col 14}{res}{space 2} .0353608{col 26}{space 2}  .065736{col 37}{space 1}    0.54{col 46}{space 3}0.591{col 54}{space 4}-.0943231{col 67}{space 3} .1650447
{txt}c_tfull_bm~d {c |}{col 14}{res}{space 2} .1132472{col 26}{space 2} .0365105{col 37}{space 1}    3.10{col 46}{space 3}0.002{col 54}{space 4} .0412192{col 67}{space 3} .1852752
{txt}c_tfull_bm~r {c |}{col 14}{res}{space 2} .0023999{col 26}{space 2} .0024512{col 37}{space 1}    0.98{col 46}{space 3}0.329{col 54}{space 4}-.0024358{col 67}{space 3} .0072356
{txt}c_tfull_bm~x {c |}{col 14}{res}{space 2} .0169227{col 26}{space 2} .0138556{col 37}{space 1}    1.22{col 46}{space 3}0.223{col 54}{space 4}-.0104116{col 67}{space 3}  .044257
{txt}c_trea~l_hc2 {c |}{col 14}{res}{space 2}-.0162592{col 26}{space 2} .0569137{col 37}{space 1}   -0.29{col 46}{space 3}0.775{col 54}{space 4}-.1285385{col 67}{space 3} .0960201
{txt}c_treatful.. {c |}{col 14}{res}{space 2} .0328371{col 26}{space 2} .0620491{col 37}{space 1}    0.53{col 46}{space 3}0.597{col 54}{space 4}-.0895734{col 67}{space 3} .1552475
{txt}c_treatful.. {c |}{col 14}{res}{space 2}-.0464405{col 26}{space 2} .0784872{col 37}{space 1}   -0.59{col 46}{space 3}0.555{col 54}{space 4}-.2012801{col 67}{space 3} .1083991
{txt}c_treatful.. {c |}{col 14}{res}{space 2} .0006923{col 26}{space 2} .0504944{col 37}{space 1}    0.01{col 46}{space 3}0.989{col 54}{space 4} -.098923{col 67}{space 3} .1003077
{txt}c_treatful.. {c |}{col 14}{res}{space 2} .0007878{col 26}{space 2} .0036744{col 37}{space 1}    0.21{col 46}{space 3}0.830{col 54}{space 4} -.006461{col 67}{space 3} .0080367
{txt}c_treatful.. {c |}{col 14}{res}{space 2} .0105914{col 26}{space 2}  .017561{col 37}{space 1}    0.60{col 46}{space 3}0.547{col 54}{space 4}-.0240529{col 67}{space 3} .0452358
{txt}{space 7}_cons {c |}{col 14}{res}{space 2}-.0005164{col 26}{space 2} .0181108{col 37}{space 1}   -0.03{col 46}{space 3}0.977{col 54}{space 4}-.0362453{col 67}{space 3} .0352126
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull = 0{p_end}

{txt}       F(  1,   186) ={res}    0.52
{txt}{col 13}Prob > F ={res}    0.4701
{txt}
{com}.                 
.         foreach x in `indices_hc_ols' {c -(}
{txt}  2{com}.                 areg  m_`x' `var' bm_`x' bm_`x'_d `m_controls_tfull_hc' ``var'_hc_int_m_controls' if uniquehc == 1, robust a(district)
{txt}  3{com}.                 
.                 estimates store mm`y'
{txt}  4{com}.                 
.                 local n_1m_`x' = string(`e(N)',"%9.0fc")
{txt}  5{com}.                 local r2_1m_`x' = string(`e(r2)',"%9.3fc")
{txt}  6{com}.                 local est_1m_`x' = string(_b[`var'],"%9.3fc")
{txt}  7{com}.                 local se_1m_`x' = string(_se[`var'],"%9.3fc")
{txt}  8{com}.                 local p_1m_`x' = (2 * ttail(e(df_r), abs(_b[`var']/_se[`var'])))
{txt}  9{com}.                 local p_`y'm = (2 * ttail(e(df_r), abs(_b[`var']/_se[`var'])))
{txt} 10{com}.                 
.                 gen s_1m_1s_`x' = (`p_1m_`x''<=0.1 & `p_1m_`x''>0.05)
{txt} 11{com}.                 gen s_1m_2s_`x' = (`p_1m_`x''<=0.05 & `p_1m_`x''>0.01)
{txt} 12{com}.                 gen s_1m_3s_`x' = (`p_1m_`x''<=0.01 & `p_1m_`x''>=0)
{txt} 13{com}.         
.                 if s_1m_1s_`x' == 1 {c -(}
{txt} 14{com}.                                 local est_1m_`x' = "`est_1m_`x''*"
{txt} 15{com}.                                 {c )-}
{txt} 16{com}.                                 
.                 if s_1m_2s_`x' == 1 {c -(}
{txt} 17{com}.                                 local est_1m_`x' = "`est_1m_`x''**"
{txt} 18{com}.                                 {c )-}
{txt} 19{com}.                                 
.                 if s_1m_3s_`x' == 1 {c -(}
{txt} 20{com}.                                 local est_1m_`x' = "`est_1m_`x''***"
{txt} 21{com}.                                 {c )-}
{txt} 22{com}.                 
.                 local est_2m_`x' = string(_b[_cons],"%9.3fc")
{txt} 23{com}.                 local se_2m_`x' = string(_se[_cons],"%9.3fc")
{txt} 24{com}.                 local p_2m_`x' = (2 * ttail(e(df_r), abs(_b[_cons]/_se[_cons])))
{txt} 25{com}.                 
.                 gen s_2m_1s_`x' = (`p_2m_`x''<=0.1 & `p_2m_`x''>0.05)
{txt} 26{com}.                 gen s_2m_2s_`x' = (`p_2m_`x''<=0.05 & `p_2m_`x''>0.01)
{txt} 27{com}.                 gen s_2m_3s_`x' = (`p_2m_`x''<=0.01 & `p_2m_`x''>=0)
{txt} 28{com}.         
.                 if s_2m_1s_`x' == 1 {c -(}
{txt} 29{com}.                                 local est_2m_`x' = "`est_2m_`x''*"
{txt} 30{com}.                                 {c )-}
{txt} 31{com}.                                 
.                 if s_2m_2s_`x' == 1 {c -(}
{txt} 32{com}.                                 local est_2m_`x' = "`est_2m_`x''**"
{txt} 33{com}.                                 {c )-}
{txt} 34{com}.                                 
.                 if s_2m_3s_`x' == 1 {c -(}
{txt} 35{com}.                                 local est_2m_`x' = "`est_2m_`x''***"
{txt} 36{com}.                                 {c )-}
{txt} 37{com}.                                 
.                 test treatfull = 0
{txt} 38{com}.                 local f_waldm_`x' = string(`r(p)',"%9.3fc")
{txt} 39{com}.                 
.                 local y = `y' + 1
{txt} 40{com}.                 {c )-}
{p 0 6 2}{txt}note: bm_h_ctzpressure_z_d omitted because of collinearity{p_end}
{res}
{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}       187
{txt}{col 49}F({res}  14{txt},{res}    157{txt}){col 67}= {res}      0.74
{txt}{col 49}Prob > F{col 67}= {res}    0.7314
{txt}{col 49}R-squared{col 67}= {res}    0.1127
{txt}{col 49}Adj R-squared{col 67}= {res}   -0.0512
{txt}{col 49}Root MSE{col 67}= {res}    0.8873

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}m_h_ctzpre~z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2}-.1319101{col 26}{space 2} .1286602{col 37}{space 1}   -1.03{col 46}{space 3}0.307{col 54}{space 4}-.3860384{col 67}{space 3} .1222182
{txt}bm_h_ctzpr~z {c |}{col 14}{res}{space 2}-.0410954{col 26}{space 2} .0996812{col 37}{space 1}   -0.41{col 46}{space 3}0.681{col 54}{space 4}-.2379846{col 67}{space 3} .1557938
{txt}bm_h_ctzpr~d {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
c_tf~_hc_hc2 {c |}{col 14}{res}{space 2}-.0805302{col 26}{space 2} .1783674{col 37}{space 1}   -0.45{col 46}{space 3}0.652{col 54}{space 4}-.4328396{col 67}{space 3} .2717792
{txt}c_tfull_hc~l {c |}{col 14}{res}{space 2} .0759161{col 26}{space 2} .2730998{col 37}{space 1}    0.28{col 46}{space 3}0.781{col 54}{space 4}-.4635077{col 67}{space 3} .6153399
{txt}c_tfull_hc~s {c |}{col 14}{res}{space 2}  .007455{col 26}{space 2} .3372551{col 37}{space 1}    0.02{col 46}{space 3}0.982{col 54}{space 4}-.6586876{col 67}{space 3} .6735977
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2} .6468491{col 26}{space 2} .9160304{col 37}{space 1}    0.71{col 46}{space 3}0.481{col 54}{space 4}-1.162484{col 67}{space 3} 2.456182
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2} -.129783{col 26}{space 2} .0893219{col 37}{space 1}   -1.45{col 46}{space 3}0.148{col 54}{space 4}-.3062107{col 67}{space 3} .0466446
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2} .4624973{col 26}{space 2} .2833254{col 37}{space 1}    1.63{col 46}{space 3}0.105{col 54}{space 4} -.097124{col 67}{space 3} 1.022118
{txt}c_treatful.. {c |}{col 14}{res}{space 2}-.1273394{col 26}{space 2} .2799637{col 37}{space 1}   -0.45{col 46}{space 3}0.650{col 54}{space 4}-.6803206{col 67}{space 3} .4256418
{txt}c_treatful.. {c |}{col 14}{res}{space 2}-.2522103{col 26}{space 2} .4022873{col 37}{space 1}   -0.63{col 46}{space 3}0.532{col 54}{space 4}-1.046804{col 67}{space 3} .5423833
{txt}c_treatful.. {c |}{col 14}{res}{space 2}-.1582194{col 26}{space 2} .4270432{col 37}{space 1}   -0.37{col 46}{space 3}0.712{col 54}{space 4} -1.00171{col 67}{space 3} .6852717
{txt}c_treatful.. {c |}{col 14}{res}{space 2}-.4259249{col 26}{space 2} 1.455005{col 37}{space 1}   -0.29{col 46}{space 3}0.770{col 54}{space 4}-3.299834{col 67}{space 3} 2.447985
{txt}c_treatful.. {c |}{col 14}{res}{space 2}-.0656138{col 26}{space 2} .1507281{col 37}{space 1}   -0.44{col 46}{space 3}0.664{col 54}{space 4}-.3633303{col 67}{space 3} .2321026
{txt}c_treatful.. {c |}{col 14}{res}{space 2} .0524217{col 26}{space 2} .4411216{col 37}{space 1}    0.12{col 46}{space 3}0.906{col 54}{space 4}-.8188769{col 67}{space 3} .9237204
{txt}{space 7}_cons {c |}{col 14}{res}{space 2}-.0052806{col 26}{space 2} .0857583{col 37}{space 1}   -0.06{col 46}{space 3}0.951{col 54}{space 4}-.1746694{col 67}{space 3} .1641082
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull = 0{p_end}

{txt}       F(  1,   157) ={res}    1.05
{txt}{col 13}Prob > F ={res}    0.3068
{txt}
{com}.         
.         * Health outcome
.         
.         * At midline
.         
.         use "${c -(}usedata{c )-}/healthoutcome_midline_ind.dta", clear
{txt}
{com}. 
.         * Regressions at midline
. 
.         local var treatfull
{txt}
{com}.         
.         areg  m_healthoutcome_z treatfull b_healthoutcome_z b_healthoutcome_z_d `m_controls_tfull' ``var'_int_m_controls', robust cl(hc_id) a(district) 

{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}     5,337
{txt}{col 49}F({res}  15{txt},{res}    186{txt}){col 67}= {res}     28.06
{txt}{col 49}Prob > F{col 67}= {res}    0.0000
{txt}{col 49}R-squared{col 67}= {res}    0.1018
{txt}{col 49}Adj R-squared{col 67}= {res}    0.0967
{txt}{col 49}Root MSE{col 67}= {res}    0.9358

{txt}{ralign 78:(Std. Err. adjusted for {res:187} clusters in hc_id)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}m_healthou~z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2} .0239707{col 26}{space 2} .0273363{col 37}{space 1}    0.88{col 46}{space 3}0.382{col 54}{space 4}-.0299584{col 67}{space 3} .0778998
{txt}b_healthou~z {c |}{col 14}{res}{space 2} .2722499{col 26}{space 2} .0178593{col 37}{space 1}   15.24{col 46}{space 3}0.000{col 54}{space 4} .2370171{col 67}{space 3} .3074827
{txt}b_healthou~d {c |}{col 14}{res}{space 2} .3149485{col 26}{space 2} .0301197{col 37}{space 1}   10.46{col 46}{space 3}0.000{col 54}{space 4} .2555283{col 67}{space 3} .3743686
{txt}{space 1}c_tfull_hc2 {c |}{col 14}{res}{space 2} -.036769{col 26}{space 2} .0484092{col 37}{space 1}   -0.76{col 46}{space 3}0.448{col 54}{space 4}-.1322706{col 67}{space 3} .0587327
{txt}c_tfull_b_~l {c |}{col 14}{res}{space 2} .0442615{col 26}{space 2}  .067278{col 37}{space 1}    0.66{col 46}{space 3}0.511{col 54}{space 4}-.0884647{col 67}{space 3} .1769876
{txt}c_tfull_b_~s {c |}{col 14}{res}{space 2}-.1079548{col 26}{space 2} .0692318{col 37}{space 1}   -1.56{col 46}{space 3}0.121{col 54}{space 4}-.2445353{col 67}{space 3} .0286257
{txt}c_tfull_bm~d {c |}{col 14}{res}{space 2} .1494553{col 26}{space 2} .0774673{col 37}{space 1}    1.93{col 46}{space 3}0.055{col 54}{space 4}-.0033723{col 67}{space 3} .3022828
{txt}c_tfull_bm~r {c |}{col 14}{res}{space 2}-.0035984{col 26}{space 2} .0052013{col 37}{space 1}   -0.69{col 46}{space 3}0.490{col 54}{space 4}-.0138595{col 67}{space 3} .0066626
{txt}c_tfull_bm~x {c |}{col 14}{res}{space 2} .0375788{col 26}{space 2} .0199465{col 37}{space 1}    1.88{col 46}{space 3}0.061{col 54}{space 4}-.0017717{col 67}{space 3} .0769293
{txt}c_trea~l_hc2 {c |}{col 14}{res}{space 2} .0548457{col 26}{space 2} .0660649{col 37}{space 1}    0.83{col 46}{space 3}0.408{col 54}{space 4}-.0754872{col 67}{space 3} .1851786
{txt}c_treatful.. {c |}{col 14}{res}{space 2}-.0798344{col 26}{space 2} .0785881{col 37}{space 1}   -1.02{col 46}{space 3}0.311{col 54}{space 4} -.234873{col 67}{space 3} .0752041
{txt}c_treatful.. {c |}{col 14}{res}{space 2} .1423376{col 26}{space 2} .0813523{col 37}{space 1}    1.75{col 46}{space 3}0.082{col 54}{space 4}-.0181542{col 67}{space 3} .3028295
{txt}c_treatful.. {c |}{col 14}{res}{space 2} -.132887{col 26}{space 2}  .117108{col 37}{space 1}   -1.13{col 46}{space 3}0.258{col 54}{space 4}-.3639176{col 67}{space 3} .0981435
{txt}c_treatful.. {c |}{col 14}{res}{space 2} .0082825{col 26}{space 2} .0068921{col 37}{space 1}    1.20{col 46}{space 3}0.231{col 54}{space 4}-.0053143{col 67}{space 3} .0218793
{txt}c_treatful.. {c |}{col 14}{res}{space 2}-.0280044{col 26}{space 2} .0277518{col 37}{space 1}   -1.01{col 46}{space 3}0.314{col 54}{space 4}-.0827532{col 67}{space 3} .0267445
{txt}{space 7}_cons {c |}{col 14}{res}{space 2}  -.15275{col 26}{space 2} .0232403{col 37}{space 1}   -6.57{col 46}{space 3}0.000{col 54}{space 4}-.1985985{col 67}{space 3}-.1069016
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{com}.                 
.                 estimates store mm6
{txt}
{com}.                 
.                 local n_1m_healthout_z = string(`e(N)',"%9.0fc")
{txt}
{com}.                 local r2_1m_healthout_z = string(`e(r2)',"%9.3fc")
{txt}
{com}.                 local est_1m_healthout_z = string(_b[`var'],"%9.3fc")
{txt}
{com}.                 local se_1m_healthout_z = string(_se[`var'],"%9.3fc")
{txt}
{com}.                 local p_1m_healthout_z = (2 * ttail(e(df_r), abs(_b[`var']/_se[`var'])))
{txt}
{com}.                 local p_6m = (2 * ttail(e(df_r), abs(_b[`var']/_se[`var'])))
{txt}
{com}.                 
.                 gen s_1m_1s_healthout_z = (`p_1m_healthout_z'<=0.1 & `p_1m_healthout_z'>0.05)
{txt}
{com}.                 gen s_1m_2s_healthout_z = (`p_1m_healthout_z'<=0.05 & `p_1m_healthout_z'>0.01)
{txt}
{com}.                 gen s_1m_3s_healthout_z = (`p_1m_healthout_z'<=0.01 & `p_1m_healthout_z'>=0)
{txt}
{com}.         
.                 if s_1m_1s_healthout_z == 1 {c -(}
.                                 local est_1m_healthout_z = "`est_1m_healthout_z'*"
.                                 {c )-}
{txt}
{com}.                                 
.                 if s_1m_2s_healthout_z == 1 {c -(}
.                                 local est_1m_healthout_z = "`est_1m_healthout_z'**"
.                                 {c )-}
{txt}
{com}.                                 
.                 if s_1m_3s_healthout_z == 1 {c -(}
.                                 local est_1m_healthout_z = "`est_1m_healthout_z'***"
.                                 {c )-}
{txt}
{com}.                 
.                 local est_2m_healthout_z = string(_b[_cons],"%9.3fc")
{txt}
{com}.                 local se_2m_healthout_z = string(_se[_cons],"%9.3fc")
{txt}
{com}.                 local p_2m_healthout_z = (2 * ttail(e(df_r), abs(_b[_cons]/_se[_cons])))
{txt}
{com}.                 
.                 gen s_2m_1s_healthout_z = (`p_2m_healthout_z'<=0.1 & `p_2m_healthout_z'>0.05)
{txt}
{com}.                 gen s_2m_2s_healthout_z = (`p_2m_healthout_z'<=0.05 & `p_2m_healthout_z'>0.01)
{txt}
{com}.                 gen s_2m_3s_healthout_z = (`p_2m_healthout_z'<=0.01 & `p_2m_healthout_z'>=0)
{txt}
{com}.         
.                 if s_2m_1s_healthout_z == 1 {c -(}
.                                 local est_2m_healthout_z = "`est_2m_healthout_z'*"
.                                 {c )-}
{txt}
{com}.                                 
.                 if s_2m_2s_healthout_z == 1 {c -(}
.                                 local est_2m_healthout_z = "`est_2m_healthout_z'**"
.                                 {c )-}
{txt}
{com}.                                 
.                 if s_2m_3s_healthout_z == 1 {c -(}
.                                 local est_2m_healthout_z = "`est_2m_healthout_z'***"
.                                 {c )-}
{txt}
{com}.                                 
.                 test treatfull = 0

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull = 0{p_end}

{txt}       F(  1,   186) ={res}    0.77
{txt}{col 13}Prob > F ={res}    0.3817
{txt}
{com}.                 local f_waldm_healthout_z = string(`r(p)',"%9.3fc")     
{txt}
{com}.                                 
.         * Mortrate HC level (midline)
.         
.         use "${c -(}usedata{c )-}/chp_el_light_dataset.dta", clear
{txt}
{com}.                 
.         local y = 7
{txt}
{com}.         foreach x in `indices_hc' {c -(}
{txt}  2{com}.                 areg  m_`x' `var' bm_`x' `m_controls_tfull_hc' ``var'_hc_int_m_controls' if uniquehc == 1, robust a(district)
{txt}  3{com}.                 
.                 estimates store mm`y'
{txt}  4{com}.                 
.                 local n_1m_`x' = string(`e(N)',"%9.0fc")
{txt}  5{com}.                 local r2_1m_`x' = string(`e(r2)',"%9.3fc")
{txt}  6{com}.                 local est_1m_`x' = string(_b[`var'],"%9.3fc")
{txt}  7{com}.                 local se_1m_`x' = string(_se[`var'],"%9.3fc")
{txt}  8{com}.                 local p_1m_`x' = (2 * ttail(e(df_r), abs(_b[`var']/_se[`var'])))
{txt}  9{com}.                 local p_`y'm = (2 * ttail(e(df_r), abs(_b[`var']/_se[`var'])))
{txt} 10{com}.                 
.                 gen s_1m_1s_`x' = (`p_1m_`x''<=0.1 & `p_1m_`x''>0.05)
{txt} 11{com}.                 gen s_1m_2s_`x' = (`p_1m_`x''<=0.05 & `p_1m_`x''>0.01)
{txt} 12{com}.                 gen s_1m_3s_`x' = (`p_1m_`x''<=0.01 & `p_1m_`x''>=0)
{txt} 13{com}.         
.                 if s_1m_1s_`x' == 1 {c -(}
{txt} 14{com}.                                 local est_1m_`x' = "`est_1m_`x''*"
{txt} 15{com}.                                 {c )-}
{txt} 16{com}.                                 
.                 if s_1m_2s_`x' == 1 {c -(}
{txt} 17{com}.                                 local est_1m_`x' = "`est_1m_`x''**"
{txt} 18{com}.                                 {c )-}
{txt} 19{com}.                                 
.                 if s_1m_3s_`x' == 1 {c -(}
{txt} 20{com}.                                 local est_1m_`x' = "`est_1m_`x''***"
{txt} 21{com}.                                 {c )-}
{txt} 22{com}.                 
.                 local est_2m_`x' = string(_b[_cons],"%9.3fc")
{txt} 23{com}.                 local se_2m_`x' = string(_se[_cons],"%9.3fc")
{txt} 24{com}.                 local p_2m_`x' = (2 * ttail(e(df_r), abs(_b[_cons]/_se[_cons])))
{txt} 25{com}.                 
.                 gen s_2m_1s_`x' = (`p_2m_`x''<=0.1 & `p_2m_`x''>0.05)
{txt} 26{com}.                 gen s_2m_2s_`x' = (`p_2m_`x''<=0.05 & `p_2m_`x''>0.01)
{txt} 27{com}.                 gen s_2m_3s_`x' = (`p_2m_`x''<=0.01 & `p_2m_`x''>=0)
{txt} 28{com}.         
.                 if s_2m_1s_`x' == 1 {c -(}
{txt} 29{com}.                                 local est_2m_`x' = "`est_2m_`x''*"
{txt} 30{com}.                                 {c )-}
{txt} 31{com}.                                 
.                 if s_2m_2s_`x' == 1 {c -(}
{txt} 32{com}.                                 local est_2m_`x' = "`est_2m_`x''**"
{txt} 33{com}.                                 {c )-}
{txt} 34{com}.                                 
.                 if s_2m_3s_`x' == 1 {c -(}
{txt} 35{com}.                                 local est_2m_`x' = "`est_2m_`x''***"
{txt} 36{com}.                                 {c )-}
{txt} 37{com}.                 
.                 test treatfull = 0
{txt} 38{com}.                 local f_waldm_`x' = string(`r(p)',"%9.3fc")
{txt} 39{com}.                 
.                 {c )-}
{res}
{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}       187
{txt}{col 49}F({res}  14{txt},{res}    157{txt}){col 67}= {res}      1.19
{txt}{col 49}Prob > F{col 67}= {res}    0.2874
{txt}{col 49}R-squared{col 67}= {res}    0.2037
{txt}{col 49}Adj R-squared{col 67}= {res}    0.0566
{txt}{col 49}Root MSE{col 67}= {res}    0.0665

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}m_mortrat~05{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2}-.0140245{col 26}{space 2} .0100724{col 37}{space 1}   -1.39{col 46}{space 3}0.166{col 54}{space 4}-.0339195{col 67}{space 3} .0058705
{txt}bm_mortra~05 {c |}{col 14}{res}{space 2} .0617997{col 26}{space 2} .0757888{col 37}{space 1}    0.82{col 46}{space 3}0.416{col 54}{space 4}-.0878976{col 67}{space 3}  .211497
{txt}c_tf~_hc_hc2 {c |}{col 14}{res}{space 2} .0073776{col 26}{space 2} .0225614{col 37}{space 1}    0.33{col 46}{space 3}0.744{col 54}{space 4}-.0371854{col 67}{space 3} .0519406
{txt}c_tfull_hc~l {c |}{col 14}{res}{space 2}-.0142297{col 26}{space 2} .0264921{col 37}{space 1}   -0.54{col 46}{space 3}0.592{col 54}{space 4}-.0665566{col 67}{space 3} .0380971
{txt}c_tfull_hc~s {c |}{col 14}{res}{space 2} .0182348{col 26}{space 2} .0282384{col 37}{space 1}    0.65{col 46}{space 3}0.519{col 54}{space 4}-.0375414{col 67}{space 3} .0740109
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2}-.0213908{col 26}{space 2} .0680492{col 37}{space 1}   -0.31{col 46}{space 3}0.754{col 54}{space 4}-.1558009{col 67}{space 3} .1130192
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2}-.0097011{col 26}{space 2} .0092363{col 37}{space 1}   -1.05{col 46}{space 3}0.295{col 54}{space 4}-.0279446{col 67}{space 3} .0085423
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2} .0138536{col 26}{space 2} .0305349{col 37}{space 1}    0.45{col 46}{space 3}0.651{col 54}{space 4}-.0464586{col 67}{space 3} .0741658
{txt}c_treatful.. {c |}{col 14}{res}{space 2}-.0153994{col 26}{space 2} .0256287{col 37}{space 1}   -0.60{col 46}{space 3}0.549{col 54}{space 4} -.066021{col 67}{space 3} .0352222
{txt}c_treatful.. {c |}{col 14}{res}{space 2}  .020608{col 26}{space 2} .0292329{col 37}{space 1}    0.70{col 46}{space 3}0.482{col 54}{space 4}-.0371325{col 67}{space 3} .0783486
{txt}c_treatful.. {c |}{col 14}{res}{space 2}-.0510683{col 26}{space 2}    .0349{col 37}{space 1}   -1.46{col 46}{space 3}0.145{col 54}{space 4}-.1200023{col 67}{space 3} .0178658
{txt}c_treatful.. {c |}{col 14}{res}{space 2}-.0730007{col 26}{space 2} .1199543{col 37}{space 1}   -0.61{col 46}{space 3}0.544{col 54}{space 4}-.3099332{col 67}{space 3} .1639318
{txt}c_treatful.. {c |}{col 14}{res}{space 2}-.0131127{col 26}{space 2} .0114669{col 37}{space 1}   -1.14{col 46}{space 3}0.255{col 54}{space 4} -.035762{col 67}{space 3} .0095366
{txt}c_treatful.. {c |}{col 14}{res}{space 2}  .000323{col 26}{space 2} .0356759{col 37}{space 1}    0.01{col 46}{space 3}0.993{col 54}{space 4}-.0701436{col 67}{space 3} .0707896
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} .0540044{col 26}{space 2} .0076871{col 37}{space 1}    7.03{col 46}{space 3}0.000{col 54}{space 4} .0388209{col 67}{space 3} .0691878
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull = 0{p_end}

{txt}       F(  1,   157) ={res}    1.94
{txt}{col 13}Prob > F ={res}    0.1658

{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}       187
{txt}{col 49}F({res}  14{txt},{res}    157{txt}){col 67}= {res}      0.74
{txt}{col 49}Prob > F{col 67}= {res}    0.7314
{txt}{col 49}R-squared{col 67}= {res}    0.1127
{txt}{col 49}Adj R-squared{col 67}= {res}   -0.0512
{txt}{col 49}Root MSE{col 67}= {res}    0.8873

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}m_h_ctzpre~z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2}-.1319101{col 26}{space 2} .1286602{col 37}{space 1}   -1.03{col 46}{space 3}0.307{col 54}{space 4}-.3860384{col 67}{space 3} .1222182
{txt}bm_h_ctzpr~z {c |}{col 14}{res}{space 2}-.0410954{col 26}{space 2} .0996812{col 37}{space 1}   -0.41{col 46}{space 3}0.681{col 54}{space 4}-.2379846{col 67}{space 3} .1557938
{txt}c_tf~_hc_hc2 {c |}{col 14}{res}{space 2}-.0805302{col 26}{space 2} .1783674{col 37}{space 1}   -0.45{col 46}{space 3}0.652{col 54}{space 4}-.4328396{col 67}{space 3} .2717792
{txt}c_tfull_hc~l {c |}{col 14}{res}{space 2} .0759161{col 26}{space 2} .2730998{col 37}{space 1}    0.28{col 46}{space 3}0.781{col 54}{space 4}-.4635077{col 67}{space 3} .6153399
{txt}c_tfull_hc~s {c |}{col 14}{res}{space 2}  .007455{col 26}{space 2} .3372551{col 37}{space 1}    0.02{col 46}{space 3}0.982{col 54}{space 4}-.6586876{col 67}{space 3} .6735977
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2} .6468491{col 26}{space 2} .9160304{col 37}{space 1}    0.71{col 46}{space 3}0.481{col 54}{space 4}-1.162484{col 67}{space 3} 2.456182
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2} -.129783{col 26}{space 2} .0893219{col 37}{space 1}   -1.45{col 46}{space 3}0.148{col 54}{space 4}-.3062107{col 67}{space 3} .0466446
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2} .4624973{col 26}{space 2} .2833254{col 37}{space 1}    1.63{col 46}{space 3}0.105{col 54}{space 4} -.097124{col 67}{space 3} 1.022118
{txt}c_treatful.. {c |}{col 14}{res}{space 2}-.1273394{col 26}{space 2} .2799637{col 37}{space 1}   -0.45{col 46}{space 3}0.650{col 54}{space 4}-.6803206{col 67}{space 3} .4256418
{txt}c_treatful.. {c |}{col 14}{res}{space 2}-.2522103{col 26}{space 2} .4022873{col 37}{space 1}   -0.63{col 46}{space 3}0.532{col 54}{space 4}-1.046804{col 67}{space 3} .5423833
{txt}c_treatful.. {c |}{col 14}{res}{space 2}-.1582194{col 26}{space 2} .4270432{col 37}{space 1}   -0.37{col 46}{space 3}0.712{col 54}{space 4} -1.00171{col 67}{space 3} .6852717
{txt}c_treatful.. {c |}{col 14}{res}{space 2}-.4259249{col 26}{space 2} 1.455005{col 37}{space 1}   -0.29{col 46}{space 3}0.770{col 54}{space 4}-3.299834{col 67}{space 3} 2.447985
{txt}c_treatful.. {c |}{col 14}{res}{space 2}-.0656138{col 26}{space 2} .1507281{col 37}{space 1}   -0.44{col 46}{space 3}0.664{col 54}{space 4}-.3633303{col 67}{space 3} .2321026
{txt}c_treatful.. {c |}{col 14}{res}{space 2} .0524217{col 26}{space 2} .4411216{col 37}{space 1}    0.12{col 46}{space 3}0.906{col 54}{space 4}-.8188769{col 67}{space 3} .9237204
{txt}{space 7}_cons {c |}{col 14}{res}{space 2}-.0052806{col 26}{space 2} .0857583{col 37}{space 1}   -0.06{col 46}{space 3}0.951{col 54}{space 4}-.1746694{col 67}{space 3} .1641082
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull = 0{p_end}

{txt}       F(  1,   157) ={res}    1.05
{txt}{col 13}Prob > F ={res}    0.3068
{txt}
{com}.                 
.         * We calculate the adjusted p-value
.         
.         * Midline
.                 
.         local psm `p_1m'
{txt}
{com}.         forvalues x = 2/`y' {c -(}
{txt}  2{com}.                 local psm `psm' \ `p_`x'm'
{txt}  3{com}.                 {c )-}
{txt}
{com}. 
.         matrix mat = (`psm')
{txt}
{com}.                 
.         * We need to rank the p-value, transpose it and transfer it to local
.         
.         matsort mat 1 "up"
{txt}
{com}.         
.         mat psm_mat = mat'
{txt}
{com}.         
.         mat list psm_mat
{res}
{txt}psm_mat[1,7]
           r2         r3         r5         r7
c1 {res} .06618368  .20655347  .30681798  .30681798

{txt}           r6         r4         r1
c1 {res} .38168259  .47007638  .55978824
{reset}
{com}.         
.         local psm_rank
{txt}
{com}.         
.         forvalues z = 1/`y' {c -(}
{txt}  2{com}.                 local x = psm_mat[1,`z']
{txt}  3{com}.                 local psm_rank `psm_rank' `x'
{txt}  4{com}.                 {c )-}
{txt}
{com}.                 
.         di "`psm_rank'"
{res}.0661836814650772 .206553465691087 .3068179778207309 .3068179778207309 .3816825884383553 .4700763762302469 .5597882433549839
{txt}
{com}.         
.         * We count the number of tests (numerator)
.         
.         local num_p = `y'
{txt}
{com}.         
.         * We calculate the BH value
.         
.         local z = 0
{txt}
{com}.         foreach i of local psm_rank {c -(}
{txt}  2{com}.                 local z = `z' + 1 
{txt}  3{com}.                 local adj_p`z'm = (`i' * `num_p') / `z'
{txt}  4{com}.                 {c )-}
{txt}
{com}.                 
.         * We compare it according to the rank and eventually replace it
.         
.         forvalues r = 1/`y' {c -(}
{txt}  2{com}.         local d = `y' - 1
{txt}  3{com}.         forvalues z = 1/`d' {c -(}
{txt}  4{com}.                 local v = `z' + 1
{txt}  5{com}.                         if `adj_p`z'm' >= `adj_p`v'm' {c -(}
{txt}  6{com}.                                 local adj_p`z'm `adj_p`v'm'
{txt}  7{com}.                                 {c )-}
{txt}  8{com}.                         {c )-}
{txt}  9{com}.                         {c )-}
{txt}
{com}.         
.         * We store it in the estimator
.         
.         local z = 0
{txt}
{com}.         foreach i of local psm_rank {c -(}
{txt}  2{com}.                 local z = `z' + 1 
{txt}  3{com}.                 forvalues j = 1/`y' {c -(}
{txt}  4{com}.                         if `i' == `p_`j'm' {c -(} 
{txt}  5{com}.                         local adj_pm`j' = string(`adj_p`z'm',"%9.3fc")
{txt}  6{com}.                         {c )-}
{txt}  7{com}.                 {c )-}
{txt}  8{com}.                 {c )-}
{txt}
{com}.                 
.         * We create the tables concerning the results of the main indices
.         
.         texdoc init "${c -(}tables{c )-}/TableI50.tex", replace force
{res}{txt}(texdoc output file is /Users/fredericcochinard/Dropbox/ACT_Health_JOP_replication_file/3.Tables and Figures/Tables/TableI50.tex)
{res}{txt}
{com}.         tex \begin{c -(}table{c )-}[htbp]\centering
{res}{txt}
{com}.         tex \footnotesize
{res}{txt}
{com}.         tex \def\sym#1{c -(}\ifmmode^{c -(}#1{c )-}\else\(^{c -(}#1{c )-}\)\fi{c )-}
{res}{txt}
{com}.         tex \caption{c -(}Main outcomes (midline) - Full treatment{c )-}
{res}{txt}
{com}.         tex \begin{c -(}tabular{c )-}{c -(}lgggggggggg{c )-}
{res}{txt}
{com}.         tex \toprule
{res}{txt}
{com}.         tex                                                                                       & (1)                       & (2)                                                          & (3)                                                             & (4)                                                        & (5)  & (6) & (7)                       \\
{res}{txt}
{com}.     tex \multirow{c -(}-2{c )-}{c -(}*{c )-}{c -(}{c )-}            & \textbf{c -(}\begin{c -(}tabular{c )-}[c]{c -(}@{c -(}{c )-}c@{c -(}{c )-}{c )-}Citizen \\ monitoring\end{c -(}tabular{c )-}{c )-} & \textbf{c -(}\begin{c -(}tabular{c )-}[c]{c -(}@{c -(}{c )-}c@{c -(}{c )-}{c )-}Perceived \\ citizen \\ pressure\end{c -(}tabular{c )-}{c )-}                    & \textbf{c -(}Utilization{c )-}      & \textbf{c -(}\begin{c -(}tabular{c )-}[c]{c -(}@{c -(}{c )-}c@{c -(}{c )-}{c )-}Treatment \\ quality\end{c -(}tabular{c )-}{c )-} & \textbf{c -(}\begin{c -(}tabular{c )-}[c]{c -(}@{c -(}{c )-}c@{c -(}{c )-}{c )-}Patient \\ satisfaction\end{c -(}tabular{c )-}{c )-} & \textbf{c -(}\begin{c -(}tabular{c )-}[c]{c -(}@{c -(}{c )-}c@{c -(}{c )-}{c )-}Health \\ outcomes\end{c -(}tabular{c )-}{c )-} & \textbf{c -(}\begin{c -(}tabular{c )-}[c]{c -(}@{c -(}{c )-}c@{c -(}{c )-}{c )-}Child \\ mortality\end{c -(}tabular{c )-}{c )-}        \\
{res}{txt}
{com}.         tex \midrule
{res}{txt}
{com}.         tex \multirow{c -(}2{c )-}{c -(}*{c )-}{c -(}Full treatment{c )-}  & `est_1m_commtg_z' & `est_1m_h_ctzpressure_z' & `est_1m_urate_z'           & `est_1m_treatqual_z'                                                            & `est_1m_patsat_z'                                                               & `est_1m_healthout_z'                                                          & `est_1m_mortrate_05'         \\
{res}{txt}
{com}.         tex  & (`se_1m_commtg_z') & (`se_1m_h_ctzpressure_z') & (`se_1m_urate_z')           & (`se_1m_treatqual_z')                                                            & (`se_1m_patsat_z')                                                               & (`se_1m_healthout_z')                                                         & (`se_1m_mortrate_05')         \\
{res}{txt}
{com}.         tex \multirow{c -(}2{c )-}{c -(}*{c )-}{c -(}Constant{c )-} & `est_2m_commtg_z' & `est_2m_h_ctzpressure_z' & `est_2m_urate_z'           & `est_2m_treatqual_z'                                                            & `est_2m_patsat_z'                                                              & `est_2m_healthout_z'                                                          & `est_2m_mortrate_05'         \\
{res}{txt}
{com}.         tex  & (`se_2m_commtg_z') & (`se_2m_h_ctzpressure_z') & (`se_2m_urate_z')           & (`se_2m_treatqual_z')                                                            & (`se_2m_patsat_z')                                                              & (`se_2m_healthout_z')                                                          & `se_2m_mortrate_05'         \\
{res}{txt}
{com}.         tex \midrule
{res}{txt}
{com}.         tex \multirow{c -(}1{c )-}{c -(}*{c )-}{c -(}N{c )-}  & `n_1m_commtg_z'  & `n_1m_h_ctzpressure_z' & `n_1m_urate_z'           & `n_1m_treatqual_z'                                                            & `n_1m_patsat_z'                                                           & `n_1m_healthout_z'                                                          & `n_1m_mortrate_05'         \\
{res}{txt}
{com}.         tex \multirow{c -(}1{c )-}{c -(}*{c )-}{c -(}R$^{c -(}2{c )-}${c )-} & `r2_1m_commtg_z'  & `r2_1m_h_ctzpressure_z'  & `r2_1m_urate_z'           & `r2_1m_treatqual_z'                                                           & `r2_1m_patsat_z'                                                              & `r2_1m_healthout_z'                                                         & `r2_1m_mortrate_05'         \\
{res}{txt}
{com}.         tex \multirow{c -(}1{c )-}{c -(}*{c )-}{c -(}P-value (Full treatment = 0){c )-}  & `f_waldm_commtg_z'  & `f_waldm_h_ctzpressure_z' & `f_waldm_urate_z'           & `f_waldm_treatqual_z'                                                            & `f_waldm_patsat_z'                                                              & `f_waldm_healthout_z'                                                          & `f_waldm_mortrate_05'         \\
{res}{txt}
{com}.         tex \multirow{c -(}2{c )-}{c -(}*{c )-}{c -(}Adjusted p-value (FT){c )-}   & `adj_pm4'  & `adj_pm5'  & `adj_pm1'           & `adj_pm2'                                                            & `adj_pm3'                                                               & `adj_pm6'                                                          & `adj_pm7'         \\
{res}{txt}
{com}.         tex \bottomrule
{res}{txt}
{com}.         tex \end{c -(}tabular{c )-}
{res}{txt}
{com}.         tex \end{c -(}table{c )-}
{res}{txt}
{com}.         texdoc close
{txt}(texdoc output written to {browse `"/Users/fredericcochinard/Dropbox/ACT_Health_JOP_replication_file/3.Tables and Figures/Tables/TableI50.tex"':/Users/fredericcochinard/Dropbox/ACT_Health_JOP_replication_file/3.Tables and Figures/Tables/TableI50.tex})
{res}{txt}
{com}.         
.         *************************************************************************
.         * Table I51: Intermediate outcomes (midline) – Averaged z-score indices *
.         *************************************************************************
. 
.         * In this part, we regress the intermediate outcomes over the full treatment vs control
.         
.         local var treatfull
{txt}
{com}.         
.         * At midline:
.         
.         eststo clear 
{txt}
{com}.         
.         * We work on the coefficient plot and tables for the intermediate indices
.         
.         * At midline:
.         
.         eststo clear
{txt}
{com}.         
.         local y = 1
{txt}
{com}.         foreach x in `intermediate' {c -(}
{txt}  2{com}.                 areg  m_`x' `var' bm_`x' bm_`x'_d `m_controls_tfull' ``var'_int_m_controls', robust cl(hc_id) a(district)
{txt}  3{com}.                 
.                 local p_`y' = (2 * ttail(e(df_r), abs(_b[`var']/_se[`var'])))
{txt}  4{com}.                 
.                 estimates store m`y'
{txt}  5{com}.                 
.                 test treatfull = 0
{txt}  6{com}.                 local f_waldm_`x' = string(`r(p)',"%9.3fc")
{txt}  7{com}.                 
.                 estadd scalar f_waldm = `f_waldm_`x''
{txt}  8{com}.                 
.                 local y = `y' + 1
{txt}  9{com}.                 {c )-}
{txt}note: bm_ctzknow_z_d omitted because of collinearity
{res}
{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}     7,204
{txt}{col 49}F({res}  14{txt},{res}    186{txt}){col 67}= {res}     21.57
{txt}{col 49}Prob > F{col 67}= {res}    0.0000
{txt}{col 49}R-squared{col 67}= {res}    0.1570
{txt}{col 49}Adj R-squared{col 67}= {res}    0.1536
{txt}{col 49}Root MSE{col 67}= {res}    0.6494

{txt}{ralign 78:(Std. Err. adjusted for {res:187} clusters in hc_id)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1} m_ctzknow_z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2} .0092544{col 26}{space 2} .0234136{col 37}{space 1}    0.40{col 46}{space 3}0.693{col 54}{space 4}-.0369361{col 67}{space 3} .0554448
{txt}bm_ctzknow_z {c |}{col 14}{res}{space 2} .0423971{col 26}{space 2} .0107906{col 37}{space 1}    3.93{col 46}{space 3}0.000{col 54}{space 4} .0211094{col 67}{space 3} .0636849
{txt}bm_ctzknow~d {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 1}c_tfull_hc2 {c |}{col 14}{res}{space 2}-.2354581{col 26}{space 2} .0420458{col 37}{space 1}   -5.60{col 46}{space 3}0.000{col 54}{space 4}-.3184061{col 67}{space 3}  -.15251
{txt}c_tfull_b_~l {c |}{col 14}{res}{space 2} .0945357{col 26}{space 2} .0534633{col 37}{space 1}    1.77{col 46}{space 3}0.079{col 54}{space 4}-.0109367{col 67}{space 3} .2000081
{txt}c_tfull_b_~s {c |}{col 14}{res}{space 2}-.1309426{col 26}{space 2} .0587431{col 37}{space 1}   -2.23{col 46}{space 3}0.027{col 54}{space 4}-.2468311{col 67}{space 3}-.0150542
{txt}c_tfull_bm~d {c |}{col 14}{res}{space 2} .1754077{col 26}{space 2} .0672887{col 37}{space 1}    2.61{col 46}{space 3}0.010{col 54}{space 4} .0426606{col 67}{space 3} .3081548
{txt}c_tfull_bm~r {c |}{col 14}{res}{space 2} .0148042{col 26}{space 2} .0029051{col 37}{space 1}    5.10{col 46}{space 3}0.000{col 54}{space 4}  .009073{col 67}{space 3} .0205354
{txt}c_tfull_bm~x {c |}{col 14}{res}{space 2}  .031916{col 26}{space 2} .0116679{col 37}{space 1}    2.74{col 46}{space 3}0.007{col 54}{space 4} .0088977{col 67}{space 3} .0549344
{txt}c_trea~l_hc2 {c |}{col 14}{res}{space 2} .0902339{col 26}{space 2} .0539719{col 37}{space 1}    1.67{col 46}{space 3}0.096{col 54}{space 4}-.0162419{col 67}{space 3} .1967098
{txt}c_treatful.. {c |}{col 14}{res}{space 2} .0792516{col 26}{space 2} .0631614{col 37}{space 1}    1.25{col 46}{space 3}0.211{col 54}{space 4}-.0453532{col 67}{space 3} .2038564
{txt}c_treatful.. {c |}{col 14}{res}{space 2} .0693346{col 26}{space 2} .0785409{col 37}{space 1}    0.88{col 46}{space 3}0.378{col 54}{space 4} -.085611{col 67}{space 3} .2242801
{txt}c_treatful.. {c |}{col 14}{res}{space 2}-.0802632{col 26}{space 2}  .086297{col 37}{space 1}   -0.93{col 46}{space 3}0.354{col 54}{space 4}  -.25051{col 67}{space 3} .0899835
{txt}c_treatful.. {c |}{col 14}{res}{space 2}  .000639{col 26}{space 2} .0042699{col 37}{space 1}    0.15{col 46}{space 3}0.881{col 54}{space 4}-.0077846{col 67}{space 3} .0090627
{txt}c_treatful.. {c |}{col 14}{res}{space 2} .0229875{col 26}{space 2} .0167211{col 37}{space 1}    1.37{col 46}{space 3}0.171{col 54}{space 4}-.0099998{col 67}{space 3} .0559749
{txt}{space 7}_cons {c |}{col 14}{res}{space 2}-.0090218{col 26}{space 2} .0169109{col 37}{space 1}   -0.53{col 46}{space 3}0.594{col 54}{space 4}-.0423837{col 67}{space 3} .0243401
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull = 0{p_end}

{txt}       F(  1,   186) ={res}    0.16
{txt}{col 13}Prob > F ={res}    0.6931

{txt}added scalar:
            e(f_waldm) =  {res}.693
{txt}note: bm_eff_z_d omitted because of collinearity
{res}
{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}     7,204
{txt}{col 49}F({res}  14{txt},{res}    186{txt}){col 67}= {res}     11.21
{txt}{col 49}Prob > F{col 67}= {res}    0.0000
{txt}{col 49}R-squared{col 67}= {res}    0.0439
{txt}{col 49}Adj R-squared{col 67}= {res}    0.0401
{txt}{col 49}Root MSE{col 67}= {res}    0.5904

{txt}{ralign 78:(Std. Err. adjusted for {res:187} clusters in hc_id)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}     m_eff_z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2}   .03909{col 26}{space 2} .0194103{col 37}{space 1}    2.01{col 46}{space 3}0.045{col 54}{space 4} .0007973{col 67}{space 3} .0773827
{txt}{space 4}bm_eff_z {c |}{col 14}{res}{space 2} .0752968{col 26}{space 2} .0116585{col 37}{space 1}    6.46{col 46}{space 3}0.000{col 54}{space 4} .0522969{col 67}{space 3} .0982968
{txt}{space 2}bm_eff_z_d {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 1}c_tfull_hc2 {c |}{col 14}{res}{space 2} .0317957{col 26}{space 2} .0381677{col 37}{space 1}    0.83{col 46}{space 3}0.406{col 54}{space 4}-.0435015{col 67}{space 3} .1070929
{txt}c_tfull_b_~l {c |}{col 14}{res}{space 2} .0258579{col 26}{space 2} .0462994{col 37}{space 1}    0.56{col 46}{space 3}0.577{col 54}{space 4}-.0654817{col 67}{space 3} .1171974
{txt}c_tfull_b_~s {c |}{col 14}{res}{space 2} .0472751{col 26}{space 2} .0465124{col 37}{space 1}    1.02{col 46}{space 3}0.311{col 54}{space 4}-.0444846{col 67}{space 3} .1390348
{txt}c_tfull_bm~d {c |}{col 14}{res}{space 2} .0021585{col 26}{space 2}  .043788{col 37}{space 1}    0.05{col 46}{space 3}0.961{col 54}{space 4}-.0842265{col 67}{space 3} .0885434
{txt}c_tfull_bm~r {c |}{col 14}{res}{space 2} .0067829{col 26}{space 2} .0029093{col 37}{space 1}    2.33{col 46}{space 3}0.021{col 54}{space 4} .0010434{col 67}{space 3} .0125225
{txt}c_tfull_bm~x {c |}{col 14}{res}{space 2}   .03792{col 26}{space 2} .0121272{col 37}{space 1}    3.13{col 46}{space 3}0.002{col 54}{space 4} .0139956{col 67}{space 3} .0618445
{txt}c_trea~l_hc2 {c |}{col 14}{res}{space 2} .0135299{col 26}{space 2} .0484962{col 37}{space 1}    0.28{col 46}{space 3}0.781{col 54}{space 4}-.0821434{col 67}{space 3} .1092033
{txt}c_treatful.. {c |}{col 14}{res}{space 2}-.0070081{col 26}{space 2} .0528739{col 37}{space 1}   -0.13{col 46}{space 3}0.895{col 54}{space 4}-.1113176{col 67}{space 3} .0973015
{txt}c_treatful.. {c |}{col 14}{res}{space 2}-.0155851{col 26}{space 2} .0559714{col 37}{space 1}   -0.28{col 46}{space 3}0.781{col 54}{space 4}-.1260056{col 67}{space 3} .0948354
{txt}c_treatful.. {c |}{col 14}{res}{space 2} .0809809{col 26}{space 2} .0628261{col 37}{space 1}    1.29{col 46}{space 3}0.199{col 54}{space 4}-.0429624{col 67}{space 3} .2049242
{txt}c_treatful.. {c |}{col 14}{res}{space 2} .0066323{col 26}{space 2} .0039225{col 37}{space 1}    1.69{col 46}{space 3}0.093{col 54}{space 4}-.0011061{col 67}{space 3} .0143707
{txt}c_treatful.. {c |}{col 14}{res}{space 2}   .00904{col 26}{space 2} .0159631{col 37}{space 1}    0.57{col 46}{space 3}0.572{col 54}{space 4} -.022452{col 67}{space 3} .0405321
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} -.001157{col 26}{space 2} .0135036{col 37}{space 1}   -0.09{col 46}{space 3}0.932{col 54}{space 4}-.0277969{col 67}{space 3} .0254829
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull = 0{p_end}

{txt}       F(  1,   186) ={res}    4.06
{txt}{col 13}Prob > F ={res}    0.0455

{txt}added scalar:
            e(f_waldm) =  {res}.045
{txt}note: bm_commresp_z_d omitted because of collinearity
{res}
{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}     7,204
{txt}{col 49}F({res}  14{txt},{res}    186{txt}){col 67}= {res}      7.46
{txt}{col 49}Prob > F{col 67}= {res}    0.0000
{txt}{col 49}R-squared{col 67}= {res}    0.0437
{txt}{col 49}Adj R-squared{col 67}= {res}    0.0399
{txt}{col 49}Root MSE{col 67}= {res}    0.7398

{txt}{ralign 78:(Std. Err. adjusted for {res:187} clusters in hc_id)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}m_commresp_z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2} .0086499{col 26}{space 2} .0212464{col 37}{space 1}    0.41{col 46}{space 3}0.684{col 54}{space 4}-.0332651{col 67}{space 3} .0505648
{txt}bm_commres~z {c |}{col 14}{res}{space 2} .0641185{col 26}{space 2} .0126834{col 37}{space 1}    5.06{col 46}{space 3}0.000{col 54}{space 4} .0390968{col 67}{space 3} .0891403
{txt}bm_commres~d {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 1}c_tfull_hc2 {c |}{col 14}{res}{space 2} .0940711{col 26}{space 2} .0380933{col 37}{space 1}    2.47{col 46}{space 3}0.014{col 54}{space 4} .0189207{col 67}{space 3} .1692215
{txt}c_tfull_b_~l {c |}{col 14}{res}{space 2} .0531727{col 26}{space 2} .0456967{col 37}{space 1}    1.16{col 46}{space 3}0.246{col 54}{space 4}-.0369778{col 67}{space 3} .1433232
{txt}c_tfull_b_~s {c |}{col 14}{res}{space 2}-.0703234{col 26}{space 2} .0513364{col 37}{space 1}   -1.37{col 46}{space 3}0.172{col 54}{space 4}-.1715998{col 67}{space 3}  .030953
{txt}c_tfull_bm~d {c |}{col 14}{res}{space 2}-.0454487{col 26}{space 2} .0402468{col 37}{space 1}   -1.13{col 46}{space 3}0.260{col 54}{space 4}-.1248476{col 67}{space 3} .0339502
{txt}c_tfull_bm~r {c |}{col 14}{res}{space 2} .0092225{col 26}{space 2} .0036475{col 37}{space 1}    2.53{col 46}{space 3}0.012{col 54}{space 4} .0020267{col 67}{space 3} .0164184
{txt}c_tfull_bm~x {c |}{col 14}{res}{space 2} .0358946{col 26}{space 2} .0146193{col 37}{space 1}    2.46{col 46}{space 3}0.015{col 54}{space 4} .0070537{col 67}{space 3} .0647355
{txt}c_trea~l_hc2 {c |}{col 14}{res}{space 2}-.0425046{col 26}{space 2}  .052825{col 37}{space 1}   -0.80{col 46}{space 3}0.422{col 54}{space 4}-.1467178{col 67}{space 3} .0617086
{txt}c_treatful.. {c |}{col 14}{res}{space 2} -.055468{col 26}{space 2}  .058402{col 37}{space 1}   -0.95{col 46}{space 3}0.343{col 54}{space 4}-.1706835{col 67}{space 3} .0597475
{txt}c_treatful.. {c |}{col 14}{res}{space 2} .0979919{col 26}{space 2} .0596104{col 37}{space 1}    1.64{col 46}{space 3}0.102{col 54}{space 4}-.0196075{col 67}{space 3} .2155913
{txt}c_treatful.. {c |}{col 14}{res}{space 2} .1162814{col 26}{space 2} .0651905{col 37}{space 1}    1.78{col 46}{space 3}0.076{col 54}{space 4}-.0123265{col 67}{space 3} .2448892
{txt}c_treatful.. {c |}{col 14}{res}{space 2} .0042864{col 26}{space 2} .0051254{col 37}{space 1}    0.84{col 46}{space 3}0.404{col 54}{space 4}-.0058249{col 67}{space 3} .0143977
{txt}c_treatful.. {c |}{col 14}{res}{space 2} .0254058{col 26}{space 2} .0189675{col 37}{space 1}    1.34{col 46}{space 3}0.182{col 54}{space 4}-.0120132{col 67}{space 3} .0628249
{txt}{space 7}_cons {c |}{col 14}{res}{space 2}-.0054426{col 26}{space 2} .0152375{col 37}{space 1}   -0.36{col 46}{space 3}0.721{col 54}{space 4} -.035503{col 67}{space 3} .0246179
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull = 0{p_end}

{txt}       F(  1,   186) ={res}    0.17
{txt}{col 13}Prob > F ={res}    0.6844

{txt}added scalar:
            e(f_waldm) =  {res}.684
{txt}note: bm_relhhhc_z_d omitted because of collinearity
{res}
{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}     7,204
{txt}{col 49}F({res}  14{txt},{res}    186{txt}){col 67}= {res}      6.81
{txt}{col 49}Prob > F{col 67}= {res}    0.0000
{txt}{col 49}R-squared{col 67}= {res}    0.0952
{txt}{col 49}Adj R-squared{col 67}= {res}    0.0915
{txt}{col 49}Root MSE{col 67}= {res}    0.5581

{txt}{ralign 78:(Std. Err. adjusted for {res:187} clusters in hc_id)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1} m_relhhhc_z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2}-.0411712{col 26}{space 2} .0429177{col 37}{space 1}   -0.96{col 46}{space 3}0.339{col 54}{space 4}-.1258392{col 67}{space 3} .0434969
{txt}bm_relhhhc_z {c |}{col 14}{res}{space 2} .1850886{col 26}{space 2} .0308157{col 37}{space 1}    6.01{col 46}{space 3}0.000{col 54}{space 4} .1242955{col 67}{space 3} .2458817
{txt}bm_relhhhc~d {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 1}c_tfull_hc2 {c |}{col 14}{res}{space 2} .0480383{col 26}{space 2} .0705834{col 37}{space 1}    0.68{col 46}{space 3}0.497{col 54}{space 4}-.0912086{col 67}{space 3} .1872853
{txt}c_tfull_b_~l {c |}{col 14}{res}{space 2}-.1011772{col 26}{space 2}  .087734{col 37}{space 1}   -1.15{col 46}{space 3}0.250{col 54}{space 4}-.2742589{col 67}{space 3} .0719044
{txt}c_tfull_b_~s {c |}{col 14}{res}{space 2} .1655567{col 26}{space 2} .0993465{col 37}{space 1}    1.67{col 46}{space 3}0.097{col 54}{space 4}-.0304341{col 67}{space 3} .3615474
{txt}c_tfull_bm~d {c |}{col 14}{res}{space 2} .0755516{col 26}{space 2} .0359037{col 37}{space 1}    2.10{col 46}{space 3}0.037{col 54}{space 4} .0047208{col 67}{space 3} .1463824
{txt}c_tfull_bm~r {c |}{col 14}{res}{space 2}-.0012993{col 26}{space 2} .0024627{col 37}{space 1}   -0.53{col 46}{space 3}0.598{col 54}{space 4}-.0061578{col 67}{space 3} .0035592
{txt}c_tfull_bm~x {c |}{col 14}{res}{space 2} .0227487{col 26}{space 2} .0133014{col 37}{space 1}    1.71{col 46}{space 3}0.089{col 54}{space 4}-.0034923{col 67}{space 3} .0489897
{txt}c_trea~l_hc2 {c |}{col 14}{res}{space 2}  .035385{col 26}{space 2} .1010052{col 37}{space 1}    0.35{col 46}{space 3}0.726{col 54}{space 4}-.1638781{col 67}{space 3} .2346481
{txt}c_treatful.. {c |}{col 14}{res}{space 2} .2815555{col 26}{space 2}  .130793{col 37}{space 1}    2.15{col 46}{space 3}0.033{col 54}{space 4}  .023527{col 67}{space 3}  .539584
{txt}c_treatful.. {c |}{col 14}{res}{space 2}-.1227887{col 26}{space 2} .1568077{col 37}{space 1}   -0.78{col 46}{space 3}0.435{col 54}{space 4} -.432139{col 67}{space 3} .1865616
{txt}c_treatful.. {c |}{col 14}{res}{space 2}-.0219378{col 26}{space 2} .0571498{col 37}{space 1}   -0.38{col 46}{space 3}0.702{col 54}{space 4} -.134683{col 67}{space 3} .0908074
{txt}c_treatful.. {c |}{col 14}{res}{space 2} .0054646{col 26}{space 2} .0036751{col 37}{space 1}    1.49{col 46}{space 3}0.139{col 54}{space 4}-.0017856{col 67}{space 3} .0127149
{txt}c_treatful.. {c |}{col 14}{res}{space 2} .0595991{col 26}{space 2} .0215653{col 37}{space 1}    2.76{col 46}{space 3}0.006{col 54}{space 4}  .017055{col 67}{space 3} .1021431
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} .0026944{col 26}{space 2} .0258635{col 37}{space 1}    0.10{col 46}{space 3}0.917{col 54}{space 4}-.0483292{col 67}{space 3} .0537179
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull = 0{p_end}

{txt}       F(  1,   186) ={res}    0.92
{txt}{col 13}Prob > F ={res}    0.3387

{txt}added scalar:
            e(f_waldm) =  {res}.339
{txt}
{com}.                 
.         local y = 5
{txt}
{com}.         foreach x in `intermediate_hclevel' {c -(}
{txt}  2{com}.                 areg  m_`x' `var' bm_`x' bm_`x'_d `m_controls_tfull_hc' ``var'_hc_int_m_controls' if uniquehc == 1, robust a(district)
{txt}  3{com}.                 
.                 local p_`y' = (2 * ttail(e(df_r), abs(_b[`var']/_se[`var'])))
{txt}  4{com}.                 
.                 estimates store m`y'
{txt}  5{com}.                 
.                 test treatfull = 0
{txt}  6{com}.                 local f_waldm_`x' = string(`r(p)',"%9.3fc")
{txt}  7{com}.                 
.                 estadd scalar f_waldm = `f_waldm_`x''
{txt}  8{com}.                 
.                 local y = `y' + 1
{txt}  9{com}.                 {c )-}
{p 0 6 2}{txt}note: bm_h_hcpknow_z_d omitted because of collinearity{p_end}
{res}
{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}       187
{txt}{col 49}F({res}  14{txt},{res}    157{txt}){col 67}= {res}      3.52
{txt}{col 49}Prob > F{col 67}= {res}    0.0000
{txt}{col 49}R-squared{col 67}= {res}    0.4420
{txt}{col 49}Adj R-squared{col 67}= {res}    0.3389
{txt}{col 49}Root MSE{col 67}= {res}    0.6696

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}m_h_hcpkno~z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2} .0840321{col 26}{space 2} .0985424{col 37}{space 1}    0.85{col 46}{space 3}0.395{col 54}{space 4}-.1106079{col 67}{space 3}  .278672
{txt}bm_h_hcpkn~z {c |}{col 14}{res}{space 2} .1098253{col 26}{space 2} .0635266{col 37}{space 1}    1.73{col 46}{space 3}0.086{col 54}{space 4}-.0156518{col 67}{space 3} .2353023
{txt}bm_h_hcpkn~d {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
c_tf~_hc_hc2 {c |}{col 14}{res}{space 2} -.059317{col 26}{space 2} .2015914{col 37}{space 1}   -0.29{col 46}{space 3}0.769{col 54}{space 4}-.4574981{col 67}{space 3} .3388641
{txt}c_tfull_hc~l {c |}{col 14}{res}{space 2} .2788633{col 26}{space 2} .2187806{col 37}{space 1}    1.27{col 46}{space 3}0.204{col 54}{space 4}-.1532697{col 67}{space 3} .7109964
{txt}c_tfull_hc~s {c |}{col 14}{res}{space 2} .4390921{col 26}{space 2} .2516354{col 37}{space 1}    1.74{col 46}{space 3}0.083{col 54}{space 4}-.0579353{col 67}{space 3} .9361196
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2}-.1534442{col 26}{space 2} .5953136{col 37}{space 1}   -0.26{col 46}{space 3}0.797{col 54}{space 4}-1.329301{col 67}{space 3} 1.022413
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2}-.0268957{col 26}{space 2} .0767315{col 37}{space 1}   -0.35{col 46}{space 3}0.726{col 54}{space 4}-.1784548{col 67}{space 3} .1246635
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2} .4196941{col 26}{space 2} .2319607{col 37}{space 1}    1.81{col 46}{space 3}0.072{col 54}{space 4}-.0384722{col 67}{space 3} .8778604
{txt}c_treatful.. {c |}{col 14}{res}{space 2}-.0067486{col 26}{space 2} .2557839{col 37}{space 1}   -0.03{col 46}{space 3}0.979{col 54}{space 4}-.5119701{col 67}{space 3} .4984729
{txt}c_treatful.. {c |}{col 14}{res}{space 2}  .025945{col 26}{space 2} .2767911{col 37}{space 1}    0.09{col 46}{space 3}0.925{col 54}{space 4}-.5207697{col 67}{space 3} .5726597
{txt}c_treatful.. {c |}{col 14}{res}{space 2}-.6009797{col 26}{space 2} .3255884{col 37}{space 1}   -1.85{col 46}{space 3}0.067{col 54}{space 4}-1.244078{col 67}{space 3}  .042119
{txt}c_treatful.. {c |}{col 14}{res}{space 2}-1.290801{col 26}{space 2} 1.041012{col 37}{space 1}   -1.24{col 46}{space 3}0.217{col 54}{space 4}-3.346997{col 67}{space 3} .7653956
{txt}c_treatful.. {c |}{col 14}{res}{space 2}-.1250458{col 26}{space 2} .0999482{col 37}{space 1}   -1.25{col 46}{space 3}0.213{col 54}{space 4}-.3224623{col 67}{space 3} .0723707
{txt}c_treatful.. {c |}{col 14}{res}{space 2} .1470674{col 26}{space 2} .2945363{col 37}{space 1}    0.50{col 46}{space 3}0.618{col 54}{space 4}-.4346975{col 67}{space 3} .7288323
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} -.006265{col 26}{space 2} .0723245{col 37}{space 1}   -0.09{col 46}{space 3}0.931{col 54}{space 4}-.1491197{col 67}{space 3} .1365896
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull = 0{p_end}

{txt}       F(  1,   157) ={res}    0.73
{txt}{col 13}Prob > F ={res}    0.3951

{txt}added scalar:
            e(f_waldm) =  {res}.395
{p 0 6 2}{txt}note: bm_h_hctrans_z_d omitted because of collinearity{p_end}
{res}
{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}       187
{txt}{col 49}F({res}  14{txt},{res}    157{txt}){col 67}= {res}      4.13
{txt}{col 49}Prob > F{col 67}= {res}    0.0000
{txt}{col 49}R-squared{col 67}= {res}    0.3518
{txt}{col 49}Adj R-squared{col 67}= {res}    0.2320
{txt}{col 49}Root MSE{col 67}= {res}    0.4313

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}m_h_hctran~z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2}-.0898658{col 26}{space 2}  .064074{col 37}{space 1}   -1.40{col 46}{space 3}0.163{col 54}{space 4}-.2164242{col 67}{space 3} .0366925
{txt}bm_h_hctra~z {c |}{col 14}{res}{space 2} .1135095{col 26}{space 2} .0740089{col 37}{space 1}    1.53{col 46}{space 3}0.127{col 54}{space 4} -.032672{col 67}{space 3} .2596911
{txt}bm_h_hctra~d {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
c_tf~_hc_hc2 {c |}{col 14}{res}{space 2}-.4480621{col 26}{space 2} .1406269{col 37}{space 1}   -3.19{col 46}{space 3}0.002{col 54}{space 4}-.7258267{col 67}{space 3}-.1702974
{txt}c_tfull_hc~l {c |}{col 14}{res}{space 2} .2416671{col 26}{space 2} .1377871{col 37}{space 1}    1.75{col 46}{space 3}0.081{col 54}{space 4}-.0304885{col 67}{space 3} .5138228
{txt}c_tfull_hc~s {c |}{col 14}{res}{space 2}-.1780772{col 26}{space 2} .1665635{col 37}{space 1}   -1.07{col 46}{space 3}0.287{col 54}{space 4}-.5070717{col 67}{space 3} .1509172
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2} .1306381{col 26}{space 2} .3123773{col 37}{space 1}    0.42{col 46}{space 3}0.676{col 54}{space 4}-.4863662{col 67}{space 3} .7476424
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2}-.0262563{col 26}{space 2} .0511906{col 37}{space 1}   -0.51{col 46}{space 3}0.609{col 54}{space 4}-.1273674{col 67}{space 3} .0748549
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2} .2591694{col 26}{space 2} .1492061{col 37}{space 1}    1.74{col 46}{space 3}0.084{col 54}{space 4}-.0355408{col 67}{space 3} .5538796
{txt}c_treatful.. {c |}{col 14}{res}{space 2} .3217611{col 26}{space 2} .1672678{col 37}{space 1}    1.92{col 46}{space 3}0.056{col 54}{space 4}-.0086243{col 67}{space 3} .6521466
{txt}c_treatful.. {c |}{col 14}{res}{space 2}-.0600451{col 26}{space 2} .1588687{col 37}{space 1}   -0.38{col 46}{space 3}0.706{col 54}{space 4}-.3738409{col 67}{space 3} .2537506
{txt}c_treatful.. {c |}{col 14}{res}{space 2} .1422794{col 26}{space 2} .1739578{col 37}{space 1}    0.82{col 46}{space 3}0.415{col 54}{space 4}-.2013201{col 67}{space 3} .4858789
{txt}c_treatful.. {c |}{col 14}{res}{space 2}-1.050456{col 26}{space 2} .6356464{col 37}{space 1}   -1.65{col 46}{space 3}0.100{col 54}{space 4}-2.305978{col 67}{space 3} .2050662
{txt}c_treatful.. {c |}{col 14}{res}{space 2} .0148306{col 26}{space 2} .0689117{col 37}{space 1}    0.22{col 46}{space 3}0.830{col 54}{space 4} -.121283{col 67}{space 3} .1509443
{txt}c_treatful.. {c |}{col 14}{res}{space 2}-.0565351{col 26}{space 2} .1882854{col 37}{space 1}   -0.30{col 46}{space 3}0.764{col 54}{space 4}-.4284343{col 67}{space 3} .3153641
{txt}{space 7}_cons {c |}{col 14}{res}{space 2}-.0163456{col 26}{space 2} .0495107{col 37}{space 1}   -0.33{col 46}{space 3}0.742{col 54}{space 4}-.1141386{col 67}{space 3} .0814473
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull = 0{p_end}

{txt}       F(  1,   157) ={res}    1.97
{txt}{col 13}Prob > F ={res}    0.1627

{txt}added scalar:
            e(f_waldm) =  {res}.163
{txt}
{com}.         
.         * We create the adjusted p-value following the Benjamini-Hochberg methodology 
.         
.         local y = `y' - 1
{txt}
{com}.         
.         local ps `p_1'
{txt}
{com}.         forvalues x = 2/`y' {c -(}
{txt}  2{com}.                 local ps `ps' \ `p_`x''
{txt}  3{com}.                 {c )-}
{txt}
{com}. 
.         matrix mat = (`ps')
{txt}
{com}.                 
.         * We need to rank the p-value, transpose it and transfer it to local
.         
.         matsort mat 1 "up"
{txt}
{com}.         
.         mat ps_mat = mat'
{txt}
{com}.         
.         mat list ps_mat
{res}
{txt}ps_mat[1,6]
           r2         r6         r4         r5
c1 {res} .04546337  .16273104  .33865039  .39509696

{txt}           r3         r1
c1 {res} .68438618   .6931071
{reset}
{com}.         
.         local ps_rank
{txt}
{com}.         
.         forvalues z = 1/`y' {c -(}
{txt}  2{com}.                 local x = ps_mat[1,`z']
{txt}  3{com}.                 local ps_rank `ps_rank' `x'
{txt}  4{com}.                 {c )-}
{txt}
{com}.                 
.         di "`ps_rank'"
{res}.0454633659106059 .1627310429482422 .338650389490578 .3950969642333909 .6843861814853491 .6931070957956609
{txt}
{com}.         
.         * We count the number of tests (numerator)
.         
.         local num_p = `y'
{txt}
{com}.         
.         * We calculate the BH value
.         
.         local z = 0
{txt}
{com}.         foreach i of local ps_rank {c -(}
{txt}  2{com}.                 local z = `z' + 1 
{txt}  3{com}.                 local adj_p`z' = (`i' * `num_p') / `z'
{txt}  4{com}.                 {c )-}
{txt}
{com}.                 
.         * We compare it according to the rank and eventually replace it
.         
.         forvalues r = 1/`y' {c -(}
{txt}  2{com}.         local d = `y' - 1
{txt}  3{com}.         forvalues z = 1/`d' {c -(}
{txt}  4{com}.                 local v = `z' + 1
{txt}  5{com}.                         if `adj_p`z'' >= `adj_p`v'' {c -(}
{txt}  6{com}.                                 local adj_p`z' `adj_p`v''
{txt}  7{com}.                                 {c )-}
{txt}  8{com}.                         {c )-}
{txt}  9{com}.                         {c )-}
{txt}
{com}.         
.         * We store it in the estimator
.         
.         local z = 0
{txt}
{com}.         foreach i of local ps_rank {c -(}
{txt}  2{com}.                 local z = `z' + 1 
{txt}  3{com}.                 forvalues j = 1/`y' {c -(}
{txt}  4{com}.                         if `i' == `p_`j'' {c -(} 
{txt}  5{com}.                         estimates restore m`j'
{txt}  6{com}.                         estadd scalar adj_p = `adj_p`z''
{txt}  7{com}.                         {c )-}
{txt}  8{com}.                 {c )-}
{txt}  9{com}.                 {c )-}       
{txt}(results {stata estimates replay m2:m2} are active now)

added scalar:
              e(adj_p) =  {res}.2727802
{txt}(results {stata estimates replay m6:m6} are active now)

added scalar:
              e(adj_p) =  {res}.48819313
{txt}(results {stata estimates replay m4:m4} are active now)

added scalar:
              e(adj_p) =  {res}.59264545
{txt}(results {stata estimates replay m5:m5} are active now)

added scalar:
              e(adj_p) =  {res}.59264545
{txt}(results {stata estimates replay m3:m3} are active now)

added scalar:
              e(adj_p) =  {res}.6931071
{txt}(results {stata estimates replay m1:m1} are active now)

added scalar:
              e(adj_p) =  {res}.6931071
{txt}
{com}.                 
. 
.         # delimit;
{txt}delimiter now ;
{com}.                 esttab m1 m5 m2 m3 m4 m6
>         using "${c -(}tables{c )-}/TableI51.tex", b(%5.3f) se(%5.3f)
>                 title(Intermediate outcomes (midline) -- Averaged z-score indices)
>                 keep(`var' _cons)
>                 varlabels (`var' "Full treatment" _cons "Constant")     
>                 starlevels(* .10 ** .05 *** .01)                
>                 mtitles("\textbf{c -(}\begin{c -(}tabular{c )-}[c]{c -(}@{c -(}{c )-}c@{c -(}{c )-}{c )-}Citizen\\knowledge\end{c -(}tabular{c )-}{c )-}"
>                                 "\textbf{c -(}\begin{c -(}tabular{c )-}[c]{c -(}@{c -(}{c )-}c@{c -(}{c )-}{c )-}HC staff\\knowledge\end{c -(}tabular{c )-}{c )-}"
>                                 "\textbf{c -(}\begin{c -(}tabular{c )-}[c]{c -(}@{c -(}{c )-}c@{c -(}{c )-}{c )-}Efficacy\end{c -(}tabular{c )-}{c )-}"
>                                 "\textbf{c -(}\begin{c -(}tabular{c )-}[c]{c -(}@{c -(}{c )-}c@{c -(}{c )-}{c )-}Community\\responsibility\end{c -(}tabular{c )-}{c )-}"
>                                 "\textbf{c -(}\begin{c -(}tabular{c )-}[c]{c -(}@{c -(}{c )-}c@{c -(}{c )-}{c )-}Relationship\end{c -(}tabular{c )-}{c )-}"
>                                 "\textbf{c -(}\begin{c -(}tabular{c )-}[c]{c -(}@{c -(}{c )-}c@{c -(}{c )-}{c )-}HC\\transparency\end{c -(}tabular{c )-}{c )-}")
>                 stats(N r2 f_waldm adj_p, labels("N" "R$^{c -(}2{c )-}$" "P-value (Full treatment = 0)" "Adjusted p-value (FT)") fmt(%9.0fc %9.3fc)) label booktabs nonotes replace
>         
>         ;
{res}{txt}(output written to {browse  `"/Users/fredericcochinard/Dropbox/ACT_Health_JOP_replication_file/3.Tables and Figures/Tables/TableI51.tex"'})

{com}.                 # delimit cr
{txt}delimiter now cr
{com}.         
.         **********************************************************
.         * Table I52: Robustness checks – Main outcomes (midline) *
.         **********************************************************
.         
.         * At midline
.         
.         use "${c -(}usedata{c )-}/chp_el_light_dataset.dta", clear
{txt}
{com}.         
.         * In this part, we regress the outcomes over the full treatment vs control
.         
.         local indices urate_z treatqual_z treatqualalt_z patsat_z commtg_z
{txt}
{com}.         
.         local indices_hc mortrate_05 h_ctzpressure_z
{txt}
{com}.         
.         * At midline:
.         
.         **************
.         * No control *
.         **************
.         
.         eststo clear
{txt}
{com}.         
.         local var treatfull
{txt}
{com}. 
.         foreach x in `indices' {c -(}
{txt}  2{com}.                 areg  m_`x' `var' bm_`x' bm_`x'_d, robust cl(hc_id) a(district)
{txt}  3{com}.                 local n_nocon_`x' = string(`e(N)',"%9.0fc")
{txt}  4{com}.                 local b_nocon_`x' = string(_b[treatfull],"%9.3fc")
{txt}  5{com}.                 local se_nocon_`x' =string(_se[treatfull],"%9.3fc")
{txt}  6{com}.                 local p_nocon_`x' = (2 * ttail(e(df_r), abs(_b[treatfull]/_se[treatfull])))
{txt}  7{com}.                         
.                 if `p_nocon_`x'' <= 0.1 & `p_nocon_`x'' > 0.05{c -(}
{txt}  8{com}.                         local b_nocon_`x' `b_nocon_`x''*
{txt}  9{com}.                 {c )-}
{txt} 10{com}.         
.                 if `p_nocon_`x'' <= 0.05 & `p_nocon_`x'' > 0.01{c -(}
{txt} 11{com}.                         local b_nocon_`x' `b_nocon_`x''**
{txt} 12{com}.                 {c )-}
{txt} 13{com}.                 
.                 if `p_nocon_`x'' <= 0.01 & `p_nocon_`x'' > 0 {c -(}
{txt} 14{com}.                         local b_nocon_`x' `b_nocon_`x''***
{txt} 15{com}.                 {c )-}
{txt} 16{com}.                 
.                 local csb_nocon_`x' = string(_b[_cons],"%9.3fc")
{txt} 17{com}.                 local csse_nocon_`x' =string(_se[_cons],"%9.3fc")
{txt} 18{com}.                 local p_nocon_`x' = (2 * ttail(e(df_r), abs(_b[_cons]/_se[_cons])))
{txt} 19{com}.                         
.                 if `p_nocon_`x'' <= 0.1 & `p_nocon_`x'' > 0.05{c -(}
{txt} 20{com}.                         local csb_nocon_`x' `csb_nocon_`x''*
{txt} 21{com}.                 {c )-}
{txt} 22{com}.         
.                 if `p_nocon_`x'' <= 0.05 & `p_nocon_`x'' > 0.01{c -(}
{txt} 23{com}.                         local csb_nocon_`x' `csb_nocon_`x''**
{txt} 24{com}.                 {c )-}
{txt} 25{com}.                 
.                 if `p_nocon_`x'' <= 0.01 & `p_nocon_`x'' > 0 {c -(}
{txt} 26{com}.                         local csb_nocon_`x' `csb_nocon_`x''***
{txt} 27{com}.                 {c )-}
{txt} 28{com}.                 
.                 {c )-}
{txt}note: bm_urate_z_d omitted because of collinearity
{res}
{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}     7,204
{txt}{col 49}F({res}   2{txt},{res}    186{txt}){col 67}= {res}    421.18
{txt}{col 49}Prob > F{col 67}= {res}    0.0000
{txt}{col 49}R-squared{col 67}= {res}    0.2440
{txt}{col 49}Adj R-squared{col 67}= {res}    0.2422
{txt}{col 49}Root MSE{col 67}= {res}    0.6347

{txt}{ralign 78:(Std. Err. adjusted for {res:187} clusters in hc_id)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}   m_urate_z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2}-.0059535{col 26}{space 2} .0219968{col 37}{space 1}   -0.27{col 46}{space 3}0.787{col 54}{space 4}-.0493488{col 67}{space 3} .0374418
{txt}{space 2}bm_urate_z {c |}{col 14}{res}{space 2} .4331655{col 26}{space 2} .0151539{col 37}{space 1}   28.58{col 46}{space 3}0.000{col 54}{space 4} .4032699{col 67}{space 3} .4630611
{txt}bm_urate_z_d {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 7}_cons {c |}{col 14}{res}{space 2}-.0153084{col 26}{space 2} .0172065{col 37}{space 1}   -0.89{col 46}{space 3}0.375{col 54}{space 4}-.0492534{col 67}{space 3} .0186366
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)
note: bm_treatqual_z_d omitted because of collinearity
{res}
{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}     7,204
{txt}{col 49}F({res}   2{txt},{res}    186{txt}){col 67}= {res}      5.46
{txt}{col 49}Prob > F{col 67}= {res}    0.0049
{txt}{col 49}R-squared{col 67}= {res}    0.0700
{txt}{col 49}Adj R-squared{col 67}= {res}    0.0678
{txt}{col 49}Root MSE{col 67}= {res}    0.3884

{txt}{ralign 78:(Std. Err. adjusted for {res:187} clusters in hc_id)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}m_treatq~l_z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2} .0570283{col 26}{space 2} .0341731{col 37}{space 1}    1.67{col 46}{space 3}0.097{col 54}{space 4}-.0103885{col 67}{space 3}  .124445
{txt}bm_treat~l_z {c |}{col 14}{res}{space 2} .0908995{col 26}{space 2} .0335233{col 37}{space 1}    2.71{col 46}{space 3}0.007{col 54}{space 4} .0247646{col 67}{space 3} .1570343
{txt}bm_tre~l_z_d {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 7}_cons {c |}{col 14}{res}{space 2}-.0009925{col 26}{space 2} .0247075{col 37}{space 1}   -0.04{col 46}{space 3}0.968{col 54}{space 4}-.0497354{col 67}{space 3} .0477504
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)
note: bm_treatqualalt_z_d omitted because of collinearity
{res}
{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}     7,204
{txt}{col 49}F({res}   2{txt},{res}    186{txt}){col 67}= {res}     19.09
{txt}{col 49}Prob > F{col 67}= {res}    0.0000
{txt}{col 49}R-squared{col 67}= {res}    0.0279
{txt}{col 49}Adj R-squared{col 67}= {res}    0.0256
{txt}{col 49}Root MSE{col 67}= {res}    0.4976

{txt}{ralign 78:(Std. Err. adjusted for {res:187} clusters in hc_id)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}m_treatq~t_z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2} .0348335{col 26}{space 2} .0257786{col 37}{space 1}    1.35{col 46}{space 3}0.178{col 54}{space 4}-.0160224{col 67}{space 3} .0856895
{txt}bm_treat~t_z {c |}{col 14}{res}{space 2} .0948344{col 26}{space 2} .0163303{col 37}{space 1}    5.81{col 46}{space 3}0.000{col 54}{space 4} .0626179{col 67}{space 3} .1270509
{txt}bm_tre~t_z_d {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 7}_cons {c |}{col 14}{res}{space 2}-.0034857{col 26}{space 2} .0182179{col 37}{space 1}   -0.19{col 46}{space 3}0.848{col 54}{space 4} -.039426{col 67}{space 3} .0324547
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)
note: bm_patsat_z_d omitted because of collinearity
{res}
{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}     7,204
{txt}{col 49}F({res}   2{txt},{res}    186{txt}){col 67}= {res}     59.45
{txt}{col 49}Prob > F{col 67}= {res}    0.0000
{txt}{col 49}R-squared{col 67}= {res}    0.0431
{txt}{col 49}Adj R-squared{col 67}= {res}    0.0409
{txt}{col 49}Root MSE{col 67}= {res}    0.6171

{txt}{ralign 78:(Std. Err. adjusted for {res:187} clusters in hc_id)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}  m_patsat_z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2}  .034985{col 26}{space 2} .0294443{col 37}{space 1}    1.19{col 46}{space 3}0.236{col 54}{space 4}-.0231026{col 67}{space 3} .0930726
{txt}{space 1}bm_patsat_z {c |}{col 14}{res}{space 2} .1641413{col 26}{space 2}  .015075{col 37}{space 1}   10.89{col 46}{space 3}0.000{col 54}{space 4} .1344014{col 67}{space 3} .1938811
{txt}bm_pat~t_z_d {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 7}_cons {c |}{col 14}{res}{space 2} .0006794{col 26}{space 2}  .020053{col 37}{space 1}    0.03{col 46}{space 3}0.973{col 54}{space 4}-.0388811{col 67}{space 3} .0402399
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)
note: bm_commtg_z_d omitted because of collinearity
{res}
{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}     7,204
{txt}{col 49}F({res}   2{txt},{res}    186{txt}){col 67}= {res}     25.34
{txt}{col 49}Prob > F{col 67}= {res}    0.0000
{txt}{col 49}R-squared{col 67}= {res}    0.0436
{txt}{col 49}Adj R-squared{col 67}= {res}    0.0413
{txt}{col 49}Root MSE{col 67}= {res}    0.5603

{txt}{ralign 78:(Std. Err. adjusted for {res:187} clusters in hc_id)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}  m_commtg_z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2} .0179965{col 26}{space 2} .0242309{col 37}{space 1}    0.74{col 46}{space 3}0.459{col 54}{space 4}-.0298063{col 67}{space 3} .0657992
{txt}{space 1}bm_commtg_z {c |}{col 14}{res}{space 2} .0814475{col 26}{space 2} .0115979{col 37}{space 1}    7.02{col 46}{space 3}0.000{col 54}{space 4}  .058567{col 67}{space 3} .1043279
{txt}bm_commt~z_d {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 7}_cons {c |}{col 14}{res}{space 2}-.0009938{col 26}{space 2} .0181311{col 37}{space 1}   -0.05{col 46}{space 3}0.956{col 54}{space 4}-.0367629{col 67}{space 3} .0347754
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{com}.                 
.         * We do it for hc level variable
.         
.         foreach x in `indices_hc' {c -(}
{txt}  2{com}.                 areg  m_`x' `var' bm_`x' if uniquehc == 1, robust a(district)
{txt}  3{com}.                 local n_nocon_`x' = string(`e(N)',"%9.0fc")
{txt}  4{com}.                 local b_nocon_`x' = string(_b[treatfull],"%9.3fc")
{txt}  5{com}.                 local se_nocon_`x' =string(_se[treatfull],"%9.3fc")
{txt}  6{com}.                 local p_nocon_`x' = (2 * ttail(e(df_r), abs(_b[treatfull]/_se[treatfull])))
{txt}  7{com}.                         
.                 if `p_nocon_`x'' <= 0.1 & `p_nocon_`x'' > 0.05{c -(}
{txt}  8{com}.                         local b_nocon_`x' `b_nocon_`x''*
{txt}  9{com}.                 {c )-}
{txt} 10{com}.         
.                 if `p_nocon_`x'' <= 0.05 & `p_nocon_`x'' > 0.01{c -(}
{txt} 11{com}.                         local b_nocon_`x' `b_nocon_`x''**
{txt} 12{com}.                 {c )-}
{txt} 13{com}.                 
.                 if `p_nocon_`x'' <= 0.01 & `p_nocon_`x'' > 0 {c -(}
{txt} 14{com}.                         local b_nocon_`x' `b_nocon_`x''***
{txt} 15{com}.                 {c )-}
{txt} 16{com}.                 
.                 local csb_nocon_`x' = string(_b[_cons],"%9.3fc")
{txt} 17{com}.                 local csse_nocon_`x' =string(_se[_cons],"%9.3fc")
{txt} 18{com}.                 local p_nocon_`x' = (2 * ttail(e(df_r), abs(_b[_cons]/_se[_cons])))
{txt} 19{com}.                         
.                 if `p_nocon_`x'' <= 0.1 & `p_nocon_`x'' > 0.05{c -(}
{txt} 20{com}.                         local csb_nocon_`x' `csb_nocon_`x''*
{txt} 21{com}.                 {c )-}
{txt} 22{com}.         
.                 if `p_nocon_`x'' <= 0.05 & `p_nocon_`x'' > 0.01{c -(}
{txt} 23{com}.                         local csb_nocon_`x' `csb_nocon_`x''**
{txt} 24{com}.                 {c )-}
{txt} 25{com}.                 
.                 if `p_nocon_`x'' <= 0.01 & `p_nocon_`x'' > 0 {c -(}
{txt} 26{com}.                         local csb_nocon_`x' `csb_nocon_`x''***
{txt} 27{com}.                 {c )-}
{txt} 28{com}.                 
.                 {c )-}
{res}
{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}       187
{txt}{col 49}F({res}   2{txt},{res}    169{txt}){col 67}= {res}      0.85
{txt}{col 49}Prob > F{col 67}= {res}    0.4285
{txt}{col 49}R-squared{col 67}= {res}    0.1313
{txt}{col 49}Adj R-squared{col 67}= {res}    0.0439
{txt}{col 49}Root MSE{col 67}= {res}    0.0670

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}m_mortrat~05{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2}-.0130263{col 26}{space 2} .0099818{col 37}{space 1}   -1.31{col 46}{space 3}0.194{col 54}{space 4}-.0327313{col 67}{space 3} .0066786
{txt}bm_mortra~05 {c |}{col 14}{res}{space 2} .0280298{col 26}{space 2} .0761239{col 37}{space 1}    0.37{col 46}{space 3}0.713{col 54}{space 4}-.1222465{col 67}{space 3}  .178306
{txt}{space 7}_cons {c |}{col 14}{res}{space 2}  .054939{col 26}{space 2} .0075159{col 37}{space 1}    7.31{col 46}{space 3}0.000{col 54}{space 4} .0401019{col 67}{space 3} .0697762
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)
{res}
{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}       187
{txt}{col 49}F({res}   2{txt},{res}    169{txt}){col 67}= {res}      0.77
{txt}{col 49}Prob > F{col 67}= {res}    0.4624
{txt}{col 49}R-squared{col 67}= {res}    0.0784
{txt}{col 49}Adj R-squared{col 67}= {res}   -0.0143
{txt}{col 49}Root MSE{col 67}= {res}    0.8716

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}m_h_ctzpre~z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2}-.1434738{col 26}{space 2} .1281551{col 37}{space 1}   -1.12{col 46}{space 3}0.265{col 54}{space 4}-.3964649{col 67}{space 3} .1095173
{txt}bm_h_ctzpr~z {c |}{col 14}{res}{space 2}-.0400526{col 26}{space 2} .1038728{col 37}{space 1}   -0.39{col 46}{space 3}0.700{col 54}{space 4}-.2451079{col 67}{space 3} .1650027
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} .0008675{col 26}{space 2} .0828966{col 37}{space 1}    0.01{col 46}{space 3}0.992{col 54}{space 4}-.1627788{col 67}{space 3} .1645139
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{com}.         
.         *********
.         * No FE *
.         *********
.         
.         * We define the control variable
.         
.         local  m_controls_noprefix hc2 b_h_del b_h_staff_houses bm_visited_d bm_educyr bm_assetindex
{txt}
{com}.                 
.         foreach x in m_ {c -(}
{txt}  2{com}.         
.                 local `x'controls_tfull
{txt}  3{com}.                 local `x'controls_tfull_hc
{txt}  4{com}.                 
.                 {c )-}
{txt}
{com}.                 
.         foreach x in m_ {c -(}
{txt}  2{com}.                 foreach var in treatfull {c -(}
{txt}  3{com}.                         local `var'_int_`x'controls
{txt}  4{com}.                         local `var'_hc_int_`x'controls
{txt}  5{com}.                         {c )-}
{txt}  6{com}.                 {c )-}
{txt}
{com}.                 
.         * We populate the control variable we just created
.                 
.         foreach var of local m_controls_noprefix {c -(}
{txt}  2{com}.                 local m_controls_tfull `m_controls_tfull' c_tfull_`var'
{txt}  3{com}.                 local m_controls_tfull_hc `m_controls_tfull_hc' c_tfull_hc_`var'
{txt}  4{com}.                 {c )-}       
{txt}
{com}.                                 
.         foreach treat in treatfull {c -(}
{txt}  2{com}.                 foreach var of local m_controls_noprefix {c -(}
{txt}  3{com}.                         local `treat'_int_m_controls ``treat'_int_m_controls' c_`treat'_`var'
{txt}  4{com}.                         local `treat'_hc_int_m_controls ``treat'_hc_int_m_controls' c_`treat'_hc_`var'
{txt}  5{com}.                         {c )-}
{txt}  6{com}.                 {c )-}
{txt}
{com}.         
.         
.         eststo clear
{txt}
{com}.         
.         local var treatfull
{txt}
{com}.         
.         foreach x in `indices' {c -(}
{txt}  2{com}.                 reg  m_`x' `var' bm_`x' bm_`x'_d `m_controls_tfull' ``var'_int_m_controls', cl(hc_id) robust
{txt}  3{com}.                 local n_nofe_`x' = string(`e(N)',"%9.0fc")
{txt}  4{com}.                 local b_nofe_`x' = string(_b[treatfull],"%9.3fc")
{txt}  5{com}.                 local se_nofe_`x' =string(_se[treatfull],"%9.3fc")
{txt}  6{com}.                 local p_nofe_`x' = (2 * ttail(e(df_r), abs(_b[treatfull]/_se[treatfull])))
{txt}  7{com}.                         
.                 if `p_nofe_`x'' <= 0.1 & `p_nofe_`x'' > 0.05{c -(}
{txt}  8{com}.                         local b_nofe_`x' `b_nofe_`x''*
{txt}  9{com}.                 {c )-}
{txt} 10{com}.         
.                 if `p_nofe_`x'' <= 0.05 & `p_nofe_`x'' > 0.01{c -(}
{txt} 11{com}.                         local b_nofe_`x' `b_nofe_`x''**
{txt} 12{com}.                 {c )-}
{txt} 13{com}.                 
.                 if `p_nofe_`x'' <= 0.01 & `p_nofe_`x'' > 0 {c -(}
{txt} 14{com}.                         local b_nofe_`x' `b_nofe_`x''***
{txt} 15{com}.                 {c )-}
{txt} 16{com}.                 
.                 local csb_nofe_`x' = string(_b[_cons],"%9.3fc")
{txt} 17{com}.                 local csse_nofe_`x' =string(_se[_cons],"%9.3fc")
{txt} 18{com}.                 local p_nofe_`x' = (2 * ttail(e(df_r), abs(_b[_cons]/_se[_cons])))
{txt} 19{com}.                         
.                 if `p_nofe_`x'' <= 0.1 & `p_nofe_`x'' > 0.05{c -(}
{txt} 20{com}.                         local csb_nofe_`x' `csb_nofe_`x''*
{txt} 21{com}.                 {c )-}
{txt} 22{com}.         
.                 if `p_nofe_`x'' <= 0.05 & `p_nofe_`x'' > 0.01{c -(}
{txt} 23{com}.                         local csb_nofe_`x' `csb_nofe_`x''**
{txt} 24{com}.                 {c )-}
{txt} 25{com}.                 
.                 if `p_nofe_`x'' <= 0.01 & `p_nofe_`x'' > 0 {c -(}
{txt} 26{com}.                         local csb_nofe_`x' `csb_nofe_`x''***
{txt} 27{com}.                 {c )-}
{txt} 28{com}.                 
.                 {c )-}
{txt}note: bm_urate_z_d omitted because of collinearity

Linear regression                               Number of obs     = {res}     7,204
                                                {txt}F(14, 186)        =  {res}    96.41
                                                {txt}Prob > F          = {res}    0.0000
                                                {txt}R-squared         = {res}    0.2300
                                                {txt}Root MSE          =    {res} .64043

{txt}{ralign 78:(Std. Err. adjusted for {res:187} clusters in hc_id)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}   m_urate_z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2}-.0177859{col 26}{space 2} .0257561{col 37}{space 1}   -0.69{col 46}{space 3}0.491{col 54}{space 4}-.0685975{col 67}{space 3} .0330257
{txt}{space 2}bm_urate_z {c |}{col 14}{res}{space 2} .4379658{col 26}{space 2} .0143641{col 37}{space 1}   30.49{col 46}{space 3}0.000{col 54}{space 4} .4096283{col 67}{space 3} .4663033
{txt}bm_urate_z_d {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 1}c_tfull_hc2 {c |}{col 14}{res}{space 2} .0432399{col 26}{space 2} .0412083{col 37}{space 1}    1.05{col 46}{space 3}0.295{col 54}{space 4}-.0380558{col 67}{space 3} .1245357
{txt}c_tfull_b_~l {c |}{col 14}{res}{space 2}-.0260834{col 26}{space 2} .0529093{col 37}{space 1}   -0.49{col 46}{space 3}0.623{col 54}{space 4} -.130463{col 67}{space 3} .0782961
{txt}c_tfull_b_~s {c |}{col 14}{res}{space 2} .1225362{col 26}{space 2} .0566692{col 37}{space 1}    2.16{col 46}{space 3}0.032{col 54}{space 4} .0107392{col 67}{space 3} .2343332
{txt}c_tfull_bm~d {c |}{col 14}{res}{space 2} .2145523{col 26}{space 2} .0564909{col 37}{space 1}    3.80{col 46}{space 3}0.000{col 54}{space 4}  .103107{col 67}{space 3} .3259975
{txt}c_tfull_bm~r {c |}{col 14}{res}{space 2}-.0111796{col 26}{space 2} .0028532{col 37}{space 1}   -3.92{col 46}{space 3}0.000{col 54}{space 4}-.0168085{col 67}{space 3}-.0055507
{txt}c_tfull_bm~x {c |}{col 14}{res}{space 2}-.0637019{col 26}{space 2} .0139693{col 37}{space 1}   -4.56{col 46}{space 3}0.000{col 54}{space 4}-.0912605{col 67}{space 3}-.0361434
{txt}c_trea~l_hc2 {c |}{col 14}{res}{space 2}-.0423484{col 26}{space 2} .0564599{col 37}{space 1}   -0.75{col 46}{space 3}0.454{col 54}{space 4}-.1537324{col 67}{space 3} .0690357
{txt}c_treatful.. {c |}{col 14}{res}{space 2} .0665572{col 26}{space 2} .0728236{col 37}{space 1}    0.91{col 46}{space 3}0.362{col 54}{space 4}-.0771092{col 67}{space 3} .2102237
{txt}c_treatful.. {c |}{col 14}{res}{space 2} -.136038{col 26}{space 2} .0843466{col 37}{space 1}   -1.61{col 46}{space 3}0.108{col 54}{space 4}-.3024371{col 67}{space 3}  .030361
{txt}c_treatful.. {c |}{col 14}{res}{space 2} -.118011{col 26}{space 2}  .076385{col 37}{space 1}   -1.54{col 46}{space 3}0.124{col 54}{space 4}-.2687034{col 67}{space 3} .0326814
{txt}c_treatful.. {c |}{col 14}{res}{space 2} .0072702{col 26}{space 2} .0040467{col 37}{space 1}    1.80{col 46}{space 3}0.074{col 54}{space 4}-.0007132{col 67}{space 3} .0152536
{txt}c_treatful.. {c |}{col 14}{res}{space 2}-.0008249{col 26}{space 2} .0186541{col 37}{space 1}   -0.04{col 46}{space 3}0.965{col 54}{space 4}-.0376258{col 67}{space 3} .0359759
{txt}{space 7}_cons {c |}{col 14}{res}{space 2}-.0085174{col 26}{space 2} .0183438{col 37}{space 1}   -0.46{col 46}{space 3}0.643{col 54}{space 4}-.0447061{col 67}{space 3} .0276713
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}note: bm_treatqual_z_d omitted because of collinearity

Linear regression                               Number of obs     = {res}     7,204
                                                {txt}F(14, 186)        =  {res}     2.88
                                                {txt}Prob > F          = {res}    0.0006
                                                {txt}R-squared         = {res}    0.0414
                                                {txt}Root MSE          =    {res} .39424

{txt}{ralign 78:(Std. Err. adjusted for {res:187} clusters in hc_id)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}m_treatq~l_z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2} .0616869{col 26}{space 2} .0351522{col 37}{space 1}    1.75{col 46}{space 3}0.081{col 54}{space 4}-.0076613{col 67}{space 3} .1310351
{txt}bm_treat~l_z {c |}{col 14}{res}{space 2} .0670404{col 26}{space 2} .0339315{col 37}{space 1}    1.98{col 46}{space 3}0.050{col 54}{space 4} .0001003{col 67}{space 3} .1339805
{txt}bm_tre~l_z_d {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 1}c_tfull_hc2 {c |}{col 14}{res}{space 2}-.0655302{col 26}{space 2} .0587799{col 37}{space 1}   -1.11{col 46}{space 3}0.266{col 54}{space 4}-.1814912{col 67}{space 3} .0504308
{txt}c_tfull_b_~l {c |}{col 14}{res}{space 2} .0997579{col 26}{space 2} .0674392{col 37}{space 1}    1.48{col 46}{space 3}0.141{col 54}{space 4}-.0332861{col 67}{space 3}  .232802
{txt}c_tfull_b_~s {c |}{col 14}{res}{space 2} .0040474{col 26}{space 2} .0778794{col 37}{space 1}    0.05{col 46}{space 3}0.959{col 54}{space 4}-.1495931{col 67}{space 3} .1576879
{txt}c_tfull_bm~d {c |}{col 14}{res}{space 2} .0511077{col 26}{space 2} .0434993{col 37}{space 1}    1.17{col 46}{space 3}0.242{col 54}{space 4}-.0347078{col 67}{space 3} .1369231
{txt}c_tfull_bm~r {c |}{col 14}{res}{space 2}-.0039148{col 26}{space 2} .0023254{col 37}{space 1}   -1.68{col 46}{space 3}0.094{col 54}{space 4}-.0085023{col 67}{space 3} .0006727
{txt}c_tfull_bm~x {c |}{col 14}{res}{space 2}-.0223373{col 26}{space 2} .0122559{col 37}{space 1}   -1.82{col 46}{space 3}0.070{col 54}{space 4}-.0465157{col 67}{space 3} .0018412
{txt}c_trea~l_hc2 {c |}{col 14}{res}{space 2} .0230115{col 26}{space 2} .0809151{col 37}{space 1}    0.28{col 46}{space 3}0.776{col 54}{space 4}-.1366179{col 67}{space 3} .1826408
{txt}c_treatful.. {c |}{col 14}{res}{space 2}-.0103206{col 26}{space 2} .0916605{col 37}{space 1}   -0.11{col 46}{space 3}0.910{col 54}{space 4}-.1911483{col 67}{space 3} .1705072
{txt}c_treatful.. {c |}{col 14}{res}{space 2} .0051543{col 26}{space 2} .1032871{col 37}{space 1}    0.05{col 46}{space 3}0.960{col 54}{space 4}-.1986105{col 67}{space 3}  .208919
{txt}c_treatful.. {c |}{col 14}{res}{space 2}-.0439706{col 26}{space 2} .0523127{col 37}{space 1}   -0.84{col 46}{space 3}0.402{col 54}{space 4}-.1471732{col 67}{space 3}  .059232
{txt}c_treatful.. {c |}{col 14}{res}{space 2} .0062545{col 26}{space 2} .0029621{col 37}{space 1}    2.11{col 46}{space 3}0.036{col 54}{space 4} .0004109{col 67}{space 3} .0120982
{txt}c_treatful.. {c |}{col 14}{res}{space 2} .0060444{col 26}{space 2} .0173878{col 37}{space 1}    0.35{col 46}{space 3}0.729{col 54}{space 4}-.0282583{col 67}{space 3}  .040347
{txt}{space 7}_cons {c |}{col 14}{res}{space 2}-.0025301{col 26}{space 2} .0249351{col 37}{space 1}   -0.10{col 46}{space 3}0.919{col 54}{space 4}-.0517221{col 67}{space 3} .0466619
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}note: bm_treatqualalt_z_d omitted because of collinearity

Linear regression                               Number of obs     = {res}     7,204
                                                {txt}F(14, 186)        =  {res}     5.85
                                                {txt}Prob > F          = {res}    0.0000
                                                {txt}R-squared         = {res}    0.0187
                                                {txt}Root MSE          =    {res} .49988

{txt}{ralign 78:(Std. Err. adjusted for {res:187} clusters in hc_id)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}m_treatq~t_z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2} .0302151{col 26}{space 2} .0261375{col 37}{space 1}    1.16{col 46}{space 3}0.249{col 54}{space 4}-.0213488{col 67}{space 3} .0817791
{txt}bm_treat~t_z {c |}{col 14}{res}{space 2} .0889835{col 26}{space 2} .0167152{col 37}{space 1}    5.32{col 46}{space 3}0.000{col 54}{space 4} .0560078{col 67}{space 3} .1219593
{txt}bm_tre~t_z_d {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 1}c_tfull_hc2 {c |}{col 14}{res}{space 2}-.0441038{col 26}{space 2}  .045842{col 37}{space 1}   -0.96{col 46}{space 3}0.337{col 54}{space 4}-.1345409{col 67}{space 3} .0463333
{txt}c_tfull_b_~l {c |}{col 14}{res}{space 2} .0353139{col 26}{space 2} .0512666{col 37}{space 1}    0.69{col 46}{space 3}0.492{col 54}{space 4}-.0658248{col 67}{space 3} .1364525
{txt}c_tfull_b_~s {c |}{col 14}{res}{space 2}  .032349{col 26}{space 2}  .062058{col 37}{space 1}    0.52{col 46}{space 3}0.603{col 54}{space 4}-.0900791{col 67}{space 3}  .154777
{txt}c_tfull_bm~d {c |}{col 14}{res}{space 2}  .050337{col 26}{space 2} .0349139{col 37}{space 1}    1.44{col 46}{space 3}0.151{col 54}{space 4}-.0185412{col 67}{space 3} .1192152
{txt}c_tfull_bm~r {c |}{col 14}{res}{space 2}-.0011641{col 26}{space 2} .0025163{col 37}{space 1}   -0.46{col 46}{space 3}0.644{col 54}{space 4}-.0061282{col 67}{space 3} .0037999
{txt}c_tfull_bm~x {c |}{col 14}{res}{space 2}-.0224159{col 26}{space 2} .0115964{col 37}{space 1}   -1.93{col 46}{space 3}0.055{col 54}{space 4}-.0452932{col 67}{space 3} .0004614
{txt}c_trea~l_hc2 {c |}{col 14}{res}{space 2}-.0118307{col 26}{space 2} .0627604{col 37}{space 1}   -0.19{col 46}{space 3}0.851{col 54}{space 4}-.1356443{col 67}{space 3}  .111983
{txt}c_treatful.. {c |}{col 14}{res}{space 2} .0122562{col 26}{space 2} .0681513{col 37}{space 1}    0.18{col 46}{space 3}0.857{col 54}{space 4}-.1221928{col 67}{space 3} .1467051
{txt}c_treatful.. {c |}{col 14}{res}{space 2}-.0175894{col 26}{space 2} .0777633{col 37}{space 1}   -0.23{col 46}{space 3}0.821{col 54}{space 4}-.1710008{col 67}{space 3}  .135822
{txt}c_treatful.. {c |}{col 14}{res}{space 2}-.0105088{col 26}{space 2} .0427105{col 37}{space 1}   -0.25{col 46}{space 3}0.806{col 54}{space 4}-.0947681{col 67}{space 3} .0737504
{txt}c_treatful.. {c |}{col 14}{res}{space 2} .0013611{col 26}{space 2} .0033157{col 37}{space 1}    0.41{col 46}{space 3}0.682{col 54}{space 4}-.0051801{col 67}{space 3} .0079024
{txt}c_treatful.. {c |}{col 14}{res}{space 2} .0133894{col 26}{space 2} .0156511{col 37}{space 1}    0.86{col 46}{space 3}0.393{col 54}{space 4}-.0174871{col 67}{space 3} .0442659
{txt}{space 7}_cons {c |}{col 14}{res}{space 2}-.0006628{col 26}{space 2} .0193494{col 37}{space 1}   -0.03{col 46}{space 3}0.973{col 54}{space 4}-.0388352{col 67}{space 3} .0375097
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}note: bm_patsat_z_d omitted because of collinearity

Linear regression                               Number of obs     = {res}     7,204
                                                {txt}F(14, 186)        =  {res}    14.19
                                                {txt}Prob > F          = {res}    0.0000
                                                {txt}R-squared         = {res}    0.0394
                                                {txt}Root MSE          =    {res} .61816

{txt}{ralign 78:(Std. Err. adjusted for {res:187} clusters in hc_id)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}  m_patsat_z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2} .0375699{col 26}{space 2} .0298739{col 37}{space 1}    1.26{col 46}{space 3}0.210{col 54}{space 4}-.0213653{col 67}{space 3}  .096505
{txt}{space 1}bm_patsat_z {c |}{col 14}{res}{space 2} .1697883{col 26}{space 2} .0149108{col 37}{space 1}   11.39{col 46}{space 3}0.000{col 54}{space 4} .1403723{col 67}{space 3} .1992042
{txt}bm_pat~t_z_d {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 1}c_tfull_hc2 {c |}{col 14}{res}{space 2}-.0310568{col 26}{space 2} .0529968{col 37}{space 1}   -0.59{col 46}{space 3}0.559{col 54}{space 4}-.1356089{col 67}{space 3} .0734952
{txt}c_tfull_b_~l {c |}{col 14}{res}{space 2}  .048081{col 26}{space 2} .0582951{col 37}{space 1}    0.82{col 46}{space 3}0.411{col 54}{space 4}-.0669236{col 67}{space 3} .1630857
{txt}c_tfull_b_~s {c |}{col 14}{res}{space 2} .0161909{col 26}{space 2}  .062624{col 37}{space 1}    0.26{col 46}{space 3}0.796{col 54}{space 4}-.1073538{col 67}{space 3} .1397355
{txt}c_tfull_bm~d {c |}{col 14}{res}{space 2} .0074747{col 26}{space 2} .0314832{col 37}{space 1}    0.24{col 46}{space 3}0.813{col 54}{space 4}-.0546353{col 67}{space 3} .0695848
{txt}c_tfull_bm~r {c |}{col 14}{res}{space 2}-.0004122{col 26}{space 2} .0024809{col 37}{space 1}   -0.17{col 46}{space 3}0.868{col 54}{space 4}-.0053066{col 67}{space 3} .0044822
{txt}c_tfull_bm~x {c |}{col 14}{res}{space 2} .0063787{col 26}{space 2}  .010808{col 37}{space 1}    0.59{col 46}{space 3}0.556{col 54}{space 4}-.0149434{col 67}{space 3} .0277007
{txt}c_trea~l_hc2 {c |}{col 14}{res}{space 2}-.0126993{col 26}{space 2}  .072869{col 37}{space 1}   -0.17{col 46}{space 3}0.862{col 54}{space 4}-.1564553{col 67}{space 3} .1310567
{txt}c_treatful.. {c |}{col 14}{res}{space 2}-.0548576{col 26}{space 2} .0792116{col 37}{space 1}   -0.69{col 46}{space 3}0.489{col 54}{space 4}-.2111262{col 67}{space 3}  .101411
{txt}c_treatful.. {c |}{col 14}{res}{space 2}-.0988125{col 26}{space 2} .0806544{col 37}{space 1}   -1.23{col 46}{space 3}0.222{col 54}{space 4}-.2579275{col 67}{space 3} .0603024
{txt}c_treatful.. {c |}{col 14}{res}{space 2} .1006929{col 26}{space 2} .0506238{col 37}{space 1}    1.99{col 46}{space 3}0.048{col 54}{space 4} .0008222{col 67}{space 3} .2005636
{txt}c_treatful.. {c |}{col 14}{res}{space 2} .0033417{col 26}{space 2} .0035592{col 37}{space 1}    0.94{col 46}{space 3}0.349{col 54}{space 4}-.0036798{col 67}{space 3} .0103632
{txt}c_treatful.. {c |}{col 14}{res}{space 2} .0188419{col 26}{space 2} .0160939{col 37}{space 1}    1.17{col 46}{space 3}0.243{col 54}{space 4} -.012908{col 67}{space 3} .0505919
{txt}{space 7}_cons {c |}{col 14}{res}{space 2}-.0007317{col 26}{space 2} .0206225{col 37}{space 1}   -0.04{col 46}{space 3}0.972{col 54}{space 4}-.0414158{col 67}{space 3} .0399524
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}note: bm_commtg_z_d omitted because of collinearity

Linear regression                               Number of obs     = {res}     7,204
                                                {txt}F(14, 186)        =  {res}     9.37
                                                {txt}Prob > F          = {res}    0.0000
                                                {txt}R-squared         = {res}    0.0236
                                                {txt}Root MSE          =    {res} .56597

{txt}{ralign 78:(Std. Err. adjusted for {res:187} clusters in hc_id)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}  m_commtg_z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2}  .013219{col 26}{space 2} .0274036{col 37}{space 1}    0.48{col 46}{space 3}0.630{col 54}{space 4}-.0408428{col 67}{space 3} .0672808
{txt}{space 1}bm_commtg_z {c |}{col 14}{res}{space 2}  .094973{col 26}{space 2} .0118035{col 37}{space 1}    8.05{col 46}{space 3}0.000{col 54}{space 4} .0716871{col 67}{space 3}  .118259
{txt}bm_commt~z_d {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 1}c_tfull_hc2 {c |}{col 14}{res}{space 2} .0503408{col 26}{space 2} .0510277{col 37}{space 1}    0.99{col 46}{space 3}0.325{col 54}{space 4}-.0503267{col 67}{space 3} .1510082
{txt}c_tfull_b_~l {c |}{col 14}{res}{space 2}  -.05109{col 26}{space 2} .0561642{col 37}{space 1}   -0.91{col 46}{space 3}0.364{col 54}{space 4}-.1618908{col 67}{space 3} .0597107
{txt}c_tfull_b_~s {c |}{col 14}{res}{space 2} .0944003{col 26}{space 2} .0660022{col 37}{space 1}    1.43{col 46}{space 3}0.154{col 54}{space 4}-.0358089{col 67}{space 3} .2246095
{txt}c_tfull_bm~d {c |}{col 14}{res}{space 2} .1340644{col 26}{space 2} .0390732{col 37}{space 1}    3.43{col 46}{space 3}0.001{col 54}{space 4} .0569808{col 67}{space 3} .2111481
{txt}c_tfull_bm~r {c |}{col 14}{res}{space 2} .0015614{col 26}{space 2} .0026001{col 37}{space 1}    0.60{col 46}{space 3}0.549{col 54}{space 4}-.0035681{col 67}{space 3} .0066909
{txt}c_tfull_bm~x {c |}{col 14}{res}{space 2} .0051489{col 26}{space 2} .0151416{col 37}{space 1}    0.34{col 46}{space 3}0.734{col 54}{space 4}-.0247225{col 67}{space 3} .0350203
{txt}c_trea~l_hc2 {c |}{col 14}{res}{space 2} .0339769{col 26}{space 2} .0653112{col 37}{space 1}    0.52{col 46}{space 3}0.604{col 54}{space 4} -.094869{col 67}{space 3} .1628229
{txt}c_treatful.. {c |}{col 14}{res}{space 2}  .132699{col 26}{space 2} .0709778{col 37}{space 1}    1.87{col 46}{space 3}0.063{col 54}{space 4}-.0073259{col 67}{space 3}  .272724
{txt}c_treatful.. {c |}{col 14}{res}{space 2}-.1194888{col 26}{space 2} .0849572{col 37}{space 1}   -1.41{col 46}{space 3}0.161{col 54}{space 4}-.2870924{col 67}{space 3} .0481148
{txt}c_treatful.. {c |}{col 14}{res}{space 2} .0173855{col 26}{space 2} .0530988{col 37}{space 1}    0.33{col 46}{space 3}0.744{col 54}{space 4}-.0873679{col 67}{space 3} .1221388
{txt}c_treatful.. {c |}{col 14}{res}{space 2} .0007576{col 26}{space 2} .0038941{col 37}{space 1}    0.19{col 46}{space 3}0.846{col 54}{space 4}-.0069246{col 67}{space 3} .0084399
{txt}c_treatful.. {c |}{col 14}{res}{space 2} .0083689{col 26}{space 2} .0181475{col 37}{space 1}    0.46{col 46}{space 3}0.645{col 54}{space 4}-.0274325{col 67}{space 3} .0441703
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} .0011245{col 26}{space 2} .0210818{col 37}{space 1}    0.05{col 46}{space 3}0.958{col 54}{space 4}-.0404656{col 67}{space 3} .0427146
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}.                 
.         * We include the hc level child mortality
.         
.         foreach x in `indices_hc' {c -(}
{txt}  2{com}.                 reg  m_`x' `var' bm_`x' `m_controls_tfull_hc' ``var'_hc_int_m_controls' if uniquehc == 1, robust
{txt}  3{com}.                 local n_nofe_`x' = string(`e(N)',"%9.0fc")
{txt}  4{com}.                 local b_nofe_`x' = string(_b[treatfull],"%9.3fc")
{txt}  5{com}.                 local se_nofe_`x' =string(_se[treatfull],"%9.3fc")
{txt}  6{com}.                 local p_nofe_`x' = (2 * ttail(e(df_r), abs(_b[treatfull]/_se[treatfull])))
{txt}  7{com}.                         
.                 if `p_nofe_`x'' <= 0.1 & `p_nofe_`x'' > 0.05{c -(}
{txt}  8{com}.                         local b_nofe_`x' `b_nofe_`x''*
{txt}  9{com}.                 {c )-}
{txt} 10{com}.         
.                 if `p_nofe_`x'' <= 0.05 & `p_nofe_`x'' > 0.01{c -(}
{txt} 11{com}.                         local b_nofe_`x' `b_nofe_`x''**
{txt} 12{com}.                 {c )-}
{txt} 13{com}.                 
.                 if `p_nofe_`x'' <= 0.01 & `p_nofe_`x'' > 0 {c -(}
{txt} 14{com}.                         local b_nofe_`x' `b_nofe_`x''***
{txt} 15{com}.                 {c )-}
{txt} 16{com}.                 
.                 local csb_nofe_`x' = string(_b[_cons],"%9.3fc")
{txt} 17{com}.                 local csse_nofe_`x' =string(_se[_cons],"%9.3fc")
{txt} 18{com}.                 local p_nofe_`x' = (2 * ttail(e(df_r), abs(_b[_cons]/_se[_cons])))
{txt} 19{com}.                         
.                 if `p_nofe_`x'' <= 0.1 & `p_nofe_`x'' > 0.05{c -(}
{txt} 20{com}.                         local csb_nofe_`x' `csb_nofe_`x''*
{txt} 21{com}.                 {c )-}
{txt} 22{com}.         
.                 if `p_nofe_`x'' <= 0.05 & `p_nofe_`x'' > 0.01{c -(}
{txt} 23{com}.                         local csb_nofe_`x' `csb_nofe_`x''**
{txt} 24{com}.                 {c )-}
{txt} 25{com}.                 
.                 if `p_nofe_`x'' <= 0.01 & `p_nofe_`x'' > 0 {c -(}
{txt} 26{com}.                         local csb_nofe_`x' `csb_nofe_`x''***
{txt} 27{com}.                 {c )-}
{txt} 28{com}.                 
.                 {c )-}

{txt}Linear regression                               Number of obs     = {res}       187
                                                {txt}F(14, 172)        =  {res}     1.66
                                                {txt}Prob > F          = {res}    0.0688
                                                {txt}R-squared         = {res}    0.1039
                                                {txt}Root MSE          =    {res} .06743

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}m_mortrat~05{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2}-.0120858{col 26}{space 2} .0101455{col 37}{space 1}   -1.19{col 46}{space 3}0.235{col 54}{space 4}-.0321116{col 67}{space 3} .0079399
{txt}bm_mortra~05 {c |}{col 14}{res}{space 2} .0142073{col 26}{space 2}  .071324{col 37}{space 1}    0.20{col 46}{space 3}0.842{col 54}{space 4}-.1265757{col 67}{space 3} .1549902
{txt}c_tf~_hc_hc2 {c |}{col 14}{res}{space 2}  .012044{col 26}{space 2} .0203858{col 37}{space 1}    0.59{col 46}{space 3}0.555{col 54}{space 4}-.0281946{col 67}{space 3} .0522826
{txt}c_tfull_hc~l {c |}{col 14}{res}{space 2}-.0139187{col 26}{space 2} .0251482{col 37}{space 1}   -0.55{col 46}{space 3}0.581{col 54}{space 4}-.0635576{col 67}{space 3} .0357201
{txt}c_tfull_hc~s {c |}{col 14}{res}{space 2} .0209117{col 26}{space 2} .0272015{col 37}{space 1}    0.77{col 46}{space 3}0.443{col 54}{space 4}-.0327801{col 67}{space 3} .0746035
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2}  .031755{col 26}{space 2} .0640388{col 37}{space 1}    0.50{col 46}{space 3}0.621{col 54}{space 4}-.0946482{col 67}{space 3} .1581582
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2}-.0110784{col 26}{space 2}  .008316{col 37}{space 1}   -1.33{col 46}{space 3}0.185{col 54}{space 4} -.027493{col 67}{space 3} .0053362
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2} .0389966{col 26}{space 2} .0253504{col 37}{space 1}    1.54{col 46}{space 3}0.126{col 54}{space 4}-.0110414{col 67}{space 3} .0890346
{txt}c_treatful.. {c |}{col 14}{res}{space 2}-.0155584{col 26}{space 2} .0252118{col 37}{space 1}   -0.62{col 46}{space 3}0.538{col 54}{space 4}-.0653227{col 67}{space 3}  .034206
{txt}c_treatful.. {c |}{col 14}{res}{space 2} .0165396{col 26}{space 2} .0298611{col 37}{space 1}    0.55{col 46}{space 3}0.580{col 54}{space 4}-.0424018{col 67}{space 3}  .075481
{txt}c_treatful.. {c |}{col 14}{res}{space 2}-.0320421{col 26}{space 2} .0330384{col 37}{space 1}   -0.97{col 46}{space 3}0.333{col 54}{space 4} -.097255{col 67}{space 3} .0331707
{txt}c_treatful.. {c |}{col 14}{res}{space 2}-.0845263{col 26}{space 2} .1225199{col 37}{space 1}   -0.69{col 46}{space 3}0.491{col 54}{space 4}-.3263625{col 67}{space 3}   .15731
{txt}c_treatful.. {c |}{col 14}{res}{space 2}-.0144381{col 26}{space 2} .0114556{col 37}{space 1}   -1.26{col 46}{space 3}0.209{col 54}{space 4}-.0370497{col 67}{space 3} .0081736
{txt}c_treatful.. {c |}{col 14}{res}{space 2} .0106779{col 26}{space 2} .0337524{col 37}{space 1}    0.32{col 46}{space 3}0.752{col 54}{space 4}-.0559443{col 67}{space 3} .0773001
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} .0552367{col 26}{space 2} .0075564{col 37}{space 1}    7.31{col 46}{space 3}0.000{col 54}{space 4} .0403215{col 67}{space 3} .0701518
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}
{txt}Linear regression                               Number of obs     = {res}       187
                                                {txt}F(14, 172)        =  {res}     0.55
                                                {txt}Prob > F          = {res}    0.8965
                                                {txt}R-squared         = {res}    0.0342
                                                {txt}Root MSE          =    {res} .88441

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}m_h_ctzpre~z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2}-.1422651{col 26}{space 2} .1295203{col 37}{space 1}   -1.10{col 46}{space 3}0.274{col 54}{space 4}-.3979191{col 67}{space 3} .1133889
{txt}bm_h_ctzpr~z {c |}{col 14}{res}{space 2} .0028827{col 26}{space 2} .0946927{col 37}{space 1}    0.03{col 46}{space 3}0.976{col 54}{space 4}-.1840266{col 67}{space 3} .1897921
{txt}c_tf~_hc_hc2 {c |}{col 14}{res}{space 2}-.0216099{col 26}{space 2} .1717414{col 37}{space 1}   -0.13{col 46}{space 3}0.900{col 54}{space 4}-.3606021{col 67}{space 3} .3173823
{txt}c_tfull_hc~l {c |}{col 14}{res}{space 2} .1444284{col 26}{space 2} .2912699{col 37}{space 1}    0.50{col 46}{space 3}0.621{col 54}{space 4}-.4304953{col 67}{space 3} .7193521
{txt}c_tfull_hc~s {c |}{col 14}{res}{space 2}-.1058238{col 26}{space 2} .3137789{col 37}{space 1}   -0.34{col 46}{space 3}0.736{col 54}{space 4} -.725177{col 67}{space 3} .5135295
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2} .4215861{col 26}{space 2} 1.022219{col 37}{space 1}    0.41{col 46}{space 3}0.681{col 54}{space 4}-1.596124{col 67}{space 3} 2.439296
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2}-.0476938{col 26}{space 2} .0801567{col 37}{space 1}   -0.60{col 46}{space 3}0.553{col 54}{space 4}-.2059114{col 67}{space 3} .1105237
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2} .1312371{col 26}{space 2} .2654419{col 37}{space 1}    0.49{col 46}{space 3}0.622{col 54}{space 4}-.3927061{col 67}{space 3} .6551802
{txt}c_treatful.. {c |}{col 14}{res}{space 2}-.1241287{col 26}{space 2} .2859406{col 37}{space 1}   -0.43{col 46}{space 3}0.665{col 54}{space 4}-.6885333{col 67}{space 3} .4402758
{txt}c_treatful.. {c |}{col 14}{res}{space 2}-.1216535{col 26}{space 2} .4097226{col 37}{space 1}   -0.30{col 46}{space 3}0.767{col 54}{space 4}-.9303853{col 67}{space 3} .6870782
{txt}c_treatful.. {c |}{col 14}{res}{space 2}-.2338248{col 26}{space 2} .4075626{col 37}{space 1}   -0.57{col 46}{space 3}0.567{col 54}{space 4}-1.038293{col 67}{space 3} .5706435
{txt}c_treatful.. {c |}{col 14}{res}{space 2}-1.370573{col 26}{space 2} 1.571737{col 37}{space 1}   -0.87{col 46}{space 3}0.384{col 54}{space 4}-4.472949{col 67}{space 3} 1.731803
{txt}c_treatful.. {c |}{col 14}{res}{space 2}-.0723881{col 26}{space 2} .1402736{col 37}{space 1}   -0.52{col 46}{space 3}0.606{col 54}{space 4}-.3492674{col 67}{space 3} .2044912
{txt}c_treatful.. {c |}{col 14}{res}{space 2} .0655951{col 26}{space 2} .4438275{col 37}{space 1}    0.15{col 46}{space 3}0.883{col 54}{space 4}-.8104547{col 67}{space 3} .9416449
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} .0001358{col 26}{space 2} .0878891{col 37}{space 1}    0.00{col 46}{space 3}0.999{col 54}{space 4}-.1733443{col 67}{space 3} .1736159
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}.                 
.         *************************
.         * Agregated at HC level *
.         *************************
.         
.         local indices_hc mortrate_05 h_ctzpressure_z
{txt}
{com}.         
.         * Our first step is to create the mean at HC level
.         
.         foreach x of local indices {c -(}
{txt}  2{com}.                 byso hc_id : egen mean_m_`x' = mean(m_`x')
{txt}  3{com}.                 byso hc_id : egen mean_bm_`x' = mean(bm_`x')
{txt}  4{com}.                 byso hc_id : egen mean_bm_`x'_d = mean(bm_`x'_d)
{txt}  5{com}.                 {c )-}
{txt}
{com}.                 
.         foreach x of local indices_hc {c -(}
{txt}  2{com}.                 byso hc_id : egen mean_m_`x' = mean(m_`x')
{txt}  3{com}.                 byso hc_id : egen mean_bm_`x' = mean(bm_`x')
{txt}  4{com}.                 {c )-}
{txt}
{com}.         
.         
.         eststo clear
{txt}
{com}.         
.         local var treatfull
{txt}
{com}.         
.         foreach x in `indices' {c -(}
{txt}  2{com}.                 areg  mean_m_`x' `var' mean_bm_`x' mean_bm_`x'_d `m_controls_tfull_hc' ``var'_hc_int_m_controls' if uniquehc == 1, robust a(district)
{txt}  3{com}.                 local n_mean_`x' = string(`e(N)',"%9.0fc")
{txt}  4{com}.                 local b_mean_`x' = string(_b[treatfull],"%9.3fc")
{txt}  5{com}.                 local se_mean_`x' =string(_se[treatfull],"%9.3fc")
{txt}  6{com}.                 local p_mean_`x' = (2 * ttail(e(df_r), abs(_b[treatfull]/_se[treatfull])))
{txt}  7{com}.                         
.                 if `p_mean_`x'' <= 0.1 & `p_mean_`x'' > 0.05{c -(}
{txt}  8{com}.                         local b_mean_`x' `b_mean_`x''*
{txt}  9{com}.                 {c )-}
{txt} 10{com}.         
.                 if `p_mean_`x'' <= 0.05 & `p_mean_`x'' > 0.01{c -(}
{txt} 11{com}.                         local b_mean_`x' `b_mean_`x''**
{txt} 12{com}.                 {c )-}
{txt} 13{com}.                 
.                 if `p_mean_`x'' <= 0.01 & `p_mean_`x'' > 0 {c -(}
{txt} 14{com}.                         local b_mean_`x' `b_mean_`x''***
{txt} 15{com}.                 {c )-}
{txt} 16{com}.                 
.                 local csb_mean_`x' = string(_b[_cons],"%9.3fc")
{txt} 17{com}.                 local csse_mean_`x' =string(_se[_cons],"%9.3fc")
{txt} 18{com}.                 local p_mean_`x' = (2 * ttail(e(df_r), abs(_b[_cons]/_se[_cons])))
{txt} 19{com}.                         
.                 if `p_mean_`x'' <= 0.1 & `p_mean_`x'' > 0.05{c -(}
{txt} 20{com}.                         local csb_mean_`x' `csb_mean_`x''*
{txt} 21{com}.                 {c )-}
{txt} 22{com}.         
.                 if `p_mean_`x'' <= 0.05 & `p_mean_`x'' > 0.01{c -(}
{txt} 23{com}.                         local csb_mean_`x' `csb_mean_`x''**
{txt} 24{com}.                 {c )-}
{txt} 25{com}.                 
.                 if `p_mean_`x'' <= 0.01 & `p_mean_`x'' > 0 {c -(}
{txt} 26{com}.                         local csb_mean_`x' `csb_mean_`x''***
{txt} 27{com}.                 {c )-}
{txt} 28{com}.                 
.                 {c )-}
{p 0 6 2}{txt}note: mean_bm_urate_z_d omitted because of collinearity{p_end}
{res}
{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}       187
{txt}{col 49}F({res}  14{txt},{res}    157{txt}){col 67}= {res}     19.73
{txt}{col 49}Prob > F{col 67}= {res}    0.0000
{txt}{col 49}R-squared{col 67}= {res}    0.8170
{txt}{col 49}Adj R-squared{col 67}= {res}    0.7832
{txt}{col 49}Root MSE{col 67}= {res}    0.1414

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}mean_m_ura~z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2}-.0113385{col 26}{space 2} .0210059{col 37}{space 1}   -0.54{col 46}{space 3}0.590{col 54}{space 4}-.0528291{col 67}{space 3} .0301521
{txt}mean_bm_ur~z {c |}{col 14}{res}{space 2} .5910959{col 26}{space 2} .0886865{col 37}{space 1}    6.67{col 46}{space 3}0.000{col 54}{space 4} .4159232{col 67}{space 3} .7662686
{txt}mean_bm_ur~d {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
c_tf~_hc_hc2 {c |}{col 14}{res}{space 2} .0241633{col 26}{space 2} .0447093{col 37}{space 1}    0.54{col 46}{space 3}0.590{col 54}{space 4}-.0641461{col 67}{space 3} .1124727
{txt}c_tfull_hc~l {c |}{col 14}{res}{space 2}-.0401049{col 26}{space 2} .0464302{col 37}{space 1}   -0.86{col 46}{space 3}0.389{col 54}{space 4}-.1318133{col 67}{space 3} .0516035
{txt}c_tfull_hc~s {c |}{col 14}{res}{space 2} .0669206{col 26}{space 2} .0477368{col 37}{space 1}    1.40{col 46}{space 3}0.163{col 54}{space 4}-.0273685{col 67}{space 3} .1612098
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2} .4368177{col 26}{space 2} .1589419{col 37}{space 1}    2.75{col 46}{space 3}0.007{col 54}{space 4} .1228773{col 67}{space 3}  .750758
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2}-.0234527{col 26}{space 2} .0139157{col 37}{space 1}   -1.69{col 46}{space 3}0.094{col 54}{space 4}-.0509389{col 67}{space 3} .0040334
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2}  -.03919{col 26}{space 2} .0553329{col 37}{space 1}   -0.71{col 46}{space 3}0.480{col 54}{space 4} -.148483{col 67}{space 3} .0701029
{txt}c_treatful.. {c |}{col 14}{res}{space 2}-.0386409{col 26}{space 2} .0569052{col 37}{space 1}   -0.68{col 46}{space 3}0.498{col 54}{space 4}-.1510395{col 67}{space 3} .0737577
{txt}c_treatful.. {c |}{col 14}{res}{space 2}  .012058{col 26}{space 2} .0569803{col 37}{space 1}    0.21{col 46}{space 3}0.833{col 54}{space 4}-.1004888{col 67}{space 3} .1246047
{txt}c_treatful.. {c |}{col 14}{res}{space 2}-.0930273{col 26}{space 2} .0767378{col 37}{space 1}   -1.21{col 46}{space 3}0.227{col 54}{space 4} -.244599{col 67}{space 3} .0585444
{txt}c_treatful.. {c |}{col 14}{res}{space 2}-.2075774{col 26}{space 2} .2086707{col 37}{space 1}   -0.99{col 46}{space 3}0.321{col 54}{space 4}-.6197415{col 67}{space 3} .2045868
{txt}c_treatful.. {c |}{col 14}{res}{space 2} .0384376{col 26}{space 2} .0216416{col 37}{space 1}    1.78{col 46}{space 3}0.078{col 54}{space 4}-.0043086{col 67}{space 3} .0811838
{txt}c_treatful.. {c |}{col 14}{res}{space 2} -.060521{col 26}{space 2} .0620172{col 37}{space 1}   -0.98{col 46}{space 3}0.331{col 54}{space 4}-.1830168{col 67}{space 3} .0619747
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} -.003301{col 26}{space 2} .0149401{col 37}{space 1}   -0.22{col 46}{space 3}0.825{col 54}{space 4}-.0328105{col 67}{space 3} .0262085
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)
{p 0 6 2}note: mean_bm_treatqual_z_d omitted because of collinearity{p_end}
{res}
{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}       187
{txt}{col 49}F({res}  14{txt},{res}    157{txt}){col 67}= {res}      2.28
{txt}{col 49}Prob > F{col 67}= {res}    0.0073
{txt}{col 49}R-squared{col 67}= {res}    0.2534
{txt}{col 49}Adj R-squared{col 67}= {res}    0.1155
{txt}{col 49}Root MSE{col 67}= {res}    0.2402

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}mean_m_t~l_z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2}  .050132{col 26}{space 2} .0353261{col 37}{space 1}    1.42{col 46}{space 3}0.158{col 54}{space 4}-.0196438{col 67}{space 3} .1199077
{txt}mean_bm_~l_z {c |}{col 14}{res}{space 2}  .162334{col 26}{space 2}  .096487{col 37}{space 1}    1.68{col 46}{space 3}0.094{col 54}{space 4}-.0282461{col 67}{space 3} .3529142
{txt}mean_b~l_z_d {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
c_tf~_hc_hc2 {c |}{col 14}{res}{space 2} -.142008{col 26}{space 2} .0788495{col 37}{space 1}   -1.80{col 46}{space 3}0.074{col 54}{space 4}-.2977507{col 67}{space 3} .0137346
{txt}c_tfull_hc~l {c |}{col 14}{res}{space 2} .0258611{col 26}{space 2} .0833954{col 37}{space 1}    0.31{col 46}{space 3}0.757{col 54}{space 4}-.1388607{col 67}{space 3} .1905829
{txt}c_tfull_hc~s {c |}{col 14}{res}{space 2}  .003965{col 26}{space 2} .0951216{col 37}{space 1}    0.04{col 46}{space 3}0.967{col 54}{space 4}-.1839183{col 67}{space 3} .1918482
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2} .2381712{col 26}{space 2} .3173724{col 37}{space 1}    0.75{col 46}{space 3}0.454{col 54}{space 4}-.3886993{col 67}{space 3} .8650416
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2}-.0312314{col 26}{space 2} .0349384{col 37}{space 1}   -0.89{col 46}{space 3}0.373{col 54}{space 4}-.1002414{col 67}{space 3} .0377786
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2} .0340165{col 26}{space 2}   .09147{col 37}{space 1}    0.37{col 46}{space 3}0.710{col 54}{space 4} -.146654{col 67}{space 3}  .214687
{txt}c_treatful.. {c |}{col 14}{res}{space 2} .0591483{col 26}{space 2} .0930304{col 37}{space 1}    0.64{col 46}{space 3}0.526{col 54}{space 4}-.1246043{col 67}{space 3}  .242901
{txt}c_treatful.. {c |}{col 14}{res}{space 2}-.0422082{col 26}{space 2} .1078715{col 37}{space 1}   -0.39{col 46}{space 3}0.696{col 54}{space 4}-.2552749{col 67}{space 3} .1708585
{txt}c_treatful.. {c |}{col 14}{res}{space 2} .0079973{col 26}{space 2} .1080689{col 37}{space 1}    0.07{col 46}{space 3}0.941{col 54}{space 4}-.2054592{col 67}{space 3} .2214539
{txt}c_treatful.. {c |}{col 14}{res}{space 2}-.2466409{col 26}{space 2} .4241302{col 37}{space 1}   -0.58{col 46}{space 3}0.562{col 54}{space 4}-1.084378{col 67}{space 3} .5910964
{txt}c_treatful.. {c |}{col 14}{res}{space 2} .0831937{col 26}{space 2} .0450631{col 37}{space 1}    1.85{col 46}{space 3}0.067{col 54}{space 4}-.0058145{col 67}{space 3} .1722019
{txt}c_treatful.. {c |}{col 14}{res}{space 2} -.144808{col 26}{space 2} .1219314{col 37}{space 1}   -1.19{col 46}{space 3}0.237{col 54}{space 4}-.3856456{col 67}{space 3} .0960296
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} .0023008{col 26}{space 2} .0253822{col 37}{space 1}    0.09{col 46}{space 3}0.928{col 54}{space 4}-.0478337{col 67}{space 3} .0524354
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)
{p 0 6 2}note: mean_bm_treatqualalt_z_d omitted because of collinearity{p_end}
{res}
{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}       187
{txt}{col 49}F({res}  14{txt},{res}    157{txt}){col 67}= {res}      4.24
{txt}{col 49}Prob > F{col 67}= {res}    0.0000
{txt}{col 49}R-squared{col 67}= {res}    0.3374
{txt}{col 49}Adj R-squared{col 67}= {res}    0.2150
{txt}{col 49}Root MSE{col 67}= {res}    0.1691

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}mean_m_t~t_z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2} .0224843{col 26}{space 2} .0251959{col 37}{space 1}    0.89{col 46}{space 3}0.374{col 54}{space 4}-.0272824{col 67}{space 3} .0722511
{txt}mean_bm~lt_z {c |}{col 14}{res}{space 2} .4356631{col 26}{space 2} .0895948{col 37}{space 1}    4.86{col 46}{space 3}0.000{col 54}{space 4} .2586964{col 67}{space 3} .6126298
{txt}mean_~lt_z_d {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
c_tf~_hc_hc2 {c |}{col 14}{res}{space 2}-.0201756{col 26}{space 2} .0554613{col 37}{space 1}   -0.36{col 46}{space 3}0.717{col 54}{space 4}-.1297221{col 67}{space 3} .0893709
{txt}c_tfull_hc~l {c |}{col 14}{res}{space 2} .0409927{col 26}{space 2} .0598603{col 37}{space 1}    0.68{col 46}{space 3}0.494{col 54}{space 4}-.0772427{col 67}{space 3} .1592282
{txt}c_tfull_hc~s {c |}{col 14}{res}{space 2} .0107536{col 26}{space 2}  .062719{col 37}{space 1}    0.17{col 46}{space 3}0.864{col 54}{space 4}-.1131282{col 67}{space 3} .1346354
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2} .0278117{col 26}{space 2} .1943085{col 37}{space 1}    0.14{col 46}{space 3}0.886{col 54}{space 4}-.3559843{col 67}{space 3} .4116077
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2} .0053811{col 26}{space 2} .0207045{col 37}{space 1}    0.26{col 46}{space 3}0.795{col 54}{space 4}-.0355143{col 67}{space 3} .0462765
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2}-.0798393{col 26}{space 2} .0548532{col 37}{space 1}   -1.46{col 46}{space 3}0.148{col 54}{space 4}-.1881848{col 67}{space 3} .0285063
{txt}c_treatful.. {c |}{col 14}{res}{space 2} .0042857{col 26}{space 2}  .071558{col 37}{space 1}    0.06{col 46}{space 3}0.952{col 54}{space 4}-.1370549{col 67}{space 3} .1456263
{txt}c_treatful.. {c |}{col 14}{res}{space 2}-.0131441{col 26}{space 2}  .076104{col 37}{space 1}   -0.17{col 46}{space 3}0.863{col 54}{space 4}-.1634639{col 67}{space 3} .1371757
{txt}c_treatful.. {c |}{col 14}{res}{space 2} .0168632{col 26}{space 2} .0793808{col 37}{space 1}    0.21{col 46}{space 3}0.832{col 54}{space 4}-.1399288{col 67}{space 3} .1736553
{txt}c_treatful.. {c |}{col 14}{res}{space 2}  .058438{col 26}{space 2} .2841216{col 37}{space 1}    0.21{col 46}{space 3}0.837{col 54}{space 4}-.5027559{col 67}{space 3} .6196319
{txt}c_treatful.. {c |}{col 14}{res}{space 2} .0193364{col 26}{space 2} .0281564{col 37}{space 1}    0.69{col 46}{space 3}0.493{col 54}{space 4}-.0362777{col 67}{space 3} .0749506
{txt}c_treatful.. {c |}{col 14}{res}{space 2}-.0304304{col 26}{space 2} .0746378{col 37}{space 1}   -0.41{col 46}{space 3}0.684{col 54}{space 4}-.1778541{col 67}{space 3} .1169933
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} .0008019{col 26}{space 2} .0172316{col 37}{space 1}    0.05{col 46}{space 3}0.963{col 54}{space 4}-.0332337{col 67}{space 3} .0348375
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)
{p 0 6 2}note: mean_bm_patsat_z_d omitted because of collinearity{p_end}
{res}
{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}       187
{txt}{col 49}F({res}  14{txt},{res}    157{txt}){col 67}= {res}      3.19
{txt}{col 49}Prob > F{col 67}= {res}    0.0002
{txt}{col 49}R-squared{col 67}= {res}    0.2652
{txt}{col 49}Adj R-squared{col 67}= {res}    0.1295
{txt}{col 49}Root MSE{col 67}= {res}    0.2052

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}mean_m_pat~z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2} .0392218{col 26}{space 2} .0304217{col 37}{space 1}    1.29{col 46}{space 3}0.199{col 54}{space 4}-.0208669{col 67}{space 3} .0993105
{txt}mean_bm_pa~z {c |}{col 14}{res}{space 2} .2579492{col 26}{space 2} .0799603{col 37}{space 1}    3.23{col 46}{space 3}0.002{col 54}{space 4} .1000124{col 67}{space 3} .4158859
{txt}mean_bm_pa~d {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
c_tf~_hc_hc2 {c |}{col 14}{res}{space 2}-.0016967{col 26}{space 2} .0601869{col 37}{space 1}   -0.03{col 46}{space 3}0.978{col 54}{space 4}-.1205773{col 67}{space 3} .1171839
{txt}c_tfull_hc~l {c |}{col 14}{res}{space 2} .0877464{col 26}{space 2} .0710068{col 37}{space 1}    1.24{col 46}{space 3}0.218{col 54}{space 4}-.0525054{col 67}{space 3} .2279982
{txt}c_tfull_hc~s {c |}{col 14}{res}{space 2} .0454473{col 26}{space 2} .0691804{col 37}{space 1}    0.66{col 46}{space 3}0.512{col 54}{space 4} -.091197{col 67}{space 3} .1820916
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2} .2303982{col 26}{space 2}  .221359{col 37}{space 1}    1.04{col 46}{space 3}0.300{col 54}{space 4}-.2068277{col 67}{space 3}  .667624
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2}-.0118529{col 26}{space 2} .0261886{col 37}{space 1}   -0.45{col 46}{space 3}0.651{col 54}{space 4}-.0635803{col 67}{space 3} .0398745
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2}  .083146{col 26}{space 2} .0715399{col 37}{space 1}    1.16{col 46}{space 3}0.247{col 54}{space 4}-.0581589{col 67}{space 3} .2244508
{txt}c_treatful.. {c |}{col 14}{res}{space 2} .0099462{col 26}{space 2} .0780789{col 37}{space 1}    0.13{col 46}{space 3}0.899{col 54}{space 4}-.1442745{col 67}{space 3} .1641668
{txt}c_treatful.. {c |}{col 14}{res}{space 2}-.0885305{col 26}{space 2} .0882882{col 37}{space 1}   -1.00{col 46}{space 3}0.318{col 54}{space 4}-.2629164{col 67}{space 3} .0858553
{txt}c_treatful.. {c |}{col 14}{res}{space 2} -.004681{col 26}{space 2} .0862136{col 37}{space 1}   -0.05{col 46}{space 3}0.957{col 54}{space 4}-.1749692{col 67}{space 3} .1656071
{txt}c_treatful.. {c |}{col 14}{res}{space 2} .2720623{col 26}{space 2} .3656703{col 37}{space 1}    0.74{col 46}{space 3}0.458{col 54}{space 4}-.4502058{col 67}{space 3} .9943304
{txt}c_treatful.. {c |}{col 14}{res}{space 2} .0446345{col 26}{space 2} .0331136{col 37}{space 1}    1.35{col 46}{space 3}0.180{col 54}{space 4} -.020771{col 67}{space 3}   .11004
{txt}c_treatful.. {c |}{col 14}{res}{space 2} .0124694{col 26}{space 2}  .084774{col 37}{space 1}    0.15{col 46}{space 3}0.883{col 54}{space 4}-.1549752{col 67}{space 3} .1799141
{txt}{space 7}_cons {c |}{col 14}{res}{space 2}  .000407{col 26}{space 2} .0206302{col 37}{space 1}    0.02{col 46}{space 3}0.984{col 54}{space 4}-.0403415{col 67}{space 3} .0411555
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)
{p 0 6 2}note: mean_bm_commtg_z_d omitted because of collinearity{p_end}
{res}
{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}       187
{txt}{col 49}F({res}  14{txt},{res}    157{txt}){col 67}= {res}      1.41
{txt}{col 49}Prob > F{col 67}= {res}    0.1536
{txt}{col 49}R-squared{col 67}= {res}    0.3538
{txt}{col 49}Adj R-squared{col 67}= {res}    0.2345
{txt}{col 49}Root MSE{col 67}= {res}    0.1768

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}mean_m_com~z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2}  .015288{col 26}{space 2}  .026268{col 37}{space 1}    0.58{col 46}{space 3}0.561{col 54}{space 4}-.0365963{col 67}{space 3} .0671723
{txt}mean_bm_co~z {c |}{col 14}{res}{space 2}  .143416{col 26}{space 2} .0510393{col 37}{space 1}    2.81{col 46}{space 3}0.006{col 54}{space 4} .0426038{col 67}{space 3} .2442283
{txt}mean_bm_co~d {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
c_tf~_hc_hc2 {c |}{col 14}{res}{space 2} .0483788{col 26}{space 2} .0552949{col 37}{space 1}    0.87{col 46}{space 3}0.383{col 54}{space 4} -.060839{col 67}{space 3} .1575967
{txt}c_tfull_hc~l {c |}{col 14}{res}{space 2} .0290535{col 26}{space 2} .0578815{col 37}{space 1}    0.50{col 46}{space 3}0.616{col 54}{space 4}-.0852734{col 67}{space 3} .1433804
{txt}c_tfull_hc~s {c |}{col 14}{res}{space 2} .0422933{col 26}{space 2} .0666493{col 37}{space 1}    0.63{col 46}{space 3}0.527{col 54}{space 4}-.0893518{col 67}{space 3} .1739383
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2} .0795406{col 26}{space 2} .1577814{col 37}{space 1}    0.50{col 46}{space 3}0.615{col 54}{space 4}-.2321075{col 67}{space 3} .3911886
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2}-.0261699{col 26}{space 2}  .018084{col 37}{space 1}   -1.45{col 46}{space 3}0.150{col 54}{space 4}-.0618893{col 67}{space 3} .0095495
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2} .0622604{col 26}{space 2} .0607454{col 37}{space 1}    1.02{col 46}{space 3}0.307{col 54}{space 4}-.0577233{col 67}{space 3} .1822441
{txt}c_treatful.. {c |}{col 14}{res}{space 2} -.016731{col 26}{space 2} .0671091{col 37}{space 1}   -0.25{col 46}{space 3}0.803{col 54}{space 4}-.1492842{col 67}{space 3} .1158221
{txt}c_treatful.. {c |}{col 14}{res}{space 2} .0088569{col 26}{space 2} .0709085{col 37}{space 1}    0.12{col 46}{space 3}0.901{col 54}{space 4}-.1312007{col 67}{space 3} .1489146
{txt}c_treatful.. {c |}{col 14}{res}{space 2}-.0781365{col 26}{space 2} .0900087{col 37}{space 1}   -0.87{col 46}{space 3}0.387{col 54}{space 4}-.2559207{col 67}{space 3} .0996476
{txt}c_treatful.. {c |}{col 14}{res}{space 2} .2156503{col 26}{space 2}  .260744{col 37}{space 1}    0.83{col 46}{space 3}0.409{col 54}{space 4}-.2993683{col 67}{space 3}  .730669
{txt}c_treatful.. {c |}{col 14}{res}{space 2} .0287203{col 26}{space 2} .0277483{col 37}{space 1}    1.04{col 46}{space 3}0.302{col 54}{space 4}-.0260878{col 67}{space 3} .0835283
{txt}c_treatful.. {c |}{col 14}{res}{space 2}-.0728019{col 26}{space 2} .0797779{col 37}{space 1}   -0.91{col 46}{space 3}0.363{col 54}{space 4}-.2303783{col 67}{space 3} .0847745
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} -.000094{col 26}{space 2} .0196905{col 37}{space 1}   -0.00{col 46}{space 3}0.996{col 54}{space 4}-.0389864{col 67}{space 3} .0387984
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{com}. 
.         eststo clear
{txt}
{com}.                         
.         foreach x in `indices_hc' {c -(}
{txt}  2{com}.                 areg  mean_m_`x' `var' mean_bm_`x' `m_controls_tfull_hc' ``var'_hc_int_m_controls' if uniquehc == 1, robust a(district)
{txt}  3{com}.                 local n_mean_`x' = string(`e(N)',"%9.0fc")
{txt}  4{com}.                 local b_mean_`x' = string(_b[treatfull],"%9.3fc")
{txt}  5{com}.                 local se_mean_`x' =string(_se[treatfull],"%9.3fc")
{txt}  6{com}.                 local p_mean_`x' = (2 * ttail(e(df_r), abs(_b[treatfull]/_se[treatfull])))
{txt}  7{com}.                         
.                 if `p_mean_`x'' <= 0.1 & `p_mean_`x'' > 0.05{c -(}
{txt}  8{com}.                         local b_mean_`x' `b_mean_`x''*
{txt}  9{com}.                 {c )-}                             
{txt} 10{com}.                 
.                 if `p_mean_`x'' <= 0.05 & `p_mean_`x'' > 0.01{c -(}
{txt} 11{com}.                         local b_mean_`x' `b_mean_`x''**
{txt} 12{com}.                 {c )-}
{txt} 13{com}.                 
.                 if `p_mean_`x'' <= 0.01 & `p_mean_`x'' > 0 {c -(}
{txt} 14{com}.                         local b_mean_`x' `b_mean_`x''***
{txt} 15{com}.                 {c )-}
{txt} 16{com}.                 
.                 local csb_mean_`x' = string(_b[_cons],"%9.3fc")
{txt} 17{com}.                 local csse_mean_`x' =string(_se[_cons],"%9.3fc")
{txt} 18{com}.                 local p_mean_`x' = (2 * ttail(e(df_r), abs(_b[_cons]/_se[_cons])))
{txt} 19{com}.                         
.                 if `p_mean_`x'' <= 0.1 & `p_mean_`x'' > 0.05{c -(}
{txt} 20{com}.                         local csb_mean_`x' `csb_mean_`x''*
{txt} 21{com}.                 {c )-}
{txt} 22{com}.         
.                 if `p_mean_`x'' <= 0.05 & `p_mean_`x'' > 0.01{c -(}
{txt} 23{com}.                         local csb_mean_`x' `csb_mean_`x''**
{txt} 24{com}.                 {c )-}
{txt} 25{com}.                 
.                 if `p_mean_`x'' <= 0.01 & `p_mean_`x'' > 0 {c -(}
{txt} 26{com}.                         local csb_mean_`x' `csb_mean_`x''***
{txt} 27{com}.                 {c )-}
{txt} 28{com}.                 
.                 {c )-}
{res}
{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}       187
{txt}{col 49}F({res}  14{txt},{res}    157{txt}){col 67}= {res}      1.19
{txt}{col 49}Prob > F{col 67}= {res}    0.2874
{txt}{col 49}R-squared{col 67}= {res}    0.2037
{txt}{col 49}Adj R-squared{col 67}= {res}    0.0566
{txt}{col 49}Root MSE{col 67}= {res}    0.0665

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}mean_m_mo~05{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2}-.0140245{col 26}{space 2} .0100724{col 37}{space 1}   -1.39{col 46}{space 3}0.166{col 54}{space 4}-.0339195{col 67}{space 3} .0058705
{txt}mean_bm_m~05 {c |}{col 14}{res}{space 2} .0617997{col 26}{space 2} .0757888{col 37}{space 1}    0.82{col 46}{space 3}0.416{col 54}{space 4}-.0878976{col 67}{space 3}  .211497
{txt}c_tf~_hc_hc2 {c |}{col 14}{res}{space 2} .0073776{col 26}{space 2} .0225614{col 37}{space 1}    0.33{col 46}{space 3}0.744{col 54}{space 4}-.0371854{col 67}{space 3} .0519406
{txt}c_tfull_hc~l {c |}{col 14}{res}{space 2}-.0142297{col 26}{space 2} .0264921{col 37}{space 1}   -0.54{col 46}{space 3}0.592{col 54}{space 4}-.0665566{col 67}{space 3} .0380971
{txt}c_tfull_hc~s {c |}{col 14}{res}{space 2} .0182348{col 26}{space 2} .0282384{col 37}{space 1}    0.65{col 46}{space 3}0.519{col 54}{space 4}-.0375414{col 67}{space 3} .0740109
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2}-.0213908{col 26}{space 2} .0680492{col 37}{space 1}   -0.31{col 46}{space 3}0.754{col 54}{space 4}-.1558009{col 67}{space 3} .1130192
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2}-.0097011{col 26}{space 2} .0092363{col 37}{space 1}   -1.05{col 46}{space 3}0.295{col 54}{space 4}-.0279446{col 67}{space 3} .0085423
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2} .0138536{col 26}{space 2} .0305349{col 37}{space 1}    0.45{col 46}{space 3}0.651{col 54}{space 4}-.0464586{col 67}{space 3} .0741658
{txt}c_treatful.. {c |}{col 14}{res}{space 2}-.0153994{col 26}{space 2} .0256287{col 37}{space 1}   -0.60{col 46}{space 3}0.549{col 54}{space 4} -.066021{col 67}{space 3} .0352222
{txt}c_treatful.. {c |}{col 14}{res}{space 2}  .020608{col 26}{space 2} .0292329{col 37}{space 1}    0.70{col 46}{space 3}0.482{col 54}{space 4}-.0371325{col 67}{space 3} .0783486
{txt}c_treatful.. {c |}{col 14}{res}{space 2}-.0510683{col 26}{space 2}    .0349{col 37}{space 1}   -1.46{col 46}{space 3}0.145{col 54}{space 4}-.1200023{col 67}{space 3} .0178658
{txt}c_treatful.. {c |}{col 14}{res}{space 2}-.0730007{col 26}{space 2} .1199543{col 37}{space 1}   -0.61{col 46}{space 3}0.544{col 54}{space 4}-.3099332{col 67}{space 3} .1639318
{txt}c_treatful.. {c |}{col 14}{res}{space 2}-.0131127{col 26}{space 2} .0114669{col 37}{space 1}   -1.14{col 46}{space 3}0.255{col 54}{space 4} -.035762{col 67}{space 3} .0095366
{txt}c_treatful.. {c |}{col 14}{res}{space 2}  .000323{col 26}{space 2} .0356759{col 37}{space 1}    0.01{col 46}{space 3}0.993{col 54}{space 4}-.0701436{col 67}{space 3} .0707896
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} .0540044{col 26}{space 2} .0076871{col 37}{space 1}    7.03{col 46}{space 3}0.000{col 54}{space 4} .0388209{col 67}{space 3} .0691878
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)
{res}
{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}       187
{txt}{col 49}F({res}  14{txt},{res}    157{txt}){col 67}= {res}      0.74
{txt}{col 49}Prob > F{col 67}= {res}    0.7314
{txt}{col 49}R-squared{col 67}= {res}    0.1127
{txt}{col 49}Adj R-squared{col 67}= {res}   -0.0512
{txt}{col 49}Root MSE{col 67}= {res}    0.8873

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}mean_m_h_c~z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2}-.1319101{col 26}{space 2} .1286602{col 37}{space 1}   -1.03{col 46}{space 3}0.307{col 54}{space 4}-.3860384{col 67}{space 3} .1222182
{txt}mean_bm_h_~z {c |}{col 14}{res}{space 2}-.0410954{col 26}{space 2} .0996812{col 37}{space 1}   -0.41{col 46}{space 3}0.681{col 54}{space 4}-.2379846{col 67}{space 3} .1557938
{txt}c_tf~_hc_hc2 {c |}{col 14}{res}{space 2}-.0805302{col 26}{space 2} .1783674{col 37}{space 1}   -0.45{col 46}{space 3}0.652{col 54}{space 4}-.4328396{col 67}{space 3} .2717792
{txt}c_tfull_hc~l {c |}{col 14}{res}{space 2} .0759161{col 26}{space 2} .2730998{col 37}{space 1}    0.28{col 46}{space 3}0.781{col 54}{space 4}-.4635077{col 67}{space 3} .6153399
{txt}c_tfull_hc~s {c |}{col 14}{res}{space 2}  .007455{col 26}{space 2} .3372551{col 37}{space 1}    0.02{col 46}{space 3}0.982{col 54}{space 4}-.6586876{col 67}{space 3} .6735977
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2} .6468491{col 26}{space 2} .9160304{col 37}{space 1}    0.71{col 46}{space 3}0.481{col 54}{space 4}-1.162484{col 67}{space 3} 2.456182
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2} -.129783{col 26}{space 2} .0893219{col 37}{space 1}   -1.45{col 46}{space 3}0.148{col 54}{space 4}-.3062107{col 67}{space 3} .0466446
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2} .4624973{col 26}{space 2} .2833254{col 37}{space 1}    1.63{col 46}{space 3}0.105{col 54}{space 4} -.097124{col 67}{space 3} 1.022118
{txt}c_treatful.. {c |}{col 14}{res}{space 2}-.1273394{col 26}{space 2} .2799637{col 37}{space 1}   -0.45{col 46}{space 3}0.650{col 54}{space 4}-.6803206{col 67}{space 3} .4256418
{txt}c_treatful.. {c |}{col 14}{res}{space 2}-.2522103{col 26}{space 2} .4022873{col 37}{space 1}   -0.63{col 46}{space 3}0.532{col 54}{space 4}-1.046804{col 67}{space 3} .5423833
{txt}c_treatful.. {c |}{col 14}{res}{space 2}-.1582194{col 26}{space 2} .4270432{col 37}{space 1}   -0.37{col 46}{space 3}0.712{col 54}{space 4} -1.00171{col 67}{space 3} .6852717
{txt}c_treatful.. {c |}{col 14}{res}{space 2}-.4259249{col 26}{space 2} 1.455005{col 37}{space 1}   -0.29{col 46}{space 3}0.770{col 54}{space 4}-3.299834{col 67}{space 3} 2.447985
{txt}c_treatful.. {c |}{col 14}{res}{space 2}-.0656138{col 26}{space 2} .1507281{col 37}{space 1}   -0.44{col 46}{space 3}0.664{col 54}{space 4}-.3633303{col 67}{space 3} .2321026
{txt}c_treatful.. {c |}{col 14}{res}{space 2} .0524217{col 26}{space 2} .4411216{col 37}{space 1}    0.12{col 46}{space 3}0.906{col 54}{space 4}-.8188769{col 67}{space 3} .9237204
{txt}{space 7}_cons {c |}{col 14}{res}{space 2}-.0052806{col 26}{space 2} .0857583{col 37}{space 1}   -0.06{col 46}{space 3}0.951{col 54}{space 4}-.1746694{col 67}{space 3} .1641082
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{com}.                 
.         ***********************************
.         * Diff in Diff midline - baseline *
.         ***********************************
.         
.         local add_control
{txt}
{com}.         
.         foreach var of local indices {c -(}
{txt}  2{com}.                 local add_control `add_control' bm_`var'_d
{txt}  3{com}.                 {c )-}
{txt}
{com}.         
.         local var treatfull
{txt}
{com}.         
.         local m_indices m_urate_z m_treatqual_z m_treatqualalt_z m_patsat_z m_commtg_z
{txt}
{com}.         local m_indices_hc m_mortrate_05 m_h_ctzpressure_z
{txt}
{com}.         
.         local bm_indices bm_urate_z bm_treatqual_z bm_treatqualalt_z bm_patsat_z bm_commtg_z
{txt}
{com}.         local bm_indices_hc bm_mortrate_05 bm_h_ctzpressure_z
{txt}
{com}.         
.         keep hh_id hc_id `add_control' `bm_indices' `bm_indices_hc' `m_indices' `m_indices_hc' `m_controls_tfull' `m_controls_tfull_hc' ``var'_int_m_controls' ``var'_hc_int_m_controls' district uniquehc treatfull midline_presence
{txt}
{com}.         
.         foreach x of local indices {c -(}
{txt}  2{com}.                 ren bm_`x' `x'_bm
{txt}  3{com}.                 ren m_`x' `x'_m
{txt}  4{com}.                 {c )-}
{res}{txt}
{com}.                 
.         foreach x of local indices_hc {c -(}
{txt}  2{com}.                 ren bm_`x' `x'_bm
{txt}  3{com}.                 ren m_`x' `x'_m
{txt}  4{com}.                 {c )-}
{res}{txt}
{com}.                 
.         reshape long `indices' `indices_hc' , i(hh_id) j(num) s
{txt}(note: j = _bm _m)

Data{col 36}wide{col 43}->{col 48}long
{hline 77}
Number of obs.                 {res}   15295   {txt}->{res}   30590
{txt}Number of variables            {res}      49   {txt}->{res}      43
{txt}j variable (2 values)                     ->   {res}num
{txt}xij variables:
                   {res}urate_z_bm urate_z_m   {txt}->   {res}urate_z
           treatqual_z_bm treatqual_z_m   {txt}->   {res}treatqual_z
     treatqualalt_z_bm treatqualalt_z_m   {txt}->   {res}treatqualalt_z
                 patsat_z_bm patsat_z_m   {txt}->   {res}patsat_z
                 commtg_z_bm commtg_z_m   {txt}->   {res}commtg_z
           mortrate_05_bm mortrate_05_m   {txt}->   {res}mortrate_05
   h_ctzpressure_z_bm h_ctzpressure_z_m   {txt}->   {res}h_ctzpressure_z
{txt}{hline 77}

{com}.         
.         gen y15 = (num == "_m")
{txt}
{com}.         
.         drop num
{txt}
{com}.         
.         gen t_15 = treatfull*y15
{txt}(15,354 missing values generated)

{com}.         
.         local indices urate_z treatqual_z treatqualalt_z patsat_z commtg_z
{txt}
{com}.         local indices_hc mortrate_05 h_ctzpressure_z
{txt}
{com}.         
.         foreach x in `indices' {c -(}
{txt}  2{com}.                 areg `x' t_15 y15 bm_`x'_d `m_controls_tfull' ``var'_int_m_controls' if midline_presence == 1, robust cl(hc_id) a(district)
{txt}  3{com}.                 local n_dd_`x' = string(`e(N)',"%9.0fc")
{txt}  4{com}.                 local b_dd_`x' = string(_b[t_15],"%9.3fc")
{txt}  5{com}.                 local se_dd_`x' =string(_se[t_15],"%9.3fc")
{txt}  6{com}.                 local p_dd_`x' = (2 * ttail(e(df_r), abs(_b[t_15]/_se[t_15])))
{txt}  7{com}.                         
.                 if `p_dd_`x'' <= 0.1 & `p_dd_`x'' > 0.05{c -(}
{txt}  8{com}.                         local b_dd_`x' `b_dd_`x''*
{txt}  9{com}.                 {c )-}
{txt} 10{com}.         
.                 if `p_dd_`x'' <= 0.05 & `p_dd_`x'' > 0.01{c -(}
{txt} 11{com}.                         local b_dd_`x' `b_dd_`x''**
{txt} 12{com}.                 {c )-}
{txt} 13{com}.                 
.                 if `p_dd_`x'' <= 0.01 & `p_dd_`x'' > 0 {c -(}
{txt} 14{com}.                         local b_dd_`x' `b_dd_`x''***
{txt} 15{com}.                 {c )-}
{txt} 16{com}.                 
.                 local csb_dd_`x' = string(_b[_cons],"%9.3fc")
{txt} 17{com}.                 local csse_dd_`x' =string(_se[_cons],"%9.3fc")
{txt} 18{com}.                 local p_dd_`x' = (2 * ttail(e(df_r), abs(_b[_cons]/_se[_cons])))
{txt} 19{com}.                         
.                 if `p_dd_`x'' <= 0.1 & `p_dd_`x'' > 0.05{c -(}
{txt} 20{com}.                         local csb_dd_`x' `csb_dd_`x''*
{txt} 21{com}.                 {c )-}
{txt} 22{com}.         
.                 if `p_dd_`x'' <= 0.05 & `p_dd_`x'' > 0.01{c -(}
{txt} 23{com}.                         local csb_dd_`x' `csb_dd_`x''**
{txt} 24{com}.                 {c )-}
{txt} 25{com}.                 
.                 if `p_dd_`x'' <= 0.01 & `p_dd_`x'' > 0 {c -(}
{txt} 26{com}.                         local csb_dd_`x' `csb_dd_`x''***
{txt} 27{com}.                 {c )-}
{txt} 28{com}.                 
.                 {c )-}
{txt}note: bm_urate_z_d omitted because of collinearity
{res}
{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}    14,408
{txt}{col 49}F({res}  14{txt},{res}    186{txt}){col 67}= {res}     93.43
{txt}{col 49}Prob > F{col 67}= {res}    0.0000
{txt}{col 49}R-squared{col 67}= {res}    0.1852
{txt}{col 49}Adj R-squared{col 67}= {res}    0.1836
{txt}{col 49}Root MSE{col 67}= {res}    0.6410

{txt}{ralign 78:(Std. Err. adjusted for {res:187} clusters in hc_id)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}     urate_z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 8}t_15 {c |}{col 14}{res}{space 2}-.0345476{col 26}{space 2} .0240188{col 37}{space 1}   -1.44{col 46}{space 3}0.152{col 54}{space 4}-.0819319{col 67}{space 3} .0128367
{txt}{space 9}y15 {c |}{col 14}{res}{space 2} .0126889{col 26}{space 2} .0178685{col 37}{space 1}    0.71{col 46}{space 3}0.479{col 54}{space 4}-.0225622{col 67}{space 3} .0479399
{txt}bm_urate_z_d {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 1}c_tfull_hc2 {c |}{col 14}{res}{space 2} .0483639{col 26}{space 2} .0361265{col 37}{space 1}    1.34{col 46}{space 3}0.182{col 54}{space 4}-.0229065{col 67}{space 3} .1196343
{txt}c_tfull_b_~l {c |}{col 14}{res}{space 2} .0612706{col 26}{space 2} .0510365{col 37}{space 1}    1.20{col 46}{space 3}0.231{col 54}{space 4}-.0394141{col 67}{space 3} .1619553
{txt}c_tfull_b_~s {c |}{col 14}{res}{space 2}  .015044{col 26}{space 2} .0538303{col 37}{space 1}    0.28{col 46}{space 3}0.780{col 54}{space 4}-.0911524{col 67}{space 3} .1212404
{txt}c_tfull_bm~d {c |}{col 14}{res}{space 2} .8276701{col 26}{space 2} .0413863{col 37}{space 1}   20.00{col 46}{space 3}0.000{col 54}{space 4} .7460233{col 67}{space 3}  .909317
{txt}c_tfull_bm~r {c |}{col 14}{res}{space 2} -.013712{col 26}{space 2} .0026482{col 37}{space 1}   -5.18{col 46}{space 3}0.000{col 54}{space 4}-.0189363{col 67}{space 3}-.0084877
{txt}c_tfull_bm~x {c |}{col 14}{res}{space 2}-.0540676{col 26}{space 2} .0119003{col 37}{space 1}   -4.54{col 46}{space 3}0.000{col 54}{space 4}-.0775445{col 67}{space 3}-.0305907
{txt}c_trea~l_hc2 {c |}{col 14}{res}{space 2}-.0391064{col 26}{space 2} .0501466{col 37}{space 1}   -0.78{col 46}{space 3}0.436{col 54}{space 4}-.1380357{col 67}{space 3} .0598229
{txt}c_treatful.. {c |}{col 14}{res}{space 2} .0268641{col 26}{space 2} .0594368{col 37}{space 1}    0.45{col 46}{space 3}0.652{col 54}{space 4}-.0903929{col 67}{space 3} .1441211
{txt}c_treatful.. {c |}{col 14}{res}{space 2} .0111645{col 26}{space 2} .0740498{col 37}{space 1}    0.15{col 46}{space 3}0.880{col 54}{space 4}-.1349209{col 67}{space 3} .1572499
{txt}c_treatful.. {c |}{col 14}{res}{space 2}-.0599058{col 26}{space 2} .0510787{col 37}{space 1}   -1.17{col 46}{space 3}0.242{col 54}{space 4}-.1606738{col 67}{space 3} .0408623
{txt}c_treatful.. {c |}{col 14}{res}{space 2} .0059624{col 26}{space 2} .0038581{col 37}{space 1}    1.55{col 46}{space 3}0.124{col 54}{space 4}-.0016488{col 67}{space 3} .0135736
{txt}c_treatful.. {c |}{col 14}{res}{space 2} .0281079{col 26}{space 2} .0164209{col 37}{space 1}    1.71{col 46}{space 3}0.089{col 54}{space 4}-.0042871{col 67}{space 3}  .060503
{txt}{space 7}_cons {c |}{col 14}{res}{space 2}-.0233671{col 26}{space 2} .0118014{col 37}{space 1}   -1.98{col 46}{space 3}0.049{col 54}{space 4}-.0466489{col 67}{space 3}-.0000853
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)
note: bm_treatqual_z_d omitted because of collinearity
{res}
{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}    14,408
{txt}{col 49}F({res}  14{txt},{res}    186{txt}){col 67}= {res}      2.80
{txt}{col 49}Prob > F{col 67}= {res}    0.0008
{txt}{col 49}R-squared{col 67}= {res}    0.0498
{txt}{col 49}Adj R-squared{col 67}= {res}    0.0479
{txt}{col 49}Root MSE{col 67}= {res}    0.3830

{txt}{ralign 78:(Std. Err. adjusted for {res:187} clusters in hc_id)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1} treatqual_z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 8}t_15 {c |}{col 14}{res}{space 2} .0650948{col 26}{space 2} .0347591{col 37}{space 1}    1.87{col 46}{space 3}0.063{col 54}{space 4}-.0034781{col 67}{space 3} .1336676
{txt}{space 9}y15 {c |}{col 14}{res}{space 2}-.0233787{col 26}{space 2} .0304541{col 37}{space 1}   -0.77{col 46}{space 3}0.444{col 54}{space 4}-.0834585{col 67}{space 3} .0367012
{txt}bm_tre~l_z_d {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 1}c_tfull_hc2 {c |}{col 14}{res}{space 2}-.0596448{col 26}{space 2} .0401984{col 37}{space 1}   -1.48{col 46}{space 3}0.140{col 54}{space 4}-.1389483{col 67}{space 3} .0196586
{txt}c_tfull_b_~l {c |}{col 14}{res}{space 2} .0745571{col 26}{space 2} .0501799{col 37}{space 1}    1.49{col 46}{space 3}0.139{col 54}{space 4}-.0244378{col 67}{space 3}  .173552
{txt}c_tfull_b_~s {c |}{col 14}{res}{space 2} .0367009{col 26}{space 2} .0696302{col 37}{space 1}    0.53{col 46}{space 3}0.599{col 54}{space 4}-.1006655{col 67}{space 3} .1740673
{txt}c_tfull_bm~d {c |}{col 14}{res}{space 2}-.0192737{col 26}{space 2} .0236688{col 37}{space 1}   -0.81{col 46}{space 3}0.417{col 54}{space 4}-.0659675{col 67}{space 3} .0274202
{txt}c_tfull_bm~r {c |}{col 14}{res}{space 2}-.0019408{col 26}{space 2} .0018134{col 37}{space 1}   -1.07{col 46}{space 3}0.286{col 54}{space 4}-.0055183{col 67}{space 3} .0016368
{txt}c_tfull_bm~x {c |}{col 14}{res}{space 2} -.007823{col 26}{space 2} .0080546{col 37}{space 1}   -0.97{col 46}{space 3}0.333{col 54}{space 4}-.0237131{col 67}{space 3} .0080671
{txt}c_trea~l_hc2 {c |}{col 14}{res}{space 2}-.0489648{col 26}{space 2} .0504875{col 37}{space 1}   -0.97{col 46}{space 3}0.333{col 54}{space 4}-.1485665{col 67}{space 3} .0506369
{txt}c_treatful.. {c |}{col 14}{res}{space 2}-.0849406{col 26}{space 2} .0650035{col 37}{space 1}   -1.31{col 46}{space 3}0.193{col 54}{space 4}-.2131794{col 67}{space 3} .0432983
{txt}c_treatful.. {c |}{col 14}{res}{space 2} .0229032{col 26}{space 2} .0866985{col 37}{space 1}    0.26{col 46}{space 3}0.792{col 54}{space 4}-.1481357{col 67}{space 3} .1939421
{txt}c_treatful.. {c |}{col 14}{res}{space 2} .0374922{col 26}{space 2} .0324548{col 37}{space 1}    1.16{col 46}{space 3}0.249{col 54}{space 4}-.0265347{col 67}{space 3}  .101519
{txt}c_treatful.. {c |}{col 14}{res}{space 2} .0023792{col 26}{space 2} .0022234{col 37}{space 1}    1.07{col 46}{space 3}0.286{col 54}{space 4}-.0020072{col 67}{space 3} .0067655
{txt}c_treatful.. {c |}{col 14}{res}{space 2} .0134976{col 26}{space 2}  .011852{col 37}{space 1}    1.14{col 46}{space 3}0.256{col 54}{space 4}-.0098841{col 67}{space 3} .0368793
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} .0205246{col 26}{space 2} .0166817{col 37}{space 1}    1.23{col 46}{space 3}0.220{col 54}{space 4} -.012385{col 67}{space 3} .0534343
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)
note: bm_treatqualalt_z_d omitted because of collinearity
{res}
{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}    14,408
{txt}{col 49}F({res}  14{txt},{res}    186{txt}){col 67}= {res}      4.53
{txt}{col 49}Prob > F{col 67}= {res}    0.0000
{txt}{col 49}R-squared{col 67}= {res}    0.0404
{txt}{col 49}Adj R-squared{col 67}= {res}    0.0385
{txt}{col 49}Root MSE{col 67}= {res}    0.4877

{txt}{ralign 78:(Std. Err. adjusted for {res:187} clusters in hc_id)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}treatquala~z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 8}t_15 {c |}{col 14}{res}{space 2} .0351697{col 26}{space 2} .0273785{col 37}{space 1}    1.28{col 46}{space 3}0.201{col 54}{space 4}-.0188426{col 67}{space 3} .0891821
{txt}{space 9}y15 {c |}{col 14}{res}{space 2}-.0120558{col 26}{space 2}  .021739{col 37}{space 1}   -0.55{col 46}{space 3}0.580{col 54}{space 4}-.0549425{col 67}{space 3} .0308308
{txt}bm_tre~t_z_d {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 1}c_tfull_hc2 {c |}{col 14}{res}{space 2}-.0572822{col 26}{space 2}  .040269{col 37}{space 1}   -1.42{col 46}{space 3}0.157{col 54}{space 4}-.1367248{col 67}{space 3} .0221605
{txt}c_tfull_b_~l {c |}{col 14}{res}{space 2} .0595311{col 26}{space 2} .0463042{col 37}{space 1}    1.29{col 46}{space 3}0.200{col 54}{space 4}-.0318179{col 67}{space 3} .1508801
{txt}c_tfull_b_~s {c |}{col 14}{res}{space 2}   .07326{col 26}{space 2} .0549529{col 37}{space 1}    1.33{col 46}{space 3}0.184{col 54}{space 4}-.0351511{col 67}{space 3} .1816712
{txt}c_tfull_bm~d {c |}{col 14}{res}{space 2}-.0072122{col 26}{space 2} .0255169{col 37}{space 1}   -0.28{col 46}{space 3}0.778{col 54}{space 4} -.057552{col 67}{space 3} .0431276
{txt}c_tfull_bm~r {c |}{col 14}{res}{space 2}-.0004482{col 26}{space 2} .0019677{col 37}{space 1}   -0.23{col 46}{space 3}0.820{col 54}{space 4}  -.00433{col 67}{space 3} .0034336
{txt}c_tfull_bm~x {c |}{col 14}{res}{space 2}-.0138426{col 26}{space 2} .0079382{col 37}{space 1}   -1.74{col 46}{space 3}0.083{col 54}{space 4}-.0295032{col 67}{space 3} .0018179
{txt}c_trea~l_hc2 {c |}{col 14}{res}{space 2} -.031695{col 26}{space 2} .0460743{col 37}{space 1}   -0.69{col 46}{space 3}0.492{col 54}{space 4}-.1225904{col 67}{space 3} .0592003
{txt}c_treatful.. {c |}{col 14}{res}{space 2}-.0192472{col 26}{space 2} .0524024{col 37}{space 1}   -0.37{col 46}{space 3}0.714{col 54}{space 4}-.1226267{col 67}{space 3} .0841322
{txt}c_treatful.. {c |}{col 14}{res}{space 2}-.0492845{col 26}{space 2} .0623559{col 37}{space 1}   -0.79{col 46}{space 3}0.430{col 54}{space 4}-.1723002{col 67}{space 3} .0737313
{txt}c_treatful.. {c |}{col 14}{res}{space 2} .0323106{col 26}{space 2} .0296491{col 37}{space 1}    1.09{col 46}{space 3}0.277{col 54}{space 4}-.0261811{col 67}{space 3} .0908022
{txt}c_treatful.. {c |}{col 14}{res}{space 2} .0005858{col 26}{space 2} .0024913{col 37}{space 1}    0.24{col 46}{space 3}0.814{col 54}{space 4} -.004329{col 67}{space 3} .0055006
{txt}c_treatful.. {c |}{col 14}{res}{space 2}  .012533{col 26}{space 2} .0111813{col 37}{space 1}    1.12{col 46}{space 3}0.264{col 54}{space 4}-.0095255{col 67}{space 3} .0345915
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} .0097492{col 26}{space 2} .0119541{col 37}{space 1}    0.82{col 46}{space 3}0.416{col 54}{space 4}-.0138339{col 67}{space 3} .0333322
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)
note: bm_patsat_z_d omitted because of collinearity
{res}
{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}    14,408
{txt}{col 49}F({res}  14{txt},{res}    186{txt}){col 67}= {res}      3.83
{txt}{col 49}Prob > F{col 67}= {res}    0.0000
{txt}{col 49}R-squared{col 67}= {res}    0.0197
{txt}{col 49}Adj R-squared{col 67}= {res}    0.0177
{txt}{col 49}Root MSE{col 67}= {res}    0.6408

{txt}{ralign 78:(Std. Err. adjusted for {res:187} clusters in hc_id)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}    patsat_z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 8}t_15 {c |}{col 14}{res}{space 2} .0290441{col 26}{space 2} .0299592{col 37}{space 1}    0.97{col 46}{space 3}0.334{col 54}{space 4}-.0300595{col 67}{space 3} .0881477
{txt}{space 9}y15 {c |}{col 14}{res}{space 2} .0106829{col 26}{space 2} .0232322{col 37}{space 1}    0.46{col 46}{space 3}0.646{col 54}{space 4}-.0351496{col 67}{space 3} .0565153
{txt}bm_patsat_~d {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 1}c_tfull_hc2 {c |}{col 14}{res}{space 2} .0198491{col 26}{space 2} .0356622{col 37}{space 1}    0.56{col 46}{space 3}0.578{col 54}{space 4}-.0505053{col 67}{space 3} .0902035
{txt}c_tfull_b_~l {c |}{col 14}{res}{space 2} .0475284{col 26}{space 2} .0447622{col 37}{space 1}    1.06{col 46}{space 3}0.290{col 54}{space 4}-.0407784{col 67}{space 3} .1358353
{txt}c_tfull_b_~s {c |}{col 14}{res}{space 2} .0794119{col 26}{space 2} .0455721{col 37}{space 1}    1.74{col 46}{space 3}0.083{col 54}{space 4}-.0104928{col 67}{space 3} .1693165
{txt}c_tfull_bm~d {c |}{col 14}{res}{space 2}-.0373822{col 26}{space 2}  .025165{col 37}{space 1}   -1.49{col 46}{space 3}0.139{col 54}{space 4}-.0870276{col 67}{space 3} .0122633
{txt}c_tfull_bm~r {c |}{col 14}{res}{space 2} -.001335{col 26}{space 2} .0021208{col 37}{space 1}   -0.63{col 46}{space 3}0.530{col 54}{space 4}-.0055189{col 67}{space 3} .0028489
{txt}c_tfull_bm~x {c |}{col 14}{res}{space 2} .0329416{col 26}{space 2} .0090401{col 37}{space 1}    3.64{col 46}{space 3}0.000{col 54}{space 4} .0151072{col 67}{space 3} .0507759
{txt}c_trea~l_hc2 {c |}{col 14}{res}{space 2} -.053198{col 26}{space 2} .0556437{col 37}{space 1}   -0.96{col 46}{space 3}0.340{col 54}{space 4}-.1629719{col 67}{space 3} .0565758
{txt}c_treatful.. {c |}{col 14}{res}{space 2}-.0651252{col 26}{space 2} .0610127{col 37}{space 1}   -1.07{col 46}{space 3}0.287{col 54}{space 4}-.1854912{col 67}{space 3} .0552407
{txt}c_treatful.. {c |}{col 14}{res}{space 2} -.039769{col 26}{space 2} .0576751{col 37}{space 1}   -0.69{col 46}{space 3}0.491{col 54}{space 4}-.1535505{col 67}{space 3} .0740124
{txt}c_treatful.. {c |}{col 14}{res}{space 2} .1158416{col 26}{space 2}  .036519{col 37}{space 1}    3.17{col 46}{space 3}0.002{col 54}{space 4} .0437968{col 67}{space 3} .1878864
{txt}c_treatful.. {c |}{col 14}{res}{space 2} .0043976{col 26}{space 2} .0029189{col 37}{space 1}    1.51{col 46}{space 3}0.134{col 54}{space 4}-.0013609{col 67}{space 3} .0101561
{txt}c_treatful.. {c |}{col 14}{res}{space 2}-.0040766{col 26}{space 2} .0135367{col 37}{space 1}   -0.30{col 46}{space 3}0.764{col 54}{space 4}-.0307818{col 67}{space 3} .0226286
{txt}{space 7}_cons {c |}{col 14}{res}{space 2}-.0084041{col 26}{space 2} .0147893{col 37}{space 1}   -0.57{col 46}{space 3}0.571{col 54}{space 4}-.0375804{col 67}{space 3} .0207721
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)
note: bm_commtg_z_d omitted because of collinearity
{res}
{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}    14,408
{txt}{col 49}F({res}  14{txt},{res}    186{txt}){col 67}= {res}      2.50
{txt}{col 49}Prob > F{col 67}= {res}    0.0028
{txt}{col 49}R-squared{col 67}= {res}    0.0376
{txt}{col 49}Adj R-squared{col 67}= {res}    0.0357
{txt}{col 49}Root MSE{col 67}= {res}    0.6265

{txt}{ralign 78:(Std. Err. adjusted for {res:187} clusters in hc_id)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}    commtg_z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 8}t_15 {c |}{col 14}{res}{space 2} .0209819{col 26}{space 2} .0265883{col 37}{space 1}    0.79{col 46}{space 3}0.431{col 54}{space 4}-.0314716{col 67}{space 3} .0734353
{txt}{space 9}y15 {c |}{col 14}{res}{space 2}-.0272058{col 26}{space 2} .0272798{col 37}{space 1}   -1.00{col 46}{space 3}0.320{col 54}{space 4}-.0810235{col 67}{space 3} .0266119
{txt}bm_commtg_~d {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 1}c_tfull_hc2 {c |}{col 14}{res}{space 2} .1374428{col 26}{space 2} .0480218{col 37}{space 1}    2.86{col 46}{space 3}0.005{col 54}{space 4} .0427054{col 67}{space 3} .2321802
{txt}c_tfull_b_~l {c |}{col 14}{res}{space 2} .0128943{col 26}{space 2} .0614964{col 37}{space 1}    0.21{col 46}{space 3}0.834{col 54}{space 4}-.1084257{col 67}{space 3} .1342144
{txt}c_tfull_b_~s {c |}{col 14}{res}{space 2}-.0338942{col 26}{space 2}   .07614{col 37}{space 1}   -0.45{col 46}{space 3}0.657{col 54}{space 4}-.1841032{col 67}{space 3} .1163148
{txt}c_tfull_bm~d {c |}{col 14}{res}{space 2}  .034613{col 26}{space 2} .0324914{col 37}{space 1}    1.07{col 46}{space 3}0.288{col 54}{space 4}-.0294861{col 67}{space 3} .0987122
{txt}c_tfull_bm~r {c |}{col 14}{res}{space 2}-.0009437{col 26}{space 2} .0019587{col 37}{space 1}   -0.48{col 46}{space 3}0.631{col 54}{space 4}-.0048079{col 67}{space 3} .0029205
{txt}c_tfull_bm~x {c |}{col 14}{res}{space 2}-.0034085{col 26}{space 2} .0123409{col 37}{space 1}   -0.28{col 46}{space 3}0.783{col 54}{space 4}-.0277545{col 67}{space 3} .0209376
{txt}c_trea~l_hc2 {c |}{col 14}{res}{space 2}-.0489921{col 26}{space 2} .0591165{col 37}{space 1}   -0.83{col 46}{space 3}0.408{col 54}{space 4}-.1656171{col 67}{space 3} .0676329
{txt}c_treatful.. {c |}{col 14}{res}{space 2} -.024767{col 26}{space 2} .0692948{col 37}{space 1}   -0.36{col 46}{space 3}0.721{col 54}{space 4}-.1614718{col 67}{space 3} .1119377
{txt}c_treatful.. {c |}{col 14}{res}{space 2} .0830707{col 26}{space 2} .0787794{col 37}{space 1}    1.05{col 46}{space 3}0.293{col 54}{space 4}-.0723453{col 67}{space 3} .2384868
{txt}c_treatful.. {c |}{col 14}{res}{space 2} .0285416{col 26}{space 2} .0419603{col 37}{space 1}    0.68{col 46}{space 3}0.497{col 54}{space 4}-.0542377{col 67}{space 3} .1113209
{txt}c_treatful.. {c |}{col 14}{res}{space 2} .0015771{col 26}{space 2} .0031102{col 37}{space 1}    0.51{col 46}{space 3}0.613{col 54}{space 4}-.0045587{col 67}{space 3} .0077129
{txt}c_treatful.. {c |}{col 14}{res}{space 2} .0226321{col 26}{space 2} .0174579{col 37}{space 1}    1.30{col 46}{space 3}0.196{col 54}{space 4}-.0118089{col 67}{space 3} .0570732
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} .0269707{col 26}{space 2} .0203018{col 37}{space 1}    1.33{col 46}{space 3}0.186{col 54}{space 4}-.0130807{col 67}{space 3}  .067022
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{com}.                 
.         eststo clear
{txt}
{com}.         
.         foreach x in `indices_hc' {c -(}
{txt}  2{com}.                 areg `x' t_15 y15 `m_controls_tfull_hc' ``var'_hc_int_m_controls' if uniquehc == 1, robust a(district)
{txt}  3{com}.                 local n_dd_`x' = string(`e(N)',"%9.0fc")
{txt}  4{com}.                 local b_dd_`x' = string(_b[t_15],"%9.3fc")
{txt}  5{com}.                 local se_dd_`x' =string(_se[t_15],"%9.3fc")
{txt}  6{com}.                 local p_dd_`x' = (2 * ttail(e(df_r), abs(_b[t_15]/_se[t_15])))
{txt}  7{com}.                         
.                 if `p_dd_`x'' <= 0.1 & `p_dd_`x'' > 0.05{c -(}
{txt}  8{com}.                         local b_dd_`x' `b_dd_`x''*
{txt}  9{com}.                 {c )-}
{txt} 10{com}.         
.                 if `p_dd_`x'' <= 0.05 & `p_dd_`x'' > 0.01{c -(}
{txt} 11{com}.                         local b_dd_`x' `b_dd_`x''**
{txt} 12{com}.                 {c )-}
{txt} 13{com}.                 
.                 if `p_dd_`x'' <= 0.01 & `p_dd_`x'' > 0 {c -(}
{txt} 14{com}.                         local b_dd_`x' `b_dd_`x''***
{txt} 15{com}.                 {c )-}
{txt} 16{com}.                 
.                 local csb_dd_`x' = string(_b[_cons],"%9.3fc")
{txt} 17{com}.                 local csse_dd_`x' =string(_se[_cons],"%9.3fc")
{txt} 18{com}.                 local p_dd_`x' = (2 * ttail(e(df_r), abs(_b[_cons]/_se[_cons])))
{txt} 19{com}.                         
.                 if `p_dd_`x'' <= 0.1 & `p_dd_`x'' > 0.05{c -(}
{txt} 20{com}.                         local csb_dd_`x' `csb_dd_`x''*
{txt} 21{com}.                 {c )-}
{txt} 22{com}.         
.                 if `p_dd_`x'' <= 0.05 & `p_dd_`x'' > 0.01{c -(}
{txt} 23{com}.                         local csb_dd_`x' `csb_dd_`x''**
{txt} 24{com}.                 {c )-}
{txt} 25{com}.                 
.                 if `p_dd_`x'' <= 0.01 & `p_dd_`x'' > 0 {c -(}
{txt} 26{com}.                         local csb_dd_`x' `csb_dd_`x''***
{txt} 27{com}.                 {c )-}
{txt} 28{com}.                 
.                 {c )-}
{res}
{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}       374
{txt}{col 49}F({res}  14{txt},{res}    344{txt}){col 67}= {res}      0.56
{txt}{col 49}Prob > F{col 67}= {res}    0.8922
{txt}{col 49}R-squared{col 67}= {res}    0.0876
{txt}{col 49}Adj R-squared{col 67}= {res}    0.0106
{txt}{col 49}Root MSE{col 67}= {res}    0.0668

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1} mortrate_05{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 8}t_15 {c |}{col 14}{res}{space 2}-.0114114{col 26}{space 2} .0100835{col 37}{space 1}   -1.13{col 46}{space 3}0.259{col 54}{space 4}-.0312445{col 67}{space 3} .0084217
{txt}{space 9}y15 {c |}{col 14}{res}{space 2} .0106229{col 26}{space 2} .0086836{col 37}{space 1}    1.22{col 46}{space 3}0.222{col 54}{space 4}-.0064568{col 67}{space 3} .0277025
{txt}c_tful~c_hc2 {c |}{col 14}{res}{space 2} .0130944{col 26}{space 2} .0132625{col 37}{space 1}    0.99{col 46}{space 3}0.324{col 54}{space 4}-.0129914{col 67}{space 3} .0391801
{txt}c_tfull_hc~l {c |}{col 14}{res}{space 2} .0070036{col 26}{space 2} .0174442{col 37}{space 1}    0.40{col 46}{space 3}0.688{col 54}{space 4}-.0273072{col 67}{space 3} .0413143
{txt}c_tfull_hc~s {c |}{col 14}{res}{space 2} .0076122{col 26}{space 2} .0180104{col 37}{space 1}    0.42{col 46}{space 3}0.673{col 54}{space 4}-.0278123{col 67}{space 3} .0430366
{txt}c_tfull_hc~d {c |}{col 14}{res}{space 2} .0175245{col 26}{space 2} .0446178{col 37}{space 1}    0.39{col 46}{space 3}0.695{col 54}{space 4}-.0702335{col 67}{space 3} .1052825
{txt}c_tfull_hc~r {c |}{col 14}{res}{space 2}-.0037226{col 26}{space 2} .0058348{col 37}{space 1}   -0.64{col 46}{space 3}0.524{col 54}{space 4}-.0151989{col 67}{space 3} .0077537
{txt}c_tfull_hc~x {c |}{col 14}{res}{space 2} .0036302{col 26}{space 2}  .018627{col 37}{space 1}    0.19{col 46}{space 3}0.846{col 54}{space 4} -.033007{col 67}{space 3} .0402673
{txt}c_trea~c_hc2 {c |}{col 14}{res}{space 2}-.0037426{col 26}{space 2} .0164764{col 37}{space 1}   -0.23{col 46}{space 3}0.820{col 54}{space 4}-.0361498{col 67}{space 3} .0286647
{txt}c_treatful.. {c |}{col 14}{res}{space 2}-.0075871{col 26}{space 2} .0211828{col 37}{space 1}   -0.36{col 46}{space 3}0.720{col 54}{space 4}-.0492513{col 67}{space 3} .0340772
{txt}c_treatful.. {c |}{col 14}{res}{space 2}-.0059513{col 26}{space 2}  .025139{col 37}{space 1}   -0.24{col 46}{space 3}0.813{col 54}{space 4}-.0553967{col 67}{space 3} .0434942
{txt}c_treatful.. {c |}{col 14}{res}{space 2}-.0113813{col 26}{space 2} .0878227{col 37}{space 1}   -0.13{col 46}{space 3}0.897{col 54}{space 4}-.1841183{col 67}{space 3} .1613557
{txt}c_treatful.. {c |}{col 14}{res}{space 2}-.0036995{col 26}{space 2} .0079971{col 37}{space 1}   -0.46{col 46}{space 3}0.644{col 54}{space 4}-.0194288{col 67}{space 3} .0120299
{txt}c_treatful.. {c |}{col 14}{res}{space 2} .0028218{col 26}{space 2} .0231383{col 37}{space 1}    0.12{col 46}{space 3}0.903{col 54}{space 4}-.0426887{col 67}{space 3} .0483322
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} .0447319{col 26}{space 2} .0047826{col 37}{space 1}    9.35{col 46}{space 3}0.000{col 54}{space 4} .0353251{col 67}{space 3} .0541388
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)
{res}
{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}       374
{txt}{col 49}F({res}  14{txt},{res}    344{txt}){col 67}= {res}      0.70
{txt}{col 49}Prob > F{col 67}= {res}    0.7711
{txt}{col 49}R-squared{col 67}= {res}    0.0835
{txt}{col 49}Adj R-squared{col 67}= {res}    0.0062
{txt}{col 49}Root MSE{col 67}= {res}    0.8078

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}h_ctzpress~z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 8}t_15 {c |}{col 14}{res}{space 2}-.1247653{col 26}{space 2} .1258818{col 37}{space 1}   -0.99{col 46}{space 3}0.322{col 54}{space 4}-.3723602{col 67}{space 3} .1228297
{txt}{space 9}y15 {c |}{col 14}{res}{space 2}-.0513785{col 26}{space 2} .0985499{col 37}{space 1}   -0.52{col 46}{space 3}0.602{col 54}{space 4}-.2452147{col 67}{space 3} .1424577
{txt}c_tful~c_hc2 {c |}{col 14}{res}{space 2} .0692359{col 26}{space 2} .1416714{col 37}{space 1}    0.49{col 46}{space 3}0.625{col 54}{space 4}-.2094154{col 67}{space 3} .3478872
{txt}c_tfull_hc~l {c |}{col 14}{res}{space 2} .2580878{col 26}{space 2} .1904447{col 37}{space 1}    1.36{col 46}{space 3}0.176{col 54}{space 4}-.1164949{col 67}{space 3} .6326704
{txt}c_tfull_hc~s {c |}{col 14}{res}{space 2}-.1081927{col 26}{space 2} .1966219{col 37}{space 1}   -0.55{col 46}{space 3}0.582{col 54}{space 4}-.4949252{col 67}{space 3} .2785397
{txt}c_tfull_hc~d {c |}{col 14}{res}{space 2}-.2207191{col 26}{space 2} .6097521{col 37}{space 1}   -0.36{col 46}{space 3}0.718{col 54}{space 4}-1.420031{col 67}{space 3} .9785926
{txt}c_tfull_hc~r {c |}{col 14}{res}{space 2}-.1017393{col 26}{space 2} .0620348{col 37}{space 1}   -1.64{col 46}{space 3}0.102{col 54}{space 4}-.2237545{col 67}{space 3}  .020276
{txt}c_tfull_hc~x {c |}{col 14}{res}{space 2} .3649769{col 26}{space 2} .1951003{col 37}{space 1}    1.87{col 46}{space 3}0.062{col 54}{space 4}-.0187628{col 67}{space 3} .7487165
{txt}c_trea~c_hc2 {c |}{col 14}{res}{space 2}-.1668886{col 26}{space 2} .1984988{col 37}{space 1}   -0.84{col 46}{space 3}0.401{col 54}{space 4}-.5573126{col 67}{space 3} .2235355
{txt}c_treatful.. {c |}{col 14}{res}{space 2}-.4549125{col 26}{space 2} .2553193{col 37}{space 1}   -1.78{col 46}{space 3}0.076{col 54}{space 4}-.9570959{col 67}{space 3} .0472709
{txt}c_treatful.. {c |}{col 14}{res}{space 2} .2102261{col 26}{space 2} .2532986{col 37}{space 1}    0.83{col 46}{space 3}0.407{col 54}{space 4}-.2879828{col 67}{space 3} .7084351
{txt}c_treatful.. {c |}{col 14}{res}{space 2} .2745264{col 26}{space 2} .9484492{col 37}{space 1}    0.29{col 46}{space 3}0.772{col 54}{space 4}-1.590963{col 67}{space 3} 2.140016
{txt}c_treatful.. {c |}{col 14}{res}{space 2} .0206049{col 26}{space 2} .0972431{col 37}{space 1}    0.21{col 46}{space 3}0.832{col 54}{space 4} -.170661{col 67}{space 3} .2118707
{txt}c_treatful.. {c |}{col 14}{res}{space 2}-.0460404{col 26}{space 2}  .283162{col 37}{space 1}   -0.16{col 46}{space 3}0.871{col 54}{space 4}-.6029871{col 67}{space 3} .5109064
{txt}{space 7}_cons {c |}{col 14}{res}{space 2}  .040551{col 26}{space 2} .0545819{col 37}{space 1}    0.74{col 46}{space 3}0.458{col 54}{space 4}-.0668053{col 67}{space 3} .1479073
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{com}.         
. 
.         * Health outcome
.         
.         * We load the dataset. This is the light version
.         
.         use "${c -(}usedata{c )-}/healthoutcome_midline_ind.dta", clear
{txt}
{com}.         
.         * In this part, we regress the outcomes over the full treatment vs control
.         
.         local var treatfull
{txt}
{com}.         
.         local x healthoutcome_z
{txt}
{com}.         
.         * At midline:
.         
.         **************
.         * No control *
.         **************
.         
.         eststo clear
{txt}
{com}. 
.                 areg  m_`x' `var' b_`x', robust cl(hc_id) a(district)

{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}     5,337
{txt}{col 49}F({res}   2{txt},{res}    186{txt}){col 67}= {res}    119.70
{txt}{col 49}Prob > F{col 67}= {res}    0.0000
{txt}{col 49}R-squared{col 67}= {res}    0.0749
{txt}{col 49}Adj R-squared{col 67}= {res}    0.0720
{txt}{col 49}Root MSE{col 67}= {res}    0.9486

{txt}{ralign 78:(Std. Err. adjusted for {res:187} clusters in hc_id)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}m_healthou~z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2} .0209456{col 26}{space 2}  .027962{col 37}{space 1}    0.75{col 46}{space 3}0.455{col 54}{space 4}-.0342179{col 67}{space 3}  .076109
{txt}b_healthou~z {c |}{col 14}{res}{space 2} .2717968{col 26}{space 2}  .017739{col 37}{space 1}   15.32{col 46}{space 3}0.000{col 54}{space 4} .2368012{col 67}{space 3} .3067924
{txt}{space 7}_cons {c |}{col 14}{res}{space 2}  .000242{col 26}{space 2} .0197411{col 37}{space 1}    0.01{col 46}{space 3}0.990{col 54}{space 4}-.0387032{col 67}{space 3} .0391872
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{com}.                 local n_nocon_`x' = string(`e(N)',"%9.0fc")
{txt}
{com}.                 local b_nocon_`x' = string(_b[treatfull],"%9.3fc")
{txt}
{com}.                 local se_nocon_`x' =string(_se[treatfull],"%9.3fc")
{txt}
{com}.                 local p_nocon_`x' = (2 * ttail(e(df_r), abs(_b[treatfull]/_se[treatfull])))
{txt}
{com}.                         
.                 if `p_nocon_`x'' <= 0.1 & `p_nocon_`x'' > 0.05{c -(}
.                         local b_nocon_`x' `b_nocon_`x''*
.                 {c )-}
{txt}
{com}.         
.                 if `p_nocon_`x'' <= 0.05 & `p_nocon_`x'' > 0.01{c -(}
.                         local b_nocon_`x' `b_nocon_`x''**
.                 {c )-}
{txt}
{com}.                 
.                 if `p_nocon_`x'' <= 0.01 & `p_nocon_`x'' > 0 {c -(}
.                         local b_nocon_`x' `b_nocon_`x''***
.                 {c )-}
{txt}
{com}.                 
.                 local csb_nocon_`x' = string(_b[_cons],"%9.3fc")
{txt}
{com}.                 local csse_nocon_`x' =string(_se[_cons],"%9.3fc")
{txt}
{com}.                 local p_nocon_`x' = (2 * ttail(e(df_r), abs(_b[_cons]/_se[_cons])))
{txt}
{com}.                         
.                 if `p_nocon_`x'' <= 0.1 & `p_nocon_`x'' > 0.05{c -(}
.                         local csb_nocon_`x' `csb_nocon_`x''*
.                 {c )-}
{txt}
{com}.         
.                 if `p_nocon_`x'' <= 0.05 & `p_nocon_`x'' > 0.01{c -(}
.                         local csb_nocon_`x' `csb_nocon_`x''**
.                 {c )-}
{txt}
{com}.                 
.                 if `p_nocon_`x'' <= 0.01 & `p_nocon_`x'' > 0 {c -(}
.                         local csb_nocon_`x' `csb_nocon_`x''***
.                 {c )-}
{txt}
{com}.                 
.         
.         *********
.         * No FE *
.         *********
.         
.         * We define the control variable
.         
.         local  m_controls_noprefix hc2 b_h_del b_h_staff_houses bm_visited_d bm_educyr bm_assetindex
{txt}
{com}.                 
.         foreach x in m_ {c -(}
{txt}  2{com}.         
.                 local `x'controls_tfull
{txt}  3{com}.                 
.                 {c )-}
{txt}
{com}.                 
.         foreach x in m_ {c -(}
{txt}  2{com}.                 foreach var in treatfull {c -(}
{txt}  3{com}.                         local `var'_int_`x'controls
{txt}  4{com}.                                                 {c )-}
{txt}  5{com}.                 {c )-}
{txt}
{com}.                 
.         foreach var of local m_controls_noprefix {c -(}
{txt}  2{com}.                 local m_controls_tfull `m_controls_tfull' c_tfull_`var'
{txt}  3{com}.                         {c )-}       
{txt}
{com}.                                 
.         foreach treat in treatfull {c -(}
{txt}  2{com}.                 foreach var of local m_controls_noprefix {c -(}
{txt}  3{com}.                         local `treat'_int_m_controls ``treat'_int_m_controls' c_`treat'_`var'
{txt}  4{com}.                                 {c )-}
{txt}  5{com}.                 {c )-}
{txt}
{com}.         
.         
.         local var treatfull
{txt}
{com}.         
.         local x healthoutcome_z
{txt}
{com}.         
.         eststo clear
{txt}
{com}.         
.                 reg  m_`x' `var' b_`x' `m_controls_tfull' ``var'_int_m_controls', cl(hc_id) robust

{txt}Linear regression                               Number of obs     = {res}     5,337
                                                {txt}F(14, 186)        =  {res}    19.63
                                                {txt}Prob > F          = {res}    0.0000
                                                {txt}R-squared         = {res}    0.0736
                                                {txt}Root MSE          =    {res} .94897

{txt}{ralign 78:(Std. Err. adjusted for {res:187} clusters in hc_id)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}m_healthou~z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2} .0209715{col 26}{space 2} .0285709{col 37}{space 1}    0.73{col 46}{space 3}0.464{col 54}{space 4}-.0353932{col 67}{space 3} .0773362
{txt}b_healthou~z {c |}{col 14}{res}{space 2} .2695369{col 26}{space 2} .0173427{col 37}{space 1}   15.54{col 46}{space 3}0.000{col 54}{space 4} .2353233{col 67}{space 3} .3037506
{txt}{space 1}c_tfull_hc2 {c |}{col 14}{res}{space 2}-.0475937{col 26}{space 2} .0450964{col 37}{space 1}   -1.06{col 46}{space 3}0.293{col 54}{space 4}-.1365598{col 67}{space 3} .0413724
{txt}c_tfull_b_~l {c |}{col 14}{res}{space 2} .0177744{col 26}{space 2} .0563419{col 37}{space 1}    0.32{col 46}{space 3}0.753{col 54}{space 4} -.093377{col 67}{space 3} .1289258
{txt}c_tfull_b_~s {c |}{col 14}{res}{space 2}-.0897278{col 26}{space 2} .0608462{col 37}{space 1}   -1.47{col 46}{space 3}0.142{col 54}{space 4}-.2097653{col 67}{space 3} .0303096
{txt}c_tfull_bm~d {c |}{col 14}{res}{space 2} .0526258{col 26}{space 2} .0735947{col 37}{space 1}    0.72{col 46}{space 3}0.475{col 54}{space 4}-.0925618{col 67}{space 3} .1978133
{txt}c_tfull_bm~r {c |}{col 14}{res}{space 2}-.0036832{col 26}{space 2} .0054547{col 37}{space 1}   -0.68{col 46}{space 3}0.500{col 54}{space 4}-.0144443{col 67}{space 3} .0070779
{txt}c_tfull_bm~x {c |}{col 14}{res}{space 2} .0383983{col 26}{space 2} .0181199{col 37}{space 1}    2.12{col 46}{space 3}0.035{col 54}{space 4} .0026514{col 67}{space 3} .0741452
{txt}c_trea~l_hc2 {c |}{col 14}{res}{space 2} .0758717{col 26}{space 2} .0665123{col 37}{space 1}    1.14{col 46}{space 3}0.255{col 54}{space 4}-.0553438{col 67}{space 3} .2070872
{txt}c_treatful.. {c |}{col 14}{res}{space 2}-.0560971{col 26}{space 2} .0738896{col 37}{space 1}   -0.76{col 46}{space 3}0.449{col 54}{space 4}-.2018665{col 67}{space 3} .0896724
{txt}c_treatful.. {c |}{col 14}{res}{space 2} .0970802{col 26}{space 2} .0784465{col 37}{space 1}    1.24{col 46}{space 3}0.217{col 54}{space 4}-.0576792{col 67}{space 3} .2518395
{txt}c_treatful.. {c |}{col 14}{res}{space 2}-.1130275{col 26}{space 2} .1093663{col 37}{space 1}   -1.03{col 46}{space 3}0.303{col 54}{space 4}-.3287853{col 67}{space 3} .1027303
{txt}c_treatful.. {c |}{col 14}{res}{space 2} .0078695{col 26}{space 2} .0070025{col 37}{space 1}    1.12{col 46}{space 3}0.263{col 54}{space 4} -.005945{col 67}{space 3} .0216841
{txt}c_treatful.. {c |}{col 14}{res}{space 2}-.0272023{col 26}{space 2}  .026989{col 37}{space 1}   -1.01{col 46}{space 3}0.315{col 54}{space 4}-.0804462{col 67}{space 3} .0260417
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} -.000451{col 26}{space 2} .0203081{col 37}{space 1}   -0.02{col 46}{space 3}0.982{col 54}{space 4}-.0405147{col 67}{space 3} .0396128
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}.                 local n_nofe_`x' = string(`e(N)',"%9.0fc")
{txt}
{com}.                 local b_nofe_`x' = string(_b[treatfull],"%9.3fc")
{txt}
{com}.                 local se_nofe_`x' =string(_se[treatfull],"%9.3fc")
{txt}
{com}.                 local p_nofe_`x' = (2 * ttail(e(df_r), abs(_b[treatfull]/_se[treatfull])))
{txt}
{com}.                         
.                 if `p_nofe_`x'' <= 0.1 & `p_nofe_`x'' > 0.05{c -(}
.                         local b_nofe_`x' `b_nofe_`x''*
.                 {c )-}
{txt}
{com}.         
.                 if `p_nofe_`x'' <= 0.05 & `p_nofe_`x'' > 0.01{c -(}
.                         local b_nofe_`x' `b_nofe_`x''**
.                 {c )-}
{txt}
{com}.                 
.                 if `p_nofe_`x'' <= 0.01 & `p_nofe_`x'' > 0 {c -(}
.                         local b_nofe_`x' `b_nofe_`x''***
.                 {c )-}
{txt}
{com}.                 
.                 local csb_nofe_`x' = string(_b[_cons],"%9.3fc")
{txt}
{com}.                 local csse_nofe_`x' =string(_se[_cons],"%9.3fc")
{txt}
{com}.                 local p_nofe_`x' = (2 * ttail(e(df_r), abs(_b[_cons]/_se[_cons])))
{txt}
{com}.                         
.                 if `p_nofe_`x'' <= 0.1 & `p_nofe_`x'' > 0.05{c -(}
.                         local csb_nofe_`x' `csb_nofe_`x''*
.                 {c )-}
{txt}
{com}.         
.                 if `p_nofe_`x'' <= 0.05 & `p_nofe_`x'' > 0.01{c -(}
.                         local csb_nofe_`x' `csb_nofe_`x''**
.                 {c )-}
{txt}
{com}.                 
.                 if `p_nofe_`x'' <= 0.01 & `p_nofe_`x'' > 0 {c -(}
.                         local csb_nofe_`x' `csb_nofe_`x''***
.                 {c )-}
{txt}
{com}.                 
.                 
.         *************************
.         * Agregated at HC level *
.         *************************
.         
.         preserve
{txt}
{com}.         
.         * Our first step is to create the mean at HC level
.         
.         byso hc_id : egen tmean_m_`x' = mean(m_`x') 
{txt}
{com}.         byso hc_id : egen mean_m_`x' = max(tmean_m_`x')
{txt}
{com}.         
.         byso hc_id : egen tmean_b_`x' = mean(b_`x')
{txt}
{com}.         byso hc_id : egen mean_b_`x' = max(tmean_b_`x')
{txt}
{com}.         
.         drop tmean_*
{txt}
{com}.         
.         * We create unique hh as we are at child level
.         
.         byso hh_id: gen count = _n
{txt}
{com}.         
.         * We need to do the same at hc level
.         
.         local controls hc2 b_h_del b_h_staff_houses bm_visited_d bm_educyr bm_assetindex
{txt}
{com}.         
.         * We will remove the mean from the control variable
.         
.         * Full treatment (we don't need to create a midline presence as we only have household with children)
. 
.         foreach var of local controls {c -(}
{txt}  2{com}.                 byso hc_id: egen temp_mean_`var' = mean(`var') if treatfull != . & count == 1
{txt}  3{com}.                 byso hc_id: egen t_mean_`var' = max(temp_mean_`var') if treatfull != .
{txt}  4{com}.                 qui sum t_mean_`var' if treatfull != . & uniquehc == 1
{txt}  5{com}.                 gen c_tfull_hc_`var' = t_mean_`var' - `r(mean)'
{txt}  6{com}.                 lab var c_tfull_hc_`var' "Control variable of `var' minus its mean in the full treatment at hc level"
{txt}  7{com}.                 drop t_mean_`var' temp_mean_`var'
{txt}  8{com}.                 {c )-}
{txt}(12542 missing values generated)
(9384 missing values generated)
(9,384 missing values generated)
(12542 missing values generated)
(9384 missing values generated)
(9,384 missing values generated)
(12542 missing values generated)
(9384 missing values generated)
(9,384 missing values generated)
note: label truncated to 80 characters
(12542 missing values generated)
(9384 missing values generated)
(9,384 missing values generated)
note: label truncated to 80 characters
(12542 missing values generated)
(9384 missing values generated)
(9,384 missing values generated)
(12542 missing values generated)
(9384 missing values generated)
(9,384 missing values generated)
note: label truncated to 80 characters

{com}.                 
.         drop count
{txt}
{com}.         
.         * Full treatment
.         
.         foreach x of local controls {c -(}
{txt}  2{com}.                         gen c_treatfull_hc_`x' = treatfull * c_tfull_hc_`x'
{txt}  3{com}.                         lab var c_treatfull_hc_`x' "Interaction term of contral variable `x' with treatment at hc level"
{txt}  4{com}.                         {c )-}
{txt}(9,384 missing values generated)
(9,384 missing values generated)
(9,384 missing values generated)
(9,384 missing values generated)
(9,384 missing values generated)
(9,384 missing values generated)

{com}.                         
.         * We take care of duplicates 
.         
.         duplicates drop hh_id uniquehc, force

{p 0 4}{txt}Duplicates in terms of {res} hh_id uniquehc{p_end}

{txt}(6,342 observations deleted)

{com}.         
.         drop uniquehc 
{txt}
{com}.         
.         egen uniquehc = tag(hc_id) if midline_presence == 1
{txt}
{com}.         recode uniquehc(.=0)
{txt}(uniquehc: 0 changes made)

{com}.         lab var uniquehc "Unique HC"
{txt}
{com}.         
.         * We local the variable
.         
.         foreach x in m_ {c -(}
{txt}  2{com}.         
.                 local `x'controls_tfull_hc
{txt}  3{com}.                 
.                 {c )-}
{txt}
{com}.                 
.         foreach x in m_ {c -(}
{txt}  2{com}.                 foreach var in treatfull {c -(}
{txt}  3{com}.                         local `var'_hc_int_`x'controls
{txt}  4{com}.                         {c )-}
{txt}  5{com}.                 {c )-}
{txt}
{com}.                 
.         foreach var of local m_controls_noprefix {c -(}
{txt}  2{com}.                 local m_controls_tfull_hc `m_controls_tfull_hc' c_tfull_hc_`var'
{txt}  3{com}.                 {c )-}       
{txt}
{com}.                                 
.         foreach treat in treatfull {c -(}
{txt}  2{com}.                 foreach var of local m_controls_noprefix {c -(}
{txt}  3{com}.                         local `treat'_hc_int_m_controls ``treat'_hc_int_m_controls' c_`treat'_hc_`var'
{txt}  4{com}.                         {c )-}
{txt}  5{com}.                 {c )-}
{txt}
{com}.         
.         local var treatfull
{txt}
{com}.         
.         local x healthoutcome_z
{txt}
{com}.         
.         eststo clear
{txt}
{com}.         
.                 areg  mean_m_`x' `var' mean_b_`x' `m_controls_tfull_hc' ``var'_hc_int_m_controls' if uniquehc == 1, robust a(district)
{res}
{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}       187
{txt}{col 49}F({res}  14{txt},{res}    157{txt}){col 67}= {res}      0.86
{txt}{col 49}Prob > F{col 67}= {res}    0.6007
{txt}{col 49}R-squared{col 67}= {res}    0.1390
{txt}{col 49}Adj R-squared{col 67}= {res}   -0.0200
{txt}{col 49}Root MSE{col 67}= {res}    0.1873

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}mean_m_hea~z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2} .0230649{col 26}{space 2}  .027538{col 37}{space 1}    0.84{col 46}{space 3}0.404{col 54}{space 4}-.0313278{col 67}{space 3} .0774575
{txt}mean_b_hea~z {c |}{col 14}{res}{space 2} .0284523{col 26}{space 2} .0530112{col 37}{space 1}    0.54{col 46}{space 3}0.592{col 54}{space 4}-.0762549{col 67}{space 3} .1331595
{txt}c_tful~c_hc2 {c |}{col 14}{res}{space 2}-.0308243{col 26}{space 2} .0531641{col 37}{space 1}   -0.58{col 46}{space 3}0.563{col 54}{space 4}-.1358335{col 67}{space 3} .0741848
{txt}c_tfull_hc~l {c |}{col 14}{res}{space 2} .0100604{col 26}{space 2} .0654234{col 37}{space 1}    0.15{col 46}{space 3}0.878{col 54}{space 4}-.1191631{col 67}{space 3}  .139284
{txt}c_tfull_hc~s {c |}{col 14}{res}{space 2}-.0538367{col 26}{space 2} .0704754{col 37}{space 1}   -0.76{col 46}{space 3}0.446{col 54}{space 4}-.1930389{col 67}{space 3} .0853655
{txt}c_tfull_hc~d {c |}{col 14}{res}{space 2} .0504549{col 26}{space 2} .1787688{col 37}{space 1}    0.28{col 46}{space 3}0.778{col 54}{space 4}-.3026473{col 67}{space 3} .4035572
{txt}c_tfull_hc~r {c |}{col 14}{res}{space 2}-.0088368{col 26}{space 2}  .020099{col 37}{space 1}   -0.44{col 46}{space 3}0.661{col 54}{space 4} -.048536{col 67}{space 3} .0308625
{txt}c_tfull_hc~x {c |}{col 14}{res}{space 2} .0777685{col 26}{space 2} .0590184{col 37}{space 1}    1.32{col 46}{space 3}0.190{col 54}{space 4}-.0388039{col 67}{space 3} .1943409
{txt}c_trea~c_hc2 {c |}{col 14}{res}{space 2} .0637128{col 26}{space 2}  .066467{col 37}{space 1}    0.96{col 46}{space 3}0.339{col 54}{space 4}-.0675721{col 67}{space 3} .1949977
{txt}c_treatful.. {c |}{col 14}{res}{space 2}-.0048358{col 26}{space 2} .0819915{col 37}{space 1}   -0.06{col 46}{space 3}0.953{col 54}{space 4}-.1667845{col 67}{space 3} .1571128
{txt}c_treatful.. {c |}{col 14}{res}{space 2} .1191781{col 26}{space 2} .0900888{col 37}{space 1}    1.32{col 46}{space 3}0.188{col 54}{space 4}-.0587644{col 67}{space 3} .2971205
{txt}c_treatful.. {c |}{col 14}{res}{space 2}-.4935443{col 26}{space 2}  .301421{col 37}{space 1}   -1.64{col 46}{space 3}0.104{col 54}{space 4}-1.088908{col 67}{space 3} .1018191
{txt}c_treatful.. {c |}{col 14}{res}{space 2} -.015972{col 26}{space 2} .0301077{col 37}{space 1}   -0.53{col 46}{space 3}0.597{col 54}{space 4}-.0754404{col 67}{space 3} .0434963
{txt}c_treatful.. {c |}{col 14}{res}{space 2} .0442746{col 26}{space 2} .0856579{col 37}{space 1}    0.52{col 46}{space 3}0.606{col 54}{space 4} -.124916{col 67}{space 3} .2134652
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} .0027156{col 26}{space 2} .0197211{col 37}{space 1}    0.14{col 46}{space 3}0.891{col 54}{space 4}-.0362374{col 67}{space 3} .0416686
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{com}.                 local n_mean_`x' = string(`e(N)',"%9.0fc")
{txt}
{com}.                 local b_mean_`x' = string(_b[treatfull],"%9.3fc")
{txt}
{com}.                 local se_mean_`x' =string(_se[treatfull],"%9.3fc")
{txt}
{com}.                 local p_mean_`x' = (2 * ttail(e(df_r), abs(_b[treatfull]/_se[treatfull])))
{txt}
{com}.                         
.                 if `p_mean_`x'' <= 0.1 & `p_mean_`x'' > 0.05{c -(}
.                         local b_mean_`x' `b_mean_`x''*
.                 {c )-}
{txt}
{com}.         
.                 if `p_mean_`x'' <= 0.05 & `p_mean_`x'' > 0.01{c -(}
.                         local b_mean_`x' `b_mean_`x''**
.                 {c )-}
{txt}
{com}.                 
.                 if `p_mean_`x'' <= 0.01 & `p_mean_`x'' > 0 {c -(}
.                         local b_mean_`x' `b_mean_`x''***
.                 {c )-}
{txt}
{com}.                 
.                 local csb_mean_`x' = string(_b[_cons],"%9.3fc")
{txt}
{com}.                 local csse_mean_`x' =string(_se[_cons],"%9.3fc")
{txt}
{com}.                 local p_mean_`x' = (2 * ttail(e(df_r), abs(_b[_cons]/_se[_cons])))
{txt}
{com}.                         
.                 if `p_mean_`x'' <= 0.1 & `p_mean_`x'' > 0.05{c -(}
.                         local csb_mean_`x' `csb_mean_`x''*
.                 {c )-}
{txt}
{com}.         
.                 if `p_mean_`x'' <= 0.05 & `p_mean_`x'' > 0.01{c -(}
.                         local csb_mean_`x' `csb_mean_`x''**
.                 {c )-}
{txt}
{com}.                 
.                 if `p_mean_`x'' <= 0.01 & `p_mean_`x'' > 0 {c -(}
.                         local csb_mean_`x' `csb_mean_`x''***
.                 {c )-}
{txt}
{com}.         
.         restore
{txt}
{com}.         
.         ***********************************
.         * Diff in Diff midline - baseline *
.         ***********************************
. 
.         local var treatfull
{txt}
{com}.         
.         local x healthoutcome_z
{txt}
{com}.         
.         keep hh_id hc_id m_healthoutcome_z b_healthoutcome_z `m_controls_tfull' ``var'_int_m_controls'  district uniquehc treatfull midline_presence
{txt}
{com}.         
.         gen nomeasure_midline = (b_healthoutcome_z == . | m_healthoutcome_z == .)
{txt}
{com}.         replace nomeasure_midline = 1 if midline_presence == 0
{txt}(0 real changes made)

{com}.         
.         ren b_`x' `x'_b
{res}{txt}
{com}.         ren m_`x' `x'_m
{res}{txt}
{com}.         
.         * Creating a new id to reshape
.         
.         byso hh_id: gen temp = _n
{txt}
{com}.         
.         tostring hh_id temp, replace
{txt}hh_id was {res:long} now {res:str5}
temp was {res:float} now {res:str1}

{com}.         
.         replace hh_id = hh_id + temp
{txt}variable {bf}hh_id{sf} was {bf}{res}str5{sf}{txt} now {bf}{res}str6{sf}
{txt}(18,596 real changes made)

{com}.         
.         destring hh_id, replace
{txt}hh_id: all characters numeric; {res}replaced {txt}as {res}long
{txt}
{com}.         
.         drop temp
{txt}
{com}.         
.         * Reshape
.         
.         reshape long healthoutcome_z , i(hh_id) j(num) s
{txt}(note: j = _b _m)

Data{col 36}wide{col 43}->{col 48}long
{hline 77}
Number of obs.                 {res}   18596   {txt}->{res}   37192
{txt}Number of variables            {res}      21   {txt}->{res}      21
{txt}j variable (2 values)                     ->   {res}num
{txt}xij variables:
    {res}healthoutcome_z_b healthoutcome_z_m   {txt}->   {res}healthoutcome_z
{txt}{hline 77}

{com}.         
.         gen y15 = (num == "_m")
{txt}
{com}.         
.         drop num
{txt}
{com}.         
.         gen t_15 = treatfull*y15
{txt}(18,768 missing values generated)

{com}.         
.                 areg `x' t_15 y15 `m_controls_tfull' ``var'_int_m_controls' if midline_presence == 1, robust cl(hc_id) a(district)

{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}    10,674
{txt}{col 49}F({res}  14{txt},{res}    186{txt}){col 67}= {res}      1.26
{txt}{col 49}Prob > F{col 67}= {res}    0.2353
{txt}{col 49}R-squared{col 67}= {res}    0.0057
{txt}{col 49}Adj R-squared{col 67}= {res}    0.0030
{txt}{col 49}Root MSE{col 67}= {res}    0.9796

{txt}{ralign 78:(Std. Err. adjusted for {res:187} clusters in hc_id)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}healthoutc~z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 8}t_15 {c |}{col 14}{res}{space 2}  .020168{col 26}{space 2} .0280712{col 37}{space 1}    0.72{col 46}{space 3}0.473{col 54}{space 4}-.0352107{col 67}{space 3} .0755468
{txt}{space 9}y15 {c |}{col 14}{res}{space 2}-.0098672{col 26}{space 2}  .029567{col 37}{space 1}   -0.33{col 46}{space 3}0.739{col 54}{space 4}-.0681971{col 67}{space 3} .0484626
{txt}{space 1}c_tfull_hc2 {c |}{col 14}{res}{space 2}-.0303744{col 26}{space 2} .0470846{col 37}{space 1}   -0.65{col 46}{space 3}0.520{col 54}{space 4} -.123263{col 67}{space 3} .0625142
{txt}c_tfull_b_~l {c |}{col 14}{res}{space 2}-.0596631{col 26}{space 2}  .056176{col 37}{space 1}   -1.06{col 46}{space 3}0.290{col 54}{space 4}-.1704871{col 67}{space 3} .0511609
{txt}c_tfull_b_~s {c |}{col 14}{res}{space 2} .0929557{col 26}{space 2} .0605211{col 37}{space 1}    1.54{col 46}{space 3}0.126{col 54}{space 4}-.0264403{col 67}{space 3} .2123516
{txt}c_tfull_bm~d {c |}{col 14}{res}{space 2}-.0883722{col 26}{space 2} .0890068{col 37}{space 1}   -0.99{col 46}{space 3}0.322{col 54}{space 4}-.2639649{col 67}{space 3} .0872205
{txt}c_tfull_bm~r {c |}{col 14}{res}{space 2} .0044567{col 26}{space 2} .0041861{col 37}{space 1}    1.06{col 46}{space 3}0.288{col 54}{space 4}-.0038016{col 67}{space 3}  .012715
{txt}c_tfull_bm~x {c |}{col 14}{res}{space 2}  .013704{col 26}{space 2} .0153675{col 37}{space 1}    0.89{col 46}{space 3}0.374{col 54}{space 4}-.0166131{col 67}{space 3} .0440211
{txt}c_treatful~2 {c |}{col 14}{res}{space 2} .0697388{col 26}{space 2} .0579048{col 37}{space 1}    1.20{col 46}{space 3}0.230{col 54}{space 4}-.0444957{col 67}{space 3} .1839734
{txt}c_treatful~l {c |}{col 14}{res}{space 2} .0454408{col 26}{space 2} .0642308{col 37}{space 1}    0.71{col 46}{space 3}0.480{col 54}{space 4}-.0812737{col 67}{space 3} .1721553
{txt}c_treatful~s {c |}{col 14}{res}{space 2}-.0778827{col 26}{space 2} .0669984{col 37}{space 1}   -1.16{col 46}{space 3}0.247{col 54}{space 4}-.2100571{col 67}{space 3} .0542918
{txt}c_treatful~d {c |}{col 14}{res}{space 2} .0596245{col 26}{space 2} .1114567{col 37}{space 1}    0.53{col 46}{space 3}0.593{col 54}{space 4}-.1602572{col 67}{space 3} .2795063
{txt}c_treatful~r {c |}{col 14}{res}{space 2} .0030679{col 26}{space 2} .0054419{col 37}{space 1}    0.56{col 46}{space 3}0.574{col 54}{space 4}-.0076679{col 67}{space 3} .0138038
{txt}c_treatful~x {c |}{col 14}{res}{space 2}-.0140416{col 26}{space 2} .0219899{col 37}{space 1}   -0.64{col 46}{space 3}0.524{col 54}{space 4}-.0574233{col 67}{space 3} .0293401
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} .0137825{col 26}{space 2} .0204373{col 37}{space 1}    0.67{col 46}{space 3}0.501{col 54}{space 4}-.0265362{col 67}{space 3} .0541012
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{com}.                 local n_dd_`x' = string(`e(N)',"%9.0fc")
{txt}
{com}.                 local b_dd_`x' = string(_b[t_15],"%9.3fc")
{txt}
{com}.                 local se_dd_`x' =string(_se[t_15],"%9.3fc")
{txt}
{com}.                 local p_dd_`x' = (2 * ttail(e(df_r), abs(_b[t_15]/_se[t_15])))
{txt}
{com}.                         
.                 if `p_dd_`x'' <= 0.1 & `p_dd_`x'' > 0.05{c -(}
.                         local b_dd_`x' `b_dd_`x''*
.                 {c )-}
{txt}
{com}.         
.                 if `p_dd_`x'' <= 0.05 & `p_dd_`x'' > 0.01{c -(}
.                         local b_dd_`x' `b_dd_`x''**
.                 {c )-}
{txt}
{com}.                 
.                 if `p_dd_`x'' <= 0.01 & `p_dd_`x'' > 0 {c -(}
.                         local b_dd_`x' `b_dd_`x''***
.                 {c )-}
{txt}
{com}.                 
.                 local csb_dd_`x' = string(_b[_cons],"%9.3fc")
{txt}
{com}.                 local csse_dd_`x' =string(_se[_cons],"%9.3fc")
{txt}
{com}.                 local p_dd_`x' = (2 * ttail(e(df_r), abs(_b[_cons]/_se[_cons])))
{txt}
{com}.                         
.                 if `p_dd_`x'' <= 0.1 & `p_dd_`x'' > 0.05{c -(}
.                         local csb_dd_`x' `csb_dd_`x''*
.                 {c )-}
{txt}
{com}.         
.                 if `p_dd_`x'' <= 0.05 & `p_dd_`x'' > 0.01{c -(}
.                         local csb_dd_`x' `csb_dd_`x''**
.                 {c )-}
{txt}
{com}.                 
.                 if `p_dd_`x'' <= 0.01 & `p_dd_`x'' > 0 {c -(}
.                         local csb_dd_`x' `csb_dd_`x''***
.                 {c )-}
{txt}
{com}.         
.         * We outsheet results with child mortality HC level indicators
.         
.         texdoc init "${c -(}tables{c )-}/TableI52.tex", replace force
{res}{txt}(texdoc output file is /Users/fredericcochinard/Dropbox/ACT_Health_JOP_replication_file/3.Tables and Figures/Tables/TableI52.tex)
{res}{txt}
{com}.         tex \begin{c -(}table{c )-}[htbp]\centering
{res}{txt}
{com}.         tex \small
{res}{txt}
{com}.         tex \def\sym#1{c -(}\ifmmode^{c -(}#1{c )-}\else\(^{c -(}#1{c )-}\)\fi{c )-}
{res}{txt}
{com}.         tex \caption{c -(}Robustness checks -- Main outcomes (midline){c )-}
{res}{txt}
{com}.         tex \begin{c -(}tabular{c )-}{c -(}lggggggg{c )-}
{res}{txt}
{com}.         tex \toprule
{res}{txt}
{com}.         tex                                                                                       & (1)                       & (2)                                                          & (3)                                                             & (4)                                                        & (5) & (6) & (7)                        \\
{res}{txt}
{com}.     tex                              & \textbf{c -(}\begin{c -(}tabular{c )-}[c]{c -(}@{c -(}{c )-}c@{c -(}{c )-}{c )-}Citizen \\ monitoring\end{c -(}tabular{c )-}{c )-} & \textbf{c -(}\begin{c -(}tabular{c )-}[c]{c -(}@{c -(}{c )-}c@{c -(}{c )-}{c )-}Perceived \\ citizen \\ pressure\end{c -(}tabular{c )-}{c )-} & \textbf{c -(}Utilization{c )-}      & \textbf{c -(}\begin{c -(}tabular{c )-}[c]{c -(}@{c -(}{c )-}c@{c -(}{c )-}{c )-}Treatment \\ quality\end{c -(}tabular{c )-}{c )-} & \textbf{c -(}\begin{c -(}tabular{c )-}[c]{c -(}@{c -(}{c )-}c@{c -(}{c )-}{c )-}Patient \\ satisfaction\end{c -(}tabular{c )-}{c )-} & \textbf{c -(}\begin{c -(}tabular{c )-}[c]{c -(}@{c -(}{c )-}c@{c -(}{c )-}{c )-}Health \\ outcomes\end{c -(}tabular{c )-}{c )-} & \textbf{c -(}\begin{c -(}tabular{c )-}[c]{c -(}@{c -(}{c )-}c@{c -(}{c )-}{c )-}Child \\ mortality\end{c -(}tabular{c )-}{c )-}        \\
{res}{txt}
{com}.         tex \midrule
{res}{txt}
{com}.         tex \textit{c -(}A: Without control variables{c )-} \\
{res}{txt}
{com}.         tex \multirow{c -(}2{c )-}{c -(}*{c )-}{c -(}Program impact{c )-}  &`b_nocon_commtg_z' &`b_nocon_h_ctzpressure_z' &`b_nocon_urate_z'           & `b_nocon_treatqual_z'                                                            & `b_nocon_patsat_z'                                                               & `b_nocon_healthoutcome_z'                                                          & `b_nocon_mortrate_05'         \\
{res}{txt}
{com}.         tex  & (`se_nocon_commtg_z') & (`se_nocon_h_ctzpressure_z') & (`se_nocon_urate_z')           & (`se_nocon_treatqual_z')                                                            & (`se_nocon_patsat_z')                                                               & (`se_nocon_healthoutcome_z')                                                          & (`se_nocon_mortrate_05')         \\
{res}{txt}
{com}.         tex \multirow{c -(}2{c )-}{c -(}*{c )-}{c -(}Constant{c )-}   &`csb_nocon_commtg_z' &`csb_nocon_h_ctzpressure_z' &`csb_nocon_urate_z'           & `csb_nocon_treatqual_z'                                                            & `csb_nocon_patsat_z'                                                               & `csb_nocon_healthoutcome_z'                                                          & `csb_nocon_mortrate_05'         \\
{res}{txt}
{com}.         tex  & (`csse_nocon_commtg_z') & (`csse_nocon_h_ctzpressure_z') & (`csse_nocon_urate_z')           & (`csse_nocon_treatqual_z')                                                            & (`csse_nocon_patsat_z')                                                               & (`csse_nocon_healthoutcome_z')                                                          & `csse_nocon_mortrate_05'         \\
{res}{txt}
{com}.         tex \\
{res}{txt}
{com}.         tex \textit{c -(}B: Without district fixed effects{c )-} \\
{res}{txt}
{com}.         tex \multirow{c -(}2{c )-}{c -(}*{c )-}{c -(}Program impact{c )-}  &`b_nofe_commtg_z' &`b_nofe_h_ctzpressure_z' &`b_nofe_urate_z'           & `b_nofe_treatqual_z'                                                            & `b_nofe_patsat_z'                                                               & `b_nofe_healthoutcome_z'                                                          & `b_nofe_mortrate_05'         \\
{res}{txt}
{com}.         tex  & (`se_nofe_commtg_z') & (`se_nofe_h_ctzpressure_z') & (`se_nofe_urate_z')           & (`se_nofe_treatqual_z')                                                            & (`se_nofe_patsat_z')                                                               & (`se_nofe_healthoutcome_z')                                                          & (`se_nofe_mortrate_05')         \\
{res}{txt}
{com}.         tex \multirow{c -(}2{c )-}{c -(}*{c )-}{c -(}Constant{c )-}   &`csb_nofe_commtg_z' &`csb_nofe_h_ctzpressure_z' &`csb_nofe_urate_z'           & `csb_nofe_treatqual_z'                                                            & `csb_nofe_patsat_z'                                                               & `csb_nofe_healthoutcome_z'                                                          & `csb_nofe_mortrate_05'         \\
{res}{txt}
{com}.         tex  & (`csse_nofe_commtg_z') & (`csse_nofe_h_ctzpressure_z') & (`csse_nofe_urate_z')           & (`csse_nofe_treatqual_z')                                                            & (`csse_nofe_patsat_z')                                                               & (`csse_nofe_healthoutcome_z')                                                          & `csse_nofe_mortrate_05'         \\
{res}{txt}
{com}.         tex \\ 
{res}{txt}
{com}.         tex \textit{c -(}C: With outcome measures aggregated at HC level{c )-} \\
{res}{txt}
{com}.         tex \multirow{c -(}2{c )-}{c -(}*{c )-}{c -(}Program impact{c )-}   &`b_mean_commtg_z' &`b_mean_h_ctzpressure_z' &`b_mean_urate_z'           & `b_mean_treatqual_z'                                                            & `b_mean_patsat_z'                                                               & `b_mean_healthoutcome_z'                                                          & `b_mean_mortrate_05'         \\
{res}{txt}
{com}.         tex  & (`se_mean_commtg_z') & (`se_mean_h_ctzpressure_z') & (`se_mean_urate_z')           & (`se_mean_treatqual_z')                                                            & (`se_mean_patsat_z')                                                               & (`se_mean_healthoutcome_z')                                                          & (`se_mean_mortrate_05')         \\
{res}{txt}
{com}.         tex \multirow{c -(}2{c )-}{c -(}*{c )-}{c -(}Constant{c )-}   &`csb_mean_commtg_z' &`csb_mean_h_ctzpressure_z' &`csb_mean_urate_z'           & `csb_mean_treatqual_z'                                                            & `csb_mean_patsat_z'                                                               & `csb_mean_healthoutcome_z'                                                          & `csb_mean_mortrate_05'         \\
{res}{txt}
{com}.         tex  &(`csse_mean_commtg_z') & (`csse_mean_h_ctzpressure_z') & (`csse_mean_urate_z')           & (`csse_mean_treatqual_z')                                                            & (`csse_mean_patsat_z')                                                               & (`csse_mean_healthoutcome_z')                                                          & (`csse_mean_mortrate_05')         \\
{res}{txt}
{com}.         tex \\ 
{res}{txt}
{com}.         tex \textit{c -(}D: Difference between post and pre-treatment values{c )-} \\
{res}{txt}
{com}.         tex \multirow{c -(}2{c )-}{c -(}*{c )-}{c -(}Program impact{c )-}   &`b_dd_commtg_z' &`b_dd_h_ctzpressure_z' &`b_dd_urate_z'           & `b_dd_treatqual_z'                                                            & `b_dd_patsat_z'                                                               & `b_dd_healthoutcome_z'                                                          & `b_dd_mortrate_05'         \\
{res}{txt}
{com}.         tex  & (`se_dd_commtg_z') & (`se_dd_h_ctzpressure_z') & (`se_dd_urate_z')           & (`se_dd_treatqual_z')                                                            & (`se_dd_patsat_z')                                                               & (`se_dd_healthoutcome_z')                                                          & (`se_dd_mortrate_05')         \\
{res}{txt}
{com}.         tex \multirow{c -(}2{c )-}{c -(}*{c )-}{c -(}Constant{c )-}   &`csb_dd_commtg_z' &`csb_dd_h_ctzpressure_z' &`csb_dd_urate_z'           & `csb_dd_treatqual_z'                                                            & `csb_dd_patsat_z'                                                               & `csb_dd_healthoutcome_z'                                                          & `csb_dd_mortrate_05'         \\
{res}{txt}
{com}.         tex  &(`csse_dd_commtg_z') & (`csse_dd_h_ctzpressure_z') & (`csse_dd_urate_z')           & (`csse_dd_treatqual_z')                                                            & (`csse_dd_patsat_z')                                                               & (`csse_dd_healthoutcome_z')                                                          & (`csse_dd_mortrate_05')         \\
{res}{txt}
{com}.         tex \midrule
{res}{txt}
{com}.         tex Observations (A \& B)  &`n_nocon_commtg_z' &`n_nocon_h_ctzpressure_z' &`n_nocon_urate_z'           & `n_nocon_treatqual_z'                                                            & `n_nocon_patsat_z'                                                               & `n_nocon_healthoutcome_z'                                                          & `n_nocon_mortrate_05'         \\
{res}{txt}
{com}.         tex Observations (C) &`n_mean_commtg_z' &`n_mean_h_ctzpressure_z' & `n_mean_urate_z'           & `n_mean_treatqual_z'                                                            & `n_mean_patsat_z'                                                               & `n_mean_healthoutcome_z'                                                          & `n_mean_mortrate_05'         \\
{res}{txt}
{com}.         tex Observations (D) &`n_dd_commtg_z' &`n_dd_h_ctzpressure_z' & `n_dd_urate_z'           & `n_dd_treatqual_z'                                                            & `n_dd_patsat_z'                                                               & `n_dd_healthoutcome_z'                                                          & `n_dd_mortrate_05'         \\
{res}{txt}
{com}.         tex \bottomrule
{res}{txt}
{com}.         tex \end{c -(}tabular{c )-}
{res}{txt}
{com}.         tex \end{c -(}table{c )-}
{res}{txt}
{com}.         texdoc close
{txt}(texdoc output written to {browse `"/Users/fredericcochinard/Dropbox/ACT_Health_JOP_replication_file/3.Tables and Figures/Tables/TableI52.tex"':/Users/fredericcochinard/Dropbox/ACT_Health_JOP_replication_file/3.Tables and Figures/Tables/TableI52.tex})
{res}{txt}
{com}.         
.         ******************************************************************
.         * Table I53: Robustness checks – Intermediate outcomes (midline) *
.         ******************************************************************
.         
.         * At midline
.         
.         use "${c -(}usedata{c )-}/chp_el_light_dataset.dta", clear
{txt}
{com}.         
.         * We need to compute robustness check for Main and Intermediate outcomes
.         
.         * No control
.         * No FE
.         * HC agregated level
.         * Diff and diff with baseline
. 
.         **************
.         * No control *
.         **************
.         
.         local var treatfull
{txt}
{com}.         
.         eststo clear
{txt}
{com}. 
.         foreach x in `intermediate' {c -(}
{txt}  2{com}.                 areg  m_`x' `var' bm_`x' bm_`x'_d, robust cl(hc_id) a(district)
{txt}  3{com}.                 local n_nocon_`x' = `e(N)'
{txt}  4{com}.                 local b_nocon_`x' = string(_b[treatfull],"%9.3fc")
{txt}  5{com}.                 local se_nocon_`x' =string(_se[treatfull],"%9.3fc")
{txt}  6{com}.                 local p_nocon_`x' = (2 * ttail(e(df_r), abs(_b[treatfull]/_se[treatfull])))
{txt}  7{com}.                         
.                 if `p_nocon_`x'' <= 0.1 & `p_nocon_`x'' > 0.05{c -(}
{txt}  8{com}.                         local b_nocon_`x' `b_nocon_`x''*
{txt}  9{com}.                 {c )-}
{txt} 10{com}.         
.                 if `p_nocon_`x'' <= 0.05 & `p_nocon_`x'' > 0.01{c -(}
{txt} 11{com}.                         local b_nocon_`x' `b_nocon_`x''**
{txt} 12{com}.                 {c )-}
{txt} 13{com}.                 
.                 if `p_nocon_`x'' <= 0.01 & `p_nocon_`x'' > 0 {c -(}
{txt} 14{com}.                         local b_nocon_`x' `b_nocon_`x''***
{txt} 15{com}.                 {c )-}
{txt} 16{com}.                 
.                 local csb_nocon_`x' = string(_b[_cons],"%9.3fc")
{txt} 17{com}.                 local csse_nocon_`x' =string(_se[_cons],"%9.3fc")
{txt} 18{com}.                 local p_nocon_`x' = (2 * ttail(e(df_r), abs(_b[_cons]/_se[_cons])))
{txt} 19{com}.                         
.                 if `p_nocon_`x'' <= 0.1 & `p_nocon_`x'' > 0.05{c -(}
{txt} 20{com}.                         local csb_nocon_`x' `csb_nocon_`x''*
{txt} 21{com}.                 {c )-}
{txt} 22{com}.         
.                 if `p_nocon_`x'' <= 0.05 & `p_nocon_`x'' > 0.01{c -(}
{txt} 23{com}.                         local csb_nocon_`x' `csb_nocon_`x''**
{txt} 24{com}.                 {c )-}
{txt} 25{com}.                 
.                 if `p_nocon_`x'' <= 0.01 & `p_nocon_`x'' > 0 {c -(}
{txt} 26{com}.                         local csb_nocon_`x' `csb_nocon_`x''***
{txt} 27{com}.                 {c )-}
{txt} 28{com}.                 
.                 {c )-}
{txt}note: bm_ctzknow_z_d omitted because of collinearity
{res}
{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}     7,204
{txt}{col 49}F({res}   2{txt},{res}    186{txt}){col 67}= {res}     19.96
{txt}{col 49}Prob > F{col 67}= {res}    0.0000
{txt}{col 49}R-squared{col 67}= {res}    0.1057
{txt}{col 49}Adj R-squared{col 67}= {res}    0.1036
{txt}{col 49}Root MSE{col 67}= {res}    0.6684

{txt}{ralign 78:(Std. Err. adjusted for {res:187} clusters in hc_id)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1} m_ctzknow_z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2}-.0007751{col 26}{space 2} .0306546{col 37}{space 1}   -0.03{col 46}{space 3}0.980{col 54}{space 4}-.0612505{col 67}{space 3} .0597004
{txt}bm_ctzknow_z {c |}{col 14}{res}{space 2} .0656222{col 26}{space 2} .0104684{col 37}{space 1}    6.27{col 46}{space 3}0.000{col 54}{space 4} .0449702{col 67}{space 3} .0862741
{txt}bm_ctzknow~d {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 7}_cons {c |}{col 14}{res}{space 2}-.0047023{col 26}{space 2} .0221629{col 37}{space 1}   -0.21{col 46}{space 3}0.832{col 54}{space 4}-.0484254{col 67}{space 3} .0390207
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)
note: bm_eff_z_d omitted because of collinearity
{res}
{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}     7,204
{txt}{col 49}F({res}   2{txt},{res}    186{txt}){col 67}= {res}     29.97
{txt}{col 49}Prob > F{col 67}= {res}    0.0000
{txt}{col 49}R-squared{col 67}= {res}    0.0305
{txt}{col 49}Adj R-squared{col 67}= {res}    0.0282
{txt}{col 49}Root MSE{col 67}= {res}    0.5940

{txt}{ralign 78:(Std. Err. adjusted for {res:187} clusters in hc_id)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}     m_eff_z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2}  .038391{col 26}{space 2} .0200859{col 37}{space 1}    1.91{col 46}{space 3}0.057{col 54}{space 4}-.0012345{col 67}{space 3} .0780165
{txt}{space 4}bm_eff_z {c |}{col 14}{res}{space 2}  .088976{col 26}{space 2} .0118139{col 37}{space 1}    7.53{col 46}{space 3}0.000{col 54}{space 4} .0656696{col 67}{space 3} .1122824
{txt}{space 2}bm_eff_z_d {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 7}_cons {c |}{col 14}{res}{space 2}-.0003017{col 26}{space 2} .0138024{col 37}{space 1}   -0.02{col 46}{space 3}0.983{col 54}{space 4} -.027531{col 67}{space 3} .0269277
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)
note: bm_commresp_z_d omitted because of collinearity
{res}
{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}     7,204
{txt}{col 49}F({res}   2{txt},{res}    186{txt}){col 67}= {res}     15.52
{txt}{col 49}Prob > F{col 67}= {res}    0.0000
{txt}{col 49}R-squared{col 67}= {res}    0.0314
{txt}{col 49}Adj R-squared{col 67}= {res}    0.0291
{txt}{col 49}Root MSE{col 67}= {res}    0.7439

{txt}{ralign 78:(Std. Err. adjusted for {res:187} clusters in hc_id)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}m_commresp_z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2} .0065155{col 26}{space 2} .0223115{col 37}{space 1}    0.29{col 46}{space 3}0.771{col 54}{space 4}-.0375006{col 67}{space 3} .0505317
{txt}bm_commres~z {c |}{col 14}{res}{space 2} .0704536{col 26}{space 2} .0126988{col 37}{space 1}    5.55{col 46}{space 3}0.000{col 54}{space 4} .0454013{col 67}{space 3} .0955059
{txt}bm_commres~d {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 7}_cons {c |}{col 14}{res}{space 2}-.0042392{col 26}{space 2}  .015804{col 37}{space 1}   -0.27{col 46}{space 3}0.789{col 54}{space 4}-.0354174{col 67}{space 3}  .026939
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)
note: bm_relhhhc_z_d omitted because of collinearity
{res}
{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}     7,204
{txt}{col 49}F({res}   2{txt},{res}    186{txt}){col 67}= {res}     15.98
{txt}{col 49}Prob > F{col 67}= {res}    0.0000
{txt}{col 49}R-squared{col 67}= {res}    0.0721
{txt}{col 49}Adj R-squared{col 67}= {res}    0.0699
{txt}{col 49}Root MSE{col 67}= {res}    0.5647

{txt}{ralign 78:(Std. Err. adjusted for {res:187} clusters in hc_id)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1} m_relhhhc_z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2}-.0413211{col 26}{space 2} .0447313{col 37}{space 1}   -0.92{col 46}{space 3}0.357{col 54}{space 4} -.129567{col 67}{space 3} .0469248
{txt}bm_relhhhc_z {c |}{col 14}{res}{space 2} .1878902{col 26}{space 2}   .03339{col 37}{space 1}    5.63{col 46}{space 3}0.000{col 54}{space 4} .1220184{col 67}{space 3} .2537621
{txt}bm_relhhhc~d {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 7}_cons {c |}{col 14}{res}{space 2}  .001843{col 26}{space 2} .0268458{col 37}{space 1}    0.07{col 46}{space 3}0.945{col 54}{space 4}-.0511184{col 67}{space 3} .0548043
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{com}.                 
.         eststo clear
{txt}
{com}.                         
.         foreach x in `intermediate_hclevel' {c -(}
{txt}  2{com}.                 areg  m_`x' `var' bm_`x' bm_`x'_d if uniquehc == 1, robust a(district)
{txt}  3{com}.                 local n_nocon_`x' = `e(N)'
{txt}  4{com}.                 local b_nocon_`x' = string(_b[treatfull],"%9.3fc")
{txt}  5{com}.                 local se_nocon_`x' =string(_se[treatfull],"%9.3fc")
{txt}  6{com}.                 local p_nocon_`x' = (2 * ttail(e(df_r), abs(_b[treatfull]/_se[treatfull])))
{txt}  7{com}.                         
.                 if `p_nocon_`x'' <= 0.1 & `p_nocon_`x'' > 0.05{c -(}
{txt}  8{com}.                         local b_nocon_`x' `b_nocon_`x''*
{txt}  9{com}.                 {c )-}
{txt} 10{com}.         
.                 if `p_nocon_`x'' <= 0.05 & `p_nocon_`x'' > 0.01{c -(}
{txt} 11{com}.                         local b_nocon_`x' `b_nocon_`x''**
{txt} 12{com}.                 {c )-}
{txt} 13{com}.                 
.                 if `p_nocon_`x'' <= 0.01 & `p_nocon_`x'' > 0 {c -(}
{txt} 14{com}.                         local b_nocon_`x' `b_nocon_`x''***
{txt} 15{com}.                 {c )-}
{txt} 16{com}.                 
.                 local csb_nocon_`x' = string(_b[_cons],"%9.3fc")
{txt} 17{com}.                 local csse_nocon_`x' =string(_se[_cons],"%9.3fc")
{txt} 18{com}.                 local p_nocon_`x' = (2 * ttail(e(df_r), abs(_b[_cons]/_se[_cons])))
{txt} 19{com}.                         
.                 if `p_nocon_`x'' <= 0.1 & `p_nocon_`x'' > 0.05{c -(}
{txt} 20{com}.                         local csb_nocon_`x' `csb_nocon_`x''*
{txt} 21{com}.                 {c )-}
{txt} 22{com}.         
.                 if `p_nocon_`x'' <= 0.05 & `p_nocon_`x'' > 0.01{c -(}
{txt} 23{com}.                         local csb_nocon_`x' `csb_nocon_`x''**
{txt} 24{com}.                 {c )-}
{txt} 25{com}.                 
.                 if `p_nocon_`x'' <= 0.01 & `p_nocon_`x'' > 0 {c -(}
{txt} 26{com}.                         local csb_nocon_`x' `csb_nocon_`x''***
{txt} 27{com}.                 {c )-}
{txt} 28{com}.                 
.                 {c )-}
{p 0 6 2}{txt}note: bm_h_hcpknow_z_d omitted because of collinearity{p_end}
{res}
{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}       187
{txt}{col 49}F({res}   2{txt},{res}    169{txt}){col 67}= {res}      3.46
{txt}{col 49}Prob > F{col 67}= {res}    0.0335
{txt}{col 49}R-squared{col 67}= {res}    0.3393
{txt}{col 49}Adj R-squared{col 67}= {res}    0.2728
{txt}{col 49}Root MSE{col 67}= {res}    0.7023

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}m_h_hcpkno~z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2} .0461019{col 26}{space 2} .1033171{col 37}{space 1}    0.45{col 46}{space 3}0.656{col 54}{space 4}-.1578564{col 67}{space 3} .2500602
{txt}bm_h_hcpkn~z {c |}{col 14}{res}{space 2} .1615185{col 26}{space 2} .0625145{col 37}{space 1}    2.58{col 46}{space 3}0.011{col 54}{space 4} .0381085{col 67}{space 3} .2849284
{txt}bm_h_hcpkn~d {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 7}_cons {c |}{col 14}{res}{space 2} .0099571{col 26}{space 2} .0764795{col 37}{space 1}    0.13{col 46}{space 3}0.897{col 54}{space 4} -.141021{col 67}{space 3} .1609353
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)
{p 0 6 2}note: bm_h_hctrans_z_d omitted because of collinearity{p_end}
{res}
{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}       187
{txt}{col 49}F({res}   2{txt},{res}    169{txt}){col 67}= {res}      4.46
{txt}{col 49}Prob > F{col 67}= {res}    0.0130
{txt}{col 49}R-squared{col 67}= {res}    0.1396
{txt}{col 49}Adj R-squared{col 67}= {res}    0.0531
{txt}{col 49}Root MSE{col 67}= {res}    0.4789

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}m_h_hctran~z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2}-.1173926{col 26}{space 2} .0699175{col 37}{space 1}   -1.68{col 46}{space 3}0.095{col 54}{space 4}-.2554168{col 67}{space 3} .0206316
{txt}bm_h_hctra~z {c |}{col 14}{res}{space 2} .2023209{col 26}{space 2} .0799524{col 37}{space 1}    2.53{col 46}{space 3}0.012{col 54}{space 4} .0444867{col 67}{space 3}  .360155
{txt}bm_h_hctra~d {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 7}_cons {c |}{col 14}{res}{space 2}-.0014728{col 26}{space 2}  .057685{col 37}{space 1}   -0.03{col 46}{space 3}0.980{col 54}{space 4}-.1153488{col 67}{space 3} .1124033
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{com}.         
.         *********
.         * No FE *
.         *********
.         
.         eststo clear
{txt}
{com}.         
.         local var treatfull
{txt}
{com}. 
.         foreach x in `intermediate' {c -(}
{txt}  2{com}.                 reg  m_`x' `var' bm_`x' bm_`x'_d `m_controls_tfull' ``var'_int_m_controls', cl(hc_id) robust
{txt}  3{com}.                 local n_nofe_`x' = `e(N)'
{txt}  4{com}.                 local b_nofe_`x' = string(_b[treatfull],"%9.3fc")
{txt}  5{com}.                 local se_nofe_`x' =string(_se[treatfull],"%9.3fc")
{txt}  6{com}.                 local p_nofe_`x' = (2 * ttail(e(df_r), abs(_b[treatfull]/_se[treatfull])))
{txt}  7{com}.                         
.                 if `p_nofe_`x'' <= 0.1 & `p_nofe_`x'' > 0.05{c -(}
{txt}  8{com}.                         local b_nofe_`x' `b_nofe_`x''*
{txt}  9{com}.                 {c )-}
{txt} 10{com}.         
.                 if `p_nofe_`x'' <= 0.05 & `p_nofe_`x'' > 0.01{c -(}
{txt} 11{com}.                         local b_nofe_`x' `b_nofe_`x''**
{txt} 12{com}.                 {c )-}
{txt} 13{com}.                 
.                 if `p_nofe_`x'' <= 0.01 & `p_nofe_`x'' > 0 {c -(}
{txt} 14{com}.                         local b_nofe_`x' `b_nofe_`x''***
{txt} 15{com}.                 {c )-}
{txt} 16{com}.                 
.                 local csb_nofe_`x' = string(_b[_cons],"%9.3fc")
{txt} 17{com}.                 local csse_nofe_`x' =string(_se[_cons],"%9.3fc")
{txt} 18{com}.                 local p_nofe_`x' = (2 * ttail(e(df_r), abs(_b[_cons]/_se[_cons])))
{txt} 19{com}.                         
.                 if `p_nofe_`x'' <= 0.1 & `p_nofe_`x'' > 0.05{c -(}
{txt} 20{com}.                         local csb_nofe_`x' `csb_nofe_`x''*
{txt} 21{com}.                 {c )-}
{txt} 22{com}.         
.                 if `p_nofe_`x'' <= 0.05 & `p_nofe_`x'' > 0.01{c -(}
{txt} 23{com}.                         local csb_nofe_`x' `csb_nofe_`x''**
{txt} 24{com}.                 {c )-}
{txt} 25{com}.                 
.                 if `p_nofe_`x'' <= 0.01 & `p_nofe_`x'' > 0 {c -(}
{txt} 26{com}.                         local csb_nofe_`x' `csb_nofe_`x''***
{txt} 27{com}.                 {c )-}
{txt} 28{com}.                 
.                 {c )-}
{txt}note: bm_ctzknow_z_d omitted because of collinearity

Linear regression                               Number of obs     = {res}     7,204
                                                {txt}F(14, 186)        =  {res}    14.05
                                                {txt}Prob > F          = {res}    0.0000
                                                {txt}R-squared         = {res}    0.0740
                                                {txt}Root MSE          =    {res} .67998

{txt}{ralign 78:(Std. Err. adjusted for {res:187} clusters in hc_id)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1} m_ctzknow_z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2}-.0070284{col 26}{space 2} .0370614{col 37}{space 1}   -0.19{col 46}{space 3}0.850{col 54}{space 4}-.0801431{col 67}{space 3} .0660863
{txt}bm_ctzknow_z {c |}{col 14}{res}{space 2} .0183204{col 26}{space 2} .0125288{col 37}{space 1}    1.46{col 46}{space 3}0.145{col 54}{space 4}-.0063965{col 67}{space 3} .0430373
{txt}bm_ctzknow~d {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 1}c_tfull_hc2 {c |}{col 14}{res}{space 2}-.0466678{col 26}{space 2} .0557818{col 37}{space 1}   -0.84{col 46}{space 3}0.404{col 54}{space 4}-.1567141{col 67}{space 3} .0633785
{txt}c_tfull_b_~l {c |}{col 14}{res}{space 2} .3026386{col 26}{space 2} .0676959{col 37}{space 1}    4.47{col 46}{space 3}0.000{col 54}{space 4} .1690881{col 67}{space 3}  .436189
{txt}c_tfull_b_~s {c |}{col 14}{res}{space 2}  .047072{col 26}{space 2}  .070606{col 37}{space 1}    0.67{col 46}{space 3}0.506{col 54}{space 4}-.0922196{col 67}{space 3} .1863635
{txt}c_tfull_bm~d {c |}{col 14}{res}{space 2} .2188261{col 26}{space 2} .0781901{col 37}{space 1}    2.80{col 46}{space 3}0.006{col 54}{space 4} .0645726{col 67}{space 3} .3730796
{txt}c_tfull_bm~r {c |}{col 14}{res}{space 2} .0140337{col 26}{space 2} .0031313{col 37}{space 1}    4.48{col 46}{space 3}0.000{col 54}{space 4} .0078563{col 67}{space 3} .0202111
{txt}c_tfull_bm~x {c |}{col 14}{res}{space 2}-.0066659{col 26}{space 2} .0123489{col 37}{space 1}   -0.54{col 46}{space 3}0.590{col 54}{space 4}-.0310278{col 67}{space 3} .0176959
{txt}c_trea~l_hc2 {c |}{col 14}{res}{space 2} .0261643{col 26}{space 2} .0812575{col 37}{space 1}    0.32{col 46}{space 3}0.748{col 54}{space 4}-.1341406{col 67}{space 3} .1864692
{txt}c_treatful.. {c |}{col 14}{res}{space 2} .0102567{col 26}{space 2} .0940575{col 37}{space 1}    0.11{col 46}{space 3}0.913{col 54}{space 4}   -.1753{col 67}{space 3} .1958133
{txt}c_treatful.. {c |}{col 14}{res}{space 2} .0718531{col 26}{space 2} .1025345{col 37}{space 1}    0.70{col 46}{space 3}0.484{col 54}{space 4} -.130427{col 67}{space 3} .2741333
{txt}c_treatful.. {c |}{col 14}{res}{space 2}-.0777824{col 26}{space 2} .0979105{col 37}{space 1}   -0.79{col 46}{space 3}0.428{col 54}{space 4}-.2709402{col 67}{space 3} .1153754
{txt}c_treatful.. {c |}{col 14}{res}{space 2} .0034014{col 26}{space 2} .0046842{col 37}{space 1}    0.73{col 46}{space 3}0.469{col 54}{space 4}-.0058396{col 67}{space 3} .0126423
{txt}c_treatful.. {c |}{col 14}{res}{space 2}  .015475{col 26}{space 2} .0204524{col 37}{space 1}    0.76{col 46}{space 3}0.450{col 54}{space 4}-.0248735{col 67}{space 3} .0558235
{txt}{space 7}_cons {c |}{col 14}{res}{space 2}-.0007062{col 26}{space 2} .0246245{col 37}{space 1}   -0.03{col 46}{space 3}0.977{col 54}{space 4}-.0492855{col 67}{space 3} .0478731
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}note: bm_eff_z_d omitted because of collinearity

Linear regression                               Number of obs     = {res}     7,204
                                                {txt}F(14, 186)        =  {res}     9.34
                                                {txt}Prob > F          = {res}    0.0000
                                                {txt}R-squared         = {res}    0.0228
                                                {txt}Root MSE          =    {res} .59622

{txt}{ralign 78:(Std. Err. adjusted for {res:187} clusters in hc_id)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}     m_eff_z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2} .0365649{col 26}{space 2} .0229012{col 37}{space 1}    1.60{col 46}{space 3}0.112{col 54}{space 4}-.0086145{col 67}{space 3} .0817443
{txt}{space 4}bm_eff_z {c |}{col 14}{res}{space 2} .0820646{col 26}{space 2} .0118043{col 37}{space 1}    6.95{col 46}{space 3}0.000{col 54}{space 4} .0587772{col 67}{space 3} .1053521
{txt}{space 2}bm_eff_z_d {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 1}c_tfull_hc2 {c |}{col 14}{res}{space 2} .0414585{col 26}{space 2} .0446522{col 37}{space 1}    0.93{col 46}{space 3}0.354{col 54}{space 4}-.0466313{col 67}{space 3} .1295483
{txt}c_tfull_b_~l {c |}{col 14}{res}{space 2} .0076471{col 26}{space 2} .0429208{col 37}{space 1}    0.18{col 46}{space 3}0.859{col 54}{space 4} -.077027{col 67}{space 3} .0923213
{txt}c_tfull_b_~s {c |}{col 14}{res}{space 2} .0793079{col 26}{space 2} .0444646{col 37}{space 1}    1.78{col 46}{space 3}0.076{col 54}{space 4}-.0084118{col 67}{space 3} .1670276
{txt}c_tfull_bm~d {c |}{col 14}{res}{space 2} .0102973{col 26}{space 2} .0437786{col 37}{space 1}    0.24{col 46}{space 3}0.814{col 54}{space 4}-.0760692{col 67}{space 3} .0966637
{txt}c_tfull_bm~r {c |}{col 14}{res}{space 2} .0053448{col 26}{space 2} .0028454{col 37}{space 1}    1.88{col 46}{space 3}0.062{col 54}{space 4}-.0002686{col 67}{space 3} .0109583
{txt}c_tfull_bm~x {c |}{col 14}{res}{space 2} .0228701{col 26}{space 2} .0125996{col 37}{space 1}    1.82{col 46}{space 3}0.071{col 54}{space 4}-.0019863{col 67}{space 3} .0477266
{txt}c_trea~l_hc2 {c |}{col 14}{res}{space 2} .0201802{col 26}{space 2} .0574529{col 37}{space 1}    0.35{col 46}{space 3}0.726{col 54}{space 4}-.0931629{col 67}{space 3} .1335233
{txt}c_treatful.. {c |}{col 14}{res}{space 2}   .01455{col 26}{space 2} .0566936{col 37}{space 1}    0.26{col 46}{space 3}0.798{col 54}{space 4}-.0972952{col 67}{space 3} .1263952
{txt}c_treatful.. {c |}{col 14}{res}{space 2}-.0692243{col 26}{space 2} .0549743{col 37}{space 1}   -1.26{col 46}{space 3}0.210{col 54}{space 4}-.1776776{col 67}{space 3} .0392291
{txt}c_treatful.. {c |}{col 14}{res}{space 2} .1010253{col 26}{space 2} .0625967{col 37}{space 1}    1.61{col 46}{space 3}0.108{col 54}{space 4}-.0224654{col 67}{space 3}  .224516
{txt}c_treatful.. {c |}{col 14}{res}{space 2} .0075619{col 26}{space 2} .0039973{col 37}{space 1}    1.89{col 46}{space 3}0.060{col 54}{space 4} -.000324{col 67}{space 3} .0154477
{txt}c_treatful.. {c |}{col 14}{res}{space 2} .0038758{col 26}{space 2} .0162766{col 37}{space 1}    0.24{col 46}{space 3}0.812{col 54}{space 4}-.0282348{col 67}{space 3} .0359863
{txt}{space 7}_cons {c |}{col 14}{res}{space 2}  .000124{col 26}{space 2} .0165427{col 37}{space 1}    0.01{col 46}{space 3}0.994{col 54}{space 4}-.0325114{col 67}{space 3} .0327594
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}note: bm_commresp_z_d omitted because of collinearity

Linear regression                               Number of obs     = {res}     7,204
                                                {txt}F(14, 186)        =  {res}     6.31
                                                {txt}Prob > F          = {res}    0.0000
                                                {txt}R-squared         = {res}    0.0173
                                                {txt}Root MSE          =    {res} .74916

{txt}{ralign 78:(Std. Err. adjusted for {res:187} clusters in hc_id)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}m_commresp_z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2}-.0038499{col 26}{space 2} .0274253{col 37}{space 1}   -0.14{col 46}{space 3}0.889{col 54}{space 4}-.0579545{col 67}{space 3} .0502547
{txt}bm_commres~z {c |}{col 14}{res}{space 2} .0762904{col 26}{space 2} .0129957{col 37}{space 1}    5.87{col 46}{space 3}0.000{col 54}{space 4} .0506524{col 67}{space 3} .1019284
{txt}bm_commres~d {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 1}c_tfull_hc2 {c |}{col 14}{res}{space 2}  .135923{col 26}{space 2} .0400357{col 37}{space 1}    3.40{col 46}{space 3}0.001{col 54}{space 4} .0569405{col 67}{space 3} .2149055
{txt}c_tfull_b_~l {c |}{col 14}{res}{space 2} .1063783{col 26}{space 2} .0476999{col 37}{space 1}    2.23{col 46}{space 3}0.027{col 54}{space 4} .0122758{col 67}{space 3} .2004807
{txt}c_tfull_b_~s {c |}{col 14}{res}{space 2} .0343112{col 26}{space 2} .0587651{col 37}{space 1}    0.58{col 46}{space 3}0.560{col 54}{space 4}-.0816207{col 67}{space 3} .1502431
{txt}c_tfull_bm~d {c |}{col 14}{res}{space 2}-.0157264{col 26}{space 2} .0430014{col 37}{space 1}   -0.37{col 46}{space 3}0.715{col 54}{space 4}-.1005595{col 67}{space 3} .0691067
{txt}c_tfull_bm~r {c |}{col 14}{res}{space 2} .0081174{col 26}{space 2} .0036257{col 37}{space 1}    2.24{col 46}{space 3}0.026{col 54}{space 4} .0009646{col 67}{space 3} .0152702
{txt}c_tfull_bm~x {c |}{col 14}{res}{space 2} .0210164{col 26}{space 2} .0155869{col 37}{space 1}    1.35{col 46}{space 3}0.179{col 54}{space 4}-.0097335{col 67}{space 3} .0517663
{txt}c_trea~l_hc2 {c |}{col 14}{res}{space 2}-.0920129{col 26}{space 2} .0606598{col 37}{space 1}   -1.52{col 46}{space 3}0.131{col 54}{space 4}-.2116826{col 67}{space 3} .0276568
{txt}c_treatful.. {c |}{col 14}{res}{space 2}-.1244367{col 26}{space 2}  .068872{col 37}{space 1}   -1.81{col 46}{space 3}0.072{col 54}{space 4}-.2603075{col 67}{space 3} .0114341
{txt}c_treatful.. {c |}{col 14}{res}{space 2} .0829461{col 26}{space 2} .0747601{col 37}{space 1}    1.11{col 46}{space 3}0.269{col 54}{space 4}-.0645407{col 67}{space 3} .2304329
{txt}c_treatful.. {c |}{col 14}{res}{space 2} .1339068{col 26}{space 2} .0656526{col 37}{space 1}    2.04{col 46}{space 3}0.043{col 54}{space 4} .0043873{col 67}{space 3} .2634264
{txt}c_treatful.. {c |}{col 14}{res}{space 2} .0053729{col 26}{space 2} .0051724{col 37}{space 1}    1.04{col 46}{space 3}0.300{col 54}{space 4}-.0048312{col 67}{space 3}  .015577
{txt}c_treatful.. {c |}{col 14}{res}{space 2} .0189333{col 26}{space 2} .0211767{col 37}{space 1}    0.89{col 46}{space 3}0.372{col 54}{space 4} -.022844{col 67}{space 3} .0607107
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} .0010097{col 26}{space 2} .0185055{col 37}{space 1}    0.05{col 46}{space 3}0.957{col 54}{space 4}-.0354979{col 67}{space 3} .0375173
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}note: bm_relhhhc_z_d omitted because of collinearity

Linear regression                               Number of obs     = {res}     7,204
                                                {txt}F(14, 186)        =  {res}     5.22
                                                {txt}Prob > F          = {res}    0.0000
                                                {txt}R-squared         = {res}    0.0638
                                                {txt}Root MSE          =    {res} .56709

{txt}{ralign 78:(Std. Err. adjusted for {res:187} clusters in hc_id)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1} m_relhhhc_z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2}-.0384368{col 26}{space 2}   .04442{col 37}{space 1}   -0.87{col 46}{space 3}0.388{col 54}{space 4}-.1260686{col 67}{space 3}  .049195
{txt}bm_relhhhc_z {c |}{col 14}{res}{space 2} .1872664{col 26}{space 2} .0337572{col 37}{space 1}    5.55{col 46}{space 3}0.000{col 54}{space 4} .1206702{col 67}{space 3} .2538627
{txt}bm_relhhhc~d {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 1}c_tfull_hc2 {c |}{col 14}{res}{space 2} .0148032{col 26}{space 2} .0695801{col 37}{space 1}    0.21{col 46}{space 3}0.832{col 54}{space 4}-.1224644{col 67}{space 3} .1520707
{txt}c_tfull_b_~l {c |}{col 14}{res}{space 2}-.1734213{col 26}{space 2} .0813821{col 37}{space 1}   -2.13{col 46}{space 3}0.034{col 54}{space 4}-.3339719{col 67}{space 3}-.0128707
{txt}c_tfull_b_~s {c |}{col 14}{res}{space 2} .1620685{col 26}{space 2}  .090142{col 37}{space 1}    1.80{col 46}{space 3}0.074{col 54}{space 4}-.0157636{col 67}{space 3} .3399007
{txt}c_tfull_bm~d {c |}{col 14}{res}{space 2} .1008447{col 26}{space 2}  .035505{col 37}{space 1}    2.84{col 46}{space 3}0.005{col 54}{space 4} .0308005{col 67}{space 3}  .170889
{txt}c_tfull_bm~r {c |}{col 14}{res}{space 2}-.0018976{col 26}{space 2} .0026296{col 37}{space 1}   -0.72{col 46}{space 3}0.471{col 54}{space 4}-.0070852{col 67}{space 3}   .00329
{txt}c_tfull_bm~x {c |}{col 14}{res}{space 2} .0193444{col 26}{space 2} .0116765{col 37}{space 1}    1.66{col 46}{space 3}0.099{col 54}{space 4}-.0036911{col 67}{space 3} .0423799
{txt}c_trea~l_hc2 {c |}{col 14}{res}{space 2}  .049493{col 26}{space 2} .1044559{col 37}{space 1}    0.47{col 46}{space 3}0.636{col 54}{space 4}-.1565776{col 67}{space 3} .2555636
{txt}c_treatful.. {c |}{col 14}{res}{space 2} .3139986{col 26}{space 2} .1368754{col 37}{space 1}    2.29{col 46}{space 3}0.023{col 54}{space 4} .0439708{col 67}{space 3} .5840264
{txt}c_treatful.. {c |}{col 14}{res}{space 2}-.2098913{col 26}{space 2} .1591331{col 37}{space 1}   -1.32{col 46}{space 3}0.189{col 54}{space 4}-.5238292{col 67}{space 3} .1040466
{txt}c_treatful.. {c |}{col 14}{res}{space 2}-.0163178{col 26}{space 2} .0591433{col 37}{space 1}   -0.28{col 46}{space 3}0.783{col 54}{space 4}-.1329957{col 67}{space 3} .1003602
{txt}c_treatful.. {c |}{col 14}{res}{space 2} .0054987{col 26}{space 2} .0039621{col 37}{space 1}    1.39{col 46}{space 3}0.167{col 54}{space 4}-.0023177{col 67}{space 3} .0133151
{txt}c_treatful.. {c |}{col 14}{res}{space 2} .0577132{col 26}{space 2} .0213051{col 37}{space 1}    2.71{col 46}{space 3}0.007{col 54}{space 4} .0156826{col 67}{space 3} .0997438
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} .0012829{col 26}{space 2} .0274671{col 37}{space 1}    0.05{col 46}{space 3}0.963{col 54}{space 4}-.0529042{col 67}{space 3} .0554701
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}.                 
.         eststo clear
{txt}
{com}.                         
.         foreach x in `intermediate_hclevel' {c -(}
{txt}  2{com}.                 reg  m_`x' `var' bm_`x' bm_`x'_d `m_controls_tfull_hc' ``var'_hc_int_m_controls' if uniquehc == 1, robust
{txt}  3{com}.                 local n_nofe_`x' = `e(N)'
{txt}  4{com}.                 local b_nofe_`x' = string(_b[treatfull],"%9.3fc")
{txt}  5{com}.                 local se_nofe_`x' =string(_se[treatfull],"%9.3fc")
{txt}  6{com}.                 local p_nofe_`x' = (2 * ttail(e(df_r), abs(_b[treatfull]/_se[treatfull])))
{txt}  7{com}.                         
.                 if `p_nofe_`x'' <= 0.1 & `p_nofe_`x'' > 0.05{c -(}
{txt}  8{com}.                         local b_nofe_`x' `b_nofe_`x''*
{txt}  9{com}.                 {c )-}
{txt} 10{com}.         
.                 if `p_nofe_`x'' <= 0.05 & `p_nofe_`x'' > 0.01{c -(}
{txt} 11{com}.                         local b_nofe_`x' `b_nofe_`x''**
{txt} 12{com}.                 {c )-}
{txt} 13{com}.                 
.                 if `p_nofe_`x'' <= 0.01 & `p_nofe_`x'' > 0 {c -(}
{txt} 14{com}.                         local b_nofe_`x' `b_nofe_`x''***
{txt} 15{com}.                 {c )-}
{txt} 16{com}.                 
.                 local csb_nofe_`x' = string(_b[_cons],"%9.3fc")
{txt} 17{com}.                 local csse_nofe_`x' =string(_se[_cons],"%9.3fc")
{txt} 18{com}.                 local p_nofe_`x' = (2 * ttail(e(df_r), abs(_b[_cons]/_se[_cons])))
{txt} 19{com}.                         
.                 if `p_nofe_`x'' <= 0.1 & `p_nofe_`x'' > 0.05{c -(}
{txt} 20{com}.                         local csb_nofe_`x' `csb_nofe_`x''*
{txt} 21{com}.                 {c )-}
{txt} 22{com}.         
.                 if `p_nofe_`x'' <= 0.05 & `p_nofe_`x'' > 0.01{c -(}
{txt} 23{com}.                         local csb_nofe_`x' `csb_nofe_`x''**
{txt} 24{com}.                 {c )-}
{txt} 25{com}.                 
.                 if `p_nofe_`x'' <= 0.01 & `p_nofe_`x'' > 0 {c -(}
{txt} 26{com}.                         local csb_nofe_`x' `csb_nofe_`x''***
{txt} 27{com}.                 {c )-}
{txt} 28{com}.                 
.                 {c )-}
{txt}note: bm_h_hcpknow_z_d omitted because of collinearity

Linear regression                               Number of obs     = {res}       187
                                                {txt}F(14, 172)        =  {res}     5.47
                                                {txt}Prob > F          = {res}    0.0000
                                                {txt}R-squared         = {res}    0.2095
                                                {txt}Root MSE          =    {res} .76142

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}m_h_hcpkno~z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2} .0884513{col 26}{space 2}  .109937{col 37}{space 1}    0.80{col 46}{space 3}0.422{col 54}{space 4}-.1285481{col 67}{space 3} .3054507
{txt}bm_h_hcpkn~z {c |}{col 14}{res}{space 2} .1587823{col 26}{space 2} .0670484{col 37}{space 1}    2.37{col 46}{space 3}0.019{col 54}{space 4} .0264387{col 67}{space 3} .2911258
{txt}bm_h_hcpkn~d {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
c_tf~_hc_hc2 {c |}{col 14}{res}{space 2}-.1412385{col 26}{space 2} .2352329{col 37}{space 1}   -0.60{col 46}{space 3}0.549{col 54}{space 4}-.6055534{col 67}{space 3} .3230765
{txt}c_tfull_hc~l {c |}{col 14}{res}{space 2} .0377558{col 26}{space 2} .2248222{col 37}{space 1}    0.17{col 46}{space 3}0.867{col 54}{space 4}  -.40601{col 67}{space 3} .4815216
{txt}c_tfull_hc~s {c |}{col 14}{res}{space 2} .2338551{col 26}{space 2} .2358536{col 37}{space 1}    0.99{col 46}{space 3}0.323{col 54}{space 4} -.231685{col 67}{space 3} .6993952
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2}-.2474662{col 26}{space 2} .6543227{col 37}{space 1}   -0.38{col 46}{space 3}0.706{col 54}{space 4}-1.539002{col 67}{space 3}  1.04407
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2} .0109666{col 26}{space 2} .0767801{col 37}{space 1}    0.14{col 46}{space 3}0.887{col 54}{space 4}-.1405859{col 67}{space 3} .1625191
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2}  .440852{col 26}{space 2} .2430422{col 37}{space 1}    1.81{col 46}{space 3}0.071{col 54}{space 4}-.0388774{col 67}{space 3} .9205815
{txt}c_treatful.. {c |}{col 14}{res}{space 2} -.045961{col 26}{space 2} .2969224{col 37}{space 1}   -0.15{col 46}{space 3}0.877{col 54}{space 4}-.6320418{col 67}{space 3} .5401199
{txt}c_treatful.. {c |}{col 14}{res}{space 2} .1861042{col 26}{space 2} .2952675{col 37}{space 1}    0.63{col 46}{space 3}0.529{col 54}{space 4}-.3967103{col 67}{space 3} .7689186
{txt}c_treatful.. {c |}{col 14}{res}{space 2}-.8150997{col 26}{space 2} .3339143{col 37}{space 1}   -2.44{col 46}{space 3}0.016{col 54}{space 4}-1.474197{col 67}{space 3}-.1560023
{txt}c_treatful.. {c |}{col 14}{res}{space 2}-2.151801{col 26}{space 2} 1.066067{col 37}{space 1}   -2.02{col 46}{space 3}0.045{col 54}{space 4} -4.25606{col 67}{space 3}-.0475421
{txt}c_treatful.. {c |}{col 14}{res}{space 2}-.1646969{col 26}{space 2} .1085659{col 37}{space 1}   -1.52{col 46}{space 3}0.131{col 54}{space 4}  -.37899{col 67}{space 3} .0495963
{txt}c_treatful.. {c |}{col 14}{res}{space 2} .0515198{col 26}{space 2} .3294426{col 37}{space 1}    0.16{col 46}{space 3}0.876{col 54}{space 4}-.5987512{col 67}{space 3} .7017909
{txt}{space 7}_cons {c |}{col 14}{res}{space 2}-.0094387{col 26}{space 2} .0831971{col 37}{space 1}   -0.11{col 46}{space 3}0.910{col 54}{space 4}-.1736574{col 67}{space 3}   .15478
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}note: bm_h_hctrans_z_d omitted because of collinearity

Linear regression                               Number of obs     = {res}       187
                                                {txt}F(14, 172)        =  {res}     3.92
                                                {txt}Prob > F          = {res}    0.0000
                                                {txt}R-squared         = {res}    0.2687
                                                {txt}Root MSE          =    {res} .43767

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}m_h_hctran~z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2}-.1029641{col 26}{space 2} .0635741{col 37}{space 1}   -1.62{col 46}{space 3}0.107{col 54}{space 4}-.2284499{col 67}{space 3} .0225217
{txt}bm_h_hctra~z {c |}{col 14}{res}{space 2} .0736485{col 26}{space 2} .0829136{col 37}{space 1}    0.89{col 46}{space 3}0.376{col 54}{space 4}-.0900106{col 67}{space 3} .2373076
{txt}bm_h_hctra~d {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
c_tf~_hc_hc2 {c |}{col 14}{res}{space 2}-.4435258{col 26}{space 2} .1398669{col 37}{space 1}   -3.17{col 46}{space 3}0.002{col 54}{space 4}-.7196024{col 67}{space 3}-.1674491
{txt}c_tfull_hc~l {c |}{col 14}{res}{space 2} .1939372{col 26}{space 2} .1103578{col 37}{space 1}    1.76{col 46}{space 3}0.081{col 54}{space 4}-.0238927{col 67}{space 3} .4117672
{txt}c_tfull_hc~s {c |}{col 14}{res}{space 2}-.0105244{col 26}{space 2} .1363611{col 37}{space 1}   -0.08{col 46}{space 3}0.939{col 54}{space 4}-.2796811{col 67}{space 3} .2586324
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2} .4185501{col 26}{space 2} .2669162{col 37}{space 1}    1.57{col 46}{space 3}0.119{col 54}{space 4} -.108303{col 67}{space 3} .9454031
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2}-.0290286{col 26}{space 2} .0517145{col 37}{space 1}   -0.56{col 46}{space 3}0.575{col 54}{space 4}-.1311054{col 67}{space 3} .0730482
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2} .2252888{col 26}{space 2} .1348883{col 37}{space 1}    1.67{col 46}{space 3}0.097{col 54}{space 4}-.0409607{col 67}{space 3} .4915383
{txt}c_treatful.. {c |}{col 14}{res}{space 2} .3303967{col 26}{space 2} .1646204{col 37}{space 1}    2.01{col 46}{space 3}0.046{col 54}{space 4} .0054604{col 67}{space 3}  .655333
{txt}c_treatful.. {c |}{col 14}{res}{space 2}-.0325489{col 26}{space 2} .1436393{col 37}{space 1}   -0.23{col 46}{space 3}0.821{col 54}{space 4}-.3160716{col 67}{space 3} .2509738
{txt}c_treatful.. {c |}{col 14}{res}{space 2} .0248753{col 26}{space 2} .1721641{col 37}{space 1}    0.14{col 46}{space 3}0.885{col 54}{space 4}-.3149511{col 67}{space 3} .3647017
{txt}c_treatful.. {c |}{col 14}{res}{space 2}-.7101173{col 26}{space 2} .5770602{col 37}{space 1}   -1.23{col 46}{space 3}0.220{col 54}{space 4}-1.849149{col 67}{space 3} .4289142
{txt}c_treatful.. {c |}{col 14}{res}{space 2} .0277659{col 26}{space 2} .0682822{col 37}{space 1}    0.41{col 46}{space 3}0.685{col 54}{space 4}-.1070131{col 67}{space 3} .1625449
{txt}c_treatful.. {c |}{col 14}{res}{space 2} -.129355{col 26}{space 2}  .187767{col 37}{space 1}   -0.69{col 46}{space 3}0.492{col 54}{space 4}-.4999792{col 67}{space 3} .2412692
{txt}{space 7}_cons {c |}{col 14}{res}{space 2}-.0106218{col 26}{space 2} .0506365{col 37}{space 1}   -0.21{col 46}{space 3}0.834{col 54}{space 4}-.1105708{col 67}{space 3} .0893271
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}.                 
.         *************************
.         * Agregated at HC level *
.         *************************
.         
.         foreach x of local intermediate {c -(}
{txt}  2{com}.                 byso hc_id : egen mean_m_`x' = mean(m_`x')
{txt}  3{com}.                 byso hc_id : egen mean_bm_`x' = mean(bm_`x')
{txt}  4{com}.                 byso hc_id : egen mean_bm_`x'_d = mean(bm_`x'_d)
{txt}  5{com}.                 {c )-}
{txt}
{com}.                 
.         * Already agregated just created for the form
.         
.         foreach x of local intermediate_hclevel {c -(}
{txt}  2{com}.                 byso hc_id : egen mean_m_`x' = mean(m_`x')
{txt}  3{com}.                 byso hc_id : egen mean_bm_`x' = mean(bm_`x')
{txt}  4{com}.                 byso hc_id : egen mean_bm_`x'_d = mean(bm_`x'_d)
{txt}  5{com}.                 {c )-}
{txt}
{com}.         
.         eststo clear
{txt}
{com}.         
.         local var treatfull
{txt}
{com}.         
.         foreach x in `intermediate' {c -(}
{txt}  2{com}.                 areg  mean_m_`x' `var' mean_bm_`x' mean_bm_`x'_d `m_controls_tfull' ``var'_int_m_controls' if uniquehc == 1, robust a(district)
{txt}  3{com}.                 local n_mean_`x' = `e(N)'
{txt}  4{com}.                 local b_mean_`x' = string(_b[treatfull],"%9.3fc")
{txt}  5{com}.                 local se_mean_`x' =string(_se[treatfull],"%9.3fc")
{txt}  6{com}.                 local p_mean_`x' = (2 * ttail(e(df_r), abs(_b[treatfull]/_se[treatfull])))
{txt}  7{com}.                         
.                 if `p_mean_`x'' <= 0.1 & `p_mean_`x'' > 0.05{c -(}
{txt}  8{com}.                         local b_mean_`x' `b_mean_`x''*
{txt}  9{com}.                 {c )-}
{txt} 10{com}.         
.                 if `p_mean_`x'' <= 0.05 & `p_mean_`x'' > 0.01{c -(}
{txt} 11{com}.                         local b_mean_`x' `b_mean_`x''**
{txt} 12{com}.                 {c )-}
{txt} 13{com}.                 
.                 if `p_mean_`x'' <= 0.01 & `p_mean_`x'' > 0 {c -(}
{txt} 14{com}.                         local b_mean_`x' `b_mean_`x''***
{txt} 15{com}.                 {c )-}
{txt} 16{com}.                 
.                 local csb_mean_`x' = string(_b[_cons],"%9.3fc")
{txt} 17{com}.                 local csse_mean_`x' =string(_se[_cons],"%9.3fc")
{txt} 18{com}.                 local p_mean_`x' = (2 * ttail(e(df_r), abs(_b[_cons]/_se[_cons])))
{txt} 19{com}.                         
.                 if `p_mean_`x'' <= 0.1 & `p_mean_`x'' > 0.05{c -(}
{txt} 20{com}.                         local csb_mean_`x' `csb_mean_`x''*
{txt} 21{com}.                 {c )-}
{txt} 22{com}.         
.                 if `p_mean_`x'' <= 0.05 & `p_mean_`x'' > 0.01{c -(}
{txt} 23{com}.                         local csb_mean_`x' `csb_mean_`x''**
{txt} 24{com}.                 {c )-}
{txt} 25{com}.                 
.                 if `p_mean_`x'' <= 0.01 & `p_mean_`x'' > 0 {c -(}
{txt} 26{com}.                         local csb_mean_`x' `csb_mean_`x''***
{txt} 27{com}.                 {c )-}
{txt} 28{com}.                 
.                 {c )-}
{p 0 6 2}{txt}note: mean_bm_ctzknow_z_d omitted because of collinearity{p_end}
{res}
{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}       187
{txt}{col 49}F({res}  14{txt},{res}    157{txt}){col 67}= {res}     10.02
{txt}{col 49}Prob > F{col 67}= {res}    0.0000
{txt}{col 49}R-squared{col 67}= {res}    0.7339
{txt}{col 49}Adj R-squared{col 67}= {res}    0.6847
{txt}{col 49}Root MSE{col 67}= {res}    0.1725

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}mean_m_ctz~z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2} .0079084{col 26}{space 2} .0251183{col 37}{space 1}    0.31{col 46}{space 3}0.753{col 54}{space 4} -.041705{col 67}{space 3} .0575218
{txt}mean_bm_ct~z {c |}{col 14}{res}{space 2} .0894664{col 26}{space 2} .0719279{col 37}{space 1}    1.24{col 46}{space 3}0.215{col 54}{space 4}-.0526048{col 67}{space 3} .2315375
{txt}mean_bm_ct~d {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 1}c_tfull_hc2 {c |}{col 14}{res}{space 2}-.2575291{col 26}{space 2} .0475315{col 37}{space 1}   -5.42{col 46}{space 3}0.000{col 54}{space 4}-.3514129{col 67}{space 3}-.1636454
{txt}c_tfull_b_~l {c |}{col 14}{res}{space 2} .0952046{col 26}{space 2} .0597262{col 37}{space 1}    1.59{col 46}{space 3}0.113{col 54}{space 4}-.0227659{col 67}{space 3} .2131751
{txt}c_tfull_b_~s {c |}{col 14}{res}{space 2}-.1349578{col 26}{space 2} .0623439{col 37}{space 1}   -2.16{col 46}{space 3}0.032{col 54}{space 4}-.2580987{col 67}{space 3}-.0118169
{txt}c_tfull_bm~d {c |}{col 14}{res}{space 2} .0403404{col 26}{space 2} .0654532{col 37}{space 1}    0.62{col 46}{space 3}0.539{col 54}{space 4} -.088942{col 67}{space 3} .1696228
{txt}c_tfull_bm~r {c |}{col 14}{res}{space 2} .0029004{col 26}{space 2}  .003958{col 37}{space 1}    0.73{col 46}{space 3}0.465{col 54}{space 4}-.0049174{col 67}{space 3} .0107182
{txt}c_tfull_bm~x {c |}{col 14}{res}{space 2} .0102795{col 26}{space 2} .0207717{col 37}{space 1}    0.49{col 46}{space 3}0.621{col 54}{space 4}-.0307485{col 67}{space 3} .0513074
{txt}c_trea~l_hc2 {c |}{col 14}{res}{space 2} .0871058{col 26}{space 2} .0619867{col 37}{space 1}    1.41{col 46}{space 3}0.162{col 54}{space 4}-.0353297{col 67}{space 3} .2095414
{txt}c_treatful.. {c |}{col 14}{res}{space 2} .0610325{col 26}{space 2} .0697038{col 37}{space 1}    0.88{col 46}{space 3}0.383{col 54}{space 4}-.0766457{col 67}{space 3} .1987106
{txt}c_treatful.. {c |}{col 14}{res}{space 2} .0376809{col 26}{space 2}  .084456{col 37}{space 1}    0.45{col 46}{space 3}0.656{col 54}{space 4}-.1291357{col 67}{space 3} .2044976
{txt}c_treatful.. {c |}{col 14}{res}{space 2} .0927179{col 26}{space 2} .0854393{col 37}{space 1}    1.09{col 46}{space 3}0.280{col 54}{space 4}-.0760408{col 67}{space 3} .2614766
{txt}c_treatful.. {c |}{col 14}{res}{space 2} .0038593{col 26}{space 2} .0062198{col 37}{space 1}    0.62{col 46}{space 3}0.536{col 54}{space 4}-.0084259{col 67}{space 3} .0161445
{txt}c_treatful.. {c |}{col 14}{res}{space 2}-.0044242{col 26}{space 2} .0254742{col 37}{space 1}   -0.17{col 46}{space 3}0.862{col 54}{space 4}-.0547406{col 67}{space 3} .0458922
{txt}{space 7}_cons {c |}{col 14}{res}{space 2}-.0105167{col 26}{space 2} .0179834{col 37}{space 1}   -0.58{col 46}{space 3}0.560{col 54}{space 4}-.0460373{col 67}{space 3} .0250039
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)
{p 0 6 2}note: mean_bm_eff_z_d omitted because of collinearity{p_end}
{res}
{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}       187
{txt}{col 49}F({res}  14{txt},{res}    157{txt}){col 67}= {res}      1.31
{txt}{col 49}Prob > F{col 67}= {res}    0.2071
{txt}{col 49}R-squared{col 67}= {res}    0.3220
{txt}{col 49}Adj R-squared{col 67}= {res}    0.1967
{txt}{col 49}Root MSE{col 67}= {res}    0.1427

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}mean_m_eff_z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2}  .036224{col 26}{space 2} .0217836{col 37}{space 1}    1.66{col 46}{space 3}0.098{col 54}{space 4}-.0068027{col 67}{space 3} .0792507
{txt}mean_bm_ef~z {c |}{col 14}{res}{space 2} .1187463{col 26}{space 2} .0805359{col 37}{space 1}    1.47{col 46}{space 3}0.142{col 54}{space 4}-.0403273{col 67}{space 3} .2778199
{txt}mean_bm_ef~d {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 1}c_tfull_hc2 {c |}{col 14}{res}{space 2}-.0057771{col 26}{space 2} .0413623{col 37}{space 1}   -0.14{col 46}{space 3}0.889{col 54}{space 4}-.0874753{col 67}{space 3} .0759212
{txt}c_tfull_b_~l {c |}{col 14}{res}{space 2}-.0042461{col 26}{space 2} .0521269{col 37}{space 1}   -0.08{col 46}{space 3}0.935{col 54}{space 4}-.1072066{col 67}{space 3} .0987144
{txt}c_tfull_b_~s {c |}{col 14}{res}{space 2} .0383346{col 26}{space 2} .0501768{col 37}{space 1}    0.76{col 46}{space 3}0.446{col 54}{space 4}-.0607741{col 67}{space 3} .1374434
{txt}c_tfull_bm~d {c |}{col 14}{res}{space 2}-.0334984{col 26}{space 2}  .054978{col 37}{space 1}   -0.61{col 46}{space 3}0.543{col 54}{space 4}-.1420905{col 67}{space 3} .0750936
{txt}c_tfull_bm~r {c |}{col 14}{res}{space 2}-.0033027{col 26}{space 2} .0038659{col 37}{space 1}   -0.85{col 46}{space 3}0.394{col 54}{space 4}-.0109387{col 67}{space 3} .0043333
{txt}c_tfull_bm~x {c |}{col 14}{res}{space 2}-.0087246{col 26}{space 2} .0189724{col 37}{space 1}   -0.46{col 46}{space 3}0.646{col 54}{space 4}-.0461987{col 67}{space 3} .0287495
{txt}c_trea~l_hc2 {c |}{col 14}{res}{space 2} .0178065{col 26}{space 2} .0525949{col 37}{space 1}    0.34{col 46}{space 3}0.735{col 54}{space 4}-.0860783{col 67}{space 3} .1216914
{txt}c_treatful.. {c |}{col 14}{res}{space 2} .0261789{col 26}{space 2} .0608511{col 37}{space 1}    0.43{col 46}{space 3}0.668{col 54}{space 4}-.0940136{col 67}{space 3} .1463713
{txt}c_treatful.. {c |}{col 14}{res}{space 2}-.0633652{col 26}{space 2} .0625926{col 37}{space 1}   -1.01{col 46}{space 3}0.313{col 54}{space 4}-.1869975{col 67}{space 3}  .060267
{txt}c_treatful.. {c |}{col 14}{res}{space 2} .1493352{col 26}{space 2} .0677253{col 37}{space 1}    2.21{col 46}{space 3}0.029{col 54}{space 4} .0155648{col 67}{space 3} .2831055
{txt}c_treatful.. {c |}{col 14}{res}{space 2} .0017184{col 26}{space 2} .0055018{col 37}{space 1}    0.31{col 46}{space 3}0.755{col 54}{space 4}-.0091487{col 67}{space 3} .0125855
{txt}c_treatful.. {c |}{col 14}{res}{space 2} .0187491{col 26}{space 2} .0224408{col 37}{space 1}    0.84{col 46}{space 3}0.405{col 54}{space 4}-.0255757{col 67}{space 3} .0630739
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} .0026868{col 26}{space 2} .0147508{col 37}{space 1}    0.18{col 46}{space 3}0.856{col 54}{space 4}-.0264489{col 67}{space 3} .0318224
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)
{p 0 6 2}note: mean_bm_commresp_z_d omitted because of collinearity{p_end}
{res}
{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}       187
{txt}{col 49}F({res}  14{txt},{res}    157{txt}){col 67}= {res}      0.99
{txt}{col 49}Prob > F{col 67}= {res}    0.4697
{txt}{col 49}R-squared{col 67}= {res}    0.4450
{txt}{col 49}Adj R-squared{col 67}= {res}    0.3425
{txt}{col 49}Root MSE{col 67}= {res}    0.1593

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}mean_m_com~z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2} .0092484{col 26}{space 2} .0237386{col 37}{space 1}    0.39{col 46}{space 3}0.697{col 54}{space 4}-.0376399{col 67}{space 3} .0561367
{txt}mean_bm_co~z {c |}{col 14}{res}{space 2} .2043731{col 26}{space 2} .1128251{col 37}{space 1}    1.81{col 46}{space 3}0.072{col 54}{space 4}-.0184778{col 67}{space 3}  .427224
{txt}mean_bm_co~d {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 1}c_tfull_hc2 {c |}{col 14}{res}{space 2} .0710854{col 26}{space 2} .0410983{col 37}{space 1}    1.73{col 46}{space 3}0.086{col 54}{space 4}-.0100916{col 67}{space 3} .1522624
{txt}c_tfull_b_~l {c |}{col 14}{res}{space 2} .0505115{col 26}{space 2} .0486368{col 37}{space 1}    1.04{col 46}{space 3}0.301{col 54}{space 4}-.0455555{col 67}{space 3} .1465784
{txt}c_tfull_b_~s {c |}{col 14}{res}{space 2}-.0663105{col 26}{space 2} .0524073{col 37}{space 1}   -1.27{col 46}{space 3}0.208{col 54}{space 4}-.1698249{col 67}{space 3} .0372039
{txt}c_tfull_bm~d {c |}{col 14}{res}{space 2}-.0538881{col 26}{space 2} .0763025{col 37}{space 1}   -0.71{col 46}{space 3}0.481{col 54}{space 4}-.2045999{col 67}{space 3} .0968237
{txt}c_tfull_bm~r {c |}{col 14}{res}{space 2} .0025476{col 26}{space 2} .0039005{col 37}{space 1}    0.65{col 46}{space 3}0.515{col 54}{space 4}-.0051567{col 67}{space 3} .0102518
{txt}c_tfull_bm~x {c |}{col 14}{res}{space 2}-.0136913{col 26}{space 2} .0183983{col 37}{space 1}   -0.74{col 46}{space 3}0.458{col 54}{space 4}-.0500315{col 67}{space 3} .0226489
{txt}c_trea~l_hc2 {c |}{col 14}{res}{space 2}-.0493785{col 26}{space 2} .0597872{col 37}{space 1}   -0.83{col 46}{space 3}0.410{col 54}{space 4}-.1674695{col 67}{space 3} .0687125
{txt}c_treatful.. {c |}{col 14}{res}{space 2}-.0582256{col 26}{space 2} .0671024{col 37}{space 1}   -0.87{col 46}{space 3}0.387{col 54}{space 4}-.1907654{col 67}{space 3} .0743143
{txt}c_treatful.. {c |}{col 14}{res}{space 2} .0522412{col 26}{space 2}  .066872{col 37}{space 1}    0.78{col 46}{space 3}0.436{col 54}{space 4}-.0798437{col 67}{space 3}  .184326
{txt}c_treatful.. {c |}{col 14}{res}{space 2}-.0157634{col 26}{space 2} .1085097{col 37}{space 1}   -0.15{col 46}{space 3}0.885{col 54}{space 4}-.2300906{col 67}{space 3} .1985639
{txt}c_treatful.. {c |}{col 14}{res}{space 2}-.0027948{col 26}{space 2} .0057175{col 37}{space 1}   -0.49{col 46}{space 3}0.626{col 54}{space 4}-.0140879{col 67}{space 3} .0084983
{txt}c_treatful.. {c |}{col 14}{res}{space 2}-.0063345{col 26}{space 2} .0260575{col 37}{space 1}   -0.24{col 46}{space 3}0.808{col 54}{space 4} -.057803{col 67}{space 3}  .045134
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} .0007526{col 26}{space 2} .0172011{col 37}{space 1}    0.04{col 46}{space 3}0.965{col 54}{space 4}-.0332227{col 67}{space 3}  .034728
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)
{p 0 6 2}note: mean_bm_relhhhc_z_d omitted because of collinearity{p_end}
{res}
{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}       187
{txt}{col 49}F({res}  14{txt},{res}    157{txt}){col 67}= {res}      1.61
{txt}{col 49}Prob > F{col 67}= {res}    0.0829
{txt}{col 49}R-squared{col 67}= {res}    0.2722
{txt}{col 49}Adj R-squared{col 67}= {res}    0.1378
{txt}{col 49}Root MSE{col 67}= {res}    0.3111

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}mean_m_rel~z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2}-.0505116{col 26}{space 2} .0489814{col 37}{space 1}   -1.03{col 46}{space 3}0.304{col 54}{space 4}-.1472591{col 67}{space 3} .0462359
{txt}mean_bm_re~z {c |}{col 14}{res}{space 2} .2316887{col 26}{space 2} .0878779{col 37}{space 1}    2.64{col 46}{space 3}0.009{col 54}{space 4} .0581133{col 67}{space 3} .4052642
{txt}mean_bm_re~d {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 1}c_tfull_hc2 {c |}{col 14}{res}{space 2} .0319488{col 26}{space 2} .0801432{col 37}{space 1}    0.40{col 46}{space 3}0.691{col 54}{space 4}-.1263491{col 67}{space 3} .1902468
{txt}c_tfull_b_~l {c |}{col 14}{res}{space 2}-.1017408{col 26}{space 2} .0961526{col 37}{space 1}   -1.06{col 46}{space 3}0.292{col 54}{space 4}-.2916603{col 67}{space 3} .0881788
{txt}c_tfull_b_~s {c |}{col 14}{res}{space 2} .1693292{col 26}{space 2}  .108051{col 37}{space 1}    1.57{col 46}{space 3}0.119{col 54}{space 4}-.0440919{col 67}{space 3} .3827503
{txt}c_tfull_bm~d {c |}{col 14}{res}{space 2} -.015636{col 26}{space 2} .1260926{col 37}{space 1}   -0.12{col 46}{space 3}0.901{col 54}{space 4}-.2646928{col 67}{space 3} .2334207
{txt}c_tfull_bm~r {c |}{col 14}{res}{space 2} .0005879{col 26}{space 2} .0064745{col 37}{space 1}    0.09{col 46}{space 3}0.928{col 54}{space 4}-.0122004{col 67}{space 3} .0133762
{txt}c_tfull_bm~x {c |}{col 14}{res}{space 2} .0207123{col 26}{space 2} .0423801{col 37}{space 1}    0.49{col 46}{space 3}0.626{col 54}{space 4}-.0629963{col 67}{space 3}  .104421
{txt}c_trea~l_hc2 {c |}{col 14}{res}{space 2} .0523304{col 26}{space 2} .1134953{col 37}{space 1}    0.46{col 46}{space 3}0.645{col 54}{space 4}-.1718444{col 67}{space 3} .2765051
{txt}c_treatful.. {c |}{col 14}{res}{space 2} .2911065{col 26}{space 2} .1418647{col 37}{space 1}    2.05{col 46}{space 3}0.042{col 54}{space 4}  .010897{col 67}{space 3} .5713161
{txt}c_treatful.. {c |}{col 14}{res}{space 2}-.1697584{col 26}{space 2} .1706917{col 37}{space 1}   -0.99{col 46}{space 3}0.321{col 54}{space 4}-.5069067{col 67}{space 3} .1673899
{txt}c_treatful.. {c |}{col 14}{res}{space 2} .1639066{col 26}{space 2} .1922231{col 37}{space 1}    0.85{col 46}{space 3}0.395{col 54}{space 4}-.2157704{col 67}{space 3} .5435836
{txt}c_treatful.. {c |}{col 14}{res}{space 2}-.0107473{col 26}{space 2} .0110042{col 37}{space 1}   -0.98{col 46}{space 3}0.330{col 54}{space 4}-.0324826{col 67}{space 3}  .010988
{txt}c_treatful.. {c |}{col 14}{res}{space 2} .0942506{col 26}{space 2} .0556449{col 37}{space 1}    1.69{col 46}{space 3}0.092{col 54}{space 4}-.0156587{col 67}{space 3} .2041598
{txt}{space 7}_cons {c |}{col 14}{res}{space 2}  .001262{col 26}{space 2} .0304769{col 37}{space 1}    0.04{col 46}{space 3}0.967{col 54}{space 4}-.0589357{col 67}{space 3} .0614597
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{com}.                 
.         eststo clear
{txt}
{com}.                         
.         foreach x in `intermediate_hclevel' {c -(}
{txt}  2{com}.                 areg  mean_m_`x' `var' mean_bm_`x' mean_bm_`x'_d `m_controls_tfull_hc' ``var'_hc_int_m_controls' if uniquehc == 1, robust a(district)
{txt}  3{com}.                 local n_mean_`x' = `e(N)'
{txt}  4{com}.                 local b_mean_`x' = string(_b[treatfull],"%9.3fc")
{txt}  5{com}.                 local se_mean_`x' =string(_se[treatfull],"%9.3fc")
{txt}  6{com}.                 local p_mean_`x' = (2 * ttail(e(df_r), abs(_b[treatfull]/_se[treatfull])))
{txt}  7{com}.                         
.                 if `p_mean_`x'' <= 0.1 & `p_mean_`x'' > 0.05{c -(}
{txt}  8{com}.                         local b_mean_`x' `b_mean_`x''*
{txt}  9{com}.                 {c )-}
{txt} 10{com}.         
.                 if `p_mean_`x'' <= 0.05 & `p_mean_`x'' > 0.01{c -(}
{txt} 11{com}.                         local b_mean_`x' `b_mean_`x''**
{txt} 12{com}.                 {c )-}
{txt} 13{com}.                 
.                 if `p_mean_`x'' <= 0.01 & `p_mean_`x'' > 0 {c -(}
{txt} 14{com}.                         local b_mean_`x' `b_mean_`x''***
{txt} 15{com}.                 {c )-}
{txt} 16{com}.                 
.                 local csb_mean_`x' = string(_b[_cons],"%9.3fc")
{txt} 17{com}.                 local csse_mean_`x' =string(_se[_cons],"%9.3fc")
{txt} 18{com}.                 local p_mean_`x' = (2 * ttail(e(df_r), abs(_b[_cons]/_se[_cons])))
{txt} 19{com}.                         
.                 if `p_mean_`x'' <= 0.1 & `p_mean_`x'' > 0.05{c -(}
{txt} 20{com}.                         local csb_mean_`x' `csb_mean_`x''*
{txt} 21{com}.                 {c )-}
{txt} 22{com}.         
.                 if `p_mean_`x'' <= 0.05 & `p_mean_`x'' > 0.01{c -(}
{txt} 23{com}.                         local csb_mean_`x' `csb_mean_`x''**
{txt} 24{com}.                 {c )-}
{txt} 25{com}.                 
.                 if `p_mean_`x'' <= 0.01 & `p_mean_`x'' > 0 {c -(}
{txt} 26{com}.                         local csb_mean_`x' `csb_mean_`x''***
{txt} 27{com}.                 {c )-}
{txt} 28{com}.                 
.                 {c )-}
{p 0 6 2}{txt}note: mean_bm_h_hcpknow_z_d omitted because of collinearity{p_end}
{res}
{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}       187
{txt}{col 49}F({res}  14{txt},{res}    157{txt}){col 67}= {res}      3.52
{txt}{col 49}Prob > F{col 67}= {res}    0.0000
{txt}{col 49}R-squared{col 67}= {res}    0.4420
{txt}{col 49}Adj R-squared{col 67}= {res}    0.3389
{txt}{col 49}Root MSE{col 67}= {res}    0.6696

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}mean_m_h~w_z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2} .0840321{col 26}{space 2} .0985424{col 37}{space 1}    0.85{col 46}{space 3}0.395{col 54}{space 4}-.1106079{col 67}{space 3}  .278672
{txt}mean_bm_h_.. {c |}{col 14}{res}{space 2} .1098253{col 26}{space 2} .0635266{col 37}{space 1}    1.73{col 46}{space 3}0.086{col 54}{space 4}-.0156518{col 67}{space 3} .2353023
{txt}me~pknow_z_d {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
c_tf~_hc_hc2 {c |}{col 14}{res}{space 2} -.059317{col 26}{space 2} .2015914{col 37}{space 1}   -0.29{col 46}{space 3}0.769{col 54}{space 4}-.4574981{col 67}{space 3} .3388641
{txt}c_tfull_hc~l {c |}{col 14}{res}{space 2} .2788633{col 26}{space 2} .2187806{col 37}{space 1}    1.27{col 46}{space 3}0.204{col 54}{space 4}-.1532697{col 67}{space 3} .7109964
{txt}c_tfull_hc~s {c |}{col 14}{res}{space 2} .4390921{col 26}{space 2} .2516354{col 37}{space 1}    1.74{col 46}{space 3}0.083{col 54}{space 4}-.0579353{col 67}{space 3} .9361196
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2}-.1534442{col 26}{space 2} .5953136{col 37}{space 1}   -0.26{col 46}{space 3}0.797{col 54}{space 4}-1.329301{col 67}{space 3} 1.022413
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2}-.0268957{col 26}{space 2} .0767315{col 37}{space 1}   -0.35{col 46}{space 3}0.726{col 54}{space 4}-.1784548{col 67}{space 3} .1246635
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2} .4196941{col 26}{space 2} .2319607{col 37}{space 1}    1.81{col 46}{space 3}0.072{col 54}{space 4}-.0384722{col 67}{space 3} .8778604
{txt}c_treatful.. {c |}{col 14}{res}{space 2}-.0067486{col 26}{space 2} .2557839{col 37}{space 1}   -0.03{col 46}{space 3}0.979{col 54}{space 4}-.5119701{col 67}{space 3} .4984729
{txt}c_treatful.. {c |}{col 14}{res}{space 2}  .025945{col 26}{space 2} .2767911{col 37}{space 1}    0.09{col 46}{space 3}0.925{col 54}{space 4}-.5207697{col 67}{space 3} .5726597
{txt}c_treatful.. {c |}{col 14}{res}{space 2}-.6009797{col 26}{space 2} .3255884{col 37}{space 1}   -1.85{col 46}{space 3}0.067{col 54}{space 4}-1.244078{col 67}{space 3}  .042119
{txt}c_treatful.. {c |}{col 14}{res}{space 2}-1.290801{col 26}{space 2} 1.041012{col 37}{space 1}   -1.24{col 46}{space 3}0.217{col 54}{space 4}-3.346997{col 67}{space 3} .7653956
{txt}c_treatful.. {c |}{col 14}{res}{space 2}-.1250458{col 26}{space 2} .0999482{col 37}{space 1}   -1.25{col 46}{space 3}0.213{col 54}{space 4}-.3224623{col 67}{space 3} .0723707
{txt}c_treatful.. {c |}{col 14}{res}{space 2} .1470674{col 26}{space 2} .2945363{col 37}{space 1}    0.50{col 46}{space 3}0.618{col 54}{space 4}-.4346975{col 67}{space 3} .7288323
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} -.006265{col 26}{space 2} .0723245{col 37}{space 1}   -0.09{col 46}{space 3}0.931{col 54}{space 4}-.1491197{col 67}{space 3} .1365896
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)
{p 0 6 2}note: mean_bm_h_hctrans_z_d omitted because of collinearity{p_end}
{res}
{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}       187
{txt}{col 49}F({res}  14{txt},{res}    157{txt}){col 67}= {res}      4.13
{txt}{col 49}Prob > F{col 67}= {res}    0.0000
{txt}{col 49}R-squared{col 67}= {res}    0.3518
{txt}{col 49}Adj R-squared{col 67}= {res}    0.2320
{txt}{col 49}Root MSE{col 67}= {res}    0.4313

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}mean_m_h~s_z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2}-.0898658{col 26}{space 2}  .064074{col 37}{space 1}   -1.40{col 46}{space 3}0.163{col 54}{space 4}-.2164242{col 67}{space 3} .0366925
{txt}mean_bm_~s_z {c |}{col 14}{res}{space 2} .1135095{col 26}{space 2} .0740089{col 37}{space 1}    1.53{col 46}{space 3}0.127{col 54}{space 4} -.032672{col 67}{space 3} .2596911
{txt}mean_b~s_z_d {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
c_tf~_hc_hc2 {c |}{col 14}{res}{space 2}-.4480621{col 26}{space 2} .1406269{col 37}{space 1}   -3.19{col 46}{space 3}0.002{col 54}{space 4}-.7258267{col 67}{space 3}-.1702974
{txt}c_tfull_hc~l {c |}{col 14}{res}{space 2} .2416671{col 26}{space 2} .1377871{col 37}{space 1}    1.75{col 46}{space 3}0.081{col 54}{space 4}-.0304885{col 67}{space 3} .5138228
{txt}c_tfull_hc~s {c |}{col 14}{res}{space 2}-.1780772{col 26}{space 2} .1665635{col 37}{space 1}   -1.07{col 46}{space 3}0.287{col 54}{space 4}-.5070717{col 67}{space 3} .1509172
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2} .1306381{col 26}{space 2} .3123773{col 37}{space 1}    0.42{col 46}{space 3}0.676{col 54}{space 4}-.4863662{col 67}{space 3} .7476424
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2}-.0262563{col 26}{space 2} .0511906{col 37}{space 1}   -0.51{col 46}{space 3}0.609{col 54}{space 4}-.1273674{col 67}{space 3} .0748549
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2} .2591694{col 26}{space 2} .1492061{col 37}{space 1}    1.74{col 46}{space 3}0.084{col 54}{space 4}-.0355408{col 67}{space 3} .5538796
{txt}c_treatful.. {c |}{col 14}{res}{space 2} .3217611{col 26}{space 2} .1672678{col 37}{space 1}    1.92{col 46}{space 3}0.056{col 54}{space 4}-.0086243{col 67}{space 3} .6521466
{txt}c_treatful.. {c |}{col 14}{res}{space 2}-.0600451{col 26}{space 2} .1588687{col 37}{space 1}   -0.38{col 46}{space 3}0.706{col 54}{space 4}-.3738409{col 67}{space 3} .2537506
{txt}c_treatful.. {c |}{col 14}{res}{space 2} .1422794{col 26}{space 2} .1739578{col 37}{space 1}    0.82{col 46}{space 3}0.415{col 54}{space 4}-.2013201{col 67}{space 3} .4858789
{txt}c_treatful.. {c |}{col 14}{res}{space 2}-1.050456{col 26}{space 2} .6356464{col 37}{space 1}   -1.65{col 46}{space 3}0.100{col 54}{space 4}-2.305978{col 67}{space 3} .2050662
{txt}c_treatful.. {c |}{col 14}{res}{space 2} .0148306{col 26}{space 2} .0689117{col 37}{space 1}    0.22{col 46}{space 3}0.830{col 54}{space 4} -.121283{col 67}{space 3} .1509443
{txt}c_treatful.. {c |}{col 14}{res}{space 2}-.0565351{col 26}{space 2} .1882854{col 37}{space 1}   -0.30{col 46}{space 3}0.764{col 54}{space 4}-.4284343{col 67}{space 3} .3153641
{txt}{space 7}_cons {c |}{col 14}{res}{space 2}-.0163456{col 26}{space 2} .0495107{col 37}{space 1}   -0.33{col 46}{space 3}0.742{col 54}{space 4}-.1141386{col 67}{space 3} .0814473
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{com}.                 
.         ***********************************
.         * Diff in Diff midline - baseline *
.         ***********************************
.         
.         local add_control
{txt}
{com}.                 
.         foreach var of local intermediate {c -(}
{txt}  2{com}.                 local add_control `add_control' bm_`var'_d
{txt}  3{com}.                 {c )-}
{txt}
{com}.                 
.         foreach var of local intermediate_hclevel {c -(}
{txt}  2{com}.                 local add_control `add_control' bm_`var'_d
{txt}  3{com}.                 {c )-}
{txt}
{com}.         
.         local var treatfull
{txt}
{com}.         
.         local bm_intermediate bm_ctzknow_z bm_eff_z bm_commresp_z bm_relhhhc_z
{txt}
{com}.         local m_intermediate m_ctzknow_z m_eff_z m_commresp_z m_relhhhc_z
{txt}
{com}.         
.         local bm_intermediate_hclevel bm_h_hcpknow_z bm_h_hctrans_z
{txt}
{com}.         local m_intermediate_hclevel m_h_hcpknow_z m_h_hctrans_z
{txt}
{com}.         
.         keep hh_id hc_id `add_control' `bm_intermediate' `bm_intermediate_hclevel' `m_intermediate' `m_intermediate_hclevel' `m_controls_tfull_hc' `m_controls_tfull_hom' ``var'_hc_int_m_controls' `m_controls_tfull' ``var'_int_m_controls' `tfulli_hom_m_controls'  district uniquehc treatfull midline_presence
{txt}
{com}.         
.         gen nomeasure_midline = 0
{txt}
{com}.         replace nomeasure_midline = 1 if midline_presence == 0
{txt}(836 real changes made)

{com}.         
.         
.         foreach x of local intermediate {c -(}
{txt}  2{com}.                 ren bm_`x' `x'_bm
{txt}  3{com}.                 ren m_`x' `x'_m
{txt}  4{com}.                 {c )-}
{res}{txt}
{com}.                 
.         foreach x of local intermediate_hclevel {c -(}
{txt}  2{com}.                 ren bm_`x' `x'_bm
{txt}  3{com}.                 ren m_`x' `x'_m
{txt}  4{com}.                 {c )-}
{res}{txt}
{com}.                 
.         reshape long `intermediate' `intermediate_hclevel', i(hh_id) j(num) s
{txt}(note: j = _bm _m)

Data{col 36}wide{col 43}->{col 48}long
{hline 77}
Number of obs.                 {res}   15295   {txt}->{res}   30590
{txt}Number of variables            {res}      61   {txt}->{res}      56
{txt}j variable (2 values)                     ->   {res}num
{txt}xij variables:
               {res}ctzknow_z_bm ctzknow_z_m   {txt}->   {res}ctzknow_z
                       eff_z_bm eff_z_m   {txt}->   {res}eff_z
             commresp_z_bm commresp_z_m   {txt}->   {res}commresp_z
               relhhhc_z_bm relhhhc_z_m   {txt}->   {res}relhhhc_z
           h_hcpknow_z_bm h_hcpknow_z_m   {txt}->   {res}h_hcpknow_z
           h_hctrans_z_bm h_hctrans_z_m   {txt}->   {res}h_hctrans_z
{txt}{hline 77}

{com}.         
.         gen y15 = (num == "_m")
{txt}
{com}.         
.         drop num
{txt}
{com}.         
.         gen t_15 = treatfull*y15
{txt}(15,354 missing values generated)

{com}.         
.         eststo clear
{txt}
{com}.         
.         foreach x in `intermediate' {c -(}
{txt}  2{com}.                 areg `x' t_15 y15 bm_`x'_d `m_controls_tfull' ``var'_int_m_controls' if midline_presence == 1, robust cl(hc_id) a(district)
{txt}  3{com}.                 local n_dd_`x' = `e(N)'
{txt}  4{com}.                 local b_dd_`x' = string(_b[t_15],"%9.3fc")
{txt}  5{com}.                 local se_dd_`x' =string(_se[t_15],"%9.3fc")
{txt}  6{com}.                 local p_dd_`x' = (2 * ttail(e(df_r), abs(_b[t_15]/_se[t_15])))
{txt}  7{com}.                         
.                 if `p_dd_`x'' <= 0.1 & `p_dd_`x'' > 0.05{c -(}
{txt}  8{com}.                         local b_dd_`x' `b_dd_`x''*
{txt}  9{com}.                 {c )-}
{txt} 10{com}.         
.                 if `p_dd_`x'' <= 0.05 & `p_dd_`x'' > 0.01{c -(}
{txt} 11{com}.                         local b_dd_`x' `b_dd_`x''**
{txt} 12{com}.                 {c )-}
{txt} 13{com}.                 
.                 if `p_dd_`x'' <= 0.01 & `p_dd_`x'' > 0 {c -(}
{txt} 14{com}.                         local b_dd_`x' `b_dd_`x''***
{txt} 15{com}.                 {c )-}
{txt} 16{com}.                 
.                 local csb_dd_`x' = string(_b[_cons],"%9.3fc")
{txt} 17{com}.                 local csse_dd_`x' =string(_se[_cons],"%9.3fc")
{txt} 18{com}.                 local p_dd_`x' = (2 * ttail(e(df_r), abs(_b[_cons]/_se[_cons])))
{txt} 19{com}.                         
.                 if `p_dd_`x'' <= 0.1 & `p_dd_`x'' > 0.05{c -(}
{txt} 20{com}.                         local csb_dd_`x' `csb_dd_`x''*
{txt} 21{com}.                 {c )-}
{txt} 22{com}.         
.                 if `p_dd_`x'' <= 0.05 & `p_dd_`x'' > 0.01{c -(}
{txt} 23{com}.                         local csb_dd_`x' `csb_dd_`x''**
{txt} 24{com}.                 {c )-}
{txt} 25{com}.                 
.                 if `p_dd_`x'' <= 0.01 & `p_dd_`x'' > 0 {c -(}
{txt} 26{com}.                         local csb_dd_`x' `csb_dd_`x''***
{txt} 27{com}.                 {c )-}
{txt} 28{com}.                 
.                 {c )-}
{txt}note: bm_ctzknow_z_d omitted because of collinearity
{res}
{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}    14,408
{txt}{col 49}F({res}  14{txt},{res}    186{txt}){col 67}= {res}     31.87
{txt}{col 49}Prob > F{col 67}= {res}    0.0000
{txt}{col 49}R-squared{col 67}= {res}    0.0474
{txt}{col 49}Adj R-squared{col 67}= {res}    0.0455
{txt}{col 49}Root MSE{col 67}= {res}    0.7538

{txt}{ralign 78:(Std. Err. adjusted for {res:187} clusters in hc_id)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}   ctzknow_z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 8}t_15 {c |}{col 14}{res}{space 2}-.0045605{col 26}{space 2} .0376141{col 37}{space 1}   -0.12{col 46}{space 3}0.904{col 54}{space 4}-.0787657{col 67}{space 3} .0696446
{txt}{space 9}y15 {c |}{col 14}{res}{space 2} .0011215{col 26}{space 2} .0376654{col 37}{space 1}    0.03{col 46}{space 3}0.976{col 54}{space 4}-.0731848{col 67}{space 3} .0754277
{txt}bm_ctzknow~d {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 1}c_tfull_hc2 {c |}{col 14}{res}{space 2}-.0854782{col 26}{space 2} .0300221{col 37}{space 1}   -2.85{col 46}{space 3}0.005{col 54}{space 4}-.1447059{col 67}{space 3}-.0262505
{txt}c_tfull_b_~l {c |}{col 14}{res}{space 2} .0565089{col 26}{space 2} .0400526{col 37}{space 1}    1.41{col 46}{space 3}0.160{col 54}{space 4}-.0225069{col 67}{space 3} .1355248
{txt}c_tfull_b_~s {c |}{col 14}{res}{space 2}-.0459709{col 26}{space 2} .0432336{col 37}{space 1}   -1.06{col 46}{space 3}0.289{col 54}{space 4}-.1312622{col 67}{space 3} .0393203
{txt}c_tfull_bm~d {c |}{col 14}{res}{space 2} .1369546{col 26}{space 2} .0526919{col 37}{space 1}    2.60{col 46}{space 3}0.010{col 54}{space 4} .0330041{col 67}{space 3} .2409051
{txt}c_tfull_bm~r {c |}{col 14}{res}{space 2} .0206782{col 26}{space 2} .0022972{col 37}{space 1}    9.00{col 46}{space 3}0.000{col 54}{space 4} .0161462{col 67}{space 3} .0252101
{txt}c_tfull_bm~x {c |}{col 14}{res}{space 2} .0677211{col 26}{space 2} .0095428{col 37}{space 1}    7.10{col 46}{space 3}0.000{col 54}{space 4}  .048895{col 67}{space 3} .0865472
{txt}c_trea~l_hc2 {c |}{col 14}{res}{space 2}-.0081811{col 26}{space 2} .0424614{col 37}{space 1}   -0.19{col 46}{space 3}0.847{col 54}{space 4} -.091949{col 67}{space 3} .0755869
{txt}c_treatful.. {c |}{col 14}{res}{space 2} .0411169{col 26}{space 2} .0503327{col 37}{space 1}    0.82{col 46}{space 3}0.415{col 54}{space 4}-.0581794{col 67}{space 3} .1404133
{txt}c_treatful.. {c |}{col 14}{res}{space 2} .0292989{col 26}{space 2} .0592379{col 37}{space 1}    0.49{col 46}{space 3}0.621{col 54}{space 4}-.0875657{col 67}{space 3} .1461635
{txt}c_treatful.. {c |}{col 14}{res}{space 2}-.1259626{col 26}{space 2} .0621304{col 37}{space 1}   -2.03{col 46}{space 3}0.044{col 54}{space 4}-.2485334{col 67}{space 3}-.0033919
{txt}c_treatful.. {c |}{col 14}{res}{space 2} .0011931{col 26}{space 2} .0033793{col 37}{space 1}    0.35{col 46}{space 3}0.724{col 54}{space 4}-.0054735{col 67}{space 3} .0078597
{txt}c_treatful.. {c |}{col 14}{res}{space 2} .0004699{col 26}{space 2} .0135157{col 37}{space 1}    0.03{col 46}{space 3}0.972{col 54}{space 4}-.0261938{col 67}{space 3} .0271336
{txt}{space 7}_cons {c |}{col 14}{res}{space 2}-.0032078{col 26}{space 2} .0189856{col 37}{space 1}   -0.17{col 46}{space 3}0.866{col 54}{space 4}-.0406626{col 67}{space 3} .0342471
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)
note: bm_eff_z_d omitted because of collinearity
{res}
{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}    14,408
{txt}{col 49}F({res}  14{txt},{res}    186{txt}){col 67}= {res}     15.88
{txt}{col 49}Prob > F{col 67}= {res}    0.0000
{txt}{col 49}R-squared{col 67}= {res}    0.0313
{txt}{col 49}Adj R-squared{col 67}= {res}    0.0294
{txt}{col 49}Root MSE{col 67}= {res}    0.6455

{txt}{ralign 78:(Std. Err. adjusted for {res:187} clusters in hc_id)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}       eff_z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 8}t_15 {c |}{col 14}{res}{space 2} .0346475{col 26}{space 2} .0208491{col 37}{space 1}    1.66{col 46}{space 3}0.098{col 54}{space 4}-.0064837{col 67}{space 3} .0757787
{txt}{space 9}y15 {c |}{col 14}{res}{space 2} .0162857{col 26}{space 2} .0183992{col 37}{space 1}    0.89{col 46}{space 3}0.377{col 54}{space 4}-.0200122{col 67}{space 3} .0525837
{txt}{space 2}bm_eff_z_d {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 1}c_tfull_hc2 {c |}{col 14}{res}{space 2} .0712758{col 26}{space 2} .0282087{col 37}{space 1}    2.53{col 46}{space 3}0.012{col 54}{space 4} .0156256{col 67}{space 3} .1269259
{txt}c_tfull_b_~l {c |}{col 14}{res}{space 2} .0466781{col 26}{space 2}  .034983{col 37}{space 1}    1.33{col 46}{space 3}0.184{col 54}{space 4}-.0223364{col 67}{space 3} .1156925
{txt}c_tfull_b_~s {c |}{col 14}{res}{space 2}  .037219{col 26}{space 2} .0389393{col 37}{space 1}    0.96{col 46}{space 3}0.340{col 54}{space 4}-.0396005{col 67}{space 3} .1140385
{txt}c_tfull_bm~d {c |}{col 14}{res}{space 2} .0134411{col 26}{space 2} .0305159{col 37}{space 1}    0.44{col 46}{space 3}0.660{col 54}{space 4}-.0467606{col 67}{space 3} .0736429
{txt}c_tfull_bm~r {c |}{col 14}{res}{space 2} .0117323{col 26}{space 2} .0022509{col 37}{space 1}    5.21{col 46}{space 3}0.000{col 54}{space 4} .0072916{col 67}{space 3} .0161729
{txt}c_tfull_bm~x {c |}{col 14}{res}{space 2} .0526881{col 26}{space 2} .0098914{col 37}{space 1}    5.33{col 46}{space 3}0.000{col 54}{space 4} .0331744{col 67}{space 3} .0722017
{txt}c_trea~l_hc2 {c |}{col 14}{res}{space 2}-.0367683{col 26}{space 2} .0356665{col 37}{space 1}   -1.03{col 46}{space 3}0.304{col 54}{space 4}-.1071311{col 67}{space 3} .0335945
{txt}c_treatful.. {c |}{col 14}{res}{space 2}-.0341178{col 26}{space 2} .0387597{col 37}{space 1}   -0.88{col 46}{space 3}0.380{col 54}{space 4}-.1105831{col 67}{space 3} .0423474
{txt}c_treatful.. {c |}{col 14}{res}{space 2}-.0061239{col 26}{space 2}  .045593{col 37}{space 1}   -0.13{col 46}{space 3}0.893{col 54}{space 4}-.0960698{col 67}{space 3}  .083822
{txt}c_treatful.. {c |}{col 14}{res}{space 2} .0209566{col 26}{space 2} .0409391{col 37}{space 1}    0.51{col 46}{space 3}0.609{col 54}{space 4}-.0598081{col 67}{space 3} .1017213
{txt}c_treatful.. {c |}{col 14}{res}{space 2} .0037357{col 26}{space 2} .0031145{col 37}{space 1}    1.20{col 46}{space 3}0.232{col 54}{space 4}-.0024086{col 67}{space 3} .0098799
{txt}c_treatful.. {c |}{col 14}{res}{space 2} .0038445{col 26}{space 2} .0130938{col 37}{space 1}    0.29{col 46}{space 3}0.769{col 54}{space 4}-.0219869{col 67}{space 3} .0296759
{txt}{space 7}_cons {c |}{col 14}{res}{space 2}-.0160717{col 26}{space 2} .0109217{col 37}{space 1}   -1.47{col 46}{space 3}0.143{col 54}{space 4}-.0376179{col 67}{space 3} .0054746
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)
note: bm_commresp_z_d omitted because of collinearity
{res}
{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}    14,408
{txt}{col 49}F({res}  14{txt},{res}    186{txt}){col 67}= {res}      6.92
{txt}{col 49}Prob > F{col 67}= {res}    0.0000
{txt}{col 49}R-squared{col 67}= {res}    0.0234
{txt}{col 49}Adj R-squared{col 67}= {res}    0.0214
{txt}{col 49}Root MSE{col 67}= {res}    0.7333

{txt}{ralign 78:(Std. Err. adjusted for {res:187} clusters in hc_id)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}  commresp_z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 8}t_15 {c |}{col 14}{res}{space 2} .0020718{col 26}{space 2} .0223869{col 37}{space 1}    0.09{col 46}{space 3}0.926{col 54}{space 4} -.042093{col 67}{space 3} .0462366
{txt}{space 9}y15 {c |}{col 14}{res}{space 2} .0104455{col 26}{space 2} .0183146{col 37}{space 1}    0.57{col 46}{space 3}0.569{col 54}{space 4}-.0256855{col 67}{space 3} .0465766
{txt}bm_commres~d {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 1}c_tfull_hc2 {c |}{col 14}{res}{space 2} .0645712{col 26}{space 2} .0293517{col 37}{space 1}    2.20{col 46}{space 3}0.029{col 54}{space 4} .0066663{col 67}{space 3} .1224762
{txt}c_tfull_b_~l {c |}{col 14}{res}{space 2} .0209838{col 26}{space 2} .0321649{col 37}{space 1}    0.65{col 46}{space 3}0.515{col 54}{space 4}-.0424711{col 67}{space 3} .0844387
{txt}c_tfull_b_~s {c |}{col 14}{res}{space 2}-.0297146{col 26}{space 2} .0346769{col 37}{space 1}   -0.86{col 46}{space 3}0.393{col 54}{space 4}-.0981252{col 67}{space 3} .0386961
{txt}c_tfull_bm~d {c |}{col 14}{res}{space 2} .0099938{col 26}{space 2} .0224738{col 37}{space 1}    0.44{col 46}{space 3}0.657{col 54}{space 4}-.0343426{col 67}{space 3} .0543302
{txt}c_tfull_bm~r {c |}{col 14}{res}{space 2} .0056305{col 26}{space 2} .0025423{col 37}{space 1}    2.21{col 46}{space 3}0.028{col 54}{space 4} .0006151{col 67}{space 3}  .010646
{txt}c_tfull_bm~x {c |}{col 14}{res}{space 2} .0417003{col 26}{space 2} .0112958{col 37}{space 1}    3.69{col 46}{space 3}0.000{col 54}{space 4}  .019416{col 67}{space 3} .0639847
{txt}c_trea~l_hc2 {c |}{col 14}{res}{space 2}-.0317192{col 26}{space 2} .0374616{col 37}{space 1}   -0.85{col 46}{space 3}0.398{col 54}{space 4}-.1056235{col 67}{space 3} .0421852
{txt}c_treatful.. {c |}{col 14}{res}{space 2}-.0115915{col 26}{space 2} .0384257{col 37}{space 1}   -0.30{col 46}{space 3}0.763{col 54}{space 4}-.0873977{col 67}{space 3} .0642147
{txt}c_treatful.. {c |}{col 14}{res}{space 2} .0573667{col 26}{space 2}  .039942{col 37}{space 1}    1.44{col 46}{space 3}0.153{col 54}{space 4}-.0214308{col 67}{space 3} .1361642
{txt}c_treatful.. {c |}{col 14}{res}{space 2} .0606941{col 26}{space 2} .0375655{col 37}{space 1}    1.62{col 46}{space 3}0.108{col 54}{space 4}-.0134151{col 67}{space 3} .1348034
{txt}c_treatful.. {c |}{col 14}{res}{space 2} .0042677{col 26}{space 2} .0035445{col 37}{space 1}    1.20{col 46}{space 3}0.230{col 54}{space 4}-.0027249{col 67}{space 3} .0112602
{txt}c_treatful.. {c |}{col 14}{res}{space 2} .0067445{col 26}{space 2}  .014675{col 37}{space 1}    0.46{col 46}{space 3}0.646{col 54}{space 4}-.0222062{col 67}{space 3} .0356953
{txt}{space 7}_cons {c |}{col 14}{res}{space 2}-.0132838{col 26}{space 2} .0096252{col 37}{space 1}   -1.38{col 46}{space 3}0.169{col 54}{space 4}-.0322723{col 67}{space 3} .0057048
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)
note: bm_relhhhc_z_d omitted because of collinearity
{res}
{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}    14,408
{txt}{col 49}F({res}  14{txt},{res}    186{txt}){col 67}= {res}      2.97
{txt}{col 49}Prob > F{col 67}= {res}    0.0004
{txt}{col 49}R-squared{col 67}= {res}    0.0349
{txt}{col 49}Adj R-squared{col 67}= {res}    0.0329
{txt}{col 49}Root MSE{col 67}= {res}    0.5803

{txt}{ralign 78:(Std. Err. adjusted for {res:187} clusters in hc_id)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}   relhhhc_z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 8}t_15 {c |}{col 14}{res}{space 2}-.0596823{col 26}{space 2} .0461259{col 37}{space 1}   -1.29{col 46}{space 3}0.197{col 54}{space 4}-.1506795{col 67}{space 3} .0313148
{txt}{space 9}y15 {c |}{col 14}{res}{space 2} .0449625{col 26}{space 2} .0375691{col 37}{space 1}    1.20{col 46}{space 3}0.233{col 54}{space 4}-.0291539{col 67}{space 3} .1190789
{txt}bm_relhhhc~d {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 1}c_tfull_hc2 {c |}{col 14}{res}{space 2} .1009529{col 26}{space 2} .0536033{col 37}{space 1}    1.88{col 46}{space 3}0.061{col 54}{space 4}-.0047957{col 67}{space 3} .2067014
{txt}c_tfull_b_~l {c |}{col 14}{res}{space 2}-.0347681{col 26}{space 2} .0655012{col 37}{space 1}   -0.53{col 46}{space 3}0.596{col 54}{space 4}-.1639889{col 67}{space 3} .0944527
{txt}c_tfull_b_~s {c |}{col 14}{res}{space 2} .0463415{col 26}{space 2}   .07341{col 37}{space 1}    0.63{col 46}{space 3}0.529{col 54}{space 4}-.0984818{col 67}{space 3} .1911649
{txt}c_tfull_bm~d {c |}{col 14}{res}{space 2} .0186699{col 26}{space 2} .0233375{col 37}{space 1}    0.80{col 46}{space 3}0.425{col 54}{space 4}-.0273703{col 67}{space 3} .0647101
{txt}c_tfull_bm~r {c |}{col 14}{res}{space 2}-.0014537{col 26}{space 2} .0020931{col 37}{space 1}   -0.69{col 46}{space 3}0.488{col 54}{space 4} -.005583{col 67}{space 3} .0026756
{txt}c_tfull_bm~x {c |}{col 14}{res}{space 2} .0125339{col 26}{space 2} .0096405{col 37}{space 1}    1.30{col 46}{space 3}0.195{col 54}{space 4}-.0064848{col 67}{space 3} .0315526
{txt}c_trea~l_hc2 {c |}{col 14}{res}{space 2} .0650596{col 26}{space 2} .0851687{col 37}{space 1}    0.76{col 46}{space 3}0.446{col 54}{space 4}-.1029611{col 67}{space 3} .2330804
{txt}c_treatful.. {c |}{col 14}{res}{space 2} .1578518{col 26}{space 2} .1011625{col 37}{space 1}    1.56{col 46}{space 3}0.120{col 54}{space 4}-.0417216{col 67}{space 3} .3574252
{txt}c_treatful.. {c |}{col 14}{res}{space 2}-.0705195{col 26}{space 2} .1218825{col 37}{space 1}   -0.58{col 46}{space 3}0.564{col 54}{space 4}-.3109692{col 67}{space 3} .1699303
{txt}c_treatful.. {c |}{col 14}{res}{space 2} .0461389{col 26}{space 2} .0484243{col 37}{space 1}    0.95{col 46}{space 3}0.342{col 54}{space 4}-.0493926{col 67}{space 3} .1416704
{txt}c_treatful.. {c |}{col 14}{res}{space 2} .0034218{col 26}{space 2} .0034455{col 37}{space 1}    0.99{col 46}{space 3}0.322{col 54}{space 4}-.0033754{col 67}{space 3} .0102191
{txt}c_treatful.. {c |}{col 14}{res}{space 2} .0385161{col 26}{space 2} .0161166{col 37}{space 1}    2.39{col 46}{space 3}0.018{col 54}{space 4} .0067212{col 67}{space 3}  .070311
{txt}{space 7}_cons {c |}{col 14}{res}{space 2}  -.04188{col 26}{space 2} .0259075{col 37}{space 1}   -1.62{col 46}{space 3}0.108{col 54}{space 4}-.0929903{col 67}{space 3} .0092303
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{com}.                 
.         eststo clear
{txt}
{com}.                         
.         foreach x in `intermediate_hclevel' {c -(}
{txt}  2{com}.                 areg `x' t_15 y15 bm_`x'_d `m_controls_tfull_hc' ``var'_hc_int_m_controls' if uniquehc == 1, robust a(district)
{txt}  3{com}.                 local n_dd_`x' = `e(N)'
{txt}  4{com}.                 local b_dd_`x' = string(_b[t_15],"%9.3fc")
{txt}  5{com}.                 local se_dd_`x' =string(_se[t_15],"%9.3fc")
{txt}  6{com}.                 local p_dd_`x' = (2 * ttail(e(df_r), abs(_b[t_15]/_se[t_15])))
{txt}  7{com}.                         
.                 if `p_dd_`x'' <= 0.1 & `p_dd_`x'' > 0.05{c -(}
{txt}  8{com}.                         local b_dd_`x' `b_dd_`x''*
{txt}  9{com}.                 {c )-}
{txt} 10{com}.         
.                 if `p_dd_`x'' <= 0.05 & `p_dd_`x'' > 0.01{c -(}
{txt} 11{com}.                         local b_dd_`x' `b_dd_`x''**
{txt} 12{com}.                 {c )-}
{txt} 13{com}.                 
.                 if `p_dd_`x'' <= 0.01 & `p_dd_`x'' > 0 {c -(}
{txt} 14{com}.                         local b_dd_`x' `b_dd_`x''***
{txt} 15{com}.                 {c )-}
{txt} 16{com}.                 
.                 local csb_dd_`x' = string(_b[_cons],"%9.3fc")
{txt} 17{com}.                 local csse_dd_`x' =string(_se[_cons],"%9.3fc")
{txt} 18{com}.                 local p_dd_`x' = (2 * ttail(e(df_r), abs(_b[_cons]/_se[_cons])))
{txt} 19{com}.                         
.                 if `p_dd_`x'' <= 0.1 & `p_dd_`x'' > 0.05{c -(}
{txt} 20{com}.                         local csb_dd_`x' `csb_dd_`x''*
{txt} 21{com}.                 {c )-}
{txt} 22{com}.         
.                 if `p_dd_`x'' <= 0.05 & `p_dd_`x'' > 0.01{c -(}
{txt} 23{com}.                         local csb_dd_`x' `csb_dd_`x''**
{txt} 24{com}.                 {c )-}
{txt} 25{com}.                 
.                 if `p_dd_`x'' <= 0.01 & `p_dd_`x'' > 0 {c -(}
{txt} 26{com}.                         local csb_dd_`x' `csb_dd_`x''***
{txt} 27{com}.                 {c )-}
{txt} 28{com}.                 
.                 {c )-}
{p 0 6 2}{txt}note: bm_h_hcpknow_z_d omitted because of collinearity{p_end}
{res}
{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}       374
{txt}{col 49}F({res}  14{txt},{res}    344{txt}){col 67}= {res}      3.05
{txt}{col 49}Prob > F{col 67}= {res}    0.0002
{txt}{col 49}R-squared{col 67}= {res}    0.2033
{txt}{col 49}Adj R-squared{col 67}= {res}    0.1361
{txt}{col 49}Root MSE{col 67}= {res}    0.7444

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1} h_hcpknow_z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 8}t_15 {c |}{col 14}{res}{space 2} .1166844{col 26}{space 2} .1038196{col 37}{space 1}    1.12{col 46}{space 3}0.262{col 54}{space 4}-.0875168{col 67}{space 3} .3208855
{txt}{space 9}y15 {c |}{col 14}{res}{space 2}-.0633676{col 26}{space 2} .0953652{col 37}{space 1}   -0.66{col 46}{space 3}0.507{col 54}{space 4}-.2509399{col 67}{space 3} .1242048
{txt}bm_h_hcpkn~d {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
c_tful~c_hc2 {c |}{col 14}{res}{space 2}-.3960674{col 26}{space 2} .1621872{col 37}{space 1}   -2.44{col 46}{space 3}0.015{col 54}{space 4}-.7150708{col 67}{space 3}-.0770641
{txt}c_tfull_hc~l {c |}{col 14}{res}{space 2} .1233542{col 26}{space 2} .1912257{col 37}{space 1}    0.65{col 46}{space 3}0.519{col 54}{space 4}-.2527647{col 67}{space 3}  .499473
{txt}c_tfull_hc~s {c |}{col 14}{res}{space 2} .1505335{col 26}{space 2} .2046192{col 37}{space 1}    0.74{col 46}{space 3}0.462{col 54}{space 4}-.2519288{col 67}{space 3} .5529958
{txt}c_tfull_hc~d {c |}{col 14}{res}{space 2}-.3354121{col 26}{space 2} .4525614{col 37}{space 1}   -0.74{col 46}{space 3}0.459{col 54}{space 4}-1.225548{col 67}{space 3} .5547237
{txt}c_tfull_hc~r {c |}{col 14}{res}{space 2}-.0697564{col 26}{space 2} .0630461{col 37}{space 1}   -1.11{col 46}{space 3}0.269{col 54}{space 4}-.1937607{col 67}{space 3}  .054248
{txt}c_tfull_hc~x {c |}{col 14}{res}{space 2} .3290242{col 26}{space 2} .1864433{col 37}{space 1}    1.76{col 46}{space 3}0.078{col 54}{space 4}-.0376882{col 67}{space 3} .6957366
{txt}c_trea~c_hc2 {c |}{col 14}{res}{space 2} .3901504{col 26}{space 2} .2029632{col 37}{space 1}    1.92{col 46}{space 3}0.055{col 54}{space 4}-.0090546{col 67}{space 3} .7893555
{txt}c_treatful.. {c |}{col 14}{res}{space 2} .0769542{col 26}{space 2} .2232636{col 37}{space 1}    0.34{col 46}{space 3}0.731{col 54}{space 4}-.3621795{col 67}{space 3} .5160879
{txt}c_treatful.. {c |}{col 14}{res}{space 2} .0214958{col 26}{space 2} .2671962{col 37}{space 1}    0.08{col 46}{space 3}0.936{col 54}{space 4}-.5040482{col 67}{space 3} .5470398
{txt}c_treatful.. {c |}{col 14}{res}{space 2}-.1662881{col 26}{space 2} .7921051{col 37}{space 1}   -0.21{col 46}{space 3}0.834{col 54}{space 4}-1.724267{col 67}{space 3} 1.391691
{txt}c_treatful.. {c |}{col 14}{res}{space 2} .0216137{col 26}{space 2} .0875745{col 37}{space 1}    0.25{col 46}{space 3}0.805{col 54}{space 4}-.1506353{col 67}{space 3} .1938626
{txt}c_treatful.. {c |}{col 14}{res}{space 2} .2402501{col 26}{space 2} .2481142{col 37}{space 1}    0.97{col 46}{space 3}0.334{col 54}{space 4}-.2477617{col 67}{space 3}  .728262
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} .0444329{col 26}{space 2} .0570588{col 37}{space 1}    0.78{col 46}{space 3}0.437{col 54}{space 4}-.0677951{col 67}{space 3} .1566608
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)
{p 0 6 2}note: bm_h_hctrans_z_d omitted because of collinearity{p_end}
{res}
{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}       374
{txt}{col 49}F({res}  14{txt},{res}    344{txt}){col 67}= {res}      3.71
{txt}{col 49}Prob > F{col 67}= {res}    0.0000
{txt}{col 49}R-squared{col 67}= {res}    0.1963
{txt}{col 49}Adj R-squared{col 67}= {res}    0.1286
{txt}{col 49}Root MSE{col 67}= {res}    0.5082

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1} h_hctrans_z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 8}t_15 {c |}{col 14}{res}{space 2}-.1088436{col 26}{space 2} .0653995{col 37}{space 1}   -1.66{col 46}{space 3}0.097{col 54}{space 4} -.237477{col 67}{space 3} .0197897
{txt}{space 9}y15 {c |}{col 14}{res}{space 2} -.007819{col 26}{space 2} .0659365{col 37}{space 1}   -0.12{col 46}{space 3}0.906{col 54}{space 4}-.1375085{col 67}{space 3} .1218705
{txt}bm_h_hctra~d {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
c_tful~c_hc2 {c |}{col 14}{res}{space 2}-.3888467{col 26}{space 2} .1078317{col 37}{space 1}   -3.61{col 46}{space 3}0.000{col 54}{space 4}-.6009391{col 67}{space 3}-.1767543
{txt}c_tfull_hc~l {c |}{col 14}{res}{space 2} .1568096{col 26}{space 2} .0936566{col 37}{space 1}    1.67{col 46}{space 3}0.095{col 54}{space 4}-.0274021{col 67}{space 3} .3410213
{txt}c_tfull_hc~s {c |}{col 14}{res}{space 2}-.0274839{col 26}{space 2} .1187797{col 37}{space 1}   -0.23{col 46}{space 3}0.817{col 54}{space 4}-.2611097{col 67}{space 3} .2061419
{txt}c_tfull_hc~d {c |}{col 14}{res}{space 2} .2696966{col 26}{space 2} .2039104{col 37}{space 1}    1.32{col 46}{space 3}0.187{col 54}{space 4}-.1313715{col 67}{space 3} .6707647
{txt}c_tfull_hc~r {c |}{col 14}{res}{space 2}-.0008722{col 26}{space 2} .0408923{col 37}{space 1}   -0.02{col 46}{space 3}0.983{col 54}{space 4}-.0813027{col 67}{space 3} .0795583
{txt}c_tfull_hc~x {c |}{col 14}{res}{space 2} .1001167{col 26}{space 2}  .109627{col 37}{space 1}    0.91{col 46}{space 3}0.362{col 54}{space 4}-.1155069{col 67}{space 3} .3157403
{txt}c_trea~c_hc2 {c |}{col 14}{res}{space 2} .2586408{col 26}{space 2} .1364692{col 37}{space 1}    1.90{col 46}{space 3}0.059{col 54}{space 4}-.0097782{col 67}{space 3} .5270598
{txt}c_treatful.. {c |}{col 14}{res}{space 2}-.1454257{col 26}{space 2} .1205641{col 37}{space 1}   -1.21{col 46}{space 3}0.229{col 54}{space 4}-.3825614{col 67}{space 3}   .09171
{txt}c_treatful.. {c |}{col 14}{res}{space 2} .1213358{col 26}{space 2} .1781887{col 37}{space 1}    0.68{col 46}{space 3}0.496{col 54}{space 4}-.2291406{col 67}{space 3} .4718122
{txt}c_treatful.. {c |}{col 14}{res}{space 2}-.5553958{col 26}{space 2} .5432625{col 37}{space 1}   -1.02{col 46}{space 3}0.307{col 54}{space 4} -1.62393{col 67}{space 3} .5131385
{txt}c_treatful.. {c |}{col 14}{res}{space 2} .0345974{col 26}{space 2} .0604961{col 37}{space 1}    0.57{col 46}{space 3}0.568{col 54}{space 4}-.0843915{col 67}{space 3} .1535863
{txt}c_treatful.. {c |}{col 14}{res}{space 2} .0050036{col 26}{space 2} .1924668{col 37}{space 1}    0.03{col 46}{space 3}0.979{col 54}{space 4}-.3735564{col 67}{space 3} .3835635
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} .0010612{col 26}{space 2} .0406797{col 37}{space 1}    0.03{col 46}{space 3}0.979{col 54}{space 4} -.078951{col 67}{space 3} .0810734
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{com}.         
.         texdoc init "${c -(}tables{c )-}/TableI53.tex", replace force
{res}{txt}(texdoc output file is /Users/fredericcochinard/Dropbox/ACT_Health_JOP_replication_file/3.Tables and Figures/Tables/TableI53.tex)
{res}{txt}
{com}.         tex \begin{c -(}table{c )-}[htbp]\centering
{res}{txt}
{com}.         tex \footnotesize
{res}{txt}
{com}.         tex \def\sym#1{c -(}\ifmmode^{c -(}#1{c )-}\else\(^{c -(}#1{c )-}\)\fi{c )-}
{res}{txt}
{com}.         tex \caption{c -(}Robustness checks -- Intermediate outcomes (midline){c )-}
{res}{txt}
{com}.         tex \begin{c -(}tabular{c )-}{c -(}lggggggg{c )-}
{res}{txt}
{com}.         tex \toprule
{res}{txt}
{com}.         tex                                                                               & (1)                       & (2)                                                          & (3)                                                             & (4)                                                        & (5)                       & (6)                                          \\
{res}{txt}
{com}.     tex                                & \textbf{c -(}\begin{c -(}tabular{c )-}[c]{c -(}@{c -(}{c )-}c@{c -(}{c )-}{c )-}Citizen \\ knowledge\end{c -(}tabular{c )-}{c )-}      & \textbf{c -(}\begin{c -(}tabular{c )-}[c]{c -(}@{c -(}{c )-}c@{c -(}{c )-}{c )-}HC staff \\ knowledge\end{c -(}tabular{c )-}{c )-} & \textbf{c -(}Efficacy{c )-} & \textbf{c -(}\begin{c -(}tabular{c )-}[c]{c -(}@{c -(}{c )-}c@{c -(}{c )-}{c )-}Community \\ responsibility\end{c -(}tabular{c )-}{c )-}  & \textbf{c -(}Relationship{c )-} & \textbf{c -(}\begin{c -(}tabular{c )-}[c]{c -(}@{c -(}{c )-}c@{c -(}{c )-}{c )-}HC \\ transparency\end{c -(}tabular{c )-}{c )-}     \\
{res}{txt}
{com}.         tex \midrule
{res}{txt}
{com}.         tex \textit{c -(}A: Without control variables{c )-} \\
{res}{txt}
{com}.         tex \multirow{c -(}2{c )-}{c -(}*{c )-}{c -(}Program impact{c )-}   &`b_nocon_ctzknow_z'           & `b_nocon_h_hcpknow_z'                                                            & `b_nocon_eff_z'                                                               & `b_nocon_commresp_z'                                                           & `b_nocon_relhhhc_z' & `b_nocon_h_hctrans_z'         \\
{res}{txt}
{com}.         tex  & (`se_nocon_ctzknow_z')           & (`se_nocon_h_hcpknow_z')                                                            & (`se_nocon_eff_z')                                                               & (`se_nocon_commresp_z')                                                          & (`se_nocon_relhhhc_z') & (`se_nocon_h_hctrans_z')        \\
{res}{txt}
{com}.         tex \multirow{c -(}2{c )-}{c -(}*{c )-}{c -(}Constant{c )-}   &`csb_nocon_ctzknow_z'           & `csb_nocon_h_hcpknow_z'                                                            & `csb_nocon_eff_z'                                                               & `csb_nocon_commresp_z'                                                           & `csb_nocon_relhhhc_z' & `csb_nocon_h_hctrans_z'         \\
{res}{txt}
{com}.         tex  & (`csse_nocon_ctzknow_z')           & (`csse_nocon_h_hcpknow_z')                                                            & (`csse_nocon_eff_z')                                                               & (`csse_nocon_commresp_z')                                                           & (`csse_nocon_relhhhc_z') & (`csse_nocon_h_hctrans_z')        \\
{res}{txt}
{com}.         tex \\
{res}{txt}
{com}.         tex \textit{c -(}B: Without district fixed effects{c )-} \\
{res}{txt}
{com}.         tex \multirow{c -(}2{c )-}{c -(}*{c )-}{c -(}Program impact{c )-}   &`b_nofe_ctzknow_z'           & `b_nofe_h_hcpknow_z'                                                            & `b_nofe_eff_z'                                                               & `b_nofe_commresp_z'                                                          & `b_nofe_relhhhc_z' & `b_nofe_h_hctrans_z'        \\
{res}{txt}
{com}.         tex  & (`se_nofe_ctzknow_z')           & (`se_nofe_h_hcpknow_z')                                                            & (`se_nofe_eff_z')                                                               & (`se_nofe_commresp_z')                                                         & (`se_nofe_relhhhc_z') & (`se_nofe_h_hctrans_z')        \\
{res}{txt}
{com}.         tex \multirow{c -(}2{c )-}{c -(}*{c )-}{c -(}Constant{c )-}   &`csb_nofe_ctzknow_z'           & `csb_nofe_h_hcpknow_z'                                                            & `csb_nofe_eff_z'                                                               & `csb_nofe_commresp_z'                                                          & `csb_nofe_relhhhc_z' & `csb_nofe_h_hctrans_z'      \\
{res}{txt}
{com}.         tex  & (`csse_nofe_ctzknow_z')           & (`csse_nofe_h_hcpknow_z')                                                            & (`csse_nofe_eff_z')                                                               & (`csse_nofe_commresp_z')                                                            & (`csse_nofe_relhhhc_z') & (`csse_nofe_h_hctrans_z')      \\
{res}{txt}
{com}.         tex \\ 
{res}{txt}
{com}.         tex \textit{c -(}C: Without ouctome measures aggregated at HC level{c )-} \\
{res}{txt}
{com}.         tex \multirow{c -(}2{c )-}{c -(}*{c )-}{c -(}Program impact{c )-}   &`b_mean_ctzknow_z'           & `b_mean_h_hcpknow_z'                                                            & `b_mean_eff_z'                                                               & `b_mean_commresp_z'                                                          & `b_mean_relhhhc_z' & `b_mean_h_hctrans_z'        \\
{res}{txt}
{com}.         tex  & (`se_mean_ctzknow_z')           & (`se_mean_h_hcpknow_z')                                                            & (`se_mean_eff_z')                                                               & (`se_mean_commresp_z')                                                            & (`se_mean_relhhhc_z') & (`se_mean_h_hctrans_z')        \\
{res}{txt}
{com}.         tex \multirow{c -(}2{c )-}{c -(}*{c )-}{c -(}Constant{c )-}   &`csb_mean_ctzknow_z'           & `csb_mean_h_hcpknow_z'                                                            & `csb_mean_eff_z'                                                               & `csb_mean_commresp_z'                                                            & `csb_mean_relhhhc_z' & `csb_mean_h_hctrans_z'       \\
{res}{txt}
{com}.         tex  & (`csse_mean_ctzknow_z')           & (`csse_mean_h_hcpknow_z')                                                            & (`csse_mean_eff_z')                                                               & (`csse_mean_commresp_z')                                                            & (`csse_mean_relhhhc_z') & (`csse_mean_h_hctrans_z')       \\
{res}{txt}
{com}.         tex \\ 
{res}{txt}
{com}.         tex \textit{c -(}D: Difference between post and pre-treatment values{c )-} \\
{res}{txt}
{com}.         tex \multirow{c -(}2{c )-}{c -(}*{c )-}{c -(}Program impact{c )-}   &`b_dd_ctzknow_z'           & `b_dd_h_hcpknow_z'                                                            & `b_dd_eff_z'                                                               & `b_dd_commresp_z'                                                          & `b_dd_relhhhc_z' & `b_dd_h_hctrans_z'         \\
{res}{txt}
{com}.         tex  & (`se_dd_ctzknow_z')           & (`se_dd_h_hcpknow_z')                                                            & (`se_dd_eff_z')                                                               & (`se_dd_commresp_z')                                                          & (`se_dd_relhhhc_z') & (`se_dd_h_hctrans_z')          \\
{res}{txt}
{com}.         tex \multirow{c -(}2{c )-}{c -(}*{c )-}{c -(}Constant{c )-}   &`csb_dd_ctzknow_z'           & `csb_dd_h_hcpknow_z'                                                            & `csb_dd_eff_z'                                                               & `csb_dd_commresp_z'                                                          & `csb_dd_relhhhc_z' & `csb_dd_h_hctrans_z'         \\
{res}{txt}
{com}.         tex  & (`csse_dd_ctzknow_z')           & (`csse_dd_h_hcpknow_z')                                                            & (`csse_dd_eff_z')                                                               & (`csse_dd_commresp_z')                                                           & (`csse_dd_relhhhc_z') & (`csse_dd_h_hctrans_z')         \\
{res}{txt}
{com}.         tex \midrule
{res}{txt}
{com}.         tex Observations (A \& B)  &`n_nocon_ctzknow_z'           & `n_nocon_h_hcpknow_z'                                                            & `n_nocon_eff_z'                                                               & `n_nocon_commresp_z'                                                          & `n_nocon_relhhhc_z' & `n_nocon_h_hctrans_z'         \\
{res}{txt}
{com}.         tex Observations (C) & `n_mean_ctzknow_z'           & `n_mean_h_hcpknow_z'                                                            & `n_mean_eff_z'                                                               & `n_mean_commresp_z'                                                           & `n_mean_relhhhc_z' & `n_mean_h_hctrans_z'         \\
{res}{txt}
{com}.         tex Observations (D) & `n_dd_ctzknow_z'           & `n_dd_h_hcpknow_z'                                                            & `n_dd_eff_z'                                                               & `n_dd_commresp_z'                                                          & `n_dd_relhhhc_z' & `n_dd_h_hctrans_z'         \\
{res}{txt}
{com}.         tex \bottomrule
{res}{txt}
{com}.         tex \end{c -(}tabular{c )-}
{res}{txt}
{com}.         tex \end{c -(}table{c )-}
{res}{txt}
{com}.         texdoc close
{txt}(texdoc output written to {browse `"/Users/fredericcochinard/Dropbox/ACT_Health_JOP_replication_file/3.Tables and Figures/Tables/TableI53.tex"':/Users/fredericcochinard/Dropbox/ACT_Health_JOP_replication_file/3.Tables and Figures/Tables/TableI53.tex})
{res}{txt}
{com}.         
.         *******************************************************
.         * Table I54: Main outcomes (Midline) - All treatments *
.         *******************************************************
.         
.         * We load the dataset. This is the light version
.         
.         use "${c -(}usedata{c )-}/chp_el_light_dataset.dta", clear
{txt}
{com}.         
.         * At midline:
.         
.         eststo clear
{txt}
{com}.         
.         * We regress our main indices
.         
.         local y = 1
{txt}
{com}.         foreach x in `indices' {c -(}
{txt}  2{com}.                 areg  m_`x' fullomn infomn intomn bm_`x' bm_`x'_d  `fullomn_int_m_controls' `m_controls' `infomn_int_m_controls' `intomn_int_m_controls', robust cl(hc_id) a(district)
{txt}  3{com}.                 
.                 local n_1_`x' = string(`e(N)',"%9.0fc")
{txt}  4{com}.                 local r2_1_`x' = string(`e(r2)',"%9.3fc")
{txt}  5{com}.                 local est_1_`x' = string(_b[fullomn],"%9.3fc")
{txt}  6{com}.                 local se_1_`x' = string(_se[fullomn],"%9.3fc")
{txt}  7{com}.                 local p_1_`x' = (2 * ttail(e(df_r), abs(_b[fullomn]/_se[fullomn])))
{txt}  8{com}.                 
.                 gen s_1_1s_`x' = (`p_1_`x''<=0.1 & `p_1_`x''>0.05)
{txt}  9{com}.                 gen s_1_2s_`x' = (`p_1_`x''<=0.05 & `p_1_`x''>0.01)
{txt} 10{com}.                 gen s_1_3s_`x' = (`p_1_`x''<=0.01 & `p_1_`x''>=0)
{txt} 11{com}.         
.                 if s_1_1s_`x' == 1 {c -(}
{txt} 12{com}.                                 local est_1_`x' = "`est_1_`x''*"
{txt} 13{com}.                                 {c )-}
{txt} 14{com}.                                 
.                 if s_1_2s_`x' == 1 {c -(}
{txt} 15{com}.                                 local est_1_`x' = "`est_1_`x''**"
{txt} 16{com}.                                 {c )-}
{txt} 17{com}.                                 
.                 if s_1_3s_`x' == 1 {c -(}
{txt} 18{com}.                                 local est_1_`x' = "`est_1_`x''***"
{txt} 19{com}.                                 {c )-}
{txt} 20{com}.                 
.                 local est_2_`x' = string(_b[infomn],"%9.3fc")
{txt} 21{com}.                 local se_2_`x' = string(_se[infomn],"%9.3fc")
{txt} 22{com}.                 local p_2_`x' = (2 * ttail(e(df_r), abs(_b[infomn]/_se[infomn])))
{txt} 23{com}.                 
.                 gen s_2_1s_`x' = (`p_2_`x''<=0.1 & `p_2_`x''>0.05)
{txt} 24{com}.                 gen s_2_2s_`x' = (`p_2_`x''<=0.05 & `p_2_`x''>0.01)
{txt} 25{com}.                 gen s_2_3s_`x' = (`p_2_`x''<=0.01 & `p_2_`x''>=0)
{txt} 26{com}.         
.                 if s_2_1s_`x' == 1 {c -(}
{txt} 27{com}.                                 local est_2_`x' = "`est_2_`x''*"
{txt} 28{com}.                                 {c )-}
{txt} 29{com}.                                 
.                 if s_2_2s_`x' == 1 {c -(}
{txt} 30{com}.                                 local est_2_`x' = "`est_2_`x''**"
{txt} 31{com}.                                 {c )-}
{txt} 32{com}.                                 
.                 if s_2_3s_`x' == 1 {c -(}
{txt} 33{com}.                                 local est_2_`x' = "`est_2_`x''***"
{txt} 34{com}.                                 {c )-}
{txt} 35{com}.                 
.                 local e_3_`x' = string(_b[intomn],"%9.3fc")
{txt} 36{com}.                 local se_3_`x' = string(_se[intomn],"%9.3fc")
{txt} 37{com}.                 local p_3_`x' = (2 * ttail(e(df_r), abs(_b[intomn]/_se[intomn])))
{txt} 38{com}.                 
.                 gen s_3_1s_`x' = (`p_3_`x''<=0.1 & `p_3_`x''>0.05)
{txt} 39{com}.                 gen s_3_2s_`x' = (`p_3_`x''<=0.05 & `p_3_`x''>0.01)
{txt} 40{com}.                 gen s_3_3s_`x' = (`p_3_`x''<=0.01 & `p_3_`x''>=0)
{txt} 41{com}.         
.                 if s_3_1s_`x' == 1 {c -(}
{txt} 42{com}.                                 local e_3_`x' = "`e_3_`x''*"
{txt} 43{com}.                                 {c )-}
{txt} 44{com}.                                 
.                 if s_3_2s_`x' == 1 {c -(}
{txt} 45{com}.                                 local e_3_`x' = "`e_3_`x''**"
{txt} 46{com}.                                 {c )-}
{txt} 47{com}.                                 
.                 if s_3_3s_`x' == 1 {c -(}
{txt} 48{com}.                                 local e_3_`x' = "`e_3_`x''***"
{txt} 49{com}.                                 {c )-}
{txt} 50{com}.                                 
.                 local est_4_`x' = string(_b[_cons],"%9.3fc")
{txt} 51{com}.                 local se_4_`x' = string(_se[_cons],"%9.3fc")
{txt} 52{com}.                 local p_4_`x' = (2 * ttail(e(df_r), abs(_b[_cons]/_se[_cons])))
{txt} 53{com}.                 
.                 gen s_4_1s_`x' = (`p_4_`x''<=0.1 & `p_4_`x''>0.05)
{txt} 54{com}.                 gen s_4_2s_`x' = (`p_4_`x''<=0.05 & `p_4_`x''>0.01)
{txt} 55{com}.                 gen s_4_3s_`x' = (`p_4_`x''<=0.01 & `p_4_`x''>=0)
{txt} 56{com}.         
.                 if s_4_1s_`x' == 1 {c -(}
{txt} 57{com}.                                 local est_4_`x' = "`est_4_`x''*"
{txt} 58{com}.                                 {c )-}
{txt} 59{com}.                                 
.                 if s_4_2s_`x' == 1 {c -(}
{txt} 60{com}.                                 local est_4_`x' = "`est_4_`x''**"
{txt} 61{com}.                                 {c )-}
{txt} 62{com}.                                 
.                 if s_4_3s_`x' == 1 {c -(}
{txt} 63{com}.                                 local est_4_`x' = "`est_4_`x''***"
{txt} 64{com}.                                 {c )-}
{txt} 65{com}.         
.                 
.                 test infomn = intomn
{txt} 66{com}.                 local f_wald_`x' = string(r(p),"%9.3fc")
{txt} 67{com}.                 
.                 test infomn = fullomn
{txt} 68{com}.                 local f_wald1_`x' = string(r(p),"%9.3fc")
{txt} 69{com}.                 
.                 test intomn = fullomn
{txt} 70{com}.                 local f_wald2_`x' = string(r(p),"%9.3fc")
{txt} 71{com}.                 
.                 test fullomn infomn intomn
{txt} 72{com}.                 local f_3_`x' = string(`r(F)',"%9.3fc")
{txt} 73{com}.                 local f_wald3_`x' = string(`r(p)',"%9.3fc")
{txt} 74{com}. 
.                 drop s_*
{txt} 75{com}.                 
.                 {c )-}
{txt}note: bm_urate_z_d omitted because of collinearity
{res}
{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}    14,459
{txt}{col 49}F({res}  28{txt},{res}    375{txt}){col 67}= {res}     79.72
{txt}{col 49}Prob > F{col 67}= {res}    0.0000
{txt}{col 49}R-squared{col 67}= {res}    0.2394
{txt}{col 49}Adj R-squared{col 67}= {res}    0.2371
{txt}{col 49}Root MSE{col 67}= {res}    0.6357

{txt}{ralign 78:(Std. Err. adjusted for {res:376} clusters in hc_id)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}   m_urate_z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 5}fullomn {c |}{col 14}{res}{space 2}-.0145165{col 26}{space 2} .0211028{col 37}{space 1}   -0.69{col 46}{space 3}0.492{col 54}{space 4}-.0560111{col 67}{space 3} .0269782
{txt}{space 6}infomn {c |}{col 14}{res}{space 2} -.031079{col 26}{space 2} .0221109{col 37}{space 1}   -1.41{col 46}{space 3}0.161{col 54}{space 4}-.0745559{col 67}{space 3}  .012398
{txt}{space 6}intomn {c |}{col 14}{res}{space 2}-.0065243{col 26}{space 2} .0227396{col 37}{space 1}   -0.29{col 46}{space 3}0.774{col 54}{space 4}-.0512375{col 67}{space 3} .0381888
{txt}{space 2}bm_urate_z {c |}{col 14}{res}{space 2} .3921488{col 26}{space 2}  .009922{col 37}{space 1}   39.52{col 46}{space 3}0.000{col 54}{space 4}  .372639{col 67}{space 3} .4116586
{txt}bm_urate_z_d {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
c_full~n_hc2 {c |}{col 14}{res}{space 2}-.0241683{col 26}{space 2} .0502632{col 37}{space 1}   -0.48{col 46}{space 3}0.631{col 54}{space 4}-.1230013{col 67}{space 3} .0746647
{txt}c_fullomn_.. {c |}{col 14}{res}{space 2} .0577461{col 26}{space 2} .0597306{col 37}{space 1}    0.97{col 46}{space 3}0.334{col 54}{space 4}-.0597028{col 67}{space 3}  .175195
{txt}c_fullomn_.. {c |}{col 14}{res}{space 2}-.0791813{col 26}{space 2} .0707929{col 37}{space 1}   -1.12{col 46}{space 3}0.264{col 54}{space 4}-.2183821{col 67}{space 3} .0600195
{txt}c_fullomn_.. {c |}{col 14}{res}{space 2}-.1220893{col 26}{space 2} .0728207{col 37}{space 1}   -1.68{col 46}{space 3}0.094{col 54}{space 4}-.2652775{col 67}{space 3} .0210988
{txt}c_fullomn_.. {c |}{col 14}{res}{space 2} .0066758{col 26}{space 2} .0039893{col 37}{space 1}    1.67{col 46}{space 3}0.095{col 54}{space 4}-.0011683{col 67}{space 3}   .01452
{txt}c_fullomn_.. {c |}{col 14}{res}{space 2} .0061626{col 26}{space 2} .0177602{col 37}{space 1}    0.35{col 46}{space 3}0.729{col 54}{space 4}-.0287594{col 67}{space 3} .0410847
{txt}{space 7}c_hc2 {c |}{col 14}{res}{space 2} .0278654{col 26}{space 2} .0404648{col 37}{space 1}    0.69{col 46}{space 3}0.491{col 54}{space 4} -.051701{col 67}{space 3} .1074317
{txt}{space 3}c_b_h_del {c |}{col 14}{res}{space 2}-.0228534{col 26}{space 2} .0473769{col 37}{space 1}   -0.48{col 46}{space 3}0.630{col 54}{space 4}-.1160111{col 67}{space 3} .0703043
{txt}c_b_h_staf~s {c |}{col 14}{res}{space 2} .0578397{col 26}{space 2} .0499671{col 37}{space 1}    1.16{col 46}{space 3}0.248{col 54}{space 4}-.0404111{col 67}{space 3} .1560905
{txt}c_bm_visit~d {c |}{col 14}{res}{space 2} .2170309{col 26}{space 2} .0537351{col 37}{space 1}    4.04{col 46}{space 3}0.000{col 54}{space 4}  .111371{col 67}{space 3} .3226908
{txt}{space 1}c_bm_educyr {c |}{col 14}{res}{space 2}-.0114959{col 26}{space 2}  .002742{col 37}{space 1}   -4.19{col 46}{space 3}0.000{col 54}{space 4}-.0168875{col 67}{space 3}-.0061042
{txt}c_bm_asset~x {c |}{col 14}{res}{space 2}-.0493389{col 26}{space 2} .0130675{col 37}{space 1}   -3.78{col 46}{space 3}0.000{col 54}{space 4}-.0750336{col 67}{space 3}-.0236443
{txt}c_infomn_hc2 {c |}{col 14}{res}{space 2}-.0464137{col 26}{space 2} .0541119{col 37}{space 1}   -0.86{col 46}{space 3}0.392{col 54}{space 4}-.1528146{col 67}{space 3} .0599871
{txt}c_infomn_b~l {c |}{col 14}{res}{space 2}-.0003065{col 26}{space 2}  .060286{col 37}{space 1}   -0.01{col 46}{space 3}0.996{col 54}{space 4}-.1188474{col 67}{space 3} .1182345
{txt}c_infomn_b~s {c |}{col 14}{res}{space 2}-.0407323{col 26}{space 2} .0635426{col 37}{space 1}   -0.64{col 46}{space 3}0.522{col 54}{space 4}-.1656767{col 67}{space 3} .0842121
{txt}c_infomn_b.. {c |}{col 14}{res}{space 2} -.093633{col 26}{space 2} .0779862{col 37}{space 1}   -1.20{col 46}{space 3}0.231{col 54}{space 4}-.2469781{col 67}{space 3} .0597121
{txt}c_infomn_b~r {c |}{col 14}{res}{space 2} .0031458{col 26}{space 2} .0040862{col 37}{space 1}    0.77{col 46}{space 3}0.442{col 54}{space 4}-.0048888{col 67}{space 3} .0111805
{txt}c_infomn_b.. {c |}{col 14}{res}{space 2}  .013392{col 26}{space 2}  .017896{col 37}{space 1}    0.75{col 46}{space 3}0.455{col 54}{space 4} -.021797{col 67}{space 3}  .048581
{txt}c_intomn_hc2 {c |}{col 14}{res}{space 2}-.0835228{col 26}{space 2} .0577238{col 37}{space 1}   -1.45{col 46}{space 3}0.149{col 54}{space 4}-.1970257{col 67}{space 3} .0299802
{txt}c_intomn_b~l {c |}{col 14}{res}{space 2} .0075856{col 26}{space 2}  .057213{col 37}{space 1}    0.13{col 46}{space 3}0.895{col 54}{space 4}-.1049129{col 67}{space 3} .1200841
{txt}c_intomn_b~s {c |}{col 14}{res}{space 2}-.0189809{col 26}{space 2} .0566517{col 37}{space 1}   -0.34{col 46}{space 3}0.738{col 54}{space 4}-.1303756{col 67}{space 3} .0924139
{txt}c_intomn_b.. {c |}{col 14}{res}{space 2} .0174996{col 26}{space 2} .0733682{col 37}{space 1}    0.24{col 46}{space 3}0.812{col 54}{space 4}-.1267651{col 67}{space 3} .1617643
{txt}c_intomn_b~r {c |}{col 14}{res}{space 2}-.0003788{col 26}{space 2}  .004026{col 37}{space 1}   -0.09{col 46}{space 3}0.925{col 54}{space 4}-.0082951{col 67}{space 3} .0075375
{txt}c_intomn_b.. {c |}{col 14}{res}{space 2} .0064123{col 26}{space 2} .0178407{col 37}{space 1}    0.36{col 46}{space 3}0.719{col 54}{space 4}-.0286681{col 67}{space 3} .0414927
{txt}{space 7}_cons {c |}{col 14}{res}{space 2}-.0094313{col 26}{space 2} .0158528{col 37}{space 1}   -0.59{col 46}{space 3}0.552{col 54}{space 4}-.0406027{col 67}{space 3} .0217402
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}infomn - intomn = 0{p_end}

{txt}       F(  1,   375) ={res}    1.19
{txt}{col 13}Prob > F ={res}    0.2753

{p 0 7}{space 1}{text:( 1)}{space 1}{space 1}{res}- fullomn + infomn = 0{p_end}

{txt}       F(  1,   375) ={res}    0.65
{txt}{col 13}Prob > F ={res}    0.4218

{p 0 7}{space 1}{text:( 1)}{space 1}{space 1}{res}- fullomn + intomn = 0{p_end}

{txt}       F(  1,   375) ={res}    0.14
{txt}{col 13}Prob > F ={res}    0.7083

{p 0 7}{space 1}{text:( 1)}{space 1} fullomn = 0{p_end}
{p 0 7}{space 1}{text:( 2)}{space 1} infomn = 0{p_end}
{p 0 7}{space 1}{text:( 3)}{space 1} intomn = 0{p_end}

{txt}       F(  3,   375) ={res}    0.74
{txt}{col 13}Prob > F ={res}    0.5310
{txt}note: bm_treatqual_z_d omitted because of collinearity
{res}
{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}    14,459
{txt}{col 49}F({res}  28{txt},{res}    375{txt}){col 67}= {res}      3.35
{txt}{col 49}Prob > F{col 67}= {res}    0.0000
{txt}{col 49}R-squared{col 67}= {res}    0.0914
{txt}{col 49}Adj R-squared{col 67}= {res}    0.0887
{txt}{col 49}Root MSE{col 67}= {res}    0.3813

{txt}{ralign 78:(Std. Err. adjusted for {res:376} clusters in hc_id)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}m_treatq~l_z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 5}fullomn {c |}{col 14}{res}{space 2} .0609249{col 26}{space 2} .0333661{col 37}{space 1}    1.83{col 46}{space 3}0.069{col 54}{space 4}-.0046833{col 67}{space 3}  .126533
{txt}{space 6}infomn {c |}{col 14}{res}{space 2} .0660798{col 26}{space 2} .0326677{col 37}{space 1}    2.02{col 46}{space 3}0.044{col 54}{space 4}  .001845{col 67}{space 3} .1303145
{txt}{space 6}intomn {c |}{col 14}{res}{space 2}  .031108{col 26}{space 2}  .032695{col 37}{space 1}    0.95{col 46}{space 3}0.342{col 54}{space 4}-.0331806{col 67}{space 3} .0953965
{txt}bm_treat~l_z {c |}{col 14}{res}{space 2} .0921282{col 26}{space 2} .0206028{col 37}{space 1}    4.47{col 46}{space 3}0.000{col 54}{space 4} .0516168{col 67}{space 3} .1326397
{txt}bm_tre~l_z_d {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
c_full~n_hc2 {c |}{col 14}{res}{space 2} .0338808{col 26}{space 2} .0763839{col 37}{space 1}    0.44{col 46}{space 3}0.658{col 54}{space 4}-.1163136{col 67}{space 3} .1840753
{txt}c_fullomn_.. {c |}{col 14}{res}{space 2}-.0143397{col 26}{space 2} .0926878{col 37}{space 1}   -0.15{col 46}{space 3}0.877{col 54}{space 4}-.1965927{col 67}{space 3} .1679133
{txt}c_fullomn_.. {c |}{col 14}{res}{space 2} .0002365{col 26}{space 2} .1004006{col 37}{space 1}    0.00{col 46}{space 3}0.998{col 54}{space 4}-.1971822{col 67}{space 3} .1976553
{txt}c_fullomn_.. {c |}{col 14}{res}{space 2}-.0458571{col 26}{space 2} .0524432{col 37}{space 1}   -0.87{col 46}{space 3}0.382{col 54}{space 4}-.1489766{col 67}{space 3} .0572624
{txt}c_fullomn_.. {c |}{col 14}{res}{space 2}  .004986{col 26}{space 2} .0027773{col 37}{space 1}    1.80{col 46}{space 3}0.073{col 54}{space 4}-.0004751{col 67}{space 3} .0104471
{txt}c_fullomn_.. {c |}{col 14}{res}{space 2} .0050012{col 26}{space 2}  .017218{col 37}{space 1}    0.29{col 46}{space 3}0.772{col 54}{space 4}-.0288547{col 67}{space 3} .0388571
{txt}{space 7}c_hc2 {c |}{col 14}{res}{space 2}-.1227608{col 26}{space 2} .0587068{col 37}{space 1}   -2.09{col 46}{space 3}0.037{col 54}{space 4}-.2381966{col 67}{space 3}-.0073249
{txt}{space 3}c_b_h_del {c |}{col 14}{res}{space 2} .0361109{col 26}{space 2} .0719653{col 37}{space 1}    0.50{col 46}{space 3}0.616{col 54}{space 4}-.1053953{col 67}{space 3} .1776171
{txt}c_b_h_staf~s {c |}{col 14}{res}{space 2}  .006293{col 26}{space 2} .0814447{col 37}{space 1}    0.08{col 46}{space 3}0.938{col 54}{space 4}-.1538525{col 67}{space 3} .1664386
{txt}c_bm_visit~d {c |}{col 14}{res}{space 2} .0560157{col 26}{space 2} .0445016{col 37}{space 1}    1.26{col 46}{space 3}0.209{col 54}{space 4}-.0314882{col 67}{space 3} .1435196
{txt}{space 1}c_bm_educyr {c |}{col 14}{res}{space 2}-.0037182{col 26}{space 2} .0022463{col 37}{space 1}   -1.66{col 46}{space 3}0.099{col 54}{space 4}-.0081351{col 67}{space 3} .0006987
{txt}c_bm_asset~x {c |}{col 14}{res}{space 2}-.0064647{col 26}{space 2}  .012499{col 37}{space 1}   -0.52{col 46}{space 3}0.605{col 54}{space 4}-.0310416{col 67}{space 3} .0181122
{txt}c_infomn_hc2 {c |}{col 14}{res}{space 2} .0419698{col 26}{space 2} .0760602{col 37}{space 1}    0.55{col 46}{space 3}0.581{col 54}{space 4} -.107588{col 67}{space 3} .1915277
{txt}c_infomn_b~l {c |}{col 14}{res}{space 2}-.0329762{col 26}{space 2} .0893586{col 37}{space 1}   -0.37{col 46}{space 3}0.712{col 54}{space 4} -.208683{col 67}{space 3} .1427306
{txt}c_infomn_b~s {c |}{col 14}{res}{space 2} .0712948{col 26}{space 2} .1087968{col 37}{space 1}    0.66{col 46}{space 3}0.513{col 54}{space 4}-.1426336{col 67}{space 3} .2852231
{txt}c_infomn_b.. {c |}{col 14}{res}{space 2}-.0429019{col 26}{space 2} .0529556{col 37}{space 1}   -0.81{col 46}{space 3}0.418{col 54}{space 4}-.1470292{col 67}{space 3} .0612253
{txt}c_infomn_b~r {c |}{col 14}{res}{space 2} .0053087{col 26}{space 2} .0027844{col 37}{space 1}    1.91{col 46}{space 3}0.057{col 54}{space 4}-.0001662{col 67}{space 3} .0107836
{txt}c_infomn_b.. {c |}{col 14}{res}{space 2}-.0171211{col 26}{space 2} .0173245{col 37}{space 1}   -0.99{col 46}{space 3}0.324{col 54}{space 4}-.0511864{col 67}{space 3} .0169442
{txt}c_intomn_hc2 {c |}{col 14}{res}{space 2}-.0049794{col 26}{space 2} .0772359{col 37}{space 1}   -0.06{col 46}{space 3}0.949{col 54}{space 4}-.1568492{col 67}{space 3} .1468903
{txt}c_intomn_b~l {c |}{col 14}{res}{space 2}-.0078311{col 26}{space 2} .0868029{col 37}{space 1}   -0.09{col 46}{space 3}0.928{col 54}{space 4}-.1785125{col 67}{space 3} .1628504
{txt}c_intomn_b~s {c |}{col 14}{res}{space 2} .0517243{col 26}{space 2} .0934971{col 37}{space 1}    0.55{col 46}{space 3}0.580{col 54}{space 4}  -.13212{col 67}{space 3} .2355686
{txt}c_intomn_b.. {c |}{col 14}{res}{space 2}-.0189015{col 26}{space 2} .0587593{col 37}{space 1}   -0.32{col 46}{space 3}0.748{col 54}{space 4}-.1344405{col 67}{space 3} .0966376
{txt}c_intomn_b~r {c |}{col 14}{res}{space 2} .0021678{col 26}{space 2} .0029927{col 37}{space 1}    0.72{col 46}{space 3}0.469{col 54}{space 4}-.0037169{col 67}{space 3} .0080524
{txt}c_intomn_b.. {c |}{col 14}{res}{space 2}-.0110685{col 26}{space 2} .0177603{col 37}{space 1}   -0.62{col 46}{space 3}0.534{col 54}{space 4}-.0459908{col 67}{space 3} .0238538
{txt}{space 7}_cons {c |}{col 14}{res}{space 2}-.0052514{col 26}{space 2} .0242706{col 37}{space 1}   -0.22{col 46}{space 3}0.829{col 54}{space 4}-.0529749{col 67}{space 3} .0424721
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}infomn - intomn = 0{p_end}

{txt}       F(  1,   375) ={res}    1.26
{txt}{col 13}Prob > F ={res}    0.2630

{p 0 7}{space 1}{text:( 1)}{space 1}{space 1}{res}- fullomn + infomn = 0{p_end}

{txt}       F(  1,   375) ={res}    0.03
{txt}{col 13}Prob > F ={res}    0.8714

{p 0 7}{space 1}{text:( 1)}{space 1}{space 1}{res}- fullomn + intomn = 0{p_end}

{txt}       F(  1,   375) ={res}    0.90
{txt}{col 13}Prob > F ={res}    0.3438

{p 0 7}{space 1}{text:( 1)}{space 1} fullomn = 0{p_end}
{p 0 7}{space 1}{text:( 2)}{space 1} infomn = 0{p_end}
{p 0 7}{space 1}{text:( 3)}{space 1} intomn = 0{p_end}

{txt}       F(  3,   375) ={res}    1.72
{txt}{col 13}Prob > F ={res}    0.1634
{txt}note: bm_treatqualalt_z_d omitted because of collinearity
{res}
{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}    14,459
{txt}{col 49}F({res}  28{txt},{res}    375{txt}){col 67}= {res}      5.58
{txt}{col 49}Prob > F{col 67}= {res}    0.0000
{txt}{col 49}R-squared{col 67}= {res}    0.0461
{txt}{col 49}Adj R-squared{col 67}= {res}    0.0432
{txt}{col 49}Root MSE{col 67}= {res}    0.5001

{txt}{ralign 78:(Std. Err. adjusted for {res:376} clusters in hc_id)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}m_treatq~t_z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 5}fullomn {c |}{col 14}{res}{space 2}  .037718{col 26}{space 2} .0247818{col 37}{space 1}    1.52{col 46}{space 3}0.129{col 54}{space 4}-.0110107{col 67}{space 3} .0864467
{txt}{space 6}infomn {c |}{col 14}{res}{space 2} .0358943{col 26}{space 2} .0253845{col 37}{space 1}    1.41{col 46}{space 3}0.158{col 54}{space 4}-.0140195{col 67}{space 3}  .085808
{txt}{space 6}intomn {c |}{col 14}{res}{space 2}-.0012868{col 26}{space 2}  .024599{col 37}{space 1}   -0.05{col 46}{space 3}0.958{col 54}{space 4} -.049656{col 67}{space 3} .0470824
{txt}bm_treat~t_z {c |}{col 14}{res}{space 2} .0924962{col 26}{space 2} .0113207{col 37}{space 1}    8.17{col 46}{space 3}0.000{col 54}{space 4} .0702362{col 67}{space 3} .1147562
{txt}bm_tre~t_z_d {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
c_full~n_hc2 {c |}{col 14}{res}{space 2}-.0203224{col 26}{space 2} .0597528{col 37}{space 1}   -0.34{col 46}{space 3}0.734{col 54}{space 4}-.1378149{col 67}{space 3} .0971701
{txt}c_fullomn_.. {c |}{col 14}{res}{space 2}-.0228772{col 26}{space 2} .0669988{col 37}{space 1}   -0.34{col 46}{space 3}0.733{col 54}{space 4}-.1546175{col 67}{space 3} .1088632
{txt}c_fullomn_.. {c |}{col 14}{res}{space 2} .0037167{col 26}{space 2} .0741379{col 37}{space 1}    0.05{col 46}{space 3}0.960{col 54}{space 4}-.1420613{col 67}{space 3} .1494948
{txt}c_fullomn_.. {c |}{col 14}{res}{space 2} .0119486{col 26}{space 2} .0430122{col 37}{space 1}    0.28{col 46}{space 3}0.781{col 54}{space 4}-.0726267{col 67}{space 3} .0965239
{txt}c_fullomn_.. {c |}{col 14}{res}{space 2} .0007092{col 26}{space 2} .0032363{col 37}{space 1}    0.22{col 46}{space 3}0.827{col 54}{space 4}-.0056544{col 67}{space 3} .0070728
{txt}c_fullomn_.. {c |}{col 14}{res}{space 2} .0111075{col 26}{space 2} .0153782{col 37}{space 1}    0.72{col 46}{space 3}0.471{col 54}{space 4}-.0191307{col 67}{space 3} .0413458
{txt}{space 7}c_hc2 {c |}{col 14}{res}{space 2}-.0326754{col 26}{space 2} .0466928{col 37}{space 1}   -0.70{col 46}{space 3}0.484{col 54}{space 4} -.124488{col 67}{space 3} .0591371
{txt}{space 3}c_b_h_del {c |}{col 14}{res}{space 2} .0644692{col 26}{space 2} .0535734{col 37}{space 1}    1.20{col 46}{space 3}0.230{col 54}{space 4}-.0408726{col 67}{space 3}  .169811
{txt}c_b_h_staf~s {c |}{col 14}{res}{space 2} .0389181{col 26}{space 2} .0614287{col 37}{space 1}    0.63{col 46}{space 3}0.527{col 54}{space 4}-.0818697{col 67}{space 3} .1597059
{txt}c_bm_visit~d {c |}{col 14}{res}{space 2} .0301084{col 26}{space 2} .0362396{col 37}{space 1}    0.83{col 46}{space 3}0.407{col 54}{space 4}-.0411498{col 67}{space 3} .1013667
{txt}{space 1}c_bm_educyr {c |}{col 14}{res}{space 2} -.001696{col 26}{space 2}  .002497{col 37}{space 1}   -0.68{col 46}{space 3}0.497{col 54}{space 4}-.0066058{col 67}{space 3} .0032138
{txt}c_bm_asset~x {c |}{col 14}{res}{space 2}-.0088599{col 26}{space 2} .0113851{col 37}{space 1}   -0.78{col 46}{space 3}0.437{col 54}{space 4}-.0312465{col 67}{space 3} .0135267
{txt}c_infomn_hc2 {c |}{col 14}{res}{space 2}-.0017379{col 26}{space 2}  .062134{col 37}{space 1}   -0.03{col 46}{space 3}0.978{col 54}{space 4}-.1239126{col 67}{space 3} .1204367
{txt}c_infomn_b~l {c |}{col 14}{res}{space 2}-.0229039{col 26}{space 2} .0692131{col 37}{space 1}   -0.33{col 46}{space 3}0.741{col 54}{space 4}-.1589983{col 67}{space 3} .1131904
{txt}c_infomn_b~s {c |}{col 14}{res}{space 2}  .029468{col 26}{space 2} .0806514{col 37}{space 1}    0.37{col 46}{space 3}0.715{col 54}{space 4}-.1291177{col 67}{space 3} .1880536
{txt}c_infomn_b.. {c |}{col 14}{res}{space 2}-.0177713{col 26}{space 2} .0432505{col 37}{space 1}   -0.41{col 46}{space 3}0.681{col 54}{space 4}-.1028152{col 67}{space 3} .0672727
{txt}c_infomn_b~r {c |}{col 14}{res}{space 2} .0025777{col 26}{space 2} .0032479{col 37}{space 1}    0.79{col 46}{space 3}0.428{col 54}{space 4}-.0038087{col 67}{space 3}  .008964
{txt}c_infomn_b.. {c |}{col 14}{res}{space 2}-.0205443{col 26}{space 2} .0164693{col 37}{space 1}   -1.25{col 46}{space 3}0.213{col 54}{space 4}-.0529281{col 67}{space 3} .0118396
{txt}c_intomn_hc2 {c |}{col 14}{res}{space 2}-.0479701{col 26}{space 2} .0580901{col 37}{space 1}   -0.83{col 46}{space 3}0.409{col 54}{space 4}-.1621934{col 67}{space 3} .0662531
{txt}c_intomn_b~l {c |}{col 14}{res}{space 2}-.0134835{col 26}{space 2} .0669619{col 37}{space 1}   -0.20{col 46}{space 3}0.841{col 54}{space 4}-.1451513{col 67}{space 3} .1181843
{txt}c_intomn_b~s {c |}{col 14}{res}{space 2}-.0244683{col 26}{space 2}  .075912{col 37}{space 1}   -0.32{col 46}{space 3}0.747{col 54}{space 4}-.1737348{col 67}{space 3} .1247982
{txt}c_intomn_b.. {c |}{col 14}{res}{space 2}-.0017893{col 26}{space 2} .0457099{col 37}{space 1}   -0.04{col 46}{space 3}0.969{col 54}{space 4}-.0916691{col 67}{space 3} .0880904
{txt}c_intomn_b~r {c |}{col 14}{res}{space 2} .0001061{col 26}{space 2} .0032746{col 37}{space 1}    0.03{col 46}{space 3}0.974{col 54}{space 4}-.0063327{col 67}{space 3} .0065449
{txt}c_intomn_b.. {c |}{col 14}{res}{space 2}-.0222792{col 26}{space 2} .0171245{col 37}{space 1}   -1.30{col 46}{space 3}0.194{col 54}{space 4}-.0559513{col 67}{space 3}  .011393
{txt}{space 7}_cons {c |}{col 14}{res}{space 2}-.0082321{col 26}{space 2} .0181297{col 37}{space 1}   -0.45{col 46}{space 3}0.650{col 54}{space 4}-.0438807{col 67}{space 3} .0274165
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}infomn - intomn = 0{p_end}

{txt}       F(  1,   375) ={res}    2.34
{txt}{col 13}Prob > F ={res}    0.1266

{p 0 7}{space 1}{text:( 1)}{space 1}{space 1}{res}- fullomn + infomn = 0{p_end}

{txt}       F(  1,   375) ={res}    0.01
{txt}{col 13}Prob > F ={res}    0.9408

{p 0 7}{space 1}{text:( 1)}{space 1}{space 1}{res}- fullomn + intomn = 0{p_end}

{txt}       F(  1,   375) ={res}    2.75
{txt}{col 13}Prob > F ={res}    0.0982

{p 0 7}{space 1}{text:( 1)}{space 1} fullomn = 0{p_end}
{p 0 7}{space 1}{text:( 2)}{space 1} infomn = 0{p_end}
{p 0 7}{space 1}{text:( 3)}{space 1} intomn = 0{p_end}

{txt}       F(  3,   375) ={res}    1.59
{txt}{col 13}Prob > F ={res}    0.1921
{txt}note: bm_patsat_z_d omitted because of collinearity
{res}
{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}    14,459
{txt}{col 49}F({res}  28{txt},{res}    375{txt}){col 67}= {res}     12.19
{txt}{col 49}Prob > F{col 67}= {res}    0.0000
{txt}{col 49}R-squared{col 67}= {res}    0.0482
{txt}{col 49}Adj R-squared{col 67}= {res}    0.0454
{txt}{col 49}Root MSE{col 67}= {res}    0.6072

{txt}{ralign 78:(Std. Err. adjusted for {res:376} clusters in hc_id)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}  m_patsat_z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 5}fullomn {c |}{col 14}{res}{space 2} .0388344{col 26}{space 2} .0289026{col 37}{space 1}    1.34{col 46}{space 3}0.180{col 54}{space 4} -.017997{col 67}{space 3} .0956659
{txt}{space 6}infomn {c |}{col 14}{res}{space 2} .0442986{col 26}{space 2} .0272239{col 37}{space 1}    1.63{col 46}{space 3}0.105{col 54}{space 4}-.0092321{col 67}{space 3} .0978292
{txt}{space 6}intomn {c |}{col 14}{res}{space 2} .0178551{col 26}{space 2} .0280009{col 37}{space 1}    0.64{col 46}{space 3}0.524{col 54}{space 4}-.0372034{col 67}{space 3} .0729135
{txt}{space 1}bm_patsat_z {c |}{col 14}{res}{space 2}  .164128{col 26}{space 2} .0108401{col 37}{space 1}   15.14{col 46}{space 3}0.000{col 54}{space 4} .1428131{col 67}{space 3} .1854429
{txt}bm_pat~t_z_d {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
c_full~n_hc2 {c |}{col 14}{res}{space 2}-.0184434{col 26}{space 2}  .070776{col 37}{space 1}   -0.26{col 46}{space 3}0.795{col 54}{space 4} -.157611{col 67}{space 3} .1207242
{txt}c_fullomn_.. {c |}{col 14}{res}{space 2}-.0515317{col 26}{space 2} .0760669{col 37}{space 1}   -0.68{col 46}{space 3}0.499{col 54}{space 4}-.2011029{col 67}{space 3} .0980395
{txt}c_fullomn_.. {c |}{col 14}{res}{space 2}-.0794407{col 26}{space 2} .0716932{col 37}{space 1}   -1.11{col 46}{space 3}0.269{col 54}{space 4}-.2204117{col 67}{space 3} .0615303
{txt}c_fullomn_.. {c |}{col 14}{res}{space 2} .1007355{col 26}{space 2}  .050416{col 37}{space 1}    2.00{col 46}{space 3}0.046{col 54}{space 4} .0016019{col 67}{space 3} .1998691
{txt}c_fullomn_.. {c |}{col 14}{res}{space 2} .0031341{col 26}{space 2} .0036401{col 37}{space 1}    0.86{col 46}{space 3}0.390{col 54}{space 4}-.0040236{col 67}{space 3} .0102917
{txt}c_fullomn_.. {c |}{col 14}{res}{space 2}  .024063{col 26}{space 2} .0153724{col 37}{space 1}    1.57{col 46}{space 3}0.118{col 54}{space 4}-.0061639{col 67}{space 3} .0542899
{txt}{space 7}c_hc2 {c |}{col 14}{res}{space 2}-.0235598{col 26}{space 2} .0524405{col 37}{space 1}   -0.45{col 46}{space 3}0.653{col 54}{space 4} -.126674{col 67}{space 3} .0795545
{txt}{space 3}c_b_h_del {c |}{col 14}{res}{space 2} .0624255{col 26}{space 2} .0585934{col 37}{space 1}    1.07{col 46}{space 3}0.287{col 54}{space 4}-.0527873{col 67}{space 3} .1776383
{txt}c_b_h_staf~s {c |}{col 14}{res}{space 2} .0421743{col 26}{space 2} .0564782{col 37}{space 1}    0.75{col 46}{space 3}0.456{col 54}{space 4}-.0688793{col 67}{space 3} .1532279
{txt}c_bm_visit~d {c |}{col 14}{res}{space 2}-.0044558{col 26}{space 2} .0302493{col 37}{space 1}   -0.15{col 46}{space 3}0.883{col 54}{space 4}-.0639354{col 67}{space 3} .0550237
{txt}{space 1}c_bm_educyr {c |}{col 14}{res}{space 2} .0001445{col 26}{space 2} .0025753{col 37}{space 1}    0.06{col 46}{space 3}0.955{col 54}{space 4}-.0049193{col 67}{space 3} .0052083
{txt}c_bm_asset~x {c |}{col 14}{res}{space 2}  .003151{col 26}{space 2}  .010537{col 37}{space 1}    0.30{col 46}{space 3}0.765{col 54}{space 4} -.017568{col 67}{space 3} .0238699
{txt}c_infomn_hc2 {c |}{col 14}{res}{space 2} .0233243{col 26}{space 2} .0734333{col 37}{space 1}    0.32{col 46}{space 3}0.751{col 54}{space 4}-.1210684{col 67}{space 3} .1677169
{txt}c_infomn_b~l {c |}{col 14}{res}{space 2}-.0812349{col 26}{space 2} .0754048{col 37}{space 1}   -1.08{col 46}{space 3}0.282{col 54}{space 4} -.229504{col 67}{space 3} .0670343
{txt}c_infomn_b~s {c |}{col 14}{res}{space 2} .0224817{col 26}{space 2} .0664762{col 37}{space 1}    0.34{col 46}{space 3}0.735{col 54}{space 4}-.1082311{col 67}{space 3} .1531944
{txt}c_infomn_b.. {c |}{col 14}{res}{space 2}-.0003198{col 26}{space 2}  .045181{col 37}{space 1}   -0.01{col 46}{space 3}0.994{col 54}{space 4}-.0891597{col 67}{space 3} .0885201
{txt}c_infomn_b~r {c |}{col 14}{res}{space 2} .0033646{col 26}{space 2} .0034572{col 37}{space 1}    0.97{col 46}{space 3}0.331{col 54}{space 4}-.0034334{col 67}{space 3} .0101626
{txt}c_infomn_b.. {c |}{col 14}{res}{space 2} .0040511{col 26}{space 2} .0163476{col 37}{space 1}    0.25{col 46}{space 3}0.804{col 54}{space 4}-.0280933{col 67}{space 3} .0361956
{txt}c_intomn_hc2 {c |}{col 14}{res}{space 2}-.0669871{col 26}{space 2} .0738066{col 37}{space 1}   -0.91{col 46}{space 3}0.365{col 54}{space 4}-.2121138{col 67}{space 3} .0781395
{txt}c_intomn_b~l {c |}{col 14}{res}{space 2}-.1050842{col 26}{space 2} .0779457{col 37}{space 1}   -1.35{col 46}{space 3}0.178{col 54}{space 4}-.2583496{col 67}{space 3} .0481811
{txt}c_intomn_b~s {c |}{col 14}{res}{space 2}-.0014313{col 26}{space 2} .0760001{col 37}{space 1}   -0.02{col 46}{space 3}0.985{col 54}{space 4} -.150871{col 67}{space 3} .1480083
{txt}c_intomn_b.. {c |}{col 14}{res}{space 2}-.0018353{col 26}{space 2}  .049958{col 37}{space 1}   -0.04{col 46}{space 3}0.971{col 54}{space 4}-.1000681{col 67}{space 3} .0963976
{txt}c_intomn_b~r {c |}{col 14}{res}{space 2}-.0005691{col 26}{space 2} .0035839{col 37}{space 1}   -0.16{col 46}{space 3}0.874{col 54}{space 4}-.0076163{col 67}{space 3}  .006478
{txt}c_intomn_b.. {c |}{col 14}{res}{space 2} .0118919{col 26}{space 2} .0162276{col 37}{space 1}    0.73{col 46}{space 3}0.464{col 54}{space 4}-.0200166{col 67}{space 3} .0438005
{txt}{space 7}_cons {c |}{col 14}{res}{space 2}-.0032412{col 26}{space 2} .0196698{col 37}{space 1}   -0.16{col 46}{space 3}0.869{col 54}{space 4}-.0419182{col 67}{space 3} .0354358
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}infomn - intomn = 0{p_end}

{txt}       F(  1,   375) ={res}    0.90
{txt}{col 13}Prob > F ={res}    0.3423

{p 0 7}{space 1}{text:( 1)}{space 1}{space 1}{res}- fullomn + infomn = 0{p_end}

{txt}       F(  1,   375) ={res}    0.04
{txt}{col 13}Prob > F ={res}    0.8485

{p 0 7}{space 1}{text:( 1)}{space 1}{space 1}{res}- fullomn + intomn = 0{p_end}

{txt}       F(  1,   375) ={res}    0.52
{txt}{col 13}Prob > F ={res}    0.4697

{p 0 7}{space 1}{text:( 1)}{space 1} fullomn = 0{p_end}
{p 0 7}{space 1}{text:( 2)}{space 1} infomn = 0{p_end}
{p 0 7}{space 1}{text:( 3)}{space 1} intomn = 0{p_end}

{txt}       F(  3,   375) ={res}    1.08
{txt}{col 13}Prob > F ={res}    0.3594
{txt}note: bm_commtg_z_d omitted because of collinearity
{res}
{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}    14,459
{txt}{col 49}F({res}  28{txt},{res}    375{txt}){col 67}= {res}      7.25
{txt}{col 49}Prob > F{col 67}= {res}    0.0000
{txt}{col 49}R-squared{col 67}= {res}    0.0366
{txt}{col 49}Adj R-squared{col 67}= {res}    0.0337
{txt}{col 49}Root MSE{col 67}= {res}    0.5554

{txt}{ralign 78:(Std. Err. adjusted for {res:376} clusters in hc_id)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}  m_commtg_z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 5}fullomn {c |}{col 14}{res}{space 2} .0111558{col 26}{space 2} .0250176{col 37}{space 1}    0.45{col 46}{space 3}0.656{col 54}{space 4}-.0380364{col 67}{space 3} .0603481
{txt}{space 6}infomn {c |}{col 14}{res}{space 2} .0319122{col 26}{space 2} .0252082{col 37}{space 1}    1.27{col 46}{space 3}0.206{col 54}{space 4}-.0176549{col 67}{space 3} .0814794
{txt}{space 6}intomn {c |}{col 14}{res}{space 2} .0287808{col 26}{space 2} .0248728{col 37}{space 1}    1.16{col 46}{space 3}0.248{col 54}{space 4}-.0201269{col 67}{space 3} .0776884
{txt}{space 1}bm_commtg_z {c |}{col 14}{res}{space 2} .0749041{col 26}{space 2} .0083399{col 37}{space 1}    8.98{col 46}{space 3}0.000{col 54}{space 4} .0585052{col 67}{space 3}  .091303
{txt}bm_commt~z_d {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
c_full~n_hc2 {c |}{col 14}{res}{space 2} .0155157{col 26}{space 2} .0603055{col 37}{space 1}    0.26{col 46}{space 3}0.797{col 54}{space 4}-.1030637{col 67}{space 3} .1340951
{txt}c_fullomn_.. {c |}{col 14}{res}{space 2} .0887896{col 26}{space 2} .0635916{col 37}{space 1}    1.40{col 46}{space 3}0.163{col 54}{space 4}-.0362511{col 67}{space 3} .2138304
{txt}c_fullomn_.. {c |}{col 14}{res}{space 2}-.0893354{col 26}{space 2} .0783583{col 37}{space 1}   -1.14{col 46}{space 3}0.255{col 54}{space 4}-.2434122{col 67}{space 3} .0647413
{txt}c_fullomn_.. {c |}{col 14}{res}{space 2} .0094267{col 26}{space 2} .0510008{col 37}{space 1}    0.18{col 46}{space 3}0.853{col 54}{space 4}-.0908567{col 67}{space 3}   .10971
{txt}c_fullomn_.. {c |}{col 14}{res}{space 2} .0010232{col 26}{space 2} .0037419{col 37}{space 1}    0.27{col 46}{space 3}0.785{col 54}{space 4}-.0063346{col 67}{space 3} .0083811
{txt}c_fullomn_.. {c |}{col 14}{res}{space 2}  .010528{col 26}{space 2} .0178665{col 37}{space 1}    0.59{col 46}{space 3}0.556{col 54}{space 4}-.0246032{col 67}{space 3} .0456591
{txt}{space 7}c_hc2 {c |}{col 14}{res}{space 2} .0482495{col 26}{space 2} .0471283{col 37}{space 1}    1.02{col 46}{space 3}0.307{col 54}{space 4}-.0444194{col 67}{space 3} .1409183
{txt}{space 3}c_b_h_del {c |}{col 14}{res}{space 2} -.027379{col 26}{space 2} .0515014{col 37}{space 1}   -0.53{col 46}{space 3}0.595{col 54}{space 4}-.1286467{col 67}{space 3} .0738888
{txt}c_b_h_staf~s {c |}{col 14}{res}{space 2} .0597339{col 26}{space 2}  .061589{col 37}{space 1}    0.97{col 46}{space 3}0.333{col 54}{space 4} -.061369{col 67}{space 3} .1808369
{txt}c_bm_visit~d {c |}{col 14}{res}{space 2} .1137295{col 26}{space 2} .0371752{col 37}{space 1}    3.06{col 46}{space 3}0.002{col 54}{space 4} .0406315{col 67}{space 3} .1868275
{txt}{space 1}c_bm_educyr {c |}{col 14}{res}{space 2} .0020404{col 26}{space 2} .0025057{col 37}{space 1}    0.81{col 46}{space 3}0.416{col 54}{space 4}-.0028866{col 67}{space 3} .0069674
{txt}c_bm_asset~x {c |}{col 14}{res}{space 2} .0098579{col 26}{space 2} .0145063{col 37}{space 1}    0.68{col 46}{space 3}0.497{col 54}{space 4}-.0186661{col 67}{space 3} .0383819
{txt}c_infomn_hc2 {c |}{col 14}{res}{space 2}-.0145175{col 26}{space 2} .0589342{col 37}{space 1}   -0.25{col 46}{space 3}0.806{col 54}{space 4}-.1304004{col 67}{space 3} .1013655
{txt}c_infomn_b~l {c |}{col 14}{res}{space 2} .0458153{col 26}{space 2} .0656419{col 37}{space 1}    0.70{col 46}{space 3}0.486{col 54}{space 4} -.083257{col 67}{space 3} .1748876
{txt}c_infomn_b~s {c |}{col 14}{res}{space 2}-.0817713{col 26}{space 2} .0828951{col 37}{space 1}   -0.99{col 46}{space 3}0.325{col 54}{space 4}-.2447687{col 67}{space 3} .0812261
{txt}c_infomn_b.. {c |}{col 14}{res}{space 2} .0209405{col 26}{space 2} .0563713{col 37}{space 1}    0.37{col 46}{space 3}0.710{col 54}{space 4}-.0899029{col 67}{space 3}  .131784
{txt}c_infomn_b~r {c |}{col 14}{res}{space 2} .0012621{col 26}{space 2} .0036696{col 37}{space 1}    0.34{col 46}{space 3}0.731{col 54}{space 4}-.0059534{col 67}{space 3} .0084776
{txt}c_infomn_b.. {c |}{col 14}{res}{space 2} .0098333{col 26}{space 2} .0189196{col 37}{space 1}    0.52{col 46}{space 3}0.604{col 54}{space 4}-.0273685{col 67}{space 3} .0470351
{txt}c_intomn_hc2 {c |}{col 14}{res}{space 2}  .052455{col 26}{space 2} .0599512{col 37}{space 1}    0.87{col 46}{space 3}0.382{col 54}{space 4}-.0654277{col 67}{space 3} .1703377
{txt}c_intomn_b~l {c |}{col 14}{res}{space 2}-.0280582{col 26}{space 2} .0678199{col 37}{space 1}   -0.41{col 46}{space 3}0.679{col 54}{space 4}-.1614131{col 67}{space 3} .1052967
{txt}c_intomn_b~s {c |}{col 14}{res}{space 2}-.0034322{col 26}{space 2} .0749981{col 37}{space 1}   -0.05{col 46}{space 3}0.964{col 54}{space 4}-.1509017{col 67}{space 3} .1440374
{txt}c_intomn_b.. {c |}{col 14}{res}{space 2} .0440314{col 26}{space 2} .0681676{col 37}{space 1}    0.65{col 46}{space 3}0.519{col 54}{space 4}-.0900073{col 67}{space 3}   .17807
{txt}c_intomn_b~r {c |}{col 14}{res}{space 2}-.0021979{col 26}{space 2} .0035803{col 37}{space 1}   -0.61{col 46}{space 3}0.540{col 54}{space 4} -.009238{col 67}{space 3} .0048421
{txt}c_intomn_b.. {c |}{col 14}{res}{space 2} .0249059{col 26}{space 2} .0185554{col 37}{space 1}    1.34{col 46}{space 3}0.180{col 54}{space 4}-.0115798{col 67}{space 3} .0613916
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} .0029072{col 26}{space 2} .0187201{col 37}{space 1}    0.16{col 46}{space 3}0.877{col 54}{space 4}-.0339024{col 67}{space 3} .0397168
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}infomn - intomn = 0{p_end}

{txt}       F(  1,   375) ={res}    0.02
{txt}{col 13}Prob > F ={res}    0.8940

{p 0 7}{space 1}{text:( 1)}{space 1}{space 1}{res}- fullomn + infomn = 0{p_end}

{txt}       F(  1,   375) ={res}    0.76
{txt}{col 13}Prob > F ={res}    0.3841

{p 0 7}{space 1}{text:( 1)}{space 1}{space 1}{res}- fullomn + intomn = 0{p_end}

{txt}       F(  1,   375) ={res}    0.58
{txt}{col 13}Prob > F ={res}    0.4472

{p 0 7}{space 1}{text:( 1)}{space 1} fullomn = 0{p_end}
{p 0 7}{space 1}{text:( 2)}{space 1} infomn = 0{p_end}
{p 0 7}{space 1}{text:( 3)}{space 1} intomn = 0{p_end}

{txt}       F(  3,   375) ={res}    0.73
{txt}{col 13}Prob > F ={res}    0.5344
{txt}
{com}.         
.         * Child mortality at the HC level
.         
.         local y = 6
{txt}
{com}.         foreach x in `indices_hc' {c -(}
{txt}  2{com}.                 areg  m_`x' fullomn infomn intomn bm_`x'  `fullomn_hc_int_m_controls' `m_controls_hc' `infomn_hc_int_m_controls' `intomn_hc_int_m_controls' if uniquehc == 1, robust a(district)
{txt}  3{com}.                 
.                 local n_1_`x' = string(`e(N)',"%9.0fc")
{txt}  4{com}.                 local r2_1_`x' = string(`e(r2)',"%9.3fc")
{txt}  5{com}.                 local est_1_`x' = string(_b[fullomn],"%9.3fc")
{txt}  6{com}.                 local se_1_`x' = string(_se[fullomn],"%9.3fc")
{txt}  7{com}.                 local p_1_`x' = (2 * ttail(e(df_r), abs(_b[fullomn]/_se[fullomn])))
{txt}  8{com}.                 
.                 gen s_1_1s_`x' = (`p_1_`x''<=0.1 & `p_1_`x''>0.05)
{txt}  9{com}.                 gen s_1_2s_`x' = (`p_1_`x''<=0.05 & `p_1_`x''>0.01)
{txt} 10{com}.                 gen s_1_3s_`x' = (`p_1_`x''<=0.01 & `p_1_`x''>=0)
{txt} 11{com}.         
.                 if s_1_1s_`x' == 1 {c -(}
{txt} 12{com}.                                 local est_1_`x' = "`est_1_`x''*"
{txt} 13{com}.                                 {c )-}
{txt} 14{com}.                                 
.                 if s_1_2s_`x' == 1 {c -(}
{txt} 15{com}.                                 local est_1_`x' = "`est_1_`x''**"
{txt} 16{com}.                                 {c )-}
{txt} 17{com}.                                 
.                 if s_1_3s_`x' == 1 {c -(}
{txt} 18{com}.                                 local est_1_`x' = "`est_1_`x''***"
{txt} 19{com}.                                 {c )-}
{txt} 20{com}.                 
.                 local est_2_`x' = string(_b[infomn],"%9.3fc")
{txt} 21{com}.                 local se_2_`x' = string(_se[infomn],"%9.3fc")
{txt} 22{com}.                 local p_2_`x' = (2 * ttail(e(df_r), abs(_b[infomn]/_se[infomn])))
{txt} 23{com}.                 
.                 gen s_2_1s_`x' = (`p_2_`x''<=0.1 & `p_2_`x''>0.05)
{txt} 24{com}.                 gen s_2_2s_`x' = (`p_2_`x''<=0.05 & `p_2_`x''>0.01)
{txt} 25{com}.                 gen s_2_3s_`x' = (`p_2_`x''<=0.01 & `p_2_`x''>=0)
{txt} 26{com}.         
.                 if s_2_1s_`x' == 1 {c -(}
{txt} 27{com}.                                 local est_2_`x' = "`est_2_`x''*"
{txt} 28{com}.                                 {c )-}
{txt} 29{com}.                                 
.                 if s_2_2s_`x' == 1 {c -(}
{txt} 30{com}.                                 local est_2_`x' = "`est_2_`x''**"
{txt} 31{com}.                                 {c )-}
{txt} 32{com}.                                 
.                 if s_2_3s_`x' == 1 {c -(}
{txt} 33{com}.                                 local est_2_`x' = "`est_2_`x''***"
{txt} 34{com}.                                 {c )-}
{txt} 35{com}.                 
.                 local e_3_`x' = string(_b[intomn],"%9.3fc")
{txt} 36{com}.                 local se_3_`x' = string(_se[intomn],"%9.3fc")
{txt} 37{com}.                 local p_3_`x' = (2 * ttail(e(df_r), abs(_b[intomn]/_se[intomn])))
{txt} 38{com}.                 
.                 gen s_3_1s_`x' = (`p_3_`x''<=0.1 & `p_3_`x''>0.05)
{txt} 39{com}.                 gen s_3_2s_`x' = (`p_3_`x''<=0.05 & `p_3_`x''>0.01)
{txt} 40{com}.                 gen s_3_3s_`x' = (`p_3_`x''<=0.01 & `p_3_`x''>=0)
{txt} 41{com}.         
.                 if s_3_1s_`x' == 1 {c -(}
{txt} 42{com}.                                 local e_3_`x' = "`e_3_`x''*"
{txt} 43{com}.                                 {c )-}
{txt} 44{com}.                                 
.                 if s_3_2s_`x' == 1 {c -(}
{txt} 45{com}.                                 local e_3_`x' = "`e_3_`x''**"
{txt} 46{com}.                                 {c )-}
{txt} 47{com}.                                 
.                 if s_3_3s_`x' == 1 {c -(}
{txt} 48{com}.                                 local e_3_`x' = "`e_3_`x''***"
{txt} 49{com}.                                 {c )-}
{txt} 50{com}.                                 
.                 local est_4_`x' = string(_b[_cons],"%9.3fc")
{txt} 51{com}.                 local se_4_`x' = string(_se[_cons],"%9.3fc")
{txt} 52{com}.                 local p_4_`x' = (2 * ttail(e(df_r), abs(_b[_cons]/_se[_cons])))
{txt} 53{com}.                 
.                 gen s_4_1s_`x' = (`p_4_`x''<=0.1 & `p_4_`x''>0.05)
{txt} 54{com}.                 gen s_4_2s_`x' = (`p_4_`x''<=0.05 & `p_4_`x''>0.01)
{txt} 55{com}.                 gen s_4_3s_`x' = (`p_4_`x''<=0.01 & `p_4_`x''>=0)
{txt} 56{com}.         
.                 if s_4_1s_`x' == 1 {c -(}
{txt} 57{com}.                                 local est_4_`x' = "`est_4_`x''*"
{txt} 58{com}.                                 {c )-}
{txt} 59{com}.                                 
.                 if s_4_2s_`x' == 1 {c -(}
{txt} 60{com}.                                 local est_4_`x' = "`est_4_`x''**"
{txt} 61{com}.                                 {c )-}
{txt} 62{com}.                                 
.                 if s_4_3s_`x' == 1 {c -(}
{txt} 63{com}.                                 local est_4_`x' = "`est_4_`x''***"
{txt} 64{com}.                                 {c )-}
{txt} 65{com}.         
.                 
.                 test infomn = intomn
{txt} 66{com}.                 local f_wald_`x' = string(r(p),"%9.3fc")
{txt} 67{com}.                 
.                 test infomn = fullomn
{txt} 68{com}.                 local f_wald1_`x' = string(r(p),"%9.3fc")
{txt} 69{com}.                 
.                 test intomn = fullomn
{txt} 70{com}.                 local f_wald2_`x' = string(r(p),"%9.3fc")
{txt} 71{com}.                 
.                 test fullomn infomn intomn
{txt} 72{com}.                 local f_3_`x' = string(`r(F)',"%9.3fc")
{txt} 73{com}.                 local f_wald3_`x' = string(`r(p)',"%9.3fc")
{txt} 74{com}. 
.                 drop s_*
{txt} 75{com}.                 
.                 {c )-}
{res}
{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}       376
{txt}{col 49}F({res}  28{txt},{res}    332{txt}){col 67}= {res}      1.25
{txt}{col 49}Prob > F{col 67}= {res}    0.1830
{txt}{col 49}R-squared{col 67}= {res}    0.1531
{txt}{col 49}Adj R-squared{col 67}= {res}    0.0434
{txt}{col 49}Root MSE{col 67}= {res}    0.0640

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}m_mortrat~05{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 5}fullomn {c |}{col 14}{res}{space 2}-.0136831{col 26}{space 2} .0099024{col 37}{space 1}   -1.38{col 46}{space 3}0.168{col 54}{space 4}-.0331625{col 67}{space 3} .0057962
{txt}{space 6}infomn {c |}{col 14}{res}{space 2}-.0214222{col 26}{space 2}  .009091{col 37}{space 1}   -2.36{col 46}{space 3}0.019{col 54}{space 4}-.0393054{col 67}{space 3} -.003539
{txt}{space 6}intomn {c |}{col 14}{res}{space 2}-.0113263{col 26}{space 2} .0100901{col 37}{space 1}   -1.12{col 46}{space 3}0.262{col 54}{space 4}-.0311749{col 67}{space 3} .0085223
{txt}bm_mortra~05 {c |}{col 14}{res}{space 2} .0896549{col 26}{space 2} .0559083{col 37}{space 1}    1.60{col 46}{space 3}0.110{col 54}{space 4}-.0203244{col 67}{space 3} .1996341
{txt}c_full~c_hc2 {c |}{col 14}{res}{space 2}-.0155504{col 26}{space 2}  .025344{col 37}{space 1}   -0.61{col 46}{space 3}0.540{col 54}{space 4}-.0654054{col 67}{space 3} .0343046
{txt}c_fullomn_.. {c |}{col 14}{res}{space 2} .0219424{col 26}{space 2} .0289398{col 37}{space 1}    0.76{col 46}{space 3}0.449{col 54}{space 4}-.0349861{col 67}{space 3} .0788709
{txt}c_fullomn_.. {c |}{col 14}{res}{space 2}-.0510403{col 26}{space 2} .0324468{col 37}{space 1}   -1.57{col 46}{space 3}0.117{col 54}{space 4}-.1148676{col 67}{space 3}  .012787
{txt}c_fullomn_.. {c |}{col 14}{res}{space 2}-.0686669{col 26}{space 2} .1192224{col 37}{space 1}   -0.58{col 46}{space 3}0.565{col 54}{space 4}-.3031936{col 67}{space 3} .1658597
{txt}c_fullomn_.. {c |}{col 14}{res}{space 2}-.0131127{col 26}{space 2} .0112789{col 37}{space 1}   -1.16{col 46}{space 3}0.246{col 54}{space 4}-.0352998{col 67}{space 3} .0090744
{txt}c_fullomn_.. {c |}{col 14}{res}{space 2} .0009331{col 26}{space 2} .0341519{col 37}{space 1}    0.03{col 46}{space 3}0.978{col 54}{space 4}-.0662484{col 67}{space 3} .0681146
{txt}{space 4}c_hc_hc2 {c |}{col 14}{res}{space 2} .0094522{col 26}{space 2}  .021454{col 37}{space 1}    0.44{col 46}{space 3}0.660{col 54}{space 4}-.0327507{col 67}{space 3}  .051655
{txt}c_hc_b_h_del {c |}{col 14}{res}{space 2}-.0143801{col 26}{space 2}  .025122{col 37}{space 1}   -0.57{col 46}{space 3}0.567{col 54}{space 4}-.0637986{col 67}{space 3} .0350383
{txt}c_hc_b_h_s~s {c |}{col 14}{res}{space 2} .0219524{col 26}{space 2} .0267324{col 37}{space 1}    0.82{col 46}{space 3}0.412{col 54}{space 4}-.0306339{col 67}{space 3} .0745386
{txt}c_hc_bm_vi~d {c |}{col 14}{res}{space 2} .0078321{col 26}{space 2} .0678519{col 37}{space 1}    0.12{col 46}{space 3}0.908{col 54}{space 4}-.1256417{col 67}{space 3} .1413059
{txt}c_hc_bm_ed~r {c |}{col 14}{res}{space 2}-.0101924{col 26}{space 2} .0084463{col 37}{space 1}   -1.21{col 46}{space 3}0.228{col 54}{space 4}-.0268075{col 67}{space 3} .0064227
{txt}c_hc_bm_as~x {c |}{col 14}{res}{space 2}  .021685{col 26}{space 2} .0268763{col 37}{space 1}    0.81{col 46}{space 3}0.420{col 54}{space 4}-.0311844{col 67}{space 3} .0745543
{txt}c_info~c_hc2 {c |}{col 14}{res}{space 2} -.003134{col 26}{space 2}  .024657{col 37}{space 1}   -0.13{col 46}{space 3}0.899{col 54}{space 4}-.0516376{col 67}{space 3} .0453696
{txt}c_infomn_h.. {c |}{col 14}{res}{space 2} .0112796{col 26}{space 2} .0275476{col 37}{space 1}    0.41{col 46}{space 3}0.682{col 54}{space 4}-.0429103{col 67}{space 3} .0654694
{txt}c_infomn_h.. {c |}{col 14}{res}{space 2}-.0235586{col 26}{space 2} .0323948{col 37}{space 1}   -0.73{col 46}{space 3}0.468{col 54}{space 4}-.0872836{col 67}{space 3} .0401665
{txt}c_infomn_h.. {c |}{col 14}{res}{space 2} .0583217{col 26}{space 2}  .102812{col 37}{space 1}    0.57{col 46}{space 3}0.571{col 54}{space 4}-.1439234{col 67}{space 3} .2605669
{txt}c_infomn_h.. {c |}{col 14}{res}{space 2} .0083655{col 26}{space 2} .0104974{col 37}{space 1}    0.80{col 46}{space 3}0.426{col 54}{space 4}-.0122844{col 67}{space 3} .0290153
{txt}c_infomn_h.. {c |}{col 14}{res}{space 2}-.0260574{col 26}{space 2} .0316388{col 37}{space 1}   -0.82{col 46}{space 3}0.411{col 54}{space 4}-.0882952{col 67}{space 3} .0361805
{txt}c_into~c_hc2 {c |}{col 14}{res}{space 2}-.0180296{col 26}{space 2} .0292104{col 37}{space 1}   -0.62{col 46}{space 3}0.538{col 54}{space 4}-.0754905{col 67}{space 3} .0394313
{txt}c_intomn_h.. {c |}{col 14}{res}{space 2} .0346089{col 26}{space 2} .0304004{col 37}{space 1}    1.14{col 46}{space 3}0.256{col 54}{space 4}-.0251928{col 67}{space 3} .0944107
{txt}c_intomn_h.. {c |}{col 14}{res}{space 2} -.019815{col 26}{space 2} .0320145{col 37}{space 1}   -0.62{col 46}{space 3}0.536{col 54}{space 4}-.0827918{col 67}{space 3} .0431618
{txt}c_intomn_h.. {c |}{col 14}{res}{space 2} .0037143{col 26}{space 2} .1124842{col 37}{space 1}    0.03{col 46}{space 3}0.974{col 54}{space 4}-.2175574{col 67}{space 3}  .224986
{txt}c_intomn_h.. {c |}{col 14}{res}{space 2}-.0026234{col 26}{space 2} .0115773{col 37}{space 1}   -0.23{col 46}{space 3}0.821{col 54}{space 4}-.0253975{col 67}{space 3} .0201507
{txt}c_intomn_h.. {c |}{col 14}{res}{space 2}-.0238914{col 26}{space 2} .0352467{col 37}{space 1}   -0.68{col 46}{space 3}0.498{col 54}{space 4}-.0932265{col 67}{space 3} .0454437
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} .0538343{col 26}{space 2} .0073924{col 37}{space 1}    7.28{col 46}{space 3}0.000{col 54}{space 4} .0392924{col 67}{space 3} .0683763
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}infomn - intomn = 0{p_end}

{txt}       F(  1,   332) ={res}    1.23
{txt}{col 13}Prob > F ={res}    0.2686

{p 0 7}{space 1}{text:( 1)}{space 1}{space 1}{res}- fullomn + infomn = 0{p_end}

{txt}       F(  1,   332) ={res}    0.73
{txt}{col 13}Prob > F ={res}    0.3920

{p 0 7}{space 1}{text:( 1)}{space 1}{space 1}{res}- fullomn + intomn = 0{p_end}

{txt}       F(  1,   332) ={res}    0.06
{txt}{col 13}Prob > F ={res}    0.8121

{p 0 7}{space 1}{text:( 1)}{space 1} fullomn = 0{p_end}
{p 0 7}{space 1}{text:( 2)}{space 1} infomn = 0{p_end}
{p 0 7}{space 1}{text:( 3)}{space 1} intomn = 0{p_end}

{txt}       F(  3,   332) ={res}    1.88
{txt}{col 13}Prob > F ={res}    0.1333

{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}       376
{txt}{col 49}F({res}  28{txt},{res}    332{txt}){col 67}= {res}      1.29
{txt}{col 49}Prob > F{col 67}= {res}    0.1511
{txt}{col 49}R-squared{col 67}= {res}    0.1130
{txt}{col 49}Adj R-squared{col 67}= {res}   -0.0019
{txt}{col 49}Root MSE{col 67}= {res}    0.8258

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}m_h_ctzpre~z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 5}fullomn {c |}{col 14}{res}{space 2}-.1307525{col 26}{space 2} .1313298{col 37}{space 1}   -1.00{col 46}{space 3}0.320{col 54}{space 4} -.389096{col 67}{space 3} .1275909
{txt}{space 6}infomn {c |}{col 14}{res}{space 2} .0878005{col 26}{space 2} .1097866{col 37}{space 1}    0.80{col 46}{space 3}0.424{col 54}{space 4}-.1281646{col 67}{space 3} .3037657
{txt}{space 6}intomn {c |}{col 14}{res}{space 2}-.1081701{col 26}{space 2} .1279455{col 37}{space 1}   -0.85{col 46}{space 3}0.398{col 54}{space 4}-.3598562{col 67}{space 3}  .143516
{txt}bm_h_ctzpr~z {c |}{col 14}{res}{space 2}-.0664401{col 26}{space 2} .0705072{col 37}{space 1}   -0.94{col 46}{space 3}0.347{col 54}{space 4}-.2051373{col 67}{space 3}  .072257
{txt}c_full~c_hc2 {c |}{col 14}{res}{space 2}-.1311732{col 26}{space 2}  .283074{col 37}{space 1}   -0.46{col 46}{space 3}0.643{col 54}{space 4}-.6880181{col 67}{space 3} .4256716
{txt}c_fullomn_.. {c |}{col 14}{res}{space 2}-.1938139{col 26}{space 2} .4081056{col 37}{space 1}   -0.47{col 46}{space 3}0.635{col 54}{space 4}-.9966127{col 67}{space 3} .6089848
{txt}c_fullomn_.. {c |}{col 14}{res}{space 2}-.2056543{col 26}{space 2} .4074289{col 37}{space 1}   -0.50{col 46}{space 3}0.614{col 54}{space 4}-1.007122{col 67}{space 3} .5958134
{txt}c_fullomn_.. {c |}{col 14}{res}{space 2}-.7436403{col 26}{space 2} 1.460884{col 37}{space 1}   -0.51{col 46}{space 3}0.611{col 54}{space 4}-3.617397{col 67}{space 3} 2.130116
{txt}c_fullomn_.. {c |}{col 14}{res}{space 2}-.0711681{col 26}{space 2} .1443442{col 37}{space 1}   -0.49{col 46}{space 3}0.622{col 54}{space 4}-.3551127{col 67}{space 3} .2127764
{txt}c_fullomn_.. {c |}{col 14}{res}{space 2} .0803359{col 26}{space 2}   .44347{col 37}{space 1}    0.18{col 46}{space 3}0.856{col 54}{space 4}-.7920295{col 67}{space 3} .9527012
{txt}{space 4}c_hc_hc2 {c |}{col 14}{res}{space 2}-.0678603{col 26}{space 2} .1757319{col 37}{space 1}   -0.39{col 46}{space 3}0.700{col 54}{space 4}-.4135487{col 67}{space 3} .2778282
{txt}c_hc_b_h_del {c |}{col 14}{res}{space 2} .0958987{col 26}{space 2} .2850752{col 37}{space 1}    0.34{col 46}{space 3}0.737{col 54}{space 4}-.4648827{col 67}{space 3} .6566801
{txt}c_hc_b_h_s~s {c |}{col 14}{res}{space 2}-.0227823{col 26}{space 2} .3219355{col 37}{space 1}   -0.07{col 46}{space 3}0.944{col 54}{space 4} -.656073{col 67}{space 3} .6105083
{txt}c_hc_bm_vi~d {c |}{col 14}{res}{space 2} .4274165{col 26}{space 2} .9277491{col 37}{space 1}    0.46{col 46}{space 3}0.645{col 54}{space 4}-1.397591{col 67}{space 3} 2.252424
{txt}c_hc_bm_ed~r {c |}{col 14}{res}{space 2}-.0753993{col 26}{space 2} .0800329{col 37}{space 1}   -0.94{col 46}{space 3}0.347{col 54}{space 4}-.2328348{col 67}{space 3} .0820362
{txt}c_hc_bm_as~x {c |}{col 14}{res}{space 2} .2226093{col 26}{space 2} .2669571{col 37}{space 1}    0.83{col 46}{space 3}0.405{col 54}{space 4}-.3025313{col 67}{space 3} .7477499
{txt}c_info~c_hc2 {c |}{col 14}{res}{space 2}-.3376593{col 26}{space 2} .2456797{col 37}{space 1}   -1.37{col 46}{space 3}0.170{col 54}{space 4}-.8209444{col 67}{space 3} .1456258
{txt}c_infomn_h.. {c |}{col 14}{res}{space 2}-.4365189{col 26}{space 2} .3323639{col 37}{space 1}   -1.31{col 46}{space 3}0.190{col 54}{space 4}-1.090324{col 67}{space 3} .2172858
{txt}c_infomn_h.. {c |}{col 14}{res}{space 2} .1352085{col 26}{space 2} .3817304{col 37}{space 1}    0.35{col 46}{space 3}0.723{col 54}{space 4}-.6157068{col 67}{space 3} .8861238
{txt}c_infomn_h.. {c |}{col 14}{res}{space 2} .5666942{col 26}{space 2}  1.98719{col 37}{space 1}    0.29{col 46}{space 3}0.776{col 54}{space 4}-3.342376{col 67}{space 3} 4.475764
{txt}c_infomn_h.. {c |}{col 14}{res}{space 2} .0542753{col 26}{space 2} .0946843{col 37}{space 1}    0.57{col 46}{space 3}0.567{col 54}{space 4}-.1319816{col 67}{space 3} .2405321
{txt}c_infomn_h.. {c |}{col 14}{res}{space 2} .1493103{col 26}{space 2} .3474774{col 37}{space 1}    0.43{col 46}{space 3}0.668{col 54}{space 4}-.5342247{col 67}{space 3} .8328454
{txt}c_into~c_hc2 {c |}{col 14}{res}{space 2} .1846579{col 26}{space 2} .3413735{col 37}{space 1}    0.54{col 46}{space 3}0.589{col 54}{space 4}-.4868699{col 67}{space 3} .8561857
{txt}c_intomn_h.. {c |}{col 14}{res}{space 2} -.469013{col 26}{space 2} .3876135{col 37}{space 1}   -1.21{col 46}{space 3}0.227{col 54}{space 4}-1.231501{col 67}{space 3} .2934751
{txt}c_intomn_h.. {c |}{col 14}{res}{space 2} .1188585{col 26}{space 2} .3862314{col 37}{space 1}    0.31{col 46}{space 3}0.758{col 54}{space 4}-.6409109{col 67}{space 3} .8786278
{txt}c_intomn_h.. {c |}{col 14}{res}{space 2} 1.407804{col 26}{space 2} 1.723678{col 37}{space 1}    0.82{col 46}{space 3}0.415{col 54}{space 4}-1.982904{col 67}{space 3} 4.798512
{txt}c_intomn_h.. {c |}{col 14}{res}{space 2}  .141705{col 26}{space 2} .1292674{col 37}{space 1}    1.10{col 46}{space 3}0.274{col 54}{space 4}-.1125815{col 67}{space 3} .3959915
{txt}c_intomn_h.. {c |}{col 14}{res}{space 2} .0515839{col 26}{space 2} .3632595{col 37}{space 1}    0.14{col 46}{space 3}0.887{col 54}{space 4}-.6629967{col 67}{space 3} .7661645
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} .0020605{col 26}{space 2} .0892269{col 37}{space 1}    0.02{col 46}{space 3}0.982{col 54}{space 4}-.1734608{col 67}{space 3} .1775818
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}infomn - intomn = 0{p_end}

{txt}       F(  1,   332) ={res}    3.06
{txt}{col 13}Prob > F ={res}    0.0813

{p 0 7}{space 1}{text:( 1)}{space 1}{space 1}{res}- fullomn + infomn = 0{p_end}

{txt}       F(  1,   332) ={res}    3.58
{txt}{col 13}Prob > F ={res}    0.0594

{p 0 7}{space 1}{text:( 1)}{space 1}{space 1}{res}- fullomn + intomn = 0{p_end}

{txt}       F(  1,   332) ={res}    0.03
{txt}{col 13}Prob > F ={res}    0.8667

{p 0 7}{space 1}{text:( 1)}{space 1} fullomn = 0{p_end}
{p 0 7}{space 1}{text:( 2)}{space 1} infomn = 0{p_end}
{p 0 7}{space 1}{text:( 3)}{space 1} intomn = 0{p_end}

{txt}       F(  3,   332) ={res}    1.70
{txt}{col 13}Prob > F ={res}    0.1659
{txt}
{com}.                 
.         * Ctz pressure
.         
.         local y = 7
{txt}
{com}.         foreach x in `indices_hc_ols' {c -(}
{txt}  2{com}.                 areg  m_`x' fullomn infomn intomn bm_`x'  `fullomn_hc_int_m_controls' `m_controls_hc' `infomn_hc_int_m_controls' `intomn_hc_int_m_controls' if uniquehc == 1, robust a(district)
{txt}  3{com}.                 
.                 local n_1_`x' = string(`e(N)',"%9.0fc")
{txt}  4{com}.                 local r2_1_`x' = string(`e(r2)',"%9.3fc")
{txt}  5{com}.                 local est_1_`x' = string(_b[fullomn],"%9.3fc")
{txt}  6{com}.                 local se_1_`x' = string(_se[fullomn],"%9.3fc")
{txt}  7{com}.                 local p_1_`x' = (2 * ttail(e(df_r), abs(_b[fullomn]/_se[fullomn])))
{txt}  8{com}.                 
.                 gen s_1_1s_`x' = (`p_1_`x''<=0.1 & `p_1_`x''>0.05)
{txt}  9{com}.                 gen s_1_2s_`x' = (`p_1_`x''<=0.05 & `p_1_`x''>0.01)
{txt} 10{com}.                 gen s_1_3s_`x' = (`p_1_`x''<=0.01 & `p_1_`x''>=0)
{txt} 11{com}.         
.                 if s_1_1s_`x' == 1 {c -(}
{txt} 12{com}.                                 local est_1_`x' = "`est_1_`x''*"
{txt} 13{com}.                                 {c )-}
{txt} 14{com}.                                 
.                 if s_1_2s_`x' == 1 {c -(}
{txt} 15{com}.                                 local est_1_`x' = "`est_1_`x''**"
{txt} 16{com}.                                 {c )-}
{txt} 17{com}.                                 
.                 if s_1_3s_`x' == 1 {c -(}
{txt} 18{com}.                                 local est_1_`x' = "`est_1_`x''***"
{txt} 19{com}.                                 {c )-}
{txt} 20{com}.                 
.                 local est_2_`x' = string(_b[infomn],"%9.3fc")
{txt} 21{com}.                 local se_2_`x' = string(_se[infomn],"%9.3fc")
{txt} 22{com}.                 local p_2_`x' = (2 * ttail(e(df_r), abs(_b[infomn]/_se[infomn])))
{txt} 23{com}.                 
.                 gen s_2_1s_`x' = (`p_2_`x''<=0.1 & `p_2_`x''>0.05)
{txt} 24{com}.                 gen s_2_2s_`x' = (`p_2_`x''<=0.05 & `p_2_`x''>0.01)
{txt} 25{com}.                 gen s_2_3s_`x' = (`p_2_`x''<=0.01 & `p_2_`x''>=0)
{txt} 26{com}.         
.                 if s_2_1s_`x' == 1 {c -(}
{txt} 27{com}.                                 local est_2_`x' = "`est_2_`x''*"
{txt} 28{com}.                                 {c )-}
{txt} 29{com}.                                 
.                 if s_2_2s_`x' == 1 {c -(}
{txt} 30{com}.                                 local est_2_`x' = "`est_2_`x''**"
{txt} 31{com}.                                 {c )-}
{txt} 32{com}.                                 
.                 if s_2_3s_`x' == 1 {c -(}
{txt} 33{com}.                                 local est_2_`x' = "`est_2_`x''***"
{txt} 34{com}.                                 {c )-}
{txt} 35{com}.                 
.                 local e_3_`x' = string(_b[intomn],"%9.3fc")
{txt} 36{com}.                 local se_3_`x' = string(_se[intomn],"%9.3fc")
{txt} 37{com}.                 local p_3_`x' = (2 * ttail(e(df_r), abs(_b[intomn]/_se[intomn])))
{txt} 38{com}.                 
.                 gen s_3_1s_`x' = (`p_3_`x''<=0.1 & `p_3_`x''>0.05)
{txt} 39{com}.                 gen s_3_2s_`x' = (`p_3_`x''<=0.05 & `p_3_`x''>0.01)
{txt} 40{com}.                 gen s_3_3s_`x' = (`p_3_`x''<=0.01 & `p_3_`x''>=0)
{txt} 41{com}.         
.                 if s_3_1s_`x' == 1 {c -(}
{txt} 42{com}.                                 local e_3_`x' = "`e_3_`x''*"
{txt} 43{com}.                                 {c )-}
{txt} 44{com}.                                 
.                 if s_3_2s_`x' == 1 {c -(}
{txt} 45{com}.                                 local e_3_`x' = "`e_3_`x''**"
{txt} 46{com}.                                 {c )-}
{txt} 47{com}.                                 
.                 if s_3_3s_`x' == 1 {c -(}
{txt} 48{com}.                                 local e_3_`x' = "`e_3_`x''***"
{txt} 49{com}.                                 {c )-}
{txt} 50{com}.                                 
.                 local est_4_`x' = string(_b[_cons],"%9.3fc")
{txt} 51{com}.                 local se_4_`x' = string(_se[_cons],"%9.3fc")
{txt} 52{com}.                 local p_4_`x' = (2 * ttail(e(df_r), abs(_b[_cons]/_se[_cons])))
{txt} 53{com}.                 
.                 gen s_4_1s_`x' = (`p_4_`x''<=0.1 & `p_4_`x''>0.05)
{txt} 54{com}.                 gen s_4_2s_`x' = (`p_4_`x''<=0.05 & `p_4_`x''>0.01)
{txt} 55{com}.                 gen s_4_3s_`x' = (`p_4_`x''<=0.01 & `p_4_`x''>=0)
{txt} 56{com}.         
.                 if s_4_1s_`x' == 1 {c -(}
{txt} 57{com}.                                 local est_4_`x' = "`est_4_`x''*"
{txt} 58{com}.                                 {c )-}
{txt} 59{com}.                                 
.                 if s_4_2s_`x' == 1 {c -(}
{txt} 60{com}.                                 local est_4_`x' = "`est_4_`x''**"
{txt} 61{com}.                                 {c )-}
{txt} 62{com}.                                 
.                 if s_4_3s_`x' == 1 {c -(}
{txt} 63{com}.                                 local est_4_`x' = "`est_4_`x''***"
{txt} 64{com}.                                 {c )-}
{txt} 65{com}.         
.                 
.                 test infomn = intomn
{txt} 66{com}.                 local f_wald_`x' = string(r(p),"%9.3fc")
{txt} 67{com}.                 
.                 test infomn = fullomn
{txt} 68{com}.                 local f_wald1_`x' = string(r(p),"%9.3fc")
{txt} 69{com}.                 
.                 test intomn = fullomn
{txt} 70{com}.                 local f_wald2_`x' = string(r(p),"%9.3fc")
{txt} 71{com}.                 
.                 test fullomn infomn intomn
{txt} 72{com}.                 local f_3_`x' = string(`r(F)',"%9.3fc")
{txt} 73{com}.                 local f_wald3_`x' = string(`r(p)',"%9.3fc")
{txt} 74{com}. 
.                 drop s_*
{txt} 75{com}.                 
.                 {c )-}
{res}
{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}       376
{txt}{col 49}F({res}  28{txt},{res}    332{txt}){col 67}= {res}      1.29
{txt}{col 49}Prob > F{col 67}= {res}    0.1511
{txt}{col 49}R-squared{col 67}= {res}    0.1130
{txt}{col 49}Adj R-squared{col 67}= {res}   -0.0019
{txt}{col 49}Root MSE{col 67}= {res}    0.8258

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}m_h_ctzpre~z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 5}fullomn {c |}{col 14}{res}{space 2}-.1307525{col 26}{space 2} .1313298{col 37}{space 1}   -1.00{col 46}{space 3}0.320{col 54}{space 4} -.389096{col 67}{space 3} .1275909
{txt}{space 6}infomn {c |}{col 14}{res}{space 2} .0878005{col 26}{space 2} .1097866{col 37}{space 1}    0.80{col 46}{space 3}0.424{col 54}{space 4}-.1281646{col 67}{space 3} .3037657
{txt}{space 6}intomn {c |}{col 14}{res}{space 2}-.1081701{col 26}{space 2} .1279455{col 37}{space 1}   -0.85{col 46}{space 3}0.398{col 54}{space 4}-.3598562{col 67}{space 3}  .143516
{txt}bm_h_ctzpr~z {c |}{col 14}{res}{space 2}-.0664401{col 26}{space 2} .0705072{col 37}{space 1}   -0.94{col 46}{space 3}0.347{col 54}{space 4}-.2051373{col 67}{space 3}  .072257
{txt}c_full~c_hc2 {c |}{col 14}{res}{space 2}-.1311732{col 26}{space 2}  .283074{col 37}{space 1}   -0.46{col 46}{space 3}0.643{col 54}{space 4}-.6880181{col 67}{space 3} .4256716
{txt}c_fullomn_.. {c |}{col 14}{res}{space 2}-.1938139{col 26}{space 2} .4081056{col 37}{space 1}   -0.47{col 46}{space 3}0.635{col 54}{space 4}-.9966127{col 67}{space 3} .6089848
{txt}c_fullomn_.. {c |}{col 14}{res}{space 2}-.2056543{col 26}{space 2} .4074289{col 37}{space 1}   -0.50{col 46}{space 3}0.614{col 54}{space 4}-1.007122{col 67}{space 3} .5958134
{txt}c_fullomn_.. {c |}{col 14}{res}{space 2}-.7436403{col 26}{space 2} 1.460884{col 37}{space 1}   -0.51{col 46}{space 3}0.611{col 54}{space 4}-3.617397{col 67}{space 3} 2.130116
{txt}c_fullomn_.. {c |}{col 14}{res}{space 2}-.0711681{col 26}{space 2} .1443442{col 37}{space 1}   -0.49{col 46}{space 3}0.622{col 54}{space 4}-.3551127{col 67}{space 3} .2127764
{txt}c_fullomn_.. {c |}{col 14}{res}{space 2} .0803359{col 26}{space 2}   .44347{col 37}{space 1}    0.18{col 46}{space 3}0.856{col 54}{space 4}-.7920295{col 67}{space 3} .9527012
{txt}{space 4}c_hc_hc2 {c |}{col 14}{res}{space 2}-.0678603{col 26}{space 2} .1757319{col 37}{space 1}   -0.39{col 46}{space 3}0.700{col 54}{space 4}-.4135487{col 67}{space 3} .2778282
{txt}c_hc_b_h_del {c |}{col 14}{res}{space 2} .0958987{col 26}{space 2} .2850752{col 37}{space 1}    0.34{col 46}{space 3}0.737{col 54}{space 4}-.4648827{col 67}{space 3} .6566801
{txt}c_hc_b_h_s~s {c |}{col 14}{res}{space 2}-.0227823{col 26}{space 2} .3219355{col 37}{space 1}   -0.07{col 46}{space 3}0.944{col 54}{space 4} -.656073{col 67}{space 3} .6105083
{txt}c_hc_bm_vi~d {c |}{col 14}{res}{space 2} .4274165{col 26}{space 2} .9277491{col 37}{space 1}    0.46{col 46}{space 3}0.645{col 54}{space 4}-1.397591{col 67}{space 3} 2.252424
{txt}c_hc_bm_ed~r {c |}{col 14}{res}{space 2}-.0753993{col 26}{space 2} .0800329{col 37}{space 1}   -0.94{col 46}{space 3}0.347{col 54}{space 4}-.2328348{col 67}{space 3} .0820362
{txt}c_hc_bm_as~x {c |}{col 14}{res}{space 2} .2226093{col 26}{space 2} .2669571{col 37}{space 1}    0.83{col 46}{space 3}0.405{col 54}{space 4}-.3025313{col 67}{space 3} .7477499
{txt}c_info~c_hc2 {c |}{col 14}{res}{space 2}-.3376593{col 26}{space 2} .2456797{col 37}{space 1}   -1.37{col 46}{space 3}0.170{col 54}{space 4}-.8209444{col 67}{space 3} .1456258
{txt}c_infomn_h.. {c |}{col 14}{res}{space 2}-.4365189{col 26}{space 2} .3323639{col 37}{space 1}   -1.31{col 46}{space 3}0.190{col 54}{space 4}-1.090324{col 67}{space 3} .2172858
{txt}c_infomn_h.. {c |}{col 14}{res}{space 2} .1352085{col 26}{space 2} .3817304{col 37}{space 1}    0.35{col 46}{space 3}0.723{col 54}{space 4}-.6157068{col 67}{space 3} .8861238
{txt}c_infomn_h.. {c |}{col 14}{res}{space 2} .5666942{col 26}{space 2}  1.98719{col 37}{space 1}    0.29{col 46}{space 3}0.776{col 54}{space 4}-3.342376{col 67}{space 3} 4.475764
{txt}c_infomn_h.. {c |}{col 14}{res}{space 2} .0542753{col 26}{space 2} .0946843{col 37}{space 1}    0.57{col 46}{space 3}0.567{col 54}{space 4}-.1319816{col 67}{space 3} .2405321
{txt}c_infomn_h.. {c |}{col 14}{res}{space 2} .1493103{col 26}{space 2} .3474774{col 37}{space 1}    0.43{col 46}{space 3}0.668{col 54}{space 4}-.5342247{col 67}{space 3} .8328454
{txt}c_into~c_hc2 {c |}{col 14}{res}{space 2} .1846579{col 26}{space 2} .3413735{col 37}{space 1}    0.54{col 46}{space 3}0.589{col 54}{space 4}-.4868699{col 67}{space 3} .8561857
{txt}c_intomn_h.. {c |}{col 14}{res}{space 2} -.469013{col 26}{space 2} .3876135{col 37}{space 1}   -1.21{col 46}{space 3}0.227{col 54}{space 4}-1.231501{col 67}{space 3} .2934751
{txt}c_intomn_h.. {c |}{col 14}{res}{space 2} .1188585{col 26}{space 2} .3862314{col 37}{space 1}    0.31{col 46}{space 3}0.758{col 54}{space 4}-.6409109{col 67}{space 3} .8786278
{txt}c_intomn_h.. {c |}{col 14}{res}{space 2} 1.407804{col 26}{space 2} 1.723678{col 37}{space 1}    0.82{col 46}{space 3}0.415{col 54}{space 4}-1.982904{col 67}{space 3} 4.798512
{txt}c_intomn_h.. {c |}{col 14}{res}{space 2}  .141705{col 26}{space 2} .1292674{col 37}{space 1}    1.10{col 46}{space 3}0.274{col 54}{space 4}-.1125815{col 67}{space 3} .3959915
{txt}c_intomn_h.. {c |}{col 14}{res}{space 2} .0515839{col 26}{space 2} .3632595{col 37}{space 1}    0.14{col 46}{space 3}0.887{col 54}{space 4}-.6629967{col 67}{space 3} .7661645
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} .0020605{col 26}{space 2} .0892269{col 37}{space 1}    0.02{col 46}{space 3}0.982{col 54}{space 4}-.1734608{col 67}{space 3} .1775818
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}infomn - intomn = 0{p_end}

{txt}       F(  1,   332) ={res}    3.06
{txt}{col 13}Prob > F ={res}    0.0813

{p 0 7}{space 1}{text:( 1)}{space 1}{space 1}{res}- fullomn + infomn = 0{p_end}

{txt}       F(  1,   332) ={res}    3.58
{txt}{col 13}Prob > F ={res}    0.0594

{p 0 7}{space 1}{text:( 1)}{space 1}{space 1}{res}- fullomn + intomn = 0{p_end}

{txt}       F(  1,   332) ={res}    0.03
{txt}{col 13}Prob > F ={res}    0.8667

{p 0 7}{space 1}{text:( 1)}{space 1} fullomn = 0{p_end}
{p 0 7}{space 1}{text:( 2)}{space 1} infomn = 0{p_end}
{p 0 7}{space 1}{text:( 3)}{space 1} intomn = 0{p_end}

{txt}       F(  3,   332) ={res}    1.70
{txt}{col 13}Prob > F ={res}    0.1659
{txt}
{com}.                 
.         * Health outcomes
.         
.         use "${c -(}usedata{c )-}/healthoutcome_midline_ind.dta", clear 
{txt}
{com}.         
.         local x healthout_z
{txt}
{com}.         
.         areg  m_healthoutcome_z fullomn infomn intomn b_healthoutcome_z b_healthoutcome_z_d  `fullomn_int_m_controls' `m_controls' `infomn_int_m_controls' `intomn_int_m_controls', robust cl(hc_id) a(district)

{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}    10,787
{txt}{col 49}F({res}  29{txt},{res}    375{txt}){col 67}= {res}     27.88
{txt}{col 49}Prob > F{col 67}= {res}    0.0000
{txt}{col 49}R-squared{col 67}= {res}    0.0935
{txt}{col 49}Adj R-squared{col 67}= {res}    0.0898
{txt}{col 49}Root MSE{col 67}= {res}    0.9397

{txt}{ralign 78:(Std. Err. adjusted for {res:376} clusters in hc_id)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}m_healthou~z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 5}fullomn {c |}{col 14}{res}{space 2} .0254031{col 26}{space 2} .0281922{col 37}{space 1}    0.90{col 46}{space 3}0.368{col 54}{space 4}-.0300315{col 67}{space 3} .0808377
{txt}{space 6}infomn {c |}{col 14}{res}{space 2}-.0151675{col 26}{space 2} .0286148{col 37}{space 1}   -0.53{col 46}{space 3}0.596{col 54}{space 4} -.071433{col 67}{space 3} .0410981
{txt}{space 6}intomn {c |}{col 14}{res}{space 2} .0095572{col 26}{space 2} .0294625{col 37}{space 1}    0.32{col 46}{space 3}0.746{col 54}{space 4}-.0483752{col 67}{space 3} .0674897
{txt}b_healthou~z {c |}{col 14}{res}{space 2}  .253847{col 26}{space 2} .0126319{col 37}{space 1}   20.10{col 46}{space 3}0.000{col 54}{space 4} .2290089{col 67}{space 3} .2786852
{txt}b_healthou~d {c |}{col 14}{res}{space 2} .3016474{col 26}{space 2} .0194649{col 37}{space 1}   15.50{col 46}{space 3}0.000{col 54}{space 4} .2633733{col 67}{space 3} .3399215
{txt}c_fullomn_~2 {c |}{col 14}{res}{space 2} .0561793{col 26}{space 2} .0658024{col 37}{space 1}    0.85{col 46}{space 3}0.394{col 54}{space 4}-.0732087{col 67}{space 3} .1855673
{txt}c_fullomn_~l {c |}{col 14}{res}{space 2}-.0677981{col 26}{space 2} .0746077{col 37}{space 1}   -0.91{col 46}{space 3}0.364{col 54}{space 4}   -.2145{col 67}{space 3} .0789038
{txt}c_fullomn_~s {c |}{col 14}{res}{space 2} .1122581{col 26}{space 2} .0805533{col 37}{space 1}    1.39{col 46}{space 3}0.164{col 54}{space 4}-.0461347{col 67}{space 3} .2706509
{txt}c_fullomn_~d {c |}{col 14}{res}{space 2}-.1331898{col 26}{space 2} .1126942{col 37}{space 1}   -1.18{col 46}{space 3}0.238{col 54}{space 4}-.3547815{col 67}{space 3} .0884019
{txt}c_fullomn_~r {c |}{col 14}{res}{space 2} .0085678{col 26}{space 2} .0068766{col 37}{space 1}    1.25{col 46}{space 3}0.214{col 54}{space 4}-.0049536{col 67}{space 3} .0220893
{txt}c_fullomn_~x {c |}{col 14}{res}{space 2}-.0297156{col 26}{space 2} .0273713{col 37}{space 1}   -1.09{col 46}{space 3}0.278{col 54}{space 4} -.083536{col 67}{space 3} .0241048
{txt}{space 7}c_hc2 {c |}{col 14}{res}{space 2}-.0153303{col 26}{space 2}  .045512{col 37}{space 1}   -0.34{col 46}{space 3}0.736{col 54}{space 4}-.1048211{col 67}{space 3} .0741605
{txt}{space 3}c_b_h_del {c |}{col 14}{res}{space 2} .0569236{col 26}{space 2} .0590787{col 37}{space 1}    0.96{col 46}{space 3}0.336{col 54}{space 4}-.0592434{col 67}{space 3} .1730906
{txt}c_b_h_staf~s {c |}{col 14}{res}{space 2}-.1049225{col 26}{space 2} .0653967{col 37}{space 1}   -1.60{col 46}{space 3}0.109{col 54}{space 4}-.2335126{col 67}{space 3} .0236676
{txt}c_bm_visit~d {c |}{col 14}{res}{space 2} .1385164{col 26}{space 2} .0751631{col 37}{space 1}    1.84{col 46}{space 3}0.066{col 54}{space 4}-.0092776{col 67}{space 3} .2863104
{txt}{space 1}c_bm_educyr {c |}{col 14}{res}{space 2}-.0036375{col 26}{space 2} .0052407{col 37}{space 1}   -0.69{col 46}{space 3}0.488{col 54}{space 4}-.0139424{col 67}{space 3} .0066673
{txt}c_bm_asset~x {c |}{col 14}{res}{space 2} .0346716{col 26}{space 2} .0188024{col 37}{space 1}    1.84{col 46}{space 3}0.066{col 54}{space 4}-.0022998{col 67}{space 3}  .071643
{txt}c_infomn_hc2 {c |}{col 14}{res}{space 2}-.0597531{col 26}{space 2} .0755915{col 37}{space 1}   -0.79{col 46}{space 3}0.430{col 54}{space 4}-.2083895{col 67}{space 3} .0888832
{txt}c_infomn_b~l {c |}{col 14}{res}{space 2}-.1243279{col 26}{space 2} .0861134{col 37}{space 1}   -1.44{col 46}{space 3}0.150{col 54}{space 4}-.2936535{col 67}{space 3} .0449978
{txt}c_infomn_b~s {c |}{col 14}{res}{space 2}  .095607{col 26}{space 2} .0796068{col 37}{space 1}    1.20{col 46}{space 3}0.231{col 54}{space 4}-.0609245{col 67}{space 3} .2521386
{txt}c_infomn_b~d {c |}{col 14}{res}{space 2}-.0640733{col 26}{space 2} .1056269{col 37}{space 1}   -0.61{col 46}{space 3}0.544{col 54}{space 4}-.2717686{col 67}{space 3}  .143622
{txt}c_infomn_b~r {c |}{col 14}{res}{space 2}  .010553{col 26}{space 2} .0069852{col 37}{space 1}    1.51{col 46}{space 3}0.132{col 54}{space 4}-.0031821{col 67}{space 3} .0242881
{txt}c_infomn_b~x {c |}{col 14}{res}{space 2}-.0273197{col 26}{space 2}  .027159{col 37}{space 1}   -1.01{col 46}{space 3}0.315{col 54}{space 4}-.0807227{col 67}{space 3} .0260833
{txt}c_intomn_hc2 {c |}{col 14}{res}{space 2} .0991012{col 26}{space 2}  .068104{col 37}{space 1}    1.46{col 46}{space 3}0.146{col 54}{space 4}-.0348123{col 67}{space 3} .2330148
{txt}c_intomn_b~l {c |}{col 14}{res}{space 2}-.0381398{col 26}{space 2}  .082383{col 37}{space 1}   -0.46{col 46}{space 3}0.644{col 54}{space 4}-.2001304{col 67}{space 3} .1238508
{txt}c_intomn_b~s {c |}{col 14}{res}{space 2} .1247525{col 26}{space 2} .0839662{col 37}{space 1}    1.49{col 46}{space 3}0.138{col 54}{space 4}-.0403511{col 67}{space 3}  .289856
{txt}c_intomn_b~d {c |}{col 14}{res}{space 2} .1882557{col 26}{space 2} .1061024{col 37}{space 1}    1.77{col 46}{space 3}0.077{col 54}{space 4}-.0203746{col 67}{space 3}  .396886
{txt}c_intomn_b~r {c |}{col 14}{res}{space 2} .0082515{col 26}{space 2}  .007377{col 37}{space 1}    1.12{col 46}{space 3}0.264{col 54}{space 4} -.006254{col 67}{space 3} .0227571
{txt}c_intomn_b~x {c |}{col 14}{res}{space 2} .0456746{col 26}{space 2} .0310277{col 37}{space 1}    1.47{col 46}{space 3}0.142{col 54}{space 4}-.0153355{col 67}{space 3} .1066848
{txt}{space 7}_cons {c |}{col 14}{res}{space 2}-.1470967{col 26}{space 2} .0216653{col 37}{space 1}   -6.79{col 46}{space 3}0.000{col 54}{space 4}-.1896975{col 67}{space 3} -.104496
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{com}.         
.                 local n_1_`x' = string(`e(N)',"%9.0fc")
{txt}
{com}.                 local r2_1_`x' = string(`e(r2)',"%9.3fc")
{txt}
{com}.                 local est_1_`x' = string(_b[fullomn],"%9.3fc")
{txt}
{com}.                 local se_1_`x' = string(_se[fullomn],"%9.3fc")
{txt}
{com}.                 local p_1_`x' = (2 * ttail(e(df_r), abs(_b[fullomn]/_se[fullomn])))
{txt}
{com}.                 
.                 gen s_1_1s_`x' = (`p_1_`x''<=0.1 & `p_1_`x''>0.05)
{txt}
{com}.                 gen s_1_2s_`x' = (`p_1_`x''<=0.05 & `p_1_`x''>0.01)
{txt}
{com}.                 gen s_1_3s_`x' = (`p_1_`x''<=0.01 & `p_1_`x''>=0)
{txt}
{com}.         
.                 if s_1_1s_`x' == 1 {c -(}
.                                 local est_1_`x' = "`est_1_`x''*"
.                                 {c )-}
{txt}
{com}.                                 
.                 if s_1_2s_`x' == 1 {c -(}
.                                 local est_1_`x' = "`est_1_`x''**"
.                                 {c )-}
{txt}
{com}.                                 
.                 if s_1_3s_`x' == 1 {c -(}
.                                 local est_1_`x' = "`est_1_`x''***"
.                                 {c )-}
{txt}
{com}.                 
.                 local est_2_`x' = string(_b[infomn],"%9.3fc")
{txt}
{com}.                 local se_2_`x' = string(_se[infomn],"%9.3fc")
{txt}
{com}.                 local p_2_`x' = (2 * ttail(e(df_r), abs(_b[infomn]/_se[infomn])))
{txt}
{com}.                 
.                 gen s_2_1s_`x' = (`p_2_`x''<=0.1 & `p_2_`x''>0.05)
{txt}
{com}.                 gen s_2_2s_`x' = (`p_2_`x''<=0.05 & `p_2_`x''>0.01)
{txt}
{com}.                 gen s_2_3s_`x' = (`p_2_`x''<=0.01 & `p_2_`x''>=0)
{txt}
{com}.         
.                 if s_2_1s_`x' == 1 {c -(}
.                                 local est_2_`x' = "`est_2_`x''*"
.                                 {c )-}
{txt}
{com}.                                 
.                 if s_2_2s_`x' == 1 {c -(}
.                                 local est_2_`x' = "`est_2_`x''**"
.                                 {c )-}
{txt}
{com}.                                 
.                 if s_2_3s_`x' == 1 {c -(}
.                                 local est_2_`x' = "`est_2_`x''***"
.                                 {c )-}
{txt}
{com}.                 
.                 local e_3_`x' = string(_b[intomn],"%9.3fc")
{txt}
{com}.                 local se_3_`x' = string(_se[intomn],"%9.3fc")
{txt}
{com}.                 local p_3_`x' = (2 * ttail(e(df_r), abs(_b[intomn]/_se[intomn])))
{txt}
{com}.                 
.                 gen s_3_1s_`x' = (`p_3_`x''<=0.1 & `p_3_`x''>0.05)
{txt}
{com}.                 gen s_3_2s_`x' = (`p_3_`x''<=0.05 & `p_3_`x''>0.01)
{txt}
{com}.                 gen s_3_3s_`x' = (`p_3_`x''<=0.01 & `p_3_`x''>=0)
{txt}
{com}.         
.                 if s_3_1s_`x' == 1 {c -(}
.                                 local e_3_`x' = "`e_3_`x''*"
.                                 {c )-}
{txt}
{com}.                                 
.                 if s_3_2s_`x' == 1 {c -(}
.                                 local e_3_`x' = "`e_3_`x''**"
.                                 {c )-}
{txt}
{com}.                                 
.                 if s_3_3s_`x' == 1 {c -(}
.                                 local e_3_`x' = "`e_3_`x''***"
.                                 {c )-}
{txt}
{com}.                                 
.                 local est_4_`x' = string(_b[_cons],"%9.3fc")
{txt}
{com}.                 local se_4_`x' = string(_se[_cons],"%9.3fc")
{txt}
{com}.                 local p_4_`x' = (2 * ttail(e(df_r), abs(_b[_cons]/_se[_cons])))
{txt}
{com}.                 
.                 gen s_4_1s_`x' = (`p_4_`x''<=0.1 & `p_4_`x''>0.05)
{txt}
{com}.                 gen s_4_2s_`x' = (`p_4_`x''<=0.05 & `p_4_`x''>0.01)
{txt}
{com}.                 gen s_4_3s_`x' = (`p_4_`x''<=0.01 & `p_4_`x''>=0)
{txt}
{com}.         
.                 if s_4_1s_`x' == 1 {c -(}
.                                 local est_4_`x' = "`est_4_`x''*"
.                                 {c )-}
{txt}
{com}.                                 
.                 if s_4_2s_`x' == 1 {c -(}
.                                 local est_4_`x' = "`est_4_`x''**"
.                                 {c )-}
{txt}
{com}.                                 
.                 if s_4_3s_`x' == 1 {c -(}
.                                 local est_4_`x' = "`est_4_`x''***"
.                                 {c )-}
{txt}
{com}.         
.                 
.                 test infomn = intomn

{p 0 7}{space 1}{text:( 1)}{space 1} {res}infomn - intomn = 0{p_end}

{txt}       F(  1,   375) ={res}    0.69
{txt}{col 13}Prob > F ={res}    0.4077
{txt}
{com}.                 local f_wald_`x' = string(r(p),"%9.3fc")
{txt}
{com}.                 
.                 test infomn = fullomn

{p 0 7}{space 1}{text:( 1)}{space 1}{space 1}{res}- fullomn + infomn = 0{p_end}

{txt}       F(  1,   375) ={res}    2.04
{txt}{col 13}Prob > F ={res}    0.1539
{txt}
{com}.                 local f_wald1_`x' = string(r(p),"%9.3fc")
{txt}
{com}.                 
.                 test intomn = fullomn

{p 0 7}{space 1}{text:( 1)}{space 1}{space 1}{res}- fullomn + intomn = 0{p_end}

{txt}       F(  1,   375) ={res}    0.30
{txt}{col 13}Prob > F ={res}    0.5862
{txt}
{com}.                 local f_wald2_`x' = string(r(p),"%9.3fc")
{txt}
{com}.                 
.                 test fullomn infomn intomn

{p 0 7}{space 1}{text:( 1)}{space 1} {res}fullomn = 0{p_end}
{p 0 7}{space 1}{text:( 2)}{space 1} infomn = 0{p_end}
{p 0 7}{space 1}{text:( 3)}{space 1} intomn = 0{p_end}

{txt}       F(  3,   375) ={res}    0.71
{txt}{col 13}Prob > F ={res}    0.5443
{txt}
{com}.                 local f_3_`x' = string(`r(F)',"%9.3fc")
{txt}
{com}.                 local f_wald3_`x' = string(`r(p)',"%9.3fc")
{txt}
{com}. 
.                 drop s_*
{txt}
{com}.                 
.         * We create the tables concerning the results of the main indices with hc level
.         
.         texdoc init "${c -(}tables{c )-}/TableI54.tex", replace force
{res}{txt}(texdoc output file is /Users/fredericcochinard/Dropbox/ACT_Health_JOP_replication_file/3.Tables and Figures/Tables/TableI54.tex)
{res}{txt}
{com}.         tex \begin{c -(}table{c )-}[htbp]\centering
{res}{txt}
{com}.         tex \footnotesize
{res}{txt}
{com}.         tex \def\sym#1{c -(}\ifmmode^{c -(}#1{c )-}\else\(^{c -(}#1{c )-}\)\fi{c )-}
{res}{txt}
{com}.         tex \caption{c -(}Main outcomes (Midline) - All treatments{c )-}
{res}{txt}
{com}.         tex \begin{c -(}tabular{c )-}{c -(}lgggggggg{c )-}
{res}{txt}
{com}.         tex \toprule
{res}{txt}
{com}.         tex                                                                               & (1)                       & (2)                                                          & (3)                                                             & (4)                                                        & (5)  & (6)  & (7)                       \\
{res}{txt}
{com}.     tex \multirow{c -(}-2{c )-}{c -(}*{c )-}{c -(}{c )-}               & \textbf{c -(}\begin{c -(}tabular{c )-}[c]{c -(}@{c -(}{c )-}c@{c -(}{c )-}{c )-}Citizen \\ monitoring\end{c -(}tabular{c )-}{c )-} & \textbf{c -(}\begin{c -(}tabular{c )-}[c]{c -(}@{c -(}{c )-}c@{c -(}{c )-}{c )-}Perceived \\ citizen \\ pressure \end{c -(}tabular{c )-}{c )-}             & \textbf{c -(}Utilization{c )-}      & \textbf{c -(}\begin{c -(}tabular{c )-}[c]{c -(}@{c -(}{c )-}c@{c -(}{c )-}{c )-}Treatment \\ quality\end{c -(}tabular{c )-}{c )-} & \textbf{c -(}\begin{c -(}tabular{c )-}[c]{c -(}@{c -(}{c )-}c@{c -(}{c )-}{c )-}Patient \\ satisfaction\end{c -(}tabular{c )-}{c )-} & \textbf{c -(}\begin{c -(}tabular{c )-}[c]{c -(}@{c -(}{c )-}c@{c -(}{c )-}{c )-}Health \\ outcomes\end{c -(}tabular{c )-}{c )-} & \textbf{c -(}\begin{c -(}tabular{c )-}[c]{c -(}@{c -(}{c )-}c@{c -(}{c )-}{c )-}Child \\ mortality\end{c -(}tabular{c )-}{c )-}        \\
{res}{txt}
{com}.         tex \midrule
{res}{txt}
{com}.         tex \multirow{c -(}2{c )-}{c -(}*{c )-}{c -(}Full treatment{c )-}  & `est_1_commtg_z' & `est_1_h_ctzpressure_z' & `est_1_urate_z'           & `est_1_treatqual_z'                                                            & `est_1_patsat_z'                                                               & `est_1_healthout_z'                                                          & `est_1_mortrate_05'         \\
{res}{txt}
{com}.         tex  & (`se_1_commtg_z') & (`se_1_h_ctzpressure_z') & (`se_1_urate_z')           & (`se_1_treatqual_z')                                                            & (`se_1_patsat_z')                                                               & (`se_1_healthout_z')                                                          & (`se_1_mortrate_05')         \\
{res}{txt}
{com}.         tex \multirow{c -(}2{c )-}{c -(}*{c )-}{c -(}Information only{c )-}  & `est_2_commtg_z' & `est_2_h_ctzpressure_z' & `est_2_urate_z'           & `est_2_treatqual_z'                                                            & `est_2_patsat_z'                                                               & `est_2_healthout_z'                                                          & `est_2_mortrate_05'         \\
{res}{txt}
{com}.         tex  & (`se_2_commtg_z') & (`se_2_h_ctzpressure_z')  & (`se_2_urate_z')           & (`se_2_treatqual_z')                                                            & (`se_2_patsat_z')                                                               & (`se_2_healthout_z')                                                          & (`se_2_mortrate_05')         \\
{res}{txt}
{com}.         tex \multirow{c -(}2{c )-}{c -(}*{c )-}{c -(}Interface only{c )-}  & `e_3_commtg_z' & `e_3_h_ctzpressure_z' & `e_3_urate_z'           & `e_3_treatqual_z'                                                            & `e_3_patsat_z'                                                               & `e_3_healthout_z'                                                          & `e_3_mortrate_05'         \\
{res}{txt}
{com}.         tex  & (`se_3_commtg_z') & (`se_3_h_ctzpressure_z')  & (`se_3_urate_z')           & (`se_3_treatqual_z')                                                            & (`se_3_patsat_z')                                                               & (`se_3_healthout_z')                                                         & (`se_3_mortrate_05')         \\
{res}{txt}
{com}.         tex \multirow{c -(}2{c )-}{c -(}*{c )-}{c -(}Constant{c )-}  & `est_4_commtg_z' & `est_4_h_ctzpressure_z' & `est_4_urate_z'           & `est_4_treatqual_z'                                                            & `est_4_patsat_z'                                                               & `est_4_healthout_z'                                                          & `est_4_mortrate_05'         \\
{res}{txt}
{com}.         tex  & (`se_4_commtg_z') & (`se_4_h_ctzpressure_z')  & (`se_4_urate_z')           & (`se_4_treatqual_z')                                                            & (`se_4_patsat_z')                                                               & (`se_4_healthout_z')                                                          & (`se_4_mortrate_05')         \\
{res}{txt}
{com}.         tex \midrule
{res}{txt}
{com}.         tex \multirow{c -(}1{c )-}{c -(}*{c )-}{c -(}N{c )-} & `n_1_commtg_z' & `n_1_h_ctzpressure_z' & `n_1_urate_z'           & `n_1_treatqual_z'                                                            & `n_1_patsat_z'                                                             & `n_1_healthout_z'                                                          & `n_1_mortrate_05'         \\
{res}{txt}
{com}.         tex \multirow{c -(}1{c )-}{c -(}*{c )-}{c -(}R$^{c -(}2{c )-}${c )-}   & `r2_1_commtg_z' & `r2_1_h_ctzpressure_z' & `r2_1_urate_z'           & `r2_1_treatqual_z'                                                           & `r2_1_patsat_z'                                                               & `r2_1_healthout_z'                                                         & `r2_1_mortrate_05'         \\
{res}{txt}
{com}.         tex \multirow{c -(}1{c )-}{c -(}*{c )-}{c -(}P-value (Information = Interface){c )-}   & `f_wald_commtg_z' & `f_wald_h_ctzpressure_z' & `f_wald_urate_z'           & `f_wald_treatqual_z'                                                            & `f_wald_patsat_z'                                                              & `f_wald_healthout_z'                                                          & `f_wald_mortrate_05'         \\
{res}{txt}
{com}.         tex \multirow{c -(}1{c )-}{c -(}*{c )-}{c -(}P-value (Information = Full treatment){c )-} & `f_wald1_commtg_z' & `f_wald1_h_ctzpressure_z'  & `f_wald1_urate_z'           & `f_wald1_treatqual_z'                                                            & `f_wald1_patsat_z'                                                              & `f_wald1_healthout_z'                                                          & `f_wald1_mortrate_05'         \\
{res}{txt}
{com}.         tex \multirow{c -(}1{c )-}{c -(}*{c )-}{c -(}P-value (Interface = Full treatment){c )-}  & `f_wald2_commtg_z' & `f_wald2_h_ctzpressure_z'  & `f_wald2_urate_z'           & `f_wald2_treatqual_z'                                                            & `f_wald2_patsat_z'                                                              & `f_wald2_healthout_z'                                                          & `f_wald2_mortrate_05'         \\
{res}{txt}
{com}.         tex \midrule
{res}{txt}
{com}.         tex \multirow{c -(}1{c )-}{c -(}*{c )-}{c -(}F-test (joint significance of all 3 treatment groups){c )-}  & `f_3_commtg_z' & `f_3_h_ctzpressure_z' & `f_3_urate_z'           & `f_3_treatqual_z'                                                            & `f_3_patsat_z'                                                              & `f_3_healthout_z'                                                          & `f_3_mortrate_05'         \\
{res}{txt}
{com}.         tex \multirow{c -(}1{c )-}{c -(}*{c )-}{c -(}P-value (joint significance of all 3 treatment groups){c )-}   & `f_wald3_commtg_z' & `f_wald3_h_ctzpressure_z' & `f_wald3_urate_z'           & `f_wald3_treatqual_z'                                                            & `f_wald3_patsat_z'                                                              & `f_wald3_healthout_z'                                                          & `f_wald3_mortrate_05'         \\
{res}{txt}
{com}.         tex \bottomrule
{res}{txt}
{com}.         tex \end{c -(}tabular{c )-}
{res}{txt}
{com}.         tex \end{c -(}table{c )-}
{res}{txt}
{com}.         texdoc close
{txt}(texdoc output written to {browse `"/Users/fredericcochinard/Dropbox/ACT_Health_JOP_replication_file/3.Tables and Figures/Tables/TableI54.tex"':/Users/fredericcochinard/Dropbox/ACT_Health_JOP_replication_file/3.Tables and Figures/Tables/TableI54.tex})
{res}{txt}
{com}.         
.         ******************************************************************
.         * Table I55: Balance Across Treatment Arms (Midline and Endline) *
.         ******************************************************************
.         
.         * We create an equivalent table at midline and endline including the last two section of the previous table.
.         
.         * We load the dataset. This is the light version
.         
.         use "${c -(}usedata{c )-}/chp_el_light_dataset.dta", clear
{txt}
{com}.         
.         * A & C Midline/Endline levels of key outcome indices 
.         
.         * We need to compute the different rate unstandardized
.         
.         * Community Monitoring
.         
.         egen m_commtg=rowmean(m_lc1_meetings m_lc1_meetings_hc m_find_report m_find_effort)             
{txt}(836 missing values generated)

{com}.         
.         egen e_commtg=rowmean(e_lc1_meetings e_lc1_meetings_hc e_find_report e_find_effort)             
{txt}(686 missing values generated)

{com}.         
.         * Citizen pressure
.         
.         egen m_ctzpressure=rowmean(m_h_wrong_z m_h_pressure_z)
{txt}(836 missing values generated)

{com}.         
.         egen e_ctzpressure=rowmean(e_h_wrong_z e_h_pressure_z e_h_hw_report_z)
{txt}(686 missing values generated)

{com}.         
.         * Utilization rate
.         
.         egen m_urate=rowmean(m_immunization m_visit_hf m_hf_otherpract)
{txt}(836 missing values generated)

{com}.         
.         egen e_urate=rowmean(e_immunization e_visit_hf e_hf_otherpract)
{txt}(686 missing values generated)

{com}.         
.         * Treatment quality
.         
.         egen m_treatqual=rowmean(m_use_equip m_trained m_exam_privacy m_taketest m_diagnosis_explained m_h_percentstaff_sv m_h_cleanliness m_h_meanstock)
{txt}(836 missing values generated)

{com}.         
.         egen e_treatqual=rowmean(e_use_equip e_trained e_exam_privacy e_taketest e_diagnosis_explained e_h_percentstaff_sv e_h_cleanliness e_h_meanstock)
{txt}(686 missing values generated)

{com}. 
.         * Patient satisfaction
.         
.         egen m_patsat=rowmean(m_qualityhc_d m_qualitycare m_politestaff m_interest_health m_stafflistening m_freeexpress m_yearb_avail)
{txt}(836 missing values generated)

{com}.         
.         egen e_patsat=rowmean(e_qualityhc_d e_qualitycare e_politestaff e_interest_health e_stafflistening e_freeexpress e_yearb_avail)
{txt}(686 missing values generated)

{com}.         
.         * Health outcomes
.         
.         egen m_healthout=rowmean(m_weight_18m m_weight_36m m_muac_18m m_muac_36m)               
{txt}(6094 missing values generated)

{com}.         
.         egen e_healthout=rowmean(e_weight_18m e_weight_36m e_muac_18m e_muac_36m)
{txt}(6747 missing values generated)

{com}.                 
.         * Mortality rate
.         
.         gen m_mortrate= m_mortrate_05
{txt}
{com}.         
.         gen e_mortrate= e_mortrate_05   
{txt}
{com}.         
.         * We local variable
.         
.         local m_variable m_commtg m_ctzpressure m_urate m_treatqual m_patsat m_healthout m_mortrate
{txt}
{com}.         
.         local m_variable_mean
{txt}
{com}.         
.         local e_variable e_commtg e_ctzpressure e_urate e_treatqual e_patsat e_healthout e_mortrate
{txt}
{com}.         
.         local e_variable_mean
{txt}
{com}.         
.         foreach var of local m_variable{c -(}
{txt}  2{com}.                 
.         * We compute the mean at HC level
.         
.         byso hc_id : egen `var'_mean = mean(`var')
{txt}  3{com}.         
.         local m_variable_mean `m_variable_mean' `var'_mean
{txt}  4{com}.         
.         {c )-}
{txt}
{com}.         
.         foreach var of local e_variable{c -(}
{txt}  2{com}.                 
.         * We compute the mean at HC level
.         
.         byso hc_id : egen `var'_mean = mean(`var')
{txt}  3{com}.         
.         local e_variable_mean `e_variable_mean' `var'_mean
{txt}  4{com}.         
.         {c )-}
{txt}
{com}. 
.         * At midline
.         
.         * We keep the right variable
.         
.         preserve
{txt}
{com}.         
.         keep hc_id treatment treatfull treatinter treatinfo uniquehc `m_variable_mean'
{txt}
{com}.         
.         foreach var of local m_variable_mean {c -(}
{txt}  2{com}.         
.         * Treatment group
.         
.         qui sum `var' if treatment == 1 & uniquehc == 1
{txt}  3{com}.         
.         local mean_t_`var' = string(`r(mean)',"%9.2fc")
{txt}  4{com}.         
.         * Info group
.         
.         qui sum `var' if treatment == 2 & uniquehc == 1
{txt}  5{com}.         
.         local mean_inf_`var' = string(`r(mean)',"%9.2fc")
{txt}  6{com}.                 
.         * Inter group
.         
.         qui sum `var' if treatment == 3 & uniquehc == 1
{txt}  7{com}.         
.         local mean_int_`var' = string(`r(mean)',"%9.2fc")
{txt}  8{com}.                 
.         * Control group
.         
.         qui sum `var' if treatment == 4 & uniquehc == 1
{txt}  9{com}.         
.         local mean_c_`var' = string(`r(mean)',"%9.2fc")
{txt} 10{com}.         
.         * Difference Treatment - Control
.         
.         ttest `var' if uniquehc == 1, by(treatfull)
{txt} 11{com}.         
.         local m_diff_tc_`var' = `r(mu_1)' - `r(mu_2)'
{txt} 12{com}.         
.         local p_diff_tc_`var' = (2 * ttail(`r(df_t)', abs(`m_diff_tc_`var''/`r(se)')))
{txt} 13{com}.         
.         local p_diff_tc_`var' = string(`p_diff_tc_`var'',"%9.2fc")
{txt} 14{com}.         
.         * Difference Info - no Info
.         
.         ttest `var' if uniquehc == 1, by(treatinfo)
{txt} 15{com}.         
.         local m_diff_info_`var' = `r(mu_1)' - `r(mu_2)'
{txt} 16{com}.         
.         local p_diff_info_`var' = (2 * ttail(`r(df_t)', abs(`m_diff_info_`var''/`r(se)')))
{txt} 17{com}.         
.         local p_diff_info_`var' = string(`p_diff_info_`var'',"%9.2fc")
{txt} 18{com}.         
.         * Difference Inter - no Inter
.         
.         ttest `var' if uniquehc == 1, by(treatinter)
{txt} 19{com}.         
.         local m_diff_inter_`var' = `r(mu_1)' - `r(mu_2)'
{txt} 20{com}.         
.         local p_diff_inter_`var' = (2 * ttail(`r(df_t)', abs(`m_diff_inter_`var''/`r(se)')))
{txt} 21{com}.         
.         local p_diff_inter_`var' = string(`p_diff_inter_`var'',"%9.2fc")
{txt} 22{com}.         
.         {c )-}

{txt}Two-sample t test with equal variances
{hline 9}{c TT}{hline 68}
   Group{col 10}{c |}{col 16}Obs{col 27}Mean{col 35}Std. Err.{col 47}Std. Dev.{col 59}[95% Conf. Interval]
{hline 9}{c +}{hline 68}
 Control {c |}{res}{col 12}     95{col 22} .7605037{col 34}  .007961{col 46} .0775942{col 58}  .744697{col 70} .7763105
    {txt}Full {c |}{res}{col 12}     92{col 22} .7707237{col 34} .0065875{col 46} .0631855{col 58} .7576383{col 70}  .783809
{txt}{hline 9}{c +}{hline 68}
combined {c |}{res}{col 12}    187{col 22} .7655317{col 34} .0051824{col 46} .0708684{col 58} .7553079{col 70} .7757556
{txt}{hline 9}{c +}{hline 68}
    diff {c |}{res}{col 22}  -.01022{col 34} .0103669{col 58}-.0306726{col 70} .0102327
{txt}{hline 9}{c BT}{hline 68}
    diff = mean({res}Control{txt}) - mean({res}Full{txt})                             t = {res} -0.9858
{txt}Ho: diff = 0                                     degrees of freedom = {res}     185

    {txt}Ha: diff < 0                 Ha: diff != 0                 Ha: diff > 0
 Pr(T < t) = {res}0.1628         {txt}Pr(|T| > |t|) = {res}0.3255          {txt}Pr(T > t) = {res}0.8372

{txt}Two-sample t test with equal variances
{hline 9}{c TT}{hline 68}
   Group{col 10}{c |}{col 16}Obs{col 27}Mean{col 35}Std. Err.{col 47}Std. Dev.{col 59}[95% Conf. Interval]
{hline 9}{c +}{hline 68}
 No info {c |}{res}{col 12}    192{col 22} .7672056{col 34} .0051596{col 46} .0714935{col 58} .7570285{col 70} .7773827
    {txt}Info {c |}{res}{col 12}    184{col 22} .7728868{col 34} .0047532{col 46} .0644751{col 58} .7635087{col 70} .7822648
{txt}{hline 9}{c +}{hline 68}
combined {c |}{res}{col 12}    376{col 22} .7699857{col 34} .0035129{col 46} .0681182{col 58} .7630782{col 70} .7768933
{txt}{hline 9}{c +}{hline 68}
    diff {c |}{res}{col 22}-.0056812{col 34} .0070307{col 58}-.0195058{col 70} .0081435
{txt}{hline 9}{c BT}{hline 68}
    diff = mean({res}No info{txt}) - mean({res}Info{txt})                             t = {res} -0.8081
{txt}Ho: diff = 0                                     degrees of freedom = {res}     374

    {txt}Ha: diff < 0                 Ha: diff != 0                 Ha: diff > 0
 Pr(T < t) = {res}0.2098         {txt}Pr(|T| > |t|) = {res}0.4196          {txt}Pr(T > t) = {res}0.7902

{txt}Two-sample t test with equal variances
{hline 9}{c TT}{hline 68}
   Group{col 10}{c |}{col 16}Obs{col 27}Mean{col 35}Std. Err.{col 47}Std. Dev.{col 59}[95% Conf. Interval]
{hline 9}{c +}{hline 68}
No inter {c |}{res}{col 12}    187{col 22} .7676601{col 34} .0052875{col 46} .0723052{col 58}  .757229{col 70} .7780913
{txt}Interfac {c |}{res}{col 12}    189{col 22} .7722868{col 34} .0046419{col 46} .0638151{col 58} .7631299{col 70} .7814436
{txt}{hline 9}{c +}{hline 68}
combined {c |}{res}{col 12}    376{col 22} .7699857{col 34} .0035129{col 46} .0681182{col 58} .7630782{col 70} .7768933
{txt}{hline 9}{c +}{hline 68}
    diff {c |}{res}{col 22}-.0046266{col 34} .0070313{col 58}-.0184524{col 70} .0091991
{txt}{hline 9}{c BT}{hline 68}
    diff = mean({res}No inter{txt}) - mean({res}Interfac{txt})                        t = {res} -0.6580
{txt}Ho: diff = 0                                     degrees of freedom = {res}     374

    {txt}Ha: diff < 0                 Ha: diff != 0                 Ha: diff > 0
 Pr(T < t) = {res}0.2555         {txt}Pr(|T| > |t|) = {res}0.5109          {txt}Pr(T > t) = {res}0.7445

{txt}Two-sample t test with equal variances
{hline 9}{c TT}{hline 68}
   Group{col 10}{c |}{col 16}Obs{col 27}Mean{col 35}Std. Err.{col 47}Std. Dev.{col 59}[95% Conf. Interval]
{hline 9}{c +}{hline 68}
 Control {c |}{res}{col 12}     95{col 22} 2.70e-08{col 34}  .083723{col 46} .8160309{col 58} -.166234{col 70}  .166234
    {txt}Full {c |}{res}{col 12}     92{col 22}-.1450796{col 34} .0951039{col 46} .9122043{col 58}-.3339918{col 70} .0438326
{txt}{hline 9}{c +}{hline 68}
combined {c |}{res}{col 12}    187{col 22} -.071376{col 34}  .063285{col 46} .8654093{col 58}-.1962247{col 70} .0534726
{txt}{hline 9}{c +}{hline 68}
    diff {c |}{res}{col 22} .1450796{col 34}  .126479{col 58}-.1044469{col 70} .3946062
{txt}{hline 9}{c BT}{hline 68}
    diff = mean({res}Control{txt}) - mean({res}Full{txt})                             t = {res}  1.1471
{txt}Ho: diff = 0                                     degrees of freedom = {res}     185

    {txt}Ha: diff < 0                 Ha: diff != 0                 Ha: diff > 0
 Pr(T < t) = {res}0.8736         {txt}Pr(|T| > |t|) = {res}0.2528          {txt}Pr(T > t) = {res}0.1264

{txt}Two-sample t test with equal variances
{hline 9}{c TT}{hline 68}
   Group{col 10}{c |}{col 16}Obs{col 27}Mean{col 35}Std. Err.{col 47}Std. Dev.{col 59}[95% Conf. Interval]
{hline 9}{c +}{hline 68}
 No info {c |}{res}{col 12}    192{col 22}-.0541151{col 34} .0624041{col 46}  .864696{col 58}-.1772047{col 70} .0689745
    {txt}Info {c |}{res}{col 12}    184{col 22}-.0221054{col 34} .0577627{col 46} .7835308{col 58}-.1360718{col 70}  .091861
{txt}{hline 9}{c +}{hline 68}
combined {c |}{res}{col 12}    376{col 22}-.0384508{col 34} .0425478{col 46} .8250321{col 58}-.1221129{col 70} .0452113
{txt}{hline 9}{c +}{hline 68}
    diff {c |}{res}{col 22}-.0320097{col 34} .0852125{col 58}-.1995653{col 70}  .135546
{txt}{hline 9}{c BT}{hline 68}
    diff = mean({res}No info{txt}) - mean({res}Info{txt})                             t = {res} -0.3756
{txt}Ho: diff = 0                                     degrees of freedom = {res}     374

    {txt}Ha: diff < 0                 Ha: diff != 0                 Ha: diff > 0
 Pr(T < t) = {res}0.3537         {txt}Pr(|T| > |t|) = {res}0.7074          {txt}Pr(T > t) = {res}0.6463

{txt}Two-sample t test with equal variances
{hline 9}{c TT}{hline 68}
   Group{col 10}{c |}{col 16}Obs{col 27}Mean{col 35}Std. Err.{col 47}Std. Dev.{col 59}[95% Conf. Interval]
{hline 9}{c +}{hline 68}
No inter {c |}{res}{col 12}    187{col 22} .0496253{col 34} .0527854{col 46} .7218293{col 58}-.0545098{col 70} .1537603
{txt}Interfac {c |}{res}{col 12}    189{col 22}-.1255948{col 34} .0661444{col 46} .9093351{col 58}-.2560754{col 70} .0048857
{txt}{hline 9}{c +}{hline 68}
combined {c |}{res}{col 12}    376{col 22}-.0384508{col 34} .0425478{col 46} .8250321{col 58}-.1221129{col 70} .0452113
{txt}{hline 9}{c +}{hline 68}
    diff {c |}{res}{col 22} .1752201{col 34} .0847274{col 58} .0086183{col 70} .3418219
{txt}{hline 9}{c BT}{hline 68}
    diff = mean({res}No inter{txt}) - mean({res}Interfac{txt})                        t = {res}  2.0680
{txt}Ho: diff = 0                                     degrees of freedom = {res}     374

    {txt}Ha: diff < 0                 Ha: diff != 0                 Ha: diff > 0
 Pr(T < t) = {res}0.9803         {txt}Pr(|T| > |t|) = {res}0.0393          {txt}Pr(T > t) = {res}0.0197

{txt}Two-sample t test with equal variances
{hline 9}{c TT}{hline 68}
   Group{col 10}{c |}{col 16}Obs{col 27}Mean{col 35}Std. Err.{col 47}Std. Dev.{col 59}[95% Conf. Interval]
{hline 9}{c +}{hline 68}
 Control {c |}{res}{col 12}     95{col 22} 6.049129{col 34} .2063315{col 46} 2.011071{col 58} 5.639453{col 70} 6.458805
    {txt}Full {c |}{res}{col 12}     92{col 22} 5.781287{col 34} .2035299{col 46}  1.95219{col 58}    5.377{col 70} 6.185574
{txt}{hline 9}{c +}{hline 68}
combined {c |}{res}{col 12}    187{col 22} 5.917357{col 34} .1449049{col 46} 1.981544{col 58} 5.631488{col 70} 6.203225
{txt}{hline 9}{c +}{hline 68}
    diff {c |}{res}{col 22} .2678423{col 34} .2899615{col 58}-.3042139{col 70} .8398986
{txt}{hline 9}{c BT}{hline 68}
    diff = mean({res}Control{txt}) - mean({res}Full{txt})                             t = {res}  0.9237
{txt}Ho: diff = 0                                     degrees of freedom = {res}     185

    {txt}Ha: diff < 0                 Ha: diff != 0                 Ha: diff > 0
 Pr(T < t) = {res}0.8216         {txt}Pr(|T| > |t|) = {res}0.3568          {txt}Pr(T > t) = {res}0.1784

{txt}Two-sample t test with equal variances
{hline 9}{c TT}{hline 68}
   Group{col 10}{c |}{col 16}Obs{col 27}Mean{col 35}Std. Err.{col 47}Std. Dev.{col 59}[95% Conf. Interval]
{hline 9}{c +}{hline 68}
 No info {c |}{res}{col 12}    192{col 22} 6.076768{col 34} .1383587{col 46} 1.917154{col 58} 5.803861{col 70} 6.349676
    {txt}Info {c |}{res}{col 12}    184{col 22} 5.740288{col 34} .1350959{col 46} 1.832529{col 58} 5.473742{col 70} 6.006834
{txt}{hline 9}{c +}{hline 68}
combined {c |}{res}{col 12}    376{col 22} 5.912108{col 34} .0970194{col 46} 1.881275{col 58} 5.721338{col 70} 6.102878
{txt}{hline 9}{c +}{hline 68}
    diff {c |}{res}{col 22} .3364806{col 34} .1935615{col 58}-.0441247{col 70} .7170859
{txt}{hline 9}{c BT}{hline 68}
    diff = mean({res}No info{txt}) - mean({res}Info{txt})                             t = {res}  1.7384
{txt}Ho: diff = 0                                     degrees of freedom = {res}     374

    {txt}Ha: diff < 0                 Ha: diff != 0                 Ha: diff > 0
 Pr(T < t) = {res}0.9585         {txt}Pr(|T| > |t|) = {res}0.0830          {txt}Pr(T > t) = {res}0.0415

{txt}Two-sample t test with equal variances
{hline 9}{c TT}{hline 68}
   Group{col 10}{c |}{col 16}Obs{col 27}Mean{col 35}Std. Err.{col 47}Std. Dev.{col 59}[95% Conf. Interval]
{hline 9}{c +}{hline 68}
No inter {c |}{res}{col 12}    187{col 22} 5.877015{col 34} .1370525{col 46} 1.874165{col 58} 5.606638{col 70} 6.147392
{txt}Interfac {c |}{res}{col 12}    189{col 22} 5.946829{col 34} .1376677{col 46} 1.892618{col 58} 5.675257{col 70} 6.218401
{txt}{hline 9}{c +}{hline 68}
combined {c |}{res}{col 12}    376{col 22} 5.912108{col 34} .0970194{col 46} 1.881275{col 58} 5.721338{col 70} 6.102878
{txt}{hline 9}{c +}{hline 68}
    diff {c |}{res}{col 22}-.0698137{col 34} .1942671{col 58}-.4518064{col 70} .3121791
{txt}{hline 9}{c BT}{hline 68}
    diff = mean({res}No inter{txt}) - mean({res}Interfac{txt})                        t = {res} -0.3594
{txt}Ho: diff = 0                                     degrees of freedom = {res}     374

    {txt}Ha: diff < 0                 Ha: diff != 0                 Ha: diff > 0
 Pr(T < t) = {res}0.3598         {txt}Pr(|T| > |t|) = {res}0.7195          {txt}Pr(T > t) = {res}0.6402

{txt}Two-sample t test with equal variances
{hline 9}{c TT}{hline 68}
   Group{col 10}{c |}{col 16}Obs{col 27}Mean{col 35}Std. Err.{col 47}Std. Dev.{col 59}[95% Conf. Interval]
{hline 9}{c +}{hline 68}
 Control {c |}{res}{col 12}     95{col 22} .7521954{col 34} .0064479{col 46} .0628463{col 58}  .739393{col 70} .7649978
    {txt}Full {c |}{res}{col 12}     92{col 22} .7649278{col 34} .0058903{col 46} .0564977{col 58} .7532275{col 70} .7766282
{txt}{hline 9}{c +}{hline 68}
combined {c |}{res}{col 12}    187{col 22} .7584595{col 34} .0043867{col 46} .0599873{col 58} .7498054{col 70} .7671136
{txt}{hline 9}{c +}{hline 68}
    diff {c |}{res}{col 22}-.0127324{col 34} .0087483{col 58}-.0299916{col 70} .0045268
{txt}{hline 9}{c BT}{hline 68}
    diff = mean({res}Control{txt}) - mean({res}Full{txt})                             t = {res} -1.4554
{txt}Ho: diff = 0                                     degrees of freedom = {res}     185

    {txt}Ha: diff < 0                 Ha: diff != 0                 Ha: diff > 0
 Pr(T < t) = {res}0.0736         {txt}Pr(|T| > |t|) = {res}0.1472          {txt}Pr(T > t) = {res}0.9264

{txt}Two-sample t test with equal variances
{hline 9}{c TT}{hline 68}
   Group{col 10}{c |}{col 16}Obs{col 27}Mean{col 35}Std. Err.{col 47}Std. Dev.{col 59}[95% Conf. Interval]
{hline 9}{c +}{hline 68}
 No info {c |}{res}{col 12}    192{col 22} .7547068{col 34} .0044967{col 46} .0623074{col 58} .7458374{col 70} .7635763
    {txt}Info {c |}{res}{col 12}    184{col 22} .7643027{col 34} .0042242{col 46} .0572993{col 58} .7559684{col 70}  .772637
{txt}{hline 9}{c +}{hline 68}
combined {c |}{res}{col 12}    376{col 22} .7594027{col 34} .0030954{col 46} .0600218{col 58} .7533162{col 70} .7654892
{txt}{hline 9}{c +}{hline 68}
    diff {c |}{res}{col 22}-.0095959{col 34} .0061806{col 58}-.0217489{col 70} .0025572
{txt}{hline 9}{c BT}{hline 68}
    diff = mean({res}No info{txt}) - mean({res}Info{txt})                             t = {res} -1.5526
{txt}Ho: diff = 0                                     degrees of freedom = {res}     374

    {txt}Ha: diff < 0                 Ha: diff != 0                 Ha: diff > 0
 Pr(T < t) = {res}0.0607         {txt}Pr(|T| > |t|) = {res}0.1214          {txt}Pr(T > t) = {res}0.9393

{txt}Two-sample t test with equal variances
{hline 9}{c TT}{hline 68}
   Group{col 10}{c |}{col 16}Obs{col 27}Mean{col 35}Std. Err.{col 47}Std. Dev.{col 59}[95% Conf. Interval]
{hline 9}{c +}{hline 68}
No inter {c |}{res}{col 12}    187{col 22} .7578444{col 34} .0044466{col 46} .0608062{col 58} .7490722{col 70} .7666166
{txt}Interfac {c |}{res}{col 12}    189{col 22} .7609445{col 34} .0043176{col 46} .0593567{col 58} .7524274{col 70} .7694616
{txt}{hline 9}{c +}{hline 68}
combined {c |}{res}{col 12}    376{col 22} .7594027{col 34} .0030954{col 46} .0600218{col 58} .7533162{col 70} .7654892
{txt}{hline 9}{c +}{hline 68}
    diff {c |}{res}{col 22}-.0031001{col 34} .0061971{col 58}-.0152856{col 70} .0090853
{txt}{hline 9}{c BT}{hline 68}
    diff = mean({res}No inter{txt}) - mean({res}Interfac{txt})                        t = {res} -0.5003
{txt}Ho: diff = 0                                     degrees of freedom = {res}     374

    {txt}Ha: diff < 0                 Ha: diff != 0                 Ha: diff > 0
 Pr(T < t) = {res}0.3086         {txt}Pr(|T| > |t|) = {res}0.6172          {txt}Pr(T > t) = {res}0.6914

{txt}Two-sample t test with equal variances
{hline 9}{c TT}{hline 68}
   Group{col 10}{c |}{col 16}Obs{col 27}Mean{col 35}Std. Err.{col 47}Std. Dev.{col 59}[95% Conf. Interval]
{hline 9}{c +}{hline 68}
 Control {c |}{res}{col 12}     95{col 22} .7639171{col 34} .0062864{col 46} .0612723{col 58} .7514353{col 70} .7763989
    {txt}Full {c |}{res}{col 12}     92{col 22} .7748529{col 34} .0072988{col 46} .0700076{col 58} .7603548{col 70} .7893511
{txt}{hline 9}{c +}{hline 68}
combined {c |}{res}{col 12}    187{col 22} .7692973{col 34} .0048093{col 46} .0657664{col 58} .7598095{col 70} .7787851
{txt}{hline 9}{c +}{hline 68}
    diff {c |}{res}{col 22}-.0109359{col 34} .0096123{col 58}-.0298996{col 70} .0080279
{txt}{hline 9}{c BT}{hline 68}
    diff = mean({res}Control{txt}) - mean({res}Full{txt})                             t = {res} -1.1377
{txt}Ho: diff = 0                                     degrees of freedom = {res}     185

    {txt}Ha: diff < 0                 Ha: diff != 0                 Ha: diff > 0
 Pr(T < t) = {res}0.1284         {txt}Pr(|T| > |t|) = {res}0.2567          {txt}Pr(T > t) = {res}0.8716

{txt}Two-sample t test with equal variances
{hline 9}{c TT}{hline 68}
   Group{col 10}{c |}{col 16}Obs{col 27}Mean{col 35}Std. Err.{col 47}Std. Dev.{col 59}[95% Conf. Interval]
{hline 9}{c +}{hline 68}
 No info {c |}{res}{col 12}    192{col 22} .7653481{col 34} .0046776{col 46} .0648144{col 58} .7561217{col 70} .7745744
    {txt}Info {c |}{res}{col 12}    184{col 22} .7745245{col 34} .0047905{col 46} .0649815{col 58} .7650728{col 70} .7839763
{txt}{hline 9}{c +}{hline 68}
combined {c |}{res}{col 12}    376{col 22} .7698387{col 34} .0033507{col 46} .0649722{col 58} .7632502{col 70} .7764272
{txt}{hline 9}{c +}{hline 68}
    diff {c |}{res}{col 22}-.0091765{col 34}  .006695{col 58}-.0223411{col 70} .0039882
{txt}{hline 9}{c BT}{hline 68}
    diff = mean({res}No info{txt}) - mean({res}Info{txt})                             t = {res} -1.3706
{txt}Ho: diff = 0                                     degrees of freedom = {res}     374

    {txt}Ha: diff < 0                 Ha: diff != 0                 Ha: diff > 0
 Pr(T < t) = {res}0.0857         {txt}Pr(|T| > |t|) = {res}0.1713          {txt}Pr(T > t) = {res}0.9143

{txt}Two-sample t test with equal variances
{hline 9}{c TT}{hline 68}
   Group{col 10}{c |}{col 16}Obs{col 27}Mean{col 35}Std. Err.{col 47}Std. Dev.{col 59}[95% Conf. Interval]
{hline 9}{c +}{hline 68}
No inter {c |}{res}{col 12}    187{col 22} .7689742{col 34} .0044364{col 46} .0606665{col 58} .7602221{col 70} .7777262
{txt}Interfac {c |}{res}{col 12}    189{col 22} .7706941{col 34} .0050277{col 46}   .06912{col 58}  .760776{col 70} .7806121
{txt}{hline 9}{c +}{hline 68}
combined {c |}{res}{col 12}    376{col 22} .7698387{col 34} .0033507{col 46} .0649722{col 58} .7632502{col 70} .7764272
{txt}{hline 9}{c +}{hline 68}
    diff {c |}{res}{col 22}-.0017199{col 34} .0067098{col 58}-.0149136{col 70} .0114738
{txt}{hline 9}{c BT}{hline 68}
    diff = mean({res}No inter{txt}) - mean({res}Interfac{txt})                        t = {res} -0.2563
{txt}Ho: diff = 0                                     degrees of freedom = {res}     374

    {txt}Ha: diff < 0                 Ha: diff != 0                 Ha: diff > 0
 Pr(T < t) = {res}0.3989         {txt}Pr(|T| > |t|) = {res}0.7978          {txt}Pr(T > t) = {res}0.6011

{txt}Two-sample t test with equal variances
{hline 9}{c TT}{hline 68}
   Group{col 10}{c |}{col 16}Obs{col 27}Mean{col 35}Std. Err.{col 47}Std. Dev.{col 59}[95% Conf. Interval]
{hline 9}{c +}{hline 68}
 Control {c |}{res}{col 12}     95{col 22} .9829982{col 34} .0239596{col 46}  .233529{col 58} .9354259{col 70} 1.030571
    {txt}Full {c |}{res}{col 12}     92{col 22} 1.027562{col 34} .0270454{col 46} .2594105{col 58} .9738394{col 70} 1.081284
{txt}{hline 9}{c +}{hline 68}
combined {c |}{res}{col 12}    187{col 22} 1.004923{col 34} .0180586{col 46} .2469483{col 58} .9692964{col 70} 1.040549
{txt}{hline 9}{c +}{hline 68}
    diff {c |}{res}{col 22}-.0445636{col 34} .0360709{col 58}-.1157268{col 70} .0265997
{txt}{hline 9}{c BT}{hline 68}
    diff = mean({res}Control{txt}) - mean({res}Full{txt})                             t = {res} -1.2354
{txt}Ho: diff = 0                                     degrees of freedom = {res}     185

    {txt}Ha: diff < 0                 Ha: diff != 0                 Ha: diff > 0
 Pr(T < t) = {res}0.1091         {txt}Pr(|T| > |t|) = {res}0.2182          {txt}Pr(T > t) = {res}0.8909

{txt}Two-sample t test with equal variances
{hline 9}{c TT}{hline 68}
   Group{col 10}{c |}{col 16}Obs{col 27}Mean{col 35}Std. Err.{col 47}Std. Dev.{col 59}[95% Conf. Interval]
{hline 9}{c +}{hline 68}
 No info {c |}{res}{col 12}    192{col 22} 1.018358{col 34} .0171143{col 46} .2371434{col 58} .9846004{col 70} 1.052115
    {txt}Info {c |}{res}{col 12}    184{col 22} 1.017504{col 34} .0172769{col 46} .2343556{col 58} .9834159{col 70} 1.051591
{txt}{hline 9}{c +}{hline 68}
combined {c |}{res}{col 12}    376{col 22}  1.01794{col 34} .0121434{col 46} .2354692{col 58} .9940621{col 70} 1.041817
{txt}{hline 9}{c +}{hline 68}
    diff {c |}{res}{col 22} .0008543{col 34} .0243247{col 58}-.0469761{col 70} .0486846
{txt}{hline 9}{c BT}{hline 68}
    diff = mean({res}No info{txt}) - mean({res}Info{txt})                             t = {res}  0.0351
{txt}Ho: diff = 0                                     degrees of freedom = {res}     374

    {txt}Ha: diff < 0                 Ha: diff != 0                 Ha: diff > 0
 Pr(T < t) = {res}0.5140         {txt}Pr(|T| > |t|) = {res}0.9720          {txt}Pr(T > t) = {res}0.4860

{txt}Two-sample t test with equal variances
{hline 9}{c TT}{hline 68}
   Group{col 10}{c |}{col 16}Obs{col 27}Mean{col 35}Std. Err.{col 47}Std. Dev.{col 59}[95% Conf. Interval]
{hline 9}{c +}{hline 68}
No inter {c |}{res}{col 12}    187{col 22} .9950256{col 34} .0161419{col 46} .2207365{col 58}  .963181{col 70}  1.02687
{txt}Interfac {c |}{res}{col 12}    189{col 22} 1.040611{col 34} .0180169{col 46}  .247692{col 58}  1.00507{col 70} 1.076153
{txt}{hline 9}{c +}{hline 68}
combined {c |}{res}{col 12}    376{col 22}  1.01794{col 34} .0121434{col 46} .2354692{col 58} .9940621{col 70} 1.041817
{txt}{hline 9}{c +}{hline 68}
    diff {c |}{res}{col 22}-.0455857{col 34} .0242051{col 58}-.0931808{col 70} .0020094
{txt}{hline 9}{c BT}{hline 68}
    diff = mean({res}No inter{txt}) - mean({res}Interfac{txt})                        t = {res} -1.8833
{txt}Ho: diff = 0                                     degrees of freedom = {res}     374

    {txt}Ha: diff < 0                 Ha: diff != 0                 Ha: diff > 0
 Pr(T < t) = {res}0.0302         {txt}Pr(|T| > |t|) = {res}0.0604          {txt}Pr(T > t) = {res}0.9698

{txt}Two-sample t test with equal variances
{hline 9}{c TT}{hline 68}
   Group{col 10}{c |}{col 16}Obs{col 27}Mean{col 35}Std. Err.{col 47}Std. Dev.{col 59}[95% Conf. Interval]
{hline 9}{c +}{hline 68}
 Control {c |}{res}{col 12}     95{col 22}  .055355{col 34} .0072737{col 46} .0708954{col 58} .0409128{col 70} .0697971
    {txt}Full {c |}{res}{col 12}     92{col 22} .0440343{col 34} .0068634{col 46} .0658315{col 58} .0304009{col 70} .0576676
{txt}{hline 9}{c +}{hline 68}
combined {c |}{res}{col 12}    187{col 22} .0497854{col 34} .0050094{col 46} .0685025{col 58} .0399029{col 70}  .059668
{txt}{hline 9}{c +}{hline 68}
    diff {c |}{res}{col 22} .0113207{col 34} .0100126{col 58}-.0084328{col 70} .0310743
{txt}{hline 9}{c BT}{hline 68}
    diff = mean({res}Control{txt}) - mean({res}Full{txt})                             t = {res}  1.1306
{txt}Ho: diff = 0                                     degrees of freedom = {res}     185

    {txt}Ha: diff < 0                 Ha: diff != 0                 Ha: diff > 0
 Pr(T < t) = {res}0.8702         {txt}Pr(|T| > |t|) = {res}0.2597          {txt}Pr(T > t) = {res}0.1298

{txt}Two-sample t test with equal variances
{hline 9}{c TT}{hline 68}
   Group{col 10}{c |}{col 16}Obs{col 27}Mean{col 35}Std. Err.{col 47}Std. Dev.{col 59}[95% Conf. Interval]
{hline 9}{c +}{hline 68}
 No info {c |}{res}{col 12}    192{col 22} .0513733{col 34} .0049642{col 46} .0687861{col 58} .0415816{col 70}  .061165
    {txt}Info {c |}{res}{col 12}    184{col 22}  .040821{col 34} .0045319{col 46} .0614739{col 58} .0318795{col 70} .0497625
{txt}{hline 9}{c +}{hline 68}
combined {c |}{res}{col 12}    376{col 22} .0462094{col 34} .0033747{col 46} .0654369{col 58} .0395738{col 70}  .052845
{txt}{hline 9}{c +}{hline 68}
    diff {c |}{res}{col 22} .0105523{col 34} .0067378{col 58}-.0026964{col 70}  .023801
{txt}{hline 9}{c BT}{hline 68}
    diff = mean({res}No info{txt}) - mean({res}Info{txt})                             t = {res}  1.5661
{txt}Ho: diff = 0                                     degrees of freedom = {res}     374

    {txt}Ha: diff < 0                 Ha: diff != 0                 Ha: diff > 0
 Pr(T < t) = {res}0.9409         {txt}Pr(|T| > |t|) = {res}0.1182          {txt}Pr(T > t) = {res}0.0591

{txt}Two-sample t test with equal variances
{hline 9}{c TT}{hline 68}
   Group{col 10}{c |}{col 16}Obs{col 27}Mean{col 35}Std. Err.{col 47}Std. Dev.{col 59}[95% Conf. Interval]
{hline 9}{c +}{hline 68}
No inter {c |}{res}{col 12}    187{col 22} .0466237{col 34}  .004743{col 46} .0648601{col 58} .0372666{col 70} .0559808
{txt}Interfac {c |}{res}{col 12}    189{col 22} .0457995{col 34} .0048133{col 46} .0661725{col 58} .0363044{col 70} .0552946
{txt}{hline 9}{c +}{hline 68}
combined {c |}{res}{col 12}    376{col 22} .0462094{col 34} .0033747{col 46} .0654369{col 58} .0395738{col 70}  .052845
{txt}{hline 9}{c +}{hline 68}
    diff {c |}{res}{col 22} .0008242{col 34} .0067583{col 58}-.0124648{col 70} .0141132
{txt}{hline 9}{c BT}{hline 68}
    diff = mean({res}No inter{txt}) - mean({res}Interfac{txt})                        t = {res}  0.1220
{txt}Ho: diff = 0                                     degrees of freedom = {res}     374

    {txt}Ha: diff < 0                 Ha: diff != 0                 Ha: diff > 0
 Pr(T < t) = {res}0.5485         {txt}Pr(|T| > |t|) = {res}0.9030          {txt}Pr(T > t) = {res}0.4515
{txt}
{com}.         
.         restore
{txt}
{com}.         
.         * At endline
.         
.         * We keep the right variable
.         
.         preserve
{txt}
{com}.         
.         keep hc_id treatment treatfull treatinter treatinfo uniquehc `e_variable_mean'
{txt}
{com}.         
.         foreach var of local e_variable_mean {c -(}
{txt}  2{com}.         
.         * Treatment group
.         
.         qui sum `var' if treatment == 1 & uniquehc == 1
{txt}  3{com}.         
.         local mean_t_`var' = string(`r(mean)',"%9.2fc")
{txt}  4{com}.         
.         * Info group
.         
.         qui sum `var' if treatment == 2 & uniquehc == 1
{txt}  5{com}.         
.         local mean_inf_`var' = string(`r(mean)',"%9.2fc")
{txt}  6{com}.                 
.         * Inter group
.         
.         qui sum `var' if treatment == 3 & uniquehc == 1
{txt}  7{com}.         
.         local mean_int_`var' = string(`r(mean)',"%9.2fc")
{txt}  8{com}.                 
.         * Control group
.         
.         qui sum `var' if treatment == 4 & uniquehc == 1
{txt}  9{com}.         
.         local mean_c_`var' = string(`r(mean)',"%9.2fc")
{txt} 10{com}.         
.         * Difference Treatment - Control
.         
.         ttest `var' if uniquehc == 1, by(treatfull)
{txt} 11{com}.         
.         local m_diff_tc_`var' = `r(mu_1)' - `r(mu_2)'
{txt} 12{com}.         
.         local p_diff_tc_`var' = (2 * ttail(`r(df_t)', abs(`m_diff_tc_`var''/`r(se)')))
{txt} 13{com}.         
.         local p_diff_tc_`var' = string(`p_diff_tc_`var'',"%9.2fc")
{txt} 14{com}.         
.         * Difference Info - no Info
.         
.         ttest `var' if uniquehc == 1, by(treatinfo)
{txt} 15{com}.         
.         local m_diff_info_`var' = `r(mu_1)' - `r(mu_2)'
{txt} 16{com}.         
.         local p_diff_info_`var' = (2 * ttail(`r(df_t)', abs(`m_diff_info_`var''/`r(se)')))
{txt} 17{com}.         
.         local p_diff_info_`var' = string(`p_diff_info_`var'',"%9.2fc")
{txt} 18{com}.         
.         * Difference Inter - no Inter
.         
.         ttest `var' if uniquehc == 1, by(treatinter)
{txt} 19{com}.         
.         local m_diff_inter_`var' = `r(mu_1)' - `r(mu_2)'
{txt} 20{com}.         
.         local p_diff_inter_`var' = (2 * ttail(`r(df_t)', abs(`m_diff_inter_`var''/`r(se)')))
{txt} 21{com}.         
.         local p_diff_inter_`var' = string(`p_diff_inter_`var'',"%9.2fc")
{txt} 22{com}.         
.         {c )-}

{txt}Two-sample t test with equal variances
{hline 9}{c TT}{hline 68}
   Group{col 10}{c |}{col 16}Obs{col 27}Mean{col 35}Std. Err.{col 47}Std. Dev.{col 59}[95% Conf. Interval]
{hline 9}{c +}{hline 68}
 Control {c |}{res}{col 12}     95{col 22}  .728408{col 34} .0086632{col 46} .0844384{col 58}  .711207{col 70}  .745609
    {txt}Full {c |}{res}{col 12}     92{col 22} .7329918{col 34} .0092305{col 46} .0885357{col 58} .7146566{col 70}  .751327
{txt}{hline 9}{c +}{hline 68}
combined {c |}{res}{col 12}    187{col 22} .7306631{col 34} .0063091{col 46} .0862759{col 58} .7182165{col 70} .7431098
{txt}{hline 9}{c +}{hline 68}
    diff {c |}{res}{col 22}-.0045838{col 34} .0126494{col 58}-.0295395{col 70} .0203719
{txt}{hline 9}{c BT}{hline 68}
    diff = mean({res}Control{txt}) - mean({res}Full{txt})                             t = {res} -0.3624
{txt}Ho: diff = 0                                     degrees of freedom = {res}     185

    {txt}Ha: diff < 0                 Ha: diff != 0                 Ha: diff > 0
 Pr(T < t) = {res}0.3587         {txt}Pr(|T| > |t|) = {res}0.7175          {txt}Pr(T > t) = {res}0.6413

{txt}Two-sample t test with equal variances
{hline 9}{c TT}{hline 68}
   Group{col 10}{c |}{col 16}Obs{col 27}Mean{col 35}Std. Err.{col 47}Std. Dev.{col 59}[95% Conf. Interval]
{hline 9}{c +}{hline 68}
 No info {c |}{res}{col 12}    192{col 22} .7367805{col 34} .0060739{col 46} .0841629{col 58} .7247999{col 70} .7487611
    {txt}Info {c |}{res}{col 12}    184{col 22} .7357412{col 34} .0066778{col 46} .0905822{col 58} .7225658{col 70} .7489166
{txt}{hline 9}{c +}{hline 68}
combined {c |}{res}{col 12}    376{col 22} .7362719{col 34} .0044995{col 46} .0872478{col 58} .7274246{col 70} .7451192
{txt}{hline 9}{c +}{hline 68}
    diff {c |}{res}{col 22} .0010393{col 34} .0090128{col 58}-.0166829{col 70} .0187615
{txt}{hline 9}{c BT}{hline 68}
    diff = mean({res}No info{txt}) - mean({res}Info{txt})                             t = {res}  0.1153
{txt}Ho: diff = 0                                     degrees of freedom = {res}     374

    {txt}Ha: diff < 0                 Ha: diff != 0                 Ha: diff > 0
 Pr(T < t) = {res}0.5459         {txt}Pr(|T| > |t|) = {res}0.9083          {txt}Pr(T > t) = {res}0.4541

{txt}Two-sample t test with equal variances
{hline 9}{c TT}{hline 68}
   Group{col 10}{c |}{col 16}Obs{col 27}Mean{col 35}Std. Err.{col 47}Std. Dev.{col 59}[95% Conf. Interval]
{hline 9}{c +}{hline 68}
No inter {c |}{res}{col 12}    187{col 22} .7333684{col 34} .0064829{col 46} .0886516{col 58} .7205791{col 70} .7461578
{txt}Interfac {c |}{res}{col 12}    189{col 22} .7391446{col 34} .0062538{col 46}  .085975{col 58} .7268081{col 70} .7514812
{txt}{hline 9}{c +}{hline 68}
combined {c |}{res}{col 12}    376{col 22} .7362719{col 34} .0044995{col 46} .0872478{col 58} .7274246{col 70} .7451192
{txt}{hline 9}{c +}{hline 68}
    diff {c |}{res}{col 22}-.0057762{col 34} .0090061{col 58}-.0234852{col 70} .0119328
{txt}{hline 9}{c BT}{hline 68}
    diff = mean({res}No inter{txt}) - mean({res}Interfac{txt})                        t = {res} -0.6414
{txt}Ho: diff = 0                                     degrees of freedom = {res}     374

    {txt}Ha: diff < 0                 Ha: diff != 0                 Ha: diff > 0
 Pr(T < t) = {res}0.2608         {txt}Pr(|T| > |t|) = {res}0.5217          {txt}Pr(T > t) = {res}0.7392

{txt}Two-sample t test with equal variances
{hline 9}{c TT}{hline 68}
   Group{col 10}{c |}{col 16}Obs{col 27}Mean{col 35}Std. Err.{col 47}Std. Dev.{col 59}[95% Conf. Interval]
{hline 9}{c +}{hline 68}
 Control {c |}{res}{col 12}     95{col 22} .0068793{col 34} .0641158{col 46} .6249232{col 58} -.120424{col 70} .1341827
    {txt}Full {c |}{res}{col 12}     92{col 22}-.1137661{col 34} .0779395{col 46}  .747569{col 58}-.2685832{col 70}  .041051
{txt}{hline 9}{c +}{hline 68}
combined {c |}{res}{col 12}    187{col 22}-.0524756{col 34} .0503699{col 46} .6887975{col 58}-.1518453{col 70}  .046894
{txt}{hline 9}{c +}{hline 68}
    diff {c |}{res}{col 22} .1206454{col 34} .1006345{col 58}-.0778933{col 70} .3191842
{txt}{hline 9}{c BT}{hline 68}
    diff = mean({res}Control{txt}) - mean({res}Full{txt})                             t = {res}  1.1988
{txt}Ho: diff = 0                                     degrees of freedom = {res}     185

    {txt}Ha: diff < 0                 Ha: diff != 0                 Ha: diff > 0
 Pr(T < t) = {res}0.8839         {txt}Pr(|T| > |t|) = {res}0.2321          {txt}Pr(T > t) = {res}0.1161

{txt}Two-sample t test with equal variances
{hline 9}{c TT}{hline 68}
   Group{col 10}{c |}{col 16}Obs{col 27}Mean{col 35}Std. Err.{col 47}Std. Dev.{col 59}[95% Conf. Interval]
{hline 9}{c +}{hline 68}
 No info {c |}{res}{col 12}    192{col 22}-.0000804{col 34} .0440259{col 46} .6100409{col 58}-.0869198{col 70}  .086759
    {txt}Info {c |}{res}{col 12}    184{col 22} -.073253{col 34} .0506434{col 46} .6869604{col 58} -.173173{col 70}  .026667
{txt}{hline 9}{c +}{hline 68}
combined {c |}{res}{col 12}    376{col 22}-.0358883{col 34}  .033469{col 46} .6489871{col 58}-.1016986{col 70} .0299221
{txt}{hline 9}{c +}{hline 68}
    diff {c |}{res}{col 22} .0731726{col 34} .0669357{col 58}-.0584448{col 70}   .20479
{txt}{hline 9}{c BT}{hline 68}
    diff = mean({res}No info{txt}) - mean({res}Info{txt})                             t = {res}  1.0932
{txt}Ho: diff = 0                                     degrees of freedom = {res}     374

    {txt}Ha: diff < 0                 Ha: diff != 0                 Ha: diff > 0
 Pr(T < t) = {res}0.8625         {txt}Pr(|T| > |t|) = {res}0.2750          {txt}Pr(T > t) = {res}0.1375

{txt}Two-sample t test with equal variances
{hline 9}{c TT}{hline 68}
   Group{col 10}{c |}{col 16}Obs{col 27}Mean{col 35}Std. Err.{col 47}Std. Dev.{col 59}[95% Conf. Interval]
{hline 9}{c +}{hline 68}
No inter {c |}{res}{col 12}    187{col 22}-.0126125{col 34}  .045493{col 46} .6221074{col 58}-.1023611{col 70} .0771361
{txt}Interfac {c |}{res}{col 12}    189{col 22}-.0589177{col 34} .0491276{col 46}  .675393{col 58}-.1558299{col 70} .0379945
{txt}{hline 9}{c +}{hline 68}
combined {c |}{res}{col 12}    376{col 22}-.0358883{col 34}  .033469{col 46} .6489871{col 58}-.1016986{col 70} .0299221
{txt}{hline 9}{c +}{hline 68}
    diff {c |}{res}{col 22} .0463053{col 34} .0669855{col 58}-.0854101{col 70} .1780207
{txt}{hline 9}{c BT}{hline 68}
    diff = mean({res}No inter{txt}) - mean({res}Interfac{txt})                        t = {res}  0.6913
{txt}Ho: diff = 0                                     degrees of freedom = {res}     374

    {txt}Ha: diff < 0                 Ha: diff != 0                 Ha: diff > 0
 Pr(T < t) = {res}0.7551         {txt}Pr(|T| > |t|) = {res}0.4898          {txt}Pr(T > t) = {res}0.2449

{txt}Two-sample t test with equal variances
{hline 9}{c TT}{hline 68}
   Group{col 10}{c |}{col 16}Obs{col 27}Mean{col 35}Std. Err.{col 47}Std. Dev.{col 59}[95% Conf. Interval]
{hline 9}{c +}{hline 68}
 Control {c |}{res}{col 12}     95{col 22} 6.355502{col 34} .2278919{col 46} 2.221215{col 58} 5.903017{col 70} 6.807987
    {txt}Full {c |}{res}{col 12}     92{col 22} 6.164286{col 34} .2194922{col 46} 2.105295{col 58} 5.728292{col 70}  6.60028
{txt}{hline 9}{c +}{hline 68}
combined {c |}{res}{col 12}    187{col 22} 6.261428{col 34} .1580477{col 46}  2.16127{col 58} 5.949631{col 70} 6.573224
{txt}{hline 9}{c +}{hline 68}
    diff {c |}{res}{col 22} .1912157{col 34} .3166775{col 58}-.4335477{col 70} .8159792
{txt}{hline 9}{c BT}{hline 68}
    diff = mean({res}Control{txt}) - mean({res}Full{txt})                             t = {res}  0.6038
{txt}Ho: diff = 0                                     degrees of freedom = {res}     185

    {txt}Ha: diff < 0                 Ha: diff != 0                 Ha: diff > 0
 Pr(T < t) = {res}0.7266         {txt}Pr(|T| > |t|) = {res}0.5467          {txt}Pr(T > t) = {res}0.2734

{txt}Two-sample t test with equal variances
{hline 9}{c TT}{hline 68}
   Group{col 10}{c |}{col 16}Obs{col 27}Mean{col 35}Std. Err.{col 47}Std. Dev.{col 59}[95% Conf. Interval]
{hline 9}{c +}{hline 68}
 No info {c |}{res}{col 12}    192{col 22} 6.412719{col 34} .1512377{col 46} 2.095611{col 58} 6.114408{col 70}  6.71103
    {txt}Info {c |}{res}{col 12}    184{col 22} 6.175762{col 34}  .154114{col 46} 2.090504{col 58} 5.871694{col 70} 6.479831
{txt}{hline 9}{c +}{hline 68}
combined {c |}{res}{col 12}    376{col 22} 6.296761{col 34} .1079735{col 46} 2.093683{col 58} 6.084452{col 70} 6.509071
{txt}{hline 9}{c +}{hline 68}
    diff {c |}{res}{col 22} .2369568{col 34}  .215937{col 58}-.1876461{col 70} .6615597
{txt}{hline 9}{c BT}{hline 68}
    diff = mean({res}No info{txt}) - mean({res}Info{txt})                             t = {res}  1.0973
{txt}Ho: diff = 0                                     degrees of freedom = {res}     374

    {txt}Ha: diff < 0                 Ha: diff != 0                 Ha: diff > 0
 Pr(T < t) = {res}0.8634         {txt}Pr(|T| > |t|) = {res}0.2732          {txt}Pr(T > t) = {res}0.1366

{txt}Two-sample t test with equal variances
{hline 9}{c TT}{hline 68}
   Group{col 10}{c |}{col 16}Obs{col 27}Mean{col 35}Std. Err.{col 47}Std. Dev.{col 59}[95% Conf. Interval]
{hline 9}{c +}{hline 68}
No inter {c |}{res}{col 12}    187{col 22}  6.27272{col 34} .1573791{col 46} 2.152127{col 58} 5.962242{col 70} 6.583197
{txt}Interfac {c |}{res}{col 12}    189{col 22} 6.320549{col 34} .1483628{col 46} 2.039652{col 58} 6.027879{col 70} 6.613218
{txt}{hline 9}{c +}{hline 68}
combined {c |}{res}{col 12}    376{col 22} 6.296761{col 34} .1079735{col 46} 2.093683{col 58} 6.084452{col 70} 6.509071
{txt}{hline 9}{c +}{hline 68}
    diff {c |}{res}{col 22}-.0478289{col 34} .2162243{col 58}-.4729967{col 70} .3773389
{txt}{hline 9}{c BT}{hline 68}
    diff = mean({res}No inter{txt}) - mean({res}Interfac{txt})                        t = {res} -0.2212
{txt}Ho: diff = 0                                     degrees of freedom = {res}     374

    {txt}Ha: diff < 0                 Ha: diff != 0                 Ha: diff > 0
 Pr(T < t) = {res}0.4125         {txt}Pr(|T| > |t|) = {res}0.8251          {txt}Pr(T > t) = {res}0.5875

{txt}Two-sample t test with equal variances
{hline 9}{c TT}{hline 68}
   Group{col 10}{c |}{col 16}Obs{col 27}Mean{col 35}Std. Err.{col 47}Std. Dev.{col 59}[95% Conf. Interval]
{hline 9}{c +}{hline 68}
 Control {c |}{res}{col 12}     95{col 22} .7695945{col 34} .0064368{col 46} .0627383{col 58} .7568141{col 70} .7823749
    {txt}Full {c |}{res}{col 12}     92{col 22} .7908383{col 34} .0053215{col 46} .0510418{col 58} .7802678{col 70} .8014087
{txt}{hline 9}{c +}{hline 68}
combined {c |}{res}{col 12}    187{col 22}  .780046{col 34} .0042497{col 46} .0581139{col 58} .7716622{col 70} .7884298
{txt}{hline 9}{c +}{hline 68}
    diff {c |}{res}{col 22}-.0212438{col 34} .0083791{col 58}-.0377747{col 70}-.0047128
{txt}{hline 9}{c BT}{hline 68}
    diff = mean({res}Control{txt}) - mean({res}Full{txt})                             t = {res} -2.5353
{txt}Ho: diff = 0                                     degrees of freedom = {res}     185

    {txt}Ha: diff < 0                 Ha: diff != 0                 Ha: diff > 0
 Pr(T < t) = {res}0.0060         {txt}Pr(|T| > |t|) = {res}0.0121          {txt}Pr(T > t) = {res}0.9940

{txt}Two-sample t test with equal variances
{hline 9}{c TT}{hline 68}
   Group{col 10}{c |}{col 16}Obs{col 27}Mean{col 35}Std. Err.{col 47}Std. Dev.{col 59}[95% Conf. Interval]
{hline 9}{c +}{hline 68}
 No info {c |}{res}{col 12}    192{col 22}  .773818{col 34} .0044157{col 46} .0611863{col 58} .7651081{col 70} .7825279
    {txt}Info {c |}{res}{col 12}    184{col 22} .7807578{col 34} .0045295{col 46} .0614413{col 58}  .771821{col 70} .7896946
{txt}{hline 9}{c +}{hline 68}
combined {c |}{res}{col 12}    376{col 22} .7772141{col 34} .0031627{col 46} .0613279{col 58} .7709951{col 70}  .783433
{txt}{hline 9}{c +}{hline 68}
    diff {c |}{res}{col 22}-.0069398{col 34} .0063252{col 58}-.0193772{col 70} .0054976
{txt}{hline 9}{c BT}{hline 68}
    diff = mean({res}No info{txt}) - mean({res}Info{txt})                             t = {res} -1.0972
{txt}Ho: diff = 0                                     degrees of freedom = {res}     374

    {txt}Ha: diff < 0                 Ha: diff != 0                 Ha: diff > 0
 Pr(T < t) = {res}0.1366         {txt}Pr(|T| > |t|) = {res}0.2733          {txt}Pr(T > t) = {res}0.8634

{txt}Two-sample t test with equal variances
{hline 9}{c TT}{hline 68}
   Group{col 10}{c |}{col 16}Obs{col 27}Mean{col 35}Std. Err.{col 47}Std. Dev.{col 59}[95% Conf. Interval]
{hline 9}{c +}{hline 68}
No inter {c |}{res}{col 12}    187{col 22} .7701272{col 34} .0048111{col 46} .0657914{col 58} .7606358{col 70} .7796186
{txt}Interfac {c |}{res}{col 12}    189{col 22} .7842259{col 34} .0040632{col 46} .0558602{col 58} .7762105{col 70} .7922413
{txt}{hline 9}{c +}{hline 68}
combined {c |}{res}{col 12}    376{col 22} .7772141{col 34} .0031627{col 46} .0613279{col 58} .7709951{col 70}  .783433
{txt}{hline 9}{c +}{hline 68}
    diff {c |}{res}{col 22}-.0140987{col 34} .0062919{col 58}-.0264707{col 70}-.0017267
{txt}{hline 9}{c BT}{hline 68}
    diff = mean({res}No inter{txt}) - mean({res}Interfac{txt})                        t = {res} -2.2408
{txt}Ho: diff = 0                                     degrees of freedom = {res}     374

    {txt}Ha: diff < 0                 Ha: diff != 0                 Ha: diff > 0
 Pr(T < t) = {res}0.0128         {txt}Pr(|T| > |t|) = {res}0.0256          {txt}Pr(T > t) = {res}0.9872

{txt}Two-sample t test with equal variances
{hline 9}{c TT}{hline 68}
   Group{col 10}{c |}{col 16}Obs{col 27}Mean{col 35}Std. Err.{col 47}Std. Dev.{col 59}[95% Conf. Interval]
{hline 9}{c +}{hline 68}
 Control {c |}{res}{col 12}     95{col 22} .7577536{col 34} .0060087{col 46}  .058566{col 58} .7458231{col 70} .7696841
    {txt}Full {c |}{res}{col 12}     92{col 22} .7801722{col 34} .0064839{col 46} .0621909{col 58} .7672928{col 70} .7930516
{txt}{hline 9}{c +}{hline 68}
combined {c |}{res}{col 12}    187{col 22} .7687831{col 34} .0044793{col 46} .0612535{col 58} .7599463{col 70} .7776198
{txt}{hline 9}{c +}{hline 68}
    diff {c |}{res}{col 22}-.0224186{col 34} .0088314{col 58}-.0398419{col 70}-.0049954
{txt}{hline 9}{c BT}{hline 68}
    diff = mean({res}Control{txt}) - mean({res}Full{txt})                             t = {res} -2.5385
{txt}Ho: diff = 0                                     degrees of freedom = {res}     185

    {txt}Ha: diff < 0                 Ha: diff != 0                 Ha: diff > 0
 Pr(T < t) = {res}0.0060         {txt}Pr(|T| > |t|) = {res}0.0120          {txt}Pr(T > t) = {res}0.9940

{txt}Two-sample t test with equal variances
{hline 9}{c TT}{hline 68}
   Group{col 10}{c |}{col 16}Obs{col 27}Mean{col 35}Std. Err.{col 47}Std. Dev.{col 59}[95% Conf. Interval]
{hline 9}{c +}{hline 68}
 No info {c |}{res}{col 12}    192{col 22} .7652104{col 34} .0042522{col 46}   .05892{col 58} .7568232{col 70} .7735977
    {txt}Info {c |}{res}{col 12}    184{col 22} .7786707{col 34} .0045849{col 46}  .062192{col 58} .7696247{col 70} .7877166
{txt}{hline 9}{c +}{hline 68}
combined {c |}{res}{col 12}    376{col 22} .7717974{col 34} .0031374{col 46} .0608366{col 58} .7656283{col 70} .7779665
{txt}{hline 9}{c +}{hline 68}
    diff {c |}{res}{col 22}-.0134602{col 34}  .006246{col 58}-.0257418{col 70}-.0011786
{txt}{hline 9}{c BT}{hline 68}
    diff = mean({res}No info{txt}) - mean({res}Info{txt})                             t = {res} -2.1550
{txt}Ho: diff = 0                                     degrees of freedom = {res}     374

    {txt}Ha: diff < 0                 Ha: diff != 0                 Ha: diff > 0
 Pr(T < t) = {res}0.0159         {txt}Pr(|T| > |t|) = {res}0.0318          {txt}Pr(T > t) = {res}0.9841

{txt}Two-sample t test with equal variances
{hline 9}{c TT}{hline 68}
   Group{col 10}{c |}{col 16}Obs{col 27}Mean{col 35}Std. Err.{col 47}Std. Dev.{col 59}[95% Conf. Interval]
{hline 9}{c +}{hline 68}
No inter {c |}{res}{col 12}    187{col 22} .7673056{col 34} .0044716{col 46} .0611483{col 58}  .758484{col 70} .7761272
{txt}Interfac {c |}{res}{col 12}    189{col 22} .7762416{col 34} .0043905{col 46} .0603592{col 58} .7675806{col 70} .7849025
{txt}{hline 9}{c +}{hline 68}
combined {c |}{res}{col 12}    376{col 22} .7717974{col 34} .0031374{col 46} .0608366{col 58} .7656283{col 70} .7779665
{txt}{hline 9}{c +}{hline 68}
    diff {c |}{res}{col 22} -.008936{col 34} .0062663{col 58}-.0212575{col 70} .0033856
{txt}{hline 9}{c BT}{hline 68}
    diff = mean({res}No inter{txt}) - mean({res}Interfac{txt})                        t = {res} -1.4260
{txt}Ho: diff = 0                                     degrees of freedom = {res}     374

    {txt}Ha: diff < 0                 Ha: diff != 0                 Ha: diff > 0
 Pr(T < t) = {res}0.0773         {txt}Pr(|T| > |t|) = {res}0.1547          {txt}Pr(T > t) = {res}0.9227

{txt}Two-sample t test with equal variances
{hline 9}{c TT}{hline 68}
   Group{col 10}{c |}{col 16}Obs{col 27}Mean{col 35}Std. Err.{col 47}Std. Dev.{col 59}[95% Conf. Interval]
{hline 9}{c +}{hline 68}
 Control {c |}{res}{col 12}     95{col 22} 1.082195{col 34} .0357446{col 46} .3483953{col 58} 1.011223{col 70} 1.153166
    {txt}Full {c |}{res}{col 12}     92{col 22} 1.074485{col 34} .0247096{col 46} .2370059{col 58} 1.025402{col 70} 1.123567
{txt}{hline 9}{c +}{hline 68}
combined {c |}{res}{col 12}    187{col 22} 1.078401{col 34} .0217962{col 46} .2980588{col 58} 1.035402{col 70} 1.121401
{txt}{hline 9}{c +}{hline 68}
    diff {c |}{res}{col 22} .0077099{col 34}  .043712{col 58}-.0785282{col 70} .0939481
{txt}{hline 9}{c BT}{hline 68}
    diff = mean({res}Control{txt}) - mean({res}Full{txt})                             t = {res}  0.1764
{txt}Ho: diff = 0                                     degrees of freedom = {res}     185

    {txt}Ha: diff < 0                 Ha: diff != 0                 Ha: diff > 0
 Pr(T < t) = {res}0.5699         {txt}Pr(|T| > |t|) = {res}0.8602          {txt}Pr(T > t) = {res}0.4301

{txt}Two-sample t test with equal variances
{hline 9}{c TT}{hline 68}
   Group{col 10}{c |}{col 16}Obs{col 27}Mean{col 35}Std. Err.{col 47}Std. Dev.{col 59}[95% Conf. Interval]
{hline 9}{c +}{hline 68}
 No info {c |}{res}{col 12}    192{col 22} 1.070172{col 34} .0214068{col 46}  .296621{col 58} 1.027948{col 70} 1.112396
    {txt}Info {c |}{res}{col 12}    184{col 22} 1.063046{col 34} .0183294{col 46}  .248632{col 58} 1.026882{col 70}  1.09921
{txt}{hline 9}{c +}{hline 68}
combined {c |}{res}{col 12}    376{col 22} 1.066685{col 34} .0141227{col 46} .2738486{col 58} 1.038915{col 70} 1.094454
{txt}{hline 9}{c +}{hline 68}
    diff {c |}{res}{col 22} .0071265{col 34} .0282871{col 58}-.0484951{col 70} .0627481
{txt}{hline 9}{c BT}{hline 68}
    diff = mean({res}No info{txt}) - mean({res}Info{txt})                             t = {res}  0.2519
{txt}Ho: diff = 0                                     degrees of freedom = {res}     374

    {txt}Ha: diff < 0                 Ha: diff != 0                 Ha: diff > 0
 Pr(T < t) = {res}0.5994         {txt}Pr(|T| > |t|) = {res}0.8012          {txt}Pr(T > t) = {res}0.4006

{txt}Two-sample t test with equal variances
{hline 9}{c TT}{hline 68}
   Group{col 10}{c |}{col 16}Obs{col 27}Mean{col 35}Std. Err.{col 47}Std. Dev.{col 59}[95% Conf. Interval]
{hline 9}{c +}{hline 68}
No inter {c |}{res}{col 12}    187{col 22} 1.067146{col 34}  .022514{col 46} .3078746{col 58}  1.02273{col 70} 1.111562
{txt}Interfac {c |}{res}{col 12}    189{col 22} 1.066228{col 34} .0171838{col 46} .2362379{col 58} 1.032331{col 70} 1.100126
{txt}{hline 9}{c +}{hline 68}
combined {c |}{res}{col 12}    376{col 22} 1.066685{col 34} .0141227{col 46} .2738486{col 58} 1.038915{col 70} 1.094454
{txt}{hline 9}{c +}{hline 68}
    diff {c |}{res}{col 22} .0009176{col 34} .0282834{col 58}-.0546968{col 70} .0565321
{txt}{hline 9}{c BT}{hline 68}
    diff = mean({res}No inter{txt}) - mean({res}Interfac{txt})                        t = {res}  0.0324
{txt}Ho: diff = 0                                     degrees of freedom = {res}     374

    {txt}Ha: diff < 0                 Ha: diff != 0                 Ha: diff > 0
 Pr(T < t) = {res}0.5129         {txt}Pr(|T| > |t|) = {res}0.9741          {txt}Pr(T > t) = {res}0.4871

{txt}Two-sample t test with equal variances
{hline 9}{c TT}{hline 68}
   Group{col 10}{c |}{col 16}Obs{col 27}Mean{col 35}Std. Err.{col 47}Std. Dev.{col 59}[95% Conf. Interval]
{hline 9}{c +}{hline 68}
 Control {c |}{res}{col 12}     95{col 22} .0627555{col 34} .0057523{col 46} .0560661{col 58} .0513343{col 70} .0741768
    {txt}Full {c |}{res}{col 12}     92{col 22} .0545869{col 34} .0055715{col 46} .0534397{col 58} .0435198{col 70} .0656539
{txt}{hline 9}{c +}{hline 68}
combined {c |}{res}{col 12}    187{col 22} .0587367{col 34} .0040071{col 46} .0547957{col 58} .0508316{col 70} .0666418
{txt}{hline 9}{c +}{hline 68}
    diff {c |}{res}{col 22} .0081687{col 34} .0080143{col 58}-.0076425{col 70} .0239798
{txt}{hline 9}{c BT}{hline 68}
    diff = mean({res}Control{txt}) - mean({res}Full{txt})                             t = {res}  1.0193
{txt}Ho: diff = 0                                     degrees of freedom = {res}     185

    {txt}Ha: diff < 0                 Ha: diff != 0                 Ha: diff > 0
 Pr(T < t) = {res}0.8453         {txt}Pr(|T| > |t|) = {res}0.3094          {txt}Pr(T > t) = {res}0.1547

{txt}Two-sample t test with equal variances
{hline 9}{c TT}{hline 68}
   Group{col 10}{c |}{col 16}Obs{col 27}Mean{col 35}Std. Err.{col 47}Std. Dev.{col 59}[95% Conf. Interval]
{hline 9}{c +}{hline 68}
 No info {c |}{res}{col 12}    192{col 22} .0596807{col 34} .0041264{col 46} .0571774{col 58} .0515415{col 70} .0678199
    {txt}Info {c |}{res}{col 12}    184{col 22} .0506353{col 34} .0038886{col 46} .0527471{col 58} .0429631{col 70} .0583075
{txt}{hline 9}{c +}{hline 68}
combined {c |}{res}{col 12}    376{col 22} .0552542{col 34}  .002845{col 46} .0551668{col 58} .0496601{col 70} .0608484
{txt}{hline 9}{c +}{hline 68}
    diff {c |}{res}{col 22} .0090454{col 34} .0056797{col 58}-.0021227{col 70} .0202135
{txt}{hline 9}{c BT}{hline 68}
    diff = mean({res}No info{txt}) - mean({res}Info{txt})                             t = {res}  1.5926
{txt}Ho: diff = 0                                     degrees of freedom = {res}     374

    {txt}Ha: diff < 0                 Ha: diff != 0                 Ha: diff > 0
 Pr(T < t) = {res}0.9440         {txt}Pr(|T| > |t|) = {res}0.1121          {txt}Pr(T > t) = {res}0.0560

{txt}Two-sample t test with equal variances
{hline 9}{c TT}{hline 68}
   Group{col 10}{c |}{col 16}Obs{col 27}Mean{col 35}Std. Err.{col 47}Std. Dev.{col 59}[95% Conf. Interval]
{hline 9}{c +}{hline 68}
No inter {c |}{res}{col 12}    187{col 22} .0548486{col 34} .0039908{col 46} .0545734{col 58} .0469755{col 70} .0627216
{txt}Interfac {c |}{res}{col 12}    189{col 22} .0556556{col 34} .0040654{col 46} .0558899{col 58}  .047636{col 70} .0636753
{txt}{hline 9}{c +}{hline 68}
combined {c |}{res}{col 12}    376{col 22} .0552542{col 34}  .002845{col 46} .0551668{col 58} .0496601{col 70} .0608484
{txt}{hline 9}{c +}{hline 68}
    diff {c |}{res}{col 22}-.0008071{col 34} .0056976{col 58}-.0120103{col 70} .0103962
{txt}{hline 9}{c BT}{hline 68}
    diff = mean({res}No inter{txt}) - mean({res}Interfac{txt})                        t = {res} -0.1417
{txt}Ho: diff = 0                                     degrees of freedom = {res}     374

    {txt}Ha: diff < 0                 Ha: diff != 0                 Ha: diff > 0
 Pr(T < t) = {res}0.4437         {txt}Pr(|T| > |t|) = {res}0.8874          {txt}Pr(T > t) = {res}0.5563
{txt}
{com}.         
.         restore
{txt}
{com}.         
.         * B & D. Midline/Endline levels of intermediate outcome indices
.         
.         * We need to compute the different rate unstandardized
.         
.         * Citizen knowledge
.         
.         egen m_ctzknow=rowmean(m_numrights_hh m_numresp_hh m_services_hh)       
{txt}(836 missing values generated)

{com}.         
.         egen e_ctzknow=rowmean(e_numrights_hh e_numresp_hh e_services_hh)
{txt}(686 missing values generated)

{com}.                 
.         * Healthcare provider knowledge
.         
.         egen m_h_hcpknow=rowmean(m_h_numrights m_h_numresp)     
{txt}(836 missing values generated)

{com}.         
.         egen e_h_hcpknow=rowmean(e_h_numrights e_h_numresp)
{txt}(686 missing values generated)

{com}.         
.         * Efficacy
.         
.         egen m_eff=rowmean(m_power m_pressure_effort m_pressure_report m_influence m_peoplesay_gov m_peoplesay_hc)
{txt}(836 missing values generated)

{com}.         
.         egen e_eff=rowmean(e_power e_pressure_effort e_pressure_report e_influence e_peoplesay_gov e_peoplesay_hc)
{txt}(686 missing values generated)

{com}.         
.         * Community Responsibility
.         
.         egen m_commresp=rowmean(m_responsible m_commembers_resp)        
{txt}(836 missing values generated)

{com}.         
.         egen e_commresp=rowmean(e_responsible e_commembers_resp)        
{txt}(686 missing values generated)

{com}.         
.         * Relation HH/HC
.         
.         egen m_relhhhc=rowmean(m_sat_rel m_trust_hw m_h_satisfiedrel m_complain)
{txt}(836 missing values generated)

{com}.         
.         egen e_relhhhc=rowmean(e_sat_rel e_trust_hw e_h_satisfiedrel e_complain)
{txt}(686 missing values generated)

{com}.         
.         * HC Transparency
.         
.         egen m_h_hctrans=rowmean(m_h_opening_posters m_h_dutyroster m_h_sugbox m_h_infoservice m_h_infoprights) 
{txt}(836 missing values generated)

{com}.         
.         egen e_h_hctrans=rowmean(e_h_opening_posters e_h_dutyroster e_h_sugbox e_h_infoservice e_h_infoprights) 
{txt}(686 missing values generated)

{com}.         
.         * We create the local
.         
.         local m_variable m_ctzknow m_h_hcpknow m_eff m_commresp m_relhhhc m_h_hctrans
{txt}
{com}.         
.         local m_variable_mean
{txt}
{com}.         
.         foreach var of local m_variable{c -(}
{txt}  2{com}.                 
.         * We compute the mean at HC level
.         
.         byso hc_id : egen `var'_mean = mean(`var')
{txt}  3{com}.         
.         local m_variable_mean `m_variable_mean' `var'_mean
{txt}  4{com}.         
.         {c )-}
{txt}
{com}.         
.         local e_variable e_ctzknow e_h_hcpknow e_eff e_commresp e_relhhhc e_h_hctrans
{txt}
{com}.         
.         local e_variable_mean
{txt}
{com}.         
.         foreach var of local e_variable{c -(}
{txt}  2{com}.                 
.         * We compute the mean at HC level
.         
.         byso hc_id : egen `var'_mean = mean(`var')
{txt}  3{com}.         
.         local e_variable_mean `e_variable_mean' `var'_mean
{txt}  4{com}.         
.         {c )-}
{txt}
{com}.         
.         * At midline
.         
.         * We keep the right variable
.         
.         preserve
{txt}
{com}.         
.         keep hc_id treatment treatfull treatinter treatinfo uniquehc `m_variable_mean'
{txt}
{com}.         
.         foreach var of local m_variable_mean {c -(}
{txt}  2{com}.         
.         * Treatment group
.         
.         qui sum `var' if treatment == 1 & uniquehc == 1
{txt}  3{com}.         
.         local mean_t_`var' = string(`r(mean)',"%9.2fc")
{txt}  4{com}.         
.         * Info group
.         
.         qui sum `var' if treatment == 2 & uniquehc == 1
{txt}  5{com}.         
.         local mean_inf_`var' = string(`r(mean)',"%9.2fc")
{txt}  6{com}.                 
.         * Inter group
.         
.         qui sum `var' if treatment == 3 & uniquehc == 1
{txt}  7{com}.         
.         local mean_int_`var' = string(`r(mean)',"%9.2fc")
{txt}  8{com}.                 
.         * Control group
.         
.         qui sum `var' if treatment == 4 & uniquehc == 1
{txt}  9{com}.         
.         local mean_c_`var' = string(`r(mean)',"%9.2fc")
{txt} 10{com}.         
.         * Difference Treatment - Control
.         
.         ttest `var' if uniquehc == 1, by(treatfull)
{txt} 11{com}.         
.         local m_diff_tc_`var' = `r(mu_1)' - `r(mu_2)'
{txt} 12{com}.         
.         local p_diff_tc_`var' = (2 * ttail(`r(df_t)', abs(`m_diff_tc_`var''/`r(se)')))
{txt} 13{com}.         
.         local p_diff_tc_`var' = string(`p_diff_tc_`var'',"%9.2fc")
{txt} 14{com}.         
.         * Difference Info - no Info
.         
.         ttest `var' if uniquehc == 1, by(treatinfo)
{txt} 15{com}.         
.         local m_diff_info_`var' = `r(mu_1)' - `r(mu_2)'
{txt} 16{com}.         
.         local p_diff_info_`var' = (2 * ttail(`r(df_t)', abs(`m_diff_info_`var''/`r(se)')))
{txt} 17{com}.         
.         local p_diff_info_`var' = string(`p_diff_info_`var'',"%9.2fc")
{txt} 18{com}.         
.         * Difference Inter - no Inter
.         
.         ttest `var' if uniquehc == 1, by(treatinter)
{txt} 19{com}.         
.         local m_diff_inter_`var' = `r(mu_1)' - `r(mu_2)'
{txt} 20{com}.         
.         local p_diff_inter_`var' = (2 * ttail(`r(df_t)', abs(`m_diff_inter_`var''/`r(se)')))
{txt} 21{com}.         
.         local p_diff_inter_`var' = string(`p_diff_inter_`var'',"%9.2fc")
{txt} 22{com}.         
.         {c )-}

{txt}Two-sample t test with equal variances
{hline 9}{c TT}{hline 68}
   Group{col 10}{c |}{col 16}Obs{col 27}Mean{col 35}Std. Err.{col 47}Std. Dev.{col 59}[95% Conf. Interval]
{hline 9}{c +}{hline 68}
 Control {c |}{res}{col 12}     95{col 22} .4009966{col 34} .0065996{col 46} .0643247{col 58}  .387893{col 70} .4141002
    {txt}Full {c |}{res}{col 12}     92{col 22} .3990403{col 34} .0071886{col 46} .0689502{col 58} .3847611{col 70} .4133195
{txt}{hline 9}{c +}{hline 68}
combined {c |}{res}{col 12}    187{col 22} .4000342{col 34} .0048606{col 46} .0664679{col 58} .3904451{col 70} .4096232
{txt}{hline 9}{c +}{hline 68}
    diff {c |}{res}{col 22} .0019563{col 34} .0097477{col 58}-.0172745{col 70} .0211872
{txt}{hline 9}{c BT}{hline 68}
    diff = mean({res}Control{txt}) - mean({res}Full{txt})                             t = {res}  0.2007
{txt}Ho: diff = 0                                     degrees of freedom = {res}     185

    {txt}Ha: diff < 0                 Ha: diff != 0                 Ha: diff > 0
 Pr(T < t) = {res}0.5794         {txt}Pr(|T| > |t|) = {res}0.8412          {txt}Pr(T > t) = {res}0.4206

{txt}Two-sample t test with equal variances
{hline 9}{c TT}{hline 68}
   Group{col 10}{c |}{col 16}Obs{col 27}Mean{col 35}Std. Err.{col 47}Std. Dev.{col 59}[95% Conf. Interval]
{hline 9}{c +}{hline 68}
 No info {c |}{res}{col 12}    192{col 22} .3980578{col 34}   .00456{col 46} .0631852{col 58} .3890634{col 70} .4070523
    {txt}Info {c |}{res}{col 12}    184{col 22} .3969883{col 34} .0050734{col 46} .0688196{col 58} .3869784{col 70} .4069983
{txt}{hline 9}{c +}{hline 68}
combined {c |}{res}{col 12}    376{col 22} .3975345{col 34} .0033994{col 46} .0659164{col 58} .3908502{col 70} .4042187
{txt}{hline 9}{c +}{hline 68}
    diff {c |}{res}{col 22} .0010695{col 34} .0068092{col 58}-.0123195{col 70} .0144585
{txt}{hline 9}{c BT}{hline 68}
    diff = mean({res}No info{txt}) - mean({res}Info{txt})                             t = {res}  0.1571
{txt}Ho: diff = 0                                     degrees of freedom = {res}     374

    {txt}Ha: diff < 0                 Ha: diff != 0                 Ha: diff > 0
 Pr(T < t) = {res}0.5624         {txt}Pr(|T| > |t|) = {res}0.8753          {txt}Pr(T > t) = {res}0.4376

{txt}Two-sample t test with equal variances
{hline 9}{c TT}{hline 68}
   Group{col 10}{c |}{col 16}Obs{col 27}Mean{col 35}Std. Err.{col 47}Std. Dev.{col 59}[95% Conf. Interval]
{hline 9}{c +}{hline 68}
No inter {c |}{res}{col 12}    187{col 22} .3980151{col 34} .0048672{col 46} .0665578{col 58} .3884131{col 70} .4076171
{txt}Interfac {c |}{res}{col 12}    189{col 22} .3970589{col 34} .0047607{col 46} .0654489{col 58} .3876676{col 70} .4064501
{txt}{hline 9}{c +}{hline 68}
combined {c |}{res}{col 12}    376{col 22} .3975345{col 34} .0033994{col 46} .0659164{col 58} .3908502{col 70} .4042187
{txt}{hline 9}{c +}{hline 68}
    diff {c |}{res}{col 22} .0009562{col 34} .0068078{col 58}  -.01243{col 70} .0143425
{txt}{hline 9}{c BT}{hline 68}
    diff = mean({res}No inter{txt}) - mean({res}Interfac{txt})                        t = {res}  0.1405
{txt}Ho: diff = 0                                     degrees of freedom = {res}     374

    {txt}Ha: diff < 0                 Ha: diff != 0                 Ha: diff > 0
 Pr(T < t) = {res}0.5558         {txt}Pr(|T| > |t|) = {res}0.8884          {txt}Pr(T > t) = {res}0.4442

{txt}Two-sample t test with equal variances
{hline 9}{c TT}{hline 68}
   Group{col 10}{c |}{col 16}Obs{col 27}Mean{col 35}Std. Err.{col 47}Std. Dev.{col 59}[95% Conf. Interval]
{hline 9}{c +}{hline 68}
 Control {c |}{res}{col 12}     95{col 22} .3838597{col 34} .0166073{col 46} .1618676{col 58} .3508855{col 70} .4168338
    {txt}Full {c |}{res}{col 12}     92{col 22} .4003623{col 34} .0155165{col 46} .1488294{col 58} .3695406{col 70}  .431184
{txt}{hline 9}{c +}{hline 68}
combined {c |}{res}{col 12}    187{col 22} .3919786{col 34} .0113634{col 46} .1553923{col 58} .3695609{col 70} .4143964
{txt}{hline 9}{c +}{hline 68}
    diff {c |}{res}{col 22}-.0165027{col 34} .0227588{col 58}-.0614028{col 70} .0283974
{txt}{hline 9}{c BT}{hline 68}
    diff = mean({res}Control{txt}) - mean({res}Full{txt})                             t = {res} -0.7251
{txt}Ho: diff = 0                                     degrees of freedom = {res}     185

    {txt}Ha: diff < 0                 Ha: diff != 0                 Ha: diff > 0
 Pr(T < t) = {res}0.2346         {txt}Pr(|T| > |t|) = {res}0.4693          {txt}Pr(T > t) = {res}0.7654

{txt}Two-sample t test with equal variances
{hline 9}{c TT}{hline 68}
   Group{col 10}{c |}{col 16}Obs{col 27}Mean{col 35}Std. Err.{col 47}Std. Dev.{col 59}[95% Conf. Interval]
{hline 9}{c +}{hline 68}
 No info {c |}{res}{col 12}    192{col 22} .3765625{col 34} .0122029{col 46} .1690879{col 58} .3524928{col 70} .4006322
    {txt}Info {c |}{res}{col 12}    184{col 22} .3893116{col 34} .0116848{col 46} .1585001{col 58} .3662574{col 70} .4123658
{txt}{hline 9}{c +}{hline 68}
combined {c |}{res}{col 12}    376{col 22} .3828014{col 34} .0084524{col 46} .1638981{col 58} .3661814{col 70} .3994215
{txt}{hline 9}{c +}{hline 68}
    diff {c |}{res}{col 22}-.0127491{col 34} .0169184{col 58}-.0460162{col 70}  .020518
{txt}{hline 9}{c BT}{hline 68}
    diff = mean({res}No info{txt}) - mean({res}Info{txt})                             t = {res} -0.7536
{txt}Ho: diff = 0                                     degrees of freedom = {res}     374

    {txt}Ha: diff < 0                 Ha: diff != 0                 Ha: diff > 0
 Pr(T < t) = {res}0.2258         {txt}Pr(|T| > |t|) = {res}0.4516          {txt}Pr(T > t) = {res}0.7742

{txt}Two-sample t test with equal variances
{hline 9}{c TT}{hline 68}
   Group{col 10}{c |}{col 16}Obs{col 27}Mean{col 35}Std. Err.{col 47}Std. Dev.{col 59}[95% Conf. Interval]
{hline 9}{c +}{hline 68}
No inter {c |}{res}{col 12}    187{col 22} .3811052{col 34}  .012018{col 46} .1643431{col 58} .3573962{col 70} .4048142
{txt}Interfac {c |}{res}{col 12}    189{col 22} .3844797{col 34} .0119202{col 46} .1638758{col 58} .3609652{col 70} .4079943
{txt}{hline 9}{c +}{hline 68}
combined {c |}{res}{col 12}    376{col 22} .3828014{col 34} .0084524{col 46} .1638981{col 58} .3661814{col 70} .3994215
{txt}{hline 9}{c +}{hline 68}
    diff {c |}{res}{col 22}-.0033745{col 34} .0169267{col 58} -.036658{col 70} .0299089
{txt}{hline 9}{c BT}{hline 68}
    diff = mean({res}No inter{txt}) - mean({res}Interfac{txt})                        t = {res} -0.1994
{txt}Ho: diff = 0                                     degrees of freedom = {res}     374

    {txt}Ha: diff < 0                 Ha: diff != 0                 Ha: diff > 0
 Pr(T < t) = {res}0.4210         {txt}Pr(|T| > |t|) = {res}0.8421          {txt}Pr(T > t) = {res}0.5790

{txt}Two-sample t test with equal variances
{hline 9}{c TT}{hline 68}
   Group{col 10}{c |}{col 16}Obs{col 27}Mean{col 35}Std. Err.{col 47}Std. Dev.{col 59}[95% Conf. Interval]
{hline 9}{c +}{hline 68}
 Control {c |}{res}{col 12}     95{col 22} .6305314{col 34} .0071926{col 46} .0701047{col 58} .6162503{col 70} .6448124
    {txt}Full {c |}{res}{col 12}     92{col 22} .6446386{col 34} .0070577{col 46} .0676949{col 58} .6306194{col 70} .6586578
{txt}{hline 9}{c +}{hline 68}
combined {c |}{res}{col 12}    187{col 22} .6374718{col 34} .0050536{col 46} .0691071{col 58} .6275021{col 70} .6474416
{txt}{hline 9}{c +}{hline 68}
    diff {c |}{res}{col 22}-.0141072{col 34} .0100826{col 58}-.0339989{col 70} .0057844
{txt}{hline 9}{c BT}{hline 68}
    diff = mean({res}Control{txt}) - mean({res}Full{txt})                             t = {res} -1.3992
{txt}Ho: diff = 0                                     degrees of freedom = {res}     185

    {txt}Ha: diff < 0                 Ha: diff != 0                 Ha: diff > 0
 Pr(T < t) = {res}0.0817         {txt}Pr(|T| > |t|) = {res}0.1634          {txt}Pr(T > t) = {res}0.9183

{txt}Two-sample t test with equal variances
{hline 9}{c TT}{hline 68}
   Group{col 10}{c |}{col 16}Obs{col 27}Mean{col 35}Std. Err.{col 47}Std. Dev.{col 59}[95% Conf. Interval]
{hline 9}{c +}{hline 68}
 No info {c |}{res}{col 12}    192{col 22} .6379121{col 34} .0052802{col 46} .0731647{col 58} .6274971{col 70} .6483271
    {txt}Info {c |}{res}{col 12}    184{col 22} .6405834{col 34} .0053452{col 46} .0725065{col 58} .6300372{col 70} .6511296
{txt}{hline 9}{c +}{hline 68}
combined {c |}{res}{col 12}    376{col 22} .6392193{col 34} .0037522{col 46} .0727585{col 58} .6318413{col 70} .6465974
{txt}{hline 9}{c +}{hline 68}
    diff {c |}{res}{col 22}-.0026713{col 34} .0075149{col 58}-.0174481{col 70} .0121055
{txt}{hline 9}{c BT}{hline 68}
    diff = mean({res}No info{txt}) - mean({res}Info{txt})                             t = {res} -0.3555
{txt}Ho: diff = 0                                     degrees of freedom = {res}     374

    {txt}Ha: diff < 0                 Ha: diff != 0                 Ha: diff > 0
 Pr(T < t) = {res}0.3612         {txt}Pr(|T| > |t|) = {res}0.7224          {txt}Pr(T > t) = {res}0.6388

{txt}Two-sample t test with equal variances
{hline 9}{c TT}{hline 68}
   Group{col 10}{c |}{col 16}Obs{col 27}Mean{col 35}Std. Err.{col 47}Std. Dev.{col 59}[95% Conf. Interval]
{hline 9}{c +}{hline 68}
No inter {c |}{res}{col 12}    187{col 22} .6334817{col 34} .0053772{col 46} .0735316{col 58} .6228736{col 70} .6440898
{txt}Interfac {c |}{res}{col 12}    189{col 22} .6448963{col 34} .0052174{col 46}  .071728{col 58}  .634604{col 70} .6551885
{txt}{hline 9}{c +}{hline 68}
combined {c |}{res}{col 12}    376{col 22} .6392193{col 34} .0037522{col 46} .0727585{col 58} .6318413{col 70} .6465974
{txt}{hline 9}{c +}{hline 68}
    diff {c |}{res}{col 22}-.0114146{col 34} .0074914{col 58}-.0261451{col 70} .0033159
{txt}{hline 9}{c BT}{hline 68}
    diff = mean({res}No inter{txt}) - mean({res}Interfac{txt})                        t = {res} -1.5237
{txt}Ho: diff = 0                                     degrees of freedom = {res}     374

    {txt}Ha: diff < 0                 Ha: diff != 0                 Ha: diff > 0
 Pr(T < t) = {res}0.0642         {txt}Pr(|T| > |t|) = {res}0.1284          {txt}Pr(T > t) = {res}0.9358

{txt}Two-sample t test with equal variances
{hline 9}{c TT}{hline 68}
   Group{col 10}{c |}{col 16}Obs{col 27}Mean{col 35}Std. Err.{col 47}Std. Dev.{col 59}[95% Conf. Interval]
{hline 9}{c +}{hline 68}
 Control {c |}{res}{col 12}     95{col 22} .2832831{col 34} .0081725{col 46} .0796557{col 58} .2670564{col 70} .2995098
    {txt}Full {c |}{res}{col 12}     92{col 22} .2819269{col 34} .0087935{col 46} .0843445{col 58} .2644596{col 70} .2993941
{txt}{hline 9}{c +}{hline 68}
combined {c |}{res}{col 12}    187{col 22} .2826159{col 34} .0059802{col 46} .0817777{col 58} .2708182{col 70} .2944136
{txt}{hline 9}{c +}{hline 68}
    diff {c |}{res}{col 22} .0013562{col 34} .0119938{col 58}-.0223059{col 70} .0250183
{txt}{hline 9}{c BT}{hline 68}
    diff = mean({res}Control{txt}) - mean({res}Full{txt})                             t = {res}  0.1131
{txt}Ho: diff = 0                                     degrees of freedom = {res}     185

    {txt}Ha: diff < 0                 Ha: diff != 0                 Ha: diff > 0
 Pr(T < t) = {res}0.5450         {txt}Pr(|T| > |t|) = {res}0.9101          {txt}Pr(T > t) = {res}0.4550

{txt}Two-sample t test with equal variances
{hline 9}{c TT}{hline 68}
   Group{col 10}{c |}{col 16}Obs{col 27}Mean{col 35}Std. Err.{col 47}Std. Dev.{col 59}[95% Conf. Interval]
{hline 9}{c +}{hline 68}
 No info {c |}{res}{col 12}    192{col 22} .2837276{col 34}  .005411{col 46} .0749767{col 58} .2730547{col 70} .2944006
    {txt}Info {c |}{res}{col 12}    184{col 22} .2840134{col 34} .0060057{col 46} .0814652{col 58} .2721641{col 70} .2958627
{txt}{hline 9}{c +}{hline 68}
combined {c |}{res}{col 12}    376{col 22} .2838675{col 34} .0040285{col 46} .0781146{col 58} .2759463{col 70} .2917887
{txt}{hline 9}{c +}{hline 68}
    diff {c |}{res}{col 22}-.0002858{col 34} .0080695{col 58} -.016153{col 70} .0155815
{txt}{hline 9}{c BT}{hline 68}
    diff = mean({res}No info{txt}) - mean({res}Info{txt})                             t = {res} -0.0354
{txt}Ho: diff = 0                                     degrees of freedom = {res}     374

    {txt}Ha: diff < 0                 Ha: diff != 0                 Ha: diff > 0
 Pr(T < t) = {res}0.4859         {txt}Pr(|T| > |t|) = {res}0.9718          {txt}Pr(T > t) = {res}0.5141

{txt}Two-sample t test with equal variances
{hline 9}{c TT}{hline 68}
   Group{col 10}{c |}{col 16}Obs{col 27}Mean{col 35}Std. Err.{col 47}Std. Dev.{col 59}[95% Conf. Interval]
{hline 9}{c +}{hline 68}
No inter {c |}{res}{col 12}    187{col 22} .2846689{col 34} .0057828{col 46} .0790781{col 58} .2732607{col 70} .2960771
{txt}Interfac {c |}{res}{col 12}    189{col 22} .2830745{col 34} .0056265{col 46} .0773513{col 58} .2719754{col 70} .2941737
{txt}{hline 9}{c +}{hline 68}
combined {c |}{res}{col 12}    376{col 22} .2838675{col 34} .0040285{col 46} .0781146{col 58} .2759463{col 70} .2917887
{txt}{hline 9}{c +}{hline 68}
    diff {c |}{res}{col 22} .0015944{col 34} .0080674{col 58}-.0142687{col 70} .0174575
{txt}{hline 9}{c BT}{hline 68}
    diff = mean({res}No inter{txt}) - mean({res}Interfac{txt})                        t = {res}  0.1976
{txt}Ho: diff = 0                                     degrees of freedom = {res}     374

    {txt}Ha: diff < 0                 Ha: diff != 0                 Ha: diff > 0
 Pr(T < t) = {res}0.5783         {txt}Pr(|T| > |t|) = {res}0.8434          {txt}Pr(T > t) = {res}0.4217

{txt}Two-sample t test with equal variances
{hline 9}{c TT}{hline 68}
   Group{col 10}{c |}{col 16}Obs{col 27}Mean{col 35}Std. Err.{col 47}Std. Dev.{col 59}[95% Conf. Interval]
{hline 9}{c +}{hline 68}
 Control {c |}{res}{col 12}     95{col 22} .8087858{col 34} .0081319{col 46} .0792603{col 58} .7926396{col 70} .8249319
    {txt}Full {c |}{res}{col 12}     92{col 22} .7980384{col 34} .0111951{col 46} .1073793{col 58} .7758008{col 70}  .820276
{txt}{hline 9}{c +}{hline 68}
combined {c |}{res}{col 12}    187{col 22} .8034983{col 34} .0068775{col 46} .0940483{col 58} .7899304{col 70} .8170662
{txt}{hline 9}{c +}{hline 68}
    diff {c |}{res}{col 22} .0107474{col 34} .0137712{col 58}-.0164215{col 70} .0379162
{txt}{hline 9}{c BT}{hline 68}
    diff = mean({res}Control{txt}) - mean({res}Full{txt})                             t = {res}  0.7804
{txt}Ho: diff = 0                                     degrees of freedom = {res}     185

    {txt}Ha: diff < 0                 Ha: diff != 0                 Ha: diff > 0
 Pr(T < t) = {res}0.7819         {txt}Pr(|T| > |t|) = {res}0.4361          {txt}Pr(T > t) = {res}0.2181

{txt}Two-sample t test with equal variances
{hline 9}{c TT}{hline 68}
   Group{col 10}{c |}{col 16}Obs{col 27}Mean{col 35}Std. Err.{col 47}Std. Dev.{col 59}[95% Conf. Interval]
{hline 9}{c +}{hline 68}
 No info {c |}{res}{col 12}    192{col 22} .8075031{col 34} .0061837{col 46} .0856845{col 58} .7953059{col 70} .8197003
    {txt}Info {c |}{res}{col 12}    184{col 22} .8109984{col 34}  .006675{col 46} .0905434{col 58} .7978286{col 70} .8241682
{txt}{hline 9}{c +}{hline 68}
combined {c |}{res}{col 12}    376{col 22} .8092136{col 34}  .004538{col 46} .0879953{col 58} .8002904{col 70} .8181367
{txt}{hline 9}{c +}{hline 68}
    diff {c |}{res}{col 22}-.0034953{col 34} .0090884{col 58}-.0213661{col 70} .0143755
{txt}{hline 9}{c BT}{hline 68}
    diff = mean({res}No info{txt}) - mean({res}Info{txt})                             t = {res} -0.3846
{txt}Ho: diff = 0                                     degrees of freedom = {res}     374

    {txt}Ha: diff < 0                 Ha: diff != 0                 Ha: diff > 0
 Pr(T < t) = {res}0.3504         {txt}Pr(|T| > |t|) = {res}0.7008          {txt}Pr(T > t) = {res}0.6496

{txt}Two-sample t test with equal variances
{hline 9}{c TT}{hline 68}
   Group{col 10}{c |}{col 16}Obs{col 27}Mean{col 35}Std. Err.{col 47}Std. Dev.{col 59}[95% Conf. Interval]
{hline 9}{c +}{hline 68}
No inter {c |}{res}{col 12}    187{col 22} .8162504{col 34}  .005419{col 46} .0741031{col 58} .8055599{col 70} .8269409
{txt}Interfac {c |}{res}{col 12}    189{col 22} .8022513{col 34} .0072427{col 46} .0995707{col 58} .7879638{col 70} .8165387
{txt}{hline 9}{c +}{hline 68}
combined {c |}{res}{col 12}    376{col 22} .8092136{col 34}  .004538{col 46} .0879953{col 58} .8002904{col 70} .8181367
{txt}{hline 9}{c +}{hline 68}
    diff {c |}{res}{col 22} .0139991{col 34} .0090594{col 58}-.0038146{col 70} .0318129
{txt}{hline 9}{c BT}{hline 68}
    diff = mean({res}No inter{txt}) - mean({res}Interfac{txt})                        t = {res}  1.5453
{txt}Ho: diff = 0                                     degrees of freedom = {res}     374

    {txt}Ha: diff < 0                 Ha: diff != 0                 Ha: diff > 0
 Pr(T < t) = {res}0.9384         {txt}Pr(|T| > |t|) = {res}0.1231          {txt}Pr(T > t) = {res}0.0616

{txt}Two-sample t test with equal variances
{hline 9}{c TT}{hline 68}
   Group{col 10}{c |}{col 16}Obs{col 27}Mean{col 35}Std. Err.{col 47}Std. Dev.{col 59}[95% Conf. Interval]
{hline 9}{c +}{hline 68}
 Control {c |}{res}{col 12}     95{col 22} .2217895{col 34} .0219452{col 46} .2138949{col 58} .1782169{col 70} .2653621
    {txt}Full {c |}{res}{col 12}     92{col 22} .1886473{col 34} .0170372{col 46} .1634154{col 58}  .154805{col 70} .2224897
{txt}{hline 9}{c +}{hline 68}
combined {c |}{res}{col 12}    187{col 22} .2054843{col 34} .0139638{col 46} .1909519{col 58} .1779365{col 70}  .233032
{txt}{hline 9}{c +}{hline 68}
    diff {c |}{res}{col 22} .0331421{col 34} .0279004{col 58}-.0219016{col 70} .0881859
{txt}{hline 9}{c BT}{hline 68}
    diff = mean({res}Control{txt}) - mean({res}Full{txt})                             t = {res}  1.1879
{txt}Ho: diff = 0                                     degrees of freedom = {res}     185

    {txt}Ha: diff < 0                 Ha: diff != 0                 Ha: diff > 0
 Pr(T < t) = {res}0.8818         {txt}Pr(|T| > |t|) = {res}0.2364          {txt}Pr(T > t) = {res}0.1182

{txt}Two-sample t test with equal variances
{hline 9}{c TT}{hline 68}
   Group{col 10}{c |}{col 16}Obs{col 27}Mean{col 35}Std. Err.{col 47}Std. Dev.{col 59}[95% Conf. Interval]
{hline 9}{c +}{hline 68}
 No info {c |}{res}{col 12}    192{col 22} .2238765{col 34} .0155817{col 46} .2159066{col 58} .1931421{col 70} .2546108
    {txt}Info {c |}{res}{col 12}    184{col 22} .2019324{col 34} .0130805{col 46} .1774329{col 58} .1761243{col 70} .2277404
{txt}{hline 9}{c +}{hline 68}
combined {c |}{res}{col 12}    376{col 22} .2131379{col 34} .0102141{col 46} .1980581{col 58} .1930539{col 70} .2332219
{txt}{hline 9}{c +}{hline 68}
    diff {c |}{res}{col 22} .0219441{col 34} .0204286{col 58}-.0182251{col 70} .0621134
{txt}{hline 9}{c BT}{hline 68}
    diff = mean({res}No info{txt}) - mean({res}Info{txt})                             t = {res}  1.0742
{txt}Ho: diff = 0                                     degrees of freedom = {res}     374

    {txt}Ha: diff < 0                 Ha: diff != 0                 Ha: diff > 0
 Pr(T < t) = {res}0.8583         {txt}Pr(|T| > |t|) = {res}0.2834          {txt}Pr(T > t) = {res}0.1417

{txt}Two-sample t test with equal variances
{hline 9}{c TT}{hline 68}
   Group{col 10}{c |}{col 16}Obs{col 27}Mean{col 35}Std. Err.{col 47}Std. Dev.{col 59}[95% Conf. Interval]
{hline 9}{c +}{hline 68}
No inter {c |}{res}{col 12}    187{col 22} .2185562{col 34} .0147831{col 46} .2021565{col 58}  .189392{col 70} .2477204
{txt}Interfac {c |}{res}{col 12}    189{col 22} .2077769{col 34} .0141337{col 46} .1943058{col 58}  .179896{col 70} .2356579
{txt}{hline 9}{c +}{hline 68}
combined {c |}{res}{col 12}    376{col 22} .2131379{col 34} .0102141{col 46} .1980581{col 58} .1930539{col 70} .2332219
{txt}{hline 9}{c +}{hline 68}
    diff {c |}{res}{col 22} .0107792{col 34} .0204481{col 58}-.0294285{col 70} .0509869
{txt}{hline 9}{c BT}{hline 68}
    diff = mean({res}No inter{txt}) - mean({res}Interfac{txt})                        t = {res}  0.5271
{txt}Ho: diff = 0                                     degrees of freedom = {res}     374

    {txt}Ha: diff < 0                 Ha: diff != 0                 Ha: diff > 0
 Pr(T < t) = {res}0.7008         {txt}Pr(|T| > |t|) = {res}0.5984          {txt}Pr(T > t) = {res}0.2992
{txt}
{com}.         
.         restore
{txt}
{com}.         
.         * At endline
.         
.         * We keep the right variable
.         
.         preserve
{txt}
{com}.         
.         keep hc_id treatment treatfull treatinter treatinfo uniquehc `e_variable_mean'
{txt}
{com}.         
.         foreach var of local e_variable_mean {c -(}
{txt}  2{com}.         
.         * Treatment group
.         
.         qui sum `var' if treatment == 1 & uniquehc == 1
{txt}  3{com}.         
.         local mean_t_`var' = string(`r(mean)',"%9.2fc")
{txt}  4{com}.         
.         * Info group
.         
.         qui sum `var' if treatment == 2 & uniquehc == 1
{txt}  5{com}.         
.         local mean_inf_`var' = string(`r(mean)',"%9.2fc")
{txt}  6{com}.                 
.         * Inter group
.         
.         qui sum `var' if treatment == 3 & uniquehc == 1
{txt}  7{com}.         
.         local mean_int_`var' = string(`r(mean)',"%9.2fc")
{txt}  8{com}.                 
.         * Control group
.         
.         qui sum `var' if treatment == 4 & uniquehc == 1
{txt}  9{com}.         
.         local mean_c_`var' = string(`r(mean)',"%9.2fc")
{txt} 10{com}.         
.         * Difference Treatment - Control
.         
.         ttest `var' if uniquehc == 1, by(treatfull)
{txt} 11{com}.         
.         local m_diff_tc_`var' = `r(mu_1)' - `r(mu_2)'
{txt} 12{com}.         
.         local p_diff_tc_`var' = (2 * ttail(`r(df_t)', abs(`m_diff_tc_`var''/`r(se)')))
{txt} 13{com}.         
.         local p_diff_tc_`var' = string(`p_diff_tc_`var'',"%9.2fc")
{txt} 14{com}.         
.         * Difference Info - no Info
.         
.         ttest `var' if uniquehc == 1, by(treatinfo)
{txt} 15{com}.         
.         local m_diff_info_`var' = `r(mu_1)' - `r(mu_2)'
{txt} 16{com}.         
.         local p_diff_info_`var' = (2 * ttail(`r(df_t)', abs(`m_diff_info_`var''/`r(se)')))
{txt} 17{com}.         
.         local p_diff_info_`var' = string(`p_diff_info_`var'',"%9.2fc")
{txt} 18{com}.         
.         * Difference Inter - no Inter
.         
.         ttest `var' if uniquehc == 1, by(treatinter)
{txt} 19{com}.         
.         local m_diff_inter_`var' = `r(mu_1)' - `r(mu_2)'
{txt} 20{com}.         
.         local p_diff_inter_`var' = (2 * ttail(`r(df_t)', abs(`m_diff_inter_`var''/`r(se)')))
{txt} 21{com}.         
.         local p_diff_inter_`var' = string(`p_diff_inter_`var'',"%9.2fc")
{txt} 22{com}.         
.         {c )-}

{txt}Two-sample t test with equal variances
{hline 9}{c TT}{hline 68}
   Group{col 10}{c |}{col 16}Obs{col 27}Mean{col 35}Std. Err.{col 47}Std. Dev.{col 59}[95% Conf. Interval]
{hline 9}{c +}{hline 68}
 Control {c |}{res}{col 12}     95{col 22} .4462213{col 34} .0076784{col 46} .0748402{col 58} .4309755{col 70}  .461467
    {txt}Full {c |}{res}{col 12}     92{col 22} .4302755{col 34} .0067454{col 46} .0646992{col 58} .4168767{col 70} .4436744
{txt}{hline 9}{c +}{hline 68}
combined {c |}{res}{col 12}    187{col 22} .4383763{col 34} .0051411{col 46}  .070303{col 58}  .428234{col 70} .4485186
{txt}{hline 9}{c +}{hline 68}
    diff {c |}{res}{col 22} .0159457{col 34} .0102443{col 58} -.004265{col 70} .0361565
{txt}{hline 9}{c BT}{hline 68}
    diff = mean({res}Control{txt}) - mean({res}Full{txt})                             t = {res}  1.5565
{txt}Ho: diff = 0                                     degrees of freedom = {res}     185

    {txt}Ha: diff < 0                 Ha: diff != 0                 Ha: diff > 0
 Pr(T < t) = {res}0.9394         {txt}Pr(|T| > |t|) = {res}0.1213          {txt}Pr(T > t) = {res}0.0606

{txt}Two-sample t test with equal variances
{hline 9}{c TT}{hline 68}
   Group{col 10}{c |}{col 16}Obs{col 27}Mean{col 35}Std. Err.{col 47}Std. Dev.{col 59}[95% Conf. Interval]
{hline 9}{c +}{hline 68}
 No info {c |}{res}{col 12}    192{col 22} .4402122{col 34}   .00498{col 46} .0690043{col 58} .4303894{col 70}  .450035
    {txt}Info {c |}{res}{col 12}    184{col 22} .4349534{col 34}  .004958{col 46} .0672539{col 58} .4251712{col 70} .4447356
{txt}{hline 9}{c +}{hline 68}
combined {c |}{res}{col 12}    376{col 22} .4376387{col 34} .0035127{col 46} .0681134{col 58} .4307317{col 70} .4445458
{txt}{hline 9}{c +}{hline 68}
    diff {c |}{res}{col 22} .0052588{col 34} .0070311{col 58}-.0085666{col 70} .0190842
{txt}{hline 9}{c BT}{hline 68}
    diff = mean({res}No info{txt}) - mean({res}Info{txt})                             t = {res}  0.7479
{txt}Ho: diff = 0                                     degrees of freedom = {res}     374

    {txt}Ha: diff < 0                 Ha: diff != 0                 Ha: diff > 0
 Pr(T < t) = {res}0.7725         {txt}Pr(|T| > |t|) = {res}0.4550          {txt}Pr(T > t) = {res}0.2275

{txt}Two-sample t test with equal variances
{hline 9}{c TT}{hline 68}
   Group{col 10}{c |}{col 16}Obs{col 27}Mean{col 35}Std. Err.{col 47}Std. Dev.{col 59}[95% Conf. Interval]
{hline 9}{c +}{hline 68}
No inter {c |}{res}{col 12}    187{col 22} .4429791{col 34} .0052844{col 46} .0722637{col 58}  .432554{col 70} .4534043
{txt}Interfac {c |}{res}{col 12}    189{col 22} .4323549{col 34} .0046184{col 46} .0634922{col 58} .4232444{col 70} .4414654
{txt}{hline 9}{c +}{hline 68}
combined {c |}{res}{col 12}    376{col 22} .4376387{col 34} .0035127{col 46} .0681134{col 58} .4307317{col 70} .4445458
{txt}{hline 9}{c +}{hline 68}
    diff {c |}{res}{col 22} .0106243{col 34} .0070134{col 58}-.0031663{col 70} .0244148
{txt}{hline 9}{c BT}{hline 68}
    diff = mean({res}No inter{txt}) - mean({res}Interfac{txt})                        t = {res}  1.5149
{txt}Ho: diff = 0                                     degrees of freedom = {res}     374

    {txt}Ha: diff < 0                 Ha: diff != 0                 Ha: diff > 0
 Pr(T < t) = {res}0.9347         {txt}Pr(|T| > |t|) = {res}0.1307          {txt}Pr(T > t) = {res}0.0653

{txt}Two-sample t test with equal variances
{hline 9}{c TT}{hline 68}
   Group{col 10}{c |}{col 16}Obs{col 27}Mean{col 35}Std. Err.{col 47}Std. Dev.{col 59}[95% Conf. Interval]
{hline 9}{c +}{hline 68}
 Control {c |}{res}{col 12}     95{col 22} .3187135{col 34} .0187798{col 46} .1830431{col 58} .2814257{col 70} .3560012
    {txt}Full {c |}{res}{col 12}     92{col 22} .3478261{col 34} .0203357{col 46} .1950531{col 58} .3074318{col 70} .3882204
{txt}{hline 9}{c +}{hline 68}
combined {c |}{res}{col 12}    187{col 22} .3330363{col 34} .0138284{col 46} .1891011{col 58} .3057555{col 70}  .360317
{txt}{hline 9}{c +}{hline 68}
    diff {c |}{res}{col 22}-.0291126{col 34} .0276524{col 58}-.0836672{col 70} .0254419
{txt}{hline 9}{c BT}{hline 68}
    diff = mean({res}Control{txt}) - mean({res}Full{txt})                             t = {res} -1.0528
{txt}Ho: diff = 0                                     degrees of freedom = {res}     185

    {txt}Ha: diff < 0                 Ha: diff != 0                 Ha: diff > 0
 Pr(T < t) = {res}0.1469         {txt}Pr(|T| > |t|) = {res}0.2938          {txt}Pr(T > t) = {res}0.8531

{txt}Two-sample t test with equal variances
{hline 9}{c TT}{hline 68}
   Group{col 10}{c |}{col 16}Obs{col 27}Mean{col 35}Std. Err.{col 47}Std. Dev.{col 59}[95% Conf. Interval]
{hline 9}{c +}{hline 68}
 No info {c |}{res}{col 12}    192{col 22} .3269676{col 34}  .012557{col 46} .1739944{col 58} .3021995{col 70} .3517357
    {txt}Info {c |}{res}{col 12}    184{col 22} .3550725{col 34} .0129438{col 46} .1755777{col 58} .3295343{col 70} .3806107
{txt}{hline 9}{c +}{hline 68}
combined {c |}{res}{col 12}    376{col 22}  .340721{col 34} .0090303{col 46} .1751038{col 58} .3229647{col 70} .3584774
{txt}{hline 9}{c +}{hline 68}
    diff {c |}{res}{col 22}-.0281049{col 34} .0180303{col 58}-.0635584{col 70} .0073486
{txt}{hline 9}{c BT}{hline 68}
    diff = mean({res}No info{txt}) - mean({res}Info{txt})                             t = {res} -1.5588
{txt}Ho: diff = 0                                     degrees of freedom = {res}     374

    {txt}Ha: diff < 0                 Ha: diff != 0                 Ha: diff > 0
 Pr(T < t) = {res}0.0600         {txt}Pr(|T| > |t|) = {res}0.1199          {txt}Pr(T > t) = {res}0.9400

{txt}Two-sample t test with equal variances
{hline 9}{c TT}{hline 68}
   Group{col 10}{c |}{col 16}Obs{col 27}Mean{col 35}Std. Err.{col 47}Std. Dev.{col 59}[95% Conf. Interval]
{hline 9}{c +}{hline 68}
No inter {c |}{res}{col 12}    187{col 22} .3401664{col 34} .0124692{col 46} .1705137{col 58} .3155671{col 70} .3647656
{txt}Interfac {c |}{res}{col 12}    189{col 22} .3412699{col 34} .0130917{col 46} .1799815{col 58} .3154443{col 70} .3670954
{txt}{hline 9}{c +}{hline 68}
combined {c |}{res}{col 12}    376{col 22}  .340721{col 34} .0090303{col 46} .1751038{col 58} .3229647{col 70} .3584774
{txt}{hline 9}{c +}{hline 68}
    diff {c |}{res}{col 22}-.0011035{col 34} .0180849{col 58}-.0366642{col 70} .0344573
{txt}{hline 9}{c BT}{hline 68}
    diff = mean({res}No inter{txt}) - mean({res}Interfac{txt})                        t = {res} -0.0610
{txt}Ho: diff = 0                                     degrees of freedom = {res}     374

    {txt}Ha: diff < 0                 Ha: diff != 0                 Ha: diff > 0
 Pr(T < t) = {res}0.4757         {txt}Pr(|T| > |t|) = {res}0.9514          {txt}Pr(T > t) = {res}0.5243

{txt}Two-sample t test with equal variances
{hline 9}{c TT}{hline 68}
   Group{col 10}{c |}{col 16}Obs{col 27}Mean{col 35}Std. Err.{col 47}Std. Dev.{col 59}[95% Conf. Interval]
{hline 9}{c +}{hline 68}
 Control {c |}{res}{col 12}     95{col 22} .6609569{col 34}  .007713{col 46}  .075177{col 58} .6456425{col 70} .6762712
    {txt}Full {c |}{res}{col 12}     92{col 22} .6482486{col 34}  .009252{col 46} .0887418{col 58} .6298707{col 70} .6666265
{txt}{hline 9}{c +}{hline 68}
combined {c |}{res}{col 12}    187{col 22} .6547047{col 34} .0060079{col 46} .0821562{col 58} .6428524{col 70}  .666557
{txt}{hline 9}{c +}{hline 68}
    diff {c |}{res}{col 22} .0127083{col 34} .0120134{col 58}-.0109926{col 70} .0364092
{txt}{hline 9}{c BT}{hline 68}
    diff = mean({res}Control{txt}) - mean({res}Full{txt})                             t = {res}  1.0578
{txt}Ho: diff = 0                                     degrees of freedom = {res}     185

    {txt}Ha: diff < 0                 Ha: diff != 0                 Ha: diff > 0
 Pr(T < t) = {res}0.8542         {txt}Pr(|T| > |t|) = {res}0.2915          {txt}Pr(T > t) = {res}0.1458

{txt}Two-sample t test with equal variances
{hline 9}{c TT}{hline 68}
   Group{col 10}{c |}{col 16}Obs{col 27}Mean{col 35}Std. Err.{col 47}Std. Dev.{col 59}[95% Conf. Interval]
{hline 9}{c +}{hline 68}
 No info {c |}{res}{col 12}    192{col 22} .6571323{col 34} .0056053{col 46} .0776694{col 58}  .646076{col 70} .6681885
    {txt}Info {c |}{res}{col 12}    184{col 22}  .653429{col 34}  .006313{col 46} .0856336{col 58} .6409734{col 70} .6658846
{txt}{hline 9}{c +}{hline 68}
combined {c |}{res}{col 12}    376{col 22}   .65532{col 34} .0042069{col 46} .0815755{col 58} .6470479{col 70} .6635922
{txt}{hline 9}{c +}{hline 68}
    diff {c |}{res}{col 22} .0037033{col 34} .0084248{col 58}-.0128627{col 70} .0202693
{txt}{hline 9}{c BT}{hline 68}
    diff = mean({res}No info{txt}) - mean({res}Info{txt})                             t = {res}  0.4396
{txt}Ho: diff = 0                                     degrees of freedom = {res}     374

    {txt}Ha: diff < 0                 Ha: diff != 0                 Ha: diff > 0
 Pr(T < t) = {res}0.6697         {txt}Pr(|T| > |t|) = {res}0.6605          {txt}Pr(T > t) = {res}0.3303

{txt}Two-sample t test with equal variances
{hline 9}{c TT}{hline 68}
   Group{col 10}{c |}{col 16}Obs{col 27}Mean{col 35}Std. Err.{col 47}Std. Dev.{col 59}[95% Conf. Interval]
{hline 9}{c +}{hline 68}
No inter {c |}{res}{col 12}    187{col 22} .6598019{col 34} .0057548{col 46} .0786954{col 58} .6484489{col 70}  .671155
{txt}Interfac {c |}{res}{col 12}    189{col 22} .6508855{col 34} .0061321{col 46} .0843024{col 58}  .638789{col 70} .6629821
{txt}{hline 9}{c +}{hline 68}
combined {c |}{res}{col 12}    376{col 22}   .65532{col 34} .0042069{col 46} .0815755{col 58} .6470479{col 70} .6635922
{txt}{hline 9}{c +}{hline 68}
    diff {c |}{res}{col 22} .0089164{col 34} .0084126{col 58}-.0076255{col 70} .0254584
{txt}{hline 9}{c BT}{hline 68}
    diff = mean({res}No inter{txt}) - mean({res}Interfac{txt})                        t = {res}  1.0599
{txt}Ho: diff = 0                                     degrees of freedom = {res}     374

    {txt}Ha: diff < 0                 Ha: diff != 0                 Ha: diff > 0
 Pr(T < t) = {res}0.8551         {txt}Pr(|T| > |t|) = {res}0.2899          {txt}Pr(T > t) = {res}0.1449

{txt}Two-sample t test with equal variances
{hline 9}{c TT}{hline 68}
   Group{col 10}{c |}{col 16}Obs{col 27}Mean{col 35}Std. Err.{col 47}Std. Dev.{col 59}[95% Conf. Interval]
{hline 9}{c +}{hline 68}
 Control {c |}{res}{col 12}     95{col 22} .3388886{col 34} .0098515{col 46} .0960201{col 58} .3193283{col 70} .3584489
    {txt}Full {c |}{res}{col 12}     92{col 22} .3318061{col 34} .0091185{col 46} .0874617{col 58} .3136933{col 70} .3499189
{txt}{hline 9}{c +}{hline 68}
combined {c |}{res}{col 12}    187{col 22} .3354041{col 34} .0067081{col 46} .0917313{col 58} .3221705{col 70} .3486378
{txt}{hline 9}{c +}{hline 68}
    diff {c |}{res}{col 22} .0070825{col 34}  .013444{col 58}-.0194407{col 70} .0336057
{txt}{hline 9}{c BT}{hline 68}
    diff = mean({res}Control{txt}) - mean({res}Full{txt})                             t = {res}  0.5268
{txt}Ho: diff = 0                                     degrees of freedom = {res}     185

    {txt}Ha: diff < 0                 Ha: diff != 0                 Ha: diff > 0
 Pr(T < t) = {res}0.7005         {txt}Pr(|T| > |t|) = {res}0.5990          {txt}Pr(T > t) = {res}0.2995

{txt}Two-sample t test with equal variances
{hline 9}{c TT}{hline 68}
   Group{col 10}{c |}{col 16}Obs{col 27}Mean{col 35}Std. Err.{col 47}Std. Dev.{col 59}[95% Conf. Interval]
{hline 9}{c +}{hline 68}
 No info {c |}{res}{col 12}    192{col 22} .3322881{col 34} .0064973{col 46} .0900296{col 58} .3194724{col 70} .3451039
    {txt}Info {c |}{res}{col 12}    184{col 22} .3331723{col 34}   .00664{col 46}   .09007{col 58} .3200714{col 70} .3462732
{txt}{hline 9}{c +}{hline 68}
combined {c |}{res}{col 12}    376{col 22} .3327208{col 34} .0046378{col 46} .0899303{col 58} .3236015{col 70} .3418402
{txt}{hline 9}{c +}{hline 68}
    diff {c |}{res}{col 22}-.0008842{col 34}   .00929{col 58}-.0191513{col 70}  .017383
{txt}{hline 9}{c BT}{hline 68}
    diff = mean({res}No info{txt}) - mean({res}Info{txt})                             t = {res} -0.0952
{txt}Ho: diff = 0                                     degrees of freedom = {res}     374

    {txt}Ha: diff < 0                 Ha: diff != 0                 Ha: diff > 0
 Pr(T < t) = {res}0.4621         {txt}Pr(|T| > |t|) = {res}0.9242          {txt}Pr(T > t) = {res}0.5379

{txt}Two-sample t test with equal variances
{hline 9}{c TT}{hline 68}
   Group{col 10}{c |}{col 16}Obs{col 27}Mean{col 35}Std. Err.{col 47}Std. Dev.{col 59}[95% Conf. Interval]
{hline 9}{c +}{hline 68}
No inter {c |}{res}{col 12}    187{col 22} .3367485{col 34} .0068994{col 46} .0943485{col 58} .3231372{col 70} .3503597
{txt}Interfac {c |}{res}{col 12}    189{col 22} .3287358{col 34} .0062118{col 46} .0853982{col 58}  .316482{col 70} .3409896
{txt}{hline 9}{c +}{hline 68}
combined {c |}{res}{col 12}    376{col 22} .3327208{col 34} .0046378{col 46} .0899303{col 58} .3236015{col 70} .3418402
{txt}{hline 9}{c +}{hline 68}
    diff {c |}{res}{col 22} .0080127{col 34} .0092789{col 58}-.0102326{col 70}  .026258
{txt}{hline 9}{c BT}{hline 68}
    diff = mean({res}No inter{txt}) - mean({res}Interfac{txt})                        t = {res}  0.8635
{txt}Ho: diff = 0                                     degrees of freedom = {res}     374

    {txt}Ha: diff < 0                 Ha: diff != 0                 Ha: diff > 0
 Pr(T < t) = {res}0.8058         {txt}Pr(|T| > |t|) = {res}0.3884          {txt}Pr(T > t) = {res}0.1942

{txt}Two-sample t test with equal variances
{hline 9}{c TT}{hline 68}
   Group{col 10}{c |}{col 16}Obs{col 27}Mean{col 35}Std. Err.{col 47}Std. Dev.{col 59}[95% Conf. Interval]
{hline 9}{c +}{hline 68}
 Control {c |}{res}{col 12}     95{col 22} .7864932{col 34} .0086274{col 46} .0840891{col 58} .7693633{col 70}  .803623
    {txt}Full {c |}{res}{col 12}     92{col 22} .8032161{col 34} .0085144{col 46} .0816672{col 58} .7863033{col 70} .8201289
{txt}{hline 9}{c +}{hline 68}
combined {c |}{res}{col 12}    187{col 22} .7947205{col 34} .0060774{col 46} .0831073{col 58}  .782731{col 70}   .80671
{txt}{hline 9}{c +}{hline 68}
    diff {c |}{res}{col 22}-.0167229{col 34}  .012127{col 58} -.040648{col 70} .0072021
{txt}{hline 9}{c BT}{hline 68}
    diff = mean({res}Control{txt}) - mean({res}Full{txt})                             t = {res} -1.3790
{txt}Ho: diff = 0                                     degrees of freedom = {res}     185

    {txt}Ha: diff < 0                 Ha: diff != 0                 Ha: diff > 0
 Pr(T < t) = {res}0.0848         {txt}Pr(|T| > |t|) = {res}0.1696          {txt}Pr(T > t) = {res}0.9152

{txt}Two-sample t test with equal variances
{hline 9}{c TT}{hline 68}
   Group{col 10}{c |}{col 16}Obs{col 27}Mean{col 35}Std. Err.{col 47}Std. Dev.{col 59}[95% Conf. Interval]
{hline 9}{c +}{hline 68}
 No info {c |}{res}{col 12}    192{col 22} .7939402{col 34} .0065067{col 46}  .090159{col 58}  .781106{col 70} .8067743
    {txt}Info {c |}{res}{col 12}    184{col 22} .8062629{col 34}  .006037{col 46} .0818894{col 58} .7943519{col 70} .8181739
{txt}{hline 9}{c +}{hline 68}
combined {c |}{res}{col 12}    376{col 22} .7999704{col 34} .0044515{col 46} .0863174{col 58} .7912174{col 70} .8087234
{txt}{hline 9}{c +}{hline 68}
    diff {c |}{res}{col 22}-.0123228{col 34} .0088941{col 58}-.0298114{col 70} .0051659
{txt}{hline 9}{c BT}{hline 68}
    diff = mean({res}No info{txt}) - mean({res}Info{txt})                             t = {res} -1.3855
{txt}Ho: diff = 0                                     degrees of freedom = {res}     374

    {txt}Ha: diff < 0                 Ha: diff != 0                 Ha: diff > 0
 Pr(T < t) = {res}0.0834         {txt}Pr(|T| > |t|) = {res}0.1667          {txt}Pr(T > t) = {res}0.9166

{txt}Two-sample t test with equal variances
{hline 9}{c TT}{hline 68}
   Group{col 10}{c |}{col 16}Obs{col 27}Mean{col 35}Std. Err.{col 47}Std. Dev.{col 59}[95% Conf. Interval]
{hline 9}{c +}{hline 68}
No inter {c |}{res}{col 12}    187{col 22} .7977184{col 34} .0061313{col 46} .0838439{col 58} .7856227{col 70} .8098142
{txt}Interfac {c |}{res}{col 12}    189{col 22} .8021986{col 34} .0064639{col 46} .0888635{col 58} .7894476{col 70} .8149496
{txt}{hline 9}{c +}{hline 68}
combined {c |}{res}{col 12}    376{col 22} .7999704{col 34} .0044515{col 46} .0863174{col 58} .7912174{col 70} .8087234
{txt}{hline 9}{c +}{hline 68}
    diff {c |}{res}{col 22}-.0044802{col 34}  .008912{col 58} -.022004{col 70} .0130437
{txt}{hline 9}{c BT}{hline 68}
    diff = mean({res}No inter{txt}) - mean({res}Interfac{txt})                        t = {res} -0.5027
{txt}Ho: diff = 0                                     degrees of freedom = {res}     374

    {txt}Ha: diff < 0                 Ha: diff != 0                 Ha: diff > 0
 Pr(T < t) = {res}0.3077         {txt}Pr(|T| > |t|) = {res}0.6155          {txt}Pr(T > t) = {res}0.6923

{txt}Two-sample t test with equal variances
{hline 9}{c TT}{hline 68}
   Group{col 10}{c |}{col 16}Obs{col 27}Mean{col 35}Std. Err.{col 47}Std. Dev.{col 59}[95% Conf. Interval]
{hline 9}{c +}{hline 68}
 Control {c |}{res}{col 12}     95{col 22} .3016842{col 34} .0277255{col 46} .2702349{col 58} .2466345{col 70} .3567339
    {txt}Full {c |}{res}{col 12}     92{col 22} .2847826{col 34} .0296876{col 46} .2847535{col 58} .2258118{col 70} .3437534
{txt}{hline 9}{c +}{hline 68}
combined {c |}{res}{col 12}    187{col 22}  .293369{col 34} .0202456{col 46} .2768542{col 58} .2534285{col 70} .3333095
{txt}{hline 9}{c +}{hline 68}
    diff {c |}{res}{col 22} .0169016{col 34} .0405867{col 58}-.0631706{col 70} .0969738
{txt}{hline 9}{c BT}{hline 68}
    diff = mean({res}Control{txt}) - mean({res}Full{txt})                             t = {res}  0.4164
{txt}Ho: diff = 0                                     degrees of freedom = {res}     185

    {txt}Ha: diff < 0                 Ha: diff != 0                 Ha: diff > 0
 Pr(T < t) = {res}0.6612         {txt}Pr(|T| > |t|) = {res}0.6776          {txt}Pr(T > t) = {res}0.3388

{txt}Two-sample t test with equal variances
{hline 9}{c TT}{hline 68}
   Group{col 10}{c |}{col 16}Obs{col 27}Mean{col 35}Std. Err.{col 47}Std. Dev.{col 59}[95% Conf. Interval]
{hline 9}{c +}{hline 68}
 No info {c |}{res}{col 12}    192{col 22} .2708854{col 34} .0190902{col 46} .2645212{col 58} .2332308{col 70} .3085401
    {txt}Info {c |}{res}{col 12}    184{col 22} .2608696{col 34} .0198879{col 46} .2697728{col 58} .2216305{col 70} .3001087
{txt}{hline 9}{c +}{hline 68}
combined {c |}{res}{col 12}    376{col 22}  .265984{col 34} .0137589{col 46} .2667945{col 58} .2389298{col 70} .2930383
{txt}{hline 9}{c +}{hline 68}
    diff {c |}{res}{col 22} .0100159{col 34} .0275559{col 58} -.044168{col 70} .0641997
{txt}{hline 9}{c BT}{hline 68}
    diff = mean({res}No info{txt}) - mean({res}Info{txt})                             t = {res}  0.3635
{txt}Ho: diff = 0                                     degrees of freedom = {res}     374

    {txt}Ha: diff < 0                 Ha: diff != 0                 Ha: diff > 0
 Pr(T < t) = {res}0.6418         {txt}Pr(|T| > |t|) = {res}0.7165          {txt}Pr(T > t) = {res}0.3582

{txt}Two-sample t test with equal variances
{hline 9}{c TT}{hline 68}
   Group{col 10}{c |}{col 16}Obs{col 27}Mean{col 35}Std. Err.{col 47}Std. Dev.{col 59}[95% Conf. Interval]
{hline 9}{c +}{hline 68}
No inter {c |}{res}{col 12}    187{col 22} .2698396{col 34} .0192543{col 46} .2632989{col 58} .2318546{col 70} .3078245
{txt}Interfac {c |}{res}{col 12}    189{col 22} .2621693{col 34} .0197017{col 46} .2708538{col 58} .2233045{col 70} .3010341
{txt}{hline 9}{c +}{hline 68}
combined {c |}{res}{col 12}    376{col 22}  .265984{col 34} .0137589{col 46} .2667945{col 58} .2389298{col 70} .2930383
{txt}{hline 9}{c +}{hline 68}
    diff {c |}{res}{col 22} .0076703{col 34}  .027552{col 58}-.0465061{col 70} .0618466
{txt}{hline 9}{c BT}{hline 68}
    diff = mean({res}No inter{txt}) - mean({res}Interfac{txt})                        t = {res}  0.2784
{txt}Ho: diff = 0                                     degrees of freedom = {res}     374

    {txt}Ha: diff < 0                 Ha: diff != 0                 Ha: diff > 0
 Pr(T < t) = {res}0.6096         {txt}Pr(|T| > |t|) = {res}0.7809          {txt}Pr(T > t) = {res}0.3904
{txt}
{com}.         
.         restore
{txt}
{com}.         
.         * At midline, we calculate the number of HC
.         
.         count if uniquehc == 1 & treatment == 1 
  {res}92
{txt}
{com}.         local m_n_t `r(N)'
{txt}
{com}.         
.         count if uniquehc == 1 & treatment == 2 
  {res}92
{txt}
{com}.         local m_n_inf `r(N)'
{txt}
{com}.         
.         count if uniquehc == 1 & treatment == 3 
  {res}97
{txt}
{com}.         local m_n_int `r(N)'
{txt}
{com}.         
.         count if uniquehc == 1 & treatment == 4 
  {res}95
{txt}
{com}.         local m_n_c `r(N)'
{txt}
{com}.         
.         * At endline, we calculate the number of HC
.         
.         count if uniquehc == 1 & treatment == 1 
  {res}92
{txt}
{com}.         local e_n_t `r(N)'
{txt}
{com}.         
.         count if uniquehc == 1 & treatment == 2 
  {res}92
{txt}
{com}.         local e_n_inf `r(N)'
{txt}
{com}.         
.         count if uniquehc == 1 & treatment == 3 
  {res}97
{txt}
{com}.         local e_n_int `r(N)'
{txt}
{com}.         
.         count if uniquehc == 1 & treatment == 4 
  {res}95
{txt}
{com}.         local e_n_c `r(N)'
{txt}
{com}.         
.         * Table
.         
.         texdoc init "${c -(}tables{c )-}/TableI55.tex", replace force
{res}{txt}(texdoc output file is /Users/fredericcochinard/Dropbox/ACT_Health_JOP_replication_file/3.Tables and Figures/Tables/TableI55.tex)
{res}{txt}
{com}.         tex \begin{c -(}table{c )-}[htbp]\centering
{res}{txt}
{com}.         tex \scriptsize
{res}{txt}
{com}.         tex \def\sym#1{c -(}\ifmmode^{c -(}#1{c )-}\else\(^{c -(}#1{c )-}\)\fi{c )-}
{res}{txt}
{com}.         tex \caption{c -(}Balance Across Treatment Arms (Midline and Endline){c )-}
{res}{txt}
{com}.         tex \begin{c -(}tabular{c )-}{c -(}lccccccccc{c )-}
{res}{txt}
{com}.         tex \toprule
{res}{txt}
{com}.     tex                &\multicolumn{c -(}1{c )-}{c -(}c{c )-}{c -(}(1){c )-}&\multicolumn{c -(}1{c )-}{c -(}c{c )-}{c -(}(2){c )-}&\multicolumn{c -(}1{c )-}{c -(}c{c )-}{c -(}(3){c )-}&\multicolumn{c -(}1{c )-}{c -(}c{c )-}{c -(}(4){c )-}&\multicolumn{c -(}1{c )-}{c -(}c{c )-}{c -(}(5){c )-}&\multicolumn{c -(}1{c )-}{c -(}c{c )-}{c -(}(6){c )-}&\multicolumn{c -(}1{c )-}{c -(}c{c )-}{c -(}(7){c )-}\\
{res}{txt}
{com}.     tex               &\multicolumn{c -(}1{c )-}{c -(}c{c )-}{c -(}\begin{c -(}tabular{c )-}[c]{c -(}@{c -(}{c )-}c@{c -(}{c )-}{c )-}Full\\treatment\end{c -(}tabular{c )-}{c )-}&\multicolumn{c -(}1{c )-}{c -(}c{c )-}{c -(}\begin{c -(}tabular{c )-}[c]{c -(}@{c -(}{c )-}c@{c -(}{c )-}{c )-}Information\\only\end{c -(}tabular{c )-}{c )-}&\multicolumn{c -(}1{c )-}{c -(}c{c )-}{c -(}\begin{c -(}tabular{c )-}[c]{c -(}@{c -(}{c )-}c@{c -(}{c )-}{c )-}Interface\\only\end{c -(}tabular{c )-}{c )-}&\multicolumn{c -(}1{c )-}{c -(}c{c )-}{c -(}\begin{c -(}tabular{c )-}[c]{c -(}@{c -(}{c )-}c@{c -(}{c )-}{c )-}Control\end{c -(}tabular{c )-}{c )-}&\multicolumn{c -(}1{c )-}{c -(}c{c )-}{c -(}\begin{c -(}tabular{c )-}[c]{c -(}@{c -(}{c )-}c@{c -(}{c )-}{c )-}P-value difference \\ (1) - (4)\end{c -(}tabular{c )-}{c )-}&\multicolumn{c -(}1{c )-}{c -(}c{c )-}{c -(}\begin{c -(}tabular{c )-}[c]{c -(}@{c -(}{c )-}c@{c -(}{c )-}{c )-}P-value difference \\ (1) \& (2) - (3) \& (4)\end{c -(}tabular{c )-}{c )-}&\multicolumn{c -(}1{c )-}{c -(}c{c )-}{c -(}\begin{c -(}tabular{c )-}[c]{c -(}@{c -(}{c )-}c@{c -(}{c )-}{c )-}P-value difference \\ (1) \& (3) - (2) \& (4)\end{c -(}tabular{c )-}{c )-}\\
{res}{txt}
{com}.         tex \midrule
{res}{txt}
{com}.         tex \textit{c -(}A. Midline levels of main outcome indices{c )-} & & & & & & & & \\
{res}{txt}
{com}.         tex \midrule
{res}{txt}
{com}.         tex Citizen monitoring      &  `mean_t_m_commtg_mean' & `mean_inf_m_commtg_mean'   & `mean_int_m_commtg_mean' &  `mean_c_m_commtg_mean'   &  `p_diff_tc_m_commtg_mean' & `p_diff_info_m_commtg_mean'   &  `p_diff_inter_m_commtg_mean'   \\
{res}{txt}
{com}.         tex Perceived citizen pressure      &  `mean_t_m_ctzpressure_mean' & `mean_inf_m_ctzpressure_mean'   & `mean_int_m_ctzpressure_mean' &  `mean_c_m_ctzpressure_mean'   &  `p_diff_tc_m_ctzpressure_mean' & `p_diff_info_m_ctzpressure_mean'   &  `p_diff_inter_m_ctzpressure_mean'   \\
{res}{txt}
{com}.         tex Utilization     &  `mean_t_m_urate_mean' & `mean_inf_m_urate_mean'   & `mean_int_m_urate_mean' &  `mean_c_m_urate_mean'   &  `p_diff_tc_m_urate_mean' & `p_diff_info_m_urate_mean'   &  `p_diff_inter_m_urate_mean'   \\
{res}{txt}
{com}.     tex Treatment quality      &  `mean_t_m_treatqual_mean' & `mean_inf_m_treatqual_mean'   & `mean_int_m_treatqual_mean' &  `mean_c_m_treatqual_mean'   &  `p_diff_tc_m_treatqual_mean' & `p_diff_info_m_treatqual_mean'   &  `p_diff_inter_m_treatqual_mean'   \\
{res}{txt}
{com}.     tex Patient satisfaction      &  `mean_t_m_patsat_mean' & `mean_inf_m_patsat_mean'   & `mean_int_m_patsat_mean' &  `mean_c_m_patsat_mean'   &  `p_diff_tc_m_patsat_mean' & `p_diff_info_m_patsat_mean'   &  `p_diff_inter_m_patsat_mean'   \\
{res}{txt}
{com}.     tex Health outcomes      &  `mean_t_m_healthout_mean' & `mean_inf_m_healthout_mean'   & `mean_int_m_healthout_mean' &  `mean_c_m_healthout_mean'   &  `p_diff_tc_m_healthout_mean' & `p_diff_info_m_healthout_mean'   &  `p_diff_inter_m_healthout_mean'   \\
{res}{txt}
{com}.     tex Mortality      &  `mean_t_m_mortrate_mean' & `mean_inf_m_mortrate_mean'   & `mean_int_m_mortrate_mean' &  `mean_c_m_mortrate_mean'   &  `p_diff_tc_m_mortrate_mean' & `p_diff_info_m_mortrate_mean'   &  `p_diff_inter_m_mortrate_mean'   \\
{res}{txt}
{com}.     tex \midrule
{res}{txt}
{com}.         tex \textit{c -(}B. Midline levels of intermediate outcome indices{c )-} & & & & & & & & \\
{res}{txt}
{com}.         tex \midrule
{res}{txt}
{com}.         tex Citizen knowledge      &  `mean_t_m_ctzknow_mean' & `mean_inf_m_ctzknow_mean'   & `mean_int_m_ctzknow_mean' &  `mean_c_m_ctzknow_mean'   &  `p_diff_tc_m_ctzknow_mean' & `p_diff_info_m_ctzknow_mean'   &  `p_diff_inter_m_ctzknow_mean'   \\
{res}{txt}
{com}.         tex Health worker knowledge      &  `mean_t_m_h_hcpknow_mean' & `mean_inf_m_h_hcpknow_mean'   & `mean_int_m_h_hcpknow_mean' &  `mean_c_m_h_hcpknow_mean'   &  `p_diff_tc_m_h_hcpknow_mean' & `p_diff_info_m_h_hcpknow_mean'   &  `p_diff_inter_m_h_hcpknow_mean'   \\
{res}{txt}
{com}.         tex Efficacy      &  `mean_t_m_eff_mean' & `mean_inf_m_eff_mean'   & `mean_int_m_eff_mean' &  `mean_c_m_eff_mean'   &  `p_diff_tc_m_eff_mean' & `p_diff_info_m_eff_mean'   &  `p_diff_inter_m_eff_mean'   \\
{res}{txt}
{com}.         tex Community responsibility      &  `mean_t_m_commresp_mean' & `mean_inf_m_commresp_mean'   & `mean_int_m_commresp_mean' &  `mean_c_m_commresp_mean'   &  `p_diff_tc_m_commresp_mean' & `p_diff_info_m_commresp_mean'   &  `p_diff_inter_m_commresp_mean'   \\
{res}{txt}
{com}.         tex Relationship between health workers and community    &  `mean_t_m_relhhhc_mean' & `mean_inf_m_relhhhc_mean'   & `mean_int_m_relhhhc_mean' &  `mean_c_m_relhhhc_mean'   &  `p_diff_tc_m_relhhhc_mean' & `p_diff_info_m_relhhhc_mean'   &  `p_diff_inter_m_relhhhc_mean'   \\
{res}{txt}
{com}.         tex Health center transparency      &  `mean_t_m_h_hctrans_mean' & `mean_inf_m_h_hctrans_mean'   & `mean_int_m_h_hctrans_mean' &  `mean_c_m_h_hctrans_mean'   &  `p_diff_tc_m_h_hctrans_mean' & `p_diff_info_m_h_hctrans_mean'   &  `p_diff_inter_m_h_hctrans_mean'   \\
{res}{txt}
{com}.         tex \midrule
{res}{txt}
{com}.         tex \textit{c -(}C. Endline levels of main outcome indices{c )-} & & & & & & & & \\
{res}{txt}
{com}.         tex \midrule
{res}{txt}
{com}.         tex Citizen monitoring      &  `mean_t_e_commtg_mean' & `mean_inf_e_commtg_mean'   & `mean_int_e_commtg_mean' &  `mean_c_e_commtg_mean'   &  `p_diff_tc_e_commtg_mean' & `p_diff_info_e_commtg_mean'   &  `p_diff_inter_e_commtg_mean'   \\
{res}{txt}
{com}.         tex Perceived citizen pressure      &  `mean_t_e_ctzpressure_mean' & `mean_inf_e_ctzpressure_mean'   & `mean_int_e_ctzpressure_mean' &  `mean_c_e_ctzpressure_mean'   &  `p_diff_tc_e_ctzpressure_mean' & `p_diff_info_e_ctzpressure_mean'   &  `p_diff_inter_e_ctzpressure_mean'   \\
{res}{txt}
{com}.         tex Utilization     &  `mean_t_e_urate_mean' & `mean_inf_e_urate_mean'   & `mean_int_e_urate_mean' &  `mean_c_e_urate_mean'   &  `p_diff_tc_e_urate_mean' & `p_diff_info_e_urate_mean'   &  `p_diff_inter_e_urate_mean'   \\
{res}{txt}
{com}.     tex Treatment quality      &  `mean_t_e_treatqual_mean' & `mean_inf_e_treatqual_mean'   & `mean_int_e_treatqual_mean' &  `mean_c_e_treatqual_mean'   &  `p_diff_tc_e_treatqual_mean' & `p_diff_info_e_treatqual_mean'   &  `p_diff_inter_e_treatqual_mean'   \\
{res}{txt}
{com}.     tex Patient satisfaction      &  `mean_t_e_patsat_mean' & `mean_inf_e_patsat_mean'   & `mean_int_e_patsat_mean' &  `mean_c_e_patsat_mean'   &  `p_diff_tc_e_patsat_mean' & `p_diff_info_e_patsat_mean'   &  `p_diff_inter_e_patsat_mean'   \\
{res}{txt}
{com}.     tex Health outcomes      &  `mean_t_e_healthout_mean' & `mean_inf_e_healthout_mean'   & `mean_int_e_healthout_mean' &  `mean_c_e_healthout_mean'   &  `p_diff_tc_e_healthout_mean' & `p_diff_info_e_healthout_mean'   &  `p_diff_inter_e_healthout_mean'   \\
{res}{txt}
{com}.     tex Mortality      &  `mean_t_e_mortrate_mean' & `mean_inf_e_mortrate_mean'   & `mean_int_e_mortrate_mean' &  `mean_c_e_mortrate_mean'   &  `p_diff_tc_e_mortrate_mean' & `p_diff_info_e_mortrate_mean'   &  `p_diff_inter_e_mortrate_mean'   \\
{res}{txt}
{com}.     tex \midrule
{res}{txt}
{com}.         tex \textit{c -(}D. Endline levels of intermediate outcome indices{c )-} & & & & & & & & \\
{res}{txt}
{com}.         tex \midrule
{res}{txt}
{com}.         tex Citizen knowledge      &  `mean_t_e_ctzknow_mean' & `mean_inf_e_ctzknow_mean'   & `mean_int_e_ctzknow_mean' &  `mean_c_e_ctzknow_mean'   &  `p_diff_tc_e_ctzknow_mean' & `p_diff_info_e_ctzknow_mean'   &  `p_diff_inter_e_ctzknow_mean'   \\
{res}{txt}
{com}.         tex Health worker knowledge      &  `mean_t_e_h_hcpknow_mean' & `mean_inf_e_h_hcpknow_mean'   & `mean_int_e_h_hcpknow_mean' &  `mean_c_e_h_hcpknow_mean'   &  `p_diff_tc_e_h_hcpknow_mean' & `p_diff_info_e_h_hcpknow_mean'   &  `p_diff_inter_e_h_hcpknow_mean'   \\
{res}{txt}
{com}.         tex Efficacy      &  `mean_t_e_eff_mean' & `mean_inf_e_eff_mean'   & `mean_int_e_eff_mean' &  `mean_c_e_eff_mean'   &  `p_diff_tc_e_eff_mean' & `p_diff_info_e_eff_mean'   &  `p_diff_inter_e_eff_mean'   \\
{res}{txt}
{com}.         tex Community responsibility      &  `mean_t_e_commresp_mean' & `mean_inf_e_commresp_mean'   & `mean_int_e_commresp_mean' &  `mean_c_e_commresp_mean'   &  `p_diff_tc_e_commresp_mean' & `p_diff_info_e_commresp_mean'   &  `p_diff_inter_e_commresp_mean'   \\
{res}{txt}
{com}.         tex Community monitoring      &  `mean_t_e_commtg_mean' & `mean_inf_e_commtg_mean'   & `mean_int_e_commtg_mean' &  `mean_c_e_commtg_mean'   &  `p_diff_tc_e_commtg_mean' & `p_diff_info_e_commtg_mean'   &  `p_diff_inter_e_commtg_mean'   \\
{res}{txt}
{com}.         tex Relationship between health workers and community    &  `mean_t_e_relhhhc_mean' & `mean_inf_e_relhhhc_mean'   & `mean_int_e_relhhhc_mean' &  `mean_c_e_relhhhc_mean'   &  `p_diff_tc_e_relhhhc_mean' & `p_diff_info_e_relhhhc_mean'   &  `p_diff_inter_e_relhhhc_mean'   \\
{res}{txt}
{com}.         tex Health center transparency      &  `mean_t_e_h_hctrans_mean' & `mean_inf_e_h_hctrans_mean'   & `mean_int_e_h_hctrans_mean' &  `mean_c_e_h_hctrans_mean'   &  `p_diff_tc_e_h_hctrans_mean' & `p_diff_info_e_h_hctrans_mean'   &  `p_diff_inter_e_h_hctrans_mean'   \\
{res}{txt}
{com}.         tex \midrule
{res}{txt}
{com}.         tex N & `e_n_t' & `e_n_inf' & `e_n_int' & `e_n_c' & & & \\
{res}{txt}
{com}.         tex \bottomrule
{res}{txt}
{com}.         tex \end{c -(}tabular{c )-}
{res}{txt}
{com}.         tex \end{c -(}table{c )-}
{res}{txt}
{com}.         texdoc close
{txt}(texdoc output written to {browse `"/Users/fredericcochinard/Dropbox/ACT_Health_JOP_replication_file/3.Tables and Figures/Tables/TableI55.tex"':/Users/fredericcochinard/Dropbox/ACT_Health_JOP_replication_file/3.Tables and Figures/Tables/TableI55.tex})
{res}{txt}
{com}.         
. 
.         ***********************************************************************************************************
.         * Figure 9: Plotting p-values from two one-sided tests against lambda for main outcome indices at endline *
.         ***********************************************************************************************************
.         
.         eststo clear
{txt}
{com}.         
.         * We load the dataset. This is the light version
.         
.         use "${c -(}usedata{c )-}/chp_el_light_dataset.dta", clear
{txt}
{com}.         
.         * We regress our main indices
. 
.         local indices urate_z treatqual_z patsat_z commtg_z
{txt}
{com}.         local indices_hc mortrate_05 h_ctzpressure_z
{txt}
{com}. 
.         
.         foreach x in `indices' {c -(}
{txt}  2{com}.                 
.                 local y = 0
{txt}  3{com}. 
.                 forvalues i = .001(.001).15 {c -(}
{txt}  4{com}.                 
.                         local y = `y' + 1
{txt}  5{com}.                 
.                         * At endline
.                         
.                         areg  e_`x' treatfull b_`x' b_`x'_d `e_controls_tfull' ``var'_int_e_controls', robust cl(hc_id) a(district) 
{txt}  6{com}.                         
.                         test _b[treatfull] = `i'
{txt}  7{com}.                         loc pval_plus_`y' `r(p)'
{txt}  8{com}. 
.                         test _b[treatfull] =  (-1)*`i'
{txt}  9{com}.                         loc pval_minus_`y' `r(p)'
{txt} 10{com}. 
.                         if `pval_minus_`y'' >=  `pval_plus_`y'' {c -(}
{txt} 11{com}.                                 loc pvale`x'_`y'  `pval_minus_`y''
{txt} 12{com}.                                 {c )-}
{txt} 13{com}. 
.                         if `pval_minus_`y'' <  `pval_plus_`y'' {c -(}
{txt} 14{com}.                                 loc pvale`x'_`y'  `pval_plus_`y''
{txt} 15{com}.                                 {c )-}
{txt} 16{com}.                                 
.                         gen pvale`x'_`y' = `pvale`x'_`y''
{txt} 17{com}.                         
.                         {c )-}
{txt} 18{com}.                         
.                 {c )-}
{txt}note: b_urate_z_d omitted because of collinearity
{res}
{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}     7,288
{txt}{col 49}F({res}   8{txt},{res}    186{txt}){col 67}= {res}    101.14
{txt}{col 49}Prob > F{col 67}= {res}    0.0000
{txt}{col 49}R-squared{col 67}= {res}    0.2301
{txt}{col 49}Adj R-squared{col 67}= {res}    0.2277
{txt}{col 49}Root MSE{col 67}= {res}    0.6612

{txt}{ralign 78:(Std. Err. adjusted for {res:187} clusters in hc_id)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}   e_urate_z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2} .0272817{col 26}{space 2} .0218303{col 37}{space 1}    1.25{col 46}{space 3}0.213{col 54}{space 4}-.0157851{col 67}{space 3} .0703486
{txt}{space 3}b_urate_z {c |}{col 14}{res}{space 2} .3545533{col 26}{space 2} .0146561{col 37}{space 1}   24.19{col 46}{space 3}0.000{col 54}{space 4} .3256398{col 67}{space 3} .3834667
{txt}{space 1}b_urate_z_d {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 1}c_tfull_hc2 {c |}{col 14}{res}{space 2} .0150338{col 26}{space 2} .0288718{col 37}{space 1}    0.52{col 46}{space 3}0.603{col 54}{space 4}-.0419245{col 67}{space 3}  .071992
{txt}c_tfull_b_~l {c |}{col 14}{res}{space 2} .0237715{col 26}{space 2}  .033878{col 37}{space 1}    0.70{col 46}{space 3}0.484{col 54}{space 4}-.0430629{col 67}{space 3}  .090606
{txt}c_tfull_b_~s {c |}{col 14}{res}{space 2} .0295139{col 26}{space 2} .0434455{col 37}{space 1}    0.68{col 46}{space 3}0.498{col 54}{space 4}-.0561953{col 67}{space 3} .1152232
{txt}c_tfull_b_~d {c |}{col 14}{res}{space 2} .1472312{col 26}{space 2} .0420304{col 37}{space 1}    3.50{col 46}{space 3}0.001{col 54}{space 4} .0643136{col 67}{space 3} .2301488
{txt}c_tfull_ed~r {c |}{col 14}{res}{space 2}-.0114403{col 26}{space 2} .0021229{col 37}{space 1}   -5.39{col 46}{space 3}0.000{col 54}{space 4}-.0156284{col 67}{space 3}-.0072523
{txt}c_tfull_b_~x {c |}{col 14}{res}{space 2}-.0444239{col 26}{space 2} .0098167{col 37}{space 1}   -4.53{col 46}{space 3}0.000{col 54}{space 4}-.0637903{col 67}{space 3}-.0250575
{txt}{space 7}_cons {c |}{col 14}{res}{space 2}-.0199136{col 26}{space 2} .0156365{col 37}{space 1}   -1.27{col 46}{space 3}0.204{col 54}{space 4}-.0507613{col 67}{space 3} .0109341
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull = .001{p_end}

{txt}       F(  1,   186) ={res}    1.45
{txt}{col 13}Prob > F ={res}    0.2302

{p 0 7}{space 1}{text:( 1)}{space 1} treatfull = -.001{p_end}

{txt}       F(  1,   186) ={res}    1.68
{txt}{col 13}Prob > F ={res}    0.1967
{txt}note: b_urate_z_d omitted because of collinearity
{res}
{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}     7,288
{txt}{col 49}F({res}   8{txt},{res}    186{txt}){col 67}= {res}    101.14
{txt}{col 49}Prob > F{col 67}= {res}    0.0000
{txt}{col 49}R-squared{col 67}= {res}    0.2301
{txt}{col 49}Adj R-squared{col 67}= {res}    0.2277
{txt}{col 49}Root MSE{col 67}= {res}    0.6612

{txt}{ralign 78:(Std. Err. adjusted for {res:187} clusters in hc_id)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}   e_urate_z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2} .0272817{col 26}{space 2} .0218303{col 37}{space 1}    1.25{col 46}{space 3}0.213{col 54}{space 4}-.0157851{col 67}{space 3} .0703486
{txt}{space 3}b_urate_z {c |}{col 14}{res}{space 2} .3545533{col 26}{space 2} .0146561{col 37}{space 1}   24.19{col 46}{space 3}0.000{col 54}{space 4} .3256398{col 67}{space 3} .3834667
{txt}{space 1}b_urate_z_d {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 1}c_tfull_hc2 {c |}{col 14}{res}{space 2} .0150338{col 26}{space 2} .0288718{col 37}{space 1}    0.52{col 46}{space 3}0.603{col 54}{space 4}-.0419245{col 67}{space 3}  .071992
{txt}c_tfull_b_~l {c |}{col 14}{res}{space 2} .0237715{col 26}{space 2}  .033878{col 37}{space 1}    0.70{col 46}{space 3}0.484{col 54}{space 4}-.0430629{col 67}{space 3}  .090606
{txt}c_tfull_b_~s {c |}{col 14}{res}{space 2} .0295139{col 26}{space 2} .0434455{col 37}{space 1}    0.68{col 46}{space 3}0.498{col 54}{space 4}-.0561953{col 67}{space 3} .1152232
{txt}c_tfull_b_~d {c |}{col 14}{res}{space 2} .1472312{col 26}{space 2} .0420304{col 37}{space 1}    3.50{col 46}{space 3}0.001{col 54}{space 4} .0643136{col 67}{space 3} .2301488
{txt}c_tfull_ed~r {c |}{col 14}{res}{space 2}-.0114403{col 26}{space 2} .0021229{col 37}{space 1}   -5.39{col 46}{space 3}0.000{col 54}{space 4}-.0156284{col 67}{space 3}-.0072523
{txt}c_tfull_b_~x {c |}{col 14}{res}{space 2}-.0444239{col 26}{space 2} .0098167{col 37}{space 1}   -4.53{col 46}{space 3}0.000{col 54}{space 4}-.0637903{col 67}{space 3}-.0250575
{txt}{space 7}_cons {c |}{col 14}{res}{space 2}-.0199136{col 26}{space 2} .0156365{col 37}{space 1}   -1.27{col 46}{space 3}0.204{col 54}{space 4}-.0507613{col 67}{space 3} .0109341
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull = .002{p_end}

{txt}       F(  1,   186) ={res}    1.34
{txt}{col 13}Prob > F ={res}    0.2483

{p 0 7}{space 1}{text:( 1)}{space 1} treatfull = -.002{p_end}

{txt}       F(  1,   186) ={res}    1.80
{txt}{col 13}Prob > F ={res}    0.1814
{txt}note: b_urate_z_d omitted because of collinearity
{res}
{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}     7,288
{txt}{col 49}F({res}   8{txt},{res}    186{txt}){col 67}= {res}    101.14
{txt}{col 49}Prob > F{col 67}= {res}    0.0000
{txt}{col 49}R-squared{col 67}= {res}    0.2301
{txt}{col 49}Adj R-squared{col 67}= {res}    0.2277
{txt}{col 49}Root MSE{col 67}= {res}    0.6612

{txt}{ralign 78:(Std. Err. adjusted for {res:187} clusters in hc_id)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}   e_urate_z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2} .0272817{col 26}{space 2} .0218303{col 37}{space 1}    1.25{col 46}{space 3}0.213{col 54}{space 4}-.0157851{col 67}{space 3} .0703486
{txt}{space 3}b_urate_z {c |}{col 14}{res}{space 2} .3545533{col 26}{space 2} .0146561{col 37}{space 1}   24.19{col 46}{space 3}0.000{col 54}{space 4} .3256398{col 67}{space 3} .3834667
{txt}{space 1}b_urate_z_d {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 1}c_tfull_hc2 {c |}{col 14}{res}{space 2} .0150338{col 26}{space 2} .0288718{col 37}{space 1}    0.52{col 46}{space 3}0.603{col 54}{space 4}-.0419245{col 67}{space 3}  .071992
{txt}c_tfull_b_~l {c |}{col 14}{res}{space 2} .0237715{col 26}{space 2}  .033878{col 37}{space 1}    0.70{col 46}{space 3}0.484{col 54}{space 4}-.0430629{col 67}{space 3}  .090606
{txt}c_tfull_b_~s {c |}{col 14}{res}{space 2} .0295139{col 26}{space 2} .0434455{col 37}{space 1}    0.68{col 46}{space 3}0.498{col 54}{space 4}-.0561953{col 67}{space 3} .1152232
{txt}c_tfull_b_~d {c |}{col 14}{res}{space 2} .1472312{col 26}{space 2} .0420304{col 37}{space 1}    3.50{col 46}{space 3}0.001{col 54}{space 4} .0643136{col 67}{space 3} .2301488
{txt}c_tfull_ed~r {c |}{col 14}{res}{space 2}-.0114403{col 26}{space 2} .0021229{col 37}{space 1}   -5.39{col 46}{space 3}0.000{col 54}{space 4}-.0156284{col 67}{space 3}-.0072523
{txt}c_tfull_b_~x {c |}{col 14}{res}{space 2}-.0444239{col 26}{space 2} .0098167{col 37}{space 1}   -4.53{col 46}{space 3}0.000{col 54}{space 4}-.0637903{col 67}{space 3}-.0250575
{txt}{space 7}_cons {c |}{col 14}{res}{space 2}-.0199136{col 26}{space 2} .0156365{col 37}{space 1}   -1.27{col 46}{space 3}0.204{col 54}{space 4}-.0507613{col 67}{space 3} .0109341
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull = .003{p_end}

{txt}       F(  1,   186) ={res}    1.24
{txt}{col 13}Prob > F ={res}    0.2674

{p 0 7}{space 1}{text:( 1)}{space 1} treatfull = -.003{p_end}

{txt}       F(  1,   186) ={res}    1.92
{txt}{col 13}Prob > F ={res}    0.1671
{txt}note: b_urate_z_d omitted because of collinearity
{res}
{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}     7,288
{txt}{col 49}F({res}   8{txt},{res}    186{txt}){col 67}= {res}    101.14
{txt}{col 49}Prob > F{col 67}= {res}    0.0000
{txt}{col 49}R-squared{col 67}= {res}    0.2301
{txt}{col 49}Adj R-squared{col 67}= {res}    0.2277
{txt}{col 49}Root MSE{col 67}= {res}    0.6612

{txt}{ralign 78:(Std. Err. adjusted for {res:187} clusters in hc_id)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}   e_urate_z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2} .0272817{col 26}{space 2} .0218303{col 37}{space 1}    1.25{col 46}{space 3}0.213{col 54}{space 4}-.0157851{col 67}{space 3} .0703486
{txt}{space 3}b_urate_z {c |}{col 14}{res}{space 2} .3545533{col 26}{space 2} .0146561{col 37}{space 1}   24.19{col 46}{space 3}0.000{col 54}{space 4} .3256398{col 67}{space 3} .3834667
{txt}{space 1}b_urate_z_d {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 1}c_tfull_hc2 {c |}{col 14}{res}{space 2} .0150338{col 26}{space 2} .0288718{col 37}{space 1}    0.52{col 46}{space 3}0.603{col 54}{space 4}-.0419245{col 67}{space 3}  .071992
{txt}c_tfull_b_~l {c |}{col 14}{res}{space 2} .0237715{col 26}{space 2}  .033878{col 37}{space 1}    0.70{col 46}{space 3}0.484{col 54}{space 4}-.0430629{col 67}{space 3}  .090606
{txt}c_tfull_b_~s {c |}{col 14}{res}{space 2} .0295139{col 26}{space 2} .0434455{col 37}{space 1}    0.68{col 46}{space 3}0.498{col 54}{space 4}-.0561953{col 67}{space 3} .1152232
{txt}c_tfull_b_~d {c |}{col 14}{res}{space 2} .1472312{col 26}{space 2} .0420304{col 37}{space 1}    3.50{col 46}{space 3}0.001{col 54}{space 4} .0643136{col 67}{space 3} .2301488
{txt}c_tfull_ed~r {c |}{col 14}{res}{space 2}-.0114403{col 26}{space 2} .0021229{col 37}{space 1}   -5.39{col 46}{space 3}0.000{col 54}{space 4}-.0156284{col 67}{space 3}-.0072523
{txt}c_tfull_b_~x {c |}{col 14}{res}{space 2}-.0444239{col 26}{space 2} .0098167{col 37}{space 1}   -4.53{col 46}{space 3}0.000{col 54}{space 4}-.0637903{col 67}{space 3}-.0250575
{txt}{space 7}_cons {c |}{col 14}{res}{space 2}-.0199136{col 26}{space 2} .0156365{col 37}{space 1}   -1.27{col 46}{space 3}0.204{col 54}{space 4}-.0507613{col 67}{space 3} .0109341
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull = .004{p_end}

{txt}       F(  1,   186) ={res}    1.14
{txt}{col 13}Prob > F ={res}    0.2876

{p 0 7}{space 1}{text:( 1)}{space 1} treatfull = -.004{p_end}

{txt}       F(  1,   186) ={res}    2.05
{txt}{col 13}Prob > F ={res}    0.1536
{txt}note: b_urate_z_d omitted because of collinearity
{res}
{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}     7,288
{txt}{col 49}F({res}   8{txt},{res}    186{txt}){col 67}= {res}    101.14
{txt}{col 49}Prob > F{col 67}= {res}    0.0000
{txt}{col 49}R-squared{col 67}= {res}    0.2301
{txt}{col 49}Adj R-squared{col 67}= {res}    0.2277
{txt}{col 49}Root MSE{col 67}= {res}    0.6612

{txt}{ralign 78:(Std. Err. adjusted for {res:187} clusters in hc_id)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}   e_urate_z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2} .0272817{col 26}{space 2} .0218303{col 37}{space 1}    1.25{col 46}{space 3}0.213{col 54}{space 4}-.0157851{col 67}{space 3} .0703486
{txt}{space 3}b_urate_z {c |}{col 14}{res}{space 2} .3545533{col 26}{space 2} .0146561{col 37}{space 1}   24.19{col 46}{space 3}0.000{col 54}{space 4} .3256398{col 67}{space 3} .3834667
{txt}{space 1}b_urate_z_d {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 1}c_tfull_hc2 {c |}{col 14}{res}{space 2} .0150338{col 26}{space 2} .0288718{col 37}{space 1}    0.52{col 46}{space 3}0.603{col 54}{space 4}-.0419245{col 67}{space 3}  .071992
{txt}c_tfull_b_~l {c |}{col 14}{res}{space 2} .0237715{col 26}{space 2}  .033878{col 37}{space 1}    0.70{col 46}{space 3}0.484{col 54}{space 4}-.0430629{col 67}{space 3}  .090606
{txt}c_tfull_b_~s {c |}{col 14}{res}{space 2} .0295139{col 26}{space 2} .0434455{col 37}{space 1}    0.68{col 46}{space 3}0.498{col 54}{space 4}-.0561953{col 67}{space 3} .1152232
{txt}c_tfull_b_~d {c |}{col 14}{res}{space 2} .1472312{col 26}{space 2} .0420304{col 37}{space 1}    3.50{col 46}{space 3}0.001{col 54}{space 4} .0643136{col 67}{space 3} .2301488
{txt}c_tfull_ed~r {c |}{col 14}{res}{space 2}-.0114403{col 26}{space 2} .0021229{col 37}{space 1}   -5.39{col 46}{space 3}0.000{col 54}{space 4}-.0156284{col 67}{space 3}-.0072523
{txt}c_tfull_b_~x {c |}{col 14}{res}{space 2}-.0444239{col 26}{space 2} .0098167{col 37}{space 1}   -4.53{col 46}{space 3}0.000{col 54}{space 4}-.0637903{col 67}{space 3}-.0250575
{txt}{space 7}_cons {c |}{col 14}{res}{space 2}-.0199136{col 26}{space 2} .0156365{col 37}{space 1}   -1.27{col 46}{space 3}0.204{col 54}{space 4}-.0507613{col 67}{space 3} .0109341
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull = .005{p_end}

{txt}       F(  1,   186) ={res}    1.04
{txt}{col 13}Prob > F ={res}    0.3087

{p 0 7}{space 1}{text:( 1)}{space 1} treatfull = -.005{p_end}

{txt}       F(  1,   186) ={res}    2.19
{txt}{col 13}Prob > F ={res}    0.1409
{txt}note: b_urate_z_d omitted because of collinearity
{res}
{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}     7,288
{txt}{col 49}F({res}   8{txt},{res}    186{txt}){col 67}= {res}    101.14
{txt}{col 49}Prob > F{col 67}= {res}    0.0000
{txt}{col 49}R-squared{col 67}= {res}    0.2301
{txt}{col 49}Adj R-squared{col 67}= {res}    0.2277
{txt}{col 49}Root MSE{col 67}= {res}    0.6612

{txt}{ralign 78:(Std. Err. adjusted for {res:187} clusters in hc_id)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}   e_urate_z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2} .0272817{col 26}{space 2} .0218303{col 37}{space 1}    1.25{col 46}{space 3}0.213{col 54}{space 4}-.0157851{col 67}{space 3} .0703486
{txt}{space 3}b_urate_z {c |}{col 14}{res}{space 2} .3545533{col 26}{space 2} .0146561{col 37}{space 1}   24.19{col 46}{space 3}0.000{col 54}{space 4} .3256398{col 67}{space 3} .3834667
{txt}{space 1}b_urate_z_d {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 1}c_tfull_hc2 {c |}{col 14}{res}{space 2} .0150338{col 26}{space 2} .0288718{col 37}{space 1}    0.52{col 46}{space 3}0.603{col 54}{space 4}-.0419245{col 67}{space 3}  .071992
{txt}c_tfull_b_~l {c |}{col 14}{res}{space 2} .0237715{col 26}{space 2}  .033878{col 37}{space 1}    0.70{col 46}{space 3}0.484{col 54}{space 4}-.0430629{col 67}{space 3}  .090606
{txt}c_tfull_b_~s {c |}{col 14}{res}{space 2} .0295139{col 26}{space 2} .0434455{col 37}{space 1}    0.68{col 46}{space 3}0.498{col 54}{space 4}-.0561953{col 67}{space 3} .1152232
{txt}c_tfull_b_~d {c |}{col 14}{res}{space 2} .1472312{col 26}{space 2} .0420304{col 37}{space 1}    3.50{col 46}{space 3}0.001{col 54}{space 4} .0643136{col 67}{space 3} .2301488
{txt}c_tfull_ed~r {c |}{col 14}{res}{space 2}-.0114403{col 26}{space 2} .0021229{col 37}{space 1}   -5.39{col 46}{space 3}0.000{col 54}{space 4}-.0156284{col 67}{space 3}-.0072523
{txt}c_tfull_b_~x {c |}{col 14}{res}{space 2}-.0444239{col 26}{space 2} .0098167{col 37}{space 1}   -4.53{col 46}{space 3}0.000{col 54}{space 4}-.0637903{col 67}{space 3}-.0250575
{txt}{space 7}_cons {c |}{col 14}{res}{space 2}-.0199136{col 26}{space 2} .0156365{col 37}{space 1}   -1.27{col 46}{space 3}0.204{col 54}{space 4}-.0507613{col 67}{space 3} .0109341
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull = .006{p_end}

{txt}       F(  1,   186) ={res}    0.95
{txt}{col 13}Prob > F ={res}    0.3309

{p 0 7}{space 1}{text:( 1)}{space 1} treatfull = -.006{p_end}

{txt}       F(  1,   186) ={res}    2.32
{txt}{col 13}Prob > F ={res}    0.1291
{txt}note: b_urate_z_d omitted because of collinearity
{res}
{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}     7,288
{txt}{col 49}F({res}   8{txt},{res}    186{txt}){col 67}= {res}    101.14
{txt}{col 49}Prob > F{col 67}= {res}    0.0000
{txt}{col 49}R-squared{col 67}= {res}    0.2301
{txt}{col 49}Adj R-squared{col 67}= {res}    0.2277
{txt}{col 49}Root MSE{col 67}= {res}    0.6612

{txt}{ralign 78:(Std. Err. adjusted for {res:187} clusters in hc_id)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}   e_urate_z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2} .0272817{col 26}{space 2} .0218303{col 37}{space 1}    1.25{col 46}{space 3}0.213{col 54}{space 4}-.0157851{col 67}{space 3} .0703486
{txt}{space 3}b_urate_z {c |}{col 14}{res}{space 2} .3545533{col 26}{space 2} .0146561{col 37}{space 1}   24.19{col 46}{space 3}0.000{col 54}{space 4} .3256398{col 67}{space 3} .3834667
{txt}{space 1}b_urate_z_d {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 1}c_tfull_hc2 {c |}{col 14}{res}{space 2} .0150338{col 26}{space 2} .0288718{col 37}{space 1}    0.52{col 46}{space 3}0.603{col 54}{space 4}-.0419245{col 67}{space 3}  .071992
{txt}c_tfull_b_~l {c |}{col 14}{res}{space 2} .0237715{col 26}{space 2}  .033878{col 37}{space 1}    0.70{col 46}{space 3}0.484{col 54}{space 4}-.0430629{col 67}{space 3}  .090606
{txt}c_tfull_b_~s {c |}{col 14}{res}{space 2} .0295139{col 26}{space 2} .0434455{col 37}{space 1}    0.68{col 46}{space 3}0.498{col 54}{space 4}-.0561953{col 67}{space 3} .1152232
{txt}c_tfull_b_~d {c |}{col 14}{res}{space 2} .1472312{col 26}{space 2} .0420304{col 37}{space 1}    3.50{col 46}{space 3}0.001{col 54}{space 4} .0643136{col 67}{space 3} .2301488
{txt}c_tfull_ed~r {c |}{col 14}{res}{space 2}-.0114403{col 26}{space 2} .0021229{col 37}{space 1}   -5.39{col 46}{space 3}0.000{col 54}{space 4}-.0156284{col 67}{space 3}-.0072523
{txt}c_tfull_b_~x {c |}{col 14}{res}{space 2}-.0444239{col 26}{space 2} .0098167{col 37}{space 1}   -4.53{col 46}{space 3}0.000{col 54}{space 4}-.0637903{col 67}{space 3}-.0250575
{txt}{space 7}_cons {c |}{col 14}{res}{space 2}-.0199136{col 26}{space 2} .0156365{col 37}{space 1}   -1.27{col 46}{space 3}0.204{col 54}{space 4}-.0507613{col 67}{space 3} .0109341
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull = .007{p_end}

{txt}       F(  1,   186) ={res}    0.86
{txt}{col 13}Prob > F ={res}    0.3541

{p 0 7}{space 1}{text:( 1)}{space 1} treatfull = -.007{p_end}

{txt}       F(  1,   186) ={res}    2.47
{txt}{col 13}Prob > F ={res}    0.1180
{txt}note: b_urate_z_d omitted because of collinearity
{res}
{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}     7,288
{txt}{col 49}F({res}   8{txt},{res}    186{txt}){col 67}= {res}    101.14
{txt}{col 49}Prob > F{col 67}= {res}    0.0000
{txt}{col 49}R-squared{col 67}= {res}    0.2301
{txt}{col 49}Adj R-squared{col 67}= {res}    0.2277
{txt}{col 49}Root MSE{col 67}= {res}    0.6612

{txt}{ralign 78:(Std. Err. adjusted for {res:187} clusters in hc_id)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}   e_urate_z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2} .0272817{col 26}{space 2} .0218303{col 37}{space 1}    1.25{col 46}{space 3}0.213{col 54}{space 4}-.0157851{col 67}{space 3} .0703486
{txt}{space 3}b_urate_z {c |}{col 14}{res}{space 2} .3545533{col 26}{space 2} .0146561{col 37}{space 1}   24.19{col 46}{space 3}0.000{col 54}{space 4} .3256398{col 67}{space 3} .3834667
{txt}{space 1}b_urate_z_d {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 1}c_tfull_hc2 {c |}{col 14}{res}{space 2} .0150338{col 26}{space 2} .0288718{col 37}{space 1}    0.52{col 46}{space 3}0.603{col 54}{space 4}-.0419245{col 67}{space 3}  .071992
{txt}c_tfull_b_~l {c |}{col 14}{res}{space 2} .0237715{col 26}{space 2}  .033878{col 37}{space 1}    0.70{col 46}{space 3}0.484{col 54}{space 4}-.0430629{col 67}{space 3}  .090606
{txt}c_tfull_b_~s {c |}{col 14}{res}{space 2} .0295139{col 26}{space 2} .0434455{col 37}{space 1}    0.68{col 46}{space 3}0.498{col 54}{space 4}-.0561953{col 67}{space 3} .1152232
{txt}c_tfull_b_~d {c |}{col 14}{res}{space 2} .1472312{col 26}{space 2} .0420304{col 37}{space 1}    3.50{col 46}{space 3}0.001{col 54}{space 4} .0643136{col 67}{space 3} .2301488
{txt}c_tfull_ed~r {c |}{col 14}{res}{space 2}-.0114403{col 26}{space 2} .0021229{col 37}{space 1}   -5.39{col 46}{space 3}0.000{col 54}{space 4}-.0156284{col 67}{space 3}-.0072523
{txt}c_tfull_b_~x {c |}{col 14}{res}{space 2}-.0444239{col 26}{space 2} .0098167{col 37}{space 1}   -4.53{col 46}{space 3}0.000{col 54}{space 4}-.0637903{col 67}{space 3}-.0250575
{txt}{space 7}_cons {c |}{col 14}{res}{space 2}-.0199136{col 26}{space 2} .0156365{col 37}{space 1}   -1.27{col 46}{space 3}0.204{col 54}{space 4}-.0507613{col 67}{space 3} .0109341
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull = .008{p_end}

{txt}       F(  1,   186) ={res}    0.78
{txt}{col 13}Prob > F ={res}    0.3782

{p 0 7}{space 1}{text:( 1)}{space 1} treatfull = -.008{p_end}

{txt}       F(  1,   186) ={res}    2.61
{txt}{col 13}Prob > F ={res}    0.1077
{txt}note: b_urate_z_d omitted because of collinearity
{res}
{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}     7,288
{txt}{col 49}F({res}   8{txt},{res}    186{txt}){col 67}= {res}    101.14
{txt}{col 49}Prob > F{col 67}= {res}    0.0000
{txt}{col 49}R-squared{col 67}= {res}    0.2301
{txt}{col 49}Adj R-squared{col 67}= {res}    0.2277
{txt}{col 49}Root MSE{col 67}= {res}    0.6612

{txt}{ralign 78:(Std. Err. adjusted for {res:187} clusters in hc_id)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}   e_urate_z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2} .0272817{col 26}{space 2} .0218303{col 37}{space 1}    1.25{col 46}{space 3}0.213{col 54}{space 4}-.0157851{col 67}{space 3} .0703486
{txt}{space 3}b_urate_z {c |}{col 14}{res}{space 2} .3545533{col 26}{space 2} .0146561{col 37}{space 1}   24.19{col 46}{space 3}0.000{col 54}{space 4} .3256398{col 67}{space 3} .3834667
{txt}{space 1}b_urate_z_d {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 1}c_tfull_hc2 {c |}{col 14}{res}{space 2} .0150338{col 26}{space 2} .0288718{col 37}{space 1}    0.52{col 46}{space 3}0.603{col 54}{space 4}-.0419245{col 67}{space 3}  .071992
{txt}c_tfull_b_~l {c |}{col 14}{res}{space 2} .0237715{col 26}{space 2}  .033878{col 37}{space 1}    0.70{col 46}{space 3}0.484{col 54}{space 4}-.0430629{col 67}{space 3}  .090606
{txt}c_tfull_b_~s {c |}{col 14}{res}{space 2} .0295139{col 26}{space 2} .0434455{col 37}{space 1}    0.68{col 46}{space 3}0.498{col 54}{space 4}-.0561953{col 67}{space 3} .1152232
{txt}c_tfull_b_~d {c |}{col 14}{res}{space 2} .1472312{col 26}{space 2} .0420304{col 37}{space 1}    3.50{col 46}{space 3}0.001{col 54}{space 4} .0643136{col 67}{space 3} .2301488
{txt}c_tfull_ed~r {c |}{col 14}{res}{space 2}-.0114403{col 26}{space 2} .0021229{col 37}{space 1}   -5.39{col 46}{space 3}0.000{col 54}{space 4}-.0156284{col 67}{space 3}-.0072523
{txt}c_tfull_b_~x {c |}{col 14}{res}{space 2}-.0444239{col 26}{space 2} .0098167{col 37}{space 1}   -4.53{col 46}{space 3}0.000{col 54}{space 4}-.0637903{col 67}{space 3}-.0250575
{txt}{space 7}_cons {c |}{col 14}{res}{space 2}-.0199136{col 26}{space 2} .0156365{col 37}{space 1}   -1.27{col 46}{space 3}0.204{col 54}{space 4}-.0507613{col 67}{space 3} .0109341
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull = .009{p_end}

{txt}       F(  1,   186) ={res}    0.70
{txt}{col 13}Prob > F ={res}    0.4034

{p 0 7}{space 1}{text:( 1)}{space 1} treatfull = -.009{p_end}

{txt}       F(  1,   186) ={res}    2.76
{txt}{col 13}Prob > F ={res}    0.0982
{txt}note: b_urate_z_d omitted because of collinearity
{res}
{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}     7,288
{txt}{col 49}F({res}   8{txt},{res}    186{txt}){col 67}= {res}    101.14
{txt}{col 49}Prob > F{col 67}= {res}    0.0000
{txt}{col 49}R-squared{col 67}= {res}    0.2301
{txt}{col 49}Adj R-squared{col 67}= {res}    0.2277
{txt}{col 49}Root MSE{col 67}= {res}    0.6612

{txt}{ralign 78:(Std. Err. adjusted for {res:187} clusters in hc_id)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}   e_urate_z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2} .0272817{col 26}{space 2} .0218303{col 37}{space 1}    1.25{col 46}{space 3}0.213{col 54}{space 4}-.0157851{col 67}{space 3} .0703486
{txt}{space 3}b_urate_z {c |}{col 14}{res}{space 2} .3545533{col 26}{space 2} .0146561{col 37}{space 1}   24.19{col 46}{space 3}0.000{col 54}{space 4} .3256398{col 67}{space 3} .3834667
{txt}{space 1}b_urate_z_d {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 1}c_tfull_hc2 {c |}{col 14}{res}{space 2} .0150338{col 26}{space 2} .0288718{col 37}{space 1}    0.52{col 46}{space 3}0.603{col 54}{space 4}-.0419245{col 67}{space 3}  .071992
{txt}c_tfull_b_~l {c |}{col 14}{res}{space 2} .0237715{col 26}{space 2}  .033878{col 37}{space 1}    0.70{col 46}{space 3}0.484{col 54}{space 4}-.0430629{col 67}{space 3}  .090606
{txt}c_tfull_b_~s {c |}{col 14}{res}{space 2} .0295139{col 26}{space 2} .0434455{col 37}{space 1}    0.68{col 46}{space 3}0.498{col 54}{space 4}-.0561953{col 67}{space 3} .1152232
{txt}c_tfull_b_~d {c |}{col 14}{res}{space 2} .1472312{col 26}{space 2} .0420304{col 37}{space 1}    3.50{col 46}{space 3}0.001{col 54}{space 4} .0643136{col 67}{space 3} .2301488
{txt}c_tfull_ed~r {c |}{col 14}{res}{space 2}-.0114403{col 26}{space 2} .0021229{col 37}{space 1}   -5.39{col 46}{space 3}0.000{col 54}{space 4}-.0156284{col 67}{space 3}-.0072523
{txt}c_tfull_b_~x {c |}{col 14}{res}{space 2}-.0444239{col 26}{space 2} .0098167{col 37}{space 1}   -4.53{col 46}{space 3}0.000{col 54}{space 4}-.0637903{col 67}{space 3}-.0250575
{txt}{space 7}_cons {c |}{col 14}{res}{space 2}-.0199136{col 26}{space 2} .0156365{col 37}{space 1}   -1.27{col 46}{space 3}0.204{col 54}{space 4}-.0507613{col 67}{space 3} .0109341
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull = .01{p_end}

{txt}       F(  1,   186) ={res}    0.63
{txt}{col 13}Prob > F ={res}    0.4296

{p 0 7}{space 1}{text:( 1)}{space 1} treatfull = -.01{p_end}

{txt}       F(  1,   186) ={res}    2.92
{txt}{col 13}Prob > F ={res}    0.0893
{txt}note: b_urate_z_d omitted because of collinearity
{res}
{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}     7,288
{txt}{col 49}F({res}   8{txt},{res}    186{txt}){col 67}= {res}    101.14
{txt}{col 49}Prob > F{col 67}= {res}    0.0000
{txt}{col 49}R-squared{col 67}= {res}    0.2301
{txt}{col 49}Adj R-squared{col 67}= {res}    0.2277
{txt}{col 49}Root MSE{col 67}= {res}    0.6612

{txt}{ralign 78:(Std. Err. adjusted for {res:187} clusters in hc_id)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}   e_urate_z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2} .0272817{col 26}{space 2} .0218303{col 37}{space 1}    1.25{col 46}{space 3}0.213{col 54}{space 4}-.0157851{col 67}{space 3} .0703486
{txt}{space 3}b_urate_z {c |}{col 14}{res}{space 2} .3545533{col 26}{space 2} .0146561{col 37}{space 1}   24.19{col 46}{space 3}0.000{col 54}{space 4} .3256398{col 67}{space 3} .3834667
{txt}{space 1}b_urate_z_d {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 1}c_tfull_hc2 {c |}{col 14}{res}{space 2} .0150338{col 26}{space 2} .0288718{col 37}{space 1}    0.52{col 46}{space 3}0.603{col 54}{space 4}-.0419245{col 67}{space 3}  .071992
{txt}c_tfull_b_~l {c |}{col 14}{res}{space 2} .0237715{col 26}{space 2}  .033878{col 37}{space 1}    0.70{col 46}{space 3}0.484{col 54}{space 4}-.0430629{col 67}{space 3}  .090606
{txt}c_tfull_b_~s {c |}{col 14}{res}{space 2} .0295139{col 26}{space 2} .0434455{col 37}{space 1}    0.68{col 46}{space 3}0.498{col 54}{space 4}-.0561953{col 67}{space 3} .1152232
{txt}c_tfull_b_~d {c |}{col 14}{res}{space 2} .1472312{col 26}{space 2} .0420304{col 37}{space 1}    3.50{col 46}{space 3}0.001{col 54}{space 4} .0643136{col 67}{space 3} .2301488
{txt}c_tfull_ed~r {c |}{col 14}{res}{space 2}-.0114403{col 26}{space 2} .0021229{col 37}{space 1}   -5.39{col 46}{space 3}0.000{col 54}{space 4}-.0156284{col 67}{space 3}-.0072523
{txt}c_tfull_b_~x {c |}{col 14}{res}{space 2}-.0444239{col 26}{space 2} .0098167{col 37}{space 1}   -4.53{col 46}{space 3}0.000{col 54}{space 4}-.0637903{col 67}{space 3}-.0250575
{txt}{space 7}_cons {c |}{col 14}{res}{space 2}-.0199136{col 26}{space 2} .0156365{col 37}{space 1}   -1.27{col 46}{space 3}0.204{col 54}{space 4}-.0507613{col 67}{space 3} .0109341
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull = .011{p_end}

{txt}       F(  1,   186) ={res}    0.56
{txt}{col 13}Prob > F ={res}    0.4567

{p 0 7}{space 1}{text:( 1)}{space 1} treatfull = -.011{p_end}

{txt}       F(  1,   186) ={res}    3.08
{txt}{col 13}Prob > F ={res}    0.0811
{txt}note: b_urate_z_d omitted because of collinearity
{res}
{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}     7,288
{txt}{col 49}F({res}   8{txt},{res}    186{txt}){col 67}= {res}    101.14
{txt}{col 49}Prob > F{col 67}= {res}    0.0000
{txt}{col 49}R-squared{col 67}= {res}    0.2301
{txt}{col 49}Adj R-squared{col 67}= {res}    0.2277
{txt}{col 49}Root MSE{col 67}= {res}    0.6612

{txt}{ralign 78:(Std. Err. adjusted for {res:187} clusters in hc_id)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}   e_urate_z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2} .0272817{col 26}{space 2} .0218303{col 37}{space 1}    1.25{col 46}{space 3}0.213{col 54}{space 4}-.0157851{col 67}{space 3} .0703486
{txt}{space 3}b_urate_z {c |}{col 14}{res}{space 2} .3545533{col 26}{space 2} .0146561{col 37}{space 1}   24.19{col 46}{space 3}0.000{col 54}{space 4} .3256398{col 67}{space 3} .3834667
{txt}{space 1}b_urate_z_d {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 1}c_tfull_hc2 {c |}{col 14}{res}{space 2} .0150338{col 26}{space 2} .0288718{col 37}{space 1}    0.52{col 46}{space 3}0.603{col 54}{space 4}-.0419245{col 67}{space 3}  .071992
{txt}c_tfull_b_~l {c |}{col 14}{res}{space 2} .0237715{col 26}{space 2}  .033878{col 37}{space 1}    0.70{col 46}{space 3}0.484{col 54}{space 4}-.0430629{col 67}{space 3}  .090606
{txt}c_tfull_b_~s {c |}{col 14}{res}{space 2} .0295139{col 26}{space 2} .0434455{col 37}{space 1}    0.68{col 46}{space 3}0.498{col 54}{space 4}-.0561953{col 67}{space 3} .1152232
{txt}c_tfull_b_~d {c |}{col 14}{res}{space 2} .1472312{col 26}{space 2} .0420304{col 37}{space 1}    3.50{col 46}{space 3}0.001{col 54}{space 4} .0643136{col 67}{space 3} .2301488
{txt}c_tfull_ed~r {c |}{col 14}{res}{space 2}-.0114403{col 26}{space 2} .0021229{col 37}{space 1}   -5.39{col 46}{space 3}0.000{col 54}{space 4}-.0156284{col 67}{space 3}-.0072523
{txt}c_tfull_b_~x {c |}{col 14}{res}{space 2}-.0444239{col 26}{space 2} .0098167{col 37}{space 1}   -4.53{col 46}{space 3}0.000{col 54}{space 4}-.0637903{col 67}{space 3}-.0250575
{txt}{space 7}_cons {c |}{col 14}{res}{space 2}-.0199136{col 26}{space 2} .0156365{col 37}{space 1}   -1.27{col 46}{space 3}0.204{col 54}{space 4}-.0507613{col 67}{space 3} .0109341
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull = .012{p_end}

{txt}       F(  1,   186) ={res}    0.49
{txt}{col 13}Prob > F ={res}    0.4848

{p 0 7}{space 1}{text:( 1)}{space 1} treatfull = -.012{p_end}

{txt}       F(  1,   186) ={res}    3.24
{txt}{col 13}Prob > F ={res}    0.0736
{txt}note: b_urate_z_d omitted because of collinearity
{res}
{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}     7,288
{txt}{col 49}F({res}   8{txt},{res}    186{txt}){col 67}= {res}    101.14
{txt}{col 49}Prob > F{col 67}= {res}    0.0000
{txt}{col 49}R-squared{col 67}= {res}    0.2301
{txt}{col 49}Adj R-squared{col 67}= {res}    0.2277
{txt}{col 49}Root MSE{col 67}= {res}    0.6612

{txt}{ralign 78:(Std. Err. adjusted for {res:187} clusters in hc_id)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}   e_urate_z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2} .0272817{col 26}{space 2} .0218303{col 37}{space 1}    1.25{col 46}{space 3}0.213{col 54}{space 4}-.0157851{col 67}{space 3} .0703486
{txt}{space 3}b_urate_z {c |}{col 14}{res}{space 2} .3545533{col 26}{space 2} .0146561{col 37}{space 1}   24.19{col 46}{space 3}0.000{col 54}{space 4} .3256398{col 67}{space 3} .3834667
{txt}{space 1}b_urate_z_d {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 1}c_tfull_hc2 {c |}{col 14}{res}{space 2} .0150338{col 26}{space 2} .0288718{col 37}{space 1}    0.52{col 46}{space 3}0.603{col 54}{space 4}-.0419245{col 67}{space 3}  .071992
{txt}c_tfull_b_~l {c |}{col 14}{res}{space 2} .0237715{col 26}{space 2}  .033878{col 37}{space 1}    0.70{col 46}{space 3}0.484{col 54}{space 4}-.0430629{col 67}{space 3}  .090606
{txt}c_tfull_b_~s {c |}{col 14}{res}{space 2} .0295139{col 26}{space 2} .0434455{col 37}{space 1}    0.68{col 46}{space 3}0.498{col 54}{space 4}-.0561953{col 67}{space 3} .1152232
{txt}c_tfull_b_~d {c |}{col 14}{res}{space 2} .1472312{col 26}{space 2} .0420304{col 37}{space 1}    3.50{col 46}{space 3}0.001{col 54}{space 4} .0643136{col 67}{space 3} .2301488
{txt}c_tfull_ed~r {c |}{col 14}{res}{space 2}-.0114403{col 26}{space 2} .0021229{col 37}{space 1}   -5.39{col 46}{space 3}0.000{col 54}{space 4}-.0156284{col 67}{space 3}-.0072523
{txt}c_tfull_b_~x {c |}{col 14}{res}{space 2}-.0444239{col 26}{space 2} .0098167{col 37}{space 1}   -4.53{col 46}{space 3}0.000{col 54}{space 4}-.0637903{col 67}{space 3}-.0250575
{txt}{space 7}_cons {c |}{col 14}{res}{space 2}-.0199136{col 26}{space 2} .0156365{col 37}{space 1}   -1.27{col 46}{space 3}0.204{col 54}{space 4}-.0507613{col 67}{space 3} .0109341
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull = .013{p_end}

{txt}       F(  1,   186) ={res}    0.43
{txt}{col 13}Prob > F ={res}    0.5138

{p 0 7}{space 1}{text:( 1)}{space 1} treatfull = -.013{p_end}

{txt}       F(  1,   186) ={res}    3.40
{txt}{col 13}Prob > F ={res}    0.0666
{txt}note: b_urate_z_d omitted because of collinearity
{res}
{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}     7,288
{txt}{col 49}F({res}   8{txt},{res}    186{txt}){col 67}= {res}    101.14
{txt}{col 49}Prob > F{col 67}= {res}    0.0000
{txt}{col 49}R-squared{col 67}= {res}    0.2301
{txt}{col 49}Adj R-squared{col 67}= {res}    0.2277
{txt}{col 49}Root MSE{col 67}= {res}    0.6612

{txt}{ralign 78:(Std. Err. adjusted for {res:187} clusters in hc_id)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}   e_urate_z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2} .0272817{col 26}{space 2} .0218303{col 37}{space 1}    1.25{col 46}{space 3}0.213{col 54}{space 4}-.0157851{col 67}{space 3} .0703486
{txt}{space 3}b_urate_z {c |}{col 14}{res}{space 2} .3545533{col 26}{space 2} .0146561{col 37}{space 1}   24.19{col 46}{space 3}0.000{col 54}{space 4} .3256398{col 67}{space 3} .3834667
{txt}{space 1}b_urate_z_d {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 1}c_tfull_hc2 {c |}{col 14}{res}{space 2} .0150338{col 26}{space 2} .0288718{col 37}{space 1}    0.52{col 46}{space 3}0.603{col 54}{space 4}-.0419245{col 67}{space 3}  .071992
{txt}c_tfull_b_~l {c |}{col 14}{res}{space 2} .0237715{col 26}{space 2}  .033878{col 37}{space 1}    0.70{col 46}{space 3}0.484{col 54}{space 4}-.0430629{col 67}{space 3}  .090606
{txt}c_tfull_b_~s {c |}{col 14}{res}{space 2} .0295139{col 26}{space 2} .0434455{col 37}{space 1}    0.68{col 46}{space 3}0.498{col 54}{space 4}-.0561953{col 67}{space 3} .1152232
{txt}c_tfull_b_~d {c |}{col 14}{res}{space 2} .1472312{col 26}{space 2} .0420304{col 37}{space 1}    3.50{col 46}{space 3}0.001{col 54}{space 4} .0643136{col 67}{space 3} .2301488
{txt}c_tfull_ed~r {c |}{col 14}{res}{space 2}-.0114403{col 26}{space 2} .0021229{col 37}{space 1}   -5.39{col 46}{space 3}0.000{col 54}{space 4}-.0156284{col 67}{space 3}-.0072523
{txt}c_tfull_b_~x {c |}{col 14}{res}{space 2}-.0444239{col 26}{space 2} .0098167{col 37}{space 1}   -4.53{col 46}{space 3}0.000{col 54}{space 4}-.0637903{col 67}{space 3}-.0250575
{txt}{space 7}_cons {c |}{col 14}{res}{space 2}-.0199136{col 26}{space 2} .0156365{col 37}{space 1}   -1.27{col 46}{space 3}0.204{col 54}{space 4}-.0507613{col 67}{space 3} .0109341
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull = .014{p_end}

{txt}       F(  1,   186) ={res}    0.37
{txt}{col 13}Prob > F ={res}    0.5437

{p 0 7}{space 1}{text:( 1)}{space 1} treatfull = -.014{p_end}

{txt}       F(  1,   186) ={res}    3.58
{txt}{col 13}Prob > F ={res}    0.0602
{txt}note: b_urate_z_d omitted because of collinearity
{res}
{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}     7,288
{txt}{col 49}F({res}   8{txt},{res}    186{txt}){col 67}= {res}    101.14
{txt}{col 49}Prob > F{col 67}= {res}    0.0000
{txt}{col 49}R-squared{col 67}= {res}    0.2301
{txt}{col 49}Adj R-squared{col 67}= {res}    0.2277
{txt}{col 49}Root MSE{col 67}= {res}    0.6612

{txt}{ralign 78:(Std. Err. adjusted for {res:187} clusters in hc_id)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}   e_urate_z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2} .0272817{col 26}{space 2} .0218303{col 37}{space 1}    1.25{col 46}{space 3}0.213{col 54}{space 4}-.0157851{col 67}{space 3} .0703486
{txt}{space 3}b_urate_z {c |}{col 14}{res}{space 2} .3545533{col 26}{space 2} .0146561{col 37}{space 1}   24.19{col 46}{space 3}0.000{col 54}{space 4} .3256398{col 67}{space 3} .3834667
{txt}{space 1}b_urate_z_d {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 1}c_tfull_hc2 {c |}{col 14}{res}{space 2} .0150338{col 26}{space 2} .0288718{col 37}{space 1}    0.52{col 46}{space 3}0.603{col 54}{space 4}-.0419245{col 67}{space 3}  .071992
{txt}c_tfull_b_~l {c |}{col 14}{res}{space 2} .0237715{col 26}{space 2}  .033878{col 37}{space 1}    0.70{col 46}{space 3}0.484{col 54}{space 4}-.0430629{col 67}{space 3}  .090606
{txt}c_tfull_b_~s {c |}{col 14}{res}{space 2} .0295139{col 26}{space 2} .0434455{col 37}{space 1}    0.68{col 46}{space 3}0.498{col 54}{space 4}-.0561953{col 67}{space 3} .1152232
{txt}c_tfull_b_~d {c |}{col 14}{res}{space 2} .1472312{col 26}{space 2} .0420304{col 37}{space 1}    3.50{col 46}{space 3}0.001{col 54}{space 4} .0643136{col 67}{space 3} .2301488
{txt}c_tfull_ed~r {c |}{col 14}{res}{space 2}-.0114403{col 26}{space 2} .0021229{col 37}{space 1}   -5.39{col 46}{space 3}0.000{col 54}{space 4}-.0156284{col 67}{space 3}-.0072523
{txt}c_tfull_b_~x {c |}{col 14}{res}{space 2}-.0444239{col 26}{space 2} .0098167{col 37}{space 1}   -4.53{col 46}{space 3}0.000{col 54}{space 4}-.0637903{col 67}{space 3}-.0250575
{txt}{space 7}_cons {c |}{col 14}{res}{space 2}-.0199136{col 26}{space 2} .0156365{col 37}{space 1}   -1.27{col 46}{space 3}0.204{col 54}{space 4}-.0507613{col 67}{space 3} .0109341
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull = .015{p_end}

{txt}       F(  1,   186) ={res}    0.32
{txt}{col 13}Prob > F ={res}    0.5744

{p 0 7}{space 1}{text:( 1)}{space 1} treatfull = -.015{p_end}

{txt}       F(  1,   186) ={res}    3.75
{txt}{col 13}Prob > F ={res}    0.0543
{txt}note: b_urate_z_d omitted because of collinearity
{res}
{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}     7,288
{txt}{col 49}F({res}   8{txt},{res}    186{txt}){col 67}= {res}    101.14
{txt}{col 49}Prob > F{col 67}= {res}    0.0000
{txt}{col 49}R-squared{col 67}= {res}    0.2301
{txt}{col 49}Adj R-squared{col 67}= {res}    0.2277
{txt}{col 49}Root MSE{col 67}= {res}    0.6612

{txt}{ralign 78:(Std. Err. adjusted for {res:187} clusters in hc_id)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}   e_urate_z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2} .0272817{col 26}{space 2} .0218303{col 37}{space 1}    1.25{col 46}{space 3}0.213{col 54}{space 4}-.0157851{col 67}{space 3} .0703486
{txt}{space 3}b_urate_z {c |}{col 14}{res}{space 2} .3545533{col 26}{space 2} .0146561{col 37}{space 1}   24.19{col 46}{space 3}0.000{col 54}{space 4} .3256398{col 67}{space 3} .3834667
{txt}{space 1}b_urate_z_d {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 1}c_tfull_hc2 {c |}{col 14}{res}{space 2} .0150338{col 26}{space 2} .0288718{col 37}{space 1}    0.52{col 46}{space 3}0.603{col 54}{space 4}-.0419245{col 67}{space 3}  .071992
{txt}c_tfull_b_~l {c |}{col 14}{res}{space 2} .0237715{col 26}{space 2}  .033878{col 37}{space 1}    0.70{col 46}{space 3}0.484{col 54}{space 4}-.0430629{col 67}{space 3}  .090606
{txt}c_tfull_b_~s {c |}{col 14}{res}{space 2} .0295139{col 26}{space 2} .0434455{col 37}{space 1}    0.68{col 46}{space 3}0.498{col 54}{space 4}-.0561953{col 67}{space 3} .1152232
{txt}c_tfull_b_~d {c |}{col 14}{res}{space 2} .1472312{col 26}{space 2} .0420304{col 37}{space 1}    3.50{col 46}{space 3}0.001{col 54}{space 4} .0643136{col 67}{space 3} .2301488
{txt}c_tfull_ed~r {c |}{col 14}{res}{space 2}-.0114403{col 26}{space 2} .0021229{col 37}{space 1}   -5.39{col 46}{space 3}0.000{col 54}{space 4}-.0156284{col 67}{space 3}-.0072523
{txt}c_tfull_b_~x {c |}{col 14}{res}{space 2}-.0444239{col 26}{space 2} .0098167{col 37}{space 1}   -4.53{col 46}{space 3}0.000{col 54}{space 4}-.0637903{col 67}{space 3}-.0250575
{txt}{space 7}_cons {c |}{col 14}{res}{space 2}-.0199136{col 26}{space 2} .0156365{col 37}{space 1}   -1.27{col 46}{space 3}0.204{col 54}{space 4}-.0507613{col 67}{space 3} .0109341
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull = .016{p_end}

{txt}       F(  1,   186) ={res}    0.27
{txt}{col 13}Prob > F ={res}    0.6059

{p 0 7}{space 1}{text:( 1)}{space 1} treatfull = -.016{p_end}

{txt}       F(  1,   186) ={res}    3.93
{txt}{col 13}Prob > F ={res}    0.0489
{txt}note: b_urate_z_d omitted because of collinearity
{res}
{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}     7,288
{txt}{col 49}F({res}   8{txt},{res}    186{txt}){col 67}= {res}    101.14
{txt}{col 49}Prob > F{col 67}= {res}    0.0000
{txt}{col 49}R-squared{col 67}= {res}    0.2301
{txt}{col 49}Adj R-squared{col 67}= {res}    0.2277
{txt}{col 49}Root MSE{col 67}= {res}    0.6612

{txt}{ralign 78:(Std. Err. adjusted for {res:187} clusters in hc_id)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}   e_urate_z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2} .0272817{col 26}{space 2} .0218303{col 37}{space 1}    1.25{col 46}{space 3}0.213{col 54}{space 4}-.0157851{col 67}{space 3} .0703486
{txt}{space 3}b_urate_z {c |}{col 14}{res}{space 2} .3545533{col 26}{space 2} .0146561{col 37}{space 1}   24.19{col 46}{space 3}0.000{col 54}{space 4} .3256398{col 67}{space 3} .3834667
{txt}{space 1}b_urate_z_d {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 1}c_tfull_hc2 {c |}{col 14}{res}{space 2} .0150338{col 26}{space 2} .0288718{col 37}{space 1}    0.52{col 46}{space 3}0.603{col 54}{space 4}-.0419245{col 67}{space 3}  .071992
{txt}c_tfull_b_~l {c |}{col 14}{res}{space 2} .0237715{col 26}{space 2}  .033878{col 37}{space 1}    0.70{col 46}{space 3}0.484{col 54}{space 4}-.0430629{col 67}{space 3}  .090606
{txt}c_tfull_b_~s {c |}{col 14}{res}{space 2} .0295139{col 26}{space 2} .0434455{col 37}{space 1}    0.68{col 46}{space 3}0.498{col 54}{space 4}-.0561953{col 67}{space 3} .1152232
{txt}c_tfull_b_~d {c |}{col 14}{res}{space 2} .1472312{col 26}{space 2} .0420304{col 37}{space 1}    3.50{col 46}{space 3}0.001{col 54}{space 4} .0643136{col 67}{space 3} .2301488
{txt}c_tfull_ed~r {c |}{col 14}{res}{space 2}-.0114403{col 26}{space 2} .0021229{col 37}{space 1}   -5.39{col 46}{space 3}0.000{col 54}{space 4}-.0156284{col 67}{space 3}-.0072523
{txt}c_tfull_b_~x {c |}{col 14}{res}{space 2}-.0444239{col 26}{space 2} .0098167{col 37}{space 1}   -4.53{col 46}{space 3}0.000{col 54}{space 4}-.0637903{col 67}{space 3}-.0250575
{txt}{space 7}_cons {c |}{col 14}{res}{space 2}-.0199136{col 26}{space 2} .0156365{col 37}{space 1}   -1.27{col 46}{space 3}0.204{col 54}{space 4}-.0507613{col 67}{space 3} .0109341
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull = .017{p_end}

{txt}       F(  1,   186) ={res}    0.22
{txt}{col 13}Prob > F ={res}    0.6382

{p 0 7}{space 1}{text:( 1)}{space 1} treatfull = -.017{p_end}

{txt}       F(  1,   186) ={res}    4.11
{txt}{col 13}Prob > F ={res}    0.0439
{txt}note: b_urate_z_d omitted because of collinearity
{res}
{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}     7,288
{txt}{col 49}F({res}   8{txt},{res}    186{txt}){col 67}= {res}    101.14
{txt}{col 49}Prob > F{col 67}= {res}    0.0000
{txt}{col 49}R-squared{col 67}= {res}    0.2301
{txt}{col 49}Adj R-squared{col 67}= {res}    0.2277
{txt}{col 49}Root MSE{col 67}= {res}    0.6612

{txt}{ralign 78:(Std. Err. adjusted for {res:187} clusters in hc_id)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}   e_urate_z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2} .0272817{col 26}{space 2} .0218303{col 37}{space 1}    1.25{col 46}{space 3}0.213{col 54}{space 4}-.0157851{col 67}{space 3} .0703486
{txt}{space 3}b_urate_z {c |}{col 14}{res}{space 2} .3545533{col 26}{space 2} .0146561{col 37}{space 1}   24.19{col 46}{space 3}0.000{col 54}{space 4} .3256398{col 67}{space 3} .3834667
{txt}{space 1}b_urate_z_d {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 1}c_tfull_hc2 {c |}{col 14}{res}{space 2} .0150338{col 26}{space 2} .0288718{col 37}{space 1}    0.52{col 46}{space 3}0.603{col 54}{space 4}-.0419245{col 67}{space 3}  .071992
{txt}c_tfull_b_~l {c |}{col 14}{res}{space 2} .0237715{col 26}{space 2}  .033878{col 37}{space 1}    0.70{col 46}{space 3}0.484{col 54}{space 4}-.0430629{col 67}{space 3}  .090606
{txt}c_tfull_b_~s {c |}{col 14}{res}{space 2} .0295139{col 26}{space 2} .0434455{col 37}{space 1}    0.68{col 46}{space 3}0.498{col 54}{space 4}-.0561953{col 67}{space 3} .1152232
{txt}c_tfull_b_~d {c |}{col 14}{res}{space 2} .1472312{col 26}{space 2} .0420304{col 37}{space 1}    3.50{col 46}{space 3}0.001{col 54}{space 4} .0643136{col 67}{space 3} .2301488
{txt}c_tfull_ed~r {c |}{col 14}{res}{space 2}-.0114403{col 26}{space 2} .0021229{col 37}{space 1}   -5.39{col 46}{space 3}0.000{col 54}{space 4}-.0156284{col 67}{space 3}-.0072523
{txt}c_tfull_b_~x {c |}{col 14}{res}{space 2}-.0444239{col 26}{space 2} .0098167{col 37}{space 1}   -4.53{col 46}{space 3}0.000{col 54}{space 4}-.0637903{col 67}{space 3}-.0250575
{txt}{space 7}_cons {c |}{col 14}{res}{space 2}-.0199136{col 26}{space 2} .0156365{col 37}{space 1}   -1.27{col 46}{space 3}0.204{col 54}{space 4}-.0507613{col 67}{space 3} .0109341
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull = .018{p_end}

{txt}       F(  1,   186) ={res}    0.18
{txt}{col 13}Prob > F ={res}    0.6712

{p 0 7}{space 1}{text:( 1)}{space 1} treatfull = -.018{p_end}

{txt}       F(  1,   186) ={res}    4.30
{txt}{col 13}Prob > F ={res}    0.0394
{txt}note: b_urate_z_d omitted because of collinearity
{res}
{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}     7,288
{txt}{col 49}F({res}   8{txt},{res}    186{txt}){col 67}= {res}    101.14
{txt}{col 49}Prob > F{col 67}= {res}    0.0000
{txt}{col 49}R-squared{col 67}= {res}    0.2301
{txt}{col 49}Adj R-squared{col 67}= {res}    0.2277
{txt}{col 49}Root MSE{col 67}= {res}    0.6612

{txt}{ralign 78:(Std. Err. adjusted for {res:187} clusters in hc_id)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}   e_urate_z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2} .0272817{col 26}{space 2} .0218303{col 37}{space 1}    1.25{col 46}{space 3}0.213{col 54}{space 4}-.0157851{col 67}{space 3} .0703486
{txt}{space 3}b_urate_z {c |}{col 14}{res}{space 2} .3545533{col 26}{space 2} .0146561{col 37}{space 1}   24.19{col 46}{space 3}0.000{col 54}{space 4} .3256398{col 67}{space 3} .3834667
{txt}{space 1}b_urate_z_d {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 1}c_tfull_hc2 {c |}{col 14}{res}{space 2} .0150338{col 26}{space 2} .0288718{col 37}{space 1}    0.52{col 46}{space 3}0.603{col 54}{space 4}-.0419245{col 67}{space 3}  .071992
{txt}c_tfull_b_~l {c |}{col 14}{res}{space 2} .0237715{col 26}{space 2}  .033878{col 37}{space 1}    0.70{col 46}{space 3}0.484{col 54}{space 4}-.0430629{col 67}{space 3}  .090606
{txt}c_tfull_b_~s {c |}{col 14}{res}{space 2} .0295139{col 26}{space 2} .0434455{col 37}{space 1}    0.68{col 46}{space 3}0.498{col 54}{space 4}-.0561953{col 67}{space 3} .1152232
{txt}c_tfull_b_~d {c |}{col 14}{res}{space 2} .1472312{col 26}{space 2} .0420304{col 37}{space 1}    3.50{col 46}{space 3}0.001{col 54}{space 4} .0643136{col 67}{space 3} .2301488
{txt}c_tfull_ed~r {c |}{col 14}{res}{space 2}-.0114403{col 26}{space 2} .0021229{col 37}{space 1}   -5.39{col 46}{space 3}0.000{col 54}{space 4}-.0156284{col 67}{space 3}-.0072523
{txt}c_tfull_b_~x {c |}{col 14}{res}{space 2}-.0444239{col 26}{space 2} .0098167{col 37}{space 1}   -4.53{col 46}{space 3}0.000{col 54}{space 4}-.0637903{col 67}{space 3}-.0250575
{txt}{space 7}_cons {c |}{col 14}{res}{space 2}-.0199136{col 26}{space 2} .0156365{col 37}{space 1}   -1.27{col 46}{space 3}0.204{col 54}{space 4}-.0507613{col 67}{space 3} .0109341
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull = .019{p_end}

{txt}       F(  1,   186) ={res}    0.14
{txt}{col 13}Prob > F ={res}    0.7048

{p 0 7}{space 1}{text:( 1)}{space 1} treatfull = -.019{p_end}

{txt}       F(  1,   186) ={res}    4.49
{txt}{col 13}Prob > F ={res}    0.0353
{txt}note: b_urate_z_d omitted because of collinearity
{res}
{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}     7,288
{txt}{col 49}F({res}   8{txt},{res}    186{txt}){col 67}= {res}    101.14
{txt}{col 49}Prob > F{col 67}= {res}    0.0000
{txt}{col 49}R-squared{col 67}= {res}    0.2301
{txt}{col 49}Adj R-squared{col 67}= {res}    0.2277
{txt}{col 49}Root MSE{col 67}= {res}    0.6612

{txt}{ralign 78:(Std. Err. adjusted for {res:187} clusters in hc_id)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}   e_urate_z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2} .0272817{col 26}{space 2} .0218303{col 37}{space 1}    1.25{col 46}{space 3}0.213{col 54}{space 4}-.0157851{col 67}{space 3} .0703486
{txt}{space 3}b_urate_z {c |}{col 14}{res}{space 2} .3545533{col 26}{space 2} .0146561{col 37}{space 1}   24.19{col 46}{space 3}0.000{col 54}{space 4} .3256398{col 67}{space 3} .3834667
{txt}{space 1}b_urate_z_d {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 1}c_tfull_hc2 {c |}{col 14}{res}{space 2} .0150338{col 26}{space 2} .0288718{col 37}{space 1}    0.52{col 46}{space 3}0.603{col 54}{space 4}-.0419245{col 67}{space 3}  .071992
{txt}c_tfull_b_~l {c |}{col 14}{res}{space 2} .0237715{col 26}{space 2}  .033878{col 37}{space 1}    0.70{col 46}{space 3}0.484{col 54}{space 4}-.0430629{col 67}{space 3}  .090606
{txt}c_tfull_b_~s {c |}{col 14}{res}{space 2} .0295139{col 26}{space 2} .0434455{col 37}{space 1}    0.68{col 46}{space 3}0.498{col 54}{space 4}-.0561953{col 67}{space 3} .1152232
{txt}c_tfull_b_~d {c |}{col 14}{res}{space 2} .1472312{col 26}{space 2} .0420304{col 37}{space 1}    3.50{col 46}{space 3}0.001{col 54}{space 4} .0643136{col 67}{space 3} .2301488
{txt}c_tfull_ed~r {c |}{col 14}{res}{space 2}-.0114403{col 26}{space 2} .0021229{col 37}{space 1}   -5.39{col 46}{space 3}0.000{col 54}{space 4}-.0156284{col 67}{space 3}-.0072523
{txt}c_tfull_b_~x {c |}{col 14}{res}{space 2}-.0444239{col 26}{space 2} .0098167{col 37}{space 1}   -4.53{col 46}{space 3}0.000{col 54}{space 4}-.0637903{col 67}{space 3}-.0250575
{txt}{space 7}_cons {c |}{col 14}{res}{space 2}-.0199136{col 26}{space 2} .0156365{col 37}{space 1}   -1.27{col 46}{space 3}0.204{col 54}{space 4}-.0507613{col 67}{space 3} .0109341
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull = .02{p_end}

{txt}       F(  1,   186) ={res}    0.11
{txt}{col 13}Prob > F ={res}    0.7391

{p 0 7}{space 1}{text:( 1)}{space 1} treatfull = -.02{p_end}

{txt}       F(  1,   186) ={res}    4.69
{txt}{col 13}Prob > F ={res}    0.0316
{txt}note: b_urate_z_d omitted because of collinearity
{res}
{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}     7,288
{txt}{col 49}F({res}   8{txt},{res}    186{txt}){col 67}= {res}    101.14
{txt}{col 49}Prob > F{col 67}= {res}    0.0000
{txt}{col 49}R-squared{col 67}= {res}    0.2301
{txt}{col 49}Adj R-squared{col 67}= {res}    0.2277
{txt}{col 49}Root MSE{col 67}= {res}    0.6612

{txt}{ralign 78:(Std. Err. adjusted for {res:187} clusters in hc_id)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}   e_urate_z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2} .0272817{col 26}{space 2} .0218303{col 37}{space 1}    1.25{col 46}{space 3}0.213{col 54}{space 4}-.0157851{col 67}{space 3} .0703486
{txt}{space 3}b_urate_z {c |}{col 14}{res}{space 2} .3545533{col 26}{space 2} .0146561{col 37}{space 1}   24.19{col 46}{space 3}0.000{col 54}{space 4} .3256398{col 67}{space 3} .3834667
{txt}{space 1}b_urate_z_d {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 1}c_tfull_hc2 {c |}{col 14}{res}{space 2} .0150338{col 26}{space 2} .0288718{col 37}{space 1}    0.52{col 46}{space 3}0.603{col 54}{space 4}-.0419245{col 67}{space 3}  .071992
{txt}c_tfull_b_~l {c |}{col 14}{res}{space 2} .0237715{col 26}{space 2}  .033878{col 37}{space 1}    0.70{col 46}{space 3}0.484{col 54}{space 4}-.0430629{col 67}{space 3}  .090606
{txt}c_tfull_b_~s {c |}{col 14}{res}{space 2} .0295139{col 26}{space 2} .0434455{col 37}{space 1}    0.68{col 46}{space 3}0.498{col 54}{space 4}-.0561953{col 67}{space 3} .1152232
{txt}c_tfull_b_~d {c |}{col 14}{res}{space 2} .1472312{col 26}{space 2} .0420304{col 37}{space 1}    3.50{col 46}{space 3}0.001{col 54}{space 4} .0643136{col 67}{space 3} .2301488
{txt}c_tfull_ed~r {c |}{col 14}{res}{space 2}-.0114403{col 26}{space 2} .0021229{col 37}{space 1}   -5.39{col 46}{space 3}0.000{col 54}{space 4}-.0156284{col 67}{space 3}-.0072523
{txt}c_tfull_b_~x {c |}{col 14}{res}{space 2}-.0444239{col 26}{space 2} .0098167{col 37}{space 1}   -4.53{col 46}{space 3}0.000{col 54}{space 4}-.0637903{col 67}{space 3}-.0250575
{txt}{space 7}_cons {c |}{col 14}{res}{space 2}-.0199136{col 26}{space 2} .0156365{col 37}{space 1}   -1.27{col 46}{space 3}0.204{col 54}{space 4}-.0507613{col 67}{space 3} .0109341
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull = .021{p_end}

{txt}       F(  1,   186) ={res}    0.08
{txt}{col 13}Prob > F ={res}    0.7739

{p 0 7}{space 1}{text:( 1)}{space 1} treatfull = -.021{p_end}

{txt}       F(  1,   186) ={res}    4.89
{txt}{col 13}Prob > F ={res}    0.0282
{txt}note: b_urate_z_d omitted because of collinearity
{res}
{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}     7,288
{txt}{col 49}F({res}   8{txt},{res}    186{txt}){col 67}= {res}    101.14
{txt}{col 49}Prob > F{col 67}= {res}    0.0000
{txt}{col 49}R-squared{col 67}= {res}    0.2301
{txt}{col 49}Adj R-squared{col 67}= {res}    0.2277
{txt}{col 49}Root MSE{col 67}= {res}    0.6612

{txt}{ralign 78:(Std. Err. adjusted for {res:187} clusters in hc_id)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}   e_urate_z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2} .0272817{col 26}{space 2} .0218303{col 37}{space 1}    1.25{col 46}{space 3}0.213{col 54}{space 4}-.0157851{col 67}{space 3} .0703486
{txt}{space 3}b_urate_z {c |}{col 14}{res}{space 2} .3545533{col 26}{space 2} .0146561{col 37}{space 1}   24.19{col 46}{space 3}0.000{col 54}{space 4} .3256398{col 67}{space 3} .3834667
{txt}{space 1}b_urate_z_d {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 1}c_tfull_hc2 {c |}{col 14}{res}{space 2} .0150338{col 26}{space 2} .0288718{col 37}{space 1}    0.52{col 46}{space 3}0.603{col 54}{space 4}-.0419245{col 67}{space 3}  .071992
{txt}c_tfull_b_~l {c |}{col 14}{res}{space 2} .0237715{col 26}{space 2}  .033878{col 37}{space 1}    0.70{col 46}{space 3}0.484{col 54}{space 4}-.0430629{col 67}{space 3}  .090606
{txt}c_tfull_b_~s {c |}{col 14}{res}{space 2} .0295139{col 26}{space 2} .0434455{col 37}{space 1}    0.68{col 46}{space 3}0.498{col 54}{space 4}-.0561953{col 67}{space 3} .1152232
{txt}c_tfull_b_~d {c |}{col 14}{res}{space 2} .1472312{col 26}{space 2} .0420304{col 37}{space 1}    3.50{col 46}{space 3}0.001{col 54}{space 4} .0643136{col 67}{space 3} .2301488
{txt}c_tfull_ed~r {c |}{col 14}{res}{space 2}-.0114403{col 26}{space 2} .0021229{col 37}{space 1}   -5.39{col 46}{space 3}0.000{col 54}{space 4}-.0156284{col 67}{space 3}-.0072523
{txt}c_tfull_b_~x {c |}{col 14}{res}{space 2}-.0444239{col 26}{space 2} .0098167{col 37}{space 1}   -4.53{col 46}{space 3}0.000{col 54}{space 4}-.0637903{col 67}{space 3}-.0250575
{txt}{space 7}_cons {c |}{col 14}{res}{space 2}-.0199136{col 26}{space 2} .0156365{col 37}{space 1}   -1.27{col 46}{space 3}0.204{col 54}{space 4}-.0507613{col 67}{space 3} .0109341
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull = .022{p_end}

{txt}       F(  1,   186) ={res}    0.06
{txt}{col 13}Prob > F ={res}    0.8091

{p 0 7}{space 1}{text:( 1)}{space 1} treatfull = -.022{p_end}

{txt}       F(  1,   186) ={res}    5.10
{txt}{col 13}Prob > F ={res}    0.0251
{txt}note: b_urate_z_d omitted because of collinearity
{res}
{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}     7,288
{txt}{col 49}F({res}   8{txt},{res}    186{txt}){col 67}= {res}    101.14
{txt}{col 49}Prob > F{col 67}= {res}    0.0000
{txt}{col 49}R-squared{col 67}= {res}    0.2301
{txt}{col 49}Adj R-squared{col 67}= {res}    0.2277
{txt}{col 49}Root MSE{col 67}= {res}    0.6612

{txt}{ralign 78:(Std. Err. adjusted for {res:187} clusters in hc_id)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}   e_urate_z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2} .0272817{col 26}{space 2} .0218303{col 37}{space 1}    1.25{col 46}{space 3}0.213{col 54}{space 4}-.0157851{col 67}{space 3} .0703486
{txt}{space 3}b_urate_z {c |}{col 14}{res}{space 2} .3545533{col 26}{space 2} .0146561{col 37}{space 1}   24.19{col 46}{space 3}0.000{col 54}{space 4} .3256398{col 67}{space 3} .3834667
{txt}{space 1}b_urate_z_d {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 1}c_tfull_hc2 {c |}{col 14}{res}{space 2} .0150338{col 26}{space 2} .0288718{col 37}{space 1}    0.52{col 46}{space 3}0.603{col 54}{space 4}-.0419245{col 67}{space 3}  .071992
{txt}c_tfull_b_~l {c |}{col 14}{res}{space 2} .0237715{col 26}{space 2}  .033878{col 37}{space 1}    0.70{col 46}{space 3}0.484{col 54}{space 4}-.0430629{col 67}{space 3}  .090606
{txt}c_tfull_b_~s {c |}{col 14}{res}{space 2} .0295139{col 26}{space 2} .0434455{col 37}{space 1}    0.68{col 46}{space 3}0.498{col 54}{space 4}-.0561953{col 67}{space 3} .1152232
{txt}c_tfull_b_~d {c |}{col 14}{res}{space 2} .1472312{col 26}{space 2} .0420304{col 37}{space 1}    3.50{col 46}{space 3}0.001{col 54}{space 4} .0643136{col 67}{space 3} .2301488
{txt}c_tfull_ed~r {c |}{col 14}{res}{space 2}-.0114403{col 26}{space 2} .0021229{col 37}{space 1}   -5.39{col 46}{space 3}0.000{col 54}{space 4}-.0156284{col 67}{space 3}-.0072523
{txt}c_tfull_b_~x {c |}{col 14}{res}{space 2}-.0444239{col 26}{space 2} .0098167{col 37}{space 1}   -4.53{col 46}{space 3}0.000{col 54}{space 4}-.0637903{col 67}{space 3}-.0250575
{txt}{space 7}_cons {c |}{col 14}{res}{space 2}-.0199136{col 26}{space 2} .0156365{col 37}{space 1}   -1.27{col 46}{space 3}0.204{col 54}{space 4}-.0507613{col 67}{space 3} .0109341
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull = .023{p_end}

{txt}       F(  1,   186) ={res}    0.04
{txt}{col 13}Prob > F ={res}    0.8447

{p 0 7}{space 1}{text:( 1)}{space 1} treatfull = -.023{p_end}

{txt}       F(  1,   186) ={res}    5.31
{txt}{col 13}Prob > F ={res}    0.0224
{txt}note: b_urate_z_d omitted because of collinearity
{res}
{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}     7,288
{txt}{col 49}F({res}   8{txt},{res}    186{txt}){col 67}= {res}    101.14
{txt}{col 49}Prob > F{col 67}= {res}    0.0000
{txt}{col 49}R-squared{col 67}= {res}    0.2301
{txt}{col 49}Adj R-squared{col 67}= {res}    0.2277
{txt}{col 49}Root MSE{col 67}= {res}    0.6612

{txt}{ralign 78:(Std. Err. adjusted for {res:187} clusters in hc_id)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}   e_urate_z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2} .0272817{col 26}{space 2} .0218303{col 37}{space 1}    1.25{col 46}{space 3}0.213{col 54}{space 4}-.0157851{col 67}{space 3} .0703486
{txt}{space 3}b_urate_z {c |}{col 14}{res}{space 2} .3545533{col 26}{space 2} .0146561{col 37}{space 1}   24.19{col 46}{space 3}0.000{col 54}{space 4} .3256398{col 67}{space 3} .3834667
{txt}{space 1}b_urate_z_d {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 1}c_tfull_hc2 {c |}{col 14}{res}{space 2} .0150338{col 26}{space 2} .0288718{col 37}{space 1}    0.52{col 46}{space 3}0.603{col 54}{space 4}-.0419245{col 67}{space 3}  .071992
{txt}c_tfull_b_~l {c |}{col 14}{res}{space 2} .0237715{col 26}{space 2}  .033878{col 37}{space 1}    0.70{col 46}{space 3}0.484{col 54}{space 4}-.0430629{col 67}{space 3}  .090606
{txt}c_tfull_b_~s {c |}{col 14}{res}{space 2} .0295139{col 26}{space 2} .0434455{col 37}{space 1}    0.68{col 46}{space 3}0.498{col 54}{space 4}-.0561953{col 67}{space 3} .1152232
{txt}c_tfull_b_~d {c |}{col 14}{res}{space 2} .1472312{col 26}{space 2} .0420304{col 37}{space 1}    3.50{col 46}{space 3}0.001{col 54}{space 4} .0643136{col 67}{space 3} .2301488
{txt}c_tfull_ed~r {c |}{col 14}{res}{space 2}-.0114403{col 26}{space 2} .0021229{col 37}{space 1}   -5.39{col 46}{space 3}0.000{col 54}{space 4}-.0156284{col 67}{space 3}-.0072523
{txt}c_tfull_b_~x {c |}{col 14}{res}{space 2}-.0444239{col 26}{space 2} .0098167{col 37}{space 1}   -4.53{col 46}{space 3}0.000{col 54}{space 4}-.0637903{col 67}{space 3}-.0250575
{txt}{space 7}_cons {c |}{col 14}{res}{space 2}-.0199136{col 26}{space 2} .0156365{col 37}{space 1}   -1.27{col 46}{space 3}0.204{col 54}{space 4}-.0507613{col 67}{space 3} .0109341
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull = .024{p_end}

{txt}       F(  1,   186) ={res}    0.02
{txt}{col 13}Prob > F ={res}    0.8807

{p 0 7}{space 1}{text:( 1)}{space 1} treatfull = -.024{p_end}

{txt}       F(  1,   186) ={res}    5.52
{txt}{col 13}Prob > F ={res}    0.0199
{txt}note: b_urate_z_d omitted because of collinearity
{res}
{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}     7,288
{txt}{col 49}F({res}   8{txt},{res}    186{txt}){col 67}= {res}    101.14
{txt}{col 49}Prob > F{col 67}= {res}    0.0000
{txt}{col 49}R-squared{col 67}= {res}    0.2301
{txt}{col 49}Adj R-squared{col 67}= {res}    0.2277
{txt}{col 49}Root MSE{col 67}= {res}    0.6612

{txt}{ralign 78:(Std. Err. adjusted for {res:187} clusters in hc_id)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}   e_urate_z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2} .0272817{col 26}{space 2} .0218303{col 37}{space 1}    1.25{col 46}{space 3}0.213{col 54}{space 4}-.0157851{col 67}{space 3} .0703486
{txt}{space 3}b_urate_z {c |}{col 14}{res}{space 2} .3545533{col 26}{space 2} .0146561{col 37}{space 1}   24.19{col 46}{space 3}0.000{col 54}{space 4} .3256398{col 67}{space 3} .3834667
{txt}{space 1}b_urate_z_d {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 1}c_tfull_hc2 {c |}{col 14}{res}{space 2} .0150338{col 26}{space 2} .0288718{col 37}{space 1}    0.52{col 46}{space 3}0.603{col 54}{space 4}-.0419245{col 67}{space 3}  .071992
{txt}c_tfull_b_~l {c |}{col 14}{res}{space 2} .0237715{col 26}{space 2}  .033878{col 37}{space 1}    0.70{col 46}{space 3}0.484{col 54}{space 4}-.0430629{col 67}{space 3}  .090606
{txt}c_tfull_b_~s {c |}{col 14}{res}{space 2} .0295139{col 26}{space 2} .0434455{col 37}{space 1}    0.68{col 46}{space 3}0.498{col 54}{space 4}-.0561953{col 67}{space 3} .1152232
{txt}c_tfull_b_~d {c |}{col 14}{res}{space 2} .1472312{col 26}{space 2} .0420304{col 37}{space 1}    3.50{col 46}{space 3}0.001{col 54}{space 4} .0643136{col 67}{space 3} .2301488
{txt}c_tfull_ed~r {c |}{col 14}{res}{space 2}-.0114403{col 26}{space 2} .0021229{col 37}{space 1}   -5.39{col 46}{space 3}0.000{col 54}{space 4}-.0156284{col 67}{space 3}-.0072523
{txt}c_tfull_b_~x {c |}{col 14}{res}{space 2}-.0444239{col 26}{space 2} .0098167{col 37}{space 1}   -4.53{col 46}{space 3}0.000{col 54}{space 4}-.0637903{col 67}{space 3}-.0250575
{txt}{space 7}_cons {c |}{col 14}{res}{space 2}-.0199136{col 26}{space 2} .0156365{col 37}{space 1}   -1.27{col 46}{space 3}0.204{col 54}{space 4}-.0507613{col 67}{space 3} .0109341
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull = .025{p_end}

{txt}       F(  1,   186) ={res}    0.01
{txt}{col 13}Prob > F ={res}    0.9169

{p 0 7}{space 1}{text:( 1)}{space 1} treatfull = -.025{p_end}

{txt}       F(  1,   186) ={res}    5.74
{txt}{col 13}Prob > F ={res}    0.0176
{txt}note: b_urate_z_d omitted because of collinearity
{res}
{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}     7,288
{txt}{col 49}F({res}   8{txt},{res}    186{txt}){col 67}= {res}    101.14
{txt}{col 49}Prob > F{col 67}= {res}    0.0000
{txt}{col 49}R-squared{col 67}= {res}    0.2301
{txt}{col 49}Adj R-squared{col 67}= {res}    0.2277
{txt}{col 49}Root MSE{col 67}= {res}    0.6612

{txt}{ralign 78:(Std. Err. adjusted for {res:187} clusters in hc_id)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}   e_urate_z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2} .0272817{col 26}{space 2} .0218303{col 37}{space 1}    1.25{col 46}{space 3}0.213{col 54}{space 4}-.0157851{col 67}{space 3} .0703486
{txt}{space 3}b_urate_z {c |}{col 14}{res}{space 2} .3545533{col 26}{space 2} .0146561{col 37}{space 1}   24.19{col 46}{space 3}0.000{col 54}{space 4} .3256398{col 67}{space 3} .3834667
{txt}{space 1}b_urate_z_d {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 1}c_tfull_hc2 {c |}{col 14}{res}{space 2} .0150338{col 26}{space 2} .0288718{col 37}{space 1}    0.52{col 46}{space 3}0.603{col 54}{space 4}-.0419245{col 67}{space 3}  .071992
{txt}c_tfull_b_~l {c |}{col 14}{res}{space 2} .0237715{col 26}{space 2}  .033878{col 37}{space 1}    0.70{col 46}{space 3}0.484{col 54}{space 4}-.0430629{col 67}{space 3}  .090606
{txt}c_tfull_b_~s {c |}{col 14}{res}{space 2} .0295139{col 26}{space 2} .0434455{col 37}{space 1}    0.68{col 46}{space 3}0.498{col 54}{space 4}-.0561953{col 67}{space 3} .1152232
{txt}c_tfull_b_~d {c |}{col 14}{res}{space 2} .1472312{col 26}{space 2} .0420304{col 37}{space 1}    3.50{col 46}{space 3}0.001{col 54}{space 4} .0643136{col 67}{space 3} .2301488
{txt}c_tfull_ed~r {c |}{col 14}{res}{space 2}-.0114403{col 26}{space 2} .0021229{col 37}{space 1}   -5.39{col 46}{space 3}0.000{col 54}{space 4}-.0156284{col 67}{space 3}-.0072523
{txt}c_tfull_b_~x {c |}{col 14}{res}{space 2}-.0444239{col 26}{space 2} .0098167{col 37}{space 1}   -4.53{col 46}{space 3}0.000{col 54}{space 4}-.0637903{col 67}{space 3}-.0250575
{txt}{space 7}_cons {c |}{col 14}{res}{space 2}-.0199136{col 26}{space 2} .0156365{col 37}{space 1}   -1.27{col 46}{space 3}0.204{col 54}{space 4}-.0507613{col 67}{space 3} .0109341
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull = .026{p_end}

{txt}       F(  1,   186) ={res}    0.00
{txt}{col 13}Prob > F ={res}    0.9532

{p 0 7}{space 1}{text:( 1)}{space 1} treatfull = -.026{p_end}

{txt}       F(  1,   186) ={res}    5.96
{txt}{col 13}Prob > F ={res}    0.0156
{txt}note: b_urate_z_d omitted because of collinearity
{res}
{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}     7,288
{txt}{col 49}F({res}   8{txt},{res}    186{txt}){col 67}= {res}    101.14
{txt}{col 49}Prob > F{col 67}= {res}    0.0000
{txt}{col 49}R-squared{col 67}= {res}    0.2301
{txt}{col 49}Adj R-squared{col 67}= {res}    0.2277
{txt}{col 49}Root MSE{col 67}= {res}    0.6612

{txt}{ralign 78:(Std. Err. adjusted for {res:187} clusters in hc_id)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}   e_urate_z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2} .0272817{col 26}{space 2} .0218303{col 37}{space 1}    1.25{col 46}{space 3}0.213{col 54}{space 4}-.0157851{col 67}{space 3} .0703486
{txt}{space 3}b_urate_z {c |}{col 14}{res}{space 2} .3545533{col 26}{space 2} .0146561{col 37}{space 1}   24.19{col 46}{space 3}0.000{col 54}{space 4} .3256398{col 67}{space 3} .3834667
{txt}{space 1}b_urate_z_d {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 1}c_tfull_hc2 {c |}{col 14}{res}{space 2} .0150338{col 26}{space 2} .0288718{col 37}{space 1}    0.52{col 46}{space 3}0.603{col 54}{space 4}-.0419245{col 67}{space 3}  .071992
{txt}c_tfull_b_~l {c |}{col 14}{res}{space 2} .0237715{col 26}{space 2}  .033878{col 37}{space 1}    0.70{col 46}{space 3}0.484{col 54}{space 4}-.0430629{col 67}{space 3}  .090606
{txt}c_tfull_b_~s {c |}{col 14}{res}{space 2} .0295139{col 26}{space 2} .0434455{col 37}{space 1}    0.68{col 46}{space 3}0.498{col 54}{space 4}-.0561953{col 67}{space 3} .1152232
{txt}c_tfull_b_~d {c |}{col 14}{res}{space 2} .1472312{col 26}{space 2} .0420304{col 37}{space 1}    3.50{col 46}{space 3}0.001{col 54}{space 4} .0643136{col 67}{space 3} .2301488
{txt}c_tfull_ed~r {c |}{col 14}{res}{space 2}-.0114403{col 26}{space 2} .0021229{col 37}{space 1}   -5.39{col 46}{space 3}0.000{col 54}{space 4}-.0156284{col 67}{space 3}-.0072523
{txt}c_tfull_b_~x {c |}{col 14}{res}{space 2}-.0444239{col 26}{space 2} .0098167{col 37}{space 1}   -4.53{col 46}{space 3}0.000{col 54}{space 4}-.0637903{col 67}{space 3}-.0250575
{txt}{space 7}_cons {c |}{col 14}{res}{space 2}-.0199136{col 26}{space 2} .0156365{col 37}{space 1}   -1.27{col 46}{space 3}0.204{col 54}{space 4}-.0507613{col 67}{space 3} .0109341
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull = .027{p_end}

{txt}       F(  1,   186) ={res}    0.00
{txt}{col 13}Prob > F ={res}    0.9897

{p 0 7}{space 1}{text:( 1)}{space 1} treatfull = -.027{p_end}

{txt}       F(  1,   186) ={res}    6.18
{txt}{col 13}Prob > F ={res}    0.0138
{txt}note: b_urate_z_d omitted because of collinearity
{res}
{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}     7,288
{txt}{col 49}F({res}   8{txt},{res}    186{txt}){col 67}= {res}    101.14
{txt}{col 49}Prob > F{col 67}= {res}    0.0000
{txt}{col 49}R-squared{col 67}= {res}    0.2301
{txt}{col 49}Adj R-squared{col 67}= {res}    0.2277
{txt}{col 49}Root MSE{col 67}= {res}    0.6612

{txt}{ralign 78:(Std. Err. adjusted for {res:187} clusters in hc_id)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}   e_urate_z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2} .0272817{col 26}{space 2} .0218303{col 37}{space 1}    1.25{col 46}{space 3}0.213{col 54}{space 4}-.0157851{col 67}{space 3} .0703486
{txt}{space 3}b_urate_z {c |}{col 14}{res}{space 2} .3545533{col 26}{space 2} .0146561{col 37}{space 1}   24.19{col 46}{space 3}0.000{col 54}{space 4} .3256398{col 67}{space 3} .3834667
{txt}{space 1}b_urate_z_d {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 1}c_tfull_hc2 {c |}{col 14}{res}{space 2} .0150338{col 26}{space 2} .0288718{col 37}{space 1}    0.52{col 46}{space 3}0.603{col 54}{space 4}-.0419245{col 67}{space 3}  .071992
{txt}c_tfull_b_~l {c |}{col 14}{res}{space 2} .0237715{col 26}{space 2}  .033878{col 37}{space 1}    0.70{col 46}{space 3}0.484{col 54}{space 4}-.0430629{col 67}{space 3}  .090606
{txt}c_tfull_b_~s {c |}{col 14}{res}{space 2} .0295139{col 26}{space 2} .0434455{col 37}{space 1}    0.68{col 46}{space 3}0.498{col 54}{space 4}-.0561953{col 67}{space 3} .1152232
{txt}c_tfull_b_~d {c |}{col 14}{res}{space 2} .1472312{col 26}{space 2} .0420304{col 37}{space 1}    3.50{col 46}{space 3}0.001{col 54}{space 4} .0643136{col 67}{space 3} .2301488
{txt}c_tfull_ed~r {c |}{col 14}{res}{space 2}-.0114403{col 26}{space 2} .0021229{col 37}{space 1}   -5.39{col 46}{space 3}0.000{col 54}{space 4}-.0156284{col 67}{space 3}-.0072523
{txt}c_tfull_b_~x {c |}{col 14}{res}{space 2}-.0444239{col 26}{space 2} .0098167{col 37}{space 1}   -4.53{col 46}{space 3}0.000{col 54}{space 4}-.0637903{col 67}{space 3}-.0250575
{txt}{space 7}_cons {c |}{col 14}{res}{space 2}-.0199136{col 26}{space 2} .0156365{col 37}{space 1}   -1.27{col 46}{space 3}0.204{col 54}{space 4}-.0507613{col 67}{space 3} .0109341
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull = .028{p_end}

{txt}       F(  1,   186) ={res}    0.00
{txt}{col 13}Prob > F ={res}    0.9738

{p 0 7}{space 1}{text:( 1)}{space 1} treatfull = -.028{p_end}

{txt}       F(  1,   186) ={res}    6.41
{txt}{col 13}Prob > F ={res}    0.0122
{txt}note: b_urate_z_d omitted because of collinearity
{res}
{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}     7,288
{txt}{col 49}F({res}   8{txt},{res}    186{txt}){col 67}= {res}    101.14
{txt}{col 49}Prob > F{col 67}= {res}    0.0000
{txt}{col 49}R-squared{col 67}= {res}    0.2301
{txt}{col 49}Adj R-squared{col 67}= {res}    0.2277
{txt}{col 49}Root MSE{col 67}= {res}    0.6612

{txt}{ralign 78:(Std. Err. adjusted for {res:187} clusters in hc_id)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}   e_urate_z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2} .0272817{col 26}{space 2} .0218303{col 37}{space 1}    1.25{col 46}{space 3}0.213{col 54}{space 4}-.0157851{col 67}{space 3} .0703486
{txt}{space 3}b_urate_z {c |}{col 14}{res}{space 2} .3545533{col 26}{space 2} .0146561{col 37}{space 1}   24.19{col 46}{space 3}0.000{col 54}{space 4} .3256398{col 67}{space 3} .3834667
{txt}{space 1}b_urate_z_d {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 1}c_tfull_hc2 {c |}{col 14}{res}{space 2} .0150338{col 26}{space 2} .0288718{col 37}{space 1}    0.52{col 46}{space 3}0.603{col 54}{space 4}-.0419245{col 67}{space 3}  .071992
{txt}c_tfull_b_~l {c |}{col 14}{res}{space 2} .0237715{col 26}{space 2}  .033878{col 37}{space 1}    0.70{col 46}{space 3}0.484{col 54}{space 4}-.0430629{col 67}{space 3}  .090606
{txt}c_tfull_b_~s {c |}{col 14}{res}{space 2} .0295139{col 26}{space 2} .0434455{col 37}{space 1}    0.68{col 46}{space 3}0.498{col 54}{space 4}-.0561953{col 67}{space 3} .1152232
{txt}c_tfull_b_~d {c |}{col 14}{res}{space 2} .1472312{col 26}{space 2} .0420304{col 37}{space 1}    3.50{col 46}{space 3}0.001{col 54}{space 4} .0643136{col 67}{space 3} .2301488
{txt}c_tfull_ed~r {c |}{col 14}{res}{space 2}-.0114403{col 26}{space 2} .0021229{col 37}{space 1}   -5.39{col 46}{space 3}0.000{col 54}{space 4}-.0156284{col 67}{space 3}-.0072523
{txt}c_tfull_b_~x {c |}{col 14}{res}{space 2}-.0444239{col 26}{space 2} .0098167{col 37}{space 1}   -4.53{col 46}{space 3}0.000{col 54}{space 4}-.0637903{col 67}{space 3}-.0250575
{txt}{space 7}_cons {c |}{col 14}{res}{space 2}-.0199136{col 26}{space 2} .0156365{col 37}{space 1}   -1.27{col 46}{space 3}0.204{col 54}{space 4}-.0507613{col 67}{space 3} .0109341
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull = .029{p_end}

{txt}       F(  1,   186) ={res}    0.01
{txt}{col 13}Prob > F ={res}    0.9373

{p 0 7}{space 1}{text:( 1)}{space 1} treatfull = -.029{p_end}

{txt}       F(  1,   186) ={res}    6.65
{txt}{col 13}Prob > F ={res}    0.0107
{txt}note: b_urate_z_d omitted because of collinearity
{res}
{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}     7,288
{txt}{col 49}F({res}   8{txt},{res}    186{txt}){col 67}= {res}    101.14
{txt}{col 49}Prob > F{col 67}= {res}    0.0000
{txt}{col 49}R-squared{col 67}= {res}    0.2301
{txt}{col 49}Adj R-squared{col 67}= {res}    0.2277
{txt}{col 49}Root MSE{col 67}= {res}    0.6612

{txt}{ralign 78:(Std. Err. adjusted for {res:187} clusters in hc_id)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}   e_urate_z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2} .0272817{col 26}{space 2} .0218303{col 37}{space 1}    1.25{col 46}{space 3}0.213{col 54}{space 4}-.0157851{col 67}{space 3} .0703486
{txt}{space 3}b_urate_z {c |}{col 14}{res}{space 2} .3545533{col 26}{space 2} .0146561{col 37}{space 1}   24.19{col 46}{space 3}0.000{col 54}{space 4} .3256398{col 67}{space 3} .3834667
{txt}{space 1}b_urate_z_d {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 1}c_tfull_hc2 {c |}{col 14}{res}{space 2} .0150338{col 26}{space 2} .0288718{col 37}{space 1}    0.52{col 46}{space 3}0.603{col 54}{space 4}-.0419245{col 67}{space 3}  .071992
{txt}c_tfull_b_~l {c |}{col 14}{res}{space 2} .0237715{col 26}{space 2}  .033878{col 37}{space 1}    0.70{col 46}{space 3}0.484{col 54}{space 4}-.0430629{col 67}{space 3}  .090606
{txt}c_tfull_b_~s {c |}{col 14}{res}{space 2} .0295139{col 26}{space 2} .0434455{col 37}{space 1}    0.68{col 46}{space 3}0.498{col 54}{space 4}-.0561953{col 67}{space 3} .1152232
{txt}c_tfull_b_~d {c |}{col 14}{res}{space 2} .1472312{col 26}{space 2} .0420304{col 37}{space 1}    3.50{col 46}{space 3}0.001{col 54}{space 4} .0643136{col 67}{space 3} .2301488
{txt}c_tfull_ed~r {c |}{col 14}{res}{space 2}-.0114403{col 26}{space 2} .0021229{col 37}{space 1}   -5.39{col 46}{space 3}0.000{col 54}{space 4}-.0156284{col 67}{space 3}-.0072523
{txt}c_tfull_b_~x {c |}{col 14}{res}{space 2}-.0444239{col 26}{space 2} .0098167{col 37}{space 1}   -4.53{col 46}{space 3}0.000{col 54}{space 4}-.0637903{col 67}{space 3}-.0250575
{txt}{space 7}_cons {c |}{col 14}{res}{space 2}-.0199136{col 26}{space 2} .0156365{col 37}{space 1}   -1.27{col 46}{space 3}0.204{col 54}{space 4}-.0507613{col 67}{space 3} .0109341
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull = .03{p_end}

{txt}       F(  1,   186) ={res}    0.02
{txt}{col 13}Prob > F ={res}    0.9010

{p 0 7}{space 1}{text:( 1)}{space 1} treatfull = -.03{p_end}

{txt}       F(  1,   186) ={res}    6.89
{txt}{col 13}Prob > F ={res}    0.0094
{txt}note: b_urate_z_d omitted because of collinearity
{res}
{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}     7,288
{txt}{col 49}F({res}   8{txt},{res}    186{txt}){col 67}= {res}    101.14
{txt}{col 49}Prob > F{col 67}= {res}    0.0000
{txt}{col 49}R-squared{col 67}= {res}    0.2301
{txt}{col 49}Adj R-squared{col 67}= {res}    0.2277
{txt}{col 49}Root MSE{col 67}= {res}    0.6612

{txt}{ralign 78:(Std. Err. adjusted for {res:187} clusters in hc_id)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}   e_urate_z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2} .0272817{col 26}{space 2} .0218303{col 37}{space 1}    1.25{col 46}{space 3}0.213{col 54}{space 4}-.0157851{col 67}{space 3} .0703486
{txt}{space 3}b_urate_z {c |}{col 14}{res}{space 2} .3545533{col 26}{space 2} .0146561{col 37}{space 1}   24.19{col 46}{space 3}0.000{col 54}{space 4} .3256398{col 67}{space 3} .3834667
{txt}{space 1}b_urate_z_d {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 1}c_tfull_hc2 {c |}{col 14}{res}{space 2} .0150338{col 26}{space 2} .0288718{col 37}{space 1}    0.52{col 46}{space 3}0.603{col 54}{space 4}-.0419245{col 67}{space 3}  .071992
{txt}c_tfull_b_~l {c |}{col 14}{res}{space 2} .0237715{col 26}{space 2}  .033878{col 37}{space 1}    0.70{col 46}{space 3}0.484{col 54}{space 4}-.0430629{col 67}{space 3}  .090606
{txt}c_tfull_b_~s {c |}{col 14}{res}{space 2} .0295139{col 26}{space 2} .0434455{col 37}{space 1}    0.68{col 46}{space 3}0.498{col 54}{space 4}-.0561953{col 67}{space 3} .1152232
{txt}c_tfull_b_~d {c |}{col 14}{res}{space 2} .1472312{col 26}{space 2} .0420304{col 37}{space 1}    3.50{col 46}{space 3}0.001{col 54}{space 4} .0643136{col 67}{space 3} .2301488
{txt}c_tfull_ed~r {c |}{col 14}{res}{space 2}-.0114403{col 26}{space 2} .0021229{col 37}{space 1}   -5.39{col 46}{space 3}0.000{col 54}{space 4}-.0156284{col 67}{space 3}-.0072523
{txt}c_tfull_b_~x {c |}{col 14}{res}{space 2}-.0444239{col 26}{space 2} .0098167{col 37}{space 1}   -4.53{col 46}{space 3}0.000{col 54}{space 4}-.0637903{col 67}{space 3}-.0250575
{txt}{space 7}_cons {c |}{col 14}{res}{space 2}-.0199136{col 26}{space 2} .0156365{col 37}{space 1}   -1.27{col 46}{space 3}0.204{col 54}{space 4}-.0507613{col 67}{space 3} .0109341
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull = .031{p_end}

{txt}       F(  1,   186) ={res}    0.03
{txt}{col 13}Prob > F ={res}    0.8649

{p 0 7}{space 1}{text:( 1)}{space 1} treatfull = -.031{p_end}

{txt}       F(  1,   186) ={res}    7.13
{txt}{col 13}Prob > F ={res}    0.0083
{txt}note: b_urate_z_d omitted because of collinearity
{res}
{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}     7,288
{txt}{col 49}F({res}   8{txt},{res}    186{txt}){col 67}= {res}    101.14
{txt}{col 49}Prob > F{col 67}= {res}    0.0000
{txt}{col 49}R-squared{col 67}= {res}    0.2301
{txt}{col 49}Adj R-squared{col 67}= {res}    0.2277
{txt}{col 49}Root MSE{col 67}= {res}    0.6612

{txt}{ralign 78:(Std. Err. adjusted for {res:187} clusters in hc_id)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}   e_urate_z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2} .0272817{col 26}{space 2} .0218303{col 37}{space 1}    1.25{col 46}{space 3}0.213{col 54}{space 4}-.0157851{col 67}{space 3} .0703486
{txt}{space 3}b_urate_z {c |}{col 14}{res}{space 2} .3545533{col 26}{space 2} .0146561{col 37}{space 1}   24.19{col 46}{space 3}0.000{col 54}{space 4} .3256398{col 67}{space 3} .3834667
{txt}{space 1}b_urate_z_d {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 1}c_tfull_hc2 {c |}{col 14}{res}{space 2} .0150338{col 26}{space 2} .0288718{col 37}{space 1}    0.52{col 46}{space 3}0.603{col 54}{space 4}-.0419245{col 67}{space 3}  .071992
{txt}c_tfull_b_~l {c |}{col 14}{res}{space 2} .0237715{col 26}{space 2}  .033878{col 37}{space 1}    0.70{col 46}{space 3}0.484{col 54}{space 4}-.0430629{col 67}{space 3}  .090606
{txt}c_tfull_b_~s {c |}{col 14}{res}{space 2} .0295139{col 26}{space 2} .0434455{col 37}{space 1}    0.68{col 46}{space 3}0.498{col 54}{space 4}-.0561953{col 67}{space 3} .1152232
{txt}c_tfull_b_~d {c |}{col 14}{res}{space 2} .1472312{col 26}{space 2} .0420304{col 37}{space 1}    3.50{col 46}{space 3}0.001{col 54}{space 4} .0643136{col 67}{space 3} .2301488
{txt}c_tfull_ed~r {c |}{col 14}{res}{space 2}-.0114403{col 26}{space 2} .0021229{col 37}{space 1}   -5.39{col 46}{space 3}0.000{col 54}{space 4}-.0156284{col 67}{space 3}-.0072523
{txt}c_tfull_b_~x {c |}{col 14}{res}{space 2}-.0444239{col 26}{space 2} .0098167{col 37}{space 1}   -4.53{col 46}{space 3}0.000{col 54}{space 4}-.0637903{col 67}{space 3}-.0250575
{txt}{space 7}_cons {c |}{col 14}{res}{space 2}-.0199136{col 26}{space 2} .0156365{col 37}{space 1}   -1.27{col 46}{space 3}0.204{col 54}{space 4}-.0507613{col 67}{space 3} .0109341
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull = .032{p_end}

{txt}       F(  1,   186) ={res}    0.05
{txt}{col 13}Prob > F ={res}    0.8291

{p 0 7}{space 1}{text:( 1)}{space 1} treatfull = -.032{p_end}

{txt}       F(  1,   186) ={res}    7.37
{txt}{col 13}Prob > F ={res}    0.0072
{txt}note: b_urate_z_d omitted because of collinearity
{res}
{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}     7,288
{txt}{col 49}F({res}   8{txt},{res}    186{txt}){col 67}= {res}    101.14
{txt}{col 49}Prob > F{col 67}= {res}    0.0000
{txt}{col 49}R-squared{col 67}= {res}    0.2301
{txt}{col 49}Adj R-squared{col 67}= {res}    0.2277
{txt}{col 49}Root MSE{col 67}= {res}    0.6612

{txt}{ralign 78:(Std. Err. adjusted for {res:187} clusters in hc_id)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}   e_urate_z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2} .0272817{col 26}{space 2} .0218303{col 37}{space 1}    1.25{col 46}{space 3}0.213{col 54}{space 4}-.0157851{col 67}{space 3} .0703486
{txt}{space 3}b_urate_z {c |}{col 14}{res}{space 2} .3545533{col 26}{space 2} .0146561{col 37}{space 1}   24.19{col 46}{space 3}0.000{col 54}{space 4} .3256398{col 67}{space 3} .3834667
{txt}{space 1}b_urate_z_d {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 1}c_tfull_hc2 {c |}{col 14}{res}{space 2} .0150338{col 26}{space 2} .0288718{col 37}{space 1}    0.52{col 46}{space 3}0.603{col 54}{space 4}-.0419245{col 67}{space 3}  .071992
{txt}c_tfull_b_~l {c |}{col 14}{res}{space 2} .0237715{col 26}{space 2}  .033878{col 37}{space 1}    0.70{col 46}{space 3}0.484{col 54}{space 4}-.0430629{col 67}{space 3}  .090606
{txt}c_tfull_b_~s {c |}{col 14}{res}{space 2} .0295139{col 26}{space 2} .0434455{col 37}{space 1}    0.68{col 46}{space 3}0.498{col 54}{space 4}-.0561953{col 67}{space 3} .1152232
{txt}c_tfull_b_~d {c |}{col 14}{res}{space 2} .1472312{col 26}{space 2} .0420304{col 37}{space 1}    3.50{col 46}{space 3}0.001{col 54}{space 4} .0643136{col 67}{space 3} .2301488
{txt}c_tfull_ed~r {c |}{col 14}{res}{space 2}-.0114403{col 26}{space 2} .0021229{col 37}{space 1}   -5.39{col 46}{space 3}0.000{col 54}{space 4}-.0156284{col 67}{space 3}-.0072523
{txt}c_tfull_b_~x {c |}{col 14}{res}{space 2}-.0444239{col 26}{space 2} .0098167{col 37}{space 1}   -4.53{col 46}{space 3}0.000{col 54}{space 4}-.0637903{col 67}{space 3}-.0250575
{txt}{space 7}_cons {c |}{col 14}{res}{space 2}-.0199136{col 26}{space 2} .0156365{col 37}{space 1}   -1.27{col 46}{space 3}0.204{col 54}{space 4}-.0507613{col 67}{space 3} .0109341
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull = .033{p_end}

{txt}       F(  1,   186) ={res}    0.07
{txt}{col 13}Prob > F ={res}    0.7937

{p 0 7}{space 1}{text:( 1)}{space 1} treatfull = -.033{p_end}

{txt}       F(  1,   186) ={res}    7.63
{txt}{col 13}Prob > F ={res}    0.0063
{txt}note: b_urate_z_d omitted because of collinearity
{res}
{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}     7,288
{txt}{col 49}F({res}   8{txt},{res}    186{txt}){col 67}= {res}    101.14
{txt}{col 49}Prob > F{col 67}= {res}    0.0000
{txt}{col 49}R-squared{col 67}= {res}    0.2301
{txt}{col 49}Adj R-squared{col 67}= {res}    0.2277
{txt}{col 49}Root MSE{col 67}= {res}    0.6612

{txt}{ralign 78:(Std. Err. adjusted for {res:187} clusters in hc_id)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}   e_urate_z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2} .0272817{col 26}{space 2} .0218303{col 37}{space 1}    1.25{col 46}{space 3}0.213{col 54}{space 4}-.0157851{col 67}{space 3} .0703486
{txt}{space 3}b_urate_z {c |}{col 14}{res}{space 2} .3545533{col 26}{space 2} .0146561{col 37}{space 1}   24.19{col 46}{space 3}0.000{col 54}{space 4} .3256398{col 67}{space 3} .3834667
{txt}{space 1}b_urate_z_d {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 1}c_tfull_hc2 {c |}{col 14}{res}{space 2} .0150338{col 26}{space 2} .0288718{col 37}{space 1}    0.52{col 46}{space 3}0.603{col 54}{space 4}-.0419245{col 67}{space 3}  .071992
{txt}c_tfull_b_~l {c |}{col 14}{res}{space 2} .0237715{col 26}{space 2}  .033878{col 37}{space 1}    0.70{col 46}{space 3}0.484{col 54}{space 4}-.0430629{col 67}{space 3}  .090606
{txt}c_tfull_b_~s {c |}{col 14}{res}{space 2} .0295139{col 26}{space 2} .0434455{col 37}{space 1}    0.68{col 46}{space 3}0.498{col 54}{space 4}-.0561953{col 67}{space 3} .1152232
{txt}c_tfull_b_~d {c |}{col 14}{res}{space 2} .1472312{col 26}{space 2} .0420304{col 37}{space 1}    3.50{col 46}{space 3}0.001{col 54}{space 4} .0643136{col 67}{space 3} .2301488
{txt}c_tfull_ed~r {c |}{col 14}{res}{space 2}-.0114403{col 26}{space 2} .0021229{col 37}{space 1}   -5.39{col 46}{space 3}0.000{col 54}{space 4}-.0156284{col 67}{space 3}-.0072523
{txt}c_tfull_b_~x {c |}{col 14}{res}{space 2}-.0444239{col 26}{space 2} .0098167{col 37}{space 1}   -4.53{col 46}{space 3}0.000{col 54}{space 4}-.0637903{col 67}{space 3}-.0250575
{txt}{space 7}_cons {c |}{col 14}{res}{space 2}-.0199136{col 26}{space 2} .0156365{col 37}{space 1}   -1.27{col 46}{space 3}0.204{col 54}{space 4}-.0507613{col 67}{space 3} .0109341
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull = .034{p_end}

{txt}       F(  1,   186) ={res}    0.09
{txt}{col 13}Prob > F ={res}    0.7586

{p 0 7}{space 1}{text:( 1)}{space 1} treatfull = -.034{p_end}

{txt}       F(  1,   186) ={res}    7.88
{txt}{col 13}Prob > F ={res}    0.0055
{txt}note: b_urate_z_d omitted because of collinearity
{res}
{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}     7,288
{txt}{col 49}F({res}   8{txt},{res}    186{txt}){col 67}= {res}    101.14
{txt}{col 49}Prob > F{col 67}= {res}    0.0000
{txt}{col 49}R-squared{col 67}= {res}    0.2301
{txt}{col 49}Adj R-squared{col 67}= {res}    0.2277
{txt}{col 49}Root MSE{col 67}= {res}    0.6612

{txt}{ralign 78:(Std. Err. adjusted for {res:187} clusters in hc_id)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}   e_urate_z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2} .0272817{col 26}{space 2} .0218303{col 37}{space 1}    1.25{col 46}{space 3}0.213{col 54}{space 4}-.0157851{col 67}{space 3} .0703486
{txt}{space 3}b_urate_z {c |}{col 14}{res}{space 2} .3545533{col 26}{space 2} .0146561{col 37}{space 1}   24.19{col 46}{space 3}0.000{col 54}{space 4} .3256398{col 67}{space 3} .3834667
{txt}{space 1}b_urate_z_d {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 1}c_tfull_hc2 {c |}{col 14}{res}{space 2} .0150338{col 26}{space 2} .0288718{col 37}{space 1}    0.52{col 46}{space 3}0.603{col 54}{space 4}-.0419245{col 67}{space 3}  .071992
{txt}c_tfull_b_~l {c |}{col 14}{res}{space 2} .0237715{col 26}{space 2}  .033878{col 37}{space 1}    0.70{col 46}{space 3}0.484{col 54}{space 4}-.0430629{col 67}{space 3}  .090606
{txt}c_tfull_b_~s {c |}{col 14}{res}{space 2} .0295139{col 26}{space 2} .0434455{col 37}{space 1}    0.68{col 46}{space 3}0.498{col 54}{space 4}-.0561953{col 67}{space 3} .1152232
{txt}c_tfull_b_~d {c |}{col 14}{res}{space 2} .1472312{col 26}{space 2} .0420304{col 37}{space 1}    3.50{col 46}{space 3}0.001{col 54}{space 4} .0643136{col 67}{space 3} .2301488
{txt}c_tfull_ed~r {c |}{col 14}{res}{space 2}-.0114403{col 26}{space 2} .0021229{col 37}{space 1}   -5.39{col 46}{space 3}0.000{col 54}{space 4}-.0156284{col 67}{space 3}-.0072523
{txt}c_tfull_b_~x {c |}{col 14}{res}{space 2}-.0444239{col 26}{space 2} .0098167{col 37}{space 1}   -4.53{col 46}{space 3}0.000{col 54}{space 4}-.0637903{col 67}{space 3}-.0250575
{txt}{space 7}_cons {c |}{col 14}{res}{space 2}-.0199136{col 26}{space 2} .0156365{col 37}{space 1}   -1.27{col 46}{space 3}0.204{col 54}{space 4}-.0507613{col 67}{space 3} .0109341
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull = .035{p_end}

{txt}       F(  1,   186) ={res}    0.13
{txt}{col 13}Prob > F ={res}    0.7241

{p 0 7}{space 1}{text:( 1)}{space 1} treatfull = -.035{p_end}

{txt}       F(  1,   186) ={res}    8.14
{txt}{col 13}Prob > F ={res}    0.0048
{txt}note: b_urate_z_d omitted because of collinearity
{res}
{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}     7,288
{txt}{col 49}F({res}   8{txt},{res}    186{txt}){col 67}= {res}    101.14
{txt}{col 49}Prob > F{col 67}= {res}    0.0000
{txt}{col 49}R-squared{col 67}= {res}    0.2301
{txt}{col 49}Adj R-squared{col 67}= {res}    0.2277
{txt}{col 49}Root MSE{col 67}= {res}    0.6612

{txt}{ralign 78:(Std. Err. adjusted for {res:187} clusters in hc_id)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}   e_urate_z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2} .0272817{col 26}{space 2} .0218303{col 37}{space 1}    1.25{col 46}{space 3}0.213{col 54}{space 4}-.0157851{col 67}{space 3} .0703486
{txt}{space 3}b_urate_z {c |}{col 14}{res}{space 2} .3545533{col 26}{space 2} .0146561{col 37}{space 1}   24.19{col 46}{space 3}0.000{col 54}{space 4} .3256398{col 67}{space 3} .3834667
{txt}{space 1}b_urate_z_d {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 1}c_tfull_hc2 {c |}{col 14}{res}{space 2} .0150338{col 26}{space 2} .0288718{col 37}{space 1}    0.52{col 46}{space 3}0.603{col 54}{space 4}-.0419245{col 67}{space 3}  .071992
{txt}c_tfull_b_~l {c |}{col 14}{res}{space 2} .0237715{col 26}{space 2}  .033878{col 37}{space 1}    0.70{col 46}{space 3}0.484{col 54}{space 4}-.0430629{col 67}{space 3}  .090606
{txt}c_tfull_b_~s {c |}{col 14}{res}{space 2} .0295139{col 26}{space 2} .0434455{col 37}{space 1}    0.68{col 46}{space 3}0.498{col 54}{space 4}-.0561953{col 67}{space 3} .1152232
{txt}c_tfull_b_~d {c |}{col 14}{res}{space 2} .1472312{col 26}{space 2} .0420304{col 37}{space 1}    3.50{col 46}{space 3}0.001{col 54}{space 4} .0643136{col 67}{space 3} .2301488
{txt}c_tfull_ed~r {c |}{col 14}{res}{space 2}-.0114403{col 26}{space 2} .0021229{col 37}{space 1}   -5.39{col 46}{space 3}0.000{col 54}{space 4}-.0156284{col 67}{space 3}-.0072523
{txt}c_tfull_b_~x {c |}{col 14}{res}{space 2}-.0444239{col 26}{space 2} .0098167{col 37}{space 1}   -4.53{col 46}{space 3}0.000{col 54}{space 4}-.0637903{col 67}{space 3}-.0250575
{txt}{space 7}_cons {c |}{col 14}{res}{space 2}-.0199136{col 26}{space 2} .0156365{col 37}{space 1}   -1.27{col 46}{space 3}0.204{col 54}{space 4}-.0507613{col 67}{space 3} .0109341
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull = .036{p_end}

{txt}       F(  1,   186) ={res}    0.16
{txt}{col 13}Prob > F ={res}    0.6901

{p 0 7}{space 1}{text:( 1)}{space 1} treatfull = -.036{p_end}

{txt}       F(  1,   186) ={res}    8.40
{txt}{col 13}Prob > F ={res}    0.0042
{txt}note: b_urate_z_d omitted because of collinearity
{res}
{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}     7,288
{txt}{col 49}F({res}   8{txt},{res}    186{txt}){col 67}= {res}    101.14
{txt}{col 49}Prob > F{col 67}= {res}    0.0000
{txt}{col 49}R-squared{col 67}= {res}    0.2301
{txt}{col 49}Adj R-squared{col 67}= {res}    0.2277
{txt}{col 49}Root MSE{col 67}= {res}    0.6612

{txt}{ralign 78:(Std. Err. adjusted for {res:187} clusters in hc_id)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}   e_urate_z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2} .0272817{col 26}{space 2} .0218303{col 37}{space 1}    1.25{col 46}{space 3}0.213{col 54}{space 4}-.0157851{col 67}{space 3} .0703486
{txt}{space 3}b_urate_z {c |}{col 14}{res}{space 2} .3545533{col 26}{space 2} .0146561{col 37}{space 1}   24.19{col 46}{space 3}0.000{col 54}{space 4} .3256398{col 67}{space 3} .3834667
{txt}{space 1}b_urate_z_d {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 1}c_tfull_hc2 {c |}{col 14}{res}{space 2} .0150338{col 26}{space 2} .0288718{col 37}{space 1}    0.52{col 46}{space 3}0.603{col 54}{space 4}-.0419245{col 67}{space 3}  .071992
{txt}c_tfull_b_~l {c |}{col 14}{res}{space 2} .0237715{col 26}{space 2}  .033878{col 37}{space 1}    0.70{col 46}{space 3}0.484{col 54}{space 4}-.0430629{col 67}{space 3}  .090606
{txt}c_tfull_b_~s {c |}{col 14}{res}{space 2} .0295139{col 26}{space 2} .0434455{col 37}{space 1}    0.68{col 46}{space 3}0.498{col 54}{space 4}-.0561953{col 67}{space 3} .1152232
{txt}c_tfull_b_~d {c |}{col 14}{res}{space 2} .1472312{col 26}{space 2} .0420304{col 37}{space 1}    3.50{col 46}{space 3}0.001{col 54}{space 4} .0643136{col 67}{space 3} .2301488
{txt}c_tfull_ed~r {c |}{col 14}{res}{space 2}-.0114403{col 26}{space 2} .0021229{col 37}{space 1}   -5.39{col 46}{space 3}0.000{col 54}{space 4}-.0156284{col 67}{space 3}-.0072523
{txt}c_tfull_b_~x {c |}{col 14}{res}{space 2}-.0444239{col 26}{space 2} .0098167{col 37}{space 1}   -4.53{col 46}{space 3}0.000{col 54}{space 4}-.0637903{col 67}{space 3}-.0250575
{txt}{space 7}_cons {c |}{col 14}{res}{space 2}-.0199136{col 26}{space 2} .0156365{col 37}{space 1}   -1.27{col 46}{space 3}0.204{col 54}{space 4}-.0507613{col 67}{space 3} .0109341
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull = .037{p_end}

{txt}       F(  1,   186) ={res}    0.20
{txt}{col 13}Prob > F ={res}    0.6567

{p 0 7}{space 1}{text:( 1)}{space 1} treatfull = -.037{p_end}

{txt}       F(  1,   186) ={res}    8.67
{txt}{col 13}Prob > F ={res}    0.0036
{txt}note: b_urate_z_d omitted because of collinearity
{res}
{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}     7,288
{txt}{col 49}F({res}   8{txt},{res}    186{txt}){col 67}= {res}    101.14
{txt}{col 49}Prob > F{col 67}= {res}    0.0000
{txt}{col 49}R-squared{col 67}= {res}    0.2301
{txt}{col 49}Adj R-squared{col 67}= {res}    0.2277
{txt}{col 49}Root MSE{col 67}= {res}    0.6612

{txt}{ralign 78:(Std. Err. adjusted for {res:187} clusters in hc_id)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}   e_urate_z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2} .0272817{col 26}{space 2} .0218303{col 37}{space 1}    1.25{col 46}{space 3}0.213{col 54}{space 4}-.0157851{col 67}{space 3} .0703486
{txt}{space 3}b_urate_z {c |}{col 14}{res}{space 2} .3545533{col 26}{space 2} .0146561{col 37}{space 1}   24.19{col 46}{space 3}0.000{col 54}{space 4} .3256398{col 67}{space 3} .3834667
{txt}{space 1}b_urate_z_d {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 1}c_tfull_hc2 {c |}{col 14}{res}{space 2} .0150338{col 26}{space 2} .0288718{col 37}{space 1}    0.52{col 46}{space 3}0.603{col 54}{space 4}-.0419245{col 67}{space 3}  .071992
{txt}c_tfull_b_~l {c |}{col 14}{res}{space 2} .0237715{col 26}{space 2}  .033878{col 37}{space 1}    0.70{col 46}{space 3}0.484{col 54}{space 4}-.0430629{col 67}{space 3}  .090606
{txt}c_tfull_b_~s {c |}{col 14}{res}{space 2} .0295139{col 26}{space 2} .0434455{col 37}{space 1}    0.68{col 46}{space 3}0.498{col 54}{space 4}-.0561953{col 67}{space 3} .1152232
{txt}c_tfull_b_~d {c |}{col 14}{res}{space 2} .1472312{col 26}{space 2} .0420304{col 37}{space 1}    3.50{col 46}{space 3}0.001{col 54}{space 4} .0643136{col 67}{space 3} .2301488
{txt}c_tfull_ed~r {c |}{col 14}{res}{space 2}-.0114403{col 26}{space 2} .0021229{col 37}{space 1}   -5.39{col 46}{space 3}0.000{col 54}{space 4}-.0156284{col 67}{space 3}-.0072523
{txt}c_tfull_b_~x {c |}{col 14}{res}{space 2}-.0444239{col 26}{space 2} .0098167{col 37}{space 1}   -4.53{col 46}{space 3}0.000{col 54}{space 4}-.0637903{col 67}{space 3}-.0250575
{txt}{space 7}_cons {c |}{col 14}{res}{space 2}-.0199136{col 26}{space 2} .0156365{col 37}{space 1}   -1.27{col 46}{space 3}0.204{col 54}{space 4}-.0507613{col 67}{space 3} .0109341
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull = .038{p_end}

{txt}       F(  1,   186) ={res}    0.24
{txt}{col 13}Prob > F ={res}    0.6240

{p 0 7}{space 1}{text:( 1)}{space 1} treatfull = -.038{p_end}

{txt}       F(  1,   186) ={res}    8.94
{txt}{col 13}Prob > F ={res}    0.0032
{txt}note: b_urate_z_d omitted because of collinearity
{res}
{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}     7,288
{txt}{col 49}F({res}   8{txt},{res}    186{txt}){col 67}= {res}    101.14
{txt}{col 49}Prob > F{col 67}= {res}    0.0000
{txt}{col 49}R-squared{col 67}= {res}    0.2301
{txt}{col 49}Adj R-squared{col 67}= {res}    0.2277
{txt}{col 49}Root MSE{col 67}= {res}    0.6612

{txt}{ralign 78:(Std. Err. adjusted for {res:187} clusters in hc_id)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}   e_urate_z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2} .0272817{col 26}{space 2} .0218303{col 37}{space 1}    1.25{col 46}{space 3}0.213{col 54}{space 4}-.0157851{col 67}{space 3} .0703486
{txt}{space 3}b_urate_z {c |}{col 14}{res}{space 2} .3545533{col 26}{space 2} .0146561{col 37}{space 1}   24.19{col 46}{space 3}0.000{col 54}{space 4} .3256398{col 67}{space 3} .3834667
{txt}{space 1}b_urate_z_d {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 1}c_tfull_hc2 {c |}{col 14}{res}{space 2} .0150338{col 26}{space 2} .0288718{col 37}{space 1}    0.52{col 46}{space 3}0.603{col 54}{space 4}-.0419245{col 67}{space 3}  .071992
{txt}c_tfull_b_~l {c |}{col 14}{res}{space 2} .0237715{col 26}{space 2}  .033878{col 37}{space 1}    0.70{col 46}{space 3}0.484{col 54}{space 4}-.0430629{col 67}{space 3}  .090606
{txt}c_tfull_b_~s {c |}{col 14}{res}{space 2} .0295139{col 26}{space 2} .0434455{col 37}{space 1}    0.68{col 46}{space 3}0.498{col 54}{space 4}-.0561953{col 67}{space 3} .1152232
{txt}c_tfull_b_~d {c |}{col 14}{res}{space 2} .1472312{col 26}{space 2} .0420304{col 37}{space 1}    3.50{col 46}{space 3}0.001{col 54}{space 4} .0643136{col 67}{space 3} .2301488
{txt}c_tfull_ed~r {c |}{col 14}{res}{space 2}-.0114403{col 26}{space 2} .0021229{col 37}{space 1}   -5.39{col 46}{space 3}0.000{col 54}{space 4}-.0156284{col 67}{space 3}-.0072523
{txt}c_tfull_b_~x {c |}{col 14}{res}{space 2}-.0444239{col 26}{space 2} .0098167{col 37}{space 1}   -4.53{col 46}{space 3}0.000{col 54}{space 4}-.0637903{col 67}{space 3}-.0250575
{txt}{space 7}_cons {c |}{col 14}{res}{space 2}-.0199136{col 26}{space 2} .0156365{col 37}{space 1}   -1.27{col 46}{space 3}0.204{col 54}{space 4}-.0507613{col 67}{space 3} .0109341
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull = .039{p_end}

{txt}       F(  1,   186) ={res}    0.29
{txt}{col 13}Prob > F ={res}    0.5921

{p 0 7}{space 1}{text:( 1)}{space 1} treatfull = -.039{p_end}

{txt}       F(  1,   186) ={res}    9.22
{txt}{col 13}Prob > F ={res}    0.0027
{txt}note: b_urate_z_d omitted because of collinearity
{res}
{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}     7,288
{txt}{col 49}F({res}   8{txt},{res}    186{txt}){col 67}= {res}    101.14
{txt}{col 49}Prob > F{col 67}= {res}    0.0000
{txt}{col 49}R-squared{col 67}= {res}    0.2301
{txt}{col 49}Adj R-squared{col 67}= {res}    0.2277
{txt}{col 49}Root MSE{col 67}= {res}    0.6612

{txt}{ralign 78:(Std. Err. adjusted for {res:187} clusters in hc_id)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}   e_urate_z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2} .0272817{col 26}{space 2} .0218303{col 37}{space 1}    1.25{col 46}{space 3}0.213{col 54}{space 4}-.0157851{col 67}{space 3} .0703486
{txt}{space 3}b_urate_z {c |}{col 14}{res}{space 2} .3545533{col 26}{space 2} .0146561{col 37}{space 1}   24.19{col 46}{space 3}0.000{col 54}{space 4} .3256398{col 67}{space 3} .3834667
{txt}{space 1}b_urate_z_d {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 1}c_tfull_hc2 {c |}{col 14}{res}{space 2} .0150338{col 26}{space 2} .0288718{col 37}{space 1}    0.52{col 46}{space 3}0.603{col 54}{space 4}-.0419245{col 67}{space 3}  .071992
{txt}c_tfull_b_~l {c |}{col 14}{res}{space 2} .0237715{col 26}{space 2}  .033878{col 37}{space 1}    0.70{col 46}{space 3}0.484{col 54}{space 4}-.0430629{col 67}{space 3}  .090606
{txt}c_tfull_b_~s {c |}{col 14}{res}{space 2} .0295139{col 26}{space 2} .0434455{col 37}{space 1}    0.68{col 46}{space 3}0.498{col 54}{space 4}-.0561953{col 67}{space 3} .1152232
{txt}c_tfull_b_~d {c |}{col 14}{res}{space 2} .1472312{col 26}{space 2} .0420304{col 37}{space 1}    3.50{col 46}{space 3}0.001{col 54}{space 4} .0643136{col 67}{space 3} .2301488
{txt}c_tfull_ed~r {c |}{col 14}{res}{space 2}-.0114403{col 26}{space 2} .0021229{col 37}{space 1}   -5.39{col 46}{space 3}0.000{col 54}{space 4}-.0156284{col 67}{space 3}-.0072523
{txt}c_tfull_b_~x {c |}{col 14}{res}{space 2}-.0444239{col 26}{space 2} .0098167{col 37}{space 1}   -4.53{col 46}{space 3}0.000{col 54}{space 4}-.0637903{col 67}{space 3}-.0250575
{txt}{space 7}_cons {c |}{col 14}{res}{space 2}-.0199136{col 26}{space 2} .0156365{col 37}{space 1}   -1.27{col 46}{space 3}0.204{col 54}{space 4}-.0507613{col 67}{space 3} .0109341
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull = .04{p_end}

{txt}       F(  1,   186) ={res}    0.34
{txt}{col 13}Prob > F ={res}    0.5609

{p 0 7}{space 1}{text:( 1)}{space 1} treatfull = -.04{p_end}

{txt}       F(  1,   186) ={res}    9.50
{txt}{col 13}Prob > F ={res}    0.0024
{txt}note: b_urate_z_d omitted because of collinearity
{res}
{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}     7,288
{txt}{col 49}F({res}   8{txt},{res}    186{txt}){col 67}= {res}    101.14
{txt}{col 49}Prob > F{col 67}= {res}    0.0000
{txt}{col 49}R-squared{col 67}= {res}    0.2301
{txt}{col 49}Adj R-squared{col 67}= {res}    0.2277
{txt}{col 49}Root MSE{col 67}= {res}    0.6612

{txt}{ralign 78:(Std. Err. adjusted for {res:187} clusters in hc_id)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}   e_urate_z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2} .0272817{col 26}{space 2} .0218303{col 37}{space 1}    1.25{col 46}{space 3}0.213{col 54}{space 4}-.0157851{col 67}{space 3} .0703486
{txt}{space 3}b_urate_z {c |}{col 14}{res}{space 2} .3545533{col 26}{space 2} .0146561{col 37}{space 1}   24.19{col 46}{space 3}0.000{col 54}{space 4} .3256398{col 67}{space 3} .3834667
{txt}{space 1}b_urate_z_d {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 1}c_tfull_hc2 {c |}{col 14}{res}{space 2} .0150338{col 26}{space 2} .0288718{col 37}{space 1}    0.52{col 46}{space 3}0.603{col 54}{space 4}-.0419245{col 67}{space 3}  .071992
{txt}c_tfull_b_~l {c |}{col 14}{res}{space 2} .0237715{col 26}{space 2}  .033878{col 37}{space 1}    0.70{col 46}{space 3}0.484{col 54}{space 4}-.0430629{col 67}{space 3}  .090606
{txt}c_tfull_b_~s {c |}{col 14}{res}{space 2} .0295139{col 26}{space 2} .0434455{col 37}{space 1}    0.68{col 46}{space 3}0.498{col 54}{space 4}-.0561953{col 67}{space 3} .1152232
{txt}c_tfull_b_~d {c |}{col 14}{res}{space 2} .1472312{col 26}{space 2} .0420304{col 37}{space 1}    3.50{col 46}{space 3}0.001{col 54}{space 4} .0643136{col 67}{space 3} .2301488
{txt}c_tfull_ed~r {c |}{col 14}{res}{space 2}-.0114403{col 26}{space 2} .0021229{col 37}{space 1}   -5.39{col 46}{space 3}0.000{col 54}{space 4}-.0156284{col 67}{space 3}-.0072523
{txt}c_tfull_b_~x {c |}{col 14}{res}{space 2}-.0444239{col 26}{space 2} .0098167{col 37}{space 1}   -4.53{col 46}{space 3}0.000{col 54}{space 4}-.0637903{col 67}{space 3}-.0250575
{txt}{space 7}_cons {c |}{col 14}{res}{space 2}-.0199136{col 26}{space 2} .0156365{col 37}{space 1}   -1.27{col 46}{space 3}0.204{col 54}{space 4}-.0507613{col 67}{space 3} .0109341
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull = .041{p_end}

{txt}       F(  1,   186) ={res}    0.39
{txt}{col 13}Prob > F ={res}    0.5305

{p 0 7}{space 1}{text:( 1)}{space 1} treatfull = -.041{p_end}

{txt}       F(  1,   186) ={res}    9.78
{txt}{col 13}Prob > F ={res}    0.0020
{txt}note: b_urate_z_d omitted because of collinearity
{res}
{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}     7,288
{txt}{col 49}F({res}   8{txt},{res}    186{txt}){col 67}= {res}    101.14
{txt}{col 49}Prob > F{col 67}= {res}    0.0000
{txt}{col 49}R-squared{col 67}= {res}    0.2301
{txt}{col 49}Adj R-squared{col 67}= {res}    0.2277
{txt}{col 49}Root MSE{col 67}= {res}    0.6612

{txt}{ralign 78:(Std. Err. adjusted for {res:187} clusters in hc_id)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}   e_urate_z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2} .0272817{col 26}{space 2} .0218303{col 37}{space 1}    1.25{col 46}{space 3}0.213{col 54}{space 4}-.0157851{col 67}{space 3} .0703486
{txt}{space 3}b_urate_z {c |}{col 14}{res}{space 2} .3545533{col 26}{space 2} .0146561{col 37}{space 1}   24.19{col 46}{space 3}0.000{col 54}{space 4} .3256398{col 67}{space 3} .3834667
{txt}{space 1}b_urate_z_d {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 1}c_tfull_hc2 {c |}{col 14}{res}{space 2} .0150338{col 26}{space 2} .0288718{col 37}{space 1}    0.52{col 46}{space 3}0.603{col 54}{space 4}-.0419245{col 67}{space 3}  .071992
{txt}c_tfull_b_~l {c |}{col 14}{res}{space 2} .0237715{col 26}{space 2}  .033878{col 37}{space 1}    0.70{col 46}{space 3}0.484{col 54}{space 4}-.0430629{col 67}{space 3}  .090606
{txt}c_tfull_b_~s {c |}{col 14}{res}{space 2} .0295139{col 26}{space 2} .0434455{col 37}{space 1}    0.68{col 46}{space 3}0.498{col 54}{space 4}-.0561953{col 67}{space 3} .1152232
{txt}c_tfull_b_~d {c |}{col 14}{res}{space 2} .1472312{col 26}{space 2} .0420304{col 37}{space 1}    3.50{col 46}{space 3}0.001{col 54}{space 4} .0643136{col 67}{space 3} .2301488
{txt}c_tfull_ed~r {c |}{col 14}{res}{space 2}-.0114403{col 26}{space 2} .0021229{col 37}{space 1}   -5.39{col 46}{space 3}0.000{col 54}{space 4}-.0156284{col 67}{space 3}-.0072523
{txt}c_tfull_b_~x {c |}{col 14}{res}{space 2}-.0444239{col 26}{space 2} .0098167{col 37}{space 1}   -4.53{col 46}{space 3}0.000{col 54}{space 4}-.0637903{col 67}{space 3}-.0250575
{txt}{space 7}_cons {c |}{col 14}{res}{space 2}-.0199136{col 26}{space 2} .0156365{col 37}{space 1}   -1.27{col 46}{space 3}0.204{col 54}{space 4}-.0507613{col 67}{space 3} .0109341
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull = .042{p_end}

{txt}       F(  1,   186) ={res}    0.45
{txt}{col 13}Prob > F ={res}    0.5010

{p 0 7}{space 1}{text:( 1)}{space 1} treatfull = -.042{p_end}

{txt}       F(  1,   186) ={res}   10.07
{txt}{col 13}Prob > F ={res}    0.0018
{txt}note: b_urate_z_d omitted because of collinearity
{res}
{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}     7,288
{txt}{col 49}F({res}   8{txt},{res}    186{txt}){col 67}= {res}    101.14
{txt}{col 49}Prob > F{col 67}= {res}    0.0000
{txt}{col 49}R-squared{col 67}= {res}    0.2301
{txt}{col 49}Adj R-squared{col 67}= {res}    0.2277
{txt}{col 49}Root MSE{col 67}= {res}    0.6612

{txt}{ralign 78:(Std. Err. adjusted for {res:187} clusters in hc_id)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}   e_urate_z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2} .0272817{col 26}{space 2} .0218303{col 37}{space 1}    1.25{col 46}{space 3}0.213{col 54}{space 4}-.0157851{col 67}{space 3} .0703486
{txt}{space 3}b_urate_z {c |}{col 14}{res}{space 2} .3545533{col 26}{space 2} .0146561{col 37}{space 1}   24.19{col 46}{space 3}0.000{col 54}{space 4} .3256398{col 67}{space 3} .3834667
{txt}{space 1}b_urate_z_d {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 1}c_tfull_hc2 {c |}{col 14}{res}{space 2} .0150338{col 26}{space 2} .0288718{col 37}{space 1}    0.52{col 46}{space 3}0.603{col 54}{space 4}-.0419245{col 67}{space 3}  .071992
{txt}c_tfull_b_~l {c |}{col 14}{res}{space 2} .0237715{col 26}{space 2}  .033878{col 37}{space 1}    0.70{col 46}{space 3}0.484{col 54}{space 4}-.0430629{col 67}{space 3}  .090606
{txt}c_tfull_b_~s {c |}{col 14}{res}{space 2} .0295139{col 26}{space 2} .0434455{col 37}{space 1}    0.68{col 46}{space 3}0.498{col 54}{space 4}-.0561953{col 67}{space 3} .1152232
{txt}c_tfull_b_~d {c |}{col 14}{res}{space 2} .1472312{col 26}{space 2} .0420304{col 37}{space 1}    3.50{col 46}{space 3}0.001{col 54}{space 4} .0643136{col 67}{space 3} .2301488
{txt}c_tfull_ed~r {c |}{col 14}{res}{space 2}-.0114403{col 26}{space 2} .0021229{col 37}{space 1}   -5.39{col 46}{space 3}0.000{col 54}{space 4}-.0156284{col 67}{space 3}-.0072523
{txt}c_tfull_b_~x {c |}{col 14}{res}{space 2}-.0444239{col 26}{space 2} .0098167{col 37}{space 1}   -4.53{col 46}{space 3}0.000{col 54}{space 4}-.0637903{col 67}{space 3}-.0250575
{txt}{space 7}_cons {c |}{col 14}{res}{space 2}-.0199136{col 26}{space 2} .0156365{col 37}{space 1}   -1.27{col 46}{space 3}0.204{col 54}{space 4}-.0507613{col 67}{space 3} .0109341
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull = .043{p_end}

{txt}       F(  1,   186) ={res}    0.52
{txt}{col 13}Prob > F ={res}    0.4724

{p 0 7}{space 1}{text:( 1)}{space 1} treatfull = -.043{p_end}

{txt}       F(  1,   186) ={res}   10.36
{txt}{col 13}Prob > F ={res}    0.0015
{txt}note: b_urate_z_d omitted because of collinearity
{res}
{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}     7,288
{txt}{col 49}F({res}   8{txt},{res}    186{txt}){col 67}= {res}    101.14
{txt}{col 49}Prob > F{col 67}= {res}    0.0000
{txt}{col 49}R-squared{col 67}= {res}    0.2301
{txt}{col 49}Adj R-squared{col 67}= {res}    0.2277
{txt}{col 49}Root MSE{col 67}= {res}    0.6612

{txt}{ralign 78:(Std. Err. adjusted for {res:187} clusters in hc_id)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}   e_urate_z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2} .0272817{col 26}{space 2} .0218303{col 37}{space 1}    1.25{col 46}{space 3}0.213{col 54}{space 4}-.0157851{col 67}{space 3} .0703486
{txt}{space 3}b_urate_z {c |}{col 14}{res}{space 2} .3545533{col 26}{space 2} .0146561{col 37}{space 1}   24.19{col 46}{space 3}0.000{col 54}{space 4} .3256398{col 67}{space 3} .3834667
{txt}{space 1}b_urate_z_d {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 1}c_tfull_hc2 {c |}{col 14}{res}{space 2} .0150338{col 26}{space 2} .0288718{col 37}{space 1}    0.52{col 46}{space 3}0.603{col 54}{space 4}-.0419245{col 67}{space 3}  .071992
{txt}c_tfull_b_~l {c |}{col 14}{res}{space 2} .0237715{col 26}{space 2}  .033878{col 37}{space 1}    0.70{col 46}{space 3}0.484{col 54}{space 4}-.0430629{col 67}{space 3}  .090606
{txt}c_tfull_b_~s {c |}{col 14}{res}{space 2} .0295139{col 26}{space 2} .0434455{col 37}{space 1}    0.68{col 46}{space 3}0.498{col 54}{space 4}-.0561953{col 67}{space 3} .1152232
{txt}c_tfull_b_~d {c |}{col 14}{res}{space 2} .1472312{col 26}{space 2} .0420304{col 37}{space 1}    3.50{col 46}{space 3}0.001{col 54}{space 4} .0643136{col 67}{space 3} .2301488
{txt}c_tfull_ed~r {c |}{col 14}{res}{space 2}-.0114403{col 26}{space 2} .0021229{col 37}{space 1}   -5.39{col 46}{space 3}0.000{col 54}{space 4}-.0156284{col 67}{space 3}-.0072523
{txt}c_tfull_b_~x {c |}{col 14}{res}{space 2}-.0444239{col 26}{space 2} .0098167{col 37}{space 1}   -4.53{col 46}{space 3}0.000{col 54}{space 4}-.0637903{col 67}{space 3}-.0250575
{txt}{space 7}_cons {c |}{col 14}{res}{space 2}-.0199136{col 26}{space 2} .0156365{col 37}{space 1}   -1.27{col 46}{space 3}0.204{col 54}{space 4}-.0507613{col 67}{space 3} .0109341
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull = .044{p_end}

{txt}       F(  1,   186) ={res}    0.59
{txt}{col 13}Prob > F ={res}    0.4447

{p 0 7}{space 1}{text:( 1)}{space 1} treatfull = -.044{p_end}

{txt}       F(  1,   186) ={res}   10.66
{txt}{col 13}Prob > F ={res}    0.0013
{txt}note: b_urate_z_d omitted because of collinearity
{res}
{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}     7,288
{txt}{col 49}F({res}   8{txt},{res}    186{txt}){col 67}= {res}    101.14
{txt}{col 49}Prob > F{col 67}= {res}    0.0000
{txt}{col 49}R-squared{col 67}= {res}    0.2301
{txt}{col 49}Adj R-squared{col 67}= {res}    0.2277
{txt}{col 49}Root MSE{col 67}= {res}    0.6612

{txt}{ralign 78:(Std. Err. adjusted for {res:187} clusters in hc_id)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}   e_urate_z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2} .0272817{col 26}{space 2} .0218303{col 37}{space 1}    1.25{col 46}{space 3}0.213{col 54}{space 4}-.0157851{col 67}{space 3} .0703486
{txt}{space 3}b_urate_z {c |}{col 14}{res}{space 2} .3545533{col 26}{space 2} .0146561{col 37}{space 1}   24.19{col 46}{space 3}0.000{col 54}{space 4} .3256398{col 67}{space 3} .3834667
{txt}{space 1}b_urate_z_d {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 1}c_tfull_hc2 {c |}{col 14}{res}{space 2} .0150338{col 26}{space 2} .0288718{col 37}{space 1}    0.52{col 46}{space 3}0.603{col 54}{space 4}-.0419245{col 67}{space 3}  .071992
{txt}c_tfull_b_~l {c |}{col 14}{res}{space 2} .0237715{col 26}{space 2}  .033878{col 37}{space 1}    0.70{col 46}{space 3}0.484{col 54}{space 4}-.0430629{col 67}{space 3}  .090606
{txt}c_tfull_b_~s {c |}{col 14}{res}{space 2} .0295139{col 26}{space 2} .0434455{col 37}{space 1}    0.68{col 46}{space 3}0.498{col 54}{space 4}-.0561953{col 67}{space 3} .1152232
{txt}c_tfull_b_~d {c |}{col 14}{res}{space 2} .1472312{col 26}{space 2} .0420304{col 37}{space 1}    3.50{col 46}{space 3}0.001{col 54}{space 4} .0643136{col 67}{space 3} .2301488
{txt}c_tfull_ed~r {c |}{col 14}{res}{space 2}-.0114403{col 26}{space 2} .0021229{col 37}{space 1}   -5.39{col 46}{space 3}0.000{col 54}{space 4}-.0156284{col 67}{space 3}-.0072523
{txt}c_tfull_b_~x {c |}{col 14}{res}{space 2}-.0444239{col 26}{space 2} .0098167{col 37}{space 1}   -4.53{col 46}{space 3}0.000{col 54}{space 4}-.0637903{col 67}{space 3}-.0250575
{txt}{space 7}_cons {c |}{col 14}{res}{space 2}-.0199136{col 26}{space 2} .0156365{col 37}{space 1}   -1.27{col 46}{space 3}0.204{col 54}{space 4}-.0507613{col 67}{space 3} .0109341
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull = .045{p_end}

{txt}       F(  1,   186) ={res}    0.66
{txt}{col 13}Prob > F ={res}    0.4180

{p 0 7}{space 1}{text:( 1)}{space 1} treatfull = -.045{p_end}

{txt}       F(  1,   186) ={res}   10.96
{txt}{col 13}Prob > F ={res}    0.0011
{txt}note: b_urate_z_d omitted because of collinearity
{res}
{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}     7,288
{txt}{col 49}F({res}   8{txt},{res}    186{txt}){col 67}= {res}    101.14
{txt}{col 49}Prob > F{col 67}= {res}    0.0000
{txt}{col 49}R-squared{col 67}= {res}    0.2301
{txt}{col 49}Adj R-squared{col 67}= {res}    0.2277
{txt}{col 49}Root MSE{col 67}= {res}    0.6612

{txt}{ralign 78:(Std. Err. adjusted for {res:187} clusters in hc_id)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}   e_urate_z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2} .0272817{col 26}{space 2} .0218303{col 37}{space 1}    1.25{col 46}{space 3}0.213{col 54}{space 4}-.0157851{col 67}{space 3} .0703486
{txt}{space 3}b_urate_z {c |}{col 14}{res}{space 2} .3545533{col 26}{space 2} .0146561{col 37}{space 1}   24.19{col 46}{space 3}0.000{col 54}{space 4} .3256398{col 67}{space 3} .3834667
{txt}{space 1}b_urate_z_d {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 1}c_tfull_hc2 {c |}{col 14}{res}{space 2} .0150338{col 26}{space 2} .0288718{col 37}{space 1}    0.52{col 46}{space 3}0.603{col 54}{space 4}-.0419245{col 67}{space 3}  .071992
{txt}c_tfull_b_~l {c |}{col 14}{res}{space 2} .0237715{col 26}{space 2}  .033878{col 37}{space 1}    0.70{col 46}{space 3}0.484{col 54}{space 4}-.0430629{col 67}{space 3}  .090606
{txt}c_tfull_b_~s {c |}{col 14}{res}{space 2} .0295139{col 26}{space 2} .0434455{col 37}{space 1}    0.68{col 46}{space 3}0.498{col 54}{space 4}-.0561953{col 67}{space 3} .1152232
{txt}c_tfull_b_~d {c |}{col 14}{res}{space 2} .1472312{col 26}{space 2} .0420304{col 37}{space 1}    3.50{col 46}{space 3}0.001{col 54}{space 4} .0643136{col 67}{space 3} .2301488
{txt}c_tfull_ed~r {c |}{col 14}{res}{space 2}-.0114403{col 26}{space 2} .0021229{col 37}{space 1}   -5.39{col 46}{space 3}0.000{col 54}{space 4}-.0156284{col 67}{space 3}-.0072523
{txt}c_tfull_b_~x {c |}{col 14}{res}{space 2}-.0444239{col 26}{space 2} .0098167{col 37}{space 1}   -4.53{col 46}{space 3}0.000{col 54}{space 4}-.0637903{col 67}{space 3}-.0250575
{txt}{space 7}_cons {c |}{col 14}{res}{space 2}-.0199136{col 26}{space 2} .0156365{col 37}{space 1}   -1.27{col 46}{space 3}0.204{col 54}{space 4}-.0507613{col 67}{space 3} .0109341
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull = .046{p_end}

{txt}       F(  1,   186) ={res}    0.74
{txt}{col 13}Prob > F ={res}    0.3923

{p 0 7}{space 1}{text:( 1)}{space 1} treatfull = -.046{p_end}

{txt}       F(  1,   186) ={res}   11.27
{txt}{col 13}Prob > F ={res}    0.0010
{txt}note: b_urate_z_d omitted because of collinearity
{res}
{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}     7,288
{txt}{col 49}F({res}   8{txt},{res}    186{txt}){col 67}= {res}    101.14
{txt}{col 49}Prob > F{col 67}= {res}    0.0000
{txt}{col 49}R-squared{col 67}= {res}    0.2301
{txt}{col 49}Adj R-squared{col 67}= {res}    0.2277
{txt}{col 49}Root MSE{col 67}= {res}    0.6612

{txt}{ralign 78:(Std. Err. adjusted for {res:187} clusters in hc_id)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}   e_urate_z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2} .0272817{col 26}{space 2} .0218303{col 37}{space 1}    1.25{col 46}{space 3}0.213{col 54}{space 4}-.0157851{col 67}{space 3} .0703486
{txt}{space 3}b_urate_z {c |}{col 14}{res}{space 2} .3545533{col 26}{space 2} .0146561{col 37}{space 1}   24.19{col 46}{space 3}0.000{col 54}{space 4} .3256398{col 67}{space 3} .3834667
{txt}{space 1}b_urate_z_d {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 1}c_tfull_hc2 {c |}{col 14}{res}{space 2} .0150338{col 26}{space 2} .0288718{col 37}{space 1}    0.52{col 46}{space 3}0.603{col 54}{space 4}-.0419245{col 67}{space 3}  .071992
{txt}c_tfull_b_~l {c |}{col 14}{res}{space 2} .0237715{col 26}{space 2}  .033878{col 37}{space 1}    0.70{col 46}{space 3}0.484{col 54}{space 4}-.0430629{col 67}{space 3}  .090606
{txt}c_tfull_b_~s {c |}{col 14}{res}{space 2} .0295139{col 26}{space 2} .0434455{col 37}{space 1}    0.68{col 46}{space 3}0.498{col 54}{space 4}-.0561953{col 67}{space 3} .1152232
{txt}c_tfull_b_~d {c |}{col 14}{res}{space 2} .1472312{col 26}{space 2} .0420304{col 37}{space 1}    3.50{col 46}{space 3}0.001{col 54}{space 4} .0643136{col 67}{space 3} .2301488
{txt}c_tfull_ed~r {c |}{col 14}{res}{space 2}-.0114403{col 26}{space 2} .0021229{col 37}{space 1}   -5.39{col 46}{space 3}0.000{col 54}{space 4}-.0156284{col 67}{space 3}-.0072523
{txt}c_tfull_b_~x {c |}{col 14}{res}{space 2}-.0444239{col 26}{space 2} .0098167{col 37}{space 1}   -4.53{col 46}{space 3}0.000{col 54}{space 4}-.0637903{col 67}{space 3}-.0250575
{txt}{space 7}_cons {c |}{col 14}{res}{space 2}-.0199136{col 26}{space 2} .0156365{col 37}{space 1}   -1.27{col 46}{space 3}0.204{col 54}{space 4}-.0507613{col 67}{space 3} .0109341
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull = .047{p_end}

{txt}       F(  1,   186) ={res}    0.82
{txt}{col 13}Prob > F ={res}    0.3676

{p 0 7}{space 1}{text:( 1)}{space 1} treatfull = -.047{p_end}

{txt}       F(  1,   186) ={res}   11.58
{txt}{col 13}Prob > F ={res}    0.0008
{txt}note: b_urate_z_d omitted because of collinearity
{res}
{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}     7,288
{txt}{col 49}F({res}   8{txt},{res}    186{txt}){col 67}= {res}    101.14
{txt}{col 49}Prob > F{col 67}= {res}    0.0000
{txt}{col 49}R-squared{col 67}= {res}    0.2301
{txt}{col 49}Adj R-squared{col 67}= {res}    0.2277
{txt}{col 49}Root MSE{col 67}= {res}    0.6612

{txt}{ralign 78:(Std. Err. adjusted for {res:187} clusters in hc_id)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}   e_urate_z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2} .0272817{col 26}{space 2} .0218303{col 37}{space 1}    1.25{col 46}{space 3}0.213{col 54}{space 4}-.0157851{col 67}{space 3} .0703486
{txt}{space 3}b_urate_z {c |}{col 14}{res}{space 2} .3545533{col 26}{space 2} .0146561{col 37}{space 1}   24.19{col 46}{space 3}0.000{col 54}{space 4} .3256398{col 67}{space 3} .3834667
{txt}{space 1}b_urate_z_d {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 1}c_tfull_hc2 {c |}{col 14}{res}{space 2} .0150338{col 26}{space 2} .0288718{col 37}{space 1}    0.52{col 46}{space 3}0.603{col 54}{space 4}-.0419245{col 67}{space 3}  .071992
{txt}c_tfull_b_~l {c |}{col 14}{res}{space 2} .0237715{col 26}{space 2}  .033878{col 37}{space 1}    0.70{col 46}{space 3}0.484{col 54}{space 4}-.0430629{col 67}{space 3}  .090606
{txt}c_tfull_b_~s {c |}{col 14}{res}{space 2} .0295139{col 26}{space 2} .0434455{col 37}{space 1}    0.68{col 46}{space 3}0.498{col 54}{space 4}-.0561953{col 67}{space 3} .1152232
{txt}c_tfull_b_~d {c |}{col 14}{res}{space 2} .1472312{col 26}{space 2} .0420304{col 37}{space 1}    3.50{col 46}{space 3}0.001{col 54}{space 4} .0643136{col 67}{space 3} .2301488
{txt}c_tfull_ed~r {c |}{col 14}{res}{space 2}-.0114403{col 26}{space 2} .0021229{col 37}{space 1}   -5.39{col 46}{space 3}0.000{col 54}{space 4}-.0156284{col 67}{space 3}-.0072523
{txt}c_tfull_b_~x {c |}{col 14}{res}{space 2}-.0444239{col 26}{space 2} .0098167{col 37}{space 1}   -4.53{col 46}{space 3}0.000{col 54}{space 4}-.0637903{col 67}{space 3}-.0250575
{txt}{space 7}_cons {c |}{col 14}{res}{space 2}-.0199136{col 26}{space 2} .0156365{col 37}{space 1}   -1.27{col 46}{space 3}0.204{col 54}{space 4}-.0507613{col 67}{space 3} .0109341
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull = .048{p_end}

{txt}       F(  1,   186) ={res}    0.90
{txt}{col 13}Prob > F ={res}    0.3438

{p 0 7}{space 1}{text:( 1)}{space 1} treatfull = -.048{p_end}

{txt}       F(  1,   186) ={res}   11.89
{txt}{col 13}Prob > F ={res}    0.0007
{txt}note: b_urate_z_d omitted because of collinearity
{res}
{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}     7,288
{txt}{col 49}F({res}   8{txt},{res}    186{txt}){col 67}= {res}    101.14
{txt}{col 49}Prob > F{col 67}= {res}    0.0000
{txt}{col 49}R-squared{col 67}= {res}    0.2301
{txt}{col 49}Adj R-squared{col 67}= {res}    0.2277
{txt}{col 49}Root MSE{col 67}= {res}    0.6612

{txt}{ralign 78:(Std. Err. adjusted for {res:187} clusters in hc_id)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}   e_urate_z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2} .0272817{col 26}{space 2} .0218303{col 37}{space 1}    1.25{col 46}{space 3}0.213{col 54}{space 4}-.0157851{col 67}{space 3} .0703486
{txt}{space 3}b_urate_z {c |}{col 14}{res}{space 2} .3545533{col 26}{space 2} .0146561{col 37}{space 1}   24.19{col 46}{space 3}0.000{col 54}{space 4} .3256398{col 67}{space 3} .3834667
{txt}{space 1}b_urate_z_d {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 1}c_tfull_hc2 {c |}{col 14}{res}{space 2} .0150338{col 26}{space 2} .0288718{col 37}{space 1}    0.52{col 46}{space 3}0.603{col 54}{space 4}-.0419245{col 67}{space 3}  .071992
{txt}c_tfull_b_~l {c |}{col 14}{res}{space 2} .0237715{col 26}{space 2}  .033878{col 37}{space 1}    0.70{col 46}{space 3}0.484{col 54}{space 4}-.0430629{col 67}{space 3}  .090606
{txt}c_tfull_b_~s {c |}{col 14}{res}{space 2} .0295139{col 26}{space 2} .0434455{col 37}{space 1}    0.68{col 46}{space 3}0.498{col 54}{space 4}-.0561953{col 67}{space 3} .1152232
{txt}c_tfull_b_~d {c |}{col 14}{res}{space 2} .1472312{col 26}{space 2} .0420304{col 37}{space 1}    3.50{col 46}{space 3}0.001{col 54}{space 4} .0643136{col 67}{space 3} .2301488
{txt}c_tfull_ed~r {c |}{col 14}{res}{space 2}-.0114403{col 26}{space 2} .0021229{col 37}{space 1}   -5.39{col 46}{space 3}0.000{col 54}{space 4}-.0156284{col 67}{space 3}-.0072523
{txt}c_tfull_b_~x {c |}{col 14}{res}{space 2}-.0444239{col 26}{space 2} .0098167{col 37}{space 1}   -4.53{col 46}{space 3}0.000{col 54}{space 4}-.0637903{col 67}{space 3}-.0250575
{txt}{space 7}_cons {c |}{col 14}{res}{space 2}-.0199136{col 26}{space 2} .0156365{col 37}{space 1}   -1.27{col 46}{space 3}0.204{col 54}{space 4}-.0507613{col 67}{space 3} .0109341
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull = .049{p_end}

{txt}       F(  1,   186) ={res}    0.99
{txt}{col 13}Prob > F ={res}    0.3211

{p 0 7}{space 1}{text:( 1)}{space 1} treatfull = -.049{p_end}

{txt}       F(  1,   186) ={res}   12.21
{txt}{col 13}Prob > F ={res}    0.0006
{txt}note: b_urate_z_d omitted because of collinearity
{res}
{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}     7,288
{txt}{col 49}F({res}   8{txt},{res}    186{txt}){col 67}= {res}    101.14
{txt}{col 49}Prob > F{col 67}= {res}    0.0000
{txt}{col 49}R-squared{col 67}= {res}    0.2301
{txt}{col 49}Adj R-squared{col 67}= {res}    0.2277
{txt}{col 49}Root MSE{col 67}= {res}    0.6612

{txt}{ralign 78:(Std. Err. adjusted for {res:187} clusters in hc_id)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}   e_urate_z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2} .0272817{col 26}{space 2} .0218303{col 37}{space 1}    1.25{col 46}{space 3}0.213{col 54}{space 4}-.0157851{col 67}{space 3} .0703486
{txt}{space 3}b_urate_z {c |}{col 14}{res}{space 2} .3545533{col 26}{space 2} .0146561{col 37}{space 1}   24.19{col 46}{space 3}0.000{col 54}{space 4} .3256398{col 67}{space 3} .3834667
{txt}{space 1}b_urate_z_d {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 1}c_tfull_hc2 {c |}{col 14}{res}{space 2} .0150338{col 26}{space 2} .0288718{col 37}{space 1}    0.52{col 46}{space 3}0.603{col 54}{space 4}-.0419245{col 67}{space 3}  .071992
{txt}c_tfull_b_~l {c |}{col 14}{res}{space 2} .0237715{col 26}{space 2}  .033878{col 37}{space 1}    0.70{col 46}{space 3}0.484{col 54}{space 4}-.0430629{col 67}{space 3}  .090606
{txt}c_tfull_b_~s {c |}{col 14}{res}{space 2} .0295139{col 26}{space 2} .0434455{col 37}{space 1}    0.68{col 46}{space 3}0.498{col 54}{space 4}-.0561953{col 67}{space 3} .1152232
{txt}c_tfull_b_~d {c |}{col 14}{res}{space 2} .1472312{col 26}{space 2} .0420304{col 37}{space 1}    3.50{col 46}{space 3}0.001{col 54}{space 4} .0643136{col 67}{space 3} .2301488
{txt}c_tfull_ed~r {c |}{col 14}{res}{space 2}-.0114403{col 26}{space 2} .0021229{col 37}{space 1}   -5.39{col 46}{space 3}0.000{col 54}{space 4}-.0156284{col 67}{space 3}-.0072523
{txt}c_tfull_b_~x {c |}{col 14}{res}{space 2}-.0444239{col 26}{space 2} .0098167{col 37}{space 1}   -4.53{col 46}{space 3}0.000{col 54}{space 4}-.0637903{col 67}{space 3}-.0250575
{txt}{space 7}_cons {c |}{col 14}{res}{space 2}-.0199136{col 26}{space 2} .0156365{col 37}{space 1}   -1.27{col 46}{space 3}0.204{col 54}{space 4}-.0507613{col 67}{space 3} .0109341
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull = .05{p_end}

{txt}       F(  1,   186) ={res}    1.08
{txt}{col 13}Prob > F ={res}    0.2994

{p 0 7}{space 1}{text:( 1)}{space 1} treatfull = -.05{p_end}

{txt}       F(  1,   186) ={res}   12.53
{txt}{col 13}Prob > F ={res}    0.0005
{txt}note: b_urate_z_d omitted because of collinearity
{res}
{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}     7,288
{txt}{col 49}F({res}   8{txt},{res}    186{txt}){col 67}= {res}    101.14
{txt}{col 49}Prob > F{col 67}= {res}    0.0000
{txt}{col 49}R-squared{col 67}= {res}    0.2301
{txt}{col 49}Adj R-squared{col 67}= {res}    0.2277
{txt}{col 49}Root MSE{col 67}= {res}    0.6612

{txt}{ralign 78:(Std. Err. adjusted for {res:187} clusters in hc_id)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}   e_urate_z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2} .0272817{col 26}{space 2} .0218303{col 37}{space 1}    1.25{col 46}{space 3}0.213{col 54}{space 4}-.0157851{col 67}{space 3} .0703486
{txt}{space 3}b_urate_z {c |}{col 14}{res}{space 2} .3545533{col 26}{space 2} .0146561{col 37}{space 1}   24.19{col 46}{space 3}0.000{col 54}{space 4} .3256398{col 67}{space 3} .3834667
{txt}{space 1}b_urate_z_d {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 1}c_tfull_hc2 {c |}{col 14}{res}{space 2} .0150338{col 26}{space 2} .0288718{col 37}{space 1}    0.52{col 46}{space 3}0.603{col 54}{space 4}-.0419245{col 67}{space 3}  .071992
{txt}c_tfull_b_~l {c |}{col 14}{res}{space 2} .0237715{col 26}{space 2}  .033878{col 37}{space 1}    0.70{col 46}{space 3}0.484{col 54}{space 4}-.0430629{col 67}{space 3}  .090606
{txt}c_tfull_b_~s {c |}{col 14}{res}{space 2} .0295139{col 26}{space 2} .0434455{col 37}{space 1}    0.68{col 46}{space 3}0.498{col 54}{space 4}-.0561953{col 67}{space 3} .1152232
{txt}c_tfull_b_~d {c |}{col 14}{res}{space 2} .1472312{col 26}{space 2} .0420304{col 37}{space 1}    3.50{col 46}{space 3}0.001{col 54}{space 4} .0643136{col 67}{space 3} .2301488
{txt}c_tfull_ed~r {c |}{col 14}{res}{space 2}-.0114403{col 26}{space 2} .0021229{col 37}{space 1}   -5.39{col 46}{space 3}0.000{col 54}{space 4}-.0156284{col 67}{space 3}-.0072523
{txt}c_tfull_b_~x {c |}{col 14}{res}{space 2}-.0444239{col 26}{space 2} .0098167{col 37}{space 1}   -4.53{col 46}{space 3}0.000{col 54}{space 4}-.0637903{col 67}{space 3}-.0250575
{txt}{space 7}_cons {c |}{col 14}{res}{space 2}-.0199136{col 26}{space 2} .0156365{col 37}{space 1}   -1.27{col 46}{space 3}0.204{col 54}{space 4}-.0507613{col 67}{space 3} .0109341
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull = .051{p_end}

{txt}       F(  1,   186) ={res}    1.18
{txt}{col 13}Prob > F ={res}    0.2787

{p 0 7}{space 1}{text:( 1)}{space 1} treatfull = -.051{p_end}

{txt}       F(  1,   186) ={res}   12.86
{txt}{col 13}Prob > F ={res}    0.0004
{txt}note: b_urate_z_d omitted because of collinearity
{res}
{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}     7,288
{txt}{col 49}F({res}   8{txt},{res}    186{txt}){col 67}= {res}    101.14
{txt}{col 49}Prob > F{col 67}= {res}    0.0000
{txt}{col 49}R-squared{col 67}= {res}    0.2301
{txt}{col 49}Adj R-squared{col 67}= {res}    0.2277
{txt}{col 49}Root MSE{col 67}= {res}    0.6612

{txt}{ralign 78:(Std. Err. adjusted for {res:187} clusters in hc_id)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}   e_urate_z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2} .0272817{col 26}{space 2} .0218303{col 37}{space 1}    1.25{col 46}{space 3}0.213{col 54}{space 4}-.0157851{col 67}{space 3} .0703486
{txt}{space 3}b_urate_z {c |}{col 14}{res}{space 2} .3545533{col 26}{space 2} .0146561{col 37}{space 1}   24.19{col 46}{space 3}0.000{col 54}{space 4} .3256398{col 67}{space 3} .3834667
{txt}{space 1}b_urate_z_d {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 1}c_tfull_hc2 {c |}{col 14}{res}{space 2} .0150338{col 26}{space 2} .0288718{col 37}{space 1}    0.52{col 46}{space 3}0.603{col 54}{space 4}-.0419245{col 67}{space 3}  .071992
{txt}c_tfull_b_~l {c |}{col 14}{res}{space 2} .0237715{col 26}{space 2}  .033878{col 37}{space 1}    0.70{col 46}{space 3}0.484{col 54}{space 4}-.0430629{col 67}{space 3}  .090606
{txt}c_tfull_b_~s {c |}{col 14}{res}{space 2} .0295139{col 26}{space 2} .0434455{col 37}{space 1}    0.68{col 46}{space 3}0.498{col 54}{space 4}-.0561953{col 67}{space 3} .1152232
{txt}c_tfull_b_~d {c |}{col 14}{res}{space 2} .1472312{col 26}{space 2} .0420304{col 37}{space 1}    3.50{col 46}{space 3}0.001{col 54}{space 4} .0643136{col 67}{space 3} .2301488
{txt}c_tfull_ed~r {c |}{col 14}{res}{space 2}-.0114403{col 26}{space 2} .0021229{col 37}{space 1}   -5.39{col 46}{space 3}0.000{col 54}{space 4}-.0156284{col 67}{space 3}-.0072523
{txt}c_tfull_b_~x {c |}{col 14}{res}{space 2}-.0444239{col 26}{space 2} .0098167{col 37}{space 1}   -4.53{col 46}{space 3}0.000{col 54}{space 4}-.0637903{col 67}{space 3}-.0250575
{txt}{space 7}_cons {c |}{col 14}{res}{space 2}-.0199136{col 26}{space 2} .0156365{col 37}{space 1}   -1.27{col 46}{space 3}0.204{col 54}{space 4}-.0507613{col 67}{space 3} .0109341
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull = .052{p_end}

{txt}       F(  1,   186) ={res}    1.28
{txt}{col 13}Prob > F ={res}    0.2590

{p 0 7}{space 1}{text:( 1)}{space 1} treatfull = -.052{p_end}

{txt}       F(  1,   186) ={res}   13.19
{txt}{col 13}Prob > F ={res}    0.0004
{txt}note: b_urate_z_d omitted because of collinearity
{res}
{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}     7,288
{txt}{col 49}F({res}   8{txt},{res}    186{txt}){col 67}= {res}    101.14
{txt}{col 49}Prob > F{col 67}= {res}    0.0000
{txt}{col 49}R-squared{col 67}= {res}    0.2301
{txt}{col 49}Adj R-squared{col 67}= {res}    0.2277
{txt}{col 49}Root MSE{col 67}= {res}    0.6612

{txt}{ralign 78:(Std. Err. adjusted for {res:187} clusters in hc_id)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}   e_urate_z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2} .0272817{col 26}{space 2} .0218303{col 37}{space 1}    1.25{col 46}{space 3}0.213{col 54}{space 4}-.0157851{col 67}{space 3} .0703486
{txt}{space 3}b_urate_z {c |}{col 14}{res}{space 2} .3545533{col 26}{space 2} .0146561{col 37}{space 1}   24.19{col 46}{space 3}0.000{col 54}{space 4} .3256398{col 67}{space 3} .3834667
{txt}{space 1}b_urate_z_d {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 1}c_tfull_hc2 {c |}{col 14}{res}{space 2} .0150338{col 26}{space 2} .0288718{col 37}{space 1}    0.52{col 46}{space 3}0.603{col 54}{space 4}-.0419245{col 67}{space 3}  .071992
{txt}c_tfull_b_~l {c |}{col 14}{res}{space 2} .0237715{col 26}{space 2}  .033878{col 37}{space 1}    0.70{col 46}{space 3}0.484{col 54}{space 4}-.0430629{col 67}{space 3}  .090606
{txt}c_tfull_b_~s {c |}{col 14}{res}{space 2} .0295139{col 26}{space 2} .0434455{col 37}{space 1}    0.68{col 46}{space 3}0.498{col 54}{space 4}-.0561953{col 67}{space 3} .1152232
{txt}c_tfull_b_~d {c |}{col 14}{res}{space 2} .1472312{col 26}{space 2} .0420304{col 37}{space 1}    3.50{col 46}{space 3}0.001{col 54}{space 4} .0643136{col 67}{space 3} .2301488
{txt}c_tfull_ed~r {c |}{col 14}{res}{space 2}-.0114403{col 26}{space 2} .0021229{col 37}{space 1}   -5.39{col 46}{space 3}0.000{col 54}{space 4}-.0156284{col 67}{space 3}-.0072523
{txt}c_tfull_b_~x {c |}{col 14}{res}{space 2}-.0444239{col 26}{space 2} .0098167{col 37}{space 1}   -4.53{col 46}{space 3}0.000{col 54}{space 4}-.0637903{col 67}{space 3}-.0250575
{txt}{space 7}_cons {c |}{col 14}{res}{space 2}-.0199136{col 26}{space 2} .0156365{col 37}{space 1}   -1.27{col 46}{space 3}0.204{col 54}{space 4}-.0507613{col 67}{space 3} .0109341
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull = .053{p_end}

{txt}       F(  1,   186) ={res}    1.39
{txt}{col 13}Prob > F ={res}    0.2403

{p 0 7}{space 1}{text:( 1)}{space 1} treatfull = -.053{p_end}

{txt}       F(  1,   186) ={res}   13.52
{txt}{col 13}Prob > F ={res}    0.0003
{txt}note: b_urate_z_d omitted because of collinearity
{res}
{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}     7,288
{txt}{col 49}F({res}   8{txt},{res}    186{txt}){col 67}= {res}    101.14
{txt}{col 49}Prob > F{col 67}= {res}    0.0000
{txt}{col 49}R-squared{col 67}= {res}    0.2301
{txt}{col 49}Adj R-squared{col 67}= {res}    0.2277
{txt}{col 49}Root MSE{col 67}= {res}    0.6612

{txt}{ralign 78:(Std. Err. adjusted for {res:187} clusters in hc_id)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}   e_urate_z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2} .0272817{col 26}{space 2} .0218303{col 37}{space 1}    1.25{col 46}{space 3}0.213{col 54}{space 4}-.0157851{col 67}{space 3} .0703486
{txt}{space 3}b_urate_z {c |}{col 14}{res}{space 2} .3545533{col 26}{space 2} .0146561{col 37}{space 1}   24.19{col 46}{space 3}0.000{col 54}{space 4} .3256398{col 67}{space 3} .3834667
{txt}{space 1}b_urate_z_d {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 1}c_tfull_hc2 {c |}{col 14}{res}{space 2} .0150338{col 26}{space 2} .0288718{col 37}{space 1}    0.52{col 46}{space 3}0.603{col 54}{space 4}-.0419245{col 67}{space 3}  .071992
{txt}c_tfull_b_~l {c |}{col 14}{res}{space 2} .0237715{col 26}{space 2}  .033878{col 37}{space 1}    0.70{col 46}{space 3}0.484{col 54}{space 4}-.0430629{col 67}{space 3}  .090606
{txt}c_tfull_b_~s {c |}{col 14}{res}{space 2} .0295139{col 26}{space 2} .0434455{col 37}{space 1}    0.68{col 46}{space 3}0.498{col 54}{space 4}-.0561953{col 67}{space 3} .1152232
{txt}c_tfull_b_~d {c |}{col 14}{res}{space 2} .1472312{col 26}{space 2} .0420304{col 37}{space 1}    3.50{col 46}{space 3}0.001{col 54}{space 4} .0643136{col 67}{space 3} .2301488
{txt}c_tfull_ed~r {c |}{col 14}{res}{space 2}-.0114403{col 26}{space 2} .0021229{col 37}{space 1}   -5.39{col 46}{space 3}0.000{col 54}{space 4}-.0156284{col 67}{space 3}-.0072523
{txt}c_tfull_b_~x {c |}{col 14}{res}{space 2}-.0444239{col 26}{space 2} .0098167{col 37}{space 1}   -4.53{col 46}{space 3}0.000{col 54}{space 4}-.0637903{col 67}{space 3}-.0250575
{txt}{space 7}_cons {c |}{col 14}{res}{space 2}-.0199136{col 26}{space 2} .0156365{col 37}{space 1}   -1.27{col 46}{space 3}0.204{col 54}{space 4}-.0507613{col 67}{space 3} .0109341
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull = .054{p_end}

{txt}       F(  1,   186) ={res}    1.50
{txt}{col 13}Prob > F ={res}    0.2225

{p 0 7}{space 1}{text:( 1)}{space 1} treatfull = -.054{p_end}

{txt}       F(  1,   186) ={res}   13.86
{txt}{col 13}Prob > F ={res}    0.0003
{txt}note: b_urate_z_d omitted because of collinearity
{res}
{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}     7,288
{txt}{col 49}F({res}   8{txt},{res}    186{txt}){col 67}= {res}    101.14
{txt}{col 49}Prob > F{col 67}= {res}    0.0000
{txt}{col 49}R-squared{col 67}= {res}    0.2301
{txt}{col 49}Adj R-squared{col 67}= {res}    0.2277
{txt}{col 49}Root MSE{col 67}= {res}    0.6612

{txt}{ralign 78:(Std. Err. adjusted for {res:187} clusters in hc_id)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}   e_urate_z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2} .0272817{col 26}{space 2} .0218303{col 37}{space 1}    1.25{col 46}{space 3}0.213{col 54}{space 4}-.0157851{col 67}{space 3} .0703486
{txt}{space 3}b_urate_z {c |}{col 14}{res}{space 2} .3545533{col 26}{space 2} .0146561{col 37}{space 1}   24.19{col 46}{space 3}0.000{col 54}{space 4} .3256398{col 67}{space 3} .3834667
{txt}{space 1}b_urate_z_d {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 1}c_tfull_hc2 {c |}{col 14}{res}{space 2} .0150338{col 26}{space 2} .0288718{col 37}{space 1}    0.52{col 46}{space 3}0.603{col 54}{space 4}-.0419245{col 67}{space 3}  .071992
{txt}c_tfull_b_~l {c |}{col 14}{res}{space 2} .0237715{col 26}{space 2}  .033878{col 37}{space 1}    0.70{col 46}{space 3}0.484{col 54}{space 4}-.0430629{col 67}{space 3}  .090606
{txt}c_tfull_b_~s {c |}{col 14}{res}{space 2} .0295139{col 26}{space 2} .0434455{col 37}{space 1}    0.68{col 46}{space 3}0.498{col 54}{space 4}-.0561953{col 67}{space 3} .1152232
{txt}c_tfull_b_~d {c |}{col 14}{res}{space 2} .1472312{col 26}{space 2} .0420304{col 37}{space 1}    3.50{col 46}{space 3}0.001{col 54}{space 4} .0643136{col 67}{space 3} .2301488
{txt}c_tfull_ed~r {c |}{col 14}{res}{space 2}-.0114403{col 26}{space 2} .0021229{col 37}{space 1}   -5.39{col 46}{space 3}0.000{col 54}{space 4}-.0156284{col 67}{space 3}-.0072523
{txt}c_tfull_b_~x {c |}{col 14}{res}{space 2}-.0444239{col 26}{space 2} .0098167{col 37}{space 1}   -4.53{col 46}{space 3}0.000{col 54}{space 4}-.0637903{col 67}{space 3}-.0250575
{txt}{space 7}_cons {c |}{col 14}{res}{space 2}-.0199136{col 26}{space 2} .0156365{col 37}{space 1}   -1.27{col 46}{space 3}0.204{col 54}{space 4}-.0507613{col 67}{space 3} .0109341
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull = .055{p_end}

{txt}       F(  1,   186) ={res}    1.61
{txt}{col 13}Prob > F ={res}    0.2058

{p 0 7}{space 1}{text:( 1)}{space 1} treatfull = -.055{p_end}

{txt}       F(  1,   186) ={res}   14.21
{txt}{col 13}Prob > F ={res}    0.0002
{txt}note: b_urate_z_d omitted because of collinearity
{res}
{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}     7,288
{txt}{col 49}F({res}   8{txt},{res}    186{txt}){col 67}= {res}    101.14
{txt}{col 49}Prob > F{col 67}= {res}    0.0000
{txt}{col 49}R-squared{col 67}= {res}    0.2301
{txt}{col 49}Adj R-squared{col 67}= {res}    0.2277
{txt}{col 49}Root MSE{col 67}= {res}    0.6612

{txt}{ralign 78:(Std. Err. adjusted for {res:187} clusters in hc_id)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}   e_urate_z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2} .0272817{col 26}{space 2} .0218303{col 37}{space 1}    1.25{col 46}{space 3}0.213{col 54}{space 4}-.0157851{col 67}{space 3} .0703486
{txt}{space 3}b_urate_z {c |}{col 14}{res}{space 2} .3545533{col 26}{space 2} .0146561{col 37}{space 1}   24.19{col 46}{space 3}0.000{col 54}{space 4} .3256398{col 67}{space 3} .3834667
{txt}{space 1}b_urate_z_d {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 1}c_tfull_hc2 {c |}{col 14}{res}{space 2} .0150338{col 26}{space 2} .0288718{col 37}{space 1}    0.52{col 46}{space 3}0.603{col 54}{space 4}-.0419245{col 67}{space 3}  .071992
{txt}c_tfull_b_~l {c |}{col 14}{res}{space 2} .0237715{col 26}{space 2}  .033878{col 37}{space 1}    0.70{col 46}{space 3}0.484{col 54}{space 4}-.0430629{col 67}{space 3}  .090606
{txt}c_tfull_b_~s {c |}{col 14}{res}{space 2} .0295139{col 26}{space 2} .0434455{col 37}{space 1}    0.68{col 46}{space 3}0.498{col 54}{space 4}-.0561953{col 67}{space 3} .1152232
{txt}c_tfull_b_~d {c |}{col 14}{res}{space 2} .1472312{col 26}{space 2} .0420304{col 37}{space 1}    3.50{col 46}{space 3}0.001{col 54}{space 4} .0643136{col 67}{space 3} .2301488
{txt}c_tfull_ed~r {c |}{col 14}{res}{space 2}-.0114403{col 26}{space 2} .0021229{col 37}{space 1}   -5.39{col 46}{space 3}0.000{col 54}{space 4}-.0156284{col 67}{space 3}-.0072523
{txt}c_tfull_b_~x {c |}{col 14}{res}{space 2}-.0444239{col 26}{space 2} .0098167{col 37}{space 1}   -4.53{col 46}{space 3}0.000{col 54}{space 4}-.0637903{col 67}{space 3}-.0250575
{txt}{space 7}_cons {c |}{col 14}{res}{space 2}-.0199136{col 26}{space 2} .0156365{col 37}{space 1}   -1.27{col 46}{space 3}0.204{col 54}{space 4}-.0507613{col 67}{space 3} .0109341
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull = .056{p_end}

{txt}       F(  1,   186) ={res}    1.73
{txt}{col 13}Prob > F ={res}    0.1900

{p 0 7}{space 1}{text:( 1)}{space 1} treatfull = -.056{p_end}

{txt}       F(  1,   186) ={res}   14.55
{txt}{col 13}Prob > F ={res}    0.0002
{txt}note: b_urate_z_d omitted because of collinearity
{res}
{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}     7,288
{txt}{col 49}F({res}   8{txt},{res}    186{txt}){col 67}= {res}    101.14
{txt}{col 49}Prob > F{col 67}= {res}    0.0000
{txt}{col 49}R-squared{col 67}= {res}    0.2301
{txt}{col 49}Adj R-squared{col 67}= {res}    0.2277
{txt}{col 49}Root MSE{col 67}= {res}    0.6612

{txt}{ralign 78:(Std. Err. adjusted for {res:187} clusters in hc_id)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}   e_urate_z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2} .0272817{col 26}{space 2} .0218303{col 37}{space 1}    1.25{col 46}{space 3}0.213{col 54}{space 4}-.0157851{col 67}{space 3} .0703486
{txt}{space 3}b_urate_z {c |}{col 14}{res}{space 2} .3545533{col 26}{space 2} .0146561{col 37}{space 1}   24.19{col 46}{space 3}0.000{col 54}{space 4} .3256398{col 67}{space 3} .3834667
{txt}{space 1}b_urate_z_d {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 1}c_tfull_hc2 {c |}{col 14}{res}{space 2} .0150338{col 26}{space 2} .0288718{col 37}{space 1}    0.52{col 46}{space 3}0.603{col 54}{space 4}-.0419245{col 67}{space 3}  .071992
{txt}c_tfull_b_~l {c |}{col 14}{res}{space 2} .0237715{col 26}{space 2}  .033878{col 37}{space 1}    0.70{col 46}{space 3}0.484{col 54}{space 4}-.0430629{col 67}{space 3}  .090606
{txt}c_tfull_b_~s {c |}{col 14}{res}{space 2} .0295139{col 26}{space 2} .0434455{col 37}{space 1}    0.68{col 46}{space 3}0.498{col 54}{space 4}-.0561953{col 67}{space 3} .1152232
{txt}c_tfull_b_~d {c |}{col 14}{res}{space 2} .1472312{col 26}{space 2} .0420304{col 37}{space 1}    3.50{col 46}{space 3}0.001{col 54}{space 4} .0643136{col 67}{space 3} .2301488
{txt}c_tfull_ed~r {c |}{col 14}{res}{space 2}-.0114403{col 26}{space 2} .0021229{col 37}{space 1}   -5.39{col 46}{space 3}0.000{col 54}{space 4}-.0156284{col 67}{space 3}-.0072523
{txt}c_tfull_b_~x {c |}{col 14}{res}{space 2}-.0444239{col 26}{space 2} .0098167{col 37}{space 1}   -4.53{col 46}{space 3}0.000{col 54}{space 4}-.0637903{col 67}{space 3}-.0250575
{txt}{space 7}_cons {c |}{col 14}{res}{space 2}-.0199136{col 26}{space 2} .0156365{col 37}{space 1}   -1.27{col 46}{space 3}0.204{col 54}{space 4}-.0507613{col 67}{space 3} .0109341
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull = .057{p_end}

{txt}       F(  1,   186) ={res}    1.85
{txt}{col 13}Prob > F ={res}    0.1751

{p 0 7}{space 1}{text:( 1)}{space 1} treatfull = -.057{p_end}

{txt}       F(  1,   186) ={res}   14.91
{txt}{col 13}Prob > F ={res}    0.0002
{txt}note: b_urate_z_d omitted because of collinearity
{res}
{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}     7,288
{txt}{col 49}F({res}   8{txt},{res}    186{txt}){col 67}= {res}    101.14
{txt}{col 49}Prob > F{col 67}= {res}    0.0000
{txt}{col 49}R-squared{col 67}= {res}    0.2301
{txt}{col 49}Adj R-squared{col 67}= {res}    0.2277
{txt}{col 49}Root MSE{col 67}= {res}    0.6612

{txt}{ralign 78:(Std. Err. adjusted for {res:187} clusters in hc_id)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}   e_urate_z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2} .0272817{col 26}{space 2} .0218303{col 37}{space 1}    1.25{col 46}{space 3}0.213{col 54}{space 4}-.0157851{col 67}{space 3} .0703486
{txt}{space 3}b_urate_z {c |}{col 14}{res}{space 2} .3545533{col 26}{space 2} .0146561{col 37}{space 1}   24.19{col 46}{space 3}0.000{col 54}{space 4} .3256398{col 67}{space 3} .3834667
{txt}{space 1}b_urate_z_d {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 1}c_tfull_hc2 {c |}{col 14}{res}{space 2} .0150338{col 26}{space 2} .0288718{col 37}{space 1}    0.52{col 46}{space 3}0.603{col 54}{space 4}-.0419245{col 67}{space 3}  .071992
{txt}c_tfull_b_~l {c |}{col 14}{res}{space 2} .0237715{col 26}{space 2}  .033878{col 37}{space 1}    0.70{col 46}{space 3}0.484{col 54}{space 4}-.0430629{col 67}{space 3}  .090606
{txt}c_tfull_b_~s {c |}{col 14}{res}{space 2} .0295139{col 26}{space 2} .0434455{col 37}{space 1}    0.68{col 46}{space 3}0.498{col 54}{space 4}-.0561953{col 67}{space 3} .1152232
{txt}c_tfull_b_~d {c |}{col 14}{res}{space 2} .1472312{col 26}{space 2} .0420304{col 37}{space 1}    3.50{col 46}{space 3}0.001{col 54}{space 4} .0643136{col 67}{space 3} .2301488
{txt}c_tfull_ed~r {c |}{col 14}{res}{space 2}-.0114403{col 26}{space 2} .0021229{col 37}{space 1}   -5.39{col 46}{space 3}0.000{col 54}{space 4}-.0156284{col 67}{space 3}-.0072523
{txt}c_tfull_b_~x {c |}{col 14}{res}{space 2}-.0444239{col 26}{space 2} .0098167{col 37}{space 1}   -4.53{col 46}{space 3}0.000{col 54}{space 4}-.0637903{col 67}{space 3}-.0250575
{txt}{space 7}_cons {c |}{col 14}{res}{space 2}-.0199136{col 26}{space 2} .0156365{col 37}{space 1}   -1.27{col 46}{space 3}0.204{col 54}{space 4}-.0507613{col 67}{space 3} .0109341
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull = .058{p_end}

{txt}       F(  1,   186) ={res}    1.98
{txt}{col 13}Prob > F ={res}    0.1611

{p 0 7}{space 1}{text:( 1)}{space 1} treatfull = -.058{p_end}

{txt}       F(  1,   186) ={res}   15.26
{txt}{col 13}Prob > F ={res}    0.0001
{txt}note: b_urate_z_d omitted because of collinearity
{res}
{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}     7,288
{txt}{col 49}F({res}   8{txt},{res}    186{txt}){col 67}= {res}    101.14
{txt}{col 49}Prob > F{col 67}= {res}    0.0000
{txt}{col 49}R-squared{col 67}= {res}    0.2301
{txt}{col 49}Adj R-squared{col 67}= {res}    0.2277
{txt}{col 49}Root MSE{col 67}= {res}    0.6612

{txt}{ralign 78:(Std. Err. adjusted for {res:187} clusters in hc_id)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}   e_urate_z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2} .0272817{col 26}{space 2} .0218303{col 37}{space 1}    1.25{col 46}{space 3}0.213{col 54}{space 4}-.0157851{col 67}{space 3} .0703486
{txt}{space 3}b_urate_z {c |}{col 14}{res}{space 2} .3545533{col 26}{space 2} .0146561{col 37}{space 1}   24.19{col 46}{space 3}0.000{col 54}{space 4} .3256398{col 67}{space 3} .3834667
{txt}{space 1}b_urate_z_d {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 1}c_tfull_hc2 {c |}{col 14}{res}{space 2} .0150338{col 26}{space 2} .0288718{col 37}{space 1}    0.52{col 46}{space 3}0.603{col 54}{space 4}-.0419245{col 67}{space 3}  .071992
{txt}c_tfull_b_~l {c |}{col 14}{res}{space 2} .0237715{col 26}{space 2}  .033878{col 37}{space 1}    0.70{col 46}{space 3}0.484{col 54}{space 4}-.0430629{col 67}{space 3}  .090606
{txt}c_tfull_b_~s {c |}{col 14}{res}{space 2} .0295139{col 26}{space 2} .0434455{col 37}{space 1}    0.68{col 46}{space 3}0.498{col 54}{space 4}-.0561953{col 67}{space 3} .1152232
{txt}c_tfull_b_~d {c |}{col 14}{res}{space 2} .1472312{col 26}{space 2} .0420304{col 37}{space 1}    3.50{col 46}{space 3}0.001{col 54}{space 4} .0643136{col 67}{space 3} .2301488
{txt}c_tfull_ed~r {c |}{col 14}{res}{space 2}-.0114403{col 26}{space 2} .0021229{col 37}{space 1}   -5.39{col 46}{space 3}0.000{col 54}{space 4}-.0156284{col 67}{space 3}-.0072523
{txt}c_tfull_b_~x {c |}{col 14}{res}{space 2}-.0444239{col 26}{space 2} .0098167{col 37}{space 1}   -4.53{col 46}{space 3}0.000{col 54}{space 4}-.0637903{col 67}{space 3}-.0250575
{txt}{space 7}_cons {c |}{col 14}{res}{space 2}-.0199136{col 26}{space 2} .0156365{col 37}{space 1}   -1.27{col 46}{space 3}0.204{col 54}{space 4}-.0507613{col 67}{space 3} .0109341
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull = .059{p_end}

{txt}       F(  1,   186) ={res}    2.11
{txt}{col 13}Prob > F ={res}    0.1479

{p 0 7}{space 1}{text:( 1)}{space 1} treatfull = -.059{p_end}

{txt}       F(  1,   186) ={res}   15.62
{txt}{col 13}Prob > F ={res}    0.0001
{txt}note: b_urate_z_d omitted because of collinearity
{res}
{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}     7,288
{txt}{col 49}F({res}   8{txt},{res}    186{txt}){col 67}= {res}    101.14
{txt}{col 49}Prob > F{col 67}= {res}    0.0000
{txt}{col 49}R-squared{col 67}= {res}    0.2301
{txt}{col 49}Adj R-squared{col 67}= {res}    0.2277
{txt}{col 49}Root MSE{col 67}= {res}    0.6612

{txt}{ralign 78:(Std. Err. adjusted for {res:187} clusters in hc_id)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}   e_urate_z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2} .0272817{col 26}{space 2} .0218303{col 37}{space 1}    1.25{col 46}{space 3}0.213{col 54}{space 4}-.0157851{col 67}{space 3} .0703486
{txt}{space 3}b_urate_z {c |}{col 14}{res}{space 2} .3545533{col 26}{space 2} .0146561{col 37}{space 1}   24.19{col 46}{space 3}0.000{col 54}{space 4} .3256398{col 67}{space 3} .3834667
{txt}{space 1}b_urate_z_d {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 1}c_tfull_hc2 {c |}{col 14}{res}{space 2} .0150338{col 26}{space 2} .0288718{col 37}{space 1}    0.52{col 46}{space 3}0.603{col 54}{space 4}-.0419245{col 67}{space 3}  .071992
{txt}c_tfull_b_~l {c |}{col 14}{res}{space 2} .0237715{col 26}{space 2}  .033878{col 37}{space 1}    0.70{col 46}{space 3}0.484{col 54}{space 4}-.0430629{col 67}{space 3}  .090606
{txt}c_tfull_b_~s {c |}{col 14}{res}{space 2} .0295139{col 26}{space 2} .0434455{col 37}{space 1}    0.68{col 46}{space 3}0.498{col 54}{space 4}-.0561953{col 67}{space 3} .1152232
{txt}c_tfull_b_~d {c |}{col 14}{res}{space 2} .1472312{col 26}{space 2} .0420304{col 37}{space 1}    3.50{col 46}{space 3}0.001{col 54}{space 4} .0643136{col 67}{space 3} .2301488
{txt}c_tfull_ed~r {c |}{col 14}{res}{space 2}-.0114403{col 26}{space 2} .0021229{col 37}{space 1}   -5.39{col 46}{space 3}0.000{col 54}{space 4}-.0156284{col 67}{space 3}-.0072523
{txt}c_tfull_b_~x {c |}{col 14}{res}{space 2}-.0444239{col 26}{space 2} .0098167{col 37}{space 1}   -4.53{col 46}{space 3}0.000{col 54}{space 4}-.0637903{col 67}{space 3}-.0250575
{txt}{space 7}_cons {c |}{col 14}{res}{space 2}-.0199136{col 26}{space 2} .0156365{col 37}{space 1}   -1.27{col 46}{space 3}0.204{col 54}{space 4}-.0507613{col 67}{space 3} .0109341
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull = .06{p_end}

{txt}       F(  1,   186) ={res}    2.25
{txt}{col 13}Prob > F ={res}    0.1356

{p 0 7}{space 1}{text:( 1)}{space 1} treatfull = -.06{p_end}

{txt}       F(  1,   186) ={res}   15.99
{txt}{col 13}Prob > F ={res}    0.0001
{txt}note: b_urate_z_d omitted because of collinearity
{res}
{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}     7,288
{txt}{col 49}F({res}   8{txt},{res}    186{txt}){col 67}= {res}    101.14
{txt}{col 49}Prob > F{col 67}= {res}    0.0000
{txt}{col 49}R-squared{col 67}= {res}    0.2301
{txt}{col 49}Adj R-squared{col 67}= {res}    0.2277
{txt}{col 49}Root MSE{col 67}= {res}    0.6612

{txt}{ralign 78:(Std. Err. adjusted for {res:187} clusters in hc_id)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}   e_urate_z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2} .0272817{col 26}{space 2} .0218303{col 37}{space 1}    1.25{col 46}{space 3}0.213{col 54}{space 4}-.0157851{col 67}{space 3} .0703486
{txt}{space 3}b_urate_z {c |}{col 14}{res}{space 2} .3545533{col 26}{space 2} .0146561{col 37}{space 1}   24.19{col 46}{space 3}0.000{col 54}{space 4} .3256398{col 67}{space 3} .3834667
{txt}{space 1}b_urate_z_d {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 1}c_tfull_hc2 {c |}{col 14}{res}{space 2} .0150338{col 26}{space 2} .0288718{col 37}{space 1}    0.52{col 46}{space 3}0.603{col 54}{space 4}-.0419245{col 67}{space 3}  .071992
{txt}c_tfull_b_~l {c |}{col 14}{res}{space 2} .0237715{col 26}{space 2}  .033878{col 37}{space 1}    0.70{col 46}{space 3}0.484{col 54}{space 4}-.0430629{col 67}{space 3}  .090606
{txt}c_tfull_b_~s {c |}{col 14}{res}{space 2} .0295139{col 26}{space 2} .0434455{col 37}{space 1}    0.68{col 46}{space 3}0.498{col 54}{space 4}-.0561953{col 67}{space 3} .1152232
{txt}c_tfull_b_~d {c |}{col 14}{res}{space 2} .1472312{col 26}{space 2} .0420304{col 37}{space 1}    3.50{col 46}{space 3}0.001{col 54}{space 4} .0643136{col 67}{space 3} .2301488
{txt}c_tfull_ed~r {c |}{col 14}{res}{space 2}-.0114403{col 26}{space 2} .0021229{col 37}{space 1}   -5.39{col 46}{space 3}0.000{col 54}{space 4}-.0156284{col 67}{space 3}-.0072523
{txt}c_tfull_b_~x {c |}{col 14}{res}{space 2}-.0444239{col 26}{space 2} .0098167{col 37}{space 1}   -4.53{col 46}{space 3}0.000{col 54}{space 4}-.0637903{col 67}{space 3}-.0250575
{txt}{space 7}_cons {c |}{col 14}{res}{space 2}-.0199136{col 26}{space 2} .0156365{col 37}{space 1}   -1.27{col 46}{space 3}0.204{col 54}{space 4}-.0507613{col 67}{space 3} .0109341
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull = .061{p_end}

{txt}       F(  1,   186) ={res}    2.39
{txt}{col 13}Prob > F ={res}    0.1242

{p 0 7}{space 1}{text:( 1)}{space 1} treatfull = -.061{p_end}

{txt}       F(  1,   186) ={res}   16.35
{txt}{col 13}Prob > F ={res}    0.0001
{txt}note: b_urate_z_d omitted because of collinearity
{res}
{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}     7,288
{txt}{col 49}F({res}   8{txt},{res}    186{txt}){col 67}= {res}    101.14
{txt}{col 49}Prob > F{col 67}= {res}    0.0000
{txt}{col 49}R-squared{col 67}= {res}    0.2301
{txt}{col 49}Adj R-squared{col 67}= {res}    0.2277
{txt}{col 49}Root MSE{col 67}= {res}    0.6612

{txt}{ralign 78:(Std. Err. adjusted for {res:187} clusters in hc_id)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}   e_urate_z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2} .0272817{col 26}{space 2} .0218303{col 37}{space 1}    1.25{col 46}{space 3}0.213{col 54}{space 4}-.0157851{col 67}{space 3} .0703486
{txt}{space 3}b_urate_z {c |}{col 14}{res}{space 2} .3545533{col 26}{space 2} .0146561{col 37}{space 1}   24.19{col 46}{space 3}0.000{col 54}{space 4} .3256398{col 67}{space 3} .3834667
{txt}{space 1}b_urate_z_d {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 1}c_tfull_hc2 {c |}{col 14}{res}{space 2} .0150338{col 26}{space 2} .0288718{col 37}{space 1}    0.52{col 46}{space 3}0.603{col 54}{space 4}-.0419245{col 67}{space 3}  .071992
{txt}c_tfull_b_~l {c |}{col 14}{res}{space 2} .0237715{col 26}{space 2}  .033878{col 37}{space 1}    0.70{col 46}{space 3}0.484{col 54}{space 4}-.0430629{col 67}{space 3}  .090606
{txt}c_tfull_b_~s {c |}{col 14}{res}{space 2} .0295139{col 26}{space 2} .0434455{col 37}{space 1}    0.68{col 46}{space 3}0.498{col 54}{space 4}-.0561953{col 67}{space 3} .1152232
{txt}c_tfull_b_~d {c |}{col 14}{res}{space 2} .1472312{col 26}{space 2} .0420304{col 37}{space 1}    3.50{col 46}{space 3}0.001{col 54}{space 4} .0643136{col 67}{space 3} .2301488
{txt}c_tfull_ed~r {c |}{col 14}{res}{space 2}-.0114403{col 26}{space 2} .0021229{col 37}{space 1}   -5.39{col 46}{space 3}0.000{col 54}{space 4}-.0156284{col 67}{space 3}-.0072523
{txt}c_tfull_b_~x {c |}{col 14}{res}{space 2}-.0444239{col 26}{space 2} .0098167{col 37}{space 1}   -4.53{col 46}{space 3}0.000{col 54}{space 4}-.0637903{col 67}{space 3}-.0250575
{txt}{space 7}_cons {c |}{col 14}{res}{space 2}-.0199136{col 26}{space 2} .0156365{col 37}{space 1}   -1.27{col 46}{space 3}0.204{col 54}{space 4}-.0507613{col 67}{space 3} .0109341
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull = .062{p_end}

{txt}       F(  1,   186) ={res}    2.53
{txt}{col 13}Prob > F ={res}    0.1134

{p 0 7}{space 1}{text:( 1)}{space 1} treatfull = -.062{p_end}

{txt}       F(  1,   186) ={res}   16.73
{txt}{col 13}Prob > F ={res}    0.0001
{txt}note: b_urate_z_d omitted because of collinearity
{res}
{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}     7,288
{txt}{col 49}F({res}   8{txt},{res}    186{txt}){col 67}= {res}    101.14
{txt}{col 49}Prob > F{col 67}= {res}    0.0000
{txt}{col 49}R-squared{col 67}= {res}    0.2301
{txt}{col 49}Adj R-squared{col 67}= {res}    0.2277
{txt}{col 49}Root MSE{col 67}= {res}    0.6612

{txt}{ralign 78:(Std. Err. adjusted for {res:187} clusters in hc_id)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}   e_urate_z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2} .0272817{col 26}{space 2} .0218303{col 37}{space 1}    1.25{col 46}{space 3}0.213{col 54}{space 4}-.0157851{col 67}{space 3} .0703486
{txt}{space 3}b_urate_z {c |}{col 14}{res}{space 2} .3545533{col 26}{space 2} .0146561{col 37}{space 1}   24.19{col 46}{space 3}0.000{col 54}{space 4} .3256398{col 67}{space 3} .3834667
{txt}{space 1}b_urate_z_d {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 1}c_tfull_hc2 {c |}{col 14}{res}{space 2} .0150338{col 26}{space 2} .0288718{col 37}{space 1}    0.52{col 46}{space 3}0.603{col 54}{space 4}-.0419245{col 67}{space 3}  .071992
{txt}c_tfull_b_~l {c |}{col 14}{res}{space 2} .0237715{col 26}{space 2}  .033878{col 37}{space 1}    0.70{col 46}{space 3}0.484{col 54}{space 4}-.0430629{col 67}{space 3}  .090606
{txt}c_tfull_b_~s {c |}{col 14}{res}{space 2} .0295139{col 26}{space 2} .0434455{col 37}{space 1}    0.68{col 46}{space 3}0.498{col 54}{space 4}-.0561953{col 67}{space 3} .1152232
{txt}c_tfull_b_~d {c |}{col 14}{res}{space 2} .1472312{col 26}{space 2} .0420304{col 37}{space 1}    3.50{col 46}{space 3}0.001{col 54}{space 4} .0643136{col 67}{space 3} .2301488
{txt}c_tfull_ed~r {c |}{col 14}{res}{space 2}-.0114403{col 26}{space 2} .0021229{col 37}{space 1}   -5.39{col 46}{space 3}0.000{col 54}{space 4}-.0156284{col 67}{space 3}-.0072523
{txt}c_tfull_b_~x {c |}{col 14}{res}{space 2}-.0444239{col 26}{space 2} .0098167{col 37}{space 1}   -4.53{col 46}{space 3}0.000{col 54}{space 4}-.0637903{col 67}{space 3}-.0250575
{txt}{space 7}_cons {c |}{col 14}{res}{space 2}-.0199136{col 26}{space 2} .0156365{col 37}{space 1}   -1.27{col 46}{space 3}0.204{col 54}{space 4}-.0507613{col 67}{space 3} .0109341
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull = .063{p_end}

{txt}       F(  1,   186) ={res}    2.68
{txt}{col 13}Prob > F ={res}    0.1035

{p 0 7}{space 1}{text:( 1)}{space 1} treatfull = -.063{p_end}

{txt}       F(  1,   186) ={res}   17.10
{txt}{col 13}Prob > F ={res}    0.0001
{txt}note: b_urate_z_d omitted because of collinearity
{res}
{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}     7,288
{txt}{col 49}F({res}   8{txt},{res}    186{txt}){col 67}= {res}    101.14
{txt}{col 49}Prob > F{col 67}= {res}    0.0000
{txt}{col 49}R-squared{col 67}= {res}    0.2301
{txt}{col 49}Adj R-squared{col 67}= {res}    0.2277
{txt}{col 49}Root MSE{col 67}= {res}    0.6612

{txt}{ralign 78:(Std. Err. adjusted for {res:187} clusters in hc_id)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}   e_urate_z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2} .0272817{col 26}{space 2} .0218303{col 37}{space 1}    1.25{col 46}{space 3}0.213{col 54}{space 4}-.0157851{col 67}{space 3} .0703486
{txt}{space 3}b_urate_z {c |}{col 14}{res}{space 2} .3545533{col 26}{space 2} .0146561{col 37}{space 1}   24.19{col 46}{space 3}0.000{col 54}{space 4} .3256398{col 67}{space 3} .3834667
{txt}{space 1}b_urate_z_d {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 1}c_tfull_hc2 {c |}{col 14}{res}{space 2} .0150338{col 26}{space 2} .0288718{col 37}{space 1}    0.52{col 46}{space 3}0.603{col 54}{space 4}-.0419245{col 67}{space 3}  .071992
{txt}c_tfull_b_~l {c |}{col 14}{res}{space 2} .0237715{col 26}{space 2}  .033878{col 37}{space 1}    0.70{col 46}{space 3}0.484{col 54}{space 4}-.0430629{col 67}{space 3}  .090606
{txt}c_tfull_b_~s {c |}{col 14}{res}{space 2} .0295139{col 26}{space 2} .0434455{col 37}{space 1}    0.68{col 46}{space 3}0.498{col 54}{space 4}-.0561953{col 67}{space 3} .1152232
{txt}c_tfull_b_~d {c |}{col 14}{res}{space 2} .1472312{col 26}{space 2} .0420304{col 37}{space 1}    3.50{col 46}{space 3}0.001{col 54}{space 4} .0643136{col 67}{space 3} .2301488
{txt}c_tfull_ed~r {c |}{col 14}{res}{space 2}-.0114403{col 26}{space 2} .0021229{col 37}{space 1}   -5.39{col 46}{space 3}0.000{col 54}{space 4}-.0156284{col 67}{space 3}-.0072523
{txt}c_tfull_b_~x {c |}{col 14}{res}{space 2}-.0444239{col 26}{space 2} .0098167{col 37}{space 1}   -4.53{col 46}{space 3}0.000{col 54}{space 4}-.0637903{col 67}{space 3}-.0250575
{txt}{space 7}_cons {c |}{col 14}{res}{space 2}-.0199136{col 26}{space 2} .0156365{col 37}{space 1}   -1.27{col 46}{space 3}0.204{col 54}{space 4}-.0507613{col 67}{space 3} .0109341
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull = .064{p_end}

{txt}       F(  1,   186) ={res}    2.83
{txt}{col 13}Prob > F ={res}    0.0942

{p 0 7}{space 1}{text:( 1)}{space 1} treatfull = -.064{p_end}

{txt}       F(  1,   186) ={res}   17.48
{txt}{col 13}Prob > F ={res}    0.0000
{txt}note: b_urate_z_d omitted because of collinearity
{res}
{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}     7,288
{txt}{col 49}F({res}   8{txt},{res}    186{txt}){col 67}= {res}    101.14
{txt}{col 49}Prob > F{col 67}= {res}    0.0000
{txt}{col 49}R-squared{col 67}= {res}    0.2301
{txt}{col 49}Adj R-squared{col 67}= {res}    0.2277
{txt}{col 49}Root MSE{col 67}= {res}    0.6612

{txt}{ralign 78:(Std. Err. adjusted for {res:187} clusters in hc_id)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}   e_urate_z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2} .0272817{col 26}{space 2} .0218303{col 37}{space 1}    1.25{col 46}{space 3}0.213{col 54}{space 4}-.0157851{col 67}{space 3} .0703486
{txt}{space 3}b_urate_z {c |}{col 14}{res}{space 2} .3545533{col 26}{space 2} .0146561{col 37}{space 1}   24.19{col 46}{space 3}0.000{col 54}{space 4} .3256398{col 67}{space 3} .3834667
{txt}{space 1}b_urate_z_d {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 1}c_tfull_hc2 {c |}{col 14}{res}{space 2} .0150338{col 26}{space 2} .0288718{col 37}{space 1}    0.52{col 46}{space 3}0.603{col 54}{space 4}-.0419245{col 67}{space 3}  .071992
{txt}c_tfull_b_~l {c |}{col 14}{res}{space 2} .0237715{col 26}{space 2}  .033878{col 37}{space 1}    0.70{col 46}{space 3}0.484{col 54}{space 4}-.0430629{col 67}{space 3}  .090606
{txt}c_tfull_b_~s {c |}{col 14}{res}{space 2} .0295139{col 26}{space 2} .0434455{col 37}{space 1}    0.68{col 46}{space 3}0.498{col 54}{space 4}-.0561953{col 67}{space 3} .1152232
{txt}c_tfull_b_~d {c |}{col 14}{res}{space 2} .1472312{col 26}{space 2} .0420304{col 37}{space 1}    3.50{col 46}{space 3}0.001{col 54}{space 4} .0643136{col 67}{space 3} .2301488
{txt}c_tfull_ed~r {c |}{col 14}{res}{space 2}-.0114403{col 26}{space 2} .0021229{col 37}{space 1}   -5.39{col 46}{space 3}0.000{col 54}{space 4}-.0156284{col 67}{space 3}-.0072523
{txt}c_tfull_b_~x {c |}{col 14}{res}{space 2}-.0444239{col 26}{space 2} .0098167{col 37}{space 1}   -4.53{col 46}{space 3}0.000{col 54}{space 4}-.0637903{col 67}{space 3}-.0250575
{txt}{space 7}_cons {c |}{col 14}{res}{space 2}-.0199136{col 26}{space 2} .0156365{col 37}{space 1}   -1.27{col 46}{space 3}0.204{col 54}{space 4}-.0507613{col 67}{space 3} .0109341
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull = .065{p_end}

{txt}       F(  1,   186) ={res}    2.99
{txt}{col 13}Prob > F ={res}    0.0857

{p 0 7}{space 1}{text:( 1)}{space 1} treatfull = -.065{p_end}

{txt}       F(  1,   186) ={res}   17.87
{txt}{col 13}Prob > F ={res}    0.0000
{txt}note: b_urate_z_d omitted because of collinearity
{res}
{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}     7,288
{txt}{col 49}F({res}   8{txt},{res}    186{txt}){col 67}= {res}    101.14
{txt}{col 49}Prob > F{col 67}= {res}    0.0000
{txt}{col 49}R-squared{col 67}= {res}    0.2301
{txt}{col 49}Adj R-squared{col 67}= {res}    0.2277
{txt}{col 49}Root MSE{col 67}= {res}    0.6612

{txt}{ralign 78:(Std. Err. adjusted for {res:187} clusters in hc_id)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}   e_urate_z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2} .0272817{col 26}{space 2} .0218303{col 37}{space 1}    1.25{col 46}{space 3}0.213{col 54}{space 4}-.0157851{col 67}{space 3} .0703486
{txt}{space 3}b_urate_z {c |}{col 14}{res}{space 2} .3545533{col 26}{space 2} .0146561{col 37}{space 1}   24.19{col 46}{space 3}0.000{col 54}{space 4} .3256398{col 67}{space 3} .3834667
{txt}{space 1}b_urate_z_d {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 1}c_tfull_hc2 {c |}{col 14}{res}{space 2} .0150338{col 26}{space 2} .0288718{col 37}{space 1}    0.52{col 46}{space 3}0.603{col 54}{space 4}-.0419245{col 67}{space 3}  .071992
{txt}c_tfull_b_~l {c |}{col 14}{res}{space 2} .0237715{col 26}{space 2}  .033878{col 37}{space 1}    0.70{col 46}{space 3}0.484{col 54}{space 4}-.0430629{col 67}{space 3}  .090606
{txt}c_tfull_b_~s {c |}{col 14}{res}{space 2} .0295139{col 26}{space 2} .0434455{col 37}{space 1}    0.68{col 46}{space 3}0.498{col 54}{space 4}-.0561953{col 67}{space 3} .1152232
{txt}c_tfull_b_~d {c |}{col 14}{res}{space 2} .1472312{col 26}{space 2} .0420304{col 37}{space 1}    3.50{col 46}{space 3}0.001{col 54}{space 4} .0643136{col 67}{space 3} .2301488
{txt}c_tfull_ed~r {c |}{col 14}{res}{space 2}-.0114403{col 26}{space 2} .0021229{col 37}{space 1}   -5.39{col 46}{space 3}0.000{col 54}{space 4}-.0156284{col 67}{space 3}-.0072523
{txt}c_tfull_b_~x {c |}{col 14}{res}{space 2}-.0444239{col 26}{space 2} .0098167{col 37}{space 1}   -4.53{col 46}{space 3}0.000{col 54}{space 4}-.0637903{col 67}{space 3}-.0250575
{txt}{space 7}_cons {c |}{col 14}{res}{space 2}-.0199136{col 26}{space 2} .0156365{col 37}{space 1}   -1.27{col 46}{space 3}0.204{col 54}{space 4}-.0507613{col 67}{space 3} .0109341
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull = .066{p_end}

{txt}       F(  1,   186) ={res}    3.15
{txt}{col 13}Prob > F ={res}    0.0778

{p 0 7}{space 1}{text:( 1)}{space 1} treatfull = -.066{p_end}

{txt}       F(  1,   186) ={res}   18.26
{txt}{col 13}Prob > F ={res}    0.0000
{txt}note: b_urate_z_d omitted because of collinearity
{res}
{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}     7,288
{txt}{col 49}F({res}   8{txt},{res}    186{txt}){col 67}= {res}    101.14
{txt}{col 49}Prob > F{col 67}= {res}    0.0000
{txt}{col 49}R-squared{col 67}= {res}    0.2301
{txt}{col 49}Adj R-squared{col 67}= {res}    0.2277
{txt}{col 49}Root MSE{col 67}= {res}    0.6612

{txt}{ralign 78:(Std. Err. adjusted for {res:187} clusters in hc_id)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}   e_urate_z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2} .0272817{col 26}{space 2} .0218303{col 37}{space 1}    1.25{col 46}{space 3}0.213{col 54}{space 4}-.0157851{col 67}{space 3} .0703486
{txt}{space 3}b_urate_z {c |}{col 14}{res}{space 2} .3545533{col 26}{space 2} .0146561{col 37}{space 1}   24.19{col 46}{space 3}0.000{col 54}{space 4} .3256398{col 67}{space 3} .3834667
{txt}{space 1}b_urate_z_d {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 1}c_tfull_hc2 {c |}{col 14}{res}{space 2} .0150338{col 26}{space 2} .0288718{col 37}{space 1}    0.52{col 46}{space 3}0.603{col 54}{space 4}-.0419245{col 67}{space 3}  .071992
{txt}c_tfull_b_~l {c |}{col 14}{res}{space 2} .0237715{col 26}{space 2}  .033878{col 37}{space 1}    0.70{col 46}{space 3}0.484{col 54}{space 4}-.0430629{col 67}{space 3}  .090606
{txt}c_tfull_b_~s {c |}{col 14}{res}{space 2} .0295139{col 26}{space 2} .0434455{col 37}{space 1}    0.68{col 46}{space 3}0.498{col 54}{space 4}-.0561953{col 67}{space 3} .1152232
{txt}c_tfull_b_~d {c |}{col 14}{res}{space 2} .1472312{col 26}{space 2} .0420304{col 37}{space 1}    3.50{col 46}{space 3}0.001{col 54}{space 4} .0643136{col 67}{space 3} .2301488
{txt}c_tfull_ed~r {c |}{col 14}{res}{space 2}-.0114403{col 26}{space 2} .0021229{col 37}{space 1}   -5.39{col 46}{space 3}0.000{col 54}{space 4}-.0156284{col 67}{space 3}-.0072523
{txt}c_tfull_b_~x {c |}{col 14}{res}{space 2}-.0444239{col 26}{space 2} .0098167{col 37}{space 1}   -4.53{col 46}{space 3}0.000{col 54}{space 4}-.0637903{col 67}{space 3}-.0250575
{txt}{space 7}_cons {c |}{col 14}{res}{space 2}-.0199136{col 26}{space 2} .0156365{col 37}{space 1}   -1.27{col 46}{space 3}0.204{col 54}{space 4}-.0507613{col 67}{space 3} .0109341
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull = .067{p_end}

{txt}       F(  1,   186) ={res}    3.31
{txt}{col 13}Prob > F ={res}    0.0705

{p 0 7}{space 1}{text:( 1)}{space 1} treatfull = -.067{p_end}

{txt}       F(  1,   186) ={res}   18.65
{txt}{col 13}Prob > F ={res}    0.0000
{txt}note: b_urate_z_d omitted because of collinearity
{res}
{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}     7,288
{txt}{col 49}F({res}   8{txt},{res}    186{txt}){col 67}= {res}    101.14
{txt}{col 49}Prob > F{col 67}= {res}    0.0000
{txt}{col 49}R-squared{col 67}= {res}    0.2301
{txt}{col 49}Adj R-squared{col 67}= {res}    0.2277
{txt}{col 49}Root MSE{col 67}= {res}    0.6612

{txt}{ralign 78:(Std. Err. adjusted for {res:187} clusters in hc_id)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}   e_urate_z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2} .0272817{col 26}{space 2} .0218303{col 37}{space 1}    1.25{col 46}{space 3}0.213{col 54}{space 4}-.0157851{col 67}{space 3} .0703486
{txt}{space 3}b_urate_z {c |}{col 14}{res}{space 2} .3545533{col 26}{space 2} .0146561{col 37}{space 1}   24.19{col 46}{space 3}0.000{col 54}{space 4} .3256398{col 67}{space 3} .3834667
{txt}{space 1}b_urate_z_d {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 1}c_tfull_hc2 {c |}{col 14}{res}{space 2} .0150338{col 26}{space 2} .0288718{col 37}{space 1}    0.52{col 46}{space 3}0.603{col 54}{space 4}-.0419245{col 67}{space 3}  .071992
{txt}c_tfull_b_~l {c |}{col 14}{res}{space 2} .0237715{col 26}{space 2}  .033878{col 37}{space 1}    0.70{col 46}{space 3}0.484{col 54}{space 4}-.0430629{col 67}{space 3}  .090606
{txt}c_tfull_b_~s {c |}{col 14}{res}{space 2} .0295139{col 26}{space 2} .0434455{col 37}{space 1}    0.68{col 46}{space 3}0.498{col 54}{space 4}-.0561953{col 67}{space 3} .1152232
{txt}c_tfull_b_~d {c |}{col 14}{res}{space 2} .1472312{col 26}{space 2} .0420304{col 37}{space 1}    3.50{col 46}{space 3}0.001{col 54}{space 4} .0643136{col 67}{space 3} .2301488
{txt}c_tfull_ed~r {c |}{col 14}{res}{space 2}-.0114403{col 26}{space 2} .0021229{col 37}{space 1}   -5.39{col 46}{space 3}0.000{col 54}{space 4}-.0156284{col 67}{space 3}-.0072523
{txt}c_tfull_b_~x {c |}{col 14}{res}{space 2}-.0444239{col 26}{space 2} .0098167{col 37}{space 1}   -4.53{col 46}{space 3}0.000{col 54}{space 4}-.0637903{col 67}{space 3}-.0250575
{txt}{space 7}_cons {c |}{col 14}{res}{space 2}-.0199136{col 26}{space 2} .0156365{col 37}{space 1}   -1.27{col 46}{space 3}0.204{col 54}{space 4}-.0507613{col 67}{space 3} .0109341
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull = .068{p_end}

{txt}       F(  1,   186) ={res}    3.48
{txt}{col 13}Prob > F ={res}    0.0637

{p 0 7}{space 1}{text:( 1)}{space 1} treatfull = -.068{p_end}

{txt}       F(  1,   186) ={res}   19.05
{txt}{col 13}Prob > F ={res}    0.0000
{txt}note: b_urate_z_d omitted because of collinearity
{res}
{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}     7,288
{txt}{col 49}F({res}   8{txt},{res}    186{txt}){col 67}= {res}    101.14
{txt}{col 49}Prob > F{col 67}= {res}    0.0000
{txt}{col 49}R-squared{col 67}= {res}    0.2301
{txt}{col 49}Adj R-squared{col 67}= {res}    0.2277
{txt}{col 49}Root MSE{col 67}= {res}    0.6612

{txt}{ralign 78:(Std. Err. adjusted for {res:187} clusters in hc_id)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}   e_urate_z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2} .0272817{col 26}{space 2} .0218303{col 37}{space 1}    1.25{col 46}{space 3}0.213{col 54}{space 4}-.0157851{col 67}{space 3} .0703486
{txt}{space 3}b_urate_z {c |}{col 14}{res}{space 2} .3545533{col 26}{space 2} .0146561{col 37}{space 1}   24.19{col 46}{space 3}0.000{col 54}{space 4} .3256398{col 67}{space 3} .3834667
{txt}{space 1}b_urate_z_d {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 1}c_tfull_hc2 {c |}{col 14}{res}{space 2} .0150338{col 26}{space 2} .0288718{col 37}{space 1}    0.52{col 46}{space 3}0.603{col 54}{space 4}-.0419245{col 67}{space 3}  .071992
{txt}c_tfull_b_~l {c |}{col 14}{res}{space 2} .0237715{col 26}{space 2}  .033878{col 37}{space 1}    0.70{col 46}{space 3}0.484{col 54}{space 4}-.0430629{col 67}{space 3}  .090606
{txt}c_tfull_b_~s {c |}{col 14}{res}{space 2} .0295139{col 26}{space 2} .0434455{col 37}{space 1}    0.68{col 46}{space 3}0.498{col 54}{space 4}-.0561953{col 67}{space 3} .1152232
{txt}c_tfull_b_~d {c |}{col 14}{res}{space 2} .1472312{col 26}{space 2} .0420304{col 37}{space 1}    3.50{col 46}{space 3}0.001{col 54}{space 4} .0643136{col 67}{space 3} .2301488
{txt}c_tfull_ed~r {c |}{col 14}{res}{space 2}-.0114403{col 26}{space 2} .0021229{col 37}{space 1}   -5.39{col 46}{space 3}0.000{col 54}{space 4}-.0156284{col 67}{space 3}-.0072523
{txt}c_tfull_b_~x {c |}{col 14}{res}{space 2}-.0444239{col 26}{space 2} .0098167{col 37}{space 1}   -4.53{col 46}{space 3}0.000{col 54}{space 4}-.0637903{col 67}{space 3}-.0250575
{txt}{space 7}_cons {c |}{col 14}{res}{space 2}-.0199136{col 26}{space 2} .0156365{col 37}{space 1}   -1.27{col 46}{space 3}0.204{col 54}{space 4}-.0507613{col 67}{space 3} .0109341
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull = .069{p_end}

{txt}       F(  1,   186) ={res}    3.65
{txt}{col 13}Prob > F ={res}    0.0575

{p 0 7}{space 1}{text:( 1)}{space 1} treatfull = -.069{p_end}

{txt}       F(  1,   186) ={res}   19.45
{txt}{col 13}Prob > F ={res}    0.0000
{txt}note: b_urate_z_d omitted because of collinearity
{res}
{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}     7,288
{txt}{col 49}F({res}   8{txt},{res}    186{txt}){col 67}= {res}    101.14
{txt}{col 49}Prob > F{col 67}= {res}    0.0000
{txt}{col 49}R-squared{col 67}= {res}    0.2301
{txt}{col 49}Adj R-squared{col 67}= {res}    0.2277
{txt}{col 49}Root MSE{col 67}= {res}    0.6612

{txt}{ralign 78:(Std. Err. adjusted for {res:187} clusters in hc_id)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}   e_urate_z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2} .0272817{col 26}{space 2} .0218303{col 37}{space 1}    1.25{col 46}{space 3}0.213{col 54}{space 4}-.0157851{col 67}{space 3} .0703486
{txt}{space 3}b_urate_z {c |}{col 14}{res}{space 2} .3545533{col 26}{space 2} .0146561{col 37}{space 1}   24.19{col 46}{space 3}0.000{col 54}{space 4} .3256398{col 67}{space 3} .3834667
{txt}{space 1}b_urate_z_d {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 1}c_tfull_hc2 {c |}{col 14}{res}{space 2} .0150338{col 26}{space 2} .0288718{col 37}{space 1}    0.52{col 46}{space 3}0.603{col 54}{space 4}-.0419245{col 67}{space 3}  .071992
{txt}c_tfull_b_~l {c |}{col 14}{res}{space 2} .0237715{col 26}{space 2}  .033878{col 37}{space 1}    0.70{col 46}{space 3}0.484{col 54}{space 4}-.0430629{col 67}{space 3}  .090606
{txt}c_tfull_b_~s {c |}{col 14}{res}{space 2} .0295139{col 26}{space 2} .0434455{col 37}{space 1}    0.68{col 46}{space 3}0.498{col 54}{space 4}-.0561953{col 67}{space 3} .1152232
{txt}c_tfull_b_~d {c |}{col 14}{res}{space 2} .1472312{col 26}{space 2} .0420304{col 37}{space 1}    3.50{col 46}{space 3}0.001{col 54}{space 4} .0643136{col 67}{space 3} .2301488
{txt}c_tfull_ed~r {c |}{col 14}{res}{space 2}-.0114403{col 26}{space 2} .0021229{col 37}{space 1}   -5.39{col 46}{space 3}0.000{col 54}{space 4}-.0156284{col 67}{space 3}-.0072523
{txt}c_tfull_b_~x {c |}{col 14}{res}{space 2}-.0444239{col 26}{space 2} .0098167{col 37}{space 1}   -4.53{col 46}{space 3}0.000{col 54}{space 4}-.0637903{col 67}{space 3}-.0250575
{txt}{space 7}_cons {c |}{col 14}{res}{space 2}-.0199136{col 26}{space 2} .0156365{col 37}{space 1}   -1.27{col 46}{space 3}0.204{col 54}{space 4}-.0507613{col 67}{space 3} .0109341
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull = .07{p_end}

{txt}       F(  1,   186) ={res}    3.83
{txt}{col 13}Prob > F ={res}    0.0519

{p 0 7}{space 1}{text:( 1)}{space 1} treatfull = -.07{p_end}

{txt}       F(  1,   186) ={res}   19.86
{txt}{col 13}Prob > F ={res}    0.0000
{txt}note: b_urate_z_d omitted because of collinearity
{res}
{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}     7,288
{txt}{col 49}F({res}   8{txt},{res}    186{txt}){col 67}= {res}    101.14
{txt}{col 49}Prob > F{col 67}= {res}    0.0000
{txt}{col 49}R-squared{col 67}= {res}    0.2301
{txt}{col 49}Adj R-squared{col 67}= {res}    0.2277
{txt}{col 49}Root MSE{col 67}= {res}    0.6612

{txt}{ralign 78:(Std. Err. adjusted for {res:187} clusters in hc_id)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}   e_urate_z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2} .0272817{col 26}{space 2} .0218303{col 37}{space 1}    1.25{col 46}{space 3}0.213{col 54}{space 4}-.0157851{col 67}{space 3} .0703486
{txt}{space 3}b_urate_z {c |}{col 14}{res}{space 2} .3545533{col 26}{space 2} .0146561{col 37}{space 1}   24.19{col 46}{space 3}0.000{col 54}{space 4} .3256398{col 67}{space 3} .3834667
{txt}{space 1}b_urate_z_d {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 1}c_tfull_hc2 {c |}{col 14}{res}{space 2} .0150338{col 26}{space 2} .0288718{col 37}{space 1}    0.52{col 46}{space 3}0.603{col 54}{space 4}-.0419245{col 67}{space 3}  .071992
{txt}c_tfull_b_~l {c |}{col 14}{res}{space 2} .0237715{col 26}{space 2}  .033878{col 37}{space 1}    0.70{col 46}{space 3}0.484{col 54}{space 4}-.0430629{col 67}{space 3}  .090606
{txt}c_tfull_b_~s {c |}{col 14}{res}{space 2} .0295139{col 26}{space 2} .0434455{col 37}{space 1}    0.68{col 46}{space 3}0.498{col 54}{space 4}-.0561953{col 67}{space 3} .1152232
{txt}c_tfull_b_~d {c |}{col 14}{res}{space 2} .1472312{col 26}{space 2} .0420304{col 37}{space 1}    3.50{col 46}{space 3}0.001{col 54}{space 4} .0643136{col 67}{space 3} .2301488
{txt}c_tfull_ed~r {c |}{col 14}{res}{space 2}-.0114403{col 26}{space 2} .0021229{col 37}{space 1}   -5.39{col 46}{space 3}0.000{col 54}{space 4}-.0156284{col 67}{space 3}-.0072523
{txt}c_tfull_b_~x {c |}{col 14}{res}{space 2}-.0444239{col 26}{space 2} .0098167{col 37}{space 1}   -4.53{col 46}{space 3}0.000{col 54}{space 4}-.0637903{col 67}{space 3}-.0250575
{txt}{space 7}_cons {c |}{col 14}{res}{space 2}-.0199136{col 26}{space 2} .0156365{col 37}{space 1}   -1.27{col 46}{space 3}0.204{col 54}{space 4}-.0507613{col 67}{space 3} .0109341
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull = .071{p_end}

{txt}       F(  1,   186) ={res}    4.01
{txt}{col 13}Prob > F ={res}    0.0467

{p 0 7}{space 1}{text:( 1)}{space 1} treatfull = -.071{p_end}

{txt}       F(  1,   186) ={res}   20.27
{txt}{col 13}Prob > F ={res}    0.0000
{txt}note: b_urate_z_d omitted because of collinearity
{res}
{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}     7,288
{txt}{col 49}F({res}   8{txt},{res}    186{txt}){col 67}= {res}    101.14
{txt}{col 49}Prob > F{col 67}= {res}    0.0000
{txt}{col 49}R-squared{col 67}= {res}    0.2301
{txt}{col 49}Adj R-squared{col 67}= {res}    0.2277
{txt}{col 49}Root MSE{col 67}= {res}    0.6612

{txt}{ralign 78:(Std. Err. adjusted for {res:187} clusters in hc_id)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}   e_urate_z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2} .0272817{col 26}{space 2} .0218303{col 37}{space 1}    1.25{col 46}{space 3}0.213{col 54}{space 4}-.0157851{col 67}{space 3} .0703486
{txt}{space 3}b_urate_z {c |}{col 14}{res}{space 2} .3545533{col 26}{space 2} .0146561{col 37}{space 1}   24.19{col 46}{space 3}0.000{col 54}{space 4} .3256398{col 67}{space 3} .3834667
{txt}{space 1}b_urate_z_d {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 1}c_tfull_hc2 {c |}{col 14}{res}{space 2} .0150338{col 26}{space 2} .0288718{col 37}{space 1}    0.52{col 46}{space 3}0.603{col 54}{space 4}-.0419245{col 67}{space 3}  .071992
{txt}c_tfull_b_~l {c |}{col 14}{res}{space 2} .0237715{col 26}{space 2}  .033878{col 37}{space 1}    0.70{col 46}{space 3}0.484{col 54}{space 4}-.0430629{col 67}{space 3}  .090606
{txt}c_tfull_b_~s {c |}{col 14}{res}{space 2} .0295139{col 26}{space 2} .0434455{col 37}{space 1}    0.68{col 46}{space 3}0.498{col 54}{space 4}-.0561953{col 67}{space 3} .1152232
{txt}c_tfull_b_~d {c |}{col 14}{res}{space 2} .1472312{col 26}{space 2} .0420304{col 37}{space 1}    3.50{col 46}{space 3}0.001{col 54}{space 4} .0643136{col 67}{space 3} .2301488
{txt}c_tfull_ed~r {c |}{col 14}{res}{space 2}-.0114403{col 26}{space 2} .0021229{col 37}{space 1}   -5.39{col 46}{space 3}0.000{col 54}{space 4}-.0156284{col 67}{space 3}-.0072523
{txt}c_tfull_b_~x {c |}{col 14}{res}{space 2}-.0444239{col 26}{space 2} .0098167{col 37}{space 1}   -4.53{col 46}{space 3}0.000{col 54}{space 4}-.0637903{col 67}{space 3}-.0250575
{txt}{space 7}_cons {c |}{col 14}{res}{space 2}-.0199136{col 26}{space 2} .0156365{col 37}{space 1}   -1.27{col 46}{space 3}0.204{col 54}{space 4}-.0507613{col 67}{space 3} .0109341
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull = .072{p_end}

{txt}       F(  1,   186) ={res}    4.20
{txt}{col 13}Prob > F ={res}    0.0419

{p 0 7}{space 1}{text:( 1)}{space 1} treatfull = -.072{p_end}

{txt}       F(  1,   186) ={res}   20.68
{txt}{col 13}Prob > F ={res}    0.0000
{txt}note: b_urate_z_d omitted because of collinearity
{res}
{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}     7,288
{txt}{col 49}F({res}   8{txt},{res}    186{txt}){col 67}= {res}    101.14
{txt}{col 49}Prob > F{col 67}= {res}    0.0000
{txt}{col 49}R-squared{col 67}= {res}    0.2301
{txt}{col 49}Adj R-squared{col 67}= {res}    0.2277
{txt}{col 49}Root MSE{col 67}= {res}    0.6612

{txt}{ralign 78:(Std. Err. adjusted for {res:187} clusters in hc_id)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}   e_urate_z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2} .0272817{col 26}{space 2} .0218303{col 37}{space 1}    1.25{col 46}{space 3}0.213{col 54}{space 4}-.0157851{col 67}{space 3} .0703486
{txt}{space 3}b_urate_z {c |}{col 14}{res}{space 2} .3545533{col 26}{space 2} .0146561{col 37}{space 1}   24.19{col 46}{space 3}0.000{col 54}{space 4} .3256398{col 67}{space 3} .3834667
{txt}{space 1}b_urate_z_d {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 1}c_tfull_hc2 {c |}{col 14}{res}{space 2} .0150338{col 26}{space 2} .0288718{col 37}{space 1}    0.52{col 46}{space 3}0.603{col 54}{space 4}-.0419245{col 67}{space 3}  .071992
{txt}c_tfull_b_~l {c |}{col 14}{res}{space 2} .0237715{col 26}{space 2}  .033878{col 37}{space 1}    0.70{col 46}{space 3}0.484{col 54}{space 4}-.0430629{col 67}{space 3}  .090606
{txt}c_tfull_b_~s {c |}{col 14}{res}{space 2} .0295139{col 26}{space 2} .0434455{col 37}{space 1}    0.68{col 46}{space 3}0.498{col 54}{space 4}-.0561953{col 67}{space 3} .1152232
{txt}c_tfull_b_~d {c |}{col 14}{res}{space 2} .1472312{col 26}{space 2} .0420304{col 37}{space 1}    3.50{col 46}{space 3}0.001{col 54}{space 4} .0643136{col 67}{space 3} .2301488
{txt}c_tfull_ed~r {c |}{col 14}{res}{space 2}-.0114403{col 26}{space 2} .0021229{col 37}{space 1}   -5.39{col 46}{space 3}0.000{col 54}{space 4}-.0156284{col 67}{space 3}-.0072523
{txt}c_tfull_b_~x {c |}{col 14}{res}{space 2}-.0444239{col 26}{space 2} .0098167{col 37}{space 1}   -4.53{col 46}{space 3}0.000{col 54}{space 4}-.0637903{col 67}{space 3}-.0250575
{txt}{space 7}_cons {c |}{col 14}{res}{space 2}-.0199136{col 26}{space 2} .0156365{col 37}{space 1}   -1.27{col 46}{space 3}0.204{col 54}{space 4}-.0507613{col 67}{space 3} .0109341
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull = .073{p_end}

{txt}       F(  1,   186) ={res}    4.39
{txt}{col 13}Prob > F ={res}    0.0376

{p 0 7}{space 1}{text:( 1)}{space 1} treatfull = -.073{p_end}

{txt}       F(  1,   186) ={res}   21.10
{txt}{col 13}Prob > F ={res}    0.0000
{txt}note: b_urate_z_d omitted because of collinearity
{res}
{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}     7,288
{txt}{col 49}F({res}   8{txt},{res}    186{txt}){col 67}= {res}    101.14
{txt}{col 49}Prob > F{col 67}= {res}    0.0000
{txt}{col 49}R-squared{col 67}= {res}    0.2301
{txt}{col 49}Adj R-squared{col 67}= {res}    0.2277
{txt}{col 49}Root MSE{col 67}= {res}    0.6612

{txt}{ralign 78:(Std. Err. adjusted for {res:187} clusters in hc_id)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}   e_urate_z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2} .0272817{col 26}{space 2} .0218303{col 37}{space 1}    1.25{col 46}{space 3}0.213{col 54}{space 4}-.0157851{col 67}{space 3} .0703486
{txt}{space 3}b_urate_z {c |}{col 14}{res}{space 2} .3545533{col 26}{space 2} .0146561{col 37}{space 1}   24.19{col 46}{space 3}0.000{col 54}{space 4} .3256398{col 67}{space 3} .3834667
{txt}{space 1}b_urate_z_d {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 1}c_tfull_hc2 {c |}{col 14}{res}{space 2} .0150338{col 26}{space 2} .0288718{col 37}{space 1}    0.52{col 46}{space 3}0.603{col 54}{space 4}-.0419245{col 67}{space 3}  .071992
{txt}c_tfull_b_~l {c |}{col 14}{res}{space 2} .0237715{col 26}{space 2}  .033878{col 37}{space 1}    0.70{col 46}{space 3}0.484{col 54}{space 4}-.0430629{col 67}{space 3}  .090606
{txt}c_tfull_b_~s {c |}{col 14}{res}{space 2} .0295139{col 26}{space 2} .0434455{col 37}{space 1}    0.68{col 46}{space 3}0.498{col 54}{space 4}-.0561953{col 67}{space 3} .1152232
{txt}c_tfull_b_~d {c |}{col 14}{res}{space 2} .1472312{col 26}{space 2} .0420304{col 37}{space 1}    3.50{col 46}{space 3}0.001{col 54}{space 4} .0643136{col 67}{space 3} .2301488
{txt}c_tfull_ed~r {c |}{col 14}{res}{space 2}-.0114403{col 26}{space 2} .0021229{col 37}{space 1}   -5.39{col 46}{space 3}0.000{col 54}{space 4}-.0156284{col 67}{space 3}-.0072523
{txt}c_tfull_b_~x {c |}{col 14}{res}{space 2}-.0444239{col 26}{space 2} .0098167{col 37}{space 1}   -4.53{col 46}{space 3}0.000{col 54}{space 4}-.0637903{col 67}{space 3}-.0250575
{txt}{space 7}_cons {c |}{col 14}{res}{space 2}-.0199136{col 26}{space 2} .0156365{col 37}{space 1}   -1.27{col 46}{space 3}0.204{col 54}{space 4}-.0507613{col 67}{space 3} .0109341
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull = .074{p_end}

{txt}       F(  1,   186) ={res}    4.58
{txt}{col 13}Prob > F ={res}    0.0337

{p 0 7}{space 1}{text:( 1)}{space 1} treatfull = -.074{p_end}

{txt}       F(  1,   186) ={res}   21.52
{txt}{col 13}Prob > F ={res}    0.0000
{txt}note: b_urate_z_d omitted because of collinearity
{res}
{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}     7,288
{txt}{col 49}F({res}   8{txt},{res}    186{txt}){col 67}= {res}    101.14
{txt}{col 49}Prob > F{col 67}= {res}    0.0000
{txt}{col 49}R-squared{col 67}= {res}    0.2301
{txt}{col 49}Adj R-squared{col 67}= {res}    0.2277
{txt}{col 49}Root MSE{col 67}= {res}    0.6612

{txt}{ralign 78:(Std. Err. adjusted for {res:187} clusters in hc_id)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}   e_urate_z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2} .0272817{col 26}{space 2} .0218303{col 37}{space 1}    1.25{col 46}{space 3}0.213{col 54}{space 4}-.0157851{col 67}{space 3} .0703486
{txt}{space 3}b_urate_z {c |}{col 14}{res}{space 2} .3545533{col 26}{space 2} .0146561{col 37}{space 1}   24.19{col 46}{space 3}0.000{col 54}{space 4} .3256398{col 67}{space 3} .3834667
{txt}{space 1}b_urate_z_d {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 1}c_tfull_hc2 {c |}{col 14}{res}{space 2} .0150338{col 26}{space 2} .0288718{col 37}{space 1}    0.52{col 46}{space 3}0.603{col 54}{space 4}-.0419245{col 67}{space 3}  .071992
{txt}c_tfull_b_~l {c |}{col 14}{res}{space 2} .0237715{col 26}{space 2}  .033878{col 37}{space 1}    0.70{col 46}{space 3}0.484{col 54}{space 4}-.0430629{col 67}{space 3}  .090606
{txt}c_tfull_b_~s {c |}{col 14}{res}{space 2} .0295139{col 26}{space 2} .0434455{col 37}{space 1}    0.68{col 46}{space 3}0.498{col 54}{space 4}-.0561953{col 67}{space 3} .1152232
{txt}c_tfull_b_~d {c |}{col 14}{res}{space 2} .1472312{col 26}{space 2} .0420304{col 37}{space 1}    3.50{col 46}{space 3}0.001{col 54}{space 4} .0643136{col 67}{space 3} .2301488
{txt}c_tfull_ed~r {c |}{col 14}{res}{space 2}-.0114403{col 26}{space 2} .0021229{col 37}{space 1}   -5.39{col 46}{space 3}0.000{col 54}{space 4}-.0156284{col 67}{space 3}-.0072523
{txt}c_tfull_b_~x {c |}{col 14}{res}{space 2}-.0444239{col 26}{space 2} .0098167{col 37}{space 1}   -4.53{col 46}{space 3}0.000{col 54}{space 4}-.0637903{col 67}{space 3}-.0250575
{txt}{space 7}_cons {c |}{col 14}{res}{space 2}-.0199136{col 26}{space 2} .0156365{col 37}{space 1}   -1.27{col 46}{space 3}0.204{col 54}{space 4}-.0507613{col 67}{space 3} .0109341
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull = .075{p_end}

{txt}       F(  1,   186) ={res}    4.78
{txt}{col 13}Prob > F ={res}    0.0301

{p 0 7}{space 1}{text:( 1)}{space 1} treatfull = -.075{p_end}

{txt}       F(  1,   186) ={res}   21.95
{txt}{col 13}Prob > F ={res}    0.0000
{txt}note: b_urate_z_d omitted because of collinearity
{res}
{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}     7,288
{txt}{col 49}F({res}   8{txt},{res}    186{txt}){col 67}= {res}    101.14
{txt}{col 49}Prob > F{col 67}= {res}    0.0000
{txt}{col 49}R-squared{col 67}= {res}    0.2301
{txt}{col 49}Adj R-squared{col 67}= {res}    0.2277
{txt}{col 49}Root MSE{col 67}= {res}    0.6612

{txt}{ralign 78:(Std. Err. adjusted for {res:187} clusters in hc_id)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}   e_urate_z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2} .0272817{col 26}{space 2} .0218303{col 37}{space 1}    1.25{col 46}{space 3}0.213{col 54}{space 4}-.0157851{col 67}{space 3} .0703486
{txt}{space 3}b_urate_z {c |}{col 14}{res}{space 2} .3545533{col 26}{space 2} .0146561{col 37}{space 1}   24.19{col 46}{space 3}0.000{col 54}{space 4} .3256398{col 67}{space 3} .3834667
{txt}{space 1}b_urate_z_d {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 1}c_tfull_hc2 {c |}{col 14}{res}{space 2} .0150338{col 26}{space 2} .0288718{col 37}{space 1}    0.52{col 46}{space 3}0.603{col 54}{space 4}-.0419245{col 67}{space 3}  .071992
{txt}c_tfull_b_~l {c |}{col 14}{res}{space 2} .0237715{col 26}{space 2}  .033878{col 37}{space 1}    0.70{col 46}{space 3}0.484{col 54}{space 4}-.0430629{col 67}{space 3}  .090606
{txt}c_tfull_b_~s {c |}{col 14}{res}{space 2} .0295139{col 26}{space 2} .0434455{col 37}{space 1}    0.68{col 46}{space 3}0.498{col 54}{space 4}-.0561953{col 67}{space 3} .1152232
{txt}c_tfull_b_~d {c |}{col 14}{res}{space 2} .1472312{col 26}{space 2} .0420304{col 37}{space 1}    3.50{col 46}{space 3}0.001{col 54}{space 4} .0643136{col 67}{space 3} .2301488
{txt}c_tfull_ed~r {c |}{col 14}{res}{space 2}-.0114403{col 26}{space 2} .0021229{col 37}{space 1}   -5.39{col 46}{space 3}0.000{col 54}{space 4}-.0156284{col 67}{space 3}-.0072523
{txt}c_tfull_b_~x {c |}{col 14}{res}{space 2}-.0444239{col 26}{space 2} .0098167{col 37}{space 1}   -4.53{col 46}{space 3}0.000{col 54}{space 4}-.0637903{col 67}{space 3}-.0250575
{txt}{space 7}_cons {c |}{col 14}{res}{space 2}-.0199136{col 26}{space 2} .0156365{col 37}{space 1}   -1.27{col 46}{space 3}0.204{col 54}{space 4}-.0507613{col 67}{space 3} .0109341
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull = .076{p_end}

{txt}       F(  1,   186) ={res}    4.98
{txt}{col 13}Prob > F ={res}    0.0268

{p 0 7}{space 1}{text:( 1)}{space 1} treatfull = -.076{p_end}

{txt}       F(  1,   186) ={res}   22.38
{txt}{col 13}Prob > F ={res}    0.0000
{txt}note: b_urate_z_d omitted because of collinearity
{res}
{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}     7,288
{txt}{col 49}F({res}   8{txt},{res}    186{txt}){col 67}= {res}    101.14
{txt}{col 49}Prob > F{col 67}= {res}    0.0000
{txt}{col 49}R-squared{col 67}= {res}    0.2301
{txt}{col 49}Adj R-squared{col 67}= {res}    0.2277
{txt}{col 49}Root MSE{col 67}= {res}    0.6612

{txt}{ralign 78:(Std. Err. adjusted for {res:187} clusters in hc_id)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}   e_urate_z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2} .0272817{col 26}{space 2} .0218303{col 37}{space 1}    1.25{col 46}{space 3}0.213{col 54}{space 4}-.0157851{col 67}{space 3} .0703486
{txt}{space 3}b_urate_z {c |}{col 14}{res}{space 2} .3545533{col 26}{space 2} .0146561{col 37}{space 1}   24.19{col 46}{space 3}0.000{col 54}{space 4} .3256398{col 67}{space 3} .3834667
{txt}{space 1}b_urate_z_d {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 1}c_tfull_hc2 {c |}{col 14}{res}{space 2} .0150338{col 26}{space 2} .0288718{col 37}{space 1}    0.52{col 46}{space 3}0.603{col 54}{space 4}-.0419245{col 67}{space 3}  .071992
{txt}c_tfull_b_~l {c |}{col 14}{res}{space 2} .0237715{col 26}{space 2}  .033878{col 37}{space 1}    0.70{col 46}{space 3}0.484{col 54}{space 4}-.0430629{col 67}{space 3}  .090606
{txt}c_tfull_b_~s {c |}{col 14}{res}{space 2} .0295139{col 26}{space 2} .0434455{col 37}{space 1}    0.68{col 46}{space 3}0.498{col 54}{space 4}-.0561953{col 67}{space 3} .1152232
{txt}c_tfull_b_~d {c |}{col 14}{res}{space 2} .1472312{col 26}{space 2} .0420304{col 37}{space 1}    3.50{col 46}{space 3}0.001{col 54}{space 4} .0643136{col 67}{space 3} .2301488
{txt}c_tfull_ed~r {c |}{col 14}{res}{space 2}-.0114403{col 26}{space 2} .0021229{col 37}{space 1}   -5.39{col 46}{space 3}0.000{col 54}{space 4}-.0156284{col 67}{space 3}-.0072523
{txt}c_tfull_b_~x {c |}{col 14}{res}{space 2}-.0444239{col 26}{space 2} .0098167{col 37}{space 1}   -4.53{col 46}{space 3}0.000{col 54}{space 4}-.0637903{col 67}{space 3}-.0250575
{txt}{space 7}_cons {c |}{col 14}{res}{space 2}-.0199136{col 26}{space 2} .0156365{col 37}{space 1}   -1.27{col 46}{space 3}0.204{col 54}{space 4}-.0507613{col 67}{space 3} .0109341
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull = .077{p_end}

{txt}       F(  1,   186) ={res}    5.19
{txt}{col 13}Prob > F ={res}    0.0239

{p 0 7}{space 1}{text:( 1)}{space 1} treatfull = -.077{p_end}

{txt}       F(  1,   186) ={res}   22.82
{txt}{col 13}Prob > F ={res}    0.0000
{txt}note: b_urate_z_d omitted because of collinearity
{res}
{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}     7,288
{txt}{col 49}F({res}   8{txt},{res}    186{txt}){col 67}= {res}    101.14
{txt}{col 49}Prob > F{col 67}= {res}    0.0000
{txt}{col 49}R-squared{col 67}= {res}    0.2301
{txt}{col 49}Adj R-squared{col 67}= {res}    0.2277
{txt}{col 49}Root MSE{col 67}= {res}    0.6612

{txt}{ralign 78:(Std. Err. adjusted for {res:187} clusters in hc_id)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}   e_urate_z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2} .0272817{col 26}{space 2} .0218303{col 37}{space 1}    1.25{col 46}{space 3}0.213{col 54}{space 4}-.0157851{col 67}{space 3} .0703486
{txt}{space 3}b_urate_z {c |}{col 14}{res}{space 2} .3545533{col 26}{space 2} .0146561{col 37}{space 1}   24.19{col 46}{space 3}0.000{col 54}{space 4} .3256398{col 67}{space 3} .3834667
{txt}{space 1}b_urate_z_d {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 1}c_tfull_hc2 {c |}{col 14}{res}{space 2} .0150338{col 26}{space 2} .0288718{col 37}{space 1}    0.52{col 46}{space 3}0.603{col 54}{space 4}-.0419245{col 67}{space 3}  .071992
{txt}c_tfull_b_~l {c |}{col 14}{res}{space 2} .0237715{col 26}{space 2}  .033878{col 37}{space 1}    0.70{col 46}{space 3}0.484{col 54}{space 4}-.0430629{col 67}{space 3}  .090606
{txt}c_tfull_b_~s {c |}{col 14}{res}{space 2} .0295139{col 26}{space 2} .0434455{col 37}{space 1}    0.68{col 46}{space 3}0.498{col 54}{space 4}-.0561953{col 67}{space 3} .1152232
{txt}c_tfull_b_~d {c |}{col 14}{res}{space 2} .1472312{col 26}{space 2} .0420304{col 37}{space 1}    3.50{col 46}{space 3}0.001{col 54}{space 4} .0643136{col 67}{space 3} .2301488
{txt}c_tfull_ed~r {c |}{col 14}{res}{space 2}-.0114403{col 26}{space 2} .0021229{col 37}{space 1}   -5.39{col 46}{space 3}0.000{col 54}{space 4}-.0156284{col 67}{space 3}-.0072523
{txt}c_tfull_b_~x {c |}{col 14}{res}{space 2}-.0444239{col 26}{space 2} .0098167{col 37}{space 1}   -4.53{col 46}{space 3}0.000{col 54}{space 4}-.0637903{col 67}{space 3}-.0250575
{txt}{space 7}_cons {c |}{col 14}{res}{space 2}-.0199136{col 26}{space 2} .0156365{col 37}{space 1}   -1.27{col 46}{space 3}0.204{col 54}{space 4}-.0507613{col 67}{space 3} .0109341
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull = .078{p_end}

{txt}       F(  1,   186) ={res}    5.40
{txt}{col 13}Prob > F ={res}    0.0212

{p 0 7}{space 1}{text:( 1)}{space 1} treatfull = -.078{p_end}

{txt}       F(  1,   186) ={res}   23.26
{txt}{col 13}Prob > F ={res}    0.0000
{txt}note: b_urate_z_d omitted because of collinearity
{res}
{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}     7,288
{txt}{col 49}F({res}   8{txt},{res}    186{txt}){col 67}= {res}    101.14
{txt}{col 49}Prob > F{col 67}= {res}    0.0000
{txt}{col 49}R-squared{col 67}= {res}    0.2301
{txt}{col 49}Adj R-squared{col 67}= {res}    0.2277
{txt}{col 49}Root MSE{col 67}= {res}    0.6612

{txt}{ralign 78:(Std. Err. adjusted for {res:187} clusters in hc_id)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}   e_urate_z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2} .0272817{col 26}{space 2} .0218303{col 37}{space 1}    1.25{col 46}{space 3}0.213{col 54}{space 4}-.0157851{col 67}{space 3} .0703486
{txt}{space 3}b_urate_z {c |}{col 14}{res}{space 2} .3545533{col 26}{space 2} .0146561{col 37}{space 1}   24.19{col 46}{space 3}0.000{col 54}{space 4} .3256398{col 67}{space 3} .3834667
{txt}{space 1}b_urate_z_d {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 1}c_tfull_hc2 {c |}{col 14}{res}{space 2} .0150338{col 26}{space 2} .0288718{col 37}{space 1}    0.52{col 46}{space 3}0.603{col 54}{space 4}-.0419245{col 67}{space 3}  .071992
{txt}c_tfull_b_~l {c |}{col 14}{res}{space 2} .0237715{col 26}{space 2}  .033878{col 37}{space 1}    0.70{col 46}{space 3}0.484{col 54}{space 4}-.0430629{col 67}{space 3}  .090606
{txt}c_tfull_b_~s {c |}{col 14}{res}{space 2} .0295139{col 26}{space 2} .0434455{col 37}{space 1}    0.68{col 46}{space 3}0.498{col 54}{space 4}-.0561953{col 67}{space 3} .1152232
{txt}c_tfull_b_~d {c |}{col 14}{res}{space 2} .1472312{col 26}{space 2} .0420304{col 37}{space 1}    3.50{col 46}{space 3}0.001{col 54}{space 4} .0643136{col 67}{space 3} .2301488
{txt}c_tfull_ed~r {c |}{col 14}{res}{space 2}-.0114403{col 26}{space 2} .0021229{col 37}{space 1}   -5.39{col 46}{space 3}0.000{col 54}{space 4}-.0156284{col 67}{space 3}-.0072523
{txt}c_tfull_b_~x {c |}{col 14}{res}{space 2}-.0444239{col 26}{space 2} .0098167{col 37}{space 1}   -4.53{col 46}{space 3}0.000{col 54}{space 4}-.0637903{col 67}{space 3}-.0250575
{txt}{space 7}_cons {c |}{col 14}{res}{space 2}-.0199136{col 26}{space 2} .0156365{col 37}{space 1}   -1.27{col 46}{space 3}0.204{col 54}{space 4}-.0507613{col 67}{space 3} .0109341
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull = .079{p_end}

{txt}       F(  1,   186) ={res}    5.61
{txt}{col 13}Prob > F ={res}    0.0189

{p 0 7}{space 1}{text:( 1)}{space 1} treatfull = -.079{p_end}

{txt}       F(  1,   186) ={res}   23.70
{txt}{col 13}Prob > F ={res}    0.0000
{txt}note: b_urate_z_d omitted because of collinearity
{res}
{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}     7,288
{txt}{col 49}F({res}   8{txt},{res}    186{txt}){col 67}= {res}    101.14
{txt}{col 49}Prob > F{col 67}= {res}    0.0000
{txt}{col 49}R-squared{col 67}= {res}    0.2301
{txt}{col 49}Adj R-squared{col 67}= {res}    0.2277
{txt}{col 49}Root MSE{col 67}= {res}    0.6612

{txt}{ralign 78:(Std. Err. adjusted for {res:187} clusters in hc_id)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}   e_urate_z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2} .0272817{col 26}{space 2} .0218303{col 37}{space 1}    1.25{col 46}{space 3}0.213{col 54}{space 4}-.0157851{col 67}{space 3} .0703486
{txt}{space 3}b_urate_z {c |}{col 14}{res}{space 2} .3545533{col 26}{space 2} .0146561{col 37}{space 1}   24.19{col 46}{space 3}0.000{col 54}{space 4} .3256398{col 67}{space 3} .3834667
{txt}{space 1}b_urate_z_d {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 1}c_tfull_hc2 {c |}{col 14}{res}{space 2} .0150338{col 26}{space 2} .0288718{col 37}{space 1}    0.52{col 46}{space 3}0.603{col 54}{space 4}-.0419245{col 67}{space 3}  .071992
{txt}c_tfull_b_~l {c |}{col 14}{res}{space 2} .0237715{col 26}{space 2}  .033878{col 37}{space 1}    0.70{col 46}{space 3}0.484{col 54}{space 4}-.0430629{col 67}{space 3}  .090606
{txt}c_tfull_b_~s {c |}{col 14}{res}{space 2} .0295139{col 26}{space 2} .0434455{col 37}{space 1}    0.68{col 46}{space 3}0.498{col 54}{space 4}-.0561953{col 67}{space 3} .1152232
{txt}c_tfull_b_~d {c |}{col 14}{res}{space 2} .1472312{col 26}{space 2} .0420304{col 37}{space 1}    3.50{col 46}{space 3}0.001{col 54}{space 4} .0643136{col 67}{space 3} .2301488
{txt}c_tfull_ed~r {c |}{col 14}{res}{space 2}-.0114403{col 26}{space 2} .0021229{col 37}{space 1}   -5.39{col 46}{space 3}0.000{col 54}{space 4}-.0156284{col 67}{space 3}-.0072523
{txt}c_tfull_b_~x {c |}{col 14}{res}{space 2}-.0444239{col 26}{space 2} .0098167{col 37}{space 1}   -4.53{col 46}{space 3}0.000{col 54}{space 4}-.0637903{col 67}{space 3}-.0250575
{txt}{space 7}_cons {c |}{col 14}{res}{space 2}-.0199136{col 26}{space 2} .0156365{col 37}{space 1}   -1.27{col 46}{space 3}0.204{col 54}{space 4}-.0507613{col 67}{space 3} .0109341
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull = .08{p_end}

{txt}       F(  1,   186) ={res}    5.83
{txt}{col 13}Prob > F ={res}    0.0167

{p 0 7}{space 1}{text:( 1)}{space 1} treatfull = -.08{p_end}

{txt}       F(  1,   186) ={res}   24.15
{txt}{col 13}Prob > F ={res}    0.0000
{txt}note: b_urate_z_d omitted because of collinearity
{res}
{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}     7,288
{txt}{col 49}F({res}   8{txt},{res}    186{txt}){col 67}= {res}    101.14
{txt}{col 49}Prob > F{col 67}= {res}    0.0000
{txt}{col 49}R-squared{col 67}= {res}    0.2301
{txt}{col 49}Adj R-squared{col 67}= {res}    0.2277
{txt}{col 49}Root MSE{col 67}= {res}    0.6612

{txt}{ralign 78:(Std. Err. adjusted for {res:187} clusters in hc_id)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}   e_urate_z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2} .0272817{col 26}{space 2} .0218303{col 37}{space 1}    1.25{col 46}{space 3}0.213{col 54}{space 4}-.0157851{col 67}{space 3} .0703486
{txt}{space 3}b_urate_z {c |}{col 14}{res}{space 2} .3545533{col 26}{space 2} .0146561{col 37}{space 1}   24.19{col 46}{space 3}0.000{col 54}{space 4} .3256398{col 67}{space 3} .3834667
{txt}{space 1}b_urate_z_d {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 1}c_tfull_hc2 {c |}{col 14}{res}{space 2} .0150338{col 26}{space 2} .0288718{col 37}{space 1}    0.52{col 46}{space 3}0.603{col 54}{space 4}-.0419245{col 67}{space 3}  .071992
{txt}c_tfull_b_~l {c |}{col 14}{res}{space 2} .0237715{col 26}{space 2}  .033878{col 37}{space 1}    0.70{col 46}{space 3}0.484{col 54}{space 4}-.0430629{col 67}{space 3}  .090606
{txt}c_tfull_b_~s {c |}{col 14}{res}{space 2} .0295139{col 26}{space 2} .0434455{col 37}{space 1}    0.68{col 46}{space 3}0.498{col 54}{space 4}-.0561953{col 67}{space 3} .1152232
{txt}c_tfull_b_~d {c |}{col 14}{res}{space 2} .1472312{col 26}{space 2} .0420304{col 37}{space 1}    3.50{col 46}{space 3}0.001{col 54}{space 4} .0643136{col 67}{space 3} .2301488
{txt}c_tfull_ed~r {c |}{col 14}{res}{space 2}-.0114403{col 26}{space 2} .0021229{col 37}{space 1}   -5.39{col 46}{space 3}0.000{col 54}{space 4}-.0156284{col 67}{space 3}-.0072523
{txt}c_tfull_b_~x {c |}{col 14}{res}{space 2}-.0444239{col 26}{space 2} .0098167{col 37}{space 1}   -4.53{col 46}{space 3}0.000{col 54}{space 4}-.0637903{col 67}{space 3}-.0250575
{txt}{space 7}_cons {c |}{col 14}{res}{space 2}-.0199136{col 26}{space 2} .0156365{col 37}{space 1}   -1.27{col 46}{space 3}0.204{col 54}{space 4}-.0507613{col 67}{space 3} .0109341
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull = .081{p_end}

{txt}       F(  1,   186) ={res}    6.06
{txt}{col 13}Prob > F ={res}    0.0148

{p 0 7}{space 1}{text:( 1)}{space 1} treatfull = -.081{p_end}

{txt}       F(  1,   186) ={res}   24.60
{txt}{col 13}Prob > F ={res}    0.0000
{txt}note: b_urate_z_d omitted because of collinearity
{res}
{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}     7,288
{txt}{col 49}F({res}   8{txt},{res}    186{txt}){col 67}= {res}    101.14
{txt}{col 49}Prob > F{col 67}= {res}    0.0000
{txt}{col 49}R-squared{col 67}= {res}    0.2301
{txt}{col 49}Adj R-squared{col 67}= {res}    0.2277
{txt}{col 49}Root MSE{col 67}= {res}    0.6612

{txt}{ralign 78:(Std. Err. adjusted for {res:187} clusters in hc_id)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}   e_urate_z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2} .0272817{col 26}{space 2} .0218303{col 37}{space 1}    1.25{col 46}{space 3}0.213{col 54}{space 4}-.0157851{col 67}{space 3} .0703486
{txt}{space 3}b_urate_z {c |}{col 14}{res}{space 2} .3545533{col 26}{space 2} .0146561{col 37}{space 1}   24.19{col 46}{space 3}0.000{col 54}{space 4} .3256398{col 67}{space 3} .3834667
{txt}{space 1}b_urate_z_d {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 1}c_tfull_hc2 {c |}{col 14}{res}{space 2} .0150338{col 26}{space 2} .0288718{col 37}{space 1}    0.52{col 46}{space 3}0.603{col 54}{space 4}-.0419245{col 67}{space 3}  .071992
{txt}c_tfull_b_~l {c |}{col 14}{res}{space 2} .0237715{col 26}{space 2}  .033878{col 37}{space 1}    0.70{col 46}{space 3}0.484{col 54}{space 4}-.0430629{col 67}{space 3}  .090606
{txt}c_tfull_b_~s {c |}{col 14}{res}{space 2} .0295139{col 26}{space 2} .0434455{col 37}{space 1}    0.68{col 46}{space 3}0.498{col 54}{space 4}-.0561953{col 67}{space 3} .1152232
{txt}c_tfull_b_~d {c |}{col 14}{res}{space 2} .1472312{col 26}{space 2} .0420304{col 37}{space 1}    3.50{col 46}{space 3}0.001{col 54}{space 4} .0643136{col 67}{space 3} .2301488
{txt}c_tfull_ed~r {c |}{col 14}{res}{space 2}-.0114403{col 26}{space 2} .0021229{col 37}{space 1}   -5.39{col 46}{space 3}0.000{col 54}{space 4}-.0156284{col 67}{space 3}-.0072523
{txt}c_tfull_b_~x {c |}{col 14}{res}{space 2}-.0444239{col 26}{space 2} .0098167{col 37}{space 1}   -4.53{col 46}{space 3}0.000{col 54}{space 4}-.0637903{col 67}{space 3}-.0250575
{txt}{space 7}_cons {c |}{col 14}{res}{space 2}-.0199136{col 26}{space 2} .0156365{col 37}{space 1}   -1.27{col 46}{space 3}0.204{col 54}{space 4}-.0507613{col 67}{space 3} .0109341
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull = .082{p_end}

{txt}       F(  1,   186) ={res}    6.28
{txt}{col 13}Prob > F ={res}    0.0130

{p 0 7}{space 1}{text:( 1)}{space 1} treatfull = -.082{p_end}

{txt}       F(  1,   186) ={res}   25.06
{txt}{col 13}Prob > F ={res}    0.0000
{txt}note: b_urate_z_d omitted because of collinearity
{res}
{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}     7,288
{txt}{col 49}F({res}   8{txt},{res}    186{txt}){col 67}= {res}    101.14
{txt}{col 49}Prob > F{col 67}= {res}    0.0000
{txt}{col 49}R-squared{col 67}= {res}    0.2301
{txt}{col 49}Adj R-squared{col 67}= {res}    0.2277
{txt}{col 49}Root MSE{col 67}= {res}    0.6612

{txt}{ralign 78:(Std. Err. adjusted for {res:187} clusters in hc_id)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}   e_urate_z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2} .0272817{col 26}{space 2} .0218303{col 37}{space 1}    1.25{col 46}{space 3}0.213{col 54}{space 4}-.0157851{col 67}{space 3} .0703486
{txt}{space 3}b_urate_z {c |}{col 14}{res}{space 2} .3545533{col 26}{space 2} .0146561{col 37}{space 1}   24.19{col 46}{space 3}0.000{col 54}{space 4} .3256398{col 67}{space 3} .3834667
{txt}{space 1}b_urate_z_d {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 1}c_tfull_hc2 {c |}{col 14}{res}{space 2} .0150338{col 26}{space 2} .0288718{col 37}{space 1}    0.52{col 46}{space 3}0.603{col 54}{space 4}-.0419245{col 67}{space 3}  .071992
{txt}c_tfull_b_~l {c |}{col 14}{res}{space 2} .0237715{col 26}{space 2}  .033878{col 37}{space 1}    0.70{col 46}{space 3}0.484{col 54}{space 4}-.0430629{col 67}{space 3}  .090606
{txt}c_tfull_b_~s {c |}{col 14}{res}{space 2} .0295139{col 26}{space 2} .0434455{col 37}{space 1}    0.68{col 46}{space 3}0.498{col 54}{space 4}-.0561953{col 67}{space 3} .1152232
{txt}c_tfull_b_~d {c |}{col 14}{res}{space 2} .1472312{col 26}{space 2} .0420304{col 37}{space 1}    3.50{col 46}{space 3}0.001{col 54}{space 4} .0643136{col 67}{space 3} .2301488
{txt}c_tfull_ed~r {c |}{col 14}{res}{space 2}-.0114403{col 26}{space 2} .0021229{col 37}{space 1}   -5.39{col 46}{space 3}0.000{col 54}{space 4}-.0156284{col 67}{space 3}-.0072523
{txt}c_tfull_b_~x {c |}{col 14}{res}{space 2}-.0444239{col 26}{space 2} .0098167{col 37}{space 1}   -4.53{col 46}{space 3}0.000{col 54}{space 4}-.0637903{col 67}{space 3}-.0250575
{txt}{space 7}_cons {c |}{col 14}{res}{space 2}-.0199136{col 26}{space 2} .0156365{col 37}{space 1}   -1.27{col 46}{space 3}0.204{col 54}{space 4}-.0507613{col 67}{space 3} .0109341
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull = .083{p_end}

{txt}       F(  1,   186) ={res}    6.51
{txt}{col 13}Prob > F ={res}    0.0115

{p 0 7}{space 1}{text:( 1)}{space 1} treatfull = -.083{p_end}

{txt}       F(  1,   186) ={res}   25.52
{txt}{col 13}Prob > F ={res}    0.0000
{txt}note: b_urate_z_d omitted because of collinearity
{res}
{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}     7,288
{txt}{col 49}F({res}   8{txt},{res}    186{txt}){col 67}= {res}    101.14
{txt}{col 49}Prob > F{col 67}= {res}    0.0000
{txt}{col 49}R-squared{col 67}= {res}    0.2301
{txt}{col 49}Adj R-squared{col 67}= {res}    0.2277
{txt}{col 49}Root MSE{col 67}= {res}    0.6612

{txt}{ralign 78:(Std. Err. adjusted for {res:187} clusters in hc_id)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}   e_urate_z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2} .0272817{col 26}{space 2} .0218303{col 37}{space 1}    1.25{col 46}{space 3}0.213{col 54}{space 4}-.0157851{col 67}{space 3} .0703486
{txt}{space 3}b_urate_z {c |}{col 14}{res}{space 2} .3545533{col 26}{space 2} .0146561{col 37}{space 1}   24.19{col 46}{space 3}0.000{col 54}{space 4} .3256398{col 67}{space 3} .3834667
{txt}{space 1}b_urate_z_d {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 1}c_tfull_hc2 {c |}{col 14}{res}{space 2} .0150338{col 26}{space 2} .0288718{col 37}{space 1}    0.52{col 46}{space 3}0.603{col 54}{space 4}-.0419245{col 67}{space 3}  .071992
{txt}c_tfull_b_~l {c |}{col 14}{res}{space 2} .0237715{col 26}{space 2}  .033878{col 37}{space 1}    0.70{col 46}{space 3}0.484{col 54}{space 4}-.0430629{col 67}{space 3}  .090606
{txt}c_tfull_b_~s {c |}{col 14}{res}{space 2} .0295139{col 26}{space 2} .0434455{col 37}{space 1}    0.68{col 46}{space 3}0.498{col 54}{space 4}-.0561953{col 67}{space 3} .1152232
{txt}c_tfull_b_~d {c |}{col 14}{res}{space 2} .1472312{col 26}{space 2} .0420304{col 37}{space 1}    3.50{col 46}{space 3}0.001{col 54}{space 4} .0643136{col 67}{space 3} .2301488
{txt}c_tfull_ed~r {c |}{col 14}{res}{space 2}-.0114403{col 26}{space 2} .0021229{col 37}{space 1}   -5.39{col 46}{space 3}0.000{col 54}{space 4}-.0156284{col 67}{space 3}-.0072523
{txt}c_tfull_b_~x {c |}{col 14}{res}{space 2}-.0444239{col 26}{space 2} .0098167{col 37}{space 1}   -4.53{col 46}{space 3}0.000{col 54}{space 4}-.0637903{col 67}{space 3}-.0250575
{txt}{space 7}_cons {c |}{col 14}{res}{space 2}-.0199136{col 26}{space 2} .0156365{col 37}{space 1}   -1.27{col 46}{space 3}0.204{col 54}{space 4}-.0507613{col 67}{space 3} .0109341
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull = .084{p_end}

{txt}       F(  1,   186) ={res}    6.75
{txt}{col 13}Prob > F ={res}    0.0101

{p 0 7}{space 1}{text:( 1)}{space 1} treatfull = -.084{p_end}

{txt}       F(  1,   186) ={res}   25.99
{txt}{col 13}Prob > F ={res}    0.0000
{txt}note: b_urate_z_d omitted because of collinearity
{res}
{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}     7,288
{txt}{col 49}F({res}   8{txt},{res}    186{txt}){col 67}= {res}    101.14
{txt}{col 49}Prob > F{col 67}= {res}    0.0000
{txt}{col 49}R-squared{col 67}= {res}    0.2301
{txt}{col 49}Adj R-squared{col 67}= {res}    0.2277
{txt}{col 49}Root MSE{col 67}= {res}    0.6612

{txt}{ralign 78:(Std. Err. adjusted for {res:187} clusters in hc_id)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}   e_urate_z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2} .0272817{col 26}{space 2} .0218303{col 37}{space 1}    1.25{col 46}{space 3}0.213{col 54}{space 4}-.0157851{col 67}{space 3} .0703486
{txt}{space 3}b_urate_z {c |}{col 14}{res}{space 2} .3545533{col 26}{space 2} .0146561{col 37}{space 1}   24.19{col 46}{space 3}0.000{col 54}{space 4} .3256398{col 67}{space 3} .3834667
{txt}{space 1}b_urate_z_d {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 1}c_tfull_hc2 {c |}{col 14}{res}{space 2} .0150338{col 26}{space 2} .0288718{col 37}{space 1}    0.52{col 46}{space 3}0.603{col 54}{space 4}-.0419245{col 67}{space 3}  .071992
{txt}c_tfull_b_~l {c |}{col 14}{res}{space 2} .0237715{col 26}{space 2}  .033878{col 37}{space 1}    0.70{col 46}{space 3}0.484{col 54}{space 4}-.0430629{col 67}{space 3}  .090606
{txt}c_tfull_b_~s {c |}{col 14}{res}{space 2} .0295139{col 26}{space 2} .0434455{col 37}{space 1}    0.68{col 46}{space 3}0.498{col 54}{space 4}-.0561953{col 67}{space 3} .1152232
{txt}c_tfull_b_~d {c |}{col 14}{res}{space 2} .1472312{col 26}{space 2} .0420304{col 37}{space 1}    3.50{col 46}{space 3}0.001{col 54}{space 4} .0643136{col 67}{space 3} .2301488
{txt}c_tfull_ed~r {c |}{col 14}{res}{space 2}-.0114403{col 26}{space 2} .0021229{col 37}{space 1}   -5.39{col 46}{space 3}0.000{col 54}{space 4}-.0156284{col 67}{space 3}-.0072523
{txt}c_tfull_b_~x {c |}{col 14}{res}{space 2}-.0444239{col 26}{space 2} .0098167{col 37}{space 1}   -4.53{col 46}{space 3}0.000{col 54}{space 4}-.0637903{col 67}{space 3}-.0250575
{txt}{space 7}_cons {c |}{col 14}{res}{space 2}-.0199136{col 26}{space 2} .0156365{col 37}{space 1}   -1.27{col 46}{space 3}0.204{col 54}{space 4}-.0507613{col 67}{space 3} .0109341
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull = .085{p_end}

{txt}       F(  1,   186) ={res}    6.99
{txt}{col 13}Prob > F ={res}    0.0089

{p 0 7}{space 1}{text:( 1)}{space 1} treatfull = -.085{p_end}

{txt}       F(  1,   186) ={res}   26.45
{txt}{col 13}Prob > F ={res}    0.0000
{txt}note: b_urate_z_d omitted because of collinearity
{res}
{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}     7,288
{txt}{col 49}F({res}   8{txt},{res}    186{txt}){col 67}= {res}    101.14
{txt}{col 49}Prob > F{col 67}= {res}    0.0000
{txt}{col 49}R-squared{col 67}= {res}    0.2301
{txt}{col 49}Adj R-squared{col 67}= {res}    0.2277
{txt}{col 49}Root MSE{col 67}= {res}    0.6612

{txt}{ralign 78:(Std. Err. adjusted for {res:187} clusters in hc_id)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}   e_urate_z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2} .0272817{col 26}{space 2} .0218303{col 37}{space 1}    1.25{col 46}{space 3}0.213{col 54}{space 4}-.0157851{col 67}{space 3} .0703486
{txt}{space 3}b_urate_z {c |}{col 14}{res}{space 2} .3545533{col 26}{space 2} .0146561{col 37}{space 1}   24.19{col 46}{space 3}0.000{col 54}{space 4} .3256398{col 67}{space 3} .3834667
{txt}{space 1}b_urate_z_d {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 1}c_tfull_hc2 {c |}{col 14}{res}{space 2} .0150338{col 26}{space 2} .0288718{col 37}{space 1}    0.52{col 46}{space 3}0.603{col 54}{space 4}-.0419245{col 67}{space 3}  .071992
{txt}c_tfull_b_~l {c |}{col 14}{res}{space 2} .0237715{col 26}{space 2}  .033878{col 37}{space 1}    0.70{col 46}{space 3}0.484{col 54}{space 4}-.0430629{col 67}{space 3}  .090606
{txt}c_tfull_b_~s {c |}{col 14}{res}{space 2} .0295139{col 26}{space 2} .0434455{col 37}{space 1}    0.68{col 46}{space 3}0.498{col 54}{space 4}-.0561953{col 67}{space 3} .1152232
{txt}c_tfull_b_~d {c |}{col 14}{res}{space 2} .1472312{col 26}{space 2} .0420304{col 37}{space 1}    3.50{col 46}{space 3}0.001{col 54}{space 4} .0643136{col 67}{space 3} .2301488
{txt}c_tfull_ed~r {c |}{col 14}{res}{space 2}-.0114403{col 26}{space 2} .0021229{col 37}{space 1}   -5.39{col 46}{space 3}0.000{col 54}{space 4}-.0156284{col 67}{space 3}-.0072523
{txt}c_tfull_b_~x {c |}{col 14}{res}{space 2}-.0444239{col 26}{space 2} .0098167{col 37}{space 1}   -4.53{col 46}{space 3}0.000{col 54}{space 4}-.0637903{col 67}{space 3}-.0250575
{txt}{space 7}_cons {c |}{col 14}{res}{space 2}-.0199136{col 26}{space 2} .0156365{col 37}{space 1}   -1.27{col 46}{space 3}0.204{col 54}{space 4}-.0507613{col 67}{space 3} .0109341
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull = .086{p_end}

{txt}       F(  1,   186) ={res}    7.23
{txt}{col 13}Prob > F ={res}    0.0078

{p 0 7}{space 1}{text:( 1)}{space 1} treatfull = -.086{p_end}

{txt}       F(  1,   186) ={res}   26.93
{txt}{col 13}Prob > F ={res}    0.0000
{txt}note: b_urate_z_d omitted because of collinearity
{res}
{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}     7,288
{txt}{col 49}F({res}   8{txt},{res}    186{txt}){col 67}= {res}    101.14
{txt}{col 49}Prob > F{col 67}= {res}    0.0000
{txt}{col 49}R-squared{col 67}= {res}    0.2301
{txt}{col 49}Adj R-squared{col 67}= {res}    0.2277
{txt}{col 49}Root MSE{col 67}= {res}    0.6612

{txt}{ralign 78:(Std. Err. adjusted for {res:187} clusters in hc_id)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}   e_urate_z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2} .0272817{col 26}{space 2} .0218303{col 37}{space 1}    1.25{col 46}{space 3}0.213{col 54}{space 4}-.0157851{col 67}{space 3} .0703486
{txt}{space 3}b_urate_z {c |}{col 14}{res}{space 2} .3545533{col 26}{space 2} .0146561{col 37}{space 1}   24.19{col 46}{space 3}0.000{col 54}{space 4} .3256398{col 67}{space 3} .3834667
{txt}{space 1}b_urate_z_d {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 1}c_tfull_hc2 {c |}{col 14}{res}{space 2} .0150338{col 26}{space 2} .0288718{col 37}{space 1}    0.52{col 46}{space 3}0.603{col 54}{space 4}-.0419245{col 67}{space 3}  .071992
{txt}c_tfull_b_~l {c |}{col 14}{res}{space 2} .0237715{col 26}{space 2}  .033878{col 37}{space 1}    0.70{col 46}{space 3}0.484{col 54}{space 4}-.0430629{col 67}{space 3}  .090606
{txt}c_tfull_b_~s {c |}{col 14}{res}{space 2} .0295139{col 26}{space 2} .0434455{col 37}{space 1}    0.68{col 46}{space 3}0.498{col 54}{space 4}-.0561953{col 67}{space 3} .1152232
{txt}c_tfull_b_~d {c |}{col 14}{res}{space 2} .1472312{col 26}{space 2} .0420304{col 37}{space 1}    3.50{col 46}{space 3}0.001{col 54}{space 4} .0643136{col 67}{space 3} .2301488
{txt}c_tfull_ed~r {c |}{col 14}{res}{space 2}-.0114403{col 26}{space 2} .0021229{col 37}{space 1}   -5.39{col 46}{space 3}0.000{col 54}{space 4}-.0156284{col 67}{space 3}-.0072523
{txt}c_tfull_b_~x {c |}{col 14}{res}{space 2}-.0444239{col 26}{space 2} .0098167{col 37}{space 1}   -4.53{col 46}{space 3}0.000{col 54}{space 4}-.0637903{col 67}{space 3}-.0250575
{txt}{space 7}_cons {c |}{col 14}{res}{space 2}-.0199136{col 26}{space 2} .0156365{col 37}{space 1}   -1.27{col 46}{space 3}0.204{col 54}{space 4}-.0507613{col 67}{space 3} .0109341
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull = .087{p_end}

{txt}       F(  1,   186) ={res}    7.48
{txt}{col 13}Prob > F ={res}    0.0068

{p 0 7}{space 1}{text:( 1)}{space 1} treatfull = -.087{p_end}

{txt}       F(  1,   186) ={res}   27.41
{txt}{col 13}Prob > F ={res}    0.0000
{txt}note: b_urate_z_d omitted because of collinearity
{res}
{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}     7,288
{txt}{col 49}F({res}   8{txt},{res}    186{txt}){col 67}= {res}    101.14
{txt}{col 49}Prob > F{col 67}= {res}    0.0000
{txt}{col 49}R-squared{col 67}= {res}    0.2301
{txt}{col 49}Adj R-squared{col 67}= {res}    0.2277
{txt}{col 49}Root MSE{col 67}= {res}    0.6612

{txt}{ralign 78:(Std. Err. adjusted for {res:187} clusters in hc_id)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}   e_urate_z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2} .0272817{col 26}{space 2} .0218303{col 37}{space 1}    1.25{col 46}{space 3}0.213{col 54}{space 4}-.0157851{col 67}{space 3} .0703486
{txt}{space 3}b_urate_z {c |}{col 14}{res}{space 2} .3545533{col 26}{space 2} .0146561{col 37}{space 1}   24.19{col 46}{space 3}0.000{col 54}{space 4} .3256398{col 67}{space 3} .3834667
{txt}{space 1}b_urate_z_d {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 1}c_tfull_hc2 {c |}{col 14}{res}{space 2} .0150338{col 26}{space 2} .0288718{col 37}{space 1}    0.52{col 46}{space 3}0.603{col 54}{space 4}-.0419245{col 67}{space 3}  .071992
{txt}c_tfull_b_~l {c |}{col 14}{res}{space 2} .0237715{col 26}{space 2}  .033878{col 37}{space 1}    0.70{col 46}{space 3}0.484{col 54}{space 4}-.0430629{col 67}{space 3}  .090606
{txt}c_tfull_b_~s {c |}{col 14}{res}{space 2} .0295139{col 26}{space 2} .0434455{col 37}{space 1}    0.68{col 46}{space 3}0.498{col 54}{space 4}-.0561953{col 67}{space 3} .1152232
{txt}c_tfull_b_~d {c |}{col 14}{res}{space 2} .1472312{col 26}{space 2} .0420304{col 37}{space 1}    3.50{col 46}{space 3}0.001{col 54}{space 4} .0643136{col 67}{space 3} .2301488
{txt}c_tfull_ed~r {c |}{col 14}{res}{space 2}-.0114403{col 26}{space 2} .0021229{col 37}{space 1}   -5.39{col 46}{space 3}0.000{col 54}{space 4}-.0156284{col 67}{space 3}-.0072523
{txt}c_tfull_b_~x {c |}{col 14}{res}{space 2}-.0444239{col 26}{space 2} .0098167{col 37}{space 1}   -4.53{col 46}{space 3}0.000{col 54}{space 4}-.0637903{col 67}{space 3}-.0250575
{txt}{space 7}_cons {c |}{col 14}{res}{space 2}-.0199136{col 26}{space 2} .0156365{col 37}{space 1}   -1.27{col 46}{space 3}0.204{col 54}{space 4}-.0507613{col 67}{space 3} .0109341
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull = .088{p_end}

{txt}       F(  1,   186) ={res}    7.74
{txt}{col 13}Prob > F ={res}    0.0060

{p 0 7}{space 1}{text:( 1)}{space 1} treatfull = -.088{p_end}

{txt}       F(  1,   186) ={res}   27.89
{txt}{col 13}Prob > F ={res}    0.0000
{txt}note: b_urate_z_d omitted because of collinearity
{res}
{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}     7,288
{txt}{col 49}F({res}   8{txt},{res}    186{txt}){col 67}= {res}    101.14
{txt}{col 49}Prob > F{col 67}= {res}    0.0000
{txt}{col 49}R-squared{col 67}= {res}    0.2301
{txt}{col 49}Adj R-squared{col 67}= {res}    0.2277
{txt}{col 49}Root MSE{col 67}= {res}    0.6612

{txt}{ralign 78:(Std. Err. adjusted for {res:187} clusters in hc_id)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}   e_urate_z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2} .0272817{col 26}{space 2} .0218303{col 37}{space 1}    1.25{col 46}{space 3}0.213{col 54}{space 4}-.0157851{col 67}{space 3} .0703486
{txt}{space 3}b_urate_z {c |}{col 14}{res}{space 2} .3545533{col 26}{space 2} .0146561{col 37}{space 1}   24.19{col 46}{space 3}0.000{col 54}{space 4} .3256398{col 67}{space 3} .3834667
{txt}{space 1}b_urate_z_d {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 1}c_tfull_hc2 {c |}{col 14}{res}{space 2} .0150338{col 26}{space 2} .0288718{col 37}{space 1}    0.52{col 46}{space 3}0.603{col 54}{space 4}-.0419245{col 67}{space 3}  .071992
{txt}c_tfull_b_~l {c |}{col 14}{res}{space 2} .0237715{col 26}{space 2}  .033878{col 37}{space 1}    0.70{col 46}{space 3}0.484{col 54}{space 4}-.0430629{col 67}{space 3}  .090606
{txt}c_tfull_b_~s {c |}{col 14}{res}{space 2} .0295139{col 26}{space 2} .0434455{col 37}{space 1}    0.68{col 46}{space 3}0.498{col 54}{space 4}-.0561953{col 67}{space 3} .1152232
{txt}c_tfull_b_~d {c |}{col 14}{res}{space 2} .1472312{col 26}{space 2} .0420304{col 37}{space 1}    3.50{col 46}{space 3}0.001{col 54}{space 4} .0643136{col 67}{space 3} .2301488
{txt}c_tfull_ed~r {c |}{col 14}{res}{space 2}-.0114403{col 26}{space 2} .0021229{col 37}{space 1}   -5.39{col 46}{space 3}0.000{col 54}{space 4}-.0156284{col 67}{space 3}-.0072523
{txt}c_tfull_b_~x {c |}{col 14}{res}{space 2}-.0444239{col 26}{space 2} .0098167{col 37}{space 1}   -4.53{col 46}{space 3}0.000{col 54}{space 4}-.0637903{col 67}{space 3}-.0250575
{txt}{space 7}_cons {c |}{col 14}{res}{space 2}-.0199136{col 26}{space 2} .0156365{col 37}{space 1}   -1.27{col 46}{space 3}0.204{col 54}{space 4}-.0507613{col 67}{space 3} .0109341
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull = .089{p_end}

{txt}       F(  1,   186) ={res}    7.99
{txt}{col 13}Prob > F ={res}    0.0052

{p 0 7}{space 1}{text:( 1)}{space 1} treatfull = -.089{p_end}

{txt}       F(  1,   186) ={res}   28.37
{txt}{col 13}Prob > F ={res}    0.0000
{txt}note: b_urate_z_d omitted because of collinearity
{res}
{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}     7,288
{txt}{col 49}F({res}   8{txt},{res}    186{txt}){col 67}= {res}    101.14
{txt}{col 49}Prob > F{col 67}= {res}    0.0000
{txt}{col 49}R-squared{col 67}= {res}    0.2301
{txt}{col 49}Adj R-squared{col 67}= {res}    0.2277
{txt}{col 49}Root MSE{col 67}= {res}    0.6612

{txt}{ralign 78:(Std. Err. adjusted for {res:187} clusters in hc_id)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}   e_urate_z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2} .0272817{col 26}{space 2} .0218303{col 37}{space 1}    1.25{col 46}{space 3}0.213{col 54}{space 4}-.0157851{col 67}{space 3} .0703486
{txt}{space 3}b_urate_z {c |}{col 14}{res}{space 2} .3545533{col 26}{space 2} .0146561{col 37}{space 1}   24.19{col 46}{space 3}0.000{col 54}{space 4} .3256398{col 67}{space 3} .3834667
{txt}{space 1}b_urate_z_d {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 1}c_tfull_hc2 {c |}{col 14}{res}{space 2} .0150338{col 26}{space 2} .0288718{col 37}{space 1}    0.52{col 46}{space 3}0.603{col 54}{space 4}-.0419245{col 67}{space 3}  .071992
{txt}c_tfull_b_~l {c |}{col 14}{res}{space 2} .0237715{col 26}{space 2}  .033878{col 37}{space 1}    0.70{col 46}{space 3}0.484{col 54}{space 4}-.0430629{col 67}{space 3}  .090606
{txt}c_tfull_b_~s {c |}{col 14}{res}{space 2} .0295139{col 26}{space 2} .0434455{col 37}{space 1}    0.68{col 46}{space 3}0.498{col 54}{space 4}-.0561953{col 67}{space 3} .1152232
{txt}c_tfull_b_~d {c |}{col 14}{res}{space 2} .1472312{col 26}{space 2} .0420304{col 37}{space 1}    3.50{col 46}{space 3}0.001{col 54}{space 4} .0643136{col 67}{space 3} .2301488
{txt}c_tfull_ed~r {c |}{col 14}{res}{space 2}-.0114403{col 26}{space 2} .0021229{col 37}{space 1}   -5.39{col 46}{space 3}0.000{col 54}{space 4}-.0156284{col 67}{space 3}-.0072523
{txt}c_tfull_b_~x {c |}{col 14}{res}{space 2}-.0444239{col 26}{space 2} .0098167{col 37}{space 1}   -4.53{col 46}{space 3}0.000{col 54}{space 4}-.0637903{col 67}{space 3}-.0250575
{txt}{space 7}_cons {c |}{col 14}{res}{space 2}-.0199136{col 26}{space 2} .0156365{col 37}{space 1}   -1.27{col 46}{space 3}0.204{col 54}{space 4}-.0507613{col 67}{space 3} .0109341
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull = .09{p_end}

{txt}       F(  1,   186) ={res}    8.25
{txt}{col 13}Prob > F ={res}    0.0045

{p 0 7}{space 1}{text:( 1)}{space 1} treatfull = -.09{p_end}

{txt}       F(  1,   186) ={res}   28.86
{txt}{col 13}Prob > F ={res}    0.0000
{txt}note: b_urate_z_d omitted because of collinearity
{res}
{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}     7,288
{txt}{col 49}F({res}   8{txt},{res}    186{txt}){col 67}= {res}    101.14
{txt}{col 49}Prob > F{col 67}= {res}    0.0000
{txt}{col 49}R-squared{col 67}= {res}    0.2301
{txt}{col 49}Adj R-squared{col 67}= {res}    0.2277
{txt}{col 49}Root MSE{col 67}= {res}    0.6612

{txt}{ralign 78:(Std. Err. adjusted for {res:187} clusters in hc_id)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}   e_urate_z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2} .0272817{col 26}{space 2} .0218303{col 37}{space 1}    1.25{col 46}{space 3}0.213{col 54}{space 4}-.0157851{col 67}{space 3} .0703486
{txt}{space 3}b_urate_z {c |}{col 14}{res}{space 2} .3545533{col 26}{space 2} .0146561{col 37}{space 1}   24.19{col 46}{space 3}0.000{col 54}{space 4} .3256398{col 67}{space 3} .3834667
{txt}{space 1}b_urate_z_d {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 1}c_tfull_hc2 {c |}{col 14}{res}{space 2} .0150338{col 26}{space 2} .0288718{col 37}{space 1}    0.52{col 46}{space 3}0.603{col 54}{space 4}-.0419245{col 67}{space 3}  .071992
{txt}c_tfull_b_~l {c |}{col 14}{res}{space 2} .0237715{col 26}{space 2}  .033878{col 37}{space 1}    0.70{col 46}{space 3}0.484{col 54}{space 4}-.0430629{col 67}{space 3}  .090606
{txt}c_tfull_b_~s {c |}{col 14}{res}{space 2} .0295139{col 26}{space 2} .0434455{col 37}{space 1}    0.68{col 46}{space 3}0.498{col 54}{space 4}-.0561953{col 67}{space 3} .1152232
{txt}c_tfull_b_~d {c |}{col 14}{res}{space 2} .1472312{col 26}{space 2} .0420304{col 37}{space 1}    3.50{col 46}{space 3}0.001{col 54}{space 4} .0643136{col 67}{space 3} .2301488
{txt}c_tfull_ed~r {c |}{col 14}{res}{space 2}-.0114403{col 26}{space 2} .0021229{col 37}{space 1}   -5.39{col 46}{space 3}0.000{col 54}{space 4}-.0156284{col 67}{space 3}-.0072523
{txt}c_tfull_b_~x {c |}{col 14}{res}{space 2}-.0444239{col 26}{space 2} .0098167{col 37}{space 1}   -4.53{col 46}{space 3}0.000{col 54}{space 4}-.0637903{col 67}{space 3}-.0250575
{txt}{space 7}_cons {c |}{col 14}{res}{space 2}-.0199136{col 26}{space 2} .0156365{col 37}{space 1}   -1.27{col 46}{space 3}0.204{col 54}{space 4}-.0507613{col 67}{space 3} .0109341
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull = .091{p_end}

{txt}       F(  1,   186) ={res}    8.52
{txt}{col 13}Prob > F ={res}    0.0039

{p 0 7}{space 1}{text:( 1)}{space 1} treatfull = -.091{p_end}

{txt}       F(  1,   186) ={res}   29.36
{txt}{col 13}Prob > F ={res}    0.0000
{txt}note: b_urate_z_d omitted because of collinearity
{res}
{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}     7,288
{txt}{col 49}F({res}   8{txt},{res}    186{txt}){col 67}= {res}    101.14
{txt}{col 49}Prob > F{col 67}= {res}    0.0000
{txt}{col 49}R-squared{col 67}= {res}    0.2301
{txt}{col 49}Adj R-squared{col 67}= {res}    0.2277
{txt}{col 49}Root MSE{col 67}= {res}    0.6612

{txt}{ralign 78:(Std. Err. adjusted for {res:187} clusters in hc_id)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}   e_urate_z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2} .0272817{col 26}{space 2} .0218303{col 37}{space 1}    1.25{col 46}{space 3}0.213{col 54}{space 4}-.0157851{col 67}{space 3} .0703486
{txt}{space 3}b_urate_z {c |}{col 14}{res}{space 2} .3545533{col 26}{space 2} .0146561{col 37}{space 1}   24.19{col 46}{space 3}0.000{col 54}{space 4} .3256398{col 67}{space 3} .3834667
{txt}{space 1}b_urate_z_d {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 1}c_tfull_hc2 {c |}{col 14}{res}{space 2} .0150338{col 26}{space 2} .0288718{col 37}{space 1}    0.52{col 46}{space 3}0.603{col 54}{space 4}-.0419245{col 67}{space 3}  .071992
{txt}c_tfull_b_~l {c |}{col 14}{res}{space 2} .0237715{col 26}{space 2}  .033878{col 37}{space 1}    0.70{col 46}{space 3}0.484{col 54}{space 4}-.0430629{col 67}{space 3}  .090606
{txt}c_tfull_b_~s {c |}{col 14}{res}{space 2} .0295139{col 26}{space 2} .0434455{col 37}{space 1}    0.68{col 46}{space 3}0.498{col 54}{space 4}-.0561953{col 67}{space 3} .1152232
{txt}c_tfull_b_~d {c |}{col 14}{res}{space 2} .1472312{col 26}{space 2} .0420304{col 37}{space 1}    3.50{col 46}{space 3}0.001{col 54}{space 4} .0643136{col 67}{space 3} .2301488
{txt}c_tfull_ed~r {c |}{col 14}{res}{space 2}-.0114403{col 26}{space 2} .0021229{col 37}{space 1}   -5.39{col 46}{space 3}0.000{col 54}{space 4}-.0156284{col 67}{space 3}-.0072523
{txt}c_tfull_b_~x {c |}{col 14}{res}{space 2}-.0444239{col 26}{space 2} .0098167{col 37}{space 1}   -4.53{col 46}{space 3}0.000{col 54}{space 4}-.0637903{col 67}{space 3}-.0250575
{txt}{space 7}_cons {c |}{col 14}{res}{space 2}-.0199136{col 26}{space 2} .0156365{col 37}{space 1}   -1.27{col 46}{space 3}0.204{col 54}{space 4}-.0507613{col 67}{space 3} .0109341
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull = .092{p_end}

{txt}       F(  1,   186) ={res}    8.79
{txt}{col 13}Prob > F ={res}    0.0034

{p 0 7}{space 1}{text:( 1)}{space 1} treatfull = -.092{p_end}

{txt}       F(  1,   186) ={res}   29.86
{txt}{col 13}Prob > F ={res}    0.0000
{txt}note: b_urate_z_d omitted because of collinearity
{res}
{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}     7,288
{txt}{col 49}F({res}   8{txt},{res}    186{txt}){col 67}= {res}    101.14
{txt}{col 49}Prob > F{col 67}= {res}    0.0000
{txt}{col 49}R-squared{col 67}= {res}    0.2301
{txt}{col 49}Adj R-squared{col 67}= {res}    0.2277
{txt}{col 49}Root MSE{col 67}= {res}    0.6612

{txt}{ralign 78:(Std. Err. adjusted for {res:187} clusters in hc_id)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}   e_urate_z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2} .0272817{col 26}{space 2} .0218303{col 37}{space 1}    1.25{col 46}{space 3}0.213{col 54}{space 4}-.0157851{col 67}{space 3} .0703486
{txt}{space 3}b_urate_z {c |}{col 14}{res}{space 2} .3545533{col 26}{space 2} .0146561{col 37}{space 1}   24.19{col 46}{space 3}0.000{col 54}{space 4} .3256398{col 67}{space 3} .3834667
{txt}{space 1}b_urate_z_d {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 1}c_tfull_hc2 {c |}{col 14}{res}{space 2} .0150338{col 26}{space 2} .0288718{col 37}{space 1}    0.52{col 46}{space 3}0.603{col 54}{space 4}-.0419245{col 67}{space 3}  .071992
{txt}c_tfull_b_~l {c |}{col 14}{res}{space 2} .0237715{col 26}{space 2}  .033878{col 37}{space 1}    0.70{col 46}{space 3}0.484{col 54}{space 4}-.0430629{col 67}{space 3}  .090606
{txt}c_tfull_b_~s {c |}{col 14}{res}{space 2} .0295139{col 26}{space 2} .0434455{col 37}{space 1}    0.68{col 46}{space 3}0.498{col 54}{space 4}-.0561953{col 67}{space 3} .1152232
{txt}c_tfull_b_~d {c |}{col 14}{res}{space 2} .1472312{col 26}{space 2} .0420304{col 37}{space 1}    3.50{col 46}{space 3}0.001{col 54}{space 4} .0643136{col 67}{space 3} .2301488
{txt}c_tfull_ed~r {c |}{col 14}{res}{space 2}-.0114403{col 26}{space 2} .0021229{col 37}{space 1}   -5.39{col 46}{space 3}0.000{col 54}{space 4}-.0156284{col 67}{space 3}-.0072523
{txt}c_tfull_b_~x {c |}{col 14}{res}{space 2}-.0444239{col 26}{space 2} .0098167{col 37}{space 1}   -4.53{col 46}{space 3}0.000{col 54}{space 4}-.0637903{col 67}{space 3}-.0250575
{txt}{space 7}_cons {c |}{col 14}{res}{space 2}-.0199136{col 26}{space 2} .0156365{col 37}{space 1}   -1.27{col 46}{space 3}0.204{col 54}{space 4}-.0507613{col 67}{space 3} .0109341
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull = .093{p_end}

{txt}       F(  1,   186) ={res}    9.06
{txt}{col 13}Prob > F ={res}    0.0030

{p 0 7}{space 1}{text:( 1)}{space 1} treatfull = -.093{p_end}

{txt}       F(  1,   186) ={res}   30.36
{txt}{col 13}Prob > F ={res}    0.0000
{txt}note: b_urate_z_d omitted because of collinearity
{res}
{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}     7,288
{txt}{col 49}F({res}   8{txt},{res}    186{txt}){col 67}= {res}    101.14
{txt}{col 49}Prob > F{col 67}= {res}    0.0000
{txt}{col 49}R-squared{col 67}= {res}    0.2301
{txt}{col 49}Adj R-squared{col 67}= {res}    0.2277
{txt}{col 49}Root MSE{col 67}= {res}    0.6612

{txt}{ralign 78:(Std. Err. adjusted for {res:187} clusters in hc_id)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}   e_urate_z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2} .0272817{col 26}{space 2} .0218303{col 37}{space 1}    1.25{col 46}{space 3}0.213{col 54}{space 4}-.0157851{col 67}{space 3} .0703486
{txt}{space 3}b_urate_z {c |}{col 14}{res}{space 2} .3545533{col 26}{space 2} .0146561{col 37}{space 1}   24.19{col 46}{space 3}0.000{col 54}{space 4} .3256398{col 67}{space 3} .3834667
{txt}{space 1}b_urate_z_d {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 1}c_tfull_hc2 {c |}{col 14}{res}{space 2} .0150338{col 26}{space 2} .0288718{col 37}{space 1}    0.52{col 46}{space 3}0.603{col 54}{space 4}-.0419245{col 67}{space 3}  .071992
{txt}c_tfull_b_~l {c |}{col 14}{res}{space 2} .0237715{col 26}{space 2}  .033878{col 37}{space 1}    0.70{col 46}{space 3}0.484{col 54}{space 4}-.0430629{col 67}{space 3}  .090606
{txt}c_tfull_b_~s {c |}{col 14}{res}{space 2} .0295139{col 26}{space 2} .0434455{col 37}{space 1}    0.68{col 46}{space 3}0.498{col 54}{space 4}-.0561953{col 67}{space 3} .1152232
{txt}c_tfull_b_~d {c |}{col 14}{res}{space 2} .1472312{col 26}{space 2} .0420304{col 37}{space 1}    3.50{col 46}{space 3}0.001{col 54}{space 4} .0643136{col 67}{space 3} .2301488
{txt}c_tfull_ed~r {c |}{col 14}{res}{space 2}-.0114403{col 26}{space 2} .0021229{col 37}{space 1}   -5.39{col 46}{space 3}0.000{col 54}{space 4}-.0156284{col 67}{space 3}-.0072523
{txt}c_tfull_b_~x {c |}{col 14}{res}{space 2}-.0444239{col 26}{space 2} .0098167{col 37}{space 1}   -4.53{col 46}{space 3}0.000{col 54}{space 4}-.0637903{col 67}{space 3}-.0250575
{txt}{space 7}_cons {c |}{col 14}{res}{space 2}-.0199136{col 26}{space 2} .0156365{col 37}{space 1}   -1.27{col 46}{space 3}0.204{col 54}{space 4}-.0507613{col 67}{space 3} .0109341
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull = .094{p_end}

{txt}       F(  1,   186) ={res}    9.34
{txt}{col 13}Prob > F ={res}    0.0026

{p 0 7}{space 1}{text:( 1)}{space 1} treatfull = -.094{p_end}

{txt}       F(  1,   186) ={res}   30.87
{txt}{col 13}Prob > F ={res}    0.0000
{txt}note: b_urate_z_d omitted because of collinearity
{res}
{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}     7,288
{txt}{col 49}F({res}   8{txt},{res}    186{txt}){col 67}= {res}    101.14
{txt}{col 49}Prob > F{col 67}= {res}    0.0000
{txt}{col 49}R-squared{col 67}= {res}    0.2301
{txt}{col 49}Adj R-squared{col 67}= {res}    0.2277
{txt}{col 49}Root MSE{col 67}= {res}    0.6612

{txt}{ralign 78:(Std. Err. adjusted for {res:187} clusters in hc_id)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}   e_urate_z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2} .0272817{col 26}{space 2} .0218303{col 37}{space 1}    1.25{col 46}{space 3}0.213{col 54}{space 4}-.0157851{col 67}{space 3} .0703486
{txt}{space 3}b_urate_z {c |}{col 14}{res}{space 2} .3545533{col 26}{space 2} .0146561{col 37}{space 1}   24.19{col 46}{space 3}0.000{col 54}{space 4} .3256398{col 67}{space 3} .3834667
{txt}{space 1}b_urate_z_d {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 1}c_tfull_hc2 {c |}{col 14}{res}{space 2} .0150338{col 26}{space 2} .0288718{col 37}{space 1}    0.52{col 46}{space 3}0.603{col 54}{space 4}-.0419245{col 67}{space 3}  .071992
{txt}c_tfull_b_~l {c |}{col 14}{res}{space 2} .0237715{col 26}{space 2}  .033878{col 37}{space 1}    0.70{col 46}{space 3}0.484{col 54}{space 4}-.0430629{col 67}{space 3}  .090606
{txt}c_tfull_b_~s {c |}{col 14}{res}{space 2} .0295139{col 26}{space 2} .0434455{col 37}{space 1}    0.68{col 46}{space 3}0.498{col 54}{space 4}-.0561953{col 67}{space 3} .1152232
{txt}c_tfull_b_~d {c |}{col 14}{res}{space 2} .1472312{col 26}{space 2} .0420304{col 37}{space 1}    3.50{col 46}{space 3}0.001{col 54}{space 4} .0643136{col 67}{space 3} .2301488
{txt}c_tfull_ed~r {c |}{col 14}{res}{space 2}-.0114403{col 26}{space 2} .0021229{col 37}{space 1}   -5.39{col 46}{space 3}0.000{col 54}{space 4}-.0156284{col 67}{space 3}-.0072523
{txt}c_tfull_b_~x {c |}{col 14}{res}{space 2}-.0444239{col 26}{space 2} .0098167{col 37}{space 1}   -4.53{col 46}{space 3}0.000{col 54}{space 4}-.0637903{col 67}{space 3}-.0250575
{txt}{space 7}_cons {c |}{col 14}{res}{space 2}-.0199136{col 26}{space 2} .0156365{col 37}{space 1}   -1.27{col 46}{space 3}0.204{col 54}{space 4}-.0507613{col 67}{space 3} .0109341
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull = .095{p_end}

{txt}       F(  1,   186) ={res}    9.62
{txt}{col 13}Prob > F ={res}    0.0022

{p 0 7}{space 1}{text:( 1)}{space 1} treatfull = -.095{p_end}

{txt}       F(  1,   186) ={res}   31.38
{txt}{col 13}Prob > F ={res}    0.0000
{txt}note: b_urate_z_d omitted because of collinearity
{res}
{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}     7,288
{txt}{col 49}F({res}   8{txt},{res}    186{txt}){col 67}= {res}    101.14
{txt}{col 49}Prob > F{col 67}= {res}    0.0000
{txt}{col 49}R-squared{col 67}= {res}    0.2301
{txt}{col 49}Adj R-squared{col 67}= {res}    0.2277
{txt}{col 49}Root MSE{col 67}= {res}    0.6612

{txt}{ralign 78:(Std. Err. adjusted for {res:187} clusters in hc_id)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}   e_urate_z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2} .0272817{col 26}{space 2} .0218303{col 37}{space 1}    1.25{col 46}{space 3}0.213{col 54}{space 4}-.0157851{col 67}{space 3} .0703486
{txt}{space 3}b_urate_z {c |}{col 14}{res}{space 2} .3545533{col 26}{space 2} .0146561{col 37}{space 1}   24.19{col 46}{space 3}0.000{col 54}{space 4} .3256398{col 67}{space 3} .3834667
{txt}{space 1}b_urate_z_d {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 1}c_tfull_hc2 {c |}{col 14}{res}{space 2} .0150338{col 26}{space 2} .0288718{col 37}{space 1}    0.52{col 46}{space 3}0.603{col 54}{space 4}-.0419245{col 67}{space 3}  .071992
{txt}c_tfull_b_~l {c |}{col 14}{res}{space 2} .0237715{col 26}{space 2}  .033878{col 37}{space 1}    0.70{col 46}{space 3}0.484{col 54}{space 4}-.0430629{col 67}{space 3}  .090606
{txt}c_tfull_b_~s {c |}{col 14}{res}{space 2} .0295139{col 26}{space 2} .0434455{col 37}{space 1}    0.68{col 46}{space 3}0.498{col 54}{space 4}-.0561953{col 67}{space 3} .1152232
{txt}c_tfull_b_~d {c |}{col 14}{res}{space 2} .1472312{col 26}{space 2} .0420304{col 37}{space 1}    3.50{col 46}{space 3}0.001{col 54}{space 4} .0643136{col 67}{space 3} .2301488
{txt}c_tfull_ed~r {c |}{col 14}{res}{space 2}-.0114403{col 26}{space 2} .0021229{col 37}{space 1}   -5.39{col 46}{space 3}0.000{col 54}{space 4}-.0156284{col 67}{space 3}-.0072523
{txt}c_tfull_b_~x {c |}{col 14}{res}{space 2}-.0444239{col 26}{space 2} .0098167{col 37}{space 1}   -4.53{col 46}{space 3}0.000{col 54}{space 4}-.0637903{col 67}{space 3}-.0250575
{txt}{space 7}_cons {c |}{col 14}{res}{space 2}-.0199136{col 26}{space 2} .0156365{col 37}{space 1}   -1.27{col 46}{space 3}0.204{col 54}{space 4}-.0507613{col 67}{space 3} .0109341
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull = .096{p_end}

{txt}       F(  1,   186) ={res}    9.91
{txt}{col 13}Prob > F ={res}    0.0019

{p 0 7}{space 1}{text:( 1)}{space 1} treatfull = -.096{p_end}

{txt}       F(  1,   186) ={res}   31.89
{txt}{col 13}Prob > F ={res}    0.0000
{txt}note: b_urate_z_d omitted because of collinearity
{res}
{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}     7,288
{txt}{col 49}F({res}   8{txt},{res}    186{txt}){col 67}= {res}    101.14
{txt}{col 49}Prob > F{col 67}= {res}    0.0000
{txt}{col 49}R-squared{col 67}= {res}    0.2301
{txt}{col 49}Adj R-squared{col 67}= {res}    0.2277
{txt}{col 49}Root MSE{col 67}= {res}    0.6612

{txt}{ralign 78:(Std. Err. adjusted for {res:187} clusters in hc_id)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}   e_urate_z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2} .0272817{col 26}{space 2} .0218303{col 37}{space 1}    1.25{col 46}{space 3}0.213{col 54}{space 4}-.0157851{col 67}{space 3} .0703486
{txt}{space 3}b_urate_z {c |}{col 14}{res}{space 2} .3545533{col 26}{space 2} .0146561{col 37}{space 1}   24.19{col 46}{space 3}0.000{col 54}{space 4} .3256398{col 67}{space 3} .3834667
{txt}{space 1}b_urate_z_d {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 1}c_tfull_hc2 {c |}{col 14}{res}{space 2} .0150338{col 26}{space 2} .0288718{col 37}{space 1}    0.52{col 46}{space 3}0.603{col 54}{space 4}-.0419245{col 67}{space 3}  .071992
{txt}c_tfull_b_~l {c |}{col 14}{res}{space 2} .0237715{col 26}{space 2}  .033878{col 37}{space 1}    0.70{col 46}{space 3}0.484{col 54}{space 4}-.0430629{col 67}{space 3}  .090606
{txt}c_tfull_b_~s {c |}{col 14}{res}{space 2} .0295139{col 26}{space 2} .0434455{col 37}{space 1}    0.68{col 46}{space 3}0.498{col 54}{space 4}-.0561953{col 67}{space 3} .1152232
{txt}c_tfull_b_~d {c |}{col 14}{res}{space 2} .1472312{col 26}{space 2} .0420304{col 37}{space 1}    3.50{col 46}{space 3}0.001{col 54}{space 4} .0643136{col 67}{space 3} .2301488
{txt}c_tfull_ed~r {c |}{col 14}{res}{space 2}-.0114403{col 26}{space 2} .0021229{col 37}{space 1}   -5.39{col 46}{space 3}0.000{col 54}{space 4}-.0156284{col 67}{space 3}-.0072523
{txt}c_tfull_b_~x {c |}{col 14}{res}{space 2}-.0444239{col 26}{space 2} .0098167{col 37}{space 1}   -4.53{col 46}{space 3}0.000{col 54}{space 4}-.0637903{col 67}{space 3}-.0250575
{txt}{space 7}_cons {c |}{col 14}{res}{space 2}-.0199136{col 26}{space 2} .0156365{col 37}{space 1}   -1.27{col 46}{space 3}0.204{col 54}{space 4}-.0507613{col 67}{space 3} .0109341
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull = .097{p_end}

{txt}       F(  1,   186) ={res}   10.20
{txt}{col 13}Prob > F ={res}    0.0017

{p 0 7}{space 1}{text:( 1)}{space 1} treatfull = -.097{p_end}

{txt}       F(  1,   186) ={res}   32.41
{txt}{col 13}Prob > F ={res}    0.0000
{txt}note: b_urate_z_d omitted because of collinearity
{res}
{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}     7,288
{txt}{col 49}F({res}   8{txt},{res}    186{txt}){col 67}= {res}    101.14
{txt}{col 49}Prob > F{col 67}= {res}    0.0000
{txt}{col 49}R-squared{col 67}= {res}    0.2301
{txt}{col 49}Adj R-squared{col 67}= {res}    0.2277
{txt}{col 49}Root MSE{col 67}= {res}    0.6612

{txt}{ralign 78:(Std. Err. adjusted for {res:187} clusters in hc_id)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}   e_urate_z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2} .0272817{col 26}{space 2} .0218303{col 37}{space 1}    1.25{col 46}{space 3}0.213{col 54}{space 4}-.0157851{col 67}{space 3} .0703486
{txt}{space 3}b_urate_z {c |}{col 14}{res}{space 2} .3545533{col 26}{space 2} .0146561{col 37}{space 1}   24.19{col 46}{space 3}0.000{col 54}{space 4} .3256398{col 67}{space 3} .3834667
{txt}{space 1}b_urate_z_d {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 1}c_tfull_hc2 {c |}{col 14}{res}{space 2} .0150338{col 26}{space 2} .0288718{col 37}{space 1}    0.52{col 46}{space 3}0.603{col 54}{space 4}-.0419245{col 67}{space 3}  .071992
{txt}c_tfull_b_~l {c |}{col 14}{res}{space 2} .0237715{col 26}{space 2}  .033878{col 37}{space 1}    0.70{col 46}{space 3}0.484{col 54}{space 4}-.0430629{col 67}{space 3}  .090606
{txt}c_tfull_b_~s {c |}{col 14}{res}{space 2} .0295139{col 26}{space 2} .0434455{col 37}{space 1}    0.68{col 46}{space 3}0.498{col 54}{space 4}-.0561953{col 67}{space 3} .1152232
{txt}c_tfull_b_~d {c |}{col 14}{res}{space 2} .1472312{col 26}{space 2} .0420304{col 37}{space 1}    3.50{col 46}{space 3}0.001{col 54}{space 4} .0643136{col 67}{space 3} .2301488
{txt}c_tfull_ed~r {c |}{col 14}{res}{space 2}-.0114403{col 26}{space 2} .0021229{col 37}{space 1}   -5.39{col 46}{space 3}0.000{col 54}{space 4}-.0156284{col 67}{space 3}-.0072523
{txt}c_tfull_b_~x {c |}{col 14}{res}{space 2}-.0444239{col 26}{space 2} .0098167{col 37}{space 1}   -4.53{col 46}{space 3}0.000{col 54}{space 4}-.0637903{col 67}{space 3}-.0250575
{txt}{space 7}_cons {c |}{col 14}{res}{space 2}-.0199136{col 26}{space 2} .0156365{col 37}{space 1}   -1.27{col 46}{space 3}0.204{col 54}{space 4}-.0507613{col 67}{space 3} .0109341
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull = .098{p_end}

{txt}       F(  1,   186) ={res}   10.49
{txt}{col 13}Prob > F ={res}    0.0014

{p 0 7}{space 1}{text:( 1)}{space 1} treatfull = -.098{p_end}

{txt}       F(  1,   186) ={res}   32.93
{txt}{col 13}Prob > F ={res}    0.0000
{txt}note: b_urate_z_d omitted because of collinearity
{res}
{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}     7,288
{txt}{col 49}F({res}   8{txt},{res}    186{txt}){col 67}= {res}    101.14
{txt}{col 49}Prob > F{col 67}= {res}    0.0000
{txt}{col 49}R-squared{col 67}= {res}    0.2301
{txt}{col 49}Adj R-squared{col 67}= {res}    0.2277
{txt}{col 49}Root MSE{col 67}= {res}    0.6612

{txt}{ralign 78:(Std. Err. adjusted for {res:187} clusters in hc_id)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}   e_urate_z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2} .0272817{col 26}{space 2} .0218303{col 37}{space 1}    1.25{col 46}{space 3}0.213{col 54}{space 4}-.0157851{col 67}{space 3} .0703486
{txt}{space 3}b_urate_z {c |}{col 14}{res}{space 2} .3545533{col 26}{space 2} .0146561{col 37}{space 1}   24.19{col 46}{space 3}0.000{col 54}{space 4} .3256398{col 67}{space 3} .3834667
{txt}{space 1}b_urate_z_d {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 1}c_tfull_hc2 {c |}{col 14}{res}{space 2} .0150338{col 26}{space 2} .0288718{col 37}{space 1}    0.52{col 46}{space 3}0.603{col 54}{space 4}-.0419245{col 67}{space 3}  .071992
{txt}c_tfull_b_~l {c |}{col 14}{res}{space 2} .0237715{col 26}{space 2}  .033878{col 37}{space 1}    0.70{col 46}{space 3}0.484{col 54}{space 4}-.0430629{col 67}{space 3}  .090606
{txt}c_tfull_b_~s {c |}{col 14}{res}{space 2} .0295139{col 26}{space 2} .0434455{col 37}{space 1}    0.68{col 46}{space 3}0.498{col 54}{space 4}-.0561953{col 67}{space 3} .1152232
{txt}c_tfull_b_~d {c |}{col 14}{res}{space 2} .1472312{col 26}{space 2} .0420304{col 37}{space 1}    3.50{col 46}{space 3}0.001{col 54}{space 4} .0643136{col 67}{space 3} .2301488
{txt}c_tfull_ed~r {c |}{col 14}{res}{space 2}-.0114403{col 26}{space 2} .0021229{col 37}{space 1}   -5.39{col 46}{space 3}0.000{col 54}{space 4}-.0156284{col 67}{space 3}-.0072523
{txt}c_tfull_b_~x {c |}{col 14}{res}{space 2}-.0444239{col 26}{space 2} .0098167{col 37}{space 1}   -4.53{col 46}{space 3}0.000{col 54}{space 4}-.0637903{col 67}{space 3}-.0250575
{txt}{space 7}_cons {c |}{col 14}{res}{space 2}-.0199136{col 26}{space 2} .0156365{col 37}{space 1}   -1.27{col 46}{space 3}0.204{col 54}{space 4}-.0507613{col 67}{space 3} .0109341
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull = .099{p_end}

{txt}       F(  1,   186) ={res}   10.79
{txt}{col 13}Prob > F ={res}    0.0012

{p 0 7}{space 1}{text:( 1)}{space 1} treatfull = -.099{p_end}

{txt}       F(  1,   186) ={res}   33.46
{txt}{col 13}Prob > F ={res}    0.0000
{txt}note: b_urate_z_d omitted because of collinearity
{res}
{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}     7,288
{txt}{col 49}F({res}   8{txt},{res}    186{txt}){col 67}= {res}    101.14
{txt}{col 49}Prob > F{col 67}= {res}    0.0000
{txt}{col 49}R-squared{col 67}= {res}    0.2301
{txt}{col 49}Adj R-squared{col 67}= {res}    0.2277
{txt}{col 49}Root MSE{col 67}= {res}    0.6612

{txt}{ralign 78:(Std. Err. adjusted for {res:187} clusters in hc_id)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}   e_urate_z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2} .0272817{col 26}{space 2} .0218303{col 37}{space 1}    1.25{col 46}{space 3}0.213{col 54}{space 4}-.0157851{col 67}{space 3} .0703486
{txt}{space 3}b_urate_z {c |}{col 14}{res}{space 2} .3545533{col 26}{space 2} .0146561{col 37}{space 1}   24.19{col 46}{space 3}0.000{col 54}{space 4} .3256398{col 67}{space 3} .3834667
{txt}{space 1}b_urate_z_d {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 1}c_tfull_hc2 {c |}{col 14}{res}{space 2} .0150338{col 26}{space 2} .0288718{col 37}{space 1}    0.52{col 46}{space 3}0.603{col 54}{space 4}-.0419245{col 67}{space 3}  .071992
{txt}c_tfull_b_~l {c |}{col 14}{res}{space 2} .0237715{col 26}{space 2}  .033878{col 37}{space 1}    0.70{col 46}{space 3}0.484{col 54}{space 4}-.0430629{col 67}{space 3}  .090606
{txt}c_tfull_b_~s {c |}{col 14}{res}{space 2} .0295139{col 26}{space 2} .0434455{col 37}{space 1}    0.68{col 46}{space 3}0.498{col 54}{space 4}-.0561953{col 67}{space 3} .1152232
{txt}c_tfull_b_~d {c |}{col 14}{res}{space 2} .1472312{col 26}{space 2} .0420304{col 37}{space 1}    3.50{col 46}{space 3}0.001{col 54}{space 4} .0643136{col 67}{space 3} .2301488
{txt}c_tfull_ed~r {c |}{col 14}{res}{space 2}-.0114403{col 26}{space 2} .0021229{col 37}{space 1}   -5.39{col 46}{space 3}0.000{col 54}{space 4}-.0156284{col 67}{space 3}-.0072523
{txt}c_tfull_b_~x {c |}{col 14}{res}{space 2}-.0444239{col 26}{space 2} .0098167{col 37}{space 1}   -4.53{col 46}{space 3}0.000{col 54}{space 4}-.0637903{col 67}{space 3}-.0250575
{txt}{space 7}_cons {c |}{col 14}{res}{space 2}-.0199136{col 26}{space 2} .0156365{col 37}{space 1}   -1.27{col 46}{space 3}0.204{col 54}{space 4}-.0507613{col 67}{space 3} .0109341
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull = .1{p_end}

{txt}       F(  1,   186) ={res}   11.10
{txt}{col 13}Prob > F ={res}    0.0010

{p 0 7}{space 1}{text:( 1)}{space 1} treatfull = -.1{p_end}

{txt}       F(  1,   186) ={res}   33.99
{txt}{col 13}Prob > F ={res}    0.0000
{txt}note: b_urate_z_d omitted because of collinearity
{res}
{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}     7,288
{txt}{col 49}F({res}   8{txt},{res}    186{txt}){col 67}= {res}    101.14
{txt}{col 49}Prob > F{col 67}= {res}    0.0000
{txt}{col 49}R-squared{col 67}= {res}    0.2301
{txt}{col 49}Adj R-squared{col 67}= {res}    0.2277
{txt}{col 49}Root MSE{col 67}= {res}    0.6612

{txt}{ralign 78:(Std. Err. adjusted for {res:187} clusters in hc_id)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}   e_urate_z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2} .0272817{col 26}{space 2} .0218303{col 37}{space 1}    1.25{col 46}{space 3}0.213{col 54}{space 4}-.0157851{col 67}{space 3} .0703486
{txt}{space 3}b_urate_z {c |}{col 14}{res}{space 2} .3545533{col 26}{space 2} .0146561{col 37}{space 1}   24.19{col 46}{space 3}0.000{col 54}{space 4} .3256398{col 67}{space 3} .3834667
{txt}{space 1}b_urate_z_d {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 1}c_tfull_hc2 {c |}{col 14}{res}{space 2} .0150338{col 26}{space 2} .0288718{col 37}{space 1}    0.52{col 46}{space 3}0.603{col 54}{space 4}-.0419245{col 67}{space 3}  .071992
{txt}c_tfull_b_~l {c |}{col 14}{res}{space 2} .0237715{col 26}{space 2}  .033878{col 37}{space 1}    0.70{col 46}{space 3}0.484{col 54}{space 4}-.0430629{col 67}{space 3}  .090606
{txt}c_tfull_b_~s {c |}{col 14}{res}{space 2} .0295139{col 26}{space 2} .0434455{col 37}{space 1}    0.68{col 46}{space 3}0.498{col 54}{space 4}-.0561953{col 67}{space 3} .1152232
{txt}c_tfull_b_~d {c |}{col 14}{res}{space 2} .1472312{col 26}{space 2} .0420304{col 37}{space 1}    3.50{col 46}{space 3}0.001{col 54}{space 4} .0643136{col 67}{space 3} .2301488
{txt}c_tfull_ed~r {c |}{col 14}{res}{space 2}-.0114403{col 26}{space 2} .0021229{col 37}{space 1}   -5.39{col 46}{space 3}0.000{col 54}{space 4}-.0156284{col 67}{space 3}-.0072523
{txt}c_tfull_b_~x {c |}{col 14}{res}{space 2}-.0444239{col 26}{space 2} .0098167{col 37}{space 1}   -4.53{col 46}{space 3}0.000{col 54}{space 4}-.0637903{col 67}{space 3}-.0250575
{txt}{space 7}_cons {c |}{col 14}{res}{space 2}-.0199136{col 26}{space 2} .0156365{col 37}{space 1}   -1.27{col 46}{space 3}0.204{col 54}{space 4}-.0507613{col 67}{space 3} .0109341
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull = .101{p_end}

{txt}       F(  1,   186) ={res}   11.40
{txt}{col 13}Prob > F ={res}    0.0009

{p 0 7}{space 1}{text:( 1)}{space 1} treatfull = -.101{p_end}

{txt}       F(  1,   186) ={res}   34.53
{txt}{col 13}Prob > F ={res}    0.0000
{txt}note: b_urate_z_d omitted because of collinearity
{res}
{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}     7,288
{txt}{col 49}F({res}   8{txt},{res}    186{txt}){col 67}= {res}    101.14
{txt}{col 49}Prob > F{col 67}= {res}    0.0000
{txt}{col 49}R-squared{col 67}= {res}    0.2301
{txt}{col 49}Adj R-squared{col 67}= {res}    0.2277
{txt}{col 49}Root MSE{col 67}= {res}    0.6612

{txt}{ralign 78:(Std. Err. adjusted for {res:187} clusters in hc_id)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}   e_urate_z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2} .0272817{col 26}{space 2} .0218303{col 37}{space 1}    1.25{col 46}{space 3}0.213{col 54}{space 4}-.0157851{col 67}{space 3} .0703486
{txt}{space 3}b_urate_z {c |}{col 14}{res}{space 2} .3545533{col 26}{space 2} .0146561{col 37}{space 1}   24.19{col 46}{space 3}0.000{col 54}{space 4} .3256398{col 67}{space 3} .3834667
{txt}{space 1}b_urate_z_d {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 1}c_tfull_hc2 {c |}{col 14}{res}{space 2} .0150338{col 26}{space 2} .0288718{col 37}{space 1}    0.52{col 46}{space 3}0.603{col 54}{space 4}-.0419245{col 67}{space 3}  .071992
{txt}c_tfull_b_~l {c |}{col 14}{res}{space 2} .0237715{col 26}{space 2}  .033878{col 37}{space 1}    0.70{col 46}{space 3}0.484{col 54}{space 4}-.0430629{col 67}{space 3}  .090606
{txt}c_tfull_b_~s {c |}{col 14}{res}{space 2} .0295139{col 26}{space 2} .0434455{col 37}{space 1}    0.68{col 46}{space 3}0.498{col 54}{space 4}-.0561953{col 67}{space 3} .1152232
{txt}c_tfull_b_~d {c |}{col 14}{res}{space 2} .1472312{col 26}{space 2} .0420304{col 37}{space 1}    3.50{col 46}{space 3}0.001{col 54}{space 4} .0643136{col 67}{space 3} .2301488
{txt}c_tfull_ed~r {c |}{col 14}{res}{space 2}-.0114403{col 26}{space 2} .0021229{col 37}{space 1}   -5.39{col 46}{space 3}0.000{col 54}{space 4}-.0156284{col 67}{space 3}-.0072523
{txt}c_tfull_b_~x {c |}{col 14}{res}{space 2}-.0444239{col 26}{space 2} .0098167{col 37}{space 1}   -4.53{col 46}{space 3}0.000{col 54}{space 4}-.0637903{col 67}{space 3}-.0250575
{txt}{space 7}_cons {c |}{col 14}{res}{space 2}-.0199136{col 26}{space 2} .0156365{col 37}{space 1}   -1.27{col 46}{space 3}0.204{col 54}{space 4}-.0507613{col 67}{space 3} .0109341
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull = .102{p_end}

{txt}       F(  1,   186) ={res}   11.71
{txt}{col 13}Prob > F ={res}    0.0008

{p 0 7}{space 1}{text:( 1)}{space 1} treatfull = -.102{p_end}

{txt}       F(  1,   186) ={res}   35.07
{txt}{col 13}Prob > F ={res}    0.0000
{txt}note: b_urate_z_d omitted because of collinearity
{res}
{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}     7,288
{txt}{col 49}F({res}   8{txt},{res}    186{txt}){col 67}= {res}    101.14
{txt}{col 49}Prob > F{col 67}= {res}    0.0000
{txt}{col 49}R-squared{col 67}= {res}    0.2301
{txt}{col 49}Adj R-squared{col 67}= {res}    0.2277
{txt}{col 49}Root MSE{col 67}= {res}    0.6612

{txt}{ralign 78:(Std. Err. adjusted for {res:187} clusters in hc_id)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}   e_urate_z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2} .0272817{col 26}{space 2} .0218303{col 37}{space 1}    1.25{col 46}{space 3}0.213{col 54}{space 4}-.0157851{col 67}{space 3} .0703486
{txt}{space 3}b_urate_z {c |}{col 14}{res}{space 2} .3545533{col 26}{space 2} .0146561{col 37}{space 1}   24.19{col 46}{space 3}0.000{col 54}{space 4} .3256398{col 67}{space 3} .3834667
{txt}{space 1}b_urate_z_d {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 1}c_tfull_hc2 {c |}{col 14}{res}{space 2} .0150338{col 26}{space 2} .0288718{col 37}{space 1}    0.52{col 46}{space 3}0.603{col 54}{space 4}-.0419245{col 67}{space 3}  .071992
{txt}c_tfull_b_~l {c |}{col 14}{res}{space 2} .0237715{col 26}{space 2}  .033878{col 37}{space 1}    0.70{col 46}{space 3}0.484{col 54}{space 4}-.0430629{col 67}{space 3}  .090606
{txt}c_tfull_b_~s {c |}{col 14}{res}{space 2} .0295139{col 26}{space 2} .0434455{col 37}{space 1}    0.68{col 46}{space 3}0.498{col 54}{space 4}-.0561953{col 67}{space 3} .1152232
{txt}c_tfull_b_~d {c |}{col 14}{res}{space 2} .1472312{col 26}{space 2} .0420304{col 37}{space 1}    3.50{col 46}{space 3}0.001{col 54}{space 4} .0643136{col 67}{space 3} .2301488
{txt}c_tfull_ed~r {c |}{col 14}{res}{space 2}-.0114403{col 26}{space 2} .0021229{col 37}{space 1}   -5.39{col 46}{space 3}0.000{col 54}{space 4}-.0156284{col 67}{space 3}-.0072523
{txt}c_tfull_b_~x {c |}{col 14}{res}{space 2}-.0444239{col 26}{space 2} .0098167{col 37}{space 1}   -4.53{col 46}{space 3}0.000{col 54}{space 4}-.0637903{col 67}{space 3}-.0250575
{txt}{space 7}_cons {c |}{col 14}{res}{space 2}-.0199136{col 26}{space 2} .0156365{col 37}{space 1}   -1.27{col 46}{space 3}0.204{col 54}{space 4}-.0507613{col 67}{space 3} .0109341
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull = .103{p_end}

{txt}       F(  1,   186) ={res}   12.03
{txt}{col 13}Prob > F ={res}    0.0007

{p 0 7}{space 1}{text:( 1)}{space 1} treatfull = -.103{p_end}

{txt}       F(  1,   186) ={res}   35.62
{txt}{col 13}Prob > F ={res}    0.0000
{txt}note: b_urate_z_d omitted because of collinearity
{res}
{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}     7,288
{txt}{col 49}F({res}   8{txt},{res}    186{txt}){col 67}= {res}    101.14
{txt}{col 49}Prob > F{col 67}= {res}    0.0000
{txt}{col 49}R-squared{col 67}= {res}    0.2301
{txt}{col 49}Adj R-squared{col 67}= {res}    0.2277
{txt}{col 49}Root MSE{col 67}= {res}    0.6612

{txt}{ralign 78:(Std. Err. adjusted for {res:187} clusters in hc_id)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}   e_urate_z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2} .0272817{col 26}{space 2} .0218303{col 37}{space 1}    1.25{col 46}{space 3}0.213{col 54}{space 4}-.0157851{col 67}{space 3} .0703486
{txt}{space 3}b_urate_z {c |}{col 14}{res}{space 2} .3545533{col 26}{space 2} .0146561{col 37}{space 1}   24.19{col 46}{space 3}0.000{col 54}{space 4} .3256398{col 67}{space 3} .3834667
{txt}{space 1}b_urate_z_d {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 1}c_tfull_hc2 {c |}{col 14}{res}{space 2} .0150338{col 26}{space 2} .0288718{col 37}{space 1}    0.52{col 46}{space 3}0.603{col 54}{space 4}-.0419245{col 67}{space 3}  .071992
{txt}c_tfull_b_~l {c |}{col 14}{res}{space 2} .0237715{col 26}{space 2}  .033878{col 37}{space 1}    0.70{col 46}{space 3}0.484{col 54}{space 4}-.0430629{col 67}{space 3}  .090606
{txt}c_tfull_b_~s {c |}{col 14}{res}{space 2} .0295139{col 26}{space 2} .0434455{col 37}{space 1}    0.68{col 46}{space 3}0.498{col 54}{space 4}-.0561953{col 67}{space 3} .1152232
{txt}c_tfull_b_~d {c |}{col 14}{res}{space 2} .1472312{col 26}{space 2} .0420304{col 37}{space 1}    3.50{col 46}{space 3}0.001{col 54}{space 4} .0643136{col 67}{space 3} .2301488
{txt}c_tfull_ed~r {c |}{col 14}{res}{space 2}-.0114403{col 26}{space 2} .0021229{col 37}{space 1}   -5.39{col 46}{space 3}0.000{col 54}{space 4}-.0156284{col 67}{space 3}-.0072523
{txt}c_tfull_b_~x {c |}{col 14}{res}{space 2}-.0444239{col 26}{space 2} .0098167{col 37}{space 1}   -4.53{col 46}{space 3}0.000{col 54}{space 4}-.0637903{col 67}{space 3}-.0250575
{txt}{space 7}_cons {c |}{col 14}{res}{space 2}-.0199136{col 26}{space 2} .0156365{col 37}{space 1}   -1.27{col 46}{space 3}0.204{col 54}{space 4}-.0507613{col 67}{space 3} .0109341
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull = .104{p_end}

{txt}       F(  1,   186) ={res}   12.35
{txt}{col 13}Prob > F ={res}    0.0006

{p 0 7}{space 1}{text:( 1)}{space 1} treatfull = -.104{p_end}

{txt}       F(  1,   186) ={res}   36.17
{txt}{col 13}Prob > F ={res}    0.0000
{txt}note: b_urate_z_d omitted because of collinearity
{res}
{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}     7,288
{txt}{col 49}F({res}   8{txt},{res}    186{txt}){col 67}= {res}    101.14
{txt}{col 49}Prob > F{col 67}= {res}    0.0000
{txt}{col 49}R-squared{col 67}= {res}    0.2301
{txt}{col 49}Adj R-squared{col 67}= {res}    0.2277
{txt}{col 49}Root MSE{col 67}= {res}    0.6612

{txt}{ralign 78:(Std. Err. adjusted for {res:187} clusters in hc_id)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}   e_urate_z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2} .0272817{col 26}{space 2} .0218303{col 37}{space 1}    1.25{col 46}{space 3}0.213{col 54}{space 4}-.0157851{col 67}{space 3} .0703486
{txt}{space 3}b_urate_z {c |}{col 14}{res}{space 2} .3545533{col 26}{space 2} .0146561{col 37}{space 1}   24.19{col 46}{space 3}0.000{col 54}{space 4} .3256398{col 67}{space 3} .3834667
{txt}{space 1}b_urate_z_d {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 1}c_tfull_hc2 {c |}{col 14}{res}{space 2} .0150338{col 26}{space 2} .0288718{col 37}{space 1}    0.52{col 46}{space 3}0.603{col 54}{space 4}-.0419245{col 67}{space 3}  .071992
{txt}c_tfull_b_~l {c |}{col 14}{res}{space 2} .0237715{col 26}{space 2}  .033878{col 37}{space 1}    0.70{col 46}{space 3}0.484{col 54}{space 4}-.0430629{col 67}{space 3}  .090606
{txt}c_tfull_b_~s {c |}{col 14}{res}{space 2} .0295139{col 26}{space 2} .0434455{col 37}{space 1}    0.68{col 46}{space 3}0.498{col 54}{space 4}-.0561953{col 67}{space 3} .1152232
{txt}c_tfull_b_~d {c |}{col 14}{res}{space 2} .1472312{col 26}{space 2} .0420304{col 37}{space 1}    3.50{col 46}{space 3}0.001{col 54}{space 4} .0643136{col 67}{space 3} .2301488
{txt}c_tfull_ed~r {c |}{col 14}{res}{space 2}-.0114403{col 26}{space 2} .0021229{col 37}{space 1}   -5.39{col 46}{space 3}0.000{col 54}{space 4}-.0156284{col 67}{space 3}-.0072523
{txt}c_tfull_b_~x {c |}{col 14}{res}{space 2}-.0444239{col 26}{space 2} .0098167{col 37}{space 1}   -4.53{col 46}{space 3}0.000{col 54}{space 4}-.0637903{col 67}{space 3}-.0250575
{txt}{space 7}_cons {c |}{col 14}{res}{space 2}-.0199136{col 26}{space 2} .0156365{col 37}{space 1}   -1.27{col 46}{space 3}0.204{col 54}{space 4}-.0507613{col 67}{space 3} .0109341
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull = .105{p_end}

{txt}       F(  1,   186) ={res}   12.67
{txt}{col 13}Prob > F ={res}    0.0005

{p 0 7}{space 1}{text:( 1)}{space 1} treatfull = -.105{p_end}

{txt}       F(  1,   186) ={res}   36.72
{txt}{col 13}Prob > F ={res}    0.0000
{txt}note: b_urate_z_d omitted because of collinearity
{res}
{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}     7,288
{txt}{col 49}F({res}   8{txt},{res}    186{txt}){col 67}= {res}    101.14
{txt}{col 49}Prob > F{col 67}= {res}    0.0000
{txt}{col 49}R-squared{col 67}= {res}    0.2301
{txt}{col 49}Adj R-squared{col 67}= {res}    0.2277
{txt}{col 49}Root MSE{col 67}= {res}    0.6612

{txt}{ralign 78:(Std. Err. adjusted for {res:187} clusters in hc_id)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}   e_urate_z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2} .0272817{col 26}{space 2} .0218303{col 37}{space 1}    1.25{col 46}{space 3}0.213{col 54}{space 4}-.0157851{col 67}{space 3} .0703486
{txt}{space 3}b_urate_z {c |}{col 14}{res}{space 2} .3545533{col 26}{space 2} .0146561{col 37}{space 1}   24.19{col 46}{space 3}0.000{col 54}{space 4} .3256398{col 67}{space 3} .3834667
{txt}{space 1}b_urate_z_d {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 1}c_tfull_hc2 {c |}{col 14}{res}{space 2} .0150338{col 26}{space 2} .0288718{col 37}{space 1}    0.52{col 46}{space 3}0.603{col 54}{space 4}-.0419245{col 67}{space 3}  .071992
{txt}c_tfull_b_~l {c |}{col 14}{res}{space 2} .0237715{col 26}{space 2}  .033878{col 37}{space 1}    0.70{col 46}{space 3}0.484{col 54}{space 4}-.0430629{col 67}{space 3}  .090606
{txt}c_tfull_b_~s {c |}{col 14}{res}{space 2} .0295139{col 26}{space 2} .0434455{col 37}{space 1}    0.68{col 46}{space 3}0.498{col 54}{space 4}-.0561953{col 67}{space 3} .1152232
{txt}c_tfull_b_~d {c |}{col 14}{res}{space 2} .1472312{col 26}{space 2} .0420304{col 37}{space 1}    3.50{col 46}{space 3}0.001{col 54}{space 4} .0643136{col 67}{space 3} .2301488
{txt}c_tfull_ed~r {c |}{col 14}{res}{space 2}-.0114403{col 26}{space 2} .0021229{col 37}{space 1}   -5.39{col 46}{space 3}0.000{col 54}{space 4}-.0156284{col 67}{space 3}-.0072523
{txt}c_tfull_b_~x {c |}{col 14}{res}{space 2}-.0444239{col 26}{space 2} .0098167{col 37}{space 1}   -4.53{col 46}{space 3}0.000{col 54}{space 4}-.0637903{col 67}{space 3}-.0250575
{txt}{space 7}_cons {c |}{col 14}{res}{space 2}-.0199136{col 26}{space 2} .0156365{col 37}{space 1}   -1.27{col 46}{space 3}0.204{col 54}{space 4}-.0507613{col 67}{space 3} .0109341
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull = .106{p_end}

{txt}       F(  1,   186) ={res}   13.00
{txt}{col 13}Prob > F ={res}    0.0004

{p 0 7}{space 1}{text:( 1)}{space 1} treatfull = -.106{p_end}

{txt}       F(  1,   186) ={res}   37.28
{txt}{col 13}Prob > F ={res}    0.0000
{txt}note: b_urate_z_d omitted because of collinearity
{res}
{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}     7,288
{txt}{col 49}F({res}   8{txt},{res}    186{txt}){col 67}= {res}    101.14
{txt}{col 49}Prob > F{col 67}= {res}    0.0000
{txt}{col 49}R-squared{col 67}= {res}    0.2301
{txt}{col 49}Adj R-squared{col 67}= {res}    0.2277
{txt}{col 49}Root MSE{col 67}= {res}    0.6612

{txt}{ralign 78:(Std. Err. adjusted for {res:187} clusters in hc_id)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}   e_urate_z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2} .0272817{col 26}{space 2} .0218303{col 37}{space 1}    1.25{col 46}{space 3}0.213{col 54}{space 4}-.0157851{col 67}{space 3} .0703486
{txt}{space 3}b_urate_z {c |}{col 14}{res}{space 2} .3545533{col 26}{space 2} .0146561{col 37}{space 1}   24.19{col 46}{space 3}0.000{col 54}{space 4} .3256398{col 67}{space 3} .3834667
{txt}{space 1}b_urate_z_d {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 1}c_tfull_hc2 {c |}{col 14}{res}{space 2} .0150338{col 26}{space 2} .0288718{col 37}{space 1}    0.52{col 46}{space 3}0.603{col 54}{space 4}-.0419245{col 67}{space 3}  .071992
{txt}c_tfull_b_~l {c |}{col 14}{res}{space 2} .0237715{col 26}{space 2}  .033878{col 37}{space 1}    0.70{col 46}{space 3}0.484{col 54}{space 4}-.0430629{col 67}{space 3}  .090606
{txt}c_tfull_b_~s {c |}{col 14}{res}{space 2} .0295139{col 26}{space 2} .0434455{col 37}{space 1}    0.68{col 46}{space 3}0.498{col 54}{space 4}-.0561953{col 67}{space 3} .1152232
{txt}c_tfull_b_~d {c |}{col 14}{res}{space 2} .1472312{col 26}{space 2} .0420304{col 37}{space 1}    3.50{col 46}{space 3}0.001{col 54}{space 4} .0643136{col 67}{space 3} .2301488
{txt}c_tfull_ed~r {c |}{col 14}{res}{space 2}-.0114403{col 26}{space 2} .0021229{col 37}{space 1}   -5.39{col 46}{space 3}0.000{col 54}{space 4}-.0156284{col 67}{space 3}-.0072523
{txt}c_tfull_b_~x {c |}{col 14}{res}{space 2}-.0444239{col 26}{space 2} .0098167{col 37}{space 1}   -4.53{col 46}{space 3}0.000{col 54}{space 4}-.0637903{col 67}{space 3}-.0250575
{txt}{space 7}_cons {c |}{col 14}{res}{space 2}-.0199136{col 26}{space 2} .0156365{col 37}{space 1}   -1.27{col 46}{space 3}0.204{col 54}{space 4}-.0507613{col 67}{space 3} .0109341
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull = .107{p_end}

{txt}       F(  1,   186) ={res}   13.34
{txt}{col 13}Prob > F ={res}    0.0003

{p 0 7}{space 1}{text:( 1)}{space 1} treatfull = -.107{p_end}

{txt}       F(  1,   186) ={res}   37.84
{txt}{col 13}Prob > F ={res}    0.0000
{txt}note: b_urate_z_d omitted because of collinearity
{res}
{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}     7,288
{txt}{col 49}F({res}   8{txt},{res}    186{txt}){col 67}= {res}    101.14
{txt}{col 49}Prob > F{col 67}= {res}    0.0000
{txt}{col 49}R-squared{col 67}= {res}    0.2301
{txt}{col 49}Adj R-squared{col 67}= {res}    0.2277
{txt}{col 49}Root MSE{col 67}= {res}    0.6612

{txt}{ralign 78:(Std. Err. adjusted for {res:187} clusters in hc_id)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}   e_urate_z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2} .0272817{col 26}{space 2} .0218303{col 37}{space 1}    1.25{col 46}{space 3}0.213{col 54}{space 4}-.0157851{col 67}{space 3} .0703486
{txt}{space 3}b_urate_z {c |}{col 14}{res}{space 2} .3545533{col 26}{space 2} .0146561{col 37}{space 1}   24.19{col 46}{space 3}0.000{col 54}{space 4} .3256398{col 67}{space 3} .3834667
{txt}{space 1}b_urate_z_d {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 1}c_tfull_hc2 {c |}{col 14}{res}{space 2} .0150338{col 26}{space 2} .0288718{col 37}{space 1}    0.52{col 46}{space 3}0.603{col 54}{space 4}-.0419245{col 67}{space 3}  .071992
{txt}c_tfull_b_~l {c |}{col 14}{res}{space 2} .0237715{col 26}{space 2}  .033878{col 37}{space 1}    0.70{col 46}{space 3}0.484{col 54}{space 4}-.0430629{col 67}{space 3}  .090606
{txt}c_tfull_b_~s {c |}{col 14}{res}{space 2} .0295139{col 26}{space 2} .0434455{col 37}{space 1}    0.68{col 46}{space 3}0.498{col 54}{space 4}-.0561953{col 67}{space 3} .1152232
{txt}c_tfull_b_~d {c |}{col 14}{res}{space 2} .1472312{col 26}{space 2} .0420304{col 37}{space 1}    3.50{col 46}{space 3}0.001{col 54}{space 4} .0643136{col 67}{space 3} .2301488
{txt}c_tfull_ed~r {c |}{col 14}{res}{space 2}-.0114403{col 26}{space 2} .0021229{col 37}{space 1}   -5.39{col 46}{space 3}0.000{col 54}{space 4}-.0156284{col 67}{space 3}-.0072523
{txt}c_tfull_b_~x {c |}{col 14}{res}{space 2}-.0444239{col 26}{space 2} .0098167{col 37}{space 1}   -4.53{col 46}{space 3}0.000{col 54}{space 4}-.0637903{col 67}{space 3}-.0250575
{txt}{space 7}_cons {c |}{col 14}{res}{space 2}-.0199136{col 26}{space 2} .0156365{col 37}{space 1}   -1.27{col 46}{space 3}0.204{col 54}{space 4}-.0507613{col 67}{space 3} .0109341
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull = .108{p_end}

{txt}       F(  1,   186) ={res}   13.67
{txt}{col 13}Prob > F ={res}    0.0003

{p 0 7}{space 1}{text:( 1)}{space 1} treatfull = -.108{p_end}

{txt}       F(  1,   186) ={res}   38.40
{txt}{col 13}Prob > F ={res}    0.0000
{txt}note: b_urate_z_d omitted because of collinearity
{res}
{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}     7,288
{txt}{col 49}F({res}   8{txt},{res}    186{txt}){col 67}= {res}    101.14
{txt}{col 49}Prob > F{col 67}= {res}    0.0000
{txt}{col 49}R-squared{col 67}= {res}    0.2301
{txt}{col 49}Adj R-squared{col 67}= {res}    0.2277
{txt}{col 49}Root MSE{col 67}= {res}    0.6612

{txt}{ralign 78:(Std. Err. adjusted for {res:187} clusters in hc_id)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}   e_urate_z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2} .0272817{col 26}{space 2} .0218303{col 37}{space 1}    1.25{col 46}{space 3}0.213{col 54}{space 4}-.0157851{col 67}{space 3} .0703486
{txt}{space 3}b_urate_z {c |}{col 14}{res}{space 2} .3545533{col 26}{space 2} .0146561{col 37}{space 1}   24.19{col 46}{space 3}0.000{col 54}{space 4} .3256398{col 67}{space 3} .3834667
{txt}{space 1}b_urate_z_d {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 1}c_tfull_hc2 {c |}{col 14}{res}{space 2} .0150338{col 26}{space 2} .0288718{col 37}{space 1}    0.52{col 46}{space 3}0.603{col 54}{space 4}-.0419245{col 67}{space 3}  .071992
{txt}c_tfull_b_~l {c |}{col 14}{res}{space 2} .0237715{col 26}{space 2}  .033878{col 37}{space 1}    0.70{col 46}{space 3}0.484{col 54}{space 4}-.0430629{col 67}{space 3}  .090606
{txt}c_tfull_b_~s {c |}{col 14}{res}{space 2} .0295139{col 26}{space 2} .0434455{col 37}{space 1}    0.68{col 46}{space 3}0.498{col 54}{space 4}-.0561953{col 67}{space 3} .1152232
{txt}c_tfull_b_~d {c |}{col 14}{res}{space 2} .1472312{col 26}{space 2} .0420304{col 37}{space 1}    3.50{col 46}{space 3}0.001{col 54}{space 4} .0643136{col 67}{space 3} .2301488
{txt}c_tfull_ed~r {c |}{col 14}{res}{space 2}-.0114403{col 26}{space 2} .0021229{col 37}{space 1}   -5.39{col 46}{space 3}0.000{col 54}{space 4}-.0156284{col 67}{space 3}-.0072523
{txt}c_tfull_b_~x {c |}{col 14}{res}{space 2}-.0444239{col 26}{space 2} .0098167{col 37}{space 1}   -4.53{col 46}{space 3}0.000{col 54}{space 4}-.0637903{col 67}{space 3}-.0250575
{txt}{space 7}_cons {c |}{col 14}{res}{space 2}-.0199136{col 26}{space 2} .0156365{col 37}{space 1}   -1.27{col 46}{space 3}0.204{col 54}{space 4}-.0507613{col 67}{space 3} .0109341
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull = .109{p_end}

{txt}       F(  1,   186) ={res}   14.01
{txt}{col 13}Prob > F ={res}    0.0002

{p 0 7}{space 1}{text:( 1)}{space 1} treatfull = -.109{p_end}

{txt}       F(  1,   186) ={res}   38.97
{txt}{col 13}Prob > F ={res}    0.0000
{txt}note: b_urate_z_d omitted because of collinearity
{res}
{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}     7,288
{txt}{col 49}F({res}   8{txt},{res}    186{txt}){col 67}= {res}    101.14
{txt}{col 49}Prob > F{col 67}= {res}    0.0000
{txt}{col 49}R-squared{col 67}= {res}    0.2301
{txt}{col 49}Adj R-squared{col 67}= {res}    0.2277
{txt}{col 49}Root MSE{col 67}= {res}    0.6612

{txt}{ralign 78:(Std. Err. adjusted for {res:187} clusters in hc_id)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}   e_urate_z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2} .0272817{col 26}{space 2} .0218303{col 37}{space 1}    1.25{col 46}{space 3}0.213{col 54}{space 4}-.0157851{col 67}{space 3} .0703486
{txt}{space 3}b_urate_z {c |}{col 14}{res}{space 2} .3545533{col 26}{space 2} .0146561{col 37}{space 1}   24.19{col 46}{space 3}0.000{col 54}{space 4} .3256398{col 67}{space 3} .3834667
{txt}{space 1}b_urate_z_d {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 1}c_tfull_hc2 {c |}{col 14}{res}{space 2} .0150338{col 26}{space 2} .0288718{col 37}{space 1}    0.52{col 46}{space 3}0.603{col 54}{space 4}-.0419245{col 67}{space 3}  .071992
{txt}c_tfull_b_~l {c |}{col 14}{res}{space 2} .0237715{col 26}{space 2}  .033878{col 37}{space 1}    0.70{col 46}{space 3}0.484{col 54}{space 4}-.0430629{col 67}{space 3}  .090606
{txt}c_tfull_b_~s {c |}{col 14}{res}{space 2} .0295139{col 26}{space 2} .0434455{col 37}{space 1}    0.68{col 46}{space 3}0.498{col 54}{space 4}-.0561953{col 67}{space 3} .1152232
{txt}c_tfull_b_~d {c |}{col 14}{res}{space 2} .1472312{col 26}{space 2} .0420304{col 37}{space 1}    3.50{col 46}{space 3}0.001{col 54}{space 4} .0643136{col 67}{space 3} .2301488
{txt}c_tfull_ed~r {c |}{col 14}{res}{space 2}-.0114403{col 26}{space 2} .0021229{col 37}{space 1}   -5.39{col 46}{space 3}0.000{col 54}{space 4}-.0156284{col 67}{space 3}-.0072523
{txt}c_tfull_b_~x {c |}{col 14}{res}{space 2}-.0444239{col 26}{space 2} .0098167{col 37}{space 1}   -4.53{col 46}{space 3}0.000{col 54}{space 4}-.0637903{col 67}{space 3}-.0250575
{txt}{space 7}_cons {c |}{col 14}{res}{space 2}-.0199136{col 26}{space 2} .0156365{col 37}{space 1}   -1.27{col 46}{space 3}0.204{col 54}{space 4}-.0507613{col 67}{space 3} .0109341
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull = .11{p_end}

{txt}       F(  1,   186) ={res}   14.36
{txt}{col 13}Prob > F ={res}    0.0002

{p 0 7}{space 1}{text:( 1)}{space 1} treatfull = -.11{p_end}

{txt}       F(  1,   186) ={res}   39.55
{txt}{col 13}Prob > F ={res}    0.0000
{txt}note: b_urate_z_d omitted because of collinearity
{res}
{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}     7,288
{txt}{col 49}F({res}   8{txt},{res}    186{txt}){col 67}= {res}    101.14
{txt}{col 49}Prob > F{col 67}= {res}    0.0000
{txt}{col 49}R-squared{col 67}= {res}    0.2301
{txt}{col 49}Adj R-squared{col 67}= {res}    0.2277
{txt}{col 49}Root MSE{col 67}= {res}    0.6612

{txt}{ralign 78:(Std. Err. adjusted for {res:187} clusters in hc_id)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}   e_urate_z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2} .0272817{col 26}{space 2} .0218303{col 37}{space 1}    1.25{col 46}{space 3}0.213{col 54}{space 4}-.0157851{col 67}{space 3} .0703486
{txt}{space 3}b_urate_z {c |}{col 14}{res}{space 2} .3545533{col 26}{space 2} .0146561{col 37}{space 1}   24.19{col 46}{space 3}0.000{col 54}{space 4} .3256398{col 67}{space 3} .3834667
{txt}{space 1}b_urate_z_d {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 1}c_tfull_hc2 {c |}{col 14}{res}{space 2} .0150338{col 26}{space 2} .0288718{col 37}{space 1}    0.52{col 46}{space 3}0.603{col 54}{space 4}-.0419245{col 67}{space 3}  .071992
{txt}c_tfull_b_~l {c |}{col 14}{res}{space 2} .0237715{col 26}{space 2}  .033878{col 37}{space 1}    0.70{col 46}{space 3}0.484{col 54}{space 4}-.0430629{col 67}{space 3}  .090606
{txt}c_tfull_b_~s {c |}{col 14}{res}{space 2} .0295139{col 26}{space 2} .0434455{col 37}{space 1}    0.68{col 46}{space 3}0.498{col 54}{space 4}-.0561953{col 67}{space 3} .1152232
{txt}c_tfull_b_~d {c |}{col 14}{res}{space 2} .1472312{col 26}{space 2} .0420304{col 37}{space 1}    3.50{col 46}{space 3}0.001{col 54}{space 4} .0643136{col 67}{space 3} .2301488
{txt}c_tfull_ed~r {c |}{col 14}{res}{space 2}-.0114403{col 26}{space 2} .0021229{col 37}{space 1}   -5.39{col 46}{space 3}0.000{col 54}{space 4}-.0156284{col 67}{space 3}-.0072523
{txt}c_tfull_b_~x {c |}{col 14}{res}{space 2}-.0444239{col 26}{space 2} .0098167{col 37}{space 1}   -4.53{col 46}{space 3}0.000{col 54}{space 4}-.0637903{col 67}{space 3}-.0250575
{txt}{space 7}_cons {c |}{col 14}{res}{space 2}-.0199136{col 26}{space 2} .0156365{col 37}{space 1}   -1.27{col 46}{space 3}0.204{col 54}{space 4}-.0507613{col 67}{space 3} .0109341
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull = .111{p_end}

{txt}       F(  1,   186) ={res}   14.71
{txt}{col 13}Prob > F ={res}    0.0002

{p 0 7}{space 1}{text:( 1)}{space 1} treatfull = -.111{p_end}

{txt}       F(  1,   186) ={res}   40.12
{txt}{col 13}Prob > F ={res}    0.0000
{txt}note: b_urate_z_d omitted because of collinearity
{res}
{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}     7,288
{txt}{col 49}F({res}   8{txt},{res}    186{txt}){col 67}= {res}    101.14
{txt}{col 49}Prob > F{col 67}= {res}    0.0000
{txt}{col 49}R-squared{col 67}= {res}    0.2301
{txt}{col 49}Adj R-squared{col 67}= {res}    0.2277
{txt}{col 49}Root MSE{col 67}= {res}    0.6612

{txt}{ralign 78:(Std. Err. adjusted for {res:187} clusters in hc_id)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}   e_urate_z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2} .0272817{col 26}{space 2} .0218303{col 37}{space 1}    1.25{col 46}{space 3}0.213{col 54}{space 4}-.0157851{col 67}{space 3} .0703486
{txt}{space 3}b_urate_z {c |}{col 14}{res}{space 2} .3545533{col 26}{space 2} .0146561{col 37}{space 1}   24.19{col 46}{space 3}0.000{col 54}{space 4} .3256398{col 67}{space 3} .3834667
{txt}{space 1}b_urate_z_d {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 1}c_tfull_hc2 {c |}{col 14}{res}{space 2} .0150338{col 26}{space 2} .0288718{col 37}{space 1}    0.52{col 46}{space 3}0.603{col 54}{space 4}-.0419245{col 67}{space 3}  .071992
{txt}c_tfull_b_~l {c |}{col 14}{res}{space 2} .0237715{col 26}{space 2}  .033878{col 37}{space 1}    0.70{col 46}{space 3}0.484{col 54}{space 4}-.0430629{col 67}{space 3}  .090606
{txt}c_tfull_b_~s {c |}{col 14}{res}{space 2} .0295139{col 26}{space 2} .0434455{col 37}{space 1}    0.68{col 46}{space 3}0.498{col 54}{space 4}-.0561953{col 67}{space 3} .1152232
{txt}c_tfull_b_~d {c |}{col 14}{res}{space 2} .1472312{col 26}{space 2} .0420304{col 37}{space 1}    3.50{col 46}{space 3}0.001{col 54}{space 4} .0643136{col 67}{space 3} .2301488
{txt}c_tfull_ed~r {c |}{col 14}{res}{space 2}-.0114403{col 26}{space 2} .0021229{col 37}{space 1}   -5.39{col 46}{space 3}0.000{col 54}{space 4}-.0156284{col 67}{space 3}-.0072523
{txt}c_tfull_b_~x {c |}{col 14}{res}{space 2}-.0444239{col 26}{space 2} .0098167{col 37}{space 1}   -4.53{col 46}{space 3}0.000{col 54}{space 4}-.0637903{col 67}{space 3}-.0250575
{txt}{space 7}_cons {c |}{col 14}{res}{space 2}-.0199136{col 26}{space 2} .0156365{col 37}{space 1}   -1.27{col 46}{space 3}0.204{col 54}{space 4}-.0507613{col 67}{space 3} .0109341
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull = .112{p_end}

{txt}       F(  1,   186) ={res}   15.06
{txt}{col 13}Prob > F ={res}    0.0001

{p 0 7}{space 1}{text:( 1)}{space 1} treatfull = -.112{p_end}

{txt}       F(  1,   186) ={res}   40.71
{txt}{col 13}Prob > F ={res}    0.0000
{txt}note: b_urate_z_d omitted because of collinearity
{res}
{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}     7,288
{txt}{col 49}F({res}   8{txt},{res}    186{txt}){col 67}= {res}    101.14
{txt}{col 49}Prob > F{col 67}= {res}    0.0000
{txt}{col 49}R-squared{col 67}= {res}    0.2301
{txt}{col 49}Adj R-squared{col 67}= {res}    0.2277
{txt}{col 49}Root MSE{col 67}= {res}    0.6612

{txt}{ralign 78:(Std. Err. adjusted for {res:187} clusters in hc_id)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}   e_urate_z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2} .0272817{col 26}{space 2} .0218303{col 37}{space 1}    1.25{col 46}{space 3}0.213{col 54}{space 4}-.0157851{col 67}{space 3} .0703486
{txt}{space 3}b_urate_z {c |}{col 14}{res}{space 2} .3545533{col 26}{space 2} .0146561{col 37}{space 1}   24.19{col 46}{space 3}0.000{col 54}{space 4} .3256398{col 67}{space 3} .3834667
{txt}{space 1}b_urate_z_d {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 1}c_tfull_hc2 {c |}{col 14}{res}{space 2} .0150338{col 26}{space 2} .0288718{col 37}{space 1}    0.52{col 46}{space 3}0.603{col 54}{space 4}-.0419245{col 67}{space 3}  .071992
{txt}c_tfull_b_~l {c |}{col 14}{res}{space 2} .0237715{col 26}{space 2}  .033878{col 37}{space 1}    0.70{col 46}{space 3}0.484{col 54}{space 4}-.0430629{col 67}{space 3}  .090606
{txt}c_tfull_b_~s {c |}{col 14}{res}{space 2} .0295139{col 26}{space 2} .0434455{col 37}{space 1}    0.68{col 46}{space 3}0.498{col 54}{space 4}-.0561953{col 67}{space 3} .1152232
{txt}c_tfull_b_~d {c |}{col 14}{res}{space 2} .1472312{col 26}{space 2} .0420304{col 37}{space 1}    3.50{col 46}{space 3}0.001{col 54}{space 4} .0643136{col 67}{space 3} .2301488
{txt}c_tfull_ed~r {c |}{col 14}{res}{space 2}-.0114403{col 26}{space 2} .0021229{col 37}{space 1}   -5.39{col 46}{space 3}0.000{col 54}{space 4}-.0156284{col 67}{space 3}-.0072523
{txt}c_tfull_b_~x {c |}{col 14}{res}{space 2}-.0444239{col 26}{space 2} .0098167{col 37}{space 1}   -4.53{col 46}{space 3}0.000{col 54}{space 4}-.0637903{col 67}{space 3}-.0250575
{txt}{space 7}_cons {c |}{col 14}{res}{space 2}-.0199136{col 26}{space 2} .0156365{col 37}{space 1}   -1.27{col 46}{space 3}0.204{col 54}{space 4}-.0507613{col 67}{space 3} .0109341
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull = .113{p_end}

{txt}       F(  1,   186) ={res}   15.42
{txt}{col 13}Prob > F ={res}    0.0001

{p 0 7}{space 1}{text:( 1)}{space 1} treatfull = -.113{p_end}

{txt}       F(  1,   186) ={res}   41.29
{txt}{col 13}Prob > F ={res}    0.0000
{txt}note: b_urate_z_d omitted because of collinearity
{res}
{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}     7,288
{txt}{col 49}F({res}   8{txt},{res}    186{txt}){col 67}= {res}    101.14
{txt}{col 49}Prob > F{col 67}= {res}    0.0000
{txt}{col 49}R-squared{col 67}= {res}    0.2301
{txt}{col 49}Adj R-squared{col 67}= {res}    0.2277
{txt}{col 49}Root MSE{col 67}= {res}    0.6612

{txt}{ralign 78:(Std. Err. adjusted for {res:187} clusters in hc_id)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}   e_urate_z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2} .0272817{col 26}{space 2} .0218303{col 37}{space 1}    1.25{col 46}{space 3}0.213{col 54}{space 4}-.0157851{col 67}{space 3} .0703486
{txt}{space 3}b_urate_z {c |}{col 14}{res}{space 2} .3545533{col 26}{space 2} .0146561{col 37}{space 1}   24.19{col 46}{space 3}0.000{col 54}{space 4} .3256398{col 67}{space 3} .3834667
{txt}{space 1}b_urate_z_d {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 1}c_tfull_hc2 {c |}{col 14}{res}{space 2} .0150338{col 26}{space 2} .0288718{col 37}{space 1}    0.52{col 46}{space 3}0.603{col 54}{space 4}-.0419245{col 67}{space 3}  .071992
{txt}c_tfull_b_~l {c |}{col 14}{res}{space 2} .0237715{col 26}{space 2}  .033878{col 37}{space 1}    0.70{col 46}{space 3}0.484{col 54}{space 4}-.0430629{col 67}{space 3}  .090606
{txt}c_tfull_b_~s {c |}{col 14}{res}{space 2} .0295139{col 26}{space 2} .0434455{col 37}{space 1}    0.68{col 46}{space 3}0.498{col 54}{space 4}-.0561953{col 67}{space 3} .1152232
{txt}c_tfull_b_~d {c |}{col 14}{res}{space 2} .1472312{col 26}{space 2} .0420304{col 37}{space 1}    3.50{col 46}{space 3}0.001{col 54}{space 4} .0643136{col 67}{space 3} .2301488
{txt}c_tfull_ed~r {c |}{col 14}{res}{space 2}-.0114403{col 26}{space 2} .0021229{col 37}{space 1}   -5.39{col 46}{space 3}0.000{col 54}{space 4}-.0156284{col 67}{space 3}-.0072523
{txt}c_tfull_b_~x {c |}{col 14}{res}{space 2}-.0444239{col 26}{space 2} .0098167{col 37}{space 1}   -4.53{col 46}{space 3}0.000{col 54}{space 4}-.0637903{col 67}{space 3}-.0250575
{txt}{space 7}_cons {c |}{col 14}{res}{space 2}-.0199136{col 26}{space 2} .0156365{col 37}{space 1}   -1.27{col 46}{space 3}0.204{col 54}{space 4}-.0507613{col 67}{space 3} .0109341
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull = .114{p_end}

{txt}       F(  1,   186) ={res}   15.78
{txt}{col 13}Prob > F ={res}    0.0001

{p 0 7}{space 1}{text:( 1)}{space 1} treatfull = -.114{p_end}

{txt}       F(  1,   186) ={res}   41.88
{txt}{col 13}Prob > F ={res}    0.0000
{txt}note: b_urate_z_d omitted because of collinearity
{res}
{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}     7,288
{txt}{col 49}F({res}   8{txt},{res}    186{txt}){col 67}= {res}    101.14
{txt}{col 49}Prob > F{col 67}= {res}    0.0000
{txt}{col 49}R-squared{col 67}= {res}    0.2301
{txt}{col 49}Adj R-squared{col 67}= {res}    0.2277
{txt}{col 49}Root MSE{col 67}= {res}    0.6612

{txt}{ralign 78:(Std. Err. adjusted for {res:187} clusters in hc_id)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}   e_urate_z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2} .0272817{col 26}{space 2} .0218303{col 37}{space 1}    1.25{col 46}{space 3}0.213{col 54}{space 4}-.0157851{col 67}{space 3} .0703486
{txt}{space 3}b_urate_z {c |}{col 14}{res}{space 2} .3545533{col 26}{space 2} .0146561{col 37}{space 1}   24.19{col 46}{space 3}0.000{col 54}{space 4} .3256398{col 67}{space 3} .3834667
{txt}{space 1}b_urate_z_d {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 1}c_tfull_hc2 {c |}{col 14}{res}{space 2} .0150338{col 26}{space 2} .0288718{col 37}{space 1}    0.52{col 46}{space 3}0.603{col 54}{space 4}-.0419245{col 67}{space 3}  .071992
{txt}c_tfull_b_~l {c |}{col 14}{res}{space 2} .0237715{col 26}{space 2}  .033878{col 37}{space 1}    0.70{col 46}{space 3}0.484{col 54}{space 4}-.0430629{col 67}{space 3}  .090606
{txt}c_tfull_b_~s {c |}{col 14}{res}{space 2} .0295139{col 26}{space 2} .0434455{col 37}{space 1}    0.68{col 46}{space 3}0.498{col 54}{space 4}-.0561953{col 67}{space 3} .1152232
{txt}c_tfull_b_~d {c |}{col 14}{res}{space 2} .1472312{col 26}{space 2} .0420304{col 37}{space 1}    3.50{col 46}{space 3}0.001{col 54}{space 4} .0643136{col 67}{space 3} .2301488
{txt}c_tfull_ed~r {c |}{col 14}{res}{space 2}-.0114403{col 26}{space 2} .0021229{col 37}{space 1}   -5.39{col 46}{space 3}0.000{col 54}{space 4}-.0156284{col 67}{space 3}-.0072523
{txt}c_tfull_b_~x {c |}{col 14}{res}{space 2}-.0444239{col 26}{space 2} .0098167{col 37}{space 1}   -4.53{col 46}{space 3}0.000{col 54}{space 4}-.0637903{col 67}{space 3}-.0250575
{txt}{space 7}_cons {c |}{col 14}{res}{space 2}-.0199136{col 26}{space 2} .0156365{col 37}{space 1}   -1.27{col 46}{space 3}0.204{col 54}{space 4}-.0507613{col 67}{space 3} .0109341
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull = .115{p_end}

{txt}       F(  1,   186) ={res}   16.15
{txt}{col 13}Prob > F ={res}    0.0001

{p 0 7}{space 1}{text:( 1)}{space 1} treatfull = -.115{p_end}

{txt}       F(  1,   186) ={res}   42.48
{txt}{col 13}Prob > F ={res}    0.0000
{txt}note: b_urate_z_d omitted because of collinearity
{res}
{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}     7,288
{txt}{col 49}F({res}   8{txt},{res}    186{txt}){col 67}= {res}    101.14
{txt}{col 49}Prob > F{col 67}= {res}    0.0000
{txt}{col 49}R-squared{col 67}= {res}    0.2301
{txt}{col 49}Adj R-squared{col 67}= {res}    0.2277
{txt}{col 49}Root MSE{col 67}= {res}    0.6612

{txt}{ralign 78:(Std. Err. adjusted for {res:187} clusters in hc_id)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}   e_urate_z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2} .0272817{col 26}{space 2} .0218303{col 37}{space 1}    1.25{col 46}{space 3}0.213{col 54}{space 4}-.0157851{col 67}{space 3} .0703486
{txt}{space 3}b_urate_z {c |}{col 14}{res}{space 2} .3545533{col 26}{space 2} .0146561{col 37}{space 1}   24.19{col 46}{space 3}0.000{col 54}{space 4} .3256398{col 67}{space 3} .3834667
{txt}{space 1}b_urate_z_d {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 1}c_tfull_hc2 {c |}{col 14}{res}{space 2} .0150338{col 26}{space 2} .0288718{col 37}{space 1}    0.52{col 46}{space 3}0.603{col 54}{space 4}-.0419245{col 67}{space 3}  .071992
{txt}c_tfull_b_~l {c |}{col 14}{res}{space 2} .0237715{col 26}{space 2}  .033878{col 37}{space 1}    0.70{col 46}{space 3}0.484{col 54}{space 4}-.0430629{col 67}{space 3}  .090606
{txt}c_tfull_b_~s {c |}{col 14}{res}{space 2} .0295139{col 26}{space 2} .0434455{col 37}{space 1}    0.68{col 46}{space 3}0.498{col 54}{space 4}-.0561953{col 67}{space 3} .1152232
{txt}c_tfull_b_~d {c |}{col 14}{res}{space 2} .1472312{col 26}{space 2} .0420304{col 37}{space 1}    3.50{col 46}{space 3}0.001{col 54}{space 4} .0643136{col 67}{space 3} .2301488
{txt}c_tfull_ed~r {c |}{col 14}{res}{space 2}-.0114403{col 26}{space 2} .0021229{col 37}{space 1}   -5.39{col 46}{space 3}0.000{col 54}{space 4}-.0156284{col 67}{space 3}-.0072523
{txt}c_tfull_b_~x {c |}{col 14}{res}{space 2}-.0444239{col 26}{space 2} .0098167{col 37}{space 1}   -4.53{col 46}{space 3}0.000{col 54}{space 4}-.0637903{col 67}{space 3}-.0250575
{txt}{space 7}_cons {c |}{col 14}{res}{space 2}-.0199136{col 26}{space 2} .0156365{col 37}{space 1}   -1.27{col 46}{space 3}0.204{col 54}{space 4}-.0507613{col 67}{space 3} .0109341
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull = .116{p_end}

{txt}       F(  1,   186) ={res}   16.52
{txt}{col 13}Prob > F ={res}    0.0001

{p 0 7}{space 1}{text:( 1)}{space 1} treatfull = -.116{p_end}

{txt}       F(  1,   186) ={res}   43.08
{txt}{col 13}Prob > F ={res}    0.0000
{txt}note: b_urate_z_d omitted because of collinearity
{res}
{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}     7,288
{txt}{col 49}F({res}   8{txt},{res}    186{txt}){col 67}= {res}    101.14
{txt}{col 49}Prob > F{col 67}= {res}    0.0000
{txt}{col 49}R-squared{col 67}= {res}    0.2301
{txt}{col 49}Adj R-squared{col 67}= {res}    0.2277
{txt}{col 49}Root MSE{col 67}= {res}    0.6612

{txt}{ralign 78:(Std. Err. adjusted for {res:187} clusters in hc_id)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}   e_urate_z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2} .0272817{col 26}{space 2} .0218303{col 37}{space 1}    1.25{col 46}{space 3}0.213{col 54}{space 4}-.0157851{col 67}{space 3} .0703486
{txt}{space 3}b_urate_z {c |}{col 14}{res}{space 2} .3545533{col 26}{space 2} .0146561{col 37}{space 1}   24.19{col 46}{space 3}0.000{col 54}{space 4} .3256398{col 67}{space 3} .3834667
{txt}{space 1}b_urate_z_d {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 1}c_tfull_hc2 {c |}{col 14}{res}{space 2} .0150338{col 26}{space 2} .0288718{col 37}{space 1}    0.52{col 46}{space 3}0.603{col 54}{space 4}-.0419245{col 67}{space 3}  .071992
{txt}c_tfull_b_~l {c |}{col 14}{res}{space 2} .0237715{col 26}{space 2}  .033878{col 37}{space 1}    0.70{col 46}{space 3}0.484{col 54}{space 4}-.0430629{col 67}{space 3}  .090606
{txt}c_tfull_b_~s {c |}{col 14}{res}{space 2} .0295139{col 26}{space 2} .0434455{col 37}{space 1}    0.68{col 46}{space 3}0.498{col 54}{space 4}-.0561953{col 67}{space 3} .1152232
{txt}c_tfull_b_~d {c |}{col 14}{res}{space 2} .1472312{col 26}{space 2} .0420304{col 37}{space 1}    3.50{col 46}{space 3}0.001{col 54}{space 4} .0643136{col 67}{space 3} .2301488
{txt}c_tfull_ed~r {c |}{col 14}{res}{space 2}-.0114403{col 26}{space 2} .0021229{col 37}{space 1}   -5.39{col 46}{space 3}0.000{col 54}{space 4}-.0156284{col 67}{space 3}-.0072523
{txt}c_tfull_b_~x {c |}{col 14}{res}{space 2}-.0444239{col 26}{space 2} .0098167{col 37}{space 1}   -4.53{col 46}{space 3}0.000{col 54}{space 4}-.0637903{col 67}{space 3}-.0250575
{txt}{space 7}_cons {c |}{col 14}{res}{space 2}-.0199136{col 26}{space 2} .0156365{col 37}{space 1}   -1.27{col 46}{space 3}0.204{col 54}{space 4}-.0507613{col 67}{space 3} .0109341
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull = .117{p_end}

{txt}       F(  1,   186) ={res}   16.89
{txt}{col 13}Prob > F ={res}    0.0001

{p 0 7}{space 1}{text:( 1)}{space 1} treatfull = -.117{p_end}

{txt}       F(  1,   186) ={res}   43.68
{txt}{col 13}Prob > F ={res}    0.0000
{txt}note: b_urate_z_d omitted because of collinearity
{res}
{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}     7,288
{txt}{col 49}F({res}   8{txt},{res}    186{txt}){col 67}= {res}    101.14
{txt}{col 49}Prob > F{col 67}= {res}    0.0000
{txt}{col 49}R-squared{col 67}= {res}    0.2301
{txt}{col 49}Adj R-squared{col 67}= {res}    0.2277
{txt}{col 49}Root MSE{col 67}= {res}    0.6612

{txt}{ralign 78:(Std. Err. adjusted for {res:187} clusters in hc_id)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}   e_urate_z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2} .0272817{col 26}{space 2} .0218303{col 37}{space 1}    1.25{col 46}{space 3}0.213{col 54}{space 4}-.0157851{col 67}{space 3} .0703486
{txt}{space 3}b_urate_z {c |}{col 14}{res}{space 2} .3545533{col 26}{space 2} .0146561{col 37}{space 1}   24.19{col 46}{space 3}0.000{col 54}{space 4} .3256398{col 67}{space 3} .3834667
{txt}{space 1}b_urate_z_d {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 1}c_tfull_hc2 {c |}{col 14}{res}{space 2} .0150338{col 26}{space 2} .0288718{col 37}{space 1}    0.52{col 46}{space 3}0.603{col 54}{space 4}-.0419245{col 67}{space 3}  .071992
{txt}c_tfull_b_~l {c |}{col 14}{res}{space 2} .0237715{col 26}{space 2}  .033878{col 37}{space 1}    0.70{col 46}{space 3}0.484{col 54}{space 4}-.0430629{col 67}{space 3}  .090606
{txt}c_tfull_b_~s {c |}{col 14}{res}{space 2} .0295139{col 26}{space 2} .0434455{col 37}{space 1}    0.68{col 46}{space 3}0.498{col 54}{space 4}-.0561953{col 67}{space 3} .1152232
{txt}c_tfull_b_~d {c |}{col 14}{res}{space 2} .1472312{col 26}{space 2} .0420304{col 37}{space 1}    3.50{col 46}{space 3}0.001{col 54}{space 4} .0643136{col 67}{space 3} .2301488
{txt}c_tfull_ed~r {c |}{col 14}{res}{space 2}-.0114403{col 26}{space 2} .0021229{col 37}{space 1}   -5.39{col 46}{space 3}0.000{col 54}{space 4}-.0156284{col 67}{space 3}-.0072523
{txt}c_tfull_b_~x {c |}{col 14}{res}{space 2}-.0444239{col 26}{space 2} .0098167{col 37}{space 1}   -4.53{col 46}{space 3}0.000{col 54}{space 4}-.0637903{col 67}{space 3}-.0250575
{txt}{space 7}_cons {c |}{col 14}{res}{space 2}-.0199136{col 26}{space 2} .0156365{col 37}{space 1}   -1.27{col 46}{space 3}0.204{col 54}{space 4}-.0507613{col 67}{space 3} .0109341
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull = .118{p_end}

{txt}       F(  1,   186) ={res}   17.27
{txt}{col 13}Prob > F ={res}    0.0000

{p 0 7}{space 1}{text:( 1)}{space 1} treatfull = -.118{p_end}

{txt}       F(  1,   186) ={res}   44.29
{txt}{col 13}Prob > F ={res}    0.0000
{txt}note: b_urate_z_d omitted because of collinearity
{res}
{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}     7,288
{txt}{col 49}F({res}   8{txt},{res}    186{txt}){col 67}= {res}    101.14
{txt}{col 49}Prob > F{col 67}= {res}    0.0000
{txt}{col 49}R-squared{col 67}= {res}    0.2301
{txt}{col 49}Adj R-squared{col 67}= {res}    0.2277
{txt}{col 49}Root MSE{col 67}= {res}    0.6612

{txt}{ralign 78:(Std. Err. adjusted for {res:187} clusters in hc_id)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}   e_urate_z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2} .0272817{col 26}{space 2} .0218303{col 37}{space 1}    1.25{col 46}{space 3}0.213{col 54}{space 4}-.0157851{col 67}{space 3} .0703486
{txt}{space 3}b_urate_z {c |}{col 14}{res}{space 2} .3545533{col 26}{space 2} .0146561{col 37}{space 1}   24.19{col 46}{space 3}0.000{col 54}{space 4} .3256398{col 67}{space 3} .3834667
{txt}{space 1}b_urate_z_d {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 1}c_tfull_hc2 {c |}{col 14}{res}{space 2} .0150338{col 26}{space 2} .0288718{col 37}{space 1}    0.52{col 46}{space 3}0.603{col 54}{space 4}-.0419245{col 67}{space 3}  .071992
{txt}c_tfull_b_~l {c |}{col 14}{res}{space 2} .0237715{col 26}{space 2}  .033878{col 37}{space 1}    0.70{col 46}{space 3}0.484{col 54}{space 4}-.0430629{col 67}{space 3}  .090606
{txt}c_tfull_b_~s {c |}{col 14}{res}{space 2} .0295139{col 26}{space 2} .0434455{col 37}{space 1}    0.68{col 46}{space 3}0.498{col 54}{space 4}-.0561953{col 67}{space 3} .1152232
{txt}c_tfull_b_~d {c |}{col 14}{res}{space 2} .1472312{col 26}{space 2} .0420304{col 37}{space 1}    3.50{col 46}{space 3}0.001{col 54}{space 4} .0643136{col 67}{space 3} .2301488
{txt}c_tfull_ed~r {c |}{col 14}{res}{space 2}-.0114403{col 26}{space 2} .0021229{col 37}{space 1}   -5.39{col 46}{space 3}0.000{col 54}{space 4}-.0156284{col 67}{space 3}-.0072523
{txt}c_tfull_b_~x {c |}{col 14}{res}{space 2}-.0444239{col 26}{space 2} .0098167{col 37}{space 1}   -4.53{col 46}{space 3}0.000{col 54}{space 4}-.0637903{col 67}{space 3}-.0250575
{txt}{space 7}_cons {c |}{col 14}{res}{space 2}-.0199136{col 26}{space 2} .0156365{col 37}{space 1}   -1.27{col 46}{space 3}0.204{col 54}{space 4}-.0507613{col 67}{space 3} .0109341
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull = .119{p_end}

{txt}       F(  1,   186) ={res}   17.65
{txt}{col 13}Prob > F ={res}    0.0000

{p 0 7}{space 1}{text:( 1)}{space 1} treatfull = -.119{p_end}

{txt}       F(  1,   186) ={res}   44.90
{txt}{col 13}Prob > F ={res}    0.0000
{txt}note: b_urate_z_d omitted because of collinearity
{res}
{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}     7,288
{txt}{col 49}F({res}   8{txt},{res}    186{txt}){col 67}= {res}    101.14
{txt}{col 49}Prob > F{col 67}= {res}    0.0000
{txt}{col 49}R-squared{col 67}= {res}    0.2301
{txt}{col 49}Adj R-squared{col 67}= {res}    0.2277
{txt}{col 49}Root MSE{col 67}= {res}    0.6612

{txt}{ralign 78:(Std. Err. adjusted for {res:187} clusters in hc_id)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}   e_urate_z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2} .0272817{col 26}{space 2} .0218303{col 37}{space 1}    1.25{col 46}{space 3}0.213{col 54}{space 4}-.0157851{col 67}{space 3} .0703486
{txt}{space 3}b_urate_z {c |}{col 14}{res}{space 2} .3545533{col 26}{space 2} .0146561{col 37}{space 1}   24.19{col 46}{space 3}0.000{col 54}{space 4} .3256398{col 67}{space 3} .3834667
{txt}{space 1}b_urate_z_d {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 1}c_tfull_hc2 {c |}{col 14}{res}{space 2} .0150338{col 26}{space 2} .0288718{col 37}{space 1}    0.52{col 46}{space 3}0.603{col 54}{space 4}-.0419245{col 67}{space 3}  .071992
{txt}c_tfull_b_~l {c |}{col 14}{res}{space 2} .0237715{col 26}{space 2}  .033878{col 37}{space 1}    0.70{col 46}{space 3}0.484{col 54}{space 4}-.0430629{col 67}{space 3}  .090606
{txt}c_tfull_b_~s {c |}{col 14}{res}{space 2} .0295139{col 26}{space 2} .0434455{col 37}{space 1}    0.68{col 46}{space 3}0.498{col 54}{space 4}-.0561953{col 67}{space 3} .1152232
{txt}c_tfull_b_~d {c |}{col 14}{res}{space 2} .1472312{col 26}{space 2} .0420304{col 37}{space 1}    3.50{col 46}{space 3}0.001{col 54}{space 4} .0643136{col 67}{space 3} .2301488
{txt}c_tfull_ed~r {c |}{col 14}{res}{space 2}-.0114403{col 26}{space 2} .0021229{col 37}{space 1}   -5.39{col 46}{space 3}0.000{col 54}{space 4}-.0156284{col 67}{space 3}-.0072523
{txt}c_tfull_b_~x {c |}{col 14}{res}{space 2}-.0444239{col 26}{space 2} .0098167{col 37}{space 1}   -4.53{col 46}{space 3}0.000{col 54}{space 4}-.0637903{col 67}{space 3}-.0250575
{txt}{space 7}_cons {c |}{col 14}{res}{space 2}-.0199136{col 26}{space 2} .0156365{col 37}{space 1}   -1.27{col 46}{space 3}0.204{col 54}{space 4}-.0507613{col 67}{space 3} .0109341
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull = .12{p_end}

{txt}       F(  1,   186) ={res}   18.04
{txt}{col 13}Prob > F ={res}    0.0000

{p 0 7}{space 1}{text:( 1)}{space 1} treatfull = -.12{p_end}

{txt}       F(  1,   186) ={res}   45.52
{txt}{col 13}Prob > F ={res}    0.0000
{txt}note: b_urate_z_d omitted because of collinearity
{res}
{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}     7,288
{txt}{col 49}F({res}   8{txt},{res}    186{txt}){col 67}= {res}    101.14
{txt}{col 49}Prob > F{col 67}= {res}    0.0000
{txt}{col 49}R-squared{col 67}= {res}    0.2301
{txt}{col 49}Adj R-squared{col 67}= {res}    0.2277
{txt}{col 49}Root MSE{col 67}= {res}    0.6612

{txt}{ralign 78:(Std. Err. adjusted for {res:187} clusters in hc_id)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}   e_urate_z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2} .0272817{col 26}{space 2} .0218303{col 37}{space 1}    1.25{col 46}{space 3}0.213{col 54}{space 4}-.0157851{col 67}{space 3} .0703486
{txt}{space 3}b_urate_z {c |}{col 14}{res}{space 2} .3545533{col 26}{space 2} .0146561{col 37}{space 1}   24.19{col 46}{space 3}0.000{col 54}{space 4} .3256398{col 67}{space 3} .3834667
{txt}{space 1}b_urate_z_d {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 1}c_tfull_hc2 {c |}{col 14}{res}{space 2} .0150338{col 26}{space 2} .0288718{col 37}{space 1}    0.52{col 46}{space 3}0.603{col 54}{space 4}-.0419245{col 67}{space 3}  .071992
{txt}c_tfull_b_~l {c |}{col 14}{res}{space 2} .0237715{col 26}{space 2}  .033878{col 37}{space 1}    0.70{col 46}{space 3}0.484{col 54}{space 4}-.0430629{col 67}{space 3}  .090606
{txt}c_tfull_b_~s {c |}{col 14}{res}{space 2} .0295139{col 26}{space 2} .0434455{col 37}{space 1}    0.68{col 46}{space 3}0.498{col 54}{space 4}-.0561953{col 67}{space 3} .1152232
{txt}c_tfull_b_~d {c |}{col 14}{res}{space 2} .1472312{col 26}{space 2} .0420304{col 37}{space 1}    3.50{col 46}{space 3}0.001{col 54}{space 4} .0643136{col 67}{space 3} .2301488
{txt}c_tfull_ed~r {c |}{col 14}{res}{space 2}-.0114403{col 26}{space 2} .0021229{col 37}{space 1}   -5.39{col 46}{space 3}0.000{col 54}{space 4}-.0156284{col 67}{space 3}-.0072523
{txt}c_tfull_b_~x {c |}{col 14}{res}{space 2}-.0444239{col 26}{space 2} .0098167{col 37}{space 1}   -4.53{col 46}{space 3}0.000{col 54}{space 4}-.0637903{col 67}{space 3}-.0250575
{txt}{space 7}_cons {c |}{col 14}{res}{space 2}-.0199136{col 26}{space 2} .0156365{col 37}{space 1}   -1.27{col 46}{space 3}0.204{col 54}{space 4}-.0507613{col 67}{space 3} .0109341
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull = .121{p_end}

{txt}       F(  1,   186) ={res}   18.43
{txt}{col 13}Prob > F ={res}    0.0000

{p 0 7}{space 1}{text:( 1)}{space 1} treatfull = -.121{p_end}

{txt}       F(  1,   186) ={res}   46.14
{txt}{col 13}Prob > F ={res}    0.0000
{txt}note: b_urate_z_d omitted because of collinearity
{res}
{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}     7,288
{txt}{col 49}F({res}   8{txt},{res}    186{txt}){col 67}= {res}    101.14
{txt}{col 49}Prob > F{col 67}= {res}    0.0000
{txt}{col 49}R-squared{col 67}= {res}    0.2301
{txt}{col 49}Adj R-squared{col 67}= {res}    0.2277
{txt}{col 49}Root MSE{col 67}= {res}    0.6612

{txt}{ralign 78:(Std. Err. adjusted for {res:187} clusters in hc_id)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}   e_urate_z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2} .0272817{col 26}{space 2} .0218303{col 37}{space 1}    1.25{col 46}{space 3}0.213{col 54}{space 4}-.0157851{col 67}{space 3} .0703486
{txt}{space 3}b_urate_z {c |}{col 14}{res}{space 2} .3545533{col 26}{space 2} .0146561{col 37}{space 1}   24.19{col 46}{space 3}0.000{col 54}{space 4} .3256398{col 67}{space 3} .3834667
{txt}{space 1}b_urate_z_d {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 1}c_tfull_hc2 {c |}{col 14}{res}{space 2} .0150338{col 26}{space 2} .0288718{col 37}{space 1}    0.52{col 46}{space 3}0.603{col 54}{space 4}-.0419245{col 67}{space 3}  .071992
{txt}c_tfull_b_~l {c |}{col 14}{res}{space 2} .0237715{col 26}{space 2}  .033878{col 37}{space 1}    0.70{col 46}{space 3}0.484{col 54}{space 4}-.0430629{col 67}{space 3}  .090606
{txt}c_tfull_b_~s {c |}{col 14}{res}{space 2} .0295139{col 26}{space 2} .0434455{col 37}{space 1}    0.68{col 46}{space 3}0.498{col 54}{space 4}-.0561953{col 67}{space 3} .1152232
{txt}c_tfull_b_~d {c |}{col 14}{res}{space 2} .1472312{col 26}{space 2} .0420304{col 37}{space 1}    3.50{col 46}{space 3}0.001{col 54}{space 4} .0643136{col 67}{space 3} .2301488
{txt}c_tfull_ed~r {c |}{col 14}{res}{space 2}-.0114403{col 26}{space 2} .0021229{col 37}{space 1}   -5.39{col 46}{space 3}0.000{col 54}{space 4}-.0156284{col 67}{space 3}-.0072523
{txt}c_tfull_b_~x {c |}{col 14}{res}{space 2}-.0444239{col 26}{space 2} .0098167{col 37}{space 1}   -4.53{col 46}{space 3}0.000{col 54}{space 4}-.0637903{col 67}{space 3}-.0250575
{txt}{space 7}_cons {c |}{col 14}{res}{space 2}-.0199136{col 26}{space 2} .0156365{col 37}{space 1}   -1.27{col 46}{space 3}0.204{col 54}{space 4}-.0507613{col 67}{space 3} .0109341
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull = .122{p_end}

{txt}       F(  1,   186) ={res}   18.83
{txt}{col 13}Prob > F ={res}    0.0000

{p 0 7}{space 1}{text:( 1)}{space 1} treatfull = -.122{p_end}

{txt}       F(  1,   186) ={res}   46.76
{txt}{col 13}Prob > F ={res}    0.0000
{txt}note: b_urate_z_d omitted because of collinearity
{res}
{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}     7,288
{txt}{col 49}F({res}   8{txt},{res}    186{txt}){col 67}= {res}    101.14
{txt}{col 49}Prob > F{col 67}= {res}    0.0000
{txt}{col 49}R-squared{col 67}= {res}    0.2301
{txt}{col 49}Adj R-squared{col 67}= {res}    0.2277
{txt}{col 49}Root MSE{col 67}= {res}    0.6612

{txt}{ralign 78:(Std. Err. adjusted for {res:187} clusters in hc_id)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}   e_urate_z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2} .0272817{col 26}{space 2} .0218303{col 37}{space 1}    1.25{col 46}{space 3}0.213{col 54}{space 4}-.0157851{col 67}{space 3} .0703486
{txt}{space 3}b_urate_z {c |}{col 14}{res}{space 2} .3545533{col 26}{space 2} .0146561{col 37}{space 1}   24.19{col 46}{space 3}0.000{col 54}{space 4} .3256398{col 67}{space 3} .3834667
{txt}{space 1}b_urate_z_d {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 1}c_tfull_hc2 {c |}{col 14}{res}{space 2} .0150338{col 26}{space 2} .0288718{col 37}{space 1}    0.52{col 46}{space 3}0.603{col 54}{space 4}-.0419245{col 67}{space 3}  .071992
{txt}c_tfull_b_~l {c |}{col 14}{res}{space 2} .0237715{col 26}{space 2}  .033878{col 37}{space 1}    0.70{col 46}{space 3}0.484{col 54}{space 4}-.0430629{col 67}{space 3}  .090606
{txt}c_tfull_b_~s {c |}{col 14}{res}{space 2} .0295139{col 26}{space 2} .0434455{col 37}{space 1}    0.68{col 46}{space 3}0.498{col 54}{space 4}-.0561953{col 67}{space 3} .1152232
{txt}c_tfull_b_~d {c |}{col 14}{res}{space 2} .1472312{col 26}{space 2} .0420304{col 37}{space 1}    3.50{col 46}{space 3}0.001{col 54}{space 4} .0643136{col 67}{space 3} .2301488
{txt}c_tfull_ed~r {c |}{col 14}{res}{space 2}-.0114403{col 26}{space 2} .0021229{col 37}{space 1}   -5.39{col 46}{space 3}0.000{col 54}{space 4}-.0156284{col 67}{space 3}-.0072523
{txt}c_tfull_b_~x {c |}{col 14}{res}{space 2}-.0444239{col 26}{space 2} .0098167{col 37}{space 1}   -4.53{col 46}{space 3}0.000{col 54}{space 4}-.0637903{col 67}{space 3}-.0250575
{txt}{space 7}_cons {c |}{col 14}{res}{space 2}-.0199136{col 26}{space 2} .0156365{col 37}{space 1}   -1.27{col 46}{space 3}0.204{col 54}{space 4}-.0507613{col 67}{space 3} .0109341
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull = .123{p_end}

{txt}       F(  1,   186) ={res}   19.23
{txt}{col 13}Prob > F ={res}    0.0000

{p 0 7}{space 1}{text:( 1)}{space 1} treatfull = -.123{p_end}

{txt}       F(  1,   186) ={res}   47.39
{txt}{col 13}Prob > F ={res}    0.0000
{txt}note: b_urate_z_d omitted because of collinearity
{res}
{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}     7,288
{txt}{col 49}F({res}   8{txt},{res}    186{txt}){col 67}= {res}    101.14
{txt}{col 49}Prob > F{col 67}= {res}    0.0000
{txt}{col 49}R-squared{col 67}= {res}    0.2301
{txt}{col 49}Adj R-squared{col 67}= {res}    0.2277
{txt}{col 49}Root MSE{col 67}= {res}    0.6612

{txt}{ralign 78:(Std. Err. adjusted for {res:187} clusters in hc_id)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}   e_urate_z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2} .0272817{col 26}{space 2} .0218303{col 37}{space 1}    1.25{col 46}{space 3}0.213{col 54}{space 4}-.0157851{col 67}{space 3} .0703486
{txt}{space 3}b_urate_z {c |}{col 14}{res}{space 2} .3545533{col 26}{space 2} .0146561{col 37}{space 1}   24.19{col 46}{space 3}0.000{col 54}{space 4} .3256398{col 67}{space 3} .3834667
{txt}{space 1}b_urate_z_d {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 1}c_tfull_hc2 {c |}{col 14}{res}{space 2} .0150338{col 26}{space 2} .0288718{col 37}{space 1}    0.52{col 46}{space 3}0.603{col 54}{space 4}-.0419245{col 67}{space 3}  .071992
{txt}c_tfull_b_~l {c |}{col 14}{res}{space 2} .0237715{col 26}{space 2}  .033878{col 37}{space 1}    0.70{col 46}{space 3}0.484{col 54}{space 4}-.0430629{col 67}{space 3}  .090606
{txt}c_tfull_b_~s {c |}{col 14}{res}{space 2} .0295139{col 26}{space 2} .0434455{col 37}{space 1}    0.68{col 46}{space 3}0.498{col 54}{space 4}-.0561953{col 67}{space 3} .1152232
{txt}c_tfull_b_~d {c |}{col 14}{res}{space 2} .1472312{col 26}{space 2} .0420304{col 37}{space 1}    3.50{col 46}{space 3}0.001{col 54}{space 4} .0643136{col 67}{space 3} .2301488
{txt}c_tfull_ed~r {c |}{col 14}{res}{space 2}-.0114403{col 26}{space 2} .0021229{col 37}{space 1}   -5.39{col 46}{space 3}0.000{col 54}{space 4}-.0156284{col 67}{space 3}-.0072523
{txt}c_tfull_b_~x {c |}{col 14}{res}{space 2}-.0444239{col 26}{space 2} .0098167{col 37}{space 1}   -4.53{col 46}{space 3}0.000{col 54}{space 4}-.0637903{col 67}{space 3}-.0250575
{txt}{space 7}_cons {c |}{col 14}{res}{space 2}-.0199136{col 26}{space 2} .0156365{col 37}{space 1}   -1.27{col 46}{space 3}0.204{col 54}{space 4}-.0507613{col 67}{space 3} .0109341
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull = .124{p_end}

{txt}       F(  1,   186) ={res}   19.63
{txt}{col 13}Prob > F ={res}    0.0000

{p 0 7}{space 1}{text:( 1)}{space 1} treatfull = -.124{p_end}

{txt}       F(  1,   186) ={res}   48.02
{txt}{col 13}Prob > F ={res}    0.0000
{txt}note: b_urate_z_d omitted because of collinearity
{res}
{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}     7,288
{txt}{col 49}F({res}   8{txt},{res}    186{txt}){col 67}= {res}    101.14
{txt}{col 49}Prob > F{col 67}= {res}    0.0000
{txt}{col 49}R-squared{col 67}= {res}    0.2301
{txt}{col 49}Adj R-squared{col 67}= {res}    0.2277
{txt}{col 49}Root MSE{col 67}= {res}    0.6612

{txt}{ralign 78:(Std. Err. adjusted for {res:187} clusters in hc_id)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}   e_urate_z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2} .0272817{col 26}{space 2} .0218303{col 37}{space 1}    1.25{col 46}{space 3}0.213{col 54}{space 4}-.0157851{col 67}{space 3} .0703486
{txt}{space 3}b_urate_z {c |}{col 14}{res}{space 2} .3545533{col 26}{space 2} .0146561{col 37}{space 1}   24.19{col 46}{space 3}0.000{col 54}{space 4} .3256398{col 67}{space 3} .3834667
{txt}{space 1}b_urate_z_d {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 1}c_tfull_hc2 {c |}{col 14}{res}{space 2} .0150338{col 26}{space 2} .0288718{col 37}{space 1}    0.52{col 46}{space 3}0.603{col 54}{space 4}-.0419245{col 67}{space 3}  .071992
{txt}c_tfull_b_~l {c |}{col 14}{res}{space 2} .0237715{col 26}{space 2}  .033878{col 37}{space 1}    0.70{col 46}{space 3}0.484{col 54}{space 4}-.0430629{col 67}{space 3}  .090606
{txt}c_tfull_b_~s {c |}{col 14}{res}{space 2} .0295139{col 26}{space 2} .0434455{col 37}{space 1}    0.68{col 46}{space 3}0.498{col 54}{space 4}-.0561953{col 67}{space 3} .1152232
{txt}c_tfull_b_~d {c |}{col 14}{res}{space 2} .1472312{col 26}{space 2} .0420304{col 37}{space 1}    3.50{col 46}{space 3}0.001{col 54}{space 4} .0643136{col 67}{space 3} .2301488
{txt}c_tfull_ed~r {c |}{col 14}{res}{space 2}-.0114403{col 26}{space 2} .0021229{col 37}{space 1}   -5.39{col 46}{space 3}0.000{col 54}{space 4}-.0156284{col 67}{space 3}-.0072523
{txt}c_tfull_b_~x {c |}{col 14}{res}{space 2}-.0444239{col 26}{space 2} .0098167{col 37}{space 1}   -4.53{col 46}{space 3}0.000{col 54}{space 4}-.0637903{col 67}{space 3}-.0250575
{txt}{space 7}_cons {c |}{col 14}{res}{space 2}-.0199136{col 26}{space 2} .0156365{col 37}{space 1}   -1.27{col 46}{space 3}0.204{col 54}{space 4}-.0507613{col 67}{space 3} .0109341
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull = .125{p_end}

{txt}       F(  1,   186) ={res}   20.04
{txt}{col 13}Prob > F ={res}    0.0000

{p 0 7}{space 1}{text:( 1)}{space 1} treatfull = -.125{p_end}

{txt}       F(  1,   186) ={res}   48.66
{txt}{col 13}Prob > F ={res}    0.0000
{txt}note: b_urate_z_d omitted because of collinearity
{res}
{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}     7,288
{txt}{col 49}F({res}   8{txt},{res}    186{txt}){col 67}= {res}    101.14
{txt}{col 49}Prob > F{col 67}= {res}    0.0000
{txt}{col 49}R-squared{col 67}= {res}    0.2301
{txt}{col 49}Adj R-squared{col 67}= {res}    0.2277
{txt}{col 49}Root MSE{col 67}= {res}    0.6612

{txt}{ralign 78:(Std. Err. adjusted for {res:187} clusters in hc_id)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}   e_urate_z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2} .0272817{col 26}{space 2} .0218303{col 37}{space 1}    1.25{col 46}{space 3}0.213{col 54}{space 4}-.0157851{col 67}{space 3} .0703486
{txt}{space 3}b_urate_z {c |}{col 14}{res}{space 2} .3545533{col 26}{space 2} .0146561{col 37}{space 1}   24.19{col 46}{space 3}0.000{col 54}{space 4} .3256398{col 67}{space 3} .3834667
{txt}{space 1}b_urate_z_d {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 1}c_tfull_hc2 {c |}{col 14}{res}{space 2} .0150338{col 26}{space 2} .0288718{col 37}{space 1}    0.52{col 46}{space 3}0.603{col 54}{space 4}-.0419245{col 67}{space 3}  .071992
{txt}c_tfull_b_~l {c |}{col 14}{res}{space 2} .0237715{col 26}{space 2}  .033878{col 37}{space 1}    0.70{col 46}{space 3}0.484{col 54}{space 4}-.0430629{col 67}{space 3}  .090606
{txt}c_tfull_b_~s {c |}{col 14}{res}{space 2} .0295139{col 26}{space 2} .0434455{col 37}{space 1}    0.68{col 46}{space 3}0.498{col 54}{space 4}-.0561953{col 67}{space 3} .1152232
{txt}c_tfull_b_~d {c |}{col 14}{res}{space 2} .1472312{col 26}{space 2} .0420304{col 37}{space 1}    3.50{col 46}{space 3}0.001{col 54}{space 4} .0643136{col 67}{space 3} .2301488
{txt}c_tfull_ed~r {c |}{col 14}{res}{space 2}-.0114403{col 26}{space 2} .0021229{col 37}{space 1}   -5.39{col 46}{space 3}0.000{col 54}{space 4}-.0156284{col 67}{space 3}-.0072523
{txt}c_tfull_b_~x {c |}{col 14}{res}{space 2}-.0444239{col 26}{space 2} .0098167{col 37}{space 1}   -4.53{col 46}{space 3}0.000{col 54}{space 4}-.0637903{col 67}{space 3}-.0250575
{txt}{space 7}_cons {c |}{col 14}{res}{space 2}-.0199136{col 26}{space 2} .0156365{col 37}{space 1}   -1.27{col 46}{space 3}0.204{col 54}{space 4}-.0507613{col 67}{space 3} .0109341
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull = .126{p_end}

{txt}       F(  1,   186) ={res}   20.45
{txt}{col 13}Prob > F ={res}    0.0000

{p 0 7}{space 1}{text:( 1)}{space 1} treatfull = -.126{p_end}

{txt}       F(  1,   186) ={res}   49.30
{txt}{col 13}Prob > F ={res}    0.0000
{txt}note: b_urate_z_d omitted because of collinearity
{res}
{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}     7,288
{txt}{col 49}F({res}   8{txt},{res}    186{txt}){col 67}= {res}    101.14
{txt}{col 49}Prob > F{col 67}= {res}    0.0000
{txt}{col 49}R-squared{col 67}= {res}    0.2301
{txt}{col 49}Adj R-squared{col 67}= {res}    0.2277
{txt}{col 49}Root MSE{col 67}= {res}    0.6612

{txt}{ralign 78:(Std. Err. adjusted for {res:187} clusters in hc_id)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}   e_urate_z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2} .0272817{col 26}{space 2} .0218303{col 37}{space 1}    1.25{col 46}{space 3}0.213{col 54}{space 4}-.0157851{col 67}{space 3} .0703486
{txt}{space 3}b_urate_z {c |}{col 14}{res}{space 2} .3545533{col 26}{space 2} .0146561{col 37}{space 1}   24.19{col 46}{space 3}0.000{col 54}{space 4} .3256398{col 67}{space 3} .3834667
{txt}{space 1}b_urate_z_d {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 1}c_tfull_hc2 {c |}{col 14}{res}{space 2} .0150338{col 26}{space 2} .0288718{col 37}{space 1}    0.52{col 46}{space 3}0.603{col 54}{space 4}-.0419245{col 67}{space 3}  .071992
{txt}c_tfull_b_~l {c |}{col 14}{res}{space 2} .0237715{col 26}{space 2}  .033878{col 37}{space 1}    0.70{col 46}{space 3}0.484{col 54}{space 4}-.0430629{col 67}{space 3}  .090606
{txt}c_tfull_b_~s {c |}{col 14}{res}{space 2} .0295139{col 26}{space 2} .0434455{col 37}{space 1}    0.68{col 46}{space 3}0.498{col 54}{space 4}-.0561953{col 67}{space 3} .1152232
{txt}c_tfull_b_~d {c |}{col 14}{res}{space 2} .1472312{col 26}{space 2} .0420304{col 37}{space 1}    3.50{col 46}{space 3}0.001{col 54}{space 4} .0643136{col 67}{space 3} .2301488
{txt}c_tfull_ed~r {c |}{col 14}{res}{space 2}-.0114403{col 26}{space 2} .0021229{col 37}{space 1}   -5.39{col 46}{space 3}0.000{col 54}{space 4}-.0156284{col 67}{space 3}-.0072523
{txt}c_tfull_b_~x {c |}{col 14}{res}{space 2}-.0444239{col 26}{space 2} .0098167{col 37}{space 1}   -4.53{col 46}{space 3}0.000{col 54}{space 4}-.0637903{col 67}{space 3}-.0250575
{txt}{space 7}_cons {c |}{col 14}{res}{space 2}-.0199136{col 26}{space 2} .0156365{col 37}{space 1}   -1.27{col 46}{space 3}0.204{col 54}{space 4}-.0507613{col 67}{space 3} .0109341
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull = .127{p_end}

{txt}       F(  1,   186) ={res}   20.87
{txt}{col 13}Prob > F ={res}    0.0000

{p 0 7}{space 1}{text:( 1)}{space 1} treatfull = -.127{p_end}

{txt}       F(  1,   186) ={res}   49.95
{txt}{col 13}Prob > F ={res}    0.0000
{txt}note: b_urate_z_d omitted because of collinearity
{res}
{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}     7,288
{txt}{col 49}F({res}   8{txt},{res}    186{txt}){col 67}= {res}    101.14
{txt}{col 49}Prob > F{col 67}= {res}    0.0000
{txt}{col 49}R-squared{col 67}= {res}    0.2301
{txt}{col 49}Adj R-squared{col 67}= {res}    0.2277
{txt}{col 49}Root MSE{col 67}= {res}    0.6612

{txt}{ralign 78:(Std. Err. adjusted for {res:187} clusters in hc_id)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}   e_urate_z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2} .0272817{col 26}{space 2} .0218303{col 37}{space 1}    1.25{col 46}{space 3}0.213{col 54}{space 4}-.0157851{col 67}{space 3} .0703486
{txt}{space 3}b_urate_z {c |}{col 14}{res}{space 2} .3545533{col 26}{space 2} .0146561{col 37}{space 1}   24.19{col 46}{space 3}0.000{col 54}{space 4} .3256398{col 67}{space 3} .3834667
{txt}{space 1}b_urate_z_d {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 1}c_tfull_hc2 {c |}{col 14}{res}{space 2} .0150338{col 26}{space 2} .0288718{col 37}{space 1}    0.52{col 46}{space 3}0.603{col 54}{space 4}-.0419245{col 67}{space 3}  .071992
{txt}c_tfull_b_~l {c |}{col 14}{res}{space 2} .0237715{col 26}{space 2}  .033878{col 37}{space 1}    0.70{col 46}{space 3}0.484{col 54}{space 4}-.0430629{col 67}{space 3}  .090606
{txt}c_tfull_b_~s {c |}{col 14}{res}{space 2} .0295139{col 26}{space 2} .0434455{col 37}{space 1}    0.68{col 46}{space 3}0.498{col 54}{space 4}-.0561953{col 67}{space 3} .1152232
{txt}c_tfull_b_~d {c |}{col 14}{res}{space 2} .1472312{col 26}{space 2} .0420304{col 37}{space 1}    3.50{col 46}{space 3}0.001{col 54}{space 4} .0643136{col 67}{space 3} .2301488
{txt}c_tfull_ed~r {c |}{col 14}{res}{space 2}-.0114403{col 26}{space 2} .0021229{col 37}{space 1}   -5.39{col 46}{space 3}0.000{col 54}{space 4}-.0156284{col 67}{space 3}-.0072523
{txt}c_tfull_b_~x {c |}{col 14}{res}{space 2}-.0444239{col 26}{space 2} .0098167{col 37}{space 1}   -4.53{col 46}{space 3}0.000{col 54}{space 4}-.0637903{col 67}{space 3}-.0250575
{txt}{space 7}_cons {c |}{col 14}{res}{space 2}-.0199136{col 26}{space 2} .0156365{col 37}{space 1}   -1.27{col 46}{space 3}0.204{col 54}{space 4}-.0507613{col 67}{space 3} .0109341
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull = .128{p_end}

{txt}       F(  1,   186) ={res}   21.29
{txt}{col 13}Prob > F ={res}    0.0000

{p 0 7}{space 1}{text:( 1)}{space 1} treatfull = -.128{p_end}

{txt}       F(  1,   186) ={res}   50.60
{txt}{col 13}Prob > F ={res}    0.0000
{txt}note: b_urate_z_d omitted because of collinearity
{res}
{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}     7,288
{txt}{col 49}F({res}   8{txt},{res}    186{txt}){col 67}= {res}    101.14
{txt}{col 49}Prob > F{col 67}= {res}    0.0000
{txt}{col 49}R-squared{col 67}= {res}    0.2301
{txt}{col 49}Adj R-squared{col 67}= {res}    0.2277
{txt}{col 49}Root MSE{col 67}= {res}    0.6612

{txt}{ralign 78:(Std. Err. adjusted for {res:187} clusters in hc_id)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}   e_urate_z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2} .0272817{col 26}{space 2} .0218303{col 37}{space 1}    1.25{col 46}{space 3}0.213{col 54}{space 4}-.0157851{col 67}{space 3} .0703486
{txt}{space 3}b_urate_z {c |}{col 14}{res}{space 2} .3545533{col 26}{space 2} .0146561{col 37}{space 1}   24.19{col 46}{space 3}0.000{col 54}{space 4} .3256398{col 67}{space 3} .3834667
{txt}{space 1}b_urate_z_d {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 1}c_tfull_hc2 {c |}{col 14}{res}{space 2} .0150338{col 26}{space 2} .0288718{col 37}{space 1}    0.52{col 46}{space 3}0.603{col 54}{space 4}-.0419245{col 67}{space 3}  .071992
{txt}c_tfull_b_~l {c |}{col 14}{res}{space 2} .0237715{col 26}{space 2}  .033878{col 37}{space 1}    0.70{col 46}{space 3}0.484{col 54}{space 4}-.0430629{col 67}{space 3}  .090606
{txt}c_tfull_b_~s {c |}{col 14}{res}{space 2} .0295139{col 26}{space 2} .0434455{col 37}{space 1}    0.68{col 46}{space 3}0.498{col 54}{space 4}-.0561953{col 67}{space 3} .1152232
{txt}c_tfull_b_~d {c |}{col 14}{res}{space 2} .1472312{col 26}{space 2} .0420304{col 37}{space 1}    3.50{col 46}{space 3}0.001{col 54}{space 4} .0643136{col 67}{space 3} .2301488
{txt}c_tfull_ed~r {c |}{col 14}{res}{space 2}-.0114403{col 26}{space 2} .0021229{col 37}{space 1}   -5.39{col 46}{space 3}0.000{col 54}{space 4}-.0156284{col 67}{space 3}-.0072523
{txt}c_tfull_b_~x {c |}{col 14}{res}{space 2}-.0444239{col 26}{space 2} .0098167{col 37}{space 1}   -4.53{col 46}{space 3}0.000{col 54}{space 4}-.0637903{col 67}{space 3}-.0250575
{txt}{space 7}_cons {c |}{col 14}{res}{space 2}-.0199136{col 26}{space 2} .0156365{col 37}{space 1}   -1.27{col 46}{space 3}0.204{col 54}{space 4}-.0507613{col 67}{space 3} .0109341
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull = .129{p_end}

{txt}       F(  1,   186) ={res}   21.71
{txt}{col 13}Prob > F ={res}    0.0000

{p 0 7}{space 1}{text:( 1)}{space 1} treatfull = -.129{p_end}

{txt}       F(  1,   186) ={res}   51.25
{txt}{col 13}Prob > F ={res}    0.0000
{txt}note: b_urate_z_d omitted because of collinearity
{res}
{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}     7,288
{txt}{col 49}F({res}   8{txt},{res}    186{txt}){col 67}= {res}    101.14
{txt}{col 49}Prob > F{col 67}= {res}    0.0000
{txt}{col 49}R-squared{col 67}= {res}    0.2301
{txt}{col 49}Adj R-squared{col 67}= {res}    0.2277
{txt}{col 49}Root MSE{col 67}= {res}    0.6612

{txt}{ralign 78:(Std. Err. adjusted for {res:187} clusters in hc_id)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}   e_urate_z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2} .0272817{col 26}{space 2} .0218303{col 37}{space 1}    1.25{col 46}{space 3}0.213{col 54}{space 4}-.0157851{col 67}{space 3} .0703486
{txt}{space 3}b_urate_z {c |}{col 14}{res}{space 2} .3545533{col 26}{space 2} .0146561{col 37}{space 1}   24.19{col 46}{space 3}0.000{col 54}{space 4} .3256398{col 67}{space 3} .3834667
{txt}{space 1}b_urate_z_d {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 1}c_tfull_hc2 {c |}{col 14}{res}{space 2} .0150338{col 26}{space 2} .0288718{col 37}{space 1}    0.52{col 46}{space 3}0.603{col 54}{space 4}-.0419245{col 67}{space 3}  .071992
{txt}c_tfull_b_~l {c |}{col 14}{res}{space 2} .0237715{col 26}{space 2}  .033878{col 37}{space 1}    0.70{col 46}{space 3}0.484{col 54}{space 4}-.0430629{col 67}{space 3}  .090606
{txt}c_tfull_b_~s {c |}{col 14}{res}{space 2} .0295139{col 26}{space 2} .0434455{col 37}{space 1}    0.68{col 46}{space 3}0.498{col 54}{space 4}-.0561953{col 67}{space 3} .1152232
{txt}c_tfull_b_~d {c |}{col 14}{res}{space 2} .1472312{col 26}{space 2} .0420304{col 37}{space 1}    3.50{col 46}{space 3}0.001{col 54}{space 4} .0643136{col 67}{space 3} .2301488
{txt}c_tfull_ed~r {c |}{col 14}{res}{space 2}-.0114403{col 26}{space 2} .0021229{col 37}{space 1}   -5.39{col 46}{space 3}0.000{col 54}{space 4}-.0156284{col 67}{space 3}-.0072523
{txt}c_tfull_b_~x {c |}{col 14}{res}{space 2}-.0444239{col 26}{space 2} .0098167{col 37}{space 1}   -4.53{col 46}{space 3}0.000{col 54}{space 4}-.0637903{col 67}{space 3}-.0250575
{txt}{space 7}_cons {c |}{col 14}{res}{space 2}-.0199136{col 26}{space 2} .0156365{col 37}{space 1}   -1.27{col 46}{space 3}0.204{col 54}{space 4}-.0507613{col 67}{space 3} .0109341
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull = .13{p_end}

{txt}       F(  1,   186) ={res}   22.14
{txt}{col 13}Prob > F ={res}    0.0000

{p 0 7}{space 1}{text:( 1)}{space 1} treatfull = -.13{p_end}

{txt}       F(  1,   186) ={res}   51.91
{txt}{col 13}Prob > F ={res}    0.0000
{txt}note: b_urate_z_d omitted because of collinearity
{res}
{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}     7,288
{txt}{col 49}F({res}   8{txt},{res}    186{txt}){col 67}= {res}    101.14
{txt}{col 49}Prob > F{col 67}= {res}    0.0000
{txt}{col 49}R-squared{col 67}= {res}    0.2301
{txt}{col 49}Adj R-squared{col 67}= {res}    0.2277
{txt}{col 49}Root MSE{col 67}= {res}    0.6612

{txt}{ralign 78:(Std. Err. adjusted for {res:187} clusters in hc_id)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}   e_urate_z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2} .0272817{col 26}{space 2} .0218303{col 37}{space 1}    1.25{col 46}{space 3}0.213{col 54}{space 4}-.0157851{col 67}{space 3} .0703486
{txt}{space 3}b_urate_z {c |}{col 14}{res}{space 2} .3545533{col 26}{space 2} .0146561{col 37}{space 1}   24.19{col 46}{space 3}0.000{col 54}{space 4} .3256398{col 67}{space 3} .3834667
{txt}{space 1}b_urate_z_d {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 1}c_tfull_hc2 {c |}{col 14}{res}{space 2} .0150338{col 26}{space 2} .0288718{col 37}{space 1}    0.52{col 46}{space 3}0.603{col 54}{space 4}-.0419245{col 67}{space 3}  .071992
{txt}c_tfull_b_~l {c |}{col 14}{res}{space 2} .0237715{col 26}{space 2}  .033878{col 37}{space 1}    0.70{col 46}{space 3}0.484{col 54}{space 4}-.0430629{col 67}{space 3}  .090606
{txt}c_tfull_b_~s {c |}{col 14}{res}{space 2} .0295139{col 26}{space 2} .0434455{col 37}{space 1}    0.68{col 46}{space 3}0.498{col 54}{space 4}-.0561953{col 67}{space 3} .1152232
{txt}c_tfull_b_~d {c |}{col 14}{res}{space 2} .1472312{col 26}{space 2} .0420304{col 37}{space 1}    3.50{col 46}{space 3}0.001{col 54}{space 4} .0643136{col 67}{space 3} .2301488
{txt}c_tfull_ed~r {c |}{col 14}{res}{space 2}-.0114403{col 26}{space 2} .0021229{col 37}{space 1}   -5.39{col 46}{space 3}0.000{col 54}{space 4}-.0156284{col 67}{space 3}-.0072523
{txt}c_tfull_b_~x {c |}{col 14}{res}{space 2}-.0444239{col 26}{space 2} .0098167{col 37}{space 1}   -4.53{col 46}{space 3}0.000{col 54}{space 4}-.0637903{col 67}{space 3}-.0250575
{txt}{space 7}_cons {c |}{col 14}{res}{space 2}-.0199136{col 26}{space 2} .0156365{col 37}{space 1}   -1.27{col 46}{space 3}0.204{col 54}{space 4}-.0507613{col 67}{space 3} .0109341
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull = .131{p_end}

{txt}       F(  1,   186) ={res}   22.57
{txt}{col 13}Prob > F ={res}    0.0000

{p 0 7}{space 1}{text:( 1)}{space 1} treatfull = -.131{p_end}

{txt}       F(  1,   186) ={res}   52.57
{txt}{col 13}Prob > F ={res}    0.0000
{txt}note: b_urate_z_d omitted because of collinearity
{res}
{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}     7,288
{txt}{col 49}F({res}   8{txt},{res}    186{txt}){col 67}= {res}    101.14
{txt}{col 49}Prob > F{col 67}= {res}    0.0000
{txt}{col 49}R-squared{col 67}= {res}    0.2301
{txt}{col 49}Adj R-squared{col 67}= {res}    0.2277
{txt}{col 49}Root MSE{col 67}= {res}    0.6612

{txt}{ralign 78:(Std. Err. adjusted for {res:187} clusters in hc_id)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}   e_urate_z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2} .0272817{col 26}{space 2} .0218303{col 37}{space 1}    1.25{col 46}{space 3}0.213{col 54}{space 4}-.0157851{col 67}{space 3} .0703486
{txt}{space 3}b_urate_z {c |}{col 14}{res}{space 2} .3545533{col 26}{space 2} .0146561{col 37}{space 1}   24.19{col 46}{space 3}0.000{col 54}{space 4} .3256398{col 67}{space 3} .3834667
{txt}{space 1}b_urate_z_d {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 1}c_tfull_hc2 {c |}{col 14}{res}{space 2} .0150338{col 26}{space 2} .0288718{col 37}{space 1}    0.52{col 46}{space 3}0.603{col 54}{space 4}-.0419245{col 67}{space 3}  .071992
{txt}c_tfull_b_~l {c |}{col 14}{res}{space 2} .0237715{col 26}{space 2}  .033878{col 37}{space 1}    0.70{col 46}{space 3}0.484{col 54}{space 4}-.0430629{col 67}{space 3}  .090606
{txt}c_tfull_b_~s {c |}{col 14}{res}{space 2} .0295139{col 26}{space 2} .0434455{col 37}{space 1}    0.68{col 46}{space 3}0.498{col 54}{space 4}-.0561953{col 67}{space 3} .1152232
{txt}c_tfull_b_~d {c |}{col 14}{res}{space 2} .1472312{col 26}{space 2} .0420304{col 37}{space 1}    3.50{col 46}{space 3}0.001{col 54}{space 4} .0643136{col 67}{space 3} .2301488
{txt}c_tfull_ed~r {c |}{col 14}{res}{space 2}-.0114403{col 26}{space 2} .0021229{col 37}{space 1}   -5.39{col 46}{space 3}0.000{col 54}{space 4}-.0156284{col 67}{space 3}-.0072523
{txt}c_tfull_b_~x {c |}{col 14}{res}{space 2}-.0444239{col 26}{space 2} .0098167{col 37}{space 1}   -4.53{col 46}{space 3}0.000{col 54}{space 4}-.0637903{col 67}{space 3}-.0250575
{txt}{space 7}_cons {c |}{col 14}{res}{space 2}-.0199136{col 26}{space 2} .0156365{col 37}{space 1}   -1.27{col 46}{space 3}0.204{col 54}{space 4}-.0507613{col 67}{space 3} .0109341
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull = .132{p_end}

{txt}       F(  1,   186) ={res}   23.01
{txt}{col 13}Prob > F ={res}    0.0000

{p 0 7}{space 1}{text:( 1)}{space 1} treatfull = -.132{p_end}

{txt}       F(  1,   186) ={res}   53.24
{txt}{col 13}Prob > F ={res}    0.0000
{txt}note: b_urate_z_d omitted because of collinearity
{res}
{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}     7,288
{txt}{col 49}F({res}   8{txt},{res}    186{txt}){col 67}= {res}    101.14
{txt}{col 49}Prob > F{col 67}= {res}    0.0000
{txt}{col 49}R-squared{col 67}= {res}    0.2301
{txt}{col 49}Adj R-squared{col 67}= {res}    0.2277
{txt}{col 49}Root MSE{col 67}= {res}    0.6612

{txt}{ralign 78:(Std. Err. adjusted for {res:187} clusters in hc_id)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}   e_urate_z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2} .0272817{col 26}{space 2} .0218303{col 37}{space 1}    1.25{col 46}{space 3}0.213{col 54}{space 4}-.0157851{col 67}{space 3} .0703486
{txt}{space 3}b_urate_z {c |}{col 14}{res}{space 2} .3545533{col 26}{space 2} .0146561{col 37}{space 1}   24.19{col 46}{space 3}0.000{col 54}{space 4} .3256398{col 67}{space 3} .3834667
{txt}{space 1}b_urate_z_d {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 1}c_tfull_hc2 {c |}{col 14}{res}{space 2} .0150338{col 26}{space 2} .0288718{col 37}{space 1}    0.52{col 46}{space 3}0.603{col 54}{space 4}-.0419245{col 67}{space 3}  .071992
{txt}c_tfull_b_~l {c |}{col 14}{res}{space 2} .0237715{col 26}{space 2}  .033878{col 37}{space 1}    0.70{col 46}{space 3}0.484{col 54}{space 4}-.0430629{col 67}{space 3}  .090606
{txt}c_tfull_b_~s {c |}{col 14}{res}{space 2} .0295139{col 26}{space 2} .0434455{col 37}{space 1}    0.68{col 46}{space 3}0.498{col 54}{space 4}-.0561953{col 67}{space 3} .1152232
{txt}c_tfull_b_~d {c |}{col 14}{res}{space 2} .1472312{col 26}{space 2} .0420304{col 37}{space 1}    3.50{col 46}{space 3}0.001{col 54}{space 4} .0643136{col 67}{space 3} .2301488
{txt}c_tfull_ed~r {c |}{col 14}{res}{space 2}-.0114403{col 26}{space 2} .0021229{col 37}{space 1}   -5.39{col 46}{space 3}0.000{col 54}{space 4}-.0156284{col 67}{space 3}-.0072523
{txt}c_tfull_b_~x {c |}{col 14}{res}{space 2}-.0444239{col 26}{space 2} .0098167{col 37}{space 1}   -4.53{col 46}{space 3}0.000{col 54}{space 4}-.0637903{col 67}{space 3}-.0250575
{txt}{space 7}_cons {c |}{col 14}{res}{space 2}-.0199136{col 26}{space 2} .0156365{col 37}{space 1}   -1.27{col 46}{space 3}0.204{col 54}{space 4}-.0507613{col 67}{space 3} .0109341
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull = .133{p_end}

{txt}       F(  1,   186) ={res}   23.45
{txt}{col 13}Prob > F ={res}    0.0000

{p 0 7}{space 1}{text:( 1)}{space 1} treatfull = -.133{p_end}

{txt}       F(  1,   186) ={res}   53.91
{txt}{col 13}Prob > F ={res}    0.0000
{txt}note: b_urate_z_d omitted because of collinearity
{res}
{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}     7,288
{txt}{col 49}F({res}   8{txt},{res}    186{txt}){col 67}= {res}    101.14
{txt}{col 49}Prob > F{col 67}= {res}    0.0000
{txt}{col 49}R-squared{col 67}= {res}    0.2301
{txt}{col 49}Adj R-squared{col 67}= {res}    0.2277
{txt}{col 49}Root MSE{col 67}= {res}    0.6612

{txt}{ralign 78:(Std. Err. adjusted for {res:187} clusters in hc_id)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}   e_urate_z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2} .0272817{col 26}{space 2} .0218303{col 37}{space 1}    1.25{col 46}{space 3}0.213{col 54}{space 4}-.0157851{col 67}{space 3} .0703486
{txt}{space 3}b_urate_z {c |}{col 14}{res}{space 2} .3545533{col 26}{space 2} .0146561{col 37}{space 1}   24.19{col 46}{space 3}0.000{col 54}{space 4} .3256398{col 67}{space 3} .3834667
{txt}{space 1}b_urate_z_d {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 1}c_tfull_hc2 {c |}{col 14}{res}{space 2} .0150338{col 26}{space 2} .0288718{col 37}{space 1}    0.52{col 46}{space 3}0.603{col 54}{space 4}-.0419245{col 67}{space 3}  .071992
{txt}c_tfull_b_~l {c |}{col 14}{res}{space 2} .0237715{col 26}{space 2}  .033878{col 37}{space 1}    0.70{col 46}{space 3}0.484{col 54}{space 4}-.0430629{col 67}{space 3}  .090606
{txt}c_tfull_b_~s {c |}{col 14}{res}{space 2} .0295139{col 26}{space 2} .0434455{col 37}{space 1}    0.68{col 46}{space 3}0.498{col 54}{space 4}-.0561953{col 67}{space 3} .1152232
{txt}c_tfull_b_~d {c |}{col 14}{res}{space 2} .1472312{col 26}{space 2} .0420304{col 37}{space 1}    3.50{col 46}{space 3}0.001{col 54}{space 4} .0643136{col 67}{space 3} .2301488
{txt}c_tfull_ed~r {c |}{col 14}{res}{space 2}-.0114403{col 26}{space 2} .0021229{col 37}{space 1}   -5.39{col 46}{space 3}0.000{col 54}{space 4}-.0156284{col 67}{space 3}-.0072523
{txt}c_tfull_b_~x {c |}{col 14}{res}{space 2}-.0444239{col 26}{space 2} .0098167{col 37}{space 1}   -4.53{col 46}{space 3}0.000{col 54}{space 4}-.0637903{col 67}{space 3}-.0250575
{txt}{space 7}_cons {c |}{col 14}{res}{space 2}-.0199136{col 26}{space 2} .0156365{col 37}{space 1}   -1.27{col 46}{space 3}0.204{col 54}{space 4}-.0507613{col 67}{space 3} .0109341
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull = .134{p_end}

{txt}       F(  1,   186) ={res}   23.90
{txt}{col 13}Prob > F ={res}    0.0000

{p 0 7}{space 1}{text:( 1)}{space 1} treatfull = -.134{p_end}

{txt}       F(  1,   186) ={res}   54.58
{txt}{col 13}Prob > F ={res}    0.0000
{txt}note: b_urate_z_d omitted because of collinearity
{res}
{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}     7,288
{txt}{col 49}F({res}   8{txt},{res}    186{txt}){col 67}= {res}    101.14
{txt}{col 49}Prob > F{col 67}= {res}    0.0000
{txt}{col 49}R-squared{col 67}= {res}    0.2301
{txt}{col 49}Adj R-squared{col 67}= {res}    0.2277
{txt}{col 49}Root MSE{col 67}= {res}    0.6612

{txt}{ralign 78:(Std. Err. adjusted for {res:187} clusters in hc_id)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}   e_urate_z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2} .0272817{col 26}{space 2} .0218303{col 37}{space 1}    1.25{col 46}{space 3}0.213{col 54}{space 4}-.0157851{col 67}{space 3} .0703486
{txt}{space 3}b_urate_z {c |}{col 14}{res}{space 2} .3545533{col 26}{space 2} .0146561{col 37}{space 1}   24.19{col 46}{space 3}0.000{col 54}{space 4} .3256398{col 67}{space 3} .3834667
{txt}{space 1}b_urate_z_d {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 1}c_tfull_hc2 {c |}{col 14}{res}{space 2} .0150338{col 26}{space 2} .0288718{col 37}{space 1}    0.52{col 46}{space 3}0.603{col 54}{space 4}-.0419245{col 67}{space 3}  .071992
{txt}c_tfull_b_~l {c |}{col 14}{res}{space 2} .0237715{col 26}{space 2}  .033878{col 37}{space 1}    0.70{col 46}{space 3}0.484{col 54}{space 4}-.0430629{col 67}{space 3}  .090606
{txt}c_tfull_b_~s {c |}{col 14}{res}{space 2} .0295139{col 26}{space 2} .0434455{col 37}{space 1}    0.68{col 46}{space 3}0.498{col 54}{space 4}-.0561953{col 67}{space 3} .1152232
{txt}c_tfull_b_~d {c |}{col 14}{res}{space 2} .1472312{col 26}{space 2} .0420304{col 37}{space 1}    3.50{col 46}{space 3}0.001{col 54}{space 4} .0643136{col 67}{space 3} .2301488
{txt}c_tfull_ed~r {c |}{col 14}{res}{space 2}-.0114403{col 26}{space 2} .0021229{col 37}{space 1}   -5.39{col 46}{space 3}0.000{col 54}{space 4}-.0156284{col 67}{space 3}-.0072523
{txt}c_tfull_b_~x {c |}{col 14}{res}{space 2}-.0444239{col 26}{space 2} .0098167{col 37}{space 1}   -4.53{col 46}{space 3}0.000{col 54}{space 4}-.0637903{col 67}{space 3}-.0250575
{txt}{space 7}_cons {c |}{col 14}{res}{space 2}-.0199136{col 26}{space 2} .0156365{col 37}{space 1}   -1.27{col 46}{space 3}0.204{col 54}{space 4}-.0507613{col 67}{space 3} .0109341
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull = .135{p_end}

{txt}       F(  1,   186) ={res}   24.35
{txt}{col 13}Prob > F ={res}    0.0000

{p 0 7}{space 1}{text:( 1)}{space 1} treatfull = -.135{p_end}

{txt}       F(  1,   186) ={res}   55.26
{txt}{col 13}Prob > F ={res}    0.0000
{txt}note: b_urate_z_d omitted because of collinearity
{res}
{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}     7,288
{txt}{col 49}F({res}   8{txt},{res}    186{txt}){col 67}= {res}    101.14
{txt}{col 49}Prob > F{col 67}= {res}    0.0000
{txt}{col 49}R-squared{col 67}= {res}    0.2301
{txt}{col 49}Adj R-squared{col 67}= {res}    0.2277
{txt}{col 49}Root MSE{col 67}= {res}    0.6612

{txt}{ralign 78:(Std. Err. adjusted for {res:187} clusters in hc_id)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}   e_urate_z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2} .0272817{col 26}{space 2} .0218303{col 37}{space 1}    1.25{col 46}{space 3}0.213{col 54}{space 4}-.0157851{col 67}{space 3} .0703486
{txt}{space 3}b_urate_z {c |}{col 14}{res}{space 2} .3545533{col 26}{space 2} .0146561{col 37}{space 1}   24.19{col 46}{space 3}0.000{col 54}{space 4} .3256398{col 67}{space 3} .3834667
{txt}{space 1}b_urate_z_d {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 1}c_tfull_hc2 {c |}{col 14}{res}{space 2} .0150338{col 26}{space 2} .0288718{col 37}{space 1}    0.52{col 46}{space 3}0.603{col 54}{space 4}-.0419245{col 67}{space 3}  .071992
{txt}c_tfull_b_~l {c |}{col 14}{res}{space 2} .0237715{col 26}{space 2}  .033878{col 37}{space 1}    0.70{col 46}{space 3}0.484{col 54}{space 4}-.0430629{col 67}{space 3}  .090606
{txt}c_tfull_b_~s {c |}{col 14}{res}{space 2} .0295139{col 26}{space 2} .0434455{col 37}{space 1}    0.68{col 46}{space 3}0.498{col 54}{space 4}-.0561953{col 67}{space 3} .1152232
{txt}c_tfull_b_~d {c |}{col 14}{res}{space 2} .1472312{col 26}{space 2} .0420304{col 37}{space 1}    3.50{col 46}{space 3}0.001{col 54}{space 4} .0643136{col 67}{space 3} .2301488
{txt}c_tfull_ed~r {c |}{col 14}{res}{space 2}-.0114403{col 26}{space 2} .0021229{col 37}{space 1}   -5.39{col 46}{space 3}0.000{col 54}{space 4}-.0156284{col 67}{space 3}-.0072523
{txt}c_tfull_b_~x {c |}{col 14}{res}{space 2}-.0444239{col 26}{space 2} .0098167{col 37}{space 1}   -4.53{col 46}{space 3}0.000{col 54}{space 4}-.0637903{col 67}{space 3}-.0250575
{txt}{space 7}_cons {c |}{col 14}{res}{space 2}-.0199136{col 26}{space 2} .0156365{col 37}{space 1}   -1.27{col 46}{space 3}0.204{col 54}{space 4}-.0507613{col 67}{space 3} .0109341
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull = .136{p_end}

{txt}       F(  1,   186) ={res}   24.80
{txt}{col 13}Prob > F ={res}    0.0000

{p 0 7}{space 1}{text:( 1)}{space 1} treatfull = -.136{p_end}

{txt}       F(  1,   186) ={res}   55.94
{txt}{col 13}Prob > F ={res}    0.0000
{txt}note: b_urate_z_d omitted because of collinearity
{res}
{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}     7,288
{txt}{col 49}F({res}   8{txt},{res}    186{txt}){col 67}= {res}    101.14
{txt}{col 49}Prob > F{col 67}= {res}    0.0000
{txt}{col 49}R-squared{col 67}= {res}    0.2301
{txt}{col 49}Adj R-squared{col 67}= {res}    0.2277
{txt}{col 49}Root MSE{col 67}= {res}    0.6612

{txt}{ralign 78:(Std. Err. adjusted for {res:187} clusters in hc_id)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}   e_urate_z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2} .0272817{col 26}{space 2} .0218303{col 37}{space 1}    1.25{col 46}{space 3}0.213{col 54}{space 4}-.0157851{col 67}{space 3} .0703486
{txt}{space 3}b_urate_z {c |}{col 14}{res}{space 2} .3545533{col 26}{space 2} .0146561{col 37}{space 1}   24.19{col 46}{space 3}0.000{col 54}{space 4} .3256398{col 67}{space 3} .3834667
{txt}{space 1}b_urate_z_d {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 1}c_tfull_hc2 {c |}{col 14}{res}{space 2} .0150338{col 26}{space 2} .0288718{col 37}{space 1}    0.52{col 46}{space 3}0.603{col 54}{space 4}-.0419245{col 67}{space 3}  .071992
{txt}c_tfull_b_~l {c |}{col 14}{res}{space 2} .0237715{col 26}{space 2}  .033878{col 37}{space 1}    0.70{col 46}{space 3}0.484{col 54}{space 4}-.0430629{col 67}{space 3}  .090606
{txt}c_tfull_b_~s {c |}{col 14}{res}{space 2} .0295139{col 26}{space 2} .0434455{col 37}{space 1}    0.68{col 46}{space 3}0.498{col 54}{space 4}-.0561953{col 67}{space 3} .1152232
{txt}c_tfull_b_~d {c |}{col 14}{res}{space 2} .1472312{col 26}{space 2} .0420304{col 37}{space 1}    3.50{col 46}{space 3}0.001{col 54}{space 4} .0643136{col 67}{space 3} .2301488
{txt}c_tfull_ed~r {c |}{col 14}{res}{space 2}-.0114403{col 26}{space 2} .0021229{col 37}{space 1}   -5.39{col 46}{space 3}0.000{col 54}{space 4}-.0156284{col 67}{space 3}-.0072523
{txt}c_tfull_b_~x {c |}{col 14}{res}{space 2}-.0444239{col 26}{space 2} .0098167{col 37}{space 1}   -4.53{col 46}{space 3}0.000{col 54}{space 4}-.0637903{col 67}{space 3}-.0250575
{txt}{space 7}_cons {c |}{col 14}{res}{space 2}-.0199136{col 26}{space 2} .0156365{col 37}{space 1}   -1.27{col 46}{space 3}0.204{col 54}{space 4}-.0507613{col 67}{space 3} .0109341
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull = .137{p_end}

{txt}       F(  1,   186) ={res}   25.26
{txt}{col 13}Prob > F ={res}    0.0000

{p 0 7}{space 1}{text:( 1)}{space 1} treatfull = -.137{p_end}

{txt}       F(  1,   186) ={res}   56.63
{txt}{col 13}Prob > F ={res}    0.0000
{txt}note: b_urate_z_d omitted because of collinearity
{res}
{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}     7,288
{txt}{col 49}F({res}   8{txt},{res}    186{txt}){col 67}= {res}    101.14
{txt}{col 49}Prob > F{col 67}= {res}    0.0000
{txt}{col 49}R-squared{col 67}= {res}    0.2301
{txt}{col 49}Adj R-squared{col 67}= {res}    0.2277
{txt}{col 49}Root MSE{col 67}= {res}    0.6612

{txt}{ralign 78:(Std. Err. adjusted for {res:187} clusters in hc_id)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}   e_urate_z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2} .0272817{col 26}{space 2} .0218303{col 37}{space 1}    1.25{col 46}{space 3}0.213{col 54}{space 4}-.0157851{col 67}{space 3} .0703486
{txt}{space 3}b_urate_z {c |}{col 14}{res}{space 2} .3545533{col 26}{space 2} .0146561{col 37}{space 1}   24.19{col 46}{space 3}0.000{col 54}{space 4} .3256398{col 67}{space 3} .3834667
{txt}{space 1}b_urate_z_d {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 1}c_tfull_hc2 {c |}{col 14}{res}{space 2} .0150338{col 26}{space 2} .0288718{col 37}{space 1}    0.52{col 46}{space 3}0.603{col 54}{space 4}-.0419245{col 67}{space 3}  .071992
{txt}c_tfull_b_~l {c |}{col 14}{res}{space 2} .0237715{col 26}{space 2}  .033878{col 37}{space 1}    0.70{col 46}{space 3}0.484{col 54}{space 4}-.0430629{col 67}{space 3}  .090606
{txt}c_tfull_b_~s {c |}{col 14}{res}{space 2} .0295139{col 26}{space 2} .0434455{col 37}{space 1}    0.68{col 46}{space 3}0.498{col 54}{space 4}-.0561953{col 67}{space 3} .1152232
{txt}c_tfull_b_~d {c |}{col 14}{res}{space 2} .1472312{col 26}{space 2} .0420304{col 37}{space 1}    3.50{col 46}{space 3}0.001{col 54}{space 4} .0643136{col 67}{space 3} .2301488
{txt}c_tfull_ed~r {c |}{col 14}{res}{space 2}-.0114403{col 26}{space 2} .0021229{col 37}{space 1}   -5.39{col 46}{space 3}0.000{col 54}{space 4}-.0156284{col 67}{space 3}-.0072523
{txt}c_tfull_b_~x {c |}{col 14}{res}{space 2}-.0444239{col 26}{space 2} .0098167{col 37}{space 1}   -4.53{col 46}{space 3}0.000{col 54}{space 4}-.0637903{col 67}{space 3}-.0250575
{txt}{space 7}_cons {c |}{col 14}{res}{space 2}-.0199136{col 26}{space 2} .0156365{col 37}{space 1}   -1.27{col 46}{space 3}0.204{col 54}{space 4}-.0507613{col 67}{space 3} .0109341
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull = .138{p_end}

{txt}       F(  1,   186) ={res}   25.72
{txt}{col 13}Prob > F ={res}    0.0000

{p 0 7}{space 1}{text:( 1)}{space 1} treatfull = -.138{p_end}

{txt}       F(  1,   186) ={res}   57.32
{txt}{col 13}Prob > F ={res}    0.0000
{txt}note: b_urate_z_d omitted because of collinearity
{res}
{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}     7,288
{txt}{col 49}F({res}   8{txt},{res}    186{txt}){col 67}= {res}    101.14
{txt}{col 49}Prob > F{col 67}= {res}    0.0000
{txt}{col 49}R-squared{col 67}= {res}    0.2301
{txt}{col 49}Adj R-squared{col 67}= {res}    0.2277
{txt}{col 49}Root MSE{col 67}= {res}    0.6612

{txt}{ralign 78:(Std. Err. adjusted for {res:187} clusters in hc_id)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}   e_urate_z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2} .0272817{col 26}{space 2} .0218303{col 37}{space 1}    1.25{col 46}{space 3}0.213{col 54}{space 4}-.0157851{col 67}{space 3} .0703486
{txt}{space 3}b_urate_z {c |}{col 14}{res}{space 2} .3545533{col 26}{space 2} .0146561{col 37}{space 1}   24.19{col 46}{space 3}0.000{col 54}{space 4} .3256398{col 67}{space 3} .3834667
{txt}{space 1}b_urate_z_d {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 1}c_tfull_hc2 {c |}{col 14}{res}{space 2} .0150338{col 26}{space 2} .0288718{col 37}{space 1}    0.52{col 46}{space 3}0.603{col 54}{space 4}-.0419245{col 67}{space 3}  .071992
{txt}c_tfull_b_~l {c |}{col 14}{res}{space 2} .0237715{col 26}{space 2}  .033878{col 37}{space 1}    0.70{col 46}{space 3}0.484{col 54}{space 4}-.0430629{col 67}{space 3}  .090606
{txt}c_tfull_b_~s {c |}{col 14}{res}{space 2} .0295139{col 26}{space 2} .0434455{col 37}{space 1}    0.68{col 46}{space 3}0.498{col 54}{space 4}-.0561953{col 67}{space 3} .1152232
{txt}c_tfull_b_~d {c |}{col 14}{res}{space 2} .1472312{col 26}{space 2} .0420304{col 37}{space 1}    3.50{col 46}{space 3}0.001{col 54}{space 4} .0643136{col 67}{space 3} .2301488
{txt}c_tfull_ed~r {c |}{col 14}{res}{space 2}-.0114403{col 26}{space 2} .0021229{col 37}{space 1}   -5.39{col 46}{space 3}0.000{col 54}{space 4}-.0156284{col 67}{space 3}-.0072523
{txt}c_tfull_b_~x {c |}{col 14}{res}{space 2}-.0444239{col 26}{space 2} .0098167{col 37}{space 1}   -4.53{col 46}{space 3}0.000{col 54}{space 4}-.0637903{col 67}{space 3}-.0250575
{txt}{space 7}_cons {c |}{col 14}{res}{space 2}-.0199136{col 26}{space 2} .0156365{col 37}{space 1}   -1.27{col 46}{space 3}0.204{col 54}{space 4}-.0507613{col 67}{space 3} .0109341
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull = .139{p_end}

{txt}       F(  1,   186) ={res}   26.19
{txt}{col 13}Prob > F ={res}    0.0000

{p 0 7}{space 1}{text:( 1)}{space 1} treatfull = -.139{p_end}

{txt}       F(  1,   186) ={res}   58.02
{txt}{col 13}Prob > F ={res}    0.0000
{txt}note: b_urate_z_d omitted because of collinearity
{res}
{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}     7,288
{txt}{col 49}F({res}   8{txt},{res}    186{txt}){col 67}= {res}    101.14
{txt}{col 49}Prob > F{col 67}= {res}    0.0000
{txt}{col 49}R-squared{col 67}= {res}    0.2301
{txt}{col 49}Adj R-squared{col 67}= {res}    0.2277
{txt}{col 49}Root MSE{col 67}= {res}    0.6612

{txt}{ralign 78:(Std. Err. adjusted for {res:187} clusters in hc_id)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}   e_urate_z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2} .0272817{col 26}{space 2} .0218303{col 37}{space 1}    1.25{col 46}{space 3}0.213{col 54}{space 4}-.0157851{col 67}{space 3} .0703486
{txt}{space 3}b_urate_z {c |}{col 14}{res}{space 2} .3545533{col 26}{space 2} .0146561{col 37}{space 1}   24.19{col 46}{space 3}0.000{col 54}{space 4} .3256398{col 67}{space 3} .3834667
{txt}{space 1}b_urate_z_d {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 1}c_tfull_hc2 {c |}{col 14}{res}{space 2} .0150338{col 26}{space 2} .0288718{col 37}{space 1}    0.52{col 46}{space 3}0.603{col 54}{space 4}-.0419245{col 67}{space 3}  .071992
{txt}c_tfull_b_~l {c |}{col 14}{res}{space 2} .0237715{col 26}{space 2}  .033878{col 37}{space 1}    0.70{col 46}{space 3}0.484{col 54}{space 4}-.0430629{col 67}{space 3}  .090606
{txt}c_tfull_b_~s {c |}{col 14}{res}{space 2} .0295139{col 26}{space 2} .0434455{col 37}{space 1}    0.68{col 46}{space 3}0.498{col 54}{space 4}-.0561953{col 67}{space 3} .1152232
{txt}c_tfull_b_~d {c |}{col 14}{res}{space 2} .1472312{col 26}{space 2} .0420304{col 37}{space 1}    3.50{col 46}{space 3}0.001{col 54}{space 4} .0643136{col 67}{space 3} .2301488
{txt}c_tfull_ed~r {c |}{col 14}{res}{space 2}-.0114403{col 26}{space 2} .0021229{col 37}{space 1}   -5.39{col 46}{space 3}0.000{col 54}{space 4}-.0156284{col 67}{space 3}-.0072523
{txt}c_tfull_b_~x {c |}{col 14}{res}{space 2}-.0444239{col 26}{space 2} .0098167{col 37}{space 1}   -4.53{col 46}{space 3}0.000{col 54}{space 4}-.0637903{col 67}{space 3}-.0250575
{txt}{space 7}_cons {c |}{col 14}{res}{space 2}-.0199136{col 26}{space 2} .0156365{col 37}{space 1}   -1.27{col 46}{space 3}0.204{col 54}{space 4}-.0507613{col 67}{space 3} .0109341
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull = .14{p_end}

{txt}       F(  1,   186) ={res}   26.66
{txt}{col 13}Prob > F ={res}    0.0000

{p 0 7}{space 1}{text:( 1)}{space 1} treatfull = -.14{p_end}

{txt}       F(  1,   186) ={res}   58.72
{txt}{col 13}Prob > F ={res}    0.0000
{txt}note: b_urate_z_d omitted because of collinearity
{res}
{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}     7,288
{txt}{col 49}F({res}   8{txt},{res}    186{txt}){col 67}= {res}    101.14
{txt}{col 49}Prob > F{col 67}= {res}    0.0000
{txt}{col 49}R-squared{col 67}= {res}    0.2301
{txt}{col 49}Adj R-squared{col 67}= {res}    0.2277
{txt}{col 49}Root MSE{col 67}= {res}    0.6612

{txt}{ralign 78:(Std. Err. adjusted for {res:187} clusters in hc_id)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}   e_urate_z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2} .0272817{col 26}{space 2} .0218303{col 37}{space 1}    1.25{col 46}{space 3}0.213{col 54}{space 4}-.0157851{col 67}{space 3} .0703486
{txt}{space 3}b_urate_z {c |}{col 14}{res}{space 2} .3545533{col 26}{space 2} .0146561{col 37}{space 1}   24.19{col 46}{space 3}0.000{col 54}{space 4} .3256398{col 67}{space 3} .3834667
{txt}{space 1}b_urate_z_d {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 1}c_tfull_hc2 {c |}{col 14}{res}{space 2} .0150338{col 26}{space 2} .0288718{col 37}{space 1}    0.52{col 46}{space 3}0.603{col 54}{space 4}-.0419245{col 67}{space 3}  .071992
{txt}c_tfull_b_~l {c |}{col 14}{res}{space 2} .0237715{col 26}{space 2}  .033878{col 37}{space 1}    0.70{col 46}{space 3}0.484{col 54}{space 4}-.0430629{col 67}{space 3}  .090606
{txt}c_tfull_b_~s {c |}{col 14}{res}{space 2} .0295139{col 26}{space 2} .0434455{col 37}{space 1}    0.68{col 46}{space 3}0.498{col 54}{space 4}-.0561953{col 67}{space 3} .1152232
{txt}c_tfull_b_~d {c |}{col 14}{res}{space 2} .1472312{col 26}{space 2} .0420304{col 37}{space 1}    3.50{col 46}{space 3}0.001{col 54}{space 4} .0643136{col 67}{space 3} .2301488
{txt}c_tfull_ed~r {c |}{col 14}{res}{space 2}-.0114403{col 26}{space 2} .0021229{col 37}{space 1}   -5.39{col 46}{space 3}0.000{col 54}{space 4}-.0156284{col 67}{space 3}-.0072523
{txt}c_tfull_b_~x {c |}{col 14}{res}{space 2}-.0444239{col 26}{space 2} .0098167{col 37}{space 1}   -4.53{col 46}{space 3}0.000{col 54}{space 4}-.0637903{col 67}{space 3}-.0250575
{txt}{space 7}_cons {c |}{col 14}{res}{space 2}-.0199136{col 26}{space 2} .0156365{col 37}{space 1}   -1.27{col 46}{space 3}0.204{col 54}{space 4}-.0507613{col 67}{space 3} .0109341
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull = .141{p_end}

{txt}       F(  1,   186) ={res}   27.14
{txt}{col 13}Prob > F ={res}    0.0000

{p 0 7}{space 1}{text:( 1)}{space 1} treatfull = -.141{p_end}

{txt}       F(  1,   186) ={res}   59.42
{txt}{col 13}Prob > F ={res}    0.0000
{txt}note: b_urate_z_d omitted because of collinearity
{res}
{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}     7,288
{txt}{col 49}F({res}   8{txt},{res}    186{txt}){col 67}= {res}    101.14
{txt}{col 49}Prob > F{col 67}= {res}    0.0000
{txt}{col 49}R-squared{col 67}= {res}    0.2301
{txt}{col 49}Adj R-squared{col 67}= {res}    0.2277
{txt}{col 49}Root MSE{col 67}= {res}    0.6612

{txt}{ralign 78:(Std. Err. adjusted for {res:187} clusters in hc_id)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}   e_urate_z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2} .0272817{col 26}{space 2} .0218303{col 37}{space 1}    1.25{col 46}{space 3}0.213{col 54}{space 4}-.0157851{col 67}{space 3} .0703486
{txt}{space 3}b_urate_z {c |}{col 14}{res}{space 2} .3545533{col 26}{space 2} .0146561{col 37}{space 1}   24.19{col 46}{space 3}0.000{col 54}{space 4} .3256398{col 67}{space 3} .3834667
{txt}{space 1}b_urate_z_d {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 1}c_tfull_hc2 {c |}{col 14}{res}{space 2} .0150338{col 26}{space 2} .0288718{col 37}{space 1}    0.52{col 46}{space 3}0.603{col 54}{space 4}-.0419245{col 67}{space 3}  .071992
{txt}c_tfull_b_~l {c |}{col 14}{res}{space 2} .0237715{col 26}{space 2}  .033878{col 37}{space 1}    0.70{col 46}{space 3}0.484{col 54}{space 4}-.0430629{col 67}{space 3}  .090606
{txt}c_tfull_b_~s {c |}{col 14}{res}{space 2} .0295139{col 26}{space 2} .0434455{col 37}{space 1}    0.68{col 46}{space 3}0.498{col 54}{space 4}-.0561953{col 67}{space 3} .1152232
{txt}c_tfull_b_~d {c |}{col 14}{res}{space 2} .1472312{col 26}{space 2} .0420304{col 37}{space 1}    3.50{col 46}{space 3}0.001{col 54}{space 4} .0643136{col 67}{space 3} .2301488
{txt}c_tfull_ed~r {c |}{col 14}{res}{space 2}-.0114403{col 26}{space 2} .0021229{col 37}{space 1}   -5.39{col 46}{space 3}0.000{col 54}{space 4}-.0156284{col 67}{space 3}-.0072523
{txt}c_tfull_b_~x {c |}{col 14}{res}{space 2}-.0444239{col 26}{space 2} .0098167{col 37}{space 1}   -4.53{col 46}{space 3}0.000{col 54}{space 4}-.0637903{col 67}{space 3}-.0250575
{txt}{space 7}_cons {c |}{col 14}{res}{space 2}-.0199136{col 26}{space 2} .0156365{col 37}{space 1}   -1.27{col 46}{space 3}0.204{col 54}{space 4}-.0507613{col 67}{space 3} .0109341
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull = .142{p_end}

{txt}       F(  1,   186) ={res}   27.62
{txt}{col 13}Prob > F ={res}    0.0000

{p 0 7}{space 1}{text:( 1)}{space 1} treatfull = -.142{p_end}

{txt}       F(  1,   186) ={res}   60.13
{txt}{col 13}Prob > F ={res}    0.0000
{txt}note: b_urate_z_d omitted because of collinearity
{res}
{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}     7,288
{txt}{col 49}F({res}   8{txt},{res}    186{txt}){col 67}= {res}    101.14
{txt}{col 49}Prob > F{col 67}= {res}    0.0000
{txt}{col 49}R-squared{col 67}= {res}    0.2301
{txt}{col 49}Adj R-squared{col 67}= {res}    0.2277
{txt}{col 49}Root MSE{col 67}= {res}    0.6612

{txt}{ralign 78:(Std. Err. adjusted for {res:187} clusters in hc_id)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}   e_urate_z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2} .0272817{col 26}{space 2} .0218303{col 37}{space 1}    1.25{col 46}{space 3}0.213{col 54}{space 4}-.0157851{col 67}{space 3} .0703486
{txt}{space 3}b_urate_z {c |}{col 14}{res}{space 2} .3545533{col 26}{space 2} .0146561{col 37}{space 1}   24.19{col 46}{space 3}0.000{col 54}{space 4} .3256398{col 67}{space 3} .3834667
{txt}{space 1}b_urate_z_d {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 1}c_tfull_hc2 {c |}{col 14}{res}{space 2} .0150338{col 26}{space 2} .0288718{col 37}{space 1}    0.52{col 46}{space 3}0.603{col 54}{space 4}-.0419245{col 67}{space 3}  .071992
{txt}c_tfull_b_~l {c |}{col 14}{res}{space 2} .0237715{col 26}{space 2}  .033878{col 37}{space 1}    0.70{col 46}{space 3}0.484{col 54}{space 4}-.0430629{col 67}{space 3}  .090606
{txt}c_tfull_b_~s {c |}{col 14}{res}{space 2} .0295139{col 26}{space 2} .0434455{col 37}{space 1}    0.68{col 46}{space 3}0.498{col 54}{space 4}-.0561953{col 67}{space 3} .1152232
{txt}c_tfull_b_~d {c |}{col 14}{res}{space 2} .1472312{col 26}{space 2} .0420304{col 37}{space 1}    3.50{col 46}{space 3}0.001{col 54}{space 4} .0643136{col 67}{space 3} .2301488
{txt}c_tfull_ed~r {c |}{col 14}{res}{space 2}-.0114403{col 26}{space 2} .0021229{col 37}{space 1}   -5.39{col 46}{space 3}0.000{col 54}{space 4}-.0156284{col 67}{space 3}-.0072523
{txt}c_tfull_b_~x {c |}{col 14}{res}{space 2}-.0444239{col 26}{space 2} .0098167{col 37}{space 1}   -4.53{col 46}{space 3}0.000{col 54}{space 4}-.0637903{col 67}{space 3}-.0250575
{txt}{space 7}_cons {c |}{col 14}{res}{space 2}-.0199136{col 26}{space 2} .0156365{col 37}{space 1}   -1.27{col 46}{space 3}0.204{col 54}{space 4}-.0507613{col 67}{space 3} .0109341
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull = .143{p_end}

{txt}       F(  1,   186) ={res}   28.10
{txt}{col 13}Prob > F ={res}    0.0000

{p 0 7}{space 1}{text:( 1)}{space 1} treatfull = -.143{p_end}

{txt}       F(  1,   186) ={res}   60.84
{txt}{col 13}Prob > F ={res}    0.0000
{txt}note: b_urate_z_d omitted because of collinearity
{res}
{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}     7,288
{txt}{col 49}F({res}   8{txt},{res}    186{txt}){col 67}= {res}    101.14
{txt}{col 49}Prob > F{col 67}= {res}    0.0000
{txt}{col 49}R-squared{col 67}= {res}    0.2301
{txt}{col 49}Adj R-squared{col 67}= {res}    0.2277
{txt}{col 49}Root MSE{col 67}= {res}    0.6612

{txt}{ralign 78:(Std. Err. adjusted for {res:187} clusters in hc_id)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}   e_urate_z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2} .0272817{col 26}{space 2} .0218303{col 37}{space 1}    1.25{col 46}{space 3}0.213{col 54}{space 4}-.0157851{col 67}{space 3} .0703486
{txt}{space 3}b_urate_z {c |}{col 14}{res}{space 2} .3545533{col 26}{space 2} .0146561{col 37}{space 1}   24.19{col 46}{space 3}0.000{col 54}{space 4} .3256398{col 67}{space 3} .3834667
{txt}{space 1}b_urate_z_d {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 1}c_tfull_hc2 {c |}{col 14}{res}{space 2} .0150338{col 26}{space 2} .0288718{col 37}{space 1}    0.52{col 46}{space 3}0.603{col 54}{space 4}-.0419245{col 67}{space 3}  .071992
{txt}c_tfull_b_~l {c |}{col 14}{res}{space 2} .0237715{col 26}{space 2}  .033878{col 37}{space 1}    0.70{col 46}{space 3}0.484{col 54}{space 4}-.0430629{col 67}{space 3}  .090606
{txt}c_tfull_b_~s {c |}{col 14}{res}{space 2} .0295139{col 26}{space 2} .0434455{col 37}{space 1}    0.68{col 46}{space 3}0.498{col 54}{space 4}-.0561953{col 67}{space 3} .1152232
{txt}c_tfull_b_~d {c |}{col 14}{res}{space 2} .1472312{col 26}{space 2} .0420304{col 37}{space 1}    3.50{col 46}{space 3}0.001{col 54}{space 4} .0643136{col 67}{space 3} .2301488
{txt}c_tfull_ed~r {c |}{col 14}{res}{space 2}-.0114403{col 26}{space 2} .0021229{col 37}{space 1}   -5.39{col 46}{space 3}0.000{col 54}{space 4}-.0156284{col 67}{space 3}-.0072523
{txt}c_tfull_b_~x {c |}{col 14}{res}{space 2}-.0444239{col 26}{space 2} .0098167{col 37}{space 1}   -4.53{col 46}{space 3}0.000{col 54}{space 4}-.0637903{col 67}{space 3}-.0250575
{txt}{space 7}_cons {c |}{col 14}{res}{space 2}-.0199136{col 26}{space 2} .0156365{col 37}{space 1}   -1.27{col 46}{space 3}0.204{col 54}{space 4}-.0507613{col 67}{space 3} .0109341
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull = .144{p_end}

{txt}       F(  1,   186) ={res}   28.59
{txt}{col 13}Prob > F ={res}    0.0000

{p 0 7}{space 1}{text:( 1)}{space 1} treatfull = -.144{p_end}

{txt}       F(  1,   186) ={res}   61.56
{txt}{col 13}Prob > F ={res}    0.0000
{txt}note: b_urate_z_d omitted because of collinearity
{res}
{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}     7,288
{txt}{col 49}F({res}   8{txt},{res}    186{txt}){col 67}= {res}    101.14
{txt}{col 49}Prob > F{col 67}= {res}    0.0000
{txt}{col 49}R-squared{col 67}= {res}    0.2301
{txt}{col 49}Adj R-squared{col 67}= {res}    0.2277
{txt}{col 49}Root MSE{col 67}= {res}    0.6612

{txt}{ralign 78:(Std. Err. adjusted for {res:187} clusters in hc_id)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}   e_urate_z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2} .0272817{col 26}{space 2} .0218303{col 37}{space 1}    1.25{col 46}{space 3}0.213{col 54}{space 4}-.0157851{col 67}{space 3} .0703486
{txt}{space 3}b_urate_z {c |}{col 14}{res}{space 2} .3545533{col 26}{space 2} .0146561{col 37}{space 1}   24.19{col 46}{space 3}0.000{col 54}{space 4} .3256398{col 67}{space 3} .3834667
{txt}{space 1}b_urate_z_d {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 1}c_tfull_hc2 {c |}{col 14}{res}{space 2} .0150338{col 26}{space 2} .0288718{col 37}{space 1}    0.52{col 46}{space 3}0.603{col 54}{space 4}-.0419245{col 67}{space 3}  .071992
{txt}c_tfull_b_~l {c |}{col 14}{res}{space 2} .0237715{col 26}{space 2}  .033878{col 37}{space 1}    0.70{col 46}{space 3}0.484{col 54}{space 4}-.0430629{col 67}{space 3}  .090606
{txt}c_tfull_b_~s {c |}{col 14}{res}{space 2} .0295139{col 26}{space 2} .0434455{col 37}{space 1}    0.68{col 46}{space 3}0.498{col 54}{space 4}-.0561953{col 67}{space 3} .1152232
{txt}c_tfull_b_~d {c |}{col 14}{res}{space 2} .1472312{col 26}{space 2} .0420304{col 37}{space 1}    3.50{col 46}{space 3}0.001{col 54}{space 4} .0643136{col 67}{space 3} .2301488
{txt}c_tfull_ed~r {c |}{col 14}{res}{space 2}-.0114403{col 26}{space 2} .0021229{col 37}{space 1}   -5.39{col 46}{space 3}0.000{col 54}{space 4}-.0156284{col 67}{space 3}-.0072523
{txt}c_tfull_b_~x {c |}{col 14}{res}{space 2}-.0444239{col 26}{space 2} .0098167{col 37}{space 1}   -4.53{col 46}{space 3}0.000{col 54}{space 4}-.0637903{col 67}{space 3}-.0250575
{txt}{space 7}_cons {c |}{col 14}{res}{space 2}-.0199136{col 26}{space 2} .0156365{col 37}{space 1}   -1.27{col 46}{space 3}0.204{col 54}{space 4}-.0507613{col 67}{space 3} .0109341
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull = .145{p_end}

{txt}       F(  1,   186) ={res}   29.08
{txt}{col 13}Prob > F ={res}    0.0000

{p 0 7}{space 1}{text:( 1)}{space 1} treatfull = -.145{p_end}

{txt}       F(  1,   186) ={res}   62.28
{txt}{col 13}Prob > F ={res}    0.0000
{txt}note: b_urate_z_d omitted because of collinearity
{res}
{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}     7,288
{txt}{col 49}F({res}   8{txt},{res}    186{txt}){col 67}= {res}    101.14
{txt}{col 49}Prob > F{col 67}= {res}    0.0000
{txt}{col 49}R-squared{col 67}= {res}    0.2301
{txt}{col 49}Adj R-squared{col 67}= {res}    0.2277
{txt}{col 49}Root MSE{col 67}= {res}    0.6612

{txt}{ralign 78:(Std. Err. adjusted for {res:187} clusters in hc_id)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}   e_urate_z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2} .0272817{col 26}{space 2} .0218303{col 37}{space 1}    1.25{col 46}{space 3}0.213{col 54}{space 4}-.0157851{col 67}{space 3} .0703486
{txt}{space 3}b_urate_z {c |}{col 14}{res}{space 2} .3545533{col 26}{space 2} .0146561{col 37}{space 1}   24.19{col 46}{space 3}0.000{col 54}{space 4} .3256398{col 67}{space 3} .3834667
{txt}{space 1}b_urate_z_d {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 1}c_tfull_hc2 {c |}{col 14}{res}{space 2} .0150338{col 26}{space 2} .0288718{col 37}{space 1}    0.52{col 46}{space 3}0.603{col 54}{space 4}-.0419245{col 67}{space 3}  .071992
{txt}c_tfull_b_~l {c |}{col 14}{res}{space 2} .0237715{col 26}{space 2}  .033878{col 37}{space 1}    0.70{col 46}{space 3}0.484{col 54}{space 4}-.0430629{col 67}{space 3}  .090606
{txt}c_tfull_b_~s {c |}{col 14}{res}{space 2} .0295139{col 26}{space 2} .0434455{col 37}{space 1}    0.68{col 46}{space 3}0.498{col 54}{space 4}-.0561953{col 67}{space 3} .1152232
{txt}c_tfull_b_~d {c |}{col 14}{res}{space 2} .1472312{col 26}{space 2} .0420304{col 37}{space 1}    3.50{col 46}{space 3}0.001{col 54}{space 4} .0643136{col 67}{space 3} .2301488
{txt}c_tfull_ed~r {c |}{col 14}{res}{space 2}-.0114403{col 26}{space 2} .0021229{col 37}{space 1}   -5.39{col 46}{space 3}0.000{col 54}{space 4}-.0156284{col 67}{space 3}-.0072523
{txt}c_tfull_b_~x {c |}{col 14}{res}{space 2}-.0444239{col 26}{space 2} .0098167{col 37}{space 1}   -4.53{col 46}{space 3}0.000{col 54}{space 4}-.0637903{col 67}{space 3}-.0250575
{txt}{space 7}_cons {c |}{col 14}{res}{space 2}-.0199136{col 26}{space 2} .0156365{col 37}{space 1}   -1.27{col 46}{space 3}0.204{col 54}{space 4}-.0507613{col 67}{space 3} .0109341
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull = .146{p_end}

{txt}       F(  1,   186) ={res}   29.57
{txt}{col 13}Prob > F ={res}    0.0000

{p 0 7}{space 1}{text:( 1)}{space 1} treatfull = -.146{p_end}

{txt}       F(  1,   186) ={res}   63.01
{txt}{col 13}Prob > F ={res}    0.0000
{txt}note: b_urate_z_d omitted because of collinearity
{res}
{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}     7,288
{txt}{col 49}F({res}   8{txt},{res}    186{txt}){col 67}= {res}    101.14
{txt}{col 49}Prob > F{col 67}= {res}    0.0000
{txt}{col 49}R-squared{col 67}= {res}    0.2301
{txt}{col 49}Adj R-squared{col 67}= {res}    0.2277
{txt}{col 49}Root MSE{col 67}= {res}    0.6612

{txt}{ralign 78:(Std. Err. adjusted for {res:187} clusters in hc_id)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}   e_urate_z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2} .0272817{col 26}{space 2} .0218303{col 37}{space 1}    1.25{col 46}{space 3}0.213{col 54}{space 4}-.0157851{col 67}{space 3} .0703486
{txt}{space 3}b_urate_z {c |}{col 14}{res}{space 2} .3545533{col 26}{space 2} .0146561{col 37}{space 1}   24.19{col 46}{space 3}0.000{col 54}{space 4} .3256398{col 67}{space 3} .3834667
{txt}{space 1}b_urate_z_d {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 1}c_tfull_hc2 {c |}{col 14}{res}{space 2} .0150338{col 26}{space 2} .0288718{col 37}{space 1}    0.52{col 46}{space 3}0.603{col 54}{space 4}-.0419245{col 67}{space 3}  .071992
{txt}c_tfull_b_~l {c |}{col 14}{res}{space 2} .0237715{col 26}{space 2}  .033878{col 37}{space 1}    0.70{col 46}{space 3}0.484{col 54}{space 4}-.0430629{col 67}{space 3}  .090606
{txt}c_tfull_b_~s {c |}{col 14}{res}{space 2} .0295139{col 26}{space 2} .0434455{col 37}{space 1}    0.68{col 46}{space 3}0.498{col 54}{space 4}-.0561953{col 67}{space 3} .1152232
{txt}c_tfull_b_~d {c |}{col 14}{res}{space 2} .1472312{col 26}{space 2} .0420304{col 37}{space 1}    3.50{col 46}{space 3}0.001{col 54}{space 4} .0643136{col 67}{space 3} .2301488
{txt}c_tfull_ed~r {c |}{col 14}{res}{space 2}-.0114403{col 26}{space 2} .0021229{col 37}{space 1}   -5.39{col 46}{space 3}0.000{col 54}{space 4}-.0156284{col 67}{space 3}-.0072523
{txt}c_tfull_b_~x {c |}{col 14}{res}{space 2}-.0444239{col 26}{space 2} .0098167{col 37}{space 1}   -4.53{col 46}{space 3}0.000{col 54}{space 4}-.0637903{col 67}{space 3}-.0250575
{txt}{space 7}_cons {c |}{col 14}{res}{space 2}-.0199136{col 26}{space 2} .0156365{col 37}{space 1}   -1.27{col 46}{space 3}0.204{col 54}{space 4}-.0507613{col 67}{space 3} .0109341
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull = .147{p_end}

{txt}       F(  1,   186) ={res}   30.07
{txt}{col 13}Prob > F ={res}    0.0000

{p 0 7}{space 1}{text:( 1)}{space 1} treatfull = -.147{p_end}

{txt}       F(  1,   186) ={res}   63.74
{txt}{col 13}Prob > F ={res}    0.0000
{txt}note: b_urate_z_d omitted because of collinearity
{res}
{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}     7,288
{txt}{col 49}F({res}   8{txt},{res}    186{txt}){col 67}= {res}    101.14
{txt}{col 49}Prob > F{col 67}= {res}    0.0000
{txt}{col 49}R-squared{col 67}= {res}    0.2301
{txt}{col 49}Adj R-squared{col 67}= {res}    0.2277
{txt}{col 49}Root MSE{col 67}= {res}    0.6612

{txt}{ralign 78:(Std. Err. adjusted for {res:187} clusters in hc_id)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}   e_urate_z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2} .0272817{col 26}{space 2} .0218303{col 37}{space 1}    1.25{col 46}{space 3}0.213{col 54}{space 4}-.0157851{col 67}{space 3} .0703486
{txt}{space 3}b_urate_z {c |}{col 14}{res}{space 2} .3545533{col 26}{space 2} .0146561{col 37}{space 1}   24.19{col 46}{space 3}0.000{col 54}{space 4} .3256398{col 67}{space 3} .3834667
{txt}{space 1}b_urate_z_d {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 1}c_tfull_hc2 {c |}{col 14}{res}{space 2} .0150338{col 26}{space 2} .0288718{col 37}{space 1}    0.52{col 46}{space 3}0.603{col 54}{space 4}-.0419245{col 67}{space 3}  .071992
{txt}c_tfull_b_~l {c |}{col 14}{res}{space 2} .0237715{col 26}{space 2}  .033878{col 37}{space 1}    0.70{col 46}{space 3}0.484{col 54}{space 4}-.0430629{col 67}{space 3}  .090606
{txt}c_tfull_b_~s {c |}{col 14}{res}{space 2} .0295139{col 26}{space 2} .0434455{col 37}{space 1}    0.68{col 46}{space 3}0.498{col 54}{space 4}-.0561953{col 67}{space 3} .1152232
{txt}c_tfull_b_~d {c |}{col 14}{res}{space 2} .1472312{col 26}{space 2} .0420304{col 37}{space 1}    3.50{col 46}{space 3}0.001{col 54}{space 4} .0643136{col 67}{space 3} .2301488
{txt}c_tfull_ed~r {c |}{col 14}{res}{space 2}-.0114403{col 26}{space 2} .0021229{col 37}{space 1}   -5.39{col 46}{space 3}0.000{col 54}{space 4}-.0156284{col 67}{space 3}-.0072523
{txt}c_tfull_b_~x {c |}{col 14}{res}{space 2}-.0444239{col 26}{space 2} .0098167{col 37}{space 1}   -4.53{col 46}{space 3}0.000{col 54}{space 4}-.0637903{col 67}{space 3}-.0250575
{txt}{space 7}_cons {c |}{col 14}{res}{space 2}-.0199136{col 26}{space 2} .0156365{col 37}{space 1}   -1.27{col 46}{space 3}0.204{col 54}{space 4}-.0507613{col 67}{space 3} .0109341
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull = .148{p_end}

{txt}       F(  1,   186) ={res}   30.58
{txt}{col 13}Prob > F ={res}    0.0000

{p 0 7}{space 1}{text:( 1)}{space 1} treatfull = -.148{p_end}

{txt}       F(  1,   186) ={res}   64.47
{txt}{col 13}Prob > F ={res}    0.0000
{txt}note: b_urate_z_d omitted because of collinearity
{res}
{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}     7,288
{txt}{col 49}F({res}   8{txt},{res}    186{txt}){col 67}= {res}    101.14
{txt}{col 49}Prob > F{col 67}= {res}    0.0000
{txt}{col 49}R-squared{col 67}= {res}    0.2301
{txt}{col 49}Adj R-squared{col 67}= {res}    0.2277
{txt}{col 49}Root MSE{col 67}= {res}    0.6612

{txt}{ralign 78:(Std. Err. adjusted for {res:187} clusters in hc_id)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}   e_urate_z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2} .0272817{col 26}{space 2} .0218303{col 37}{space 1}    1.25{col 46}{space 3}0.213{col 54}{space 4}-.0157851{col 67}{space 3} .0703486
{txt}{space 3}b_urate_z {c |}{col 14}{res}{space 2} .3545533{col 26}{space 2} .0146561{col 37}{space 1}   24.19{col 46}{space 3}0.000{col 54}{space 4} .3256398{col 67}{space 3} .3834667
{txt}{space 1}b_urate_z_d {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 1}c_tfull_hc2 {c |}{col 14}{res}{space 2} .0150338{col 26}{space 2} .0288718{col 37}{space 1}    0.52{col 46}{space 3}0.603{col 54}{space 4}-.0419245{col 67}{space 3}  .071992
{txt}c_tfull_b_~l {c |}{col 14}{res}{space 2} .0237715{col 26}{space 2}  .033878{col 37}{space 1}    0.70{col 46}{space 3}0.484{col 54}{space 4}-.0430629{col 67}{space 3}  .090606
{txt}c_tfull_b_~s {c |}{col 14}{res}{space 2} .0295139{col 26}{space 2} .0434455{col 37}{space 1}    0.68{col 46}{space 3}0.498{col 54}{space 4}-.0561953{col 67}{space 3} .1152232
{txt}c_tfull_b_~d {c |}{col 14}{res}{space 2} .1472312{col 26}{space 2} .0420304{col 37}{space 1}    3.50{col 46}{space 3}0.001{col 54}{space 4} .0643136{col 67}{space 3} .2301488
{txt}c_tfull_ed~r {c |}{col 14}{res}{space 2}-.0114403{col 26}{space 2} .0021229{col 37}{space 1}   -5.39{col 46}{space 3}0.000{col 54}{space 4}-.0156284{col 67}{space 3}-.0072523
{txt}c_tfull_b_~x {c |}{col 14}{res}{space 2}-.0444239{col 26}{space 2} .0098167{col 37}{space 1}   -4.53{col 46}{space 3}0.000{col 54}{space 4}-.0637903{col 67}{space 3}-.0250575
{txt}{space 7}_cons {c |}{col 14}{res}{space 2}-.0199136{col 26}{space 2} .0156365{col 37}{space 1}   -1.27{col 46}{space 3}0.204{col 54}{space 4}-.0507613{col 67}{space 3} .0109341
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull = .149{p_end}

{txt}       F(  1,   186) ={res}   31.09
{txt}{col 13}Prob > F ={res}    0.0000

{p 0 7}{space 1}{text:( 1)}{space 1} treatfull = -.149{p_end}

{txt}       F(  1,   186) ={res}   65.21
{txt}{col 13}Prob > F ={res}    0.0000
{txt}note: b_treatqual_z_d omitted because of collinearity
{res}
{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}     7,288
{txt}{col 49}F({res}   8{txt},{res}    186{txt}){col 67}= {res}      6.45
{txt}{col 49}Prob > F{col 67}= {res}    0.0000
{txt}{col 49}R-squared{col 67}= {res}    0.0978
{txt}{col 49}Adj R-squared{col 67}= {res}    0.0950
{txt}{col 49}Root MSE{col 67}= {res}    0.3521

{txt}{ralign 78:(Std. Err. adjusted for {res:187} clusters in hc_id)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}e_treatq~l_z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2} .0702541{col 26}{space 2} .0263569{col 37}{space 1}    2.67{col 46}{space 3}0.008{col 54}{space 4} .0182572{col 67}{space 3}  .122251
{txt}b_treatq~l_z {c |}{col 14}{res}{space 2} .0975202{col 26}{space 2} .0201453{col 37}{space 1}    4.84{col 46}{space 3}0.000{col 54}{space 4} .0577777{col 67}{space 3} .1372628
{txt}b_trea~l_z_d {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 1}c_tfull_hc2 {c |}{col 14}{res}{space 2}-.0364872{col 26}{space 2} .0302334{col 37}{space 1}   -1.21{col 46}{space 3}0.229{col 54}{space 4}-.0961317{col 67}{space 3} .0231573
{txt}c_tfull_b_~l {c |}{col 14}{res}{space 2} .0347704{col 26}{space 2} .0357458{col 37}{space 1}    0.97{col 46}{space 3}0.332{col 54}{space 4}-.0357489{col 67}{space 3} .1052897
{txt}c_tfull_b_~s {c |}{col 14}{res}{space 2} .0245656{col 26}{space 2}  .041264{col 37}{space 1}    0.60{col 46}{space 3}0.552{col 54}{space 4}-.0568401{col 67}{space 3} .1059713
{txt}c_tfull_b_~d {c |}{col 14}{res}{space 2} .0272133{col 26}{space 2} .0158992{col 37}{space 1}    1.71{col 46}{space 3}0.089{col 54}{space 4}-.0041525{col 67}{space 3} .0585792
{txt}c_tfull_ed~r {c |}{col 14}{res}{space 2}-.0016339{col 26}{space 2} .0011181{col 37}{space 1}   -1.46{col 46}{space 3}0.146{col 54}{space 4}-.0038397{col 67}{space 3} .0005718
{txt}c_tfull_b_~x {c |}{col 14}{res}{space 2}-.0095979{col 26}{space 2} .0053077{col 37}{space 1}   -1.81{col 46}{space 3}0.072{col 54}{space 4} -.020069{col 67}{space 3} .0008732
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} .0005086{col 26}{space 2}  .020236{col 37}{space 1}    0.03{col 46}{space 3}0.980{col 54}{space 4}-.0394129{col 67}{space 3} .0404301
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull = .001{p_end}

{txt}       F(  1,   186) ={res}    6.90
{txt}{col 13}Prob > F ={res}    0.0093

{p 0 7}{space 1}{text:( 1)}{space 1} treatfull = -.001{p_end}

{txt}       F(  1,   186) ={res}    7.31
{txt}{col 13}Prob > F ={res}    0.0075
{txt}note: b_treatqual_z_d omitted because of collinearity
{res}
{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}     7,288
{txt}{col 49}F({res}   8{txt},{res}    186{txt}){col 67}= {res}      6.45
{txt}{col 49}Prob > F{col 67}= {res}    0.0000
{txt}{col 49}R-squared{col 67}= {res}    0.0978
{txt}{col 49}Adj R-squared{col 67}= {res}    0.0950
{txt}{col 49}Root MSE{col 67}= {res}    0.3521

{txt}{ralign 78:(Std. Err. adjusted for {res:187} clusters in hc_id)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}e_treatq~l_z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2} .0702541{col 26}{space 2} .0263569{col 37}{space 1}    2.67{col 46}{space 3}0.008{col 54}{space 4} .0182572{col 67}{space 3}  .122251
{txt}b_treatq~l_z {c |}{col 14}{res}{space 2} .0975202{col 26}{space 2} .0201453{col 37}{space 1}    4.84{col 46}{space 3}0.000{col 54}{space 4} .0577777{col 67}{space 3} .1372628
{txt}b_trea~l_z_d {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 1}c_tfull_hc2 {c |}{col 14}{res}{space 2}-.0364872{col 26}{space 2} .0302334{col 37}{space 1}   -1.21{col 46}{space 3}0.229{col 54}{space 4}-.0961317{col 67}{space 3} .0231573
{txt}c_tfull_b_~l {c |}{col 14}{res}{space 2} .0347704{col 26}{space 2} .0357458{col 37}{space 1}    0.97{col 46}{space 3}0.332{col 54}{space 4}-.0357489{col 67}{space 3} .1052897
{txt}c_tfull_b_~s {c |}{col 14}{res}{space 2} .0245656{col 26}{space 2}  .041264{col 37}{space 1}    0.60{col 46}{space 3}0.552{col 54}{space 4}-.0568401{col 67}{space 3} .1059713
{txt}c_tfull_b_~d {c |}{col 14}{res}{space 2} .0272133{col 26}{space 2} .0158992{col 37}{space 1}    1.71{col 46}{space 3}0.089{col 54}{space 4}-.0041525{col 67}{space 3} .0585792
{txt}c_tfull_ed~r {c |}{col 14}{res}{space 2}-.0016339{col 26}{space 2} .0011181{col 37}{space 1}   -1.46{col 46}{space 3}0.146{col 54}{space 4}-.0038397{col 67}{space 3} .0005718
{txt}c_tfull_b_~x {c |}{col 14}{res}{space 2}-.0095979{col 26}{space 2} .0053077{col 37}{space 1}   -1.81{col 46}{space 3}0.072{col 54}{space 4} -.020069{col 67}{space 3} .0008732
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} .0005086{col 26}{space 2}  .020236{col 37}{space 1}    0.03{col 46}{space 3}0.980{col 54}{space 4}-.0394129{col 67}{space 3} .0404301
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull = .002{p_end}

{txt}       F(  1,   186) ={res}    6.71
{txt}{col 13}Prob > F ={res}    0.0104

{p 0 7}{space 1}{text:( 1)}{space 1} treatfull = -.002{p_end}

{txt}       F(  1,   186) ={res}    7.52
{txt}{col 13}Prob > F ={res}    0.0067
{txt}note: b_treatqual_z_d omitted because of collinearity
{res}
{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}     7,288
{txt}{col 49}F({res}   8{txt},{res}    186{txt}){col 67}= {res}      6.45
{txt}{col 49}Prob > F{col 67}= {res}    0.0000
{txt}{col 49}R-squared{col 67}= {res}    0.0978
{txt}{col 49}Adj R-squared{col 67}= {res}    0.0950
{txt}{col 49}Root MSE{col 67}= {res}    0.3521

{txt}{ralign 78:(Std. Err. adjusted for {res:187} clusters in hc_id)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}e_treatq~l_z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2} .0702541{col 26}{space 2} .0263569{col 37}{space 1}    2.67{col 46}{space 3}0.008{col 54}{space 4} .0182572{col 67}{space 3}  .122251
{txt}b_treatq~l_z {c |}{col 14}{res}{space 2} .0975202{col 26}{space 2} .0201453{col 37}{space 1}    4.84{col 46}{space 3}0.000{col 54}{space 4} .0577777{col 67}{space 3} .1372628
{txt}b_trea~l_z_d {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 1}c_tfull_hc2 {c |}{col 14}{res}{space 2}-.0364872{col 26}{space 2} .0302334{col 37}{space 1}   -1.21{col 46}{space 3}0.229{col 54}{space 4}-.0961317{col 67}{space 3} .0231573
{txt}c_tfull_b_~l {c |}{col 14}{res}{space 2} .0347704{col 26}{space 2} .0357458{col 37}{space 1}    0.97{col 46}{space 3}0.332{col 54}{space 4}-.0357489{col 67}{space 3} .1052897
{txt}c_tfull_b_~s {c |}{col 14}{res}{space 2} .0245656{col 26}{space 2}  .041264{col 37}{space 1}    0.60{col 46}{space 3}0.552{col 54}{space 4}-.0568401{col 67}{space 3} .1059713
{txt}c_tfull_b_~d {c |}{col 14}{res}{space 2} .0272133{col 26}{space 2} .0158992{col 37}{space 1}    1.71{col 46}{space 3}0.089{col 54}{space 4}-.0041525{col 67}{space 3} .0585792
{txt}c_tfull_ed~r {c |}{col 14}{res}{space 2}-.0016339{col 26}{space 2} .0011181{col 37}{space 1}   -1.46{col 46}{space 3}0.146{col 54}{space 4}-.0038397{col 67}{space 3} .0005718
{txt}c_tfull_b_~x {c |}{col 14}{res}{space 2}-.0095979{col 26}{space 2} .0053077{col 37}{space 1}   -1.81{col 46}{space 3}0.072{col 54}{space 4} -.020069{col 67}{space 3} .0008732
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} .0005086{col 26}{space 2}  .020236{col 37}{space 1}    0.03{col 46}{space 3}0.980{col 54}{space 4}-.0394129{col 67}{space 3} .0404301
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull = .003{p_end}

{txt}       F(  1,   186) ={res}    6.51
{txt}{col 13}Prob > F ={res}    0.0115

{p 0 7}{space 1}{text:( 1)}{space 1} treatfull = -.003{p_end}

{txt}       F(  1,   186) ={res}    7.72
{txt}{col 13}Prob > F ={res}    0.0060
{txt}note: b_treatqual_z_d omitted because of collinearity
{res}
{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}     7,288
{txt}{col 49}F({res}   8{txt},{res}    186{txt}){col 67}= {res}      6.45
{txt}{col 49}Prob > F{col 67}= {res}    0.0000
{txt}{col 49}R-squared{col 67}= {res}    0.0978
{txt}{col 49}Adj R-squared{col 67}= {res}    0.0950
{txt}{col 49}Root MSE{col 67}= {res}    0.3521

{txt}{ralign 78:(Std. Err. adjusted for {res:187} clusters in hc_id)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}e_treatq~l_z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2} .0702541{col 26}{space 2} .0263569{col 37}{space 1}    2.67{col 46}{space 3}0.008{col 54}{space 4} .0182572{col 67}{space 3}  .122251
{txt}b_treatq~l_z {c |}{col 14}{res}{space 2} .0975202{col 26}{space 2} .0201453{col 37}{space 1}    4.84{col 46}{space 3}0.000{col 54}{space 4} .0577777{col 67}{space 3} .1372628
{txt}b_trea~l_z_d {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 1}c_tfull_hc2 {c |}{col 14}{res}{space 2}-.0364872{col 26}{space 2} .0302334{col 37}{space 1}   -1.21{col 46}{space 3}0.229{col 54}{space 4}-.0961317{col 67}{space 3} .0231573
{txt}c_tfull_b_~l {c |}{col 14}{res}{space 2} .0347704{col 26}{space 2} .0357458{col 37}{space 1}    0.97{col 46}{space 3}0.332{col 54}{space 4}-.0357489{col 67}{space 3} .1052897
{txt}c_tfull_b_~s {c |}{col 14}{res}{space 2} .0245656{col 26}{space 2}  .041264{col 37}{space 1}    0.60{col 46}{space 3}0.552{col 54}{space 4}-.0568401{col 67}{space 3} .1059713
{txt}c_tfull_b_~d {c |}{col 14}{res}{space 2} .0272133{col 26}{space 2} .0158992{col 37}{space 1}    1.71{col 46}{space 3}0.089{col 54}{space 4}-.0041525{col 67}{space 3} .0585792
{txt}c_tfull_ed~r {c |}{col 14}{res}{space 2}-.0016339{col 26}{space 2} .0011181{col 37}{space 1}   -1.46{col 46}{space 3}0.146{col 54}{space 4}-.0038397{col 67}{space 3} .0005718
{txt}c_tfull_b_~x {c |}{col 14}{res}{space 2}-.0095979{col 26}{space 2} .0053077{col 37}{space 1}   -1.81{col 46}{space 3}0.072{col 54}{space 4} -.020069{col 67}{space 3} .0008732
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} .0005086{col 26}{space 2}  .020236{col 37}{space 1}    0.03{col 46}{space 3}0.980{col 54}{space 4}-.0394129{col 67}{space 3} .0404301
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull = .004{p_end}

{txt}       F(  1,   186) ={res}    6.32
{txt}{col 13}Prob > F ={res}    0.0128

{p 0 7}{space 1}{text:( 1)}{space 1} treatfull = -.004{p_end}

{txt}       F(  1,   186) ={res}    7.94
{txt}{col 13}Prob > F ={res}    0.0054
{txt}note: b_treatqual_z_d omitted because of collinearity
{res}
{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}     7,288
{txt}{col 49}F({res}   8{txt},{res}    186{txt}){col 67}= {res}      6.45
{txt}{col 49}Prob > F{col 67}= {res}    0.0000
{txt}{col 49}R-squared{col 67}= {res}    0.0978
{txt}{col 49}Adj R-squared{col 67}= {res}    0.0950
{txt}{col 49}Root MSE{col 67}= {res}    0.3521

{txt}{ralign 78:(Std. Err. adjusted for {res:187} clusters in hc_id)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}e_treatq~l_z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2} .0702541{col 26}{space 2} .0263569{col 37}{space 1}    2.67{col 46}{space 3}0.008{col 54}{space 4} .0182572{col 67}{space 3}  .122251
{txt}b_treatq~l_z {c |}{col 14}{res}{space 2} .0975202{col 26}{space 2} .0201453{col 37}{space 1}    4.84{col 46}{space 3}0.000{col 54}{space 4} .0577777{col 67}{space 3} .1372628
{txt}b_trea~l_z_d {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 1}c_tfull_hc2 {c |}{col 14}{res}{space 2}-.0364872{col 26}{space 2} .0302334{col 37}{space 1}   -1.21{col 46}{space 3}0.229{col 54}{space 4}-.0961317{col 67}{space 3} .0231573
{txt}c_tfull_b_~l {c |}{col 14}{res}{space 2} .0347704{col 26}{space 2} .0357458{col 37}{space 1}    0.97{col 46}{space 3}0.332{col 54}{space 4}-.0357489{col 67}{space 3} .1052897
{txt}c_tfull_b_~s {c |}{col 14}{res}{space 2} .0245656{col 26}{space 2}  .041264{col 37}{space 1}    0.60{col 46}{space 3}0.552{col 54}{space 4}-.0568401{col 67}{space 3} .1059713
{txt}c_tfull_b_~d {c |}{col 14}{res}{space 2} .0272133{col 26}{space 2} .0158992{col 37}{space 1}    1.71{col 46}{space 3}0.089{col 54}{space 4}-.0041525{col 67}{space 3} .0585792
{txt}c_tfull_ed~r {c |}{col 14}{res}{space 2}-.0016339{col 26}{space 2} .0011181{col 37}{space 1}   -1.46{col 46}{space 3}0.146{col 54}{space 4}-.0038397{col 67}{space 3} .0005718
{txt}c_tfull_b_~x {c |}{col 14}{res}{space 2}-.0095979{col 26}{space 2} .0053077{col 37}{space 1}   -1.81{col 46}{space 3}0.072{col 54}{space 4} -.020069{col 67}{space 3} .0008732
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} .0005086{col 26}{space 2}  .020236{col 37}{space 1}    0.03{col 46}{space 3}0.980{col 54}{space 4}-.0394129{col 67}{space 3} .0404301
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull = .005{p_end}

{txt}       F(  1,   186) ={res}    6.13
{txt}{col 13}Prob > F ={res}    0.0142

{p 0 7}{space 1}{text:( 1)}{space 1} treatfull = -.005{p_end}

{txt}       F(  1,   186) ={res}    8.15
{txt}{col 13}Prob > F ={res}    0.0048
{txt}note: b_treatqual_z_d omitted because of collinearity
{res}
{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}     7,288
{txt}{col 49}F({res}   8{txt},{res}    186{txt}){col 67}= {res}      6.45
{txt}{col 49}Prob > F{col 67}= {res}    0.0000
{txt}{col 49}R-squared{col 67}= {res}    0.0978
{txt}{col 49}Adj R-squared{col 67}= {res}    0.0950
{txt}{col 49}Root MSE{col 67}= {res}    0.3521

{txt}{ralign 78:(Std. Err. adjusted for {res:187} clusters in hc_id)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}e_treatq~l_z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2} .0702541{col 26}{space 2} .0263569{col 37}{space 1}    2.67{col 46}{space 3}0.008{col 54}{space 4} .0182572{col 67}{space 3}  .122251
{txt}b_treatq~l_z {c |}{col 14}{res}{space 2} .0975202{col 26}{space 2} .0201453{col 37}{space 1}    4.84{col 46}{space 3}0.000{col 54}{space 4} .0577777{col 67}{space 3} .1372628
{txt}b_trea~l_z_d {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 1}c_tfull_hc2 {c |}{col 14}{res}{space 2}-.0364872{col 26}{space 2} .0302334{col 37}{space 1}   -1.21{col 46}{space 3}0.229{col 54}{space 4}-.0961317{col 67}{space 3} .0231573
{txt}c_tfull_b_~l {c |}{col 14}{res}{space 2} .0347704{col 26}{space 2} .0357458{col 37}{space 1}    0.97{col 46}{space 3}0.332{col 54}{space 4}-.0357489{col 67}{space 3} .1052897
{txt}c_tfull_b_~s {c |}{col 14}{res}{space 2} .0245656{col 26}{space 2}  .041264{col 37}{space 1}    0.60{col 46}{space 3}0.552{col 54}{space 4}-.0568401{col 67}{space 3} .1059713
{txt}c_tfull_b_~d {c |}{col 14}{res}{space 2} .0272133{col 26}{space 2} .0158992{col 37}{space 1}    1.71{col 46}{space 3}0.089{col 54}{space 4}-.0041525{col 67}{space 3} .0585792
{txt}c_tfull_ed~r {c |}{col 14}{res}{space 2}-.0016339{col 26}{space 2} .0011181{col 37}{space 1}   -1.46{col 46}{space 3}0.146{col 54}{space 4}-.0038397{col 67}{space 3} .0005718
{txt}c_tfull_b_~x {c |}{col 14}{res}{space 2}-.0095979{col 26}{space 2} .0053077{col 37}{space 1}   -1.81{col 46}{space 3}0.072{col 54}{space 4} -.020069{col 67}{space 3} .0008732
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} .0005086{col 26}{space 2}  .020236{col 37}{space 1}    0.03{col 46}{space 3}0.980{col 54}{space 4}-.0394129{col 67}{space 3} .0404301
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull = .006{p_end}

{txt}       F(  1,   186) ={res}    5.94
{txt}{col 13}Prob > F ={res}    0.0157

{p 0 7}{space 1}{text:( 1)}{space 1} treatfull = -.006{p_end}

{txt}       F(  1,   186) ={res}    8.37
{txt}{col 13}Prob > F ={res}    0.0043
{txt}note: b_treatqual_z_d omitted because of collinearity
{res}
{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}     7,288
{txt}{col 49}F({res}   8{txt},{res}    186{txt}){col 67}= {res}      6.45
{txt}{col 49}Prob > F{col 67}= {res}    0.0000
{txt}{col 49}R-squared{col 67}= {res}    0.0978
{txt}{col 49}Adj R-squared{col 67}= {res}    0.0950
{txt}{col 49}Root MSE{col 67}= {res}    0.3521

{txt}{ralign 78:(Std. Err. adjusted for {res:187} clusters in hc_id)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}e_treatq~l_z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2} .0702541{col 26}{space 2} .0263569{col 37}{space 1}    2.67{col 46}{space 3}0.008{col 54}{space 4} .0182572{col 67}{space 3}  .122251
{txt}b_treatq~l_z {c |}{col 14}{res}{space 2} .0975202{col 26}{space 2} .0201453{col 37}{space 1}    4.84{col 46}{space 3}0.000{col 54}{space 4} .0577777{col 67}{space 3} .1372628
{txt}b_trea~l_z_d {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 1}c_tfull_hc2 {c |}{col 14}{res}{space 2}-.0364872{col 26}{space 2} .0302334{col 37}{space 1}   -1.21{col 46}{space 3}0.229{col 54}{space 4}-.0961317{col 67}{space 3} .0231573
{txt}c_tfull_b_~l {c |}{col 14}{res}{space 2} .0347704{col 26}{space 2} .0357458{col 37}{space 1}    0.97{col 46}{space 3}0.332{col 54}{space 4}-.0357489{col 67}{space 3} .1052897
{txt}c_tfull_b_~s {c |}{col 14}{res}{space 2} .0245656{col 26}{space 2}  .041264{col 37}{space 1}    0.60{col 46}{space 3}0.552{col 54}{space 4}-.0568401{col 67}{space 3} .1059713
{txt}c_tfull_b_~d {c |}{col 14}{res}{space 2} .0272133{col 26}{space 2} .0158992{col 37}{space 1}    1.71{col 46}{space 3}0.089{col 54}{space 4}-.0041525{col 67}{space 3} .0585792
{txt}c_tfull_ed~r {c |}{col 14}{res}{space 2}-.0016339{col 26}{space 2} .0011181{col 37}{space 1}   -1.46{col 46}{space 3}0.146{col 54}{space 4}-.0038397{col 67}{space 3} .0005718
{txt}c_tfull_b_~x {c |}{col 14}{res}{space 2}-.0095979{col 26}{space 2} .0053077{col 37}{space 1}   -1.81{col 46}{space 3}0.072{col 54}{space 4} -.020069{col 67}{space 3} .0008732
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} .0005086{col 26}{space 2}  .020236{col 37}{space 1}    0.03{col 46}{space 3}0.980{col 54}{space 4}-.0394129{col 67}{space 3} .0404301
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull = .007{p_end}

{txt}       F(  1,   186) ={res}    5.76
{txt}{col 13}Prob > F ={res}    0.0174

{p 0 7}{space 1}{text:( 1)}{space 1} treatfull = -.007{p_end}

{txt}       F(  1,   186) ={res}    8.59
{txt}{col 13}Prob > F ={res}    0.0038
{txt}note: b_treatqual_z_d omitted because of collinearity
{res}
{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}     7,288
{txt}{col 49}F({res}   8{txt},{res}    186{txt}){col 67}= {res}      6.45
{txt}{col 49}Prob > F{col 67}= {res}    0.0000
{txt}{col 49}R-squared{col 67}= {res}    0.0978
{txt}{col 49}Adj R-squared{col 67}= {res}    0.0950
{txt}{col 49}Root MSE{col 67}= {res}    0.3521

{txt}{ralign 78:(Std. Err. adjusted for {res:187} clusters in hc_id)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}e_treatq~l_z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2} .0702541{col 26}{space 2} .0263569{col 37}{space 1}    2.67{col 46}{space 3}0.008{col 54}{space 4} .0182572{col 67}{space 3}  .122251
{txt}b_treatq~l_z {c |}{col 14}{res}{space 2} .0975202{col 26}{space 2} .0201453{col 37}{space 1}    4.84{col 46}{space 3}0.000{col 54}{space 4} .0577777{col 67}{space 3} .1372628
{txt}b_trea~l_z_d {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 1}c_tfull_hc2 {c |}{col 14}{res}{space 2}-.0364872{col 26}{space 2} .0302334{col 37}{space 1}   -1.21{col 46}{space 3}0.229{col 54}{space 4}-.0961317{col 67}{space 3} .0231573
{txt}c_tfull_b_~l {c |}{col 14}{res}{space 2} .0347704{col 26}{space 2} .0357458{col 37}{space 1}    0.97{col 46}{space 3}0.332{col 54}{space 4}-.0357489{col 67}{space 3} .1052897
{txt}c_tfull_b_~s {c |}{col 14}{res}{space 2} .0245656{col 26}{space 2}  .041264{col 37}{space 1}    0.60{col 46}{space 3}0.552{col 54}{space 4}-.0568401{col 67}{space 3} .1059713
{txt}c_tfull_b_~d {c |}{col 14}{res}{space 2} .0272133{col 26}{space 2} .0158992{col 37}{space 1}    1.71{col 46}{space 3}0.089{col 54}{space 4}-.0041525{col 67}{space 3} .0585792
{txt}c_tfull_ed~r {c |}{col 14}{res}{space 2}-.0016339{col 26}{space 2} .0011181{col 37}{space 1}   -1.46{col 46}{space 3}0.146{col 54}{space 4}-.0038397{col 67}{space 3} .0005718
{txt}c_tfull_b_~x {c |}{col 14}{res}{space 2}-.0095979{col 26}{space 2} .0053077{col 37}{space 1}   -1.81{col 46}{space 3}0.072{col 54}{space 4} -.020069{col 67}{space 3} .0008732
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} .0005086{col 26}{space 2}  .020236{col 37}{space 1}    0.03{col 46}{space 3}0.980{col 54}{space 4}-.0394129{col 67}{space 3} .0404301
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull = .008{p_end}

{txt}       F(  1,   186) ={res}    5.58
{txt}{col 13}Prob > F ={res}    0.0192

{p 0 7}{space 1}{text:( 1)}{space 1} treatfull = -.008{p_end}

{txt}       F(  1,   186) ={res}    8.82
{txt}{col 13}Prob > F ={res}    0.0034
{txt}note: b_treatqual_z_d omitted because of collinearity
{res}
{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}     7,288
{txt}{col 49}F({res}   8{txt},{res}    186{txt}){col 67}= {res}      6.45
{txt}{col 49}Prob > F{col 67}= {res}    0.0000
{txt}{col 49}R-squared{col 67}= {res}    0.0978
{txt}{col 49}Adj R-squared{col 67}= {res}    0.0950
{txt}{col 49}Root MSE{col 67}= {res}    0.3521

{txt}{ralign 78:(Std. Err. adjusted for {res:187} clusters in hc_id)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}e_treatq~l_z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2} .0702541{col 26}{space 2} .0263569{col 37}{space 1}    2.67{col 46}{space 3}0.008{col 54}{space 4} .0182572{col 67}{space 3}  .122251
{txt}b_treatq~l_z {c |}{col 14}{res}{space 2} .0975202{col 26}{space 2} .0201453{col 37}{space 1}    4.84{col 46}{space 3}0.000{col 54}{space 4} .0577777{col 67}{space 3} .1372628
{txt}b_trea~l_z_d {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 1}c_tfull_hc2 {c |}{col 14}{res}{space 2}-.0364872{col 26}{space 2} .0302334{col 37}{space 1}   -1.21{col 46}{space 3}0.229{col 54}{space 4}-.0961317{col 67}{space 3} .0231573
{txt}c_tfull_b_~l {c |}{col 14}{res}{space 2} .0347704{col 26}{space 2} .0357458{col 37}{space 1}    0.97{col 46}{space 3}0.332{col 54}{space 4}-.0357489{col 67}{space 3} .1052897
{txt}c_tfull_b_~s {c |}{col 14}{res}{space 2} .0245656{col 26}{space 2}  .041264{col 37}{space 1}    0.60{col 46}{space 3}0.552{col 54}{space 4}-.0568401{col 67}{space 3} .1059713
{txt}c_tfull_b_~d {c |}{col 14}{res}{space 2} .0272133{col 26}{space 2} .0158992{col 37}{space 1}    1.71{col 46}{space 3}0.089{col 54}{space 4}-.0041525{col 67}{space 3} .0585792
{txt}c_tfull_ed~r {c |}{col 14}{res}{space 2}-.0016339{col 26}{space 2} .0011181{col 37}{space 1}   -1.46{col 46}{space 3}0.146{col 54}{space 4}-.0038397{col 67}{space 3} .0005718
{txt}c_tfull_b_~x {c |}{col 14}{res}{space 2}-.0095979{col 26}{space 2} .0053077{col 37}{space 1}   -1.81{col 46}{space 3}0.072{col 54}{space 4} -.020069{col 67}{space 3} .0008732
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} .0005086{col 26}{space 2}  .020236{col 37}{space 1}    0.03{col 46}{space 3}0.980{col 54}{space 4}-.0394129{col 67}{space 3} .0404301
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull = .009{p_end}

{txt}       F(  1,   186) ={res}    5.40
{txt}{col 13}Prob > F ={res}    0.0212

{p 0 7}{space 1}{text:( 1)}{space 1} treatfull = -.009{p_end}

{txt}       F(  1,   186) ={res}    9.04
{txt}{col 13}Prob > F ={res}    0.0030
{txt}note: b_treatqual_z_d omitted because of collinearity
{res}
{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}     7,288
{txt}{col 49}F({res}   8{txt},{res}    186{txt}){col 67}= {res}      6.45
{txt}{col 49}Prob > F{col 67}= {res}    0.0000
{txt}{col 49}R-squared{col 67}= {res}    0.0978
{txt}{col 49}Adj R-squared{col 67}= {res}    0.0950
{txt}{col 49}Root MSE{col 67}= {res}    0.3521

{txt}{ralign 78:(Std. Err. adjusted for {res:187} clusters in hc_id)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}e_treatq~l_z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2} .0702541{col 26}{space 2} .0263569{col 37}{space 1}    2.67{col 46}{space 3}0.008{col 54}{space 4} .0182572{col 67}{space 3}  .122251
{txt}b_treatq~l_z {c |}{col 14}{res}{space 2} .0975202{col 26}{space 2} .0201453{col 37}{space 1}    4.84{col 46}{space 3}0.000{col 54}{space 4} .0577777{col 67}{space 3} .1372628
{txt}b_trea~l_z_d {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 1}c_tfull_hc2 {c |}{col 14}{res}{space 2}-.0364872{col 26}{space 2} .0302334{col 37}{space 1}   -1.21{col 46}{space 3}0.229{col 54}{space 4}-.0961317{col 67}{space 3} .0231573
{txt}c_tfull_b_~l {c |}{col 14}{res}{space 2} .0347704{col 26}{space 2} .0357458{col 37}{space 1}    0.97{col 46}{space 3}0.332{col 54}{space 4}-.0357489{col 67}{space 3} .1052897
{txt}c_tfull_b_~s {c |}{col 14}{res}{space 2} .0245656{col 26}{space 2}  .041264{col 37}{space 1}    0.60{col 46}{space 3}0.552{col 54}{space 4}-.0568401{col 67}{space 3} .1059713
{txt}c_tfull_b_~d {c |}{col 14}{res}{space 2} .0272133{col 26}{space 2} .0158992{col 37}{space 1}    1.71{col 46}{space 3}0.089{col 54}{space 4}-.0041525{col 67}{space 3} .0585792
{txt}c_tfull_ed~r {c |}{col 14}{res}{space 2}-.0016339{col 26}{space 2} .0011181{col 37}{space 1}   -1.46{col 46}{space 3}0.146{col 54}{space 4}-.0038397{col 67}{space 3} .0005718
{txt}c_tfull_b_~x {c |}{col 14}{res}{space 2}-.0095979{col 26}{space 2} .0053077{col 37}{space 1}   -1.81{col 46}{space 3}0.072{col 54}{space 4} -.020069{col 67}{space 3} .0008732
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} .0005086{col 26}{space 2}  .020236{col 37}{space 1}    0.03{col 46}{space 3}0.980{col 54}{space 4}-.0394129{col 67}{space 3} .0404301
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull = .01{p_end}

{txt}       F(  1,   186) ={res}    5.23
{txt}{col 13}Prob > F ={res}    0.0234

{p 0 7}{space 1}{text:( 1)}{space 1} treatfull = -.01{p_end}

{txt}       F(  1,   186) ={res}    9.27
{txt}{col 13}Prob > F ={res}    0.0027
{txt}note: b_treatqual_z_d omitted because of collinearity
{res}
{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}     7,288
{txt}{col 49}F({res}   8{txt},{res}    186{txt}){col 67}= {res}      6.45
{txt}{col 49}Prob > F{col 67}= {res}    0.0000
{txt}{col 49}R-squared{col 67}= {res}    0.0978
{txt}{col 49}Adj R-squared{col 67}= {res}    0.0950
{txt}{col 49}Root MSE{col 67}= {res}    0.3521

{txt}{ralign 78:(Std. Err. adjusted for {res:187} clusters in hc_id)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}e_treatq~l_z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2} .0702541{col 26}{space 2} .0263569{col 37}{space 1}    2.67{col 46}{space 3}0.008{col 54}{space 4} .0182572{col 67}{space 3}  .122251
{txt}b_treatq~l_z {c |}{col 14}{res}{space 2} .0975202{col 26}{space 2} .0201453{col 37}{space 1}    4.84{col 46}{space 3}0.000{col 54}{space 4} .0577777{col 67}{space 3} .1372628
{txt}b_trea~l_z_d {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 1}c_tfull_hc2 {c |}{col 14}{res}{space 2}-.0364872{col 26}{space 2} .0302334{col 37}{space 1}   -1.21{col 46}{space 3}0.229{col 54}{space 4}-.0961317{col 67}{space 3} .0231573
{txt}c_tfull_b_~l {c |}{col 14}{res}{space 2} .0347704{col 26}{space 2} .0357458{col 37}{space 1}    0.97{col 46}{space 3}0.332{col 54}{space 4}-.0357489{col 67}{space 3} .1052897
{txt}c_tfull_b_~s {c |}{col 14}{res}{space 2} .0245656{col 26}{space 2}  .041264{col 37}{space 1}    0.60{col 46}{space 3}0.552{col 54}{space 4}-.0568401{col 67}{space 3} .1059713
{txt}c_tfull_b_~d {c |}{col 14}{res}{space 2} .0272133{col 26}{space 2} .0158992{col 37}{space 1}    1.71{col 46}{space 3}0.089{col 54}{space 4}-.0041525{col 67}{space 3} .0585792
{txt}c_tfull_ed~r {c |}{col 14}{res}{space 2}-.0016339{col 26}{space 2} .0011181{col 37}{space 1}   -1.46{col 46}{space 3}0.146{col 54}{space 4}-.0038397{col 67}{space 3} .0005718
{txt}c_tfull_b_~x {c |}{col 14}{res}{space 2}-.0095979{col 26}{space 2} .0053077{col 37}{space 1}   -1.81{col 46}{space 3}0.072{col 54}{space 4} -.020069{col 67}{space 3} .0008732
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} .0005086{col 26}{space 2}  .020236{col 37}{space 1}    0.03{col 46}{space 3}0.980{col 54}{space 4}-.0394129{col 67}{space 3} .0404301
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull = .011{p_end}

{txt}       F(  1,   186) ={res}    5.05
{txt}{col 13}Prob > F ={res}    0.0257

{p 0 7}{space 1}{text:( 1)}{space 1} treatfull = -.011{p_end}

{txt}       F(  1,   186) ={res}    9.50
{txt}{col 13}Prob > F ={res}    0.0024
{txt}note: b_treatqual_z_d omitted because of collinearity
{res}
{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}     7,288
{txt}{col 49}F({res}   8{txt},{res}    186{txt}){col 67}= {res}      6.45
{txt}{col 49}Prob > F{col 67}= {res}    0.0000
{txt}{col 49}R-squared{col 67}= {res}    0.0978
{txt}{col 49}Adj R-squared{col 67}= {res}    0.0950
{txt}{col 49}Root MSE{col 67}= {res}    0.3521

{txt}{ralign 78:(Std. Err. adjusted for {res:187} clusters in hc_id)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}e_treatq~l_z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2} .0702541{col 26}{space 2} .0263569{col 37}{space 1}    2.67{col 46}{space 3}0.008{col 54}{space 4} .0182572{col 67}{space 3}  .122251
{txt}b_treatq~l_z {c |}{col 14}{res}{space 2} .0975202{col 26}{space 2} .0201453{col 37}{space 1}    4.84{col 46}{space 3}0.000{col 54}{space 4} .0577777{col 67}{space 3} .1372628
{txt}b_trea~l_z_d {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 1}c_tfull_hc2 {c |}{col 14}{res}{space 2}-.0364872{col 26}{space 2} .0302334{col 37}{space 1}   -1.21{col 46}{space 3}0.229{col 54}{space 4}-.0961317{col 67}{space 3} .0231573
{txt}c_tfull_b_~l {c |}{col 14}{res}{space 2} .0347704{col 26}{space 2} .0357458{col 37}{space 1}    0.97{col 46}{space 3}0.332{col 54}{space 4}-.0357489{col 67}{space 3} .1052897
{txt}c_tfull_b_~s {c |}{col 14}{res}{space 2} .0245656{col 26}{space 2}  .041264{col 37}{space 1}    0.60{col 46}{space 3}0.552{col 54}{space 4}-.0568401{col 67}{space 3} .1059713
{txt}c_tfull_b_~d {c |}{col 14}{res}{space 2} .0272133{col 26}{space 2} .0158992{col 37}{space 1}    1.71{col 46}{space 3}0.089{col 54}{space 4}-.0041525{col 67}{space 3} .0585792
{txt}c_tfull_ed~r {c |}{col 14}{res}{space 2}-.0016339{col 26}{space 2} .0011181{col 37}{space 1}   -1.46{col 46}{space 3}0.146{col 54}{space 4}-.0038397{col 67}{space 3} .0005718
{txt}c_tfull_b_~x {c |}{col 14}{res}{space 2}-.0095979{col 26}{space 2} .0053077{col 37}{space 1}   -1.81{col 46}{space 3}0.072{col 54}{space 4} -.020069{col 67}{space 3} .0008732
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} .0005086{col 26}{space 2}  .020236{col 37}{space 1}    0.03{col 46}{space 3}0.980{col 54}{space 4}-.0394129{col 67}{space 3} .0404301
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull = .012{p_end}

{txt}       F(  1,   186) ={res}    4.88
{txt}{col 13}Prob > F ={res}    0.0283

{p 0 7}{space 1}{text:( 1)}{space 1} treatfull = -.012{p_end}

{txt}       F(  1,   186) ={res}    9.74
{txt}{col 13}Prob > F ={res}    0.0021
{txt}note: b_treatqual_z_d omitted because of collinearity
{res}
{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}     7,288
{txt}{col 49}F({res}   8{txt},{res}    186{txt}){col 67}= {res}      6.45
{txt}{col 49}Prob > F{col 67}= {res}    0.0000
{txt}{col 49}R-squared{col 67}= {res}    0.0978
{txt}{col 49}Adj R-squared{col 67}= {res}    0.0950
{txt}{col 49}Root MSE{col 67}= {res}    0.3521

{txt}{ralign 78:(Std. Err. adjusted for {res:187} clusters in hc_id)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}e_treatq~l_z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2} .0702541{col 26}{space 2} .0263569{col 37}{space 1}    2.67{col 46}{space 3}0.008{col 54}{space 4} .0182572{col 67}{space 3}  .122251
{txt}b_treatq~l_z {c |}{col 14}{res}{space 2} .0975202{col 26}{space 2} .0201453{col 37}{space 1}    4.84{col 46}{space 3}0.000{col 54}{space 4} .0577777{col 67}{space 3} .1372628
{txt}b_trea~l_z_d {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 1}c_tfull_hc2 {c |}{col 14}{res}{space 2}-.0364872{col 26}{space 2} .0302334{col 37}{space 1}   -1.21{col 46}{space 3}0.229{col 54}{space 4}-.0961317{col 67}{space 3} .0231573
{txt}c_tfull_b_~l {c |}{col 14}{res}{space 2} .0347704{col 26}{space 2} .0357458{col 37}{space 1}    0.97{col 46}{space 3}0.332{col 54}{space 4}-.0357489{col 67}{space 3} .1052897
{txt}c_tfull_b_~s {c |}{col 14}{res}{space 2} .0245656{col 26}{space 2}  .041264{col 37}{space 1}    0.60{col 46}{space 3}0.552{col 54}{space 4}-.0568401{col 67}{space 3} .1059713
{txt}c_tfull_b_~d {c |}{col 14}{res}{space 2} .0272133{col 26}{space 2} .0158992{col 37}{space 1}    1.71{col 46}{space 3}0.089{col 54}{space 4}-.0041525{col 67}{space 3} .0585792
{txt}c_tfull_ed~r {c |}{col 14}{res}{space 2}-.0016339{col 26}{space 2} .0011181{col 37}{space 1}   -1.46{col 46}{space 3}0.146{col 54}{space 4}-.0038397{col 67}{space 3} .0005718
{txt}c_tfull_b_~x {c |}{col 14}{res}{space 2}-.0095979{col 26}{space 2} .0053077{col 37}{space 1}   -1.81{col 46}{space 3}0.072{col 54}{space 4} -.020069{col 67}{space 3} .0008732
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} .0005086{col 26}{space 2}  .020236{col 37}{space 1}    0.03{col 46}{space 3}0.980{col 54}{space 4}-.0394129{col 67}{space 3} .0404301
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull = .013{p_end}

{txt}       F(  1,   186) ={res}    4.72
{txt}{col 13}Prob > F ={res}    0.0311

{p 0 7}{space 1}{text:( 1)}{space 1} treatfull = -.013{p_end}

{txt}       F(  1,   186) ={res}    9.98
{txt}{col 13}Prob > F ={res}    0.0018
{txt}note: b_treatqual_z_d omitted because of collinearity
{res}
{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}     7,288
{txt}{col 49}F({res}   8{txt},{res}    186{txt}){col 67}= {res}      6.45
{txt}{col 49}Prob > F{col 67}= {res}    0.0000
{txt}{col 49}R-squared{col 67}= {res}    0.0978
{txt}{col 49}Adj R-squared{col 67}= {res}    0.0950
{txt}{col 49}Root MSE{col 67}= {res}    0.3521

{txt}{ralign 78:(Std. Err. adjusted for {res:187} clusters in hc_id)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}e_treatq~l_z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2} .0702541{col 26}{space 2} .0263569{col 37}{space 1}    2.67{col 46}{space 3}0.008{col 54}{space 4} .0182572{col 67}{space 3}  .122251
{txt}b_treatq~l_z {c |}{col 14}{res}{space 2} .0975202{col 26}{space 2} .0201453{col 37}{space 1}    4.84{col 46}{space 3}0.000{col 54}{space 4} .0577777{col 67}{space 3} .1372628
{txt}b_trea~l_z_d {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 1}c_tfull_hc2 {c |}{col 14}{res}{space 2}-.0364872{col 26}{space 2} .0302334{col 37}{space 1}   -1.21{col 46}{space 3}0.229{col 54}{space 4}-.0961317{col 67}{space 3} .0231573
{txt}c_tfull_b_~l {c |}{col 14}{res}{space 2} .0347704{col 26}{space 2} .0357458{col 37}{space 1}    0.97{col 46}{space 3}0.332{col 54}{space 4}-.0357489{col 67}{space 3} .1052897
{txt}c_tfull_b_~s {c |}{col 14}{res}{space 2} .0245656{col 26}{space 2}  .041264{col 37}{space 1}    0.60{col 46}{space 3}0.552{col 54}{space 4}-.0568401{col 67}{space 3} .1059713
{txt}c_tfull_b_~d {c |}{col 14}{res}{space 2} .0272133{col 26}{space 2} .0158992{col 37}{space 1}    1.71{col 46}{space 3}0.089{col 54}{space 4}-.0041525{col 67}{space 3} .0585792
{txt}c_tfull_ed~r {c |}{col 14}{res}{space 2}-.0016339{col 26}{space 2} .0011181{col 37}{space 1}   -1.46{col 46}{space 3}0.146{col 54}{space 4}-.0038397{col 67}{space 3} .0005718
{txt}c_tfull_b_~x {c |}{col 14}{res}{space 2}-.0095979{col 26}{space 2} .0053077{col 37}{space 1}   -1.81{col 46}{space 3}0.072{col 54}{space 4} -.020069{col 67}{space 3} .0008732
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} .0005086{col 26}{space 2}  .020236{col 37}{space 1}    0.03{col 46}{space 3}0.980{col 54}{space 4}-.0394129{col 67}{space 3} .0404301
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull = .014{p_end}

{txt}       F(  1,   186) ={res}    4.56
{txt}{col 13}Prob > F ={res}    0.0341

{p 0 7}{space 1}{text:( 1)}{space 1} treatfull = -.014{p_end}

{txt}       F(  1,   186) ={res}   10.22
{txt}{col 13}Prob > F ={res}    0.0016
{txt}note: b_treatqual_z_d omitted because of collinearity
{res}
{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}     7,288
{txt}{col 49}F({res}   8{txt},{res}    186{txt}){col 67}= {res}      6.45
{txt}{col 49}Prob > F{col 67}= {res}    0.0000
{txt}{col 49}R-squared{col 67}= {res}    0.0978
{txt}{col 49}Adj R-squared{col 67}= {res}    0.0950
{txt}{col 49}Root MSE{col 67}= {res}    0.3521

{txt}{ralign 78:(Std. Err. adjusted for {res:187} clusters in hc_id)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}e_treatq~l_z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2} .0702541{col 26}{space 2} .0263569{col 37}{space 1}    2.67{col 46}{space 3}0.008{col 54}{space 4} .0182572{col 67}{space 3}  .122251
{txt}b_treatq~l_z {c |}{col 14}{res}{space 2} .0975202{col 26}{space 2} .0201453{col 37}{space 1}    4.84{col 46}{space 3}0.000{col 54}{space 4} .0577777{col 67}{space 3} .1372628
{txt}b_trea~l_z_d {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 1}c_tfull_hc2 {c |}{col 14}{res}{space 2}-.0364872{col 26}{space 2} .0302334{col 37}{space 1}   -1.21{col 46}{space 3}0.229{col 54}{space 4}-.0961317{col 67}{space 3} .0231573
{txt}c_tfull_b_~l {c |}{col 14}{res}{space 2} .0347704{col 26}{space 2} .0357458{col 37}{space 1}    0.97{col 46}{space 3}0.332{col 54}{space 4}-.0357489{col 67}{space 3} .1052897
{txt}c_tfull_b_~s {c |}{col 14}{res}{space 2} .0245656{col 26}{space 2}  .041264{col 37}{space 1}    0.60{col 46}{space 3}0.552{col 54}{space 4}-.0568401{col 67}{space 3} .1059713
{txt}c_tfull_b_~d {c |}{col 14}{res}{space 2} .0272133{col 26}{space 2} .0158992{col 37}{space 1}    1.71{col 46}{space 3}0.089{col 54}{space 4}-.0041525{col 67}{space 3} .0585792
{txt}c_tfull_ed~r {c |}{col 14}{res}{space 2}-.0016339{col 26}{space 2} .0011181{col 37}{space 1}   -1.46{col 46}{space 3}0.146{col 54}{space 4}-.0038397{col 67}{space 3} .0005718
{txt}c_tfull_b_~x {c |}{col 14}{res}{space 2}-.0095979{col 26}{space 2} .0053077{col 37}{space 1}   -1.81{col 46}{space 3}0.072{col 54}{space 4} -.020069{col 67}{space 3} .0008732
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} .0005086{col 26}{space 2}  .020236{col 37}{space 1}    0.03{col 46}{space 3}0.980{col 54}{space 4}-.0394129{col 67}{space 3} .0404301
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull = .015{p_end}

{txt}       F(  1,   186) ={res}    4.39
{txt}{col 13}Prob > F ={res}    0.0374

{p 0 7}{space 1}{text:( 1)}{space 1} treatfull = -.015{p_end}

{txt}       F(  1,   186) ={res}   10.46
{txt}{col 13}Prob > F ={res}    0.0014
{txt}note: b_treatqual_z_d omitted because of collinearity
{res}
{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}     7,288
{txt}{col 49}F({res}   8{txt},{res}    186{txt}){col 67}= {res}      6.45
{txt}{col 49}Prob > F{col 67}= {res}    0.0000
{txt}{col 49}R-squared{col 67}= {res}    0.0978
{txt}{col 49}Adj R-squared{col 67}= {res}    0.0950
{txt}{col 49}Root MSE{col 67}= {res}    0.3521

{txt}{ralign 78:(Std. Err. adjusted for {res:187} clusters in hc_id)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}e_treatq~l_z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2} .0702541{col 26}{space 2} .0263569{col 37}{space 1}    2.67{col 46}{space 3}0.008{col 54}{space 4} .0182572{col 67}{space 3}  .122251
{txt}b_treatq~l_z {c |}{col 14}{res}{space 2} .0975202{col 26}{space 2} .0201453{col 37}{space 1}    4.84{col 46}{space 3}0.000{col 54}{space 4} .0577777{col 67}{space 3} .1372628
{txt}b_trea~l_z_d {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 1}c_tfull_hc2 {c |}{col 14}{res}{space 2}-.0364872{col 26}{space 2} .0302334{col 37}{space 1}   -1.21{col 46}{space 3}0.229{col 54}{space 4}-.0961317{col 67}{space 3} .0231573
{txt}c_tfull_b_~l {c |}{col 14}{res}{space 2} .0347704{col 26}{space 2} .0357458{col 37}{space 1}    0.97{col 46}{space 3}0.332{col 54}{space 4}-.0357489{col 67}{space 3} .1052897
{txt}c_tfull_b_~s {c |}{col 14}{res}{space 2} .0245656{col 26}{space 2}  .041264{col 37}{space 1}    0.60{col 46}{space 3}0.552{col 54}{space 4}-.0568401{col 67}{space 3} .1059713
{txt}c_tfull_b_~d {c |}{col 14}{res}{space 2} .0272133{col 26}{space 2} .0158992{col 37}{space 1}    1.71{col 46}{space 3}0.089{col 54}{space 4}-.0041525{col 67}{space 3} .0585792
{txt}c_tfull_ed~r {c |}{col 14}{res}{space 2}-.0016339{col 26}{space 2} .0011181{col 37}{space 1}   -1.46{col 46}{space 3}0.146{col 54}{space 4}-.0038397{col 67}{space 3} .0005718
{txt}c_tfull_b_~x {c |}{col 14}{res}{space 2}-.0095979{col 26}{space 2} .0053077{col 37}{space 1}   -1.81{col 46}{space 3}0.072{col 54}{space 4} -.020069{col 67}{space 3} .0008732
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} .0005086{col 26}{space 2}  .020236{col 37}{space 1}    0.03{col 46}{space 3}0.980{col 54}{space 4}-.0394129{col 67}{space 3} .0404301
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull = .016{p_end}

{txt}       F(  1,   186) ={res}    4.24
{txt}{col 13}Prob > F ={res}    0.0409

{p 0 7}{space 1}{text:( 1)}{space 1} treatfull = -.016{p_end}

{txt}       F(  1,   186) ={res}   10.71
{txt}{col 13}Prob > F ={res}    0.0013
{txt}note: b_treatqual_z_d omitted because of collinearity
{res}
{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}     7,288
{txt}{col 49}F({res}   8{txt},{res}    186{txt}){col 67}= {res}      6.45
{txt}{col 49}Prob > F{col 67}= {res}    0.0000
{txt}{col 49}R-squared{col 67}= {res}    0.0978
{txt}{col 49}Adj R-squared{col 67}= {res}    0.0950
{txt}{col 49}Root MSE{col 67}= {res}    0.3521

{txt}{ralign 78:(Std. Err. adjusted for {res:187} clusters in hc_id)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}e_treatq~l_z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2} .0702541{col 26}{space 2} .0263569{col 37}{space 1}    2.67{col 46}{space 3}0.008{col 54}{space 4} .0182572{col 67}{space 3}  .122251
{txt}b_treatq~l_z {c |}{col 14}{res}{space 2} .0975202{col 26}{space 2} .0201453{col 37}{space 1}    4.84{col 46}{space 3}0.000{col 54}{space 4} .0577777{col 67}{space 3} .1372628
{txt}b_trea~l_z_d {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 1}c_tfull_hc2 {c |}{col 14}{res}{space 2}-.0364872{col 26}{space 2} .0302334{col 37}{space 1}   -1.21{col 46}{space 3}0.229{col 54}{space 4}-.0961317{col 67}{space 3} .0231573
{txt}c_tfull_b_~l {c |}{col 14}{res}{space 2} .0347704{col 26}{space 2} .0357458{col 37}{space 1}    0.97{col 46}{space 3}0.332{col 54}{space 4}-.0357489{col 67}{space 3} .1052897
{txt}c_tfull_b_~s {c |}{col 14}{res}{space 2} .0245656{col 26}{space 2}  .041264{col 37}{space 1}    0.60{col 46}{space 3}0.552{col 54}{space 4}-.0568401{col 67}{space 3} .1059713
{txt}c_tfull_b_~d {c |}{col 14}{res}{space 2} .0272133{col 26}{space 2} .0158992{col 37}{space 1}    1.71{col 46}{space 3}0.089{col 54}{space 4}-.0041525{col 67}{space 3} .0585792
{txt}c_tfull_ed~r {c |}{col 14}{res}{space 2}-.0016339{col 26}{space 2} .0011181{col 37}{space 1}   -1.46{col 46}{space 3}0.146{col 54}{space 4}-.0038397{col 67}{space 3} .0005718
{txt}c_tfull_b_~x {c |}{col 14}{res}{space 2}-.0095979{col 26}{space 2} .0053077{col 37}{space 1}   -1.81{col 46}{space 3}0.072{col 54}{space 4} -.020069{col 67}{space 3} .0008732
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} .0005086{col 26}{space 2}  .020236{col 37}{space 1}    0.03{col 46}{space 3}0.980{col 54}{space 4}-.0394129{col 67}{space 3} .0404301
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull = .017{p_end}

{txt}       F(  1,   186) ={res}    4.08
{txt}{col 13}Prob > F ={res}    0.0448

{p 0 7}{space 1}{text:( 1)}{space 1} treatfull = -.017{p_end}

{txt}       F(  1,   186) ={res}   10.96
{txt}{col 13}Prob > F ={res}    0.0011
{txt}note: b_treatqual_z_d omitted because of collinearity
{res}
{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}     7,288
{txt}{col 49}F({res}   8{txt},{res}    186{txt}){col 67}= {res}      6.45
{txt}{col 49}Prob > F{col 67}= {res}    0.0000
{txt}{col 49}R-squared{col 67}= {res}    0.0978
{txt}{col 49}Adj R-squared{col 67}= {res}    0.0950
{txt}{col 49}Root MSE{col 67}= {res}    0.3521

{txt}{ralign 78:(Std. Err. adjusted for {res:187} clusters in hc_id)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}e_treatq~l_z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2} .0702541{col 26}{space 2} .0263569{col 37}{space 1}    2.67{col 46}{space 3}0.008{col 54}{space 4} .0182572{col 67}{space 3}  .122251
{txt}b_treatq~l_z {c |}{col 14}{res}{space 2} .0975202{col 26}{space 2} .0201453{col 37}{space 1}    4.84{col 46}{space 3}0.000{col 54}{space 4} .0577777{col 67}{space 3} .1372628
{txt}b_trea~l_z_d {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 1}c_tfull_hc2 {c |}{col 14}{res}{space 2}-.0364872{col 26}{space 2} .0302334{col 37}{space 1}   -1.21{col 46}{space 3}0.229{col 54}{space 4}-.0961317{col 67}{space 3} .0231573
{txt}c_tfull_b_~l {c |}{col 14}{res}{space 2} .0347704{col 26}{space 2} .0357458{col 37}{space 1}    0.97{col 46}{space 3}0.332{col 54}{space 4}-.0357489{col 67}{space 3} .1052897
{txt}c_tfull_b_~s {c |}{col 14}{res}{space 2} .0245656{col 26}{space 2}  .041264{col 37}{space 1}    0.60{col 46}{space 3}0.552{col 54}{space 4}-.0568401{col 67}{space 3} .1059713
{txt}c_tfull_b_~d {c |}{col 14}{res}{space 2} .0272133{col 26}{space 2} .0158992{col 37}{space 1}    1.71{col 46}{space 3}0.089{col 54}{space 4}-.0041525{col 67}{space 3} .0585792
{txt}c_tfull_ed~r {c |}{col 14}{res}{space 2}-.0016339{col 26}{space 2} .0011181{col 37}{space 1}   -1.46{col 46}{space 3}0.146{col 54}{space 4}-.0038397{col 67}{space 3} .0005718
{txt}c_tfull_b_~x {c |}{col 14}{res}{space 2}-.0095979{col 26}{space 2} .0053077{col 37}{space 1}   -1.81{col 46}{space 3}0.072{col 54}{space 4} -.020069{col 67}{space 3} .0008732
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} .0005086{col 26}{space 2}  .020236{col 37}{space 1}    0.03{col 46}{space 3}0.980{col 54}{space 4}-.0394129{col 67}{space 3} .0404301
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull = .018{p_end}

{txt}       F(  1,   186) ={res}    3.93
{txt}{col 13}Prob > F ={res}    0.0489

{p 0 7}{space 1}{text:( 1)}{space 1} treatfull = -.018{p_end}

{txt}       F(  1,   186) ={res}   11.21
{txt}{col 13}Prob > F ={res}    0.0010
{txt}note: b_treatqual_z_d omitted because of collinearity
{res}
{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}     7,288
{txt}{col 49}F({res}   8{txt},{res}    186{txt}){col 67}= {res}      6.45
{txt}{col 49}Prob > F{col 67}= {res}    0.0000
{txt}{col 49}R-squared{col 67}= {res}    0.0978
{txt}{col 49}Adj R-squared{col 67}= {res}    0.0950
{txt}{col 49}Root MSE{col 67}= {res}    0.3521

{txt}{ralign 78:(Std. Err. adjusted for {res:187} clusters in hc_id)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}e_treatq~l_z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2} .0702541{col 26}{space 2} .0263569{col 37}{space 1}    2.67{col 46}{space 3}0.008{col 54}{space 4} .0182572{col 67}{space 3}  .122251
{txt}b_treatq~l_z {c |}{col 14}{res}{space 2} .0975202{col 26}{space 2} .0201453{col 37}{space 1}    4.84{col 46}{space 3}0.000{col 54}{space 4} .0577777{col 67}{space 3} .1372628
{txt}b_trea~l_z_d {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 1}c_tfull_hc2 {c |}{col 14}{res}{space 2}-.0364872{col 26}{space 2} .0302334{col 37}{space 1}   -1.21{col 46}{space 3}0.229{col 54}{space 4}-.0961317{col 67}{space 3} .0231573
{txt}c_tfull_b_~l {c |}{col 14}{res}{space 2} .0347704{col 26}{space 2} .0357458{col 37}{space 1}    0.97{col 46}{space 3}0.332{col 54}{space 4}-.0357489{col 67}{space 3} .1052897
{txt}c_tfull_b_~s {c |}{col 14}{res}{space 2} .0245656{col 26}{space 2}  .041264{col 37}{space 1}    0.60{col 46}{space 3}0.552{col 54}{space 4}-.0568401{col 67}{space 3} .1059713
{txt}c_tfull_b_~d {c |}{col 14}{res}{space 2} .0272133{col 26}{space 2} .0158992{col 37}{space 1}    1.71{col 46}{space 3}0.089{col 54}{space 4}-.0041525{col 67}{space 3} .0585792
{txt}c_tfull_ed~r {c |}{col 14}{res}{space 2}-.0016339{col 26}{space 2} .0011181{col 37}{space 1}   -1.46{col 46}{space 3}0.146{col 54}{space 4}-.0038397{col 67}{space 3} .0005718
{txt}c_tfull_b_~x {c |}{col 14}{res}{space 2}-.0095979{col 26}{space 2} .0053077{col 37}{space 1}   -1.81{col 46}{space 3}0.072{col 54}{space 4} -.020069{col 67}{space 3} .0008732
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} .0005086{col 26}{space 2}  .020236{col 37}{space 1}    0.03{col 46}{space 3}0.980{col 54}{space 4}-.0394129{col 67}{space 3} .0404301
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull = .019{p_end}

{txt}       F(  1,   186) ={res}    3.78
{txt}{col 13}Prob > F ={res}    0.0533

{p 0 7}{space 1}{text:( 1)}{space 1} treatfull = -.019{p_end}

{txt}       F(  1,   186) ={res}   11.47
{txt}{col 13}Prob > F ={res}    0.0009
{txt}note: b_treatqual_z_d omitted because of collinearity
{res}
{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}     7,288
{txt}{col 49}F({res}   8{txt},{res}    186{txt}){col 67}= {res}      6.45
{txt}{col 49}Prob > F{col 67}= {res}    0.0000
{txt}{col 49}R-squared{col 67}= {res}    0.0978
{txt}{col 49}Adj R-squared{col 67}= {res}    0.0950
{txt}{col 49}Root MSE{col 67}= {res}    0.3521

{txt}{ralign 78:(Std. Err. adjusted for {res:187} clusters in hc_id)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}e_treatq~l_z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2} .0702541{col 26}{space 2} .0263569{col 37}{space 1}    2.67{col 46}{space 3}0.008{col 54}{space 4} .0182572{col 67}{space 3}  .122251
{txt}b_treatq~l_z {c |}{col 14}{res}{space 2} .0975202{col 26}{space 2} .0201453{col 37}{space 1}    4.84{col 46}{space 3}0.000{col 54}{space 4} .0577777{col 67}{space 3} .1372628
{txt}b_trea~l_z_d {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 1}c_tfull_hc2 {c |}{col 14}{res}{space 2}-.0364872{col 26}{space 2} .0302334{col 37}{space 1}   -1.21{col 46}{space 3}0.229{col 54}{space 4}-.0961317{col 67}{space 3} .0231573
{txt}c_tfull_b_~l {c |}{col 14}{res}{space 2} .0347704{col 26}{space 2} .0357458{col 37}{space 1}    0.97{col 46}{space 3}0.332{col 54}{space 4}-.0357489{col 67}{space 3} .1052897
{txt}c_tfull_b_~s {c |}{col 14}{res}{space 2} .0245656{col 26}{space 2}  .041264{col 37}{space 1}    0.60{col 46}{space 3}0.552{col 54}{space 4}-.0568401{col 67}{space 3} .1059713
{txt}c_tfull_b_~d {c |}{col 14}{res}{space 2} .0272133{col 26}{space 2} .0158992{col 37}{space 1}    1.71{col 46}{space 3}0.089{col 54}{space 4}-.0041525{col 67}{space 3} .0585792
{txt}c_tfull_ed~r {c |}{col 14}{res}{space 2}-.0016339{col 26}{space 2} .0011181{col 37}{space 1}   -1.46{col 46}{space 3}0.146{col 54}{space 4}-.0038397{col 67}{space 3} .0005718
{txt}c_tfull_b_~x {c |}{col 14}{res}{space 2}-.0095979{col 26}{space 2} .0053077{col 37}{space 1}   -1.81{col 46}{space 3}0.072{col 54}{space 4} -.020069{col 67}{space 3} .0008732
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} .0005086{col 26}{space 2}  .020236{col 37}{space 1}    0.03{col 46}{space 3}0.980{col 54}{space 4}-.0394129{col 67}{space 3} .0404301
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull = .02{p_end}

{txt}       F(  1,   186) ={res}    3.64
{txt}{col 13}Prob > F ={res}    0.0581

{p 0 7}{space 1}{text:( 1)}{space 1} treatfull = -.02{p_end}

{txt}       F(  1,   186) ={res}   11.73
{txt}{col 13}Prob > F ={res}    0.0008
{txt}note: b_treatqual_z_d omitted because of collinearity
{res}
{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}     7,288
{txt}{col 49}F({res}   8{txt},{res}    186{txt}){col 67}= {res}      6.45
{txt}{col 49}Prob > F{col 67}= {res}    0.0000
{txt}{col 49}R-squared{col 67}= {res}    0.0978
{txt}{col 49}Adj R-squared{col 67}= {res}    0.0950
{txt}{col 49}Root MSE{col 67}= {res}    0.3521

{txt}{ralign 78:(Std. Err. adjusted for {res:187} clusters in hc_id)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}e_treatq~l_z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2} .0702541{col 26}{space 2} .0263569{col 37}{space 1}    2.67{col 46}{space 3}0.008{col 54}{space 4} .0182572{col 67}{space 3}  .122251
{txt}b_treatq~l_z {c |}{col 14}{res}{space 2} .0975202{col 26}{space 2} .0201453{col 37}{space 1}    4.84{col 46}{space 3}0.000{col 54}{space 4} .0577777{col 67}{space 3} .1372628
{txt}b_trea~l_z_d {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 1}c_tfull_hc2 {c |}{col 14}{res}{space 2}-.0364872{col 26}{space 2} .0302334{col 37}{space 1}   -1.21{col 46}{space 3}0.229{col 54}{space 4}-.0961317{col 67}{space 3} .0231573
{txt}c_tfull_b_~l {c |}{col 14}{res}{space 2} .0347704{col 26}{space 2} .0357458{col 37}{space 1}    0.97{col 46}{space 3}0.332{col 54}{space 4}-.0357489{col 67}{space 3} .1052897
{txt}c_tfull_b_~s {c |}{col 14}{res}{space 2} .0245656{col 26}{space 2}  .041264{col 37}{space 1}    0.60{col 46}{space 3}0.552{col 54}{space 4}-.0568401{col 67}{space 3} .1059713
{txt}c_tfull_b_~d {c |}{col 14}{res}{space 2} .0272133{col 26}{space 2} .0158992{col 37}{space 1}    1.71{col 46}{space 3}0.089{col 54}{space 4}-.0041525{col 67}{space 3} .0585792
{txt}c_tfull_ed~r {c |}{col 14}{res}{space 2}-.0016339{col 26}{space 2} .0011181{col 37}{space 1}   -1.46{col 46}{space 3}0.146{col 54}{space 4}-.0038397{col 67}{space 3} .0005718
{txt}c_tfull_b_~x {c |}{col 14}{res}{space 2}-.0095979{col 26}{space 2} .0053077{col 37}{space 1}   -1.81{col 46}{space 3}0.072{col 54}{space 4} -.020069{col 67}{space 3} .0008732
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} .0005086{col 26}{space 2}  .020236{col 37}{space 1}    0.03{col 46}{space 3}0.980{col 54}{space 4}-.0394129{col 67}{space 3} .0404301
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull = .021{p_end}

{txt}       F(  1,   186) ={res}    3.49
{txt}{col 13}Prob > F ={res}    0.0632

{p 0 7}{space 1}{text:( 1)}{space 1} treatfull = -.021{p_end}

{txt}       F(  1,   186) ={res}   11.99
{txt}{col 13}Prob > F ={res}    0.0007
{txt}note: b_treatqual_z_d omitted because of collinearity
{res}
{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}     7,288
{txt}{col 49}F({res}   8{txt},{res}    186{txt}){col 67}= {res}      6.45
{txt}{col 49}Prob > F{col 67}= {res}    0.0000
{txt}{col 49}R-squared{col 67}= {res}    0.0978
{txt}{col 49}Adj R-squared{col 67}= {res}    0.0950
{txt}{col 49}Root MSE{col 67}= {res}    0.3521

{txt}{ralign 78:(Std. Err. adjusted for {res:187} clusters in hc_id)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}e_treatq~l_z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2} .0702541{col 26}{space 2} .0263569{col 37}{space 1}    2.67{col 46}{space 3}0.008{col 54}{space 4} .0182572{col 67}{space 3}  .122251
{txt}b_treatq~l_z {c |}{col 14}{res}{space 2} .0975202{col 26}{space 2} .0201453{col 37}{space 1}    4.84{col 46}{space 3}0.000{col 54}{space 4} .0577777{col 67}{space 3} .1372628
{txt}b_trea~l_z_d {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 1}c_tfull_hc2 {c |}{col 14}{res}{space 2}-.0364872{col 26}{space 2} .0302334{col 37}{space 1}   -1.21{col 46}{space 3}0.229{col 54}{space 4}-.0961317{col 67}{space 3} .0231573
{txt}c_tfull_b_~l {c |}{col 14}{res}{space 2} .0347704{col 26}{space 2} .0357458{col 37}{space 1}    0.97{col 46}{space 3}0.332{col 54}{space 4}-.0357489{col 67}{space 3} .1052897
{txt}c_tfull_b_~s {c |}{col 14}{res}{space 2} .0245656{col 26}{space 2}  .041264{col 37}{space 1}    0.60{col 46}{space 3}0.552{col 54}{space 4}-.0568401{col 67}{space 3} .1059713
{txt}c_tfull_b_~d {c |}{col 14}{res}{space 2} .0272133{col 26}{space 2} .0158992{col 37}{space 1}    1.71{col 46}{space 3}0.089{col 54}{space 4}-.0041525{col 67}{space 3} .0585792
{txt}c_tfull_ed~r {c |}{col 14}{res}{space 2}-.0016339{col 26}{space 2} .0011181{col 37}{space 1}   -1.46{col 46}{space 3}0.146{col 54}{space 4}-.0038397{col 67}{space 3} .0005718
{txt}c_tfull_b_~x {c |}{col 14}{res}{space 2}-.0095979{col 26}{space 2} .0053077{col 37}{space 1}   -1.81{col 46}{space 3}0.072{col 54}{space 4} -.020069{col 67}{space 3} .0008732
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} .0005086{col 26}{space 2}  .020236{col 37}{space 1}    0.03{col 46}{space 3}0.980{col 54}{space 4}-.0394129{col 67}{space 3} .0404301
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull = .022{p_end}

{txt}       F(  1,   186) ={res}    3.35
{txt}{col 13}Prob > F ={res}    0.0687

{p 0 7}{space 1}{text:( 1)}{space 1} treatfull = -.022{p_end}

{txt}       F(  1,   186) ={res}   12.25
{txt}{col 13}Prob > F ={res}    0.0006
{txt}note: b_treatqual_z_d omitted because of collinearity
{res}
{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}     7,288
{txt}{col 49}F({res}   8{txt},{res}    186{txt}){col 67}= {res}      6.45
{txt}{col 49}Prob > F{col 67}= {res}    0.0000
{txt}{col 49}R-squared{col 67}= {res}    0.0978
{txt}{col 49}Adj R-squared{col 67}= {res}    0.0950
{txt}{col 49}Root MSE{col 67}= {res}    0.3521

{txt}{ralign 78:(Std. Err. adjusted for {res:187} clusters in hc_id)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}e_treatq~l_z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2} .0702541{col 26}{space 2} .0263569{col 37}{space 1}    2.67{col 46}{space 3}0.008{col 54}{space 4} .0182572{col 67}{space 3}  .122251
{txt}b_treatq~l_z {c |}{col 14}{res}{space 2} .0975202{col 26}{space 2} .0201453{col 37}{space 1}    4.84{col 46}{space 3}0.000{col 54}{space 4} .0577777{col 67}{space 3} .1372628
{txt}b_trea~l_z_d {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 1}c_tfull_hc2 {c |}{col 14}{res}{space 2}-.0364872{col 26}{space 2} .0302334{col 37}{space 1}   -1.21{col 46}{space 3}0.229{col 54}{space 4}-.0961317{col 67}{space 3} .0231573
{txt}c_tfull_b_~l {c |}{col 14}{res}{space 2} .0347704{col 26}{space 2} .0357458{col 37}{space 1}    0.97{col 46}{space 3}0.332{col 54}{space 4}-.0357489{col 67}{space 3} .1052897
{txt}c_tfull_b_~s {c |}{col 14}{res}{space 2} .0245656{col 26}{space 2}  .041264{col 37}{space 1}    0.60{col 46}{space 3}0.552{col 54}{space 4}-.0568401{col 67}{space 3} .1059713
{txt}c_tfull_b_~d {c |}{col 14}{res}{space 2} .0272133{col 26}{space 2} .0158992{col 37}{space 1}    1.71{col 46}{space 3}0.089{col 54}{space 4}-.0041525{col 67}{space 3} .0585792
{txt}c_tfull_ed~r {c |}{col 14}{res}{space 2}-.0016339{col 26}{space 2} .0011181{col 37}{space 1}   -1.46{col 46}{space 3}0.146{col 54}{space 4}-.0038397{col 67}{space 3} .0005718
{txt}c_tfull_b_~x {c |}{col 14}{res}{space 2}-.0095979{col 26}{space 2} .0053077{col 37}{space 1}   -1.81{col 46}{space 3}0.072{col 54}{space 4} -.020069{col 67}{space 3} .0008732
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} .0005086{col 26}{space 2}  .020236{col 37}{space 1}    0.03{col 46}{space 3}0.980{col 54}{space 4}-.0394129{col 67}{space 3} .0404301
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull = .023{p_end}

{txt}       F(  1,   186) ={res}    3.21
{txt}{col 13}Prob > F ={res}    0.0746

{p 0 7}{space 1}{text:( 1)}{space 1} treatfull = -.023{p_end}

{txt}       F(  1,   186) ={res}   12.52
{txt}{col 13}Prob > F ={res}    0.0005
{txt}note: b_treatqual_z_d omitted because of collinearity
{res}
{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}     7,288
{txt}{col 49}F({res}   8{txt},{res}    186{txt}){col 67}= {res}      6.45
{txt}{col 49}Prob > F{col 67}= {res}    0.0000
{txt}{col 49}R-squared{col 67}= {res}    0.0978
{txt}{col 49}Adj R-squared{col 67}= {res}    0.0950
{txt}{col 49}Root MSE{col 67}= {res}    0.3521

{txt}{ralign 78:(Std. Err. adjusted for {res:187} clusters in hc_id)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}e_treatq~l_z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2} .0702541{col 26}{space 2} .0263569{col 37}{space 1}    2.67{col 46}{space 3}0.008{col 54}{space 4} .0182572{col 67}{space 3}  .122251
{txt}b_treatq~l_z {c |}{col 14}{res}{space 2} .0975202{col 26}{space 2} .0201453{col 37}{space 1}    4.84{col 46}{space 3}0.000{col 54}{space 4} .0577777{col 67}{space 3} .1372628
{txt}b_trea~l_z_d {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 1}c_tfull_hc2 {c |}{col 14}{res}{space 2}-.0364872{col 26}{space 2} .0302334{col 37}{space 1}   -1.21{col 46}{space 3}0.229{col 54}{space 4}-.0961317{col 67}{space 3} .0231573
{txt}c_tfull_b_~l {c |}{col 14}{res}{space 2} .0347704{col 26}{space 2} .0357458{col 37}{space 1}    0.97{col 46}{space 3}0.332{col 54}{space 4}-.0357489{col 67}{space 3} .1052897
{txt}c_tfull_b_~s {c |}{col 14}{res}{space 2} .0245656{col 26}{space 2}  .041264{col 37}{space 1}    0.60{col 46}{space 3}0.552{col 54}{space 4}-.0568401{col 67}{space 3} .1059713
{txt}c_tfull_b_~d {c |}{col 14}{res}{space 2} .0272133{col 26}{space 2} .0158992{col 37}{space 1}    1.71{col 46}{space 3}0.089{col 54}{space 4}-.0041525{col 67}{space 3} .0585792
{txt}c_tfull_ed~r {c |}{col 14}{res}{space 2}-.0016339{col 26}{space 2} .0011181{col 37}{space 1}   -1.46{col 46}{space 3}0.146{col 54}{space 4}-.0038397{col 67}{space 3} .0005718
{txt}c_tfull_b_~x {c |}{col 14}{res}{space 2}-.0095979{col 26}{space 2} .0053077{col 37}{space 1}   -1.81{col 46}{space 3}0.072{col 54}{space 4} -.020069{col 67}{space 3} .0008732
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} .0005086{col 26}{space 2}  .020236{col 37}{space 1}    0.03{col 46}{space 3}0.980{col 54}{space 4}-.0394129{col 67}{space 3} .0404301
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull = .024{p_end}

{txt}       F(  1,   186) ={res}    3.08
{txt}{col 13}Prob > F ={res}    0.0809

{p 0 7}{space 1}{text:( 1)}{space 1} treatfull = -.024{p_end}

{txt}       F(  1,   186) ={res}   12.79
{txt}{col 13}Prob > F ={res}    0.0004
{txt}note: b_treatqual_z_d omitted because of collinearity
{res}
{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}     7,288
{txt}{col 49}F({res}   8{txt},{res}    186{txt}){col 67}= {res}      6.45
{txt}{col 49}Prob > F{col 67}= {res}    0.0000
{txt}{col 49}R-squared{col 67}= {res}    0.0978
{txt}{col 49}Adj R-squared{col 67}= {res}    0.0950
{txt}{col 49}Root MSE{col 67}= {res}    0.3521

{txt}{ralign 78:(Std. Err. adjusted for {res:187} clusters in hc_id)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}e_treatq~l_z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2} .0702541{col 26}{space 2} .0263569{col 37}{space 1}    2.67{col 46}{space 3}0.008{col 54}{space 4} .0182572{col 67}{space 3}  .122251
{txt}b_treatq~l_z {c |}{col 14}{res}{space 2} .0975202{col 26}{space 2} .0201453{col 37}{space 1}    4.84{col 46}{space 3}0.000{col 54}{space 4} .0577777{col 67}{space 3} .1372628
{txt}b_trea~l_z_d {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 1}c_tfull_hc2 {c |}{col 14}{res}{space 2}-.0364872{col 26}{space 2} .0302334{col 37}{space 1}   -1.21{col 46}{space 3}0.229{col 54}{space 4}-.0961317{col 67}{space 3} .0231573
{txt}c_tfull_b_~l {c |}{col 14}{res}{space 2} .0347704{col 26}{space 2} .0357458{col 37}{space 1}    0.97{col 46}{space 3}0.332{col 54}{space 4}-.0357489{col 67}{space 3} .1052897
{txt}c_tfull_b_~s {c |}{col 14}{res}{space 2} .0245656{col 26}{space 2}  .041264{col 37}{space 1}    0.60{col 46}{space 3}0.552{col 54}{space 4}-.0568401{col 67}{space 3} .1059713
{txt}c_tfull_b_~d {c |}{col 14}{res}{space 2} .0272133{col 26}{space 2} .0158992{col 37}{space 1}    1.71{col 46}{space 3}0.089{col 54}{space 4}-.0041525{col 67}{space 3} .0585792
{txt}c_tfull_ed~r {c |}{col 14}{res}{space 2}-.0016339{col 26}{space 2} .0011181{col 37}{space 1}   -1.46{col 46}{space 3}0.146{col 54}{space 4}-.0038397{col 67}{space 3} .0005718
{txt}c_tfull_b_~x {c |}{col 14}{res}{space 2}-.0095979{col 26}{space 2} .0053077{col 37}{space 1}   -1.81{col 46}{space 3}0.072{col 54}{space 4} -.020069{col 67}{space 3} .0008732
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} .0005086{col 26}{space 2}  .020236{col 37}{space 1}    0.03{col 46}{space 3}0.980{col 54}{space 4}-.0394129{col 67}{space 3} .0404301
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull = .025{p_end}

{txt}       F(  1,   186) ={res}    2.95
{txt}{col 13}Prob > F ={res}    0.0876

{p 0 7}{space 1}{text:( 1)}{space 1} treatfull = -.025{p_end}

{txt}       F(  1,   186) ={res}   13.06
{txt}{col 13}Prob > F ={res}    0.0004
{txt}note: b_treatqual_z_d omitted because of collinearity
{res}
{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}     7,288
{txt}{col 49}F({res}   8{txt},{res}    186{txt}){col 67}= {res}      6.45
{txt}{col 49}Prob > F{col 67}= {res}    0.0000
{txt}{col 49}R-squared{col 67}= {res}    0.0978
{txt}{col 49}Adj R-squared{col 67}= {res}    0.0950
{txt}{col 49}Root MSE{col 67}= {res}    0.3521

{txt}{ralign 78:(Std. Err. adjusted for {res:187} clusters in hc_id)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}e_treatq~l_z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2} .0702541{col 26}{space 2} .0263569{col 37}{space 1}    2.67{col 46}{space 3}0.008{col 54}{space 4} .0182572{col 67}{space 3}  .122251
{txt}b_treatq~l_z {c |}{col 14}{res}{space 2} .0975202{col 26}{space 2} .0201453{col 37}{space 1}    4.84{col 46}{space 3}0.000{col 54}{space 4} .0577777{col 67}{space 3} .1372628
{txt}b_trea~l_z_d {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 1}c_tfull_hc2 {c |}{col 14}{res}{space 2}-.0364872{col 26}{space 2} .0302334{col 37}{space 1}   -1.21{col 46}{space 3}0.229{col 54}{space 4}-.0961317{col 67}{space 3} .0231573
{txt}c_tfull_b_~l {c |}{col 14}{res}{space 2} .0347704{col 26}{space 2} .0357458{col 37}{space 1}    0.97{col 46}{space 3}0.332{col 54}{space 4}-.0357489{col 67}{space 3} .1052897
{txt}c_tfull_b_~s {c |}{col 14}{res}{space 2} .0245656{col 26}{space 2}  .041264{col 37}{space 1}    0.60{col 46}{space 3}0.552{col 54}{space 4}-.0568401{col 67}{space 3} .1059713
{txt}c_tfull_b_~d {c |}{col 14}{res}{space 2} .0272133{col 26}{space 2} .0158992{col 37}{space 1}    1.71{col 46}{space 3}0.089{col 54}{space 4}-.0041525{col 67}{space 3} .0585792
{txt}c_tfull_ed~r {c |}{col 14}{res}{space 2}-.0016339{col 26}{space 2} .0011181{col 37}{space 1}   -1.46{col 46}{space 3}0.146{col 54}{space 4}-.0038397{col 67}{space 3} .0005718
{txt}c_tfull_b_~x {c |}{col 14}{res}{space 2}-.0095979{col 26}{space 2} .0053077{col 37}{space 1}   -1.81{col 46}{space 3}0.072{col 54}{space 4} -.020069{col 67}{space 3} .0008732
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} .0005086{col 26}{space 2}  .020236{col 37}{space 1}    0.03{col 46}{space 3}0.980{col 54}{space 4}-.0394129{col 67}{space 3} .0404301
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull = .026{p_end}

{txt}       F(  1,   186) ={res}    2.82
{txt}{col 13}Prob > F ={res}    0.0948

{p 0 7}{space 1}{text:( 1)}{space 1} treatfull = -.026{p_end}

{txt}       F(  1,   186) ={res}   13.34
{txt}{col 13}Prob > F ={res}    0.0003
{txt}note: b_treatqual_z_d omitted because of collinearity
{res}
{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}     7,288
{txt}{col 49}F({res}   8{txt},{res}    186{txt}){col 67}= {res}      6.45
{txt}{col 49}Prob > F{col 67}= {res}    0.0000
{txt}{col 49}R-squared{col 67}= {res}    0.0978
{txt}{col 49}Adj R-squared{col 67}= {res}    0.0950
{txt}{col 49}Root MSE{col 67}= {res}    0.3521

{txt}{ralign 78:(Std. Err. adjusted for {res:187} clusters in hc_id)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}e_treatq~l_z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2} .0702541{col 26}{space 2} .0263569{col 37}{space 1}    2.67{col 46}{space 3}0.008{col 54}{space 4} .0182572{col 67}{space 3}  .122251
{txt}b_treatq~l_z {c |}{col 14}{res}{space 2} .0975202{col 26}{space 2} .0201453{col 37}{space 1}    4.84{col 46}{space 3}0.000{col 54}{space 4} .0577777{col 67}{space 3} .1372628
{txt}b_trea~l_z_d {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 1}c_tfull_hc2 {c |}{col 14}{res}{space 2}-.0364872{col 26}{space 2} .0302334{col 37}{space 1}   -1.21{col 46}{space 3}0.229{col 54}{space 4}-.0961317{col 67}{space 3} .0231573
{txt}c_tfull_b_~l {c |}{col 14}{res}{space 2} .0347704{col 26}{space 2} .0357458{col 37}{space 1}    0.97{col 46}{space 3}0.332{col 54}{space 4}-.0357489{col 67}{space 3} .1052897
{txt}c_tfull_b_~s {c |}{col 14}{res}{space 2} .0245656{col 26}{space 2}  .041264{col 37}{space 1}    0.60{col 46}{space 3}0.552{col 54}{space 4}-.0568401{col 67}{space 3} .1059713
{txt}c_tfull_b_~d {c |}{col 14}{res}{space 2} .0272133{col 26}{space 2} .0158992{col 37}{space 1}    1.71{col 46}{space 3}0.089{col 54}{space 4}-.0041525{col 67}{space 3} .0585792
{txt}c_tfull_ed~r {c |}{col 14}{res}{space 2}-.0016339{col 26}{space 2} .0011181{col 37}{space 1}   -1.46{col 46}{space 3}0.146{col 54}{space 4}-.0038397{col 67}{space 3} .0005718
{txt}c_tfull_b_~x {c |}{col 14}{res}{space 2}-.0095979{col 26}{space 2} .0053077{col 37}{space 1}   -1.81{col 46}{space 3}0.072{col 54}{space 4} -.020069{col 67}{space 3} .0008732
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} .0005086{col 26}{space 2}  .020236{col 37}{space 1}    0.03{col 46}{space 3}0.980{col 54}{space 4}-.0394129{col 67}{space 3} .0404301
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull = .027{p_end}

{txt}       F(  1,   186) ={res}    2.69
{txt}{col 13}Prob > F ={res}    0.1025

{p 0 7}{space 1}{text:( 1)}{space 1} treatfull = -.027{p_end}

{txt}       F(  1,   186) ={res}   13.62
{txt}{col 13}Prob > F ={res}    0.0003
{txt}note: b_treatqual_z_d omitted because of collinearity
{res}
{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}     7,288
{txt}{col 49}F({res}   8{txt},{res}    186{txt}){col 67}= {res}      6.45
{txt}{col 49}Prob > F{col 67}= {res}    0.0000
{txt}{col 49}R-squared{col 67}= {res}    0.0978
{txt}{col 49}Adj R-squared{col 67}= {res}    0.0950
{txt}{col 49}Root MSE{col 67}= {res}    0.3521

{txt}{ralign 78:(Std. Err. adjusted for {res:187} clusters in hc_id)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}e_treatq~l_z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2} .0702541{col 26}{space 2} .0263569{col 37}{space 1}    2.67{col 46}{space 3}0.008{col 54}{space 4} .0182572{col 67}{space 3}  .122251
{txt}b_treatq~l_z {c |}{col 14}{res}{space 2} .0975202{col 26}{space 2} .0201453{col 37}{space 1}    4.84{col 46}{space 3}0.000{col 54}{space 4} .0577777{col 67}{space 3} .1372628
{txt}b_trea~l_z_d {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 1}c_tfull_hc2 {c |}{col 14}{res}{space 2}-.0364872{col 26}{space 2} .0302334{col 37}{space 1}   -1.21{col 46}{space 3}0.229{col 54}{space 4}-.0961317{col 67}{space 3} .0231573
{txt}c_tfull_b_~l {c |}{col 14}{res}{space 2} .0347704{col 26}{space 2} .0357458{col 37}{space 1}    0.97{col 46}{space 3}0.332{col 54}{space 4}-.0357489{col 67}{space 3} .1052897
{txt}c_tfull_b_~s {c |}{col 14}{res}{space 2} .0245656{col 26}{space 2}  .041264{col 37}{space 1}    0.60{col 46}{space 3}0.552{col 54}{space 4}-.0568401{col 67}{space 3} .1059713
{txt}c_tfull_b_~d {c |}{col 14}{res}{space 2} .0272133{col 26}{space 2} .0158992{col 37}{space 1}    1.71{col 46}{space 3}0.089{col 54}{space 4}-.0041525{col 67}{space 3} .0585792
{txt}c_tfull_ed~r {c |}{col 14}{res}{space 2}-.0016339{col 26}{space 2} .0011181{col 37}{space 1}   -1.46{col 46}{space 3}0.146{col 54}{space 4}-.0038397{col 67}{space 3} .0005718
{txt}c_tfull_b_~x {c |}{col 14}{res}{space 2}-.0095979{col 26}{space 2} .0053077{col 37}{space 1}   -1.81{col 46}{space 3}0.072{col 54}{space 4} -.020069{col 67}{space 3} .0008732
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} .0005086{col 26}{space 2}  .020236{col 37}{space 1}    0.03{col 46}{space 3}0.980{col 54}{space 4}-.0394129{col 67}{space 3} .0404301
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull = .028{p_end}

{txt}       F(  1,   186) ={res}    2.57
{txt}{col 13}Prob > F ={res}    0.1106

{p 0 7}{space 1}{text:( 1)}{space 1} treatfull = -.028{p_end}

{txt}       F(  1,   186) ={res}   13.90
{txt}{col 13}Prob > F ={res}    0.0003
{txt}note: b_treatqual_z_d omitted because of collinearity
{res}
{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}     7,288
{txt}{col 49}F({res}   8{txt},{res}    186{txt}){col 67}= {res}      6.45
{txt}{col 49}Prob > F{col 67}= {res}    0.0000
{txt}{col 49}R-squared{col 67}= {res}    0.0978
{txt}{col 49}Adj R-squared{col 67}= {res}    0.0950
{txt}{col 49}Root MSE{col 67}= {res}    0.3521

{txt}{ralign 78:(Std. Err. adjusted for {res:187} clusters in hc_id)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}e_treatq~l_z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2} .0702541{col 26}{space 2} .0263569{col 37}{space 1}    2.67{col 46}{space 3}0.008{col 54}{space 4} .0182572{col 67}{space 3}  .122251
{txt}b_treatq~l_z {c |}{col 14}{res}{space 2} .0975202{col 26}{space 2} .0201453{col 37}{space 1}    4.84{col 46}{space 3}0.000{col 54}{space 4} .0577777{col 67}{space 3} .1372628
{txt}b_trea~l_z_d {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 1}c_tfull_hc2 {c |}{col 14}{res}{space 2}-.0364872{col 26}{space 2} .0302334{col 37}{space 1}   -1.21{col 46}{space 3}0.229{col 54}{space 4}-.0961317{col 67}{space 3} .0231573
{txt}c_tfull_b_~l {c |}{col 14}{res}{space 2} .0347704{col 26}{space 2} .0357458{col 37}{space 1}    0.97{col 46}{space 3}0.332{col 54}{space 4}-.0357489{col 67}{space 3} .1052897
{txt}c_tfull_b_~s {c |}{col 14}{res}{space 2} .0245656{col 26}{space 2}  .041264{col 37}{space 1}    0.60{col 46}{space 3}0.552{col 54}{space 4}-.0568401{col 67}{space 3} .1059713
{txt}c_tfull_b_~d {c |}{col 14}{res}{space 2} .0272133{col 26}{space 2} .0158992{col 37}{space 1}    1.71{col 46}{space 3}0.089{col 54}{space 4}-.0041525{col 67}{space 3} .0585792
{txt}c_tfull_ed~r {c |}{col 14}{res}{space 2}-.0016339{col 26}{space 2} .0011181{col 37}{space 1}   -1.46{col 46}{space 3}0.146{col 54}{space 4}-.0038397{col 67}{space 3} .0005718
{txt}c_tfull_b_~x {c |}{col 14}{res}{space 2}-.0095979{col 26}{space 2} .0053077{col 37}{space 1}   -1.81{col 46}{space 3}0.072{col 54}{space 4} -.020069{col 67}{space 3} .0008732
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} .0005086{col 26}{space 2}  .020236{col 37}{space 1}    0.03{col 46}{space 3}0.980{col 54}{space 4}-.0394129{col 67}{space 3} .0404301
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull = .029{p_end}

{txt}       F(  1,   186) ={res}    2.45
{txt}{col 13}Prob > F ={res}    0.1192

{p 0 7}{space 1}{text:( 1)}{space 1} treatfull = -.029{p_end}

{txt}       F(  1,   186) ={res}   14.18
{txt}{col 13}Prob > F ={res}    0.0002
{txt}note: b_treatqual_z_d omitted because of collinearity
{res}
{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}     7,288
{txt}{col 49}F({res}   8{txt},{res}    186{txt}){col 67}= {res}      6.45
{txt}{col 49}Prob > F{col 67}= {res}    0.0000
{txt}{col 49}R-squared{col 67}= {res}    0.0978
{txt}{col 49}Adj R-squared{col 67}= {res}    0.0950
{txt}{col 49}Root MSE{col 67}= {res}    0.3521

{txt}{ralign 78:(Std. Err. adjusted for {res:187} clusters in hc_id)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}e_treatq~l_z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2} .0702541{col 26}{space 2} .0263569{col 37}{space 1}    2.67{col 46}{space 3}0.008{col 54}{space 4} .0182572{col 67}{space 3}  .122251
{txt}b_treatq~l_z {c |}{col 14}{res}{space 2} .0975202{col 26}{space 2} .0201453{col 37}{space 1}    4.84{col 46}{space 3}0.000{col 54}{space 4} .0577777{col 67}{space 3} .1372628
{txt}b_trea~l_z_d {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 1}c_tfull_hc2 {c |}{col 14}{res}{space 2}-.0364872{col 26}{space 2} .0302334{col 37}{space 1}   -1.21{col 46}{space 3}0.229{col 54}{space 4}-.0961317{col 67}{space 3} .0231573
{txt}c_tfull_b_~l {c |}{col 14}{res}{space 2} .0347704{col 26}{space 2} .0357458{col 37}{space 1}    0.97{col 46}{space 3}0.332{col 54}{space 4}-.0357489{col 67}{space 3} .1052897
{txt}c_tfull_b_~s {c |}{col 14}{res}{space 2} .0245656{col 26}{space 2}  .041264{col 37}{space 1}    0.60{col 46}{space 3}0.552{col 54}{space 4}-.0568401{col 67}{space 3} .1059713
{txt}c_tfull_b_~d {c |}{col 14}{res}{space 2} .0272133{col 26}{space 2} .0158992{col 37}{space 1}    1.71{col 46}{space 3}0.089{col 54}{space 4}-.0041525{col 67}{space 3} .0585792
{txt}c_tfull_ed~r {c |}{col 14}{res}{space 2}-.0016339{col 26}{space 2} .0011181{col 37}{space 1}   -1.46{col 46}{space 3}0.146{col 54}{space 4}-.0038397{col 67}{space 3} .0005718
{txt}c_tfull_b_~x {c |}{col 14}{res}{space 2}-.0095979{col 26}{space 2} .0053077{col 37}{space 1}   -1.81{col 46}{space 3}0.072{col 54}{space 4} -.020069{col 67}{space 3} .0008732
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} .0005086{col 26}{space 2}  .020236{col 37}{space 1}    0.03{col 46}{space 3}0.980{col 54}{space 4}-.0394129{col 67}{space 3} .0404301
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull = .03{p_end}

{txt}       F(  1,   186) ={res}    2.33
{txt}{col 13}Prob > F ={res}    0.1284

{p 0 7}{space 1}{text:( 1)}{space 1} treatfull = -.03{p_end}

{txt}       F(  1,   186) ={res}   14.47
{txt}{col 13}Prob > F ={res}    0.0002
{txt}note: b_treatqual_z_d omitted because of collinearity
{res}
{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}     7,288
{txt}{col 49}F({res}   8{txt},{res}    186{txt}){col 67}= {res}      6.45
{txt}{col 49}Prob > F{col 67}= {res}    0.0000
{txt}{col 49}R-squared{col 67}= {res}    0.0978
{txt}{col 49}Adj R-squared{col 67}= {res}    0.0950
{txt}{col 49}Root MSE{col 67}= {res}    0.3521

{txt}{ralign 78:(Std. Err. adjusted for {res:187} clusters in hc_id)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}e_treatq~l_z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2} .0702541{col 26}{space 2} .0263569{col 37}{space 1}    2.67{col 46}{space 3}0.008{col 54}{space 4} .0182572{col 67}{space 3}  .122251
{txt}b_treatq~l_z {c |}{col 14}{res}{space 2} .0975202{col 26}{space 2} .0201453{col 37}{space 1}    4.84{col 46}{space 3}0.000{col 54}{space 4} .0577777{col 67}{space 3} .1372628
{txt}b_trea~l_z_d {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 1}c_tfull_hc2 {c |}{col 14}{res}{space 2}-.0364872{col 26}{space 2} .0302334{col 37}{space 1}   -1.21{col 46}{space 3}0.229{col 54}{space 4}-.0961317{col 67}{space 3} .0231573
{txt}c_tfull_b_~l {c |}{col 14}{res}{space 2} .0347704{col 26}{space 2} .0357458{col 37}{space 1}    0.97{col 46}{space 3}0.332{col 54}{space 4}-.0357489{col 67}{space 3} .1052897
{txt}c_tfull_b_~s {c |}{col 14}{res}{space 2} .0245656{col 26}{space 2}  .041264{col 37}{space 1}    0.60{col 46}{space 3}0.552{col 54}{space 4}-.0568401{col 67}{space 3} .1059713
{txt}c_tfull_b_~d {c |}{col 14}{res}{space 2} .0272133{col 26}{space 2} .0158992{col 37}{space 1}    1.71{col 46}{space 3}0.089{col 54}{space 4}-.0041525{col 67}{space 3} .0585792
{txt}c_tfull_ed~r {c |}{col 14}{res}{space 2}-.0016339{col 26}{space 2} .0011181{col 37}{space 1}   -1.46{col 46}{space 3}0.146{col 54}{space 4}-.0038397{col 67}{space 3} .0005718
{txt}c_tfull_b_~x {c |}{col 14}{res}{space 2}-.0095979{col 26}{space 2} .0053077{col 37}{space 1}   -1.81{col 46}{space 3}0.072{col 54}{space 4} -.020069{col 67}{space 3} .0008732
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} .0005086{col 26}{space 2}  .020236{col 37}{space 1}    0.03{col 46}{space 3}0.980{col 54}{space 4}-.0394129{col 67}{space 3} .0404301
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull = .031{p_end}

{txt}       F(  1,   186) ={res}    2.22
{txt}{col 13}Prob > F ={res}    0.1381

{p 0 7}{space 1}{text:( 1)}{space 1} treatfull = -.031{p_end}

{txt}       F(  1,   186) ={res}   14.76
{txt}{col 13}Prob > F ={res}    0.0002
{txt}note: b_treatqual_z_d omitted because of collinearity
{res}
{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}     7,288
{txt}{col 49}F({res}   8{txt},{res}    186{txt}){col 67}= {res}      6.45
{txt}{col 49}Prob > F{col 67}= {res}    0.0000
{txt}{col 49}R-squared{col 67}= {res}    0.0978
{txt}{col 49}Adj R-squared{col 67}= {res}    0.0950
{txt}{col 49}Root MSE{col 67}= {res}    0.3521

{txt}{ralign 78:(Std. Err. adjusted for {res:187} clusters in hc_id)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}e_treatq~l_z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2} .0702541{col 26}{space 2} .0263569{col 37}{space 1}    2.67{col 46}{space 3}0.008{col 54}{space 4} .0182572{col 67}{space 3}  .122251
{txt}b_treatq~l_z {c |}{col 14}{res}{space 2} .0975202{col 26}{space 2} .0201453{col 37}{space 1}    4.84{col 46}{space 3}0.000{col 54}{space 4} .0577777{col 67}{space 3} .1372628
{txt}b_trea~l_z_d {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 1}c_tfull_hc2 {c |}{col 14}{res}{space 2}-.0364872{col 26}{space 2} .0302334{col 37}{space 1}   -1.21{col 46}{space 3}0.229{col 54}{space 4}-.0961317{col 67}{space 3} .0231573
{txt}c_tfull_b_~l {c |}{col 14}{res}{space 2} .0347704{col 26}{space 2} .0357458{col 37}{space 1}    0.97{col 46}{space 3}0.332{col 54}{space 4}-.0357489{col 67}{space 3} .1052897
{txt}c_tfull_b_~s {c |}{col 14}{res}{space 2} .0245656{col 26}{space 2}  .041264{col 37}{space 1}    0.60{col 46}{space 3}0.552{col 54}{space 4}-.0568401{col 67}{space 3} .1059713
{txt}c_tfull_b_~d {c |}{col 14}{res}{space 2} .0272133{col 26}{space 2} .0158992{col 37}{space 1}    1.71{col 46}{space 3}0.089{col 54}{space 4}-.0041525{col 67}{space 3} .0585792
{txt}c_tfull_ed~r {c |}{col 14}{res}{space 2}-.0016339{col 26}{space 2} .0011181{col 37}{space 1}   -1.46{col 46}{space 3}0.146{col 54}{space 4}-.0038397{col 67}{space 3} .0005718
{txt}c_tfull_b_~x {c |}{col 14}{res}{space 2}-.0095979{col 26}{space 2} .0053077{col 37}{space 1}   -1.81{col 46}{space 3}0.072{col 54}{space 4} -.020069{col 67}{space 3} .0008732
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} .0005086{col 26}{space 2}  .020236{col 37}{space 1}    0.03{col 46}{space 3}0.980{col 54}{space 4}-.0394129{col 67}{space 3} .0404301
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull = .032{p_end}

{txt}       F(  1,   186) ={res}    2.11
{txt}{col 13}Prob > F ={res}    0.1484

{p 0 7}{space 1}{text:( 1)}{space 1} treatfull = -.032{p_end}

{txt}       F(  1,   186) ={res}   15.05
{txt}{col 13}Prob > F ={res}    0.0001
{txt}note: b_treatqual_z_d omitted because of collinearity
{res}
{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}     7,288
{txt}{col 49}F({res}   8{txt},{res}    186{txt}){col 67}= {res}      6.45
{txt}{col 49}Prob > F{col 67}= {res}    0.0000
{txt}{col 49}R-squared{col 67}= {res}    0.0978
{txt}{col 49}Adj R-squared{col 67}= {res}    0.0950
{txt}{col 49}Root MSE{col 67}= {res}    0.3521

{txt}{ralign 78:(Std. Err. adjusted for {res:187} clusters in hc_id)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}e_treatq~l_z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2} .0702541{col 26}{space 2} .0263569{col 37}{space 1}    2.67{col 46}{space 3}0.008{col 54}{space 4} .0182572{col 67}{space 3}  .122251
{txt}b_treatq~l_z {c |}{col 14}{res}{space 2} .0975202{col 26}{space 2} .0201453{col 37}{space 1}    4.84{col 46}{space 3}0.000{col 54}{space 4} .0577777{col 67}{space 3} .1372628
{txt}b_trea~l_z_d {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 1}c_tfull_hc2 {c |}{col 14}{res}{space 2}-.0364872{col 26}{space 2} .0302334{col 37}{space 1}   -1.21{col 46}{space 3}0.229{col 54}{space 4}-.0961317{col 67}{space 3} .0231573
{txt}c_tfull_b_~l {c |}{col 14}{res}{space 2} .0347704{col 26}{space 2} .0357458{col 37}{space 1}    0.97{col 46}{space 3}0.332{col 54}{space 4}-.0357489{col 67}{space 3} .1052897
{txt}c_tfull_b_~s {c |}{col 14}{res}{space 2} .0245656{col 26}{space 2}  .041264{col 37}{space 1}    0.60{col 46}{space 3}0.552{col 54}{space 4}-.0568401{col 67}{space 3} .1059713
{txt}c_tfull_b_~d {c |}{col 14}{res}{space 2} .0272133{col 26}{space 2} .0158992{col 37}{space 1}    1.71{col 46}{space 3}0.089{col 54}{space 4}-.0041525{col 67}{space 3} .0585792
{txt}c_tfull_ed~r {c |}{col 14}{res}{space 2}-.0016339{col 26}{space 2} .0011181{col 37}{space 1}   -1.46{col 46}{space 3}0.146{col 54}{space 4}-.0038397{col 67}{space 3} .0005718
{txt}c_tfull_b_~x {c |}{col 14}{res}{space 2}-.0095979{col 26}{space 2} .0053077{col 37}{space 1}   -1.81{col 46}{space 3}0.072{col 54}{space 4} -.020069{col 67}{space 3} .0008732
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} .0005086{col 26}{space 2}  .020236{col 37}{space 1}    0.03{col 46}{space 3}0.980{col 54}{space 4}-.0394129{col 67}{space 3} .0404301
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull = .033{p_end}

{txt}       F(  1,   186) ={res}    2.00
{txt}{col 13}Prob > F ={res}    0.1592

{p 0 7}{space 1}{text:( 1)}{space 1} treatfull = -.033{p_end}

{txt}       F(  1,   186) ={res}   15.35
{txt}{col 13}Prob > F ={res}    0.0001
{txt}note: b_treatqual_z_d omitted because of collinearity
{res}
{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}     7,288
{txt}{col 49}F({res}   8{txt},{res}    186{txt}){col 67}= {res}      6.45
{txt}{col 49}Prob > F{col 67}= {res}    0.0000
{txt}{col 49}R-squared{col 67}= {res}    0.0978
{txt}{col 49}Adj R-squared{col 67}= {res}    0.0950
{txt}{col 49}Root MSE{col 67}= {res}    0.3521

{txt}{ralign 78:(Std. Err. adjusted for {res:187} clusters in hc_id)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}e_treatq~l_z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2} .0702541{col 26}{space 2} .0263569{col 37}{space 1}    2.67{col 46}{space 3}0.008{col 54}{space 4} .0182572{col 67}{space 3}  .122251
{txt}b_treatq~l_z {c |}{col 14}{res}{space 2} .0975202{col 26}{space 2} .0201453{col 37}{space 1}    4.84{col 46}{space 3}0.000{col 54}{space 4} .0577777{col 67}{space 3} .1372628
{txt}b_trea~l_z_d {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 1}c_tfull_hc2 {c |}{col 14}{res}{space 2}-.0364872{col 26}{space 2} .0302334{col 37}{space 1}   -1.21{col 46}{space 3}0.229{col 54}{space 4}-.0961317{col 67}{space 3} .0231573
{txt}c_tfull_b_~l {c |}{col 14}{res}{space 2} .0347704{col 26}{space 2} .0357458{col 37}{space 1}    0.97{col 46}{space 3}0.332{col 54}{space 4}-.0357489{col 67}{space 3} .1052897
{txt}c_tfull_b_~s {c |}{col 14}{res}{space 2} .0245656{col 26}{space 2}  .041264{col 37}{space 1}    0.60{col 46}{space 3}0.552{col 54}{space 4}-.0568401{col 67}{space 3} .1059713
{txt}c_tfull_b_~d {c |}{col 14}{res}{space 2} .0272133{col 26}{space 2} .0158992{col 37}{space 1}    1.71{col 46}{space 3}0.089{col 54}{space 4}-.0041525{col 67}{space 3} .0585792
{txt}c_tfull_ed~r {c |}{col 14}{res}{space 2}-.0016339{col 26}{space 2} .0011181{col 37}{space 1}   -1.46{col 46}{space 3}0.146{col 54}{space 4}-.0038397{col 67}{space 3} .0005718
{txt}c_tfull_b_~x {c |}{col 14}{res}{space 2}-.0095979{col 26}{space 2} .0053077{col 37}{space 1}   -1.81{col 46}{space 3}0.072{col 54}{space 4} -.020069{col 67}{space 3} .0008732
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} .0005086{col 26}{space 2}  .020236{col 37}{space 1}    0.03{col 46}{space 3}0.980{col 54}{space 4}-.0394129{col 67}{space 3} .0404301
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull = .034{p_end}

{txt}       F(  1,   186) ={res}    1.89
{txt}{col 13}Prob > F ={res}    0.1706

{p 0 7}{space 1}{text:( 1)}{space 1} treatfull = -.034{p_end}

{txt}       F(  1,   186) ={res}   15.65
{txt}{col 13}Prob > F ={res}    0.0001
{txt}note: b_treatqual_z_d omitted because of collinearity
{res}
{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}     7,288
{txt}{col 49}F({res}   8{txt},{res}    186{txt}){col 67}= {res}      6.45
{txt}{col 49}Prob > F{col 67}= {res}    0.0000
{txt}{col 49}R-squared{col 67}= {res}    0.0978
{txt}{col 49}Adj R-squared{col 67}= {res}    0.0950
{txt}{col 49}Root MSE{col 67}= {res}    0.3521

{txt}{ralign 78:(Std. Err. adjusted for {res:187} clusters in hc_id)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}e_treatq~l_z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2} .0702541{col 26}{space 2} .0263569{col 37}{space 1}    2.67{col 46}{space 3}0.008{col 54}{space 4} .0182572{col 67}{space 3}  .122251
{txt}b_treatq~l_z {c |}{col 14}{res}{space 2} .0975202{col 26}{space 2} .0201453{col 37}{space 1}    4.84{col 46}{space 3}0.000{col 54}{space 4} .0577777{col 67}{space 3} .1372628
{txt}b_trea~l_z_d {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 1}c_tfull_hc2 {c |}{col 14}{res}{space 2}-.0364872{col 26}{space 2} .0302334{col 37}{space 1}   -1.21{col 46}{space 3}0.229{col 54}{space 4}-.0961317{col 67}{space 3} .0231573
{txt}c_tfull_b_~l {c |}{col 14}{res}{space 2} .0347704{col 26}{space 2} .0357458{col 37}{space 1}    0.97{col 46}{space 3}0.332{col 54}{space 4}-.0357489{col 67}{space 3} .1052897
{txt}c_tfull_b_~s {c |}{col 14}{res}{space 2} .0245656{col 26}{space 2}  .041264{col 37}{space 1}    0.60{col 46}{space 3}0.552{col 54}{space 4}-.0568401{col 67}{space 3} .1059713
{txt}c_tfull_b_~d {c |}{col 14}{res}{space 2} .0272133{col 26}{space 2} .0158992{col 37}{space 1}    1.71{col 46}{space 3}0.089{col 54}{space 4}-.0041525{col 67}{space 3} .0585792
{txt}c_tfull_ed~r {c |}{col 14}{res}{space 2}-.0016339{col 26}{space 2} .0011181{col 37}{space 1}   -1.46{col 46}{space 3}0.146{col 54}{space 4}-.0038397{col 67}{space 3} .0005718
{txt}c_tfull_b_~x {c |}{col 14}{res}{space 2}-.0095979{col 26}{space 2} .0053077{col 37}{space 1}   -1.81{col 46}{space 3}0.072{col 54}{space 4} -.020069{col 67}{space 3} .0008732
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} .0005086{col 26}{space 2}  .020236{col 37}{space 1}    0.03{col 46}{space 3}0.980{col 54}{space 4}-.0394129{col 67}{space 3} .0404301
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull = .035{p_end}

{txt}       F(  1,   186) ={res}    1.79
{txt}{col 13}Prob > F ={res}    0.1827

{p 0 7}{space 1}{text:( 1)}{space 1} treatfull = -.035{p_end}

{txt}       F(  1,   186) ={res}   15.95
{txt}{col 13}Prob > F ={res}    0.0001
{txt}note: b_treatqual_z_d omitted because of collinearity
{res}
{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}     7,288
{txt}{col 49}F({res}   8{txt},{res}    186{txt}){col 67}= {res}      6.45
{txt}{col 49}Prob > F{col 67}= {res}    0.0000
{txt}{col 49}R-squared{col 67}= {res}    0.0978
{txt}{col 49}Adj R-squared{col 67}= {res}    0.0950
{txt}{col 49}Root MSE{col 67}= {res}    0.3521

{txt}{ralign 78:(Std. Err. adjusted for {res:187} clusters in hc_id)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}e_treatq~l_z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2} .0702541{col 26}{space 2} .0263569{col 37}{space 1}    2.67{col 46}{space 3}0.008{col 54}{space 4} .0182572{col 67}{space 3}  .122251
{txt}b_treatq~l_z {c |}{col 14}{res}{space 2} .0975202{col 26}{space 2} .0201453{col 37}{space 1}    4.84{col 46}{space 3}0.000{col 54}{space 4} .0577777{col 67}{space 3} .1372628
{txt}b_trea~l_z_d {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 1}c_tfull_hc2 {c |}{col 14}{res}{space 2}-.0364872{col 26}{space 2} .0302334{col 37}{space 1}   -1.21{col 46}{space 3}0.229{col 54}{space 4}-.0961317{col 67}{space 3} .0231573
{txt}c_tfull_b_~l {c |}{col 14}{res}{space 2} .0347704{col 26}{space 2} .0357458{col 37}{space 1}    0.97{col 46}{space 3}0.332{col 54}{space 4}-.0357489{col 67}{space 3} .1052897
{txt}c_tfull_b_~s {c |}{col 14}{res}{space 2} .0245656{col 26}{space 2}  .041264{col 37}{space 1}    0.60{col 46}{space 3}0.552{col 54}{space 4}-.0568401{col 67}{space 3} .1059713
{txt}c_tfull_b_~d {c |}{col 14}{res}{space 2} .0272133{col 26}{space 2} .0158992{col 37}{space 1}    1.71{col 46}{space 3}0.089{col 54}{space 4}-.0041525{col 67}{space 3} .0585792
{txt}c_tfull_ed~r {c |}{col 14}{res}{space 2}-.0016339{col 26}{space 2} .0011181{col 37}{space 1}   -1.46{col 46}{space 3}0.146{col 54}{space 4}-.0038397{col 67}{space 3} .0005718
{txt}c_tfull_b_~x {c |}{col 14}{res}{space 2}-.0095979{col 26}{space 2} .0053077{col 37}{space 1}   -1.81{col 46}{space 3}0.072{col 54}{space 4} -.020069{col 67}{space 3} .0008732
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} .0005086{col 26}{space 2}  .020236{col 37}{space 1}    0.03{col 46}{space 3}0.980{col 54}{space 4}-.0394129{col 67}{space 3} .0404301
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull = .036{p_end}

{txt}       F(  1,   186) ={res}    1.69
{txt}{col 13}Prob > F ={res}    0.1953

{p 0 7}{space 1}{text:( 1)}{space 1} treatfull = -.036{p_end}

{txt}       F(  1,   186) ={res}   16.25
{txt}{col 13}Prob > F ={res}    0.0001
{txt}note: b_treatqual_z_d omitted because of collinearity
{res}
{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}     7,288
{txt}{col 49}F({res}   8{txt},{res}    186{txt}){col 67}= {res}      6.45
{txt}{col 49}Prob > F{col 67}= {res}    0.0000
{txt}{col 49}R-squared{col 67}= {res}    0.0978
{txt}{col 49}Adj R-squared{col 67}= {res}    0.0950
{txt}{col 49}Root MSE{col 67}= {res}    0.3521

{txt}{ralign 78:(Std. Err. adjusted for {res:187} clusters in hc_id)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}e_treatq~l_z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2} .0702541{col 26}{space 2} .0263569{col 37}{space 1}    2.67{col 46}{space 3}0.008{col 54}{space 4} .0182572{col 67}{space 3}  .122251
{txt}b_treatq~l_z {c |}{col 14}{res}{space 2} .0975202{col 26}{space 2} .0201453{col 37}{space 1}    4.84{col 46}{space 3}0.000{col 54}{space 4} .0577777{col 67}{space 3} .1372628
{txt}b_trea~l_z_d {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 1}c_tfull_hc2 {c |}{col 14}{res}{space 2}-.0364872{col 26}{space 2} .0302334{col 37}{space 1}   -1.21{col 46}{space 3}0.229{col 54}{space 4}-.0961317{col 67}{space 3} .0231573
{txt}c_tfull_b_~l {c |}{col 14}{res}{space 2} .0347704{col 26}{space 2} .0357458{col 37}{space 1}    0.97{col 46}{space 3}0.332{col 54}{space 4}-.0357489{col 67}{space 3} .1052897
{txt}c_tfull_b_~s {c |}{col 14}{res}{space 2} .0245656{col 26}{space 2}  .041264{col 37}{space 1}    0.60{col 46}{space 3}0.552{col 54}{space 4}-.0568401{col 67}{space 3} .1059713
{txt}c_tfull_b_~d {c |}{col 14}{res}{space 2} .0272133{col 26}{space 2} .0158992{col 37}{space 1}    1.71{col 46}{space 3}0.089{col 54}{space 4}-.0041525{col 67}{space 3} .0585792
{txt}c_tfull_ed~r {c |}{col 14}{res}{space 2}-.0016339{col 26}{space 2} .0011181{col 37}{space 1}   -1.46{col 46}{space 3}0.146{col 54}{space 4}-.0038397{col 67}{space 3} .0005718
{txt}c_tfull_b_~x {c |}{col 14}{res}{space 2}-.0095979{col 26}{space 2} .0053077{col 37}{space 1}   -1.81{col 46}{space 3}0.072{col 54}{space 4} -.020069{col 67}{space 3} .0008732
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} .0005086{col 26}{space 2}  .020236{col 37}{space 1}    0.03{col 46}{space 3}0.980{col 54}{space 4}-.0394129{col 67}{space 3} .0404301
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull = .037{p_end}

{txt}       F(  1,   186) ={res}    1.59
{txt}{col 13}Prob > F ={res}    0.2086

{p 0 7}{space 1}{text:( 1)}{space 1} treatfull = -.037{p_end}

{txt}       F(  1,   186) ={res}   16.56
{txt}{col 13}Prob > F ={res}    0.0001
{txt}note: b_treatqual_z_d omitted because of collinearity
{res}
{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}     7,288
{txt}{col 49}F({res}   8{txt},{res}    186{txt}){col 67}= {res}      6.45
{txt}{col 49}Prob > F{col 67}= {res}    0.0000
{txt}{col 49}R-squared{col 67}= {res}    0.0978
{txt}{col 49}Adj R-squared{col 67}= {res}    0.0950
{txt}{col 49}Root MSE{col 67}= {res}    0.3521

{txt}{ralign 78:(Std. Err. adjusted for {res:187} clusters in hc_id)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}e_treatq~l_z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2} .0702541{col 26}{space 2} .0263569{col 37}{space 1}    2.67{col 46}{space 3}0.008{col 54}{space 4} .0182572{col 67}{space 3}  .122251
{txt}b_treatq~l_z {c |}{col 14}{res}{space 2} .0975202{col 26}{space 2} .0201453{col 37}{space 1}    4.84{col 46}{space 3}0.000{col 54}{space 4} .0577777{col 67}{space 3} .1372628
{txt}b_trea~l_z_d {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 1}c_tfull_hc2 {c |}{col 14}{res}{space 2}-.0364872{col 26}{space 2} .0302334{col 37}{space 1}   -1.21{col 46}{space 3}0.229{col 54}{space 4}-.0961317{col 67}{space 3} .0231573
{txt}c_tfull_b_~l {c |}{col 14}{res}{space 2} .0347704{col 26}{space 2} .0357458{col 37}{space 1}    0.97{col 46}{space 3}0.332{col 54}{space 4}-.0357489{col 67}{space 3} .1052897
{txt}c_tfull_b_~s {c |}{col 14}{res}{space 2} .0245656{col 26}{space 2}  .041264{col 37}{space 1}    0.60{col 46}{space 3}0.552{col 54}{space 4}-.0568401{col 67}{space 3} .1059713
{txt}c_tfull_b_~d {c |}{col 14}{res}{space 2} .0272133{col 26}{space 2} .0158992{col 37}{space 1}    1.71{col 46}{space 3}0.089{col 54}{space 4}-.0041525{col 67}{space 3} .0585792
{txt}c_tfull_ed~r {c |}{col 14}{res}{space 2}-.0016339{col 26}{space 2} .0011181{col 37}{space 1}   -1.46{col 46}{space 3}0.146{col 54}{space 4}-.0038397{col 67}{space 3} .0005718
{txt}c_tfull_b_~x {c |}{col 14}{res}{space 2}-.0095979{col 26}{space 2} .0053077{col 37}{space 1}   -1.81{col 46}{space 3}0.072{col 54}{space 4} -.020069{col 67}{space 3} .0008732
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} .0005086{col 26}{space 2}  .020236{col 37}{space 1}    0.03{col 46}{space 3}0.980{col 54}{space 4}-.0394129{col 67}{space 3} .0404301
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull = .038{p_end}

{txt}       F(  1,   186) ={res}    1.50
{txt}{col 13}Prob > F ={res}    0.2226

{p 0 7}{space 1}{text:( 1)}{space 1} treatfull = -.038{p_end}

{txt}       F(  1,   186) ={res}   16.87
{txt}{col 13}Prob > F ={res}    0.0001
{txt}note: b_treatqual_z_d omitted because of collinearity
{res}
{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}     7,288
{txt}{col 49}F({res}   8{txt},{res}    186{txt}){col 67}= {res}      6.45
{txt}{col 49}Prob > F{col 67}= {res}    0.0000
{txt}{col 49}R-squared{col 67}= {res}    0.0978
{txt}{col 49}Adj R-squared{col 67}= {res}    0.0950
{txt}{col 49}Root MSE{col 67}= {res}    0.3521

{txt}{ralign 78:(Std. Err. adjusted for {res:187} clusters in hc_id)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}e_treatq~l_z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2} .0702541{col 26}{space 2} .0263569{col 37}{space 1}    2.67{col 46}{space 3}0.008{col 54}{space 4} .0182572{col 67}{space 3}  .122251
{txt}b_treatq~l_z {c |}{col 14}{res}{space 2} .0975202{col 26}{space 2} .0201453{col 37}{space 1}    4.84{col 46}{space 3}0.000{col 54}{space 4} .0577777{col 67}{space 3} .1372628
{txt}b_trea~l_z_d {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 1}c_tfull_hc2 {c |}{col 14}{res}{space 2}-.0364872{col 26}{space 2} .0302334{col 37}{space 1}   -1.21{col 46}{space 3}0.229{col 54}{space 4}-.0961317{col 67}{space 3} .0231573
{txt}c_tfull_b_~l {c |}{col 14}{res}{space 2} .0347704{col 26}{space 2} .0357458{col 37}{space 1}    0.97{col 46}{space 3}0.332{col 54}{space 4}-.0357489{col 67}{space 3} .1052897
{txt}c_tfull_b_~s {c |}{col 14}{res}{space 2} .0245656{col 26}{space 2}  .041264{col 37}{space 1}    0.60{col 46}{space 3}0.552{col 54}{space 4}-.0568401{col 67}{space 3} .1059713
{txt}c_tfull_b_~d {c |}{col 14}{res}{space 2} .0272133{col 26}{space 2} .0158992{col 37}{space 1}    1.71{col 46}{space 3}0.089{col 54}{space 4}-.0041525{col 67}{space 3} .0585792
{txt}c_tfull_ed~r {c |}{col 14}{res}{space 2}-.0016339{col 26}{space 2} .0011181{col 37}{space 1}   -1.46{col 46}{space 3}0.146{col 54}{space 4}-.0038397{col 67}{space 3} .0005718
{txt}c_tfull_b_~x {c |}{col 14}{res}{space 2}-.0095979{col 26}{space 2} .0053077{col 37}{space 1}   -1.81{col 46}{space 3}0.072{col 54}{space 4} -.020069{col 67}{space 3} .0008732
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} .0005086{col 26}{space 2}  .020236{col 37}{space 1}    0.03{col 46}{space 3}0.980{col 54}{space 4}-.0394129{col 67}{space 3} .0404301
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull = .039{p_end}

{txt}       F(  1,   186) ={res}    1.41
{txt}{col 13}Prob > F ={res}    0.2372

{p 0 7}{space 1}{text:( 1)}{space 1} treatfull = -.039{p_end}

{txt}       F(  1,   186) ={res}   17.18
{txt}{col 13}Prob > F ={res}    0.0001
{txt}note: b_treatqual_z_d omitted because of collinearity
{res}
{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}     7,288
{txt}{col 49}F({res}   8{txt},{res}    186{txt}){col 67}= {res}      6.45
{txt}{col 49}Prob > F{col 67}= {res}    0.0000
{txt}{col 49}R-squared{col 67}= {res}    0.0978
{txt}{col 49}Adj R-squared{col 67}= {res}    0.0950
{txt}{col 49}Root MSE{col 67}= {res}    0.3521

{txt}{ralign 78:(Std. Err. adjusted for {res:187} clusters in hc_id)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}e_treatq~l_z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2} .0702541{col 26}{space 2} .0263569{col 37}{space 1}    2.67{col 46}{space 3}0.008{col 54}{space 4} .0182572{col 67}{space 3}  .122251
{txt}b_treatq~l_z {c |}{col 14}{res}{space 2} .0975202{col 26}{space 2} .0201453{col 37}{space 1}    4.84{col 46}{space 3}0.000{col 54}{space 4} .0577777{col 67}{space 3} .1372628
{txt}b_trea~l_z_d {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 1}c_tfull_hc2 {c |}{col 14}{res}{space 2}-.0364872{col 26}{space 2} .0302334{col 37}{space 1}   -1.21{col 46}{space 3}0.229{col 54}{space 4}-.0961317{col 67}{space 3} .0231573
{txt}c_tfull_b_~l {c |}{col 14}{res}{space 2} .0347704{col 26}{space 2} .0357458{col 37}{space 1}    0.97{col 46}{space 3}0.332{col 54}{space 4}-.0357489{col 67}{space 3} .1052897
{txt}c_tfull_b_~s {c |}{col 14}{res}{space 2} .0245656{col 26}{space 2}  .041264{col 37}{space 1}    0.60{col 46}{space 3}0.552{col 54}{space 4}-.0568401{col 67}{space 3} .1059713
{txt}c_tfull_b_~d {c |}{col 14}{res}{space 2} .0272133{col 26}{space 2} .0158992{col 37}{space 1}    1.71{col 46}{space 3}0.089{col 54}{space 4}-.0041525{col 67}{space 3} .0585792
{txt}c_tfull_ed~r {c |}{col 14}{res}{space 2}-.0016339{col 26}{space 2} .0011181{col 37}{space 1}   -1.46{col 46}{space 3}0.146{col 54}{space 4}-.0038397{col 67}{space 3} .0005718
{txt}c_tfull_b_~x {c |}{col 14}{res}{space 2}-.0095979{col 26}{space 2} .0053077{col 37}{space 1}   -1.81{col 46}{space 3}0.072{col 54}{space 4} -.020069{col 67}{space 3} .0008732
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} .0005086{col 26}{space 2}  .020236{col 37}{space 1}    0.03{col 46}{space 3}0.980{col 54}{space 4}-.0394129{col 67}{space 3} .0404301
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull = .04{p_end}

{txt}       F(  1,   186) ={res}    1.32
{txt}{col 13}Prob > F ={res}    0.2525

{p 0 7}{space 1}{text:( 1)}{space 1} treatfull = -.04{p_end}

{txt}       F(  1,   186) ={res}   17.50
{txt}{col 13}Prob > F ={res}    0.0000
{txt}note: b_treatqual_z_d omitted because of collinearity
{res}
{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}     7,288
{txt}{col 49}F({res}   8{txt},{res}    186{txt}){col 67}= {res}      6.45
{txt}{col 49}Prob > F{col 67}= {res}    0.0000
{txt}{col 49}R-squared{col 67}= {res}    0.0978
{txt}{col 49}Adj R-squared{col 67}= {res}    0.0950
{txt}{col 49}Root MSE{col 67}= {res}    0.3521

{txt}{ralign 78:(Std. Err. adjusted for {res:187} clusters in hc_id)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}e_treatq~l_z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2} .0702541{col 26}{space 2} .0263569{col 37}{space 1}    2.67{col 46}{space 3}0.008{col 54}{space 4} .0182572{col 67}{space 3}  .122251
{txt}b_treatq~l_z {c |}{col 14}{res}{space 2} .0975202{col 26}{space 2} .0201453{col 37}{space 1}    4.84{col 46}{space 3}0.000{col 54}{space 4} .0577777{col 67}{space 3} .1372628
{txt}b_trea~l_z_d {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 1}c_tfull_hc2 {c |}{col 14}{res}{space 2}-.0364872{col 26}{space 2} .0302334{col 37}{space 1}   -1.21{col 46}{space 3}0.229{col 54}{space 4}-.0961317{col 67}{space 3} .0231573
{txt}c_tfull_b_~l {c |}{col 14}{res}{space 2} .0347704{col 26}{space 2} .0357458{col 37}{space 1}    0.97{col 46}{space 3}0.332{col 54}{space 4}-.0357489{col 67}{space 3} .1052897
{txt}c_tfull_b_~s {c |}{col 14}{res}{space 2} .0245656{col 26}{space 2}  .041264{col 37}{space 1}    0.60{col 46}{space 3}0.552{col 54}{space 4}-.0568401{col 67}{space 3} .1059713
{txt}c_tfull_b_~d {c |}{col 14}{res}{space 2} .0272133{col 26}{space 2} .0158992{col 37}{space 1}    1.71{col 46}{space 3}0.089{col 54}{space 4}-.0041525{col 67}{space 3} .0585792
{txt}c_tfull_ed~r {c |}{col 14}{res}{space 2}-.0016339{col 26}{space 2} .0011181{col 37}{space 1}   -1.46{col 46}{space 3}0.146{col 54}{space 4}-.0038397{col 67}{space 3} .0005718
{txt}c_tfull_b_~x {c |}{col 14}{res}{space 2}-.0095979{col 26}{space 2} .0053077{col 37}{space 1}   -1.81{col 46}{space 3}0.072{col 54}{space 4} -.020069{col 67}{space 3} .0008732
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} .0005086{col 26}{space 2}  .020236{col 37}{space 1}    0.03{col 46}{space 3}0.980{col 54}{space 4}-.0394129{col 67}{space 3} .0404301
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull = .041{p_end}

{txt}       F(  1,   186) ={res}    1.23
{txt}{col 13}Prob > F ={res}    0.2685

{p 0 7}{space 1}{text:( 1)}{space 1} treatfull = -.041{p_end}

{txt}       F(  1,   186) ={res}   17.82
{txt}{col 13}Prob > F ={res}    0.0000
{txt}note: b_treatqual_z_d omitted because of collinearity
{res}
{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}     7,288
{txt}{col 49}F({res}   8{txt},{res}    186{txt}){col 67}= {res}      6.45
{txt}{col 49}Prob > F{col 67}= {res}    0.0000
{txt}{col 49}R-squared{col 67}= {res}    0.0978
{txt}{col 49}Adj R-squared{col 67}= {res}    0.0950
{txt}{col 49}Root MSE{col 67}= {res}    0.3521

{txt}{ralign 78:(Std. Err. adjusted for {res:187} clusters in hc_id)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}e_treatq~l_z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2} .0702541{col 26}{space 2} .0263569{col 37}{space 1}    2.67{col 46}{space 3}0.008{col 54}{space 4} .0182572{col 67}{space 3}  .122251
{txt}b_treatq~l_z {c |}{col 14}{res}{space 2} .0975202{col 26}{space 2} .0201453{col 37}{space 1}    4.84{col 46}{space 3}0.000{col 54}{space 4} .0577777{col 67}{space 3} .1372628
{txt}b_trea~l_z_d {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 1}c_tfull_hc2 {c |}{col 14}{res}{space 2}-.0364872{col 26}{space 2} .0302334{col 37}{space 1}   -1.21{col 46}{space 3}0.229{col 54}{space 4}-.0961317{col 67}{space 3} .0231573
{txt}c_tfull_b_~l {c |}{col 14}{res}{space 2} .0347704{col 26}{space 2} .0357458{col 37}{space 1}    0.97{col 46}{space 3}0.332{col 54}{space 4}-.0357489{col 67}{space 3} .1052897
{txt}c_tfull_b_~s {c |}{col 14}{res}{space 2} .0245656{col 26}{space 2}  .041264{col 37}{space 1}    0.60{col 46}{space 3}0.552{col 54}{space 4}-.0568401{col 67}{space 3} .1059713
{txt}c_tfull_b_~d {c |}{col 14}{res}{space 2} .0272133{col 26}{space 2} .0158992{col 37}{space 1}    1.71{col 46}{space 3}0.089{col 54}{space 4}-.0041525{col 67}{space 3} .0585792
{txt}c_tfull_ed~r {c |}{col 14}{res}{space 2}-.0016339{col 26}{space 2} .0011181{col 37}{space 1}   -1.46{col 46}{space 3}0.146{col 54}{space 4}-.0038397{col 67}{space 3} .0005718
{txt}c_tfull_b_~x {c |}{col 14}{res}{space 2}-.0095979{col 26}{space 2} .0053077{col 37}{space 1}   -1.81{col 46}{space 3}0.072{col 54}{space 4} -.020069{col 67}{space 3} .0008732
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} .0005086{col 26}{space 2}  .020236{col 37}{space 1}    0.03{col 46}{space 3}0.980{col 54}{space 4}-.0394129{col 67}{space 3} .0404301
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull = .042{p_end}

{txt}       F(  1,   186) ={res}    1.15
{txt}{col 13}Prob > F ={res}    0.2851

{p 0 7}{space 1}{text:( 1)}{space 1} treatfull = -.042{p_end}

{txt}       F(  1,   186) ={res}   18.14
{txt}{col 13}Prob > F ={res}    0.0000
{txt}note: b_treatqual_z_d omitted because of collinearity
{res}
{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}     7,288
{txt}{col 49}F({res}   8{txt},{res}    186{txt}){col 67}= {res}      6.45
{txt}{col 49}Prob > F{col 67}= {res}    0.0000
{txt}{col 49}R-squared{col 67}= {res}    0.0978
{txt}{col 49}Adj R-squared{col 67}= {res}    0.0950
{txt}{col 49}Root MSE{col 67}= {res}    0.3521

{txt}{ralign 78:(Std. Err. adjusted for {res:187} clusters in hc_id)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}e_treatq~l_z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2} .0702541{col 26}{space 2} .0263569{col 37}{space 1}    2.67{col 46}{space 3}0.008{col 54}{space 4} .0182572{col 67}{space 3}  .122251
{txt}b_treatq~l_z {c |}{col 14}{res}{space 2} .0975202{col 26}{space 2} .0201453{col 37}{space 1}    4.84{col 46}{space 3}0.000{col 54}{space 4} .0577777{col 67}{space 3} .1372628
{txt}b_trea~l_z_d {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 1}c_tfull_hc2 {c |}{col 14}{res}{space 2}-.0364872{col 26}{space 2} .0302334{col 37}{space 1}   -1.21{col 46}{space 3}0.229{col 54}{space 4}-.0961317{col 67}{space 3} .0231573
{txt}c_tfull_b_~l {c |}{col 14}{res}{space 2} .0347704{col 26}{space 2} .0357458{col 37}{space 1}    0.97{col 46}{space 3}0.332{col 54}{space 4}-.0357489{col 67}{space 3} .1052897
{txt}c_tfull_b_~s {c |}{col 14}{res}{space 2} .0245656{col 26}{space 2}  .041264{col 37}{space 1}    0.60{col 46}{space 3}0.552{col 54}{space 4}-.0568401{col 67}{space 3} .1059713
{txt}c_tfull_b_~d {c |}{col 14}{res}{space 2} .0272133{col 26}{space 2} .0158992{col 37}{space 1}    1.71{col 46}{space 3}0.089{col 54}{space 4}-.0041525{col 67}{space 3} .0585792
{txt}c_tfull_ed~r {c |}{col 14}{res}{space 2}-.0016339{col 26}{space 2} .0011181{col 37}{space 1}   -1.46{col 46}{space 3}0.146{col 54}{space 4}-.0038397{col 67}{space 3} .0005718
{txt}c_tfull_b_~x {c |}{col 14}{res}{space 2}-.0095979{col 26}{space 2} .0053077{col 37}{space 1}   -1.81{col 46}{space 3}0.072{col 54}{space 4} -.020069{col 67}{space 3} .0008732
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} .0005086{col 26}{space 2}  .020236{col 37}{space 1}    0.03{col 46}{space 3}0.980{col 54}{space 4}-.0394129{col 67}{space 3} .0404301
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull = .043{p_end}

{txt}       F(  1,   186) ={res}    1.07
{txt}{col 13}Prob > F ={res}    0.3025

{p 0 7}{space 1}{text:( 1)}{space 1} treatfull = -.043{p_end}

{txt}       F(  1,   186) ={res}   18.46
{txt}{col 13}Prob > F ={res}    0.0000
{txt}note: b_treatqual_z_d omitted because of collinearity
{res}
{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}     7,288
{txt}{col 49}F({res}   8{txt},{res}    186{txt}){col 67}= {res}      6.45
{txt}{col 49}Prob > F{col 67}= {res}    0.0000
{txt}{col 49}R-squared{col 67}= {res}    0.0978
{txt}{col 49}Adj R-squared{col 67}= {res}    0.0950
{txt}{col 49}Root MSE{col 67}= {res}    0.3521

{txt}{ralign 78:(Std. Err. adjusted for {res:187} clusters in hc_id)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}e_treatq~l_z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2} .0702541{col 26}{space 2} .0263569{col 37}{space 1}    2.67{col 46}{space 3}0.008{col 54}{space 4} .0182572{col 67}{space 3}  .122251
{txt}b_treatq~l_z {c |}{col 14}{res}{space 2} .0975202{col 26}{space 2} .0201453{col 37}{space 1}    4.84{col 46}{space 3}0.000{col 54}{space 4} .0577777{col 67}{space 3} .1372628
{txt}b_trea~l_z_d {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 1}c_tfull_hc2 {c |}{col 14}{res}{space 2}-.0364872{col 26}{space 2} .0302334{col 37}{space 1}   -1.21{col 46}{space 3}0.229{col 54}{space 4}-.0961317{col 67}{space 3} .0231573
{txt}c_tfull_b_~l {c |}{col 14}{res}{space 2} .0347704{col 26}{space 2} .0357458{col 37}{space 1}    0.97{col 46}{space 3}0.332{col 54}{space 4}-.0357489{col 67}{space 3} .1052897
{txt}c_tfull_b_~s {c |}{col 14}{res}{space 2} .0245656{col 26}{space 2}  .041264{col 37}{space 1}    0.60{col 46}{space 3}0.552{col 54}{space 4}-.0568401{col 67}{space 3} .1059713
{txt}c_tfull_b_~d {c |}{col 14}{res}{space 2} .0272133{col 26}{space 2} .0158992{col 37}{space 1}    1.71{col 46}{space 3}0.089{col 54}{space 4}-.0041525{col 67}{space 3} .0585792
{txt}c_tfull_ed~r {c |}{col 14}{res}{space 2}-.0016339{col 26}{space 2} .0011181{col 37}{space 1}   -1.46{col 46}{space 3}0.146{col 54}{space 4}-.0038397{col 67}{space 3} .0005718
{txt}c_tfull_b_~x {c |}{col 14}{res}{space 2}-.0095979{col 26}{space 2} .0053077{col 37}{space 1}   -1.81{col 46}{space 3}0.072{col 54}{space 4} -.020069{col 67}{space 3} .0008732
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} .0005086{col 26}{space 2}  .020236{col 37}{space 1}    0.03{col 46}{space 3}0.980{col 54}{space 4}-.0394129{col 67}{space 3} .0404301
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull = .044{p_end}

{txt}       F(  1,   186) ={res}    0.99
{txt}{col 13}Prob > F ={res}    0.3205

{p 0 7}{space 1}{text:( 1)}{space 1} treatfull = -.044{p_end}

{txt}       F(  1,   186) ={res}   18.79
{txt}{col 13}Prob > F ={res}    0.0000
{txt}note: b_treatqual_z_d omitted because of collinearity
{res}
{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}     7,288
{txt}{col 49}F({res}   8{txt},{res}    186{txt}){col 67}= {res}      6.45
{txt}{col 49}Prob > F{col 67}= {res}    0.0000
{txt}{col 49}R-squared{col 67}= {res}    0.0978
{txt}{col 49}Adj R-squared{col 67}= {res}    0.0950
{txt}{col 49}Root MSE{col 67}= {res}    0.3521

{txt}{ralign 78:(Std. Err. adjusted for {res:187} clusters in hc_id)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}e_treatq~l_z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2} .0702541{col 26}{space 2} .0263569{col 37}{space 1}    2.67{col 46}{space 3}0.008{col 54}{space 4} .0182572{col 67}{space 3}  .122251
{txt}b_treatq~l_z {c |}{col 14}{res}{space 2} .0975202{col 26}{space 2} .0201453{col 37}{space 1}    4.84{col 46}{space 3}0.000{col 54}{space 4} .0577777{col 67}{space 3} .1372628
{txt}b_trea~l_z_d {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 1}c_tfull_hc2 {c |}{col 14}{res}{space 2}-.0364872{col 26}{space 2} .0302334{col 37}{space 1}   -1.21{col 46}{space 3}0.229{col 54}{space 4}-.0961317{col 67}{space 3} .0231573
{txt}c_tfull_b_~l {c |}{col 14}{res}{space 2} .0347704{col 26}{space 2} .0357458{col 37}{space 1}    0.97{col 46}{space 3}0.332{col 54}{space 4}-.0357489{col 67}{space 3} .1052897
{txt}c_tfull_b_~s {c |}{col 14}{res}{space 2} .0245656{col 26}{space 2}  .041264{col 37}{space 1}    0.60{col 46}{space 3}0.552{col 54}{space 4}-.0568401{col 67}{space 3} .1059713
{txt}c_tfull_b_~d {c |}{col 14}{res}{space 2} .0272133{col 26}{space 2} .0158992{col 37}{space 1}    1.71{col 46}{space 3}0.089{col 54}{space 4}-.0041525{col 67}{space 3} .0585792
{txt}c_tfull_ed~r {c |}{col 14}{res}{space 2}-.0016339{col 26}{space 2} .0011181{col 37}{space 1}   -1.46{col 46}{space 3}0.146{col 54}{space 4}-.0038397{col 67}{space 3} .0005718
{txt}c_tfull_b_~x {c |}{col 14}{res}{space 2}-.0095979{col 26}{space 2} .0053077{col 37}{space 1}   -1.81{col 46}{space 3}0.072{col 54}{space 4} -.020069{col 67}{space 3} .0008732
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} .0005086{col 26}{space 2}  .020236{col 37}{space 1}    0.03{col 46}{space 3}0.980{col 54}{space 4}-.0394129{col 67}{space 3} .0404301
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull = .045{p_end}

{txt}       F(  1,   186) ={res}    0.92
{txt}{col 13}Prob > F ={res}    0.3392

{p 0 7}{space 1}{text:( 1)}{space 1} treatfull = -.045{p_end}

{txt}       F(  1,   186) ={res}   19.12
{txt}{col 13}Prob > F ={res}    0.0000
{txt}note: b_treatqual_z_d omitted because of collinearity
{res}
{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}     7,288
{txt}{col 49}F({res}   8{txt},{res}    186{txt}){col 67}= {res}      6.45
{txt}{col 49}Prob > F{col 67}= {res}    0.0000
{txt}{col 49}R-squared{col 67}= {res}    0.0978
{txt}{col 49}Adj R-squared{col 67}= {res}    0.0950
{txt}{col 49}Root MSE{col 67}= {res}    0.3521

{txt}{ralign 78:(Std. Err. adjusted for {res:187} clusters in hc_id)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}e_treatq~l_z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2} .0702541{col 26}{space 2} .0263569{col 37}{space 1}    2.67{col 46}{space 3}0.008{col 54}{space 4} .0182572{col 67}{space 3}  .122251
{txt}b_treatq~l_z {c |}{col 14}{res}{space 2} .0975202{col 26}{space 2} .0201453{col 37}{space 1}    4.84{col 46}{space 3}0.000{col 54}{space 4} .0577777{col 67}{space 3} .1372628
{txt}b_trea~l_z_d {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 1}c_tfull_hc2 {c |}{col 14}{res}{space 2}-.0364872{col 26}{space 2} .0302334{col 37}{space 1}   -1.21{col 46}{space 3}0.229{col 54}{space 4}-.0961317{col 67}{space 3} .0231573
{txt}c_tfull_b_~l {c |}{col 14}{res}{space 2} .0347704{col 26}{space 2} .0357458{col 37}{space 1}    0.97{col 46}{space 3}0.332{col 54}{space 4}-.0357489{col 67}{space 3} .1052897
{txt}c_tfull_b_~s {c |}{col 14}{res}{space 2} .0245656{col 26}{space 2}  .041264{col 37}{space 1}    0.60{col 46}{space 3}0.552{col 54}{space 4}-.0568401{col 67}{space 3} .1059713
{txt}c_tfull_b_~d {c |}{col 14}{res}{space 2} .0272133{col 26}{space 2} .0158992{col 37}{space 1}    1.71{col 46}{space 3}0.089{col 54}{space 4}-.0041525{col 67}{space 3} .0585792
{txt}c_tfull_ed~r {c |}{col 14}{res}{space 2}-.0016339{col 26}{space 2} .0011181{col 37}{space 1}   -1.46{col 46}{space 3}0.146{col 54}{space 4}-.0038397{col 67}{space 3} .0005718
{txt}c_tfull_b_~x {c |}{col 14}{res}{space 2}-.0095979{col 26}{space 2} .0053077{col 37}{space 1}   -1.81{col 46}{space 3}0.072{col 54}{space 4} -.020069{col 67}{space 3} .0008732
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} .0005086{col 26}{space 2}  .020236{col 37}{space 1}    0.03{col 46}{space 3}0.980{col 54}{space 4}-.0394129{col 67}{space 3} .0404301
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull = .046{p_end}

{txt}       F(  1,   186) ={res}    0.85
{txt}{col 13}Prob > F ={res}    0.3587

{p 0 7}{space 1}{text:( 1)}{space 1} treatfull = -.046{p_end}

{txt}       F(  1,   186) ={res}   19.45
{txt}{col 13}Prob > F ={res}    0.0000
{txt}note: b_treatqual_z_d omitted because of collinearity
{res}
{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}     7,288
{txt}{col 49}F({res}   8{txt},{res}    186{txt}){col 67}= {res}      6.45
{txt}{col 49}Prob > F{col 67}= {res}    0.0000
{txt}{col 49}R-squared{col 67}= {res}    0.0978
{txt}{col 49}Adj R-squared{col 67}= {res}    0.0950
{txt}{col 49}Root MSE{col 67}= {res}    0.3521

{txt}{ralign 78:(Std. Err. adjusted for {res:187} clusters in hc_id)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}e_treatq~l_z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2} .0702541{col 26}{space 2} .0263569{col 37}{space 1}    2.67{col 46}{space 3}0.008{col 54}{space 4} .0182572{col 67}{space 3}  .122251
{txt}b_treatq~l_z {c |}{col 14}{res}{space 2} .0975202{col 26}{space 2} .0201453{col 37}{space 1}    4.84{col 46}{space 3}0.000{col 54}{space 4} .0577777{col 67}{space 3} .1372628
{txt}b_trea~l_z_d {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 1}c_tfull_hc2 {c |}{col 14}{res}{space 2}-.0364872{col 26}{space 2} .0302334{col 37}{space 1}   -1.21{col 46}{space 3}0.229{col 54}{space 4}-.0961317{col 67}{space 3} .0231573
{txt}c_tfull_b_~l {c |}{col 14}{res}{space 2} .0347704{col 26}{space 2} .0357458{col 37}{space 1}    0.97{col 46}{space 3}0.332{col 54}{space 4}-.0357489{col 67}{space 3} .1052897
{txt}c_tfull_b_~s {c |}{col 14}{res}{space 2} .0245656{col 26}{space 2}  .041264{col 37}{space 1}    0.60{col 46}{space 3}0.552{col 54}{space 4}-.0568401{col 67}{space 3} .1059713
{txt}c_tfull_b_~d {c |}{col 14}{res}{space 2} .0272133{col 26}{space 2} .0158992{col 37}{space 1}    1.71{col 46}{space 3}0.089{col 54}{space 4}-.0041525{col 67}{space 3} .0585792
{txt}c_tfull_ed~r {c |}{col 14}{res}{space 2}-.0016339{col 26}{space 2} .0011181{col 37}{space 1}   -1.46{col 46}{space 3}0.146{col 54}{space 4}-.0038397{col 67}{space 3} .0005718
{txt}c_tfull_b_~x {c |}{col 14}{res}{space 2}-.0095979{col 26}{space 2} .0053077{col 37}{space 1}   -1.81{col 46}{space 3}0.072{col 54}{space 4} -.020069{col 67}{space 3} .0008732
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} .0005086{col 26}{space 2}  .020236{col 37}{space 1}    0.03{col 46}{space 3}0.980{col 54}{space 4}-.0394129{col 67}{space 3} .0404301
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull = .047{p_end}

{txt}       F(  1,   186) ={res}    0.78
{txt}{col 13}Prob > F ={res}    0.3788

{p 0 7}{space 1}{text:( 1)}{space 1} treatfull = -.047{p_end}

{txt}       F(  1,   186) ={res}   19.79
{txt}{col 13}Prob > F ={res}    0.0000
{txt}note: b_treatqual_z_d omitted because of collinearity
{res}
{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}     7,288
{txt}{col 49}F({res}   8{txt},{res}    186{txt}){col 67}= {res}      6.45
{txt}{col 49}Prob > F{col 67}= {res}    0.0000
{txt}{col 49}R-squared{col 67}= {res}    0.0978
{txt}{col 49}Adj R-squared{col 67}= {res}    0.0950
{txt}{col 49}Root MSE{col 67}= {res}    0.3521

{txt}{ralign 78:(Std. Err. adjusted for {res:187} clusters in hc_id)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}e_treatq~l_z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2} .0702541{col 26}{space 2} .0263569{col 37}{space 1}    2.67{col 46}{space 3}0.008{col 54}{space 4} .0182572{col 67}{space 3}  .122251
{txt}b_treatq~l_z {c |}{col 14}{res}{space 2} .0975202{col 26}{space 2} .0201453{col 37}{space 1}    4.84{col 46}{space 3}0.000{col 54}{space 4} .0577777{col 67}{space 3} .1372628
{txt}b_trea~l_z_d {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 1}c_tfull_hc2 {c |}{col 14}{res}{space 2}-.0364872{col 26}{space 2} .0302334{col 37}{space 1}   -1.21{col 46}{space 3}0.229{col 54}{space 4}-.0961317{col 67}{space 3} .0231573
{txt}c_tfull_b_~l {c |}{col 14}{res}{space 2} .0347704{col 26}{space 2} .0357458{col 37}{space 1}    0.97{col 46}{space 3}0.332{col 54}{space 4}-.0357489{col 67}{space 3} .1052897
{txt}c_tfull_b_~s {c |}{col 14}{res}{space 2} .0245656{col 26}{space 2}  .041264{col 37}{space 1}    0.60{col 46}{space 3}0.552{col 54}{space 4}-.0568401{col 67}{space 3} .1059713
{txt}c_tfull_b_~d {c |}{col 14}{res}{space 2} .0272133{col 26}{space 2} .0158992{col 37}{space 1}    1.71{col 46}{space 3}0.089{col 54}{space 4}-.0041525{col 67}{space 3} .0585792
{txt}c_tfull_ed~r {c |}{col 14}{res}{space 2}-.0016339{col 26}{space 2} .0011181{col 37}{space 1}   -1.46{col 46}{space 3}0.146{col 54}{space 4}-.0038397{col 67}{space 3} .0005718
{txt}c_tfull_b_~x {c |}{col 14}{res}{space 2}-.0095979{col 26}{space 2} .0053077{col 37}{space 1}   -1.81{col 46}{space 3}0.072{col 54}{space 4} -.020069{col 67}{space 3} .0008732
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} .0005086{col 26}{space 2}  .020236{col 37}{space 1}    0.03{col 46}{space 3}0.980{col 54}{space 4}-.0394129{col 67}{space 3} .0404301
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull = .048{p_end}

{txt}       F(  1,   186) ={res}    0.71
{txt}{col 13}Prob > F ={res}    0.3996

{p 0 7}{space 1}{text:( 1)}{space 1} treatfull = -.048{p_end}

{txt}       F(  1,   186) ={res}   20.13
{txt}{col 13}Prob > F ={res}    0.0000
{txt}note: b_treatqual_z_d omitted because of collinearity
{res}
{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}     7,288
{txt}{col 49}F({res}   8{txt},{res}    186{txt}){col 67}= {res}      6.45
{txt}{col 49}Prob > F{col 67}= {res}    0.0000
{txt}{col 49}R-squared{col 67}= {res}    0.0978
{txt}{col 49}Adj R-squared{col 67}= {res}    0.0950
{txt}{col 49}Root MSE{col 67}= {res}    0.3521

{txt}{ralign 78:(Std. Err. adjusted for {res:187} clusters in hc_id)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}e_treatq~l_z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2} .0702541{col 26}{space 2} .0263569{col 37}{space 1}    2.67{col 46}{space 3}0.008{col 54}{space 4} .0182572{col 67}{space 3}  .122251
{txt}b_treatq~l_z {c |}{col 14}{res}{space 2} .0975202{col 26}{space 2} .0201453{col 37}{space 1}    4.84{col 46}{space 3}0.000{col 54}{space 4} .0577777{col 67}{space 3} .1372628
{txt}b_trea~l_z_d {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 1}c_tfull_hc2 {c |}{col 14}{res}{space 2}-.0364872{col 26}{space 2} .0302334{col 37}{space 1}   -1.21{col 46}{space 3}0.229{col 54}{space 4}-.0961317{col 67}{space 3} .0231573
{txt}c_tfull_b_~l {c |}{col 14}{res}{space 2} .0347704{col 26}{space 2} .0357458{col 37}{space 1}    0.97{col 46}{space 3}0.332{col 54}{space 4}-.0357489{col 67}{space 3} .1052897
{txt}c_tfull_b_~s {c |}{col 14}{res}{space 2} .0245656{col 26}{space 2}  .041264{col 37}{space 1}    0.60{col 46}{space 3}0.552{col 54}{space 4}-.0568401{col 67}{space 3} .1059713
{txt}c_tfull_b_~d {c |}{col 14}{res}{space 2} .0272133{col 26}{space 2} .0158992{col 37}{space 1}    1.71{col 46}{space 3}0.089{col 54}{space 4}-.0041525{col 67}{space 3} .0585792
{txt}c_tfull_ed~r {c |}{col 14}{res}{space 2}-.0016339{col 26}{space 2} .0011181{col 37}{space 1}   -1.46{col 46}{space 3}0.146{col 54}{space 4}-.0038397{col 67}{space 3} .0005718
{txt}c_tfull_b_~x {c |}{col 14}{res}{space 2}-.0095979{col 26}{space 2} .0053077{col 37}{space 1}   -1.81{col 46}{space 3}0.072{col 54}{space 4} -.020069{col 67}{space 3} .0008732
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} .0005086{col 26}{space 2}  .020236{col 37}{space 1}    0.03{col 46}{space 3}0.980{col 54}{space 4}-.0394129{col 67}{space 3} .0404301
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull = .049{p_end}

{txt}       F(  1,   186) ={res}    0.65
{txt}{col 13}Prob > F ={res}    0.4210

{p 0 7}{space 1}{text:( 1)}{space 1} treatfull = -.049{p_end}

{txt}       F(  1,   186) ={res}   20.47
{txt}{col 13}Prob > F ={res}    0.0000
{txt}note: b_treatqual_z_d omitted because of collinearity
{res}
{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}     7,288
{txt}{col 49}F({res}   8{txt},{res}    186{txt}){col 67}= {res}      6.45
{txt}{col 49}Prob > F{col 67}= {res}    0.0000
{txt}{col 49}R-squared{col 67}= {res}    0.0978
{txt}{col 49}Adj R-squared{col 67}= {res}    0.0950
{txt}{col 49}Root MSE{col 67}= {res}    0.3521

{txt}{ralign 78:(Std. Err. adjusted for {res:187} clusters in hc_id)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}e_treatq~l_z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2} .0702541{col 26}{space 2} .0263569{col 37}{space 1}    2.67{col 46}{space 3}0.008{col 54}{space 4} .0182572{col 67}{space 3}  .122251
{txt}b_treatq~l_z {c |}{col 14}{res}{space 2} .0975202{col 26}{space 2} .0201453{col 37}{space 1}    4.84{col 46}{space 3}0.000{col 54}{space 4} .0577777{col 67}{space 3} .1372628
{txt}b_trea~l_z_d {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 1}c_tfull_hc2 {c |}{col 14}{res}{space 2}-.0364872{col 26}{space 2} .0302334{col 37}{space 1}   -1.21{col 46}{space 3}0.229{col 54}{space 4}-.0961317{col 67}{space 3} .0231573
{txt}c_tfull_b_~l {c |}{col 14}{res}{space 2} .0347704{col 26}{space 2} .0357458{col 37}{space 1}    0.97{col 46}{space 3}0.332{col 54}{space 4}-.0357489{col 67}{space 3} .1052897
{txt}c_tfull_b_~s {c |}{col 14}{res}{space 2} .0245656{col 26}{space 2}  .041264{col 37}{space 1}    0.60{col 46}{space 3}0.552{col 54}{space 4}-.0568401{col 67}{space 3} .1059713
{txt}c_tfull_b_~d {c |}{col 14}{res}{space 2} .0272133{col 26}{space 2} .0158992{col 37}{space 1}    1.71{col 46}{space 3}0.089{col 54}{space 4}-.0041525{col 67}{space 3} .0585792
{txt}c_tfull_ed~r {c |}{col 14}{res}{space 2}-.0016339{col 26}{space 2} .0011181{col 37}{space 1}   -1.46{col 46}{space 3}0.146{col 54}{space 4}-.0038397{col 67}{space 3} .0005718
{txt}c_tfull_b_~x {c |}{col 14}{res}{space 2}-.0095979{col 26}{space 2} .0053077{col 37}{space 1}   -1.81{col 46}{space 3}0.072{col 54}{space 4} -.020069{col 67}{space 3} .0008732
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} .0005086{col 26}{space 2}  .020236{col 37}{space 1}    0.03{col 46}{space 3}0.980{col 54}{space 4}-.0394129{col 67}{space 3} .0404301
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull = .05{p_end}

{txt}       F(  1,   186) ={res}    0.59
{txt}{col 13}Prob > F ={res}    0.4432

{p 0 7}{space 1}{text:( 1)}{space 1} treatfull = -.05{p_end}

{txt}       F(  1,   186) ={res}   20.82
{txt}{col 13}Prob > F ={res}    0.0000
{txt}note: b_treatqual_z_d omitted because of collinearity
{res}
{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}     7,288
{txt}{col 49}F({res}   8{txt},{res}    186{txt}){col 67}= {res}      6.45
{txt}{col 49}Prob > F{col 67}= {res}    0.0000
{txt}{col 49}R-squared{col 67}= {res}    0.0978
{txt}{col 49}Adj R-squared{col 67}= {res}    0.0950
{txt}{col 49}Root MSE{col 67}= {res}    0.3521

{txt}{ralign 78:(Std. Err. adjusted for {res:187} clusters in hc_id)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}e_treatq~l_z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2} .0702541{col 26}{space 2} .0263569{col 37}{space 1}    2.67{col 46}{space 3}0.008{col 54}{space 4} .0182572{col 67}{space 3}  .122251
{txt}b_treatq~l_z {c |}{col 14}{res}{space 2} .0975202{col 26}{space 2} .0201453{col 37}{space 1}    4.84{col 46}{space 3}0.000{col 54}{space 4} .0577777{col 67}{space 3} .1372628
{txt}b_trea~l_z_d {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 1}c_tfull_hc2 {c |}{col 14}{res}{space 2}-.0364872{col 26}{space 2} .0302334{col 37}{space 1}   -1.21{col 46}{space 3}0.229{col 54}{space 4}-.0961317{col 67}{space 3} .0231573
{txt}c_tfull_b_~l {c |}{col 14}{res}{space 2} .0347704{col 26}{space 2} .0357458{col 37}{space 1}    0.97{col 46}{space 3}0.332{col 54}{space 4}-.0357489{col 67}{space 3} .1052897
{txt}c_tfull_b_~s {c |}{col 14}{res}{space 2} .0245656{col 26}{space 2}  .041264{col 37}{space 1}    0.60{col 46}{space 3}0.552{col 54}{space 4}-.0568401{col 67}{space 3} .1059713
{txt}c_tfull_b_~d {c |}{col 14}{res}{space 2} .0272133{col 26}{space 2} .0158992{col 37}{space 1}    1.71{col 46}{space 3}0.089{col 54}{space 4}-.0041525{col 67}{space 3} .0585792
{txt}c_tfull_ed~r {c |}{col 14}{res}{space 2}-.0016339{col 26}{space 2} .0011181{col 37}{space 1}   -1.46{col 46}{space 3}0.146{col 54}{space 4}-.0038397{col 67}{space 3} .0005718
{txt}c_tfull_b_~x {c |}{col 14}{res}{space 2}-.0095979{col 26}{space 2} .0053077{col 37}{space 1}   -1.81{col 46}{space 3}0.072{col 54}{space 4} -.020069{col 67}{space 3} .0008732
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} .0005086{col 26}{space 2}  .020236{col 37}{space 1}    0.03{col 46}{space 3}0.980{col 54}{space 4}-.0394129{col 67}{space 3} .0404301
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull = .051{p_end}

{txt}       F(  1,   186) ={res}    0.53
{txt}{col 13}Prob > F ={res}    0.4660

{p 0 7}{space 1}{text:( 1)}{space 1} treatfull = -.051{p_end}

{txt}       F(  1,   186) ={res}   21.16
{txt}{col 13}Prob > F ={res}    0.0000
{txt}note: b_treatqual_z_d omitted because of collinearity
{res}
{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}     7,288
{txt}{col 49}F({res}   8{txt},{res}    186{txt}){col 67}= {res}      6.45
{txt}{col 49}Prob > F{col 67}= {res}    0.0000
{txt}{col 49}R-squared{col 67}= {res}    0.0978
{txt}{col 49}Adj R-squared{col 67}= {res}    0.0950
{txt}{col 49}Root MSE{col 67}= {res}    0.3521

{txt}{ralign 78:(Std. Err. adjusted for {res:187} clusters in hc_id)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}e_treatq~l_z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2} .0702541{col 26}{space 2} .0263569{col 37}{space 1}    2.67{col 46}{space 3}0.008{col 54}{space 4} .0182572{col 67}{space 3}  .122251
{txt}b_treatq~l_z {c |}{col 14}{res}{space 2} .0975202{col 26}{space 2} .0201453{col 37}{space 1}    4.84{col 46}{space 3}0.000{col 54}{space 4} .0577777{col 67}{space 3} .1372628
{txt}b_trea~l_z_d {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 1}c_tfull_hc2 {c |}{col 14}{res}{space 2}-.0364872{col 26}{space 2} .0302334{col 37}{space 1}   -1.21{col 46}{space 3}0.229{col 54}{space 4}-.0961317{col 67}{space 3} .0231573
{txt}c_tfull_b_~l {c |}{col 14}{res}{space 2} .0347704{col 26}{space 2} .0357458{col 37}{space 1}    0.97{col 46}{space 3}0.332{col 54}{space 4}-.0357489{col 67}{space 3} .1052897
{txt}c_tfull_b_~s {c |}{col 14}{res}{space 2} .0245656{col 26}{space 2}  .041264{col 37}{space 1}    0.60{col 46}{space 3}0.552{col 54}{space 4}-.0568401{col 67}{space 3} .1059713
{txt}c_tfull_b_~d {c |}{col 14}{res}{space 2} .0272133{col 26}{space 2} .0158992{col 37}{space 1}    1.71{col 46}{space 3}0.089{col 54}{space 4}-.0041525{col 67}{space 3} .0585792
{txt}c_tfull_ed~r {c |}{col 14}{res}{space 2}-.0016339{col 26}{space 2} .0011181{col 37}{space 1}   -1.46{col 46}{space 3}0.146{col 54}{space 4}-.0038397{col 67}{space 3} .0005718
{txt}c_tfull_b_~x {c |}{col 14}{res}{space 2}-.0095979{col 26}{space 2} .0053077{col 37}{space 1}   -1.81{col 46}{space 3}0.072{col 54}{space 4} -.020069{col 67}{space 3} .0008732
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} .0005086{col 26}{space 2}  .020236{col 37}{space 1}    0.03{col 46}{space 3}0.980{col 54}{space 4}-.0394129{col 67}{space 3} .0404301
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull = .052{p_end}

{txt}       F(  1,   186) ={res}    0.48
{txt}{col 13}Prob > F ={res}    0.4894

{p 0 7}{space 1}{text:( 1)}{space 1} treatfull = -.052{p_end}

{txt}       F(  1,   186) ={res}   21.51
{txt}{col 13}Prob > F ={res}    0.0000
{txt}note: b_treatqual_z_d omitted because of collinearity
{res}
{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}     7,288
{txt}{col 49}F({res}   8{txt},{res}    186{txt}){col 67}= {res}      6.45
{txt}{col 49}Prob > F{col 67}= {res}    0.0000
{txt}{col 49}R-squared{col 67}= {res}    0.0978
{txt}{col 49}Adj R-squared{col 67}= {res}    0.0950
{txt}{col 49}Root MSE{col 67}= {res}    0.3521

{txt}{ralign 78:(Std. Err. adjusted for {res:187} clusters in hc_id)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}e_treatq~l_z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2} .0702541{col 26}{space 2} .0263569{col 37}{space 1}    2.67{col 46}{space 3}0.008{col 54}{space 4} .0182572{col 67}{space 3}  .122251
{txt}b_treatq~l_z {c |}{col 14}{res}{space 2} .0975202{col 26}{space 2} .0201453{col 37}{space 1}    4.84{col 46}{space 3}0.000{col 54}{space 4} .0577777{col 67}{space 3} .1372628
{txt}b_trea~l_z_d {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 1}c_tfull_hc2 {c |}{col 14}{res}{space 2}-.0364872{col 26}{space 2} .0302334{col 37}{space 1}   -1.21{col 46}{space 3}0.229{col 54}{space 4}-.0961317{col 67}{space 3} .0231573
{txt}c_tfull_b_~l {c |}{col 14}{res}{space 2} .0347704{col 26}{space 2} .0357458{col 37}{space 1}    0.97{col 46}{space 3}0.332{col 54}{space 4}-.0357489{col 67}{space 3} .1052897
{txt}c_tfull_b_~s {c |}{col 14}{res}{space 2} .0245656{col 26}{space 2}  .041264{col 37}{space 1}    0.60{col 46}{space 3}0.552{col 54}{space 4}-.0568401{col 67}{space 3} .1059713
{txt}c_tfull_b_~d {c |}{col 14}{res}{space 2} .0272133{col 26}{space 2} .0158992{col 37}{space 1}    1.71{col 46}{space 3}0.089{col 54}{space 4}-.0041525{col 67}{space 3} .0585792
{txt}c_tfull_ed~r {c |}{col 14}{res}{space 2}-.0016339{col 26}{space 2} .0011181{col 37}{space 1}   -1.46{col 46}{space 3}0.146{col 54}{space 4}-.0038397{col 67}{space 3} .0005718
{txt}c_tfull_b_~x {c |}{col 14}{res}{space 2}-.0095979{col 26}{space 2} .0053077{col 37}{space 1}   -1.81{col 46}{space 3}0.072{col 54}{space 4} -.020069{col 67}{space 3} .0008732
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} .0005086{col 26}{space 2}  .020236{col 37}{space 1}    0.03{col 46}{space 3}0.980{col 54}{space 4}-.0394129{col 67}{space 3} .0404301
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull = .053{p_end}

{txt}       F(  1,   186) ={res}    0.43
{txt}{col 13}Prob > F ={res}    0.5135

{p 0 7}{space 1}{text:( 1)}{space 1} treatfull = -.053{p_end}

{txt}       F(  1,   186) ={res}   21.87
{txt}{col 13}Prob > F ={res}    0.0000
{txt}note: b_treatqual_z_d omitted because of collinearity
{res}
{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}     7,288
{txt}{col 49}F({res}   8{txt},{res}    186{txt}){col 67}= {res}      6.45
{txt}{col 49}Prob > F{col 67}= {res}    0.0000
{txt}{col 49}R-squared{col 67}= {res}    0.0978
{txt}{col 49}Adj R-squared{col 67}= {res}    0.0950
{txt}{col 49}Root MSE{col 67}= {res}    0.3521

{txt}{ralign 78:(Std. Err. adjusted for {res:187} clusters in hc_id)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}e_treatq~l_z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2} .0702541{col 26}{space 2} .0263569{col 37}{space 1}    2.67{col 46}{space 3}0.008{col 54}{space 4} .0182572{col 67}{space 3}  .122251
{txt}b_treatq~l_z {c |}{col 14}{res}{space 2} .0975202{col 26}{space 2} .0201453{col 37}{space 1}    4.84{col 46}{space 3}0.000{col 54}{space 4} .0577777{col 67}{space 3} .1372628
{txt}b_trea~l_z_d {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 1}c_tfull_hc2 {c |}{col 14}{res}{space 2}-.0364872{col 26}{space 2} .0302334{col 37}{space 1}   -1.21{col 46}{space 3}0.229{col 54}{space 4}-.0961317{col 67}{space 3} .0231573
{txt}c_tfull_b_~l {c |}{col 14}{res}{space 2} .0347704{col 26}{space 2} .0357458{col 37}{space 1}    0.97{col 46}{space 3}0.332{col 54}{space 4}-.0357489{col 67}{space 3} .1052897
{txt}c_tfull_b_~s {c |}{col 14}{res}{space 2} .0245656{col 26}{space 2}  .041264{col 37}{space 1}    0.60{col 46}{space 3}0.552{col 54}{space 4}-.0568401{col 67}{space 3} .1059713
{txt}c_tfull_b_~d {c |}{col 14}{res}{space 2} .0272133{col 26}{space 2} .0158992{col 37}{space 1}    1.71{col 46}{space 3}0.089{col 54}{space 4}-.0041525{col 67}{space 3} .0585792
{txt}c_tfull_ed~r {c |}{col 14}{res}{space 2}-.0016339{col 26}{space 2} .0011181{col 37}{space 1}   -1.46{col 46}{space 3}0.146{col 54}{space 4}-.0038397{col 67}{space 3} .0005718
{txt}c_tfull_b_~x {c |}{col 14}{res}{space 2}-.0095979{col 26}{space 2} .0053077{col 37}{space 1}   -1.81{col 46}{space 3}0.072{col 54}{space 4} -.020069{col 67}{space 3} .0008732
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} .0005086{col 26}{space 2}  .020236{col 37}{space 1}    0.03{col 46}{space 3}0.980{col 54}{space 4}-.0394129{col 67}{space 3} .0404301
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull = .054{p_end}

{txt}       F(  1,   186) ={res}    0.38
{txt}{col 13}Prob > F ={res}    0.5382

{p 0 7}{space 1}{text:( 1)}{space 1} treatfull = -.054{p_end}

{txt}       F(  1,   186) ={res}   22.22
{txt}{col 13}Prob > F ={res}    0.0000
{txt}note: b_treatqual_z_d omitted because of collinearity
{res}
{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}     7,288
{txt}{col 49}F({res}   8{txt},{res}    186{txt}){col 67}= {res}      6.45
{txt}{col 49}Prob > F{col 67}= {res}    0.0000
{txt}{col 49}R-squared{col 67}= {res}    0.0978
{txt}{col 49}Adj R-squared{col 67}= {res}    0.0950
{txt}{col 49}Root MSE{col 67}= {res}    0.3521

{txt}{ralign 78:(Std. Err. adjusted for {res:187} clusters in hc_id)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}e_treatq~l_z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2} .0702541{col 26}{space 2} .0263569{col 37}{space 1}    2.67{col 46}{space 3}0.008{col 54}{space 4} .0182572{col 67}{space 3}  .122251
{txt}b_treatq~l_z {c |}{col 14}{res}{space 2} .0975202{col 26}{space 2} .0201453{col 37}{space 1}    4.84{col 46}{space 3}0.000{col 54}{space 4} .0577777{col 67}{space 3} .1372628
{txt}b_trea~l_z_d {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 1}c_tfull_hc2 {c |}{col 14}{res}{space 2}-.0364872{col 26}{space 2} .0302334{col 37}{space 1}   -1.21{col 46}{space 3}0.229{col 54}{space 4}-.0961317{col 67}{space 3} .0231573
{txt}c_tfull_b_~l {c |}{col 14}{res}{space 2} .0347704{col 26}{space 2} .0357458{col 37}{space 1}    0.97{col 46}{space 3}0.332{col 54}{space 4}-.0357489{col 67}{space 3} .1052897
{txt}c_tfull_b_~s {c |}{col 14}{res}{space 2} .0245656{col 26}{space 2}  .041264{col 37}{space 1}    0.60{col 46}{space 3}0.552{col 54}{space 4}-.0568401{col 67}{space 3} .1059713
{txt}c_tfull_b_~d {c |}{col 14}{res}{space 2} .0272133{col 26}{space 2} .0158992{col 37}{space 1}    1.71{col 46}{space 3}0.089{col 54}{space 4}-.0041525{col 67}{space 3} .0585792
{txt}c_tfull_ed~r {c |}{col 14}{res}{space 2}-.0016339{col 26}{space 2} .0011181{col 37}{space 1}   -1.46{col 46}{space 3}0.146{col 54}{space 4}-.0038397{col 67}{space 3} .0005718
{txt}c_tfull_b_~x {c |}{col 14}{res}{space 2}-.0095979{col 26}{space 2} .0053077{col 37}{space 1}   -1.81{col 46}{space 3}0.072{col 54}{space 4} -.020069{col 67}{space 3} .0008732
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} .0005086{col 26}{space 2}  .020236{col 37}{space 1}    0.03{col 46}{space 3}0.980{col 54}{space 4}-.0394129{col 67}{space 3} .0404301
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull = .055{p_end}

{txt}       F(  1,   186) ={res}    0.33
{txt}{col 13}Prob > F ={res}    0.5635

{p 0 7}{space 1}{text:( 1)}{space 1} treatfull = -.055{p_end}

{txt}       F(  1,   186) ={res}   22.58
{txt}{col 13}Prob > F ={res}    0.0000
{txt}note: b_treatqual_z_d omitted because of collinearity
{res}
{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}     7,288
{txt}{col 49}F({res}   8{txt},{res}    186{txt}){col 67}= {res}      6.45
{txt}{col 49}Prob > F{col 67}= {res}    0.0000
{txt}{col 49}R-squared{col 67}= {res}    0.0978
{txt}{col 49}Adj R-squared{col 67}= {res}    0.0950
{txt}{col 49}Root MSE{col 67}= {res}    0.3521

{txt}{ralign 78:(Std. Err. adjusted for {res:187} clusters in hc_id)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}e_treatq~l_z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2} .0702541{col 26}{space 2} .0263569{col 37}{space 1}    2.67{col 46}{space 3}0.008{col 54}{space 4} .0182572{col 67}{space 3}  .122251
{txt}b_treatq~l_z {c |}{col 14}{res}{space 2} .0975202{col 26}{space 2} .0201453{col 37}{space 1}    4.84{col 46}{space 3}0.000{col 54}{space 4} .0577777{col 67}{space 3} .1372628
{txt}b_trea~l_z_d {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 1}c_tfull_hc2 {c |}{col 14}{res}{space 2}-.0364872{col 26}{space 2} .0302334{col 37}{space 1}   -1.21{col 46}{space 3}0.229{col 54}{space 4}-.0961317{col 67}{space 3} .0231573
{txt}c_tfull_b_~l {c |}{col 14}{res}{space 2} .0347704{col 26}{space 2} .0357458{col 37}{space 1}    0.97{col 46}{space 3}0.332{col 54}{space 4}-.0357489{col 67}{space 3} .1052897
{txt}c_tfull_b_~s {c |}{col 14}{res}{space 2} .0245656{col 26}{space 2}  .041264{col 37}{space 1}    0.60{col 46}{space 3}0.552{col 54}{space 4}-.0568401{col 67}{space 3} .1059713
{txt}c_tfull_b_~d {c |}{col 14}{res}{space 2} .0272133{col 26}{space 2} .0158992{col 37}{space 1}    1.71{col 46}{space 3}0.089{col 54}{space 4}-.0041525{col 67}{space 3} .0585792
{txt}c_tfull_ed~r {c |}{col 14}{res}{space 2}-.0016339{col 26}{space 2} .0011181{col 37}{space 1}   -1.46{col 46}{space 3}0.146{col 54}{space 4}-.0038397{col 67}{space 3} .0005718
{txt}c_tfull_b_~x {c |}{col 14}{res}{space 2}-.0095979{col 26}{space 2} .0053077{col 37}{space 1}   -1.81{col 46}{space 3}0.072{col 54}{space 4} -.020069{col 67}{space 3} .0008732
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} .0005086{col 26}{space 2}  .020236{col 37}{space 1}    0.03{col 46}{space 3}0.980{col 54}{space 4}-.0394129{col 67}{space 3} .0404301
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull = .056{p_end}

{txt}       F(  1,   186) ={res}    0.29
{txt}{col 13}Prob > F ={res}    0.5893

{p 0 7}{space 1}{text:( 1)}{space 1} treatfull = -.056{p_end}

{txt}       F(  1,   186) ={res}   22.95
{txt}{col 13}Prob > F ={res}    0.0000
{txt}note: b_treatqual_z_d omitted because of collinearity
{res}
{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}     7,288
{txt}{col 49}F({res}   8{txt},{res}    186{txt}){col 67}= {res}      6.45
{txt}{col 49}Prob > F{col 67}= {res}    0.0000
{txt}{col 49}R-squared{col 67}= {res}    0.0978
{txt}{col 49}Adj R-squared{col 67}= {res}    0.0950
{txt}{col 49}Root MSE{col 67}= {res}    0.3521

{txt}{ralign 78:(Std. Err. adjusted for {res:187} clusters in hc_id)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}e_treatq~l_z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2} .0702541{col 26}{space 2} .0263569{col 37}{space 1}    2.67{col 46}{space 3}0.008{col 54}{space 4} .0182572{col 67}{space 3}  .122251
{txt}b_treatq~l_z {c |}{col 14}{res}{space 2} .0975202{col 26}{space 2} .0201453{col 37}{space 1}    4.84{col 46}{space 3}0.000{col 54}{space 4} .0577777{col 67}{space 3} .1372628
{txt}b_trea~l_z_d {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 1}c_tfull_hc2 {c |}{col 14}{res}{space 2}-.0364872{col 26}{space 2} .0302334{col 37}{space 1}   -1.21{col 46}{space 3}0.229{col 54}{space 4}-.0961317{col 67}{space 3} .0231573
{txt}c_tfull_b_~l {c |}{col 14}{res}{space 2} .0347704{col 26}{space 2} .0357458{col 37}{space 1}    0.97{col 46}{space 3}0.332{col 54}{space 4}-.0357489{col 67}{space 3} .1052897
{txt}c_tfull_b_~s {c |}{col 14}{res}{space 2} .0245656{col 26}{space 2}  .041264{col 37}{space 1}    0.60{col 46}{space 3}0.552{col 54}{space 4}-.0568401{col 67}{space 3} .1059713
{txt}c_tfull_b_~d {c |}{col 14}{res}{space 2} .0272133{col 26}{space 2} .0158992{col 37}{space 1}    1.71{col 46}{space 3}0.089{col 54}{space 4}-.0041525{col 67}{space 3} .0585792
{txt}c_tfull_ed~r {c |}{col 14}{res}{space 2}-.0016339{col 26}{space 2} .0011181{col 37}{space 1}   -1.46{col 46}{space 3}0.146{col 54}{space 4}-.0038397{col 67}{space 3} .0005718
{txt}c_tfull_b_~x {c |}{col 14}{res}{space 2}-.0095979{col 26}{space 2} .0053077{col 37}{space 1}   -1.81{col 46}{space 3}0.072{col 54}{space 4} -.020069{col 67}{space 3} .0008732
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} .0005086{col 26}{space 2}  .020236{col 37}{space 1}    0.03{col 46}{space 3}0.980{col 54}{space 4}-.0394129{col 67}{space 3} .0404301
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull = .057{p_end}

{txt}       F(  1,   186) ={res}    0.25
{txt}{col 13}Prob > F ={res}    0.6157

{p 0 7}{space 1}{text:( 1)}{space 1} treatfull = -.057{p_end}

{txt}       F(  1,   186) ={res}   23.31
{txt}{col 13}Prob > F ={res}    0.0000
{txt}note: b_treatqual_z_d omitted because of collinearity
{res}
{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}     7,288
{txt}{col 49}F({res}   8{txt},{res}    186{txt}){col 67}= {res}      6.45
{txt}{col 49}Prob > F{col 67}= {res}    0.0000
{txt}{col 49}R-squared{col 67}= {res}    0.0978
{txt}{col 49}Adj R-squared{col 67}= {res}    0.0950
{txt}{col 49}Root MSE{col 67}= {res}    0.3521

{txt}{ralign 78:(Std. Err. adjusted for {res:187} clusters in hc_id)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}e_treatq~l_z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2} .0702541{col 26}{space 2} .0263569{col 37}{space 1}    2.67{col 46}{space 3}0.008{col 54}{space 4} .0182572{col 67}{space 3}  .122251
{txt}b_treatq~l_z {c |}{col 14}{res}{space 2} .0975202{col 26}{space 2} .0201453{col 37}{space 1}    4.84{col 46}{space 3}0.000{col 54}{space 4} .0577777{col 67}{space 3} .1372628
{txt}b_trea~l_z_d {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 1}c_tfull_hc2 {c |}{col 14}{res}{space 2}-.0364872{col 26}{space 2} .0302334{col 37}{space 1}   -1.21{col 46}{space 3}0.229{col 54}{space 4}-.0961317{col 67}{space 3} .0231573
{txt}c_tfull_b_~l {c |}{col 14}{res}{space 2} .0347704{col 26}{space 2} .0357458{col 37}{space 1}    0.97{col 46}{space 3}0.332{col 54}{space 4}-.0357489{col 67}{space 3} .1052897
{txt}c_tfull_b_~s {c |}{col 14}{res}{space 2} .0245656{col 26}{space 2}  .041264{col 37}{space 1}    0.60{col 46}{space 3}0.552{col 54}{space 4}-.0568401{col 67}{space 3} .1059713
{txt}c_tfull_b_~d {c |}{col 14}{res}{space 2} .0272133{col 26}{space 2} .0158992{col 37}{space 1}    1.71{col 46}{space 3}0.089{col 54}{space 4}-.0041525{col 67}{space 3} .0585792
{txt}c_tfull_ed~r {c |}{col 14}{res}{space 2}-.0016339{col 26}{space 2} .0011181{col 37}{space 1}   -1.46{col 46}{space 3}0.146{col 54}{space 4}-.0038397{col 67}{space 3} .0005718
{txt}c_tfull_b_~x {c |}{col 14}{res}{space 2}-.0095979{col 26}{space 2} .0053077{col 37}{space 1}   -1.81{col 46}{space 3}0.072{col 54}{space 4} -.020069{col 67}{space 3} .0008732
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} .0005086{col 26}{space 2}  .020236{col 37}{space 1}    0.03{col 46}{space 3}0.980{col 54}{space 4}-.0394129{col 67}{space 3} .0404301
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull = .058{p_end}

{txt}       F(  1,   186) ={res}    0.22
{txt}{col 13}Prob > F ={res}    0.6425

{p 0 7}{space 1}{text:( 1)}{space 1} treatfull = -.058{p_end}

{txt}       F(  1,   186) ={res}   23.68
{txt}{col 13}Prob > F ={res}    0.0000
{txt}note: b_treatqual_z_d omitted because of collinearity
{res}
{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}     7,288
{txt}{col 49}F({res}   8{txt},{res}    186{txt}){col 67}= {res}      6.45
{txt}{col 49}Prob > F{col 67}= {res}    0.0000
{txt}{col 49}R-squared{col 67}= {res}    0.0978
{txt}{col 49}Adj R-squared{col 67}= {res}    0.0950
{txt}{col 49}Root MSE{col 67}= {res}    0.3521

{txt}{ralign 78:(Std. Err. adjusted for {res:187} clusters in hc_id)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}e_treatq~l_z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2} .0702541{col 26}{space 2} .0263569{col 37}{space 1}    2.67{col 46}{space 3}0.008{col 54}{space 4} .0182572{col 67}{space 3}  .122251
{txt}b_treatq~l_z {c |}{col 14}{res}{space 2} .0975202{col 26}{space 2} .0201453{col 37}{space 1}    4.84{col 46}{space 3}0.000{col 54}{space 4} .0577777{col 67}{space 3} .1372628
{txt}b_trea~l_z_d {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 1}c_tfull_hc2 {c |}{col 14}{res}{space 2}-.0364872{col 26}{space 2} .0302334{col 37}{space 1}   -1.21{col 46}{space 3}0.229{col 54}{space 4}-.0961317{col 67}{space 3} .0231573
{txt}c_tfull_b_~l {c |}{col 14}{res}{space 2} .0347704{col 26}{space 2} .0357458{col 37}{space 1}    0.97{col 46}{space 3}0.332{col 54}{space 4}-.0357489{col 67}{space 3} .1052897
{txt}c_tfull_b_~s {c |}{col 14}{res}{space 2} .0245656{col 26}{space 2}  .041264{col 37}{space 1}    0.60{col 46}{space 3}0.552{col 54}{space 4}-.0568401{col 67}{space 3} .1059713
{txt}c_tfull_b_~d {c |}{col 14}{res}{space 2} .0272133{col 26}{space 2} .0158992{col 37}{space 1}    1.71{col 46}{space 3}0.089{col 54}{space 4}-.0041525{col 67}{space 3} .0585792
{txt}c_tfull_ed~r {c |}{col 14}{res}{space 2}-.0016339{col 26}{space 2} .0011181{col 37}{space 1}   -1.46{col 46}{space 3}0.146{col 54}{space 4}-.0038397{col 67}{space 3} .0005718
{txt}c_tfull_b_~x {c |}{col 14}{res}{space 2}-.0095979{col 26}{space 2} .0053077{col 37}{space 1}   -1.81{col 46}{space 3}0.072{col 54}{space 4} -.020069{col 67}{space 3} .0008732
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} .0005086{col 26}{space 2}  .020236{col 37}{space 1}    0.03{col 46}{space 3}0.980{col 54}{space 4}-.0394129{col 67}{space 3} .0404301
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull = .059{p_end}

{txt}       F(  1,   186) ={res}    0.18
{txt}{col 13}Prob > F ={res}    0.6699

{p 0 7}{space 1}{text:( 1)}{space 1} treatfull = -.059{p_end}

{txt}       F(  1,   186) ={res}   24.05
{txt}{col 13}Prob > F ={res}    0.0000
{txt}note: b_treatqual_z_d omitted because of collinearity
{res}
{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}     7,288
{txt}{col 49}F({res}   8{txt},{res}    186{txt}){col 67}= {res}      6.45
{txt}{col 49}Prob > F{col 67}= {res}    0.0000
{txt}{col 49}R-squared{col 67}= {res}    0.0978
{txt}{col 49}Adj R-squared{col 67}= {res}    0.0950
{txt}{col 49}Root MSE{col 67}= {res}    0.3521

{txt}{ralign 78:(Std. Err. adjusted for {res:187} clusters in hc_id)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}e_treatq~l_z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2} .0702541{col 26}{space 2} .0263569{col 37}{space 1}    2.67{col 46}{space 3}0.008{col 54}{space 4} .0182572{col 67}{space 3}  .122251
{txt}b_treatq~l_z {c |}{col 14}{res}{space 2} .0975202{col 26}{space 2} .0201453{col 37}{space 1}    4.84{col 46}{space 3}0.000{col 54}{space 4} .0577777{col 67}{space 3} .1372628
{txt}b_trea~l_z_d {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 1}c_tfull_hc2 {c |}{col 14}{res}{space 2}-.0364872{col 26}{space 2} .0302334{col 37}{space 1}   -1.21{col 46}{space 3}0.229{col 54}{space 4}-.0961317{col 67}{space 3} .0231573
{txt}c_tfull_b_~l {c |}{col 14}{res}{space 2} .0347704{col 26}{space 2} .0357458{col 37}{space 1}    0.97{col 46}{space 3}0.332{col 54}{space 4}-.0357489{col 67}{space 3} .1052897
{txt}c_tfull_b_~s {c |}{col 14}{res}{space 2} .0245656{col 26}{space 2}  .041264{col 37}{space 1}    0.60{col 46}{space 3}0.552{col 54}{space 4}-.0568401{col 67}{space 3} .1059713
{txt}c_tfull_b_~d {c |}{col 14}{res}{space 2} .0272133{col 26}{space 2} .0158992{col 37}{space 1}    1.71{col 46}{space 3}0.089{col 54}{space 4}-.0041525{col 67}{space 3} .0585792
{txt}c_tfull_ed~r {c |}{col 14}{res}{space 2}-.0016339{col 26}{space 2} .0011181{col 37}{space 1}   -1.46{col 46}{space 3}0.146{col 54}{space 4}-.0038397{col 67}{space 3} .0005718
{txt}c_tfull_b_~x {c |}{col 14}{res}{space 2}-.0095979{col 26}{space 2} .0053077{col 37}{space 1}   -1.81{col 46}{space 3}0.072{col 54}{space 4} -.020069{col 67}{space 3} .0008732
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} .0005086{col 26}{space 2}  .020236{col 37}{space 1}    0.03{col 46}{space 3}0.980{col 54}{space 4}-.0394129{col 67}{space 3} .0404301
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull = .06{p_end}

{txt}       F(  1,   186) ={res}    0.15
{txt}{col 13}Prob > F ={res}    0.6977

{p 0 7}{space 1}{text:( 1)}{space 1} treatfull = -.06{p_end}

{txt}       F(  1,   186) ={res}   24.42
{txt}{col 13}Prob > F ={res}    0.0000
{txt}note: b_treatqual_z_d omitted because of collinearity
{res}
{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}     7,288
{txt}{col 49}F({res}   8{txt},{res}    186{txt}){col 67}= {res}      6.45
{txt}{col 49}Prob > F{col 67}= {res}    0.0000
{txt}{col 49}R-squared{col 67}= {res}    0.0978
{txt}{col 49}Adj R-squared{col 67}= {res}    0.0950
{txt}{col 49}Root MSE{col 67}= {res}    0.3521

{txt}{ralign 78:(Std. Err. adjusted for {res:187} clusters in hc_id)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}e_treatq~l_z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2} .0702541{col 26}{space 2} .0263569{col 37}{space 1}    2.67{col 46}{space 3}0.008{col 54}{space 4} .0182572{col 67}{space 3}  .122251
{txt}b_treatq~l_z {c |}{col 14}{res}{space 2} .0975202{col 26}{space 2} .0201453{col 37}{space 1}    4.84{col 46}{space 3}0.000{col 54}{space 4} .0577777{col 67}{space 3} .1372628
{txt}b_trea~l_z_d {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 1}c_tfull_hc2 {c |}{col 14}{res}{space 2}-.0364872{col 26}{space 2} .0302334{col 37}{space 1}   -1.21{col 46}{space 3}0.229{col 54}{space 4}-.0961317{col 67}{space 3} .0231573
{txt}c_tfull_b_~l {c |}{col 14}{res}{space 2} .0347704{col 26}{space 2} .0357458{col 37}{space 1}    0.97{col 46}{space 3}0.332{col 54}{space 4}-.0357489{col 67}{space 3} .1052897
{txt}c_tfull_b_~s {c |}{col 14}{res}{space 2} .0245656{col 26}{space 2}  .041264{col 37}{space 1}    0.60{col 46}{space 3}0.552{col 54}{space 4}-.0568401{col 67}{space 3} .1059713
{txt}c_tfull_b_~d {c |}{col 14}{res}{space 2} .0272133{col 26}{space 2} .0158992{col 37}{space 1}    1.71{col 46}{space 3}0.089{col 54}{space 4}-.0041525{col 67}{space 3} .0585792
{txt}c_tfull_ed~r {c |}{col 14}{res}{space 2}-.0016339{col 26}{space 2} .0011181{col 37}{space 1}   -1.46{col 46}{space 3}0.146{col 54}{space 4}-.0038397{col 67}{space 3} .0005718
{txt}c_tfull_b_~x {c |}{col 14}{res}{space 2}-.0095979{col 26}{space 2} .0053077{col 37}{space 1}   -1.81{col 46}{space 3}0.072{col 54}{space 4} -.020069{col 67}{space 3} .0008732
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} .0005086{col 26}{space 2}  .020236{col 37}{space 1}    0.03{col 46}{space 3}0.980{col 54}{space 4}-.0394129{col 67}{space 3} .0404301
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull = .061{p_end}

{txt}       F(  1,   186) ={res}    0.12
{txt}{col 13}Prob > F ={res}    0.7259

{p 0 7}{space 1}{text:( 1)}{space 1} treatfull = -.061{p_end}

{txt}       F(  1,   186) ={res}   24.80
{txt}{col 13}Prob > F ={res}    0.0000
{txt}note: b_treatqual_z_d omitted because of collinearity
{res}
{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}     7,288
{txt}{col 49}F({res}   8{txt},{res}    186{txt}){col 67}= {res}      6.45
{txt}{col 49}Prob > F{col 67}= {res}    0.0000
{txt}{col 49}R-squared{col 67}= {res}    0.0978
{txt}{col 49}Adj R-squared{col 67}= {res}    0.0950
{txt}{col 49}Root MSE{col 67}= {res}    0.3521

{txt}{ralign 78:(Std. Err. adjusted for {res:187} clusters in hc_id)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}e_treatq~l_z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2} .0702541{col 26}{space 2} .0263569{col 37}{space 1}    2.67{col 46}{space 3}0.008{col 54}{space 4} .0182572{col 67}{space 3}  .122251
{txt}b_treatq~l_z {c |}{col 14}{res}{space 2} .0975202{col 26}{space 2} .0201453{col 37}{space 1}    4.84{col 46}{space 3}0.000{col 54}{space 4} .0577777{col 67}{space 3} .1372628
{txt}b_trea~l_z_d {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 1}c_tfull_hc2 {c |}{col 14}{res}{space 2}-.0364872{col 26}{space 2} .0302334{col 37}{space 1}   -1.21{col 46}{space 3}0.229{col 54}{space 4}-.0961317{col 67}{space 3} .0231573
{txt}c_tfull_b_~l {c |}{col 14}{res}{space 2} .0347704{col 26}{space 2} .0357458{col 37}{space 1}    0.97{col 46}{space 3}0.332{col 54}{space 4}-.0357489{col 67}{space 3} .1052897
{txt}c_tfull_b_~s {c |}{col 14}{res}{space 2} .0245656{col 26}{space 2}  .041264{col 37}{space 1}    0.60{col 46}{space 3}0.552{col 54}{space 4}-.0568401{col 67}{space 3} .1059713
{txt}c_tfull_b_~d {c |}{col 14}{res}{space 2} .0272133{col 26}{space 2} .0158992{col 37}{space 1}    1.71{col 46}{space 3}0.089{col 54}{space 4}-.0041525{col 67}{space 3} .0585792
{txt}c_tfull_ed~r {c |}{col 14}{res}{space 2}-.0016339{col 26}{space 2} .0011181{col 37}{space 1}   -1.46{col 46}{space 3}0.146{col 54}{space 4}-.0038397{col 67}{space 3} .0005718
{txt}c_tfull_b_~x {c |}{col 14}{res}{space 2}-.0095979{col 26}{space 2} .0053077{col 37}{space 1}   -1.81{col 46}{space 3}0.072{col 54}{space 4} -.020069{col 67}{space 3} .0008732
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} .0005086{col 26}{space 2}  .020236{col 37}{space 1}    0.03{col 46}{space 3}0.980{col 54}{space 4}-.0394129{col 67}{space 3} .0404301
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull = .062{p_end}

{txt}       F(  1,   186) ={res}    0.10
{txt}{col 13}Prob > F ={res}    0.7545

{p 0 7}{space 1}{text:( 1)}{space 1} treatfull = -.062{p_end}

{txt}       F(  1,   186) ={res}   25.18
{txt}{col 13}Prob > F ={res}    0.0000
{txt}note: b_treatqual_z_d omitted because of collinearity
{res}
{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}     7,288
{txt}{col 49}F({res}   8{txt},{res}    186{txt}){col 67}= {res}      6.45
{txt}{col 49}Prob > F{col 67}= {res}    0.0000
{txt}{col 49}R-squared{col 67}= {res}    0.0978
{txt}{col 49}Adj R-squared{col 67}= {res}    0.0950
{txt}{col 49}Root MSE{col 67}= {res}    0.3521

{txt}{ralign 78:(Std. Err. adjusted for {res:187} clusters in hc_id)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}e_treatq~l_z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2} .0702541{col 26}{space 2} .0263569{col 37}{space 1}    2.67{col 46}{space 3}0.008{col 54}{space 4} .0182572{col 67}{space 3}  .122251
{txt}b_treatq~l_z {c |}{col 14}{res}{space 2} .0975202{col 26}{space 2} .0201453{col 37}{space 1}    4.84{col 46}{space 3}0.000{col 54}{space 4} .0577777{col 67}{space 3} .1372628
{txt}b_trea~l_z_d {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 1}c_tfull_hc2 {c |}{col 14}{res}{space 2}-.0364872{col 26}{space 2} .0302334{col 37}{space 1}   -1.21{col 46}{space 3}0.229{col 54}{space 4}-.0961317{col 67}{space 3} .0231573
{txt}c_tfull_b_~l {c |}{col 14}{res}{space 2} .0347704{col 26}{space 2} .0357458{col 37}{space 1}    0.97{col 46}{space 3}0.332{col 54}{space 4}-.0357489{col 67}{space 3} .1052897
{txt}c_tfull_b_~s {c |}{col 14}{res}{space 2} .0245656{col 26}{space 2}  .041264{col 37}{space 1}    0.60{col 46}{space 3}0.552{col 54}{space 4}-.0568401{col 67}{space 3} .1059713
{txt}c_tfull_b_~d {c |}{col 14}{res}{space 2} .0272133{col 26}{space 2} .0158992{col 37}{space 1}    1.71{col 46}{space 3}0.089{col 54}{space 4}-.0041525{col 67}{space 3} .0585792
{txt}c_tfull_ed~r {c |}{col 14}{res}{space 2}-.0016339{col 26}{space 2} .0011181{col 37}{space 1}   -1.46{col 46}{space 3}0.146{col 54}{space 4}-.0038397{col 67}{space 3} .0005718
{txt}c_tfull_b_~x {c |}{col 14}{res}{space 2}-.0095979{col 26}{space 2} .0053077{col 37}{space 1}   -1.81{col 46}{space 3}0.072{col 54}{space 4} -.020069{col 67}{space 3} .0008732
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} .0005086{col 26}{space 2}  .020236{col 37}{space 1}    0.03{col 46}{space 3}0.980{col 54}{space 4}-.0394129{col 67}{space 3} .0404301
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull = .063{p_end}

{txt}       F(  1,   186) ={res}    0.08
{txt}{col 13}Prob > F ={res}    0.7834

{p 0 7}{space 1}{text:( 1)}{space 1} treatfull = -.063{p_end}

{txt}       F(  1,   186) ={res}   25.56
{txt}{col 13}Prob > F ={res}    0.0000
{txt}note: b_treatqual_z_d omitted because of collinearity
{res}
{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}     7,288
{txt}{col 49}F({res}   8{txt},{res}    186{txt}){col 67}= {res}      6.45
{txt}{col 49}Prob > F{col 67}= {res}    0.0000
{txt}{col 49}R-squared{col 67}= {res}    0.0978
{txt}{col 49}Adj R-squared{col 67}= {res}    0.0950
{txt}{col 49}Root MSE{col 67}= {res}    0.3521

{txt}{ralign 78:(Std. Err. adjusted for {res:187} clusters in hc_id)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}e_treatq~l_z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2} .0702541{col 26}{space 2} .0263569{col 37}{space 1}    2.67{col 46}{space 3}0.008{col 54}{space 4} .0182572{col 67}{space 3}  .122251
{txt}b_treatq~l_z {c |}{col 14}{res}{space 2} .0975202{col 26}{space 2} .0201453{col 37}{space 1}    4.84{col 46}{space 3}0.000{col 54}{space 4} .0577777{col 67}{space 3} .1372628
{txt}b_trea~l_z_d {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 1}c_tfull_hc2 {c |}{col 14}{res}{space 2}-.0364872{col 26}{space 2} .0302334{col 37}{space 1}   -1.21{col 46}{space 3}0.229{col 54}{space 4}-.0961317{col 67}{space 3} .0231573
{txt}c_tfull_b_~l {c |}{col 14}{res}{space 2} .0347704{col 26}{space 2} .0357458{col 37}{space 1}    0.97{col 46}{space 3}0.332{col 54}{space 4}-.0357489{col 67}{space 3} .1052897
{txt}c_tfull_b_~s {c |}{col 14}{res}{space 2} .0245656{col 26}{space 2}  .041264{col 37}{space 1}    0.60{col 46}{space 3}0.552{col 54}{space 4}-.0568401{col 67}{space 3} .1059713
{txt}c_tfull_b_~d {c |}{col 14}{res}{space 2} .0272133{col 26}{space 2} .0158992{col 37}{space 1}    1.71{col 46}{space 3}0.089{col 54}{space 4}-.0041525{col 67}{space 3} .0585792
{txt}c_tfull_ed~r {c |}{col 14}{res}{space 2}-.0016339{col 26}{space 2} .0011181{col 37}{space 1}   -1.46{col 46}{space 3}0.146{col 54}{space 4}-.0038397{col 67}{space 3} .0005718
{txt}c_tfull_b_~x {c |}{col 14}{res}{space 2}-.0095979{col 26}{space 2} .0053077{col 37}{space 1}   -1.81{col 46}{space 3}0.072{col 54}{space 4} -.020069{col 67}{space 3} .0008732
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} .0005086{col 26}{space 2}  .020236{col 37}{space 1}    0.03{col 46}{space 3}0.980{col 54}{space 4}-.0394129{col 67}{space 3} .0404301
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull = .064{p_end}

{txt}       F(  1,   186) ={res}    0.06
{txt}{col 13}Prob > F ={res}    0.8127

{p 0 7}{space 1}{text:( 1)}{space 1} treatfull = -.064{p_end}

{txt}       F(  1,   186) ={res}   25.95
{txt}{col 13}Prob > F ={res}    0.0000
{txt}note: b_treatqual_z_d omitted because of collinearity
{res}
{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}     7,288
{txt}{col 49}F({res}   8{txt},{res}    186{txt}){col 67}= {res}      6.45
{txt}{col 49}Prob > F{col 67}= {res}    0.0000
{txt}{col 49}R-squared{col 67}= {res}    0.0978
{txt}{col 49}Adj R-squared{col 67}= {res}    0.0950
{txt}{col 49}Root MSE{col 67}= {res}    0.3521

{txt}{ralign 78:(Std. Err. adjusted for {res:187} clusters in hc_id)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}e_treatq~l_z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2} .0702541{col 26}{space 2} .0263569{col 37}{space 1}    2.67{col 46}{space 3}0.008{col 54}{space 4} .0182572{col 67}{space 3}  .122251
{txt}b_treatq~l_z {c |}{col 14}{res}{space 2} .0975202{col 26}{space 2} .0201453{col 37}{space 1}    4.84{col 46}{space 3}0.000{col 54}{space 4} .0577777{col 67}{space 3} .1372628
{txt}b_trea~l_z_d {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 1}c_tfull_hc2 {c |}{col 14}{res}{space 2}-.0364872{col 26}{space 2} .0302334{col 37}{space 1}   -1.21{col 46}{space 3}0.229{col 54}{space 4}-.0961317{col 67}{space 3} .0231573
{txt}c_tfull_b_~l {c |}{col 14}{res}{space 2} .0347704{col 26}{space 2} .0357458{col 37}{space 1}    0.97{col 46}{space 3}0.332{col 54}{space 4}-.0357489{col 67}{space 3} .1052897
{txt}c_tfull_b_~s {c |}{col 14}{res}{space 2} .0245656{col 26}{space 2}  .041264{col 37}{space 1}    0.60{col 46}{space 3}0.552{col 54}{space 4}-.0568401{col 67}{space 3} .1059713
{txt}c_tfull_b_~d {c |}{col 14}{res}{space 2} .0272133{col 26}{space 2} .0158992{col 37}{space 1}    1.71{col 46}{space 3}0.089{col 54}{space 4}-.0041525{col 67}{space 3} .0585792
{txt}c_tfull_ed~r {c |}{col 14}{res}{space 2}-.0016339{col 26}{space 2} .0011181{col 37}{space 1}   -1.46{col 46}{space 3}0.146{col 54}{space 4}-.0038397{col 67}{space 3} .0005718
{txt}c_tfull_b_~x {c |}{col 14}{res}{space 2}-.0095979{col 26}{space 2} .0053077{col 37}{space 1}   -1.81{col 46}{space 3}0.072{col 54}{space 4} -.020069{col 67}{space 3} .0008732
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} .0005086{col 26}{space 2}  .020236{col 37}{space 1}    0.03{col 46}{space 3}0.980{col 54}{space 4}-.0394129{col 67}{space 3} .0404301
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull = .065{p_end}

{txt}       F(  1,   186) ={res}    0.04
{txt}{col 13}Prob > F ={res}    0.8422

{p 0 7}{space 1}{text:( 1)}{space 1} treatfull = -.065{p_end}

{txt}       F(  1,   186) ={res}   26.33
{txt}{col 13}Prob > F ={res}    0.0000
{txt}note: b_treatqual_z_d omitted because of collinearity
{res}
{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}     7,288
{txt}{col 49}F({res}   8{txt},{res}    186{txt}){col 67}= {res}      6.45
{txt}{col 49}Prob > F{col 67}= {res}    0.0000
{txt}{col 49}R-squared{col 67}= {res}    0.0978
{txt}{col 49}Adj R-squared{col 67}= {res}    0.0950
{txt}{col 49}Root MSE{col 67}= {res}    0.3521

{txt}{ralign 78:(Std. Err. adjusted for {res:187} clusters in hc_id)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}e_treatq~l_z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2} .0702541{col 26}{space 2} .0263569{col 37}{space 1}    2.67{col 46}{space 3}0.008{col 54}{space 4} .0182572{col 67}{space 3}  .122251
{txt}b_treatq~l_z {c |}{col 14}{res}{space 2} .0975202{col 26}{space 2} .0201453{col 37}{space 1}    4.84{col 46}{space 3}0.000{col 54}{space 4} .0577777{col 67}{space 3} .1372628
{txt}b_trea~l_z_d {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 1}c_tfull_hc2 {c |}{col 14}{res}{space 2}-.0364872{col 26}{space 2} .0302334{col 37}{space 1}   -1.21{col 46}{space 3}0.229{col 54}{space 4}-.0961317{col 67}{space 3} .0231573
{txt}c_tfull_b_~l {c |}{col 14}{res}{space 2} .0347704{col 26}{space 2} .0357458{col 37}{space 1}    0.97{col 46}{space 3}0.332{col 54}{space 4}-.0357489{col 67}{space 3} .1052897
{txt}c_tfull_b_~s {c |}{col 14}{res}{space 2} .0245656{col 26}{space 2}  .041264{col 37}{space 1}    0.60{col 46}{space 3}0.552{col 54}{space 4}-.0568401{col 67}{space 3} .1059713
{txt}c_tfull_b_~d {c |}{col 14}{res}{space 2} .0272133{col 26}{space 2} .0158992{col 37}{space 1}    1.71{col 46}{space 3}0.089{col 54}{space 4}-.0041525{col 67}{space 3} .0585792
{txt}c_tfull_ed~r {c |}{col 14}{res}{space 2}-.0016339{col 26}{space 2} .0011181{col 37}{space 1}   -1.46{col 46}{space 3}0.146{col 54}{space 4}-.0038397{col 67}{space 3} .0005718
{txt}c_tfull_b_~x {c |}{col 14}{res}{space 2}-.0095979{col 26}{space 2} .0053077{col 37}{space 1}   -1.81{col 46}{space 3}0.072{col 54}{space 4} -.020069{col 67}{space 3} .0008732
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} .0005086{col 26}{space 2}  .020236{col 37}{space 1}    0.03{col 46}{space 3}0.980{col 54}{space 4}-.0394129{col 67}{space 3} .0404301
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull = .066{p_end}

{txt}       F(  1,   186) ={res}    0.03
{txt}{col 13}Prob > F ={res}    0.8720

{p 0 7}{space 1}{text:( 1)}{space 1} treatfull = -.066{p_end}

{txt}       F(  1,   186) ={res}   26.72
{txt}{col 13}Prob > F ={res}    0.0000
{txt}note: b_treatqual_z_d omitted because of collinearity
{res}
{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}     7,288
{txt}{col 49}F({res}   8{txt},{res}    186{txt}){col 67}= {res}      6.45
{txt}{col 49}Prob > F{col 67}= {res}    0.0000
{txt}{col 49}R-squared{col 67}= {res}    0.0978
{txt}{col 49}Adj R-squared{col 67}= {res}    0.0950
{txt}{col 49}Root MSE{col 67}= {res}    0.3521

{txt}{ralign 78:(Std. Err. adjusted for {res:187} clusters in hc_id)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}e_treatq~l_z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2} .0702541{col 26}{space 2} .0263569{col 37}{space 1}    2.67{col 46}{space 3}0.008{col 54}{space 4} .0182572{col 67}{space 3}  .122251
{txt}b_treatq~l_z {c |}{col 14}{res}{space 2} .0975202{col 26}{space 2} .0201453{col 37}{space 1}    4.84{col 46}{space 3}0.000{col 54}{space 4} .0577777{col 67}{space 3} .1372628
{txt}b_trea~l_z_d {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 1}c_tfull_hc2 {c |}{col 14}{res}{space 2}-.0364872{col 26}{space 2} .0302334{col 37}{space 1}   -1.21{col 46}{space 3}0.229{col 54}{space 4}-.0961317{col 67}{space 3} .0231573
{txt}c_tfull_b_~l {c |}{col 14}{res}{space 2} .0347704{col 26}{space 2} .0357458{col 37}{space 1}    0.97{col 46}{space 3}0.332{col 54}{space 4}-.0357489{col 67}{space 3} .1052897
{txt}c_tfull_b_~s {c |}{col 14}{res}{space 2} .0245656{col 26}{space 2}  .041264{col 37}{space 1}    0.60{col 46}{space 3}0.552{col 54}{space 4}-.0568401{col 67}{space 3} .1059713
{txt}c_tfull_b_~d {c |}{col 14}{res}{space 2} .0272133{col 26}{space 2} .0158992{col 37}{space 1}    1.71{col 46}{space 3}0.089{col 54}{space 4}-.0041525{col 67}{space 3} .0585792
{txt}c_tfull_ed~r {c |}{col 14}{res}{space 2}-.0016339{col 26}{space 2} .0011181{col 37}{space 1}   -1.46{col 46}{space 3}0.146{col 54}{space 4}-.0038397{col 67}{space 3} .0005718
{txt}c_tfull_b_~x {c |}{col 14}{res}{space 2}-.0095979{col 26}{space 2} .0053077{col 37}{space 1}   -1.81{col 46}{space 3}0.072{col 54}{space 4} -.020069{col 67}{space 3} .0008732
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} .0005086{col 26}{space 2}  .020236{col 37}{space 1}    0.03{col 46}{space 3}0.980{col 54}{space 4}-.0394129{col 67}{space 3} .0404301
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull = .067{p_end}

{txt}       F(  1,   186) ={res}    0.02
{txt}{col 13}Prob > F ={res}    0.9019

{p 0 7}{space 1}{text:( 1)}{space 1} treatfull = -.067{p_end}

{txt}       F(  1,   186) ={res}   27.12
{txt}{col 13}Prob > F ={res}    0.0000
{txt}note: b_treatqual_z_d omitted because of collinearity
{res}
{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}     7,288
{txt}{col 49}F({res}   8{txt},{res}    186{txt}){col 67}= {res}      6.45
{txt}{col 49}Prob > F{col 67}= {res}    0.0000
{txt}{col 49}R-squared{col 67}= {res}    0.0978
{txt}{col 49}Adj R-squared{col 67}= {res}    0.0950
{txt}{col 49}Root MSE{col 67}= {res}    0.3521

{txt}{ralign 78:(Std. Err. adjusted for {res:187} clusters in hc_id)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}e_treatq~l_z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2} .0702541{col 26}{space 2} .0263569{col 37}{space 1}    2.67{col 46}{space 3}0.008{col 54}{space 4} .0182572{col 67}{space 3}  .122251
{txt}b_treatq~l_z {c |}{col 14}{res}{space 2} .0975202{col 26}{space 2} .0201453{col 37}{space 1}    4.84{col 46}{space 3}0.000{col 54}{space 4} .0577777{col 67}{space 3} .1372628
{txt}b_trea~l_z_d {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 1}c_tfull_hc2 {c |}{col 14}{res}{space 2}-.0364872{col 26}{space 2} .0302334{col 37}{space 1}   -1.21{col 46}{space 3}0.229{col 54}{space 4}-.0961317{col 67}{space 3} .0231573
{txt}c_tfull_b_~l {c |}{col 14}{res}{space 2} .0347704{col 26}{space 2} .0357458{col 37}{space 1}    0.97{col 46}{space 3}0.332{col 54}{space 4}-.0357489{col 67}{space 3} .1052897
{txt}c_tfull_b_~s {c |}{col 14}{res}{space 2} .0245656{col 26}{space 2}  .041264{col 37}{space 1}    0.60{col 46}{space 3}0.552{col 54}{space 4}-.0568401{col 67}{space 3} .1059713
{txt}c_tfull_b_~d {c |}{col 14}{res}{space 2} .0272133{col 26}{space 2} .0158992{col 37}{space 1}    1.71{col 46}{space 3}0.089{col 54}{space 4}-.0041525{col 67}{space 3} .0585792
{txt}c_tfull_ed~r {c |}{col 14}{res}{space 2}-.0016339{col 26}{space 2} .0011181{col 37}{space 1}   -1.46{col 46}{space 3}0.146{col 54}{space 4}-.0038397{col 67}{space 3} .0005718
{txt}c_tfull_b_~x {c |}{col 14}{res}{space 2}-.0095979{col 26}{space 2} .0053077{col 37}{space 1}   -1.81{col 46}{space 3}0.072{col 54}{space 4} -.020069{col 67}{space 3} .0008732
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} .0005086{col 26}{space 2}  .020236{col 37}{space 1}    0.03{col 46}{space 3}0.980{col 54}{space 4}-.0394129{col 67}{space 3} .0404301
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull = .068{p_end}

{txt}       F(  1,   186) ={res}    0.01
{txt}{col 13}Prob > F ={res}    0.9319

{p 0 7}{space 1}{text:( 1)}{space 1} treatfull = -.068{p_end}

{txt}       F(  1,   186) ={res}   27.51
{txt}{col 13}Prob > F ={res}    0.0000
{txt}note: b_treatqual_z_d omitted because of collinearity
{res}
{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}     7,288
{txt}{col 49}F({res}   8{txt},{res}    186{txt}){col 67}= {res}      6.45
{txt}{col 49}Prob > F{col 67}= {res}    0.0000
{txt}{col 49}R-squared{col 67}= {res}    0.0978
{txt}{col 49}Adj R-squared{col 67}= {res}    0.0950
{txt}{col 49}Root MSE{col 67}= {res}    0.3521

{txt}{ralign 78:(Std. Err. adjusted for {res:187} clusters in hc_id)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}e_treatq~l_z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2} .0702541{col 26}{space 2} .0263569{col 37}{space 1}    2.67{col 46}{space 3}0.008{col 54}{space 4} .0182572{col 67}{space 3}  .122251
{txt}b_treatq~l_z {c |}{col 14}{res}{space 2} .0975202{col 26}{space 2} .0201453{col 37}{space 1}    4.84{col 46}{space 3}0.000{col 54}{space 4} .0577777{col 67}{space 3} .1372628
{txt}b_trea~l_z_d {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 1}c_tfull_hc2 {c |}{col 14}{res}{space 2}-.0364872{col 26}{space 2} .0302334{col 37}{space 1}   -1.21{col 46}{space 3}0.229{col 54}{space 4}-.0961317{col 67}{space 3} .0231573
{txt}c_tfull_b_~l {c |}{col 14}{res}{space 2} .0347704{col 26}{space 2} .0357458{col 37}{space 1}    0.97{col 46}{space 3}0.332{col 54}{space 4}-.0357489{col 67}{space 3} .1052897
{txt}c_tfull_b_~s {c |}{col 14}{res}{space 2} .0245656{col 26}{space 2}  .041264{col 37}{space 1}    0.60{col 46}{space 3}0.552{col 54}{space 4}-.0568401{col 67}{space 3} .1059713
{txt}c_tfull_b_~d {c |}{col 14}{res}{space 2} .0272133{col 26}{space 2} .0158992{col 37}{space 1}    1.71{col 46}{space 3}0.089{col 54}{space 4}-.0041525{col 67}{space 3} .0585792
{txt}c_tfull_ed~r {c |}{col 14}{res}{space 2}-.0016339{col 26}{space 2} .0011181{col 37}{space 1}   -1.46{col 46}{space 3}0.146{col 54}{space 4}-.0038397{col 67}{space 3} .0005718
{txt}c_tfull_b_~x {c |}{col 14}{res}{space 2}-.0095979{col 26}{space 2} .0053077{col 37}{space 1}   -1.81{col 46}{space 3}0.072{col 54}{space 4} -.020069{col 67}{space 3} .0008732
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} .0005086{col 26}{space 2}  .020236{col 37}{space 1}    0.03{col 46}{space 3}0.980{col 54}{space 4}-.0394129{col 67}{space 3} .0404301
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull = .069{p_end}

{txt}       F(  1,   186) ={res}    0.00
{txt}{col 13}Prob > F ={res}    0.9621

{p 0 7}{space 1}{text:( 1)}{space 1} treatfull = -.069{p_end}

{txt}       F(  1,   186) ={res}   27.91
{txt}{col 13}Prob > F ={res}    0.0000
{txt}note: b_treatqual_z_d omitted because of collinearity
{res}
{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}     7,288
{txt}{col 49}F({res}   8{txt},{res}    186{txt}){col 67}= {res}      6.45
{txt}{col 49}Prob > F{col 67}= {res}    0.0000
{txt}{col 49}R-squared{col 67}= {res}    0.0978
{txt}{col 49}Adj R-squared{col 67}= {res}    0.0950
{txt}{col 49}Root MSE{col 67}= {res}    0.3521

{txt}{ralign 78:(Std. Err. adjusted for {res:187} clusters in hc_id)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}e_treatq~l_z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2} .0702541{col 26}{space 2} .0263569{col 37}{space 1}    2.67{col 46}{space 3}0.008{col 54}{space 4} .0182572{col 67}{space 3}  .122251
{txt}b_treatq~l_z {c |}{col 14}{res}{space 2} .0975202{col 26}{space 2} .0201453{col 37}{space 1}    4.84{col 46}{space 3}0.000{col 54}{space 4} .0577777{col 67}{space 3} .1372628
{txt}b_trea~l_z_d {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 1}c_tfull_hc2 {c |}{col 14}{res}{space 2}-.0364872{col 26}{space 2} .0302334{col 37}{space 1}   -1.21{col 46}{space 3}0.229{col 54}{space 4}-.0961317{col 67}{space 3} .0231573
{txt}c_tfull_b_~l {c |}{col 14}{res}{space 2} .0347704{col 26}{space 2} .0357458{col 37}{space 1}    0.97{col 46}{space 3}0.332{col 54}{space 4}-.0357489{col 67}{space 3} .1052897
{txt}c_tfull_b_~s {c |}{col 14}{res}{space 2} .0245656{col 26}{space 2}  .041264{col 37}{space 1}    0.60{col 46}{space 3}0.552{col 54}{space 4}-.0568401{col 67}{space 3} .1059713
{txt}c_tfull_b_~d {c |}{col 14}{res}{space 2} .0272133{col 26}{space 2} .0158992{col 37}{space 1}    1.71{col 46}{space 3}0.089{col 54}{space 4}-.0041525{col 67}{space 3} .0585792
{txt}c_tfull_ed~r {c |}{col 14}{res}{space 2}-.0016339{col 26}{space 2} .0011181{col 37}{space 1}   -1.46{col 46}{space 3}0.146{col 54}{space 4}-.0038397{col 67}{space 3} .0005718
{txt}c_tfull_b_~x {c |}{col 14}{res}{space 2}-.0095979{col 26}{space 2} .0053077{col 37}{space 1}   -1.81{col 46}{space 3}0.072{col 54}{space 4} -.020069{col 67}{space 3} .0008732
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} .0005086{col 26}{space 2}  .020236{col 37}{space 1}    0.03{col 46}{space 3}0.980{col 54}{space 4}-.0394129{col 67}{space 3} .0404301
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull = .07{p_end}

{txt}       F(  1,   186) ={res}    0.00
{txt}{col 13}Prob > F ={res}    0.9923

{p 0 7}{space 1}{text:( 1)}{space 1} treatfull = -.07{p_end}

{txt}       F(  1,   186) ={res}   28.32
{txt}{col 13}Prob > F ={res}    0.0000
{txt}note: b_treatqual_z_d omitted because of collinearity
{res}
{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}     7,288
{txt}{col 49}F({res}   8{txt},{res}    186{txt}){col 67}= {res}      6.45
{txt}{col 49}Prob > F{col 67}= {res}    0.0000
{txt}{col 49}R-squared{col 67}= {res}    0.0978
{txt}{col 49}Adj R-squared{col 67}= {res}    0.0950
{txt}{col 49}Root MSE{col 67}= {res}    0.3521

{txt}{ralign 78:(Std. Err. adjusted for {res:187} clusters in hc_id)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}e_treatq~l_z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2} .0702541{col 26}{space 2} .0263569{col 37}{space 1}    2.67{col 46}{space 3}0.008{col 54}{space 4} .0182572{col 67}{space 3}  .122251
{txt}b_treatq~l_z {c |}{col 14}{res}{space 2} .0975202{col 26}{space 2} .0201453{col 37}{space 1}    4.84{col 46}{space 3}0.000{col 54}{space 4} .0577777{col 67}{space 3} .1372628
{txt}b_trea~l_z_d {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 1}c_tfull_hc2 {c |}{col 14}{res}{space 2}-.0364872{col 26}{space 2} .0302334{col 37}{space 1}   -1.21{col 46}{space 3}0.229{col 54}{space 4}-.0961317{col 67}{space 3} .0231573
{txt}c_tfull_b_~l {c |}{col 14}{res}{space 2} .0347704{col 26}{space 2} .0357458{col 37}{space 1}    0.97{col 46}{space 3}0.332{col 54}{space 4}-.0357489{col 67}{space 3} .1052897
{txt}c_tfull_b_~s {c |}{col 14}{res}{space 2} .0245656{col 26}{space 2}  .041264{col 37}{space 1}    0.60{col 46}{space 3}0.552{col 54}{space 4}-.0568401{col 67}{space 3} .1059713
{txt}c_tfull_b_~d {c |}{col 14}{res}{space 2} .0272133{col 26}{space 2} .0158992{col 37}{space 1}    1.71{col 46}{space 3}0.089{col 54}{space 4}-.0041525{col 67}{space 3} .0585792
{txt}c_tfull_ed~r {c |}{col 14}{res}{space 2}-.0016339{col 26}{space 2} .0011181{col 37}{space 1}   -1.46{col 46}{space 3}0.146{col 54}{space 4}-.0038397{col 67}{space 3} .0005718
{txt}c_tfull_b_~x {c |}{col 14}{res}{space 2}-.0095979{col 26}{space 2} .0053077{col 37}{space 1}   -1.81{col 46}{space 3}0.072{col 54}{space 4} -.020069{col 67}{space 3} .0008732
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} .0005086{col 26}{space 2}  .020236{col 37}{space 1}    0.03{col 46}{space 3}0.980{col 54}{space 4}-.0394129{col 67}{space 3} .0404301
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull = .071{p_end}

{txt}       F(  1,   186) ={res}    0.00
{txt}{col 13}Prob > F ={res}    0.9775

{p 0 7}{space 1}{text:( 1)}{space 1} treatfull = -.071{p_end}

{txt}       F(  1,   186) ={res}   28.72
{txt}{col 13}Prob > F ={res}    0.0000
{txt}note: b_treatqual_z_d omitted because of collinearity
{res}
{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}     7,288
{txt}{col 49}F({res}   8{txt},{res}    186{txt}){col 67}= {res}      6.45
{txt}{col 49}Prob > F{col 67}= {res}    0.0000
{txt}{col 49}R-squared{col 67}= {res}    0.0978
{txt}{col 49}Adj R-squared{col 67}= {res}    0.0950
{txt}{col 49}Root MSE{col 67}= {res}    0.3521

{txt}{ralign 78:(Std. Err. adjusted for {res:187} clusters in hc_id)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}e_treatq~l_z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2} .0702541{col 26}{space 2} .0263569{col 37}{space 1}    2.67{col 46}{space 3}0.008{col 54}{space 4} .0182572{col 67}{space 3}  .122251
{txt}b_treatq~l_z {c |}{col 14}{res}{space 2} .0975202{col 26}{space 2} .0201453{col 37}{space 1}    4.84{col 46}{space 3}0.000{col 54}{space 4} .0577777{col 67}{space 3} .1372628
{txt}b_trea~l_z_d {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 1}c_tfull_hc2 {c |}{col 14}{res}{space 2}-.0364872{col 26}{space 2} .0302334{col 37}{space 1}   -1.21{col 46}{space 3}0.229{col 54}{space 4}-.0961317{col 67}{space 3} .0231573
{txt}c_tfull_b_~l {c |}{col 14}{res}{space 2} .0347704{col 26}{space 2} .0357458{col 37}{space 1}    0.97{col 46}{space 3}0.332{col 54}{space 4}-.0357489{col 67}{space 3} .1052897
{txt}c_tfull_b_~s {c |}{col 14}{res}{space 2} .0245656{col 26}{space 2}  .041264{col 37}{space 1}    0.60{col 46}{space 3}0.552{col 54}{space 4}-.0568401{col 67}{space 3} .1059713
{txt}c_tfull_b_~d {c |}{col 14}{res}{space 2} .0272133{col 26}{space 2} .0158992{col 37}{space 1}    1.71{col 46}{space 3}0.089{col 54}{space 4}-.0041525{col 67}{space 3} .0585792
{txt}c_tfull_ed~r {c |}{col 14}{res}{space 2}-.0016339{col 26}{space 2} .0011181{col 37}{space 1}   -1.46{col 46}{space 3}0.146{col 54}{space 4}-.0038397{col 67}{space 3} .0005718
{txt}c_tfull_b_~x {c |}{col 14}{res}{space 2}-.0095979{col 26}{space 2} .0053077{col 37}{space 1}   -1.81{col 46}{space 3}0.072{col 54}{space 4} -.020069{col 67}{space 3} .0008732
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} .0005086{col 26}{space 2}  .020236{col 37}{space 1}    0.03{col 46}{space 3}0.980{col 54}{space 4}-.0394129{col 67}{space 3} .0404301
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull = .072{p_end}

{txt}       F(  1,   186) ={res}    0.00
{txt}{col 13}Prob > F ={res}    0.9473

{p 0 7}{space 1}{text:( 1)}{space 1} treatfull = -.072{p_end}

{txt}       F(  1,   186) ={res}   29.13
{txt}{col 13}Prob > F ={res}    0.0000
{txt}note: b_treatqual_z_d omitted because of collinearity
{res}
{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}     7,288
{txt}{col 49}F({res}   8{txt},{res}    186{txt}){col 67}= {res}      6.45
{txt}{col 49}Prob > F{col 67}= {res}    0.0000
{txt}{col 49}R-squared{col 67}= {res}    0.0978
{txt}{col 49}Adj R-squared{col 67}= {res}    0.0950
{txt}{col 49}Root MSE{col 67}= {res}    0.3521

{txt}{ralign 78:(Std. Err. adjusted for {res:187} clusters in hc_id)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}e_treatq~l_z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2} .0702541{col 26}{space 2} .0263569{col 37}{space 1}    2.67{col 46}{space 3}0.008{col 54}{space 4} .0182572{col 67}{space 3}  .122251
{txt}b_treatq~l_z {c |}{col 14}{res}{space 2} .0975202{col 26}{space 2} .0201453{col 37}{space 1}    4.84{col 46}{space 3}0.000{col 54}{space 4} .0577777{col 67}{space 3} .1372628
{txt}b_trea~l_z_d {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 1}c_tfull_hc2 {c |}{col 14}{res}{space 2}-.0364872{col 26}{space 2} .0302334{col 37}{space 1}   -1.21{col 46}{space 3}0.229{col 54}{space 4}-.0961317{col 67}{space 3} .0231573
{txt}c_tfull_b_~l {c |}{col 14}{res}{space 2} .0347704{col 26}{space 2} .0357458{col 37}{space 1}    0.97{col 46}{space 3}0.332{col 54}{space 4}-.0357489{col 67}{space 3} .1052897
{txt}c_tfull_b_~s {c |}{col 14}{res}{space 2} .0245656{col 26}{space 2}  .041264{col 37}{space 1}    0.60{col 46}{space 3}0.552{col 54}{space 4}-.0568401{col 67}{space 3} .1059713
{txt}c_tfull_b_~d {c |}{col 14}{res}{space 2} .0272133{col 26}{space 2} .0158992{col 37}{space 1}    1.71{col 46}{space 3}0.089{col 54}{space 4}-.0041525{col 67}{space 3} .0585792
{txt}c_tfull_ed~r {c |}{col 14}{res}{space 2}-.0016339{col 26}{space 2} .0011181{col 37}{space 1}   -1.46{col 46}{space 3}0.146{col 54}{space 4}-.0038397{col 67}{space 3} .0005718
{txt}c_tfull_b_~x {c |}{col 14}{res}{space 2}-.0095979{col 26}{space 2} .0053077{col 37}{space 1}   -1.81{col 46}{space 3}0.072{col 54}{space 4} -.020069{col 67}{space 3} .0008732
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} .0005086{col 26}{space 2}  .020236{col 37}{space 1}    0.03{col 46}{space 3}0.980{col 54}{space 4}-.0394129{col 67}{space 3} .0404301
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull = .073{p_end}

{txt}       F(  1,   186) ={res}    0.01
{txt}{col 13}Prob > F ={res}    0.9171

{p 0 7}{space 1}{text:( 1)}{space 1} treatfull = -.073{p_end}

{txt}       F(  1,   186) ={res}   29.54
{txt}{col 13}Prob > F ={res}    0.0000
{txt}note: b_treatqual_z_d omitted because of collinearity
{res}
{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}     7,288
{txt}{col 49}F({res}   8{txt},{res}    186{txt}){col 67}= {res}      6.45
{txt}{col 49}Prob > F{col 67}= {res}    0.0000
{txt}{col 49}R-squared{col 67}= {res}    0.0978
{txt}{col 49}Adj R-squared{col 67}= {res}    0.0950
{txt}{col 49}Root MSE{col 67}= {res}    0.3521

{txt}{ralign 78:(Std. Err. adjusted for {res:187} clusters in hc_id)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}e_treatq~l_z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2} .0702541{col 26}{space 2} .0263569{col 37}{space 1}    2.67{col 46}{space 3}0.008{col 54}{space 4} .0182572{col 67}{space 3}  .122251
{txt}b_treatq~l_z {c |}{col 14}{res}{space 2} .0975202{col 26}{space 2} .0201453{col 37}{space 1}    4.84{col 46}{space 3}0.000{col 54}{space 4} .0577777{col 67}{space 3} .1372628
{txt}b_trea~l_z_d {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 1}c_tfull_hc2 {c |}{col 14}{res}{space 2}-.0364872{col 26}{space 2} .0302334{col 37}{space 1}   -1.21{col 46}{space 3}0.229{col 54}{space 4}-.0961317{col 67}{space 3} .0231573
{txt}c_tfull_b_~l {c |}{col 14}{res}{space 2} .0347704{col 26}{space 2} .0357458{col 37}{space 1}    0.97{col 46}{space 3}0.332{col 54}{space 4}-.0357489{col 67}{space 3} .1052897
{txt}c_tfull_b_~s {c |}{col 14}{res}{space 2} .0245656{col 26}{space 2}  .041264{col 37}{space 1}    0.60{col 46}{space 3}0.552{col 54}{space 4}-.0568401{col 67}{space 3} .1059713
{txt}c_tfull_b_~d {c |}{col 14}{res}{space 2} .0272133{col 26}{space 2} .0158992{col 37}{space 1}    1.71{col 46}{space 3}0.089{col 54}{space 4}-.0041525{col 67}{space 3} .0585792
{txt}c_tfull_ed~r {c |}{col 14}{res}{space 2}-.0016339{col 26}{space 2} .0011181{col 37}{space 1}   -1.46{col 46}{space 3}0.146{col 54}{space 4}-.0038397{col 67}{space 3} .0005718
{txt}c_tfull_b_~x {c |}{col 14}{res}{space 2}-.0095979{col 26}{space 2} .0053077{col 37}{space 1}   -1.81{col 46}{space 3}0.072{col 54}{space 4} -.020069{col 67}{space 3} .0008732
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} .0005086{col 26}{space 2}  .020236{col 37}{space 1}    0.03{col 46}{space 3}0.980{col 54}{space 4}-.0394129{col 67}{space 3} .0404301
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull = .074{p_end}

{txt}       F(  1,   186) ={res}    0.02
{txt}{col 13}Prob > F ={res}    0.8871

{p 0 7}{space 1}{text:( 1)}{space 1} treatfull = -.074{p_end}

{txt}       F(  1,   186) ={res}   29.95
{txt}{col 13}Prob > F ={res}    0.0000
{txt}note: b_treatqual_z_d omitted because of collinearity
{res}
{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}     7,288
{txt}{col 49}F({res}   8{txt},{res}    186{txt}){col 67}= {res}      6.45
{txt}{col 49}Prob > F{col 67}= {res}    0.0000
{txt}{col 49}R-squared{col 67}= {res}    0.0978
{txt}{col 49}Adj R-squared{col 67}= {res}    0.0950
{txt}{col 49}Root MSE{col 67}= {res}    0.3521

{txt}{ralign 78:(Std. Err. adjusted for {res:187} clusters in hc_id)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}e_treatq~l_z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2} .0702541{col 26}{space 2} .0263569{col 37}{space 1}    2.67{col 46}{space 3}0.008{col 54}{space 4} .0182572{col 67}{space 3}  .122251
{txt}b_treatq~l_z {c |}{col 14}{res}{space 2} .0975202{col 26}{space 2} .0201453{col 37}{space 1}    4.84{col 46}{space 3}0.000{col 54}{space 4} .0577777{col 67}{space 3} .1372628
{txt}b_trea~l_z_d {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 1}c_tfull_hc2 {c |}{col 14}{res}{space 2}-.0364872{col 26}{space 2} .0302334{col 37}{space 1}   -1.21{col 46}{space 3}0.229{col 54}{space 4}-.0961317{col 67}{space 3} .0231573
{txt}c_tfull_b_~l {c |}{col 14}{res}{space 2} .0347704{col 26}{space 2} .0357458{col 37}{space 1}    0.97{col 46}{space 3}0.332{col 54}{space 4}-.0357489{col 67}{space 3} .1052897
{txt}c_tfull_b_~s {c |}{col 14}{res}{space 2} .0245656{col 26}{space 2}  .041264{col 37}{space 1}    0.60{col 46}{space 3}0.552{col 54}{space 4}-.0568401{col 67}{space 3} .1059713
{txt}c_tfull_b_~d {c |}{col 14}{res}{space 2} .0272133{col 26}{space 2} .0158992{col 37}{space 1}    1.71{col 46}{space 3}0.089{col 54}{space 4}-.0041525{col 67}{space 3} .0585792
{txt}c_tfull_ed~r {c |}{col 14}{res}{space 2}-.0016339{col 26}{space 2} .0011181{col 37}{space 1}   -1.46{col 46}{space 3}0.146{col 54}{space 4}-.0038397{col 67}{space 3} .0005718
{txt}c_tfull_b_~x {c |}{col 14}{res}{space 2}-.0095979{col 26}{space 2} .0053077{col 37}{space 1}   -1.81{col 46}{space 3}0.072{col 54}{space 4} -.020069{col 67}{space 3} .0008732
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} .0005086{col 26}{space 2}  .020236{col 37}{space 1}    0.03{col 46}{space 3}0.980{col 54}{space 4}-.0394129{col 67}{space 3} .0404301
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull = .075{p_end}

{txt}       F(  1,   186) ={res}    0.03
{txt}{col 13}Prob > F ={res}    0.8573

{p 0 7}{space 1}{text:( 1)}{space 1} treatfull = -.075{p_end}

{txt}       F(  1,   186) ={res}   30.37
{txt}{col 13}Prob > F ={res}    0.0000
{txt}note: b_treatqual_z_d omitted because of collinearity
{res}
{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}     7,288
{txt}{col 49}F({res}   8{txt},{res}    186{txt}){col 67}= {res}      6.45
{txt}{col 49}Prob > F{col 67}= {res}    0.0000
{txt}{col 49}R-squared{col 67}= {res}    0.0978
{txt}{col 49}Adj R-squared{col 67}= {res}    0.0950
{txt}{col 49}Root MSE{col 67}= {res}    0.3521

{txt}{ralign 78:(Std. Err. adjusted for {res:187} clusters in hc_id)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}e_treatq~l_z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2} .0702541{col 26}{space 2} .0263569{col 37}{space 1}    2.67{col 46}{space 3}0.008{col 54}{space 4} .0182572{col 67}{space 3}  .122251
{txt}b_treatq~l_z {c |}{col 14}{res}{space 2} .0975202{col 26}{space 2} .0201453{col 37}{space 1}    4.84{col 46}{space 3}0.000{col 54}{space 4} .0577777{col 67}{space 3} .1372628
{txt}b_trea~l_z_d {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 1}c_tfull_hc2 {c |}{col 14}{res}{space 2}-.0364872{col 26}{space 2} .0302334{col 37}{space 1}   -1.21{col 46}{space 3}0.229{col 54}{space 4}-.0961317{col 67}{space 3} .0231573
{txt}c_tfull_b_~l {c |}{col 14}{res}{space 2} .0347704{col 26}{space 2} .0357458{col 37}{space 1}    0.97{col 46}{space 3}0.332{col 54}{space 4}-.0357489{col 67}{space 3} .1052897
{txt}c_tfull_b_~s {c |}{col 14}{res}{space 2} .0245656{col 26}{space 2}  .041264{col 37}{space 1}    0.60{col 46}{space 3}0.552{col 54}{space 4}-.0568401{col 67}{space 3} .1059713
{txt}c_tfull_b_~d {c |}{col 14}{res}{space 2} .0272133{col 26}{space 2} .0158992{col 37}{space 1}    1.71{col 46}{space 3}0.089{col 54}{space 4}-.0041525{col 67}{space 3} .0585792
{txt}c_tfull_ed~r {c |}{col 14}{res}{space 2}-.0016339{col 26}{space 2} .0011181{col 37}{space 1}   -1.46{col 46}{space 3}0.146{col 54}{space 4}-.0038397{col 67}{space 3} .0005718
{txt}c_tfull_b_~x {c |}{col 14}{res}{space 2}-.0095979{col 26}{space 2} .0053077{col 37}{space 1}   -1.81{col 46}{space 3}0.072{col 54}{space 4} -.020069{col 67}{space 3} .0008732
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} .0005086{col 26}{space 2}  .020236{col 37}{space 1}    0.03{col 46}{space 3}0.980{col 54}{space 4}-.0394129{col 67}{space 3} .0404301
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull = .076{p_end}

{txt}       F(  1,   186) ={res}    0.05
{txt}{col 13}Prob > F ={res}    0.8277

{p 0 7}{space 1}{text:( 1)}{space 1} treatfull = -.076{p_end}

{txt}       F(  1,   186) ={res}   30.79
{txt}{col 13}Prob > F ={res}    0.0000
{txt}note: b_treatqual_z_d omitted because of collinearity
{res}
{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}     7,288
{txt}{col 49}F({res}   8{txt},{res}    186{txt}){col 67}= {res}      6.45
{txt}{col 49}Prob > F{col 67}= {res}    0.0000
{txt}{col 49}R-squared{col 67}= {res}    0.0978
{txt}{col 49}Adj R-squared{col 67}= {res}    0.0950
{txt}{col 49}Root MSE{col 67}= {res}    0.3521

{txt}{ralign 78:(Std. Err. adjusted for {res:187} clusters in hc_id)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}e_treatq~l_z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2} .0702541{col 26}{space 2} .0263569{col 37}{space 1}    2.67{col 46}{space 3}0.008{col 54}{space 4} .0182572{col 67}{space 3}  .122251
{txt}b_treatq~l_z {c |}{col 14}{res}{space 2} .0975202{col 26}{space 2} .0201453{col 37}{space 1}    4.84{col 46}{space 3}0.000{col 54}{space 4} .0577777{col 67}{space 3} .1372628
{txt}b_trea~l_z_d {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 1}c_tfull_hc2 {c |}{col 14}{res}{space 2}-.0364872{col 26}{space 2} .0302334{col 37}{space 1}   -1.21{col 46}{space 3}0.229{col 54}{space 4}-.0961317{col 67}{space 3} .0231573
{txt}c_tfull_b_~l {c |}{col 14}{res}{space 2} .0347704{col 26}{space 2} .0357458{col 37}{space 1}    0.97{col 46}{space 3}0.332{col 54}{space 4}-.0357489{col 67}{space 3} .1052897
{txt}c_tfull_b_~s {c |}{col 14}{res}{space 2} .0245656{col 26}{space 2}  .041264{col 37}{space 1}    0.60{col 46}{space 3}0.552{col 54}{space 4}-.0568401{col 67}{space 3} .1059713
{txt}c_tfull_b_~d {c |}{col 14}{res}{space 2} .0272133{col 26}{space 2} .0158992{col 37}{space 1}    1.71{col 46}{space 3}0.089{col 54}{space 4}-.0041525{col 67}{space 3} .0585792
{txt}c_tfull_ed~r {c |}{col 14}{res}{space 2}-.0016339{col 26}{space 2} .0011181{col 37}{space 1}   -1.46{col 46}{space 3}0.146{col 54}{space 4}-.0038397{col 67}{space 3} .0005718
{txt}c_tfull_b_~x {c |}{col 14}{res}{space 2}-.0095979{col 26}{space 2} .0053077{col 37}{space 1}   -1.81{col 46}{space 3}0.072{col 54}{space 4} -.020069{col 67}{space 3} .0008732
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} .0005086{col 26}{space 2}  .020236{col 37}{space 1}    0.03{col 46}{space 3}0.980{col 54}{space 4}-.0394129{col 67}{space 3} .0404301
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull = .077{p_end}

{txt}       F(  1,   186) ={res}    0.07
{txt}{col 13}Prob > F ={res}    0.7983

{p 0 7}{space 1}{text:( 1)}{space 1} treatfull = -.077{p_end}

{txt}       F(  1,   186) ={res}   31.21
{txt}{col 13}Prob > F ={res}    0.0000
{txt}note: b_treatqual_z_d omitted because of collinearity
{res}
{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}     7,288
{txt}{col 49}F({res}   8{txt},{res}    186{txt}){col 67}= {res}      6.45
{txt}{col 49}Prob > F{col 67}= {res}    0.0000
{txt}{col 49}R-squared{col 67}= {res}    0.0978
{txt}{col 49}Adj R-squared{col 67}= {res}    0.0950
{txt}{col 49}Root MSE{col 67}= {res}    0.3521

{txt}{ralign 78:(Std. Err. adjusted for {res:187} clusters in hc_id)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}e_treatq~l_z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2} .0702541{col 26}{space 2} .0263569{col 37}{space 1}    2.67{col 46}{space 3}0.008{col 54}{space 4} .0182572{col 67}{space 3}  .122251
{txt}b_treatq~l_z {c |}{col 14}{res}{space 2} .0975202{col 26}{space 2} .0201453{col 37}{space 1}    4.84{col 46}{space 3}0.000{col 54}{space 4} .0577777{col 67}{space 3} .1372628
{txt}b_trea~l_z_d {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 1}c_tfull_hc2 {c |}{col 14}{res}{space 2}-.0364872{col 26}{space 2} .0302334{col 37}{space 1}   -1.21{col 46}{space 3}0.229{col 54}{space 4}-.0961317{col 67}{space 3} .0231573
{txt}c_tfull_b_~l {c |}{col 14}{res}{space 2} .0347704{col 26}{space 2} .0357458{col 37}{space 1}    0.97{col 46}{space 3}0.332{col 54}{space 4}-.0357489{col 67}{space 3} .1052897
{txt}c_tfull_b_~s {c |}{col 14}{res}{space 2} .0245656{col 26}{space 2}  .041264{col 37}{space 1}    0.60{col 46}{space 3}0.552{col 54}{space 4}-.0568401{col 67}{space 3} .1059713
{txt}c_tfull_b_~d {c |}{col 14}{res}{space 2} .0272133{col 26}{space 2} .0158992{col 37}{space 1}    1.71{col 46}{space 3}0.089{col 54}{space 4}-.0041525{col 67}{space 3} .0585792
{txt}c_tfull_ed~r {c |}{col 14}{res}{space 2}-.0016339{col 26}{space 2} .0011181{col 37}{space 1}   -1.46{col 46}{space 3}0.146{col 54}{space 4}-.0038397{col 67}{space 3} .0005718
{txt}c_tfull_b_~x {c |}{col 14}{res}{space 2}-.0095979{col 26}{space 2} .0053077{col 37}{space 1}   -1.81{col 46}{space 3}0.072{col 54}{space 4} -.020069{col 67}{space 3} .0008732
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} .0005086{col 26}{space 2}  .020236{col 37}{space 1}    0.03{col 46}{space 3}0.980{col 54}{space 4}-.0394129{col 67}{space 3} .0404301
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull = .078{p_end}

{txt}       F(  1,   186) ={res}    0.09
{txt}{col 13}Prob > F ={res}    0.7692

{p 0 7}{space 1}{text:( 1)}{space 1} treatfull = -.078{p_end}

{txt}       F(  1,   186) ={res}   31.64
{txt}{col 13}Prob > F ={res}    0.0000
{txt}note: b_treatqual_z_d omitted because of collinearity
{res}
{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}     7,288
{txt}{col 49}F({res}   8{txt},{res}    186{txt}){col 67}= {res}      6.45
{txt}{col 49}Prob > F{col 67}= {res}    0.0000
{txt}{col 49}R-squared{col 67}= {res}    0.0978
{txt}{col 49}Adj R-squared{col 67}= {res}    0.0950
{txt}{col 49}Root MSE{col 67}= {res}    0.3521

{txt}{ralign 78:(Std. Err. adjusted for {res:187} clusters in hc_id)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}e_treatq~l_z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2} .0702541{col 26}{space 2} .0263569{col 37}{space 1}    2.67{col 46}{space 3}0.008{col 54}{space 4} .0182572{col 67}{space 3}  .122251
{txt}b_treatq~l_z {c |}{col 14}{res}{space 2} .0975202{col 26}{space 2} .0201453{col 37}{space 1}    4.84{col 46}{space 3}0.000{col 54}{space 4} .0577777{col 67}{space 3} .1372628
{txt}b_trea~l_z_d {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 1}c_tfull_hc2 {c |}{col 14}{res}{space 2}-.0364872{col 26}{space 2} .0302334{col 37}{space 1}   -1.21{col 46}{space 3}0.229{col 54}{space 4}-.0961317{col 67}{space 3} .0231573
{txt}c_tfull_b_~l {c |}{col 14}{res}{space 2} .0347704{col 26}{space 2} .0357458{col 37}{space 1}    0.97{col 46}{space 3}0.332{col 54}{space 4}-.0357489{col 67}{space 3} .1052897
{txt}c_tfull_b_~s {c |}{col 14}{res}{space 2} .0245656{col 26}{space 2}  .041264{col 37}{space 1}    0.60{col 46}{space 3}0.552{col 54}{space 4}-.0568401{col 67}{space 3} .1059713
{txt}c_tfull_b_~d {c |}{col 14}{res}{space 2} .0272133{col 26}{space 2} .0158992{col 37}{space 1}    1.71{col 46}{space 3}0.089{col 54}{space 4}-.0041525{col 67}{space 3} .0585792
{txt}c_tfull_ed~r {c |}{col 14}{res}{space 2}-.0016339{col 26}{space 2} .0011181{col 37}{space 1}   -1.46{col 46}{space 3}0.146{col 54}{space 4}-.0038397{col 67}{space 3} .0005718
{txt}c_tfull_b_~x {c |}{col 14}{res}{space 2}-.0095979{col 26}{space 2} .0053077{col 37}{space 1}   -1.81{col 46}{space 3}0.072{col 54}{space 4} -.020069{col 67}{space 3} .0008732
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} .0005086{col 26}{space 2}  .020236{col 37}{space 1}    0.03{col 46}{space 3}0.980{col 54}{space 4}-.0394129{col 67}{space 3} .0404301
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull = .079{p_end}

{txt}       F(  1,   186) ={res}    0.11
{txt}{col 13}Prob > F ={res}    0.7404

{p 0 7}{space 1}{text:( 1)}{space 1} treatfull = -.079{p_end}

{txt}       F(  1,   186) ={res}   32.07
{txt}{col 13}Prob > F ={res}    0.0000
{txt}note: b_treatqual_z_d omitted because of collinearity
{res}
{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}     7,288
{txt}{col 49}F({res}   8{txt},{res}    186{txt}){col 67}= {res}      6.45
{txt}{col 49}Prob > F{col 67}= {res}    0.0000
{txt}{col 49}R-squared{col 67}= {res}    0.0978
{txt}{col 49}Adj R-squared{col 67}= {res}    0.0950
{txt}{col 49}Root MSE{col 67}= {res}    0.3521

{txt}{ralign 78:(Std. Err. adjusted for {res:187} clusters in hc_id)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}e_treatq~l_z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2} .0702541{col 26}{space 2} .0263569{col 37}{space 1}    2.67{col 46}{space 3}0.008{col 54}{space 4} .0182572{col 67}{space 3}  .122251
{txt}b_treatq~l_z {c |}{col 14}{res}{space 2} .0975202{col 26}{space 2} .0201453{col 37}{space 1}    4.84{col 46}{space 3}0.000{col 54}{space 4} .0577777{col 67}{space 3} .1372628
{txt}b_trea~l_z_d {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 1}c_tfull_hc2 {c |}{col 14}{res}{space 2}-.0364872{col 26}{space 2} .0302334{col 37}{space 1}   -1.21{col 46}{space 3}0.229{col 54}{space 4}-.0961317{col 67}{space 3} .0231573
{txt}c_tfull_b_~l {c |}{col 14}{res}{space 2} .0347704{col 26}{space 2} .0357458{col 37}{space 1}    0.97{col 46}{space 3}0.332{col 54}{space 4}-.0357489{col 67}{space 3} .1052897
{txt}c_tfull_b_~s {c |}{col 14}{res}{space 2} .0245656{col 26}{space 2}  .041264{col 37}{space 1}    0.60{col 46}{space 3}0.552{col 54}{space 4}-.0568401{col 67}{space 3} .1059713
{txt}c_tfull_b_~d {c |}{col 14}{res}{space 2} .0272133{col 26}{space 2} .0158992{col 37}{space 1}    1.71{col 46}{space 3}0.089{col 54}{space 4}-.0041525{col 67}{space 3} .0585792
{txt}c_tfull_ed~r {c |}{col 14}{res}{space 2}-.0016339{col 26}{space 2} .0011181{col 37}{space 1}   -1.46{col 46}{space 3}0.146{col 54}{space 4}-.0038397{col 67}{space 3} .0005718
{txt}c_tfull_b_~x {c |}{col 14}{res}{space 2}-.0095979{col 26}{space 2} .0053077{col 37}{space 1}   -1.81{col 46}{space 3}0.072{col 54}{space 4} -.020069{col 67}{space 3} .0008732
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} .0005086{col 26}{space 2}  .020236{col 37}{space 1}    0.03{col 46}{space 3}0.980{col 54}{space 4}-.0394129{col 67}{space 3} .0404301
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull = .08{p_end}

{txt}       F(  1,   186) ={res}    0.14
{txt}{col 13}Prob > F ={res}    0.7120

{p 0 7}{space 1}{text:( 1)}{space 1} treatfull = -.08{p_end}

{txt}       F(  1,   186) ={res}   32.50
{txt}{col 13}Prob > F ={res}    0.0000
{txt}note: b_treatqual_z_d omitted because of collinearity
{res}
{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}     7,288
{txt}{col 49}F({res}   8{txt},{res}    186{txt}){col 67}= {res}      6.45
{txt}{col 49}Prob > F{col 67}= {res}    0.0000
{txt}{col 49}R-squared{col 67}= {res}    0.0978
{txt}{col 49}Adj R-squared{col 67}= {res}    0.0950
{txt}{col 49}Root MSE{col 67}= {res}    0.3521

{txt}{ralign 78:(Std. Err. adjusted for {res:187} clusters in hc_id)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}e_treatq~l_z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2} .0702541{col 26}{space 2} .0263569{col 37}{space 1}    2.67{col 46}{space 3}0.008{col 54}{space 4} .0182572{col 67}{space 3}  .122251
{txt}b_treatq~l_z {c |}{col 14}{res}{space 2} .0975202{col 26}{space 2} .0201453{col 37}{space 1}    4.84{col 46}{space 3}0.000{col 54}{space 4} .0577777{col 67}{space 3} .1372628
{txt}b_trea~l_z_d {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 1}c_tfull_hc2 {c |}{col 14}{res}{space 2}-.0364872{col 26}{space 2} .0302334{col 37}{space 1}   -1.21{col 46}{space 3}0.229{col 54}{space 4}-.0961317{col 67}{space 3} .0231573
{txt}c_tfull_b_~l {c |}{col 14}{res}{space 2} .0347704{col 26}{space 2} .0357458{col 37}{space 1}    0.97{col 46}{space 3}0.332{col 54}{space 4}-.0357489{col 67}{space 3} .1052897
{txt}c_tfull_b_~s {c |}{col 14}{res}{space 2} .0245656{col 26}{space 2}  .041264{col 37}{space 1}    0.60{col 46}{space 3}0.552{col 54}{space 4}-.0568401{col 67}{space 3} .1059713
{txt}c_tfull_b_~d {c |}{col 14}{res}{space 2} .0272133{col 26}{space 2} .0158992{col 37}{space 1}    1.71{col 46}{space 3}0.089{col 54}{space 4}-.0041525{col 67}{space 3} .0585792
{txt}c_tfull_ed~r {c |}{col 14}{res}{space 2}-.0016339{col 26}{space 2} .0011181{col 37}{space 1}   -1.46{col 46}{space 3}0.146{col 54}{space 4}-.0038397{col 67}{space 3} .0005718
{txt}c_tfull_b_~x {c |}{col 14}{res}{space 2}-.0095979{col 26}{space 2} .0053077{col 37}{space 1}   -1.81{col 46}{space 3}0.072{col 54}{space 4} -.020069{col 67}{space 3} .0008732
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} .0005086{col 26}{space 2}  .020236{col 37}{space 1}    0.03{col 46}{space 3}0.980{col 54}{space 4}-.0394129{col 67}{space 3} .0404301
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull = .081{p_end}

{txt}       F(  1,   186) ={res}    0.17
{txt}{col 13}Prob > F ={res}    0.6840

{p 0 7}{space 1}{text:( 1)}{space 1} treatfull = -.081{p_end}

{txt}       F(  1,   186) ={res}   32.93
{txt}{col 13}Prob > F ={res}    0.0000
{txt}note: b_treatqual_z_d omitted because of collinearity
{res}
{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}     7,288
{txt}{col 49}F({res}   8{txt},{res}    186{txt}){col 67}= {res}      6.45
{txt}{col 49}Prob > F{col 67}= {res}    0.0000
{txt}{col 49}R-squared{col 67}= {res}    0.0978
{txt}{col 49}Adj R-squared{col 67}= {res}    0.0950
{txt}{col 49}Root MSE{col 67}= {res}    0.3521

{txt}{ralign 78:(Std. Err. adjusted for {res:187} clusters in hc_id)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}e_treatq~l_z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2} .0702541{col 26}{space 2} .0263569{col 37}{space 1}    2.67{col 46}{space 3}0.008{col 54}{space 4} .0182572{col 67}{space 3}  .122251
{txt}b_treatq~l_z {c |}{col 14}{res}{space 2} .0975202{col 26}{space 2} .0201453{col 37}{space 1}    4.84{col 46}{space 3}0.000{col 54}{space 4} .0577777{col 67}{space 3} .1372628
{txt}b_trea~l_z_d {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 1}c_tfull_hc2 {c |}{col 14}{res}{space 2}-.0364872{col 26}{space 2} .0302334{col 37}{space 1}   -1.21{col 46}{space 3}0.229{col 54}{space 4}-.0961317{col 67}{space 3} .0231573
{txt}c_tfull_b_~l {c |}{col 14}{res}{space 2} .0347704{col 26}{space 2} .0357458{col 37}{space 1}    0.97{col 46}{space 3}0.332{col 54}{space 4}-.0357489{col 67}{space 3} .1052897
{txt}c_tfull_b_~s {c |}{col 14}{res}{space 2} .0245656{col 26}{space 2}  .041264{col 37}{space 1}    0.60{col 46}{space 3}0.552{col 54}{space 4}-.0568401{col 67}{space 3} .1059713
{txt}c_tfull_b_~d {c |}{col 14}{res}{space 2} .0272133{col 26}{space 2} .0158992{col 37}{space 1}    1.71{col 46}{space 3}0.089{col 54}{space 4}-.0041525{col 67}{space 3} .0585792
{txt}c_tfull_ed~r {c |}{col 14}{res}{space 2}-.0016339{col 26}{space 2} .0011181{col 37}{space 1}   -1.46{col 46}{space 3}0.146{col 54}{space 4}-.0038397{col 67}{space 3} .0005718
{txt}c_tfull_b_~x {c |}{col 14}{res}{space 2}-.0095979{col 26}{space 2} .0053077{col 37}{space 1}   -1.81{col 46}{space 3}0.072{col 54}{space 4} -.020069{col 67}{space 3} .0008732
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} .0005086{col 26}{space 2}  .020236{col 37}{space 1}    0.03{col 46}{space 3}0.980{col 54}{space 4}-.0394129{col 67}{space 3} .0404301
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull = .082{p_end}

{txt}       F(  1,   186) ={res}    0.20
{txt}{col 13}Prob > F ={res}    0.6564

{p 0 7}{space 1}{text:( 1)}{space 1} treatfull = -.082{p_end}

{txt}       F(  1,   186) ={res}   33.37
{txt}{col 13}Prob > F ={res}    0.0000
{txt}note: b_treatqual_z_d omitted because of collinearity
{res}
{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}     7,288
{txt}{col 49}F({res}   8{txt},{res}    186{txt}){col 67}= {res}      6.45
{txt}{col 49}Prob > F{col 67}= {res}    0.0000
{txt}{col 49}R-squared{col 67}= {res}    0.0978
{txt}{col 49}Adj R-squared{col 67}= {res}    0.0950
{txt}{col 49}Root MSE{col 67}= {res}    0.3521

{txt}{ralign 78:(Std. Err. adjusted for {res:187} clusters in hc_id)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}e_treatq~l_z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2} .0702541{col 26}{space 2} .0263569{col 37}{space 1}    2.67{col 46}{space 3}0.008{col 54}{space 4} .0182572{col 67}{space 3}  .122251
{txt}b_treatq~l_z {c |}{col 14}{res}{space 2} .0975202{col 26}{space 2} .0201453{col 37}{space 1}    4.84{col 46}{space 3}0.000{col 54}{space 4} .0577777{col 67}{space 3} .1372628
{txt}b_trea~l_z_d {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 1}c_tfull_hc2 {c |}{col 14}{res}{space 2}-.0364872{col 26}{space 2} .0302334{col 37}{space 1}   -1.21{col 46}{space 3}0.229{col 54}{space 4}-.0961317{col 67}{space 3} .0231573
{txt}c_tfull_b_~l {c |}{col 14}{res}{space 2} .0347704{col 26}{space 2} .0357458{col 37}{space 1}    0.97{col 46}{space 3}0.332{col 54}{space 4}-.0357489{col 67}{space 3} .1052897
{txt}c_tfull_b_~s {c |}{col 14}{res}{space 2} .0245656{col 26}{space 2}  .041264{col 37}{space 1}    0.60{col 46}{space 3}0.552{col 54}{space 4}-.0568401{col 67}{space 3} .1059713
{txt}c_tfull_b_~d {c |}{col 14}{res}{space 2} .0272133{col 26}{space 2} .0158992{col 37}{space 1}    1.71{col 46}{space 3}0.089{col 54}{space 4}-.0041525{col 67}{space 3} .0585792
{txt}c_tfull_ed~r {c |}{col 14}{res}{space 2}-.0016339{col 26}{space 2} .0011181{col 37}{space 1}   -1.46{col 46}{space 3}0.146{col 54}{space 4}-.0038397{col 67}{space 3} .0005718
{txt}c_tfull_b_~x {c |}{col 14}{res}{space 2}-.0095979{col 26}{space 2} .0053077{col 37}{space 1}   -1.81{col 46}{space 3}0.072{col 54}{space 4} -.020069{col 67}{space 3} .0008732
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} .0005086{col 26}{space 2}  .020236{col 37}{space 1}    0.03{col 46}{space 3}0.980{col 54}{space 4}-.0394129{col 67}{space 3} .0404301
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull = .083{p_end}

{txt}       F(  1,   186) ={res}    0.23
{txt}{col 13}Prob > F ={res}    0.6292

{p 0 7}{space 1}{text:( 1)}{space 1} treatfull = -.083{p_end}

{txt}       F(  1,   186) ={res}   33.81
{txt}{col 13}Prob > F ={res}    0.0000
{txt}note: b_treatqual_z_d omitted because of collinearity
{res}
{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}     7,288
{txt}{col 49}F({res}   8{txt},{res}    186{txt}){col 67}= {res}      6.45
{txt}{col 49}Prob > F{col 67}= {res}    0.0000
{txt}{col 49}R-squared{col 67}= {res}    0.0978
{txt}{col 49}Adj R-squared{col 67}= {res}    0.0950
{txt}{col 49}Root MSE{col 67}= {res}    0.3521

{txt}{ralign 78:(Std. Err. adjusted for {res:187} clusters in hc_id)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}e_treatq~l_z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2} .0702541{col 26}{space 2} .0263569{col 37}{space 1}    2.67{col 46}{space 3}0.008{col 54}{space 4} .0182572{col 67}{space 3}  .122251
{txt}b_treatq~l_z {c |}{col 14}{res}{space 2} .0975202{col 26}{space 2} .0201453{col 37}{space 1}    4.84{col 46}{space 3}0.000{col 54}{space 4} .0577777{col 67}{space 3} .1372628
{txt}b_trea~l_z_d {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 1}c_tfull_hc2 {c |}{col 14}{res}{space 2}-.0364872{col 26}{space 2} .0302334{col 37}{space 1}   -1.21{col 46}{space 3}0.229{col 54}{space 4}-.0961317{col 67}{space 3} .0231573
{txt}c_tfull_b_~l {c |}{col 14}{res}{space 2} .0347704{col 26}{space 2} .0357458{col 37}{space 1}    0.97{col 46}{space 3}0.332{col 54}{space 4}-.0357489{col 67}{space 3} .1052897
{txt}c_tfull_b_~s {c |}{col 14}{res}{space 2} .0245656{col 26}{space 2}  .041264{col 37}{space 1}    0.60{col 46}{space 3}0.552{col 54}{space 4}-.0568401{col 67}{space 3} .1059713
{txt}c_tfull_b_~d {c |}{col 14}{res}{space 2} .0272133{col 26}{space 2} .0158992{col 37}{space 1}    1.71{col 46}{space 3}0.089{col 54}{space 4}-.0041525{col 67}{space 3} .0585792
{txt}c_tfull_ed~r {c |}{col 14}{res}{space 2}-.0016339{col 26}{space 2} .0011181{col 37}{space 1}   -1.46{col 46}{space 3}0.146{col 54}{space 4}-.0038397{col 67}{space 3} .0005718
{txt}c_tfull_b_~x {c |}{col 14}{res}{space 2}-.0095979{col 26}{space 2} .0053077{col 37}{space 1}   -1.81{col 46}{space 3}0.072{col 54}{space 4} -.020069{col 67}{space 3} .0008732
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} .0005086{col 26}{space 2}  .020236{col 37}{space 1}    0.03{col 46}{space 3}0.980{col 54}{space 4}-.0394129{col 67}{space 3} .0404301
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull = .084{p_end}

{txt}       F(  1,   186) ={res}    0.27
{txt}{col 13}Prob > F ={res}    0.6026

{p 0 7}{space 1}{text:( 1)}{space 1} treatfull = -.084{p_end}

{txt}       F(  1,   186) ={res}   34.25
{txt}{col 13}Prob > F ={res}    0.0000
{txt}note: b_treatqual_z_d omitted because of collinearity
{res}
{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}     7,288
{txt}{col 49}F({res}   8{txt},{res}    186{txt}){col 67}= {res}      6.45
{txt}{col 49}Prob > F{col 67}= {res}    0.0000
{txt}{col 49}R-squared{col 67}= {res}    0.0978
{txt}{col 49}Adj R-squared{col 67}= {res}    0.0950
{txt}{col 49}Root MSE{col 67}= {res}    0.3521

{txt}{ralign 78:(Std. Err. adjusted for {res:187} clusters in hc_id)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}e_treatq~l_z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2} .0702541{col 26}{space 2} .0263569{col 37}{space 1}    2.67{col 46}{space 3}0.008{col 54}{space 4} .0182572{col 67}{space 3}  .122251
{txt}b_treatq~l_z {c |}{col 14}{res}{space 2} .0975202{col 26}{space 2} .0201453{col 37}{space 1}    4.84{col 46}{space 3}0.000{col 54}{space 4} .0577777{col 67}{space 3} .1372628
{txt}b_trea~l_z_d {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 1}c_tfull_hc2 {c |}{col 14}{res}{space 2}-.0364872{col 26}{space 2} .0302334{col 37}{space 1}   -1.21{col 46}{space 3}0.229{col 54}{space 4}-.0961317{col 67}{space 3} .0231573
{txt}c_tfull_b_~l {c |}{col 14}{res}{space 2} .0347704{col 26}{space 2} .0357458{col 37}{space 1}    0.97{col 46}{space 3}0.332{col 54}{space 4}-.0357489{col 67}{space 3} .1052897
{txt}c_tfull_b_~s {c |}{col 14}{res}{space 2} .0245656{col 26}{space 2}  .041264{col 37}{space 1}    0.60{col 46}{space 3}0.552{col 54}{space 4}-.0568401{col 67}{space 3} .1059713
{txt}c_tfull_b_~d {c |}{col 14}{res}{space 2} .0272133{col 26}{space 2} .0158992{col 37}{space 1}    1.71{col 46}{space 3}0.089{col 54}{space 4}-.0041525{col 67}{space 3} .0585792
{txt}c_tfull_ed~r {c |}{col 14}{res}{space 2}-.0016339{col 26}{space 2} .0011181{col 37}{space 1}   -1.46{col 46}{space 3}0.146{col 54}{space 4}-.0038397{col 67}{space 3} .0005718
{txt}c_tfull_b_~x {c |}{col 14}{res}{space 2}-.0095979{col 26}{space 2} .0053077{col 37}{space 1}   -1.81{col 46}{space 3}0.072{col 54}{space 4} -.020069{col 67}{space 3} .0008732
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} .0005086{col 26}{space 2}  .020236{col 37}{space 1}    0.03{col 46}{space 3}0.980{col 54}{space 4}-.0394129{col 67}{space 3} .0404301
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull = .085{p_end}

{txt}       F(  1,   186) ={res}    0.31
{txt}{col 13}Prob > F ={res}    0.5765

{p 0 7}{space 1}{text:( 1)}{space 1} treatfull = -.085{p_end}

{txt}       F(  1,   186) ={res}   34.70
{txt}{col 13}Prob > F ={res}    0.0000
{txt}note: b_treatqual_z_d omitted because of collinearity
{res}
{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}     7,288
{txt}{col 49}F({res}   8{txt},{res}    186{txt}){col 67}= {res}      6.45
{txt}{col 49}Prob > F{col 67}= {res}    0.0000
{txt}{col 49}R-squared{col 67}= {res}    0.0978
{txt}{col 49}Adj R-squared{col 67}= {res}    0.0950
{txt}{col 49}Root MSE{col 67}= {res}    0.3521

{txt}{ralign 78:(Std. Err. adjusted for {res:187} clusters in hc_id)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}e_treatq~l_z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2} .0702541{col 26}{space 2} .0263569{col 37}{space 1}    2.67{col 46}{space 3}0.008{col 54}{space 4} .0182572{col 67}{space 3}  .122251
{txt}b_treatq~l_z {c |}{col 14}{res}{space 2} .0975202{col 26}{space 2} .0201453{col 37}{space 1}    4.84{col 46}{space 3}0.000{col 54}{space 4} .0577777{col 67}{space 3} .1372628
{txt}b_trea~l_z_d {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 1}c_tfull_hc2 {c |}{col 14}{res}{space 2}-.0364872{col 26}{space 2} .0302334{col 37}{space 1}   -1.21{col 46}{space 3}0.229{col 54}{space 4}-.0961317{col 67}{space 3} .0231573
{txt}c_tfull_b_~l {c |}{col 14}{res}{space 2} .0347704{col 26}{space 2} .0357458{col 37}{space 1}    0.97{col 46}{space 3}0.332{col 54}{space 4}-.0357489{col 67}{space 3} .1052897
{txt}c_tfull_b_~s {c |}{col 14}{res}{space 2} .0245656{col 26}{space 2}  .041264{col 37}{space 1}    0.60{col 46}{space 3}0.552{col 54}{space 4}-.0568401{col 67}{space 3} .1059713
{txt}c_tfull_b_~d {c |}{col 14}{res}{space 2} .0272133{col 26}{space 2} .0158992{col 37}{space 1}    1.71{col 46}{space 3}0.089{col 54}{space 4}-.0041525{col 67}{space 3} .0585792
{txt}c_tfull_ed~r {c |}{col 14}{res}{space 2}-.0016339{col 26}{space 2} .0011181{col 37}{space 1}   -1.46{col 46}{space 3}0.146{col 54}{space 4}-.0038397{col 67}{space 3} .0005718
{txt}c_tfull_b_~x {c |}{col 14}{res}{space 2}-.0095979{col 26}{space 2} .0053077{col 37}{space 1}   -1.81{col 46}{space 3}0.072{col 54}{space 4} -.020069{col 67}{space 3} .0008732
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} .0005086{col 26}{space 2}  .020236{col 37}{space 1}    0.03{col 46}{space 3}0.980{col 54}{space 4}-.0394129{col 67}{space 3} .0404301
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull = .086{p_end}

{txt}       F(  1,   186) ={res}    0.36
{txt}{col 13}Prob > F ={res}    0.5510

{p 0 7}{space 1}{text:( 1)}{space 1} treatfull = -.086{p_end}

{txt}       F(  1,   186) ={res}   35.15
{txt}{col 13}Prob > F ={res}    0.0000
{txt}note: b_treatqual_z_d omitted because of collinearity
{res}
{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}     7,288
{txt}{col 49}F({res}   8{txt},{res}    186{txt}){col 67}= {res}      6.45
{txt}{col 49}Prob > F{col 67}= {res}    0.0000
{txt}{col 49}R-squared{col 67}= {res}    0.0978
{txt}{col 49}Adj R-squared{col 67}= {res}    0.0950
{txt}{col 49}Root MSE{col 67}= {res}    0.3521

{txt}{ralign 78:(Std. Err. adjusted for {res:187} clusters in hc_id)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}e_treatq~l_z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2} .0702541{col 26}{space 2} .0263569{col 37}{space 1}    2.67{col 46}{space 3}0.008{col 54}{space 4} .0182572{col 67}{space 3}  .122251
{txt}b_treatq~l_z {c |}{col 14}{res}{space 2} .0975202{col 26}{space 2} .0201453{col 37}{space 1}    4.84{col 46}{space 3}0.000{col 54}{space 4} .0577777{col 67}{space 3} .1372628
{txt}b_trea~l_z_d {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 1}c_tfull_hc2 {c |}{col 14}{res}{space 2}-.0364872{col 26}{space 2} .0302334{col 37}{space 1}   -1.21{col 46}{space 3}0.229{col 54}{space 4}-.0961317{col 67}{space 3} .0231573
{txt}c_tfull_b_~l {c |}{col 14}{res}{space 2} .0347704{col 26}{space 2} .0357458{col 37}{space 1}    0.97{col 46}{space 3}0.332{col 54}{space 4}-.0357489{col 67}{space 3} .1052897
{txt}c_tfull_b_~s {c |}{col 14}{res}{space 2} .0245656{col 26}{space 2}  .041264{col 37}{space 1}    0.60{col 46}{space 3}0.552{col 54}{space 4}-.0568401{col 67}{space 3} .1059713
{txt}c_tfull_b_~d {c |}{col 14}{res}{space 2} .0272133{col 26}{space 2} .0158992{col 37}{space 1}    1.71{col 46}{space 3}0.089{col 54}{space 4}-.0041525{col 67}{space 3} .0585792
{txt}c_tfull_ed~r {c |}{col 14}{res}{space 2}-.0016339{col 26}{space 2} .0011181{col 37}{space 1}   -1.46{col 46}{space 3}0.146{col 54}{space 4}-.0038397{col 67}{space 3} .0005718
{txt}c_tfull_b_~x {c |}{col 14}{res}{space 2}-.0095979{col 26}{space 2} .0053077{col 37}{space 1}   -1.81{col 46}{space 3}0.072{col 54}{space 4} -.020069{col 67}{space 3} .0008732
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} .0005086{col 26}{space 2}  .020236{col 37}{space 1}    0.03{col 46}{space 3}0.980{col 54}{space 4}-.0394129{col 67}{space 3} .0404301
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull = .087{p_end}

{txt}       F(  1,   186) ={res}    0.40
{txt}{col 13}Prob > F ={res}    0.5260

{p 0 7}{space 1}{text:( 1)}{space 1} treatfull = -.087{p_end}

{txt}       F(  1,   186) ={res}   35.60
{txt}{col 13}Prob > F ={res}    0.0000
{txt}note: b_treatqual_z_d omitted because of collinearity
{res}
{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}     7,288
{txt}{col 49}F({res}   8{txt},{res}    186{txt}){col 67}= {res}      6.45
{txt}{col 49}Prob > F{col 67}= {res}    0.0000
{txt}{col 49}R-squared{col 67}= {res}    0.0978
{txt}{col 49}Adj R-squared{col 67}= {res}    0.0950
{txt}{col 49}Root MSE{col 67}= {res}    0.3521

{txt}{ralign 78:(Std. Err. adjusted for {res:187} clusters in hc_id)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}e_treatq~l_z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2} .0702541{col 26}{space 2} .0263569{col 37}{space 1}    2.67{col 46}{space 3}0.008{col 54}{space 4} .0182572{col 67}{space 3}  .122251
{txt}b_treatq~l_z {c |}{col 14}{res}{space 2} .0975202{col 26}{space 2} .0201453{col 37}{space 1}    4.84{col 46}{space 3}0.000{col 54}{space 4} .0577777{col 67}{space 3} .1372628
{txt}b_trea~l_z_d {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 1}c_tfull_hc2 {c |}{col 14}{res}{space 2}-.0364872{col 26}{space 2} .0302334{col 37}{space 1}   -1.21{col 46}{space 3}0.229{col 54}{space 4}-.0961317{col 67}{space 3} .0231573
{txt}c_tfull_b_~l {c |}{col 14}{res}{space 2} .0347704{col 26}{space 2} .0357458{col 37}{space 1}    0.97{col 46}{space 3}0.332{col 54}{space 4}-.0357489{col 67}{space 3} .1052897
{txt}c_tfull_b_~s {c |}{col 14}{res}{space 2} .0245656{col 26}{space 2}  .041264{col 37}{space 1}    0.60{col 46}{space 3}0.552{col 54}{space 4}-.0568401{col 67}{space 3} .1059713
{txt}c_tfull_b_~d {c |}{col 14}{res}{space 2} .0272133{col 26}{space 2} .0158992{col 37}{space 1}    1.71{col 46}{space 3}0.089{col 54}{space 4}-.0041525{col 67}{space 3} .0585792
{txt}c_tfull_ed~r {c |}{col 14}{res}{space 2}-.0016339{col 26}{space 2} .0011181{col 37}{space 1}   -1.46{col 46}{space 3}0.146{col 54}{space 4}-.0038397{col 67}{space 3} .0005718
{txt}c_tfull_b_~x {c |}{col 14}{res}{space 2}-.0095979{col 26}{space 2} .0053077{col 37}{space 1}   -1.81{col 46}{space 3}0.072{col 54}{space 4} -.020069{col 67}{space 3} .0008732
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} .0005086{col 26}{space 2}  .020236{col 37}{space 1}    0.03{col 46}{space 3}0.980{col 54}{space 4}-.0394129{col 67}{space 3} .0404301
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull = .088{p_end}

{txt}       F(  1,   186) ={res}    0.45
{txt}{col 13}Prob > F ={res}    0.5016

{p 0 7}{space 1}{text:( 1)}{space 1} treatfull = -.088{p_end}

{txt}       F(  1,   186) ={res}   36.05
{txt}{col 13}Prob > F ={res}    0.0000
{txt}note: b_treatqual_z_d omitted because of collinearity
{res}
{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}     7,288
{txt}{col 49}F({res}   8{txt},{res}    186{txt}){col 67}= {res}      6.45
{txt}{col 49}Prob > F{col 67}= {res}    0.0000
{txt}{col 49}R-squared{col 67}= {res}    0.0978
{txt}{col 49}Adj R-squared{col 67}= {res}    0.0950
{txt}{col 49}Root MSE{col 67}= {res}    0.3521

{txt}{ralign 78:(Std. Err. adjusted for {res:187} clusters in hc_id)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}e_treatq~l_z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2} .0702541{col 26}{space 2} .0263569{col 37}{space 1}    2.67{col 46}{space 3}0.008{col 54}{space 4} .0182572{col 67}{space 3}  .122251
{txt}b_treatq~l_z {c |}{col 14}{res}{space 2} .0975202{col 26}{space 2} .0201453{col 37}{space 1}    4.84{col 46}{space 3}0.000{col 54}{space 4} .0577777{col 67}{space 3} .1372628
{txt}b_trea~l_z_d {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 1}c_tfull_hc2 {c |}{col 14}{res}{space 2}-.0364872{col 26}{space 2} .0302334{col 37}{space 1}   -1.21{col 46}{space 3}0.229{col 54}{space 4}-.0961317{col 67}{space 3} .0231573
{txt}c_tfull_b_~l {c |}{col 14}{res}{space 2} .0347704{col 26}{space 2} .0357458{col 37}{space 1}    0.97{col 46}{space 3}0.332{col 54}{space 4}-.0357489{col 67}{space 3} .1052897
{txt}c_tfull_b_~s {c |}{col 14}{res}{space 2} .0245656{col 26}{space 2}  .041264{col 37}{space 1}    0.60{col 46}{space 3}0.552{col 54}{space 4}-.0568401{col 67}{space 3} .1059713
{txt}c_tfull_b_~d {c |}{col 14}{res}{space 2} .0272133{col 26}{space 2} .0158992{col 37}{space 1}    1.71{col 46}{space 3}0.089{col 54}{space 4}-.0041525{col 67}{space 3} .0585792
{txt}c_tfull_ed~r {c |}{col 14}{res}{space 2}-.0016339{col 26}{space 2} .0011181{col 37}{space 1}   -1.46{col 46}{space 3}0.146{col 54}{space 4}-.0038397{col 67}{space 3} .0005718
{txt}c_tfull_b_~x {c |}{col 14}{res}{space 2}-.0095979{col 26}{space 2} .0053077{col 37}{space 1}   -1.81{col 46}{space 3}0.072{col 54}{space 4} -.020069{col 67}{space 3} .0008732
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} .0005086{col 26}{space 2}  .020236{col 37}{space 1}    0.03{col 46}{space 3}0.980{col 54}{space 4}-.0394129{col 67}{space 3} .0404301
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull = .089{p_end}

{txt}       F(  1,   186) ={res}    0.51
{txt}{col 13}Prob > F ={res}    0.4778

{p 0 7}{space 1}{text:( 1)}{space 1} treatfull = -.089{p_end}

{txt}       F(  1,   186) ={res}   36.51
{txt}{col 13}Prob > F ={res}    0.0000
{txt}note: b_treatqual_z_d omitted because of collinearity
{res}
{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}     7,288
{txt}{col 49}F({res}   8{txt},{res}    186{txt}){col 67}= {res}      6.45
{txt}{col 49}Prob > F{col 67}= {res}    0.0000
{txt}{col 49}R-squared{col 67}= {res}    0.0978
{txt}{col 49}Adj R-squared{col 67}= {res}    0.0950
{txt}{col 49}Root MSE{col 67}= {res}    0.3521

{txt}{ralign 78:(Std. Err. adjusted for {res:187} clusters in hc_id)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}e_treatq~l_z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2} .0702541{col 26}{space 2} .0263569{col 37}{space 1}    2.67{col 46}{space 3}0.008{col 54}{space 4} .0182572{col 67}{space 3}  .122251
{txt}b_treatq~l_z {c |}{col 14}{res}{space 2} .0975202{col 26}{space 2} .0201453{col 37}{space 1}    4.84{col 46}{space 3}0.000{col 54}{space 4} .0577777{col 67}{space 3} .1372628
{txt}b_trea~l_z_d {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 1}c_tfull_hc2 {c |}{col 14}{res}{space 2}-.0364872{col 26}{space 2} .0302334{col 37}{space 1}   -1.21{col 46}{space 3}0.229{col 54}{space 4}-.0961317{col 67}{space 3} .0231573
{txt}c_tfull_b_~l {c |}{col 14}{res}{space 2} .0347704{col 26}{space 2} .0357458{col 37}{space 1}    0.97{col 46}{space 3}0.332{col 54}{space 4}-.0357489{col 67}{space 3} .1052897
{txt}c_tfull_b_~s {c |}{col 14}{res}{space 2} .0245656{col 26}{space 2}  .041264{col 37}{space 1}    0.60{col 46}{space 3}0.552{col 54}{space 4}-.0568401{col 67}{space 3} .1059713
{txt}c_tfull_b_~d {c |}{col 14}{res}{space 2} .0272133{col 26}{space 2} .0158992{col 37}{space 1}    1.71{col 46}{space 3}0.089{col 54}{space 4}-.0041525{col 67}{space 3} .0585792
{txt}c_tfull_ed~r {c |}{col 14}{res}{space 2}-.0016339{col 26}{space 2} .0011181{col 37}{space 1}   -1.46{col 46}{space 3}0.146{col 54}{space 4}-.0038397{col 67}{space 3} .0005718
{txt}c_tfull_b_~x {c |}{col 14}{res}{space 2}-.0095979{col 26}{space 2} .0053077{col 37}{space 1}   -1.81{col 46}{space 3}0.072{col 54}{space 4} -.020069{col 67}{space 3} .0008732
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} .0005086{col 26}{space 2}  .020236{col 37}{space 1}    0.03{col 46}{space 3}0.980{col 54}{space 4}-.0394129{col 67}{space 3} .0404301
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull = .09{p_end}

{txt}       F(  1,   186) ={res}    0.56
{txt}{col 13}Prob > F ={res}    0.4547

{p 0 7}{space 1}{text:( 1)}{space 1} treatfull = -.09{p_end}

{txt}       F(  1,   186) ={res}   36.97
{txt}{col 13}Prob > F ={res}    0.0000
{txt}note: b_treatqual_z_d omitted because of collinearity
{res}
{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}     7,288
{txt}{col 49}F({res}   8{txt},{res}    186{txt}){col 67}= {res}      6.45
{txt}{col 49}Prob > F{col 67}= {res}    0.0000
{txt}{col 49}R-squared{col 67}= {res}    0.0978
{txt}{col 49}Adj R-squared{col 67}= {res}    0.0950
{txt}{col 49}Root MSE{col 67}= {res}    0.3521

{txt}{ralign 78:(Std. Err. adjusted for {res:187} clusters in hc_id)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}e_treatq~l_z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2} .0702541{col 26}{space 2} .0263569{col 37}{space 1}    2.67{col 46}{space 3}0.008{col 54}{space 4} .0182572{col 67}{space 3}  .122251
{txt}b_treatq~l_z {c |}{col 14}{res}{space 2} .0975202{col 26}{space 2} .0201453{col 37}{space 1}    4.84{col 46}{space 3}0.000{col 54}{space 4} .0577777{col 67}{space 3} .1372628
{txt}b_trea~l_z_d {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 1}c_tfull_hc2 {c |}{col 14}{res}{space 2}-.0364872{col 26}{space 2} .0302334{col 37}{space 1}   -1.21{col 46}{space 3}0.229{col 54}{space 4}-.0961317{col 67}{space 3} .0231573
{txt}c_tfull_b_~l {c |}{col 14}{res}{space 2} .0347704{col 26}{space 2} .0357458{col 37}{space 1}    0.97{col 46}{space 3}0.332{col 54}{space 4}-.0357489{col 67}{space 3} .1052897
{txt}c_tfull_b_~s {c |}{col 14}{res}{space 2} .0245656{col 26}{space 2}  .041264{col 37}{space 1}    0.60{col 46}{space 3}0.552{col 54}{space 4}-.0568401{col 67}{space 3} .1059713
{txt}c_tfull_b_~d {c |}{col 14}{res}{space 2} .0272133{col 26}{space 2} .0158992{col 37}{space 1}    1.71{col 46}{space 3}0.089{col 54}{space 4}-.0041525{col 67}{space 3} .0585792
{txt}c_tfull_ed~r {c |}{col 14}{res}{space 2}-.0016339{col 26}{space 2} .0011181{col 37}{space 1}   -1.46{col 46}{space 3}0.146{col 54}{space 4}-.0038397{col 67}{space 3} .0005718
{txt}c_tfull_b_~x {c |}{col 14}{res}{space 2}-.0095979{col 26}{space 2} .0053077{col 37}{space 1}   -1.81{col 46}{space 3}0.072{col 54}{space 4} -.020069{col 67}{space 3} .0008732
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} .0005086{col 26}{space 2}  .020236{col 37}{space 1}    0.03{col 46}{space 3}0.980{col 54}{space 4}-.0394129{col 67}{space 3} .0404301
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull = .091{p_end}

{txt}       F(  1,   186) ={res}    0.62
{txt}{col 13}Prob > F ={res}    0.4322

{p 0 7}{space 1}{text:( 1)}{space 1} treatfull = -.091{p_end}

{txt}       F(  1,   186) ={res}   37.43
{txt}{col 13}Prob > F ={res}    0.0000
{txt}note: b_treatqual_z_d omitted because of collinearity
{res}
{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}     7,288
{txt}{col 49}F({res}   8{txt},{res}    186{txt}){col 67}= {res}      6.45
{txt}{col 49}Prob > F{col 67}= {res}    0.0000
{txt}{col 49}R-squared{col 67}= {res}    0.0978
{txt}{col 49}Adj R-squared{col 67}= {res}    0.0950
{txt}{col 49}Root MSE{col 67}= {res}    0.3521

{txt}{ralign 78:(Std. Err. adjusted for {res:187} clusters in hc_id)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}e_treatq~l_z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2} .0702541{col 26}{space 2} .0263569{col 37}{space 1}    2.67{col 46}{space 3}0.008{col 54}{space 4} .0182572{col 67}{space 3}  .122251
{txt}b_treatq~l_z {c |}{col 14}{res}{space 2} .0975202{col 26}{space 2} .0201453{col 37}{space 1}    4.84{col 46}{space 3}0.000{col 54}{space 4} .0577777{col 67}{space 3} .1372628
{txt}b_trea~l_z_d {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 1}c_tfull_hc2 {c |}{col 14}{res}{space 2}-.0364872{col 26}{space 2} .0302334{col 37}{space 1}   -1.21{col 46}{space 3}0.229{col 54}{space 4}-.0961317{col 67}{space 3} .0231573
{txt}c_tfull_b_~l {c |}{col 14}{res}{space 2} .0347704{col 26}{space 2} .0357458{col 37}{space 1}    0.97{col 46}{space 3}0.332{col 54}{space 4}-.0357489{col 67}{space 3} .1052897
{txt}c_tfull_b_~s {c |}{col 14}{res}{space 2} .0245656{col 26}{space 2}  .041264{col 37}{space 1}    0.60{col 46}{space 3}0.552{col 54}{space 4}-.0568401{col 67}{space 3} .1059713
{txt}c_tfull_b_~d {c |}{col 14}{res}{space 2} .0272133{col 26}{space 2} .0158992{col 37}{space 1}    1.71{col 46}{space 3}0.089{col 54}{space 4}-.0041525{col 67}{space 3} .0585792
{txt}c_tfull_ed~r {c |}{col 14}{res}{space 2}-.0016339{col 26}{space 2} .0011181{col 37}{space 1}   -1.46{col 46}{space 3}0.146{col 54}{space 4}-.0038397{col 67}{space 3} .0005718
{txt}c_tfull_b_~x {c |}{col 14}{res}{space 2}-.0095979{col 26}{space 2} .0053077{col 37}{space 1}   -1.81{col 46}{space 3}0.072{col 54}{space 4} -.020069{col 67}{space 3} .0008732
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} .0005086{col 26}{space 2}  .020236{col 37}{space 1}    0.03{col 46}{space 3}0.980{col 54}{space 4}-.0394129{col 67}{space 3} .0404301
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull = .092{p_end}

{txt}       F(  1,   186) ={res}    0.68
{txt}{col 13}Prob > F ={res}    0.4104

{p 0 7}{space 1}{text:( 1)}{space 1} treatfull = -.092{p_end}

{txt}       F(  1,   186) ={res}   37.90
{txt}{col 13}Prob > F ={res}    0.0000
{txt}note: b_treatqual_z_d omitted because of collinearity
{res}
{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}     7,288
{txt}{col 49}F({res}   8{txt},{res}    186{txt}){col 67}= {res}      6.45
{txt}{col 49}Prob > F{col 67}= {res}    0.0000
{txt}{col 49}R-squared{col 67}= {res}    0.0978
{txt}{col 49}Adj R-squared{col 67}= {res}    0.0950
{txt}{col 49}Root MSE{col 67}= {res}    0.3521

{txt}{ralign 78:(Std. Err. adjusted for {res:187} clusters in hc_id)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}e_treatq~l_z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2} .0702541{col 26}{space 2} .0263569{col 37}{space 1}    2.67{col 46}{space 3}0.008{col 54}{space 4} .0182572{col 67}{space 3}  .122251
{txt}b_treatq~l_z {c |}{col 14}{res}{space 2} .0975202{col 26}{space 2} .0201453{col 37}{space 1}    4.84{col 46}{space 3}0.000{col 54}{space 4} .0577777{col 67}{space 3} .1372628
{txt}b_trea~l_z_d {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 1}c_tfull_hc2 {c |}{col 14}{res}{space 2}-.0364872{col 26}{space 2} .0302334{col 37}{space 1}   -1.21{col 46}{space 3}0.229{col 54}{space 4}-.0961317{col 67}{space 3} .0231573
{txt}c_tfull_b_~l {c |}{col 14}{res}{space 2} .0347704{col 26}{space 2} .0357458{col 37}{space 1}    0.97{col 46}{space 3}0.332{col 54}{space 4}-.0357489{col 67}{space 3} .1052897
{txt}c_tfull_b_~s {c |}{col 14}{res}{space 2} .0245656{col 26}{space 2}  .041264{col 37}{space 1}    0.60{col 46}{space 3}0.552{col 54}{space 4}-.0568401{col 67}{space 3} .1059713
{txt}c_tfull_b_~d {c |}{col 14}{res}{space 2} .0272133{col 26}{space 2} .0158992{col 37}{space 1}    1.71{col 46}{space 3}0.089{col 54}{space 4}-.0041525{col 67}{space 3} .0585792
{txt}c_tfull_ed~r {c |}{col 14}{res}{space 2}-.0016339{col 26}{space 2} .0011181{col 37}{space 1}   -1.46{col 46}{space 3}0.146{col 54}{space 4}-.0038397{col 67}{space 3} .0005718
{txt}c_tfull_b_~x {c |}{col 14}{res}{space 2}-.0095979{col 26}{space 2} .0053077{col 37}{space 1}   -1.81{col 46}{space 3}0.072{col 54}{space 4} -.020069{col 67}{space 3} .0008732
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} .0005086{col 26}{space 2}  .020236{col 37}{space 1}    0.03{col 46}{space 3}0.980{col 54}{space 4}-.0394129{col 67}{space 3} .0404301
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull = .093{p_end}

{txt}       F(  1,   186) ={res}    0.74
{txt}{col 13}Prob > F ={res}    0.3893

{p 0 7}{space 1}{text:( 1)}{space 1} treatfull = -.093{p_end}

{txt}       F(  1,   186) ={res}   38.37
{txt}{col 13}Prob > F ={res}    0.0000
{txt}note: b_treatqual_z_d omitted because of collinearity
{res}
{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}     7,288
{txt}{col 49}F({res}   8{txt},{res}    186{txt}){col 67}= {res}      6.45
{txt}{col 49}Prob > F{col 67}= {res}    0.0000
{txt}{col 49}R-squared{col 67}= {res}    0.0978
{txt}{col 49}Adj R-squared{col 67}= {res}    0.0950
{txt}{col 49}Root MSE{col 67}= {res}    0.3521

{txt}{ralign 78:(Std. Err. adjusted for {res:187} clusters in hc_id)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}e_treatq~l_z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2} .0702541{col 26}{space 2} .0263569{col 37}{space 1}    2.67{col 46}{space 3}0.008{col 54}{space 4} .0182572{col 67}{space 3}  .122251
{txt}b_treatq~l_z {c |}{col 14}{res}{space 2} .0975202{col 26}{space 2} .0201453{col 37}{space 1}    4.84{col 46}{space 3}0.000{col 54}{space 4} .0577777{col 67}{space 3} .1372628
{txt}b_trea~l_z_d {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 1}c_tfull_hc2 {c |}{col 14}{res}{space 2}-.0364872{col 26}{space 2} .0302334{col 37}{space 1}   -1.21{col 46}{space 3}0.229{col 54}{space 4}-.0961317{col 67}{space 3} .0231573
{txt}c_tfull_b_~l {c |}{col 14}{res}{space 2} .0347704{col 26}{space 2} .0357458{col 37}{space 1}    0.97{col 46}{space 3}0.332{col 54}{space 4}-.0357489{col 67}{space 3} .1052897
{txt}c_tfull_b_~s {c |}{col 14}{res}{space 2} .0245656{col 26}{space 2}  .041264{col 37}{space 1}    0.60{col 46}{space 3}0.552{col 54}{space 4}-.0568401{col 67}{space 3} .1059713
{txt}c_tfull_b_~d {c |}{col 14}{res}{space 2} .0272133{col 26}{space 2} .0158992{col 37}{space 1}    1.71{col 46}{space 3}0.089{col 54}{space 4}-.0041525{col 67}{space 3} .0585792
{txt}c_tfull_ed~r {c |}{col 14}{res}{space 2}-.0016339{col 26}{space 2} .0011181{col 37}{space 1}   -1.46{col 46}{space 3}0.146{col 54}{space 4}-.0038397{col 67}{space 3} .0005718
{txt}c_tfull_b_~x {c |}{col 14}{res}{space 2}-.0095979{col 26}{space 2} .0053077{col 37}{space 1}   -1.81{col 46}{space 3}0.072{col 54}{space 4} -.020069{col 67}{space 3} .0008732
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} .0005086{col 26}{space 2}  .020236{col 37}{space 1}    0.03{col 46}{space 3}0.980{col 54}{space 4}-.0394129{col 67}{space 3} .0404301
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull = .094{p_end}

{txt}       F(  1,   186) ={res}    0.81
{txt}{col 13}Prob > F ={res}    0.3688

{p 0 7}{space 1}{text:( 1)}{space 1} treatfull = -.094{p_end}

{txt}       F(  1,   186) ={res}   38.84
{txt}{col 13}Prob > F ={res}    0.0000
{txt}note: b_treatqual_z_d omitted because of collinearity
{res}
{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}     7,288
{txt}{col 49}F({res}   8{txt},{res}    186{txt}){col 67}= {res}      6.45
{txt}{col 49}Prob > F{col 67}= {res}    0.0000
{txt}{col 49}R-squared{col 67}= {res}    0.0978
{txt}{col 49}Adj R-squared{col 67}= {res}    0.0950
{txt}{col 49}Root MSE{col 67}= {res}    0.3521

{txt}{ralign 78:(Std. Err. adjusted for {res:187} clusters in hc_id)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}e_treatq~l_z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2} .0702541{col 26}{space 2} .0263569{col 37}{space 1}    2.67{col 46}{space 3}0.008{col 54}{space 4} .0182572{col 67}{space 3}  .122251
{txt}b_treatq~l_z {c |}{col 14}{res}{space 2} .0975202{col 26}{space 2} .0201453{col 37}{space 1}    4.84{col 46}{space 3}0.000{col 54}{space 4} .0577777{col 67}{space 3} .1372628
{txt}b_trea~l_z_d {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 1}c_tfull_hc2 {c |}{col 14}{res}{space 2}-.0364872{col 26}{space 2} .0302334{col 37}{space 1}   -1.21{col 46}{space 3}0.229{col 54}{space 4}-.0961317{col 67}{space 3} .0231573
{txt}c_tfull_b_~l {c |}{col 14}{res}{space 2} .0347704{col 26}{space 2} .0357458{col 37}{space 1}    0.97{col 46}{space 3}0.332{col 54}{space 4}-.0357489{col 67}{space 3} .1052897
{txt}c_tfull_b_~s {c |}{col 14}{res}{space 2} .0245656{col 26}{space 2}  .041264{col 37}{space 1}    0.60{col 46}{space 3}0.552{col 54}{space 4}-.0568401{col 67}{space 3} .1059713
{txt}c_tfull_b_~d {c |}{col 14}{res}{space 2} .0272133{col 26}{space 2} .0158992{col 37}{space 1}    1.71{col 46}{space 3}0.089{col 54}{space 4}-.0041525{col 67}{space 3} .0585792
{txt}c_tfull_ed~r {c |}{col 14}{res}{space 2}-.0016339{col 26}{space 2} .0011181{col 37}{space 1}   -1.46{col 46}{space 3}0.146{col 54}{space 4}-.0038397{col 67}{space 3} .0005718
{txt}c_tfull_b_~x {c |}{col 14}{res}{space 2}-.0095979{col 26}{space 2} .0053077{col 37}{space 1}   -1.81{col 46}{space 3}0.072{col 54}{space 4} -.020069{col 67}{space 3} .0008732
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} .0005086{col 26}{space 2}  .020236{col 37}{space 1}    0.03{col 46}{space 3}0.980{col 54}{space 4}-.0394129{col 67}{space 3} .0404301
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull = .095{p_end}

{txt}       F(  1,   186) ={res}    0.88
{txt}{col 13}Prob > F ={res}    0.3490

{p 0 7}{space 1}{text:( 1)}{space 1} treatfull = -.095{p_end}

{txt}       F(  1,   186) ={res}   39.31
{txt}{col 13}Prob > F ={res}    0.0000
{txt}note: b_treatqual_z_d omitted because of collinearity
{res}
{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}     7,288
{txt}{col 49}F({res}   8{txt},{res}    186{txt}){col 67}= {res}      6.45
{txt}{col 49}Prob > F{col 67}= {res}    0.0000
{txt}{col 49}R-squared{col 67}= {res}    0.0978
{txt}{col 49}Adj R-squared{col 67}= {res}    0.0950
{txt}{col 49}Root MSE{col 67}= {res}    0.3521

{txt}{ralign 78:(Std. Err. adjusted for {res:187} clusters in hc_id)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}e_treatq~l_z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2} .0702541{col 26}{space 2} .0263569{col 37}{space 1}    2.67{col 46}{space 3}0.008{col 54}{space 4} .0182572{col 67}{space 3}  .122251
{txt}b_treatq~l_z {c |}{col 14}{res}{space 2} .0975202{col 26}{space 2} .0201453{col 37}{space 1}    4.84{col 46}{space 3}0.000{col 54}{space 4} .0577777{col 67}{space 3} .1372628
{txt}b_trea~l_z_d {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 1}c_tfull_hc2 {c |}{col 14}{res}{space 2}-.0364872{col 26}{space 2} .0302334{col 37}{space 1}   -1.21{col 46}{space 3}0.229{col 54}{space 4}-.0961317{col 67}{space 3} .0231573
{txt}c_tfull_b_~l {c |}{col 14}{res}{space 2} .0347704{col 26}{space 2} .0357458{col 37}{space 1}    0.97{col 46}{space 3}0.332{col 54}{space 4}-.0357489{col 67}{space 3} .1052897
{txt}c_tfull_b_~s {c |}{col 14}{res}{space 2} .0245656{col 26}{space 2}  .041264{col 37}{space 1}    0.60{col 46}{space 3}0.552{col 54}{space 4}-.0568401{col 67}{space 3} .1059713
{txt}c_tfull_b_~d {c |}{col 14}{res}{space 2} .0272133{col 26}{space 2} .0158992{col 37}{space 1}    1.71{col 46}{space 3}0.089{col 54}{space 4}-.0041525{col 67}{space 3} .0585792
{txt}c_tfull_ed~r {c |}{col 14}{res}{space 2}-.0016339{col 26}{space 2} .0011181{col 37}{space 1}   -1.46{col 46}{space 3}0.146{col 54}{space 4}-.0038397{col 67}{space 3} .0005718
{txt}c_tfull_b_~x {c |}{col 14}{res}{space 2}-.0095979{col 26}{space 2} .0053077{col 37}{space 1}   -1.81{col 46}{space 3}0.072{col 54}{space 4} -.020069{col 67}{space 3} .0008732
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} .0005086{col 26}{space 2}  .020236{col 37}{space 1}    0.03{col 46}{space 3}0.980{col 54}{space 4}-.0394129{col 67}{space 3} .0404301
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull = .096{p_end}

{txt}       F(  1,   186) ={res}    0.95
{txt}{col 13}Prob > F ={res}    0.3299

{p 0 7}{space 1}{text:( 1)}{space 1} treatfull = -.096{p_end}

{txt}       F(  1,   186) ={res}   39.79
{txt}{col 13}Prob > F ={res}    0.0000
{txt}note: b_treatqual_z_d omitted because of collinearity
{res}
{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}     7,288
{txt}{col 49}F({res}   8{txt},{res}    186{txt}){col 67}= {res}      6.45
{txt}{col 49}Prob > F{col 67}= {res}    0.0000
{txt}{col 49}R-squared{col 67}= {res}    0.0978
{txt}{col 49}Adj R-squared{col 67}= {res}    0.0950
{txt}{col 49}Root MSE{col 67}= {res}    0.3521

{txt}{ralign 78:(Std. Err. adjusted for {res:187} clusters in hc_id)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}e_treatq~l_z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2} .0702541{col 26}{space 2} .0263569{col 37}{space 1}    2.67{col 46}{space 3}0.008{col 54}{space 4} .0182572{col 67}{space 3}  .122251
{txt}b_treatq~l_z {c |}{col 14}{res}{space 2} .0975202{col 26}{space 2} .0201453{col 37}{space 1}    4.84{col 46}{space 3}0.000{col 54}{space 4} .0577777{col 67}{space 3} .1372628
{txt}b_trea~l_z_d {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 1}c_tfull_hc2 {c |}{col 14}{res}{space 2}-.0364872{col 26}{space 2} .0302334{col 37}{space 1}   -1.21{col 46}{space 3}0.229{col 54}{space 4}-.0961317{col 67}{space 3} .0231573
{txt}c_tfull_b_~l {c |}{col 14}{res}{space 2} .0347704{col 26}{space 2} .0357458{col 37}{space 1}    0.97{col 46}{space 3}0.332{col 54}{space 4}-.0357489{col 67}{space 3} .1052897
{txt}c_tfull_b_~s {c |}{col 14}{res}{space 2} .0245656{col 26}{space 2}  .041264{col 37}{space 1}    0.60{col 46}{space 3}0.552{col 54}{space 4}-.0568401{col 67}{space 3} .1059713
{txt}c_tfull_b_~d {c |}{col 14}{res}{space 2} .0272133{col 26}{space 2} .0158992{col 37}{space 1}    1.71{col 46}{space 3}0.089{col 54}{space 4}-.0041525{col 67}{space 3} .0585792
{txt}c_tfull_ed~r {c |}{col 14}{res}{space 2}-.0016339{col 26}{space 2} .0011181{col 37}{space 1}   -1.46{col 46}{space 3}0.146{col 54}{space 4}-.0038397{col 67}{space 3} .0005718
{txt}c_tfull_b_~x {c |}{col 14}{res}{space 2}-.0095979{col 26}{space 2} .0053077{col 37}{space 1}   -1.81{col 46}{space 3}0.072{col 54}{space 4} -.020069{col 67}{space 3} .0008732
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} .0005086{col 26}{space 2}  .020236{col 37}{space 1}    0.03{col 46}{space 3}0.980{col 54}{space 4}-.0394129{col 67}{space 3} .0404301
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull = .097{p_end}

{txt}       F(  1,   186) ={res}    1.03
{txt}{col 13}Prob > F ={res}    0.3115

{p 0 7}{space 1}{text:( 1)}{space 1} treatfull = -.097{p_end}

{txt}       F(  1,   186) ={res}   40.27
{txt}{col 13}Prob > F ={res}    0.0000
{txt}note: b_treatqual_z_d omitted because of collinearity
{res}
{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}     7,288
{txt}{col 49}F({res}   8{txt},{res}    186{txt}){col 67}= {res}      6.45
{txt}{col 49}Prob > F{col 67}= {res}    0.0000
{txt}{col 49}R-squared{col 67}= {res}    0.0978
{txt}{col 49}Adj R-squared{col 67}= {res}    0.0950
{txt}{col 49}Root MSE{col 67}= {res}    0.3521

{txt}{ralign 78:(Std. Err. adjusted for {res:187} clusters in hc_id)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}e_treatq~l_z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2} .0702541{col 26}{space 2} .0263569{col 37}{space 1}    2.67{col 46}{space 3}0.008{col 54}{space 4} .0182572{col 67}{space 3}  .122251
{txt}b_treatq~l_z {c |}{col 14}{res}{space 2} .0975202{col 26}{space 2} .0201453{col 37}{space 1}    4.84{col 46}{space 3}0.000{col 54}{space 4} .0577777{col 67}{space 3} .1372628
{txt}b_trea~l_z_d {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 1}c_tfull_hc2 {c |}{col 14}{res}{space 2}-.0364872{col 26}{space 2} .0302334{col 37}{space 1}   -1.21{col 46}{space 3}0.229{col 54}{space 4}-.0961317{col 67}{space 3} .0231573
{txt}c_tfull_b_~l {c |}{col 14}{res}{space 2} .0347704{col 26}{space 2} .0357458{col 37}{space 1}    0.97{col 46}{space 3}0.332{col 54}{space 4}-.0357489{col 67}{space 3} .1052897
{txt}c_tfull_b_~s {c |}{col 14}{res}{space 2} .0245656{col 26}{space 2}  .041264{col 37}{space 1}    0.60{col 46}{space 3}0.552{col 54}{space 4}-.0568401{col 67}{space 3} .1059713
{txt}c_tfull_b_~d {c |}{col 14}{res}{space 2} .0272133{col 26}{space 2} .0158992{col 37}{space 1}    1.71{col 46}{space 3}0.089{col 54}{space 4}-.0041525{col 67}{space 3} .0585792
{txt}c_tfull_ed~r {c |}{col 14}{res}{space 2}-.0016339{col 26}{space 2} .0011181{col 37}{space 1}   -1.46{col 46}{space 3}0.146{col 54}{space 4}-.0038397{col 67}{space 3} .0005718
{txt}c_tfull_b_~x {c |}{col 14}{res}{space 2}-.0095979{col 26}{space 2} .0053077{col 37}{space 1}   -1.81{col 46}{space 3}0.072{col 54}{space 4} -.020069{col 67}{space 3} .0008732
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} .0005086{col 26}{space 2}  .020236{col 37}{space 1}    0.03{col 46}{space 3}0.980{col 54}{space 4}-.0394129{col 67}{space 3} .0404301
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull = .098{p_end}

{txt}       F(  1,   186) ={res}    1.11
{txt}{col 13}Prob > F ={res}    0.2938

{p 0 7}{space 1}{text:( 1)}{space 1} treatfull = -.098{p_end}

{txt}       F(  1,   186) ={res}   40.75
{txt}{col 13}Prob > F ={res}    0.0000
{txt}note: b_treatqual_z_d omitted because of collinearity
{res}
{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}     7,288
{txt}{col 49}F({res}   8{txt},{res}    186{txt}){col 67}= {res}      6.45
{txt}{col 49}Prob > F{col 67}= {res}    0.0000
{txt}{col 49}R-squared{col 67}= {res}    0.0978
{txt}{col 49}Adj R-squared{col 67}= {res}    0.0950
{txt}{col 49}Root MSE{col 67}= {res}    0.3521

{txt}{ralign 78:(Std. Err. adjusted for {res:187} clusters in hc_id)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}e_treatq~l_z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2} .0702541{col 26}{space 2} .0263569{col 37}{space 1}    2.67{col 46}{space 3}0.008{col 54}{space 4} .0182572{col 67}{space 3}  .122251
{txt}b_treatq~l_z {c |}{col 14}{res}{space 2} .0975202{col 26}{space 2} .0201453{col 37}{space 1}    4.84{col 46}{space 3}0.000{col 54}{space 4} .0577777{col 67}{space 3} .1372628
{txt}b_trea~l_z_d {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 1}c_tfull_hc2 {c |}{col 14}{res}{space 2}-.0364872{col 26}{space 2} .0302334{col 37}{space 1}   -1.21{col 46}{space 3}0.229{col 54}{space 4}-.0961317{col 67}{space 3} .0231573
{txt}c_tfull_b_~l {c |}{col 14}{res}{space 2} .0347704{col 26}{space 2} .0357458{col 37}{space 1}    0.97{col 46}{space 3}0.332{col 54}{space 4}-.0357489{col 67}{space 3} .1052897
{txt}c_tfull_b_~s {c |}{col 14}{res}{space 2} .0245656{col 26}{space 2}  .041264{col 37}{space 1}    0.60{col 46}{space 3}0.552{col 54}{space 4}-.0568401{col 67}{space 3} .1059713
{txt}c_tfull_b_~d {c |}{col 14}{res}{space 2} .0272133{col 26}{space 2} .0158992{col 37}{space 1}    1.71{col 46}{space 3}0.089{col 54}{space 4}-.0041525{col 67}{space 3} .0585792
{txt}c_tfull_ed~r {c |}{col 14}{res}{space 2}-.0016339{col 26}{space 2} .0011181{col 37}{space 1}   -1.46{col 46}{space 3}0.146{col 54}{space 4}-.0038397{col 67}{space 3} .0005718
{txt}c_tfull_b_~x {c |}{col 14}{res}{space 2}-.0095979{col 26}{space 2} .0053077{col 37}{space 1}   -1.81{col 46}{space 3}0.072{col 54}{space 4} -.020069{col 67}{space 3} .0008732
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} .0005086{col 26}{space 2}  .020236{col 37}{space 1}    0.03{col 46}{space 3}0.980{col 54}{space 4}-.0394129{col 67}{space 3} .0404301
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull = .099{p_end}

{txt}       F(  1,   186) ={res}    1.19
{txt}{col 13}Prob > F ={res}    0.2768

{p 0 7}{space 1}{text:( 1)}{space 1} treatfull = -.099{p_end}

{txt}       F(  1,   186) ={res}   41.24
{txt}{col 13}Prob > F ={res}    0.0000
{txt}note: b_treatqual_z_d omitted because of collinearity
{res}
{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}     7,288
{txt}{col 49}F({res}   8{txt},{res}    186{txt}){col 67}= {res}      6.45
{txt}{col 49}Prob > F{col 67}= {res}    0.0000
{txt}{col 49}R-squared{col 67}= {res}    0.0978
{txt}{col 49}Adj R-squared{col 67}= {res}    0.0950
{txt}{col 49}Root MSE{col 67}= {res}    0.3521

{txt}{ralign 78:(Std. Err. adjusted for {res:187} clusters in hc_id)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}e_treatq~l_z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2} .0702541{col 26}{space 2} .0263569{col 37}{space 1}    2.67{col 46}{space 3}0.008{col 54}{space 4} .0182572{col 67}{space 3}  .122251
{txt}b_treatq~l_z {c |}{col 14}{res}{space 2} .0975202{col 26}{space 2} .0201453{col 37}{space 1}    4.84{col 46}{space 3}0.000{col 54}{space 4} .0577777{col 67}{space 3} .1372628
{txt}b_trea~l_z_d {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 1}c_tfull_hc2 {c |}{col 14}{res}{space 2}-.0364872{col 26}{space 2} .0302334{col 37}{space 1}   -1.21{col 46}{space 3}0.229{col 54}{space 4}-.0961317{col 67}{space 3} .0231573
{txt}c_tfull_b_~l {c |}{col 14}{res}{space 2} .0347704{col 26}{space 2} .0357458{col 37}{space 1}    0.97{col 46}{space 3}0.332{col 54}{space 4}-.0357489{col 67}{space 3} .1052897
{txt}c_tfull_b_~s {c |}{col 14}{res}{space 2} .0245656{col 26}{space 2}  .041264{col 37}{space 1}    0.60{col 46}{space 3}0.552{col 54}{space 4}-.0568401{col 67}{space 3} .1059713
{txt}c_tfull_b_~d {c |}{col 14}{res}{space 2} .0272133{col 26}{space 2} .0158992{col 37}{space 1}    1.71{col 46}{space 3}0.089{col 54}{space 4}-.0041525{col 67}{space 3} .0585792
{txt}c_tfull_ed~r {c |}{col 14}{res}{space 2}-.0016339{col 26}{space 2} .0011181{col 37}{space 1}   -1.46{col 46}{space 3}0.146{col 54}{space 4}-.0038397{col 67}{space 3} .0005718
{txt}c_tfull_b_~x {c |}{col 14}{res}{space 2}-.0095979{col 26}{space 2} .0053077{col 37}{space 1}   -1.81{col 46}{space 3}0.072{col 54}{space 4} -.020069{col 67}{space 3} .0008732
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} .0005086{col 26}{space 2}  .020236{col 37}{space 1}    0.03{col 46}{space 3}0.980{col 54}{space 4}-.0394129{col 67}{space 3} .0404301
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull = .1{p_end}

{txt}       F(  1,   186) ={res}    1.27
{txt}{col 13}Prob > F ={res}    0.2605

{p 0 7}{space 1}{text:( 1)}{space 1} treatfull = -.1{p_end}

{txt}       F(  1,   186) ={res}   41.73
{txt}{col 13}Prob > F ={res}    0.0000
{txt}note: b_treatqual_z_d omitted because of collinearity
{res}
{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}     7,288
{txt}{col 49}F({res}   8{txt},{res}    186{txt}){col 67}= {res}      6.45
{txt}{col 49}Prob > F{col 67}= {res}    0.0000
{txt}{col 49}R-squared{col 67}= {res}    0.0978
{txt}{col 49}Adj R-squared{col 67}= {res}    0.0950
{txt}{col 49}Root MSE{col 67}= {res}    0.3521

{txt}{ralign 78:(Std. Err. adjusted for {res:187} clusters in hc_id)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}e_treatq~l_z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2} .0702541{col 26}{space 2} .0263569{col 37}{space 1}    2.67{col 46}{space 3}0.008{col 54}{space 4} .0182572{col 67}{space 3}  .122251
{txt}b_treatq~l_z {c |}{col 14}{res}{space 2} .0975202{col 26}{space 2} .0201453{col 37}{space 1}    4.84{col 46}{space 3}0.000{col 54}{space 4} .0577777{col 67}{space 3} .1372628
{txt}b_trea~l_z_d {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 1}c_tfull_hc2 {c |}{col 14}{res}{space 2}-.0364872{col 26}{space 2} .0302334{col 37}{space 1}   -1.21{col 46}{space 3}0.229{col 54}{space 4}-.0961317{col 67}{space 3} .0231573
{txt}c_tfull_b_~l {c |}{col 14}{res}{space 2} .0347704{col 26}{space 2} .0357458{col 37}{space 1}    0.97{col 46}{space 3}0.332{col 54}{space 4}-.0357489{col 67}{space 3} .1052897
{txt}c_tfull_b_~s {c |}{col 14}{res}{space 2} .0245656{col 26}{space 2}  .041264{col 37}{space 1}    0.60{col 46}{space 3}0.552{col 54}{space 4}-.0568401{col 67}{space 3} .1059713
{txt}c_tfull_b_~d {c |}{col 14}{res}{space 2} .0272133{col 26}{space 2} .0158992{col 37}{space 1}    1.71{col 46}{space 3}0.089{col 54}{space 4}-.0041525{col 67}{space 3} .0585792
{txt}c_tfull_ed~r {c |}{col 14}{res}{space 2}-.0016339{col 26}{space 2} .0011181{col 37}{space 1}   -1.46{col 46}{space 3}0.146{col 54}{space 4}-.0038397{col 67}{space 3} .0005718
{txt}c_tfull_b_~x {c |}{col 14}{res}{space 2}-.0095979{col 26}{space 2} .0053077{col 37}{space 1}   -1.81{col 46}{space 3}0.072{col 54}{space 4} -.020069{col 67}{space 3} .0008732
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} .0005086{col 26}{space 2}  .020236{col 37}{space 1}    0.03{col 46}{space 3}0.980{col 54}{space 4}-.0394129{col 67}{space 3} .0404301
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull = .101{p_end}

{txt}       F(  1,   186) ={res}    1.36
{txt}{col 13}Prob > F ={res}    0.2449

{p 0 7}{space 1}{text:( 1)}{space 1} treatfull = -.101{p_end}

{txt}       F(  1,   186) ={res}   42.22
{txt}{col 13}Prob > F ={res}    0.0000
{txt}note: b_treatqual_z_d omitted because of collinearity
{res}
{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}     7,288
{txt}{col 49}F({res}   8{txt},{res}    186{txt}){col 67}= {res}      6.45
{txt}{col 49}Prob > F{col 67}= {res}    0.0000
{txt}{col 49}R-squared{col 67}= {res}    0.0978
{txt}{col 49}Adj R-squared{col 67}= {res}    0.0950
{txt}{col 49}Root MSE{col 67}= {res}    0.3521

{txt}{ralign 78:(Std. Err. adjusted for {res:187} clusters in hc_id)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}e_treatq~l_z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2} .0702541{col 26}{space 2} .0263569{col 37}{space 1}    2.67{col 46}{space 3}0.008{col 54}{space 4} .0182572{col 67}{space 3}  .122251
{txt}b_treatq~l_z {c |}{col 14}{res}{space 2} .0975202{col 26}{space 2} .0201453{col 37}{space 1}    4.84{col 46}{space 3}0.000{col 54}{space 4} .0577777{col 67}{space 3} .1372628
{txt}b_trea~l_z_d {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 1}c_tfull_hc2 {c |}{col 14}{res}{space 2}-.0364872{col 26}{space 2} .0302334{col 37}{space 1}   -1.21{col 46}{space 3}0.229{col 54}{space 4}-.0961317{col 67}{space 3} .0231573
{txt}c_tfull_b_~l {c |}{col 14}{res}{space 2} .0347704{col 26}{space 2} .0357458{col 37}{space 1}    0.97{col 46}{space 3}0.332{col 54}{space 4}-.0357489{col 67}{space 3} .1052897
{txt}c_tfull_b_~s {c |}{col 14}{res}{space 2} .0245656{col 26}{space 2}  .041264{col 37}{space 1}    0.60{col 46}{space 3}0.552{col 54}{space 4}-.0568401{col 67}{space 3} .1059713
{txt}c_tfull_b_~d {c |}{col 14}{res}{space 2} .0272133{col 26}{space 2} .0158992{col 37}{space 1}    1.71{col 46}{space 3}0.089{col 54}{space 4}-.0041525{col 67}{space 3} .0585792
{txt}c_tfull_ed~r {c |}{col 14}{res}{space 2}-.0016339{col 26}{space 2} .0011181{col 37}{space 1}   -1.46{col 46}{space 3}0.146{col 54}{space 4}-.0038397{col 67}{space 3} .0005718
{txt}c_tfull_b_~x {c |}{col 14}{res}{space 2}-.0095979{col 26}{space 2} .0053077{col 37}{space 1}   -1.81{col 46}{space 3}0.072{col 54}{space 4} -.020069{col 67}{space 3} .0008732
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} .0005086{col 26}{space 2}  .020236{col 37}{space 1}    0.03{col 46}{space 3}0.980{col 54}{space 4}-.0394129{col 67}{space 3} .0404301
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull = .102{p_end}

{txt}       F(  1,   186) ={res}    1.45
{txt}{col 13}Prob > F ={res}    0.2299

{p 0 7}{space 1}{text:( 1)}{space 1} treatfull = -.102{p_end}

{txt}       F(  1,   186) ={res}   42.71
{txt}{col 13}Prob > F ={res}    0.0000
{txt}note: b_treatqual_z_d omitted because of collinearity
{res}
{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}     7,288
{txt}{col 49}F({res}   8{txt},{res}    186{txt}){col 67}= {res}      6.45
{txt}{col 49}Prob > F{col 67}= {res}    0.0000
{txt}{col 49}R-squared{col 67}= {res}    0.0978
{txt}{col 49}Adj R-squared{col 67}= {res}    0.0950
{txt}{col 49}Root MSE{col 67}= {res}    0.3521

{txt}{ralign 78:(Std. Err. adjusted for {res:187} clusters in hc_id)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}e_treatq~l_z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2} .0702541{col 26}{space 2} .0263569{col 37}{space 1}    2.67{col 46}{space 3}0.008{col 54}{space 4} .0182572{col 67}{space 3}  .122251
{txt}b_treatq~l_z {c |}{col 14}{res}{space 2} .0975202{col 26}{space 2} .0201453{col 37}{space 1}    4.84{col 46}{space 3}0.000{col 54}{space 4} .0577777{col 67}{space 3} .1372628
{txt}b_trea~l_z_d {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 1}c_tfull_hc2 {c |}{col 14}{res}{space 2}-.0364872{col 26}{space 2} .0302334{col 37}{space 1}   -1.21{col 46}{space 3}0.229{col 54}{space 4}-.0961317{col 67}{space 3} .0231573
{txt}c_tfull_b_~l {c |}{col 14}{res}{space 2} .0347704{col 26}{space 2} .0357458{col 37}{space 1}    0.97{col 46}{space 3}0.332{col 54}{space 4}-.0357489{col 67}{space 3} .1052897
{txt}c_tfull_b_~s {c |}{col 14}{res}{space 2} .0245656{col 26}{space 2}  .041264{col 37}{space 1}    0.60{col 46}{space 3}0.552{col 54}{space 4}-.0568401{col 67}{space 3} .1059713
{txt}c_tfull_b_~d {c |}{col 14}{res}{space 2} .0272133{col 26}{space 2} .0158992{col 37}{space 1}    1.71{col 46}{space 3}0.089{col 54}{space 4}-.0041525{col 67}{space 3} .0585792
{txt}c_tfull_ed~r {c |}{col 14}{res}{space 2}-.0016339{col 26}{space 2} .0011181{col 37}{space 1}   -1.46{col 46}{space 3}0.146{col 54}{space 4}-.0038397{col 67}{space 3} .0005718
{txt}c_tfull_b_~x {c |}{col 14}{res}{space 2}-.0095979{col 26}{space 2} .0053077{col 37}{space 1}   -1.81{col 46}{space 3}0.072{col 54}{space 4} -.020069{col 67}{space 3} .0008732
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} .0005086{col 26}{space 2}  .020236{col 37}{space 1}    0.03{col 46}{space 3}0.980{col 54}{space 4}-.0394129{col 67}{space 3} .0404301
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull = .103{p_end}

{txt}       F(  1,   186) ={res}    1.54
{txt}{col 13}Prob > F ={res}    0.2157

{p 0 7}{space 1}{text:( 1)}{space 1} treatfull = -.103{p_end}

{txt}       F(  1,   186) ={res}   43.21
{txt}{col 13}Prob > F ={res}    0.0000
{txt}note: b_treatqual_z_d omitted because of collinearity
{res}
{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}     7,288
{txt}{col 49}F({res}   8{txt},{res}    186{txt}){col 67}= {res}      6.45
{txt}{col 49}Prob > F{col 67}= {res}    0.0000
{txt}{col 49}R-squared{col 67}= {res}    0.0978
{txt}{col 49}Adj R-squared{col 67}= {res}    0.0950
{txt}{col 49}Root MSE{col 67}= {res}    0.3521

{txt}{ralign 78:(Std. Err. adjusted for {res:187} clusters in hc_id)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}e_treatq~l_z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2} .0702541{col 26}{space 2} .0263569{col 37}{space 1}    2.67{col 46}{space 3}0.008{col 54}{space 4} .0182572{col 67}{space 3}  .122251
{txt}b_treatq~l_z {c |}{col 14}{res}{space 2} .0975202{col 26}{space 2} .0201453{col 37}{space 1}    4.84{col 46}{space 3}0.000{col 54}{space 4} .0577777{col 67}{space 3} .1372628
{txt}b_trea~l_z_d {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 1}c_tfull_hc2 {c |}{col 14}{res}{space 2}-.0364872{col 26}{space 2} .0302334{col 37}{space 1}   -1.21{col 46}{space 3}0.229{col 54}{space 4}-.0961317{col 67}{space 3} .0231573
{txt}c_tfull_b_~l {c |}{col 14}{res}{space 2} .0347704{col 26}{space 2} .0357458{col 37}{space 1}    0.97{col 46}{space 3}0.332{col 54}{space 4}-.0357489{col 67}{space 3} .1052897
{txt}c_tfull_b_~s {c |}{col 14}{res}{space 2} .0245656{col 26}{space 2}  .041264{col 37}{space 1}    0.60{col 46}{space 3}0.552{col 54}{space 4}-.0568401{col 67}{space 3} .1059713
{txt}c_tfull_b_~d {c |}{col 14}{res}{space 2} .0272133{col 26}{space 2} .0158992{col 37}{space 1}    1.71{col 46}{space 3}0.089{col 54}{space 4}-.0041525{col 67}{space 3} .0585792
{txt}c_tfull_ed~r {c |}{col 14}{res}{space 2}-.0016339{col 26}{space 2} .0011181{col 37}{space 1}   -1.46{col 46}{space 3}0.146{col 54}{space 4}-.0038397{col 67}{space 3} .0005718
{txt}c_tfull_b_~x {c |}{col 14}{res}{space 2}-.0095979{col 26}{space 2} .0053077{col 37}{space 1}   -1.81{col 46}{space 3}0.072{col 54}{space 4} -.020069{col 67}{space 3} .0008732
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} .0005086{col 26}{space 2}  .020236{col 37}{space 1}    0.03{col 46}{space 3}0.980{col 54}{space 4}-.0394129{col 67}{space 3} .0404301
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull = .104{p_end}

{txt}       F(  1,   186) ={res}    1.64
{txt}{col 13}Prob > F ={res}    0.2020

{p 0 7}{space 1}{text:( 1)}{space 1} treatfull = -.104{p_end}

{txt}       F(  1,   186) ={res}   43.71
{txt}{col 13}Prob > F ={res}    0.0000
{txt}note: b_treatqual_z_d omitted because of collinearity
{res}
{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}     7,288
{txt}{col 49}F({res}   8{txt},{res}    186{txt}){col 67}= {res}      6.45
{txt}{col 49}Prob > F{col 67}= {res}    0.0000
{txt}{col 49}R-squared{col 67}= {res}    0.0978
{txt}{col 49}Adj R-squared{col 67}= {res}    0.0950
{txt}{col 49}Root MSE{col 67}= {res}    0.3521

{txt}{ralign 78:(Std. Err. adjusted for {res:187} clusters in hc_id)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}e_treatq~l_z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2} .0702541{col 26}{space 2} .0263569{col 37}{space 1}    2.67{col 46}{space 3}0.008{col 54}{space 4} .0182572{col 67}{space 3}  .122251
{txt}b_treatq~l_z {c |}{col 14}{res}{space 2} .0975202{col 26}{space 2} .0201453{col 37}{space 1}    4.84{col 46}{space 3}0.000{col 54}{space 4} .0577777{col 67}{space 3} .1372628
{txt}b_trea~l_z_d {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 1}c_tfull_hc2 {c |}{col 14}{res}{space 2}-.0364872{col 26}{space 2} .0302334{col 37}{space 1}   -1.21{col 46}{space 3}0.229{col 54}{space 4}-.0961317{col 67}{space 3} .0231573
{txt}c_tfull_b_~l {c |}{col 14}{res}{space 2} .0347704{col 26}{space 2} .0357458{col 37}{space 1}    0.97{col 46}{space 3}0.332{col 54}{space 4}-.0357489{col 67}{space 3} .1052897
{txt}c_tfull_b_~s {c |}{col 14}{res}{space 2} .0245656{col 26}{space 2}  .041264{col 37}{space 1}    0.60{col 46}{space 3}0.552{col 54}{space 4}-.0568401{col 67}{space 3} .1059713
{txt}c_tfull_b_~d {c |}{col 14}{res}{space 2} .0272133{col 26}{space 2} .0158992{col 37}{space 1}    1.71{col 46}{space 3}0.089{col 54}{space 4}-.0041525{col 67}{space 3} .0585792
{txt}c_tfull_ed~r {c |}{col 14}{res}{space 2}-.0016339{col 26}{space 2} .0011181{col 37}{space 1}   -1.46{col 46}{space 3}0.146{col 54}{space 4}-.0038397{col 67}{space 3} .0005718
{txt}c_tfull_b_~x {c |}{col 14}{res}{space 2}-.0095979{col 26}{space 2} .0053077{col 37}{space 1}   -1.81{col 46}{space 3}0.072{col 54}{space 4} -.020069{col 67}{space 3} .0008732
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} .0005086{col 26}{space 2}  .020236{col 37}{space 1}    0.03{col 46}{space 3}0.980{col 54}{space 4}-.0394129{col 67}{space 3} .0404301
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull = .105{p_end}

{txt}       F(  1,   186) ={res}    1.74
{txt}{col 13}Prob > F ={res}    0.1890

{p 0 7}{space 1}{text:( 1)}{space 1} treatfull = -.105{p_end}

{txt}       F(  1,   186) ={res}   44.21
{txt}{col 13}Prob > F ={res}    0.0000
{txt}note: b_treatqual_z_d omitted because of collinearity
{res}
{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}     7,288
{txt}{col 49}F({res}   8{txt},{res}    186{txt}){col 67}= {res}      6.45
{txt}{col 49}Prob > F{col 67}= {res}    0.0000
{txt}{col 49}R-squared{col 67}= {res}    0.0978
{txt}{col 49}Adj R-squared{col 67}= {res}    0.0950
{txt}{col 49}Root MSE{col 67}= {res}    0.3521

{txt}{ralign 78:(Std. Err. adjusted for {res:187} clusters in hc_id)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}e_treatq~l_z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2} .0702541{col 26}{space 2} .0263569{col 37}{space 1}    2.67{col 46}{space 3}0.008{col 54}{space 4} .0182572{col 67}{space 3}  .122251
{txt}b_treatq~l_z {c |}{col 14}{res}{space 2} .0975202{col 26}{space 2} .0201453{col 37}{space 1}    4.84{col 46}{space 3}0.000{col 54}{space 4} .0577777{col 67}{space 3} .1372628
{txt}b_trea~l_z_d {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 1}c_tfull_hc2 {c |}{col 14}{res}{space 2}-.0364872{col 26}{space 2} .0302334{col 37}{space 1}   -1.21{col 46}{space 3}0.229{col 54}{space 4}-.0961317{col 67}{space 3} .0231573
{txt}c_tfull_b_~l {c |}{col 14}{res}{space 2} .0347704{col 26}{space 2} .0357458{col 37}{space 1}    0.97{col 46}{space 3}0.332{col 54}{space 4}-.0357489{col 67}{space 3} .1052897
{txt}c_tfull_b_~s {c |}{col 14}{res}{space 2} .0245656{col 26}{space 2}  .041264{col 37}{space 1}    0.60{col 46}{space 3}0.552{col 54}{space 4}-.0568401{col 67}{space 3} .1059713
{txt}c_tfull_b_~d {c |}{col 14}{res}{space 2} .0272133{col 26}{space 2} .0158992{col 37}{space 1}    1.71{col 46}{space 3}0.089{col 54}{space 4}-.0041525{col 67}{space 3} .0585792
{txt}c_tfull_ed~r {c |}{col 14}{res}{space 2}-.0016339{col 26}{space 2} .0011181{col 37}{space 1}   -1.46{col 46}{space 3}0.146{col 54}{space 4}-.0038397{col 67}{space 3} .0005718
{txt}c_tfull_b_~x {c |}{col 14}{res}{space 2}-.0095979{col 26}{space 2} .0053077{col 37}{space 1}   -1.81{col 46}{space 3}0.072{col 54}{space 4} -.020069{col 67}{space 3} .0008732
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} .0005086{col 26}{space 2}  .020236{col 37}{space 1}    0.03{col 46}{space 3}0.980{col 54}{space 4}-.0394129{col 67}{space 3} .0404301
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull = .106{p_end}

{txt}       F(  1,   186) ={res}    1.84
{txt}{col 13}Prob > F ={res}    0.1767

{p 0 7}{space 1}{text:( 1)}{space 1} treatfull = -.106{p_end}

{txt}       F(  1,   186) ={res}   44.72
{txt}{col 13}Prob > F ={res}    0.0000
{txt}note: b_treatqual_z_d omitted because of collinearity
{res}
{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}     7,288
{txt}{col 49}F({res}   8{txt},{res}    186{txt}){col 67}= {res}      6.45
{txt}{col 49}Prob > F{col 67}= {res}    0.0000
{txt}{col 49}R-squared{col 67}= {res}    0.0978
{txt}{col 49}Adj R-squared{col 67}= {res}    0.0950
{txt}{col 49}Root MSE{col 67}= {res}    0.3521

{txt}{ralign 78:(Std. Err. adjusted for {res:187} clusters in hc_id)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}e_treatq~l_z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2} .0702541{col 26}{space 2} .0263569{col 37}{space 1}    2.67{col 46}{space 3}0.008{col 54}{space 4} .0182572{col 67}{space 3}  .122251
{txt}b_treatq~l_z {c |}{col 14}{res}{space 2} .0975202{col 26}{space 2} .0201453{col 37}{space 1}    4.84{col 46}{space 3}0.000{col 54}{space 4} .0577777{col 67}{space 3} .1372628
{txt}b_trea~l_z_d {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 1}c_tfull_hc2 {c |}{col 14}{res}{space 2}-.0364872{col 26}{space 2} .0302334{col 37}{space 1}   -1.21{col 46}{space 3}0.229{col 54}{space 4}-.0961317{col 67}{space 3} .0231573
{txt}c_tfull_b_~l {c |}{col 14}{res}{space 2} .0347704{col 26}{space 2} .0357458{col 37}{space 1}    0.97{col 46}{space 3}0.332{col 54}{space 4}-.0357489{col 67}{space 3} .1052897
{txt}c_tfull_b_~s {c |}{col 14}{res}{space 2} .0245656{col 26}{space 2}  .041264{col 37}{space 1}    0.60{col 46}{space 3}0.552{col 54}{space 4}-.0568401{col 67}{space 3} .1059713
{txt}c_tfull_b_~d {c |}{col 14}{res}{space 2} .0272133{col 26}{space 2} .0158992{col 37}{space 1}    1.71{col 46}{space 3}0.089{col 54}{space 4}-.0041525{col 67}{space 3} .0585792
{txt}c_tfull_ed~r {c |}{col 14}{res}{space 2}-.0016339{col 26}{space 2} .0011181{col 37}{space 1}   -1.46{col 46}{space 3}0.146{col 54}{space 4}-.0038397{col 67}{space 3} .0005718
{txt}c_tfull_b_~x {c |}{col 14}{res}{space 2}-.0095979{col 26}{space 2} .0053077{col 37}{space 1}   -1.81{col 46}{space 3}0.072{col 54}{space 4} -.020069{col 67}{space 3} .0008732
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} .0005086{col 26}{space 2}  .020236{col 37}{space 1}    0.03{col 46}{space 3}0.980{col 54}{space 4}-.0394129{col 67}{space 3} .0404301
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull = .107{p_end}

{txt}       F(  1,   186) ={res}    1.94
{txt}{col 13}Prob > F ={res}    0.1649

{p 0 7}{space 1}{text:( 1)}{space 1} treatfull = -.107{p_end}

{txt}       F(  1,   186) ={res}   45.23
{txt}{col 13}Prob > F ={res}    0.0000
{txt}note: b_treatqual_z_d omitted because of collinearity
{res}
{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}     7,288
{txt}{col 49}F({res}   8{txt},{res}    186{txt}){col 67}= {res}      6.45
{txt}{col 49}Prob > F{col 67}= {res}    0.0000
{txt}{col 49}R-squared{col 67}= {res}    0.0978
{txt}{col 49}Adj R-squared{col 67}= {res}    0.0950
{txt}{col 49}Root MSE{col 67}= {res}    0.3521

{txt}{ralign 78:(Std. Err. adjusted for {res:187} clusters in hc_id)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}e_treatq~l_z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2} .0702541{col 26}{space 2} .0263569{col 37}{space 1}    2.67{col 46}{space 3}0.008{col 54}{space 4} .0182572{col 67}{space 3}  .122251
{txt}b_treatq~l_z {c |}{col 14}{res}{space 2} .0975202{col 26}{space 2} .0201453{col 37}{space 1}    4.84{col 46}{space 3}0.000{col 54}{space 4} .0577777{col 67}{space 3} .1372628
{txt}b_trea~l_z_d {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 1}c_tfull_hc2 {c |}{col 14}{res}{space 2}-.0364872{col 26}{space 2} .0302334{col 37}{space 1}   -1.21{col 46}{space 3}0.229{col 54}{space 4}-.0961317{col 67}{space 3} .0231573
{txt}c_tfull_b_~l {c |}{col 14}{res}{space 2} .0347704{col 26}{space 2} .0357458{col 37}{space 1}    0.97{col 46}{space 3}0.332{col 54}{space 4}-.0357489{col 67}{space 3} .1052897
{txt}c_tfull_b_~s {c |}{col 14}{res}{space 2} .0245656{col 26}{space 2}  .041264{col 37}{space 1}    0.60{col 46}{space 3}0.552{col 54}{space 4}-.0568401{col 67}{space 3} .1059713
{txt}c_tfull_b_~d {c |}{col 14}{res}{space 2} .0272133{col 26}{space 2} .0158992{col 37}{space 1}    1.71{col 46}{space 3}0.089{col 54}{space 4}-.0041525{col 67}{space 3} .0585792
{txt}c_tfull_ed~r {c |}{col 14}{res}{space 2}-.0016339{col 26}{space 2} .0011181{col 37}{space 1}   -1.46{col 46}{space 3}0.146{col 54}{space 4}-.0038397{col 67}{space 3} .0005718
{txt}c_tfull_b_~x {c |}{col 14}{res}{space 2}-.0095979{col 26}{space 2} .0053077{col 37}{space 1}   -1.81{col 46}{space 3}0.072{col 54}{space 4} -.020069{col 67}{space 3} .0008732
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} .0005086{col 26}{space 2}  .020236{col 37}{space 1}    0.03{col 46}{space 3}0.980{col 54}{space 4}-.0394129{col 67}{space 3} .0404301
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull = .108{p_end}

{txt}       F(  1,   186) ={res}    2.05
{txt}{col 13}Prob > F ={res}    0.1538

{p 0 7}{space 1}{text:( 1)}{space 1} treatfull = -.108{p_end}

{txt}       F(  1,   186) ={res}   45.74
{txt}{col 13}Prob > F ={res}    0.0000
{txt}note: b_treatqual_z_d omitted because of collinearity
{res}
{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}     7,288
{txt}{col 49}F({res}   8{txt},{res}    186{txt}){col 67}= {res}      6.45
{txt}{col 49}Prob > F{col 67}= {res}    0.0000
{txt}{col 49}R-squared{col 67}= {res}    0.0978
{txt}{col 49}Adj R-squared{col 67}= {res}    0.0950
{txt}{col 49}Root MSE{col 67}= {res}    0.3521

{txt}{ralign 78:(Std. Err. adjusted for {res:187} clusters in hc_id)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}e_treatq~l_z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2} .0702541{col 26}{space 2} .0263569{col 37}{space 1}    2.67{col 46}{space 3}0.008{col 54}{space 4} .0182572{col 67}{space 3}  .122251
{txt}b_treatq~l_z {c |}{col 14}{res}{space 2} .0975202{col 26}{space 2} .0201453{col 37}{space 1}    4.84{col 46}{space 3}0.000{col 54}{space 4} .0577777{col 67}{space 3} .1372628
{txt}b_trea~l_z_d {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 1}c_tfull_hc2 {c |}{col 14}{res}{space 2}-.0364872{col 26}{space 2} .0302334{col 37}{space 1}   -1.21{col 46}{space 3}0.229{col 54}{space 4}-.0961317{col 67}{space 3} .0231573
{txt}c_tfull_b_~l {c |}{col 14}{res}{space 2} .0347704{col 26}{space 2} .0357458{col 37}{space 1}    0.97{col 46}{space 3}0.332{col 54}{space 4}-.0357489{col 67}{space 3} .1052897
{txt}c_tfull_b_~s {c |}{col 14}{res}{space 2} .0245656{col 26}{space 2}  .041264{col 37}{space 1}    0.60{col 46}{space 3}0.552{col 54}{space 4}-.0568401{col 67}{space 3} .1059713
{txt}c_tfull_b_~d {c |}{col 14}{res}{space 2} .0272133{col 26}{space 2} .0158992{col 37}{space 1}    1.71{col 46}{space 3}0.089{col 54}{space 4}-.0041525{col 67}{space 3} .0585792
{txt}c_tfull_ed~r {c |}{col 14}{res}{space 2}-.0016339{col 26}{space 2} .0011181{col 37}{space 1}   -1.46{col 46}{space 3}0.146{col 54}{space 4}-.0038397{col 67}{space 3} .0005718
{txt}c_tfull_b_~x {c |}{col 14}{res}{space 2}-.0095979{col 26}{space 2} .0053077{col 37}{space 1}   -1.81{col 46}{space 3}0.072{col 54}{space 4} -.020069{col 67}{space 3} .0008732
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} .0005086{col 26}{space 2}  .020236{col 37}{space 1}    0.03{col 46}{space 3}0.980{col 54}{space 4}-.0394129{col 67}{space 3} .0404301
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull = .109{p_end}

{txt}       F(  1,   186) ={res}    2.16
{txt}{col 13}Prob > F ={res}    0.1432

{p 0 7}{space 1}{text:( 1)}{space 1} treatfull = -.109{p_end}

{txt}       F(  1,   186) ={res}   46.25
{txt}{col 13}Prob > F ={res}    0.0000
{txt}note: b_treatqual_z_d omitted because of collinearity
{res}
{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}     7,288
{txt}{col 49}F({res}   8{txt},{res}    186{txt}){col 67}= {res}      6.45
{txt}{col 49}Prob > F{col 67}= {res}    0.0000
{txt}{col 49}R-squared{col 67}= {res}    0.0978
{txt}{col 49}Adj R-squared{col 67}= {res}    0.0950
{txt}{col 49}Root MSE{col 67}= {res}    0.3521

{txt}{ralign 78:(Std. Err. adjusted for {res:187} clusters in hc_id)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}e_treatq~l_z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2} .0702541{col 26}{space 2} .0263569{col 37}{space 1}    2.67{col 46}{space 3}0.008{col 54}{space 4} .0182572{col 67}{space 3}  .122251
{txt}b_treatq~l_z {c |}{col 14}{res}{space 2} .0975202{col 26}{space 2} .0201453{col 37}{space 1}    4.84{col 46}{space 3}0.000{col 54}{space 4} .0577777{col 67}{space 3} .1372628
{txt}b_trea~l_z_d {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 1}c_tfull_hc2 {c |}{col 14}{res}{space 2}-.0364872{col 26}{space 2} .0302334{col 37}{space 1}   -1.21{col 46}{space 3}0.229{col 54}{space 4}-.0961317{col 67}{space 3} .0231573
{txt}c_tfull_b_~l {c |}{col 14}{res}{space 2} .0347704{col 26}{space 2} .0357458{col 37}{space 1}    0.97{col 46}{space 3}0.332{col 54}{space 4}-.0357489{col 67}{space 3} .1052897
{txt}c_tfull_b_~s {c |}{col 14}{res}{space 2} .0245656{col 26}{space 2}  .041264{col 37}{space 1}    0.60{col 46}{space 3}0.552{col 54}{space 4}-.0568401{col 67}{space 3} .1059713
{txt}c_tfull_b_~d {c |}{col 14}{res}{space 2} .0272133{col 26}{space 2} .0158992{col 37}{space 1}    1.71{col 46}{space 3}0.089{col 54}{space 4}-.0041525{col 67}{space 3} .0585792
{txt}c_tfull_ed~r {c |}{col 14}{res}{space 2}-.0016339{col 26}{space 2} .0011181{col 37}{space 1}   -1.46{col 46}{space 3}0.146{col 54}{space 4}-.0038397{col 67}{space 3} .0005718
{txt}c_tfull_b_~x {c |}{col 14}{res}{space 2}-.0095979{col 26}{space 2} .0053077{col 37}{space 1}   -1.81{col 46}{space 3}0.072{col 54}{space 4} -.020069{col 67}{space 3} .0008732
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} .0005086{col 26}{space 2}  .020236{col 37}{space 1}    0.03{col 46}{space 3}0.980{col 54}{space 4}-.0394129{col 67}{space 3} .0404301
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull = .11{p_end}

{txt}       F(  1,   186) ={res}    2.27
{txt}{col 13}Prob > F ={res}    0.1333

{p 0 7}{space 1}{text:( 1)}{space 1} treatfull = -.11{p_end}

{txt}       F(  1,   186) ={res}   46.77
{txt}{col 13}Prob > F ={res}    0.0000
{txt}note: b_treatqual_z_d omitted because of collinearity
{res}
{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}     7,288
{txt}{col 49}F({res}   8{txt},{res}    186{txt}){col 67}= {res}      6.45
{txt}{col 49}Prob > F{col 67}= {res}    0.0000
{txt}{col 49}R-squared{col 67}= {res}    0.0978
{txt}{col 49}Adj R-squared{col 67}= {res}    0.0950
{txt}{col 49}Root MSE{col 67}= {res}    0.3521

{txt}{ralign 78:(Std. Err. adjusted for {res:187} clusters in hc_id)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}e_treatq~l_z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2} .0702541{col 26}{space 2} .0263569{col 37}{space 1}    2.67{col 46}{space 3}0.008{col 54}{space 4} .0182572{col 67}{space 3}  .122251
{txt}b_treatq~l_z {c |}{col 14}{res}{space 2} .0975202{col 26}{space 2} .0201453{col 37}{space 1}    4.84{col 46}{space 3}0.000{col 54}{space 4} .0577777{col 67}{space 3} .1372628
{txt}b_trea~l_z_d {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 1}c_tfull_hc2 {c |}{col 14}{res}{space 2}-.0364872{col 26}{space 2} .0302334{col 37}{space 1}   -1.21{col 46}{space 3}0.229{col 54}{space 4}-.0961317{col 67}{space 3} .0231573
{txt}c_tfull_b_~l {c |}{col 14}{res}{space 2} .0347704{col 26}{space 2} .0357458{col 37}{space 1}    0.97{col 46}{space 3}0.332{col 54}{space 4}-.0357489{col 67}{space 3} .1052897
{txt}c_tfull_b_~s {c |}{col 14}{res}{space 2} .0245656{col 26}{space 2}  .041264{col 37}{space 1}    0.60{col 46}{space 3}0.552{col 54}{space 4}-.0568401{col 67}{space 3} .1059713
{txt}c_tfull_b_~d {c |}{col 14}{res}{space 2} .0272133{col 26}{space 2} .0158992{col 37}{space 1}    1.71{col 46}{space 3}0.089{col 54}{space 4}-.0041525{col 67}{space 3} .0585792
{txt}c_tfull_ed~r {c |}{col 14}{res}{space 2}-.0016339{col 26}{space 2} .0011181{col 37}{space 1}   -1.46{col 46}{space 3}0.146{col 54}{space 4}-.0038397{col 67}{space 3} .0005718
{txt}c_tfull_b_~x {c |}{col 14}{res}{space 2}-.0095979{col 26}{space 2} .0053077{col 37}{space 1}   -1.81{col 46}{space 3}0.072{col 54}{space 4} -.020069{col 67}{space 3} .0008732
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} .0005086{col 26}{space 2}  .020236{col 37}{space 1}    0.03{col 46}{space 3}0.980{col 54}{space 4}-.0394129{col 67}{space 3} .0404301
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull = .111{p_end}

{txt}       F(  1,   186) ={res}    2.39
{txt}{col 13}Prob > F ={res}    0.1238

{p 0 7}{space 1}{text:( 1)}{space 1} treatfull = -.111{p_end}

{txt}       F(  1,   186) ={res}   47.29
{txt}{col 13}Prob > F ={res}    0.0000
{txt}note: b_treatqual_z_d omitted because of collinearity
{res}
{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}     7,288
{txt}{col 49}F({res}   8{txt},{res}    186{txt}){col 67}= {res}      6.45
{txt}{col 49}Prob > F{col 67}= {res}    0.0000
{txt}{col 49}R-squared{col 67}= {res}    0.0978
{txt}{col 49}Adj R-squared{col 67}= {res}    0.0950
{txt}{col 49}Root MSE{col 67}= {res}    0.3521

{txt}{ralign 78:(Std. Err. adjusted for {res:187} clusters in hc_id)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}e_treatq~l_z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2} .0702541{col 26}{space 2} .0263569{col 37}{space 1}    2.67{col 46}{space 3}0.008{col 54}{space 4} .0182572{col 67}{space 3}  .122251
{txt}b_treatq~l_z {c |}{col 14}{res}{space 2} .0975202{col 26}{space 2} .0201453{col 37}{space 1}    4.84{col 46}{space 3}0.000{col 54}{space 4} .0577777{col 67}{space 3} .1372628
{txt}b_trea~l_z_d {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 1}c_tfull_hc2 {c |}{col 14}{res}{space 2}-.0364872{col 26}{space 2} .0302334{col 37}{space 1}   -1.21{col 46}{space 3}0.229{col 54}{space 4}-.0961317{col 67}{space 3} .0231573
{txt}c_tfull_b_~l {c |}{col 14}{res}{space 2} .0347704{col 26}{space 2} .0357458{col 37}{space 1}    0.97{col 46}{space 3}0.332{col 54}{space 4}-.0357489{col 67}{space 3} .1052897
{txt}c_tfull_b_~s {c |}{col 14}{res}{space 2} .0245656{col 26}{space 2}  .041264{col 37}{space 1}    0.60{col 46}{space 3}0.552{col 54}{space 4}-.0568401{col 67}{space 3} .1059713
{txt}c_tfull_b_~d {c |}{col 14}{res}{space 2} .0272133{col 26}{space 2} .0158992{col 37}{space 1}    1.71{col 46}{space 3}0.089{col 54}{space 4}-.0041525{col 67}{space 3} .0585792
{txt}c_tfull_ed~r {c |}{col 14}{res}{space 2}-.0016339{col 26}{space 2} .0011181{col 37}{space 1}   -1.46{col 46}{space 3}0.146{col 54}{space 4}-.0038397{col 67}{space 3} .0005718
{txt}c_tfull_b_~x {c |}{col 14}{res}{space 2}-.0095979{col 26}{space 2} .0053077{col 37}{space 1}   -1.81{col 46}{space 3}0.072{col 54}{space 4} -.020069{col 67}{space 3} .0008732
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} .0005086{col 26}{space 2}  .020236{col 37}{space 1}    0.03{col 46}{space 3}0.980{col 54}{space 4}-.0394129{col 67}{space 3} .0404301
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull = .112{p_end}

{txt}       F(  1,   186) ={res}    2.51
{txt}{col 13}Prob > F ={res}    0.1149

{p 0 7}{space 1}{text:( 1)}{space 1} treatfull = -.112{p_end}

{txt}       F(  1,   186) ={res}   47.82
{txt}{col 13}Prob > F ={res}    0.0000
{txt}note: b_treatqual_z_d omitted because of collinearity
{res}
{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}     7,288
{txt}{col 49}F({res}   8{txt},{res}    186{txt}){col 67}= {res}      6.45
{txt}{col 49}Prob > F{col 67}= {res}    0.0000
{txt}{col 49}R-squared{col 67}= {res}    0.0978
{txt}{col 49}Adj R-squared{col 67}= {res}    0.0950
{txt}{col 49}Root MSE{col 67}= {res}    0.3521

{txt}{ralign 78:(Std. Err. adjusted for {res:187} clusters in hc_id)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}e_treatq~l_z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2} .0702541{col 26}{space 2} .0263569{col 37}{space 1}    2.67{col 46}{space 3}0.008{col 54}{space 4} .0182572{col 67}{space 3}  .122251
{txt}b_treatq~l_z {c |}{col 14}{res}{space 2} .0975202{col 26}{space 2} .0201453{col 37}{space 1}    4.84{col 46}{space 3}0.000{col 54}{space 4} .0577777{col 67}{space 3} .1372628
{txt}b_trea~l_z_d {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 1}c_tfull_hc2 {c |}{col 14}{res}{space 2}-.0364872{col 26}{space 2} .0302334{col 37}{space 1}   -1.21{col 46}{space 3}0.229{col 54}{space 4}-.0961317{col 67}{space 3} .0231573
{txt}c_tfull_b_~l {c |}{col 14}{res}{space 2} .0347704{col 26}{space 2} .0357458{col 37}{space 1}    0.97{col 46}{space 3}0.332{col 54}{space 4}-.0357489{col 67}{space 3} .1052897
{txt}c_tfull_b_~s {c |}{col 14}{res}{space 2} .0245656{col 26}{space 2}  .041264{col 37}{space 1}    0.60{col 46}{space 3}0.552{col 54}{space 4}-.0568401{col 67}{space 3} .1059713
{txt}c_tfull_b_~d {c |}{col 14}{res}{space 2} .0272133{col 26}{space 2} .0158992{col 37}{space 1}    1.71{col 46}{space 3}0.089{col 54}{space 4}-.0041525{col 67}{space 3} .0585792
{txt}c_tfull_ed~r {c |}{col 14}{res}{space 2}-.0016339{col 26}{space 2} .0011181{col 37}{space 1}   -1.46{col 46}{space 3}0.146{col 54}{space 4}-.0038397{col 67}{space 3} .0005718
{txt}c_tfull_b_~x {c |}{col 14}{res}{space 2}-.0095979{col 26}{space 2} .0053077{col 37}{space 1}   -1.81{col 46}{space 3}0.072{col 54}{space 4} -.020069{col 67}{space 3} .0008732
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} .0005086{col 26}{space 2}  .020236{col 37}{space 1}    0.03{col 46}{space 3}0.980{col 54}{space 4}-.0394129{col 67}{space 3} .0404301
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull = .113{p_end}

{txt}       F(  1,   186) ={res}    2.63
{txt}{col 13}Prob > F ={res}    0.1065

{p 0 7}{space 1}{text:( 1)}{space 1} treatfull = -.113{p_end}

{txt}       F(  1,   186) ={res}   48.34
{txt}{col 13}Prob > F ={res}    0.0000
{txt}note: b_treatqual_z_d omitted because of collinearity
{res}
{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}     7,288
{txt}{col 49}F({res}   8{txt},{res}    186{txt}){col 67}= {res}      6.45
{txt}{col 49}Prob > F{col 67}= {res}    0.0000
{txt}{col 49}R-squared{col 67}= {res}    0.0978
{txt}{col 49}Adj R-squared{col 67}= {res}    0.0950
{txt}{col 49}Root MSE{col 67}= {res}    0.3521

{txt}{ralign 78:(Std. Err. adjusted for {res:187} clusters in hc_id)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}e_treatq~l_z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2} .0702541{col 26}{space 2} .0263569{col 37}{space 1}    2.67{col 46}{space 3}0.008{col 54}{space 4} .0182572{col 67}{space 3}  .122251
{txt}b_treatq~l_z {c |}{col 14}{res}{space 2} .0975202{col 26}{space 2} .0201453{col 37}{space 1}    4.84{col 46}{space 3}0.000{col 54}{space 4} .0577777{col 67}{space 3} .1372628
{txt}b_trea~l_z_d {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 1}c_tfull_hc2 {c |}{col 14}{res}{space 2}-.0364872{col 26}{space 2} .0302334{col 37}{space 1}   -1.21{col 46}{space 3}0.229{col 54}{space 4}-.0961317{col 67}{space 3} .0231573
{txt}c_tfull_b_~l {c |}{col 14}{res}{space 2} .0347704{col 26}{space 2} .0357458{col 37}{space 1}    0.97{col 46}{space 3}0.332{col 54}{space 4}-.0357489{col 67}{space 3} .1052897
{txt}c_tfull_b_~s {c |}{col 14}{res}{space 2} .0245656{col 26}{space 2}  .041264{col 37}{space 1}    0.60{col 46}{space 3}0.552{col 54}{space 4}-.0568401{col 67}{space 3} .1059713
{txt}c_tfull_b_~d {c |}{col 14}{res}{space 2} .0272133{col 26}{space 2} .0158992{col 37}{space 1}    1.71{col 46}{space 3}0.089{col 54}{space 4}-.0041525{col 67}{space 3} .0585792
{txt}c_tfull_ed~r {c |}{col 14}{res}{space 2}-.0016339{col 26}{space 2} .0011181{col 37}{space 1}   -1.46{col 46}{space 3}0.146{col 54}{space 4}-.0038397{col 67}{space 3} .0005718
{txt}c_tfull_b_~x {c |}{col 14}{res}{space 2}-.0095979{col 26}{space 2} .0053077{col 37}{space 1}   -1.81{col 46}{space 3}0.072{col 54}{space 4} -.020069{col 67}{space 3} .0008732
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} .0005086{col 26}{space 2}  .020236{col 37}{space 1}    0.03{col 46}{space 3}0.980{col 54}{space 4}-.0394129{col 67}{space 3} .0404301
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull = .114{p_end}

{txt}       F(  1,   186) ={res}    2.75
{txt}{col 13}Prob > F ={res}    0.0986

{p 0 7}{space 1}{text:( 1)}{space 1} treatfull = -.114{p_end}

{txt}       F(  1,   186) ={res}   48.87
{txt}{col 13}Prob > F ={res}    0.0000
{txt}note: b_treatqual_z_d omitted because of collinearity
{res}
{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}     7,288
{txt}{col 49}F({res}   8{txt},{res}    186{txt}){col 67}= {res}      6.45
{txt}{col 49}Prob > F{col 67}= {res}    0.0000
{txt}{col 49}R-squared{col 67}= {res}    0.0978
{txt}{col 49}Adj R-squared{col 67}= {res}    0.0950
{txt}{col 49}Root MSE{col 67}= {res}    0.3521

{txt}{ralign 78:(Std. Err. adjusted for {res:187} clusters in hc_id)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}e_treatq~l_z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2} .0702541{col 26}{space 2} .0263569{col 37}{space 1}    2.67{col 46}{space 3}0.008{col 54}{space 4} .0182572{col 67}{space 3}  .122251
{txt}b_treatq~l_z {c |}{col 14}{res}{space 2} .0975202{col 26}{space 2} .0201453{col 37}{space 1}    4.84{col 46}{space 3}0.000{col 54}{space 4} .0577777{col 67}{space 3} .1372628
{txt}b_trea~l_z_d {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 1}c_tfull_hc2 {c |}{col 14}{res}{space 2}-.0364872{col 26}{space 2} .0302334{col 37}{space 1}   -1.21{col 46}{space 3}0.229{col 54}{space 4}-.0961317{col 67}{space 3} .0231573
{txt}c_tfull_b_~l {c |}{col 14}{res}{space 2} .0347704{col 26}{space 2} .0357458{col 37}{space 1}    0.97{col 46}{space 3}0.332{col 54}{space 4}-.0357489{col 67}{space 3} .1052897
{txt}c_tfull_b_~s {c |}{col 14}{res}{space 2} .0245656{col 26}{space 2}  .041264{col 37}{space 1}    0.60{col 46}{space 3}0.552{col 54}{space 4}-.0568401{col 67}{space 3} .1059713
{txt}c_tfull_b_~d {c |}{col 14}{res}{space 2} .0272133{col 26}{space 2} .0158992{col 37}{space 1}    1.71{col 46}{space 3}0.089{col 54}{space 4}-.0041525{col 67}{space 3} .0585792
{txt}c_tfull_ed~r {c |}{col 14}{res}{space 2}-.0016339{col 26}{space 2} .0011181{col 37}{space 1}   -1.46{col 46}{space 3}0.146{col 54}{space 4}-.0038397{col 67}{space 3} .0005718
{txt}c_tfull_b_~x {c |}{col 14}{res}{space 2}-.0095979{col 26}{space 2} .0053077{col 37}{space 1}   -1.81{col 46}{space 3}0.072{col 54}{space 4} -.020069{col 67}{space 3} .0008732
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} .0005086{col 26}{space 2}  .020236{col 37}{space 1}    0.03{col 46}{space 3}0.980{col 54}{space 4}-.0394129{col 67}{space 3} .0404301
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull = .115{p_end}

{txt}       F(  1,   186) ={res}    2.88
{txt}{col 13}Prob > F ={res}    0.0912

{p 0 7}{space 1}{text:( 1)}{space 1} treatfull = -.115{p_end}

{txt}       F(  1,   186) ={res}   49.40
{txt}{col 13}Prob > F ={res}    0.0000
{txt}note: b_treatqual_z_d omitted because of collinearity
{res}
{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}     7,288
{txt}{col 49}F({res}   8{txt},{res}    186{txt}){col 67}= {res}      6.45
{txt}{col 49}Prob > F{col 67}= {res}    0.0000
{txt}{col 49}R-squared{col 67}= {res}    0.0978
{txt}{col 49}Adj R-squared{col 67}= {res}    0.0950
{txt}{col 49}Root MSE{col 67}= {res}    0.3521

{txt}{ralign 78:(Std. Err. adjusted for {res:187} clusters in hc_id)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}e_treatq~l_z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2} .0702541{col 26}{space 2} .0263569{col 37}{space 1}    2.67{col 46}{space 3}0.008{col 54}{space 4} .0182572{col 67}{space 3}  .122251
{txt}b_treatq~l_z {c |}{col 14}{res}{space 2} .0975202{col 26}{space 2} .0201453{col 37}{space 1}    4.84{col 46}{space 3}0.000{col 54}{space 4} .0577777{col 67}{space 3} .1372628
{txt}b_trea~l_z_d {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 1}c_tfull_hc2 {c |}{col 14}{res}{space 2}-.0364872{col 26}{space 2} .0302334{col 37}{space 1}   -1.21{col 46}{space 3}0.229{col 54}{space 4}-.0961317{col 67}{space 3} .0231573
{txt}c_tfull_b_~l {c |}{col 14}{res}{space 2} .0347704{col 26}{space 2} .0357458{col 37}{space 1}    0.97{col 46}{space 3}0.332{col 54}{space 4}-.0357489{col 67}{space 3} .1052897
{txt}c_tfull_b_~s {c |}{col 14}{res}{space 2} .0245656{col 26}{space 2}  .041264{col 37}{space 1}    0.60{col 46}{space 3}0.552{col 54}{space 4}-.0568401{col 67}{space 3} .1059713
{txt}c_tfull_b_~d {c |}{col 14}{res}{space 2} .0272133{col 26}{space 2} .0158992{col 37}{space 1}    1.71{col 46}{space 3}0.089{col 54}{space 4}-.0041525{col 67}{space 3} .0585792
{txt}c_tfull_ed~r {c |}{col 14}{res}{space 2}-.0016339{col 26}{space 2} .0011181{col 37}{space 1}   -1.46{col 46}{space 3}0.146{col 54}{space 4}-.0038397{col 67}{space 3} .0005718
{txt}c_tfull_b_~x {c |}{col 14}{res}{space 2}-.0095979{col 26}{space 2} .0053077{col 37}{space 1}   -1.81{col 46}{space 3}0.072{col 54}{space 4} -.020069{col 67}{space 3} .0008732
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} .0005086{col 26}{space 2}  .020236{col 37}{space 1}    0.03{col 46}{space 3}0.980{col 54}{space 4}-.0394129{col 67}{space 3} .0404301
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull = .116{p_end}

{txt}       F(  1,   186) ={res}    3.01
{txt}{col 13}Prob > F ={res}    0.0843

{p 0 7}{space 1}{text:( 1)}{space 1} treatfull = -.116{p_end}

{txt}       F(  1,   186) ={res}   49.94
{txt}{col 13}Prob > F ={res}    0.0000
{txt}note: b_treatqual_z_d omitted because of collinearity
{res}
{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}     7,288
{txt}{col 49}F({res}   8{txt},{res}    186{txt}){col 67}= {res}      6.45
{txt}{col 49}Prob > F{col 67}= {res}    0.0000
{txt}{col 49}R-squared{col 67}= {res}    0.0978
{txt}{col 49}Adj R-squared{col 67}= {res}    0.0950
{txt}{col 49}Root MSE{col 67}= {res}    0.3521

{txt}{ralign 78:(Std. Err. adjusted for {res:187} clusters in hc_id)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}e_treatq~l_z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2} .0702541{col 26}{space 2} .0263569{col 37}{space 1}    2.67{col 46}{space 3}0.008{col 54}{space 4} .0182572{col 67}{space 3}  .122251
{txt}b_treatq~l_z {c |}{col 14}{res}{space 2} .0975202{col 26}{space 2} .0201453{col 37}{space 1}    4.84{col 46}{space 3}0.000{col 54}{space 4} .0577777{col 67}{space 3} .1372628
{txt}b_trea~l_z_d {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 1}c_tfull_hc2 {c |}{col 14}{res}{space 2}-.0364872{col 26}{space 2} .0302334{col 37}{space 1}   -1.21{col 46}{space 3}0.229{col 54}{space 4}-.0961317{col 67}{space 3} .0231573
{txt}c_tfull_b_~l {c |}{col 14}{res}{space 2} .0347704{col 26}{space 2} .0357458{col 37}{space 1}    0.97{col 46}{space 3}0.332{col 54}{space 4}-.0357489{col 67}{space 3} .1052897
{txt}c_tfull_b_~s {c |}{col 14}{res}{space 2} .0245656{col 26}{space 2}  .041264{col 37}{space 1}    0.60{col 46}{space 3}0.552{col 54}{space 4}-.0568401{col 67}{space 3} .1059713
{txt}c_tfull_b_~d {c |}{col 14}{res}{space 2} .0272133{col 26}{space 2} .0158992{col 37}{space 1}    1.71{col 46}{space 3}0.089{col 54}{space 4}-.0041525{col 67}{space 3} .0585792
{txt}c_tfull_ed~r {c |}{col 14}{res}{space 2}-.0016339{col 26}{space 2} .0011181{col 37}{space 1}   -1.46{col 46}{space 3}0.146{col 54}{space 4}-.0038397{col 67}{space 3} .0005718
{txt}c_tfull_b_~x {c |}{col 14}{res}{space 2}-.0095979{col 26}{space 2} .0053077{col 37}{space 1}   -1.81{col 46}{space 3}0.072{col 54}{space 4} -.020069{col 67}{space 3} .0008732
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} .0005086{col 26}{space 2}  .020236{col 37}{space 1}    0.03{col 46}{space 3}0.980{col 54}{space 4}-.0394129{col 67}{space 3} .0404301
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull = .117{p_end}

{txt}       F(  1,   186) ={res}    3.15
{txt}{col 13}Prob > F ={res}    0.0778

{p 0 7}{space 1}{text:( 1)}{space 1} treatfull = -.117{p_end}

{txt}       F(  1,   186) ={res}   50.47
{txt}{col 13}Prob > F ={res}    0.0000
{txt}note: b_treatqual_z_d omitted because of collinearity
{res}
{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}     7,288
{txt}{col 49}F({res}   8{txt},{res}    186{txt}){col 67}= {res}      6.45
{txt}{col 49}Prob > F{col 67}= {res}    0.0000
{txt}{col 49}R-squared{col 67}= {res}    0.0978
{txt}{col 49}Adj R-squared{col 67}= {res}    0.0950
{txt}{col 49}Root MSE{col 67}= {res}    0.3521

{txt}{ralign 78:(Std. Err. adjusted for {res:187} clusters in hc_id)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}e_treatq~l_z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2} .0702541{col 26}{space 2} .0263569{col 37}{space 1}    2.67{col 46}{space 3}0.008{col 54}{space 4} .0182572{col 67}{space 3}  .122251
{txt}b_treatq~l_z {c |}{col 14}{res}{space 2} .0975202{col 26}{space 2} .0201453{col 37}{space 1}    4.84{col 46}{space 3}0.000{col 54}{space 4} .0577777{col 67}{space 3} .1372628
{txt}b_trea~l_z_d {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 1}c_tfull_hc2 {c |}{col 14}{res}{space 2}-.0364872{col 26}{space 2} .0302334{col 37}{space 1}   -1.21{col 46}{space 3}0.229{col 54}{space 4}-.0961317{col 67}{space 3} .0231573
{txt}c_tfull_b_~l {c |}{col 14}{res}{space 2} .0347704{col 26}{space 2} .0357458{col 37}{space 1}    0.97{col 46}{space 3}0.332{col 54}{space 4}-.0357489{col 67}{space 3} .1052897
{txt}c_tfull_b_~s {c |}{col 14}{res}{space 2} .0245656{col 26}{space 2}  .041264{col 37}{space 1}    0.60{col 46}{space 3}0.552{col 54}{space 4}-.0568401{col 67}{space 3} .1059713
{txt}c_tfull_b_~d {c |}{col 14}{res}{space 2} .0272133{col 26}{space 2} .0158992{col 37}{space 1}    1.71{col 46}{space 3}0.089{col 54}{space 4}-.0041525{col 67}{space 3} .0585792
{txt}c_tfull_ed~r {c |}{col 14}{res}{space 2}-.0016339{col 26}{space 2} .0011181{col 37}{space 1}   -1.46{col 46}{space 3}0.146{col 54}{space 4}-.0038397{col 67}{space 3} .0005718
{txt}c_tfull_b_~x {c |}{col 14}{res}{space 2}-.0095979{col 26}{space 2} .0053077{col 37}{space 1}   -1.81{col 46}{space 3}0.072{col 54}{space 4} -.020069{col 67}{space 3} .0008732
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} .0005086{col 26}{space 2}  .020236{col 37}{space 1}    0.03{col 46}{space 3}0.980{col 54}{space 4}-.0394129{col 67}{space 3} .0404301
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull = .118{p_end}

{txt}       F(  1,   186) ={res}    3.28
{txt}{col 13}Prob > F ={res}    0.0717

{p 0 7}{space 1}{text:( 1)}{space 1} treatfull = -.118{p_end}

{txt}       F(  1,   186) ={res}   51.02
{txt}{col 13}Prob > F ={res}    0.0000
{txt}note: b_treatqual_z_d omitted because of collinearity
{res}
{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}     7,288
{txt}{col 49}F({res}   8{txt},{res}    186{txt}){col 67}= {res}      6.45
{txt}{col 49}Prob > F{col 67}= {res}    0.0000
{txt}{col 49}R-squared{col 67}= {res}    0.0978
{txt}{col 49}Adj R-squared{col 67}= {res}    0.0950
{txt}{col 49}Root MSE{col 67}= {res}    0.3521

{txt}{ralign 78:(Std. Err. adjusted for {res:187} clusters in hc_id)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}e_treatq~l_z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2} .0702541{col 26}{space 2} .0263569{col 37}{space 1}    2.67{col 46}{space 3}0.008{col 54}{space 4} .0182572{col 67}{space 3}  .122251
{txt}b_treatq~l_z {c |}{col 14}{res}{space 2} .0975202{col 26}{space 2} .0201453{col 37}{space 1}    4.84{col 46}{space 3}0.000{col 54}{space 4} .0577777{col 67}{space 3} .1372628
{txt}b_trea~l_z_d {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 1}c_tfull_hc2 {c |}{col 14}{res}{space 2}-.0364872{col 26}{space 2} .0302334{col 37}{space 1}   -1.21{col 46}{space 3}0.229{col 54}{space 4}-.0961317{col 67}{space 3} .0231573
{txt}c_tfull_b_~l {c |}{col 14}{res}{space 2} .0347704{col 26}{space 2} .0357458{col 37}{space 1}    0.97{col 46}{space 3}0.332{col 54}{space 4}-.0357489{col 67}{space 3} .1052897
{txt}c_tfull_b_~s {c |}{col 14}{res}{space 2} .0245656{col 26}{space 2}  .041264{col 37}{space 1}    0.60{col 46}{space 3}0.552{col 54}{space 4}-.0568401{col 67}{space 3} .1059713
{txt}c_tfull_b_~d {c |}{col 14}{res}{space 2} .0272133{col 26}{space 2} .0158992{col 37}{space 1}    1.71{col 46}{space 3}0.089{col 54}{space 4}-.0041525{col 67}{space 3} .0585792
{txt}c_tfull_ed~r {c |}{col 14}{res}{space 2}-.0016339{col 26}{space 2} .0011181{col 37}{space 1}   -1.46{col 46}{space 3}0.146{col 54}{space 4}-.0038397{col 67}{space 3} .0005718
{txt}c_tfull_b_~x {c |}{col 14}{res}{space 2}-.0095979{col 26}{space 2} .0053077{col 37}{space 1}   -1.81{col 46}{space 3}0.072{col 54}{space 4} -.020069{col 67}{space 3} .0008732
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} .0005086{col 26}{space 2}  .020236{col 37}{space 1}    0.03{col 46}{space 3}0.980{col 54}{space 4}-.0394129{col 67}{space 3} .0404301
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull = .119{p_end}

{txt}       F(  1,   186) ={res}    3.42
{txt}{col 13}Prob > F ={res}    0.0660

{p 0 7}{space 1}{text:( 1)}{space 1} treatfull = -.119{p_end}

{txt}       F(  1,   186) ={res}   51.56
{txt}{col 13}Prob > F ={res}    0.0000
{txt}note: b_treatqual_z_d omitted because of collinearity
{res}
{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}     7,288
{txt}{col 49}F({res}   8{txt},{res}    186{txt}){col 67}= {res}      6.45
{txt}{col 49}Prob > F{col 67}= {res}    0.0000
{txt}{col 49}R-squared{col 67}= {res}    0.0978
{txt}{col 49}Adj R-squared{col 67}= {res}    0.0950
{txt}{col 49}Root MSE{col 67}= {res}    0.3521

{txt}{ralign 78:(Std. Err. adjusted for {res:187} clusters in hc_id)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}e_treatq~l_z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2} .0702541{col 26}{space 2} .0263569{col 37}{space 1}    2.67{col 46}{space 3}0.008{col 54}{space 4} .0182572{col 67}{space 3}  .122251
{txt}b_treatq~l_z {c |}{col 14}{res}{space 2} .0975202{col 26}{space 2} .0201453{col 37}{space 1}    4.84{col 46}{space 3}0.000{col 54}{space 4} .0577777{col 67}{space 3} .1372628
{txt}b_trea~l_z_d {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 1}c_tfull_hc2 {c |}{col 14}{res}{space 2}-.0364872{col 26}{space 2} .0302334{col 37}{space 1}   -1.21{col 46}{space 3}0.229{col 54}{space 4}-.0961317{col 67}{space 3} .0231573
{txt}c_tfull_b_~l {c |}{col 14}{res}{space 2} .0347704{col 26}{space 2} .0357458{col 37}{space 1}    0.97{col 46}{space 3}0.332{col 54}{space 4}-.0357489{col 67}{space 3} .1052897
{txt}c_tfull_b_~s {c |}{col 14}{res}{space 2} .0245656{col 26}{space 2}  .041264{col 37}{space 1}    0.60{col 46}{space 3}0.552{col 54}{space 4}-.0568401{col 67}{space 3} .1059713
{txt}c_tfull_b_~d {c |}{col 14}{res}{space 2} .0272133{col 26}{space 2} .0158992{col 37}{space 1}    1.71{col 46}{space 3}0.089{col 54}{space 4}-.0041525{col 67}{space 3} .0585792
{txt}c_tfull_ed~r {c |}{col 14}{res}{space 2}-.0016339{col 26}{space 2} .0011181{col 37}{space 1}   -1.46{col 46}{space 3}0.146{col 54}{space 4}-.0038397{col 67}{space 3} .0005718
{txt}c_tfull_b_~x {c |}{col 14}{res}{space 2}-.0095979{col 26}{space 2} .0053077{col 37}{space 1}   -1.81{col 46}{space 3}0.072{col 54}{space 4} -.020069{col 67}{space 3} .0008732
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} .0005086{col 26}{space 2}  .020236{col 37}{space 1}    0.03{col 46}{space 3}0.980{col 54}{space 4}-.0394129{col 67}{space 3} .0404301
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull = .12{p_end}

{txt}       F(  1,   186) ={res}    3.56
{txt}{col 13}Prob > F ={res}    0.0607

{p 0 7}{space 1}{text:( 1)}{space 1} treatfull = -.12{p_end}

{txt}       F(  1,   186) ={res}   52.10
{txt}{col 13}Prob > F ={res}    0.0000
{txt}note: b_treatqual_z_d omitted because of collinearity
{res}
{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}     7,288
{txt}{col 49}F({res}   8{txt},{res}    186{txt}){col 67}= {res}      6.45
{txt}{col 49}Prob > F{col 67}= {res}    0.0000
{txt}{col 49}R-squared{col 67}= {res}    0.0978
{txt}{col 49}Adj R-squared{col 67}= {res}    0.0950
{txt}{col 49}Root MSE{col 67}= {res}    0.3521

{txt}{ralign 78:(Std. Err. adjusted for {res:187} clusters in hc_id)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}e_treatq~l_z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2} .0702541{col 26}{space 2} .0263569{col 37}{space 1}    2.67{col 46}{space 3}0.008{col 54}{space 4} .0182572{col 67}{space 3}  .122251
{txt}b_treatq~l_z {c |}{col 14}{res}{space 2} .0975202{col 26}{space 2} .0201453{col 37}{space 1}    4.84{col 46}{space 3}0.000{col 54}{space 4} .0577777{col 67}{space 3} .1372628
{txt}b_trea~l_z_d {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 1}c_tfull_hc2 {c |}{col 14}{res}{space 2}-.0364872{col 26}{space 2} .0302334{col 37}{space 1}   -1.21{col 46}{space 3}0.229{col 54}{space 4}-.0961317{col 67}{space 3} .0231573
{txt}c_tfull_b_~l {c |}{col 14}{res}{space 2} .0347704{col 26}{space 2} .0357458{col 37}{space 1}    0.97{col 46}{space 3}0.332{col 54}{space 4}-.0357489{col 67}{space 3} .1052897
{txt}c_tfull_b_~s {c |}{col 14}{res}{space 2} .0245656{col 26}{space 2}  .041264{col 37}{space 1}    0.60{col 46}{space 3}0.552{col 54}{space 4}-.0568401{col 67}{space 3} .1059713
{txt}c_tfull_b_~d {c |}{col 14}{res}{space 2} .0272133{col 26}{space 2} .0158992{col 37}{space 1}    1.71{col 46}{space 3}0.089{col 54}{space 4}-.0041525{col 67}{space 3} .0585792
{txt}c_tfull_ed~r {c |}{col 14}{res}{space 2}-.0016339{col 26}{space 2} .0011181{col 37}{space 1}   -1.46{col 46}{space 3}0.146{col 54}{space 4}-.0038397{col 67}{space 3} .0005718
{txt}c_tfull_b_~x {c |}{col 14}{res}{space 2}-.0095979{col 26}{space 2} .0053077{col 37}{space 1}   -1.81{col 46}{space 3}0.072{col 54}{space 4} -.020069{col 67}{space 3} .0008732
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} .0005086{col 26}{space 2}  .020236{col 37}{space 1}    0.03{col 46}{space 3}0.980{col 54}{space 4}-.0394129{col 67}{space 3} .0404301
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull = .121{p_end}

{txt}       F(  1,   186) ={res}    3.71
{txt}{col 13}Prob > F ={res}    0.0557

{p 0 7}{space 1}{text:( 1)}{space 1} treatfull = -.121{p_end}

{txt}       F(  1,   186) ={res}   52.65
{txt}{col 13}Prob > F ={res}    0.0000
{txt}note: b_treatqual_z_d omitted because of collinearity
{res}
{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}     7,288
{txt}{col 49}F({res}   8{txt},{res}    186{txt}){col 67}= {res}      6.45
{txt}{col 49}Prob > F{col 67}= {res}    0.0000
{txt}{col 49}R-squared{col 67}= {res}    0.0978
{txt}{col 49}Adj R-squared{col 67}= {res}    0.0950
{txt}{col 49}Root MSE{col 67}= {res}    0.3521

{txt}{ralign 78:(Std. Err. adjusted for {res:187} clusters in hc_id)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}e_treatq~l_z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2} .0702541{col 26}{space 2} .0263569{col 37}{space 1}    2.67{col 46}{space 3}0.008{col 54}{space 4} .0182572{col 67}{space 3}  .122251
{txt}b_treatq~l_z {c |}{col 14}{res}{space 2} .0975202{col 26}{space 2} .0201453{col 37}{space 1}    4.84{col 46}{space 3}0.000{col 54}{space 4} .0577777{col 67}{space 3} .1372628
{txt}b_trea~l_z_d {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 1}c_tfull_hc2 {c |}{col 14}{res}{space 2}-.0364872{col 26}{space 2} .0302334{col 37}{space 1}   -1.21{col 46}{space 3}0.229{col 54}{space 4}-.0961317{col 67}{space 3} .0231573
{txt}c_tfull_b_~l {c |}{col 14}{res}{space 2} .0347704{col 26}{space 2} .0357458{col 37}{space 1}    0.97{col 46}{space 3}0.332{col 54}{space 4}-.0357489{col 67}{space 3} .1052897
{txt}c_tfull_b_~s {c |}{col 14}{res}{space 2} .0245656{col 26}{space 2}  .041264{col 37}{space 1}    0.60{col 46}{space 3}0.552{col 54}{space 4}-.0568401{col 67}{space 3} .1059713
{txt}c_tfull_b_~d {c |}{col 14}{res}{space 2} .0272133{col 26}{space 2} .0158992{col 37}{space 1}    1.71{col 46}{space 3}0.089{col 54}{space 4}-.0041525{col 67}{space 3} .0585792
{txt}c_tfull_ed~r {c |}{col 14}{res}{space 2}-.0016339{col 26}{space 2} .0011181{col 37}{space 1}   -1.46{col 46}{space 3}0.146{col 54}{space 4}-.0038397{col 67}{space 3} .0005718
{txt}c_tfull_b_~x {c |}{col 14}{res}{space 2}-.0095979{col 26}{space 2} .0053077{col 37}{space 1}   -1.81{col 46}{space 3}0.072{col 54}{space 4} -.020069{col 67}{space 3} .0008732
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} .0005086{col 26}{space 2}  .020236{col 37}{space 1}    0.03{col 46}{space 3}0.980{col 54}{space 4}-.0394129{col 67}{space 3} .0404301
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull = .122{p_end}

{txt}       F(  1,   186) ={res}    3.85
{txt}{col 13}Prob > F ={res}    0.0511

{p 0 7}{space 1}{text:( 1)}{space 1} treatfull = -.122{p_end}

{txt}       F(  1,   186) ={res}   53.21
{txt}{col 13}Prob > F ={res}    0.0000
{txt}note: b_treatqual_z_d omitted because of collinearity
{res}
{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}     7,288
{txt}{col 49}F({res}   8{txt},{res}    186{txt}){col 67}= {res}      6.45
{txt}{col 49}Prob > F{col 67}= {res}    0.0000
{txt}{col 49}R-squared{col 67}= {res}    0.0978
{txt}{col 49}Adj R-squared{col 67}= {res}    0.0950
{txt}{col 49}Root MSE{col 67}= {res}    0.3521

{txt}{ralign 78:(Std. Err. adjusted for {res:187} clusters in hc_id)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}e_treatq~l_z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2} .0702541{col 26}{space 2} .0263569{col 37}{space 1}    2.67{col 46}{space 3}0.008{col 54}{space 4} .0182572{col 67}{space 3}  .122251
{txt}b_treatq~l_z {c |}{col 14}{res}{space 2} .0975202{col 26}{space 2} .0201453{col 37}{space 1}    4.84{col 46}{space 3}0.000{col 54}{space 4} .0577777{col 67}{space 3} .1372628
{txt}b_trea~l_z_d {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 1}c_tfull_hc2 {c |}{col 14}{res}{space 2}-.0364872{col 26}{space 2} .0302334{col 37}{space 1}   -1.21{col 46}{space 3}0.229{col 54}{space 4}-.0961317{col 67}{space 3} .0231573
{txt}c_tfull_b_~l {c |}{col 14}{res}{space 2} .0347704{col 26}{space 2} .0357458{col 37}{space 1}    0.97{col 46}{space 3}0.332{col 54}{space 4}-.0357489{col 67}{space 3} .1052897
{txt}c_tfull_b_~s {c |}{col 14}{res}{space 2} .0245656{col 26}{space 2}  .041264{col 37}{space 1}    0.60{col 46}{space 3}0.552{col 54}{space 4}-.0568401{col 67}{space 3} .1059713
{txt}c_tfull_b_~d {c |}{col 14}{res}{space 2} .0272133{col 26}{space 2} .0158992{col 37}{space 1}    1.71{col 46}{space 3}0.089{col 54}{space 4}-.0041525{col 67}{space 3} .0585792
{txt}c_tfull_ed~r {c |}{col 14}{res}{space 2}-.0016339{col 26}{space 2} .0011181{col 37}{space 1}   -1.46{col 46}{space 3}0.146{col 54}{space 4}-.0038397{col 67}{space 3} .0005718
{txt}c_tfull_b_~x {c |}{col 14}{res}{space 2}-.0095979{col 26}{space 2} .0053077{col 37}{space 1}   -1.81{col 46}{space 3}0.072{col 54}{space 4} -.020069{col 67}{space 3} .0008732
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} .0005086{col 26}{space 2}  .020236{col 37}{space 1}    0.03{col 46}{space 3}0.980{col 54}{space 4}-.0394129{col 67}{space 3} .0404301
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull = .123{p_end}

{txt}       F(  1,   186) ={res}    4.00
{txt}{col 13}Prob > F ={res}    0.0468

{p 0 7}{space 1}{text:( 1)}{space 1} treatfull = -.123{p_end}

{txt}       F(  1,   186) ={res}   53.76
{txt}{col 13}Prob > F ={res}    0.0000
{txt}note: b_treatqual_z_d omitted because of collinearity
{res}
{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}     7,288
{txt}{col 49}F({res}   8{txt},{res}    186{txt}){col 67}= {res}      6.45
{txt}{col 49}Prob > F{col 67}= {res}    0.0000
{txt}{col 49}R-squared{col 67}= {res}    0.0978
{txt}{col 49}Adj R-squared{col 67}= {res}    0.0950
{txt}{col 49}Root MSE{col 67}= {res}    0.3521

{txt}{ralign 78:(Std. Err. adjusted for {res:187} clusters in hc_id)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}e_treatq~l_z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2} .0702541{col 26}{space 2} .0263569{col 37}{space 1}    2.67{col 46}{space 3}0.008{col 54}{space 4} .0182572{col 67}{space 3}  .122251
{txt}b_treatq~l_z {c |}{col 14}{res}{space 2} .0975202{col 26}{space 2} .0201453{col 37}{space 1}    4.84{col 46}{space 3}0.000{col 54}{space 4} .0577777{col 67}{space 3} .1372628
{txt}b_trea~l_z_d {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 1}c_tfull_hc2 {c |}{col 14}{res}{space 2}-.0364872{col 26}{space 2} .0302334{col 37}{space 1}   -1.21{col 46}{space 3}0.229{col 54}{space 4}-.0961317{col 67}{space 3} .0231573
{txt}c_tfull_b_~l {c |}{col 14}{res}{space 2} .0347704{col 26}{space 2} .0357458{col 37}{space 1}    0.97{col 46}{space 3}0.332{col 54}{space 4}-.0357489{col 67}{space 3} .1052897
{txt}c_tfull_b_~s {c |}{col 14}{res}{space 2} .0245656{col 26}{space 2}  .041264{col 37}{space 1}    0.60{col 46}{space 3}0.552{col 54}{space 4}-.0568401{col 67}{space 3} .1059713
{txt}c_tfull_b_~d {c |}{col 14}{res}{space 2} .0272133{col 26}{space 2} .0158992{col 37}{space 1}    1.71{col 46}{space 3}0.089{col 54}{space 4}-.0041525{col 67}{space 3} .0585792
{txt}c_tfull_ed~r {c |}{col 14}{res}{space 2}-.0016339{col 26}{space 2} .0011181{col 37}{space 1}   -1.46{col 46}{space 3}0.146{col 54}{space 4}-.0038397{col 67}{space 3} .0005718
{txt}c_tfull_b_~x {c |}{col 14}{res}{space 2}-.0095979{col 26}{space 2} .0053077{col 37}{space 1}   -1.81{col 46}{space 3}0.072{col 54}{space 4} -.020069{col 67}{space 3} .0008732
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} .0005086{col 26}{space 2}  .020236{col 37}{space 1}    0.03{col 46}{space 3}0.980{col 54}{space 4}-.0394129{col 67}{space 3} .0404301
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull = .124{p_end}

{txt}       F(  1,   186) ={res}    4.16
{txt}{col 13}Prob > F ={res}    0.0428

{p 0 7}{space 1}{text:( 1)}{space 1} treatfull = -.124{p_end}

{txt}       F(  1,   186) ={res}   54.32
{txt}{col 13}Prob > F ={res}    0.0000
{txt}note: b_treatqual_z_d omitted because of collinearity
{res}
{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}     7,288
{txt}{col 49}F({res}   8{txt},{res}    186{txt}){col 67}= {res}      6.45
{txt}{col 49}Prob > F{col 67}= {res}    0.0000
{txt}{col 49}R-squared{col 67}= {res}    0.0978
{txt}{col 49}Adj R-squared{col 67}= {res}    0.0950
{txt}{col 49}Root MSE{col 67}= {res}    0.3521

{txt}{ralign 78:(Std. Err. adjusted for {res:187} clusters in hc_id)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}e_treatq~l_z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2} .0702541{col 26}{space 2} .0263569{col 37}{space 1}    2.67{col 46}{space 3}0.008{col 54}{space 4} .0182572{col 67}{space 3}  .122251
{txt}b_treatq~l_z {c |}{col 14}{res}{space 2} .0975202{col 26}{space 2} .0201453{col 37}{space 1}    4.84{col 46}{space 3}0.000{col 54}{space 4} .0577777{col 67}{space 3} .1372628
{txt}b_trea~l_z_d {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 1}c_tfull_hc2 {c |}{col 14}{res}{space 2}-.0364872{col 26}{space 2} .0302334{col 37}{space 1}   -1.21{col 46}{space 3}0.229{col 54}{space 4}-.0961317{col 67}{space 3} .0231573
{txt}c_tfull_b_~l {c |}{col 14}{res}{space 2} .0347704{col 26}{space 2} .0357458{col 37}{space 1}    0.97{col 46}{space 3}0.332{col 54}{space 4}-.0357489{col 67}{space 3} .1052897
{txt}c_tfull_b_~s {c |}{col 14}{res}{space 2} .0245656{col 26}{space 2}  .041264{col 37}{space 1}    0.60{col 46}{space 3}0.552{col 54}{space 4}-.0568401{col 67}{space 3} .1059713
{txt}c_tfull_b_~d {c |}{col 14}{res}{space 2} .0272133{col 26}{space 2} .0158992{col 37}{space 1}    1.71{col 46}{space 3}0.089{col 54}{space 4}-.0041525{col 67}{space 3} .0585792
{txt}c_tfull_ed~r {c |}{col 14}{res}{space 2}-.0016339{col 26}{space 2} .0011181{col 37}{space 1}   -1.46{col 46}{space 3}0.146{col 54}{space 4}-.0038397{col 67}{space 3} .0005718
{txt}c_tfull_b_~x {c |}{col 14}{res}{space 2}-.0095979{col 26}{space 2} .0053077{col 37}{space 1}   -1.81{col 46}{space 3}0.072{col 54}{space 4} -.020069{col 67}{space 3} .0008732
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} .0005086{col 26}{space 2}  .020236{col 37}{space 1}    0.03{col 46}{space 3}0.980{col 54}{space 4}-.0394129{col 67}{space 3} .0404301
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull = .125{p_end}

{txt}       F(  1,   186) ={res}    4.31
{txt}{col 13}Prob > F ={res}    0.0392

{p 0 7}{space 1}{text:( 1)}{space 1} treatfull = -.125{p_end}

{txt}       F(  1,   186) ={res}   54.88
{txt}{col 13}Prob > F ={res}    0.0000
{txt}note: b_treatqual_z_d omitted because of collinearity
{res}
{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}     7,288
{txt}{col 49}F({res}   8{txt},{res}    186{txt}){col 67}= {res}      6.45
{txt}{col 49}Prob > F{col 67}= {res}    0.0000
{txt}{col 49}R-squared{col 67}= {res}    0.0978
{txt}{col 49}Adj R-squared{col 67}= {res}    0.0950
{txt}{col 49}Root MSE{col 67}= {res}    0.3521

{txt}{ralign 78:(Std. Err. adjusted for {res:187} clusters in hc_id)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}e_treatq~l_z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2} .0702541{col 26}{space 2} .0263569{col 37}{space 1}    2.67{col 46}{space 3}0.008{col 54}{space 4} .0182572{col 67}{space 3}  .122251
{txt}b_treatq~l_z {c |}{col 14}{res}{space 2} .0975202{col 26}{space 2} .0201453{col 37}{space 1}    4.84{col 46}{space 3}0.000{col 54}{space 4} .0577777{col 67}{space 3} .1372628
{txt}b_trea~l_z_d {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 1}c_tfull_hc2 {c |}{col 14}{res}{space 2}-.0364872{col 26}{space 2} .0302334{col 37}{space 1}   -1.21{col 46}{space 3}0.229{col 54}{space 4}-.0961317{col 67}{space 3} .0231573
{txt}c_tfull_b_~l {c |}{col 14}{res}{space 2} .0347704{col 26}{space 2} .0357458{col 37}{space 1}    0.97{col 46}{space 3}0.332{col 54}{space 4}-.0357489{col 67}{space 3} .1052897
{txt}c_tfull_b_~s {c |}{col 14}{res}{space 2} .0245656{col 26}{space 2}  .041264{col 37}{space 1}    0.60{col 46}{space 3}0.552{col 54}{space 4}-.0568401{col 67}{space 3} .1059713
{txt}c_tfull_b_~d {c |}{col 14}{res}{space 2} .0272133{col 26}{space 2} .0158992{col 37}{space 1}    1.71{col 46}{space 3}0.089{col 54}{space 4}-.0041525{col 67}{space 3} .0585792
{txt}c_tfull_ed~r {c |}{col 14}{res}{space 2}-.0016339{col 26}{space 2} .0011181{col 37}{space 1}   -1.46{col 46}{space 3}0.146{col 54}{space 4}-.0038397{col 67}{space 3} .0005718
{txt}c_tfull_b_~x {c |}{col 14}{res}{space 2}-.0095979{col 26}{space 2} .0053077{col 37}{space 1}   -1.81{col 46}{space 3}0.072{col 54}{space 4} -.020069{col 67}{space 3} .0008732
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} .0005086{col 26}{space 2}  .020236{col 37}{space 1}    0.03{col 46}{space 3}0.980{col 54}{space 4}-.0394129{col 67}{space 3} .0404301
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull = .126{p_end}

{txt}       F(  1,   186) ={res}    4.47
{txt}{col 13}Prob > F ={res}    0.0358

{p 0 7}{space 1}{text:( 1)}{space 1} treatfull = -.126{p_end}

{txt}       F(  1,   186) ={res}   55.44
{txt}{col 13}Prob > F ={res}    0.0000
{txt}note: b_treatqual_z_d omitted because of collinearity
{res}
{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}     7,288
{txt}{col 49}F({res}   8{txt},{res}    186{txt}){col 67}= {res}      6.45
{txt}{col 49}Prob > F{col 67}= {res}    0.0000
{txt}{col 49}R-squared{col 67}= {res}    0.0978
{txt}{col 49}Adj R-squared{col 67}= {res}    0.0950
{txt}{col 49}Root MSE{col 67}= {res}    0.3521

{txt}{ralign 78:(Std. Err. adjusted for {res:187} clusters in hc_id)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}e_treatq~l_z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2} .0702541{col 26}{space 2} .0263569{col 37}{space 1}    2.67{col 46}{space 3}0.008{col 54}{space 4} .0182572{col 67}{space 3}  .122251
{txt}b_treatq~l_z {c |}{col 14}{res}{space 2} .0975202{col 26}{space 2} .0201453{col 37}{space 1}    4.84{col 46}{space 3}0.000{col 54}{space 4} .0577777{col 67}{space 3} .1372628
{txt}b_trea~l_z_d {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 1}c_tfull_hc2 {c |}{col 14}{res}{space 2}-.0364872{col 26}{space 2} .0302334{col 37}{space 1}   -1.21{col 46}{space 3}0.229{col 54}{space 4}-.0961317{col 67}{space 3} .0231573
{txt}c_tfull_b_~l {c |}{col 14}{res}{space 2} .0347704{col 26}{space 2} .0357458{col 37}{space 1}    0.97{col 46}{space 3}0.332{col 54}{space 4}-.0357489{col 67}{space 3} .1052897
{txt}c_tfull_b_~s {c |}{col 14}{res}{space 2} .0245656{col 26}{space 2}  .041264{col 37}{space 1}    0.60{col 46}{space 3}0.552{col 54}{space 4}-.0568401{col 67}{space 3} .1059713
{txt}c_tfull_b_~d {c |}{col 14}{res}{space 2} .0272133{col 26}{space 2} .0158992{col 37}{space 1}    1.71{col 46}{space 3}0.089{col 54}{space 4}-.0041525{col 67}{space 3} .0585792
{txt}c_tfull_ed~r {c |}{col 14}{res}{space 2}-.0016339{col 26}{space 2} .0011181{col 37}{space 1}   -1.46{col 46}{space 3}0.146{col 54}{space 4}-.0038397{col 67}{space 3} .0005718
{txt}c_tfull_b_~x {c |}{col 14}{res}{space 2}-.0095979{col 26}{space 2} .0053077{col 37}{space 1}   -1.81{col 46}{space 3}0.072{col 54}{space 4} -.020069{col 67}{space 3} .0008732
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} .0005086{col 26}{space 2}  .020236{col 37}{space 1}    0.03{col 46}{space 3}0.980{col 54}{space 4}-.0394129{col 67}{space 3} .0404301
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull = .127{p_end}

{txt}       F(  1,   186) ={res}    4.64
{txt}{col 13}Prob > F ={res}    0.0326

{p 0 7}{space 1}{text:( 1)}{space 1} treatfull = -.127{p_end}

{txt}       F(  1,   186) ={res}   56.01
{txt}{col 13}Prob > F ={res}    0.0000
{txt}note: b_treatqual_z_d omitted because of collinearity
{res}
{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}     7,288
{txt}{col 49}F({res}   8{txt},{res}    186{txt}){col 67}= {res}      6.45
{txt}{col 49}Prob > F{col 67}= {res}    0.0000
{txt}{col 49}R-squared{col 67}= {res}    0.0978
{txt}{col 49}Adj R-squared{col 67}= {res}    0.0950
{txt}{col 49}Root MSE{col 67}= {res}    0.3521

{txt}{ralign 78:(Std. Err. adjusted for {res:187} clusters in hc_id)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}e_treatq~l_z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2} .0702541{col 26}{space 2} .0263569{col 37}{space 1}    2.67{col 46}{space 3}0.008{col 54}{space 4} .0182572{col 67}{space 3}  .122251
{txt}b_treatq~l_z {c |}{col 14}{res}{space 2} .0975202{col 26}{space 2} .0201453{col 37}{space 1}    4.84{col 46}{space 3}0.000{col 54}{space 4} .0577777{col 67}{space 3} .1372628
{txt}b_trea~l_z_d {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 1}c_tfull_hc2 {c |}{col 14}{res}{space 2}-.0364872{col 26}{space 2} .0302334{col 37}{space 1}   -1.21{col 46}{space 3}0.229{col 54}{space 4}-.0961317{col 67}{space 3} .0231573
{txt}c_tfull_b_~l {c |}{col 14}{res}{space 2} .0347704{col 26}{space 2} .0357458{col 37}{space 1}    0.97{col 46}{space 3}0.332{col 54}{space 4}-.0357489{col 67}{space 3} .1052897
{txt}c_tfull_b_~s {c |}{col 14}{res}{space 2} .0245656{col 26}{space 2}  .041264{col 37}{space 1}    0.60{col 46}{space 3}0.552{col 54}{space 4}-.0568401{col 67}{space 3} .1059713
{txt}c_tfull_b_~d {c |}{col 14}{res}{space 2} .0272133{col 26}{space 2} .0158992{col 37}{space 1}    1.71{col 46}{space 3}0.089{col 54}{space 4}-.0041525{col 67}{space 3} .0585792
{txt}c_tfull_ed~r {c |}{col 14}{res}{space 2}-.0016339{col 26}{space 2} .0011181{col 37}{space 1}   -1.46{col 46}{space 3}0.146{col 54}{space 4}-.0038397{col 67}{space 3} .0005718
{txt}c_tfull_b_~x {c |}{col 14}{res}{space 2}-.0095979{col 26}{space 2} .0053077{col 37}{space 1}   -1.81{col 46}{space 3}0.072{col 54}{space 4} -.020069{col 67}{space 3} .0008732
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} .0005086{col 26}{space 2}  .020236{col 37}{space 1}    0.03{col 46}{space 3}0.980{col 54}{space 4}-.0394129{col 67}{space 3} .0404301
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull = .128{p_end}

{txt}       F(  1,   186) ={res}    4.80
{txt}{col 13}Prob > F ={res}    0.0297

{p 0 7}{space 1}{text:( 1)}{space 1} treatfull = -.128{p_end}

{txt}       F(  1,   186) ={res}   56.58
{txt}{col 13}Prob > F ={res}    0.0000
{txt}note: b_treatqual_z_d omitted because of collinearity
{res}
{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}     7,288
{txt}{col 49}F({res}   8{txt},{res}    186{txt}){col 67}= {res}      6.45
{txt}{col 49}Prob > F{col 67}= {res}    0.0000
{txt}{col 49}R-squared{col 67}= {res}    0.0978
{txt}{col 49}Adj R-squared{col 67}= {res}    0.0950
{txt}{col 49}Root MSE{col 67}= {res}    0.3521

{txt}{ralign 78:(Std. Err. adjusted for {res:187} clusters in hc_id)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}e_treatq~l_z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2} .0702541{col 26}{space 2} .0263569{col 37}{space 1}    2.67{col 46}{space 3}0.008{col 54}{space 4} .0182572{col 67}{space 3}  .122251
{txt}b_treatq~l_z {c |}{col 14}{res}{space 2} .0975202{col 26}{space 2} .0201453{col 37}{space 1}    4.84{col 46}{space 3}0.000{col 54}{space 4} .0577777{col 67}{space 3} .1372628
{txt}b_trea~l_z_d {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 1}c_tfull_hc2 {c |}{col 14}{res}{space 2}-.0364872{col 26}{space 2} .0302334{col 37}{space 1}   -1.21{col 46}{space 3}0.229{col 54}{space 4}-.0961317{col 67}{space 3} .0231573
{txt}c_tfull_b_~l {c |}{col 14}{res}{space 2} .0347704{col 26}{space 2} .0357458{col 37}{space 1}    0.97{col 46}{space 3}0.332{col 54}{space 4}-.0357489{col 67}{space 3} .1052897
{txt}c_tfull_b_~s {c |}{col 14}{res}{space 2} .0245656{col 26}{space 2}  .041264{col 37}{space 1}    0.60{col 46}{space 3}0.552{col 54}{space 4}-.0568401{col 67}{space 3} .1059713
{txt}c_tfull_b_~d {c |}{col 14}{res}{space 2} .0272133{col 26}{space 2} .0158992{col 37}{space 1}    1.71{col 46}{space 3}0.089{col 54}{space 4}-.0041525{col 67}{space 3} .0585792
{txt}c_tfull_ed~r {c |}{col 14}{res}{space 2}-.0016339{col 26}{space 2} .0011181{col 37}{space 1}   -1.46{col 46}{space 3}0.146{col 54}{space 4}-.0038397{col 67}{space 3} .0005718
{txt}c_tfull_b_~x {c |}{col 14}{res}{space 2}-.0095979{col 26}{space 2} .0053077{col 37}{space 1}   -1.81{col 46}{space 3}0.072{col 54}{space 4} -.020069{col 67}{space 3} .0008732
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} .0005086{col 26}{space 2}  .020236{col 37}{space 1}    0.03{col 46}{space 3}0.980{col 54}{space 4}-.0394129{col 67}{space 3} .0404301
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull = .129{p_end}

{txt}       F(  1,   186) ={res}    4.97
{txt}{col 13}Prob > F ={res}    0.0270

{p 0 7}{space 1}{text:( 1)}{space 1} treatfull = -.129{p_end}

{txt}       F(  1,   186) ={res}   57.15
{txt}{col 13}Prob > F ={res}    0.0000
{txt}note: b_treatqual_z_d omitted because of collinearity
{res}
{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}     7,288
{txt}{col 49}F({res}   8{txt},{res}    186{txt}){col 67}= {res}      6.45
{txt}{col 49}Prob > F{col 67}= {res}    0.0000
{txt}{col 49}R-squared{col 67}= {res}    0.0978
{txt}{col 49}Adj R-squared{col 67}= {res}    0.0950
{txt}{col 49}Root MSE{col 67}= {res}    0.3521

{txt}{ralign 78:(Std. Err. adjusted for {res:187} clusters in hc_id)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}e_treatq~l_z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2} .0702541{col 26}{space 2} .0263569{col 37}{space 1}    2.67{col 46}{space 3}0.008{col 54}{space 4} .0182572{col 67}{space 3}  .122251
{txt}b_treatq~l_z {c |}{col 14}{res}{space 2} .0975202{col 26}{space 2} .0201453{col 37}{space 1}    4.84{col 46}{space 3}0.000{col 54}{space 4} .0577777{col 67}{space 3} .1372628
{txt}b_trea~l_z_d {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 1}c_tfull_hc2 {c |}{col 14}{res}{space 2}-.0364872{col 26}{space 2} .0302334{col 37}{space 1}   -1.21{col 46}{space 3}0.229{col 54}{space 4}-.0961317{col 67}{space 3} .0231573
{txt}c_tfull_b_~l {c |}{col 14}{res}{space 2} .0347704{col 26}{space 2} .0357458{col 37}{space 1}    0.97{col 46}{space 3}0.332{col 54}{space 4}-.0357489{col 67}{space 3} .1052897
{txt}c_tfull_b_~s {c |}{col 14}{res}{space 2} .0245656{col 26}{space 2}  .041264{col 37}{space 1}    0.60{col 46}{space 3}0.552{col 54}{space 4}-.0568401{col 67}{space 3} .1059713
{txt}c_tfull_b_~d {c |}{col 14}{res}{space 2} .0272133{col 26}{space 2} .0158992{col 37}{space 1}    1.71{col 46}{space 3}0.089{col 54}{space 4}-.0041525{col 67}{space 3} .0585792
{txt}c_tfull_ed~r {c |}{col 14}{res}{space 2}-.0016339{col 26}{space 2} .0011181{col 37}{space 1}   -1.46{col 46}{space 3}0.146{col 54}{space 4}-.0038397{col 67}{space 3} .0005718
{txt}c_tfull_b_~x {c |}{col 14}{res}{space 2}-.0095979{col 26}{space 2} .0053077{col 37}{space 1}   -1.81{col 46}{space 3}0.072{col 54}{space 4} -.020069{col 67}{space 3} .0008732
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} .0005086{col 26}{space 2}  .020236{col 37}{space 1}    0.03{col 46}{space 3}0.980{col 54}{space 4}-.0394129{col 67}{space 3} .0404301
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull = .13{p_end}

{txt}       F(  1,   186) ={res}    5.14
{txt}{col 13}Prob > F ={res}    0.0246

{p 0 7}{space 1}{text:( 1)}{space 1} treatfull = -.13{p_end}

{txt}       F(  1,   186) ={res}   57.73
{txt}{col 13}Prob > F ={res}    0.0000
{txt}note: b_treatqual_z_d omitted because of collinearity
{res}
{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}     7,288
{txt}{col 49}F({res}   8{txt},{res}    186{txt}){col 67}= {res}      6.45
{txt}{col 49}Prob > F{col 67}= {res}    0.0000
{txt}{col 49}R-squared{col 67}= {res}    0.0978
{txt}{col 49}Adj R-squared{col 67}= {res}    0.0950
{txt}{col 49}Root MSE{col 67}= {res}    0.3521

{txt}{ralign 78:(Std. Err. adjusted for {res:187} clusters in hc_id)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}e_treatq~l_z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2} .0702541{col 26}{space 2} .0263569{col 37}{space 1}    2.67{col 46}{space 3}0.008{col 54}{space 4} .0182572{col 67}{space 3}  .122251
{txt}b_treatq~l_z {c |}{col 14}{res}{space 2} .0975202{col 26}{space 2} .0201453{col 37}{space 1}    4.84{col 46}{space 3}0.000{col 54}{space 4} .0577777{col 67}{space 3} .1372628
{txt}b_trea~l_z_d {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 1}c_tfull_hc2 {c |}{col 14}{res}{space 2}-.0364872{col 26}{space 2} .0302334{col 37}{space 1}   -1.21{col 46}{space 3}0.229{col 54}{space 4}-.0961317{col 67}{space 3} .0231573
{txt}c_tfull_b_~l {c |}{col 14}{res}{space 2} .0347704{col 26}{space 2} .0357458{col 37}{space 1}    0.97{col 46}{space 3}0.332{col 54}{space 4}-.0357489{col 67}{space 3} .1052897
{txt}c_tfull_b_~s {c |}{col 14}{res}{space 2} .0245656{col 26}{space 2}  .041264{col 37}{space 1}    0.60{col 46}{space 3}0.552{col 54}{space 4}-.0568401{col 67}{space 3} .1059713
{txt}c_tfull_b_~d {c |}{col 14}{res}{space 2} .0272133{col 26}{space 2} .0158992{col 37}{space 1}    1.71{col 46}{space 3}0.089{col 54}{space 4}-.0041525{col 67}{space 3} .0585792
{txt}c_tfull_ed~r {c |}{col 14}{res}{space 2}-.0016339{col 26}{space 2} .0011181{col 37}{space 1}   -1.46{col 46}{space 3}0.146{col 54}{space 4}-.0038397{col 67}{space 3} .0005718
{txt}c_tfull_b_~x {c |}{col 14}{res}{space 2}-.0095979{col 26}{space 2} .0053077{col 37}{space 1}   -1.81{col 46}{space 3}0.072{col 54}{space 4} -.020069{col 67}{space 3} .0008732
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} .0005086{col 26}{space 2}  .020236{col 37}{space 1}    0.03{col 46}{space 3}0.980{col 54}{space 4}-.0394129{col 67}{space 3} .0404301
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull = .131{p_end}

{txt}       F(  1,   186) ={res}    5.31
{txt}{col 13}Prob > F ={res}    0.0223

{p 0 7}{space 1}{text:( 1)}{space 1} treatfull = -.131{p_end}

{txt}       F(  1,   186) ={res}   58.30
{txt}{col 13}Prob > F ={res}    0.0000
{txt}note: b_treatqual_z_d omitted because of collinearity
{res}
{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}     7,288
{txt}{col 49}F({res}   8{txt},{res}    186{txt}){col 67}= {res}      6.45
{txt}{col 49}Prob > F{col 67}= {res}    0.0000
{txt}{col 49}R-squared{col 67}= {res}    0.0978
{txt}{col 49}Adj R-squared{col 67}= {res}    0.0950
{txt}{col 49}Root MSE{col 67}= {res}    0.3521

{txt}{ralign 78:(Std. Err. adjusted for {res:187} clusters in hc_id)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}e_treatq~l_z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2} .0702541{col 26}{space 2} .0263569{col 37}{space 1}    2.67{col 46}{space 3}0.008{col 54}{space 4} .0182572{col 67}{space 3}  .122251
{txt}b_treatq~l_z {c |}{col 14}{res}{space 2} .0975202{col 26}{space 2} .0201453{col 37}{space 1}    4.84{col 46}{space 3}0.000{col 54}{space 4} .0577777{col 67}{space 3} .1372628
{txt}b_trea~l_z_d {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 1}c_tfull_hc2 {c |}{col 14}{res}{space 2}-.0364872{col 26}{space 2} .0302334{col 37}{space 1}   -1.21{col 46}{space 3}0.229{col 54}{space 4}-.0961317{col 67}{space 3} .0231573
{txt}c_tfull_b_~l {c |}{col 14}{res}{space 2} .0347704{col 26}{space 2} .0357458{col 37}{space 1}    0.97{col 46}{space 3}0.332{col 54}{space 4}-.0357489{col 67}{space 3} .1052897
{txt}c_tfull_b_~s {c |}{col 14}{res}{space 2} .0245656{col 26}{space 2}  .041264{col 37}{space 1}    0.60{col 46}{space 3}0.552{col 54}{space 4}-.0568401{col 67}{space 3} .1059713
{txt}c_tfull_b_~d {c |}{col 14}{res}{space 2} .0272133{col 26}{space 2} .0158992{col 37}{space 1}    1.71{col 46}{space 3}0.089{col 54}{space 4}-.0041525{col 67}{space 3} .0585792
{txt}c_tfull_ed~r {c |}{col 14}{res}{space 2}-.0016339{col 26}{space 2} .0011181{col 37}{space 1}   -1.46{col 46}{space 3}0.146{col 54}{space 4}-.0038397{col 67}{space 3} .0005718
{txt}c_tfull_b_~x {c |}{col 14}{res}{space 2}-.0095979{col 26}{space 2} .0053077{col 37}{space 1}   -1.81{col 46}{space 3}0.072{col 54}{space 4} -.020069{col 67}{space 3} .0008732
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} .0005086{col 26}{space 2}  .020236{col 37}{space 1}    0.03{col 46}{space 3}0.980{col 54}{space 4}-.0394129{col 67}{space 3} .0404301
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull = .132{p_end}

{txt}       F(  1,   186) ={res}    5.49
{txt}{col 13}Prob > F ={res}    0.0202

{p 0 7}{space 1}{text:( 1)}{space 1} treatfull = -.132{p_end}

{txt}       F(  1,   186) ={res}   58.89
{txt}{col 13}Prob > F ={res}    0.0000
{txt}note: b_treatqual_z_d omitted because of collinearity
{res}
{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}     7,288
{txt}{col 49}F({res}   8{txt},{res}    186{txt}){col 67}= {res}      6.45
{txt}{col 49}Prob > F{col 67}= {res}    0.0000
{txt}{col 49}R-squared{col 67}= {res}    0.0978
{txt}{col 49}Adj R-squared{col 67}= {res}    0.0950
{txt}{col 49}Root MSE{col 67}= {res}    0.3521

{txt}{ralign 78:(Std. Err. adjusted for {res:187} clusters in hc_id)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}e_treatq~l_z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2} .0702541{col 26}{space 2} .0263569{col 37}{space 1}    2.67{col 46}{space 3}0.008{col 54}{space 4} .0182572{col 67}{space 3}  .122251
{txt}b_treatq~l_z {c |}{col 14}{res}{space 2} .0975202{col 26}{space 2} .0201453{col 37}{space 1}    4.84{col 46}{space 3}0.000{col 54}{space 4} .0577777{col 67}{space 3} .1372628
{txt}b_trea~l_z_d {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 1}c_tfull_hc2 {c |}{col 14}{res}{space 2}-.0364872{col 26}{space 2} .0302334{col 37}{space 1}   -1.21{col 46}{space 3}0.229{col 54}{space 4}-.0961317{col 67}{space 3} .0231573
{txt}c_tfull_b_~l {c |}{col 14}{res}{space 2} .0347704{col 26}{space 2} .0357458{col 37}{space 1}    0.97{col 46}{space 3}0.332{col 54}{space 4}-.0357489{col 67}{space 3} .1052897
{txt}c_tfull_b_~s {c |}{col 14}{res}{space 2} .0245656{col 26}{space 2}  .041264{col 37}{space 1}    0.60{col 46}{space 3}0.552{col 54}{space 4}-.0568401{col 67}{space 3} .1059713
{txt}c_tfull_b_~d {c |}{col 14}{res}{space 2} .0272133{col 26}{space 2} .0158992{col 37}{space 1}    1.71{col 46}{space 3}0.089{col 54}{space 4}-.0041525{col 67}{space 3} .0585792
{txt}c_tfull_ed~r {c |}{col 14}{res}{space 2}-.0016339{col 26}{space 2} .0011181{col 37}{space 1}   -1.46{col 46}{space 3}0.146{col 54}{space 4}-.0038397{col 67}{space 3} .0005718
{txt}c_tfull_b_~x {c |}{col 14}{res}{space 2}-.0095979{col 26}{space 2} .0053077{col 37}{space 1}   -1.81{col 46}{space 3}0.072{col 54}{space 4} -.020069{col 67}{space 3} .0008732
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} .0005086{col 26}{space 2}  .020236{col 37}{space 1}    0.03{col 46}{space 3}0.980{col 54}{space 4}-.0394129{col 67}{space 3} .0404301
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull = .133{p_end}

{txt}       F(  1,   186) ={res}    5.67
{txt}{col 13}Prob > F ={res}    0.0183

{p 0 7}{space 1}{text:( 1)}{space 1} treatfull = -.133{p_end}

{txt}       F(  1,   186) ={res}   59.47
{txt}{col 13}Prob > F ={res}    0.0000
{txt}note: b_treatqual_z_d omitted because of collinearity
{res}
{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}     7,288
{txt}{col 49}F({res}   8{txt},{res}    186{txt}){col 67}= {res}      6.45
{txt}{col 49}Prob > F{col 67}= {res}    0.0000
{txt}{col 49}R-squared{col 67}= {res}    0.0978
{txt}{col 49}Adj R-squared{col 67}= {res}    0.0950
{txt}{col 49}Root MSE{col 67}= {res}    0.3521

{txt}{ralign 78:(Std. Err. adjusted for {res:187} clusters in hc_id)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}e_treatq~l_z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2} .0702541{col 26}{space 2} .0263569{col 37}{space 1}    2.67{col 46}{space 3}0.008{col 54}{space 4} .0182572{col 67}{space 3}  .122251
{txt}b_treatq~l_z {c |}{col 14}{res}{space 2} .0975202{col 26}{space 2} .0201453{col 37}{space 1}    4.84{col 46}{space 3}0.000{col 54}{space 4} .0577777{col 67}{space 3} .1372628
{txt}b_trea~l_z_d {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 1}c_tfull_hc2 {c |}{col 14}{res}{space 2}-.0364872{col 26}{space 2} .0302334{col 37}{space 1}   -1.21{col 46}{space 3}0.229{col 54}{space 4}-.0961317{col 67}{space 3} .0231573
{txt}c_tfull_b_~l {c |}{col 14}{res}{space 2} .0347704{col 26}{space 2} .0357458{col 37}{space 1}    0.97{col 46}{space 3}0.332{col 54}{space 4}-.0357489{col 67}{space 3} .1052897
{txt}c_tfull_b_~s {c |}{col 14}{res}{space 2} .0245656{col 26}{space 2}  .041264{col 37}{space 1}    0.60{col 46}{space 3}0.552{col 54}{space 4}-.0568401{col 67}{space 3} .1059713
{txt}c_tfull_b_~d {c |}{col 14}{res}{space 2} .0272133{col 26}{space 2} .0158992{col 37}{space 1}    1.71{col 46}{space 3}0.089{col 54}{space 4}-.0041525{col 67}{space 3} .0585792
{txt}c_tfull_ed~r {c |}{col 14}{res}{space 2}-.0016339{col 26}{space 2} .0011181{col 37}{space 1}   -1.46{col 46}{space 3}0.146{col 54}{space 4}-.0038397{col 67}{space 3} .0005718
{txt}c_tfull_b_~x {c |}{col 14}{res}{space 2}-.0095979{col 26}{space 2} .0053077{col 37}{space 1}   -1.81{col 46}{space 3}0.072{col 54}{space 4} -.020069{col 67}{space 3} .0008732
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} .0005086{col 26}{space 2}  .020236{col 37}{space 1}    0.03{col 46}{space 3}0.980{col 54}{space 4}-.0394129{col 67}{space 3} .0404301
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull = .134{p_end}

{txt}       F(  1,   186) ={res}    5.85
{txt}{col 13}Prob > F ={res}    0.0165

{p 0 7}{space 1}{text:( 1)}{space 1} treatfull = -.134{p_end}

{txt}       F(  1,   186) ={res}   60.06
{txt}{col 13}Prob > F ={res}    0.0000
{txt}note: b_treatqual_z_d omitted because of collinearity
{res}
{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}     7,288
{txt}{col 49}F({res}   8{txt},{res}    186{txt}){col 67}= {res}      6.45
{txt}{col 49}Prob > F{col 67}= {res}    0.0000
{txt}{col 49}R-squared{col 67}= {res}    0.0978
{txt}{col 49}Adj R-squared{col 67}= {res}    0.0950
{txt}{col 49}Root MSE{col 67}= {res}    0.3521

{txt}{ralign 78:(Std. Err. adjusted for {res:187} clusters in hc_id)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}e_treatq~l_z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2} .0702541{col 26}{space 2} .0263569{col 37}{space 1}    2.67{col 46}{space 3}0.008{col 54}{space 4} .0182572{col 67}{space 3}  .122251
{txt}b_treatq~l_z {c |}{col 14}{res}{space 2} .0975202{col 26}{space 2} .0201453{col 37}{space 1}    4.84{col 46}{space 3}0.000{col 54}{space 4} .0577777{col 67}{space 3} .1372628
{txt}b_trea~l_z_d {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 1}c_tfull_hc2 {c |}{col 14}{res}{space 2}-.0364872{col 26}{space 2} .0302334{col 37}{space 1}   -1.21{col 46}{space 3}0.229{col 54}{space 4}-.0961317{col 67}{space 3} .0231573
{txt}c_tfull_b_~l {c |}{col 14}{res}{space 2} .0347704{col 26}{space 2} .0357458{col 37}{space 1}    0.97{col 46}{space 3}0.332{col 54}{space 4}-.0357489{col 67}{space 3} .1052897
{txt}c_tfull_b_~s {c |}{col 14}{res}{space 2} .0245656{col 26}{space 2}  .041264{col 37}{space 1}    0.60{col 46}{space 3}0.552{col 54}{space 4}-.0568401{col 67}{space 3} .1059713
{txt}c_tfull_b_~d {c |}{col 14}{res}{space 2} .0272133{col 26}{space 2} .0158992{col 37}{space 1}    1.71{col 46}{space 3}0.089{col 54}{space 4}-.0041525{col 67}{space 3} .0585792
{txt}c_tfull_ed~r {c |}{col 14}{res}{space 2}-.0016339{col 26}{space 2} .0011181{col 37}{space 1}   -1.46{col 46}{space 3}0.146{col 54}{space 4}-.0038397{col 67}{space 3} .0005718
{txt}c_tfull_b_~x {c |}{col 14}{res}{space 2}-.0095979{col 26}{space 2} .0053077{col 37}{space 1}   -1.81{col 46}{space 3}0.072{col 54}{space 4} -.020069{col 67}{space 3} .0008732
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} .0005086{col 26}{space 2}  .020236{col 37}{space 1}    0.03{col 46}{space 3}0.980{col 54}{space 4}-.0394129{col 67}{space 3} .0404301
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull = .135{p_end}

{txt}       F(  1,   186) ={res}    6.03
{txt}{col 13}Prob > F ={res}    0.0149

{p 0 7}{space 1}{text:( 1)}{space 1} treatfull = -.135{p_end}

{txt}       F(  1,   186) ={res}   60.64
{txt}{col 13}Prob > F ={res}    0.0000
{txt}note: b_treatqual_z_d omitted because of collinearity
{res}
{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}     7,288
{txt}{col 49}F({res}   8{txt},{res}    186{txt}){col 67}= {res}      6.45
{txt}{col 49}Prob > F{col 67}= {res}    0.0000
{txt}{col 49}R-squared{col 67}= {res}    0.0978
{txt}{col 49}Adj R-squared{col 67}= {res}    0.0950
{txt}{col 49}Root MSE{col 67}= {res}    0.3521

{txt}{ralign 78:(Std. Err. adjusted for {res:187} clusters in hc_id)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}e_treatq~l_z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2} .0702541{col 26}{space 2} .0263569{col 37}{space 1}    2.67{col 46}{space 3}0.008{col 54}{space 4} .0182572{col 67}{space 3}  .122251
{txt}b_treatq~l_z {c |}{col 14}{res}{space 2} .0975202{col 26}{space 2} .0201453{col 37}{space 1}    4.84{col 46}{space 3}0.000{col 54}{space 4} .0577777{col 67}{space 3} .1372628
{txt}b_trea~l_z_d {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 1}c_tfull_hc2 {c |}{col 14}{res}{space 2}-.0364872{col 26}{space 2} .0302334{col 37}{space 1}   -1.21{col 46}{space 3}0.229{col 54}{space 4}-.0961317{col 67}{space 3} .0231573
{txt}c_tfull_b_~l {c |}{col 14}{res}{space 2} .0347704{col 26}{space 2} .0357458{col 37}{space 1}    0.97{col 46}{space 3}0.332{col 54}{space 4}-.0357489{col 67}{space 3} .1052897
{txt}c_tfull_b_~s {c |}{col 14}{res}{space 2} .0245656{col 26}{space 2}  .041264{col 37}{space 1}    0.60{col 46}{space 3}0.552{col 54}{space 4}-.0568401{col 67}{space 3} .1059713
{txt}c_tfull_b_~d {c |}{col 14}{res}{space 2} .0272133{col 26}{space 2} .0158992{col 37}{space 1}    1.71{col 46}{space 3}0.089{col 54}{space 4}-.0041525{col 67}{space 3} .0585792
{txt}c_tfull_ed~r {c |}{col 14}{res}{space 2}-.0016339{col 26}{space 2} .0011181{col 37}{space 1}   -1.46{col 46}{space 3}0.146{col 54}{space 4}-.0038397{col 67}{space 3} .0005718
{txt}c_tfull_b_~x {c |}{col 14}{res}{space 2}-.0095979{col 26}{space 2} .0053077{col 37}{space 1}   -1.81{col 46}{space 3}0.072{col 54}{space 4} -.020069{col 67}{space 3} .0008732
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} .0005086{col 26}{space 2}  .020236{col 37}{space 1}    0.03{col 46}{space 3}0.980{col 54}{space 4}-.0394129{col 67}{space 3} .0404301
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull = .136{p_end}

{txt}       F(  1,   186) ={res}    6.22
{txt}{col 13}Prob > F ={res}    0.0135

{p 0 7}{space 1}{text:( 1)}{space 1} treatfull = -.136{p_end}

{txt}       F(  1,   186) ={res}   61.24
{txt}{col 13}Prob > F ={res}    0.0000
{txt}note: b_treatqual_z_d omitted because of collinearity
{res}
{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}     7,288
{txt}{col 49}F({res}   8{txt},{res}    186{txt}){col 67}= {res}      6.45
{txt}{col 49}Prob > F{col 67}= {res}    0.0000
{txt}{col 49}R-squared{col 67}= {res}    0.0978
{txt}{col 49}Adj R-squared{col 67}= {res}    0.0950
{txt}{col 49}Root MSE{col 67}= {res}    0.3521

{txt}{ralign 78:(Std. Err. adjusted for {res:187} clusters in hc_id)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}e_treatq~l_z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2} .0702541{col 26}{space 2} .0263569{col 37}{space 1}    2.67{col 46}{space 3}0.008{col 54}{space 4} .0182572{col 67}{space 3}  .122251
{txt}b_treatq~l_z {c |}{col 14}{res}{space 2} .0975202{col 26}{space 2} .0201453{col 37}{space 1}    4.84{col 46}{space 3}0.000{col 54}{space 4} .0577777{col 67}{space 3} .1372628
{txt}b_trea~l_z_d {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 1}c_tfull_hc2 {c |}{col 14}{res}{space 2}-.0364872{col 26}{space 2} .0302334{col 37}{space 1}   -1.21{col 46}{space 3}0.229{col 54}{space 4}-.0961317{col 67}{space 3} .0231573
{txt}c_tfull_b_~l {c |}{col 14}{res}{space 2} .0347704{col 26}{space 2} .0357458{col 37}{space 1}    0.97{col 46}{space 3}0.332{col 54}{space 4}-.0357489{col 67}{space 3} .1052897
{txt}c_tfull_b_~s {c |}{col 14}{res}{space 2} .0245656{col 26}{space 2}  .041264{col 37}{space 1}    0.60{col 46}{space 3}0.552{col 54}{space 4}-.0568401{col 67}{space 3} .1059713
{txt}c_tfull_b_~d {c |}{col 14}{res}{space 2} .0272133{col 26}{space 2} .0158992{col 37}{space 1}    1.71{col 46}{space 3}0.089{col 54}{space 4}-.0041525{col 67}{space 3} .0585792
{txt}c_tfull_ed~r {c |}{col 14}{res}{space 2}-.0016339{col 26}{space 2} .0011181{col 37}{space 1}   -1.46{col 46}{space 3}0.146{col 54}{space 4}-.0038397{col 67}{space 3} .0005718
{txt}c_tfull_b_~x {c |}{col 14}{res}{space 2}-.0095979{col 26}{space 2} .0053077{col 37}{space 1}   -1.81{col 46}{space 3}0.072{col 54}{space 4} -.020069{col 67}{space 3} .0008732
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} .0005086{col 26}{space 2}  .020236{col 37}{space 1}    0.03{col 46}{space 3}0.980{col 54}{space 4}-.0394129{col 67}{space 3} .0404301
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull = .137{p_end}

{txt}       F(  1,   186) ={res}    6.41
{txt}{col 13}Prob > F ={res}    0.0122

{p 0 7}{space 1}{text:( 1)}{space 1} treatfull = -.137{p_end}

{txt}       F(  1,   186) ={res}   61.83
{txt}{col 13}Prob > F ={res}    0.0000
{txt}note: b_treatqual_z_d omitted because of collinearity
{res}
{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}     7,288
{txt}{col 49}F({res}   8{txt},{res}    186{txt}){col 67}= {res}      6.45
{txt}{col 49}Prob > F{col 67}= {res}    0.0000
{txt}{col 49}R-squared{col 67}= {res}    0.0978
{txt}{col 49}Adj R-squared{col 67}= {res}    0.0950
{txt}{col 49}Root MSE{col 67}= {res}    0.3521

{txt}{ralign 78:(Std. Err. adjusted for {res:187} clusters in hc_id)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}e_treatq~l_z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2} .0702541{col 26}{space 2} .0263569{col 37}{space 1}    2.67{col 46}{space 3}0.008{col 54}{space 4} .0182572{col 67}{space 3}  .122251
{txt}b_treatq~l_z {c |}{col 14}{res}{space 2} .0975202{col 26}{space 2} .0201453{col 37}{space 1}    4.84{col 46}{space 3}0.000{col 54}{space 4} .0577777{col 67}{space 3} .1372628
{txt}b_trea~l_z_d {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 1}c_tfull_hc2 {c |}{col 14}{res}{space 2}-.0364872{col 26}{space 2} .0302334{col 37}{space 1}   -1.21{col 46}{space 3}0.229{col 54}{space 4}-.0961317{col 67}{space 3} .0231573
{txt}c_tfull_b_~l {c |}{col 14}{res}{space 2} .0347704{col 26}{space 2} .0357458{col 37}{space 1}    0.97{col 46}{space 3}0.332{col 54}{space 4}-.0357489{col 67}{space 3} .1052897
{txt}c_tfull_b_~s {c |}{col 14}{res}{space 2} .0245656{col 26}{space 2}  .041264{col 37}{space 1}    0.60{col 46}{space 3}0.552{col 54}{space 4}-.0568401{col 67}{space 3} .1059713
{txt}c_tfull_b_~d {c |}{col 14}{res}{space 2} .0272133{col 26}{space 2} .0158992{col 37}{space 1}    1.71{col 46}{space 3}0.089{col 54}{space 4}-.0041525{col 67}{space 3} .0585792
{txt}c_tfull_ed~r {c |}{col 14}{res}{space 2}-.0016339{col 26}{space 2} .0011181{col 37}{space 1}   -1.46{col 46}{space 3}0.146{col 54}{space 4}-.0038397{col 67}{space 3} .0005718
{txt}c_tfull_b_~x {c |}{col 14}{res}{space 2}-.0095979{col 26}{space 2} .0053077{col 37}{space 1}   -1.81{col 46}{space 3}0.072{col 54}{space 4} -.020069{col 67}{space 3} .0008732
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} .0005086{col 26}{space 2}  .020236{col 37}{space 1}    0.03{col 46}{space 3}0.980{col 54}{space 4}-.0394129{col 67}{space 3} .0404301
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull = .138{p_end}

{txt}       F(  1,   186) ={res}    6.61
{txt}{col 13}Prob > F ={res}    0.0109

{p 0 7}{space 1}{text:( 1)}{space 1} treatfull = -.138{p_end}

{txt}       F(  1,   186) ={res}   62.43
{txt}{col 13}Prob > F ={res}    0.0000
{txt}note: b_treatqual_z_d omitted because of collinearity
{res}
{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}     7,288
{txt}{col 49}F({res}   8{txt},{res}    186{txt}){col 67}= {res}      6.45
{txt}{col 49}Prob > F{col 67}= {res}    0.0000
{txt}{col 49}R-squared{col 67}= {res}    0.0978
{txt}{col 49}Adj R-squared{col 67}= {res}    0.0950
{txt}{col 49}Root MSE{col 67}= {res}    0.3521

{txt}{ralign 78:(Std. Err. adjusted for {res:187} clusters in hc_id)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}e_treatq~l_z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2} .0702541{col 26}{space 2} .0263569{col 37}{space 1}    2.67{col 46}{space 3}0.008{col 54}{space 4} .0182572{col 67}{space 3}  .122251
{txt}b_treatq~l_z {c |}{col 14}{res}{space 2} .0975202{col 26}{space 2} .0201453{col 37}{space 1}    4.84{col 46}{space 3}0.000{col 54}{space 4} .0577777{col 67}{space 3} .1372628
{txt}b_trea~l_z_d {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 1}c_tfull_hc2 {c |}{col 14}{res}{space 2}-.0364872{col 26}{space 2} .0302334{col 37}{space 1}   -1.21{col 46}{space 3}0.229{col 54}{space 4}-.0961317{col 67}{space 3} .0231573
{txt}c_tfull_b_~l {c |}{col 14}{res}{space 2} .0347704{col 26}{space 2} .0357458{col 37}{space 1}    0.97{col 46}{space 3}0.332{col 54}{space 4}-.0357489{col 67}{space 3} .1052897
{txt}c_tfull_b_~s {c |}{col 14}{res}{space 2} .0245656{col 26}{space 2}  .041264{col 37}{space 1}    0.60{col 46}{space 3}0.552{col 54}{space 4}-.0568401{col 67}{space 3} .1059713
{txt}c_tfull_b_~d {c |}{col 14}{res}{space 2} .0272133{col 26}{space 2} .0158992{col 37}{space 1}    1.71{col 46}{space 3}0.089{col 54}{space 4}-.0041525{col 67}{space 3} .0585792
{txt}c_tfull_ed~r {c |}{col 14}{res}{space 2}-.0016339{col 26}{space 2} .0011181{col 37}{space 1}   -1.46{col 46}{space 3}0.146{col 54}{space 4}-.0038397{col 67}{space 3} .0005718
{txt}c_tfull_b_~x {c |}{col 14}{res}{space 2}-.0095979{col 26}{space 2} .0053077{col 37}{space 1}   -1.81{col 46}{space 3}0.072{col 54}{space 4} -.020069{col 67}{space 3} .0008732
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} .0005086{col 26}{space 2}  .020236{col 37}{space 1}    0.03{col 46}{space 3}0.980{col 54}{space 4}-.0394129{col 67}{space 3} .0404301
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull = .139{p_end}

{txt}       F(  1,   186) ={res}    6.80
{txt}{col 13}Prob > F ={res}    0.0098

{p 0 7}{space 1}{text:( 1)}{space 1} treatfull = -.139{p_end}

{txt}       F(  1,   186) ={res}   63.03
{txt}{col 13}Prob > F ={res}    0.0000
{txt}note: b_treatqual_z_d omitted because of collinearity
{res}
{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}     7,288
{txt}{col 49}F({res}   8{txt},{res}    186{txt}){col 67}= {res}      6.45
{txt}{col 49}Prob > F{col 67}= {res}    0.0000
{txt}{col 49}R-squared{col 67}= {res}    0.0978
{txt}{col 49}Adj R-squared{col 67}= {res}    0.0950
{txt}{col 49}Root MSE{col 67}= {res}    0.3521

{txt}{ralign 78:(Std. Err. adjusted for {res:187} clusters in hc_id)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}e_treatq~l_z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2} .0702541{col 26}{space 2} .0263569{col 37}{space 1}    2.67{col 46}{space 3}0.008{col 54}{space 4} .0182572{col 67}{space 3}  .122251
{txt}b_treatq~l_z {c |}{col 14}{res}{space 2} .0975202{col 26}{space 2} .0201453{col 37}{space 1}    4.84{col 46}{space 3}0.000{col 54}{space 4} .0577777{col 67}{space 3} .1372628
{txt}b_trea~l_z_d {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 1}c_tfull_hc2 {c |}{col 14}{res}{space 2}-.0364872{col 26}{space 2} .0302334{col 37}{space 1}   -1.21{col 46}{space 3}0.229{col 54}{space 4}-.0961317{col 67}{space 3} .0231573
{txt}c_tfull_b_~l {c |}{col 14}{res}{space 2} .0347704{col 26}{space 2} .0357458{col 37}{space 1}    0.97{col 46}{space 3}0.332{col 54}{space 4}-.0357489{col 67}{space 3} .1052897
{txt}c_tfull_b_~s {c |}{col 14}{res}{space 2} .0245656{col 26}{space 2}  .041264{col 37}{space 1}    0.60{col 46}{space 3}0.552{col 54}{space 4}-.0568401{col 67}{space 3} .1059713
{txt}c_tfull_b_~d {c |}{col 14}{res}{space 2} .0272133{col 26}{space 2} .0158992{col 37}{space 1}    1.71{col 46}{space 3}0.089{col 54}{space 4}-.0041525{col 67}{space 3} .0585792
{txt}c_tfull_ed~r {c |}{col 14}{res}{space 2}-.0016339{col 26}{space 2} .0011181{col 37}{space 1}   -1.46{col 46}{space 3}0.146{col 54}{space 4}-.0038397{col 67}{space 3} .0005718
{txt}c_tfull_b_~x {c |}{col 14}{res}{space 2}-.0095979{col 26}{space 2} .0053077{col 37}{space 1}   -1.81{col 46}{space 3}0.072{col 54}{space 4} -.020069{col 67}{space 3} .0008732
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} .0005086{col 26}{space 2}  .020236{col 37}{space 1}    0.03{col 46}{space 3}0.980{col 54}{space 4}-.0394129{col 67}{space 3} .0404301
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull = .14{p_end}

{txt}       F(  1,   186) ={res}    7.00
{txt}{col 13}Prob > F ={res}    0.0088

{p 0 7}{space 1}{text:( 1)}{space 1} treatfull = -.14{p_end}

{txt}       F(  1,   186) ={res}   63.64
{txt}{col 13}Prob > F ={res}    0.0000
{txt}note: b_treatqual_z_d omitted because of collinearity
{res}
{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}     7,288
{txt}{col 49}F({res}   8{txt},{res}    186{txt}){col 67}= {res}      6.45
{txt}{col 49}Prob > F{col 67}= {res}    0.0000
{txt}{col 49}R-squared{col 67}= {res}    0.0978
{txt}{col 49}Adj R-squared{col 67}= {res}    0.0950
{txt}{col 49}Root MSE{col 67}= {res}    0.3521

{txt}{ralign 78:(Std. Err. adjusted for {res:187} clusters in hc_id)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}e_treatq~l_z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2} .0702541{col 26}{space 2} .0263569{col 37}{space 1}    2.67{col 46}{space 3}0.008{col 54}{space 4} .0182572{col 67}{space 3}  .122251
{txt}b_treatq~l_z {c |}{col 14}{res}{space 2} .0975202{col 26}{space 2} .0201453{col 37}{space 1}    4.84{col 46}{space 3}0.000{col 54}{space 4} .0577777{col 67}{space 3} .1372628
{txt}b_trea~l_z_d {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 1}c_tfull_hc2 {c |}{col 14}{res}{space 2}-.0364872{col 26}{space 2} .0302334{col 37}{space 1}   -1.21{col 46}{space 3}0.229{col 54}{space 4}-.0961317{col 67}{space 3} .0231573
{txt}c_tfull_b_~l {c |}{col 14}{res}{space 2} .0347704{col 26}{space 2} .0357458{col 37}{space 1}    0.97{col 46}{space 3}0.332{col 54}{space 4}-.0357489{col 67}{space 3} .1052897
{txt}c_tfull_b_~s {c |}{col 14}{res}{space 2} .0245656{col 26}{space 2}  .041264{col 37}{space 1}    0.60{col 46}{space 3}0.552{col 54}{space 4}-.0568401{col 67}{space 3} .1059713
{txt}c_tfull_b_~d {c |}{col 14}{res}{space 2} .0272133{col 26}{space 2} .0158992{col 37}{space 1}    1.71{col 46}{space 3}0.089{col 54}{space 4}-.0041525{col 67}{space 3} .0585792
{txt}c_tfull_ed~r {c |}{col 14}{res}{space 2}-.0016339{col 26}{space 2} .0011181{col 37}{space 1}   -1.46{col 46}{space 3}0.146{col 54}{space 4}-.0038397{col 67}{space 3} .0005718
{txt}c_tfull_b_~x {c |}{col 14}{res}{space 2}-.0095979{col 26}{space 2} .0053077{col 37}{space 1}   -1.81{col 46}{space 3}0.072{col 54}{space 4} -.020069{col 67}{space 3} .0008732
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} .0005086{col 26}{space 2}  .020236{col 37}{space 1}    0.03{col 46}{space 3}0.980{col 54}{space 4}-.0394129{col 67}{space 3} .0404301
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull = .141{p_end}

{txt}       F(  1,   186) ={res}    7.20
{txt}{col 13}Prob > F ={res}    0.0079

{p 0 7}{space 1}{text:( 1)}{space 1} treatfull = -.141{p_end}

{txt}       F(  1,   186) ={res}   64.24
{txt}{col 13}Prob > F ={res}    0.0000
{txt}note: b_treatqual_z_d omitted because of collinearity
{res}
{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}     7,288
{txt}{col 49}F({res}   8{txt},{res}    186{txt}){col 67}= {res}      6.45
{txt}{col 49}Prob > F{col 67}= {res}    0.0000
{txt}{col 49}R-squared{col 67}= {res}    0.0978
{txt}{col 49}Adj R-squared{col 67}= {res}    0.0950
{txt}{col 49}Root MSE{col 67}= {res}    0.3521

{txt}{ralign 78:(Std. Err. adjusted for {res:187} clusters in hc_id)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}e_treatq~l_z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2} .0702541{col 26}{space 2} .0263569{col 37}{space 1}    2.67{col 46}{space 3}0.008{col 54}{space 4} .0182572{col 67}{space 3}  .122251
{txt}b_treatq~l_z {c |}{col 14}{res}{space 2} .0975202{col 26}{space 2} .0201453{col 37}{space 1}    4.84{col 46}{space 3}0.000{col 54}{space 4} .0577777{col 67}{space 3} .1372628
{txt}b_trea~l_z_d {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 1}c_tfull_hc2 {c |}{col 14}{res}{space 2}-.0364872{col 26}{space 2} .0302334{col 37}{space 1}   -1.21{col 46}{space 3}0.229{col 54}{space 4}-.0961317{col 67}{space 3} .0231573
{txt}c_tfull_b_~l {c |}{col 14}{res}{space 2} .0347704{col 26}{space 2} .0357458{col 37}{space 1}    0.97{col 46}{space 3}0.332{col 54}{space 4}-.0357489{col 67}{space 3} .1052897
{txt}c_tfull_b_~s {c |}{col 14}{res}{space 2} .0245656{col 26}{space 2}  .041264{col 37}{space 1}    0.60{col 46}{space 3}0.552{col 54}{space 4}-.0568401{col 67}{space 3} .1059713
{txt}c_tfull_b_~d {c |}{col 14}{res}{space 2} .0272133{col 26}{space 2} .0158992{col 37}{space 1}    1.71{col 46}{space 3}0.089{col 54}{space 4}-.0041525{col 67}{space 3} .0585792
{txt}c_tfull_ed~r {c |}{col 14}{res}{space 2}-.0016339{col 26}{space 2} .0011181{col 37}{space 1}   -1.46{col 46}{space 3}0.146{col 54}{space 4}-.0038397{col 67}{space 3} .0005718
{txt}c_tfull_b_~x {c |}{col 14}{res}{space 2}-.0095979{col 26}{space 2} .0053077{col 37}{space 1}   -1.81{col 46}{space 3}0.072{col 54}{space 4} -.020069{col 67}{space 3} .0008732
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} .0005086{col 26}{space 2}  .020236{col 37}{space 1}    0.03{col 46}{space 3}0.980{col 54}{space 4}-.0394129{col 67}{space 3} .0404301
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull = .142{p_end}

{txt}       F(  1,   186) ={res}    7.41
{txt}{col 13}Prob > F ={res}    0.0071

{p 0 7}{space 1}{text:( 1)}{space 1} treatfull = -.142{p_end}

{txt}       F(  1,   186) ={res}   64.85
{txt}{col 13}Prob > F ={res}    0.0000
{txt}note: b_treatqual_z_d omitted because of collinearity
{res}
{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}     7,288
{txt}{col 49}F({res}   8{txt},{res}    186{txt}){col 67}= {res}      6.45
{txt}{col 49}Prob > F{col 67}= {res}    0.0000
{txt}{col 49}R-squared{col 67}= {res}    0.0978
{txt}{col 49}Adj R-squared{col 67}= {res}    0.0950
{txt}{col 49}Root MSE{col 67}= {res}    0.3521

{txt}{ralign 78:(Std. Err. adjusted for {res:187} clusters in hc_id)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}e_treatq~l_z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2} .0702541{col 26}{space 2} .0263569{col 37}{space 1}    2.67{col 46}{space 3}0.008{col 54}{space 4} .0182572{col 67}{space 3}  .122251
{txt}b_treatq~l_z {c |}{col 14}{res}{space 2} .0975202{col 26}{space 2} .0201453{col 37}{space 1}    4.84{col 46}{space 3}0.000{col 54}{space 4} .0577777{col 67}{space 3} .1372628
{txt}b_trea~l_z_d {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 1}c_tfull_hc2 {c |}{col 14}{res}{space 2}-.0364872{col 26}{space 2} .0302334{col 37}{space 1}   -1.21{col 46}{space 3}0.229{col 54}{space 4}-.0961317{col 67}{space 3} .0231573
{txt}c_tfull_b_~l {c |}{col 14}{res}{space 2} .0347704{col 26}{space 2} .0357458{col 37}{space 1}    0.97{col 46}{space 3}0.332{col 54}{space 4}-.0357489{col 67}{space 3} .1052897
{txt}c_tfull_b_~s {c |}{col 14}{res}{space 2} .0245656{col 26}{space 2}  .041264{col 37}{space 1}    0.60{col 46}{space 3}0.552{col 54}{space 4}-.0568401{col 67}{space 3} .1059713
{txt}c_tfull_b_~d {c |}{col 14}{res}{space 2} .0272133{col 26}{space 2} .0158992{col 37}{space 1}    1.71{col 46}{space 3}0.089{col 54}{space 4}-.0041525{col 67}{space 3} .0585792
{txt}c_tfull_ed~r {c |}{col 14}{res}{space 2}-.0016339{col 26}{space 2} .0011181{col 37}{space 1}   -1.46{col 46}{space 3}0.146{col 54}{space 4}-.0038397{col 67}{space 3} .0005718
{txt}c_tfull_b_~x {c |}{col 14}{res}{space 2}-.0095979{col 26}{space 2} .0053077{col 37}{space 1}   -1.81{col 46}{space 3}0.072{col 54}{space 4} -.020069{col 67}{space 3} .0008732
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} .0005086{col 26}{space 2}  .020236{col 37}{space 1}    0.03{col 46}{space 3}0.980{col 54}{space 4}-.0394129{col 67}{space 3} .0404301
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull = .143{p_end}

{txt}       F(  1,   186) ={res}    7.62
{txt}{col 13}Prob > F ={res}    0.0064

{p 0 7}{space 1}{text:( 1)}{space 1} treatfull = -.143{p_end}

{txt}       F(  1,   186) ={res}   65.46
{txt}{col 13}Prob > F ={res}    0.0000
{txt}note: b_treatqual_z_d omitted because of collinearity
{res}
{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}     7,288
{txt}{col 49}F({res}   8{txt},{res}    186{txt}){col 67}= {res}      6.45
{txt}{col 49}Prob > F{col 67}= {res}    0.0000
{txt}{col 49}R-squared{col 67}= {res}    0.0978
{txt}{col 49}Adj R-squared{col 67}= {res}    0.0950
{txt}{col 49}Root MSE{col 67}= {res}    0.3521

{txt}{ralign 78:(Std. Err. adjusted for {res:187} clusters in hc_id)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}e_treatq~l_z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2} .0702541{col 26}{space 2} .0263569{col 37}{space 1}    2.67{col 46}{space 3}0.008{col 54}{space 4} .0182572{col 67}{space 3}  .122251
{txt}b_treatq~l_z {c |}{col 14}{res}{space 2} .0975202{col 26}{space 2} .0201453{col 37}{space 1}    4.84{col 46}{space 3}0.000{col 54}{space 4} .0577777{col 67}{space 3} .1372628
{txt}b_trea~l_z_d {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 1}c_tfull_hc2 {c |}{col 14}{res}{space 2}-.0364872{col 26}{space 2} .0302334{col 37}{space 1}   -1.21{col 46}{space 3}0.229{col 54}{space 4}-.0961317{col 67}{space 3} .0231573
{txt}c_tfull_b_~l {c |}{col 14}{res}{space 2} .0347704{col 26}{space 2} .0357458{col 37}{space 1}    0.97{col 46}{space 3}0.332{col 54}{space 4}-.0357489{col 67}{space 3} .1052897
{txt}c_tfull_b_~s {c |}{col 14}{res}{space 2} .0245656{col 26}{space 2}  .041264{col 37}{space 1}    0.60{col 46}{space 3}0.552{col 54}{space 4}-.0568401{col 67}{space 3} .1059713
{txt}c_tfull_b_~d {c |}{col 14}{res}{space 2} .0272133{col 26}{space 2} .0158992{col 37}{space 1}    1.71{col 46}{space 3}0.089{col 54}{space 4}-.0041525{col 67}{space 3} .0585792
{txt}c_tfull_ed~r {c |}{col 14}{res}{space 2}-.0016339{col 26}{space 2} .0011181{col 37}{space 1}   -1.46{col 46}{space 3}0.146{col 54}{space 4}-.0038397{col 67}{space 3} .0005718
{txt}c_tfull_b_~x {c |}{col 14}{res}{space 2}-.0095979{col 26}{space 2} .0053077{col 37}{space 1}   -1.81{col 46}{space 3}0.072{col 54}{space 4} -.020069{col 67}{space 3} .0008732
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} .0005086{col 26}{space 2}  .020236{col 37}{space 1}    0.03{col 46}{space 3}0.980{col 54}{space 4}-.0394129{col 67}{space 3} .0404301
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull = .144{p_end}

{txt}       F(  1,   186) ={res}    7.83
{txt}{col 13}Prob > F ={res}    0.0057

{p 0 7}{space 1}{text:( 1)}{space 1} treatfull = -.144{p_end}

{txt}       F(  1,   186) ={res}   66.08
{txt}{col 13}Prob > F ={res}    0.0000
{txt}note: b_treatqual_z_d omitted because of collinearity
{res}
{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}     7,288
{txt}{col 49}F({res}   8{txt},{res}    186{txt}){col 67}= {res}      6.45
{txt}{col 49}Prob > F{col 67}= {res}    0.0000
{txt}{col 49}R-squared{col 67}= {res}    0.0978
{txt}{col 49}Adj R-squared{col 67}= {res}    0.0950
{txt}{col 49}Root MSE{col 67}= {res}    0.3521

{txt}{ralign 78:(Std. Err. adjusted for {res:187} clusters in hc_id)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}e_treatq~l_z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2} .0702541{col 26}{space 2} .0263569{col 37}{space 1}    2.67{col 46}{space 3}0.008{col 54}{space 4} .0182572{col 67}{space 3}  .122251
{txt}b_treatq~l_z {c |}{col 14}{res}{space 2} .0975202{col 26}{space 2} .0201453{col 37}{space 1}    4.84{col 46}{space 3}0.000{col 54}{space 4} .0577777{col 67}{space 3} .1372628
{txt}b_trea~l_z_d {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 1}c_tfull_hc2 {c |}{col 14}{res}{space 2}-.0364872{col 26}{space 2} .0302334{col 37}{space 1}   -1.21{col 46}{space 3}0.229{col 54}{space 4}-.0961317{col 67}{space 3} .0231573
{txt}c_tfull_b_~l {c |}{col 14}{res}{space 2} .0347704{col 26}{space 2} .0357458{col 37}{space 1}    0.97{col 46}{space 3}0.332{col 54}{space 4}-.0357489{col 67}{space 3} .1052897
{txt}c_tfull_b_~s {c |}{col 14}{res}{space 2} .0245656{col 26}{space 2}  .041264{col 37}{space 1}    0.60{col 46}{space 3}0.552{col 54}{space 4}-.0568401{col 67}{space 3} .1059713
{txt}c_tfull_b_~d {c |}{col 14}{res}{space 2} .0272133{col 26}{space 2} .0158992{col 37}{space 1}    1.71{col 46}{space 3}0.089{col 54}{space 4}-.0041525{col 67}{space 3} .0585792
{txt}c_tfull_ed~r {c |}{col 14}{res}{space 2}-.0016339{col 26}{space 2} .0011181{col 37}{space 1}   -1.46{col 46}{space 3}0.146{col 54}{space 4}-.0038397{col 67}{space 3} .0005718
{txt}c_tfull_b_~x {c |}{col 14}{res}{space 2}-.0095979{col 26}{space 2} .0053077{col 37}{space 1}   -1.81{col 46}{space 3}0.072{col 54}{space 4} -.020069{col 67}{space 3} .0008732
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} .0005086{col 26}{space 2}  .020236{col 37}{space 1}    0.03{col 46}{space 3}0.980{col 54}{space 4}-.0394129{col 67}{space 3} .0404301
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull = .145{p_end}

{txt}       F(  1,   186) ={res}    8.04
{txt}{col 13}Prob > F ={res}    0.0051

{p 0 7}{space 1}{text:( 1)}{space 1} treatfull = -.145{p_end}

{txt}       F(  1,   186) ={res}   66.70
{txt}{col 13}Prob > F ={res}    0.0000
{txt}note: b_treatqual_z_d omitted because of collinearity
{res}
{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}     7,288
{txt}{col 49}F({res}   8{txt},{res}    186{txt}){col 67}= {res}      6.45
{txt}{col 49}Prob > F{col 67}= {res}    0.0000
{txt}{col 49}R-squared{col 67}= {res}    0.0978
{txt}{col 49}Adj R-squared{col 67}= {res}    0.0950
{txt}{col 49}Root MSE{col 67}= {res}    0.3521

{txt}{ralign 78:(Std. Err. adjusted for {res:187} clusters in hc_id)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}e_treatq~l_z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2} .0702541{col 26}{space 2} .0263569{col 37}{space 1}    2.67{col 46}{space 3}0.008{col 54}{space 4} .0182572{col 67}{space 3}  .122251
{txt}b_treatq~l_z {c |}{col 14}{res}{space 2} .0975202{col 26}{space 2} .0201453{col 37}{space 1}    4.84{col 46}{space 3}0.000{col 54}{space 4} .0577777{col 67}{space 3} .1372628
{txt}b_trea~l_z_d {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 1}c_tfull_hc2 {c |}{col 14}{res}{space 2}-.0364872{col 26}{space 2} .0302334{col 37}{space 1}   -1.21{col 46}{space 3}0.229{col 54}{space 4}-.0961317{col 67}{space 3} .0231573
{txt}c_tfull_b_~l {c |}{col 14}{res}{space 2} .0347704{col 26}{space 2} .0357458{col 37}{space 1}    0.97{col 46}{space 3}0.332{col 54}{space 4}-.0357489{col 67}{space 3} .1052897
{txt}c_tfull_b_~s {c |}{col 14}{res}{space 2} .0245656{col 26}{space 2}  .041264{col 37}{space 1}    0.60{col 46}{space 3}0.552{col 54}{space 4}-.0568401{col 67}{space 3} .1059713
{txt}c_tfull_b_~d {c |}{col 14}{res}{space 2} .0272133{col 26}{space 2} .0158992{col 37}{space 1}    1.71{col 46}{space 3}0.089{col 54}{space 4}-.0041525{col 67}{space 3} .0585792
{txt}c_tfull_ed~r {c |}{col 14}{res}{space 2}-.0016339{col 26}{space 2} .0011181{col 37}{space 1}   -1.46{col 46}{space 3}0.146{col 54}{space 4}-.0038397{col 67}{space 3} .0005718
{txt}c_tfull_b_~x {c |}{col 14}{res}{space 2}-.0095979{col 26}{space 2} .0053077{col 37}{space 1}   -1.81{col 46}{space 3}0.072{col 54}{space 4} -.020069{col 67}{space 3} .0008732
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} .0005086{col 26}{space 2}  .020236{col 37}{space 1}    0.03{col 46}{space 3}0.980{col 54}{space 4}-.0394129{col 67}{space 3} .0404301
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull = .146{p_end}

{txt}       F(  1,   186) ={res}    8.26
{txt}{col 13}Prob > F ={res}    0.0045

{p 0 7}{space 1}{text:( 1)}{space 1} treatfull = -.146{p_end}

{txt}       F(  1,   186) ={res}   67.32
{txt}{col 13}Prob > F ={res}    0.0000
{txt}note: b_treatqual_z_d omitted because of collinearity
{res}
{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}     7,288
{txt}{col 49}F({res}   8{txt},{res}    186{txt}){col 67}= {res}      6.45
{txt}{col 49}Prob > F{col 67}= {res}    0.0000
{txt}{col 49}R-squared{col 67}= {res}    0.0978
{txt}{col 49}Adj R-squared{col 67}= {res}    0.0950
{txt}{col 49}Root MSE{col 67}= {res}    0.3521

{txt}{ralign 78:(Std. Err. adjusted for {res:187} clusters in hc_id)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}e_treatq~l_z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2} .0702541{col 26}{space 2} .0263569{col 37}{space 1}    2.67{col 46}{space 3}0.008{col 54}{space 4} .0182572{col 67}{space 3}  .122251
{txt}b_treatq~l_z {c |}{col 14}{res}{space 2} .0975202{col 26}{space 2} .0201453{col 37}{space 1}    4.84{col 46}{space 3}0.000{col 54}{space 4} .0577777{col 67}{space 3} .1372628
{txt}b_trea~l_z_d {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 1}c_tfull_hc2 {c |}{col 14}{res}{space 2}-.0364872{col 26}{space 2} .0302334{col 37}{space 1}   -1.21{col 46}{space 3}0.229{col 54}{space 4}-.0961317{col 67}{space 3} .0231573
{txt}c_tfull_b_~l {c |}{col 14}{res}{space 2} .0347704{col 26}{space 2} .0357458{col 37}{space 1}    0.97{col 46}{space 3}0.332{col 54}{space 4}-.0357489{col 67}{space 3} .1052897
{txt}c_tfull_b_~s {c |}{col 14}{res}{space 2} .0245656{col 26}{space 2}  .041264{col 37}{space 1}    0.60{col 46}{space 3}0.552{col 54}{space 4}-.0568401{col 67}{space 3} .1059713
{txt}c_tfull_b_~d {c |}{col 14}{res}{space 2} .0272133{col 26}{space 2} .0158992{col 37}{space 1}    1.71{col 46}{space 3}0.089{col 54}{space 4}-.0041525{col 67}{space 3} .0585792
{txt}c_tfull_ed~r {c |}{col 14}{res}{space 2}-.0016339{col 26}{space 2} .0011181{col 37}{space 1}   -1.46{col 46}{space 3}0.146{col 54}{space 4}-.0038397{col 67}{space 3} .0005718
{txt}c_tfull_b_~x {c |}{col 14}{res}{space 2}-.0095979{col 26}{space 2} .0053077{col 37}{space 1}   -1.81{col 46}{space 3}0.072{col 54}{space 4} -.020069{col 67}{space 3} .0008732
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} .0005086{col 26}{space 2}  .020236{col 37}{space 1}    0.03{col 46}{space 3}0.980{col 54}{space 4}-.0394129{col 67}{space 3} .0404301
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull = .147{p_end}

{txt}       F(  1,   186) ={res}    8.48
{txt}{col 13}Prob > F ={res}    0.0040

{p 0 7}{space 1}{text:( 1)}{space 1} treatfull = -.147{p_end}

{txt}       F(  1,   186) ={res}   67.94
{txt}{col 13}Prob > F ={res}    0.0000
{txt}note: b_treatqual_z_d omitted because of collinearity
{res}
{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}     7,288
{txt}{col 49}F({res}   8{txt},{res}    186{txt}){col 67}= {res}      6.45
{txt}{col 49}Prob > F{col 67}= {res}    0.0000
{txt}{col 49}R-squared{col 67}= {res}    0.0978
{txt}{col 49}Adj R-squared{col 67}= {res}    0.0950
{txt}{col 49}Root MSE{col 67}= {res}    0.3521

{txt}{ralign 78:(Std. Err. adjusted for {res:187} clusters in hc_id)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}e_treatq~l_z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2} .0702541{col 26}{space 2} .0263569{col 37}{space 1}    2.67{col 46}{space 3}0.008{col 54}{space 4} .0182572{col 67}{space 3}  .122251
{txt}b_treatq~l_z {c |}{col 14}{res}{space 2} .0975202{col 26}{space 2} .0201453{col 37}{space 1}    4.84{col 46}{space 3}0.000{col 54}{space 4} .0577777{col 67}{space 3} .1372628
{txt}b_trea~l_z_d {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 1}c_tfull_hc2 {c |}{col 14}{res}{space 2}-.0364872{col 26}{space 2} .0302334{col 37}{space 1}   -1.21{col 46}{space 3}0.229{col 54}{space 4}-.0961317{col 67}{space 3} .0231573
{txt}c_tfull_b_~l {c |}{col 14}{res}{space 2} .0347704{col 26}{space 2} .0357458{col 37}{space 1}    0.97{col 46}{space 3}0.332{col 54}{space 4}-.0357489{col 67}{space 3} .1052897
{txt}c_tfull_b_~s {c |}{col 14}{res}{space 2} .0245656{col 26}{space 2}  .041264{col 37}{space 1}    0.60{col 46}{space 3}0.552{col 54}{space 4}-.0568401{col 67}{space 3} .1059713
{txt}c_tfull_b_~d {c |}{col 14}{res}{space 2} .0272133{col 26}{space 2} .0158992{col 37}{space 1}    1.71{col 46}{space 3}0.089{col 54}{space 4}-.0041525{col 67}{space 3} .0585792
{txt}c_tfull_ed~r {c |}{col 14}{res}{space 2}-.0016339{col 26}{space 2} .0011181{col 37}{space 1}   -1.46{col 46}{space 3}0.146{col 54}{space 4}-.0038397{col 67}{space 3} .0005718
{txt}c_tfull_b_~x {c |}{col 14}{res}{space 2}-.0095979{col 26}{space 2} .0053077{col 37}{space 1}   -1.81{col 46}{space 3}0.072{col 54}{space 4} -.020069{col 67}{space 3} .0008732
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} .0005086{col 26}{space 2}  .020236{col 37}{space 1}    0.03{col 46}{space 3}0.980{col 54}{space 4}-.0394129{col 67}{space 3} .0404301
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull = .148{p_end}

{txt}       F(  1,   186) ={res}    8.70
{txt}{col 13}Prob > F ={res}    0.0036

{p 0 7}{space 1}{text:( 1)}{space 1} treatfull = -.148{p_end}

{txt}       F(  1,   186) ={res}   68.57
{txt}{col 13}Prob > F ={res}    0.0000
{txt}note: b_treatqual_z_d omitted because of collinearity
{res}
{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}     7,288
{txt}{col 49}F({res}   8{txt},{res}    186{txt}){col 67}= {res}      6.45
{txt}{col 49}Prob > F{col 67}= {res}    0.0000
{txt}{col 49}R-squared{col 67}= {res}    0.0978
{txt}{col 49}Adj R-squared{col 67}= {res}    0.0950
{txt}{col 49}Root MSE{col 67}= {res}    0.3521

{txt}{ralign 78:(Std. Err. adjusted for {res:187} clusters in hc_id)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}e_treatq~l_z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2} .0702541{col 26}{space 2} .0263569{col 37}{space 1}    2.67{col 46}{space 3}0.008{col 54}{space 4} .0182572{col 67}{space 3}  .122251
{txt}b_treatq~l_z {c |}{col 14}{res}{space 2} .0975202{col 26}{space 2} .0201453{col 37}{space 1}    4.84{col 46}{space 3}0.000{col 54}{space 4} .0577777{col 67}{space 3} .1372628
{txt}b_trea~l_z_d {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 1}c_tfull_hc2 {c |}{col 14}{res}{space 2}-.0364872{col 26}{space 2} .0302334{col 37}{space 1}   -1.21{col 46}{space 3}0.229{col 54}{space 4}-.0961317{col 67}{space 3} .0231573
{txt}c_tfull_b_~l {c |}{col 14}{res}{space 2} .0347704{col 26}{space 2} .0357458{col 37}{space 1}    0.97{col 46}{space 3}0.332{col 54}{space 4}-.0357489{col 67}{space 3} .1052897
{txt}c_tfull_b_~s {c |}{col 14}{res}{space 2} .0245656{col 26}{space 2}  .041264{col 37}{space 1}    0.60{col 46}{space 3}0.552{col 54}{space 4}-.0568401{col 67}{space 3} .1059713
{txt}c_tfull_b_~d {c |}{col 14}{res}{space 2} .0272133{col 26}{space 2} .0158992{col 37}{space 1}    1.71{col 46}{space 3}0.089{col 54}{space 4}-.0041525{col 67}{space 3} .0585792
{txt}c_tfull_ed~r {c |}{col 14}{res}{space 2}-.0016339{col 26}{space 2} .0011181{col 37}{space 1}   -1.46{col 46}{space 3}0.146{col 54}{space 4}-.0038397{col 67}{space 3} .0005718
{txt}c_tfull_b_~x {c |}{col 14}{res}{space 2}-.0095979{col 26}{space 2} .0053077{col 37}{space 1}   -1.81{col 46}{space 3}0.072{col 54}{space 4} -.020069{col 67}{space 3} .0008732
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} .0005086{col 26}{space 2}  .020236{col 37}{space 1}    0.03{col 46}{space 3}0.980{col 54}{space 4}-.0394129{col 67}{space 3} .0404301
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull = .149{p_end}

{txt}       F(  1,   186) ={res}    8.93
{txt}{col 13}Prob > F ={res}    0.0032

{p 0 7}{space 1}{text:( 1)}{space 1} treatfull = -.149{p_end}

{txt}       F(  1,   186) ={res}   69.20
{txt}{col 13}Prob > F ={res}    0.0000
{txt}note: b_patsat_z_d omitted because of collinearity
{res}
{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}     7,288
{txt}{col 49}F({res}   8{txt},{res}    186{txt}){col 67}= {res}     14.25
{txt}{col 49}Prob > F{col 67}= {res}    0.0000
{txt}{col 49}R-squared{col 67}= {res}    0.0394
{txt}{col 49}Adj R-squared{col 67}= {res}    0.0363
{txt}{col 49}Root MSE{col 67}= {res}    0.5869

{txt}{ralign 78:(Std. Err. adjusted for {res:187} clusters in hc_id)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}  e_patsat_z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2} .0766279{col 26}{space 2} .0242478{col 37}{space 1}    3.16{col 46}{space 3}0.002{col 54}{space 4} .0287919{col 67}{space 3}  .124464
{txt}{space 2}b_patsat_z {c |}{col 14}{res}{space 2} .1391849{col 26}{space 2} .0151653{col 37}{space 1}    9.18{col 46}{space 3}0.000{col 54}{space 4} .1092669{col 67}{space 3}  .169103
{txt}b_patsat_z_d {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 1}c_tfull_hc2 {c |}{col 14}{res}{space 2}-.0559382{col 26}{space 2} .0292099{col 37}{space 1}   -1.92{col 46}{space 3}0.057{col 54}{space 4}-.1135635{col 67}{space 3} .0016871
{txt}c_tfull_b_~l {c |}{col 14}{res}{space 2} .0029132{col 26}{space 2}  .038816{col 37}{space 1}    0.08{col 46}{space 3}0.940{col 54}{space 4}-.0736631{col 67}{space 3} .0794894
{txt}c_tfull_b_~s {c |}{col 14}{res}{space 2}  .014223{col 26}{space 2} .0540938{col 37}{space 1}    0.26{col 46}{space 3}0.793{col 54}{space 4}-.0924932{col 67}{space 3} .1209392
{txt}c_tfull_b_~d {c |}{col 14}{res}{space 2}-.0090924{col 26}{space 2} .0266171{col 37}{space 1}   -0.34{col 46}{space 3}0.733{col 54}{space 4}-.0616027{col 67}{space 3} .0434179
{txt}c_tfull_ed~r {c |}{col 14}{res}{space 2} .0031544{col 26}{space 2} .0018384{col 37}{space 1}    1.72{col 46}{space 3}0.088{col 54}{space 4}-.0004724{col 67}{space 3} .0067812
{txt}c_tfull_b_~x {c |}{col 14}{res}{space 2} .0006674{col 26}{space 2} .0074343{col 37}{space 1}    0.09{col 46}{space 3}0.929{col 54}{space 4} -.013999{col 67}{space 3} .0153338
{txt}{space 7}_cons {c |}{col 14}{res}{space 2}-.0020586{col 26}{space 2} .0179785{col 37}{space 1}   -0.11{col 46}{space 3}0.909{col 54}{space 4}-.0375267{col 67}{space 3} .0334095
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull = .001{p_end}

{txt}       F(  1,   186) ={res}    9.73
{txt}{col 13}Prob > F ={res}    0.0021

{p 0 7}{space 1}{text:( 1)}{space 1} treatfull = -.001{p_end}

{txt}       F(  1,   186) ={res}   10.25
{txt}{col 13}Prob > F ={res}    0.0016
{txt}note: b_patsat_z_d omitted because of collinearity
{res}
{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}     7,288
{txt}{col 49}F({res}   8{txt},{res}    186{txt}){col 67}= {res}     14.25
{txt}{col 49}Prob > F{col 67}= {res}    0.0000
{txt}{col 49}R-squared{col 67}= {res}    0.0394
{txt}{col 49}Adj R-squared{col 67}= {res}    0.0363
{txt}{col 49}Root MSE{col 67}= {res}    0.5869

{txt}{ralign 78:(Std. Err. adjusted for {res:187} clusters in hc_id)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}  e_patsat_z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2} .0766279{col 26}{space 2} .0242478{col 37}{space 1}    3.16{col 46}{space 3}0.002{col 54}{space 4} .0287919{col 67}{space 3}  .124464
{txt}{space 2}b_patsat_z {c |}{col 14}{res}{space 2} .1391849{col 26}{space 2} .0151653{col 37}{space 1}    9.18{col 46}{space 3}0.000{col 54}{space 4} .1092669{col 67}{space 3}  .169103
{txt}b_patsat_z_d {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 1}c_tfull_hc2 {c |}{col 14}{res}{space 2}-.0559382{col 26}{space 2} .0292099{col 37}{space 1}   -1.92{col 46}{space 3}0.057{col 54}{space 4}-.1135635{col 67}{space 3} .0016871
{txt}c_tfull_b_~l {c |}{col 14}{res}{space 2} .0029132{col 26}{space 2}  .038816{col 37}{space 1}    0.08{col 46}{space 3}0.940{col 54}{space 4}-.0736631{col 67}{space 3} .0794894
{txt}c_tfull_b_~s {c |}{col 14}{res}{space 2}  .014223{col 26}{space 2} .0540938{col 37}{space 1}    0.26{col 46}{space 3}0.793{col 54}{space 4}-.0924932{col 67}{space 3} .1209392
{txt}c_tfull_b_~d {c |}{col 14}{res}{space 2}-.0090924{col 26}{space 2} .0266171{col 37}{space 1}   -0.34{col 46}{space 3}0.733{col 54}{space 4}-.0616027{col 67}{space 3} .0434179
{txt}c_tfull_ed~r {c |}{col 14}{res}{space 2} .0031544{col 26}{space 2} .0018384{col 37}{space 1}    1.72{col 46}{space 3}0.088{col 54}{space 4}-.0004724{col 67}{space 3} .0067812
{txt}c_tfull_b_~x {c |}{col 14}{res}{space 2} .0006674{col 26}{space 2} .0074343{col 37}{space 1}    0.09{col 46}{space 3}0.929{col 54}{space 4} -.013999{col 67}{space 3} .0153338
{txt}{space 7}_cons {c |}{col 14}{res}{space 2}-.0020586{col 26}{space 2} .0179785{col 37}{space 1}   -0.11{col 46}{space 3}0.909{col 54}{space 4}-.0375267{col 67}{space 3} .0334095
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull = .002{p_end}

{txt}       F(  1,   186) ={res}    9.47
{txt}{col 13}Prob > F ={res}    0.0024

{p 0 7}{space 1}{text:( 1)}{space 1} treatfull = -.002{p_end}

{txt}       F(  1,   186) ={res}   10.52
{txt}{col 13}Prob > F ={res}    0.0014
{txt}note: b_patsat_z_d omitted because of collinearity
{res}
{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}     7,288
{txt}{col 49}F({res}   8{txt},{res}    186{txt}){col 67}= {res}     14.25
{txt}{col 49}Prob > F{col 67}= {res}    0.0000
{txt}{col 49}R-squared{col 67}= {res}    0.0394
{txt}{col 49}Adj R-squared{col 67}= {res}    0.0363
{txt}{col 49}Root MSE{col 67}= {res}    0.5869

{txt}{ralign 78:(Std. Err. adjusted for {res:187} clusters in hc_id)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}  e_patsat_z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2} .0766279{col 26}{space 2} .0242478{col 37}{space 1}    3.16{col 46}{space 3}0.002{col 54}{space 4} .0287919{col 67}{space 3}  .124464
{txt}{space 2}b_patsat_z {c |}{col 14}{res}{space 2} .1391849{col 26}{space 2} .0151653{col 37}{space 1}    9.18{col 46}{space 3}0.000{col 54}{space 4} .1092669{col 67}{space 3}  .169103
{txt}b_patsat_z_d {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 1}c_tfull_hc2 {c |}{col 14}{res}{space 2}-.0559382{col 26}{space 2} .0292099{col 37}{space 1}   -1.92{col 46}{space 3}0.057{col 54}{space 4}-.1135635{col 67}{space 3} .0016871
{txt}c_tfull_b_~l {c |}{col 14}{res}{space 2} .0029132{col 26}{space 2}  .038816{col 37}{space 1}    0.08{col 46}{space 3}0.940{col 54}{space 4}-.0736631{col 67}{space 3} .0794894
{txt}c_tfull_b_~s {c |}{col 14}{res}{space 2}  .014223{col 26}{space 2} .0540938{col 37}{space 1}    0.26{col 46}{space 3}0.793{col 54}{space 4}-.0924932{col 67}{space 3} .1209392
{txt}c_tfull_b_~d {c |}{col 14}{res}{space 2}-.0090924{col 26}{space 2} .0266171{col 37}{space 1}   -0.34{col 46}{space 3}0.733{col 54}{space 4}-.0616027{col 67}{space 3} .0434179
{txt}c_tfull_ed~r {c |}{col 14}{res}{space 2} .0031544{col 26}{space 2} .0018384{col 37}{space 1}    1.72{col 46}{space 3}0.088{col 54}{space 4}-.0004724{col 67}{space 3} .0067812
{txt}c_tfull_b_~x {c |}{col 14}{res}{space 2} .0006674{col 26}{space 2} .0074343{col 37}{space 1}    0.09{col 46}{space 3}0.929{col 54}{space 4} -.013999{col 67}{space 3} .0153338
{txt}{space 7}_cons {c |}{col 14}{res}{space 2}-.0020586{col 26}{space 2} .0179785{col 37}{space 1}   -0.11{col 46}{space 3}0.909{col 54}{space 4}-.0375267{col 67}{space 3} .0334095
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull = .003{p_end}

{txt}       F(  1,   186) ={res}    9.22
{txt}{col 13}Prob > F ={res}    0.0027

{p 0 7}{space 1}{text:( 1)}{space 1} treatfull = -.003{p_end}

{txt}       F(  1,   186) ={res}   10.78
{txt}{col 13}Prob > F ={res}    0.0012
{txt}note: b_patsat_z_d omitted because of collinearity
{res}
{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}     7,288
{txt}{col 49}F({res}   8{txt},{res}    186{txt}){col 67}= {res}     14.25
{txt}{col 49}Prob > F{col 67}= {res}    0.0000
{txt}{col 49}R-squared{col 67}= {res}    0.0394
{txt}{col 49}Adj R-squared{col 67}= {res}    0.0363
{txt}{col 49}Root MSE{col 67}= {res}    0.5869

{txt}{ralign 78:(Std. Err. adjusted for {res:187} clusters in hc_id)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}  e_patsat_z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2} .0766279{col 26}{space 2} .0242478{col 37}{space 1}    3.16{col 46}{space 3}0.002{col 54}{space 4} .0287919{col 67}{space 3}  .124464
{txt}{space 2}b_patsat_z {c |}{col 14}{res}{space 2} .1391849{col 26}{space 2} .0151653{col 37}{space 1}    9.18{col 46}{space 3}0.000{col 54}{space 4} .1092669{col 67}{space 3}  .169103
{txt}b_patsat_z_d {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 1}c_tfull_hc2 {c |}{col 14}{res}{space 2}-.0559382{col 26}{space 2} .0292099{col 37}{space 1}   -1.92{col 46}{space 3}0.057{col 54}{space 4}-.1135635{col 67}{space 3} .0016871
{txt}c_tfull_b_~l {c |}{col 14}{res}{space 2} .0029132{col 26}{space 2}  .038816{col 37}{space 1}    0.08{col 46}{space 3}0.940{col 54}{space 4}-.0736631{col 67}{space 3} .0794894
{txt}c_tfull_b_~s {c |}{col 14}{res}{space 2}  .014223{col 26}{space 2} .0540938{col 37}{space 1}    0.26{col 46}{space 3}0.793{col 54}{space 4}-.0924932{col 67}{space 3} .1209392
{txt}c_tfull_b_~d {c |}{col 14}{res}{space 2}-.0090924{col 26}{space 2} .0266171{col 37}{space 1}   -0.34{col 46}{space 3}0.733{col 54}{space 4}-.0616027{col 67}{space 3} .0434179
{txt}c_tfull_ed~r {c |}{col 14}{res}{space 2} .0031544{col 26}{space 2} .0018384{col 37}{space 1}    1.72{col 46}{space 3}0.088{col 54}{space 4}-.0004724{col 67}{space 3} .0067812
{txt}c_tfull_b_~x {c |}{col 14}{res}{space 2} .0006674{col 26}{space 2} .0074343{col 37}{space 1}    0.09{col 46}{space 3}0.929{col 54}{space 4} -.013999{col 67}{space 3} .0153338
{txt}{space 7}_cons {c |}{col 14}{res}{space 2}-.0020586{col 26}{space 2} .0179785{col 37}{space 1}   -0.11{col 46}{space 3}0.909{col 54}{space 4}-.0375267{col 67}{space 3} .0334095
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull = .004{p_end}

{txt}       F(  1,   186) ={res}    8.97
{txt}{col 13}Prob > F ={res}    0.0031

{p 0 7}{space 1}{text:( 1)}{space 1} treatfull = -.004{p_end}

{txt}       F(  1,   186) ={res}   11.06
{txt}{col 13}Prob > F ={res}    0.0011
{txt}note: b_patsat_z_d omitted because of collinearity
{res}
{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}     7,288
{txt}{col 49}F({res}   8{txt},{res}    186{txt}){col 67}= {res}     14.25
{txt}{col 49}Prob > F{col 67}= {res}    0.0000
{txt}{col 49}R-squared{col 67}= {res}    0.0394
{txt}{col 49}Adj R-squared{col 67}= {res}    0.0363
{txt}{col 49}Root MSE{col 67}= {res}    0.5869

{txt}{ralign 78:(Std. Err. adjusted for {res:187} clusters in hc_id)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}  e_patsat_z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2} .0766279{col 26}{space 2} .0242478{col 37}{space 1}    3.16{col 46}{space 3}0.002{col 54}{space 4} .0287919{col 67}{space 3}  .124464
{txt}{space 2}b_patsat_z {c |}{col 14}{res}{space 2} .1391849{col 26}{space 2} .0151653{col 37}{space 1}    9.18{col 46}{space 3}0.000{col 54}{space 4} .1092669{col 67}{space 3}  .169103
{txt}b_patsat_z_d {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 1}c_tfull_hc2 {c |}{col 14}{res}{space 2}-.0559382{col 26}{space 2} .0292099{col 37}{space 1}   -1.92{col 46}{space 3}0.057{col 54}{space 4}-.1135635{col 67}{space 3} .0016871
{txt}c_tfull_b_~l {c |}{col 14}{res}{space 2} .0029132{col 26}{space 2}  .038816{col 37}{space 1}    0.08{col 46}{space 3}0.940{col 54}{space 4}-.0736631{col 67}{space 3} .0794894
{txt}c_tfull_b_~s {c |}{col 14}{res}{space 2}  .014223{col 26}{space 2} .0540938{col 37}{space 1}    0.26{col 46}{space 3}0.793{col 54}{space 4}-.0924932{col 67}{space 3} .1209392
{txt}c_tfull_b_~d {c |}{col 14}{res}{space 2}-.0090924{col 26}{space 2} .0266171{col 37}{space 1}   -0.34{col 46}{space 3}0.733{col 54}{space 4}-.0616027{col 67}{space 3} .0434179
{txt}c_tfull_ed~r {c |}{col 14}{res}{space 2} .0031544{col 26}{space 2} .0018384{col 37}{space 1}    1.72{col 46}{space 3}0.088{col 54}{space 4}-.0004724{col 67}{space 3} .0067812
{txt}c_tfull_b_~x {c |}{col 14}{res}{space 2} .0006674{col 26}{space 2} .0074343{col 37}{space 1}    0.09{col 46}{space 3}0.929{col 54}{space 4} -.013999{col 67}{space 3} .0153338
{txt}{space 7}_cons {c |}{col 14}{res}{space 2}-.0020586{col 26}{space 2} .0179785{col 37}{space 1}   -0.11{col 46}{space 3}0.909{col 54}{space 4}-.0375267{col 67}{space 3} .0334095
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull = .005{p_end}

{txt}       F(  1,   186) ={res}    8.73
{txt}{col 13}Prob > F ={res}    0.0035

{p 0 7}{space 1}{text:( 1)}{space 1} treatfull = -.005{p_end}

{txt}       F(  1,   186) ={res}   11.33
{txt}{col 13}Prob > F ={res}    0.0009
{txt}note: b_patsat_z_d omitted because of collinearity
{res}
{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}     7,288
{txt}{col 49}F({res}   8{txt},{res}    186{txt}){col 67}= {res}     14.25
{txt}{col 49}Prob > F{col 67}= {res}    0.0000
{txt}{col 49}R-squared{col 67}= {res}    0.0394
{txt}{col 49}Adj R-squared{col 67}= {res}    0.0363
{txt}{col 49}Root MSE{col 67}= {res}    0.5869

{txt}{ralign 78:(Std. Err. adjusted for {res:187} clusters in hc_id)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}  e_patsat_z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2} .0766279{col 26}{space 2} .0242478{col 37}{space 1}    3.16{col 46}{space 3}0.002{col 54}{space 4} .0287919{col 67}{space 3}  .124464
{txt}{space 2}b_patsat_z {c |}{col 14}{res}{space 2} .1391849{col 26}{space 2} .0151653{col 37}{space 1}    9.18{col 46}{space 3}0.000{col 54}{space 4} .1092669{col 67}{space 3}  .169103
{txt}b_patsat_z_d {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 1}c_tfull_hc2 {c |}{col 14}{res}{space 2}-.0559382{col 26}{space 2} .0292099{col 37}{space 1}   -1.92{col 46}{space 3}0.057{col 54}{space 4}-.1135635{col 67}{space 3} .0016871
{txt}c_tfull_b_~l {c |}{col 14}{res}{space 2} .0029132{col 26}{space 2}  .038816{col 37}{space 1}    0.08{col 46}{space 3}0.940{col 54}{space 4}-.0736631{col 67}{space 3} .0794894
{txt}c_tfull_b_~s {c |}{col 14}{res}{space 2}  .014223{col 26}{space 2} .0540938{col 37}{space 1}    0.26{col 46}{space 3}0.793{col 54}{space 4}-.0924932{col 67}{space 3} .1209392
{txt}c_tfull_b_~d {c |}{col 14}{res}{space 2}-.0090924{col 26}{space 2} .0266171{col 37}{space 1}   -0.34{col 46}{space 3}0.733{col 54}{space 4}-.0616027{col 67}{space 3} .0434179
{txt}c_tfull_ed~r {c |}{col 14}{res}{space 2} .0031544{col 26}{space 2} .0018384{col 37}{space 1}    1.72{col 46}{space 3}0.088{col 54}{space 4}-.0004724{col 67}{space 3} .0067812
{txt}c_tfull_b_~x {c |}{col 14}{res}{space 2} .0006674{col 26}{space 2} .0074343{col 37}{space 1}    0.09{col 46}{space 3}0.929{col 54}{space 4} -.013999{col 67}{space 3} .0153338
{txt}{space 7}_cons {c |}{col 14}{res}{space 2}-.0020586{col 26}{space 2} .0179785{col 37}{space 1}   -0.11{col 46}{space 3}0.909{col 54}{space 4}-.0375267{col 67}{space 3} .0334095
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull = .006{p_end}

{txt}       F(  1,   186) ={res}    8.48
{txt}{col 13}Prob > F ={res}    0.0040

{p 0 7}{space 1}{text:( 1)}{space 1} treatfull = -.006{p_end}

{txt}       F(  1,   186) ={res}   11.61
{txt}{col 13}Prob > F ={res}    0.0008
{txt}note: b_patsat_z_d omitted because of collinearity
{res}
{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}     7,288
{txt}{col 49}F({res}   8{txt},{res}    186{txt}){col 67}= {res}     14.25
{txt}{col 49}Prob > F{col 67}= {res}    0.0000
{txt}{col 49}R-squared{col 67}= {res}    0.0394
{txt}{col 49}Adj R-squared{col 67}= {res}    0.0363
{txt}{col 49}Root MSE{col 67}= {res}    0.5869

{txt}{ralign 78:(Std. Err. adjusted for {res:187} clusters in hc_id)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}  e_patsat_z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2} .0766279{col 26}{space 2} .0242478{col 37}{space 1}    3.16{col 46}{space 3}0.002{col 54}{space 4} .0287919{col 67}{space 3}  .124464
{txt}{space 2}b_patsat_z {c |}{col 14}{res}{space 2} .1391849{col 26}{space 2} .0151653{col 37}{space 1}    9.18{col 46}{space 3}0.000{col 54}{space 4} .1092669{col 67}{space 3}  .169103
{txt}b_patsat_z_d {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 1}c_tfull_hc2 {c |}{col 14}{res}{space 2}-.0559382{col 26}{space 2} .0292099{col 37}{space 1}   -1.92{col 46}{space 3}0.057{col 54}{space 4}-.1135635{col 67}{space 3} .0016871
{txt}c_tfull_b_~l {c |}{col 14}{res}{space 2} .0029132{col 26}{space 2}  .038816{col 37}{space 1}    0.08{col 46}{space 3}0.940{col 54}{space 4}-.0736631{col 67}{space 3} .0794894
{txt}c_tfull_b_~s {c |}{col 14}{res}{space 2}  .014223{col 26}{space 2} .0540938{col 37}{space 1}    0.26{col 46}{space 3}0.793{col 54}{space 4}-.0924932{col 67}{space 3} .1209392
{txt}c_tfull_b_~d {c |}{col 14}{res}{space 2}-.0090924{col 26}{space 2} .0266171{col 37}{space 1}   -0.34{col 46}{space 3}0.733{col 54}{space 4}-.0616027{col 67}{space 3} .0434179
{txt}c_tfull_ed~r {c |}{col 14}{res}{space 2} .0031544{col 26}{space 2} .0018384{col 37}{space 1}    1.72{col 46}{space 3}0.088{col 54}{space 4}-.0004724{col 67}{space 3} .0067812
{txt}c_tfull_b_~x {c |}{col 14}{res}{space 2} .0006674{col 26}{space 2} .0074343{col 37}{space 1}    0.09{col 46}{space 3}0.929{col 54}{space 4} -.013999{col 67}{space 3} .0153338
{txt}{space 7}_cons {c |}{col 14}{res}{space 2}-.0020586{col 26}{space 2} .0179785{col 37}{space 1}   -0.11{col 46}{space 3}0.909{col 54}{space 4}-.0375267{col 67}{space 3} .0334095
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull = .007{p_end}

{txt}       F(  1,   186) ={res}    8.25
{txt}{col 13}Prob > F ={res}    0.0046

{p 0 7}{space 1}{text:( 1)}{space 1} treatfull = -.007{p_end}

{txt}       F(  1,   186) ={res}   11.89
{txt}{col 13}Prob > F ={res}    0.0007
{txt}note: b_patsat_z_d omitted because of collinearity
{res}
{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}     7,288
{txt}{col 49}F({res}   8{txt},{res}    186{txt}){col 67}= {res}     14.25
{txt}{col 49}Prob > F{col 67}= {res}    0.0000
{txt}{col 49}R-squared{col 67}= {res}    0.0394
{txt}{col 49}Adj R-squared{col 67}= {res}    0.0363
{txt}{col 49}Root MSE{col 67}= {res}    0.5869

{txt}{ralign 78:(Std. Err. adjusted for {res:187} clusters in hc_id)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}  e_patsat_z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2} .0766279{col 26}{space 2} .0242478{col 37}{space 1}    3.16{col 46}{space 3}0.002{col 54}{space 4} .0287919{col 67}{space 3}  .124464
{txt}{space 2}b_patsat_z {c |}{col 14}{res}{space 2} .1391849{col 26}{space 2} .0151653{col 37}{space 1}    9.18{col 46}{space 3}0.000{col 54}{space 4} .1092669{col 67}{space 3}  .169103
{txt}b_patsat_z_d {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 1}c_tfull_hc2 {c |}{col 14}{res}{space 2}-.0559382{col 26}{space 2} .0292099{col 37}{space 1}   -1.92{col 46}{space 3}0.057{col 54}{space 4}-.1135635{col 67}{space 3} .0016871
{txt}c_tfull_b_~l {c |}{col 14}{res}{space 2} .0029132{col 26}{space 2}  .038816{col 37}{space 1}    0.08{col 46}{space 3}0.940{col 54}{space 4}-.0736631{col 67}{space 3} .0794894
{txt}c_tfull_b_~s {c |}{col 14}{res}{space 2}  .014223{col 26}{space 2} .0540938{col 37}{space 1}    0.26{col 46}{space 3}0.793{col 54}{space 4}-.0924932{col 67}{space 3} .1209392
{txt}c_tfull_b_~d {c |}{col 14}{res}{space 2}-.0090924{col 26}{space 2} .0266171{col 37}{space 1}   -0.34{col 46}{space 3}0.733{col 54}{space 4}-.0616027{col 67}{space 3} .0434179
{txt}c_tfull_ed~r {c |}{col 14}{res}{space 2} .0031544{col 26}{space 2} .0018384{col 37}{space 1}    1.72{col 46}{space 3}0.088{col 54}{space 4}-.0004724{col 67}{space 3} .0067812
{txt}c_tfull_b_~x {c |}{col 14}{res}{space 2} .0006674{col 26}{space 2} .0074343{col 37}{space 1}    0.09{col 46}{space 3}0.929{col 54}{space 4} -.013999{col 67}{space 3} .0153338
{txt}{space 7}_cons {c |}{col 14}{res}{space 2}-.0020586{col 26}{space 2} .0179785{col 37}{space 1}   -0.11{col 46}{space 3}0.909{col 54}{space 4}-.0375267{col 67}{space 3} .0334095
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull = .008{p_end}

{txt}       F(  1,   186) ={res}    8.01
{txt}{col 13}Prob > F ={res}    0.0052

{p 0 7}{space 1}{text:( 1)}{space 1} treatfull = -.008{p_end}

{txt}       F(  1,   186) ={res}   12.18
{txt}{col 13}Prob > F ={res}    0.0006
{txt}note: b_patsat_z_d omitted because of collinearity
{res}
{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}     7,288
{txt}{col 49}F({res}   8{txt},{res}    186{txt}){col 67}= {res}     14.25
{txt}{col 49}Prob > F{col 67}= {res}    0.0000
{txt}{col 49}R-squared{col 67}= {res}    0.0394
{txt}{col 49}Adj R-squared{col 67}= {res}    0.0363
{txt}{col 49}Root MSE{col 67}= {res}    0.5869

{txt}{ralign 78:(Std. Err. adjusted for {res:187} clusters in hc_id)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}  e_patsat_z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2} .0766279{col 26}{space 2} .0242478{col 37}{space 1}    3.16{col 46}{space 3}0.002{col 54}{space 4} .0287919{col 67}{space 3}  .124464
{txt}{space 2}b_patsat_z {c |}{col 14}{res}{space 2} .1391849{col 26}{space 2} .0151653{col 37}{space 1}    9.18{col 46}{space 3}0.000{col 54}{space 4} .1092669{col 67}{space 3}  .169103
{txt}b_patsat_z_d {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 1}c_tfull_hc2 {c |}{col 14}{res}{space 2}-.0559382{col 26}{space 2} .0292099{col 37}{space 1}   -1.92{col 46}{space 3}0.057{col 54}{space 4}-.1135635{col 67}{space 3} .0016871
{txt}c_tfull_b_~l {c |}{col 14}{res}{space 2} .0029132{col 26}{space 2}  .038816{col 37}{space 1}    0.08{col 46}{space 3}0.940{col 54}{space 4}-.0736631{col 67}{space 3} .0794894
{txt}c_tfull_b_~s {c |}{col 14}{res}{space 2}  .014223{col 26}{space 2} .0540938{col 37}{space 1}    0.26{col 46}{space 3}0.793{col 54}{space 4}-.0924932{col 67}{space 3} .1209392
{txt}c_tfull_b_~d {c |}{col 14}{res}{space 2}-.0090924{col 26}{space 2} .0266171{col 37}{space 1}   -0.34{col 46}{space 3}0.733{col 54}{space 4}-.0616027{col 67}{space 3} .0434179
{txt}c_tfull_ed~r {c |}{col 14}{res}{space 2} .0031544{col 26}{space 2} .0018384{col 37}{space 1}    1.72{col 46}{space 3}0.088{col 54}{space 4}-.0004724{col 67}{space 3} .0067812
{txt}c_tfull_b_~x {c |}{col 14}{res}{space 2} .0006674{col 26}{space 2} .0074343{col 37}{space 1}    0.09{col 46}{space 3}0.929{col 54}{space 4} -.013999{col 67}{space 3} .0153338
{txt}{space 7}_cons {c |}{col 14}{res}{space 2}-.0020586{col 26}{space 2} .0179785{col 37}{space 1}   -0.11{col 46}{space 3}0.909{col 54}{space 4}-.0375267{col 67}{space 3} .0334095
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull = .009{p_end}

{txt}       F(  1,   186) ={res}    7.78
{txt}{col 13}Prob > F ={res}    0.0058

{p 0 7}{space 1}{text:( 1)}{space 1} treatfull = -.009{p_end}

{txt}       F(  1,   186) ={res}   12.47
{txt}{col 13}Prob > F ={res}    0.0005
{txt}note: b_patsat_z_d omitted because of collinearity
{res}
{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}     7,288
{txt}{col 49}F({res}   8{txt},{res}    186{txt}){col 67}= {res}     14.25
{txt}{col 49}Prob > F{col 67}= {res}    0.0000
{txt}{col 49}R-squared{col 67}= {res}    0.0394
{txt}{col 49}Adj R-squared{col 67}= {res}    0.0363
{txt}{col 49}Root MSE{col 67}= {res}    0.5869

{txt}{ralign 78:(Std. Err. adjusted for {res:187} clusters in hc_id)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}  e_patsat_z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2} .0766279{col 26}{space 2} .0242478{col 37}{space 1}    3.16{col 46}{space 3}0.002{col 54}{space 4} .0287919{col 67}{space 3}  .124464
{txt}{space 2}b_patsat_z {c |}{col 14}{res}{space 2} .1391849{col 26}{space 2} .0151653{col 37}{space 1}    9.18{col 46}{space 3}0.000{col 54}{space 4} .1092669{col 67}{space 3}  .169103
{txt}b_patsat_z_d {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 1}c_tfull_hc2 {c |}{col 14}{res}{space 2}-.0559382{col 26}{space 2} .0292099{col 37}{space 1}   -1.92{col 46}{space 3}0.057{col 54}{space 4}-.1135635{col 67}{space 3} .0016871
{txt}c_tfull_b_~l {c |}{col 14}{res}{space 2} .0029132{col 26}{space 2}  .038816{col 37}{space 1}    0.08{col 46}{space 3}0.940{col 54}{space 4}-.0736631{col 67}{space 3} .0794894
{txt}c_tfull_b_~s {c |}{col 14}{res}{space 2}  .014223{col 26}{space 2} .0540938{col 37}{space 1}    0.26{col 46}{space 3}0.793{col 54}{space 4}-.0924932{col 67}{space 3} .1209392
{txt}c_tfull_b_~d {c |}{col 14}{res}{space 2}-.0090924{col 26}{space 2} .0266171{col 37}{space 1}   -0.34{col 46}{space 3}0.733{col 54}{space 4}-.0616027{col 67}{space 3} .0434179
{txt}c_tfull_ed~r {c |}{col 14}{res}{space 2} .0031544{col 26}{space 2} .0018384{col 37}{space 1}    1.72{col 46}{space 3}0.088{col 54}{space 4}-.0004724{col 67}{space 3} .0067812
{txt}c_tfull_b_~x {c |}{col 14}{res}{space 2} .0006674{col 26}{space 2} .0074343{col 37}{space 1}    0.09{col 46}{space 3}0.929{col 54}{space 4} -.013999{col 67}{space 3} .0153338
{txt}{space 7}_cons {c |}{col 14}{res}{space 2}-.0020586{col 26}{space 2} .0179785{col 37}{space 1}   -0.11{col 46}{space 3}0.909{col 54}{space 4}-.0375267{col 67}{space 3} .0334095
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull = .01{p_end}

{txt}       F(  1,   186) ={res}    7.55
{txt}{col 13}Prob > F ={res}    0.0066

{p 0 7}{space 1}{text:( 1)}{space 1} treatfull = -.01{p_end}

{txt}       F(  1,   186) ={res}   12.76
{txt}{col 13}Prob > F ={res}    0.0005
{txt}note: b_patsat_z_d omitted because of collinearity
{res}
{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}     7,288
{txt}{col 49}F({res}   8{txt},{res}    186{txt}){col 67}= {res}     14.25
{txt}{col 49}Prob > F{col 67}= {res}    0.0000
{txt}{col 49}R-squared{col 67}= {res}    0.0394
{txt}{col 49}Adj R-squared{col 67}= {res}    0.0363
{txt}{col 49}Root MSE{col 67}= {res}    0.5869

{txt}{ralign 78:(Std. Err. adjusted for {res:187} clusters in hc_id)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}  e_patsat_z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2} .0766279{col 26}{space 2} .0242478{col 37}{space 1}    3.16{col 46}{space 3}0.002{col 54}{space 4} .0287919{col 67}{space 3}  .124464
{txt}{space 2}b_patsat_z {c |}{col 14}{res}{space 2} .1391849{col 26}{space 2} .0151653{col 37}{space 1}    9.18{col 46}{space 3}0.000{col 54}{space 4} .1092669{col 67}{space 3}  .169103
{txt}b_patsat_z_d {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 1}c_tfull_hc2 {c |}{col 14}{res}{space 2}-.0559382{col 26}{space 2} .0292099{col 37}{space 1}   -1.92{col 46}{space 3}0.057{col 54}{space 4}-.1135635{col 67}{space 3} .0016871
{txt}c_tfull_b_~l {c |}{col 14}{res}{space 2} .0029132{col 26}{space 2}  .038816{col 37}{space 1}    0.08{col 46}{space 3}0.940{col 54}{space 4}-.0736631{col 67}{space 3} .0794894
{txt}c_tfull_b_~s {c |}{col 14}{res}{space 2}  .014223{col 26}{space 2} .0540938{col 37}{space 1}    0.26{col 46}{space 3}0.793{col 54}{space 4}-.0924932{col 67}{space 3} .1209392
{txt}c_tfull_b_~d {c |}{col 14}{res}{space 2}-.0090924{col 26}{space 2} .0266171{col 37}{space 1}   -0.34{col 46}{space 3}0.733{col 54}{space 4}-.0616027{col 67}{space 3} .0434179
{txt}c_tfull_ed~r {c |}{col 14}{res}{space 2} .0031544{col 26}{space 2} .0018384{col 37}{space 1}    1.72{col 46}{space 3}0.088{col 54}{space 4}-.0004724{col 67}{space 3} .0067812
{txt}c_tfull_b_~x {c |}{col 14}{res}{space 2} .0006674{col 26}{space 2} .0074343{col 37}{space 1}    0.09{col 46}{space 3}0.929{col 54}{space 4} -.013999{col 67}{space 3} .0153338
{txt}{space 7}_cons {c |}{col 14}{res}{space 2}-.0020586{col 26}{space 2} .0179785{col 37}{space 1}   -0.11{col 46}{space 3}0.909{col 54}{space 4}-.0375267{col 67}{space 3} .0334095
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull = .011{p_end}

{txt}       F(  1,   186) ={res}    7.33
{txt}{col 13}Prob > F ={res}    0.0074

{p 0 7}{space 1}{text:( 1)}{space 1} treatfull = -.011{p_end}

{txt}       F(  1,   186) ={res}   13.06
{txt}{col 13}Prob > F ={res}    0.0004
{txt}note: b_patsat_z_d omitted because of collinearity
{res}
{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}     7,288
{txt}{col 49}F({res}   8{txt},{res}    186{txt}){col 67}= {res}     14.25
{txt}{col 49}Prob > F{col 67}= {res}    0.0000
{txt}{col 49}R-squared{col 67}= {res}    0.0394
{txt}{col 49}Adj R-squared{col 67}= {res}    0.0363
{txt}{col 49}Root MSE{col 67}= {res}    0.5869

{txt}{ralign 78:(Std. Err. adjusted for {res:187} clusters in hc_id)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}  e_patsat_z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2} .0766279{col 26}{space 2} .0242478{col 37}{space 1}    3.16{col 46}{space 3}0.002{col 54}{space 4} .0287919{col 67}{space 3}  .124464
{txt}{space 2}b_patsat_z {c |}{col 14}{res}{space 2} .1391849{col 26}{space 2} .0151653{col 37}{space 1}    9.18{col 46}{space 3}0.000{col 54}{space 4} .1092669{col 67}{space 3}  .169103
{txt}b_patsat_z_d {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 1}c_tfull_hc2 {c |}{col 14}{res}{space 2}-.0559382{col 26}{space 2} .0292099{col 37}{space 1}   -1.92{col 46}{space 3}0.057{col 54}{space 4}-.1135635{col 67}{space 3} .0016871
{txt}c_tfull_b_~l {c |}{col 14}{res}{space 2} .0029132{col 26}{space 2}  .038816{col 37}{space 1}    0.08{col 46}{space 3}0.940{col 54}{space 4}-.0736631{col 67}{space 3} .0794894
{txt}c_tfull_b_~s {c |}{col 14}{res}{space 2}  .014223{col 26}{space 2} .0540938{col 37}{space 1}    0.26{col 46}{space 3}0.793{col 54}{space 4}-.0924932{col 67}{space 3} .1209392
{txt}c_tfull_b_~d {c |}{col 14}{res}{space 2}-.0090924{col 26}{space 2} .0266171{col 37}{space 1}   -0.34{col 46}{space 3}0.733{col 54}{space 4}-.0616027{col 67}{space 3} .0434179
{txt}c_tfull_ed~r {c |}{col 14}{res}{space 2} .0031544{col 26}{space 2} .0018384{col 37}{space 1}    1.72{col 46}{space 3}0.088{col 54}{space 4}-.0004724{col 67}{space 3} .0067812
{txt}c_tfull_b_~x {c |}{col 14}{res}{space 2} .0006674{col 26}{space 2} .0074343{col 37}{space 1}    0.09{col 46}{space 3}0.929{col 54}{space 4} -.013999{col 67}{space 3} .0153338
{txt}{space 7}_cons {c |}{col 14}{res}{space 2}-.0020586{col 26}{space 2} .0179785{col 37}{space 1}   -0.11{col 46}{space 3}0.909{col 54}{space 4}-.0375267{col 67}{space 3} .0334095
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull = .012{p_end}

{txt}       F(  1,   186) ={res}    7.10
{txt}{col 13}Prob > F ={res}    0.0084

{p 0 7}{space 1}{text:( 1)}{space 1} treatfull = -.012{p_end}

{txt}       F(  1,   186) ={res}   13.36
{txt}{col 13}Prob > F ={res}    0.0003
{txt}note: b_patsat_z_d omitted because of collinearity
{res}
{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}     7,288
{txt}{col 49}F({res}   8{txt},{res}    186{txt}){col 67}= {res}     14.25
{txt}{col 49}Prob > F{col 67}= {res}    0.0000
{txt}{col 49}R-squared{col 67}= {res}    0.0394
{txt}{col 49}Adj R-squared{col 67}= {res}    0.0363
{txt}{col 49}Root MSE{col 67}= {res}    0.5869

{txt}{ralign 78:(Std. Err. adjusted for {res:187} clusters in hc_id)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}  e_patsat_z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2} .0766279{col 26}{space 2} .0242478{col 37}{space 1}    3.16{col 46}{space 3}0.002{col 54}{space 4} .0287919{col 67}{space 3}  .124464
{txt}{space 2}b_patsat_z {c |}{col 14}{res}{space 2} .1391849{col 26}{space 2} .0151653{col 37}{space 1}    9.18{col 46}{space 3}0.000{col 54}{space 4} .1092669{col 67}{space 3}  .169103
{txt}b_patsat_z_d {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 1}c_tfull_hc2 {c |}{col 14}{res}{space 2}-.0559382{col 26}{space 2} .0292099{col 37}{space 1}   -1.92{col 46}{space 3}0.057{col 54}{space 4}-.1135635{col 67}{space 3} .0016871
{txt}c_tfull_b_~l {c |}{col 14}{res}{space 2} .0029132{col 26}{space 2}  .038816{col 37}{space 1}    0.08{col 46}{space 3}0.940{col 54}{space 4}-.0736631{col 67}{space 3} .0794894
{txt}c_tfull_b_~s {c |}{col 14}{res}{space 2}  .014223{col 26}{space 2} .0540938{col 37}{space 1}    0.26{col 46}{space 3}0.793{col 54}{space 4}-.0924932{col 67}{space 3} .1209392
{txt}c_tfull_b_~d {c |}{col 14}{res}{space 2}-.0090924{col 26}{space 2} .0266171{col 37}{space 1}   -0.34{col 46}{space 3}0.733{col 54}{space 4}-.0616027{col 67}{space 3} .0434179
{txt}c_tfull_ed~r {c |}{col 14}{res}{space 2} .0031544{col 26}{space 2} .0018384{col 37}{space 1}    1.72{col 46}{space 3}0.088{col 54}{space 4}-.0004724{col 67}{space 3} .0067812
{txt}c_tfull_b_~x {c |}{col 14}{res}{space 2} .0006674{col 26}{space 2} .0074343{col 37}{space 1}    0.09{col 46}{space 3}0.929{col 54}{space 4} -.013999{col 67}{space 3} .0153338
{txt}{space 7}_cons {c |}{col 14}{res}{space 2}-.0020586{col 26}{space 2} .0179785{col 37}{space 1}   -0.11{col 46}{space 3}0.909{col 54}{space 4}-.0375267{col 67}{space 3} .0334095
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull = .013{p_end}

{txt}       F(  1,   186) ={res}    6.89
{txt}{col 13}Prob > F ={res}    0.0094

{p 0 7}{space 1}{text:( 1)}{space 1} treatfull = -.013{p_end}

{txt}       F(  1,   186) ={res}   13.66
{txt}{col 13}Prob > F ={res}    0.0003
{txt}note: b_patsat_z_d omitted because of collinearity
{res}
{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}     7,288
{txt}{col 49}F({res}   8{txt},{res}    186{txt}){col 67}= {res}     14.25
{txt}{col 49}Prob > F{col 67}= {res}    0.0000
{txt}{col 49}R-squared{col 67}= {res}    0.0394
{txt}{col 49}Adj R-squared{col 67}= {res}    0.0363
{txt}{col 49}Root MSE{col 67}= {res}    0.5869

{txt}{ralign 78:(Std. Err. adjusted for {res:187} clusters in hc_id)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}  e_patsat_z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2} .0766279{col 26}{space 2} .0242478{col 37}{space 1}    3.16{col 46}{space 3}0.002{col 54}{space 4} .0287919{col 67}{space 3}  .124464
{txt}{space 2}b_patsat_z {c |}{col 14}{res}{space 2} .1391849{col 26}{space 2} .0151653{col 37}{space 1}    9.18{col 46}{space 3}0.000{col 54}{space 4} .1092669{col 67}{space 3}  .169103
{txt}b_patsat_z_d {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 1}c_tfull_hc2 {c |}{col 14}{res}{space 2}-.0559382{col 26}{space 2} .0292099{col 37}{space 1}   -1.92{col 46}{space 3}0.057{col 54}{space 4}-.1135635{col 67}{space 3} .0016871
{txt}c_tfull_b_~l {c |}{col 14}{res}{space 2} .0029132{col 26}{space 2}  .038816{col 37}{space 1}    0.08{col 46}{space 3}0.940{col 54}{space 4}-.0736631{col 67}{space 3} .0794894
{txt}c_tfull_b_~s {c |}{col 14}{res}{space 2}  .014223{col 26}{space 2} .0540938{col 37}{space 1}    0.26{col 46}{space 3}0.793{col 54}{space 4}-.0924932{col 67}{space 3} .1209392
{txt}c_tfull_b_~d {c |}{col 14}{res}{space 2}-.0090924{col 26}{space 2} .0266171{col 37}{space 1}   -0.34{col 46}{space 3}0.733{col 54}{space 4}-.0616027{col 67}{space 3} .0434179
{txt}c_tfull_ed~r {c |}{col 14}{res}{space 2} .0031544{col 26}{space 2} .0018384{col 37}{space 1}    1.72{col 46}{space 3}0.088{col 54}{space 4}-.0004724{col 67}{space 3} .0067812
{txt}c_tfull_b_~x {c |}{col 14}{res}{space 2} .0006674{col 26}{space 2} .0074343{col 37}{space 1}    0.09{col 46}{space 3}0.929{col 54}{space 4} -.013999{col 67}{space 3} .0153338
{txt}{space 7}_cons {c |}{col 14}{res}{space 2}-.0020586{col 26}{space 2} .0179785{col 37}{space 1}   -0.11{col 46}{space 3}0.909{col 54}{space 4}-.0375267{col 67}{space 3} .0334095
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull = .014{p_end}

{txt}       F(  1,   186) ={res}    6.67
{txt}{col 13}Prob > F ={res}    0.0106

{p 0 7}{space 1}{text:( 1)}{space 1} treatfull = -.014{p_end}

{txt}       F(  1,   186) ={res}   13.97
{txt}{col 13}Prob > F ={res}    0.0002
{txt}note: b_patsat_z_d omitted because of collinearity
{res}
{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}     7,288
{txt}{col 49}F({res}   8{txt},{res}    186{txt}){col 67}= {res}     14.25
{txt}{col 49}Prob > F{col 67}= {res}    0.0000
{txt}{col 49}R-squared{col 67}= {res}    0.0394
{txt}{col 49}Adj R-squared{col 67}= {res}    0.0363
{txt}{col 49}Root MSE{col 67}= {res}    0.5869

{txt}{ralign 78:(Std. Err. adjusted for {res:187} clusters in hc_id)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}  e_patsat_z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2} .0766279{col 26}{space 2} .0242478{col 37}{space 1}    3.16{col 46}{space 3}0.002{col 54}{space 4} .0287919{col 67}{space 3}  .124464
{txt}{space 2}b_patsat_z {c |}{col 14}{res}{space 2} .1391849{col 26}{space 2} .0151653{col 37}{space 1}    9.18{col 46}{space 3}0.000{col 54}{space 4} .1092669{col 67}{space 3}  .169103
{txt}b_patsat_z_d {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 1}c_tfull_hc2 {c |}{col 14}{res}{space 2}-.0559382{col 26}{space 2} .0292099{col 37}{space 1}   -1.92{col 46}{space 3}0.057{col 54}{space 4}-.1135635{col 67}{space 3} .0016871
{txt}c_tfull_b_~l {c |}{col 14}{res}{space 2} .0029132{col 26}{space 2}  .038816{col 37}{space 1}    0.08{col 46}{space 3}0.940{col 54}{space 4}-.0736631{col 67}{space 3} .0794894
{txt}c_tfull_b_~s {c |}{col 14}{res}{space 2}  .014223{col 26}{space 2} .0540938{col 37}{space 1}    0.26{col 46}{space 3}0.793{col 54}{space 4}-.0924932{col 67}{space 3} .1209392
{txt}c_tfull_b_~d {c |}{col 14}{res}{space 2}-.0090924{col 26}{space 2} .0266171{col 37}{space 1}   -0.34{col 46}{space 3}0.733{col 54}{space 4}-.0616027{col 67}{space 3} .0434179
{txt}c_tfull_ed~r {c |}{col 14}{res}{space 2} .0031544{col 26}{space 2} .0018384{col 37}{space 1}    1.72{col 46}{space 3}0.088{col 54}{space 4}-.0004724{col 67}{space 3} .0067812
{txt}c_tfull_b_~x {c |}{col 14}{res}{space 2} .0006674{col 26}{space 2} .0074343{col 37}{space 1}    0.09{col 46}{space 3}0.929{col 54}{space 4} -.013999{col 67}{space 3} .0153338
{txt}{space 7}_cons {c |}{col 14}{res}{space 2}-.0020586{col 26}{space 2} .0179785{col 37}{space 1}   -0.11{col 46}{space 3}0.909{col 54}{space 4}-.0375267{col 67}{space 3} .0334095
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull = .015{p_end}

{txt}       F(  1,   186) ={res}    6.46
{txt}{col 13}Prob > F ={res}    0.0119

{p 0 7}{space 1}{text:( 1)}{space 1} treatfull = -.015{p_end}

{txt}       F(  1,   186) ={res}   14.28
{txt}{col 13}Prob > F ={res}    0.0002
{txt}note: b_patsat_z_d omitted because of collinearity
{res}
{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}     7,288
{txt}{col 49}F({res}   8{txt},{res}    186{txt}){col 67}= {res}     14.25
{txt}{col 49}Prob > F{col 67}= {res}    0.0000
{txt}{col 49}R-squared{col 67}= {res}    0.0394
{txt}{col 49}Adj R-squared{col 67}= {res}    0.0363
{txt}{col 49}Root MSE{col 67}= {res}    0.5869

{txt}{ralign 78:(Std. Err. adjusted for {res:187} clusters in hc_id)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}  e_patsat_z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2} .0766279{col 26}{space 2} .0242478{col 37}{space 1}    3.16{col 46}{space 3}0.002{col 54}{space 4} .0287919{col 67}{space 3}  .124464
{txt}{space 2}b_patsat_z {c |}{col 14}{res}{space 2} .1391849{col 26}{space 2} .0151653{col 37}{space 1}    9.18{col 46}{space 3}0.000{col 54}{space 4} .1092669{col 67}{space 3}  .169103
{txt}b_patsat_z_d {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 1}c_tfull_hc2 {c |}{col 14}{res}{space 2}-.0559382{col 26}{space 2} .0292099{col 37}{space 1}   -1.92{col 46}{space 3}0.057{col 54}{space 4}-.1135635{col 67}{space 3} .0016871
{txt}c_tfull_b_~l {c |}{col 14}{res}{space 2} .0029132{col 26}{space 2}  .038816{col 37}{space 1}    0.08{col 46}{space 3}0.940{col 54}{space 4}-.0736631{col 67}{space 3} .0794894
{txt}c_tfull_b_~s {c |}{col 14}{res}{space 2}  .014223{col 26}{space 2} .0540938{col 37}{space 1}    0.26{col 46}{space 3}0.793{col 54}{space 4}-.0924932{col 67}{space 3} .1209392
{txt}c_tfull_b_~d {c |}{col 14}{res}{space 2}-.0090924{col 26}{space 2} .0266171{col 37}{space 1}   -0.34{col 46}{space 3}0.733{col 54}{space 4}-.0616027{col 67}{space 3} .0434179
{txt}c_tfull_ed~r {c |}{col 14}{res}{space 2} .0031544{col 26}{space 2} .0018384{col 37}{space 1}    1.72{col 46}{space 3}0.088{col 54}{space 4}-.0004724{col 67}{space 3} .0067812
{txt}c_tfull_b_~x {c |}{col 14}{res}{space 2} .0006674{col 26}{space 2} .0074343{col 37}{space 1}    0.09{col 46}{space 3}0.929{col 54}{space 4} -.013999{col 67}{space 3} .0153338
{txt}{space 7}_cons {c |}{col 14}{res}{space 2}-.0020586{col 26}{space 2} .0179785{col 37}{space 1}   -0.11{col 46}{space 3}0.909{col 54}{space 4}-.0375267{col 67}{space 3} .0334095
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull = .016{p_end}

{txt}       F(  1,   186) ={res}    6.25
{txt}{col 13}Prob > F ={res}    0.0133

{p 0 7}{space 1}{text:( 1)}{space 1} treatfull = -.016{p_end}

{txt}       F(  1,   186) ={res}   14.59
{txt}{col 13}Prob > F ={res}    0.0002
{txt}note: b_patsat_z_d omitted because of collinearity
{res}
{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}     7,288
{txt}{col 49}F({res}   8{txt},{res}    186{txt}){col 67}= {res}     14.25
{txt}{col 49}Prob > F{col 67}= {res}    0.0000
{txt}{col 49}R-squared{col 67}= {res}    0.0394
{txt}{col 49}Adj R-squared{col 67}= {res}    0.0363
{txt}{col 49}Root MSE{col 67}= {res}    0.5869

{txt}{ralign 78:(Std. Err. adjusted for {res:187} clusters in hc_id)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}  e_patsat_z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2} .0766279{col 26}{space 2} .0242478{col 37}{space 1}    3.16{col 46}{space 3}0.002{col 54}{space 4} .0287919{col 67}{space 3}  .124464
{txt}{space 2}b_patsat_z {c |}{col 14}{res}{space 2} .1391849{col 26}{space 2} .0151653{col 37}{space 1}    9.18{col 46}{space 3}0.000{col 54}{space 4} .1092669{col 67}{space 3}  .169103
{txt}b_patsat_z_d {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 1}c_tfull_hc2 {c |}{col 14}{res}{space 2}-.0559382{col 26}{space 2} .0292099{col 37}{space 1}   -1.92{col 46}{space 3}0.057{col 54}{space 4}-.1135635{col 67}{space 3} .0016871
{txt}c_tfull_b_~l {c |}{col 14}{res}{space 2} .0029132{col 26}{space 2}  .038816{col 37}{space 1}    0.08{col 46}{space 3}0.940{col 54}{space 4}-.0736631{col 67}{space 3} .0794894
{txt}c_tfull_b_~s {c |}{col 14}{res}{space 2}  .014223{col 26}{space 2} .0540938{col 37}{space 1}    0.26{col 46}{space 3}0.793{col 54}{space 4}-.0924932{col 67}{space 3} .1209392
{txt}c_tfull_b_~d {c |}{col 14}{res}{space 2}-.0090924{col 26}{space 2} .0266171{col 37}{space 1}   -0.34{col 46}{space 3}0.733{col 54}{space 4}-.0616027{col 67}{space 3} .0434179
{txt}c_tfull_ed~r {c |}{col 14}{res}{space 2} .0031544{col 26}{space 2} .0018384{col 37}{space 1}    1.72{col 46}{space 3}0.088{col 54}{space 4}-.0004724{col 67}{space 3} .0067812
{txt}c_tfull_b_~x {c |}{col 14}{res}{space 2} .0006674{col 26}{space 2} .0074343{col 37}{space 1}    0.09{col 46}{space 3}0.929{col 54}{space 4} -.013999{col 67}{space 3} .0153338
{txt}{space 7}_cons {c |}{col 14}{res}{space 2}-.0020586{col 26}{space 2} .0179785{col 37}{space 1}   -0.11{col 46}{space 3}0.909{col 54}{space 4}-.0375267{col 67}{space 3} .0334095
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull = .017{p_end}

{txt}       F(  1,   186) ={res}    6.05
{txt}{col 13}Prob > F ={res}    0.0148

{p 0 7}{space 1}{text:( 1)}{space 1} treatfull = -.017{p_end}

{txt}       F(  1,   186) ={res}   14.91
{txt}{col 13}Prob > F ={res}    0.0002
{txt}note: b_patsat_z_d omitted because of collinearity
{res}
{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}     7,288
{txt}{col 49}F({res}   8{txt},{res}    186{txt}){col 67}= {res}     14.25
{txt}{col 49}Prob > F{col 67}= {res}    0.0000
{txt}{col 49}R-squared{col 67}= {res}    0.0394
{txt}{col 49}Adj R-squared{col 67}= {res}    0.0363
{txt}{col 49}Root MSE{col 67}= {res}    0.5869

{txt}{ralign 78:(Std. Err. adjusted for {res:187} clusters in hc_id)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}  e_patsat_z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2} .0766279{col 26}{space 2} .0242478{col 37}{space 1}    3.16{col 46}{space 3}0.002{col 54}{space 4} .0287919{col 67}{space 3}  .124464
{txt}{space 2}b_patsat_z {c |}{col 14}{res}{space 2} .1391849{col 26}{space 2} .0151653{col 37}{space 1}    9.18{col 46}{space 3}0.000{col 54}{space 4} .1092669{col 67}{space 3}  .169103
{txt}b_patsat_z_d {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 1}c_tfull_hc2 {c |}{col 14}{res}{space 2}-.0559382{col 26}{space 2} .0292099{col 37}{space 1}   -1.92{col 46}{space 3}0.057{col 54}{space 4}-.1135635{col 67}{space 3} .0016871
{txt}c_tfull_b_~l {c |}{col 14}{res}{space 2} .0029132{col 26}{space 2}  .038816{col 37}{space 1}    0.08{col 46}{space 3}0.940{col 54}{space 4}-.0736631{col 67}{space 3} .0794894
{txt}c_tfull_b_~s {c |}{col 14}{res}{space 2}  .014223{col 26}{space 2} .0540938{col 37}{space 1}    0.26{col 46}{space 3}0.793{col 54}{space 4}-.0924932{col 67}{space 3} .1209392
{txt}c_tfull_b_~d {c |}{col 14}{res}{space 2}-.0090924{col 26}{space 2} .0266171{col 37}{space 1}   -0.34{col 46}{space 3}0.733{col 54}{space 4}-.0616027{col 67}{space 3} .0434179
{txt}c_tfull_ed~r {c |}{col 14}{res}{space 2} .0031544{col 26}{space 2} .0018384{col 37}{space 1}    1.72{col 46}{space 3}0.088{col 54}{space 4}-.0004724{col 67}{space 3} .0067812
{txt}c_tfull_b_~x {c |}{col 14}{res}{space 2} .0006674{col 26}{space 2} .0074343{col 37}{space 1}    0.09{col 46}{space 3}0.929{col 54}{space 4} -.013999{col 67}{space 3} .0153338
{txt}{space 7}_cons {c |}{col 14}{res}{space 2}-.0020586{col 26}{space 2} .0179785{col 37}{space 1}   -0.11{col 46}{space 3}0.909{col 54}{space 4}-.0375267{col 67}{space 3} .0334095
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull = .018{p_end}

{txt}       F(  1,   186) ={res}    5.85
{txt}{col 13}Prob > F ={res}    0.0166

{p 0 7}{space 1}{text:( 1)}{space 1} treatfull = -.018{p_end}

{txt}       F(  1,   186) ={res}   15.23
{txt}{col 13}Prob > F ={res}    0.0001
{txt}note: b_patsat_z_d omitted because of collinearity
{res}
{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}     7,288
{txt}{col 49}F({res}   8{txt},{res}    186{txt}){col 67}= {res}     14.25
{txt}{col 49}Prob > F{col 67}= {res}    0.0000
{txt}{col 49}R-squared{col 67}= {res}    0.0394
{txt}{col 49}Adj R-squared{col 67}= {res}    0.0363
{txt}{col 49}Root MSE{col 67}= {res}    0.5869

{txt}{ralign 78:(Std. Err. adjusted for {res:187} clusters in hc_id)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}  e_patsat_z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2} .0766279{col 26}{space 2} .0242478{col 37}{space 1}    3.16{col 46}{space 3}0.002{col 54}{space 4} .0287919{col 67}{space 3}  .124464
{txt}{space 2}b_patsat_z {c |}{col 14}{res}{space 2} .1391849{col 26}{space 2} .0151653{col 37}{space 1}    9.18{col 46}{space 3}0.000{col 54}{space 4} .1092669{col 67}{space 3}  .169103
{txt}b_patsat_z_d {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 1}c_tfull_hc2 {c |}{col 14}{res}{space 2}-.0559382{col 26}{space 2} .0292099{col 37}{space 1}   -1.92{col 46}{space 3}0.057{col 54}{space 4}-.1135635{col 67}{space 3} .0016871
{txt}c_tfull_b_~l {c |}{col 14}{res}{space 2} .0029132{col 26}{space 2}  .038816{col 37}{space 1}    0.08{col 46}{space 3}0.940{col 54}{space 4}-.0736631{col 67}{space 3} .0794894
{txt}c_tfull_b_~s {c |}{col 14}{res}{space 2}  .014223{col 26}{space 2} .0540938{col 37}{space 1}    0.26{col 46}{space 3}0.793{col 54}{space 4}-.0924932{col 67}{space 3} .1209392
{txt}c_tfull_b_~d {c |}{col 14}{res}{space 2}-.0090924{col 26}{space 2} .0266171{col 37}{space 1}   -0.34{col 46}{space 3}0.733{col 54}{space 4}-.0616027{col 67}{space 3} .0434179
{txt}c_tfull_ed~r {c |}{col 14}{res}{space 2} .0031544{col 26}{space 2} .0018384{col 37}{space 1}    1.72{col 46}{space 3}0.088{col 54}{space 4}-.0004724{col 67}{space 3} .0067812
{txt}c_tfull_b_~x {c |}{col 14}{res}{space 2} .0006674{col 26}{space 2} .0074343{col 37}{space 1}    0.09{col 46}{space 3}0.929{col 54}{space 4} -.013999{col 67}{space 3} .0153338
{txt}{space 7}_cons {c |}{col 14}{res}{space 2}-.0020586{col 26}{space 2} .0179785{col 37}{space 1}   -0.11{col 46}{space 3}0.909{col 54}{space 4}-.0375267{col 67}{space 3} .0334095
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull = .019{p_end}

{txt}       F(  1,   186) ={res}    5.65
{txt}{col 13}Prob > F ={res}    0.0185

{p 0 7}{space 1}{text:( 1)}{space 1} treatfull = -.019{p_end}

{txt}       F(  1,   186) ={res}   15.55
{txt}{col 13}Prob > F ={res}    0.0001
{txt}note: b_patsat_z_d omitted because of collinearity
{res}
{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}     7,288
{txt}{col 49}F({res}   8{txt},{res}    186{txt}){col 67}= {res}     14.25
{txt}{col 49}Prob > F{col 67}= {res}    0.0000
{txt}{col 49}R-squared{col 67}= {res}    0.0394
{txt}{col 49}Adj R-squared{col 67}= {res}    0.0363
{txt}{col 49}Root MSE{col 67}= {res}    0.5869

{txt}{ralign 78:(Std. Err. adjusted for {res:187} clusters in hc_id)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}  e_patsat_z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2} .0766279{col 26}{space 2} .0242478{col 37}{space 1}    3.16{col 46}{space 3}0.002{col 54}{space 4} .0287919{col 67}{space 3}  .124464
{txt}{space 2}b_patsat_z {c |}{col 14}{res}{space 2} .1391849{col 26}{space 2} .0151653{col 37}{space 1}    9.18{col 46}{space 3}0.000{col 54}{space 4} .1092669{col 67}{space 3}  .169103
{txt}b_patsat_z_d {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 1}c_tfull_hc2 {c |}{col 14}{res}{space 2}-.0559382{col 26}{space 2} .0292099{col 37}{space 1}   -1.92{col 46}{space 3}0.057{col 54}{space 4}-.1135635{col 67}{space 3} .0016871
{txt}c_tfull_b_~l {c |}{col 14}{res}{space 2} .0029132{col 26}{space 2}  .038816{col 37}{space 1}    0.08{col 46}{space 3}0.940{col 54}{space 4}-.0736631{col 67}{space 3} .0794894
{txt}c_tfull_b_~s {c |}{col 14}{res}{space 2}  .014223{col 26}{space 2} .0540938{col 37}{space 1}    0.26{col 46}{space 3}0.793{col 54}{space 4}-.0924932{col 67}{space 3} .1209392
{txt}c_tfull_b_~d {c |}{col 14}{res}{space 2}-.0090924{col 26}{space 2} .0266171{col 37}{space 1}   -0.34{col 46}{space 3}0.733{col 54}{space 4}-.0616027{col 67}{space 3} .0434179
{txt}c_tfull_ed~r {c |}{col 14}{res}{space 2} .0031544{col 26}{space 2} .0018384{col 37}{space 1}    1.72{col 46}{space 3}0.088{col 54}{space 4}-.0004724{col 67}{space 3} .0067812
{txt}c_tfull_b_~x {c |}{col 14}{res}{space 2} .0006674{col 26}{space 2} .0074343{col 37}{space 1}    0.09{col 46}{space 3}0.929{col 54}{space 4} -.013999{col 67}{space 3} .0153338
{txt}{space 7}_cons {c |}{col 14}{res}{space 2}-.0020586{col 26}{space 2} .0179785{col 37}{space 1}   -0.11{col 46}{space 3}0.909{col 54}{space 4}-.0375267{col 67}{space 3} .0334095
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull = .02{p_end}

{txt}       F(  1,   186) ={res}    5.45
{txt}{col 13}Prob > F ={res}    0.0206

{p 0 7}{space 1}{text:( 1)}{space 1} treatfull = -.02{p_end}

{txt}       F(  1,   186) ={res}   15.88
{txt}{col 13}Prob > F ={res}    0.0001
{txt}note: b_patsat_z_d omitted because of collinearity
{res}
{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}     7,288
{txt}{col 49}F({res}   8{txt},{res}    186{txt}){col 67}= {res}     14.25
{txt}{col 49}Prob > F{col 67}= {res}    0.0000
{txt}{col 49}R-squared{col 67}= {res}    0.0394
{txt}{col 49}Adj R-squared{col 67}= {res}    0.0363
{txt}{col 49}Root MSE{col 67}= {res}    0.5869

{txt}{ralign 78:(Std. Err. adjusted for {res:187} clusters in hc_id)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}  e_patsat_z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2} .0766279{col 26}{space 2} .0242478{col 37}{space 1}    3.16{col 46}{space 3}0.002{col 54}{space 4} .0287919{col 67}{space 3}  .124464
{txt}{space 2}b_patsat_z {c |}{col 14}{res}{space 2} .1391849{col 26}{space 2} .0151653{col 37}{space 1}    9.18{col 46}{space 3}0.000{col 54}{space 4} .1092669{col 67}{space 3}  .169103
{txt}b_patsat_z_d {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 1}c_tfull_hc2 {c |}{col 14}{res}{space 2}-.0559382{col 26}{space 2} .0292099{col 37}{space 1}   -1.92{col 46}{space 3}0.057{col 54}{space 4}-.1135635{col 67}{space 3} .0016871
{txt}c_tfull_b_~l {c |}{col 14}{res}{space 2} .0029132{col 26}{space 2}  .038816{col 37}{space 1}    0.08{col 46}{space 3}0.940{col 54}{space 4}-.0736631{col 67}{space 3} .0794894
{txt}c_tfull_b_~s {c |}{col 14}{res}{space 2}  .014223{col 26}{space 2} .0540938{col 37}{space 1}    0.26{col 46}{space 3}0.793{col 54}{space 4}-.0924932{col 67}{space 3} .1209392
{txt}c_tfull_b_~d {c |}{col 14}{res}{space 2}-.0090924{col 26}{space 2} .0266171{col 37}{space 1}   -0.34{col 46}{space 3}0.733{col 54}{space 4}-.0616027{col 67}{space 3} .0434179
{txt}c_tfull_ed~r {c |}{col 14}{res}{space 2} .0031544{col 26}{space 2} .0018384{col 37}{space 1}    1.72{col 46}{space 3}0.088{col 54}{space 4}-.0004724{col 67}{space 3} .0067812
{txt}c_tfull_b_~x {c |}{col 14}{res}{space 2} .0006674{col 26}{space 2} .0074343{col 37}{space 1}    0.09{col 46}{space 3}0.929{col 54}{space 4} -.013999{col 67}{space 3} .0153338
{txt}{space 7}_cons {c |}{col 14}{res}{space 2}-.0020586{col 26}{space 2} .0179785{col 37}{space 1}   -0.11{col 46}{space 3}0.909{col 54}{space 4}-.0375267{col 67}{space 3} .0334095
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull = .021{p_end}

{txt}       F(  1,   186) ={res}    5.26
{txt}{col 13}Prob > F ={res}    0.0229

{p 0 7}{space 1}{text:( 1)}{space 1} treatfull = -.021{p_end}

{txt}       F(  1,   186) ={res}   16.21
{txt}{col 13}Prob > F ={res}    0.0001
{txt}note: b_patsat_z_d omitted because of collinearity
{res}
{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}     7,288
{txt}{col 49}F({res}   8{txt},{res}    186{txt}){col 67}= {res}     14.25
{txt}{col 49}Prob > F{col 67}= {res}    0.0000
{txt}{col 49}R-squared{col 67}= {res}    0.0394
{txt}{col 49}Adj R-squared{col 67}= {res}    0.0363
{txt}{col 49}Root MSE{col 67}= {res}    0.5869

{txt}{ralign 78:(Std. Err. adjusted for {res:187} clusters in hc_id)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}  e_patsat_z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2} .0766279{col 26}{space 2} .0242478{col 37}{space 1}    3.16{col 46}{space 3}0.002{col 54}{space 4} .0287919{col 67}{space 3}  .124464
{txt}{space 2}b_patsat_z {c |}{col 14}{res}{space 2} .1391849{col 26}{space 2} .0151653{col 37}{space 1}    9.18{col 46}{space 3}0.000{col 54}{space 4} .1092669{col 67}{space 3}  .169103
{txt}b_patsat_z_d {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 1}c_tfull_hc2 {c |}{col 14}{res}{space 2}-.0559382{col 26}{space 2} .0292099{col 37}{space 1}   -1.92{col 46}{space 3}0.057{col 54}{space 4}-.1135635{col 67}{space 3} .0016871
{txt}c_tfull_b_~l {c |}{col 14}{res}{space 2} .0029132{col 26}{space 2}  .038816{col 37}{space 1}    0.08{col 46}{space 3}0.940{col 54}{space 4}-.0736631{col 67}{space 3} .0794894
{txt}c_tfull_b_~s {c |}{col 14}{res}{space 2}  .014223{col 26}{space 2} .0540938{col 37}{space 1}    0.26{col 46}{space 3}0.793{col 54}{space 4}-.0924932{col 67}{space 3} .1209392
{txt}c_tfull_b_~d {c |}{col 14}{res}{space 2}-.0090924{col 26}{space 2} .0266171{col 37}{space 1}   -0.34{col 46}{space 3}0.733{col 54}{space 4}-.0616027{col 67}{space 3} .0434179
{txt}c_tfull_ed~r {c |}{col 14}{res}{space 2} .0031544{col 26}{space 2} .0018384{col 37}{space 1}    1.72{col 46}{space 3}0.088{col 54}{space 4}-.0004724{col 67}{space 3} .0067812
{txt}c_tfull_b_~x {c |}{col 14}{res}{space 2} .0006674{col 26}{space 2} .0074343{col 37}{space 1}    0.09{col 46}{space 3}0.929{col 54}{space 4} -.013999{col 67}{space 3} .0153338
{txt}{space 7}_cons {c |}{col 14}{res}{space 2}-.0020586{col 26}{space 2} .0179785{col 37}{space 1}   -0.11{col 46}{space 3}0.909{col 54}{space 4}-.0375267{col 67}{space 3} .0334095
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull = .022{p_end}

{txt}       F(  1,   186) ={res}    5.08
{txt}{col 13}Prob > F ={res}    0.0254

{p 0 7}{space 1}{text:( 1)}{space 1} treatfull = -.022{p_end}

{txt}       F(  1,   186) ={res}   16.54
{txt}{col 13}Prob > F ={res}    0.0001
{txt}note: b_patsat_z_d omitted because of collinearity
{res}
{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}     7,288
{txt}{col 49}F({res}   8{txt},{res}    186{txt}){col 67}= {res}     14.25
{txt}{col 49}Prob > F{col 67}= {res}    0.0000
{txt}{col 49}R-squared{col 67}= {res}    0.0394
{txt}{col 49}Adj R-squared{col 67}= {res}    0.0363
{txt}{col 49}Root MSE{col 67}= {res}    0.5869

{txt}{ralign 78:(Std. Err. adjusted for {res:187} clusters in hc_id)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}  e_patsat_z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2} .0766279{col 26}{space 2} .0242478{col 37}{space 1}    3.16{col 46}{space 3}0.002{col 54}{space 4} .0287919{col 67}{space 3}  .124464
{txt}{space 2}b_patsat_z {c |}{col 14}{res}{space 2} .1391849{col 26}{space 2} .0151653{col 37}{space 1}    9.18{col 46}{space 3}0.000{col 54}{space 4} .1092669{col 67}{space 3}  .169103
{txt}b_patsat_z_d {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 1}c_tfull_hc2 {c |}{col 14}{res}{space 2}-.0559382{col 26}{space 2} .0292099{col 37}{space 1}   -1.92{col 46}{space 3}0.057{col 54}{space 4}-.1135635{col 67}{space 3} .0016871
{txt}c_tfull_b_~l {c |}{col 14}{res}{space 2} .0029132{col 26}{space 2}  .038816{col 37}{space 1}    0.08{col 46}{space 3}0.940{col 54}{space 4}-.0736631{col 67}{space 3} .0794894
{txt}c_tfull_b_~s {c |}{col 14}{res}{space 2}  .014223{col 26}{space 2} .0540938{col 37}{space 1}    0.26{col 46}{space 3}0.793{col 54}{space 4}-.0924932{col 67}{space 3} .1209392
{txt}c_tfull_b_~d {c |}{col 14}{res}{space 2}-.0090924{col 26}{space 2} .0266171{col 37}{space 1}   -0.34{col 46}{space 3}0.733{col 54}{space 4}-.0616027{col 67}{space 3} .0434179
{txt}c_tfull_ed~r {c |}{col 14}{res}{space 2} .0031544{col 26}{space 2} .0018384{col 37}{space 1}    1.72{col 46}{space 3}0.088{col 54}{space 4}-.0004724{col 67}{space 3} .0067812
{txt}c_tfull_b_~x {c |}{col 14}{res}{space 2} .0006674{col 26}{space 2} .0074343{col 37}{space 1}    0.09{col 46}{space 3}0.929{col 54}{space 4} -.013999{col 67}{space 3} .0153338
{txt}{space 7}_cons {c |}{col 14}{res}{space 2}-.0020586{col 26}{space 2} .0179785{col 37}{space 1}   -0.11{col 46}{space 3}0.909{col 54}{space 4}-.0375267{col 67}{space 3} .0334095
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull = .023{p_end}

{txt}       F(  1,   186) ={res}    4.89
{txt}{col 13}Prob > F ={res}    0.0282

{p 0 7}{space 1}{text:( 1)}{space 1} treatfull = -.023{p_end}

{txt}       F(  1,   186) ={res}   16.88
{txt}{col 13}Prob > F ={res}    0.0001
{txt}note: b_patsat_z_d omitted because of collinearity
{res}
{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}     7,288
{txt}{col 49}F({res}   8{txt},{res}    186{txt}){col 67}= {res}     14.25
{txt}{col 49}Prob > F{col 67}= {res}    0.0000
{txt}{col 49}R-squared{col 67}= {res}    0.0394
{txt}{col 49}Adj R-squared{col 67}= {res}    0.0363
{txt}{col 49}Root MSE{col 67}= {res}    0.5869

{txt}{ralign 78:(Std. Err. adjusted for {res:187} clusters in hc_id)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}  e_patsat_z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2} .0766279{col 26}{space 2} .0242478{col 37}{space 1}    3.16{col 46}{space 3}0.002{col 54}{space 4} .0287919{col 67}{space 3}  .124464
{txt}{space 2}b_patsat_z {c |}{col 14}{res}{space 2} .1391849{col 26}{space 2} .0151653{col 37}{space 1}    9.18{col 46}{space 3}0.000{col 54}{space 4} .1092669{col 67}{space 3}  .169103
{txt}b_patsat_z_d {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 1}c_tfull_hc2 {c |}{col 14}{res}{space 2}-.0559382{col 26}{space 2} .0292099{col 37}{space 1}   -1.92{col 46}{space 3}0.057{col 54}{space 4}-.1135635{col 67}{space 3} .0016871
{txt}c_tfull_b_~l {c |}{col 14}{res}{space 2} .0029132{col 26}{space 2}  .038816{col 37}{space 1}    0.08{col 46}{space 3}0.940{col 54}{space 4}-.0736631{col 67}{space 3} .0794894
{txt}c_tfull_b_~s {c |}{col 14}{res}{space 2}  .014223{col 26}{space 2} .0540938{col 37}{space 1}    0.26{col 46}{space 3}0.793{col 54}{space 4}-.0924932{col 67}{space 3} .1209392
{txt}c_tfull_b_~d {c |}{col 14}{res}{space 2}-.0090924{col 26}{space 2} .0266171{col 37}{space 1}   -0.34{col 46}{space 3}0.733{col 54}{space 4}-.0616027{col 67}{space 3} .0434179
{txt}c_tfull_ed~r {c |}{col 14}{res}{space 2} .0031544{col 26}{space 2} .0018384{col 37}{space 1}    1.72{col 46}{space 3}0.088{col 54}{space 4}-.0004724{col 67}{space 3} .0067812
{txt}c_tfull_b_~x {c |}{col 14}{res}{space 2} .0006674{col 26}{space 2} .0074343{col 37}{space 1}    0.09{col 46}{space 3}0.929{col 54}{space 4} -.013999{col 67}{space 3} .0153338
{txt}{space 7}_cons {c |}{col 14}{res}{space 2}-.0020586{col 26}{space 2} .0179785{col 37}{space 1}   -0.11{col 46}{space 3}0.909{col 54}{space 4}-.0375267{col 67}{space 3} .0334095
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull = .024{p_end}

{txt}       F(  1,   186) ={res}    4.71
{txt}{col 13}Prob > F ={res}    0.0312

{p 0 7}{space 1}{text:( 1)}{space 1} treatfull = -.024{p_end}

{txt}       F(  1,   186) ={res}   17.22
{txt}{col 13}Prob > F ={res}    0.0001
{txt}note: b_patsat_z_d omitted because of collinearity
{res}
{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}     7,288
{txt}{col 49}F({res}   8{txt},{res}    186{txt}){col 67}= {res}     14.25
{txt}{col 49}Prob > F{col 67}= {res}    0.0000
{txt}{col 49}R-squared{col 67}= {res}    0.0394
{txt}{col 49}Adj R-squared{col 67}= {res}    0.0363
{txt}{col 49}Root MSE{col 67}= {res}    0.5869

{txt}{ralign 78:(Std. Err. adjusted for {res:187} clusters in hc_id)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}  e_patsat_z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2} .0766279{col 26}{space 2} .0242478{col 37}{space 1}    3.16{col 46}{space 3}0.002{col 54}{space 4} .0287919{col 67}{space 3}  .124464
{txt}{space 2}b_patsat_z {c |}{col 14}{res}{space 2} .1391849{col 26}{space 2} .0151653{col 37}{space 1}    9.18{col 46}{space 3}0.000{col 54}{space 4} .1092669{col 67}{space 3}  .169103
{txt}b_patsat_z_d {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 1}c_tfull_hc2 {c |}{col 14}{res}{space 2}-.0559382{col 26}{space 2} .0292099{col 37}{space 1}   -1.92{col 46}{space 3}0.057{col 54}{space 4}-.1135635{col 67}{space 3} .0016871
{txt}c_tfull_b_~l {c |}{col 14}{res}{space 2} .0029132{col 26}{space 2}  .038816{col 37}{space 1}    0.08{col 46}{space 3}0.940{col 54}{space 4}-.0736631{col 67}{space 3} .0794894
{txt}c_tfull_b_~s {c |}{col 14}{res}{space 2}  .014223{col 26}{space 2} .0540938{col 37}{space 1}    0.26{col 46}{space 3}0.793{col 54}{space 4}-.0924932{col 67}{space 3} .1209392
{txt}c_tfull_b_~d {c |}{col 14}{res}{space 2}-.0090924{col 26}{space 2} .0266171{col 37}{space 1}   -0.34{col 46}{space 3}0.733{col 54}{space 4}-.0616027{col 67}{space 3} .0434179
{txt}c_tfull_ed~r {c |}{col 14}{res}{space 2} .0031544{col 26}{space 2} .0018384{col 37}{space 1}    1.72{col 46}{space 3}0.088{col 54}{space 4}-.0004724{col 67}{space 3} .0067812
{txt}c_tfull_b_~x {c |}{col 14}{res}{space 2} .0006674{col 26}{space 2} .0074343{col 37}{space 1}    0.09{col 46}{space 3}0.929{col 54}{space 4} -.013999{col 67}{space 3} .0153338
{txt}{space 7}_cons {c |}{col 14}{res}{space 2}-.0020586{col 26}{space 2} .0179785{col 37}{space 1}   -0.11{col 46}{space 3}0.909{col 54}{space 4}-.0375267{col 67}{space 3} .0334095
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull = .025{p_end}

{txt}       F(  1,   186) ={res}    4.53
{txt}{col 13}Prob > F ={res}    0.0346

{p 0 7}{space 1}{text:( 1)}{space 1} treatfull = -.025{p_end}

{txt}       F(  1,   186) ={res}   17.57
{txt}{col 13}Prob > F ={res}    0.0000
{txt}note: b_patsat_z_d omitted because of collinearity
{res}
{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}     7,288
{txt}{col 49}F({res}   8{txt},{res}    186{txt}){col 67}= {res}     14.25
{txt}{col 49}Prob > F{col 67}= {res}    0.0000
{txt}{col 49}R-squared{col 67}= {res}    0.0394
{txt}{col 49}Adj R-squared{col 67}= {res}    0.0363
{txt}{col 49}Root MSE{col 67}= {res}    0.5869

{txt}{ralign 78:(Std. Err. adjusted for {res:187} clusters in hc_id)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}  e_patsat_z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2} .0766279{col 26}{space 2} .0242478{col 37}{space 1}    3.16{col 46}{space 3}0.002{col 54}{space 4} .0287919{col 67}{space 3}  .124464
{txt}{space 2}b_patsat_z {c |}{col 14}{res}{space 2} .1391849{col 26}{space 2} .0151653{col 37}{space 1}    9.18{col 46}{space 3}0.000{col 54}{space 4} .1092669{col 67}{space 3}  .169103
{txt}b_patsat_z_d {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 1}c_tfull_hc2 {c |}{col 14}{res}{space 2}-.0559382{col 26}{space 2} .0292099{col 37}{space 1}   -1.92{col 46}{space 3}0.057{col 54}{space 4}-.1135635{col 67}{space 3} .0016871
{txt}c_tfull_b_~l {c |}{col 14}{res}{space 2} .0029132{col 26}{space 2}  .038816{col 37}{space 1}    0.08{col 46}{space 3}0.940{col 54}{space 4}-.0736631{col 67}{space 3} .0794894
{txt}c_tfull_b_~s {c |}{col 14}{res}{space 2}  .014223{col 26}{space 2} .0540938{col 37}{space 1}    0.26{col 46}{space 3}0.793{col 54}{space 4}-.0924932{col 67}{space 3} .1209392
{txt}c_tfull_b_~d {c |}{col 14}{res}{space 2}-.0090924{col 26}{space 2} .0266171{col 37}{space 1}   -0.34{col 46}{space 3}0.733{col 54}{space 4}-.0616027{col 67}{space 3} .0434179
{txt}c_tfull_ed~r {c |}{col 14}{res}{space 2} .0031544{col 26}{space 2} .0018384{col 37}{space 1}    1.72{col 46}{space 3}0.088{col 54}{space 4}-.0004724{col 67}{space 3} .0067812
{txt}c_tfull_b_~x {c |}{col 14}{res}{space 2} .0006674{col 26}{space 2} .0074343{col 37}{space 1}    0.09{col 46}{space 3}0.929{col 54}{space 4} -.013999{col 67}{space 3} .0153338
{txt}{space 7}_cons {c |}{col 14}{res}{space 2}-.0020586{col 26}{space 2} .0179785{col 37}{space 1}   -0.11{col 46}{space 3}0.909{col 54}{space 4}-.0375267{col 67}{space 3} .0334095
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull = .026{p_end}

{txt}       F(  1,   186) ={res}    4.36
{txt}{col 13}Prob > F ={res}    0.0382

{p 0 7}{space 1}{text:( 1)}{space 1} treatfull = -.026{p_end}

{txt}       F(  1,   186) ={res}   17.91
{txt}{col 13}Prob > F ={res}    0.0000
{txt}note: b_patsat_z_d omitted because of collinearity
{res}
{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}     7,288
{txt}{col 49}F({res}   8{txt},{res}    186{txt}){col 67}= {res}     14.25
{txt}{col 49}Prob > F{col 67}= {res}    0.0000
{txt}{col 49}R-squared{col 67}= {res}    0.0394
{txt}{col 49}Adj R-squared{col 67}= {res}    0.0363
{txt}{col 49}Root MSE{col 67}= {res}    0.5869

{txt}{ralign 78:(Std. Err. adjusted for {res:187} clusters in hc_id)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}  e_patsat_z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2} .0766279{col 26}{space 2} .0242478{col 37}{space 1}    3.16{col 46}{space 3}0.002{col 54}{space 4} .0287919{col 67}{space 3}  .124464
{txt}{space 2}b_patsat_z {c |}{col 14}{res}{space 2} .1391849{col 26}{space 2} .0151653{col 37}{space 1}    9.18{col 46}{space 3}0.000{col 54}{space 4} .1092669{col 67}{space 3}  .169103
{txt}b_patsat_z_d {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 1}c_tfull_hc2 {c |}{col 14}{res}{space 2}-.0559382{col 26}{space 2} .0292099{col 37}{space 1}   -1.92{col 46}{space 3}0.057{col 54}{space 4}-.1135635{col 67}{space 3} .0016871
{txt}c_tfull_b_~l {c |}{col 14}{res}{space 2} .0029132{col 26}{space 2}  .038816{col 37}{space 1}    0.08{col 46}{space 3}0.940{col 54}{space 4}-.0736631{col 67}{space 3} .0794894
{txt}c_tfull_b_~s {c |}{col 14}{res}{space 2}  .014223{col 26}{space 2} .0540938{col 37}{space 1}    0.26{col 46}{space 3}0.793{col 54}{space 4}-.0924932{col 67}{space 3} .1209392
{txt}c_tfull_b_~d {c |}{col 14}{res}{space 2}-.0090924{col 26}{space 2} .0266171{col 37}{space 1}   -0.34{col 46}{space 3}0.733{col 54}{space 4}-.0616027{col 67}{space 3} .0434179
{txt}c_tfull_ed~r {c |}{col 14}{res}{space 2} .0031544{col 26}{space 2} .0018384{col 37}{space 1}    1.72{col 46}{space 3}0.088{col 54}{space 4}-.0004724{col 67}{space 3} .0067812
{txt}c_tfull_b_~x {c |}{col 14}{res}{space 2} .0006674{col 26}{space 2} .0074343{col 37}{space 1}    0.09{col 46}{space 3}0.929{col 54}{space 4} -.013999{col 67}{space 3} .0153338
{txt}{space 7}_cons {c |}{col 14}{res}{space 2}-.0020586{col 26}{space 2} .0179785{col 37}{space 1}   -0.11{col 46}{space 3}0.909{col 54}{space 4}-.0375267{col 67}{space 3} .0334095
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull = .027{p_end}

{txt}       F(  1,   186) ={res}    4.19
{txt}{col 13}Prob > F ={res}    0.0421

{p 0 7}{space 1}{text:( 1)}{space 1} treatfull = -.027{p_end}

{txt}       F(  1,   186) ={res}   18.26
{txt}{col 13}Prob > F ={res}    0.0000
{txt}note: b_patsat_z_d omitted because of collinearity
{res}
{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}     7,288
{txt}{col 49}F({res}   8{txt},{res}    186{txt}){col 67}= {res}     14.25
{txt}{col 49}Prob > F{col 67}= {res}    0.0000
{txt}{col 49}R-squared{col 67}= {res}    0.0394
{txt}{col 49}Adj R-squared{col 67}= {res}    0.0363
{txt}{col 49}Root MSE{col 67}= {res}    0.5869

{txt}{ralign 78:(Std. Err. adjusted for {res:187} clusters in hc_id)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}  e_patsat_z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2} .0766279{col 26}{space 2} .0242478{col 37}{space 1}    3.16{col 46}{space 3}0.002{col 54}{space 4} .0287919{col 67}{space 3}  .124464
{txt}{space 2}b_patsat_z {c |}{col 14}{res}{space 2} .1391849{col 26}{space 2} .0151653{col 37}{space 1}    9.18{col 46}{space 3}0.000{col 54}{space 4} .1092669{col 67}{space 3}  .169103
{txt}b_patsat_z_d {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 1}c_tfull_hc2 {c |}{col 14}{res}{space 2}-.0559382{col 26}{space 2} .0292099{col 37}{space 1}   -1.92{col 46}{space 3}0.057{col 54}{space 4}-.1135635{col 67}{space 3} .0016871
{txt}c_tfull_b_~l {c |}{col 14}{res}{space 2} .0029132{col 26}{space 2}  .038816{col 37}{space 1}    0.08{col 46}{space 3}0.940{col 54}{space 4}-.0736631{col 67}{space 3} .0794894
{txt}c_tfull_b_~s {c |}{col 14}{res}{space 2}  .014223{col 26}{space 2} .0540938{col 37}{space 1}    0.26{col 46}{space 3}0.793{col 54}{space 4}-.0924932{col 67}{space 3} .1209392
{txt}c_tfull_b_~d {c |}{col 14}{res}{space 2}-.0090924{col 26}{space 2} .0266171{col 37}{space 1}   -0.34{col 46}{space 3}0.733{col 54}{space 4}-.0616027{col 67}{space 3} .0434179
{txt}c_tfull_ed~r {c |}{col 14}{res}{space 2} .0031544{col 26}{space 2} .0018384{col 37}{space 1}    1.72{col 46}{space 3}0.088{col 54}{space 4}-.0004724{col 67}{space 3} .0067812
{txt}c_tfull_b_~x {c |}{col 14}{res}{space 2} .0006674{col 26}{space 2} .0074343{col 37}{space 1}    0.09{col 46}{space 3}0.929{col 54}{space 4} -.013999{col 67}{space 3} .0153338
{txt}{space 7}_cons {c |}{col 14}{res}{space 2}-.0020586{col 26}{space 2} .0179785{col 37}{space 1}   -0.11{col 46}{space 3}0.909{col 54}{space 4}-.0375267{col 67}{space 3} .0334095
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull = .028{p_end}

{txt}       F(  1,   186) ={res}    4.02
{txt}{col 13}Prob > F ={res}    0.0464

{p 0 7}{space 1}{text:( 1)}{space 1} treatfull = -.028{p_end}

{txt}       F(  1,   186) ={res}   18.62
{txt}{col 13}Prob > F ={res}    0.0000
{txt}note: b_patsat_z_d omitted because of collinearity
{res}
{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}     7,288
{txt}{col 49}F({res}   8{txt},{res}    186{txt}){col 67}= {res}     14.25
{txt}{col 49}Prob > F{col 67}= {res}    0.0000
{txt}{col 49}R-squared{col 67}= {res}    0.0394
{txt}{col 49}Adj R-squared{col 67}= {res}    0.0363
{txt}{col 49}Root MSE{col 67}= {res}    0.5869

{txt}{ralign 78:(Std. Err. adjusted for {res:187} clusters in hc_id)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}  e_patsat_z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2} .0766279{col 26}{space 2} .0242478{col 37}{space 1}    3.16{col 46}{space 3}0.002{col 54}{space 4} .0287919{col 67}{space 3}  .124464
{txt}{space 2}b_patsat_z {c |}{col 14}{res}{space 2} .1391849{col 26}{space 2} .0151653{col 37}{space 1}    9.18{col 46}{space 3}0.000{col 54}{space 4} .1092669{col 67}{space 3}  .169103
{txt}b_patsat_z_d {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 1}c_tfull_hc2 {c |}{col 14}{res}{space 2}-.0559382{col 26}{space 2} .0292099{col 37}{space 1}   -1.92{col 46}{space 3}0.057{col 54}{space 4}-.1135635{col 67}{space 3} .0016871
{txt}c_tfull_b_~l {c |}{col 14}{res}{space 2} .0029132{col 26}{space 2}  .038816{col 37}{space 1}    0.08{col 46}{space 3}0.940{col 54}{space 4}-.0736631{col 67}{space 3} .0794894
{txt}c_tfull_b_~s {c |}{col 14}{res}{space 2}  .014223{col 26}{space 2} .0540938{col 37}{space 1}    0.26{col 46}{space 3}0.793{col 54}{space 4}-.0924932{col 67}{space 3} .1209392
{txt}c_tfull_b_~d {c |}{col 14}{res}{space 2}-.0090924{col 26}{space 2} .0266171{col 37}{space 1}   -0.34{col 46}{space 3}0.733{col 54}{space 4}-.0616027{col 67}{space 3} .0434179
{txt}c_tfull_ed~r {c |}{col 14}{res}{space 2} .0031544{col 26}{space 2} .0018384{col 37}{space 1}    1.72{col 46}{space 3}0.088{col 54}{space 4}-.0004724{col 67}{space 3} .0067812
{txt}c_tfull_b_~x {c |}{col 14}{res}{space 2} .0006674{col 26}{space 2} .0074343{col 37}{space 1}    0.09{col 46}{space 3}0.929{col 54}{space 4} -.013999{col 67}{space 3} .0153338
{txt}{space 7}_cons {c |}{col 14}{res}{space 2}-.0020586{col 26}{space 2} .0179785{col 37}{space 1}   -0.11{col 46}{space 3}0.909{col 54}{space 4}-.0375267{col 67}{space 3} .0334095
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull = .029{p_end}

{txt}       F(  1,   186) ={res}    3.86
{txt}{col 13}Prob > F ={res}    0.0510

{p 0 7}{space 1}{text:( 1)}{space 1} treatfull = -.029{p_end}

{txt}       F(  1,   186) ={res}   18.98
{txt}{col 13}Prob > F ={res}    0.0000
{txt}note: b_patsat_z_d omitted because of collinearity
{res}
{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}     7,288
{txt}{col 49}F({res}   8{txt},{res}    186{txt}){col 67}= {res}     14.25
{txt}{col 49}Prob > F{col 67}= {res}    0.0000
{txt}{col 49}R-squared{col 67}= {res}    0.0394
{txt}{col 49}Adj R-squared{col 67}= {res}    0.0363
{txt}{col 49}Root MSE{col 67}= {res}    0.5869

{txt}{ralign 78:(Std. Err. adjusted for {res:187} clusters in hc_id)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}  e_patsat_z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2} .0766279{col 26}{space 2} .0242478{col 37}{space 1}    3.16{col 46}{space 3}0.002{col 54}{space 4} .0287919{col 67}{space 3}  .124464
{txt}{space 2}b_patsat_z {c |}{col 14}{res}{space 2} .1391849{col 26}{space 2} .0151653{col 37}{space 1}    9.18{col 46}{space 3}0.000{col 54}{space 4} .1092669{col 67}{space 3}  .169103
{txt}b_patsat_z_d {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 1}c_tfull_hc2 {c |}{col 14}{res}{space 2}-.0559382{col 26}{space 2} .0292099{col 37}{space 1}   -1.92{col 46}{space 3}0.057{col 54}{space 4}-.1135635{col 67}{space 3} .0016871
{txt}c_tfull_b_~l {c |}{col 14}{res}{space 2} .0029132{col 26}{space 2}  .038816{col 37}{space 1}    0.08{col 46}{space 3}0.940{col 54}{space 4}-.0736631{col 67}{space 3} .0794894
{txt}c_tfull_b_~s {c |}{col 14}{res}{space 2}  .014223{col 26}{space 2} .0540938{col 37}{space 1}    0.26{col 46}{space 3}0.793{col 54}{space 4}-.0924932{col 67}{space 3} .1209392
{txt}c_tfull_b_~d {c |}{col 14}{res}{space 2}-.0090924{col 26}{space 2} .0266171{col 37}{space 1}   -0.34{col 46}{space 3}0.733{col 54}{space 4}-.0616027{col 67}{space 3} .0434179
{txt}c_tfull_ed~r {c |}{col 14}{res}{space 2} .0031544{col 26}{space 2} .0018384{col 37}{space 1}    1.72{col 46}{space 3}0.088{col 54}{space 4}-.0004724{col 67}{space 3} .0067812
{txt}c_tfull_b_~x {c |}{col 14}{res}{space 2} .0006674{col 26}{space 2} .0074343{col 37}{space 1}    0.09{col 46}{space 3}0.929{col 54}{space 4} -.013999{col 67}{space 3} .0153338
{txt}{space 7}_cons {c |}{col 14}{res}{space 2}-.0020586{col 26}{space 2} .0179785{col 37}{space 1}   -0.11{col 46}{space 3}0.909{col 54}{space 4}-.0375267{col 67}{space 3} .0334095
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull = .03{p_end}

{txt}       F(  1,   186) ={res}    3.70
{txt}{col 13}Prob > F ={res}    0.0560

{p 0 7}{space 1}{text:( 1)}{space 1} treatfull = -.03{p_end}

{txt}       F(  1,   186) ={res}   19.34
{txt}{col 13}Prob > F ={res}    0.0000
{txt}note: b_patsat_z_d omitted because of collinearity
{res}
{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}     7,288
{txt}{col 49}F({res}   8{txt},{res}    186{txt}){col 67}= {res}     14.25
{txt}{col 49}Prob > F{col 67}= {res}    0.0000
{txt}{col 49}R-squared{col 67}= {res}    0.0394
{txt}{col 49}Adj R-squared{col 67}= {res}    0.0363
{txt}{col 49}Root MSE{col 67}= {res}    0.5869

{txt}{ralign 78:(Std. Err. adjusted for {res:187} clusters in hc_id)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}  e_patsat_z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2} .0766279{col 26}{space 2} .0242478{col 37}{space 1}    3.16{col 46}{space 3}0.002{col 54}{space 4} .0287919{col 67}{space 3}  .124464
{txt}{space 2}b_patsat_z {c |}{col 14}{res}{space 2} .1391849{col 26}{space 2} .0151653{col 37}{space 1}    9.18{col 46}{space 3}0.000{col 54}{space 4} .1092669{col 67}{space 3}  .169103
{txt}b_patsat_z_d {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 1}c_tfull_hc2 {c |}{col 14}{res}{space 2}-.0559382{col 26}{space 2} .0292099{col 37}{space 1}   -1.92{col 46}{space 3}0.057{col 54}{space 4}-.1135635{col 67}{space 3} .0016871
{txt}c_tfull_b_~l {c |}{col 14}{res}{space 2} .0029132{col 26}{space 2}  .038816{col 37}{space 1}    0.08{col 46}{space 3}0.940{col 54}{space 4}-.0736631{col 67}{space 3} .0794894
{txt}c_tfull_b_~s {c |}{col 14}{res}{space 2}  .014223{col 26}{space 2} .0540938{col 37}{space 1}    0.26{col 46}{space 3}0.793{col 54}{space 4}-.0924932{col 67}{space 3} .1209392
{txt}c_tfull_b_~d {c |}{col 14}{res}{space 2}-.0090924{col 26}{space 2} .0266171{col 37}{space 1}   -0.34{col 46}{space 3}0.733{col 54}{space 4}-.0616027{col 67}{space 3} .0434179
{txt}c_tfull_ed~r {c |}{col 14}{res}{space 2} .0031544{col 26}{space 2} .0018384{col 37}{space 1}    1.72{col 46}{space 3}0.088{col 54}{space 4}-.0004724{col 67}{space 3} .0067812
{txt}c_tfull_b_~x {c |}{col 14}{res}{space 2} .0006674{col 26}{space 2} .0074343{col 37}{space 1}    0.09{col 46}{space 3}0.929{col 54}{space 4} -.013999{col 67}{space 3} .0153338
{txt}{space 7}_cons {c |}{col 14}{res}{space 2}-.0020586{col 26}{space 2} .0179785{col 37}{space 1}   -0.11{col 46}{space 3}0.909{col 54}{space 4}-.0375267{col 67}{space 3} .0334095
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull = .031{p_end}

{txt}       F(  1,   186) ={res}    3.54
{txt}{col 13}Prob > F ={res}    0.0614

{p 0 7}{space 1}{text:( 1)}{space 1} treatfull = -.031{p_end}

{txt}       F(  1,   186) ={res}   19.70
{txt}{col 13}Prob > F ={res}    0.0000
{txt}note: b_patsat_z_d omitted because of collinearity
{res}
{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}     7,288
{txt}{col 49}F({res}   8{txt},{res}    186{txt}){col 67}= {res}     14.25
{txt}{col 49}Prob > F{col 67}= {res}    0.0000
{txt}{col 49}R-squared{col 67}= {res}    0.0394
{txt}{col 49}Adj R-squared{col 67}= {res}    0.0363
{txt}{col 49}Root MSE{col 67}= {res}    0.5869

{txt}{ralign 78:(Std. Err. adjusted for {res:187} clusters in hc_id)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}  e_patsat_z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2} .0766279{col 26}{space 2} .0242478{col 37}{space 1}    3.16{col 46}{space 3}0.002{col 54}{space 4} .0287919{col 67}{space 3}  .124464
{txt}{space 2}b_patsat_z {c |}{col 14}{res}{space 2} .1391849{col 26}{space 2} .0151653{col 37}{space 1}    9.18{col 46}{space 3}0.000{col 54}{space 4} .1092669{col 67}{space 3}  .169103
{txt}b_patsat_z_d {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 1}c_tfull_hc2 {c |}{col 14}{res}{space 2}-.0559382{col 26}{space 2} .0292099{col 37}{space 1}   -1.92{col 46}{space 3}0.057{col 54}{space 4}-.1135635{col 67}{space 3} .0016871
{txt}c_tfull_b_~l {c |}{col 14}{res}{space 2} .0029132{col 26}{space 2}  .038816{col 37}{space 1}    0.08{col 46}{space 3}0.940{col 54}{space 4}-.0736631{col 67}{space 3} .0794894
{txt}c_tfull_b_~s {c |}{col 14}{res}{space 2}  .014223{col 26}{space 2} .0540938{col 37}{space 1}    0.26{col 46}{space 3}0.793{col 54}{space 4}-.0924932{col 67}{space 3} .1209392
{txt}c_tfull_b_~d {c |}{col 14}{res}{space 2}-.0090924{col 26}{space 2} .0266171{col 37}{space 1}   -0.34{col 46}{space 3}0.733{col 54}{space 4}-.0616027{col 67}{space 3} .0434179
{txt}c_tfull_ed~r {c |}{col 14}{res}{space 2} .0031544{col 26}{space 2} .0018384{col 37}{space 1}    1.72{col 46}{space 3}0.088{col 54}{space 4}-.0004724{col 67}{space 3} .0067812
{txt}c_tfull_b_~x {c |}{col 14}{res}{space 2} .0006674{col 26}{space 2} .0074343{col 37}{space 1}    0.09{col 46}{space 3}0.929{col 54}{space 4} -.013999{col 67}{space 3} .0153338
{txt}{space 7}_cons {c |}{col 14}{res}{space 2}-.0020586{col 26}{space 2} .0179785{col 37}{space 1}   -0.11{col 46}{space 3}0.909{col 54}{space 4}-.0375267{col 67}{space 3} .0334095
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull = .032{p_end}

{txt}       F(  1,   186) ={res}    3.39
{txt}{col 13}Prob > F ={res}    0.0673

{p 0 7}{space 1}{text:( 1)}{space 1} treatfull = -.032{p_end}

{txt}       F(  1,   186) ={res}   20.07
{txt}{col 13}Prob > F ={res}    0.0000
{txt}note: b_patsat_z_d omitted because of collinearity
{res}
{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}     7,288
{txt}{col 49}F({res}   8{txt},{res}    186{txt}){col 67}= {res}     14.25
{txt}{col 49}Prob > F{col 67}= {res}    0.0000
{txt}{col 49}R-squared{col 67}= {res}    0.0394
{txt}{col 49}Adj R-squared{col 67}= {res}    0.0363
{txt}{col 49}Root MSE{col 67}= {res}    0.5869

{txt}{ralign 78:(Std. Err. adjusted for {res:187} clusters in hc_id)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}  e_patsat_z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2} .0766279{col 26}{space 2} .0242478{col 37}{space 1}    3.16{col 46}{space 3}0.002{col 54}{space 4} .0287919{col 67}{space 3}  .124464
{txt}{space 2}b_patsat_z {c |}{col 14}{res}{space 2} .1391849{col 26}{space 2} .0151653{col 37}{space 1}    9.18{col 46}{space 3}0.000{col 54}{space 4} .1092669{col 67}{space 3}  .169103
{txt}b_patsat_z_d {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 1}c_tfull_hc2 {c |}{col 14}{res}{space 2}-.0559382{col 26}{space 2} .0292099{col 37}{space 1}   -1.92{col 46}{space 3}0.057{col 54}{space 4}-.1135635{col 67}{space 3} .0016871
{txt}c_tfull_b_~l {c |}{col 14}{res}{space 2} .0029132{col 26}{space 2}  .038816{col 37}{space 1}    0.08{col 46}{space 3}0.940{col 54}{space 4}-.0736631{col 67}{space 3} .0794894
{txt}c_tfull_b_~s {c |}{col 14}{res}{space 2}  .014223{col 26}{space 2} .0540938{col 37}{space 1}    0.26{col 46}{space 3}0.793{col 54}{space 4}-.0924932{col 67}{space 3} .1209392
{txt}c_tfull_b_~d {c |}{col 14}{res}{space 2}-.0090924{col 26}{space 2} .0266171{col 37}{space 1}   -0.34{col 46}{space 3}0.733{col 54}{space 4}-.0616027{col 67}{space 3} .0434179
{txt}c_tfull_ed~r {c |}{col 14}{res}{space 2} .0031544{col 26}{space 2} .0018384{col 37}{space 1}    1.72{col 46}{space 3}0.088{col 54}{space 4}-.0004724{col 67}{space 3} .0067812
{txt}c_tfull_b_~x {c |}{col 14}{res}{space 2} .0006674{col 26}{space 2} .0074343{col 37}{space 1}    0.09{col 46}{space 3}0.929{col 54}{space 4} -.013999{col 67}{space 3} .0153338
{txt}{space 7}_cons {c |}{col 14}{res}{space 2}-.0020586{col 26}{space 2} .0179785{col 37}{space 1}   -0.11{col 46}{space 3}0.909{col 54}{space 4}-.0375267{col 67}{space 3} .0334095
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull = .033{p_end}

{txt}       F(  1,   186) ={res}    3.24
{txt}{col 13}Prob > F ={res}    0.0736

{p 0 7}{space 1}{text:( 1)}{space 1} treatfull = -.033{p_end}

{txt}       F(  1,   186) ={res}   20.44
{txt}{col 13}Prob > F ={res}    0.0000
{txt}note: b_patsat_z_d omitted because of collinearity
{res}
{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}     7,288
{txt}{col 49}F({res}   8{txt},{res}    186{txt}){col 67}= {res}     14.25
{txt}{col 49}Prob > F{col 67}= {res}    0.0000
{txt}{col 49}R-squared{col 67}= {res}    0.0394
{txt}{col 49}Adj R-squared{col 67}= {res}    0.0363
{txt}{col 49}Root MSE{col 67}= {res}    0.5869

{txt}{ralign 78:(Std. Err. adjusted for {res:187} clusters in hc_id)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}  e_patsat_z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2} .0766279{col 26}{space 2} .0242478{col 37}{space 1}    3.16{col 46}{space 3}0.002{col 54}{space 4} .0287919{col 67}{space 3}  .124464
{txt}{space 2}b_patsat_z {c |}{col 14}{res}{space 2} .1391849{col 26}{space 2} .0151653{col 37}{space 1}    9.18{col 46}{space 3}0.000{col 54}{space 4} .1092669{col 67}{space 3}  .169103
{txt}b_patsat_z_d {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 1}c_tfull_hc2 {c |}{col 14}{res}{space 2}-.0559382{col 26}{space 2} .0292099{col 37}{space 1}   -1.92{col 46}{space 3}0.057{col 54}{space 4}-.1135635{col 67}{space 3} .0016871
{txt}c_tfull_b_~l {c |}{col 14}{res}{space 2} .0029132{col 26}{space 2}  .038816{col 37}{space 1}    0.08{col 46}{space 3}0.940{col 54}{space 4}-.0736631{col 67}{space 3} .0794894
{txt}c_tfull_b_~s {c |}{col 14}{res}{space 2}  .014223{col 26}{space 2} .0540938{col 37}{space 1}    0.26{col 46}{space 3}0.793{col 54}{space 4}-.0924932{col 67}{space 3} .1209392
{txt}c_tfull_b_~d {c |}{col 14}{res}{space 2}-.0090924{col 26}{space 2} .0266171{col 37}{space 1}   -0.34{col 46}{space 3}0.733{col 54}{space 4}-.0616027{col 67}{space 3} .0434179
{txt}c_tfull_ed~r {c |}{col 14}{res}{space 2} .0031544{col 26}{space 2} .0018384{col 37}{space 1}    1.72{col 46}{space 3}0.088{col 54}{space 4}-.0004724{col 67}{space 3} .0067812
{txt}c_tfull_b_~x {c |}{col 14}{res}{space 2} .0006674{col 26}{space 2} .0074343{col 37}{space 1}    0.09{col 46}{space 3}0.929{col 54}{space 4} -.013999{col 67}{space 3} .0153338
{txt}{space 7}_cons {c |}{col 14}{res}{space 2}-.0020586{col 26}{space 2} .0179785{col 37}{space 1}   -0.11{col 46}{space 3}0.909{col 54}{space 4}-.0375267{col 67}{space 3} .0334095
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull = .034{p_end}

{txt}       F(  1,   186) ={res}    3.09
{txt}{col 13}Prob > F ={res}    0.0804

{p 0 7}{space 1}{text:( 1)}{space 1} treatfull = -.034{p_end}

{txt}       F(  1,   186) ={res}   20.82
{txt}{col 13}Prob > F ={res}    0.0000
{txt}note: b_patsat_z_d omitted because of collinearity
{res}
{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}     7,288
{txt}{col 49}F({res}   8{txt},{res}    186{txt}){col 67}= {res}     14.25
{txt}{col 49}Prob > F{col 67}= {res}    0.0000
{txt}{col 49}R-squared{col 67}= {res}    0.0394
{txt}{col 49}Adj R-squared{col 67}= {res}    0.0363
{txt}{col 49}Root MSE{col 67}= {res}    0.5869

{txt}{ralign 78:(Std. Err. adjusted for {res:187} clusters in hc_id)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}  e_patsat_z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2} .0766279{col 26}{space 2} .0242478{col 37}{space 1}    3.16{col 46}{space 3}0.002{col 54}{space 4} .0287919{col 67}{space 3}  .124464
{txt}{space 2}b_patsat_z {c |}{col 14}{res}{space 2} .1391849{col 26}{space 2} .0151653{col 37}{space 1}    9.18{col 46}{space 3}0.000{col 54}{space 4} .1092669{col 67}{space 3}  .169103
{txt}b_patsat_z_d {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 1}c_tfull_hc2 {c |}{col 14}{res}{space 2}-.0559382{col 26}{space 2} .0292099{col 37}{space 1}   -1.92{col 46}{space 3}0.057{col 54}{space 4}-.1135635{col 67}{space 3} .0016871
{txt}c_tfull_b_~l {c |}{col 14}{res}{space 2} .0029132{col 26}{space 2}  .038816{col 37}{space 1}    0.08{col 46}{space 3}0.940{col 54}{space 4}-.0736631{col 67}{space 3} .0794894
{txt}c_tfull_b_~s {c |}{col 14}{res}{space 2}  .014223{col 26}{space 2} .0540938{col 37}{space 1}    0.26{col 46}{space 3}0.793{col 54}{space 4}-.0924932{col 67}{space 3} .1209392
{txt}c_tfull_b_~d {c |}{col 14}{res}{space 2}-.0090924{col 26}{space 2} .0266171{col 37}{space 1}   -0.34{col 46}{space 3}0.733{col 54}{space 4}-.0616027{col 67}{space 3} .0434179
{txt}c_tfull_ed~r {c |}{col 14}{res}{space 2} .0031544{col 26}{space 2} .0018384{col 37}{space 1}    1.72{col 46}{space 3}0.088{col 54}{space 4}-.0004724{col 67}{space 3} .0067812
{txt}c_tfull_b_~x {c |}{col 14}{res}{space 2} .0006674{col 26}{space 2} .0074343{col 37}{space 1}    0.09{col 46}{space 3}0.929{col 54}{space 4} -.013999{col 67}{space 3} .0153338
{txt}{space 7}_cons {c |}{col 14}{res}{space 2}-.0020586{col 26}{space 2} .0179785{col 37}{space 1}   -0.11{col 46}{space 3}0.909{col 54}{space 4}-.0375267{col 67}{space 3} .0334095
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull = .035{p_end}

{txt}       F(  1,   186) ={res}    2.95
{txt}{col 13}Prob > F ={res}    0.0877

{p 0 7}{space 1}{text:( 1)}{space 1} treatfull = -.035{p_end}

{txt}       F(  1,   186) ={res}   21.19
{txt}{col 13}Prob > F ={res}    0.0000
{txt}note: b_patsat_z_d omitted because of collinearity
{res}
{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}     7,288
{txt}{col 49}F({res}   8{txt},{res}    186{txt}){col 67}= {res}     14.25
{txt}{col 49}Prob > F{col 67}= {res}    0.0000
{txt}{col 49}R-squared{col 67}= {res}    0.0394
{txt}{col 49}Adj R-squared{col 67}= {res}    0.0363
{txt}{col 49}Root MSE{col 67}= {res}    0.5869

{txt}{ralign 78:(Std. Err. adjusted for {res:187} clusters in hc_id)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}  e_patsat_z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2} .0766279{col 26}{space 2} .0242478{col 37}{space 1}    3.16{col 46}{space 3}0.002{col 54}{space 4} .0287919{col 67}{space 3}  .124464
{txt}{space 2}b_patsat_z {c |}{col 14}{res}{space 2} .1391849{col 26}{space 2} .0151653{col 37}{space 1}    9.18{col 46}{space 3}0.000{col 54}{space 4} .1092669{col 67}{space 3}  .169103
{txt}b_patsat_z_d {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 1}c_tfull_hc2 {c |}{col 14}{res}{space 2}-.0559382{col 26}{space 2} .0292099{col 37}{space 1}   -1.92{col 46}{space 3}0.057{col 54}{space 4}-.1135635{col 67}{space 3} .0016871
{txt}c_tfull_b_~l {c |}{col 14}{res}{space 2} .0029132{col 26}{space 2}  .038816{col 37}{space 1}    0.08{col 46}{space 3}0.940{col 54}{space 4}-.0736631{col 67}{space 3} .0794894
{txt}c_tfull_b_~s {c |}{col 14}{res}{space 2}  .014223{col 26}{space 2} .0540938{col 37}{space 1}    0.26{col 46}{space 3}0.793{col 54}{space 4}-.0924932{col 67}{space 3} .1209392
{txt}c_tfull_b_~d {c |}{col 14}{res}{space 2}-.0090924{col 26}{space 2} .0266171{col 37}{space 1}   -0.34{col 46}{space 3}0.733{col 54}{space 4}-.0616027{col 67}{space 3} .0434179
{txt}c_tfull_ed~r {c |}{col 14}{res}{space 2} .0031544{col 26}{space 2} .0018384{col 37}{space 1}    1.72{col 46}{space 3}0.088{col 54}{space 4}-.0004724{col 67}{space 3} .0067812
{txt}c_tfull_b_~x {c |}{col 14}{res}{space 2} .0006674{col 26}{space 2} .0074343{col 37}{space 1}    0.09{col 46}{space 3}0.929{col 54}{space 4} -.013999{col 67}{space 3} .0153338
{txt}{space 7}_cons {c |}{col 14}{res}{space 2}-.0020586{col 26}{space 2} .0179785{col 37}{space 1}   -0.11{col 46}{space 3}0.909{col 54}{space 4}-.0375267{col 67}{space 3} .0334095
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull = .036{p_end}

{txt}       F(  1,   186) ={res}    2.81
{txt}{col 13}Prob > F ={res}    0.0955

{p 0 7}{space 1}{text:( 1)}{space 1} treatfull = -.036{p_end}

{txt}       F(  1,   186) ={res}   21.57
{txt}{col 13}Prob > F ={res}    0.0000
{txt}note: b_patsat_z_d omitted because of collinearity
{res}
{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}     7,288
{txt}{col 49}F({res}   8{txt},{res}    186{txt}){col 67}= {res}     14.25
{txt}{col 49}Prob > F{col 67}= {res}    0.0000
{txt}{col 49}R-squared{col 67}= {res}    0.0394
{txt}{col 49}Adj R-squared{col 67}= {res}    0.0363
{txt}{col 49}Root MSE{col 67}= {res}    0.5869

{txt}{ralign 78:(Std. Err. adjusted for {res:187} clusters in hc_id)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}  e_patsat_z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2} .0766279{col 26}{space 2} .0242478{col 37}{space 1}    3.16{col 46}{space 3}0.002{col 54}{space 4} .0287919{col 67}{space 3}  .124464
{txt}{space 2}b_patsat_z {c |}{col 14}{res}{space 2} .1391849{col 26}{space 2} .0151653{col 37}{space 1}    9.18{col 46}{space 3}0.000{col 54}{space 4} .1092669{col 67}{space 3}  .169103
{txt}b_patsat_z_d {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 1}c_tfull_hc2 {c |}{col 14}{res}{space 2}-.0559382{col 26}{space 2} .0292099{col 37}{space 1}   -1.92{col 46}{space 3}0.057{col 54}{space 4}-.1135635{col 67}{space 3} .0016871
{txt}c_tfull_b_~l {c |}{col 14}{res}{space 2} .0029132{col 26}{space 2}  .038816{col 37}{space 1}    0.08{col 46}{space 3}0.940{col 54}{space 4}-.0736631{col 67}{space 3} .0794894
{txt}c_tfull_b_~s {c |}{col 14}{res}{space 2}  .014223{col 26}{space 2} .0540938{col 37}{space 1}    0.26{col 46}{space 3}0.793{col 54}{space 4}-.0924932{col 67}{space 3} .1209392
{txt}c_tfull_b_~d {c |}{col 14}{res}{space 2}-.0090924{col 26}{space 2} .0266171{col 37}{space 1}   -0.34{col 46}{space 3}0.733{col 54}{space 4}-.0616027{col 67}{space 3} .0434179
{txt}c_tfull_ed~r {c |}{col 14}{res}{space 2} .0031544{col 26}{space 2} .0018384{col 37}{space 1}    1.72{col 46}{space 3}0.088{col 54}{space 4}-.0004724{col 67}{space 3} .0067812
{txt}c_tfull_b_~x {c |}{col 14}{res}{space 2} .0006674{col 26}{space 2} .0074343{col 37}{space 1}    0.09{col 46}{space 3}0.929{col 54}{space 4} -.013999{col 67}{space 3} .0153338
{txt}{space 7}_cons {c |}{col 14}{res}{space 2}-.0020586{col 26}{space 2} .0179785{col 37}{space 1}   -0.11{col 46}{space 3}0.909{col 54}{space 4}-.0375267{col 67}{space 3} .0334095
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull = .037{p_end}

{txt}       F(  1,   186) ={res}    2.67
{txt}{col 13}Prob > F ={res}    0.1039

{p 0 7}{space 1}{text:( 1)}{space 1} treatfull = -.037{p_end}

{txt}       F(  1,   186) ={res}   21.96
{txt}{col 13}Prob > F ={res}    0.0000
{txt}note: b_patsat_z_d omitted because of collinearity
{res}
{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}     7,288
{txt}{col 49}F({res}   8{txt},{res}    186{txt}){col 67}= {res}     14.25
{txt}{col 49}Prob > F{col 67}= {res}    0.0000
{txt}{col 49}R-squared{col 67}= {res}    0.0394
{txt}{col 49}Adj R-squared{col 67}= {res}    0.0363
{txt}{col 49}Root MSE{col 67}= {res}    0.5869

{txt}{ralign 78:(Std. Err. adjusted for {res:187} clusters in hc_id)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}  e_patsat_z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2} .0766279{col 26}{space 2} .0242478{col 37}{space 1}    3.16{col 46}{space 3}0.002{col 54}{space 4} .0287919{col 67}{space 3}  .124464
{txt}{space 2}b_patsat_z {c |}{col 14}{res}{space 2} .1391849{col 26}{space 2} .0151653{col 37}{space 1}    9.18{col 46}{space 3}0.000{col 54}{space 4} .1092669{col 67}{space 3}  .169103
{txt}b_patsat_z_d {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 1}c_tfull_hc2 {c |}{col 14}{res}{space 2}-.0559382{col 26}{space 2} .0292099{col 37}{space 1}   -1.92{col 46}{space 3}0.057{col 54}{space 4}-.1135635{col 67}{space 3} .0016871
{txt}c_tfull_b_~l {c |}{col 14}{res}{space 2} .0029132{col 26}{space 2}  .038816{col 37}{space 1}    0.08{col 46}{space 3}0.940{col 54}{space 4}-.0736631{col 67}{space 3} .0794894
{txt}c_tfull_b_~s {c |}{col 14}{res}{space 2}  .014223{col 26}{space 2} .0540938{col 37}{space 1}    0.26{col 46}{space 3}0.793{col 54}{space 4}-.0924932{col 67}{space 3} .1209392
{txt}c_tfull_b_~d {c |}{col 14}{res}{space 2}-.0090924{col 26}{space 2} .0266171{col 37}{space 1}   -0.34{col 46}{space 3}0.733{col 54}{space 4}-.0616027{col 67}{space 3} .0434179
{txt}c_tfull_ed~r {c |}{col 14}{res}{space 2} .0031544{col 26}{space 2} .0018384{col 37}{space 1}    1.72{col 46}{space 3}0.088{col 54}{space 4}-.0004724{col 67}{space 3} .0067812
{txt}c_tfull_b_~x {c |}{col 14}{res}{space 2} .0006674{col 26}{space 2} .0074343{col 37}{space 1}    0.09{col 46}{space 3}0.929{col 54}{space 4} -.013999{col 67}{space 3} .0153338
{txt}{space 7}_cons {c |}{col 14}{res}{space 2}-.0020586{col 26}{space 2} .0179785{col 37}{space 1}   -0.11{col 46}{space 3}0.909{col 54}{space 4}-.0375267{col 67}{space 3} .0334095
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull = .038{p_end}

{txt}       F(  1,   186) ={res}    2.54
{txt}{col 13}Prob > F ={res}    0.1128

{p 0 7}{space 1}{text:( 1)}{space 1} treatfull = -.038{p_end}

{txt}       F(  1,   186) ={res}   22.35
{txt}{col 13}Prob > F ={res}    0.0000
{txt}note: b_patsat_z_d omitted because of collinearity
{res}
{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}     7,288
{txt}{col 49}F({res}   8{txt},{res}    186{txt}){col 67}= {res}     14.25
{txt}{col 49}Prob > F{col 67}= {res}    0.0000
{txt}{col 49}R-squared{col 67}= {res}    0.0394
{txt}{col 49}Adj R-squared{col 67}= {res}    0.0363
{txt}{col 49}Root MSE{col 67}= {res}    0.5869

{txt}{ralign 78:(Std. Err. adjusted for {res:187} clusters in hc_id)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}  e_patsat_z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2} .0766279{col 26}{space 2} .0242478{col 37}{space 1}    3.16{col 46}{space 3}0.002{col 54}{space 4} .0287919{col 67}{space 3}  .124464
{txt}{space 2}b_patsat_z {c |}{col 14}{res}{space 2} .1391849{col 26}{space 2} .0151653{col 37}{space 1}    9.18{col 46}{space 3}0.000{col 54}{space 4} .1092669{col 67}{space 3}  .169103
{txt}b_patsat_z_d {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 1}c_tfull_hc2 {c |}{col 14}{res}{space 2}-.0559382{col 26}{space 2} .0292099{col 37}{space 1}   -1.92{col 46}{space 3}0.057{col 54}{space 4}-.1135635{col 67}{space 3} .0016871
{txt}c_tfull_b_~l {c |}{col 14}{res}{space 2} .0029132{col 26}{space 2}  .038816{col 37}{space 1}    0.08{col 46}{space 3}0.940{col 54}{space 4}-.0736631{col 67}{space 3} .0794894
{txt}c_tfull_b_~s {c |}{col 14}{res}{space 2}  .014223{col 26}{space 2} .0540938{col 37}{space 1}    0.26{col 46}{space 3}0.793{col 54}{space 4}-.0924932{col 67}{space 3} .1209392
{txt}c_tfull_b_~d {c |}{col 14}{res}{space 2}-.0090924{col 26}{space 2} .0266171{col 37}{space 1}   -0.34{col 46}{space 3}0.733{col 54}{space 4}-.0616027{col 67}{space 3} .0434179
{txt}c_tfull_ed~r {c |}{col 14}{res}{space 2} .0031544{col 26}{space 2} .0018384{col 37}{space 1}    1.72{col 46}{space 3}0.088{col 54}{space 4}-.0004724{col 67}{space 3} .0067812
{txt}c_tfull_b_~x {c |}{col 14}{res}{space 2} .0006674{col 26}{space 2} .0074343{col 37}{space 1}    0.09{col 46}{space 3}0.929{col 54}{space 4} -.013999{col 67}{space 3} .0153338
{txt}{space 7}_cons {c |}{col 14}{res}{space 2}-.0020586{col 26}{space 2} .0179785{col 37}{space 1}   -0.11{col 46}{space 3}0.909{col 54}{space 4}-.0375267{col 67}{space 3} .0334095
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull = .039{p_end}

{txt}       F(  1,   186) ={res}    2.41
{txt}{col 13}Prob > F ={res}    0.1224

{p 0 7}{space 1}{text:( 1)}{space 1} treatfull = -.039{p_end}

{txt}       F(  1,   186) ={res}   22.74
{txt}{col 13}Prob > F ={res}    0.0000
{txt}note: b_patsat_z_d omitted because of collinearity
{res}
{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}     7,288
{txt}{col 49}F({res}   8{txt},{res}    186{txt}){col 67}= {res}     14.25
{txt}{col 49}Prob > F{col 67}= {res}    0.0000
{txt}{col 49}R-squared{col 67}= {res}    0.0394
{txt}{col 49}Adj R-squared{col 67}= {res}    0.0363
{txt}{col 49}Root MSE{col 67}= {res}    0.5869

{txt}{ralign 78:(Std. Err. adjusted for {res:187} clusters in hc_id)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}  e_patsat_z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2} .0766279{col 26}{space 2} .0242478{col 37}{space 1}    3.16{col 46}{space 3}0.002{col 54}{space 4} .0287919{col 67}{space 3}  .124464
{txt}{space 2}b_patsat_z {c |}{col 14}{res}{space 2} .1391849{col 26}{space 2} .0151653{col 37}{space 1}    9.18{col 46}{space 3}0.000{col 54}{space 4} .1092669{col 67}{space 3}  .169103
{txt}b_patsat_z_d {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 1}c_tfull_hc2 {c |}{col 14}{res}{space 2}-.0559382{col 26}{space 2} .0292099{col 37}{space 1}   -1.92{col 46}{space 3}0.057{col 54}{space 4}-.1135635{col 67}{space 3} .0016871
{txt}c_tfull_b_~l {c |}{col 14}{res}{space 2} .0029132{col 26}{space 2}  .038816{col 37}{space 1}    0.08{col 46}{space 3}0.940{col 54}{space 4}-.0736631{col 67}{space 3} .0794894
{txt}c_tfull_b_~s {c |}{col 14}{res}{space 2}  .014223{col 26}{space 2} .0540938{col 37}{space 1}    0.26{col 46}{space 3}0.793{col 54}{space 4}-.0924932{col 67}{space 3} .1209392
{txt}c_tfull_b_~d {c |}{col 14}{res}{space 2}-.0090924{col 26}{space 2} .0266171{col 37}{space 1}   -0.34{col 46}{space 3}0.733{col 54}{space 4}-.0616027{col 67}{space 3} .0434179
{txt}c_tfull_ed~r {c |}{col 14}{res}{space 2} .0031544{col 26}{space 2} .0018384{col 37}{space 1}    1.72{col 46}{space 3}0.088{col 54}{space 4}-.0004724{col 67}{space 3} .0067812
{txt}c_tfull_b_~x {c |}{col 14}{res}{space 2} .0006674{col 26}{space 2} .0074343{col 37}{space 1}    0.09{col 46}{space 3}0.929{col 54}{space 4} -.013999{col 67}{space 3} .0153338
{txt}{space 7}_cons {c |}{col 14}{res}{space 2}-.0020586{col 26}{space 2} .0179785{col 37}{space 1}   -0.11{col 46}{space 3}0.909{col 54}{space 4}-.0375267{col 67}{space 3} .0334095
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull = .04{p_end}

{txt}       F(  1,   186) ={res}    2.28
{txt}{col 13}Prob > F ={res}    0.1326

{p 0 7}{space 1}{text:( 1)}{space 1} treatfull = -.04{p_end}

{txt}       F(  1,   186) ={res}   23.13
{txt}{col 13}Prob > F ={res}    0.0000
{txt}note: b_patsat_z_d omitted because of collinearity
{res}
{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}     7,288
{txt}{col 49}F({res}   8{txt},{res}    186{txt}){col 67}= {res}     14.25
{txt}{col 49}Prob > F{col 67}= {res}    0.0000
{txt}{col 49}R-squared{col 67}= {res}    0.0394
{txt}{col 49}Adj R-squared{col 67}= {res}    0.0363
{txt}{col 49}Root MSE{col 67}= {res}    0.5869

{txt}{ralign 78:(Std. Err. adjusted for {res:187} clusters in hc_id)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}  e_patsat_z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2} .0766279{col 26}{space 2} .0242478{col 37}{space 1}    3.16{col 46}{space 3}0.002{col 54}{space 4} .0287919{col 67}{space 3}  .124464
{txt}{space 2}b_patsat_z {c |}{col 14}{res}{space 2} .1391849{col 26}{space 2} .0151653{col 37}{space 1}    9.18{col 46}{space 3}0.000{col 54}{space 4} .1092669{col 67}{space 3}  .169103
{txt}b_patsat_z_d {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 1}c_tfull_hc2 {c |}{col 14}{res}{space 2}-.0559382{col 26}{space 2} .0292099{col 37}{space 1}   -1.92{col 46}{space 3}0.057{col 54}{space 4}-.1135635{col 67}{space 3} .0016871
{txt}c_tfull_b_~l {c |}{col 14}{res}{space 2} .0029132{col 26}{space 2}  .038816{col 37}{space 1}    0.08{col 46}{space 3}0.940{col 54}{space 4}-.0736631{col 67}{space 3} .0794894
{txt}c_tfull_b_~s {c |}{col 14}{res}{space 2}  .014223{col 26}{space 2} .0540938{col 37}{space 1}    0.26{col 46}{space 3}0.793{col 54}{space 4}-.0924932{col 67}{space 3} .1209392
{txt}c_tfull_b_~d {c |}{col 14}{res}{space 2}-.0090924{col 26}{space 2} .0266171{col 37}{space 1}   -0.34{col 46}{space 3}0.733{col 54}{space 4}-.0616027{col 67}{space 3} .0434179
{txt}c_tfull_ed~r {c |}{col 14}{res}{space 2} .0031544{col 26}{space 2} .0018384{col 37}{space 1}    1.72{col 46}{space 3}0.088{col 54}{space 4}-.0004724{col 67}{space 3} .0067812
{txt}c_tfull_b_~x {c |}{col 14}{res}{space 2} .0006674{col 26}{space 2} .0074343{col 37}{space 1}    0.09{col 46}{space 3}0.929{col 54}{space 4} -.013999{col 67}{space 3} .0153338
{txt}{space 7}_cons {c |}{col 14}{res}{space 2}-.0020586{col 26}{space 2} .0179785{col 37}{space 1}   -0.11{col 46}{space 3}0.909{col 54}{space 4}-.0375267{col 67}{space 3} .0334095
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull = .041{p_end}

{txt}       F(  1,   186) ={res}    2.16
{txt}{col 13}Prob > F ={res}    0.1434

{p 0 7}{space 1}{text:( 1)}{space 1} treatfull = -.041{p_end}

{txt}       F(  1,   186) ={res}   23.53
{txt}{col 13}Prob > F ={res}    0.0000
{txt}note: b_patsat_z_d omitted because of collinearity
{res}
{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}     7,288
{txt}{col 49}F({res}   8{txt},{res}    186{txt}){col 67}= {res}     14.25
{txt}{col 49}Prob > F{col 67}= {res}    0.0000
{txt}{col 49}R-squared{col 67}= {res}    0.0394
{txt}{col 49}Adj R-squared{col 67}= {res}    0.0363
{txt}{col 49}Root MSE{col 67}= {res}    0.5869

{txt}{ralign 78:(Std. Err. adjusted for {res:187} clusters in hc_id)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}  e_patsat_z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2} .0766279{col 26}{space 2} .0242478{col 37}{space 1}    3.16{col 46}{space 3}0.002{col 54}{space 4} .0287919{col 67}{space 3}  .124464
{txt}{space 2}b_patsat_z {c |}{col 14}{res}{space 2} .1391849{col 26}{space 2} .0151653{col 37}{space 1}    9.18{col 46}{space 3}0.000{col 54}{space 4} .1092669{col 67}{space 3}  .169103
{txt}b_patsat_z_d {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 1}c_tfull_hc2 {c |}{col 14}{res}{space 2}-.0559382{col 26}{space 2} .0292099{col 37}{space 1}   -1.92{col 46}{space 3}0.057{col 54}{space 4}-.1135635{col 67}{space 3} .0016871
{txt}c_tfull_b_~l {c |}{col 14}{res}{space 2} .0029132{col 26}{space 2}  .038816{col 37}{space 1}    0.08{col 46}{space 3}0.940{col 54}{space 4}-.0736631{col 67}{space 3} .0794894
{txt}c_tfull_b_~s {c |}{col 14}{res}{space 2}  .014223{col 26}{space 2} .0540938{col 37}{space 1}    0.26{col 46}{space 3}0.793{col 54}{space 4}-.0924932{col 67}{space 3} .1209392
{txt}c_tfull_b_~d {c |}{col 14}{res}{space 2}-.0090924{col 26}{space 2} .0266171{col 37}{space 1}   -0.34{col 46}{space 3}0.733{col 54}{space 4}-.0616027{col 67}{space 3} .0434179
{txt}c_tfull_ed~r {c |}{col 14}{res}{space 2} .0031544{col 26}{space 2} .0018384{col 37}{space 1}    1.72{col 46}{space 3}0.088{col 54}{space 4}-.0004724{col 67}{space 3} .0067812
{txt}c_tfull_b_~x {c |}{col 14}{res}{space 2} .0006674{col 26}{space 2} .0074343{col 37}{space 1}    0.09{col 46}{space 3}0.929{col 54}{space 4} -.013999{col 67}{space 3} .0153338
{txt}{space 7}_cons {c |}{col 14}{res}{space 2}-.0020586{col 26}{space 2} .0179785{col 37}{space 1}   -0.11{col 46}{space 3}0.909{col 54}{space 4}-.0375267{col 67}{space 3} .0334095
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull = .042{p_end}

{txt}       F(  1,   186) ={res}    2.04
{txt}{col 13}Prob > F ={res}    0.1549

{p 0 7}{space 1}{text:( 1)}{space 1} treatfull = -.042{p_end}

{txt}       F(  1,   186) ={res}   23.93
{txt}{col 13}Prob > F ={res}    0.0000
{txt}note: b_patsat_z_d omitted because of collinearity
{res}
{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}     7,288
{txt}{col 49}F({res}   8{txt},{res}    186{txt}){col 67}= {res}     14.25
{txt}{col 49}Prob > F{col 67}= {res}    0.0000
{txt}{col 49}R-squared{col 67}= {res}    0.0394
{txt}{col 49}Adj R-squared{col 67}= {res}    0.0363
{txt}{col 49}Root MSE{col 67}= {res}    0.5869

{txt}{ralign 78:(Std. Err. adjusted for {res:187} clusters in hc_id)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}  e_patsat_z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2} .0766279{col 26}{space 2} .0242478{col 37}{space 1}    3.16{col 46}{space 3}0.002{col 54}{space 4} .0287919{col 67}{space 3}  .124464
{txt}{space 2}b_patsat_z {c |}{col 14}{res}{space 2} .1391849{col 26}{space 2} .0151653{col 37}{space 1}    9.18{col 46}{space 3}0.000{col 54}{space 4} .1092669{col 67}{space 3}  .169103
{txt}b_patsat_z_d {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 1}c_tfull_hc2 {c |}{col 14}{res}{space 2}-.0559382{col 26}{space 2} .0292099{col 37}{space 1}   -1.92{col 46}{space 3}0.057{col 54}{space 4}-.1135635{col 67}{space 3} .0016871
{txt}c_tfull_b_~l {c |}{col 14}{res}{space 2} .0029132{col 26}{space 2}  .038816{col 37}{space 1}    0.08{col 46}{space 3}0.940{col 54}{space 4}-.0736631{col 67}{space 3} .0794894
{txt}c_tfull_b_~s {c |}{col 14}{res}{space 2}  .014223{col 26}{space 2} .0540938{col 37}{space 1}    0.26{col 46}{space 3}0.793{col 54}{space 4}-.0924932{col 67}{space 3} .1209392
{txt}c_tfull_b_~d {c |}{col 14}{res}{space 2}-.0090924{col 26}{space 2} .0266171{col 37}{space 1}   -0.34{col 46}{space 3}0.733{col 54}{space 4}-.0616027{col 67}{space 3} .0434179
{txt}c_tfull_ed~r {c |}{col 14}{res}{space 2} .0031544{col 26}{space 2} .0018384{col 37}{space 1}    1.72{col 46}{space 3}0.088{col 54}{space 4}-.0004724{col 67}{space 3} .0067812
{txt}c_tfull_b_~x {c |}{col 14}{res}{space 2} .0006674{col 26}{space 2} .0074343{col 37}{space 1}    0.09{col 46}{space 3}0.929{col 54}{space 4} -.013999{col 67}{space 3} .0153338
{txt}{space 7}_cons {c |}{col 14}{res}{space 2}-.0020586{col 26}{space 2} .0179785{col 37}{space 1}   -0.11{col 46}{space 3}0.909{col 54}{space 4}-.0375267{col 67}{space 3} .0334095
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull = .043{p_end}

{txt}       F(  1,   186) ={res}    1.92
{txt}{col 13}Prob > F ={res}    0.1671

{p 0 7}{space 1}{text:( 1)}{space 1} treatfull = -.043{p_end}

{txt}       F(  1,   186) ={res}   24.34
{txt}{col 13}Prob > F ={res}    0.0000
{txt}note: b_patsat_z_d omitted because of collinearity
{res}
{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}     7,288
{txt}{col 49}F({res}   8{txt},{res}    186{txt}){col 67}= {res}     14.25
{txt}{col 49}Prob > F{col 67}= {res}    0.0000
{txt}{col 49}R-squared{col 67}= {res}    0.0394
{txt}{col 49}Adj R-squared{col 67}= {res}    0.0363
{txt}{col 49}Root MSE{col 67}= {res}    0.5869

{txt}{ralign 78:(Std. Err. adjusted for {res:187} clusters in hc_id)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}  e_patsat_z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2} .0766279{col 26}{space 2} .0242478{col 37}{space 1}    3.16{col 46}{space 3}0.002{col 54}{space 4} .0287919{col 67}{space 3}  .124464
{txt}{space 2}b_patsat_z {c |}{col 14}{res}{space 2} .1391849{col 26}{space 2} .0151653{col 37}{space 1}    9.18{col 46}{space 3}0.000{col 54}{space 4} .1092669{col 67}{space 3}  .169103
{txt}b_patsat_z_d {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 1}c_tfull_hc2 {c |}{col 14}{res}{space 2}-.0559382{col 26}{space 2} .0292099{col 37}{space 1}   -1.92{col 46}{space 3}0.057{col 54}{space 4}-.1135635{col 67}{space 3} .0016871
{txt}c_tfull_b_~l {c |}{col 14}{res}{space 2} .0029132{col 26}{space 2}  .038816{col 37}{space 1}    0.08{col 46}{space 3}0.940{col 54}{space 4}-.0736631{col 67}{space 3} .0794894
{txt}c_tfull_b_~s {c |}{col 14}{res}{space 2}  .014223{col 26}{space 2} .0540938{col 37}{space 1}    0.26{col 46}{space 3}0.793{col 54}{space 4}-.0924932{col 67}{space 3} .1209392
{txt}c_tfull_b_~d {c |}{col 14}{res}{space 2}-.0090924{col 26}{space 2} .0266171{col 37}{space 1}   -0.34{col 46}{space 3}0.733{col 54}{space 4}-.0616027{col 67}{space 3} .0434179
{txt}c_tfull_ed~r {c |}{col 14}{res}{space 2} .0031544{col 26}{space 2} .0018384{col 37}{space 1}    1.72{col 46}{space 3}0.088{col 54}{space 4}-.0004724{col 67}{space 3} .0067812
{txt}c_tfull_b_~x {c |}{col 14}{res}{space 2} .0006674{col 26}{space 2} .0074343{col 37}{space 1}    0.09{col 46}{space 3}0.929{col 54}{space 4} -.013999{col 67}{space 3} .0153338
{txt}{space 7}_cons {c |}{col 14}{res}{space 2}-.0020586{col 26}{space 2} .0179785{col 37}{space 1}   -0.11{col 46}{space 3}0.909{col 54}{space 4}-.0375267{col 67}{space 3} .0334095
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull = .044{p_end}

{txt}       F(  1,   186) ={res}    1.81
{txt}{col 13}Prob > F ={res}    0.1801

{p 0 7}{space 1}{text:( 1)}{space 1} treatfull = -.044{p_end}

{txt}       F(  1,   186) ={res}   24.75
{txt}{col 13}Prob > F ={res}    0.0000
{txt}note: b_patsat_z_d omitted because of collinearity
{res}
{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}     7,288
{txt}{col 49}F({res}   8{txt},{res}    186{txt}){col 67}= {res}     14.25
{txt}{col 49}Prob > F{col 67}= {res}    0.0000
{txt}{col 49}R-squared{col 67}= {res}    0.0394
{txt}{col 49}Adj R-squared{col 67}= {res}    0.0363
{txt}{col 49}Root MSE{col 67}= {res}    0.5869

{txt}{ralign 78:(Std. Err. adjusted for {res:187} clusters in hc_id)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}  e_patsat_z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2} .0766279{col 26}{space 2} .0242478{col 37}{space 1}    3.16{col 46}{space 3}0.002{col 54}{space 4} .0287919{col 67}{space 3}  .124464
{txt}{space 2}b_patsat_z {c |}{col 14}{res}{space 2} .1391849{col 26}{space 2} .0151653{col 37}{space 1}    9.18{col 46}{space 3}0.000{col 54}{space 4} .1092669{col 67}{space 3}  .169103
{txt}b_patsat_z_d {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 1}c_tfull_hc2 {c |}{col 14}{res}{space 2}-.0559382{col 26}{space 2} .0292099{col 37}{space 1}   -1.92{col 46}{space 3}0.057{col 54}{space 4}-.1135635{col 67}{space 3} .0016871
{txt}c_tfull_b_~l {c |}{col 14}{res}{space 2} .0029132{col 26}{space 2}  .038816{col 37}{space 1}    0.08{col 46}{space 3}0.940{col 54}{space 4}-.0736631{col 67}{space 3} .0794894
{txt}c_tfull_b_~s {c |}{col 14}{res}{space 2}  .014223{col 26}{space 2} .0540938{col 37}{space 1}    0.26{col 46}{space 3}0.793{col 54}{space 4}-.0924932{col 67}{space 3} .1209392
{txt}c_tfull_b_~d {c |}{col 14}{res}{space 2}-.0090924{col 26}{space 2} .0266171{col 37}{space 1}   -0.34{col 46}{space 3}0.733{col 54}{space 4}-.0616027{col 67}{space 3} .0434179
{txt}c_tfull_ed~r {c |}{col 14}{res}{space 2} .0031544{col 26}{space 2} .0018384{col 37}{space 1}    1.72{col 46}{space 3}0.088{col 54}{space 4}-.0004724{col 67}{space 3} .0067812
{txt}c_tfull_b_~x {c |}{col 14}{res}{space 2} .0006674{col 26}{space 2} .0074343{col 37}{space 1}    0.09{col 46}{space 3}0.929{col 54}{space 4} -.013999{col 67}{space 3} .0153338
{txt}{space 7}_cons {c |}{col 14}{res}{space 2}-.0020586{col 26}{space 2} .0179785{col 37}{space 1}   -0.11{col 46}{space 3}0.909{col 54}{space 4}-.0375267{col 67}{space 3} .0334095
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull = .045{p_end}

{txt}       F(  1,   186) ={res}    1.70
{txt}{col 13}Prob > F ={res}    0.1937

{p 0 7}{space 1}{text:( 1)}{space 1} treatfull = -.045{p_end}

{txt}       F(  1,   186) ={res}   25.16
{txt}{col 13}Prob > F ={res}    0.0000
{txt}note: b_patsat_z_d omitted because of collinearity
{res}
{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}     7,288
{txt}{col 49}F({res}   8{txt},{res}    186{txt}){col 67}= {res}     14.25
{txt}{col 49}Prob > F{col 67}= {res}    0.0000
{txt}{col 49}R-squared{col 67}= {res}    0.0394
{txt}{col 49}Adj R-squared{col 67}= {res}    0.0363
{txt}{col 49}Root MSE{col 67}= {res}    0.5869

{txt}{ralign 78:(Std. Err. adjusted for {res:187} clusters in hc_id)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}  e_patsat_z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2} .0766279{col 26}{space 2} .0242478{col 37}{space 1}    3.16{col 46}{space 3}0.002{col 54}{space 4} .0287919{col 67}{space 3}  .124464
{txt}{space 2}b_patsat_z {c |}{col 14}{res}{space 2} .1391849{col 26}{space 2} .0151653{col 37}{space 1}    9.18{col 46}{space 3}0.000{col 54}{space 4} .1092669{col 67}{space 3}  .169103
{txt}b_patsat_z_d {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 1}c_tfull_hc2 {c |}{col 14}{res}{space 2}-.0559382{col 26}{space 2} .0292099{col 37}{space 1}   -1.92{col 46}{space 3}0.057{col 54}{space 4}-.1135635{col 67}{space 3} .0016871
{txt}c_tfull_b_~l {c |}{col 14}{res}{space 2} .0029132{col 26}{space 2}  .038816{col 37}{space 1}    0.08{col 46}{space 3}0.940{col 54}{space 4}-.0736631{col 67}{space 3} .0794894
{txt}c_tfull_b_~s {c |}{col 14}{res}{space 2}  .014223{col 26}{space 2} .0540938{col 37}{space 1}    0.26{col 46}{space 3}0.793{col 54}{space 4}-.0924932{col 67}{space 3} .1209392
{txt}c_tfull_b_~d {c |}{col 14}{res}{space 2}-.0090924{col 26}{space 2} .0266171{col 37}{space 1}   -0.34{col 46}{space 3}0.733{col 54}{space 4}-.0616027{col 67}{space 3} .0434179
{txt}c_tfull_ed~r {c |}{col 14}{res}{space 2} .0031544{col 26}{space 2} .0018384{col 37}{space 1}    1.72{col 46}{space 3}0.088{col 54}{space 4}-.0004724{col 67}{space 3} .0067812
{txt}c_tfull_b_~x {c |}{col 14}{res}{space 2} .0006674{col 26}{space 2} .0074343{col 37}{space 1}    0.09{col 46}{space 3}0.929{col 54}{space 4} -.013999{col 67}{space 3} .0153338
{txt}{space 7}_cons {c |}{col 14}{res}{space 2}-.0020586{col 26}{space 2} .0179785{col 37}{space 1}   -0.11{col 46}{space 3}0.909{col 54}{space 4}-.0375267{col 67}{space 3} .0334095
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull = .046{p_end}

{txt}       F(  1,   186) ={res}    1.60
{txt}{col 13}Prob > F ={res}    0.2081

{p 0 7}{space 1}{text:( 1)}{space 1} treatfull = -.046{p_end}

{txt}       F(  1,   186) ={res}   25.58
{txt}{col 13}Prob > F ={res}    0.0000
{txt}note: b_patsat_z_d omitted because of collinearity
{res}
{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}     7,288
{txt}{col 49}F({res}   8{txt},{res}    186{txt}){col 67}= {res}     14.25
{txt}{col 49}Prob > F{col 67}= {res}    0.0000
{txt}{col 49}R-squared{col 67}= {res}    0.0394
{txt}{col 49}Adj R-squared{col 67}= {res}    0.0363
{txt}{col 49}Root MSE{col 67}= {res}    0.5869

{txt}{ralign 78:(Std. Err. adjusted for {res:187} clusters in hc_id)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}  e_patsat_z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2} .0766279{col 26}{space 2} .0242478{col 37}{space 1}    3.16{col 46}{space 3}0.002{col 54}{space 4} .0287919{col 67}{space 3}  .124464
{txt}{space 2}b_patsat_z {c |}{col 14}{res}{space 2} .1391849{col 26}{space 2} .0151653{col 37}{space 1}    9.18{col 46}{space 3}0.000{col 54}{space 4} .1092669{col 67}{space 3}  .169103
{txt}b_patsat_z_d {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 1}c_tfull_hc2 {c |}{col 14}{res}{space 2}-.0559382{col 26}{space 2} .0292099{col 37}{space 1}   -1.92{col 46}{space 3}0.057{col 54}{space 4}-.1135635{col 67}{space 3} .0016871
{txt}c_tfull_b_~l {c |}{col 14}{res}{space 2} .0029132{col 26}{space 2}  .038816{col 37}{space 1}    0.08{col 46}{space 3}0.940{col 54}{space 4}-.0736631{col 67}{space 3} .0794894
{txt}c_tfull_b_~s {c |}{col 14}{res}{space 2}  .014223{col 26}{space 2} .0540938{col 37}{space 1}    0.26{col 46}{space 3}0.793{col 54}{space 4}-.0924932{col 67}{space 3} .1209392
{txt}c_tfull_b_~d {c |}{col 14}{res}{space 2}-.0090924{col 26}{space 2} .0266171{col 37}{space 1}   -0.34{col 46}{space 3}0.733{col 54}{space 4}-.0616027{col 67}{space 3} .0434179
{txt}c_tfull_ed~r {c |}{col 14}{res}{space 2} .0031544{col 26}{space 2} .0018384{col 37}{space 1}    1.72{col 46}{space 3}0.088{col 54}{space 4}-.0004724{col 67}{space 3} .0067812
{txt}c_tfull_b_~x {c |}{col 14}{res}{space 2} .0006674{col 26}{space 2} .0074343{col 37}{space 1}    0.09{col 46}{space 3}0.929{col 54}{space 4} -.013999{col 67}{space 3} .0153338
{txt}{space 7}_cons {c |}{col 14}{res}{space 2}-.0020586{col 26}{space 2} .0179785{col 37}{space 1}   -0.11{col 46}{space 3}0.909{col 54}{space 4}-.0375267{col 67}{space 3} .0334095
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull = .047{p_end}

{txt}       F(  1,   186) ={res}    1.49
{txt}{col 13}Prob > F ={res}    0.2233

{p 0 7}{space 1}{text:( 1)}{space 1} treatfull = -.047{p_end}

{txt}       F(  1,   186) ={res}   25.99
{txt}{col 13}Prob > F ={res}    0.0000
{txt}note: b_patsat_z_d omitted because of collinearity
{res}
{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}     7,288
{txt}{col 49}F({res}   8{txt},{res}    186{txt}){col 67}= {res}     14.25
{txt}{col 49}Prob > F{col 67}= {res}    0.0000
{txt}{col 49}R-squared{col 67}= {res}    0.0394
{txt}{col 49}Adj R-squared{col 67}= {res}    0.0363
{txt}{col 49}Root MSE{col 67}= {res}    0.5869

{txt}{ralign 78:(Std. Err. adjusted for {res:187} clusters in hc_id)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}  e_patsat_z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2} .0766279{col 26}{space 2} .0242478{col 37}{space 1}    3.16{col 46}{space 3}0.002{col 54}{space 4} .0287919{col 67}{space 3}  .124464
{txt}{space 2}b_patsat_z {c |}{col 14}{res}{space 2} .1391849{col 26}{space 2} .0151653{col 37}{space 1}    9.18{col 46}{space 3}0.000{col 54}{space 4} .1092669{col 67}{space 3}  .169103
{txt}b_patsat_z_d {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 1}c_tfull_hc2 {c |}{col 14}{res}{space 2}-.0559382{col 26}{space 2} .0292099{col 37}{space 1}   -1.92{col 46}{space 3}0.057{col 54}{space 4}-.1135635{col 67}{space 3} .0016871
{txt}c_tfull_b_~l {c |}{col 14}{res}{space 2} .0029132{col 26}{space 2}  .038816{col 37}{space 1}    0.08{col 46}{space 3}0.940{col 54}{space 4}-.0736631{col 67}{space 3} .0794894
{txt}c_tfull_b_~s {c |}{col 14}{res}{space 2}  .014223{col 26}{space 2} .0540938{col 37}{space 1}    0.26{col 46}{space 3}0.793{col 54}{space 4}-.0924932{col 67}{space 3} .1209392
{txt}c_tfull_b_~d {c |}{col 14}{res}{space 2}-.0090924{col 26}{space 2} .0266171{col 37}{space 1}   -0.34{col 46}{space 3}0.733{col 54}{space 4}-.0616027{col 67}{space 3} .0434179
{txt}c_tfull_ed~r {c |}{col 14}{res}{space 2} .0031544{col 26}{space 2} .0018384{col 37}{space 1}    1.72{col 46}{space 3}0.088{col 54}{space 4}-.0004724{col 67}{space 3} .0067812
{txt}c_tfull_b_~x {c |}{col 14}{res}{space 2} .0006674{col 26}{space 2} .0074343{col 37}{space 1}    0.09{col 46}{space 3}0.929{col 54}{space 4} -.013999{col 67}{space 3} .0153338
{txt}{space 7}_cons {c |}{col 14}{res}{space 2}-.0020586{col 26}{space 2} .0179785{col 37}{space 1}   -0.11{col 46}{space 3}0.909{col 54}{space 4}-.0375267{col 67}{space 3} .0334095
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull = .048{p_end}

{txt}       F(  1,   186) ={res}    1.39
{txt}{col 13}Prob > F ={res}    0.2393

{p 0 7}{space 1}{text:( 1)}{space 1} treatfull = -.048{p_end}

{txt}       F(  1,   186) ={res}   26.42
{txt}{col 13}Prob > F ={res}    0.0000
{txt}note: b_patsat_z_d omitted because of collinearity
{res}
{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}     7,288
{txt}{col 49}F({res}   8{txt},{res}    186{txt}){col 67}= {res}     14.25
{txt}{col 49}Prob > F{col 67}= {res}    0.0000
{txt}{col 49}R-squared{col 67}= {res}    0.0394
{txt}{col 49}Adj R-squared{col 67}= {res}    0.0363
{txt}{col 49}Root MSE{col 67}= {res}    0.5869

{txt}{ralign 78:(Std. Err. adjusted for {res:187} clusters in hc_id)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}  e_patsat_z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2} .0766279{col 26}{space 2} .0242478{col 37}{space 1}    3.16{col 46}{space 3}0.002{col 54}{space 4} .0287919{col 67}{space 3}  .124464
{txt}{space 2}b_patsat_z {c |}{col 14}{res}{space 2} .1391849{col 26}{space 2} .0151653{col 37}{space 1}    9.18{col 46}{space 3}0.000{col 54}{space 4} .1092669{col 67}{space 3}  .169103
{txt}b_patsat_z_d {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 1}c_tfull_hc2 {c |}{col 14}{res}{space 2}-.0559382{col 26}{space 2} .0292099{col 37}{space 1}   -1.92{col 46}{space 3}0.057{col 54}{space 4}-.1135635{col 67}{space 3} .0016871
{txt}c_tfull_b_~l {c |}{col 14}{res}{space 2} .0029132{col 26}{space 2}  .038816{col 37}{space 1}    0.08{col 46}{space 3}0.940{col 54}{space 4}-.0736631{col 67}{space 3} .0794894
{txt}c_tfull_b_~s {c |}{col 14}{res}{space 2}  .014223{col 26}{space 2} .0540938{col 37}{space 1}    0.26{col 46}{space 3}0.793{col 54}{space 4}-.0924932{col 67}{space 3} .1209392
{txt}c_tfull_b_~d {c |}{col 14}{res}{space 2}-.0090924{col 26}{space 2} .0266171{col 37}{space 1}   -0.34{col 46}{space 3}0.733{col 54}{space 4}-.0616027{col 67}{space 3} .0434179
{txt}c_tfull_ed~r {c |}{col 14}{res}{space 2} .0031544{col 26}{space 2} .0018384{col 37}{space 1}    1.72{col 46}{space 3}0.088{col 54}{space 4}-.0004724{col 67}{space 3} .0067812
{txt}c_tfull_b_~x {c |}{col 14}{res}{space 2} .0006674{col 26}{space 2} .0074343{col 37}{space 1}    0.09{col 46}{space 3}0.929{col 54}{space 4} -.013999{col 67}{space 3} .0153338
{txt}{space 7}_cons {c |}{col 14}{res}{space 2}-.0020586{col 26}{space 2} .0179785{col 37}{space 1}   -0.11{col 46}{space 3}0.909{col 54}{space 4}-.0375267{col 67}{space 3} .0334095
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull = .049{p_end}

{txt}       F(  1,   186) ={res}    1.30
{txt}{col 13}Prob > F ={res}    0.2560

{p 0 7}{space 1}{text:( 1)}{space 1} treatfull = -.049{p_end}

{txt}       F(  1,   186) ={res}   26.84
{txt}{col 13}Prob > F ={res}    0.0000
{txt}note: b_patsat_z_d omitted because of collinearity
{res}
{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}     7,288
{txt}{col 49}F({res}   8{txt},{res}    186{txt}){col 67}= {res}     14.25
{txt}{col 49}Prob > F{col 67}= {res}    0.0000
{txt}{col 49}R-squared{col 67}= {res}    0.0394
{txt}{col 49}Adj R-squared{col 67}= {res}    0.0363
{txt}{col 49}Root MSE{col 67}= {res}    0.5869

{txt}{ralign 78:(Std. Err. adjusted for {res:187} clusters in hc_id)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}  e_patsat_z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2} .0766279{col 26}{space 2} .0242478{col 37}{space 1}    3.16{col 46}{space 3}0.002{col 54}{space 4} .0287919{col 67}{space 3}  .124464
{txt}{space 2}b_patsat_z {c |}{col 14}{res}{space 2} .1391849{col 26}{space 2} .0151653{col 37}{space 1}    9.18{col 46}{space 3}0.000{col 54}{space 4} .1092669{col 67}{space 3}  .169103
{txt}b_patsat_z_d {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 1}c_tfull_hc2 {c |}{col 14}{res}{space 2}-.0559382{col 26}{space 2} .0292099{col 37}{space 1}   -1.92{col 46}{space 3}0.057{col 54}{space 4}-.1135635{col 67}{space 3} .0016871
{txt}c_tfull_b_~l {c |}{col 14}{res}{space 2} .0029132{col 26}{space 2}  .038816{col 37}{space 1}    0.08{col 46}{space 3}0.940{col 54}{space 4}-.0736631{col 67}{space 3} .0794894
{txt}c_tfull_b_~s {c |}{col 14}{res}{space 2}  .014223{col 26}{space 2} .0540938{col 37}{space 1}    0.26{col 46}{space 3}0.793{col 54}{space 4}-.0924932{col 67}{space 3} .1209392
{txt}c_tfull_b_~d {c |}{col 14}{res}{space 2}-.0090924{col 26}{space 2} .0266171{col 37}{space 1}   -0.34{col 46}{space 3}0.733{col 54}{space 4}-.0616027{col 67}{space 3} .0434179
{txt}c_tfull_ed~r {c |}{col 14}{res}{space 2} .0031544{col 26}{space 2} .0018384{col 37}{space 1}    1.72{col 46}{space 3}0.088{col 54}{space 4}-.0004724{col 67}{space 3} .0067812
{txt}c_tfull_b_~x {c |}{col 14}{res}{space 2} .0006674{col 26}{space 2} .0074343{col 37}{space 1}    0.09{col 46}{space 3}0.929{col 54}{space 4} -.013999{col 67}{space 3} .0153338
{txt}{space 7}_cons {c |}{col 14}{res}{space 2}-.0020586{col 26}{space 2} .0179785{col 37}{space 1}   -0.11{col 46}{space 3}0.909{col 54}{space 4}-.0375267{col 67}{space 3} .0334095
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull = .05{p_end}

{txt}       F(  1,   186) ={res}    1.21
{txt}{col 13}Prob > F ={res}    0.2736

{p 0 7}{space 1}{text:( 1)}{space 1} treatfull = -.05{p_end}

{txt}       F(  1,   186) ={res}   27.27
{txt}{col 13}Prob > F ={res}    0.0000
{txt}note: b_patsat_z_d omitted because of collinearity
{res}
{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}     7,288
{txt}{col 49}F({res}   8{txt},{res}    186{txt}){col 67}= {res}     14.25
{txt}{col 49}Prob > F{col 67}= {res}    0.0000
{txt}{col 49}R-squared{col 67}= {res}    0.0394
{txt}{col 49}Adj R-squared{col 67}= {res}    0.0363
{txt}{col 49}Root MSE{col 67}= {res}    0.5869

{txt}{ralign 78:(Std. Err. adjusted for {res:187} clusters in hc_id)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}  e_patsat_z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2} .0766279{col 26}{space 2} .0242478{col 37}{space 1}    3.16{col 46}{space 3}0.002{col 54}{space 4} .0287919{col 67}{space 3}  .124464
{txt}{space 2}b_patsat_z {c |}{col 14}{res}{space 2} .1391849{col 26}{space 2} .0151653{col 37}{space 1}    9.18{col 46}{space 3}0.000{col 54}{space 4} .1092669{col 67}{space 3}  .169103
{txt}b_patsat_z_d {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 1}c_tfull_hc2 {c |}{col 14}{res}{space 2}-.0559382{col 26}{space 2} .0292099{col 37}{space 1}   -1.92{col 46}{space 3}0.057{col 54}{space 4}-.1135635{col 67}{space 3} .0016871
{txt}c_tfull_b_~l {c |}{col 14}{res}{space 2} .0029132{col 26}{space 2}  .038816{col 37}{space 1}    0.08{col 46}{space 3}0.940{col 54}{space 4}-.0736631{col 67}{space 3} .0794894
{txt}c_tfull_b_~s {c |}{col 14}{res}{space 2}  .014223{col 26}{space 2} .0540938{col 37}{space 1}    0.26{col 46}{space 3}0.793{col 54}{space 4}-.0924932{col 67}{space 3} .1209392
{txt}c_tfull_b_~d {c |}{col 14}{res}{space 2}-.0090924{col 26}{space 2} .0266171{col 37}{space 1}   -0.34{col 46}{space 3}0.733{col 54}{space 4}-.0616027{col 67}{space 3} .0434179
{txt}c_tfull_ed~r {c |}{col 14}{res}{space 2} .0031544{col 26}{space 2} .0018384{col 37}{space 1}    1.72{col 46}{space 3}0.088{col 54}{space 4}-.0004724{col 67}{space 3} .0067812
{txt}c_tfull_b_~x {c |}{col 14}{res}{space 2} .0006674{col 26}{space 2} .0074343{col 37}{space 1}    0.09{col 46}{space 3}0.929{col 54}{space 4} -.013999{col 67}{space 3} .0153338
{txt}{space 7}_cons {c |}{col 14}{res}{space 2}-.0020586{col 26}{space 2} .0179785{col 37}{space 1}   -0.11{col 46}{space 3}0.909{col 54}{space 4}-.0375267{col 67}{space 3} .0334095
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull = .051{p_end}

{txt}       F(  1,   186) ={res}    1.12
{txt}{col 13}Prob > F ={res}    0.2919

{p 0 7}{space 1}{text:( 1)}{space 1} treatfull = -.051{p_end}

{txt}       F(  1,   186) ={res}   27.70
{txt}{col 13}Prob > F ={res}    0.0000
{txt}note: b_patsat_z_d omitted because of collinearity
{res}
{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}     7,288
{txt}{col 49}F({res}   8{txt},{res}    186{txt}){col 67}= {res}     14.25
{txt}{col 49}Prob > F{col 67}= {res}    0.0000
{txt}{col 49}R-squared{col 67}= {res}    0.0394
{txt}{col 49}Adj R-squared{col 67}= {res}    0.0363
{txt}{col 49}Root MSE{col 67}= {res}    0.5869

{txt}{ralign 78:(Std. Err. adjusted for {res:187} clusters in hc_id)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}  e_patsat_z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2} .0766279{col 26}{space 2} .0242478{col 37}{space 1}    3.16{col 46}{space 3}0.002{col 54}{space 4} .0287919{col 67}{space 3}  .124464
{txt}{space 2}b_patsat_z {c |}{col 14}{res}{space 2} .1391849{col 26}{space 2} .0151653{col 37}{space 1}    9.18{col 46}{space 3}0.000{col 54}{space 4} .1092669{col 67}{space 3}  .169103
{txt}b_patsat_z_d {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 1}c_tfull_hc2 {c |}{col 14}{res}{space 2}-.0559382{col 26}{space 2} .0292099{col 37}{space 1}   -1.92{col 46}{space 3}0.057{col 54}{space 4}-.1135635{col 67}{space 3} .0016871
{txt}c_tfull_b_~l {c |}{col 14}{res}{space 2} .0029132{col 26}{space 2}  .038816{col 37}{space 1}    0.08{col 46}{space 3}0.940{col 54}{space 4}-.0736631{col 67}{space 3} .0794894
{txt}c_tfull_b_~s {c |}{col 14}{res}{space 2}  .014223{col 26}{space 2} .0540938{col 37}{space 1}    0.26{col 46}{space 3}0.793{col 54}{space 4}-.0924932{col 67}{space 3} .1209392
{txt}c_tfull_b_~d {c |}{col 14}{res}{space 2}-.0090924{col 26}{space 2} .0266171{col 37}{space 1}   -0.34{col 46}{space 3}0.733{col 54}{space 4}-.0616027{col 67}{space 3} .0434179
{txt}c_tfull_ed~r {c |}{col 14}{res}{space 2} .0031544{col 26}{space 2} .0018384{col 37}{space 1}    1.72{col 46}{space 3}0.088{col 54}{space 4}-.0004724{col 67}{space 3} .0067812
{txt}c_tfull_b_~x {c |}{col 14}{res}{space 2} .0006674{col 26}{space 2} .0074343{col 37}{space 1}    0.09{col 46}{space 3}0.929{col 54}{space 4} -.013999{col 67}{space 3} .0153338
{txt}{space 7}_cons {c |}{col 14}{res}{space 2}-.0020586{col 26}{space 2} .0179785{col 37}{space 1}   -0.11{col 46}{space 3}0.909{col 54}{space 4}-.0375267{col 67}{space 3} .0334095
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull = .052{p_end}

{txt}       F(  1,   186) ={res}    1.03
{txt}{col 13}Prob > F ={res}    0.3111

{p 0 7}{space 1}{text:( 1)}{space 1} treatfull = -.052{p_end}

{txt}       F(  1,   186) ={res}   28.14
{txt}{col 13}Prob > F ={res}    0.0000
{txt}note: b_patsat_z_d omitted because of collinearity
{res}
{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}     7,288
{txt}{col 49}F({res}   8{txt},{res}    186{txt}){col 67}= {res}     14.25
{txt}{col 49}Prob > F{col 67}= {res}    0.0000
{txt}{col 49}R-squared{col 67}= {res}    0.0394
{txt}{col 49}Adj R-squared{col 67}= {res}    0.0363
{txt}{col 49}Root MSE{col 67}= {res}    0.5869

{txt}{ralign 78:(Std. Err. adjusted for {res:187} clusters in hc_id)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}  e_patsat_z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2} .0766279{col 26}{space 2} .0242478{col 37}{space 1}    3.16{col 46}{space 3}0.002{col 54}{space 4} .0287919{col 67}{space 3}  .124464
{txt}{space 2}b_patsat_z {c |}{col 14}{res}{space 2} .1391849{col 26}{space 2} .0151653{col 37}{space 1}    9.18{col 46}{space 3}0.000{col 54}{space 4} .1092669{col 67}{space 3}  .169103
{txt}b_patsat_z_d {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 1}c_tfull_hc2 {c |}{col 14}{res}{space 2}-.0559382{col 26}{space 2} .0292099{col 37}{space 1}   -1.92{col 46}{space 3}0.057{col 54}{space 4}-.1135635{col 67}{space 3} .0016871
{txt}c_tfull_b_~l {c |}{col 14}{res}{space 2} .0029132{col 26}{space 2}  .038816{col 37}{space 1}    0.08{col 46}{space 3}0.940{col 54}{space 4}-.0736631{col 67}{space 3} .0794894
{txt}c_tfull_b_~s {c |}{col 14}{res}{space 2}  .014223{col 26}{space 2} .0540938{col 37}{space 1}    0.26{col 46}{space 3}0.793{col 54}{space 4}-.0924932{col 67}{space 3} .1209392
{txt}c_tfull_b_~d {c |}{col 14}{res}{space 2}-.0090924{col 26}{space 2} .0266171{col 37}{space 1}   -0.34{col 46}{space 3}0.733{col 54}{space 4}-.0616027{col 67}{space 3} .0434179
{txt}c_tfull_ed~r {c |}{col 14}{res}{space 2} .0031544{col 26}{space 2} .0018384{col 37}{space 1}    1.72{col 46}{space 3}0.088{col 54}{space 4}-.0004724{col 67}{space 3} .0067812
{txt}c_tfull_b_~x {c |}{col 14}{res}{space 2} .0006674{col 26}{space 2} .0074343{col 37}{space 1}    0.09{col 46}{space 3}0.929{col 54}{space 4} -.013999{col 67}{space 3} .0153338
{txt}{space 7}_cons {c |}{col 14}{res}{space 2}-.0020586{col 26}{space 2} .0179785{col 37}{space 1}   -0.11{col 46}{space 3}0.909{col 54}{space 4}-.0375267{col 67}{space 3} .0334095
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull = .053{p_end}

{txt}       F(  1,   186) ={res}    0.95
{txt}{col 13}Prob > F ={res}    0.3311

{p 0 7}{space 1}{text:( 1)}{space 1} treatfull = -.053{p_end}

{txt}       F(  1,   186) ={res}   28.58
{txt}{col 13}Prob > F ={res}    0.0000
{txt}note: b_patsat_z_d omitted because of collinearity
{res}
{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}     7,288
{txt}{col 49}F({res}   8{txt},{res}    186{txt}){col 67}= {res}     14.25
{txt}{col 49}Prob > F{col 67}= {res}    0.0000
{txt}{col 49}R-squared{col 67}= {res}    0.0394
{txt}{col 49}Adj R-squared{col 67}= {res}    0.0363
{txt}{col 49}Root MSE{col 67}= {res}    0.5869

{txt}{ralign 78:(Std. Err. adjusted for {res:187} clusters in hc_id)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}  e_patsat_z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2} .0766279{col 26}{space 2} .0242478{col 37}{space 1}    3.16{col 46}{space 3}0.002{col 54}{space 4} .0287919{col 67}{space 3}  .124464
{txt}{space 2}b_patsat_z {c |}{col 14}{res}{space 2} .1391849{col 26}{space 2} .0151653{col 37}{space 1}    9.18{col 46}{space 3}0.000{col 54}{space 4} .1092669{col 67}{space 3}  .169103
{txt}b_patsat_z_d {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 1}c_tfull_hc2 {c |}{col 14}{res}{space 2}-.0559382{col 26}{space 2} .0292099{col 37}{space 1}   -1.92{col 46}{space 3}0.057{col 54}{space 4}-.1135635{col 67}{space 3} .0016871
{txt}c_tfull_b_~l {c |}{col 14}{res}{space 2} .0029132{col 26}{space 2}  .038816{col 37}{space 1}    0.08{col 46}{space 3}0.940{col 54}{space 4}-.0736631{col 67}{space 3} .0794894
{txt}c_tfull_b_~s {c |}{col 14}{res}{space 2}  .014223{col 26}{space 2} .0540938{col 37}{space 1}    0.26{col 46}{space 3}0.793{col 54}{space 4}-.0924932{col 67}{space 3} .1209392
{txt}c_tfull_b_~d {c |}{col 14}{res}{space 2}-.0090924{col 26}{space 2} .0266171{col 37}{space 1}   -0.34{col 46}{space 3}0.733{col 54}{space 4}-.0616027{col 67}{space 3} .0434179
{txt}c_tfull_ed~r {c |}{col 14}{res}{space 2} .0031544{col 26}{space 2} .0018384{col 37}{space 1}    1.72{col 46}{space 3}0.088{col 54}{space 4}-.0004724{col 67}{space 3} .0067812
{txt}c_tfull_b_~x {c |}{col 14}{res}{space 2} .0006674{col 26}{space 2} .0074343{col 37}{space 1}    0.09{col 46}{space 3}0.929{col 54}{space 4} -.013999{col 67}{space 3} .0153338
{txt}{space 7}_cons {c |}{col 14}{res}{space 2}-.0020586{col 26}{space 2} .0179785{col 37}{space 1}   -0.11{col 46}{space 3}0.909{col 54}{space 4}-.0375267{col 67}{space 3} .0334095
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull = .054{p_end}

{txt}       F(  1,   186) ={res}    0.87
{txt}{col 13}Prob > F ={res}    0.3519

{p 0 7}{space 1}{text:( 1)}{space 1} treatfull = -.054{p_end}

{txt}       F(  1,   186) ={res}   29.02
{txt}{col 13}Prob > F ={res}    0.0000
{txt}note: b_patsat_z_d omitted because of collinearity
{res}
{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}     7,288
{txt}{col 49}F({res}   8{txt},{res}    186{txt}){col 67}= {res}     14.25
{txt}{col 49}Prob > F{col 67}= {res}    0.0000
{txt}{col 49}R-squared{col 67}= {res}    0.0394
{txt}{col 49}Adj R-squared{col 67}= {res}    0.0363
{txt}{col 49}Root MSE{col 67}= {res}    0.5869

{txt}{ralign 78:(Std. Err. adjusted for {res:187} clusters in hc_id)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}  e_patsat_z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2} .0766279{col 26}{space 2} .0242478{col 37}{space 1}    3.16{col 46}{space 3}0.002{col 54}{space 4} .0287919{col 67}{space 3}  .124464
{txt}{space 2}b_patsat_z {c |}{col 14}{res}{space 2} .1391849{col 26}{space 2} .0151653{col 37}{space 1}    9.18{col 46}{space 3}0.000{col 54}{space 4} .1092669{col 67}{space 3}  .169103
{txt}b_patsat_z_d {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 1}c_tfull_hc2 {c |}{col 14}{res}{space 2}-.0559382{col 26}{space 2} .0292099{col 37}{space 1}   -1.92{col 46}{space 3}0.057{col 54}{space 4}-.1135635{col 67}{space 3} .0016871
{txt}c_tfull_b_~l {c |}{col 14}{res}{space 2} .0029132{col 26}{space 2}  .038816{col 37}{space 1}    0.08{col 46}{space 3}0.940{col 54}{space 4}-.0736631{col 67}{space 3} .0794894
{txt}c_tfull_b_~s {c |}{col 14}{res}{space 2}  .014223{col 26}{space 2} .0540938{col 37}{space 1}    0.26{col 46}{space 3}0.793{col 54}{space 4}-.0924932{col 67}{space 3} .1209392
{txt}c_tfull_b_~d {c |}{col 14}{res}{space 2}-.0090924{col 26}{space 2} .0266171{col 37}{space 1}   -0.34{col 46}{space 3}0.733{col 54}{space 4}-.0616027{col 67}{space 3} .0434179
{txt}c_tfull_ed~r {c |}{col 14}{res}{space 2} .0031544{col 26}{space 2} .0018384{col 37}{space 1}    1.72{col 46}{space 3}0.088{col 54}{space 4}-.0004724{col 67}{space 3} .0067812
{txt}c_tfull_b_~x {c |}{col 14}{res}{space 2} .0006674{col 26}{space 2} .0074343{col 37}{space 1}    0.09{col 46}{space 3}0.929{col 54}{space 4} -.013999{col 67}{space 3} .0153338
{txt}{space 7}_cons {c |}{col 14}{res}{space 2}-.0020586{col 26}{space 2} .0179785{col 37}{space 1}   -0.11{col 46}{space 3}0.909{col 54}{space 4}-.0375267{col 67}{space 3} .0334095
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull = .055{p_end}

{txt}       F(  1,   186) ={res}    0.80
{txt}{col 13}Prob > F ={res}    0.3736

{p 0 7}{space 1}{text:( 1)}{space 1} treatfull = -.055{p_end}

{txt}       F(  1,   186) ={res}   29.47
{txt}{col 13}Prob > F ={res}    0.0000
{txt}note: b_patsat_z_d omitted because of collinearity
{res}
{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}     7,288
{txt}{col 49}F({res}   8{txt},{res}    186{txt}){col 67}= {res}     14.25
{txt}{col 49}Prob > F{col 67}= {res}    0.0000
{txt}{col 49}R-squared{col 67}= {res}    0.0394
{txt}{col 49}Adj R-squared{col 67}= {res}    0.0363
{txt}{col 49}Root MSE{col 67}= {res}    0.5869

{txt}{ralign 78:(Std. Err. adjusted for {res:187} clusters in hc_id)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}  e_patsat_z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2} .0766279{col 26}{space 2} .0242478{col 37}{space 1}    3.16{col 46}{space 3}0.002{col 54}{space 4} .0287919{col 67}{space 3}  .124464
{txt}{space 2}b_patsat_z {c |}{col 14}{res}{space 2} .1391849{col 26}{space 2} .0151653{col 37}{space 1}    9.18{col 46}{space 3}0.000{col 54}{space 4} .1092669{col 67}{space 3}  .169103
{txt}b_patsat_z_d {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 1}c_tfull_hc2 {c |}{col 14}{res}{space 2}-.0559382{col 26}{space 2} .0292099{col 37}{space 1}   -1.92{col 46}{space 3}0.057{col 54}{space 4}-.1135635{col 67}{space 3} .0016871
{txt}c_tfull_b_~l {c |}{col 14}{res}{space 2} .0029132{col 26}{space 2}  .038816{col 37}{space 1}    0.08{col 46}{space 3}0.940{col 54}{space 4}-.0736631{col 67}{space 3} .0794894
{txt}c_tfull_b_~s {c |}{col 14}{res}{space 2}  .014223{col 26}{space 2} .0540938{col 37}{space 1}    0.26{col 46}{space 3}0.793{col 54}{space 4}-.0924932{col 67}{space 3} .1209392
{txt}c_tfull_b_~d {c |}{col 14}{res}{space 2}-.0090924{col 26}{space 2} .0266171{col 37}{space 1}   -0.34{col 46}{space 3}0.733{col 54}{space 4}-.0616027{col 67}{space 3} .0434179
{txt}c_tfull_ed~r {c |}{col 14}{res}{space 2} .0031544{col 26}{space 2} .0018384{col 37}{space 1}    1.72{col 46}{space 3}0.088{col 54}{space 4}-.0004724{col 67}{space 3} .0067812
{txt}c_tfull_b_~x {c |}{col 14}{res}{space 2} .0006674{col 26}{space 2} .0074343{col 37}{space 1}    0.09{col 46}{space 3}0.929{col 54}{space 4} -.013999{col 67}{space 3} .0153338
{txt}{space 7}_cons {c |}{col 14}{res}{space 2}-.0020586{col 26}{space 2} .0179785{col 37}{space 1}   -0.11{col 46}{space 3}0.909{col 54}{space 4}-.0375267{col 67}{space 3} .0334095
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull = .056{p_end}

{txt}       F(  1,   186) ={res}    0.72
{txt}{col 13}Prob > F ={res}    0.3960

{p 0 7}{space 1}{text:( 1)}{space 1} treatfull = -.056{p_end}

{txt}       F(  1,   186) ={res}   29.92
{txt}{col 13}Prob > F ={res}    0.0000
{txt}note: b_patsat_z_d omitted because of collinearity
{res}
{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}     7,288
{txt}{col 49}F({res}   8{txt},{res}    186{txt}){col 67}= {res}     14.25
{txt}{col 49}Prob > F{col 67}= {res}    0.0000
{txt}{col 49}R-squared{col 67}= {res}    0.0394
{txt}{col 49}Adj R-squared{col 67}= {res}    0.0363
{txt}{col 49}Root MSE{col 67}= {res}    0.5869

{txt}{ralign 78:(Std. Err. adjusted for {res:187} clusters in hc_id)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}  e_patsat_z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2} .0766279{col 26}{space 2} .0242478{col 37}{space 1}    3.16{col 46}{space 3}0.002{col 54}{space 4} .0287919{col 67}{space 3}  .124464
{txt}{space 2}b_patsat_z {c |}{col 14}{res}{space 2} .1391849{col 26}{space 2} .0151653{col 37}{space 1}    9.18{col 46}{space 3}0.000{col 54}{space 4} .1092669{col 67}{space 3}  .169103
{txt}b_patsat_z_d {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 1}c_tfull_hc2 {c |}{col 14}{res}{space 2}-.0559382{col 26}{space 2} .0292099{col 37}{space 1}   -1.92{col 46}{space 3}0.057{col 54}{space 4}-.1135635{col 67}{space 3} .0016871
{txt}c_tfull_b_~l {c |}{col 14}{res}{space 2} .0029132{col 26}{space 2}  .038816{col 37}{space 1}    0.08{col 46}{space 3}0.940{col 54}{space 4}-.0736631{col 67}{space 3} .0794894
{txt}c_tfull_b_~s {c |}{col 14}{res}{space 2}  .014223{col 26}{space 2} .0540938{col 37}{space 1}    0.26{col 46}{space 3}0.793{col 54}{space 4}-.0924932{col 67}{space 3} .1209392
{txt}c_tfull_b_~d {c |}{col 14}{res}{space 2}-.0090924{col 26}{space 2} .0266171{col 37}{space 1}   -0.34{col 46}{space 3}0.733{col 54}{space 4}-.0616027{col 67}{space 3} .0434179
{txt}c_tfull_ed~r {c |}{col 14}{res}{space 2} .0031544{col 26}{space 2} .0018384{col 37}{space 1}    1.72{col 46}{space 3}0.088{col 54}{space 4}-.0004724{col 67}{space 3} .0067812
{txt}c_tfull_b_~x {c |}{col 14}{res}{space 2} .0006674{col 26}{space 2} .0074343{col 37}{space 1}    0.09{col 46}{space 3}0.929{col 54}{space 4} -.013999{col 67}{space 3} .0153338
{txt}{space 7}_cons {c |}{col 14}{res}{space 2}-.0020586{col 26}{space 2} .0179785{col 37}{space 1}   -0.11{col 46}{space 3}0.909{col 54}{space 4}-.0375267{col 67}{space 3} .0334095
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull = .057{p_end}

{txt}       F(  1,   186) ={res}    0.66
{txt}{col 13}Prob > F ={res}    0.4193

{p 0 7}{space 1}{text:( 1)}{space 1} treatfull = -.057{p_end}

{txt}       F(  1,   186) ={res}   30.37
{txt}{col 13}Prob > F ={res}    0.0000
{txt}note: b_patsat_z_d omitted because of collinearity
{res}
{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}     7,288
{txt}{col 49}F({res}   8{txt},{res}    186{txt}){col 67}= {res}     14.25
{txt}{col 49}Prob > F{col 67}= {res}    0.0000
{txt}{col 49}R-squared{col 67}= {res}    0.0394
{txt}{col 49}Adj R-squared{col 67}= {res}    0.0363
{txt}{col 49}Root MSE{col 67}= {res}    0.5869

{txt}{ralign 78:(Std. Err. adjusted for {res:187} clusters in hc_id)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}  e_patsat_z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2} .0766279{col 26}{space 2} .0242478{col 37}{space 1}    3.16{col 46}{space 3}0.002{col 54}{space 4} .0287919{col 67}{space 3}  .124464
{txt}{space 2}b_patsat_z {c |}{col 14}{res}{space 2} .1391849{col 26}{space 2} .0151653{col 37}{space 1}    9.18{col 46}{space 3}0.000{col 54}{space 4} .1092669{col 67}{space 3}  .169103
{txt}b_patsat_z_d {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 1}c_tfull_hc2 {c |}{col 14}{res}{space 2}-.0559382{col 26}{space 2} .0292099{col 37}{space 1}   -1.92{col 46}{space 3}0.057{col 54}{space 4}-.1135635{col 67}{space 3} .0016871
{txt}c_tfull_b_~l {c |}{col 14}{res}{space 2} .0029132{col 26}{space 2}  .038816{col 37}{space 1}    0.08{col 46}{space 3}0.940{col 54}{space 4}-.0736631{col 67}{space 3} .0794894
{txt}c_tfull_b_~s {c |}{col 14}{res}{space 2}  .014223{col 26}{space 2} .0540938{col 37}{space 1}    0.26{col 46}{space 3}0.793{col 54}{space 4}-.0924932{col 67}{space 3} .1209392
{txt}c_tfull_b_~d {c |}{col 14}{res}{space 2}-.0090924{col 26}{space 2} .0266171{col 37}{space 1}   -0.34{col 46}{space 3}0.733{col 54}{space 4}-.0616027{col 67}{space 3} .0434179
{txt}c_tfull_ed~r {c |}{col 14}{res}{space 2} .0031544{col 26}{space 2} .0018384{col 37}{space 1}    1.72{col 46}{space 3}0.088{col 54}{space 4}-.0004724{col 67}{space 3} .0067812
{txt}c_tfull_b_~x {c |}{col 14}{res}{space 2} .0006674{col 26}{space 2} .0074343{col 37}{space 1}    0.09{col 46}{space 3}0.929{col 54}{space 4} -.013999{col 67}{space 3} .0153338
{txt}{space 7}_cons {c |}{col 14}{res}{space 2}-.0020586{col 26}{space 2} .0179785{col 37}{space 1}   -0.11{col 46}{space 3}0.909{col 54}{space 4}-.0375267{col 67}{space 3} .0334095
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull = .058{p_end}

{txt}       F(  1,   186) ={res}    0.59
{txt}{col 13}Prob > F ={res}    0.4433

{p 0 7}{space 1}{text:( 1)}{space 1} treatfull = -.058{p_end}

{txt}       F(  1,   186) ={res}   30.83
{txt}{col 13}Prob > F ={res}    0.0000
{txt}note: b_patsat_z_d omitted because of collinearity
{res}
{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}     7,288
{txt}{col 49}F({res}   8{txt},{res}    186{txt}){col 67}= {res}     14.25
{txt}{col 49}Prob > F{col 67}= {res}    0.0000
{txt}{col 49}R-squared{col 67}= {res}    0.0394
{txt}{col 49}Adj R-squared{col 67}= {res}    0.0363
{txt}{col 49}Root MSE{col 67}= {res}    0.5869

{txt}{ralign 78:(Std. Err. adjusted for {res:187} clusters in hc_id)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}  e_patsat_z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2} .0766279{col 26}{space 2} .0242478{col 37}{space 1}    3.16{col 46}{space 3}0.002{col 54}{space 4} .0287919{col 67}{space 3}  .124464
{txt}{space 2}b_patsat_z {c |}{col 14}{res}{space 2} .1391849{col 26}{space 2} .0151653{col 37}{space 1}    9.18{col 46}{space 3}0.000{col 54}{space 4} .1092669{col 67}{space 3}  .169103
{txt}b_patsat_z_d {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 1}c_tfull_hc2 {c |}{col 14}{res}{space 2}-.0559382{col 26}{space 2} .0292099{col 37}{space 1}   -1.92{col 46}{space 3}0.057{col 54}{space 4}-.1135635{col 67}{space 3} .0016871
{txt}c_tfull_b_~l {c |}{col 14}{res}{space 2} .0029132{col 26}{space 2}  .038816{col 37}{space 1}    0.08{col 46}{space 3}0.940{col 54}{space 4}-.0736631{col 67}{space 3} .0794894
{txt}c_tfull_b_~s {c |}{col 14}{res}{space 2}  .014223{col 26}{space 2} .0540938{col 37}{space 1}    0.26{col 46}{space 3}0.793{col 54}{space 4}-.0924932{col 67}{space 3} .1209392
{txt}c_tfull_b_~d {c |}{col 14}{res}{space 2}-.0090924{col 26}{space 2} .0266171{col 37}{space 1}   -0.34{col 46}{space 3}0.733{col 54}{space 4}-.0616027{col 67}{space 3} .0434179
{txt}c_tfull_ed~r {c |}{col 14}{res}{space 2} .0031544{col 26}{space 2} .0018384{col 37}{space 1}    1.72{col 46}{space 3}0.088{col 54}{space 4}-.0004724{col 67}{space 3} .0067812
{txt}c_tfull_b_~x {c |}{col 14}{res}{space 2} .0006674{col 26}{space 2} .0074343{col 37}{space 1}    0.09{col 46}{space 3}0.929{col 54}{space 4} -.013999{col 67}{space 3} .0153338
{txt}{space 7}_cons {c |}{col 14}{res}{space 2}-.0020586{col 26}{space 2} .0179785{col 37}{space 1}   -0.11{col 46}{space 3}0.909{col 54}{space 4}-.0375267{col 67}{space 3} .0334095
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull = .059{p_end}

{txt}       F(  1,   186) ={res}    0.53
{txt}{col 13}Prob > F ={res}    0.4681

{p 0 7}{space 1}{text:( 1)}{space 1} treatfull = -.059{p_end}

{txt}       F(  1,   186) ={res}   31.29
{txt}{col 13}Prob > F ={res}    0.0000
{txt}note: b_patsat_z_d omitted because of collinearity
{res}
{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}     7,288
{txt}{col 49}F({res}   8{txt},{res}    186{txt}){col 67}= {res}     14.25
{txt}{col 49}Prob > F{col 67}= {res}    0.0000
{txt}{col 49}R-squared{col 67}= {res}    0.0394
{txt}{col 49}Adj R-squared{col 67}= {res}    0.0363
{txt}{col 49}Root MSE{col 67}= {res}    0.5869

{txt}{ralign 78:(Std. Err. adjusted for {res:187} clusters in hc_id)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}  e_patsat_z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2} .0766279{col 26}{space 2} .0242478{col 37}{space 1}    3.16{col 46}{space 3}0.002{col 54}{space 4} .0287919{col 67}{space 3}  .124464
{txt}{space 2}b_patsat_z {c |}{col 14}{res}{space 2} .1391849{col 26}{space 2} .0151653{col 37}{space 1}    9.18{col 46}{space 3}0.000{col 54}{space 4} .1092669{col 67}{space 3}  .169103
{txt}b_patsat_z_d {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 1}c_tfull_hc2 {c |}{col 14}{res}{space 2}-.0559382{col 26}{space 2} .0292099{col 37}{space 1}   -1.92{col 46}{space 3}0.057{col 54}{space 4}-.1135635{col 67}{space 3} .0016871
{txt}c_tfull_b_~l {c |}{col 14}{res}{space 2} .0029132{col 26}{space 2}  .038816{col 37}{space 1}    0.08{col 46}{space 3}0.940{col 54}{space 4}-.0736631{col 67}{space 3} .0794894
{txt}c_tfull_b_~s {c |}{col 14}{res}{space 2}  .014223{col 26}{space 2} .0540938{col 37}{space 1}    0.26{col 46}{space 3}0.793{col 54}{space 4}-.0924932{col 67}{space 3} .1209392
{txt}c_tfull_b_~d {c |}{col 14}{res}{space 2}-.0090924{col 26}{space 2} .0266171{col 37}{space 1}   -0.34{col 46}{space 3}0.733{col 54}{space 4}-.0616027{col 67}{space 3} .0434179
{txt}c_tfull_ed~r {c |}{col 14}{res}{space 2} .0031544{col 26}{space 2} .0018384{col 37}{space 1}    1.72{col 46}{space 3}0.088{col 54}{space 4}-.0004724{col 67}{space 3} .0067812
{txt}c_tfull_b_~x {c |}{col 14}{res}{space 2} .0006674{col 26}{space 2} .0074343{col 37}{space 1}    0.09{col 46}{space 3}0.929{col 54}{space 4} -.013999{col 67}{space 3} .0153338
{txt}{space 7}_cons {c |}{col 14}{res}{space 2}-.0020586{col 26}{space 2} .0179785{col 37}{space 1}   -0.11{col 46}{space 3}0.909{col 54}{space 4}-.0375267{col 67}{space 3} .0334095
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull = .06{p_end}

{txt}       F(  1,   186) ={res}    0.47
{txt}{col 13}Prob > F ={res}    0.4937

{p 0 7}{space 1}{text:( 1)}{space 1} treatfull = -.06{p_end}

{txt}       F(  1,   186) ={res}   31.75
{txt}{col 13}Prob > F ={res}    0.0000
{txt}note: b_patsat_z_d omitted because of collinearity
{res}
{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}     7,288
{txt}{col 49}F({res}   8{txt},{res}    186{txt}){col 67}= {res}     14.25
{txt}{col 49}Prob > F{col 67}= {res}    0.0000
{txt}{col 49}R-squared{col 67}= {res}    0.0394
{txt}{col 49}Adj R-squared{col 67}= {res}    0.0363
{txt}{col 49}Root MSE{col 67}= {res}    0.5869

{txt}{ralign 78:(Std. Err. adjusted for {res:187} clusters in hc_id)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}  e_patsat_z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2} .0766279{col 26}{space 2} .0242478{col 37}{space 1}    3.16{col 46}{space 3}0.002{col 54}{space 4} .0287919{col 67}{space 3}  .124464
{txt}{space 2}b_patsat_z {c |}{col 14}{res}{space 2} .1391849{col 26}{space 2} .0151653{col 37}{space 1}    9.18{col 46}{space 3}0.000{col 54}{space 4} .1092669{col 67}{space 3}  .169103
{txt}b_patsat_z_d {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 1}c_tfull_hc2 {c |}{col 14}{res}{space 2}-.0559382{col 26}{space 2} .0292099{col 37}{space 1}   -1.92{col 46}{space 3}0.057{col 54}{space 4}-.1135635{col 67}{space 3} .0016871
{txt}c_tfull_b_~l {c |}{col 14}{res}{space 2} .0029132{col 26}{space 2}  .038816{col 37}{space 1}    0.08{col 46}{space 3}0.940{col 54}{space 4}-.0736631{col 67}{space 3} .0794894
{txt}c_tfull_b_~s {c |}{col 14}{res}{space 2}  .014223{col 26}{space 2} .0540938{col 37}{space 1}    0.26{col 46}{space 3}0.793{col 54}{space 4}-.0924932{col 67}{space 3} .1209392
{txt}c_tfull_b_~d {c |}{col 14}{res}{space 2}-.0090924{col 26}{space 2} .0266171{col 37}{space 1}   -0.34{col 46}{space 3}0.733{col 54}{space 4}-.0616027{col 67}{space 3} .0434179
{txt}c_tfull_ed~r {c |}{col 14}{res}{space 2} .0031544{col 26}{space 2} .0018384{col 37}{space 1}    1.72{col 46}{space 3}0.088{col 54}{space 4}-.0004724{col 67}{space 3} .0067812
{txt}c_tfull_b_~x {c |}{col 14}{res}{space 2} .0006674{col 26}{space 2} .0074343{col 37}{space 1}    0.09{col 46}{space 3}0.929{col 54}{space 4} -.013999{col 67}{space 3} .0153338
{txt}{space 7}_cons {c |}{col 14}{res}{space 2}-.0020586{col 26}{space 2} .0179785{col 37}{space 1}   -0.11{col 46}{space 3}0.909{col 54}{space 4}-.0375267{col 67}{space 3} .0334095
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull = .061{p_end}

{txt}       F(  1,   186) ={res}    0.42
{txt}{col 13}Prob > F ={res}    0.5200

{p 0 7}{space 1}{text:( 1)}{space 1} treatfull = -.061{p_end}

{txt}       F(  1,   186) ={res}   32.22
{txt}{col 13}Prob > F ={res}    0.0000
{txt}note: b_patsat_z_d omitted because of collinearity
{res}
{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}     7,288
{txt}{col 49}F({res}   8{txt},{res}    186{txt}){col 67}= {res}     14.25
{txt}{col 49}Prob > F{col 67}= {res}    0.0000
{txt}{col 49}R-squared{col 67}= {res}    0.0394
{txt}{col 49}Adj R-squared{col 67}= {res}    0.0363
{txt}{col 49}Root MSE{col 67}= {res}    0.5869

{txt}{ralign 78:(Std. Err. adjusted for {res:187} clusters in hc_id)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}  e_patsat_z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2} .0766279{col 26}{space 2} .0242478{col 37}{space 1}    3.16{col 46}{space 3}0.002{col 54}{space 4} .0287919{col 67}{space 3}  .124464
{txt}{space 2}b_patsat_z {c |}{col 14}{res}{space 2} .1391849{col 26}{space 2} .0151653{col 37}{space 1}    9.18{col 46}{space 3}0.000{col 54}{space 4} .1092669{col 67}{space 3}  .169103
{txt}b_patsat_z_d {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 1}c_tfull_hc2 {c |}{col 14}{res}{space 2}-.0559382{col 26}{space 2} .0292099{col 37}{space 1}   -1.92{col 46}{space 3}0.057{col 54}{space 4}-.1135635{col 67}{space 3} .0016871
{txt}c_tfull_b_~l {c |}{col 14}{res}{space 2} .0029132{col 26}{space 2}  .038816{col 37}{space 1}    0.08{col 46}{space 3}0.940{col 54}{space 4}-.0736631{col 67}{space 3} .0794894
{txt}c_tfull_b_~s {c |}{col 14}{res}{space 2}  .014223{col 26}{space 2} .0540938{col 37}{space 1}    0.26{col 46}{space 3}0.793{col 54}{space 4}-.0924932{col 67}{space 3} .1209392
{txt}c_tfull_b_~d {c |}{col 14}{res}{space 2}-.0090924{col 26}{space 2} .0266171{col 37}{space 1}   -0.34{col 46}{space 3}0.733{col 54}{space 4}-.0616027{col 67}{space 3} .0434179
{txt}c_tfull_ed~r {c |}{col 14}{res}{space 2} .0031544{col 26}{space 2} .0018384{col 37}{space 1}    1.72{col 46}{space 3}0.088{col 54}{space 4}-.0004724{col 67}{space 3} .0067812
{txt}c_tfull_b_~x {c |}{col 14}{res}{space 2} .0006674{col 26}{space 2} .0074343{col 37}{space 1}    0.09{col 46}{space 3}0.929{col 54}{space 4} -.013999{col 67}{space 3} .0153338
{txt}{space 7}_cons {c |}{col 14}{res}{space 2}-.0020586{col 26}{space 2} .0179785{col 37}{space 1}   -0.11{col 46}{space 3}0.909{col 54}{space 4}-.0375267{col 67}{space 3} .0334095
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull = .062{p_end}

{txt}       F(  1,   186) ={res}    0.36
{txt}{col 13}Prob > F ={res}    0.5471

{p 0 7}{space 1}{text:( 1)}{space 1} treatfull = -.062{p_end}

{txt}       F(  1,   186) ={res}   32.69
{txt}{col 13}Prob > F ={res}    0.0000
{txt}note: b_patsat_z_d omitted because of collinearity
{res}
{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}     7,288
{txt}{col 49}F({res}   8{txt},{res}    186{txt}){col 67}= {res}     14.25
{txt}{col 49}Prob > F{col 67}= {res}    0.0000
{txt}{col 49}R-squared{col 67}= {res}    0.0394
{txt}{col 49}Adj R-squared{col 67}= {res}    0.0363
{txt}{col 49}Root MSE{col 67}= {res}    0.5869

{txt}{ralign 78:(Std. Err. adjusted for {res:187} clusters in hc_id)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}  e_patsat_z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2} .0766279{col 26}{space 2} .0242478{col 37}{space 1}    3.16{col 46}{space 3}0.002{col 54}{space 4} .0287919{col 67}{space 3}  .124464
{txt}{space 2}b_patsat_z {c |}{col 14}{res}{space 2} .1391849{col 26}{space 2} .0151653{col 37}{space 1}    9.18{col 46}{space 3}0.000{col 54}{space 4} .1092669{col 67}{space 3}  .169103
{txt}b_patsat_z_d {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 1}c_tfull_hc2 {c |}{col 14}{res}{space 2}-.0559382{col 26}{space 2} .0292099{col 37}{space 1}   -1.92{col 46}{space 3}0.057{col 54}{space 4}-.1135635{col 67}{space 3} .0016871
{txt}c_tfull_b_~l {c |}{col 14}{res}{space 2} .0029132{col 26}{space 2}  .038816{col 37}{space 1}    0.08{col 46}{space 3}0.940{col 54}{space 4}-.0736631{col 67}{space 3} .0794894
{txt}c_tfull_b_~s {c |}{col 14}{res}{space 2}  .014223{col 26}{space 2} .0540938{col 37}{space 1}    0.26{col 46}{space 3}0.793{col 54}{space 4}-.0924932{col 67}{space 3} .1209392
{txt}c_tfull_b_~d {c |}{col 14}{res}{space 2}-.0090924{col 26}{space 2} .0266171{col 37}{space 1}   -0.34{col 46}{space 3}0.733{col 54}{space 4}-.0616027{col 67}{space 3} .0434179
{txt}c_tfull_ed~r {c |}{col 14}{res}{space 2} .0031544{col 26}{space 2} .0018384{col 37}{space 1}    1.72{col 46}{space 3}0.088{col 54}{space 4}-.0004724{col 67}{space 3} .0067812
{txt}c_tfull_b_~x {c |}{col 14}{res}{space 2} .0006674{col 26}{space 2} .0074343{col 37}{space 1}    0.09{col 46}{space 3}0.929{col 54}{space 4} -.013999{col 67}{space 3} .0153338
{txt}{space 7}_cons {c |}{col 14}{res}{space 2}-.0020586{col 26}{space 2} .0179785{col 37}{space 1}   -0.11{col 46}{space 3}0.909{col 54}{space 4}-.0375267{col 67}{space 3} .0334095
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull = .063{p_end}

{txt}       F(  1,   186) ={res}    0.32
{txt}{col 13}Prob > F ={res}    0.5748

{p 0 7}{space 1}{text:( 1)}{space 1} treatfull = -.063{p_end}

{txt}       F(  1,   186) ={res}   33.16
{txt}{col 13}Prob > F ={res}    0.0000
{txt}note: b_patsat_z_d omitted because of collinearity
{res}
{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}     7,288
{txt}{col 49}F({res}   8{txt},{res}    186{txt}){col 67}= {res}     14.25
{txt}{col 49}Prob > F{col 67}= {res}    0.0000
{txt}{col 49}R-squared{col 67}= {res}    0.0394
{txt}{col 49}Adj R-squared{col 67}= {res}    0.0363
{txt}{col 49}Root MSE{col 67}= {res}    0.5869

{txt}{ralign 78:(Std. Err. adjusted for {res:187} clusters in hc_id)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}  e_patsat_z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2} .0766279{col 26}{space 2} .0242478{col 37}{space 1}    3.16{col 46}{space 3}0.002{col 54}{space 4} .0287919{col 67}{space 3}  .124464
{txt}{space 2}b_patsat_z {c |}{col 14}{res}{space 2} .1391849{col 26}{space 2} .0151653{col 37}{space 1}    9.18{col 46}{space 3}0.000{col 54}{space 4} .1092669{col 67}{space 3}  .169103
{txt}b_patsat_z_d {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 1}c_tfull_hc2 {c |}{col 14}{res}{space 2}-.0559382{col 26}{space 2} .0292099{col 37}{space 1}   -1.92{col 46}{space 3}0.057{col 54}{space 4}-.1135635{col 67}{space 3} .0016871
{txt}c_tfull_b_~l {c |}{col 14}{res}{space 2} .0029132{col 26}{space 2}  .038816{col 37}{space 1}    0.08{col 46}{space 3}0.940{col 54}{space 4}-.0736631{col 67}{space 3} .0794894
{txt}c_tfull_b_~s {c |}{col 14}{res}{space 2}  .014223{col 26}{space 2} .0540938{col 37}{space 1}    0.26{col 46}{space 3}0.793{col 54}{space 4}-.0924932{col 67}{space 3} .1209392
{txt}c_tfull_b_~d {c |}{col 14}{res}{space 2}-.0090924{col 26}{space 2} .0266171{col 37}{space 1}   -0.34{col 46}{space 3}0.733{col 54}{space 4}-.0616027{col 67}{space 3} .0434179
{txt}c_tfull_ed~r {c |}{col 14}{res}{space 2} .0031544{col 26}{space 2} .0018384{col 37}{space 1}    1.72{col 46}{space 3}0.088{col 54}{space 4}-.0004724{col 67}{space 3} .0067812
{txt}c_tfull_b_~x {c |}{col 14}{res}{space 2} .0006674{col 26}{space 2} .0074343{col 37}{space 1}    0.09{col 46}{space 3}0.929{col 54}{space 4} -.013999{col 67}{space 3} .0153338
{txt}{space 7}_cons {c |}{col 14}{res}{space 2}-.0020586{col 26}{space 2} .0179785{col 37}{space 1}   -0.11{col 46}{space 3}0.909{col 54}{space 4}-.0375267{col 67}{space 3} .0334095
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull = .064{p_end}

{txt}       F(  1,   186) ={res}    0.27
{txt}{col 13}Prob > F ={res}    0.6031

{p 0 7}{space 1}{text:( 1)}{space 1} treatfull = -.064{p_end}

{txt}       F(  1,   186) ={res}   33.64
{txt}{col 13}Prob > F ={res}    0.0000
{txt}note: b_patsat_z_d omitted because of collinearity
{res}
{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}     7,288
{txt}{col 49}F({res}   8{txt},{res}    186{txt}){col 67}= {res}     14.25
{txt}{col 49}Prob > F{col 67}= {res}    0.0000
{txt}{col 49}R-squared{col 67}= {res}    0.0394
{txt}{col 49}Adj R-squared{col 67}= {res}    0.0363
{txt}{col 49}Root MSE{col 67}= {res}    0.5869

{txt}{ralign 78:(Std. Err. adjusted for {res:187} clusters in hc_id)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}  e_patsat_z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2} .0766279{col 26}{space 2} .0242478{col 37}{space 1}    3.16{col 46}{space 3}0.002{col 54}{space 4} .0287919{col 67}{space 3}  .124464
{txt}{space 2}b_patsat_z {c |}{col 14}{res}{space 2} .1391849{col 26}{space 2} .0151653{col 37}{space 1}    9.18{col 46}{space 3}0.000{col 54}{space 4} .1092669{col 67}{space 3}  .169103
{txt}b_patsat_z_d {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 1}c_tfull_hc2 {c |}{col 14}{res}{space 2}-.0559382{col 26}{space 2} .0292099{col 37}{space 1}   -1.92{col 46}{space 3}0.057{col 54}{space 4}-.1135635{col 67}{space 3} .0016871
{txt}c_tfull_b_~l {c |}{col 14}{res}{space 2} .0029132{col 26}{space 2}  .038816{col 37}{space 1}    0.08{col 46}{space 3}0.940{col 54}{space 4}-.0736631{col 67}{space 3} .0794894
{txt}c_tfull_b_~s {c |}{col 14}{res}{space 2}  .014223{col 26}{space 2} .0540938{col 37}{space 1}    0.26{col 46}{space 3}0.793{col 54}{space 4}-.0924932{col 67}{space 3} .1209392
{txt}c_tfull_b_~d {c |}{col 14}{res}{space 2}-.0090924{col 26}{space 2} .0266171{col 37}{space 1}   -0.34{col 46}{space 3}0.733{col 54}{space 4}-.0616027{col 67}{space 3} .0434179
{txt}c_tfull_ed~r {c |}{col 14}{res}{space 2} .0031544{col 26}{space 2} .0018384{col 37}{space 1}    1.72{col 46}{space 3}0.088{col 54}{space 4}-.0004724{col 67}{space 3} .0067812
{txt}c_tfull_b_~x {c |}{col 14}{res}{space 2} .0006674{col 26}{space 2} .0074343{col 37}{space 1}    0.09{col 46}{space 3}0.929{col 54}{space 4} -.013999{col 67}{space 3} .0153338
{txt}{space 7}_cons {c |}{col 14}{res}{space 2}-.0020586{col 26}{space 2} .0179785{col 37}{space 1}   -0.11{col 46}{space 3}0.909{col 54}{space 4}-.0375267{col 67}{space 3} .0334095
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull = .065{p_end}

{txt}       F(  1,   186) ={res}    0.23
{txt}{col 13}Prob > F ={res}    0.6321

{p 0 7}{space 1}{text:( 1)}{space 1} treatfull = -.065{p_end}

{txt}       F(  1,   186) ={res}   34.12
{txt}{col 13}Prob > F ={res}    0.0000
{txt}note: b_patsat_z_d omitted because of collinearity
{res}
{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}     7,288
{txt}{col 49}F({res}   8{txt},{res}    186{txt}){col 67}= {res}     14.25
{txt}{col 49}Prob > F{col 67}= {res}    0.0000
{txt}{col 49}R-squared{col 67}= {res}    0.0394
{txt}{col 49}Adj R-squared{col 67}= {res}    0.0363
{txt}{col 49}Root MSE{col 67}= {res}    0.5869

{txt}{ralign 78:(Std. Err. adjusted for {res:187} clusters in hc_id)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}  e_patsat_z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2} .0766279{col 26}{space 2} .0242478{col 37}{space 1}    3.16{col 46}{space 3}0.002{col 54}{space 4} .0287919{col 67}{space 3}  .124464
{txt}{space 2}b_patsat_z {c |}{col 14}{res}{space 2} .1391849{col 26}{space 2} .0151653{col 37}{space 1}    9.18{col 46}{space 3}0.000{col 54}{space 4} .1092669{col 67}{space 3}  .169103
{txt}b_patsat_z_d {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 1}c_tfull_hc2 {c |}{col 14}{res}{space 2}-.0559382{col 26}{space 2} .0292099{col 37}{space 1}   -1.92{col 46}{space 3}0.057{col 54}{space 4}-.1135635{col 67}{space 3} .0016871
{txt}c_tfull_b_~l {c |}{col 14}{res}{space 2} .0029132{col 26}{space 2}  .038816{col 37}{space 1}    0.08{col 46}{space 3}0.940{col 54}{space 4}-.0736631{col 67}{space 3} .0794894
{txt}c_tfull_b_~s {c |}{col 14}{res}{space 2}  .014223{col 26}{space 2} .0540938{col 37}{space 1}    0.26{col 46}{space 3}0.793{col 54}{space 4}-.0924932{col 67}{space 3} .1209392
{txt}c_tfull_b_~d {c |}{col 14}{res}{space 2}-.0090924{col 26}{space 2} .0266171{col 37}{space 1}   -0.34{col 46}{space 3}0.733{col 54}{space 4}-.0616027{col 67}{space 3} .0434179
{txt}c_tfull_ed~r {c |}{col 14}{res}{space 2} .0031544{col 26}{space 2} .0018384{col 37}{space 1}    1.72{col 46}{space 3}0.088{col 54}{space 4}-.0004724{col 67}{space 3} .0067812
{txt}c_tfull_b_~x {c |}{col 14}{res}{space 2} .0006674{col 26}{space 2} .0074343{col 37}{space 1}    0.09{col 46}{space 3}0.929{col 54}{space 4} -.013999{col 67}{space 3} .0153338
{txt}{space 7}_cons {c |}{col 14}{res}{space 2}-.0020586{col 26}{space 2} .0179785{col 37}{space 1}   -0.11{col 46}{space 3}0.909{col 54}{space 4}-.0375267{col 67}{space 3} .0334095
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull = .066{p_end}

{txt}       F(  1,   186) ={res}    0.19
{txt}{col 13}Prob > F ={res}    0.6617

{p 0 7}{space 1}{text:( 1)}{space 1} treatfull = -.066{p_end}

{txt}       F(  1,   186) ={res}   34.60
{txt}{col 13}Prob > F ={res}    0.0000
{txt}note: b_patsat_z_d omitted because of collinearity
{res}
{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}     7,288
{txt}{col 49}F({res}   8{txt},{res}    186{txt}){col 67}= {res}     14.25
{txt}{col 49}Prob > F{col 67}= {res}    0.0000
{txt}{col 49}R-squared{col 67}= {res}    0.0394
{txt}{col 49}Adj R-squared{col 67}= {res}    0.0363
{txt}{col 49}Root MSE{col 67}= {res}    0.5869

{txt}{ralign 78:(Std. Err. adjusted for {res:187} clusters in hc_id)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}  e_patsat_z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2} .0766279{col 26}{space 2} .0242478{col 37}{space 1}    3.16{col 46}{space 3}0.002{col 54}{space 4} .0287919{col 67}{space 3}  .124464
{txt}{space 2}b_patsat_z {c |}{col 14}{res}{space 2} .1391849{col 26}{space 2} .0151653{col 37}{space 1}    9.18{col 46}{space 3}0.000{col 54}{space 4} .1092669{col 67}{space 3}  .169103
{txt}b_patsat_z_d {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 1}c_tfull_hc2 {c |}{col 14}{res}{space 2}-.0559382{col 26}{space 2} .0292099{col 37}{space 1}   -1.92{col 46}{space 3}0.057{col 54}{space 4}-.1135635{col 67}{space 3} .0016871
{txt}c_tfull_b_~l {c |}{col 14}{res}{space 2} .0029132{col 26}{space 2}  .038816{col 37}{space 1}    0.08{col 46}{space 3}0.940{col 54}{space 4}-.0736631{col 67}{space 3} .0794894
{txt}c_tfull_b_~s {c |}{col 14}{res}{space 2}  .014223{col 26}{space 2} .0540938{col 37}{space 1}    0.26{col 46}{space 3}0.793{col 54}{space 4}-.0924932{col 67}{space 3} .1209392
{txt}c_tfull_b_~d {c |}{col 14}{res}{space 2}-.0090924{col 26}{space 2} .0266171{col 37}{space 1}   -0.34{col 46}{space 3}0.733{col 54}{space 4}-.0616027{col 67}{space 3} .0434179
{txt}c_tfull_ed~r {c |}{col 14}{res}{space 2} .0031544{col 26}{space 2} .0018384{col 37}{space 1}    1.72{col 46}{space 3}0.088{col 54}{space 4}-.0004724{col 67}{space 3} .0067812
{txt}c_tfull_b_~x {c |}{col 14}{res}{space 2} .0006674{col 26}{space 2} .0074343{col 37}{space 1}    0.09{col 46}{space 3}0.929{col 54}{space 4} -.013999{col 67}{space 3} .0153338
{txt}{space 7}_cons {c |}{col 14}{res}{space 2}-.0020586{col 26}{space 2} .0179785{col 37}{space 1}   -0.11{col 46}{space 3}0.909{col 54}{space 4}-.0375267{col 67}{space 3} .0334095
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull = .067{p_end}

{txt}       F(  1,   186) ={res}    0.16
{txt}{col 13}Prob > F ={res}    0.6918

{p 0 7}{space 1}{text:( 1)}{space 1} treatfull = -.067{p_end}

{txt}       F(  1,   186) ={res}   35.09
{txt}{col 13}Prob > F ={res}    0.0000
{txt}note: b_patsat_z_d omitted because of collinearity
{res}
{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}     7,288
{txt}{col 49}F({res}   8{txt},{res}    186{txt}){col 67}= {res}     14.25
{txt}{col 49}Prob > F{col 67}= {res}    0.0000
{txt}{col 49}R-squared{col 67}= {res}    0.0394
{txt}{col 49}Adj R-squared{col 67}= {res}    0.0363
{txt}{col 49}Root MSE{col 67}= {res}    0.5869

{txt}{ralign 78:(Std. Err. adjusted for {res:187} clusters in hc_id)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}  e_patsat_z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2} .0766279{col 26}{space 2} .0242478{col 37}{space 1}    3.16{col 46}{space 3}0.002{col 54}{space 4} .0287919{col 67}{space 3}  .124464
{txt}{space 2}b_patsat_z {c |}{col 14}{res}{space 2} .1391849{col 26}{space 2} .0151653{col 37}{space 1}    9.18{col 46}{space 3}0.000{col 54}{space 4} .1092669{col 67}{space 3}  .169103
{txt}b_patsat_z_d {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 1}c_tfull_hc2 {c |}{col 14}{res}{space 2}-.0559382{col 26}{space 2} .0292099{col 37}{space 1}   -1.92{col 46}{space 3}0.057{col 54}{space 4}-.1135635{col 67}{space 3} .0016871
{txt}c_tfull_b_~l {c |}{col 14}{res}{space 2} .0029132{col 26}{space 2}  .038816{col 37}{space 1}    0.08{col 46}{space 3}0.940{col 54}{space 4}-.0736631{col 67}{space 3} .0794894
{txt}c_tfull_b_~s {c |}{col 14}{res}{space 2}  .014223{col 26}{space 2} .0540938{col 37}{space 1}    0.26{col 46}{space 3}0.793{col 54}{space 4}-.0924932{col 67}{space 3} .1209392
{txt}c_tfull_b_~d {c |}{col 14}{res}{space 2}-.0090924{col 26}{space 2} .0266171{col 37}{space 1}   -0.34{col 46}{space 3}0.733{col 54}{space 4}-.0616027{col 67}{space 3} .0434179
{txt}c_tfull_ed~r {c |}{col 14}{res}{space 2} .0031544{col 26}{space 2} .0018384{col 37}{space 1}    1.72{col 46}{space 3}0.088{col 54}{space 4}-.0004724{col 67}{space 3} .0067812
{txt}c_tfull_b_~x {c |}{col 14}{res}{space 2} .0006674{col 26}{space 2} .0074343{col 37}{space 1}    0.09{col 46}{space 3}0.929{col 54}{space 4} -.013999{col 67}{space 3} .0153338
{txt}{space 7}_cons {c |}{col 14}{res}{space 2}-.0020586{col 26}{space 2} .0179785{col 37}{space 1}   -0.11{col 46}{space 3}0.909{col 54}{space 4}-.0375267{col 67}{space 3} .0334095
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull = .068{p_end}

{txt}       F(  1,   186) ={res}    0.13
{txt}{col 13}Prob > F ={res}    0.7224

{p 0 7}{space 1}{text:( 1)}{space 1} treatfull = -.068{p_end}

{txt}       F(  1,   186) ={res}   35.58
{txt}{col 13}Prob > F ={res}    0.0000
{txt}note: b_patsat_z_d omitted because of collinearity
{res}
{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}     7,288
{txt}{col 49}F({res}   8{txt},{res}    186{txt}){col 67}= {res}     14.25
{txt}{col 49}Prob > F{col 67}= {res}    0.0000
{txt}{col 49}R-squared{col 67}= {res}    0.0394
{txt}{col 49}Adj R-squared{col 67}= {res}    0.0363
{txt}{col 49}Root MSE{col 67}= {res}    0.5869

{txt}{ralign 78:(Std. Err. adjusted for {res:187} clusters in hc_id)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}  e_patsat_z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2} .0766279{col 26}{space 2} .0242478{col 37}{space 1}    3.16{col 46}{space 3}0.002{col 54}{space 4} .0287919{col 67}{space 3}  .124464
{txt}{space 2}b_patsat_z {c |}{col 14}{res}{space 2} .1391849{col 26}{space 2} .0151653{col 37}{space 1}    9.18{col 46}{space 3}0.000{col 54}{space 4} .1092669{col 67}{space 3}  .169103
{txt}b_patsat_z_d {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 1}c_tfull_hc2 {c |}{col 14}{res}{space 2}-.0559382{col 26}{space 2} .0292099{col 37}{space 1}   -1.92{col 46}{space 3}0.057{col 54}{space 4}-.1135635{col 67}{space 3} .0016871
{txt}c_tfull_b_~l {c |}{col 14}{res}{space 2} .0029132{col 26}{space 2}  .038816{col 37}{space 1}    0.08{col 46}{space 3}0.940{col 54}{space 4}-.0736631{col 67}{space 3} .0794894
{txt}c_tfull_b_~s {c |}{col 14}{res}{space 2}  .014223{col 26}{space 2} .0540938{col 37}{space 1}    0.26{col 46}{space 3}0.793{col 54}{space 4}-.0924932{col 67}{space 3} .1209392
{txt}c_tfull_b_~d {c |}{col 14}{res}{space 2}-.0090924{col 26}{space 2} .0266171{col 37}{space 1}   -0.34{col 46}{space 3}0.733{col 54}{space 4}-.0616027{col 67}{space 3} .0434179
{txt}c_tfull_ed~r {c |}{col 14}{res}{space 2} .0031544{col 26}{space 2} .0018384{col 37}{space 1}    1.72{col 46}{space 3}0.088{col 54}{space 4}-.0004724{col 67}{space 3} .0067812
{txt}c_tfull_b_~x {c |}{col 14}{res}{space 2} .0006674{col 26}{space 2} .0074343{col 37}{space 1}    0.09{col 46}{space 3}0.929{col 54}{space 4} -.013999{col 67}{space 3} .0153338
{txt}{space 7}_cons {c |}{col 14}{res}{space 2}-.0020586{col 26}{space 2} .0179785{col 37}{space 1}   -0.11{col 46}{space 3}0.909{col 54}{space 4}-.0375267{col 67}{space 3} .0334095
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull = .069{p_end}

{txt}       F(  1,   186) ={res}    0.10
{txt}{col 13}Prob > F ={res}    0.7534

{p 0 7}{space 1}{text:( 1)}{space 1} treatfull = -.069{p_end}

{txt}       F(  1,   186) ={res}   36.07
{txt}{col 13}Prob > F ={res}    0.0000
{txt}note: b_patsat_z_d omitted because of collinearity
{res}
{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}     7,288
{txt}{col 49}F({res}   8{txt},{res}    186{txt}){col 67}= {res}     14.25
{txt}{col 49}Prob > F{col 67}= {res}    0.0000
{txt}{col 49}R-squared{col 67}= {res}    0.0394
{txt}{col 49}Adj R-squared{col 67}= {res}    0.0363
{txt}{col 49}Root MSE{col 67}= {res}    0.5869

{txt}{ralign 78:(Std. Err. adjusted for {res:187} clusters in hc_id)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}  e_patsat_z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2} .0766279{col 26}{space 2} .0242478{col 37}{space 1}    3.16{col 46}{space 3}0.002{col 54}{space 4} .0287919{col 67}{space 3}  .124464
{txt}{space 2}b_patsat_z {c |}{col 14}{res}{space 2} .1391849{col 26}{space 2} .0151653{col 37}{space 1}    9.18{col 46}{space 3}0.000{col 54}{space 4} .1092669{col 67}{space 3}  .169103
{txt}b_patsat_z_d {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 1}c_tfull_hc2 {c |}{col 14}{res}{space 2}-.0559382{col 26}{space 2} .0292099{col 37}{space 1}   -1.92{col 46}{space 3}0.057{col 54}{space 4}-.1135635{col 67}{space 3} .0016871
{txt}c_tfull_b_~l {c |}{col 14}{res}{space 2} .0029132{col 26}{space 2}  .038816{col 37}{space 1}    0.08{col 46}{space 3}0.940{col 54}{space 4}-.0736631{col 67}{space 3} .0794894
{txt}c_tfull_b_~s {c |}{col 14}{res}{space 2}  .014223{col 26}{space 2} .0540938{col 37}{space 1}    0.26{col 46}{space 3}0.793{col 54}{space 4}-.0924932{col 67}{space 3} .1209392
{txt}c_tfull_b_~d {c |}{col 14}{res}{space 2}-.0090924{col 26}{space 2} .0266171{col 37}{space 1}   -0.34{col 46}{space 3}0.733{col 54}{space 4}-.0616027{col 67}{space 3} .0434179
{txt}c_tfull_ed~r {c |}{col 14}{res}{space 2} .0031544{col 26}{space 2} .0018384{col 37}{space 1}    1.72{col 46}{space 3}0.088{col 54}{space 4}-.0004724{col 67}{space 3} .0067812
{txt}c_tfull_b_~x {c |}{col 14}{res}{space 2} .0006674{col 26}{space 2} .0074343{col 37}{space 1}    0.09{col 46}{space 3}0.929{col 54}{space 4} -.013999{col 67}{space 3} .0153338
{txt}{space 7}_cons {c |}{col 14}{res}{space 2}-.0020586{col 26}{space 2} .0179785{col 37}{space 1}   -0.11{col 46}{space 3}0.909{col 54}{space 4}-.0375267{col 67}{space 3} .0334095
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull = .07{p_end}

{txt}       F(  1,   186) ={res}    0.07
{txt}{col 13}Prob > F ={res}    0.7849

{p 0 7}{space 1}{text:( 1)}{space 1} treatfull = -.07{p_end}

{txt}       F(  1,   186) ={res}   36.57
{txt}{col 13}Prob > F ={res}    0.0000
{txt}note: b_patsat_z_d omitted because of collinearity
{res}
{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}     7,288
{txt}{col 49}F({res}   8{txt},{res}    186{txt}){col 67}= {res}     14.25
{txt}{col 49}Prob > F{col 67}= {res}    0.0000
{txt}{col 49}R-squared{col 67}= {res}    0.0394
{txt}{col 49}Adj R-squared{col 67}= {res}    0.0363
{txt}{col 49}Root MSE{col 67}= {res}    0.5869

{txt}{ralign 78:(Std. Err. adjusted for {res:187} clusters in hc_id)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}  e_patsat_z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2} .0766279{col 26}{space 2} .0242478{col 37}{space 1}    3.16{col 46}{space 3}0.002{col 54}{space 4} .0287919{col 67}{space 3}  .124464
{txt}{space 2}b_patsat_z {c |}{col 14}{res}{space 2} .1391849{col 26}{space 2} .0151653{col 37}{space 1}    9.18{col 46}{space 3}0.000{col 54}{space 4} .1092669{col 67}{space 3}  .169103
{txt}b_patsat_z_d {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 1}c_tfull_hc2 {c |}{col 14}{res}{space 2}-.0559382{col 26}{space 2} .0292099{col 37}{space 1}   -1.92{col 46}{space 3}0.057{col 54}{space 4}-.1135635{col 67}{space 3} .0016871
{txt}c_tfull_b_~l {c |}{col 14}{res}{space 2} .0029132{col 26}{space 2}  .038816{col 37}{space 1}    0.08{col 46}{space 3}0.940{col 54}{space 4}-.0736631{col 67}{space 3} .0794894
{txt}c_tfull_b_~s {c |}{col 14}{res}{space 2}  .014223{col 26}{space 2} .0540938{col 37}{space 1}    0.26{col 46}{space 3}0.793{col 54}{space 4}-.0924932{col 67}{space 3} .1209392
{txt}c_tfull_b_~d {c |}{col 14}{res}{space 2}-.0090924{col 26}{space 2} .0266171{col 37}{space 1}   -0.34{col 46}{space 3}0.733{col 54}{space 4}-.0616027{col 67}{space 3} .0434179
{txt}c_tfull_ed~r {c |}{col 14}{res}{space 2} .0031544{col 26}{space 2} .0018384{col 37}{space 1}    1.72{col 46}{space 3}0.088{col 54}{space 4}-.0004724{col 67}{space 3} .0067812
{txt}c_tfull_b_~x {c |}{col 14}{res}{space 2} .0006674{col 26}{space 2} .0074343{col 37}{space 1}    0.09{col 46}{space 3}0.929{col 54}{space 4} -.013999{col 67}{space 3} .0153338
{txt}{space 7}_cons {c |}{col 14}{res}{space 2}-.0020586{col 26}{space 2} .0179785{col 37}{space 1}   -0.11{col 46}{space 3}0.909{col 54}{space 4}-.0375267{col 67}{space 3} .0334095
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull = .071{p_end}

{txt}       F(  1,   186) ={res}    0.05
{txt}{col 13}Prob > F ={res}    0.8167

{p 0 7}{space 1}{text:( 1)}{space 1} treatfull = -.071{p_end}

{txt}       F(  1,   186) ={res}   37.07
{txt}{col 13}Prob > F ={res}    0.0000
{txt}note: b_patsat_z_d omitted because of collinearity
{res}
{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}     7,288
{txt}{col 49}F({res}   8{txt},{res}    186{txt}){col 67}= {res}     14.25
{txt}{col 49}Prob > F{col 67}= {res}    0.0000
{txt}{col 49}R-squared{col 67}= {res}    0.0394
{txt}{col 49}Adj R-squared{col 67}= {res}    0.0363
{txt}{col 49}Root MSE{col 67}= {res}    0.5869

{txt}{ralign 78:(Std. Err. adjusted for {res:187} clusters in hc_id)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}  e_patsat_z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2} .0766279{col 26}{space 2} .0242478{col 37}{space 1}    3.16{col 46}{space 3}0.002{col 54}{space 4} .0287919{col 67}{space 3}  .124464
{txt}{space 2}b_patsat_z {c |}{col 14}{res}{space 2} .1391849{col 26}{space 2} .0151653{col 37}{space 1}    9.18{col 46}{space 3}0.000{col 54}{space 4} .1092669{col 67}{space 3}  .169103
{txt}b_patsat_z_d {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 1}c_tfull_hc2 {c |}{col 14}{res}{space 2}-.0559382{col 26}{space 2} .0292099{col 37}{space 1}   -1.92{col 46}{space 3}0.057{col 54}{space 4}-.1135635{col 67}{space 3} .0016871
{txt}c_tfull_b_~l {c |}{col 14}{res}{space 2} .0029132{col 26}{space 2}  .038816{col 37}{space 1}    0.08{col 46}{space 3}0.940{col 54}{space 4}-.0736631{col 67}{space 3} .0794894
{txt}c_tfull_b_~s {c |}{col 14}{res}{space 2}  .014223{col 26}{space 2} .0540938{col 37}{space 1}    0.26{col 46}{space 3}0.793{col 54}{space 4}-.0924932{col 67}{space 3} .1209392
{txt}c_tfull_b_~d {c |}{col 14}{res}{space 2}-.0090924{col 26}{space 2} .0266171{col 37}{space 1}   -0.34{col 46}{space 3}0.733{col 54}{space 4}-.0616027{col 67}{space 3} .0434179
{txt}c_tfull_ed~r {c |}{col 14}{res}{space 2} .0031544{col 26}{space 2} .0018384{col 37}{space 1}    1.72{col 46}{space 3}0.088{col 54}{space 4}-.0004724{col 67}{space 3} .0067812
{txt}c_tfull_b_~x {c |}{col 14}{res}{space 2} .0006674{col 26}{space 2} .0074343{col 37}{space 1}    0.09{col 46}{space 3}0.929{col 54}{space 4} -.013999{col 67}{space 3} .0153338
{txt}{space 7}_cons {c |}{col 14}{res}{space 2}-.0020586{col 26}{space 2} .0179785{col 37}{space 1}   -0.11{col 46}{space 3}0.909{col 54}{space 4}-.0375267{col 67}{space 3} .0334095
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull = .072{p_end}

{txt}       F(  1,   186) ={res}    0.04
{txt}{col 13}Prob > F ={res}    0.8488

{p 0 7}{space 1}{text:( 1)}{space 1} treatfull = -.072{p_end}

{txt}       F(  1,   186) ={res}   37.57
{txt}{col 13}Prob > F ={res}    0.0000
{txt}note: b_patsat_z_d omitted because of collinearity
{res}
{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}     7,288
{txt}{col 49}F({res}   8{txt},{res}    186{txt}){col 67}= {res}     14.25
{txt}{col 49}Prob > F{col 67}= {res}    0.0000
{txt}{col 49}R-squared{col 67}= {res}    0.0394
{txt}{col 49}Adj R-squared{col 67}= {res}    0.0363
{txt}{col 49}Root MSE{col 67}= {res}    0.5869

{txt}{ralign 78:(Std. Err. adjusted for {res:187} clusters in hc_id)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}  e_patsat_z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2} .0766279{col 26}{space 2} .0242478{col 37}{space 1}    3.16{col 46}{space 3}0.002{col 54}{space 4} .0287919{col 67}{space 3}  .124464
{txt}{space 2}b_patsat_z {c |}{col 14}{res}{space 2} .1391849{col 26}{space 2} .0151653{col 37}{space 1}    9.18{col 46}{space 3}0.000{col 54}{space 4} .1092669{col 67}{space 3}  .169103
{txt}b_patsat_z_d {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 1}c_tfull_hc2 {c |}{col 14}{res}{space 2}-.0559382{col 26}{space 2} .0292099{col 37}{space 1}   -1.92{col 46}{space 3}0.057{col 54}{space 4}-.1135635{col 67}{space 3} .0016871
{txt}c_tfull_b_~l {c |}{col 14}{res}{space 2} .0029132{col 26}{space 2}  .038816{col 37}{space 1}    0.08{col 46}{space 3}0.940{col 54}{space 4}-.0736631{col 67}{space 3} .0794894
{txt}c_tfull_b_~s {c |}{col 14}{res}{space 2}  .014223{col 26}{space 2} .0540938{col 37}{space 1}    0.26{col 46}{space 3}0.793{col 54}{space 4}-.0924932{col 67}{space 3} .1209392
{txt}c_tfull_b_~d {c |}{col 14}{res}{space 2}-.0090924{col 26}{space 2} .0266171{col 37}{space 1}   -0.34{col 46}{space 3}0.733{col 54}{space 4}-.0616027{col 67}{space 3} .0434179
{txt}c_tfull_ed~r {c |}{col 14}{res}{space 2} .0031544{col 26}{space 2} .0018384{col 37}{space 1}    1.72{col 46}{space 3}0.088{col 54}{space 4}-.0004724{col 67}{space 3} .0067812
{txt}c_tfull_b_~x {c |}{col 14}{res}{space 2} .0006674{col 26}{space 2} .0074343{col 37}{space 1}    0.09{col 46}{space 3}0.929{col 54}{space 4} -.013999{col 67}{space 3} .0153338
{txt}{space 7}_cons {c |}{col 14}{res}{space 2}-.0020586{col 26}{space 2} .0179785{col 37}{space 1}   -0.11{col 46}{space 3}0.909{col 54}{space 4}-.0375267{col 67}{space 3} .0334095
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull = .073{p_end}

{txt}       F(  1,   186) ={res}    0.02
{txt}{col 13}Prob > F ={res}    0.8812

{p 0 7}{space 1}{text:( 1)}{space 1} treatfull = -.073{p_end}

{txt}       F(  1,   186) ={res}   38.08
{txt}{col 13}Prob > F ={res}    0.0000
{txt}note: b_patsat_z_d omitted because of collinearity
{res}
{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}     7,288
{txt}{col 49}F({res}   8{txt},{res}    186{txt}){col 67}= {res}     14.25
{txt}{col 49}Prob > F{col 67}= {res}    0.0000
{txt}{col 49}R-squared{col 67}= {res}    0.0394
{txt}{col 49}Adj R-squared{col 67}= {res}    0.0363
{txt}{col 49}Root MSE{col 67}= {res}    0.5869

{txt}{ralign 78:(Std. Err. adjusted for {res:187} clusters in hc_id)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}  e_patsat_z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2} .0766279{col 26}{space 2} .0242478{col 37}{space 1}    3.16{col 46}{space 3}0.002{col 54}{space 4} .0287919{col 67}{space 3}  .124464
{txt}{space 2}b_patsat_z {c |}{col 14}{res}{space 2} .1391849{col 26}{space 2} .0151653{col 37}{space 1}    9.18{col 46}{space 3}0.000{col 54}{space 4} .1092669{col 67}{space 3}  .169103
{txt}b_patsat_z_d {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 1}c_tfull_hc2 {c |}{col 14}{res}{space 2}-.0559382{col 26}{space 2} .0292099{col 37}{space 1}   -1.92{col 46}{space 3}0.057{col 54}{space 4}-.1135635{col 67}{space 3} .0016871
{txt}c_tfull_b_~l {c |}{col 14}{res}{space 2} .0029132{col 26}{space 2}  .038816{col 37}{space 1}    0.08{col 46}{space 3}0.940{col 54}{space 4}-.0736631{col 67}{space 3} .0794894
{txt}c_tfull_b_~s {c |}{col 14}{res}{space 2}  .014223{col 26}{space 2} .0540938{col 37}{space 1}    0.26{col 46}{space 3}0.793{col 54}{space 4}-.0924932{col 67}{space 3} .1209392
{txt}c_tfull_b_~d {c |}{col 14}{res}{space 2}-.0090924{col 26}{space 2} .0266171{col 37}{space 1}   -0.34{col 46}{space 3}0.733{col 54}{space 4}-.0616027{col 67}{space 3} .0434179
{txt}c_tfull_ed~r {c |}{col 14}{res}{space 2} .0031544{col 26}{space 2} .0018384{col 37}{space 1}    1.72{col 46}{space 3}0.088{col 54}{space 4}-.0004724{col 67}{space 3} .0067812
{txt}c_tfull_b_~x {c |}{col 14}{res}{space 2} .0006674{col 26}{space 2} .0074343{col 37}{space 1}    0.09{col 46}{space 3}0.929{col 54}{space 4} -.013999{col 67}{space 3} .0153338
{txt}{space 7}_cons {c |}{col 14}{res}{space 2}-.0020586{col 26}{space 2} .0179785{col 37}{space 1}   -0.11{col 46}{space 3}0.909{col 54}{space 4}-.0375267{col 67}{space 3} .0334095
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull = .074{p_end}

{txt}       F(  1,   186) ={res}    0.01
{txt}{col 13}Prob > F ={res}    0.9138

{p 0 7}{space 1}{text:( 1)}{space 1} treatfull = -.074{p_end}

{txt}       F(  1,   186) ={res}   38.59
{txt}{col 13}Prob > F ={res}    0.0000
{txt}note: b_patsat_z_d omitted because of collinearity
{res}
{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}     7,288
{txt}{col 49}F({res}   8{txt},{res}    186{txt}){col 67}= {res}     14.25
{txt}{col 49}Prob > F{col 67}= {res}    0.0000
{txt}{col 49}R-squared{col 67}= {res}    0.0394
{txt}{col 49}Adj R-squared{col 67}= {res}    0.0363
{txt}{col 49}Root MSE{col 67}= {res}    0.5869

{txt}{ralign 78:(Std. Err. adjusted for {res:187} clusters in hc_id)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}  e_patsat_z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2} .0766279{col 26}{space 2} .0242478{col 37}{space 1}    3.16{col 46}{space 3}0.002{col 54}{space 4} .0287919{col 67}{space 3}  .124464
{txt}{space 2}b_patsat_z {c |}{col 14}{res}{space 2} .1391849{col 26}{space 2} .0151653{col 37}{space 1}    9.18{col 46}{space 3}0.000{col 54}{space 4} .1092669{col 67}{space 3}  .169103
{txt}b_patsat_z_d {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 1}c_tfull_hc2 {c |}{col 14}{res}{space 2}-.0559382{col 26}{space 2} .0292099{col 37}{space 1}   -1.92{col 46}{space 3}0.057{col 54}{space 4}-.1135635{col 67}{space 3} .0016871
{txt}c_tfull_b_~l {c |}{col 14}{res}{space 2} .0029132{col 26}{space 2}  .038816{col 37}{space 1}    0.08{col 46}{space 3}0.940{col 54}{space 4}-.0736631{col 67}{space 3} .0794894
{txt}c_tfull_b_~s {c |}{col 14}{res}{space 2}  .014223{col 26}{space 2} .0540938{col 37}{space 1}    0.26{col 46}{space 3}0.793{col 54}{space 4}-.0924932{col 67}{space 3} .1209392
{txt}c_tfull_b_~d {c |}{col 14}{res}{space 2}-.0090924{col 26}{space 2} .0266171{col 37}{space 1}   -0.34{col 46}{space 3}0.733{col 54}{space 4}-.0616027{col 67}{space 3} .0434179
{txt}c_tfull_ed~r {c |}{col 14}{res}{space 2} .0031544{col 26}{space 2} .0018384{col 37}{space 1}    1.72{col 46}{space 3}0.088{col 54}{space 4}-.0004724{col 67}{space 3} .0067812
{txt}c_tfull_b_~x {c |}{col 14}{res}{space 2} .0006674{col 26}{space 2} .0074343{col 37}{space 1}    0.09{col 46}{space 3}0.929{col 54}{space 4} -.013999{col 67}{space 3} .0153338
{txt}{space 7}_cons {c |}{col 14}{res}{space 2}-.0020586{col 26}{space 2} .0179785{col 37}{space 1}   -0.11{col 46}{space 3}0.909{col 54}{space 4}-.0375267{col 67}{space 3} .0334095
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull = .075{p_end}

{txt}       F(  1,   186) ={res}    0.00
{txt}{col 13}Prob > F ={res}    0.9465

{p 0 7}{space 1}{text:( 1)}{space 1} treatfull = -.075{p_end}

{txt}       F(  1,   186) ={res}   39.10
{txt}{col 13}Prob > F ={res}    0.0000
{txt}note: b_patsat_z_d omitted because of collinearity
{res}
{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}     7,288
{txt}{col 49}F({res}   8{txt},{res}    186{txt}){col 67}= {res}     14.25
{txt}{col 49}Prob > F{col 67}= {res}    0.0000
{txt}{col 49}R-squared{col 67}= {res}    0.0394
{txt}{col 49}Adj R-squared{col 67}= {res}    0.0363
{txt}{col 49}Root MSE{col 67}= {res}    0.5869

{txt}{ralign 78:(Std. Err. adjusted for {res:187} clusters in hc_id)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}  e_patsat_z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2} .0766279{col 26}{space 2} .0242478{col 37}{space 1}    3.16{col 46}{space 3}0.002{col 54}{space 4} .0287919{col 67}{space 3}  .124464
{txt}{space 2}b_patsat_z {c |}{col 14}{res}{space 2} .1391849{col 26}{space 2} .0151653{col 37}{space 1}    9.18{col 46}{space 3}0.000{col 54}{space 4} .1092669{col 67}{space 3}  .169103
{txt}b_patsat_z_d {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 1}c_tfull_hc2 {c |}{col 14}{res}{space 2}-.0559382{col 26}{space 2} .0292099{col 37}{space 1}   -1.92{col 46}{space 3}0.057{col 54}{space 4}-.1135635{col 67}{space 3} .0016871
{txt}c_tfull_b_~l {c |}{col 14}{res}{space 2} .0029132{col 26}{space 2}  .038816{col 37}{space 1}    0.08{col 46}{space 3}0.940{col 54}{space 4}-.0736631{col 67}{space 3} .0794894
{txt}c_tfull_b_~s {c |}{col 14}{res}{space 2}  .014223{col 26}{space 2} .0540938{col 37}{space 1}    0.26{col 46}{space 3}0.793{col 54}{space 4}-.0924932{col 67}{space 3} .1209392
{txt}c_tfull_b_~d {c |}{col 14}{res}{space 2}-.0090924{col 26}{space 2} .0266171{col 37}{space 1}   -0.34{col 46}{space 3}0.733{col 54}{space 4}-.0616027{col 67}{space 3} .0434179
{txt}c_tfull_ed~r {c |}{col 14}{res}{space 2} .0031544{col 26}{space 2} .0018384{col 37}{space 1}    1.72{col 46}{space 3}0.088{col 54}{space 4}-.0004724{col 67}{space 3} .0067812
{txt}c_tfull_b_~x {c |}{col 14}{res}{space 2} .0006674{col 26}{space 2} .0074343{col 37}{space 1}    0.09{col 46}{space 3}0.929{col 54}{space 4} -.013999{col 67}{space 3} .0153338
{txt}{space 7}_cons {c |}{col 14}{res}{space 2}-.0020586{col 26}{space 2} .0179785{col 37}{space 1}   -0.11{col 46}{space 3}0.909{col 54}{space 4}-.0375267{col 67}{space 3} .0334095
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull = .076{p_end}

{txt}       F(  1,   186) ={res}    0.00
{txt}{col 13}Prob > F ={res}    0.9794

{p 0 7}{space 1}{text:( 1)}{space 1} treatfull = -.076{p_end}

{txt}       F(  1,   186) ={res}   39.62
{txt}{col 13}Prob > F ={res}    0.0000
{txt}note: b_patsat_z_d omitted because of collinearity
{res}
{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}     7,288
{txt}{col 49}F({res}   8{txt},{res}    186{txt}){col 67}= {res}     14.25
{txt}{col 49}Prob > F{col 67}= {res}    0.0000
{txt}{col 49}R-squared{col 67}= {res}    0.0394
{txt}{col 49}Adj R-squared{col 67}= {res}    0.0363
{txt}{col 49}Root MSE{col 67}= {res}    0.5869

{txt}{ralign 78:(Std. Err. adjusted for {res:187} clusters in hc_id)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}  e_patsat_z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2} .0766279{col 26}{space 2} .0242478{col 37}{space 1}    3.16{col 46}{space 3}0.002{col 54}{space 4} .0287919{col 67}{space 3}  .124464
{txt}{space 2}b_patsat_z {c |}{col 14}{res}{space 2} .1391849{col 26}{space 2} .0151653{col 37}{space 1}    9.18{col 46}{space 3}0.000{col 54}{space 4} .1092669{col 67}{space 3}  .169103
{txt}b_patsat_z_d {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 1}c_tfull_hc2 {c |}{col 14}{res}{space 2}-.0559382{col 26}{space 2} .0292099{col 37}{space 1}   -1.92{col 46}{space 3}0.057{col 54}{space 4}-.1135635{col 67}{space 3} .0016871
{txt}c_tfull_b_~l {c |}{col 14}{res}{space 2} .0029132{col 26}{space 2}  .038816{col 37}{space 1}    0.08{col 46}{space 3}0.940{col 54}{space 4}-.0736631{col 67}{space 3} .0794894
{txt}c_tfull_b_~s {c |}{col 14}{res}{space 2}  .014223{col 26}{space 2} .0540938{col 37}{space 1}    0.26{col 46}{space 3}0.793{col 54}{space 4}-.0924932{col 67}{space 3} .1209392
{txt}c_tfull_b_~d {c |}{col 14}{res}{space 2}-.0090924{col 26}{space 2} .0266171{col 37}{space 1}   -0.34{col 46}{space 3}0.733{col 54}{space 4}-.0616027{col 67}{space 3} .0434179
{txt}c_tfull_ed~r {c |}{col 14}{res}{space 2} .0031544{col 26}{space 2} .0018384{col 37}{space 1}    1.72{col 46}{space 3}0.088{col 54}{space 4}-.0004724{col 67}{space 3} .0067812
{txt}c_tfull_b_~x {c |}{col 14}{res}{space 2} .0006674{col 26}{space 2} .0074343{col 37}{space 1}    0.09{col 46}{space 3}0.929{col 54}{space 4} -.013999{col 67}{space 3} .0153338
{txt}{space 7}_cons {c |}{col 14}{res}{space 2}-.0020586{col 26}{space 2} .0179785{col 37}{space 1}   -0.11{col 46}{space 3}0.909{col 54}{space 4}-.0375267{col 67}{space 3} .0334095
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull = .077{p_end}

{txt}       F(  1,   186) ={res}    0.00
{txt}{col 13}Prob > F ={res}    0.9878

{p 0 7}{space 1}{text:( 1)}{space 1} treatfull = -.077{p_end}

{txt}       F(  1,   186) ={res}   40.14
{txt}{col 13}Prob > F ={res}    0.0000
{txt}note: b_patsat_z_d omitted because of collinearity
{res}
{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}     7,288
{txt}{col 49}F({res}   8{txt},{res}    186{txt}){col 67}= {res}     14.25
{txt}{col 49}Prob > F{col 67}= {res}    0.0000
{txt}{col 49}R-squared{col 67}= {res}    0.0394
{txt}{col 49}Adj R-squared{col 67}= {res}    0.0363
{txt}{col 49}Root MSE{col 67}= {res}    0.5869

{txt}{ralign 78:(Std. Err. adjusted for {res:187} clusters in hc_id)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}  e_patsat_z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2} .0766279{col 26}{space 2} .0242478{col 37}{space 1}    3.16{col 46}{space 3}0.002{col 54}{space 4} .0287919{col 67}{space 3}  .124464
{txt}{space 2}b_patsat_z {c |}{col 14}{res}{space 2} .1391849{col 26}{space 2} .0151653{col 37}{space 1}    9.18{col 46}{space 3}0.000{col 54}{space 4} .1092669{col 67}{space 3}  .169103
{txt}b_patsat_z_d {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 1}c_tfull_hc2 {c |}{col 14}{res}{space 2}-.0559382{col 26}{space 2} .0292099{col 37}{space 1}   -1.92{col 46}{space 3}0.057{col 54}{space 4}-.1135635{col 67}{space 3} .0016871
{txt}c_tfull_b_~l {c |}{col 14}{res}{space 2} .0029132{col 26}{space 2}  .038816{col 37}{space 1}    0.08{col 46}{space 3}0.940{col 54}{space 4}-.0736631{col 67}{space 3} .0794894
{txt}c_tfull_b_~s {c |}{col 14}{res}{space 2}  .014223{col 26}{space 2} .0540938{col 37}{space 1}    0.26{col 46}{space 3}0.793{col 54}{space 4}-.0924932{col 67}{space 3} .1209392
{txt}c_tfull_b_~d {c |}{col 14}{res}{space 2}-.0090924{col 26}{space 2} .0266171{col 37}{space 1}   -0.34{col 46}{space 3}0.733{col 54}{space 4}-.0616027{col 67}{space 3} .0434179
{txt}c_tfull_ed~r {c |}{col 14}{res}{space 2} .0031544{col 26}{space 2} .0018384{col 37}{space 1}    1.72{col 46}{space 3}0.088{col 54}{space 4}-.0004724{col 67}{space 3} .0067812
{txt}c_tfull_b_~x {c |}{col 14}{res}{space 2} .0006674{col 26}{space 2} .0074343{col 37}{space 1}    0.09{col 46}{space 3}0.929{col 54}{space 4} -.013999{col 67}{space 3} .0153338
{txt}{space 7}_cons {c |}{col 14}{res}{space 2}-.0020586{col 26}{space 2} .0179785{col 37}{space 1}   -0.11{col 46}{space 3}0.909{col 54}{space 4}-.0375267{col 67}{space 3} .0334095
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull = .078{p_end}

{txt}       F(  1,   186) ={res}    0.00
{txt}{col 13}Prob > F ={res}    0.9549

{p 0 7}{space 1}{text:( 1)}{space 1} treatfull = -.078{p_end}

{txt}       F(  1,   186) ={res}   40.67
{txt}{col 13}Prob > F ={res}    0.0000
{txt}note: b_patsat_z_d omitted because of collinearity
{res}
{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}     7,288
{txt}{col 49}F({res}   8{txt},{res}    186{txt}){col 67}= {res}     14.25
{txt}{col 49}Prob > F{col 67}= {res}    0.0000
{txt}{col 49}R-squared{col 67}= {res}    0.0394
{txt}{col 49}Adj R-squared{col 67}= {res}    0.0363
{txt}{col 49}Root MSE{col 67}= {res}    0.5869

{txt}{ralign 78:(Std. Err. adjusted for {res:187} clusters in hc_id)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}  e_patsat_z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2} .0766279{col 26}{space 2} .0242478{col 37}{space 1}    3.16{col 46}{space 3}0.002{col 54}{space 4} .0287919{col 67}{space 3}  .124464
{txt}{space 2}b_patsat_z {c |}{col 14}{res}{space 2} .1391849{col 26}{space 2} .0151653{col 37}{space 1}    9.18{col 46}{space 3}0.000{col 54}{space 4} .1092669{col 67}{space 3}  .169103
{txt}b_patsat_z_d {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 1}c_tfull_hc2 {c |}{col 14}{res}{space 2}-.0559382{col 26}{space 2} .0292099{col 37}{space 1}   -1.92{col 46}{space 3}0.057{col 54}{space 4}-.1135635{col 67}{space 3} .0016871
{txt}c_tfull_b_~l {c |}{col 14}{res}{space 2} .0029132{col 26}{space 2}  .038816{col 37}{space 1}    0.08{col 46}{space 3}0.940{col 54}{space 4}-.0736631{col 67}{space 3} .0794894
{txt}c_tfull_b_~s {c |}{col 14}{res}{space 2}  .014223{col 26}{space 2} .0540938{col 37}{space 1}    0.26{col 46}{space 3}0.793{col 54}{space 4}-.0924932{col 67}{space 3} .1209392
{txt}c_tfull_b_~d {c |}{col 14}{res}{space 2}-.0090924{col 26}{space 2} .0266171{col 37}{space 1}   -0.34{col 46}{space 3}0.733{col 54}{space 4}-.0616027{col 67}{space 3} .0434179
{txt}c_tfull_ed~r {c |}{col 14}{res}{space 2} .0031544{col 26}{space 2} .0018384{col 37}{space 1}    1.72{col 46}{space 3}0.088{col 54}{space 4}-.0004724{col 67}{space 3} .0067812
{txt}c_tfull_b_~x {c |}{col 14}{res}{space 2} .0006674{col 26}{space 2} .0074343{col 37}{space 1}    0.09{col 46}{space 3}0.929{col 54}{space 4} -.013999{col 67}{space 3} .0153338
{txt}{space 7}_cons {c |}{col 14}{res}{space 2}-.0020586{col 26}{space 2} .0179785{col 37}{space 1}   -0.11{col 46}{space 3}0.909{col 54}{space 4}-.0375267{col 67}{space 3} .0334095
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull = .079{p_end}

{txt}       F(  1,   186) ={res}    0.01
{txt}{col 13}Prob > F ={res}    0.9222

{p 0 7}{space 1}{text:( 1)}{space 1} treatfull = -.079{p_end}

{txt}       F(  1,   186) ={res}   41.19
{txt}{col 13}Prob > F ={res}    0.0000
{txt}note: b_patsat_z_d omitted because of collinearity
{res}
{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}     7,288
{txt}{col 49}F({res}   8{txt},{res}    186{txt}){col 67}= {res}     14.25
{txt}{col 49}Prob > F{col 67}= {res}    0.0000
{txt}{col 49}R-squared{col 67}= {res}    0.0394
{txt}{col 49}Adj R-squared{col 67}= {res}    0.0363
{txt}{col 49}Root MSE{col 67}= {res}    0.5869

{txt}{ralign 78:(Std. Err. adjusted for {res:187} clusters in hc_id)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}  e_patsat_z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2} .0766279{col 26}{space 2} .0242478{col 37}{space 1}    3.16{col 46}{space 3}0.002{col 54}{space 4} .0287919{col 67}{space 3}  .124464
{txt}{space 2}b_patsat_z {c |}{col 14}{res}{space 2} .1391849{col 26}{space 2} .0151653{col 37}{space 1}    9.18{col 46}{space 3}0.000{col 54}{space 4} .1092669{col 67}{space 3}  .169103
{txt}b_patsat_z_d {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 1}c_tfull_hc2 {c |}{col 14}{res}{space 2}-.0559382{col 26}{space 2} .0292099{col 37}{space 1}   -1.92{col 46}{space 3}0.057{col 54}{space 4}-.1135635{col 67}{space 3} .0016871
{txt}c_tfull_b_~l {c |}{col 14}{res}{space 2} .0029132{col 26}{space 2}  .038816{col 37}{space 1}    0.08{col 46}{space 3}0.940{col 54}{space 4}-.0736631{col 67}{space 3} .0794894
{txt}c_tfull_b_~s {c |}{col 14}{res}{space 2}  .014223{col 26}{space 2} .0540938{col 37}{space 1}    0.26{col 46}{space 3}0.793{col 54}{space 4}-.0924932{col 67}{space 3} .1209392
{txt}c_tfull_b_~d {c |}{col 14}{res}{space 2}-.0090924{col 26}{space 2} .0266171{col 37}{space 1}   -0.34{col 46}{space 3}0.733{col 54}{space 4}-.0616027{col 67}{space 3} .0434179
{txt}c_tfull_ed~r {c |}{col 14}{res}{space 2} .0031544{col 26}{space 2} .0018384{col 37}{space 1}    1.72{col 46}{space 3}0.088{col 54}{space 4}-.0004724{col 67}{space 3} .0067812
{txt}c_tfull_b_~x {c |}{col 14}{res}{space 2} .0006674{col 26}{space 2} .0074343{col 37}{space 1}    0.09{col 46}{space 3}0.929{col 54}{space 4} -.013999{col 67}{space 3} .0153338
{txt}{space 7}_cons {c |}{col 14}{res}{space 2}-.0020586{col 26}{space 2} .0179785{col 37}{space 1}   -0.11{col 46}{space 3}0.909{col 54}{space 4}-.0375267{col 67}{space 3} .0334095
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull = .08{p_end}

{txt}       F(  1,   186) ={res}    0.02
{txt}{col 13}Prob > F ={res}    0.8895

{p 0 7}{space 1}{text:( 1)}{space 1} treatfull = -.08{p_end}

{txt}       F(  1,   186) ={res}   41.72
{txt}{col 13}Prob > F ={res}    0.0000
{txt}note: b_patsat_z_d omitted because of collinearity
{res}
{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}     7,288
{txt}{col 49}F({res}   8{txt},{res}    186{txt}){col 67}= {res}     14.25
{txt}{col 49}Prob > F{col 67}= {res}    0.0000
{txt}{col 49}R-squared{col 67}= {res}    0.0394
{txt}{col 49}Adj R-squared{col 67}= {res}    0.0363
{txt}{col 49}Root MSE{col 67}= {res}    0.5869

{txt}{ralign 78:(Std. Err. adjusted for {res:187} clusters in hc_id)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}  e_patsat_z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2} .0766279{col 26}{space 2} .0242478{col 37}{space 1}    3.16{col 46}{space 3}0.002{col 54}{space 4} .0287919{col 67}{space 3}  .124464
{txt}{space 2}b_patsat_z {c |}{col 14}{res}{space 2} .1391849{col 26}{space 2} .0151653{col 37}{space 1}    9.18{col 46}{space 3}0.000{col 54}{space 4} .1092669{col 67}{space 3}  .169103
{txt}b_patsat_z_d {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 1}c_tfull_hc2 {c |}{col 14}{res}{space 2}-.0559382{col 26}{space 2} .0292099{col 37}{space 1}   -1.92{col 46}{space 3}0.057{col 54}{space 4}-.1135635{col 67}{space 3} .0016871
{txt}c_tfull_b_~l {c |}{col 14}{res}{space 2} .0029132{col 26}{space 2}  .038816{col 37}{space 1}    0.08{col 46}{space 3}0.940{col 54}{space 4}-.0736631{col 67}{space 3} .0794894
{txt}c_tfull_b_~s {c |}{col 14}{res}{space 2}  .014223{col 26}{space 2} .0540938{col 37}{space 1}    0.26{col 46}{space 3}0.793{col 54}{space 4}-.0924932{col 67}{space 3} .1209392
{txt}c_tfull_b_~d {c |}{col 14}{res}{space 2}-.0090924{col 26}{space 2} .0266171{col 37}{space 1}   -0.34{col 46}{space 3}0.733{col 54}{space 4}-.0616027{col 67}{space 3} .0434179
{txt}c_tfull_ed~r {c |}{col 14}{res}{space 2} .0031544{col 26}{space 2} .0018384{col 37}{space 1}    1.72{col 46}{space 3}0.088{col 54}{space 4}-.0004724{col 67}{space 3} .0067812
{txt}c_tfull_b_~x {c |}{col 14}{res}{space 2} .0006674{col 26}{space 2} .0074343{col 37}{space 1}    0.09{col 46}{space 3}0.929{col 54}{space 4} -.013999{col 67}{space 3} .0153338
{txt}{space 7}_cons {c |}{col 14}{res}{space 2}-.0020586{col 26}{space 2} .0179785{col 37}{space 1}   -0.11{col 46}{space 3}0.909{col 54}{space 4}-.0375267{col 67}{space 3} .0334095
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull = .081{p_end}

{txt}       F(  1,   186) ={res}    0.03
{txt}{col 13}Prob > F ={res}    0.8571

{p 0 7}{space 1}{text:( 1)}{space 1} treatfull = -.081{p_end}

{txt}       F(  1,   186) ={res}   42.26
{txt}{col 13}Prob > F ={res}    0.0000
{txt}note: b_patsat_z_d omitted because of collinearity
{res}
{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}     7,288
{txt}{col 49}F({res}   8{txt},{res}    186{txt}){col 67}= {res}     14.25
{txt}{col 49}Prob > F{col 67}= {res}    0.0000
{txt}{col 49}R-squared{col 67}= {res}    0.0394
{txt}{col 49}Adj R-squared{col 67}= {res}    0.0363
{txt}{col 49}Root MSE{col 67}= {res}    0.5869

{txt}{ralign 78:(Std. Err. adjusted for {res:187} clusters in hc_id)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}  e_patsat_z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2} .0766279{col 26}{space 2} .0242478{col 37}{space 1}    3.16{col 46}{space 3}0.002{col 54}{space 4} .0287919{col 67}{space 3}  .124464
{txt}{space 2}b_patsat_z {c |}{col 14}{res}{space 2} .1391849{col 26}{space 2} .0151653{col 37}{space 1}    9.18{col 46}{space 3}0.000{col 54}{space 4} .1092669{col 67}{space 3}  .169103
{txt}b_patsat_z_d {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 1}c_tfull_hc2 {c |}{col 14}{res}{space 2}-.0559382{col 26}{space 2} .0292099{col 37}{space 1}   -1.92{col 46}{space 3}0.057{col 54}{space 4}-.1135635{col 67}{space 3} .0016871
{txt}c_tfull_b_~l {c |}{col 14}{res}{space 2} .0029132{col 26}{space 2}  .038816{col 37}{space 1}    0.08{col 46}{space 3}0.940{col 54}{space 4}-.0736631{col 67}{space 3} .0794894
{txt}c_tfull_b_~s {c |}{col 14}{res}{space 2}  .014223{col 26}{space 2} .0540938{col 37}{space 1}    0.26{col 46}{space 3}0.793{col 54}{space 4}-.0924932{col 67}{space 3} .1209392
{txt}c_tfull_b_~d {c |}{col 14}{res}{space 2}-.0090924{col 26}{space 2} .0266171{col 37}{space 1}   -0.34{col 46}{space 3}0.733{col 54}{space 4}-.0616027{col 67}{space 3} .0434179
{txt}c_tfull_ed~r {c |}{col 14}{res}{space 2} .0031544{col 26}{space 2} .0018384{col 37}{space 1}    1.72{col 46}{space 3}0.088{col 54}{space 4}-.0004724{col 67}{space 3} .0067812
{txt}c_tfull_b_~x {c |}{col 14}{res}{space 2} .0006674{col 26}{space 2} .0074343{col 37}{space 1}    0.09{col 46}{space 3}0.929{col 54}{space 4} -.013999{col 67}{space 3} .0153338
{txt}{space 7}_cons {c |}{col 14}{res}{space 2}-.0020586{col 26}{space 2} .0179785{col 37}{space 1}   -0.11{col 46}{space 3}0.909{col 54}{space 4}-.0375267{col 67}{space 3} .0334095
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull = .082{p_end}

{txt}       F(  1,   186) ={res}    0.05
{txt}{col 13}Prob > F ={res}    0.8249

{p 0 7}{space 1}{text:( 1)}{space 1} treatfull = -.082{p_end}

{txt}       F(  1,   186) ={res}   42.80
{txt}{col 13}Prob > F ={res}    0.0000
{txt}note: b_patsat_z_d omitted because of collinearity
{res}
{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}     7,288
{txt}{col 49}F({res}   8{txt},{res}    186{txt}){col 67}= {res}     14.25
{txt}{col 49}Prob > F{col 67}= {res}    0.0000
{txt}{col 49}R-squared{col 67}= {res}    0.0394
{txt}{col 49}Adj R-squared{col 67}= {res}    0.0363
{txt}{col 49}Root MSE{col 67}= {res}    0.5869

{txt}{ralign 78:(Std. Err. adjusted for {res:187} clusters in hc_id)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}  e_patsat_z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2} .0766279{col 26}{space 2} .0242478{col 37}{space 1}    3.16{col 46}{space 3}0.002{col 54}{space 4} .0287919{col 67}{space 3}  .124464
{txt}{space 2}b_patsat_z {c |}{col 14}{res}{space 2} .1391849{col 26}{space 2} .0151653{col 37}{space 1}    9.18{col 46}{space 3}0.000{col 54}{space 4} .1092669{col 67}{space 3}  .169103
{txt}b_patsat_z_d {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 1}c_tfull_hc2 {c |}{col 14}{res}{space 2}-.0559382{col 26}{space 2} .0292099{col 37}{space 1}   -1.92{col 46}{space 3}0.057{col 54}{space 4}-.1135635{col 67}{space 3} .0016871
{txt}c_tfull_b_~l {c |}{col 14}{res}{space 2} .0029132{col 26}{space 2}  .038816{col 37}{space 1}    0.08{col 46}{space 3}0.940{col 54}{space 4}-.0736631{col 67}{space 3} .0794894
{txt}c_tfull_b_~s {c |}{col 14}{res}{space 2}  .014223{col 26}{space 2} .0540938{col 37}{space 1}    0.26{col 46}{space 3}0.793{col 54}{space 4}-.0924932{col 67}{space 3} .1209392
{txt}c_tfull_b_~d {c |}{col 14}{res}{space 2}-.0090924{col 26}{space 2} .0266171{col 37}{space 1}   -0.34{col 46}{space 3}0.733{col 54}{space 4}-.0616027{col 67}{space 3} .0434179
{txt}c_tfull_ed~r {c |}{col 14}{res}{space 2} .0031544{col 26}{space 2} .0018384{col 37}{space 1}    1.72{col 46}{space 3}0.088{col 54}{space 4}-.0004724{col 67}{space 3} .0067812
{txt}c_tfull_b_~x {c |}{col 14}{res}{space 2} .0006674{col 26}{space 2} .0074343{col 37}{space 1}    0.09{col 46}{space 3}0.929{col 54}{space 4} -.013999{col 67}{space 3} .0153338
{txt}{space 7}_cons {c |}{col 14}{res}{space 2}-.0020586{col 26}{space 2} .0179785{col 37}{space 1}   -0.11{col 46}{space 3}0.909{col 54}{space 4}-.0375267{col 67}{space 3} .0334095
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull = .083{p_end}

{txt}       F(  1,   186) ={res}    0.07
{txt}{col 13}Prob > F ={res}    0.7930

{p 0 7}{space 1}{text:( 1)}{space 1} treatfull = -.083{p_end}

{txt}       F(  1,   186) ={res}   43.34
{txt}{col 13}Prob > F ={res}    0.0000
{txt}note: b_patsat_z_d omitted because of collinearity
{res}
{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}     7,288
{txt}{col 49}F({res}   8{txt},{res}    186{txt}){col 67}= {res}     14.25
{txt}{col 49}Prob > F{col 67}= {res}    0.0000
{txt}{col 49}R-squared{col 67}= {res}    0.0394
{txt}{col 49}Adj R-squared{col 67}= {res}    0.0363
{txt}{col 49}Root MSE{col 67}= {res}    0.5869

{txt}{ralign 78:(Std. Err. adjusted for {res:187} clusters in hc_id)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}  e_patsat_z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2} .0766279{col 26}{space 2} .0242478{col 37}{space 1}    3.16{col 46}{space 3}0.002{col 54}{space 4} .0287919{col 67}{space 3}  .124464
{txt}{space 2}b_patsat_z {c |}{col 14}{res}{space 2} .1391849{col 26}{space 2} .0151653{col 37}{space 1}    9.18{col 46}{space 3}0.000{col 54}{space 4} .1092669{col 67}{space 3}  .169103
{txt}b_patsat_z_d {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 1}c_tfull_hc2 {c |}{col 14}{res}{space 2}-.0559382{col 26}{space 2} .0292099{col 37}{space 1}   -1.92{col 46}{space 3}0.057{col 54}{space 4}-.1135635{col 67}{space 3} .0016871
{txt}c_tfull_b_~l {c |}{col 14}{res}{space 2} .0029132{col 26}{space 2}  .038816{col 37}{space 1}    0.08{col 46}{space 3}0.940{col 54}{space 4}-.0736631{col 67}{space 3} .0794894
{txt}c_tfull_b_~s {c |}{col 14}{res}{space 2}  .014223{col 26}{space 2} .0540938{col 37}{space 1}    0.26{col 46}{space 3}0.793{col 54}{space 4}-.0924932{col 67}{space 3} .1209392
{txt}c_tfull_b_~d {c |}{col 14}{res}{space 2}-.0090924{col 26}{space 2} .0266171{col 37}{space 1}   -0.34{col 46}{space 3}0.733{col 54}{space 4}-.0616027{col 67}{space 3} .0434179
{txt}c_tfull_ed~r {c |}{col 14}{res}{space 2} .0031544{col 26}{space 2} .0018384{col 37}{space 1}    1.72{col 46}{space 3}0.088{col 54}{space 4}-.0004724{col 67}{space 3} .0067812
{txt}c_tfull_b_~x {c |}{col 14}{res}{space 2} .0006674{col 26}{space 2} .0074343{col 37}{space 1}    0.09{col 46}{space 3}0.929{col 54}{space 4} -.013999{col 67}{space 3} .0153338
{txt}{space 7}_cons {c |}{col 14}{res}{space 2}-.0020586{col 26}{space 2} .0179785{col 37}{space 1}   -0.11{col 46}{space 3}0.909{col 54}{space 4}-.0375267{col 67}{space 3} .0334095
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull = .084{p_end}

{txt}       F(  1,   186) ={res}    0.09
{txt}{col 13}Prob > F ={res}    0.7614

{p 0 7}{space 1}{text:( 1)}{space 1} treatfull = -.084{p_end}

{txt}       F(  1,   186) ={res}   43.88
{txt}{col 13}Prob > F ={res}    0.0000
{txt}note: b_patsat_z_d omitted because of collinearity
{res}
{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}     7,288
{txt}{col 49}F({res}   8{txt},{res}    186{txt}){col 67}= {res}     14.25
{txt}{col 49}Prob > F{col 67}= {res}    0.0000
{txt}{col 49}R-squared{col 67}= {res}    0.0394
{txt}{col 49}Adj R-squared{col 67}= {res}    0.0363
{txt}{col 49}Root MSE{col 67}= {res}    0.5869

{txt}{ralign 78:(Std. Err. adjusted for {res:187} clusters in hc_id)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}  e_patsat_z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2} .0766279{col 26}{space 2} .0242478{col 37}{space 1}    3.16{col 46}{space 3}0.002{col 54}{space 4} .0287919{col 67}{space 3}  .124464
{txt}{space 2}b_patsat_z {c |}{col 14}{res}{space 2} .1391849{col 26}{space 2} .0151653{col 37}{space 1}    9.18{col 46}{space 3}0.000{col 54}{space 4} .1092669{col 67}{space 3}  .169103
{txt}b_patsat_z_d {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 1}c_tfull_hc2 {c |}{col 14}{res}{space 2}-.0559382{col 26}{space 2} .0292099{col 37}{space 1}   -1.92{col 46}{space 3}0.057{col 54}{space 4}-.1135635{col 67}{space 3} .0016871
{txt}c_tfull_b_~l {c |}{col 14}{res}{space 2} .0029132{col 26}{space 2}  .038816{col 37}{space 1}    0.08{col 46}{space 3}0.940{col 54}{space 4}-.0736631{col 67}{space 3} .0794894
{txt}c_tfull_b_~s {c |}{col 14}{res}{space 2}  .014223{col 26}{space 2} .0540938{col 37}{space 1}    0.26{col 46}{space 3}0.793{col 54}{space 4}-.0924932{col 67}{space 3} .1209392
{txt}c_tfull_b_~d {c |}{col 14}{res}{space 2}-.0090924{col 26}{space 2} .0266171{col 37}{space 1}   -0.34{col 46}{space 3}0.733{col 54}{space 4}-.0616027{col 67}{space 3} .0434179
{txt}c_tfull_ed~r {c |}{col 14}{res}{space 2} .0031544{col 26}{space 2} .0018384{col 37}{space 1}    1.72{col 46}{space 3}0.088{col 54}{space 4}-.0004724{col 67}{space 3} .0067812
{txt}c_tfull_b_~x {c |}{col 14}{res}{space 2} .0006674{col 26}{space 2} .0074343{col 37}{space 1}    0.09{col 46}{space 3}0.929{col 54}{space 4} -.013999{col 67}{space 3} .0153338
{txt}{space 7}_cons {c |}{col 14}{res}{space 2}-.0020586{col 26}{space 2} .0179785{col 37}{space 1}   -0.11{col 46}{space 3}0.909{col 54}{space 4}-.0375267{col 67}{space 3} .0334095
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull = .085{p_end}

{txt}       F(  1,   186) ={res}    0.12
{txt}{col 13}Prob > F ={res}    0.7303

{p 0 7}{space 1}{text:( 1)}{space 1} treatfull = -.085{p_end}

{txt}       F(  1,   186) ={res}   44.43
{txt}{col 13}Prob > F ={res}    0.0000
{txt}note: b_patsat_z_d omitted because of collinearity
{res}
{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}     7,288
{txt}{col 49}F({res}   8{txt},{res}    186{txt}){col 67}= {res}     14.25
{txt}{col 49}Prob > F{col 67}= {res}    0.0000
{txt}{col 49}R-squared{col 67}= {res}    0.0394
{txt}{col 49}Adj R-squared{col 67}= {res}    0.0363
{txt}{col 49}Root MSE{col 67}= {res}    0.5869

{txt}{ralign 78:(Std. Err. adjusted for {res:187} clusters in hc_id)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}  e_patsat_z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2} .0766279{col 26}{space 2} .0242478{col 37}{space 1}    3.16{col 46}{space 3}0.002{col 54}{space 4} .0287919{col 67}{space 3}  .124464
{txt}{space 2}b_patsat_z {c |}{col 14}{res}{space 2} .1391849{col 26}{space 2} .0151653{col 37}{space 1}    9.18{col 46}{space 3}0.000{col 54}{space 4} .1092669{col 67}{space 3}  .169103
{txt}b_patsat_z_d {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 1}c_tfull_hc2 {c |}{col 14}{res}{space 2}-.0559382{col 26}{space 2} .0292099{col 37}{space 1}   -1.92{col 46}{space 3}0.057{col 54}{space 4}-.1135635{col 67}{space 3} .0016871
{txt}c_tfull_b_~l {c |}{col 14}{res}{space 2} .0029132{col 26}{space 2}  .038816{col 37}{space 1}    0.08{col 46}{space 3}0.940{col 54}{space 4}-.0736631{col 67}{space 3} .0794894
{txt}c_tfull_b_~s {c |}{col 14}{res}{space 2}  .014223{col 26}{space 2} .0540938{col 37}{space 1}    0.26{col 46}{space 3}0.793{col 54}{space 4}-.0924932{col 67}{space 3} .1209392
{txt}c_tfull_b_~d {c |}{col 14}{res}{space 2}-.0090924{col 26}{space 2} .0266171{col 37}{space 1}   -0.34{col 46}{space 3}0.733{col 54}{space 4}-.0616027{col 67}{space 3} .0434179
{txt}c_tfull_ed~r {c |}{col 14}{res}{space 2} .0031544{col 26}{space 2} .0018384{col 37}{space 1}    1.72{col 46}{space 3}0.088{col 54}{space 4}-.0004724{col 67}{space 3} .0067812
{txt}c_tfull_b_~x {c |}{col 14}{res}{space 2} .0006674{col 26}{space 2} .0074343{col 37}{space 1}    0.09{col 46}{space 3}0.929{col 54}{space 4} -.013999{col 67}{space 3} .0153338
{txt}{space 7}_cons {c |}{col 14}{res}{space 2}-.0020586{col 26}{space 2} .0179785{col 37}{space 1}   -0.11{col 46}{space 3}0.909{col 54}{space 4}-.0375267{col 67}{space 3} .0334095
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull = .086{p_end}

{txt}       F(  1,   186) ={res}    0.15
{txt}{col 13}Prob > F ={res}    0.6996

{p 0 7}{space 1}{text:( 1)}{space 1} treatfull = -.086{p_end}

{txt}       F(  1,   186) ={res}   44.98
{txt}{col 13}Prob > F ={res}    0.0000
{txt}note: b_patsat_z_d omitted because of collinearity
{res}
{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}     7,288
{txt}{col 49}F({res}   8{txt},{res}    186{txt}){col 67}= {res}     14.25
{txt}{col 49}Prob > F{col 67}= {res}    0.0000
{txt}{col 49}R-squared{col 67}= {res}    0.0394
{txt}{col 49}Adj R-squared{col 67}= {res}    0.0363
{txt}{col 49}Root MSE{col 67}= {res}    0.5869

{txt}{ralign 78:(Std. Err. adjusted for {res:187} clusters in hc_id)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}  e_patsat_z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2} .0766279{col 26}{space 2} .0242478{col 37}{space 1}    3.16{col 46}{space 3}0.002{col 54}{space 4} .0287919{col 67}{space 3}  .124464
{txt}{space 2}b_patsat_z {c |}{col 14}{res}{space 2} .1391849{col 26}{space 2} .0151653{col 37}{space 1}    9.18{col 46}{space 3}0.000{col 54}{space 4} .1092669{col 67}{space 3}  .169103
{txt}b_patsat_z_d {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 1}c_tfull_hc2 {c |}{col 14}{res}{space 2}-.0559382{col 26}{space 2} .0292099{col 37}{space 1}   -1.92{col 46}{space 3}0.057{col 54}{space 4}-.1135635{col 67}{space 3} .0016871
{txt}c_tfull_b_~l {c |}{col 14}{res}{space 2} .0029132{col 26}{space 2}  .038816{col 37}{space 1}    0.08{col 46}{space 3}0.940{col 54}{space 4}-.0736631{col 67}{space 3} .0794894
{txt}c_tfull_b_~s {c |}{col 14}{res}{space 2}  .014223{col 26}{space 2} .0540938{col 37}{space 1}    0.26{col 46}{space 3}0.793{col 54}{space 4}-.0924932{col 67}{space 3} .1209392
{txt}c_tfull_b_~d {c |}{col 14}{res}{space 2}-.0090924{col 26}{space 2} .0266171{col 37}{space 1}   -0.34{col 46}{space 3}0.733{col 54}{space 4}-.0616027{col 67}{space 3} .0434179
{txt}c_tfull_ed~r {c |}{col 14}{res}{space 2} .0031544{col 26}{space 2} .0018384{col 37}{space 1}    1.72{col 46}{space 3}0.088{col 54}{space 4}-.0004724{col 67}{space 3} .0067812
{txt}c_tfull_b_~x {c |}{col 14}{res}{space 2} .0006674{col 26}{space 2} .0074343{col 37}{space 1}    0.09{col 46}{space 3}0.929{col 54}{space 4} -.013999{col 67}{space 3} .0153338
{txt}{space 7}_cons {c |}{col 14}{res}{space 2}-.0020586{col 26}{space 2} .0179785{col 37}{space 1}   -0.11{col 46}{space 3}0.909{col 54}{space 4}-.0375267{col 67}{space 3} .0334095
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull = .087{p_end}

{txt}       F(  1,   186) ={res}    0.18
{txt}{col 13}Prob > F ={res}    0.6693

{p 0 7}{space 1}{text:( 1)}{space 1} treatfull = -.087{p_end}

{txt}       F(  1,   186) ={res}   45.54
{txt}{col 13}Prob > F ={res}    0.0000
{txt}note: b_patsat_z_d omitted because of collinearity
{res}
{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}     7,288
{txt}{col 49}F({res}   8{txt},{res}    186{txt}){col 67}= {res}     14.25
{txt}{col 49}Prob > F{col 67}= {res}    0.0000
{txt}{col 49}R-squared{col 67}= {res}    0.0394
{txt}{col 49}Adj R-squared{col 67}= {res}    0.0363
{txt}{col 49}Root MSE{col 67}= {res}    0.5869

{txt}{ralign 78:(Std. Err. adjusted for {res:187} clusters in hc_id)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}  e_patsat_z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2} .0766279{col 26}{space 2} .0242478{col 37}{space 1}    3.16{col 46}{space 3}0.002{col 54}{space 4} .0287919{col 67}{space 3}  .124464
{txt}{space 2}b_patsat_z {c |}{col 14}{res}{space 2} .1391849{col 26}{space 2} .0151653{col 37}{space 1}    9.18{col 46}{space 3}0.000{col 54}{space 4} .1092669{col 67}{space 3}  .169103
{txt}b_patsat_z_d {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 1}c_tfull_hc2 {c |}{col 14}{res}{space 2}-.0559382{col 26}{space 2} .0292099{col 37}{space 1}   -1.92{col 46}{space 3}0.057{col 54}{space 4}-.1135635{col 67}{space 3} .0016871
{txt}c_tfull_b_~l {c |}{col 14}{res}{space 2} .0029132{col 26}{space 2}  .038816{col 37}{space 1}    0.08{col 46}{space 3}0.940{col 54}{space 4}-.0736631{col 67}{space 3} .0794894
{txt}c_tfull_b_~s {c |}{col 14}{res}{space 2}  .014223{col 26}{space 2} .0540938{col 37}{space 1}    0.26{col 46}{space 3}0.793{col 54}{space 4}-.0924932{col 67}{space 3} .1209392
{txt}c_tfull_b_~d {c |}{col 14}{res}{space 2}-.0090924{col 26}{space 2} .0266171{col 37}{space 1}   -0.34{col 46}{space 3}0.733{col 54}{space 4}-.0616027{col 67}{space 3} .0434179
{txt}c_tfull_ed~r {c |}{col 14}{res}{space 2} .0031544{col 26}{space 2} .0018384{col 37}{space 1}    1.72{col 46}{space 3}0.088{col 54}{space 4}-.0004724{col 67}{space 3} .0067812
{txt}c_tfull_b_~x {c |}{col 14}{res}{space 2} .0006674{col 26}{space 2} .0074343{col 37}{space 1}    0.09{col 46}{space 3}0.929{col 54}{space 4} -.013999{col 67}{space 3} .0153338
{txt}{space 7}_cons {c |}{col 14}{res}{space 2}-.0020586{col 26}{space 2} .0179785{col 37}{space 1}   -0.11{col 46}{space 3}0.909{col 54}{space 4}-.0375267{col 67}{space 3} .0334095
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull = .088{p_end}

{txt}       F(  1,   186) ={res}    0.22
{txt}{col 13}Prob > F ={res}    0.6396

{p 0 7}{space 1}{text:( 1)}{space 1} treatfull = -.088{p_end}

{txt}       F(  1,   186) ={res}   46.10
{txt}{col 13}Prob > F ={res}    0.0000
{txt}note: b_patsat_z_d omitted because of collinearity
{res}
{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}     7,288
{txt}{col 49}F({res}   8{txt},{res}    186{txt}){col 67}= {res}     14.25
{txt}{col 49}Prob > F{col 67}= {res}    0.0000
{txt}{col 49}R-squared{col 67}= {res}    0.0394
{txt}{col 49}Adj R-squared{col 67}= {res}    0.0363
{txt}{col 49}Root MSE{col 67}= {res}    0.5869

{txt}{ralign 78:(Std. Err. adjusted for {res:187} clusters in hc_id)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}  e_patsat_z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2} .0766279{col 26}{space 2} .0242478{col 37}{space 1}    3.16{col 46}{space 3}0.002{col 54}{space 4} .0287919{col 67}{space 3}  .124464
{txt}{space 2}b_patsat_z {c |}{col 14}{res}{space 2} .1391849{col 26}{space 2} .0151653{col 37}{space 1}    9.18{col 46}{space 3}0.000{col 54}{space 4} .1092669{col 67}{space 3}  .169103
{txt}b_patsat_z_d {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 1}c_tfull_hc2 {c |}{col 14}{res}{space 2}-.0559382{col 26}{space 2} .0292099{col 37}{space 1}   -1.92{col 46}{space 3}0.057{col 54}{space 4}-.1135635{col 67}{space 3} .0016871
{txt}c_tfull_b_~l {c |}{col 14}{res}{space 2} .0029132{col 26}{space 2}  .038816{col 37}{space 1}    0.08{col 46}{space 3}0.940{col 54}{space 4}-.0736631{col 67}{space 3} .0794894
{txt}c_tfull_b_~s {c |}{col 14}{res}{space 2}  .014223{col 26}{space 2} .0540938{col 37}{space 1}    0.26{col 46}{space 3}0.793{col 54}{space 4}-.0924932{col 67}{space 3} .1209392
{txt}c_tfull_b_~d {c |}{col 14}{res}{space 2}-.0090924{col 26}{space 2} .0266171{col 37}{space 1}   -0.34{col 46}{space 3}0.733{col 54}{space 4}-.0616027{col 67}{space 3} .0434179
{txt}c_tfull_ed~r {c |}{col 14}{res}{space 2} .0031544{col 26}{space 2} .0018384{col 37}{space 1}    1.72{col 46}{space 3}0.088{col 54}{space 4}-.0004724{col 67}{space 3} .0067812
{txt}c_tfull_b_~x {c |}{col 14}{res}{space 2} .0006674{col 26}{space 2} .0074343{col 37}{space 1}    0.09{col 46}{space 3}0.929{col 54}{space 4} -.013999{col 67}{space 3} .0153338
{txt}{space 7}_cons {c |}{col 14}{res}{space 2}-.0020586{col 26}{space 2} .0179785{col 37}{space 1}   -0.11{col 46}{space 3}0.909{col 54}{space 4}-.0375267{col 67}{space 3} .0334095
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull = .089{p_end}

{txt}       F(  1,   186) ={res}    0.26
{txt}{col 13}Prob > F ={res}    0.6105

{p 0 7}{space 1}{text:( 1)}{space 1} treatfull = -.089{p_end}

{txt}       F(  1,   186) ={res}   46.66
{txt}{col 13}Prob > F ={res}    0.0000
{txt}note: b_patsat_z_d omitted because of collinearity
{res}
{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}     7,288
{txt}{col 49}F({res}   8{txt},{res}    186{txt}){col 67}= {res}     14.25
{txt}{col 49}Prob > F{col 67}= {res}    0.0000
{txt}{col 49}R-squared{col 67}= {res}    0.0394
{txt}{col 49}Adj R-squared{col 67}= {res}    0.0363
{txt}{col 49}Root MSE{col 67}= {res}    0.5869

{txt}{ralign 78:(Std. Err. adjusted for {res:187} clusters in hc_id)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}  e_patsat_z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2} .0766279{col 26}{space 2} .0242478{col 37}{space 1}    3.16{col 46}{space 3}0.002{col 54}{space 4} .0287919{col 67}{space 3}  .124464
{txt}{space 2}b_patsat_z {c |}{col 14}{res}{space 2} .1391849{col 26}{space 2} .0151653{col 37}{space 1}    9.18{col 46}{space 3}0.000{col 54}{space 4} .1092669{col 67}{space 3}  .169103
{txt}b_patsat_z_d {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 1}c_tfull_hc2 {c |}{col 14}{res}{space 2}-.0559382{col 26}{space 2} .0292099{col 37}{space 1}   -1.92{col 46}{space 3}0.057{col 54}{space 4}-.1135635{col 67}{space 3} .0016871
{txt}c_tfull_b_~l {c |}{col 14}{res}{space 2} .0029132{col 26}{space 2}  .038816{col 37}{space 1}    0.08{col 46}{space 3}0.940{col 54}{space 4}-.0736631{col 67}{space 3} .0794894
{txt}c_tfull_b_~s {c |}{col 14}{res}{space 2}  .014223{col 26}{space 2} .0540938{col 37}{space 1}    0.26{col 46}{space 3}0.793{col 54}{space 4}-.0924932{col 67}{space 3} .1209392
{txt}c_tfull_b_~d {c |}{col 14}{res}{space 2}-.0090924{col 26}{space 2} .0266171{col 37}{space 1}   -0.34{col 46}{space 3}0.733{col 54}{space 4}-.0616027{col 67}{space 3} .0434179
{txt}c_tfull_ed~r {c |}{col 14}{res}{space 2} .0031544{col 26}{space 2} .0018384{col 37}{space 1}    1.72{col 46}{space 3}0.088{col 54}{space 4}-.0004724{col 67}{space 3} .0067812
{txt}c_tfull_b_~x {c |}{col 14}{res}{space 2} .0006674{col 26}{space 2} .0074343{col 37}{space 1}    0.09{col 46}{space 3}0.929{col 54}{space 4} -.013999{col 67}{space 3} .0153338
{txt}{space 7}_cons {c |}{col 14}{res}{space 2}-.0020586{col 26}{space 2} .0179785{col 37}{space 1}   -0.11{col 46}{space 3}0.909{col 54}{space 4}-.0375267{col 67}{space 3} .0334095
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull = .09{p_end}

{txt}       F(  1,   186) ={res}    0.30
{txt}{col 13}Prob > F ={res}    0.5820

{p 0 7}{space 1}{text:( 1)}{space 1} treatfull = -.09{p_end}

{txt}       F(  1,   186) ={res}   47.22
{txt}{col 13}Prob > F ={res}    0.0000
{txt}note: b_patsat_z_d omitted because of collinearity
{res}
{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}     7,288
{txt}{col 49}F({res}   8{txt},{res}    186{txt}){col 67}= {res}     14.25
{txt}{col 49}Prob > F{col 67}= {res}    0.0000
{txt}{col 49}R-squared{col 67}= {res}    0.0394
{txt}{col 49}Adj R-squared{col 67}= {res}    0.0363
{txt}{col 49}Root MSE{col 67}= {res}    0.5869

{txt}{ralign 78:(Std. Err. adjusted for {res:187} clusters in hc_id)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}  e_patsat_z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2} .0766279{col 26}{space 2} .0242478{col 37}{space 1}    3.16{col 46}{space 3}0.002{col 54}{space 4} .0287919{col 67}{space 3}  .124464
{txt}{space 2}b_patsat_z {c |}{col 14}{res}{space 2} .1391849{col 26}{space 2} .0151653{col 37}{space 1}    9.18{col 46}{space 3}0.000{col 54}{space 4} .1092669{col 67}{space 3}  .169103
{txt}b_patsat_z_d {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 1}c_tfull_hc2 {c |}{col 14}{res}{space 2}-.0559382{col 26}{space 2} .0292099{col 37}{space 1}   -1.92{col 46}{space 3}0.057{col 54}{space 4}-.1135635{col 67}{space 3} .0016871
{txt}c_tfull_b_~l {c |}{col 14}{res}{space 2} .0029132{col 26}{space 2}  .038816{col 37}{space 1}    0.08{col 46}{space 3}0.940{col 54}{space 4}-.0736631{col 67}{space 3} .0794894
{txt}c_tfull_b_~s {c |}{col 14}{res}{space 2}  .014223{col 26}{space 2} .0540938{col 37}{space 1}    0.26{col 46}{space 3}0.793{col 54}{space 4}-.0924932{col 67}{space 3} .1209392
{txt}c_tfull_b_~d {c |}{col 14}{res}{space 2}-.0090924{col 26}{space 2} .0266171{col 37}{space 1}   -0.34{col 46}{space 3}0.733{col 54}{space 4}-.0616027{col 67}{space 3} .0434179
{txt}c_tfull_ed~r {c |}{col 14}{res}{space 2} .0031544{col 26}{space 2} .0018384{col 37}{space 1}    1.72{col 46}{space 3}0.088{col 54}{space 4}-.0004724{col 67}{space 3} .0067812
{txt}c_tfull_b_~x {c |}{col 14}{res}{space 2} .0006674{col 26}{space 2} .0074343{col 37}{space 1}    0.09{col 46}{space 3}0.929{col 54}{space 4} -.013999{col 67}{space 3} .0153338
{txt}{space 7}_cons {c |}{col 14}{res}{space 2}-.0020586{col 26}{space 2} .0179785{col 37}{space 1}   -0.11{col 46}{space 3}0.909{col 54}{space 4}-.0375267{col 67}{space 3} .0334095
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull = .091{p_end}

{txt}       F(  1,   186) ={res}    0.35
{txt}{col 13}Prob > F ={res}    0.5541

{p 0 7}{space 1}{text:( 1)}{space 1} treatfull = -.091{p_end}

{txt}       F(  1,   186) ={res}   47.79
{txt}{col 13}Prob > F ={res}    0.0000
{txt}note: b_patsat_z_d omitted because of collinearity
{res}
{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}     7,288
{txt}{col 49}F({res}   8{txt},{res}    186{txt}){col 67}= {res}     14.25
{txt}{col 49}Prob > F{col 67}= {res}    0.0000
{txt}{col 49}R-squared{col 67}= {res}    0.0394
{txt}{col 49}Adj R-squared{col 67}= {res}    0.0363
{txt}{col 49}Root MSE{col 67}= {res}    0.5869

{txt}{ralign 78:(Std. Err. adjusted for {res:187} clusters in hc_id)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}  e_patsat_z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2} .0766279{col 26}{space 2} .0242478{col 37}{space 1}    3.16{col 46}{space 3}0.002{col 54}{space 4} .0287919{col 67}{space 3}  .124464
{txt}{space 2}b_patsat_z {c |}{col 14}{res}{space 2} .1391849{col 26}{space 2} .0151653{col 37}{space 1}    9.18{col 46}{space 3}0.000{col 54}{space 4} .1092669{col 67}{space 3}  .169103
{txt}b_patsat_z_d {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 1}c_tfull_hc2 {c |}{col 14}{res}{space 2}-.0559382{col 26}{space 2} .0292099{col 37}{space 1}   -1.92{col 46}{space 3}0.057{col 54}{space 4}-.1135635{col 67}{space 3} .0016871
{txt}c_tfull_b_~l {c |}{col 14}{res}{space 2} .0029132{col 26}{space 2}  .038816{col 37}{space 1}    0.08{col 46}{space 3}0.940{col 54}{space 4}-.0736631{col 67}{space 3} .0794894
{txt}c_tfull_b_~s {c |}{col 14}{res}{space 2}  .014223{col 26}{space 2} .0540938{col 37}{space 1}    0.26{col 46}{space 3}0.793{col 54}{space 4}-.0924932{col 67}{space 3} .1209392
{txt}c_tfull_b_~d {c |}{col 14}{res}{space 2}-.0090924{col 26}{space 2} .0266171{col 37}{space 1}   -0.34{col 46}{space 3}0.733{col 54}{space 4}-.0616027{col 67}{space 3} .0434179
{txt}c_tfull_ed~r {c |}{col 14}{res}{space 2} .0031544{col 26}{space 2} .0018384{col 37}{space 1}    1.72{col 46}{space 3}0.088{col 54}{space 4}-.0004724{col 67}{space 3} .0067812
{txt}c_tfull_b_~x {c |}{col 14}{res}{space 2} .0006674{col 26}{space 2} .0074343{col 37}{space 1}    0.09{col 46}{space 3}0.929{col 54}{space 4} -.013999{col 67}{space 3} .0153338
{txt}{space 7}_cons {c |}{col 14}{res}{space 2}-.0020586{col 26}{space 2} .0179785{col 37}{space 1}   -0.11{col 46}{space 3}0.909{col 54}{space 4}-.0375267{col 67}{space 3} .0334095
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull = .092{p_end}

{txt}       F(  1,   186) ={res}    0.40
{txt}{col 13}Prob > F ={res}    0.5269

{p 0 7}{space 1}{text:( 1)}{space 1} treatfull = -.092{p_end}

{txt}       F(  1,   186) ={res}   48.36
{txt}{col 13}Prob > F ={res}    0.0000
{txt}note: b_patsat_z_d omitted because of collinearity
{res}
{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}     7,288
{txt}{col 49}F({res}   8{txt},{res}    186{txt}){col 67}= {res}     14.25
{txt}{col 49}Prob > F{col 67}= {res}    0.0000
{txt}{col 49}R-squared{col 67}= {res}    0.0394
{txt}{col 49}Adj R-squared{col 67}= {res}    0.0363
{txt}{col 49}Root MSE{col 67}= {res}    0.5869

{txt}{ralign 78:(Std. Err. adjusted for {res:187} clusters in hc_id)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}  e_patsat_z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2} .0766279{col 26}{space 2} .0242478{col 37}{space 1}    3.16{col 46}{space 3}0.002{col 54}{space 4} .0287919{col 67}{space 3}  .124464
{txt}{space 2}b_patsat_z {c |}{col 14}{res}{space 2} .1391849{col 26}{space 2} .0151653{col 37}{space 1}    9.18{col 46}{space 3}0.000{col 54}{space 4} .1092669{col 67}{space 3}  .169103
{txt}b_patsat_z_d {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 1}c_tfull_hc2 {c |}{col 14}{res}{space 2}-.0559382{col 26}{space 2} .0292099{col 37}{space 1}   -1.92{col 46}{space 3}0.057{col 54}{space 4}-.1135635{col 67}{space 3} .0016871
{txt}c_tfull_b_~l {c |}{col 14}{res}{space 2} .0029132{col 26}{space 2}  .038816{col 37}{space 1}    0.08{col 46}{space 3}0.940{col 54}{space 4}-.0736631{col 67}{space 3} .0794894
{txt}c_tfull_b_~s {c |}{col 14}{res}{space 2}  .014223{col 26}{space 2} .0540938{col 37}{space 1}    0.26{col 46}{space 3}0.793{col 54}{space 4}-.0924932{col 67}{space 3} .1209392
{txt}c_tfull_b_~d {c |}{col 14}{res}{space 2}-.0090924{col 26}{space 2} .0266171{col 37}{space 1}   -0.34{col 46}{space 3}0.733{col 54}{space 4}-.0616027{col 67}{space 3} .0434179
{txt}c_tfull_ed~r {c |}{col 14}{res}{space 2} .0031544{col 26}{space 2} .0018384{col 37}{space 1}    1.72{col 46}{space 3}0.088{col 54}{space 4}-.0004724{col 67}{space 3} .0067812
{txt}c_tfull_b_~x {c |}{col 14}{res}{space 2} .0006674{col 26}{space 2} .0074343{col 37}{space 1}    0.09{col 46}{space 3}0.929{col 54}{space 4} -.013999{col 67}{space 3} .0153338
{txt}{space 7}_cons {c |}{col 14}{res}{space 2}-.0020586{col 26}{space 2} .0179785{col 37}{space 1}   -0.11{col 46}{space 3}0.909{col 54}{space 4}-.0375267{col 67}{space 3} .0334095
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull = .093{p_end}

{txt}       F(  1,   186) ={res}    0.46
{txt}{col 13}Prob > F ={res}    0.5004

{p 0 7}{space 1}{text:( 1)}{space 1} treatfull = -.093{p_end}

{txt}       F(  1,   186) ={res}   48.94
{txt}{col 13}Prob > F ={res}    0.0000
{txt}note: b_patsat_z_d omitted because of collinearity
{res}
{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}     7,288
{txt}{col 49}F({res}   8{txt},{res}    186{txt}){col 67}= {res}     14.25
{txt}{col 49}Prob > F{col 67}= {res}    0.0000
{txt}{col 49}R-squared{col 67}= {res}    0.0394
{txt}{col 49}Adj R-squared{col 67}= {res}    0.0363
{txt}{col 49}Root MSE{col 67}= {res}    0.5869

{txt}{ralign 78:(Std. Err. adjusted for {res:187} clusters in hc_id)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}  e_patsat_z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2} .0766279{col 26}{space 2} .0242478{col 37}{space 1}    3.16{col 46}{space 3}0.002{col 54}{space 4} .0287919{col 67}{space 3}  .124464
{txt}{space 2}b_patsat_z {c |}{col 14}{res}{space 2} .1391849{col 26}{space 2} .0151653{col 37}{space 1}    9.18{col 46}{space 3}0.000{col 54}{space 4} .1092669{col 67}{space 3}  .169103
{txt}b_patsat_z_d {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 1}c_tfull_hc2 {c |}{col 14}{res}{space 2}-.0559382{col 26}{space 2} .0292099{col 37}{space 1}   -1.92{col 46}{space 3}0.057{col 54}{space 4}-.1135635{col 67}{space 3} .0016871
{txt}c_tfull_b_~l {c |}{col 14}{res}{space 2} .0029132{col 26}{space 2}  .038816{col 37}{space 1}    0.08{col 46}{space 3}0.940{col 54}{space 4}-.0736631{col 67}{space 3} .0794894
{txt}c_tfull_b_~s {c |}{col 14}{res}{space 2}  .014223{col 26}{space 2} .0540938{col 37}{space 1}    0.26{col 46}{space 3}0.793{col 54}{space 4}-.0924932{col 67}{space 3} .1209392
{txt}c_tfull_b_~d {c |}{col 14}{res}{space 2}-.0090924{col 26}{space 2} .0266171{col 37}{space 1}   -0.34{col 46}{space 3}0.733{col 54}{space 4}-.0616027{col 67}{space 3} .0434179
{txt}c_tfull_ed~r {c |}{col 14}{res}{space 2} .0031544{col 26}{space 2} .0018384{col 37}{space 1}    1.72{col 46}{space 3}0.088{col 54}{space 4}-.0004724{col 67}{space 3} .0067812
{txt}c_tfull_b_~x {c |}{col 14}{res}{space 2} .0006674{col 26}{space 2} .0074343{col 37}{space 1}    0.09{col 46}{space 3}0.929{col 54}{space 4} -.013999{col 67}{space 3} .0153338
{txt}{space 7}_cons {c |}{col 14}{res}{space 2}-.0020586{col 26}{space 2} .0179785{col 37}{space 1}   -0.11{col 46}{space 3}0.909{col 54}{space 4}-.0375267{col 67}{space 3} .0334095
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull = .094{p_end}

{txt}       F(  1,   186) ={res}    0.51
{txt}{col 13}Prob > F ={res}    0.4746

{p 0 7}{space 1}{text:( 1)}{space 1} treatfull = -.094{p_end}

{txt}       F(  1,   186) ={res}   49.52
{txt}{col 13}Prob > F ={res}    0.0000
{txt}note: b_patsat_z_d omitted because of collinearity
{res}
{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}     7,288
{txt}{col 49}F({res}   8{txt},{res}    186{txt}){col 67}= {res}     14.25
{txt}{col 49}Prob > F{col 67}= {res}    0.0000
{txt}{col 49}R-squared{col 67}= {res}    0.0394
{txt}{col 49}Adj R-squared{col 67}= {res}    0.0363
{txt}{col 49}Root MSE{col 67}= {res}    0.5869

{txt}{ralign 78:(Std. Err. adjusted for {res:187} clusters in hc_id)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}  e_patsat_z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2} .0766279{col 26}{space 2} .0242478{col 37}{space 1}    3.16{col 46}{space 3}0.002{col 54}{space 4} .0287919{col 67}{space 3}  .124464
{txt}{space 2}b_patsat_z {c |}{col 14}{res}{space 2} .1391849{col 26}{space 2} .0151653{col 37}{space 1}    9.18{col 46}{space 3}0.000{col 54}{space 4} .1092669{col 67}{space 3}  .169103
{txt}b_patsat_z_d {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 1}c_tfull_hc2 {c |}{col 14}{res}{space 2}-.0559382{col 26}{space 2} .0292099{col 37}{space 1}   -1.92{col 46}{space 3}0.057{col 54}{space 4}-.1135635{col 67}{space 3} .0016871
{txt}c_tfull_b_~l {c |}{col 14}{res}{space 2} .0029132{col 26}{space 2}  .038816{col 37}{space 1}    0.08{col 46}{space 3}0.940{col 54}{space 4}-.0736631{col 67}{space 3} .0794894
{txt}c_tfull_b_~s {c |}{col 14}{res}{space 2}  .014223{col 26}{space 2} .0540938{col 37}{space 1}    0.26{col 46}{space 3}0.793{col 54}{space 4}-.0924932{col 67}{space 3} .1209392
{txt}c_tfull_b_~d {c |}{col 14}{res}{space 2}-.0090924{col 26}{space 2} .0266171{col 37}{space 1}   -0.34{col 46}{space 3}0.733{col 54}{space 4}-.0616027{col 67}{space 3} .0434179
{txt}c_tfull_ed~r {c |}{col 14}{res}{space 2} .0031544{col 26}{space 2} .0018384{col 37}{space 1}    1.72{col 46}{space 3}0.088{col 54}{space 4}-.0004724{col 67}{space 3} .0067812
{txt}c_tfull_b_~x {c |}{col 14}{res}{space 2} .0006674{col 26}{space 2} .0074343{col 37}{space 1}    0.09{col 46}{space 3}0.929{col 54}{space 4} -.013999{col 67}{space 3} .0153338
{txt}{space 7}_cons {c |}{col 14}{res}{space 2}-.0020586{col 26}{space 2} .0179785{col 37}{space 1}   -0.11{col 46}{space 3}0.909{col 54}{space 4}-.0375267{col 67}{space 3} .0334095
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull = .095{p_end}

{txt}       F(  1,   186) ={res}    0.57
{txt}{col 13}Prob > F ={res}    0.4496

{p 0 7}{space 1}{text:( 1)}{space 1} treatfull = -.095{p_end}

{txt}       F(  1,   186) ={res}   50.10
{txt}{col 13}Prob > F ={res}    0.0000
{txt}note: b_patsat_z_d omitted because of collinearity
{res}
{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}     7,288
{txt}{col 49}F({res}   8{txt},{res}    186{txt}){col 67}= {res}     14.25
{txt}{col 49}Prob > F{col 67}= {res}    0.0000
{txt}{col 49}R-squared{col 67}= {res}    0.0394
{txt}{col 49}Adj R-squared{col 67}= {res}    0.0363
{txt}{col 49}Root MSE{col 67}= {res}    0.5869

{txt}{ralign 78:(Std. Err. adjusted for {res:187} clusters in hc_id)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}  e_patsat_z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2} .0766279{col 26}{space 2} .0242478{col 37}{space 1}    3.16{col 46}{space 3}0.002{col 54}{space 4} .0287919{col 67}{space 3}  .124464
{txt}{space 2}b_patsat_z {c |}{col 14}{res}{space 2} .1391849{col 26}{space 2} .0151653{col 37}{space 1}    9.18{col 46}{space 3}0.000{col 54}{space 4} .1092669{col 67}{space 3}  .169103
{txt}b_patsat_z_d {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 1}c_tfull_hc2 {c |}{col 14}{res}{space 2}-.0559382{col 26}{space 2} .0292099{col 37}{space 1}   -1.92{col 46}{space 3}0.057{col 54}{space 4}-.1135635{col 67}{space 3} .0016871
{txt}c_tfull_b_~l {c |}{col 14}{res}{space 2} .0029132{col 26}{space 2}  .038816{col 37}{space 1}    0.08{col 46}{space 3}0.940{col 54}{space 4}-.0736631{col 67}{space 3} .0794894
{txt}c_tfull_b_~s {c |}{col 14}{res}{space 2}  .014223{col 26}{space 2} .0540938{col 37}{space 1}    0.26{col 46}{space 3}0.793{col 54}{space 4}-.0924932{col 67}{space 3} .1209392
{txt}c_tfull_b_~d {c |}{col 14}{res}{space 2}-.0090924{col 26}{space 2} .0266171{col 37}{space 1}   -0.34{col 46}{space 3}0.733{col 54}{space 4}-.0616027{col 67}{space 3} .0434179
{txt}c_tfull_ed~r {c |}{col 14}{res}{space 2} .0031544{col 26}{space 2} .0018384{col 37}{space 1}    1.72{col 46}{space 3}0.088{col 54}{space 4}-.0004724{col 67}{space 3} .0067812
{txt}c_tfull_b_~x {c |}{col 14}{res}{space 2} .0006674{col 26}{space 2} .0074343{col 37}{space 1}    0.09{col 46}{space 3}0.929{col 54}{space 4} -.013999{col 67}{space 3} .0153338
{txt}{space 7}_cons {c |}{col 14}{res}{space 2}-.0020586{col 26}{space 2} .0179785{col 37}{space 1}   -0.11{col 46}{space 3}0.909{col 54}{space 4}-.0375267{col 67}{space 3} .0334095
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull = .096{p_end}

{txt}       F(  1,   186) ={res}    0.64
{txt}{col 13}Prob > F ={res}    0.4254

{p 0 7}{space 1}{text:( 1)}{space 1} treatfull = -.096{p_end}

{txt}       F(  1,   186) ={res}   50.68
{txt}{col 13}Prob > F ={res}    0.0000
{txt}note: b_patsat_z_d omitted because of collinearity
{res}
{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}     7,288
{txt}{col 49}F({res}   8{txt},{res}    186{txt}){col 67}= {res}     14.25
{txt}{col 49}Prob > F{col 67}= {res}    0.0000
{txt}{col 49}R-squared{col 67}= {res}    0.0394
{txt}{col 49}Adj R-squared{col 67}= {res}    0.0363
{txt}{col 49}Root MSE{col 67}= {res}    0.5869

{txt}{ralign 78:(Std. Err. adjusted for {res:187} clusters in hc_id)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}  e_patsat_z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2} .0766279{col 26}{space 2} .0242478{col 37}{space 1}    3.16{col 46}{space 3}0.002{col 54}{space 4} .0287919{col 67}{space 3}  .124464
{txt}{space 2}b_patsat_z {c |}{col 14}{res}{space 2} .1391849{col 26}{space 2} .0151653{col 37}{space 1}    9.18{col 46}{space 3}0.000{col 54}{space 4} .1092669{col 67}{space 3}  .169103
{txt}b_patsat_z_d {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 1}c_tfull_hc2 {c |}{col 14}{res}{space 2}-.0559382{col 26}{space 2} .0292099{col 37}{space 1}   -1.92{col 46}{space 3}0.057{col 54}{space 4}-.1135635{col 67}{space 3} .0016871
{txt}c_tfull_b_~l {c |}{col 14}{res}{space 2} .0029132{col 26}{space 2}  .038816{col 37}{space 1}    0.08{col 46}{space 3}0.940{col 54}{space 4}-.0736631{col 67}{space 3} .0794894
{txt}c_tfull_b_~s {c |}{col 14}{res}{space 2}  .014223{col 26}{space 2} .0540938{col 37}{space 1}    0.26{col 46}{space 3}0.793{col 54}{space 4}-.0924932{col 67}{space 3} .1209392
{txt}c_tfull_b_~d {c |}{col 14}{res}{space 2}-.0090924{col 26}{space 2} .0266171{col 37}{space 1}   -0.34{col 46}{space 3}0.733{col 54}{space 4}-.0616027{col 67}{space 3} .0434179
{txt}c_tfull_ed~r {c |}{col 14}{res}{space 2} .0031544{col 26}{space 2} .0018384{col 37}{space 1}    1.72{col 46}{space 3}0.088{col 54}{space 4}-.0004724{col 67}{space 3} .0067812
{txt}c_tfull_b_~x {c |}{col 14}{res}{space 2} .0006674{col 26}{space 2} .0074343{col 37}{space 1}    0.09{col 46}{space 3}0.929{col 54}{space 4} -.013999{col 67}{space 3} .0153338
{txt}{space 7}_cons {c |}{col 14}{res}{space 2}-.0020586{col 26}{space 2} .0179785{col 37}{space 1}   -0.11{col 46}{space 3}0.909{col 54}{space 4}-.0375267{col 67}{space 3} .0334095
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull = .097{p_end}

{txt}       F(  1,   186) ={res}    0.71
{txt}{col 13}Prob > F ={res}    0.4019

{p 0 7}{space 1}{text:( 1)}{space 1} treatfull = -.097{p_end}

{txt}       F(  1,   186) ={res}   51.27
{txt}{col 13}Prob > F ={res}    0.0000
{txt}note: b_patsat_z_d omitted because of collinearity
{res}
{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}     7,288
{txt}{col 49}F({res}   8{txt},{res}    186{txt}){col 67}= {res}     14.25
{txt}{col 49}Prob > F{col 67}= {res}    0.0000
{txt}{col 49}R-squared{col 67}= {res}    0.0394
{txt}{col 49}Adj R-squared{col 67}= {res}    0.0363
{txt}{col 49}Root MSE{col 67}= {res}    0.5869

{txt}{ralign 78:(Std. Err. adjusted for {res:187} clusters in hc_id)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}  e_patsat_z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2} .0766279{col 26}{space 2} .0242478{col 37}{space 1}    3.16{col 46}{space 3}0.002{col 54}{space 4} .0287919{col 67}{space 3}  .124464
{txt}{space 2}b_patsat_z {c |}{col 14}{res}{space 2} .1391849{col 26}{space 2} .0151653{col 37}{space 1}    9.18{col 46}{space 3}0.000{col 54}{space 4} .1092669{col 67}{space 3}  .169103
{txt}b_patsat_z_d {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 1}c_tfull_hc2 {c |}{col 14}{res}{space 2}-.0559382{col 26}{space 2} .0292099{col 37}{space 1}   -1.92{col 46}{space 3}0.057{col 54}{space 4}-.1135635{col 67}{space 3} .0016871
{txt}c_tfull_b_~l {c |}{col 14}{res}{space 2} .0029132{col 26}{space 2}  .038816{col 37}{space 1}    0.08{col 46}{space 3}0.940{col 54}{space 4}-.0736631{col 67}{space 3} .0794894
{txt}c_tfull_b_~s {c |}{col 14}{res}{space 2}  .014223{col 26}{space 2} .0540938{col 37}{space 1}    0.26{col 46}{space 3}0.793{col 54}{space 4}-.0924932{col 67}{space 3} .1209392
{txt}c_tfull_b_~d {c |}{col 14}{res}{space 2}-.0090924{col 26}{space 2} .0266171{col 37}{space 1}   -0.34{col 46}{space 3}0.733{col 54}{space 4}-.0616027{col 67}{space 3} .0434179
{txt}c_tfull_ed~r {c |}{col 14}{res}{space 2} .0031544{col 26}{space 2} .0018384{col 37}{space 1}    1.72{col 46}{space 3}0.088{col 54}{space 4}-.0004724{col 67}{space 3} .0067812
{txt}c_tfull_b_~x {c |}{col 14}{res}{space 2} .0006674{col 26}{space 2} .0074343{col 37}{space 1}    0.09{col 46}{space 3}0.929{col 54}{space 4} -.013999{col 67}{space 3} .0153338
{txt}{space 7}_cons {c |}{col 14}{res}{space 2}-.0020586{col 26}{space 2} .0179785{col 37}{space 1}   -0.11{col 46}{space 3}0.909{col 54}{space 4}-.0375267{col 67}{space 3} .0334095
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull = .098{p_end}

{txt}       F(  1,   186) ={res}    0.78
{txt}{col 13}Prob > F ={res}    0.3792

{p 0 7}{space 1}{text:( 1)}{space 1} treatfull = -.098{p_end}

{txt}       F(  1,   186) ={res}   51.87
{txt}{col 13}Prob > F ={res}    0.0000
{txt}note: b_patsat_z_d omitted because of collinearity
{res}
{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}     7,288
{txt}{col 49}F({res}   8{txt},{res}    186{txt}){col 67}= {res}     14.25
{txt}{col 49}Prob > F{col 67}= {res}    0.0000
{txt}{col 49}R-squared{col 67}= {res}    0.0394
{txt}{col 49}Adj R-squared{col 67}= {res}    0.0363
{txt}{col 49}Root MSE{col 67}= {res}    0.5869

{txt}{ralign 78:(Std. Err. adjusted for {res:187} clusters in hc_id)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}  e_patsat_z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2} .0766279{col 26}{space 2} .0242478{col 37}{space 1}    3.16{col 46}{space 3}0.002{col 54}{space 4} .0287919{col 67}{space 3}  .124464
{txt}{space 2}b_patsat_z {c |}{col 14}{res}{space 2} .1391849{col 26}{space 2} .0151653{col 37}{space 1}    9.18{col 46}{space 3}0.000{col 54}{space 4} .1092669{col 67}{space 3}  .169103
{txt}b_patsat_z_d {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 1}c_tfull_hc2 {c |}{col 14}{res}{space 2}-.0559382{col 26}{space 2} .0292099{col 37}{space 1}   -1.92{col 46}{space 3}0.057{col 54}{space 4}-.1135635{col 67}{space 3} .0016871
{txt}c_tfull_b_~l {c |}{col 14}{res}{space 2} .0029132{col 26}{space 2}  .038816{col 37}{space 1}    0.08{col 46}{space 3}0.940{col 54}{space 4}-.0736631{col 67}{space 3} .0794894
{txt}c_tfull_b_~s {c |}{col 14}{res}{space 2}  .014223{col 26}{space 2} .0540938{col 37}{space 1}    0.26{col 46}{space 3}0.793{col 54}{space 4}-.0924932{col 67}{space 3} .1209392
{txt}c_tfull_b_~d {c |}{col 14}{res}{space 2}-.0090924{col 26}{space 2} .0266171{col 37}{space 1}   -0.34{col 46}{space 3}0.733{col 54}{space 4}-.0616027{col 67}{space 3} .0434179
{txt}c_tfull_ed~r {c |}{col 14}{res}{space 2} .0031544{col 26}{space 2} .0018384{col 37}{space 1}    1.72{col 46}{space 3}0.088{col 54}{space 4}-.0004724{col 67}{space 3} .0067812
{txt}c_tfull_b_~x {c |}{col 14}{res}{space 2} .0006674{col 26}{space 2} .0074343{col 37}{space 1}    0.09{col 46}{space 3}0.929{col 54}{space 4} -.013999{col 67}{space 3} .0153338
{txt}{space 7}_cons {c |}{col 14}{res}{space 2}-.0020586{col 26}{space 2} .0179785{col 37}{space 1}   -0.11{col 46}{space 3}0.909{col 54}{space 4}-.0375267{col 67}{space 3} .0334095
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull = .099{p_end}

{txt}       F(  1,   186) ={res}    0.85
{txt}{col 13}Prob > F ={res}    0.3574

{p 0 7}{space 1}{text:( 1)}{space 1} treatfull = -.099{p_end}

{txt}       F(  1,   186) ={res}   52.46
{txt}{col 13}Prob > F ={res}    0.0000
{txt}note: b_patsat_z_d omitted because of collinearity
{res}
{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}     7,288
{txt}{col 49}F({res}   8{txt},{res}    186{txt}){col 67}= {res}     14.25
{txt}{col 49}Prob > F{col 67}= {res}    0.0000
{txt}{col 49}R-squared{col 67}= {res}    0.0394
{txt}{col 49}Adj R-squared{col 67}= {res}    0.0363
{txt}{col 49}Root MSE{col 67}= {res}    0.5869

{txt}{ralign 78:(Std. Err. adjusted for {res:187} clusters in hc_id)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}  e_patsat_z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2} .0766279{col 26}{space 2} .0242478{col 37}{space 1}    3.16{col 46}{space 3}0.002{col 54}{space 4} .0287919{col 67}{space 3}  .124464
{txt}{space 2}b_patsat_z {c |}{col 14}{res}{space 2} .1391849{col 26}{space 2} .0151653{col 37}{space 1}    9.18{col 46}{space 3}0.000{col 54}{space 4} .1092669{col 67}{space 3}  .169103
{txt}b_patsat_z_d {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 1}c_tfull_hc2 {c |}{col 14}{res}{space 2}-.0559382{col 26}{space 2} .0292099{col 37}{space 1}   -1.92{col 46}{space 3}0.057{col 54}{space 4}-.1135635{col 67}{space 3} .0016871
{txt}c_tfull_b_~l {c |}{col 14}{res}{space 2} .0029132{col 26}{space 2}  .038816{col 37}{space 1}    0.08{col 46}{space 3}0.940{col 54}{space 4}-.0736631{col 67}{space 3} .0794894
{txt}c_tfull_b_~s {c |}{col 14}{res}{space 2}  .014223{col 26}{space 2} .0540938{col 37}{space 1}    0.26{col 46}{space 3}0.793{col 54}{space 4}-.0924932{col 67}{space 3} .1209392
{txt}c_tfull_b_~d {c |}{col 14}{res}{space 2}-.0090924{col 26}{space 2} .0266171{col 37}{space 1}   -0.34{col 46}{space 3}0.733{col 54}{space 4}-.0616027{col 67}{space 3} .0434179
{txt}c_tfull_ed~r {c |}{col 14}{res}{space 2} .0031544{col 26}{space 2} .0018384{col 37}{space 1}    1.72{col 46}{space 3}0.088{col 54}{space 4}-.0004724{col 67}{space 3} .0067812
{txt}c_tfull_b_~x {c |}{col 14}{res}{space 2} .0006674{col 26}{space 2} .0074343{col 37}{space 1}    0.09{col 46}{space 3}0.929{col 54}{space 4} -.013999{col 67}{space 3} .0153338
{txt}{space 7}_cons {c |}{col 14}{res}{space 2}-.0020586{col 26}{space 2} .0179785{col 37}{space 1}   -0.11{col 46}{space 3}0.909{col 54}{space 4}-.0375267{col 67}{space 3} .0334095
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull = .1{p_end}

{txt}       F(  1,   186) ={res}    0.93
{txt}{col 13}Prob > F ={res}    0.3364

{p 0 7}{space 1}{text:( 1)}{space 1} treatfull = -.1{p_end}

{txt}       F(  1,   186) ={res}   53.06
{txt}{col 13}Prob > F ={res}    0.0000
{txt}note: b_patsat_z_d omitted because of collinearity
{res}
{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}     7,288
{txt}{col 49}F({res}   8{txt},{res}    186{txt}){col 67}= {res}     14.25
{txt}{col 49}Prob > F{col 67}= {res}    0.0000
{txt}{col 49}R-squared{col 67}= {res}    0.0394
{txt}{col 49}Adj R-squared{col 67}= {res}    0.0363
{txt}{col 49}Root MSE{col 67}= {res}    0.5869

{txt}{ralign 78:(Std. Err. adjusted for {res:187} clusters in hc_id)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}  e_patsat_z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2} .0766279{col 26}{space 2} .0242478{col 37}{space 1}    3.16{col 46}{space 3}0.002{col 54}{space 4} .0287919{col 67}{space 3}  .124464
{txt}{space 2}b_patsat_z {c |}{col 14}{res}{space 2} .1391849{col 26}{space 2} .0151653{col 37}{space 1}    9.18{col 46}{space 3}0.000{col 54}{space 4} .1092669{col 67}{space 3}  .169103
{txt}b_patsat_z_d {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 1}c_tfull_hc2 {c |}{col 14}{res}{space 2}-.0559382{col 26}{space 2} .0292099{col 37}{space 1}   -1.92{col 46}{space 3}0.057{col 54}{space 4}-.1135635{col 67}{space 3} .0016871
{txt}c_tfull_b_~l {c |}{col 14}{res}{space 2} .0029132{col 26}{space 2}  .038816{col 37}{space 1}    0.08{col 46}{space 3}0.940{col 54}{space 4}-.0736631{col 67}{space 3} .0794894
{txt}c_tfull_b_~s {c |}{col 14}{res}{space 2}  .014223{col 26}{space 2} .0540938{col 37}{space 1}    0.26{col 46}{space 3}0.793{col 54}{space 4}-.0924932{col 67}{space 3} .1209392
{txt}c_tfull_b_~d {c |}{col 14}{res}{space 2}-.0090924{col 26}{space 2} .0266171{col 37}{space 1}   -0.34{col 46}{space 3}0.733{col 54}{space 4}-.0616027{col 67}{space 3} .0434179
{txt}c_tfull_ed~r {c |}{col 14}{res}{space 2} .0031544{col 26}{space 2} .0018384{col 37}{space 1}    1.72{col 46}{space 3}0.088{col 54}{space 4}-.0004724{col 67}{space 3} .0067812
{txt}c_tfull_b_~x {c |}{col 14}{res}{space 2} .0006674{col 26}{space 2} .0074343{col 37}{space 1}    0.09{col 46}{space 3}0.929{col 54}{space 4} -.013999{col 67}{space 3} .0153338
{txt}{space 7}_cons {c |}{col 14}{res}{space 2}-.0020586{col 26}{space 2} .0179785{col 37}{space 1}   -0.11{col 46}{space 3}0.909{col 54}{space 4}-.0375267{col 67}{space 3} .0334095
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull = .101{p_end}

{txt}       F(  1,   186) ={res}    1.01
{txt}{col 13}Prob > F ={res}    0.3161

{p 0 7}{space 1}{text:( 1)}{space 1} treatfull = -.101{p_end}

{txt}       F(  1,   186) ={res}   53.66
{txt}{col 13}Prob > F ={res}    0.0000
{txt}note: b_patsat_z_d omitted because of collinearity
{res}
{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}     7,288
{txt}{col 49}F({res}   8{txt},{res}    186{txt}){col 67}= {res}     14.25
{txt}{col 49}Prob > F{col 67}= {res}    0.0000
{txt}{col 49}R-squared{col 67}= {res}    0.0394
{txt}{col 49}Adj R-squared{col 67}= {res}    0.0363
{txt}{col 49}Root MSE{col 67}= {res}    0.5869

{txt}{ralign 78:(Std. Err. adjusted for {res:187} clusters in hc_id)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}  e_patsat_z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2} .0766279{col 26}{space 2} .0242478{col 37}{space 1}    3.16{col 46}{space 3}0.002{col 54}{space 4} .0287919{col 67}{space 3}  .124464
{txt}{space 2}b_patsat_z {c |}{col 14}{res}{space 2} .1391849{col 26}{space 2} .0151653{col 37}{space 1}    9.18{col 46}{space 3}0.000{col 54}{space 4} .1092669{col 67}{space 3}  .169103
{txt}b_patsat_z_d {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 1}c_tfull_hc2 {c |}{col 14}{res}{space 2}-.0559382{col 26}{space 2} .0292099{col 37}{space 1}   -1.92{col 46}{space 3}0.057{col 54}{space 4}-.1135635{col 67}{space 3} .0016871
{txt}c_tfull_b_~l {c |}{col 14}{res}{space 2} .0029132{col 26}{space 2}  .038816{col 37}{space 1}    0.08{col 46}{space 3}0.940{col 54}{space 4}-.0736631{col 67}{space 3} .0794894
{txt}c_tfull_b_~s {c |}{col 14}{res}{space 2}  .014223{col 26}{space 2} .0540938{col 37}{space 1}    0.26{col 46}{space 3}0.793{col 54}{space 4}-.0924932{col 67}{space 3} .1209392
{txt}c_tfull_b_~d {c |}{col 14}{res}{space 2}-.0090924{col 26}{space 2} .0266171{col 37}{space 1}   -0.34{col 46}{space 3}0.733{col 54}{space 4}-.0616027{col 67}{space 3} .0434179
{txt}c_tfull_ed~r {c |}{col 14}{res}{space 2} .0031544{col 26}{space 2} .0018384{col 37}{space 1}    1.72{col 46}{space 3}0.088{col 54}{space 4}-.0004724{col 67}{space 3} .0067812
{txt}c_tfull_b_~x {c |}{col 14}{res}{space 2} .0006674{col 26}{space 2} .0074343{col 37}{space 1}    0.09{col 46}{space 3}0.929{col 54}{space 4} -.013999{col 67}{space 3} .0153338
{txt}{space 7}_cons {c |}{col 14}{res}{space 2}-.0020586{col 26}{space 2} .0179785{col 37}{space 1}   -0.11{col 46}{space 3}0.909{col 54}{space 4}-.0375267{col 67}{space 3} .0334095
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull = .102{p_end}

{txt}       F(  1,   186) ={res}    1.09
{txt}{col 13}Prob > F ={res}    0.2967

{p 0 7}{space 1}{text:( 1)}{space 1} treatfull = -.102{p_end}

{txt}       F(  1,   186) ={res}   54.27
{txt}{col 13}Prob > F ={res}    0.0000
{txt}note: b_patsat_z_d omitted because of collinearity
{res}
{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}     7,288
{txt}{col 49}F({res}   8{txt},{res}    186{txt}){col 67}= {res}     14.25
{txt}{col 49}Prob > F{col 67}= {res}    0.0000
{txt}{col 49}R-squared{col 67}= {res}    0.0394
{txt}{col 49}Adj R-squared{col 67}= {res}    0.0363
{txt}{col 49}Root MSE{col 67}= {res}    0.5869

{txt}{ralign 78:(Std. Err. adjusted for {res:187} clusters in hc_id)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}  e_patsat_z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2} .0766279{col 26}{space 2} .0242478{col 37}{space 1}    3.16{col 46}{space 3}0.002{col 54}{space 4} .0287919{col 67}{space 3}  .124464
{txt}{space 2}b_patsat_z {c |}{col 14}{res}{space 2} .1391849{col 26}{space 2} .0151653{col 37}{space 1}    9.18{col 46}{space 3}0.000{col 54}{space 4} .1092669{col 67}{space 3}  .169103
{txt}b_patsat_z_d {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 1}c_tfull_hc2 {c |}{col 14}{res}{space 2}-.0559382{col 26}{space 2} .0292099{col 37}{space 1}   -1.92{col 46}{space 3}0.057{col 54}{space 4}-.1135635{col 67}{space 3} .0016871
{txt}c_tfull_b_~l {c |}{col 14}{res}{space 2} .0029132{col 26}{space 2}  .038816{col 37}{space 1}    0.08{col 46}{space 3}0.940{col 54}{space 4}-.0736631{col 67}{space 3} .0794894
{txt}c_tfull_b_~s {c |}{col 14}{res}{space 2}  .014223{col 26}{space 2} .0540938{col 37}{space 1}    0.26{col 46}{space 3}0.793{col 54}{space 4}-.0924932{col 67}{space 3} .1209392
{txt}c_tfull_b_~d {c |}{col 14}{res}{space 2}-.0090924{col 26}{space 2} .0266171{col 37}{space 1}   -0.34{col 46}{space 3}0.733{col 54}{space 4}-.0616027{col 67}{space 3} .0434179
{txt}c_tfull_ed~r {c |}{col 14}{res}{space 2} .0031544{col 26}{space 2} .0018384{col 37}{space 1}    1.72{col 46}{space 3}0.088{col 54}{space 4}-.0004724{col 67}{space 3} .0067812
{txt}c_tfull_b_~x {c |}{col 14}{res}{space 2} .0006674{col 26}{space 2} .0074343{col 37}{space 1}    0.09{col 46}{space 3}0.929{col 54}{space 4} -.013999{col 67}{space 3} .0153338
{txt}{space 7}_cons {c |}{col 14}{res}{space 2}-.0020586{col 26}{space 2} .0179785{col 37}{space 1}   -0.11{col 46}{space 3}0.909{col 54}{space 4}-.0375267{col 67}{space 3} .0334095
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull = .103{p_end}

{txt}       F(  1,   186) ={res}    1.18
{txt}{col 13}Prob > F ={res}    0.2782

{p 0 7}{space 1}{text:( 1)}{space 1} treatfull = -.103{p_end}

{txt}       F(  1,   186) ={res}   54.88
{txt}{col 13}Prob > F ={res}    0.0000
{txt}note: b_patsat_z_d omitted because of collinearity
{res}
{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}     7,288
{txt}{col 49}F({res}   8{txt},{res}    186{txt}){col 67}= {res}     14.25
{txt}{col 49}Prob > F{col 67}= {res}    0.0000
{txt}{col 49}R-squared{col 67}= {res}    0.0394
{txt}{col 49}Adj R-squared{col 67}= {res}    0.0363
{txt}{col 49}Root MSE{col 67}= {res}    0.5869

{txt}{ralign 78:(Std. Err. adjusted for {res:187} clusters in hc_id)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}  e_patsat_z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2} .0766279{col 26}{space 2} .0242478{col 37}{space 1}    3.16{col 46}{space 3}0.002{col 54}{space 4} .0287919{col 67}{space 3}  .124464
{txt}{space 2}b_patsat_z {c |}{col 14}{res}{space 2} .1391849{col 26}{space 2} .0151653{col 37}{space 1}    9.18{col 46}{space 3}0.000{col 54}{space 4} .1092669{col 67}{space 3}  .169103
{txt}b_patsat_z_d {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 1}c_tfull_hc2 {c |}{col 14}{res}{space 2}-.0559382{col 26}{space 2} .0292099{col 37}{space 1}   -1.92{col 46}{space 3}0.057{col 54}{space 4}-.1135635{col 67}{space 3} .0016871
{txt}c_tfull_b_~l {c |}{col 14}{res}{space 2} .0029132{col 26}{space 2}  .038816{col 37}{space 1}    0.08{col 46}{space 3}0.940{col 54}{space 4}-.0736631{col 67}{space 3} .0794894
{txt}c_tfull_b_~s {c |}{col 14}{res}{space 2}  .014223{col 26}{space 2} .0540938{col 37}{space 1}    0.26{col 46}{space 3}0.793{col 54}{space 4}-.0924932{col 67}{space 3} .1209392
{txt}c_tfull_b_~d {c |}{col 14}{res}{space 2}-.0090924{col 26}{space 2} .0266171{col 37}{space 1}   -0.34{col 46}{space 3}0.733{col 54}{space 4}-.0616027{col 67}{space 3} .0434179
{txt}c_tfull_ed~r {c |}{col 14}{res}{space 2} .0031544{col 26}{space 2} .0018384{col 37}{space 1}    1.72{col 46}{space 3}0.088{col 54}{space 4}-.0004724{col 67}{space 3} .0067812
{txt}c_tfull_b_~x {c |}{col 14}{res}{space 2} .0006674{col 26}{space 2} .0074343{col 37}{space 1}    0.09{col 46}{space 3}0.929{col 54}{space 4} -.013999{col 67}{space 3} .0153338
{txt}{space 7}_cons {c |}{col 14}{res}{space 2}-.0020586{col 26}{space 2} .0179785{col 37}{space 1}   -0.11{col 46}{space 3}0.909{col 54}{space 4}-.0375267{col 67}{space 3} .0334095
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull = .104{p_end}

{txt}       F(  1,   186) ={res}    1.27
{txt}{col 13}Prob > F ={res}    0.2604

{p 0 7}{space 1}{text:( 1)}{space 1} treatfull = -.104{p_end}

{txt}       F(  1,   186) ={res}   55.49
{txt}{col 13}Prob > F ={res}    0.0000
{txt}note: b_patsat_z_d omitted because of collinearity
{res}
{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}     7,288
{txt}{col 49}F({res}   8{txt},{res}    186{txt}){col 67}= {res}     14.25
{txt}{col 49}Prob > F{col 67}= {res}    0.0000
{txt}{col 49}R-squared{col 67}= {res}    0.0394
{txt}{col 49}Adj R-squared{col 67}= {res}    0.0363
{txt}{col 49}Root MSE{col 67}= {res}    0.5869

{txt}{ralign 78:(Std. Err. adjusted for {res:187} clusters in hc_id)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}  e_patsat_z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2} .0766279{col 26}{space 2} .0242478{col 37}{space 1}    3.16{col 46}{space 3}0.002{col 54}{space 4} .0287919{col 67}{space 3}  .124464
{txt}{space 2}b_patsat_z {c |}{col 14}{res}{space 2} .1391849{col 26}{space 2} .0151653{col 37}{space 1}    9.18{col 46}{space 3}0.000{col 54}{space 4} .1092669{col 67}{space 3}  .169103
{txt}b_patsat_z_d {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 1}c_tfull_hc2 {c |}{col 14}{res}{space 2}-.0559382{col 26}{space 2} .0292099{col 37}{space 1}   -1.92{col 46}{space 3}0.057{col 54}{space 4}-.1135635{col 67}{space 3} .0016871
{txt}c_tfull_b_~l {c |}{col 14}{res}{space 2} .0029132{col 26}{space 2}  .038816{col 37}{space 1}    0.08{col 46}{space 3}0.940{col 54}{space 4}-.0736631{col 67}{space 3} .0794894
{txt}c_tfull_b_~s {c |}{col 14}{res}{space 2}  .014223{col 26}{space 2} .0540938{col 37}{space 1}    0.26{col 46}{space 3}0.793{col 54}{space 4}-.0924932{col 67}{space 3} .1209392
{txt}c_tfull_b_~d {c |}{col 14}{res}{space 2}-.0090924{col 26}{space 2} .0266171{col 37}{space 1}   -0.34{col 46}{space 3}0.733{col 54}{space 4}-.0616027{col 67}{space 3} .0434179
{txt}c_tfull_ed~r {c |}{col 14}{res}{space 2} .0031544{col 26}{space 2} .0018384{col 37}{space 1}    1.72{col 46}{space 3}0.088{col 54}{space 4}-.0004724{col 67}{space 3} .0067812
{txt}c_tfull_b_~x {c |}{col 14}{res}{space 2} .0006674{col 26}{space 2} .0074343{col 37}{space 1}    0.09{col 46}{space 3}0.929{col 54}{space 4} -.013999{col 67}{space 3} .0153338
{txt}{space 7}_cons {c |}{col 14}{res}{space 2}-.0020586{col 26}{space 2} .0179785{col 37}{space 1}   -0.11{col 46}{space 3}0.909{col 54}{space 4}-.0375267{col 67}{space 3} .0334095
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull = .105{p_end}

{txt}       F(  1,   186) ={res}    1.37
{txt}{col 13}Prob > F ={res}    0.2435

{p 0 7}{space 1}{text:( 1)}{space 1} treatfull = -.105{p_end}

{txt}       F(  1,   186) ={res}   56.11
{txt}{col 13}Prob > F ={res}    0.0000
{txt}note: b_patsat_z_d omitted because of collinearity
{res}
{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}     7,288
{txt}{col 49}F({res}   8{txt},{res}    186{txt}){col 67}= {res}     14.25
{txt}{col 49}Prob > F{col 67}= {res}    0.0000
{txt}{col 49}R-squared{col 67}= {res}    0.0394
{txt}{col 49}Adj R-squared{col 67}= {res}    0.0363
{txt}{col 49}Root MSE{col 67}= {res}    0.5869

{txt}{ralign 78:(Std. Err. adjusted for {res:187} clusters in hc_id)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}  e_patsat_z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2} .0766279{col 26}{space 2} .0242478{col 37}{space 1}    3.16{col 46}{space 3}0.002{col 54}{space 4} .0287919{col 67}{space 3}  .124464
{txt}{space 2}b_patsat_z {c |}{col 14}{res}{space 2} .1391849{col 26}{space 2} .0151653{col 37}{space 1}    9.18{col 46}{space 3}0.000{col 54}{space 4} .1092669{col 67}{space 3}  .169103
{txt}b_patsat_z_d {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 1}c_tfull_hc2 {c |}{col 14}{res}{space 2}-.0559382{col 26}{space 2} .0292099{col 37}{space 1}   -1.92{col 46}{space 3}0.057{col 54}{space 4}-.1135635{col 67}{space 3} .0016871
{txt}c_tfull_b_~l {c |}{col 14}{res}{space 2} .0029132{col 26}{space 2}  .038816{col 37}{space 1}    0.08{col 46}{space 3}0.940{col 54}{space 4}-.0736631{col 67}{space 3} .0794894
{txt}c_tfull_b_~s {c |}{col 14}{res}{space 2}  .014223{col 26}{space 2} .0540938{col 37}{space 1}    0.26{col 46}{space 3}0.793{col 54}{space 4}-.0924932{col 67}{space 3} .1209392
{txt}c_tfull_b_~d {c |}{col 14}{res}{space 2}-.0090924{col 26}{space 2} .0266171{col 37}{space 1}   -0.34{col 46}{space 3}0.733{col 54}{space 4}-.0616027{col 67}{space 3} .0434179
{txt}c_tfull_ed~r {c |}{col 14}{res}{space 2} .0031544{col 26}{space 2} .0018384{col 37}{space 1}    1.72{col 46}{space 3}0.088{col 54}{space 4}-.0004724{col 67}{space 3} .0067812
{txt}c_tfull_b_~x {c |}{col 14}{res}{space 2} .0006674{col 26}{space 2} .0074343{col 37}{space 1}    0.09{col 46}{space 3}0.929{col 54}{space 4} -.013999{col 67}{space 3} .0153338
{txt}{space 7}_cons {c |}{col 14}{res}{space 2}-.0020586{col 26}{space 2} .0179785{col 37}{space 1}   -0.11{col 46}{space 3}0.909{col 54}{space 4}-.0375267{col 67}{space 3} .0334095
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull = .106{p_end}

{txt}       F(  1,   186) ={res}    1.47
{txt}{col 13}Prob > F ={res}    0.2273

{p 0 7}{space 1}{text:( 1)}{space 1} treatfull = -.106{p_end}

{txt}       F(  1,   186) ={res}   56.73
{txt}{col 13}Prob > F ={res}    0.0000
{txt}note: b_patsat_z_d omitted because of collinearity
{res}
{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}     7,288
{txt}{col 49}F({res}   8{txt},{res}    186{txt}){col 67}= {res}     14.25
{txt}{col 49}Prob > F{col 67}= {res}    0.0000
{txt}{col 49}R-squared{col 67}= {res}    0.0394
{txt}{col 49}Adj R-squared{col 67}= {res}    0.0363
{txt}{col 49}Root MSE{col 67}= {res}    0.5869

{txt}{ralign 78:(Std. Err. adjusted for {res:187} clusters in hc_id)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}  e_patsat_z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2} .0766279{col 26}{space 2} .0242478{col 37}{space 1}    3.16{col 46}{space 3}0.002{col 54}{space 4} .0287919{col 67}{space 3}  .124464
{txt}{space 2}b_patsat_z {c |}{col 14}{res}{space 2} .1391849{col 26}{space 2} .0151653{col 37}{space 1}    9.18{col 46}{space 3}0.000{col 54}{space 4} .1092669{col 67}{space 3}  .169103
{txt}b_patsat_z_d {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 1}c_tfull_hc2 {c |}{col 14}{res}{space 2}-.0559382{col 26}{space 2} .0292099{col 37}{space 1}   -1.92{col 46}{space 3}0.057{col 54}{space 4}-.1135635{col 67}{space 3} .0016871
{txt}c_tfull_b_~l {c |}{col 14}{res}{space 2} .0029132{col 26}{space 2}  .038816{col 37}{space 1}    0.08{col 46}{space 3}0.940{col 54}{space 4}-.0736631{col 67}{space 3} .0794894
{txt}c_tfull_b_~s {c |}{col 14}{res}{space 2}  .014223{col 26}{space 2} .0540938{col 37}{space 1}    0.26{col 46}{space 3}0.793{col 54}{space 4}-.0924932{col 67}{space 3} .1209392
{txt}c_tfull_b_~d {c |}{col 14}{res}{space 2}-.0090924{col 26}{space 2} .0266171{col 37}{space 1}   -0.34{col 46}{space 3}0.733{col 54}{space 4}-.0616027{col 67}{space 3} .0434179
{txt}c_tfull_ed~r {c |}{col 14}{res}{space 2} .0031544{col 26}{space 2} .0018384{col 37}{space 1}    1.72{col 46}{space 3}0.088{col 54}{space 4}-.0004724{col 67}{space 3} .0067812
{txt}c_tfull_b_~x {c |}{col 14}{res}{space 2} .0006674{col 26}{space 2} .0074343{col 37}{space 1}    0.09{col 46}{space 3}0.929{col 54}{space 4} -.013999{col 67}{space 3} .0153338
{txt}{space 7}_cons {c |}{col 14}{res}{space 2}-.0020586{col 26}{space 2} .0179785{col 37}{space 1}   -0.11{col 46}{space 3}0.909{col 54}{space 4}-.0375267{col 67}{space 3} .0334095
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull = .107{p_end}

{txt}       F(  1,   186) ={res}    1.57
{txt}{col 13}Prob > F ={res}    0.2119

{p 0 7}{space 1}{text:( 1)}{space 1} treatfull = -.107{p_end}

{txt}       F(  1,   186) ={res}   57.35
{txt}{col 13}Prob > F ={res}    0.0000
{txt}note: b_patsat_z_d omitted because of collinearity
{res}
{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}     7,288
{txt}{col 49}F({res}   8{txt},{res}    186{txt}){col 67}= {res}     14.25
{txt}{col 49}Prob > F{col 67}= {res}    0.0000
{txt}{col 49}R-squared{col 67}= {res}    0.0394
{txt}{col 49}Adj R-squared{col 67}= {res}    0.0363
{txt}{col 49}Root MSE{col 67}= {res}    0.5869

{txt}{ralign 78:(Std. Err. adjusted for {res:187} clusters in hc_id)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}  e_patsat_z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2} .0766279{col 26}{space 2} .0242478{col 37}{space 1}    3.16{col 46}{space 3}0.002{col 54}{space 4} .0287919{col 67}{space 3}  .124464
{txt}{space 2}b_patsat_z {c |}{col 14}{res}{space 2} .1391849{col 26}{space 2} .0151653{col 37}{space 1}    9.18{col 46}{space 3}0.000{col 54}{space 4} .1092669{col 67}{space 3}  .169103
{txt}b_patsat_z_d {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 1}c_tfull_hc2 {c |}{col 14}{res}{space 2}-.0559382{col 26}{space 2} .0292099{col 37}{space 1}   -1.92{col 46}{space 3}0.057{col 54}{space 4}-.1135635{col 67}{space 3} .0016871
{txt}c_tfull_b_~l {c |}{col 14}{res}{space 2} .0029132{col 26}{space 2}  .038816{col 37}{space 1}    0.08{col 46}{space 3}0.940{col 54}{space 4}-.0736631{col 67}{space 3} .0794894
{txt}c_tfull_b_~s {c |}{col 14}{res}{space 2}  .014223{col 26}{space 2} .0540938{col 37}{space 1}    0.26{col 46}{space 3}0.793{col 54}{space 4}-.0924932{col 67}{space 3} .1209392
{txt}c_tfull_b_~d {c |}{col 14}{res}{space 2}-.0090924{col 26}{space 2} .0266171{col 37}{space 1}   -0.34{col 46}{space 3}0.733{col 54}{space 4}-.0616027{col 67}{space 3} .0434179
{txt}c_tfull_ed~r {c |}{col 14}{res}{space 2} .0031544{col 26}{space 2} .0018384{col 37}{space 1}    1.72{col 46}{space 3}0.088{col 54}{space 4}-.0004724{col 67}{space 3} .0067812
{txt}c_tfull_b_~x {c |}{col 14}{res}{space 2} .0006674{col 26}{space 2} .0074343{col 37}{space 1}    0.09{col 46}{space 3}0.929{col 54}{space 4} -.013999{col 67}{space 3} .0153338
{txt}{space 7}_cons {c |}{col 14}{res}{space 2}-.0020586{col 26}{space 2} .0179785{col 37}{space 1}   -0.11{col 46}{space 3}0.909{col 54}{space 4}-.0375267{col 67}{space 3} .0334095
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull = .108{p_end}

{txt}       F(  1,   186) ={res}    1.67
{txt}{col 13}Prob > F ={res}    0.1973

{p 0 7}{space 1}{text:( 1)}{space 1} treatfull = -.108{p_end}

{txt}       F(  1,   186) ={res}   57.98
{txt}{col 13}Prob > F ={res}    0.0000
{txt}note: b_patsat_z_d omitted because of collinearity
{res}
{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}     7,288
{txt}{col 49}F({res}   8{txt},{res}    186{txt}){col 67}= {res}     14.25
{txt}{col 49}Prob > F{col 67}= {res}    0.0000
{txt}{col 49}R-squared{col 67}= {res}    0.0394
{txt}{col 49}Adj R-squared{col 67}= {res}    0.0363
{txt}{col 49}Root MSE{col 67}= {res}    0.5869

{txt}{ralign 78:(Std. Err. adjusted for {res:187} clusters in hc_id)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}  e_patsat_z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2} .0766279{col 26}{space 2} .0242478{col 37}{space 1}    3.16{col 46}{space 3}0.002{col 54}{space 4} .0287919{col 67}{space 3}  .124464
{txt}{space 2}b_patsat_z {c |}{col 14}{res}{space 2} .1391849{col 26}{space 2} .0151653{col 37}{space 1}    9.18{col 46}{space 3}0.000{col 54}{space 4} .1092669{col 67}{space 3}  .169103
{txt}b_patsat_z_d {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 1}c_tfull_hc2 {c |}{col 14}{res}{space 2}-.0559382{col 26}{space 2} .0292099{col 37}{space 1}   -1.92{col 46}{space 3}0.057{col 54}{space 4}-.1135635{col 67}{space 3} .0016871
{txt}c_tfull_b_~l {c |}{col 14}{res}{space 2} .0029132{col 26}{space 2}  .038816{col 37}{space 1}    0.08{col 46}{space 3}0.940{col 54}{space 4}-.0736631{col 67}{space 3} .0794894
{txt}c_tfull_b_~s {c |}{col 14}{res}{space 2}  .014223{col 26}{space 2} .0540938{col 37}{space 1}    0.26{col 46}{space 3}0.793{col 54}{space 4}-.0924932{col 67}{space 3} .1209392
{txt}c_tfull_b_~d {c |}{col 14}{res}{space 2}-.0090924{col 26}{space 2} .0266171{col 37}{space 1}   -0.34{col 46}{space 3}0.733{col 54}{space 4}-.0616027{col 67}{space 3} .0434179
{txt}c_tfull_ed~r {c |}{col 14}{res}{space 2} .0031544{col 26}{space 2} .0018384{col 37}{space 1}    1.72{col 46}{space 3}0.088{col 54}{space 4}-.0004724{col 67}{space 3} .0067812
{txt}c_tfull_b_~x {c |}{col 14}{res}{space 2} .0006674{col 26}{space 2} .0074343{col 37}{space 1}    0.09{col 46}{space 3}0.929{col 54}{space 4} -.013999{col 67}{space 3} .0153338
{txt}{space 7}_cons {c |}{col 14}{res}{space 2}-.0020586{col 26}{space 2} .0179785{col 37}{space 1}   -0.11{col 46}{space 3}0.909{col 54}{space 4}-.0375267{col 67}{space 3} .0334095
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull = .109{p_end}

{txt}       F(  1,   186) ={res}    1.78
{txt}{col 13}Prob > F ={res}    0.1835

{p 0 7}{space 1}{text:( 1)}{space 1} treatfull = -.109{p_end}

{txt}       F(  1,   186) ={res}   58.61
{txt}{col 13}Prob > F ={res}    0.0000
{txt}note: b_patsat_z_d omitted because of collinearity
{res}
{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}     7,288
{txt}{col 49}F({res}   8{txt},{res}    186{txt}){col 67}= {res}     14.25
{txt}{col 49}Prob > F{col 67}= {res}    0.0000
{txt}{col 49}R-squared{col 67}= {res}    0.0394
{txt}{col 49}Adj R-squared{col 67}= {res}    0.0363
{txt}{col 49}Root MSE{col 67}= {res}    0.5869

{txt}{ralign 78:(Std. Err. adjusted for {res:187} clusters in hc_id)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}  e_patsat_z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2} .0766279{col 26}{space 2} .0242478{col 37}{space 1}    3.16{col 46}{space 3}0.002{col 54}{space 4} .0287919{col 67}{space 3}  .124464
{txt}{space 2}b_patsat_z {c |}{col 14}{res}{space 2} .1391849{col 26}{space 2} .0151653{col 37}{space 1}    9.18{col 46}{space 3}0.000{col 54}{space 4} .1092669{col 67}{space 3}  .169103
{txt}b_patsat_z_d {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 1}c_tfull_hc2 {c |}{col 14}{res}{space 2}-.0559382{col 26}{space 2} .0292099{col 37}{space 1}   -1.92{col 46}{space 3}0.057{col 54}{space 4}-.1135635{col 67}{space 3} .0016871
{txt}c_tfull_b_~l {c |}{col 14}{res}{space 2} .0029132{col 26}{space 2}  .038816{col 37}{space 1}    0.08{col 46}{space 3}0.940{col 54}{space 4}-.0736631{col 67}{space 3} .0794894
{txt}c_tfull_b_~s {c |}{col 14}{res}{space 2}  .014223{col 26}{space 2} .0540938{col 37}{space 1}    0.26{col 46}{space 3}0.793{col 54}{space 4}-.0924932{col 67}{space 3} .1209392
{txt}c_tfull_b_~d {c |}{col 14}{res}{space 2}-.0090924{col 26}{space 2} .0266171{col 37}{space 1}   -0.34{col 46}{space 3}0.733{col 54}{space 4}-.0616027{col 67}{space 3} .0434179
{txt}c_tfull_ed~r {c |}{col 14}{res}{space 2} .0031544{col 26}{space 2} .0018384{col 37}{space 1}    1.72{col 46}{space 3}0.088{col 54}{space 4}-.0004724{col 67}{space 3} .0067812
{txt}c_tfull_b_~x {c |}{col 14}{res}{space 2} .0006674{col 26}{space 2} .0074343{col 37}{space 1}    0.09{col 46}{space 3}0.929{col 54}{space 4} -.013999{col 67}{space 3} .0153338
{txt}{space 7}_cons {c |}{col 14}{res}{space 2}-.0020586{col 26}{space 2} .0179785{col 37}{space 1}   -0.11{col 46}{space 3}0.909{col 54}{space 4}-.0375267{col 67}{space 3} .0334095
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull = .11{p_end}

{txt}       F(  1,   186) ={res}    1.89
{txt}{col 13}Prob > F ={res}    0.1704

{p 0 7}{space 1}{text:( 1)}{space 1} treatfull = -.11{p_end}

{txt}       F(  1,   186) ={res}   59.24
{txt}{col 13}Prob > F ={res}    0.0000
{txt}note: b_patsat_z_d omitted because of collinearity
{res}
{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}     7,288
{txt}{col 49}F({res}   8{txt},{res}    186{txt}){col 67}= {res}     14.25
{txt}{col 49}Prob > F{col 67}= {res}    0.0000
{txt}{col 49}R-squared{col 67}= {res}    0.0394
{txt}{col 49}Adj R-squared{col 67}= {res}    0.0363
{txt}{col 49}Root MSE{col 67}= {res}    0.5869

{txt}{ralign 78:(Std. Err. adjusted for {res:187} clusters in hc_id)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}  e_patsat_z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2} .0766279{col 26}{space 2} .0242478{col 37}{space 1}    3.16{col 46}{space 3}0.002{col 54}{space 4} .0287919{col 67}{space 3}  .124464
{txt}{space 2}b_patsat_z {c |}{col 14}{res}{space 2} .1391849{col 26}{space 2} .0151653{col 37}{space 1}    9.18{col 46}{space 3}0.000{col 54}{space 4} .1092669{col 67}{space 3}  .169103
{txt}b_patsat_z_d {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 1}c_tfull_hc2 {c |}{col 14}{res}{space 2}-.0559382{col 26}{space 2} .0292099{col 37}{space 1}   -1.92{col 46}{space 3}0.057{col 54}{space 4}-.1135635{col 67}{space 3} .0016871
{txt}c_tfull_b_~l {c |}{col 14}{res}{space 2} .0029132{col 26}{space 2}  .038816{col 37}{space 1}    0.08{col 46}{space 3}0.940{col 54}{space 4}-.0736631{col 67}{space 3} .0794894
{txt}c_tfull_b_~s {c |}{col 14}{res}{space 2}  .014223{col 26}{space 2} .0540938{col 37}{space 1}    0.26{col 46}{space 3}0.793{col 54}{space 4}-.0924932{col 67}{space 3} .1209392
{txt}c_tfull_b_~d {c |}{col 14}{res}{space 2}-.0090924{col 26}{space 2} .0266171{col 37}{space 1}   -0.34{col 46}{space 3}0.733{col 54}{space 4}-.0616027{col 67}{space 3} .0434179
{txt}c_tfull_ed~r {c |}{col 14}{res}{space 2} .0031544{col 26}{space 2} .0018384{col 37}{space 1}    1.72{col 46}{space 3}0.088{col 54}{space 4}-.0004724{col 67}{space 3} .0067812
{txt}c_tfull_b_~x {c |}{col 14}{res}{space 2} .0006674{col 26}{space 2} .0074343{col 37}{space 1}    0.09{col 46}{space 3}0.929{col 54}{space 4} -.013999{col 67}{space 3} .0153338
{txt}{space 7}_cons {c |}{col 14}{res}{space 2}-.0020586{col 26}{space 2} .0179785{col 37}{space 1}   -0.11{col 46}{space 3}0.909{col 54}{space 4}-.0375267{col 67}{space 3} .0334095
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull = .111{p_end}

{txt}       F(  1,   186) ={res}    2.01
{txt}{col 13}Prob > F ={res}    0.1580

{p 0 7}{space 1}{text:( 1)}{space 1} treatfull = -.111{p_end}

{txt}       F(  1,   186) ={res}   59.88
{txt}{col 13}Prob > F ={res}    0.0000
{txt}note: b_patsat_z_d omitted because of collinearity
{res}
{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}     7,288
{txt}{col 49}F({res}   8{txt},{res}    186{txt}){col 67}= {res}     14.25
{txt}{col 49}Prob > F{col 67}= {res}    0.0000
{txt}{col 49}R-squared{col 67}= {res}    0.0394
{txt}{col 49}Adj R-squared{col 67}= {res}    0.0363
{txt}{col 49}Root MSE{col 67}= {res}    0.5869

{txt}{ralign 78:(Std. Err. adjusted for {res:187} clusters in hc_id)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}  e_patsat_z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2} .0766279{col 26}{space 2} .0242478{col 37}{space 1}    3.16{col 46}{space 3}0.002{col 54}{space 4} .0287919{col 67}{space 3}  .124464
{txt}{space 2}b_patsat_z {c |}{col 14}{res}{space 2} .1391849{col 26}{space 2} .0151653{col 37}{space 1}    9.18{col 46}{space 3}0.000{col 54}{space 4} .1092669{col 67}{space 3}  .169103
{txt}b_patsat_z_d {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 1}c_tfull_hc2 {c |}{col 14}{res}{space 2}-.0559382{col 26}{space 2} .0292099{col 37}{space 1}   -1.92{col 46}{space 3}0.057{col 54}{space 4}-.1135635{col 67}{space 3} .0016871
{txt}c_tfull_b_~l {c |}{col 14}{res}{space 2} .0029132{col 26}{space 2}  .038816{col 37}{space 1}    0.08{col 46}{space 3}0.940{col 54}{space 4}-.0736631{col 67}{space 3} .0794894
{txt}c_tfull_b_~s {c |}{col 14}{res}{space 2}  .014223{col 26}{space 2} .0540938{col 37}{space 1}    0.26{col 46}{space 3}0.793{col 54}{space 4}-.0924932{col 67}{space 3} .1209392
{txt}c_tfull_b_~d {c |}{col 14}{res}{space 2}-.0090924{col 26}{space 2} .0266171{col 37}{space 1}   -0.34{col 46}{space 3}0.733{col 54}{space 4}-.0616027{col 67}{space 3} .0434179
{txt}c_tfull_ed~r {c |}{col 14}{res}{space 2} .0031544{col 26}{space 2} .0018384{col 37}{space 1}    1.72{col 46}{space 3}0.088{col 54}{space 4}-.0004724{col 67}{space 3} .0067812
{txt}c_tfull_b_~x {c |}{col 14}{res}{space 2} .0006674{col 26}{space 2} .0074343{col 37}{space 1}    0.09{col 46}{space 3}0.929{col 54}{space 4} -.013999{col 67}{space 3} .0153338
{txt}{space 7}_cons {c |}{col 14}{res}{space 2}-.0020586{col 26}{space 2} .0179785{col 37}{space 1}   -0.11{col 46}{space 3}0.909{col 54}{space 4}-.0375267{col 67}{space 3} .0334095
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull = .112{p_end}

{txt}       F(  1,   186) ={res}    2.13
{txt}{col 13}Prob > F ={res}    0.1463

{p 0 7}{space 1}{text:( 1)}{space 1} treatfull = -.112{p_end}

{txt}       F(  1,   186) ={res}   60.52
{txt}{col 13}Prob > F ={res}    0.0000
{txt}note: b_patsat_z_d omitted because of collinearity
{res}
{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}     7,288
{txt}{col 49}F({res}   8{txt},{res}    186{txt}){col 67}= {res}     14.25
{txt}{col 49}Prob > F{col 67}= {res}    0.0000
{txt}{col 49}R-squared{col 67}= {res}    0.0394
{txt}{col 49}Adj R-squared{col 67}= {res}    0.0363
{txt}{col 49}Root MSE{col 67}= {res}    0.5869

{txt}{ralign 78:(Std. Err. adjusted for {res:187} clusters in hc_id)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}  e_patsat_z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2} .0766279{col 26}{space 2} .0242478{col 37}{space 1}    3.16{col 46}{space 3}0.002{col 54}{space 4} .0287919{col 67}{space 3}  .124464
{txt}{space 2}b_patsat_z {c |}{col 14}{res}{space 2} .1391849{col 26}{space 2} .0151653{col 37}{space 1}    9.18{col 46}{space 3}0.000{col 54}{space 4} .1092669{col 67}{space 3}  .169103
{txt}b_patsat_z_d {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 1}c_tfull_hc2 {c |}{col 14}{res}{space 2}-.0559382{col 26}{space 2} .0292099{col 37}{space 1}   -1.92{col 46}{space 3}0.057{col 54}{space 4}-.1135635{col 67}{space 3} .0016871
{txt}c_tfull_b_~l {c |}{col 14}{res}{space 2} .0029132{col 26}{space 2}  .038816{col 37}{space 1}    0.08{col 46}{space 3}0.940{col 54}{space 4}-.0736631{col 67}{space 3} .0794894
{txt}c_tfull_b_~s {c |}{col 14}{res}{space 2}  .014223{col 26}{space 2} .0540938{col 37}{space 1}    0.26{col 46}{space 3}0.793{col 54}{space 4}-.0924932{col 67}{space 3} .1209392
{txt}c_tfull_b_~d {c |}{col 14}{res}{space 2}-.0090924{col 26}{space 2} .0266171{col 37}{space 1}   -0.34{col 46}{space 3}0.733{col 54}{space 4}-.0616027{col 67}{space 3} .0434179
{txt}c_tfull_ed~r {c |}{col 14}{res}{space 2} .0031544{col 26}{space 2} .0018384{col 37}{space 1}    1.72{col 46}{space 3}0.088{col 54}{space 4}-.0004724{col 67}{space 3} .0067812
{txt}c_tfull_b_~x {c |}{col 14}{res}{space 2} .0006674{col 26}{space 2} .0074343{col 37}{space 1}    0.09{col 46}{space 3}0.929{col 54}{space 4} -.013999{col 67}{space 3} .0153338
{txt}{space 7}_cons {c |}{col 14}{res}{space 2}-.0020586{col 26}{space 2} .0179785{col 37}{space 1}   -0.11{col 46}{space 3}0.909{col 54}{space 4}-.0375267{col 67}{space 3} .0334095
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull = .113{p_end}

{txt}       F(  1,   186) ={res}    2.25
{txt}{col 13}Prob > F ={res}    0.1353

{p 0 7}{space 1}{text:( 1)}{space 1} treatfull = -.113{p_end}

{txt}       F(  1,   186) ={res}   61.16
{txt}{col 13}Prob > F ={res}    0.0000
{txt}note: b_patsat_z_d omitted because of collinearity
{res}
{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}     7,288
{txt}{col 49}F({res}   8{txt},{res}    186{txt}){col 67}= {res}     14.25
{txt}{col 49}Prob > F{col 67}= {res}    0.0000
{txt}{col 49}R-squared{col 67}= {res}    0.0394
{txt}{col 49}Adj R-squared{col 67}= {res}    0.0363
{txt}{col 49}Root MSE{col 67}= {res}    0.5869

{txt}{ralign 78:(Std. Err. adjusted for {res:187} clusters in hc_id)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}  e_patsat_z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2} .0766279{col 26}{space 2} .0242478{col 37}{space 1}    3.16{col 46}{space 3}0.002{col 54}{space 4} .0287919{col 67}{space 3}  .124464
{txt}{space 2}b_patsat_z {c |}{col 14}{res}{space 2} .1391849{col 26}{space 2} .0151653{col 37}{space 1}    9.18{col 46}{space 3}0.000{col 54}{space 4} .1092669{col 67}{space 3}  .169103
{txt}b_patsat_z_d {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 1}c_tfull_hc2 {c |}{col 14}{res}{space 2}-.0559382{col 26}{space 2} .0292099{col 37}{space 1}   -1.92{col 46}{space 3}0.057{col 54}{space 4}-.1135635{col 67}{space 3} .0016871
{txt}c_tfull_b_~l {c |}{col 14}{res}{space 2} .0029132{col 26}{space 2}  .038816{col 37}{space 1}    0.08{col 46}{space 3}0.940{col 54}{space 4}-.0736631{col 67}{space 3} .0794894
{txt}c_tfull_b_~s {c |}{col 14}{res}{space 2}  .014223{col 26}{space 2} .0540938{col 37}{space 1}    0.26{col 46}{space 3}0.793{col 54}{space 4}-.0924932{col 67}{space 3} .1209392
{txt}c_tfull_b_~d {c |}{col 14}{res}{space 2}-.0090924{col 26}{space 2} .0266171{col 37}{space 1}   -0.34{col 46}{space 3}0.733{col 54}{space 4}-.0616027{col 67}{space 3} .0434179
{txt}c_tfull_ed~r {c |}{col 14}{res}{space 2} .0031544{col 26}{space 2} .0018384{col 37}{space 1}    1.72{col 46}{space 3}0.088{col 54}{space 4}-.0004724{col 67}{space 3} .0067812
{txt}c_tfull_b_~x {c |}{col 14}{res}{space 2} .0006674{col 26}{space 2} .0074343{col 37}{space 1}    0.09{col 46}{space 3}0.929{col 54}{space 4} -.013999{col 67}{space 3} .0153338
{txt}{space 7}_cons {c |}{col 14}{res}{space 2}-.0020586{col 26}{space 2} .0179785{col 37}{space 1}   -0.11{col 46}{space 3}0.909{col 54}{space 4}-.0375267{col 67}{space 3} .0334095
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull = .114{p_end}

{txt}       F(  1,   186) ={res}    2.38
{txt}{col 13}Prob > F ={res}    0.1250

{p 0 7}{space 1}{text:( 1)}{space 1} treatfull = -.114{p_end}

{txt}       F(  1,   186) ={res}   61.81
{txt}{col 13}Prob > F ={res}    0.0000
{txt}note: b_patsat_z_d omitted because of collinearity
{res}
{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}     7,288
{txt}{col 49}F({res}   8{txt},{res}    186{txt}){col 67}= {res}     14.25
{txt}{col 49}Prob > F{col 67}= {res}    0.0000
{txt}{col 49}R-squared{col 67}= {res}    0.0394
{txt}{col 49}Adj R-squared{col 67}= {res}    0.0363
{txt}{col 49}Root MSE{col 67}= {res}    0.5869

{txt}{ralign 78:(Std. Err. adjusted for {res:187} clusters in hc_id)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}  e_patsat_z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2} .0766279{col 26}{space 2} .0242478{col 37}{space 1}    3.16{col 46}{space 3}0.002{col 54}{space 4} .0287919{col 67}{space 3}  .124464
{txt}{space 2}b_patsat_z {c |}{col 14}{res}{space 2} .1391849{col 26}{space 2} .0151653{col 37}{space 1}    9.18{col 46}{space 3}0.000{col 54}{space 4} .1092669{col 67}{space 3}  .169103
{txt}b_patsat_z_d {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 1}c_tfull_hc2 {c |}{col 14}{res}{space 2}-.0559382{col 26}{space 2} .0292099{col 37}{space 1}   -1.92{col 46}{space 3}0.057{col 54}{space 4}-.1135635{col 67}{space 3} .0016871
{txt}c_tfull_b_~l {c |}{col 14}{res}{space 2} .0029132{col 26}{space 2}  .038816{col 37}{space 1}    0.08{col 46}{space 3}0.940{col 54}{space 4}-.0736631{col 67}{space 3} .0794894
{txt}c_tfull_b_~s {c |}{col 14}{res}{space 2}  .014223{col 26}{space 2} .0540938{col 37}{space 1}    0.26{col 46}{space 3}0.793{col 54}{space 4}-.0924932{col 67}{space 3} .1209392
{txt}c_tfull_b_~d {c |}{col 14}{res}{space 2}-.0090924{col 26}{space 2} .0266171{col 37}{space 1}   -0.34{col 46}{space 3}0.733{col 54}{space 4}-.0616027{col 67}{space 3} .0434179
{txt}c_tfull_ed~r {c |}{col 14}{res}{space 2} .0031544{col 26}{space 2} .0018384{col 37}{space 1}    1.72{col 46}{space 3}0.088{col 54}{space 4}-.0004724{col 67}{space 3} .0067812
{txt}c_tfull_b_~x {c |}{col 14}{res}{space 2} .0006674{col 26}{space 2} .0074343{col 37}{space 1}    0.09{col 46}{space 3}0.929{col 54}{space 4} -.013999{col 67}{space 3} .0153338
{txt}{space 7}_cons {c |}{col 14}{res}{space 2}-.0020586{col 26}{space 2} .0179785{col 37}{space 1}   -0.11{col 46}{space 3}0.909{col 54}{space 4}-.0375267{col 67}{space 3} .0334095
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull = .115{p_end}

{txt}       F(  1,   186) ={res}    2.50
{txt}{col 13}Prob > F ={res}    0.1152

{p 0 7}{space 1}{text:( 1)}{space 1} treatfull = -.115{p_end}

{txt}       F(  1,   186) ={res}   62.46
{txt}{col 13}Prob > F ={res}    0.0000
{txt}note: b_patsat_z_d omitted because of collinearity
{res}
{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}     7,288
{txt}{col 49}F({res}   8{txt},{res}    186{txt}){col 67}= {res}     14.25
{txt}{col 49}Prob > F{col 67}= {res}    0.0000
{txt}{col 49}R-squared{col 67}= {res}    0.0394
{txt}{col 49}Adj R-squared{col 67}= {res}    0.0363
{txt}{col 49}Root MSE{col 67}= {res}    0.5869

{txt}{ralign 78:(Std. Err. adjusted for {res:187} clusters in hc_id)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}  e_patsat_z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2} .0766279{col 26}{space 2} .0242478{col 37}{space 1}    3.16{col 46}{space 3}0.002{col 54}{space 4} .0287919{col 67}{space 3}  .124464
{txt}{space 2}b_patsat_z {c |}{col 14}{res}{space 2} .1391849{col 26}{space 2} .0151653{col 37}{space 1}    9.18{col 46}{space 3}0.000{col 54}{space 4} .1092669{col 67}{space 3}  .169103
{txt}b_patsat_z_d {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 1}c_tfull_hc2 {c |}{col 14}{res}{space 2}-.0559382{col 26}{space 2} .0292099{col 37}{space 1}   -1.92{col 46}{space 3}0.057{col 54}{space 4}-.1135635{col 67}{space 3} .0016871
{txt}c_tfull_b_~l {c |}{col 14}{res}{space 2} .0029132{col 26}{space 2}  .038816{col 37}{space 1}    0.08{col 46}{space 3}0.940{col 54}{space 4}-.0736631{col 67}{space 3} .0794894
{txt}c_tfull_b_~s {c |}{col 14}{res}{space 2}  .014223{col 26}{space 2} .0540938{col 37}{space 1}    0.26{col 46}{space 3}0.793{col 54}{space 4}-.0924932{col 67}{space 3} .1209392
{txt}c_tfull_b_~d {c |}{col 14}{res}{space 2}-.0090924{col 26}{space 2} .0266171{col 37}{space 1}   -0.34{col 46}{space 3}0.733{col 54}{space 4}-.0616027{col 67}{space 3} .0434179
{txt}c_tfull_ed~r {c |}{col 14}{res}{space 2} .0031544{col 26}{space 2} .0018384{col 37}{space 1}    1.72{col 46}{space 3}0.088{col 54}{space 4}-.0004724{col 67}{space 3} .0067812
{txt}c_tfull_b_~x {c |}{col 14}{res}{space 2} .0006674{col 26}{space 2} .0074343{col 37}{space 1}    0.09{col 46}{space 3}0.929{col 54}{space 4} -.013999{col 67}{space 3} .0153338
{txt}{space 7}_cons {c |}{col 14}{res}{space 2}-.0020586{col 26}{space 2} .0179785{col 37}{space 1}   -0.11{col 46}{space 3}0.909{col 54}{space 4}-.0375267{col 67}{space 3} .0334095
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull = .116{p_end}

{txt}       F(  1,   186) ={res}    2.64
{txt}{col 13}Prob > F ={res}    0.1061

{p 0 7}{space 1}{text:( 1)}{space 1} treatfull = -.116{p_end}

{txt}       F(  1,   186) ={res}   63.11
{txt}{col 13}Prob > F ={res}    0.0000
{txt}note: b_patsat_z_d omitted because of collinearity
{res}
{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}     7,288
{txt}{col 49}F({res}   8{txt},{res}    186{txt}){col 67}= {res}     14.25
{txt}{col 49}Prob > F{col 67}= {res}    0.0000
{txt}{col 49}R-squared{col 67}= {res}    0.0394
{txt}{col 49}Adj R-squared{col 67}= {res}    0.0363
{txt}{col 49}Root MSE{col 67}= {res}    0.5869

{txt}{ralign 78:(Std. Err. adjusted for {res:187} clusters in hc_id)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}  e_patsat_z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2} .0766279{col 26}{space 2} .0242478{col 37}{space 1}    3.16{col 46}{space 3}0.002{col 54}{space 4} .0287919{col 67}{space 3}  .124464
{txt}{space 2}b_patsat_z {c |}{col 14}{res}{space 2} .1391849{col 26}{space 2} .0151653{col 37}{space 1}    9.18{col 46}{space 3}0.000{col 54}{space 4} .1092669{col 67}{space 3}  .169103
{txt}b_patsat_z_d {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 1}c_tfull_hc2 {c |}{col 14}{res}{space 2}-.0559382{col 26}{space 2} .0292099{col 37}{space 1}   -1.92{col 46}{space 3}0.057{col 54}{space 4}-.1135635{col 67}{space 3} .0016871
{txt}c_tfull_b_~l {c |}{col 14}{res}{space 2} .0029132{col 26}{space 2}  .038816{col 37}{space 1}    0.08{col 46}{space 3}0.940{col 54}{space 4}-.0736631{col 67}{space 3} .0794894
{txt}c_tfull_b_~s {c |}{col 14}{res}{space 2}  .014223{col 26}{space 2} .0540938{col 37}{space 1}    0.26{col 46}{space 3}0.793{col 54}{space 4}-.0924932{col 67}{space 3} .1209392
{txt}c_tfull_b_~d {c |}{col 14}{res}{space 2}-.0090924{col 26}{space 2} .0266171{col 37}{space 1}   -0.34{col 46}{space 3}0.733{col 54}{space 4}-.0616027{col 67}{space 3} .0434179
{txt}c_tfull_ed~r {c |}{col 14}{res}{space 2} .0031544{col 26}{space 2} .0018384{col 37}{space 1}    1.72{col 46}{space 3}0.088{col 54}{space 4}-.0004724{col 67}{space 3} .0067812
{txt}c_tfull_b_~x {c |}{col 14}{res}{space 2} .0006674{col 26}{space 2} .0074343{col 37}{space 1}    0.09{col 46}{space 3}0.929{col 54}{space 4} -.013999{col 67}{space 3} .0153338
{txt}{space 7}_cons {c |}{col 14}{res}{space 2}-.0020586{col 26}{space 2} .0179785{col 37}{space 1}   -0.11{col 46}{space 3}0.909{col 54}{space 4}-.0375267{col 67}{space 3} .0334095
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull = .117{p_end}

{txt}       F(  1,   186) ={res}    2.77
{txt}{col 13}Prob > F ={res}    0.0976

{p 0 7}{space 1}{text:( 1)}{space 1} treatfull = -.117{p_end}

{txt}       F(  1,   186) ={res}   63.77
{txt}{col 13}Prob > F ={res}    0.0000
{txt}note: b_patsat_z_d omitted because of collinearity
{res}
{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}     7,288
{txt}{col 49}F({res}   8{txt},{res}    186{txt}){col 67}= {res}     14.25
{txt}{col 49}Prob > F{col 67}= {res}    0.0000
{txt}{col 49}R-squared{col 67}= {res}    0.0394
{txt}{col 49}Adj R-squared{col 67}= {res}    0.0363
{txt}{col 49}Root MSE{col 67}= {res}    0.5869

{txt}{ralign 78:(Std. Err. adjusted for {res:187} clusters in hc_id)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}  e_patsat_z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2} .0766279{col 26}{space 2} .0242478{col 37}{space 1}    3.16{col 46}{space 3}0.002{col 54}{space 4} .0287919{col 67}{space 3}  .124464
{txt}{space 2}b_patsat_z {c |}{col 14}{res}{space 2} .1391849{col 26}{space 2} .0151653{col 37}{space 1}    9.18{col 46}{space 3}0.000{col 54}{space 4} .1092669{col 67}{space 3}  .169103
{txt}b_patsat_z_d {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 1}c_tfull_hc2 {c |}{col 14}{res}{space 2}-.0559382{col 26}{space 2} .0292099{col 37}{space 1}   -1.92{col 46}{space 3}0.057{col 54}{space 4}-.1135635{col 67}{space 3} .0016871
{txt}c_tfull_b_~l {c |}{col 14}{res}{space 2} .0029132{col 26}{space 2}  .038816{col 37}{space 1}    0.08{col 46}{space 3}0.940{col 54}{space 4}-.0736631{col 67}{space 3} .0794894
{txt}c_tfull_b_~s {c |}{col 14}{res}{space 2}  .014223{col 26}{space 2} .0540938{col 37}{space 1}    0.26{col 46}{space 3}0.793{col 54}{space 4}-.0924932{col 67}{space 3} .1209392
{txt}c_tfull_b_~d {c |}{col 14}{res}{space 2}-.0090924{col 26}{space 2} .0266171{col 37}{space 1}   -0.34{col 46}{space 3}0.733{col 54}{space 4}-.0616027{col 67}{space 3} .0434179
{txt}c_tfull_ed~r {c |}{col 14}{res}{space 2} .0031544{col 26}{space 2} .0018384{col 37}{space 1}    1.72{col 46}{space 3}0.088{col 54}{space 4}-.0004724{col 67}{space 3} .0067812
{txt}c_tfull_b_~x {c |}{col 14}{res}{space 2} .0006674{col 26}{space 2} .0074343{col 37}{space 1}    0.09{col 46}{space 3}0.929{col 54}{space 4} -.013999{col 67}{space 3} .0153338
{txt}{space 7}_cons {c |}{col 14}{res}{space 2}-.0020586{col 26}{space 2} .0179785{col 37}{space 1}   -0.11{col 46}{space 3}0.909{col 54}{space 4}-.0375267{col 67}{space 3} .0334095
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull = .118{p_end}

{txt}       F(  1,   186) ={res}    2.91
{txt}{col 13}Prob > F ={res}    0.0896

{p 0 7}{space 1}{text:( 1)}{space 1} treatfull = -.118{p_end}

{txt}       F(  1,   186) ={res}   64.43
{txt}{col 13}Prob > F ={res}    0.0000
{txt}note: b_patsat_z_d omitted because of collinearity
{res}
{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}     7,288
{txt}{col 49}F({res}   8{txt},{res}    186{txt}){col 67}= {res}     14.25
{txt}{col 49}Prob > F{col 67}= {res}    0.0000
{txt}{col 49}R-squared{col 67}= {res}    0.0394
{txt}{col 49}Adj R-squared{col 67}= {res}    0.0363
{txt}{col 49}Root MSE{col 67}= {res}    0.5869

{txt}{ralign 78:(Std. Err. adjusted for {res:187} clusters in hc_id)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}  e_patsat_z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2} .0766279{col 26}{space 2} .0242478{col 37}{space 1}    3.16{col 46}{space 3}0.002{col 54}{space 4} .0287919{col 67}{space 3}  .124464
{txt}{space 2}b_patsat_z {c |}{col 14}{res}{space 2} .1391849{col 26}{space 2} .0151653{col 37}{space 1}    9.18{col 46}{space 3}0.000{col 54}{space 4} .1092669{col 67}{space 3}  .169103
{txt}b_patsat_z_d {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 1}c_tfull_hc2 {c |}{col 14}{res}{space 2}-.0559382{col 26}{space 2} .0292099{col 37}{space 1}   -1.92{col 46}{space 3}0.057{col 54}{space 4}-.1135635{col 67}{space 3} .0016871
{txt}c_tfull_b_~l {c |}{col 14}{res}{space 2} .0029132{col 26}{space 2}  .038816{col 37}{space 1}    0.08{col 46}{space 3}0.940{col 54}{space 4}-.0736631{col 67}{space 3} .0794894
{txt}c_tfull_b_~s {c |}{col 14}{res}{space 2}  .014223{col 26}{space 2} .0540938{col 37}{space 1}    0.26{col 46}{space 3}0.793{col 54}{space 4}-.0924932{col 67}{space 3} .1209392
{txt}c_tfull_b_~d {c |}{col 14}{res}{space 2}-.0090924{col 26}{space 2} .0266171{col 37}{space 1}   -0.34{col 46}{space 3}0.733{col 54}{space 4}-.0616027{col 67}{space 3} .0434179
{txt}c_tfull_ed~r {c |}{col 14}{res}{space 2} .0031544{col 26}{space 2} .0018384{col 37}{space 1}    1.72{col 46}{space 3}0.088{col 54}{space 4}-.0004724{col 67}{space 3} .0067812
{txt}c_tfull_b_~x {c |}{col 14}{res}{space 2} .0006674{col 26}{space 2} .0074343{col 37}{space 1}    0.09{col 46}{space 3}0.929{col 54}{space 4} -.013999{col 67}{space 3} .0153338
{txt}{space 7}_cons {c |}{col 14}{res}{space 2}-.0020586{col 26}{space 2} .0179785{col 37}{space 1}   -0.11{col 46}{space 3}0.909{col 54}{space 4}-.0375267{col 67}{space 3} .0334095
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull = .119{p_end}

{txt}       F(  1,   186) ={res}    3.05
{txt}{col 13}Prob > F ={res}    0.0822

{p 0 7}{space 1}{text:( 1)}{space 1} treatfull = -.119{p_end}

{txt}       F(  1,   186) ={res}   65.09
{txt}{col 13}Prob > F ={res}    0.0000
{txt}note: b_patsat_z_d omitted because of collinearity
{res}
{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}     7,288
{txt}{col 49}F({res}   8{txt},{res}    186{txt}){col 67}= {res}     14.25
{txt}{col 49}Prob > F{col 67}= {res}    0.0000
{txt}{col 49}R-squared{col 67}= {res}    0.0394
{txt}{col 49}Adj R-squared{col 67}= {res}    0.0363
{txt}{col 49}Root MSE{col 67}= {res}    0.5869

{txt}{ralign 78:(Std. Err. adjusted for {res:187} clusters in hc_id)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}  e_patsat_z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2} .0766279{col 26}{space 2} .0242478{col 37}{space 1}    3.16{col 46}{space 3}0.002{col 54}{space 4} .0287919{col 67}{space 3}  .124464
{txt}{space 2}b_patsat_z {c |}{col 14}{res}{space 2} .1391849{col 26}{space 2} .0151653{col 37}{space 1}    9.18{col 46}{space 3}0.000{col 54}{space 4} .1092669{col 67}{space 3}  .169103
{txt}b_patsat_z_d {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 1}c_tfull_hc2 {c |}{col 14}{res}{space 2}-.0559382{col 26}{space 2} .0292099{col 37}{space 1}   -1.92{col 46}{space 3}0.057{col 54}{space 4}-.1135635{col 67}{space 3} .0016871
{txt}c_tfull_b_~l {c |}{col 14}{res}{space 2} .0029132{col 26}{space 2}  .038816{col 37}{space 1}    0.08{col 46}{space 3}0.940{col 54}{space 4}-.0736631{col 67}{space 3} .0794894
{txt}c_tfull_b_~s {c |}{col 14}{res}{space 2}  .014223{col 26}{space 2} .0540938{col 37}{space 1}    0.26{col 46}{space 3}0.793{col 54}{space 4}-.0924932{col 67}{space 3} .1209392
{txt}c_tfull_b_~d {c |}{col 14}{res}{space 2}-.0090924{col 26}{space 2} .0266171{col 37}{space 1}   -0.34{col 46}{space 3}0.733{col 54}{space 4}-.0616027{col 67}{space 3} .0434179
{txt}c_tfull_ed~r {c |}{col 14}{res}{space 2} .0031544{col 26}{space 2} .0018384{col 37}{space 1}    1.72{col 46}{space 3}0.088{col 54}{space 4}-.0004724{col 67}{space 3} .0067812
{txt}c_tfull_b_~x {c |}{col 14}{res}{space 2} .0006674{col 26}{space 2} .0074343{col 37}{space 1}    0.09{col 46}{space 3}0.929{col 54}{space 4} -.013999{col 67}{space 3} .0153338
{txt}{space 7}_cons {c |}{col 14}{res}{space 2}-.0020586{col 26}{space 2} .0179785{col 37}{space 1}   -0.11{col 46}{space 3}0.909{col 54}{space 4}-.0375267{col 67}{space 3} .0334095
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull = .12{p_end}

{txt}       F(  1,   186) ={res}    3.20
{txt}{col 13}Prob > F ={res}    0.0753

{p 0 7}{space 1}{text:( 1)}{space 1} treatfull = -.12{p_end}

{txt}       F(  1,   186) ={res}   65.76
{txt}{col 13}Prob > F ={res}    0.0000
{txt}note: b_patsat_z_d omitted because of collinearity
{res}
{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}     7,288
{txt}{col 49}F({res}   8{txt},{res}    186{txt}){col 67}= {res}     14.25
{txt}{col 49}Prob > F{col 67}= {res}    0.0000
{txt}{col 49}R-squared{col 67}= {res}    0.0394
{txt}{col 49}Adj R-squared{col 67}= {res}    0.0363
{txt}{col 49}Root MSE{col 67}= {res}    0.5869

{txt}{ralign 78:(Std. Err. adjusted for {res:187} clusters in hc_id)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}  e_patsat_z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2} .0766279{col 26}{space 2} .0242478{col 37}{space 1}    3.16{col 46}{space 3}0.002{col 54}{space 4} .0287919{col 67}{space 3}  .124464
{txt}{space 2}b_patsat_z {c |}{col 14}{res}{space 2} .1391849{col 26}{space 2} .0151653{col 37}{space 1}    9.18{col 46}{space 3}0.000{col 54}{space 4} .1092669{col 67}{space 3}  .169103
{txt}b_patsat_z_d {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 1}c_tfull_hc2 {c |}{col 14}{res}{space 2}-.0559382{col 26}{space 2} .0292099{col 37}{space 1}   -1.92{col 46}{space 3}0.057{col 54}{space 4}-.1135635{col 67}{space 3} .0016871
{txt}c_tfull_b_~l {c |}{col 14}{res}{space 2} .0029132{col 26}{space 2}  .038816{col 37}{space 1}    0.08{col 46}{space 3}0.940{col 54}{space 4}-.0736631{col 67}{space 3} .0794894
{txt}c_tfull_b_~s {c |}{col 14}{res}{space 2}  .014223{col 26}{space 2} .0540938{col 37}{space 1}    0.26{col 46}{space 3}0.793{col 54}{space 4}-.0924932{col 67}{space 3} .1209392
{txt}c_tfull_b_~d {c |}{col 14}{res}{space 2}-.0090924{col 26}{space 2} .0266171{col 37}{space 1}   -0.34{col 46}{space 3}0.733{col 54}{space 4}-.0616027{col 67}{space 3} .0434179
{txt}c_tfull_ed~r {c |}{col 14}{res}{space 2} .0031544{col 26}{space 2} .0018384{col 37}{space 1}    1.72{col 46}{space 3}0.088{col 54}{space 4}-.0004724{col 67}{space 3} .0067812
{txt}c_tfull_b_~x {c |}{col 14}{res}{space 2} .0006674{col 26}{space 2} .0074343{col 37}{space 1}    0.09{col 46}{space 3}0.929{col 54}{space 4} -.013999{col 67}{space 3} .0153338
{txt}{space 7}_cons {c |}{col 14}{res}{space 2}-.0020586{col 26}{space 2} .0179785{col 37}{space 1}   -0.11{col 46}{space 3}0.909{col 54}{space 4}-.0375267{col 67}{space 3} .0334095
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull = .121{p_end}

{txt}       F(  1,   186) ={res}    3.35
{txt}{col 13}Prob > F ={res}    0.0689

{p 0 7}{space 1}{text:( 1)}{space 1} treatfull = -.121{p_end}

{txt}       F(  1,   186) ={res}   66.43
{txt}{col 13}Prob > F ={res}    0.0000
{txt}note: b_patsat_z_d omitted because of collinearity
{res}
{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}     7,288
{txt}{col 49}F({res}   8{txt},{res}    186{txt}){col 67}= {res}     14.25
{txt}{col 49}Prob > F{col 67}= {res}    0.0000
{txt}{col 49}R-squared{col 67}= {res}    0.0394
{txt}{col 49}Adj R-squared{col 67}= {res}    0.0363
{txt}{col 49}Root MSE{col 67}= {res}    0.5869

{txt}{ralign 78:(Std. Err. adjusted for {res:187} clusters in hc_id)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}  e_patsat_z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2} .0766279{col 26}{space 2} .0242478{col 37}{space 1}    3.16{col 46}{space 3}0.002{col 54}{space 4} .0287919{col 67}{space 3}  .124464
{txt}{space 2}b_patsat_z {c |}{col 14}{res}{space 2} .1391849{col 26}{space 2} .0151653{col 37}{space 1}    9.18{col 46}{space 3}0.000{col 54}{space 4} .1092669{col 67}{space 3}  .169103
{txt}b_patsat_z_d {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 1}c_tfull_hc2 {c |}{col 14}{res}{space 2}-.0559382{col 26}{space 2} .0292099{col 37}{space 1}   -1.92{col 46}{space 3}0.057{col 54}{space 4}-.1135635{col 67}{space 3} .0016871
{txt}c_tfull_b_~l {c |}{col 14}{res}{space 2} .0029132{col 26}{space 2}  .038816{col 37}{space 1}    0.08{col 46}{space 3}0.940{col 54}{space 4}-.0736631{col 67}{space 3} .0794894
{txt}c_tfull_b_~s {c |}{col 14}{res}{space 2}  .014223{col 26}{space 2} .0540938{col 37}{space 1}    0.26{col 46}{space 3}0.793{col 54}{space 4}-.0924932{col 67}{space 3} .1209392
{txt}c_tfull_b_~d {c |}{col 14}{res}{space 2}-.0090924{col 26}{space 2} .0266171{col 37}{space 1}   -0.34{col 46}{space 3}0.733{col 54}{space 4}-.0616027{col 67}{space 3} .0434179
{txt}c_tfull_ed~r {c |}{col 14}{res}{space 2} .0031544{col 26}{space 2} .0018384{col 37}{space 1}    1.72{col 46}{space 3}0.088{col 54}{space 4}-.0004724{col 67}{space 3} .0067812
{txt}c_tfull_b_~x {c |}{col 14}{res}{space 2} .0006674{col 26}{space 2} .0074343{col 37}{space 1}    0.09{col 46}{space 3}0.929{col 54}{space 4} -.013999{col 67}{space 3} .0153338
{txt}{space 7}_cons {c |}{col 14}{res}{space 2}-.0020586{col 26}{space 2} .0179785{col 37}{space 1}   -0.11{col 46}{space 3}0.909{col 54}{space 4}-.0375267{col 67}{space 3} .0334095
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull = .122{p_end}

{txt}       F(  1,   186) ={res}    3.50
{txt}{col 13}Prob > F ={res}    0.0629

{p 0 7}{space 1}{text:( 1)}{space 1} treatfull = -.122{p_end}

{txt}       F(  1,   186) ={res}   67.10
{txt}{col 13}Prob > F ={res}    0.0000
{txt}note: b_patsat_z_d omitted because of collinearity
{res}
{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}     7,288
{txt}{col 49}F({res}   8{txt},{res}    186{txt}){col 67}= {res}     14.25
{txt}{col 49}Prob > F{col 67}= {res}    0.0000
{txt}{col 49}R-squared{col 67}= {res}    0.0394
{txt}{col 49}Adj R-squared{col 67}= {res}    0.0363
{txt}{col 49}Root MSE{col 67}= {res}    0.5869

{txt}{ralign 78:(Std. Err. adjusted for {res:187} clusters in hc_id)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}  e_patsat_z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2} .0766279{col 26}{space 2} .0242478{col 37}{space 1}    3.16{col 46}{space 3}0.002{col 54}{space 4} .0287919{col 67}{space 3}  .124464
{txt}{space 2}b_patsat_z {c |}{col 14}{res}{space 2} .1391849{col 26}{space 2} .0151653{col 37}{space 1}    9.18{col 46}{space 3}0.000{col 54}{space 4} .1092669{col 67}{space 3}  .169103
{txt}b_patsat_z_d {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 1}c_tfull_hc2 {c |}{col 14}{res}{space 2}-.0559382{col 26}{space 2} .0292099{col 37}{space 1}   -1.92{col 46}{space 3}0.057{col 54}{space 4}-.1135635{col 67}{space 3} .0016871
{txt}c_tfull_b_~l {c |}{col 14}{res}{space 2} .0029132{col 26}{space 2}  .038816{col 37}{space 1}    0.08{col 46}{space 3}0.940{col 54}{space 4}-.0736631{col 67}{space 3} .0794894
{txt}c_tfull_b_~s {c |}{col 14}{res}{space 2}  .014223{col 26}{space 2} .0540938{col 37}{space 1}    0.26{col 46}{space 3}0.793{col 54}{space 4}-.0924932{col 67}{space 3} .1209392
{txt}c_tfull_b_~d {c |}{col 14}{res}{space 2}-.0090924{col 26}{space 2} .0266171{col 37}{space 1}   -0.34{col 46}{space 3}0.733{col 54}{space 4}-.0616027{col 67}{space 3} .0434179
{txt}c_tfull_ed~r {c |}{col 14}{res}{space 2} .0031544{col 26}{space 2} .0018384{col 37}{space 1}    1.72{col 46}{space 3}0.088{col 54}{space 4}-.0004724{col 67}{space 3} .0067812
{txt}c_tfull_b_~x {c |}{col 14}{res}{space 2} .0006674{col 26}{space 2} .0074343{col 37}{space 1}    0.09{col 46}{space 3}0.929{col 54}{space 4} -.013999{col 67}{space 3} .0153338
{txt}{space 7}_cons {c |}{col 14}{res}{space 2}-.0020586{col 26}{space 2} .0179785{col 37}{space 1}   -0.11{col 46}{space 3}0.909{col 54}{space 4}-.0375267{col 67}{space 3} .0334095
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull = .123{p_end}

{txt}       F(  1,   186) ={res}    3.66
{txt}{col 13}Prob > F ={res}    0.0574

{p 0 7}{space 1}{text:( 1)}{space 1} treatfull = -.123{p_end}

{txt}       F(  1,   186) ={res}   67.78
{txt}{col 13}Prob > F ={res}    0.0000
{txt}note: b_patsat_z_d omitted because of collinearity
{res}
{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}     7,288
{txt}{col 49}F({res}   8{txt},{res}    186{txt}){col 67}= {res}     14.25
{txt}{col 49}Prob > F{col 67}= {res}    0.0000
{txt}{col 49}R-squared{col 67}= {res}    0.0394
{txt}{col 49}Adj R-squared{col 67}= {res}    0.0363
{txt}{col 49}Root MSE{col 67}= {res}    0.5869

{txt}{ralign 78:(Std. Err. adjusted for {res:187} clusters in hc_id)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}  e_patsat_z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2} .0766279{col 26}{space 2} .0242478{col 37}{space 1}    3.16{col 46}{space 3}0.002{col 54}{space 4} .0287919{col 67}{space 3}  .124464
{txt}{space 2}b_patsat_z {c |}{col 14}{res}{space 2} .1391849{col 26}{space 2} .0151653{col 37}{space 1}    9.18{col 46}{space 3}0.000{col 54}{space 4} .1092669{col 67}{space 3}  .169103
{txt}b_patsat_z_d {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 1}c_tfull_hc2 {c |}{col 14}{res}{space 2}-.0559382{col 26}{space 2} .0292099{col 37}{space 1}   -1.92{col 46}{space 3}0.057{col 54}{space 4}-.1135635{col 67}{space 3} .0016871
{txt}c_tfull_b_~l {c |}{col 14}{res}{space 2} .0029132{col 26}{space 2}  .038816{col 37}{space 1}    0.08{col 46}{space 3}0.940{col 54}{space 4}-.0736631{col 67}{space 3} .0794894
{txt}c_tfull_b_~s {c |}{col 14}{res}{space 2}  .014223{col 26}{space 2} .0540938{col 37}{space 1}    0.26{col 46}{space 3}0.793{col 54}{space 4}-.0924932{col 67}{space 3} .1209392
{txt}c_tfull_b_~d {c |}{col 14}{res}{space 2}-.0090924{col 26}{space 2} .0266171{col 37}{space 1}   -0.34{col 46}{space 3}0.733{col 54}{space 4}-.0616027{col 67}{space 3} .0434179
{txt}c_tfull_ed~r {c |}{col 14}{res}{space 2} .0031544{col 26}{space 2} .0018384{col 37}{space 1}    1.72{col 46}{space 3}0.088{col 54}{space 4}-.0004724{col 67}{space 3} .0067812
{txt}c_tfull_b_~x {c |}{col 14}{res}{space 2} .0006674{col 26}{space 2} .0074343{col 37}{space 1}    0.09{col 46}{space 3}0.929{col 54}{space 4} -.013999{col 67}{space 3} .0153338
{txt}{space 7}_cons {c |}{col 14}{res}{space 2}-.0020586{col 26}{space 2} .0179785{col 37}{space 1}   -0.11{col 46}{space 3}0.909{col 54}{space 4}-.0375267{col 67}{space 3} .0334095
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull = .124{p_end}

{txt}       F(  1,   186) ={res}    3.82
{txt}{col 13}Prob > F ={res}    0.0522

{p 0 7}{space 1}{text:( 1)}{space 1} treatfull = -.124{p_end}

{txt}       F(  1,   186) ={res}   68.46
{txt}{col 13}Prob > F ={res}    0.0000
{txt}note: b_patsat_z_d omitted because of collinearity
{res}
{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}     7,288
{txt}{col 49}F({res}   8{txt},{res}    186{txt}){col 67}= {res}     14.25
{txt}{col 49}Prob > F{col 67}= {res}    0.0000
{txt}{col 49}R-squared{col 67}= {res}    0.0394
{txt}{col 49}Adj R-squared{col 67}= {res}    0.0363
{txt}{col 49}Root MSE{col 67}= {res}    0.5869

{txt}{ralign 78:(Std. Err. adjusted for {res:187} clusters in hc_id)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}  e_patsat_z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2} .0766279{col 26}{space 2} .0242478{col 37}{space 1}    3.16{col 46}{space 3}0.002{col 54}{space 4} .0287919{col 67}{space 3}  .124464
{txt}{space 2}b_patsat_z {c |}{col 14}{res}{space 2} .1391849{col 26}{space 2} .0151653{col 37}{space 1}    9.18{col 46}{space 3}0.000{col 54}{space 4} .1092669{col 67}{space 3}  .169103
{txt}b_patsat_z_d {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 1}c_tfull_hc2 {c |}{col 14}{res}{space 2}-.0559382{col 26}{space 2} .0292099{col 37}{space 1}   -1.92{col 46}{space 3}0.057{col 54}{space 4}-.1135635{col 67}{space 3} .0016871
{txt}c_tfull_b_~l {c |}{col 14}{res}{space 2} .0029132{col 26}{space 2}  .038816{col 37}{space 1}    0.08{col 46}{space 3}0.940{col 54}{space 4}-.0736631{col 67}{space 3} .0794894
{txt}c_tfull_b_~s {c |}{col 14}{res}{space 2}  .014223{col 26}{space 2} .0540938{col 37}{space 1}    0.26{col 46}{space 3}0.793{col 54}{space 4}-.0924932{col 67}{space 3} .1209392
{txt}c_tfull_b_~d {c |}{col 14}{res}{space 2}-.0090924{col 26}{space 2} .0266171{col 37}{space 1}   -0.34{col 46}{space 3}0.733{col 54}{space 4}-.0616027{col 67}{space 3} .0434179
{txt}c_tfull_ed~r {c |}{col 14}{res}{space 2} .0031544{col 26}{space 2} .0018384{col 37}{space 1}    1.72{col 46}{space 3}0.088{col 54}{space 4}-.0004724{col 67}{space 3} .0067812
{txt}c_tfull_b_~x {c |}{col 14}{res}{space 2} .0006674{col 26}{space 2} .0074343{col 37}{space 1}    0.09{col 46}{space 3}0.929{col 54}{space 4} -.013999{col 67}{space 3} .0153338
{txt}{space 7}_cons {c |}{col 14}{res}{space 2}-.0020586{col 26}{space 2} .0179785{col 37}{space 1}   -0.11{col 46}{space 3}0.909{col 54}{space 4}-.0375267{col 67}{space 3} .0334095
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull = .125{p_end}

{txt}       F(  1,   186) ={res}    3.98
{txt}{col 13}Prob > F ={res}    0.0475

{p 0 7}{space 1}{text:( 1)}{space 1} treatfull = -.125{p_end}

{txt}       F(  1,   186) ={res}   69.14
{txt}{col 13}Prob > F ={res}    0.0000
{txt}note: b_patsat_z_d omitted because of collinearity
{res}
{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}     7,288
{txt}{col 49}F({res}   8{txt},{res}    186{txt}){col 67}= {res}     14.25
{txt}{col 49}Prob > F{col 67}= {res}    0.0000
{txt}{col 49}R-squared{col 67}= {res}    0.0394
{txt}{col 49}Adj R-squared{col 67}= {res}    0.0363
{txt}{col 49}Root MSE{col 67}= {res}    0.5869

{txt}{ralign 78:(Std. Err. adjusted for {res:187} clusters in hc_id)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}  e_patsat_z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2} .0766279{col 26}{space 2} .0242478{col 37}{space 1}    3.16{col 46}{space 3}0.002{col 54}{space 4} .0287919{col 67}{space 3}  .124464
{txt}{space 2}b_patsat_z {c |}{col 14}{res}{space 2} .1391849{col 26}{space 2} .0151653{col 37}{space 1}    9.18{col 46}{space 3}0.000{col 54}{space 4} .1092669{col 67}{space 3}  .169103
{txt}b_patsat_z_d {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 1}c_tfull_hc2 {c |}{col 14}{res}{space 2}-.0559382{col 26}{space 2} .0292099{col 37}{space 1}   -1.92{col 46}{space 3}0.057{col 54}{space 4}-.1135635{col 67}{space 3} .0016871
{txt}c_tfull_b_~l {c |}{col 14}{res}{space 2} .0029132{col 26}{space 2}  .038816{col 37}{space 1}    0.08{col 46}{space 3}0.940{col 54}{space 4}-.0736631{col 67}{space 3} .0794894
{txt}c_tfull_b_~s {c |}{col 14}{res}{space 2}  .014223{col 26}{space 2} .0540938{col 37}{space 1}    0.26{col 46}{space 3}0.793{col 54}{space 4}-.0924932{col 67}{space 3} .1209392
{txt}c_tfull_b_~d {c |}{col 14}{res}{space 2}-.0090924{col 26}{space 2} .0266171{col 37}{space 1}   -0.34{col 46}{space 3}0.733{col 54}{space 4}-.0616027{col 67}{space 3} .0434179
{txt}c_tfull_ed~r {c |}{col 14}{res}{space 2} .0031544{col 26}{space 2} .0018384{col 37}{space 1}    1.72{col 46}{space 3}0.088{col 54}{space 4}-.0004724{col 67}{space 3} .0067812
{txt}c_tfull_b_~x {c |}{col 14}{res}{space 2} .0006674{col 26}{space 2} .0074343{col 37}{space 1}    0.09{col 46}{space 3}0.929{col 54}{space 4} -.013999{col 67}{space 3} .0153338
{txt}{space 7}_cons {c |}{col 14}{res}{space 2}-.0020586{col 26}{space 2} .0179785{col 37}{space 1}   -0.11{col 46}{space 3}0.909{col 54}{space 4}-.0375267{col 67}{space 3} .0334095
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull = .126{p_end}

{txt}       F(  1,   186) ={res}    4.15
{txt}{col 13}Prob > F ={res}    0.0432

{p 0 7}{space 1}{text:( 1)}{space 1} treatfull = -.126{p_end}

{txt}       F(  1,   186) ={res}   69.83
{txt}{col 13}Prob > F ={res}    0.0000
{txt}note: b_patsat_z_d omitted because of collinearity
{res}
{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}     7,288
{txt}{col 49}F({res}   8{txt},{res}    186{txt}){col 67}= {res}     14.25
{txt}{col 49}Prob > F{col 67}= {res}    0.0000
{txt}{col 49}R-squared{col 67}= {res}    0.0394
{txt}{col 49}Adj R-squared{col 67}= {res}    0.0363
{txt}{col 49}Root MSE{col 67}= {res}    0.5869

{txt}{ralign 78:(Std. Err. adjusted for {res:187} clusters in hc_id)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}  e_patsat_z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2} .0766279{col 26}{space 2} .0242478{col 37}{space 1}    3.16{col 46}{space 3}0.002{col 54}{space 4} .0287919{col 67}{space 3}  .124464
{txt}{space 2}b_patsat_z {c |}{col 14}{res}{space 2} .1391849{col 26}{space 2} .0151653{col 37}{space 1}    9.18{col 46}{space 3}0.000{col 54}{space 4} .1092669{col 67}{space 3}  .169103
{txt}b_patsat_z_d {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 1}c_tfull_hc2 {c |}{col 14}{res}{space 2}-.0559382{col 26}{space 2} .0292099{col 37}{space 1}   -1.92{col 46}{space 3}0.057{col 54}{space 4}-.1135635{col 67}{space 3} .0016871
{txt}c_tfull_b_~l {c |}{col 14}{res}{space 2} .0029132{col 26}{space 2}  .038816{col 37}{space 1}    0.08{col 46}{space 3}0.940{col 54}{space 4}-.0736631{col 67}{space 3} .0794894
{txt}c_tfull_b_~s {c |}{col 14}{res}{space 2}  .014223{col 26}{space 2} .0540938{col 37}{space 1}    0.26{col 46}{space 3}0.793{col 54}{space 4}-.0924932{col 67}{space 3} .1209392
{txt}c_tfull_b_~d {c |}{col 14}{res}{space 2}-.0090924{col 26}{space 2} .0266171{col 37}{space 1}   -0.34{col 46}{space 3}0.733{col 54}{space 4}-.0616027{col 67}{space 3} .0434179
{txt}c_tfull_ed~r {c |}{col 14}{res}{space 2} .0031544{col 26}{space 2} .0018384{col 37}{space 1}    1.72{col 46}{space 3}0.088{col 54}{space 4}-.0004724{col 67}{space 3} .0067812
{txt}c_tfull_b_~x {c |}{col 14}{res}{space 2} .0006674{col 26}{space 2} .0074343{col 37}{space 1}    0.09{col 46}{space 3}0.929{col 54}{space 4} -.013999{col 67}{space 3} .0153338
{txt}{space 7}_cons {c |}{col 14}{res}{space 2}-.0020586{col 26}{space 2} .0179785{col 37}{space 1}   -0.11{col 46}{space 3}0.909{col 54}{space 4}-.0375267{col 67}{space 3} .0334095
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull = .127{p_end}

{txt}       F(  1,   186) ={res}    4.32
{txt}{col 13}Prob > F ={res}    0.0391

{p 0 7}{space 1}{text:( 1)}{space 1} treatfull = -.127{p_end}

{txt}       F(  1,   186) ={res}   70.52
{txt}{col 13}Prob > F ={res}    0.0000
{txt}note: b_patsat_z_d omitted because of collinearity
{res}
{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}     7,288
{txt}{col 49}F({res}   8{txt},{res}    186{txt}){col 67}= {res}     14.25
{txt}{col 49}Prob > F{col 67}= {res}    0.0000
{txt}{col 49}R-squared{col 67}= {res}    0.0394
{txt}{col 49}Adj R-squared{col 67}= {res}    0.0363
{txt}{col 49}Root MSE{col 67}= {res}    0.5869

{txt}{ralign 78:(Std. Err. adjusted for {res:187} clusters in hc_id)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}  e_patsat_z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2} .0766279{col 26}{space 2} .0242478{col 37}{space 1}    3.16{col 46}{space 3}0.002{col 54}{space 4} .0287919{col 67}{space 3}  .124464
{txt}{space 2}b_patsat_z {c |}{col 14}{res}{space 2} .1391849{col 26}{space 2} .0151653{col 37}{space 1}    9.18{col 46}{space 3}0.000{col 54}{space 4} .1092669{col 67}{space 3}  .169103
{txt}b_patsat_z_d {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 1}c_tfull_hc2 {c |}{col 14}{res}{space 2}-.0559382{col 26}{space 2} .0292099{col 37}{space 1}   -1.92{col 46}{space 3}0.057{col 54}{space 4}-.1135635{col 67}{space 3} .0016871
{txt}c_tfull_b_~l {c |}{col 14}{res}{space 2} .0029132{col 26}{space 2}  .038816{col 37}{space 1}    0.08{col 46}{space 3}0.940{col 54}{space 4}-.0736631{col 67}{space 3} .0794894
{txt}c_tfull_b_~s {c |}{col 14}{res}{space 2}  .014223{col 26}{space 2} .0540938{col 37}{space 1}    0.26{col 46}{space 3}0.793{col 54}{space 4}-.0924932{col 67}{space 3} .1209392
{txt}c_tfull_b_~d {c |}{col 14}{res}{space 2}-.0090924{col 26}{space 2} .0266171{col 37}{space 1}   -0.34{col 46}{space 3}0.733{col 54}{space 4}-.0616027{col 67}{space 3} .0434179
{txt}c_tfull_ed~r {c |}{col 14}{res}{space 2} .0031544{col 26}{space 2} .0018384{col 37}{space 1}    1.72{col 46}{space 3}0.088{col 54}{space 4}-.0004724{col 67}{space 3} .0067812
{txt}c_tfull_b_~x {c |}{col 14}{res}{space 2} .0006674{col 26}{space 2} .0074343{col 37}{space 1}    0.09{col 46}{space 3}0.929{col 54}{space 4} -.013999{col 67}{space 3} .0153338
{txt}{space 7}_cons {c |}{col 14}{res}{space 2}-.0020586{col 26}{space 2} .0179785{col 37}{space 1}   -0.11{col 46}{space 3}0.909{col 54}{space 4}-.0375267{col 67}{space 3} .0334095
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull = .128{p_end}

{txt}       F(  1,   186) ={res}    4.49
{txt}{col 13}Prob > F ={res}    0.0354

{p 0 7}{space 1}{text:( 1)}{space 1} treatfull = -.128{p_end}

{txt}       F(  1,   186) ={res}   71.22
{txt}{col 13}Prob > F ={res}    0.0000
{txt}note: b_patsat_z_d omitted because of collinearity
{res}
{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}     7,288
{txt}{col 49}F({res}   8{txt},{res}    186{txt}){col 67}= {res}     14.25
{txt}{col 49}Prob > F{col 67}= {res}    0.0000
{txt}{col 49}R-squared{col 67}= {res}    0.0394
{txt}{col 49}Adj R-squared{col 67}= {res}    0.0363
{txt}{col 49}Root MSE{col 67}= {res}    0.5869

{txt}{ralign 78:(Std. Err. adjusted for {res:187} clusters in hc_id)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}  e_patsat_z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2} .0766279{col 26}{space 2} .0242478{col 37}{space 1}    3.16{col 46}{space 3}0.002{col 54}{space 4} .0287919{col 67}{space 3}  .124464
{txt}{space 2}b_patsat_z {c |}{col 14}{res}{space 2} .1391849{col 26}{space 2} .0151653{col 37}{space 1}    9.18{col 46}{space 3}0.000{col 54}{space 4} .1092669{col 67}{space 3}  .169103
{txt}b_patsat_z_d {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 1}c_tfull_hc2 {c |}{col 14}{res}{space 2}-.0559382{col 26}{space 2} .0292099{col 37}{space 1}   -1.92{col 46}{space 3}0.057{col 54}{space 4}-.1135635{col 67}{space 3} .0016871
{txt}c_tfull_b_~l {c |}{col 14}{res}{space 2} .0029132{col 26}{space 2}  .038816{col 37}{space 1}    0.08{col 46}{space 3}0.940{col 54}{space 4}-.0736631{col 67}{space 3} .0794894
{txt}c_tfull_b_~s {c |}{col 14}{res}{space 2}  .014223{col 26}{space 2} .0540938{col 37}{space 1}    0.26{col 46}{space 3}0.793{col 54}{space 4}-.0924932{col 67}{space 3} .1209392
{txt}c_tfull_b_~d {c |}{col 14}{res}{space 2}-.0090924{col 26}{space 2} .0266171{col 37}{space 1}   -0.34{col 46}{space 3}0.733{col 54}{space 4}-.0616027{col 67}{space 3} .0434179
{txt}c_tfull_ed~r {c |}{col 14}{res}{space 2} .0031544{col 26}{space 2} .0018384{col 37}{space 1}    1.72{col 46}{space 3}0.088{col 54}{space 4}-.0004724{col 67}{space 3} .0067812
{txt}c_tfull_b_~x {c |}{col 14}{res}{space 2} .0006674{col 26}{space 2} .0074343{col 37}{space 1}    0.09{col 46}{space 3}0.929{col 54}{space 4} -.013999{col 67}{space 3} .0153338
{txt}{space 7}_cons {c |}{col 14}{res}{space 2}-.0020586{col 26}{space 2} .0179785{col 37}{space 1}   -0.11{col 46}{space 3}0.909{col 54}{space 4}-.0375267{col 67}{space 3} .0334095
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull = .129{p_end}

{txt}       F(  1,   186) ={res}    4.67
{txt}{col 13}Prob > F ={res}    0.0321

{p 0 7}{space 1}{text:( 1)}{space 1} treatfull = -.129{p_end}

{txt}       F(  1,   186) ={res}   71.92
{txt}{col 13}Prob > F ={res}    0.0000
{txt}note: b_patsat_z_d omitted because of collinearity
{res}
{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}     7,288
{txt}{col 49}F({res}   8{txt},{res}    186{txt}){col 67}= {res}     14.25
{txt}{col 49}Prob > F{col 67}= {res}    0.0000
{txt}{col 49}R-squared{col 67}= {res}    0.0394
{txt}{col 49}Adj R-squared{col 67}= {res}    0.0363
{txt}{col 49}Root MSE{col 67}= {res}    0.5869

{txt}{ralign 78:(Std. Err. adjusted for {res:187} clusters in hc_id)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}  e_patsat_z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2} .0766279{col 26}{space 2} .0242478{col 37}{space 1}    3.16{col 46}{space 3}0.002{col 54}{space 4} .0287919{col 67}{space 3}  .124464
{txt}{space 2}b_patsat_z {c |}{col 14}{res}{space 2} .1391849{col 26}{space 2} .0151653{col 37}{space 1}    9.18{col 46}{space 3}0.000{col 54}{space 4} .1092669{col 67}{space 3}  .169103
{txt}b_patsat_z_d {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 1}c_tfull_hc2 {c |}{col 14}{res}{space 2}-.0559382{col 26}{space 2} .0292099{col 37}{space 1}   -1.92{col 46}{space 3}0.057{col 54}{space 4}-.1135635{col 67}{space 3} .0016871
{txt}c_tfull_b_~l {c |}{col 14}{res}{space 2} .0029132{col 26}{space 2}  .038816{col 37}{space 1}    0.08{col 46}{space 3}0.940{col 54}{space 4}-.0736631{col 67}{space 3} .0794894
{txt}c_tfull_b_~s {c |}{col 14}{res}{space 2}  .014223{col 26}{space 2} .0540938{col 37}{space 1}    0.26{col 46}{space 3}0.793{col 54}{space 4}-.0924932{col 67}{space 3} .1209392
{txt}c_tfull_b_~d {c |}{col 14}{res}{space 2}-.0090924{col 26}{space 2} .0266171{col 37}{space 1}   -0.34{col 46}{space 3}0.733{col 54}{space 4}-.0616027{col 67}{space 3} .0434179
{txt}c_tfull_ed~r {c |}{col 14}{res}{space 2} .0031544{col 26}{space 2} .0018384{col 37}{space 1}    1.72{col 46}{space 3}0.088{col 54}{space 4}-.0004724{col 67}{space 3} .0067812
{txt}c_tfull_b_~x {c |}{col 14}{res}{space 2} .0006674{col 26}{space 2} .0074343{col 37}{space 1}    0.09{col 46}{space 3}0.929{col 54}{space 4} -.013999{col 67}{space 3} .0153338
{txt}{space 7}_cons {c |}{col 14}{res}{space 2}-.0020586{col 26}{space 2} .0179785{col 37}{space 1}   -0.11{col 46}{space 3}0.909{col 54}{space 4}-.0375267{col 67}{space 3} .0334095
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull = .13{p_end}

{txt}       F(  1,   186) ={res}    4.84
{txt}{col 13}Prob > F ={res}    0.0290

{p 0 7}{space 1}{text:( 1)}{space 1} treatfull = -.13{p_end}

{txt}       F(  1,   186) ={res}   72.62
{txt}{col 13}Prob > F ={res}    0.0000
{txt}note: b_patsat_z_d omitted because of collinearity
{res}
{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}     7,288
{txt}{col 49}F({res}   8{txt},{res}    186{txt}){col 67}= {res}     14.25
{txt}{col 49}Prob > F{col 67}= {res}    0.0000
{txt}{col 49}R-squared{col 67}= {res}    0.0394
{txt}{col 49}Adj R-squared{col 67}= {res}    0.0363
{txt}{col 49}Root MSE{col 67}= {res}    0.5869

{txt}{ralign 78:(Std. Err. adjusted for {res:187} clusters in hc_id)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}  e_patsat_z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2} .0766279{col 26}{space 2} .0242478{col 37}{space 1}    3.16{col 46}{space 3}0.002{col 54}{space 4} .0287919{col 67}{space 3}  .124464
{txt}{space 2}b_patsat_z {c |}{col 14}{res}{space 2} .1391849{col 26}{space 2} .0151653{col 37}{space 1}    9.18{col 46}{space 3}0.000{col 54}{space 4} .1092669{col 67}{space 3}  .169103
{txt}b_patsat_z_d {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 1}c_tfull_hc2 {c |}{col 14}{res}{space 2}-.0559382{col 26}{space 2} .0292099{col 37}{space 1}   -1.92{col 46}{space 3}0.057{col 54}{space 4}-.1135635{col 67}{space 3} .0016871
{txt}c_tfull_b_~l {c |}{col 14}{res}{space 2} .0029132{col 26}{space 2}  .038816{col 37}{space 1}    0.08{col 46}{space 3}0.940{col 54}{space 4}-.0736631{col 67}{space 3} .0794894
{txt}c_tfull_b_~s {c |}{col 14}{res}{space 2}  .014223{col 26}{space 2} .0540938{col 37}{space 1}    0.26{col 46}{space 3}0.793{col 54}{space 4}-.0924932{col 67}{space 3} .1209392
{txt}c_tfull_b_~d {c |}{col 14}{res}{space 2}-.0090924{col 26}{space 2} .0266171{col 37}{space 1}   -0.34{col 46}{space 3}0.733{col 54}{space 4}-.0616027{col 67}{space 3} .0434179
{txt}c_tfull_ed~r {c |}{col 14}{res}{space 2} .0031544{col 26}{space 2} .0018384{col 37}{space 1}    1.72{col 46}{space 3}0.088{col 54}{space 4}-.0004724{col 67}{space 3} .0067812
{txt}c_tfull_b_~x {c |}{col 14}{res}{space 2} .0006674{col 26}{space 2} .0074343{col 37}{space 1}    0.09{col 46}{space 3}0.929{col 54}{space 4} -.013999{col 67}{space 3} .0153338
{txt}{space 7}_cons {c |}{col 14}{res}{space 2}-.0020586{col 26}{space 2} .0179785{col 37}{space 1}   -0.11{col 46}{space 3}0.909{col 54}{space 4}-.0375267{col 67}{space 3} .0334095
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull = .131{p_end}

{txt}       F(  1,   186) ={res}    5.03
{txt}{col 13}Prob > F ={res}    0.0261

{p 0 7}{space 1}{text:( 1)}{space 1} treatfull = -.131{p_end}

{txt}       F(  1,   186) ={res}   73.32
{txt}{col 13}Prob > F ={res}    0.0000
{txt}note: b_patsat_z_d omitted because of collinearity
{res}
{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}     7,288
{txt}{col 49}F({res}   8{txt},{res}    186{txt}){col 67}= {res}     14.25
{txt}{col 49}Prob > F{col 67}= {res}    0.0000
{txt}{col 49}R-squared{col 67}= {res}    0.0394
{txt}{col 49}Adj R-squared{col 67}= {res}    0.0363
{txt}{col 49}Root MSE{col 67}= {res}    0.5869

{txt}{ralign 78:(Std. Err. adjusted for {res:187} clusters in hc_id)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}  e_patsat_z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2} .0766279{col 26}{space 2} .0242478{col 37}{space 1}    3.16{col 46}{space 3}0.002{col 54}{space 4} .0287919{col 67}{space 3}  .124464
{txt}{space 2}b_patsat_z {c |}{col 14}{res}{space 2} .1391849{col 26}{space 2} .0151653{col 37}{space 1}    9.18{col 46}{space 3}0.000{col 54}{space 4} .1092669{col 67}{space 3}  .169103
{txt}b_patsat_z_d {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 1}c_tfull_hc2 {c |}{col 14}{res}{space 2}-.0559382{col 26}{space 2} .0292099{col 37}{space 1}   -1.92{col 46}{space 3}0.057{col 54}{space 4}-.1135635{col 67}{space 3} .0016871
{txt}c_tfull_b_~l {c |}{col 14}{res}{space 2} .0029132{col 26}{space 2}  .038816{col 37}{space 1}    0.08{col 46}{space 3}0.940{col 54}{space 4}-.0736631{col 67}{space 3} .0794894
{txt}c_tfull_b_~s {c |}{col 14}{res}{space 2}  .014223{col 26}{space 2} .0540938{col 37}{space 1}    0.26{col 46}{space 3}0.793{col 54}{space 4}-.0924932{col 67}{space 3} .1209392
{txt}c_tfull_b_~d {c |}{col 14}{res}{space 2}-.0090924{col 26}{space 2} .0266171{col 37}{space 1}   -0.34{col 46}{space 3}0.733{col 54}{space 4}-.0616027{col 67}{space 3} .0434179
{txt}c_tfull_ed~r {c |}{col 14}{res}{space 2} .0031544{col 26}{space 2} .0018384{col 37}{space 1}    1.72{col 46}{space 3}0.088{col 54}{space 4}-.0004724{col 67}{space 3} .0067812
{txt}c_tfull_b_~x {c |}{col 14}{res}{space 2} .0006674{col 26}{space 2} .0074343{col 37}{space 1}    0.09{col 46}{space 3}0.929{col 54}{space 4} -.013999{col 67}{space 3} .0153338
{txt}{space 7}_cons {c |}{col 14}{res}{space 2}-.0020586{col 26}{space 2} .0179785{col 37}{space 1}   -0.11{col 46}{space 3}0.909{col 54}{space 4}-.0375267{col 67}{space 3} .0334095
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull = .132{p_end}

{txt}       F(  1,   186) ={res}    5.21
{txt}{col 13}Prob > F ={res}    0.0235

{p 0 7}{space 1}{text:( 1)}{space 1} treatfull = -.132{p_end}

{txt}       F(  1,   186) ={res}   74.03
{txt}{col 13}Prob > F ={res}    0.0000
{txt}note: b_patsat_z_d omitted because of collinearity
{res}
{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}     7,288
{txt}{col 49}F({res}   8{txt},{res}    186{txt}){col 67}= {res}     14.25
{txt}{col 49}Prob > F{col 67}= {res}    0.0000
{txt}{col 49}R-squared{col 67}= {res}    0.0394
{txt}{col 49}Adj R-squared{col 67}= {res}    0.0363
{txt}{col 49}Root MSE{col 67}= {res}    0.5869

{txt}{ralign 78:(Std. Err. adjusted for {res:187} clusters in hc_id)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}  e_patsat_z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2} .0766279{col 26}{space 2} .0242478{col 37}{space 1}    3.16{col 46}{space 3}0.002{col 54}{space 4} .0287919{col 67}{space 3}  .124464
{txt}{space 2}b_patsat_z {c |}{col 14}{res}{space 2} .1391849{col 26}{space 2} .0151653{col 37}{space 1}    9.18{col 46}{space 3}0.000{col 54}{space 4} .1092669{col 67}{space 3}  .169103
{txt}b_patsat_z_d {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 1}c_tfull_hc2 {c |}{col 14}{res}{space 2}-.0559382{col 26}{space 2} .0292099{col 37}{space 1}   -1.92{col 46}{space 3}0.057{col 54}{space 4}-.1135635{col 67}{space 3} .0016871
{txt}c_tfull_b_~l {c |}{col 14}{res}{space 2} .0029132{col 26}{space 2}  .038816{col 37}{space 1}    0.08{col 46}{space 3}0.940{col 54}{space 4}-.0736631{col 67}{space 3} .0794894
{txt}c_tfull_b_~s {c |}{col 14}{res}{space 2}  .014223{col 26}{space 2} .0540938{col 37}{space 1}    0.26{col 46}{space 3}0.793{col 54}{space 4}-.0924932{col 67}{space 3} .1209392
{txt}c_tfull_b_~d {c |}{col 14}{res}{space 2}-.0090924{col 26}{space 2} .0266171{col 37}{space 1}   -0.34{col 46}{space 3}0.733{col 54}{space 4}-.0616027{col 67}{space 3} .0434179
{txt}c_tfull_ed~r {c |}{col 14}{res}{space 2} .0031544{col 26}{space 2} .0018384{col 37}{space 1}    1.72{col 46}{space 3}0.088{col 54}{space 4}-.0004724{col 67}{space 3} .0067812
{txt}c_tfull_b_~x {c |}{col 14}{res}{space 2} .0006674{col 26}{space 2} .0074343{col 37}{space 1}    0.09{col 46}{space 3}0.929{col 54}{space 4} -.013999{col 67}{space 3} .0153338
{txt}{space 7}_cons {c |}{col 14}{res}{space 2}-.0020586{col 26}{space 2} .0179785{col 37}{space 1}   -0.11{col 46}{space 3}0.909{col 54}{space 4}-.0375267{col 67}{space 3} .0334095
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull = .133{p_end}

{txt}       F(  1,   186) ={res}    5.40
{txt}{col 13}Prob > F ={res}    0.0212

{p 0 7}{space 1}{text:( 1)}{space 1} treatfull = -.133{p_end}

{txt}       F(  1,   186) ={res}   74.74
{txt}{col 13}Prob > F ={res}    0.0000
{txt}note: b_patsat_z_d omitted because of collinearity
{res}
{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}     7,288
{txt}{col 49}F({res}   8{txt},{res}    186{txt}){col 67}= {res}     14.25
{txt}{col 49}Prob > F{col 67}= {res}    0.0000
{txt}{col 49}R-squared{col 67}= {res}    0.0394
{txt}{col 49}Adj R-squared{col 67}= {res}    0.0363
{txt}{col 49}Root MSE{col 67}= {res}    0.5869

{txt}{ralign 78:(Std. Err. adjusted for {res:187} clusters in hc_id)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}  e_patsat_z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2} .0766279{col 26}{space 2} .0242478{col 37}{space 1}    3.16{col 46}{space 3}0.002{col 54}{space 4} .0287919{col 67}{space 3}  .124464
{txt}{space 2}b_patsat_z {c |}{col 14}{res}{space 2} .1391849{col 26}{space 2} .0151653{col 37}{space 1}    9.18{col 46}{space 3}0.000{col 54}{space 4} .1092669{col 67}{space 3}  .169103
{txt}b_patsat_z_d {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 1}c_tfull_hc2 {c |}{col 14}{res}{space 2}-.0559382{col 26}{space 2} .0292099{col 37}{space 1}   -1.92{col 46}{space 3}0.057{col 54}{space 4}-.1135635{col 67}{space 3} .0016871
{txt}c_tfull_b_~l {c |}{col 14}{res}{space 2} .0029132{col 26}{space 2}  .038816{col 37}{space 1}    0.08{col 46}{space 3}0.940{col 54}{space 4}-.0736631{col 67}{space 3} .0794894
{txt}c_tfull_b_~s {c |}{col 14}{res}{space 2}  .014223{col 26}{space 2} .0540938{col 37}{space 1}    0.26{col 46}{space 3}0.793{col 54}{space 4}-.0924932{col 67}{space 3} .1209392
{txt}c_tfull_b_~d {c |}{col 14}{res}{space 2}-.0090924{col 26}{space 2} .0266171{col 37}{space 1}   -0.34{col 46}{space 3}0.733{col 54}{space 4}-.0616027{col 67}{space 3} .0434179
{txt}c_tfull_ed~r {c |}{col 14}{res}{space 2} .0031544{col 26}{space 2} .0018384{col 37}{space 1}    1.72{col 46}{space 3}0.088{col 54}{space 4}-.0004724{col 67}{space 3} .0067812
{txt}c_tfull_b_~x {c |}{col 14}{res}{space 2} .0006674{col 26}{space 2} .0074343{col 37}{space 1}    0.09{col 46}{space 3}0.929{col 54}{space 4} -.013999{col 67}{space 3} .0153338
{txt}{space 7}_cons {c |}{col 14}{res}{space 2}-.0020586{col 26}{space 2} .0179785{col 37}{space 1}   -0.11{col 46}{space 3}0.909{col 54}{space 4}-.0375267{col 67}{space 3} .0334095
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull = .134{p_end}

{txt}       F(  1,   186) ={res}    5.60
{txt}{col 13}Prob > F ={res}    0.0190

{p 0 7}{space 1}{text:( 1)}{space 1} treatfull = -.134{p_end}

{txt}       F(  1,   186) ={res}   75.46
{txt}{col 13}Prob > F ={res}    0.0000
{txt}note: b_patsat_z_d omitted because of collinearity
{res}
{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}     7,288
{txt}{col 49}F({res}   8{txt},{res}    186{txt}){col 67}= {res}     14.25
{txt}{col 49}Prob > F{col 67}= {res}    0.0000
{txt}{col 49}R-squared{col 67}= {res}    0.0394
{txt}{col 49}Adj R-squared{col 67}= {res}    0.0363
{txt}{col 49}Root MSE{col 67}= {res}    0.5869

{txt}{ralign 78:(Std. Err. adjusted for {res:187} clusters in hc_id)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}  e_patsat_z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2} .0766279{col 26}{space 2} .0242478{col 37}{space 1}    3.16{col 46}{space 3}0.002{col 54}{space 4} .0287919{col 67}{space 3}  .124464
{txt}{space 2}b_patsat_z {c |}{col 14}{res}{space 2} .1391849{col 26}{space 2} .0151653{col 37}{space 1}    9.18{col 46}{space 3}0.000{col 54}{space 4} .1092669{col 67}{space 3}  .169103
{txt}b_patsat_z_d {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 1}c_tfull_hc2 {c |}{col 14}{res}{space 2}-.0559382{col 26}{space 2} .0292099{col 37}{space 1}   -1.92{col 46}{space 3}0.057{col 54}{space 4}-.1135635{col 67}{space 3} .0016871
{txt}c_tfull_b_~l {c |}{col 14}{res}{space 2} .0029132{col 26}{space 2}  .038816{col 37}{space 1}    0.08{col 46}{space 3}0.940{col 54}{space 4}-.0736631{col 67}{space 3} .0794894
{txt}c_tfull_b_~s {c |}{col 14}{res}{space 2}  .014223{col 26}{space 2} .0540938{col 37}{space 1}    0.26{col 46}{space 3}0.793{col 54}{space 4}-.0924932{col 67}{space 3} .1209392
{txt}c_tfull_b_~d {c |}{col 14}{res}{space 2}-.0090924{col 26}{space 2} .0266171{col 37}{space 1}   -0.34{col 46}{space 3}0.733{col 54}{space 4}-.0616027{col 67}{space 3} .0434179
{txt}c_tfull_ed~r {c |}{col 14}{res}{space 2} .0031544{col 26}{space 2} .0018384{col 37}{space 1}    1.72{col 46}{space 3}0.088{col 54}{space 4}-.0004724{col 67}{space 3} .0067812
{txt}c_tfull_b_~x {c |}{col 14}{res}{space 2} .0006674{col 26}{space 2} .0074343{col 37}{space 1}    0.09{col 46}{space 3}0.929{col 54}{space 4} -.013999{col 67}{space 3} .0153338
{txt}{space 7}_cons {c |}{col 14}{res}{space 2}-.0020586{col 26}{space 2} .0179785{col 37}{space 1}   -0.11{col 46}{space 3}0.909{col 54}{space 4}-.0375267{col 67}{space 3} .0334095
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull = .135{p_end}

{txt}       F(  1,   186) ={res}    5.80
{txt}{col 13}Prob > F ={res}    0.0170

{p 0 7}{space 1}{text:( 1)}{space 1} treatfull = -.135{p_end}

{txt}       F(  1,   186) ={res}   76.17
{txt}{col 13}Prob > F ={res}    0.0000
{txt}note: b_patsat_z_d omitted because of collinearity
{res}
{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}     7,288
{txt}{col 49}F({res}   8{txt},{res}    186{txt}){col 67}= {res}     14.25
{txt}{col 49}Prob > F{col 67}= {res}    0.0000
{txt}{col 49}R-squared{col 67}= {res}    0.0394
{txt}{col 49}Adj R-squared{col 67}= {res}    0.0363
{txt}{col 49}Root MSE{col 67}= {res}    0.5869

{txt}{ralign 78:(Std. Err. adjusted for {res:187} clusters in hc_id)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}  e_patsat_z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2} .0766279{col 26}{space 2} .0242478{col 37}{space 1}    3.16{col 46}{space 3}0.002{col 54}{space 4} .0287919{col 67}{space 3}  .124464
{txt}{space 2}b_patsat_z {c |}{col 14}{res}{space 2} .1391849{col 26}{space 2} .0151653{col 37}{space 1}    9.18{col 46}{space 3}0.000{col 54}{space 4} .1092669{col 67}{space 3}  .169103
{txt}b_patsat_z_d {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 1}c_tfull_hc2 {c |}{col 14}{res}{space 2}-.0559382{col 26}{space 2} .0292099{col 37}{space 1}   -1.92{col 46}{space 3}0.057{col 54}{space 4}-.1135635{col 67}{space 3} .0016871
{txt}c_tfull_b_~l {c |}{col 14}{res}{space 2} .0029132{col 26}{space 2}  .038816{col 37}{space 1}    0.08{col 46}{space 3}0.940{col 54}{space 4}-.0736631{col 67}{space 3} .0794894
{txt}c_tfull_b_~s {c |}{col 14}{res}{space 2}  .014223{col 26}{space 2} .0540938{col 37}{space 1}    0.26{col 46}{space 3}0.793{col 54}{space 4}-.0924932{col 67}{space 3} .1209392
{txt}c_tfull_b_~d {c |}{col 14}{res}{space 2}-.0090924{col 26}{space 2} .0266171{col 37}{space 1}   -0.34{col 46}{space 3}0.733{col 54}{space 4}-.0616027{col 67}{space 3} .0434179
{txt}c_tfull_ed~r {c |}{col 14}{res}{space 2} .0031544{col 26}{space 2} .0018384{col 37}{space 1}    1.72{col 46}{space 3}0.088{col 54}{space 4}-.0004724{col 67}{space 3} .0067812
{txt}c_tfull_b_~x {c |}{col 14}{res}{space 2} .0006674{col 26}{space 2} .0074343{col 37}{space 1}    0.09{col 46}{space 3}0.929{col 54}{space 4} -.013999{col 67}{space 3} .0153338
{txt}{space 7}_cons {c |}{col 14}{res}{space 2}-.0020586{col 26}{space 2} .0179785{col 37}{space 1}   -0.11{col 46}{space 3}0.909{col 54}{space 4}-.0375267{col 67}{space 3} .0334095
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull = .136{p_end}

{txt}       F(  1,   186) ={res}    6.00
{txt}{col 13}Prob > F ={res}    0.0153

{p 0 7}{space 1}{text:( 1)}{space 1} treatfull = -.136{p_end}

{txt}       F(  1,   186) ={res}   76.89
{txt}{col 13}Prob > F ={res}    0.0000
{txt}note: b_patsat_z_d omitted because of collinearity
{res}
{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}     7,288
{txt}{col 49}F({res}   8{txt},{res}    186{txt}){col 67}= {res}     14.25
{txt}{col 49}Prob > F{col 67}= {res}    0.0000
{txt}{col 49}R-squared{col 67}= {res}    0.0394
{txt}{col 49}Adj R-squared{col 67}= {res}    0.0363
{txt}{col 49}Root MSE{col 67}= {res}    0.5869

{txt}{ralign 78:(Std. Err. adjusted for {res:187} clusters in hc_id)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}  e_patsat_z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2} .0766279{col 26}{space 2} .0242478{col 37}{space 1}    3.16{col 46}{space 3}0.002{col 54}{space 4} .0287919{col 67}{space 3}  .124464
{txt}{space 2}b_patsat_z {c |}{col 14}{res}{space 2} .1391849{col 26}{space 2} .0151653{col 37}{space 1}    9.18{col 46}{space 3}0.000{col 54}{space 4} .1092669{col 67}{space 3}  .169103
{txt}b_patsat_z_d {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 1}c_tfull_hc2 {c |}{col 14}{res}{space 2}-.0559382{col 26}{space 2} .0292099{col 37}{space 1}   -1.92{col 46}{space 3}0.057{col 54}{space 4}-.1135635{col 67}{space 3} .0016871
{txt}c_tfull_b_~l {c |}{col 14}{res}{space 2} .0029132{col 26}{space 2}  .038816{col 37}{space 1}    0.08{col 46}{space 3}0.940{col 54}{space 4}-.0736631{col 67}{space 3} .0794894
{txt}c_tfull_b_~s {c |}{col 14}{res}{space 2}  .014223{col 26}{space 2} .0540938{col 37}{space 1}    0.26{col 46}{space 3}0.793{col 54}{space 4}-.0924932{col 67}{space 3} .1209392
{txt}c_tfull_b_~d {c |}{col 14}{res}{space 2}-.0090924{col 26}{space 2} .0266171{col 37}{space 1}   -0.34{col 46}{space 3}0.733{col 54}{space 4}-.0616027{col 67}{space 3} .0434179
{txt}c_tfull_ed~r {c |}{col 14}{res}{space 2} .0031544{col 26}{space 2} .0018384{col 37}{space 1}    1.72{col 46}{space 3}0.088{col 54}{space 4}-.0004724{col 67}{space 3} .0067812
{txt}c_tfull_b_~x {c |}{col 14}{res}{space 2} .0006674{col 26}{space 2} .0074343{col 37}{space 1}    0.09{col 46}{space 3}0.929{col 54}{space 4} -.013999{col 67}{space 3} .0153338
{txt}{space 7}_cons {c |}{col 14}{res}{space 2}-.0020586{col 26}{space 2} .0179785{col 37}{space 1}   -0.11{col 46}{space 3}0.909{col 54}{space 4}-.0375267{col 67}{space 3} .0334095
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull = .137{p_end}

{txt}       F(  1,   186) ={res}    6.20
{txt}{col 13}Prob > F ={res}    0.0137

{p 0 7}{space 1}{text:( 1)}{space 1} treatfull = -.137{p_end}

{txt}       F(  1,   186) ={res}   77.62
{txt}{col 13}Prob > F ={res}    0.0000
{txt}note: b_patsat_z_d omitted because of collinearity
{res}
{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}     7,288
{txt}{col 49}F({res}   8{txt},{res}    186{txt}){col 67}= {res}     14.25
{txt}{col 49}Prob > F{col 67}= {res}    0.0000
{txt}{col 49}R-squared{col 67}= {res}    0.0394
{txt}{col 49}Adj R-squared{col 67}= {res}    0.0363
{txt}{col 49}Root MSE{col 67}= {res}    0.5869

{txt}{ralign 78:(Std. Err. adjusted for {res:187} clusters in hc_id)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}  e_patsat_z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2} .0766279{col 26}{space 2} .0242478{col 37}{space 1}    3.16{col 46}{space 3}0.002{col 54}{space 4} .0287919{col 67}{space 3}  .124464
{txt}{space 2}b_patsat_z {c |}{col 14}{res}{space 2} .1391849{col 26}{space 2} .0151653{col 37}{space 1}    9.18{col 46}{space 3}0.000{col 54}{space 4} .1092669{col 67}{space 3}  .169103
{txt}b_patsat_z_d {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 1}c_tfull_hc2 {c |}{col 14}{res}{space 2}-.0559382{col 26}{space 2} .0292099{col 37}{space 1}   -1.92{col 46}{space 3}0.057{col 54}{space 4}-.1135635{col 67}{space 3} .0016871
{txt}c_tfull_b_~l {c |}{col 14}{res}{space 2} .0029132{col 26}{space 2}  .038816{col 37}{space 1}    0.08{col 46}{space 3}0.940{col 54}{space 4}-.0736631{col 67}{space 3} .0794894
{txt}c_tfull_b_~s {c |}{col 14}{res}{space 2}  .014223{col 26}{space 2} .0540938{col 37}{space 1}    0.26{col 46}{space 3}0.793{col 54}{space 4}-.0924932{col 67}{space 3} .1209392
{txt}c_tfull_b_~d {c |}{col 14}{res}{space 2}-.0090924{col 26}{space 2} .0266171{col 37}{space 1}   -0.34{col 46}{space 3}0.733{col 54}{space 4}-.0616027{col 67}{space 3} .0434179
{txt}c_tfull_ed~r {c |}{col 14}{res}{space 2} .0031544{col 26}{space 2} .0018384{col 37}{space 1}    1.72{col 46}{space 3}0.088{col 54}{space 4}-.0004724{col 67}{space 3} .0067812
{txt}c_tfull_b_~x {c |}{col 14}{res}{space 2} .0006674{col 26}{space 2} .0074343{col 37}{space 1}    0.09{col 46}{space 3}0.929{col 54}{space 4} -.013999{col 67}{space 3} .0153338
{txt}{space 7}_cons {c |}{col 14}{res}{space 2}-.0020586{col 26}{space 2} .0179785{col 37}{space 1}   -0.11{col 46}{space 3}0.909{col 54}{space 4}-.0375267{col 67}{space 3} .0334095
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull = .138{p_end}

{txt}       F(  1,   186) ={res}    6.41
{txt}{col 13}Prob > F ={res}    0.0122

{p 0 7}{space 1}{text:( 1)}{space 1} treatfull = -.138{p_end}

{txt}       F(  1,   186) ={res}   78.35
{txt}{col 13}Prob > F ={res}    0.0000
{txt}note: b_patsat_z_d omitted because of collinearity
{res}
{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}     7,288
{txt}{col 49}F({res}   8{txt},{res}    186{txt}){col 67}= {res}     14.25
{txt}{col 49}Prob > F{col 67}= {res}    0.0000
{txt}{col 49}R-squared{col 67}= {res}    0.0394
{txt}{col 49}Adj R-squared{col 67}= {res}    0.0363
{txt}{col 49}Root MSE{col 67}= {res}    0.5869

{txt}{ralign 78:(Std. Err. adjusted for {res:187} clusters in hc_id)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}  e_patsat_z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2} .0766279{col 26}{space 2} .0242478{col 37}{space 1}    3.16{col 46}{space 3}0.002{col 54}{space 4} .0287919{col 67}{space 3}  .124464
{txt}{space 2}b_patsat_z {c |}{col 14}{res}{space 2} .1391849{col 26}{space 2} .0151653{col 37}{space 1}    9.18{col 46}{space 3}0.000{col 54}{space 4} .1092669{col 67}{space 3}  .169103
{txt}b_patsat_z_d {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 1}c_tfull_hc2 {c |}{col 14}{res}{space 2}-.0559382{col 26}{space 2} .0292099{col 37}{space 1}   -1.92{col 46}{space 3}0.057{col 54}{space 4}-.1135635{col 67}{space 3} .0016871
{txt}c_tfull_b_~l {c |}{col 14}{res}{space 2} .0029132{col 26}{space 2}  .038816{col 37}{space 1}    0.08{col 46}{space 3}0.940{col 54}{space 4}-.0736631{col 67}{space 3} .0794894
{txt}c_tfull_b_~s {c |}{col 14}{res}{space 2}  .014223{col 26}{space 2} .0540938{col 37}{space 1}    0.26{col 46}{space 3}0.793{col 54}{space 4}-.0924932{col 67}{space 3} .1209392
{txt}c_tfull_b_~d {c |}{col 14}{res}{space 2}-.0090924{col 26}{space 2} .0266171{col 37}{space 1}   -0.34{col 46}{space 3}0.733{col 54}{space 4}-.0616027{col 67}{space 3} .0434179
{txt}c_tfull_ed~r {c |}{col 14}{res}{space 2} .0031544{col 26}{space 2} .0018384{col 37}{space 1}    1.72{col 46}{space 3}0.088{col 54}{space 4}-.0004724{col 67}{space 3} .0067812
{txt}c_tfull_b_~x {c |}{col 14}{res}{space 2} .0006674{col 26}{space 2} .0074343{col 37}{space 1}    0.09{col 46}{space 3}0.929{col 54}{space 4} -.013999{col 67}{space 3} .0153338
{txt}{space 7}_cons {c |}{col 14}{res}{space 2}-.0020586{col 26}{space 2} .0179785{col 37}{space 1}   -0.11{col 46}{space 3}0.909{col 54}{space 4}-.0375267{col 67}{space 3} .0334095
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull = .139{p_end}

{txt}       F(  1,   186) ={res}    6.62
{txt}{col 13}Prob > F ={res}    0.0109

{p 0 7}{space 1}{text:( 1)}{space 1} treatfull = -.139{p_end}

{txt}       F(  1,   186) ={res}   79.08
{txt}{col 13}Prob > F ={res}    0.0000
{txt}note: b_patsat_z_d omitted because of collinearity
{res}
{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}     7,288
{txt}{col 49}F({res}   8{txt},{res}    186{txt}){col 67}= {res}     14.25
{txt}{col 49}Prob > F{col 67}= {res}    0.0000
{txt}{col 49}R-squared{col 67}= {res}    0.0394
{txt}{col 49}Adj R-squared{col 67}= {res}    0.0363
{txt}{col 49}Root MSE{col 67}= {res}    0.5869

{txt}{ralign 78:(Std. Err. adjusted for {res:187} clusters in hc_id)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}  e_patsat_z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2} .0766279{col 26}{space 2} .0242478{col 37}{space 1}    3.16{col 46}{space 3}0.002{col 54}{space 4} .0287919{col 67}{space 3}  .124464
{txt}{space 2}b_patsat_z {c |}{col 14}{res}{space 2} .1391849{col 26}{space 2} .0151653{col 37}{space 1}    9.18{col 46}{space 3}0.000{col 54}{space 4} .1092669{col 67}{space 3}  .169103
{txt}b_patsat_z_d {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 1}c_tfull_hc2 {c |}{col 14}{res}{space 2}-.0559382{col 26}{space 2} .0292099{col 37}{space 1}   -1.92{col 46}{space 3}0.057{col 54}{space 4}-.1135635{col 67}{space 3} .0016871
{txt}c_tfull_b_~l {c |}{col 14}{res}{space 2} .0029132{col 26}{space 2}  .038816{col 37}{space 1}    0.08{col 46}{space 3}0.940{col 54}{space 4}-.0736631{col 67}{space 3} .0794894
{txt}c_tfull_b_~s {c |}{col 14}{res}{space 2}  .014223{col 26}{space 2} .0540938{col 37}{space 1}    0.26{col 46}{space 3}0.793{col 54}{space 4}-.0924932{col 67}{space 3} .1209392
{txt}c_tfull_b_~d {c |}{col 14}{res}{space 2}-.0090924{col 26}{space 2} .0266171{col 37}{space 1}   -0.34{col 46}{space 3}0.733{col 54}{space 4}-.0616027{col 67}{space 3} .0434179
{txt}c_tfull_ed~r {c |}{col 14}{res}{space 2} .0031544{col 26}{space 2} .0018384{col 37}{space 1}    1.72{col 46}{space 3}0.088{col 54}{space 4}-.0004724{col 67}{space 3} .0067812
{txt}c_tfull_b_~x {c |}{col 14}{res}{space 2} .0006674{col 26}{space 2} .0074343{col 37}{space 1}    0.09{col 46}{space 3}0.929{col 54}{space 4} -.013999{col 67}{space 3} .0153338
{txt}{space 7}_cons {c |}{col 14}{res}{space 2}-.0020586{col 26}{space 2} .0179785{col 37}{space 1}   -0.11{col 46}{space 3}0.909{col 54}{space 4}-.0375267{col 67}{space 3} .0334095
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull = .14{p_end}

{txt}       F(  1,   186) ={res}    6.83
{txt}{col 13}Prob > F ={res}    0.0097

{p 0 7}{space 1}{text:( 1)}{space 1} treatfull = -.14{p_end}

{txt}       F(  1,   186) ={res}   79.82
{txt}{col 13}Prob > F ={res}    0.0000
{txt}note: b_patsat_z_d omitted because of collinearity
{res}
{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}     7,288
{txt}{col 49}F({res}   8{txt},{res}    186{txt}){col 67}= {res}     14.25
{txt}{col 49}Prob > F{col 67}= {res}    0.0000
{txt}{col 49}R-squared{col 67}= {res}    0.0394
{txt}{col 49}Adj R-squared{col 67}= {res}    0.0363
{txt}{col 49}Root MSE{col 67}= {res}    0.5869

{txt}{ralign 78:(Std. Err. adjusted for {res:187} clusters in hc_id)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}  e_patsat_z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2} .0766279{col 26}{space 2} .0242478{col 37}{space 1}    3.16{col 46}{space 3}0.002{col 54}{space 4} .0287919{col 67}{space 3}  .124464
{txt}{space 2}b_patsat_z {c |}{col 14}{res}{space 2} .1391849{col 26}{space 2} .0151653{col 37}{space 1}    9.18{col 46}{space 3}0.000{col 54}{space 4} .1092669{col 67}{space 3}  .169103
{txt}b_patsat_z_d {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 1}c_tfull_hc2 {c |}{col 14}{res}{space 2}-.0559382{col 26}{space 2} .0292099{col 37}{space 1}   -1.92{col 46}{space 3}0.057{col 54}{space 4}-.1135635{col 67}{space 3} .0016871
{txt}c_tfull_b_~l {c |}{col 14}{res}{space 2} .0029132{col 26}{space 2}  .038816{col 37}{space 1}    0.08{col 46}{space 3}0.940{col 54}{space 4}-.0736631{col 67}{space 3} .0794894
{txt}c_tfull_b_~s {c |}{col 14}{res}{space 2}  .014223{col 26}{space 2} .0540938{col 37}{space 1}    0.26{col 46}{space 3}0.793{col 54}{space 4}-.0924932{col 67}{space 3} .1209392
{txt}c_tfull_b_~d {c |}{col 14}{res}{space 2}-.0090924{col 26}{space 2} .0266171{col 37}{space 1}   -0.34{col 46}{space 3}0.733{col 54}{space 4}-.0616027{col 67}{space 3} .0434179
{txt}c_tfull_ed~r {c |}{col 14}{res}{space 2} .0031544{col 26}{space 2} .0018384{col 37}{space 1}    1.72{col 46}{space 3}0.088{col 54}{space 4}-.0004724{col 67}{space 3} .0067812
{txt}c_tfull_b_~x {c |}{col 14}{res}{space 2} .0006674{col 26}{space 2} .0074343{col 37}{space 1}    0.09{col 46}{space 3}0.929{col 54}{space 4} -.013999{col 67}{space 3} .0153338
{txt}{space 7}_cons {c |}{col 14}{res}{space 2}-.0020586{col 26}{space 2} .0179785{col 37}{space 1}   -0.11{col 46}{space 3}0.909{col 54}{space 4}-.0375267{col 67}{space 3} .0334095
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull = .141{p_end}

{txt}       F(  1,   186) ={res}    7.05
{txt}{col 13}Prob > F ={res}    0.0086

{p 0 7}{space 1}{text:( 1)}{space 1} treatfull = -.141{p_end}

{txt}       F(  1,   186) ={res}   80.55
{txt}{col 13}Prob > F ={res}    0.0000
{txt}note: b_patsat_z_d omitted because of collinearity
{res}
{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}     7,288
{txt}{col 49}F({res}   8{txt},{res}    186{txt}){col 67}= {res}     14.25
{txt}{col 49}Prob > F{col 67}= {res}    0.0000
{txt}{col 49}R-squared{col 67}= {res}    0.0394
{txt}{col 49}Adj R-squared{col 67}= {res}    0.0363
{txt}{col 49}Root MSE{col 67}= {res}    0.5869

{txt}{ralign 78:(Std. Err. adjusted for {res:187} clusters in hc_id)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}  e_patsat_z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2} .0766279{col 26}{space 2} .0242478{col 37}{space 1}    3.16{col 46}{space 3}0.002{col 54}{space 4} .0287919{col 67}{space 3}  .124464
{txt}{space 2}b_patsat_z {c |}{col 14}{res}{space 2} .1391849{col 26}{space 2} .0151653{col 37}{space 1}    9.18{col 46}{space 3}0.000{col 54}{space 4} .1092669{col 67}{space 3}  .169103
{txt}b_patsat_z_d {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 1}c_tfull_hc2 {c |}{col 14}{res}{space 2}-.0559382{col 26}{space 2} .0292099{col 37}{space 1}   -1.92{col 46}{space 3}0.057{col 54}{space 4}-.1135635{col 67}{space 3} .0016871
{txt}c_tfull_b_~l {c |}{col 14}{res}{space 2} .0029132{col 26}{space 2}  .038816{col 37}{space 1}    0.08{col 46}{space 3}0.940{col 54}{space 4}-.0736631{col 67}{space 3} .0794894
{txt}c_tfull_b_~s {c |}{col 14}{res}{space 2}  .014223{col 26}{space 2} .0540938{col 37}{space 1}    0.26{col 46}{space 3}0.793{col 54}{space 4}-.0924932{col 67}{space 3} .1209392
{txt}c_tfull_b_~d {c |}{col 14}{res}{space 2}-.0090924{col 26}{space 2} .0266171{col 37}{space 1}   -0.34{col 46}{space 3}0.733{col 54}{space 4}-.0616027{col 67}{space 3} .0434179
{txt}c_tfull_ed~r {c |}{col 14}{res}{space 2} .0031544{col 26}{space 2} .0018384{col 37}{space 1}    1.72{col 46}{space 3}0.088{col 54}{space 4}-.0004724{col 67}{space 3} .0067812
{txt}c_tfull_b_~x {c |}{col 14}{res}{space 2} .0006674{col 26}{space 2} .0074343{col 37}{space 1}    0.09{col 46}{space 3}0.929{col 54}{space 4} -.013999{col 67}{space 3} .0153338
{txt}{space 7}_cons {c |}{col 14}{res}{space 2}-.0020586{col 26}{space 2} .0179785{col 37}{space 1}   -0.11{col 46}{space 3}0.909{col 54}{space 4}-.0375267{col 67}{space 3} .0334095
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull = .142{p_end}

{txt}       F(  1,   186) ={res}    7.27
{txt}{col 13}Prob > F ={res}    0.0077

{p 0 7}{space 1}{text:( 1)}{space 1} treatfull = -.142{p_end}

{txt}       F(  1,   186) ={res}   81.30
{txt}{col 13}Prob > F ={res}    0.0000
{txt}note: b_patsat_z_d omitted because of collinearity
{res}
{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}     7,288
{txt}{col 49}F({res}   8{txt},{res}    186{txt}){col 67}= {res}     14.25
{txt}{col 49}Prob > F{col 67}= {res}    0.0000
{txt}{col 49}R-squared{col 67}= {res}    0.0394
{txt}{col 49}Adj R-squared{col 67}= {res}    0.0363
{txt}{col 49}Root MSE{col 67}= {res}    0.5869

{txt}{ralign 78:(Std. Err. adjusted for {res:187} clusters in hc_id)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}  e_patsat_z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2} .0766279{col 26}{space 2} .0242478{col 37}{space 1}    3.16{col 46}{space 3}0.002{col 54}{space 4} .0287919{col 67}{space 3}  .124464
{txt}{space 2}b_patsat_z {c |}{col 14}{res}{space 2} .1391849{col 26}{space 2} .0151653{col 37}{space 1}    9.18{col 46}{space 3}0.000{col 54}{space 4} .1092669{col 67}{space 3}  .169103
{txt}b_patsat_z_d {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 1}c_tfull_hc2 {c |}{col 14}{res}{space 2}-.0559382{col 26}{space 2} .0292099{col 37}{space 1}   -1.92{col 46}{space 3}0.057{col 54}{space 4}-.1135635{col 67}{space 3} .0016871
{txt}c_tfull_b_~l {c |}{col 14}{res}{space 2} .0029132{col 26}{space 2}  .038816{col 37}{space 1}    0.08{col 46}{space 3}0.940{col 54}{space 4}-.0736631{col 67}{space 3} .0794894
{txt}c_tfull_b_~s {c |}{col 14}{res}{space 2}  .014223{col 26}{space 2} .0540938{col 37}{space 1}    0.26{col 46}{space 3}0.793{col 54}{space 4}-.0924932{col 67}{space 3} .1209392
{txt}c_tfull_b_~d {c |}{col 14}{res}{space 2}-.0090924{col 26}{space 2} .0266171{col 37}{space 1}   -0.34{col 46}{space 3}0.733{col 54}{space 4}-.0616027{col 67}{space 3} .0434179
{txt}c_tfull_ed~r {c |}{col 14}{res}{space 2} .0031544{col 26}{space 2} .0018384{col 37}{space 1}    1.72{col 46}{space 3}0.088{col 54}{space 4}-.0004724{col 67}{space 3} .0067812
{txt}c_tfull_b_~x {c |}{col 14}{res}{space 2} .0006674{col 26}{space 2} .0074343{col 37}{space 1}    0.09{col 46}{space 3}0.929{col 54}{space 4} -.013999{col 67}{space 3} .0153338
{txt}{space 7}_cons {c |}{col 14}{res}{space 2}-.0020586{col 26}{space 2} .0179785{col 37}{space 1}   -0.11{col 46}{space 3}0.909{col 54}{space 4}-.0375267{col 67}{space 3} .0334095
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull = .143{p_end}

{txt}       F(  1,   186) ={res}    7.49
{txt}{col 13}Prob > F ={res}    0.0068

{p 0 7}{space 1}{text:( 1)}{space 1} treatfull = -.143{p_end}

{txt}       F(  1,   186) ={res}   82.04
{txt}{col 13}Prob > F ={res}    0.0000
{txt}note: b_patsat_z_d omitted because of collinearity
{res}
{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}     7,288
{txt}{col 49}F({res}   8{txt},{res}    186{txt}){col 67}= {res}     14.25
{txt}{col 49}Prob > F{col 67}= {res}    0.0000
{txt}{col 49}R-squared{col 67}= {res}    0.0394
{txt}{col 49}Adj R-squared{col 67}= {res}    0.0363
{txt}{col 49}Root MSE{col 67}= {res}    0.5869

{txt}{ralign 78:(Std. Err. adjusted for {res:187} clusters in hc_id)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}  e_patsat_z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2} .0766279{col 26}{space 2} .0242478{col 37}{space 1}    3.16{col 46}{space 3}0.002{col 54}{space 4} .0287919{col 67}{space 3}  .124464
{txt}{space 2}b_patsat_z {c |}{col 14}{res}{space 2} .1391849{col 26}{space 2} .0151653{col 37}{space 1}    9.18{col 46}{space 3}0.000{col 54}{space 4} .1092669{col 67}{space 3}  .169103
{txt}b_patsat_z_d {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 1}c_tfull_hc2 {c |}{col 14}{res}{space 2}-.0559382{col 26}{space 2} .0292099{col 37}{space 1}   -1.92{col 46}{space 3}0.057{col 54}{space 4}-.1135635{col 67}{space 3} .0016871
{txt}c_tfull_b_~l {c |}{col 14}{res}{space 2} .0029132{col 26}{space 2}  .038816{col 37}{space 1}    0.08{col 46}{space 3}0.940{col 54}{space 4}-.0736631{col 67}{space 3} .0794894
{txt}c_tfull_b_~s {c |}{col 14}{res}{space 2}  .014223{col 26}{space 2} .0540938{col 37}{space 1}    0.26{col 46}{space 3}0.793{col 54}{space 4}-.0924932{col 67}{space 3} .1209392
{txt}c_tfull_b_~d {c |}{col 14}{res}{space 2}-.0090924{col 26}{space 2} .0266171{col 37}{space 1}   -0.34{col 46}{space 3}0.733{col 54}{space 4}-.0616027{col 67}{space 3} .0434179
{txt}c_tfull_ed~r {c |}{col 14}{res}{space 2} .0031544{col 26}{space 2} .0018384{col 37}{space 1}    1.72{col 46}{space 3}0.088{col 54}{space 4}-.0004724{col 67}{space 3} .0067812
{txt}c_tfull_b_~x {c |}{col 14}{res}{space 2} .0006674{col 26}{space 2} .0074343{col 37}{space 1}    0.09{col 46}{space 3}0.929{col 54}{space 4} -.013999{col 67}{space 3} .0153338
{txt}{space 7}_cons {c |}{col 14}{res}{space 2}-.0020586{col 26}{space 2} .0179785{col 37}{space 1}   -0.11{col 46}{space 3}0.909{col 54}{space 4}-.0375267{col 67}{space 3} .0334095
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull = .144{p_end}

{txt}       F(  1,   186) ={res}    7.72
{txt}{col 13}Prob > F ={res}    0.0060

{p 0 7}{space 1}{text:( 1)}{space 1} treatfull = -.144{p_end}

{txt}       F(  1,   186) ={res}   82.79
{txt}{col 13}Prob > F ={res}    0.0000
{txt}note: b_patsat_z_d omitted because of collinearity
{res}
{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}     7,288
{txt}{col 49}F({res}   8{txt},{res}    186{txt}){col 67}= {res}     14.25
{txt}{col 49}Prob > F{col 67}= {res}    0.0000
{txt}{col 49}R-squared{col 67}= {res}    0.0394
{txt}{col 49}Adj R-squared{col 67}= {res}    0.0363
{txt}{col 49}Root MSE{col 67}= {res}    0.5869

{txt}{ralign 78:(Std. Err. adjusted for {res:187} clusters in hc_id)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}  e_patsat_z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2} .0766279{col 26}{space 2} .0242478{col 37}{space 1}    3.16{col 46}{space 3}0.002{col 54}{space 4} .0287919{col 67}{space 3}  .124464
{txt}{space 2}b_patsat_z {c |}{col 14}{res}{space 2} .1391849{col 26}{space 2} .0151653{col 37}{space 1}    9.18{col 46}{space 3}0.000{col 54}{space 4} .1092669{col 67}{space 3}  .169103
{txt}b_patsat_z_d {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 1}c_tfull_hc2 {c |}{col 14}{res}{space 2}-.0559382{col 26}{space 2} .0292099{col 37}{space 1}   -1.92{col 46}{space 3}0.057{col 54}{space 4}-.1135635{col 67}{space 3} .0016871
{txt}c_tfull_b_~l {c |}{col 14}{res}{space 2} .0029132{col 26}{space 2}  .038816{col 37}{space 1}    0.08{col 46}{space 3}0.940{col 54}{space 4}-.0736631{col 67}{space 3} .0794894
{txt}c_tfull_b_~s {c |}{col 14}{res}{space 2}  .014223{col 26}{space 2} .0540938{col 37}{space 1}    0.26{col 46}{space 3}0.793{col 54}{space 4}-.0924932{col 67}{space 3} .1209392
{txt}c_tfull_b_~d {c |}{col 14}{res}{space 2}-.0090924{col 26}{space 2} .0266171{col 37}{space 1}   -0.34{col 46}{space 3}0.733{col 54}{space 4}-.0616027{col 67}{space 3} .0434179
{txt}c_tfull_ed~r {c |}{col 14}{res}{space 2} .0031544{col 26}{space 2} .0018384{col 37}{space 1}    1.72{col 46}{space 3}0.088{col 54}{space 4}-.0004724{col 67}{space 3} .0067812
{txt}c_tfull_b_~x {c |}{col 14}{res}{space 2} .0006674{col 26}{space 2} .0074343{col 37}{space 1}    0.09{col 46}{space 3}0.929{col 54}{space 4} -.013999{col 67}{space 3} .0153338
{txt}{space 7}_cons {c |}{col 14}{res}{space 2}-.0020586{col 26}{space 2} .0179785{col 37}{space 1}   -0.11{col 46}{space 3}0.909{col 54}{space 4}-.0375267{col 67}{space 3} .0334095
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull = .145{p_end}

{txt}       F(  1,   186) ={res}    7.95
{txt}{col 13}Prob > F ={res}    0.0053

{p 0 7}{space 1}{text:( 1)}{space 1} treatfull = -.145{p_end}

{txt}       F(  1,   186) ={res}   83.54
{txt}{col 13}Prob > F ={res}    0.0000
{txt}note: b_patsat_z_d omitted because of collinearity
{res}
{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}     7,288
{txt}{col 49}F({res}   8{txt},{res}    186{txt}){col 67}= {res}     14.25
{txt}{col 49}Prob > F{col 67}= {res}    0.0000
{txt}{col 49}R-squared{col 67}= {res}    0.0394
{txt}{col 49}Adj R-squared{col 67}= {res}    0.0363
{txt}{col 49}Root MSE{col 67}= {res}    0.5869

{txt}{ralign 78:(Std. Err. adjusted for {res:187} clusters in hc_id)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}  e_patsat_z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2} .0766279{col 26}{space 2} .0242478{col 37}{space 1}    3.16{col 46}{space 3}0.002{col 54}{space 4} .0287919{col 67}{space 3}  .124464
{txt}{space 2}b_patsat_z {c |}{col 14}{res}{space 2} .1391849{col 26}{space 2} .0151653{col 37}{space 1}    9.18{col 46}{space 3}0.000{col 54}{space 4} .1092669{col 67}{space 3}  .169103
{txt}b_patsat_z_d {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 1}c_tfull_hc2 {c |}{col 14}{res}{space 2}-.0559382{col 26}{space 2} .0292099{col 37}{space 1}   -1.92{col 46}{space 3}0.057{col 54}{space 4}-.1135635{col 67}{space 3} .0016871
{txt}c_tfull_b_~l {c |}{col 14}{res}{space 2} .0029132{col 26}{space 2}  .038816{col 37}{space 1}    0.08{col 46}{space 3}0.940{col 54}{space 4}-.0736631{col 67}{space 3} .0794894
{txt}c_tfull_b_~s {c |}{col 14}{res}{space 2}  .014223{col 26}{space 2} .0540938{col 37}{space 1}    0.26{col 46}{space 3}0.793{col 54}{space 4}-.0924932{col 67}{space 3} .1209392
{txt}c_tfull_b_~d {c |}{col 14}{res}{space 2}-.0090924{col 26}{space 2} .0266171{col 37}{space 1}   -0.34{col 46}{space 3}0.733{col 54}{space 4}-.0616027{col 67}{space 3} .0434179
{txt}c_tfull_ed~r {c |}{col 14}{res}{space 2} .0031544{col 26}{space 2} .0018384{col 37}{space 1}    1.72{col 46}{space 3}0.088{col 54}{space 4}-.0004724{col 67}{space 3} .0067812
{txt}c_tfull_b_~x {c |}{col 14}{res}{space 2} .0006674{col 26}{space 2} .0074343{col 37}{space 1}    0.09{col 46}{space 3}0.929{col 54}{space 4} -.013999{col 67}{space 3} .0153338
{txt}{space 7}_cons {c |}{col 14}{res}{space 2}-.0020586{col 26}{space 2} .0179785{col 37}{space 1}   -0.11{col 46}{space 3}0.909{col 54}{space 4}-.0375267{col 67}{space 3} .0334095
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull = .146{p_end}

{txt}       F(  1,   186) ={res}    8.19
{txt}{col 13}Prob > F ={res}    0.0047

{p 0 7}{space 1}{text:( 1)}{space 1} treatfull = -.146{p_end}

{txt}       F(  1,   186) ={res}   84.30
{txt}{col 13}Prob > F ={res}    0.0000
{txt}note: b_patsat_z_d omitted because of collinearity
{res}
{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}     7,288
{txt}{col 49}F({res}   8{txt},{res}    186{txt}){col 67}= {res}     14.25
{txt}{col 49}Prob > F{col 67}= {res}    0.0000
{txt}{col 49}R-squared{col 67}= {res}    0.0394
{txt}{col 49}Adj R-squared{col 67}= {res}    0.0363
{txt}{col 49}Root MSE{col 67}= {res}    0.5869

{txt}{ralign 78:(Std. Err. adjusted for {res:187} clusters in hc_id)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}  e_patsat_z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2} .0766279{col 26}{space 2} .0242478{col 37}{space 1}    3.16{col 46}{space 3}0.002{col 54}{space 4} .0287919{col 67}{space 3}  .124464
{txt}{space 2}b_patsat_z {c |}{col 14}{res}{space 2} .1391849{col 26}{space 2} .0151653{col 37}{space 1}    9.18{col 46}{space 3}0.000{col 54}{space 4} .1092669{col 67}{space 3}  .169103
{txt}b_patsat_z_d {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 1}c_tfull_hc2 {c |}{col 14}{res}{space 2}-.0559382{col 26}{space 2} .0292099{col 37}{space 1}   -1.92{col 46}{space 3}0.057{col 54}{space 4}-.1135635{col 67}{space 3} .0016871
{txt}c_tfull_b_~l {c |}{col 14}{res}{space 2} .0029132{col 26}{space 2}  .038816{col 37}{space 1}    0.08{col 46}{space 3}0.940{col 54}{space 4}-.0736631{col 67}{space 3} .0794894
{txt}c_tfull_b_~s {c |}{col 14}{res}{space 2}  .014223{col 26}{space 2} .0540938{col 37}{space 1}    0.26{col 46}{space 3}0.793{col 54}{space 4}-.0924932{col 67}{space 3} .1209392
{txt}c_tfull_b_~d {c |}{col 14}{res}{space 2}-.0090924{col 26}{space 2} .0266171{col 37}{space 1}   -0.34{col 46}{space 3}0.733{col 54}{space 4}-.0616027{col 67}{space 3} .0434179
{txt}c_tfull_ed~r {c |}{col 14}{res}{space 2} .0031544{col 26}{space 2} .0018384{col 37}{space 1}    1.72{col 46}{space 3}0.088{col 54}{space 4}-.0004724{col 67}{space 3} .0067812
{txt}c_tfull_b_~x {c |}{col 14}{res}{space 2} .0006674{col 26}{space 2} .0074343{col 37}{space 1}    0.09{col 46}{space 3}0.929{col 54}{space 4} -.013999{col 67}{space 3} .0153338
{txt}{space 7}_cons {c |}{col 14}{res}{space 2}-.0020586{col 26}{space 2} .0179785{col 37}{space 1}   -0.11{col 46}{space 3}0.909{col 54}{space 4}-.0375267{col 67}{space 3} .0334095
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull = .147{p_end}

{txt}       F(  1,   186) ={res}    8.42
{txt}{col 13}Prob > F ={res}    0.0042

{p 0 7}{space 1}{text:( 1)}{space 1} treatfull = -.147{p_end}

{txt}       F(  1,   186) ={res}   85.06
{txt}{col 13}Prob > F ={res}    0.0000
{txt}note: b_patsat_z_d omitted because of collinearity
{res}
{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}     7,288
{txt}{col 49}F({res}   8{txt},{res}    186{txt}){col 67}= {res}     14.25
{txt}{col 49}Prob > F{col 67}= {res}    0.0000
{txt}{col 49}R-squared{col 67}= {res}    0.0394
{txt}{col 49}Adj R-squared{col 67}= {res}    0.0363
{txt}{col 49}Root MSE{col 67}= {res}    0.5869

{txt}{ralign 78:(Std. Err. adjusted for {res:187} clusters in hc_id)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}  e_patsat_z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2} .0766279{col 26}{space 2} .0242478{col 37}{space 1}    3.16{col 46}{space 3}0.002{col 54}{space 4} .0287919{col 67}{space 3}  .124464
{txt}{space 2}b_patsat_z {c |}{col 14}{res}{space 2} .1391849{col 26}{space 2} .0151653{col 37}{space 1}    9.18{col 46}{space 3}0.000{col 54}{space 4} .1092669{col 67}{space 3}  .169103
{txt}b_patsat_z_d {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 1}c_tfull_hc2 {c |}{col 14}{res}{space 2}-.0559382{col 26}{space 2} .0292099{col 37}{space 1}   -1.92{col 46}{space 3}0.057{col 54}{space 4}-.1135635{col 67}{space 3} .0016871
{txt}c_tfull_b_~l {c |}{col 14}{res}{space 2} .0029132{col 26}{space 2}  .038816{col 37}{space 1}    0.08{col 46}{space 3}0.940{col 54}{space 4}-.0736631{col 67}{space 3} .0794894
{txt}c_tfull_b_~s {c |}{col 14}{res}{space 2}  .014223{col 26}{space 2} .0540938{col 37}{space 1}    0.26{col 46}{space 3}0.793{col 54}{space 4}-.0924932{col 67}{space 3} .1209392
{txt}c_tfull_b_~d {c |}{col 14}{res}{space 2}-.0090924{col 26}{space 2} .0266171{col 37}{space 1}   -0.34{col 46}{space 3}0.733{col 54}{space 4}-.0616027{col 67}{space 3} .0434179
{txt}c_tfull_ed~r {c |}{col 14}{res}{space 2} .0031544{col 26}{space 2} .0018384{col 37}{space 1}    1.72{col 46}{space 3}0.088{col 54}{space 4}-.0004724{col 67}{space 3} .0067812
{txt}c_tfull_b_~x {c |}{col 14}{res}{space 2} .0006674{col 26}{space 2} .0074343{col 37}{space 1}    0.09{col 46}{space 3}0.929{col 54}{space 4} -.013999{col 67}{space 3} .0153338
{txt}{space 7}_cons {c |}{col 14}{res}{space 2}-.0020586{col 26}{space 2} .0179785{col 37}{space 1}   -0.11{col 46}{space 3}0.909{col 54}{space 4}-.0375267{col 67}{space 3} .0334095
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull = .148{p_end}

{txt}       F(  1,   186) ={res}    8.66
{txt}{col 13}Prob > F ={res}    0.0037

{p 0 7}{space 1}{text:( 1)}{space 1} treatfull = -.148{p_end}

{txt}       F(  1,   186) ={res}   85.82
{txt}{col 13}Prob > F ={res}    0.0000
{txt}note: b_patsat_z_d omitted because of collinearity
{res}
{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}     7,288
{txt}{col 49}F({res}   8{txt},{res}    186{txt}){col 67}= {res}     14.25
{txt}{col 49}Prob > F{col 67}= {res}    0.0000
{txt}{col 49}R-squared{col 67}= {res}    0.0394
{txt}{col 49}Adj R-squared{col 67}= {res}    0.0363
{txt}{col 49}Root MSE{col 67}= {res}    0.5869

{txt}{ralign 78:(Std. Err. adjusted for {res:187} clusters in hc_id)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}  e_patsat_z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2} .0766279{col 26}{space 2} .0242478{col 37}{space 1}    3.16{col 46}{space 3}0.002{col 54}{space 4} .0287919{col 67}{space 3}  .124464
{txt}{space 2}b_patsat_z {c |}{col 14}{res}{space 2} .1391849{col 26}{space 2} .0151653{col 37}{space 1}    9.18{col 46}{space 3}0.000{col 54}{space 4} .1092669{col 67}{space 3}  .169103
{txt}b_patsat_z_d {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 1}c_tfull_hc2 {c |}{col 14}{res}{space 2}-.0559382{col 26}{space 2} .0292099{col 37}{space 1}   -1.92{col 46}{space 3}0.057{col 54}{space 4}-.1135635{col 67}{space 3} .0016871
{txt}c_tfull_b_~l {c |}{col 14}{res}{space 2} .0029132{col 26}{space 2}  .038816{col 37}{space 1}    0.08{col 46}{space 3}0.940{col 54}{space 4}-.0736631{col 67}{space 3} .0794894
{txt}c_tfull_b_~s {c |}{col 14}{res}{space 2}  .014223{col 26}{space 2} .0540938{col 37}{space 1}    0.26{col 46}{space 3}0.793{col 54}{space 4}-.0924932{col 67}{space 3} .1209392
{txt}c_tfull_b_~d {c |}{col 14}{res}{space 2}-.0090924{col 26}{space 2} .0266171{col 37}{space 1}   -0.34{col 46}{space 3}0.733{col 54}{space 4}-.0616027{col 67}{space 3} .0434179
{txt}c_tfull_ed~r {c |}{col 14}{res}{space 2} .0031544{col 26}{space 2} .0018384{col 37}{space 1}    1.72{col 46}{space 3}0.088{col 54}{space 4}-.0004724{col 67}{space 3} .0067812
{txt}c_tfull_b_~x {c |}{col 14}{res}{space 2} .0006674{col 26}{space 2} .0074343{col 37}{space 1}    0.09{col 46}{space 3}0.929{col 54}{space 4} -.013999{col 67}{space 3} .0153338
{txt}{space 7}_cons {c |}{col 14}{res}{space 2}-.0020586{col 26}{space 2} .0179785{col 37}{space 1}   -0.11{col 46}{space 3}0.909{col 54}{space 4}-.0375267{col 67}{space 3} .0334095
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull = .149{p_end}

{txt}       F(  1,   186) ={res}    8.91
{txt}{col 13}Prob > F ={res}    0.0032

{p 0 7}{space 1}{text:( 1)}{space 1} treatfull = -.149{p_end}

{txt}       F(  1,   186) ={res}   86.58
{txt}{col 13}Prob > F ={res}    0.0000
{txt}note: b_commtg_z_d omitted because of collinearity
{res}
{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}     7,288
{txt}{col 49}F({res}   8{txt},{res}    186{txt}){col 67}= {res}     11.69
{txt}{col 49}Prob > F{col 67}= {res}    0.0000
{txt}{col 49}R-squared{col 67}= {res}    0.0961
{txt}{col 49}Adj R-squared{col 67}= {res}    0.0933
{txt}{col 49}Root MSE{col 67}= {res}    0.5588

{txt}{ralign 78:(Std. Err. adjusted for {res:187} clusters in hc_id)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}  e_commtg_z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2} .0055923{col 26}{space 2} .0280309{col 37}{space 1}    0.20{col 46}{space 3}0.842{col 54}{space 4}-.0497072{col 67}{space 3} .0608917
{txt}{space 2}b_commtg_z {c |}{col 14}{res}{space 2} .0757774{col 26}{space 2} .0135575{col 37}{space 1}    5.59{col 46}{space 3}0.000{col 54}{space 4} .0490312{col 67}{space 3} .1025235
{txt}b_commtg_z_d {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 1}c_tfull_hc2 {c |}{col 14}{res}{space 2} .1239928{col 26}{space 2} .0320277{col 37}{space 1}    3.87{col 46}{space 3}0.000{col 54}{space 4} .0608085{col 67}{space 3} .1871772
{txt}c_tfull_b_~l {c |}{col 14}{res}{space 2} .0852744{col 26}{space 2} .0385592{col 37}{space 1}    2.21{col 46}{space 3}0.028{col 54}{space 4} .0092047{col 67}{space 3} .1613441
{txt}c_tfull_b_~s {c |}{col 14}{res}{space 2} .0054989{col 26}{space 2}    .0554{col 37}{space 1}    0.10{col 46}{space 3}0.921{col 54}{space 4}-.1037943{col 67}{space 3} .1147921
{txt}c_tfull_b_~d {c |}{col 14}{res}{space 2}   .09122{col 26}{space 2}  .032878{col 37}{space 1}    2.77{col 46}{space 3}0.006{col 54}{space 4} .0263583{col 67}{space 3} .1560817
{txt}c_tfull_ed~r {c |}{col 14}{res}{space 2} .0045883{col 26}{space 2} .0016172{col 37}{space 1}    2.84{col 46}{space 3}0.005{col 54}{space 4}  .001398{col 67}{space 3} .0077787
{txt}c_tfull_b_~x {c |}{col 14}{res}{space 2} .0275659{col 26}{space 2} .0086925{col 37}{space 1}    3.17{col 46}{space 3}0.002{col 54}{space 4} .0104174{col 67}{space 3} .0447144
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} .0035564{col 26}{space 2} .0191754{col 37}{space 1}    0.19{col 46}{space 3}0.853{col 54}{space 4}-.0342728{col 67}{space 3} .0413856
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull = .001{p_end}

{txt}       F(  1,   186) ={res}    0.03
{txt}{col 13}Prob > F ={res}    0.8700

{p 0 7}{space 1}{text:( 1)}{space 1} treatfull = -.001{p_end}

{txt}       F(  1,   186) ={res}    0.06
{txt}{col 13}Prob > F ={res}    0.8143
{txt}note: b_commtg_z_d omitted because of collinearity
{res}
{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}     7,288
{txt}{col 49}F({res}   8{txt},{res}    186{txt}){col 67}= {res}     11.69
{txt}{col 49}Prob > F{col 67}= {res}    0.0000
{txt}{col 49}R-squared{col 67}= {res}    0.0961
{txt}{col 49}Adj R-squared{col 67}= {res}    0.0933
{txt}{col 49}Root MSE{col 67}= {res}    0.5588

{txt}{ralign 78:(Std. Err. adjusted for {res:187} clusters in hc_id)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}  e_commtg_z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2} .0055923{col 26}{space 2} .0280309{col 37}{space 1}    0.20{col 46}{space 3}0.842{col 54}{space 4}-.0497072{col 67}{space 3} .0608917
{txt}{space 2}b_commtg_z {c |}{col 14}{res}{space 2} .0757774{col 26}{space 2} .0135575{col 37}{space 1}    5.59{col 46}{space 3}0.000{col 54}{space 4} .0490312{col 67}{space 3} .1025235
{txt}b_commtg_z_d {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 1}c_tfull_hc2 {c |}{col 14}{res}{space 2} .1239928{col 26}{space 2} .0320277{col 37}{space 1}    3.87{col 46}{space 3}0.000{col 54}{space 4} .0608085{col 67}{space 3} .1871772
{txt}c_tfull_b_~l {c |}{col 14}{res}{space 2} .0852744{col 26}{space 2} .0385592{col 37}{space 1}    2.21{col 46}{space 3}0.028{col 54}{space 4} .0092047{col 67}{space 3} .1613441
{txt}c_tfull_b_~s {c |}{col 14}{res}{space 2} .0054989{col 26}{space 2}    .0554{col 37}{space 1}    0.10{col 46}{space 3}0.921{col 54}{space 4}-.1037943{col 67}{space 3} .1147921
{txt}c_tfull_b_~d {c |}{col 14}{res}{space 2}   .09122{col 26}{space 2}  .032878{col 37}{space 1}    2.77{col 46}{space 3}0.006{col 54}{space 4} .0263583{col 67}{space 3} .1560817
{txt}c_tfull_ed~r {c |}{col 14}{res}{space 2} .0045883{col 26}{space 2} .0016172{col 37}{space 1}    2.84{col 46}{space 3}0.005{col 54}{space 4}  .001398{col 67}{space 3} .0077787
{txt}c_tfull_b_~x {c |}{col 14}{res}{space 2} .0275659{col 26}{space 2} .0086925{col 37}{space 1}    3.17{col 46}{space 3}0.002{col 54}{space 4} .0104174{col 67}{space 3} .0447144
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} .0035564{col 26}{space 2} .0191754{col 37}{space 1}    0.19{col 46}{space 3}0.853{col 54}{space 4}-.0342728{col 67}{space 3} .0413856
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull = .002{p_end}

{txt}       F(  1,   186) ={res}    0.02
{txt}{col 13}Prob > F ={res}    0.8982

{p 0 7}{space 1}{text:( 1)}{space 1} treatfull = -.002{p_end}

{txt}       F(  1,   186) ={res}    0.07
{txt}{col 13}Prob > F ={res}    0.7868
{txt}note: b_commtg_z_d omitted because of collinearity
{res}
{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}     7,288
{txt}{col 49}F({res}   8{txt},{res}    186{txt}){col 67}= {res}     11.69
{txt}{col 49}Prob > F{col 67}= {res}    0.0000
{txt}{col 49}R-squared{col 67}= {res}    0.0961
{txt}{col 49}Adj R-squared{col 67}= {res}    0.0933
{txt}{col 49}Root MSE{col 67}= {res}    0.5588

{txt}{ralign 78:(Std. Err. adjusted for {res:187} clusters in hc_id)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}  e_commtg_z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2} .0055923{col 26}{space 2} .0280309{col 37}{space 1}    0.20{col 46}{space 3}0.842{col 54}{space 4}-.0497072{col 67}{space 3} .0608917
{txt}{space 2}b_commtg_z {c |}{col 14}{res}{space 2} .0757774{col 26}{space 2} .0135575{col 37}{space 1}    5.59{col 46}{space 3}0.000{col 54}{space 4} .0490312{col 67}{space 3} .1025235
{txt}b_commtg_z_d {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 1}c_tfull_hc2 {c |}{col 14}{res}{space 2} .1239928{col 26}{space 2} .0320277{col 37}{space 1}    3.87{col 46}{space 3}0.000{col 54}{space 4} .0608085{col 67}{space 3} .1871772
{txt}c_tfull_b_~l {c |}{col 14}{res}{space 2} .0852744{col 26}{space 2} .0385592{col 37}{space 1}    2.21{col 46}{space 3}0.028{col 54}{space 4} .0092047{col 67}{space 3} .1613441
{txt}c_tfull_b_~s {c |}{col 14}{res}{space 2} .0054989{col 26}{space 2}    .0554{col 37}{space 1}    0.10{col 46}{space 3}0.921{col 54}{space 4}-.1037943{col 67}{space 3} .1147921
{txt}c_tfull_b_~d {c |}{col 14}{res}{space 2}   .09122{col 26}{space 2}  .032878{col 37}{space 1}    2.77{col 46}{space 3}0.006{col 54}{space 4} .0263583{col 67}{space 3} .1560817
{txt}c_tfull_ed~r {c |}{col 14}{res}{space 2} .0045883{col 26}{space 2} .0016172{col 37}{space 1}    2.84{col 46}{space 3}0.005{col 54}{space 4}  .001398{col 67}{space 3} .0077787
{txt}c_tfull_b_~x {c |}{col 14}{res}{space 2} .0275659{col 26}{space 2} .0086925{col 37}{space 1}    3.17{col 46}{space 3}0.002{col 54}{space 4} .0104174{col 67}{space 3} .0447144
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} .0035564{col 26}{space 2} .0191754{col 37}{space 1}    0.19{col 46}{space 3}0.853{col 54}{space 4}-.0342728{col 67}{space 3} .0413856
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull = .003{p_end}

{txt}       F(  1,   186) ={res}    0.01
{txt}{col 13}Prob > F ={res}    0.9264

{p 0 7}{space 1}{text:( 1)}{space 1} treatfull = -.003{p_end}

{txt}       F(  1,   186) ={res}    0.09
{txt}{col 13}Prob > F ={res}    0.7595
{txt}note: b_commtg_z_d omitted because of collinearity
{res}
{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}     7,288
{txt}{col 49}F({res}   8{txt},{res}    186{txt}){col 67}= {res}     11.69
{txt}{col 49}Prob > F{col 67}= {res}    0.0000
{txt}{col 49}R-squared{col 67}= {res}    0.0961
{txt}{col 49}Adj R-squared{col 67}= {res}    0.0933
{txt}{col 49}Root MSE{col 67}= {res}    0.5588

{txt}{ralign 78:(Std. Err. adjusted for {res:187} clusters in hc_id)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}  e_commtg_z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2} .0055923{col 26}{space 2} .0280309{col 37}{space 1}    0.20{col 46}{space 3}0.842{col 54}{space 4}-.0497072{col 67}{space 3} .0608917
{txt}{space 2}b_commtg_z {c |}{col 14}{res}{space 2} .0757774{col 26}{space 2} .0135575{col 37}{space 1}    5.59{col 46}{space 3}0.000{col 54}{space 4} .0490312{col 67}{space 3} .1025235
{txt}b_commtg_z_d {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 1}c_tfull_hc2 {c |}{col 14}{res}{space 2} .1239928{col 26}{space 2} .0320277{col 37}{space 1}    3.87{col 46}{space 3}0.000{col 54}{space 4} .0608085{col 67}{space 3} .1871772
{txt}c_tfull_b_~l {c |}{col 14}{res}{space 2} .0852744{col 26}{space 2} .0385592{col 37}{space 1}    2.21{col 46}{space 3}0.028{col 54}{space 4} .0092047{col 67}{space 3} .1613441
{txt}c_tfull_b_~s {c |}{col 14}{res}{space 2} .0054989{col 26}{space 2}    .0554{col 37}{space 1}    0.10{col 46}{space 3}0.921{col 54}{space 4}-.1037943{col 67}{space 3} .1147921
{txt}c_tfull_b_~d {c |}{col 14}{res}{space 2}   .09122{col 26}{space 2}  .032878{col 37}{space 1}    2.77{col 46}{space 3}0.006{col 54}{space 4} .0263583{col 67}{space 3} .1560817
{txt}c_tfull_ed~r {c |}{col 14}{res}{space 2} .0045883{col 26}{space 2} .0016172{col 37}{space 1}    2.84{col 46}{space 3}0.005{col 54}{space 4}  .001398{col 67}{space 3} .0077787
{txt}c_tfull_b_~x {c |}{col 14}{res}{space 2} .0275659{col 26}{space 2} .0086925{col 37}{space 1}    3.17{col 46}{space 3}0.002{col 54}{space 4} .0104174{col 67}{space 3} .0447144
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} .0035564{col 26}{space 2} .0191754{col 37}{space 1}    0.19{col 46}{space 3}0.853{col 54}{space 4}-.0342728{col 67}{space 3} .0413856
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull = .004{p_end}

{txt}       F(  1,   186) ={res}    0.00
{txt}{col 13}Prob > F ={res}    0.9548

{p 0 7}{space 1}{text:( 1)}{space 1} treatfull = -.004{p_end}

{txt}       F(  1,   186) ={res}    0.12
{txt}{col 13}Prob > F ={res}    0.7326
{txt}note: b_commtg_z_d omitted because of collinearity
{res}
{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}     7,288
{txt}{col 49}F({res}   8{txt},{res}    186{txt}){col 67}= {res}     11.69
{txt}{col 49}Prob > F{col 67}= {res}    0.0000
{txt}{col 49}R-squared{col 67}= {res}    0.0961
{txt}{col 49}Adj R-squared{col 67}= {res}    0.0933
{txt}{col 49}Root MSE{col 67}= {res}    0.5588

{txt}{ralign 78:(Std. Err. adjusted for {res:187} clusters in hc_id)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}  e_commtg_z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2} .0055923{col 26}{space 2} .0280309{col 37}{space 1}    0.20{col 46}{space 3}0.842{col 54}{space 4}-.0497072{col 67}{space 3} .0608917
{txt}{space 2}b_commtg_z {c |}{col 14}{res}{space 2} .0757774{col 26}{space 2} .0135575{col 37}{space 1}    5.59{col 46}{space 3}0.000{col 54}{space 4} .0490312{col 67}{space 3} .1025235
{txt}b_commtg_z_d {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 1}c_tfull_hc2 {c |}{col 14}{res}{space 2} .1239928{col 26}{space 2} .0320277{col 37}{space 1}    3.87{col 46}{space 3}0.000{col 54}{space 4} .0608085{col 67}{space 3} .1871772
{txt}c_tfull_b_~l {c |}{col 14}{res}{space 2} .0852744{col 26}{space 2} .0385592{col 37}{space 1}    2.21{col 46}{space 3}0.028{col 54}{space 4} .0092047{col 67}{space 3} .1613441
{txt}c_tfull_b_~s {c |}{col 14}{res}{space 2} .0054989{col 26}{space 2}    .0554{col 37}{space 1}    0.10{col 46}{space 3}0.921{col 54}{space 4}-.1037943{col 67}{space 3} .1147921
{txt}c_tfull_b_~d {c |}{col 14}{res}{space 2}   .09122{col 26}{space 2}  .032878{col 37}{space 1}    2.77{col 46}{space 3}0.006{col 54}{space 4} .0263583{col 67}{space 3} .1560817
{txt}c_tfull_ed~r {c |}{col 14}{res}{space 2} .0045883{col 26}{space 2} .0016172{col 37}{space 1}    2.84{col 46}{space 3}0.005{col 54}{space 4}  .001398{col 67}{space 3} .0077787
{txt}c_tfull_b_~x {c |}{col 14}{res}{space 2} .0275659{col 26}{space 2} .0086925{col 37}{space 1}    3.17{col 46}{space 3}0.002{col 54}{space 4} .0104174{col 67}{space 3} .0447144
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} .0035564{col 26}{space 2} .0191754{col 37}{space 1}    0.19{col 46}{space 3}0.853{col 54}{space 4}-.0342728{col 67}{space 3} .0413856
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull = .005{p_end}

{txt}       F(  1,   186) ={res}    0.00
{txt}{col 13}Prob > F ={res}    0.9832

{p 0 7}{space 1}{text:( 1)}{space 1} treatfull = -.005{p_end}

{txt}       F(  1,   186) ={res}    0.14
{txt}{col 13}Prob > F ={res}    0.7060
{txt}note: b_commtg_z_d omitted because of collinearity
{res}
{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}     7,288
{txt}{col 49}F({res}   8{txt},{res}    186{txt}){col 67}= {res}     11.69
{txt}{col 49}Prob > F{col 67}= {res}    0.0000
{txt}{col 49}R-squared{col 67}= {res}    0.0961
{txt}{col 49}Adj R-squared{col 67}= {res}    0.0933
{txt}{col 49}Root MSE{col 67}= {res}    0.5588

{txt}{ralign 78:(Std. Err. adjusted for {res:187} clusters in hc_id)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}  e_commtg_z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2} .0055923{col 26}{space 2} .0280309{col 37}{space 1}    0.20{col 46}{space 3}0.842{col 54}{space 4}-.0497072{col 67}{space 3} .0608917
{txt}{space 2}b_commtg_z {c |}{col 14}{res}{space 2} .0757774{col 26}{space 2} .0135575{col 37}{space 1}    5.59{col 46}{space 3}0.000{col 54}{space 4} .0490312{col 67}{space 3} .1025235
{txt}b_commtg_z_d {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 1}c_tfull_hc2 {c |}{col 14}{res}{space 2} .1239928{col 26}{space 2} .0320277{col 37}{space 1}    3.87{col 46}{space 3}0.000{col 54}{space 4} .0608085{col 67}{space 3} .1871772
{txt}c_tfull_b_~l {c |}{col 14}{res}{space 2} .0852744{col 26}{space 2} .0385592{col 37}{space 1}    2.21{col 46}{space 3}0.028{col 54}{space 4} .0092047{col 67}{space 3} .1613441
{txt}c_tfull_b_~s {c |}{col 14}{res}{space 2} .0054989{col 26}{space 2}    .0554{col 37}{space 1}    0.10{col 46}{space 3}0.921{col 54}{space 4}-.1037943{col 67}{space 3} .1147921
{txt}c_tfull_b_~d {c |}{col 14}{res}{space 2}   .09122{col 26}{space 2}  .032878{col 37}{space 1}    2.77{col 46}{space 3}0.006{col 54}{space 4} .0263583{col 67}{space 3} .1560817
{txt}c_tfull_ed~r {c |}{col 14}{res}{space 2} .0045883{col 26}{space 2} .0016172{col 37}{space 1}    2.84{col 46}{space 3}0.005{col 54}{space 4}  .001398{col 67}{space 3} .0077787
{txt}c_tfull_b_~x {c |}{col 14}{res}{space 2} .0275659{col 26}{space 2} .0086925{col 37}{space 1}    3.17{col 46}{space 3}0.002{col 54}{space 4} .0104174{col 67}{space 3} .0447144
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} .0035564{col 26}{space 2} .0191754{col 37}{space 1}    0.19{col 46}{space 3}0.853{col 54}{space 4}-.0342728{col 67}{space 3} .0413856
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull = .006{p_end}

{txt}       F(  1,   186) ={res}    0.00
{txt}{col 13}Prob > F ={res}    0.9884

{p 0 7}{space 1}{text:( 1)}{space 1} treatfull = -.006{p_end}

{txt}       F(  1,   186) ={res}    0.17
{txt}{col 13}Prob > F ={res}    0.6797
{txt}note: b_commtg_z_d omitted because of collinearity
{res}
{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}     7,288
{txt}{col 49}F({res}   8{txt},{res}    186{txt}){col 67}= {res}     11.69
{txt}{col 49}Prob > F{col 67}= {res}    0.0000
{txt}{col 49}R-squared{col 67}= {res}    0.0961
{txt}{col 49}Adj R-squared{col 67}= {res}    0.0933
{txt}{col 49}Root MSE{col 67}= {res}    0.5588

{txt}{ralign 78:(Std. Err. adjusted for {res:187} clusters in hc_id)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}  e_commtg_z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2} .0055923{col 26}{space 2} .0280309{col 37}{space 1}    0.20{col 46}{space 3}0.842{col 54}{space 4}-.0497072{col 67}{space 3} .0608917
{txt}{space 2}b_commtg_z {c |}{col 14}{res}{space 2} .0757774{col 26}{space 2} .0135575{col 37}{space 1}    5.59{col 46}{space 3}0.000{col 54}{space 4} .0490312{col 67}{space 3} .1025235
{txt}b_commtg_z_d {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 1}c_tfull_hc2 {c |}{col 14}{res}{space 2} .1239928{col 26}{space 2} .0320277{col 37}{space 1}    3.87{col 46}{space 3}0.000{col 54}{space 4} .0608085{col 67}{space 3} .1871772
{txt}c_tfull_b_~l {c |}{col 14}{res}{space 2} .0852744{col 26}{space 2} .0385592{col 37}{space 1}    2.21{col 46}{space 3}0.028{col 54}{space 4} .0092047{col 67}{space 3} .1613441
{txt}c_tfull_b_~s {c |}{col 14}{res}{space 2} .0054989{col 26}{space 2}    .0554{col 37}{space 1}    0.10{col 46}{space 3}0.921{col 54}{space 4}-.1037943{col 67}{space 3} .1147921
{txt}c_tfull_b_~d {c |}{col 14}{res}{space 2}   .09122{col 26}{space 2}  .032878{col 37}{space 1}    2.77{col 46}{space 3}0.006{col 54}{space 4} .0263583{col 67}{space 3} .1560817
{txt}c_tfull_ed~r {c |}{col 14}{res}{space 2} .0045883{col 26}{space 2} .0016172{col 37}{space 1}    2.84{col 46}{space 3}0.005{col 54}{space 4}  .001398{col 67}{space 3} .0077787
{txt}c_tfull_b_~x {c |}{col 14}{res}{space 2} .0275659{col 26}{space 2} .0086925{col 37}{space 1}    3.17{col 46}{space 3}0.002{col 54}{space 4} .0104174{col 67}{space 3} .0447144
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} .0035564{col 26}{space 2} .0191754{col 37}{space 1}    0.19{col 46}{space 3}0.853{col 54}{space 4}-.0342728{col 67}{space 3} .0413856
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull = .007{p_end}

{txt}       F(  1,   186) ={res}    0.00
{txt}{col 13}Prob > F ={res}    0.9600

{p 0 7}{space 1}{text:( 1)}{space 1} treatfull = -.007{p_end}

{txt}       F(  1,   186) ={res}    0.20
{txt}{col 13}Prob > F ={res}    0.6538
{txt}note: b_commtg_z_d omitted because of collinearity
{res}
{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}     7,288
{txt}{col 49}F({res}   8{txt},{res}    186{txt}){col 67}= {res}     11.69
{txt}{col 49}Prob > F{col 67}= {res}    0.0000
{txt}{col 49}R-squared{col 67}= {res}    0.0961
{txt}{col 49}Adj R-squared{col 67}= {res}    0.0933
{txt}{col 49}Root MSE{col 67}= {res}    0.5588

{txt}{ralign 78:(Std. Err. adjusted for {res:187} clusters in hc_id)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}  e_commtg_z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2} .0055923{col 26}{space 2} .0280309{col 37}{space 1}    0.20{col 46}{space 3}0.842{col 54}{space 4}-.0497072{col 67}{space 3} .0608917
{txt}{space 2}b_commtg_z {c |}{col 14}{res}{space 2} .0757774{col 26}{space 2} .0135575{col 37}{space 1}    5.59{col 46}{space 3}0.000{col 54}{space 4} .0490312{col 67}{space 3} .1025235
{txt}b_commtg_z_d {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 1}c_tfull_hc2 {c |}{col 14}{res}{space 2} .1239928{col 26}{space 2} .0320277{col 37}{space 1}    3.87{col 46}{space 3}0.000{col 54}{space 4} .0608085{col 67}{space 3} .1871772
{txt}c_tfull_b_~l {c |}{col 14}{res}{space 2} .0852744{col 26}{space 2} .0385592{col 37}{space 1}    2.21{col 46}{space 3}0.028{col 54}{space 4} .0092047{col 67}{space 3} .1613441
{txt}c_tfull_b_~s {c |}{col 14}{res}{space 2} .0054989{col 26}{space 2}    .0554{col 37}{space 1}    0.10{col 46}{space 3}0.921{col 54}{space 4}-.1037943{col 67}{space 3} .1147921
{txt}c_tfull_b_~d {c |}{col 14}{res}{space 2}   .09122{col 26}{space 2}  .032878{col 37}{space 1}    2.77{col 46}{space 3}0.006{col 54}{space 4} .0263583{col 67}{space 3} .1560817
{txt}c_tfull_ed~r {c |}{col 14}{res}{space 2} .0045883{col 26}{space 2} .0016172{col 37}{space 1}    2.84{col 46}{space 3}0.005{col 54}{space 4}  .001398{col 67}{space 3} .0077787
{txt}c_tfull_b_~x {c |}{col 14}{res}{space 2} .0275659{col 26}{space 2} .0086925{col 37}{space 1}    3.17{col 46}{space 3}0.002{col 54}{space 4} .0104174{col 67}{space 3} .0447144
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} .0035564{col 26}{space 2} .0191754{col 37}{space 1}    0.19{col 46}{space 3}0.853{col 54}{space 4}-.0342728{col 67}{space 3} .0413856
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull = .008{p_end}

{txt}       F(  1,   186) ={res}    0.01
{txt}{col 13}Prob > F ={res}    0.9316

{p 0 7}{space 1}{text:( 1)}{space 1} treatfull = -.008{p_end}

{txt}       F(  1,   186) ={res}    0.24
{txt}{col 13}Prob > F ={res}    0.6283
{txt}note: b_commtg_z_d omitted because of collinearity
{res}
{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}     7,288
{txt}{col 49}F({res}   8{txt},{res}    186{txt}){col 67}= {res}     11.69
{txt}{col 49}Prob > F{col 67}= {res}    0.0000
{txt}{col 49}R-squared{col 67}= {res}    0.0961
{txt}{col 49}Adj R-squared{col 67}= {res}    0.0933
{txt}{col 49}Root MSE{col 67}= {res}    0.5588

{txt}{ralign 78:(Std. Err. adjusted for {res:187} clusters in hc_id)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}  e_commtg_z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2} .0055923{col 26}{space 2} .0280309{col 37}{space 1}    0.20{col 46}{space 3}0.842{col 54}{space 4}-.0497072{col 67}{space 3} .0608917
{txt}{space 2}b_commtg_z {c |}{col 14}{res}{space 2} .0757774{col 26}{space 2} .0135575{col 37}{space 1}    5.59{col 46}{space 3}0.000{col 54}{space 4} .0490312{col 67}{space 3} .1025235
{txt}b_commtg_z_d {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 1}c_tfull_hc2 {c |}{col 14}{res}{space 2} .1239928{col 26}{space 2} .0320277{col 37}{space 1}    3.87{col 46}{space 3}0.000{col 54}{space 4} .0608085{col 67}{space 3} .1871772
{txt}c_tfull_b_~l {c |}{col 14}{res}{space 2} .0852744{col 26}{space 2} .0385592{col 37}{space 1}    2.21{col 46}{space 3}0.028{col 54}{space 4} .0092047{col 67}{space 3} .1613441
{txt}c_tfull_b_~s {c |}{col 14}{res}{space 2} .0054989{col 26}{space 2}    .0554{col 37}{space 1}    0.10{col 46}{space 3}0.921{col 54}{space 4}-.1037943{col 67}{space 3} .1147921
{txt}c_tfull_b_~d {c |}{col 14}{res}{space 2}   .09122{col 26}{space 2}  .032878{col 37}{space 1}    2.77{col 46}{space 3}0.006{col 54}{space 4} .0263583{col 67}{space 3} .1560817
{txt}c_tfull_ed~r {c |}{col 14}{res}{space 2} .0045883{col 26}{space 2} .0016172{col 37}{space 1}    2.84{col 46}{space 3}0.005{col 54}{space 4}  .001398{col 67}{space 3} .0077787
{txt}c_tfull_b_~x {c |}{col 14}{res}{space 2} .0275659{col 26}{space 2} .0086925{col 37}{space 1}    3.17{col 46}{space 3}0.002{col 54}{space 4} .0104174{col 67}{space 3} .0447144
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} .0035564{col 26}{space 2} .0191754{col 37}{space 1}    0.19{col 46}{space 3}0.853{col 54}{space 4}-.0342728{col 67}{space 3} .0413856
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull = .009{p_end}

{txt}       F(  1,   186) ={res}    0.01
{txt}{col 13}Prob > F ={res}    0.9034

{p 0 7}{space 1}{text:( 1)}{space 1} treatfull = -.009{p_end}

{txt}       F(  1,   186) ={res}    0.27
{txt}{col 13}Prob > F ={res}    0.6033
{txt}note: b_commtg_z_d omitted because of collinearity
{res}
{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}     7,288
{txt}{col 49}F({res}   8{txt},{res}    186{txt}){col 67}= {res}     11.69
{txt}{col 49}Prob > F{col 67}= {res}    0.0000
{txt}{col 49}R-squared{col 67}= {res}    0.0961
{txt}{col 49}Adj R-squared{col 67}= {res}    0.0933
{txt}{col 49}Root MSE{col 67}= {res}    0.5588

{txt}{ralign 78:(Std. Err. adjusted for {res:187} clusters in hc_id)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}  e_commtg_z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2} .0055923{col 26}{space 2} .0280309{col 37}{space 1}    0.20{col 46}{space 3}0.842{col 54}{space 4}-.0497072{col 67}{space 3} .0608917
{txt}{space 2}b_commtg_z {c |}{col 14}{res}{space 2} .0757774{col 26}{space 2} .0135575{col 37}{space 1}    5.59{col 46}{space 3}0.000{col 54}{space 4} .0490312{col 67}{space 3} .1025235
{txt}b_commtg_z_d {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 1}c_tfull_hc2 {c |}{col 14}{res}{space 2} .1239928{col 26}{space 2} .0320277{col 37}{space 1}    3.87{col 46}{space 3}0.000{col 54}{space 4} .0608085{col 67}{space 3} .1871772
{txt}c_tfull_b_~l {c |}{col 14}{res}{space 2} .0852744{col 26}{space 2} .0385592{col 37}{space 1}    2.21{col 46}{space 3}0.028{col 54}{space 4} .0092047{col 67}{space 3} .1613441
{txt}c_tfull_b_~s {c |}{col 14}{res}{space 2} .0054989{col 26}{space 2}    .0554{col 37}{space 1}    0.10{col 46}{space 3}0.921{col 54}{space 4}-.1037943{col 67}{space 3} .1147921
{txt}c_tfull_b_~d {c |}{col 14}{res}{space 2}   .09122{col 26}{space 2}  .032878{col 37}{space 1}    2.77{col 46}{space 3}0.006{col 54}{space 4} .0263583{col 67}{space 3} .1560817
{txt}c_tfull_ed~r {c |}{col 14}{res}{space 2} .0045883{col 26}{space 2} .0016172{col 37}{space 1}    2.84{col 46}{space 3}0.005{col 54}{space 4}  .001398{col 67}{space 3} .0077787
{txt}c_tfull_b_~x {c |}{col 14}{res}{space 2} .0275659{col 26}{space 2} .0086925{col 37}{space 1}    3.17{col 46}{space 3}0.002{col 54}{space 4} .0104174{col 67}{space 3} .0447144
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} .0035564{col 26}{space 2} .0191754{col 37}{space 1}    0.19{col 46}{space 3}0.853{col 54}{space 4}-.0342728{col 67}{space 3} .0413856
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull = .01{p_end}

{txt}       F(  1,   186) ={res}    0.02
{txt}{col 13}Prob > F ={res}    0.8752

{p 0 7}{space 1}{text:( 1)}{space 1} treatfull = -.01{p_end}

{txt}       F(  1,   186) ={res}    0.31
{txt}{col 13}Prob > F ={res}    0.5787
{txt}note: b_commtg_z_d omitted because of collinearity
{res}
{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}     7,288
{txt}{col 49}F({res}   8{txt},{res}    186{txt}){col 67}= {res}     11.69
{txt}{col 49}Prob > F{col 67}= {res}    0.0000
{txt}{col 49}R-squared{col 67}= {res}    0.0961
{txt}{col 49}Adj R-squared{col 67}= {res}    0.0933
{txt}{col 49}Root MSE{col 67}= {res}    0.5588

{txt}{ralign 78:(Std. Err. adjusted for {res:187} clusters in hc_id)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}  e_commtg_z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2} .0055923{col 26}{space 2} .0280309{col 37}{space 1}    0.20{col 46}{space 3}0.842{col 54}{space 4}-.0497072{col 67}{space 3} .0608917
{txt}{space 2}b_commtg_z {c |}{col 14}{res}{space 2} .0757774{col 26}{space 2} .0135575{col 37}{space 1}    5.59{col 46}{space 3}0.000{col 54}{space 4} .0490312{col 67}{space 3} .1025235
{txt}b_commtg_z_d {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 1}c_tfull_hc2 {c |}{col 14}{res}{space 2} .1239928{col 26}{space 2} .0320277{col 37}{space 1}    3.87{col 46}{space 3}0.000{col 54}{space 4} .0608085{col 67}{space 3} .1871772
{txt}c_tfull_b_~l {c |}{col 14}{res}{space 2} .0852744{col 26}{space 2} .0385592{col 37}{space 1}    2.21{col 46}{space 3}0.028{col 54}{space 4} .0092047{col 67}{space 3} .1613441
{txt}c_tfull_b_~s {c |}{col 14}{res}{space 2} .0054989{col 26}{space 2}    .0554{col 37}{space 1}    0.10{col 46}{space 3}0.921{col 54}{space 4}-.1037943{col 67}{space 3} .1147921
{txt}c_tfull_b_~d {c |}{col 14}{res}{space 2}   .09122{col 26}{space 2}  .032878{col 37}{space 1}    2.77{col 46}{space 3}0.006{col 54}{space 4} .0263583{col 67}{space 3} .1560817
{txt}c_tfull_ed~r {c |}{col 14}{res}{space 2} .0045883{col 26}{space 2} .0016172{col 37}{space 1}    2.84{col 46}{space 3}0.005{col 54}{space 4}  .001398{col 67}{space 3} .0077787
{txt}c_tfull_b_~x {c |}{col 14}{res}{space 2} .0275659{col 26}{space 2} .0086925{col 37}{space 1}    3.17{col 46}{space 3}0.002{col 54}{space 4} .0104174{col 67}{space 3} .0447144
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} .0035564{col 26}{space 2} .0191754{col 37}{space 1}    0.19{col 46}{space 3}0.853{col 54}{space 4}-.0342728{col 67}{space 3} .0413856
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull = .011{p_end}

{txt}       F(  1,   186) ={res}    0.04
{txt}{col 13}Prob > F ={res}    0.8472

{p 0 7}{space 1}{text:( 1)}{space 1} treatfull = -.011{p_end}

{txt}       F(  1,   186) ={res}    0.35
{txt}{col 13}Prob > F ={res}    0.5546
{txt}note: b_commtg_z_d omitted because of collinearity
{res}
{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}     7,288
{txt}{col 49}F({res}   8{txt},{res}    186{txt}){col 67}= {res}     11.69
{txt}{col 49}Prob > F{col 67}= {res}    0.0000
{txt}{col 49}R-squared{col 67}= {res}    0.0961
{txt}{col 49}Adj R-squared{col 67}= {res}    0.0933
{txt}{col 49}Root MSE{col 67}= {res}    0.5588

{txt}{ralign 78:(Std. Err. adjusted for {res:187} clusters in hc_id)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}  e_commtg_z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2} .0055923{col 26}{space 2} .0280309{col 37}{space 1}    0.20{col 46}{space 3}0.842{col 54}{space 4}-.0497072{col 67}{space 3} .0608917
{txt}{space 2}b_commtg_z {c |}{col 14}{res}{space 2} .0757774{col 26}{space 2} .0135575{col 37}{space 1}    5.59{col 46}{space 3}0.000{col 54}{space 4} .0490312{col 67}{space 3} .1025235
{txt}b_commtg_z_d {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 1}c_tfull_hc2 {c |}{col 14}{res}{space 2} .1239928{col 26}{space 2} .0320277{col 37}{space 1}    3.87{col 46}{space 3}0.000{col 54}{space 4} .0608085{col 67}{space 3} .1871772
{txt}c_tfull_b_~l {c |}{col 14}{res}{space 2} .0852744{col 26}{space 2} .0385592{col 37}{space 1}    2.21{col 46}{space 3}0.028{col 54}{space 4} .0092047{col 67}{space 3} .1613441
{txt}c_tfull_b_~s {c |}{col 14}{res}{space 2} .0054989{col 26}{space 2}    .0554{col 37}{space 1}    0.10{col 46}{space 3}0.921{col 54}{space 4}-.1037943{col 67}{space 3} .1147921
{txt}c_tfull_b_~d {c |}{col 14}{res}{space 2}   .09122{col 26}{space 2}  .032878{col 37}{space 1}    2.77{col 46}{space 3}0.006{col 54}{space 4} .0263583{col 67}{space 3} .1560817
{txt}c_tfull_ed~r {c |}{col 14}{res}{space 2} .0045883{col 26}{space 2} .0016172{col 37}{space 1}    2.84{col 46}{space 3}0.005{col 54}{space 4}  .001398{col 67}{space 3} .0077787
{txt}c_tfull_b_~x {c |}{col 14}{res}{space 2} .0275659{col 26}{space 2} .0086925{col 37}{space 1}    3.17{col 46}{space 3}0.002{col 54}{space 4} .0104174{col 67}{space 3} .0447144
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} .0035564{col 26}{space 2} .0191754{col 37}{space 1}    0.19{col 46}{space 3}0.853{col 54}{space 4}-.0342728{col 67}{space 3} .0413856
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull = .012{p_end}

{txt}       F(  1,   186) ={res}    0.05
{txt}{col 13}Prob > F ={res}    0.8194

{p 0 7}{space 1}{text:( 1)}{space 1} treatfull = -.012{p_end}

{txt}       F(  1,   186) ={res}    0.39
{txt}{col 13}Prob > F ={res}    0.5310
{txt}note: b_commtg_z_d omitted because of collinearity
{res}
{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}     7,288
{txt}{col 49}F({res}   8{txt},{res}    186{txt}){col 67}= {res}     11.69
{txt}{col 49}Prob > F{col 67}= {res}    0.0000
{txt}{col 49}R-squared{col 67}= {res}    0.0961
{txt}{col 49}Adj R-squared{col 67}= {res}    0.0933
{txt}{col 49}Root MSE{col 67}= {res}    0.5588

{txt}{ralign 78:(Std. Err. adjusted for {res:187} clusters in hc_id)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}  e_commtg_z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2} .0055923{col 26}{space 2} .0280309{col 37}{space 1}    0.20{col 46}{space 3}0.842{col 54}{space 4}-.0497072{col 67}{space 3} .0608917
{txt}{space 2}b_commtg_z {c |}{col 14}{res}{space 2} .0757774{col 26}{space 2} .0135575{col 37}{space 1}    5.59{col 46}{space 3}0.000{col 54}{space 4} .0490312{col 67}{space 3} .1025235
{txt}b_commtg_z_d {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 1}c_tfull_hc2 {c |}{col 14}{res}{space 2} .1239928{col 26}{space 2} .0320277{col 37}{space 1}    3.87{col 46}{space 3}0.000{col 54}{space 4} .0608085{col 67}{space 3} .1871772
{txt}c_tfull_b_~l {c |}{col 14}{res}{space 2} .0852744{col 26}{space 2} .0385592{col 37}{space 1}    2.21{col 46}{space 3}0.028{col 54}{space 4} .0092047{col 67}{space 3} .1613441
{txt}c_tfull_b_~s {c |}{col 14}{res}{space 2} .0054989{col 26}{space 2}    .0554{col 37}{space 1}    0.10{col 46}{space 3}0.921{col 54}{space 4}-.1037943{col 67}{space 3} .1147921
{txt}c_tfull_b_~d {c |}{col 14}{res}{space 2}   .09122{col 26}{space 2}  .032878{col 37}{space 1}    2.77{col 46}{space 3}0.006{col 54}{space 4} .0263583{col 67}{space 3} .1560817
{txt}c_tfull_ed~r {c |}{col 14}{res}{space 2} .0045883{col 26}{space 2} .0016172{col 37}{space 1}    2.84{col 46}{space 3}0.005{col 54}{space 4}  .001398{col 67}{space 3} .0077787
{txt}c_tfull_b_~x {c |}{col 14}{res}{space 2} .0275659{col 26}{space 2} .0086925{col 37}{space 1}    3.17{col 46}{space 3}0.002{col 54}{space 4} .0104174{col 67}{space 3} .0447144
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} .0035564{col 26}{space 2} .0191754{col 37}{space 1}    0.19{col 46}{space 3}0.853{col 54}{space 4}-.0342728{col 67}{space 3} .0413856
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull = .013{p_end}

{txt}       F(  1,   186) ={res}    0.07
{txt}{col 13}Prob > F ={res}    0.7919

{p 0 7}{space 1}{text:( 1)}{space 1} treatfull = -.013{p_end}

{txt}       F(  1,   186) ={res}    0.44
{txt}{col 13}Prob > F ={res}    0.5080
{txt}note: b_commtg_z_d omitted because of collinearity
{res}
{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}     7,288
{txt}{col 49}F({res}   8{txt},{res}    186{txt}){col 67}= {res}     11.69
{txt}{col 49}Prob > F{col 67}= {res}    0.0000
{txt}{col 49}R-squared{col 67}= {res}    0.0961
{txt}{col 49}Adj R-squared{col 67}= {res}    0.0933
{txt}{col 49}Root MSE{col 67}= {res}    0.5588

{txt}{ralign 78:(Std. Err. adjusted for {res:187} clusters in hc_id)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}  e_commtg_z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2} .0055923{col 26}{space 2} .0280309{col 37}{space 1}    0.20{col 46}{space 3}0.842{col 54}{space 4}-.0497072{col 67}{space 3} .0608917
{txt}{space 2}b_commtg_z {c |}{col 14}{res}{space 2} .0757774{col 26}{space 2} .0135575{col 37}{space 1}    5.59{col 46}{space 3}0.000{col 54}{space 4} .0490312{col 67}{space 3} .1025235
{txt}b_commtg_z_d {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 1}c_tfull_hc2 {c |}{col 14}{res}{space 2} .1239928{col 26}{space 2} .0320277{col 37}{space 1}    3.87{col 46}{space 3}0.000{col 54}{space 4} .0608085{col 67}{space 3} .1871772
{txt}c_tfull_b_~l {c |}{col 14}{res}{space 2} .0852744{col 26}{space 2} .0385592{col 37}{space 1}    2.21{col 46}{space 3}0.028{col 54}{space 4} .0092047{col 67}{space 3} .1613441
{txt}c_tfull_b_~s {c |}{col 14}{res}{space 2} .0054989{col 26}{space 2}    .0554{col 37}{space 1}    0.10{col 46}{space 3}0.921{col 54}{space 4}-.1037943{col 67}{space 3} .1147921
{txt}c_tfull_b_~d {c |}{col 14}{res}{space 2}   .09122{col 26}{space 2}  .032878{col 37}{space 1}    2.77{col 46}{space 3}0.006{col 54}{space 4} .0263583{col 67}{space 3} .1560817
{txt}c_tfull_ed~r {c |}{col 14}{res}{space 2} .0045883{col 26}{space 2} .0016172{col 37}{space 1}    2.84{col 46}{space 3}0.005{col 54}{space 4}  .001398{col 67}{space 3} .0077787
{txt}c_tfull_b_~x {c |}{col 14}{res}{space 2} .0275659{col 26}{space 2} .0086925{col 37}{space 1}    3.17{col 46}{space 3}0.002{col 54}{space 4} .0104174{col 67}{space 3} .0447144
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} .0035564{col 26}{space 2} .0191754{col 37}{space 1}    0.19{col 46}{space 3}0.853{col 54}{space 4}-.0342728{col 67}{space 3} .0413856
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull = .014{p_end}

{txt}       F(  1,   186) ={res}    0.09
{txt}{col 13}Prob > F ={res}    0.7646

{p 0 7}{space 1}{text:( 1)}{space 1} treatfull = -.014{p_end}

{txt}       F(  1,   186) ={res}    0.49
{txt}{col 13}Prob > F ={res}    0.4855
{txt}note: b_commtg_z_d omitted because of collinearity
{res}
{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}     7,288
{txt}{col 49}F({res}   8{txt},{res}    186{txt}){col 67}= {res}     11.69
{txt}{col 49}Prob > F{col 67}= {res}    0.0000
{txt}{col 49}R-squared{col 67}= {res}    0.0961
{txt}{col 49}Adj R-squared{col 67}= {res}    0.0933
{txt}{col 49}Root MSE{col 67}= {res}    0.5588

{txt}{ralign 78:(Std. Err. adjusted for {res:187} clusters in hc_id)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}  e_commtg_z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2} .0055923{col 26}{space 2} .0280309{col 37}{space 1}    0.20{col 46}{space 3}0.842{col 54}{space 4}-.0497072{col 67}{space 3} .0608917
{txt}{space 2}b_commtg_z {c |}{col 14}{res}{space 2} .0757774{col 26}{space 2} .0135575{col 37}{space 1}    5.59{col 46}{space 3}0.000{col 54}{space 4} .0490312{col 67}{space 3} .1025235
{txt}b_commtg_z_d {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 1}c_tfull_hc2 {c |}{col 14}{res}{space 2} .1239928{col 26}{space 2} .0320277{col 37}{space 1}    3.87{col 46}{space 3}0.000{col 54}{space 4} .0608085{col 67}{space 3} .1871772
{txt}c_tfull_b_~l {c |}{col 14}{res}{space 2} .0852744{col 26}{space 2} .0385592{col 37}{space 1}    2.21{col 46}{space 3}0.028{col 54}{space 4} .0092047{col 67}{space 3} .1613441
{txt}c_tfull_b_~s {c |}{col 14}{res}{space 2} .0054989{col 26}{space 2}    .0554{col 37}{space 1}    0.10{col 46}{space 3}0.921{col 54}{space 4}-.1037943{col 67}{space 3} .1147921
{txt}c_tfull_b_~d {c |}{col 14}{res}{space 2}   .09122{col 26}{space 2}  .032878{col 37}{space 1}    2.77{col 46}{space 3}0.006{col 54}{space 4} .0263583{col 67}{space 3} .1560817
{txt}c_tfull_ed~r {c |}{col 14}{res}{space 2} .0045883{col 26}{space 2} .0016172{col 37}{space 1}    2.84{col 46}{space 3}0.005{col 54}{space 4}  .001398{col 67}{space 3} .0077787
{txt}c_tfull_b_~x {c |}{col 14}{res}{space 2} .0275659{col 26}{space 2} .0086925{col 37}{space 1}    3.17{col 46}{space 3}0.002{col 54}{space 4} .0104174{col 67}{space 3} .0447144
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} .0035564{col 26}{space 2} .0191754{col 37}{space 1}    0.19{col 46}{space 3}0.853{col 54}{space 4}-.0342728{col 67}{space 3} .0413856
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull = .015{p_end}

{txt}       F(  1,   186) ={res}    0.11
{txt}{col 13}Prob > F ={res}    0.7375

{p 0 7}{space 1}{text:( 1)}{space 1} treatfull = -.015{p_end}

{txt}       F(  1,   186) ={res}    0.54
{txt}{col 13}Prob > F ={res}    0.4635
{txt}note: b_commtg_z_d omitted because of collinearity
{res}
{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}     7,288
{txt}{col 49}F({res}   8{txt},{res}    186{txt}){col 67}= {res}     11.69
{txt}{col 49}Prob > F{col 67}= {res}    0.0000
{txt}{col 49}R-squared{col 67}= {res}    0.0961
{txt}{col 49}Adj R-squared{col 67}= {res}    0.0933
{txt}{col 49}Root MSE{col 67}= {res}    0.5588

{txt}{ralign 78:(Std. Err. adjusted for {res:187} clusters in hc_id)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}  e_commtg_z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2} .0055923{col 26}{space 2} .0280309{col 37}{space 1}    0.20{col 46}{space 3}0.842{col 54}{space 4}-.0497072{col 67}{space 3} .0608917
{txt}{space 2}b_commtg_z {c |}{col 14}{res}{space 2} .0757774{col 26}{space 2} .0135575{col 37}{space 1}    5.59{col 46}{space 3}0.000{col 54}{space 4} .0490312{col 67}{space 3} .1025235
{txt}b_commtg_z_d {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 1}c_tfull_hc2 {c |}{col 14}{res}{space 2} .1239928{col 26}{space 2} .0320277{col 37}{space 1}    3.87{col 46}{space 3}0.000{col 54}{space 4} .0608085{col 67}{space 3} .1871772
{txt}c_tfull_b_~l {c |}{col 14}{res}{space 2} .0852744{col 26}{space 2} .0385592{col 37}{space 1}    2.21{col 46}{space 3}0.028{col 54}{space 4} .0092047{col 67}{space 3} .1613441
{txt}c_tfull_b_~s {c |}{col 14}{res}{space 2} .0054989{col 26}{space 2}    .0554{col 37}{space 1}    0.10{col 46}{space 3}0.921{col 54}{space 4}-.1037943{col 67}{space 3} .1147921
{txt}c_tfull_b_~d {c |}{col 14}{res}{space 2}   .09122{col 26}{space 2}  .032878{col 37}{space 1}    2.77{col 46}{space 3}0.006{col 54}{space 4} .0263583{col 67}{space 3} .1560817
{txt}c_tfull_ed~r {c |}{col 14}{res}{space 2} .0045883{col 26}{space 2} .0016172{col 37}{space 1}    2.84{col 46}{space 3}0.005{col 54}{space 4}  .001398{col 67}{space 3} .0077787
{txt}c_tfull_b_~x {c |}{col 14}{res}{space 2} .0275659{col 26}{space 2} .0086925{col 37}{space 1}    3.17{col 46}{space 3}0.002{col 54}{space 4} .0104174{col 67}{space 3} .0447144
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} .0035564{col 26}{space 2} .0191754{col 37}{space 1}    0.19{col 46}{space 3}0.853{col 54}{space 4}-.0342728{col 67}{space 3} .0413856
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull = .016{p_end}

{txt}       F(  1,   186) ={res}    0.14
{txt}{col 13}Prob > F ={res}    0.7108

{p 0 7}{space 1}{text:( 1)}{space 1} treatfull = -.016{p_end}

{txt}       F(  1,   186) ={res}    0.59
{txt}{col 13}Prob > F ={res}    0.4421
{txt}note: b_commtg_z_d omitted because of collinearity
{res}
{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}     7,288
{txt}{col 49}F({res}   8{txt},{res}    186{txt}){col 67}= {res}     11.69
{txt}{col 49}Prob > F{col 67}= {res}    0.0000
{txt}{col 49}R-squared{col 67}= {res}    0.0961
{txt}{col 49}Adj R-squared{col 67}= {res}    0.0933
{txt}{col 49}Root MSE{col 67}= {res}    0.5588

{txt}{ralign 78:(Std. Err. adjusted for {res:187} clusters in hc_id)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}  e_commtg_z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2} .0055923{col 26}{space 2} .0280309{col 37}{space 1}    0.20{col 46}{space 3}0.842{col 54}{space 4}-.0497072{col 67}{space 3} .0608917
{txt}{space 2}b_commtg_z {c |}{col 14}{res}{space 2} .0757774{col 26}{space 2} .0135575{col 37}{space 1}    5.59{col 46}{space 3}0.000{col 54}{space 4} .0490312{col 67}{space 3} .1025235
{txt}b_commtg_z_d {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 1}c_tfull_hc2 {c |}{col 14}{res}{space 2} .1239928{col 26}{space 2} .0320277{col 37}{space 1}    3.87{col 46}{space 3}0.000{col 54}{space 4} .0608085{col 67}{space 3} .1871772
{txt}c_tfull_b_~l {c |}{col 14}{res}{space 2} .0852744{col 26}{space 2} .0385592{col 37}{space 1}    2.21{col 46}{space 3}0.028{col 54}{space 4} .0092047{col 67}{space 3} .1613441
{txt}c_tfull_b_~s {c |}{col 14}{res}{space 2} .0054989{col 26}{space 2}    .0554{col 37}{space 1}    0.10{col 46}{space 3}0.921{col 54}{space 4}-.1037943{col 67}{space 3} .1147921
{txt}c_tfull_b_~d {c |}{col 14}{res}{space 2}   .09122{col 26}{space 2}  .032878{col 37}{space 1}    2.77{col 46}{space 3}0.006{col 54}{space 4} .0263583{col 67}{space 3} .1560817
{txt}c_tfull_ed~r {c |}{col 14}{res}{space 2} .0045883{col 26}{space 2} .0016172{col 37}{space 1}    2.84{col 46}{space 3}0.005{col 54}{space 4}  .001398{col 67}{space 3} .0077787
{txt}c_tfull_b_~x {c |}{col 14}{res}{space 2} .0275659{col 26}{space 2} .0086925{col 37}{space 1}    3.17{col 46}{space 3}0.002{col 54}{space 4} .0104174{col 67}{space 3} .0447144
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} .0035564{col 26}{space 2} .0191754{col 37}{space 1}    0.19{col 46}{space 3}0.853{col 54}{space 4}-.0342728{col 67}{space 3} .0413856
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull = .017{p_end}

{txt}       F(  1,   186) ={res}    0.17
{txt}{col 13}Prob > F ={res}    0.6845

{p 0 7}{space 1}{text:( 1)}{space 1} treatfull = -.017{p_end}

{txt}       F(  1,   186) ={res}    0.65
{txt}{col 13}Prob > F ={res}    0.4213
{txt}note: b_commtg_z_d omitted because of collinearity
{res}
{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}     7,288
{txt}{col 49}F({res}   8{txt},{res}    186{txt}){col 67}= {res}     11.69
{txt}{col 49}Prob > F{col 67}= {res}    0.0000
{txt}{col 49}R-squared{col 67}= {res}    0.0961
{txt}{col 49}Adj R-squared{col 67}= {res}    0.0933
{txt}{col 49}Root MSE{col 67}= {res}    0.5588

{txt}{ralign 78:(Std. Err. adjusted for {res:187} clusters in hc_id)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}  e_commtg_z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2} .0055923{col 26}{space 2} .0280309{col 37}{space 1}    0.20{col 46}{space 3}0.842{col 54}{space 4}-.0497072{col 67}{space 3} .0608917
{txt}{space 2}b_commtg_z {c |}{col 14}{res}{space 2} .0757774{col 26}{space 2} .0135575{col 37}{space 1}    5.59{col 46}{space 3}0.000{col 54}{space 4} .0490312{col 67}{space 3} .1025235
{txt}b_commtg_z_d {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 1}c_tfull_hc2 {c |}{col 14}{res}{space 2} .1239928{col 26}{space 2} .0320277{col 37}{space 1}    3.87{col 46}{space 3}0.000{col 54}{space 4} .0608085{col 67}{space 3} .1871772
{txt}c_tfull_b_~l {c |}{col 14}{res}{space 2} .0852744{col 26}{space 2} .0385592{col 37}{space 1}    2.21{col 46}{space 3}0.028{col 54}{space 4} .0092047{col 67}{space 3} .1613441
{txt}c_tfull_b_~s {c |}{col 14}{res}{space 2} .0054989{col 26}{space 2}    .0554{col 37}{space 1}    0.10{col 46}{space 3}0.921{col 54}{space 4}-.1037943{col 67}{space 3} .1147921
{txt}c_tfull_b_~d {c |}{col 14}{res}{space 2}   .09122{col 26}{space 2}  .032878{col 37}{space 1}    2.77{col 46}{space 3}0.006{col 54}{space 4} .0263583{col 67}{space 3} .1560817
{txt}c_tfull_ed~r {c |}{col 14}{res}{space 2} .0045883{col 26}{space 2} .0016172{col 37}{space 1}    2.84{col 46}{space 3}0.005{col 54}{space 4}  .001398{col 67}{space 3} .0077787
{txt}c_tfull_b_~x {c |}{col 14}{res}{space 2} .0275659{col 26}{space 2} .0086925{col 37}{space 1}    3.17{col 46}{space 3}0.002{col 54}{space 4} .0104174{col 67}{space 3} .0447144
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} .0035564{col 26}{space 2} .0191754{col 37}{space 1}    0.19{col 46}{space 3}0.853{col 54}{space 4}-.0342728{col 67}{space 3} .0413856
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull = .018{p_end}

{txt}       F(  1,   186) ={res}    0.20
{txt}{col 13}Prob > F ={res}    0.6585

{p 0 7}{space 1}{text:( 1)}{space 1} treatfull = -.018{p_end}

{txt}       F(  1,   186) ={res}    0.71
{txt}{col 13}Prob > F ={res}    0.4011
{txt}note: b_commtg_z_d omitted because of collinearity
{res}
{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}     7,288
{txt}{col 49}F({res}   8{txt},{res}    186{txt}){col 67}= {res}     11.69
{txt}{col 49}Prob > F{col 67}= {res}    0.0000
{txt}{col 49}R-squared{col 67}= {res}    0.0961
{txt}{col 49}Adj R-squared{col 67}= {res}    0.0933
{txt}{col 49}Root MSE{col 67}= {res}    0.5588

{txt}{ralign 78:(Std. Err. adjusted for {res:187} clusters in hc_id)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}  e_commtg_z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2} .0055923{col 26}{space 2} .0280309{col 37}{space 1}    0.20{col 46}{space 3}0.842{col 54}{space 4}-.0497072{col 67}{space 3} .0608917
{txt}{space 2}b_commtg_z {c |}{col 14}{res}{space 2} .0757774{col 26}{space 2} .0135575{col 37}{space 1}    5.59{col 46}{space 3}0.000{col 54}{space 4} .0490312{col 67}{space 3} .1025235
{txt}b_commtg_z_d {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 1}c_tfull_hc2 {c |}{col 14}{res}{space 2} .1239928{col 26}{space 2} .0320277{col 37}{space 1}    3.87{col 46}{space 3}0.000{col 54}{space 4} .0608085{col 67}{space 3} .1871772
{txt}c_tfull_b_~l {c |}{col 14}{res}{space 2} .0852744{col 26}{space 2} .0385592{col 37}{space 1}    2.21{col 46}{space 3}0.028{col 54}{space 4} .0092047{col 67}{space 3} .1613441
{txt}c_tfull_b_~s {c |}{col 14}{res}{space 2} .0054989{col 26}{space 2}    .0554{col 37}{space 1}    0.10{col 46}{space 3}0.921{col 54}{space 4}-.1037943{col 67}{space 3} .1147921
{txt}c_tfull_b_~d {c |}{col 14}{res}{space 2}   .09122{col 26}{space 2}  .032878{col 37}{space 1}    2.77{col 46}{space 3}0.006{col 54}{space 4} .0263583{col 67}{space 3} .1560817
{txt}c_tfull_ed~r {c |}{col 14}{res}{space 2} .0045883{col 26}{space 2} .0016172{col 37}{space 1}    2.84{col 46}{space 3}0.005{col 54}{space 4}  .001398{col 67}{space 3} .0077787
{txt}c_tfull_b_~x {c |}{col 14}{res}{space 2} .0275659{col 26}{space 2} .0086925{col 37}{space 1}    3.17{col 46}{space 3}0.002{col 54}{space 4} .0104174{col 67}{space 3} .0447144
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} .0035564{col 26}{space 2} .0191754{col 37}{space 1}    0.19{col 46}{space 3}0.853{col 54}{space 4}-.0342728{col 67}{space 3} .0413856
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull = .019{p_end}

{txt}       F(  1,   186) ={res}    0.23
{txt}{col 13}Prob > F ={res}    0.6330

{p 0 7}{space 1}{text:( 1)}{space 1} treatfull = -.019{p_end}

{txt}       F(  1,   186) ={res}    0.77
{txt}{col 13}Prob > F ={res}    0.3814
{txt}note: b_commtg_z_d omitted because of collinearity
{res}
{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}     7,288
{txt}{col 49}F({res}   8{txt},{res}    186{txt}){col 67}= {res}     11.69
{txt}{col 49}Prob > F{col 67}= {res}    0.0000
{txt}{col 49}R-squared{col 67}= {res}    0.0961
{txt}{col 49}Adj R-squared{col 67}= {res}    0.0933
{txt}{col 49}Root MSE{col 67}= {res}    0.5588

{txt}{ralign 78:(Std. Err. adjusted for {res:187} clusters in hc_id)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}  e_commtg_z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2} .0055923{col 26}{space 2} .0280309{col 37}{space 1}    0.20{col 46}{space 3}0.842{col 54}{space 4}-.0497072{col 67}{space 3} .0608917
{txt}{space 2}b_commtg_z {c |}{col 14}{res}{space 2} .0757774{col 26}{space 2} .0135575{col 37}{space 1}    5.59{col 46}{space 3}0.000{col 54}{space 4} .0490312{col 67}{space 3} .1025235
{txt}b_commtg_z_d {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 1}c_tfull_hc2 {c |}{col 14}{res}{space 2} .1239928{col 26}{space 2} .0320277{col 37}{space 1}    3.87{col 46}{space 3}0.000{col 54}{space 4} .0608085{col 67}{space 3} .1871772
{txt}c_tfull_b_~l {c |}{col 14}{res}{space 2} .0852744{col 26}{space 2} .0385592{col 37}{space 1}    2.21{col 46}{space 3}0.028{col 54}{space 4} .0092047{col 67}{space 3} .1613441
{txt}c_tfull_b_~s {c |}{col 14}{res}{space 2} .0054989{col 26}{space 2}    .0554{col 37}{space 1}    0.10{col 46}{space 3}0.921{col 54}{space 4}-.1037943{col 67}{space 3} .1147921
{txt}c_tfull_b_~d {c |}{col 14}{res}{space 2}   .09122{col 26}{space 2}  .032878{col 37}{space 1}    2.77{col 46}{space 3}0.006{col 54}{space 4} .0263583{col 67}{space 3} .1560817
{txt}c_tfull_ed~r {c |}{col 14}{res}{space 2} .0045883{col 26}{space 2} .0016172{col 37}{space 1}    2.84{col 46}{space 3}0.005{col 54}{space 4}  .001398{col 67}{space 3} .0077787
{txt}c_tfull_b_~x {c |}{col 14}{res}{space 2} .0275659{col 26}{space 2} .0086925{col 37}{space 1}    3.17{col 46}{space 3}0.002{col 54}{space 4} .0104174{col 67}{space 3} .0447144
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} .0035564{col 26}{space 2} .0191754{col 37}{space 1}    0.19{col 46}{space 3}0.853{col 54}{space 4}-.0342728{col 67}{space 3} .0413856
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull = .02{p_end}

{txt}       F(  1,   186) ={res}    0.26
{txt}{col 13}Prob > F ={res}    0.6079

{p 0 7}{space 1}{text:( 1)}{space 1} treatfull = -.02{p_end}

{txt}       F(  1,   186) ={res}    0.83
{txt}{col 13}Prob > F ={res}    0.3624
{txt}note: b_commtg_z_d omitted because of collinearity
{res}
{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}     7,288
{txt}{col 49}F({res}   8{txt},{res}    186{txt}){col 67}= {res}     11.69
{txt}{col 49}Prob > F{col 67}= {res}    0.0000
{txt}{col 49}R-squared{col 67}= {res}    0.0961
{txt}{col 49}Adj R-squared{col 67}= {res}    0.0933
{txt}{col 49}Root MSE{col 67}= {res}    0.5588

{txt}{ralign 78:(Std. Err. adjusted for {res:187} clusters in hc_id)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}  e_commtg_z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2} .0055923{col 26}{space 2} .0280309{col 37}{space 1}    0.20{col 46}{space 3}0.842{col 54}{space 4}-.0497072{col 67}{space 3} .0608917
{txt}{space 2}b_commtg_z {c |}{col 14}{res}{space 2} .0757774{col 26}{space 2} .0135575{col 37}{space 1}    5.59{col 46}{space 3}0.000{col 54}{space 4} .0490312{col 67}{space 3} .1025235
{txt}b_commtg_z_d {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 1}c_tfull_hc2 {c |}{col 14}{res}{space 2} .1239928{col 26}{space 2} .0320277{col 37}{space 1}    3.87{col 46}{space 3}0.000{col 54}{space 4} .0608085{col 67}{space 3} .1871772
{txt}c_tfull_b_~l {c |}{col 14}{res}{space 2} .0852744{col 26}{space 2} .0385592{col 37}{space 1}    2.21{col 46}{space 3}0.028{col 54}{space 4} .0092047{col 67}{space 3} .1613441
{txt}c_tfull_b_~s {c |}{col 14}{res}{space 2} .0054989{col 26}{space 2}    .0554{col 37}{space 1}    0.10{col 46}{space 3}0.921{col 54}{space 4}-.1037943{col 67}{space 3} .1147921
{txt}c_tfull_b_~d {c |}{col 14}{res}{space 2}   .09122{col 26}{space 2}  .032878{col 37}{space 1}    2.77{col 46}{space 3}0.006{col 54}{space 4} .0263583{col 67}{space 3} .1560817
{txt}c_tfull_ed~r {c |}{col 14}{res}{space 2} .0045883{col 26}{space 2} .0016172{col 37}{space 1}    2.84{col 46}{space 3}0.005{col 54}{space 4}  .001398{col 67}{space 3} .0077787
{txt}c_tfull_b_~x {c |}{col 14}{res}{space 2} .0275659{col 26}{space 2} .0086925{col 37}{space 1}    3.17{col 46}{space 3}0.002{col 54}{space 4} .0104174{col 67}{space 3} .0447144
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} .0035564{col 26}{space 2} .0191754{col 37}{space 1}    0.19{col 46}{space 3}0.853{col 54}{space 4}-.0342728{col 67}{space 3} .0413856
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull = .021{p_end}

{txt}       F(  1,   186) ={res}    0.30
{txt}{col 13}Prob > F ={res}    0.5832

{p 0 7}{space 1}{text:( 1)}{space 1} treatfull = -.021{p_end}

{txt}       F(  1,   186) ={res}    0.90
{txt}{col 13}Prob > F ={res}    0.3440
{txt}note: b_commtg_z_d omitted because of collinearity
{res}
{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}     7,288
{txt}{col 49}F({res}   8{txt},{res}    186{txt}){col 67}= {res}     11.69
{txt}{col 49}Prob > F{col 67}= {res}    0.0000
{txt}{col 49}R-squared{col 67}= {res}    0.0961
{txt}{col 49}Adj R-squared{col 67}= {res}    0.0933
{txt}{col 49}Root MSE{col 67}= {res}    0.5588

{txt}{ralign 78:(Std. Err. adjusted for {res:187} clusters in hc_id)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}  e_commtg_z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2} .0055923{col 26}{space 2} .0280309{col 37}{space 1}    0.20{col 46}{space 3}0.842{col 54}{space 4}-.0497072{col 67}{space 3} .0608917
{txt}{space 2}b_commtg_z {c |}{col 14}{res}{space 2} .0757774{col 26}{space 2} .0135575{col 37}{space 1}    5.59{col 46}{space 3}0.000{col 54}{space 4} .0490312{col 67}{space 3} .1025235
{txt}b_commtg_z_d {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 1}c_tfull_hc2 {c |}{col 14}{res}{space 2} .1239928{col 26}{space 2} .0320277{col 37}{space 1}    3.87{col 46}{space 3}0.000{col 54}{space 4} .0608085{col 67}{space 3} .1871772
{txt}c_tfull_b_~l {c |}{col 14}{res}{space 2} .0852744{col 26}{space 2} .0385592{col 37}{space 1}    2.21{col 46}{space 3}0.028{col 54}{space 4} .0092047{col 67}{space 3} .1613441
{txt}c_tfull_b_~s {c |}{col 14}{res}{space 2} .0054989{col 26}{space 2}    .0554{col 37}{space 1}    0.10{col 46}{space 3}0.921{col 54}{space 4}-.1037943{col 67}{space 3} .1147921
{txt}c_tfull_b_~d {c |}{col 14}{res}{space 2}   .09122{col 26}{space 2}  .032878{col 37}{space 1}    2.77{col 46}{space 3}0.006{col 54}{space 4} .0263583{col 67}{space 3} .1560817
{txt}c_tfull_ed~r {c |}{col 14}{res}{space 2} .0045883{col 26}{space 2} .0016172{col 37}{space 1}    2.84{col 46}{space 3}0.005{col 54}{space 4}  .001398{col 67}{space 3} .0077787
{txt}c_tfull_b_~x {c |}{col 14}{res}{space 2} .0275659{col 26}{space 2} .0086925{col 37}{space 1}    3.17{col 46}{space 3}0.002{col 54}{space 4} .0104174{col 67}{space 3} .0447144
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} .0035564{col 26}{space 2} .0191754{col 37}{space 1}    0.19{col 46}{space 3}0.853{col 54}{space 4}-.0342728{col 67}{space 3} .0413856
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull = .022{p_end}

{txt}       F(  1,   186) ={res}    0.34
{txt}{col 13}Prob > F ={res}    0.5590

{p 0 7}{space 1}{text:( 1)}{space 1} treatfull = -.022{p_end}

{txt}       F(  1,   186) ={res}    0.97
{txt}{col 13}Prob > F ={res}    0.3262
{txt}note: b_commtg_z_d omitted because of collinearity
{res}
{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}     7,288
{txt}{col 49}F({res}   8{txt},{res}    186{txt}){col 67}= {res}     11.69
{txt}{col 49}Prob > F{col 67}= {res}    0.0000
{txt}{col 49}R-squared{col 67}= {res}    0.0961
{txt}{col 49}Adj R-squared{col 67}= {res}    0.0933
{txt}{col 49}Root MSE{col 67}= {res}    0.5588

{txt}{ralign 78:(Std. Err. adjusted for {res:187} clusters in hc_id)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}  e_commtg_z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2} .0055923{col 26}{space 2} .0280309{col 37}{space 1}    0.20{col 46}{space 3}0.842{col 54}{space 4}-.0497072{col 67}{space 3} .0608917
{txt}{space 2}b_commtg_z {c |}{col 14}{res}{space 2} .0757774{col 26}{space 2} .0135575{col 37}{space 1}    5.59{col 46}{space 3}0.000{col 54}{space 4} .0490312{col 67}{space 3} .1025235
{txt}b_commtg_z_d {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 1}c_tfull_hc2 {c |}{col 14}{res}{space 2} .1239928{col 26}{space 2} .0320277{col 37}{space 1}    3.87{col 46}{space 3}0.000{col 54}{space 4} .0608085{col 67}{space 3} .1871772
{txt}c_tfull_b_~l {c |}{col 14}{res}{space 2} .0852744{col 26}{space 2} .0385592{col 37}{space 1}    2.21{col 46}{space 3}0.028{col 54}{space 4} .0092047{col 67}{space 3} .1613441
{txt}c_tfull_b_~s {c |}{col 14}{res}{space 2} .0054989{col 26}{space 2}    .0554{col 37}{space 1}    0.10{col 46}{space 3}0.921{col 54}{space 4}-.1037943{col 67}{space 3} .1147921
{txt}c_tfull_b_~d {c |}{col 14}{res}{space 2}   .09122{col 26}{space 2}  .032878{col 37}{space 1}    2.77{col 46}{space 3}0.006{col 54}{space 4} .0263583{col 67}{space 3} .1560817
{txt}c_tfull_ed~r {c |}{col 14}{res}{space 2} .0045883{col 26}{space 2} .0016172{col 37}{space 1}    2.84{col 46}{space 3}0.005{col 54}{space 4}  .001398{col 67}{space 3} .0077787
{txt}c_tfull_b_~x {c |}{col 14}{res}{space 2} .0275659{col 26}{space 2} .0086925{col 37}{space 1}    3.17{col 46}{space 3}0.002{col 54}{space 4} .0104174{col 67}{space 3} .0447144
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} .0035564{col 26}{space 2} .0191754{col 37}{space 1}    0.19{col 46}{space 3}0.853{col 54}{space 4}-.0342728{col 67}{space 3} .0413856
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull = .023{p_end}

{txt}       F(  1,   186) ={res}    0.39
{txt}{col 13}Prob > F ={res}    0.5353

{p 0 7}{space 1}{text:( 1)}{space 1} treatfull = -.023{p_end}

{txt}       F(  1,   186) ={res}    1.04
{txt}{col 13}Prob > F ={res}    0.3090
{txt}note: b_commtg_z_d omitted because of collinearity
{res}
{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}     7,288
{txt}{col 49}F({res}   8{txt},{res}    186{txt}){col 67}= {res}     11.69
{txt}{col 49}Prob > F{col 67}= {res}    0.0000
{txt}{col 49}R-squared{col 67}= {res}    0.0961
{txt}{col 49}Adj R-squared{col 67}= {res}    0.0933
{txt}{col 49}Root MSE{col 67}= {res}    0.5588

{txt}{ralign 78:(Std. Err. adjusted for {res:187} clusters in hc_id)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}  e_commtg_z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2} .0055923{col 26}{space 2} .0280309{col 37}{space 1}    0.20{col 46}{space 3}0.842{col 54}{space 4}-.0497072{col 67}{space 3} .0608917
{txt}{space 2}b_commtg_z {c |}{col 14}{res}{space 2} .0757774{col 26}{space 2} .0135575{col 37}{space 1}    5.59{col 46}{space 3}0.000{col 54}{space 4} .0490312{col 67}{space 3} .1025235
{txt}b_commtg_z_d {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 1}c_tfull_hc2 {c |}{col 14}{res}{space 2} .1239928{col 26}{space 2} .0320277{col 37}{space 1}    3.87{col 46}{space 3}0.000{col 54}{space 4} .0608085{col 67}{space 3} .1871772
{txt}c_tfull_b_~l {c |}{col 14}{res}{space 2} .0852744{col 26}{space 2} .0385592{col 37}{space 1}    2.21{col 46}{space 3}0.028{col 54}{space 4} .0092047{col 67}{space 3} .1613441
{txt}c_tfull_b_~s {c |}{col 14}{res}{space 2} .0054989{col 26}{space 2}    .0554{col 37}{space 1}    0.10{col 46}{space 3}0.921{col 54}{space 4}-.1037943{col 67}{space 3} .1147921
{txt}c_tfull_b_~d {c |}{col 14}{res}{space 2}   .09122{col 26}{space 2}  .032878{col 37}{space 1}    2.77{col 46}{space 3}0.006{col 54}{space 4} .0263583{col 67}{space 3} .1560817
{txt}c_tfull_ed~r {c |}{col 14}{res}{space 2} .0045883{col 26}{space 2} .0016172{col 37}{space 1}    2.84{col 46}{space 3}0.005{col 54}{space 4}  .001398{col 67}{space 3} .0077787
{txt}c_tfull_b_~x {c |}{col 14}{res}{space 2} .0275659{col 26}{space 2} .0086925{col 37}{space 1}    3.17{col 46}{space 3}0.002{col 54}{space 4} .0104174{col 67}{space 3} .0447144
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} .0035564{col 26}{space 2} .0191754{col 37}{space 1}    0.19{col 46}{space 3}0.853{col 54}{space 4}-.0342728{col 67}{space 3} .0413856
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull = .024{p_end}

{txt}       F(  1,   186) ={res}    0.43
{txt}{col 13}Prob > F ={res}    0.5122

{p 0 7}{space 1}{text:( 1)}{space 1} treatfull = -.024{p_end}

{txt}       F(  1,   186) ={res}    1.11
{txt}{col 13}Prob > F ={res}    0.2925
{txt}note: b_commtg_z_d omitted because of collinearity
{res}
{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}     7,288
{txt}{col 49}F({res}   8{txt},{res}    186{txt}){col 67}= {res}     11.69
{txt}{col 49}Prob > F{col 67}= {res}    0.0000
{txt}{col 49}R-squared{col 67}= {res}    0.0961
{txt}{col 49}Adj R-squared{col 67}= {res}    0.0933
{txt}{col 49}Root MSE{col 67}= {res}    0.5588

{txt}{ralign 78:(Std. Err. adjusted for {res:187} clusters in hc_id)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}  e_commtg_z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2} .0055923{col 26}{space 2} .0280309{col 37}{space 1}    0.20{col 46}{space 3}0.842{col 54}{space 4}-.0497072{col 67}{space 3} .0608917
{txt}{space 2}b_commtg_z {c |}{col 14}{res}{space 2} .0757774{col 26}{space 2} .0135575{col 37}{space 1}    5.59{col 46}{space 3}0.000{col 54}{space 4} .0490312{col 67}{space 3} .1025235
{txt}b_commtg_z_d {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 1}c_tfull_hc2 {c |}{col 14}{res}{space 2} .1239928{col 26}{space 2} .0320277{col 37}{space 1}    3.87{col 46}{space 3}0.000{col 54}{space 4} .0608085{col 67}{space 3} .1871772
{txt}c_tfull_b_~l {c |}{col 14}{res}{space 2} .0852744{col 26}{space 2} .0385592{col 37}{space 1}    2.21{col 46}{space 3}0.028{col 54}{space 4} .0092047{col 67}{space 3} .1613441
{txt}c_tfull_b_~s {c |}{col 14}{res}{space 2} .0054989{col 26}{space 2}    .0554{col 37}{space 1}    0.10{col 46}{space 3}0.921{col 54}{space 4}-.1037943{col 67}{space 3} .1147921
{txt}c_tfull_b_~d {c |}{col 14}{res}{space 2}   .09122{col 26}{space 2}  .032878{col 37}{space 1}    2.77{col 46}{space 3}0.006{col 54}{space 4} .0263583{col 67}{space 3} .1560817
{txt}c_tfull_ed~r {c |}{col 14}{res}{space 2} .0045883{col 26}{space 2} .0016172{col 37}{space 1}    2.84{col 46}{space 3}0.005{col 54}{space 4}  .001398{col 67}{space 3} .0077787
{txt}c_tfull_b_~x {c |}{col 14}{res}{space 2} .0275659{col 26}{space 2} .0086925{col 37}{space 1}    3.17{col 46}{space 3}0.002{col 54}{space 4} .0104174{col 67}{space 3} .0447144
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} .0035564{col 26}{space 2} .0191754{col 37}{space 1}    0.19{col 46}{space 3}0.853{col 54}{space 4}-.0342728{col 67}{space 3} .0413856
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull = .025{p_end}

{txt}       F(  1,   186) ={res}    0.48
{txt}{col 13}Prob > F ={res}    0.4896

{p 0 7}{space 1}{text:( 1)}{space 1} treatfull = -.025{p_end}

{txt}       F(  1,   186) ={res}    1.19
{txt}{col 13}Prob > F ={res}    0.2765
{txt}note: b_commtg_z_d omitted because of collinearity
{res}
{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}     7,288
{txt}{col 49}F({res}   8{txt},{res}    186{txt}){col 67}= {res}     11.69
{txt}{col 49}Prob > F{col 67}= {res}    0.0000
{txt}{col 49}R-squared{col 67}= {res}    0.0961
{txt}{col 49}Adj R-squared{col 67}= {res}    0.0933
{txt}{col 49}Root MSE{col 67}= {res}    0.5588

{txt}{ralign 78:(Std. Err. adjusted for {res:187} clusters in hc_id)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}  e_commtg_z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2} .0055923{col 26}{space 2} .0280309{col 37}{space 1}    0.20{col 46}{space 3}0.842{col 54}{space 4}-.0497072{col 67}{space 3} .0608917
{txt}{space 2}b_commtg_z {c |}{col 14}{res}{space 2} .0757774{col 26}{space 2} .0135575{col 37}{space 1}    5.59{col 46}{space 3}0.000{col 54}{space 4} .0490312{col 67}{space 3} .1025235
{txt}b_commtg_z_d {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 1}c_tfull_hc2 {c |}{col 14}{res}{space 2} .1239928{col 26}{space 2} .0320277{col 37}{space 1}    3.87{col 46}{space 3}0.000{col 54}{space 4} .0608085{col 67}{space 3} .1871772
{txt}c_tfull_b_~l {c |}{col 14}{res}{space 2} .0852744{col 26}{space 2} .0385592{col 37}{space 1}    2.21{col 46}{space 3}0.028{col 54}{space 4} .0092047{col 67}{space 3} .1613441
{txt}c_tfull_b_~s {c |}{col 14}{res}{space 2} .0054989{col 26}{space 2}    .0554{col 37}{space 1}    0.10{col 46}{space 3}0.921{col 54}{space 4}-.1037943{col 67}{space 3} .1147921
{txt}c_tfull_b_~d {c |}{col 14}{res}{space 2}   .09122{col 26}{space 2}  .032878{col 37}{space 1}    2.77{col 46}{space 3}0.006{col 54}{space 4} .0263583{col 67}{space 3} .1560817
{txt}c_tfull_ed~r {c |}{col 14}{res}{space 2} .0045883{col 26}{space 2} .0016172{col 37}{space 1}    2.84{col 46}{space 3}0.005{col 54}{space 4}  .001398{col 67}{space 3} .0077787
{txt}c_tfull_b_~x {c |}{col 14}{res}{space 2} .0275659{col 26}{space 2} .0086925{col 37}{space 1}    3.17{col 46}{space 3}0.002{col 54}{space 4} .0104174{col 67}{space 3} .0447144
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} .0035564{col 26}{space 2} .0191754{col 37}{space 1}    0.19{col 46}{space 3}0.853{col 54}{space 4}-.0342728{col 67}{space 3} .0413856
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull = .026{p_end}

{txt}       F(  1,   186) ={res}    0.53
{txt}{col 13}Prob > F ={res}    0.4675

{p 0 7}{space 1}{text:( 1)}{space 1} treatfull = -.026{p_end}

{txt}       F(  1,   186) ={res}    1.27
{txt}{col 13}Prob > F ={res}    0.2612
{txt}note: b_commtg_z_d omitted because of collinearity
{res}
{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}     7,288
{txt}{col 49}F({res}   8{txt},{res}    186{txt}){col 67}= {res}     11.69
{txt}{col 49}Prob > F{col 67}= {res}    0.0000
{txt}{col 49}R-squared{col 67}= {res}    0.0961
{txt}{col 49}Adj R-squared{col 67}= {res}    0.0933
{txt}{col 49}Root MSE{col 67}= {res}    0.5588

{txt}{ralign 78:(Std. Err. adjusted for {res:187} clusters in hc_id)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}  e_commtg_z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2} .0055923{col 26}{space 2} .0280309{col 37}{space 1}    0.20{col 46}{space 3}0.842{col 54}{space 4}-.0497072{col 67}{space 3} .0608917
{txt}{space 2}b_commtg_z {c |}{col 14}{res}{space 2} .0757774{col 26}{space 2} .0135575{col 37}{space 1}    5.59{col 46}{space 3}0.000{col 54}{space 4} .0490312{col 67}{space 3} .1025235
{txt}b_commtg_z_d {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 1}c_tfull_hc2 {c |}{col 14}{res}{space 2} .1239928{col 26}{space 2} .0320277{col 37}{space 1}    3.87{col 46}{space 3}0.000{col 54}{space 4} .0608085{col 67}{space 3} .1871772
{txt}c_tfull_b_~l {c |}{col 14}{res}{space 2} .0852744{col 26}{space 2} .0385592{col 37}{space 1}    2.21{col 46}{space 3}0.028{col 54}{space 4} .0092047{col 67}{space 3} .1613441
{txt}c_tfull_b_~s {c |}{col 14}{res}{space 2} .0054989{col 26}{space 2}    .0554{col 37}{space 1}    0.10{col 46}{space 3}0.921{col 54}{space 4}-.1037943{col 67}{space 3} .1147921
{txt}c_tfull_b_~d {c |}{col 14}{res}{space 2}   .09122{col 26}{space 2}  .032878{col 37}{space 1}    2.77{col 46}{space 3}0.006{col 54}{space 4} .0263583{col 67}{space 3} .1560817
{txt}c_tfull_ed~r {c |}{col 14}{res}{space 2} .0045883{col 26}{space 2} .0016172{col 37}{space 1}    2.84{col 46}{space 3}0.005{col 54}{space 4}  .001398{col 67}{space 3} .0077787
{txt}c_tfull_b_~x {c |}{col 14}{res}{space 2} .0275659{col 26}{space 2} .0086925{col 37}{space 1}    3.17{col 46}{space 3}0.002{col 54}{space 4} .0104174{col 67}{space 3} .0447144
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} .0035564{col 26}{space 2} .0191754{col 37}{space 1}    0.19{col 46}{space 3}0.853{col 54}{space 4}-.0342728{col 67}{space 3} .0413856
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull = .027{p_end}

{txt}       F(  1,   186) ={res}    0.58
{txt}{col 13}Prob > F ={res}    0.4460

{p 0 7}{space 1}{text:( 1)}{space 1} treatfull = -.027{p_end}

{txt}       F(  1,   186) ={res}    1.35
{txt}{col 13}Prob > F ={res}    0.2464
{txt}note: b_commtg_z_d omitted because of collinearity
{res}
{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}     7,288
{txt}{col 49}F({res}   8{txt},{res}    186{txt}){col 67}= {res}     11.69
{txt}{col 49}Prob > F{col 67}= {res}    0.0000
{txt}{col 49}R-squared{col 67}= {res}    0.0961
{txt}{col 49}Adj R-squared{col 67}= {res}    0.0933
{txt}{col 49}Root MSE{col 67}= {res}    0.5588

{txt}{ralign 78:(Std. Err. adjusted for {res:187} clusters in hc_id)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}  e_commtg_z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2} .0055923{col 26}{space 2} .0280309{col 37}{space 1}    0.20{col 46}{space 3}0.842{col 54}{space 4}-.0497072{col 67}{space 3} .0608917
{txt}{space 2}b_commtg_z {c |}{col 14}{res}{space 2} .0757774{col 26}{space 2} .0135575{col 37}{space 1}    5.59{col 46}{space 3}0.000{col 54}{space 4} .0490312{col 67}{space 3} .1025235
{txt}b_commtg_z_d {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 1}c_tfull_hc2 {c |}{col 14}{res}{space 2} .1239928{col 26}{space 2} .0320277{col 37}{space 1}    3.87{col 46}{space 3}0.000{col 54}{space 4} .0608085{col 67}{space 3} .1871772
{txt}c_tfull_b_~l {c |}{col 14}{res}{space 2} .0852744{col 26}{space 2} .0385592{col 37}{space 1}    2.21{col 46}{space 3}0.028{col 54}{space 4} .0092047{col 67}{space 3} .1613441
{txt}c_tfull_b_~s {c |}{col 14}{res}{space 2} .0054989{col 26}{space 2}    .0554{col 37}{space 1}    0.10{col 46}{space 3}0.921{col 54}{space 4}-.1037943{col 67}{space 3} .1147921
{txt}c_tfull_b_~d {c |}{col 14}{res}{space 2}   .09122{col 26}{space 2}  .032878{col 37}{space 1}    2.77{col 46}{space 3}0.006{col 54}{space 4} .0263583{col 67}{space 3} .1560817
{txt}c_tfull_ed~r {c |}{col 14}{res}{space 2} .0045883{col 26}{space 2} .0016172{col 37}{space 1}    2.84{col 46}{space 3}0.005{col 54}{space 4}  .001398{col 67}{space 3} .0077787
{txt}c_tfull_b_~x {c |}{col 14}{res}{space 2} .0275659{col 26}{space 2} .0086925{col 37}{space 1}    3.17{col 46}{space 3}0.002{col 54}{space 4} .0104174{col 67}{space 3} .0447144
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} .0035564{col 26}{space 2} .0191754{col 37}{space 1}    0.19{col 46}{space 3}0.853{col 54}{space 4}-.0342728{col 67}{space 3} .0413856
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull = .028{p_end}

{txt}       F(  1,   186) ={res}    0.64
{txt}{col 13}Prob > F ={res}    0.4251

{p 0 7}{space 1}{text:( 1)}{space 1} treatfull = -.028{p_end}

{txt}       F(  1,   186) ={res}    1.44
{txt}{col 13}Prob > F ={res}    0.2323
{txt}note: b_commtg_z_d omitted because of collinearity
{res}
{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}     7,288
{txt}{col 49}F({res}   8{txt},{res}    186{txt}){col 67}= {res}     11.69
{txt}{col 49}Prob > F{col 67}= {res}    0.0000
{txt}{col 49}R-squared{col 67}= {res}    0.0961
{txt}{col 49}Adj R-squared{col 67}= {res}    0.0933
{txt}{col 49}Root MSE{col 67}= {res}    0.5588

{txt}{ralign 78:(Std. Err. adjusted for {res:187} clusters in hc_id)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}  e_commtg_z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2} .0055923{col 26}{space 2} .0280309{col 37}{space 1}    0.20{col 46}{space 3}0.842{col 54}{space 4}-.0497072{col 67}{space 3} .0608917
{txt}{space 2}b_commtg_z {c |}{col 14}{res}{space 2} .0757774{col 26}{space 2} .0135575{col 37}{space 1}    5.59{col 46}{space 3}0.000{col 54}{space 4} .0490312{col 67}{space 3} .1025235
{txt}b_commtg_z_d {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 1}c_tfull_hc2 {c |}{col 14}{res}{space 2} .1239928{col 26}{space 2} .0320277{col 37}{space 1}    3.87{col 46}{space 3}0.000{col 54}{space 4} .0608085{col 67}{space 3} .1871772
{txt}c_tfull_b_~l {c |}{col 14}{res}{space 2} .0852744{col 26}{space 2} .0385592{col 37}{space 1}    2.21{col 46}{space 3}0.028{col 54}{space 4} .0092047{col 67}{space 3} .1613441
{txt}c_tfull_b_~s {c |}{col 14}{res}{space 2} .0054989{col 26}{space 2}    .0554{col 37}{space 1}    0.10{col 46}{space 3}0.921{col 54}{space 4}-.1037943{col 67}{space 3} .1147921
{txt}c_tfull_b_~d {c |}{col 14}{res}{space 2}   .09122{col 26}{space 2}  .032878{col 37}{space 1}    2.77{col 46}{space 3}0.006{col 54}{space 4} .0263583{col 67}{space 3} .1560817
{txt}c_tfull_ed~r {c |}{col 14}{res}{space 2} .0045883{col 26}{space 2} .0016172{col 37}{space 1}    2.84{col 46}{space 3}0.005{col 54}{space 4}  .001398{col 67}{space 3} .0077787
{txt}c_tfull_b_~x {c |}{col 14}{res}{space 2} .0275659{col 26}{space 2} .0086925{col 37}{space 1}    3.17{col 46}{space 3}0.002{col 54}{space 4} .0104174{col 67}{space 3} .0447144
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} .0035564{col 26}{space 2} .0191754{col 37}{space 1}    0.19{col 46}{space 3}0.853{col 54}{space 4}-.0342728{col 67}{space 3} .0413856
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull = .029{p_end}

{txt}       F(  1,   186) ={res}    0.70
{txt}{col 13}Prob > F ={res}    0.4048

{p 0 7}{space 1}{text:( 1)}{space 1} treatfull = -.029{p_end}

{txt}       F(  1,   186) ={res}    1.52
{txt}{col 13}Prob > F ={res}    0.2187
{txt}note: b_commtg_z_d omitted because of collinearity
{res}
{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}     7,288
{txt}{col 49}F({res}   8{txt},{res}    186{txt}){col 67}= {res}     11.69
{txt}{col 49}Prob > F{col 67}= {res}    0.0000
{txt}{col 49}R-squared{col 67}= {res}    0.0961
{txt}{col 49}Adj R-squared{col 67}= {res}    0.0933
{txt}{col 49}Root MSE{col 67}= {res}    0.5588

{txt}{ralign 78:(Std. Err. adjusted for {res:187} clusters in hc_id)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}  e_commtg_z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2} .0055923{col 26}{space 2} .0280309{col 37}{space 1}    0.20{col 46}{space 3}0.842{col 54}{space 4}-.0497072{col 67}{space 3} .0608917
{txt}{space 2}b_commtg_z {c |}{col 14}{res}{space 2} .0757774{col 26}{space 2} .0135575{col 37}{space 1}    5.59{col 46}{space 3}0.000{col 54}{space 4} .0490312{col 67}{space 3} .1025235
{txt}b_commtg_z_d {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 1}c_tfull_hc2 {c |}{col 14}{res}{space 2} .1239928{col 26}{space 2} .0320277{col 37}{space 1}    3.87{col 46}{space 3}0.000{col 54}{space 4} .0608085{col 67}{space 3} .1871772
{txt}c_tfull_b_~l {c |}{col 14}{res}{space 2} .0852744{col 26}{space 2} .0385592{col 37}{space 1}    2.21{col 46}{space 3}0.028{col 54}{space 4} .0092047{col 67}{space 3} .1613441
{txt}c_tfull_b_~s {c |}{col 14}{res}{space 2} .0054989{col 26}{space 2}    .0554{col 37}{space 1}    0.10{col 46}{space 3}0.921{col 54}{space 4}-.1037943{col 67}{space 3} .1147921
{txt}c_tfull_b_~d {c |}{col 14}{res}{space 2}   .09122{col 26}{space 2}  .032878{col 37}{space 1}    2.77{col 46}{space 3}0.006{col 54}{space 4} .0263583{col 67}{space 3} .1560817
{txt}c_tfull_ed~r {c |}{col 14}{res}{space 2} .0045883{col 26}{space 2} .0016172{col 37}{space 1}    2.84{col 46}{space 3}0.005{col 54}{space 4}  .001398{col 67}{space 3} .0077787
{txt}c_tfull_b_~x {c |}{col 14}{res}{space 2} .0275659{col 26}{space 2} .0086925{col 37}{space 1}    3.17{col 46}{space 3}0.002{col 54}{space 4} .0104174{col 67}{space 3} .0447144
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} .0035564{col 26}{space 2} .0191754{col 37}{space 1}    0.19{col 46}{space 3}0.853{col 54}{space 4}-.0342728{col 67}{space 3} .0413856
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull = .03{p_end}

{txt}       F(  1,   186) ={res}    0.76
{txt}{col 13}Prob > F ={res}    0.3850

{p 0 7}{space 1}{text:( 1)}{space 1} treatfull = -.03{p_end}

{txt}       F(  1,   186) ={res}    1.61
{txt}{col 13}Prob > F ={res}    0.2058
{txt}note: b_commtg_z_d omitted because of collinearity
{res}
{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}     7,288
{txt}{col 49}F({res}   8{txt},{res}    186{txt}){col 67}= {res}     11.69
{txt}{col 49}Prob > F{col 67}= {res}    0.0000
{txt}{col 49}R-squared{col 67}= {res}    0.0961
{txt}{col 49}Adj R-squared{col 67}= {res}    0.0933
{txt}{col 49}Root MSE{col 67}= {res}    0.5588

{txt}{ralign 78:(Std. Err. adjusted for {res:187} clusters in hc_id)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}  e_commtg_z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2} .0055923{col 26}{space 2} .0280309{col 37}{space 1}    0.20{col 46}{space 3}0.842{col 54}{space 4}-.0497072{col 67}{space 3} .0608917
{txt}{space 2}b_commtg_z {c |}{col 14}{res}{space 2} .0757774{col 26}{space 2} .0135575{col 37}{space 1}    5.59{col 46}{space 3}0.000{col 54}{space 4} .0490312{col 67}{space 3} .1025235
{txt}b_commtg_z_d {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 1}c_tfull_hc2 {c |}{col 14}{res}{space 2} .1239928{col 26}{space 2} .0320277{col 37}{space 1}    3.87{col 46}{space 3}0.000{col 54}{space 4} .0608085{col 67}{space 3} .1871772
{txt}c_tfull_b_~l {c |}{col 14}{res}{space 2} .0852744{col 26}{space 2} .0385592{col 37}{space 1}    2.21{col 46}{space 3}0.028{col 54}{space 4} .0092047{col 67}{space 3} .1613441
{txt}c_tfull_b_~s {c |}{col 14}{res}{space 2} .0054989{col 26}{space 2}    .0554{col 37}{space 1}    0.10{col 46}{space 3}0.921{col 54}{space 4}-.1037943{col 67}{space 3} .1147921
{txt}c_tfull_b_~d {c |}{col 14}{res}{space 2}   .09122{col 26}{space 2}  .032878{col 37}{space 1}    2.77{col 46}{space 3}0.006{col 54}{space 4} .0263583{col 67}{space 3} .1560817
{txt}c_tfull_ed~r {c |}{col 14}{res}{space 2} .0045883{col 26}{space 2} .0016172{col 37}{space 1}    2.84{col 46}{space 3}0.005{col 54}{space 4}  .001398{col 67}{space 3} .0077787
{txt}c_tfull_b_~x {c |}{col 14}{res}{space 2} .0275659{col 26}{space 2} .0086925{col 37}{space 1}    3.17{col 46}{space 3}0.002{col 54}{space 4} .0104174{col 67}{space 3} .0447144
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} .0035564{col 26}{space 2} .0191754{col 37}{space 1}    0.19{col 46}{space 3}0.853{col 54}{space 4}-.0342728{col 67}{space 3} .0413856
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull = .031{p_end}

{txt}       F(  1,   186) ={res}    0.82
{txt}{col 13}Prob > F ={res}    0.3659

{p 0 7}{space 1}{text:( 1)}{space 1} treatfull = -.031{p_end}

{txt}       F(  1,   186) ={res}    1.70
{txt}{col 13}Prob > F ={res}    0.1934
{txt}note: b_commtg_z_d omitted because of collinearity
{res}
{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}     7,288
{txt}{col 49}F({res}   8{txt},{res}    186{txt}){col 67}= {res}     11.69
{txt}{col 49}Prob > F{col 67}= {res}    0.0000
{txt}{col 49}R-squared{col 67}= {res}    0.0961
{txt}{col 49}Adj R-squared{col 67}= {res}    0.0933
{txt}{col 49}Root MSE{col 67}= {res}    0.5588

{txt}{ralign 78:(Std. Err. adjusted for {res:187} clusters in hc_id)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}  e_commtg_z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2} .0055923{col 26}{space 2} .0280309{col 37}{space 1}    0.20{col 46}{space 3}0.842{col 54}{space 4}-.0497072{col 67}{space 3} .0608917
{txt}{space 2}b_commtg_z {c |}{col 14}{res}{space 2} .0757774{col 26}{space 2} .0135575{col 37}{space 1}    5.59{col 46}{space 3}0.000{col 54}{space 4} .0490312{col 67}{space 3} .1025235
{txt}b_commtg_z_d {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 1}c_tfull_hc2 {c |}{col 14}{res}{space 2} .1239928{col 26}{space 2} .0320277{col 37}{space 1}    3.87{col 46}{space 3}0.000{col 54}{space 4} .0608085{col 67}{space 3} .1871772
{txt}c_tfull_b_~l {c |}{col 14}{res}{space 2} .0852744{col 26}{space 2} .0385592{col 37}{space 1}    2.21{col 46}{space 3}0.028{col 54}{space 4} .0092047{col 67}{space 3} .1613441
{txt}c_tfull_b_~s {c |}{col 14}{res}{space 2} .0054989{col 26}{space 2}    .0554{col 37}{space 1}    0.10{col 46}{space 3}0.921{col 54}{space 4}-.1037943{col 67}{space 3} .1147921
{txt}c_tfull_b_~d {c |}{col 14}{res}{space 2}   .09122{col 26}{space 2}  .032878{col 37}{space 1}    2.77{col 46}{space 3}0.006{col 54}{space 4} .0263583{col 67}{space 3} .1560817
{txt}c_tfull_ed~r {c |}{col 14}{res}{space 2} .0045883{col 26}{space 2} .0016172{col 37}{space 1}    2.84{col 46}{space 3}0.005{col 54}{space 4}  .001398{col 67}{space 3} .0077787
{txt}c_tfull_b_~x {c |}{col 14}{res}{space 2} .0275659{col 26}{space 2} .0086925{col 37}{space 1}    3.17{col 46}{space 3}0.002{col 54}{space 4} .0104174{col 67}{space 3} .0447144
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} .0035564{col 26}{space 2} .0191754{col 37}{space 1}    0.19{col 46}{space 3}0.853{col 54}{space 4}-.0342728{col 67}{space 3} .0413856
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull = .032{p_end}

{txt}       F(  1,   186) ={res}    0.89
{txt}{col 13}Prob > F ={res}    0.3474

{p 0 7}{space 1}{text:( 1)}{space 1} treatfull = -.032{p_end}

{txt}       F(  1,   186) ={res}    1.80
{txt}{col 13}Prob > F ={res}    0.1815
{txt}note: b_commtg_z_d omitted because of collinearity
{res}
{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}     7,288
{txt}{col 49}F({res}   8{txt},{res}    186{txt}){col 67}= {res}     11.69
{txt}{col 49}Prob > F{col 67}= {res}    0.0000
{txt}{col 49}R-squared{col 67}= {res}    0.0961
{txt}{col 49}Adj R-squared{col 67}= {res}    0.0933
{txt}{col 49}Root MSE{col 67}= {res}    0.5588

{txt}{ralign 78:(Std. Err. adjusted for {res:187} clusters in hc_id)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}  e_commtg_z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2} .0055923{col 26}{space 2} .0280309{col 37}{space 1}    0.20{col 46}{space 3}0.842{col 54}{space 4}-.0497072{col 67}{space 3} .0608917
{txt}{space 2}b_commtg_z {c |}{col 14}{res}{space 2} .0757774{col 26}{space 2} .0135575{col 37}{space 1}    5.59{col 46}{space 3}0.000{col 54}{space 4} .0490312{col 67}{space 3} .1025235
{txt}b_commtg_z_d {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 1}c_tfull_hc2 {c |}{col 14}{res}{space 2} .1239928{col 26}{space 2} .0320277{col 37}{space 1}    3.87{col 46}{space 3}0.000{col 54}{space 4} .0608085{col 67}{space 3} .1871772
{txt}c_tfull_b_~l {c |}{col 14}{res}{space 2} .0852744{col 26}{space 2} .0385592{col 37}{space 1}    2.21{col 46}{space 3}0.028{col 54}{space 4} .0092047{col 67}{space 3} .1613441
{txt}c_tfull_b_~s {c |}{col 14}{res}{space 2} .0054989{col 26}{space 2}    .0554{col 37}{space 1}    0.10{col 46}{space 3}0.921{col 54}{space 4}-.1037943{col 67}{space 3} .1147921
{txt}c_tfull_b_~d {c |}{col 14}{res}{space 2}   .09122{col 26}{space 2}  .032878{col 37}{space 1}    2.77{col 46}{space 3}0.006{col 54}{space 4} .0263583{col 67}{space 3} .1560817
{txt}c_tfull_ed~r {c |}{col 14}{res}{space 2} .0045883{col 26}{space 2} .0016172{col 37}{space 1}    2.84{col 46}{space 3}0.005{col 54}{space 4}  .001398{col 67}{space 3} .0077787
{txt}c_tfull_b_~x {c |}{col 14}{res}{space 2} .0275659{col 26}{space 2} .0086925{col 37}{space 1}    3.17{col 46}{space 3}0.002{col 54}{space 4} .0104174{col 67}{space 3} .0447144
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} .0035564{col 26}{space 2} .0191754{col 37}{space 1}    0.19{col 46}{space 3}0.853{col 54}{space 4}-.0342728{col 67}{space 3} .0413856
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull = .033{p_end}

{txt}       F(  1,   186) ={res}    0.96
{txt}{col 13}Prob > F ={res}    0.3295

{p 0 7}{space 1}{text:( 1)}{space 1} treatfull = -.033{p_end}

{txt}       F(  1,   186) ={res}    1.90
{txt}{col 13}Prob > F ={res}    0.1702
{txt}note: b_commtg_z_d omitted because of collinearity
{res}
{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}     7,288
{txt}{col 49}F({res}   8{txt},{res}    186{txt}){col 67}= {res}     11.69
{txt}{col 49}Prob > F{col 67}= {res}    0.0000
{txt}{col 49}R-squared{col 67}= {res}    0.0961
{txt}{col 49}Adj R-squared{col 67}= {res}    0.0933
{txt}{col 49}Root MSE{col 67}= {res}    0.5588

{txt}{ralign 78:(Std. Err. adjusted for {res:187} clusters in hc_id)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}  e_commtg_z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2} .0055923{col 26}{space 2} .0280309{col 37}{space 1}    0.20{col 46}{space 3}0.842{col 54}{space 4}-.0497072{col 67}{space 3} .0608917
{txt}{space 2}b_commtg_z {c |}{col 14}{res}{space 2} .0757774{col 26}{space 2} .0135575{col 37}{space 1}    5.59{col 46}{space 3}0.000{col 54}{space 4} .0490312{col 67}{space 3} .1025235
{txt}b_commtg_z_d {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 1}c_tfull_hc2 {c |}{col 14}{res}{space 2} .1239928{col 26}{space 2} .0320277{col 37}{space 1}    3.87{col 46}{space 3}0.000{col 54}{space 4} .0608085{col 67}{space 3} .1871772
{txt}c_tfull_b_~l {c |}{col 14}{res}{space 2} .0852744{col 26}{space 2} .0385592{col 37}{space 1}    2.21{col 46}{space 3}0.028{col 54}{space 4} .0092047{col 67}{space 3} .1613441
{txt}c_tfull_b_~s {c |}{col 14}{res}{space 2} .0054989{col 26}{space 2}    .0554{col 37}{space 1}    0.10{col 46}{space 3}0.921{col 54}{space 4}-.1037943{col 67}{space 3} .1147921
{txt}c_tfull_b_~d {c |}{col 14}{res}{space 2}   .09122{col 26}{space 2}  .032878{col 37}{space 1}    2.77{col 46}{space 3}0.006{col 54}{space 4} .0263583{col 67}{space 3} .1560817
{txt}c_tfull_ed~r {c |}{col 14}{res}{space 2} .0045883{col 26}{space 2} .0016172{col 37}{space 1}    2.84{col 46}{space 3}0.005{col 54}{space 4}  .001398{col 67}{space 3} .0077787
{txt}c_tfull_b_~x {c |}{col 14}{res}{space 2} .0275659{col 26}{space 2} .0086925{col 37}{space 1}    3.17{col 46}{space 3}0.002{col 54}{space 4} .0104174{col 67}{space 3} .0447144
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} .0035564{col 26}{space 2} .0191754{col 37}{space 1}    0.19{col 46}{space 3}0.853{col 54}{space 4}-.0342728{col 67}{space 3} .0413856
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull = .034{p_end}

{txt}       F(  1,   186) ={res}    1.03
{txt}{col 13}Prob > F ={res}    0.3122

{p 0 7}{space 1}{text:( 1)}{space 1} treatfull = -.034{p_end}

{txt}       F(  1,   186) ={res}    2.00
{txt}{col 13}Prob > F ={res}    0.1595
{txt}note: b_commtg_z_d omitted because of collinearity
{res}
{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}     7,288
{txt}{col 49}F({res}   8{txt},{res}    186{txt}){col 67}= {res}     11.69
{txt}{col 49}Prob > F{col 67}= {res}    0.0000
{txt}{col 49}R-squared{col 67}= {res}    0.0961
{txt}{col 49}Adj R-squared{col 67}= {res}    0.0933
{txt}{col 49}Root MSE{col 67}= {res}    0.5588

{txt}{ralign 78:(Std. Err. adjusted for {res:187} clusters in hc_id)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}  e_commtg_z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2} .0055923{col 26}{space 2} .0280309{col 37}{space 1}    0.20{col 46}{space 3}0.842{col 54}{space 4}-.0497072{col 67}{space 3} .0608917
{txt}{space 2}b_commtg_z {c |}{col 14}{res}{space 2} .0757774{col 26}{space 2} .0135575{col 37}{space 1}    5.59{col 46}{space 3}0.000{col 54}{space 4} .0490312{col 67}{space 3} .1025235
{txt}b_commtg_z_d {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 1}c_tfull_hc2 {c |}{col 14}{res}{space 2} .1239928{col 26}{space 2} .0320277{col 37}{space 1}    3.87{col 46}{space 3}0.000{col 54}{space 4} .0608085{col 67}{space 3} .1871772
{txt}c_tfull_b_~l {c |}{col 14}{res}{space 2} .0852744{col 26}{space 2} .0385592{col 37}{space 1}    2.21{col 46}{space 3}0.028{col 54}{space 4} .0092047{col 67}{space 3} .1613441
{txt}c_tfull_b_~s {c |}{col 14}{res}{space 2} .0054989{col 26}{space 2}    .0554{col 37}{space 1}    0.10{col 46}{space 3}0.921{col 54}{space 4}-.1037943{col 67}{space 3} .1147921
{txt}c_tfull_b_~d {c |}{col 14}{res}{space 2}   .09122{col 26}{space 2}  .032878{col 37}{space 1}    2.77{col 46}{space 3}0.006{col 54}{space 4} .0263583{col 67}{space 3} .1560817
{txt}c_tfull_ed~r {c |}{col 14}{res}{space 2} .0045883{col 26}{space 2} .0016172{col 37}{space 1}    2.84{col 46}{space 3}0.005{col 54}{space 4}  .001398{col 67}{space 3} .0077787
{txt}c_tfull_b_~x {c |}{col 14}{res}{space 2} .0275659{col 26}{space 2} .0086925{col 37}{space 1}    3.17{col 46}{space 3}0.002{col 54}{space 4} .0104174{col 67}{space 3} .0447144
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} .0035564{col 26}{space 2} .0191754{col 37}{space 1}    0.19{col 46}{space 3}0.853{col 54}{space 4}-.0342728{col 67}{space 3} .0413856
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull = .035{p_end}

{txt}       F(  1,   186) ={res}    1.10
{txt}{col 13}Prob > F ={res}    0.2955

{p 0 7}{space 1}{text:( 1)}{space 1} treatfull = -.035{p_end}

{txt}       F(  1,   186) ={res}    2.10
{txt}{col 13}Prob > F ={res}    0.1493
{txt}note: b_commtg_z_d omitted because of collinearity
{res}
{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}     7,288
{txt}{col 49}F({res}   8{txt},{res}    186{txt}){col 67}= {res}     11.69
{txt}{col 49}Prob > F{col 67}= {res}    0.0000
{txt}{col 49}R-squared{col 67}= {res}    0.0961
{txt}{col 49}Adj R-squared{col 67}= {res}    0.0933
{txt}{col 49}Root MSE{col 67}= {res}    0.5588

{txt}{ralign 78:(Std. Err. adjusted for {res:187} clusters in hc_id)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}  e_commtg_z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2} .0055923{col 26}{space 2} .0280309{col 37}{space 1}    0.20{col 46}{space 3}0.842{col 54}{space 4}-.0497072{col 67}{space 3} .0608917
{txt}{space 2}b_commtg_z {c |}{col 14}{res}{space 2} .0757774{col 26}{space 2} .0135575{col 37}{space 1}    5.59{col 46}{space 3}0.000{col 54}{space 4} .0490312{col 67}{space 3} .1025235
{txt}b_commtg_z_d {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 1}c_tfull_hc2 {c |}{col 14}{res}{space 2} .1239928{col 26}{space 2} .0320277{col 37}{space 1}    3.87{col 46}{space 3}0.000{col 54}{space 4} .0608085{col 67}{space 3} .1871772
{txt}c_tfull_b_~l {c |}{col 14}{res}{space 2} .0852744{col 26}{space 2} .0385592{col 37}{space 1}    2.21{col 46}{space 3}0.028{col 54}{space 4} .0092047{col 67}{space 3} .1613441
{txt}c_tfull_b_~s {c |}{col 14}{res}{space 2} .0054989{col 26}{space 2}    .0554{col 37}{space 1}    0.10{col 46}{space 3}0.921{col 54}{space 4}-.1037943{col 67}{space 3} .1147921
{txt}c_tfull_b_~d {c |}{col 14}{res}{space 2}   .09122{col 26}{space 2}  .032878{col 37}{space 1}    2.77{col 46}{space 3}0.006{col 54}{space 4} .0263583{col 67}{space 3} .1560817
{txt}c_tfull_ed~r {c |}{col 14}{res}{space 2} .0045883{col 26}{space 2} .0016172{col 37}{space 1}    2.84{col 46}{space 3}0.005{col 54}{space 4}  .001398{col 67}{space 3} .0077787
{txt}c_tfull_b_~x {c |}{col 14}{res}{space 2} .0275659{col 26}{space 2} .0086925{col 37}{space 1}    3.17{col 46}{space 3}0.002{col 54}{space 4} .0104174{col 67}{space 3} .0447144
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} .0035564{col 26}{space 2} .0191754{col 37}{space 1}    0.19{col 46}{space 3}0.853{col 54}{space 4}-.0342728{col 67}{space 3} .0413856
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull = .036{p_end}

{txt}       F(  1,   186) ={res}    1.18
{txt}{col 13}Prob > F ={res}    0.2794

{p 0 7}{space 1}{text:( 1)}{space 1} treatfull = -.036{p_end}

{txt}       F(  1,   186) ={res}    2.20
{txt}{col 13}Prob > F ={res}    0.1396
{txt}note: b_commtg_z_d omitted because of collinearity
{res}
{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}     7,288
{txt}{col 49}F({res}   8{txt},{res}    186{txt}){col 67}= {res}     11.69
{txt}{col 49}Prob > F{col 67}= {res}    0.0000
{txt}{col 49}R-squared{col 67}= {res}    0.0961
{txt}{col 49}Adj R-squared{col 67}= {res}    0.0933
{txt}{col 49}Root MSE{col 67}= {res}    0.5588

{txt}{ralign 78:(Std. Err. adjusted for {res:187} clusters in hc_id)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}  e_commtg_z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2} .0055923{col 26}{space 2} .0280309{col 37}{space 1}    0.20{col 46}{space 3}0.842{col 54}{space 4}-.0497072{col 67}{space 3} .0608917
{txt}{space 2}b_commtg_z {c |}{col 14}{res}{space 2} .0757774{col 26}{space 2} .0135575{col 37}{space 1}    5.59{col 46}{space 3}0.000{col 54}{space 4} .0490312{col 67}{space 3} .1025235
{txt}b_commtg_z_d {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 1}c_tfull_hc2 {c |}{col 14}{res}{space 2} .1239928{col 26}{space 2} .0320277{col 37}{space 1}    3.87{col 46}{space 3}0.000{col 54}{space 4} .0608085{col 67}{space 3} .1871772
{txt}c_tfull_b_~l {c |}{col 14}{res}{space 2} .0852744{col 26}{space 2} .0385592{col 37}{space 1}    2.21{col 46}{space 3}0.028{col 54}{space 4} .0092047{col 67}{space 3} .1613441
{txt}c_tfull_b_~s {c |}{col 14}{res}{space 2} .0054989{col 26}{space 2}    .0554{col 37}{space 1}    0.10{col 46}{space 3}0.921{col 54}{space 4}-.1037943{col 67}{space 3} .1147921
{txt}c_tfull_b_~d {c |}{col 14}{res}{space 2}   .09122{col 26}{space 2}  .032878{col 37}{space 1}    2.77{col 46}{space 3}0.006{col 54}{space 4} .0263583{col 67}{space 3} .1560817
{txt}c_tfull_ed~r {c |}{col 14}{res}{space 2} .0045883{col 26}{space 2} .0016172{col 37}{space 1}    2.84{col 46}{space 3}0.005{col 54}{space 4}  .001398{col 67}{space 3} .0077787
{txt}c_tfull_b_~x {c |}{col 14}{res}{space 2} .0275659{col 26}{space 2} .0086925{col 37}{space 1}    3.17{col 46}{space 3}0.002{col 54}{space 4} .0104174{col 67}{space 3} .0447144
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} .0035564{col 26}{space 2} .0191754{col 37}{space 1}    0.19{col 46}{space 3}0.853{col 54}{space 4}-.0342728{col 67}{space 3} .0413856
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull = .037{p_end}

{txt}       F(  1,   186) ={res}    1.26
{txt}{col 13}Prob > F ={res}    0.2640

{p 0 7}{space 1}{text:( 1)}{space 1} treatfull = -.037{p_end}

{txt}       F(  1,   186) ={res}    2.31
{txt}{col 13}Prob > F ={res}    0.1303
{txt}note: b_commtg_z_d omitted because of collinearity
{res}
{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}     7,288
{txt}{col 49}F({res}   8{txt},{res}    186{txt}){col 67}= {res}     11.69
{txt}{col 49}Prob > F{col 67}= {res}    0.0000
{txt}{col 49}R-squared{col 67}= {res}    0.0961
{txt}{col 49}Adj R-squared{col 67}= {res}    0.0933
{txt}{col 49}Root MSE{col 67}= {res}    0.5588

{txt}{ralign 78:(Std. Err. adjusted for {res:187} clusters in hc_id)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}  e_commtg_z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2} .0055923{col 26}{space 2} .0280309{col 37}{space 1}    0.20{col 46}{space 3}0.842{col 54}{space 4}-.0497072{col 67}{space 3} .0608917
{txt}{space 2}b_commtg_z {c |}{col 14}{res}{space 2} .0757774{col 26}{space 2} .0135575{col 37}{space 1}    5.59{col 46}{space 3}0.000{col 54}{space 4} .0490312{col 67}{space 3} .1025235
{txt}b_commtg_z_d {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 1}c_tfull_hc2 {c |}{col 14}{res}{space 2} .1239928{col 26}{space 2} .0320277{col 37}{space 1}    3.87{col 46}{space 3}0.000{col 54}{space 4} .0608085{col 67}{space 3} .1871772
{txt}c_tfull_b_~l {c |}{col 14}{res}{space 2} .0852744{col 26}{space 2} .0385592{col 37}{space 1}    2.21{col 46}{space 3}0.028{col 54}{space 4} .0092047{col 67}{space 3} .1613441
{txt}c_tfull_b_~s {c |}{col 14}{res}{space 2} .0054989{col 26}{space 2}    .0554{col 37}{space 1}    0.10{col 46}{space 3}0.921{col 54}{space 4}-.1037943{col 67}{space 3} .1147921
{txt}c_tfull_b_~d {c |}{col 14}{res}{space 2}   .09122{col 26}{space 2}  .032878{col 37}{space 1}    2.77{col 46}{space 3}0.006{col 54}{space 4} .0263583{col 67}{space 3} .1560817
{txt}c_tfull_ed~r {c |}{col 14}{res}{space 2} .0045883{col 26}{space 2} .0016172{col 37}{space 1}    2.84{col 46}{space 3}0.005{col 54}{space 4}  .001398{col 67}{space 3} .0077787
{txt}c_tfull_b_~x {c |}{col 14}{res}{space 2} .0275659{col 26}{space 2} .0086925{col 37}{space 1}    3.17{col 46}{space 3}0.002{col 54}{space 4} .0104174{col 67}{space 3} .0447144
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} .0035564{col 26}{space 2} .0191754{col 37}{space 1}    0.19{col 46}{space 3}0.853{col 54}{space 4}-.0342728{col 67}{space 3} .0413856
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull = .038{p_end}

{txt}       F(  1,   186) ={res}    1.34
{txt}{col 13}Prob > F ={res}    0.2491

{p 0 7}{space 1}{text:( 1)}{space 1} treatfull = -.038{p_end}

{txt}       F(  1,   186) ={res}    2.42
{txt}{col 13}Prob > F ={res}    0.1216
{txt}note: b_commtg_z_d omitted because of collinearity
{res}
{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}     7,288
{txt}{col 49}F({res}   8{txt},{res}    186{txt}){col 67}= {res}     11.69
{txt}{col 49}Prob > F{col 67}= {res}    0.0000
{txt}{col 49}R-squared{col 67}= {res}    0.0961
{txt}{col 49}Adj R-squared{col 67}= {res}    0.0933
{txt}{col 49}Root MSE{col 67}= {res}    0.5588

{txt}{ralign 78:(Std. Err. adjusted for {res:187} clusters in hc_id)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}  e_commtg_z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2} .0055923{col 26}{space 2} .0280309{col 37}{space 1}    0.20{col 46}{space 3}0.842{col 54}{space 4}-.0497072{col 67}{space 3} .0608917
{txt}{space 2}b_commtg_z {c |}{col 14}{res}{space 2} .0757774{col 26}{space 2} .0135575{col 37}{space 1}    5.59{col 46}{space 3}0.000{col 54}{space 4} .0490312{col 67}{space 3} .1025235
{txt}b_commtg_z_d {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 1}c_tfull_hc2 {c |}{col 14}{res}{space 2} .1239928{col 26}{space 2} .0320277{col 37}{space 1}    3.87{col 46}{space 3}0.000{col 54}{space 4} .0608085{col 67}{space 3} .1871772
{txt}c_tfull_b_~l {c |}{col 14}{res}{space 2} .0852744{col 26}{space 2} .0385592{col 37}{space 1}    2.21{col 46}{space 3}0.028{col 54}{space 4} .0092047{col 67}{space 3} .1613441
{txt}c_tfull_b_~s {c |}{col 14}{res}{space 2} .0054989{col 26}{space 2}    .0554{col 37}{space 1}    0.10{col 46}{space 3}0.921{col 54}{space 4}-.1037943{col 67}{space 3} .1147921
{txt}c_tfull_b_~d {c |}{col 14}{res}{space 2}   .09122{col 26}{space 2}  .032878{col 37}{space 1}    2.77{col 46}{space 3}0.006{col 54}{space 4} .0263583{col 67}{space 3} .1560817
{txt}c_tfull_ed~r {c |}{col 14}{res}{space 2} .0045883{col 26}{space 2} .0016172{col 37}{space 1}    2.84{col 46}{space 3}0.005{col 54}{space 4}  .001398{col 67}{space 3} .0077787
{txt}c_tfull_b_~x {c |}{col 14}{res}{space 2} .0275659{col 26}{space 2} .0086925{col 37}{space 1}    3.17{col 46}{space 3}0.002{col 54}{space 4} .0104174{col 67}{space 3} .0447144
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} .0035564{col 26}{space 2} .0191754{col 37}{space 1}    0.19{col 46}{space 3}0.853{col 54}{space 4}-.0342728{col 67}{space 3} .0413856
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull = .039{p_end}

{txt}       F(  1,   186) ={res}    1.42
{txt}{col 13}Prob > F ={res}    0.2349

{p 0 7}{space 1}{text:( 1)}{space 1} treatfull = -.039{p_end}

{txt}       F(  1,   186) ={res}    2.53
{txt}{col 13}Prob > F ={res}    0.1133
{txt}note: b_commtg_z_d omitted because of collinearity
{res}
{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}     7,288
{txt}{col 49}F({res}   8{txt},{res}    186{txt}){col 67}= {res}     11.69
{txt}{col 49}Prob > F{col 67}= {res}    0.0000
{txt}{col 49}R-squared{col 67}= {res}    0.0961
{txt}{col 49}Adj R-squared{col 67}= {res}    0.0933
{txt}{col 49}Root MSE{col 67}= {res}    0.5588

{txt}{ralign 78:(Std. Err. adjusted for {res:187} clusters in hc_id)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}  e_commtg_z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2} .0055923{col 26}{space 2} .0280309{col 37}{space 1}    0.20{col 46}{space 3}0.842{col 54}{space 4}-.0497072{col 67}{space 3} .0608917
{txt}{space 2}b_commtg_z {c |}{col 14}{res}{space 2} .0757774{col 26}{space 2} .0135575{col 37}{space 1}    5.59{col 46}{space 3}0.000{col 54}{space 4} .0490312{col 67}{space 3} .1025235
{txt}b_commtg_z_d {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 1}c_tfull_hc2 {c |}{col 14}{res}{space 2} .1239928{col 26}{space 2} .0320277{col 37}{space 1}    3.87{col 46}{space 3}0.000{col 54}{space 4} .0608085{col 67}{space 3} .1871772
{txt}c_tfull_b_~l {c |}{col 14}{res}{space 2} .0852744{col 26}{space 2} .0385592{col 37}{space 1}    2.21{col 46}{space 3}0.028{col 54}{space 4} .0092047{col 67}{space 3} .1613441
{txt}c_tfull_b_~s {c |}{col 14}{res}{space 2} .0054989{col 26}{space 2}    .0554{col 37}{space 1}    0.10{col 46}{space 3}0.921{col 54}{space 4}-.1037943{col 67}{space 3} .1147921
{txt}c_tfull_b_~d {c |}{col 14}{res}{space 2}   .09122{col 26}{space 2}  .032878{col 37}{space 1}    2.77{col 46}{space 3}0.006{col 54}{space 4} .0263583{col 67}{space 3} .1560817
{txt}c_tfull_ed~r {c |}{col 14}{res}{space 2} .0045883{col 26}{space 2} .0016172{col 37}{space 1}    2.84{col 46}{space 3}0.005{col 54}{space 4}  .001398{col 67}{space 3} .0077787
{txt}c_tfull_b_~x {c |}{col 14}{res}{space 2} .0275659{col 26}{space 2} .0086925{col 37}{space 1}    3.17{col 46}{space 3}0.002{col 54}{space 4} .0104174{col 67}{space 3} .0447144
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} .0035564{col 26}{space 2} .0191754{col 37}{space 1}    0.19{col 46}{space 3}0.853{col 54}{space 4}-.0342728{col 67}{space 3} .0413856
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull = .04{p_end}

{txt}       F(  1,   186) ={res}    1.51
{txt}{col 13}Prob > F ={res}    0.2212

{p 0 7}{space 1}{text:( 1)}{space 1} treatfull = -.04{p_end}

{txt}       F(  1,   186) ={res}    2.65
{txt}{col 13}Prob > F ={res}    0.1055
{txt}note: b_commtg_z_d omitted because of collinearity
{res}
{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}     7,288
{txt}{col 49}F({res}   8{txt},{res}    186{txt}){col 67}= {res}     11.69
{txt}{col 49}Prob > F{col 67}= {res}    0.0000
{txt}{col 49}R-squared{col 67}= {res}    0.0961
{txt}{col 49}Adj R-squared{col 67}= {res}    0.0933
{txt}{col 49}Root MSE{col 67}= {res}    0.5588

{txt}{ralign 78:(Std. Err. adjusted for {res:187} clusters in hc_id)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}  e_commtg_z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2} .0055923{col 26}{space 2} .0280309{col 37}{space 1}    0.20{col 46}{space 3}0.842{col 54}{space 4}-.0497072{col 67}{space 3} .0608917
{txt}{space 2}b_commtg_z {c |}{col 14}{res}{space 2} .0757774{col 26}{space 2} .0135575{col 37}{space 1}    5.59{col 46}{space 3}0.000{col 54}{space 4} .0490312{col 67}{space 3} .1025235
{txt}b_commtg_z_d {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 1}c_tfull_hc2 {c |}{col 14}{res}{space 2} .1239928{col 26}{space 2} .0320277{col 37}{space 1}    3.87{col 46}{space 3}0.000{col 54}{space 4} .0608085{col 67}{space 3} .1871772
{txt}c_tfull_b_~l {c |}{col 14}{res}{space 2} .0852744{col 26}{space 2} .0385592{col 37}{space 1}    2.21{col 46}{space 3}0.028{col 54}{space 4} .0092047{col 67}{space 3} .1613441
{txt}c_tfull_b_~s {c |}{col 14}{res}{space 2} .0054989{col 26}{space 2}    .0554{col 37}{space 1}    0.10{col 46}{space 3}0.921{col 54}{space 4}-.1037943{col 67}{space 3} .1147921
{txt}c_tfull_b_~d {c |}{col 14}{res}{space 2}   .09122{col 26}{space 2}  .032878{col 37}{space 1}    2.77{col 46}{space 3}0.006{col 54}{space 4} .0263583{col 67}{space 3} .1560817
{txt}c_tfull_ed~r {c |}{col 14}{res}{space 2} .0045883{col 26}{space 2} .0016172{col 37}{space 1}    2.84{col 46}{space 3}0.005{col 54}{space 4}  .001398{col 67}{space 3} .0077787
{txt}c_tfull_b_~x {c |}{col 14}{res}{space 2} .0275659{col 26}{space 2} .0086925{col 37}{space 1}    3.17{col 46}{space 3}0.002{col 54}{space 4} .0104174{col 67}{space 3} .0447144
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} .0035564{col 26}{space 2} .0191754{col 37}{space 1}    0.19{col 46}{space 3}0.853{col 54}{space 4}-.0342728{col 67}{space 3} .0413856
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull = .041{p_end}

{txt}       F(  1,   186) ={res}    1.60
{txt}{col 13}Prob > F ={res}    0.2081

{p 0 7}{space 1}{text:( 1)}{space 1} treatfull = -.041{p_end}

{txt}       F(  1,   186) ={res}    2.76
{txt}{col 13}Prob > F ={res}    0.0982
{txt}note: b_commtg_z_d omitted because of collinearity
{res}
{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}     7,288
{txt}{col 49}F({res}   8{txt},{res}    186{txt}){col 67}= {res}     11.69
{txt}{col 49}Prob > F{col 67}= {res}    0.0000
{txt}{col 49}R-squared{col 67}= {res}    0.0961
{txt}{col 49}Adj R-squared{col 67}= {res}    0.0933
{txt}{col 49}Root MSE{col 67}= {res}    0.5588

{txt}{ralign 78:(Std. Err. adjusted for {res:187} clusters in hc_id)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}  e_commtg_z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2} .0055923{col 26}{space 2} .0280309{col 37}{space 1}    0.20{col 46}{space 3}0.842{col 54}{space 4}-.0497072{col 67}{space 3} .0608917
{txt}{space 2}b_commtg_z {c |}{col 14}{res}{space 2} .0757774{col 26}{space 2} .0135575{col 37}{space 1}    5.59{col 46}{space 3}0.000{col 54}{space 4} .0490312{col 67}{space 3} .1025235
{txt}b_commtg_z_d {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 1}c_tfull_hc2 {c |}{col 14}{res}{space 2} .1239928{col 26}{space 2} .0320277{col 37}{space 1}    3.87{col 46}{space 3}0.000{col 54}{space 4} .0608085{col 67}{space 3} .1871772
{txt}c_tfull_b_~l {c |}{col 14}{res}{space 2} .0852744{col 26}{space 2} .0385592{col 37}{space 1}    2.21{col 46}{space 3}0.028{col 54}{space 4} .0092047{col 67}{space 3} .1613441
{txt}c_tfull_b_~s {c |}{col 14}{res}{space 2} .0054989{col 26}{space 2}    .0554{col 37}{space 1}    0.10{col 46}{space 3}0.921{col 54}{space 4}-.1037943{col 67}{space 3} .1147921
{txt}c_tfull_b_~d {c |}{col 14}{res}{space 2}   .09122{col 26}{space 2}  .032878{col 37}{space 1}    2.77{col 46}{space 3}0.006{col 54}{space 4} .0263583{col 67}{space 3} .1560817
{txt}c_tfull_ed~r {c |}{col 14}{res}{space 2} .0045883{col 26}{space 2} .0016172{col 37}{space 1}    2.84{col 46}{space 3}0.005{col 54}{space 4}  .001398{col 67}{space 3} .0077787
{txt}c_tfull_b_~x {c |}{col 14}{res}{space 2} .0275659{col 26}{space 2} .0086925{col 37}{space 1}    3.17{col 46}{space 3}0.002{col 54}{space 4} .0104174{col 67}{space 3} .0447144
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} .0035564{col 26}{space 2} .0191754{col 37}{space 1}    0.19{col 46}{space 3}0.853{col 54}{space 4}-.0342728{col 67}{space 3} .0413856
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull = .042{p_end}

{txt}       F(  1,   186) ={res}    1.69
{txt}{col 13}Prob > F ={res}    0.1956

{p 0 7}{space 1}{text:( 1)}{space 1} treatfull = -.042{p_end}

{txt}       F(  1,   186) ={res}    2.88
{txt}{col 13}Prob > F ={res}    0.0912
{txt}note: b_commtg_z_d omitted because of collinearity
{res}
{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}     7,288
{txt}{col 49}F({res}   8{txt},{res}    186{txt}){col 67}= {res}     11.69
{txt}{col 49}Prob > F{col 67}= {res}    0.0000
{txt}{col 49}R-squared{col 67}= {res}    0.0961
{txt}{col 49}Adj R-squared{col 67}= {res}    0.0933
{txt}{col 49}Root MSE{col 67}= {res}    0.5588

{txt}{ralign 78:(Std. Err. adjusted for {res:187} clusters in hc_id)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}  e_commtg_z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2} .0055923{col 26}{space 2} .0280309{col 37}{space 1}    0.20{col 46}{space 3}0.842{col 54}{space 4}-.0497072{col 67}{space 3} .0608917
{txt}{space 2}b_commtg_z {c |}{col 14}{res}{space 2} .0757774{col 26}{space 2} .0135575{col 37}{space 1}    5.59{col 46}{space 3}0.000{col 54}{space 4} .0490312{col 67}{space 3} .1025235
{txt}b_commtg_z_d {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 1}c_tfull_hc2 {c |}{col 14}{res}{space 2} .1239928{col 26}{space 2} .0320277{col 37}{space 1}    3.87{col 46}{space 3}0.000{col 54}{space 4} .0608085{col 67}{space 3} .1871772
{txt}c_tfull_b_~l {c |}{col 14}{res}{space 2} .0852744{col 26}{space 2} .0385592{col 37}{space 1}    2.21{col 46}{space 3}0.028{col 54}{space 4} .0092047{col 67}{space 3} .1613441
{txt}c_tfull_b_~s {c |}{col 14}{res}{space 2} .0054989{col 26}{space 2}    .0554{col 37}{space 1}    0.10{col 46}{space 3}0.921{col 54}{space 4}-.1037943{col 67}{space 3} .1147921
{txt}c_tfull_b_~d {c |}{col 14}{res}{space 2}   .09122{col 26}{space 2}  .032878{col 37}{space 1}    2.77{col 46}{space 3}0.006{col 54}{space 4} .0263583{col 67}{space 3} .1560817
{txt}c_tfull_ed~r {c |}{col 14}{res}{space 2} .0045883{col 26}{space 2} .0016172{col 37}{space 1}    2.84{col 46}{space 3}0.005{col 54}{space 4}  .001398{col 67}{space 3} .0077787
{txt}c_tfull_b_~x {c |}{col 14}{res}{space 2} .0275659{col 26}{space 2} .0086925{col 37}{space 1}    3.17{col 46}{space 3}0.002{col 54}{space 4} .0104174{col 67}{space 3} .0447144
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} .0035564{col 26}{space 2} .0191754{col 37}{space 1}    0.19{col 46}{space 3}0.853{col 54}{space 4}-.0342728{col 67}{space 3} .0413856
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull = .043{p_end}

{txt}       F(  1,   186) ={res}    1.78
{txt}{col 13}Prob > F ={res}    0.1837

{p 0 7}{space 1}{text:( 1)}{space 1} treatfull = -.043{p_end}

{txt}       F(  1,   186) ={res}    3.01
{txt}{col 13}Prob > F ={res}    0.0847
{txt}note: b_commtg_z_d omitted because of collinearity
{res}
{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}     7,288
{txt}{col 49}F({res}   8{txt},{res}    186{txt}){col 67}= {res}     11.69
{txt}{col 49}Prob > F{col 67}= {res}    0.0000
{txt}{col 49}R-squared{col 67}= {res}    0.0961
{txt}{col 49}Adj R-squared{col 67}= {res}    0.0933
{txt}{col 49}Root MSE{col 67}= {res}    0.5588

{txt}{ralign 78:(Std. Err. adjusted for {res:187} clusters in hc_id)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}  e_commtg_z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2} .0055923{col 26}{space 2} .0280309{col 37}{space 1}    0.20{col 46}{space 3}0.842{col 54}{space 4}-.0497072{col 67}{space 3} .0608917
{txt}{space 2}b_commtg_z {c |}{col 14}{res}{space 2} .0757774{col 26}{space 2} .0135575{col 37}{space 1}    5.59{col 46}{space 3}0.000{col 54}{space 4} .0490312{col 67}{space 3} .1025235
{txt}b_commtg_z_d {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 1}c_tfull_hc2 {c |}{col 14}{res}{space 2} .1239928{col 26}{space 2} .0320277{col 37}{space 1}    3.87{col 46}{space 3}0.000{col 54}{space 4} .0608085{col 67}{space 3} .1871772
{txt}c_tfull_b_~l {c |}{col 14}{res}{space 2} .0852744{col 26}{space 2} .0385592{col 37}{space 1}    2.21{col 46}{space 3}0.028{col 54}{space 4} .0092047{col 67}{space 3} .1613441
{txt}c_tfull_b_~s {c |}{col 14}{res}{space 2} .0054989{col 26}{space 2}    .0554{col 37}{space 1}    0.10{col 46}{space 3}0.921{col 54}{space 4}-.1037943{col 67}{space 3} .1147921
{txt}c_tfull_b_~d {c |}{col 14}{res}{space 2}   .09122{col 26}{space 2}  .032878{col 37}{space 1}    2.77{col 46}{space 3}0.006{col 54}{space 4} .0263583{col 67}{space 3} .1560817
{txt}c_tfull_ed~r {c |}{col 14}{res}{space 2} .0045883{col 26}{space 2} .0016172{col 37}{space 1}    2.84{col 46}{space 3}0.005{col 54}{space 4}  .001398{col 67}{space 3} .0077787
{txt}c_tfull_b_~x {c |}{col 14}{res}{space 2} .0275659{col 26}{space 2} .0086925{col 37}{space 1}    3.17{col 46}{space 3}0.002{col 54}{space 4} .0104174{col 67}{space 3} .0447144
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} .0035564{col 26}{space 2} .0191754{col 37}{space 1}    0.19{col 46}{space 3}0.853{col 54}{space 4}-.0342728{col 67}{space 3} .0413856
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull = .044{p_end}

{txt}       F(  1,   186) ={res}    1.88
{txt}{col 13}Prob > F ={res}    0.1723

{p 0 7}{space 1}{text:( 1)}{space 1} treatfull = -.044{p_end}

{txt}       F(  1,   186) ={res}    3.13
{txt}{col 13}Prob > F ={res}    0.0785
{txt}note: b_commtg_z_d omitted because of collinearity
{res}
{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}     7,288
{txt}{col 49}F({res}   8{txt},{res}    186{txt}){col 67}= {res}     11.69
{txt}{col 49}Prob > F{col 67}= {res}    0.0000
{txt}{col 49}R-squared{col 67}= {res}    0.0961
{txt}{col 49}Adj R-squared{col 67}= {res}    0.0933
{txt}{col 49}Root MSE{col 67}= {res}    0.5588

{txt}{ralign 78:(Std. Err. adjusted for {res:187} clusters in hc_id)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}  e_commtg_z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2} .0055923{col 26}{space 2} .0280309{col 37}{space 1}    0.20{col 46}{space 3}0.842{col 54}{space 4}-.0497072{col 67}{space 3} .0608917
{txt}{space 2}b_commtg_z {c |}{col 14}{res}{space 2} .0757774{col 26}{space 2} .0135575{col 37}{space 1}    5.59{col 46}{space 3}0.000{col 54}{space 4} .0490312{col 67}{space 3} .1025235
{txt}b_commtg_z_d {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 1}c_tfull_hc2 {c |}{col 14}{res}{space 2} .1239928{col 26}{space 2} .0320277{col 37}{space 1}    3.87{col 46}{space 3}0.000{col 54}{space 4} .0608085{col 67}{space 3} .1871772
{txt}c_tfull_b_~l {c |}{col 14}{res}{space 2} .0852744{col 26}{space 2} .0385592{col 37}{space 1}    2.21{col 46}{space 3}0.028{col 54}{space 4} .0092047{col 67}{space 3} .1613441
{txt}c_tfull_b_~s {c |}{col 14}{res}{space 2} .0054989{col 26}{space 2}    .0554{col 37}{space 1}    0.10{col 46}{space 3}0.921{col 54}{space 4}-.1037943{col 67}{space 3} .1147921
{txt}c_tfull_b_~d {c |}{col 14}{res}{space 2}   .09122{col 26}{space 2}  .032878{col 37}{space 1}    2.77{col 46}{space 3}0.006{col 54}{space 4} .0263583{col 67}{space 3} .1560817
{txt}c_tfull_ed~r {c |}{col 14}{res}{space 2} .0045883{col 26}{space 2} .0016172{col 37}{space 1}    2.84{col 46}{space 3}0.005{col 54}{space 4}  .001398{col 67}{space 3} .0077787
{txt}c_tfull_b_~x {c |}{col 14}{res}{space 2} .0275659{col 26}{space 2} .0086925{col 37}{space 1}    3.17{col 46}{space 3}0.002{col 54}{space 4} .0104174{col 67}{space 3} .0447144
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} .0035564{col 26}{space 2} .0191754{col 37}{space 1}    0.19{col 46}{space 3}0.853{col 54}{space 4}-.0342728{col 67}{space 3} .0413856
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull = .045{p_end}

{txt}       F(  1,   186) ={res}    1.98
{txt}{col 13}Prob > F ={res}    0.1614

{p 0 7}{space 1}{text:( 1)}{space 1} treatfull = -.045{p_end}

{txt}       F(  1,   186) ={res}    3.26
{txt}{col 13}Prob > F ={res}    0.0727
{txt}note: b_commtg_z_d omitted because of collinearity
{res}
{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}     7,288
{txt}{col 49}F({res}   8{txt},{res}    186{txt}){col 67}= {res}     11.69
{txt}{col 49}Prob > F{col 67}= {res}    0.0000
{txt}{col 49}R-squared{col 67}= {res}    0.0961
{txt}{col 49}Adj R-squared{col 67}= {res}    0.0933
{txt}{col 49}Root MSE{col 67}= {res}    0.5588

{txt}{ralign 78:(Std. Err. adjusted for {res:187} clusters in hc_id)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}  e_commtg_z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2} .0055923{col 26}{space 2} .0280309{col 37}{space 1}    0.20{col 46}{space 3}0.842{col 54}{space 4}-.0497072{col 67}{space 3} .0608917
{txt}{space 2}b_commtg_z {c |}{col 14}{res}{space 2} .0757774{col 26}{space 2} .0135575{col 37}{space 1}    5.59{col 46}{space 3}0.000{col 54}{space 4} .0490312{col 67}{space 3} .1025235
{txt}b_commtg_z_d {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 1}c_tfull_hc2 {c |}{col 14}{res}{space 2} .1239928{col 26}{space 2} .0320277{col 37}{space 1}    3.87{col 46}{space 3}0.000{col 54}{space 4} .0608085{col 67}{space 3} .1871772
{txt}c_tfull_b_~l {c |}{col 14}{res}{space 2} .0852744{col 26}{space 2} .0385592{col 37}{space 1}    2.21{col 46}{space 3}0.028{col 54}{space 4} .0092047{col 67}{space 3} .1613441
{txt}c_tfull_b_~s {c |}{col 14}{res}{space 2} .0054989{col 26}{space 2}    .0554{col 37}{space 1}    0.10{col 46}{space 3}0.921{col 54}{space 4}-.1037943{col 67}{space 3} .1147921
{txt}c_tfull_b_~d {c |}{col 14}{res}{space 2}   .09122{col 26}{space 2}  .032878{col 37}{space 1}    2.77{col 46}{space 3}0.006{col 54}{space 4} .0263583{col 67}{space 3} .1560817
{txt}c_tfull_ed~r {c |}{col 14}{res}{space 2} .0045883{col 26}{space 2} .0016172{col 37}{space 1}    2.84{col 46}{space 3}0.005{col 54}{space 4}  .001398{col 67}{space 3} .0077787
{txt}c_tfull_b_~x {c |}{col 14}{res}{space 2} .0275659{col 26}{space 2} .0086925{col 37}{space 1}    3.17{col 46}{space 3}0.002{col 54}{space 4} .0104174{col 67}{space 3} .0447144
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} .0035564{col 26}{space 2} .0191754{col 37}{space 1}    0.19{col 46}{space 3}0.853{col 54}{space 4}-.0342728{col 67}{space 3} .0413856
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull = .046{p_end}

{txt}       F(  1,   186) ={res}    2.08
{txt}{col 13}Prob > F ={res}    0.1511

{p 0 7}{space 1}{text:( 1)}{space 1} treatfull = -.046{p_end}

{txt}       F(  1,   186) ={res}    3.39
{txt}{col 13}Prob > F ={res}    0.0673
{txt}note: b_commtg_z_d omitted because of collinearity
{res}
{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}     7,288
{txt}{col 49}F({res}   8{txt},{res}    186{txt}){col 67}= {res}     11.69
{txt}{col 49}Prob > F{col 67}= {res}    0.0000
{txt}{col 49}R-squared{col 67}= {res}    0.0961
{txt}{col 49}Adj R-squared{col 67}= {res}    0.0933
{txt}{col 49}Root MSE{col 67}= {res}    0.5588

{txt}{ralign 78:(Std. Err. adjusted for {res:187} clusters in hc_id)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}  e_commtg_z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2} .0055923{col 26}{space 2} .0280309{col 37}{space 1}    0.20{col 46}{space 3}0.842{col 54}{space 4}-.0497072{col 67}{space 3} .0608917
{txt}{space 2}b_commtg_z {c |}{col 14}{res}{space 2} .0757774{col 26}{space 2} .0135575{col 37}{space 1}    5.59{col 46}{space 3}0.000{col 54}{space 4} .0490312{col 67}{space 3} .1025235
{txt}b_commtg_z_d {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 1}c_tfull_hc2 {c |}{col 14}{res}{space 2} .1239928{col 26}{space 2} .0320277{col 37}{space 1}    3.87{col 46}{space 3}0.000{col 54}{space 4} .0608085{col 67}{space 3} .1871772
{txt}c_tfull_b_~l {c |}{col 14}{res}{space 2} .0852744{col 26}{space 2} .0385592{col 37}{space 1}    2.21{col 46}{space 3}0.028{col 54}{space 4} .0092047{col 67}{space 3} .1613441
{txt}c_tfull_b_~s {c |}{col 14}{res}{space 2} .0054989{col 26}{space 2}    .0554{col 37}{space 1}    0.10{col 46}{space 3}0.921{col 54}{space 4}-.1037943{col 67}{space 3} .1147921
{txt}c_tfull_b_~d {c |}{col 14}{res}{space 2}   .09122{col 26}{space 2}  .032878{col 37}{space 1}    2.77{col 46}{space 3}0.006{col 54}{space 4} .0263583{col 67}{space 3} .1560817
{txt}c_tfull_ed~r {c |}{col 14}{res}{space 2} .0045883{col 26}{space 2} .0016172{col 37}{space 1}    2.84{col 46}{space 3}0.005{col 54}{space 4}  .001398{col 67}{space 3} .0077787
{txt}c_tfull_b_~x {c |}{col 14}{res}{space 2} .0275659{col 26}{space 2} .0086925{col 37}{space 1}    3.17{col 46}{space 3}0.002{col 54}{space 4} .0104174{col 67}{space 3} .0447144
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} .0035564{col 26}{space 2} .0191754{col 37}{space 1}    0.19{col 46}{space 3}0.853{col 54}{space 4}-.0342728{col 67}{space 3} .0413856
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull = .047{p_end}

{txt}       F(  1,   186) ={res}    2.18
{txt}{col 13}Prob > F ={res}    0.1413

{p 0 7}{space 1}{text:( 1)}{space 1} treatfull = -.047{p_end}

{txt}       F(  1,   186) ={res}    3.52
{txt}{col 13}Prob > F ={res}    0.0622
{txt}note: b_commtg_z_d omitted because of collinearity
{res}
{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}     7,288
{txt}{col 49}F({res}   8{txt},{res}    186{txt}){col 67}= {res}     11.69
{txt}{col 49}Prob > F{col 67}= {res}    0.0000
{txt}{col 49}R-squared{col 67}= {res}    0.0961
{txt}{col 49}Adj R-squared{col 67}= {res}    0.0933
{txt}{col 49}Root MSE{col 67}= {res}    0.5588

{txt}{ralign 78:(Std. Err. adjusted for {res:187} clusters in hc_id)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}  e_commtg_z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2} .0055923{col 26}{space 2} .0280309{col 37}{space 1}    0.20{col 46}{space 3}0.842{col 54}{space 4}-.0497072{col 67}{space 3} .0608917
{txt}{space 2}b_commtg_z {c |}{col 14}{res}{space 2} .0757774{col 26}{space 2} .0135575{col 37}{space 1}    5.59{col 46}{space 3}0.000{col 54}{space 4} .0490312{col 67}{space 3} .1025235
{txt}b_commtg_z_d {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 1}c_tfull_hc2 {c |}{col 14}{res}{space 2} .1239928{col 26}{space 2} .0320277{col 37}{space 1}    3.87{col 46}{space 3}0.000{col 54}{space 4} .0608085{col 67}{space 3} .1871772
{txt}c_tfull_b_~l {c |}{col 14}{res}{space 2} .0852744{col 26}{space 2} .0385592{col 37}{space 1}    2.21{col 46}{space 3}0.028{col 54}{space 4} .0092047{col 67}{space 3} .1613441
{txt}c_tfull_b_~s {c |}{col 14}{res}{space 2} .0054989{col 26}{space 2}    .0554{col 37}{space 1}    0.10{col 46}{space 3}0.921{col 54}{space 4}-.1037943{col 67}{space 3} .1147921
{txt}c_tfull_b_~d {c |}{col 14}{res}{space 2}   .09122{col 26}{space 2}  .032878{col 37}{space 1}    2.77{col 46}{space 3}0.006{col 54}{space 4} .0263583{col 67}{space 3} .1560817
{txt}c_tfull_ed~r {c |}{col 14}{res}{space 2} .0045883{col 26}{space 2} .0016172{col 37}{space 1}    2.84{col 46}{space 3}0.005{col 54}{space 4}  .001398{col 67}{space 3} .0077787
{txt}c_tfull_b_~x {c |}{col 14}{res}{space 2} .0275659{col 26}{space 2} .0086925{col 37}{space 1}    3.17{col 46}{space 3}0.002{col 54}{space 4} .0104174{col 67}{space 3} .0447144
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} .0035564{col 26}{space 2} .0191754{col 37}{space 1}    0.19{col 46}{space 3}0.853{col 54}{space 4}-.0342728{col 67}{space 3} .0413856
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull = .048{p_end}

{txt}       F(  1,   186) ={res}    2.29
{txt}{col 13}Prob > F ={res}    0.1320

{p 0 7}{space 1}{text:( 1)}{space 1} treatfull = -.048{p_end}

{txt}       F(  1,   186) ={res}    3.66
{txt}{col 13}Prob > F ={res}    0.0574
{txt}note: b_commtg_z_d omitted because of collinearity
{res}
{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}     7,288
{txt}{col 49}F({res}   8{txt},{res}    186{txt}){col 67}= {res}     11.69
{txt}{col 49}Prob > F{col 67}= {res}    0.0000
{txt}{col 49}R-squared{col 67}= {res}    0.0961
{txt}{col 49}Adj R-squared{col 67}= {res}    0.0933
{txt}{col 49}Root MSE{col 67}= {res}    0.5588

{txt}{ralign 78:(Std. Err. adjusted for {res:187} clusters in hc_id)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}  e_commtg_z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2} .0055923{col 26}{space 2} .0280309{col 37}{space 1}    0.20{col 46}{space 3}0.842{col 54}{space 4}-.0497072{col 67}{space 3} .0608917
{txt}{space 2}b_commtg_z {c |}{col 14}{res}{space 2} .0757774{col 26}{space 2} .0135575{col 37}{space 1}    5.59{col 46}{space 3}0.000{col 54}{space 4} .0490312{col 67}{space 3} .1025235
{txt}b_commtg_z_d {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 1}c_tfull_hc2 {c |}{col 14}{res}{space 2} .1239928{col 26}{space 2} .0320277{col 37}{space 1}    3.87{col 46}{space 3}0.000{col 54}{space 4} .0608085{col 67}{space 3} .1871772
{txt}c_tfull_b_~l {c |}{col 14}{res}{space 2} .0852744{col 26}{space 2} .0385592{col 37}{space 1}    2.21{col 46}{space 3}0.028{col 54}{space 4} .0092047{col 67}{space 3} .1613441
{txt}c_tfull_b_~s {c |}{col 14}{res}{space 2} .0054989{col 26}{space 2}    .0554{col 37}{space 1}    0.10{col 46}{space 3}0.921{col 54}{space 4}-.1037943{col 67}{space 3} .1147921
{txt}c_tfull_b_~d {c |}{col 14}{res}{space 2}   .09122{col 26}{space 2}  .032878{col 37}{space 1}    2.77{col 46}{space 3}0.006{col 54}{space 4} .0263583{col 67}{space 3} .1560817
{txt}c_tfull_ed~r {c |}{col 14}{res}{space 2} .0045883{col 26}{space 2} .0016172{col 37}{space 1}    2.84{col 46}{space 3}0.005{col 54}{space 4}  .001398{col 67}{space 3} .0077787
{txt}c_tfull_b_~x {c |}{col 14}{res}{space 2} .0275659{col 26}{space 2} .0086925{col 37}{space 1}    3.17{col 46}{space 3}0.002{col 54}{space 4} .0104174{col 67}{space 3} .0447144
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} .0035564{col 26}{space 2} .0191754{col 37}{space 1}    0.19{col 46}{space 3}0.853{col 54}{space 4}-.0342728{col 67}{space 3} .0413856
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull = .049{p_end}

{txt}       F(  1,   186) ={res}    2.40
{txt}{col 13}Prob > F ={res}    0.1232

{p 0 7}{space 1}{text:( 1)}{space 1} treatfull = -.049{p_end}

{txt}       F(  1,   186) ={res}    3.79
{txt}{col 13}Prob > F ={res}    0.0530
{txt}note: b_commtg_z_d omitted because of collinearity
{res}
{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}     7,288
{txt}{col 49}F({res}   8{txt},{res}    186{txt}){col 67}= {res}     11.69
{txt}{col 49}Prob > F{col 67}= {res}    0.0000
{txt}{col 49}R-squared{col 67}= {res}    0.0961
{txt}{col 49}Adj R-squared{col 67}= {res}    0.0933
{txt}{col 49}Root MSE{col 67}= {res}    0.5588

{txt}{ralign 78:(Std. Err. adjusted for {res:187} clusters in hc_id)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}  e_commtg_z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2} .0055923{col 26}{space 2} .0280309{col 37}{space 1}    0.20{col 46}{space 3}0.842{col 54}{space 4}-.0497072{col 67}{space 3} .0608917
{txt}{space 2}b_commtg_z {c |}{col 14}{res}{space 2} .0757774{col 26}{space 2} .0135575{col 37}{space 1}    5.59{col 46}{space 3}0.000{col 54}{space 4} .0490312{col 67}{space 3} .1025235
{txt}b_commtg_z_d {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 1}c_tfull_hc2 {c |}{col 14}{res}{space 2} .1239928{col 26}{space 2} .0320277{col 37}{space 1}    3.87{col 46}{space 3}0.000{col 54}{space 4} .0608085{col 67}{space 3} .1871772
{txt}c_tfull_b_~l {c |}{col 14}{res}{space 2} .0852744{col 26}{space 2} .0385592{col 37}{space 1}    2.21{col 46}{space 3}0.028{col 54}{space 4} .0092047{col 67}{space 3} .1613441
{txt}c_tfull_b_~s {c |}{col 14}{res}{space 2} .0054989{col 26}{space 2}    .0554{col 37}{space 1}    0.10{col 46}{space 3}0.921{col 54}{space 4}-.1037943{col 67}{space 3} .1147921
{txt}c_tfull_b_~d {c |}{col 14}{res}{space 2}   .09122{col 26}{space 2}  .032878{col 37}{space 1}    2.77{col 46}{space 3}0.006{col 54}{space 4} .0263583{col 67}{space 3} .1560817
{txt}c_tfull_ed~r {c |}{col 14}{res}{space 2} .0045883{col 26}{space 2} .0016172{col 37}{space 1}    2.84{col 46}{space 3}0.005{col 54}{space 4}  .001398{col 67}{space 3} .0077787
{txt}c_tfull_b_~x {c |}{col 14}{res}{space 2} .0275659{col 26}{space 2} .0086925{col 37}{space 1}    3.17{col 46}{space 3}0.002{col 54}{space 4} .0104174{col 67}{space 3} .0447144
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} .0035564{col 26}{space 2} .0191754{col 37}{space 1}    0.19{col 46}{space 3}0.853{col 54}{space 4}-.0342728{col 67}{space 3} .0413856
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull = .05{p_end}

{txt}       F(  1,   186) ={res}    2.51
{txt}{col 13}Prob > F ={res}    0.1148

{p 0 7}{space 1}{text:( 1)}{space 1} treatfull = -.05{p_end}

{txt}       F(  1,   186) ={res}    3.93
{txt}{col 13}Prob > F ={res}    0.0488
{txt}note: b_commtg_z_d omitted because of collinearity
{res}
{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}     7,288
{txt}{col 49}F({res}   8{txt},{res}    186{txt}){col 67}= {res}     11.69
{txt}{col 49}Prob > F{col 67}= {res}    0.0000
{txt}{col 49}R-squared{col 67}= {res}    0.0961
{txt}{col 49}Adj R-squared{col 67}= {res}    0.0933
{txt}{col 49}Root MSE{col 67}= {res}    0.5588

{txt}{ralign 78:(Std. Err. adjusted for {res:187} clusters in hc_id)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}  e_commtg_z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2} .0055923{col 26}{space 2} .0280309{col 37}{space 1}    0.20{col 46}{space 3}0.842{col 54}{space 4}-.0497072{col 67}{space 3} .0608917
{txt}{space 2}b_commtg_z {c |}{col 14}{res}{space 2} .0757774{col 26}{space 2} .0135575{col 37}{space 1}    5.59{col 46}{space 3}0.000{col 54}{space 4} .0490312{col 67}{space 3} .1025235
{txt}b_commtg_z_d {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 1}c_tfull_hc2 {c |}{col 14}{res}{space 2} .1239928{col 26}{space 2} .0320277{col 37}{space 1}    3.87{col 46}{space 3}0.000{col 54}{space 4} .0608085{col 67}{space 3} .1871772
{txt}c_tfull_b_~l {c |}{col 14}{res}{space 2} .0852744{col 26}{space 2} .0385592{col 37}{space 1}    2.21{col 46}{space 3}0.028{col 54}{space 4} .0092047{col 67}{space 3} .1613441
{txt}c_tfull_b_~s {c |}{col 14}{res}{space 2} .0054989{col 26}{space 2}    .0554{col 37}{space 1}    0.10{col 46}{space 3}0.921{col 54}{space 4}-.1037943{col 67}{space 3} .1147921
{txt}c_tfull_b_~d {c |}{col 14}{res}{space 2}   .09122{col 26}{space 2}  .032878{col 37}{space 1}    2.77{col 46}{space 3}0.006{col 54}{space 4} .0263583{col 67}{space 3} .1560817
{txt}c_tfull_ed~r {c |}{col 14}{res}{space 2} .0045883{col 26}{space 2} .0016172{col 37}{space 1}    2.84{col 46}{space 3}0.005{col 54}{space 4}  .001398{col 67}{space 3} .0077787
{txt}c_tfull_b_~x {c |}{col 14}{res}{space 2} .0275659{col 26}{space 2} .0086925{col 37}{space 1}    3.17{col 46}{space 3}0.002{col 54}{space 4} .0104174{col 67}{space 3} .0447144
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} .0035564{col 26}{space 2} .0191754{col 37}{space 1}    0.19{col 46}{space 3}0.853{col 54}{space 4}-.0342728{col 67}{space 3} .0413856
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull = .051{p_end}

{txt}       F(  1,   186) ={res}    2.62
{txt}{col 13}Prob > F ={res}    0.1069

{p 0 7}{space 1}{text:( 1)}{space 1} treatfull = -.051{p_end}

{txt}       F(  1,   186) ={res}    4.08
{txt}{col 13}Prob > F ={res}    0.0449
{txt}note: b_commtg_z_d omitted because of collinearity
{res}
{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}     7,288
{txt}{col 49}F({res}   8{txt},{res}    186{txt}){col 67}= {res}     11.69
{txt}{col 49}Prob > F{col 67}= {res}    0.0000
{txt}{col 49}R-squared{col 67}= {res}    0.0961
{txt}{col 49}Adj R-squared{col 67}= {res}    0.0933
{txt}{col 49}Root MSE{col 67}= {res}    0.5588

{txt}{ralign 78:(Std. Err. adjusted for {res:187} clusters in hc_id)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}  e_commtg_z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2} .0055923{col 26}{space 2} .0280309{col 37}{space 1}    0.20{col 46}{space 3}0.842{col 54}{space 4}-.0497072{col 67}{space 3} .0608917
{txt}{space 2}b_commtg_z {c |}{col 14}{res}{space 2} .0757774{col 26}{space 2} .0135575{col 37}{space 1}    5.59{col 46}{space 3}0.000{col 54}{space 4} .0490312{col 67}{space 3} .1025235
{txt}b_commtg_z_d {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 1}c_tfull_hc2 {c |}{col 14}{res}{space 2} .1239928{col 26}{space 2} .0320277{col 37}{space 1}    3.87{col 46}{space 3}0.000{col 54}{space 4} .0608085{col 67}{space 3} .1871772
{txt}c_tfull_b_~l {c |}{col 14}{res}{space 2} .0852744{col 26}{space 2} .0385592{col 37}{space 1}    2.21{col 46}{space 3}0.028{col 54}{space 4} .0092047{col 67}{space 3} .1613441
{txt}c_tfull_b_~s {c |}{col 14}{res}{space 2} .0054989{col 26}{space 2}    .0554{col 37}{space 1}    0.10{col 46}{space 3}0.921{col 54}{space 4}-.1037943{col 67}{space 3} .1147921
{txt}c_tfull_b_~d {c |}{col 14}{res}{space 2}   .09122{col 26}{space 2}  .032878{col 37}{space 1}    2.77{col 46}{space 3}0.006{col 54}{space 4} .0263583{col 67}{space 3} .1560817
{txt}c_tfull_ed~r {c |}{col 14}{res}{space 2} .0045883{col 26}{space 2} .0016172{col 37}{space 1}    2.84{col 46}{space 3}0.005{col 54}{space 4}  .001398{col 67}{space 3} .0077787
{txt}c_tfull_b_~x {c |}{col 14}{res}{space 2} .0275659{col 26}{space 2} .0086925{col 37}{space 1}    3.17{col 46}{space 3}0.002{col 54}{space 4} .0104174{col 67}{space 3} .0447144
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} .0035564{col 26}{space 2} .0191754{col 37}{space 1}    0.19{col 46}{space 3}0.853{col 54}{space 4}-.0342728{col 67}{space 3} .0413856
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull = .052{p_end}

{txt}       F(  1,   186) ={res}    2.74
{txt}{col 13}Prob > F ={res}    0.0995

{p 0 7}{space 1}{text:( 1)}{space 1} treatfull = -.052{p_end}

{txt}       F(  1,   186) ={res}    4.22
{txt}{col 13}Prob > F ={res}    0.0413
{txt}note: b_commtg_z_d omitted because of collinearity
{res}
{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}     7,288
{txt}{col 49}F({res}   8{txt},{res}    186{txt}){col 67}= {res}     11.69
{txt}{col 49}Prob > F{col 67}= {res}    0.0000
{txt}{col 49}R-squared{col 67}= {res}    0.0961
{txt}{col 49}Adj R-squared{col 67}= {res}    0.0933
{txt}{col 49}Root MSE{col 67}= {res}    0.5588

{txt}{ralign 78:(Std. Err. adjusted for {res:187} clusters in hc_id)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}  e_commtg_z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2} .0055923{col 26}{space 2} .0280309{col 37}{space 1}    0.20{col 46}{space 3}0.842{col 54}{space 4}-.0497072{col 67}{space 3} .0608917
{txt}{space 2}b_commtg_z {c |}{col 14}{res}{space 2} .0757774{col 26}{space 2} .0135575{col 37}{space 1}    5.59{col 46}{space 3}0.000{col 54}{space 4} .0490312{col 67}{space 3} .1025235
{txt}b_commtg_z_d {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 1}c_tfull_hc2 {c |}{col 14}{res}{space 2} .1239928{col 26}{space 2} .0320277{col 37}{space 1}    3.87{col 46}{space 3}0.000{col 54}{space 4} .0608085{col 67}{space 3} .1871772
{txt}c_tfull_b_~l {c |}{col 14}{res}{space 2} .0852744{col 26}{space 2} .0385592{col 37}{space 1}    2.21{col 46}{space 3}0.028{col 54}{space 4} .0092047{col 67}{space 3} .1613441
{txt}c_tfull_b_~s {c |}{col 14}{res}{space 2} .0054989{col 26}{space 2}    .0554{col 37}{space 1}    0.10{col 46}{space 3}0.921{col 54}{space 4}-.1037943{col 67}{space 3} .1147921
{txt}c_tfull_b_~d {c |}{col 14}{res}{space 2}   .09122{col 26}{space 2}  .032878{col 37}{space 1}    2.77{col 46}{space 3}0.006{col 54}{space 4} .0263583{col 67}{space 3} .1560817
{txt}c_tfull_ed~r {c |}{col 14}{res}{space 2} .0045883{col 26}{space 2} .0016172{col 37}{space 1}    2.84{col 46}{space 3}0.005{col 54}{space 4}  .001398{col 67}{space 3} .0077787
{txt}c_tfull_b_~x {c |}{col 14}{res}{space 2} .0275659{col 26}{space 2} .0086925{col 37}{space 1}    3.17{col 46}{space 3}0.002{col 54}{space 4} .0104174{col 67}{space 3} .0447144
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} .0035564{col 26}{space 2} .0191754{col 37}{space 1}    0.19{col 46}{space 3}0.853{col 54}{space 4}-.0342728{col 67}{space 3} .0413856
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull = .053{p_end}

{txt}       F(  1,   186) ={res}    2.86
{txt}{col 13}Prob > F ={res}    0.0925

{p 0 7}{space 1}{text:( 1)}{space 1} treatfull = -.053{p_end}

{txt}       F(  1,   186) ={res}    4.37
{txt}{col 13}Prob > F ={res}    0.0380
{txt}note: b_commtg_z_d omitted because of collinearity
{res}
{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}     7,288
{txt}{col 49}F({res}   8{txt},{res}    186{txt}){col 67}= {res}     11.69
{txt}{col 49}Prob > F{col 67}= {res}    0.0000
{txt}{col 49}R-squared{col 67}= {res}    0.0961
{txt}{col 49}Adj R-squared{col 67}= {res}    0.0933
{txt}{col 49}Root MSE{col 67}= {res}    0.5588

{txt}{ralign 78:(Std. Err. adjusted for {res:187} clusters in hc_id)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}  e_commtg_z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2} .0055923{col 26}{space 2} .0280309{col 37}{space 1}    0.20{col 46}{space 3}0.842{col 54}{space 4}-.0497072{col 67}{space 3} .0608917
{txt}{space 2}b_commtg_z {c |}{col 14}{res}{space 2} .0757774{col 26}{space 2} .0135575{col 37}{space 1}    5.59{col 46}{space 3}0.000{col 54}{space 4} .0490312{col 67}{space 3} .1025235
{txt}b_commtg_z_d {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 1}c_tfull_hc2 {c |}{col 14}{res}{space 2} .1239928{col 26}{space 2} .0320277{col 37}{space 1}    3.87{col 46}{space 3}0.000{col 54}{space 4} .0608085{col 67}{space 3} .1871772
{txt}c_tfull_b_~l {c |}{col 14}{res}{space 2} .0852744{col 26}{space 2} .0385592{col 37}{space 1}    2.21{col 46}{space 3}0.028{col 54}{space 4} .0092047{col 67}{space 3} .1613441
{txt}c_tfull_b_~s {c |}{col 14}{res}{space 2} .0054989{col 26}{space 2}    .0554{col 37}{space 1}    0.10{col 46}{space 3}0.921{col 54}{space 4}-.1037943{col 67}{space 3} .1147921
{txt}c_tfull_b_~d {c |}{col 14}{res}{space 2}   .09122{col 26}{space 2}  .032878{col 37}{space 1}    2.77{col 46}{space 3}0.006{col 54}{space 4} .0263583{col 67}{space 3} .1560817
{txt}c_tfull_ed~r {c |}{col 14}{res}{space 2} .0045883{col 26}{space 2} .0016172{col 37}{space 1}    2.84{col 46}{space 3}0.005{col 54}{space 4}  .001398{col 67}{space 3} .0077787
{txt}c_tfull_b_~x {c |}{col 14}{res}{space 2} .0275659{col 26}{space 2} .0086925{col 37}{space 1}    3.17{col 46}{space 3}0.002{col 54}{space 4} .0104174{col 67}{space 3} .0447144
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} .0035564{col 26}{space 2} .0191754{col 37}{space 1}    0.19{col 46}{space 3}0.853{col 54}{space 4}-.0342728{col 67}{space 3} .0413856
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull = .054{p_end}

{txt}       F(  1,   186) ={res}    2.98
{txt}{col 13}Prob > F ={res}    0.0858

{p 0 7}{space 1}{text:( 1)}{space 1} treatfull = -.054{p_end}

{txt}       F(  1,   186) ={res}    4.52
{txt}{col 13}Prob > F ={res}    0.0348
{txt}note: b_commtg_z_d omitted because of collinearity
{res}
{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}     7,288
{txt}{col 49}F({res}   8{txt},{res}    186{txt}){col 67}= {res}     11.69
{txt}{col 49}Prob > F{col 67}= {res}    0.0000
{txt}{col 49}R-squared{col 67}= {res}    0.0961
{txt}{col 49}Adj R-squared{col 67}= {res}    0.0933
{txt}{col 49}Root MSE{col 67}= {res}    0.5588

{txt}{ralign 78:(Std. Err. adjusted for {res:187} clusters in hc_id)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}  e_commtg_z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2} .0055923{col 26}{space 2} .0280309{col 37}{space 1}    0.20{col 46}{space 3}0.842{col 54}{space 4}-.0497072{col 67}{space 3} .0608917
{txt}{space 2}b_commtg_z {c |}{col 14}{res}{space 2} .0757774{col 26}{space 2} .0135575{col 37}{space 1}    5.59{col 46}{space 3}0.000{col 54}{space 4} .0490312{col 67}{space 3} .1025235
{txt}b_commtg_z_d {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 1}c_tfull_hc2 {c |}{col 14}{res}{space 2} .1239928{col 26}{space 2} .0320277{col 37}{space 1}    3.87{col 46}{space 3}0.000{col 54}{space 4} .0608085{col 67}{space 3} .1871772
{txt}c_tfull_b_~l {c |}{col 14}{res}{space 2} .0852744{col 26}{space 2} .0385592{col 37}{space 1}    2.21{col 46}{space 3}0.028{col 54}{space 4} .0092047{col 67}{space 3} .1613441
{txt}c_tfull_b_~s {c |}{col 14}{res}{space 2} .0054989{col 26}{space 2}    .0554{col 37}{space 1}    0.10{col 46}{space 3}0.921{col 54}{space 4}-.1037943{col 67}{space 3} .1147921
{txt}c_tfull_b_~d {c |}{col 14}{res}{space 2}   .09122{col 26}{space 2}  .032878{col 37}{space 1}    2.77{col 46}{space 3}0.006{col 54}{space 4} .0263583{col 67}{space 3} .1560817
{txt}c_tfull_ed~r {c |}{col 14}{res}{space 2} .0045883{col 26}{space 2} .0016172{col 37}{space 1}    2.84{col 46}{space 3}0.005{col 54}{space 4}  .001398{col 67}{space 3} .0077787
{txt}c_tfull_b_~x {c |}{col 14}{res}{space 2} .0275659{col 26}{space 2} .0086925{col 37}{space 1}    3.17{col 46}{space 3}0.002{col 54}{space 4} .0104174{col 67}{space 3} .0447144
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} .0035564{col 26}{space 2} .0191754{col 37}{space 1}    0.19{col 46}{space 3}0.853{col 54}{space 4}-.0342728{col 67}{space 3} .0413856
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull = .055{p_end}

{txt}       F(  1,   186) ={res}    3.11
{txt}{col 13}Prob > F ={res}    0.0796

{p 0 7}{space 1}{text:( 1)}{space 1} treatfull = -.055{p_end}

{txt}       F(  1,   186) ={res}    4.67
{txt}{col 13}Prob > F ={res}    0.0319
{txt}note: b_commtg_z_d omitted because of collinearity
{res}
{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}     7,288
{txt}{col 49}F({res}   8{txt},{res}    186{txt}){col 67}= {res}     11.69
{txt}{col 49}Prob > F{col 67}= {res}    0.0000
{txt}{col 49}R-squared{col 67}= {res}    0.0961
{txt}{col 49}Adj R-squared{col 67}= {res}    0.0933
{txt}{col 49}Root MSE{col 67}= {res}    0.5588

{txt}{ralign 78:(Std. Err. adjusted for {res:187} clusters in hc_id)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}  e_commtg_z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2} .0055923{col 26}{space 2} .0280309{col 37}{space 1}    0.20{col 46}{space 3}0.842{col 54}{space 4}-.0497072{col 67}{space 3} .0608917
{txt}{space 2}b_commtg_z {c |}{col 14}{res}{space 2} .0757774{col 26}{space 2} .0135575{col 37}{space 1}    5.59{col 46}{space 3}0.000{col 54}{space 4} .0490312{col 67}{space 3} .1025235
{txt}b_commtg_z_d {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 1}c_tfull_hc2 {c |}{col 14}{res}{space 2} .1239928{col 26}{space 2} .0320277{col 37}{space 1}    3.87{col 46}{space 3}0.000{col 54}{space 4} .0608085{col 67}{space 3} .1871772
{txt}c_tfull_b_~l {c |}{col 14}{res}{space 2} .0852744{col 26}{space 2} .0385592{col 37}{space 1}    2.21{col 46}{space 3}0.028{col 54}{space 4} .0092047{col 67}{space 3} .1613441
{txt}c_tfull_b_~s {c |}{col 14}{res}{space 2} .0054989{col 26}{space 2}    .0554{col 37}{space 1}    0.10{col 46}{space 3}0.921{col 54}{space 4}-.1037943{col 67}{space 3} .1147921
{txt}c_tfull_b_~d {c |}{col 14}{res}{space 2}   .09122{col 26}{space 2}  .032878{col 37}{space 1}    2.77{col 46}{space 3}0.006{col 54}{space 4} .0263583{col 67}{space 3} .1560817
{txt}c_tfull_ed~r {c |}{col 14}{res}{space 2} .0045883{col 26}{space 2} .0016172{col 37}{space 1}    2.84{col 46}{space 3}0.005{col 54}{space 4}  .001398{col 67}{space 3} .0077787
{txt}c_tfull_b_~x {c |}{col 14}{res}{space 2} .0275659{col 26}{space 2} .0086925{col 37}{space 1}    3.17{col 46}{space 3}0.002{col 54}{space 4} .0104174{col 67}{space 3} .0447144
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} .0035564{col 26}{space 2} .0191754{col 37}{space 1}    0.19{col 46}{space 3}0.853{col 54}{space 4}-.0342728{col 67}{space 3} .0413856
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull = .056{p_end}

{txt}       F(  1,   186) ={res}    3.23
{txt}{col 13}Prob > F ={res}    0.0738

{p 0 7}{space 1}{text:( 1)}{space 1} treatfull = -.056{p_end}

{txt}       F(  1,   186) ={res}    4.83
{txt}{col 13}Prob > F ={res}    0.0292
{txt}note: b_commtg_z_d omitted because of collinearity
{res}
{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}     7,288
{txt}{col 49}F({res}   8{txt},{res}    186{txt}){col 67}= {res}     11.69
{txt}{col 49}Prob > F{col 67}= {res}    0.0000
{txt}{col 49}R-squared{col 67}= {res}    0.0961
{txt}{col 49}Adj R-squared{col 67}= {res}    0.0933
{txt}{col 49}Root MSE{col 67}= {res}    0.5588

{txt}{ralign 78:(Std. Err. adjusted for {res:187} clusters in hc_id)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}  e_commtg_z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2} .0055923{col 26}{space 2} .0280309{col 37}{space 1}    0.20{col 46}{space 3}0.842{col 54}{space 4}-.0497072{col 67}{space 3} .0608917
{txt}{space 2}b_commtg_z {c |}{col 14}{res}{space 2} .0757774{col 26}{space 2} .0135575{col 37}{space 1}    5.59{col 46}{space 3}0.000{col 54}{space 4} .0490312{col 67}{space 3} .1025235
{txt}b_commtg_z_d {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 1}c_tfull_hc2 {c |}{col 14}{res}{space 2} .1239928{col 26}{space 2} .0320277{col 37}{space 1}    3.87{col 46}{space 3}0.000{col 54}{space 4} .0608085{col 67}{space 3} .1871772
{txt}c_tfull_b_~l {c |}{col 14}{res}{space 2} .0852744{col 26}{space 2} .0385592{col 37}{space 1}    2.21{col 46}{space 3}0.028{col 54}{space 4} .0092047{col 67}{space 3} .1613441
{txt}c_tfull_b_~s {c |}{col 14}{res}{space 2} .0054989{col 26}{space 2}    .0554{col 37}{space 1}    0.10{col 46}{space 3}0.921{col 54}{space 4}-.1037943{col 67}{space 3} .1147921
{txt}c_tfull_b_~d {c |}{col 14}{res}{space 2}   .09122{col 26}{space 2}  .032878{col 37}{space 1}    2.77{col 46}{space 3}0.006{col 54}{space 4} .0263583{col 67}{space 3} .1560817
{txt}c_tfull_ed~r {c |}{col 14}{res}{space 2} .0045883{col 26}{space 2} .0016172{col 37}{space 1}    2.84{col 46}{space 3}0.005{col 54}{space 4}  .001398{col 67}{space 3} .0077787
{txt}c_tfull_b_~x {c |}{col 14}{res}{space 2} .0275659{col 26}{space 2} .0086925{col 37}{space 1}    3.17{col 46}{space 3}0.002{col 54}{space 4} .0104174{col 67}{space 3} .0447144
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} .0035564{col 26}{space 2} .0191754{col 37}{space 1}    0.19{col 46}{space 3}0.853{col 54}{space 4}-.0342728{col 67}{space 3} .0413856
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull = .057{p_end}

{txt}       F(  1,   186) ={res}    3.36
{txt}{col 13}Prob > F ={res}    0.0683

{p 0 7}{space 1}{text:( 1)}{space 1} treatfull = -.057{p_end}

{txt}       F(  1,   186) ={res}    4.99
{txt}{col 13}Prob > F ={res}    0.0267
{txt}note: b_commtg_z_d omitted because of collinearity
{res}
{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}     7,288
{txt}{col 49}F({res}   8{txt},{res}    186{txt}){col 67}= {res}     11.69
{txt}{col 49}Prob > F{col 67}= {res}    0.0000
{txt}{col 49}R-squared{col 67}= {res}    0.0961
{txt}{col 49}Adj R-squared{col 67}= {res}    0.0933
{txt}{col 49}Root MSE{col 67}= {res}    0.5588

{txt}{ralign 78:(Std. Err. adjusted for {res:187} clusters in hc_id)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}  e_commtg_z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2} .0055923{col 26}{space 2} .0280309{col 37}{space 1}    0.20{col 46}{space 3}0.842{col 54}{space 4}-.0497072{col 67}{space 3} .0608917
{txt}{space 2}b_commtg_z {c |}{col 14}{res}{space 2} .0757774{col 26}{space 2} .0135575{col 37}{space 1}    5.59{col 46}{space 3}0.000{col 54}{space 4} .0490312{col 67}{space 3} .1025235
{txt}b_commtg_z_d {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 1}c_tfull_hc2 {c |}{col 14}{res}{space 2} .1239928{col 26}{space 2} .0320277{col 37}{space 1}    3.87{col 46}{space 3}0.000{col 54}{space 4} .0608085{col 67}{space 3} .1871772
{txt}c_tfull_b_~l {c |}{col 14}{res}{space 2} .0852744{col 26}{space 2} .0385592{col 37}{space 1}    2.21{col 46}{space 3}0.028{col 54}{space 4} .0092047{col 67}{space 3} .1613441
{txt}c_tfull_b_~s {c |}{col 14}{res}{space 2} .0054989{col 26}{space 2}    .0554{col 37}{space 1}    0.10{col 46}{space 3}0.921{col 54}{space 4}-.1037943{col 67}{space 3} .1147921
{txt}c_tfull_b_~d {c |}{col 14}{res}{space 2}   .09122{col 26}{space 2}  .032878{col 37}{space 1}    2.77{col 46}{space 3}0.006{col 54}{space 4} .0263583{col 67}{space 3} .1560817
{txt}c_tfull_ed~r {c |}{col 14}{res}{space 2} .0045883{col 26}{space 2} .0016172{col 37}{space 1}    2.84{col 46}{space 3}0.005{col 54}{space 4}  .001398{col 67}{space 3} .0077787
{txt}c_tfull_b_~x {c |}{col 14}{res}{space 2} .0275659{col 26}{space 2} .0086925{col 37}{space 1}    3.17{col 46}{space 3}0.002{col 54}{space 4} .0104174{col 67}{space 3} .0447144
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} .0035564{col 26}{space 2} .0191754{col 37}{space 1}    0.19{col 46}{space 3}0.853{col 54}{space 4}-.0342728{col 67}{space 3} .0413856
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull = .058{p_end}

{txt}       F(  1,   186) ={res}    3.50
{txt}{col 13}Prob > F ={res}    0.0631

{p 0 7}{space 1}{text:( 1)}{space 1} treatfull = -.058{p_end}

{txt}       F(  1,   186) ={res}    5.15
{txt}{col 13}Prob > F ={res}    0.0244
{txt}note: b_commtg_z_d omitted because of collinearity
{res}
{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}     7,288
{txt}{col 49}F({res}   8{txt},{res}    186{txt}){col 67}= {res}     11.69
{txt}{col 49}Prob > F{col 67}= {res}    0.0000
{txt}{col 49}R-squared{col 67}= {res}    0.0961
{txt}{col 49}Adj R-squared{col 67}= {res}    0.0933
{txt}{col 49}Root MSE{col 67}= {res}    0.5588

{txt}{ralign 78:(Std. Err. adjusted for {res:187} clusters in hc_id)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}  e_commtg_z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2} .0055923{col 26}{space 2} .0280309{col 37}{space 1}    0.20{col 46}{space 3}0.842{col 54}{space 4}-.0497072{col 67}{space 3} .0608917
{txt}{space 2}b_commtg_z {c |}{col 14}{res}{space 2} .0757774{col 26}{space 2} .0135575{col 37}{space 1}    5.59{col 46}{space 3}0.000{col 54}{space 4} .0490312{col 67}{space 3} .1025235
{txt}b_commtg_z_d {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 1}c_tfull_hc2 {c |}{col 14}{res}{space 2} .1239928{col 26}{space 2} .0320277{col 37}{space 1}    3.87{col 46}{space 3}0.000{col 54}{space 4} .0608085{col 67}{space 3} .1871772
{txt}c_tfull_b_~l {c |}{col 14}{res}{space 2} .0852744{col 26}{space 2} .0385592{col 37}{space 1}    2.21{col 46}{space 3}0.028{col 54}{space 4} .0092047{col 67}{space 3} .1613441
{txt}c_tfull_b_~s {c |}{col 14}{res}{space 2} .0054989{col 26}{space 2}    .0554{col 37}{space 1}    0.10{col 46}{space 3}0.921{col 54}{space 4}-.1037943{col 67}{space 3} .1147921
{txt}c_tfull_b_~d {c |}{col 14}{res}{space 2}   .09122{col 26}{space 2}  .032878{col 37}{space 1}    2.77{col 46}{space 3}0.006{col 54}{space 4} .0263583{col 67}{space 3} .1560817
{txt}c_tfull_ed~r {c |}{col 14}{res}{space 2} .0045883{col 26}{space 2} .0016172{col 37}{space 1}    2.84{col 46}{space 3}0.005{col 54}{space 4}  .001398{col 67}{space 3} .0077787
{txt}c_tfull_b_~x {c |}{col 14}{res}{space 2} .0275659{col 26}{space 2} .0086925{col 37}{space 1}    3.17{col 46}{space 3}0.002{col 54}{space 4} .0104174{col 67}{space 3} .0447144
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} .0035564{col 26}{space 2} .0191754{col 37}{space 1}    0.19{col 46}{space 3}0.853{col 54}{space 4}-.0342728{col 67}{space 3} .0413856
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull = .059{p_end}

{txt}       F(  1,   186) ={res}    3.63
{txt}{col 13}Prob > F ={res}    0.0583

{p 0 7}{space 1}{text:( 1)}{space 1} treatfull = -.059{p_end}

{txt}       F(  1,   186) ={res}    5.31
{txt}{col 13}Prob > F ={res}    0.0223
{txt}note: b_commtg_z_d omitted because of collinearity
{res}
{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}     7,288
{txt}{col 49}F({res}   8{txt},{res}    186{txt}){col 67}= {res}     11.69
{txt}{col 49}Prob > F{col 67}= {res}    0.0000
{txt}{col 49}R-squared{col 67}= {res}    0.0961
{txt}{col 49}Adj R-squared{col 67}= {res}    0.0933
{txt}{col 49}Root MSE{col 67}= {res}    0.5588

{txt}{ralign 78:(Std. Err. adjusted for {res:187} clusters in hc_id)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}  e_commtg_z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2} .0055923{col 26}{space 2} .0280309{col 37}{space 1}    0.20{col 46}{space 3}0.842{col 54}{space 4}-.0497072{col 67}{space 3} .0608917
{txt}{space 2}b_commtg_z {c |}{col 14}{res}{space 2} .0757774{col 26}{space 2} .0135575{col 37}{space 1}    5.59{col 46}{space 3}0.000{col 54}{space 4} .0490312{col 67}{space 3} .1025235
{txt}b_commtg_z_d {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 1}c_tfull_hc2 {c |}{col 14}{res}{space 2} .1239928{col 26}{space 2} .0320277{col 37}{space 1}    3.87{col 46}{space 3}0.000{col 54}{space 4} .0608085{col 67}{space 3} .1871772
{txt}c_tfull_b_~l {c |}{col 14}{res}{space 2} .0852744{col 26}{space 2} .0385592{col 37}{space 1}    2.21{col 46}{space 3}0.028{col 54}{space 4} .0092047{col 67}{space 3} .1613441
{txt}c_tfull_b_~s {c |}{col 14}{res}{space 2} .0054989{col 26}{space 2}    .0554{col 37}{space 1}    0.10{col 46}{space 3}0.921{col 54}{space 4}-.1037943{col 67}{space 3} .1147921
{txt}c_tfull_b_~d {c |}{col 14}{res}{space 2}   .09122{col 26}{space 2}  .032878{col 37}{space 1}    2.77{col 46}{space 3}0.006{col 54}{space 4} .0263583{col 67}{space 3} .1560817
{txt}c_tfull_ed~r {c |}{col 14}{res}{space 2} .0045883{col 26}{space 2} .0016172{col 37}{space 1}    2.84{col 46}{space 3}0.005{col 54}{space 4}  .001398{col 67}{space 3} .0077787
{txt}c_tfull_b_~x {c |}{col 14}{res}{space 2} .0275659{col 26}{space 2} .0086925{col 37}{space 1}    3.17{col 46}{space 3}0.002{col 54}{space 4} .0104174{col 67}{space 3} .0447144
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} .0035564{col 26}{space 2} .0191754{col 37}{space 1}    0.19{col 46}{space 3}0.853{col 54}{space 4}-.0342728{col 67}{space 3} .0413856
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull = .06{p_end}

{txt}       F(  1,   186) ={res}    3.77
{txt}{col 13}Prob > F ={res}    0.0538

{p 0 7}{space 1}{text:( 1)}{space 1} treatfull = -.06{p_end}

{txt}       F(  1,   186) ={res}    5.48
{txt}{col 13}Prob > F ={res}    0.0203
{txt}note: b_commtg_z_d omitted because of collinearity
{res}
{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}     7,288
{txt}{col 49}F({res}   8{txt},{res}    186{txt}){col 67}= {res}     11.69
{txt}{col 49}Prob > F{col 67}= {res}    0.0000
{txt}{col 49}R-squared{col 67}= {res}    0.0961
{txt}{col 49}Adj R-squared{col 67}= {res}    0.0933
{txt}{col 49}Root MSE{col 67}= {res}    0.5588

{txt}{ralign 78:(Std. Err. adjusted for {res:187} clusters in hc_id)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}  e_commtg_z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2} .0055923{col 26}{space 2} .0280309{col 37}{space 1}    0.20{col 46}{space 3}0.842{col 54}{space 4}-.0497072{col 67}{space 3} .0608917
{txt}{space 2}b_commtg_z {c |}{col 14}{res}{space 2} .0757774{col 26}{space 2} .0135575{col 37}{space 1}    5.59{col 46}{space 3}0.000{col 54}{space 4} .0490312{col 67}{space 3} .1025235
{txt}b_commtg_z_d {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 1}c_tfull_hc2 {c |}{col 14}{res}{space 2} .1239928{col 26}{space 2} .0320277{col 37}{space 1}    3.87{col 46}{space 3}0.000{col 54}{space 4} .0608085{col 67}{space 3} .1871772
{txt}c_tfull_b_~l {c |}{col 14}{res}{space 2} .0852744{col 26}{space 2} .0385592{col 37}{space 1}    2.21{col 46}{space 3}0.028{col 54}{space 4} .0092047{col 67}{space 3} .1613441
{txt}c_tfull_b_~s {c |}{col 14}{res}{space 2} .0054989{col 26}{space 2}    .0554{col 37}{space 1}    0.10{col 46}{space 3}0.921{col 54}{space 4}-.1037943{col 67}{space 3} .1147921
{txt}c_tfull_b_~d {c |}{col 14}{res}{space 2}   .09122{col 26}{space 2}  .032878{col 37}{space 1}    2.77{col 46}{space 3}0.006{col 54}{space 4} .0263583{col 67}{space 3} .1560817
{txt}c_tfull_ed~r {c |}{col 14}{res}{space 2} .0045883{col 26}{space 2} .0016172{col 37}{space 1}    2.84{col 46}{space 3}0.005{col 54}{space 4}  .001398{col 67}{space 3} .0077787
{txt}c_tfull_b_~x {c |}{col 14}{res}{space 2} .0275659{col 26}{space 2} .0086925{col 37}{space 1}    3.17{col 46}{space 3}0.002{col 54}{space 4} .0104174{col 67}{space 3} .0447144
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} .0035564{col 26}{space 2} .0191754{col 37}{space 1}    0.19{col 46}{space 3}0.853{col 54}{space 4}-.0342728{col 67}{space 3} .0413856
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull = .061{p_end}

{txt}       F(  1,   186) ={res}    3.91
{txt}{col 13}Prob > F ={res}    0.0496

{p 0 7}{space 1}{text:( 1)}{space 1} treatfull = -.061{p_end}

{txt}       F(  1,   186) ={res}    5.64
{txt}{col 13}Prob > F ={res}    0.0185
{txt}note: b_commtg_z_d omitted because of collinearity
{res}
{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}     7,288
{txt}{col 49}F({res}   8{txt},{res}    186{txt}){col 67}= {res}     11.69
{txt}{col 49}Prob > F{col 67}= {res}    0.0000
{txt}{col 49}R-squared{col 67}= {res}    0.0961
{txt}{col 49}Adj R-squared{col 67}= {res}    0.0933
{txt}{col 49}Root MSE{col 67}= {res}    0.5588

{txt}{ralign 78:(Std. Err. adjusted for {res:187} clusters in hc_id)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}  e_commtg_z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2} .0055923{col 26}{space 2} .0280309{col 37}{space 1}    0.20{col 46}{space 3}0.842{col 54}{space 4}-.0497072{col 67}{space 3} .0608917
{txt}{space 2}b_commtg_z {c |}{col 14}{res}{space 2} .0757774{col 26}{space 2} .0135575{col 37}{space 1}    5.59{col 46}{space 3}0.000{col 54}{space 4} .0490312{col 67}{space 3} .1025235
{txt}b_commtg_z_d {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 1}c_tfull_hc2 {c |}{col 14}{res}{space 2} .1239928{col 26}{space 2} .0320277{col 37}{space 1}    3.87{col 46}{space 3}0.000{col 54}{space 4} .0608085{col 67}{space 3} .1871772
{txt}c_tfull_b_~l {c |}{col 14}{res}{space 2} .0852744{col 26}{space 2} .0385592{col 37}{space 1}    2.21{col 46}{space 3}0.028{col 54}{space 4} .0092047{col 67}{space 3} .1613441
{txt}c_tfull_b_~s {c |}{col 14}{res}{space 2} .0054989{col 26}{space 2}    .0554{col 37}{space 1}    0.10{col 46}{space 3}0.921{col 54}{space 4}-.1037943{col 67}{space 3} .1147921
{txt}c_tfull_b_~d {c |}{col 14}{res}{space 2}   .09122{col 26}{space 2}  .032878{col 37}{space 1}    2.77{col 46}{space 3}0.006{col 54}{space 4} .0263583{col 67}{space 3} .1560817
{txt}c_tfull_ed~r {c |}{col 14}{res}{space 2} .0045883{col 26}{space 2} .0016172{col 37}{space 1}    2.84{col 46}{space 3}0.005{col 54}{space 4}  .001398{col 67}{space 3} .0077787
{txt}c_tfull_b_~x {c |}{col 14}{res}{space 2} .0275659{col 26}{space 2} .0086925{col 37}{space 1}    3.17{col 46}{space 3}0.002{col 54}{space 4} .0104174{col 67}{space 3} .0447144
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} .0035564{col 26}{space 2} .0191754{col 37}{space 1}    0.19{col 46}{space 3}0.853{col 54}{space 4}-.0342728{col 67}{space 3} .0413856
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull = .062{p_end}

{txt}       F(  1,   186) ={res}    4.05
{txt}{col 13}Prob > F ={res}    0.0456

{p 0 7}{space 1}{text:( 1)}{space 1} treatfull = -.062{p_end}

{txt}       F(  1,   186) ={res}    5.81
{txt}{col 13}Prob > F ={res}    0.0169
{txt}note: b_commtg_z_d omitted because of collinearity
{res}
{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}     7,288
{txt}{col 49}F({res}   8{txt},{res}    186{txt}){col 67}= {res}     11.69
{txt}{col 49}Prob > F{col 67}= {res}    0.0000
{txt}{col 49}R-squared{col 67}= {res}    0.0961
{txt}{col 49}Adj R-squared{col 67}= {res}    0.0933
{txt}{col 49}Root MSE{col 67}= {res}    0.5588

{txt}{ralign 78:(Std. Err. adjusted for {res:187} clusters in hc_id)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}  e_commtg_z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2} .0055923{col 26}{space 2} .0280309{col 37}{space 1}    0.20{col 46}{space 3}0.842{col 54}{space 4}-.0497072{col 67}{space 3} .0608917
{txt}{space 2}b_commtg_z {c |}{col 14}{res}{space 2} .0757774{col 26}{space 2} .0135575{col 37}{space 1}    5.59{col 46}{space 3}0.000{col 54}{space 4} .0490312{col 67}{space 3} .1025235
{txt}b_commtg_z_d {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 1}c_tfull_hc2 {c |}{col 14}{res}{space 2} .1239928{col 26}{space 2} .0320277{col 37}{space 1}    3.87{col 46}{space 3}0.000{col 54}{space 4} .0608085{col 67}{space 3} .1871772
{txt}c_tfull_b_~l {c |}{col 14}{res}{space 2} .0852744{col 26}{space 2} .0385592{col 37}{space 1}    2.21{col 46}{space 3}0.028{col 54}{space 4} .0092047{col 67}{space 3} .1613441
{txt}c_tfull_b_~s {c |}{col 14}{res}{space 2} .0054989{col 26}{space 2}    .0554{col 37}{space 1}    0.10{col 46}{space 3}0.921{col 54}{space 4}-.1037943{col 67}{space 3} .1147921
{txt}c_tfull_b_~d {c |}{col 14}{res}{space 2}   .09122{col 26}{space 2}  .032878{col 37}{space 1}    2.77{col 46}{space 3}0.006{col 54}{space 4} .0263583{col 67}{space 3} .1560817
{txt}c_tfull_ed~r {c |}{col 14}{res}{space 2} .0045883{col 26}{space 2} .0016172{col 37}{space 1}    2.84{col 46}{space 3}0.005{col 54}{space 4}  .001398{col 67}{space 3} .0077787
{txt}c_tfull_b_~x {c |}{col 14}{res}{space 2} .0275659{col 26}{space 2} .0086925{col 37}{space 1}    3.17{col 46}{space 3}0.002{col 54}{space 4} .0104174{col 67}{space 3} .0447144
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} .0035564{col 26}{space 2} .0191754{col 37}{space 1}    0.19{col 46}{space 3}0.853{col 54}{space 4}-.0342728{col 67}{space 3} .0413856
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull = .063{p_end}

{txt}       F(  1,   186) ={res}    4.19
{txt}{col 13}Prob > F ={res}    0.0420

{p 0 7}{space 1}{text:( 1)}{space 1} treatfull = -.063{p_end}

{txt}       F(  1,   186) ={res}    5.99
{txt}{col 13}Prob > F ={res}    0.0153
{txt}note: b_commtg_z_d omitted because of collinearity
{res}
{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}     7,288
{txt}{col 49}F({res}   8{txt},{res}    186{txt}){col 67}= {res}     11.69
{txt}{col 49}Prob > F{col 67}= {res}    0.0000
{txt}{col 49}R-squared{col 67}= {res}    0.0961
{txt}{col 49}Adj R-squared{col 67}= {res}    0.0933
{txt}{col 49}Root MSE{col 67}= {res}    0.5588

{txt}{ralign 78:(Std. Err. adjusted for {res:187} clusters in hc_id)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}  e_commtg_z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2} .0055923{col 26}{space 2} .0280309{col 37}{space 1}    0.20{col 46}{space 3}0.842{col 54}{space 4}-.0497072{col 67}{space 3} .0608917
{txt}{space 2}b_commtg_z {c |}{col 14}{res}{space 2} .0757774{col 26}{space 2} .0135575{col 37}{space 1}    5.59{col 46}{space 3}0.000{col 54}{space 4} .0490312{col 67}{space 3} .1025235
{txt}b_commtg_z_d {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 1}c_tfull_hc2 {c |}{col 14}{res}{space 2} .1239928{col 26}{space 2} .0320277{col 37}{space 1}    3.87{col 46}{space 3}0.000{col 54}{space 4} .0608085{col 67}{space 3} .1871772
{txt}c_tfull_b_~l {c |}{col 14}{res}{space 2} .0852744{col 26}{space 2} .0385592{col 37}{space 1}    2.21{col 46}{space 3}0.028{col 54}{space 4} .0092047{col 67}{space 3} .1613441
{txt}c_tfull_b_~s {c |}{col 14}{res}{space 2} .0054989{col 26}{space 2}    .0554{col 37}{space 1}    0.10{col 46}{space 3}0.921{col 54}{space 4}-.1037943{col 67}{space 3} .1147921
{txt}c_tfull_b_~d {c |}{col 14}{res}{space 2}   .09122{col 26}{space 2}  .032878{col 37}{space 1}    2.77{col 46}{space 3}0.006{col 54}{space 4} .0263583{col 67}{space 3} .1560817
{txt}c_tfull_ed~r {c |}{col 14}{res}{space 2} .0045883{col 26}{space 2} .0016172{col 37}{space 1}    2.84{col 46}{space 3}0.005{col 54}{space 4}  .001398{col 67}{space 3} .0077787
{txt}c_tfull_b_~x {c |}{col 14}{res}{space 2} .0275659{col 26}{space 2} .0086925{col 37}{space 1}    3.17{col 46}{space 3}0.002{col 54}{space 4} .0104174{col 67}{space 3} .0447144
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} .0035564{col 26}{space 2} .0191754{col 37}{space 1}    0.19{col 46}{space 3}0.853{col 54}{space 4}-.0342728{col 67}{space 3} .0413856
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull = .064{p_end}

{txt}       F(  1,   186) ={res}    4.34
{txt}{col 13}Prob > F ={res}    0.0386

{p 0 7}{space 1}{text:( 1)}{space 1} treatfull = -.064{p_end}

{txt}       F(  1,   186) ={res}    6.16
{txt}{col 13}Prob > F ={res}    0.0139
{txt}note: b_commtg_z_d omitted because of collinearity
{res}
{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}     7,288
{txt}{col 49}F({res}   8{txt},{res}    186{txt}){col 67}= {res}     11.69
{txt}{col 49}Prob > F{col 67}= {res}    0.0000
{txt}{col 49}R-squared{col 67}= {res}    0.0961
{txt}{col 49}Adj R-squared{col 67}= {res}    0.0933
{txt}{col 49}Root MSE{col 67}= {res}    0.5588

{txt}{ralign 78:(Std. Err. adjusted for {res:187} clusters in hc_id)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}  e_commtg_z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2} .0055923{col 26}{space 2} .0280309{col 37}{space 1}    0.20{col 46}{space 3}0.842{col 54}{space 4}-.0497072{col 67}{space 3} .0608917
{txt}{space 2}b_commtg_z {c |}{col 14}{res}{space 2} .0757774{col 26}{space 2} .0135575{col 37}{space 1}    5.59{col 46}{space 3}0.000{col 54}{space 4} .0490312{col 67}{space 3} .1025235
{txt}b_commtg_z_d {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 1}c_tfull_hc2 {c |}{col 14}{res}{space 2} .1239928{col 26}{space 2} .0320277{col 37}{space 1}    3.87{col 46}{space 3}0.000{col 54}{space 4} .0608085{col 67}{space 3} .1871772
{txt}c_tfull_b_~l {c |}{col 14}{res}{space 2} .0852744{col 26}{space 2} .0385592{col 37}{space 1}    2.21{col 46}{space 3}0.028{col 54}{space 4} .0092047{col 67}{space 3} .1613441
{txt}c_tfull_b_~s {c |}{col 14}{res}{space 2} .0054989{col 26}{space 2}    .0554{col 37}{space 1}    0.10{col 46}{space 3}0.921{col 54}{space 4}-.1037943{col 67}{space 3} .1147921
{txt}c_tfull_b_~d {c |}{col 14}{res}{space 2}   .09122{col 26}{space 2}  .032878{col 37}{space 1}    2.77{col 46}{space 3}0.006{col 54}{space 4} .0263583{col 67}{space 3} .1560817
{txt}c_tfull_ed~r {c |}{col 14}{res}{space 2} .0045883{col 26}{space 2} .0016172{col 37}{space 1}    2.84{col 46}{space 3}0.005{col 54}{space 4}  .001398{col 67}{space 3} .0077787
{txt}c_tfull_b_~x {c |}{col 14}{res}{space 2} .0275659{col 26}{space 2} .0086925{col 37}{space 1}    3.17{col 46}{space 3}0.002{col 54}{space 4} .0104174{col 67}{space 3} .0447144
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} .0035564{col 26}{space 2} .0191754{col 37}{space 1}    0.19{col 46}{space 3}0.853{col 54}{space 4}-.0342728{col 67}{space 3} .0413856
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull = .065{p_end}

{txt}       F(  1,   186) ={res}    4.49
{txt}{col 13}Prob > F ={res}    0.0354

{p 0 7}{space 1}{text:( 1)}{space 1} treatfull = -.065{p_end}

{txt}       F(  1,   186) ={res}    6.34
{txt}{col 13}Prob > F ={res}    0.0126
{txt}note: b_commtg_z_d omitted because of collinearity
{res}
{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}     7,288
{txt}{col 49}F({res}   8{txt},{res}    186{txt}){col 67}= {res}     11.69
{txt}{col 49}Prob > F{col 67}= {res}    0.0000
{txt}{col 49}R-squared{col 67}= {res}    0.0961
{txt}{col 49}Adj R-squared{col 67}= {res}    0.0933
{txt}{col 49}Root MSE{col 67}= {res}    0.5588

{txt}{ralign 78:(Std. Err. adjusted for {res:187} clusters in hc_id)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}  e_commtg_z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2} .0055923{col 26}{space 2} .0280309{col 37}{space 1}    0.20{col 46}{space 3}0.842{col 54}{space 4}-.0497072{col 67}{space 3} .0608917
{txt}{space 2}b_commtg_z {c |}{col 14}{res}{space 2} .0757774{col 26}{space 2} .0135575{col 37}{space 1}    5.59{col 46}{space 3}0.000{col 54}{space 4} .0490312{col 67}{space 3} .1025235
{txt}b_commtg_z_d {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 1}c_tfull_hc2 {c |}{col 14}{res}{space 2} .1239928{col 26}{space 2} .0320277{col 37}{space 1}    3.87{col 46}{space 3}0.000{col 54}{space 4} .0608085{col 67}{space 3} .1871772
{txt}c_tfull_b_~l {c |}{col 14}{res}{space 2} .0852744{col 26}{space 2} .0385592{col 37}{space 1}    2.21{col 46}{space 3}0.028{col 54}{space 4} .0092047{col 67}{space 3} .1613441
{txt}c_tfull_b_~s {c |}{col 14}{res}{space 2} .0054989{col 26}{space 2}    .0554{col 37}{space 1}    0.10{col 46}{space 3}0.921{col 54}{space 4}-.1037943{col 67}{space 3} .1147921
{txt}c_tfull_b_~d {c |}{col 14}{res}{space 2}   .09122{col 26}{space 2}  .032878{col 37}{space 1}    2.77{col 46}{space 3}0.006{col 54}{space 4} .0263583{col 67}{space 3} .1560817
{txt}c_tfull_ed~r {c |}{col 14}{res}{space 2} .0045883{col 26}{space 2} .0016172{col 37}{space 1}    2.84{col 46}{space 3}0.005{col 54}{space 4}  .001398{col 67}{space 3} .0077787
{txt}c_tfull_b_~x {c |}{col 14}{res}{space 2} .0275659{col 26}{space 2} .0086925{col 37}{space 1}    3.17{col 46}{space 3}0.002{col 54}{space 4} .0104174{col 67}{space 3} .0447144
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} .0035564{col 26}{space 2} .0191754{col 37}{space 1}    0.19{col 46}{space 3}0.853{col 54}{space 4}-.0342728{col 67}{space 3} .0413856
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull = .066{p_end}

{txt}       F(  1,   186) ={res}    4.64
{txt}{col 13}Prob > F ={res}    0.0324

{p 0 7}{space 1}{text:( 1)}{space 1} treatfull = -.066{p_end}

{txt}       F(  1,   186) ={res}    6.52
{txt}{col 13}Prob > F ={res}    0.0114
{txt}note: b_commtg_z_d omitted because of collinearity
{res}
{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}     7,288
{txt}{col 49}F({res}   8{txt},{res}    186{txt}){col 67}= {res}     11.69
{txt}{col 49}Prob > F{col 67}= {res}    0.0000
{txt}{col 49}R-squared{col 67}= {res}    0.0961
{txt}{col 49}Adj R-squared{col 67}= {res}    0.0933
{txt}{col 49}Root MSE{col 67}= {res}    0.5588

{txt}{ralign 78:(Std. Err. adjusted for {res:187} clusters in hc_id)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}  e_commtg_z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2} .0055923{col 26}{space 2} .0280309{col 37}{space 1}    0.20{col 46}{space 3}0.842{col 54}{space 4}-.0497072{col 67}{space 3} .0608917
{txt}{space 2}b_commtg_z {c |}{col 14}{res}{space 2} .0757774{col 26}{space 2} .0135575{col 37}{space 1}    5.59{col 46}{space 3}0.000{col 54}{space 4} .0490312{col 67}{space 3} .1025235
{txt}b_commtg_z_d {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 1}c_tfull_hc2 {c |}{col 14}{res}{space 2} .1239928{col 26}{space 2} .0320277{col 37}{space 1}    3.87{col 46}{space 3}0.000{col 54}{space 4} .0608085{col 67}{space 3} .1871772
{txt}c_tfull_b_~l {c |}{col 14}{res}{space 2} .0852744{col 26}{space 2} .0385592{col 37}{space 1}    2.21{col 46}{space 3}0.028{col 54}{space 4} .0092047{col 67}{space 3} .1613441
{txt}c_tfull_b_~s {c |}{col 14}{res}{space 2} .0054989{col 26}{space 2}    .0554{col 37}{space 1}    0.10{col 46}{space 3}0.921{col 54}{space 4}-.1037943{col 67}{space 3} .1147921
{txt}c_tfull_b_~d {c |}{col 14}{res}{space 2}   .09122{col 26}{space 2}  .032878{col 37}{space 1}    2.77{col 46}{space 3}0.006{col 54}{space 4} .0263583{col 67}{space 3} .1560817
{txt}c_tfull_ed~r {c |}{col 14}{res}{space 2} .0045883{col 26}{space 2} .0016172{col 37}{space 1}    2.84{col 46}{space 3}0.005{col 54}{space 4}  .001398{col 67}{space 3} .0077787
{txt}c_tfull_b_~x {c |}{col 14}{res}{space 2} .0275659{col 26}{space 2} .0086925{col 37}{space 1}    3.17{col 46}{space 3}0.002{col 54}{space 4} .0104174{col 67}{space 3} .0447144
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} .0035564{col 26}{space 2} .0191754{col 37}{space 1}    0.19{col 46}{space 3}0.853{col 54}{space 4}-.0342728{col 67}{space 3} .0413856
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull = .067{p_end}

{txt}       F(  1,   186) ={res}    4.80
{txt}{col 13}Prob > F ={res}    0.0297

{p 0 7}{space 1}{text:( 1)}{space 1} treatfull = -.067{p_end}

{txt}       F(  1,   186) ={res}    6.71
{txt}{col 13}Prob > F ={res}    0.0104
{txt}note: b_commtg_z_d omitted because of collinearity
{res}
{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}     7,288
{txt}{col 49}F({res}   8{txt},{res}    186{txt}){col 67}= {res}     11.69
{txt}{col 49}Prob > F{col 67}= {res}    0.0000
{txt}{col 49}R-squared{col 67}= {res}    0.0961
{txt}{col 49}Adj R-squared{col 67}= {res}    0.0933
{txt}{col 49}Root MSE{col 67}= {res}    0.5588

{txt}{ralign 78:(Std. Err. adjusted for {res:187} clusters in hc_id)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}  e_commtg_z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2} .0055923{col 26}{space 2} .0280309{col 37}{space 1}    0.20{col 46}{space 3}0.842{col 54}{space 4}-.0497072{col 67}{space 3} .0608917
{txt}{space 2}b_commtg_z {c |}{col 14}{res}{space 2} .0757774{col 26}{space 2} .0135575{col 37}{space 1}    5.59{col 46}{space 3}0.000{col 54}{space 4} .0490312{col 67}{space 3} .1025235
{txt}b_commtg_z_d {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 1}c_tfull_hc2 {c |}{col 14}{res}{space 2} .1239928{col 26}{space 2} .0320277{col 37}{space 1}    3.87{col 46}{space 3}0.000{col 54}{space 4} .0608085{col 67}{space 3} .1871772
{txt}c_tfull_b_~l {c |}{col 14}{res}{space 2} .0852744{col 26}{space 2} .0385592{col 37}{space 1}    2.21{col 46}{space 3}0.028{col 54}{space 4} .0092047{col 67}{space 3} .1613441
{txt}c_tfull_b_~s {c |}{col 14}{res}{space 2} .0054989{col 26}{space 2}    .0554{col 37}{space 1}    0.10{col 46}{space 3}0.921{col 54}{space 4}-.1037943{col 67}{space 3} .1147921
{txt}c_tfull_b_~d {c |}{col 14}{res}{space 2}   .09122{col 26}{space 2}  .032878{col 37}{space 1}    2.77{col 46}{space 3}0.006{col 54}{space 4} .0263583{col 67}{space 3} .1560817
{txt}c_tfull_ed~r {c |}{col 14}{res}{space 2} .0045883{col 26}{space 2} .0016172{col 37}{space 1}    2.84{col 46}{space 3}0.005{col 54}{space 4}  .001398{col 67}{space 3} .0077787
{txt}c_tfull_b_~x {c |}{col 14}{res}{space 2} .0275659{col 26}{space 2} .0086925{col 37}{space 1}    3.17{col 46}{space 3}0.002{col 54}{space 4} .0104174{col 67}{space 3} .0447144
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} .0035564{col 26}{space 2} .0191754{col 37}{space 1}    0.19{col 46}{space 3}0.853{col 54}{space 4}-.0342728{col 67}{space 3} .0413856
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull = .068{p_end}

{txt}       F(  1,   186) ={res}    4.96
{txt}{col 13}Prob > F ={res}    0.0272

{p 0 7}{space 1}{text:( 1)}{space 1} treatfull = -.068{p_end}

{txt}       F(  1,   186) ={res}    6.89
{txt}{col 13}Prob > F ={res}    0.0094
{txt}note: b_commtg_z_d omitted because of collinearity
{res}
{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}     7,288
{txt}{col 49}F({res}   8{txt},{res}    186{txt}){col 67}= {res}     11.69
{txt}{col 49}Prob > F{col 67}= {res}    0.0000
{txt}{col 49}R-squared{col 67}= {res}    0.0961
{txt}{col 49}Adj R-squared{col 67}= {res}    0.0933
{txt}{col 49}Root MSE{col 67}= {res}    0.5588

{txt}{ralign 78:(Std. Err. adjusted for {res:187} clusters in hc_id)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}  e_commtg_z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2} .0055923{col 26}{space 2} .0280309{col 37}{space 1}    0.20{col 46}{space 3}0.842{col 54}{space 4}-.0497072{col 67}{space 3} .0608917
{txt}{space 2}b_commtg_z {c |}{col 14}{res}{space 2} .0757774{col 26}{space 2} .0135575{col 37}{space 1}    5.59{col 46}{space 3}0.000{col 54}{space 4} .0490312{col 67}{space 3} .1025235
{txt}b_commtg_z_d {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 1}c_tfull_hc2 {c |}{col 14}{res}{space 2} .1239928{col 26}{space 2} .0320277{col 37}{space 1}    3.87{col 46}{space 3}0.000{col 54}{space 4} .0608085{col 67}{space 3} .1871772
{txt}c_tfull_b_~l {c |}{col 14}{res}{space 2} .0852744{col 26}{space 2} .0385592{col 37}{space 1}    2.21{col 46}{space 3}0.028{col 54}{space 4} .0092047{col 67}{space 3} .1613441
{txt}c_tfull_b_~s {c |}{col 14}{res}{space 2} .0054989{col 26}{space 2}    .0554{col 37}{space 1}    0.10{col 46}{space 3}0.921{col 54}{space 4}-.1037943{col 67}{space 3} .1147921
{txt}c_tfull_b_~d {c |}{col 14}{res}{space 2}   .09122{col 26}{space 2}  .032878{col 37}{space 1}    2.77{col 46}{space 3}0.006{col 54}{space 4} .0263583{col 67}{space 3} .1560817
{txt}c_tfull_ed~r {c |}{col 14}{res}{space 2} .0045883{col 26}{space 2} .0016172{col 37}{space 1}    2.84{col 46}{space 3}0.005{col 54}{space 4}  .001398{col 67}{space 3} .0077787
{txt}c_tfull_b_~x {c |}{col 14}{res}{space 2} .0275659{col 26}{space 2} .0086925{col 37}{space 1}    3.17{col 46}{space 3}0.002{col 54}{space 4} .0104174{col 67}{space 3} .0447144
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} .0035564{col 26}{space 2} .0191754{col 37}{space 1}    0.19{col 46}{space 3}0.853{col 54}{space 4}-.0342728{col 67}{space 3} .0413856
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull = .069{p_end}

{txt}       F(  1,   186) ={res}    5.12
{txt}{col 13}Prob > F ={res}    0.0249

{p 0 7}{space 1}{text:( 1)}{space 1} treatfull = -.069{p_end}

{txt}       F(  1,   186) ={res}    7.08
{txt}{col 13}Prob > F ={res}    0.0085
{txt}note: b_commtg_z_d omitted because of collinearity
{res}
{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}     7,288
{txt}{col 49}F({res}   8{txt},{res}    186{txt}){col 67}= {res}     11.69
{txt}{col 49}Prob > F{col 67}= {res}    0.0000
{txt}{col 49}R-squared{col 67}= {res}    0.0961
{txt}{col 49}Adj R-squared{col 67}= {res}    0.0933
{txt}{col 49}Root MSE{col 67}= {res}    0.5588

{txt}{ralign 78:(Std. Err. adjusted for {res:187} clusters in hc_id)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}  e_commtg_z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2} .0055923{col 26}{space 2} .0280309{col 37}{space 1}    0.20{col 46}{space 3}0.842{col 54}{space 4}-.0497072{col 67}{space 3} .0608917
{txt}{space 2}b_commtg_z {c |}{col 14}{res}{space 2} .0757774{col 26}{space 2} .0135575{col 37}{space 1}    5.59{col 46}{space 3}0.000{col 54}{space 4} .0490312{col 67}{space 3} .1025235
{txt}b_commtg_z_d {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 1}c_tfull_hc2 {c |}{col 14}{res}{space 2} .1239928{col 26}{space 2} .0320277{col 37}{space 1}    3.87{col 46}{space 3}0.000{col 54}{space 4} .0608085{col 67}{space 3} .1871772
{txt}c_tfull_b_~l {c |}{col 14}{res}{space 2} .0852744{col 26}{space 2} .0385592{col 37}{space 1}    2.21{col 46}{space 3}0.028{col 54}{space 4} .0092047{col 67}{space 3} .1613441
{txt}c_tfull_b_~s {c |}{col 14}{res}{space 2} .0054989{col 26}{space 2}    .0554{col 37}{space 1}    0.10{col 46}{space 3}0.921{col 54}{space 4}-.1037943{col 67}{space 3} .1147921
{txt}c_tfull_b_~d {c |}{col 14}{res}{space 2}   .09122{col 26}{space 2}  .032878{col 37}{space 1}    2.77{col 46}{space 3}0.006{col 54}{space 4} .0263583{col 67}{space 3} .1560817
{txt}c_tfull_ed~r {c |}{col 14}{res}{space 2} .0045883{col 26}{space 2} .0016172{col 37}{space 1}    2.84{col 46}{space 3}0.005{col 54}{space 4}  .001398{col 67}{space 3} .0077787
{txt}c_tfull_b_~x {c |}{col 14}{res}{space 2} .0275659{col 26}{space 2} .0086925{col 37}{space 1}    3.17{col 46}{space 3}0.002{col 54}{space 4} .0104174{col 67}{space 3} .0447144
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} .0035564{col 26}{space 2} .0191754{col 37}{space 1}    0.19{col 46}{space 3}0.853{col 54}{space 4}-.0342728{col 67}{space 3} .0413856
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull = .07{p_end}

{txt}       F(  1,   186) ={res}    5.28
{txt}{col 13}Prob > F ={res}    0.0227

{p 0 7}{space 1}{text:( 1)}{space 1} treatfull = -.07{p_end}

{txt}       F(  1,   186) ={res}    7.27
{txt}{col 13}Prob > F ={res}    0.0076
{txt}note: b_commtg_z_d omitted because of collinearity
{res}
{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}     7,288
{txt}{col 49}F({res}   8{txt},{res}    186{txt}){col 67}= {res}     11.69
{txt}{col 49}Prob > F{col 67}= {res}    0.0000
{txt}{col 49}R-squared{col 67}= {res}    0.0961
{txt}{col 49}Adj R-squared{col 67}= {res}    0.0933
{txt}{col 49}Root MSE{col 67}= {res}    0.5588

{txt}{ralign 78:(Std. Err. adjusted for {res:187} clusters in hc_id)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}  e_commtg_z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2} .0055923{col 26}{space 2} .0280309{col 37}{space 1}    0.20{col 46}{space 3}0.842{col 54}{space 4}-.0497072{col 67}{space 3} .0608917
{txt}{space 2}b_commtg_z {c |}{col 14}{res}{space 2} .0757774{col 26}{space 2} .0135575{col 37}{space 1}    5.59{col 46}{space 3}0.000{col 54}{space 4} .0490312{col 67}{space 3} .1025235
{txt}b_commtg_z_d {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 1}c_tfull_hc2 {c |}{col 14}{res}{space 2} .1239928{col 26}{space 2} .0320277{col 37}{space 1}    3.87{col 46}{space 3}0.000{col 54}{space 4} .0608085{col 67}{space 3} .1871772
{txt}c_tfull_b_~l {c |}{col 14}{res}{space 2} .0852744{col 26}{space 2} .0385592{col 37}{space 1}    2.21{col 46}{space 3}0.028{col 54}{space 4} .0092047{col 67}{space 3} .1613441
{txt}c_tfull_b_~s {c |}{col 14}{res}{space 2} .0054989{col 26}{space 2}    .0554{col 37}{space 1}    0.10{col 46}{space 3}0.921{col 54}{space 4}-.1037943{col 67}{space 3} .1147921
{txt}c_tfull_b_~d {c |}{col 14}{res}{space 2}   .09122{col 26}{space 2}  .032878{col 37}{space 1}    2.77{col 46}{space 3}0.006{col 54}{space 4} .0263583{col 67}{space 3} .1560817
{txt}c_tfull_ed~r {c |}{col 14}{res}{space 2} .0045883{col 26}{space 2} .0016172{col 37}{space 1}    2.84{col 46}{space 3}0.005{col 54}{space 4}  .001398{col 67}{space 3} .0077787
{txt}c_tfull_b_~x {c |}{col 14}{res}{space 2} .0275659{col 26}{space 2} .0086925{col 37}{space 1}    3.17{col 46}{space 3}0.002{col 54}{space 4} .0104174{col 67}{space 3} .0447144
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} .0035564{col 26}{space 2} .0191754{col 37}{space 1}    0.19{col 46}{space 3}0.853{col 54}{space 4}-.0342728{col 67}{space 3} .0413856
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull = .071{p_end}

{txt}       F(  1,   186) ={res}    5.44
{txt}{col 13}Prob > F ={res}    0.0207

{p 0 7}{space 1}{text:( 1)}{space 1} treatfull = -.071{p_end}

{txt}       F(  1,   186) ={res}    7.47
{txt}{col 13}Prob > F ={res}    0.0069
{txt}note: b_commtg_z_d omitted because of collinearity
{res}
{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}     7,288
{txt}{col 49}F({res}   8{txt},{res}    186{txt}){col 67}= {res}     11.69
{txt}{col 49}Prob > F{col 67}= {res}    0.0000
{txt}{col 49}R-squared{col 67}= {res}    0.0961
{txt}{col 49}Adj R-squared{col 67}= {res}    0.0933
{txt}{col 49}Root MSE{col 67}= {res}    0.5588

{txt}{ralign 78:(Std. Err. adjusted for {res:187} clusters in hc_id)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}  e_commtg_z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2} .0055923{col 26}{space 2} .0280309{col 37}{space 1}    0.20{col 46}{space 3}0.842{col 54}{space 4}-.0497072{col 67}{space 3} .0608917
{txt}{space 2}b_commtg_z {c |}{col 14}{res}{space 2} .0757774{col 26}{space 2} .0135575{col 37}{space 1}    5.59{col 46}{space 3}0.000{col 54}{space 4} .0490312{col 67}{space 3} .1025235
{txt}b_commtg_z_d {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 1}c_tfull_hc2 {c |}{col 14}{res}{space 2} .1239928{col 26}{space 2} .0320277{col 37}{space 1}    3.87{col 46}{space 3}0.000{col 54}{space 4} .0608085{col 67}{space 3} .1871772
{txt}c_tfull_b_~l {c |}{col 14}{res}{space 2} .0852744{col 26}{space 2} .0385592{col 37}{space 1}    2.21{col 46}{space 3}0.028{col 54}{space 4} .0092047{col 67}{space 3} .1613441
{txt}c_tfull_b_~s {c |}{col 14}{res}{space 2} .0054989{col 26}{space 2}    .0554{col 37}{space 1}    0.10{col 46}{space 3}0.921{col 54}{space 4}-.1037943{col 67}{space 3} .1147921
{txt}c_tfull_b_~d {c |}{col 14}{res}{space 2}   .09122{col 26}{space 2}  .032878{col 37}{space 1}    2.77{col 46}{space 3}0.006{col 54}{space 4} .0263583{col 67}{space 3} .1560817
{txt}c_tfull_ed~r {c |}{col 14}{res}{space 2} .0045883{col 26}{space 2} .0016172{col 37}{space 1}    2.84{col 46}{space 3}0.005{col 54}{space 4}  .001398{col 67}{space 3} .0077787
{txt}c_tfull_b_~x {c |}{col 14}{res}{space 2} .0275659{col 26}{space 2} .0086925{col 37}{space 1}    3.17{col 46}{space 3}0.002{col 54}{space 4} .0104174{col 67}{space 3} .0447144
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} .0035564{col 26}{space 2} .0191754{col 37}{space 1}    0.19{col 46}{space 3}0.853{col 54}{space 4}-.0342728{col 67}{space 3} .0413856
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull = .072{p_end}

{txt}       F(  1,   186) ={res}    5.61
{txt}{col 13}Prob > F ={res}    0.0189

{p 0 7}{space 1}{text:( 1)}{space 1} treatfull = -.072{p_end}

{txt}       F(  1,   186) ={res}    7.66
{txt}{col 13}Prob > F ={res}    0.0062
{txt}note: b_commtg_z_d omitted because of collinearity
{res}
{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}     7,288
{txt}{col 49}F({res}   8{txt},{res}    186{txt}){col 67}= {res}     11.69
{txt}{col 49}Prob > F{col 67}= {res}    0.0000
{txt}{col 49}R-squared{col 67}= {res}    0.0961
{txt}{col 49}Adj R-squared{col 67}= {res}    0.0933
{txt}{col 49}Root MSE{col 67}= {res}    0.5588

{txt}{ralign 78:(Std. Err. adjusted for {res:187} clusters in hc_id)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}  e_commtg_z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2} .0055923{col 26}{space 2} .0280309{col 37}{space 1}    0.20{col 46}{space 3}0.842{col 54}{space 4}-.0497072{col 67}{space 3} .0608917
{txt}{space 2}b_commtg_z {c |}{col 14}{res}{space 2} .0757774{col 26}{space 2} .0135575{col 37}{space 1}    5.59{col 46}{space 3}0.000{col 54}{space 4} .0490312{col 67}{space 3} .1025235
{txt}b_commtg_z_d {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 1}c_tfull_hc2 {c |}{col 14}{res}{space 2} .1239928{col 26}{space 2} .0320277{col 37}{space 1}    3.87{col 46}{space 3}0.000{col 54}{space 4} .0608085{col 67}{space 3} .1871772
{txt}c_tfull_b_~l {c |}{col 14}{res}{space 2} .0852744{col 26}{space 2} .0385592{col 37}{space 1}    2.21{col 46}{space 3}0.028{col 54}{space 4} .0092047{col 67}{space 3} .1613441
{txt}c_tfull_b_~s {c |}{col 14}{res}{space 2} .0054989{col 26}{space 2}    .0554{col 37}{space 1}    0.10{col 46}{space 3}0.921{col 54}{space 4}-.1037943{col 67}{space 3} .1147921
{txt}c_tfull_b_~d {c |}{col 14}{res}{space 2}   .09122{col 26}{space 2}  .032878{col 37}{space 1}    2.77{col 46}{space 3}0.006{col 54}{space 4} .0263583{col 67}{space 3} .1560817
{txt}c_tfull_ed~r {c |}{col 14}{res}{space 2} .0045883{col 26}{space 2} .0016172{col 37}{space 1}    2.84{col 46}{space 3}0.005{col 54}{space 4}  .001398{col 67}{space 3} .0077787
{txt}c_tfull_b_~x {c |}{col 14}{res}{space 2} .0275659{col 26}{space 2} .0086925{col 37}{space 1}    3.17{col 46}{space 3}0.002{col 54}{space 4} .0104174{col 67}{space 3} .0447144
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} .0035564{col 26}{space 2} .0191754{col 37}{space 1}    0.19{col 46}{space 3}0.853{col 54}{space 4}-.0342728{col 67}{space 3} .0413856
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull = .073{p_end}

{txt}       F(  1,   186) ={res}    5.78
{txt}{col 13}Prob > F ={res}    0.0172

{p 0 7}{space 1}{text:( 1)}{space 1} treatfull = -.073{p_end}

{txt}       F(  1,   186) ={res}    7.86
{txt}{col 13}Prob > F ={res}    0.0056
{txt}note: b_commtg_z_d omitted because of collinearity
{res}
{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}     7,288
{txt}{col 49}F({res}   8{txt},{res}    186{txt}){col 67}= {res}     11.69
{txt}{col 49}Prob > F{col 67}= {res}    0.0000
{txt}{col 49}R-squared{col 67}= {res}    0.0961
{txt}{col 49}Adj R-squared{col 67}= {res}    0.0933
{txt}{col 49}Root MSE{col 67}= {res}    0.5588

{txt}{ralign 78:(Std. Err. adjusted for {res:187} clusters in hc_id)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}  e_commtg_z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2} .0055923{col 26}{space 2} .0280309{col 37}{space 1}    0.20{col 46}{space 3}0.842{col 54}{space 4}-.0497072{col 67}{space 3} .0608917
{txt}{space 2}b_commtg_z {c |}{col 14}{res}{space 2} .0757774{col 26}{space 2} .0135575{col 37}{space 1}    5.59{col 46}{space 3}0.000{col 54}{space 4} .0490312{col 67}{space 3} .1025235
{txt}b_commtg_z_d {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 1}c_tfull_hc2 {c |}{col 14}{res}{space 2} .1239928{col 26}{space 2} .0320277{col 37}{space 1}    3.87{col 46}{space 3}0.000{col 54}{space 4} .0608085{col 67}{space 3} .1871772
{txt}c_tfull_b_~l {c |}{col 14}{res}{space 2} .0852744{col 26}{space 2} .0385592{col 37}{space 1}    2.21{col 46}{space 3}0.028{col 54}{space 4} .0092047{col 67}{space 3} .1613441
{txt}c_tfull_b_~s {c |}{col 14}{res}{space 2} .0054989{col 26}{space 2}    .0554{col 37}{space 1}    0.10{col 46}{space 3}0.921{col 54}{space 4}-.1037943{col 67}{space 3} .1147921
{txt}c_tfull_b_~d {c |}{col 14}{res}{space 2}   .09122{col 26}{space 2}  .032878{col 37}{space 1}    2.77{col 46}{space 3}0.006{col 54}{space 4} .0263583{col 67}{space 3} .1560817
{txt}c_tfull_ed~r {c |}{col 14}{res}{space 2} .0045883{col 26}{space 2} .0016172{col 37}{space 1}    2.84{col 46}{space 3}0.005{col 54}{space 4}  .001398{col 67}{space 3} .0077787
{txt}c_tfull_b_~x {c |}{col 14}{res}{space 2} .0275659{col 26}{space 2} .0086925{col 37}{space 1}    3.17{col 46}{space 3}0.002{col 54}{space 4} .0104174{col 67}{space 3} .0447144
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} .0035564{col 26}{space 2} .0191754{col 37}{space 1}    0.19{col 46}{space 3}0.853{col 54}{space 4}-.0342728{col 67}{space 3} .0413856
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull = .074{p_end}

{txt}       F(  1,   186) ={res}    5.96
{txt}{col 13}Prob > F ={res}    0.0156

{p 0 7}{space 1}{text:( 1)}{space 1} treatfull = -.074{p_end}

{txt}       F(  1,   186) ={res}    8.06
{txt}{col 13}Prob > F ={res}    0.0050
{txt}note: b_commtg_z_d omitted because of collinearity
{res}
{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}     7,288
{txt}{col 49}F({res}   8{txt},{res}    186{txt}){col 67}= {res}     11.69
{txt}{col 49}Prob > F{col 67}= {res}    0.0000
{txt}{col 49}R-squared{col 67}= {res}    0.0961
{txt}{col 49}Adj R-squared{col 67}= {res}    0.0933
{txt}{col 49}Root MSE{col 67}= {res}    0.5588

{txt}{ralign 78:(Std. Err. adjusted for {res:187} clusters in hc_id)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}  e_commtg_z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2} .0055923{col 26}{space 2} .0280309{col 37}{space 1}    0.20{col 46}{space 3}0.842{col 54}{space 4}-.0497072{col 67}{space 3} .0608917
{txt}{space 2}b_commtg_z {c |}{col 14}{res}{space 2} .0757774{col 26}{space 2} .0135575{col 37}{space 1}    5.59{col 46}{space 3}0.000{col 54}{space 4} .0490312{col 67}{space 3} .1025235
{txt}b_commtg_z_d {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 1}c_tfull_hc2 {c |}{col 14}{res}{space 2} .1239928{col 26}{space 2} .0320277{col 37}{space 1}    3.87{col 46}{space 3}0.000{col 54}{space 4} .0608085{col 67}{space 3} .1871772
{txt}c_tfull_b_~l {c |}{col 14}{res}{space 2} .0852744{col 26}{space 2} .0385592{col 37}{space 1}    2.21{col 46}{space 3}0.028{col 54}{space 4} .0092047{col 67}{space 3} .1613441
{txt}c_tfull_b_~s {c |}{col 14}{res}{space 2} .0054989{col 26}{space 2}    .0554{col 37}{space 1}    0.10{col 46}{space 3}0.921{col 54}{space 4}-.1037943{col 67}{space 3} .1147921
{txt}c_tfull_b_~d {c |}{col 14}{res}{space 2}   .09122{col 26}{space 2}  .032878{col 37}{space 1}    2.77{col 46}{space 3}0.006{col 54}{space 4} .0263583{col 67}{space 3} .1560817
{txt}c_tfull_ed~r {c |}{col 14}{res}{space 2} .0045883{col 26}{space 2} .0016172{col 37}{space 1}    2.84{col 46}{space 3}0.005{col 54}{space 4}  .001398{col 67}{space 3} .0077787
{txt}c_tfull_b_~x {c |}{col 14}{res}{space 2} .0275659{col 26}{space 2} .0086925{col 37}{space 1}    3.17{col 46}{space 3}0.002{col 54}{space 4} .0104174{col 67}{space 3} .0447144
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} .0035564{col 26}{space 2} .0191754{col 37}{space 1}    0.19{col 46}{space 3}0.853{col 54}{space 4}-.0342728{col 67}{space 3} .0413856
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull = .075{p_end}

{txt}       F(  1,   186) ={res}    6.13
{txt}{col 13}Prob > F ={res}    0.0142

{p 0 7}{space 1}{text:( 1)}{space 1} treatfull = -.075{p_end}

{txt}       F(  1,   186) ={res}    8.27
{txt}{col 13}Prob > F ={res}    0.0045
{txt}note: b_commtg_z_d omitted because of collinearity
{res}
{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}     7,288
{txt}{col 49}F({res}   8{txt},{res}    186{txt}){col 67}= {res}     11.69
{txt}{col 49}Prob > F{col 67}= {res}    0.0000
{txt}{col 49}R-squared{col 67}= {res}    0.0961
{txt}{col 49}Adj R-squared{col 67}= {res}    0.0933
{txt}{col 49}Root MSE{col 67}= {res}    0.5588

{txt}{ralign 78:(Std. Err. adjusted for {res:187} clusters in hc_id)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}  e_commtg_z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2} .0055923{col 26}{space 2} .0280309{col 37}{space 1}    0.20{col 46}{space 3}0.842{col 54}{space 4}-.0497072{col 67}{space 3} .0608917
{txt}{space 2}b_commtg_z {c |}{col 14}{res}{space 2} .0757774{col 26}{space 2} .0135575{col 37}{space 1}    5.59{col 46}{space 3}0.000{col 54}{space 4} .0490312{col 67}{space 3} .1025235
{txt}b_commtg_z_d {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 1}c_tfull_hc2 {c |}{col 14}{res}{space 2} .1239928{col 26}{space 2} .0320277{col 37}{space 1}    3.87{col 46}{space 3}0.000{col 54}{space 4} .0608085{col 67}{space 3} .1871772
{txt}c_tfull_b_~l {c |}{col 14}{res}{space 2} .0852744{col 26}{space 2} .0385592{col 37}{space 1}    2.21{col 46}{space 3}0.028{col 54}{space 4} .0092047{col 67}{space 3} .1613441
{txt}c_tfull_b_~s {c |}{col 14}{res}{space 2} .0054989{col 26}{space 2}    .0554{col 37}{space 1}    0.10{col 46}{space 3}0.921{col 54}{space 4}-.1037943{col 67}{space 3} .1147921
{txt}c_tfull_b_~d {c |}{col 14}{res}{space 2}   .09122{col 26}{space 2}  .032878{col 37}{space 1}    2.77{col 46}{space 3}0.006{col 54}{space 4} .0263583{col 67}{space 3} .1560817
{txt}c_tfull_ed~r {c |}{col 14}{res}{space 2} .0045883{col 26}{space 2} .0016172{col 37}{space 1}    2.84{col 46}{space 3}0.005{col 54}{space 4}  .001398{col 67}{space 3} .0077787
{txt}c_tfull_b_~x {c |}{col 14}{res}{space 2} .0275659{col 26}{space 2} .0086925{col 37}{space 1}    3.17{col 46}{space 3}0.002{col 54}{space 4} .0104174{col 67}{space 3} .0447144
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} .0035564{col 26}{space 2} .0191754{col 37}{space 1}    0.19{col 46}{space 3}0.853{col 54}{space 4}-.0342728{col 67}{space 3} .0413856
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull = .076{p_end}

{txt}       F(  1,   186) ={res}    6.31
{txt}{col 13}Prob > F ={res}    0.0129

{p 0 7}{space 1}{text:( 1)}{space 1} treatfull = -.076{p_end}

{txt}       F(  1,   186) ={res}    8.47
{txt}{col 13}Prob > F ={res}    0.0040
{txt}note: b_commtg_z_d omitted because of collinearity
{res}
{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}     7,288
{txt}{col 49}F({res}   8{txt},{res}    186{txt}){col 67}= {res}     11.69
{txt}{col 49}Prob > F{col 67}= {res}    0.0000
{txt}{col 49}R-squared{col 67}= {res}    0.0961
{txt}{col 49}Adj R-squared{col 67}= {res}    0.0933
{txt}{col 49}Root MSE{col 67}= {res}    0.5588

{txt}{ralign 78:(Std. Err. adjusted for {res:187} clusters in hc_id)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}  e_commtg_z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2} .0055923{col 26}{space 2} .0280309{col 37}{space 1}    0.20{col 46}{space 3}0.842{col 54}{space 4}-.0497072{col 67}{space 3} .0608917
{txt}{space 2}b_commtg_z {c |}{col 14}{res}{space 2} .0757774{col 26}{space 2} .0135575{col 37}{space 1}    5.59{col 46}{space 3}0.000{col 54}{space 4} .0490312{col 67}{space 3} .1025235
{txt}b_commtg_z_d {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 1}c_tfull_hc2 {c |}{col 14}{res}{space 2} .1239928{col 26}{space 2} .0320277{col 37}{space 1}    3.87{col 46}{space 3}0.000{col 54}{space 4} .0608085{col 67}{space 3} .1871772
{txt}c_tfull_b_~l {c |}{col 14}{res}{space 2} .0852744{col 26}{space 2} .0385592{col 37}{space 1}    2.21{col 46}{space 3}0.028{col 54}{space 4} .0092047{col 67}{space 3} .1613441
{txt}c_tfull_b_~s {c |}{col 14}{res}{space 2} .0054989{col 26}{space 2}    .0554{col 37}{space 1}    0.10{col 46}{space 3}0.921{col 54}{space 4}-.1037943{col 67}{space 3} .1147921
{txt}c_tfull_b_~d {c |}{col 14}{res}{space 2}   .09122{col 26}{space 2}  .032878{col 37}{space 1}    2.77{col 46}{space 3}0.006{col 54}{space 4} .0263583{col 67}{space 3} .1560817
{txt}c_tfull_ed~r {c |}{col 14}{res}{space 2} .0045883{col 26}{space 2} .0016172{col 37}{space 1}    2.84{col 46}{space 3}0.005{col 54}{space 4}  .001398{col 67}{space 3} .0077787
{txt}c_tfull_b_~x {c |}{col 14}{res}{space 2} .0275659{col 26}{space 2} .0086925{col 37}{space 1}    3.17{col 46}{space 3}0.002{col 54}{space 4} .0104174{col 67}{space 3} .0447144
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} .0035564{col 26}{space 2} .0191754{col 37}{space 1}    0.19{col 46}{space 3}0.853{col 54}{space 4}-.0342728{col 67}{space 3} .0413856
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull = .077{p_end}

{txt}       F(  1,   186) ={res}    6.49
{txt}{col 13}Prob > F ={res}    0.0117

{p 0 7}{space 1}{text:( 1)}{space 1} treatfull = -.077{p_end}

{txt}       F(  1,   186) ={res}    8.68
{txt}{col 13}Prob > F ={res}    0.0036
{txt}note: b_commtg_z_d omitted because of collinearity
{res}
{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}     7,288
{txt}{col 49}F({res}   8{txt},{res}    186{txt}){col 67}= {res}     11.69
{txt}{col 49}Prob > F{col 67}= {res}    0.0000
{txt}{col 49}R-squared{col 67}= {res}    0.0961
{txt}{col 49}Adj R-squared{col 67}= {res}    0.0933
{txt}{col 49}Root MSE{col 67}= {res}    0.5588

{txt}{ralign 78:(Std. Err. adjusted for {res:187} clusters in hc_id)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}  e_commtg_z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2} .0055923{col 26}{space 2} .0280309{col 37}{space 1}    0.20{col 46}{space 3}0.842{col 54}{space 4}-.0497072{col 67}{space 3} .0608917
{txt}{space 2}b_commtg_z {c |}{col 14}{res}{space 2} .0757774{col 26}{space 2} .0135575{col 37}{space 1}    5.59{col 46}{space 3}0.000{col 54}{space 4} .0490312{col 67}{space 3} .1025235
{txt}b_commtg_z_d {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 1}c_tfull_hc2 {c |}{col 14}{res}{space 2} .1239928{col 26}{space 2} .0320277{col 37}{space 1}    3.87{col 46}{space 3}0.000{col 54}{space 4} .0608085{col 67}{space 3} .1871772
{txt}c_tfull_b_~l {c |}{col 14}{res}{space 2} .0852744{col 26}{space 2} .0385592{col 37}{space 1}    2.21{col 46}{space 3}0.028{col 54}{space 4} .0092047{col 67}{space 3} .1613441
{txt}c_tfull_b_~s {c |}{col 14}{res}{space 2} .0054989{col 26}{space 2}    .0554{col 37}{space 1}    0.10{col 46}{space 3}0.921{col 54}{space 4}-.1037943{col 67}{space 3} .1147921
{txt}c_tfull_b_~d {c |}{col 14}{res}{space 2}   .09122{col 26}{space 2}  .032878{col 37}{space 1}    2.77{col 46}{space 3}0.006{col 54}{space 4} .0263583{col 67}{space 3} .1560817
{txt}c_tfull_ed~r {c |}{col 14}{res}{space 2} .0045883{col 26}{space 2} .0016172{col 37}{space 1}    2.84{col 46}{space 3}0.005{col 54}{space 4}  .001398{col 67}{space 3} .0077787
{txt}c_tfull_b_~x {c |}{col 14}{res}{space 2} .0275659{col 26}{space 2} .0086925{col 37}{space 1}    3.17{col 46}{space 3}0.002{col 54}{space 4} .0104174{col 67}{space 3} .0447144
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} .0035564{col 26}{space 2} .0191754{col 37}{space 1}    0.19{col 46}{space 3}0.853{col 54}{space 4}-.0342728{col 67}{space 3} .0413856
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull = .078{p_end}

{txt}       F(  1,   186) ={res}    6.67
{txt}{col 13}Prob > F ={res}    0.0106

{p 0 7}{space 1}{text:( 1)}{space 1} treatfull = -.078{p_end}

{txt}       F(  1,   186) ={res}    8.89
{txt}{col 13}Prob > F ={res}    0.0032
{txt}note: b_commtg_z_d omitted because of collinearity
{res}
{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}     7,288
{txt}{col 49}F({res}   8{txt},{res}    186{txt}){col 67}= {res}     11.69
{txt}{col 49}Prob > F{col 67}= {res}    0.0000
{txt}{col 49}R-squared{col 67}= {res}    0.0961
{txt}{col 49}Adj R-squared{col 67}= {res}    0.0933
{txt}{col 49}Root MSE{col 67}= {res}    0.5588

{txt}{ralign 78:(Std. Err. adjusted for {res:187} clusters in hc_id)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}  e_commtg_z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2} .0055923{col 26}{space 2} .0280309{col 37}{space 1}    0.20{col 46}{space 3}0.842{col 54}{space 4}-.0497072{col 67}{space 3} .0608917
{txt}{space 2}b_commtg_z {c |}{col 14}{res}{space 2} .0757774{col 26}{space 2} .0135575{col 37}{space 1}    5.59{col 46}{space 3}0.000{col 54}{space 4} .0490312{col 67}{space 3} .1025235
{txt}b_commtg_z_d {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 1}c_tfull_hc2 {c |}{col 14}{res}{space 2} .1239928{col 26}{space 2} .0320277{col 37}{space 1}    3.87{col 46}{space 3}0.000{col 54}{space 4} .0608085{col 67}{space 3} .1871772
{txt}c_tfull_b_~l {c |}{col 14}{res}{space 2} .0852744{col 26}{space 2} .0385592{col 37}{space 1}    2.21{col 46}{space 3}0.028{col 54}{space 4} .0092047{col 67}{space 3} .1613441
{txt}c_tfull_b_~s {c |}{col 14}{res}{space 2} .0054989{col 26}{space 2}    .0554{col 37}{space 1}    0.10{col 46}{space 3}0.921{col 54}{space 4}-.1037943{col 67}{space 3} .1147921
{txt}c_tfull_b_~d {c |}{col 14}{res}{space 2}   .09122{col 26}{space 2}  .032878{col 37}{space 1}    2.77{col 46}{space 3}0.006{col 54}{space 4} .0263583{col 67}{space 3} .1560817
{txt}c_tfull_ed~r {c |}{col 14}{res}{space 2} .0045883{col 26}{space 2} .0016172{col 37}{space 1}    2.84{col 46}{space 3}0.005{col 54}{space 4}  .001398{col 67}{space 3} .0077787
{txt}c_tfull_b_~x {c |}{col 14}{res}{space 2} .0275659{col 26}{space 2} .0086925{col 37}{space 1}    3.17{col 46}{space 3}0.002{col 54}{space 4} .0104174{col 67}{space 3} .0447144
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} .0035564{col 26}{space 2} .0191754{col 37}{space 1}    0.19{col 46}{space 3}0.853{col 54}{space 4}-.0342728{col 67}{space 3} .0413856
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull = .079{p_end}

{txt}       F(  1,   186) ={res}    6.86
{txt}{col 13}Prob > F ={res}    0.0096

{p 0 7}{space 1}{text:( 1)}{space 1} treatfull = -.079{p_end}

{txt}       F(  1,   186) ={res}    9.11
{txt}{col 13}Prob > F ={res}    0.0029
{txt}note: b_commtg_z_d omitted because of collinearity
{res}
{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}     7,288
{txt}{col 49}F({res}   8{txt},{res}    186{txt}){col 67}= {res}     11.69
{txt}{col 49}Prob > F{col 67}= {res}    0.0000
{txt}{col 49}R-squared{col 67}= {res}    0.0961
{txt}{col 49}Adj R-squared{col 67}= {res}    0.0933
{txt}{col 49}Root MSE{col 67}= {res}    0.5588

{txt}{ralign 78:(Std. Err. adjusted for {res:187} clusters in hc_id)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}  e_commtg_z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2} .0055923{col 26}{space 2} .0280309{col 37}{space 1}    0.20{col 46}{space 3}0.842{col 54}{space 4}-.0497072{col 67}{space 3} .0608917
{txt}{space 2}b_commtg_z {c |}{col 14}{res}{space 2} .0757774{col 26}{space 2} .0135575{col 37}{space 1}    5.59{col 46}{space 3}0.000{col 54}{space 4} .0490312{col 67}{space 3} .1025235
{txt}b_commtg_z_d {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 1}c_tfull_hc2 {c |}{col 14}{res}{space 2} .1239928{col 26}{space 2} .0320277{col 37}{space 1}    3.87{col 46}{space 3}0.000{col 54}{space 4} .0608085{col 67}{space 3} .1871772
{txt}c_tfull_b_~l {c |}{col 14}{res}{space 2} .0852744{col 26}{space 2} .0385592{col 37}{space 1}    2.21{col 46}{space 3}0.028{col 54}{space 4} .0092047{col 67}{space 3} .1613441
{txt}c_tfull_b_~s {c |}{col 14}{res}{space 2} .0054989{col 26}{space 2}    .0554{col 37}{space 1}    0.10{col 46}{space 3}0.921{col 54}{space 4}-.1037943{col 67}{space 3} .1147921
{txt}c_tfull_b_~d {c |}{col 14}{res}{space 2}   .09122{col 26}{space 2}  .032878{col 37}{space 1}    2.77{col 46}{space 3}0.006{col 54}{space 4} .0263583{col 67}{space 3} .1560817
{txt}c_tfull_ed~r {c |}{col 14}{res}{space 2} .0045883{col 26}{space 2} .0016172{col 37}{space 1}    2.84{col 46}{space 3}0.005{col 54}{space 4}  .001398{col 67}{space 3} .0077787
{txt}c_tfull_b_~x {c |}{col 14}{res}{space 2} .0275659{col 26}{space 2} .0086925{col 37}{space 1}    3.17{col 46}{space 3}0.002{col 54}{space 4} .0104174{col 67}{space 3} .0447144
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} .0035564{col 26}{space 2} .0191754{col 37}{space 1}    0.19{col 46}{space 3}0.853{col 54}{space 4}-.0342728{col 67}{space 3} .0413856
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull = .08{p_end}

{txt}       F(  1,   186) ={res}    7.05
{txt}{col 13}Prob > F ={res}    0.0086

{p 0 7}{space 1}{text:( 1)}{space 1} treatfull = -.08{p_end}

{txt}       F(  1,   186) ={res}    9.32
{txt}{col 13}Prob > F ={res}    0.0026
{txt}note: b_commtg_z_d omitted because of collinearity
{res}
{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}     7,288
{txt}{col 49}F({res}   8{txt},{res}    186{txt}){col 67}= {res}     11.69
{txt}{col 49}Prob > F{col 67}= {res}    0.0000
{txt}{col 49}R-squared{col 67}= {res}    0.0961
{txt}{col 49}Adj R-squared{col 67}= {res}    0.0933
{txt}{col 49}Root MSE{col 67}= {res}    0.5588

{txt}{ralign 78:(Std. Err. adjusted for {res:187} clusters in hc_id)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}  e_commtg_z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2} .0055923{col 26}{space 2} .0280309{col 37}{space 1}    0.20{col 46}{space 3}0.842{col 54}{space 4}-.0497072{col 67}{space 3} .0608917
{txt}{space 2}b_commtg_z {c |}{col 14}{res}{space 2} .0757774{col 26}{space 2} .0135575{col 37}{space 1}    5.59{col 46}{space 3}0.000{col 54}{space 4} .0490312{col 67}{space 3} .1025235
{txt}b_commtg_z_d {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 1}c_tfull_hc2 {c |}{col 14}{res}{space 2} .1239928{col 26}{space 2} .0320277{col 37}{space 1}    3.87{col 46}{space 3}0.000{col 54}{space 4} .0608085{col 67}{space 3} .1871772
{txt}c_tfull_b_~l {c |}{col 14}{res}{space 2} .0852744{col 26}{space 2} .0385592{col 37}{space 1}    2.21{col 46}{space 3}0.028{col 54}{space 4} .0092047{col 67}{space 3} .1613441
{txt}c_tfull_b_~s {c |}{col 14}{res}{space 2} .0054989{col 26}{space 2}    .0554{col 37}{space 1}    0.10{col 46}{space 3}0.921{col 54}{space 4}-.1037943{col 67}{space 3} .1147921
{txt}c_tfull_b_~d {c |}{col 14}{res}{space 2}   .09122{col 26}{space 2}  .032878{col 37}{space 1}    2.77{col 46}{space 3}0.006{col 54}{space 4} .0263583{col 67}{space 3} .1560817
{txt}c_tfull_ed~r {c |}{col 14}{res}{space 2} .0045883{col 26}{space 2} .0016172{col 37}{space 1}    2.84{col 46}{space 3}0.005{col 54}{space 4}  .001398{col 67}{space 3} .0077787
{txt}c_tfull_b_~x {c |}{col 14}{res}{space 2} .0275659{col 26}{space 2} .0086925{col 37}{space 1}    3.17{col 46}{space 3}0.002{col 54}{space 4} .0104174{col 67}{space 3} .0447144
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} .0035564{col 26}{space 2} .0191754{col 37}{space 1}    0.19{col 46}{space 3}0.853{col 54}{space 4}-.0342728{col 67}{space 3} .0413856
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull = .081{p_end}

{txt}       F(  1,   186) ={res}    7.24
{txt}{col 13}Prob > F ={res}    0.0078

{p 0 7}{space 1}{text:( 1)}{space 1} treatfull = -.081{p_end}

{txt}       F(  1,   186) ={res}    9.54
{txt}{col 13}Prob > F ={res}    0.0023
{txt}note: b_commtg_z_d omitted because of collinearity
{res}
{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}     7,288
{txt}{col 49}F({res}   8{txt},{res}    186{txt}){col 67}= {res}     11.69
{txt}{col 49}Prob > F{col 67}= {res}    0.0000
{txt}{col 49}R-squared{col 67}= {res}    0.0961
{txt}{col 49}Adj R-squared{col 67}= {res}    0.0933
{txt}{col 49}Root MSE{col 67}= {res}    0.5588

{txt}{ralign 78:(Std. Err. adjusted for {res:187} clusters in hc_id)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}  e_commtg_z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2} .0055923{col 26}{space 2} .0280309{col 37}{space 1}    0.20{col 46}{space 3}0.842{col 54}{space 4}-.0497072{col 67}{space 3} .0608917
{txt}{space 2}b_commtg_z {c |}{col 14}{res}{space 2} .0757774{col 26}{space 2} .0135575{col 37}{space 1}    5.59{col 46}{space 3}0.000{col 54}{space 4} .0490312{col 67}{space 3} .1025235
{txt}b_commtg_z_d {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 1}c_tfull_hc2 {c |}{col 14}{res}{space 2} .1239928{col 26}{space 2} .0320277{col 37}{space 1}    3.87{col 46}{space 3}0.000{col 54}{space 4} .0608085{col 67}{space 3} .1871772
{txt}c_tfull_b_~l {c |}{col 14}{res}{space 2} .0852744{col 26}{space 2} .0385592{col 37}{space 1}    2.21{col 46}{space 3}0.028{col 54}{space 4} .0092047{col 67}{space 3} .1613441
{txt}c_tfull_b_~s {c |}{col 14}{res}{space 2} .0054989{col 26}{space 2}    .0554{col 37}{space 1}    0.10{col 46}{space 3}0.921{col 54}{space 4}-.1037943{col 67}{space 3} .1147921
{txt}c_tfull_b_~d {c |}{col 14}{res}{space 2}   .09122{col 26}{space 2}  .032878{col 37}{space 1}    2.77{col 46}{space 3}0.006{col 54}{space 4} .0263583{col 67}{space 3} .1560817
{txt}c_tfull_ed~r {c |}{col 14}{res}{space 2} .0045883{col 26}{space 2} .0016172{col 37}{space 1}    2.84{col 46}{space 3}0.005{col 54}{space 4}  .001398{col 67}{space 3} .0077787
{txt}c_tfull_b_~x {c |}{col 14}{res}{space 2} .0275659{col 26}{space 2} .0086925{col 37}{space 1}    3.17{col 46}{space 3}0.002{col 54}{space 4} .0104174{col 67}{space 3} .0447144
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} .0035564{col 26}{space 2} .0191754{col 37}{space 1}    0.19{col 46}{space 3}0.853{col 54}{space 4}-.0342728{col 67}{space 3} .0413856
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull = .082{p_end}

{txt}       F(  1,   186) ={res}    7.43
{txt}{col 13}Prob > F ={res}    0.0070

{p 0 7}{space 1}{text:( 1)}{space 1} treatfull = -.082{p_end}

{txt}       F(  1,   186) ={res}    9.76
{txt}{col 13}Prob > F ={res}    0.0021
{txt}note: b_commtg_z_d omitted because of collinearity
{res}
{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}     7,288
{txt}{col 49}F({res}   8{txt},{res}    186{txt}){col 67}= {res}     11.69
{txt}{col 49}Prob > F{col 67}= {res}    0.0000
{txt}{col 49}R-squared{col 67}= {res}    0.0961
{txt}{col 49}Adj R-squared{col 67}= {res}    0.0933
{txt}{col 49}Root MSE{col 67}= {res}    0.5588

{txt}{ralign 78:(Std. Err. adjusted for {res:187} clusters in hc_id)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}  e_commtg_z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2} .0055923{col 26}{space 2} .0280309{col 37}{space 1}    0.20{col 46}{space 3}0.842{col 54}{space 4}-.0497072{col 67}{space 3} .0608917
{txt}{space 2}b_commtg_z {c |}{col 14}{res}{space 2} .0757774{col 26}{space 2} .0135575{col 37}{space 1}    5.59{col 46}{space 3}0.000{col 54}{space 4} .0490312{col 67}{space 3} .1025235
{txt}b_commtg_z_d {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 1}c_tfull_hc2 {c |}{col 14}{res}{space 2} .1239928{col 26}{space 2} .0320277{col 37}{space 1}    3.87{col 46}{space 3}0.000{col 54}{space 4} .0608085{col 67}{space 3} .1871772
{txt}c_tfull_b_~l {c |}{col 14}{res}{space 2} .0852744{col 26}{space 2} .0385592{col 37}{space 1}    2.21{col 46}{space 3}0.028{col 54}{space 4} .0092047{col 67}{space 3} .1613441
{txt}c_tfull_b_~s {c |}{col 14}{res}{space 2} .0054989{col 26}{space 2}    .0554{col 37}{space 1}    0.10{col 46}{space 3}0.921{col 54}{space 4}-.1037943{col 67}{space 3} .1147921
{txt}c_tfull_b_~d {c |}{col 14}{res}{space 2}   .09122{col 26}{space 2}  .032878{col 37}{space 1}    2.77{col 46}{space 3}0.006{col 54}{space 4} .0263583{col 67}{space 3} .1560817
{txt}c_tfull_ed~r {c |}{col 14}{res}{space 2} .0045883{col 26}{space 2} .0016172{col 37}{space 1}    2.84{col 46}{space 3}0.005{col 54}{space 4}  .001398{col 67}{space 3} .0077787
{txt}c_tfull_b_~x {c |}{col 14}{res}{space 2} .0275659{col 26}{space 2} .0086925{col 37}{space 1}    3.17{col 46}{space 3}0.002{col 54}{space 4} .0104174{col 67}{space 3} .0447144
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} .0035564{col 26}{space 2} .0191754{col 37}{space 1}    0.19{col 46}{space 3}0.853{col 54}{space 4}-.0342728{col 67}{space 3} .0413856
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull = .083{p_end}

{txt}       F(  1,   186) ={res}    7.63
{txt}{col 13}Prob > F ={res}    0.0063

{p 0 7}{space 1}{text:( 1)}{space 1} treatfull = -.083{p_end}

{txt}       F(  1,   186) ={res}    9.99
{txt}{col 13}Prob > F ={res}    0.0018
{txt}note: b_commtg_z_d omitted because of collinearity
{res}
{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}     7,288
{txt}{col 49}F({res}   8{txt},{res}    186{txt}){col 67}= {res}     11.69
{txt}{col 49}Prob > F{col 67}= {res}    0.0000
{txt}{col 49}R-squared{col 67}= {res}    0.0961
{txt}{col 49}Adj R-squared{col 67}= {res}    0.0933
{txt}{col 49}Root MSE{col 67}= {res}    0.5588

{txt}{ralign 78:(Std. Err. adjusted for {res:187} clusters in hc_id)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}  e_commtg_z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2} .0055923{col 26}{space 2} .0280309{col 37}{space 1}    0.20{col 46}{space 3}0.842{col 54}{space 4}-.0497072{col 67}{space 3} .0608917
{txt}{space 2}b_commtg_z {c |}{col 14}{res}{space 2} .0757774{col 26}{space 2} .0135575{col 37}{space 1}    5.59{col 46}{space 3}0.000{col 54}{space 4} .0490312{col 67}{space 3} .1025235
{txt}b_commtg_z_d {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 1}c_tfull_hc2 {c |}{col 14}{res}{space 2} .1239928{col 26}{space 2} .0320277{col 37}{space 1}    3.87{col 46}{space 3}0.000{col 54}{space 4} .0608085{col 67}{space 3} .1871772
{txt}c_tfull_b_~l {c |}{col 14}{res}{space 2} .0852744{col 26}{space 2} .0385592{col 37}{space 1}    2.21{col 46}{space 3}0.028{col 54}{space 4} .0092047{col 67}{space 3} .1613441
{txt}c_tfull_b_~s {c |}{col 14}{res}{space 2} .0054989{col 26}{space 2}    .0554{col 37}{space 1}    0.10{col 46}{space 3}0.921{col 54}{space 4}-.1037943{col 67}{space 3} .1147921
{txt}c_tfull_b_~d {c |}{col 14}{res}{space 2}   .09122{col 26}{space 2}  .032878{col 37}{space 1}    2.77{col 46}{space 3}0.006{col 54}{space 4} .0263583{col 67}{space 3} .1560817
{txt}c_tfull_ed~r {c |}{col 14}{res}{space 2} .0045883{col 26}{space 2} .0016172{col 37}{space 1}    2.84{col 46}{space 3}0.005{col 54}{space 4}  .001398{col 67}{space 3} .0077787
{txt}c_tfull_b_~x {c |}{col 14}{res}{space 2} .0275659{col 26}{space 2} .0086925{col 37}{space 1}    3.17{col 46}{space 3}0.002{col 54}{space 4} .0104174{col 67}{space 3} .0447144
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} .0035564{col 26}{space 2} .0191754{col 37}{space 1}    0.19{col 46}{space 3}0.853{col 54}{space 4}-.0342728{col 67}{space 3} .0413856
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull = .084{p_end}

{txt}       F(  1,   186) ={res}    7.82
{txt}{col 13}Prob > F ={res}    0.0057

{p 0 7}{space 1}{text:( 1)}{space 1} treatfull = -.084{p_end}

{txt}       F(  1,   186) ={res}   10.22
{txt}{col 13}Prob > F ={res}    0.0016
{txt}note: b_commtg_z_d omitted because of collinearity
{res}
{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}     7,288
{txt}{col 49}F({res}   8{txt},{res}    186{txt}){col 67}= {res}     11.69
{txt}{col 49}Prob > F{col 67}= {res}    0.0000
{txt}{col 49}R-squared{col 67}= {res}    0.0961
{txt}{col 49}Adj R-squared{col 67}= {res}    0.0933
{txt}{col 49}Root MSE{col 67}= {res}    0.5588

{txt}{ralign 78:(Std. Err. adjusted for {res:187} clusters in hc_id)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}  e_commtg_z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2} .0055923{col 26}{space 2} .0280309{col 37}{space 1}    0.20{col 46}{space 3}0.842{col 54}{space 4}-.0497072{col 67}{space 3} .0608917
{txt}{space 2}b_commtg_z {c |}{col 14}{res}{space 2} .0757774{col 26}{space 2} .0135575{col 37}{space 1}    5.59{col 46}{space 3}0.000{col 54}{space 4} .0490312{col 67}{space 3} .1025235
{txt}b_commtg_z_d {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 1}c_tfull_hc2 {c |}{col 14}{res}{space 2} .1239928{col 26}{space 2} .0320277{col 37}{space 1}    3.87{col 46}{space 3}0.000{col 54}{space 4} .0608085{col 67}{space 3} .1871772
{txt}c_tfull_b_~l {c |}{col 14}{res}{space 2} .0852744{col 26}{space 2} .0385592{col 37}{space 1}    2.21{col 46}{space 3}0.028{col 54}{space 4} .0092047{col 67}{space 3} .1613441
{txt}c_tfull_b_~s {c |}{col 14}{res}{space 2} .0054989{col 26}{space 2}    .0554{col 37}{space 1}    0.10{col 46}{space 3}0.921{col 54}{space 4}-.1037943{col 67}{space 3} .1147921
{txt}c_tfull_b_~d {c |}{col 14}{res}{space 2}   .09122{col 26}{space 2}  .032878{col 37}{space 1}    2.77{col 46}{space 3}0.006{col 54}{space 4} .0263583{col 67}{space 3} .1560817
{txt}c_tfull_ed~r {c |}{col 14}{res}{space 2} .0045883{col 26}{space 2} .0016172{col 37}{space 1}    2.84{col 46}{space 3}0.005{col 54}{space 4}  .001398{col 67}{space 3} .0077787
{txt}c_tfull_b_~x {c |}{col 14}{res}{space 2} .0275659{col 26}{space 2} .0086925{col 37}{space 1}    3.17{col 46}{space 3}0.002{col 54}{space 4} .0104174{col 67}{space 3} .0447144
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} .0035564{col 26}{space 2} .0191754{col 37}{space 1}    0.19{col 46}{space 3}0.853{col 54}{space 4}-.0342728{col 67}{space 3} .0413856
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull = .085{p_end}

{txt}       F(  1,   186) ={res}    8.03
{txt}{col 13}Prob > F ={res}    0.0051

{p 0 7}{space 1}{text:( 1)}{space 1} treatfull = -.085{p_end}

{txt}       F(  1,   186) ={res}   10.44
{txt}{col 13}Prob > F ={res}    0.0015
{txt}note: b_commtg_z_d omitted because of collinearity
{res}
{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}     7,288
{txt}{col 49}F({res}   8{txt},{res}    186{txt}){col 67}= {res}     11.69
{txt}{col 49}Prob > F{col 67}= {res}    0.0000
{txt}{col 49}R-squared{col 67}= {res}    0.0961
{txt}{col 49}Adj R-squared{col 67}= {res}    0.0933
{txt}{col 49}Root MSE{col 67}= {res}    0.5588

{txt}{ralign 78:(Std. Err. adjusted for {res:187} clusters in hc_id)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}  e_commtg_z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2} .0055923{col 26}{space 2} .0280309{col 37}{space 1}    0.20{col 46}{space 3}0.842{col 54}{space 4}-.0497072{col 67}{space 3} .0608917
{txt}{space 2}b_commtg_z {c |}{col 14}{res}{space 2} .0757774{col 26}{space 2} .0135575{col 37}{space 1}    5.59{col 46}{space 3}0.000{col 54}{space 4} .0490312{col 67}{space 3} .1025235
{txt}b_commtg_z_d {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 1}c_tfull_hc2 {c |}{col 14}{res}{space 2} .1239928{col 26}{space 2} .0320277{col 37}{space 1}    3.87{col 46}{space 3}0.000{col 54}{space 4} .0608085{col 67}{space 3} .1871772
{txt}c_tfull_b_~l {c |}{col 14}{res}{space 2} .0852744{col 26}{space 2} .0385592{col 37}{space 1}    2.21{col 46}{space 3}0.028{col 54}{space 4} .0092047{col 67}{space 3} .1613441
{txt}c_tfull_b_~s {c |}{col 14}{res}{space 2} .0054989{col 26}{space 2}    .0554{col 37}{space 1}    0.10{col 46}{space 3}0.921{col 54}{space 4}-.1037943{col 67}{space 3} .1147921
{txt}c_tfull_b_~d {c |}{col 14}{res}{space 2}   .09122{col 26}{space 2}  .032878{col 37}{space 1}    2.77{col 46}{space 3}0.006{col 54}{space 4} .0263583{col 67}{space 3} .1560817
{txt}c_tfull_ed~r {c |}{col 14}{res}{space 2} .0045883{col 26}{space 2} .0016172{col 37}{space 1}    2.84{col 46}{space 3}0.005{col 54}{space 4}  .001398{col 67}{space 3} .0077787
{txt}c_tfull_b_~x {c |}{col 14}{res}{space 2} .0275659{col 26}{space 2} .0086925{col 37}{space 1}    3.17{col 46}{space 3}0.002{col 54}{space 4} .0104174{col 67}{space 3} .0447144
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} .0035564{col 26}{space 2} .0191754{col 37}{space 1}    0.19{col 46}{space 3}0.853{col 54}{space 4}-.0342728{col 67}{space 3} .0413856
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull = .086{p_end}

{txt}       F(  1,   186) ={res}    8.23
{txt}{col 13}Prob > F ={res}    0.0046

{p 0 7}{space 1}{text:( 1)}{space 1} treatfull = -.086{p_end}

{txt}       F(  1,   186) ={res}   10.68
{txt}{col 13}Prob > F ={res}    0.0013
{txt}note: b_commtg_z_d omitted because of collinearity
{res}
{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}     7,288
{txt}{col 49}F({res}   8{txt},{res}    186{txt}){col 67}= {res}     11.69
{txt}{col 49}Prob > F{col 67}= {res}    0.0000
{txt}{col 49}R-squared{col 67}= {res}    0.0961
{txt}{col 49}Adj R-squared{col 67}= {res}    0.0933
{txt}{col 49}Root MSE{col 67}= {res}    0.5588

{txt}{ralign 78:(Std. Err. adjusted for {res:187} clusters in hc_id)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}  e_commtg_z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2} .0055923{col 26}{space 2} .0280309{col 37}{space 1}    0.20{col 46}{space 3}0.842{col 54}{space 4}-.0497072{col 67}{space 3} .0608917
{txt}{space 2}b_commtg_z {c |}{col 14}{res}{space 2} .0757774{col 26}{space 2} .0135575{col 37}{space 1}    5.59{col 46}{space 3}0.000{col 54}{space 4} .0490312{col 67}{space 3} .1025235
{txt}b_commtg_z_d {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 1}c_tfull_hc2 {c |}{col 14}{res}{space 2} .1239928{col 26}{space 2} .0320277{col 37}{space 1}    3.87{col 46}{space 3}0.000{col 54}{space 4} .0608085{col 67}{space 3} .1871772
{txt}c_tfull_b_~l {c |}{col 14}{res}{space 2} .0852744{col 26}{space 2} .0385592{col 37}{space 1}    2.21{col 46}{space 3}0.028{col 54}{space 4} .0092047{col 67}{space 3} .1613441
{txt}c_tfull_b_~s {c |}{col 14}{res}{space 2} .0054989{col 26}{space 2}    .0554{col 37}{space 1}    0.10{col 46}{space 3}0.921{col 54}{space 4}-.1037943{col 67}{space 3} .1147921
{txt}c_tfull_b_~d {c |}{col 14}{res}{space 2}   .09122{col 26}{space 2}  .032878{col 37}{space 1}    2.77{col 46}{space 3}0.006{col 54}{space 4} .0263583{col 67}{space 3} .1560817
{txt}c_tfull_ed~r {c |}{col 14}{res}{space 2} .0045883{col 26}{space 2} .0016172{col 37}{space 1}    2.84{col 46}{space 3}0.005{col 54}{space 4}  .001398{col 67}{space 3} .0077787
{txt}c_tfull_b_~x {c |}{col 14}{res}{space 2} .0275659{col 26}{space 2} .0086925{col 37}{space 1}    3.17{col 46}{space 3}0.002{col 54}{space 4} .0104174{col 67}{space 3} .0447144
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} .0035564{col 26}{space 2} .0191754{col 37}{space 1}    0.19{col 46}{space 3}0.853{col 54}{space 4}-.0342728{col 67}{space 3} .0413856
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull = .087{p_end}

{txt}       F(  1,   186) ={res}    8.43
{txt}{col 13}Prob > F ={res}    0.0041

{p 0 7}{space 1}{text:( 1)}{space 1} treatfull = -.087{p_end}

{txt}       F(  1,   186) ={res}   10.91
{txt}{col 13}Prob > F ={res}    0.0011
{txt}note: b_commtg_z_d omitted because of collinearity
{res}
{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}     7,288
{txt}{col 49}F({res}   8{txt},{res}    186{txt}){col 67}= {res}     11.69
{txt}{col 49}Prob > F{col 67}= {res}    0.0000
{txt}{col 49}R-squared{col 67}= {res}    0.0961
{txt}{col 49}Adj R-squared{col 67}= {res}    0.0933
{txt}{col 49}Root MSE{col 67}= {res}    0.5588

{txt}{ralign 78:(Std. Err. adjusted for {res:187} clusters in hc_id)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}  e_commtg_z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2} .0055923{col 26}{space 2} .0280309{col 37}{space 1}    0.20{col 46}{space 3}0.842{col 54}{space 4}-.0497072{col 67}{space 3} .0608917
{txt}{space 2}b_commtg_z {c |}{col 14}{res}{space 2} .0757774{col 26}{space 2} .0135575{col 37}{space 1}    5.59{col 46}{space 3}0.000{col 54}{space 4} .0490312{col 67}{space 3} .1025235
{txt}b_commtg_z_d {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 1}c_tfull_hc2 {c |}{col 14}{res}{space 2} .1239928{col 26}{space 2} .0320277{col 37}{space 1}    3.87{col 46}{space 3}0.000{col 54}{space 4} .0608085{col 67}{space 3} .1871772
{txt}c_tfull_b_~l {c |}{col 14}{res}{space 2} .0852744{col 26}{space 2} .0385592{col 37}{space 1}    2.21{col 46}{space 3}0.028{col 54}{space 4} .0092047{col 67}{space 3} .1613441
{txt}c_tfull_b_~s {c |}{col 14}{res}{space 2} .0054989{col 26}{space 2}    .0554{col 37}{space 1}    0.10{col 46}{space 3}0.921{col 54}{space 4}-.1037943{col 67}{space 3} .1147921
{txt}c_tfull_b_~d {c |}{col 14}{res}{space 2}   .09122{col 26}{space 2}  .032878{col 37}{space 1}    2.77{col 46}{space 3}0.006{col 54}{space 4} .0263583{col 67}{space 3} .1560817
{txt}c_tfull_ed~r {c |}{col 14}{res}{space 2} .0045883{col 26}{space 2} .0016172{col 37}{space 1}    2.84{col 46}{space 3}0.005{col 54}{space 4}  .001398{col 67}{space 3} .0077787
{txt}c_tfull_b_~x {c |}{col 14}{res}{space 2} .0275659{col 26}{space 2} .0086925{col 37}{space 1}    3.17{col 46}{space 3}0.002{col 54}{space 4} .0104174{col 67}{space 3} .0447144
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} .0035564{col 26}{space 2} .0191754{col 37}{space 1}    0.19{col 46}{space 3}0.853{col 54}{space 4}-.0342728{col 67}{space 3} .0413856
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull = .088{p_end}

{txt}       F(  1,   186) ={res}    8.64
{txt}{col 13}Prob > F ={res}    0.0037

{p 0 7}{space 1}{text:( 1)}{space 1} treatfull = -.088{p_end}

{txt}       F(  1,   186) ={res}   11.15
{txt}{col 13}Prob > F ={res}    0.0010
{txt}note: b_commtg_z_d omitted because of collinearity
{res}
{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}     7,288
{txt}{col 49}F({res}   8{txt},{res}    186{txt}){col 67}= {res}     11.69
{txt}{col 49}Prob > F{col 67}= {res}    0.0000
{txt}{col 49}R-squared{col 67}= {res}    0.0961
{txt}{col 49}Adj R-squared{col 67}= {res}    0.0933
{txt}{col 49}Root MSE{col 67}= {res}    0.5588

{txt}{ralign 78:(Std. Err. adjusted for {res:187} clusters in hc_id)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}  e_commtg_z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2} .0055923{col 26}{space 2} .0280309{col 37}{space 1}    0.20{col 46}{space 3}0.842{col 54}{space 4}-.0497072{col 67}{space 3} .0608917
{txt}{space 2}b_commtg_z {c |}{col 14}{res}{space 2} .0757774{col 26}{space 2} .0135575{col 37}{space 1}    5.59{col 46}{space 3}0.000{col 54}{space 4} .0490312{col 67}{space 3} .1025235
{txt}b_commtg_z_d {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 1}c_tfull_hc2 {c |}{col 14}{res}{space 2} .1239928{col 26}{space 2} .0320277{col 37}{space 1}    3.87{col 46}{space 3}0.000{col 54}{space 4} .0608085{col 67}{space 3} .1871772
{txt}c_tfull_b_~l {c |}{col 14}{res}{space 2} .0852744{col 26}{space 2} .0385592{col 37}{space 1}    2.21{col 46}{space 3}0.028{col 54}{space 4} .0092047{col 67}{space 3} .1613441
{txt}c_tfull_b_~s {c |}{col 14}{res}{space 2} .0054989{col 26}{space 2}    .0554{col 37}{space 1}    0.10{col 46}{space 3}0.921{col 54}{space 4}-.1037943{col 67}{space 3} .1147921
{txt}c_tfull_b_~d {c |}{col 14}{res}{space 2}   .09122{col 26}{space 2}  .032878{col 37}{space 1}    2.77{col 46}{space 3}0.006{col 54}{space 4} .0263583{col 67}{space 3} .1560817
{txt}c_tfull_ed~r {c |}{col 14}{res}{space 2} .0045883{col 26}{space 2} .0016172{col 37}{space 1}    2.84{col 46}{space 3}0.005{col 54}{space 4}  .001398{col 67}{space 3} .0077787
{txt}c_tfull_b_~x {c |}{col 14}{res}{space 2} .0275659{col 26}{space 2} .0086925{col 37}{space 1}    3.17{col 46}{space 3}0.002{col 54}{space 4} .0104174{col 67}{space 3} .0447144
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} .0035564{col 26}{space 2} .0191754{col 37}{space 1}    0.19{col 46}{space 3}0.853{col 54}{space 4}-.0342728{col 67}{space 3} .0413856
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull = .089{p_end}

{txt}       F(  1,   186) ={res}    8.85
{txt}{col 13}Prob > F ={res}    0.0033

{p 0 7}{space 1}{text:( 1)}{space 1} treatfull = -.089{p_end}

{txt}       F(  1,   186) ={res}   11.39
{txt}{col 13}Prob > F ={res}    0.0009
{txt}note: b_commtg_z_d omitted because of collinearity
{res}
{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}     7,288
{txt}{col 49}F({res}   8{txt},{res}    186{txt}){col 67}= {res}     11.69
{txt}{col 49}Prob > F{col 67}= {res}    0.0000
{txt}{col 49}R-squared{col 67}= {res}    0.0961
{txt}{col 49}Adj R-squared{col 67}= {res}    0.0933
{txt}{col 49}Root MSE{col 67}= {res}    0.5588

{txt}{ralign 78:(Std. Err. adjusted for {res:187} clusters in hc_id)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}  e_commtg_z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2} .0055923{col 26}{space 2} .0280309{col 37}{space 1}    0.20{col 46}{space 3}0.842{col 54}{space 4}-.0497072{col 67}{space 3} .0608917
{txt}{space 2}b_commtg_z {c |}{col 14}{res}{space 2} .0757774{col 26}{space 2} .0135575{col 37}{space 1}    5.59{col 46}{space 3}0.000{col 54}{space 4} .0490312{col 67}{space 3} .1025235
{txt}b_commtg_z_d {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 1}c_tfull_hc2 {c |}{col 14}{res}{space 2} .1239928{col 26}{space 2} .0320277{col 37}{space 1}    3.87{col 46}{space 3}0.000{col 54}{space 4} .0608085{col 67}{space 3} .1871772
{txt}c_tfull_b_~l {c |}{col 14}{res}{space 2} .0852744{col 26}{space 2} .0385592{col 37}{space 1}    2.21{col 46}{space 3}0.028{col 54}{space 4} .0092047{col 67}{space 3} .1613441
{txt}c_tfull_b_~s {c |}{col 14}{res}{space 2} .0054989{col 26}{space 2}    .0554{col 37}{space 1}    0.10{col 46}{space 3}0.921{col 54}{space 4}-.1037943{col 67}{space 3} .1147921
{txt}c_tfull_b_~d {c |}{col 14}{res}{space 2}   .09122{col 26}{space 2}  .032878{col 37}{space 1}    2.77{col 46}{space 3}0.006{col 54}{space 4} .0263583{col 67}{space 3} .1560817
{txt}c_tfull_ed~r {c |}{col 14}{res}{space 2} .0045883{col 26}{space 2} .0016172{col 37}{space 1}    2.84{col 46}{space 3}0.005{col 54}{space 4}  .001398{col 67}{space 3} .0077787
{txt}c_tfull_b_~x {c |}{col 14}{res}{space 2} .0275659{col 26}{space 2} .0086925{col 37}{space 1}    3.17{col 46}{space 3}0.002{col 54}{space 4} .0104174{col 67}{space 3} .0447144
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} .0035564{col 26}{space 2} .0191754{col 37}{space 1}    0.19{col 46}{space 3}0.853{col 54}{space 4}-.0342728{col 67}{space 3} .0413856
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull = .09{p_end}

{txt}       F(  1,   186) ={res}    9.07
{txt}{col 13}Prob > F ={res}    0.0030

{p 0 7}{space 1}{text:( 1)}{space 1} treatfull = -.09{p_end}

{txt}       F(  1,   186) ={res}   11.63
{txt}{col 13}Prob > F ={res}    0.0008
{txt}note: b_commtg_z_d omitted because of collinearity
{res}
{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}     7,288
{txt}{col 49}F({res}   8{txt},{res}    186{txt}){col 67}= {res}     11.69
{txt}{col 49}Prob > F{col 67}= {res}    0.0000
{txt}{col 49}R-squared{col 67}= {res}    0.0961
{txt}{col 49}Adj R-squared{col 67}= {res}    0.0933
{txt}{col 49}Root MSE{col 67}= {res}    0.5588

{txt}{ralign 78:(Std. Err. adjusted for {res:187} clusters in hc_id)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}  e_commtg_z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2} .0055923{col 26}{space 2} .0280309{col 37}{space 1}    0.20{col 46}{space 3}0.842{col 54}{space 4}-.0497072{col 67}{space 3} .0608917
{txt}{space 2}b_commtg_z {c |}{col 14}{res}{space 2} .0757774{col 26}{space 2} .0135575{col 37}{space 1}    5.59{col 46}{space 3}0.000{col 54}{space 4} .0490312{col 67}{space 3} .1025235
{txt}b_commtg_z_d {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 1}c_tfull_hc2 {c |}{col 14}{res}{space 2} .1239928{col 26}{space 2} .0320277{col 37}{space 1}    3.87{col 46}{space 3}0.000{col 54}{space 4} .0608085{col 67}{space 3} .1871772
{txt}c_tfull_b_~l {c |}{col 14}{res}{space 2} .0852744{col 26}{space 2} .0385592{col 37}{space 1}    2.21{col 46}{space 3}0.028{col 54}{space 4} .0092047{col 67}{space 3} .1613441
{txt}c_tfull_b_~s {c |}{col 14}{res}{space 2} .0054989{col 26}{space 2}    .0554{col 37}{space 1}    0.10{col 46}{space 3}0.921{col 54}{space 4}-.1037943{col 67}{space 3} .1147921
{txt}c_tfull_b_~d {c |}{col 14}{res}{space 2}   .09122{col 26}{space 2}  .032878{col 37}{space 1}    2.77{col 46}{space 3}0.006{col 54}{space 4} .0263583{col 67}{space 3} .1560817
{txt}c_tfull_ed~r {c |}{col 14}{res}{space 2} .0045883{col 26}{space 2} .0016172{col 37}{space 1}    2.84{col 46}{space 3}0.005{col 54}{space 4}  .001398{col 67}{space 3} .0077787
{txt}c_tfull_b_~x {c |}{col 14}{res}{space 2} .0275659{col 26}{space 2} .0086925{col 37}{space 1}    3.17{col 46}{space 3}0.002{col 54}{space 4} .0104174{col 67}{space 3} .0447144
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} .0035564{col 26}{space 2} .0191754{col 37}{space 1}    0.19{col 46}{space 3}0.853{col 54}{space 4}-.0342728{col 67}{space 3} .0413856
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull = .091{p_end}

{txt}       F(  1,   186) ={res}    9.28
{txt}{col 13}Prob > F ={res}    0.0026

{p 0 7}{space 1}{text:( 1)}{space 1} treatfull = -.091{p_end}

{txt}       F(  1,   186) ={res}   11.87
{txt}{col 13}Prob > F ={res}    0.0007
{txt}note: b_commtg_z_d omitted because of collinearity
{res}
{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}     7,288
{txt}{col 49}F({res}   8{txt},{res}    186{txt}){col 67}= {res}     11.69
{txt}{col 49}Prob > F{col 67}= {res}    0.0000
{txt}{col 49}R-squared{col 67}= {res}    0.0961
{txt}{col 49}Adj R-squared{col 67}= {res}    0.0933
{txt}{col 49}Root MSE{col 67}= {res}    0.5588

{txt}{ralign 78:(Std. Err. adjusted for {res:187} clusters in hc_id)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}  e_commtg_z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2} .0055923{col 26}{space 2} .0280309{col 37}{space 1}    0.20{col 46}{space 3}0.842{col 54}{space 4}-.0497072{col 67}{space 3} .0608917
{txt}{space 2}b_commtg_z {c |}{col 14}{res}{space 2} .0757774{col 26}{space 2} .0135575{col 37}{space 1}    5.59{col 46}{space 3}0.000{col 54}{space 4} .0490312{col 67}{space 3} .1025235
{txt}b_commtg_z_d {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 1}c_tfull_hc2 {c |}{col 14}{res}{space 2} .1239928{col 26}{space 2} .0320277{col 37}{space 1}    3.87{col 46}{space 3}0.000{col 54}{space 4} .0608085{col 67}{space 3} .1871772
{txt}c_tfull_b_~l {c |}{col 14}{res}{space 2} .0852744{col 26}{space 2} .0385592{col 37}{space 1}    2.21{col 46}{space 3}0.028{col 54}{space 4} .0092047{col 67}{space 3} .1613441
{txt}c_tfull_b_~s {c |}{col 14}{res}{space 2} .0054989{col 26}{space 2}    .0554{col 37}{space 1}    0.10{col 46}{space 3}0.921{col 54}{space 4}-.1037943{col 67}{space 3} .1147921
{txt}c_tfull_b_~d {c |}{col 14}{res}{space 2}   .09122{col 26}{space 2}  .032878{col 37}{space 1}    2.77{col 46}{space 3}0.006{col 54}{space 4} .0263583{col 67}{space 3} .1560817
{txt}c_tfull_ed~r {c |}{col 14}{res}{space 2} .0045883{col 26}{space 2} .0016172{col 37}{space 1}    2.84{col 46}{space 3}0.005{col 54}{space 4}  .001398{col 67}{space 3} .0077787
{txt}c_tfull_b_~x {c |}{col 14}{res}{space 2} .0275659{col 26}{space 2} .0086925{col 37}{space 1}    3.17{col 46}{space 3}0.002{col 54}{space 4} .0104174{col 67}{space 3} .0447144
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} .0035564{col 26}{space 2} .0191754{col 37}{space 1}    0.19{col 46}{space 3}0.853{col 54}{space 4}-.0342728{col 67}{space 3} .0413856
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull = .092{p_end}

{txt}       F(  1,   186) ={res}    9.50
{txt}{col 13}Prob > F ={res}    0.0024

{p 0 7}{space 1}{text:( 1)}{space 1} treatfull = -.092{p_end}

{txt}       F(  1,   186) ={res}   12.12
{txt}{col 13}Prob > F ={res}    0.0006
{txt}note: b_commtg_z_d omitted because of collinearity
{res}
{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}     7,288
{txt}{col 49}F({res}   8{txt},{res}    186{txt}){col 67}= {res}     11.69
{txt}{col 49}Prob > F{col 67}= {res}    0.0000
{txt}{col 49}R-squared{col 67}= {res}    0.0961
{txt}{col 49}Adj R-squared{col 67}= {res}    0.0933
{txt}{col 49}Root MSE{col 67}= {res}    0.5588

{txt}{ralign 78:(Std. Err. adjusted for {res:187} clusters in hc_id)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}  e_commtg_z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2} .0055923{col 26}{space 2} .0280309{col 37}{space 1}    0.20{col 46}{space 3}0.842{col 54}{space 4}-.0497072{col 67}{space 3} .0608917
{txt}{space 2}b_commtg_z {c |}{col 14}{res}{space 2} .0757774{col 26}{space 2} .0135575{col 37}{space 1}    5.59{col 46}{space 3}0.000{col 54}{space 4} .0490312{col 67}{space 3} .1025235
{txt}b_commtg_z_d {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 1}c_tfull_hc2 {c |}{col 14}{res}{space 2} .1239928{col 26}{space 2} .0320277{col 37}{space 1}    3.87{col 46}{space 3}0.000{col 54}{space 4} .0608085{col 67}{space 3} .1871772
{txt}c_tfull_b_~l {c |}{col 14}{res}{space 2} .0852744{col 26}{space 2} .0385592{col 37}{space 1}    2.21{col 46}{space 3}0.028{col 54}{space 4} .0092047{col 67}{space 3} .1613441
{txt}c_tfull_b_~s {c |}{col 14}{res}{space 2} .0054989{col 26}{space 2}    .0554{col 37}{space 1}    0.10{col 46}{space 3}0.921{col 54}{space 4}-.1037943{col 67}{space 3} .1147921
{txt}c_tfull_b_~d {c |}{col 14}{res}{space 2}   .09122{col 26}{space 2}  .032878{col 37}{space 1}    2.77{col 46}{space 3}0.006{col 54}{space 4} .0263583{col 67}{space 3} .1560817
{txt}c_tfull_ed~r {c |}{col 14}{res}{space 2} .0045883{col 26}{space 2} .0016172{col 37}{space 1}    2.84{col 46}{space 3}0.005{col 54}{space 4}  .001398{col 67}{space 3} .0077787
{txt}c_tfull_b_~x {c |}{col 14}{res}{space 2} .0275659{col 26}{space 2} .0086925{col 37}{space 1}    3.17{col 46}{space 3}0.002{col 54}{space 4} .0104174{col 67}{space 3} .0447144
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} .0035564{col 26}{space 2} .0191754{col 37}{space 1}    0.19{col 46}{space 3}0.853{col 54}{space 4}-.0342728{col 67}{space 3} .0413856
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull = .093{p_end}

{txt}       F(  1,   186) ={res}    9.72
{txt}{col 13}Prob > F ={res}    0.0021

{p 0 7}{space 1}{text:( 1)}{space 1} treatfull = -.093{p_end}

{txt}       F(  1,   186) ={res}   12.37
{txt}{col 13}Prob > F ={res}    0.0005
{txt}note: b_commtg_z_d omitted because of collinearity
{res}
{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}     7,288
{txt}{col 49}F({res}   8{txt},{res}    186{txt}){col 67}= {res}     11.69
{txt}{col 49}Prob > F{col 67}= {res}    0.0000
{txt}{col 49}R-squared{col 67}= {res}    0.0961
{txt}{col 49}Adj R-squared{col 67}= {res}    0.0933
{txt}{col 49}Root MSE{col 67}= {res}    0.5588

{txt}{ralign 78:(Std. Err. adjusted for {res:187} clusters in hc_id)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}  e_commtg_z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2} .0055923{col 26}{space 2} .0280309{col 37}{space 1}    0.20{col 46}{space 3}0.842{col 54}{space 4}-.0497072{col 67}{space 3} .0608917
{txt}{space 2}b_commtg_z {c |}{col 14}{res}{space 2} .0757774{col 26}{space 2} .0135575{col 37}{space 1}    5.59{col 46}{space 3}0.000{col 54}{space 4} .0490312{col 67}{space 3} .1025235
{txt}b_commtg_z_d {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 1}c_tfull_hc2 {c |}{col 14}{res}{space 2} .1239928{col 26}{space 2} .0320277{col 37}{space 1}    3.87{col 46}{space 3}0.000{col 54}{space 4} .0608085{col 67}{space 3} .1871772
{txt}c_tfull_b_~l {c |}{col 14}{res}{space 2} .0852744{col 26}{space 2} .0385592{col 37}{space 1}    2.21{col 46}{space 3}0.028{col 54}{space 4} .0092047{col 67}{space 3} .1613441
{txt}c_tfull_b_~s {c |}{col 14}{res}{space 2} .0054989{col 26}{space 2}    .0554{col 37}{space 1}    0.10{col 46}{space 3}0.921{col 54}{space 4}-.1037943{col 67}{space 3} .1147921
{txt}c_tfull_b_~d {c |}{col 14}{res}{space 2}   .09122{col 26}{space 2}  .032878{col 37}{space 1}    2.77{col 46}{space 3}0.006{col 54}{space 4} .0263583{col 67}{space 3} .1560817
{txt}c_tfull_ed~r {c |}{col 14}{res}{space 2} .0045883{col 26}{space 2} .0016172{col 37}{space 1}    2.84{col 46}{space 3}0.005{col 54}{space 4}  .001398{col 67}{space 3} .0077787
{txt}c_tfull_b_~x {c |}{col 14}{res}{space 2} .0275659{col 26}{space 2} .0086925{col 37}{space 1}    3.17{col 46}{space 3}0.002{col 54}{space 4} .0104174{col 67}{space 3} .0447144
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} .0035564{col 26}{space 2} .0191754{col 37}{space 1}    0.19{col 46}{space 3}0.853{col 54}{space 4}-.0342728{col 67}{space 3} .0413856
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull = .094{p_end}

{txt}       F(  1,   186) ={res}    9.95
{txt}{col 13}Prob > F ={res}    0.0019

{p 0 7}{space 1}{text:( 1)}{space 1} treatfull = -.094{p_end}

{txt}       F(  1,   186) ={res}   12.62
{txt}{col 13}Prob > F ={res}    0.0005
{txt}note: b_commtg_z_d omitted because of collinearity
{res}
{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}     7,288
{txt}{col 49}F({res}   8{txt},{res}    186{txt}){col 67}= {res}     11.69
{txt}{col 49}Prob > F{col 67}= {res}    0.0000
{txt}{col 49}R-squared{col 67}= {res}    0.0961
{txt}{col 49}Adj R-squared{col 67}= {res}    0.0933
{txt}{col 49}Root MSE{col 67}= {res}    0.5588

{txt}{ralign 78:(Std. Err. adjusted for {res:187} clusters in hc_id)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}  e_commtg_z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2} .0055923{col 26}{space 2} .0280309{col 37}{space 1}    0.20{col 46}{space 3}0.842{col 54}{space 4}-.0497072{col 67}{space 3} .0608917
{txt}{space 2}b_commtg_z {c |}{col 14}{res}{space 2} .0757774{col 26}{space 2} .0135575{col 37}{space 1}    5.59{col 46}{space 3}0.000{col 54}{space 4} .0490312{col 67}{space 3} .1025235
{txt}b_commtg_z_d {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 1}c_tfull_hc2 {c |}{col 14}{res}{space 2} .1239928{col 26}{space 2} .0320277{col 37}{space 1}    3.87{col 46}{space 3}0.000{col 54}{space 4} .0608085{col 67}{space 3} .1871772
{txt}c_tfull_b_~l {c |}{col 14}{res}{space 2} .0852744{col 26}{space 2} .0385592{col 37}{space 1}    2.21{col 46}{space 3}0.028{col 54}{space 4} .0092047{col 67}{space 3} .1613441
{txt}c_tfull_b_~s {c |}{col 14}{res}{space 2} .0054989{col 26}{space 2}    .0554{col 37}{space 1}    0.10{col 46}{space 3}0.921{col 54}{space 4}-.1037943{col 67}{space 3} .1147921
{txt}c_tfull_b_~d {c |}{col 14}{res}{space 2}   .09122{col 26}{space 2}  .032878{col 37}{space 1}    2.77{col 46}{space 3}0.006{col 54}{space 4} .0263583{col 67}{space 3} .1560817
{txt}c_tfull_ed~r {c |}{col 14}{res}{space 2} .0045883{col 26}{space 2} .0016172{col 37}{space 1}    2.84{col 46}{space 3}0.005{col 54}{space 4}  .001398{col 67}{space 3} .0077787
{txt}c_tfull_b_~x {c |}{col 14}{res}{space 2} .0275659{col 26}{space 2} .0086925{col 37}{space 1}    3.17{col 46}{space 3}0.002{col 54}{space 4} .0104174{col 67}{space 3} .0447144
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} .0035564{col 26}{space 2} .0191754{col 37}{space 1}    0.19{col 46}{space 3}0.853{col 54}{space 4}-.0342728{col 67}{space 3} .0413856
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull = .095{p_end}

{txt}       F(  1,   186) ={res}   10.17
{txt}{col 13}Prob > F ={res}    0.0017

{p 0 7}{space 1}{text:( 1)}{space 1} treatfull = -.095{p_end}

{txt}       F(  1,   186) ={res}   12.88
{txt}{col 13}Prob > F ={res}    0.0004
{txt}note: b_commtg_z_d omitted because of collinearity
{res}
{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}     7,288
{txt}{col 49}F({res}   8{txt},{res}    186{txt}){col 67}= {res}     11.69
{txt}{col 49}Prob > F{col 67}= {res}    0.0000
{txt}{col 49}R-squared{col 67}= {res}    0.0961
{txt}{col 49}Adj R-squared{col 67}= {res}    0.0933
{txt}{col 49}Root MSE{col 67}= {res}    0.5588

{txt}{ralign 78:(Std. Err. adjusted for {res:187} clusters in hc_id)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}  e_commtg_z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2} .0055923{col 26}{space 2} .0280309{col 37}{space 1}    0.20{col 46}{space 3}0.842{col 54}{space 4}-.0497072{col 67}{space 3} .0608917
{txt}{space 2}b_commtg_z {c |}{col 14}{res}{space 2} .0757774{col 26}{space 2} .0135575{col 37}{space 1}    5.59{col 46}{space 3}0.000{col 54}{space 4} .0490312{col 67}{space 3} .1025235
{txt}b_commtg_z_d {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 1}c_tfull_hc2 {c |}{col 14}{res}{space 2} .1239928{col 26}{space 2} .0320277{col 37}{space 1}    3.87{col 46}{space 3}0.000{col 54}{space 4} .0608085{col 67}{space 3} .1871772
{txt}c_tfull_b_~l {c |}{col 14}{res}{space 2} .0852744{col 26}{space 2} .0385592{col 37}{space 1}    2.21{col 46}{space 3}0.028{col 54}{space 4} .0092047{col 67}{space 3} .1613441
{txt}c_tfull_b_~s {c |}{col 14}{res}{space 2} .0054989{col 26}{space 2}    .0554{col 37}{space 1}    0.10{col 46}{space 3}0.921{col 54}{space 4}-.1037943{col 67}{space 3} .1147921
{txt}c_tfull_b_~d {c |}{col 14}{res}{space 2}   .09122{col 26}{space 2}  .032878{col 37}{space 1}    2.77{col 46}{space 3}0.006{col 54}{space 4} .0263583{col 67}{space 3} .1560817
{txt}c_tfull_ed~r {c |}{col 14}{res}{space 2} .0045883{col 26}{space 2} .0016172{col 37}{space 1}    2.84{col 46}{space 3}0.005{col 54}{space 4}  .001398{col 67}{space 3} .0077787
{txt}c_tfull_b_~x {c |}{col 14}{res}{space 2} .0275659{col 26}{space 2} .0086925{col 37}{space 1}    3.17{col 46}{space 3}0.002{col 54}{space 4} .0104174{col 67}{space 3} .0447144
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} .0035564{col 26}{space 2} .0191754{col 37}{space 1}    0.19{col 46}{space 3}0.853{col 54}{space 4}-.0342728{col 67}{space 3} .0413856
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull = .096{p_end}

{txt}       F(  1,   186) ={res}   10.40
{txt}{col 13}Prob > F ={res}    0.0015

{p 0 7}{space 1}{text:( 1)}{space 1} treatfull = -.096{p_end}

{txt}       F(  1,   186) ={res}   13.14
{txt}{col 13}Prob > F ={res}    0.0004
{txt}note: b_commtg_z_d omitted because of collinearity
{res}
{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}     7,288
{txt}{col 49}F({res}   8{txt},{res}    186{txt}){col 67}= {res}     11.69
{txt}{col 49}Prob > F{col 67}= {res}    0.0000
{txt}{col 49}R-squared{col 67}= {res}    0.0961
{txt}{col 49}Adj R-squared{col 67}= {res}    0.0933
{txt}{col 49}Root MSE{col 67}= {res}    0.5588

{txt}{ralign 78:(Std. Err. adjusted for {res:187} clusters in hc_id)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}  e_commtg_z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2} .0055923{col 26}{space 2} .0280309{col 37}{space 1}    0.20{col 46}{space 3}0.842{col 54}{space 4}-.0497072{col 67}{space 3} .0608917
{txt}{space 2}b_commtg_z {c |}{col 14}{res}{space 2} .0757774{col 26}{space 2} .0135575{col 37}{space 1}    5.59{col 46}{space 3}0.000{col 54}{space 4} .0490312{col 67}{space 3} .1025235
{txt}b_commtg_z_d {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 1}c_tfull_hc2 {c |}{col 14}{res}{space 2} .1239928{col 26}{space 2} .0320277{col 37}{space 1}    3.87{col 46}{space 3}0.000{col 54}{space 4} .0608085{col 67}{space 3} .1871772
{txt}c_tfull_b_~l {c |}{col 14}{res}{space 2} .0852744{col 26}{space 2} .0385592{col 37}{space 1}    2.21{col 46}{space 3}0.028{col 54}{space 4} .0092047{col 67}{space 3} .1613441
{txt}c_tfull_b_~s {c |}{col 14}{res}{space 2} .0054989{col 26}{space 2}    .0554{col 37}{space 1}    0.10{col 46}{space 3}0.921{col 54}{space 4}-.1037943{col 67}{space 3} .1147921
{txt}c_tfull_b_~d {c |}{col 14}{res}{space 2}   .09122{col 26}{space 2}  .032878{col 37}{space 1}    2.77{col 46}{space 3}0.006{col 54}{space 4} .0263583{col 67}{space 3} .1560817
{txt}c_tfull_ed~r {c |}{col 14}{res}{space 2} .0045883{col 26}{space 2} .0016172{col 37}{space 1}    2.84{col 46}{space 3}0.005{col 54}{space 4}  .001398{col 67}{space 3} .0077787
{txt}c_tfull_b_~x {c |}{col 14}{res}{space 2} .0275659{col 26}{space 2} .0086925{col 37}{space 1}    3.17{col 46}{space 3}0.002{col 54}{space 4} .0104174{col 67}{space 3} .0447144
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} .0035564{col 26}{space 2} .0191754{col 37}{space 1}    0.19{col 46}{space 3}0.853{col 54}{space 4}-.0342728{col 67}{space 3} .0413856
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull = .097{p_end}

{txt}       F(  1,   186) ={res}   10.63
{txt}{col 13}Prob > F ={res}    0.0013

{p 0 7}{space 1}{text:( 1)}{space 1} treatfull = -.097{p_end}

{txt}       F(  1,   186) ={res}   13.40
{txt}{col 13}Prob > F ={res}    0.0003
{txt}note: b_commtg_z_d omitted because of collinearity
{res}
{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}     7,288
{txt}{col 49}F({res}   8{txt},{res}    186{txt}){col 67}= {res}     11.69
{txt}{col 49}Prob > F{col 67}= {res}    0.0000
{txt}{col 49}R-squared{col 67}= {res}    0.0961
{txt}{col 49}Adj R-squared{col 67}= {res}    0.0933
{txt}{col 49}Root MSE{col 67}= {res}    0.5588

{txt}{ralign 78:(Std. Err. adjusted for {res:187} clusters in hc_id)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}  e_commtg_z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2} .0055923{col 26}{space 2} .0280309{col 37}{space 1}    0.20{col 46}{space 3}0.842{col 54}{space 4}-.0497072{col 67}{space 3} .0608917
{txt}{space 2}b_commtg_z {c |}{col 14}{res}{space 2} .0757774{col 26}{space 2} .0135575{col 37}{space 1}    5.59{col 46}{space 3}0.000{col 54}{space 4} .0490312{col 67}{space 3} .1025235
{txt}b_commtg_z_d {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 1}c_tfull_hc2 {c |}{col 14}{res}{space 2} .1239928{col 26}{space 2} .0320277{col 37}{space 1}    3.87{col 46}{space 3}0.000{col 54}{space 4} .0608085{col 67}{space 3} .1871772
{txt}c_tfull_b_~l {c |}{col 14}{res}{space 2} .0852744{col 26}{space 2} .0385592{col 37}{space 1}    2.21{col 46}{space 3}0.028{col 54}{space 4} .0092047{col 67}{space 3} .1613441
{txt}c_tfull_b_~s {c |}{col 14}{res}{space 2} .0054989{col 26}{space 2}    .0554{col 37}{space 1}    0.10{col 46}{space 3}0.921{col 54}{space 4}-.1037943{col 67}{space 3} .1147921
{txt}c_tfull_b_~d {c |}{col 14}{res}{space 2}   .09122{col 26}{space 2}  .032878{col 37}{space 1}    2.77{col 46}{space 3}0.006{col 54}{space 4} .0263583{col 67}{space 3} .1560817
{txt}c_tfull_ed~r {c |}{col 14}{res}{space 2} .0045883{col 26}{space 2} .0016172{col 37}{space 1}    2.84{col 46}{space 3}0.005{col 54}{space 4}  .001398{col 67}{space 3} .0077787
{txt}c_tfull_b_~x {c |}{col 14}{res}{space 2} .0275659{col 26}{space 2} .0086925{col 37}{space 1}    3.17{col 46}{space 3}0.002{col 54}{space 4} .0104174{col 67}{space 3} .0447144
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} .0035564{col 26}{space 2} .0191754{col 37}{space 1}    0.19{col 46}{space 3}0.853{col 54}{space 4}-.0342728{col 67}{space 3} .0413856
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull = .098{p_end}

{txt}       F(  1,   186) ={res}   10.87
{txt}{col 13}Prob > F ={res}    0.0012

{p 0 7}{space 1}{text:( 1)}{space 1} treatfull = -.098{p_end}

{txt}       F(  1,   186) ={res}   13.66
{txt}{col 13}Prob > F ={res}    0.0003
{txt}note: b_commtg_z_d omitted because of collinearity
{res}
{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}     7,288
{txt}{col 49}F({res}   8{txt},{res}    186{txt}){col 67}= {res}     11.69
{txt}{col 49}Prob > F{col 67}= {res}    0.0000
{txt}{col 49}R-squared{col 67}= {res}    0.0961
{txt}{col 49}Adj R-squared{col 67}= {res}    0.0933
{txt}{col 49}Root MSE{col 67}= {res}    0.5588

{txt}{ralign 78:(Std. Err. adjusted for {res:187} clusters in hc_id)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}  e_commtg_z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2} .0055923{col 26}{space 2} .0280309{col 37}{space 1}    0.20{col 46}{space 3}0.842{col 54}{space 4}-.0497072{col 67}{space 3} .0608917
{txt}{space 2}b_commtg_z {c |}{col 14}{res}{space 2} .0757774{col 26}{space 2} .0135575{col 37}{space 1}    5.59{col 46}{space 3}0.000{col 54}{space 4} .0490312{col 67}{space 3} .1025235
{txt}b_commtg_z_d {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 1}c_tfull_hc2 {c |}{col 14}{res}{space 2} .1239928{col 26}{space 2} .0320277{col 37}{space 1}    3.87{col 46}{space 3}0.000{col 54}{space 4} .0608085{col 67}{space 3} .1871772
{txt}c_tfull_b_~l {c |}{col 14}{res}{space 2} .0852744{col 26}{space 2} .0385592{col 37}{space 1}    2.21{col 46}{space 3}0.028{col 54}{space 4} .0092047{col 67}{space 3} .1613441
{txt}c_tfull_b_~s {c |}{col 14}{res}{space 2} .0054989{col 26}{space 2}    .0554{col 37}{space 1}    0.10{col 46}{space 3}0.921{col 54}{space 4}-.1037943{col 67}{space 3} .1147921
{txt}c_tfull_b_~d {c |}{col 14}{res}{space 2}   .09122{col 26}{space 2}  .032878{col 37}{space 1}    2.77{col 46}{space 3}0.006{col 54}{space 4} .0263583{col 67}{space 3} .1560817
{txt}c_tfull_ed~r {c |}{col 14}{res}{space 2} .0045883{col 26}{space 2} .0016172{col 37}{space 1}    2.84{col 46}{space 3}0.005{col 54}{space 4}  .001398{col 67}{space 3} .0077787
{txt}c_tfull_b_~x {c |}{col 14}{res}{space 2} .0275659{col 26}{space 2} .0086925{col 37}{space 1}    3.17{col 46}{space 3}0.002{col 54}{space 4} .0104174{col 67}{space 3} .0447144
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} .0035564{col 26}{space 2} .0191754{col 37}{space 1}    0.19{col 46}{space 3}0.853{col 54}{space 4}-.0342728{col 67}{space 3} .0413856
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull = .099{p_end}

{txt}       F(  1,   186) ={res}   11.10
{txt}{col 13}Prob > F ={res}    0.0010

{p 0 7}{space 1}{text:( 1)}{space 1} treatfull = -.099{p_end}

{txt}       F(  1,   186) ={res}   13.92
{txt}{col 13}Prob > F ={res}    0.0003
{txt}note: b_commtg_z_d omitted because of collinearity
{res}
{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}     7,288
{txt}{col 49}F({res}   8{txt},{res}    186{txt}){col 67}= {res}     11.69
{txt}{col 49}Prob > F{col 67}= {res}    0.0000
{txt}{col 49}R-squared{col 67}= {res}    0.0961
{txt}{col 49}Adj R-squared{col 67}= {res}    0.0933
{txt}{col 49}Root MSE{col 67}= {res}    0.5588

{txt}{ralign 78:(Std. Err. adjusted for {res:187} clusters in hc_id)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}  e_commtg_z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2} .0055923{col 26}{space 2} .0280309{col 37}{space 1}    0.20{col 46}{space 3}0.842{col 54}{space 4}-.0497072{col 67}{space 3} .0608917
{txt}{space 2}b_commtg_z {c |}{col 14}{res}{space 2} .0757774{col 26}{space 2} .0135575{col 37}{space 1}    5.59{col 46}{space 3}0.000{col 54}{space 4} .0490312{col 67}{space 3} .1025235
{txt}b_commtg_z_d {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 1}c_tfull_hc2 {c |}{col 14}{res}{space 2} .1239928{col 26}{space 2} .0320277{col 37}{space 1}    3.87{col 46}{space 3}0.000{col 54}{space 4} .0608085{col 67}{space 3} .1871772
{txt}c_tfull_b_~l {c |}{col 14}{res}{space 2} .0852744{col 26}{space 2} .0385592{col 37}{space 1}    2.21{col 46}{space 3}0.028{col 54}{space 4} .0092047{col 67}{space 3} .1613441
{txt}c_tfull_b_~s {c |}{col 14}{res}{space 2} .0054989{col 26}{space 2}    .0554{col 37}{space 1}    0.10{col 46}{space 3}0.921{col 54}{space 4}-.1037943{col 67}{space 3} .1147921
{txt}c_tfull_b_~d {c |}{col 14}{res}{space 2}   .09122{col 26}{space 2}  .032878{col 37}{space 1}    2.77{col 46}{space 3}0.006{col 54}{space 4} .0263583{col 67}{space 3} .1560817
{txt}c_tfull_ed~r {c |}{col 14}{res}{space 2} .0045883{col 26}{space 2} .0016172{col 37}{space 1}    2.84{col 46}{space 3}0.005{col 54}{space 4}  .001398{col 67}{space 3} .0077787
{txt}c_tfull_b_~x {c |}{col 14}{res}{space 2} .0275659{col 26}{space 2} .0086925{col 37}{space 1}    3.17{col 46}{space 3}0.002{col 54}{space 4} .0104174{col 67}{space 3} .0447144
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} .0035564{col 26}{space 2} .0191754{col 37}{space 1}    0.19{col 46}{space 3}0.853{col 54}{space 4}-.0342728{col 67}{space 3} .0413856
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull = .1{p_end}

{txt}       F(  1,   186) ={res}   11.34
{txt}{col 13}Prob > F ={res}    0.0009

{p 0 7}{space 1}{text:( 1)}{space 1} treatfull = -.1{p_end}

{txt}       F(  1,   186) ={res}   14.19
{txt}{col 13}Prob > F ={res}    0.0002
{txt}note: b_commtg_z_d omitted because of collinearity
{res}
{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}     7,288
{txt}{col 49}F({res}   8{txt},{res}    186{txt}){col 67}= {res}     11.69
{txt}{col 49}Prob > F{col 67}= {res}    0.0000
{txt}{col 49}R-squared{col 67}= {res}    0.0961
{txt}{col 49}Adj R-squared{col 67}= {res}    0.0933
{txt}{col 49}Root MSE{col 67}= {res}    0.5588

{txt}{ralign 78:(Std. Err. adjusted for {res:187} clusters in hc_id)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}  e_commtg_z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2} .0055923{col 26}{space 2} .0280309{col 37}{space 1}    0.20{col 46}{space 3}0.842{col 54}{space 4}-.0497072{col 67}{space 3} .0608917
{txt}{space 2}b_commtg_z {c |}{col 14}{res}{space 2} .0757774{col 26}{space 2} .0135575{col 37}{space 1}    5.59{col 46}{space 3}0.000{col 54}{space 4} .0490312{col 67}{space 3} .1025235
{txt}b_commtg_z_d {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 1}c_tfull_hc2 {c |}{col 14}{res}{space 2} .1239928{col 26}{space 2} .0320277{col 37}{space 1}    3.87{col 46}{space 3}0.000{col 54}{space 4} .0608085{col 67}{space 3} .1871772
{txt}c_tfull_b_~l {c |}{col 14}{res}{space 2} .0852744{col 26}{space 2} .0385592{col 37}{space 1}    2.21{col 46}{space 3}0.028{col 54}{space 4} .0092047{col 67}{space 3} .1613441
{txt}c_tfull_b_~s {c |}{col 14}{res}{space 2} .0054989{col 26}{space 2}    .0554{col 37}{space 1}    0.10{col 46}{space 3}0.921{col 54}{space 4}-.1037943{col 67}{space 3} .1147921
{txt}c_tfull_b_~d {c |}{col 14}{res}{space 2}   .09122{col 26}{space 2}  .032878{col 37}{space 1}    2.77{col 46}{space 3}0.006{col 54}{space 4} .0263583{col 67}{space 3} .1560817
{txt}c_tfull_ed~r {c |}{col 14}{res}{space 2} .0045883{col 26}{space 2} .0016172{col 37}{space 1}    2.84{col 46}{space 3}0.005{col 54}{space 4}  .001398{col 67}{space 3} .0077787
{txt}c_tfull_b_~x {c |}{col 14}{res}{space 2} .0275659{col 26}{space 2} .0086925{col 37}{space 1}    3.17{col 46}{space 3}0.002{col 54}{space 4} .0104174{col 67}{space 3} .0447144
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} .0035564{col 26}{space 2} .0191754{col 37}{space 1}    0.19{col 46}{space 3}0.853{col 54}{space 4}-.0342728{col 67}{space 3} .0413856
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull = .101{p_end}

{txt}       F(  1,   186) ={res}   11.58
{txt}{col 13}Prob > F ={res}    0.0008

{p 0 7}{space 1}{text:( 1)}{space 1} treatfull = -.101{p_end}

{txt}       F(  1,   186) ={res}   14.46
{txt}{col 13}Prob > F ={res}    0.0002
{txt}note: b_commtg_z_d omitted because of collinearity
{res}
{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}     7,288
{txt}{col 49}F({res}   8{txt},{res}    186{txt}){col 67}= {res}     11.69
{txt}{col 49}Prob > F{col 67}= {res}    0.0000
{txt}{col 49}R-squared{col 67}= {res}    0.0961
{txt}{col 49}Adj R-squared{col 67}= {res}    0.0933
{txt}{col 49}Root MSE{col 67}= {res}    0.5588

{txt}{ralign 78:(Std. Err. adjusted for {res:187} clusters in hc_id)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}  e_commtg_z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2} .0055923{col 26}{space 2} .0280309{col 37}{space 1}    0.20{col 46}{space 3}0.842{col 54}{space 4}-.0497072{col 67}{space 3} .0608917
{txt}{space 2}b_commtg_z {c |}{col 14}{res}{space 2} .0757774{col 26}{space 2} .0135575{col 37}{space 1}    5.59{col 46}{space 3}0.000{col 54}{space 4} .0490312{col 67}{space 3} .1025235
{txt}b_commtg_z_d {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 1}c_tfull_hc2 {c |}{col 14}{res}{space 2} .1239928{col 26}{space 2} .0320277{col 37}{space 1}    3.87{col 46}{space 3}0.000{col 54}{space 4} .0608085{col 67}{space 3} .1871772
{txt}c_tfull_b_~l {c |}{col 14}{res}{space 2} .0852744{col 26}{space 2} .0385592{col 37}{space 1}    2.21{col 46}{space 3}0.028{col 54}{space 4} .0092047{col 67}{space 3} .1613441
{txt}c_tfull_b_~s {c |}{col 14}{res}{space 2} .0054989{col 26}{space 2}    .0554{col 37}{space 1}    0.10{col 46}{space 3}0.921{col 54}{space 4}-.1037943{col 67}{space 3} .1147921
{txt}c_tfull_b_~d {c |}{col 14}{res}{space 2}   .09122{col 26}{space 2}  .032878{col 37}{space 1}    2.77{col 46}{space 3}0.006{col 54}{space 4} .0263583{col 67}{space 3} .1560817
{txt}c_tfull_ed~r {c |}{col 14}{res}{space 2} .0045883{col 26}{space 2} .0016172{col 37}{space 1}    2.84{col 46}{space 3}0.005{col 54}{space 4}  .001398{col 67}{space 3} .0077787
{txt}c_tfull_b_~x {c |}{col 14}{res}{space 2} .0275659{col 26}{space 2} .0086925{col 37}{space 1}    3.17{col 46}{space 3}0.002{col 54}{space 4} .0104174{col 67}{space 3} .0447144
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} .0035564{col 26}{space 2} .0191754{col 37}{space 1}    0.19{col 46}{space 3}0.853{col 54}{space 4}-.0342728{col 67}{space 3} .0413856
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull = .102{p_end}

{txt}       F(  1,   186) ={res}   11.83
{txt}{col 13}Prob > F ={res}    0.0007

{p 0 7}{space 1}{text:( 1)}{space 1} treatfull = -.102{p_end}

{txt}       F(  1,   186) ={res}   14.73
{txt}{col 13}Prob > F ={res}    0.0002
{txt}note: b_commtg_z_d omitted because of collinearity
{res}
{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}     7,288
{txt}{col 49}F({res}   8{txt},{res}    186{txt}){col 67}= {res}     11.69
{txt}{col 49}Prob > F{col 67}= {res}    0.0000
{txt}{col 49}R-squared{col 67}= {res}    0.0961
{txt}{col 49}Adj R-squared{col 67}= {res}    0.0933
{txt}{col 49}Root MSE{col 67}= {res}    0.5588

{txt}{ralign 78:(Std. Err. adjusted for {res:187} clusters in hc_id)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}  e_commtg_z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2} .0055923{col 26}{space 2} .0280309{col 37}{space 1}    0.20{col 46}{space 3}0.842{col 54}{space 4}-.0497072{col 67}{space 3} .0608917
{txt}{space 2}b_commtg_z {c |}{col 14}{res}{space 2} .0757774{col 26}{space 2} .0135575{col 37}{space 1}    5.59{col 46}{space 3}0.000{col 54}{space 4} .0490312{col 67}{space 3} .1025235
{txt}b_commtg_z_d {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 1}c_tfull_hc2 {c |}{col 14}{res}{space 2} .1239928{col 26}{space 2} .0320277{col 37}{space 1}    3.87{col 46}{space 3}0.000{col 54}{space 4} .0608085{col 67}{space 3} .1871772
{txt}c_tfull_b_~l {c |}{col 14}{res}{space 2} .0852744{col 26}{space 2} .0385592{col 37}{space 1}    2.21{col 46}{space 3}0.028{col 54}{space 4} .0092047{col 67}{space 3} .1613441
{txt}c_tfull_b_~s {c |}{col 14}{res}{space 2} .0054989{col 26}{space 2}    .0554{col 37}{space 1}    0.10{col 46}{space 3}0.921{col 54}{space 4}-.1037943{col 67}{space 3} .1147921
{txt}c_tfull_b_~d {c |}{col 14}{res}{space 2}   .09122{col 26}{space 2}  .032878{col 37}{space 1}    2.77{col 46}{space 3}0.006{col 54}{space 4} .0263583{col 67}{space 3} .1560817
{txt}c_tfull_ed~r {c |}{col 14}{res}{space 2} .0045883{col 26}{space 2} .0016172{col 37}{space 1}    2.84{col 46}{space 3}0.005{col 54}{space 4}  .001398{col 67}{space 3} .0077787
{txt}c_tfull_b_~x {c |}{col 14}{res}{space 2} .0275659{col 26}{space 2} .0086925{col 37}{space 1}    3.17{col 46}{space 3}0.002{col 54}{space 4} .0104174{col 67}{space 3} .0447144
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} .0035564{col 26}{space 2} .0191754{col 37}{space 1}    0.19{col 46}{space 3}0.853{col 54}{space 4}-.0342728{col 67}{space 3} .0413856
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull = .103{p_end}

{txt}       F(  1,   186) ={res}   12.08
{txt}{col 13}Prob > F ={res}    0.0006

{p 0 7}{space 1}{text:( 1)}{space 1} treatfull = -.103{p_end}

{txt}       F(  1,   186) ={res}   15.01
{txt}{col 13}Prob > F ={res}    0.0001
{txt}note: b_commtg_z_d omitted because of collinearity
{res}
{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}     7,288
{txt}{col 49}F({res}   8{txt},{res}    186{txt}){col 67}= {res}     11.69
{txt}{col 49}Prob > F{col 67}= {res}    0.0000
{txt}{col 49}R-squared{col 67}= {res}    0.0961
{txt}{col 49}Adj R-squared{col 67}= {res}    0.0933
{txt}{col 49}Root MSE{col 67}= {res}    0.5588

{txt}{ralign 78:(Std. Err. adjusted for {res:187} clusters in hc_id)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}  e_commtg_z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2} .0055923{col 26}{space 2} .0280309{col 37}{space 1}    0.20{col 46}{space 3}0.842{col 54}{space 4}-.0497072{col 67}{space 3} .0608917
{txt}{space 2}b_commtg_z {c |}{col 14}{res}{space 2} .0757774{col 26}{space 2} .0135575{col 37}{space 1}    5.59{col 46}{space 3}0.000{col 54}{space 4} .0490312{col 67}{space 3} .1025235
{txt}b_commtg_z_d {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 1}c_tfull_hc2 {c |}{col 14}{res}{space 2} .1239928{col 26}{space 2} .0320277{col 37}{space 1}    3.87{col 46}{space 3}0.000{col 54}{space 4} .0608085{col 67}{space 3} .1871772
{txt}c_tfull_b_~l {c |}{col 14}{res}{space 2} .0852744{col 26}{space 2} .0385592{col 37}{space 1}    2.21{col 46}{space 3}0.028{col 54}{space 4} .0092047{col 67}{space 3} .1613441
{txt}c_tfull_b_~s {c |}{col 14}{res}{space 2} .0054989{col 26}{space 2}    .0554{col 37}{space 1}    0.10{col 46}{space 3}0.921{col 54}{space 4}-.1037943{col 67}{space 3} .1147921
{txt}c_tfull_b_~d {c |}{col 14}{res}{space 2}   .09122{col 26}{space 2}  .032878{col 37}{space 1}    2.77{col 46}{space 3}0.006{col 54}{space 4} .0263583{col 67}{space 3} .1560817
{txt}c_tfull_ed~r {c |}{col 14}{res}{space 2} .0045883{col 26}{space 2} .0016172{col 37}{space 1}    2.84{col 46}{space 3}0.005{col 54}{space 4}  .001398{col 67}{space 3} .0077787
{txt}c_tfull_b_~x {c |}{col 14}{res}{space 2} .0275659{col 26}{space 2} .0086925{col 37}{space 1}    3.17{col 46}{space 3}0.002{col 54}{space 4} .0104174{col 67}{space 3} .0447144
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} .0035564{col 26}{space 2} .0191754{col 37}{space 1}    0.19{col 46}{space 3}0.853{col 54}{space 4}-.0342728{col 67}{space 3} .0413856
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull = .104{p_end}

{txt}       F(  1,   186) ={res}   12.32
{txt}{col 13}Prob > F ={res}    0.0006

{p 0 7}{space 1}{text:( 1)}{space 1} treatfull = -.104{p_end}

{txt}       F(  1,   186) ={res}   15.29
{txt}{col 13}Prob > F ={res}    0.0001
{txt}note: b_commtg_z_d omitted because of collinearity
{res}
{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}     7,288
{txt}{col 49}F({res}   8{txt},{res}    186{txt}){col 67}= {res}     11.69
{txt}{col 49}Prob > F{col 67}= {res}    0.0000
{txt}{col 49}R-squared{col 67}= {res}    0.0961
{txt}{col 49}Adj R-squared{col 67}= {res}    0.0933
{txt}{col 49}Root MSE{col 67}= {res}    0.5588

{txt}{ralign 78:(Std. Err. adjusted for {res:187} clusters in hc_id)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}  e_commtg_z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2} .0055923{col 26}{space 2} .0280309{col 37}{space 1}    0.20{col 46}{space 3}0.842{col 54}{space 4}-.0497072{col 67}{space 3} .0608917
{txt}{space 2}b_commtg_z {c |}{col 14}{res}{space 2} .0757774{col 26}{space 2} .0135575{col 37}{space 1}    5.59{col 46}{space 3}0.000{col 54}{space 4} .0490312{col 67}{space 3} .1025235
{txt}b_commtg_z_d {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 1}c_tfull_hc2 {c |}{col 14}{res}{space 2} .1239928{col 26}{space 2} .0320277{col 37}{space 1}    3.87{col 46}{space 3}0.000{col 54}{space 4} .0608085{col 67}{space 3} .1871772
{txt}c_tfull_b_~l {c |}{col 14}{res}{space 2} .0852744{col 26}{space 2} .0385592{col 37}{space 1}    2.21{col 46}{space 3}0.028{col 54}{space 4} .0092047{col 67}{space 3} .1613441
{txt}c_tfull_b_~s {c |}{col 14}{res}{space 2} .0054989{col 26}{space 2}    .0554{col 37}{space 1}    0.10{col 46}{space 3}0.921{col 54}{space 4}-.1037943{col 67}{space 3} .1147921
{txt}c_tfull_b_~d {c |}{col 14}{res}{space 2}   .09122{col 26}{space 2}  .032878{col 37}{space 1}    2.77{col 46}{space 3}0.006{col 54}{space 4} .0263583{col 67}{space 3} .1560817
{txt}c_tfull_ed~r {c |}{col 14}{res}{space 2} .0045883{col 26}{space 2} .0016172{col 37}{space 1}    2.84{col 46}{space 3}0.005{col 54}{space 4}  .001398{col 67}{space 3} .0077787
{txt}c_tfull_b_~x {c |}{col 14}{res}{space 2} .0275659{col 26}{space 2} .0086925{col 37}{space 1}    3.17{col 46}{space 3}0.002{col 54}{space 4} .0104174{col 67}{space 3} .0447144
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} .0035564{col 26}{space 2} .0191754{col 37}{space 1}    0.19{col 46}{space 3}0.853{col 54}{space 4}-.0342728{col 67}{space 3} .0413856
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull = .105{p_end}

{txt}       F(  1,   186) ={res}   12.58
{txt}{col 13}Prob > F ={res}    0.0005

{p 0 7}{space 1}{text:( 1)}{space 1} treatfull = -.105{p_end}

{txt}       F(  1,   186) ={res}   15.57
{txt}{col 13}Prob > F ={res}    0.0001
{txt}note: b_commtg_z_d omitted because of collinearity
{res}
{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}     7,288
{txt}{col 49}F({res}   8{txt},{res}    186{txt}){col 67}= {res}     11.69
{txt}{col 49}Prob > F{col 67}= {res}    0.0000
{txt}{col 49}R-squared{col 67}= {res}    0.0961
{txt}{col 49}Adj R-squared{col 67}= {res}    0.0933
{txt}{col 49}Root MSE{col 67}= {res}    0.5588

{txt}{ralign 78:(Std. Err. adjusted for {res:187} clusters in hc_id)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}  e_commtg_z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2} .0055923{col 26}{space 2} .0280309{col 37}{space 1}    0.20{col 46}{space 3}0.842{col 54}{space 4}-.0497072{col 67}{space 3} .0608917
{txt}{space 2}b_commtg_z {c |}{col 14}{res}{space 2} .0757774{col 26}{space 2} .0135575{col 37}{space 1}    5.59{col 46}{space 3}0.000{col 54}{space 4} .0490312{col 67}{space 3} .1025235
{txt}b_commtg_z_d {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 1}c_tfull_hc2 {c |}{col 14}{res}{space 2} .1239928{col 26}{space 2} .0320277{col 37}{space 1}    3.87{col 46}{space 3}0.000{col 54}{space 4} .0608085{col 67}{space 3} .1871772
{txt}c_tfull_b_~l {c |}{col 14}{res}{space 2} .0852744{col 26}{space 2} .0385592{col 37}{space 1}    2.21{col 46}{space 3}0.028{col 54}{space 4} .0092047{col 67}{space 3} .1613441
{txt}c_tfull_b_~s {c |}{col 14}{res}{space 2} .0054989{col 26}{space 2}    .0554{col 37}{space 1}    0.10{col 46}{space 3}0.921{col 54}{space 4}-.1037943{col 67}{space 3} .1147921
{txt}c_tfull_b_~d {c |}{col 14}{res}{space 2}   .09122{col 26}{space 2}  .032878{col 37}{space 1}    2.77{col 46}{space 3}0.006{col 54}{space 4} .0263583{col 67}{space 3} .1560817
{txt}c_tfull_ed~r {c |}{col 14}{res}{space 2} .0045883{col 26}{space 2} .0016172{col 37}{space 1}    2.84{col 46}{space 3}0.005{col 54}{space 4}  .001398{col 67}{space 3} .0077787
{txt}c_tfull_b_~x {c |}{col 14}{res}{space 2} .0275659{col 26}{space 2} .0086925{col 37}{space 1}    3.17{col 46}{space 3}0.002{col 54}{space 4} .0104174{col 67}{space 3} .0447144
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} .0035564{col 26}{space 2} .0191754{col 37}{space 1}    0.19{col 46}{space 3}0.853{col 54}{space 4}-.0342728{col 67}{space 3} .0413856
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull = .106{p_end}

{txt}       F(  1,   186) ={res}   12.83
{txt}{col 13}Prob > F ={res}    0.0004

{p 0 7}{space 1}{text:( 1)}{space 1} treatfull = -.106{p_end}

{txt}       F(  1,   186) ={res}   15.85
{txt}{col 13}Prob > F ={res}    0.0001
{txt}note: b_commtg_z_d omitted because of collinearity
{res}
{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}     7,288
{txt}{col 49}F({res}   8{txt},{res}    186{txt}){col 67}= {res}     11.69
{txt}{col 49}Prob > F{col 67}= {res}    0.0000
{txt}{col 49}R-squared{col 67}= {res}    0.0961
{txt}{col 49}Adj R-squared{col 67}= {res}    0.0933
{txt}{col 49}Root MSE{col 67}= {res}    0.5588

{txt}{ralign 78:(Std. Err. adjusted for {res:187} clusters in hc_id)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}  e_commtg_z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2} .0055923{col 26}{space 2} .0280309{col 37}{space 1}    0.20{col 46}{space 3}0.842{col 54}{space 4}-.0497072{col 67}{space 3} .0608917
{txt}{space 2}b_commtg_z {c |}{col 14}{res}{space 2} .0757774{col 26}{space 2} .0135575{col 37}{space 1}    5.59{col 46}{space 3}0.000{col 54}{space 4} .0490312{col 67}{space 3} .1025235
{txt}b_commtg_z_d {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 1}c_tfull_hc2 {c |}{col 14}{res}{space 2} .1239928{col 26}{space 2} .0320277{col 37}{space 1}    3.87{col 46}{space 3}0.000{col 54}{space 4} .0608085{col 67}{space 3} .1871772
{txt}c_tfull_b_~l {c |}{col 14}{res}{space 2} .0852744{col 26}{space 2} .0385592{col 37}{space 1}    2.21{col 46}{space 3}0.028{col 54}{space 4} .0092047{col 67}{space 3} .1613441
{txt}c_tfull_b_~s {c |}{col 14}{res}{space 2} .0054989{col 26}{space 2}    .0554{col 37}{space 1}    0.10{col 46}{space 3}0.921{col 54}{space 4}-.1037943{col 67}{space 3} .1147921
{txt}c_tfull_b_~d {c |}{col 14}{res}{space 2}   .09122{col 26}{space 2}  .032878{col 37}{space 1}    2.77{col 46}{space 3}0.006{col 54}{space 4} .0263583{col 67}{space 3} .1560817
{txt}c_tfull_ed~r {c |}{col 14}{res}{space 2} .0045883{col 26}{space 2} .0016172{col 37}{space 1}    2.84{col 46}{space 3}0.005{col 54}{space 4}  .001398{col 67}{space 3} .0077787
{txt}c_tfull_b_~x {c |}{col 14}{res}{space 2} .0275659{col 26}{space 2} .0086925{col 37}{space 1}    3.17{col 46}{space 3}0.002{col 54}{space 4} .0104174{col 67}{space 3} .0447144
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} .0035564{col 26}{space 2} .0191754{col 37}{space 1}    0.19{col 46}{space 3}0.853{col 54}{space 4}-.0342728{col 67}{space 3} .0413856
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull = .107{p_end}

{txt}       F(  1,   186) ={res}   13.09
{txt}{col 13}Prob > F ={res}    0.0004

{p 0 7}{space 1}{text:( 1)}{space 1} treatfull = -.107{p_end}

{txt}       F(  1,   186) ={res}   16.13
{txt}{col 13}Prob > F ={res}    0.0001
{txt}note: b_commtg_z_d omitted because of collinearity
{res}
{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}     7,288
{txt}{col 49}F({res}   8{txt},{res}    186{txt}){col 67}= {res}     11.69
{txt}{col 49}Prob > F{col 67}= {res}    0.0000
{txt}{col 49}R-squared{col 67}= {res}    0.0961
{txt}{col 49}Adj R-squared{col 67}= {res}    0.0933
{txt}{col 49}Root MSE{col 67}= {res}    0.5588

{txt}{ralign 78:(Std. Err. adjusted for {res:187} clusters in hc_id)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}  e_commtg_z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2} .0055923{col 26}{space 2} .0280309{col 37}{space 1}    0.20{col 46}{space 3}0.842{col 54}{space 4}-.0497072{col 67}{space 3} .0608917
{txt}{space 2}b_commtg_z {c |}{col 14}{res}{space 2} .0757774{col 26}{space 2} .0135575{col 37}{space 1}    5.59{col 46}{space 3}0.000{col 54}{space 4} .0490312{col 67}{space 3} .1025235
{txt}b_commtg_z_d {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 1}c_tfull_hc2 {c |}{col 14}{res}{space 2} .1239928{col 26}{space 2} .0320277{col 37}{space 1}    3.87{col 46}{space 3}0.000{col 54}{space 4} .0608085{col 67}{space 3} .1871772
{txt}c_tfull_b_~l {c |}{col 14}{res}{space 2} .0852744{col 26}{space 2} .0385592{col 37}{space 1}    2.21{col 46}{space 3}0.028{col 54}{space 4} .0092047{col 67}{space 3} .1613441
{txt}c_tfull_b_~s {c |}{col 14}{res}{space 2} .0054989{col 26}{space 2}    .0554{col 37}{space 1}    0.10{col 46}{space 3}0.921{col 54}{space 4}-.1037943{col 67}{space 3} .1147921
{txt}c_tfull_b_~d {c |}{col 14}{res}{space 2}   .09122{col 26}{space 2}  .032878{col 37}{space 1}    2.77{col 46}{space 3}0.006{col 54}{space 4} .0263583{col 67}{space 3} .1560817
{txt}c_tfull_ed~r {c |}{col 14}{res}{space 2} .0045883{col 26}{space 2} .0016172{col 37}{space 1}    2.84{col 46}{space 3}0.005{col 54}{space 4}  .001398{col 67}{space 3} .0077787
{txt}c_tfull_b_~x {c |}{col 14}{res}{space 2} .0275659{col 26}{space 2} .0086925{col 37}{space 1}    3.17{col 46}{space 3}0.002{col 54}{space 4} .0104174{col 67}{space 3} .0447144
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} .0035564{col 26}{space 2} .0191754{col 37}{space 1}    0.19{col 46}{space 3}0.853{col 54}{space 4}-.0342728{col 67}{space 3} .0413856
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull = .108{p_end}

{txt}       F(  1,   186) ={res}   13.35
{txt}{col 13}Prob > F ={res}    0.0003

{p 0 7}{space 1}{text:( 1)}{space 1} treatfull = -.108{p_end}

{txt}       F(  1,   186) ={res}   16.42
{txt}{col 13}Prob > F ={res}    0.0001
{txt}note: b_commtg_z_d omitted because of collinearity
{res}
{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}     7,288
{txt}{col 49}F({res}   8{txt},{res}    186{txt}){col 67}= {res}     11.69
{txt}{col 49}Prob > F{col 67}= {res}    0.0000
{txt}{col 49}R-squared{col 67}= {res}    0.0961
{txt}{col 49}Adj R-squared{col 67}= {res}    0.0933
{txt}{col 49}Root MSE{col 67}= {res}    0.5588

{txt}{ralign 78:(Std. Err. adjusted for {res:187} clusters in hc_id)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}  e_commtg_z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2} .0055923{col 26}{space 2} .0280309{col 37}{space 1}    0.20{col 46}{space 3}0.842{col 54}{space 4}-.0497072{col 67}{space 3} .0608917
{txt}{space 2}b_commtg_z {c |}{col 14}{res}{space 2} .0757774{col 26}{space 2} .0135575{col 37}{space 1}    5.59{col 46}{space 3}0.000{col 54}{space 4} .0490312{col 67}{space 3} .1025235
{txt}b_commtg_z_d {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 1}c_tfull_hc2 {c |}{col 14}{res}{space 2} .1239928{col 26}{space 2} .0320277{col 37}{space 1}    3.87{col 46}{space 3}0.000{col 54}{space 4} .0608085{col 67}{space 3} .1871772
{txt}c_tfull_b_~l {c |}{col 14}{res}{space 2} .0852744{col 26}{space 2} .0385592{col 37}{space 1}    2.21{col 46}{space 3}0.028{col 54}{space 4} .0092047{col 67}{space 3} .1613441
{txt}c_tfull_b_~s {c |}{col 14}{res}{space 2} .0054989{col 26}{space 2}    .0554{col 37}{space 1}    0.10{col 46}{space 3}0.921{col 54}{space 4}-.1037943{col 67}{space 3} .1147921
{txt}c_tfull_b_~d {c |}{col 14}{res}{space 2}   .09122{col 26}{space 2}  .032878{col 37}{space 1}    2.77{col 46}{space 3}0.006{col 54}{space 4} .0263583{col 67}{space 3} .1560817
{txt}c_tfull_ed~r {c |}{col 14}{res}{space 2} .0045883{col 26}{space 2} .0016172{col 37}{space 1}    2.84{col 46}{space 3}0.005{col 54}{space 4}  .001398{col 67}{space 3} .0077787
{txt}c_tfull_b_~x {c |}{col 14}{res}{space 2} .0275659{col 26}{space 2} .0086925{col 37}{space 1}    3.17{col 46}{space 3}0.002{col 54}{space 4} .0104174{col 67}{space 3} .0447144
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} .0035564{col 26}{space 2} .0191754{col 37}{space 1}    0.19{col 46}{space 3}0.853{col 54}{space 4}-.0342728{col 67}{space 3} .0413856
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull = .109{p_end}

{txt}       F(  1,   186) ={res}   13.61
{txt}{col 13}Prob > F ={res}    0.0003

{p 0 7}{space 1}{text:( 1)}{space 1} treatfull = -.109{p_end}

{txt}       F(  1,   186) ={res}   16.71
{txt}{col 13}Prob > F ={res}    0.0001
{txt}note: b_commtg_z_d omitted because of collinearity
{res}
{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}     7,288
{txt}{col 49}F({res}   8{txt},{res}    186{txt}){col 67}= {res}     11.69
{txt}{col 49}Prob > F{col 67}= {res}    0.0000
{txt}{col 49}R-squared{col 67}= {res}    0.0961
{txt}{col 49}Adj R-squared{col 67}= {res}    0.0933
{txt}{col 49}Root MSE{col 67}= {res}    0.5588

{txt}{ralign 78:(Std. Err. adjusted for {res:187} clusters in hc_id)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}  e_commtg_z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2} .0055923{col 26}{space 2} .0280309{col 37}{space 1}    0.20{col 46}{space 3}0.842{col 54}{space 4}-.0497072{col 67}{space 3} .0608917
{txt}{space 2}b_commtg_z {c |}{col 14}{res}{space 2} .0757774{col 26}{space 2} .0135575{col 37}{space 1}    5.59{col 46}{space 3}0.000{col 54}{space 4} .0490312{col 67}{space 3} .1025235
{txt}b_commtg_z_d {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 1}c_tfull_hc2 {c |}{col 14}{res}{space 2} .1239928{col 26}{space 2} .0320277{col 37}{space 1}    3.87{col 46}{space 3}0.000{col 54}{space 4} .0608085{col 67}{space 3} .1871772
{txt}c_tfull_b_~l {c |}{col 14}{res}{space 2} .0852744{col 26}{space 2} .0385592{col 37}{space 1}    2.21{col 46}{space 3}0.028{col 54}{space 4} .0092047{col 67}{space 3} .1613441
{txt}c_tfull_b_~s {c |}{col 14}{res}{space 2} .0054989{col 26}{space 2}    .0554{col 37}{space 1}    0.10{col 46}{space 3}0.921{col 54}{space 4}-.1037943{col 67}{space 3} .1147921
{txt}c_tfull_b_~d {c |}{col 14}{res}{space 2}   .09122{col 26}{space 2}  .032878{col 37}{space 1}    2.77{col 46}{space 3}0.006{col 54}{space 4} .0263583{col 67}{space 3} .1560817
{txt}c_tfull_ed~r {c |}{col 14}{res}{space 2} .0045883{col 26}{space 2} .0016172{col 37}{space 1}    2.84{col 46}{space 3}0.005{col 54}{space 4}  .001398{col 67}{space 3} .0077787
{txt}c_tfull_b_~x {c |}{col 14}{res}{space 2} .0275659{col 26}{space 2} .0086925{col 37}{space 1}    3.17{col 46}{space 3}0.002{col 54}{space 4} .0104174{col 67}{space 3} .0447144
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} .0035564{col 26}{space 2} .0191754{col 37}{space 1}    0.19{col 46}{space 3}0.853{col 54}{space 4}-.0342728{col 67}{space 3} .0413856
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull = .11{p_end}

{txt}       F(  1,   186) ={res}   13.87
{txt}{col 13}Prob > F ={res}    0.0003

{p 0 7}{space 1}{text:( 1)}{space 1} treatfull = -.11{p_end}

{txt}       F(  1,   186) ={res}   17.01
{txt}{col 13}Prob > F ={res}    0.0001
{txt}note: b_commtg_z_d omitted because of collinearity
{res}
{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}     7,288
{txt}{col 49}F({res}   8{txt},{res}    186{txt}){col 67}= {res}     11.69
{txt}{col 49}Prob > F{col 67}= {res}    0.0000
{txt}{col 49}R-squared{col 67}= {res}    0.0961
{txt}{col 49}Adj R-squared{col 67}= {res}    0.0933
{txt}{col 49}Root MSE{col 67}= {res}    0.5588

{txt}{ralign 78:(Std. Err. adjusted for {res:187} clusters in hc_id)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}  e_commtg_z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2} .0055923{col 26}{space 2} .0280309{col 37}{space 1}    0.20{col 46}{space 3}0.842{col 54}{space 4}-.0497072{col 67}{space 3} .0608917
{txt}{space 2}b_commtg_z {c |}{col 14}{res}{space 2} .0757774{col 26}{space 2} .0135575{col 37}{space 1}    5.59{col 46}{space 3}0.000{col 54}{space 4} .0490312{col 67}{space 3} .1025235
{txt}b_commtg_z_d {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 1}c_tfull_hc2 {c |}{col 14}{res}{space 2} .1239928{col 26}{space 2} .0320277{col 37}{space 1}    3.87{col 46}{space 3}0.000{col 54}{space 4} .0608085{col 67}{space 3} .1871772
{txt}c_tfull_b_~l {c |}{col 14}{res}{space 2} .0852744{col 26}{space 2} .0385592{col 37}{space 1}    2.21{col 46}{space 3}0.028{col 54}{space 4} .0092047{col 67}{space 3} .1613441
{txt}c_tfull_b_~s {c |}{col 14}{res}{space 2} .0054989{col 26}{space 2}    .0554{col 37}{space 1}    0.10{col 46}{space 3}0.921{col 54}{space 4}-.1037943{col 67}{space 3} .1147921
{txt}c_tfull_b_~d {c |}{col 14}{res}{space 2}   .09122{col 26}{space 2}  .032878{col 37}{space 1}    2.77{col 46}{space 3}0.006{col 54}{space 4} .0263583{col 67}{space 3} .1560817
{txt}c_tfull_ed~r {c |}{col 14}{res}{space 2} .0045883{col 26}{space 2} .0016172{col 37}{space 1}    2.84{col 46}{space 3}0.005{col 54}{space 4}  .001398{col 67}{space 3} .0077787
{txt}c_tfull_b_~x {c |}{col 14}{res}{space 2} .0275659{col 26}{space 2} .0086925{col 37}{space 1}    3.17{col 46}{space 3}0.002{col 54}{space 4} .0104174{col 67}{space 3} .0447144
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} .0035564{col 26}{space 2} .0191754{col 37}{space 1}    0.19{col 46}{space 3}0.853{col 54}{space 4}-.0342728{col 67}{space 3} .0413856
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull = .111{p_end}

{txt}       F(  1,   186) ={res}   14.14
{txt}{col 13}Prob > F ={res}    0.0002

{p 0 7}{space 1}{text:( 1)}{space 1} treatfull = -.111{p_end}

{txt}       F(  1,   186) ={res}   17.30
{txt}{col 13}Prob > F ={res}    0.0000
{txt}note: b_commtg_z_d omitted because of collinearity
{res}
{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}     7,288
{txt}{col 49}F({res}   8{txt},{res}    186{txt}){col 67}= {res}     11.69
{txt}{col 49}Prob > F{col 67}= {res}    0.0000
{txt}{col 49}R-squared{col 67}= {res}    0.0961
{txt}{col 49}Adj R-squared{col 67}= {res}    0.0933
{txt}{col 49}Root MSE{col 67}= {res}    0.5588

{txt}{ralign 78:(Std. Err. adjusted for {res:187} clusters in hc_id)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}  e_commtg_z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2} .0055923{col 26}{space 2} .0280309{col 37}{space 1}    0.20{col 46}{space 3}0.842{col 54}{space 4}-.0497072{col 67}{space 3} .0608917
{txt}{space 2}b_commtg_z {c |}{col 14}{res}{space 2} .0757774{col 26}{space 2} .0135575{col 37}{space 1}    5.59{col 46}{space 3}0.000{col 54}{space 4} .0490312{col 67}{space 3} .1025235
{txt}b_commtg_z_d {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 1}c_tfull_hc2 {c |}{col 14}{res}{space 2} .1239928{col 26}{space 2} .0320277{col 37}{space 1}    3.87{col 46}{space 3}0.000{col 54}{space 4} .0608085{col 67}{space 3} .1871772
{txt}c_tfull_b_~l {c |}{col 14}{res}{space 2} .0852744{col 26}{space 2} .0385592{col 37}{space 1}    2.21{col 46}{space 3}0.028{col 54}{space 4} .0092047{col 67}{space 3} .1613441
{txt}c_tfull_b_~s {c |}{col 14}{res}{space 2} .0054989{col 26}{space 2}    .0554{col 37}{space 1}    0.10{col 46}{space 3}0.921{col 54}{space 4}-.1037943{col 67}{space 3} .1147921
{txt}c_tfull_b_~d {c |}{col 14}{res}{space 2}   .09122{col 26}{space 2}  .032878{col 37}{space 1}    2.77{col 46}{space 3}0.006{col 54}{space 4} .0263583{col 67}{space 3} .1560817
{txt}c_tfull_ed~r {c |}{col 14}{res}{space 2} .0045883{col 26}{space 2} .0016172{col 37}{space 1}    2.84{col 46}{space 3}0.005{col 54}{space 4}  .001398{col 67}{space 3} .0077787
{txt}c_tfull_b_~x {c |}{col 14}{res}{space 2} .0275659{col 26}{space 2} .0086925{col 37}{space 1}    3.17{col 46}{space 3}0.002{col 54}{space 4} .0104174{col 67}{space 3} .0447144
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} .0035564{col 26}{space 2} .0191754{col 37}{space 1}    0.19{col 46}{space 3}0.853{col 54}{space 4}-.0342728{col 67}{space 3} .0413856
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull = .112{p_end}

{txt}       F(  1,   186) ={res}   14.41
{txt}{col 13}Prob > F ={res}    0.0002

{p 0 7}{space 1}{text:( 1)}{space 1} treatfull = -.112{p_end}

{txt}       F(  1,   186) ={res}   17.60
{txt}{col 13}Prob > F ={res}    0.0000
{txt}note: b_commtg_z_d omitted because of collinearity
{res}
{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}     7,288
{txt}{col 49}F({res}   8{txt},{res}    186{txt}){col 67}= {res}     11.69
{txt}{col 49}Prob > F{col 67}= {res}    0.0000
{txt}{col 49}R-squared{col 67}= {res}    0.0961
{txt}{col 49}Adj R-squared{col 67}= {res}    0.0933
{txt}{col 49}Root MSE{col 67}= {res}    0.5588

{txt}{ralign 78:(Std. Err. adjusted for {res:187} clusters in hc_id)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}  e_commtg_z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2} .0055923{col 26}{space 2} .0280309{col 37}{space 1}    0.20{col 46}{space 3}0.842{col 54}{space 4}-.0497072{col 67}{space 3} .0608917
{txt}{space 2}b_commtg_z {c |}{col 14}{res}{space 2} .0757774{col 26}{space 2} .0135575{col 37}{space 1}    5.59{col 46}{space 3}0.000{col 54}{space 4} .0490312{col 67}{space 3} .1025235
{txt}b_commtg_z_d {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 1}c_tfull_hc2 {c |}{col 14}{res}{space 2} .1239928{col 26}{space 2} .0320277{col 37}{space 1}    3.87{col 46}{space 3}0.000{col 54}{space 4} .0608085{col 67}{space 3} .1871772
{txt}c_tfull_b_~l {c |}{col 14}{res}{space 2} .0852744{col 26}{space 2} .0385592{col 37}{space 1}    2.21{col 46}{space 3}0.028{col 54}{space 4} .0092047{col 67}{space 3} .1613441
{txt}c_tfull_b_~s {c |}{col 14}{res}{space 2} .0054989{col 26}{space 2}    .0554{col 37}{space 1}    0.10{col 46}{space 3}0.921{col 54}{space 4}-.1037943{col 67}{space 3} .1147921
{txt}c_tfull_b_~d {c |}{col 14}{res}{space 2}   .09122{col 26}{space 2}  .032878{col 37}{space 1}    2.77{col 46}{space 3}0.006{col 54}{space 4} .0263583{col 67}{space 3} .1560817
{txt}c_tfull_ed~r {c |}{col 14}{res}{space 2} .0045883{col 26}{space 2} .0016172{col 37}{space 1}    2.84{col 46}{space 3}0.005{col 54}{space 4}  .001398{col 67}{space 3} .0077787
{txt}c_tfull_b_~x {c |}{col 14}{res}{space 2} .0275659{col 26}{space 2} .0086925{col 37}{space 1}    3.17{col 46}{space 3}0.002{col 54}{space 4} .0104174{col 67}{space 3} .0447144
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} .0035564{col 26}{space 2} .0191754{col 37}{space 1}    0.19{col 46}{space 3}0.853{col 54}{space 4}-.0342728{col 67}{space 3} .0413856
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull = .113{p_end}

{txt}       F(  1,   186) ={res}   14.68
{txt}{col 13}Prob > F ={res}    0.0002

{p 0 7}{space 1}{text:( 1)}{space 1} treatfull = -.113{p_end}

{txt}       F(  1,   186) ={res}   17.90
{txt}{col 13}Prob > F ={res}    0.0000
{txt}note: b_commtg_z_d omitted because of collinearity
{res}
{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}     7,288
{txt}{col 49}F({res}   8{txt},{res}    186{txt}){col 67}= {res}     11.69
{txt}{col 49}Prob > F{col 67}= {res}    0.0000
{txt}{col 49}R-squared{col 67}= {res}    0.0961
{txt}{col 49}Adj R-squared{col 67}= {res}    0.0933
{txt}{col 49}Root MSE{col 67}= {res}    0.5588

{txt}{ralign 78:(Std. Err. adjusted for {res:187} clusters in hc_id)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}  e_commtg_z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2} .0055923{col 26}{space 2} .0280309{col 37}{space 1}    0.20{col 46}{space 3}0.842{col 54}{space 4}-.0497072{col 67}{space 3} .0608917
{txt}{space 2}b_commtg_z {c |}{col 14}{res}{space 2} .0757774{col 26}{space 2} .0135575{col 37}{space 1}    5.59{col 46}{space 3}0.000{col 54}{space 4} .0490312{col 67}{space 3} .1025235
{txt}b_commtg_z_d {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 1}c_tfull_hc2 {c |}{col 14}{res}{space 2} .1239928{col 26}{space 2} .0320277{col 37}{space 1}    3.87{col 46}{space 3}0.000{col 54}{space 4} .0608085{col 67}{space 3} .1871772
{txt}c_tfull_b_~l {c |}{col 14}{res}{space 2} .0852744{col 26}{space 2} .0385592{col 37}{space 1}    2.21{col 46}{space 3}0.028{col 54}{space 4} .0092047{col 67}{space 3} .1613441
{txt}c_tfull_b_~s {c |}{col 14}{res}{space 2} .0054989{col 26}{space 2}    .0554{col 37}{space 1}    0.10{col 46}{space 3}0.921{col 54}{space 4}-.1037943{col 67}{space 3} .1147921
{txt}c_tfull_b_~d {c |}{col 14}{res}{space 2}   .09122{col 26}{space 2}  .032878{col 37}{space 1}    2.77{col 46}{space 3}0.006{col 54}{space 4} .0263583{col 67}{space 3} .1560817
{txt}c_tfull_ed~r {c |}{col 14}{res}{space 2} .0045883{col 26}{space 2} .0016172{col 37}{space 1}    2.84{col 46}{space 3}0.005{col 54}{space 4}  .001398{col 67}{space 3} .0077787
{txt}c_tfull_b_~x {c |}{col 14}{res}{space 2} .0275659{col 26}{space 2} .0086925{col 37}{space 1}    3.17{col 46}{space 3}0.002{col 54}{space 4} .0104174{col 67}{space 3} .0447144
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} .0035564{col 26}{space 2} .0191754{col 37}{space 1}    0.19{col 46}{space 3}0.853{col 54}{space 4}-.0342728{col 67}{space 3} .0413856
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull = .114{p_end}

{txt}       F(  1,   186) ={res}   14.96
{txt}{col 13}Prob > F ={res}    0.0002

{p 0 7}{space 1}{text:( 1)}{space 1} treatfull = -.114{p_end}

{txt}       F(  1,   186) ={res}   18.20
{txt}{col 13}Prob > F ={res}    0.0000
{txt}note: b_commtg_z_d omitted because of collinearity
{res}
{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}     7,288
{txt}{col 49}F({res}   8{txt},{res}    186{txt}){col 67}= {res}     11.69
{txt}{col 49}Prob > F{col 67}= {res}    0.0000
{txt}{col 49}R-squared{col 67}= {res}    0.0961
{txt}{col 49}Adj R-squared{col 67}= {res}    0.0933
{txt}{col 49}Root MSE{col 67}= {res}    0.5588

{txt}{ralign 78:(Std. Err. adjusted for {res:187} clusters in hc_id)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}  e_commtg_z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2} .0055923{col 26}{space 2} .0280309{col 37}{space 1}    0.20{col 46}{space 3}0.842{col 54}{space 4}-.0497072{col 67}{space 3} .0608917
{txt}{space 2}b_commtg_z {c |}{col 14}{res}{space 2} .0757774{col 26}{space 2} .0135575{col 37}{space 1}    5.59{col 46}{space 3}0.000{col 54}{space 4} .0490312{col 67}{space 3} .1025235
{txt}b_commtg_z_d {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 1}c_tfull_hc2 {c |}{col 14}{res}{space 2} .1239928{col 26}{space 2} .0320277{col 37}{space 1}    3.87{col 46}{space 3}0.000{col 54}{space 4} .0608085{col 67}{space 3} .1871772
{txt}c_tfull_b_~l {c |}{col 14}{res}{space 2} .0852744{col 26}{space 2} .0385592{col 37}{space 1}    2.21{col 46}{space 3}0.028{col 54}{space 4} .0092047{col 67}{space 3} .1613441
{txt}c_tfull_b_~s {c |}{col 14}{res}{space 2} .0054989{col 26}{space 2}    .0554{col 37}{space 1}    0.10{col 46}{space 3}0.921{col 54}{space 4}-.1037943{col 67}{space 3} .1147921
{txt}c_tfull_b_~d {c |}{col 14}{res}{space 2}   .09122{col 26}{space 2}  .032878{col 37}{space 1}    2.77{col 46}{space 3}0.006{col 54}{space 4} .0263583{col 67}{space 3} .1560817
{txt}c_tfull_ed~r {c |}{col 14}{res}{space 2} .0045883{col 26}{space 2} .0016172{col 37}{space 1}    2.84{col 46}{space 3}0.005{col 54}{space 4}  .001398{col 67}{space 3} .0077787
{txt}c_tfull_b_~x {c |}{col 14}{res}{space 2} .0275659{col 26}{space 2} .0086925{col 37}{space 1}    3.17{col 46}{space 3}0.002{col 54}{space 4} .0104174{col 67}{space 3} .0447144
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} .0035564{col 26}{space 2} .0191754{col 37}{space 1}    0.19{col 46}{space 3}0.853{col 54}{space 4}-.0342728{col 67}{space 3} .0413856
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull = .115{p_end}

{txt}       F(  1,   186) ={res}   15.23
{txt}{col 13}Prob > F ={res}    0.0001

{p 0 7}{space 1}{text:( 1)}{space 1} treatfull = -.115{p_end}

{txt}       F(  1,   186) ={res}   18.51
{txt}{col 13}Prob > F ={res}    0.0000
{txt}note: b_commtg_z_d omitted because of collinearity
{res}
{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}     7,288
{txt}{col 49}F({res}   8{txt},{res}    186{txt}){col 67}= {res}     11.69
{txt}{col 49}Prob > F{col 67}= {res}    0.0000
{txt}{col 49}R-squared{col 67}= {res}    0.0961
{txt}{col 49}Adj R-squared{col 67}= {res}    0.0933
{txt}{col 49}Root MSE{col 67}= {res}    0.5588

{txt}{ralign 78:(Std. Err. adjusted for {res:187} clusters in hc_id)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}  e_commtg_z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2} .0055923{col 26}{space 2} .0280309{col 37}{space 1}    0.20{col 46}{space 3}0.842{col 54}{space 4}-.0497072{col 67}{space 3} .0608917
{txt}{space 2}b_commtg_z {c |}{col 14}{res}{space 2} .0757774{col 26}{space 2} .0135575{col 37}{space 1}    5.59{col 46}{space 3}0.000{col 54}{space 4} .0490312{col 67}{space 3} .1025235
{txt}b_commtg_z_d {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 1}c_tfull_hc2 {c |}{col 14}{res}{space 2} .1239928{col 26}{space 2} .0320277{col 37}{space 1}    3.87{col 46}{space 3}0.000{col 54}{space 4} .0608085{col 67}{space 3} .1871772
{txt}c_tfull_b_~l {c |}{col 14}{res}{space 2} .0852744{col 26}{space 2} .0385592{col 37}{space 1}    2.21{col 46}{space 3}0.028{col 54}{space 4} .0092047{col 67}{space 3} .1613441
{txt}c_tfull_b_~s {c |}{col 14}{res}{space 2} .0054989{col 26}{space 2}    .0554{col 37}{space 1}    0.10{col 46}{space 3}0.921{col 54}{space 4}-.1037943{col 67}{space 3} .1147921
{txt}c_tfull_b_~d {c |}{col 14}{res}{space 2}   .09122{col 26}{space 2}  .032878{col 37}{space 1}    2.77{col 46}{space 3}0.006{col 54}{space 4} .0263583{col 67}{space 3} .1560817
{txt}c_tfull_ed~r {c |}{col 14}{res}{space 2} .0045883{col 26}{space 2} .0016172{col 37}{space 1}    2.84{col 46}{space 3}0.005{col 54}{space 4}  .001398{col 67}{space 3} .0077787
{txt}c_tfull_b_~x {c |}{col 14}{res}{space 2} .0275659{col 26}{space 2} .0086925{col 37}{space 1}    3.17{col 46}{space 3}0.002{col 54}{space 4} .0104174{col 67}{space 3} .0447144
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} .0035564{col 26}{space 2} .0191754{col 37}{space 1}    0.19{col 46}{space 3}0.853{col 54}{space 4}-.0342728{col 67}{space 3} .0413856
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull = .116{p_end}

{txt}       F(  1,   186) ={res}   15.51
{txt}{col 13}Prob > F ={res}    0.0001

{p 0 7}{space 1}{text:( 1)}{space 1} treatfull = -.116{p_end}

{txt}       F(  1,   186) ={res}   18.82
{txt}{col 13}Prob > F ={res}    0.0000
{txt}note: b_commtg_z_d omitted because of collinearity
{res}
{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}     7,288
{txt}{col 49}F({res}   8{txt},{res}    186{txt}){col 67}= {res}     11.69
{txt}{col 49}Prob > F{col 67}= {res}    0.0000
{txt}{col 49}R-squared{col 67}= {res}    0.0961
{txt}{col 49}Adj R-squared{col 67}= {res}    0.0933
{txt}{col 49}Root MSE{col 67}= {res}    0.5588

{txt}{ralign 78:(Std. Err. adjusted for {res:187} clusters in hc_id)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}  e_commtg_z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2} .0055923{col 26}{space 2} .0280309{col 37}{space 1}    0.20{col 46}{space 3}0.842{col 54}{space 4}-.0497072{col 67}{space 3} .0608917
{txt}{space 2}b_commtg_z {c |}{col 14}{res}{space 2} .0757774{col 26}{space 2} .0135575{col 37}{space 1}    5.59{col 46}{space 3}0.000{col 54}{space 4} .0490312{col 67}{space 3} .1025235
{txt}b_commtg_z_d {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 1}c_tfull_hc2 {c |}{col 14}{res}{space 2} .1239928{col 26}{space 2} .0320277{col 37}{space 1}    3.87{col 46}{space 3}0.000{col 54}{space 4} .0608085{col 67}{space 3} .1871772
{txt}c_tfull_b_~l {c |}{col 14}{res}{space 2} .0852744{col 26}{space 2} .0385592{col 37}{space 1}    2.21{col 46}{space 3}0.028{col 54}{space 4} .0092047{col 67}{space 3} .1613441
{txt}c_tfull_b_~s {c |}{col 14}{res}{space 2} .0054989{col 26}{space 2}    .0554{col 37}{space 1}    0.10{col 46}{space 3}0.921{col 54}{space 4}-.1037943{col 67}{space 3} .1147921
{txt}c_tfull_b_~d {c |}{col 14}{res}{space 2}   .09122{col 26}{space 2}  .032878{col 37}{space 1}    2.77{col 46}{space 3}0.006{col 54}{space 4} .0263583{col 67}{space 3} .1560817
{txt}c_tfull_ed~r {c |}{col 14}{res}{space 2} .0045883{col 26}{space 2} .0016172{col 37}{space 1}    2.84{col 46}{space 3}0.005{col 54}{space 4}  .001398{col 67}{space 3} .0077787
{txt}c_tfull_b_~x {c |}{col 14}{res}{space 2} .0275659{col 26}{space 2} .0086925{col 37}{space 1}    3.17{col 46}{space 3}0.002{col 54}{space 4} .0104174{col 67}{space 3} .0447144
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} .0035564{col 26}{space 2} .0191754{col 37}{space 1}    0.19{col 46}{space 3}0.853{col 54}{space 4}-.0342728{col 67}{space 3} .0413856
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull = .117{p_end}

{txt}       F(  1,   186) ={res}   15.80
{txt}{col 13}Prob > F ={res}    0.0001

{p 0 7}{space 1}{text:( 1)}{space 1} treatfull = -.117{p_end}

{txt}       F(  1,   186) ={res}   19.13
{txt}{col 13}Prob > F ={res}    0.0000
{txt}note: b_commtg_z_d omitted because of collinearity
{res}
{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}     7,288
{txt}{col 49}F({res}   8{txt},{res}    186{txt}){col 67}= {res}     11.69
{txt}{col 49}Prob > F{col 67}= {res}    0.0000
{txt}{col 49}R-squared{col 67}= {res}    0.0961
{txt}{col 49}Adj R-squared{col 67}= {res}    0.0933
{txt}{col 49}Root MSE{col 67}= {res}    0.5588

{txt}{ralign 78:(Std. Err. adjusted for {res:187} clusters in hc_id)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}  e_commtg_z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2} .0055923{col 26}{space 2} .0280309{col 37}{space 1}    0.20{col 46}{space 3}0.842{col 54}{space 4}-.0497072{col 67}{space 3} .0608917
{txt}{space 2}b_commtg_z {c |}{col 14}{res}{space 2} .0757774{col 26}{space 2} .0135575{col 37}{space 1}    5.59{col 46}{space 3}0.000{col 54}{space 4} .0490312{col 67}{space 3} .1025235
{txt}b_commtg_z_d {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 1}c_tfull_hc2 {c |}{col 14}{res}{space 2} .1239928{col 26}{space 2} .0320277{col 37}{space 1}    3.87{col 46}{space 3}0.000{col 54}{space 4} .0608085{col 67}{space 3} .1871772
{txt}c_tfull_b_~l {c |}{col 14}{res}{space 2} .0852744{col 26}{space 2} .0385592{col 37}{space 1}    2.21{col 46}{space 3}0.028{col 54}{space 4} .0092047{col 67}{space 3} .1613441
{txt}c_tfull_b_~s {c |}{col 14}{res}{space 2} .0054989{col 26}{space 2}    .0554{col 37}{space 1}    0.10{col 46}{space 3}0.921{col 54}{space 4}-.1037943{col 67}{space 3} .1147921
{txt}c_tfull_b_~d {c |}{col 14}{res}{space 2}   .09122{col 26}{space 2}  .032878{col 37}{space 1}    2.77{col 46}{space 3}0.006{col 54}{space 4} .0263583{col 67}{space 3} .1560817
{txt}c_tfull_ed~r {c |}{col 14}{res}{space 2} .0045883{col 26}{space 2} .0016172{col 37}{space 1}    2.84{col 46}{space 3}0.005{col 54}{space 4}  .001398{col 67}{space 3} .0077787
{txt}c_tfull_b_~x {c |}{col 14}{res}{space 2} .0275659{col 26}{space 2} .0086925{col 37}{space 1}    3.17{col 46}{space 3}0.002{col 54}{space 4} .0104174{col 67}{space 3} .0447144
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} .0035564{col 26}{space 2} .0191754{col 37}{space 1}    0.19{col 46}{space 3}0.853{col 54}{space 4}-.0342728{col 67}{space 3} .0413856
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull = .118{p_end}

{txt}       F(  1,   186) ={res}   16.08
{txt}{col 13}Prob > F ={res}    0.0001

{p 0 7}{space 1}{text:( 1)}{space 1} treatfull = -.118{p_end}

{txt}       F(  1,   186) ={res}   19.44
{txt}{col 13}Prob > F ={res}    0.0000
{txt}note: b_commtg_z_d omitted because of collinearity
{res}
{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}     7,288
{txt}{col 49}F({res}   8{txt},{res}    186{txt}){col 67}= {res}     11.69
{txt}{col 49}Prob > F{col 67}= {res}    0.0000
{txt}{col 49}R-squared{col 67}= {res}    0.0961
{txt}{col 49}Adj R-squared{col 67}= {res}    0.0933
{txt}{col 49}Root MSE{col 67}= {res}    0.5588

{txt}{ralign 78:(Std. Err. adjusted for {res:187} clusters in hc_id)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}  e_commtg_z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2} .0055923{col 26}{space 2} .0280309{col 37}{space 1}    0.20{col 46}{space 3}0.842{col 54}{space 4}-.0497072{col 67}{space 3} .0608917
{txt}{space 2}b_commtg_z {c |}{col 14}{res}{space 2} .0757774{col 26}{space 2} .0135575{col 37}{space 1}    5.59{col 46}{space 3}0.000{col 54}{space 4} .0490312{col 67}{space 3} .1025235
{txt}b_commtg_z_d {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 1}c_tfull_hc2 {c |}{col 14}{res}{space 2} .1239928{col 26}{space 2} .0320277{col 37}{space 1}    3.87{col 46}{space 3}0.000{col 54}{space 4} .0608085{col 67}{space 3} .1871772
{txt}c_tfull_b_~l {c |}{col 14}{res}{space 2} .0852744{col 26}{space 2} .0385592{col 37}{space 1}    2.21{col 46}{space 3}0.028{col 54}{space 4} .0092047{col 67}{space 3} .1613441
{txt}c_tfull_b_~s {c |}{col 14}{res}{space 2} .0054989{col 26}{space 2}    .0554{col 37}{space 1}    0.10{col 46}{space 3}0.921{col 54}{space 4}-.1037943{col 67}{space 3} .1147921
{txt}c_tfull_b_~d {c |}{col 14}{res}{space 2}   .09122{col 26}{space 2}  .032878{col 37}{space 1}    2.77{col 46}{space 3}0.006{col 54}{space 4} .0263583{col 67}{space 3} .1560817
{txt}c_tfull_ed~r {c |}{col 14}{res}{space 2} .0045883{col 26}{space 2} .0016172{col 37}{space 1}    2.84{col 46}{space 3}0.005{col 54}{space 4}  .001398{col 67}{space 3} .0077787
{txt}c_tfull_b_~x {c |}{col 14}{res}{space 2} .0275659{col 26}{space 2} .0086925{col 37}{space 1}    3.17{col 46}{space 3}0.002{col 54}{space 4} .0104174{col 67}{space 3} .0447144
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} .0035564{col 26}{space 2} .0191754{col 37}{space 1}    0.19{col 46}{space 3}0.853{col 54}{space 4}-.0342728{col 67}{space 3} .0413856
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull = .119{p_end}

{txt}       F(  1,   186) ={res}   16.37
{txt}{col 13}Prob > F ={res}    0.0001

{p 0 7}{space 1}{text:( 1)}{space 1} treatfull = -.119{p_end}

{txt}       F(  1,   186) ={res}   19.76
{txt}{col 13}Prob > F ={res}    0.0000
{txt}note: b_commtg_z_d omitted because of collinearity
{res}
{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}     7,288
{txt}{col 49}F({res}   8{txt},{res}    186{txt}){col 67}= {res}     11.69
{txt}{col 49}Prob > F{col 67}= {res}    0.0000
{txt}{col 49}R-squared{col 67}= {res}    0.0961
{txt}{col 49}Adj R-squared{col 67}= {res}    0.0933
{txt}{col 49}Root MSE{col 67}= {res}    0.5588

{txt}{ralign 78:(Std. Err. adjusted for {res:187} clusters in hc_id)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}  e_commtg_z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2} .0055923{col 26}{space 2} .0280309{col 37}{space 1}    0.20{col 46}{space 3}0.842{col 54}{space 4}-.0497072{col 67}{space 3} .0608917
{txt}{space 2}b_commtg_z {c |}{col 14}{res}{space 2} .0757774{col 26}{space 2} .0135575{col 37}{space 1}    5.59{col 46}{space 3}0.000{col 54}{space 4} .0490312{col 67}{space 3} .1025235
{txt}b_commtg_z_d {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 1}c_tfull_hc2 {c |}{col 14}{res}{space 2} .1239928{col 26}{space 2} .0320277{col 37}{space 1}    3.87{col 46}{space 3}0.000{col 54}{space 4} .0608085{col 67}{space 3} .1871772
{txt}c_tfull_b_~l {c |}{col 14}{res}{space 2} .0852744{col 26}{space 2} .0385592{col 37}{space 1}    2.21{col 46}{space 3}0.028{col 54}{space 4} .0092047{col 67}{space 3} .1613441
{txt}c_tfull_b_~s {c |}{col 14}{res}{space 2} .0054989{col 26}{space 2}    .0554{col 37}{space 1}    0.10{col 46}{space 3}0.921{col 54}{space 4}-.1037943{col 67}{space 3} .1147921
{txt}c_tfull_b_~d {c |}{col 14}{res}{space 2}   .09122{col 26}{space 2}  .032878{col 37}{space 1}    2.77{col 46}{space 3}0.006{col 54}{space 4} .0263583{col 67}{space 3} .1560817
{txt}c_tfull_ed~r {c |}{col 14}{res}{space 2} .0045883{col 26}{space 2} .0016172{col 37}{space 1}    2.84{col 46}{space 3}0.005{col 54}{space 4}  .001398{col 67}{space 3} .0077787
{txt}c_tfull_b_~x {c |}{col 14}{res}{space 2} .0275659{col 26}{space 2} .0086925{col 37}{space 1}    3.17{col 46}{space 3}0.002{col 54}{space 4} .0104174{col 67}{space 3} .0447144
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} .0035564{col 26}{space 2} .0191754{col 37}{space 1}    0.19{col 46}{space 3}0.853{col 54}{space 4}-.0342728{col 67}{space 3} .0413856
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull = .12{p_end}

{txt}       F(  1,   186) ={res}   16.66
{txt}{col 13}Prob > F ={res}    0.0001

{p 0 7}{space 1}{text:( 1)}{space 1} treatfull = -.12{p_end}

{txt}       F(  1,   186) ={res}   20.07
{txt}{col 13}Prob > F ={res}    0.0000
{txt}note: b_commtg_z_d omitted because of collinearity
{res}
{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}     7,288
{txt}{col 49}F({res}   8{txt},{res}    186{txt}){col 67}= {res}     11.69
{txt}{col 49}Prob > F{col 67}= {res}    0.0000
{txt}{col 49}R-squared{col 67}= {res}    0.0961
{txt}{col 49}Adj R-squared{col 67}= {res}    0.0933
{txt}{col 49}Root MSE{col 67}= {res}    0.5588

{txt}{ralign 78:(Std. Err. adjusted for {res:187} clusters in hc_id)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}  e_commtg_z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2} .0055923{col 26}{space 2} .0280309{col 37}{space 1}    0.20{col 46}{space 3}0.842{col 54}{space 4}-.0497072{col 67}{space 3} .0608917
{txt}{space 2}b_commtg_z {c |}{col 14}{res}{space 2} .0757774{col 26}{space 2} .0135575{col 37}{space 1}    5.59{col 46}{space 3}0.000{col 54}{space 4} .0490312{col 67}{space 3} .1025235
{txt}b_commtg_z_d {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 1}c_tfull_hc2 {c |}{col 14}{res}{space 2} .1239928{col 26}{space 2} .0320277{col 37}{space 1}    3.87{col 46}{space 3}0.000{col 54}{space 4} .0608085{col 67}{space 3} .1871772
{txt}c_tfull_b_~l {c |}{col 14}{res}{space 2} .0852744{col 26}{space 2} .0385592{col 37}{space 1}    2.21{col 46}{space 3}0.028{col 54}{space 4} .0092047{col 67}{space 3} .1613441
{txt}c_tfull_b_~s {c |}{col 14}{res}{space 2} .0054989{col 26}{space 2}    .0554{col 37}{space 1}    0.10{col 46}{space 3}0.921{col 54}{space 4}-.1037943{col 67}{space 3} .1147921
{txt}c_tfull_b_~d {c |}{col 14}{res}{space 2}   .09122{col 26}{space 2}  .032878{col 37}{space 1}    2.77{col 46}{space 3}0.006{col 54}{space 4} .0263583{col 67}{space 3} .1560817
{txt}c_tfull_ed~r {c |}{col 14}{res}{space 2} .0045883{col 26}{space 2} .0016172{col 37}{space 1}    2.84{col 46}{space 3}0.005{col 54}{space 4}  .001398{col 67}{space 3} .0077787
{txt}c_tfull_b_~x {c |}{col 14}{res}{space 2} .0275659{col 26}{space 2} .0086925{col 37}{space 1}    3.17{col 46}{space 3}0.002{col 54}{space 4} .0104174{col 67}{space 3} .0447144
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} .0035564{col 26}{space 2} .0191754{col 37}{space 1}    0.19{col 46}{space 3}0.853{col 54}{space 4}-.0342728{col 67}{space 3} .0413856
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull = .121{p_end}

{txt}       F(  1,   186) ={res}   16.95
{txt}{col 13}Prob > F ={res}    0.0001

{p 0 7}{space 1}{text:( 1)}{space 1} treatfull = -.121{p_end}

{txt}       F(  1,   186) ={res}   20.40
{txt}{col 13}Prob > F ={res}    0.0000
{txt}note: b_commtg_z_d omitted because of collinearity
{res}
{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}     7,288
{txt}{col 49}F({res}   8{txt},{res}    186{txt}){col 67}= {res}     11.69
{txt}{col 49}Prob > F{col 67}= {res}    0.0000
{txt}{col 49}R-squared{col 67}= {res}    0.0961
{txt}{col 49}Adj R-squared{col 67}= {res}    0.0933
{txt}{col 49}Root MSE{col 67}= {res}    0.5588

{txt}{ralign 78:(Std. Err. adjusted for {res:187} clusters in hc_id)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}  e_commtg_z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2} .0055923{col 26}{space 2} .0280309{col 37}{space 1}    0.20{col 46}{space 3}0.842{col 54}{space 4}-.0497072{col 67}{space 3} .0608917
{txt}{space 2}b_commtg_z {c |}{col 14}{res}{space 2} .0757774{col 26}{space 2} .0135575{col 37}{space 1}    5.59{col 46}{space 3}0.000{col 54}{space 4} .0490312{col 67}{space 3} .1025235
{txt}b_commtg_z_d {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 1}c_tfull_hc2 {c |}{col 14}{res}{space 2} .1239928{col 26}{space 2} .0320277{col 37}{space 1}    3.87{col 46}{space 3}0.000{col 54}{space 4} .0608085{col 67}{space 3} .1871772
{txt}c_tfull_b_~l {c |}{col 14}{res}{space 2} .0852744{col 26}{space 2} .0385592{col 37}{space 1}    2.21{col 46}{space 3}0.028{col 54}{space 4} .0092047{col 67}{space 3} .1613441
{txt}c_tfull_b_~s {c |}{col 14}{res}{space 2} .0054989{col 26}{space 2}    .0554{col 37}{space 1}    0.10{col 46}{space 3}0.921{col 54}{space 4}-.1037943{col 67}{space 3} .1147921
{txt}c_tfull_b_~d {c |}{col 14}{res}{space 2}   .09122{col 26}{space 2}  .032878{col 37}{space 1}    2.77{col 46}{space 3}0.006{col 54}{space 4} .0263583{col 67}{space 3} .1560817
{txt}c_tfull_ed~r {c |}{col 14}{res}{space 2} .0045883{col 26}{space 2} .0016172{col 37}{space 1}    2.84{col 46}{space 3}0.005{col 54}{space 4}  .001398{col 67}{space 3} .0077787
{txt}c_tfull_b_~x {c |}{col 14}{res}{space 2} .0275659{col 26}{space 2} .0086925{col 37}{space 1}    3.17{col 46}{space 3}0.002{col 54}{space 4} .0104174{col 67}{space 3} .0447144
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} .0035564{col 26}{space 2} .0191754{col 37}{space 1}    0.19{col 46}{space 3}0.853{col 54}{space 4}-.0342728{col 67}{space 3} .0413856
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull = .122{p_end}

{txt}       F(  1,   186) ={res}   17.25
{txt}{col 13}Prob > F ={res}    0.0000

{p 0 7}{space 1}{text:( 1)}{space 1} treatfull = -.122{p_end}

{txt}       F(  1,   186) ={res}   20.72
{txt}{col 13}Prob > F ={res}    0.0000
{txt}note: b_commtg_z_d omitted because of collinearity
{res}
{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}     7,288
{txt}{col 49}F({res}   8{txt},{res}    186{txt}){col 67}= {res}     11.69
{txt}{col 49}Prob > F{col 67}= {res}    0.0000
{txt}{col 49}R-squared{col 67}= {res}    0.0961
{txt}{col 49}Adj R-squared{col 67}= {res}    0.0933
{txt}{col 49}Root MSE{col 67}= {res}    0.5588

{txt}{ralign 78:(Std. Err. adjusted for {res:187} clusters in hc_id)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}  e_commtg_z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2} .0055923{col 26}{space 2} .0280309{col 37}{space 1}    0.20{col 46}{space 3}0.842{col 54}{space 4}-.0497072{col 67}{space 3} .0608917
{txt}{space 2}b_commtg_z {c |}{col 14}{res}{space 2} .0757774{col 26}{space 2} .0135575{col 37}{space 1}    5.59{col 46}{space 3}0.000{col 54}{space 4} .0490312{col 67}{space 3} .1025235
{txt}b_commtg_z_d {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 1}c_tfull_hc2 {c |}{col 14}{res}{space 2} .1239928{col 26}{space 2} .0320277{col 37}{space 1}    3.87{col 46}{space 3}0.000{col 54}{space 4} .0608085{col 67}{space 3} .1871772
{txt}c_tfull_b_~l {c |}{col 14}{res}{space 2} .0852744{col 26}{space 2} .0385592{col 37}{space 1}    2.21{col 46}{space 3}0.028{col 54}{space 4} .0092047{col 67}{space 3} .1613441
{txt}c_tfull_b_~s {c |}{col 14}{res}{space 2} .0054989{col 26}{space 2}    .0554{col 37}{space 1}    0.10{col 46}{space 3}0.921{col 54}{space 4}-.1037943{col 67}{space 3} .1147921
{txt}c_tfull_b_~d {c |}{col 14}{res}{space 2}   .09122{col 26}{space 2}  .032878{col 37}{space 1}    2.77{col 46}{space 3}0.006{col 54}{space 4} .0263583{col 67}{space 3} .1560817
{txt}c_tfull_ed~r {c |}{col 14}{res}{space 2} .0045883{col 26}{space 2} .0016172{col 37}{space 1}    2.84{col 46}{space 3}0.005{col 54}{space 4}  .001398{col 67}{space 3} .0077787
{txt}c_tfull_b_~x {c |}{col 14}{res}{space 2} .0275659{col 26}{space 2} .0086925{col 37}{space 1}    3.17{col 46}{space 3}0.002{col 54}{space 4} .0104174{col 67}{space 3} .0447144
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} .0035564{col 26}{space 2} .0191754{col 37}{space 1}    0.19{col 46}{space 3}0.853{col 54}{space 4}-.0342728{col 67}{space 3} .0413856
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull = .123{p_end}

{txt}       F(  1,   186) ={res}   17.54
{txt}{col 13}Prob > F ={res}    0.0000

{p 0 7}{space 1}{text:( 1)}{space 1} treatfull = -.123{p_end}

{txt}       F(  1,   186) ={res}   21.05
{txt}{col 13}Prob > F ={res}    0.0000
{txt}note: b_commtg_z_d omitted because of collinearity
{res}
{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}     7,288
{txt}{col 49}F({res}   8{txt},{res}    186{txt}){col 67}= {res}     11.69
{txt}{col 49}Prob > F{col 67}= {res}    0.0000
{txt}{col 49}R-squared{col 67}= {res}    0.0961
{txt}{col 49}Adj R-squared{col 67}= {res}    0.0933
{txt}{col 49}Root MSE{col 67}= {res}    0.5588

{txt}{ralign 78:(Std. Err. adjusted for {res:187} clusters in hc_id)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}  e_commtg_z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2} .0055923{col 26}{space 2} .0280309{col 37}{space 1}    0.20{col 46}{space 3}0.842{col 54}{space 4}-.0497072{col 67}{space 3} .0608917
{txt}{space 2}b_commtg_z {c |}{col 14}{res}{space 2} .0757774{col 26}{space 2} .0135575{col 37}{space 1}    5.59{col 46}{space 3}0.000{col 54}{space 4} .0490312{col 67}{space 3} .1025235
{txt}b_commtg_z_d {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 1}c_tfull_hc2 {c |}{col 14}{res}{space 2} .1239928{col 26}{space 2} .0320277{col 37}{space 1}    3.87{col 46}{space 3}0.000{col 54}{space 4} .0608085{col 67}{space 3} .1871772
{txt}c_tfull_b_~l {c |}{col 14}{res}{space 2} .0852744{col 26}{space 2} .0385592{col 37}{space 1}    2.21{col 46}{space 3}0.028{col 54}{space 4} .0092047{col 67}{space 3} .1613441
{txt}c_tfull_b_~s {c |}{col 14}{res}{space 2} .0054989{col 26}{space 2}    .0554{col 37}{space 1}    0.10{col 46}{space 3}0.921{col 54}{space 4}-.1037943{col 67}{space 3} .1147921
{txt}c_tfull_b_~d {c |}{col 14}{res}{space 2}   .09122{col 26}{space 2}  .032878{col 37}{space 1}    2.77{col 46}{space 3}0.006{col 54}{space 4} .0263583{col 67}{space 3} .1560817
{txt}c_tfull_ed~r {c |}{col 14}{res}{space 2} .0045883{col 26}{space 2} .0016172{col 37}{space 1}    2.84{col 46}{space 3}0.005{col 54}{space 4}  .001398{col 67}{space 3} .0077787
{txt}c_tfull_b_~x {c |}{col 14}{res}{space 2} .0275659{col 26}{space 2} .0086925{col 37}{space 1}    3.17{col 46}{space 3}0.002{col 54}{space 4} .0104174{col 67}{space 3} .0447144
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} .0035564{col 26}{space 2} .0191754{col 37}{space 1}    0.19{col 46}{space 3}0.853{col 54}{space 4}-.0342728{col 67}{space 3} .0413856
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull = .124{p_end}

{txt}       F(  1,   186) ={res}   17.84
{txt}{col 13}Prob > F ={res}    0.0000

{p 0 7}{space 1}{text:( 1)}{space 1} treatfull = -.124{p_end}

{txt}       F(  1,   186) ={res}   21.37
{txt}{col 13}Prob > F ={res}    0.0000
{txt}note: b_commtg_z_d omitted because of collinearity
{res}
{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}     7,288
{txt}{col 49}F({res}   8{txt},{res}    186{txt}){col 67}= {res}     11.69
{txt}{col 49}Prob > F{col 67}= {res}    0.0000
{txt}{col 49}R-squared{col 67}= {res}    0.0961
{txt}{col 49}Adj R-squared{col 67}= {res}    0.0933
{txt}{col 49}Root MSE{col 67}= {res}    0.5588

{txt}{ralign 78:(Std. Err. adjusted for {res:187} clusters in hc_id)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}  e_commtg_z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2} .0055923{col 26}{space 2} .0280309{col 37}{space 1}    0.20{col 46}{space 3}0.842{col 54}{space 4}-.0497072{col 67}{space 3} .0608917
{txt}{space 2}b_commtg_z {c |}{col 14}{res}{space 2} .0757774{col 26}{space 2} .0135575{col 37}{space 1}    5.59{col 46}{space 3}0.000{col 54}{space 4} .0490312{col 67}{space 3} .1025235
{txt}b_commtg_z_d {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 1}c_tfull_hc2 {c |}{col 14}{res}{space 2} .1239928{col 26}{space 2} .0320277{col 37}{space 1}    3.87{col 46}{space 3}0.000{col 54}{space 4} .0608085{col 67}{space 3} .1871772
{txt}c_tfull_b_~l {c |}{col 14}{res}{space 2} .0852744{col 26}{space 2} .0385592{col 37}{space 1}    2.21{col 46}{space 3}0.028{col 54}{space 4} .0092047{col 67}{space 3} .1613441
{txt}c_tfull_b_~s {c |}{col 14}{res}{space 2} .0054989{col 26}{space 2}    .0554{col 37}{space 1}    0.10{col 46}{space 3}0.921{col 54}{space 4}-.1037943{col 67}{space 3} .1147921
{txt}c_tfull_b_~d {c |}{col 14}{res}{space 2}   .09122{col 26}{space 2}  .032878{col 37}{space 1}    2.77{col 46}{space 3}0.006{col 54}{space 4} .0263583{col 67}{space 3} .1560817
{txt}c_tfull_ed~r {c |}{col 14}{res}{space 2} .0045883{col 26}{space 2} .0016172{col 37}{space 1}    2.84{col 46}{space 3}0.005{col 54}{space 4}  .001398{col 67}{space 3} .0077787
{txt}c_tfull_b_~x {c |}{col 14}{res}{space 2} .0275659{col 26}{space 2} .0086925{col 37}{space 1}    3.17{col 46}{space 3}0.002{col 54}{space 4} .0104174{col 67}{space 3} .0447144
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} .0035564{col 26}{space 2} .0191754{col 37}{space 1}    0.19{col 46}{space 3}0.853{col 54}{space 4}-.0342728{col 67}{space 3} .0413856
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull = .125{p_end}

{txt}       F(  1,   186) ={res}   18.15
{txt}{col 13}Prob > F ={res}    0.0000

{p 0 7}{space 1}{text:( 1)}{space 1} treatfull = -.125{p_end}

{txt}       F(  1,   186) ={res}   21.70
{txt}{col 13}Prob > F ={res}    0.0000
{txt}note: b_commtg_z_d omitted because of collinearity
{res}
{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}     7,288
{txt}{col 49}F({res}   8{txt},{res}    186{txt}){col 67}= {res}     11.69
{txt}{col 49}Prob > F{col 67}= {res}    0.0000
{txt}{col 49}R-squared{col 67}= {res}    0.0961
{txt}{col 49}Adj R-squared{col 67}= {res}    0.0933
{txt}{col 49}Root MSE{col 67}= {res}    0.5588

{txt}{ralign 78:(Std. Err. adjusted for {res:187} clusters in hc_id)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}  e_commtg_z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2} .0055923{col 26}{space 2} .0280309{col 37}{space 1}    0.20{col 46}{space 3}0.842{col 54}{space 4}-.0497072{col 67}{space 3} .0608917
{txt}{space 2}b_commtg_z {c |}{col 14}{res}{space 2} .0757774{col 26}{space 2} .0135575{col 37}{space 1}    5.59{col 46}{space 3}0.000{col 54}{space 4} .0490312{col 67}{space 3} .1025235
{txt}b_commtg_z_d {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 1}c_tfull_hc2 {c |}{col 14}{res}{space 2} .1239928{col 26}{space 2} .0320277{col 37}{space 1}    3.87{col 46}{space 3}0.000{col 54}{space 4} .0608085{col 67}{space 3} .1871772
{txt}c_tfull_b_~l {c |}{col 14}{res}{space 2} .0852744{col 26}{space 2} .0385592{col 37}{space 1}    2.21{col 46}{space 3}0.028{col 54}{space 4} .0092047{col 67}{space 3} .1613441
{txt}c_tfull_b_~s {c |}{col 14}{res}{space 2} .0054989{col 26}{space 2}    .0554{col 37}{space 1}    0.10{col 46}{space 3}0.921{col 54}{space 4}-.1037943{col 67}{space 3} .1147921
{txt}c_tfull_b_~d {c |}{col 14}{res}{space 2}   .09122{col 26}{space 2}  .032878{col 37}{space 1}    2.77{col 46}{space 3}0.006{col 54}{space 4} .0263583{col 67}{space 3} .1560817
{txt}c_tfull_ed~r {c |}{col 14}{res}{space 2} .0045883{col 26}{space 2} .0016172{col 37}{space 1}    2.84{col 46}{space 3}0.005{col 54}{space 4}  .001398{col 67}{space 3} .0077787
{txt}c_tfull_b_~x {c |}{col 14}{res}{space 2} .0275659{col 26}{space 2} .0086925{col 37}{space 1}    3.17{col 46}{space 3}0.002{col 54}{space 4} .0104174{col 67}{space 3} .0447144
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} .0035564{col 26}{space 2} .0191754{col 37}{space 1}    0.19{col 46}{space 3}0.853{col 54}{space 4}-.0342728{col 67}{space 3} .0413856
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull = .126{p_end}

{txt}       F(  1,   186) ={res}   18.45
{txt}{col 13}Prob > F ={res}    0.0000

{p 0 7}{space 1}{text:( 1)}{space 1} treatfull = -.126{p_end}

{txt}       F(  1,   186) ={res}   22.04
{txt}{col 13}Prob > F ={res}    0.0000
{txt}note: b_commtg_z_d omitted because of collinearity
{res}
{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}     7,288
{txt}{col 49}F({res}   8{txt},{res}    186{txt}){col 67}= {res}     11.69
{txt}{col 49}Prob > F{col 67}= {res}    0.0000
{txt}{col 49}R-squared{col 67}= {res}    0.0961
{txt}{col 49}Adj R-squared{col 67}= {res}    0.0933
{txt}{col 49}Root MSE{col 67}= {res}    0.5588

{txt}{ralign 78:(Std. Err. adjusted for {res:187} clusters in hc_id)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}  e_commtg_z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2} .0055923{col 26}{space 2} .0280309{col 37}{space 1}    0.20{col 46}{space 3}0.842{col 54}{space 4}-.0497072{col 67}{space 3} .0608917
{txt}{space 2}b_commtg_z {c |}{col 14}{res}{space 2} .0757774{col 26}{space 2} .0135575{col 37}{space 1}    5.59{col 46}{space 3}0.000{col 54}{space 4} .0490312{col 67}{space 3} .1025235
{txt}b_commtg_z_d {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 1}c_tfull_hc2 {c |}{col 14}{res}{space 2} .1239928{col 26}{space 2} .0320277{col 37}{space 1}    3.87{col 46}{space 3}0.000{col 54}{space 4} .0608085{col 67}{space 3} .1871772
{txt}c_tfull_b_~l {c |}{col 14}{res}{space 2} .0852744{col 26}{space 2} .0385592{col 37}{space 1}    2.21{col 46}{space 3}0.028{col 54}{space 4} .0092047{col 67}{space 3} .1613441
{txt}c_tfull_b_~s {c |}{col 14}{res}{space 2} .0054989{col 26}{space 2}    .0554{col 37}{space 1}    0.10{col 46}{space 3}0.921{col 54}{space 4}-.1037943{col 67}{space 3} .1147921
{txt}c_tfull_b_~d {c |}{col 14}{res}{space 2}   .09122{col 26}{space 2}  .032878{col 37}{space 1}    2.77{col 46}{space 3}0.006{col 54}{space 4} .0263583{col 67}{space 3} .1560817
{txt}c_tfull_ed~r {c |}{col 14}{res}{space 2} .0045883{col 26}{space 2} .0016172{col 37}{space 1}    2.84{col 46}{space 3}0.005{col 54}{space 4}  .001398{col 67}{space 3} .0077787
{txt}c_tfull_b_~x {c |}{col 14}{res}{space 2} .0275659{col 26}{space 2} .0086925{col 37}{space 1}    3.17{col 46}{space 3}0.002{col 54}{space 4} .0104174{col 67}{space 3} .0447144
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} .0035564{col 26}{space 2} .0191754{col 37}{space 1}    0.19{col 46}{space 3}0.853{col 54}{space 4}-.0342728{col 67}{space 3} .0413856
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull = .127{p_end}

{txt}       F(  1,   186) ={res}   18.76
{txt}{col 13}Prob > F ={res}    0.0000

{p 0 7}{space 1}{text:( 1)}{space 1} treatfull = -.127{p_end}

{txt}       F(  1,   186) ={res}   22.37
{txt}{col 13}Prob > F ={res}    0.0000
{txt}note: b_commtg_z_d omitted because of collinearity
{res}
{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}     7,288
{txt}{col 49}F({res}   8{txt},{res}    186{txt}){col 67}= {res}     11.69
{txt}{col 49}Prob > F{col 67}= {res}    0.0000
{txt}{col 49}R-squared{col 67}= {res}    0.0961
{txt}{col 49}Adj R-squared{col 67}= {res}    0.0933
{txt}{col 49}Root MSE{col 67}= {res}    0.5588

{txt}{ralign 78:(Std. Err. adjusted for {res:187} clusters in hc_id)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}  e_commtg_z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2} .0055923{col 26}{space 2} .0280309{col 37}{space 1}    0.20{col 46}{space 3}0.842{col 54}{space 4}-.0497072{col 67}{space 3} .0608917
{txt}{space 2}b_commtg_z {c |}{col 14}{res}{space 2} .0757774{col 26}{space 2} .0135575{col 37}{space 1}    5.59{col 46}{space 3}0.000{col 54}{space 4} .0490312{col 67}{space 3} .1025235
{txt}b_commtg_z_d {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 1}c_tfull_hc2 {c |}{col 14}{res}{space 2} .1239928{col 26}{space 2} .0320277{col 37}{space 1}    3.87{col 46}{space 3}0.000{col 54}{space 4} .0608085{col 67}{space 3} .1871772
{txt}c_tfull_b_~l {c |}{col 14}{res}{space 2} .0852744{col 26}{space 2} .0385592{col 37}{space 1}    2.21{col 46}{space 3}0.028{col 54}{space 4} .0092047{col 67}{space 3} .1613441
{txt}c_tfull_b_~s {c |}{col 14}{res}{space 2} .0054989{col 26}{space 2}    .0554{col 37}{space 1}    0.10{col 46}{space 3}0.921{col 54}{space 4}-.1037943{col 67}{space 3} .1147921
{txt}c_tfull_b_~d {c |}{col 14}{res}{space 2}   .09122{col 26}{space 2}  .032878{col 37}{space 1}    2.77{col 46}{space 3}0.006{col 54}{space 4} .0263583{col 67}{space 3} .1560817
{txt}c_tfull_ed~r {c |}{col 14}{res}{space 2} .0045883{col 26}{space 2} .0016172{col 37}{space 1}    2.84{col 46}{space 3}0.005{col 54}{space 4}  .001398{col 67}{space 3} .0077787
{txt}c_tfull_b_~x {c |}{col 14}{res}{space 2} .0275659{col 26}{space 2} .0086925{col 37}{space 1}    3.17{col 46}{space 3}0.002{col 54}{space 4} .0104174{col 67}{space 3} .0447144
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} .0035564{col 26}{space 2} .0191754{col 37}{space 1}    0.19{col 46}{space 3}0.853{col 54}{space 4}-.0342728{col 67}{space 3} .0413856
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull = .128{p_end}

{txt}       F(  1,   186) ={res}   19.07
{txt}{col 13}Prob > F ={res}    0.0000

{p 0 7}{space 1}{text:( 1)}{space 1} treatfull = -.128{p_end}

{txt}       F(  1,   186) ={res}   22.71
{txt}{col 13}Prob > F ={res}    0.0000
{txt}note: b_commtg_z_d omitted because of collinearity
{res}
{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}     7,288
{txt}{col 49}F({res}   8{txt},{res}    186{txt}){col 67}= {res}     11.69
{txt}{col 49}Prob > F{col 67}= {res}    0.0000
{txt}{col 49}R-squared{col 67}= {res}    0.0961
{txt}{col 49}Adj R-squared{col 67}= {res}    0.0933
{txt}{col 49}Root MSE{col 67}= {res}    0.5588

{txt}{ralign 78:(Std. Err. adjusted for {res:187} clusters in hc_id)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}  e_commtg_z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2} .0055923{col 26}{space 2} .0280309{col 37}{space 1}    0.20{col 46}{space 3}0.842{col 54}{space 4}-.0497072{col 67}{space 3} .0608917
{txt}{space 2}b_commtg_z {c |}{col 14}{res}{space 2} .0757774{col 26}{space 2} .0135575{col 37}{space 1}    5.59{col 46}{space 3}0.000{col 54}{space 4} .0490312{col 67}{space 3} .1025235
{txt}b_commtg_z_d {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 1}c_tfull_hc2 {c |}{col 14}{res}{space 2} .1239928{col 26}{space 2} .0320277{col 37}{space 1}    3.87{col 46}{space 3}0.000{col 54}{space 4} .0608085{col 67}{space 3} .1871772
{txt}c_tfull_b_~l {c |}{col 14}{res}{space 2} .0852744{col 26}{space 2} .0385592{col 37}{space 1}    2.21{col 46}{space 3}0.028{col 54}{space 4} .0092047{col 67}{space 3} .1613441
{txt}c_tfull_b_~s {c |}{col 14}{res}{space 2} .0054989{col 26}{space 2}    .0554{col 37}{space 1}    0.10{col 46}{space 3}0.921{col 54}{space 4}-.1037943{col 67}{space 3} .1147921
{txt}c_tfull_b_~d {c |}{col 14}{res}{space 2}   .09122{col 26}{space 2}  .032878{col 37}{space 1}    2.77{col 46}{space 3}0.006{col 54}{space 4} .0263583{col 67}{space 3} .1560817
{txt}c_tfull_ed~r {c |}{col 14}{res}{space 2} .0045883{col 26}{space 2} .0016172{col 37}{space 1}    2.84{col 46}{space 3}0.005{col 54}{space 4}  .001398{col 67}{space 3} .0077787
{txt}c_tfull_b_~x {c |}{col 14}{res}{space 2} .0275659{col 26}{space 2} .0086925{col 37}{space 1}    3.17{col 46}{space 3}0.002{col 54}{space 4} .0104174{col 67}{space 3} .0447144
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} .0035564{col 26}{space 2} .0191754{col 37}{space 1}    0.19{col 46}{space 3}0.853{col 54}{space 4}-.0342728{col 67}{space 3} .0413856
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull = .129{p_end}

{txt}       F(  1,   186) ={res}   19.38
{txt}{col 13}Prob > F ={res}    0.0000

{p 0 7}{space 1}{text:( 1)}{space 1} treatfull = -.129{p_end}

{txt}       F(  1,   186) ={res}   23.05
{txt}{col 13}Prob > F ={res}    0.0000
{txt}note: b_commtg_z_d omitted because of collinearity
{res}
{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}     7,288
{txt}{col 49}F({res}   8{txt},{res}    186{txt}){col 67}= {res}     11.69
{txt}{col 49}Prob > F{col 67}= {res}    0.0000
{txt}{col 49}R-squared{col 67}= {res}    0.0961
{txt}{col 49}Adj R-squared{col 67}= {res}    0.0933
{txt}{col 49}Root MSE{col 67}= {res}    0.5588

{txt}{ralign 78:(Std. Err. adjusted for {res:187} clusters in hc_id)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}  e_commtg_z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2} .0055923{col 26}{space 2} .0280309{col 37}{space 1}    0.20{col 46}{space 3}0.842{col 54}{space 4}-.0497072{col 67}{space 3} .0608917
{txt}{space 2}b_commtg_z {c |}{col 14}{res}{space 2} .0757774{col 26}{space 2} .0135575{col 37}{space 1}    5.59{col 46}{space 3}0.000{col 54}{space 4} .0490312{col 67}{space 3} .1025235
{txt}b_commtg_z_d {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 1}c_tfull_hc2 {c |}{col 14}{res}{space 2} .1239928{col 26}{space 2} .0320277{col 37}{space 1}    3.87{col 46}{space 3}0.000{col 54}{space 4} .0608085{col 67}{space 3} .1871772
{txt}c_tfull_b_~l {c |}{col 14}{res}{space 2} .0852744{col 26}{space 2} .0385592{col 37}{space 1}    2.21{col 46}{space 3}0.028{col 54}{space 4} .0092047{col 67}{space 3} .1613441
{txt}c_tfull_b_~s {c |}{col 14}{res}{space 2} .0054989{col 26}{space 2}    .0554{col 37}{space 1}    0.10{col 46}{space 3}0.921{col 54}{space 4}-.1037943{col 67}{space 3} .1147921
{txt}c_tfull_b_~d {c |}{col 14}{res}{space 2}   .09122{col 26}{space 2}  .032878{col 37}{space 1}    2.77{col 46}{space 3}0.006{col 54}{space 4} .0263583{col 67}{space 3} .1560817
{txt}c_tfull_ed~r {c |}{col 14}{res}{space 2} .0045883{col 26}{space 2} .0016172{col 37}{space 1}    2.84{col 46}{space 3}0.005{col 54}{space 4}  .001398{col 67}{space 3} .0077787
{txt}c_tfull_b_~x {c |}{col 14}{res}{space 2} .0275659{col 26}{space 2} .0086925{col 37}{space 1}    3.17{col 46}{space 3}0.002{col 54}{space 4} .0104174{col 67}{space 3} .0447144
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} .0035564{col 26}{space 2} .0191754{col 37}{space 1}    0.19{col 46}{space 3}0.853{col 54}{space 4}-.0342728{col 67}{space 3} .0413856
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull = .13{p_end}

{txt}       F(  1,   186) ={res}   19.70
{txt}{col 13}Prob > F ={res}    0.0000

{p 0 7}{space 1}{text:( 1)}{space 1} treatfull = -.13{p_end}

{txt}       F(  1,   186) ={res}   23.40
{txt}{col 13}Prob > F ={res}    0.0000
{txt}note: b_commtg_z_d omitted because of collinearity
{res}
{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}     7,288
{txt}{col 49}F({res}   8{txt},{res}    186{txt}){col 67}= {res}     11.69
{txt}{col 49}Prob > F{col 67}= {res}    0.0000
{txt}{col 49}R-squared{col 67}= {res}    0.0961
{txt}{col 49}Adj R-squared{col 67}= {res}    0.0933
{txt}{col 49}Root MSE{col 67}= {res}    0.5588

{txt}{ralign 78:(Std. Err. adjusted for {res:187} clusters in hc_id)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}  e_commtg_z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2} .0055923{col 26}{space 2} .0280309{col 37}{space 1}    0.20{col 46}{space 3}0.842{col 54}{space 4}-.0497072{col 67}{space 3} .0608917
{txt}{space 2}b_commtg_z {c |}{col 14}{res}{space 2} .0757774{col 26}{space 2} .0135575{col 37}{space 1}    5.59{col 46}{space 3}0.000{col 54}{space 4} .0490312{col 67}{space 3} .1025235
{txt}b_commtg_z_d {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 1}c_tfull_hc2 {c |}{col 14}{res}{space 2} .1239928{col 26}{space 2} .0320277{col 37}{space 1}    3.87{col 46}{space 3}0.000{col 54}{space 4} .0608085{col 67}{space 3} .1871772
{txt}c_tfull_b_~l {c |}{col 14}{res}{space 2} .0852744{col 26}{space 2} .0385592{col 37}{space 1}    2.21{col 46}{space 3}0.028{col 54}{space 4} .0092047{col 67}{space 3} .1613441
{txt}c_tfull_b_~s {c |}{col 14}{res}{space 2} .0054989{col 26}{space 2}    .0554{col 37}{space 1}    0.10{col 46}{space 3}0.921{col 54}{space 4}-.1037943{col 67}{space 3} .1147921
{txt}c_tfull_b_~d {c |}{col 14}{res}{space 2}   .09122{col 26}{space 2}  .032878{col 37}{space 1}    2.77{col 46}{space 3}0.006{col 54}{space 4} .0263583{col 67}{space 3} .1560817
{txt}c_tfull_ed~r {c |}{col 14}{res}{space 2} .0045883{col 26}{space 2} .0016172{col 37}{space 1}    2.84{col 46}{space 3}0.005{col 54}{space 4}  .001398{col 67}{space 3} .0077787
{txt}c_tfull_b_~x {c |}{col 14}{res}{space 2} .0275659{col 26}{space 2} .0086925{col 37}{space 1}    3.17{col 46}{space 3}0.002{col 54}{space 4} .0104174{col 67}{space 3} .0447144
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} .0035564{col 26}{space 2} .0191754{col 37}{space 1}    0.19{col 46}{space 3}0.853{col 54}{space 4}-.0342728{col 67}{space 3} .0413856
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull = .131{p_end}

{txt}       F(  1,   186) ={res}   20.02
{txt}{col 13}Prob > F ={res}    0.0000

{p 0 7}{space 1}{text:( 1)}{space 1} treatfull = -.131{p_end}

{txt}       F(  1,   186) ={res}   23.75
{txt}{col 13}Prob > F ={res}    0.0000
{txt}note: b_commtg_z_d omitted because of collinearity
{res}
{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}     7,288
{txt}{col 49}F({res}   8{txt},{res}    186{txt}){col 67}= {res}     11.69
{txt}{col 49}Prob > F{col 67}= {res}    0.0000
{txt}{col 49}R-squared{col 67}= {res}    0.0961
{txt}{col 49}Adj R-squared{col 67}= {res}    0.0933
{txt}{col 49}Root MSE{col 67}= {res}    0.5588

{txt}{ralign 78:(Std. Err. adjusted for {res:187} clusters in hc_id)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}  e_commtg_z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2} .0055923{col 26}{space 2} .0280309{col 37}{space 1}    0.20{col 46}{space 3}0.842{col 54}{space 4}-.0497072{col 67}{space 3} .0608917
{txt}{space 2}b_commtg_z {c |}{col 14}{res}{space 2} .0757774{col 26}{space 2} .0135575{col 37}{space 1}    5.59{col 46}{space 3}0.000{col 54}{space 4} .0490312{col 67}{space 3} .1025235
{txt}b_commtg_z_d {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 1}c_tfull_hc2 {c |}{col 14}{res}{space 2} .1239928{col 26}{space 2} .0320277{col 37}{space 1}    3.87{col 46}{space 3}0.000{col 54}{space 4} .0608085{col 67}{space 3} .1871772
{txt}c_tfull_b_~l {c |}{col 14}{res}{space 2} .0852744{col 26}{space 2} .0385592{col 37}{space 1}    2.21{col 46}{space 3}0.028{col 54}{space 4} .0092047{col 67}{space 3} .1613441
{txt}c_tfull_b_~s {c |}{col 14}{res}{space 2} .0054989{col 26}{space 2}    .0554{col 37}{space 1}    0.10{col 46}{space 3}0.921{col 54}{space 4}-.1037943{col 67}{space 3} .1147921
{txt}c_tfull_b_~d {c |}{col 14}{res}{space 2}   .09122{col 26}{space 2}  .032878{col 37}{space 1}    2.77{col 46}{space 3}0.006{col 54}{space 4} .0263583{col 67}{space 3} .1560817
{txt}c_tfull_ed~r {c |}{col 14}{res}{space 2} .0045883{col 26}{space 2} .0016172{col 37}{space 1}    2.84{col 46}{space 3}0.005{col 54}{space 4}  .001398{col 67}{space 3} .0077787
{txt}c_tfull_b_~x {c |}{col 14}{res}{space 2} .0275659{col 26}{space 2} .0086925{col 37}{space 1}    3.17{col 46}{space 3}0.002{col 54}{space 4} .0104174{col 67}{space 3} .0447144
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} .0035564{col 26}{space 2} .0191754{col 37}{space 1}    0.19{col 46}{space 3}0.853{col 54}{space 4}-.0342728{col 67}{space 3} .0413856
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull = .132{p_end}

{txt}       F(  1,   186) ={res}   20.34
{txt}{col 13}Prob > F ={res}    0.0000

{p 0 7}{space 1}{text:( 1)}{space 1} treatfull = -.132{p_end}

{txt}       F(  1,   186) ={res}   24.09
{txt}{col 13}Prob > F ={res}    0.0000
{txt}note: b_commtg_z_d omitted because of collinearity
{res}
{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}     7,288
{txt}{col 49}F({res}   8{txt},{res}    186{txt}){col 67}= {res}     11.69
{txt}{col 49}Prob > F{col 67}= {res}    0.0000
{txt}{col 49}R-squared{col 67}= {res}    0.0961
{txt}{col 49}Adj R-squared{col 67}= {res}    0.0933
{txt}{col 49}Root MSE{col 67}= {res}    0.5588

{txt}{ralign 78:(Std. Err. adjusted for {res:187} clusters in hc_id)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}  e_commtg_z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2} .0055923{col 26}{space 2} .0280309{col 37}{space 1}    0.20{col 46}{space 3}0.842{col 54}{space 4}-.0497072{col 67}{space 3} .0608917
{txt}{space 2}b_commtg_z {c |}{col 14}{res}{space 2} .0757774{col 26}{space 2} .0135575{col 37}{space 1}    5.59{col 46}{space 3}0.000{col 54}{space 4} .0490312{col 67}{space 3} .1025235
{txt}b_commtg_z_d {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 1}c_tfull_hc2 {c |}{col 14}{res}{space 2} .1239928{col 26}{space 2} .0320277{col 37}{space 1}    3.87{col 46}{space 3}0.000{col 54}{space 4} .0608085{col 67}{space 3} .1871772
{txt}c_tfull_b_~l {c |}{col 14}{res}{space 2} .0852744{col 26}{space 2} .0385592{col 37}{space 1}    2.21{col 46}{space 3}0.028{col 54}{space 4} .0092047{col 67}{space 3} .1613441
{txt}c_tfull_b_~s {c |}{col 14}{res}{space 2} .0054989{col 26}{space 2}    .0554{col 37}{space 1}    0.10{col 46}{space 3}0.921{col 54}{space 4}-.1037943{col 67}{space 3} .1147921
{txt}c_tfull_b_~d {c |}{col 14}{res}{space 2}   .09122{col 26}{space 2}  .032878{col 37}{space 1}    2.77{col 46}{space 3}0.006{col 54}{space 4} .0263583{col 67}{space 3} .1560817
{txt}c_tfull_ed~r {c |}{col 14}{res}{space 2} .0045883{col 26}{space 2} .0016172{col 37}{space 1}    2.84{col 46}{space 3}0.005{col 54}{space 4}  .001398{col 67}{space 3} .0077787
{txt}c_tfull_b_~x {c |}{col 14}{res}{space 2} .0275659{col 26}{space 2} .0086925{col 37}{space 1}    3.17{col 46}{space 3}0.002{col 54}{space 4} .0104174{col 67}{space 3} .0447144
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} .0035564{col 26}{space 2} .0191754{col 37}{space 1}    0.19{col 46}{space 3}0.853{col 54}{space 4}-.0342728{col 67}{space 3} .0413856
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull = .133{p_end}

{txt}       F(  1,   186) ={res}   20.66
{txt}{col 13}Prob > F ={res}    0.0000

{p 0 7}{space 1}{text:( 1)}{space 1} treatfull = -.133{p_end}

{txt}       F(  1,   186) ={res}   24.45
{txt}{col 13}Prob > F ={res}    0.0000
{txt}note: b_commtg_z_d omitted because of collinearity
{res}
{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}     7,288
{txt}{col 49}F({res}   8{txt},{res}    186{txt}){col 67}= {res}     11.69
{txt}{col 49}Prob > F{col 67}= {res}    0.0000
{txt}{col 49}R-squared{col 67}= {res}    0.0961
{txt}{col 49}Adj R-squared{col 67}= {res}    0.0933
{txt}{col 49}Root MSE{col 67}= {res}    0.5588

{txt}{ralign 78:(Std. Err. adjusted for {res:187} clusters in hc_id)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}  e_commtg_z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2} .0055923{col 26}{space 2} .0280309{col 37}{space 1}    0.20{col 46}{space 3}0.842{col 54}{space 4}-.0497072{col 67}{space 3} .0608917
{txt}{space 2}b_commtg_z {c |}{col 14}{res}{space 2} .0757774{col 26}{space 2} .0135575{col 37}{space 1}    5.59{col 46}{space 3}0.000{col 54}{space 4} .0490312{col 67}{space 3} .1025235
{txt}b_commtg_z_d {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 1}c_tfull_hc2 {c |}{col 14}{res}{space 2} .1239928{col 26}{space 2} .0320277{col 37}{space 1}    3.87{col 46}{space 3}0.000{col 54}{space 4} .0608085{col 67}{space 3} .1871772
{txt}c_tfull_b_~l {c |}{col 14}{res}{space 2} .0852744{col 26}{space 2} .0385592{col 37}{space 1}    2.21{col 46}{space 3}0.028{col 54}{space 4} .0092047{col 67}{space 3} .1613441
{txt}c_tfull_b_~s {c |}{col 14}{res}{space 2} .0054989{col 26}{space 2}    .0554{col 37}{space 1}    0.10{col 46}{space 3}0.921{col 54}{space 4}-.1037943{col 67}{space 3} .1147921
{txt}c_tfull_b_~d {c |}{col 14}{res}{space 2}   .09122{col 26}{space 2}  .032878{col 37}{space 1}    2.77{col 46}{space 3}0.006{col 54}{space 4} .0263583{col 67}{space 3} .1560817
{txt}c_tfull_ed~r {c |}{col 14}{res}{space 2} .0045883{col 26}{space 2} .0016172{col 37}{space 1}    2.84{col 46}{space 3}0.005{col 54}{space 4}  .001398{col 67}{space 3} .0077787
{txt}c_tfull_b_~x {c |}{col 14}{res}{space 2} .0275659{col 26}{space 2} .0086925{col 37}{space 1}    3.17{col 46}{space 3}0.002{col 54}{space 4} .0104174{col 67}{space 3} .0447144
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} .0035564{col 26}{space 2} .0191754{col 37}{space 1}    0.19{col 46}{space 3}0.853{col 54}{space 4}-.0342728{col 67}{space 3} .0413856
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull = .134{p_end}

{txt}       F(  1,   186) ={res}   20.98
{txt}{col 13}Prob > F ={res}    0.0000

{p 0 7}{space 1}{text:( 1)}{space 1} treatfull = -.134{p_end}

{txt}       F(  1,   186) ={res}   24.80
{txt}{col 13}Prob > F ={res}    0.0000
{txt}note: b_commtg_z_d omitted because of collinearity
{res}
{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}     7,288
{txt}{col 49}F({res}   8{txt},{res}    186{txt}){col 67}= {res}     11.69
{txt}{col 49}Prob > F{col 67}= {res}    0.0000
{txt}{col 49}R-squared{col 67}= {res}    0.0961
{txt}{col 49}Adj R-squared{col 67}= {res}    0.0933
{txt}{col 49}Root MSE{col 67}= {res}    0.5588

{txt}{ralign 78:(Std. Err. adjusted for {res:187} clusters in hc_id)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}  e_commtg_z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2} .0055923{col 26}{space 2} .0280309{col 37}{space 1}    0.20{col 46}{space 3}0.842{col 54}{space 4}-.0497072{col 67}{space 3} .0608917
{txt}{space 2}b_commtg_z {c |}{col 14}{res}{space 2} .0757774{col 26}{space 2} .0135575{col 37}{space 1}    5.59{col 46}{space 3}0.000{col 54}{space 4} .0490312{col 67}{space 3} .1025235
{txt}b_commtg_z_d {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 1}c_tfull_hc2 {c |}{col 14}{res}{space 2} .1239928{col 26}{space 2} .0320277{col 37}{space 1}    3.87{col 46}{space 3}0.000{col 54}{space 4} .0608085{col 67}{space 3} .1871772
{txt}c_tfull_b_~l {c |}{col 14}{res}{space 2} .0852744{col 26}{space 2} .0385592{col 37}{space 1}    2.21{col 46}{space 3}0.028{col 54}{space 4} .0092047{col 67}{space 3} .1613441
{txt}c_tfull_b_~s {c |}{col 14}{res}{space 2} .0054989{col 26}{space 2}    .0554{col 37}{space 1}    0.10{col 46}{space 3}0.921{col 54}{space 4}-.1037943{col 67}{space 3} .1147921
{txt}c_tfull_b_~d {c |}{col 14}{res}{space 2}   .09122{col 26}{space 2}  .032878{col 37}{space 1}    2.77{col 46}{space 3}0.006{col 54}{space 4} .0263583{col 67}{space 3} .1560817
{txt}c_tfull_ed~r {c |}{col 14}{res}{space 2} .0045883{col 26}{space 2} .0016172{col 37}{space 1}    2.84{col 46}{space 3}0.005{col 54}{space 4}  .001398{col 67}{space 3} .0077787
{txt}c_tfull_b_~x {c |}{col 14}{res}{space 2} .0275659{col 26}{space 2} .0086925{col 37}{space 1}    3.17{col 46}{space 3}0.002{col 54}{space 4} .0104174{col 67}{space 3} .0447144
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} .0035564{col 26}{space 2} .0191754{col 37}{space 1}    0.19{col 46}{space 3}0.853{col 54}{space 4}-.0342728{col 67}{space 3} .0413856
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull = .135{p_end}

{txt}       F(  1,   186) ={res}   21.31
{txt}{col 13}Prob > F ={res}    0.0000

{p 0 7}{space 1}{text:( 1)}{space 1} treatfull = -.135{p_end}

{txt}       F(  1,   186) ={res}   25.16
{txt}{col 13}Prob > F ={res}    0.0000
{txt}note: b_commtg_z_d omitted because of collinearity
{res}
{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}     7,288
{txt}{col 49}F({res}   8{txt},{res}    186{txt}){col 67}= {res}     11.69
{txt}{col 49}Prob > F{col 67}= {res}    0.0000
{txt}{col 49}R-squared{col 67}= {res}    0.0961
{txt}{col 49}Adj R-squared{col 67}= {res}    0.0933
{txt}{col 49}Root MSE{col 67}= {res}    0.5588

{txt}{ralign 78:(Std. Err. adjusted for {res:187} clusters in hc_id)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}  e_commtg_z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2} .0055923{col 26}{space 2} .0280309{col 37}{space 1}    0.20{col 46}{space 3}0.842{col 54}{space 4}-.0497072{col 67}{space 3} .0608917
{txt}{space 2}b_commtg_z {c |}{col 14}{res}{space 2} .0757774{col 26}{space 2} .0135575{col 37}{space 1}    5.59{col 46}{space 3}0.000{col 54}{space 4} .0490312{col 67}{space 3} .1025235
{txt}b_commtg_z_d {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 1}c_tfull_hc2 {c |}{col 14}{res}{space 2} .1239928{col 26}{space 2} .0320277{col 37}{space 1}    3.87{col 46}{space 3}0.000{col 54}{space 4} .0608085{col 67}{space 3} .1871772
{txt}c_tfull_b_~l {c |}{col 14}{res}{space 2} .0852744{col 26}{space 2} .0385592{col 37}{space 1}    2.21{col 46}{space 3}0.028{col 54}{space 4} .0092047{col 67}{space 3} .1613441
{txt}c_tfull_b_~s {c |}{col 14}{res}{space 2} .0054989{col 26}{space 2}    .0554{col 37}{space 1}    0.10{col 46}{space 3}0.921{col 54}{space 4}-.1037943{col 67}{space 3} .1147921
{txt}c_tfull_b_~d {c |}{col 14}{res}{space 2}   .09122{col 26}{space 2}  .032878{col 37}{space 1}    2.77{col 46}{space 3}0.006{col 54}{space 4} .0263583{col 67}{space 3} .1560817
{txt}c_tfull_ed~r {c |}{col 14}{res}{space 2} .0045883{col 26}{space 2} .0016172{col 37}{space 1}    2.84{col 46}{space 3}0.005{col 54}{space 4}  .001398{col 67}{space 3} .0077787
{txt}c_tfull_b_~x {c |}{col 14}{res}{space 2} .0275659{col 26}{space 2} .0086925{col 37}{space 1}    3.17{col 46}{space 3}0.002{col 54}{space 4} .0104174{col 67}{space 3} .0447144
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} .0035564{col 26}{space 2} .0191754{col 37}{space 1}    0.19{col 46}{space 3}0.853{col 54}{space 4}-.0342728{col 67}{space 3} .0413856
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull = .136{p_end}

{txt}       F(  1,   186) ={res}   21.64
{txt}{col 13}Prob > F ={res}    0.0000

{p 0 7}{space 1}{text:( 1)}{space 1} treatfull = -.136{p_end}

{txt}       F(  1,   186) ={res}   25.52
{txt}{col 13}Prob > F ={res}    0.0000
{txt}note: b_commtg_z_d omitted because of collinearity
{res}
{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}     7,288
{txt}{col 49}F({res}   8{txt},{res}    186{txt}){col 67}= {res}     11.69
{txt}{col 49}Prob > F{col 67}= {res}    0.0000
{txt}{col 49}R-squared{col 67}= {res}    0.0961
{txt}{col 49}Adj R-squared{col 67}= {res}    0.0933
{txt}{col 49}Root MSE{col 67}= {res}    0.5588

{txt}{ralign 78:(Std. Err. adjusted for {res:187} clusters in hc_id)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}  e_commtg_z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2} .0055923{col 26}{space 2} .0280309{col 37}{space 1}    0.20{col 46}{space 3}0.842{col 54}{space 4}-.0497072{col 67}{space 3} .0608917
{txt}{space 2}b_commtg_z {c |}{col 14}{res}{space 2} .0757774{col 26}{space 2} .0135575{col 37}{space 1}    5.59{col 46}{space 3}0.000{col 54}{space 4} .0490312{col 67}{space 3} .1025235
{txt}b_commtg_z_d {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 1}c_tfull_hc2 {c |}{col 14}{res}{space 2} .1239928{col 26}{space 2} .0320277{col 37}{space 1}    3.87{col 46}{space 3}0.000{col 54}{space 4} .0608085{col 67}{space 3} .1871772
{txt}c_tfull_b_~l {c |}{col 14}{res}{space 2} .0852744{col 26}{space 2} .0385592{col 37}{space 1}    2.21{col 46}{space 3}0.028{col 54}{space 4} .0092047{col 67}{space 3} .1613441
{txt}c_tfull_b_~s {c |}{col 14}{res}{space 2} .0054989{col 26}{space 2}    .0554{col 37}{space 1}    0.10{col 46}{space 3}0.921{col 54}{space 4}-.1037943{col 67}{space 3} .1147921
{txt}c_tfull_b_~d {c |}{col 14}{res}{space 2}   .09122{col 26}{space 2}  .032878{col 37}{space 1}    2.77{col 46}{space 3}0.006{col 54}{space 4} .0263583{col 67}{space 3} .1560817
{txt}c_tfull_ed~r {c |}{col 14}{res}{space 2} .0045883{col 26}{space 2} .0016172{col 37}{space 1}    2.84{col 46}{space 3}0.005{col 54}{space 4}  .001398{col 67}{space 3} .0077787
{txt}c_tfull_b_~x {c |}{col 14}{res}{space 2} .0275659{col 26}{space 2} .0086925{col 37}{space 1}    3.17{col 46}{space 3}0.002{col 54}{space 4} .0104174{col 67}{space 3} .0447144
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} .0035564{col 26}{space 2} .0191754{col 37}{space 1}    0.19{col 46}{space 3}0.853{col 54}{space 4}-.0342728{col 67}{space 3} .0413856
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull = .137{p_end}

{txt}       F(  1,   186) ={res}   21.98
{txt}{col 13}Prob > F ={res}    0.0000

{p 0 7}{space 1}{text:( 1)}{space 1} treatfull = -.137{p_end}

{txt}       F(  1,   186) ={res}   25.88
{txt}{col 13}Prob > F ={res}    0.0000
{txt}note: b_commtg_z_d omitted because of collinearity
{res}
{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}     7,288
{txt}{col 49}F({res}   8{txt},{res}    186{txt}){col 67}= {res}     11.69
{txt}{col 49}Prob > F{col 67}= {res}    0.0000
{txt}{col 49}R-squared{col 67}= {res}    0.0961
{txt}{col 49}Adj R-squared{col 67}= {res}    0.0933
{txt}{col 49}Root MSE{col 67}= {res}    0.5588

{txt}{ralign 78:(Std. Err. adjusted for {res:187} clusters in hc_id)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}  e_commtg_z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2} .0055923{col 26}{space 2} .0280309{col 37}{space 1}    0.20{col 46}{space 3}0.842{col 54}{space 4}-.0497072{col 67}{space 3} .0608917
{txt}{space 2}b_commtg_z {c |}{col 14}{res}{space 2} .0757774{col 26}{space 2} .0135575{col 37}{space 1}    5.59{col 46}{space 3}0.000{col 54}{space 4} .0490312{col 67}{space 3} .1025235
{txt}b_commtg_z_d {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 1}c_tfull_hc2 {c |}{col 14}{res}{space 2} .1239928{col 26}{space 2} .0320277{col 37}{space 1}    3.87{col 46}{space 3}0.000{col 54}{space 4} .0608085{col 67}{space 3} .1871772
{txt}c_tfull_b_~l {c |}{col 14}{res}{space 2} .0852744{col 26}{space 2} .0385592{col 37}{space 1}    2.21{col 46}{space 3}0.028{col 54}{space 4} .0092047{col 67}{space 3} .1613441
{txt}c_tfull_b_~s {c |}{col 14}{res}{space 2} .0054989{col 26}{space 2}    .0554{col 37}{space 1}    0.10{col 46}{space 3}0.921{col 54}{space 4}-.1037943{col 67}{space 3} .1147921
{txt}c_tfull_b_~d {c |}{col 14}{res}{space 2}   .09122{col 26}{space 2}  .032878{col 37}{space 1}    2.77{col 46}{space 3}0.006{col 54}{space 4} .0263583{col 67}{space 3} .1560817
{txt}c_tfull_ed~r {c |}{col 14}{res}{space 2} .0045883{col 26}{space 2} .0016172{col 37}{space 1}    2.84{col 46}{space 3}0.005{col 54}{space 4}  .001398{col 67}{space 3} .0077787
{txt}c_tfull_b_~x {c |}{col 14}{res}{space 2} .0275659{col 26}{space 2} .0086925{col 37}{space 1}    3.17{col 46}{space 3}0.002{col 54}{space 4} .0104174{col 67}{space 3} .0447144
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} .0035564{col 26}{space 2} .0191754{col 37}{space 1}    0.19{col 46}{space 3}0.853{col 54}{space 4}-.0342728{col 67}{space 3} .0413856
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull = .138{p_end}

{txt}       F(  1,   186) ={res}   22.31
{txt}{col 13}Prob > F ={res}    0.0000

{p 0 7}{space 1}{text:( 1)}{space 1} treatfull = -.138{p_end}

{txt}       F(  1,   186) ={res}   26.24
{txt}{col 13}Prob > F ={res}    0.0000
{txt}note: b_commtg_z_d omitted because of collinearity
{res}
{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}     7,288
{txt}{col 49}F({res}   8{txt},{res}    186{txt}){col 67}= {res}     11.69
{txt}{col 49}Prob > F{col 67}= {res}    0.0000
{txt}{col 49}R-squared{col 67}= {res}    0.0961
{txt}{col 49}Adj R-squared{col 67}= {res}    0.0933
{txt}{col 49}Root MSE{col 67}= {res}    0.5588

{txt}{ralign 78:(Std. Err. adjusted for {res:187} clusters in hc_id)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}  e_commtg_z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2} .0055923{col 26}{space 2} .0280309{col 37}{space 1}    0.20{col 46}{space 3}0.842{col 54}{space 4}-.0497072{col 67}{space 3} .0608917
{txt}{space 2}b_commtg_z {c |}{col 14}{res}{space 2} .0757774{col 26}{space 2} .0135575{col 37}{space 1}    5.59{col 46}{space 3}0.000{col 54}{space 4} .0490312{col 67}{space 3} .1025235
{txt}b_commtg_z_d {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 1}c_tfull_hc2 {c |}{col 14}{res}{space 2} .1239928{col 26}{space 2} .0320277{col 37}{space 1}    3.87{col 46}{space 3}0.000{col 54}{space 4} .0608085{col 67}{space 3} .1871772
{txt}c_tfull_b_~l {c |}{col 14}{res}{space 2} .0852744{col 26}{space 2} .0385592{col 37}{space 1}    2.21{col 46}{space 3}0.028{col 54}{space 4} .0092047{col 67}{space 3} .1613441
{txt}c_tfull_b_~s {c |}{col 14}{res}{space 2} .0054989{col 26}{space 2}    .0554{col 37}{space 1}    0.10{col 46}{space 3}0.921{col 54}{space 4}-.1037943{col 67}{space 3} .1147921
{txt}c_tfull_b_~d {c |}{col 14}{res}{space 2}   .09122{col 26}{space 2}  .032878{col 37}{space 1}    2.77{col 46}{space 3}0.006{col 54}{space 4} .0263583{col 67}{space 3} .1560817
{txt}c_tfull_ed~r {c |}{col 14}{res}{space 2} .0045883{col 26}{space 2} .0016172{col 37}{space 1}    2.84{col 46}{space 3}0.005{col 54}{space 4}  .001398{col 67}{space 3} .0077787
{txt}c_tfull_b_~x {c |}{col 14}{res}{space 2} .0275659{col 26}{space 2} .0086925{col 37}{space 1}    3.17{col 46}{space 3}0.002{col 54}{space 4} .0104174{col 67}{space 3} .0447144
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} .0035564{col 26}{space 2} .0191754{col 37}{space 1}    0.19{col 46}{space 3}0.853{col 54}{space 4}-.0342728{col 67}{space 3} .0413856
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull = .139{p_end}

{txt}       F(  1,   186) ={res}   22.65
{txt}{col 13}Prob > F ={res}    0.0000

{p 0 7}{space 1}{text:( 1)}{space 1} treatfull = -.139{p_end}

{txt}       F(  1,   186) ={res}   26.61
{txt}{col 13}Prob > F ={res}    0.0000
{txt}note: b_commtg_z_d omitted because of collinearity
{res}
{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}     7,288
{txt}{col 49}F({res}   8{txt},{res}    186{txt}){col 67}= {res}     11.69
{txt}{col 49}Prob > F{col 67}= {res}    0.0000
{txt}{col 49}R-squared{col 67}= {res}    0.0961
{txt}{col 49}Adj R-squared{col 67}= {res}    0.0933
{txt}{col 49}Root MSE{col 67}= {res}    0.5588

{txt}{ralign 78:(Std. Err. adjusted for {res:187} clusters in hc_id)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}  e_commtg_z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2} .0055923{col 26}{space 2} .0280309{col 37}{space 1}    0.20{col 46}{space 3}0.842{col 54}{space 4}-.0497072{col 67}{space 3} .0608917
{txt}{space 2}b_commtg_z {c |}{col 14}{res}{space 2} .0757774{col 26}{space 2} .0135575{col 37}{space 1}    5.59{col 46}{space 3}0.000{col 54}{space 4} .0490312{col 67}{space 3} .1025235
{txt}b_commtg_z_d {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 1}c_tfull_hc2 {c |}{col 14}{res}{space 2} .1239928{col 26}{space 2} .0320277{col 37}{space 1}    3.87{col 46}{space 3}0.000{col 54}{space 4} .0608085{col 67}{space 3} .1871772
{txt}c_tfull_b_~l {c |}{col 14}{res}{space 2} .0852744{col 26}{space 2} .0385592{col 37}{space 1}    2.21{col 46}{space 3}0.028{col 54}{space 4} .0092047{col 67}{space 3} .1613441
{txt}c_tfull_b_~s {c |}{col 14}{res}{space 2} .0054989{col 26}{space 2}    .0554{col 37}{space 1}    0.10{col 46}{space 3}0.921{col 54}{space 4}-.1037943{col 67}{space 3} .1147921
{txt}c_tfull_b_~d {c |}{col 14}{res}{space 2}   .09122{col 26}{space 2}  .032878{col 37}{space 1}    2.77{col 46}{space 3}0.006{col 54}{space 4} .0263583{col 67}{space 3} .1560817
{txt}c_tfull_ed~r {c |}{col 14}{res}{space 2} .0045883{col 26}{space 2} .0016172{col 37}{space 1}    2.84{col 46}{space 3}0.005{col 54}{space 4}  .001398{col 67}{space 3} .0077787
{txt}c_tfull_b_~x {c |}{col 14}{res}{space 2} .0275659{col 26}{space 2} .0086925{col 37}{space 1}    3.17{col 46}{space 3}0.002{col 54}{space 4} .0104174{col 67}{space 3} .0447144
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} .0035564{col 26}{space 2} .0191754{col 37}{space 1}    0.19{col 46}{space 3}0.853{col 54}{space 4}-.0342728{col 67}{space 3} .0413856
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull = .14{p_end}

{txt}       F(  1,   186) ={res}   22.99
{txt}{col 13}Prob > F ={res}    0.0000

{p 0 7}{space 1}{text:( 1)}{space 1} treatfull = -.14{p_end}

{txt}       F(  1,   186) ={res}   26.98
{txt}{col 13}Prob > F ={res}    0.0000
{txt}note: b_commtg_z_d omitted because of collinearity
{res}
{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}     7,288
{txt}{col 49}F({res}   8{txt},{res}    186{txt}){col 67}= {res}     11.69
{txt}{col 49}Prob > F{col 67}= {res}    0.0000
{txt}{col 49}R-squared{col 67}= {res}    0.0961
{txt}{col 49}Adj R-squared{col 67}= {res}    0.0933
{txt}{col 49}Root MSE{col 67}= {res}    0.5588

{txt}{ralign 78:(Std. Err. adjusted for {res:187} clusters in hc_id)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}  e_commtg_z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2} .0055923{col 26}{space 2} .0280309{col 37}{space 1}    0.20{col 46}{space 3}0.842{col 54}{space 4}-.0497072{col 67}{space 3} .0608917
{txt}{space 2}b_commtg_z {c |}{col 14}{res}{space 2} .0757774{col 26}{space 2} .0135575{col 37}{space 1}    5.59{col 46}{space 3}0.000{col 54}{space 4} .0490312{col 67}{space 3} .1025235
{txt}b_commtg_z_d {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 1}c_tfull_hc2 {c |}{col 14}{res}{space 2} .1239928{col 26}{space 2} .0320277{col 37}{space 1}    3.87{col 46}{space 3}0.000{col 54}{space 4} .0608085{col 67}{space 3} .1871772
{txt}c_tfull_b_~l {c |}{col 14}{res}{space 2} .0852744{col 26}{space 2} .0385592{col 37}{space 1}    2.21{col 46}{space 3}0.028{col 54}{space 4} .0092047{col 67}{space 3} .1613441
{txt}c_tfull_b_~s {c |}{col 14}{res}{space 2} .0054989{col 26}{space 2}    .0554{col 37}{space 1}    0.10{col 46}{space 3}0.921{col 54}{space 4}-.1037943{col 67}{space 3} .1147921
{txt}c_tfull_b_~d {c |}{col 14}{res}{space 2}   .09122{col 26}{space 2}  .032878{col 37}{space 1}    2.77{col 46}{space 3}0.006{col 54}{space 4} .0263583{col 67}{space 3} .1560817
{txt}c_tfull_ed~r {c |}{col 14}{res}{space 2} .0045883{col 26}{space 2} .0016172{col 37}{space 1}    2.84{col 46}{space 3}0.005{col 54}{space 4}  .001398{col 67}{space 3} .0077787
{txt}c_tfull_b_~x {c |}{col 14}{res}{space 2} .0275659{col 26}{space 2} .0086925{col 37}{space 1}    3.17{col 46}{space 3}0.002{col 54}{space 4} .0104174{col 67}{space 3} .0447144
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} .0035564{col 26}{space 2} .0191754{col 37}{space 1}    0.19{col 46}{space 3}0.853{col 54}{space 4}-.0342728{col 67}{space 3} .0413856
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull = .141{p_end}

{txt}       F(  1,   186) ={res}   23.34
{txt}{col 13}Prob > F ={res}    0.0000

{p 0 7}{space 1}{text:( 1)}{space 1} treatfull = -.141{p_end}

{txt}       F(  1,   186) ={res}   27.35
{txt}{col 13}Prob > F ={res}    0.0000
{txt}note: b_commtg_z_d omitted because of collinearity
{res}
{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}     7,288
{txt}{col 49}F({res}   8{txt},{res}    186{txt}){col 67}= {res}     11.69
{txt}{col 49}Prob > F{col 67}= {res}    0.0000
{txt}{col 49}R-squared{col 67}= {res}    0.0961
{txt}{col 49}Adj R-squared{col 67}= {res}    0.0933
{txt}{col 49}Root MSE{col 67}= {res}    0.5588

{txt}{ralign 78:(Std. Err. adjusted for {res:187} clusters in hc_id)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}  e_commtg_z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2} .0055923{col 26}{space 2} .0280309{col 37}{space 1}    0.20{col 46}{space 3}0.842{col 54}{space 4}-.0497072{col 67}{space 3} .0608917
{txt}{space 2}b_commtg_z {c |}{col 14}{res}{space 2} .0757774{col 26}{space 2} .0135575{col 37}{space 1}    5.59{col 46}{space 3}0.000{col 54}{space 4} .0490312{col 67}{space 3} .1025235
{txt}b_commtg_z_d {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 1}c_tfull_hc2 {c |}{col 14}{res}{space 2} .1239928{col 26}{space 2} .0320277{col 37}{space 1}    3.87{col 46}{space 3}0.000{col 54}{space 4} .0608085{col 67}{space 3} .1871772
{txt}c_tfull_b_~l {c |}{col 14}{res}{space 2} .0852744{col 26}{space 2} .0385592{col 37}{space 1}    2.21{col 46}{space 3}0.028{col 54}{space 4} .0092047{col 67}{space 3} .1613441
{txt}c_tfull_b_~s {c |}{col 14}{res}{space 2} .0054989{col 26}{space 2}    .0554{col 37}{space 1}    0.10{col 46}{space 3}0.921{col 54}{space 4}-.1037943{col 67}{space 3} .1147921
{txt}c_tfull_b_~d {c |}{col 14}{res}{space 2}   .09122{col 26}{space 2}  .032878{col 37}{space 1}    2.77{col 46}{space 3}0.006{col 54}{space 4} .0263583{col 67}{space 3} .1560817
{txt}c_tfull_ed~r {c |}{col 14}{res}{space 2} .0045883{col 26}{space 2} .0016172{col 37}{space 1}    2.84{col 46}{space 3}0.005{col 54}{space 4}  .001398{col 67}{space 3} .0077787
{txt}c_tfull_b_~x {c |}{col 14}{res}{space 2} .0275659{col 26}{space 2} .0086925{col 37}{space 1}    3.17{col 46}{space 3}0.002{col 54}{space 4} .0104174{col 67}{space 3} .0447144
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} .0035564{col 26}{space 2} .0191754{col 37}{space 1}    0.19{col 46}{space 3}0.853{col 54}{space 4}-.0342728{col 67}{space 3} .0413856
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull = .142{p_end}

{txt}       F(  1,   186) ={res}   23.68
{txt}{col 13}Prob > F ={res}    0.0000

{p 0 7}{space 1}{text:( 1)}{space 1} treatfull = -.142{p_end}

{txt}       F(  1,   186) ={res}   27.72
{txt}{col 13}Prob > F ={res}    0.0000
{txt}note: b_commtg_z_d omitted because of collinearity
{res}
{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}     7,288
{txt}{col 49}F({res}   8{txt},{res}    186{txt}){col 67}= {res}     11.69
{txt}{col 49}Prob > F{col 67}= {res}    0.0000
{txt}{col 49}R-squared{col 67}= {res}    0.0961
{txt}{col 49}Adj R-squared{col 67}= {res}    0.0933
{txt}{col 49}Root MSE{col 67}= {res}    0.5588

{txt}{ralign 78:(Std. Err. adjusted for {res:187} clusters in hc_id)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}  e_commtg_z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2} .0055923{col 26}{space 2} .0280309{col 37}{space 1}    0.20{col 46}{space 3}0.842{col 54}{space 4}-.0497072{col 67}{space 3} .0608917
{txt}{space 2}b_commtg_z {c |}{col 14}{res}{space 2} .0757774{col 26}{space 2} .0135575{col 37}{space 1}    5.59{col 46}{space 3}0.000{col 54}{space 4} .0490312{col 67}{space 3} .1025235
{txt}b_commtg_z_d {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 1}c_tfull_hc2 {c |}{col 14}{res}{space 2} .1239928{col 26}{space 2} .0320277{col 37}{space 1}    3.87{col 46}{space 3}0.000{col 54}{space 4} .0608085{col 67}{space 3} .1871772
{txt}c_tfull_b_~l {c |}{col 14}{res}{space 2} .0852744{col 26}{space 2} .0385592{col 37}{space 1}    2.21{col 46}{space 3}0.028{col 54}{space 4} .0092047{col 67}{space 3} .1613441
{txt}c_tfull_b_~s {c |}{col 14}{res}{space 2} .0054989{col 26}{space 2}    .0554{col 37}{space 1}    0.10{col 46}{space 3}0.921{col 54}{space 4}-.1037943{col 67}{space 3} .1147921
{txt}c_tfull_b_~d {c |}{col 14}{res}{space 2}   .09122{col 26}{space 2}  .032878{col 37}{space 1}    2.77{col 46}{space 3}0.006{col 54}{space 4} .0263583{col 67}{space 3} .1560817
{txt}c_tfull_ed~r {c |}{col 14}{res}{space 2} .0045883{col 26}{space 2} .0016172{col 37}{space 1}    2.84{col 46}{space 3}0.005{col 54}{space 4}  .001398{col 67}{space 3} .0077787
{txt}c_tfull_b_~x {c |}{col 14}{res}{space 2} .0275659{col 26}{space 2} .0086925{col 37}{space 1}    3.17{col 46}{space 3}0.002{col 54}{space 4} .0104174{col 67}{space 3} .0447144
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} .0035564{col 26}{space 2} .0191754{col 37}{space 1}    0.19{col 46}{space 3}0.853{col 54}{space 4}-.0342728{col 67}{space 3} .0413856
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull = .143{p_end}

{txt}       F(  1,   186) ={res}   24.03
{txt}{col 13}Prob > F ={res}    0.0000

{p 0 7}{space 1}{text:( 1)}{space 1} treatfull = -.143{p_end}

{txt}       F(  1,   186) ={res}   28.10
{txt}{col 13}Prob > F ={res}    0.0000
{txt}note: b_commtg_z_d omitted because of collinearity
{res}
{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}     7,288
{txt}{col 49}F({res}   8{txt},{res}    186{txt}){col 67}= {res}     11.69
{txt}{col 49}Prob > F{col 67}= {res}    0.0000
{txt}{col 49}R-squared{col 67}= {res}    0.0961
{txt}{col 49}Adj R-squared{col 67}= {res}    0.0933
{txt}{col 49}Root MSE{col 67}= {res}    0.5588

{txt}{ralign 78:(Std. Err. adjusted for {res:187} clusters in hc_id)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}  e_commtg_z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2} .0055923{col 26}{space 2} .0280309{col 37}{space 1}    0.20{col 46}{space 3}0.842{col 54}{space 4}-.0497072{col 67}{space 3} .0608917
{txt}{space 2}b_commtg_z {c |}{col 14}{res}{space 2} .0757774{col 26}{space 2} .0135575{col 37}{space 1}    5.59{col 46}{space 3}0.000{col 54}{space 4} .0490312{col 67}{space 3} .1025235
{txt}b_commtg_z_d {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 1}c_tfull_hc2 {c |}{col 14}{res}{space 2} .1239928{col 26}{space 2} .0320277{col 37}{space 1}    3.87{col 46}{space 3}0.000{col 54}{space 4} .0608085{col 67}{space 3} .1871772
{txt}c_tfull_b_~l {c |}{col 14}{res}{space 2} .0852744{col 26}{space 2} .0385592{col 37}{space 1}    2.21{col 46}{space 3}0.028{col 54}{space 4} .0092047{col 67}{space 3} .1613441
{txt}c_tfull_b_~s {c |}{col 14}{res}{space 2} .0054989{col 26}{space 2}    .0554{col 37}{space 1}    0.10{col 46}{space 3}0.921{col 54}{space 4}-.1037943{col 67}{space 3} .1147921
{txt}c_tfull_b_~d {c |}{col 14}{res}{space 2}   .09122{col 26}{space 2}  .032878{col 37}{space 1}    2.77{col 46}{space 3}0.006{col 54}{space 4} .0263583{col 67}{space 3} .1560817
{txt}c_tfull_ed~r {c |}{col 14}{res}{space 2} .0045883{col 26}{space 2} .0016172{col 37}{space 1}    2.84{col 46}{space 3}0.005{col 54}{space 4}  .001398{col 67}{space 3} .0077787
{txt}c_tfull_b_~x {c |}{col 14}{res}{space 2} .0275659{col 26}{space 2} .0086925{col 37}{space 1}    3.17{col 46}{space 3}0.002{col 54}{space 4} .0104174{col 67}{space 3} .0447144
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} .0035564{col 26}{space 2} .0191754{col 37}{space 1}    0.19{col 46}{space 3}0.853{col 54}{space 4}-.0342728{col 67}{space 3} .0413856
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull = .144{p_end}

{txt}       F(  1,   186) ={res}   24.38
{txt}{col 13}Prob > F ={res}    0.0000

{p 0 7}{space 1}{text:( 1)}{space 1} treatfull = -.144{p_end}

{txt}       F(  1,   186) ={res}   28.48
{txt}{col 13}Prob > F ={res}    0.0000
{txt}note: b_commtg_z_d omitted because of collinearity
{res}
{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}     7,288
{txt}{col 49}F({res}   8{txt},{res}    186{txt}){col 67}= {res}     11.69
{txt}{col 49}Prob > F{col 67}= {res}    0.0000
{txt}{col 49}R-squared{col 67}= {res}    0.0961
{txt}{col 49}Adj R-squared{col 67}= {res}    0.0933
{txt}{col 49}Root MSE{col 67}= {res}    0.5588

{txt}{ralign 78:(Std. Err. adjusted for {res:187} clusters in hc_id)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}  e_commtg_z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2} .0055923{col 26}{space 2} .0280309{col 37}{space 1}    0.20{col 46}{space 3}0.842{col 54}{space 4}-.0497072{col 67}{space 3} .0608917
{txt}{space 2}b_commtg_z {c |}{col 14}{res}{space 2} .0757774{col 26}{space 2} .0135575{col 37}{space 1}    5.59{col 46}{space 3}0.000{col 54}{space 4} .0490312{col 67}{space 3} .1025235
{txt}b_commtg_z_d {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 1}c_tfull_hc2 {c |}{col 14}{res}{space 2} .1239928{col 26}{space 2} .0320277{col 37}{space 1}    3.87{col 46}{space 3}0.000{col 54}{space 4} .0608085{col 67}{space 3} .1871772
{txt}c_tfull_b_~l {c |}{col 14}{res}{space 2} .0852744{col 26}{space 2} .0385592{col 37}{space 1}    2.21{col 46}{space 3}0.028{col 54}{space 4} .0092047{col 67}{space 3} .1613441
{txt}c_tfull_b_~s {c |}{col 14}{res}{space 2} .0054989{col 26}{space 2}    .0554{col 37}{space 1}    0.10{col 46}{space 3}0.921{col 54}{space 4}-.1037943{col 67}{space 3} .1147921
{txt}c_tfull_b_~d {c |}{col 14}{res}{space 2}   .09122{col 26}{space 2}  .032878{col 37}{space 1}    2.77{col 46}{space 3}0.006{col 54}{space 4} .0263583{col 67}{space 3} .1560817
{txt}c_tfull_ed~r {c |}{col 14}{res}{space 2} .0045883{col 26}{space 2} .0016172{col 37}{space 1}    2.84{col 46}{space 3}0.005{col 54}{space 4}  .001398{col 67}{space 3} .0077787
{txt}c_tfull_b_~x {c |}{col 14}{res}{space 2} .0275659{col 26}{space 2} .0086925{col 37}{space 1}    3.17{col 46}{space 3}0.002{col 54}{space 4} .0104174{col 67}{space 3} .0447144
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} .0035564{col 26}{space 2} .0191754{col 37}{space 1}    0.19{col 46}{space 3}0.853{col 54}{space 4}-.0342728{col 67}{space 3} .0413856
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull = .145{p_end}

{txt}       F(  1,   186) ={res}   24.73
{txt}{col 13}Prob > F ={res}    0.0000

{p 0 7}{space 1}{text:( 1)}{space 1} treatfull = -.145{p_end}

{txt}       F(  1,   186) ={res}   28.86
{txt}{col 13}Prob > F ={res}    0.0000
{txt}note: b_commtg_z_d omitted because of collinearity
{res}
{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}     7,288
{txt}{col 49}F({res}   8{txt},{res}    186{txt}){col 67}= {res}     11.69
{txt}{col 49}Prob > F{col 67}= {res}    0.0000
{txt}{col 49}R-squared{col 67}= {res}    0.0961
{txt}{col 49}Adj R-squared{col 67}= {res}    0.0933
{txt}{col 49}Root MSE{col 67}= {res}    0.5588

{txt}{ralign 78:(Std. Err. adjusted for {res:187} clusters in hc_id)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}  e_commtg_z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2} .0055923{col 26}{space 2} .0280309{col 37}{space 1}    0.20{col 46}{space 3}0.842{col 54}{space 4}-.0497072{col 67}{space 3} .0608917
{txt}{space 2}b_commtg_z {c |}{col 14}{res}{space 2} .0757774{col 26}{space 2} .0135575{col 37}{space 1}    5.59{col 46}{space 3}0.000{col 54}{space 4} .0490312{col 67}{space 3} .1025235
{txt}b_commtg_z_d {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 1}c_tfull_hc2 {c |}{col 14}{res}{space 2} .1239928{col 26}{space 2} .0320277{col 37}{space 1}    3.87{col 46}{space 3}0.000{col 54}{space 4} .0608085{col 67}{space 3} .1871772
{txt}c_tfull_b_~l {c |}{col 14}{res}{space 2} .0852744{col 26}{space 2} .0385592{col 37}{space 1}    2.21{col 46}{space 3}0.028{col 54}{space 4} .0092047{col 67}{space 3} .1613441
{txt}c_tfull_b_~s {c |}{col 14}{res}{space 2} .0054989{col 26}{space 2}    .0554{col 37}{space 1}    0.10{col 46}{space 3}0.921{col 54}{space 4}-.1037943{col 67}{space 3} .1147921
{txt}c_tfull_b_~d {c |}{col 14}{res}{space 2}   .09122{col 26}{space 2}  .032878{col 37}{space 1}    2.77{col 46}{space 3}0.006{col 54}{space 4} .0263583{col 67}{space 3} .1560817
{txt}c_tfull_ed~r {c |}{col 14}{res}{space 2} .0045883{col 26}{space 2} .0016172{col 37}{space 1}    2.84{col 46}{space 3}0.005{col 54}{space 4}  .001398{col 67}{space 3} .0077787
{txt}c_tfull_b_~x {c |}{col 14}{res}{space 2} .0275659{col 26}{space 2} .0086925{col 37}{space 1}    3.17{col 46}{space 3}0.002{col 54}{space 4} .0104174{col 67}{space 3} .0447144
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} .0035564{col 26}{space 2} .0191754{col 37}{space 1}    0.19{col 46}{space 3}0.853{col 54}{space 4}-.0342728{col 67}{space 3} .0413856
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull = .146{p_end}

{txt}       F(  1,   186) ={res}   25.09
{txt}{col 13}Prob > F ={res}    0.0000

{p 0 7}{space 1}{text:( 1)}{space 1} treatfull = -.146{p_end}

{txt}       F(  1,   186) ={res}   29.25
{txt}{col 13}Prob > F ={res}    0.0000
{txt}note: b_commtg_z_d omitted because of collinearity
{res}
{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}     7,288
{txt}{col 49}F({res}   8{txt},{res}    186{txt}){col 67}= {res}     11.69
{txt}{col 49}Prob > F{col 67}= {res}    0.0000
{txt}{col 49}R-squared{col 67}= {res}    0.0961
{txt}{col 49}Adj R-squared{col 67}= {res}    0.0933
{txt}{col 49}Root MSE{col 67}= {res}    0.5588

{txt}{ralign 78:(Std. Err. adjusted for {res:187} clusters in hc_id)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}  e_commtg_z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2} .0055923{col 26}{space 2} .0280309{col 37}{space 1}    0.20{col 46}{space 3}0.842{col 54}{space 4}-.0497072{col 67}{space 3} .0608917
{txt}{space 2}b_commtg_z {c |}{col 14}{res}{space 2} .0757774{col 26}{space 2} .0135575{col 37}{space 1}    5.59{col 46}{space 3}0.000{col 54}{space 4} .0490312{col 67}{space 3} .1025235
{txt}b_commtg_z_d {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 1}c_tfull_hc2 {c |}{col 14}{res}{space 2} .1239928{col 26}{space 2} .0320277{col 37}{space 1}    3.87{col 46}{space 3}0.000{col 54}{space 4} .0608085{col 67}{space 3} .1871772
{txt}c_tfull_b_~l {c |}{col 14}{res}{space 2} .0852744{col 26}{space 2} .0385592{col 37}{space 1}    2.21{col 46}{space 3}0.028{col 54}{space 4} .0092047{col 67}{space 3} .1613441
{txt}c_tfull_b_~s {c |}{col 14}{res}{space 2} .0054989{col 26}{space 2}    .0554{col 37}{space 1}    0.10{col 46}{space 3}0.921{col 54}{space 4}-.1037943{col 67}{space 3} .1147921
{txt}c_tfull_b_~d {c |}{col 14}{res}{space 2}   .09122{col 26}{space 2}  .032878{col 37}{space 1}    2.77{col 46}{space 3}0.006{col 54}{space 4} .0263583{col 67}{space 3} .1560817
{txt}c_tfull_ed~r {c |}{col 14}{res}{space 2} .0045883{col 26}{space 2} .0016172{col 37}{space 1}    2.84{col 46}{space 3}0.005{col 54}{space 4}  .001398{col 67}{space 3} .0077787
{txt}c_tfull_b_~x {c |}{col 14}{res}{space 2} .0275659{col 26}{space 2} .0086925{col 37}{space 1}    3.17{col 46}{space 3}0.002{col 54}{space 4} .0104174{col 67}{space 3} .0447144
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} .0035564{col 26}{space 2} .0191754{col 37}{space 1}    0.19{col 46}{space 3}0.853{col 54}{space 4}-.0342728{col 67}{space 3} .0413856
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull = .147{p_end}

{txt}       F(  1,   186) ={res}   25.45
{txt}{col 13}Prob > F ={res}    0.0000

{p 0 7}{space 1}{text:( 1)}{space 1} treatfull = -.147{p_end}

{txt}       F(  1,   186) ={res}   29.63
{txt}{col 13}Prob > F ={res}    0.0000
{txt}note: b_commtg_z_d omitted because of collinearity
{res}
{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}     7,288
{txt}{col 49}F({res}   8{txt},{res}    186{txt}){col 67}= {res}     11.69
{txt}{col 49}Prob > F{col 67}= {res}    0.0000
{txt}{col 49}R-squared{col 67}= {res}    0.0961
{txt}{col 49}Adj R-squared{col 67}= {res}    0.0933
{txt}{col 49}Root MSE{col 67}= {res}    0.5588

{txt}{ralign 78:(Std. Err. adjusted for {res:187} clusters in hc_id)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}  e_commtg_z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2} .0055923{col 26}{space 2} .0280309{col 37}{space 1}    0.20{col 46}{space 3}0.842{col 54}{space 4}-.0497072{col 67}{space 3} .0608917
{txt}{space 2}b_commtg_z {c |}{col 14}{res}{space 2} .0757774{col 26}{space 2} .0135575{col 37}{space 1}    5.59{col 46}{space 3}0.000{col 54}{space 4} .0490312{col 67}{space 3} .1025235
{txt}b_commtg_z_d {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 1}c_tfull_hc2 {c |}{col 14}{res}{space 2} .1239928{col 26}{space 2} .0320277{col 37}{space 1}    3.87{col 46}{space 3}0.000{col 54}{space 4} .0608085{col 67}{space 3} .1871772
{txt}c_tfull_b_~l {c |}{col 14}{res}{space 2} .0852744{col 26}{space 2} .0385592{col 37}{space 1}    2.21{col 46}{space 3}0.028{col 54}{space 4} .0092047{col 67}{space 3} .1613441
{txt}c_tfull_b_~s {c |}{col 14}{res}{space 2} .0054989{col 26}{space 2}    .0554{col 37}{space 1}    0.10{col 46}{space 3}0.921{col 54}{space 4}-.1037943{col 67}{space 3} .1147921
{txt}c_tfull_b_~d {c |}{col 14}{res}{space 2}   .09122{col 26}{space 2}  .032878{col 37}{space 1}    2.77{col 46}{space 3}0.006{col 54}{space 4} .0263583{col 67}{space 3} .1560817
{txt}c_tfull_ed~r {c |}{col 14}{res}{space 2} .0045883{col 26}{space 2} .0016172{col 37}{space 1}    2.84{col 46}{space 3}0.005{col 54}{space 4}  .001398{col 67}{space 3} .0077787
{txt}c_tfull_b_~x {c |}{col 14}{res}{space 2} .0275659{col 26}{space 2} .0086925{col 37}{space 1}    3.17{col 46}{space 3}0.002{col 54}{space 4} .0104174{col 67}{space 3} .0447144
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} .0035564{col 26}{space 2} .0191754{col 37}{space 1}    0.19{col 46}{space 3}0.853{col 54}{space 4}-.0342728{col 67}{space 3} .0413856
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull = .148{p_end}

{txt}       F(  1,   186) ={res}   25.81
{txt}{col 13}Prob > F ={res}    0.0000

{p 0 7}{space 1}{text:( 1)}{space 1} treatfull = -.148{p_end}

{txt}       F(  1,   186) ={res}   30.02
{txt}{col 13}Prob > F ={res}    0.0000
{txt}note: b_commtg_z_d omitted because of collinearity
{res}
{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}     7,288
{txt}{col 49}F({res}   8{txt},{res}    186{txt}){col 67}= {res}     11.69
{txt}{col 49}Prob > F{col 67}= {res}    0.0000
{txt}{col 49}R-squared{col 67}= {res}    0.0961
{txt}{col 49}Adj R-squared{col 67}= {res}    0.0933
{txt}{col 49}Root MSE{col 67}= {res}    0.5588

{txt}{ralign 78:(Std. Err. adjusted for {res:187} clusters in hc_id)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}  e_commtg_z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2} .0055923{col 26}{space 2} .0280309{col 37}{space 1}    0.20{col 46}{space 3}0.842{col 54}{space 4}-.0497072{col 67}{space 3} .0608917
{txt}{space 2}b_commtg_z {c |}{col 14}{res}{space 2} .0757774{col 26}{space 2} .0135575{col 37}{space 1}    5.59{col 46}{space 3}0.000{col 54}{space 4} .0490312{col 67}{space 3} .1025235
{txt}b_commtg_z_d {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 1}c_tfull_hc2 {c |}{col 14}{res}{space 2} .1239928{col 26}{space 2} .0320277{col 37}{space 1}    3.87{col 46}{space 3}0.000{col 54}{space 4} .0608085{col 67}{space 3} .1871772
{txt}c_tfull_b_~l {c |}{col 14}{res}{space 2} .0852744{col 26}{space 2} .0385592{col 37}{space 1}    2.21{col 46}{space 3}0.028{col 54}{space 4} .0092047{col 67}{space 3} .1613441
{txt}c_tfull_b_~s {c |}{col 14}{res}{space 2} .0054989{col 26}{space 2}    .0554{col 37}{space 1}    0.10{col 46}{space 3}0.921{col 54}{space 4}-.1037943{col 67}{space 3} .1147921
{txt}c_tfull_b_~d {c |}{col 14}{res}{space 2}   .09122{col 26}{space 2}  .032878{col 37}{space 1}    2.77{col 46}{space 3}0.006{col 54}{space 4} .0263583{col 67}{space 3} .1560817
{txt}c_tfull_ed~r {c |}{col 14}{res}{space 2} .0045883{col 26}{space 2} .0016172{col 37}{space 1}    2.84{col 46}{space 3}0.005{col 54}{space 4}  .001398{col 67}{space 3} .0077787
{txt}c_tfull_b_~x {c |}{col 14}{res}{space 2} .0275659{col 26}{space 2} .0086925{col 37}{space 1}    3.17{col 46}{space 3}0.002{col 54}{space 4} .0104174{col 67}{space 3} .0447144
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} .0035564{col 26}{space 2} .0191754{col 37}{space 1}    0.19{col 46}{space 3}0.853{col 54}{space 4}-.0342728{col 67}{space 3} .0413856
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull = .149{p_end}

{txt}       F(  1,   186) ={res}   26.17
{txt}{col 13}Prob > F ={res}    0.0000

{p 0 7}{space 1}{text:( 1)}{space 1} treatfull = -.149{p_end}

{txt}       F(  1,   186) ={res}   30.42
{txt}{col 13}Prob > F ={res}    0.0000
{txt}
{com}.                 
.         * U5M indicator
.         
.         foreach x in `indices_hc' {c -(}
{txt}  2{com}.                 
.                 local y = 0
{txt}  3{com}. 
.                 forvalues i = .001(.001).15 {c -(}
{txt}  4{com}.                 
.                         local y = `y' + 1
{txt}  5{com}.                         
.                         * At endline
.                         
.                         areg  e_`x' treatfull b_`x' `e_controls_tfull_hc' ``var'_hc_int_e_controls' if uniquehc == 1, robust a(district)
{txt}  6{com}.                 
.                         test _b[treatfull] = `i'
{txt}  7{com}.                         loc pval_plus_`y' `r(p)'
{txt}  8{com}. 
.                         test _b[treatfull] =  (-1)*`i'
{txt}  9{com}.                         loc pval_minus_`y' `r(p)'
{txt} 10{com}. 
.                         if `pval_minus_`y'' >=  `pval_plus_`y'' {c -(}
{txt} 11{com}.                                 loc pvale`x'_`y'  `pval_minus_`y''
{txt} 12{com}.                                 {c )-}
{txt} 13{com}. 
.                         if `pval_minus_`y'' <  `pval_plus_`y'' {c -(}
{txt} 14{com}.                                 loc pvale`x'_`y'  `pval_plus_`y''
{txt} 15{com}.                                 {c )-}
{txt} 16{com}.                                 
.                         gen pvale`x'_`y' = `pvale`x'_`y''
{txt} 17{com}.                         
.                         {c )-}
{txt} 18{com}.                         
.                 {c )-}
{res}
{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}       187
{txt}{col 49}F({res}   8{txt},{res}    163{txt}){col 67}= {res}      0.82
{txt}{col 49}Prob > F{col 67}= {res}    0.5849
{txt}{col 49}R-squared{col 67}= {res}    0.1631
{txt}{col 49}Adj R-squared{col 67}= {res}    0.0450
{txt}{col 49}Root MSE{col 67}= {res}    0.0535

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}e_mortrat~05{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2}-.0102805{col 26}{space 2} .0079077{col 37}{space 1}   -1.30{col 46}{space 3}0.195{col 54}{space 4}-.0258953{col 67}{space 3} .0053342
{txt}b_mortrat~05 {c |}{col 14}{res}{space 2} .0712443{col 26}{space 2} .0625629{col 37}{space 1}    1.14{col 46}{space 3}0.256{col 54}{space 4} -.052294{col 67}{space 3} .1947826
{txt}c_tf~_hc_hc2 {c |}{col 14}{res}{space 2} .0049443{col 26}{space 2} .0115866{col 37}{space 1}    0.43{col 46}{space 3}0.670{col 54}{space 4} -.017935{col 67}{space 3} .0278236
{txt}c_tfull_hc~l {c |}{col 14}{res}{space 2} .0021414{col 26}{space 2} .0116084{col 37}{space 1}    0.18{col 46}{space 3}0.854{col 54}{space 4}-.0207808{col 67}{space 3} .0250636
{txt}c_tfull_hc~s {c |}{col 14}{res}{space 2}-.0060544{col 26}{space 2} .0168002{col 37}{space 1}   -0.36{col 46}{space 3}0.719{col 54}{space 4}-.0392284{col 67}{space 3} .0271197
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2}-.0366629{col 26}{space 2} .0456674{col 37}{space 1}   -0.80{col 46}{space 3}0.423{col 54}{space 4}-.1268389{col 67}{space 3}  .053513
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2} -.008413{col 26}{space 2} .0053887{col 37}{space 1}   -1.56{col 46}{space 3}0.120{col 54}{space 4}-.0190536{col 67}{space 3} .0022277
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2} .0133283{col 26}{space 2} .0175399{col 37}{space 1}    0.76{col 46}{space 3}0.448{col 54}{space 4}-.0213064{col 67}{space 3}  .047963
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} .0606044{col 26}{space 2} .0062373{col 37}{space 1}    9.72{col 46}{space 3}0.000{col 54}{space 4} .0482881{col 67}{space 3} .0729207
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull = .001{p_end}

{txt}       F(  1,   163) ={res}    2.03
{txt}{col 13}Prob > F ={res}    0.1556

{p 0 7}{space 1}{text:( 1)}{space 1} treatfull = -.001{p_end}

{txt}       F(  1,   163) ={res}    1.38
{txt}{col 13}Prob > F ={res}    0.2423

{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}       187
{txt}{col 49}F({res}   8{txt},{res}    163{txt}){col 67}= {res}      0.82
{txt}{col 49}Prob > F{col 67}= {res}    0.5849
{txt}{col 49}R-squared{col 67}= {res}    0.1631
{txt}{col 49}Adj R-squared{col 67}= {res}    0.0450
{txt}{col 49}Root MSE{col 67}= {res}    0.0535

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}e_mortrat~05{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2}-.0102805{col 26}{space 2} .0079077{col 37}{space 1}   -1.30{col 46}{space 3}0.195{col 54}{space 4}-.0258953{col 67}{space 3} .0053342
{txt}b_mortrat~05 {c |}{col 14}{res}{space 2} .0712443{col 26}{space 2} .0625629{col 37}{space 1}    1.14{col 46}{space 3}0.256{col 54}{space 4} -.052294{col 67}{space 3} .1947826
{txt}c_tf~_hc_hc2 {c |}{col 14}{res}{space 2} .0049443{col 26}{space 2} .0115866{col 37}{space 1}    0.43{col 46}{space 3}0.670{col 54}{space 4} -.017935{col 67}{space 3} .0278236
{txt}c_tfull_hc~l {c |}{col 14}{res}{space 2} .0021414{col 26}{space 2} .0116084{col 37}{space 1}    0.18{col 46}{space 3}0.854{col 54}{space 4}-.0207808{col 67}{space 3} .0250636
{txt}c_tfull_hc~s {c |}{col 14}{res}{space 2}-.0060544{col 26}{space 2} .0168002{col 37}{space 1}   -0.36{col 46}{space 3}0.719{col 54}{space 4}-.0392284{col 67}{space 3} .0271197
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2}-.0366629{col 26}{space 2} .0456674{col 37}{space 1}   -0.80{col 46}{space 3}0.423{col 54}{space 4}-.1268389{col 67}{space 3}  .053513
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2} -.008413{col 26}{space 2} .0053887{col 37}{space 1}   -1.56{col 46}{space 3}0.120{col 54}{space 4}-.0190536{col 67}{space 3} .0022277
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2} .0133283{col 26}{space 2} .0175399{col 37}{space 1}    0.76{col 46}{space 3}0.448{col 54}{space 4}-.0213064{col 67}{space 3}  .047963
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} .0606044{col 26}{space 2} .0062373{col 37}{space 1}    9.72{col 46}{space 3}0.000{col 54}{space 4} .0482881{col 67}{space 3} .0729207
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull = .002{p_end}

{txt}       F(  1,   163) ={res}    2.41
{txt}{col 13}Prob > F ={res}    0.1224

{p 0 7}{space 1}{text:( 1)}{space 1} treatfull = -.002{p_end}

{txt}       F(  1,   163) ={res}    1.10
{txt}{col 13}Prob > F ={res}    0.2966

{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}       187
{txt}{col 49}F({res}   8{txt},{res}    163{txt}){col 67}= {res}      0.82
{txt}{col 49}Prob > F{col 67}= {res}    0.5849
{txt}{col 49}R-squared{col 67}= {res}    0.1631
{txt}{col 49}Adj R-squared{col 67}= {res}    0.0450
{txt}{col 49}Root MSE{col 67}= {res}    0.0535

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}e_mortrat~05{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2}-.0102805{col 26}{space 2} .0079077{col 37}{space 1}   -1.30{col 46}{space 3}0.195{col 54}{space 4}-.0258953{col 67}{space 3} .0053342
{txt}b_mortrat~05 {c |}{col 14}{res}{space 2} .0712443{col 26}{space 2} .0625629{col 37}{space 1}    1.14{col 46}{space 3}0.256{col 54}{space 4} -.052294{col 67}{space 3} .1947826
{txt}c_tf~_hc_hc2 {c |}{col 14}{res}{space 2} .0049443{col 26}{space 2} .0115866{col 37}{space 1}    0.43{col 46}{space 3}0.670{col 54}{space 4} -.017935{col 67}{space 3} .0278236
{txt}c_tfull_hc~l {c |}{col 14}{res}{space 2} .0021414{col 26}{space 2} .0116084{col 37}{space 1}    0.18{col 46}{space 3}0.854{col 54}{space 4}-.0207808{col 67}{space 3} .0250636
{txt}c_tfull_hc~s {c |}{col 14}{res}{space 2}-.0060544{col 26}{space 2} .0168002{col 37}{space 1}   -0.36{col 46}{space 3}0.719{col 54}{space 4}-.0392284{col 67}{space 3} .0271197
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2}-.0366629{col 26}{space 2} .0456674{col 37}{space 1}   -0.80{col 46}{space 3}0.423{col 54}{space 4}-.1268389{col 67}{space 3}  .053513
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2} -.008413{col 26}{space 2} .0053887{col 37}{space 1}   -1.56{col 46}{space 3}0.120{col 54}{space 4}-.0190536{col 67}{space 3} .0022277
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2} .0133283{col 26}{space 2} .0175399{col 37}{space 1}    0.76{col 46}{space 3}0.448{col 54}{space 4}-.0213064{col 67}{space 3}  .047963
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} .0606044{col 26}{space 2} .0062373{col 37}{space 1}    9.72{col 46}{space 3}0.000{col 54}{space 4} .0482881{col 67}{space 3} .0729207
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull = .003{p_end}

{txt}       F(  1,   163) ={res}    2.82
{txt}{col 13}Prob > F ={res}    0.0950

{p 0 7}{space 1}{text:( 1)}{space 1} treatfull = -.003{p_end}

{txt}       F(  1,   163) ={res}    0.85
{txt}{col 13}Prob > F ={res}    0.3586

{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}       187
{txt}{col 49}F({res}   8{txt},{res}    163{txt}){col 67}= {res}      0.82
{txt}{col 49}Prob > F{col 67}= {res}    0.5849
{txt}{col 49}R-squared{col 67}= {res}    0.1631
{txt}{col 49}Adj R-squared{col 67}= {res}    0.0450
{txt}{col 49}Root MSE{col 67}= {res}    0.0535

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}e_mortrat~05{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2}-.0102805{col 26}{space 2} .0079077{col 37}{space 1}   -1.30{col 46}{space 3}0.195{col 54}{space 4}-.0258953{col 67}{space 3} .0053342
{txt}b_mortrat~05 {c |}{col 14}{res}{space 2} .0712443{col 26}{space 2} .0625629{col 37}{space 1}    1.14{col 46}{space 3}0.256{col 54}{space 4} -.052294{col 67}{space 3} .1947826
{txt}c_tf~_hc_hc2 {c |}{col 14}{res}{space 2} .0049443{col 26}{space 2} .0115866{col 37}{space 1}    0.43{col 46}{space 3}0.670{col 54}{space 4} -.017935{col 67}{space 3} .0278236
{txt}c_tfull_hc~l {c |}{col 14}{res}{space 2} .0021414{col 26}{space 2} .0116084{col 37}{space 1}    0.18{col 46}{space 3}0.854{col 54}{space 4}-.0207808{col 67}{space 3} .0250636
{txt}c_tfull_hc~s {c |}{col 14}{res}{space 2}-.0060544{col 26}{space 2} .0168002{col 37}{space 1}   -0.36{col 46}{space 3}0.719{col 54}{space 4}-.0392284{col 67}{space 3} .0271197
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2}-.0366629{col 26}{space 2} .0456674{col 37}{space 1}   -0.80{col 46}{space 3}0.423{col 54}{space 4}-.1268389{col 67}{space 3}  .053513
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2} -.008413{col 26}{space 2} .0053887{col 37}{space 1}   -1.56{col 46}{space 3}0.120{col 54}{space 4}-.0190536{col 67}{space 3} .0022277
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2} .0133283{col 26}{space 2} .0175399{col 37}{space 1}    0.76{col 46}{space 3}0.448{col 54}{space 4}-.0213064{col 67}{space 3}  .047963
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} .0606044{col 26}{space 2} .0062373{col 37}{space 1}    9.72{col 46}{space 3}0.000{col 54}{space 4} .0482881{col 67}{space 3} .0729207
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull = .004{p_end}

{txt}       F(  1,   163) ={res}    3.26
{txt}{col 13}Prob > F ={res}    0.0728

{p 0 7}{space 1}{text:( 1)}{space 1} treatfull = -.004{p_end}

{txt}       F(  1,   163) ={res}    0.63
{txt}{col 13}Prob > F ={res}    0.4282

{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}       187
{txt}{col 49}F({res}   8{txt},{res}    163{txt}){col 67}= {res}      0.82
{txt}{col 49}Prob > F{col 67}= {res}    0.5849
{txt}{col 49}R-squared{col 67}= {res}    0.1631
{txt}{col 49}Adj R-squared{col 67}= {res}    0.0450
{txt}{col 49}Root MSE{col 67}= {res}    0.0535

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}e_mortrat~05{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2}-.0102805{col 26}{space 2} .0079077{col 37}{space 1}   -1.30{col 46}{space 3}0.195{col 54}{space 4}-.0258953{col 67}{space 3} .0053342
{txt}b_mortrat~05 {c |}{col 14}{res}{space 2} .0712443{col 26}{space 2} .0625629{col 37}{space 1}    1.14{col 46}{space 3}0.256{col 54}{space 4} -.052294{col 67}{space 3} .1947826
{txt}c_tf~_hc_hc2 {c |}{col 14}{res}{space 2} .0049443{col 26}{space 2} .0115866{col 37}{space 1}    0.43{col 46}{space 3}0.670{col 54}{space 4} -.017935{col 67}{space 3} .0278236
{txt}c_tfull_hc~l {c |}{col 14}{res}{space 2} .0021414{col 26}{space 2} .0116084{col 37}{space 1}    0.18{col 46}{space 3}0.854{col 54}{space 4}-.0207808{col 67}{space 3} .0250636
{txt}c_tfull_hc~s {c |}{col 14}{res}{space 2}-.0060544{col 26}{space 2} .0168002{col 37}{space 1}   -0.36{col 46}{space 3}0.719{col 54}{space 4}-.0392284{col 67}{space 3} .0271197
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2}-.0366629{col 26}{space 2} .0456674{col 37}{space 1}   -0.80{col 46}{space 3}0.423{col 54}{space 4}-.1268389{col 67}{space 3}  .053513
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2} -.008413{col 26}{space 2} .0053887{col 37}{space 1}   -1.56{col 46}{space 3}0.120{col 54}{space 4}-.0190536{col 67}{space 3} .0022277
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2} .0133283{col 26}{space 2} .0175399{col 37}{space 1}    0.76{col 46}{space 3}0.448{col 54}{space 4}-.0213064{col 67}{space 3}  .047963
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} .0606044{col 26}{space 2} .0062373{col 37}{space 1}    9.72{col 46}{space 3}0.000{col 54}{space 4} .0482881{col 67}{space 3} .0729207
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull = .005{p_end}

{txt}       F(  1,   163) ={res}    3.73
{txt}{col 13}Prob > F ={res}    0.0550

{p 0 7}{space 1}{text:( 1)}{space 1} treatfull = -.005{p_end}

{txt}       F(  1,   163) ={res}    0.45
{txt}{col 13}Prob > F ={res}    0.5052

{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}       187
{txt}{col 49}F({res}   8{txt},{res}    163{txt}){col 67}= {res}      0.82
{txt}{col 49}Prob > F{col 67}= {res}    0.5849
{txt}{col 49}R-squared{col 67}= {res}    0.1631
{txt}{col 49}Adj R-squared{col 67}= {res}    0.0450
{txt}{col 49}Root MSE{col 67}= {res}    0.0535

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}e_mortrat~05{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2}-.0102805{col 26}{space 2} .0079077{col 37}{space 1}   -1.30{col 46}{space 3}0.195{col 54}{space 4}-.0258953{col 67}{space 3} .0053342
{txt}b_mortrat~05 {c |}{col 14}{res}{space 2} .0712443{col 26}{space 2} .0625629{col 37}{space 1}    1.14{col 46}{space 3}0.256{col 54}{space 4} -.052294{col 67}{space 3} .1947826
{txt}c_tf~_hc_hc2 {c |}{col 14}{res}{space 2} .0049443{col 26}{space 2} .0115866{col 37}{space 1}    0.43{col 46}{space 3}0.670{col 54}{space 4} -.017935{col 67}{space 3} .0278236
{txt}c_tfull_hc~l {c |}{col 14}{res}{space 2} .0021414{col 26}{space 2} .0116084{col 37}{space 1}    0.18{col 46}{space 3}0.854{col 54}{space 4}-.0207808{col 67}{space 3} .0250636
{txt}c_tfull_hc~s {c |}{col 14}{res}{space 2}-.0060544{col 26}{space 2} .0168002{col 37}{space 1}   -0.36{col 46}{space 3}0.719{col 54}{space 4}-.0392284{col 67}{space 3} .0271197
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2}-.0366629{col 26}{space 2} .0456674{col 37}{space 1}   -0.80{col 46}{space 3}0.423{col 54}{space 4}-.1268389{col 67}{space 3}  .053513
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2} -.008413{col 26}{space 2} .0053887{col 37}{space 1}   -1.56{col 46}{space 3}0.120{col 54}{space 4}-.0190536{col 67}{space 3} .0022277
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2} .0133283{col 26}{space 2} .0175399{col 37}{space 1}    0.76{col 46}{space 3}0.448{col 54}{space 4}-.0213064{col 67}{space 3}  .047963
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} .0606044{col 26}{space 2} .0062373{col 37}{space 1}    9.72{col 46}{space 3}0.000{col 54}{space 4} .0482881{col 67}{space 3} .0729207
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull = .006{p_end}

{txt}       F(  1,   163) ={res}    4.24
{txt}{col 13}Prob > F ={res}    0.0411

{p 0 7}{space 1}{text:( 1)}{space 1} treatfull = -.006{p_end}

{txt}       F(  1,   163) ={res}    0.29
{txt}{col 13}Prob > F ={res}    0.5890

{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}       187
{txt}{col 49}F({res}   8{txt},{res}    163{txt}){col 67}= {res}      0.82
{txt}{col 49}Prob > F{col 67}= {res}    0.5849
{txt}{col 49}R-squared{col 67}= {res}    0.1631
{txt}{col 49}Adj R-squared{col 67}= {res}    0.0450
{txt}{col 49}Root MSE{col 67}= {res}    0.0535

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}e_mortrat~05{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2}-.0102805{col 26}{space 2} .0079077{col 37}{space 1}   -1.30{col 46}{space 3}0.195{col 54}{space 4}-.0258953{col 67}{space 3} .0053342
{txt}b_mortrat~05 {c |}{col 14}{res}{space 2} .0712443{col 26}{space 2} .0625629{col 37}{space 1}    1.14{col 46}{space 3}0.256{col 54}{space 4} -.052294{col 67}{space 3} .1947826
{txt}c_tf~_hc_hc2 {c |}{col 14}{res}{space 2} .0049443{col 26}{space 2} .0115866{col 37}{space 1}    0.43{col 46}{space 3}0.670{col 54}{space 4} -.017935{col 67}{space 3} .0278236
{txt}c_tfull_hc~l {c |}{col 14}{res}{space 2} .0021414{col 26}{space 2} .0116084{col 37}{space 1}    0.18{col 46}{space 3}0.854{col 54}{space 4}-.0207808{col 67}{space 3} .0250636
{txt}c_tfull_hc~s {c |}{col 14}{res}{space 2}-.0060544{col 26}{space 2} .0168002{col 37}{space 1}   -0.36{col 46}{space 3}0.719{col 54}{space 4}-.0392284{col 67}{space 3} .0271197
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2}-.0366629{col 26}{space 2} .0456674{col 37}{space 1}   -0.80{col 46}{space 3}0.423{col 54}{space 4}-.1268389{col 67}{space 3}  .053513
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2} -.008413{col 26}{space 2} .0053887{col 37}{space 1}   -1.56{col 46}{space 3}0.120{col 54}{space 4}-.0190536{col 67}{space 3} .0022277
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2} .0133283{col 26}{space 2} .0175399{col 37}{space 1}    0.76{col 46}{space 3}0.448{col 54}{space 4}-.0213064{col 67}{space 3}  .047963
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} .0606044{col 26}{space 2} .0062373{col 37}{space 1}    9.72{col 46}{space 3}0.000{col 54}{space 4} .0482881{col 67}{space 3} .0729207
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull = .007{p_end}

{txt}       F(  1,   163) ={res}    4.78
{txt}{col 13}Prob > F ={res}    0.0303

{p 0 7}{space 1}{text:( 1)}{space 1} treatfull = -.007{p_end}

{txt}       F(  1,   163) ={res}    0.17
{txt}{col 13}Prob > F ={res}    0.6788

{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}       187
{txt}{col 49}F({res}   8{txt},{res}    163{txt}){col 67}= {res}      0.82
{txt}{col 49}Prob > F{col 67}= {res}    0.5849
{txt}{col 49}R-squared{col 67}= {res}    0.1631
{txt}{col 49}Adj R-squared{col 67}= {res}    0.0450
{txt}{col 49}Root MSE{col 67}= {res}    0.0535

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}e_mortrat~05{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2}-.0102805{col 26}{space 2} .0079077{col 37}{space 1}   -1.30{col 46}{space 3}0.195{col 54}{space 4}-.0258953{col 67}{space 3} .0053342
{txt}b_mortrat~05 {c |}{col 14}{res}{space 2} .0712443{col 26}{space 2} .0625629{col 37}{space 1}    1.14{col 46}{space 3}0.256{col 54}{space 4} -.052294{col 67}{space 3} .1947826
{txt}c_tf~_hc_hc2 {c |}{col 14}{res}{space 2} .0049443{col 26}{space 2} .0115866{col 37}{space 1}    0.43{col 46}{space 3}0.670{col 54}{space 4} -.017935{col 67}{space 3} .0278236
{txt}c_tfull_hc~l {c |}{col 14}{res}{space 2} .0021414{col 26}{space 2} .0116084{col 37}{space 1}    0.18{col 46}{space 3}0.854{col 54}{space 4}-.0207808{col 67}{space 3} .0250636
{txt}c_tfull_hc~s {c |}{col 14}{res}{space 2}-.0060544{col 26}{space 2} .0168002{col 37}{space 1}   -0.36{col 46}{space 3}0.719{col 54}{space 4}-.0392284{col 67}{space 3} .0271197
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2}-.0366629{col 26}{space 2} .0456674{col 37}{space 1}   -0.80{col 46}{space 3}0.423{col 54}{space 4}-.1268389{col 67}{space 3}  .053513
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2} -.008413{col 26}{space 2} .0053887{col 37}{space 1}   -1.56{col 46}{space 3}0.120{col 54}{space 4}-.0190536{col 67}{space 3} .0022277
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2} .0133283{col 26}{space 2} .0175399{col 37}{space 1}    0.76{col 46}{space 3}0.448{col 54}{space 4}-.0213064{col 67}{space 3}  .047963
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} .0606044{col 26}{space 2} .0062373{col 37}{space 1}    9.72{col 46}{space 3}0.000{col 54}{space 4} .0482881{col 67}{space 3} .0729207
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull = .008{p_end}

{txt}       F(  1,   163) ={res}    5.34
{txt}{col 13}Prob > F ={res}    0.0220

{p 0 7}{space 1}{text:( 1)}{space 1} treatfull = -.008{p_end}

{txt}       F(  1,   163) ={res}    0.08
{txt}{col 13}Prob > F ={res}    0.7734

{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}       187
{txt}{col 49}F({res}   8{txt},{res}    163{txt}){col 67}= {res}      0.82
{txt}{col 49}Prob > F{col 67}= {res}    0.5849
{txt}{col 49}R-squared{col 67}= {res}    0.1631
{txt}{col 49}Adj R-squared{col 67}= {res}    0.0450
{txt}{col 49}Root MSE{col 67}= {res}    0.0535

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}e_mortrat~05{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2}-.0102805{col 26}{space 2} .0079077{col 37}{space 1}   -1.30{col 46}{space 3}0.195{col 54}{space 4}-.0258953{col 67}{space 3} .0053342
{txt}b_mortrat~05 {c |}{col 14}{res}{space 2} .0712443{col 26}{space 2} .0625629{col 37}{space 1}    1.14{col 46}{space 3}0.256{col 54}{space 4} -.052294{col 67}{space 3} .1947826
{txt}c_tf~_hc_hc2 {c |}{col 14}{res}{space 2} .0049443{col 26}{space 2} .0115866{col 37}{space 1}    0.43{col 46}{space 3}0.670{col 54}{space 4} -.017935{col 67}{space 3} .0278236
{txt}c_tfull_hc~l {c |}{col 14}{res}{space 2} .0021414{col 26}{space 2} .0116084{col 37}{space 1}    0.18{col 46}{space 3}0.854{col 54}{space 4}-.0207808{col 67}{space 3} .0250636
{txt}c_tfull_hc~s {c |}{col 14}{res}{space 2}-.0060544{col 26}{space 2} .0168002{col 37}{space 1}   -0.36{col 46}{space 3}0.719{col 54}{space 4}-.0392284{col 67}{space 3} .0271197
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2}-.0366629{col 26}{space 2} .0456674{col 37}{space 1}   -0.80{col 46}{space 3}0.423{col 54}{space 4}-.1268389{col 67}{space 3}  .053513
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2} -.008413{col 26}{space 2} .0053887{col 37}{space 1}   -1.56{col 46}{space 3}0.120{col 54}{space 4}-.0190536{col 67}{space 3} .0022277
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2} .0133283{col 26}{space 2} .0175399{col 37}{space 1}    0.76{col 46}{space 3}0.448{col 54}{space 4}-.0213064{col 67}{space 3}  .047963
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} .0606044{col 26}{space 2} .0062373{col 37}{space 1}    9.72{col 46}{space 3}0.000{col 54}{space 4} .0482881{col 67}{space 3} .0729207
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull = .009{p_end}

{txt}       F(  1,   163) ={res}    5.94
{txt}{col 13}Prob > F ={res}    0.0158

{p 0 7}{space 1}{text:( 1)}{space 1} treatfull = -.009{p_end}

{txt}       F(  1,   163) ={res}    0.03
{txt}{col 13}Prob > F ={res}    0.8716

{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}       187
{txt}{col 49}F({res}   8{txt},{res}    163{txt}){col 67}= {res}      0.82
{txt}{col 49}Prob > F{col 67}= {res}    0.5849
{txt}{col 49}R-squared{col 67}= {res}    0.1631
{txt}{col 49}Adj R-squared{col 67}= {res}    0.0450
{txt}{col 49}Root MSE{col 67}= {res}    0.0535

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}e_mortrat~05{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2}-.0102805{col 26}{space 2} .0079077{col 37}{space 1}   -1.30{col 46}{space 3}0.195{col 54}{space 4}-.0258953{col 67}{space 3} .0053342
{txt}b_mortrat~05 {c |}{col 14}{res}{space 2} .0712443{col 26}{space 2} .0625629{col 37}{space 1}    1.14{col 46}{space 3}0.256{col 54}{space 4} -.052294{col 67}{space 3} .1947826
{txt}c_tf~_hc_hc2 {c |}{col 14}{res}{space 2} .0049443{col 26}{space 2} .0115866{col 37}{space 1}    0.43{col 46}{space 3}0.670{col 54}{space 4} -.017935{col 67}{space 3} .0278236
{txt}c_tfull_hc~l {c |}{col 14}{res}{space 2} .0021414{col 26}{space 2} .0116084{col 37}{space 1}    0.18{col 46}{space 3}0.854{col 54}{space 4}-.0207808{col 67}{space 3} .0250636
{txt}c_tfull_hc~s {c |}{col 14}{res}{space 2}-.0060544{col 26}{space 2} .0168002{col 37}{space 1}   -0.36{col 46}{space 3}0.719{col 54}{space 4}-.0392284{col 67}{space 3} .0271197
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2}-.0366629{col 26}{space 2} .0456674{col 37}{space 1}   -0.80{col 46}{space 3}0.423{col 54}{space 4}-.1268389{col 67}{space 3}  .053513
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2} -.008413{col 26}{space 2} .0053887{col 37}{space 1}   -1.56{col 46}{space 3}0.120{col 54}{space 4}-.0190536{col 67}{space 3} .0022277
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2} .0133283{col 26}{space 2} .0175399{col 37}{space 1}    0.76{col 46}{space 3}0.448{col 54}{space 4}-.0213064{col 67}{space 3}  .047963
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} .0606044{col 26}{space 2} .0062373{col 37}{space 1}    9.72{col 46}{space 3}0.000{col 54}{space 4} .0482881{col 67}{space 3} .0729207
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull = .01{p_end}

{txt}       F(  1,   163) ={res}    6.58
{txt}{col 13}Prob > F ={res}    0.0112

{p 0 7}{space 1}{text:( 1)}{space 1} treatfull = -.01{p_end}

{txt}       F(  1,   163) ={res}    0.00
{txt}{col 13}Prob > F ={res}    0.9717

{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}       187
{txt}{col 49}F({res}   8{txt},{res}    163{txt}){col 67}= {res}      0.82
{txt}{col 49}Prob > F{col 67}= {res}    0.5849
{txt}{col 49}R-squared{col 67}= {res}    0.1631
{txt}{col 49}Adj R-squared{col 67}= {res}    0.0450
{txt}{col 49}Root MSE{col 67}= {res}    0.0535

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}e_mortrat~05{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2}-.0102805{col 26}{space 2} .0079077{col 37}{space 1}   -1.30{col 46}{space 3}0.195{col 54}{space 4}-.0258953{col 67}{space 3} .0053342
{txt}b_mortrat~05 {c |}{col 14}{res}{space 2} .0712443{col 26}{space 2} .0625629{col 37}{space 1}    1.14{col 46}{space 3}0.256{col 54}{space 4} -.052294{col 67}{space 3} .1947826
{txt}c_tf~_hc_hc2 {c |}{col 14}{res}{space 2} .0049443{col 26}{space 2} .0115866{col 37}{space 1}    0.43{col 46}{space 3}0.670{col 54}{space 4} -.017935{col 67}{space 3} .0278236
{txt}c_tfull_hc~l {c |}{col 14}{res}{space 2} .0021414{col 26}{space 2} .0116084{col 37}{space 1}    0.18{col 46}{space 3}0.854{col 54}{space 4}-.0207808{col 67}{space 3} .0250636
{txt}c_tfull_hc~s {c |}{col 14}{res}{space 2}-.0060544{col 26}{space 2} .0168002{col 37}{space 1}   -0.36{col 46}{space 3}0.719{col 54}{space 4}-.0392284{col 67}{space 3} .0271197
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2}-.0366629{col 26}{space 2} .0456674{col 37}{space 1}   -0.80{col 46}{space 3}0.423{col 54}{space 4}-.1268389{col 67}{space 3}  .053513
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2} -.008413{col 26}{space 2} .0053887{col 37}{space 1}   -1.56{col 46}{space 3}0.120{col 54}{space 4}-.0190536{col 67}{space 3} .0022277
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2} .0133283{col 26}{space 2} .0175399{col 37}{space 1}    0.76{col 46}{space 3}0.448{col 54}{space 4}-.0213064{col 67}{space 3}  .047963
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} .0606044{col 26}{space 2} .0062373{col 37}{space 1}    9.72{col 46}{space 3}0.000{col 54}{space 4} .0482881{col 67}{space 3} .0729207
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull = .011{p_end}

{txt}       F(  1,   163) ={res}    7.24
{txt}{col 13}Prob > F ={res}    0.0079

{p 0 7}{space 1}{text:( 1)}{space 1} treatfull = -.011{p_end}

{txt}       F(  1,   163) ={res}    0.01
{txt}{col 13}Prob > F ={res}    0.9276

{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}       187
{txt}{col 49}F({res}   8{txt},{res}    163{txt}){col 67}= {res}      0.82
{txt}{col 49}Prob > F{col 67}= {res}    0.5849
{txt}{col 49}R-squared{col 67}= {res}    0.1631
{txt}{col 49}Adj R-squared{col 67}= {res}    0.0450
{txt}{col 49}Root MSE{col 67}= {res}    0.0535

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}e_mortrat~05{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2}-.0102805{col 26}{space 2} .0079077{col 37}{space 1}   -1.30{col 46}{space 3}0.195{col 54}{space 4}-.0258953{col 67}{space 3} .0053342
{txt}b_mortrat~05 {c |}{col 14}{res}{space 2} .0712443{col 26}{space 2} .0625629{col 37}{space 1}    1.14{col 46}{space 3}0.256{col 54}{space 4} -.052294{col 67}{space 3} .1947826
{txt}c_tf~_hc_hc2 {c |}{col 14}{res}{space 2} .0049443{col 26}{space 2} .0115866{col 37}{space 1}    0.43{col 46}{space 3}0.670{col 54}{space 4} -.017935{col 67}{space 3} .0278236
{txt}c_tfull_hc~l {c |}{col 14}{res}{space 2} .0021414{col 26}{space 2} .0116084{col 37}{space 1}    0.18{col 46}{space 3}0.854{col 54}{space 4}-.0207808{col 67}{space 3} .0250636
{txt}c_tfull_hc~s {c |}{col 14}{res}{space 2}-.0060544{col 26}{space 2} .0168002{col 37}{space 1}   -0.36{col 46}{space 3}0.719{col 54}{space 4}-.0392284{col 67}{space 3} .0271197
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2}-.0366629{col 26}{space 2} .0456674{col 37}{space 1}   -0.80{col 46}{space 3}0.423{col 54}{space 4}-.1268389{col 67}{space 3}  .053513
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2} -.008413{col 26}{space 2} .0053887{col 37}{space 1}   -1.56{col 46}{space 3}0.120{col 54}{space 4}-.0190536{col 67}{space 3} .0022277
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2} .0133283{col 26}{space 2} .0175399{col 37}{space 1}    0.76{col 46}{space 3}0.448{col 54}{space 4}-.0213064{col 67}{space 3}  .047963
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} .0606044{col 26}{space 2} .0062373{col 37}{space 1}    9.72{col 46}{space 3}0.000{col 54}{space 4} .0482881{col 67}{space 3} .0729207
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull = .012{p_end}

{txt}       F(  1,   163) ={res}    7.94
{txt}{col 13}Prob > F ={res}    0.0054

{p 0 7}{space 1}{text:( 1)}{space 1} treatfull = -.012{p_end}

{txt}       F(  1,   163) ={res}    0.05
{txt}{col 13}Prob > F ={res}    0.8281

{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}       187
{txt}{col 49}F({res}   8{txt},{res}    163{txt}){col 67}= {res}      0.82
{txt}{col 49}Prob > F{col 67}= {res}    0.5849
{txt}{col 49}R-squared{col 67}= {res}    0.1631
{txt}{col 49}Adj R-squared{col 67}= {res}    0.0450
{txt}{col 49}Root MSE{col 67}= {res}    0.0535

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}e_mortrat~05{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2}-.0102805{col 26}{space 2} .0079077{col 37}{space 1}   -1.30{col 46}{space 3}0.195{col 54}{space 4}-.0258953{col 67}{space 3} .0053342
{txt}b_mortrat~05 {c |}{col 14}{res}{space 2} .0712443{col 26}{space 2} .0625629{col 37}{space 1}    1.14{col 46}{space 3}0.256{col 54}{space 4} -.052294{col 67}{space 3} .1947826
{txt}c_tf~_hc_hc2 {c |}{col 14}{res}{space 2} .0049443{col 26}{space 2} .0115866{col 37}{space 1}    0.43{col 46}{space 3}0.670{col 54}{space 4} -.017935{col 67}{space 3} .0278236
{txt}c_tfull_hc~l {c |}{col 14}{res}{space 2} .0021414{col 26}{space 2} .0116084{col 37}{space 1}    0.18{col 46}{space 3}0.854{col 54}{space 4}-.0207808{col 67}{space 3} .0250636
{txt}c_tfull_hc~s {c |}{col 14}{res}{space 2}-.0060544{col 26}{space 2} .0168002{col 37}{space 1}   -0.36{col 46}{space 3}0.719{col 54}{space 4}-.0392284{col 67}{space 3} .0271197
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2}-.0366629{col 26}{space 2} .0456674{col 37}{space 1}   -0.80{col 46}{space 3}0.423{col 54}{space 4}-.1268389{col 67}{space 3}  .053513
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2} -.008413{col 26}{space 2} .0053887{col 37}{space 1}   -1.56{col 46}{space 3}0.120{col 54}{space 4}-.0190536{col 67}{space 3} .0022277
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2} .0133283{col 26}{space 2} .0175399{col 37}{space 1}    0.76{col 46}{space 3}0.448{col 54}{space 4}-.0213064{col 67}{space 3}  .047963
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} .0606044{col 26}{space 2} .0062373{col 37}{space 1}    9.72{col 46}{space 3}0.000{col 54}{space 4} .0482881{col 67}{space 3} .0729207
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull = .013{p_end}

{txt}       F(  1,   163) ={res}    8.67
{txt}{col 13}Prob > F ={res}    0.0037

{p 0 7}{space 1}{text:( 1)}{space 1} treatfull = -.013{p_end}

{txt}       F(  1,   163) ={res}    0.12
{txt}{col 13}Prob > F ={res}    0.7314

{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}       187
{txt}{col 49}F({res}   8{txt},{res}    163{txt}){col 67}= {res}      0.82
{txt}{col 49}Prob > F{col 67}= {res}    0.5849
{txt}{col 49}R-squared{col 67}= {res}    0.1631
{txt}{col 49}Adj R-squared{col 67}= {res}    0.0450
{txt}{col 49}Root MSE{col 67}= {res}    0.0535

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}e_mortrat~05{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2}-.0102805{col 26}{space 2} .0079077{col 37}{space 1}   -1.30{col 46}{space 3}0.195{col 54}{space 4}-.0258953{col 67}{space 3} .0053342
{txt}b_mortrat~05 {c |}{col 14}{res}{space 2} .0712443{col 26}{space 2} .0625629{col 37}{space 1}    1.14{col 46}{space 3}0.256{col 54}{space 4} -.052294{col 67}{space 3} .1947826
{txt}c_tf~_hc_hc2 {c |}{col 14}{res}{space 2} .0049443{col 26}{space 2} .0115866{col 37}{space 1}    0.43{col 46}{space 3}0.670{col 54}{space 4} -.017935{col 67}{space 3} .0278236
{txt}c_tfull_hc~l {c |}{col 14}{res}{space 2} .0021414{col 26}{space 2} .0116084{col 37}{space 1}    0.18{col 46}{space 3}0.854{col 54}{space 4}-.0207808{col 67}{space 3} .0250636
{txt}c_tfull_hc~s {c |}{col 14}{res}{space 2}-.0060544{col 26}{space 2} .0168002{col 37}{space 1}   -0.36{col 46}{space 3}0.719{col 54}{space 4}-.0392284{col 67}{space 3} .0271197
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2}-.0366629{col 26}{space 2} .0456674{col 37}{space 1}   -0.80{col 46}{space 3}0.423{col 54}{space 4}-.1268389{col 67}{space 3}  .053513
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2} -.008413{col 26}{space 2} .0053887{col 37}{space 1}   -1.56{col 46}{space 3}0.120{col 54}{space 4}-.0190536{col 67}{space 3} .0022277
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2} .0133283{col 26}{space 2} .0175399{col 37}{space 1}    0.76{col 46}{space 3}0.448{col 54}{space 4}-.0213064{col 67}{space 3}  .047963
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} .0606044{col 26}{space 2} .0062373{col 37}{space 1}    9.72{col 46}{space 3}0.000{col 54}{space 4} .0482881{col 67}{space 3} .0729207
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull = .014{p_end}

{txt}       F(  1,   163) ={res}    9.43
{txt}{col 13}Prob > F ={res}    0.0025

{p 0 7}{space 1}{text:( 1)}{space 1} treatfull = -.014{p_end}

{txt}       F(  1,   163) ={res}    0.22
{txt}{col 13}Prob > F ={res}    0.6387

{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}       187
{txt}{col 49}F({res}   8{txt},{res}    163{txt}){col 67}= {res}      0.82
{txt}{col 49}Prob > F{col 67}= {res}    0.5849
{txt}{col 49}R-squared{col 67}= {res}    0.1631
{txt}{col 49}Adj R-squared{col 67}= {res}    0.0450
{txt}{col 49}Root MSE{col 67}= {res}    0.0535

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}e_mortrat~05{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2}-.0102805{col 26}{space 2} .0079077{col 37}{space 1}   -1.30{col 46}{space 3}0.195{col 54}{space 4}-.0258953{col 67}{space 3} .0053342
{txt}b_mortrat~05 {c |}{col 14}{res}{space 2} .0712443{col 26}{space 2} .0625629{col 37}{space 1}    1.14{col 46}{space 3}0.256{col 54}{space 4} -.052294{col 67}{space 3} .1947826
{txt}c_tf~_hc_hc2 {c |}{col 14}{res}{space 2} .0049443{col 26}{space 2} .0115866{col 37}{space 1}    0.43{col 46}{space 3}0.670{col 54}{space 4} -.017935{col 67}{space 3} .0278236
{txt}c_tfull_hc~l {c |}{col 14}{res}{space 2} .0021414{col 26}{space 2} .0116084{col 37}{space 1}    0.18{col 46}{space 3}0.854{col 54}{space 4}-.0207808{col 67}{space 3} .0250636
{txt}c_tfull_hc~s {c |}{col 14}{res}{space 2}-.0060544{col 26}{space 2} .0168002{col 37}{space 1}   -0.36{col 46}{space 3}0.719{col 54}{space 4}-.0392284{col 67}{space 3} .0271197
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2}-.0366629{col 26}{space 2} .0456674{col 37}{space 1}   -0.80{col 46}{space 3}0.423{col 54}{space 4}-.1268389{col 67}{space 3}  .053513
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2} -.008413{col 26}{space 2} .0053887{col 37}{space 1}   -1.56{col 46}{space 3}0.120{col 54}{space 4}-.0190536{col 67}{space 3} .0022277
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2} .0133283{col 26}{space 2} .0175399{col 37}{space 1}    0.76{col 46}{space 3}0.448{col 54}{space 4}-.0213064{col 67}{space 3}  .047963
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} .0606044{col 26}{space 2} .0062373{col 37}{space 1}    9.72{col 46}{space 3}0.000{col 54}{space 4} .0482881{col 67}{space 3} .0729207
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull = .015{p_end}

{txt}       F(  1,   163) ={res}   10.22
{txt}{col 13}Prob > F ={res}    0.0017

{p 0 7}{space 1}{text:( 1)}{space 1} treatfull = -.015{p_end}

{txt}       F(  1,   163) ={res}    0.36
{txt}{col 13}Prob > F ={res}    0.5515

{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}       187
{txt}{col 49}F({res}   8{txt},{res}    163{txt}){col 67}= {res}      0.82
{txt}{col 49}Prob > F{col 67}= {res}    0.5849
{txt}{col 49}R-squared{col 67}= {res}    0.1631
{txt}{col 49}Adj R-squared{col 67}= {res}    0.0450
{txt}{col 49}Root MSE{col 67}= {res}    0.0535

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}e_mortrat~05{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2}-.0102805{col 26}{space 2} .0079077{col 37}{space 1}   -1.30{col 46}{space 3}0.195{col 54}{space 4}-.0258953{col 67}{space 3} .0053342
{txt}b_mortrat~05 {c |}{col 14}{res}{space 2} .0712443{col 26}{space 2} .0625629{col 37}{space 1}    1.14{col 46}{space 3}0.256{col 54}{space 4} -.052294{col 67}{space 3} .1947826
{txt}c_tf~_hc_hc2 {c |}{col 14}{res}{space 2} .0049443{col 26}{space 2} .0115866{col 37}{space 1}    0.43{col 46}{space 3}0.670{col 54}{space 4} -.017935{col 67}{space 3} .0278236
{txt}c_tfull_hc~l {c |}{col 14}{res}{space 2} .0021414{col 26}{space 2} .0116084{col 37}{space 1}    0.18{col 46}{space 3}0.854{col 54}{space 4}-.0207808{col 67}{space 3} .0250636
{txt}c_tfull_hc~s {c |}{col 14}{res}{space 2}-.0060544{col 26}{space 2} .0168002{col 37}{space 1}   -0.36{col 46}{space 3}0.719{col 54}{space 4}-.0392284{col 67}{space 3} .0271197
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2}-.0366629{col 26}{space 2} .0456674{col 37}{space 1}   -0.80{col 46}{space 3}0.423{col 54}{space 4}-.1268389{col 67}{space 3}  .053513
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2} -.008413{col 26}{space 2} .0053887{col 37}{space 1}   -1.56{col 46}{space 3}0.120{col 54}{space 4}-.0190536{col 67}{space 3} .0022277
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2} .0133283{col 26}{space 2} .0175399{col 37}{space 1}    0.76{col 46}{space 3}0.448{col 54}{space 4}-.0213064{col 67}{space 3}  .047963
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} .0606044{col 26}{space 2} .0062373{col 37}{space 1}    9.72{col 46}{space 3}0.000{col 54}{space 4} .0482881{col 67}{space 3} .0729207
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull = .016{p_end}

{txt}       F(  1,   163) ={res}   11.05
{txt}{col 13}Prob > F ={res}    0.0011

{p 0 7}{space 1}{text:( 1)}{space 1} treatfull = -.016{p_end}

{txt}       F(  1,   163) ={res}    0.52
{txt}{col 13}Prob > F ={res}    0.4705

{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}       187
{txt}{col 49}F({res}   8{txt},{res}    163{txt}){col 67}= {res}      0.82
{txt}{col 49}Prob > F{col 67}= {res}    0.5849
{txt}{col 49}R-squared{col 67}= {res}    0.1631
{txt}{col 49}Adj R-squared{col 67}= {res}    0.0450
{txt}{col 49}Root MSE{col 67}= {res}    0.0535

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}e_mortrat~05{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2}-.0102805{col 26}{space 2} .0079077{col 37}{space 1}   -1.30{col 46}{space 3}0.195{col 54}{space 4}-.0258953{col 67}{space 3} .0053342
{txt}b_mortrat~05 {c |}{col 14}{res}{space 2} .0712443{col 26}{space 2} .0625629{col 37}{space 1}    1.14{col 46}{space 3}0.256{col 54}{space 4} -.052294{col 67}{space 3} .1947826
{txt}c_tf~_hc_hc2 {c |}{col 14}{res}{space 2} .0049443{col 26}{space 2} .0115866{col 37}{space 1}    0.43{col 46}{space 3}0.670{col 54}{space 4} -.017935{col 67}{space 3} .0278236
{txt}c_tfull_hc~l {c |}{col 14}{res}{space 2} .0021414{col 26}{space 2} .0116084{col 37}{space 1}    0.18{col 46}{space 3}0.854{col 54}{space 4}-.0207808{col 67}{space 3} .0250636
{txt}c_tfull_hc~s {c |}{col 14}{res}{space 2}-.0060544{col 26}{space 2} .0168002{col 37}{space 1}   -0.36{col 46}{space 3}0.719{col 54}{space 4}-.0392284{col 67}{space 3} .0271197
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2}-.0366629{col 26}{space 2} .0456674{col 37}{space 1}   -0.80{col 46}{space 3}0.423{col 54}{space 4}-.1268389{col 67}{space 3}  .053513
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2} -.008413{col 26}{space 2} .0053887{col 37}{space 1}   -1.56{col 46}{space 3}0.120{col 54}{space 4}-.0190536{col 67}{space 3} .0022277
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2} .0133283{col 26}{space 2} .0175399{col 37}{space 1}    0.76{col 46}{space 3}0.448{col 54}{space 4}-.0213064{col 67}{space 3}  .047963
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} .0606044{col 26}{space 2} .0062373{col 37}{space 1}    9.72{col 46}{space 3}0.000{col 54}{space 4} .0482881{col 67}{space 3} .0729207
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull = .017{p_end}

{txt}       F(  1,   163) ={res}   11.90
{txt}{col 13}Prob > F ={res}    0.0007

{p 0 7}{space 1}{text:( 1)}{space 1} treatfull = -.017{p_end}

{txt}       F(  1,   163) ={res}    0.72
{txt}{col 13}Prob > F ={res}    0.3967

{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}       187
{txt}{col 49}F({res}   8{txt},{res}    163{txt}){col 67}= {res}      0.82
{txt}{col 49}Prob > F{col 67}= {res}    0.5849
{txt}{col 49}R-squared{col 67}= {res}    0.1631
{txt}{col 49}Adj R-squared{col 67}= {res}    0.0450
{txt}{col 49}Root MSE{col 67}= {res}    0.0535

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}e_mortrat~05{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2}-.0102805{col 26}{space 2} .0079077{col 37}{space 1}   -1.30{col 46}{space 3}0.195{col 54}{space 4}-.0258953{col 67}{space 3} .0053342
{txt}b_mortrat~05 {c |}{col 14}{res}{space 2} .0712443{col 26}{space 2} .0625629{col 37}{space 1}    1.14{col 46}{space 3}0.256{col 54}{space 4} -.052294{col 67}{space 3} .1947826
{txt}c_tf~_hc_hc2 {c |}{col 14}{res}{space 2} .0049443{col 26}{space 2} .0115866{col 37}{space 1}    0.43{col 46}{space 3}0.670{col 54}{space 4} -.017935{col 67}{space 3} .0278236
{txt}c_tfull_hc~l {c |}{col 14}{res}{space 2} .0021414{col 26}{space 2} .0116084{col 37}{space 1}    0.18{col 46}{space 3}0.854{col 54}{space 4}-.0207808{col 67}{space 3} .0250636
{txt}c_tfull_hc~s {c |}{col 14}{res}{space 2}-.0060544{col 26}{space 2} .0168002{col 37}{space 1}   -0.36{col 46}{space 3}0.719{col 54}{space 4}-.0392284{col 67}{space 3} .0271197
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2}-.0366629{col 26}{space 2} .0456674{col 37}{space 1}   -0.80{col 46}{space 3}0.423{col 54}{space 4}-.1268389{col 67}{space 3}  .053513
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2} -.008413{col 26}{space 2} .0053887{col 37}{space 1}   -1.56{col 46}{space 3}0.120{col 54}{space 4}-.0190536{col 67}{space 3} .0022277
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2} .0133283{col 26}{space 2} .0175399{col 37}{space 1}    0.76{col 46}{space 3}0.448{col 54}{space 4}-.0213064{col 67}{space 3}  .047963
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} .0606044{col 26}{space 2} .0062373{col 37}{space 1}    9.72{col 46}{space 3}0.000{col 54}{space 4} .0482881{col 67}{space 3} .0729207
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull = .018{p_end}

{txt}       F(  1,   163) ={res}   12.79
{txt}{col 13}Prob > F ={res}    0.0005

{p 0 7}{space 1}{text:( 1)}{space 1} treatfull = -.018{p_end}

{txt}       F(  1,   163) ={res}    0.95
{txt}{col 13}Prob > F ={res}    0.3304

{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}       187
{txt}{col 49}F({res}   8{txt},{res}    163{txt}){col 67}= {res}      0.82
{txt}{col 49}Prob > F{col 67}= {res}    0.5849
{txt}{col 49}R-squared{col 67}= {res}    0.1631
{txt}{col 49}Adj R-squared{col 67}= {res}    0.0450
{txt}{col 49}Root MSE{col 67}= {res}    0.0535

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}e_mortrat~05{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2}-.0102805{col 26}{space 2} .0079077{col 37}{space 1}   -1.30{col 46}{space 3}0.195{col 54}{space 4}-.0258953{col 67}{space 3} .0053342
{txt}b_mortrat~05 {c |}{col 14}{res}{space 2} .0712443{col 26}{space 2} .0625629{col 37}{space 1}    1.14{col 46}{space 3}0.256{col 54}{space 4} -.052294{col 67}{space 3} .1947826
{txt}c_tf~_hc_hc2 {c |}{col 14}{res}{space 2} .0049443{col 26}{space 2} .0115866{col 37}{space 1}    0.43{col 46}{space 3}0.670{col 54}{space 4} -.017935{col 67}{space 3} .0278236
{txt}c_tfull_hc~l {c |}{col 14}{res}{space 2} .0021414{col 26}{space 2} .0116084{col 37}{space 1}    0.18{col 46}{space 3}0.854{col 54}{space 4}-.0207808{col 67}{space 3} .0250636
{txt}c_tfull_hc~s {c |}{col 14}{res}{space 2}-.0060544{col 26}{space 2} .0168002{col 37}{space 1}   -0.36{col 46}{space 3}0.719{col 54}{space 4}-.0392284{col 67}{space 3} .0271197
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2}-.0366629{col 26}{space 2} .0456674{col 37}{space 1}   -0.80{col 46}{space 3}0.423{col 54}{space 4}-.1268389{col 67}{space 3}  .053513
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2} -.008413{col 26}{space 2} .0053887{col 37}{space 1}   -1.56{col 46}{space 3}0.120{col 54}{space 4}-.0190536{col 67}{space 3} .0022277
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2} .0133283{col 26}{space 2} .0175399{col 37}{space 1}    0.76{col 46}{space 3}0.448{col 54}{space 4}-.0213064{col 67}{space 3}  .047963
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} .0606044{col 26}{space 2} .0062373{col 37}{space 1}    9.72{col 46}{space 3}0.000{col 54}{space 4} .0482881{col 67}{space 3} .0729207
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull = .019{p_end}

{txt}       F(  1,   163) ={res}   13.71
{txt}{col 13}Prob > F ={res}    0.0003

{p 0 7}{space 1}{text:( 1)}{space 1} treatfull = -.019{p_end}

{txt}       F(  1,   163) ={res}    1.22
{txt}{col 13}Prob > F ={res}    0.2718

{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}       187
{txt}{col 49}F({res}   8{txt},{res}    163{txt}){col 67}= {res}      0.82
{txt}{col 49}Prob > F{col 67}= {res}    0.5849
{txt}{col 49}R-squared{col 67}= {res}    0.1631
{txt}{col 49}Adj R-squared{col 67}= {res}    0.0450
{txt}{col 49}Root MSE{col 67}= {res}    0.0535

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}e_mortrat~05{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2}-.0102805{col 26}{space 2} .0079077{col 37}{space 1}   -1.30{col 46}{space 3}0.195{col 54}{space 4}-.0258953{col 67}{space 3} .0053342
{txt}b_mortrat~05 {c |}{col 14}{res}{space 2} .0712443{col 26}{space 2} .0625629{col 37}{space 1}    1.14{col 46}{space 3}0.256{col 54}{space 4} -.052294{col 67}{space 3} .1947826
{txt}c_tf~_hc_hc2 {c |}{col 14}{res}{space 2} .0049443{col 26}{space 2} .0115866{col 37}{space 1}    0.43{col 46}{space 3}0.670{col 54}{space 4} -.017935{col 67}{space 3} .0278236
{txt}c_tfull_hc~l {c |}{col 14}{res}{space 2} .0021414{col 26}{space 2} .0116084{col 37}{space 1}    0.18{col 46}{space 3}0.854{col 54}{space 4}-.0207808{col 67}{space 3} .0250636
{txt}c_tfull_hc~s {c |}{col 14}{res}{space 2}-.0060544{col 26}{space 2} .0168002{col 37}{space 1}   -0.36{col 46}{space 3}0.719{col 54}{space 4}-.0392284{col 67}{space 3} .0271197
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2}-.0366629{col 26}{space 2} .0456674{col 37}{space 1}   -0.80{col 46}{space 3}0.423{col 54}{space 4}-.1268389{col 67}{space 3}  .053513
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2} -.008413{col 26}{space 2} .0053887{col 37}{space 1}   -1.56{col 46}{space 3}0.120{col 54}{space 4}-.0190536{col 67}{space 3} .0022277
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2} .0133283{col 26}{space 2} .0175399{col 37}{space 1}    0.76{col 46}{space 3}0.448{col 54}{space 4}-.0213064{col 67}{space 3}  .047963
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} .0606044{col 26}{space 2} .0062373{col 37}{space 1}    9.72{col 46}{space 3}0.000{col 54}{space 4} .0482881{col 67}{space 3} .0729207
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull = .02{p_end}

{txt}       F(  1,   163) ={res}   14.66
{txt}{col 13}Prob > F ={res}    0.0002

{p 0 7}{space 1}{text:( 1)}{space 1} treatfull = -.02{p_end}

{txt}       F(  1,   163) ={res}    1.51
{txt}{col 13}Prob > F ={res}    0.2208

{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}       187
{txt}{col 49}F({res}   8{txt},{res}    163{txt}){col 67}= {res}      0.82
{txt}{col 49}Prob > F{col 67}= {res}    0.5849
{txt}{col 49}R-squared{col 67}= {res}    0.1631
{txt}{col 49}Adj R-squared{col 67}= {res}    0.0450
{txt}{col 49}Root MSE{col 67}= {res}    0.0535

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}e_mortrat~05{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2}-.0102805{col 26}{space 2} .0079077{col 37}{space 1}   -1.30{col 46}{space 3}0.195{col 54}{space 4}-.0258953{col 67}{space 3} .0053342
{txt}b_mortrat~05 {c |}{col 14}{res}{space 2} .0712443{col 26}{space 2} .0625629{col 37}{space 1}    1.14{col 46}{space 3}0.256{col 54}{space 4} -.052294{col 67}{space 3} .1947826
{txt}c_tf~_hc_hc2 {c |}{col 14}{res}{space 2} .0049443{col 26}{space 2} .0115866{col 37}{space 1}    0.43{col 46}{space 3}0.670{col 54}{space 4} -.017935{col 67}{space 3} .0278236
{txt}c_tfull_hc~l {c |}{col 14}{res}{space 2} .0021414{col 26}{space 2} .0116084{col 37}{space 1}    0.18{col 46}{space 3}0.854{col 54}{space 4}-.0207808{col 67}{space 3} .0250636
{txt}c_tfull_hc~s {c |}{col 14}{res}{space 2}-.0060544{col 26}{space 2} .0168002{col 37}{space 1}   -0.36{col 46}{space 3}0.719{col 54}{space 4}-.0392284{col 67}{space 3} .0271197
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2}-.0366629{col 26}{space 2} .0456674{col 37}{space 1}   -0.80{col 46}{space 3}0.423{col 54}{space 4}-.1268389{col 67}{space 3}  .053513
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2} -.008413{col 26}{space 2} .0053887{col 37}{space 1}   -1.56{col 46}{space 3}0.120{col 54}{space 4}-.0190536{col 67}{space 3} .0022277
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2} .0133283{col 26}{space 2} .0175399{col 37}{space 1}    0.76{col 46}{space 3}0.448{col 54}{space 4}-.0213064{col 67}{space 3}  .047963
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} .0606044{col 26}{space 2} .0062373{col 37}{space 1}    9.72{col 46}{space 3}0.000{col 54}{space 4} .0482881{col 67}{space 3} .0729207
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull = .021{p_end}

{txt}       F(  1,   163) ={res}   15.65
{txt}{col 13}Prob > F ={res}    0.0001

{p 0 7}{space 1}{text:( 1)}{space 1} treatfull = -.021{p_end}

{txt}       F(  1,   163) ={res}    1.84
{txt}{col 13}Prob > F ={res}    0.1771

{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}       187
{txt}{col 49}F({res}   8{txt},{res}    163{txt}){col 67}= {res}      0.82
{txt}{col 49}Prob > F{col 67}= {res}    0.5849
{txt}{col 49}R-squared{col 67}= {res}    0.1631
{txt}{col 49}Adj R-squared{col 67}= {res}    0.0450
{txt}{col 49}Root MSE{col 67}= {res}    0.0535

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}e_mortrat~05{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2}-.0102805{col 26}{space 2} .0079077{col 37}{space 1}   -1.30{col 46}{space 3}0.195{col 54}{space 4}-.0258953{col 67}{space 3} .0053342
{txt}b_mortrat~05 {c |}{col 14}{res}{space 2} .0712443{col 26}{space 2} .0625629{col 37}{space 1}    1.14{col 46}{space 3}0.256{col 54}{space 4} -.052294{col 67}{space 3} .1947826
{txt}c_tf~_hc_hc2 {c |}{col 14}{res}{space 2} .0049443{col 26}{space 2} .0115866{col 37}{space 1}    0.43{col 46}{space 3}0.670{col 54}{space 4} -.017935{col 67}{space 3} .0278236
{txt}c_tfull_hc~l {c |}{col 14}{res}{space 2} .0021414{col 26}{space 2} .0116084{col 37}{space 1}    0.18{col 46}{space 3}0.854{col 54}{space 4}-.0207808{col 67}{space 3} .0250636
{txt}c_tfull_hc~s {c |}{col 14}{res}{space 2}-.0060544{col 26}{space 2} .0168002{col 37}{space 1}   -0.36{col 46}{space 3}0.719{col 54}{space 4}-.0392284{col 67}{space 3} .0271197
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2}-.0366629{col 26}{space 2} .0456674{col 37}{space 1}   -0.80{col 46}{space 3}0.423{col 54}{space 4}-.1268389{col 67}{space 3}  .053513
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2} -.008413{col 26}{space 2} .0053887{col 37}{space 1}   -1.56{col 46}{space 3}0.120{col 54}{space 4}-.0190536{col 67}{space 3} .0022277
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2} .0133283{col 26}{space 2} .0175399{col 37}{space 1}    0.76{col 46}{space 3}0.448{col 54}{space 4}-.0213064{col 67}{space 3}  .047963
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} .0606044{col 26}{space 2} .0062373{col 37}{space 1}    9.72{col 46}{space 3}0.000{col 54}{space 4} .0482881{col 67}{space 3} .0729207
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull = .022{p_end}

{txt}       F(  1,   163) ={res}   16.66
{txt}{col 13}Prob > F ={res}    0.0001

{p 0 7}{space 1}{text:( 1)}{space 1} treatfull = -.022{p_end}

{txt}       F(  1,   163) ={res}    2.20
{txt}{col 13}Prob > F ={res}    0.1403

{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}       187
{txt}{col 49}F({res}   8{txt},{res}    163{txt}){col 67}= {res}      0.82
{txt}{col 49}Prob > F{col 67}= {res}    0.5849
{txt}{col 49}R-squared{col 67}= {res}    0.1631
{txt}{col 49}Adj R-squared{col 67}= {res}    0.0450
{txt}{col 49}Root MSE{col 67}= {res}    0.0535

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}e_mortrat~05{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2}-.0102805{col 26}{space 2} .0079077{col 37}{space 1}   -1.30{col 46}{space 3}0.195{col 54}{space 4}-.0258953{col 67}{space 3} .0053342
{txt}b_mortrat~05 {c |}{col 14}{res}{space 2} .0712443{col 26}{space 2} .0625629{col 37}{space 1}    1.14{col 46}{space 3}0.256{col 54}{space 4} -.052294{col 67}{space 3} .1947826
{txt}c_tf~_hc_hc2 {c |}{col 14}{res}{space 2} .0049443{col 26}{space 2} .0115866{col 37}{space 1}    0.43{col 46}{space 3}0.670{col 54}{space 4} -.017935{col 67}{space 3} .0278236
{txt}c_tfull_hc~l {c |}{col 14}{res}{space 2} .0021414{col 26}{space 2} .0116084{col 37}{space 1}    0.18{col 46}{space 3}0.854{col 54}{space 4}-.0207808{col 67}{space 3} .0250636
{txt}c_tfull_hc~s {c |}{col 14}{res}{space 2}-.0060544{col 26}{space 2} .0168002{col 37}{space 1}   -0.36{col 46}{space 3}0.719{col 54}{space 4}-.0392284{col 67}{space 3} .0271197
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2}-.0366629{col 26}{space 2} .0456674{col 37}{space 1}   -0.80{col 46}{space 3}0.423{col 54}{space 4}-.1268389{col 67}{space 3}  .053513
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2} -.008413{col 26}{space 2} .0053887{col 37}{space 1}   -1.56{col 46}{space 3}0.120{col 54}{space 4}-.0190536{col 67}{space 3} .0022277
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2} .0133283{col 26}{space 2} .0175399{col 37}{space 1}    0.76{col 46}{space 3}0.448{col 54}{space 4}-.0213064{col 67}{space 3}  .047963
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} .0606044{col 26}{space 2} .0062373{col 37}{space 1}    9.72{col 46}{space 3}0.000{col 54}{space 4} .0482881{col 67}{space 3} .0729207
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull = .023{p_end}

{txt}       F(  1,   163) ={res}   17.71
{txt}{col 13}Prob > F ={res}    0.0000

{p 0 7}{space 1}{text:( 1)}{space 1} treatfull = -.023{p_end}

{txt}       F(  1,   163) ={res}    2.59
{txt}{col 13}Prob > F ={res}    0.1097

{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}       187
{txt}{col 49}F({res}   8{txt},{res}    163{txt}){col 67}= {res}      0.82
{txt}{col 49}Prob > F{col 67}= {res}    0.5849
{txt}{col 49}R-squared{col 67}= {res}    0.1631
{txt}{col 49}Adj R-squared{col 67}= {res}    0.0450
{txt}{col 49}Root MSE{col 67}= {res}    0.0535

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}e_mortrat~05{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2}-.0102805{col 26}{space 2} .0079077{col 37}{space 1}   -1.30{col 46}{space 3}0.195{col 54}{space 4}-.0258953{col 67}{space 3} .0053342
{txt}b_mortrat~05 {c |}{col 14}{res}{space 2} .0712443{col 26}{space 2} .0625629{col 37}{space 1}    1.14{col 46}{space 3}0.256{col 54}{space 4} -.052294{col 67}{space 3} .1947826
{txt}c_tf~_hc_hc2 {c |}{col 14}{res}{space 2} .0049443{col 26}{space 2} .0115866{col 37}{space 1}    0.43{col 46}{space 3}0.670{col 54}{space 4} -.017935{col 67}{space 3} .0278236
{txt}c_tfull_hc~l {c |}{col 14}{res}{space 2} .0021414{col 26}{space 2} .0116084{col 37}{space 1}    0.18{col 46}{space 3}0.854{col 54}{space 4}-.0207808{col 67}{space 3} .0250636
{txt}c_tfull_hc~s {c |}{col 14}{res}{space 2}-.0060544{col 26}{space 2} .0168002{col 37}{space 1}   -0.36{col 46}{space 3}0.719{col 54}{space 4}-.0392284{col 67}{space 3} .0271197
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2}-.0366629{col 26}{space 2} .0456674{col 37}{space 1}   -0.80{col 46}{space 3}0.423{col 54}{space 4}-.1268389{col 67}{space 3}  .053513
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2} -.008413{col 26}{space 2} .0053887{col 37}{space 1}   -1.56{col 46}{space 3}0.120{col 54}{space 4}-.0190536{col 67}{space 3} .0022277
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2} .0133283{col 26}{space 2} .0175399{col 37}{space 1}    0.76{col 46}{space 3}0.448{col 54}{space 4}-.0213064{col 67}{space 3}  .047963
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} .0606044{col 26}{space 2} .0062373{col 37}{space 1}    9.72{col 46}{space 3}0.000{col 54}{space 4} .0482881{col 67}{space 3} .0729207
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull = .024{p_end}

{txt}       F(  1,   163) ={res}   18.79
{txt}{col 13}Prob > F ={res}    0.0000

{p 0 7}{space 1}{text:( 1)}{space 1} treatfull = -.024{p_end}

{txt}       F(  1,   163) ={res}    3.01
{txt}{col 13}Prob > F ={res}    0.0846

{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}       187
{txt}{col 49}F({res}   8{txt},{res}    163{txt}){col 67}= {res}      0.82
{txt}{col 49}Prob > F{col 67}= {res}    0.5849
{txt}{col 49}R-squared{col 67}= {res}    0.1631
{txt}{col 49}Adj R-squared{col 67}= {res}    0.0450
{txt}{col 49}Root MSE{col 67}= {res}    0.0535

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}e_mortrat~05{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2}-.0102805{col 26}{space 2} .0079077{col 37}{space 1}   -1.30{col 46}{space 3}0.195{col 54}{space 4}-.0258953{col 67}{space 3} .0053342
{txt}b_mortrat~05 {c |}{col 14}{res}{space 2} .0712443{col 26}{space 2} .0625629{col 37}{space 1}    1.14{col 46}{space 3}0.256{col 54}{space 4} -.052294{col 67}{space 3} .1947826
{txt}c_tf~_hc_hc2 {c |}{col 14}{res}{space 2} .0049443{col 26}{space 2} .0115866{col 37}{space 1}    0.43{col 46}{space 3}0.670{col 54}{space 4} -.017935{col 67}{space 3} .0278236
{txt}c_tfull_hc~l {c |}{col 14}{res}{space 2} .0021414{col 26}{space 2} .0116084{col 37}{space 1}    0.18{col 46}{space 3}0.854{col 54}{space 4}-.0207808{col 67}{space 3} .0250636
{txt}c_tfull_hc~s {c |}{col 14}{res}{space 2}-.0060544{col 26}{space 2} .0168002{col 37}{space 1}   -0.36{col 46}{space 3}0.719{col 54}{space 4}-.0392284{col 67}{space 3} .0271197
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2}-.0366629{col 26}{space 2} .0456674{col 37}{space 1}   -0.80{col 46}{space 3}0.423{col 54}{space 4}-.1268389{col 67}{space 3}  .053513
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2} -.008413{col 26}{space 2} .0053887{col 37}{space 1}   -1.56{col 46}{space 3}0.120{col 54}{space 4}-.0190536{col 67}{space 3} .0022277
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2} .0133283{col 26}{space 2} .0175399{col 37}{space 1}    0.76{col 46}{space 3}0.448{col 54}{space 4}-.0213064{col 67}{space 3}  .047963
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} .0606044{col 26}{space 2} .0062373{col 37}{space 1}    9.72{col 46}{space 3}0.000{col 54}{space 4} .0482881{col 67}{space 3} .0729207
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull = .025{p_end}

{txt}       F(  1,   163) ={res}   19.91
{txt}{col 13}Prob > F ={res}    0.0000

{p 0 7}{space 1}{text:( 1)}{space 1} treatfull = -.025{p_end}

{txt}       F(  1,   163) ={res}    3.46
{txt}{col 13}Prob > F ={res}    0.0645

{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}       187
{txt}{col 49}F({res}   8{txt},{res}    163{txt}){col 67}= {res}      0.82
{txt}{col 49}Prob > F{col 67}= {res}    0.5849
{txt}{col 49}R-squared{col 67}= {res}    0.1631
{txt}{col 49}Adj R-squared{col 67}= {res}    0.0450
{txt}{col 49}Root MSE{col 67}= {res}    0.0535

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}e_mortrat~05{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2}-.0102805{col 26}{space 2} .0079077{col 37}{space 1}   -1.30{col 46}{space 3}0.195{col 54}{space 4}-.0258953{col 67}{space 3} .0053342
{txt}b_mortrat~05 {c |}{col 14}{res}{space 2} .0712443{col 26}{space 2} .0625629{col 37}{space 1}    1.14{col 46}{space 3}0.256{col 54}{space 4} -.052294{col 67}{space 3} .1947826
{txt}c_tf~_hc_hc2 {c |}{col 14}{res}{space 2} .0049443{col 26}{space 2} .0115866{col 37}{space 1}    0.43{col 46}{space 3}0.670{col 54}{space 4} -.017935{col 67}{space 3} .0278236
{txt}c_tfull_hc~l {c |}{col 14}{res}{space 2} .0021414{col 26}{space 2} .0116084{col 37}{space 1}    0.18{col 46}{space 3}0.854{col 54}{space 4}-.0207808{col 67}{space 3} .0250636
{txt}c_tfull_hc~s {c |}{col 14}{res}{space 2}-.0060544{col 26}{space 2} .0168002{col 37}{space 1}   -0.36{col 46}{space 3}0.719{col 54}{space 4}-.0392284{col 67}{space 3} .0271197
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2}-.0366629{col 26}{space 2} .0456674{col 37}{space 1}   -0.80{col 46}{space 3}0.423{col 54}{space 4}-.1268389{col 67}{space 3}  .053513
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2} -.008413{col 26}{space 2} .0053887{col 37}{space 1}   -1.56{col 46}{space 3}0.120{col 54}{space 4}-.0190536{col 67}{space 3} .0022277
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2} .0133283{col 26}{space 2} .0175399{col 37}{space 1}    0.76{col 46}{space 3}0.448{col 54}{space 4}-.0213064{col 67}{space 3}  .047963
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} .0606044{col 26}{space 2} .0062373{col 37}{space 1}    9.72{col 46}{space 3}0.000{col 54}{space 4} .0482881{col 67}{space 3} .0729207
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull = .026{p_end}

{txt}       F(  1,   163) ={res}   21.05
{txt}{col 13}Prob > F ={res}    0.0000

{p 0 7}{space 1}{text:( 1)}{space 1} treatfull = -.026{p_end}

{txt}       F(  1,   163) ={res}    3.95
{txt}{col 13}Prob > F ={res}    0.0485

{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}       187
{txt}{col 49}F({res}   8{txt},{res}    163{txt}){col 67}= {res}      0.82
{txt}{col 49}Prob > F{col 67}= {res}    0.5849
{txt}{col 49}R-squared{col 67}= {res}    0.1631
{txt}{col 49}Adj R-squared{col 67}= {res}    0.0450
{txt}{col 49}Root MSE{col 67}= {res}    0.0535

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}e_mortrat~05{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2}-.0102805{col 26}{space 2} .0079077{col 37}{space 1}   -1.30{col 46}{space 3}0.195{col 54}{space 4}-.0258953{col 67}{space 3} .0053342
{txt}b_mortrat~05 {c |}{col 14}{res}{space 2} .0712443{col 26}{space 2} .0625629{col 37}{space 1}    1.14{col 46}{space 3}0.256{col 54}{space 4} -.052294{col 67}{space 3} .1947826
{txt}c_tf~_hc_hc2 {c |}{col 14}{res}{space 2} .0049443{col 26}{space 2} .0115866{col 37}{space 1}    0.43{col 46}{space 3}0.670{col 54}{space 4} -.017935{col 67}{space 3} .0278236
{txt}c_tfull_hc~l {c |}{col 14}{res}{space 2} .0021414{col 26}{space 2} .0116084{col 37}{space 1}    0.18{col 46}{space 3}0.854{col 54}{space 4}-.0207808{col 67}{space 3} .0250636
{txt}c_tfull_hc~s {c |}{col 14}{res}{space 2}-.0060544{col 26}{space 2} .0168002{col 37}{space 1}   -0.36{col 46}{space 3}0.719{col 54}{space 4}-.0392284{col 67}{space 3} .0271197
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2}-.0366629{col 26}{space 2} .0456674{col 37}{space 1}   -0.80{col 46}{space 3}0.423{col 54}{space 4}-.1268389{col 67}{space 3}  .053513
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2} -.008413{col 26}{space 2} .0053887{col 37}{space 1}   -1.56{col 46}{space 3}0.120{col 54}{space 4}-.0190536{col 67}{space 3} .0022277
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2} .0133283{col 26}{space 2} .0175399{col 37}{space 1}    0.76{col 46}{space 3}0.448{col 54}{space 4}-.0213064{col 67}{space 3}  .047963
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} .0606044{col 26}{space 2} .0062373{col 37}{space 1}    9.72{col 46}{space 3}0.000{col 54}{space 4} .0482881{col 67}{space 3} .0729207
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull = .027{p_end}

{txt}       F(  1,   163) ={res}   22.23
{txt}{col 13}Prob > F ={res}    0.0000

{p 0 7}{space 1}{text:( 1)}{space 1} treatfull = -.027{p_end}

{txt}       F(  1,   163) ={res}    4.47
{txt}{col 13}Prob > F ={res}    0.0360

{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}       187
{txt}{col 49}F({res}   8{txt},{res}    163{txt}){col 67}= {res}      0.82
{txt}{col 49}Prob > F{col 67}= {res}    0.5849
{txt}{col 49}R-squared{col 67}= {res}    0.1631
{txt}{col 49}Adj R-squared{col 67}= {res}    0.0450
{txt}{col 49}Root MSE{col 67}= {res}    0.0535

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}e_mortrat~05{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2}-.0102805{col 26}{space 2} .0079077{col 37}{space 1}   -1.30{col 46}{space 3}0.195{col 54}{space 4}-.0258953{col 67}{space 3} .0053342
{txt}b_mortrat~05 {c |}{col 14}{res}{space 2} .0712443{col 26}{space 2} .0625629{col 37}{space 1}    1.14{col 46}{space 3}0.256{col 54}{space 4} -.052294{col 67}{space 3} .1947826
{txt}c_tf~_hc_hc2 {c |}{col 14}{res}{space 2} .0049443{col 26}{space 2} .0115866{col 37}{space 1}    0.43{col 46}{space 3}0.670{col 54}{space 4} -.017935{col 67}{space 3} .0278236
{txt}c_tfull_hc~l {c |}{col 14}{res}{space 2} .0021414{col 26}{space 2} .0116084{col 37}{space 1}    0.18{col 46}{space 3}0.854{col 54}{space 4}-.0207808{col 67}{space 3} .0250636
{txt}c_tfull_hc~s {c |}{col 14}{res}{space 2}-.0060544{col 26}{space 2} .0168002{col 37}{space 1}   -0.36{col 46}{space 3}0.719{col 54}{space 4}-.0392284{col 67}{space 3} .0271197
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2}-.0366629{col 26}{space 2} .0456674{col 37}{space 1}   -0.80{col 46}{space 3}0.423{col 54}{space 4}-.1268389{col 67}{space 3}  .053513
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2} -.008413{col 26}{space 2} .0053887{col 37}{space 1}   -1.56{col 46}{space 3}0.120{col 54}{space 4}-.0190536{col 67}{space 3} .0022277
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2} .0133283{col 26}{space 2} .0175399{col 37}{space 1}    0.76{col 46}{space 3}0.448{col 54}{space 4}-.0213064{col 67}{space 3}  .047963
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} .0606044{col 26}{space 2} .0062373{col 37}{space 1}    9.72{col 46}{space 3}0.000{col 54}{space 4} .0482881{col 67}{space 3} .0729207
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull = .028{p_end}

{txt}       F(  1,   163) ={res}   23.43
{txt}{col 13}Prob > F ={res}    0.0000

{p 0 7}{space 1}{text:( 1)}{space 1} treatfull = -.028{p_end}

{txt}       F(  1,   163) ={res}    5.02
{txt}{col 13}Prob > F ={res}    0.0264

{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}       187
{txt}{col 49}F({res}   8{txt},{res}    163{txt}){col 67}= {res}      0.82
{txt}{col 49}Prob > F{col 67}= {res}    0.5849
{txt}{col 49}R-squared{col 67}= {res}    0.1631
{txt}{col 49}Adj R-squared{col 67}= {res}    0.0450
{txt}{col 49}Root MSE{col 67}= {res}    0.0535

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}e_mortrat~05{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2}-.0102805{col 26}{space 2} .0079077{col 37}{space 1}   -1.30{col 46}{space 3}0.195{col 54}{space 4}-.0258953{col 67}{space 3} .0053342
{txt}b_mortrat~05 {c |}{col 14}{res}{space 2} .0712443{col 26}{space 2} .0625629{col 37}{space 1}    1.14{col 46}{space 3}0.256{col 54}{space 4} -.052294{col 67}{space 3} .1947826
{txt}c_tf~_hc_hc2 {c |}{col 14}{res}{space 2} .0049443{col 26}{space 2} .0115866{col 37}{space 1}    0.43{col 46}{space 3}0.670{col 54}{space 4} -.017935{col 67}{space 3} .0278236
{txt}c_tfull_hc~l {c |}{col 14}{res}{space 2} .0021414{col 26}{space 2} .0116084{col 37}{space 1}    0.18{col 46}{space 3}0.854{col 54}{space 4}-.0207808{col 67}{space 3} .0250636
{txt}c_tfull_hc~s {c |}{col 14}{res}{space 2}-.0060544{col 26}{space 2} .0168002{col 37}{space 1}   -0.36{col 46}{space 3}0.719{col 54}{space 4}-.0392284{col 67}{space 3} .0271197
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2}-.0366629{col 26}{space 2} .0456674{col 37}{space 1}   -0.80{col 46}{space 3}0.423{col 54}{space 4}-.1268389{col 67}{space 3}  .053513
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2} -.008413{col 26}{space 2} .0053887{col 37}{space 1}   -1.56{col 46}{space 3}0.120{col 54}{space 4}-.0190536{col 67}{space 3} .0022277
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2} .0133283{col 26}{space 2} .0175399{col 37}{space 1}    0.76{col 46}{space 3}0.448{col 54}{space 4}-.0213064{col 67}{space 3}  .047963
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} .0606044{col 26}{space 2} .0062373{col 37}{space 1}    9.72{col 46}{space 3}0.000{col 54}{space 4} .0482881{col 67}{space 3} .0729207
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull = .029{p_end}

{txt}       F(  1,   163) ={res}   24.67
{txt}{col 13}Prob > F ={res}    0.0000

{p 0 7}{space 1}{text:( 1)}{space 1} treatfull = -.029{p_end}

{txt}       F(  1,   163) ={res}    5.60
{txt}{col 13}Prob > F ={res}    0.0191

{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}       187
{txt}{col 49}F({res}   8{txt},{res}    163{txt}){col 67}= {res}      0.82
{txt}{col 49}Prob > F{col 67}= {res}    0.5849
{txt}{col 49}R-squared{col 67}= {res}    0.1631
{txt}{col 49}Adj R-squared{col 67}= {res}    0.0450
{txt}{col 49}Root MSE{col 67}= {res}    0.0535

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}e_mortrat~05{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2}-.0102805{col 26}{space 2} .0079077{col 37}{space 1}   -1.30{col 46}{space 3}0.195{col 54}{space 4}-.0258953{col 67}{space 3} .0053342
{txt}b_mortrat~05 {c |}{col 14}{res}{space 2} .0712443{col 26}{space 2} .0625629{col 37}{space 1}    1.14{col 46}{space 3}0.256{col 54}{space 4} -.052294{col 67}{space 3} .1947826
{txt}c_tf~_hc_hc2 {c |}{col 14}{res}{space 2} .0049443{col 26}{space 2} .0115866{col 37}{space 1}    0.43{col 46}{space 3}0.670{col 54}{space 4} -.017935{col 67}{space 3} .0278236
{txt}c_tfull_hc~l {c |}{col 14}{res}{space 2} .0021414{col 26}{space 2} .0116084{col 37}{space 1}    0.18{col 46}{space 3}0.854{col 54}{space 4}-.0207808{col 67}{space 3} .0250636
{txt}c_tfull_hc~s {c |}{col 14}{res}{space 2}-.0060544{col 26}{space 2} .0168002{col 37}{space 1}   -0.36{col 46}{space 3}0.719{col 54}{space 4}-.0392284{col 67}{space 3} .0271197
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2}-.0366629{col 26}{space 2} .0456674{col 37}{space 1}   -0.80{col 46}{space 3}0.423{col 54}{space 4}-.1268389{col 67}{space 3}  .053513
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2} -.008413{col 26}{space 2} .0053887{col 37}{space 1}   -1.56{col 46}{space 3}0.120{col 54}{space 4}-.0190536{col 67}{space 3} .0022277
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2} .0133283{col 26}{space 2} .0175399{col 37}{space 1}    0.76{col 46}{space 3}0.448{col 54}{space 4}-.0213064{col 67}{space 3}  .047963
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} .0606044{col 26}{space 2} .0062373{col 37}{space 1}    9.72{col 46}{space 3}0.000{col 54}{space 4} .0482881{col 67}{space 3} .0729207
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull = .03{p_end}

{txt}       F(  1,   163) ={res}   25.95
{txt}{col 13}Prob > F ={res}    0.0000

{p 0 7}{space 1}{text:( 1)}{space 1} treatfull = -.03{p_end}

{txt}       F(  1,   163) ={res}    6.22
{txt}{col 13}Prob > F ={res}    0.0136

{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}       187
{txt}{col 49}F({res}   8{txt},{res}    163{txt}){col 67}= {res}      0.82
{txt}{col 49}Prob > F{col 67}= {res}    0.5849
{txt}{col 49}R-squared{col 67}= {res}    0.1631
{txt}{col 49}Adj R-squared{col 67}= {res}    0.0450
{txt}{col 49}Root MSE{col 67}= {res}    0.0535

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}e_mortrat~05{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2}-.0102805{col 26}{space 2} .0079077{col 37}{space 1}   -1.30{col 46}{space 3}0.195{col 54}{space 4}-.0258953{col 67}{space 3} .0053342
{txt}b_mortrat~05 {c |}{col 14}{res}{space 2} .0712443{col 26}{space 2} .0625629{col 37}{space 1}    1.14{col 46}{space 3}0.256{col 54}{space 4} -.052294{col 67}{space 3} .1947826
{txt}c_tf~_hc_hc2 {c |}{col 14}{res}{space 2} .0049443{col 26}{space 2} .0115866{col 37}{space 1}    0.43{col 46}{space 3}0.670{col 54}{space 4} -.017935{col 67}{space 3} .0278236
{txt}c_tfull_hc~l {c |}{col 14}{res}{space 2} .0021414{col 26}{space 2} .0116084{col 37}{space 1}    0.18{col 46}{space 3}0.854{col 54}{space 4}-.0207808{col 67}{space 3} .0250636
{txt}c_tfull_hc~s {c |}{col 14}{res}{space 2}-.0060544{col 26}{space 2} .0168002{col 37}{space 1}   -0.36{col 46}{space 3}0.719{col 54}{space 4}-.0392284{col 67}{space 3} .0271197
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2}-.0366629{col 26}{space 2} .0456674{col 37}{space 1}   -0.80{col 46}{space 3}0.423{col 54}{space 4}-.1268389{col 67}{space 3}  .053513
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2} -.008413{col 26}{space 2} .0053887{col 37}{space 1}   -1.56{col 46}{space 3}0.120{col 54}{space 4}-.0190536{col 67}{space 3} .0022277
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2} .0133283{col 26}{space 2} .0175399{col 37}{space 1}    0.76{col 46}{space 3}0.448{col 54}{space 4}-.0213064{col 67}{space 3}  .047963
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} .0606044{col 26}{space 2} .0062373{col 37}{space 1}    9.72{col 46}{space 3}0.000{col 54}{space 4} .0482881{col 67}{space 3} .0729207
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull = .031{p_end}

{txt}       F(  1,   163) ={res}   27.25
{txt}{col 13}Prob > F ={res}    0.0000

{p 0 7}{space 1}{text:( 1)}{space 1} treatfull = -.031{p_end}

{txt}       F(  1,   163) ={res}    6.87
{txt}{col 13}Prob > F ={res}    0.0096

{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}       187
{txt}{col 49}F({res}   8{txt},{res}    163{txt}){col 67}= {res}      0.82
{txt}{col 49}Prob > F{col 67}= {res}    0.5849
{txt}{col 49}R-squared{col 67}= {res}    0.1631
{txt}{col 49}Adj R-squared{col 67}= {res}    0.0450
{txt}{col 49}Root MSE{col 67}= {res}    0.0535

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}e_mortrat~05{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2}-.0102805{col 26}{space 2} .0079077{col 37}{space 1}   -1.30{col 46}{space 3}0.195{col 54}{space 4}-.0258953{col 67}{space 3} .0053342
{txt}b_mortrat~05 {c |}{col 14}{res}{space 2} .0712443{col 26}{space 2} .0625629{col 37}{space 1}    1.14{col 46}{space 3}0.256{col 54}{space 4} -.052294{col 67}{space 3} .1947826
{txt}c_tf~_hc_hc2 {c |}{col 14}{res}{space 2} .0049443{col 26}{space 2} .0115866{col 37}{space 1}    0.43{col 46}{space 3}0.670{col 54}{space 4} -.017935{col 67}{space 3} .0278236
{txt}c_tfull_hc~l {c |}{col 14}{res}{space 2} .0021414{col 26}{space 2} .0116084{col 37}{space 1}    0.18{col 46}{space 3}0.854{col 54}{space 4}-.0207808{col 67}{space 3} .0250636
{txt}c_tfull_hc~s {c |}{col 14}{res}{space 2}-.0060544{col 26}{space 2} .0168002{col 37}{space 1}   -0.36{col 46}{space 3}0.719{col 54}{space 4}-.0392284{col 67}{space 3} .0271197
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2}-.0366629{col 26}{space 2} .0456674{col 37}{space 1}   -0.80{col 46}{space 3}0.423{col 54}{space 4}-.1268389{col 67}{space 3}  .053513
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2} -.008413{col 26}{space 2} .0053887{col 37}{space 1}   -1.56{col 46}{space 3}0.120{col 54}{space 4}-.0190536{col 67}{space 3} .0022277
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2} .0133283{col 26}{space 2} .0175399{col 37}{space 1}    0.76{col 46}{space 3}0.448{col 54}{space 4}-.0213064{col 67}{space 3}  .047963
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} .0606044{col 26}{space 2} .0062373{col 37}{space 1}    9.72{col 46}{space 3}0.000{col 54}{space 4} .0482881{col 67}{space 3} .0729207
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull = .032{p_end}

{txt}       F(  1,   163) ={res}   28.59
{txt}{col 13}Prob > F ={res}    0.0000

{p 0 7}{space 1}{text:( 1)}{space 1} treatfull = -.032{p_end}

{txt}       F(  1,   163) ={res}    7.54
{txt}{col 13}Prob > F ={res}    0.0067

{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}       187
{txt}{col 49}F({res}   8{txt},{res}    163{txt}){col 67}= {res}      0.82
{txt}{col 49}Prob > F{col 67}= {res}    0.5849
{txt}{col 49}R-squared{col 67}= {res}    0.1631
{txt}{col 49}Adj R-squared{col 67}= {res}    0.0450
{txt}{col 49}Root MSE{col 67}= {res}    0.0535

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}e_mortrat~05{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2}-.0102805{col 26}{space 2} .0079077{col 37}{space 1}   -1.30{col 46}{space 3}0.195{col 54}{space 4}-.0258953{col 67}{space 3} .0053342
{txt}b_mortrat~05 {c |}{col 14}{res}{space 2} .0712443{col 26}{space 2} .0625629{col 37}{space 1}    1.14{col 46}{space 3}0.256{col 54}{space 4} -.052294{col 67}{space 3} .1947826
{txt}c_tf~_hc_hc2 {c |}{col 14}{res}{space 2} .0049443{col 26}{space 2} .0115866{col 37}{space 1}    0.43{col 46}{space 3}0.670{col 54}{space 4} -.017935{col 67}{space 3} .0278236
{txt}c_tfull_hc~l {c |}{col 14}{res}{space 2} .0021414{col 26}{space 2} .0116084{col 37}{space 1}    0.18{col 46}{space 3}0.854{col 54}{space 4}-.0207808{col 67}{space 3} .0250636
{txt}c_tfull_hc~s {c |}{col 14}{res}{space 2}-.0060544{col 26}{space 2} .0168002{col 37}{space 1}   -0.36{col 46}{space 3}0.719{col 54}{space 4}-.0392284{col 67}{space 3} .0271197
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2}-.0366629{col 26}{space 2} .0456674{col 37}{space 1}   -0.80{col 46}{space 3}0.423{col 54}{space 4}-.1268389{col 67}{space 3}  .053513
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2} -.008413{col 26}{space 2} .0053887{col 37}{space 1}   -1.56{col 46}{space 3}0.120{col 54}{space 4}-.0190536{col 67}{space 3} .0022277
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2} .0133283{col 26}{space 2} .0175399{col 37}{space 1}    0.76{col 46}{space 3}0.448{col 54}{space 4}-.0213064{col 67}{space 3}  .047963
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} .0606044{col 26}{space 2} .0062373{col 37}{space 1}    9.72{col 46}{space 3}0.000{col 54}{space 4} .0482881{col 67}{space 3} .0729207
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull = .033{p_end}

{txt}       F(  1,   163) ={res}   29.96
{txt}{col 13}Prob > F ={res}    0.0000

{p 0 7}{space 1}{text:( 1)}{space 1} treatfull = -.033{p_end}

{txt}       F(  1,   163) ={res}    8.25
{txt}{col 13}Prob > F ={res}    0.0046

{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}       187
{txt}{col 49}F({res}   8{txt},{res}    163{txt}){col 67}= {res}      0.82
{txt}{col 49}Prob > F{col 67}= {res}    0.5849
{txt}{col 49}R-squared{col 67}= {res}    0.1631
{txt}{col 49}Adj R-squared{col 67}= {res}    0.0450
{txt}{col 49}Root MSE{col 67}= {res}    0.0535

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}e_mortrat~05{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2}-.0102805{col 26}{space 2} .0079077{col 37}{space 1}   -1.30{col 46}{space 3}0.195{col 54}{space 4}-.0258953{col 67}{space 3} .0053342
{txt}b_mortrat~05 {c |}{col 14}{res}{space 2} .0712443{col 26}{space 2} .0625629{col 37}{space 1}    1.14{col 46}{space 3}0.256{col 54}{space 4} -.052294{col 67}{space 3} .1947826
{txt}c_tf~_hc_hc2 {c |}{col 14}{res}{space 2} .0049443{col 26}{space 2} .0115866{col 37}{space 1}    0.43{col 46}{space 3}0.670{col 54}{space 4} -.017935{col 67}{space 3} .0278236
{txt}c_tfull_hc~l {c |}{col 14}{res}{space 2} .0021414{col 26}{space 2} .0116084{col 37}{space 1}    0.18{col 46}{space 3}0.854{col 54}{space 4}-.0207808{col 67}{space 3} .0250636
{txt}c_tfull_hc~s {c |}{col 14}{res}{space 2}-.0060544{col 26}{space 2} .0168002{col 37}{space 1}   -0.36{col 46}{space 3}0.719{col 54}{space 4}-.0392284{col 67}{space 3} .0271197
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2}-.0366629{col 26}{space 2} .0456674{col 37}{space 1}   -0.80{col 46}{space 3}0.423{col 54}{space 4}-.1268389{col 67}{space 3}  .053513
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2} -.008413{col 26}{space 2} .0053887{col 37}{space 1}   -1.56{col 46}{space 3}0.120{col 54}{space 4}-.0190536{col 67}{space 3} .0022277
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2} .0133283{col 26}{space 2} .0175399{col 37}{space 1}    0.76{col 46}{space 3}0.448{col 54}{space 4}-.0213064{col 67}{space 3}  .047963
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} .0606044{col 26}{space 2} .0062373{col 37}{space 1}    9.72{col 46}{space 3}0.000{col 54}{space 4} .0482881{col 67}{space 3} .0729207
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull = .034{p_end}

{txt}       F(  1,   163) ={res}   31.36
{txt}{col 13}Prob > F ={res}    0.0000

{p 0 7}{space 1}{text:( 1)}{space 1} treatfull = -.034{p_end}

{txt}       F(  1,   163) ={res}    9.00
{txt}{col 13}Prob > F ={res}    0.0031

{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}       187
{txt}{col 49}F({res}   8{txt},{res}    163{txt}){col 67}= {res}      0.82
{txt}{col 49}Prob > F{col 67}= {res}    0.5849
{txt}{col 49}R-squared{col 67}= {res}    0.1631
{txt}{col 49}Adj R-squared{col 67}= {res}    0.0450
{txt}{col 49}Root MSE{col 67}= {res}    0.0535

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}e_mortrat~05{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2}-.0102805{col 26}{space 2} .0079077{col 37}{space 1}   -1.30{col 46}{space 3}0.195{col 54}{space 4}-.0258953{col 67}{space 3} .0053342
{txt}b_mortrat~05 {c |}{col 14}{res}{space 2} .0712443{col 26}{space 2} .0625629{col 37}{space 1}    1.14{col 46}{space 3}0.256{col 54}{space 4} -.052294{col 67}{space 3} .1947826
{txt}c_tf~_hc_hc2 {c |}{col 14}{res}{space 2} .0049443{col 26}{space 2} .0115866{col 37}{space 1}    0.43{col 46}{space 3}0.670{col 54}{space 4} -.017935{col 67}{space 3} .0278236
{txt}c_tfull_hc~l {c |}{col 14}{res}{space 2} .0021414{col 26}{space 2} .0116084{col 37}{space 1}    0.18{col 46}{space 3}0.854{col 54}{space 4}-.0207808{col 67}{space 3} .0250636
{txt}c_tfull_hc~s {c |}{col 14}{res}{space 2}-.0060544{col 26}{space 2} .0168002{col 37}{space 1}   -0.36{col 46}{space 3}0.719{col 54}{space 4}-.0392284{col 67}{space 3} .0271197
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2}-.0366629{col 26}{space 2} .0456674{col 37}{space 1}   -0.80{col 46}{space 3}0.423{col 54}{space 4}-.1268389{col 67}{space 3}  .053513
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2} -.008413{col 26}{space 2} .0053887{col 37}{space 1}   -1.56{col 46}{space 3}0.120{col 54}{space 4}-.0190536{col 67}{space 3} .0022277
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2} .0133283{col 26}{space 2} .0175399{col 37}{space 1}    0.76{col 46}{space 3}0.448{col 54}{space 4}-.0213064{col 67}{space 3}  .047963
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} .0606044{col 26}{space 2} .0062373{col 37}{space 1}    9.72{col 46}{space 3}0.000{col 54}{space 4} .0482881{col 67}{space 3} .0729207
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull = .035{p_end}

{txt}       F(  1,   163) ={res}   32.79
{txt}{col 13}Prob > F ={res}    0.0000

{p 0 7}{space 1}{text:( 1)}{space 1} treatfull = -.035{p_end}

{txt}       F(  1,   163) ={res}    9.77
{txt}{col 13}Prob > F ={res}    0.0021

{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}       187
{txt}{col 49}F({res}   8{txt},{res}    163{txt}){col 67}= {res}      0.82
{txt}{col 49}Prob > F{col 67}= {res}    0.5849
{txt}{col 49}R-squared{col 67}= {res}    0.1631
{txt}{col 49}Adj R-squared{col 67}= {res}    0.0450
{txt}{col 49}Root MSE{col 67}= {res}    0.0535

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}e_mortrat~05{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2}-.0102805{col 26}{space 2} .0079077{col 37}{space 1}   -1.30{col 46}{space 3}0.195{col 54}{space 4}-.0258953{col 67}{space 3} .0053342
{txt}b_mortrat~05 {c |}{col 14}{res}{space 2} .0712443{col 26}{space 2} .0625629{col 37}{space 1}    1.14{col 46}{space 3}0.256{col 54}{space 4} -.052294{col 67}{space 3} .1947826
{txt}c_tf~_hc_hc2 {c |}{col 14}{res}{space 2} .0049443{col 26}{space 2} .0115866{col 37}{space 1}    0.43{col 46}{space 3}0.670{col 54}{space 4} -.017935{col 67}{space 3} .0278236
{txt}c_tfull_hc~l {c |}{col 14}{res}{space 2} .0021414{col 26}{space 2} .0116084{col 37}{space 1}    0.18{col 46}{space 3}0.854{col 54}{space 4}-.0207808{col 67}{space 3} .0250636
{txt}c_tfull_hc~s {c |}{col 14}{res}{space 2}-.0060544{col 26}{space 2} .0168002{col 37}{space 1}   -0.36{col 46}{space 3}0.719{col 54}{space 4}-.0392284{col 67}{space 3} .0271197
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2}-.0366629{col 26}{space 2} .0456674{col 37}{space 1}   -0.80{col 46}{space 3}0.423{col 54}{space 4}-.1268389{col 67}{space 3}  .053513
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2} -.008413{col 26}{space 2} .0053887{col 37}{space 1}   -1.56{col 46}{space 3}0.120{col 54}{space 4}-.0190536{col 67}{space 3} .0022277
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2} .0133283{col 26}{space 2} .0175399{col 37}{space 1}    0.76{col 46}{space 3}0.448{col 54}{space 4}-.0213064{col 67}{space 3}  .047963
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} .0606044{col 26}{space 2} .0062373{col 37}{space 1}    9.72{col 46}{space 3}0.000{col 54}{space 4} .0482881{col 67}{space 3} .0729207
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull = .036{p_end}

{txt}       F(  1,   163) ={res}   34.25
{txt}{col 13}Prob > F ={res}    0.0000

{p 0 7}{space 1}{text:( 1)}{space 1} treatfull = -.036{p_end}

{txt}       F(  1,   163) ={res}   10.58
{txt}{col 13}Prob > F ={res}    0.0014

{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}       187
{txt}{col 49}F({res}   8{txt},{res}    163{txt}){col 67}= {res}      0.82
{txt}{col 49}Prob > F{col 67}= {res}    0.5849
{txt}{col 49}R-squared{col 67}= {res}    0.1631
{txt}{col 49}Adj R-squared{col 67}= {res}    0.0450
{txt}{col 49}Root MSE{col 67}= {res}    0.0535

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}e_mortrat~05{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2}-.0102805{col 26}{space 2} .0079077{col 37}{space 1}   -1.30{col 46}{space 3}0.195{col 54}{space 4}-.0258953{col 67}{space 3} .0053342
{txt}b_mortrat~05 {c |}{col 14}{res}{space 2} .0712443{col 26}{space 2} .0625629{col 37}{space 1}    1.14{col 46}{space 3}0.256{col 54}{space 4} -.052294{col 67}{space 3} .1947826
{txt}c_tf~_hc_hc2 {c |}{col 14}{res}{space 2} .0049443{col 26}{space 2} .0115866{col 37}{space 1}    0.43{col 46}{space 3}0.670{col 54}{space 4} -.017935{col 67}{space 3} .0278236
{txt}c_tfull_hc~l {c |}{col 14}{res}{space 2} .0021414{col 26}{space 2} .0116084{col 37}{space 1}    0.18{col 46}{space 3}0.854{col 54}{space 4}-.0207808{col 67}{space 3} .0250636
{txt}c_tfull_hc~s {c |}{col 14}{res}{space 2}-.0060544{col 26}{space 2} .0168002{col 37}{space 1}   -0.36{col 46}{space 3}0.719{col 54}{space 4}-.0392284{col 67}{space 3} .0271197
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2}-.0366629{col 26}{space 2} .0456674{col 37}{space 1}   -0.80{col 46}{space 3}0.423{col 54}{space 4}-.1268389{col 67}{space 3}  .053513
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2} -.008413{col 26}{space 2} .0053887{col 37}{space 1}   -1.56{col 46}{space 3}0.120{col 54}{space 4}-.0190536{col 67}{space 3} .0022277
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2} .0133283{col 26}{space 2} .0175399{col 37}{space 1}    0.76{col 46}{space 3}0.448{col 54}{space 4}-.0213064{col 67}{space 3}  .047963
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} .0606044{col 26}{space 2} .0062373{col 37}{space 1}    9.72{col 46}{space 3}0.000{col 54}{space 4} .0482881{col 67}{space 3} .0729207
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull = .037{p_end}

{txt}       F(  1,   163) ={res}   35.75
{txt}{col 13}Prob > F ={res}    0.0000

{p 0 7}{space 1}{text:( 1)}{space 1} treatfull = -.037{p_end}

{txt}       F(  1,   163) ={res}   11.42
{txt}{col 13}Prob > F ={res}    0.0009

{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}       187
{txt}{col 49}F({res}   8{txt},{res}    163{txt}){col 67}= {res}      0.82
{txt}{col 49}Prob > F{col 67}= {res}    0.5849
{txt}{col 49}R-squared{col 67}= {res}    0.1631
{txt}{col 49}Adj R-squared{col 67}= {res}    0.0450
{txt}{col 49}Root MSE{col 67}= {res}    0.0535

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}e_mortrat~05{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2}-.0102805{col 26}{space 2} .0079077{col 37}{space 1}   -1.30{col 46}{space 3}0.195{col 54}{space 4}-.0258953{col 67}{space 3} .0053342
{txt}b_mortrat~05 {c |}{col 14}{res}{space 2} .0712443{col 26}{space 2} .0625629{col 37}{space 1}    1.14{col 46}{space 3}0.256{col 54}{space 4} -.052294{col 67}{space 3} .1947826
{txt}c_tf~_hc_hc2 {c |}{col 14}{res}{space 2} .0049443{col 26}{space 2} .0115866{col 37}{space 1}    0.43{col 46}{space 3}0.670{col 54}{space 4} -.017935{col 67}{space 3} .0278236
{txt}c_tfull_hc~l {c |}{col 14}{res}{space 2} .0021414{col 26}{space 2} .0116084{col 37}{space 1}    0.18{col 46}{space 3}0.854{col 54}{space 4}-.0207808{col 67}{space 3} .0250636
{txt}c_tfull_hc~s {c |}{col 14}{res}{space 2}-.0060544{col 26}{space 2} .0168002{col 37}{space 1}   -0.36{col 46}{space 3}0.719{col 54}{space 4}-.0392284{col 67}{space 3} .0271197
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2}-.0366629{col 26}{space 2} .0456674{col 37}{space 1}   -0.80{col 46}{space 3}0.423{col 54}{space 4}-.1268389{col 67}{space 3}  .053513
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2} -.008413{col 26}{space 2} .0053887{col 37}{space 1}   -1.56{col 46}{space 3}0.120{col 54}{space 4}-.0190536{col 67}{space 3} .0022277
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2} .0133283{col 26}{space 2} .0175399{col 37}{space 1}    0.76{col 46}{space 3}0.448{col 54}{space 4}-.0213064{col 67}{space 3}  .047963
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} .0606044{col 26}{space 2} .0062373{col 37}{space 1}    9.72{col 46}{space 3}0.000{col 54}{space 4} .0482881{col 67}{space 3} .0729207
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull = .038{p_end}

{txt}       F(  1,   163) ={res}   37.28
{txt}{col 13}Prob > F ={res}    0.0000

{p 0 7}{space 1}{text:( 1)}{space 1} treatfull = -.038{p_end}

{txt}       F(  1,   163) ={res}   12.29
{txt}{col 13}Prob > F ={res}    0.0006

{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}       187
{txt}{col 49}F({res}   8{txt},{res}    163{txt}){col 67}= {res}      0.82
{txt}{col 49}Prob > F{col 67}= {res}    0.5849
{txt}{col 49}R-squared{col 67}= {res}    0.1631
{txt}{col 49}Adj R-squared{col 67}= {res}    0.0450
{txt}{col 49}Root MSE{col 67}= {res}    0.0535

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}e_mortrat~05{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2}-.0102805{col 26}{space 2} .0079077{col 37}{space 1}   -1.30{col 46}{space 3}0.195{col 54}{space 4}-.0258953{col 67}{space 3} .0053342
{txt}b_mortrat~05 {c |}{col 14}{res}{space 2} .0712443{col 26}{space 2} .0625629{col 37}{space 1}    1.14{col 46}{space 3}0.256{col 54}{space 4} -.052294{col 67}{space 3} .1947826
{txt}c_tf~_hc_hc2 {c |}{col 14}{res}{space 2} .0049443{col 26}{space 2} .0115866{col 37}{space 1}    0.43{col 46}{space 3}0.670{col 54}{space 4} -.017935{col 67}{space 3} .0278236
{txt}c_tfull_hc~l {c |}{col 14}{res}{space 2} .0021414{col 26}{space 2} .0116084{col 37}{space 1}    0.18{col 46}{space 3}0.854{col 54}{space 4}-.0207808{col 67}{space 3} .0250636
{txt}c_tfull_hc~s {c |}{col 14}{res}{space 2}-.0060544{col 26}{space 2} .0168002{col 37}{space 1}   -0.36{col 46}{space 3}0.719{col 54}{space 4}-.0392284{col 67}{space 3} .0271197
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2}-.0366629{col 26}{space 2} .0456674{col 37}{space 1}   -0.80{col 46}{space 3}0.423{col 54}{space 4}-.1268389{col 67}{space 3}  .053513
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2} -.008413{col 26}{space 2} .0053887{col 37}{space 1}   -1.56{col 46}{space 3}0.120{col 54}{space 4}-.0190536{col 67}{space 3} .0022277
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2} .0133283{col 26}{space 2} .0175399{col 37}{space 1}    0.76{col 46}{space 3}0.448{col 54}{space 4}-.0213064{col 67}{space 3}  .047963
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} .0606044{col 26}{space 2} .0062373{col 37}{space 1}    9.72{col 46}{space 3}0.000{col 54}{space 4} .0482881{col 67}{space 3} .0729207
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull = .039{p_end}

{txt}       F(  1,   163) ={res}   38.84
{txt}{col 13}Prob > F ={res}    0.0000

{p 0 7}{space 1}{text:( 1)}{space 1} treatfull = -.039{p_end}

{txt}       F(  1,   163) ={res}   13.19
{txt}{col 13}Prob > F ={res}    0.0004

{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}       187
{txt}{col 49}F({res}   8{txt},{res}    163{txt}){col 67}= {res}      0.82
{txt}{col 49}Prob > F{col 67}= {res}    0.5849
{txt}{col 49}R-squared{col 67}= {res}    0.1631
{txt}{col 49}Adj R-squared{col 67}= {res}    0.0450
{txt}{col 49}Root MSE{col 67}= {res}    0.0535

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}e_mortrat~05{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2}-.0102805{col 26}{space 2} .0079077{col 37}{space 1}   -1.30{col 46}{space 3}0.195{col 54}{space 4}-.0258953{col 67}{space 3} .0053342
{txt}b_mortrat~05 {c |}{col 14}{res}{space 2} .0712443{col 26}{space 2} .0625629{col 37}{space 1}    1.14{col 46}{space 3}0.256{col 54}{space 4} -.052294{col 67}{space 3} .1947826
{txt}c_tf~_hc_hc2 {c |}{col 14}{res}{space 2} .0049443{col 26}{space 2} .0115866{col 37}{space 1}    0.43{col 46}{space 3}0.670{col 54}{space 4} -.017935{col 67}{space 3} .0278236
{txt}c_tfull_hc~l {c |}{col 14}{res}{space 2} .0021414{col 26}{space 2} .0116084{col 37}{space 1}    0.18{col 46}{space 3}0.854{col 54}{space 4}-.0207808{col 67}{space 3} .0250636
{txt}c_tfull_hc~s {c |}{col 14}{res}{space 2}-.0060544{col 26}{space 2} .0168002{col 37}{space 1}   -0.36{col 46}{space 3}0.719{col 54}{space 4}-.0392284{col 67}{space 3} .0271197
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2}-.0366629{col 26}{space 2} .0456674{col 37}{space 1}   -0.80{col 46}{space 3}0.423{col 54}{space 4}-.1268389{col 67}{space 3}  .053513
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2} -.008413{col 26}{space 2} .0053887{col 37}{space 1}   -1.56{col 46}{space 3}0.120{col 54}{space 4}-.0190536{col 67}{space 3} .0022277
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2} .0133283{col 26}{space 2} .0175399{col 37}{space 1}    0.76{col 46}{space 3}0.448{col 54}{space 4}-.0213064{col 67}{space 3}  .047963
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} .0606044{col 26}{space 2} .0062373{col 37}{space 1}    9.72{col 46}{space 3}0.000{col 54}{space 4} .0482881{col 67}{space 3} .0729207
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull = .04{p_end}

{txt}       F(  1,   163) ={res}   40.43
{txt}{col 13}Prob > F ={res}    0.0000

{p 0 7}{space 1}{text:( 1)}{space 1} treatfull = -.04{p_end}

{txt}       F(  1,   163) ={res}   14.12
{txt}{col 13}Prob > F ={res}    0.0002

{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}       187
{txt}{col 49}F({res}   8{txt},{res}    163{txt}){col 67}= {res}      0.82
{txt}{col 49}Prob > F{col 67}= {res}    0.5849
{txt}{col 49}R-squared{col 67}= {res}    0.1631
{txt}{col 49}Adj R-squared{col 67}= {res}    0.0450
{txt}{col 49}Root MSE{col 67}= {res}    0.0535

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}e_mortrat~05{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2}-.0102805{col 26}{space 2} .0079077{col 37}{space 1}   -1.30{col 46}{space 3}0.195{col 54}{space 4}-.0258953{col 67}{space 3} .0053342
{txt}b_mortrat~05 {c |}{col 14}{res}{space 2} .0712443{col 26}{space 2} .0625629{col 37}{space 1}    1.14{col 46}{space 3}0.256{col 54}{space 4} -.052294{col 67}{space 3} .1947826
{txt}c_tf~_hc_hc2 {c |}{col 14}{res}{space 2} .0049443{col 26}{space 2} .0115866{col 37}{space 1}    0.43{col 46}{space 3}0.670{col 54}{space 4} -.017935{col 67}{space 3} .0278236
{txt}c_tfull_hc~l {c |}{col 14}{res}{space 2} .0021414{col 26}{space 2} .0116084{col 37}{space 1}    0.18{col 46}{space 3}0.854{col 54}{space 4}-.0207808{col 67}{space 3} .0250636
{txt}c_tfull_hc~s {c |}{col 14}{res}{space 2}-.0060544{col 26}{space 2} .0168002{col 37}{space 1}   -0.36{col 46}{space 3}0.719{col 54}{space 4}-.0392284{col 67}{space 3} .0271197
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2}-.0366629{col 26}{space 2} .0456674{col 37}{space 1}   -0.80{col 46}{space 3}0.423{col 54}{space 4}-.1268389{col 67}{space 3}  .053513
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2} -.008413{col 26}{space 2} .0053887{col 37}{space 1}   -1.56{col 46}{space 3}0.120{col 54}{space 4}-.0190536{col 67}{space 3} .0022277
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2} .0133283{col 26}{space 2} .0175399{col 37}{space 1}    0.76{col 46}{space 3}0.448{col 54}{space 4}-.0213064{col 67}{space 3}  .047963
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} .0606044{col 26}{space 2} .0062373{col 37}{space 1}    9.72{col 46}{space 3}0.000{col 54}{space 4} .0482881{col 67}{space 3} .0729207
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull = .041{p_end}

{txt}       F(  1,   163) ={res}   42.05
{txt}{col 13}Prob > F ={res}    0.0000

{p 0 7}{space 1}{text:( 1)}{space 1} treatfull = -.041{p_end}

{txt}       F(  1,   163) ={res}   15.09
{txt}{col 13}Prob > F ={res}    0.0001

{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}       187
{txt}{col 49}F({res}   8{txt},{res}    163{txt}){col 67}= {res}      0.82
{txt}{col 49}Prob > F{col 67}= {res}    0.5849
{txt}{col 49}R-squared{col 67}= {res}    0.1631
{txt}{col 49}Adj R-squared{col 67}= {res}    0.0450
{txt}{col 49}Root MSE{col 67}= {res}    0.0535

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}e_mortrat~05{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2}-.0102805{col 26}{space 2} .0079077{col 37}{space 1}   -1.30{col 46}{space 3}0.195{col 54}{space 4}-.0258953{col 67}{space 3} .0053342
{txt}b_mortrat~05 {c |}{col 14}{res}{space 2} .0712443{col 26}{space 2} .0625629{col 37}{space 1}    1.14{col 46}{space 3}0.256{col 54}{space 4} -.052294{col 67}{space 3} .1947826
{txt}c_tf~_hc_hc2 {c |}{col 14}{res}{space 2} .0049443{col 26}{space 2} .0115866{col 37}{space 1}    0.43{col 46}{space 3}0.670{col 54}{space 4} -.017935{col 67}{space 3} .0278236
{txt}c_tfull_hc~l {c |}{col 14}{res}{space 2} .0021414{col 26}{space 2} .0116084{col 37}{space 1}    0.18{col 46}{space 3}0.854{col 54}{space 4}-.0207808{col 67}{space 3} .0250636
{txt}c_tfull_hc~s {c |}{col 14}{res}{space 2}-.0060544{col 26}{space 2} .0168002{col 37}{space 1}   -0.36{col 46}{space 3}0.719{col 54}{space 4}-.0392284{col 67}{space 3} .0271197
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2}-.0366629{col 26}{space 2} .0456674{col 37}{space 1}   -0.80{col 46}{space 3}0.423{col 54}{space 4}-.1268389{col 67}{space 3}  .053513
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2} -.008413{col 26}{space 2} .0053887{col 37}{space 1}   -1.56{col 46}{space 3}0.120{col 54}{space 4}-.0190536{col 67}{space 3} .0022277
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2} .0133283{col 26}{space 2} .0175399{col 37}{space 1}    0.76{col 46}{space 3}0.448{col 54}{space 4}-.0213064{col 67}{space 3}  .047963
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} .0606044{col 26}{space 2} .0062373{col 37}{space 1}    9.72{col 46}{space 3}0.000{col 54}{space 4} .0482881{col 67}{space 3} .0729207
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull = .042{p_end}

{txt}       F(  1,   163) ={res}   43.71
{txt}{col 13}Prob > F ={res}    0.0000

{p 0 7}{space 1}{text:( 1)}{space 1} treatfull = -.042{p_end}

{txt}       F(  1,   163) ={res}   16.09
{txt}{col 13}Prob > F ={res}    0.0001

{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}       187
{txt}{col 49}F({res}   8{txt},{res}    163{txt}){col 67}= {res}      0.82
{txt}{col 49}Prob > F{col 67}= {res}    0.5849
{txt}{col 49}R-squared{col 67}= {res}    0.1631
{txt}{col 49}Adj R-squared{col 67}= {res}    0.0450
{txt}{col 49}Root MSE{col 67}= {res}    0.0535

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}e_mortrat~05{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2}-.0102805{col 26}{space 2} .0079077{col 37}{space 1}   -1.30{col 46}{space 3}0.195{col 54}{space 4}-.0258953{col 67}{space 3} .0053342
{txt}b_mortrat~05 {c |}{col 14}{res}{space 2} .0712443{col 26}{space 2} .0625629{col 37}{space 1}    1.14{col 46}{space 3}0.256{col 54}{space 4} -.052294{col 67}{space 3} .1947826
{txt}c_tf~_hc_hc2 {c |}{col 14}{res}{space 2} .0049443{col 26}{space 2} .0115866{col 37}{space 1}    0.43{col 46}{space 3}0.670{col 54}{space 4} -.017935{col 67}{space 3} .0278236
{txt}c_tfull_hc~l {c |}{col 14}{res}{space 2} .0021414{col 26}{space 2} .0116084{col 37}{space 1}    0.18{col 46}{space 3}0.854{col 54}{space 4}-.0207808{col 67}{space 3} .0250636
{txt}c_tfull_hc~s {c |}{col 14}{res}{space 2}-.0060544{col 26}{space 2} .0168002{col 37}{space 1}   -0.36{col 46}{space 3}0.719{col 54}{space 4}-.0392284{col 67}{space 3} .0271197
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2}-.0366629{col 26}{space 2} .0456674{col 37}{space 1}   -0.80{col 46}{space 3}0.423{col 54}{space 4}-.1268389{col 67}{space 3}  .053513
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2} -.008413{col 26}{space 2} .0053887{col 37}{space 1}   -1.56{col 46}{space 3}0.120{col 54}{space 4}-.0190536{col 67}{space 3} .0022277
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2} .0133283{col 26}{space 2} .0175399{col 37}{space 1}    0.76{col 46}{space 3}0.448{col 54}{space 4}-.0213064{col 67}{space 3}  .047963
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} .0606044{col 26}{space 2} .0062373{col 37}{space 1}    9.72{col 46}{space 3}0.000{col 54}{space 4} .0482881{col 67}{space 3} .0729207
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull = .043{p_end}

{txt}       F(  1,   163) ={res}   45.40
{txt}{col 13}Prob > F ={res}    0.0000

{p 0 7}{space 1}{text:( 1)}{space 1} treatfull = -.043{p_end}

{txt}       F(  1,   163) ={res}   17.12
{txt}{col 13}Prob > F ={res}    0.0001

{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}       187
{txt}{col 49}F({res}   8{txt},{res}    163{txt}){col 67}= {res}      0.82
{txt}{col 49}Prob > F{col 67}= {res}    0.5849
{txt}{col 49}R-squared{col 67}= {res}    0.1631
{txt}{col 49}Adj R-squared{col 67}= {res}    0.0450
{txt}{col 49}Root MSE{col 67}= {res}    0.0535

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}e_mortrat~05{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2}-.0102805{col 26}{space 2} .0079077{col 37}{space 1}   -1.30{col 46}{space 3}0.195{col 54}{space 4}-.0258953{col 67}{space 3} .0053342
{txt}b_mortrat~05 {c |}{col 14}{res}{space 2} .0712443{col 26}{space 2} .0625629{col 37}{space 1}    1.14{col 46}{space 3}0.256{col 54}{space 4} -.052294{col 67}{space 3} .1947826
{txt}c_tf~_hc_hc2 {c |}{col 14}{res}{space 2} .0049443{col 26}{space 2} .0115866{col 37}{space 1}    0.43{col 46}{space 3}0.670{col 54}{space 4} -.017935{col 67}{space 3} .0278236
{txt}c_tfull_hc~l {c |}{col 14}{res}{space 2} .0021414{col 26}{space 2} .0116084{col 37}{space 1}    0.18{col 46}{space 3}0.854{col 54}{space 4}-.0207808{col 67}{space 3} .0250636
{txt}c_tfull_hc~s {c |}{col 14}{res}{space 2}-.0060544{col 26}{space 2} .0168002{col 37}{space 1}   -0.36{col 46}{space 3}0.719{col 54}{space 4}-.0392284{col 67}{space 3} .0271197
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2}-.0366629{col 26}{space 2} .0456674{col 37}{space 1}   -0.80{col 46}{space 3}0.423{col 54}{space 4}-.1268389{col 67}{space 3}  .053513
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2} -.008413{col 26}{space 2} .0053887{col 37}{space 1}   -1.56{col 46}{space 3}0.120{col 54}{space 4}-.0190536{col 67}{space 3} .0022277
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2} .0133283{col 26}{space 2} .0175399{col 37}{space 1}    0.76{col 46}{space 3}0.448{col 54}{space 4}-.0213064{col 67}{space 3}  .047963
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} .0606044{col 26}{space 2} .0062373{col 37}{space 1}    9.72{col 46}{space 3}0.000{col 54}{space 4} .0482881{col 67}{space 3} .0729207
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull = .044{p_end}

{txt}       F(  1,   163) ={res}   47.12
{txt}{col 13}Prob > F ={res}    0.0000

{p 0 7}{space 1}{text:( 1)}{space 1} treatfull = -.044{p_end}

{txt}       F(  1,   163) ={res}   18.18
{txt}{col 13}Prob > F ={res}    0.0000

{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}       187
{txt}{col 49}F({res}   8{txt},{res}    163{txt}){col 67}= {res}      0.82
{txt}{col 49}Prob > F{col 67}= {res}    0.5849
{txt}{col 49}R-squared{col 67}= {res}    0.1631
{txt}{col 49}Adj R-squared{col 67}= {res}    0.0450
{txt}{col 49}Root MSE{col 67}= {res}    0.0535

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}e_mortrat~05{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2}-.0102805{col 26}{space 2} .0079077{col 37}{space 1}   -1.30{col 46}{space 3}0.195{col 54}{space 4}-.0258953{col 67}{space 3} .0053342
{txt}b_mortrat~05 {c |}{col 14}{res}{space 2} .0712443{col 26}{space 2} .0625629{col 37}{space 1}    1.14{col 46}{space 3}0.256{col 54}{space 4} -.052294{col 67}{space 3} .1947826
{txt}c_tf~_hc_hc2 {c |}{col 14}{res}{space 2} .0049443{col 26}{space 2} .0115866{col 37}{space 1}    0.43{col 46}{space 3}0.670{col 54}{space 4} -.017935{col 67}{space 3} .0278236
{txt}c_tfull_hc~l {c |}{col 14}{res}{space 2} .0021414{col 26}{space 2} .0116084{col 37}{space 1}    0.18{col 46}{space 3}0.854{col 54}{space 4}-.0207808{col 67}{space 3} .0250636
{txt}c_tfull_hc~s {c |}{col 14}{res}{space 2}-.0060544{col 26}{space 2} .0168002{col 37}{space 1}   -0.36{col 46}{space 3}0.719{col 54}{space 4}-.0392284{col 67}{space 3} .0271197
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2}-.0366629{col 26}{space 2} .0456674{col 37}{space 1}   -0.80{col 46}{space 3}0.423{col 54}{space 4}-.1268389{col 67}{space 3}  .053513
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2} -.008413{col 26}{space 2} .0053887{col 37}{space 1}   -1.56{col 46}{space 3}0.120{col 54}{space 4}-.0190536{col 67}{space 3} .0022277
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2} .0133283{col 26}{space 2} .0175399{col 37}{space 1}    0.76{col 46}{space 3}0.448{col 54}{space 4}-.0213064{col 67}{space 3}  .047963
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} .0606044{col 26}{space 2} .0062373{col 37}{space 1}    9.72{col 46}{space 3}0.000{col 54}{space 4} .0482881{col 67}{space 3} .0729207
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull = .045{p_end}

{txt}       F(  1,   163) ={res}   48.87
{txt}{col 13}Prob > F ={res}    0.0000

{p 0 7}{space 1}{text:( 1)}{space 1} treatfull = -.045{p_end}

{txt}       F(  1,   163) ={res}   19.28
{txt}{col 13}Prob > F ={res}    0.0000

{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}       187
{txt}{col 49}F({res}   8{txt},{res}    163{txt}){col 67}= {res}      0.82
{txt}{col 49}Prob > F{col 67}= {res}    0.5849
{txt}{col 49}R-squared{col 67}= {res}    0.1631
{txt}{col 49}Adj R-squared{col 67}= {res}    0.0450
{txt}{col 49}Root MSE{col 67}= {res}    0.0535

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}e_mortrat~05{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2}-.0102805{col 26}{space 2} .0079077{col 37}{space 1}   -1.30{col 46}{space 3}0.195{col 54}{space 4}-.0258953{col 67}{space 3} .0053342
{txt}b_mortrat~05 {c |}{col 14}{res}{space 2} .0712443{col 26}{space 2} .0625629{col 37}{space 1}    1.14{col 46}{space 3}0.256{col 54}{space 4} -.052294{col 67}{space 3} .1947826
{txt}c_tf~_hc_hc2 {c |}{col 14}{res}{space 2} .0049443{col 26}{space 2} .0115866{col 37}{space 1}    0.43{col 46}{space 3}0.670{col 54}{space 4} -.017935{col 67}{space 3} .0278236
{txt}c_tfull_hc~l {c |}{col 14}{res}{space 2} .0021414{col 26}{space 2} .0116084{col 37}{space 1}    0.18{col 46}{space 3}0.854{col 54}{space 4}-.0207808{col 67}{space 3} .0250636
{txt}c_tfull_hc~s {c |}{col 14}{res}{space 2}-.0060544{col 26}{space 2} .0168002{col 37}{space 1}   -0.36{col 46}{space 3}0.719{col 54}{space 4}-.0392284{col 67}{space 3} .0271197
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2}-.0366629{col 26}{space 2} .0456674{col 37}{space 1}   -0.80{col 46}{space 3}0.423{col 54}{space 4}-.1268389{col 67}{space 3}  .053513
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2} -.008413{col 26}{space 2} .0053887{col 37}{space 1}   -1.56{col 46}{space 3}0.120{col 54}{space 4}-.0190536{col 67}{space 3} .0022277
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2} .0133283{col 26}{space 2} .0175399{col 37}{space 1}    0.76{col 46}{space 3}0.448{col 54}{space 4}-.0213064{col 67}{space 3}  .047963
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} .0606044{col 26}{space 2} .0062373{col 37}{space 1}    9.72{col 46}{space 3}0.000{col 54}{space 4} .0482881{col 67}{space 3} .0729207
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull = .046{p_end}

{txt}       F(  1,   163) ={res}   50.65
{txt}{col 13}Prob > F ={res}    0.0000

{p 0 7}{space 1}{text:( 1)}{space 1} treatfull = -.046{p_end}

{txt}       F(  1,   163) ={res}   20.40
{txt}{col 13}Prob > F ={res}    0.0000

{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}       187
{txt}{col 49}F({res}   8{txt},{res}    163{txt}){col 67}= {res}      0.82
{txt}{col 49}Prob > F{col 67}= {res}    0.5849
{txt}{col 49}R-squared{col 67}= {res}    0.1631
{txt}{col 49}Adj R-squared{col 67}= {res}    0.0450
{txt}{col 49}Root MSE{col 67}= {res}    0.0535

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}e_mortrat~05{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2}-.0102805{col 26}{space 2} .0079077{col 37}{space 1}   -1.30{col 46}{space 3}0.195{col 54}{space 4}-.0258953{col 67}{space 3} .0053342
{txt}b_mortrat~05 {c |}{col 14}{res}{space 2} .0712443{col 26}{space 2} .0625629{col 37}{space 1}    1.14{col 46}{space 3}0.256{col 54}{space 4} -.052294{col 67}{space 3} .1947826
{txt}c_tf~_hc_hc2 {c |}{col 14}{res}{space 2} .0049443{col 26}{space 2} .0115866{col 37}{space 1}    0.43{col 46}{space 3}0.670{col 54}{space 4} -.017935{col 67}{space 3} .0278236
{txt}c_tfull_hc~l {c |}{col 14}{res}{space 2} .0021414{col 26}{space 2} .0116084{col 37}{space 1}    0.18{col 46}{space 3}0.854{col 54}{space 4}-.0207808{col 67}{space 3} .0250636
{txt}c_tfull_hc~s {c |}{col 14}{res}{space 2}-.0060544{col 26}{space 2} .0168002{col 37}{space 1}   -0.36{col 46}{space 3}0.719{col 54}{space 4}-.0392284{col 67}{space 3} .0271197
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2}-.0366629{col 26}{space 2} .0456674{col 37}{space 1}   -0.80{col 46}{space 3}0.423{col 54}{space 4}-.1268389{col 67}{space 3}  .053513
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2} -.008413{col 26}{space 2} .0053887{col 37}{space 1}   -1.56{col 46}{space 3}0.120{col 54}{space 4}-.0190536{col 67}{space 3} .0022277
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2} .0133283{col 26}{space 2} .0175399{col 37}{space 1}    0.76{col 46}{space 3}0.448{col 54}{space 4}-.0213064{col 67}{space 3}  .047963
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} .0606044{col 26}{space 2} .0062373{col 37}{space 1}    9.72{col 46}{space 3}0.000{col 54}{space 4} .0482881{col 67}{space 3} .0729207
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull = .047{p_end}

{txt}       F(  1,   163) ={res}   52.47
{txt}{col 13}Prob > F ={res}    0.0000

{p 0 7}{space 1}{text:( 1)}{space 1} treatfull = -.047{p_end}

{txt}       F(  1,   163) ={res}   21.56
{txt}{col 13}Prob > F ={res}    0.0000

{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}       187
{txt}{col 49}F({res}   8{txt},{res}    163{txt}){col 67}= {res}      0.82
{txt}{col 49}Prob > F{col 67}= {res}    0.5849
{txt}{col 49}R-squared{col 67}= {res}    0.1631
{txt}{col 49}Adj R-squared{col 67}= {res}    0.0450
{txt}{col 49}Root MSE{col 67}= {res}    0.0535

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}e_mortrat~05{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2}-.0102805{col 26}{space 2} .0079077{col 37}{space 1}   -1.30{col 46}{space 3}0.195{col 54}{space 4}-.0258953{col 67}{space 3} .0053342
{txt}b_mortrat~05 {c |}{col 14}{res}{space 2} .0712443{col 26}{space 2} .0625629{col 37}{space 1}    1.14{col 46}{space 3}0.256{col 54}{space 4} -.052294{col 67}{space 3} .1947826
{txt}c_tf~_hc_hc2 {c |}{col 14}{res}{space 2} .0049443{col 26}{space 2} .0115866{col 37}{space 1}    0.43{col 46}{space 3}0.670{col 54}{space 4} -.017935{col 67}{space 3} .0278236
{txt}c_tfull_hc~l {c |}{col 14}{res}{space 2} .0021414{col 26}{space 2} .0116084{col 37}{space 1}    0.18{col 46}{space 3}0.854{col 54}{space 4}-.0207808{col 67}{space 3} .0250636
{txt}c_tfull_hc~s {c |}{col 14}{res}{space 2}-.0060544{col 26}{space 2} .0168002{col 37}{space 1}   -0.36{col 46}{space 3}0.719{col 54}{space 4}-.0392284{col 67}{space 3} .0271197
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2}-.0366629{col 26}{space 2} .0456674{col 37}{space 1}   -0.80{col 46}{space 3}0.423{col 54}{space 4}-.1268389{col 67}{space 3}  .053513
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2} -.008413{col 26}{space 2} .0053887{col 37}{space 1}   -1.56{col 46}{space 3}0.120{col 54}{space 4}-.0190536{col 67}{space 3} .0022277
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2} .0133283{col 26}{space 2} .0175399{col 37}{space 1}    0.76{col 46}{space 3}0.448{col 54}{space 4}-.0213064{col 67}{space 3}  .047963
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} .0606044{col 26}{space 2} .0062373{col 37}{space 1}    9.72{col 46}{space 3}0.000{col 54}{space 4} .0482881{col 67}{space 3} .0729207
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull = .048{p_end}

{txt}       F(  1,   163) ={res}   54.32
{txt}{col 13}Prob > F ={res}    0.0000

{p 0 7}{space 1}{text:( 1)}{space 1} treatfull = -.048{p_end}

{txt}       F(  1,   163) ={res}   22.75
{txt}{col 13}Prob > F ={res}    0.0000

{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}       187
{txt}{col 49}F({res}   8{txt},{res}    163{txt}){col 67}= {res}      0.82
{txt}{col 49}Prob > F{col 67}= {res}    0.5849
{txt}{col 49}R-squared{col 67}= {res}    0.1631
{txt}{col 49}Adj R-squared{col 67}= {res}    0.0450
{txt}{col 49}Root MSE{col 67}= {res}    0.0535

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}e_mortrat~05{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2}-.0102805{col 26}{space 2} .0079077{col 37}{space 1}   -1.30{col 46}{space 3}0.195{col 54}{space 4}-.0258953{col 67}{space 3} .0053342
{txt}b_mortrat~05 {c |}{col 14}{res}{space 2} .0712443{col 26}{space 2} .0625629{col 37}{space 1}    1.14{col 46}{space 3}0.256{col 54}{space 4} -.052294{col 67}{space 3} .1947826
{txt}c_tf~_hc_hc2 {c |}{col 14}{res}{space 2} .0049443{col 26}{space 2} .0115866{col 37}{space 1}    0.43{col 46}{space 3}0.670{col 54}{space 4} -.017935{col 67}{space 3} .0278236
{txt}c_tfull_hc~l {c |}{col 14}{res}{space 2} .0021414{col 26}{space 2} .0116084{col 37}{space 1}    0.18{col 46}{space 3}0.854{col 54}{space 4}-.0207808{col 67}{space 3} .0250636
{txt}c_tfull_hc~s {c |}{col 14}{res}{space 2}-.0060544{col 26}{space 2} .0168002{col 37}{space 1}   -0.36{col 46}{space 3}0.719{col 54}{space 4}-.0392284{col 67}{space 3} .0271197
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2}-.0366629{col 26}{space 2} .0456674{col 37}{space 1}   -0.80{col 46}{space 3}0.423{col 54}{space 4}-.1268389{col 67}{space 3}  .053513
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2} -.008413{col 26}{space 2} .0053887{col 37}{space 1}   -1.56{col 46}{space 3}0.120{col 54}{space 4}-.0190536{col 67}{space 3} .0022277
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2} .0133283{col 26}{space 2} .0175399{col 37}{space 1}    0.76{col 46}{space 3}0.448{col 54}{space 4}-.0213064{col 67}{space 3}  .047963
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} .0606044{col 26}{space 2} .0062373{col 37}{space 1}    9.72{col 46}{space 3}0.000{col 54}{space 4} .0482881{col 67}{space 3} .0729207
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull = .049{p_end}

{txt}       F(  1,   163) ={res}   56.20
{txt}{col 13}Prob > F ={res}    0.0000

{p 0 7}{space 1}{text:( 1)}{space 1} treatfull = -.049{p_end}

{txt}       F(  1,   163) ={res}   23.97
{txt}{col 13}Prob > F ={res}    0.0000

{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}       187
{txt}{col 49}F({res}   8{txt},{res}    163{txt}){col 67}= {res}      0.82
{txt}{col 49}Prob > F{col 67}= {res}    0.5849
{txt}{col 49}R-squared{col 67}= {res}    0.1631
{txt}{col 49}Adj R-squared{col 67}= {res}    0.0450
{txt}{col 49}Root MSE{col 67}= {res}    0.0535

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}e_mortrat~05{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2}-.0102805{col 26}{space 2} .0079077{col 37}{space 1}   -1.30{col 46}{space 3}0.195{col 54}{space 4}-.0258953{col 67}{space 3} .0053342
{txt}b_mortrat~05 {c |}{col 14}{res}{space 2} .0712443{col 26}{space 2} .0625629{col 37}{space 1}    1.14{col 46}{space 3}0.256{col 54}{space 4} -.052294{col 67}{space 3} .1947826
{txt}c_tf~_hc_hc2 {c |}{col 14}{res}{space 2} .0049443{col 26}{space 2} .0115866{col 37}{space 1}    0.43{col 46}{space 3}0.670{col 54}{space 4} -.017935{col 67}{space 3} .0278236
{txt}c_tfull_hc~l {c |}{col 14}{res}{space 2} .0021414{col 26}{space 2} .0116084{col 37}{space 1}    0.18{col 46}{space 3}0.854{col 54}{space 4}-.0207808{col 67}{space 3} .0250636
{txt}c_tfull_hc~s {c |}{col 14}{res}{space 2}-.0060544{col 26}{space 2} .0168002{col 37}{space 1}   -0.36{col 46}{space 3}0.719{col 54}{space 4}-.0392284{col 67}{space 3} .0271197
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2}-.0366629{col 26}{space 2} .0456674{col 37}{space 1}   -0.80{col 46}{space 3}0.423{col 54}{space 4}-.1268389{col 67}{space 3}  .053513
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2} -.008413{col 26}{space 2} .0053887{col 37}{space 1}   -1.56{col 46}{space 3}0.120{col 54}{space 4}-.0190536{col 67}{space 3} .0022277
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2} .0133283{col 26}{space 2} .0175399{col 37}{space 1}    0.76{col 46}{space 3}0.448{col 54}{space 4}-.0213064{col 67}{space 3}  .047963
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} .0606044{col 26}{space 2} .0062373{col 37}{space 1}    9.72{col 46}{space 3}0.000{col 54}{space 4} .0482881{col 67}{space 3} .0729207
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull = .05{p_end}

{txt}       F(  1,   163) ={res}   58.11
{txt}{col 13}Prob > F ={res}    0.0000

{p 0 7}{space 1}{text:( 1)}{space 1} treatfull = -.05{p_end}

{txt}       F(  1,   163) ={res}   25.23
{txt}{col 13}Prob > F ={res}    0.0000

{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}       187
{txt}{col 49}F({res}   8{txt},{res}    163{txt}){col 67}= {res}      0.82
{txt}{col 49}Prob > F{col 67}= {res}    0.5849
{txt}{col 49}R-squared{col 67}= {res}    0.1631
{txt}{col 49}Adj R-squared{col 67}= {res}    0.0450
{txt}{col 49}Root MSE{col 67}= {res}    0.0535

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}e_mortrat~05{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2}-.0102805{col 26}{space 2} .0079077{col 37}{space 1}   -1.30{col 46}{space 3}0.195{col 54}{space 4}-.0258953{col 67}{space 3} .0053342
{txt}b_mortrat~05 {c |}{col 14}{res}{space 2} .0712443{col 26}{space 2} .0625629{col 37}{space 1}    1.14{col 46}{space 3}0.256{col 54}{space 4} -.052294{col 67}{space 3} .1947826
{txt}c_tf~_hc_hc2 {c |}{col 14}{res}{space 2} .0049443{col 26}{space 2} .0115866{col 37}{space 1}    0.43{col 46}{space 3}0.670{col 54}{space 4} -.017935{col 67}{space 3} .0278236
{txt}c_tfull_hc~l {c |}{col 14}{res}{space 2} .0021414{col 26}{space 2} .0116084{col 37}{space 1}    0.18{col 46}{space 3}0.854{col 54}{space 4}-.0207808{col 67}{space 3} .0250636
{txt}c_tfull_hc~s {c |}{col 14}{res}{space 2}-.0060544{col 26}{space 2} .0168002{col 37}{space 1}   -0.36{col 46}{space 3}0.719{col 54}{space 4}-.0392284{col 67}{space 3} .0271197
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2}-.0366629{col 26}{space 2} .0456674{col 37}{space 1}   -0.80{col 46}{space 3}0.423{col 54}{space 4}-.1268389{col 67}{space 3}  .053513
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2} -.008413{col 26}{space 2} .0053887{col 37}{space 1}   -1.56{col 46}{space 3}0.120{col 54}{space 4}-.0190536{col 67}{space 3} .0022277
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2} .0133283{col 26}{space 2} .0175399{col 37}{space 1}    0.76{col 46}{space 3}0.448{col 54}{space 4}-.0213064{col 67}{space 3}  .047963
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} .0606044{col 26}{space 2} .0062373{col 37}{space 1}    9.72{col 46}{space 3}0.000{col 54}{space 4} .0482881{col 67}{space 3} .0729207
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull = .051{p_end}

{txt}       F(  1,   163) ={res}   60.05
{txt}{col 13}Prob > F ={res}    0.0000

{p 0 7}{space 1}{text:( 1)}{space 1} treatfull = -.051{p_end}

{txt}       F(  1,   163) ={res}   26.52
{txt}{col 13}Prob > F ={res}    0.0000

{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}       187
{txt}{col 49}F({res}   8{txt},{res}    163{txt}){col 67}= {res}      0.82
{txt}{col 49}Prob > F{col 67}= {res}    0.5849
{txt}{col 49}R-squared{col 67}= {res}    0.1631
{txt}{col 49}Adj R-squared{col 67}= {res}    0.0450
{txt}{col 49}Root MSE{col 67}= {res}    0.0535

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}e_mortrat~05{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2}-.0102805{col 26}{space 2} .0079077{col 37}{space 1}   -1.30{col 46}{space 3}0.195{col 54}{space 4}-.0258953{col 67}{space 3} .0053342
{txt}b_mortrat~05 {c |}{col 14}{res}{space 2} .0712443{col 26}{space 2} .0625629{col 37}{space 1}    1.14{col 46}{space 3}0.256{col 54}{space 4} -.052294{col 67}{space 3} .1947826
{txt}c_tf~_hc_hc2 {c |}{col 14}{res}{space 2} .0049443{col 26}{space 2} .0115866{col 37}{space 1}    0.43{col 46}{space 3}0.670{col 54}{space 4} -.017935{col 67}{space 3} .0278236
{txt}c_tfull_hc~l {c |}{col 14}{res}{space 2} .0021414{col 26}{space 2} .0116084{col 37}{space 1}    0.18{col 46}{space 3}0.854{col 54}{space 4}-.0207808{col 67}{space 3} .0250636
{txt}c_tfull_hc~s {c |}{col 14}{res}{space 2}-.0060544{col 26}{space 2} .0168002{col 37}{space 1}   -0.36{col 46}{space 3}0.719{col 54}{space 4}-.0392284{col 67}{space 3} .0271197
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2}-.0366629{col 26}{space 2} .0456674{col 37}{space 1}   -0.80{col 46}{space 3}0.423{col 54}{space 4}-.1268389{col 67}{space 3}  .053513
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2} -.008413{col 26}{space 2} .0053887{col 37}{space 1}   -1.56{col 46}{space 3}0.120{col 54}{space 4}-.0190536{col 67}{space 3} .0022277
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2} .0133283{col 26}{space 2} .0175399{col 37}{space 1}    0.76{col 46}{space 3}0.448{col 54}{space 4}-.0213064{col 67}{space 3}  .047963
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} .0606044{col 26}{space 2} .0062373{col 37}{space 1}    9.72{col 46}{space 3}0.000{col 54}{space 4} .0482881{col 67}{space 3} .0729207
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull = .052{p_end}

{txt}       F(  1,   163) ={res}   62.03
{txt}{col 13}Prob > F ={res}    0.0000

{p 0 7}{space 1}{text:( 1)}{space 1} treatfull = -.052{p_end}

{txt}       F(  1,   163) ={res}   27.83
{txt}{col 13}Prob > F ={res}    0.0000

{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}       187
{txt}{col 49}F({res}   8{txt},{res}    163{txt}){col 67}= {res}      0.82
{txt}{col 49}Prob > F{col 67}= {res}    0.5849
{txt}{col 49}R-squared{col 67}= {res}    0.1631
{txt}{col 49}Adj R-squared{col 67}= {res}    0.0450
{txt}{col 49}Root MSE{col 67}= {res}    0.0535

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}e_mortrat~05{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2}-.0102805{col 26}{space 2} .0079077{col 37}{space 1}   -1.30{col 46}{space 3}0.195{col 54}{space 4}-.0258953{col 67}{space 3} .0053342
{txt}b_mortrat~05 {c |}{col 14}{res}{space 2} .0712443{col 26}{space 2} .0625629{col 37}{space 1}    1.14{col 46}{space 3}0.256{col 54}{space 4} -.052294{col 67}{space 3} .1947826
{txt}c_tf~_hc_hc2 {c |}{col 14}{res}{space 2} .0049443{col 26}{space 2} .0115866{col 37}{space 1}    0.43{col 46}{space 3}0.670{col 54}{space 4} -.017935{col 67}{space 3} .0278236
{txt}c_tfull_hc~l {c |}{col 14}{res}{space 2} .0021414{col 26}{space 2} .0116084{col 37}{space 1}    0.18{col 46}{space 3}0.854{col 54}{space 4}-.0207808{col 67}{space 3} .0250636
{txt}c_tfull_hc~s {c |}{col 14}{res}{space 2}-.0060544{col 26}{space 2} .0168002{col 37}{space 1}   -0.36{col 46}{space 3}0.719{col 54}{space 4}-.0392284{col 67}{space 3} .0271197
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2}-.0366629{col 26}{space 2} .0456674{col 37}{space 1}   -0.80{col 46}{space 3}0.423{col 54}{space 4}-.1268389{col 67}{space 3}  .053513
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2} -.008413{col 26}{space 2} .0053887{col 37}{space 1}   -1.56{col 46}{space 3}0.120{col 54}{space 4}-.0190536{col 67}{space 3} .0022277
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2} .0133283{col 26}{space 2} .0175399{col 37}{space 1}    0.76{col 46}{space 3}0.448{col 54}{space 4}-.0213064{col 67}{space 3}  .047963
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} .0606044{col 26}{space 2} .0062373{col 37}{space 1}    9.72{col 46}{space 3}0.000{col 54}{space 4} .0482881{col 67}{space 3} .0729207
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull = .053{p_end}

{txt}       F(  1,   163) ={res}   64.04
{txt}{col 13}Prob > F ={res}    0.0000

{p 0 7}{space 1}{text:( 1)}{space 1} treatfull = -.053{p_end}

{txt}       F(  1,   163) ={res}   29.18
{txt}{col 13}Prob > F ={res}    0.0000

{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}       187
{txt}{col 49}F({res}   8{txt},{res}    163{txt}){col 67}= {res}      0.82
{txt}{col 49}Prob > F{col 67}= {res}    0.5849
{txt}{col 49}R-squared{col 67}= {res}    0.1631
{txt}{col 49}Adj R-squared{col 67}= {res}    0.0450
{txt}{col 49}Root MSE{col 67}= {res}    0.0535

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}e_mortrat~05{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2}-.0102805{col 26}{space 2} .0079077{col 37}{space 1}   -1.30{col 46}{space 3}0.195{col 54}{space 4}-.0258953{col 67}{space 3} .0053342
{txt}b_mortrat~05 {c |}{col 14}{res}{space 2} .0712443{col 26}{space 2} .0625629{col 37}{space 1}    1.14{col 46}{space 3}0.256{col 54}{space 4} -.052294{col 67}{space 3} .1947826
{txt}c_tf~_hc_hc2 {c |}{col 14}{res}{space 2} .0049443{col 26}{space 2} .0115866{col 37}{space 1}    0.43{col 46}{space 3}0.670{col 54}{space 4} -.017935{col 67}{space 3} .0278236
{txt}c_tfull_hc~l {c |}{col 14}{res}{space 2} .0021414{col 26}{space 2} .0116084{col 37}{space 1}    0.18{col 46}{space 3}0.854{col 54}{space 4}-.0207808{col 67}{space 3} .0250636
{txt}c_tfull_hc~s {c |}{col 14}{res}{space 2}-.0060544{col 26}{space 2} .0168002{col 37}{space 1}   -0.36{col 46}{space 3}0.719{col 54}{space 4}-.0392284{col 67}{space 3} .0271197
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2}-.0366629{col 26}{space 2} .0456674{col 37}{space 1}   -0.80{col 46}{space 3}0.423{col 54}{space 4}-.1268389{col 67}{space 3}  .053513
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2} -.008413{col 26}{space 2} .0053887{col 37}{space 1}   -1.56{col 46}{space 3}0.120{col 54}{space 4}-.0190536{col 67}{space 3} .0022277
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2} .0133283{col 26}{space 2} .0175399{col 37}{space 1}    0.76{col 46}{space 3}0.448{col 54}{space 4}-.0213064{col 67}{space 3}  .047963
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} .0606044{col 26}{space 2} .0062373{col 37}{space 1}    9.72{col 46}{space 3}0.000{col 54}{space 4} .0482881{col 67}{space 3} .0729207
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull = .054{p_end}

{txt}       F(  1,   163) ={res}   66.08
{txt}{col 13}Prob > F ={res}    0.0000

{p 0 7}{space 1}{text:( 1)}{space 1} treatfull = -.054{p_end}

{txt}       F(  1,   163) ={res}   30.57
{txt}{col 13}Prob > F ={res}    0.0000

{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}       187
{txt}{col 49}F({res}   8{txt},{res}    163{txt}){col 67}= {res}      0.82
{txt}{col 49}Prob > F{col 67}= {res}    0.5849
{txt}{col 49}R-squared{col 67}= {res}    0.1631
{txt}{col 49}Adj R-squared{col 67}= {res}    0.0450
{txt}{col 49}Root MSE{col 67}= {res}    0.0535

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}e_mortrat~05{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2}-.0102805{col 26}{space 2} .0079077{col 37}{space 1}   -1.30{col 46}{space 3}0.195{col 54}{space 4}-.0258953{col 67}{space 3} .0053342
{txt}b_mortrat~05 {c |}{col 14}{res}{space 2} .0712443{col 26}{space 2} .0625629{col 37}{space 1}    1.14{col 46}{space 3}0.256{col 54}{space 4} -.052294{col 67}{space 3} .1947826
{txt}c_tf~_hc_hc2 {c |}{col 14}{res}{space 2} .0049443{col 26}{space 2} .0115866{col 37}{space 1}    0.43{col 46}{space 3}0.670{col 54}{space 4} -.017935{col 67}{space 3} .0278236
{txt}c_tfull_hc~l {c |}{col 14}{res}{space 2} .0021414{col 26}{space 2} .0116084{col 37}{space 1}    0.18{col 46}{space 3}0.854{col 54}{space 4}-.0207808{col 67}{space 3} .0250636
{txt}c_tfull_hc~s {c |}{col 14}{res}{space 2}-.0060544{col 26}{space 2} .0168002{col 37}{space 1}   -0.36{col 46}{space 3}0.719{col 54}{space 4}-.0392284{col 67}{space 3} .0271197
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2}-.0366629{col 26}{space 2} .0456674{col 37}{space 1}   -0.80{col 46}{space 3}0.423{col 54}{space 4}-.1268389{col 67}{space 3}  .053513
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2} -.008413{col 26}{space 2} .0053887{col 37}{space 1}   -1.56{col 46}{space 3}0.120{col 54}{space 4}-.0190536{col 67}{space 3} .0022277
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2} .0133283{col 26}{space 2} .0175399{col 37}{space 1}    0.76{col 46}{space 3}0.448{col 54}{space 4}-.0213064{col 67}{space 3}  .047963
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} .0606044{col 26}{space 2} .0062373{col 37}{space 1}    9.72{col 46}{space 3}0.000{col 54}{space 4} .0482881{col 67}{space 3} .0729207
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull = .055{p_end}

{txt}       F(  1,   163) ={res}   68.15
{txt}{col 13}Prob > F ={res}    0.0000

{p 0 7}{space 1}{text:( 1)}{space 1} treatfull = -.055{p_end}

{txt}       F(  1,   163) ={res}   31.98
{txt}{col 13}Prob > F ={res}    0.0000

{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}       187
{txt}{col 49}F({res}   8{txt},{res}    163{txt}){col 67}= {res}      0.82
{txt}{col 49}Prob > F{col 67}= {res}    0.5849
{txt}{col 49}R-squared{col 67}= {res}    0.1631
{txt}{col 49}Adj R-squared{col 67}= {res}    0.0450
{txt}{col 49}Root MSE{col 67}= {res}    0.0535

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}e_mortrat~05{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2}-.0102805{col 26}{space 2} .0079077{col 37}{space 1}   -1.30{col 46}{space 3}0.195{col 54}{space 4}-.0258953{col 67}{space 3} .0053342
{txt}b_mortrat~05 {c |}{col 14}{res}{space 2} .0712443{col 26}{space 2} .0625629{col 37}{space 1}    1.14{col 46}{space 3}0.256{col 54}{space 4} -.052294{col 67}{space 3} .1947826
{txt}c_tf~_hc_hc2 {c |}{col 14}{res}{space 2} .0049443{col 26}{space 2} .0115866{col 37}{space 1}    0.43{col 46}{space 3}0.670{col 54}{space 4} -.017935{col 67}{space 3} .0278236
{txt}c_tfull_hc~l {c |}{col 14}{res}{space 2} .0021414{col 26}{space 2} .0116084{col 37}{space 1}    0.18{col 46}{space 3}0.854{col 54}{space 4}-.0207808{col 67}{space 3} .0250636
{txt}c_tfull_hc~s {c |}{col 14}{res}{space 2}-.0060544{col 26}{space 2} .0168002{col 37}{space 1}   -0.36{col 46}{space 3}0.719{col 54}{space 4}-.0392284{col 67}{space 3} .0271197
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2}-.0366629{col 26}{space 2} .0456674{col 37}{space 1}   -0.80{col 46}{space 3}0.423{col 54}{space 4}-.1268389{col 67}{space 3}  .053513
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2} -.008413{col 26}{space 2} .0053887{col 37}{space 1}   -1.56{col 46}{space 3}0.120{col 54}{space 4}-.0190536{col 67}{space 3} .0022277
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2} .0133283{col 26}{space 2} .0175399{col 37}{space 1}    0.76{col 46}{space 3}0.448{col 54}{space 4}-.0213064{col 67}{space 3}  .047963
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} .0606044{col 26}{space 2} .0062373{col 37}{space 1}    9.72{col 46}{space 3}0.000{col 54}{space 4} .0482881{col 67}{space 3} .0729207
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull = .056{p_end}

{txt}       F(  1,   163) ={res}   70.25
{txt}{col 13}Prob > F ={res}    0.0000

{p 0 7}{space 1}{text:( 1)}{space 1} treatfull = -.056{p_end}

{txt}       F(  1,   163) ={res}   33.43
{txt}{col 13}Prob > F ={res}    0.0000

{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}       187
{txt}{col 49}F({res}   8{txt},{res}    163{txt}){col 67}= {res}      0.82
{txt}{col 49}Prob > F{col 67}= {res}    0.5849
{txt}{col 49}R-squared{col 67}= {res}    0.1631
{txt}{col 49}Adj R-squared{col 67}= {res}    0.0450
{txt}{col 49}Root MSE{col 67}= {res}    0.0535

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}e_mortrat~05{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2}-.0102805{col 26}{space 2} .0079077{col 37}{space 1}   -1.30{col 46}{space 3}0.195{col 54}{space 4}-.0258953{col 67}{space 3} .0053342
{txt}b_mortrat~05 {c |}{col 14}{res}{space 2} .0712443{col 26}{space 2} .0625629{col 37}{space 1}    1.14{col 46}{space 3}0.256{col 54}{space 4} -.052294{col 67}{space 3} .1947826
{txt}c_tf~_hc_hc2 {c |}{col 14}{res}{space 2} .0049443{col 26}{space 2} .0115866{col 37}{space 1}    0.43{col 46}{space 3}0.670{col 54}{space 4} -.017935{col 67}{space 3} .0278236
{txt}c_tfull_hc~l {c |}{col 14}{res}{space 2} .0021414{col 26}{space 2} .0116084{col 37}{space 1}    0.18{col 46}{space 3}0.854{col 54}{space 4}-.0207808{col 67}{space 3} .0250636
{txt}c_tfull_hc~s {c |}{col 14}{res}{space 2}-.0060544{col 26}{space 2} .0168002{col 37}{space 1}   -0.36{col 46}{space 3}0.719{col 54}{space 4}-.0392284{col 67}{space 3} .0271197
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2}-.0366629{col 26}{space 2} .0456674{col 37}{space 1}   -0.80{col 46}{space 3}0.423{col 54}{space 4}-.1268389{col 67}{space 3}  .053513
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2} -.008413{col 26}{space 2} .0053887{col 37}{space 1}   -1.56{col 46}{space 3}0.120{col 54}{space 4}-.0190536{col 67}{space 3} .0022277
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2} .0133283{col 26}{space 2} .0175399{col 37}{space 1}    0.76{col 46}{space 3}0.448{col 54}{space 4}-.0213064{col 67}{space 3}  .047963
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} .0606044{col 26}{space 2} .0062373{col 37}{space 1}    9.72{col 46}{space 3}0.000{col 54}{space 4} .0482881{col 67}{space 3} .0729207
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull = .057{p_end}

{txt}       F(  1,   163) ={res}   72.39
{txt}{col 13}Prob > F ={res}    0.0000

{p 0 7}{space 1}{text:( 1)}{space 1} treatfull = -.057{p_end}

{txt}       F(  1,   163) ={res}   34.91
{txt}{col 13}Prob > F ={res}    0.0000

{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}       187
{txt}{col 49}F({res}   8{txt},{res}    163{txt}){col 67}= {res}      0.82
{txt}{col 49}Prob > F{col 67}= {res}    0.5849
{txt}{col 49}R-squared{col 67}= {res}    0.1631
{txt}{col 49}Adj R-squared{col 67}= {res}    0.0450
{txt}{col 49}Root MSE{col 67}= {res}    0.0535

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}e_mortrat~05{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2}-.0102805{col 26}{space 2} .0079077{col 37}{space 1}   -1.30{col 46}{space 3}0.195{col 54}{space 4}-.0258953{col 67}{space 3} .0053342
{txt}b_mortrat~05 {c |}{col 14}{res}{space 2} .0712443{col 26}{space 2} .0625629{col 37}{space 1}    1.14{col 46}{space 3}0.256{col 54}{space 4} -.052294{col 67}{space 3} .1947826
{txt}c_tf~_hc_hc2 {c |}{col 14}{res}{space 2} .0049443{col 26}{space 2} .0115866{col 37}{space 1}    0.43{col 46}{space 3}0.670{col 54}{space 4} -.017935{col 67}{space 3} .0278236
{txt}c_tfull_hc~l {c |}{col 14}{res}{space 2} .0021414{col 26}{space 2} .0116084{col 37}{space 1}    0.18{col 46}{space 3}0.854{col 54}{space 4}-.0207808{col 67}{space 3} .0250636
{txt}c_tfull_hc~s {c |}{col 14}{res}{space 2}-.0060544{col 26}{space 2} .0168002{col 37}{space 1}   -0.36{col 46}{space 3}0.719{col 54}{space 4}-.0392284{col 67}{space 3} .0271197
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2}-.0366629{col 26}{space 2} .0456674{col 37}{space 1}   -0.80{col 46}{space 3}0.423{col 54}{space 4}-.1268389{col 67}{space 3}  .053513
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2} -.008413{col 26}{space 2} .0053887{col 37}{space 1}   -1.56{col 46}{space 3}0.120{col 54}{space 4}-.0190536{col 67}{space 3} .0022277
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2} .0133283{col 26}{space 2} .0175399{col 37}{space 1}    0.76{col 46}{space 3}0.448{col 54}{space 4}-.0213064{col 67}{space 3}  .047963
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} .0606044{col 26}{space 2} .0062373{col 37}{space 1}    9.72{col 46}{space 3}0.000{col 54}{space 4} .0482881{col 67}{space 3} .0729207
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull = .058{p_end}

{txt}       F(  1,   163) ={res}   74.56
{txt}{col 13}Prob > F ={res}    0.0000

{p 0 7}{space 1}{text:( 1)}{space 1} treatfull = -.058{p_end}

{txt}       F(  1,   163) ={res}   36.42
{txt}{col 13}Prob > F ={res}    0.0000

{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}       187
{txt}{col 49}F({res}   8{txt},{res}    163{txt}){col 67}= {res}      0.82
{txt}{col 49}Prob > F{col 67}= {res}    0.5849
{txt}{col 49}R-squared{col 67}= {res}    0.1631
{txt}{col 49}Adj R-squared{col 67}= {res}    0.0450
{txt}{col 49}Root MSE{col 67}= {res}    0.0535

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}e_mortrat~05{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2}-.0102805{col 26}{space 2} .0079077{col 37}{space 1}   -1.30{col 46}{space 3}0.195{col 54}{space 4}-.0258953{col 67}{space 3} .0053342
{txt}b_mortrat~05 {c |}{col 14}{res}{space 2} .0712443{col 26}{space 2} .0625629{col 37}{space 1}    1.14{col 46}{space 3}0.256{col 54}{space 4} -.052294{col 67}{space 3} .1947826
{txt}c_tf~_hc_hc2 {c |}{col 14}{res}{space 2} .0049443{col 26}{space 2} .0115866{col 37}{space 1}    0.43{col 46}{space 3}0.670{col 54}{space 4} -.017935{col 67}{space 3} .0278236
{txt}c_tfull_hc~l {c |}{col 14}{res}{space 2} .0021414{col 26}{space 2} .0116084{col 37}{space 1}    0.18{col 46}{space 3}0.854{col 54}{space 4}-.0207808{col 67}{space 3} .0250636
{txt}c_tfull_hc~s {c |}{col 14}{res}{space 2}-.0060544{col 26}{space 2} .0168002{col 37}{space 1}   -0.36{col 46}{space 3}0.719{col 54}{space 4}-.0392284{col 67}{space 3} .0271197
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2}-.0366629{col 26}{space 2} .0456674{col 37}{space 1}   -0.80{col 46}{space 3}0.423{col 54}{space 4}-.1268389{col 67}{space 3}  .053513
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2} -.008413{col 26}{space 2} .0053887{col 37}{space 1}   -1.56{col 46}{space 3}0.120{col 54}{space 4}-.0190536{col 67}{space 3} .0022277
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2} .0133283{col 26}{space 2} .0175399{col 37}{space 1}    0.76{col 46}{space 3}0.448{col 54}{space 4}-.0213064{col 67}{space 3}  .047963
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} .0606044{col 26}{space 2} .0062373{col 37}{space 1}    9.72{col 46}{space 3}0.000{col 54}{space 4} .0482881{col 67}{space 3} .0729207
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull = .059{p_end}

{txt}       F(  1,   163) ={res}   76.76
{txt}{col 13}Prob > F ={res}    0.0000

{p 0 7}{space 1}{text:( 1)}{space 1} treatfull = -.059{p_end}

{txt}       F(  1,   163) ={res}   37.96
{txt}{col 13}Prob > F ={res}    0.0000

{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}       187
{txt}{col 49}F({res}   8{txt},{res}    163{txt}){col 67}= {res}      0.82
{txt}{col 49}Prob > F{col 67}= {res}    0.5849
{txt}{col 49}R-squared{col 67}= {res}    0.1631
{txt}{col 49}Adj R-squared{col 67}= {res}    0.0450
{txt}{col 49}Root MSE{col 67}= {res}    0.0535

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}e_mortrat~05{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2}-.0102805{col 26}{space 2} .0079077{col 37}{space 1}   -1.30{col 46}{space 3}0.195{col 54}{space 4}-.0258953{col 67}{space 3} .0053342
{txt}b_mortrat~05 {c |}{col 14}{res}{space 2} .0712443{col 26}{space 2} .0625629{col 37}{space 1}    1.14{col 46}{space 3}0.256{col 54}{space 4} -.052294{col 67}{space 3} .1947826
{txt}c_tf~_hc_hc2 {c |}{col 14}{res}{space 2} .0049443{col 26}{space 2} .0115866{col 37}{space 1}    0.43{col 46}{space 3}0.670{col 54}{space 4} -.017935{col 67}{space 3} .0278236
{txt}c_tfull_hc~l {c |}{col 14}{res}{space 2} .0021414{col 26}{space 2} .0116084{col 37}{space 1}    0.18{col 46}{space 3}0.854{col 54}{space 4}-.0207808{col 67}{space 3} .0250636
{txt}c_tfull_hc~s {c |}{col 14}{res}{space 2}-.0060544{col 26}{space 2} .0168002{col 37}{space 1}   -0.36{col 46}{space 3}0.719{col 54}{space 4}-.0392284{col 67}{space 3} .0271197
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2}-.0366629{col 26}{space 2} .0456674{col 37}{space 1}   -0.80{col 46}{space 3}0.423{col 54}{space 4}-.1268389{col 67}{space 3}  .053513
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2} -.008413{col 26}{space 2} .0053887{col 37}{space 1}   -1.56{col 46}{space 3}0.120{col 54}{space 4}-.0190536{col 67}{space 3} .0022277
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2} .0133283{col 26}{space 2} .0175399{col 37}{space 1}    0.76{col 46}{space 3}0.448{col 54}{space 4}-.0213064{col 67}{space 3}  .047963
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} .0606044{col 26}{space 2} .0062373{col 37}{space 1}    9.72{col 46}{space 3}0.000{col 54}{space 4} .0482881{col 67}{space 3} .0729207
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull = .06{p_end}

{txt}       F(  1,   163) ={res}   78.99
{txt}{col 13}Prob > F ={res}    0.0000

{p 0 7}{space 1}{text:( 1)}{space 1} treatfull = -.06{p_end}

{txt}       F(  1,   163) ={res}   39.53
{txt}{col 13}Prob > F ={res}    0.0000

{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}       187
{txt}{col 49}F({res}   8{txt},{res}    163{txt}){col 67}= {res}      0.82
{txt}{col 49}Prob > F{col 67}= {res}    0.5849
{txt}{col 49}R-squared{col 67}= {res}    0.1631
{txt}{col 49}Adj R-squared{col 67}= {res}    0.0450
{txt}{col 49}Root MSE{col 67}= {res}    0.0535

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}e_mortrat~05{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2}-.0102805{col 26}{space 2} .0079077{col 37}{space 1}   -1.30{col 46}{space 3}0.195{col 54}{space 4}-.0258953{col 67}{space 3} .0053342
{txt}b_mortrat~05 {c |}{col 14}{res}{space 2} .0712443{col 26}{space 2} .0625629{col 37}{space 1}    1.14{col 46}{space 3}0.256{col 54}{space 4} -.052294{col 67}{space 3} .1947826
{txt}c_tf~_hc_hc2 {c |}{col 14}{res}{space 2} .0049443{col 26}{space 2} .0115866{col 37}{space 1}    0.43{col 46}{space 3}0.670{col 54}{space 4} -.017935{col 67}{space 3} .0278236
{txt}c_tfull_hc~l {c |}{col 14}{res}{space 2} .0021414{col 26}{space 2} .0116084{col 37}{space 1}    0.18{col 46}{space 3}0.854{col 54}{space 4}-.0207808{col 67}{space 3} .0250636
{txt}c_tfull_hc~s {c |}{col 14}{res}{space 2}-.0060544{col 26}{space 2} .0168002{col 37}{space 1}   -0.36{col 46}{space 3}0.719{col 54}{space 4}-.0392284{col 67}{space 3} .0271197
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2}-.0366629{col 26}{space 2} .0456674{col 37}{space 1}   -0.80{col 46}{space 3}0.423{col 54}{space 4}-.1268389{col 67}{space 3}  .053513
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2} -.008413{col 26}{space 2} .0053887{col 37}{space 1}   -1.56{col 46}{space 3}0.120{col 54}{space 4}-.0190536{col 67}{space 3} .0022277
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2} .0133283{col 26}{space 2} .0175399{col 37}{space 1}    0.76{col 46}{space 3}0.448{col 54}{space 4}-.0213064{col 67}{space 3}  .047963
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} .0606044{col 26}{space 2} .0062373{col 37}{space 1}    9.72{col 46}{space 3}0.000{col 54}{space 4} .0482881{col 67}{space 3} .0729207
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull = .061{p_end}

{txt}       F(  1,   163) ={res}   81.25
{txt}{col 13}Prob > F ={res}    0.0000

{p 0 7}{space 1}{text:( 1)}{space 1} treatfull = -.061{p_end}

{txt}       F(  1,   163) ={res}   41.14
{txt}{col 13}Prob > F ={res}    0.0000

{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}       187
{txt}{col 49}F({res}   8{txt},{res}    163{txt}){col 67}= {res}      0.82
{txt}{col 49}Prob > F{col 67}= {res}    0.5849
{txt}{col 49}R-squared{col 67}= {res}    0.1631
{txt}{col 49}Adj R-squared{col 67}= {res}    0.0450
{txt}{col 49}Root MSE{col 67}= {res}    0.0535

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}e_mortrat~05{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2}-.0102805{col 26}{space 2} .0079077{col 37}{space 1}   -1.30{col 46}{space 3}0.195{col 54}{space 4}-.0258953{col 67}{space 3} .0053342
{txt}b_mortrat~05 {c |}{col 14}{res}{space 2} .0712443{col 26}{space 2} .0625629{col 37}{space 1}    1.14{col 46}{space 3}0.256{col 54}{space 4} -.052294{col 67}{space 3} .1947826
{txt}c_tf~_hc_hc2 {c |}{col 14}{res}{space 2} .0049443{col 26}{space 2} .0115866{col 37}{space 1}    0.43{col 46}{space 3}0.670{col 54}{space 4} -.017935{col 67}{space 3} .0278236
{txt}c_tfull_hc~l {c |}{col 14}{res}{space 2} .0021414{col 26}{space 2} .0116084{col 37}{space 1}    0.18{col 46}{space 3}0.854{col 54}{space 4}-.0207808{col 67}{space 3} .0250636
{txt}c_tfull_hc~s {c |}{col 14}{res}{space 2}-.0060544{col 26}{space 2} .0168002{col 37}{space 1}   -0.36{col 46}{space 3}0.719{col 54}{space 4}-.0392284{col 67}{space 3} .0271197
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2}-.0366629{col 26}{space 2} .0456674{col 37}{space 1}   -0.80{col 46}{space 3}0.423{col 54}{space 4}-.1268389{col 67}{space 3}  .053513
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2} -.008413{col 26}{space 2} .0053887{col 37}{space 1}   -1.56{col 46}{space 3}0.120{col 54}{space 4}-.0190536{col 67}{space 3} .0022277
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2} .0133283{col 26}{space 2} .0175399{col 37}{space 1}    0.76{col 46}{space 3}0.448{col 54}{space 4}-.0213064{col 67}{space 3}  .047963
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} .0606044{col 26}{space 2} .0062373{col 37}{space 1}    9.72{col 46}{space 3}0.000{col 54}{space 4} .0482881{col 67}{space 3} .0729207
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull = .062{p_end}

{txt}       F(  1,   163) ={res}   83.55
{txt}{col 13}Prob > F ={res}    0.0000

{p 0 7}{space 1}{text:( 1)}{space 1} treatfull = -.062{p_end}

{txt}       F(  1,   163) ={res}   42.78
{txt}{col 13}Prob > F ={res}    0.0000

{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}       187
{txt}{col 49}F({res}   8{txt},{res}    163{txt}){col 67}= {res}      0.82
{txt}{col 49}Prob > F{col 67}= {res}    0.5849
{txt}{col 49}R-squared{col 67}= {res}    0.1631
{txt}{col 49}Adj R-squared{col 67}= {res}    0.0450
{txt}{col 49}Root MSE{col 67}= {res}    0.0535

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}e_mortrat~05{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2}-.0102805{col 26}{space 2} .0079077{col 37}{space 1}   -1.30{col 46}{space 3}0.195{col 54}{space 4}-.0258953{col 67}{space 3} .0053342
{txt}b_mortrat~05 {c |}{col 14}{res}{space 2} .0712443{col 26}{space 2} .0625629{col 37}{space 1}    1.14{col 46}{space 3}0.256{col 54}{space 4} -.052294{col 67}{space 3} .1947826
{txt}c_tf~_hc_hc2 {c |}{col 14}{res}{space 2} .0049443{col 26}{space 2} .0115866{col 37}{space 1}    0.43{col 46}{space 3}0.670{col 54}{space 4} -.017935{col 67}{space 3} .0278236
{txt}c_tfull_hc~l {c |}{col 14}{res}{space 2} .0021414{col 26}{space 2} .0116084{col 37}{space 1}    0.18{col 46}{space 3}0.854{col 54}{space 4}-.0207808{col 67}{space 3} .0250636
{txt}c_tfull_hc~s {c |}{col 14}{res}{space 2}-.0060544{col 26}{space 2} .0168002{col 37}{space 1}   -0.36{col 46}{space 3}0.719{col 54}{space 4}-.0392284{col 67}{space 3} .0271197
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2}-.0366629{col 26}{space 2} .0456674{col 37}{space 1}   -0.80{col 46}{space 3}0.423{col 54}{space 4}-.1268389{col 67}{space 3}  .053513
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2} -.008413{col 26}{space 2} .0053887{col 37}{space 1}   -1.56{col 46}{space 3}0.120{col 54}{space 4}-.0190536{col 67}{space 3} .0022277
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2} .0133283{col 26}{space 2} .0175399{col 37}{space 1}    0.76{col 46}{space 3}0.448{col 54}{space 4}-.0213064{col 67}{space 3}  .047963
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} .0606044{col 26}{space 2} .0062373{col 37}{space 1}    9.72{col 46}{space 3}0.000{col 54}{space 4} .0482881{col 67}{space 3} .0729207
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull = .063{p_end}

{txt}       F(  1,   163) ={res}   85.88
{txt}{col 13}Prob > F ={res}    0.0000

{p 0 7}{space 1}{text:( 1)}{space 1} treatfull = -.063{p_end}

{txt}       F(  1,   163) ={res}   44.45
{txt}{col 13}Prob > F ={res}    0.0000

{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}       187
{txt}{col 49}F({res}   8{txt},{res}    163{txt}){col 67}= {res}      0.82
{txt}{col 49}Prob > F{col 67}= {res}    0.5849
{txt}{col 49}R-squared{col 67}= {res}    0.1631
{txt}{col 49}Adj R-squared{col 67}= {res}    0.0450
{txt}{col 49}Root MSE{col 67}= {res}    0.0535

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}e_mortrat~05{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2}-.0102805{col 26}{space 2} .0079077{col 37}{space 1}   -1.30{col 46}{space 3}0.195{col 54}{space 4}-.0258953{col 67}{space 3} .0053342
{txt}b_mortrat~05 {c |}{col 14}{res}{space 2} .0712443{col 26}{space 2} .0625629{col 37}{space 1}    1.14{col 46}{space 3}0.256{col 54}{space 4} -.052294{col 67}{space 3} .1947826
{txt}c_tf~_hc_hc2 {c |}{col 14}{res}{space 2} .0049443{col 26}{space 2} .0115866{col 37}{space 1}    0.43{col 46}{space 3}0.670{col 54}{space 4} -.017935{col 67}{space 3} .0278236
{txt}c_tfull_hc~l {c |}{col 14}{res}{space 2} .0021414{col 26}{space 2} .0116084{col 37}{space 1}    0.18{col 46}{space 3}0.854{col 54}{space 4}-.0207808{col 67}{space 3} .0250636
{txt}c_tfull_hc~s {c |}{col 14}{res}{space 2}-.0060544{col 26}{space 2} .0168002{col 37}{space 1}   -0.36{col 46}{space 3}0.719{col 54}{space 4}-.0392284{col 67}{space 3} .0271197
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2}-.0366629{col 26}{space 2} .0456674{col 37}{space 1}   -0.80{col 46}{space 3}0.423{col 54}{space 4}-.1268389{col 67}{space 3}  .053513
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2} -.008413{col 26}{space 2} .0053887{col 37}{space 1}   -1.56{col 46}{space 3}0.120{col 54}{space 4}-.0190536{col 67}{space 3} .0022277
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2} .0133283{col 26}{space 2} .0175399{col 37}{space 1}    0.76{col 46}{space 3}0.448{col 54}{space 4}-.0213064{col 67}{space 3}  .047963
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} .0606044{col 26}{space 2} .0062373{col 37}{space 1}    9.72{col 46}{space 3}0.000{col 54}{space 4} .0482881{col 67}{space 3} .0729207
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull = .064{p_end}

{txt}       F(  1,   163) ={res}   88.24
{txt}{col 13}Prob > F ={res}    0.0000

{p 0 7}{space 1}{text:( 1)}{space 1} treatfull = -.064{p_end}

{txt}       F(  1,   163) ={res}   46.15
{txt}{col 13}Prob > F ={res}    0.0000

{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}       187
{txt}{col 49}F({res}   8{txt},{res}    163{txt}){col 67}= {res}      0.82
{txt}{col 49}Prob > F{col 67}= {res}    0.5849
{txt}{col 49}R-squared{col 67}= {res}    0.1631
{txt}{col 49}Adj R-squared{col 67}= {res}    0.0450
{txt}{col 49}Root MSE{col 67}= {res}    0.0535

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}e_mortrat~05{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2}-.0102805{col 26}{space 2} .0079077{col 37}{space 1}   -1.30{col 46}{space 3}0.195{col 54}{space 4}-.0258953{col 67}{space 3} .0053342
{txt}b_mortrat~05 {c |}{col 14}{res}{space 2} .0712443{col 26}{space 2} .0625629{col 37}{space 1}    1.14{col 46}{space 3}0.256{col 54}{space 4} -.052294{col 67}{space 3} .1947826
{txt}c_tf~_hc_hc2 {c |}{col 14}{res}{space 2} .0049443{col 26}{space 2} .0115866{col 37}{space 1}    0.43{col 46}{space 3}0.670{col 54}{space 4} -.017935{col 67}{space 3} .0278236
{txt}c_tfull_hc~l {c |}{col 14}{res}{space 2} .0021414{col 26}{space 2} .0116084{col 37}{space 1}    0.18{col 46}{space 3}0.854{col 54}{space 4}-.0207808{col 67}{space 3} .0250636
{txt}c_tfull_hc~s {c |}{col 14}{res}{space 2}-.0060544{col 26}{space 2} .0168002{col 37}{space 1}   -0.36{col 46}{space 3}0.719{col 54}{space 4}-.0392284{col 67}{space 3} .0271197
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2}-.0366629{col 26}{space 2} .0456674{col 37}{space 1}   -0.80{col 46}{space 3}0.423{col 54}{space 4}-.1268389{col 67}{space 3}  .053513
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2} -.008413{col 26}{space 2} .0053887{col 37}{space 1}   -1.56{col 46}{space 3}0.120{col 54}{space 4}-.0190536{col 67}{space 3} .0022277
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2} .0133283{col 26}{space 2} .0175399{col 37}{space 1}    0.76{col 46}{space 3}0.448{col 54}{space 4}-.0213064{col 67}{space 3}  .047963
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} .0606044{col 26}{space 2} .0062373{col 37}{space 1}    9.72{col 46}{space 3}0.000{col 54}{space 4} .0482881{col 67}{space 3} .0729207
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull = .065{p_end}

{txt}       F(  1,   163) ={res}   90.63
{txt}{col 13}Prob > F ={res}    0.0000

{p 0 7}{space 1}{text:( 1)}{space 1} treatfull = -.065{p_end}

{txt}       F(  1,   163) ={res}   47.88
{txt}{col 13}Prob > F ={res}    0.0000

{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}       187
{txt}{col 49}F({res}   8{txt},{res}    163{txt}){col 67}= {res}      0.82
{txt}{col 49}Prob > F{col 67}= {res}    0.5849
{txt}{col 49}R-squared{col 67}= {res}    0.1631
{txt}{col 49}Adj R-squared{col 67}= {res}    0.0450
{txt}{col 49}Root MSE{col 67}= {res}    0.0535

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}e_mortrat~05{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2}-.0102805{col 26}{space 2} .0079077{col 37}{space 1}   -1.30{col 46}{space 3}0.195{col 54}{space 4}-.0258953{col 67}{space 3} .0053342
{txt}b_mortrat~05 {c |}{col 14}{res}{space 2} .0712443{col 26}{space 2} .0625629{col 37}{space 1}    1.14{col 46}{space 3}0.256{col 54}{space 4} -.052294{col 67}{space 3} .1947826
{txt}c_tf~_hc_hc2 {c |}{col 14}{res}{space 2} .0049443{col 26}{space 2} .0115866{col 37}{space 1}    0.43{col 46}{space 3}0.670{col 54}{space 4} -.017935{col 67}{space 3} .0278236
{txt}c_tfull_hc~l {c |}{col 14}{res}{space 2} .0021414{col 26}{space 2} .0116084{col 37}{space 1}    0.18{col 46}{space 3}0.854{col 54}{space 4}-.0207808{col 67}{space 3} .0250636
{txt}c_tfull_hc~s {c |}{col 14}{res}{space 2}-.0060544{col 26}{space 2} .0168002{col 37}{space 1}   -0.36{col 46}{space 3}0.719{col 54}{space 4}-.0392284{col 67}{space 3} .0271197
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2}-.0366629{col 26}{space 2} .0456674{col 37}{space 1}   -0.80{col 46}{space 3}0.423{col 54}{space 4}-.1268389{col 67}{space 3}  .053513
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2} -.008413{col 26}{space 2} .0053887{col 37}{space 1}   -1.56{col 46}{space 3}0.120{col 54}{space 4}-.0190536{col 67}{space 3} .0022277
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2} .0133283{col 26}{space 2} .0175399{col 37}{space 1}    0.76{col 46}{space 3}0.448{col 54}{space 4}-.0213064{col 67}{space 3}  .047963
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} .0606044{col 26}{space 2} .0062373{col 37}{space 1}    9.72{col 46}{space 3}0.000{col 54}{space 4} .0482881{col 67}{space 3} .0729207
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull = .066{p_end}

{txt}       F(  1,   163) ={res}   93.05
{txt}{col 13}Prob > F ={res}    0.0000

{p 0 7}{space 1}{text:( 1)}{space 1} treatfull = -.066{p_end}

{txt}       F(  1,   163) ={res}   49.65
{txt}{col 13}Prob > F ={res}    0.0000

{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}       187
{txt}{col 49}F({res}   8{txt},{res}    163{txt}){col 67}= {res}      0.82
{txt}{col 49}Prob > F{col 67}= {res}    0.5849
{txt}{col 49}R-squared{col 67}= {res}    0.1631
{txt}{col 49}Adj R-squared{col 67}= {res}    0.0450
{txt}{col 49}Root MSE{col 67}= {res}    0.0535

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}e_mortrat~05{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2}-.0102805{col 26}{space 2} .0079077{col 37}{space 1}   -1.30{col 46}{space 3}0.195{col 54}{space 4}-.0258953{col 67}{space 3} .0053342
{txt}b_mortrat~05 {c |}{col 14}{res}{space 2} .0712443{col 26}{space 2} .0625629{col 37}{space 1}    1.14{col 46}{space 3}0.256{col 54}{space 4} -.052294{col 67}{space 3} .1947826
{txt}c_tf~_hc_hc2 {c |}{col 14}{res}{space 2} .0049443{col 26}{space 2} .0115866{col 37}{space 1}    0.43{col 46}{space 3}0.670{col 54}{space 4} -.017935{col 67}{space 3} .0278236
{txt}c_tfull_hc~l {c |}{col 14}{res}{space 2} .0021414{col 26}{space 2} .0116084{col 37}{space 1}    0.18{col 46}{space 3}0.854{col 54}{space 4}-.0207808{col 67}{space 3} .0250636
{txt}c_tfull_hc~s {c |}{col 14}{res}{space 2}-.0060544{col 26}{space 2} .0168002{col 37}{space 1}   -0.36{col 46}{space 3}0.719{col 54}{space 4}-.0392284{col 67}{space 3} .0271197
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2}-.0366629{col 26}{space 2} .0456674{col 37}{space 1}   -0.80{col 46}{space 3}0.423{col 54}{space 4}-.1268389{col 67}{space 3}  .053513
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2} -.008413{col 26}{space 2} .0053887{col 37}{space 1}   -1.56{col 46}{space 3}0.120{col 54}{space 4}-.0190536{col 67}{space 3} .0022277
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2} .0133283{col 26}{space 2} .0175399{col 37}{space 1}    0.76{col 46}{space 3}0.448{col 54}{space 4}-.0213064{col 67}{space 3}  .047963
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} .0606044{col 26}{space 2} .0062373{col 37}{space 1}    9.72{col 46}{space 3}0.000{col 54}{space 4} .0482881{col 67}{space 3} .0729207
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull = .067{p_end}

{txt}       F(  1,   163) ={res}   95.51
{txt}{col 13}Prob > F ={res}    0.0000

{p 0 7}{space 1}{text:( 1)}{space 1} treatfull = -.067{p_end}

{txt}       F(  1,   163) ={res}   51.45
{txt}{col 13}Prob > F ={res}    0.0000

{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}       187
{txt}{col 49}F({res}   8{txt},{res}    163{txt}){col 67}= {res}      0.82
{txt}{col 49}Prob > F{col 67}= {res}    0.5849
{txt}{col 49}R-squared{col 67}= {res}    0.1631
{txt}{col 49}Adj R-squared{col 67}= {res}    0.0450
{txt}{col 49}Root MSE{col 67}= {res}    0.0535

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}e_mortrat~05{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2}-.0102805{col 26}{space 2} .0079077{col 37}{space 1}   -1.30{col 46}{space 3}0.195{col 54}{space 4}-.0258953{col 67}{space 3} .0053342
{txt}b_mortrat~05 {c |}{col 14}{res}{space 2} .0712443{col 26}{space 2} .0625629{col 37}{space 1}    1.14{col 46}{space 3}0.256{col 54}{space 4} -.052294{col 67}{space 3} .1947826
{txt}c_tf~_hc_hc2 {c |}{col 14}{res}{space 2} .0049443{col 26}{space 2} .0115866{col 37}{space 1}    0.43{col 46}{space 3}0.670{col 54}{space 4} -.017935{col 67}{space 3} .0278236
{txt}c_tfull_hc~l {c |}{col 14}{res}{space 2} .0021414{col 26}{space 2} .0116084{col 37}{space 1}    0.18{col 46}{space 3}0.854{col 54}{space 4}-.0207808{col 67}{space 3} .0250636
{txt}c_tfull_hc~s {c |}{col 14}{res}{space 2}-.0060544{col 26}{space 2} .0168002{col 37}{space 1}   -0.36{col 46}{space 3}0.719{col 54}{space 4}-.0392284{col 67}{space 3} .0271197
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2}-.0366629{col 26}{space 2} .0456674{col 37}{space 1}   -0.80{col 46}{space 3}0.423{col 54}{space 4}-.1268389{col 67}{space 3}  .053513
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2} -.008413{col 26}{space 2} .0053887{col 37}{space 1}   -1.56{col 46}{space 3}0.120{col 54}{space 4}-.0190536{col 67}{space 3} .0022277
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2} .0133283{col 26}{space 2} .0175399{col 37}{space 1}    0.76{col 46}{space 3}0.448{col 54}{space 4}-.0213064{col 67}{space 3}  .047963
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} .0606044{col 26}{space 2} .0062373{col 37}{space 1}    9.72{col 46}{space 3}0.000{col 54}{space 4} .0482881{col 67}{space 3} .0729207
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull = .068{p_end}

{txt}       F(  1,   163) ={res}   98.00
{txt}{col 13}Prob > F ={res}    0.0000

{p 0 7}{space 1}{text:( 1)}{space 1} treatfull = -.068{p_end}

{txt}       F(  1,   163) ={res}   53.28
{txt}{col 13}Prob > F ={res}    0.0000

{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}       187
{txt}{col 49}F({res}   8{txt},{res}    163{txt}){col 67}= {res}      0.82
{txt}{col 49}Prob > F{col 67}= {res}    0.5849
{txt}{col 49}R-squared{col 67}= {res}    0.1631
{txt}{col 49}Adj R-squared{col 67}= {res}    0.0450
{txt}{col 49}Root MSE{col 67}= {res}    0.0535

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}e_mortrat~05{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2}-.0102805{col 26}{space 2} .0079077{col 37}{space 1}   -1.30{col 46}{space 3}0.195{col 54}{space 4}-.0258953{col 67}{space 3} .0053342
{txt}b_mortrat~05 {c |}{col 14}{res}{space 2} .0712443{col 26}{space 2} .0625629{col 37}{space 1}    1.14{col 46}{space 3}0.256{col 54}{space 4} -.052294{col 67}{space 3} .1947826
{txt}c_tf~_hc_hc2 {c |}{col 14}{res}{space 2} .0049443{col 26}{space 2} .0115866{col 37}{space 1}    0.43{col 46}{space 3}0.670{col 54}{space 4} -.017935{col 67}{space 3} .0278236
{txt}c_tfull_hc~l {c |}{col 14}{res}{space 2} .0021414{col 26}{space 2} .0116084{col 37}{space 1}    0.18{col 46}{space 3}0.854{col 54}{space 4}-.0207808{col 67}{space 3} .0250636
{txt}c_tfull_hc~s {c |}{col 14}{res}{space 2}-.0060544{col 26}{space 2} .0168002{col 37}{space 1}   -0.36{col 46}{space 3}0.719{col 54}{space 4}-.0392284{col 67}{space 3} .0271197
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2}-.0366629{col 26}{space 2} .0456674{col 37}{space 1}   -0.80{col 46}{space 3}0.423{col 54}{space 4}-.1268389{col 67}{space 3}  .053513
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2} -.008413{col 26}{space 2} .0053887{col 37}{space 1}   -1.56{col 46}{space 3}0.120{col 54}{space 4}-.0190536{col 67}{space 3} .0022277
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2} .0133283{col 26}{space 2} .0175399{col 37}{space 1}    0.76{col 46}{space 3}0.448{col 54}{space 4}-.0213064{col 67}{space 3}  .047963
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} .0606044{col 26}{space 2} .0062373{col 37}{space 1}    9.72{col 46}{space 3}0.000{col 54}{space 4} .0482881{col 67}{space 3} .0729207
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull = .069{p_end}

{txt}       F(  1,   163) ={res}  100.52
{txt}{col 13}Prob > F ={res}    0.0000

{p 0 7}{space 1}{text:( 1)}{space 1} treatfull = -.069{p_end}

{txt}       F(  1,   163) ={res}   55.14
{txt}{col 13}Prob > F ={res}    0.0000

{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}       187
{txt}{col 49}F({res}   8{txt},{res}    163{txt}){col 67}= {res}      0.82
{txt}{col 49}Prob > F{col 67}= {res}    0.5849
{txt}{col 49}R-squared{col 67}= {res}    0.1631
{txt}{col 49}Adj R-squared{col 67}= {res}    0.0450
{txt}{col 49}Root MSE{col 67}= {res}    0.0535

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}e_mortrat~05{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2}-.0102805{col 26}{space 2} .0079077{col 37}{space 1}   -1.30{col 46}{space 3}0.195{col 54}{space 4}-.0258953{col 67}{space 3} .0053342
{txt}b_mortrat~05 {c |}{col 14}{res}{space 2} .0712443{col 26}{space 2} .0625629{col 37}{space 1}    1.14{col 46}{space 3}0.256{col 54}{space 4} -.052294{col 67}{space 3} .1947826
{txt}c_tf~_hc_hc2 {c |}{col 14}{res}{space 2} .0049443{col 26}{space 2} .0115866{col 37}{space 1}    0.43{col 46}{space 3}0.670{col 54}{space 4} -.017935{col 67}{space 3} .0278236
{txt}c_tfull_hc~l {c |}{col 14}{res}{space 2} .0021414{col 26}{space 2} .0116084{col 37}{space 1}    0.18{col 46}{space 3}0.854{col 54}{space 4}-.0207808{col 67}{space 3} .0250636
{txt}c_tfull_hc~s {c |}{col 14}{res}{space 2}-.0060544{col 26}{space 2} .0168002{col 37}{space 1}   -0.36{col 46}{space 3}0.719{col 54}{space 4}-.0392284{col 67}{space 3} .0271197
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2}-.0366629{col 26}{space 2} .0456674{col 37}{space 1}   -0.80{col 46}{space 3}0.423{col 54}{space 4}-.1268389{col 67}{space 3}  .053513
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2} -.008413{col 26}{space 2} .0053887{col 37}{space 1}   -1.56{col 46}{space 3}0.120{col 54}{space 4}-.0190536{col 67}{space 3} .0022277
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2} .0133283{col 26}{space 2} .0175399{col 37}{space 1}    0.76{col 46}{space 3}0.448{col 54}{space 4}-.0213064{col 67}{space 3}  .047963
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} .0606044{col 26}{space 2} .0062373{col 37}{space 1}    9.72{col 46}{space 3}0.000{col 54}{space 4} .0482881{col 67}{space 3} .0729207
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull = .07{p_end}

{txt}       F(  1,   163) ={res}  103.07
{txt}{col 13}Prob > F ={res}    0.0000

{p 0 7}{space 1}{text:( 1)}{space 1} treatfull = -.07{p_end}

{txt}       F(  1,   163) ={res}   57.03
{txt}{col 13}Prob > F ={res}    0.0000

{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}       187
{txt}{col 49}F({res}   8{txt},{res}    163{txt}){col 67}= {res}      0.82
{txt}{col 49}Prob > F{col 67}= {res}    0.5849
{txt}{col 49}R-squared{col 67}= {res}    0.1631
{txt}{col 49}Adj R-squared{col 67}= {res}    0.0450
{txt}{col 49}Root MSE{col 67}= {res}    0.0535

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}e_mortrat~05{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2}-.0102805{col 26}{space 2} .0079077{col 37}{space 1}   -1.30{col 46}{space 3}0.195{col 54}{space 4}-.0258953{col 67}{space 3} .0053342
{txt}b_mortrat~05 {c |}{col 14}{res}{space 2} .0712443{col 26}{space 2} .0625629{col 37}{space 1}    1.14{col 46}{space 3}0.256{col 54}{space 4} -.052294{col 67}{space 3} .1947826
{txt}c_tf~_hc_hc2 {c |}{col 14}{res}{space 2} .0049443{col 26}{space 2} .0115866{col 37}{space 1}    0.43{col 46}{space 3}0.670{col 54}{space 4} -.017935{col 67}{space 3} .0278236
{txt}c_tfull_hc~l {c |}{col 14}{res}{space 2} .0021414{col 26}{space 2} .0116084{col 37}{space 1}    0.18{col 46}{space 3}0.854{col 54}{space 4}-.0207808{col 67}{space 3} .0250636
{txt}c_tfull_hc~s {c |}{col 14}{res}{space 2}-.0060544{col 26}{space 2} .0168002{col 37}{space 1}   -0.36{col 46}{space 3}0.719{col 54}{space 4}-.0392284{col 67}{space 3} .0271197
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2}-.0366629{col 26}{space 2} .0456674{col 37}{space 1}   -0.80{col 46}{space 3}0.423{col 54}{space 4}-.1268389{col 67}{space 3}  .053513
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2} -.008413{col 26}{space 2} .0053887{col 37}{space 1}   -1.56{col 46}{space 3}0.120{col 54}{space 4}-.0190536{col 67}{space 3} .0022277
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2} .0133283{col 26}{space 2} .0175399{col 37}{space 1}    0.76{col 46}{space 3}0.448{col 54}{space 4}-.0213064{col 67}{space 3}  .047963
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} .0606044{col 26}{space 2} .0062373{col 37}{space 1}    9.72{col 46}{space 3}0.000{col 54}{space 4} .0482881{col 67}{space 3} .0729207
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull = .071{p_end}

{txt}       F(  1,   163) ={res}  105.65
{txt}{col 13}Prob > F ={res}    0.0000

{p 0 7}{space 1}{text:( 1)}{space 1} treatfull = -.071{p_end}

{txt}       F(  1,   163) ={res}   58.96
{txt}{col 13}Prob > F ={res}    0.0000

{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}       187
{txt}{col 49}F({res}   8{txt},{res}    163{txt}){col 67}= {res}      0.82
{txt}{col 49}Prob > F{col 67}= {res}    0.5849
{txt}{col 49}R-squared{col 67}= {res}    0.1631
{txt}{col 49}Adj R-squared{col 67}= {res}    0.0450
{txt}{col 49}Root MSE{col 67}= {res}    0.0535

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}e_mortrat~05{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2}-.0102805{col 26}{space 2} .0079077{col 37}{space 1}   -1.30{col 46}{space 3}0.195{col 54}{space 4}-.0258953{col 67}{space 3} .0053342
{txt}b_mortrat~05 {c |}{col 14}{res}{space 2} .0712443{col 26}{space 2} .0625629{col 37}{space 1}    1.14{col 46}{space 3}0.256{col 54}{space 4} -.052294{col 67}{space 3} .1947826
{txt}c_tf~_hc_hc2 {c |}{col 14}{res}{space 2} .0049443{col 26}{space 2} .0115866{col 37}{space 1}    0.43{col 46}{space 3}0.670{col 54}{space 4} -.017935{col 67}{space 3} .0278236
{txt}c_tfull_hc~l {c |}{col 14}{res}{space 2} .0021414{col 26}{space 2} .0116084{col 37}{space 1}    0.18{col 46}{space 3}0.854{col 54}{space 4}-.0207808{col 67}{space 3} .0250636
{txt}c_tfull_hc~s {c |}{col 14}{res}{space 2}-.0060544{col 26}{space 2} .0168002{col 37}{space 1}   -0.36{col 46}{space 3}0.719{col 54}{space 4}-.0392284{col 67}{space 3} .0271197
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2}-.0366629{col 26}{space 2} .0456674{col 37}{space 1}   -0.80{col 46}{space 3}0.423{col 54}{space 4}-.1268389{col 67}{space 3}  .053513
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2} -.008413{col 26}{space 2} .0053887{col 37}{space 1}   -1.56{col 46}{space 3}0.120{col 54}{space 4}-.0190536{col 67}{space 3} .0022277
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2} .0133283{col 26}{space 2} .0175399{col 37}{space 1}    0.76{col 46}{space 3}0.448{col 54}{space 4}-.0213064{col 67}{space 3}  .047963
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} .0606044{col 26}{space 2} .0062373{col 37}{space 1}    9.72{col 46}{space 3}0.000{col 54}{space 4} .0482881{col 67}{space 3} .0729207
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull = .072{p_end}

{txt}       F(  1,   163) ={res}  108.27
{txt}{col 13}Prob > F ={res}    0.0000

{p 0 7}{space 1}{text:( 1)}{space 1} treatfull = -.072{p_end}

{txt}       F(  1,   163) ={res}   60.92
{txt}{col 13}Prob > F ={res}    0.0000

{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}       187
{txt}{col 49}F({res}   8{txt},{res}    163{txt}){col 67}= {res}      0.82
{txt}{col 49}Prob > F{col 67}= {res}    0.5849
{txt}{col 49}R-squared{col 67}= {res}    0.1631
{txt}{col 49}Adj R-squared{col 67}= {res}    0.0450
{txt}{col 49}Root MSE{col 67}= {res}    0.0535

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}e_mortrat~05{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2}-.0102805{col 26}{space 2} .0079077{col 37}{space 1}   -1.30{col 46}{space 3}0.195{col 54}{space 4}-.0258953{col 67}{space 3} .0053342
{txt}b_mortrat~05 {c |}{col 14}{res}{space 2} .0712443{col 26}{space 2} .0625629{col 37}{space 1}    1.14{col 46}{space 3}0.256{col 54}{space 4} -.052294{col 67}{space 3} .1947826
{txt}c_tf~_hc_hc2 {c |}{col 14}{res}{space 2} .0049443{col 26}{space 2} .0115866{col 37}{space 1}    0.43{col 46}{space 3}0.670{col 54}{space 4} -.017935{col 67}{space 3} .0278236
{txt}c_tfull_hc~l {c |}{col 14}{res}{space 2} .0021414{col 26}{space 2} .0116084{col 37}{space 1}    0.18{col 46}{space 3}0.854{col 54}{space 4}-.0207808{col 67}{space 3} .0250636
{txt}c_tfull_hc~s {c |}{col 14}{res}{space 2}-.0060544{col 26}{space 2} .0168002{col 37}{space 1}   -0.36{col 46}{space 3}0.719{col 54}{space 4}-.0392284{col 67}{space 3} .0271197
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2}-.0366629{col 26}{space 2} .0456674{col 37}{space 1}   -0.80{col 46}{space 3}0.423{col 54}{space 4}-.1268389{col 67}{space 3}  .053513
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2} -.008413{col 26}{space 2} .0053887{col 37}{space 1}   -1.56{col 46}{space 3}0.120{col 54}{space 4}-.0190536{col 67}{space 3} .0022277
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2} .0133283{col 26}{space 2} .0175399{col 37}{space 1}    0.76{col 46}{space 3}0.448{col 54}{space 4}-.0213064{col 67}{space 3}  .047963
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} .0606044{col 26}{space 2} .0062373{col 37}{space 1}    9.72{col 46}{space 3}0.000{col 54}{space 4} .0482881{col 67}{space 3} .0729207
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull = .073{p_end}

{txt}       F(  1,   163) ={res}  110.91
{txt}{col 13}Prob > F ={res}    0.0000

{p 0 7}{space 1}{text:( 1)}{space 1} treatfull = -.073{p_end}

{txt}       F(  1,   163) ={res}   62.91
{txt}{col 13}Prob > F ={res}    0.0000

{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}       187
{txt}{col 49}F({res}   8{txt},{res}    163{txt}){col 67}= {res}      0.82
{txt}{col 49}Prob > F{col 67}= {res}    0.5849
{txt}{col 49}R-squared{col 67}= {res}    0.1631
{txt}{col 49}Adj R-squared{col 67}= {res}    0.0450
{txt}{col 49}Root MSE{col 67}= {res}    0.0535

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}e_mortrat~05{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2}-.0102805{col 26}{space 2} .0079077{col 37}{space 1}   -1.30{col 46}{space 3}0.195{col 54}{space 4}-.0258953{col 67}{space 3} .0053342
{txt}b_mortrat~05 {c |}{col 14}{res}{space 2} .0712443{col 26}{space 2} .0625629{col 37}{space 1}    1.14{col 46}{space 3}0.256{col 54}{space 4} -.052294{col 67}{space 3} .1947826
{txt}c_tf~_hc_hc2 {c |}{col 14}{res}{space 2} .0049443{col 26}{space 2} .0115866{col 37}{space 1}    0.43{col 46}{space 3}0.670{col 54}{space 4} -.017935{col 67}{space 3} .0278236
{txt}c_tfull_hc~l {c |}{col 14}{res}{space 2} .0021414{col 26}{space 2} .0116084{col 37}{space 1}    0.18{col 46}{space 3}0.854{col 54}{space 4}-.0207808{col 67}{space 3} .0250636
{txt}c_tfull_hc~s {c |}{col 14}{res}{space 2}-.0060544{col 26}{space 2} .0168002{col 37}{space 1}   -0.36{col 46}{space 3}0.719{col 54}{space 4}-.0392284{col 67}{space 3} .0271197
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2}-.0366629{col 26}{space 2} .0456674{col 37}{space 1}   -0.80{col 46}{space 3}0.423{col 54}{space 4}-.1268389{col 67}{space 3}  .053513
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2} -.008413{col 26}{space 2} .0053887{col 37}{space 1}   -1.56{col 46}{space 3}0.120{col 54}{space 4}-.0190536{col 67}{space 3} .0022277
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2} .0133283{col 26}{space 2} .0175399{col 37}{space 1}    0.76{col 46}{space 3}0.448{col 54}{space 4}-.0213064{col 67}{space 3}  .047963
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} .0606044{col 26}{space 2} .0062373{col 37}{space 1}    9.72{col 46}{space 3}0.000{col 54}{space 4} .0482881{col 67}{space 3} .0729207
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull = .074{p_end}

{txt}       F(  1,   163) ={res}  113.59
{txt}{col 13}Prob > F ={res}    0.0000

{p 0 7}{space 1}{text:( 1)}{space 1} treatfull = -.074{p_end}

{txt}       F(  1,   163) ={res}   64.93
{txt}{col 13}Prob > F ={res}    0.0000

{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}       187
{txt}{col 49}F({res}   8{txt},{res}    163{txt}){col 67}= {res}      0.82
{txt}{col 49}Prob > F{col 67}= {res}    0.5849
{txt}{col 49}R-squared{col 67}= {res}    0.1631
{txt}{col 49}Adj R-squared{col 67}= {res}    0.0450
{txt}{col 49}Root MSE{col 67}= {res}    0.0535

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}e_mortrat~05{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2}-.0102805{col 26}{space 2} .0079077{col 37}{space 1}   -1.30{col 46}{space 3}0.195{col 54}{space 4}-.0258953{col 67}{space 3} .0053342
{txt}b_mortrat~05 {c |}{col 14}{res}{space 2} .0712443{col 26}{space 2} .0625629{col 37}{space 1}    1.14{col 46}{space 3}0.256{col 54}{space 4} -.052294{col 67}{space 3} .1947826
{txt}c_tf~_hc_hc2 {c |}{col 14}{res}{space 2} .0049443{col 26}{space 2} .0115866{col 37}{space 1}    0.43{col 46}{space 3}0.670{col 54}{space 4} -.017935{col 67}{space 3} .0278236
{txt}c_tfull_hc~l {c |}{col 14}{res}{space 2} .0021414{col 26}{space 2} .0116084{col 37}{space 1}    0.18{col 46}{space 3}0.854{col 54}{space 4}-.0207808{col 67}{space 3} .0250636
{txt}c_tfull_hc~s {c |}{col 14}{res}{space 2}-.0060544{col 26}{space 2} .0168002{col 37}{space 1}   -0.36{col 46}{space 3}0.719{col 54}{space 4}-.0392284{col 67}{space 3} .0271197
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2}-.0366629{col 26}{space 2} .0456674{col 37}{space 1}   -0.80{col 46}{space 3}0.423{col 54}{space 4}-.1268389{col 67}{space 3}  .053513
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2} -.008413{col 26}{space 2} .0053887{col 37}{space 1}   -1.56{col 46}{space 3}0.120{col 54}{space 4}-.0190536{col 67}{space 3} .0022277
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2} .0133283{col 26}{space 2} .0175399{col 37}{space 1}    0.76{col 46}{space 3}0.448{col 54}{space 4}-.0213064{col 67}{space 3}  .047963
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} .0606044{col 26}{space 2} .0062373{col 37}{space 1}    9.72{col 46}{space 3}0.000{col 54}{space 4} .0482881{col 67}{space 3} .0729207
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull = .075{p_end}

{txt}       F(  1,   163) ={res}  116.31
{txt}{col 13}Prob > F ={res}    0.0000

{p 0 7}{space 1}{text:( 1)}{space 1} treatfull = -.075{p_end}

{txt}       F(  1,   163) ={res}   66.98
{txt}{col 13}Prob > F ={res}    0.0000

{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}       187
{txt}{col 49}F({res}   8{txt},{res}    163{txt}){col 67}= {res}      0.82
{txt}{col 49}Prob > F{col 67}= {res}    0.5849
{txt}{col 49}R-squared{col 67}= {res}    0.1631
{txt}{col 49}Adj R-squared{col 67}= {res}    0.0450
{txt}{col 49}Root MSE{col 67}= {res}    0.0535

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}e_mortrat~05{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2}-.0102805{col 26}{space 2} .0079077{col 37}{space 1}   -1.30{col 46}{space 3}0.195{col 54}{space 4}-.0258953{col 67}{space 3} .0053342
{txt}b_mortrat~05 {c |}{col 14}{res}{space 2} .0712443{col 26}{space 2} .0625629{col 37}{space 1}    1.14{col 46}{space 3}0.256{col 54}{space 4} -.052294{col 67}{space 3} .1947826
{txt}c_tf~_hc_hc2 {c |}{col 14}{res}{space 2} .0049443{col 26}{space 2} .0115866{col 37}{space 1}    0.43{col 46}{space 3}0.670{col 54}{space 4} -.017935{col 67}{space 3} .0278236
{txt}c_tfull_hc~l {c |}{col 14}{res}{space 2} .0021414{col 26}{space 2} .0116084{col 37}{space 1}    0.18{col 46}{space 3}0.854{col 54}{space 4}-.0207808{col 67}{space 3} .0250636
{txt}c_tfull_hc~s {c |}{col 14}{res}{space 2}-.0060544{col 26}{space 2} .0168002{col 37}{space 1}   -0.36{col 46}{space 3}0.719{col 54}{space 4}-.0392284{col 67}{space 3} .0271197
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2}-.0366629{col 26}{space 2} .0456674{col 37}{space 1}   -0.80{col 46}{space 3}0.423{col 54}{space 4}-.1268389{col 67}{space 3}  .053513
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2} -.008413{col 26}{space 2} .0053887{col 37}{space 1}   -1.56{col 46}{space 3}0.120{col 54}{space 4}-.0190536{col 67}{space 3} .0022277
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2} .0133283{col 26}{space 2} .0175399{col 37}{space 1}    0.76{col 46}{space 3}0.448{col 54}{space 4}-.0213064{col 67}{space 3}  .047963
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} .0606044{col 26}{space 2} .0062373{col 37}{space 1}    9.72{col 46}{space 3}0.000{col 54}{space 4} .0482881{col 67}{space 3} .0729207
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull = .076{p_end}

{txt}       F(  1,   163) ={res}  119.05
{txt}{col 13}Prob > F ={res}    0.0000

{p 0 7}{space 1}{text:( 1)}{space 1} treatfull = -.076{p_end}

{txt}       F(  1,   163) ={res}   69.07
{txt}{col 13}Prob > F ={res}    0.0000

{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}       187
{txt}{col 49}F({res}   8{txt},{res}    163{txt}){col 67}= {res}      0.82
{txt}{col 49}Prob > F{col 67}= {res}    0.5849
{txt}{col 49}R-squared{col 67}= {res}    0.1631
{txt}{col 49}Adj R-squared{col 67}= {res}    0.0450
{txt}{col 49}Root MSE{col 67}= {res}    0.0535

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}e_mortrat~05{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2}-.0102805{col 26}{space 2} .0079077{col 37}{space 1}   -1.30{col 46}{space 3}0.195{col 54}{space 4}-.0258953{col 67}{space 3} .0053342
{txt}b_mortrat~05 {c |}{col 14}{res}{space 2} .0712443{col 26}{space 2} .0625629{col 37}{space 1}    1.14{col 46}{space 3}0.256{col 54}{space 4} -.052294{col 67}{space 3} .1947826
{txt}c_tf~_hc_hc2 {c |}{col 14}{res}{space 2} .0049443{col 26}{space 2} .0115866{col 37}{space 1}    0.43{col 46}{space 3}0.670{col 54}{space 4} -.017935{col 67}{space 3} .0278236
{txt}c_tfull_hc~l {c |}{col 14}{res}{space 2} .0021414{col 26}{space 2} .0116084{col 37}{space 1}    0.18{col 46}{space 3}0.854{col 54}{space 4}-.0207808{col 67}{space 3} .0250636
{txt}c_tfull_hc~s {c |}{col 14}{res}{space 2}-.0060544{col 26}{space 2} .0168002{col 37}{space 1}   -0.36{col 46}{space 3}0.719{col 54}{space 4}-.0392284{col 67}{space 3} .0271197
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2}-.0366629{col 26}{space 2} .0456674{col 37}{space 1}   -0.80{col 46}{space 3}0.423{col 54}{space 4}-.1268389{col 67}{space 3}  .053513
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2} -.008413{col 26}{space 2} .0053887{col 37}{space 1}   -1.56{col 46}{space 3}0.120{col 54}{space 4}-.0190536{col 67}{space 3} .0022277
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2} .0133283{col 26}{space 2} .0175399{col 37}{space 1}    0.76{col 46}{space 3}0.448{col 54}{space 4}-.0213064{col 67}{space 3}  .047963
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} .0606044{col 26}{space 2} .0062373{col 37}{space 1}    9.72{col 46}{space 3}0.000{col 54}{space 4} .0482881{col 67}{space 3} .0729207
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull = .077{p_end}

{txt}       F(  1,   163) ={res}  121.82
{txt}{col 13}Prob > F ={res}    0.0000

{p 0 7}{space 1}{text:( 1)}{space 1} treatfull = -.077{p_end}

{txt}       F(  1,   163) ={res}   71.19
{txt}{col 13}Prob > F ={res}    0.0000

{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}       187
{txt}{col 49}F({res}   8{txt},{res}    163{txt}){col 67}= {res}      0.82
{txt}{col 49}Prob > F{col 67}= {res}    0.5849
{txt}{col 49}R-squared{col 67}= {res}    0.1631
{txt}{col 49}Adj R-squared{col 67}= {res}    0.0450
{txt}{col 49}Root MSE{col 67}= {res}    0.0535

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}e_mortrat~05{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2}-.0102805{col 26}{space 2} .0079077{col 37}{space 1}   -1.30{col 46}{space 3}0.195{col 54}{space 4}-.0258953{col 67}{space 3} .0053342
{txt}b_mortrat~05 {c |}{col 14}{res}{space 2} .0712443{col 26}{space 2} .0625629{col 37}{space 1}    1.14{col 46}{space 3}0.256{col 54}{space 4} -.052294{col 67}{space 3} .1947826
{txt}c_tf~_hc_hc2 {c |}{col 14}{res}{space 2} .0049443{col 26}{space 2} .0115866{col 37}{space 1}    0.43{col 46}{space 3}0.670{col 54}{space 4} -.017935{col 67}{space 3} .0278236
{txt}c_tfull_hc~l {c |}{col 14}{res}{space 2} .0021414{col 26}{space 2} .0116084{col 37}{space 1}    0.18{col 46}{space 3}0.854{col 54}{space 4}-.0207808{col 67}{space 3} .0250636
{txt}c_tfull_hc~s {c |}{col 14}{res}{space 2}-.0060544{col 26}{space 2} .0168002{col 37}{space 1}   -0.36{col 46}{space 3}0.719{col 54}{space 4}-.0392284{col 67}{space 3} .0271197
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2}-.0366629{col 26}{space 2} .0456674{col 37}{space 1}   -0.80{col 46}{space 3}0.423{col 54}{space 4}-.1268389{col 67}{space 3}  .053513
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2} -.008413{col 26}{space 2} .0053887{col 37}{space 1}   -1.56{col 46}{space 3}0.120{col 54}{space 4}-.0190536{col 67}{space 3} .0022277
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2} .0133283{col 26}{space 2} .0175399{col 37}{space 1}    0.76{col 46}{space 3}0.448{col 54}{space 4}-.0213064{col 67}{space 3}  .047963
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} .0606044{col 26}{space 2} .0062373{col 37}{space 1}    9.72{col 46}{space 3}0.000{col 54}{space 4} .0482881{col 67}{space 3} .0729207
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull = .078{p_end}

{txt}       F(  1,   163) ={res}  124.63
{txt}{col 13}Prob > F ={res}    0.0000

{p 0 7}{space 1}{text:( 1)}{space 1} treatfull = -.078{p_end}

{txt}       F(  1,   163) ={res}   73.34
{txt}{col 13}Prob > F ={res}    0.0000

{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}       187
{txt}{col 49}F({res}   8{txt},{res}    163{txt}){col 67}= {res}      0.82
{txt}{col 49}Prob > F{col 67}= {res}    0.5849
{txt}{col 49}R-squared{col 67}= {res}    0.1631
{txt}{col 49}Adj R-squared{col 67}= {res}    0.0450
{txt}{col 49}Root MSE{col 67}= {res}    0.0535

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}e_mortrat~05{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2}-.0102805{col 26}{space 2} .0079077{col 37}{space 1}   -1.30{col 46}{space 3}0.195{col 54}{space 4}-.0258953{col 67}{space 3} .0053342
{txt}b_mortrat~05 {c |}{col 14}{res}{space 2} .0712443{col 26}{space 2} .0625629{col 37}{space 1}    1.14{col 46}{space 3}0.256{col 54}{space 4} -.052294{col 67}{space 3} .1947826
{txt}c_tf~_hc_hc2 {c |}{col 14}{res}{space 2} .0049443{col 26}{space 2} .0115866{col 37}{space 1}    0.43{col 46}{space 3}0.670{col 54}{space 4} -.017935{col 67}{space 3} .0278236
{txt}c_tfull_hc~l {c |}{col 14}{res}{space 2} .0021414{col 26}{space 2} .0116084{col 37}{space 1}    0.18{col 46}{space 3}0.854{col 54}{space 4}-.0207808{col 67}{space 3} .0250636
{txt}c_tfull_hc~s {c |}{col 14}{res}{space 2}-.0060544{col 26}{space 2} .0168002{col 37}{space 1}   -0.36{col 46}{space 3}0.719{col 54}{space 4}-.0392284{col 67}{space 3} .0271197
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2}-.0366629{col 26}{space 2} .0456674{col 37}{space 1}   -0.80{col 46}{space 3}0.423{col 54}{space 4}-.1268389{col 67}{space 3}  .053513
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2} -.008413{col 26}{space 2} .0053887{col 37}{space 1}   -1.56{col 46}{space 3}0.120{col 54}{space 4}-.0190536{col 67}{space 3} .0022277
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2} .0133283{col 26}{space 2} .0175399{col 37}{space 1}    0.76{col 46}{space 3}0.448{col 54}{space 4}-.0213064{col 67}{space 3}  .047963
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} .0606044{col 26}{space 2} .0062373{col 37}{space 1}    9.72{col 46}{space 3}0.000{col 54}{space 4} .0482881{col 67}{space 3} .0729207
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull = .079{p_end}

{txt}       F(  1,   163) ={res}  127.47
{txt}{col 13}Prob > F ={res}    0.0000

{p 0 7}{space 1}{text:( 1)}{space 1} treatfull = -.079{p_end}

{txt}       F(  1,   163) ={res}   75.52
{txt}{col 13}Prob > F ={res}    0.0000

{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}       187
{txt}{col 49}F({res}   8{txt},{res}    163{txt}){col 67}= {res}      0.82
{txt}{col 49}Prob > F{col 67}= {res}    0.5849
{txt}{col 49}R-squared{col 67}= {res}    0.1631
{txt}{col 49}Adj R-squared{col 67}= {res}    0.0450
{txt}{col 49}Root MSE{col 67}= {res}    0.0535

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}e_mortrat~05{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2}-.0102805{col 26}{space 2} .0079077{col 37}{space 1}   -1.30{col 46}{space 3}0.195{col 54}{space 4}-.0258953{col 67}{space 3} .0053342
{txt}b_mortrat~05 {c |}{col 14}{res}{space 2} .0712443{col 26}{space 2} .0625629{col 37}{space 1}    1.14{col 46}{space 3}0.256{col 54}{space 4} -.052294{col 67}{space 3} .1947826
{txt}c_tf~_hc_hc2 {c |}{col 14}{res}{space 2} .0049443{col 26}{space 2} .0115866{col 37}{space 1}    0.43{col 46}{space 3}0.670{col 54}{space 4} -.017935{col 67}{space 3} .0278236
{txt}c_tfull_hc~l {c |}{col 14}{res}{space 2} .0021414{col 26}{space 2} .0116084{col 37}{space 1}    0.18{col 46}{space 3}0.854{col 54}{space 4}-.0207808{col 67}{space 3} .0250636
{txt}c_tfull_hc~s {c |}{col 14}{res}{space 2}-.0060544{col 26}{space 2} .0168002{col 37}{space 1}   -0.36{col 46}{space 3}0.719{col 54}{space 4}-.0392284{col 67}{space 3} .0271197
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2}-.0366629{col 26}{space 2} .0456674{col 37}{space 1}   -0.80{col 46}{space 3}0.423{col 54}{space 4}-.1268389{col 67}{space 3}  .053513
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2} -.008413{col 26}{space 2} .0053887{col 37}{space 1}   -1.56{col 46}{space 3}0.120{col 54}{space 4}-.0190536{col 67}{space 3} .0022277
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2} .0133283{col 26}{space 2} .0175399{col 37}{space 1}    0.76{col 46}{space 3}0.448{col 54}{space 4}-.0213064{col 67}{space 3}  .047963
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} .0606044{col 26}{space 2} .0062373{col 37}{space 1}    9.72{col 46}{space 3}0.000{col 54}{space 4} .0482881{col 67}{space 3} .0729207
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull = .08{p_end}

{txt}       F(  1,   163) ={res}  130.34
{txt}{col 13}Prob > F ={res}    0.0000

{p 0 7}{space 1}{text:( 1)}{space 1} treatfull = -.08{p_end}

{txt}       F(  1,   163) ={res}   77.73
{txt}{col 13}Prob > F ={res}    0.0000

{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}       187
{txt}{col 49}F({res}   8{txt},{res}    163{txt}){col 67}= {res}      0.82
{txt}{col 49}Prob > F{col 67}= {res}    0.5849
{txt}{col 49}R-squared{col 67}= {res}    0.1631
{txt}{col 49}Adj R-squared{col 67}= {res}    0.0450
{txt}{col 49}Root MSE{col 67}= {res}    0.0535

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}e_mortrat~05{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2}-.0102805{col 26}{space 2} .0079077{col 37}{space 1}   -1.30{col 46}{space 3}0.195{col 54}{space 4}-.0258953{col 67}{space 3} .0053342
{txt}b_mortrat~05 {c |}{col 14}{res}{space 2} .0712443{col 26}{space 2} .0625629{col 37}{space 1}    1.14{col 46}{space 3}0.256{col 54}{space 4} -.052294{col 67}{space 3} .1947826
{txt}c_tf~_hc_hc2 {c |}{col 14}{res}{space 2} .0049443{col 26}{space 2} .0115866{col 37}{space 1}    0.43{col 46}{space 3}0.670{col 54}{space 4} -.017935{col 67}{space 3} .0278236
{txt}c_tfull_hc~l {c |}{col 14}{res}{space 2} .0021414{col 26}{space 2} .0116084{col 37}{space 1}    0.18{col 46}{space 3}0.854{col 54}{space 4}-.0207808{col 67}{space 3} .0250636
{txt}c_tfull_hc~s {c |}{col 14}{res}{space 2}-.0060544{col 26}{space 2} .0168002{col 37}{space 1}   -0.36{col 46}{space 3}0.719{col 54}{space 4}-.0392284{col 67}{space 3} .0271197
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2}-.0366629{col 26}{space 2} .0456674{col 37}{space 1}   -0.80{col 46}{space 3}0.423{col 54}{space 4}-.1268389{col 67}{space 3}  .053513
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2} -.008413{col 26}{space 2} .0053887{col 37}{space 1}   -1.56{col 46}{space 3}0.120{col 54}{space 4}-.0190536{col 67}{space 3} .0022277
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2} .0133283{col 26}{space 2} .0175399{col 37}{space 1}    0.76{col 46}{space 3}0.448{col 54}{space 4}-.0213064{col 67}{space 3}  .047963
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} .0606044{col 26}{space 2} .0062373{col 37}{space 1}    9.72{col 46}{space 3}0.000{col 54}{space 4} .0482881{col 67}{space 3} .0729207
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull = .081{p_end}

{txt}       F(  1,   163) ={res}  133.25
{txt}{col 13}Prob > F ={res}    0.0000

{p 0 7}{space 1}{text:( 1)}{space 1} treatfull = -.081{p_end}

{txt}       F(  1,   163) ={res}   79.98
{txt}{col 13}Prob > F ={res}    0.0000

{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}       187
{txt}{col 49}F({res}   8{txt},{res}    163{txt}){col 67}= {res}      0.82
{txt}{col 49}Prob > F{col 67}= {res}    0.5849
{txt}{col 49}R-squared{col 67}= {res}    0.1631
{txt}{col 49}Adj R-squared{col 67}= {res}    0.0450
{txt}{col 49}Root MSE{col 67}= {res}    0.0535

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}e_mortrat~05{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2}-.0102805{col 26}{space 2} .0079077{col 37}{space 1}   -1.30{col 46}{space 3}0.195{col 54}{space 4}-.0258953{col 67}{space 3} .0053342
{txt}b_mortrat~05 {c |}{col 14}{res}{space 2} .0712443{col 26}{space 2} .0625629{col 37}{space 1}    1.14{col 46}{space 3}0.256{col 54}{space 4} -.052294{col 67}{space 3} .1947826
{txt}c_tf~_hc_hc2 {c |}{col 14}{res}{space 2} .0049443{col 26}{space 2} .0115866{col 37}{space 1}    0.43{col 46}{space 3}0.670{col 54}{space 4} -.017935{col 67}{space 3} .0278236
{txt}c_tfull_hc~l {c |}{col 14}{res}{space 2} .0021414{col 26}{space 2} .0116084{col 37}{space 1}    0.18{col 46}{space 3}0.854{col 54}{space 4}-.0207808{col 67}{space 3} .0250636
{txt}c_tfull_hc~s {c |}{col 14}{res}{space 2}-.0060544{col 26}{space 2} .0168002{col 37}{space 1}   -0.36{col 46}{space 3}0.719{col 54}{space 4}-.0392284{col 67}{space 3} .0271197
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2}-.0366629{col 26}{space 2} .0456674{col 37}{space 1}   -0.80{col 46}{space 3}0.423{col 54}{space 4}-.1268389{col 67}{space 3}  .053513
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2} -.008413{col 26}{space 2} .0053887{col 37}{space 1}   -1.56{col 46}{space 3}0.120{col 54}{space 4}-.0190536{col 67}{space 3} .0022277
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2} .0133283{col 26}{space 2} .0175399{col 37}{space 1}    0.76{col 46}{space 3}0.448{col 54}{space 4}-.0213064{col 67}{space 3}  .047963
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} .0606044{col 26}{space 2} .0062373{col 37}{space 1}    9.72{col 46}{space 3}0.000{col 54}{space 4} .0482881{col 67}{space 3} .0729207
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull = .082{p_end}

{txt}       F(  1,   163) ={res}  136.18
{txt}{col 13}Prob > F ={res}    0.0000

{p 0 7}{space 1}{text:( 1)}{space 1} treatfull = -.082{p_end}

{txt}       F(  1,   163) ={res}   82.26
{txt}{col 13}Prob > F ={res}    0.0000

{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}       187
{txt}{col 49}F({res}   8{txt},{res}    163{txt}){col 67}= {res}      0.82
{txt}{col 49}Prob > F{col 67}= {res}    0.5849
{txt}{col 49}R-squared{col 67}= {res}    0.1631
{txt}{col 49}Adj R-squared{col 67}= {res}    0.0450
{txt}{col 49}Root MSE{col 67}= {res}    0.0535

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}e_mortrat~05{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2}-.0102805{col 26}{space 2} .0079077{col 37}{space 1}   -1.30{col 46}{space 3}0.195{col 54}{space 4}-.0258953{col 67}{space 3} .0053342
{txt}b_mortrat~05 {c |}{col 14}{res}{space 2} .0712443{col 26}{space 2} .0625629{col 37}{space 1}    1.14{col 46}{space 3}0.256{col 54}{space 4} -.052294{col 67}{space 3} .1947826
{txt}c_tf~_hc_hc2 {c |}{col 14}{res}{space 2} .0049443{col 26}{space 2} .0115866{col 37}{space 1}    0.43{col 46}{space 3}0.670{col 54}{space 4} -.017935{col 67}{space 3} .0278236
{txt}c_tfull_hc~l {c |}{col 14}{res}{space 2} .0021414{col 26}{space 2} .0116084{col 37}{space 1}    0.18{col 46}{space 3}0.854{col 54}{space 4}-.0207808{col 67}{space 3} .0250636
{txt}c_tfull_hc~s {c |}{col 14}{res}{space 2}-.0060544{col 26}{space 2} .0168002{col 37}{space 1}   -0.36{col 46}{space 3}0.719{col 54}{space 4}-.0392284{col 67}{space 3} .0271197
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2}-.0366629{col 26}{space 2} .0456674{col 37}{space 1}   -0.80{col 46}{space 3}0.423{col 54}{space 4}-.1268389{col 67}{space 3}  .053513
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2} -.008413{col 26}{space 2} .0053887{col 37}{space 1}   -1.56{col 46}{space 3}0.120{col 54}{space 4}-.0190536{col 67}{space 3} .0022277
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2} .0133283{col 26}{space 2} .0175399{col 37}{space 1}    0.76{col 46}{space 3}0.448{col 54}{space 4}-.0213064{col 67}{space 3}  .047963
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} .0606044{col 26}{space 2} .0062373{col 37}{space 1}    9.72{col 46}{space 3}0.000{col 54}{space 4} .0482881{col 67}{space 3} .0729207
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull = .083{p_end}

{txt}       F(  1,   163) ={res}  139.15
{txt}{col 13}Prob > F ={res}    0.0000

{p 0 7}{space 1}{text:( 1)}{space 1} treatfull = -.083{p_end}

{txt}       F(  1,   163) ={res}   84.57
{txt}{col 13}Prob > F ={res}    0.0000

{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}       187
{txt}{col 49}F({res}   8{txt},{res}    163{txt}){col 67}= {res}      0.82
{txt}{col 49}Prob > F{col 67}= {res}    0.5849
{txt}{col 49}R-squared{col 67}= {res}    0.1631
{txt}{col 49}Adj R-squared{col 67}= {res}    0.0450
{txt}{col 49}Root MSE{col 67}= {res}    0.0535

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}e_mortrat~05{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2}-.0102805{col 26}{space 2} .0079077{col 37}{space 1}   -1.30{col 46}{space 3}0.195{col 54}{space 4}-.0258953{col 67}{space 3} .0053342
{txt}b_mortrat~05 {c |}{col 14}{res}{space 2} .0712443{col 26}{space 2} .0625629{col 37}{space 1}    1.14{col 46}{space 3}0.256{col 54}{space 4} -.052294{col 67}{space 3} .1947826
{txt}c_tf~_hc_hc2 {c |}{col 14}{res}{space 2} .0049443{col 26}{space 2} .0115866{col 37}{space 1}    0.43{col 46}{space 3}0.670{col 54}{space 4} -.017935{col 67}{space 3} .0278236
{txt}c_tfull_hc~l {c |}{col 14}{res}{space 2} .0021414{col 26}{space 2} .0116084{col 37}{space 1}    0.18{col 46}{space 3}0.854{col 54}{space 4}-.0207808{col 67}{space 3} .0250636
{txt}c_tfull_hc~s {c |}{col 14}{res}{space 2}-.0060544{col 26}{space 2} .0168002{col 37}{space 1}   -0.36{col 46}{space 3}0.719{col 54}{space 4}-.0392284{col 67}{space 3} .0271197
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2}-.0366629{col 26}{space 2} .0456674{col 37}{space 1}   -0.80{col 46}{space 3}0.423{col 54}{space 4}-.1268389{col 67}{space 3}  .053513
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2} -.008413{col 26}{space 2} .0053887{col 37}{space 1}   -1.56{col 46}{space 3}0.120{col 54}{space 4}-.0190536{col 67}{space 3} .0022277
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2} .0133283{col 26}{space 2} .0175399{col 37}{space 1}    0.76{col 46}{space 3}0.448{col 54}{space 4}-.0213064{col 67}{space 3}  .047963
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} .0606044{col 26}{space 2} .0062373{col 37}{space 1}    9.72{col 46}{space 3}0.000{col 54}{space 4} .0482881{col 67}{space 3} .0729207
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull = .084{p_end}

{txt}       F(  1,   163) ={res}  142.15
{txt}{col 13}Prob > F ={res}    0.0000

{p 0 7}{space 1}{text:( 1)}{space 1} treatfull = -.084{p_end}

{txt}       F(  1,   163) ={res}   86.91
{txt}{col 13}Prob > F ={res}    0.0000

{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}       187
{txt}{col 49}F({res}   8{txt},{res}    163{txt}){col 67}= {res}      0.82
{txt}{col 49}Prob > F{col 67}= {res}    0.5849
{txt}{col 49}R-squared{col 67}= {res}    0.1631
{txt}{col 49}Adj R-squared{col 67}= {res}    0.0450
{txt}{col 49}Root MSE{col 67}= {res}    0.0535

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}e_mortrat~05{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2}-.0102805{col 26}{space 2} .0079077{col 37}{space 1}   -1.30{col 46}{space 3}0.195{col 54}{space 4}-.0258953{col 67}{space 3} .0053342
{txt}b_mortrat~05 {c |}{col 14}{res}{space 2} .0712443{col 26}{space 2} .0625629{col 37}{space 1}    1.14{col 46}{space 3}0.256{col 54}{space 4} -.052294{col 67}{space 3} .1947826
{txt}c_tf~_hc_hc2 {c |}{col 14}{res}{space 2} .0049443{col 26}{space 2} .0115866{col 37}{space 1}    0.43{col 46}{space 3}0.670{col 54}{space 4} -.017935{col 67}{space 3} .0278236
{txt}c_tfull_hc~l {c |}{col 14}{res}{space 2} .0021414{col 26}{space 2} .0116084{col 37}{space 1}    0.18{col 46}{space 3}0.854{col 54}{space 4}-.0207808{col 67}{space 3} .0250636
{txt}c_tfull_hc~s {c |}{col 14}{res}{space 2}-.0060544{col 26}{space 2} .0168002{col 37}{space 1}   -0.36{col 46}{space 3}0.719{col 54}{space 4}-.0392284{col 67}{space 3} .0271197
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2}-.0366629{col 26}{space 2} .0456674{col 37}{space 1}   -0.80{col 46}{space 3}0.423{col 54}{space 4}-.1268389{col 67}{space 3}  .053513
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2} -.008413{col 26}{space 2} .0053887{col 37}{space 1}   -1.56{col 46}{space 3}0.120{col 54}{space 4}-.0190536{col 67}{space 3} .0022277
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2} .0133283{col 26}{space 2} .0175399{col 37}{space 1}    0.76{col 46}{space 3}0.448{col 54}{space 4}-.0213064{col 67}{space 3}  .047963
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} .0606044{col 26}{space 2} .0062373{col 37}{space 1}    9.72{col 46}{space 3}0.000{col 54}{space 4} .0482881{col 67}{space 3} .0729207
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull = .085{p_end}

{txt}       F(  1,   163) ={res}  145.18
{txt}{col 13}Prob > F ={res}    0.0000

{p 0 7}{space 1}{text:( 1)}{space 1} treatfull = -.085{p_end}

{txt}       F(  1,   163) ={res}   89.28
{txt}{col 13}Prob > F ={res}    0.0000

{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}       187
{txt}{col 49}F({res}   8{txt},{res}    163{txt}){col 67}= {res}      0.82
{txt}{col 49}Prob > F{col 67}= {res}    0.5849
{txt}{col 49}R-squared{col 67}= {res}    0.1631
{txt}{col 49}Adj R-squared{col 67}= {res}    0.0450
{txt}{col 49}Root MSE{col 67}= {res}    0.0535

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}e_mortrat~05{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2}-.0102805{col 26}{space 2} .0079077{col 37}{space 1}   -1.30{col 46}{space 3}0.195{col 54}{space 4}-.0258953{col 67}{space 3} .0053342
{txt}b_mortrat~05 {c |}{col 14}{res}{space 2} .0712443{col 26}{space 2} .0625629{col 37}{space 1}    1.14{col 46}{space 3}0.256{col 54}{space 4} -.052294{col 67}{space 3} .1947826
{txt}c_tf~_hc_hc2 {c |}{col 14}{res}{space 2} .0049443{col 26}{space 2} .0115866{col 37}{space 1}    0.43{col 46}{space 3}0.670{col 54}{space 4} -.017935{col 67}{space 3} .0278236
{txt}c_tfull_hc~l {c |}{col 14}{res}{space 2} .0021414{col 26}{space 2} .0116084{col 37}{space 1}    0.18{col 46}{space 3}0.854{col 54}{space 4}-.0207808{col 67}{space 3} .0250636
{txt}c_tfull_hc~s {c |}{col 14}{res}{space 2}-.0060544{col 26}{space 2} .0168002{col 37}{space 1}   -0.36{col 46}{space 3}0.719{col 54}{space 4}-.0392284{col 67}{space 3} .0271197
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2}-.0366629{col 26}{space 2} .0456674{col 37}{space 1}   -0.80{col 46}{space 3}0.423{col 54}{space 4}-.1268389{col 67}{space 3}  .053513
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2} -.008413{col 26}{space 2} .0053887{col 37}{space 1}   -1.56{col 46}{space 3}0.120{col 54}{space 4}-.0190536{col 67}{space 3} .0022277
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2} .0133283{col 26}{space 2} .0175399{col 37}{space 1}    0.76{col 46}{space 3}0.448{col 54}{space 4}-.0213064{col 67}{space 3}  .047963
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} .0606044{col 26}{space 2} .0062373{col 37}{space 1}    9.72{col 46}{space 3}0.000{col 54}{space 4} .0482881{col 67}{space 3} .0729207
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull = .086{p_end}

{txt}       F(  1,   163) ={res}  148.24
{txt}{col 13}Prob > F ={res}    0.0000

{p 0 7}{space 1}{text:( 1)}{space 1} treatfull = -.086{p_end}

{txt}       F(  1,   163) ={res}   91.69
{txt}{col 13}Prob > F ={res}    0.0000

{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}       187
{txt}{col 49}F({res}   8{txt},{res}    163{txt}){col 67}= {res}      0.82
{txt}{col 49}Prob > F{col 67}= {res}    0.5849
{txt}{col 49}R-squared{col 67}= {res}    0.1631
{txt}{col 49}Adj R-squared{col 67}= {res}    0.0450
{txt}{col 49}Root MSE{col 67}= {res}    0.0535

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}e_mortrat~05{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2}-.0102805{col 26}{space 2} .0079077{col 37}{space 1}   -1.30{col 46}{space 3}0.195{col 54}{space 4}-.0258953{col 67}{space 3} .0053342
{txt}b_mortrat~05 {c |}{col 14}{res}{space 2} .0712443{col 26}{space 2} .0625629{col 37}{space 1}    1.14{col 46}{space 3}0.256{col 54}{space 4} -.052294{col 67}{space 3} .1947826
{txt}c_tf~_hc_hc2 {c |}{col 14}{res}{space 2} .0049443{col 26}{space 2} .0115866{col 37}{space 1}    0.43{col 46}{space 3}0.670{col 54}{space 4} -.017935{col 67}{space 3} .0278236
{txt}c_tfull_hc~l {c |}{col 14}{res}{space 2} .0021414{col 26}{space 2} .0116084{col 37}{space 1}    0.18{col 46}{space 3}0.854{col 54}{space 4}-.0207808{col 67}{space 3} .0250636
{txt}c_tfull_hc~s {c |}{col 14}{res}{space 2}-.0060544{col 26}{space 2} .0168002{col 37}{space 1}   -0.36{col 46}{space 3}0.719{col 54}{space 4}-.0392284{col 67}{space 3} .0271197
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2}-.0366629{col 26}{space 2} .0456674{col 37}{space 1}   -0.80{col 46}{space 3}0.423{col 54}{space 4}-.1268389{col 67}{space 3}  .053513
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2} -.008413{col 26}{space 2} .0053887{col 37}{space 1}   -1.56{col 46}{space 3}0.120{col 54}{space 4}-.0190536{col 67}{space 3} .0022277
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2} .0133283{col 26}{space 2} .0175399{col 37}{space 1}    0.76{col 46}{space 3}0.448{col 54}{space 4}-.0213064{col 67}{space 3}  .047963
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} .0606044{col 26}{space 2} .0062373{col 37}{space 1}    9.72{col 46}{space 3}0.000{col 54}{space 4} .0482881{col 67}{space 3} .0729207
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull = .087{p_end}

{txt}       F(  1,   163) ={res}  151.34
{txt}{col 13}Prob > F ={res}    0.0000

{p 0 7}{space 1}{text:( 1)}{space 1} treatfull = -.087{p_end}

{txt}       F(  1,   163) ={res}   94.13
{txt}{col 13}Prob > F ={res}    0.0000

{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}       187
{txt}{col 49}F({res}   8{txt},{res}    163{txt}){col 67}= {res}      0.82
{txt}{col 49}Prob > F{col 67}= {res}    0.5849
{txt}{col 49}R-squared{col 67}= {res}    0.1631
{txt}{col 49}Adj R-squared{col 67}= {res}    0.0450
{txt}{col 49}Root MSE{col 67}= {res}    0.0535

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}e_mortrat~05{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2}-.0102805{col 26}{space 2} .0079077{col 37}{space 1}   -1.30{col 46}{space 3}0.195{col 54}{space 4}-.0258953{col 67}{space 3} .0053342
{txt}b_mortrat~05 {c |}{col 14}{res}{space 2} .0712443{col 26}{space 2} .0625629{col 37}{space 1}    1.14{col 46}{space 3}0.256{col 54}{space 4} -.052294{col 67}{space 3} .1947826
{txt}c_tf~_hc_hc2 {c |}{col 14}{res}{space 2} .0049443{col 26}{space 2} .0115866{col 37}{space 1}    0.43{col 46}{space 3}0.670{col 54}{space 4} -.017935{col 67}{space 3} .0278236
{txt}c_tfull_hc~l {c |}{col 14}{res}{space 2} .0021414{col 26}{space 2} .0116084{col 37}{space 1}    0.18{col 46}{space 3}0.854{col 54}{space 4}-.0207808{col 67}{space 3} .0250636
{txt}c_tfull_hc~s {c |}{col 14}{res}{space 2}-.0060544{col 26}{space 2} .0168002{col 37}{space 1}   -0.36{col 46}{space 3}0.719{col 54}{space 4}-.0392284{col 67}{space 3} .0271197
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2}-.0366629{col 26}{space 2} .0456674{col 37}{space 1}   -0.80{col 46}{space 3}0.423{col 54}{space 4}-.1268389{col 67}{space 3}  .053513
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2} -.008413{col 26}{space 2} .0053887{col 37}{space 1}   -1.56{col 46}{space 3}0.120{col 54}{space 4}-.0190536{col 67}{space 3} .0022277
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2} .0133283{col 26}{space 2} .0175399{col 37}{space 1}    0.76{col 46}{space 3}0.448{col 54}{space 4}-.0213064{col 67}{space 3}  .047963
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} .0606044{col 26}{space 2} .0062373{col 37}{space 1}    9.72{col 46}{space 3}0.000{col 54}{space 4} .0482881{col 67}{space 3} .0729207
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull = .088{p_end}

{txt}       F(  1,   163) ={res}  154.47
{txt}{col 13}Prob > F ={res}    0.0000

{p 0 7}{space 1}{text:( 1)}{space 1} treatfull = -.088{p_end}

{txt}       F(  1,   163) ={res}   96.60
{txt}{col 13}Prob > F ={res}    0.0000

{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}       187
{txt}{col 49}F({res}   8{txt},{res}    163{txt}){col 67}= {res}      0.82
{txt}{col 49}Prob > F{col 67}= {res}    0.5849
{txt}{col 49}R-squared{col 67}= {res}    0.1631
{txt}{col 49}Adj R-squared{col 67}= {res}    0.0450
{txt}{col 49}Root MSE{col 67}= {res}    0.0535

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}e_mortrat~05{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2}-.0102805{col 26}{space 2} .0079077{col 37}{space 1}   -1.30{col 46}{space 3}0.195{col 54}{space 4}-.0258953{col 67}{space 3} .0053342
{txt}b_mortrat~05 {c |}{col 14}{res}{space 2} .0712443{col 26}{space 2} .0625629{col 37}{space 1}    1.14{col 46}{space 3}0.256{col 54}{space 4} -.052294{col 67}{space 3} .1947826
{txt}c_tf~_hc_hc2 {c |}{col 14}{res}{space 2} .0049443{col 26}{space 2} .0115866{col 37}{space 1}    0.43{col 46}{space 3}0.670{col 54}{space 4} -.017935{col 67}{space 3} .0278236
{txt}c_tfull_hc~l {c |}{col 14}{res}{space 2} .0021414{col 26}{space 2} .0116084{col 37}{space 1}    0.18{col 46}{space 3}0.854{col 54}{space 4}-.0207808{col 67}{space 3} .0250636
{txt}c_tfull_hc~s {c |}{col 14}{res}{space 2}-.0060544{col 26}{space 2} .0168002{col 37}{space 1}   -0.36{col 46}{space 3}0.719{col 54}{space 4}-.0392284{col 67}{space 3} .0271197
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2}-.0366629{col 26}{space 2} .0456674{col 37}{space 1}   -0.80{col 46}{space 3}0.423{col 54}{space 4}-.1268389{col 67}{space 3}  .053513
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2} -.008413{col 26}{space 2} .0053887{col 37}{space 1}   -1.56{col 46}{space 3}0.120{col 54}{space 4}-.0190536{col 67}{space 3} .0022277
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2} .0133283{col 26}{space 2} .0175399{col 37}{space 1}    0.76{col 46}{space 3}0.448{col 54}{space 4}-.0213064{col 67}{space 3}  .047963
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} .0606044{col 26}{space 2} .0062373{col 37}{space 1}    9.72{col 46}{space 3}0.000{col 54}{space 4} .0482881{col 67}{space 3} .0729207
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull = .089{p_end}

{txt}       F(  1,   163) ={res}  157.63
{txt}{col 13}Prob > F ={res}    0.0000

{p 0 7}{space 1}{text:( 1)}{space 1} treatfull = -.089{p_end}

{txt}       F(  1,   163) ={res}   99.10
{txt}{col 13}Prob > F ={res}    0.0000

{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}       187
{txt}{col 49}F({res}   8{txt},{res}    163{txt}){col 67}= {res}      0.82
{txt}{col 49}Prob > F{col 67}= {res}    0.5849
{txt}{col 49}R-squared{col 67}= {res}    0.1631
{txt}{col 49}Adj R-squared{col 67}= {res}    0.0450
{txt}{col 49}Root MSE{col 67}= {res}    0.0535

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}e_mortrat~05{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2}-.0102805{col 26}{space 2} .0079077{col 37}{space 1}   -1.30{col 46}{space 3}0.195{col 54}{space 4}-.0258953{col 67}{space 3} .0053342
{txt}b_mortrat~05 {c |}{col 14}{res}{space 2} .0712443{col 26}{space 2} .0625629{col 37}{space 1}    1.14{col 46}{space 3}0.256{col 54}{space 4} -.052294{col 67}{space 3} .1947826
{txt}c_tf~_hc_hc2 {c |}{col 14}{res}{space 2} .0049443{col 26}{space 2} .0115866{col 37}{space 1}    0.43{col 46}{space 3}0.670{col 54}{space 4} -.017935{col 67}{space 3} .0278236
{txt}c_tfull_hc~l {c |}{col 14}{res}{space 2} .0021414{col 26}{space 2} .0116084{col 37}{space 1}    0.18{col 46}{space 3}0.854{col 54}{space 4}-.0207808{col 67}{space 3} .0250636
{txt}c_tfull_hc~s {c |}{col 14}{res}{space 2}-.0060544{col 26}{space 2} .0168002{col 37}{space 1}   -0.36{col 46}{space 3}0.719{col 54}{space 4}-.0392284{col 67}{space 3} .0271197
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2}-.0366629{col 26}{space 2} .0456674{col 37}{space 1}   -0.80{col 46}{space 3}0.423{col 54}{space 4}-.1268389{col 67}{space 3}  .053513
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2} -.008413{col 26}{space 2} .0053887{col 37}{space 1}   -1.56{col 46}{space 3}0.120{col 54}{space 4}-.0190536{col 67}{space 3} .0022277
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2} .0133283{col 26}{space 2} .0175399{col 37}{space 1}    0.76{col 46}{space 3}0.448{col 54}{space 4}-.0213064{col 67}{space 3}  .047963
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} .0606044{col 26}{space 2} .0062373{col 37}{space 1}    9.72{col 46}{space 3}0.000{col 54}{space 4} .0482881{col 67}{space 3} .0729207
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull = .09{p_end}

{txt}       F(  1,   163) ={res}  160.82
{txt}{col 13}Prob > F ={res}    0.0000

{p 0 7}{space 1}{text:( 1)}{space 1} treatfull = -.09{p_end}

{txt}       F(  1,   163) ={res}  101.63
{txt}{col 13}Prob > F ={res}    0.0000

{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}       187
{txt}{col 49}F({res}   8{txt},{res}    163{txt}){col 67}= {res}      0.82
{txt}{col 49}Prob > F{col 67}= {res}    0.5849
{txt}{col 49}R-squared{col 67}= {res}    0.1631
{txt}{col 49}Adj R-squared{col 67}= {res}    0.0450
{txt}{col 49}Root MSE{col 67}= {res}    0.0535

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}e_mortrat~05{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2}-.0102805{col 26}{space 2} .0079077{col 37}{space 1}   -1.30{col 46}{space 3}0.195{col 54}{space 4}-.0258953{col 67}{space 3} .0053342
{txt}b_mortrat~05 {c |}{col 14}{res}{space 2} .0712443{col 26}{space 2} .0625629{col 37}{space 1}    1.14{col 46}{space 3}0.256{col 54}{space 4} -.052294{col 67}{space 3} .1947826
{txt}c_tf~_hc_hc2 {c |}{col 14}{res}{space 2} .0049443{col 26}{space 2} .0115866{col 37}{space 1}    0.43{col 46}{space 3}0.670{col 54}{space 4} -.017935{col 67}{space 3} .0278236
{txt}c_tfull_hc~l {c |}{col 14}{res}{space 2} .0021414{col 26}{space 2} .0116084{col 37}{space 1}    0.18{col 46}{space 3}0.854{col 54}{space 4}-.0207808{col 67}{space 3} .0250636
{txt}c_tfull_hc~s {c |}{col 14}{res}{space 2}-.0060544{col 26}{space 2} .0168002{col 37}{space 1}   -0.36{col 46}{space 3}0.719{col 54}{space 4}-.0392284{col 67}{space 3} .0271197
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2}-.0366629{col 26}{space 2} .0456674{col 37}{space 1}   -0.80{col 46}{space 3}0.423{col 54}{space 4}-.1268389{col 67}{space 3}  .053513
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2} -.008413{col 26}{space 2} .0053887{col 37}{space 1}   -1.56{col 46}{space 3}0.120{col 54}{space 4}-.0190536{col 67}{space 3} .0022277
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2} .0133283{col 26}{space 2} .0175399{col 37}{space 1}    0.76{col 46}{space 3}0.448{col 54}{space 4}-.0213064{col 67}{space 3}  .047963
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} .0606044{col 26}{space 2} .0062373{col 37}{space 1}    9.72{col 46}{space 3}0.000{col 54}{space 4} .0482881{col 67}{space 3} .0729207
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull = .091{p_end}

{txt}       F(  1,   163) ={res}  164.04
{txt}{col 13}Prob > F ={res}    0.0000

{p 0 7}{space 1}{text:( 1)}{space 1} treatfull = -.091{p_end}

{txt}       F(  1,   163) ={res}  104.20
{txt}{col 13}Prob > F ={res}    0.0000

{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}       187
{txt}{col 49}F({res}   8{txt},{res}    163{txt}){col 67}= {res}      0.82
{txt}{col 49}Prob > F{col 67}= {res}    0.5849
{txt}{col 49}R-squared{col 67}= {res}    0.1631
{txt}{col 49}Adj R-squared{col 67}= {res}    0.0450
{txt}{col 49}Root MSE{col 67}= {res}    0.0535

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}e_mortrat~05{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2}-.0102805{col 26}{space 2} .0079077{col 37}{space 1}   -1.30{col 46}{space 3}0.195{col 54}{space 4}-.0258953{col 67}{space 3} .0053342
{txt}b_mortrat~05 {c |}{col 14}{res}{space 2} .0712443{col 26}{space 2} .0625629{col 37}{space 1}    1.14{col 46}{space 3}0.256{col 54}{space 4} -.052294{col 67}{space 3} .1947826
{txt}c_tf~_hc_hc2 {c |}{col 14}{res}{space 2} .0049443{col 26}{space 2} .0115866{col 37}{space 1}    0.43{col 46}{space 3}0.670{col 54}{space 4} -.017935{col 67}{space 3} .0278236
{txt}c_tfull_hc~l {c |}{col 14}{res}{space 2} .0021414{col 26}{space 2} .0116084{col 37}{space 1}    0.18{col 46}{space 3}0.854{col 54}{space 4}-.0207808{col 67}{space 3} .0250636
{txt}c_tfull_hc~s {c |}{col 14}{res}{space 2}-.0060544{col 26}{space 2} .0168002{col 37}{space 1}   -0.36{col 46}{space 3}0.719{col 54}{space 4}-.0392284{col 67}{space 3} .0271197
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2}-.0366629{col 26}{space 2} .0456674{col 37}{space 1}   -0.80{col 46}{space 3}0.423{col 54}{space 4}-.1268389{col 67}{space 3}  .053513
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2} -.008413{col 26}{space 2} .0053887{col 37}{space 1}   -1.56{col 46}{space 3}0.120{col 54}{space 4}-.0190536{col 67}{space 3} .0022277
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2} .0133283{col 26}{space 2} .0175399{col 37}{space 1}    0.76{col 46}{space 3}0.448{col 54}{space 4}-.0213064{col 67}{space 3}  .047963
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} .0606044{col 26}{space 2} .0062373{col 37}{space 1}    9.72{col 46}{space 3}0.000{col 54}{space 4} .0482881{col 67}{space 3} .0729207
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull = .092{p_end}

{txt}       F(  1,   163) ={res}  167.30
{txt}{col 13}Prob > F ={res}    0.0000

{p 0 7}{space 1}{text:( 1)}{space 1} treatfull = -.092{p_end}

{txt}       F(  1,   163) ={res}  106.79
{txt}{col 13}Prob > F ={res}    0.0000

{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}       187
{txt}{col 49}F({res}   8{txt},{res}    163{txt}){col 67}= {res}      0.82
{txt}{col 49}Prob > F{col 67}= {res}    0.5849
{txt}{col 49}R-squared{col 67}= {res}    0.1631
{txt}{col 49}Adj R-squared{col 67}= {res}    0.0450
{txt}{col 49}Root MSE{col 67}= {res}    0.0535

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}e_mortrat~05{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2}-.0102805{col 26}{space 2} .0079077{col 37}{space 1}   -1.30{col 46}{space 3}0.195{col 54}{space 4}-.0258953{col 67}{space 3} .0053342
{txt}b_mortrat~05 {c |}{col 14}{res}{space 2} .0712443{col 26}{space 2} .0625629{col 37}{space 1}    1.14{col 46}{space 3}0.256{col 54}{space 4} -.052294{col 67}{space 3} .1947826
{txt}c_tf~_hc_hc2 {c |}{col 14}{res}{space 2} .0049443{col 26}{space 2} .0115866{col 37}{space 1}    0.43{col 46}{space 3}0.670{col 54}{space 4} -.017935{col 67}{space 3} .0278236
{txt}c_tfull_hc~l {c |}{col 14}{res}{space 2} .0021414{col 26}{space 2} .0116084{col 37}{space 1}    0.18{col 46}{space 3}0.854{col 54}{space 4}-.0207808{col 67}{space 3} .0250636
{txt}c_tfull_hc~s {c |}{col 14}{res}{space 2}-.0060544{col 26}{space 2} .0168002{col 37}{space 1}   -0.36{col 46}{space 3}0.719{col 54}{space 4}-.0392284{col 67}{space 3} .0271197
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2}-.0366629{col 26}{space 2} .0456674{col 37}{space 1}   -0.80{col 46}{space 3}0.423{col 54}{space 4}-.1268389{col 67}{space 3}  .053513
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2} -.008413{col 26}{space 2} .0053887{col 37}{space 1}   -1.56{col 46}{space 3}0.120{col 54}{space 4}-.0190536{col 67}{space 3} .0022277
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2} .0133283{col 26}{space 2} .0175399{col 37}{space 1}    0.76{col 46}{space 3}0.448{col 54}{space 4}-.0213064{col 67}{space 3}  .047963
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} .0606044{col 26}{space 2} .0062373{col 37}{space 1}    9.72{col 46}{space 3}0.000{col 54}{space 4} .0482881{col 67}{space 3} .0729207
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull = .093{p_end}

{txt}       F(  1,   163) ={res}  170.58
{txt}{col 13}Prob > F ={res}    0.0000

{p 0 7}{space 1}{text:( 1)}{space 1} treatfull = -.093{p_end}

{txt}       F(  1,   163) ={res}  109.42
{txt}{col 13}Prob > F ={res}    0.0000

{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}       187
{txt}{col 49}F({res}   8{txt},{res}    163{txt}){col 67}= {res}      0.82
{txt}{col 49}Prob > F{col 67}= {res}    0.5849
{txt}{col 49}R-squared{col 67}= {res}    0.1631
{txt}{col 49}Adj R-squared{col 67}= {res}    0.0450
{txt}{col 49}Root MSE{col 67}= {res}    0.0535

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}e_mortrat~05{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2}-.0102805{col 26}{space 2} .0079077{col 37}{space 1}   -1.30{col 46}{space 3}0.195{col 54}{space 4}-.0258953{col 67}{space 3} .0053342
{txt}b_mortrat~05 {c |}{col 14}{res}{space 2} .0712443{col 26}{space 2} .0625629{col 37}{space 1}    1.14{col 46}{space 3}0.256{col 54}{space 4} -.052294{col 67}{space 3} .1947826
{txt}c_tf~_hc_hc2 {c |}{col 14}{res}{space 2} .0049443{col 26}{space 2} .0115866{col 37}{space 1}    0.43{col 46}{space 3}0.670{col 54}{space 4} -.017935{col 67}{space 3} .0278236
{txt}c_tfull_hc~l {c |}{col 14}{res}{space 2} .0021414{col 26}{space 2} .0116084{col 37}{space 1}    0.18{col 46}{space 3}0.854{col 54}{space 4}-.0207808{col 67}{space 3} .0250636
{txt}c_tfull_hc~s {c |}{col 14}{res}{space 2}-.0060544{col 26}{space 2} .0168002{col 37}{space 1}   -0.36{col 46}{space 3}0.719{col 54}{space 4}-.0392284{col 67}{space 3} .0271197
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2}-.0366629{col 26}{space 2} .0456674{col 37}{space 1}   -0.80{col 46}{space 3}0.423{col 54}{space 4}-.1268389{col 67}{space 3}  .053513
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2} -.008413{col 26}{space 2} .0053887{col 37}{space 1}   -1.56{col 46}{space 3}0.120{col 54}{space 4}-.0190536{col 67}{space 3} .0022277
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2} .0133283{col 26}{space 2} .0175399{col 37}{space 1}    0.76{col 46}{space 3}0.448{col 54}{space 4}-.0213064{col 67}{space 3}  .047963
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} .0606044{col 26}{space 2} .0062373{col 37}{space 1}    9.72{col 46}{space 3}0.000{col 54}{space 4} .0482881{col 67}{space 3} .0729207
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull = .094{p_end}

{txt}       F(  1,   163) ={res}  173.90
{txt}{col 13}Prob > F ={res}    0.0000

{p 0 7}{space 1}{text:( 1)}{space 1} treatfull = -.094{p_end}

{txt}       F(  1,   163) ={res}  112.09
{txt}{col 13}Prob > F ={res}    0.0000

{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}       187
{txt}{col 49}F({res}   8{txt},{res}    163{txt}){col 67}= {res}      0.82
{txt}{col 49}Prob > F{col 67}= {res}    0.5849
{txt}{col 49}R-squared{col 67}= {res}    0.1631
{txt}{col 49}Adj R-squared{col 67}= {res}    0.0450
{txt}{col 49}Root MSE{col 67}= {res}    0.0535

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}e_mortrat~05{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2}-.0102805{col 26}{space 2} .0079077{col 37}{space 1}   -1.30{col 46}{space 3}0.195{col 54}{space 4}-.0258953{col 67}{space 3} .0053342
{txt}b_mortrat~05 {c |}{col 14}{res}{space 2} .0712443{col 26}{space 2} .0625629{col 37}{space 1}    1.14{col 46}{space 3}0.256{col 54}{space 4} -.052294{col 67}{space 3} .1947826
{txt}c_tf~_hc_hc2 {c |}{col 14}{res}{space 2} .0049443{col 26}{space 2} .0115866{col 37}{space 1}    0.43{col 46}{space 3}0.670{col 54}{space 4} -.017935{col 67}{space 3} .0278236
{txt}c_tfull_hc~l {c |}{col 14}{res}{space 2} .0021414{col 26}{space 2} .0116084{col 37}{space 1}    0.18{col 46}{space 3}0.854{col 54}{space 4}-.0207808{col 67}{space 3} .0250636
{txt}c_tfull_hc~s {c |}{col 14}{res}{space 2}-.0060544{col 26}{space 2} .0168002{col 37}{space 1}   -0.36{col 46}{space 3}0.719{col 54}{space 4}-.0392284{col 67}{space 3} .0271197
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2}-.0366629{col 26}{space 2} .0456674{col 37}{space 1}   -0.80{col 46}{space 3}0.423{col 54}{space 4}-.1268389{col 67}{space 3}  .053513
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2} -.008413{col 26}{space 2} .0053887{col 37}{space 1}   -1.56{col 46}{space 3}0.120{col 54}{space 4}-.0190536{col 67}{space 3} .0022277
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2} .0133283{col 26}{space 2} .0175399{col 37}{space 1}    0.76{col 46}{space 3}0.448{col 54}{space 4}-.0213064{col 67}{space 3}  .047963
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} .0606044{col 26}{space 2} .0062373{col 37}{space 1}    9.72{col 46}{space 3}0.000{col 54}{space 4} .0482881{col 67}{space 3} .0729207
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull = .095{p_end}

{txt}       F(  1,   163) ={res}  177.25
{txt}{col 13}Prob > F ={res}    0.0000

{p 0 7}{space 1}{text:( 1)}{space 1} treatfull = -.095{p_end}

{txt}       F(  1,   163) ={res}  114.78
{txt}{col 13}Prob > F ={res}    0.0000

{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}       187
{txt}{col 49}F({res}   8{txt},{res}    163{txt}){col 67}= {res}      0.82
{txt}{col 49}Prob > F{col 67}= {res}    0.5849
{txt}{col 49}R-squared{col 67}= {res}    0.1631
{txt}{col 49}Adj R-squared{col 67}= {res}    0.0450
{txt}{col 49}Root MSE{col 67}= {res}    0.0535

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}e_mortrat~05{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2}-.0102805{col 26}{space 2} .0079077{col 37}{space 1}   -1.30{col 46}{space 3}0.195{col 54}{space 4}-.0258953{col 67}{space 3} .0053342
{txt}b_mortrat~05 {c |}{col 14}{res}{space 2} .0712443{col 26}{space 2} .0625629{col 37}{space 1}    1.14{col 46}{space 3}0.256{col 54}{space 4} -.052294{col 67}{space 3} .1947826
{txt}c_tf~_hc_hc2 {c |}{col 14}{res}{space 2} .0049443{col 26}{space 2} .0115866{col 37}{space 1}    0.43{col 46}{space 3}0.670{col 54}{space 4} -.017935{col 67}{space 3} .0278236
{txt}c_tfull_hc~l {c |}{col 14}{res}{space 2} .0021414{col 26}{space 2} .0116084{col 37}{space 1}    0.18{col 46}{space 3}0.854{col 54}{space 4}-.0207808{col 67}{space 3} .0250636
{txt}c_tfull_hc~s {c |}{col 14}{res}{space 2}-.0060544{col 26}{space 2} .0168002{col 37}{space 1}   -0.36{col 46}{space 3}0.719{col 54}{space 4}-.0392284{col 67}{space 3} .0271197
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2}-.0366629{col 26}{space 2} .0456674{col 37}{space 1}   -0.80{col 46}{space 3}0.423{col 54}{space 4}-.1268389{col 67}{space 3}  .053513
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2} -.008413{col 26}{space 2} .0053887{col 37}{space 1}   -1.56{col 46}{space 3}0.120{col 54}{space 4}-.0190536{col 67}{space 3} .0022277
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2} .0133283{col 26}{space 2} .0175399{col 37}{space 1}    0.76{col 46}{space 3}0.448{col 54}{space 4}-.0213064{col 67}{space 3}  .047963
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} .0606044{col 26}{space 2} .0062373{col 37}{space 1}    9.72{col 46}{space 3}0.000{col 54}{space 4} .0482881{col 67}{space 3} .0729207
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull = .096{p_end}

{txt}       F(  1,   163) ={res}  180.64
{txt}{col 13}Prob > F ={res}    0.0000

{p 0 7}{space 1}{text:( 1)}{space 1} treatfull = -.096{p_end}

{txt}       F(  1,   163) ={res}  117.51
{txt}{col 13}Prob > F ={res}    0.0000

{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}       187
{txt}{col 49}F({res}   8{txt},{res}    163{txt}){col 67}= {res}      0.82
{txt}{col 49}Prob > F{col 67}= {res}    0.5849
{txt}{col 49}R-squared{col 67}= {res}    0.1631
{txt}{col 49}Adj R-squared{col 67}= {res}    0.0450
{txt}{col 49}Root MSE{col 67}= {res}    0.0535

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}e_mortrat~05{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2}-.0102805{col 26}{space 2} .0079077{col 37}{space 1}   -1.30{col 46}{space 3}0.195{col 54}{space 4}-.0258953{col 67}{space 3} .0053342
{txt}b_mortrat~05 {c |}{col 14}{res}{space 2} .0712443{col 26}{space 2} .0625629{col 37}{space 1}    1.14{col 46}{space 3}0.256{col 54}{space 4} -.052294{col 67}{space 3} .1947826
{txt}c_tf~_hc_hc2 {c |}{col 14}{res}{space 2} .0049443{col 26}{space 2} .0115866{col 37}{space 1}    0.43{col 46}{space 3}0.670{col 54}{space 4} -.017935{col 67}{space 3} .0278236
{txt}c_tfull_hc~l {c |}{col 14}{res}{space 2} .0021414{col 26}{space 2} .0116084{col 37}{space 1}    0.18{col 46}{space 3}0.854{col 54}{space 4}-.0207808{col 67}{space 3} .0250636
{txt}c_tfull_hc~s {c |}{col 14}{res}{space 2}-.0060544{col 26}{space 2} .0168002{col 37}{space 1}   -0.36{col 46}{space 3}0.719{col 54}{space 4}-.0392284{col 67}{space 3} .0271197
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2}-.0366629{col 26}{space 2} .0456674{col 37}{space 1}   -0.80{col 46}{space 3}0.423{col 54}{space 4}-.1268389{col 67}{space 3}  .053513
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2} -.008413{col 26}{space 2} .0053887{col 37}{space 1}   -1.56{col 46}{space 3}0.120{col 54}{space 4}-.0190536{col 67}{space 3} .0022277
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2} .0133283{col 26}{space 2} .0175399{col 37}{space 1}    0.76{col 46}{space 3}0.448{col 54}{space 4}-.0213064{col 67}{space 3}  .047963
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} .0606044{col 26}{space 2} .0062373{col 37}{space 1}    9.72{col 46}{space 3}0.000{col 54}{space 4} .0482881{col 67}{space 3} .0729207
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull = .097{p_end}

{txt}       F(  1,   163) ={res}  184.05
{txt}{col 13}Prob > F ={res}    0.0000

{p 0 7}{space 1}{text:( 1)}{space 1} treatfull = -.097{p_end}

{txt}       F(  1,   163) ={res}  120.26
{txt}{col 13}Prob > F ={res}    0.0000

{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}       187
{txt}{col 49}F({res}   8{txt},{res}    163{txt}){col 67}= {res}      0.82
{txt}{col 49}Prob > F{col 67}= {res}    0.5849
{txt}{col 49}R-squared{col 67}= {res}    0.1631
{txt}{col 49}Adj R-squared{col 67}= {res}    0.0450
{txt}{col 49}Root MSE{col 67}= {res}    0.0535

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}e_mortrat~05{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2}-.0102805{col 26}{space 2} .0079077{col 37}{space 1}   -1.30{col 46}{space 3}0.195{col 54}{space 4}-.0258953{col 67}{space 3} .0053342
{txt}b_mortrat~05 {c |}{col 14}{res}{space 2} .0712443{col 26}{space 2} .0625629{col 37}{space 1}    1.14{col 46}{space 3}0.256{col 54}{space 4} -.052294{col 67}{space 3} .1947826
{txt}c_tf~_hc_hc2 {c |}{col 14}{res}{space 2} .0049443{col 26}{space 2} .0115866{col 37}{space 1}    0.43{col 46}{space 3}0.670{col 54}{space 4} -.017935{col 67}{space 3} .0278236
{txt}c_tfull_hc~l {c |}{col 14}{res}{space 2} .0021414{col 26}{space 2} .0116084{col 37}{space 1}    0.18{col 46}{space 3}0.854{col 54}{space 4}-.0207808{col 67}{space 3} .0250636
{txt}c_tfull_hc~s {c |}{col 14}{res}{space 2}-.0060544{col 26}{space 2} .0168002{col 37}{space 1}   -0.36{col 46}{space 3}0.719{col 54}{space 4}-.0392284{col 67}{space 3} .0271197
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2}-.0366629{col 26}{space 2} .0456674{col 37}{space 1}   -0.80{col 46}{space 3}0.423{col 54}{space 4}-.1268389{col 67}{space 3}  .053513
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2} -.008413{col 26}{space 2} .0053887{col 37}{space 1}   -1.56{col 46}{space 3}0.120{col 54}{space 4}-.0190536{col 67}{space 3} .0022277
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2} .0133283{col 26}{space 2} .0175399{col 37}{space 1}    0.76{col 46}{space 3}0.448{col 54}{space 4}-.0213064{col 67}{space 3}  .047963
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} .0606044{col 26}{space 2} .0062373{col 37}{space 1}    9.72{col 46}{space 3}0.000{col 54}{space 4} .0482881{col 67}{space 3} .0729207
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull = .098{p_end}

{txt}       F(  1,   163) ={res}  187.50
{txt}{col 13}Prob > F ={res}    0.0000

{p 0 7}{space 1}{text:( 1)}{space 1} treatfull = -.098{p_end}

{txt}       F(  1,   163) ={res}  123.05
{txt}{col 13}Prob > F ={res}    0.0000

{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}       187
{txt}{col 49}F({res}   8{txt},{res}    163{txt}){col 67}= {res}      0.82
{txt}{col 49}Prob > F{col 67}= {res}    0.5849
{txt}{col 49}R-squared{col 67}= {res}    0.1631
{txt}{col 49}Adj R-squared{col 67}= {res}    0.0450
{txt}{col 49}Root MSE{col 67}= {res}    0.0535

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}e_mortrat~05{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2}-.0102805{col 26}{space 2} .0079077{col 37}{space 1}   -1.30{col 46}{space 3}0.195{col 54}{space 4}-.0258953{col 67}{space 3} .0053342
{txt}b_mortrat~05 {c |}{col 14}{res}{space 2} .0712443{col 26}{space 2} .0625629{col 37}{space 1}    1.14{col 46}{space 3}0.256{col 54}{space 4} -.052294{col 67}{space 3} .1947826
{txt}c_tf~_hc_hc2 {c |}{col 14}{res}{space 2} .0049443{col 26}{space 2} .0115866{col 37}{space 1}    0.43{col 46}{space 3}0.670{col 54}{space 4} -.017935{col 67}{space 3} .0278236
{txt}c_tfull_hc~l {c |}{col 14}{res}{space 2} .0021414{col 26}{space 2} .0116084{col 37}{space 1}    0.18{col 46}{space 3}0.854{col 54}{space 4}-.0207808{col 67}{space 3} .0250636
{txt}c_tfull_hc~s {c |}{col 14}{res}{space 2}-.0060544{col 26}{space 2} .0168002{col 37}{space 1}   -0.36{col 46}{space 3}0.719{col 54}{space 4}-.0392284{col 67}{space 3} .0271197
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2}-.0366629{col 26}{space 2} .0456674{col 37}{space 1}   -0.80{col 46}{space 3}0.423{col 54}{space 4}-.1268389{col 67}{space 3}  .053513
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2} -.008413{col 26}{space 2} .0053887{col 37}{space 1}   -1.56{col 46}{space 3}0.120{col 54}{space 4}-.0190536{col 67}{space 3} .0022277
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2} .0133283{col 26}{space 2} .0175399{col 37}{space 1}    0.76{col 46}{space 3}0.448{col 54}{space 4}-.0213064{col 67}{space 3}  .047963
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} .0606044{col 26}{space 2} .0062373{col 37}{space 1}    9.72{col 46}{space 3}0.000{col 54}{space 4} .0482881{col 67}{space 3} .0729207
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull = .099{p_end}

{txt}       F(  1,   163) ={res}  190.98
{txt}{col 13}Prob > F ={res}    0.0000

{p 0 7}{space 1}{text:( 1)}{space 1} treatfull = -.099{p_end}

{txt}       F(  1,   163) ={res}  125.87
{txt}{col 13}Prob > F ={res}    0.0000

{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}       187
{txt}{col 49}F({res}   8{txt},{res}    163{txt}){col 67}= {res}      0.82
{txt}{col 49}Prob > F{col 67}= {res}    0.5849
{txt}{col 49}R-squared{col 67}= {res}    0.1631
{txt}{col 49}Adj R-squared{col 67}= {res}    0.0450
{txt}{col 49}Root MSE{col 67}= {res}    0.0535

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}e_mortrat~05{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2}-.0102805{col 26}{space 2} .0079077{col 37}{space 1}   -1.30{col 46}{space 3}0.195{col 54}{space 4}-.0258953{col 67}{space 3} .0053342
{txt}b_mortrat~05 {c |}{col 14}{res}{space 2} .0712443{col 26}{space 2} .0625629{col 37}{space 1}    1.14{col 46}{space 3}0.256{col 54}{space 4} -.052294{col 67}{space 3} .1947826
{txt}c_tf~_hc_hc2 {c |}{col 14}{res}{space 2} .0049443{col 26}{space 2} .0115866{col 37}{space 1}    0.43{col 46}{space 3}0.670{col 54}{space 4} -.017935{col 67}{space 3} .0278236
{txt}c_tfull_hc~l {c |}{col 14}{res}{space 2} .0021414{col 26}{space 2} .0116084{col 37}{space 1}    0.18{col 46}{space 3}0.854{col 54}{space 4}-.0207808{col 67}{space 3} .0250636
{txt}c_tfull_hc~s {c |}{col 14}{res}{space 2}-.0060544{col 26}{space 2} .0168002{col 37}{space 1}   -0.36{col 46}{space 3}0.719{col 54}{space 4}-.0392284{col 67}{space 3} .0271197
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2}-.0366629{col 26}{space 2} .0456674{col 37}{space 1}   -0.80{col 46}{space 3}0.423{col 54}{space 4}-.1268389{col 67}{space 3}  .053513
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2} -.008413{col 26}{space 2} .0053887{col 37}{space 1}   -1.56{col 46}{space 3}0.120{col 54}{space 4}-.0190536{col 67}{space 3} .0022277
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2} .0133283{col 26}{space 2} .0175399{col 37}{space 1}    0.76{col 46}{space 3}0.448{col 54}{space 4}-.0213064{col 67}{space 3}  .047963
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} .0606044{col 26}{space 2} .0062373{col 37}{space 1}    9.72{col 46}{space 3}0.000{col 54}{space 4} .0482881{col 67}{space 3} .0729207
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull = .1{p_end}

{txt}       F(  1,   163) ={res}  194.49
{txt}{col 13}Prob > F ={res}    0.0000

{p 0 7}{space 1}{text:( 1)}{space 1} treatfull = -.1{p_end}

{txt}       F(  1,   163) ={res}  128.73
{txt}{col 13}Prob > F ={res}    0.0000

{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}       187
{txt}{col 49}F({res}   8{txt},{res}    163{txt}){col 67}= {res}      0.82
{txt}{col 49}Prob > F{col 67}= {res}    0.5849
{txt}{col 49}R-squared{col 67}= {res}    0.1631
{txt}{col 49}Adj R-squared{col 67}= {res}    0.0450
{txt}{col 49}Root MSE{col 67}= {res}    0.0535

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}e_mortrat~05{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2}-.0102805{col 26}{space 2} .0079077{col 37}{space 1}   -1.30{col 46}{space 3}0.195{col 54}{space 4}-.0258953{col 67}{space 3} .0053342
{txt}b_mortrat~05 {c |}{col 14}{res}{space 2} .0712443{col 26}{space 2} .0625629{col 37}{space 1}    1.14{col 46}{space 3}0.256{col 54}{space 4} -.052294{col 67}{space 3} .1947826
{txt}c_tf~_hc_hc2 {c |}{col 14}{res}{space 2} .0049443{col 26}{space 2} .0115866{col 37}{space 1}    0.43{col 46}{space 3}0.670{col 54}{space 4} -.017935{col 67}{space 3} .0278236
{txt}c_tfull_hc~l {c |}{col 14}{res}{space 2} .0021414{col 26}{space 2} .0116084{col 37}{space 1}    0.18{col 46}{space 3}0.854{col 54}{space 4}-.0207808{col 67}{space 3} .0250636
{txt}c_tfull_hc~s {c |}{col 14}{res}{space 2}-.0060544{col 26}{space 2} .0168002{col 37}{space 1}   -0.36{col 46}{space 3}0.719{col 54}{space 4}-.0392284{col 67}{space 3} .0271197
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2}-.0366629{col 26}{space 2} .0456674{col 37}{space 1}   -0.80{col 46}{space 3}0.423{col 54}{space 4}-.1268389{col 67}{space 3}  .053513
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2} -.008413{col 26}{space 2} .0053887{col 37}{space 1}   -1.56{col 46}{space 3}0.120{col 54}{space 4}-.0190536{col 67}{space 3} .0022277
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2} .0133283{col 26}{space 2} .0175399{col 37}{space 1}    0.76{col 46}{space 3}0.448{col 54}{space 4}-.0213064{col 67}{space 3}  .047963
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} .0606044{col 26}{space 2} .0062373{col 37}{space 1}    9.72{col 46}{space 3}0.000{col 54}{space 4} .0482881{col 67}{space 3} .0729207
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull = .101{p_end}

{txt}       F(  1,   163) ={res}  198.03
{txt}{col 13}Prob > F ={res}    0.0000

{p 0 7}{space 1}{text:( 1)}{space 1} treatfull = -.101{p_end}

{txt}       F(  1,   163) ={res}  131.61
{txt}{col 13}Prob > F ={res}    0.0000

{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}       187
{txt}{col 49}F({res}   8{txt},{res}    163{txt}){col 67}= {res}      0.82
{txt}{col 49}Prob > F{col 67}= {res}    0.5849
{txt}{col 49}R-squared{col 67}= {res}    0.1631
{txt}{col 49}Adj R-squared{col 67}= {res}    0.0450
{txt}{col 49}Root MSE{col 67}= {res}    0.0535

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}e_mortrat~05{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2}-.0102805{col 26}{space 2} .0079077{col 37}{space 1}   -1.30{col 46}{space 3}0.195{col 54}{space 4}-.0258953{col 67}{space 3} .0053342
{txt}b_mortrat~05 {c |}{col 14}{res}{space 2} .0712443{col 26}{space 2} .0625629{col 37}{space 1}    1.14{col 46}{space 3}0.256{col 54}{space 4} -.052294{col 67}{space 3} .1947826
{txt}c_tf~_hc_hc2 {c |}{col 14}{res}{space 2} .0049443{col 26}{space 2} .0115866{col 37}{space 1}    0.43{col 46}{space 3}0.670{col 54}{space 4} -.017935{col 67}{space 3} .0278236
{txt}c_tfull_hc~l {c |}{col 14}{res}{space 2} .0021414{col 26}{space 2} .0116084{col 37}{space 1}    0.18{col 46}{space 3}0.854{col 54}{space 4}-.0207808{col 67}{space 3} .0250636
{txt}c_tfull_hc~s {c |}{col 14}{res}{space 2}-.0060544{col 26}{space 2} .0168002{col 37}{space 1}   -0.36{col 46}{space 3}0.719{col 54}{space 4}-.0392284{col 67}{space 3} .0271197
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2}-.0366629{col 26}{space 2} .0456674{col 37}{space 1}   -0.80{col 46}{space 3}0.423{col 54}{space 4}-.1268389{col 67}{space 3}  .053513
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2} -.008413{col 26}{space 2} .0053887{col 37}{space 1}   -1.56{col 46}{space 3}0.120{col 54}{space 4}-.0190536{col 67}{space 3} .0022277
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2} .0133283{col 26}{space 2} .0175399{col 37}{space 1}    0.76{col 46}{space 3}0.448{col 54}{space 4}-.0213064{col 67}{space 3}  .047963
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} .0606044{col 26}{space 2} .0062373{col 37}{space 1}    9.72{col 46}{space 3}0.000{col 54}{space 4} .0482881{col 67}{space 3} .0729207
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull = .102{p_end}

{txt}       F(  1,   163) ={res}  201.61
{txt}{col 13}Prob > F ={res}    0.0000

{p 0 7}{space 1}{text:( 1)}{space 1} treatfull = -.102{p_end}

{txt}       F(  1,   163) ={res}  134.53
{txt}{col 13}Prob > F ={res}    0.0000

{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}       187
{txt}{col 49}F({res}   8{txt},{res}    163{txt}){col 67}= {res}      0.82
{txt}{col 49}Prob > F{col 67}= {res}    0.5849
{txt}{col 49}R-squared{col 67}= {res}    0.1631
{txt}{col 49}Adj R-squared{col 67}= {res}    0.0450
{txt}{col 49}Root MSE{col 67}= {res}    0.0535

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}e_mortrat~05{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2}-.0102805{col 26}{space 2} .0079077{col 37}{space 1}   -1.30{col 46}{space 3}0.195{col 54}{space 4}-.0258953{col 67}{space 3} .0053342
{txt}b_mortrat~05 {c |}{col 14}{res}{space 2} .0712443{col 26}{space 2} .0625629{col 37}{space 1}    1.14{col 46}{space 3}0.256{col 54}{space 4} -.052294{col 67}{space 3} .1947826
{txt}c_tf~_hc_hc2 {c |}{col 14}{res}{space 2} .0049443{col 26}{space 2} .0115866{col 37}{space 1}    0.43{col 46}{space 3}0.670{col 54}{space 4} -.017935{col 67}{space 3} .0278236
{txt}c_tfull_hc~l {c |}{col 14}{res}{space 2} .0021414{col 26}{space 2} .0116084{col 37}{space 1}    0.18{col 46}{space 3}0.854{col 54}{space 4}-.0207808{col 67}{space 3} .0250636
{txt}c_tfull_hc~s {c |}{col 14}{res}{space 2}-.0060544{col 26}{space 2} .0168002{col 37}{space 1}   -0.36{col 46}{space 3}0.719{col 54}{space 4}-.0392284{col 67}{space 3} .0271197
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2}-.0366629{col 26}{space 2} .0456674{col 37}{space 1}   -0.80{col 46}{space 3}0.423{col 54}{space 4}-.1268389{col 67}{space 3}  .053513
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2} -.008413{col 26}{space 2} .0053887{col 37}{space 1}   -1.56{col 46}{space 3}0.120{col 54}{space 4}-.0190536{col 67}{space 3} .0022277
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2} .0133283{col 26}{space 2} .0175399{col 37}{space 1}    0.76{col 46}{space 3}0.448{col 54}{space 4}-.0213064{col 67}{space 3}  .047963
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} .0606044{col 26}{space 2} .0062373{col 37}{space 1}    9.72{col 46}{space 3}0.000{col 54}{space 4} .0482881{col 67}{space 3} .0729207
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull = .103{p_end}

{txt}       F(  1,   163) ={res}  205.22
{txt}{col 13}Prob > F ={res}    0.0000

{p 0 7}{space 1}{text:( 1)}{space 1} treatfull = -.103{p_end}

{txt}       F(  1,   163) ={res}  137.48
{txt}{col 13}Prob > F ={res}    0.0000

{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}       187
{txt}{col 49}F({res}   8{txt},{res}    163{txt}){col 67}= {res}      0.82
{txt}{col 49}Prob > F{col 67}= {res}    0.5849
{txt}{col 49}R-squared{col 67}= {res}    0.1631
{txt}{col 49}Adj R-squared{col 67}= {res}    0.0450
{txt}{col 49}Root MSE{col 67}= {res}    0.0535

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}e_mortrat~05{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2}-.0102805{col 26}{space 2} .0079077{col 37}{space 1}   -1.30{col 46}{space 3}0.195{col 54}{space 4}-.0258953{col 67}{space 3} .0053342
{txt}b_mortrat~05 {c |}{col 14}{res}{space 2} .0712443{col 26}{space 2} .0625629{col 37}{space 1}    1.14{col 46}{space 3}0.256{col 54}{space 4} -.052294{col 67}{space 3} .1947826
{txt}c_tf~_hc_hc2 {c |}{col 14}{res}{space 2} .0049443{col 26}{space 2} .0115866{col 37}{space 1}    0.43{col 46}{space 3}0.670{col 54}{space 4} -.017935{col 67}{space 3} .0278236
{txt}c_tfull_hc~l {c |}{col 14}{res}{space 2} .0021414{col 26}{space 2} .0116084{col 37}{space 1}    0.18{col 46}{space 3}0.854{col 54}{space 4}-.0207808{col 67}{space 3} .0250636
{txt}c_tfull_hc~s {c |}{col 14}{res}{space 2}-.0060544{col 26}{space 2} .0168002{col 37}{space 1}   -0.36{col 46}{space 3}0.719{col 54}{space 4}-.0392284{col 67}{space 3} .0271197
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2}-.0366629{col 26}{space 2} .0456674{col 37}{space 1}   -0.80{col 46}{space 3}0.423{col 54}{space 4}-.1268389{col 67}{space 3}  .053513
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2} -.008413{col 26}{space 2} .0053887{col 37}{space 1}   -1.56{col 46}{space 3}0.120{col 54}{space 4}-.0190536{col 67}{space 3} .0022277
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2} .0133283{col 26}{space 2} .0175399{col 37}{space 1}    0.76{col 46}{space 3}0.448{col 54}{space 4}-.0213064{col 67}{space 3}  .047963
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} .0606044{col 26}{space 2} .0062373{col 37}{space 1}    9.72{col 46}{space 3}0.000{col 54}{space 4} .0482881{col 67}{space 3} .0729207
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull = .104{p_end}

{txt}       F(  1,   163) ={res}  208.85
{txt}{col 13}Prob > F ={res}    0.0000

{p 0 7}{space 1}{text:( 1)}{space 1} treatfull = -.104{p_end}

{txt}       F(  1,   163) ={res}  140.46
{txt}{col 13}Prob > F ={res}    0.0000

{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}       187
{txt}{col 49}F({res}   8{txt},{res}    163{txt}){col 67}= {res}      0.82
{txt}{col 49}Prob > F{col 67}= {res}    0.5849
{txt}{col 49}R-squared{col 67}= {res}    0.1631
{txt}{col 49}Adj R-squared{col 67}= {res}    0.0450
{txt}{col 49}Root MSE{col 67}= {res}    0.0535

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}e_mortrat~05{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2}-.0102805{col 26}{space 2} .0079077{col 37}{space 1}   -1.30{col 46}{space 3}0.195{col 54}{space 4}-.0258953{col 67}{space 3} .0053342
{txt}b_mortrat~05 {c |}{col 14}{res}{space 2} .0712443{col 26}{space 2} .0625629{col 37}{space 1}    1.14{col 46}{space 3}0.256{col 54}{space 4} -.052294{col 67}{space 3} .1947826
{txt}c_tf~_hc_hc2 {c |}{col 14}{res}{space 2} .0049443{col 26}{space 2} .0115866{col 37}{space 1}    0.43{col 46}{space 3}0.670{col 54}{space 4} -.017935{col 67}{space 3} .0278236
{txt}c_tfull_hc~l {c |}{col 14}{res}{space 2} .0021414{col 26}{space 2} .0116084{col 37}{space 1}    0.18{col 46}{space 3}0.854{col 54}{space 4}-.0207808{col 67}{space 3} .0250636
{txt}c_tfull_hc~s {c |}{col 14}{res}{space 2}-.0060544{col 26}{space 2} .0168002{col 37}{space 1}   -0.36{col 46}{space 3}0.719{col 54}{space 4}-.0392284{col 67}{space 3} .0271197
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2}-.0366629{col 26}{space 2} .0456674{col 37}{space 1}   -0.80{col 46}{space 3}0.423{col 54}{space 4}-.1268389{col 67}{space 3}  .053513
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2} -.008413{col 26}{space 2} .0053887{col 37}{space 1}   -1.56{col 46}{space 3}0.120{col 54}{space 4}-.0190536{col 67}{space 3} .0022277
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2} .0133283{col 26}{space 2} .0175399{col 37}{space 1}    0.76{col 46}{space 3}0.448{col 54}{space 4}-.0213064{col 67}{space 3}  .047963
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} .0606044{col 26}{space 2} .0062373{col 37}{space 1}    9.72{col 46}{space 3}0.000{col 54}{space 4} .0482881{col 67}{space 3} .0729207
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull = .105{p_end}

{txt}       F(  1,   163) ={res}  212.53
{txt}{col 13}Prob > F ={res}    0.0000

{p 0 7}{space 1}{text:( 1)}{space 1} treatfull = -.105{p_end}

{txt}       F(  1,   163) ={res}  143.48
{txt}{col 13}Prob > F ={res}    0.0000

{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}       187
{txt}{col 49}F({res}   8{txt},{res}    163{txt}){col 67}= {res}      0.82
{txt}{col 49}Prob > F{col 67}= {res}    0.5849
{txt}{col 49}R-squared{col 67}= {res}    0.1631
{txt}{col 49}Adj R-squared{col 67}= {res}    0.0450
{txt}{col 49}Root MSE{col 67}= {res}    0.0535

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}e_mortrat~05{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2}-.0102805{col 26}{space 2} .0079077{col 37}{space 1}   -1.30{col 46}{space 3}0.195{col 54}{space 4}-.0258953{col 67}{space 3} .0053342
{txt}b_mortrat~05 {c |}{col 14}{res}{space 2} .0712443{col 26}{space 2} .0625629{col 37}{space 1}    1.14{col 46}{space 3}0.256{col 54}{space 4} -.052294{col 67}{space 3} .1947826
{txt}c_tf~_hc_hc2 {c |}{col 14}{res}{space 2} .0049443{col 26}{space 2} .0115866{col 37}{space 1}    0.43{col 46}{space 3}0.670{col 54}{space 4} -.017935{col 67}{space 3} .0278236
{txt}c_tfull_hc~l {c |}{col 14}{res}{space 2} .0021414{col 26}{space 2} .0116084{col 37}{space 1}    0.18{col 46}{space 3}0.854{col 54}{space 4}-.0207808{col 67}{space 3} .0250636
{txt}c_tfull_hc~s {c |}{col 14}{res}{space 2}-.0060544{col 26}{space 2} .0168002{col 37}{space 1}   -0.36{col 46}{space 3}0.719{col 54}{space 4}-.0392284{col 67}{space 3} .0271197
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2}-.0366629{col 26}{space 2} .0456674{col 37}{space 1}   -0.80{col 46}{space 3}0.423{col 54}{space 4}-.1268389{col 67}{space 3}  .053513
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2} -.008413{col 26}{space 2} .0053887{col 37}{space 1}   -1.56{col 46}{space 3}0.120{col 54}{space 4}-.0190536{col 67}{space 3} .0022277
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2} .0133283{col 26}{space 2} .0175399{col 37}{space 1}    0.76{col 46}{space 3}0.448{col 54}{space 4}-.0213064{col 67}{space 3}  .047963
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} .0606044{col 26}{space 2} .0062373{col 37}{space 1}    9.72{col 46}{space 3}0.000{col 54}{space 4} .0482881{col 67}{space 3} .0729207
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull = .106{p_end}

{txt}       F(  1,   163) ={res}  216.23
{txt}{col 13}Prob > F ={res}    0.0000

{p 0 7}{space 1}{text:( 1)}{space 1} treatfull = -.106{p_end}

{txt}       F(  1,   163) ={res}  146.52
{txt}{col 13}Prob > F ={res}    0.0000

{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}       187
{txt}{col 49}F({res}   8{txt},{res}    163{txt}){col 67}= {res}      0.82
{txt}{col 49}Prob > F{col 67}= {res}    0.5849
{txt}{col 49}R-squared{col 67}= {res}    0.1631
{txt}{col 49}Adj R-squared{col 67}= {res}    0.0450
{txt}{col 49}Root MSE{col 67}= {res}    0.0535

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}e_mortrat~05{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2}-.0102805{col 26}{space 2} .0079077{col 37}{space 1}   -1.30{col 46}{space 3}0.195{col 54}{space 4}-.0258953{col 67}{space 3} .0053342
{txt}b_mortrat~05 {c |}{col 14}{res}{space 2} .0712443{col 26}{space 2} .0625629{col 37}{space 1}    1.14{col 46}{space 3}0.256{col 54}{space 4} -.052294{col 67}{space 3} .1947826
{txt}c_tf~_hc_hc2 {c |}{col 14}{res}{space 2} .0049443{col 26}{space 2} .0115866{col 37}{space 1}    0.43{col 46}{space 3}0.670{col 54}{space 4} -.017935{col 67}{space 3} .0278236
{txt}c_tfull_hc~l {c |}{col 14}{res}{space 2} .0021414{col 26}{space 2} .0116084{col 37}{space 1}    0.18{col 46}{space 3}0.854{col 54}{space 4}-.0207808{col 67}{space 3} .0250636
{txt}c_tfull_hc~s {c |}{col 14}{res}{space 2}-.0060544{col 26}{space 2} .0168002{col 37}{space 1}   -0.36{col 46}{space 3}0.719{col 54}{space 4}-.0392284{col 67}{space 3} .0271197
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2}-.0366629{col 26}{space 2} .0456674{col 37}{space 1}   -0.80{col 46}{space 3}0.423{col 54}{space 4}-.1268389{col 67}{space 3}  .053513
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2} -.008413{col 26}{space 2} .0053887{col 37}{space 1}   -1.56{col 46}{space 3}0.120{col 54}{space 4}-.0190536{col 67}{space 3} .0022277
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2} .0133283{col 26}{space 2} .0175399{col 37}{space 1}    0.76{col 46}{space 3}0.448{col 54}{space 4}-.0213064{col 67}{space 3}  .047963
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} .0606044{col 26}{space 2} .0062373{col 37}{space 1}    9.72{col 46}{space 3}0.000{col 54}{space 4} .0482881{col 67}{space 3} .0729207
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull = .107{p_end}

{txt}       F(  1,   163) ={res}  219.96
{txt}{col 13}Prob > F ={res}    0.0000

{p 0 7}{space 1}{text:( 1)}{space 1} treatfull = -.107{p_end}

{txt}       F(  1,   163) ={res}  149.60
{txt}{col 13}Prob > F ={res}    0.0000

{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}       187
{txt}{col 49}F({res}   8{txt},{res}    163{txt}){col 67}= {res}      0.82
{txt}{col 49}Prob > F{col 67}= {res}    0.5849
{txt}{col 49}R-squared{col 67}= {res}    0.1631
{txt}{col 49}Adj R-squared{col 67}= {res}    0.0450
{txt}{col 49}Root MSE{col 67}= {res}    0.0535

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}e_mortrat~05{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2}-.0102805{col 26}{space 2} .0079077{col 37}{space 1}   -1.30{col 46}{space 3}0.195{col 54}{space 4}-.0258953{col 67}{space 3} .0053342
{txt}b_mortrat~05 {c |}{col 14}{res}{space 2} .0712443{col 26}{space 2} .0625629{col 37}{space 1}    1.14{col 46}{space 3}0.256{col 54}{space 4} -.052294{col 67}{space 3} .1947826
{txt}c_tf~_hc_hc2 {c |}{col 14}{res}{space 2} .0049443{col 26}{space 2} .0115866{col 37}{space 1}    0.43{col 46}{space 3}0.670{col 54}{space 4} -.017935{col 67}{space 3} .0278236
{txt}c_tfull_hc~l {c |}{col 14}{res}{space 2} .0021414{col 26}{space 2} .0116084{col 37}{space 1}    0.18{col 46}{space 3}0.854{col 54}{space 4}-.0207808{col 67}{space 3} .0250636
{txt}c_tfull_hc~s {c |}{col 14}{res}{space 2}-.0060544{col 26}{space 2} .0168002{col 37}{space 1}   -0.36{col 46}{space 3}0.719{col 54}{space 4}-.0392284{col 67}{space 3} .0271197
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2}-.0366629{col 26}{space 2} .0456674{col 37}{space 1}   -0.80{col 46}{space 3}0.423{col 54}{space 4}-.1268389{col 67}{space 3}  .053513
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2} -.008413{col 26}{space 2} .0053887{col 37}{space 1}   -1.56{col 46}{space 3}0.120{col 54}{space 4}-.0190536{col 67}{space 3} .0022277
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2} .0133283{col 26}{space 2} .0175399{col 37}{space 1}    0.76{col 46}{space 3}0.448{col 54}{space 4}-.0213064{col 67}{space 3}  .047963
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} .0606044{col 26}{space 2} .0062373{col 37}{space 1}    9.72{col 46}{space 3}0.000{col 54}{space 4} .0482881{col 67}{space 3} .0729207
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull = .108{p_end}

{txt}       F(  1,   163) ={res}  223.73
{txt}{col 13}Prob > F ={res}    0.0000

{p 0 7}{space 1}{text:( 1)}{space 1} treatfull = -.108{p_end}

{txt}       F(  1,   163) ={res}  152.71
{txt}{col 13}Prob > F ={res}    0.0000

{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}       187
{txt}{col 49}F({res}   8{txt},{res}    163{txt}){col 67}= {res}      0.82
{txt}{col 49}Prob > F{col 67}= {res}    0.5849
{txt}{col 49}R-squared{col 67}= {res}    0.1631
{txt}{col 49}Adj R-squared{col 67}= {res}    0.0450
{txt}{col 49}Root MSE{col 67}= {res}    0.0535

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}e_mortrat~05{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2}-.0102805{col 26}{space 2} .0079077{col 37}{space 1}   -1.30{col 46}{space 3}0.195{col 54}{space 4}-.0258953{col 67}{space 3} .0053342
{txt}b_mortrat~05 {c |}{col 14}{res}{space 2} .0712443{col 26}{space 2} .0625629{col 37}{space 1}    1.14{col 46}{space 3}0.256{col 54}{space 4} -.052294{col 67}{space 3} .1947826
{txt}c_tf~_hc_hc2 {c |}{col 14}{res}{space 2} .0049443{col 26}{space 2} .0115866{col 37}{space 1}    0.43{col 46}{space 3}0.670{col 54}{space 4} -.017935{col 67}{space 3} .0278236
{txt}c_tfull_hc~l {c |}{col 14}{res}{space 2} .0021414{col 26}{space 2} .0116084{col 37}{space 1}    0.18{col 46}{space 3}0.854{col 54}{space 4}-.0207808{col 67}{space 3} .0250636
{txt}c_tfull_hc~s {c |}{col 14}{res}{space 2}-.0060544{col 26}{space 2} .0168002{col 37}{space 1}   -0.36{col 46}{space 3}0.719{col 54}{space 4}-.0392284{col 67}{space 3} .0271197
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2}-.0366629{col 26}{space 2} .0456674{col 37}{space 1}   -0.80{col 46}{space 3}0.423{col 54}{space 4}-.1268389{col 67}{space 3}  .053513
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2} -.008413{col 26}{space 2} .0053887{col 37}{space 1}   -1.56{col 46}{space 3}0.120{col 54}{space 4}-.0190536{col 67}{space 3} .0022277
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2} .0133283{col 26}{space 2} .0175399{col 37}{space 1}    0.76{col 46}{space 3}0.448{col 54}{space 4}-.0213064{col 67}{space 3}  .047963
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} .0606044{col 26}{space 2} .0062373{col 37}{space 1}    9.72{col 46}{space 3}0.000{col 54}{space 4} .0482881{col 67}{space 3} .0729207
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull = .109{p_end}

{txt}       F(  1,   163) ={res}  227.53
{txt}{col 13}Prob > F ={res}    0.0000

{p 0 7}{space 1}{text:( 1)}{space 1} treatfull = -.109{p_end}

{txt}       F(  1,   163) ={res}  155.85
{txt}{col 13}Prob > F ={res}    0.0000

{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}       187
{txt}{col 49}F({res}   8{txt},{res}    163{txt}){col 67}= {res}      0.82
{txt}{col 49}Prob > F{col 67}= {res}    0.5849
{txt}{col 49}R-squared{col 67}= {res}    0.1631
{txt}{col 49}Adj R-squared{col 67}= {res}    0.0450
{txt}{col 49}Root MSE{col 67}= {res}    0.0535

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}e_mortrat~05{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2}-.0102805{col 26}{space 2} .0079077{col 37}{space 1}   -1.30{col 46}{space 3}0.195{col 54}{space 4}-.0258953{col 67}{space 3} .0053342
{txt}b_mortrat~05 {c |}{col 14}{res}{space 2} .0712443{col 26}{space 2} .0625629{col 37}{space 1}    1.14{col 46}{space 3}0.256{col 54}{space 4} -.052294{col 67}{space 3} .1947826
{txt}c_tf~_hc_hc2 {c |}{col 14}{res}{space 2} .0049443{col 26}{space 2} .0115866{col 37}{space 1}    0.43{col 46}{space 3}0.670{col 54}{space 4} -.017935{col 67}{space 3} .0278236
{txt}c_tfull_hc~l {c |}{col 14}{res}{space 2} .0021414{col 26}{space 2} .0116084{col 37}{space 1}    0.18{col 46}{space 3}0.854{col 54}{space 4}-.0207808{col 67}{space 3} .0250636
{txt}c_tfull_hc~s {c |}{col 14}{res}{space 2}-.0060544{col 26}{space 2} .0168002{col 37}{space 1}   -0.36{col 46}{space 3}0.719{col 54}{space 4}-.0392284{col 67}{space 3} .0271197
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2}-.0366629{col 26}{space 2} .0456674{col 37}{space 1}   -0.80{col 46}{space 3}0.423{col 54}{space 4}-.1268389{col 67}{space 3}  .053513
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2} -.008413{col 26}{space 2} .0053887{col 37}{space 1}   -1.56{col 46}{space 3}0.120{col 54}{space 4}-.0190536{col 67}{space 3} .0022277
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2} .0133283{col 26}{space 2} .0175399{col 37}{space 1}    0.76{col 46}{space 3}0.448{col 54}{space 4}-.0213064{col 67}{space 3}  .047963
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} .0606044{col 26}{space 2} .0062373{col 37}{space 1}    9.72{col 46}{space 3}0.000{col 54}{space 4} .0482881{col 67}{space 3} .0729207
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull = .11{p_end}

{txt}       F(  1,   163) ={res}  231.36
{txt}{col 13}Prob > F ={res}    0.0000

{p 0 7}{space 1}{text:( 1)}{space 1} treatfull = -.11{p_end}

{txt}       F(  1,   163) ={res}  159.02
{txt}{col 13}Prob > F ={res}    0.0000

{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}       187
{txt}{col 49}F({res}   8{txt},{res}    163{txt}){col 67}= {res}      0.82
{txt}{col 49}Prob > F{col 67}= {res}    0.5849
{txt}{col 49}R-squared{col 67}= {res}    0.1631
{txt}{col 49}Adj R-squared{col 67}= {res}    0.0450
{txt}{col 49}Root MSE{col 67}= {res}    0.0535

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}e_mortrat~05{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2}-.0102805{col 26}{space 2} .0079077{col 37}{space 1}   -1.30{col 46}{space 3}0.195{col 54}{space 4}-.0258953{col 67}{space 3} .0053342
{txt}b_mortrat~05 {c |}{col 14}{res}{space 2} .0712443{col 26}{space 2} .0625629{col 37}{space 1}    1.14{col 46}{space 3}0.256{col 54}{space 4} -.052294{col 67}{space 3} .1947826
{txt}c_tf~_hc_hc2 {c |}{col 14}{res}{space 2} .0049443{col 26}{space 2} .0115866{col 37}{space 1}    0.43{col 46}{space 3}0.670{col 54}{space 4} -.017935{col 67}{space 3} .0278236
{txt}c_tfull_hc~l {c |}{col 14}{res}{space 2} .0021414{col 26}{space 2} .0116084{col 37}{space 1}    0.18{col 46}{space 3}0.854{col 54}{space 4}-.0207808{col 67}{space 3} .0250636
{txt}c_tfull_hc~s {c |}{col 14}{res}{space 2}-.0060544{col 26}{space 2} .0168002{col 37}{space 1}   -0.36{col 46}{space 3}0.719{col 54}{space 4}-.0392284{col 67}{space 3} .0271197
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2}-.0366629{col 26}{space 2} .0456674{col 37}{space 1}   -0.80{col 46}{space 3}0.423{col 54}{space 4}-.1268389{col 67}{space 3}  .053513
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2} -.008413{col 26}{space 2} .0053887{col 37}{space 1}   -1.56{col 46}{space 3}0.120{col 54}{space 4}-.0190536{col 67}{space 3} .0022277
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2} .0133283{col 26}{space 2} .0175399{col 37}{space 1}    0.76{col 46}{space 3}0.448{col 54}{space 4}-.0213064{col 67}{space 3}  .047963
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} .0606044{col 26}{space 2} .0062373{col 37}{space 1}    9.72{col 46}{space 3}0.000{col 54}{space 4} .0482881{col 67}{space 3} .0729207
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull = .111{p_end}

{txt}       F(  1,   163) ={res}  235.22
{txt}{col 13}Prob > F ={res}    0.0000

{p 0 7}{space 1}{text:( 1)}{space 1} treatfull = -.111{p_end}

{txt}       F(  1,   163) ={res}  162.23
{txt}{col 13}Prob > F ={res}    0.0000

{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}       187
{txt}{col 49}F({res}   8{txt},{res}    163{txt}){col 67}= {res}      0.82
{txt}{col 49}Prob > F{col 67}= {res}    0.5849
{txt}{col 49}R-squared{col 67}= {res}    0.1631
{txt}{col 49}Adj R-squared{col 67}= {res}    0.0450
{txt}{col 49}Root MSE{col 67}= {res}    0.0535

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}e_mortrat~05{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2}-.0102805{col 26}{space 2} .0079077{col 37}{space 1}   -1.30{col 46}{space 3}0.195{col 54}{space 4}-.0258953{col 67}{space 3} .0053342
{txt}b_mortrat~05 {c |}{col 14}{res}{space 2} .0712443{col 26}{space 2} .0625629{col 37}{space 1}    1.14{col 46}{space 3}0.256{col 54}{space 4} -.052294{col 67}{space 3} .1947826
{txt}c_tf~_hc_hc2 {c |}{col 14}{res}{space 2} .0049443{col 26}{space 2} .0115866{col 37}{space 1}    0.43{col 46}{space 3}0.670{col 54}{space 4} -.017935{col 67}{space 3} .0278236
{txt}c_tfull_hc~l {c |}{col 14}{res}{space 2} .0021414{col 26}{space 2} .0116084{col 37}{space 1}    0.18{col 46}{space 3}0.854{col 54}{space 4}-.0207808{col 67}{space 3} .0250636
{txt}c_tfull_hc~s {c |}{col 14}{res}{space 2}-.0060544{col 26}{space 2} .0168002{col 37}{space 1}   -0.36{col 46}{space 3}0.719{col 54}{space 4}-.0392284{col 67}{space 3} .0271197
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2}-.0366629{col 26}{space 2} .0456674{col 37}{space 1}   -0.80{col 46}{space 3}0.423{col 54}{space 4}-.1268389{col 67}{space 3}  .053513
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2} -.008413{col 26}{space 2} .0053887{col 37}{space 1}   -1.56{col 46}{space 3}0.120{col 54}{space 4}-.0190536{col 67}{space 3} .0022277
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2} .0133283{col 26}{space 2} .0175399{col 37}{space 1}    0.76{col 46}{space 3}0.448{col 54}{space 4}-.0213064{col 67}{space 3}  .047963
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} .0606044{col 26}{space 2} .0062373{col 37}{space 1}    9.72{col 46}{space 3}0.000{col 54}{space 4} .0482881{col 67}{space 3} .0729207
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull = .112{p_end}

{txt}       F(  1,   163) ={res}  239.12
{txt}{col 13}Prob > F ={res}    0.0000

{p 0 7}{space 1}{text:( 1)}{space 1} treatfull = -.112{p_end}

{txt}       F(  1,   163) ={res}  165.47
{txt}{col 13}Prob > F ={res}    0.0000

{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}       187
{txt}{col 49}F({res}   8{txt},{res}    163{txt}){col 67}= {res}      0.82
{txt}{col 49}Prob > F{col 67}= {res}    0.5849
{txt}{col 49}R-squared{col 67}= {res}    0.1631
{txt}{col 49}Adj R-squared{col 67}= {res}    0.0450
{txt}{col 49}Root MSE{col 67}= {res}    0.0535

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}e_mortrat~05{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2}-.0102805{col 26}{space 2} .0079077{col 37}{space 1}   -1.30{col 46}{space 3}0.195{col 54}{space 4}-.0258953{col 67}{space 3} .0053342
{txt}b_mortrat~05 {c |}{col 14}{res}{space 2} .0712443{col 26}{space 2} .0625629{col 37}{space 1}    1.14{col 46}{space 3}0.256{col 54}{space 4} -.052294{col 67}{space 3} .1947826
{txt}c_tf~_hc_hc2 {c |}{col 14}{res}{space 2} .0049443{col 26}{space 2} .0115866{col 37}{space 1}    0.43{col 46}{space 3}0.670{col 54}{space 4} -.017935{col 67}{space 3} .0278236
{txt}c_tfull_hc~l {c |}{col 14}{res}{space 2} .0021414{col 26}{space 2} .0116084{col 37}{space 1}    0.18{col 46}{space 3}0.854{col 54}{space 4}-.0207808{col 67}{space 3} .0250636
{txt}c_tfull_hc~s {c |}{col 14}{res}{space 2}-.0060544{col 26}{space 2} .0168002{col 37}{space 1}   -0.36{col 46}{space 3}0.719{col 54}{space 4}-.0392284{col 67}{space 3} .0271197
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2}-.0366629{col 26}{space 2} .0456674{col 37}{space 1}   -0.80{col 46}{space 3}0.423{col 54}{space 4}-.1268389{col 67}{space 3}  .053513
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2} -.008413{col 26}{space 2} .0053887{col 37}{space 1}   -1.56{col 46}{space 3}0.120{col 54}{space 4}-.0190536{col 67}{space 3} .0022277
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2} .0133283{col 26}{space 2} .0175399{col 37}{space 1}    0.76{col 46}{space 3}0.448{col 54}{space 4}-.0213064{col 67}{space 3}  .047963
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} .0606044{col 26}{space 2} .0062373{col 37}{space 1}    9.72{col 46}{space 3}0.000{col 54}{space 4} .0482881{col 67}{space 3} .0729207
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull = .113{p_end}

{txt}       F(  1,   163) ={res}  243.05
{txt}{col 13}Prob > F ={res}    0.0000

{p 0 7}{space 1}{text:( 1)}{space 1} treatfull = -.113{p_end}

{txt}       F(  1,   163) ={res}  168.73
{txt}{col 13}Prob > F ={res}    0.0000

{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}       187
{txt}{col 49}F({res}   8{txt},{res}    163{txt}){col 67}= {res}      0.82
{txt}{col 49}Prob > F{col 67}= {res}    0.5849
{txt}{col 49}R-squared{col 67}= {res}    0.1631
{txt}{col 49}Adj R-squared{col 67}= {res}    0.0450
{txt}{col 49}Root MSE{col 67}= {res}    0.0535

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}e_mortrat~05{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2}-.0102805{col 26}{space 2} .0079077{col 37}{space 1}   -1.30{col 46}{space 3}0.195{col 54}{space 4}-.0258953{col 67}{space 3} .0053342
{txt}b_mortrat~05 {c |}{col 14}{res}{space 2} .0712443{col 26}{space 2} .0625629{col 37}{space 1}    1.14{col 46}{space 3}0.256{col 54}{space 4} -.052294{col 67}{space 3} .1947826
{txt}c_tf~_hc_hc2 {c |}{col 14}{res}{space 2} .0049443{col 26}{space 2} .0115866{col 37}{space 1}    0.43{col 46}{space 3}0.670{col 54}{space 4} -.017935{col 67}{space 3} .0278236
{txt}c_tfull_hc~l {c |}{col 14}{res}{space 2} .0021414{col 26}{space 2} .0116084{col 37}{space 1}    0.18{col 46}{space 3}0.854{col 54}{space 4}-.0207808{col 67}{space 3} .0250636
{txt}c_tfull_hc~s {c |}{col 14}{res}{space 2}-.0060544{col 26}{space 2} .0168002{col 37}{space 1}   -0.36{col 46}{space 3}0.719{col 54}{space 4}-.0392284{col 67}{space 3} .0271197
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2}-.0366629{col 26}{space 2} .0456674{col 37}{space 1}   -0.80{col 46}{space 3}0.423{col 54}{space 4}-.1268389{col 67}{space 3}  .053513
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2} -.008413{col 26}{space 2} .0053887{col 37}{space 1}   -1.56{col 46}{space 3}0.120{col 54}{space 4}-.0190536{col 67}{space 3} .0022277
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2} .0133283{col 26}{space 2} .0175399{col 37}{space 1}    0.76{col 46}{space 3}0.448{col 54}{space 4}-.0213064{col 67}{space 3}  .047963
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} .0606044{col 26}{space 2} .0062373{col 37}{space 1}    9.72{col 46}{space 3}0.000{col 54}{space 4} .0482881{col 67}{space 3} .0729207
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull = .114{p_end}

{txt}       F(  1,   163) ={res}  247.00
{txt}{col 13}Prob > F ={res}    0.0000

{p 0 7}{space 1}{text:( 1)}{space 1} treatfull = -.114{p_end}

{txt}       F(  1,   163) ={res}  172.04
{txt}{col 13}Prob > F ={res}    0.0000

{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}       187
{txt}{col 49}F({res}   8{txt},{res}    163{txt}){col 67}= {res}      0.82
{txt}{col 49}Prob > F{col 67}= {res}    0.5849
{txt}{col 49}R-squared{col 67}= {res}    0.1631
{txt}{col 49}Adj R-squared{col 67}= {res}    0.0450
{txt}{col 49}Root MSE{col 67}= {res}    0.0535

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}e_mortrat~05{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2}-.0102805{col 26}{space 2} .0079077{col 37}{space 1}   -1.30{col 46}{space 3}0.195{col 54}{space 4}-.0258953{col 67}{space 3} .0053342
{txt}b_mortrat~05 {c |}{col 14}{res}{space 2} .0712443{col 26}{space 2} .0625629{col 37}{space 1}    1.14{col 46}{space 3}0.256{col 54}{space 4} -.052294{col 67}{space 3} .1947826
{txt}c_tf~_hc_hc2 {c |}{col 14}{res}{space 2} .0049443{col 26}{space 2} .0115866{col 37}{space 1}    0.43{col 46}{space 3}0.670{col 54}{space 4} -.017935{col 67}{space 3} .0278236
{txt}c_tfull_hc~l {c |}{col 14}{res}{space 2} .0021414{col 26}{space 2} .0116084{col 37}{space 1}    0.18{col 46}{space 3}0.854{col 54}{space 4}-.0207808{col 67}{space 3} .0250636
{txt}c_tfull_hc~s {c |}{col 14}{res}{space 2}-.0060544{col 26}{space 2} .0168002{col 37}{space 1}   -0.36{col 46}{space 3}0.719{col 54}{space 4}-.0392284{col 67}{space 3} .0271197
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2}-.0366629{col 26}{space 2} .0456674{col 37}{space 1}   -0.80{col 46}{space 3}0.423{col 54}{space 4}-.1268389{col 67}{space 3}  .053513
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2} -.008413{col 26}{space 2} .0053887{col 37}{space 1}   -1.56{col 46}{space 3}0.120{col 54}{space 4}-.0190536{col 67}{space 3} .0022277
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2} .0133283{col 26}{space 2} .0175399{col 37}{space 1}    0.76{col 46}{space 3}0.448{col 54}{space 4}-.0213064{col 67}{space 3}  .047963
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} .0606044{col 26}{space 2} .0062373{col 37}{space 1}    9.72{col 46}{space 3}0.000{col 54}{space 4} .0482881{col 67}{space 3} .0729207
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull = .115{p_end}

{txt}       F(  1,   163) ={res}  251.00
{txt}{col 13}Prob > F ={res}    0.0000

{p 0 7}{space 1}{text:( 1)}{space 1} treatfull = -.115{p_end}

{txt}       F(  1,   163) ={res}  175.37
{txt}{col 13}Prob > F ={res}    0.0000

{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}       187
{txt}{col 49}F({res}   8{txt},{res}    163{txt}){col 67}= {res}      0.82
{txt}{col 49}Prob > F{col 67}= {res}    0.5849
{txt}{col 49}R-squared{col 67}= {res}    0.1631
{txt}{col 49}Adj R-squared{col 67}= {res}    0.0450
{txt}{col 49}Root MSE{col 67}= {res}    0.0535

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}e_mortrat~05{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2}-.0102805{col 26}{space 2} .0079077{col 37}{space 1}   -1.30{col 46}{space 3}0.195{col 54}{space 4}-.0258953{col 67}{space 3} .0053342
{txt}b_mortrat~05 {c |}{col 14}{res}{space 2} .0712443{col 26}{space 2} .0625629{col 37}{space 1}    1.14{col 46}{space 3}0.256{col 54}{space 4} -.052294{col 67}{space 3} .1947826
{txt}c_tf~_hc_hc2 {c |}{col 14}{res}{space 2} .0049443{col 26}{space 2} .0115866{col 37}{space 1}    0.43{col 46}{space 3}0.670{col 54}{space 4} -.017935{col 67}{space 3} .0278236
{txt}c_tfull_hc~l {c |}{col 14}{res}{space 2} .0021414{col 26}{space 2} .0116084{col 37}{space 1}    0.18{col 46}{space 3}0.854{col 54}{space 4}-.0207808{col 67}{space 3} .0250636
{txt}c_tfull_hc~s {c |}{col 14}{res}{space 2}-.0060544{col 26}{space 2} .0168002{col 37}{space 1}   -0.36{col 46}{space 3}0.719{col 54}{space 4}-.0392284{col 67}{space 3} .0271197
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2}-.0366629{col 26}{space 2} .0456674{col 37}{space 1}   -0.80{col 46}{space 3}0.423{col 54}{space 4}-.1268389{col 67}{space 3}  .053513
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2} -.008413{col 26}{space 2} .0053887{col 37}{space 1}   -1.56{col 46}{space 3}0.120{col 54}{space 4}-.0190536{col 67}{space 3} .0022277
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2} .0133283{col 26}{space 2} .0175399{col 37}{space 1}    0.76{col 46}{space 3}0.448{col 54}{space 4}-.0213064{col 67}{space 3}  .047963
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} .0606044{col 26}{space 2} .0062373{col 37}{space 1}    9.72{col 46}{space 3}0.000{col 54}{space 4} .0482881{col 67}{space 3} .0729207
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull = .116{p_end}

{txt}       F(  1,   163) ={res}  255.02
{txt}{col 13}Prob > F ={res}    0.0000

{p 0 7}{space 1}{text:( 1)}{space 1} treatfull = -.116{p_end}

{txt}       F(  1,   163) ={res}  178.73
{txt}{col 13}Prob > F ={res}    0.0000

{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}       187
{txt}{col 49}F({res}   8{txt},{res}    163{txt}){col 67}= {res}      0.82
{txt}{col 49}Prob > F{col 67}= {res}    0.5849
{txt}{col 49}R-squared{col 67}= {res}    0.1631
{txt}{col 49}Adj R-squared{col 67}= {res}    0.0450
{txt}{col 49}Root MSE{col 67}= {res}    0.0535

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}e_mortrat~05{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2}-.0102805{col 26}{space 2} .0079077{col 37}{space 1}   -1.30{col 46}{space 3}0.195{col 54}{space 4}-.0258953{col 67}{space 3} .0053342
{txt}b_mortrat~05 {c |}{col 14}{res}{space 2} .0712443{col 26}{space 2} .0625629{col 37}{space 1}    1.14{col 46}{space 3}0.256{col 54}{space 4} -.052294{col 67}{space 3} .1947826
{txt}c_tf~_hc_hc2 {c |}{col 14}{res}{space 2} .0049443{col 26}{space 2} .0115866{col 37}{space 1}    0.43{col 46}{space 3}0.670{col 54}{space 4} -.017935{col 67}{space 3} .0278236
{txt}c_tfull_hc~l {c |}{col 14}{res}{space 2} .0021414{col 26}{space 2} .0116084{col 37}{space 1}    0.18{col 46}{space 3}0.854{col 54}{space 4}-.0207808{col 67}{space 3} .0250636
{txt}c_tfull_hc~s {c |}{col 14}{res}{space 2}-.0060544{col 26}{space 2} .0168002{col 37}{space 1}   -0.36{col 46}{space 3}0.719{col 54}{space 4}-.0392284{col 67}{space 3} .0271197
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2}-.0366629{col 26}{space 2} .0456674{col 37}{space 1}   -0.80{col 46}{space 3}0.423{col 54}{space 4}-.1268389{col 67}{space 3}  .053513
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2} -.008413{col 26}{space 2} .0053887{col 37}{space 1}   -1.56{col 46}{space 3}0.120{col 54}{space 4}-.0190536{col 67}{space 3} .0022277
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2} .0133283{col 26}{space 2} .0175399{col 37}{space 1}    0.76{col 46}{space 3}0.448{col 54}{space 4}-.0213064{col 67}{space 3}  .047963
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} .0606044{col 26}{space 2} .0062373{col 37}{space 1}    9.72{col 46}{space 3}0.000{col 54}{space 4} .0482881{col 67}{space 3} .0729207
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull = .117{p_end}

{txt}       F(  1,   163) ={res}  259.07
{txt}{col 13}Prob > F ={res}    0.0000

{p 0 7}{space 1}{text:( 1)}{space 1} treatfull = -.117{p_end}

{txt}       F(  1,   163) ={res}  182.13
{txt}{col 13}Prob > F ={res}    0.0000

{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}       187
{txt}{col 49}F({res}   8{txt},{res}    163{txt}){col 67}= {res}      0.82
{txt}{col 49}Prob > F{col 67}= {res}    0.5849
{txt}{col 49}R-squared{col 67}= {res}    0.1631
{txt}{col 49}Adj R-squared{col 67}= {res}    0.0450
{txt}{col 49}Root MSE{col 67}= {res}    0.0535

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}e_mortrat~05{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2}-.0102805{col 26}{space 2} .0079077{col 37}{space 1}   -1.30{col 46}{space 3}0.195{col 54}{space 4}-.0258953{col 67}{space 3} .0053342
{txt}b_mortrat~05 {c |}{col 14}{res}{space 2} .0712443{col 26}{space 2} .0625629{col 37}{space 1}    1.14{col 46}{space 3}0.256{col 54}{space 4} -.052294{col 67}{space 3} .1947826
{txt}c_tf~_hc_hc2 {c |}{col 14}{res}{space 2} .0049443{col 26}{space 2} .0115866{col 37}{space 1}    0.43{col 46}{space 3}0.670{col 54}{space 4} -.017935{col 67}{space 3} .0278236
{txt}c_tfull_hc~l {c |}{col 14}{res}{space 2} .0021414{col 26}{space 2} .0116084{col 37}{space 1}    0.18{col 46}{space 3}0.854{col 54}{space 4}-.0207808{col 67}{space 3} .0250636
{txt}c_tfull_hc~s {c |}{col 14}{res}{space 2}-.0060544{col 26}{space 2} .0168002{col 37}{space 1}   -0.36{col 46}{space 3}0.719{col 54}{space 4}-.0392284{col 67}{space 3} .0271197
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2}-.0366629{col 26}{space 2} .0456674{col 37}{space 1}   -0.80{col 46}{space 3}0.423{col 54}{space 4}-.1268389{col 67}{space 3}  .053513
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2} -.008413{col 26}{space 2} .0053887{col 37}{space 1}   -1.56{col 46}{space 3}0.120{col 54}{space 4}-.0190536{col 67}{space 3} .0022277
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2} .0133283{col 26}{space 2} .0175399{col 37}{space 1}    0.76{col 46}{space 3}0.448{col 54}{space 4}-.0213064{col 67}{space 3}  .047963
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} .0606044{col 26}{space 2} .0062373{col 37}{space 1}    9.72{col 46}{space 3}0.000{col 54}{space 4} .0482881{col 67}{space 3} .0729207
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull = .118{p_end}

{txt}       F(  1,   163) ={res}  263.16
{txt}{col 13}Prob > F ={res}    0.0000

{p 0 7}{space 1}{text:( 1)}{space 1} treatfull = -.118{p_end}

{txt}       F(  1,   163) ={res}  185.56
{txt}{col 13}Prob > F ={res}    0.0000

{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}       187
{txt}{col 49}F({res}   8{txt},{res}    163{txt}){col 67}= {res}      0.82
{txt}{col 49}Prob > F{col 67}= {res}    0.5849
{txt}{col 49}R-squared{col 67}= {res}    0.1631
{txt}{col 49}Adj R-squared{col 67}= {res}    0.0450
{txt}{col 49}Root MSE{col 67}= {res}    0.0535

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}e_mortrat~05{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2}-.0102805{col 26}{space 2} .0079077{col 37}{space 1}   -1.30{col 46}{space 3}0.195{col 54}{space 4}-.0258953{col 67}{space 3} .0053342
{txt}b_mortrat~05 {c |}{col 14}{res}{space 2} .0712443{col 26}{space 2} .0625629{col 37}{space 1}    1.14{col 46}{space 3}0.256{col 54}{space 4} -.052294{col 67}{space 3} .1947826
{txt}c_tf~_hc_hc2 {c |}{col 14}{res}{space 2} .0049443{col 26}{space 2} .0115866{col 37}{space 1}    0.43{col 46}{space 3}0.670{col 54}{space 4} -.017935{col 67}{space 3} .0278236
{txt}c_tfull_hc~l {c |}{col 14}{res}{space 2} .0021414{col 26}{space 2} .0116084{col 37}{space 1}    0.18{col 46}{space 3}0.854{col 54}{space 4}-.0207808{col 67}{space 3} .0250636
{txt}c_tfull_hc~s {c |}{col 14}{res}{space 2}-.0060544{col 26}{space 2} .0168002{col 37}{space 1}   -0.36{col 46}{space 3}0.719{col 54}{space 4}-.0392284{col 67}{space 3} .0271197
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2}-.0366629{col 26}{space 2} .0456674{col 37}{space 1}   -0.80{col 46}{space 3}0.423{col 54}{space 4}-.1268389{col 67}{space 3}  .053513
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2} -.008413{col 26}{space 2} .0053887{col 37}{space 1}   -1.56{col 46}{space 3}0.120{col 54}{space 4}-.0190536{col 67}{space 3} .0022277
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2} .0133283{col 26}{space 2} .0175399{col 37}{space 1}    0.76{col 46}{space 3}0.448{col 54}{space 4}-.0213064{col 67}{space 3}  .047963
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} .0606044{col 26}{space 2} .0062373{col 37}{space 1}    9.72{col 46}{space 3}0.000{col 54}{space 4} .0482881{col 67}{space 3} .0729207
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull = .119{p_end}

{txt}       F(  1,   163) ={res}  267.28
{txt}{col 13}Prob > F ={res}    0.0000

{p 0 7}{space 1}{text:( 1)}{space 1} treatfull = -.119{p_end}

{txt}       F(  1,   163) ={res}  189.02
{txt}{col 13}Prob > F ={res}    0.0000

{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}       187
{txt}{col 49}F({res}   8{txt},{res}    163{txt}){col 67}= {res}      0.82
{txt}{col 49}Prob > F{col 67}= {res}    0.5849
{txt}{col 49}R-squared{col 67}= {res}    0.1631
{txt}{col 49}Adj R-squared{col 67}= {res}    0.0450
{txt}{col 49}Root MSE{col 67}= {res}    0.0535

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}e_mortrat~05{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2}-.0102805{col 26}{space 2} .0079077{col 37}{space 1}   -1.30{col 46}{space 3}0.195{col 54}{space 4}-.0258953{col 67}{space 3} .0053342
{txt}b_mortrat~05 {c |}{col 14}{res}{space 2} .0712443{col 26}{space 2} .0625629{col 37}{space 1}    1.14{col 46}{space 3}0.256{col 54}{space 4} -.052294{col 67}{space 3} .1947826
{txt}c_tf~_hc_hc2 {c |}{col 14}{res}{space 2} .0049443{col 26}{space 2} .0115866{col 37}{space 1}    0.43{col 46}{space 3}0.670{col 54}{space 4} -.017935{col 67}{space 3} .0278236
{txt}c_tfull_hc~l {c |}{col 14}{res}{space 2} .0021414{col 26}{space 2} .0116084{col 37}{space 1}    0.18{col 46}{space 3}0.854{col 54}{space 4}-.0207808{col 67}{space 3} .0250636
{txt}c_tfull_hc~s {c |}{col 14}{res}{space 2}-.0060544{col 26}{space 2} .0168002{col 37}{space 1}   -0.36{col 46}{space 3}0.719{col 54}{space 4}-.0392284{col 67}{space 3} .0271197
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2}-.0366629{col 26}{space 2} .0456674{col 37}{space 1}   -0.80{col 46}{space 3}0.423{col 54}{space 4}-.1268389{col 67}{space 3}  .053513
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2} -.008413{col 26}{space 2} .0053887{col 37}{space 1}   -1.56{col 46}{space 3}0.120{col 54}{space 4}-.0190536{col 67}{space 3} .0022277
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2} .0133283{col 26}{space 2} .0175399{col 37}{space 1}    0.76{col 46}{space 3}0.448{col 54}{space 4}-.0213064{col 67}{space 3}  .047963
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} .0606044{col 26}{space 2} .0062373{col 37}{space 1}    9.72{col 46}{space 3}0.000{col 54}{space 4} .0482881{col 67}{space 3} .0729207
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull = .12{p_end}

{txt}       F(  1,   163) ={res}  271.43
{txt}{col 13}Prob > F ={res}    0.0000

{p 0 7}{space 1}{text:( 1)}{space 1} treatfull = -.12{p_end}

{txt}       F(  1,   163) ={res}  192.52
{txt}{col 13}Prob > F ={res}    0.0000

{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}       187
{txt}{col 49}F({res}   8{txt},{res}    163{txt}){col 67}= {res}      0.82
{txt}{col 49}Prob > F{col 67}= {res}    0.5849
{txt}{col 49}R-squared{col 67}= {res}    0.1631
{txt}{col 49}Adj R-squared{col 67}= {res}    0.0450
{txt}{col 49}Root MSE{col 67}= {res}    0.0535

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}e_mortrat~05{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2}-.0102805{col 26}{space 2} .0079077{col 37}{space 1}   -1.30{col 46}{space 3}0.195{col 54}{space 4}-.0258953{col 67}{space 3} .0053342
{txt}b_mortrat~05 {c |}{col 14}{res}{space 2} .0712443{col 26}{space 2} .0625629{col 37}{space 1}    1.14{col 46}{space 3}0.256{col 54}{space 4} -.052294{col 67}{space 3} .1947826
{txt}c_tf~_hc_hc2 {c |}{col 14}{res}{space 2} .0049443{col 26}{space 2} .0115866{col 37}{space 1}    0.43{col 46}{space 3}0.670{col 54}{space 4} -.017935{col 67}{space 3} .0278236
{txt}c_tfull_hc~l {c |}{col 14}{res}{space 2} .0021414{col 26}{space 2} .0116084{col 37}{space 1}    0.18{col 46}{space 3}0.854{col 54}{space 4}-.0207808{col 67}{space 3} .0250636
{txt}c_tfull_hc~s {c |}{col 14}{res}{space 2}-.0060544{col 26}{space 2} .0168002{col 37}{space 1}   -0.36{col 46}{space 3}0.719{col 54}{space 4}-.0392284{col 67}{space 3} .0271197
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2}-.0366629{col 26}{space 2} .0456674{col 37}{space 1}   -0.80{col 46}{space 3}0.423{col 54}{space 4}-.1268389{col 67}{space 3}  .053513
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2} -.008413{col 26}{space 2} .0053887{col 37}{space 1}   -1.56{col 46}{space 3}0.120{col 54}{space 4}-.0190536{col 67}{space 3} .0022277
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2} .0133283{col 26}{space 2} .0175399{col 37}{space 1}    0.76{col 46}{space 3}0.448{col 54}{space 4}-.0213064{col 67}{space 3}  .047963
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} .0606044{col 26}{space 2} .0062373{col 37}{space 1}    9.72{col 46}{space 3}0.000{col 54}{space 4} .0482881{col 67}{space 3} .0729207
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull = .121{p_end}

{txt}       F(  1,   163) ={res}  275.61
{txt}{col 13}Prob > F ={res}    0.0000

{p 0 7}{space 1}{text:( 1)}{space 1} treatfull = -.121{p_end}

{txt}       F(  1,   163) ={res}  196.04
{txt}{col 13}Prob > F ={res}    0.0000

{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}       187
{txt}{col 49}F({res}   8{txt},{res}    163{txt}){col 67}= {res}      0.82
{txt}{col 49}Prob > F{col 67}= {res}    0.5849
{txt}{col 49}R-squared{col 67}= {res}    0.1631
{txt}{col 49}Adj R-squared{col 67}= {res}    0.0450
{txt}{col 49}Root MSE{col 67}= {res}    0.0535

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}e_mortrat~05{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2}-.0102805{col 26}{space 2} .0079077{col 37}{space 1}   -1.30{col 46}{space 3}0.195{col 54}{space 4}-.0258953{col 67}{space 3} .0053342
{txt}b_mortrat~05 {c |}{col 14}{res}{space 2} .0712443{col 26}{space 2} .0625629{col 37}{space 1}    1.14{col 46}{space 3}0.256{col 54}{space 4} -.052294{col 67}{space 3} .1947826
{txt}c_tf~_hc_hc2 {c |}{col 14}{res}{space 2} .0049443{col 26}{space 2} .0115866{col 37}{space 1}    0.43{col 46}{space 3}0.670{col 54}{space 4} -.017935{col 67}{space 3} .0278236
{txt}c_tfull_hc~l {c |}{col 14}{res}{space 2} .0021414{col 26}{space 2} .0116084{col 37}{space 1}    0.18{col 46}{space 3}0.854{col 54}{space 4}-.0207808{col 67}{space 3} .0250636
{txt}c_tfull_hc~s {c |}{col 14}{res}{space 2}-.0060544{col 26}{space 2} .0168002{col 37}{space 1}   -0.36{col 46}{space 3}0.719{col 54}{space 4}-.0392284{col 67}{space 3} .0271197
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2}-.0366629{col 26}{space 2} .0456674{col 37}{space 1}   -0.80{col 46}{space 3}0.423{col 54}{space 4}-.1268389{col 67}{space 3}  .053513
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2} -.008413{col 26}{space 2} .0053887{col 37}{space 1}   -1.56{col 46}{space 3}0.120{col 54}{space 4}-.0190536{col 67}{space 3} .0022277
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2} .0133283{col 26}{space 2} .0175399{col 37}{space 1}    0.76{col 46}{space 3}0.448{col 54}{space 4}-.0213064{col 67}{space 3}  .047963
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} .0606044{col 26}{space 2} .0062373{col 37}{space 1}    9.72{col 46}{space 3}0.000{col 54}{space 4} .0482881{col 67}{space 3} .0729207
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull = .122{p_end}

{txt}       F(  1,   163) ={res}  279.83
{txt}{col 13}Prob > F ={res}    0.0000

{p 0 7}{space 1}{text:( 1)}{space 1} treatfull = -.122{p_end}

{txt}       F(  1,   163) ={res}  199.60
{txt}{col 13}Prob > F ={res}    0.0000

{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}       187
{txt}{col 49}F({res}   8{txt},{res}    163{txt}){col 67}= {res}      0.82
{txt}{col 49}Prob > F{col 67}= {res}    0.5849
{txt}{col 49}R-squared{col 67}= {res}    0.1631
{txt}{col 49}Adj R-squared{col 67}= {res}    0.0450
{txt}{col 49}Root MSE{col 67}= {res}    0.0535

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}e_mortrat~05{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2}-.0102805{col 26}{space 2} .0079077{col 37}{space 1}   -1.30{col 46}{space 3}0.195{col 54}{space 4}-.0258953{col 67}{space 3} .0053342
{txt}b_mortrat~05 {c |}{col 14}{res}{space 2} .0712443{col 26}{space 2} .0625629{col 37}{space 1}    1.14{col 46}{space 3}0.256{col 54}{space 4} -.052294{col 67}{space 3} .1947826
{txt}c_tf~_hc_hc2 {c |}{col 14}{res}{space 2} .0049443{col 26}{space 2} .0115866{col 37}{space 1}    0.43{col 46}{space 3}0.670{col 54}{space 4} -.017935{col 67}{space 3} .0278236
{txt}c_tfull_hc~l {c |}{col 14}{res}{space 2} .0021414{col 26}{space 2} .0116084{col 37}{space 1}    0.18{col 46}{space 3}0.854{col 54}{space 4}-.0207808{col 67}{space 3} .0250636
{txt}c_tfull_hc~s {c |}{col 14}{res}{space 2}-.0060544{col 26}{space 2} .0168002{col 37}{space 1}   -0.36{col 46}{space 3}0.719{col 54}{space 4}-.0392284{col 67}{space 3} .0271197
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2}-.0366629{col 26}{space 2} .0456674{col 37}{space 1}   -0.80{col 46}{space 3}0.423{col 54}{space 4}-.1268389{col 67}{space 3}  .053513
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2} -.008413{col 26}{space 2} .0053887{col 37}{space 1}   -1.56{col 46}{space 3}0.120{col 54}{space 4}-.0190536{col 67}{space 3} .0022277
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2} .0133283{col 26}{space 2} .0175399{col 37}{space 1}    0.76{col 46}{space 3}0.448{col 54}{space 4}-.0213064{col 67}{space 3}  .047963
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} .0606044{col 26}{space 2} .0062373{col 37}{space 1}    9.72{col 46}{space 3}0.000{col 54}{space 4} .0482881{col 67}{space 3} .0729207
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull = .123{p_end}

{txt}       F(  1,   163) ={res}  284.07
{txt}{col 13}Prob > F ={res}    0.0000

{p 0 7}{space 1}{text:( 1)}{space 1} treatfull = -.123{p_end}

{txt}       F(  1,   163) ={res}  203.19
{txt}{col 13}Prob > F ={res}    0.0000

{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}       187
{txt}{col 49}F({res}   8{txt},{res}    163{txt}){col 67}= {res}      0.82
{txt}{col 49}Prob > F{col 67}= {res}    0.5849
{txt}{col 49}R-squared{col 67}= {res}    0.1631
{txt}{col 49}Adj R-squared{col 67}= {res}    0.0450
{txt}{col 49}Root MSE{col 67}= {res}    0.0535

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}e_mortrat~05{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2}-.0102805{col 26}{space 2} .0079077{col 37}{space 1}   -1.30{col 46}{space 3}0.195{col 54}{space 4}-.0258953{col 67}{space 3} .0053342
{txt}b_mortrat~05 {c |}{col 14}{res}{space 2} .0712443{col 26}{space 2} .0625629{col 37}{space 1}    1.14{col 46}{space 3}0.256{col 54}{space 4} -.052294{col 67}{space 3} .1947826
{txt}c_tf~_hc_hc2 {c |}{col 14}{res}{space 2} .0049443{col 26}{space 2} .0115866{col 37}{space 1}    0.43{col 46}{space 3}0.670{col 54}{space 4} -.017935{col 67}{space 3} .0278236
{txt}c_tfull_hc~l {c |}{col 14}{res}{space 2} .0021414{col 26}{space 2} .0116084{col 37}{space 1}    0.18{col 46}{space 3}0.854{col 54}{space 4}-.0207808{col 67}{space 3} .0250636
{txt}c_tfull_hc~s {c |}{col 14}{res}{space 2}-.0060544{col 26}{space 2} .0168002{col 37}{space 1}   -0.36{col 46}{space 3}0.719{col 54}{space 4}-.0392284{col 67}{space 3} .0271197
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2}-.0366629{col 26}{space 2} .0456674{col 37}{space 1}   -0.80{col 46}{space 3}0.423{col 54}{space 4}-.1268389{col 67}{space 3}  .053513
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2} -.008413{col 26}{space 2} .0053887{col 37}{space 1}   -1.56{col 46}{space 3}0.120{col 54}{space 4}-.0190536{col 67}{space 3} .0022277
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2} .0133283{col 26}{space 2} .0175399{col 37}{space 1}    0.76{col 46}{space 3}0.448{col 54}{space 4}-.0213064{col 67}{space 3}  .047963
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} .0606044{col 26}{space 2} .0062373{col 37}{space 1}    9.72{col 46}{space 3}0.000{col 54}{space 4} .0482881{col 67}{space 3} .0729207
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull = .124{p_end}

{txt}       F(  1,   163) ={res}  288.35
{txt}{col 13}Prob > F ={res}    0.0000

{p 0 7}{space 1}{text:( 1)}{space 1} treatfull = -.124{p_end}

{txt}       F(  1,   163) ={res}  206.81
{txt}{col 13}Prob > F ={res}    0.0000

{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}       187
{txt}{col 49}F({res}   8{txt},{res}    163{txt}){col 67}= {res}      0.82
{txt}{col 49}Prob > F{col 67}= {res}    0.5849
{txt}{col 49}R-squared{col 67}= {res}    0.1631
{txt}{col 49}Adj R-squared{col 67}= {res}    0.0450
{txt}{col 49}Root MSE{col 67}= {res}    0.0535

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}e_mortrat~05{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2}-.0102805{col 26}{space 2} .0079077{col 37}{space 1}   -1.30{col 46}{space 3}0.195{col 54}{space 4}-.0258953{col 67}{space 3} .0053342
{txt}b_mortrat~05 {c |}{col 14}{res}{space 2} .0712443{col 26}{space 2} .0625629{col 37}{space 1}    1.14{col 46}{space 3}0.256{col 54}{space 4} -.052294{col 67}{space 3} .1947826
{txt}c_tf~_hc_hc2 {c |}{col 14}{res}{space 2} .0049443{col 26}{space 2} .0115866{col 37}{space 1}    0.43{col 46}{space 3}0.670{col 54}{space 4} -.017935{col 67}{space 3} .0278236
{txt}c_tfull_hc~l {c |}{col 14}{res}{space 2} .0021414{col 26}{space 2} .0116084{col 37}{space 1}    0.18{col 46}{space 3}0.854{col 54}{space 4}-.0207808{col 67}{space 3} .0250636
{txt}c_tfull_hc~s {c |}{col 14}{res}{space 2}-.0060544{col 26}{space 2} .0168002{col 37}{space 1}   -0.36{col 46}{space 3}0.719{col 54}{space 4}-.0392284{col 67}{space 3} .0271197
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2}-.0366629{col 26}{space 2} .0456674{col 37}{space 1}   -0.80{col 46}{space 3}0.423{col 54}{space 4}-.1268389{col 67}{space 3}  .053513
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2} -.008413{col 26}{space 2} .0053887{col 37}{space 1}   -1.56{col 46}{space 3}0.120{col 54}{space 4}-.0190536{col 67}{space 3} .0022277
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2} .0133283{col 26}{space 2} .0175399{col 37}{space 1}    0.76{col 46}{space 3}0.448{col 54}{space 4}-.0213064{col 67}{space 3}  .047963
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} .0606044{col 26}{space 2} .0062373{col 37}{space 1}    9.72{col 46}{space 3}0.000{col 54}{space 4} .0482881{col 67}{space 3} .0729207
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull = .125{p_end}

{txt}       F(  1,   163) ={res}  292.66
{txt}{col 13}Prob > F ={res}    0.0000

{p 0 7}{space 1}{text:( 1)}{space 1} treatfull = -.125{p_end}

{txt}       F(  1,   163) ={res}  210.46
{txt}{col 13}Prob > F ={res}    0.0000

{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}       187
{txt}{col 49}F({res}   8{txt},{res}    163{txt}){col 67}= {res}      0.82
{txt}{col 49}Prob > F{col 67}= {res}    0.5849
{txt}{col 49}R-squared{col 67}= {res}    0.1631
{txt}{col 49}Adj R-squared{col 67}= {res}    0.0450
{txt}{col 49}Root MSE{col 67}= {res}    0.0535

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}e_mortrat~05{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2}-.0102805{col 26}{space 2} .0079077{col 37}{space 1}   -1.30{col 46}{space 3}0.195{col 54}{space 4}-.0258953{col 67}{space 3} .0053342
{txt}b_mortrat~05 {c |}{col 14}{res}{space 2} .0712443{col 26}{space 2} .0625629{col 37}{space 1}    1.14{col 46}{space 3}0.256{col 54}{space 4} -.052294{col 67}{space 3} .1947826
{txt}c_tf~_hc_hc2 {c |}{col 14}{res}{space 2} .0049443{col 26}{space 2} .0115866{col 37}{space 1}    0.43{col 46}{space 3}0.670{col 54}{space 4} -.017935{col 67}{space 3} .0278236
{txt}c_tfull_hc~l {c |}{col 14}{res}{space 2} .0021414{col 26}{space 2} .0116084{col 37}{space 1}    0.18{col 46}{space 3}0.854{col 54}{space 4}-.0207808{col 67}{space 3} .0250636
{txt}c_tfull_hc~s {c |}{col 14}{res}{space 2}-.0060544{col 26}{space 2} .0168002{col 37}{space 1}   -0.36{col 46}{space 3}0.719{col 54}{space 4}-.0392284{col 67}{space 3} .0271197
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2}-.0366629{col 26}{space 2} .0456674{col 37}{space 1}   -0.80{col 46}{space 3}0.423{col 54}{space 4}-.1268389{col 67}{space 3}  .053513
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2} -.008413{col 26}{space 2} .0053887{col 37}{space 1}   -1.56{col 46}{space 3}0.120{col 54}{space 4}-.0190536{col 67}{space 3} .0022277
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2} .0133283{col 26}{space 2} .0175399{col 37}{space 1}    0.76{col 46}{space 3}0.448{col 54}{space 4}-.0213064{col 67}{space 3}  .047963
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} .0606044{col 26}{space 2} .0062373{col 37}{space 1}    9.72{col 46}{space 3}0.000{col 54}{space 4} .0482881{col 67}{space 3} .0729207
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull = .126{p_end}

{txt}       F(  1,   163) ={res}  297.01
{txt}{col 13}Prob > F ={res}    0.0000

{p 0 7}{space 1}{text:( 1)}{space 1} treatfull = -.126{p_end}

{txt}       F(  1,   163) ={res}  214.15
{txt}{col 13}Prob > F ={res}    0.0000

{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}       187
{txt}{col 49}F({res}   8{txt},{res}    163{txt}){col 67}= {res}      0.82
{txt}{col 49}Prob > F{col 67}= {res}    0.5849
{txt}{col 49}R-squared{col 67}= {res}    0.1631
{txt}{col 49}Adj R-squared{col 67}= {res}    0.0450
{txt}{col 49}Root MSE{col 67}= {res}    0.0535

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}e_mortrat~05{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2}-.0102805{col 26}{space 2} .0079077{col 37}{space 1}   -1.30{col 46}{space 3}0.195{col 54}{space 4}-.0258953{col 67}{space 3} .0053342
{txt}b_mortrat~05 {c |}{col 14}{res}{space 2} .0712443{col 26}{space 2} .0625629{col 37}{space 1}    1.14{col 46}{space 3}0.256{col 54}{space 4} -.052294{col 67}{space 3} .1947826
{txt}c_tf~_hc_hc2 {c |}{col 14}{res}{space 2} .0049443{col 26}{space 2} .0115866{col 37}{space 1}    0.43{col 46}{space 3}0.670{col 54}{space 4} -.017935{col 67}{space 3} .0278236
{txt}c_tfull_hc~l {c |}{col 14}{res}{space 2} .0021414{col 26}{space 2} .0116084{col 37}{space 1}    0.18{col 46}{space 3}0.854{col 54}{space 4}-.0207808{col 67}{space 3} .0250636
{txt}c_tfull_hc~s {c |}{col 14}{res}{space 2}-.0060544{col 26}{space 2} .0168002{col 37}{space 1}   -0.36{col 46}{space 3}0.719{col 54}{space 4}-.0392284{col 67}{space 3} .0271197
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2}-.0366629{col 26}{space 2} .0456674{col 37}{space 1}   -0.80{col 46}{space 3}0.423{col 54}{space 4}-.1268389{col 67}{space 3}  .053513
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2} -.008413{col 26}{space 2} .0053887{col 37}{space 1}   -1.56{col 46}{space 3}0.120{col 54}{space 4}-.0190536{col 67}{space 3} .0022277
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2} .0133283{col 26}{space 2} .0175399{col 37}{space 1}    0.76{col 46}{space 3}0.448{col 54}{space 4}-.0213064{col 67}{space 3}  .047963
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} .0606044{col 26}{space 2} .0062373{col 37}{space 1}    9.72{col 46}{space 3}0.000{col 54}{space 4} .0482881{col 67}{space 3} .0729207
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull = .127{p_end}

{txt}       F(  1,   163) ={res}  301.38
{txt}{col 13}Prob > F ={res}    0.0000

{p 0 7}{space 1}{text:( 1)}{space 1} treatfull = -.127{p_end}

{txt}       F(  1,   163) ={res}  217.86
{txt}{col 13}Prob > F ={res}    0.0000

{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}       187
{txt}{col 49}F({res}   8{txt},{res}    163{txt}){col 67}= {res}      0.82
{txt}{col 49}Prob > F{col 67}= {res}    0.5849
{txt}{col 49}R-squared{col 67}= {res}    0.1631
{txt}{col 49}Adj R-squared{col 67}= {res}    0.0450
{txt}{col 49}Root MSE{col 67}= {res}    0.0535

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}e_mortrat~05{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2}-.0102805{col 26}{space 2} .0079077{col 37}{space 1}   -1.30{col 46}{space 3}0.195{col 54}{space 4}-.0258953{col 67}{space 3} .0053342
{txt}b_mortrat~05 {c |}{col 14}{res}{space 2} .0712443{col 26}{space 2} .0625629{col 37}{space 1}    1.14{col 46}{space 3}0.256{col 54}{space 4} -.052294{col 67}{space 3} .1947826
{txt}c_tf~_hc_hc2 {c |}{col 14}{res}{space 2} .0049443{col 26}{space 2} .0115866{col 37}{space 1}    0.43{col 46}{space 3}0.670{col 54}{space 4} -.017935{col 67}{space 3} .0278236
{txt}c_tfull_hc~l {c |}{col 14}{res}{space 2} .0021414{col 26}{space 2} .0116084{col 37}{space 1}    0.18{col 46}{space 3}0.854{col 54}{space 4}-.0207808{col 67}{space 3} .0250636
{txt}c_tfull_hc~s {c |}{col 14}{res}{space 2}-.0060544{col 26}{space 2} .0168002{col 37}{space 1}   -0.36{col 46}{space 3}0.719{col 54}{space 4}-.0392284{col 67}{space 3} .0271197
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2}-.0366629{col 26}{space 2} .0456674{col 37}{space 1}   -0.80{col 46}{space 3}0.423{col 54}{space 4}-.1268389{col 67}{space 3}  .053513
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2} -.008413{col 26}{space 2} .0053887{col 37}{space 1}   -1.56{col 46}{space 3}0.120{col 54}{space 4}-.0190536{col 67}{space 3} .0022277
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2} .0133283{col 26}{space 2} .0175399{col 37}{space 1}    0.76{col 46}{space 3}0.448{col 54}{space 4}-.0213064{col 67}{space 3}  .047963
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} .0606044{col 26}{space 2} .0062373{col 37}{space 1}    9.72{col 46}{space 3}0.000{col 54}{space 4} .0482881{col 67}{space 3} .0729207
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull = .128{p_end}

{txt}       F(  1,   163) ={res}  305.79
{txt}{col 13}Prob > F ={res}    0.0000

{p 0 7}{space 1}{text:( 1)}{space 1} treatfull = -.128{p_end}

{txt}       F(  1,   163) ={res}  221.61
{txt}{col 13}Prob > F ={res}    0.0000

{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}       187
{txt}{col 49}F({res}   8{txt},{res}    163{txt}){col 67}= {res}      0.82
{txt}{col 49}Prob > F{col 67}= {res}    0.5849
{txt}{col 49}R-squared{col 67}= {res}    0.1631
{txt}{col 49}Adj R-squared{col 67}= {res}    0.0450
{txt}{col 49}Root MSE{col 67}= {res}    0.0535

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}e_mortrat~05{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2}-.0102805{col 26}{space 2} .0079077{col 37}{space 1}   -1.30{col 46}{space 3}0.195{col 54}{space 4}-.0258953{col 67}{space 3} .0053342
{txt}b_mortrat~05 {c |}{col 14}{res}{space 2} .0712443{col 26}{space 2} .0625629{col 37}{space 1}    1.14{col 46}{space 3}0.256{col 54}{space 4} -.052294{col 67}{space 3} .1947826
{txt}c_tf~_hc_hc2 {c |}{col 14}{res}{space 2} .0049443{col 26}{space 2} .0115866{col 37}{space 1}    0.43{col 46}{space 3}0.670{col 54}{space 4} -.017935{col 67}{space 3} .0278236
{txt}c_tfull_hc~l {c |}{col 14}{res}{space 2} .0021414{col 26}{space 2} .0116084{col 37}{space 1}    0.18{col 46}{space 3}0.854{col 54}{space 4}-.0207808{col 67}{space 3} .0250636
{txt}c_tfull_hc~s {c |}{col 14}{res}{space 2}-.0060544{col 26}{space 2} .0168002{col 37}{space 1}   -0.36{col 46}{space 3}0.719{col 54}{space 4}-.0392284{col 67}{space 3} .0271197
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2}-.0366629{col 26}{space 2} .0456674{col 37}{space 1}   -0.80{col 46}{space 3}0.423{col 54}{space 4}-.1268389{col 67}{space 3}  .053513
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2} -.008413{col 26}{space 2} .0053887{col 37}{space 1}   -1.56{col 46}{space 3}0.120{col 54}{space 4}-.0190536{col 67}{space 3} .0022277
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2} .0133283{col 26}{space 2} .0175399{col 37}{space 1}    0.76{col 46}{space 3}0.448{col 54}{space 4}-.0213064{col 67}{space 3}  .047963
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} .0606044{col 26}{space 2} .0062373{col 37}{space 1}    9.72{col 46}{space 3}0.000{col 54}{space 4} .0482881{col 67}{space 3} .0729207
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull = .129{p_end}

{txt}       F(  1,   163) ={res}  310.23
{txt}{col 13}Prob > F ={res}    0.0000

{p 0 7}{space 1}{text:( 1)}{space 1} treatfull = -.129{p_end}

{txt}       F(  1,   163) ={res}  225.39
{txt}{col 13}Prob > F ={res}    0.0000

{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}       187
{txt}{col 49}F({res}   8{txt},{res}    163{txt}){col 67}= {res}      0.82
{txt}{col 49}Prob > F{col 67}= {res}    0.5849
{txt}{col 49}R-squared{col 67}= {res}    0.1631
{txt}{col 49}Adj R-squared{col 67}= {res}    0.0450
{txt}{col 49}Root MSE{col 67}= {res}    0.0535

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}e_mortrat~05{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2}-.0102805{col 26}{space 2} .0079077{col 37}{space 1}   -1.30{col 46}{space 3}0.195{col 54}{space 4}-.0258953{col 67}{space 3} .0053342
{txt}b_mortrat~05 {c |}{col 14}{res}{space 2} .0712443{col 26}{space 2} .0625629{col 37}{space 1}    1.14{col 46}{space 3}0.256{col 54}{space 4} -.052294{col 67}{space 3} .1947826
{txt}c_tf~_hc_hc2 {c |}{col 14}{res}{space 2} .0049443{col 26}{space 2} .0115866{col 37}{space 1}    0.43{col 46}{space 3}0.670{col 54}{space 4} -.017935{col 67}{space 3} .0278236
{txt}c_tfull_hc~l {c |}{col 14}{res}{space 2} .0021414{col 26}{space 2} .0116084{col 37}{space 1}    0.18{col 46}{space 3}0.854{col 54}{space 4}-.0207808{col 67}{space 3} .0250636
{txt}c_tfull_hc~s {c |}{col 14}{res}{space 2}-.0060544{col 26}{space 2} .0168002{col 37}{space 1}   -0.36{col 46}{space 3}0.719{col 54}{space 4}-.0392284{col 67}{space 3} .0271197
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2}-.0366629{col 26}{space 2} .0456674{col 37}{space 1}   -0.80{col 46}{space 3}0.423{col 54}{space 4}-.1268389{col 67}{space 3}  .053513
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2} -.008413{col 26}{space 2} .0053887{col 37}{space 1}   -1.56{col 46}{space 3}0.120{col 54}{space 4}-.0190536{col 67}{space 3} .0022277
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2} .0133283{col 26}{space 2} .0175399{col 37}{space 1}    0.76{col 46}{space 3}0.448{col 54}{space 4}-.0213064{col 67}{space 3}  .047963
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} .0606044{col 26}{space 2} .0062373{col 37}{space 1}    9.72{col 46}{space 3}0.000{col 54}{space 4} .0482881{col 67}{space 3} .0729207
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull = .13{p_end}

{txt}       F(  1,   163) ={res}  314.70
{txt}{col 13}Prob > F ={res}    0.0000

{p 0 7}{space 1}{text:( 1)}{space 1} treatfull = -.13{p_end}

{txt}       F(  1,   163) ={res}  229.21
{txt}{col 13}Prob > F ={res}    0.0000

{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}       187
{txt}{col 49}F({res}   8{txt},{res}    163{txt}){col 67}= {res}      0.82
{txt}{col 49}Prob > F{col 67}= {res}    0.5849
{txt}{col 49}R-squared{col 67}= {res}    0.1631
{txt}{col 49}Adj R-squared{col 67}= {res}    0.0450
{txt}{col 49}Root MSE{col 67}= {res}    0.0535

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}e_mortrat~05{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2}-.0102805{col 26}{space 2} .0079077{col 37}{space 1}   -1.30{col 46}{space 3}0.195{col 54}{space 4}-.0258953{col 67}{space 3} .0053342
{txt}b_mortrat~05 {c |}{col 14}{res}{space 2} .0712443{col 26}{space 2} .0625629{col 37}{space 1}    1.14{col 46}{space 3}0.256{col 54}{space 4} -.052294{col 67}{space 3} .1947826
{txt}c_tf~_hc_hc2 {c |}{col 14}{res}{space 2} .0049443{col 26}{space 2} .0115866{col 37}{space 1}    0.43{col 46}{space 3}0.670{col 54}{space 4} -.017935{col 67}{space 3} .0278236
{txt}c_tfull_hc~l {c |}{col 14}{res}{space 2} .0021414{col 26}{space 2} .0116084{col 37}{space 1}    0.18{col 46}{space 3}0.854{col 54}{space 4}-.0207808{col 67}{space 3} .0250636
{txt}c_tfull_hc~s {c |}{col 14}{res}{space 2}-.0060544{col 26}{space 2} .0168002{col 37}{space 1}   -0.36{col 46}{space 3}0.719{col 54}{space 4}-.0392284{col 67}{space 3} .0271197
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2}-.0366629{col 26}{space 2} .0456674{col 37}{space 1}   -0.80{col 46}{space 3}0.423{col 54}{space 4}-.1268389{col 67}{space 3}  .053513
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2} -.008413{col 26}{space 2} .0053887{col 37}{space 1}   -1.56{col 46}{space 3}0.120{col 54}{space 4}-.0190536{col 67}{space 3} .0022277
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2} .0133283{col 26}{space 2} .0175399{col 37}{space 1}    0.76{col 46}{space 3}0.448{col 54}{space 4}-.0213064{col 67}{space 3}  .047963
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} .0606044{col 26}{space 2} .0062373{col 37}{space 1}    9.72{col 46}{space 3}0.000{col 54}{space 4} .0482881{col 67}{space 3} .0729207
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull = .131{p_end}

{txt}       F(  1,   163) ={res}  319.20
{txt}{col 13}Prob > F ={res}    0.0000

{p 0 7}{space 1}{text:( 1)}{space 1} treatfull = -.131{p_end}

{txt}       F(  1,   163) ={res}  233.05
{txt}{col 13}Prob > F ={res}    0.0000

{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}       187
{txt}{col 49}F({res}   8{txt},{res}    163{txt}){col 67}= {res}      0.82
{txt}{col 49}Prob > F{col 67}= {res}    0.5849
{txt}{col 49}R-squared{col 67}= {res}    0.1631
{txt}{col 49}Adj R-squared{col 67}= {res}    0.0450
{txt}{col 49}Root MSE{col 67}= {res}    0.0535

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}e_mortrat~05{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2}-.0102805{col 26}{space 2} .0079077{col 37}{space 1}   -1.30{col 46}{space 3}0.195{col 54}{space 4}-.0258953{col 67}{space 3} .0053342
{txt}b_mortrat~05 {c |}{col 14}{res}{space 2} .0712443{col 26}{space 2} .0625629{col 37}{space 1}    1.14{col 46}{space 3}0.256{col 54}{space 4} -.052294{col 67}{space 3} .1947826
{txt}c_tf~_hc_hc2 {c |}{col 14}{res}{space 2} .0049443{col 26}{space 2} .0115866{col 37}{space 1}    0.43{col 46}{space 3}0.670{col 54}{space 4} -.017935{col 67}{space 3} .0278236
{txt}c_tfull_hc~l {c |}{col 14}{res}{space 2} .0021414{col 26}{space 2} .0116084{col 37}{space 1}    0.18{col 46}{space 3}0.854{col 54}{space 4}-.0207808{col 67}{space 3} .0250636
{txt}c_tfull_hc~s {c |}{col 14}{res}{space 2}-.0060544{col 26}{space 2} .0168002{col 37}{space 1}   -0.36{col 46}{space 3}0.719{col 54}{space 4}-.0392284{col 67}{space 3} .0271197
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2}-.0366629{col 26}{space 2} .0456674{col 37}{space 1}   -0.80{col 46}{space 3}0.423{col 54}{space 4}-.1268389{col 67}{space 3}  .053513
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2} -.008413{col 26}{space 2} .0053887{col 37}{space 1}   -1.56{col 46}{space 3}0.120{col 54}{space 4}-.0190536{col 67}{space 3} .0022277
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2} .0133283{col 26}{space 2} .0175399{col 37}{space 1}    0.76{col 46}{space 3}0.448{col 54}{space 4}-.0213064{col 67}{space 3}  .047963
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} .0606044{col 26}{space 2} .0062373{col 37}{space 1}    9.72{col 46}{space 3}0.000{col 54}{space 4} .0482881{col 67}{space 3} .0729207
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull = .132{p_end}

{txt}       F(  1,   163) ={res}  323.73
{txt}{col 13}Prob > F ={res}    0.0000

{p 0 7}{space 1}{text:( 1)}{space 1} treatfull = -.132{p_end}

{txt}       F(  1,   163) ={res}  236.93
{txt}{col 13}Prob > F ={res}    0.0000

{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}       187
{txt}{col 49}F({res}   8{txt},{res}    163{txt}){col 67}= {res}      0.82
{txt}{col 49}Prob > F{col 67}= {res}    0.5849
{txt}{col 49}R-squared{col 67}= {res}    0.1631
{txt}{col 49}Adj R-squared{col 67}= {res}    0.0450
{txt}{col 49}Root MSE{col 67}= {res}    0.0535

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}e_mortrat~05{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2}-.0102805{col 26}{space 2} .0079077{col 37}{space 1}   -1.30{col 46}{space 3}0.195{col 54}{space 4}-.0258953{col 67}{space 3} .0053342
{txt}b_mortrat~05 {c |}{col 14}{res}{space 2} .0712443{col 26}{space 2} .0625629{col 37}{space 1}    1.14{col 46}{space 3}0.256{col 54}{space 4} -.052294{col 67}{space 3} .1947826
{txt}c_tf~_hc_hc2 {c |}{col 14}{res}{space 2} .0049443{col 26}{space 2} .0115866{col 37}{space 1}    0.43{col 46}{space 3}0.670{col 54}{space 4} -.017935{col 67}{space 3} .0278236
{txt}c_tfull_hc~l {c |}{col 14}{res}{space 2} .0021414{col 26}{space 2} .0116084{col 37}{space 1}    0.18{col 46}{space 3}0.854{col 54}{space 4}-.0207808{col 67}{space 3} .0250636
{txt}c_tfull_hc~s {c |}{col 14}{res}{space 2}-.0060544{col 26}{space 2} .0168002{col 37}{space 1}   -0.36{col 46}{space 3}0.719{col 54}{space 4}-.0392284{col 67}{space 3} .0271197
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2}-.0366629{col 26}{space 2} .0456674{col 37}{space 1}   -0.80{col 46}{space 3}0.423{col 54}{space 4}-.1268389{col 67}{space 3}  .053513
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2} -.008413{col 26}{space 2} .0053887{col 37}{space 1}   -1.56{col 46}{space 3}0.120{col 54}{space 4}-.0190536{col 67}{space 3} .0022277
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2} .0133283{col 26}{space 2} .0175399{col 37}{space 1}    0.76{col 46}{space 3}0.448{col 54}{space 4}-.0213064{col 67}{space 3}  .047963
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} .0606044{col 26}{space 2} .0062373{col 37}{space 1}    9.72{col 46}{space 3}0.000{col 54}{space 4} .0482881{col 67}{space 3} .0729207
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull = .133{p_end}

{txt}       F(  1,   163) ={res}  328.30
{txt}{col 13}Prob > F ={res}    0.0000

{p 0 7}{space 1}{text:( 1)}{space 1} treatfull = -.133{p_end}

{txt}       F(  1,   163) ={res}  240.84
{txt}{col 13}Prob > F ={res}    0.0000

{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}       187
{txt}{col 49}F({res}   8{txt},{res}    163{txt}){col 67}= {res}      0.82
{txt}{col 49}Prob > F{col 67}= {res}    0.5849
{txt}{col 49}R-squared{col 67}= {res}    0.1631
{txt}{col 49}Adj R-squared{col 67}= {res}    0.0450
{txt}{col 49}Root MSE{col 67}= {res}    0.0535

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}e_mortrat~05{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2}-.0102805{col 26}{space 2} .0079077{col 37}{space 1}   -1.30{col 46}{space 3}0.195{col 54}{space 4}-.0258953{col 67}{space 3} .0053342
{txt}b_mortrat~05 {c |}{col 14}{res}{space 2} .0712443{col 26}{space 2} .0625629{col 37}{space 1}    1.14{col 46}{space 3}0.256{col 54}{space 4} -.052294{col 67}{space 3} .1947826
{txt}c_tf~_hc_hc2 {c |}{col 14}{res}{space 2} .0049443{col 26}{space 2} .0115866{col 37}{space 1}    0.43{col 46}{space 3}0.670{col 54}{space 4} -.017935{col 67}{space 3} .0278236
{txt}c_tfull_hc~l {c |}{col 14}{res}{space 2} .0021414{col 26}{space 2} .0116084{col 37}{space 1}    0.18{col 46}{space 3}0.854{col 54}{space 4}-.0207808{col 67}{space 3} .0250636
{txt}c_tfull_hc~s {c |}{col 14}{res}{space 2}-.0060544{col 26}{space 2} .0168002{col 37}{space 1}   -0.36{col 46}{space 3}0.719{col 54}{space 4}-.0392284{col 67}{space 3} .0271197
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2}-.0366629{col 26}{space 2} .0456674{col 37}{space 1}   -0.80{col 46}{space 3}0.423{col 54}{space 4}-.1268389{col 67}{space 3}  .053513
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2} -.008413{col 26}{space 2} .0053887{col 37}{space 1}   -1.56{col 46}{space 3}0.120{col 54}{space 4}-.0190536{col 67}{space 3} .0022277
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2} .0133283{col 26}{space 2} .0175399{col 37}{space 1}    0.76{col 46}{space 3}0.448{col 54}{space 4}-.0213064{col 67}{space 3}  .047963
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} .0606044{col 26}{space 2} .0062373{col 37}{space 1}    9.72{col 46}{space 3}0.000{col 54}{space 4} .0482881{col 67}{space 3} .0729207
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull = .134{p_end}

{txt}       F(  1,   163) ={res}  332.90
{txt}{col 13}Prob > F ={res}    0.0000

{p 0 7}{space 1}{text:( 1)}{space 1} treatfull = -.134{p_end}

{txt}       F(  1,   163) ={res}  244.78
{txt}{col 13}Prob > F ={res}    0.0000

{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}       187
{txt}{col 49}F({res}   8{txt},{res}    163{txt}){col 67}= {res}      0.82
{txt}{col 49}Prob > F{col 67}= {res}    0.5849
{txt}{col 49}R-squared{col 67}= {res}    0.1631
{txt}{col 49}Adj R-squared{col 67}= {res}    0.0450
{txt}{col 49}Root MSE{col 67}= {res}    0.0535

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}e_mortrat~05{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2}-.0102805{col 26}{space 2} .0079077{col 37}{space 1}   -1.30{col 46}{space 3}0.195{col 54}{space 4}-.0258953{col 67}{space 3} .0053342
{txt}b_mortrat~05 {c |}{col 14}{res}{space 2} .0712443{col 26}{space 2} .0625629{col 37}{space 1}    1.14{col 46}{space 3}0.256{col 54}{space 4} -.052294{col 67}{space 3} .1947826
{txt}c_tf~_hc_hc2 {c |}{col 14}{res}{space 2} .0049443{col 26}{space 2} .0115866{col 37}{space 1}    0.43{col 46}{space 3}0.670{col 54}{space 4} -.017935{col 67}{space 3} .0278236
{txt}c_tfull_hc~l {c |}{col 14}{res}{space 2} .0021414{col 26}{space 2} .0116084{col 37}{space 1}    0.18{col 46}{space 3}0.854{col 54}{space 4}-.0207808{col 67}{space 3} .0250636
{txt}c_tfull_hc~s {c |}{col 14}{res}{space 2}-.0060544{col 26}{space 2} .0168002{col 37}{space 1}   -0.36{col 46}{space 3}0.719{col 54}{space 4}-.0392284{col 67}{space 3} .0271197
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2}-.0366629{col 26}{space 2} .0456674{col 37}{space 1}   -0.80{col 46}{space 3}0.423{col 54}{space 4}-.1268389{col 67}{space 3}  .053513
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2} -.008413{col 26}{space 2} .0053887{col 37}{space 1}   -1.56{col 46}{space 3}0.120{col 54}{space 4}-.0190536{col 67}{space 3} .0022277
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2} .0133283{col 26}{space 2} .0175399{col 37}{space 1}    0.76{col 46}{space 3}0.448{col 54}{space 4}-.0213064{col 67}{space 3}  .047963
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} .0606044{col 26}{space 2} .0062373{col 37}{space 1}    9.72{col 46}{space 3}0.000{col 54}{space 4} .0482881{col 67}{space 3} .0729207
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull = .135{p_end}

{txt}       F(  1,   163) ={res}  337.53
{txt}{col 13}Prob > F ={res}    0.0000

{p 0 7}{space 1}{text:( 1)}{space 1} treatfull = -.135{p_end}

{txt}       F(  1,   163) ={res}  248.75
{txt}{col 13}Prob > F ={res}    0.0000

{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}       187
{txt}{col 49}F({res}   8{txt},{res}    163{txt}){col 67}= {res}      0.82
{txt}{col 49}Prob > F{col 67}= {res}    0.5849
{txt}{col 49}R-squared{col 67}= {res}    0.1631
{txt}{col 49}Adj R-squared{col 67}= {res}    0.0450
{txt}{col 49}Root MSE{col 67}= {res}    0.0535

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}e_mortrat~05{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2}-.0102805{col 26}{space 2} .0079077{col 37}{space 1}   -1.30{col 46}{space 3}0.195{col 54}{space 4}-.0258953{col 67}{space 3} .0053342
{txt}b_mortrat~05 {c |}{col 14}{res}{space 2} .0712443{col 26}{space 2} .0625629{col 37}{space 1}    1.14{col 46}{space 3}0.256{col 54}{space 4} -.052294{col 67}{space 3} .1947826
{txt}c_tf~_hc_hc2 {c |}{col 14}{res}{space 2} .0049443{col 26}{space 2} .0115866{col 37}{space 1}    0.43{col 46}{space 3}0.670{col 54}{space 4} -.017935{col 67}{space 3} .0278236
{txt}c_tfull_hc~l {c |}{col 14}{res}{space 2} .0021414{col 26}{space 2} .0116084{col 37}{space 1}    0.18{col 46}{space 3}0.854{col 54}{space 4}-.0207808{col 67}{space 3} .0250636
{txt}c_tfull_hc~s {c |}{col 14}{res}{space 2}-.0060544{col 26}{space 2} .0168002{col 37}{space 1}   -0.36{col 46}{space 3}0.719{col 54}{space 4}-.0392284{col 67}{space 3} .0271197
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2}-.0366629{col 26}{space 2} .0456674{col 37}{space 1}   -0.80{col 46}{space 3}0.423{col 54}{space 4}-.1268389{col 67}{space 3}  .053513
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2} -.008413{col 26}{space 2} .0053887{col 37}{space 1}   -1.56{col 46}{space 3}0.120{col 54}{space 4}-.0190536{col 67}{space 3} .0022277
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2} .0133283{col 26}{space 2} .0175399{col 37}{space 1}    0.76{col 46}{space 3}0.448{col 54}{space 4}-.0213064{col 67}{space 3}  .047963
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} .0606044{col 26}{space 2} .0062373{col 37}{space 1}    9.72{col 46}{space 3}0.000{col 54}{space 4} .0482881{col 67}{space 3} .0729207
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull = .136{p_end}

{txt}       F(  1,   163) ={res}  342.19
{txt}{col 13}Prob > F ={res}    0.0000

{p 0 7}{space 1}{text:( 1)}{space 1} treatfull = -.136{p_end}

{txt}       F(  1,   163) ={res}  252.76
{txt}{col 13}Prob > F ={res}    0.0000

{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}       187
{txt}{col 49}F({res}   8{txt},{res}    163{txt}){col 67}= {res}      0.82
{txt}{col 49}Prob > F{col 67}= {res}    0.5849
{txt}{col 49}R-squared{col 67}= {res}    0.1631
{txt}{col 49}Adj R-squared{col 67}= {res}    0.0450
{txt}{col 49}Root MSE{col 67}= {res}    0.0535

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}e_mortrat~05{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2}-.0102805{col 26}{space 2} .0079077{col 37}{space 1}   -1.30{col 46}{space 3}0.195{col 54}{space 4}-.0258953{col 67}{space 3} .0053342
{txt}b_mortrat~05 {c |}{col 14}{res}{space 2} .0712443{col 26}{space 2} .0625629{col 37}{space 1}    1.14{col 46}{space 3}0.256{col 54}{space 4} -.052294{col 67}{space 3} .1947826
{txt}c_tf~_hc_hc2 {c |}{col 14}{res}{space 2} .0049443{col 26}{space 2} .0115866{col 37}{space 1}    0.43{col 46}{space 3}0.670{col 54}{space 4} -.017935{col 67}{space 3} .0278236
{txt}c_tfull_hc~l {c |}{col 14}{res}{space 2} .0021414{col 26}{space 2} .0116084{col 37}{space 1}    0.18{col 46}{space 3}0.854{col 54}{space 4}-.0207808{col 67}{space 3} .0250636
{txt}c_tfull_hc~s {c |}{col 14}{res}{space 2}-.0060544{col 26}{space 2} .0168002{col 37}{space 1}   -0.36{col 46}{space 3}0.719{col 54}{space 4}-.0392284{col 67}{space 3} .0271197
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2}-.0366629{col 26}{space 2} .0456674{col 37}{space 1}   -0.80{col 46}{space 3}0.423{col 54}{space 4}-.1268389{col 67}{space 3}  .053513
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2} -.008413{col 26}{space 2} .0053887{col 37}{space 1}   -1.56{col 46}{space 3}0.120{col 54}{space 4}-.0190536{col 67}{space 3} .0022277
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2} .0133283{col 26}{space 2} .0175399{col 37}{space 1}    0.76{col 46}{space 3}0.448{col 54}{space 4}-.0213064{col 67}{space 3}  .047963
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} .0606044{col 26}{space 2} .0062373{col 37}{space 1}    9.72{col 46}{space 3}0.000{col 54}{space 4} .0482881{col 67}{space 3} .0729207
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull = .137{p_end}

{txt}       F(  1,   163) ={res}  346.89
{txt}{col 13}Prob > F ={res}    0.0000

{p 0 7}{space 1}{text:( 1)}{space 1} treatfull = -.137{p_end}

{txt}       F(  1,   163) ={res}  256.79
{txt}{col 13}Prob > F ={res}    0.0000

{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}       187
{txt}{col 49}F({res}   8{txt},{res}    163{txt}){col 67}= {res}      0.82
{txt}{col 49}Prob > F{col 67}= {res}    0.5849
{txt}{col 49}R-squared{col 67}= {res}    0.1631
{txt}{col 49}Adj R-squared{col 67}= {res}    0.0450
{txt}{col 49}Root MSE{col 67}= {res}    0.0535

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}e_mortrat~05{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2}-.0102805{col 26}{space 2} .0079077{col 37}{space 1}   -1.30{col 46}{space 3}0.195{col 54}{space 4}-.0258953{col 67}{space 3} .0053342
{txt}b_mortrat~05 {c |}{col 14}{res}{space 2} .0712443{col 26}{space 2} .0625629{col 37}{space 1}    1.14{col 46}{space 3}0.256{col 54}{space 4} -.052294{col 67}{space 3} .1947826
{txt}c_tf~_hc_hc2 {c |}{col 14}{res}{space 2} .0049443{col 26}{space 2} .0115866{col 37}{space 1}    0.43{col 46}{space 3}0.670{col 54}{space 4} -.017935{col 67}{space 3} .0278236
{txt}c_tfull_hc~l {c |}{col 14}{res}{space 2} .0021414{col 26}{space 2} .0116084{col 37}{space 1}    0.18{col 46}{space 3}0.854{col 54}{space 4}-.0207808{col 67}{space 3} .0250636
{txt}c_tfull_hc~s {c |}{col 14}{res}{space 2}-.0060544{col 26}{space 2} .0168002{col 37}{space 1}   -0.36{col 46}{space 3}0.719{col 54}{space 4}-.0392284{col 67}{space 3} .0271197
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2}-.0366629{col 26}{space 2} .0456674{col 37}{space 1}   -0.80{col 46}{space 3}0.423{col 54}{space 4}-.1268389{col 67}{space 3}  .053513
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2} -.008413{col 26}{space 2} .0053887{col 37}{space 1}   -1.56{col 46}{space 3}0.120{col 54}{space 4}-.0190536{col 67}{space 3} .0022277
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2} .0133283{col 26}{space 2} .0175399{col 37}{space 1}    0.76{col 46}{space 3}0.448{col 54}{space 4}-.0213064{col 67}{space 3}  .047963
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} .0606044{col 26}{space 2} .0062373{col 37}{space 1}    9.72{col 46}{space 3}0.000{col 54}{space 4} .0482881{col 67}{space 3} .0729207
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull = .138{p_end}

{txt}       F(  1,   163) ={res}  351.61
{txt}{col 13}Prob > F ={res}    0.0000

{p 0 7}{space 1}{text:( 1)}{space 1} treatfull = -.138{p_end}

{txt}       F(  1,   163) ={res}  260.86
{txt}{col 13}Prob > F ={res}    0.0000

{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}       187
{txt}{col 49}F({res}   8{txt},{res}    163{txt}){col 67}= {res}      0.82
{txt}{col 49}Prob > F{col 67}= {res}    0.5849
{txt}{col 49}R-squared{col 67}= {res}    0.1631
{txt}{col 49}Adj R-squared{col 67}= {res}    0.0450
{txt}{col 49}Root MSE{col 67}= {res}    0.0535

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}e_mortrat~05{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2}-.0102805{col 26}{space 2} .0079077{col 37}{space 1}   -1.30{col 46}{space 3}0.195{col 54}{space 4}-.0258953{col 67}{space 3} .0053342
{txt}b_mortrat~05 {c |}{col 14}{res}{space 2} .0712443{col 26}{space 2} .0625629{col 37}{space 1}    1.14{col 46}{space 3}0.256{col 54}{space 4} -.052294{col 67}{space 3} .1947826
{txt}c_tf~_hc_hc2 {c |}{col 14}{res}{space 2} .0049443{col 26}{space 2} .0115866{col 37}{space 1}    0.43{col 46}{space 3}0.670{col 54}{space 4} -.017935{col 67}{space 3} .0278236
{txt}c_tfull_hc~l {c |}{col 14}{res}{space 2} .0021414{col 26}{space 2} .0116084{col 37}{space 1}    0.18{col 46}{space 3}0.854{col 54}{space 4}-.0207808{col 67}{space 3} .0250636
{txt}c_tfull_hc~s {c |}{col 14}{res}{space 2}-.0060544{col 26}{space 2} .0168002{col 37}{space 1}   -0.36{col 46}{space 3}0.719{col 54}{space 4}-.0392284{col 67}{space 3} .0271197
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2}-.0366629{col 26}{space 2} .0456674{col 37}{space 1}   -0.80{col 46}{space 3}0.423{col 54}{space 4}-.1268389{col 67}{space 3}  .053513
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2} -.008413{col 26}{space 2} .0053887{col 37}{space 1}   -1.56{col 46}{space 3}0.120{col 54}{space 4}-.0190536{col 67}{space 3} .0022277
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2} .0133283{col 26}{space 2} .0175399{col 37}{space 1}    0.76{col 46}{space 3}0.448{col 54}{space 4}-.0213064{col 67}{space 3}  .047963
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} .0606044{col 26}{space 2} .0062373{col 37}{space 1}    9.72{col 46}{space 3}0.000{col 54}{space 4} .0482881{col 67}{space 3} .0729207
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull = .139{p_end}

{txt}       F(  1,   163) ={res}  356.37
{txt}{col 13}Prob > F ={res}    0.0000

{p 0 7}{space 1}{text:( 1)}{space 1} treatfull = -.139{p_end}

{txt}       F(  1,   163) ={res}  264.96
{txt}{col 13}Prob > F ={res}    0.0000

{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}       187
{txt}{col 49}F({res}   8{txt},{res}    163{txt}){col 67}= {res}      0.82
{txt}{col 49}Prob > F{col 67}= {res}    0.5849
{txt}{col 49}R-squared{col 67}= {res}    0.1631
{txt}{col 49}Adj R-squared{col 67}= {res}    0.0450
{txt}{col 49}Root MSE{col 67}= {res}    0.0535

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}e_mortrat~05{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2}-.0102805{col 26}{space 2} .0079077{col 37}{space 1}   -1.30{col 46}{space 3}0.195{col 54}{space 4}-.0258953{col 67}{space 3} .0053342
{txt}b_mortrat~05 {c |}{col 14}{res}{space 2} .0712443{col 26}{space 2} .0625629{col 37}{space 1}    1.14{col 46}{space 3}0.256{col 54}{space 4} -.052294{col 67}{space 3} .1947826
{txt}c_tf~_hc_hc2 {c |}{col 14}{res}{space 2} .0049443{col 26}{space 2} .0115866{col 37}{space 1}    0.43{col 46}{space 3}0.670{col 54}{space 4} -.017935{col 67}{space 3} .0278236
{txt}c_tfull_hc~l {c |}{col 14}{res}{space 2} .0021414{col 26}{space 2} .0116084{col 37}{space 1}    0.18{col 46}{space 3}0.854{col 54}{space 4}-.0207808{col 67}{space 3} .0250636
{txt}c_tfull_hc~s {c |}{col 14}{res}{space 2}-.0060544{col 26}{space 2} .0168002{col 37}{space 1}   -0.36{col 46}{space 3}0.719{col 54}{space 4}-.0392284{col 67}{space 3} .0271197
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2}-.0366629{col 26}{space 2} .0456674{col 37}{space 1}   -0.80{col 46}{space 3}0.423{col 54}{space 4}-.1268389{col 67}{space 3}  .053513
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2} -.008413{col 26}{space 2} .0053887{col 37}{space 1}   -1.56{col 46}{space 3}0.120{col 54}{space 4}-.0190536{col 67}{space 3} .0022277
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2} .0133283{col 26}{space 2} .0175399{col 37}{space 1}    0.76{col 46}{space 3}0.448{col 54}{space 4}-.0213064{col 67}{space 3}  .047963
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} .0606044{col 26}{space 2} .0062373{col 37}{space 1}    9.72{col 46}{space 3}0.000{col 54}{space 4} .0482881{col 67}{space 3} .0729207
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull = .14{p_end}

{txt}       F(  1,   163) ={res}  361.16
{txt}{col 13}Prob > F ={res}    0.0000

{p 0 7}{space 1}{text:( 1)}{space 1} treatfull = -.14{p_end}

{txt}       F(  1,   163) ={res}  269.10
{txt}{col 13}Prob > F ={res}    0.0000

{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}       187
{txt}{col 49}F({res}   8{txt},{res}    163{txt}){col 67}= {res}      0.82
{txt}{col 49}Prob > F{col 67}= {res}    0.5849
{txt}{col 49}R-squared{col 67}= {res}    0.1631
{txt}{col 49}Adj R-squared{col 67}= {res}    0.0450
{txt}{col 49}Root MSE{col 67}= {res}    0.0535

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}e_mortrat~05{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2}-.0102805{col 26}{space 2} .0079077{col 37}{space 1}   -1.30{col 46}{space 3}0.195{col 54}{space 4}-.0258953{col 67}{space 3} .0053342
{txt}b_mortrat~05 {c |}{col 14}{res}{space 2} .0712443{col 26}{space 2} .0625629{col 37}{space 1}    1.14{col 46}{space 3}0.256{col 54}{space 4} -.052294{col 67}{space 3} .1947826
{txt}c_tf~_hc_hc2 {c |}{col 14}{res}{space 2} .0049443{col 26}{space 2} .0115866{col 37}{space 1}    0.43{col 46}{space 3}0.670{col 54}{space 4} -.017935{col 67}{space 3} .0278236
{txt}c_tfull_hc~l {c |}{col 14}{res}{space 2} .0021414{col 26}{space 2} .0116084{col 37}{space 1}    0.18{col 46}{space 3}0.854{col 54}{space 4}-.0207808{col 67}{space 3} .0250636
{txt}c_tfull_hc~s {c |}{col 14}{res}{space 2}-.0060544{col 26}{space 2} .0168002{col 37}{space 1}   -0.36{col 46}{space 3}0.719{col 54}{space 4}-.0392284{col 67}{space 3} .0271197
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2}-.0366629{col 26}{space 2} .0456674{col 37}{space 1}   -0.80{col 46}{space 3}0.423{col 54}{space 4}-.1268389{col 67}{space 3}  .053513
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2} -.008413{col 26}{space 2} .0053887{col 37}{space 1}   -1.56{col 46}{space 3}0.120{col 54}{space 4}-.0190536{col 67}{space 3} .0022277
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2} .0133283{col 26}{space 2} .0175399{col 37}{space 1}    0.76{col 46}{space 3}0.448{col 54}{space 4}-.0213064{col 67}{space 3}  .047963
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} .0606044{col 26}{space 2} .0062373{col 37}{space 1}    9.72{col 46}{space 3}0.000{col 54}{space 4} .0482881{col 67}{space 3} .0729207
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull = .141{p_end}

{txt}       F(  1,   163) ={res}  365.99
{txt}{col 13}Prob > F ={res}    0.0000

{p 0 7}{space 1}{text:( 1)}{space 1} treatfull = -.141{p_end}

{txt}       F(  1,   163) ={res}  273.26
{txt}{col 13}Prob > F ={res}    0.0000

{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}       187
{txt}{col 49}F({res}   8{txt},{res}    163{txt}){col 67}= {res}      0.82
{txt}{col 49}Prob > F{col 67}= {res}    0.5849
{txt}{col 49}R-squared{col 67}= {res}    0.1631
{txt}{col 49}Adj R-squared{col 67}= {res}    0.0450
{txt}{col 49}Root MSE{col 67}= {res}    0.0535

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}e_mortrat~05{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2}-.0102805{col 26}{space 2} .0079077{col 37}{space 1}   -1.30{col 46}{space 3}0.195{col 54}{space 4}-.0258953{col 67}{space 3} .0053342
{txt}b_mortrat~05 {c |}{col 14}{res}{space 2} .0712443{col 26}{space 2} .0625629{col 37}{space 1}    1.14{col 46}{space 3}0.256{col 54}{space 4} -.052294{col 67}{space 3} .1947826
{txt}c_tf~_hc_hc2 {c |}{col 14}{res}{space 2} .0049443{col 26}{space 2} .0115866{col 37}{space 1}    0.43{col 46}{space 3}0.670{col 54}{space 4} -.017935{col 67}{space 3} .0278236
{txt}c_tfull_hc~l {c |}{col 14}{res}{space 2} .0021414{col 26}{space 2} .0116084{col 37}{space 1}    0.18{col 46}{space 3}0.854{col 54}{space 4}-.0207808{col 67}{space 3} .0250636
{txt}c_tfull_hc~s {c |}{col 14}{res}{space 2}-.0060544{col 26}{space 2} .0168002{col 37}{space 1}   -0.36{col 46}{space 3}0.719{col 54}{space 4}-.0392284{col 67}{space 3} .0271197
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2}-.0366629{col 26}{space 2} .0456674{col 37}{space 1}   -0.80{col 46}{space 3}0.423{col 54}{space 4}-.1268389{col 67}{space 3}  .053513
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2} -.008413{col 26}{space 2} .0053887{col 37}{space 1}   -1.56{col 46}{space 3}0.120{col 54}{space 4}-.0190536{col 67}{space 3} .0022277
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2} .0133283{col 26}{space 2} .0175399{col 37}{space 1}    0.76{col 46}{space 3}0.448{col 54}{space 4}-.0213064{col 67}{space 3}  .047963
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} .0606044{col 26}{space 2} .0062373{col 37}{space 1}    9.72{col 46}{space 3}0.000{col 54}{space 4} .0482881{col 67}{space 3} .0729207
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull = .142{p_end}

{txt}       F(  1,   163) ={res}  370.84
{txt}{col 13}Prob > F ={res}    0.0000

{p 0 7}{space 1}{text:( 1)}{space 1} treatfull = -.142{p_end}

{txt}       F(  1,   163) ={res}  277.46
{txt}{col 13}Prob > F ={res}    0.0000

{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}       187
{txt}{col 49}F({res}   8{txt},{res}    163{txt}){col 67}= {res}      0.82
{txt}{col 49}Prob > F{col 67}= {res}    0.5849
{txt}{col 49}R-squared{col 67}= {res}    0.1631
{txt}{col 49}Adj R-squared{col 67}= {res}    0.0450
{txt}{col 49}Root MSE{col 67}= {res}    0.0535

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}e_mortrat~05{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2}-.0102805{col 26}{space 2} .0079077{col 37}{space 1}   -1.30{col 46}{space 3}0.195{col 54}{space 4}-.0258953{col 67}{space 3} .0053342
{txt}b_mortrat~05 {c |}{col 14}{res}{space 2} .0712443{col 26}{space 2} .0625629{col 37}{space 1}    1.14{col 46}{space 3}0.256{col 54}{space 4} -.052294{col 67}{space 3} .1947826
{txt}c_tf~_hc_hc2 {c |}{col 14}{res}{space 2} .0049443{col 26}{space 2} .0115866{col 37}{space 1}    0.43{col 46}{space 3}0.670{col 54}{space 4} -.017935{col 67}{space 3} .0278236
{txt}c_tfull_hc~l {c |}{col 14}{res}{space 2} .0021414{col 26}{space 2} .0116084{col 37}{space 1}    0.18{col 46}{space 3}0.854{col 54}{space 4}-.0207808{col 67}{space 3} .0250636
{txt}c_tfull_hc~s {c |}{col 14}{res}{space 2}-.0060544{col 26}{space 2} .0168002{col 37}{space 1}   -0.36{col 46}{space 3}0.719{col 54}{space 4}-.0392284{col 67}{space 3} .0271197
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2}-.0366629{col 26}{space 2} .0456674{col 37}{space 1}   -0.80{col 46}{space 3}0.423{col 54}{space 4}-.1268389{col 67}{space 3}  .053513
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2} -.008413{col 26}{space 2} .0053887{col 37}{space 1}   -1.56{col 46}{space 3}0.120{col 54}{space 4}-.0190536{col 67}{space 3} .0022277
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2} .0133283{col 26}{space 2} .0175399{col 37}{space 1}    0.76{col 46}{space 3}0.448{col 54}{space 4}-.0213064{col 67}{space 3}  .047963
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} .0606044{col 26}{space 2} .0062373{col 37}{space 1}    9.72{col 46}{space 3}0.000{col 54}{space 4} .0482881{col 67}{space 3} .0729207
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull = .143{p_end}

{txt}       F(  1,   163) ={res}  375.73
{txt}{col 13}Prob > F ={res}    0.0000

{p 0 7}{space 1}{text:( 1)}{space 1} treatfull = -.143{p_end}

{txt}       F(  1,   163) ={res}  281.69
{txt}{col 13}Prob > F ={res}    0.0000

{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}       187
{txt}{col 49}F({res}   8{txt},{res}    163{txt}){col 67}= {res}      0.82
{txt}{col 49}Prob > F{col 67}= {res}    0.5849
{txt}{col 49}R-squared{col 67}= {res}    0.1631
{txt}{col 49}Adj R-squared{col 67}= {res}    0.0450
{txt}{col 49}Root MSE{col 67}= {res}    0.0535

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}e_mortrat~05{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2}-.0102805{col 26}{space 2} .0079077{col 37}{space 1}   -1.30{col 46}{space 3}0.195{col 54}{space 4}-.0258953{col 67}{space 3} .0053342
{txt}b_mortrat~05 {c |}{col 14}{res}{space 2} .0712443{col 26}{space 2} .0625629{col 37}{space 1}    1.14{col 46}{space 3}0.256{col 54}{space 4} -.052294{col 67}{space 3} .1947826
{txt}c_tf~_hc_hc2 {c |}{col 14}{res}{space 2} .0049443{col 26}{space 2} .0115866{col 37}{space 1}    0.43{col 46}{space 3}0.670{col 54}{space 4} -.017935{col 67}{space 3} .0278236
{txt}c_tfull_hc~l {c |}{col 14}{res}{space 2} .0021414{col 26}{space 2} .0116084{col 37}{space 1}    0.18{col 46}{space 3}0.854{col 54}{space 4}-.0207808{col 67}{space 3} .0250636
{txt}c_tfull_hc~s {c |}{col 14}{res}{space 2}-.0060544{col 26}{space 2} .0168002{col 37}{space 1}   -0.36{col 46}{space 3}0.719{col 54}{space 4}-.0392284{col 67}{space 3} .0271197
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2}-.0366629{col 26}{space 2} .0456674{col 37}{space 1}   -0.80{col 46}{space 3}0.423{col 54}{space 4}-.1268389{col 67}{space 3}  .053513
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2} -.008413{col 26}{space 2} .0053887{col 37}{space 1}   -1.56{col 46}{space 3}0.120{col 54}{space 4}-.0190536{col 67}{space 3} .0022277
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2} .0133283{col 26}{space 2} .0175399{col 37}{space 1}    0.76{col 46}{space 3}0.448{col 54}{space 4}-.0213064{col 67}{space 3}  .047963
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} .0606044{col 26}{space 2} .0062373{col 37}{space 1}    9.72{col 46}{space 3}0.000{col 54}{space 4} .0482881{col 67}{space 3} .0729207
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull = .144{p_end}

{txt}       F(  1,   163) ={res}  380.65
{txt}{col 13}Prob > F ={res}    0.0000

{p 0 7}{space 1}{text:( 1)}{space 1} treatfull = -.144{p_end}

{txt}       F(  1,   163) ={res}  285.95
{txt}{col 13}Prob > F ={res}    0.0000

{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}       187
{txt}{col 49}F({res}   8{txt},{res}    163{txt}){col 67}= {res}      0.82
{txt}{col 49}Prob > F{col 67}= {res}    0.5849
{txt}{col 49}R-squared{col 67}= {res}    0.1631
{txt}{col 49}Adj R-squared{col 67}= {res}    0.0450
{txt}{col 49}Root MSE{col 67}= {res}    0.0535

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}e_mortrat~05{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2}-.0102805{col 26}{space 2} .0079077{col 37}{space 1}   -1.30{col 46}{space 3}0.195{col 54}{space 4}-.0258953{col 67}{space 3} .0053342
{txt}b_mortrat~05 {c |}{col 14}{res}{space 2} .0712443{col 26}{space 2} .0625629{col 37}{space 1}    1.14{col 46}{space 3}0.256{col 54}{space 4} -.052294{col 67}{space 3} .1947826
{txt}c_tf~_hc_hc2 {c |}{col 14}{res}{space 2} .0049443{col 26}{space 2} .0115866{col 37}{space 1}    0.43{col 46}{space 3}0.670{col 54}{space 4} -.017935{col 67}{space 3} .0278236
{txt}c_tfull_hc~l {c |}{col 14}{res}{space 2} .0021414{col 26}{space 2} .0116084{col 37}{space 1}    0.18{col 46}{space 3}0.854{col 54}{space 4}-.0207808{col 67}{space 3} .0250636
{txt}c_tfull_hc~s {c |}{col 14}{res}{space 2}-.0060544{col 26}{space 2} .0168002{col 37}{space 1}   -0.36{col 46}{space 3}0.719{col 54}{space 4}-.0392284{col 67}{space 3} .0271197
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2}-.0366629{col 26}{space 2} .0456674{col 37}{space 1}   -0.80{col 46}{space 3}0.423{col 54}{space 4}-.1268389{col 67}{space 3}  .053513
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2} -.008413{col 26}{space 2} .0053887{col 37}{space 1}   -1.56{col 46}{space 3}0.120{col 54}{space 4}-.0190536{col 67}{space 3} .0022277
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2} .0133283{col 26}{space 2} .0175399{col 37}{space 1}    0.76{col 46}{space 3}0.448{col 54}{space 4}-.0213064{col 67}{space 3}  .047963
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} .0606044{col 26}{space 2} .0062373{col 37}{space 1}    9.72{col 46}{space 3}0.000{col 54}{space 4} .0482881{col 67}{space 3} .0729207
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull = .145{p_end}

{txt}       F(  1,   163) ={res}  385.60
{txt}{col 13}Prob > F ={res}    0.0000

{p 0 7}{space 1}{text:( 1)}{space 1} treatfull = -.145{p_end}

{txt}       F(  1,   163) ={res}  290.24
{txt}{col 13}Prob > F ={res}    0.0000

{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}       187
{txt}{col 49}F({res}   8{txt},{res}    163{txt}){col 67}= {res}      0.82
{txt}{col 49}Prob > F{col 67}= {res}    0.5849
{txt}{col 49}R-squared{col 67}= {res}    0.1631
{txt}{col 49}Adj R-squared{col 67}= {res}    0.0450
{txt}{col 49}Root MSE{col 67}= {res}    0.0535

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}e_mortrat~05{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2}-.0102805{col 26}{space 2} .0079077{col 37}{space 1}   -1.30{col 46}{space 3}0.195{col 54}{space 4}-.0258953{col 67}{space 3} .0053342
{txt}b_mortrat~05 {c |}{col 14}{res}{space 2} .0712443{col 26}{space 2} .0625629{col 37}{space 1}    1.14{col 46}{space 3}0.256{col 54}{space 4} -.052294{col 67}{space 3} .1947826
{txt}c_tf~_hc_hc2 {c |}{col 14}{res}{space 2} .0049443{col 26}{space 2} .0115866{col 37}{space 1}    0.43{col 46}{space 3}0.670{col 54}{space 4} -.017935{col 67}{space 3} .0278236
{txt}c_tfull_hc~l {c |}{col 14}{res}{space 2} .0021414{col 26}{space 2} .0116084{col 37}{space 1}    0.18{col 46}{space 3}0.854{col 54}{space 4}-.0207808{col 67}{space 3} .0250636
{txt}c_tfull_hc~s {c |}{col 14}{res}{space 2}-.0060544{col 26}{space 2} .0168002{col 37}{space 1}   -0.36{col 46}{space 3}0.719{col 54}{space 4}-.0392284{col 67}{space 3} .0271197
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2}-.0366629{col 26}{space 2} .0456674{col 37}{space 1}   -0.80{col 46}{space 3}0.423{col 54}{space 4}-.1268389{col 67}{space 3}  .053513
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2} -.008413{col 26}{space 2} .0053887{col 37}{space 1}   -1.56{col 46}{space 3}0.120{col 54}{space 4}-.0190536{col 67}{space 3} .0022277
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2} .0133283{col 26}{space 2} .0175399{col 37}{space 1}    0.76{col 46}{space 3}0.448{col 54}{space 4}-.0213064{col 67}{space 3}  .047963
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} .0606044{col 26}{space 2} .0062373{col 37}{space 1}    9.72{col 46}{space 3}0.000{col 54}{space 4} .0482881{col 67}{space 3} .0729207
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull = .146{p_end}

{txt}       F(  1,   163) ={res}  390.58
{txt}{col 13}Prob > F ={res}    0.0000

{p 0 7}{space 1}{text:( 1)}{space 1} treatfull = -.146{p_end}

{txt}       F(  1,   163) ={res}  294.57
{txt}{col 13}Prob > F ={res}    0.0000

{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}       187
{txt}{col 49}F({res}   8{txt},{res}    163{txt}){col 67}= {res}      0.82
{txt}{col 49}Prob > F{col 67}= {res}    0.5849
{txt}{col 49}R-squared{col 67}= {res}    0.1631
{txt}{col 49}Adj R-squared{col 67}= {res}    0.0450
{txt}{col 49}Root MSE{col 67}= {res}    0.0535

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}e_mortrat~05{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2}-.0102805{col 26}{space 2} .0079077{col 37}{space 1}   -1.30{col 46}{space 3}0.195{col 54}{space 4}-.0258953{col 67}{space 3} .0053342
{txt}b_mortrat~05 {c |}{col 14}{res}{space 2} .0712443{col 26}{space 2} .0625629{col 37}{space 1}    1.14{col 46}{space 3}0.256{col 54}{space 4} -.052294{col 67}{space 3} .1947826
{txt}c_tf~_hc_hc2 {c |}{col 14}{res}{space 2} .0049443{col 26}{space 2} .0115866{col 37}{space 1}    0.43{col 46}{space 3}0.670{col 54}{space 4} -.017935{col 67}{space 3} .0278236
{txt}c_tfull_hc~l {c |}{col 14}{res}{space 2} .0021414{col 26}{space 2} .0116084{col 37}{space 1}    0.18{col 46}{space 3}0.854{col 54}{space 4}-.0207808{col 67}{space 3} .0250636
{txt}c_tfull_hc~s {c |}{col 14}{res}{space 2}-.0060544{col 26}{space 2} .0168002{col 37}{space 1}   -0.36{col 46}{space 3}0.719{col 54}{space 4}-.0392284{col 67}{space 3} .0271197
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2}-.0366629{col 26}{space 2} .0456674{col 37}{space 1}   -0.80{col 46}{space 3}0.423{col 54}{space 4}-.1268389{col 67}{space 3}  .053513
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2} -.008413{col 26}{space 2} .0053887{col 37}{space 1}   -1.56{col 46}{space 3}0.120{col 54}{space 4}-.0190536{col 67}{space 3} .0022277
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2} .0133283{col 26}{space 2} .0175399{col 37}{space 1}    0.76{col 46}{space 3}0.448{col 54}{space 4}-.0213064{col 67}{space 3}  .047963
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} .0606044{col 26}{space 2} .0062373{col 37}{space 1}    9.72{col 46}{space 3}0.000{col 54}{space 4} .0482881{col 67}{space 3} .0729207
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull = .147{p_end}

{txt}       F(  1,   163) ={res}  395.59
{txt}{col 13}Prob > F ={res}    0.0000

{p 0 7}{space 1}{text:( 1)}{space 1} treatfull = -.147{p_end}

{txt}       F(  1,   163) ={res}  298.92
{txt}{col 13}Prob > F ={res}    0.0000

{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}       187
{txt}{col 49}F({res}   8{txt},{res}    163{txt}){col 67}= {res}      0.82
{txt}{col 49}Prob > F{col 67}= {res}    0.5849
{txt}{col 49}R-squared{col 67}= {res}    0.1631
{txt}{col 49}Adj R-squared{col 67}= {res}    0.0450
{txt}{col 49}Root MSE{col 67}= {res}    0.0535

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}e_mortrat~05{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2}-.0102805{col 26}{space 2} .0079077{col 37}{space 1}   -1.30{col 46}{space 3}0.195{col 54}{space 4}-.0258953{col 67}{space 3} .0053342
{txt}b_mortrat~05 {c |}{col 14}{res}{space 2} .0712443{col 26}{space 2} .0625629{col 37}{space 1}    1.14{col 46}{space 3}0.256{col 54}{space 4} -.052294{col 67}{space 3} .1947826
{txt}c_tf~_hc_hc2 {c |}{col 14}{res}{space 2} .0049443{col 26}{space 2} .0115866{col 37}{space 1}    0.43{col 46}{space 3}0.670{col 54}{space 4} -.017935{col 67}{space 3} .0278236
{txt}c_tfull_hc~l {c |}{col 14}{res}{space 2} .0021414{col 26}{space 2} .0116084{col 37}{space 1}    0.18{col 46}{space 3}0.854{col 54}{space 4}-.0207808{col 67}{space 3} .0250636
{txt}c_tfull_hc~s {c |}{col 14}{res}{space 2}-.0060544{col 26}{space 2} .0168002{col 37}{space 1}   -0.36{col 46}{space 3}0.719{col 54}{space 4}-.0392284{col 67}{space 3} .0271197
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2}-.0366629{col 26}{space 2} .0456674{col 37}{space 1}   -0.80{col 46}{space 3}0.423{col 54}{space 4}-.1268389{col 67}{space 3}  .053513
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2} -.008413{col 26}{space 2} .0053887{col 37}{space 1}   -1.56{col 46}{space 3}0.120{col 54}{space 4}-.0190536{col 67}{space 3} .0022277
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2} .0133283{col 26}{space 2} .0175399{col 37}{space 1}    0.76{col 46}{space 3}0.448{col 54}{space 4}-.0213064{col 67}{space 3}  .047963
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} .0606044{col 26}{space 2} .0062373{col 37}{space 1}    9.72{col 46}{space 3}0.000{col 54}{space 4} .0482881{col 67}{space 3} .0729207
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull = .148{p_end}

{txt}       F(  1,   163) ={res}  400.64
{txt}{col 13}Prob > F ={res}    0.0000

{p 0 7}{space 1}{text:( 1)}{space 1} treatfull = -.148{p_end}

{txt}       F(  1,   163) ={res}  303.31
{txt}{col 13}Prob > F ={res}    0.0000

{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}       187
{txt}{col 49}F({res}   8{txt},{res}    163{txt}){col 67}= {res}      0.82
{txt}{col 49}Prob > F{col 67}= {res}    0.5849
{txt}{col 49}R-squared{col 67}= {res}    0.1631
{txt}{col 49}Adj R-squared{col 67}= {res}    0.0450
{txt}{col 49}Root MSE{col 67}= {res}    0.0535

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}e_mortrat~05{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2}-.0102805{col 26}{space 2} .0079077{col 37}{space 1}   -1.30{col 46}{space 3}0.195{col 54}{space 4}-.0258953{col 67}{space 3} .0053342
{txt}b_mortrat~05 {c |}{col 14}{res}{space 2} .0712443{col 26}{space 2} .0625629{col 37}{space 1}    1.14{col 46}{space 3}0.256{col 54}{space 4} -.052294{col 67}{space 3} .1947826
{txt}c_tf~_hc_hc2 {c |}{col 14}{res}{space 2} .0049443{col 26}{space 2} .0115866{col 37}{space 1}    0.43{col 46}{space 3}0.670{col 54}{space 4} -.017935{col 67}{space 3} .0278236
{txt}c_tfull_hc~l {c |}{col 14}{res}{space 2} .0021414{col 26}{space 2} .0116084{col 37}{space 1}    0.18{col 46}{space 3}0.854{col 54}{space 4}-.0207808{col 67}{space 3} .0250636
{txt}c_tfull_hc~s {c |}{col 14}{res}{space 2}-.0060544{col 26}{space 2} .0168002{col 37}{space 1}   -0.36{col 46}{space 3}0.719{col 54}{space 4}-.0392284{col 67}{space 3} .0271197
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2}-.0366629{col 26}{space 2} .0456674{col 37}{space 1}   -0.80{col 46}{space 3}0.423{col 54}{space 4}-.1268389{col 67}{space 3}  .053513
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2} -.008413{col 26}{space 2} .0053887{col 37}{space 1}   -1.56{col 46}{space 3}0.120{col 54}{space 4}-.0190536{col 67}{space 3} .0022277
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2} .0133283{col 26}{space 2} .0175399{col 37}{space 1}    0.76{col 46}{space 3}0.448{col 54}{space 4}-.0213064{col 67}{space 3}  .047963
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} .0606044{col 26}{space 2} .0062373{col 37}{space 1}    9.72{col 46}{space 3}0.000{col 54}{space 4} .0482881{col 67}{space 3} .0729207
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull = .149{p_end}

{txt}       F(  1,   163) ={res}  405.72
{txt}{col 13}Prob > F ={res}    0.0000

{p 0 7}{space 1}{text:( 1)}{space 1} treatfull = -.149{p_end}

{txt}       F(  1,   163) ={res}  307.73
{txt}{col 13}Prob > F ={res}    0.0000

{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}       187
{txt}{col 49}F({res}   8{txt},{res}    163{txt}){col 67}= {res}      1.07
{txt}{col 49}Prob > F{col 67}= {res}    0.3833
{txt}{col 49}R-squared{col 67}= {res}    0.0942
{txt}{col 49}Adj R-squared{col 67}= {res}   -0.0336
{txt}{col 49}Root MSE{col 67}= {res}    0.7003

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}e_h_ctzpre~z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2} -.134271{col 26}{space 2} .1034163{col 37}{space 1}   -1.30{col 46}{space 3}0.196{col 54}{space 4}-.3384793{col 67}{space 3} .0699373
{txt}b_h_ctzpre~z {c |}{col 14}{res}{space 2} .0079571{col 26}{space 2} .0641321{col 37}{space 1}    0.12{col 46}{space 3}0.901{col 54}{space 4}-.1186797{col 67}{space 3} .1345939
{txt}c_tf~_hc_hc2 {c |}{col 14}{res}{space 2}-.0584948{col 26}{space 2} .1591786{col 37}{space 1}   -0.37{col 46}{space 3}0.714{col 54}{space 4}-.3728128{col 67}{space 3} .2558233
{txt}c_tfull_hc~l {c |}{col 14}{res}{space 2} .0323762{col 26}{space 2} .1552813{col 37}{space 1}    0.21{col 46}{space 3}0.835{col 54}{space 4}-.2742462{col 67}{space 3} .3389986
{txt}c_tfull_hc~s {c |}{col 14}{res}{space 2} .3169935{col 26}{space 2} .1844047{col 37}{space 1}    1.72{col 46}{space 3}0.088{col 54}{space 4}-.0471364{col 67}{space 3} .6811235
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2}-.3642223{col 26}{space 2} .5401904{col 37}{space 1}   -0.67{col 46}{space 3}0.501{col 54}{space 4}-1.430896{col 67}{space 3}  .702451
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2} .0153474{col 26}{space 2} .0701729{col 37}{space 1}    0.22{col 46}{space 3}0.827{col 54}{space 4}-.1232177{col 67}{space 3} .1539126
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2}-.1248174{col 26}{space 2}  .212503{col 37}{space 1}   -0.59{col 46}{space 3}0.558{col 54}{space 4} -.544431{col 67}{space 3} .2947962
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} .0132367{col 26}{space 2}  .067043{col 37}{space 1}    0.20{col 46}{space 3}0.844{col 54}{space 4} -.119148{col 67}{space 3} .1456214
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull = .001{p_end}

{txt}       F(  1,   163) ={res}    1.71
{txt}{col 13}Prob > F ={res}    0.1927

{p 0 7}{space 1}{text:( 1)}{space 1} treatfull = -.001{p_end}

{txt}       F(  1,   163) ={res}    1.66
{txt}{col 13}Prob > F ={res}    0.1993

{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}       187
{txt}{col 49}F({res}   8{txt},{res}    163{txt}){col 67}= {res}      1.07
{txt}{col 49}Prob > F{col 67}= {res}    0.3833
{txt}{col 49}R-squared{col 67}= {res}    0.0942
{txt}{col 49}Adj R-squared{col 67}= {res}   -0.0336
{txt}{col 49}Root MSE{col 67}= {res}    0.7003

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}e_h_ctzpre~z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2} -.134271{col 26}{space 2} .1034163{col 37}{space 1}   -1.30{col 46}{space 3}0.196{col 54}{space 4}-.3384793{col 67}{space 3} .0699373
{txt}b_h_ctzpre~z {c |}{col 14}{res}{space 2} .0079571{col 26}{space 2} .0641321{col 37}{space 1}    0.12{col 46}{space 3}0.901{col 54}{space 4}-.1186797{col 67}{space 3} .1345939
{txt}c_tf~_hc_hc2 {c |}{col 14}{res}{space 2}-.0584948{col 26}{space 2} .1591786{col 37}{space 1}   -0.37{col 46}{space 3}0.714{col 54}{space 4}-.3728128{col 67}{space 3} .2558233
{txt}c_tfull_hc~l {c |}{col 14}{res}{space 2} .0323762{col 26}{space 2} .1552813{col 37}{space 1}    0.21{col 46}{space 3}0.835{col 54}{space 4}-.2742462{col 67}{space 3} .3389986
{txt}c_tfull_hc~s {c |}{col 14}{res}{space 2} .3169935{col 26}{space 2} .1844047{col 37}{space 1}    1.72{col 46}{space 3}0.088{col 54}{space 4}-.0471364{col 67}{space 3} .6811235
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2}-.3642223{col 26}{space 2} .5401904{col 37}{space 1}   -0.67{col 46}{space 3}0.501{col 54}{space 4}-1.430896{col 67}{space 3}  .702451
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2} .0153474{col 26}{space 2} .0701729{col 37}{space 1}    0.22{col 46}{space 3}0.827{col 54}{space 4}-.1232177{col 67}{space 3} .1539126
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2}-.1248174{col 26}{space 2}  .212503{col 37}{space 1}   -0.59{col 46}{space 3}0.558{col 54}{space 4} -.544431{col 67}{space 3} .2947962
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} .0132367{col 26}{space 2}  .067043{col 37}{space 1}    0.20{col 46}{space 3}0.844{col 54}{space 4} -.119148{col 67}{space 3} .1456214
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull = .002{p_end}

{txt}       F(  1,   163) ={res}    1.74
{txt}{col 13}Prob > F ={res}    0.1895

{p 0 7}{space 1}{text:( 1)}{space 1} treatfull = -.002{p_end}

{txt}       F(  1,   163) ={res}    1.64
{txt}{col 13}Prob > F ={res}    0.2027

{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}       187
{txt}{col 49}F({res}   8{txt},{res}    163{txt}){col 67}= {res}      1.07
{txt}{col 49}Prob > F{col 67}= {res}    0.3833
{txt}{col 49}R-squared{col 67}= {res}    0.0942
{txt}{col 49}Adj R-squared{col 67}= {res}   -0.0336
{txt}{col 49}Root MSE{col 67}= {res}    0.7003

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}e_h_ctzpre~z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2} -.134271{col 26}{space 2} .1034163{col 37}{space 1}   -1.30{col 46}{space 3}0.196{col 54}{space 4}-.3384793{col 67}{space 3} .0699373
{txt}b_h_ctzpre~z {c |}{col 14}{res}{space 2} .0079571{col 26}{space 2} .0641321{col 37}{space 1}    0.12{col 46}{space 3}0.901{col 54}{space 4}-.1186797{col 67}{space 3} .1345939
{txt}c_tf~_hc_hc2 {c |}{col 14}{res}{space 2}-.0584948{col 26}{space 2} .1591786{col 37}{space 1}   -0.37{col 46}{space 3}0.714{col 54}{space 4}-.3728128{col 67}{space 3} .2558233
{txt}c_tfull_hc~l {c |}{col 14}{res}{space 2} .0323762{col 26}{space 2} .1552813{col 37}{space 1}    0.21{col 46}{space 3}0.835{col 54}{space 4}-.2742462{col 67}{space 3} .3389986
{txt}c_tfull_hc~s {c |}{col 14}{res}{space 2} .3169935{col 26}{space 2} .1844047{col 37}{space 1}    1.72{col 46}{space 3}0.088{col 54}{space 4}-.0471364{col 67}{space 3} .6811235
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2}-.3642223{col 26}{space 2} .5401904{col 37}{space 1}   -0.67{col 46}{space 3}0.501{col 54}{space 4}-1.430896{col 67}{space 3}  .702451
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2} .0153474{col 26}{space 2} .0701729{col 37}{space 1}    0.22{col 46}{space 3}0.827{col 54}{space 4}-.1232177{col 67}{space 3} .1539126
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2}-.1248174{col 26}{space 2}  .212503{col 37}{space 1}   -0.59{col 46}{space 3}0.558{col 54}{space 4} -.544431{col 67}{space 3} .2947962
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} .0132367{col 26}{space 2}  .067043{col 37}{space 1}    0.20{col 46}{space 3}0.844{col 54}{space 4} -.119148{col 67}{space 3} .1456214
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull = .003{p_end}

{txt}       F(  1,   163) ={res}    1.76
{txt}{col 13}Prob > F ={res}    0.1862

{p 0 7}{space 1}{text:( 1)}{space 1} treatfull = -.003{p_end}

{txt}       F(  1,   163) ={res}    1.61
{txt}{col 13}Prob > F ={res}    0.2061

{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}       187
{txt}{col 49}F({res}   8{txt},{res}    163{txt}){col 67}= {res}      1.07
{txt}{col 49}Prob > F{col 67}= {res}    0.3833
{txt}{col 49}R-squared{col 67}= {res}    0.0942
{txt}{col 49}Adj R-squared{col 67}= {res}   -0.0336
{txt}{col 49}Root MSE{col 67}= {res}    0.7003

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}e_h_ctzpre~z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2} -.134271{col 26}{space 2} .1034163{col 37}{space 1}   -1.30{col 46}{space 3}0.196{col 54}{space 4}-.3384793{col 67}{space 3} .0699373
{txt}b_h_ctzpre~z {c |}{col 14}{res}{space 2} .0079571{col 26}{space 2} .0641321{col 37}{space 1}    0.12{col 46}{space 3}0.901{col 54}{space 4}-.1186797{col 67}{space 3} .1345939
{txt}c_tf~_hc_hc2 {c |}{col 14}{res}{space 2}-.0584948{col 26}{space 2} .1591786{col 37}{space 1}   -0.37{col 46}{space 3}0.714{col 54}{space 4}-.3728128{col 67}{space 3} .2558233
{txt}c_tfull_hc~l {c |}{col 14}{res}{space 2} .0323762{col 26}{space 2} .1552813{col 37}{space 1}    0.21{col 46}{space 3}0.835{col 54}{space 4}-.2742462{col 67}{space 3} .3389986
{txt}c_tfull_hc~s {c |}{col 14}{res}{space 2} .3169935{col 26}{space 2} .1844047{col 37}{space 1}    1.72{col 46}{space 3}0.088{col 54}{space 4}-.0471364{col 67}{space 3} .6811235
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2}-.3642223{col 26}{space 2} .5401904{col 37}{space 1}   -0.67{col 46}{space 3}0.501{col 54}{space 4}-1.430896{col 67}{space 3}  .702451
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2} .0153474{col 26}{space 2} .0701729{col 37}{space 1}    0.22{col 46}{space 3}0.827{col 54}{space 4}-.1232177{col 67}{space 3} .1539126
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2}-.1248174{col 26}{space 2}  .212503{col 37}{space 1}   -0.59{col 46}{space 3}0.558{col 54}{space 4} -.544431{col 67}{space 3} .2947962
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} .0132367{col 26}{space 2}  .067043{col 37}{space 1}    0.20{col 46}{space 3}0.844{col 54}{space 4} -.119148{col 67}{space 3} .1456214
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull = .004{p_end}

{txt}       F(  1,   163) ={res}    1.79
{txt}{col 13}Prob > F ={res}    0.1831

{p 0 7}{space 1}{text:( 1)}{space 1} treatfull = -.004{p_end}

{txt}       F(  1,   163) ={res}    1.59
{txt}{col 13}Prob > F ={res}    0.2096

{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}       187
{txt}{col 49}F({res}   8{txt},{res}    163{txt}){col 67}= {res}      1.07
{txt}{col 49}Prob > F{col 67}= {res}    0.3833
{txt}{col 49}R-squared{col 67}= {res}    0.0942
{txt}{col 49}Adj R-squared{col 67}= {res}   -0.0336
{txt}{col 49}Root MSE{col 67}= {res}    0.7003

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}e_h_ctzpre~z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2} -.134271{col 26}{space 2} .1034163{col 37}{space 1}   -1.30{col 46}{space 3}0.196{col 54}{space 4}-.3384793{col 67}{space 3} .0699373
{txt}b_h_ctzpre~z {c |}{col 14}{res}{space 2} .0079571{col 26}{space 2} .0641321{col 37}{space 1}    0.12{col 46}{space 3}0.901{col 54}{space 4}-.1186797{col 67}{space 3} .1345939
{txt}c_tf~_hc_hc2 {c |}{col 14}{res}{space 2}-.0584948{col 26}{space 2} .1591786{col 37}{space 1}   -0.37{col 46}{space 3}0.714{col 54}{space 4}-.3728128{col 67}{space 3} .2558233
{txt}c_tfull_hc~l {c |}{col 14}{res}{space 2} .0323762{col 26}{space 2} .1552813{col 37}{space 1}    0.21{col 46}{space 3}0.835{col 54}{space 4}-.2742462{col 67}{space 3} .3389986
{txt}c_tfull_hc~s {c |}{col 14}{res}{space 2} .3169935{col 26}{space 2} .1844047{col 37}{space 1}    1.72{col 46}{space 3}0.088{col 54}{space 4}-.0471364{col 67}{space 3} .6811235
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2}-.3642223{col 26}{space 2} .5401904{col 37}{space 1}   -0.67{col 46}{space 3}0.501{col 54}{space 4}-1.430896{col 67}{space 3}  .702451
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2} .0153474{col 26}{space 2} .0701729{col 37}{space 1}    0.22{col 46}{space 3}0.827{col 54}{space 4}-.1232177{col 67}{space 3} .1539126
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2}-.1248174{col 26}{space 2}  .212503{col 37}{space 1}   -0.59{col 46}{space 3}0.558{col 54}{space 4} -.544431{col 67}{space 3} .2947962
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} .0132367{col 26}{space 2}  .067043{col 37}{space 1}    0.20{col 46}{space 3}0.844{col 54}{space 4} -.119148{col 67}{space 3} .1456214
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull = .005{p_end}

{txt}       F(  1,   163) ={res}    1.81
{txt}{col 13}Prob > F ={res}    0.1799

{p 0 7}{space 1}{text:( 1)}{space 1} treatfull = -.005{p_end}

{txt}       F(  1,   163) ={res}    1.56
{txt}{col 13}Prob > F ={res}    0.2131

{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}       187
{txt}{col 49}F({res}   8{txt},{res}    163{txt}){col 67}= {res}      1.07
{txt}{col 49}Prob > F{col 67}= {res}    0.3833
{txt}{col 49}R-squared{col 67}= {res}    0.0942
{txt}{col 49}Adj R-squared{col 67}= {res}   -0.0336
{txt}{col 49}Root MSE{col 67}= {res}    0.7003

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}e_h_ctzpre~z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2} -.134271{col 26}{space 2} .1034163{col 37}{space 1}   -1.30{col 46}{space 3}0.196{col 54}{space 4}-.3384793{col 67}{space 3} .0699373
{txt}b_h_ctzpre~z {c |}{col 14}{res}{space 2} .0079571{col 26}{space 2} .0641321{col 37}{space 1}    0.12{col 46}{space 3}0.901{col 54}{space 4}-.1186797{col 67}{space 3} .1345939
{txt}c_tf~_hc_hc2 {c |}{col 14}{res}{space 2}-.0584948{col 26}{space 2} .1591786{col 37}{space 1}   -0.37{col 46}{space 3}0.714{col 54}{space 4}-.3728128{col 67}{space 3} .2558233
{txt}c_tfull_hc~l {c |}{col 14}{res}{space 2} .0323762{col 26}{space 2} .1552813{col 37}{space 1}    0.21{col 46}{space 3}0.835{col 54}{space 4}-.2742462{col 67}{space 3} .3389986
{txt}c_tfull_hc~s {c |}{col 14}{res}{space 2} .3169935{col 26}{space 2} .1844047{col 37}{space 1}    1.72{col 46}{space 3}0.088{col 54}{space 4}-.0471364{col 67}{space 3} .6811235
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2}-.3642223{col 26}{space 2} .5401904{col 37}{space 1}   -0.67{col 46}{space 3}0.501{col 54}{space 4}-1.430896{col 67}{space 3}  .702451
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2} .0153474{col 26}{space 2} .0701729{col 37}{space 1}    0.22{col 46}{space 3}0.827{col 54}{space 4}-.1232177{col 67}{space 3} .1539126
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2}-.1248174{col 26}{space 2}  .212503{col 37}{space 1}   -0.59{col 46}{space 3}0.558{col 54}{space 4} -.544431{col 67}{space 3} .2947962
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} .0132367{col 26}{space 2}  .067043{col 37}{space 1}    0.20{col 46}{space 3}0.844{col 54}{space 4} -.119148{col 67}{space 3} .1456214
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull = .006{p_end}

{txt}       F(  1,   163) ={res}    1.84
{txt}{col 13}Prob > F ={res}    0.1769

{p 0 7}{space 1}{text:( 1)}{space 1} treatfull = -.006{p_end}

{txt}       F(  1,   163) ={res}    1.54
{txt}{col 13}Prob > F ={res}    0.2166

{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}       187
{txt}{col 49}F({res}   8{txt},{res}    163{txt}){col 67}= {res}      1.07
{txt}{col 49}Prob > F{col 67}= {res}    0.3833
{txt}{col 49}R-squared{col 67}= {res}    0.0942
{txt}{col 49}Adj R-squared{col 67}= {res}   -0.0336
{txt}{col 49}Root MSE{col 67}= {res}    0.7003

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}e_h_ctzpre~z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2} -.134271{col 26}{space 2} .1034163{col 37}{space 1}   -1.30{col 46}{space 3}0.196{col 54}{space 4}-.3384793{col 67}{space 3} .0699373
{txt}b_h_ctzpre~z {c |}{col 14}{res}{space 2} .0079571{col 26}{space 2} .0641321{col 37}{space 1}    0.12{col 46}{space 3}0.901{col 54}{space 4}-.1186797{col 67}{space 3} .1345939
{txt}c_tf~_hc_hc2 {c |}{col 14}{res}{space 2}-.0584948{col 26}{space 2} .1591786{col 37}{space 1}   -0.37{col 46}{space 3}0.714{col 54}{space 4}-.3728128{col 67}{space 3} .2558233
{txt}c_tfull_hc~l {c |}{col 14}{res}{space 2} .0323762{col 26}{space 2} .1552813{col 37}{space 1}    0.21{col 46}{space 3}0.835{col 54}{space 4}-.2742462{col 67}{space 3} .3389986
{txt}c_tfull_hc~s {c |}{col 14}{res}{space 2} .3169935{col 26}{space 2} .1844047{col 37}{space 1}    1.72{col 46}{space 3}0.088{col 54}{space 4}-.0471364{col 67}{space 3} .6811235
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2}-.3642223{col 26}{space 2} .5401904{col 37}{space 1}   -0.67{col 46}{space 3}0.501{col 54}{space 4}-1.430896{col 67}{space 3}  .702451
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2} .0153474{col 26}{space 2} .0701729{col 37}{space 1}    0.22{col 46}{space 3}0.827{col 54}{space 4}-.1232177{col 67}{space 3} .1539126
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2}-.1248174{col 26}{space 2}  .212503{col 37}{space 1}   -0.59{col 46}{space 3}0.558{col 54}{space 4} -.544431{col 67}{space 3} .2947962
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} .0132367{col 26}{space 2}  .067043{col 37}{space 1}    0.20{col 46}{space 3}0.844{col 54}{space 4} -.119148{col 67}{space 3} .1456214
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull = .007{p_end}

{txt}       F(  1,   163) ={res}    1.87
{txt}{col 13}Prob > F ={res}    0.1738

{p 0 7}{space 1}{text:( 1)}{space 1} treatfull = -.007{p_end}

{txt}       F(  1,   163) ={res}    1.51
{txt}{col 13}Prob > F ={res}    0.2202

{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}       187
{txt}{col 49}F({res}   8{txt},{res}    163{txt}){col 67}= {res}      1.07
{txt}{col 49}Prob > F{col 67}= {res}    0.3833
{txt}{col 49}R-squared{col 67}= {res}    0.0942
{txt}{col 49}Adj R-squared{col 67}= {res}   -0.0336
{txt}{col 49}Root MSE{col 67}= {res}    0.7003

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}e_h_ctzpre~z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2} -.134271{col 26}{space 2} .1034163{col 37}{space 1}   -1.30{col 46}{space 3}0.196{col 54}{space 4}-.3384793{col 67}{space 3} .0699373
{txt}b_h_ctzpre~z {c |}{col 14}{res}{space 2} .0079571{col 26}{space 2} .0641321{col 37}{space 1}    0.12{col 46}{space 3}0.901{col 54}{space 4}-.1186797{col 67}{space 3} .1345939
{txt}c_tf~_hc_hc2 {c |}{col 14}{res}{space 2}-.0584948{col 26}{space 2} .1591786{col 37}{space 1}   -0.37{col 46}{space 3}0.714{col 54}{space 4}-.3728128{col 67}{space 3} .2558233
{txt}c_tfull_hc~l {c |}{col 14}{res}{space 2} .0323762{col 26}{space 2} .1552813{col 37}{space 1}    0.21{col 46}{space 3}0.835{col 54}{space 4}-.2742462{col 67}{space 3} .3389986
{txt}c_tfull_hc~s {c |}{col 14}{res}{space 2} .3169935{col 26}{space 2} .1844047{col 37}{space 1}    1.72{col 46}{space 3}0.088{col 54}{space 4}-.0471364{col 67}{space 3} .6811235
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2}-.3642223{col 26}{space 2} .5401904{col 37}{space 1}   -0.67{col 46}{space 3}0.501{col 54}{space 4}-1.430896{col 67}{space 3}  .702451
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2} .0153474{col 26}{space 2} .0701729{col 37}{space 1}    0.22{col 46}{space 3}0.827{col 54}{space 4}-.1232177{col 67}{space 3} .1539126
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2}-.1248174{col 26}{space 2}  .212503{col 37}{space 1}   -0.59{col 46}{space 3}0.558{col 54}{space 4} -.544431{col 67}{space 3} .2947962
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} .0132367{col 26}{space 2}  .067043{col 37}{space 1}    0.20{col 46}{space 3}0.844{col 54}{space 4} -.119148{col 67}{space 3} .1456214
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull = .008{p_end}

{txt}       F(  1,   163) ={res}    1.89
{txt}{col 13}Prob > F ={res}    0.1708

{p 0 7}{space 1}{text:( 1)}{space 1} treatfull = -.008{p_end}

{txt}       F(  1,   163) ={res}    1.49
{txt}{col 13}Prob > F ={res}    0.2239

{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}       187
{txt}{col 49}F({res}   8{txt},{res}    163{txt}){col 67}= {res}      1.07
{txt}{col 49}Prob > F{col 67}= {res}    0.3833
{txt}{col 49}R-squared{col 67}= {res}    0.0942
{txt}{col 49}Adj R-squared{col 67}= {res}   -0.0336
{txt}{col 49}Root MSE{col 67}= {res}    0.7003

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}e_h_ctzpre~z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2} -.134271{col 26}{space 2} .1034163{col 37}{space 1}   -1.30{col 46}{space 3}0.196{col 54}{space 4}-.3384793{col 67}{space 3} .0699373
{txt}b_h_ctzpre~z {c |}{col 14}{res}{space 2} .0079571{col 26}{space 2} .0641321{col 37}{space 1}    0.12{col 46}{space 3}0.901{col 54}{space 4}-.1186797{col 67}{space 3} .1345939
{txt}c_tf~_hc_hc2 {c |}{col 14}{res}{space 2}-.0584948{col 26}{space 2} .1591786{col 37}{space 1}   -0.37{col 46}{space 3}0.714{col 54}{space 4}-.3728128{col 67}{space 3} .2558233
{txt}c_tfull_hc~l {c |}{col 14}{res}{space 2} .0323762{col 26}{space 2} .1552813{col 37}{space 1}    0.21{col 46}{space 3}0.835{col 54}{space 4}-.2742462{col 67}{space 3} .3389986
{txt}c_tfull_hc~s {c |}{col 14}{res}{space 2} .3169935{col 26}{space 2} .1844047{col 37}{space 1}    1.72{col 46}{space 3}0.088{col 54}{space 4}-.0471364{col 67}{space 3} .6811235
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2}-.3642223{col 26}{space 2} .5401904{col 37}{space 1}   -0.67{col 46}{space 3}0.501{col 54}{space 4}-1.430896{col 67}{space 3}  .702451
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2} .0153474{col 26}{space 2} .0701729{col 37}{space 1}    0.22{col 46}{space 3}0.827{col 54}{space 4}-.1232177{col 67}{space 3} .1539126
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2}-.1248174{col 26}{space 2}  .212503{col 37}{space 1}   -0.59{col 46}{space 3}0.558{col 54}{space 4} -.544431{col 67}{space 3} .2947962
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} .0132367{col 26}{space 2}  .067043{col 37}{space 1}    0.20{col 46}{space 3}0.844{col 54}{space 4} -.119148{col 67}{space 3} .1456214
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull = .009{p_end}

{txt}       F(  1,   163) ={res}    1.92
{txt}{col 13}Prob > F ={res}    0.1678

{p 0 7}{space 1}{text:( 1)}{space 1} treatfull = -.009{p_end}

{txt}       F(  1,   163) ={res}    1.47
{txt}{col 13}Prob > F ={res}    0.2275

{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}       187
{txt}{col 49}F({res}   8{txt},{res}    163{txt}){col 67}= {res}      1.07
{txt}{col 49}Prob > F{col 67}= {res}    0.3833
{txt}{col 49}R-squared{col 67}= {res}    0.0942
{txt}{col 49}Adj R-squared{col 67}= {res}   -0.0336
{txt}{col 49}Root MSE{col 67}= {res}    0.7003

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}e_h_ctzpre~z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2} -.134271{col 26}{space 2} .1034163{col 37}{space 1}   -1.30{col 46}{space 3}0.196{col 54}{space 4}-.3384793{col 67}{space 3} .0699373
{txt}b_h_ctzpre~z {c |}{col 14}{res}{space 2} .0079571{col 26}{space 2} .0641321{col 37}{space 1}    0.12{col 46}{space 3}0.901{col 54}{space 4}-.1186797{col 67}{space 3} .1345939
{txt}c_tf~_hc_hc2 {c |}{col 14}{res}{space 2}-.0584948{col 26}{space 2} .1591786{col 37}{space 1}   -0.37{col 46}{space 3}0.714{col 54}{space 4}-.3728128{col 67}{space 3} .2558233
{txt}c_tfull_hc~l {c |}{col 14}{res}{space 2} .0323762{col 26}{space 2} .1552813{col 37}{space 1}    0.21{col 46}{space 3}0.835{col 54}{space 4}-.2742462{col 67}{space 3} .3389986
{txt}c_tfull_hc~s {c |}{col 14}{res}{space 2} .3169935{col 26}{space 2} .1844047{col 37}{space 1}    1.72{col 46}{space 3}0.088{col 54}{space 4}-.0471364{col 67}{space 3} .6811235
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2}-.3642223{col 26}{space 2} .5401904{col 37}{space 1}   -0.67{col 46}{space 3}0.501{col 54}{space 4}-1.430896{col 67}{space 3}  .702451
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2} .0153474{col 26}{space 2} .0701729{col 37}{space 1}    0.22{col 46}{space 3}0.827{col 54}{space 4}-.1232177{col 67}{space 3} .1539126
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2}-.1248174{col 26}{space 2}  .212503{col 37}{space 1}   -0.59{col 46}{space 3}0.558{col 54}{space 4} -.544431{col 67}{space 3} .2947962
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} .0132367{col 26}{space 2}  .067043{col 37}{space 1}    0.20{col 46}{space 3}0.844{col 54}{space 4} -.119148{col 67}{space 3} .1456214
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull = .01{p_end}

{txt}       F(  1,   163) ={res}    1.95
{txt}{col 13}Prob > F ={res}    0.1649

{p 0 7}{space 1}{text:( 1)}{space 1} treatfull = -.01{p_end}

{txt}       F(  1,   163) ={res}    1.44
{txt}{col 13}Prob > F ={res}    0.2312

{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}       187
{txt}{col 49}F({res}   8{txt},{res}    163{txt}){col 67}= {res}      1.07
{txt}{col 49}Prob > F{col 67}= {res}    0.3833
{txt}{col 49}R-squared{col 67}= {res}    0.0942
{txt}{col 49}Adj R-squared{col 67}= {res}   -0.0336
{txt}{col 49}Root MSE{col 67}= {res}    0.7003

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}e_h_ctzpre~z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2} -.134271{col 26}{space 2} .1034163{col 37}{space 1}   -1.30{col 46}{space 3}0.196{col 54}{space 4}-.3384793{col 67}{space 3} .0699373
{txt}b_h_ctzpre~z {c |}{col 14}{res}{space 2} .0079571{col 26}{space 2} .0641321{col 37}{space 1}    0.12{col 46}{space 3}0.901{col 54}{space 4}-.1186797{col 67}{space 3} .1345939
{txt}c_tf~_hc_hc2 {c |}{col 14}{res}{space 2}-.0584948{col 26}{space 2} .1591786{col 37}{space 1}   -0.37{col 46}{space 3}0.714{col 54}{space 4}-.3728128{col 67}{space 3} .2558233
{txt}c_tfull_hc~l {c |}{col 14}{res}{space 2} .0323762{col 26}{space 2} .1552813{col 37}{space 1}    0.21{col 46}{space 3}0.835{col 54}{space 4}-.2742462{col 67}{space 3} .3389986
{txt}c_tfull_hc~s {c |}{col 14}{res}{space 2} .3169935{col 26}{space 2} .1844047{col 37}{space 1}    1.72{col 46}{space 3}0.088{col 54}{space 4}-.0471364{col 67}{space 3} .6811235
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2}-.3642223{col 26}{space 2} .5401904{col 37}{space 1}   -0.67{col 46}{space 3}0.501{col 54}{space 4}-1.430896{col 67}{space 3}  .702451
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2} .0153474{col 26}{space 2} .0701729{col 37}{space 1}    0.22{col 46}{space 3}0.827{col 54}{space 4}-.1232177{col 67}{space 3} .1539126
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2}-.1248174{col 26}{space 2}  .212503{col 37}{space 1}   -0.59{col 46}{space 3}0.558{col 54}{space 4} -.544431{col 67}{space 3} .2947962
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} .0132367{col 26}{space 2}  .067043{col 37}{space 1}    0.20{col 46}{space 3}0.844{col 54}{space 4} -.119148{col 67}{space 3} .1456214
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull = .011{p_end}

{txt}       F(  1,   163) ={res}    1.97
{txt}{col 13}Prob > F ={res}    0.1620

{p 0 7}{space 1}{text:( 1)}{space 1} treatfull = -.011{p_end}

{txt}       F(  1,   163) ={res}    1.42
{txt}{col 13}Prob > F ={res}    0.2350

{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}       187
{txt}{col 49}F({res}   8{txt},{res}    163{txt}){col 67}= {res}      1.07
{txt}{col 49}Prob > F{col 67}= {res}    0.3833
{txt}{col 49}R-squared{col 67}= {res}    0.0942
{txt}{col 49}Adj R-squared{col 67}= {res}   -0.0336
{txt}{col 49}Root MSE{col 67}= {res}    0.7003

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}e_h_ctzpre~z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2} -.134271{col 26}{space 2} .1034163{col 37}{space 1}   -1.30{col 46}{space 3}0.196{col 54}{space 4}-.3384793{col 67}{space 3} .0699373
{txt}b_h_ctzpre~z {c |}{col 14}{res}{space 2} .0079571{col 26}{space 2} .0641321{col 37}{space 1}    0.12{col 46}{space 3}0.901{col 54}{space 4}-.1186797{col 67}{space 3} .1345939
{txt}c_tf~_hc_hc2 {c |}{col 14}{res}{space 2}-.0584948{col 26}{space 2} .1591786{col 37}{space 1}   -0.37{col 46}{space 3}0.714{col 54}{space 4}-.3728128{col 67}{space 3} .2558233
{txt}c_tfull_hc~l {c |}{col 14}{res}{space 2} .0323762{col 26}{space 2} .1552813{col 37}{space 1}    0.21{col 46}{space 3}0.835{col 54}{space 4}-.2742462{col 67}{space 3} .3389986
{txt}c_tfull_hc~s {c |}{col 14}{res}{space 2} .3169935{col 26}{space 2} .1844047{col 37}{space 1}    1.72{col 46}{space 3}0.088{col 54}{space 4}-.0471364{col 67}{space 3} .6811235
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2}-.3642223{col 26}{space 2} .5401904{col 37}{space 1}   -0.67{col 46}{space 3}0.501{col 54}{space 4}-1.430896{col 67}{space 3}  .702451
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2} .0153474{col 26}{space 2} .0701729{col 37}{space 1}    0.22{col 46}{space 3}0.827{col 54}{space 4}-.1232177{col 67}{space 3} .1539126
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2}-.1248174{col 26}{space 2}  .212503{col 37}{space 1}   -0.59{col 46}{space 3}0.558{col 54}{space 4} -.544431{col 67}{space 3} .2947962
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} .0132367{col 26}{space 2}  .067043{col 37}{space 1}    0.20{col 46}{space 3}0.844{col 54}{space 4} -.119148{col 67}{space 3} .1456214
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull = .012{p_end}

{txt}       F(  1,   163) ={res}    2.00
{txt}{col 13}Prob > F ={res}    0.1592

{p 0 7}{space 1}{text:( 1)}{space 1} treatfull = -.012{p_end}

{txt}       F(  1,   163) ={res}    1.40
{txt}{col 13}Prob > F ={res}    0.2388

{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}       187
{txt}{col 49}F({res}   8{txt},{res}    163{txt}){col 67}= {res}      1.07
{txt}{col 49}Prob > F{col 67}= {res}    0.3833
{txt}{col 49}R-squared{col 67}= {res}    0.0942
{txt}{col 49}Adj R-squared{col 67}= {res}   -0.0336
{txt}{col 49}Root MSE{col 67}= {res}    0.7003

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}e_h_ctzpre~z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2} -.134271{col 26}{space 2} .1034163{col 37}{space 1}   -1.30{col 46}{space 3}0.196{col 54}{space 4}-.3384793{col 67}{space 3} .0699373
{txt}b_h_ctzpre~z {c |}{col 14}{res}{space 2} .0079571{col 26}{space 2} .0641321{col 37}{space 1}    0.12{col 46}{space 3}0.901{col 54}{space 4}-.1186797{col 67}{space 3} .1345939
{txt}c_tf~_hc_hc2 {c |}{col 14}{res}{space 2}-.0584948{col 26}{space 2} .1591786{col 37}{space 1}   -0.37{col 46}{space 3}0.714{col 54}{space 4}-.3728128{col 67}{space 3} .2558233
{txt}c_tfull_hc~l {c |}{col 14}{res}{space 2} .0323762{col 26}{space 2} .1552813{col 37}{space 1}    0.21{col 46}{space 3}0.835{col 54}{space 4}-.2742462{col 67}{space 3} .3389986
{txt}c_tfull_hc~s {c |}{col 14}{res}{space 2} .3169935{col 26}{space 2} .1844047{col 37}{space 1}    1.72{col 46}{space 3}0.088{col 54}{space 4}-.0471364{col 67}{space 3} .6811235
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2}-.3642223{col 26}{space 2} .5401904{col 37}{space 1}   -0.67{col 46}{space 3}0.501{col 54}{space 4}-1.430896{col 67}{space 3}  .702451
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2} .0153474{col 26}{space 2} .0701729{col 37}{space 1}    0.22{col 46}{space 3}0.827{col 54}{space 4}-.1232177{col 67}{space 3} .1539126
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2}-.1248174{col 26}{space 2}  .212503{col 37}{space 1}   -0.59{col 46}{space 3}0.558{col 54}{space 4} -.544431{col 67}{space 3} .2947962
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} .0132367{col 26}{space 2}  .067043{col 37}{space 1}    0.20{col 46}{space 3}0.844{col 54}{space 4} -.119148{col 67}{space 3} .1456214
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull = .013{p_end}

{txt}       F(  1,   163) ={res}    2.03
{txt}{col 13}Prob > F ={res}    0.1563

{p 0 7}{space 1}{text:( 1)}{space 1} treatfull = -.013{p_end}

{txt}       F(  1,   163) ={res}    1.38
{txt}{col 13}Prob > F ={res}    0.2426

{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}       187
{txt}{col 49}F({res}   8{txt},{res}    163{txt}){col 67}= {res}      1.07
{txt}{col 49}Prob > F{col 67}= {res}    0.3833
{txt}{col 49}R-squared{col 67}= {res}    0.0942
{txt}{col 49}Adj R-squared{col 67}= {res}   -0.0336
{txt}{col 49}Root MSE{col 67}= {res}    0.7003

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}e_h_ctzpre~z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2} -.134271{col 26}{space 2} .1034163{col 37}{space 1}   -1.30{col 46}{space 3}0.196{col 54}{space 4}-.3384793{col 67}{space 3} .0699373
{txt}b_h_ctzpre~z {c |}{col 14}{res}{space 2} .0079571{col 26}{space 2} .0641321{col 37}{space 1}    0.12{col 46}{space 3}0.901{col 54}{space 4}-.1186797{col 67}{space 3} .1345939
{txt}c_tf~_hc_hc2 {c |}{col 14}{res}{space 2}-.0584948{col 26}{space 2} .1591786{col 37}{space 1}   -0.37{col 46}{space 3}0.714{col 54}{space 4}-.3728128{col 67}{space 3} .2558233
{txt}c_tfull_hc~l {c |}{col 14}{res}{space 2} .0323762{col 26}{space 2} .1552813{col 37}{space 1}    0.21{col 46}{space 3}0.835{col 54}{space 4}-.2742462{col 67}{space 3} .3389986
{txt}c_tfull_hc~s {c |}{col 14}{res}{space 2} .3169935{col 26}{space 2} .1844047{col 37}{space 1}    1.72{col 46}{space 3}0.088{col 54}{space 4}-.0471364{col 67}{space 3} .6811235
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2}-.3642223{col 26}{space 2} .5401904{col 37}{space 1}   -0.67{col 46}{space 3}0.501{col 54}{space 4}-1.430896{col 67}{space 3}  .702451
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2} .0153474{col 26}{space 2} .0701729{col 37}{space 1}    0.22{col 46}{space 3}0.827{col 54}{space 4}-.1232177{col 67}{space 3} .1539126
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2}-.1248174{col 26}{space 2}  .212503{col 37}{space 1}   -0.59{col 46}{space 3}0.558{col 54}{space 4} -.544431{col 67}{space 3} .2947962
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} .0132367{col 26}{space 2}  .067043{col 37}{space 1}    0.20{col 46}{space 3}0.844{col 54}{space 4} -.119148{col 67}{space 3} .1456214
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull = .014{p_end}

{txt}       F(  1,   163) ={res}    2.06
{txt}{col 13}Prob > F ={res}    0.1536

{p 0 7}{space 1}{text:( 1)}{space 1} treatfull = -.014{p_end}

{txt}       F(  1,   163) ={res}    1.35
{txt}{col 13}Prob > F ={res}    0.2465

{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}       187
{txt}{col 49}F({res}   8{txt},{res}    163{txt}){col 67}= {res}      1.07
{txt}{col 49}Prob > F{col 67}= {res}    0.3833
{txt}{col 49}R-squared{col 67}= {res}    0.0942
{txt}{col 49}Adj R-squared{col 67}= {res}   -0.0336
{txt}{col 49}Root MSE{col 67}= {res}    0.7003

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}e_h_ctzpre~z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2} -.134271{col 26}{space 2} .1034163{col 37}{space 1}   -1.30{col 46}{space 3}0.196{col 54}{space 4}-.3384793{col 67}{space 3} .0699373
{txt}b_h_ctzpre~z {c |}{col 14}{res}{space 2} .0079571{col 26}{space 2} .0641321{col 37}{space 1}    0.12{col 46}{space 3}0.901{col 54}{space 4}-.1186797{col 67}{space 3} .1345939
{txt}c_tf~_hc_hc2 {c |}{col 14}{res}{space 2}-.0584948{col 26}{space 2} .1591786{col 37}{space 1}   -0.37{col 46}{space 3}0.714{col 54}{space 4}-.3728128{col 67}{space 3} .2558233
{txt}c_tfull_hc~l {c |}{col 14}{res}{space 2} .0323762{col 26}{space 2} .1552813{col 37}{space 1}    0.21{col 46}{space 3}0.835{col 54}{space 4}-.2742462{col 67}{space 3} .3389986
{txt}c_tfull_hc~s {c |}{col 14}{res}{space 2} .3169935{col 26}{space 2} .1844047{col 37}{space 1}    1.72{col 46}{space 3}0.088{col 54}{space 4}-.0471364{col 67}{space 3} .6811235
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2}-.3642223{col 26}{space 2} .5401904{col 37}{space 1}   -0.67{col 46}{space 3}0.501{col 54}{space 4}-1.430896{col 67}{space 3}  .702451
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2} .0153474{col 26}{space 2} .0701729{col 37}{space 1}    0.22{col 46}{space 3}0.827{col 54}{space 4}-.1232177{col 67}{space 3} .1539126
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2}-.1248174{col 26}{space 2}  .212503{col 37}{space 1}   -0.59{col 46}{space 3}0.558{col 54}{space 4} -.544431{col 67}{space 3} .2947962
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} .0132367{col 26}{space 2}  .067043{col 37}{space 1}    0.20{col 46}{space 3}0.844{col 54}{space 4} -.119148{col 67}{space 3} .1456214
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull = .015{p_end}

{txt}       F(  1,   163) ={res}    2.08
{txt}{col 13}Prob > F ={res}    0.1508

{p 0 7}{space 1}{text:( 1)}{space 1} treatfull = -.015{p_end}

{txt}       F(  1,   163) ={res}    1.33
{txt}{col 13}Prob > F ={res}    0.2505

{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}       187
{txt}{col 49}F({res}   8{txt},{res}    163{txt}){col 67}= {res}      1.07
{txt}{col 49}Prob > F{col 67}= {res}    0.3833
{txt}{col 49}R-squared{col 67}= {res}    0.0942
{txt}{col 49}Adj R-squared{col 67}= {res}   -0.0336
{txt}{col 49}Root MSE{col 67}= {res}    0.7003

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}e_h_ctzpre~z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2} -.134271{col 26}{space 2} .1034163{col 37}{space 1}   -1.30{col 46}{space 3}0.196{col 54}{space 4}-.3384793{col 67}{space 3} .0699373
{txt}b_h_ctzpre~z {c |}{col 14}{res}{space 2} .0079571{col 26}{space 2} .0641321{col 37}{space 1}    0.12{col 46}{space 3}0.901{col 54}{space 4}-.1186797{col 67}{space 3} .1345939
{txt}c_tf~_hc_hc2 {c |}{col 14}{res}{space 2}-.0584948{col 26}{space 2} .1591786{col 37}{space 1}   -0.37{col 46}{space 3}0.714{col 54}{space 4}-.3728128{col 67}{space 3} .2558233
{txt}c_tfull_hc~l {c |}{col 14}{res}{space 2} .0323762{col 26}{space 2} .1552813{col 37}{space 1}    0.21{col 46}{space 3}0.835{col 54}{space 4}-.2742462{col 67}{space 3} .3389986
{txt}c_tfull_hc~s {c |}{col 14}{res}{space 2} .3169935{col 26}{space 2} .1844047{col 37}{space 1}    1.72{col 46}{space 3}0.088{col 54}{space 4}-.0471364{col 67}{space 3} .6811235
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2}-.3642223{col 26}{space 2} .5401904{col 37}{space 1}   -0.67{col 46}{space 3}0.501{col 54}{space 4}-1.430896{col 67}{space 3}  .702451
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2} .0153474{col 26}{space 2} .0701729{col 37}{space 1}    0.22{col 46}{space 3}0.827{col 54}{space 4}-.1232177{col 67}{space 3} .1539126
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2}-.1248174{col 26}{space 2}  .212503{col 37}{space 1}   -0.59{col 46}{space 3}0.558{col 54}{space 4} -.544431{col 67}{space 3} .2947962
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} .0132367{col 26}{space 2}  .067043{col 37}{space 1}    0.20{col 46}{space 3}0.844{col 54}{space 4} -.119148{col 67}{space 3} .1456214
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull = .016{p_end}

{txt}       F(  1,   163) ={res}    2.11
{txt}{col 13}Prob > F ={res}    0.1481

{p 0 7}{space 1}{text:( 1)}{space 1} treatfull = -.016{p_end}

{txt}       F(  1,   163) ={res}    1.31
{txt}{col 13}Prob > F ={res}    0.2544

{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}       187
{txt}{col 49}F({res}   8{txt},{res}    163{txt}){col 67}= {res}      1.07
{txt}{col 49}Prob > F{col 67}= {res}    0.3833
{txt}{col 49}R-squared{col 67}= {res}    0.0942
{txt}{col 49}Adj R-squared{col 67}= {res}   -0.0336
{txt}{col 49}Root MSE{col 67}= {res}    0.7003

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}e_h_ctzpre~z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2} -.134271{col 26}{space 2} .1034163{col 37}{space 1}   -1.30{col 46}{space 3}0.196{col 54}{space 4}-.3384793{col 67}{space 3} .0699373
{txt}b_h_ctzpre~z {c |}{col 14}{res}{space 2} .0079571{col 26}{space 2} .0641321{col 37}{space 1}    0.12{col 46}{space 3}0.901{col 54}{space 4}-.1186797{col 67}{space 3} .1345939
{txt}c_tf~_hc_hc2 {c |}{col 14}{res}{space 2}-.0584948{col 26}{space 2} .1591786{col 37}{space 1}   -0.37{col 46}{space 3}0.714{col 54}{space 4}-.3728128{col 67}{space 3} .2558233
{txt}c_tfull_hc~l {c |}{col 14}{res}{space 2} .0323762{col 26}{space 2} .1552813{col 37}{space 1}    0.21{col 46}{space 3}0.835{col 54}{space 4}-.2742462{col 67}{space 3} .3389986
{txt}c_tfull_hc~s {c |}{col 14}{res}{space 2} .3169935{col 26}{space 2} .1844047{col 37}{space 1}    1.72{col 46}{space 3}0.088{col 54}{space 4}-.0471364{col 67}{space 3} .6811235
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2}-.3642223{col 26}{space 2} .5401904{col 37}{space 1}   -0.67{col 46}{space 3}0.501{col 54}{space 4}-1.430896{col 67}{space 3}  .702451
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2} .0153474{col 26}{space 2} .0701729{col 37}{space 1}    0.22{col 46}{space 3}0.827{col 54}{space 4}-.1232177{col 67}{space 3} .1539126
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2}-.1248174{col 26}{space 2}  .212503{col 37}{space 1}   -0.59{col 46}{space 3}0.558{col 54}{space 4} -.544431{col 67}{space 3} .2947962
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} .0132367{col 26}{space 2}  .067043{col 37}{space 1}    0.20{col 46}{space 3}0.844{col 54}{space 4} -.119148{col 67}{space 3} .1456214
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull = .017{p_end}

{txt}       F(  1,   163) ={res}    2.14
{txt}{col 13}Prob > F ={res}    0.1455

{p 0 7}{space 1}{text:( 1)}{space 1} treatfull = -.017{p_end}

{txt}       F(  1,   163) ={res}    1.29
{txt}{col 13}Prob > F ={res}    0.2585

{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}       187
{txt}{col 49}F({res}   8{txt},{res}    163{txt}){col 67}= {res}      1.07
{txt}{col 49}Prob > F{col 67}= {res}    0.3833
{txt}{col 49}R-squared{col 67}= {res}    0.0942
{txt}{col 49}Adj R-squared{col 67}= {res}   -0.0336
{txt}{col 49}Root MSE{col 67}= {res}    0.7003

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}e_h_ctzpre~z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2} -.134271{col 26}{space 2} .1034163{col 37}{space 1}   -1.30{col 46}{space 3}0.196{col 54}{space 4}-.3384793{col 67}{space 3} .0699373
{txt}b_h_ctzpre~z {c |}{col 14}{res}{space 2} .0079571{col 26}{space 2} .0641321{col 37}{space 1}    0.12{col 46}{space 3}0.901{col 54}{space 4}-.1186797{col 67}{space 3} .1345939
{txt}c_tf~_hc_hc2 {c |}{col 14}{res}{space 2}-.0584948{col 26}{space 2} .1591786{col 37}{space 1}   -0.37{col 46}{space 3}0.714{col 54}{space 4}-.3728128{col 67}{space 3} .2558233
{txt}c_tfull_hc~l {c |}{col 14}{res}{space 2} .0323762{col 26}{space 2} .1552813{col 37}{space 1}    0.21{col 46}{space 3}0.835{col 54}{space 4}-.2742462{col 67}{space 3} .3389986
{txt}c_tfull_hc~s {c |}{col 14}{res}{space 2} .3169935{col 26}{space 2} .1844047{col 37}{space 1}    1.72{col 46}{space 3}0.088{col 54}{space 4}-.0471364{col 67}{space 3} .6811235
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2}-.3642223{col 26}{space 2} .5401904{col 37}{space 1}   -0.67{col 46}{space 3}0.501{col 54}{space 4}-1.430896{col 67}{space 3}  .702451
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2} .0153474{col 26}{space 2} .0701729{col 37}{space 1}    0.22{col 46}{space 3}0.827{col 54}{space 4}-.1232177{col 67}{space 3} .1539126
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2}-.1248174{col 26}{space 2}  .212503{col 37}{space 1}   -0.59{col 46}{space 3}0.558{col 54}{space 4} -.544431{col 67}{space 3} .2947962
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} .0132367{col 26}{space 2}  .067043{col 37}{space 1}    0.20{col 46}{space 3}0.844{col 54}{space 4} -.119148{col 67}{space 3} .1456214
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull = .018{p_end}

{txt}       F(  1,   163) ={res}    2.17
{txt}{col 13}Prob > F ={res}    0.1428

{p 0 7}{space 1}{text:( 1)}{space 1} treatfull = -.018{p_end}

{txt}       F(  1,   163) ={res}    1.26
{txt}{col 13}Prob > F ={res}    0.2625

{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}       187
{txt}{col 49}F({res}   8{txt},{res}    163{txt}){col 67}= {res}      1.07
{txt}{col 49}Prob > F{col 67}= {res}    0.3833
{txt}{col 49}R-squared{col 67}= {res}    0.0942
{txt}{col 49}Adj R-squared{col 67}= {res}   -0.0336
{txt}{col 49}Root MSE{col 67}= {res}    0.7003

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}e_h_ctzpre~z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2} -.134271{col 26}{space 2} .1034163{col 37}{space 1}   -1.30{col 46}{space 3}0.196{col 54}{space 4}-.3384793{col 67}{space 3} .0699373
{txt}b_h_ctzpre~z {c |}{col 14}{res}{space 2} .0079571{col 26}{space 2} .0641321{col 37}{space 1}    0.12{col 46}{space 3}0.901{col 54}{space 4}-.1186797{col 67}{space 3} .1345939
{txt}c_tf~_hc_hc2 {c |}{col 14}{res}{space 2}-.0584948{col 26}{space 2} .1591786{col 37}{space 1}   -0.37{col 46}{space 3}0.714{col 54}{space 4}-.3728128{col 67}{space 3} .2558233
{txt}c_tfull_hc~l {c |}{col 14}{res}{space 2} .0323762{col 26}{space 2} .1552813{col 37}{space 1}    0.21{col 46}{space 3}0.835{col 54}{space 4}-.2742462{col 67}{space 3} .3389986
{txt}c_tfull_hc~s {c |}{col 14}{res}{space 2} .3169935{col 26}{space 2} .1844047{col 37}{space 1}    1.72{col 46}{space 3}0.088{col 54}{space 4}-.0471364{col 67}{space 3} .6811235
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2}-.3642223{col 26}{space 2} .5401904{col 37}{space 1}   -0.67{col 46}{space 3}0.501{col 54}{space 4}-1.430896{col 67}{space 3}  .702451
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2} .0153474{col 26}{space 2} .0701729{col 37}{space 1}    0.22{col 46}{space 3}0.827{col 54}{space 4}-.1232177{col 67}{space 3} .1539126
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2}-.1248174{col 26}{space 2}  .212503{col 37}{space 1}   -0.59{col 46}{space 3}0.558{col 54}{space 4} -.544431{col 67}{space 3} .2947962
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} .0132367{col 26}{space 2}  .067043{col 37}{space 1}    0.20{col 46}{space 3}0.844{col 54}{space 4} -.119148{col 67}{space 3} .1456214
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull = .019{p_end}

{txt}       F(  1,   163) ={res}    2.20
{txt}{col 13}Prob > F ={res}    0.1403

{p 0 7}{space 1}{text:( 1)}{space 1} treatfull = -.019{p_end}

{txt}       F(  1,   163) ={res}    1.24
{txt}{col 13}Prob > F ={res}    0.2666

{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}       187
{txt}{col 49}F({res}   8{txt},{res}    163{txt}){col 67}= {res}      1.07
{txt}{col 49}Prob > F{col 67}= {res}    0.3833
{txt}{col 49}R-squared{col 67}= {res}    0.0942
{txt}{col 49}Adj R-squared{col 67}= {res}   -0.0336
{txt}{col 49}Root MSE{col 67}= {res}    0.7003

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}e_h_ctzpre~z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2} -.134271{col 26}{space 2} .1034163{col 37}{space 1}   -1.30{col 46}{space 3}0.196{col 54}{space 4}-.3384793{col 67}{space 3} .0699373
{txt}b_h_ctzpre~z {c |}{col 14}{res}{space 2} .0079571{col 26}{space 2} .0641321{col 37}{space 1}    0.12{col 46}{space 3}0.901{col 54}{space 4}-.1186797{col 67}{space 3} .1345939
{txt}c_tf~_hc_hc2 {c |}{col 14}{res}{space 2}-.0584948{col 26}{space 2} .1591786{col 37}{space 1}   -0.37{col 46}{space 3}0.714{col 54}{space 4}-.3728128{col 67}{space 3} .2558233
{txt}c_tfull_hc~l {c |}{col 14}{res}{space 2} .0323762{col 26}{space 2} .1552813{col 37}{space 1}    0.21{col 46}{space 3}0.835{col 54}{space 4}-.2742462{col 67}{space 3} .3389986
{txt}c_tfull_hc~s {c |}{col 14}{res}{space 2} .3169935{col 26}{space 2} .1844047{col 37}{space 1}    1.72{col 46}{space 3}0.088{col 54}{space 4}-.0471364{col 67}{space 3} .6811235
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2}-.3642223{col 26}{space 2} .5401904{col 37}{space 1}   -0.67{col 46}{space 3}0.501{col 54}{space 4}-1.430896{col 67}{space 3}  .702451
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2} .0153474{col 26}{space 2} .0701729{col 37}{space 1}    0.22{col 46}{space 3}0.827{col 54}{space 4}-.1232177{col 67}{space 3} .1539126
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2}-.1248174{col 26}{space 2}  .212503{col 37}{space 1}   -0.59{col 46}{space 3}0.558{col 54}{space 4} -.544431{col 67}{space 3} .2947962
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} .0132367{col 26}{space 2}  .067043{col 37}{space 1}    0.20{col 46}{space 3}0.844{col 54}{space 4} -.119148{col 67}{space 3} .1456214
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull = .02{p_end}

{txt}       F(  1,   163) ={res}    2.23
{txt}{col 13}Prob > F ={res}    0.1377

{p 0 7}{space 1}{text:( 1)}{space 1} treatfull = -.02{p_end}

{txt}       F(  1,   163) ={res}    1.22
{txt}{col 13}Prob > F ={res}    0.2708

{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}       187
{txt}{col 49}F({res}   8{txt},{res}    163{txt}){col 67}= {res}      1.07
{txt}{col 49}Prob > F{col 67}= {res}    0.3833
{txt}{col 49}R-squared{col 67}= {res}    0.0942
{txt}{col 49}Adj R-squared{col 67}= {res}   -0.0336
{txt}{col 49}Root MSE{col 67}= {res}    0.7003

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}e_h_ctzpre~z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2} -.134271{col 26}{space 2} .1034163{col 37}{space 1}   -1.30{col 46}{space 3}0.196{col 54}{space 4}-.3384793{col 67}{space 3} .0699373
{txt}b_h_ctzpre~z {c |}{col 14}{res}{space 2} .0079571{col 26}{space 2} .0641321{col 37}{space 1}    0.12{col 46}{space 3}0.901{col 54}{space 4}-.1186797{col 67}{space 3} .1345939
{txt}c_tf~_hc_hc2 {c |}{col 14}{res}{space 2}-.0584948{col 26}{space 2} .1591786{col 37}{space 1}   -0.37{col 46}{space 3}0.714{col 54}{space 4}-.3728128{col 67}{space 3} .2558233
{txt}c_tfull_hc~l {c |}{col 14}{res}{space 2} .0323762{col 26}{space 2} .1552813{col 37}{space 1}    0.21{col 46}{space 3}0.835{col 54}{space 4}-.2742462{col 67}{space 3} .3389986
{txt}c_tfull_hc~s {c |}{col 14}{res}{space 2} .3169935{col 26}{space 2} .1844047{col 37}{space 1}    1.72{col 46}{space 3}0.088{col 54}{space 4}-.0471364{col 67}{space 3} .6811235
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2}-.3642223{col 26}{space 2} .5401904{col 37}{space 1}   -0.67{col 46}{space 3}0.501{col 54}{space 4}-1.430896{col 67}{space 3}  .702451
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2} .0153474{col 26}{space 2} .0701729{col 37}{space 1}    0.22{col 46}{space 3}0.827{col 54}{space 4}-.1232177{col 67}{space 3} .1539126
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2}-.1248174{col 26}{space 2}  .212503{col 37}{space 1}   -0.59{col 46}{space 3}0.558{col 54}{space 4} -.544431{col 67}{space 3} .2947962
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} .0132367{col 26}{space 2}  .067043{col 37}{space 1}    0.20{col 46}{space 3}0.844{col 54}{space 4} -.119148{col 67}{space 3} .1456214
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull = .021{p_end}

{txt}       F(  1,   163) ={res}    2.25
{txt}{col 13}Prob > F ={res}    0.1352

{p 0 7}{space 1}{text:( 1)}{space 1} treatfull = -.021{p_end}

{txt}       F(  1,   163) ={res}    1.20
{txt}{col 13}Prob > F ={res}    0.2750

{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}       187
{txt}{col 49}F({res}   8{txt},{res}    163{txt}){col 67}= {res}      1.07
{txt}{col 49}Prob > F{col 67}= {res}    0.3833
{txt}{col 49}R-squared{col 67}= {res}    0.0942
{txt}{col 49}Adj R-squared{col 67}= {res}   -0.0336
{txt}{col 49}Root MSE{col 67}= {res}    0.7003

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}e_h_ctzpre~z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2} -.134271{col 26}{space 2} .1034163{col 37}{space 1}   -1.30{col 46}{space 3}0.196{col 54}{space 4}-.3384793{col 67}{space 3} .0699373
{txt}b_h_ctzpre~z {c |}{col 14}{res}{space 2} .0079571{col 26}{space 2} .0641321{col 37}{space 1}    0.12{col 46}{space 3}0.901{col 54}{space 4}-.1186797{col 67}{space 3} .1345939
{txt}c_tf~_hc_hc2 {c |}{col 14}{res}{space 2}-.0584948{col 26}{space 2} .1591786{col 37}{space 1}   -0.37{col 46}{space 3}0.714{col 54}{space 4}-.3728128{col 67}{space 3} .2558233
{txt}c_tfull_hc~l {c |}{col 14}{res}{space 2} .0323762{col 26}{space 2} .1552813{col 37}{space 1}    0.21{col 46}{space 3}0.835{col 54}{space 4}-.2742462{col 67}{space 3} .3389986
{txt}c_tfull_hc~s {c |}{col 14}{res}{space 2} .3169935{col 26}{space 2} .1844047{col 37}{space 1}    1.72{col 46}{space 3}0.088{col 54}{space 4}-.0471364{col 67}{space 3} .6811235
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2}-.3642223{col 26}{space 2} .5401904{col 37}{space 1}   -0.67{col 46}{space 3}0.501{col 54}{space 4}-1.430896{col 67}{space 3}  .702451
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2} .0153474{col 26}{space 2} .0701729{col 37}{space 1}    0.22{col 46}{space 3}0.827{col 54}{space 4}-.1232177{col 67}{space 3} .1539126
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2}-.1248174{col 26}{space 2}  .212503{col 37}{space 1}   -0.59{col 46}{space 3}0.558{col 54}{space 4} -.544431{col 67}{space 3} .2947962
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} .0132367{col 26}{space 2}  .067043{col 37}{space 1}    0.20{col 46}{space 3}0.844{col 54}{space 4} -.119148{col 67}{space 3} .1456214
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull = .022{p_end}

{txt}       F(  1,   163) ={res}    2.28
{txt}{col 13}Prob > F ={res}    0.1327

{p 0 7}{space 1}{text:( 1)}{space 1} treatfull = -.022{p_end}

{txt}       F(  1,   163) ={res}    1.18
{txt}{col 13}Prob > F ={res}    0.2792

{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}       187
{txt}{col 49}F({res}   8{txt},{res}    163{txt}){col 67}= {res}      1.07
{txt}{col 49}Prob > F{col 67}= {res}    0.3833
{txt}{col 49}R-squared{col 67}= {res}    0.0942
{txt}{col 49}Adj R-squared{col 67}= {res}   -0.0336
{txt}{col 49}Root MSE{col 67}= {res}    0.7003

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}e_h_ctzpre~z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2} -.134271{col 26}{space 2} .1034163{col 37}{space 1}   -1.30{col 46}{space 3}0.196{col 54}{space 4}-.3384793{col 67}{space 3} .0699373
{txt}b_h_ctzpre~z {c |}{col 14}{res}{space 2} .0079571{col 26}{space 2} .0641321{col 37}{space 1}    0.12{col 46}{space 3}0.901{col 54}{space 4}-.1186797{col 67}{space 3} .1345939
{txt}c_tf~_hc_hc2 {c |}{col 14}{res}{space 2}-.0584948{col 26}{space 2} .1591786{col 37}{space 1}   -0.37{col 46}{space 3}0.714{col 54}{space 4}-.3728128{col 67}{space 3} .2558233
{txt}c_tfull_hc~l {c |}{col 14}{res}{space 2} .0323762{col 26}{space 2} .1552813{col 37}{space 1}    0.21{col 46}{space 3}0.835{col 54}{space 4}-.2742462{col 67}{space 3} .3389986
{txt}c_tfull_hc~s {c |}{col 14}{res}{space 2} .3169935{col 26}{space 2} .1844047{col 37}{space 1}    1.72{col 46}{space 3}0.088{col 54}{space 4}-.0471364{col 67}{space 3} .6811235
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2}-.3642223{col 26}{space 2} .5401904{col 37}{space 1}   -0.67{col 46}{space 3}0.501{col 54}{space 4}-1.430896{col 67}{space 3}  .702451
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2} .0153474{col 26}{space 2} .0701729{col 37}{space 1}    0.22{col 46}{space 3}0.827{col 54}{space 4}-.1232177{col 67}{space 3} .1539126
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2}-.1248174{col 26}{space 2}  .212503{col 37}{space 1}   -0.59{col 46}{space 3}0.558{col 54}{space 4} -.544431{col 67}{space 3} .2947962
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} .0132367{col 26}{space 2}  .067043{col 37}{space 1}    0.20{col 46}{space 3}0.844{col 54}{space 4} -.119148{col 67}{space 3} .1456214
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull = .023{p_end}

{txt}       F(  1,   163) ={res}    2.31
{txt}{col 13}Prob > F ={res}    0.1303

{p 0 7}{space 1}{text:( 1)}{space 1} treatfull = -.023{p_end}

{txt}       F(  1,   163) ={res}    1.16
{txt}{col 13}Prob > F ={res}    0.2835

{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}       187
{txt}{col 49}F({res}   8{txt},{res}    163{txt}){col 67}= {res}      1.07
{txt}{col 49}Prob > F{col 67}= {res}    0.3833
{txt}{col 49}R-squared{col 67}= {res}    0.0942
{txt}{col 49}Adj R-squared{col 67}= {res}   -0.0336
{txt}{col 49}Root MSE{col 67}= {res}    0.7003

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}e_h_ctzpre~z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2} -.134271{col 26}{space 2} .1034163{col 37}{space 1}   -1.30{col 46}{space 3}0.196{col 54}{space 4}-.3384793{col 67}{space 3} .0699373
{txt}b_h_ctzpre~z {c |}{col 14}{res}{space 2} .0079571{col 26}{space 2} .0641321{col 37}{space 1}    0.12{col 46}{space 3}0.901{col 54}{space 4}-.1186797{col 67}{space 3} .1345939
{txt}c_tf~_hc_hc2 {c |}{col 14}{res}{space 2}-.0584948{col 26}{space 2} .1591786{col 37}{space 1}   -0.37{col 46}{space 3}0.714{col 54}{space 4}-.3728128{col 67}{space 3} .2558233
{txt}c_tfull_hc~l {c |}{col 14}{res}{space 2} .0323762{col 26}{space 2} .1552813{col 37}{space 1}    0.21{col 46}{space 3}0.835{col 54}{space 4}-.2742462{col 67}{space 3} .3389986
{txt}c_tfull_hc~s {c |}{col 14}{res}{space 2} .3169935{col 26}{space 2} .1844047{col 37}{space 1}    1.72{col 46}{space 3}0.088{col 54}{space 4}-.0471364{col 67}{space 3} .6811235
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2}-.3642223{col 26}{space 2} .5401904{col 37}{space 1}   -0.67{col 46}{space 3}0.501{col 54}{space 4}-1.430896{col 67}{space 3}  .702451
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2} .0153474{col 26}{space 2} .0701729{col 37}{space 1}    0.22{col 46}{space 3}0.827{col 54}{space 4}-.1232177{col 67}{space 3} .1539126
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2}-.1248174{col 26}{space 2}  .212503{col 37}{space 1}   -0.59{col 46}{space 3}0.558{col 54}{space 4} -.544431{col 67}{space 3} .2947962
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} .0132367{col 26}{space 2}  .067043{col 37}{space 1}    0.20{col 46}{space 3}0.844{col 54}{space 4} -.119148{col 67}{space 3} .1456214
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull = .024{p_end}

{txt}       F(  1,   163) ={res}    2.34
{txt}{col 13}Prob > F ={res}    0.1278

{p 0 7}{space 1}{text:( 1)}{space 1} treatfull = -.024{p_end}

{txt}       F(  1,   163) ={res}    1.14
{txt}{col 13}Prob > F ={res}    0.2879

{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}       187
{txt}{col 49}F({res}   8{txt},{res}    163{txt}){col 67}= {res}      1.07
{txt}{col 49}Prob > F{col 67}= {res}    0.3833
{txt}{col 49}R-squared{col 67}= {res}    0.0942
{txt}{col 49}Adj R-squared{col 67}= {res}   -0.0336
{txt}{col 49}Root MSE{col 67}= {res}    0.7003

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}e_h_ctzpre~z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2} -.134271{col 26}{space 2} .1034163{col 37}{space 1}   -1.30{col 46}{space 3}0.196{col 54}{space 4}-.3384793{col 67}{space 3} .0699373
{txt}b_h_ctzpre~z {c |}{col 14}{res}{space 2} .0079571{col 26}{space 2} .0641321{col 37}{space 1}    0.12{col 46}{space 3}0.901{col 54}{space 4}-.1186797{col 67}{space 3} .1345939
{txt}c_tf~_hc_hc2 {c |}{col 14}{res}{space 2}-.0584948{col 26}{space 2} .1591786{col 37}{space 1}   -0.37{col 46}{space 3}0.714{col 54}{space 4}-.3728128{col 67}{space 3} .2558233
{txt}c_tfull_hc~l {c |}{col 14}{res}{space 2} .0323762{col 26}{space 2} .1552813{col 37}{space 1}    0.21{col 46}{space 3}0.835{col 54}{space 4}-.2742462{col 67}{space 3} .3389986
{txt}c_tfull_hc~s {c |}{col 14}{res}{space 2} .3169935{col 26}{space 2} .1844047{col 37}{space 1}    1.72{col 46}{space 3}0.088{col 54}{space 4}-.0471364{col 67}{space 3} .6811235
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2}-.3642223{col 26}{space 2} .5401904{col 37}{space 1}   -0.67{col 46}{space 3}0.501{col 54}{space 4}-1.430896{col 67}{space 3}  .702451
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2} .0153474{col 26}{space 2} .0701729{col 37}{space 1}    0.22{col 46}{space 3}0.827{col 54}{space 4}-.1232177{col 67}{space 3} .1539126
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2}-.1248174{col 26}{space 2}  .212503{col 37}{space 1}   -0.59{col 46}{space 3}0.558{col 54}{space 4} -.544431{col 67}{space 3} .2947962
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} .0132367{col 26}{space 2}  .067043{col 37}{space 1}    0.20{col 46}{space 3}0.844{col 54}{space 4} -.119148{col 67}{space 3} .1456214
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull = .025{p_end}

{txt}       F(  1,   163) ={res}    2.37
{txt}{col 13}Prob > F ={res}    0.1255

{p 0 7}{space 1}{text:( 1)}{space 1} treatfull = -.025{p_end}

{txt}       F(  1,   163) ={res}    1.12
{txt}{col 13}Prob > F ={res}    0.2923

{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}       187
{txt}{col 49}F({res}   8{txt},{res}    163{txt}){col 67}= {res}      1.07
{txt}{col 49}Prob > F{col 67}= {res}    0.3833
{txt}{col 49}R-squared{col 67}= {res}    0.0942
{txt}{col 49}Adj R-squared{col 67}= {res}   -0.0336
{txt}{col 49}Root MSE{col 67}= {res}    0.7003

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}e_h_ctzpre~z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2} -.134271{col 26}{space 2} .1034163{col 37}{space 1}   -1.30{col 46}{space 3}0.196{col 54}{space 4}-.3384793{col 67}{space 3} .0699373
{txt}b_h_ctzpre~z {c |}{col 14}{res}{space 2} .0079571{col 26}{space 2} .0641321{col 37}{space 1}    0.12{col 46}{space 3}0.901{col 54}{space 4}-.1186797{col 67}{space 3} .1345939
{txt}c_tf~_hc_hc2 {c |}{col 14}{res}{space 2}-.0584948{col 26}{space 2} .1591786{col 37}{space 1}   -0.37{col 46}{space 3}0.714{col 54}{space 4}-.3728128{col 67}{space 3} .2558233
{txt}c_tfull_hc~l {c |}{col 14}{res}{space 2} .0323762{col 26}{space 2} .1552813{col 37}{space 1}    0.21{col 46}{space 3}0.835{col 54}{space 4}-.2742462{col 67}{space 3} .3389986
{txt}c_tfull_hc~s {c |}{col 14}{res}{space 2} .3169935{col 26}{space 2} .1844047{col 37}{space 1}    1.72{col 46}{space 3}0.088{col 54}{space 4}-.0471364{col 67}{space 3} .6811235
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2}-.3642223{col 26}{space 2} .5401904{col 37}{space 1}   -0.67{col 46}{space 3}0.501{col 54}{space 4}-1.430896{col 67}{space 3}  .702451
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2} .0153474{col 26}{space 2} .0701729{col 37}{space 1}    0.22{col 46}{space 3}0.827{col 54}{space 4}-.1232177{col 67}{space 3} .1539126
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2}-.1248174{col 26}{space 2}  .212503{col 37}{space 1}   -0.59{col 46}{space 3}0.558{col 54}{space 4} -.544431{col 67}{space 3} .2947962
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} .0132367{col 26}{space 2}  .067043{col 37}{space 1}    0.20{col 46}{space 3}0.844{col 54}{space 4} -.119148{col 67}{space 3} .1456214
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull = .026{p_end}

{txt}       F(  1,   163) ={res}    2.40
{txt}{col 13}Prob > F ={res}    0.1231

{p 0 7}{space 1}{text:( 1)}{space 1} treatfull = -.026{p_end}

{txt}       F(  1,   163) ={res}    1.10
{txt}{col 13}Prob > F ={res}    0.2967

{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}       187
{txt}{col 49}F({res}   8{txt},{res}    163{txt}){col 67}= {res}      1.07
{txt}{col 49}Prob > F{col 67}= {res}    0.3833
{txt}{col 49}R-squared{col 67}= {res}    0.0942
{txt}{col 49}Adj R-squared{col 67}= {res}   -0.0336
{txt}{col 49}Root MSE{col 67}= {res}    0.7003

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}e_h_ctzpre~z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2} -.134271{col 26}{space 2} .1034163{col 37}{space 1}   -1.30{col 46}{space 3}0.196{col 54}{space 4}-.3384793{col 67}{space 3} .0699373
{txt}b_h_ctzpre~z {c |}{col 14}{res}{space 2} .0079571{col 26}{space 2} .0641321{col 37}{space 1}    0.12{col 46}{space 3}0.901{col 54}{space 4}-.1186797{col 67}{space 3} .1345939
{txt}c_tf~_hc_hc2 {c |}{col 14}{res}{space 2}-.0584948{col 26}{space 2} .1591786{col 37}{space 1}   -0.37{col 46}{space 3}0.714{col 54}{space 4}-.3728128{col 67}{space 3} .2558233
{txt}c_tfull_hc~l {c |}{col 14}{res}{space 2} .0323762{col 26}{space 2} .1552813{col 37}{space 1}    0.21{col 46}{space 3}0.835{col 54}{space 4}-.2742462{col 67}{space 3} .3389986
{txt}c_tfull_hc~s {c |}{col 14}{res}{space 2} .3169935{col 26}{space 2} .1844047{col 37}{space 1}    1.72{col 46}{space 3}0.088{col 54}{space 4}-.0471364{col 67}{space 3} .6811235
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2}-.3642223{col 26}{space 2} .5401904{col 37}{space 1}   -0.67{col 46}{space 3}0.501{col 54}{space 4}-1.430896{col 67}{space 3}  .702451
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2} .0153474{col 26}{space 2} .0701729{col 37}{space 1}    0.22{col 46}{space 3}0.827{col 54}{space 4}-.1232177{col 67}{space 3} .1539126
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2}-.1248174{col 26}{space 2}  .212503{col 37}{space 1}   -0.59{col 46}{space 3}0.558{col 54}{space 4} -.544431{col 67}{space 3} .2947962
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} .0132367{col 26}{space 2}  .067043{col 37}{space 1}    0.20{col 46}{space 3}0.844{col 54}{space 4} -.119148{col 67}{space 3} .1456214
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull = .027{p_end}

{txt}       F(  1,   163) ={res}    2.43
{txt}{col 13}Prob > F ={res}    0.1208

{p 0 7}{space 1}{text:( 1)}{space 1} treatfull = -.027{p_end}

{txt}       F(  1,   163) ={res}    1.08
{txt}{col 13}Prob > F ={res}    0.3011

{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}       187
{txt}{col 49}F({res}   8{txt},{res}    163{txt}){col 67}= {res}      1.07
{txt}{col 49}Prob > F{col 67}= {res}    0.3833
{txt}{col 49}R-squared{col 67}= {res}    0.0942
{txt}{col 49}Adj R-squared{col 67}= {res}   -0.0336
{txt}{col 49}Root MSE{col 67}= {res}    0.7003

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}e_h_ctzpre~z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2} -.134271{col 26}{space 2} .1034163{col 37}{space 1}   -1.30{col 46}{space 3}0.196{col 54}{space 4}-.3384793{col 67}{space 3} .0699373
{txt}b_h_ctzpre~z {c |}{col 14}{res}{space 2} .0079571{col 26}{space 2} .0641321{col 37}{space 1}    0.12{col 46}{space 3}0.901{col 54}{space 4}-.1186797{col 67}{space 3} .1345939
{txt}c_tf~_hc_hc2 {c |}{col 14}{res}{space 2}-.0584948{col 26}{space 2} .1591786{col 37}{space 1}   -0.37{col 46}{space 3}0.714{col 54}{space 4}-.3728128{col 67}{space 3} .2558233
{txt}c_tfull_hc~l {c |}{col 14}{res}{space 2} .0323762{col 26}{space 2} .1552813{col 37}{space 1}    0.21{col 46}{space 3}0.835{col 54}{space 4}-.2742462{col 67}{space 3} .3389986
{txt}c_tfull_hc~s {c |}{col 14}{res}{space 2} .3169935{col 26}{space 2} .1844047{col 37}{space 1}    1.72{col 46}{space 3}0.088{col 54}{space 4}-.0471364{col 67}{space 3} .6811235
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2}-.3642223{col 26}{space 2} .5401904{col 37}{space 1}   -0.67{col 46}{space 3}0.501{col 54}{space 4}-1.430896{col 67}{space 3}  .702451
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2} .0153474{col 26}{space 2} .0701729{col 37}{space 1}    0.22{col 46}{space 3}0.827{col 54}{space 4}-.1232177{col 67}{space 3} .1539126
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2}-.1248174{col 26}{space 2}  .212503{col 37}{space 1}   -0.59{col 46}{space 3}0.558{col 54}{space 4} -.544431{col 67}{space 3} .2947962
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} .0132367{col 26}{space 2}  .067043{col 37}{space 1}    0.20{col 46}{space 3}0.844{col 54}{space 4} -.119148{col 67}{space 3} .1456214
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull = .028{p_end}

{txt}       F(  1,   163) ={res}    2.46
{txt}{col 13}Prob > F ={res}    0.1186

{p 0 7}{space 1}{text:( 1)}{space 1} treatfull = -.028{p_end}

{txt}       F(  1,   163) ={res}    1.06
{txt}{col 13}Prob > F ={res}    0.3057

{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}       187
{txt}{col 49}F({res}   8{txt},{res}    163{txt}){col 67}= {res}      1.07
{txt}{col 49}Prob > F{col 67}= {res}    0.3833
{txt}{col 49}R-squared{col 67}= {res}    0.0942
{txt}{col 49}Adj R-squared{col 67}= {res}   -0.0336
{txt}{col 49}Root MSE{col 67}= {res}    0.7003

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}e_h_ctzpre~z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2} -.134271{col 26}{space 2} .1034163{col 37}{space 1}   -1.30{col 46}{space 3}0.196{col 54}{space 4}-.3384793{col 67}{space 3} .0699373
{txt}b_h_ctzpre~z {c |}{col 14}{res}{space 2} .0079571{col 26}{space 2} .0641321{col 37}{space 1}    0.12{col 46}{space 3}0.901{col 54}{space 4}-.1186797{col 67}{space 3} .1345939
{txt}c_tf~_hc_hc2 {c |}{col 14}{res}{space 2}-.0584948{col 26}{space 2} .1591786{col 37}{space 1}   -0.37{col 46}{space 3}0.714{col 54}{space 4}-.3728128{col 67}{space 3} .2558233
{txt}c_tfull_hc~l {c |}{col 14}{res}{space 2} .0323762{col 26}{space 2} .1552813{col 37}{space 1}    0.21{col 46}{space 3}0.835{col 54}{space 4}-.2742462{col 67}{space 3} .3389986
{txt}c_tfull_hc~s {c |}{col 14}{res}{space 2} .3169935{col 26}{space 2} .1844047{col 37}{space 1}    1.72{col 46}{space 3}0.088{col 54}{space 4}-.0471364{col 67}{space 3} .6811235
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2}-.3642223{col 26}{space 2} .5401904{col 37}{space 1}   -0.67{col 46}{space 3}0.501{col 54}{space 4}-1.430896{col 67}{space 3}  .702451
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2} .0153474{col 26}{space 2} .0701729{col 37}{space 1}    0.22{col 46}{space 3}0.827{col 54}{space 4}-.1232177{col 67}{space 3} .1539126
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2}-.1248174{col 26}{space 2}  .212503{col 37}{space 1}   -0.59{col 46}{space 3}0.558{col 54}{space 4} -.544431{col 67}{space 3} .2947962
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} .0132367{col 26}{space 2}  .067043{col 37}{space 1}    0.20{col 46}{space 3}0.844{col 54}{space 4} -.119148{col 67}{space 3} .1456214
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull = .029{p_end}

{txt}       F(  1,   163) ={res}    2.49
{txt}{col 13}Prob > F ={res}    0.1163

{p 0 7}{space 1}{text:( 1)}{space 1} treatfull = -.029{p_end}

{txt}       F(  1,   163) ={res}    1.04
{txt}{col 13}Prob > F ={res}    0.3102

{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}       187
{txt}{col 49}F({res}   8{txt},{res}    163{txt}){col 67}= {res}      1.07
{txt}{col 49}Prob > F{col 67}= {res}    0.3833
{txt}{col 49}R-squared{col 67}= {res}    0.0942
{txt}{col 49}Adj R-squared{col 67}= {res}   -0.0336
{txt}{col 49}Root MSE{col 67}= {res}    0.7003

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}e_h_ctzpre~z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2} -.134271{col 26}{space 2} .1034163{col 37}{space 1}   -1.30{col 46}{space 3}0.196{col 54}{space 4}-.3384793{col 67}{space 3} .0699373
{txt}b_h_ctzpre~z {c |}{col 14}{res}{space 2} .0079571{col 26}{space 2} .0641321{col 37}{space 1}    0.12{col 46}{space 3}0.901{col 54}{space 4}-.1186797{col 67}{space 3} .1345939
{txt}c_tf~_hc_hc2 {c |}{col 14}{res}{space 2}-.0584948{col 26}{space 2} .1591786{col 37}{space 1}   -0.37{col 46}{space 3}0.714{col 54}{space 4}-.3728128{col 67}{space 3} .2558233
{txt}c_tfull_hc~l {c |}{col 14}{res}{space 2} .0323762{col 26}{space 2} .1552813{col 37}{space 1}    0.21{col 46}{space 3}0.835{col 54}{space 4}-.2742462{col 67}{space 3} .3389986
{txt}c_tfull_hc~s {c |}{col 14}{res}{space 2} .3169935{col 26}{space 2} .1844047{col 37}{space 1}    1.72{col 46}{space 3}0.088{col 54}{space 4}-.0471364{col 67}{space 3} .6811235
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2}-.3642223{col 26}{space 2} .5401904{col 37}{space 1}   -0.67{col 46}{space 3}0.501{col 54}{space 4}-1.430896{col 67}{space 3}  .702451
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2} .0153474{col 26}{space 2} .0701729{col 37}{space 1}    0.22{col 46}{space 3}0.827{col 54}{space 4}-.1232177{col 67}{space 3} .1539126
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2}-.1248174{col 26}{space 2}  .212503{col 37}{space 1}   -0.59{col 46}{space 3}0.558{col 54}{space 4} -.544431{col 67}{space 3} .2947962
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} .0132367{col 26}{space 2}  .067043{col 37}{space 1}    0.20{col 46}{space 3}0.844{col 54}{space 4} -.119148{col 67}{space 3} .1456214
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull = .03{p_end}

{txt}       F(  1,   163) ={res}    2.52
{txt}{col 13}Prob > F ={res}    0.1141

{p 0 7}{space 1}{text:( 1)}{space 1} treatfull = -.03{p_end}

{txt}       F(  1,   163) ={res}    1.02
{txt}{col 13}Prob > F ={res}    0.3148

{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}       187
{txt}{col 49}F({res}   8{txt},{res}    163{txt}){col 67}= {res}      1.07
{txt}{col 49}Prob > F{col 67}= {res}    0.3833
{txt}{col 49}R-squared{col 67}= {res}    0.0942
{txt}{col 49}Adj R-squared{col 67}= {res}   -0.0336
{txt}{col 49}Root MSE{col 67}= {res}    0.7003

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}e_h_ctzpre~z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2} -.134271{col 26}{space 2} .1034163{col 37}{space 1}   -1.30{col 46}{space 3}0.196{col 54}{space 4}-.3384793{col 67}{space 3} .0699373
{txt}b_h_ctzpre~z {c |}{col 14}{res}{space 2} .0079571{col 26}{space 2} .0641321{col 37}{space 1}    0.12{col 46}{space 3}0.901{col 54}{space 4}-.1186797{col 67}{space 3} .1345939
{txt}c_tf~_hc_hc2 {c |}{col 14}{res}{space 2}-.0584948{col 26}{space 2} .1591786{col 37}{space 1}   -0.37{col 46}{space 3}0.714{col 54}{space 4}-.3728128{col 67}{space 3} .2558233
{txt}c_tfull_hc~l {c |}{col 14}{res}{space 2} .0323762{col 26}{space 2} .1552813{col 37}{space 1}    0.21{col 46}{space 3}0.835{col 54}{space 4}-.2742462{col 67}{space 3} .3389986
{txt}c_tfull_hc~s {c |}{col 14}{res}{space 2} .3169935{col 26}{space 2} .1844047{col 37}{space 1}    1.72{col 46}{space 3}0.088{col 54}{space 4}-.0471364{col 67}{space 3} .6811235
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2}-.3642223{col 26}{space 2} .5401904{col 37}{space 1}   -0.67{col 46}{space 3}0.501{col 54}{space 4}-1.430896{col 67}{space 3}  .702451
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2} .0153474{col 26}{space 2} .0701729{col 37}{space 1}    0.22{col 46}{space 3}0.827{col 54}{space 4}-.1232177{col 67}{space 3} .1539126
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2}-.1248174{col 26}{space 2}  .212503{col 37}{space 1}   -0.59{col 46}{space 3}0.558{col 54}{space 4} -.544431{col 67}{space 3} .2947962
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} .0132367{col 26}{space 2}  .067043{col 37}{space 1}    0.20{col 46}{space 3}0.844{col 54}{space 4} -.119148{col 67}{space 3} .1456214
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull = .031{p_end}

{txt}       F(  1,   163) ={res}    2.55
{txt}{col 13}Prob > F ={res}    0.1120

{p 0 7}{space 1}{text:( 1)}{space 1} treatfull = -.031{p_end}

{txt}       F(  1,   163) ={res}    1.00
{txt}{col 13}Prob > F ={res}    0.3195

{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}       187
{txt}{col 49}F({res}   8{txt},{res}    163{txt}){col 67}= {res}      1.07
{txt}{col 49}Prob > F{col 67}= {res}    0.3833
{txt}{col 49}R-squared{col 67}= {res}    0.0942
{txt}{col 49}Adj R-squared{col 67}= {res}   -0.0336
{txt}{col 49}Root MSE{col 67}= {res}    0.7003

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}e_h_ctzpre~z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2} -.134271{col 26}{space 2} .1034163{col 37}{space 1}   -1.30{col 46}{space 3}0.196{col 54}{space 4}-.3384793{col 67}{space 3} .0699373
{txt}b_h_ctzpre~z {c |}{col 14}{res}{space 2} .0079571{col 26}{space 2} .0641321{col 37}{space 1}    0.12{col 46}{space 3}0.901{col 54}{space 4}-.1186797{col 67}{space 3} .1345939
{txt}c_tf~_hc_hc2 {c |}{col 14}{res}{space 2}-.0584948{col 26}{space 2} .1591786{col 37}{space 1}   -0.37{col 46}{space 3}0.714{col 54}{space 4}-.3728128{col 67}{space 3} .2558233
{txt}c_tfull_hc~l {c |}{col 14}{res}{space 2} .0323762{col 26}{space 2} .1552813{col 37}{space 1}    0.21{col 46}{space 3}0.835{col 54}{space 4}-.2742462{col 67}{space 3} .3389986
{txt}c_tfull_hc~s {c |}{col 14}{res}{space 2} .3169935{col 26}{space 2} .1844047{col 37}{space 1}    1.72{col 46}{space 3}0.088{col 54}{space 4}-.0471364{col 67}{space 3} .6811235
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2}-.3642223{col 26}{space 2} .5401904{col 37}{space 1}   -0.67{col 46}{space 3}0.501{col 54}{space 4}-1.430896{col 67}{space 3}  .702451
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2} .0153474{col 26}{space 2} .0701729{col 37}{space 1}    0.22{col 46}{space 3}0.827{col 54}{space 4}-.1232177{col 67}{space 3} .1539126
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2}-.1248174{col 26}{space 2}  .212503{col 37}{space 1}   -0.59{col 46}{space 3}0.558{col 54}{space 4} -.544431{col 67}{space 3} .2947962
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} .0132367{col 26}{space 2}  .067043{col 37}{space 1}    0.20{col 46}{space 3}0.844{col 54}{space 4} -.119148{col 67}{space 3} .1456214
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull = .032{p_end}

{txt}       F(  1,   163) ={res}    2.58
{txt}{col 13}Prob > F ={res}    0.1098

{p 0 7}{space 1}{text:( 1)}{space 1} treatfull = -.032{p_end}

{txt}       F(  1,   163) ={res}    0.98
{txt}{col 13}Prob > F ={res}    0.3242

{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}       187
{txt}{col 49}F({res}   8{txt},{res}    163{txt}){col 67}= {res}      1.07
{txt}{col 49}Prob > F{col 67}= {res}    0.3833
{txt}{col 49}R-squared{col 67}= {res}    0.0942
{txt}{col 49}Adj R-squared{col 67}= {res}   -0.0336
{txt}{col 49}Root MSE{col 67}= {res}    0.7003

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}e_h_ctzpre~z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2} -.134271{col 26}{space 2} .1034163{col 37}{space 1}   -1.30{col 46}{space 3}0.196{col 54}{space 4}-.3384793{col 67}{space 3} .0699373
{txt}b_h_ctzpre~z {c |}{col 14}{res}{space 2} .0079571{col 26}{space 2} .0641321{col 37}{space 1}    0.12{col 46}{space 3}0.901{col 54}{space 4}-.1186797{col 67}{space 3} .1345939
{txt}c_tf~_hc_hc2 {c |}{col 14}{res}{space 2}-.0584948{col 26}{space 2} .1591786{col 37}{space 1}   -0.37{col 46}{space 3}0.714{col 54}{space 4}-.3728128{col 67}{space 3} .2558233
{txt}c_tfull_hc~l {c |}{col 14}{res}{space 2} .0323762{col 26}{space 2} .1552813{col 37}{space 1}    0.21{col 46}{space 3}0.835{col 54}{space 4}-.2742462{col 67}{space 3} .3389986
{txt}c_tfull_hc~s {c |}{col 14}{res}{space 2} .3169935{col 26}{space 2} .1844047{col 37}{space 1}    1.72{col 46}{space 3}0.088{col 54}{space 4}-.0471364{col 67}{space 3} .6811235
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2}-.3642223{col 26}{space 2} .5401904{col 37}{space 1}   -0.67{col 46}{space 3}0.501{col 54}{space 4}-1.430896{col 67}{space 3}  .702451
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2} .0153474{col 26}{space 2} .0701729{col 37}{space 1}    0.22{col 46}{space 3}0.827{col 54}{space 4}-.1232177{col 67}{space 3} .1539126
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2}-.1248174{col 26}{space 2}  .212503{col 37}{space 1}   -0.59{col 46}{space 3}0.558{col 54}{space 4} -.544431{col 67}{space 3} .2947962
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} .0132367{col 26}{space 2}  .067043{col 37}{space 1}    0.20{col 46}{space 3}0.844{col 54}{space 4} -.119148{col 67}{space 3} .1456214
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull = .033{p_end}

{txt}       F(  1,   163) ={res}    2.62
{txt}{col 13}Prob > F ={res}    0.1077

{p 0 7}{space 1}{text:( 1)}{space 1} treatfull = -.033{p_end}

{txt}       F(  1,   163) ={res}    0.96
{txt}{col 13}Prob > F ={res}    0.3289

{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}       187
{txt}{col 49}F({res}   8{txt},{res}    163{txt}){col 67}= {res}      1.07
{txt}{col 49}Prob > F{col 67}= {res}    0.3833
{txt}{col 49}R-squared{col 67}= {res}    0.0942
{txt}{col 49}Adj R-squared{col 67}= {res}   -0.0336
{txt}{col 49}Root MSE{col 67}= {res}    0.7003

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}e_h_ctzpre~z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2} -.134271{col 26}{space 2} .1034163{col 37}{space 1}   -1.30{col 46}{space 3}0.196{col 54}{space 4}-.3384793{col 67}{space 3} .0699373
{txt}b_h_ctzpre~z {c |}{col 14}{res}{space 2} .0079571{col 26}{space 2} .0641321{col 37}{space 1}    0.12{col 46}{space 3}0.901{col 54}{space 4}-.1186797{col 67}{space 3} .1345939
{txt}c_tf~_hc_hc2 {c |}{col 14}{res}{space 2}-.0584948{col 26}{space 2} .1591786{col 37}{space 1}   -0.37{col 46}{space 3}0.714{col 54}{space 4}-.3728128{col 67}{space 3} .2558233
{txt}c_tfull_hc~l {c |}{col 14}{res}{space 2} .0323762{col 26}{space 2} .1552813{col 37}{space 1}    0.21{col 46}{space 3}0.835{col 54}{space 4}-.2742462{col 67}{space 3} .3389986
{txt}c_tfull_hc~s {c |}{col 14}{res}{space 2} .3169935{col 26}{space 2} .1844047{col 37}{space 1}    1.72{col 46}{space 3}0.088{col 54}{space 4}-.0471364{col 67}{space 3} .6811235
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2}-.3642223{col 26}{space 2} .5401904{col 37}{space 1}   -0.67{col 46}{space 3}0.501{col 54}{space 4}-1.430896{col 67}{space 3}  .702451
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2} .0153474{col 26}{space 2} .0701729{col 37}{space 1}    0.22{col 46}{space 3}0.827{col 54}{space 4}-.1232177{col 67}{space 3} .1539126
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2}-.1248174{col 26}{space 2}  .212503{col 37}{space 1}   -0.59{col 46}{space 3}0.558{col 54}{space 4} -.544431{col 67}{space 3} .2947962
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} .0132367{col 26}{space 2}  .067043{col 37}{space 1}    0.20{col 46}{space 3}0.844{col 54}{space 4} -.119148{col 67}{space 3} .1456214
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull = .034{p_end}

{txt}       F(  1,   163) ={res}    2.65
{txt}{col 13}Prob > F ={res}    0.1056

{p 0 7}{space 1}{text:( 1)}{space 1} treatfull = -.034{p_end}

{txt}       F(  1,   163) ={res}    0.94
{txt}{col 13}Prob > F ={res}    0.3337

{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}       187
{txt}{col 49}F({res}   8{txt},{res}    163{txt}){col 67}= {res}      1.07
{txt}{col 49}Prob > F{col 67}= {res}    0.3833
{txt}{col 49}R-squared{col 67}= {res}    0.0942
{txt}{col 49}Adj R-squared{col 67}= {res}   -0.0336
{txt}{col 49}Root MSE{col 67}= {res}    0.7003

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}e_h_ctzpre~z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2} -.134271{col 26}{space 2} .1034163{col 37}{space 1}   -1.30{col 46}{space 3}0.196{col 54}{space 4}-.3384793{col 67}{space 3} .0699373
{txt}b_h_ctzpre~z {c |}{col 14}{res}{space 2} .0079571{col 26}{space 2} .0641321{col 37}{space 1}    0.12{col 46}{space 3}0.901{col 54}{space 4}-.1186797{col 67}{space 3} .1345939
{txt}c_tf~_hc_hc2 {c |}{col 14}{res}{space 2}-.0584948{col 26}{space 2} .1591786{col 37}{space 1}   -0.37{col 46}{space 3}0.714{col 54}{space 4}-.3728128{col 67}{space 3} .2558233
{txt}c_tfull_hc~l {c |}{col 14}{res}{space 2} .0323762{col 26}{space 2} .1552813{col 37}{space 1}    0.21{col 46}{space 3}0.835{col 54}{space 4}-.2742462{col 67}{space 3} .3389986
{txt}c_tfull_hc~s {c |}{col 14}{res}{space 2} .3169935{col 26}{space 2} .1844047{col 37}{space 1}    1.72{col 46}{space 3}0.088{col 54}{space 4}-.0471364{col 67}{space 3} .6811235
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2}-.3642223{col 26}{space 2} .5401904{col 37}{space 1}   -0.67{col 46}{space 3}0.501{col 54}{space 4}-1.430896{col 67}{space 3}  .702451
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2} .0153474{col 26}{space 2} .0701729{col 37}{space 1}    0.22{col 46}{space 3}0.827{col 54}{space 4}-.1232177{col 67}{space 3} .1539126
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2}-.1248174{col 26}{space 2}  .212503{col 37}{space 1}   -0.59{col 46}{space 3}0.558{col 54}{space 4} -.544431{col 67}{space 3} .2947962
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} .0132367{col 26}{space 2}  .067043{col 37}{space 1}    0.20{col 46}{space 3}0.844{col 54}{space 4} -.119148{col 67}{space 3} .1456214
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull = .035{p_end}

{txt}       F(  1,   163) ={res}    2.68
{txt}{col 13}Prob > F ={res}    0.1036

{p 0 7}{space 1}{text:( 1)}{space 1} treatfull = -.035{p_end}

{txt}       F(  1,   163) ={res}    0.92
{txt}{col 13}Prob > F ={res}    0.3385

{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}       187
{txt}{col 49}F({res}   8{txt},{res}    163{txt}){col 67}= {res}      1.07
{txt}{col 49}Prob > F{col 67}= {res}    0.3833
{txt}{col 49}R-squared{col 67}= {res}    0.0942
{txt}{col 49}Adj R-squared{col 67}= {res}   -0.0336
{txt}{col 49}Root MSE{col 67}= {res}    0.7003

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}e_h_ctzpre~z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2} -.134271{col 26}{space 2} .1034163{col 37}{space 1}   -1.30{col 46}{space 3}0.196{col 54}{space 4}-.3384793{col 67}{space 3} .0699373
{txt}b_h_ctzpre~z {c |}{col 14}{res}{space 2} .0079571{col 26}{space 2} .0641321{col 37}{space 1}    0.12{col 46}{space 3}0.901{col 54}{space 4}-.1186797{col 67}{space 3} .1345939
{txt}c_tf~_hc_hc2 {c |}{col 14}{res}{space 2}-.0584948{col 26}{space 2} .1591786{col 37}{space 1}   -0.37{col 46}{space 3}0.714{col 54}{space 4}-.3728128{col 67}{space 3} .2558233
{txt}c_tfull_hc~l {c |}{col 14}{res}{space 2} .0323762{col 26}{space 2} .1552813{col 37}{space 1}    0.21{col 46}{space 3}0.835{col 54}{space 4}-.2742462{col 67}{space 3} .3389986
{txt}c_tfull_hc~s {c |}{col 14}{res}{space 2} .3169935{col 26}{space 2} .1844047{col 37}{space 1}    1.72{col 46}{space 3}0.088{col 54}{space 4}-.0471364{col 67}{space 3} .6811235
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2}-.3642223{col 26}{space 2} .5401904{col 37}{space 1}   -0.67{col 46}{space 3}0.501{col 54}{space 4}-1.430896{col 67}{space 3}  .702451
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2} .0153474{col 26}{space 2} .0701729{col 37}{space 1}    0.22{col 46}{space 3}0.827{col 54}{space 4}-.1232177{col 67}{space 3} .1539126
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2}-.1248174{col 26}{space 2}  .212503{col 37}{space 1}   -0.59{col 46}{space 3}0.558{col 54}{space 4} -.544431{col 67}{space 3} .2947962
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} .0132367{col 26}{space 2}  .067043{col 37}{space 1}    0.20{col 46}{space 3}0.844{col 54}{space 4} -.119148{col 67}{space 3} .1456214
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull = .036{p_end}

{txt}       F(  1,   163) ={res}    2.71
{txt}{col 13}Prob > F ={res}    0.1016

{p 0 7}{space 1}{text:( 1)}{space 1} treatfull = -.036{p_end}

{txt}       F(  1,   163) ={res}    0.90
{txt}{col 13}Prob > F ={res}    0.3434

{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}       187
{txt}{col 49}F({res}   8{txt},{res}    163{txt}){col 67}= {res}      1.07
{txt}{col 49}Prob > F{col 67}= {res}    0.3833
{txt}{col 49}R-squared{col 67}= {res}    0.0942
{txt}{col 49}Adj R-squared{col 67}= {res}   -0.0336
{txt}{col 49}Root MSE{col 67}= {res}    0.7003

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}e_h_ctzpre~z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2} -.134271{col 26}{space 2} .1034163{col 37}{space 1}   -1.30{col 46}{space 3}0.196{col 54}{space 4}-.3384793{col 67}{space 3} .0699373
{txt}b_h_ctzpre~z {c |}{col 14}{res}{space 2} .0079571{col 26}{space 2} .0641321{col 37}{space 1}    0.12{col 46}{space 3}0.901{col 54}{space 4}-.1186797{col 67}{space 3} .1345939
{txt}c_tf~_hc_hc2 {c |}{col 14}{res}{space 2}-.0584948{col 26}{space 2} .1591786{col 37}{space 1}   -0.37{col 46}{space 3}0.714{col 54}{space 4}-.3728128{col 67}{space 3} .2558233
{txt}c_tfull_hc~l {c |}{col 14}{res}{space 2} .0323762{col 26}{space 2} .1552813{col 37}{space 1}    0.21{col 46}{space 3}0.835{col 54}{space 4}-.2742462{col 67}{space 3} .3389986
{txt}c_tfull_hc~s {c |}{col 14}{res}{space 2} .3169935{col 26}{space 2} .1844047{col 37}{space 1}    1.72{col 46}{space 3}0.088{col 54}{space 4}-.0471364{col 67}{space 3} .6811235
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2}-.3642223{col 26}{space 2} .5401904{col 37}{space 1}   -0.67{col 46}{space 3}0.501{col 54}{space 4}-1.430896{col 67}{space 3}  .702451
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2} .0153474{col 26}{space 2} .0701729{col 37}{space 1}    0.22{col 46}{space 3}0.827{col 54}{space 4}-.1232177{col 67}{space 3} .1539126
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2}-.1248174{col 26}{space 2}  .212503{col 37}{space 1}   -0.59{col 46}{space 3}0.558{col 54}{space 4} -.544431{col 67}{space 3} .2947962
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} .0132367{col 26}{space 2}  .067043{col 37}{space 1}    0.20{col 46}{space 3}0.844{col 54}{space 4} -.119148{col 67}{space 3} .1456214
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull = .037{p_end}

{txt}       F(  1,   163) ={res}    2.74
{txt}{col 13}Prob > F ={res}    0.0996

{p 0 7}{space 1}{text:( 1)}{space 1} treatfull = -.037{p_end}

{txt}       F(  1,   163) ={res}    0.88
{txt}{col 13}Prob > F ={res}    0.3483

{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}       187
{txt}{col 49}F({res}   8{txt},{res}    163{txt}){col 67}= {res}      1.07
{txt}{col 49}Prob > F{col 67}= {res}    0.3833
{txt}{col 49}R-squared{col 67}= {res}    0.0942
{txt}{col 49}Adj R-squared{col 67}= {res}   -0.0336
{txt}{col 49}Root MSE{col 67}= {res}    0.7003

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}e_h_ctzpre~z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2} -.134271{col 26}{space 2} .1034163{col 37}{space 1}   -1.30{col 46}{space 3}0.196{col 54}{space 4}-.3384793{col 67}{space 3} .0699373
{txt}b_h_ctzpre~z {c |}{col 14}{res}{space 2} .0079571{col 26}{space 2} .0641321{col 37}{space 1}    0.12{col 46}{space 3}0.901{col 54}{space 4}-.1186797{col 67}{space 3} .1345939
{txt}c_tf~_hc_hc2 {c |}{col 14}{res}{space 2}-.0584948{col 26}{space 2} .1591786{col 37}{space 1}   -0.37{col 46}{space 3}0.714{col 54}{space 4}-.3728128{col 67}{space 3} .2558233
{txt}c_tfull_hc~l {c |}{col 14}{res}{space 2} .0323762{col 26}{space 2} .1552813{col 37}{space 1}    0.21{col 46}{space 3}0.835{col 54}{space 4}-.2742462{col 67}{space 3} .3389986
{txt}c_tfull_hc~s {c |}{col 14}{res}{space 2} .3169935{col 26}{space 2} .1844047{col 37}{space 1}    1.72{col 46}{space 3}0.088{col 54}{space 4}-.0471364{col 67}{space 3} .6811235
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2}-.3642223{col 26}{space 2} .5401904{col 37}{space 1}   -0.67{col 46}{space 3}0.501{col 54}{space 4}-1.430896{col 67}{space 3}  .702451
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2} .0153474{col 26}{space 2} .0701729{col 37}{space 1}    0.22{col 46}{space 3}0.827{col 54}{space 4}-.1232177{col 67}{space 3} .1539126
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2}-.1248174{col 26}{space 2}  .212503{col 37}{space 1}   -0.59{col 46}{space 3}0.558{col 54}{space 4} -.544431{col 67}{space 3} .2947962
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} .0132367{col 26}{space 2}  .067043{col 37}{space 1}    0.20{col 46}{space 3}0.844{col 54}{space 4} -.119148{col 67}{space 3} .1456214
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull = .038{p_end}

{txt}       F(  1,   163) ={res}    2.77
{txt}{col 13}Prob > F ={res}    0.0977

{p 0 7}{space 1}{text:( 1)}{space 1} treatfull = -.038{p_end}

{txt}       F(  1,   163) ={res}    0.87
{txt}{col 13}Prob > F ={res}    0.3533

{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}       187
{txt}{col 49}F({res}   8{txt},{res}    163{txt}){col 67}= {res}      1.07
{txt}{col 49}Prob > F{col 67}= {res}    0.3833
{txt}{col 49}R-squared{col 67}= {res}    0.0942
{txt}{col 49}Adj R-squared{col 67}= {res}   -0.0336
{txt}{col 49}Root MSE{col 67}= {res}    0.7003

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}e_h_ctzpre~z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2} -.134271{col 26}{space 2} .1034163{col 37}{space 1}   -1.30{col 46}{space 3}0.196{col 54}{space 4}-.3384793{col 67}{space 3} .0699373
{txt}b_h_ctzpre~z {c |}{col 14}{res}{space 2} .0079571{col 26}{space 2} .0641321{col 37}{space 1}    0.12{col 46}{space 3}0.901{col 54}{space 4}-.1186797{col 67}{space 3} .1345939
{txt}c_tf~_hc_hc2 {c |}{col 14}{res}{space 2}-.0584948{col 26}{space 2} .1591786{col 37}{space 1}   -0.37{col 46}{space 3}0.714{col 54}{space 4}-.3728128{col 67}{space 3} .2558233
{txt}c_tfull_hc~l {c |}{col 14}{res}{space 2} .0323762{col 26}{space 2} .1552813{col 37}{space 1}    0.21{col 46}{space 3}0.835{col 54}{space 4}-.2742462{col 67}{space 3} .3389986
{txt}c_tfull_hc~s {c |}{col 14}{res}{space 2} .3169935{col 26}{space 2} .1844047{col 37}{space 1}    1.72{col 46}{space 3}0.088{col 54}{space 4}-.0471364{col 67}{space 3} .6811235
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2}-.3642223{col 26}{space 2} .5401904{col 37}{space 1}   -0.67{col 46}{space 3}0.501{col 54}{space 4}-1.430896{col 67}{space 3}  .702451
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2} .0153474{col 26}{space 2} .0701729{col 37}{space 1}    0.22{col 46}{space 3}0.827{col 54}{space 4}-.1232177{col 67}{space 3} .1539126
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2}-.1248174{col 26}{space 2}  .212503{col 37}{space 1}   -0.59{col 46}{space 3}0.558{col 54}{space 4} -.544431{col 67}{space 3} .2947962
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} .0132367{col 26}{space 2}  .067043{col 37}{space 1}    0.20{col 46}{space 3}0.844{col 54}{space 4} -.119148{col 67}{space 3} .1456214
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull = .039{p_end}

{txt}       F(  1,   163) ={res}    2.81
{txt}{col 13}Prob > F ={res}    0.0958

{p 0 7}{space 1}{text:( 1)}{space 1} treatfull = -.039{p_end}

{txt}       F(  1,   163) ={res}    0.85
{txt}{col 13}Prob > F ={res}    0.3583

{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}       187
{txt}{col 49}F({res}   8{txt},{res}    163{txt}){col 67}= {res}      1.07
{txt}{col 49}Prob > F{col 67}= {res}    0.3833
{txt}{col 49}R-squared{col 67}= {res}    0.0942
{txt}{col 49}Adj R-squared{col 67}= {res}   -0.0336
{txt}{col 49}Root MSE{col 67}= {res}    0.7003

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}e_h_ctzpre~z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2} -.134271{col 26}{space 2} .1034163{col 37}{space 1}   -1.30{col 46}{space 3}0.196{col 54}{space 4}-.3384793{col 67}{space 3} .0699373
{txt}b_h_ctzpre~z {c |}{col 14}{res}{space 2} .0079571{col 26}{space 2} .0641321{col 37}{space 1}    0.12{col 46}{space 3}0.901{col 54}{space 4}-.1186797{col 67}{space 3} .1345939
{txt}c_tf~_hc_hc2 {c |}{col 14}{res}{space 2}-.0584948{col 26}{space 2} .1591786{col 37}{space 1}   -0.37{col 46}{space 3}0.714{col 54}{space 4}-.3728128{col 67}{space 3} .2558233
{txt}c_tfull_hc~l {c |}{col 14}{res}{space 2} .0323762{col 26}{space 2} .1552813{col 37}{space 1}    0.21{col 46}{space 3}0.835{col 54}{space 4}-.2742462{col 67}{space 3} .3389986
{txt}c_tfull_hc~s {c |}{col 14}{res}{space 2} .3169935{col 26}{space 2} .1844047{col 37}{space 1}    1.72{col 46}{space 3}0.088{col 54}{space 4}-.0471364{col 67}{space 3} .6811235
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2}-.3642223{col 26}{space 2} .5401904{col 37}{space 1}   -0.67{col 46}{space 3}0.501{col 54}{space 4}-1.430896{col 67}{space 3}  .702451
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2} .0153474{col 26}{space 2} .0701729{col 37}{space 1}    0.22{col 46}{space 3}0.827{col 54}{space 4}-.1232177{col 67}{space 3} .1539126
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2}-.1248174{col 26}{space 2}  .212503{col 37}{space 1}   -0.59{col 46}{space 3}0.558{col 54}{space 4} -.544431{col 67}{space 3} .2947962
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} .0132367{col 26}{space 2}  .067043{col 37}{space 1}    0.20{col 46}{space 3}0.844{col 54}{space 4} -.119148{col 67}{space 3} .1456214
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull = .04{p_end}

{txt}       F(  1,   163) ={res}    2.84
{txt}{col 13}Prob > F ={res}    0.0939

{p 0 7}{space 1}{text:( 1)}{space 1} treatfull = -.04{p_end}

{txt}       F(  1,   163) ={res}    0.83
{txt}{col 13}Prob > F ={res}    0.3633

{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}       187
{txt}{col 49}F({res}   8{txt},{res}    163{txt}){col 67}= {res}      1.07
{txt}{col 49}Prob > F{col 67}= {res}    0.3833
{txt}{col 49}R-squared{col 67}= {res}    0.0942
{txt}{col 49}Adj R-squared{col 67}= {res}   -0.0336
{txt}{col 49}Root MSE{col 67}= {res}    0.7003

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}e_h_ctzpre~z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2} -.134271{col 26}{space 2} .1034163{col 37}{space 1}   -1.30{col 46}{space 3}0.196{col 54}{space 4}-.3384793{col 67}{space 3} .0699373
{txt}b_h_ctzpre~z {c |}{col 14}{res}{space 2} .0079571{col 26}{space 2} .0641321{col 37}{space 1}    0.12{col 46}{space 3}0.901{col 54}{space 4}-.1186797{col 67}{space 3} .1345939
{txt}c_tf~_hc_hc2 {c |}{col 14}{res}{space 2}-.0584948{col 26}{space 2} .1591786{col 37}{space 1}   -0.37{col 46}{space 3}0.714{col 54}{space 4}-.3728128{col 67}{space 3} .2558233
{txt}c_tfull_hc~l {c |}{col 14}{res}{space 2} .0323762{col 26}{space 2} .1552813{col 37}{space 1}    0.21{col 46}{space 3}0.835{col 54}{space 4}-.2742462{col 67}{space 3} .3389986
{txt}c_tfull_hc~s {c |}{col 14}{res}{space 2} .3169935{col 26}{space 2} .1844047{col 37}{space 1}    1.72{col 46}{space 3}0.088{col 54}{space 4}-.0471364{col 67}{space 3} .6811235
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2}-.3642223{col 26}{space 2} .5401904{col 37}{space 1}   -0.67{col 46}{space 3}0.501{col 54}{space 4}-1.430896{col 67}{space 3}  .702451
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2} .0153474{col 26}{space 2} .0701729{col 37}{space 1}    0.22{col 46}{space 3}0.827{col 54}{space 4}-.1232177{col 67}{space 3} .1539126
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2}-.1248174{col 26}{space 2}  .212503{col 37}{space 1}   -0.59{col 46}{space 3}0.558{col 54}{space 4} -.544431{col 67}{space 3} .2947962
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} .0132367{col 26}{space 2}  .067043{col 37}{space 1}    0.20{col 46}{space 3}0.844{col 54}{space 4} -.119148{col 67}{space 3} .1456214
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull = .041{p_end}

{txt}       F(  1,   163) ={res}    2.87
{txt}{col 13}Prob > F ={res}    0.0920

{p 0 7}{space 1}{text:( 1)}{space 1} treatfull = -.041{p_end}

{txt}       F(  1,   163) ={res}    0.81
{txt}{col 13}Prob > F ={res}    0.3684

{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}       187
{txt}{col 49}F({res}   8{txt},{res}    163{txt}){col 67}= {res}      1.07
{txt}{col 49}Prob > F{col 67}= {res}    0.3833
{txt}{col 49}R-squared{col 67}= {res}    0.0942
{txt}{col 49}Adj R-squared{col 67}= {res}   -0.0336
{txt}{col 49}Root MSE{col 67}= {res}    0.7003

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}e_h_ctzpre~z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2} -.134271{col 26}{space 2} .1034163{col 37}{space 1}   -1.30{col 46}{space 3}0.196{col 54}{space 4}-.3384793{col 67}{space 3} .0699373
{txt}b_h_ctzpre~z {c |}{col 14}{res}{space 2} .0079571{col 26}{space 2} .0641321{col 37}{space 1}    0.12{col 46}{space 3}0.901{col 54}{space 4}-.1186797{col 67}{space 3} .1345939
{txt}c_tf~_hc_hc2 {c |}{col 14}{res}{space 2}-.0584948{col 26}{space 2} .1591786{col 37}{space 1}   -0.37{col 46}{space 3}0.714{col 54}{space 4}-.3728128{col 67}{space 3} .2558233
{txt}c_tfull_hc~l {c |}{col 14}{res}{space 2} .0323762{col 26}{space 2} .1552813{col 37}{space 1}    0.21{col 46}{space 3}0.835{col 54}{space 4}-.2742462{col 67}{space 3} .3389986
{txt}c_tfull_hc~s {c |}{col 14}{res}{space 2} .3169935{col 26}{space 2} .1844047{col 37}{space 1}    1.72{col 46}{space 3}0.088{col 54}{space 4}-.0471364{col 67}{space 3} .6811235
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2}-.3642223{col 26}{space 2} .5401904{col 37}{space 1}   -0.67{col 46}{space 3}0.501{col 54}{space 4}-1.430896{col 67}{space 3}  .702451
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2} .0153474{col 26}{space 2} .0701729{col 37}{space 1}    0.22{col 46}{space 3}0.827{col 54}{space 4}-.1232177{col 67}{space 3} .1539126
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2}-.1248174{col 26}{space 2}  .212503{col 37}{space 1}   -0.59{col 46}{space 3}0.558{col 54}{space 4} -.544431{col 67}{space 3} .2947962
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} .0132367{col 26}{space 2}  .067043{col 37}{space 1}    0.20{col 46}{space 3}0.844{col 54}{space 4} -.119148{col 67}{space 3} .1456214
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull = .042{p_end}

{txt}       F(  1,   163) ={res}    2.91
{txt}{col 13}Prob > F ={res}    0.0902

{p 0 7}{space 1}{text:( 1)}{space 1} treatfull = -.042{p_end}

{txt}       F(  1,   163) ={res}    0.80
{txt}{col 13}Prob > F ={res}    0.3736

{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}       187
{txt}{col 49}F({res}   8{txt},{res}    163{txt}){col 67}= {res}      1.07
{txt}{col 49}Prob > F{col 67}= {res}    0.3833
{txt}{col 49}R-squared{col 67}= {res}    0.0942
{txt}{col 49}Adj R-squared{col 67}= {res}   -0.0336
{txt}{col 49}Root MSE{col 67}= {res}    0.7003

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}e_h_ctzpre~z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2} -.134271{col 26}{space 2} .1034163{col 37}{space 1}   -1.30{col 46}{space 3}0.196{col 54}{space 4}-.3384793{col 67}{space 3} .0699373
{txt}b_h_ctzpre~z {c |}{col 14}{res}{space 2} .0079571{col 26}{space 2} .0641321{col 37}{space 1}    0.12{col 46}{space 3}0.901{col 54}{space 4}-.1186797{col 67}{space 3} .1345939
{txt}c_tf~_hc_hc2 {c |}{col 14}{res}{space 2}-.0584948{col 26}{space 2} .1591786{col 37}{space 1}   -0.37{col 46}{space 3}0.714{col 54}{space 4}-.3728128{col 67}{space 3} .2558233
{txt}c_tfull_hc~l {c |}{col 14}{res}{space 2} .0323762{col 26}{space 2} .1552813{col 37}{space 1}    0.21{col 46}{space 3}0.835{col 54}{space 4}-.2742462{col 67}{space 3} .3389986
{txt}c_tfull_hc~s {c |}{col 14}{res}{space 2} .3169935{col 26}{space 2} .1844047{col 37}{space 1}    1.72{col 46}{space 3}0.088{col 54}{space 4}-.0471364{col 67}{space 3} .6811235
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2}-.3642223{col 26}{space 2} .5401904{col 37}{space 1}   -0.67{col 46}{space 3}0.501{col 54}{space 4}-1.430896{col 67}{space 3}  .702451
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2} .0153474{col 26}{space 2} .0701729{col 37}{space 1}    0.22{col 46}{space 3}0.827{col 54}{space 4}-.1232177{col 67}{space 3} .1539126
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2}-.1248174{col 26}{space 2}  .212503{col 37}{space 1}   -0.59{col 46}{space 3}0.558{col 54}{space 4} -.544431{col 67}{space 3} .2947962
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} .0132367{col 26}{space 2}  .067043{col 37}{space 1}    0.20{col 46}{space 3}0.844{col 54}{space 4} -.119148{col 67}{space 3} .1456214
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull = .043{p_end}

{txt}       F(  1,   163) ={res}    2.94
{txt}{col 13}Prob > F ={res}    0.0884

{p 0 7}{space 1}{text:( 1)}{space 1} treatfull = -.043{p_end}

{txt}       F(  1,   163) ={res}    0.78
{txt}{col 13}Prob > F ={res}    0.3788

{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}       187
{txt}{col 49}F({res}   8{txt},{res}    163{txt}){col 67}= {res}      1.07
{txt}{col 49}Prob > F{col 67}= {res}    0.3833
{txt}{col 49}R-squared{col 67}= {res}    0.0942
{txt}{col 49}Adj R-squared{col 67}= {res}   -0.0336
{txt}{col 49}Root MSE{col 67}= {res}    0.7003

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}e_h_ctzpre~z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2} -.134271{col 26}{space 2} .1034163{col 37}{space 1}   -1.30{col 46}{space 3}0.196{col 54}{space 4}-.3384793{col 67}{space 3} .0699373
{txt}b_h_ctzpre~z {c |}{col 14}{res}{space 2} .0079571{col 26}{space 2} .0641321{col 37}{space 1}    0.12{col 46}{space 3}0.901{col 54}{space 4}-.1186797{col 67}{space 3} .1345939
{txt}c_tf~_hc_hc2 {c |}{col 14}{res}{space 2}-.0584948{col 26}{space 2} .1591786{col 37}{space 1}   -0.37{col 46}{space 3}0.714{col 54}{space 4}-.3728128{col 67}{space 3} .2558233
{txt}c_tfull_hc~l {c |}{col 14}{res}{space 2} .0323762{col 26}{space 2} .1552813{col 37}{space 1}    0.21{col 46}{space 3}0.835{col 54}{space 4}-.2742462{col 67}{space 3} .3389986
{txt}c_tfull_hc~s {c |}{col 14}{res}{space 2} .3169935{col 26}{space 2} .1844047{col 37}{space 1}    1.72{col 46}{space 3}0.088{col 54}{space 4}-.0471364{col 67}{space 3} .6811235
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2}-.3642223{col 26}{space 2} .5401904{col 37}{space 1}   -0.67{col 46}{space 3}0.501{col 54}{space 4}-1.430896{col 67}{space 3}  .702451
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2} .0153474{col 26}{space 2} .0701729{col 37}{space 1}    0.22{col 46}{space 3}0.827{col 54}{space 4}-.1232177{col 67}{space 3} .1539126
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2}-.1248174{col 26}{space 2}  .212503{col 37}{space 1}   -0.59{col 46}{space 3}0.558{col 54}{space 4} -.544431{col 67}{space 3} .2947962
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} .0132367{col 26}{space 2}  .067043{col 37}{space 1}    0.20{col 46}{space 3}0.844{col 54}{space 4} -.119148{col 67}{space 3} .1456214
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull = .044{p_end}

{txt}       F(  1,   163) ={res}    2.97
{txt}{col 13}Prob > F ={res}    0.0866

{p 0 7}{space 1}{text:( 1)}{space 1} treatfull = -.044{p_end}

{txt}       F(  1,   163) ={res}    0.76
{txt}{col 13}Prob > F ={res}    0.3840

{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}       187
{txt}{col 49}F({res}   8{txt},{res}    163{txt}){col 67}= {res}      1.07
{txt}{col 49}Prob > F{col 67}= {res}    0.3833
{txt}{col 49}R-squared{col 67}= {res}    0.0942
{txt}{col 49}Adj R-squared{col 67}= {res}   -0.0336
{txt}{col 49}Root MSE{col 67}= {res}    0.7003

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}e_h_ctzpre~z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2} -.134271{col 26}{space 2} .1034163{col 37}{space 1}   -1.30{col 46}{space 3}0.196{col 54}{space 4}-.3384793{col 67}{space 3} .0699373
{txt}b_h_ctzpre~z {c |}{col 14}{res}{space 2} .0079571{col 26}{space 2} .0641321{col 37}{space 1}    0.12{col 46}{space 3}0.901{col 54}{space 4}-.1186797{col 67}{space 3} .1345939
{txt}c_tf~_hc_hc2 {c |}{col 14}{res}{space 2}-.0584948{col 26}{space 2} .1591786{col 37}{space 1}   -0.37{col 46}{space 3}0.714{col 54}{space 4}-.3728128{col 67}{space 3} .2558233
{txt}c_tfull_hc~l {c |}{col 14}{res}{space 2} .0323762{col 26}{space 2} .1552813{col 37}{space 1}    0.21{col 46}{space 3}0.835{col 54}{space 4}-.2742462{col 67}{space 3} .3389986
{txt}c_tfull_hc~s {c |}{col 14}{res}{space 2} .3169935{col 26}{space 2} .1844047{col 37}{space 1}    1.72{col 46}{space 3}0.088{col 54}{space 4}-.0471364{col 67}{space 3} .6811235
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2}-.3642223{col 26}{space 2} .5401904{col 37}{space 1}   -0.67{col 46}{space 3}0.501{col 54}{space 4}-1.430896{col 67}{space 3}  .702451
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2} .0153474{col 26}{space 2} .0701729{col 37}{space 1}    0.22{col 46}{space 3}0.827{col 54}{space 4}-.1232177{col 67}{space 3} .1539126
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2}-.1248174{col 26}{space 2}  .212503{col 37}{space 1}   -0.59{col 46}{space 3}0.558{col 54}{space 4} -.544431{col 67}{space 3} .2947962
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} .0132367{col 26}{space 2}  .067043{col 37}{space 1}    0.20{col 46}{space 3}0.844{col 54}{space 4} -.119148{col 67}{space 3} .1456214
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull = .045{p_end}

{txt}       F(  1,   163) ={res}    3.00
{txt}{col 13}Prob > F ={res}    0.0849

{p 0 7}{space 1}{text:( 1)}{space 1} treatfull = -.045{p_end}

{txt}       F(  1,   163) ={res}    0.75
{txt}{col 13}Prob > F ={res}    0.3893

{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}       187
{txt}{col 49}F({res}   8{txt},{res}    163{txt}){col 67}= {res}      1.07
{txt}{col 49}Prob > F{col 67}= {res}    0.3833
{txt}{col 49}R-squared{col 67}= {res}    0.0942
{txt}{col 49}Adj R-squared{col 67}= {res}   -0.0336
{txt}{col 49}Root MSE{col 67}= {res}    0.7003

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}e_h_ctzpre~z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2} -.134271{col 26}{space 2} .1034163{col 37}{space 1}   -1.30{col 46}{space 3}0.196{col 54}{space 4}-.3384793{col 67}{space 3} .0699373
{txt}b_h_ctzpre~z {c |}{col 14}{res}{space 2} .0079571{col 26}{space 2} .0641321{col 37}{space 1}    0.12{col 46}{space 3}0.901{col 54}{space 4}-.1186797{col 67}{space 3} .1345939
{txt}c_tf~_hc_hc2 {c |}{col 14}{res}{space 2}-.0584948{col 26}{space 2} .1591786{col 37}{space 1}   -0.37{col 46}{space 3}0.714{col 54}{space 4}-.3728128{col 67}{space 3} .2558233
{txt}c_tfull_hc~l {c |}{col 14}{res}{space 2} .0323762{col 26}{space 2} .1552813{col 37}{space 1}    0.21{col 46}{space 3}0.835{col 54}{space 4}-.2742462{col 67}{space 3} .3389986
{txt}c_tfull_hc~s {c |}{col 14}{res}{space 2} .3169935{col 26}{space 2} .1844047{col 37}{space 1}    1.72{col 46}{space 3}0.088{col 54}{space 4}-.0471364{col 67}{space 3} .6811235
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2}-.3642223{col 26}{space 2} .5401904{col 37}{space 1}   -0.67{col 46}{space 3}0.501{col 54}{space 4}-1.430896{col 67}{space 3}  .702451
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2} .0153474{col 26}{space 2} .0701729{col 37}{space 1}    0.22{col 46}{space 3}0.827{col 54}{space 4}-.1232177{col 67}{space 3} .1539126
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2}-.1248174{col 26}{space 2}  .212503{col 37}{space 1}   -0.59{col 46}{space 3}0.558{col 54}{space 4} -.544431{col 67}{space 3} .2947962
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} .0132367{col 26}{space 2}  .067043{col 37}{space 1}    0.20{col 46}{space 3}0.844{col 54}{space 4} -.119148{col 67}{space 3} .1456214
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull = .046{p_end}

{txt}       F(  1,   163) ={res}    3.04
{txt}{col 13}Prob > F ={res}    0.0832

{p 0 7}{space 1}{text:( 1)}{space 1} treatfull = -.046{p_end}

{txt}       F(  1,   163) ={res}    0.73
{txt}{col 13}Prob > F ={res}    0.3946

{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}       187
{txt}{col 49}F({res}   8{txt},{res}    163{txt}){col 67}= {res}      1.07
{txt}{col 49}Prob > F{col 67}= {res}    0.3833
{txt}{col 49}R-squared{col 67}= {res}    0.0942
{txt}{col 49}Adj R-squared{col 67}= {res}   -0.0336
{txt}{col 49}Root MSE{col 67}= {res}    0.7003

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}e_h_ctzpre~z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2} -.134271{col 26}{space 2} .1034163{col 37}{space 1}   -1.30{col 46}{space 3}0.196{col 54}{space 4}-.3384793{col 67}{space 3} .0699373
{txt}b_h_ctzpre~z {c |}{col 14}{res}{space 2} .0079571{col 26}{space 2} .0641321{col 37}{space 1}    0.12{col 46}{space 3}0.901{col 54}{space 4}-.1186797{col 67}{space 3} .1345939
{txt}c_tf~_hc_hc2 {c |}{col 14}{res}{space 2}-.0584948{col 26}{space 2} .1591786{col 37}{space 1}   -0.37{col 46}{space 3}0.714{col 54}{space 4}-.3728128{col 67}{space 3} .2558233
{txt}c_tfull_hc~l {c |}{col 14}{res}{space 2} .0323762{col 26}{space 2} .1552813{col 37}{space 1}    0.21{col 46}{space 3}0.835{col 54}{space 4}-.2742462{col 67}{space 3} .3389986
{txt}c_tfull_hc~s {c |}{col 14}{res}{space 2} .3169935{col 26}{space 2} .1844047{col 37}{space 1}    1.72{col 46}{space 3}0.088{col 54}{space 4}-.0471364{col 67}{space 3} .6811235
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2}-.3642223{col 26}{space 2} .5401904{col 37}{space 1}   -0.67{col 46}{space 3}0.501{col 54}{space 4}-1.430896{col 67}{space 3}  .702451
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2} .0153474{col 26}{space 2} .0701729{col 37}{space 1}    0.22{col 46}{space 3}0.827{col 54}{space 4}-.1232177{col 67}{space 3} .1539126
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2}-.1248174{col 26}{space 2}  .212503{col 37}{space 1}   -0.59{col 46}{space 3}0.558{col 54}{space 4} -.544431{col 67}{space 3} .2947962
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} .0132367{col 26}{space 2}  .067043{col 37}{space 1}    0.20{col 46}{space 3}0.844{col 54}{space 4} -.119148{col 67}{space 3} .1456214
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull = .047{p_end}

{txt}       F(  1,   163) ={res}    3.07
{txt}{col 13}Prob > F ={res}    0.0815

{p 0 7}{space 1}{text:( 1)}{space 1} treatfull = -.047{p_end}

{txt}       F(  1,   163) ={res}    0.71
{txt}{col 13}Prob > F ={res}    0.4000

{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}       187
{txt}{col 49}F({res}   8{txt},{res}    163{txt}){col 67}= {res}      1.07
{txt}{col 49}Prob > F{col 67}= {res}    0.3833
{txt}{col 49}R-squared{col 67}= {res}    0.0942
{txt}{col 49}Adj R-squared{col 67}= {res}   -0.0336
{txt}{col 49}Root MSE{col 67}= {res}    0.7003

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}e_h_ctzpre~z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2} -.134271{col 26}{space 2} .1034163{col 37}{space 1}   -1.30{col 46}{space 3}0.196{col 54}{space 4}-.3384793{col 67}{space 3} .0699373
{txt}b_h_ctzpre~z {c |}{col 14}{res}{space 2} .0079571{col 26}{space 2} .0641321{col 37}{space 1}    0.12{col 46}{space 3}0.901{col 54}{space 4}-.1186797{col 67}{space 3} .1345939
{txt}c_tf~_hc_hc2 {c |}{col 14}{res}{space 2}-.0584948{col 26}{space 2} .1591786{col 37}{space 1}   -0.37{col 46}{space 3}0.714{col 54}{space 4}-.3728128{col 67}{space 3} .2558233
{txt}c_tfull_hc~l {c |}{col 14}{res}{space 2} .0323762{col 26}{space 2} .1552813{col 37}{space 1}    0.21{col 46}{space 3}0.835{col 54}{space 4}-.2742462{col 67}{space 3} .3389986
{txt}c_tfull_hc~s {c |}{col 14}{res}{space 2} .3169935{col 26}{space 2} .1844047{col 37}{space 1}    1.72{col 46}{space 3}0.088{col 54}{space 4}-.0471364{col 67}{space 3} .6811235
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2}-.3642223{col 26}{space 2} .5401904{col 37}{space 1}   -0.67{col 46}{space 3}0.501{col 54}{space 4}-1.430896{col 67}{space 3}  .702451
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2} .0153474{col 26}{space 2} .0701729{col 37}{space 1}    0.22{col 46}{space 3}0.827{col 54}{space 4}-.1232177{col 67}{space 3} .1539126
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2}-.1248174{col 26}{space 2}  .212503{col 37}{space 1}   -0.59{col 46}{space 3}0.558{col 54}{space 4} -.544431{col 67}{space 3} .2947962
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} .0132367{col 26}{space 2}  .067043{col 37}{space 1}    0.20{col 46}{space 3}0.844{col 54}{space 4} -.119148{col 67}{space 3} .1456214
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull = .048{p_end}

{txt}       F(  1,   163) ={res}    3.11
{txt}{col 13}Prob > F ={res}    0.0799

{p 0 7}{space 1}{text:( 1)}{space 1} treatfull = -.048{p_end}

{txt}       F(  1,   163) ={res}    0.70
{txt}{col 13}Prob > F ={res}    0.4054

{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}       187
{txt}{col 49}F({res}   8{txt},{res}    163{txt}){col 67}= {res}      1.07
{txt}{col 49}Prob > F{col 67}= {res}    0.3833
{txt}{col 49}R-squared{col 67}= {res}    0.0942
{txt}{col 49}Adj R-squared{col 67}= {res}   -0.0336
{txt}{col 49}Root MSE{col 67}= {res}    0.7003

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}e_h_ctzpre~z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2} -.134271{col 26}{space 2} .1034163{col 37}{space 1}   -1.30{col 46}{space 3}0.196{col 54}{space 4}-.3384793{col 67}{space 3} .0699373
{txt}b_h_ctzpre~z {c |}{col 14}{res}{space 2} .0079571{col 26}{space 2} .0641321{col 37}{space 1}    0.12{col 46}{space 3}0.901{col 54}{space 4}-.1186797{col 67}{space 3} .1345939
{txt}c_tf~_hc_hc2 {c |}{col 14}{res}{space 2}-.0584948{col 26}{space 2} .1591786{col 37}{space 1}   -0.37{col 46}{space 3}0.714{col 54}{space 4}-.3728128{col 67}{space 3} .2558233
{txt}c_tfull_hc~l {c |}{col 14}{res}{space 2} .0323762{col 26}{space 2} .1552813{col 37}{space 1}    0.21{col 46}{space 3}0.835{col 54}{space 4}-.2742462{col 67}{space 3} .3389986
{txt}c_tfull_hc~s {c |}{col 14}{res}{space 2} .3169935{col 26}{space 2} .1844047{col 37}{space 1}    1.72{col 46}{space 3}0.088{col 54}{space 4}-.0471364{col 67}{space 3} .6811235
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2}-.3642223{col 26}{space 2} .5401904{col 37}{space 1}   -0.67{col 46}{space 3}0.501{col 54}{space 4}-1.430896{col 67}{space 3}  .702451
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2} .0153474{col 26}{space 2} .0701729{col 37}{space 1}    0.22{col 46}{space 3}0.827{col 54}{space 4}-.1232177{col 67}{space 3} .1539126
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2}-.1248174{col 26}{space 2}  .212503{col 37}{space 1}   -0.59{col 46}{space 3}0.558{col 54}{space 4} -.544431{col 67}{space 3} .2947962
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} .0132367{col 26}{space 2}  .067043{col 37}{space 1}    0.20{col 46}{space 3}0.844{col 54}{space 4} -.119148{col 67}{space 3} .1456214
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull = .049{p_end}

{txt}       F(  1,   163) ={res}    3.14
{txt}{col 13}Prob > F ={res}    0.0782

{p 0 7}{space 1}{text:( 1)}{space 1} treatfull = -.049{p_end}

{txt}       F(  1,   163) ={res}    0.68
{txt}{col 13}Prob > F ={res}    0.4108

{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}       187
{txt}{col 49}F({res}   8{txt},{res}    163{txt}){col 67}= {res}      1.07
{txt}{col 49}Prob > F{col 67}= {res}    0.3833
{txt}{col 49}R-squared{col 67}= {res}    0.0942
{txt}{col 49}Adj R-squared{col 67}= {res}   -0.0336
{txt}{col 49}Root MSE{col 67}= {res}    0.7003

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}e_h_ctzpre~z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2} -.134271{col 26}{space 2} .1034163{col 37}{space 1}   -1.30{col 46}{space 3}0.196{col 54}{space 4}-.3384793{col 67}{space 3} .0699373
{txt}b_h_ctzpre~z {c |}{col 14}{res}{space 2} .0079571{col 26}{space 2} .0641321{col 37}{space 1}    0.12{col 46}{space 3}0.901{col 54}{space 4}-.1186797{col 67}{space 3} .1345939
{txt}c_tf~_hc_hc2 {c |}{col 14}{res}{space 2}-.0584948{col 26}{space 2} .1591786{col 37}{space 1}   -0.37{col 46}{space 3}0.714{col 54}{space 4}-.3728128{col 67}{space 3} .2558233
{txt}c_tfull_hc~l {c |}{col 14}{res}{space 2} .0323762{col 26}{space 2} .1552813{col 37}{space 1}    0.21{col 46}{space 3}0.835{col 54}{space 4}-.2742462{col 67}{space 3} .3389986
{txt}c_tfull_hc~s {c |}{col 14}{res}{space 2} .3169935{col 26}{space 2} .1844047{col 37}{space 1}    1.72{col 46}{space 3}0.088{col 54}{space 4}-.0471364{col 67}{space 3} .6811235
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2}-.3642223{col 26}{space 2} .5401904{col 37}{space 1}   -0.67{col 46}{space 3}0.501{col 54}{space 4}-1.430896{col 67}{space 3}  .702451
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2} .0153474{col 26}{space 2} .0701729{col 37}{space 1}    0.22{col 46}{space 3}0.827{col 54}{space 4}-.1232177{col 67}{space 3} .1539126
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2}-.1248174{col 26}{space 2}  .212503{col 37}{space 1}   -0.59{col 46}{space 3}0.558{col 54}{space 4} -.544431{col 67}{space 3} .2947962
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} .0132367{col 26}{space 2}  .067043{col 37}{space 1}    0.20{col 46}{space 3}0.844{col 54}{space 4} -.119148{col 67}{space 3} .1456214
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull = .05{p_end}

{txt}       F(  1,   163) ={res}    3.17
{txt}{col 13}Prob > F ={res}    0.0766

{p 0 7}{space 1}{text:( 1)}{space 1} treatfull = -.05{p_end}

{txt}       F(  1,   163) ={res}    0.66
{txt}{col 13}Prob > F ={res}    0.4163

{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}       187
{txt}{col 49}F({res}   8{txt},{res}    163{txt}){col 67}= {res}      1.07
{txt}{col 49}Prob > F{col 67}= {res}    0.3833
{txt}{col 49}R-squared{col 67}= {res}    0.0942
{txt}{col 49}Adj R-squared{col 67}= {res}   -0.0336
{txt}{col 49}Root MSE{col 67}= {res}    0.7003

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}e_h_ctzpre~z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2} -.134271{col 26}{space 2} .1034163{col 37}{space 1}   -1.30{col 46}{space 3}0.196{col 54}{space 4}-.3384793{col 67}{space 3} .0699373
{txt}b_h_ctzpre~z {c |}{col 14}{res}{space 2} .0079571{col 26}{space 2} .0641321{col 37}{space 1}    0.12{col 46}{space 3}0.901{col 54}{space 4}-.1186797{col 67}{space 3} .1345939
{txt}c_tf~_hc_hc2 {c |}{col 14}{res}{space 2}-.0584948{col 26}{space 2} .1591786{col 37}{space 1}   -0.37{col 46}{space 3}0.714{col 54}{space 4}-.3728128{col 67}{space 3} .2558233
{txt}c_tfull_hc~l {c |}{col 14}{res}{space 2} .0323762{col 26}{space 2} .1552813{col 37}{space 1}    0.21{col 46}{space 3}0.835{col 54}{space 4}-.2742462{col 67}{space 3} .3389986
{txt}c_tfull_hc~s {c |}{col 14}{res}{space 2} .3169935{col 26}{space 2} .1844047{col 37}{space 1}    1.72{col 46}{space 3}0.088{col 54}{space 4}-.0471364{col 67}{space 3} .6811235
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2}-.3642223{col 26}{space 2} .5401904{col 37}{space 1}   -0.67{col 46}{space 3}0.501{col 54}{space 4}-1.430896{col 67}{space 3}  .702451
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2} .0153474{col 26}{space 2} .0701729{col 37}{space 1}    0.22{col 46}{space 3}0.827{col 54}{space 4}-.1232177{col 67}{space 3} .1539126
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2}-.1248174{col 26}{space 2}  .212503{col 37}{space 1}   -0.59{col 46}{space 3}0.558{col 54}{space 4} -.544431{col 67}{space 3} .2947962
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} .0132367{col 26}{space 2}  .067043{col 37}{space 1}    0.20{col 46}{space 3}0.844{col 54}{space 4} -.119148{col 67}{space 3} .1456214
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull = .051{p_end}

{txt}       F(  1,   163) ={res}    3.21
{txt}{col 13}Prob > F ={res}    0.0751

{p 0 7}{space 1}{text:( 1)}{space 1} treatfull = -.051{p_end}

{txt}       F(  1,   163) ={res}    0.65
{txt}{col 13}Prob > F ={res}    0.4219

{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}       187
{txt}{col 49}F({res}   8{txt},{res}    163{txt}){col 67}= {res}      1.07
{txt}{col 49}Prob > F{col 67}= {res}    0.3833
{txt}{col 49}R-squared{col 67}= {res}    0.0942
{txt}{col 49}Adj R-squared{col 67}= {res}   -0.0336
{txt}{col 49}Root MSE{col 67}= {res}    0.7003

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}e_h_ctzpre~z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2} -.134271{col 26}{space 2} .1034163{col 37}{space 1}   -1.30{col 46}{space 3}0.196{col 54}{space 4}-.3384793{col 67}{space 3} .0699373
{txt}b_h_ctzpre~z {c |}{col 14}{res}{space 2} .0079571{col 26}{space 2} .0641321{col 37}{space 1}    0.12{col 46}{space 3}0.901{col 54}{space 4}-.1186797{col 67}{space 3} .1345939
{txt}c_tf~_hc_hc2 {c |}{col 14}{res}{space 2}-.0584948{col 26}{space 2} .1591786{col 37}{space 1}   -0.37{col 46}{space 3}0.714{col 54}{space 4}-.3728128{col 67}{space 3} .2558233
{txt}c_tfull_hc~l {c |}{col 14}{res}{space 2} .0323762{col 26}{space 2} .1552813{col 37}{space 1}    0.21{col 46}{space 3}0.835{col 54}{space 4}-.2742462{col 67}{space 3} .3389986
{txt}c_tfull_hc~s {c |}{col 14}{res}{space 2} .3169935{col 26}{space 2} .1844047{col 37}{space 1}    1.72{col 46}{space 3}0.088{col 54}{space 4}-.0471364{col 67}{space 3} .6811235
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2}-.3642223{col 26}{space 2} .5401904{col 37}{space 1}   -0.67{col 46}{space 3}0.501{col 54}{space 4}-1.430896{col 67}{space 3}  .702451
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2} .0153474{col 26}{space 2} .0701729{col 37}{space 1}    0.22{col 46}{space 3}0.827{col 54}{space 4}-.1232177{col 67}{space 3} .1539126
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2}-.1248174{col 26}{space 2}  .212503{col 37}{space 1}   -0.59{col 46}{space 3}0.558{col 54}{space 4} -.544431{col 67}{space 3} .2947962
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} .0132367{col 26}{space 2}  .067043{col 37}{space 1}    0.20{col 46}{space 3}0.844{col 54}{space 4} -.119148{col 67}{space 3} .1456214
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull = .052{p_end}

{txt}       F(  1,   163) ={res}    3.24
{txt}{col 13}Prob > F ={res}    0.0735

{p 0 7}{space 1}{text:( 1)}{space 1} treatfull = -.052{p_end}

{txt}       F(  1,   163) ={res}    0.63
{txt}{col 13}Prob > F ={res}    0.4275

{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}       187
{txt}{col 49}F({res}   8{txt},{res}    163{txt}){col 67}= {res}      1.07
{txt}{col 49}Prob > F{col 67}= {res}    0.3833
{txt}{col 49}R-squared{col 67}= {res}    0.0942
{txt}{col 49}Adj R-squared{col 67}= {res}   -0.0336
{txt}{col 49}Root MSE{col 67}= {res}    0.7003

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}e_h_ctzpre~z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2} -.134271{col 26}{space 2} .1034163{col 37}{space 1}   -1.30{col 46}{space 3}0.196{col 54}{space 4}-.3384793{col 67}{space 3} .0699373
{txt}b_h_ctzpre~z {c |}{col 14}{res}{space 2} .0079571{col 26}{space 2} .0641321{col 37}{space 1}    0.12{col 46}{space 3}0.901{col 54}{space 4}-.1186797{col 67}{space 3} .1345939
{txt}c_tf~_hc_hc2 {c |}{col 14}{res}{space 2}-.0584948{col 26}{space 2} .1591786{col 37}{space 1}   -0.37{col 46}{space 3}0.714{col 54}{space 4}-.3728128{col 67}{space 3} .2558233
{txt}c_tfull_hc~l {c |}{col 14}{res}{space 2} .0323762{col 26}{space 2} .1552813{col 37}{space 1}    0.21{col 46}{space 3}0.835{col 54}{space 4}-.2742462{col 67}{space 3} .3389986
{txt}c_tfull_hc~s {c |}{col 14}{res}{space 2} .3169935{col 26}{space 2} .1844047{col 37}{space 1}    1.72{col 46}{space 3}0.088{col 54}{space 4}-.0471364{col 67}{space 3} .6811235
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2}-.3642223{col 26}{space 2} .5401904{col 37}{space 1}   -0.67{col 46}{space 3}0.501{col 54}{space 4}-1.430896{col 67}{space 3}  .702451
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2} .0153474{col 26}{space 2} .0701729{col 37}{space 1}    0.22{col 46}{space 3}0.827{col 54}{space 4}-.1232177{col 67}{space 3} .1539126
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2}-.1248174{col 26}{space 2}  .212503{col 37}{space 1}   -0.59{col 46}{space 3}0.558{col 54}{space 4} -.544431{col 67}{space 3} .2947962
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} .0132367{col 26}{space 2}  .067043{col 37}{space 1}    0.20{col 46}{space 3}0.844{col 54}{space 4} -.119148{col 67}{space 3} .1456214
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull = .053{p_end}

{txt}       F(  1,   163) ={res}    3.28
{txt}{col 13}Prob > F ={res}    0.0720

{p 0 7}{space 1}{text:( 1)}{space 1} treatfull = -.053{p_end}

{txt}       F(  1,   163) ={res}    0.62
{txt}{col 13}Prob > F ={res}    0.4331

{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}       187
{txt}{col 49}F({res}   8{txt},{res}    163{txt}){col 67}= {res}      1.07
{txt}{col 49}Prob > F{col 67}= {res}    0.3833
{txt}{col 49}R-squared{col 67}= {res}    0.0942
{txt}{col 49}Adj R-squared{col 67}= {res}   -0.0336
{txt}{col 49}Root MSE{col 67}= {res}    0.7003

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}e_h_ctzpre~z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2} -.134271{col 26}{space 2} .1034163{col 37}{space 1}   -1.30{col 46}{space 3}0.196{col 54}{space 4}-.3384793{col 67}{space 3} .0699373
{txt}b_h_ctzpre~z {c |}{col 14}{res}{space 2} .0079571{col 26}{space 2} .0641321{col 37}{space 1}    0.12{col 46}{space 3}0.901{col 54}{space 4}-.1186797{col 67}{space 3} .1345939
{txt}c_tf~_hc_hc2 {c |}{col 14}{res}{space 2}-.0584948{col 26}{space 2} .1591786{col 37}{space 1}   -0.37{col 46}{space 3}0.714{col 54}{space 4}-.3728128{col 67}{space 3} .2558233
{txt}c_tfull_hc~l {c |}{col 14}{res}{space 2} .0323762{col 26}{space 2} .1552813{col 37}{space 1}    0.21{col 46}{space 3}0.835{col 54}{space 4}-.2742462{col 67}{space 3} .3389986
{txt}c_tfull_hc~s {c |}{col 14}{res}{space 2} .3169935{col 26}{space 2} .1844047{col 37}{space 1}    1.72{col 46}{space 3}0.088{col 54}{space 4}-.0471364{col 67}{space 3} .6811235
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2}-.3642223{col 26}{space 2} .5401904{col 37}{space 1}   -0.67{col 46}{space 3}0.501{col 54}{space 4}-1.430896{col 67}{space 3}  .702451
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2} .0153474{col 26}{space 2} .0701729{col 37}{space 1}    0.22{col 46}{space 3}0.827{col 54}{space 4}-.1232177{col 67}{space 3} .1539126
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2}-.1248174{col 26}{space 2}  .212503{col 37}{space 1}   -0.59{col 46}{space 3}0.558{col 54}{space 4} -.544431{col 67}{space 3} .2947962
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} .0132367{col 26}{space 2}  .067043{col 37}{space 1}    0.20{col 46}{space 3}0.844{col 54}{space 4} -.119148{col 67}{space 3} .1456214
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull = .054{p_end}

{txt}       F(  1,   163) ={res}    3.31
{txt}{col 13}Prob > F ={res}    0.0705

{p 0 7}{space 1}{text:( 1)}{space 1} treatfull = -.054{p_end}

{txt}       F(  1,   163) ={res}    0.60
{txt}{col 13}Prob > F ={res}    0.4388

{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}       187
{txt}{col 49}F({res}   8{txt},{res}    163{txt}){col 67}= {res}      1.07
{txt}{col 49}Prob > F{col 67}= {res}    0.3833
{txt}{col 49}R-squared{col 67}= {res}    0.0942
{txt}{col 49}Adj R-squared{col 67}= {res}   -0.0336
{txt}{col 49}Root MSE{col 67}= {res}    0.7003

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}e_h_ctzpre~z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2} -.134271{col 26}{space 2} .1034163{col 37}{space 1}   -1.30{col 46}{space 3}0.196{col 54}{space 4}-.3384793{col 67}{space 3} .0699373
{txt}b_h_ctzpre~z {c |}{col 14}{res}{space 2} .0079571{col 26}{space 2} .0641321{col 37}{space 1}    0.12{col 46}{space 3}0.901{col 54}{space 4}-.1186797{col 67}{space 3} .1345939
{txt}c_tf~_hc_hc2 {c |}{col 14}{res}{space 2}-.0584948{col 26}{space 2} .1591786{col 37}{space 1}   -0.37{col 46}{space 3}0.714{col 54}{space 4}-.3728128{col 67}{space 3} .2558233
{txt}c_tfull_hc~l {c |}{col 14}{res}{space 2} .0323762{col 26}{space 2} .1552813{col 37}{space 1}    0.21{col 46}{space 3}0.835{col 54}{space 4}-.2742462{col 67}{space 3} .3389986
{txt}c_tfull_hc~s {c |}{col 14}{res}{space 2} .3169935{col 26}{space 2} .1844047{col 37}{space 1}    1.72{col 46}{space 3}0.088{col 54}{space 4}-.0471364{col 67}{space 3} .6811235
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2}-.3642223{col 26}{space 2} .5401904{col 37}{space 1}   -0.67{col 46}{space 3}0.501{col 54}{space 4}-1.430896{col 67}{space 3}  .702451
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2} .0153474{col 26}{space 2} .0701729{col 37}{space 1}    0.22{col 46}{space 3}0.827{col 54}{space 4}-.1232177{col 67}{space 3} .1539126
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2}-.1248174{col 26}{space 2}  .212503{col 37}{space 1}   -0.59{col 46}{space 3}0.558{col 54}{space 4} -.544431{col 67}{space 3} .2947962
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} .0132367{col 26}{space 2}  .067043{col 37}{space 1}    0.20{col 46}{space 3}0.844{col 54}{space 4} -.119148{col 67}{space 3} .1456214
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull = .055{p_end}

{txt}       F(  1,   163) ={res}    3.35
{txt}{col 13}Prob > F ={res}    0.0690

{p 0 7}{space 1}{text:( 1)}{space 1} treatfull = -.055{p_end}

{txt}       F(  1,   163) ={res}    0.59
{txt}{col 13}Prob > F ={res}    0.4445

{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}       187
{txt}{col 49}F({res}   8{txt},{res}    163{txt}){col 67}= {res}      1.07
{txt}{col 49}Prob > F{col 67}= {res}    0.3833
{txt}{col 49}R-squared{col 67}= {res}    0.0942
{txt}{col 49}Adj R-squared{col 67}= {res}   -0.0336
{txt}{col 49}Root MSE{col 67}= {res}    0.7003

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}e_h_ctzpre~z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2} -.134271{col 26}{space 2} .1034163{col 37}{space 1}   -1.30{col 46}{space 3}0.196{col 54}{space 4}-.3384793{col 67}{space 3} .0699373
{txt}b_h_ctzpre~z {c |}{col 14}{res}{space 2} .0079571{col 26}{space 2} .0641321{col 37}{space 1}    0.12{col 46}{space 3}0.901{col 54}{space 4}-.1186797{col 67}{space 3} .1345939
{txt}c_tf~_hc_hc2 {c |}{col 14}{res}{space 2}-.0584948{col 26}{space 2} .1591786{col 37}{space 1}   -0.37{col 46}{space 3}0.714{col 54}{space 4}-.3728128{col 67}{space 3} .2558233
{txt}c_tfull_hc~l {c |}{col 14}{res}{space 2} .0323762{col 26}{space 2} .1552813{col 37}{space 1}    0.21{col 46}{space 3}0.835{col 54}{space 4}-.2742462{col 67}{space 3} .3389986
{txt}c_tfull_hc~s {c |}{col 14}{res}{space 2} .3169935{col 26}{space 2} .1844047{col 37}{space 1}    1.72{col 46}{space 3}0.088{col 54}{space 4}-.0471364{col 67}{space 3} .6811235
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2}-.3642223{col 26}{space 2} .5401904{col 37}{space 1}   -0.67{col 46}{space 3}0.501{col 54}{space 4}-1.430896{col 67}{space 3}  .702451
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2} .0153474{col 26}{space 2} .0701729{col 37}{space 1}    0.22{col 46}{space 3}0.827{col 54}{space 4}-.1232177{col 67}{space 3} .1539126
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2}-.1248174{col 26}{space 2}  .212503{col 37}{space 1}   -0.59{col 46}{space 3}0.558{col 54}{space 4} -.544431{col 67}{space 3} .2947962
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} .0132367{col 26}{space 2}  .067043{col 37}{space 1}    0.20{col 46}{space 3}0.844{col 54}{space 4} -.119148{col 67}{space 3} .1456214
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull = .056{p_end}

{txt}       F(  1,   163) ={res}    3.39
{txt}{col 13}Prob > F ={res}    0.0676

{p 0 7}{space 1}{text:( 1)}{space 1} treatfull = -.056{p_end}

{txt}       F(  1,   163) ={res}    0.57
{txt}{col 13}Prob > F ={res}    0.4502

{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}       187
{txt}{col 49}F({res}   8{txt},{res}    163{txt}){col 67}= {res}      1.07
{txt}{col 49}Prob > F{col 67}= {res}    0.3833
{txt}{col 49}R-squared{col 67}= {res}    0.0942
{txt}{col 49}Adj R-squared{col 67}= {res}   -0.0336
{txt}{col 49}Root MSE{col 67}= {res}    0.7003

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}e_h_ctzpre~z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2} -.134271{col 26}{space 2} .1034163{col 37}{space 1}   -1.30{col 46}{space 3}0.196{col 54}{space 4}-.3384793{col 67}{space 3} .0699373
{txt}b_h_ctzpre~z {c |}{col 14}{res}{space 2} .0079571{col 26}{space 2} .0641321{col 37}{space 1}    0.12{col 46}{space 3}0.901{col 54}{space 4}-.1186797{col 67}{space 3} .1345939
{txt}c_tf~_hc_hc2 {c |}{col 14}{res}{space 2}-.0584948{col 26}{space 2} .1591786{col 37}{space 1}   -0.37{col 46}{space 3}0.714{col 54}{space 4}-.3728128{col 67}{space 3} .2558233
{txt}c_tfull_hc~l {c |}{col 14}{res}{space 2} .0323762{col 26}{space 2} .1552813{col 37}{space 1}    0.21{col 46}{space 3}0.835{col 54}{space 4}-.2742462{col 67}{space 3} .3389986
{txt}c_tfull_hc~s {c |}{col 14}{res}{space 2} .3169935{col 26}{space 2} .1844047{col 37}{space 1}    1.72{col 46}{space 3}0.088{col 54}{space 4}-.0471364{col 67}{space 3} .6811235
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2}-.3642223{col 26}{space 2} .5401904{col 37}{space 1}   -0.67{col 46}{space 3}0.501{col 54}{space 4}-1.430896{col 67}{space 3}  .702451
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2} .0153474{col 26}{space 2} .0701729{col 37}{space 1}    0.22{col 46}{space 3}0.827{col 54}{space 4}-.1232177{col 67}{space 3} .1539126
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2}-.1248174{col 26}{space 2}  .212503{col 37}{space 1}   -0.59{col 46}{space 3}0.558{col 54}{space 4} -.544431{col 67}{space 3} .2947962
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} .0132367{col 26}{space 2}  .067043{col 37}{space 1}    0.20{col 46}{space 3}0.844{col 54}{space 4} -.119148{col 67}{space 3} .1456214
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull = .057{p_end}

{txt}       F(  1,   163) ={res}    3.42
{txt}{col 13}Prob > F ={res}    0.0662

{p 0 7}{space 1}{text:( 1)}{space 1} treatfull = -.057{p_end}

{txt}       F(  1,   163) ={res}    0.56
{txt}{col 13}Prob > F ={res}    0.4560

{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}       187
{txt}{col 49}F({res}   8{txt},{res}    163{txt}){col 67}= {res}      1.07
{txt}{col 49}Prob > F{col 67}= {res}    0.3833
{txt}{col 49}R-squared{col 67}= {res}    0.0942
{txt}{col 49}Adj R-squared{col 67}= {res}   -0.0336
{txt}{col 49}Root MSE{col 67}= {res}    0.7003

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}e_h_ctzpre~z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2} -.134271{col 26}{space 2} .1034163{col 37}{space 1}   -1.30{col 46}{space 3}0.196{col 54}{space 4}-.3384793{col 67}{space 3} .0699373
{txt}b_h_ctzpre~z {c |}{col 14}{res}{space 2} .0079571{col 26}{space 2} .0641321{col 37}{space 1}    0.12{col 46}{space 3}0.901{col 54}{space 4}-.1186797{col 67}{space 3} .1345939
{txt}c_tf~_hc_hc2 {c |}{col 14}{res}{space 2}-.0584948{col 26}{space 2} .1591786{col 37}{space 1}   -0.37{col 46}{space 3}0.714{col 54}{space 4}-.3728128{col 67}{space 3} .2558233
{txt}c_tfull_hc~l {c |}{col 14}{res}{space 2} .0323762{col 26}{space 2} .1552813{col 37}{space 1}    0.21{col 46}{space 3}0.835{col 54}{space 4}-.2742462{col 67}{space 3} .3389986
{txt}c_tfull_hc~s {c |}{col 14}{res}{space 2} .3169935{col 26}{space 2} .1844047{col 37}{space 1}    1.72{col 46}{space 3}0.088{col 54}{space 4}-.0471364{col 67}{space 3} .6811235
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2}-.3642223{col 26}{space 2} .5401904{col 37}{space 1}   -0.67{col 46}{space 3}0.501{col 54}{space 4}-1.430896{col 67}{space 3}  .702451
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2} .0153474{col 26}{space 2} .0701729{col 37}{space 1}    0.22{col 46}{space 3}0.827{col 54}{space 4}-.1232177{col 67}{space 3} .1539126
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2}-.1248174{col 26}{space 2}  .212503{col 37}{space 1}   -0.59{col 46}{space 3}0.558{col 54}{space 4} -.544431{col 67}{space 3} .2947962
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} .0132367{col 26}{space 2}  .067043{col 37}{space 1}    0.20{col 46}{space 3}0.844{col 54}{space 4} -.119148{col 67}{space 3} .1456214
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull = .058{p_end}

{txt}       F(  1,   163) ={res}    3.46
{txt}{col 13}Prob > F ={res}    0.0648

{p 0 7}{space 1}{text:( 1)}{space 1} treatfull = -.058{p_end}

{txt}       F(  1,   163) ={res}    0.54
{txt}{col 13}Prob > F ={res}    0.4619

{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}       187
{txt}{col 49}F({res}   8{txt},{res}    163{txt}){col 67}= {res}      1.07
{txt}{col 49}Prob > F{col 67}= {res}    0.3833
{txt}{col 49}R-squared{col 67}= {res}    0.0942
{txt}{col 49}Adj R-squared{col 67}= {res}   -0.0336
{txt}{col 49}Root MSE{col 67}= {res}    0.7003

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}e_h_ctzpre~z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2} -.134271{col 26}{space 2} .1034163{col 37}{space 1}   -1.30{col 46}{space 3}0.196{col 54}{space 4}-.3384793{col 67}{space 3} .0699373
{txt}b_h_ctzpre~z {c |}{col 14}{res}{space 2} .0079571{col 26}{space 2} .0641321{col 37}{space 1}    0.12{col 46}{space 3}0.901{col 54}{space 4}-.1186797{col 67}{space 3} .1345939
{txt}c_tf~_hc_hc2 {c |}{col 14}{res}{space 2}-.0584948{col 26}{space 2} .1591786{col 37}{space 1}   -0.37{col 46}{space 3}0.714{col 54}{space 4}-.3728128{col 67}{space 3} .2558233
{txt}c_tfull_hc~l {c |}{col 14}{res}{space 2} .0323762{col 26}{space 2} .1552813{col 37}{space 1}    0.21{col 46}{space 3}0.835{col 54}{space 4}-.2742462{col 67}{space 3} .3389986
{txt}c_tfull_hc~s {c |}{col 14}{res}{space 2} .3169935{col 26}{space 2} .1844047{col 37}{space 1}    1.72{col 46}{space 3}0.088{col 54}{space 4}-.0471364{col 67}{space 3} .6811235
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2}-.3642223{col 26}{space 2} .5401904{col 37}{space 1}   -0.67{col 46}{space 3}0.501{col 54}{space 4}-1.430896{col 67}{space 3}  .702451
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2} .0153474{col 26}{space 2} .0701729{col 37}{space 1}    0.22{col 46}{space 3}0.827{col 54}{space 4}-.1232177{col 67}{space 3} .1539126
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2}-.1248174{col 26}{space 2}  .212503{col 37}{space 1}   -0.59{col 46}{space 3}0.558{col 54}{space 4} -.544431{col 67}{space 3} .2947962
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} .0132367{col 26}{space 2}  .067043{col 37}{space 1}    0.20{col 46}{space 3}0.844{col 54}{space 4} -.119148{col 67}{space 3} .1456214
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull = .059{p_end}

{txt}       F(  1,   163) ={res}    3.49
{txt}{col 13}Prob > F ={res}    0.0634

{p 0 7}{space 1}{text:( 1)}{space 1} treatfull = -.059{p_end}

{txt}       F(  1,   163) ={res}    0.53
{txt}{col 13}Prob > F ={res}    0.4678

{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}       187
{txt}{col 49}F({res}   8{txt},{res}    163{txt}){col 67}= {res}      1.07
{txt}{col 49}Prob > F{col 67}= {res}    0.3833
{txt}{col 49}R-squared{col 67}= {res}    0.0942
{txt}{col 49}Adj R-squared{col 67}= {res}   -0.0336
{txt}{col 49}Root MSE{col 67}= {res}    0.7003

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}e_h_ctzpre~z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2} -.134271{col 26}{space 2} .1034163{col 37}{space 1}   -1.30{col 46}{space 3}0.196{col 54}{space 4}-.3384793{col 67}{space 3} .0699373
{txt}b_h_ctzpre~z {c |}{col 14}{res}{space 2} .0079571{col 26}{space 2} .0641321{col 37}{space 1}    0.12{col 46}{space 3}0.901{col 54}{space 4}-.1186797{col 67}{space 3} .1345939
{txt}c_tf~_hc_hc2 {c |}{col 14}{res}{space 2}-.0584948{col 26}{space 2} .1591786{col 37}{space 1}   -0.37{col 46}{space 3}0.714{col 54}{space 4}-.3728128{col 67}{space 3} .2558233
{txt}c_tfull_hc~l {c |}{col 14}{res}{space 2} .0323762{col 26}{space 2} .1552813{col 37}{space 1}    0.21{col 46}{space 3}0.835{col 54}{space 4}-.2742462{col 67}{space 3} .3389986
{txt}c_tfull_hc~s {c |}{col 14}{res}{space 2} .3169935{col 26}{space 2} .1844047{col 37}{space 1}    1.72{col 46}{space 3}0.088{col 54}{space 4}-.0471364{col 67}{space 3} .6811235
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2}-.3642223{col 26}{space 2} .5401904{col 37}{space 1}   -0.67{col 46}{space 3}0.501{col 54}{space 4}-1.430896{col 67}{space 3}  .702451
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2} .0153474{col 26}{space 2} .0701729{col 37}{space 1}    0.22{col 46}{space 3}0.827{col 54}{space 4}-.1232177{col 67}{space 3} .1539126
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2}-.1248174{col 26}{space 2}  .212503{col 37}{space 1}   -0.59{col 46}{space 3}0.558{col 54}{space 4} -.544431{col 67}{space 3} .2947962
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} .0132367{col 26}{space 2}  .067043{col 37}{space 1}    0.20{col 46}{space 3}0.844{col 54}{space 4} -.119148{col 67}{space 3} .1456214
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull = .06{p_end}

{txt}       F(  1,   163) ={res}    3.53
{txt}{col 13}Prob > F ={res}    0.0621

{p 0 7}{space 1}{text:( 1)}{space 1} treatfull = -.06{p_end}

{txt}       F(  1,   163) ={res}    0.52
{txt}{col 13}Prob > F ={res}    0.4737

{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}       187
{txt}{col 49}F({res}   8{txt},{res}    163{txt}){col 67}= {res}      1.07
{txt}{col 49}Prob > F{col 67}= {res}    0.3833
{txt}{col 49}R-squared{col 67}= {res}    0.0942
{txt}{col 49}Adj R-squared{col 67}= {res}   -0.0336
{txt}{col 49}Root MSE{col 67}= {res}    0.7003

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}e_h_ctzpre~z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2} -.134271{col 26}{space 2} .1034163{col 37}{space 1}   -1.30{col 46}{space 3}0.196{col 54}{space 4}-.3384793{col 67}{space 3} .0699373
{txt}b_h_ctzpre~z {c |}{col 14}{res}{space 2} .0079571{col 26}{space 2} .0641321{col 37}{space 1}    0.12{col 46}{space 3}0.901{col 54}{space 4}-.1186797{col 67}{space 3} .1345939
{txt}c_tf~_hc_hc2 {c |}{col 14}{res}{space 2}-.0584948{col 26}{space 2} .1591786{col 37}{space 1}   -0.37{col 46}{space 3}0.714{col 54}{space 4}-.3728128{col 67}{space 3} .2558233
{txt}c_tfull_hc~l {c |}{col 14}{res}{space 2} .0323762{col 26}{space 2} .1552813{col 37}{space 1}    0.21{col 46}{space 3}0.835{col 54}{space 4}-.2742462{col 67}{space 3} .3389986
{txt}c_tfull_hc~s {c |}{col 14}{res}{space 2} .3169935{col 26}{space 2} .1844047{col 37}{space 1}    1.72{col 46}{space 3}0.088{col 54}{space 4}-.0471364{col 67}{space 3} .6811235
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2}-.3642223{col 26}{space 2} .5401904{col 37}{space 1}   -0.67{col 46}{space 3}0.501{col 54}{space 4}-1.430896{col 67}{space 3}  .702451
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2} .0153474{col 26}{space 2} .0701729{col 37}{space 1}    0.22{col 46}{space 3}0.827{col 54}{space 4}-.1232177{col 67}{space 3} .1539126
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2}-.1248174{col 26}{space 2}  .212503{col 37}{space 1}   -0.59{col 46}{space 3}0.558{col 54}{space 4} -.544431{col 67}{space 3} .2947962
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} .0132367{col 26}{space 2}  .067043{col 37}{space 1}    0.20{col 46}{space 3}0.844{col 54}{space 4} -.119148{col 67}{space 3} .1456214
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull = .061{p_end}

{txt}       F(  1,   163) ={res}    3.57
{txt}{col 13}Prob > F ={res}    0.0608

{p 0 7}{space 1}{text:( 1)}{space 1} treatfull = -.061{p_end}

{txt}       F(  1,   163) ={res}    0.50
{txt}{col 13}Prob > F ={res}    0.4796

{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}       187
{txt}{col 49}F({res}   8{txt},{res}    163{txt}){col 67}= {res}      1.07
{txt}{col 49}Prob > F{col 67}= {res}    0.3833
{txt}{col 49}R-squared{col 67}= {res}    0.0942
{txt}{col 49}Adj R-squared{col 67}= {res}   -0.0336
{txt}{col 49}Root MSE{col 67}= {res}    0.7003

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}e_h_ctzpre~z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2} -.134271{col 26}{space 2} .1034163{col 37}{space 1}   -1.30{col 46}{space 3}0.196{col 54}{space 4}-.3384793{col 67}{space 3} .0699373
{txt}b_h_ctzpre~z {c |}{col 14}{res}{space 2} .0079571{col 26}{space 2} .0641321{col 37}{space 1}    0.12{col 46}{space 3}0.901{col 54}{space 4}-.1186797{col 67}{space 3} .1345939
{txt}c_tf~_hc_hc2 {c |}{col 14}{res}{space 2}-.0584948{col 26}{space 2} .1591786{col 37}{space 1}   -0.37{col 46}{space 3}0.714{col 54}{space 4}-.3728128{col 67}{space 3} .2558233
{txt}c_tfull_hc~l {c |}{col 14}{res}{space 2} .0323762{col 26}{space 2} .1552813{col 37}{space 1}    0.21{col 46}{space 3}0.835{col 54}{space 4}-.2742462{col 67}{space 3} .3389986
{txt}c_tfull_hc~s {c |}{col 14}{res}{space 2} .3169935{col 26}{space 2} .1844047{col 37}{space 1}    1.72{col 46}{space 3}0.088{col 54}{space 4}-.0471364{col 67}{space 3} .6811235
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2}-.3642223{col 26}{space 2} .5401904{col 37}{space 1}   -0.67{col 46}{space 3}0.501{col 54}{space 4}-1.430896{col 67}{space 3}  .702451
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2} .0153474{col 26}{space 2} .0701729{col 37}{space 1}    0.22{col 46}{space 3}0.827{col 54}{space 4}-.1232177{col 67}{space 3} .1539126
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2}-.1248174{col 26}{space 2}  .212503{col 37}{space 1}   -0.59{col 46}{space 3}0.558{col 54}{space 4} -.544431{col 67}{space 3} .2947962
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} .0132367{col 26}{space 2}  .067043{col 37}{space 1}    0.20{col 46}{space 3}0.844{col 54}{space 4} -.119148{col 67}{space 3} .1456214
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull = .062{p_end}

{txt}       F(  1,   163) ={res}    3.60
{txt}{col 13}Prob > F ={res}    0.0595

{p 0 7}{space 1}{text:( 1)}{space 1} treatfull = -.062{p_end}

{txt}       F(  1,   163) ={res}    0.49
{txt}{col 13}Prob > F ={res}    0.4857

{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}       187
{txt}{col 49}F({res}   8{txt},{res}    163{txt}){col 67}= {res}      1.07
{txt}{col 49}Prob > F{col 67}= {res}    0.3833
{txt}{col 49}R-squared{col 67}= {res}    0.0942
{txt}{col 49}Adj R-squared{col 67}= {res}   -0.0336
{txt}{col 49}Root MSE{col 67}= {res}    0.7003

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}e_h_ctzpre~z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2} -.134271{col 26}{space 2} .1034163{col 37}{space 1}   -1.30{col 46}{space 3}0.196{col 54}{space 4}-.3384793{col 67}{space 3} .0699373
{txt}b_h_ctzpre~z {c |}{col 14}{res}{space 2} .0079571{col 26}{space 2} .0641321{col 37}{space 1}    0.12{col 46}{space 3}0.901{col 54}{space 4}-.1186797{col 67}{space 3} .1345939
{txt}c_tf~_hc_hc2 {c |}{col 14}{res}{space 2}-.0584948{col 26}{space 2} .1591786{col 37}{space 1}   -0.37{col 46}{space 3}0.714{col 54}{space 4}-.3728128{col 67}{space 3} .2558233
{txt}c_tfull_hc~l {c |}{col 14}{res}{space 2} .0323762{col 26}{space 2} .1552813{col 37}{space 1}    0.21{col 46}{space 3}0.835{col 54}{space 4}-.2742462{col 67}{space 3} .3389986
{txt}c_tfull_hc~s {c |}{col 14}{res}{space 2} .3169935{col 26}{space 2} .1844047{col 37}{space 1}    1.72{col 46}{space 3}0.088{col 54}{space 4}-.0471364{col 67}{space 3} .6811235
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2}-.3642223{col 26}{space 2} .5401904{col 37}{space 1}   -0.67{col 46}{space 3}0.501{col 54}{space 4}-1.430896{col 67}{space 3}  .702451
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2} .0153474{col 26}{space 2} .0701729{col 37}{space 1}    0.22{col 46}{space 3}0.827{col 54}{space 4}-.1232177{col 67}{space 3} .1539126
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2}-.1248174{col 26}{space 2}  .212503{col 37}{space 1}   -0.59{col 46}{space 3}0.558{col 54}{space 4} -.544431{col 67}{space 3} .2947962
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} .0132367{col 26}{space 2}  .067043{col 37}{space 1}    0.20{col 46}{space 3}0.844{col 54}{space 4} -.119148{col 67}{space 3} .1456214
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull = .063{p_end}

{txt}       F(  1,   163) ={res}    3.64
{txt}{col 13}Prob > F ={res}    0.0582

{p 0 7}{space 1}{text:( 1)}{space 1} treatfull = -.063{p_end}

{txt}       F(  1,   163) ={res}    0.47
{txt}{col 13}Prob > F ={res}    0.4917

{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}       187
{txt}{col 49}F({res}   8{txt},{res}    163{txt}){col 67}= {res}      1.07
{txt}{col 49}Prob > F{col 67}= {res}    0.3833
{txt}{col 49}R-squared{col 67}= {res}    0.0942
{txt}{col 49}Adj R-squared{col 67}= {res}   -0.0336
{txt}{col 49}Root MSE{col 67}= {res}    0.7003

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}e_h_ctzpre~z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2} -.134271{col 26}{space 2} .1034163{col 37}{space 1}   -1.30{col 46}{space 3}0.196{col 54}{space 4}-.3384793{col 67}{space 3} .0699373
{txt}b_h_ctzpre~z {c |}{col 14}{res}{space 2} .0079571{col 26}{space 2} .0641321{col 37}{space 1}    0.12{col 46}{space 3}0.901{col 54}{space 4}-.1186797{col 67}{space 3} .1345939
{txt}c_tf~_hc_hc2 {c |}{col 14}{res}{space 2}-.0584948{col 26}{space 2} .1591786{col 37}{space 1}   -0.37{col 46}{space 3}0.714{col 54}{space 4}-.3728128{col 67}{space 3} .2558233
{txt}c_tfull_hc~l {c |}{col 14}{res}{space 2} .0323762{col 26}{space 2} .1552813{col 37}{space 1}    0.21{col 46}{space 3}0.835{col 54}{space 4}-.2742462{col 67}{space 3} .3389986
{txt}c_tfull_hc~s {c |}{col 14}{res}{space 2} .3169935{col 26}{space 2} .1844047{col 37}{space 1}    1.72{col 46}{space 3}0.088{col 54}{space 4}-.0471364{col 67}{space 3} .6811235
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2}-.3642223{col 26}{space 2} .5401904{col 37}{space 1}   -0.67{col 46}{space 3}0.501{col 54}{space 4}-1.430896{col 67}{space 3}  .702451
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2} .0153474{col 26}{space 2} .0701729{col 37}{space 1}    0.22{col 46}{space 3}0.827{col 54}{space 4}-.1232177{col 67}{space 3} .1539126
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2}-.1248174{col 26}{space 2}  .212503{col 37}{space 1}   -0.59{col 46}{space 3}0.558{col 54}{space 4} -.544431{col 67}{space 3} .2947962
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} .0132367{col 26}{space 2}  .067043{col 37}{space 1}    0.20{col 46}{space 3}0.844{col 54}{space 4} -.119148{col 67}{space 3} .1456214
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull = .064{p_end}

{txt}       F(  1,   163) ={res}    3.68
{txt}{col 13}Prob > F ={res}    0.0570

{p 0 7}{space 1}{text:( 1)}{space 1} treatfull = -.064{p_end}

{txt}       F(  1,   163) ={res}    0.46
{txt}{col 13}Prob > F ={res}    0.4978

{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}       187
{txt}{col 49}F({res}   8{txt},{res}    163{txt}){col 67}= {res}      1.07
{txt}{col 49}Prob > F{col 67}= {res}    0.3833
{txt}{col 49}R-squared{col 67}= {res}    0.0942
{txt}{col 49}Adj R-squared{col 67}= {res}   -0.0336
{txt}{col 49}Root MSE{col 67}= {res}    0.7003

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}e_h_ctzpre~z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2} -.134271{col 26}{space 2} .1034163{col 37}{space 1}   -1.30{col 46}{space 3}0.196{col 54}{space 4}-.3384793{col 67}{space 3} .0699373
{txt}b_h_ctzpre~z {c |}{col 14}{res}{space 2} .0079571{col 26}{space 2} .0641321{col 37}{space 1}    0.12{col 46}{space 3}0.901{col 54}{space 4}-.1186797{col 67}{space 3} .1345939
{txt}c_tf~_hc_hc2 {c |}{col 14}{res}{space 2}-.0584948{col 26}{space 2} .1591786{col 37}{space 1}   -0.37{col 46}{space 3}0.714{col 54}{space 4}-.3728128{col 67}{space 3} .2558233
{txt}c_tfull_hc~l {c |}{col 14}{res}{space 2} .0323762{col 26}{space 2} .1552813{col 37}{space 1}    0.21{col 46}{space 3}0.835{col 54}{space 4}-.2742462{col 67}{space 3} .3389986
{txt}c_tfull_hc~s {c |}{col 14}{res}{space 2} .3169935{col 26}{space 2} .1844047{col 37}{space 1}    1.72{col 46}{space 3}0.088{col 54}{space 4}-.0471364{col 67}{space 3} .6811235
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2}-.3642223{col 26}{space 2} .5401904{col 37}{space 1}   -0.67{col 46}{space 3}0.501{col 54}{space 4}-1.430896{col 67}{space 3}  .702451
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2} .0153474{col 26}{space 2} .0701729{col 37}{space 1}    0.22{col 46}{space 3}0.827{col 54}{space 4}-.1232177{col 67}{space 3} .1539126
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2}-.1248174{col 26}{space 2}  .212503{col 37}{space 1}   -0.59{col 46}{space 3}0.558{col 54}{space 4} -.544431{col 67}{space 3} .2947962
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} .0132367{col 26}{space 2}  .067043{col 37}{space 1}    0.20{col 46}{space 3}0.844{col 54}{space 4} -.119148{col 67}{space 3} .1456214
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull = .065{p_end}

{txt}       F(  1,   163) ={res}    3.71
{txt}{col 13}Prob > F ={res}    0.0557

{p 0 7}{space 1}{text:( 1)}{space 1} treatfull = -.065{p_end}

{txt}       F(  1,   163) ={res}    0.45
{txt}{col 13}Prob > F ={res}    0.5039

{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}       187
{txt}{col 49}F({res}   8{txt},{res}    163{txt}){col 67}= {res}      1.07
{txt}{col 49}Prob > F{col 67}= {res}    0.3833
{txt}{col 49}R-squared{col 67}= {res}    0.0942
{txt}{col 49}Adj R-squared{col 67}= {res}   -0.0336
{txt}{col 49}Root MSE{col 67}= {res}    0.7003

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}e_h_ctzpre~z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2} -.134271{col 26}{space 2} .1034163{col 37}{space 1}   -1.30{col 46}{space 3}0.196{col 54}{space 4}-.3384793{col 67}{space 3} .0699373
{txt}b_h_ctzpre~z {c |}{col 14}{res}{space 2} .0079571{col 26}{space 2} .0641321{col 37}{space 1}    0.12{col 46}{space 3}0.901{col 54}{space 4}-.1186797{col 67}{space 3} .1345939
{txt}c_tf~_hc_hc2 {c |}{col 14}{res}{space 2}-.0584948{col 26}{space 2} .1591786{col 37}{space 1}   -0.37{col 46}{space 3}0.714{col 54}{space 4}-.3728128{col 67}{space 3} .2558233
{txt}c_tfull_hc~l {c |}{col 14}{res}{space 2} .0323762{col 26}{space 2} .1552813{col 37}{space 1}    0.21{col 46}{space 3}0.835{col 54}{space 4}-.2742462{col 67}{space 3} .3389986
{txt}c_tfull_hc~s {c |}{col 14}{res}{space 2} .3169935{col 26}{space 2} .1844047{col 37}{space 1}    1.72{col 46}{space 3}0.088{col 54}{space 4}-.0471364{col 67}{space 3} .6811235
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2}-.3642223{col 26}{space 2} .5401904{col 37}{space 1}   -0.67{col 46}{space 3}0.501{col 54}{space 4}-1.430896{col 67}{space 3}  .702451
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2} .0153474{col 26}{space 2} .0701729{col 37}{space 1}    0.22{col 46}{space 3}0.827{col 54}{space 4}-.1232177{col 67}{space 3} .1539126
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2}-.1248174{col 26}{space 2}  .212503{col 37}{space 1}   -0.59{col 46}{space 3}0.558{col 54}{space 4} -.544431{col 67}{space 3} .2947962
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} .0132367{col 26}{space 2}  .067043{col 37}{space 1}    0.20{col 46}{space 3}0.844{col 54}{space 4} -.119148{col 67}{space 3} .1456214
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull = .066{p_end}

{txt}       F(  1,   163) ={res}    3.75
{txt}{col 13}Prob > F ={res}    0.0545

{p 0 7}{space 1}{text:( 1)}{space 1} treatfull = -.066{p_end}

{txt}       F(  1,   163) ={res}    0.44
{txt}{col 13}Prob > F ={res}    0.5101

{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}       187
{txt}{col 49}F({res}   8{txt},{res}    163{txt}){col 67}= {res}      1.07
{txt}{col 49}Prob > F{col 67}= {res}    0.3833
{txt}{col 49}R-squared{col 67}= {res}    0.0942
{txt}{col 49}Adj R-squared{col 67}= {res}   -0.0336
{txt}{col 49}Root MSE{col 67}= {res}    0.7003

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}e_h_ctzpre~z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2} -.134271{col 26}{space 2} .1034163{col 37}{space 1}   -1.30{col 46}{space 3}0.196{col 54}{space 4}-.3384793{col 67}{space 3} .0699373
{txt}b_h_ctzpre~z {c |}{col 14}{res}{space 2} .0079571{col 26}{space 2} .0641321{col 37}{space 1}    0.12{col 46}{space 3}0.901{col 54}{space 4}-.1186797{col 67}{space 3} .1345939
{txt}c_tf~_hc_hc2 {c |}{col 14}{res}{space 2}-.0584948{col 26}{space 2} .1591786{col 37}{space 1}   -0.37{col 46}{space 3}0.714{col 54}{space 4}-.3728128{col 67}{space 3} .2558233
{txt}c_tfull_hc~l {c |}{col 14}{res}{space 2} .0323762{col 26}{space 2} .1552813{col 37}{space 1}    0.21{col 46}{space 3}0.835{col 54}{space 4}-.2742462{col 67}{space 3} .3389986
{txt}c_tfull_hc~s {c |}{col 14}{res}{space 2} .3169935{col 26}{space 2} .1844047{col 37}{space 1}    1.72{col 46}{space 3}0.088{col 54}{space 4}-.0471364{col 67}{space 3} .6811235
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2}-.3642223{col 26}{space 2} .5401904{col 37}{space 1}   -0.67{col 46}{space 3}0.501{col 54}{space 4}-1.430896{col 67}{space 3}  .702451
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2} .0153474{col 26}{space 2} .0701729{col 37}{space 1}    0.22{col 46}{space 3}0.827{col 54}{space 4}-.1232177{col 67}{space 3} .1539126
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2}-.1248174{col 26}{space 2}  .212503{col 37}{space 1}   -0.59{col 46}{space 3}0.558{col 54}{space 4} -.544431{col 67}{space 3} .2947962
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} .0132367{col 26}{space 2}  .067043{col 37}{space 1}    0.20{col 46}{space 3}0.844{col 54}{space 4} -.119148{col 67}{space 3} .1456214
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull = .067{p_end}

{txt}       F(  1,   163) ={res}    3.79
{txt}{col 13}Prob > F ={res}    0.0533

{p 0 7}{space 1}{text:( 1)}{space 1} treatfull = -.067{p_end}

{txt}       F(  1,   163) ={res}    0.42
{txt}{col 13}Prob > F ={res}    0.5163

{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}       187
{txt}{col 49}F({res}   8{txt},{res}    163{txt}){col 67}= {res}      1.07
{txt}{col 49}Prob > F{col 67}= {res}    0.3833
{txt}{col 49}R-squared{col 67}= {res}    0.0942
{txt}{col 49}Adj R-squared{col 67}= {res}   -0.0336
{txt}{col 49}Root MSE{col 67}= {res}    0.7003

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}e_h_ctzpre~z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2} -.134271{col 26}{space 2} .1034163{col 37}{space 1}   -1.30{col 46}{space 3}0.196{col 54}{space 4}-.3384793{col 67}{space 3} .0699373
{txt}b_h_ctzpre~z {c |}{col 14}{res}{space 2} .0079571{col 26}{space 2} .0641321{col 37}{space 1}    0.12{col 46}{space 3}0.901{col 54}{space 4}-.1186797{col 67}{space 3} .1345939
{txt}c_tf~_hc_hc2 {c |}{col 14}{res}{space 2}-.0584948{col 26}{space 2} .1591786{col 37}{space 1}   -0.37{col 46}{space 3}0.714{col 54}{space 4}-.3728128{col 67}{space 3} .2558233
{txt}c_tfull_hc~l {c |}{col 14}{res}{space 2} .0323762{col 26}{space 2} .1552813{col 37}{space 1}    0.21{col 46}{space 3}0.835{col 54}{space 4}-.2742462{col 67}{space 3} .3389986
{txt}c_tfull_hc~s {c |}{col 14}{res}{space 2} .3169935{col 26}{space 2} .1844047{col 37}{space 1}    1.72{col 46}{space 3}0.088{col 54}{space 4}-.0471364{col 67}{space 3} .6811235
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2}-.3642223{col 26}{space 2} .5401904{col 37}{space 1}   -0.67{col 46}{space 3}0.501{col 54}{space 4}-1.430896{col 67}{space 3}  .702451
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2} .0153474{col 26}{space 2} .0701729{col 37}{space 1}    0.22{col 46}{space 3}0.827{col 54}{space 4}-.1232177{col 67}{space 3} .1539126
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2}-.1248174{col 26}{space 2}  .212503{col 37}{space 1}   -0.59{col 46}{space 3}0.558{col 54}{space 4} -.544431{col 67}{space 3} .2947962
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} .0132367{col 26}{space 2}  .067043{col 37}{space 1}    0.20{col 46}{space 3}0.844{col 54}{space 4} -.119148{col 67}{space 3} .1456214
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull = .068{p_end}

{txt}       F(  1,   163) ={res}    3.83
{txt}{col 13}Prob > F ={res}    0.0522

{p 0 7}{space 1}{text:( 1)}{space 1} treatfull = -.068{p_end}

{txt}       F(  1,   163) ={res}    0.41
{txt}{col 13}Prob > F ={res}    0.5225

{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}       187
{txt}{col 49}F({res}   8{txt},{res}    163{txt}){col 67}= {res}      1.07
{txt}{col 49}Prob > F{col 67}= {res}    0.3833
{txt}{col 49}R-squared{col 67}= {res}    0.0942
{txt}{col 49}Adj R-squared{col 67}= {res}   -0.0336
{txt}{col 49}Root MSE{col 67}= {res}    0.7003

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}e_h_ctzpre~z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2} -.134271{col 26}{space 2} .1034163{col 37}{space 1}   -1.30{col 46}{space 3}0.196{col 54}{space 4}-.3384793{col 67}{space 3} .0699373
{txt}b_h_ctzpre~z {c |}{col 14}{res}{space 2} .0079571{col 26}{space 2} .0641321{col 37}{space 1}    0.12{col 46}{space 3}0.901{col 54}{space 4}-.1186797{col 67}{space 3} .1345939
{txt}c_tf~_hc_hc2 {c |}{col 14}{res}{space 2}-.0584948{col 26}{space 2} .1591786{col 37}{space 1}   -0.37{col 46}{space 3}0.714{col 54}{space 4}-.3728128{col 67}{space 3} .2558233
{txt}c_tfull_hc~l {c |}{col 14}{res}{space 2} .0323762{col 26}{space 2} .1552813{col 37}{space 1}    0.21{col 46}{space 3}0.835{col 54}{space 4}-.2742462{col 67}{space 3} .3389986
{txt}c_tfull_hc~s {c |}{col 14}{res}{space 2} .3169935{col 26}{space 2} .1844047{col 37}{space 1}    1.72{col 46}{space 3}0.088{col 54}{space 4}-.0471364{col 67}{space 3} .6811235
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2}-.3642223{col 26}{space 2} .5401904{col 37}{space 1}   -0.67{col 46}{space 3}0.501{col 54}{space 4}-1.430896{col 67}{space 3}  .702451
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2} .0153474{col 26}{space 2} .0701729{col 37}{space 1}    0.22{col 46}{space 3}0.827{col 54}{space 4}-.1232177{col 67}{space 3} .1539126
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2}-.1248174{col 26}{space 2}  .212503{col 37}{space 1}   -0.59{col 46}{space 3}0.558{col 54}{space 4} -.544431{col 67}{space 3} .2947962
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} .0132367{col 26}{space 2}  .067043{col 37}{space 1}    0.20{col 46}{space 3}0.844{col 54}{space 4} -.119148{col 67}{space 3} .1456214
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull = .069{p_end}

{txt}       F(  1,   163) ={res}    3.86
{txt}{col 13}Prob > F ={res}    0.0510

{p 0 7}{space 1}{text:( 1)}{space 1} treatfull = -.069{p_end}

{txt}       F(  1,   163) ={res}    0.40
{txt}{col 13}Prob > F ={res}    0.5288

{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}       187
{txt}{col 49}F({res}   8{txt},{res}    163{txt}){col 67}= {res}      1.07
{txt}{col 49}Prob > F{col 67}= {res}    0.3833
{txt}{col 49}R-squared{col 67}= {res}    0.0942
{txt}{col 49}Adj R-squared{col 67}= {res}   -0.0336
{txt}{col 49}Root MSE{col 67}= {res}    0.7003

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}e_h_ctzpre~z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2} -.134271{col 26}{space 2} .1034163{col 37}{space 1}   -1.30{col 46}{space 3}0.196{col 54}{space 4}-.3384793{col 67}{space 3} .0699373
{txt}b_h_ctzpre~z {c |}{col 14}{res}{space 2} .0079571{col 26}{space 2} .0641321{col 37}{space 1}    0.12{col 46}{space 3}0.901{col 54}{space 4}-.1186797{col 67}{space 3} .1345939
{txt}c_tf~_hc_hc2 {c |}{col 14}{res}{space 2}-.0584948{col 26}{space 2} .1591786{col 37}{space 1}   -0.37{col 46}{space 3}0.714{col 54}{space 4}-.3728128{col 67}{space 3} .2558233
{txt}c_tfull_hc~l {c |}{col 14}{res}{space 2} .0323762{col 26}{space 2} .1552813{col 37}{space 1}    0.21{col 46}{space 3}0.835{col 54}{space 4}-.2742462{col 67}{space 3} .3389986
{txt}c_tfull_hc~s {c |}{col 14}{res}{space 2} .3169935{col 26}{space 2} .1844047{col 37}{space 1}    1.72{col 46}{space 3}0.088{col 54}{space 4}-.0471364{col 67}{space 3} .6811235
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2}-.3642223{col 26}{space 2} .5401904{col 37}{space 1}   -0.67{col 46}{space 3}0.501{col 54}{space 4}-1.430896{col 67}{space 3}  .702451
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2} .0153474{col 26}{space 2} .0701729{col 37}{space 1}    0.22{col 46}{space 3}0.827{col 54}{space 4}-.1232177{col 67}{space 3} .1539126
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2}-.1248174{col 26}{space 2}  .212503{col 37}{space 1}   -0.59{col 46}{space 3}0.558{col 54}{space 4} -.544431{col 67}{space 3} .2947962
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} .0132367{col 26}{space 2}  .067043{col 37}{space 1}    0.20{col 46}{space 3}0.844{col 54}{space 4} -.119148{col 67}{space 3} .1456214
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull = .07{p_end}

{txt}       F(  1,   163) ={res}    3.90
{txt}{col 13}Prob > F ={res}    0.0499

{p 0 7}{space 1}{text:( 1)}{space 1} treatfull = -.07{p_end}

{txt}       F(  1,   163) ={res}    0.39
{txt}{col 13}Prob > F ={res}    0.5352

{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}       187
{txt}{col 49}F({res}   8{txt},{res}    163{txt}){col 67}= {res}      1.07
{txt}{col 49}Prob > F{col 67}= {res}    0.3833
{txt}{col 49}R-squared{col 67}= {res}    0.0942
{txt}{col 49}Adj R-squared{col 67}= {res}   -0.0336
{txt}{col 49}Root MSE{col 67}= {res}    0.7003

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}e_h_ctzpre~z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2} -.134271{col 26}{space 2} .1034163{col 37}{space 1}   -1.30{col 46}{space 3}0.196{col 54}{space 4}-.3384793{col 67}{space 3} .0699373
{txt}b_h_ctzpre~z {c |}{col 14}{res}{space 2} .0079571{col 26}{space 2} .0641321{col 37}{space 1}    0.12{col 46}{space 3}0.901{col 54}{space 4}-.1186797{col 67}{space 3} .1345939
{txt}c_tf~_hc_hc2 {c |}{col 14}{res}{space 2}-.0584948{col 26}{space 2} .1591786{col 37}{space 1}   -0.37{col 46}{space 3}0.714{col 54}{space 4}-.3728128{col 67}{space 3} .2558233
{txt}c_tfull_hc~l {c |}{col 14}{res}{space 2} .0323762{col 26}{space 2} .1552813{col 37}{space 1}    0.21{col 46}{space 3}0.835{col 54}{space 4}-.2742462{col 67}{space 3} .3389986
{txt}c_tfull_hc~s {c |}{col 14}{res}{space 2} .3169935{col 26}{space 2} .1844047{col 37}{space 1}    1.72{col 46}{space 3}0.088{col 54}{space 4}-.0471364{col 67}{space 3} .6811235
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2}-.3642223{col 26}{space 2} .5401904{col 37}{space 1}   -0.67{col 46}{space 3}0.501{col 54}{space 4}-1.430896{col 67}{space 3}  .702451
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2} .0153474{col 26}{space 2} .0701729{col 37}{space 1}    0.22{col 46}{space 3}0.827{col 54}{space 4}-.1232177{col 67}{space 3} .1539126
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2}-.1248174{col 26}{space 2}  .212503{col 37}{space 1}   -0.59{col 46}{space 3}0.558{col 54}{space 4} -.544431{col 67}{space 3} .2947962
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} .0132367{col 26}{space 2}  .067043{col 37}{space 1}    0.20{col 46}{space 3}0.844{col 54}{space 4} -.119148{col 67}{space 3} .1456214
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull = .071{p_end}

{txt}       F(  1,   163) ={res}    3.94
{txt}{col 13}Prob > F ={res}    0.0488

{p 0 7}{space 1}{text:( 1)}{space 1} treatfull = -.071{p_end}

{txt}       F(  1,   163) ={res}    0.37
{txt}{col 13}Prob > F ={res}    0.5415

{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}       187
{txt}{col 49}F({res}   8{txt},{res}    163{txt}){col 67}= {res}      1.07
{txt}{col 49}Prob > F{col 67}= {res}    0.3833
{txt}{col 49}R-squared{col 67}= {res}    0.0942
{txt}{col 49}Adj R-squared{col 67}= {res}   -0.0336
{txt}{col 49}Root MSE{col 67}= {res}    0.7003

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}e_h_ctzpre~z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2} -.134271{col 26}{space 2} .1034163{col 37}{space 1}   -1.30{col 46}{space 3}0.196{col 54}{space 4}-.3384793{col 67}{space 3} .0699373
{txt}b_h_ctzpre~z {c |}{col 14}{res}{space 2} .0079571{col 26}{space 2} .0641321{col 37}{space 1}    0.12{col 46}{space 3}0.901{col 54}{space 4}-.1186797{col 67}{space 3} .1345939
{txt}c_tf~_hc_hc2 {c |}{col 14}{res}{space 2}-.0584948{col 26}{space 2} .1591786{col 37}{space 1}   -0.37{col 46}{space 3}0.714{col 54}{space 4}-.3728128{col 67}{space 3} .2558233
{txt}c_tfull_hc~l {c |}{col 14}{res}{space 2} .0323762{col 26}{space 2} .1552813{col 37}{space 1}    0.21{col 46}{space 3}0.835{col 54}{space 4}-.2742462{col 67}{space 3} .3389986
{txt}c_tfull_hc~s {c |}{col 14}{res}{space 2} .3169935{col 26}{space 2} .1844047{col 37}{space 1}    1.72{col 46}{space 3}0.088{col 54}{space 4}-.0471364{col 67}{space 3} .6811235
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2}-.3642223{col 26}{space 2} .5401904{col 37}{space 1}   -0.67{col 46}{space 3}0.501{col 54}{space 4}-1.430896{col 67}{space 3}  .702451
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2} .0153474{col 26}{space 2} .0701729{col 37}{space 1}    0.22{col 46}{space 3}0.827{col 54}{space 4}-.1232177{col 67}{space 3} .1539126
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2}-.1248174{col 26}{space 2}  .212503{col 37}{space 1}   -0.59{col 46}{space 3}0.558{col 54}{space 4} -.544431{col 67}{space 3} .2947962
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} .0132367{col 26}{space 2}  .067043{col 37}{space 1}    0.20{col 46}{space 3}0.844{col 54}{space 4} -.119148{col 67}{space 3} .1456214
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull = .072{p_end}

{txt}       F(  1,   163) ={res}    3.98
{txt}{col 13}Prob > F ={res}    0.0478

{p 0 7}{space 1}{text:( 1)}{space 1} treatfull = -.072{p_end}

{txt}       F(  1,   163) ={res}    0.36
{txt}{col 13}Prob > F ={res}    0.5479

{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}       187
{txt}{col 49}F({res}   8{txt},{res}    163{txt}){col 67}= {res}      1.07
{txt}{col 49}Prob > F{col 67}= {res}    0.3833
{txt}{col 49}R-squared{col 67}= {res}    0.0942
{txt}{col 49}Adj R-squared{col 67}= {res}   -0.0336
{txt}{col 49}Root MSE{col 67}= {res}    0.7003

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}e_h_ctzpre~z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2} -.134271{col 26}{space 2} .1034163{col 37}{space 1}   -1.30{col 46}{space 3}0.196{col 54}{space 4}-.3384793{col 67}{space 3} .0699373
{txt}b_h_ctzpre~z {c |}{col 14}{res}{space 2} .0079571{col 26}{space 2} .0641321{col 37}{space 1}    0.12{col 46}{space 3}0.901{col 54}{space 4}-.1186797{col 67}{space 3} .1345939
{txt}c_tf~_hc_hc2 {c |}{col 14}{res}{space 2}-.0584948{col 26}{space 2} .1591786{col 37}{space 1}   -0.37{col 46}{space 3}0.714{col 54}{space 4}-.3728128{col 67}{space 3} .2558233
{txt}c_tfull_hc~l {c |}{col 14}{res}{space 2} .0323762{col 26}{space 2} .1552813{col 37}{space 1}    0.21{col 46}{space 3}0.835{col 54}{space 4}-.2742462{col 67}{space 3} .3389986
{txt}c_tfull_hc~s {c |}{col 14}{res}{space 2} .3169935{col 26}{space 2} .1844047{col 37}{space 1}    1.72{col 46}{space 3}0.088{col 54}{space 4}-.0471364{col 67}{space 3} .6811235
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2}-.3642223{col 26}{space 2} .5401904{col 37}{space 1}   -0.67{col 46}{space 3}0.501{col 54}{space 4}-1.430896{col 67}{space 3}  .702451
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2} .0153474{col 26}{space 2} .0701729{col 37}{space 1}    0.22{col 46}{space 3}0.827{col 54}{space 4}-.1232177{col 67}{space 3} .1539126
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2}-.1248174{col 26}{space 2}  .212503{col 37}{space 1}   -0.59{col 46}{space 3}0.558{col 54}{space 4} -.544431{col 67}{space 3} .2947962
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} .0132367{col 26}{space 2}  .067043{col 37}{space 1}    0.20{col 46}{space 3}0.844{col 54}{space 4} -.119148{col 67}{space 3} .1456214
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull = .073{p_end}

{txt}       F(  1,   163) ={res}    4.02
{txt}{col 13}Prob > F ={res}    0.0467

{p 0 7}{space 1}{text:( 1)}{space 1} treatfull = -.073{p_end}

{txt}       F(  1,   163) ={res}    0.35
{txt}{col 13}Prob > F ={res}    0.5544

{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}       187
{txt}{col 49}F({res}   8{txt},{res}    163{txt}){col 67}= {res}      1.07
{txt}{col 49}Prob > F{col 67}= {res}    0.3833
{txt}{col 49}R-squared{col 67}= {res}    0.0942
{txt}{col 49}Adj R-squared{col 67}= {res}   -0.0336
{txt}{col 49}Root MSE{col 67}= {res}    0.7003

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}e_h_ctzpre~z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2} -.134271{col 26}{space 2} .1034163{col 37}{space 1}   -1.30{col 46}{space 3}0.196{col 54}{space 4}-.3384793{col 67}{space 3} .0699373
{txt}b_h_ctzpre~z {c |}{col 14}{res}{space 2} .0079571{col 26}{space 2} .0641321{col 37}{space 1}    0.12{col 46}{space 3}0.901{col 54}{space 4}-.1186797{col 67}{space 3} .1345939
{txt}c_tf~_hc_hc2 {c |}{col 14}{res}{space 2}-.0584948{col 26}{space 2} .1591786{col 37}{space 1}   -0.37{col 46}{space 3}0.714{col 54}{space 4}-.3728128{col 67}{space 3} .2558233
{txt}c_tfull_hc~l {c |}{col 14}{res}{space 2} .0323762{col 26}{space 2} .1552813{col 37}{space 1}    0.21{col 46}{space 3}0.835{col 54}{space 4}-.2742462{col 67}{space 3} .3389986
{txt}c_tfull_hc~s {c |}{col 14}{res}{space 2} .3169935{col 26}{space 2} .1844047{col 37}{space 1}    1.72{col 46}{space 3}0.088{col 54}{space 4}-.0471364{col 67}{space 3} .6811235
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2}-.3642223{col 26}{space 2} .5401904{col 37}{space 1}   -0.67{col 46}{space 3}0.501{col 54}{space 4}-1.430896{col 67}{space 3}  .702451
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2} .0153474{col 26}{space 2} .0701729{col 37}{space 1}    0.22{col 46}{space 3}0.827{col 54}{space 4}-.1232177{col 67}{space 3} .1539126
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2}-.1248174{col 26}{space 2}  .212503{col 37}{space 1}   -0.59{col 46}{space 3}0.558{col 54}{space 4} -.544431{col 67}{space 3} .2947962
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} .0132367{col 26}{space 2}  .067043{col 37}{space 1}    0.20{col 46}{space 3}0.844{col 54}{space 4} -.119148{col 67}{space 3} .1456214
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull = .074{p_end}

{txt}       F(  1,   163) ={res}    4.06
{txt}{col 13}Prob > F ={res}    0.0457

{p 0 7}{space 1}{text:( 1)}{space 1} treatfull = -.074{p_end}

{txt}       F(  1,   163) ={res}    0.34
{txt}{col 13}Prob > F ={res}    0.5608

{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}       187
{txt}{col 49}F({res}   8{txt},{res}    163{txt}){col 67}= {res}      1.07
{txt}{col 49}Prob > F{col 67}= {res}    0.3833
{txt}{col 49}R-squared{col 67}= {res}    0.0942
{txt}{col 49}Adj R-squared{col 67}= {res}   -0.0336
{txt}{col 49}Root MSE{col 67}= {res}    0.7003

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}e_h_ctzpre~z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2} -.134271{col 26}{space 2} .1034163{col 37}{space 1}   -1.30{col 46}{space 3}0.196{col 54}{space 4}-.3384793{col 67}{space 3} .0699373
{txt}b_h_ctzpre~z {c |}{col 14}{res}{space 2} .0079571{col 26}{space 2} .0641321{col 37}{space 1}    0.12{col 46}{space 3}0.901{col 54}{space 4}-.1186797{col 67}{space 3} .1345939
{txt}c_tf~_hc_hc2 {c |}{col 14}{res}{space 2}-.0584948{col 26}{space 2} .1591786{col 37}{space 1}   -0.37{col 46}{space 3}0.714{col 54}{space 4}-.3728128{col 67}{space 3} .2558233
{txt}c_tfull_hc~l {c |}{col 14}{res}{space 2} .0323762{col 26}{space 2} .1552813{col 37}{space 1}    0.21{col 46}{space 3}0.835{col 54}{space 4}-.2742462{col 67}{space 3} .3389986
{txt}c_tfull_hc~s {c |}{col 14}{res}{space 2} .3169935{col 26}{space 2} .1844047{col 37}{space 1}    1.72{col 46}{space 3}0.088{col 54}{space 4}-.0471364{col 67}{space 3} .6811235
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2}-.3642223{col 26}{space 2} .5401904{col 37}{space 1}   -0.67{col 46}{space 3}0.501{col 54}{space 4}-1.430896{col 67}{space 3}  .702451
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2} .0153474{col 26}{space 2} .0701729{col 37}{space 1}    0.22{col 46}{space 3}0.827{col 54}{space 4}-.1232177{col 67}{space 3} .1539126
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2}-.1248174{col 26}{space 2}  .212503{col 37}{space 1}   -0.59{col 46}{space 3}0.558{col 54}{space 4} -.544431{col 67}{space 3} .2947962
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} .0132367{col 26}{space 2}  .067043{col 37}{space 1}    0.20{col 46}{space 3}0.844{col 54}{space 4} -.119148{col 67}{space 3} .1456214
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull = .075{p_end}

{txt}       F(  1,   163) ={res}    4.09
{txt}{col 13}Prob > F ={res}    0.0446

{p 0 7}{space 1}{text:( 1)}{space 1} treatfull = -.075{p_end}

{txt}       F(  1,   163) ={res}    0.33
{txt}{col 13}Prob > F ={res}    0.5673

{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}       187
{txt}{col 49}F({res}   8{txt},{res}    163{txt}){col 67}= {res}      1.07
{txt}{col 49}Prob > F{col 67}= {res}    0.3833
{txt}{col 49}R-squared{col 67}= {res}    0.0942
{txt}{col 49}Adj R-squared{col 67}= {res}   -0.0336
{txt}{col 49}Root MSE{col 67}= {res}    0.7003

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}e_h_ctzpre~z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2} -.134271{col 26}{space 2} .1034163{col 37}{space 1}   -1.30{col 46}{space 3}0.196{col 54}{space 4}-.3384793{col 67}{space 3} .0699373
{txt}b_h_ctzpre~z {c |}{col 14}{res}{space 2} .0079571{col 26}{space 2} .0641321{col 37}{space 1}    0.12{col 46}{space 3}0.901{col 54}{space 4}-.1186797{col 67}{space 3} .1345939
{txt}c_tf~_hc_hc2 {c |}{col 14}{res}{space 2}-.0584948{col 26}{space 2} .1591786{col 37}{space 1}   -0.37{col 46}{space 3}0.714{col 54}{space 4}-.3728128{col 67}{space 3} .2558233
{txt}c_tfull_hc~l {c |}{col 14}{res}{space 2} .0323762{col 26}{space 2} .1552813{col 37}{space 1}    0.21{col 46}{space 3}0.835{col 54}{space 4}-.2742462{col 67}{space 3} .3389986
{txt}c_tfull_hc~s {c |}{col 14}{res}{space 2} .3169935{col 26}{space 2} .1844047{col 37}{space 1}    1.72{col 46}{space 3}0.088{col 54}{space 4}-.0471364{col 67}{space 3} .6811235
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2}-.3642223{col 26}{space 2} .5401904{col 37}{space 1}   -0.67{col 46}{space 3}0.501{col 54}{space 4}-1.430896{col 67}{space 3}  .702451
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2} .0153474{col 26}{space 2} .0701729{col 37}{space 1}    0.22{col 46}{space 3}0.827{col 54}{space 4}-.1232177{col 67}{space 3} .1539126
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2}-.1248174{col 26}{space 2}  .212503{col 37}{space 1}   -0.59{col 46}{space 3}0.558{col 54}{space 4} -.544431{col 67}{space 3} .2947962
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} .0132367{col 26}{space 2}  .067043{col 37}{space 1}    0.20{col 46}{space 3}0.844{col 54}{space 4} -.119148{col 67}{space 3} .1456214
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull = .076{p_end}

{txt}       F(  1,   163) ={res}    4.13
{txt}{col 13}Prob > F ={res}    0.0436

{p 0 7}{space 1}{text:( 1)}{space 1} treatfull = -.076{p_end}

{txt}       F(  1,   163) ={res}    0.32
{txt}{col 13}Prob > F ={res}    0.5739

{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}       187
{txt}{col 49}F({res}   8{txt},{res}    163{txt}){col 67}= {res}      1.07
{txt}{col 49}Prob > F{col 67}= {res}    0.3833
{txt}{col 49}R-squared{col 67}= {res}    0.0942
{txt}{col 49}Adj R-squared{col 67}= {res}   -0.0336
{txt}{col 49}Root MSE{col 67}= {res}    0.7003

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}e_h_ctzpre~z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2} -.134271{col 26}{space 2} .1034163{col 37}{space 1}   -1.30{col 46}{space 3}0.196{col 54}{space 4}-.3384793{col 67}{space 3} .0699373
{txt}b_h_ctzpre~z {c |}{col 14}{res}{space 2} .0079571{col 26}{space 2} .0641321{col 37}{space 1}    0.12{col 46}{space 3}0.901{col 54}{space 4}-.1186797{col 67}{space 3} .1345939
{txt}c_tf~_hc_hc2 {c |}{col 14}{res}{space 2}-.0584948{col 26}{space 2} .1591786{col 37}{space 1}   -0.37{col 46}{space 3}0.714{col 54}{space 4}-.3728128{col 67}{space 3} .2558233
{txt}c_tfull_hc~l {c |}{col 14}{res}{space 2} .0323762{col 26}{space 2} .1552813{col 37}{space 1}    0.21{col 46}{space 3}0.835{col 54}{space 4}-.2742462{col 67}{space 3} .3389986
{txt}c_tfull_hc~s {c |}{col 14}{res}{space 2} .3169935{col 26}{space 2} .1844047{col 37}{space 1}    1.72{col 46}{space 3}0.088{col 54}{space 4}-.0471364{col 67}{space 3} .6811235
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2}-.3642223{col 26}{space 2} .5401904{col 37}{space 1}   -0.67{col 46}{space 3}0.501{col 54}{space 4}-1.430896{col 67}{space 3}  .702451
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2} .0153474{col 26}{space 2} .0701729{col 37}{space 1}    0.22{col 46}{space 3}0.827{col 54}{space 4}-.1232177{col 67}{space 3} .1539126
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2}-.1248174{col 26}{space 2}  .212503{col 37}{space 1}   -0.59{col 46}{space 3}0.558{col 54}{space 4} -.544431{col 67}{space 3} .2947962
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} .0132367{col 26}{space 2}  .067043{col 37}{space 1}    0.20{col 46}{space 3}0.844{col 54}{space 4} -.119148{col 67}{space 3} .1456214
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull = .077{p_end}

{txt}       F(  1,   163) ={res}    4.17
{txt}{col 13}Prob > F ={res}    0.0427

{p 0 7}{space 1}{text:( 1)}{space 1} treatfull = -.077{p_end}

{txt}       F(  1,   163) ={res}    0.31
{txt}{col 13}Prob > F ={res}    0.5805

{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}       187
{txt}{col 49}F({res}   8{txt},{res}    163{txt}){col 67}= {res}      1.07
{txt}{col 49}Prob > F{col 67}= {res}    0.3833
{txt}{col 49}R-squared{col 67}= {res}    0.0942
{txt}{col 49}Adj R-squared{col 67}= {res}   -0.0336
{txt}{col 49}Root MSE{col 67}= {res}    0.7003

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}e_h_ctzpre~z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2} -.134271{col 26}{space 2} .1034163{col 37}{space 1}   -1.30{col 46}{space 3}0.196{col 54}{space 4}-.3384793{col 67}{space 3} .0699373
{txt}b_h_ctzpre~z {c |}{col 14}{res}{space 2} .0079571{col 26}{space 2} .0641321{col 37}{space 1}    0.12{col 46}{space 3}0.901{col 54}{space 4}-.1186797{col 67}{space 3} .1345939
{txt}c_tf~_hc_hc2 {c |}{col 14}{res}{space 2}-.0584948{col 26}{space 2} .1591786{col 37}{space 1}   -0.37{col 46}{space 3}0.714{col 54}{space 4}-.3728128{col 67}{space 3} .2558233
{txt}c_tfull_hc~l {c |}{col 14}{res}{space 2} .0323762{col 26}{space 2} .1552813{col 37}{space 1}    0.21{col 46}{space 3}0.835{col 54}{space 4}-.2742462{col 67}{space 3} .3389986
{txt}c_tfull_hc~s {c |}{col 14}{res}{space 2} .3169935{col 26}{space 2} .1844047{col 37}{space 1}    1.72{col 46}{space 3}0.088{col 54}{space 4}-.0471364{col 67}{space 3} .6811235
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2}-.3642223{col 26}{space 2} .5401904{col 37}{space 1}   -0.67{col 46}{space 3}0.501{col 54}{space 4}-1.430896{col 67}{space 3}  .702451
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2} .0153474{col 26}{space 2} .0701729{col 37}{space 1}    0.22{col 46}{space 3}0.827{col 54}{space 4}-.1232177{col 67}{space 3} .1539126
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2}-.1248174{col 26}{space 2}  .212503{col 37}{space 1}   -0.59{col 46}{space 3}0.558{col 54}{space 4} -.544431{col 67}{space 3} .2947962
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} .0132367{col 26}{space 2}  .067043{col 37}{space 1}    0.20{col 46}{space 3}0.844{col 54}{space 4} -.119148{col 67}{space 3} .1456214
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull = .078{p_end}

{txt}       F(  1,   163) ={res}    4.21
{txt}{col 13}Prob > F ={res}    0.0417

{p 0 7}{space 1}{text:( 1)}{space 1} treatfull = -.078{p_end}

{txt}       F(  1,   163) ={res}    0.30
{txt}{col 13}Prob > F ={res}    0.5871

{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}       187
{txt}{col 49}F({res}   8{txt},{res}    163{txt}){col 67}= {res}      1.07
{txt}{col 49}Prob > F{col 67}= {res}    0.3833
{txt}{col 49}R-squared{col 67}= {res}    0.0942
{txt}{col 49}Adj R-squared{col 67}= {res}   -0.0336
{txt}{col 49}Root MSE{col 67}= {res}    0.7003

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}e_h_ctzpre~z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2} -.134271{col 26}{space 2} .1034163{col 37}{space 1}   -1.30{col 46}{space 3}0.196{col 54}{space 4}-.3384793{col 67}{space 3} .0699373
{txt}b_h_ctzpre~z {c |}{col 14}{res}{space 2} .0079571{col 26}{space 2} .0641321{col 37}{space 1}    0.12{col 46}{space 3}0.901{col 54}{space 4}-.1186797{col 67}{space 3} .1345939
{txt}c_tf~_hc_hc2 {c |}{col 14}{res}{space 2}-.0584948{col 26}{space 2} .1591786{col 37}{space 1}   -0.37{col 46}{space 3}0.714{col 54}{space 4}-.3728128{col 67}{space 3} .2558233
{txt}c_tfull_hc~l {c |}{col 14}{res}{space 2} .0323762{col 26}{space 2} .1552813{col 37}{space 1}    0.21{col 46}{space 3}0.835{col 54}{space 4}-.2742462{col 67}{space 3} .3389986
{txt}c_tfull_hc~s {c |}{col 14}{res}{space 2} .3169935{col 26}{space 2} .1844047{col 37}{space 1}    1.72{col 46}{space 3}0.088{col 54}{space 4}-.0471364{col 67}{space 3} .6811235
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2}-.3642223{col 26}{space 2} .5401904{col 37}{space 1}   -0.67{col 46}{space 3}0.501{col 54}{space 4}-1.430896{col 67}{space 3}  .702451
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2} .0153474{col 26}{space 2} .0701729{col 37}{space 1}    0.22{col 46}{space 3}0.827{col 54}{space 4}-.1232177{col 67}{space 3} .1539126
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2}-.1248174{col 26}{space 2}  .212503{col 37}{space 1}   -0.59{col 46}{space 3}0.558{col 54}{space 4} -.544431{col 67}{space 3} .2947962
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} .0132367{col 26}{space 2}  .067043{col 37}{space 1}    0.20{col 46}{space 3}0.844{col 54}{space 4} -.119148{col 67}{space 3} .1456214
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull = .079{p_end}

{txt}       F(  1,   163) ={res}    4.25
{txt}{col 13}Prob > F ={res}    0.0408

{p 0 7}{space 1}{text:( 1)}{space 1} treatfull = -.079{p_end}

{txt}       F(  1,   163) ={res}    0.29
{txt}{col 13}Prob > F ={res}    0.5938

{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}       187
{txt}{col 49}F({res}   8{txt},{res}    163{txt}){col 67}= {res}      1.07
{txt}{col 49}Prob > F{col 67}= {res}    0.3833
{txt}{col 49}R-squared{col 67}= {res}    0.0942
{txt}{col 49}Adj R-squared{col 67}= {res}   -0.0336
{txt}{col 49}Root MSE{col 67}= {res}    0.7003

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}e_h_ctzpre~z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2} -.134271{col 26}{space 2} .1034163{col 37}{space 1}   -1.30{col 46}{space 3}0.196{col 54}{space 4}-.3384793{col 67}{space 3} .0699373
{txt}b_h_ctzpre~z {c |}{col 14}{res}{space 2} .0079571{col 26}{space 2} .0641321{col 37}{space 1}    0.12{col 46}{space 3}0.901{col 54}{space 4}-.1186797{col 67}{space 3} .1345939
{txt}c_tf~_hc_hc2 {c |}{col 14}{res}{space 2}-.0584948{col 26}{space 2} .1591786{col 37}{space 1}   -0.37{col 46}{space 3}0.714{col 54}{space 4}-.3728128{col 67}{space 3} .2558233
{txt}c_tfull_hc~l {c |}{col 14}{res}{space 2} .0323762{col 26}{space 2} .1552813{col 37}{space 1}    0.21{col 46}{space 3}0.835{col 54}{space 4}-.2742462{col 67}{space 3} .3389986
{txt}c_tfull_hc~s {c |}{col 14}{res}{space 2} .3169935{col 26}{space 2} .1844047{col 37}{space 1}    1.72{col 46}{space 3}0.088{col 54}{space 4}-.0471364{col 67}{space 3} .6811235
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2}-.3642223{col 26}{space 2} .5401904{col 37}{space 1}   -0.67{col 46}{space 3}0.501{col 54}{space 4}-1.430896{col 67}{space 3}  .702451
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2} .0153474{col 26}{space 2} .0701729{col 37}{space 1}    0.22{col 46}{space 3}0.827{col 54}{space 4}-.1232177{col 67}{space 3} .1539126
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2}-.1248174{col 26}{space 2}  .212503{col 37}{space 1}   -0.59{col 46}{space 3}0.558{col 54}{space 4} -.544431{col 67}{space 3} .2947962
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} .0132367{col 26}{space 2}  .067043{col 37}{space 1}    0.20{col 46}{space 3}0.844{col 54}{space 4} -.119148{col 67}{space 3} .1456214
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull = .08{p_end}

{txt}       F(  1,   163) ={res}    4.29
{txt}{col 13}Prob > F ={res}    0.0398

{p 0 7}{space 1}{text:( 1)}{space 1} treatfull = -.08{p_end}

{txt}       F(  1,   163) ={res}    0.28
{txt}{col 13}Prob > F ={res}    0.6004

{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}       187
{txt}{col 49}F({res}   8{txt},{res}    163{txt}){col 67}= {res}      1.07
{txt}{col 49}Prob > F{col 67}= {res}    0.3833
{txt}{col 49}R-squared{col 67}= {res}    0.0942
{txt}{col 49}Adj R-squared{col 67}= {res}   -0.0336
{txt}{col 49}Root MSE{col 67}= {res}    0.7003

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}e_h_ctzpre~z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2} -.134271{col 26}{space 2} .1034163{col 37}{space 1}   -1.30{col 46}{space 3}0.196{col 54}{space 4}-.3384793{col 67}{space 3} .0699373
{txt}b_h_ctzpre~z {c |}{col 14}{res}{space 2} .0079571{col 26}{space 2} .0641321{col 37}{space 1}    0.12{col 46}{space 3}0.901{col 54}{space 4}-.1186797{col 67}{space 3} .1345939
{txt}c_tf~_hc_hc2 {c |}{col 14}{res}{space 2}-.0584948{col 26}{space 2} .1591786{col 37}{space 1}   -0.37{col 46}{space 3}0.714{col 54}{space 4}-.3728128{col 67}{space 3} .2558233
{txt}c_tfull_hc~l {c |}{col 14}{res}{space 2} .0323762{col 26}{space 2} .1552813{col 37}{space 1}    0.21{col 46}{space 3}0.835{col 54}{space 4}-.2742462{col 67}{space 3} .3389986
{txt}c_tfull_hc~s {c |}{col 14}{res}{space 2} .3169935{col 26}{space 2} .1844047{col 37}{space 1}    1.72{col 46}{space 3}0.088{col 54}{space 4}-.0471364{col 67}{space 3} .6811235
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2}-.3642223{col 26}{space 2} .5401904{col 37}{space 1}   -0.67{col 46}{space 3}0.501{col 54}{space 4}-1.430896{col 67}{space 3}  .702451
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2} .0153474{col 26}{space 2} .0701729{col 37}{space 1}    0.22{col 46}{space 3}0.827{col 54}{space 4}-.1232177{col 67}{space 3} .1539126
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2}-.1248174{col 26}{space 2}  .212503{col 37}{space 1}   -0.59{col 46}{space 3}0.558{col 54}{space 4} -.544431{col 67}{space 3} .2947962
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} .0132367{col 26}{space 2}  .067043{col 37}{space 1}    0.20{col 46}{space 3}0.844{col 54}{space 4} -.119148{col 67}{space 3} .1456214
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull = .081{p_end}

{txt}       F(  1,   163) ={res}    4.33
{txt}{col 13}Prob > F ={res}    0.0389

{p 0 7}{space 1}{text:( 1)}{space 1} treatfull = -.081{p_end}

{txt}       F(  1,   163) ={res}    0.27
{txt}{col 13}Prob > F ={res}    0.6072

{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}       187
{txt}{col 49}F({res}   8{txt},{res}    163{txt}){col 67}= {res}      1.07
{txt}{col 49}Prob > F{col 67}= {res}    0.3833
{txt}{col 49}R-squared{col 67}= {res}    0.0942
{txt}{col 49}Adj R-squared{col 67}= {res}   -0.0336
{txt}{col 49}Root MSE{col 67}= {res}    0.7003

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}e_h_ctzpre~z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2} -.134271{col 26}{space 2} .1034163{col 37}{space 1}   -1.30{col 46}{space 3}0.196{col 54}{space 4}-.3384793{col 67}{space 3} .0699373
{txt}b_h_ctzpre~z {c |}{col 14}{res}{space 2} .0079571{col 26}{space 2} .0641321{col 37}{space 1}    0.12{col 46}{space 3}0.901{col 54}{space 4}-.1186797{col 67}{space 3} .1345939
{txt}c_tf~_hc_hc2 {c |}{col 14}{res}{space 2}-.0584948{col 26}{space 2} .1591786{col 37}{space 1}   -0.37{col 46}{space 3}0.714{col 54}{space 4}-.3728128{col 67}{space 3} .2558233
{txt}c_tfull_hc~l {c |}{col 14}{res}{space 2} .0323762{col 26}{space 2} .1552813{col 37}{space 1}    0.21{col 46}{space 3}0.835{col 54}{space 4}-.2742462{col 67}{space 3} .3389986
{txt}c_tfull_hc~s {c |}{col 14}{res}{space 2} .3169935{col 26}{space 2} .1844047{col 37}{space 1}    1.72{col 46}{space 3}0.088{col 54}{space 4}-.0471364{col 67}{space 3} .6811235
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2}-.3642223{col 26}{space 2} .5401904{col 37}{space 1}   -0.67{col 46}{space 3}0.501{col 54}{space 4}-1.430896{col 67}{space 3}  .702451
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2} .0153474{col 26}{space 2} .0701729{col 37}{space 1}    0.22{col 46}{space 3}0.827{col 54}{space 4}-.1232177{col 67}{space 3} .1539126
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2}-.1248174{col 26}{space 2}  .212503{col 37}{space 1}   -0.59{col 46}{space 3}0.558{col 54}{space 4} -.544431{col 67}{space 3} .2947962
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} .0132367{col 26}{space 2}  .067043{col 37}{space 1}    0.20{col 46}{space 3}0.844{col 54}{space 4} -.119148{col 67}{space 3} .1456214
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull = .082{p_end}

{txt}       F(  1,   163) ={res}    4.37
{txt}{col 13}Prob > F ={res}    0.0381

{p 0 7}{space 1}{text:( 1)}{space 1} treatfull = -.082{p_end}

{txt}       F(  1,   163) ={res}    0.26
{txt}{col 13}Prob > F ={res}    0.6139

{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}       187
{txt}{col 49}F({res}   8{txt},{res}    163{txt}){col 67}= {res}      1.07
{txt}{col 49}Prob > F{col 67}= {res}    0.3833
{txt}{col 49}R-squared{col 67}= {res}    0.0942
{txt}{col 49}Adj R-squared{col 67}= {res}   -0.0336
{txt}{col 49}Root MSE{col 67}= {res}    0.7003

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}e_h_ctzpre~z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2} -.134271{col 26}{space 2} .1034163{col 37}{space 1}   -1.30{col 46}{space 3}0.196{col 54}{space 4}-.3384793{col 67}{space 3} .0699373
{txt}b_h_ctzpre~z {c |}{col 14}{res}{space 2} .0079571{col 26}{space 2} .0641321{col 37}{space 1}    0.12{col 46}{space 3}0.901{col 54}{space 4}-.1186797{col 67}{space 3} .1345939
{txt}c_tf~_hc_hc2 {c |}{col 14}{res}{space 2}-.0584948{col 26}{space 2} .1591786{col 37}{space 1}   -0.37{col 46}{space 3}0.714{col 54}{space 4}-.3728128{col 67}{space 3} .2558233
{txt}c_tfull_hc~l {c |}{col 14}{res}{space 2} .0323762{col 26}{space 2} .1552813{col 37}{space 1}    0.21{col 46}{space 3}0.835{col 54}{space 4}-.2742462{col 67}{space 3} .3389986
{txt}c_tfull_hc~s {c |}{col 14}{res}{space 2} .3169935{col 26}{space 2} .1844047{col 37}{space 1}    1.72{col 46}{space 3}0.088{col 54}{space 4}-.0471364{col 67}{space 3} .6811235
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2}-.3642223{col 26}{space 2} .5401904{col 37}{space 1}   -0.67{col 46}{space 3}0.501{col 54}{space 4}-1.430896{col 67}{space 3}  .702451
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2} .0153474{col 26}{space 2} .0701729{col 37}{space 1}    0.22{col 46}{space 3}0.827{col 54}{space 4}-.1232177{col 67}{space 3} .1539126
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2}-.1248174{col 26}{space 2}  .212503{col 37}{space 1}   -0.59{col 46}{space 3}0.558{col 54}{space 4} -.544431{col 67}{space 3} .2947962
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} .0132367{col 26}{space 2}  .067043{col 37}{space 1}    0.20{col 46}{space 3}0.844{col 54}{space 4} -.119148{col 67}{space 3} .1456214
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull = .083{p_end}

{txt}       F(  1,   163) ={res}    4.41
{txt}{col 13}Prob > F ={res}    0.0372

{p 0 7}{space 1}{text:( 1)}{space 1} treatfull = -.083{p_end}

{txt}       F(  1,   163) ={res}    0.25
{txt}{col 13}Prob > F ={res}    0.6207

{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}       187
{txt}{col 49}F({res}   8{txt},{res}    163{txt}){col 67}= {res}      1.07
{txt}{col 49}Prob > F{col 67}= {res}    0.3833
{txt}{col 49}R-squared{col 67}= {res}    0.0942
{txt}{col 49}Adj R-squared{col 67}= {res}   -0.0336
{txt}{col 49}Root MSE{col 67}= {res}    0.7003

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}e_h_ctzpre~z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2} -.134271{col 26}{space 2} .1034163{col 37}{space 1}   -1.30{col 46}{space 3}0.196{col 54}{space 4}-.3384793{col 67}{space 3} .0699373
{txt}b_h_ctzpre~z {c |}{col 14}{res}{space 2} .0079571{col 26}{space 2} .0641321{col 37}{space 1}    0.12{col 46}{space 3}0.901{col 54}{space 4}-.1186797{col 67}{space 3} .1345939
{txt}c_tf~_hc_hc2 {c |}{col 14}{res}{space 2}-.0584948{col 26}{space 2} .1591786{col 37}{space 1}   -0.37{col 46}{space 3}0.714{col 54}{space 4}-.3728128{col 67}{space 3} .2558233
{txt}c_tfull_hc~l {c |}{col 14}{res}{space 2} .0323762{col 26}{space 2} .1552813{col 37}{space 1}    0.21{col 46}{space 3}0.835{col 54}{space 4}-.2742462{col 67}{space 3} .3389986
{txt}c_tfull_hc~s {c |}{col 14}{res}{space 2} .3169935{col 26}{space 2} .1844047{col 37}{space 1}    1.72{col 46}{space 3}0.088{col 54}{space 4}-.0471364{col 67}{space 3} .6811235
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2}-.3642223{col 26}{space 2} .5401904{col 37}{space 1}   -0.67{col 46}{space 3}0.501{col 54}{space 4}-1.430896{col 67}{space 3}  .702451
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2} .0153474{col 26}{space 2} .0701729{col 37}{space 1}    0.22{col 46}{space 3}0.827{col 54}{space 4}-.1232177{col 67}{space 3} .1539126
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2}-.1248174{col 26}{space 2}  .212503{col 37}{space 1}   -0.59{col 46}{space 3}0.558{col 54}{space 4} -.544431{col 67}{space 3} .2947962
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} .0132367{col 26}{space 2}  .067043{col 37}{space 1}    0.20{col 46}{space 3}0.844{col 54}{space 4} -.119148{col 67}{space 3} .1456214
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull = .084{p_end}

{txt}       F(  1,   163) ={res}    4.45
{txt}{col 13}Prob > F ={res}    0.0363

{p 0 7}{space 1}{text:( 1)}{space 1} treatfull = -.084{p_end}

{txt}       F(  1,   163) ={res}    0.24
{txt}{col 13}Prob > F ={res}    0.6275

{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}       187
{txt}{col 49}F({res}   8{txt},{res}    163{txt}){col 67}= {res}      1.07
{txt}{col 49}Prob > F{col 67}= {res}    0.3833
{txt}{col 49}R-squared{col 67}= {res}    0.0942
{txt}{col 49}Adj R-squared{col 67}= {res}   -0.0336
{txt}{col 49}Root MSE{col 67}= {res}    0.7003

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}e_h_ctzpre~z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2} -.134271{col 26}{space 2} .1034163{col 37}{space 1}   -1.30{col 46}{space 3}0.196{col 54}{space 4}-.3384793{col 67}{space 3} .0699373
{txt}b_h_ctzpre~z {c |}{col 14}{res}{space 2} .0079571{col 26}{space 2} .0641321{col 37}{space 1}    0.12{col 46}{space 3}0.901{col 54}{space 4}-.1186797{col 67}{space 3} .1345939
{txt}c_tf~_hc_hc2 {c |}{col 14}{res}{space 2}-.0584948{col 26}{space 2} .1591786{col 37}{space 1}   -0.37{col 46}{space 3}0.714{col 54}{space 4}-.3728128{col 67}{space 3} .2558233
{txt}c_tfull_hc~l {c |}{col 14}{res}{space 2} .0323762{col 26}{space 2} .1552813{col 37}{space 1}    0.21{col 46}{space 3}0.835{col 54}{space 4}-.2742462{col 67}{space 3} .3389986
{txt}c_tfull_hc~s {c |}{col 14}{res}{space 2} .3169935{col 26}{space 2} .1844047{col 37}{space 1}    1.72{col 46}{space 3}0.088{col 54}{space 4}-.0471364{col 67}{space 3} .6811235
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2}-.3642223{col 26}{space 2} .5401904{col 37}{space 1}   -0.67{col 46}{space 3}0.501{col 54}{space 4}-1.430896{col 67}{space 3}  .702451
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2} .0153474{col 26}{space 2} .0701729{col 37}{space 1}    0.22{col 46}{space 3}0.827{col 54}{space 4}-.1232177{col 67}{space 3} .1539126
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2}-.1248174{col 26}{space 2}  .212503{col 37}{space 1}   -0.59{col 46}{space 3}0.558{col 54}{space 4} -.544431{col 67}{space 3} .2947962
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} .0132367{col 26}{space 2}  .067043{col 37}{space 1}    0.20{col 46}{space 3}0.844{col 54}{space 4} -.119148{col 67}{space 3} .1456214
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull = .085{p_end}

{txt}       F(  1,   163) ={res}    4.50
{txt}{col 13}Prob > F ={res}    0.0355

{p 0 7}{space 1}{text:( 1)}{space 1} treatfull = -.085{p_end}

{txt}       F(  1,   163) ={res}    0.23
{txt}{col 13}Prob > F ={res}    0.6344

{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}       187
{txt}{col 49}F({res}   8{txt},{res}    163{txt}){col 67}= {res}      1.07
{txt}{col 49}Prob > F{col 67}= {res}    0.3833
{txt}{col 49}R-squared{col 67}= {res}    0.0942
{txt}{col 49}Adj R-squared{col 67}= {res}   -0.0336
{txt}{col 49}Root MSE{col 67}= {res}    0.7003

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}e_h_ctzpre~z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2} -.134271{col 26}{space 2} .1034163{col 37}{space 1}   -1.30{col 46}{space 3}0.196{col 54}{space 4}-.3384793{col 67}{space 3} .0699373
{txt}b_h_ctzpre~z {c |}{col 14}{res}{space 2} .0079571{col 26}{space 2} .0641321{col 37}{space 1}    0.12{col 46}{space 3}0.901{col 54}{space 4}-.1186797{col 67}{space 3} .1345939
{txt}c_tf~_hc_hc2 {c |}{col 14}{res}{space 2}-.0584948{col 26}{space 2} .1591786{col 37}{space 1}   -0.37{col 46}{space 3}0.714{col 54}{space 4}-.3728128{col 67}{space 3} .2558233
{txt}c_tfull_hc~l {c |}{col 14}{res}{space 2} .0323762{col 26}{space 2} .1552813{col 37}{space 1}    0.21{col 46}{space 3}0.835{col 54}{space 4}-.2742462{col 67}{space 3} .3389986
{txt}c_tfull_hc~s {c |}{col 14}{res}{space 2} .3169935{col 26}{space 2} .1844047{col 37}{space 1}    1.72{col 46}{space 3}0.088{col 54}{space 4}-.0471364{col 67}{space 3} .6811235
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2}-.3642223{col 26}{space 2} .5401904{col 37}{space 1}   -0.67{col 46}{space 3}0.501{col 54}{space 4}-1.430896{col 67}{space 3}  .702451
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2} .0153474{col 26}{space 2} .0701729{col 37}{space 1}    0.22{col 46}{space 3}0.827{col 54}{space 4}-.1232177{col 67}{space 3} .1539126
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2}-.1248174{col 26}{space 2}  .212503{col 37}{space 1}   -0.59{col 46}{space 3}0.558{col 54}{space 4} -.544431{col 67}{space 3} .2947962
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} .0132367{col 26}{space 2}  .067043{col 37}{space 1}    0.20{col 46}{space 3}0.844{col 54}{space 4} -.119148{col 67}{space 3} .1456214
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull = .086{p_end}

{txt}       F(  1,   163) ={res}    4.54
{txt}{col 13}Prob > F ={res}    0.0347

{p 0 7}{space 1}{text:( 1)}{space 1} treatfull = -.086{p_end}

{txt}       F(  1,   163) ={res}    0.22
{txt}{col 13}Prob > F ={res}    0.6413

{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}       187
{txt}{col 49}F({res}   8{txt},{res}    163{txt}){col 67}= {res}      1.07
{txt}{col 49}Prob > F{col 67}= {res}    0.3833
{txt}{col 49}R-squared{col 67}= {res}    0.0942
{txt}{col 49}Adj R-squared{col 67}= {res}   -0.0336
{txt}{col 49}Root MSE{col 67}= {res}    0.7003

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}e_h_ctzpre~z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2} -.134271{col 26}{space 2} .1034163{col 37}{space 1}   -1.30{col 46}{space 3}0.196{col 54}{space 4}-.3384793{col 67}{space 3} .0699373
{txt}b_h_ctzpre~z {c |}{col 14}{res}{space 2} .0079571{col 26}{space 2} .0641321{col 37}{space 1}    0.12{col 46}{space 3}0.901{col 54}{space 4}-.1186797{col 67}{space 3} .1345939
{txt}c_tf~_hc_hc2 {c |}{col 14}{res}{space 2}-.0584948{col 26}{space 2} .1591786{col 37}{space 1}   -0.37{col 46}{space 3}0.714{col 54}{space 4}-.3728128{col 67}{space 3} .2558233
{txt}c_tfull_hc~l {c |}{col 14}{res}{space 2} .0323762{col 26}{space 2} .1552813{col 37}{space 1}    0.21{col 46}{space 3}0.835{col 54}{space 4}-.2742462{col 67}{space 3} .3389986
{txt}c_tfull_hc~s {c |}{col 14}{res}{space 2} .3169935{col 26}{space 2} .1844047{col 37}{space 1}    1.72{col 46}{space 3}0.088{col 54}{space 4}-.0471364{col 67}{space 3} .6811235
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2}-.3642223{col 26}{space 2} .5401904{col 37}{space 1}   -0.67{col 46}{space 3}0.501{col 54}{space 4}-1.430896{col 67}{space 3}  .702451
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2} .0153474{col 26}{space 2} .0701729{col 37}{space 1}    0.22{col 46}{space 3}0.827{col 54}{space 4}-.1232177{col 67}{space 3} .1539126
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2}-.1248174{col 26}{space 2}  .212503{col 37}{space 1}   -0.59{col 46}{space 3}0.558{col 54}{space 4} -.544431{col 67}{space 3} .2947962
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} .0132367{col 26}{space 2}  .067043{col 37}{space 1}    0.20{col 46}{space 3}0.844{col 54}{space 4} -.119148{col 67}{space 3} .1456214
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull = .087{p_end}

{txt}       F(  1,   163) ={res}    4.58
{txt}{col 13}Prob > F ={res}    0.0339

{p 0 7}{space 1}{text:( 1)}{space 1} treatfull = -.087{p_end}

{txt}       F(  1,   163) ={res}    0.21
{txt}{col 13}Prob > F ={res}    0.6482

{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}       187
{txt}{col 49}F({res}   8{txt},{res}    163{txt}){col 67}= {res}      1.07
{txt}{col 49}Prob > F{col 67}= {res}    0.3833
{txt}{col 49}R-squared{col 67}= {res}    0.0942
{txt}{col 49}Adj R-squared{col 67}= {res}   -0.0336
{txt}{col 49}Root MSE{col 67}= {res}    0.7003

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}e_h_ctzpre~z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2} -.134271{col 26}{space 2} .1034163{col 37}{space 1}   -1.30{col 46}{space 3}0.196{col 54}{space 4}-.3384793{col 67}{space 3} .0699373
{txt}b_h_ctzpre~z {c |}{col 14}{res}{space 2} .0079571{col 26}{space 2} .0641321{col 37}{space 1}    0.12{col 46}{space 3}0.901{col 54}{space 4}-.1186797{col 67}{space 3} .1345939
{txt}c_tf~_hc_hc2 {c |}{col 14}{res}{space 2}-.0584948{col 26}{space 2} .1591786{col 37}{space 1}   -0.37{col 46}{space 3}0.714{col 54}{space 4}-.3728128{col 67}{space 3} .2558233
{txt}c_tfull_hc~l {c |}{col 14}{res}{space 2} .0323762{col 26}{space 2} .1552813{col 37}{space 1}    0.21{col 46}{space 3}0.835{col 54}{space 4}-.2742462{col 67}{space 3} .3389986
{txt}c_tfull_hc~s {c |}{col 14}{res}{space 2} .3169935{col 26}{space 2} .1844047{col 37}{space 1}    1.72{col 46}{space 3}0.088{col 54}{space 4}-.0471364{col 67}{space 3} .6811235
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2}-.3642223{col 26}{space 2} .5401904{col 37}{space 1}   -0.67{col 46}{space 3}0.501{col 54}{space 4}-1.430896{col 67}{space 3}  .702451
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2} .0153474{col 26}{space 2} .0701729{col 37}{space 1}    0.22{col 46}{space 3}0.827{col 54}{space 4}-.1232177{col 67}{space 3} .1539126
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2}-.1248174{col 26}{space 2}  .212503{col 37}{space 1}   -0.59{col 46}{space 3}0.558{col 54}{space 4} -.544431{col 67}{space 3} .2947962
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} .0132367{col 26}{space 2}  .067043{col 37}{space 1}    0.20{col 46}{space 3}0.844{col 54}{space 4} -.119148{col 67}{space 3} .1456214
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull = .088{p_end}

{txt}       F(  1,   163) ={res}    4.62
{txt}{col 13}Prob > F ={res}    0.0331

{p 0 7}{space 1}{text:( 1)}{space 1} treatfull = -.088{p_end}

{txt}       F(  1,   163) ={res}    0.20
{txt}{col 13}Prob > F ={res}    0.6552

{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}       187
{txt}{col 49}F({res}   8{txt},{res}    163{txt}){col 67}= {res}      1.07
{txt}{col 49}Prob > F{col 67}= {res}    0.3833
{txt}{col 49}R-squared{col 67}= {res}    0.0942
{txt}{col 49}Adj R-squared{col 67}= {res}   -0.0336
{txt}{col 49}Root MSE{col 67}= {res}    0.7003

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}e_h_ctzpre~z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2} -.134271{col 26}{space 2} .1034163{col 37}{space 1}   -1.30{col 46}{space 3}0.196{col 54}{space 4}-.3384793{col 67}{space 3} .0699373
{txt}b_h_ctzpre~z {c |}{col 14}{res}{space 2} .0079571{col 26}{space 2} .0641321{col 37}{space 1}    0.12{col 46}{space 3}0.901{col 54}{space 4}-.1186797{col 67}{space 3} .1345939
{txt}c_tf~_hc_hc2 {c |}{col 14}{res}{space 2}-.0584948{col 26}{space 2} .1591786{col 37}{space 1}   -0.37{col 46}{space 3}0.714{col 54}{space 4}-.3728128{col 67}{space 3} .2558233
{txt}c_tfull_hc~l {c |}{col 14}{res}{space 2} .0323762{col 26}{space 2} .1552813{col 37}{space 1}    0.21{col 46}{space 3}0.835{col 54}{space 4}-.2742462{col 67}{space 3} .3389986
{txt}c_tfull_hc~s {c |}{col 14}{res}{space 2} .3169935{col 26}{space 2} .1844047{col 37}{space 1}    1.72{col 46}{space 3}0.088{col 54}{space 4}-.0471364{col 67}{space 3} .6811235
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2}-.3642223{col 26}{space 2} .5401904{col 37}{space 1}   -0.67{col 46}{space 3}0.501{col 54}{space 4}-1.430896{col 67}{space 3}  .702451
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2} .0153474{col 26}{space 2} .0701729{col 37}{space 1}    0.22{col 46}{space 3}0.827{col 54}{space 4}-.1232177{col 67}{space 3} .1539126
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2}-.1248174{col 26}{space 2}  .212503{col 37}{space 1}   -0.59{col 46}{space 3}0.558{col 54}{space 4} -.544431{col 67}{space 3} .2947962
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} .0132367{col 26}{space 2}  .067043{col 37}{space 1}    0.20{col 46}{space 3}0.844{col 54}{space 4} -.119148{col 67}{space 3} .1456214
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull = .089{p_end}

{txt}       F(  1,   163) ={res}    4.66
{txt}{col 13}Prob > F ={res}    0.0323

{p 0 7}{space 1}{text:( 1)}{space 1} treatfull = -.089{p_end}

{txt}       F(  1,   163) ={res}    0.19
{txt}{col 13}Prob > F ={res}    0.6621

{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}       187
{txt}{col 49}F({res}   8{txt},{res}    163{txt}){col 67}= {res}      1.07
{txt}{col 49}Prob > F{col 67}= {res}    0.3833
{txt}{col 49}R-squared{col 67}= {res}    0.0942
{txt}{col 49}Adj R-squared{col 67}= {res}   -0.0336
{txt}{col 49}Root MSE{col 67}= {res}    0.7003

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}e_h_ctzpre~z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2} -.134271{col 26}{space 2} .1034163{col 37}{space 1}   -1.30{col 46}{space 3}0.196{col 54}{space 4}-.3384793{col 67}{space 3} .0699373
{txt}b_h_ctzpre~z {c |}{col 14}{res}{space 2} .0079571{col 26}{space 2} .0641321{col 37}{space 1}    0.12{col 46}{space 3}0.901{col 54}{space 4}-.1186797{col 67}{space 3} .1345939
{txt}c_tf~_hc_hc2 {c |}{col 14}{res}{space 2}-.0584948{col 26}{space 2} .1591786{col 37}{space 1}   -0.37{col 46}{space 3}0.714{col 54}{space 4}-.3728128{col 67}{space 3} .2558233
{txt}c_tfull_hc~l {c |}{col 14}{res}{space 2} .0323762{col 26}{space 2} .1552813{col 37}{space 1}    0.21{col 46}{space 3}0.835{col 54}{space 4}-.2742462{col 67}{space 3} .3389986
{txt}c_tfull_hc~s {c |}{col 14}{res}{space 2} .3169935{col 26}{space 2} .1844047{col 37}{space 1}    1.72{col 46}{space 3}0.088{col 54}{space 4}-.0471364{col 67}{space 3} .6811235
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2}-.3642223{col 26}{space 2} .5401904{col 37}{space 1}   -0.67{col 46}{space 3}0.501{col 54}{space 4}-1.430896{col 67}{space 3}  .702451
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2} .0153474{col 26}{space 2} .0701729{col 37}{space 1}    0.22{col 46}{space 3}0.827{col 54}{space 4}-.1232177{col 67}{space 3} .1539126
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2}-.1248174{col 26}{space 2}  .212503{col 37}{space 1}   -0.59{col 46}{space 3}0.558{col 54}{space 4} -.544431{col 67}{space 3} .2947962
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} .0132367{col 26}{space 2}  .067043{col 37}{space 1}    0.20{col 46}{space 3}0.844{col 54}{space 4} -.119148{col 67}{space 3} .1456214
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull = .09{p_end}

{txt}       F(  1,   163) ={res}    4.70
{txt}{col 13}Prob > F ={res}    0.0316

{p 0 7}{space 1}{text:( 1)}{space 1} treatfull = -.09{p_end}

{txt}       F(  1,   163) ={res}    0.18
{txt}{col 13}Prob > F ={res}    0.6692

{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}       187
{txt}{col 49}F({res}   8{txt},{res}    163{txt}){col 67}= {res}      1.07
{txt}{col 49}Prob > F{col 67}= {res}    0.3833
{txt}{col 49}R-squared{col 67}= {res}    0.0942
{txt}{col 49}Adj R-squared{col 67}= {res}   -0.0336
{txt}{col 49}Root MSE{col 67}= {res}    0.7003

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}e_h_ctzpre~z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2} -.134271{col 26}{space 2} .1034163{col 37}{space 1}   -1.30{col 46}{space 3}0.196{col 54}{space 4}-.3384793{col 67}{space 3} .0699373
{txt}b_h_ctzpre~z {c |}{col 14}{res}{space 2} .0079571{col 26}{space 2} .0641321{col 37}{space 1}    0.12{col 46}{space 3}0.901{col 54}{space 4}-.1186797{col 67}{space 3} .1345939
{txt}c_tf~_hc_hc2 {c |}{col 14}{res}{space 2}-.0584948{col 26}{space 2} .1591786{col 37}{space 1}   -0.37{col 46}{space 3}0.714{col 54}{space 4}-.3728128{col 67}{space 3} .2558233
{txt}c_tfull_hc~l {c |}{col 14}{res}{space 2} .0323762{col 26}{space 2} .1552813{col 37}{space 1}    0.21{col 46}{space 3}0.835{col 54}{space 4}-.2742462{col 67}{space 3} .3389986
{txt}c_tfull_hc~s {c |}{col 14}{res}{space 2} .3169935{col 26}{space 2} .1844047{col 37}{space 1}    1.72{col 46}{space 3}0.088{col 54}{space 4}-.0471364{col 67}{space 3} .6811235
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2}-.3642223{col 26}{space 2} .5401904{col 37}{space 1}   -0.67{col 46}{space 3}0.501{col 54}{space 4}-1.430896{col 67}{space 3}  .702451
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2} .0153474{col 26}{space 2} .0701729{col 37}{space 1}    0.22{col 46}{space 3}0.827{col 54}{space 4}-.1232177{col 67}{space 3} .1539126
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2}-.1248174{col 26}{space 2}  .212503{col 37}{space 1}   -0.59{col 46}{space 3}0.558{col 54}{space 4} -.544431{col 67}{space 3} .2947962
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} .0132367{col 26}{space 2}  .067043{col 37}{space 1}    0.20{col 46}{space 3}0.844{col 54}{space 4} -.119148{col 67}{space 3} .1456214
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull = .091{p_end}

{txt}       F(  1,   163) ={res}    4.74
{txt}{col 13}Prob > F ={res}    0.0308

{p 0 7}{space 1}{text:( 1)}{space 1} treatfull = -.091{p_end}

{txt}       F(  1,   163) ={res}    0.18
{txt}{col 13}Prob > F ={res}    0.6762

{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}       187
{txt}{col 49}F({res}   8{txt},{res}    163{txt}){col 67}= {res}      1.07
{txt}{col 49}Prob > F{col 67}= {res}    0.3833
{txt}{col 49}R-squared{col 67}= {res}    0.0942
{txt}{col 49}Adj R-squared{col 67}= {res}   -0.0336
{txt}{col 49}Root MSE{col 67}= {res}    0.7003

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}e_h_ctzpre~z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2} -.134271{col 26}{space 2} .1034163{col 37}{space 1}   -1.30{col 46}{space 3}0.196{col 54}{space 4}-.3384793{col 67}{space 3} .0699373
{txt}b_h_ctzpre~z {c |}{col 14}{res}{space 2} .0079571{col 26}{space 2} .0641321{col 37}{space 1}    0.12{col 46}{space 3}0.901{col 54}{space 4}-.1186797{col 67}{space 3} .1345939
{txt}c_tf~_hc_hc2 {c |}{col 14}{res}{space 2}-.0584948{col 26}{space 2} .1591786{col 37}{space 1}   -0.37{col 46}{space 3}0.714{col 54}{space 4}-.3728128{col 67}{space 3} .2558233
{txt}c_tfull_hc~l {c |}{col 14}{res}{space 2} .0323762{col 26}{space 2} .1552813{col 37}{space 1}    0.21{col 46}{space 3}0.835{col 54}{space 4}-.2742462{col 67}{space 3} .3389986
{txt}c_tfull_hc~s {c |}{col 14}{res}{space 2} .3169935{col 26}{space 2} .1844047{col 37}{space 1}    1.72{col 46}{space 3}0.088{col 54}{space 4}-.0471364{col 67}{space 3} .6811235
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2}-.3642223{col 26}{space 2} .5401904{col 37}{space 1}   -0.67{col 46}{space 3}0.501{col 54}{space 4}-1.430896{col 67}{space 3}  .702451
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2} .0153474{col 26}{space 2} .0701729{col 37}{space 1}    0.22{col 46}{space 3}0.827{col 54}{space 4}-.1232177{col 67}{space 3} .1539126
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2}-.1248174{col 26}{space 2}  .212503{col 37}{space 1}   -0.59{col 46}{space 3}0.558{col 54}{space 4} -.544431{col 67}{space 3} .2947962
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} .0132367{col 26}{space 2}  .067043{col 37}{space 1}    0.20{col 46}{space 3}0.844{col 54}{space 4} -.119148{col 67}{space 3} .1456214
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull = .092{p_end}

{txt}       F(  1,   163) ={res}    4.79
{txt}{col 13}Prob > F ={res}    0.0301

{p 0 7}{space 1}{text:( 1)}{space 1} treatfull = -.092{p_end}

{txt}       F(  1,   163) ={res}    0.17
{txt}{col 13}Prob > F ={res}    0.6833

{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}       187
{txt}{col 49}F({res}   8{txt},{res}    163{txt}){col 67}= {res}      1.07
{txt}{col 49}Prob > F{col 67}= {res}    0.3833
{txt}{col 49}R-squared{col 67}= {res}    0.0942
{txt}{col 49}Adj R-squared{col 67}= {res}   -0.0336
{txt}{col 49}Root MSE{col 67}= {res}    0.7003

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}e_h_ctzpre~z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2} -.134271{col 26}{space 2} .1034163{col 37}{space 1}   -1.30{col 46}{space 3}0.196{col 54}{space 4}-.3384793{col 67}{space 3} .0699373
{txt}b_h_ctzpre~z {c |}{col 14}{res}{space 2} .0079571{col 26}{space 2} .0641321{col 37}{space 1}    0.12{col 46}{space 3}0.901{col 54}{space 4}-.1186797{col 67}{space 3} .1345939
{txt}c_tf~_hc_hc2 {c |}{col 14}{res}{space 2}-.0584948{col 26}{space 2} .1591786{col 37}{space 1}   -0.37{col 46}{space 3}0.714{col 54}{space 4}-.3728128{col 67}{space 3} .2558233
{txt}c_tfull_hc~l {c |}{col 14}{res}{space 2} .0323762{col 26}{space 2} .1552813{col 37}{space 1}    0.21{col 46}{space 3}0.835{col 54}{space 4}-.2742462{col 67}{space 3} .3389986
{txt}c_tfull_hc~s {c |}{col 14}{res}{space 2} .3169935{col 26}{space 2} .1844047{col 37}{space 1}    1.72{col 46}{space 3}0.088{col 54}{space 4}-.0471364{col 67}{space 3} .6811235
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2}-.3642223{col 26}{space 2} .5401904{col 37}{space 1}   -0.67{col 46}{space 3}0.501{col 54}{space 4}-1.430896{col 67}{space 3}  .702451
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2} .0153474{col 26}{space 2} .0701729{col 37}{space 1}    0.22{col 46}{space 3}0.827{col 54}{space 4}-.1232177{col 67}{space 3} .1539126
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2}-.1248174{col 26}{space 2}  .212503{col 37}{space 1}   -0.59{col 46}{space 3}0.558{col 54}{space 4} -.544431{col 67}{space 3} .2947962
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} .0132367{col 26}{space 2}  .067043{col 37}{space 1}    0.20{col 46}{space 3}0.844{col 54}{space 4} -.119148{col 67}{space 3} .1456214
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull = .093{p_end}

{txt}       F(  1,   163) ={res}    4.83
{txt}{col 13}Prob > F ={res}    0.0294

{p 0 7}{space 1}{text:( 1)}{space 1} treatfull = -.093{p_end}

{txt}       F(  1,   163) ={res}    0.16
{txt}{col 13}Prob > F ={res}    0.6904

{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}       187
{txt}{col 49}F({res}   8{txt},{res}    163{txt}){col 67}= {res}      1.07
{txt}{col 49}Prob > F{col 67}= {res}    0.3833
{txt}{col 49}R-squared{col 67}= {res}    0.0942
{txt}{col 49}Adj R-squared{col 67}= {res}   -0.0336
{txt}{col 49}Root MSE{col 67}= {res}    0.7003

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}e_h_ctzpre~z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2} -.134271{col 26}{space 2} .1034163{col 37}{space 1}   -1.30{col 46}{space 3}0.196{col 54}{space 4}-.3384793{col 67}{space 3} .0699373
{txt}b_h_ctzpre~z {c |}{col 14}{res}{space 2} .0079571{col 26}{space 2} .0641321{col 37}{space 1}    0.12{col 46}{space 3}0.901{col 54}{space 4}-.1186797{col 67}{space 3} .1345939
{txt}c_tf~_hc_hc2 {c |}{col 14}{res}{space 2}-.0584948{col 26}{space 2} .1591786{col 37}{space 1}   -0.37{col 46}{space 3}0.714{col 54}{space 4}-.3728128{col 67}{space 3} .2558233
{txt}c_tfull_hc~l {c |}{col 14}{res}{space 2} .0323762{col 26}{space 2} .1552813{col 37}{space 1}    0.21{col 46}{space 3}0.835{col 54}{space 4}-.2742462{col 67}{space 3} .3389986
{txt}c_tfull_hc~s {c |}{col 14}{res}{space 2} .3169935{col 26}{space 2} .1844047{col 37}{space 1}    1.72{col 46}{space 3}0.088{col 54}{space 4}-.0471364{col 67}{space 3} .6811235
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2}-.3642223{col 26}{space 2} .5401904{col 37}{space 1}   -0.67{col 46}{space 3}0.501{col 54}{space 4}-1.430896{col 67}{space 3}  .702451
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2} .0153474{col 26}{space 2} .0701729{col 37}{space 1}    0.22{col 46}{space 3}0.827{col 54}{space 4}-.1232177{col 67}{space 3} .1539126
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2}-.1248174{col 26}{space 2}  .212503{col 37}{space 1}   -0.59{col 46}{space 3}0.558{col 54}{space 4} -.544431{col 67}{space 3} .2947962
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} .0132367{col 26}{space 2}  .067043{col 37}{space 1}    0.20{col 46}{space 3}0.844{col 54}{space 4} -.119148{col 67}{space 3} .1456214
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull = .094{p_end}

{txt}       F(  1,   163) ={res}    4.87
{txt}{col 13}Prob > F ={res}    0.0287

{p 0 7}{space 1}{text:( 1)}{space 1} treatfull = -.094{p_end}

{txt}       F(  1,   163) ={res}    0.15
{txt}{col 13}Prob > F ={res}    0.6975

{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}       187
{txt}{col 49}F({res}   8{txt},{res}    163{txt}){col 67}= {res}      1.07
{txt}{col 49}Prob > F{col 67}= {res}    0.3833
{txt}{col 49}R-squared{col 67}= {res}    0.0942
{txt}{col 49}Adj R-squared{col 67}= {res}   -0.0336
{txt}{col 49}Root MSE{col 67}= {res}    0.7003

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}e_h_ctzpre~z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2} -.134271{col 26}{space 2} .1034163{col 37}{space 1}   -1.30{col 46}{space 3}0.196{col 54}{space 4}-.3384793{col 67}{space 3} .0699373
{txt}b_h_ctzpre~z {c |}{col 14}{res}{space 2} .0079571{col 26}{space 2} .0641321{col 37}{space 1}    0.12{col 46}{space 3}0.901{col 54}{space 4}-.1186797{col 67}{space 3} .1345939
{txt}c_tf~_hc_hc2 {c |}{col 14}{res}{space 2}-.0584948{col 26}{space 2} .1591786{col 37}{space 1}   -0.37{col 46}{space 3}0.714{col 54}{space 4}-.3728128{col 67}{space 3} .2558233
{txt}c_tfull_hc~l {c |}{col 14}{res}{space 2} .0323762{col 26}{space 2} .1552813{col 37}{space 1}    0.21{col 46}{space 3}0.835{col 54}{space 4}-.2742462{col 67}{space 3} .3389986
{txt}c_tfull_hc~s {c |}{col 14}{res}{space 2} .3169935{col 26}{space 2} .1844047{col 37}{space 1}    1.72{col 46}{space 3}0.088{col 54}{space 4}-.0471364{col 67}{space 3} .6811235
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2}-.3642223{col 26}{space 2} .5401904{col 37}{space 1}   -0.67{col 46}{space 3}0.501{col 54}{space 4}-1.430896{col 67}{space 3}  .702451
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2} .0153474{col 26}{space 2} .0701729{col 37}{space 1}    0.22{col 46}{space 3}0.827{col 54}{space 4}-.1232177{col 67}{space 3} .1539126
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2}-.1248174{col 26}{space 2}  .212503{col 37}{space 1}   -0.59{col 46}{space 3}0.558{col 54}{space 4} -.544431{col 67}{space 3} .2947962
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} .0132367{col 26}{space 2}  .067043{col 37}{space 1}    0.20{col 46}{space 3}0.844{col 54}{space 4} -.119148{col 67}{space 3} .1456214
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull = .095{p_end}

{txt}       F(  1,   163) ={res}    4.91
{txt}{col 13}Prob > F ={res}    0.0280

{p 0 7}{space 1}{text:( 1)}{space 1} treatfull = -.095{p_end}

{txt}       F(  1,   163) ={res}    0.14
{txt}{col 13}Prob > F ={res}    0.7046

{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}       187
{txt}{col 49}F({res}   8{txt},{res}    163{txt}){col 67}= {res}      1.07
{txt}{col 49}Prob > F{col 67}= {res}    0.3833
{txt}{col 49}R-squared{col 67}= {res}    0.0942
{txt}{col 49}Adj R-squared{col 67}= {res}   -0.0336
{txt}{col 49}Root MSE{col 67}= {res}    0.7003

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}e_h_ctzpre~z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2} -.134271{col 26}{space 2} .1034163{col 37}{space 1}   -1.30{col 46}{space 3}0.196{col 54}{space 4}-.3384793{col 67}{space 3} .0699373
{txt}b_h_ctzpre~z {c |}{col 14}{res}{space 2} .0079571{col 26}{space 2} .0641321{col 37}{space 1}    0.12{col 46}{space 3}0.901{col 54}{space 4}-.1186797{col 67}{space 3} .1345939
{txt}c_tf~_hc_hc2 {c |}{col 14}{res}{space 2}-.0584948{col 26}{space 2} .1591786{col 37}{space 1}   -0.37{col 46}{space 3}0.714{col 54}{space 4}-.3728128{col 67}{space 3} .2558233
{txt}c_tfull_hc~l {c |}{col 14}{res}{space 2} .0323762{col 26}{space 2} .1552813{col 37}{space 1}    0.21{col 46}{space 3}0.835{col 54}{space 4}-.2742462{col 67}{space 3} .3389986
{txt}c_tfull_hc~s {c |}{col 14}{res}{space 2} .3169935{col 26}{space 2} .1844047{col 37}{space 1}    1.72{col 46}{space 3}0.088{col 54}{space 4}-.0471364{col 67}{space 3} .6811235
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2}-.3642223{col 26}{space 2} .5401904{col 37}{space 1}   -0.67{col 46}{space 3}0.501{col 54}{space 4}-1.430896{col 67}{space 3}  .702451
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2} .0153474{col 26}{space 2} .0701729{col 37}{space 1}    0.22{col 46}{space 3}0.827{col 54}{space 4}-.1232177{col 67}{space 3} .1539126
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2}-.1248174{col 26}{space 2}  .212503{col 37}{space 1}   -0.59{col 46}{space 3}0.558{col 54}{space 4} -.544431{col 67}{space 3} .2947962
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} .0132367{col 26}{space 2}  .067043{col 37}{space 1}    0.20{col 46}{space 3}0.844{col 54}{space 4} -.119148{col 67}{space 3} .1456214
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull = .096{p_end}

{txt}       F(  1,   163) ={res}    4.96
{txt}{col 13}Prob > F ={res}    0.0273

{p 0 7}{space 1}{text:( 1)}{space 1} treatfull = -.096{p_end}

{txt}       F(  1,   163) ={res}    0.14
{txt}{col 13}Prob > F ={res}    0.7118

{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}       187
{txt}{col 49}F({res}   8{txt},{res}    163{txt}){col 67}= {res}      1.07
{txt}{col 49}Prob > F{col 67}= {res}    0.3833
{txt}{col 49}R-squared{col 67}= {res}    0.0942
{txt}{col 49}Adj R-squared{col 67}= {res}   -0.0336
{txt}{col 49}Root MSE{col 67}= {res}    0.7003

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}e_h_ctzpre~z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2} -.134271{col 26}{space 2} .1034163{col 37}{space 1}   -1.30{col 46}{space 3}0.196{col 54}{space 4}-.3384793{col 67}{space 3} .0699373
{txt}b_h_ctzpre~z {c |}{col 14}{res}{space 2} .0079571{col 26}{space 2} .0641321{col 37}{space 1}    0.12{col 46}{space 3}0.901{col 54}{space 4}-.1186797{col 67}{space 3} .1345939
{txt}c_tf~_hc_hc2 {c |}{col 14}{res}{space 2}-.0584948{col 26}{space 2} .1591786{col 37}{space 1}   -0.37{col 46}{space 3}0.714{col 54}{space 4}-.3728128{col 67}{space 3} .2558233
{txt}c_tfull_hc~l {c |}{col 14}{res}{space 2} .0323762{col 26}{space 2} .1552813{col 37}{space 1}    0.21{col 46}{space 3}0.835{col 54}{space 4}-.2742462{col 67}{space 3} .3389986
{txt}c_tfull_hc~s {c |}{col 14}{res}{space 2} .3169935{col 26}{space 2} .1844047{col 37}{space 1}    1.72{col 46}{space 3}0.088{col 54}{space 4}-.0471364{col 67}{space 3} .6811235
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2}-.3642223{col 26}{space 2} .5401904{col 37}{space 1}   -0.67{col 46}{space 3}0.501{col 54}{space 4}-1.430896{col 67}{space 3}  .702451
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2} .0153474{col 26}{space 2} .0701729{col 37}{space 1}    0.22{col 46}{space 3}0.827{col 54}{space 4}-.1232177{col 67}{space 3} .1539126
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2}-.1248174{col 26}{space 2}  .212503{col 37}{space 1}   -0.59{col 46}{space 3}0.558{col 54}{space 4} -.544431{col 67}{space 3} .2947962
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} .0132367{col 26}{space 2}  .067043{col 37}{space 1}    0.20{col 46}{space 3}0.844{col 54}{space 4} -.119148{col 67}{space 3} .1456214
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull = .097{p_end}

{txt}       F(  1,   163) ={res}    5.00
{txt}{col 13}Prob > F ={res}    0.0267

{p 0 7}{space 1}{text:( 1)}{space 1} treatfull = -.097{p_end}

{txt}       F(  1,   163) ={res}    0.13
{txt}{col 13}Prob > F ={res}    0.7190

{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}       187
{txt}{col 49}F({res}   8{txt},{res}    163{txt}){col 67}= {res}      1.07
{txt}{col 49}Prob > F{col 67}= {res}    0.3833
{txt}{col 49}R-squared{col 67}= {res}    0.0942
{txt}{col 49}Adj R-squared{col 67}= {res}   -0.0336
{txt}{col 49}Root MSE{col 67}= {res}    0.7003

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}e_h_ctzpre~z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2} -.134271{col 26}{space 2} .1034163{col 37}{space 1}   -1.30{col 46}{space 3}0.196{col 54}{space 4}-.3384793{col 67}{space 3} .0699373
{txt}b_h_ctzpre~z {c |}{col 14}{res}{space 2} .0079571{col 26}{space 2} .0641321{col 37}{space 1}    0.12{col 46}{space 3}0.901{col 54}{space 4}-.1186797{col 67}{space 3} .1345939
{txt}c_tf~_hc_hc2 {c |}{col 14}{res}{space 2}-.0584948{col 26}{space 2} .1591786{col 37}{space 1}   -0.37{col 46}{space 3}0.714{col 54}{space 4}-.3728128{col 67}{space 3} .2558233
{txt}c_tfull_hc~l {c |}{col 14}{res}{space 2} .0323762{col 26}{space 2} .1552813{col 37}{space 1}    0.21{col 46}{space 3}0.835{col 54}{space 4}-.2742462{col 67}{space 3} .3389986
{txt}c_tfull_hc~s {c |}{col 14}{res}{space 2} .3169935{col 26}{space 2} .1844047{col 37}{space 1}    1.72{col 46}{space 3}0.088{col 54}{space 4}-.0471364{col 67}{space 3} .6811235
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2}-.3642223{col 26}{space 2} .5401904{col 37}{space 1}   -0.67{col 46}{space 3}0.501{col 54}{space 4}-1.430896{col 67}{space 3}  .702451
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2} .0153474{col 26}{space 2} .0701729{col 37}{space 1}    0.22{col 46}{space 3}0.827{col 54}{space 4}-.1232177{col 67}{space 3} .1539126
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2}-.1248174{col 26}{space 2}  .212503{col 37}{space 1}   -0.59{col 46}{space 3}0.558{col 54}{space 4} -.544431{col 67}{space 3} .2947962
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} .0132367{col 26}{space 2}  .067043{col 37}{space 1}    0.20{col 46}{space 3}0.844{col 54}{space 4} -.119148{col 67}{space 3} .1456214
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull = .098{p_end}

{txt}       F(  1,   163) ={res}    5.04
{txt}{col 13}Prob > F ={res}    0.0260

{p 0 7}{space 1}{text:( 1)}{space 1} treatfull = -.098{p_end}

{txt}       F(  1,   163) ={res}    0.12
{txt}{col 13}Prob > F ={res}    0.7262

{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}       187
{txt}{col 49}F({res}   8{txt},{res}    163{txt}){col 67}= {res}      1.07
{txt}{col 49}Prob > F{col 67}= {res}    0.3833
{txt}{col 49}R-squared{col 67}= {res}    0.0942
{txt}{col 49}Adj R-squared{col 67}= {res}   -0.0336
{txt}{col 49}Root MSE{col 67}= {res}    0.7003

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}e_h_ctzpre~z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2} -.134271{col 26}{space 2} .1034163{col 37}{space 1}   -1.30{col 46}{space 3}0.196{col 54}{space 4}-.3384793{col 67}{space 3} .0699373
{txt}b_h_ctzpre~z {c |}{col 14}{res}{space 2} .0079571{col 26}{space 2} .0641321{col 37}{space 1}    0.12{col 46}{space 3}0.901{col 54}{space 4}-.1186797{col 67}{space 3} .1345939
{txt}c_tf~_hc_hc2 {c |}{col 14}{res}{space 2}-.0584948{col 26}{space 2} .1591786{col 37}{space 1}   -0.37{col 46}{space 3}0.714{col 54}{space 4}-.3728128{col 67}{space 3} .2558233
{txt}c_tfull_hc~l {c |}{col 14}{res}{space 2} .0323762{col 26}{space 2} .1552813{col 37}{space 1}    0.21{col 46}{space 3}0.835{col 54}{space 4}-.2742462{col 67}{space 3} .3389986
{txt}c_tfull_hc~s {c |}{col 14}{res}{space 2} .3169935{col 26}{space 2} .1844047{col 37}{space 1}    1.72{col 46}{space 3}0.088{col 54}{space 4}-.0471364{col 67}{space 3} .6811235
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2}-.3642223{col 26}{space 2} .5401904{col 37}{space 1}   -0.67{col 46}{space 3}0.501{col 54}{space 4}-1.430896{col 67}{space 3}  .702451
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2} .0153474{col 26}{space 2} .0701729{col 37}{space 1}    0.22{col 46}{space 3}0.827{col 54}{space 4}-.1232177{col 67}{space 3} .1539126
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2}-.1248174{col 26}{space 2}  .212503{col 37}{space 1}   -0.59{col 46}{space 3}0.558{col 54}{space 4} -.544431{col 67}{space 3} .2947962
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} .0132367{col 26}{space 2}  .067043{col 37}{space 1}    0.20{col 46}{space 3}0.844{col 54}{space 4} -.119148{col 67}{space 3} .1456214
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull = .099{p_end}

{txt}       F(  1,   163) ={res}    5.09
{txt}{col 13}Prob > F ={res}    0.0254

{p 0 7}{space 1}{text:( 1)}{space 1} treatfull = -.099{p_end}

{txt}       F(  1,   163) ={res}    0.12
{txt}{col 13}Prob > F ={res}    0.7335

{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}       187
{txt}{col 49}F({res}   8{txt},{res}    163{txt}){col 67}= {res}      1.07
{txt}{col 49}Prob > F{col 67}= {res}    0.3833
{txt}{col 49}R-squared{col 67}= {res}    0.0942
{txt}{col 49}Adj R-squared{col 67}= {res}   -0.0336
{txt}{col 49}Root MSE{col 67}= {res}    0.7003

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}e_h_ctzpre~z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2} -.134271{col 26}{space 2} .1034163{col 37}{space 1}   -1.30{col 46}{space 3}0.196{col 54}{space 4}-.3384793{col 67}{space 3} .0699373
{txt}b_h_ctzpre~z {c |}{col 14}{res}{space 2} .0079571{col 26}{space 2} .0641321{col 37}{space 1}    0.12{col 46}{space 3}0.901{col 54}{space 4}-.1186797{col 67}{space 3} .1345939
{txt}c_tf~_hc_hc2 {c |}{col 14}{res}{space 2}-.0584948{col 26}{space 2} .1591786{col 37}{space 1}   -0.37{col 46}{space 3}0.714{col 54}{space 4}-.3728128{col 67}{space 3} .2558233
{txt}c_tfull_hc~l {c |}{col 14}{res}{space 2} .0323762{col 26}{space 2} .1552813{col 37}{space 1}    0.21{col 46}{space 3}0.835{col 54}{space 4}-.2742462{col 67}{space 3} .3389986
{txt}c_tfull_hc~s {c |}{col 14}{res}{space 2} .3169935{col 26}{space 2} .1844047{col 37}{space 1}    1.72{col 46}{space 3}0.088{col 54}{space 4}-.0471364{col 67}{space 3} .6811235
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2}-.3642223{col 26}{space 2} .5401904{col 37}{space 1}   -0.67{col 46}{space 3}0.501{col 54}{space 4}-1.430896{col 67}{space 3}  .702451
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2} .0153474{col 26}{space 2} .0701729{col 37}{space 1}    0.22{col 46}{space 3}0.827{col 54}{space 4}-.1232177{col 67}{space 3} .1539126
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2}-.1248174{col 26}{space 2}  .212503{col 37}{space 1}   -0.59{col 46}{space 3}0.558{col 54}{space 4} -.544431{col 67}{space 3} .2947962
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} .0132367{col 26}{space 2}  .067043{col 37}{space 1}    0.20{col 46}{space 3}0.844{col 54}{space 4} -.119148{col 67}{space 3} .1456214
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull = .1{p_end}

{txt}       F(  1,   163) ={res}    5.13
{txt}{col 13}Prob > F ={res}    0.0248

{p 0 7}{space 1}{text:( 1)}{space 1} treatfull = -.1{p_end}

{txt}       F(  1,   163) ={res}    0.11
{txt}{col 13}Prob > F ={res}    0.7408

{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}       187
{txt}{col 49}F({res}   8{txt},{res}    163{txt}){col 67}= {res}      1.07
{txt}{col 49}Prob > F{col 67}= {res}    0.3833
{txt}{col 49}R-squared{col 67}= {res}    0.0942
{txt}{col 49}Adj R-squared{col 67}= {res}   -0.0336
{txt}{col 49}Root MSE{col 67}= {res}    0.7003

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}e_h_ctzpre~z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2} -.134271{col 26}{space 2} .1034163{col 37}{space 1}   -1.30{col 46}{space 3}0.196{col 54}{space 4}-.3384793{col 67}{space 3} .0699373
{txt}b_h_ctzpre~z {c |}{col 14}{res}{space 2} .0079571{col 26}{space 2} .0641321{col 37}{space 1}    0.12{col 46}{space 3}0.901{col 54}{space 4}-.1186797{col 67}{space 3} .1345939
{txt}c_tf~_hc_hc2 {c |}{col 14}{res}{space 2}-.0584948{col 26}{space 2} .1591786{col 37}{space 1}   -0.37{col 46}{space 3}0.714{col 54}{space 4}-.3728128{col 67}{space 3} .2558233
{txt}c_tfull_hc~l {c |}{col 14}{res}{space 2} .0323762{col 26}{space 2} .1552813{col 37}{space 1}    0.21{col 46}{space 3}0.835{col 54}{space 4}-.2742462{col 67}{space 3} .3389986
{txt}c_tfull_hc~s {c |}{col 14}{res}{space 2} .3169935{col 26}{space 2} .1844047{col 37}{space 1}    1.72{col 46}{space 3}0.088{col 54}{space 4}-.0471364{col 67}{space 3} .6811235
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2}-.3642223{col 26}{space 2} .5401904{col 37}{space 1}   -0.67{col 46}{space 3}0.501{col 54}{space 4}-1.430896{col 67}{space 3}  .702451
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2} .0153474{col 26}{space 2} .0701729{col 37}{space 1}    0.22{col 46}{space 3}0.827{col 54}{space 4}-.1232177{col 67}{space 3} .1539126
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2}-.1248174{col 26}{space 2}  .212503{col 37}{space 1}   -0.59{col 46}{space 3}0.558{col 54}{space 4} -.544431{col 67}{space 3} .2947962
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} .0132367{col 26}{space 2}  .067043{col 37}{space 1}    0.20{col 46}{space 3}0.844{col 54}{space 4} -.119148{col 67}{space 3} .1456214
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull = .101{p_end}

{txt}       F(  1,   163) ={res}    5.18
{txt}{col 13}Prob > F ={res}    0.0242

{p 0 7}{space 1}{text:( 1)}{space 1} treatfull = -.101{p_end}

{txt}       F(  1,   163) ={res}    0.10
{txt}{col 13}Prob > F ={res}    0.7481

{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}       187
{txt}{col 49}F({res}   8{txt},{res}    163{txt}){col 67}= {res}      1.07
{txt}{col 49}Prob > F{col 67}= {res}    0.3833
{txt}{col 49}R-squared{col 67}= {res}    0.0942
{txt}{col 49}Adj R-squared{col 67}= {res}   -0.0336
{txt}{col 49}Root MSE{col 67}= {res}    0.7003

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}e_h_ctzpre~z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2} -.134271{col 26}{space 2} .1034163{col 37}{space 1}   -1.30{col 46}{space 3}0.196{col 54}{space 4}-.3384793{col 67}{space 3} .0699373
{txt}b_h_ctzpre~z {c |}{col 14}{res}{space 2} .0079571{col 26}{space 2} .0641321{col 37}{space 1}    0.12{col 46}{space 3}0.901{col 54}{space 4}-.1186797{col 67}{space 3} .1345939
{txt}c_tf~_hc_hc2 {c |}{col 14}{res}{space 2}-.0584948{col 26}{space 2} .1591786{col 37}{space 1}   -0.37{col 46}{space 3}0.714{col 54}{space 4}-.3728128{col 67}{space 3} .2558233
{txt}c_tfull_hc~l {c |}{col 14}{res}{space 2} .0323762{col 26}{space 2} .1552813{col 37}{space 1}    0.21{col 46}{space 3}0.835{col 54}{space 4}-.2742462{col 67}{space 3} .3389986
{txt}c_tfull_hc~s {c |}{col 14}{res}{space 2} .3169935{col 26}{space 2} .1844047{col 37}{space 1}    1.72{col 46}{space 3}0.088{col 54}{space 4}-.0471364{col 67}{space 3} .6811235
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2}-.3642223{col 26}{space 2} .5401904{col 37}{space 1}   -0.67{col 46}{space 3}0.501{col 54}{space 4}-1.430896{col 67}{space 3}  .702451
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2} .0153474{col 26}{space 2} .0701729{col 37}{space 1}    0.22{col 46}{space 3}0.827{col 54}{space 4}-.1232177{col 67}{space 3} .1539126
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2}-.1248174{col 26}{space 2}  .212503{col 37}{space 1}   -0.59{col 46}{space 3}0.558{col 54}{space 4} -.544431{col 67}{space 3} .2947962
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} .0132367{col 26}{space 2}  .067043{col 37}{space 1}    0.20{col 46}{space 3}0.844{col 54}{space 4} -.119148{col 67}{space 3} .1456214
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull = .102{p_end}

{txt}       F(  1,   163) ={res}    5.22
{txt}{col 13}Prob > F ={res}    0.0236

{p 0 7}{space 1}{text:( 1)}{space 1} treatfull = -.102{p_end}

{txt}       F(  1,   163) ={res}    0.10
{txt}{col 13}Prob > F ={res}    0.7554

{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}       187
{txt}{col 49}F({res}   8{txt},{res}    163{txt}){col 67}= {res}      1.07
{txt}{col 49}Prob > F{col 67}= {res}    0.3833
{txt}{col 49}R-squared{col 67}= {res}    0.0942
{txt}{col 49}Adj R-squared{col 67}= {res}   -0.0336
{txt}{col 49}Root MSE{col 67}= {res}    0.7003

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}e_h_ctzpre~z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2} -.134271{col 26}{space 2} .1034163{col 37}{space 1}   -1.30{col 46}{space 3}0.196{col 54}{space 4}-.3384793{col 67}{space 3} .0699373
{txt}b_h_ctzpre~z {c |}{col 14}{res}{space 2} .0079571{col 26}{space 2} .0641321{col 37}{space 1}    0.12{col 46}{space 3}0.901{col 54}{space 4}-.1186797{col 67}{space 3} .1345939
{txt}c_tf~_hc_hc2 {c |}{col 14}{res}{space 2}-.0584948{col 26}{space 2} .1591786{col 37}{space 1}   -0.37{col 46}{space 3}0.714{col 54}{space 4}-.3728128{col 67}{space 3} .2558233
{txt}c_tfull_hc~l {c |}{col 14}{res}{space 2} .0323762{col 26}{space 2} .1552813{col 37}{space 1}    0.21{col 46}{space 3}0.835{col 54}{space 4}-.2742462{col 67}{space 3} .3389986
{txt}c_tfull_hc~s {c |}{col 14}{res}{space 2} .3169935{col 26}{space 2} .1844047{col 37}{space 1}    1.72{col 46}{space 3}0.088{col 54}{space 4}-.0471364{col 67}{space 3} .6811235
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2}-.3642223{col 26}{space 2} .5401904{col 37}{space 1}   -0.67{col 46}{space 3}0.501{col 54}{space 4}-1.430896{col 67}{space 3}  .702451
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2} .0153474{col 26}{space 2} .0701729{col 37}{space 1}    0.22{col 46}{space 3}0.827{col 54}{space 4}-.1232177{col 67}{space 3} .1539126
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2}-.1248174{col 26}{space 2}  .212503{col 37}{space 1}   -0.59{col 46}{space 3}0.558{col 54}{space 4} -.544431{col 67}{space 3} .2947962
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} .0132367{col 26}{space 2}  .067043{col 37}{space 1}    0.20{col 46}{space 3}0.844{col 54}{space 4} -.119148{col 67}{space 3} .1456214
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull = .103{p_end}

{txt}       F(  1,   163) ={res}    5.26
{txt}{col 13}Prob > F ={res}    0.0230

{p 0 7}{space 1}{text:( 1)}{space 1} treatfull = -.103{p_end}

{txt}       F(  1,   163) ={res}    0.09
{txt}{col 13}Prob > F ={res}    0.7627

{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}       187
{txt}{col 49}F({res}   8{txt},{res}    163{txt}){col 67}= {res}      1.07
{txt}{col 49}Prob > F{col 67}= {res}    0.3833
{txt}{col 49}R-squared{col 67}= {res}    0.0942
{txt}{col 49}Adj R-squared{col 67}= {res}   -0.0336
{txt}{col 49}Root MSE{col 67}= {res}    0.7003

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}e_h_ctzpre~z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2} -.134271{col 26}{space 2} .1034163{col 37}{space 1}   -1.30{col 46}{space 3}0.196{col 54}{space 4}-.3384793{col 67}{space 3} .0699373
{txt}b_h_ctzpre~z {c |}{col 14}{res}{space 2} .0079571{col 26}{space 2} .0641321{col 37}{space 1}    0.12{col 46}{space 3}0.901{col 54}{space 4}-.1186797{col 67}{space 3} .1345939
{txt}c_tf~_hc_hc2 {c |}{col 14}{res}{space 2}-.0584948{col 26}{space 2} .1591786{col 37}{space 1}   -0.37{col 46}{space 3}0.714{col 54}{space 4}-.3728128{col 67}{space 3} .2558233
{txt}c_tfull_hc~l {c |}{col 14}{res}{space 2} .0323762{col 26}{space 2} .1552813{col 37}{space 1}    0.21{col 46}{space 3}0.835{col 54}{space 4}-.2742462{col 67}{space 3} .3389986
{txt}c_tfull_hc~s {c |}{col 14}{res}{space 2} .3169935{col 26}{space 2} .1844047{col 37}{space 1}    1.72{col 46}{space 3}0.088{col 54}{space 4}-.0471364{col 67}{space 3} .6811235
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2}-.3642223{col 26}{space 2} .5401904{col 37}{space 1}   -0.67{col 46}{space 3}0.501{col 54}{space 4}-1.430896{col 67}{space 3}  .702451
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2} .0153474{col 26}{space 2} .0701729{col 37}{space 1}    0.22{col 46}{space 3}0.827{col 54}{space 4}-.1232177{col 67}{space 3} .1539126
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2}-.1248174{col 26}{space 2}  .212503{col 37}{space 1}   -0.59{col 46}{space 3}0.558{col 54}{space 4} -.544431{col 67}{space 3} .2947962
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} .0132367{col 26}{space 2}  .067043{col 37}{space 1}    0.20{col 46}{space 3}0.844{col 54}{space 4} -.119148{col 67}{space 3} .1456214
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull = .104{p_end}

{txt}       F(  1,   163) ={res}    5.31
{txt}{col 13}Prob > F ={res}    0.0225

{p 0 7}{space 1}{text:( 1)}{space 1} treatfull = -.104{p_end}

{txt}       F(  1,   163) ={res}    0.09
{txt}{col 13}Prob > F ={res}    0.7701

{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}       187
{txt}{col 49}F({res}   8{txt},{res}    163{txt}){col 67}= {res}      1.07
{txt}{col 49}Prob > F{col 67}= {res}    0.3833
{txt}{col 49}R-squared{col 67}= {res}    0.0942
{txt}{col 49}Adj R-squared{col 67}= {res}   -0.0336
{txt}{col 49}Root MSE{col 67}= {res}    0.7003

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}e_h_ctzpre~z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2} -.134271{col 26}{space 2} .1034163{col 37}{space 1}   -1.30{col 46}{space 3}0.196{col 54}{space 4}-.3384793{col 67}{space 3} .0699373
{txt}b_h_ctzpre~z {c |}{col 14}{res}{space 2} .0079571{col 26}{space 2} .0641321{col 37}{space 1}    0.12{col 46}{space 3}0.901{col 54}{space 4}-.1186797{col 67}{space 3} .1345939
{txt}c_tf~_hc_hc2 {c |}{col 14}{res}{space 2}-.0584948{col 26}{space 2} .1591786{col 37}{space 1}   -0.37{col 46}{space 3}0.714{col 54}{space 4}-.3728128{col 67}{space 3} .2558233
{txt}c_tfull_hc~l {c |}{col 14}{res}{space 2} .0323762{col 26}{space 2} .1552813{col 37}{space 1}    0.21{col 46}{space 3}0.835{col 54}{space 4}-.2742462{col 67}{space 3} .3389986
{txt}c_tfull_hc~s {c |}{col 14}{res}{space 2} .3169935{col 26}{space 2} .1844047{col 37}{space 1}    1.72{col 46}{space 3}0.088{col 54}{space 4}-.0471364{col 67}{space 3} .6811235
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2}-.3642223{col 26}{space 2} .5401904{col 37}{space 1}   -0.67{col 46}{space 3}0.501{col 54}{space 4}-1.430896{col 67}{space 3}  .702451
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2} .0153474{col 26}{space 2} .0701729{col 37}{space 1}    0.22{col 46}{space 3}0.827{col 54}{space 4}-.1232177{col 67}{space 3} .1539126
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2}-.1248174{col 26}{space 2}  .212503{col 37}{space 1}   -0.59{col 46}{space 3}0.558{col 54}{space 4} -.544431{col 67}{space 3} .2947962
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} .0132367{col 26}{space 2}  .067043{col 37}{space 1}    0.20{col 46}{space 3}0.844{col 54}{space 4} -.119148{col 67}{space 3} .1456214
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull = .105{p_end}

{txt}       F(  1,   163) ={res}    5.35
{txt}{col 13}Prob > F ={res}    0.0219

{p 0 7}{space 1}{text:( 1)}{space 1} treatfull = -.105{p_end}

{txt}       F(  1,   163) ={res}    0.08
{txt}{col 13}Prob > F ={res}    0.7775

{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}       187
{txt}{col 49}F({res}   8{txt},{res}    163{txt}){col 67}= {res}      1.07
{txt}{col 49}Prob > F{col 67}= {res}    0.3833
{txt}{col 49}R-squared{col 67}= {res}    0.0942
{txt}{col 49}Adj R-squared{col 67}= {res}   -0.0336
{txt}{col 49}Root MSE{col 67}= {res}    0.7003

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}e_h_ctzpre~z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2} -.134271{col 26}{space 2} .1034163{col 37}{space 1}   -1.30{col 46}{space 3}0.196{col 54}{space 4}-.3384793{col 67}{space 3} .0699373
{txt}b_h_ctzpre~z {c |}{col 14}{res}{space 2} .0079571{col 26}{space 2} .0641321{col 37}{space 1}    0.12{col 46}{space 3}0.901{col 54}{space 4}-.1186797{col 67}{space 3} .1345939
{txt}c_tf~_hc_hc2 {c |}{col 14}{res}{space 2}-.0584948{col 26}{space 2} .1591786{col 37}{space 1}   -0.37{col 46}{space 3}0.714{col 54}{space 4}-.3728128{col 67}{space 3} .2558233
{txt}c_tfull_hc~l {c |}{col 14}{res}{space 2} .0323762{col 26}{space 2} .1552813{col 37}{space 1}    0.21{col 46}{space 3}0.835{col 54}{space 4}-.2742462{col 67}{space 3} .3389986
{txt}c_tfull_hc~s {c |}{col 14}{res}{space 2} .3169935{col 26}{space 2} .1844047{col 37}{space 1}    1.72{col 46}{space 3}0.088{col 54}{space 4}-.0471364{col 67}{space 3} .6811235
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2}-.3642223{col 26}{space 2} .5401904{col 37}{space 1}   -0.67{col 46}{space 3}0.501{col 54}{space 4}-1.430896{col 67}{space 3}  .702451
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2} .0153474{col 26}{space 2} .0701729{col 37}{space 1}    0.22{col 46}{space 3}0.827{col 54}{space 4}-.1232177{col 67}{space 3} .1539126
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2}-.1248174{col 26}{space 2}  .212503{col 37}{space 1}   -0.59{col 46}{space 3}0.558{col 54}{space 4} -.544431{col 67}{space 3} .2947962
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} .0132367{col 26}{space 2}  .067043{col 37}{space 1}    0.20{col 46}{space 3}0.844{col 54}{space 4} -.119148{col 67}{space 3} .1456214
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull = .106{p_end}

{txt}       F(  1,   163) ={res}    5.40
{txt}{col 13}Prob > F ={res}    0.0214

{p 0 7}{space 1}{text:( 1)}{space 1} treatfull = -.106{p_end}

{txt}       F(  1,   163) ={res}    0.07
{txt}{col 13}Prob > F ={res}    0.7849

{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}       187
{txt}{col 49}F({res}   8{txt},{res}    163{txt}){col 67}= {res}      1.07
{txt}{col 49}Prob > F{col 67}= {res}    0.3833
{txt}{col 49}R-squared{col 67}= {res}    0.0942
{txt}{col 49}Adj R-squared{col 67}= {res}   -0.0336
{txt}{col 49}Root MSE{col 67}= {res}    0.7003

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}e_h_ctzpre~z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2} -.134271{col 26}{space 2} .1034163{col 37}{space 1}   -1.30{col 46}{space 3}0.196{col 54}{space 4}-.3384793{col 67}{space 3} .0699373
{txt}b_h_ctzpre~z {c |}{col 14}{res}{space 2} .0079571{col 26}{space 2} .0641321{col 37}{space 1}    0.12{col 46}{space 3}0.901{col 54}{space 4}-.1186797{col 67}{space 3} .1345939
{txt}c_tf~_hc_hc2 {c |}{col 14}{res}{space 2}-.0584948{col 26}{space 2} .1591786{col 37}{space 1}   -0.37{col 46}{space 3}0.714{col 54}{space 4}-.3728128{col 67}{space 3} .2558233
{txt}c_tfull_hc~l {c |}{col 14}{res}{space 2} .0323762{col 26}{space 2} .1552813{col 37}{space 1}    0.21{col 46}{space 3}0.835{col 54}{space 4}-.2742462{col 67}{space 3} .3389986
{txt}c_tfull_hc~s {c |}{col 14}{res}{space 2} .3169935{col 26}{space 2} .1844047{col 37}{space 1}    1.72{col 46}{space 3}0.088{col 54}{space 4}-.0471364{col 67}{space 3} .6811235
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2}-.3642223{col 26}{space 2} .5401904{col 37}{space 1}   -0.67{col 46}{space 3}0.501{col 54}{space 4}-1.430896{col 67}{space 3}  .702451
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2} .0153474{col 26}{space 2} .0701729{col 37}{space 1}    0.22{col 46}{space 3}0.827{col 54}{space 4}-.1232177{col 67}{space 3} .1539126
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2}-.1248174{col 26}{space 2}  .212503{col 37}{space 1}   -0.59{col 46}{space 3}0.558{col 54}{space 4} -.544431{col 67}{space 3} .2947962
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} .0132367{col 26}{space 2}  .067043{col 37}{space 1}    0.20{col 46}{space 3}0.844{col 54}{space 4} -.119148{col 67}{space 3} .1456214
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull = .107{p_end}

{txt}       F(  1,   163) ={res}    5.44
{txt}{col 13}Prob > F ={res}    0.0209

{p 0 7}{space 1}{text:( 1)}{space 1} treatfull = -.107{p_end}

{txt}       F(  1,   163) ={res}    0.07
{txt}{col 13}Prob > F ={res}    0.7923

{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}       187
{txt}{col 49}F({res}   8{txt},{res}    163{txt}){col 67}= {res}      1.07
{txt}{col 49}Prob > F{col 67}= {res}    0.3833
{txt}{col 49}R-squared{col 67}= {res}    0.0942
{txt}{col 49}Adj R-squared{col 67}= {res}   -0.0336
{txt}{col 49}Root MSE{col 67}= {res}    0.7003

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}e_h_ctzpre~z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2} -.134271{col 26}{space 2} .1034163{col 37}{space 1}   -1.30{col 46}{space 3}0.196{col 54}{space 4}-.3384793{col 67}{space 3} .0699373
{txt}b_h_ctzpre~z {c |}{col 14}{res}{space 2} .0079571{col 26}{space 2} .0641321{col 37}{space 1}    0.12{col 46}{space 3}0.901{col 54}{space 4}-.1186797{col 67}{space 3} .1345939
{txt}c_tf~_hc_hc2 {c |}{col 14}{res}{space 2}-.0584948{col 26}{space 2} .1591786{col 37}{space 1}   -0.37{col 46}{space 3}0.714{col 54}{space 4}-.3728128{col 67}{space 3} .2558233
{txt}c_tfull_hc~l {c |}{col 14}{res}{space 2} .0323762{col 26}{space 2} .1552813{col 37}{space 1}    0.21{col 46}{space 3}0.835{col 54}{space 4}-.2742462{col 67}{space 3} .3389986
{txt}c_tfull_hc~s {c |}{col 14}{res}{space 2} .3169935{col 26}{space 2} .1844047{col 37}{space 1}    1.72{col 46}{space 3}0.088{col 54}{space 4}-.0471364{col 67}{space 3} .6811235
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2}-.3642223{col 26}{space 2} .5401904{col 37}{space 1}   -0.67{col 46}{space 3}0.501{col 54}{space 4}-1.430896{col 67}{space 3}  .702451
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2} .0153474{col 26}{space 2} .0701729{col 37}{space 1}    0.22{col 46}{space 3}0.827{col 54}{space 4}-.1232177{col 67}{space 3} .1539126
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2}-.1248174{col 26}{space 2}  .212503{col 37}{space 1}   -0.59{col 46}{space 3}0.558{col 54}{space 4} -.544431{col 67}{space 3} .2947962
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} .0132367{col 26}{space 2}  .067043{col 37}{space 1}    0.20{col 46}{space 3}0.844{col 54}{space 4} -.119148{col 67}{space 3} .1456214
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull = .108{p_end}

{txt}       F(  1,   163) ={res}    5.49
{txt}{col 13}Prob > F ={res}    0.0204

{p 0 7}{space 1}{text:( 1)}{space 1} treatfull = -.108{p_end}

{txt}       F(  1,   163) ={res}    0.06
{txt}{col 13}Prob > F ={res}    0.7998

{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}       187
{txt}{col 49}F({res}   8{txt},{res}    163{txt}){col 67}= {res}      1.07
{txt}{col 49}Prob > F{col 67}= {res}    0.3833
{txt}{col 49}R-squared{col 67}= {res}    0.0942
{txt}{col 49}Adj R-squared{col 67}= {res}   -0.0336
{txt}{col 49}Root MSE{col 67}= {res}    0.7003

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}e_h_ctzpre~z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2} -.134271{col 26}{space 2} .1034163{col 37}{space 1}   -1.30{col 46}{space 3}0.196{col 54}{space 4}-.3384793{col 67}{space 3} .0699373
{txt}b_h_ctzpre~z {c |}{col 14}{res}{space 2} .0079571{col 26}{space 2} .0641321{col 37}{space 1}    0.12{col 46}{space 3}0.901{col 54}{space 4}-.1186797{col 67}{space 3} .1345939
{txt}c_tf~_hc_hc2 {c |}{col 14}{res}{space 2}-.0584948{col 26}{space 2} .1591786{col 37}{space 1}   -0.37{col 46}{space 3}0.714{col 54}{space 4}-.3728128{col 67}{space 3} .2558233
{txt}c_tfull_hc~l {c |}{col 14}{res}{space 2} .0323762{col 26}{space 2} .1552813{col 37}{space 1}    0.21{col 46}{space 3}0.835{col 54}{space 4}-.2742462{col 67}{space 3} .3389986
{txt}c_tfull_hc~s {c |}{col 14}{res}{space 2} .3169935{col 26}{space 2} .1844047{col 37}{space 1}    1.72{col 46}{space 3}0.088{col 54}{space 4}-.0471364{col 67}{space 3} .6811235
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2}-.3642223{col 26}{space 2} .5401904{col 37}{space 1}   -0.67{col 46}{space 3}0.501{col 54}{space 4}-1.430896{col 67}{space 3}  .702451
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2} .0153474{col 26}{space 2} .0701729{col 37}{space 1}    0.22{col 46}{space 3}0.827{col 54}{space 4}-.1232177{col 67}{space 3} .1539126
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2}-.1248174{col 26}{space 2}  .212503{col 37}{space 1}   -0.59{col 46}{space 3}0.558{col 54}{space 4} -.544431{col 67}{space 3} .2947962
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} .0132367{col 26}{space 2}  .067043{col 37}{space 1}    0.20{col 46}{space 3}0.844{col 54}{space 4} -.119148{col 67}{space 3} .1456214
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull = .109{p_end}

{txt}       F(  1,   163) ={res}    5.53
{txt}{col 13}Prob > F ={res}    0.0198

{p 0 7}{space 1}{text:( 1)}{space 1} treatfull = -.109{p_end}

{txt}       F(  1,   163) ={res}    0.06
{txt}{col 13}Prob > F ={res}    0.8073

{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}       187
{txt}{col 49}F({res}   8{txt},{res}    163{txt}){col 67}= {res}      1.07
{txt}{col 49}Prob > F{col 67}= {res}    0.3833
{txt}{col 49}R-squared{col 67}= {res}    0.0942
{txt}{col 49}Adj R-squared{col 67}= {res}   -0.0336
{txt}{col 49}Root MSE{col 67}= {res}    0.7003

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}e_h_ctzpre~z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2} -.134271{col 26}{space 2} .1034163{col 37}{space 1}   -1.30{col 46}{space 3}0.196{col 54}{space 4}-.3384793{col 67}{space 3} .0699373
{txt}b_h_ctzpre~z {c |}{col 14}{res}{space 2} .0079571{col 26}{space 2} .0641321{col 37}{space 1}    0.12{col 46}{space 3}0.901{col 54}{space 4}-.1186797{col 67}{space 3} .1345939
{txt}c_tf~_hc_hc2 {c |}{col 14}{res}{space 2}-.0584948{col 26}{space 2} .1591786{col 37}{space 1}   -0.37{col 46}{space 3}0.714{col 54}{space 4}-.3728128{col 67}{space 3} .2558233
{txt}c_tfull_hc~l {c |}{col 14}{res}{space 2} .0323762{col 26}{space 2} .1552813{col 37}{space 1}    0.21{col 46}{space 3}0.835{col 54}{space 4}-.2742462{col 67}{space 3} .3389986
{txt}c_tfull_hc~s {c |}{col 14}{res}{space 2} .3169935{col 26}{space 2} .1844047{col 37}{space 1}    1.72{col 46}{space 3}0.088{col 54}{space 4}-.0471364{col 67}{space 3} .6811235
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2}-.3642223{col 26}{space 2} .5401904{col 37}{space 1}   -0.67{col 46}{space 3}0.501{col 54}{space 4}-1.430896{col 67}{space 3}  .702451
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2} .0153474{col 26}{space 2} .0701729{col 37}{space 1}    0.22{col 46}{space 3}0.827{col 54}{space 4}-.1232177{col 67}{space 3} .1539126
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2}-.1248174{col 26}{space 2}  .212503{col 37}{space 1}   -0.59{col 46}{space 3}0.558{col 54}{space 4} -.544431{col 67}{space 3} .2947962
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} .0132367{col 26}{space 2}  .067043{col 37}{space 1}    0.20{col 46}{space 3}0.844{col 54}{space 4} -.119148{col 67}{space 3} .1456214
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull = .11{p_end}

{txt}       F(  1,   163) ={res}    5.58
{txt}{col 13}Prob > F ={res}    0.0194

{p 0 7}{space 1}{text:( 1)}{space 1} treatfull = -.11{p_end}

{txt}       F(  1,   163) ={res}    0.06
{txt}{col 13}Prob > F ={res}    0.8147

{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}       187
{txt}{col 49}F({res}   8{txt},{res}    163{txt}){col 67}= {res}      1.07
{txt}{col 49}Prob > F{col 67}= {res}    0.3833
{txt}{col 49}R-squared{col 67}= {res}    0.0942
{txt}{col 49}Adj R-squared{col 67}= {res}   -0.0336
{txt}{col 49}Root MSE{col 67}= {res}    0.7003

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}e_h_ctzpre~z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2} -.134271{col 26}{space 2} .1034163{col 37}{space 1}   -1.30{col 46}{space 3}0.196{col 54}{space 4}-.3384793{col 67}{space 3} .0699373
{txt}b_h_ctzpre~z {c |}{col 14}{res}{space 2} .0079571{col 26}{space 2} .0641321{col 37}{space 1}    0.12{col 46}{space 3}0.901{col 54}{space 4}-.1186797{col 67}{space 3} .1345939
{txt}c_tf~_hc_hc2 {c |}{col 14}{res}{space 2}-.0584948{col 26}{space 2} .1591786{col 37}{space 1}   -0.37{col 46}{space 3}0.714{col 54}{space 4}-.3728128{col 67}{space 3} .2558233
{txt}c_tfull_hc~l {c |}{col 14}{res}{space 2} .0323762{col 26}{space 2} .1552813{col 37}{space 1}    0.21{col 46}{space 3}0.835{col 54}{space 4}-.2742462{col 67}{space 3} .3389986
{txt}c_tfull_hc~s {c |}{col 14}{res}{space 2} .3169935{col 26}{space 2} .1844047{col 37}{space 1}    1.72{col 46}{space 3}0.088{col 54}{space 4}-.0471364{col 67}{space 3} .6811235
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2}-.3642223{col 26}{space 2} .5401904{col 37}{space 1}   -0.67{col 46}{space 3}0.501{col 54}{space 4}-1.430896{col 67}{space 3}  .702451
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2} .0153474{col 26}{space 2} .0701729{col 37}{space 1}    0.22{col 46}{space 3}0.827{col 54}{space 4}-.1232177{col 67}{space 3} .1539126
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2}-.1248174{col 26}{space 2}  .212503{col 37}{space 1}   -0.59{col 46}{space 3}0.558{col 54}{space 4} -.544431{col 67}{space 3} .2947962
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} .0132367{col 26}{space 2}  .067043{col 37}{space 1}    0.20{col 46}{space 3}0.844{col 54}{space 4} -.119148{col 67}{space 3} .1456214
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull = .111{p_end}

{txt}       F(  1,   163) ={res}    5.62
{txt}{col 13}Prob > F ={res}    0.0189

{p 0 7}{space 1}{text:( 1)}{space 1} treatfull = -.111{p_end}

{txt}       F(  1,   163) ={res}    0.05
{txt}{col 13}Prob > F ={res}    0.8222

{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}       187
{txt}{col 49}F({res}   8{txt},{res}    163{txt}){col 67}= {res}      1.07
{txt}{col 49}Prob > F{col 67}= {res}    0.3833
{txt}{col 49}R-squared{col 67}= {res}    0.0942
{txt}{col 49}Adj R-squared{col 67}= {res}   -0.0336
{txt}{col 49}Root MSE{col 67}= {res}    0.7003

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}e_h_ctzpre~z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2} -.134271{col 26}{space 2} .1034163{col 37}{space 1}   -1.30{col 46}{space 3}0.196{col 54}{space 4}-.3384793{col 67}{space 3} .0699373
{txt}b_h_ctzpre~z {c |}{col 14}{res}{space 2} .0079571{col 26}{space 2} .0641321{col 37}{space 1}    0.12{col 46}{space 3}0.901{col 54}{space 4}-.1186797{col 67}{space 3} .1345939
{txt}c_tf~_hc_hc2 {c |}{col 14}{res}{space 2}-.0584948{col 26}{space 2} .1591786{col 37}{space 1}   -0.37{col 46}{space 3}0.714{col 54}{space 4}-.3728128{col 67}{space 3} .2558233
{txt}c_tfull_hc~l {c |}{col 14}{res}{space 2} .0323762{col 26}{space 2} .1552813{col 37}{space 1}    0.21{col 46}{space 3}0.835{col 54}{space 4}-.2742462{col 67}{space 3} .3389986
{txt}c_tfull_hc~s {c |}{col 14}{res}{space 2} .3169935{col 26}{space 2} .1844047{col 37}{space 1}    1.72{col 46}{space 3}0.088{col 54}{space 4}-.0471364{col 67}{space 3} .6811235
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2}-.3642223{col 26}{space 2} .5401904{col 37}{space 1}   -0.67{col 46}{space 3}0.501{col 54}{space 4}-1.430896{col 67}{space 3}  .702451
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2} .0153474{col 26}{space 2} .0701729{col 37}{space 1}    0.22{col 46}{space 3}0.827{col 54}{space 4}-.1232177{col 67}{space 3} .1539126
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2}-.1248174{col 26}{space 2}  .212503{col 37}{space 1}   -0.59{col 46}{space 3}0.558{col 54}{space 4} -.544431{col 67}{space 3} .2947962
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} .0132367{col 26}{space 2}  .067043{col 37}{space 1}    0.20{col 46}{space 3}0.844{col 54}{space 4} -.119148{col 67}{space 3} .1456214
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull = .112{p_end}

{txt}       F(  1,   163) ={res}    5.67
{txt}{col 13}Prob > F ={res}    0.0184

{p 0 7}{space 1}{text:( 1)}{space 1} treatfull = -.112{p_end}

{txt}       F(  1,   163) ={res}    0.05
{txt}{col 13}Prob > F ={res}    0.8298

{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}       187
{txt}{col 49}F({res}   8{txt},{res}    163{txt}){col 67}= {res}      1.07
{txt}{col 49}Prob > F{col 67}= {res}    0.3833
{txt}{col 49}R-squared{col 67}= {res}    0.0942
{txt}{col 49}Adj R-squared{col 67}= {res}   -0.0336
{txt}{col 49}Root MSE{col 67}= {res}    0.7003

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}e_h_ctzpre~z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2} -.134271{col 26}{space 2} .1034163{col 37}{space 1}   -1.30{col 46}{space 3}0.196{col 54}{space 4}-.3384793{col 67}{space 3} .0699373
{txt}b_h_ctzpre~z {c |}{col 14}{res}{space 2} .0079571{col 26}{space 2} .0641321{col 37}{space 1}    0.12{col 46}{space 3}0.901{col 54}{space 4}-.1186797{col 67}{space 3} .1345939
{txt}c_tf~_hc_hc2 {c |}{col 14}{res}{space 2}-.0584948{col 26}{space 2} .1591786{col 37}{space 1}   -0.37{col 46}{space 3}0.714{col 54}{space 4}-.3728128{col 67}{space 3} .2558233
{txt}c_tfull_hc~l {c |}{col 14}{res}{space 2} .0323762{col 26}{space 2} .1552813{col 37}{space 1}    0.21{col 46}{space 3}0.835{col 54}{space 4}-.2742462{col 67}{space 3} .3389986
{txt}c_tfull_hc~s {c |}{col 14}{res}{space 2} .3169935{col 26}{space 2} .1844047{col 37}{space 1}    1.72{col 46}{space 3}0.088{col 54}{space 4}-.0471364{col 67}{space 3} .6811235
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2}-.3642223{col 26}{space 2} .5401904{col 37}{space 1}   -0.67{col 46}{space 3}0.501{col 54}{space 4}-1.430896{col 67}{space 3}  .702451
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2} .0153474{col 26}{space 2} .0701729{col 37}{space 1}    0.22{col 46}{space 3}0.827{col 54}{space 4}-.1232177{col 67}{space 3} .1539126
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2}-.1248174{col 26}{space 2}  .212503{col 37}{space 1}   -0.59{col 46}{space 3}0.558{col 54}{space 4} -.544431{col 67}{space 3} .2947962
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} .0132367{col 26}{space 2}  .067043{col 37}{space 1}    0.20{col 46}{space 3}0.844{col 54}{space 4} -.119148{col 67}{space 3} .1456214
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull = .113{p_end}

{txt}       F(  1,   163) ={res}    5.72
{txt}{col 13}Prob > F ={res}    0.0179

{p 0 7}{space 1}{text:( 1)}{space 1} treatfull = -.113{p_end}

{txt}       F(  1,   163) ={res}    0.04
{txt}{col 13}Prob > F ={res}    0.8373

{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}       187
{txt}{col 49}F({res}   8{txt},{res}    163{txt}){col 67}= {res}      1.07
{txt}{col 49}Prob > F{col 67}= {res}    0.3833
{txt}{col 49}R-squared{col 67}= {res}    0.0942
{txt}{col 49}Adj R-squared{col 67}= {res}   -0.0336
{txt}{col 49}Root MSE{col 67}= {res}    0.7003

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}e_h_ctzpre~z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2} -.134271{col 26}{space 2} .1034163{col 37}{space 1}   -1.30{col 46}{space 3}0.196{col 54}{space 4}-.3384793{col 67}{space 3} .0699373
{txt}b_h_ctzpre~z {c |}{col 14}{res}{space 2} .0079571{col 26}{space 2} .0641321{col 37}{space 1}    0.12{col 46}{space 3}0.901{col 54}{space 4}-.1186797{col 67}{space 3} .1345939
{txt}c_tf~_hc_hc2 {c |}{col 14}{res}{space 2}-.0584948{col 26}{space 2} .1591786{col 37}{space 1}   -0.37{col 46}{space 3}0.714{col 54}{space 4}-.3728128{col 67}{space 3} .2558233
{txt}c_tfull_hc~l {c |}{col 14}{res}{space 2} .0323762{col 26}{space 2} .1552813{col 37}{space 1}    0.21{col 46}{space 3}0.835{col 54}{space 4}-.2742462{col 67}{space 3} .3389986
{txt}c_tfull_hc~s {c |}{col 14}{res}{space 2} .3169935{col 26}{space 2} .1844047{col 37}{space 1}    1.72{col 46}{space 3}0.088{col 54}{space 4}-.0471364{col 67}{space 3} .6811235
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2}-.3642223{col 26}{space 2} .5401904{col 37}{space 1}   -0.67{col 46}{space 3}0.501{col 54}{space 4}-1.430896{col 67}{space 3}  .702451
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2} .0153474{col 26}{space 2} .0701729{col 37}{space 1}    0.22{col 46}{space 3}0.827{col 54}{space 4}-.1232177{col 67}{space 3} .1539126
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2}-.1248174{col 26}{space 2}  .212503{col 37}{space 1}   -0.59{col 46}{space 3}0.558{col 54}{space 4} -.544431{col 67}{space 3} .2947962
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} .0132367{col 26}{space 2}  .067043{col 37}{space 1}    0.20{col 46}{space 3}0.844{col 54}{space 4} -.119148{col 67}{space 3} .1456214
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull = .114{p_end}

{txt}       F(  1,   163) ={res}    5.76
{txt}{col 13}Prob > F ={res}    0.0175

{p 0 7}{space 1}{text:( 1)}{space 1} treatfull = -.114{p_end}

{txt}       F(  1,   163) ={res}    0.04
{txt}{col 13}Prob > F ={res}    0.8448

{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}       187
{txt}{col 49}F({res}   8{txt},{res}    163{txt}){col 67}= {res}      1.07
{txt}{col 49}Prob > F{col 67}= {res}    0.3833
{txt}{col 49}R-squared{col 67}= {res}    0.0942
{txt}{col 49}Adj R-squared{col 67}= {res}   -0.0336
{txt}{col 49}Root MSE{col 67}= {res}    0.7003

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}e_h_ctzpre~z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2} -.134271{col 26}{space 2} .1034163{col 37}{space 1}   -1.30{col 46}{space 3}0.196{col 54}{space 4}-.3384793{col 67}{space 3} .0699373
{txt}b_h_ctzpre~z {c |}{col 14}{res}{space 2} .0079571{col 26}{space 2} .0641321{col 37}{space 1}    0.12{col 46}{space 3}0.901{col 54}{space 4}-.1186797{col 67}{space 3} .1345939
{txt}c_tf~_hc_hc2 {c |}{col 14}{res}{space 2}-.0584948{col 26}{space 2} .1591786{col 37}{space 1}   -0.37{col 46}{space 3}0.714{col 54}{space 4}-.3728128{col 67}{space 3} .2558233
{txt}c_tfull_hc~l {c |}{col 14}{res}{space 2} .0323762{col 26}{space 2} .1552813{col 37}{space 1}    0.21{col 46}{space 3}0.835{col 54}{space 4}-.2742462{col 67}{space 3} .3389986
{txt}c_tfull_hc~s {c |}{col 14}{res}{space 2} .3169935{col 26}{space 2} .1844047{col 37}{space 1}    1.72{col 46}{space 3}0.088{col 54}{space 4}-.0471364{col 67}{space 3} .6811235
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2}-.3642223{col 26}{space 2} .5401904{col 37}{space 1}   -0.67{col 46}{space 3}0.501{col 54}{space 4}-1.430896{col 67}{space 3}  .702451
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2} .0153474{col 26}{space 2} .0701729{col 37}{space 1}    0.22{col 46}{space 3}0.827{col 54}{space 4}-.1232177{col 67}{space 3} .1539126
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2}-.1248174{col 26}{space 2}  .212503{col 37}{space 1}   -0.59{col 46}{space 3}0.558{col 54}{space 4} -.544431{col 67}{space 3} .2947962
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} .0132367{col 26}{space 2}  .067043{col 37}{space 1}    0.20{col 46}{space 3}0.844{col 54}{space 4} -.119148{col 67}{space 3} .1456214
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull = .115{p_end}

{txt}       F(  1,   163) ={res}    5.81
{txt}{col 13}Prob > F ={res}    0.0170

{p 0 7}{space 1}{text:( 1)}{space 1} treatfull = -.115{p_end}

{txt}       F(  1,   163) ={res}    0.03
{txt}{col 13}Prob > F ={res}    0.8524

{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}       187
{txt}{col 49}F({res}   8{txt},{res}    163{txt}){col 67}= {res}      1.07
{txt}{col 49}Prob > F{col 67}= {res}    0.3833
{txt}{col 49}R-squared{col 67}= {res}    0.0942
{txt}{col 49}Adj R-squared{col 67}= {res}   -0.0336
{txt}{col 49}Root MSE{col 67}= {res}    0.7003

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}e_h_ctzpre~z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2} -.134271{col 26}{space 2} .1034163{col 37}{space 1}   -1.30{col 46}{space 3}0.196{col 54}{space 4}-.3384793{col 67}{space 3} .0699373
{txt}b_h_ctzpre~z {c |}{col 14}{res}{space 2} .0079571{col 26}{space 2} .0641321{col 37}{space 1}    0.12{col 46}{space 3}0.901{col 54}{space 4}-.1186797{col 67}{space 3} .1345939
{txt}c_tf~_hc_hc2 {c |}{col 14}{res}{space 2}-.0584948{col 26}{space 2} .1591786{col 37}{space 1}   -0.37{col 46}{space 3}0.714{col 54}{space 4}-.3728128{col 67}{space 3} .2558233
{txt}c_tfull_hc~l {c |}{col 14}{res}{space 2} .0323762{col 26}{space 2} .1552813{col 37}{space 1}    0.21{col 46}{space 3}0.835{col 54}{space 4}-.2742462{col 67}{space 3} .3389986
{txt}c_tfull_hc~s {c |}{col 14}{res}{space 2} .3169935{col 26}{space 2} .1844047{col 37}{space 1}    1.72{col 46}{space 3}0.088{col 54}{space 4}-.0471364{col 67}{space 3} .6811235
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2}-.3642223{col 26}{space 2} .5401904{col 37}{space 1}   -0.67{col 46}{space 3}0.501{col 54}{space 4}-1.430896{col 67}{space 3}  .702451
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2} .0153474{col 26}{space 2} .0701729{col 37}{space 1}    0.22{col 46}{space 3}0.827{col 54}{space 4}-.1232177{col 67}{space 3} .1539126
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2}-.1248174{col 26}{space 2}  .212503{col 37}{space 1}   -0.59{col 46}{space 3}0.558{col 54}{space 4} -.544431{col 67}{space 3} .2947962
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} .0132367{col 26}{space 2}  .067043{col 37}{space 1}    0.20{col 46}{space 3}0.844{col 54}{space 4} -.119148{col 67}{space 3} .1456214
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull = .116{p_end}

{txt}       F(  1,   163) ={res}    5.86
{txt}{col 13}Prob > F ={res}    0.0166

{p 0 7}{space 1}{text:( 1)}{space 1} treatfull = -.116{p_end}

{txt}       F(  1,   163) ={res}    0.03
{txt}{col 13}Prob > F ={res}    0.8600

{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}       187
{txt}{col 49}F({res}   8{txt},{res}    163{txt}){col 67}= {res}      1.07
{txt}{col 49}Prob > F{col 67}= {res}    0.3833
{txt}{col 49}R-squared{col 67}= {res}    0.0942
{txt}{col 49}Adj R-squared{col 67}= {res}   -0.0336
{txt}{col 49}Root MSE{col 67}= {res}    0.7003

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}e_h_ctzpre~z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2} -.134271{col 26}{space 2} .1034163{col 37}{space 1}   -1.30{col 46}{space 3}0.196{col 54}{space 4}-.3384793{col 67}{space 3} .0699373
{txt}b_h_ctzpre~z {c |}{col 14}{res}{space 2} .0079571{col 26}{space 2} .0641321{col 37}{space 1}    0.12{col 46}{space 3}0.901{col 54}{space 4}-.1186797{col 67}{space 3} .1345939
{txt}c_tf~_hc_hc2 {c |}{col 14}{res}{space 2}-.0584948{col 26}{space 2} .1591786{col 37}{space 1}   -0.37{col 46}{space 3}0.714{col 54}{space 4}-.3728128{col 67}{space 3} .2558233
{txt}c_tfull_hc~l {c |}{col 14}{res}{space 2} .0323762{col 26}{space 2} .1552813{col 37}{space 1}    0.21{col 46}{space 3}0.835{col 54}{space 4}-.2742462{col 67}{space 3} .3389986
{txt}c_tfull_hc~s {c |}{col 14}{res}{space 2} .3169935{col 26}{space 2} .1844047{col 37}{space 1}    1.72{col 46}{space 3}0.088{col 54}{space 4}-.0471364{col 67}{space 3} .6811235
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2}-.3642223{col 26}{space 2} .5401904{col 37}{space 1}   -0.67{col 46}{space 3}0.501{col 54}{space 4}-1.430896{col 67}{space 3}  .702451
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2} .0153474{col 26}{space 2} .0701729{col 37}{space 1}    0.22{col 46}{space 3}0.827{col 54}{space 4}-.1232177{col 67}{space 3} .1539126
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2}-.1248174{col 26}{space 2}  .212503{col 37}{space 1}   -0.59{col 46}{space 3}0.558{col 54}{space 4} -.544431{col 67}{space 3} .2947962
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} .0132367{col 26}{space 2}  .067043{col 37}{space 1}    0.20{col 46}{space 3}0.844{col 54}{space 4} -.119148{col 67}{space 3} .1456214
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull = .117{p_end}

{txt}       F(  1,   163) ={res}    5.90
{txt}{col 13}Prob > F ={res}    0.0162

{p 0 7}{space 1}{text:( 1)}{space 1} treatfull = -.117{p_end}

{txt}       F(  1,   163) ={res}    0.03
{txt}{col 13}Prob > F ={res}    0.8676

{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}       187
{txt}{col 49}F({res}   8{txt},{res}    163{txt}){col 67}= {res}      1.07
{txt}{col 49}Prob > F{col 67}= {res}    0.3833
{txt}{col 49}R-squared{col 67}= {res}    0.0942
{txt}{col 49}Adj R-squared{col 67}= {res}   -0.0336
{txt}{col 49}Root MSE{col 67}= {res}    0.7003

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}e_h_ctzpre~z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2} -.134271{col 26}{space 2} .1034163{col 37}{space 1}   -1.30{col 46}{space 3}0.196{col 54}{space 4}-.3384793{col 67}{space 3} .0699373
{txt}b_h_ctzpre~z {c |}{col 14}{res}{space 2} .0079571{col 26}{space 2} .0641321{col 37}{space 1}    0.12{col 46}{space 3}0.901{col 54}{space 4}-.1186797{col 67}{space 3} .1345939
{txt}c_tf~_hc_hc2 {c |}{col 14}{res}{space 2}-.0584948{col 26}{space 2} .1591786{col 37}{space 1}   -0.37{col 46}{space 3}0.714{col 54}{space 4}-.3728128{col 67}{space 3} .2558233
{txt}c_tfull_hc~l {c |}{col 14}{res}{space 2} .0323762{col 26}{space 2} .1552813{col 37}{space 1}    0.21{col 46}{space 3}0.835{col 54}{space 4}-.2742462{col 67}{space 3} .3389986
{txt}c_tfull_hc~s {c |}{col 14}{res}{space 2} .3169935{col 26}{space 2} .1844047{col 37}{space 1}    1.72{col 46}{space 3}0.088{col 54}{space 4}-.0471364{col 67}{space 3} .6811235
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2}-.3642223{col 26}{space 2} .5401904{col 37}{space 1}   -0.67{col 46}{space 3}0.501{col 54}{space 4}-1.430896{col 67}{space 3}  .702451
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2} .0153474{col 26}{space 2} .0701729{col 37}{space 1}    0.22{col 46}{space 3}0.827{col 54}{space 4}-.1232177{col 67}{space 3} .1539126
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2}-.1248174{col 26}{space 2}  .212503{col 37}{space 1}   -0.59{col 46}{space 3}0.558{col 54}{space 4} -.544431{col 67}{space 3} .2947962
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} .0132367{col 26}{space 2}  .067043{col 37}{space 1}    0.20{col 46}{space 3}0.844{col 54}{space 4} -.119148{col 67}{space 3} .1456214
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull = .118{p_end}

{txt}       F(  1,   163) ={res}    5.95
{txt}{col 13}Prob > F ={res}    0.0158

{p 0 7}{space 1}{text:( 1)}{space 1} treatfull = -.118{p_end}

{txt}       F(  1,   163) ={res}    0.02
{txt}{col 13}Prob > F ={res}    0.8752

{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}       187
{txt}{col 49}F({res}   8{txt},{res}    163{txt}){col 67}= {res}      1.07
{txt}{col 49}Prob > F{col 67}= {res}    0.3833
{txt}{col 49}R-squared{col 67}= {res}    0.0942
{txt}{col 49}Adj R-squared{col 67}= {res}   -0.0336
{txt}{col 49}Root MSE{col 67}= {res}    0.7003

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}e_h_ctzpre~z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2} -.134271{col 26}{space 2} .1034163{col 37}{space 1}   -1.30{col 46}{space 3}0.196{col 54}{space 4}-.3384793{col 67}{space 3} .0699373
{txt}b_h_ctzpre~z {c |}{col 14}{res}{space 2} .0079571{col 26}{space 2} .0641321{col 37}{space 1}    0.12{col 46}{space 3}0.901{col 54}{space 4}-.1186797{col 67}{space 3} .1345939
{txt}c_tf~_hc_hc2 {c |}{col 14}{res}{space 2}-.0584948{col 26}{space 2} .1591786{col 37}{space 1}   -0.37{col 46}{space 3}0.714{col 54}{space 4}-.3728128{col 67}{space 3} .2558233
{txt}c_tfull_hc~l {c |}{col 14}{res}{space 2} .0323762{col 26}{space 2} .1552813{col 37}{space 1}    0.21{col 46}{space 3}0.835{col 54}{space 4}-.2742462{col 67}{space 3} .3389986
{txt}c_tfull_hc~s {c |}{col 14}{res}{space 2} .3169935{col 26}{space 2} .1844047{col 37}{space 1}    1.72{col 46}{space 3}0.088{col 54}{space 4}-.0471364{col 67}{space 3} .6811235
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2}-.3642223{col 26}{space 2} .5401904{col 37}{space 1}   -0.67{col 46}{space 3}0.501{col 54}{space 4}-1.430896{col 67}{space 3}  .702451
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2} .0153474{col 26}{space 2} .0701729{col 37}{space 1}    0.22{col 46}{space 3}0.827{col 54}{space 4}-.1232177{col 67}{space 3} .1539126
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2}-.1248174{col 26}{space 2}  .212503{col 37}{space 1}   -0.59{col 46}{space 3}0.558{col 54}{space 4} -.544431{col 67}{space 3} .2947962
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} .0132367{col 26}{space 2}  .067043{col 37}{space 1}    0.20{col 46}{space 3}0.844{col 54}{space 4} -.119148{col 67}{space 3} .1456214
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull = .119{p_end}

{txt}       F(  1,   163) ={res}    6.00
{txt}{col 13}Prob > F ={res}    0.0154

{p 0 7}{space 1}{text:( 1)}{space 1} treatfull = -.119{p_end}

{txt}       F(  1,   163) ={res}    0.02
{txt}{col 13}Prob > F ={res}    0.8828

{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}       187
{txt}{col 49}F({res}   8{txt},{res}    163{txt}){col 67}= {res}      1.07
{txt}{col 49}Prob > F{col 67}= {res}    0.3833
{txt}{col 49}R-squared{col 67}= {res}    0.0942
{txt}{col 49}Adj R-squared{col 67}= {res}   -0.0336
{txt}{col 49}Root MSE{col 67}= {res}    0.7003

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}e_h_ctzpre~z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2} -.134271{col 26}{space 2} .1034163{col 37}{space 1}   -1.30{col 46}{space 3}0.196{col 54}{space 4}-.3384793{col 67}{space 3} .0699373
{txt}b_h_ctzpre~z {c |}{col 14}{res}{space 2} .0079571{col 26}{space 2} .0641321{col 37}{space 1}    0.12{col 46}{space 3}0.901{col 54}{space 4}-.1186797{col 67}{space 3} .1345939
{txt}c_tf~_hc_hc2 {c |}{col 14}{res}{space 2}-.0584948{col 26}{space 2} .1591786{col 37}{space 1}   -0.37{col 46}{space 3}0.714{col 54}{space 4}-.3728128{col 67}{space 3} .2558233
{txt}c_tfull_hc~l {c |}{col 14}{res}{space 2} .0323762{col 26}{space 2} .1552813{col 37}{space 1}    0.21{col 46}{space 3}0.835{col 54}{space 4}-.2742462{col 67}{space 3} .3389986
{txt}c_tfull_hc~s {c |}{col 14}{res}{space 2} .3169935{col 26}{space 2} .1844047{col 37}{space 1}    1.72{col 46}{space 3}0.088{col 54}{space 4}-.0471364{col 67}{space 3} .6811235
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2}-.3642223{col 26}{space 2} .5401904{col 37}{space 1}   -0.67{col 46}{space 3}0.501{col 54}{space 4}-1.430896{col 67}{space 3}  .702451
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2} .0153474{col 26}{space 2} .0701729{col 37}{space 1}    0.22{col 46}{space 3}0.827{col 54}{space 4}-.1232177{col 67}{space 3} .1539126
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2}-.1248174{col 26}{space 2}  .212503{col 37}{space 1}   -0.59{col 46}{space 3}0.558{col 54}{space 4} -.544431{col 67}{space 3} .2947962
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} .0132367{col 26}{space 2}  .067043{col 37}{space 1}    0.20{col 46}{space 3}0.844{col 54}{space 4} -.119148{col 67}{space 3} .1456214
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull = .12{p_end}

{txt}       F(  1,   163) ={res}    6.05
{txt}{col 13}Prob > F ={res}    0.0150

{p 0 7}{space 1}{text:( 1)}{space 1} treatfull = -.12{p_end}

{txt}       F(  1,   163) ={res}    0.02
{txt}{col 13}Prob > F ={res}    0.8904

{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}       187
{txt}{col 49}F({res}   8{txt},{res}    163{txt}){col 67}= {res}      1.07
{txt}{col 49}Prob > F{col 67}= {res}    0.3833
{txt}{col 49}R-squared{col 67}= {res}    0.0942
{txt}{col 49}Adj R-squared{col 67}= {res}   -0.0336
{txt}{col 49}Root MSE{col 67}= {res}    0.7003

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}e_h_ctzpre~z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2} -.134271{col 26}{space 2} .1034163{col 37}{space 1}   -1.30{col 46}{space 3}0.196{col 54}{space 4}-.3384793{col 67}{space 3} .0699373
{txt}b_h_ctzpre~z {c |}{col 14}{res}{space 2} .0079571{col 26}{space 2} .0641321{col 37}{space 1}    0.12{col 46}{space 3}0.901{col 54}{space 4}-.1186797{col 67}{space 3} .1345939
{txt}c_tf~_hc_hc2 {c |}{col 14}{res}{space 2}-.0584948{col 26}{space 2} .1591786{col 37}{space 1}   -0.37{col 46}{space 3}0.714{col 54}{space 4}-.3728128{col 67}{space 3} .2558233
{txt}c_tfull_hc~l {c |}{col 14}{res}{space 2} .0323762{col 26}{space 2} .1552813{col 37}{space 1}    0.21{col 46}{space 3}0.835{col 54}{space 4}-.2742462{col 67}{space 3} .3389986
{txt}c_tfull_hc~s {c |}{col 14}{res}{space 2} .3169935{col 26}{space 2} .1844047{col 37}{space 1}    1.72{col 46}{space 3}0.088{col 54}{space 4}-.0471364{col 67}{space 3} .6811235
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2}-.3642223{col 26}{space 2} .5401904{col 37}{space 1}   -0.67{col 46}{space 3}0.501{col 54}{space 4}-1.430896{col 67}{space 3}  .702451
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2} .0153474{col 26}{space 2} .0701729{col 37}{space 1}    0.22{col 46}{space 3}0.827{col 54}{space 4}-.1232177{col 67}{space 3} .1539126
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2}-.1248174{col 26}{space 2}  .212503{col 37}{space 1}   -0.59{col 46}{space 3}0.558{col 54}{space 4} -.544431{col 67}{space 3} .2947962
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} .0132367{col 26}{space 2}  .067043{col 37}{space 1}    0.20{col 46}{space 3}0.844{col 54}{space 4} -.119148{col 67}{space 3} .1456214
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull = .121{p_end}

{txt}       F(  1,   163) ={res}    6.09
{txt}{col 13}Prob > F ={res}    0.0146

{p 0 7}{space 1}{text:( 1)}{space 1} treatfull = -.121{p_end}

{txt}       F(  1,   163) ={res}    0.02
{txt}{col 13}Prob > F ={res}    0.8980

{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}       187
{txt}{col 49}F({res}   8{txt},{res}    163{txt}){col 67}= {res}      1.07
{txt}{col 49}Prob > F{col 67}= {res}    0.3833
{txt}{col 49}R-squared{col 67}= {res}    0.0942
{txt}{col 49}Adj R-squared{col 67}= {res}   -0.0336
{txt}{col 49}Root MSE{col 67}= {res}    0.7003

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}e_h_ctzpre~z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2} -.134271{col 26}{space 2} .1034163{col 37}{space 1}   -1.30{col 46}{space 3}0.196{col 54}{space 4}-.3384793{col 67}{space 3} .0699373
{txt}b_h_ctzpre~z {c |}{col 14}{res}{space 2} .0079571{col 26}{space 2} .0641321{col 37}{space 1}    0.12{col 46}{space 3}0.901{col 54}{space 4}-.1186797{col 67}{space 3} .1345939
{txt}c_tf~_hc_hc2 {c |}{col 14}{res}{space 2}-.0584948{col 26}{space 2} .1591786{col 37}{space 1}   -0.37{col 46}{space 3}0.714{col 54}{space 4}-.3728128{col 67}{space 3} .2558233
{txt}c_tfull_hc~l {c |}{col 14}{res}{space 2} .0323762{col 26}{space 2} .1552813{col 37}{space 1}    0.21{col 46}{space 3}0.835{col 54}{space 4}-.2742462{col 67}{space 3} .3389986
{txt}c_tfull_hc~s {c |}{col 14}{res}{space 2} .3169935{col 26}{space 2} .1844047{col 37}{space 1}    1.72{col 46}{space 3}0.088{col 54}{space 4}-.0471364{col 67}{space 3} .6811235
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2}-.3642223{col 26}{space 2} .5401904{col 37}{space 1}   -0.67{col 46}{space 3}0.501{col 54}{space 4}-1.430896{col 67}{space 3}  .702451
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2} .0153474{col 26}{space 2} .0701729{col 37}{space 1}    0.22{col 46}{space 3}0.827{col 54}{space 4}-.1232177{col 67}{space 3} .1539126
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2}-.1248174{col 26}{space 2}  .212503{col 37}{space 1}   -0.59{col 46}{space 3}0.558{col 54}{space 4} -.544431{col 67}{space 3} .2947962
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} .0132367{col 26}{space 2}  .067043{col 37}{space 1}    0.20{col 46}{space 3}0.844{col 54}{space 4} -.119148{col 67}{space 3} .1456214
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull = .122{p_end}

{txt}       F(  1,   163) ={res}    6.14
{txt}{col 13}Prob > F ={res}    0.0142

{p 0 7}{space 1}{text:( 1)}{space 1} treatfull = -.122{p_end}

{txt}       F(  1,   163) ={res}    0.01
{txt}{col 13}Prob > F ={res}    0.9057

{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}       187
{txt}{col 49}F({res}   8{txt},{res}    163{txt}){col 67}= {res}      1.07
{txt}{col 49}Prob > F{col 67}= {res}    0.3833
{txt}{col 49}R-squared{col 67}= {res}    0.0942
{txt}{col 49}Adj R-squared{col 67}= {res}   -0.0336
{txt}{col 49}Root MSE{col 67}= {res}    0.7003

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}e_h_ctzpre~z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2} -.134271{col 26}{space 2} .1034163{col 37}{space 1}   -1.30{col 46}{space 3}0.196{col 54}{space 4}-.3384793{col 67}{space 3} .0699373
{txt}b_h_ctzpre~z {c |}{col 14}{res}{space 2} .0079571{col 26}{space 2} .0641321{col 37}{space 1}    0.12{col 46}{space 3}0.901{col 54}{space 4}-.1186797{col 67}{space 3} .1345939
{txt}c_tf~_hc_hc2 {c |}{col 14}{res}{space 2}-.0584948{col 26}{space 2} .1591786{col 37}{space 1}   -0.37{col 46}{space 3}0.714{col 54}{space 4}-.3728128{col 67}{space 3} .2558233
{txt}c_tfull_hc~l {c |}{col 14}{res}{space 2} .0323762{col 26}{space 2} .1552813{col 37}{space 1}    0.21{col 46}{space 3}0.835{col 54}{space 4}-.2742462{col 67}{space 3} .3389986
{txt}c_tfull_hc~s {c |}{col 14}{res}{space 2} .3169935{col 26}{space 2} .1844047{col 37}{space 1}    1.72{col 46}{space 3}0.088{col 54}{space 4}-.0471364{col 67}{space 3} .6811235
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2}-.3642223{col 26}{space 2} .5401904{col 37}{space 1}   -0.67{col 46}{space 3}0.501{col 54}{space 4}-1.430896{col 67}{space 3}  .702451
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2} .0153474{col 26}{space 2} .0701729{col 37}{space 1}    0.22{col 46}{space 3}0.827{col 54}{space 4}-.1232177{col 67}{space 3} .1539126
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2}-.1248174{col 26}{space 2}  .212503{col 37}{space 1}   -0.59{col 46}{space 3}0.558{col 54}{space 4} -.544431{col 67}{space 3} .2947962
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} .0132367{col 26}{space 2}  .067043{col 37}{space 1}    0.20{col 46}{space 3}0.844{col 54}{space 4} -.119148{col 67}{space 3} .1456214
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull = .123{p_end}

{txt}       F(  1,   163) ={res}    6.19
{txt}{col 13}Prob > F ={res}    0.0139

{p 0 7}{space 1}{text:( 1)}{space 1} treatfull = -.123{p_end}

{txt}       F(  1,   163) ={res}    0.01
{txt}{col 13}Prob > F ={res}    0.9133

{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}       187
{txt}{col 49}F({res}   8{txt},{res}    163{txt}){col 67}= {res}      1.07
{txt}{col 49}Prob > F{col 67}= {res}    0.3833
{txt}{col 49}R-squared{col 67}= {res}    0.0942
{txt}{col 49}Adj R-squared{col 67}= {res}   -0.0336
{txt}{col 49}Root MSE{col 67}= {res}    0.7003

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}e_h_ctzpre~z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2} -.134271{col 26}{space 2} .1034163{col 37}{space 1}   -1.30{col 46}{space 3}0.196{col 54}{space 4}-.3384793{col 67}{space 3} .0699373
{txt}b_h_ctzpre~z {c |}{col 14}{res}{space 2} .0079571{col 26}{space 2} .0641321{col 37}{space 1}    0.12{col 46}{space 3}0.901{col 54}{space 4}-.1186797{col 67}{space 3} .1345939
{txt}c_tf~_hc_hc2 {c |}{col 14}{res}{space 2}-.0584948{col 26}{space 2} .1591786{col 37}{space 1}   -0.37{col 46}{space 3}0.714{col 54}{space 4}-.3728128{col 67}{space 3} .2558233
{txt}c_tfull_hc~l {c |}{col 14}{res}{space 2} .0323762{col 26}{space 2} .1552813{col 37}{space 1}    0.21{col 46}{space 3}0.835{col 54}{space 4}-.2742462{col 67}{space 3} .3389986
{txt}c_tfull_hc~s {c |}{col 14}{res}{space 2} .3169935{col 26}{space 2} .1844047{col 37}{space 1}    1.72{col 46}{space 3}0.088{col 54}{space 4}-.0471364{col 67}{space 3} .6811235
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2}-.3642223{col 26}{space 2} .5401904{col 37}{space 1}   -0.67{col 46}{space 3}0.501{col 54}{space 4}-1.430896{col 67}{space 3}  .702451
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2} .0153474{col 26}{space 2} .0701729{col 37}{space 1}    0.22{col 46}{space 3}0.827{col 54}{space 4}-.1232177{col 67}{space 3} .1539126
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2}-.1248174{col 26}{space 2}  .212503{col 37}{space 1}   -0.59{col 46}{space 3}0.558{col 54}{space 4} -.544431{col 67}{space 3} .2947962
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} .0132367{col 26}{space 2}  .067043{col 37}{space 1}    0.20{col 46}{space 3}0.844{col 54}{space 4} -.119148{col 67}{space 3} .1456214
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull = .124{p_end}

{txt}       F(  1,   163) ={res}    6.24
{txt}{col 13}Prob > F ={res}    0.0135

{p 0 7}{space 1}{text:( 1)}{space 1} treatfull = -.124{p_end}

{txt}       F(  1,   163) ={res}    0.01
{txt}{col 13}Prob > F ={res}    0.9210

{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}       187
{txt}{col 49}F({res}   8{txt},{res}    163{txt}){col 67}= {res}      1.07
{txt}{col 49}Prob > F{col 67}= {res}    0.3833
{txt}{col 49}R-squared{col 67}= {res}    0.0942
{txt}{col 49}Adj R-squared{col 67}= {res}   -0.0336
{txt}{col 49}Root MSE{col 67}= {res}    0.7003

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}e_h_ctzpre~z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2} -.134271{col 26}{space 2} .1034163{col 37}{space 1}   -1.30{col 46}{space 3}0.196{col 54}{space 4}-.3384793{col 67}{space 3} .0699373
{txt}b_h_ctzpre~z {c |}{col 14}{res}{space 2} .0079571{col 26}{space 2} .0641321{col 37}{space 1}    0.12{col 46}{space 3}0.901{col 54}{space 4}-.1186797{col 67}{space 3} .1345939
{txt}c_tf~_hc_hc2 {c |}{col 14}{res}{space 2}-.0584948{col 26}{space 2} .1591786{col 37}{space 1}   -0.37{col 46}{space 3}0.714{col 54}{space 4}-.3728128{col 67}{space 3} .2558233
{txt}c_tfull_hc~l {c |}{col 14}{res}{space 2} .0323762{col 26}{space 2} .1552813{col 37}{space 1}    0.21{col 46}{space 3}0.835{col 54}{space 4}-.2742462{col 67}{space 3} .3389986
{txt}c_tfull_hc~s {c |}{col 14}{res}{space 2} .3169935{col 26}{space 2} .1844047{col 37}{space 1}    1.72{col 46}{space 3}0.088{col 54}{space 4}-.0471364{col 67}{space 3} .6811235
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2}-.3642223{col 26}{space 2} .5401904{col 37}{space 1}   -0.67{col 46}{space 3}0.501{col 54}{space 4}-1.430896{col 67}{space 3}  .702451
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2} .0153474{col 26}{space 2} .0701729{col 37}{space 1}    0.22{col 46}{space 3}0.827{col 54}{space 4}-.1232177{col 67}{space 3} .1539126
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2}-.1248174{col 26}{space 2}  .212503{col 37}{space 1}   -0.59{col 46}{space 3}0.558{col 54}{space 4} -.544431{col 67}{space 3} .2947962
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} .0132367{col 26}{space 2}  .067043{col 37}{space 1}    0.20{col 46}{space 3}0.844{col 54}{space 4} -.119148{col 67}{space 3} .1456214
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull = .125{p_end}

{txt}       F(  1,   163) ={res}    6.29
{txt}{col 13}Prob > F ={res}    0.0132

{p 0 7}{space 1}{text:( 1)}{space 1} treatfull = -.125{p_end}

{txt}       F(  1,   163) ={res}    0.01
{txt}{col 13}Prob > F ={res}    0.9287

{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}       187
{txt}{col 49}F({res}   8{txt},{res}    163{txt}){col 67}= {res}      1.07
{txt}{col 49}Prob > F{col 67}= {res}    0.3833
{txt}{col 49}R-squared{col 67}= {res}    0.0942
{txt}{col 49}Adj R-squared{col 67}= {res}   -0.0336
{txt}{col 49}Root MSE{col 67}= {res}    0.7003

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}e_h_ctzpre~z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2} -.134271{col 26}{space 2} .1034163{col 37}{space 1}   -1.30{col 46}{space 3}0.196{col 54}{space 4}-.3384793{col 67}{space 3} .0699373
{txt}b_h_ctzpre~z {c |}{col 14}{res}{space 2} .0079571{col 26}{space 2} .0641321{col 37}{space 1}    0.12{col 46}{space 3}0.901{col 54}{space 4}-.1186797{col 67}{space 3} .1345939
{txt}c_tf~_hc_hc2 {c |}{col 14}{res}{space 2}-.0584948{col 26}{space 2} .1591786{col 37}{space 1}   -0.37{col 46}{space 3}0.714{col 54}{space 4}-.3728128{col 67}{space 3} .2558233
{txt}c_tfull_hc~l {c |}{col 14}{res}{space 2} .0323762{col 26}{space 2} .1552813{col 37}{space 1}    0.21{col 46}{space 3}0.835{col 54}{space 4}-.2742462{col 67}{space 3} .3389986
{txt}c_tfull_hc~s {c |}{col 14}{res}{space 2} .3169935{col 26}{space 2} .1844047{col 37}{space 1}    1.72{col 46}{space 3}0.088{col 54}{space 4}-.0471364{col 67}{space 3} .6811235
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2}-.3642223{col 26}{space 2} .5401904{col 37}{space 1}   -0.67{col 46}{space 3}0.501{col 54}{space 4}-1.430896{col 67}{space 3}  .702451
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2} .0153474{col 26}{space 2} .0701729{col 37}{space 1}    0.22{col 46}{space 3}0.827{col 54}{space 4}-.1232177{col 67}{space 3} .1539126
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2}-.1248174{col 26}{space 2}  .212503{col 37}{space 1}   -0.59{col 46}{space 3}0.558{col 54}{space 4} -.544431{col 67}{space 3} .2947962
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} .0132367{col 26}{space 2}  .067043{col 37}{space 1}    0.20{col 46}{space 3}0.844{col 54}{space 4} -.119148{col 67}{space 3} .1456214
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull = .126{p_end}

{txt}       F(  1,   163) ={res}    6.33
{txt}{col 13}Prob > F ={res}    0.0128

{p 0 7}{space 1}{text:( 1)}{space 1} treatfull = -.126{p_end}

{txt}       F(  1,   163) ={res}    0.01
{txt}{col 13}Prob > F ={res}    0.9364

{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}       187
{txt}{col 49}F({res}   8{txt},{res}    163{txt}){col 67}= {res}      1.07
{txt}{col 49}Prob > F{col 67}= {res}    0.3833
{txt}{col 49}R-squared{col 67}= {res}    0.0942
{txt}{col 49}Adj R-squared{col 67}= {res}   -0.0336
{txt}{col 49}Root MSE{col 67}= {res}    0.7003

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}e_h_ctzpre~z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2} -.134271{col 26}{space 2} .1034163{col 37}{space 1}   -1.30{col 46}{space 3}0.196{col 54}{space 4}-.3384793{col 67}{space 3} .0699373
{txt}b_h_ctzpre~z {c |}{col 14}{res}{space 2} .0079571{col 26}{space 2} .0641321{col 37}{space 1}    0.12{col 46}{space 3}0.901{col 54}{space 4}-.1186797{col 67}{space 3} .1345939
{txt}c_tf~_hc_hc2 {c |}{col 14}{res}{space 2}-.0584948{col 26}{space 2} .1591786{col 37}{space 1}   -0.37{col 46}{space 3}0.714{col 54}{space 4}-.3728128{col 67}{space 3} .2558233
{txt}c_tfull_hc~l {c |}{col 14}{res}{space 2} .0323762{col 26}{space 2} .1552813{col 37}{space 1}    0.21{col 46}{space 3}0.835{col 54}{space 4}-.2742462{col 67}{space 3} .3389986
{txt}c_tfull_hc~s {c |}{col 14}{res}{space 2} .3169935{col 26}{space 2} .1844047{col 37}{space 1}    1.72{col 46}{space 3}0.088{col 54}{space 4}-.0471364{col 67}{space 3} .6811235
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2}-.3642223{col 26}{space 2} .5401904{col 37}{space 1}   -0.67{col 46}{space 3}0.501{col 54}{space 4}-1.430896{col 67}{space 3}  .702451
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2} .0153474{col 26}{space 2} .0701729{col 37}{space 1}    0.22{col 46}{space 3}0.827{col 54}{space 4}-.1232177{col 67}{space 3} .1539126
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2}-.1248174{col 26}{space 2}  .212503{col 37}{space 1}   -0.59{col 46}{space 3}0.558{col 54}{space 4} -.544431{col 67}{space 3} .2947962
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} .0132367{col 26}{space 2}  .067043{col 37}{space 1}    0.20{col 46}{space 3}0.844{col 54}{space 4} -.119148{col 67}{space 3} .1456214
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull = .127{p_end}

{txt}       F(  1,   163) ={res}    6.38
{txt}{col 13}Prob > F ={res}    0.0125

{p 0 7}{space 1}{text:( 1)}{space 1} treatfull = -.127{p_end}

{txt}       F(  1,   163) ={res}    0.00
{txt}{col 13}Prob > F ={res}    0.9440

{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}       187
{txt}{col 49}F({res}   8{txt},{res}    163{txt}){col 67}= {res}      1.07
{txt}{col 49}Prob > F{col 67}= {res}    0.3833
{txt}{col 49}R-squared{col 67}= {res}    0.0942
{txt}{col 49}Adj R-squared{col 67}= {res}   -0.0336
{txt}{col 49}Root MSE{col 67}= {res}    0.7003

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}e_h_ctzpre~z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2} -.134271{col 26}{space 2} .1034163{col 37}{space 1}   -1.30{col 46}{space 3}0.196{col 54}{space 4}-.3384793{col 67}{space 3} .0699373
{txt}b_h_ctzpre~z {c |}{col 14}{res}{space 2} .0079571{col 26}{space 2} .0641321{col 37}{space 1}    0.12{col 46}{space 3}0.901{col 54}{space 4}-.1186797{col 67}{space 3} .1345939
{txt}c_tf~_hc_hc2 {c |}{col 14}{res}{space 2}-.0584948{col 26}{space 2} .1591786{col 37}{space 1}   -0.37{col 46}{space 3}0.714{col 54}{space 4}-.3728128{col 67}{space 3} .2558233
{txt}c_tfull_hc~l {c |}{col 14}{res}{space 2} .0323762{col 26}{space 2} .1552813{col 37}{space 1}    0.21{col 46}{space 3}0.835{col 54}{space 4}-.2742462{col 67}{space 3} .3389986
{txt}c_tfull_hc~s {c |}{col 14}{res}{space 2} .3169935{col 26}{space 2} .1844047{col 37}{space 1}    1.72{col 46}{space 3}0.088{col 54}{space 4}-.0471364{col 67}{space 3} .6811235
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2}-.3642223{col 26}{space 2} .5401904{col 37}{space 1}   -0.67{col 46}{space 3}0.501{col 54}{space 4}-1.430896{col 67}{space 3}  .702451
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2} .0153474{col 26}{space 2} .0701729{col 37}{space 1}    0.22{col 46}{space 3}0.827{col 54}{space 4}-.1232177{col 67}{space 3} .1539126
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2}-.1248174{col 26}{space 2}  .212503{col 37}{space 1}   -0.59{col 46}{space 3}0.558{col 54}{space 4} -.544431{col 67}{space 3} .2947962
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} .0132367{col 26}{space 2}  .067043{col 37}{space 1}    0.20{col 46}{space 3}0.844{col 54}{space 4} -.119148{col 67}{space 3} .1456214
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull = .128{p_end}

{txt}       F(  1,   163) ={res}    6.43
{txt}{col 13}Prob > F ={res}    0.0122

{p 0 7}{space 1}{text:( 1)}{space 1} treatfull = -.128{p_end}

{txt}       F(  1,   163) ={res}    0.00
{txt}{col 13}Prob > F ={res}    0.9517

{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}       187
{txt}{col 49}F({res}   8{txt},{res}    163{txt}){col 67}= {res}      1.07
{txt}{col 49}Prob > F{col 67}= {res}    0.3833
{txt}{col 49}R-squared{col 67}= {res}    0.0942
{txt}{col 49}Adj R-squared{col 67}= {res}   -0.0336
{txt}{col 49}Root MSE{col 67}= {res}    0.7003

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}e_h_ctzpre~z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2} -.134271{col 26}{space 2} .1034163{col 37}{space 1}   -1.30{col 46}{space 3}0.196{col 54}{space 4}-.3384793{col 67}{space 3} .0699373
{txt}b_h_ctzpre~z {c |}{col 14}{res}{space 2} .0079571{col 26}{space 2} .0641321{col 37}{space 1}    0.12{col 46}{space 3}0.901{col 54}{space 4}-.1186797{col 67}{space 3} .1345939
{txt}c_tf~_hc_hc2 {c |}{col 14}{res}{space 2}-.0584948{col 26}{space 2} .1591786{col 37}{space 1}   -0.37{col 46}{space 3}0.714{col 54}{space 4}-.3728128{col 67}{space 3} .2558233
{txt}c_tfull_hc~l {c |}{col 14}{res}{space 2} .0323762{col 26}{space 2} .1552813{col 37}{space 1}    0.21{col 46}{space 3}0.835{col 54}{space 4}-.2742462{col 67}{space 3} .3389986
{txt}c_tfull_hc~s {c |}{col 14}{res}{space 2} .3169935{col 26}{space 2} .1844047{col 37}{space 1}    1.72{col 46}{space 3}0.088{col 54}{space 4}-.0471364{col 67}{space 3} .6811235
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2}-.3642223{col 26}{space 2} .5401904{col 37}{space 1}   -0.67{col 46}{space 3}0.501{col 54}{space 4}-1.430896{col 67}{space 3}  .702451
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2} .0153474{col 26}{space 2} .0701729{col 37}{space 1}    0.22{col 46}{space 3}0.827{col 54}{space 4}-.1232177{col 67}{space 3} .1539126
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2}-.1248174{col 26}{space 2}  .212503{col 37}{space 1}   -0.59{col 46}{space 3}0.558{col 54}{space 4} -.544431{col 67}{space 3} .2947962
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} .0132367{col 26}{space 2}  .067043{col 37}{space 1}    0.20{col 46}{space 3}0.844{col 54}{space 4} -.119148{col 67}{space 3} .1456214
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull = .129{p_end}

{txt}       F(  1,   163) ={res}    6.48
{txt}{col 13}Prob > F ={res}    0.0118

{p 0 7}{space 1}{text:( 1)}{space 1} treatfull = -.129{p_end}

{txt}       F(  1,   163) ={res}    0.00
{txt}{col 13}Prob > F ={res}    0.9594

{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}       187
{txt}{col 49}F({res}   8{txt},{res}    163{txt}){col 67}= {res}      1.07
{txt}{col 49}Prob > F{col 67}= {res}    0.3833
{txt}{col 49}R-squared{col 67}= {res}    0.0942
{txt}{col 49}Adj R-squared{col 67}= {res}   -0.0336
{txt}{col 49}Root MSE{col 67}= {res}    0.7003

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}e_h_ctzpre~z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2} -.134271{col 26}{space 2} .1034163{col 37}{space 1}   -1.30{col 46}{space 3}0.196{col 54}{space 4}-.3384793{col 67}{space 3} .0699373
{txt}b_h_ctzpre~z {c |}{col 14}{res}{space 2} .0079571{col 26}{space 2} .0641321{col 37}{space 1}    0.12{col 46}{space 3}0.901{col 54}{space 4}-.1186797{col 67}{space 3} .1345939
{txt}c_tf~_hc_hc2 {c |}{col 14}{res}{space 2}-.0584948{col 26}{space 2} .1591786{col 37}{space 1}   -0.37{col 46}{space 3}0.714{col 54}{space 4}-.3728128{col 67}{space 3} .2558233
{txt}c_tfull_hc~l {c |}{col 14}{res}{space 2} .0323762{col 26}{space 2} .1552813{col 37}{space 1}    0.21{col 46}{space 3}0.835{col 54}{space 4}-.2742462{col 67}{space 3} .3389986
{txt}c_tfull_hc~s {c |}{col 14}{res}{space 2} .3169935{col 26}{space 2} .1844047{col 37}{space 1}    1.72{col 46}{space 3}0.088{col 54}{space 4}-.0471364{col 67}{space 3} .6811235
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2}-.3642223{col 26}{space 2} .5401904{col 37}{space 1}   -0.67{col 46}{space 3}0.501{col 54}{space 4}-1.430896{col 67}{space 3}  .702451
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2} .0153474{col 26}{space 2} .0701729{col 37}{space 1}    0.22{col 46}{space 3}0.827{col 54}{space 4}-.1232177{col 67}{space 3} .1539126
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2}-.1248174{col 26}{space 2}  .212503{col 37}{space 1}   -0.59{col 46}{space 3}0.558{col 54}{space 4} -.544431{col 67}{space 3} .2947962
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} .0132367{col 26}{space 2}  .067043{col 37}{space 1}    0.20{col 46}{space 3}0.844{col 54}{space 4} -.119148{col 67}{space 3} .1456214
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull = .13{p_end}

{txt}       F(  1,   163) ={res}    6.53
{txt}{col 13}Prob > F ={res}    0.0115

{p 0 7}{space 1}{text:( 1)}{space 1} treatfull = -.13{p_end}

{txt}       F(  1,   163) ={res}    0.00
{txt}{col 13}Prob > F ={res}    0.9671

{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}       187
{txt}{col 49}F({res}   8{txt},{res}    163{txt}){col 67}= {res}      1.07
{txt}{col 49}Prob > F{col 67}= {res}    0.3833
{txt}{col 49}R-squared{col 67}= {res}    0.0942
{txt}{col 49}Adj R-squared{col 67}= {res}   -0.0336
{txt}{col 49}Root MSE{col 67}= {res}    0.7003

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}e_h_ctzpre~z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2} -.134271{col 26}{space 2} .1034163{col 37}{space 1}   -1.30{col 46}{space 3}0.196{col 54}{space 4}-.3384793{col 67}{space 3} .0699373
{txt}b_h_ctzpre~z {c |}{col 14}{res}{space 2} .0079571{col 26}{space 2} .0641321{col 37}{space 1}    0.12{col 46}{space 3}0.901{col 54}{space 4}-.1186797{col 67}{space 3} .1345939
{txt}c_tf~_hc_hc2 {c |}{col 14}{res}{space 2}-.0584948{col 26}{space 2} .1591786{col 37}{space 1}   -0.37{col 46}{space 3}0.714{col 54}{space 4}-.3728128{col 67}{space 3} .2558233
{txt}c_tfull_hc~l {c |}{col 14}{res}{space 2} .0323762{col 26}{space 2} .1552813{col 37}{space 1}    0.21{col 46}{space 3}0.835{col 54}{space 4}-.2742462{col 67}{space 3} .3389986
{txt}c_tfull_hc~s {c |}{col 14}{res}{space 2} .3169935{col 26}{space 2} .1844047{col 37}{space 1}    1.72{col 46}{space 3}0.088{col 54}{space 4}-.0471364{col 67}{space 3} .6811235
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2}-.3642223{col 26}{space 2} .5401904{col 37}{space 1}   -0.67{col 46}{space 3}0.501{col 54}{space 4}-1.430896{col 67}{space 3}  .702451
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2} .0153474{col 26}{space 2} .0701729{col 37}{space 1}    0.22{col 46}{space 3}0.827{col 54}{space 4}-.1232177{col 67}{space 3} .1539126
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2}-.1248174{col 26}{space 2}  .212503{col 37}{space 1}   -0.59{col 46}{space 3}0.558{col 54}{space 4} -.544431{col 67}{space 3} .2947962
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} .0132367{col 26}{space 2}  .067043{col 37}{space 1}    0.20{col 46}{space 3}0.844{col 54}{space 4} -.119148{col 67}{space 3} .1456214
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull = .131{p_end}

{txt}       F(  1,   163) ={res}    6.58
{txt}{col 13}Prob > F ={res}    0.0112

{p 0 7}{space 1}{text:( 1)}{space 1} treatfull = -.131{p_end}

{txt}       F(  1,   163) ={res}    0.00
{txt}{col 13}Prob > F ={res}    0.9748

{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}       187
{txt}{col 49}F({res}   8{txt},{res}    163{txt}){col 67}= {res}      1.07
{txt}{col 49}Prob > F{col 67}= {res}    0.3833
{txt}{col 49}R-squared{col 67}= {res}    0.0942
{txt}{col 49}Adj R-squared{col 67}= {res}   -0.0336
{txt}{col 49}Root MSE{col 67}= {res}    0.7003

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}e_h_ctzpre~z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2} -.134271{col 26}{space 2} .1034163{col 37}{space 1}   -1.30{col 46}{space 3}0.196{col 54}{space 4}-.3384793{col 67}{space 3} .0699373
{txt}b_h_ctzpre~z {c |}{col 14}{res}{space 2} .0079571{col 26}{space 2} .0641321{col 37}{space 1}    0.12{col 46}{space 3}0.901{col 54}{space 4}-.1186797{col 67}{space 3} .1345939
{txt}c_tf~_hc_hc2 {c |}{col 14}{res}{space 2}-.0584948{col 26}{space 2} .1591786{col 37}{space 1}   -0.37{col 46}{space 3}0.714{col 54}{space 4}-.3728128{col 67}{space 3} .2558233
{txt}c_tfull_hc~l {c |}{col 14}{res}{space 2} .0323762{col 26}{space 2} .1552813{col 37}{space 1}    0.21{col 46}{space 3}0.835{col 54}{space 4}-.2742462{col 67}{space 3} .3389986
{txt}c_tfull_hc~s {c |}{col 14}{res}{space 2} .3169935{col 26}{space 2} .1844047{col 37}{space 1}    1.72{col 46}{space 3}0.088{col 54}{space 4}-.0471364{col 67}{space 3} .6811235
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2}-.3642223{col 26}{space 2} .5401904{col 37}{space 1}   -0.67{col 46}{space 3}0.501{col 54}{space 4}-1.430896{col 67}{space 3}  .702451
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2} .0153474{col 26}{space 2} .0701729{col 37}{space 1}    0.22{col 46}{space 3}0.827{col 54}{space 4}-.1232177{col 67}{space 3} .1539126
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2}-.1248174{col 26}{space 2}  .212503{col 37}{space 1}   -0.59{col 46}{space 3}0.558{col 54}{space 4} -.544431{col 67}{space 3} .2947962
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} .0132367{col 26}{space 2}  .067043{col 37}{space 1}    0.20{col 46}{space 3}0.844{col 54}{space 4} -.119148{col 67}{space 3} .1456214
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull = .132{p_end}

{txt}       F(  1,   163) ={res}    6.63
{txt}{col 13}Prob > F ={res}    0.0109

{p 0 7}{space 1}{text:( 1)}{space 1} treatfull = -.132{p_end}

{txt}       F(  1,   163) ={res}    0.00
{txt}{col 13}Prob > F ={res}    0.9825

{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}       187
{txt}{col 49}F({res}   8{txt},{res}    163{txt}){col 67}= {res}      1.07
{txt}{col 49}Prob > F{col 67}= {res}    0.3833
{txt}{col 49}R-squared{col 67}= {res}    0.0942
{txt}{col 49}Adj R-squared{col 67}= {res}   -0.0336
{txt}{col 49}Root MSE{col 67}= {res}    0.7003

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}e_h_ctzpre~z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2} -.134271{col 26}{space 2} .1034163{col 37}{space 1}   -1.30{col 46}{space 3}0.196{col 54}{space 4}-.3384793{col 67}{space 3} .0699373
{txt}b_h_ctzpre~z {c |}{col 14}{res}{space 2} .0079571{col 26}{space 2} .0641321{col 37}{space 1}    0.12{col 46}{space 3}0.901{col 54}{space 4}-.1186797{col 67}{space 3} .1345939
{txt}c_tf~_hc_hc2 {c |}{col 14}{res}{space 2}-.0584948{col 26}{space 2} .1591786{col 37}{space 1}   -0.37{col 46}{space 3}0.714{col 54}{space 4}-.3728128{col 67}{space 3} .2558233
{txt}c_tfull_hc~l {c |}{col 14}{res}{space 2} .0323762{col 26}{space 2} .1552813{col 37}{space 1}    0.21{col 46}{space 3}0.835{col 54}{space 4}-.2742462{col 67}{space 3} .3389986
{txt}c_tfull_hc~s {c |}{col 14}{res}{space 2} .3169935{col 26}{space 2} .1844047{col 37}{space 1}    1.72{col 46}{space 3}0.088{col 54}{space 4}-.0471364{col 67}{space 3} .6811235
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2}-.3642223{col 26}{space 2} .5401904{col 37}{space 1}   -0.67{col 46}{space 3}0.501{col 54}{space 4}-1.430896{col 67}{space 3}  .702451
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2} .0153474{col 26}{space 2} .0701729{col 37}{space 1}    0.22{col 46}{space 3}0.827{col 54}{space 4}-.1232177{col 67}{space 3} .1539126
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2}-.1248174{col 26}{space 2}  .212503{col 37}{space 1}   -0.59{col 46}{space 3}0.558{col 54}{space 4} -.544431{col 67}{space 3} .2947962
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} .0132367{col 26}{space 2}  .067043{col 37}{space 1}    0.20{col 46}{space 3}0.844{col 54}{space 4} -.119148{col 67}{space 3} .1456214
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull = .133{p_end}

{txt}       F(  1,   163) ={res}    6.68
{txt}{col 13}Prob > F ={res}    0.0106

{p 0 7}{space 1}{text:( 1)}{space 1} treatfull = -.133{p_end}

{txt}       F(  1,   163) ={res}    0.00
{txt}{col 13}Prob > F ={res}    0.9902

{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}       187
{txt}{col 49}F({res}   8{txt},{res}    163{txt}){col 67}= {res}      1.07
{txt}{col 49}Prob > F{col 67}= {res}    0.3833
{txt}{col 49}R-squared{col 67}= {res}    0.0942
{txt}{col 49}Adj R-squared{col 67}= {res}   -0.0336
{txt}{col 49}Root MSE{col 67}= {res}    0.7003

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}e_h_ctzpre~z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2} -.134271{col 26}{space 2} .1034163{col 37}{space 1}   -1.30{col 46}{space 3}0.196{col 54}{space 4}-.3384793{col 67}{space 3} .0699373
{txt}b_h_ctzpre~z {c |}{col 14}{res}{space 2} .0079571{col 26}{space 2} .0641321{col 37}{space 1}    0.12{col 46}{space 3}0.901{col 54}{space 4}-.1186797{col 67}{space 3} .1345939
{txt}c_tf~_hc_hc2 {c |}{col 14}{res}{space 2}-.0584948{col 26}{space 2} .1591786{col 37}{space 1}   -0.37{col 46}{space 3}0.714{col 54}{space 4}-.3728128{col 67}{space 3} .2558233
{txt}c_tfull_hc~l {c |}{col 14}{res}{space 2} .0323762{col 26}{space 2} .1552813{col 37}{space 1}    0.21{col 46}{space 3}0.835{col 54}{space 4}-.2742462{col 67}{space 3} .3389986
{txt}c_tfull_hc~s {c |}{col 14}{res}{space 2} .3169935{col 26}{space 2} .1844047{col 37}{space 1}    1.72{col 46}{space 3}0.088{col 54}{space 4}-.0471364{col 67}{space 3} .6811235
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2}-.3642223{col 26}{space 2} .5401904{col 37}{space 1}   -0.67{col 46}{space 3}0.501{col 54}{space 4}-1.430896{col 67}{space 3}  .702451
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2} .0153474{col 26}{space 2} .0701729{col 37}{space 1}    0.22{col 46}{space 3}0.827{col 54}{space 4}-.1232177{col 67}{space 3} .1539126
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2}-.1248174{col 26}{space 2}  .212503{col 37}{space 1}   -0.59{col 46}{space 3}0.558{col 54}{space 4} -.544431{col 67}{space 3} .2947962
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} .0132367{col 26}{space 2}  .067043{col 37}{space 1}    0.20{col 46}{space 3}0.844{col 54}{space 4} -.119148{col 67}{space 3} .1456214
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull = .134{p_end}

{txt}       F(  1,   163) ={res}    6.73
{txt}{col 13}Prob > F ={res}    0.0103

{p 0 7}{space 1}{text:( 1)}{space 1} treatfull = -.134{p_end}

{txt}       F(  1,   163) ={res}    0.00
{txt}{col 13}Prob > F ={res}    0.9979

{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}       187
{txt}{col 49}F({res}   8{txt},{res}    163{txt}){col 67}= {res}      1.07
{txt}{col 49}Prob > F{col 67}= {res}    0.3833
{txt}{col 49}R-squared{col 67}= {res}    0.0942
{txt}{col 49}Adj R-squared{col 67}= {res}   -0.0336
{txt}{col 49}Root MSE{col 67}= {res}    0.7003

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}e_h_ctzpre~z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2} -.134271{col 26}{space 2} .1034163{col 37}{space 1}   -1.30{col 46}{space 3}0.196{col 54}{space 4}-.3384793{col 67}{space 3} .0699373
{txt}b_h_ctzpre~z {c |}{col 14}{res}{space 2} .0079571{col 26}{space 2} .0641321{col 37}{space 1}    0.12{col 46}{space 3}0.901{col 54}{space 4}-.1186797{col 67}{space 3} .1345939
{txt}c_tf~_hc_hc2 {c |}{col 14}{res}{space 2}-.0584948{col 26}{space 2} .1591786{col 37}{space 1}   -0.37{col 46}{space 3}0.714{col 54}{space 4}-.3728128{col 67}{space 3} .2558233
{txt}c_tfull_hc~l {c |}{col 14}{res}{space 2} .0323762{col 26}{space 2} .1552813{col 37}{space 1}    0.21{col 46}{space 3}0.835{col 54}{space 4}-.2742462{col 67}{space 3} .3389986
{txt}c_tfull_hc~s {c |}{col 14}{res}{space 2} .3169935{col 26}{space 2} .1844047{col 37}{space 1}    1.72{col 46}{space 3}0.088{col 54}{space 4}-.0471364{col 67}{space 3} .6811235
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2}-.3642223{col 26}{space 2} .5401904{col 37}{space 1}   -0.67{col 46}{space 3}0.501{col 54}{space 4}-1.430896{col 67}{space 3}  .702451
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2} .0153474{col 26}{space 2} .0701729{col 37}{space 1}    0.22{col 46}{space 3}0.827{col 54}{space 4}-.1232177{col 67}{space 3} .1539126
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2}-.1248174{col 26}{space 2}  .212503{col 37}{space 1}   -0.59{col 46}{space 3}0.558{col 54}{space 4} -.544431{col 67}{space 3} .2947962
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} .0132367{col 26}{space 2}  .067043{col 37}{space 1}    0.20{col 46}{space 3}0.844{col 54}{space 4} -.119148{col 67}{space 3} .1456214
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull = .135{p_end}

{txt}       F(  1,   163) ={res}    6.78
{txt}{col 13}Prob > F ={res}    0.0101

{p 0 7}{space 1}{text:( 1)}{space 1} treatfull = -.135{p_end}

{txt}       F(  1,   163) ={res}    0.00
{txt}{col 13}Prob > F ={res}    0.9944

{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}       187
{txt}{col 49}F({res}   8{txt},{res}    163{txt}){col 67}= {res}      1.07
{txt}{col 49}Prob > F{col 67}= {res}    0.3833
{txt}{col 49}R-squared{col 67}= {res}    0.0942
{txt}{col 49}Adj R-squared{col 67}= {res}   -0.0336
{txt}{col 49}Root MSE{col 67}= {res}    0.7003

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}e_h_ctzpre~z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2} -.134271{col 26}{space 2} .1034163{col 37}{space 1}   -1.30{col 46}{space 3}0.196{col 54}{space 4}-.3384793{col 67}{space 3} .0699373
{txt}b_h_ctzpre~z {c |}{col 14}{res}{space 2} .0079571{col 26}{space 2} .0641321{col 37}{space 1}    0.12{col 46}{space 3}0.901{col 54}{space 4}-.1186797{col 67}{space 3} .1345939
{txt}c_tf~_hc_hc2 {c |}{col 14}{res}{space 2}-.0584948{col 26}{space 2} .1591786{col 37}{space 1}   -0.37{col 46}{space 3}0.714{col 54}{space 4}-.3728128{col 67}{space 3} .2558233
{txt}c_tfull_hc~l {c |}{col 14}{res}{space 2} .0323762{col 26}{space 2} .1552813{col 37}{space 1}    0.21{col 46}{space 3}0.835{col 54}{space 4}-.2742462{col 67}{space 3} .3389986
{txt}c_tfull_hc~s {c |}{col 14}{res}{space 2} .3169935{col 26}{space 2} .1844047{col 37}{space 1}    1.72{col 46}{space 3}0.088{col 54}{space 4}-.0471364{col 67}{space 3} .6811235
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2}-.3642223{col 26}{space 2} .5401904{col 37}{space 1}   -0.67{col 46}{space 3}0.501{col 54}{space 4}-1.430896{col 67}{space 3}  .702451
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2} .0153474{col 26}{space 2} .0701729{col 37}{space 1}    0.22{col 46}{space 3}0.827{col 54}{space 4}-.1232177{col 67}{space 3} .1539126
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2}-.1248174{col 26}{space 2}  .212503{col 37}{space 1}   -0.59{col 46}{space 3}0.558{col 54}{space 4} -.544431{col 67}{space 3} .2947962
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} .0132367{col 26}{space 2}  .067043{col 37}{space 1}    0.20{col 46}{space 3}0.844{col 54}{space 4} -.119148{col 67}{space 3} .1456214
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull = .136{p_end}

{txt}       F(  1,   163) ={res}    6.83
{txt}{col 13}Prob > F ={res}    0.0098

{p 0 7}{space 1}{text:( 1)}{space 1} treatfull = -.136{p_end}

{txt}       F(  1,   163) ={res}    0.00
{txt}{col 13}Prob > F ={res}    0.9867

{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}       187
{txt}{col 49}F({res}   8{txt},{res}    163{txt}){col 67}= {res}      1.07
{txt}{col 49}Prob > F{col 67}= {res}    0.3833
{txt}{col 49}R-squared{col 67}= {res}    0.0942
{txt}{col 49}Adj R-squared{col 67}= {res}   -0.0336
{txt}{col 49}Root MSE{col 67}= {res}    0.7003

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}e_h_ctzpre~z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2} -.134271{col 26}{space 2} .1034163{col 37}{space 1}   -1.30{col 46}{space 3}0.196{col 54}{space 4}-.3384793{col 67}{space 3} .0699373
{txt}b_h_ctzpre~z {c |}{col 14}{res}{space 2} .0079571{col 26}{space 2} .0641321{col 37}{space 1}    0.12{col 46}{space 3}0.901{col 54}{space 4}-.1186797{col 67}{space 3} .1345939
{txt}c_tf~_hc_hc2 {c |}{col 14}{res}{space 2}-.0584948{col 26}{space 2} .1591786{col 37}{space 1}   -0.37{col 46}{space 3}0.714{col 54}{space 4}-.3728128{col 67}{space 3} .2558233
{txt}c_tfull_hc~l {c |}{col 14}{res}{space 2} .0323762{col 26}{space 2} .1552813{col 37}{space 1}    0.21{col 46}{space 3}0.835{col 54}{space 4}-.2742462{col 67}{space 3} .3389986
{txt}c_tfull_hc~s {c |}{col 14}{res}{space 2} .3169935{col 26}{space 2} .1844047{col 37}{space 1}    1.72{col 46}{space 3}0.088{col 54}{space 4}-.0471364{col 67}{space 3} .6811235
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2}-.3642223{col 26}{space 2} .5401904{col 37}{space 1}   -0.67{col 46}{space 3}0.501{col 54}{space 4}-1.430896{col 67}{space 3}  .702451
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2} .0153474{col 26}{space 2} .0701729{col 37}{space 1}    0.22{col 46}{space 3}0.827{col 54}{space 4}-.1232177{col 67}{space 3} .1539126
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2}-.1248174{col 26}{space 2}  .212503{col 37}{space 1}   -0.59{col 46}{space 3}0.558{col 54}{space 4} -.544431{col 67}{space 3} .2947962
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} .0132367{col 26}{space 2}  .067043{col 37}{space 1}    0.20{col 46}{space 3}0.844{col 54}{space 4} -.119148{col 67}{space 3} .1456214
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull = .137{p_end}

{txt}       F(  1,   163) ={res}    6.88
{txt}{col 13}Prob > F ={res}    0.0095

{p 0 7}{space 1}{text:( 1)}{space 1} treatfull = -.137{p_end}

{txt}       F(  1,   163) ={res}    0.00
{txt}{col 13}Prob > F ={res}    0.9790

{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}       187
{txt}{col 49}F({res}   8{txt},{res}    163{txt}){col 67}= {res}      1.07
{txt}{col 49}Prob > F{col 67}= {res}    0.3833
{txt}{col 49}R-squared{col 67}= {res}    0.0942
{txt}{col 49}Adj R-squared{col 67}= {res}   -0.0336
{txt}{col 49}Root MSE{col 67}= {res}    0.7003

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}e_h_ctzpre~z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2} -.134271{col 26}{space 2} .1034163{col 37}{space 1}   -1.30{col 46}{space 3}0.196{col 54}{space 4}-.3384793{col 67}{space 3} .0699373
{txt}b_h_ctzpre~z {c |}{col 14}{res}{space 2} .0079571{col 26}{space 2} .0641321{col 37}{space 1}    0.12{col 46}{space 3}0.901{col 54}{space 4}-.1186797{col 67}{space 3} .1345939
{txt}c_tf~_hc_hc2 {c |}{col 14}{res}{space 2}-.0584948{col 26}{space 2} .1591786{col 37}{space 1}   -0.37{col 46}{space 3}0.714{col 54}{space 4}-.3728128{col 67}{space 3} .2558233
{txt}c_tfull_hc~l {c |}{col 14}{res}{space 2} .0323762{col 26}{space 2} .1552813{col 37}{space 1}    0.21{col 46}{space 3}0.835{col 54}{space 4}-.2742462{col 67}{space 3} .3389986
{txt}c_tfull_hc~s {c |}{col 14}{res}{space 2} .3169935{col 26}{space 2} .1844047{col 37}{space 1}    1.72{col 46}{space 3}0.088{col 54}{space 4}-.0471364{col 67}{space 3} .6811235
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2}-.3642223{col 26}{space 2} .5401904{col 37}{space 1}   -0.67{col 46}{space 3}0.501{col 54}{space 4}-1.430896{col 67}{space 3}  .702451
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2} .0153474{col 26}{space 2} .0701729{col 37}{space 1}    0.22{col 46}{space 3}0.827{col 54}{space 4}-.1232177{col 67}{space 3} .1539126
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2}-.1248174{col 26}{space 2}  .212503{col 37}{space 1}   -0.59{col 46}{space 3}0.558{col 54}{space 4} -.544431{col 67}{space 3} .2947962
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} .0132367{col 26}{space 2}  .067043{col 37}{space 1}    0.20{col 46}{space 3}0.844{col 54}{space 4} -.119148{col 67}{space 3} .1456214
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull = .138{p_end}

{txt}       F(  1,   163) ={res}    6.93
{txt}{col 13}Prob > F ={res}    0.0093

{p 0 7}{space 1}{text:( 1)}{space 1} treatfull = -.138{p_end}

{txt}       F(  1,   163) ={res}    0.00
{txt}{col 13}Prob > F ={res}    0.9713

{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}       187
{txt}{col 49}F({res}   8{txt},{res}    163{txt}){col 67}= {res}      1.07
{txt}{col 49}Prob > F{col 67}= {res}    0.3833
{txt}{col 49}R-squared{col 67}= {res}    0.0942
{txt}{col 49}Adj R-squared{col 67}= {res}   -0.0336
{txt}{col 49}Root MSE{col 67}= {res}    0.7003

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}e_h_ctzpre~z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2} -.134271{col 26}{space 2} .1034163{col 37}{space 1}   -1.30{col 46}{space 3}0.196{col 54}{space 4}-.3384793{col 67}{space 3} .0699373
{txt}b_h_ctzpre~z {c |}{col 14}{res}{space 2} .0079571{col 26}{space 2} .0641321{col 37}{space 1}    0.12{col 46}{space 3}0.901{col 54}{space 4}-.1186797{col 67}{space 3} .1345939
{txt}c_tf~_hc_hc2 {c |}{col 14}{res}{space 2}-.0584948{col 26}{space 2} .1591786{col 37}{space 1}   -0.37{col 46}{space 3}0.714{col 54}{space 4}-.3728128{col 67}{space 3} .2558233
{txt}c_tfull_hc~l {c |}{col 14}{res}{space 2} .0323762{col 26}{space 2} .1552813{col 37}{space 1}    0.21{col 46}{space 3}0.835{col 54}{space 4}-.2742462{col 67}{space 3} .3389986
{txt}c_tfull_hc~s {c |}{col 14}{res}{space 2} .3169935{col 26}{space 2} .1844047{col 37}{space 1}    1.72{col 46}{space 3}0.088{col 54}{space 4}-.0471364{col 67}{space 3} .6811235
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2}-.3642223{col 26}{space 2} .5401904{col 37}{space 1}   -0.67{col 46}{space 3}0.501{col 54}{space 4}-1.430896{col 67}{space 3}  .702451
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2} .0153474{col 26}{space 2} .0701729{col 37}{space 1}    0.22{col 46}{space 3}0.827{col 54}{space 4}-.1232177{col 67}{space 3} .1539126
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2}-.1248174{col 26}{space 2}  .212503{col 37}{space 1}   -0.59{col 46}{space 3}0.558{col 54}{space 4} -.544431{col 67}{space 3} .2947962
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} .0132367{col 26}{space 2}  .067043{col 37}{space 1}    0.20{col 46}{space 3}0.844{col 54}{space 4} -.119148{col 67}{space 3} .1456214
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull = .139{p_end}

{txt}       F(  1,   163) ={res}    6.98
{txt}{col 13}Prob > F ={res}    0.0090

{p 0 7}{space 1}{text:( 1)}{space 1} treatfull = -.139{p_end}

{txt}       F(  1,   163) ={res}    0.00
{txt}{col 13}Prob > F ={res}    0.9636

{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}       187
{txt}{col 49}F({res}   8{txt},{res}    163{txt}){col 67}= {res}      1.07
{txt}{col 49}Prob > F{col 67}= {res}    0.3833
{txt}{col 49}R-squared{col 67}= {res}    0.0942
{txt}{col 49}Adj R-squared{col 67}= {res}   -0.0336
{txt}{col 49}Root MSE{col 67}= {res}    0.7003

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}e_h_ctzpre~z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2} -.134271{col 26}{space 2} .1034163{col 37}{space 1}   -1.30{col 46}{space 3}0.196{col 54}{space 4}-.3384793{col 67}{space 3} .0699373
{txt}b_h_ctzpre~z {c |}{col 14}{res}{space 2} .0079571{col 26}{space 2} .0641321{col 37}{space 1}    0.12{col 46}{space 3}0.901{col 54}{space 4}-.1186797{col 67}{space 3} .1345939
{txt}c_tf~_hc_hc2 {c |}{col 14}{res}{space 2}-.0584948{col 26}{space 2} .1591786{col 37}{space 1}   -0.37{col 46}{space 3}0.714{col 54}{space 4}-.3728128{col 67}{space 3} .2558233
{txt}c_tfull_hc~l {c |}{col 14}{res}{space 2} .0323762{col 26}{space 2} .1552813{col 37}{space 1}    0.21{col 46}{space 3}0.835{col 54}{space 4}-.2742462{col 67}{space 3} .3389986
{txt}c_tfull_hc~s {c |}{col 14}{res}{space 2} .3169935{col 26}{space 2} .1844047{col 37}{space 1}    1.72{col 46}{space 3}0.088{col 54}{space 4}-.0471364{col 67}{space 3} .6811235
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2}-.3642223{col 26}{space 2} .5401904{col 37}{space 1}   -0.67{col 46}{space 3}0.501{col 54}{space 4}-1.430896{col 67}{space 3}  .702451
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2} .0153474{col 26}{space 2} .0701729{col 37}{space 1}    0.22{col 46}{space 3}0.827{col 54}{space 4}-.1232177{col 67}{space 3} .1539126
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2}-.1248174{col 26}{space 2}  .212503{col 37}{space 1}   -0.59{col 46}{space 3}0.558{col 54}{space 4} -.544431{col 67}{space 3} .2947962
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} .0132367{col 26}{space 2}  .067043{col 37}{space 1}    0.20{col 46}{space 3}0.844{col 54}{space 4} -.119148{col 67}{space 3} .1456214
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull = .14{p_end}

{txt}       F(  1,   163) ={res}    7.03
{txt}{col 13}Prob > F ={res}    0.0088

{p 0 7}{space 1}{text:( 1)}{space 1} treatfull = -.14{p_end}

{txt}       F(  1,   163) ={res}    0.00
{txt}{col 13}Prob > F ={res}    0.9559

{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}       187
{txt}{col 49}F({res}   8{txt},{res}    163{txt}){col 67}= {res}      1.07
{txt}{col 49}Prob > F{col 67}= {res}    0.3833
{txt}{col 49}R-squared{col 67}= {res}    0.0942
{txt}{col 49}Adj R-squared{col 67}= {res}   -0.0336
{txt}{col 49}Root MSE{col 67}= {res}    0.7003

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}e_h_ctzpre~z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2} -.134271{col 26}{space 2} .1034163{col 37}{space 1}   -1.30{col 46}{space 3}0.196{col 54}{space 4}-.3384793{col 67}{space 3} .0699373
{txt}b_h_ctzpre~z {c |}{col 14}{res}{space 2} .0079571{col 26}{space 2} .0641321{col 37}{space 1}    0.12{col 46}{space 3}0.901{col 54}{space 4}-.1186797{col 67}{space 3} .1345939
{txt}c_tf~_hc_hc2 {c |}{col 14}{res}{space 2}-.0584948{col 26}{space 2} .1591786{col 37}{space 1}   -0.37{col 46}{space 3}0.714{col 54}{space 4}-.3728128{col 67}{space 3} .2558233
{txt}c_tfull_hc~l {c |}{col 14}{res}{space 2} .0323762{col 26}{space 2} .1552813{col 37}{space 1}    0.21{col 46}{space 3}0.835{col 54}{space 4}-.2742462{col 67}{space 3} .3389986
{txt}c_tfull_hc~s {c |}{col 14}{res}{space 2} .3169935{col 26}{space 2} .1844047{col 37}{space 1}    1.72{col 46}{space 3}0.088{col 54}{space 4}-.0471364{col 67}{space 3} .6811235
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2}-.3642223{col 26}{space 2} .5401904{col 37}{space 1}   -0.67{col 46}{space 3}0.501{col 54}{space 4}-1.430896{col 67}{space 3}  .702451
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2} .0153474{col 26}{space 2} .0701729{col 37}{space 1}    0.22{col 46}{space 3}0.827{col 54}{space 4}-.1232177{col 67}{space 3} .1539126
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2}-.1248174{col 26}{space 2}  .212503{col 37}{space 1}   -0.59{col 46}{space 3}0.558{col 54}{space 4} -.544431{col 67}{space 3} .2947962
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} .0132367{col 26}{space 2}  .067043{col 37}{space 1}    0.20{col 46}{space 3}0.844{col 54}{space 4} -.119148{col 67}{space 3} .1456214
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull = .141{p_end}

{txt}       F(  1,   163) ={res}    7.09
{txt}{col 13}Prob > F ={res}    0.0086

{p 0 7}{space 1}{text:( 1)}{space 1} treatfull = -.141{p_end}

{txt}       F(  1,   163) ={res}    0.00
{txt}{col 13}Prob > F ={res}    0.9482

{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}       187
{txt}{col 49}F({res}   8{txt},{res}    163{txt}){col 67}= {res}      1.07
{txt}{col 49}Prob > F{col 67}= {res}    0.3833
{txt}{col 49}R-squared{col 67}= {res}    0.0942
{txt}{col 49}Adj R-squared{col 67}= {res}   -0.0336
{txt}{col 49}Root MSE{col 67}= {res}    0.7003

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}e_h_ctzpre~z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2} -.134271{col 26}{space 2} .1034163{col 37}{space 1}   -1.30{col 46}{space 3}0.196{col 54}{space 4}-.3384793{col 67}{space 3} .0699373
{txt}b_h_ctzpre~z {c |}{col 14}{res}{space 2} .0079571{col 26}{space 2} .0641321{col 37}{space 1}    0.12{col 46}{space 3}0.901{col 54}{space 4}-.1186797{col 67}{space 3} .1345939
{txt}c_tf~_hc_hc2 {c |}{col 14}{res}{space 2}-.0584948{col 26}{space 2} .1591786{col 37}{space 1}   -0.37{col 46}{space 3}0.714{col 54}{space 4}-.3728128{col 67}{space 3} .2558233
{txt}c_tfull_hc~l {c |}{col 14}{res}{space 2} .0323762{col 26}{space 2} .1552813{col 37}{space 1}    0.21{col 46}{space 3}0.835{col 54}{space 4}-.2742462{col 67}{space 3} .3389986
{txt}c_tfull_hc~s {c |}{col 14}{res}{space 2} .3169935{col 26}{space 2} .1844047{col 37}{space 1}    1.72{col 46}{space 3}0.088{col 54}{space 4}-.0471364{col 67}{space 3} .6811235
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2}-.3642223{col 26}{space 2} .5401904{col 37}{space 1}   -0.67{col 46}{space 3}0.501{col 54}{space 4}-1.430896{col 67}{space 3}  .702451
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2} .0153474{col 26}{space 2} .0701729{col 37}{space 1}    0.22{col 46}{space 3}0.827{col 54}{space 4}-.1232177{col 67}{space 3} .1539126
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2}-.1248174{col 26}{space 2}  .212503{col 37}{space 1}   -0.59{col 46}{space 3}0.558{col 54}{space 4} -.544431{col 67}{space 3} .2947962
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} .0132367{col 26}{space 2}  .067043{col 37}{space 1}    0.20{col 46}{space 3}0.844{col 54}{space 4} -.119148{col 67}{space 3} .1456214
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull = .142{p_end}

{txt}       F(  1,   163) ={res}    7.14
{txt}{col 13}Prob > F ={res}    0.0083

{p 0 7}{space 1}{text:( 1)}{space 1} treatfull = -.142{p_end}

{txt}       F(  1,   163) ={res}    0.01
{txt}{col 13}Prob > F ={res}    0.9405

{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}       187
{txt}{col 49}F({res}   8{txt},{res}    163{txt}){col 67}= {res}      1.07
{txt}{col 49}Prob > F{col 67}= {res}    0.3833
{txt}{col 49}R-squared{col 67}= {res}    0.0942
{txt}{col 49}Adj R-squared{col 67}= {res}   -0.0336
{txt}{col 49}Root MSE{col 67}= {res}    0.7003

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}e_h_ctzpre~z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2} -.134271{col 26}{space 2} .1034163{col 37}{space 1}   -1.30{col 46}{space 3}0.196{col 54}{space 4}-.3384793{col 67}{space 3} .0699373
{txt}b_h_ctzpre~z {c |}{col 14}{res}{space 2} .0079571{col 26}{space 2} .0641321{col 37}{space 1}    0.12{col 46}{space 3}0.901{col 54}{space 4}-.1186797{col 67}{space 3} .1345939
{txt}c_tf~_hc_hc2 {c |}{col 14}{res}{space 2}-.0584948{col 26}{space 2} .1591786{col 37}{space 1}   -0.37{col 46}{space 3}0.714{col 54}{space 4}-.3728128{col 67}{space 3} .2558233
{txt}c_tfull_hc~l {c |}{col 14}{res}{space 2} .0323762{col 26}{space 2} .1552813{col 37}{space 1}    0.21{col 46}{space 3}0.835{col 54}{space 4}-.2742462{col 67}{space 3} .3389986
{txt}c_tfull_hc~s {c |}{col 14}{res}{space 2} .3169935{col 26}{space 2} .1844047{col 37}{space 1}    1.72{col 46}{space 3}0.088{col 54}{space 4}-.0471364{col 67}{space 3} .6811235
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2}-.3642223{col 26}{space 2} .5401904{col 37}{space 1}   -0.67{col 46}{space 3}0.501{col 54}{space 4}-1.430896{col 67}{space 3}  .702451
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2} .0153474{col 26}{space 2} .0701729{col 37}{space 1}    0.22{col 46}{space 3}0.827{col 54}{space 4}-.1232177{col 67}{space 3} .1539126
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2}-.1248174{col 26}{space 2}  .212503{col 37}{space 1}   -0.59{col 46}{space 3}0.558{col 54}{space 4} -.544431{col 67}{space 3} .2947962
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} .0132367{col 26}{space 2}  .067043{col 37}{space 1}    0.20{col 46}{space 3}0.844{col 54}{space 4} -.119148{col 67}{space 3} .1456214
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull = .143{p_end}

{txt}       F(  1,   163) ={res}    7.19
{txt}{col 13}Prob > F ={res}    0.0081

{p 0 7}{space 1}{text:( 1)}{space 1} treatfull = -.143{p_end}

{txt}       F(  1,   163) ={res}    0.01
{txt}{col 13}Prob > F ={res}    0.9328

{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}       187
{txt}{col 49}F({res}   8{txt},{res}    163{txt}){col 67}= {res}      1.07
{txt}{col 49}Prob > F{col 67}= {res}    0.3833
{txt}{col 49}R-squared{col 67}= {res}    0.0942
{txt}{col 49}Adj R-squared{col 67}= {res}   -0.0336
{txt}{col 49}Root MSE{col 67}= {res}    0.7003

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}e_h_ctzpre~z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2} -.134271{col 26}{space 2} .1034163{col 37}{space 1}   -1.30{col 46}{space 3}0.196{col 54}{space 4}-.3384793{col 67}{space 3} .0699373
{txt}b_h_ctzpre~z {c |}{col 14}{res}{space 2} .0079571{col 26}{space 2} .0641321{col 37}{space 1}    0.12{col 46}{space 3}0.901{col 54}{space 4}-.1186797{col 67}{space 3} .1345939
{txt}c_tf~_hc_hc2 {c |}{col 14}{res}{space 2}-.0584948{col 26}{space 2} .1591786{col 37}{space 1}   -0.37{col 46}{space 3}0.714{col 54}{space 4}-.3728128{col 67}{space 3} .2558233
{txt}c_tfull_hc~l {c |}{col 14}{res}{space 2} .0323762{col 26}{space 2} .1552813{col 37}{space 1}    0.21{col 46}{space 3}0.835{col 54}{space 4}-.2742462{col 67}{space 3} .3389986
{txt}c_tfull_hc~s {c |}{col 14}{res}{space 2} .3169935{col 26}{space 2} .1844047{col 37}{space 1}    1.72{col 46}{space 3}0.088{col 54}{space 4}-.0471364{col 67}{space 3} .6811235
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2}-.3642223{col 26}{space 2} .5401904{col 37}{space 1}   -0.67{col 46}{space 3}0.501{col 54}{space 4}-1.430896{col 67}{space 3}  .702451
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2} .0153474{col 26}{space 2} .0701729{col 37}{space 1}    0.22{col 46}{space 3}0.827{col 54}{space 4}-.1232177{col 67}{space 3} .1539126
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2}-.1248174{col 26}{space 2}  .212503{col 37}{space 1}   -0.59{col 46}{space 3}0.558{col 54}{space 4} -.544431{col 67}{space 3} .2947962
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} .0132367{col 26}{space 2}  .067043{col 37}{space 1}    0.20{col 46}{space 3}0.844{col 54}{space 4} -.119148{col 67}{space 3} .1456214
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull = .144{p_end}

{txt}       F(  1,   163) ={res}    7.24
{txt}{col 13}Prob > F ={res}    0.0079

{p 0 7}{space 1}{text:( 1)}{space 1} treatfull = -.144{p_end}

{txt}       F(  1,   163) ={res}    0.01
{txt}{col 13}Prob > F ={res}    0.9252

{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}       187
{txt}{col 49}F({res}   8{txt},{res}    163{txt}){col 67}= {res}      1.07
{txt}{col 49}Prob > F{col 67}= {res}    0.3833
{txt}{col 49}R-squared{col 67}= {res}    0.0942
{txt}{col 49}Adj R-squared{col 67}= {res}   -0.0336
{txt}{col 49}Root MSE{col 67}= {res}    0.7003

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}e_h_ctzpre~z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2} -.134271{col 26}{space 2} .1034163{col 37}{space 1}   -1.30{col 46}{space 3}0.196{col 54}{space 4}-.3384793{col 67}{space 3} .0699373
{txt}b_h_ctzpre~z {c |}{col 14}{res}{space 2} .0079571{col 26}{space 2} .0641321{col 37}{space 1}    0.12{col 46}{space 3}0.901{col 54}{space 4}-.1186797{col 67}{space 3} .1345939
{txt}c_tf~_hc_hc2 {c |}{col 14}{res}{space 2}-.0584948{col 26}{space 2} .1591786{col 37}{space 1}   -0.37{col 46}{space 3}0.714{col 54}{space 4}-.3728128{col 67}{space 3} .2558233
{txt}c_tfull_hc~l {c |}{col 14}{res}{space 2} .0323762{col 26}{space 2} .1552813{col 37}{space 1}    0.21{col 46}{space 3}0.835{col 54}{space 4}-.2742462{col 67}{space 3} .3389986
{txt}c_tfull_hc~s {c |}{col 14}{res}{space 2} .3169935{col 26}{space 2} .1844047{col 37}{space 1}    1.72{col 46}{space 3}0.088{col 54}{space 4}-.0471364{col 67}{space 3} .6811235
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2}-.3642223{col 26}{space 2} .5401904{col 37}{space 1}   -0.67{col 46}{space 3}0.501{col 54}{space 4}-1.430896{col 67}{space 3}  .702451
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2} .0153474{col 26}{space 2} .0701729{col 37}{space 1}    0.22{col 46}{space 3}0.827{col 54}{space 4}-.1232177{col 67}{space 3} .1539126
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2}-.1248174{col 26}{space 2}  .212503{col 37}{space 1}   -0.59{col 46}{space 3}0.558{col 54}{space 4} -.544431{col 67}{space 3} .2947962
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} .0132367{col 26}{space 2}  .067043{col 37}{space 1}    0.20{col 46}{space 3}0.844{col 54}{space 4} -.119148{col 67}{space 3} .1456214
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull = .145{p_end}

{txt}       F(  1,   163) ={res}    7.29
{txt}{col 13}Prob > F ={res}    0.0077

{p 0 7}{space 1}{text:( 1)}{space 1} treatfull = -.145{p_end}

{txt}       F(  1,   163) ={res}    0.01
{txt}{col 13}Prob > F ={res}    0.9175

{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}       187
{txt}{col 49}F({res}   8{txt},{res}    163{txt}){col 67}= {res}      1.07
{txt}{col 49}Prob > F{col 67}= {res}    0.3833
{txt}{col 49}R-squared{col 67}= {res}    0.0942
{txt}{col 49}Adj R-squared{col 67}= {res}   -0.0336
{txt}{col 49}Root MSE{col 67}= {res}    0.7003

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}e_h_ctzpre~z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2} -.134271{col 26}{space 2} .1034163{col 37}{space 1}   -1.30{col 46}{space 3}0.196{col 54}{space 4}-.3384793{col 67}{space 3} .0699373
{txt}b_h_ctzpre~z {c |}{col 14}{res}{space 2} .0079571{col 26}{space 2} .0641321{col 37}{space 1}    0.12{col 46}{space 3}0.901{col 54}{space 4}-.1186797{col 67}{space 3} .1345939
{txt}c_tf~_hc_hc2 {c |}{col 14}{res}{space 2}-.0584948{col 26}{space 2} .1591786{col 37}{space 1}   -0.37{col 46}{space 3}0.714{col 54}{space 4}-.3728128{col 67}{space 3} .2558233
{txt}c_tfull_hc~l {c |}{col 14}{res}{space 2} .0323762{col 26}{space 2} .1552813{col 37}{space 1}    0.21{col 46}{space 3}0.835{col 54}{space 4}-.2742462{col 67}{space 3} .3389986
{txt}c_tfull_hc~s {c |}{col 14}{res}{space 2} .3169935{col 26}{space 2} .1844047{col 37}{space 1}    1.72{col 46}{space 3}0.088{col 54}{space 4}-.0471364{col 67}{space 3} .6811235
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2}-.3642223{col 26}{space 2} .5401904{col 37}{space 1}   -0.67{col 46}{space 3}0.501{col 54}{space 4}-1.430896{col 67}{space 3}  .702451
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2} .0153474{col 26}{space 2} .0701729{col 37}{space 1}    0.22{col 46}{space 3}0.827{col 54}{space 4}-.1232177{col 67}{space 3} .1539126
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2}-.1248174{col 26}{space 2}  .212503{col 37}{space 1}   -0.59{col 46}{space 3}0.558{col 54}{space 4} -.544431{col 67}{space 3} .2947962
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} .0132367{col 26}{space 2}  .067043{col 37}{space 1}    0.20{col 46}{space 3}0.844{col 54}{space 4} -.119148{col 67}{space 3} .1456214
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull = .146{p_end}

{txt}       F(  1,   163) ={res}    7.34
{txt}{col 13}Prob > F ={res}    0.0074

{p 0 7}{space 1}{text:( 1)}{space 1} treatfull = -.146{p_end}

{txt}       F(  1,   163) ={res}    0.01
{txt}{col 13}Prob > F ={res}    0.9098

{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}       187
{txt}{col 49}F({res}   8{txt},{res}    163{txt}){col 67}= {res}      1.07
{txt}{col 49}Prob > F{col 67}= {res}    0.3833
{txt}{col 49}R-squared{col 67}= {res}    0.0942
{txt}{col 49}Adj R-squared{col 67}= {res}   -0.0336
{txt}{col 49}Root MSE{col 67}= {res}    0.7003

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}e_h_ctzpre~z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2} -.134271{col 26}{space 2} .1034163{col 37}{space 1}   -1.30{col 46}{space 3}0.196{col 54}{space 4}-.3384793{col 67}{space 3} .0699373
{txt}b_h_ctzpre~z {c |}{col 14}{res}{space 2} .0079571{col 26}{space 2} .0641321{col 37}{space 1}    0.12{col 46}{space 3}0.901{col 54}{space 4}-.1186797{col 67}{space 3} .1345939
{txt}c_tf~_hc_hc2 {c |}{col 14}{res}{space 2}-.0584948{col 26}{space 2} .1591786{col 37}{space 1}   -0.37{col 46}{space 3}0.714{col 54}{space 4}-.3728128{col 67}{space 3} .2558233
{txt}c_tfull_hc~l {c |}{col 14}{res}{space 2} .0323762{col 26}{space 2} .1552813{col 37}{space 1}    0.21{col 46}{space 3}0.835{col 54}{space 4}-.2742462{col 67}{space 3} .3389986
{txt}c_tfull_hc~s {c |}{col 14}{res}{space 2} .3169935{col 26}{space 2} .1844047{col 37}{space 1}    1.72{col 46}{space 3}0.088{col 54}{space 4}-.0471364{col 67}{space 3} .6811235
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2}-.3642223{col 26}{space 2} .5401904{col 37}{space 1}   -0.67{col 46}{space 3}0.501{col 54}{space 4}-1.430896{col 67}{space 3}  .702451
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2} .0153474{col 26}{space 2} .0701729{col 37}{space 1}    0.22{col 46}{space 3}0.827{col 54}{space 4}-.1232177{col 67}{space 3} .1539126
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2}-.1248174{col 26}{space 2}  .212503{col 37}{space 1}   -0.59{col 46}{space 3}0.558{col 54}{space 4} -.544431{col 67}{space 3} .2947962
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} .0132367{col 26}{space 2}  .067043{col 37}{space 1}    0.20{col 46}{space 3}0.844{col 54}{space 4} -.119148{col 67}{space 3} .1456214
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull = .147{p_end}

{txt}       F(  1,   163) ={res}    7.40
{txt}{col 13}Prob > F ={res}    0.0072

{p 0 7}{space 1}{text:( 1)}{space 1} treatfull = -.147{p_end}

{txt}       F(  1,   163) ={res}    0.02
{txt}{col 13}Prob > F ={res}    0.9022

{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}       187
{txt}{col 49}F({res}   8{txt},{res}    163{txt}){col 67}= {res}      1.07
{txt}{col 49}Prob > F{col 67}= {res}    0.3833
{txt}{col 49}R-squared{col 67}= {res}    0.0942
{txt}{col 49}Adj R-squared{col 67}= {res}   -0.0336
{txt}{col 49}Root MSE{col 67}= {res}    0.7003

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}e_h_ctzpre~z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2} -.134271{col 26}{space 2} .1034163{col 37}{space 1}   -1.30{col 46}{space 3}0.196{col 54}{space 4}-.3384793{col 67}{space 3} .0699373
{txt}b_h_ctzpre~z {c |}{col 14}{res}{space 2} .0079571{col 26}{space 2} .0641321{col 37}{space 1}    0.12{col 46}{space 3}0.901{col 54}{space 4}-.1186797{col 67}{space 3} .1345939
{txt}c_tf~_hc_hc2 {c |}{col 14}{res}{space 2}-.0584948{col 26}{space 2} .1591786{col 37}{space 1}   -0.37{col 46}{space 3}0.714{col 54}{space 4}-.3728128{col 67}{space 3} .2558233
{txt}c_tfull_hc~l {c |}{col 14}{res}{space 2} .0323762{col 26}{space 2} .1552813{col 37}{space 1}    0.21{col 46}{space 3}0.835{col 54}{space 4}-.2742462{col 67}{space 3} .3389986
{txt}c_tfull_hc~s {c |}{col 14}{res}{space 2} .3169935{col 26}{space 2} .1844047{col 37}{space 1}    1.72{col 46}{space 3}0.088{col 54}{space 4}-.0471364{col 67}{space 3} .6811235
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2}-.3642223{col 26}{space 2} .5401904{col 37}{space 1}   -0.67{col 46}{space 3}0.501{col 54}{space 4}-1.430896{col 67}{space 3}  .702451
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2} .0153474{col 26}{space 2} .0701729{col 37}{space 1}    0.22{col 46}{space 3}0.827{col 54}{space 4}-.1232177{col 67}{space 3} .1539126
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2}-.1248174{col 26}{space 2}  .212503{col 37}{space 1}   -0.59{col 46}{space 3}0.558{col 54}{space 4} -.544431{col 67}{space 3} .2947962
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} .0132367{col 26}{space 2}  .067043{col 37}{space 1}    0.20{col 46}{space 3}0.844{col 54}{space 4} -.119148{col 67}{space 3} .1456214
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull = .148{p_end}

{txt}       F(  1,   163) ={res}    7.45
{txt}{col 13}Prob > F ={res}    0.0070

{p 0 7}{space 1}{text:( 1)}{space 1} treatfull = -.148{p_end}

{txt}       F(  1,   163) ={res}    0.02
{txt}{col 13}Prob > F ={res}    0.8946

{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}       187
{txt}{col 49}F({res}   8{txt},{res}    163{txt}){col 67}= {res}      1.07
{txt}{col 49}Prob > F{col 67}= {res}    0.3833
{txt}{col 49}R-squared{col 67}= {res}    0.0942
{txt}{col 49}Adj R-squared{col 67}= {res}   -0.0336
{txt}{col 49}Root MSE{col 67}= {res}    0.7003

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}e_h_ctzpre~z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2} -.134271{col 26}{space 2} .1034163{col 37}{space 1}   -1.30{col 46}{space 3}0.196{col 54}{space 4}-.3384793{col 67}{space 3} .0699373
{txt}b_h_ctzpre~z {c |}{col 14}{res}{space 2} .0079571{col 26}{space 2} .0641321{col 37}{space 1}    0.12{col 46}{space 3}0.901{col 54}{space 4}-.1186797{col 67}{space 3} .1345939
{txt}c_tf~_hc_hc2 {c |}{col 14}{res}{space 2}-.0584948{col 26}{space 2} .1591786{col 37}{space 1}   -0.37{col 46}{space 3}0.714{col 54}{space 4}-.3728128{col 67}{space 3} .2558233
{txt}c_tfull_hc~l {c |}{col 14}{res}{space 2} .0323762{col 26}{space 2} .1552813{col 37}{space 1}    0.21{col 46}{space 3}0.835{col 54}{space 4}-.2742462{col 67}{space 3} .3389986
{txt}c_tfull_hc~s {c |}{col 14}{res}{space 2} .3169935{col 26}{space 2} .1844047{col 37}{space 1}    1.72{col 46}{space 3}0.088{col 54}{space 4}-.0471364{col 67}{space 3} .6811235
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2}-.3642223{col 26}{space 2} .5401904{col 37}{space 1}   -0.67{col 46}{space 3}0.501{col 54}{space 4}-1.430896{col 67}{space 3}  .702451
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2} .0153474{col 26}{space 2} .0701729{col 37}{space 1}    0.22{col 46}{space 3}0.827{col 54}{space 4}-.1232177{col 67}{space 3} .1539126
{txt}c_tfull_hc.. {c |}{col 14}{res}{space 2}-.1248174{col 26}{space 2}  .212503{col 37}{space 1}   -0.59{col 46}{space 3}0.558{col 54}{space 4} -.544431{col 67}{space 3} .2947962
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} .0132367{col 26}{space 2}  .067043{col 37}{space 1}    0.20{col 46}{space 3}0.844{col 54}{space 4} -.119148{col 67}{space 3} .1456214
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull = .149{p_end}

{txt}       F(  1,   163) ={res}    7.50
{txt}{col 13}Prob > F ={res}    0.0068

{p 0 7}{space 1}{text:( 1)}{space 1} treatfull = -.149{p_end}

{txt}       F(  1,   163) ={res}    0.02
{txt}{col 13}Prob > F ={res}    0.8869
{txt}
{com}.         
.         * At endline
.         
.         keep pvale*
{txt}
{com}.         duplicates drop

{p 0 4}{txt}Duplicates in terms of {txt} all variables{p_end}

(15,294 observations deleted)

{com}.         
.         gen x = 1
{txt}
{com}.         
.         reshape long pvalecommtg_z_ pvaleurate_z_ pvaletreatqual_z_ pvalepatsat_z_  pvalemortrate_05_ pvaleh_ctzpressure_z_, i(x) j(pos)
{txt}(note: j = 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129 130 131 132 133 134 135 136 137 138 139 140 141 142 143 144 145 146 147 148 149)

Data{col 36}wide{col 43}->{col 48}long
{hline 77}
Number of obs.                 {res}       1   {txt}->{res}     149
{txt}Number of variables            {res}     895   {txt}->{res}       8
{txt}j variable (149 values)                   ->   {res}pos
{txt}xij variables:
{res}pvalecommtg_z_1 pvalecommtg_z_2 ... pvalecommtg_z_149{txt}->{res}pvalecommtg_z_
pvaleurate_z_1 pvaleurate_z_2 ... pvaleurate_z_149{txt}->{res}pvaleurate_z_
pvaletreatqual_z_1 pvaletreatqual_z_2 ... pvaletreatqual_z_149{txt}->{res}pvaletreatqual_z_
pvalepatsat_z_1 pvalepatsat_z_2 ... pvalepatsat_z_149{txt}->{res}pvalepatsat_z_
pvalemortrate_05_1 pvalemortrate_05_2 ... pvalemortrate_05_149{txt}->{res}pvalemortrate_05_
pvaleh_ctzpressure_z_1 pvaleh_ctzpressure_z_2 ... pvaleh_ctzpressure_z_149{txt}->{res}pvaleh_ctzpressure_z_
{txt}{hline 77}

{com}.         
.         drop x 
{txt}
{com}.         replace pos = pos/1000
{txt}variable {bf}pos{sf} was {bf}{res}int{sf}{txt} now {bf}{res}float{sf}
{txt}(149 real changes made)

{com}.         
.         * We create the graph
.         
.         local indices urate_z treatqual_z patsat_z commtg_z
{txt}
{com}.         local indices_hc mortrate_05 h_ctzpressure_z
{txt}
{com}. 
.         
.         foreach x in `indices' {c -(}
{txt}  2{com}.         
.                 lab var pvale`x'_ "P-value"
{txt}  3{com}.                 lab var pos "Lambda"
{txt}  4{com}.         
.                 twoway scatter pvale`x'_ pos, yline(0.05, lp(dash)) scheme(s1mono) mcolor(blue) ytick(0.0(0.2)1.0) ylabel(0.0(0.2)1.0) xtick(.001(.001).15)
{txt}  5{com}.                 gr export "${c -(}Figures{c )-}/Figure9_pvale`x'.png", replace
{txt}  6{com}.         
.                 {c )-}
{res}{txt}(file /Users/fredericcochinard/Dropbox/ACT_Health_JOP_replication_file/3.Tables and Figures/Figures/Figure9_pvaleurate_z.png written in PNG format)
{res}{txt}(file /Users/fredericcochinard/Dropbox/ACT_Health_JOP_replication_file/3.Tables and Figures/Figures/Figure9_pvaletreatqual_z.png written in PNG format)
{res}{txt}(file /Users/fredericcochinard/Dropbox/ACT_Health_JOP_replication_file/3.Tables and Figures/Figures/Figure9_pvalepatsat_z.png written in PNG format)
{res}{txt}(file /Users/fredericcochinard/Dropbox/ACT_Health_JOP_replication_file/3.Tables and Figures/Figures/Figure9_pvalecommtg_z.png written in PNG format)

{com}.                 
.                 
.         foreach x in `indices_hc' {c -(} 
{txt}  2{com}.         
.                 lab var pvale`x'_ "P-value"
{txt}  3{com}.                 lab var pvale`x'_ "P-value"
{txt}  4{com}.                 lab var pos "Lambda"
{txt}  5{com}.         
.                 twoway scatter pvale`x'_ pos, yline(0.05, lp(dash)) scheme(s1mono) mcolor(blue) ytick(0.0(0.2)1.0) ylabel(0.0(0.2)1.0) xtick(.001(.001).15)
{txt}  6{com}.                 gr export "${c -(}Figures{c )-}/Figure9_pvale`x'.png", replace
{txt}  7{com}.         
.                 {c )-}
{res}{txt}(file /Users/fredericcochinard/Dropbox/ACT_Health_JOP_replication_file/3.Tables and Figures/Figures/Figure9_pvalemortrate_05.png written in PNG format)
{res}{txt}(file /Users/fredericcochinard/Dropbox/ACT_Health_JOP_replication_file/3.Tables and Figures/Figures/Figure9_pvaleh_ctzpressure_z.png written in PNG format)

{com}.                 
.         * Health outcome
.         
.         * At endline
.         
.         use "${c -(}usedata{c )-}/healthoutcome_endline_ind.dta", clear
{txt}
{com}.         
.         local y = 0
{txt}
{com}. 
.         forvalues i = .001(.001).15 {c -(}
{txt}  2{com}.                 
.                 local y = `y' + 1
{txt}  3{com}. 
.                 * At endline
.                 
.                 areg e_healthoutcome_z treatfull b_healthoutcome_z b_healthoutcome_z_d `e_controls_tfull' ``var'_int_e_controls', robust cl(hc_id) a(district)
{txt}  4{com}.         
.                 test _b[treatfull] = `i'
{txt}  5{com}.                         loc pval_plus_`y' `r(p)'
{txt}  6{com}. 
.                 test _b[treatfull] =  (-1)*`i'
{txt}  7{com}.                         loc pval_minus_`y' `r(p)'
{txt}  8{com}. 
.                 if `pval_minus_`y'' >=  `pval_plus_`y'' {c -(}
{txt}  9{com}.                         loc pvalehealthoutcome_z_`y'  `pval_minus_`y''
{txt} 10{com}.                         {c )-}
{txt} 11{com}. 
.                 if `pval_minus_`y'' <  `pval_plus_`y'' {c -(}
{txt} 12{com}.                         loc pvalehealthoutcome_z_`y'  `pval_plus_`y''
{txt} 13{com}.                         {c )-}
{txt} 14{com}.                         
.                 gen pvalehealthoutcome_z_`y' = `pvalehealthoutcome_z_`y''
{txt} 15{com}.                                 
.                 {c )-}

{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}     4,930
{txt}{col 49}F({res}   9{txt},{res}    186{txt}){col 67}= {res}     77.06
{txt}{col 49}Prob > F{col 67}= {res}    0.0000
{txt}{col 49}R-squared{col 67}= {res}    0.1110
{txt}{col 49}Adj R-squared{col 67}= {res}    0.1066
{txt}{col 49}Root MSE{col 67}= {res}    0.8984

{txt}{ralign 78:(Std. Err. adjusted for {res:187} clusters in hc_id)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}e_healthou~z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2}-.0025068{col 26}{space 2} .0273728{col 37}{space 1}   -0.09{col 46}{space 3}0.927{col 54}{space 4}-.0565079{col 67}{space 3} .0514943
{txt}b_healthou~z {c |}{col 14}{res}{space 2} .1301056{col 26}{space 2} .0158563{col 37}{space 1}    8.21{col 46}{space 3}0.000{col 54}{space 4} .0988243{col 67}{space 3}  .161387
{txt}b_healthou~d {c |}{col 14}{res}{space 2} .6767453{col 26}{space 2} .0268257{col 37}{space 1}   25.23{col 46}{space 3}0.000{col 54}{space 4} .6238235{col 67}{space 3}  .729667
{txt}{space 1}c_tfull_hc2 {c |}{col 14}{res}{space 2}-.0150939{col 26}{space 2} .0391048{col 37}{space 1}   -0.39{col 46}{space 3}0.700{col 54}{space 4}-.0922398{col 67}{space 3}  .062052
{txt}c_tfull_b_~l {c |}{col 14}{res}{space 2}-.0461058{col 26}{space 2} .0434625{col 37}{space 1}   -1.06{col 46}{space 3}0.290{col 54}{space 4}-.1318486{col 67}{space 3} .0396371
{txt}c_tfull_b_~s {c |}{col 14}{res}{space 2}-.0395781{col 26}{space 2} .0495328{col 37}{space 1}   -0.80{col 46}{space 3}0.425{col 54}{space 4}-.1372963{col 67}{space 3} .0581402
{txt}c_tfull_b_~d {c |}{col 14}{res}{space 2} .0312915{col 26}{space 2} .0564047{col 37}{space 1}    0.55{col 46}{space 3}0.580{col 54}{space 4}-.0799837{col 67}{space 3} .1425667
{txt}c_tfull_ed~r {c |}{col 14}{res}{space 2} .0095071{col 26}{space 2} .0036039{col 37}{space 1}    2.64{col 46}{space 3}0.009{col 54}{space 4} .0023975{col 67}{space 3} .0166168
{txt}c_tfull_b_~x {c |}{col 14}{res}{space 2} .0444258{col 26}{space 2} .0162695{col 37}{space 1}    2.73{col 46}{space 3}0.007{col 54}{space 4} .0123293{col 67}{space 3} .0765224
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} -.511236{col 26}{space 2} .0224249{col 37}{space 1}  -22.80{col 46}{space 3}0.000{col 54}{space 4}-.5554759{col 67}{space 3}-.4669962
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull = .001{p_end}

{txt}       F(  1,   186) ={res}    0.02
{txt}{col 13}Prob > F ={res}    0.8982

{p 0 7}{space 1}{text:( 1)}{space 1} treatfull = -.001{p_end}

{txt}       F(  1,   186) ={res}    0.00
{txt}{col 13}Prob > F ={res}    0.9562

{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}     4,930
{txt}{col 49}F({res}   9{txt},{res}    186{txt}){col 67}= {res}     77.06
{txt}{col 49}Prob > F{col 67}= {res}    0.0000
{txt}{col 49}R-squared{col 67}= {res}    0.1110
{txt}{col 49}Adj R-squared{col 67}= {res}    0.1066
{txt}{col 49}Root MSE{col 67}= {res}    0.8984

{txt}{ralign 78:(Std. Err. adjusted for {res:187} clusters in hc_id)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}e_healthou~z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2}-.0025068{col 26}{space 2} .0273728{col 37}{space 1}   -0.09{col 46}{space 3}0.927{col 54}{space 4}-.0565079{col 67}{space 3} .0514943
{txt}b_healthou~z {c |}{col 14}{res}{space 2} .1301056{col 26}{space 2} .0158563{col 37}{space 1}    8.21{col 46}{space 3}0.000{col 54}{space 4} .0988243{col 67}{space 3}  .161387
{txt}b_healthou~d {c |}{col 14}{res}{space 2} .6767453{col 26}{space 2} .0268257{col 37}{space 1}   25.23{col 46}{space 3}0.000{col 54}{space 4} .6238235{col 67}{space 3}  .729667
{txt}{space 1}c_tfull_hc2 {c |}{col 14}{res}{space 2}-.0150939{col 26}{space 2} .0391048{col 37}{space 1}   -0.39{col 46}{space 3}0.700{col 54}{space 4}-.0922398{col 67}{space 3}  .062052
{txt}c_tfull_b_~l {c |}{col 14}{res}{space 2}-.0461058{col 26}{space 2} .0434625{col 37}{space 1}   -1.06{col 46}{space 3}0.290{col 54}{space 4}-.1318486{col 67}{space 3} .0396371
{txt}c_tfull_b_~s {c |}{col 14}{res}{space 2}-.0395781{col 26}{space 2} .0495328{col 37}{space 1}   -0.80{col 46}{space 3}0.425{col 54}{space 4}-.1372963{col 67}{space 3} .0581402
{txt}c_tfull_b_~d {c |}{col 14}{res}{space 2} .0312915{col 26}{space 2} .0564047{col 37}{space 1}    0.55{col 46}{space 3}0.580{col 54}{space 4}-.0799837{col 67}{space 3} .1425667
{txt}c_tfull_ed~r {c |}{col 14}{res}{space 2} .0095071{col 26}{space 2} .0036039{col 37}{space 1}    2.64{col 46}{space 3}0.009{col 54}{space 4} .0023975{col 67}{space 3} .0166168
{txt}c_tfull_b_~x {c |}{col 14}{res}{space 2} .0444258{col 26}{space 2} .0162695{col 37}{space 1}    2.73{col 46}{space 3}0.007{col 54}{space 4} .0123293{col 67}{space 3} .0765224
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} -.511236{col 26}{space 2} .0224249{col 37}{space 1}  -22.80{col 46}{space 3}0.000{col 54}{space 4}-.5554759{col 67}{space 3}-.4669962
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull = .002{p_end}

{txt}       F(  1,   186) ={res}    0.03
{txt}{col 13}Prob > F ={res}    0.8694

{p 0 7}{space 1}{text:( 1)}{space 1} treatfull = -.002{p_end}

{txt}       F(  1,   186) ={res}    0.00
{txt}{col 13}Prob > F ={res}    0.9852

{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}     4,930
{txt}{col 49}F({res}   9{txt},{res}    186{txt}){col 67}= {res}     77.06
{txt}{col 49}Prob > F{col 67}= {res}    0.0000
{txt}{col 49}R-squared{col 67}= {res}    0.1110
{txt}{col 49}Adj R-squared{col 67}= {res}    0.1066
{txt}{col 49}Root MSE{col 67}= {res}    0.8984

{txt}{ralign 78:(Std. Err. adjusted for {res:187} clusters in hc_id)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}e_healthou~z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2}-.0025068{col 26}{space 2} .0273728{col 37}{space 1}   -0.09{col 46}{space 3}0.927{col 54}{space 4}-.0565079{col 67}{space 3} .0514943
{txt}b_healthou~z {c |}{col 14}{res}{space 2} .1301056{col 26}{space 2} .0158563{col 37}{space 1}    8.21{col 46}{space 3}0.000{col 54}{space 4} .0988243{col 67}{space 3}  .161387
{txt}b_healthou~d {c |}{col 14}{res}{space 2} .6767453{col 26}{space 2} .0268257{col 37}{space 1}   25.23{col 46}{space 3}0.000{col 54}{space 4} .6238235{col 67}{space 3}  .729667
{txt}{space 1}c_tfull_hc2 {c |}{col 14}{res}{space 2}-.0150939{col 26}{space 2} .0391048{col 37}{space 1}   -0.39{col 46}{space 3}0.700{col 54}{space 4}-.0922398{col 67}{space 3}  .062052
{txt}c_tfull_b_~l {c |}{col 14}{res}{space 2}-.0461058{col 26}{space 2} .0434625{col 37}{space 1}   -1.06{col 46}{space 3}0.290{col 54}{space 4}-.1318486{col 67}{space 3} .0396371
{txt}c_tfull_b_~s {c |}{col 14}{res}{space 2}-.0395781{col 26}{space 2} .0495328{col 37}{space 1}   -0.80{col 46}{space 3}0.425{col 54}{space 4}-.1372963{col 67}{space 3} .0581402
{txt}c_tfull_b_~d {c |}{col 14}{res}{space 2} .0312915{col 26}{space 2} .0564047{col 37}{space 1}    0.55{col 46}{space 3}0.580{col 54}{space 4}-.0799837{col 67}{space 3} .1425667
{txt}c_tfull_ed~r {c |}{col 14}{res}{space 2} .0095071{col 26}{space 2} .0036039{col 37}{space 1}    2.64{col 46}{space 3}0.009{col 54}{space 4} .0023975{col 67}{space 3} .0166168
{txt}c_tfull_b_~x {c |}{col 14}{res}{space 2} .0444258{col 26}{space 2} .0162695{col 37}{space 1}    2.73{col 46}{space 3}0.007{col 54}{space 4} .0123293{col 67}{space 3} .0765224
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} -.511236{col 26}{space 2} .0224249{col 37}{space 1}  -22.80{col 46}{space 3}0.000{col 54}{space 4}-.5554759{col 67}{space 3}-.4669962
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull = .003{p_end}

{txt}       F(  1,   186) ={res}    0.04
{txt}{col 13}Prob > F ={res}    0.8408

{p 0 7}{space 1}{text:( 1)}{space 1} treatfull = -.003{p_end}

{txt}       F(  1,   186) ={res}    0.00
{txt}{col 13}Prob > F ={res}    0.9856

{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}     4,930
{txt}{col 49}F({res}   9{txt},{res}    186{txt}){col 67}= {res}     77.06
{txt}{col 49}Prob > F{col 67}= {res}    0.0000
{txt}{col 49}R-squared{col 67}= {res}    0.1110
{txt}{col 49}Adj R-squared{col 67}= {res}    0.1066
{txt}{col 49}Root MSE{col 67}= {res}    0.8984

{txt}{ralign 78:(Std. Err. adjusted for {res:187} clusters in hc_id)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}e_healthou~z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2}-.0025068{col 26}{space 2} .0273728{col 37}{space 1}   -0.09{col 46}{space 3}0.927{col 54}{space 4}-.0565079{col 67}{space 3} .0514943
{txt}b_healthou~z {c |}{col 14}{res}{space 2} .1301056{col 26}{space 2} .0158563{col 37}{space 1}    8.21{col 46}{space 3}0.000{col 54}{space 4} .0988243{col 67}{space 3}  .161387
{txt}b_healthou~d {c |}{col 14}{res}{space 2} .6767453{col 26}{space 2} .0268257{col 37}{space 1}   25.23{col 46}{space 3}0.000{col 54}{space 4} .6238235{col 67}{space 3}  .729667
{txt}{space 1}c_tfull_hc2 {c |}{col 14}{res}{space 2}-.0150939{col 26}{space 2} .0391048{col 37}{space 1}   -0.39{col 46}{space 3}0.700{col 54}{space 4}-.0922398{col 67}{space 3}  .062052
{txt}c_tfull_b_~l {c |}{col 14}{res}{space 2}-.0461058{col 26}{space 2} .0434625{col 37}{space 1}   -1.06{col 46}{space 3}0.290{col 54}{space 4}-.1318486{col 67}{space 3} .0396371
{txt}c_tfull_b_~s {c |}{col 14}{res}{space 2}-.0395781{col 26}{space 2} .0495328{col 37}{space 1}   -0.80{col 46}{space 3}0.425{col 54}{space 4}-.1372963{col 67}{space 3} .0581402
{txt}c_tfull_b_~d {c |}{col 14}{res}{space 2} .0312915{col 26}{space 2} .0564047{col 37}{space 1}    0.55{col 46}{space 3}0.580{col 54}{space 4}-.0799837{col 67}{space 3} .1425667
{txt}c_tfull_ed~r {c |}{col 14}{res}{space 2} .0095071{col 26}{space 2} .0036039{col 37}{space 1}    2.64{col 46}{space 3}0.009{col 54}{space 4} .0023975{col 67}{space 3} .0166168
{txt}c_tfull_b_~x {c |}{col 14}{res}{space 2} .0444258{col 26}{space 2} .0162695{col 37}{space 1}    2.73{col 46}{space 3}0.007{col 54}{space 4} .0123293{col 67}{space 3} .0765224
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} -.511236{col 26}{space 2} .0224249{col 37}{space 1}  -22.80{col 46}{space 3}0.000{col 54}{space 4}-.5554759{col 67}{space 3}-.4669962
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull = .004{p_end}

{txt}       F(  1,   186) ={res}    0.06
{txt}{col 13}Prob > F ={res}    0.8124

{p 0 7}{space 1}{text:( 1)}{space 1} treatfull = -.004{p_end}

{txt}       F(  1,   186) ={res}    0.00
{txt}{col 13}Prob > F ={res}    0.9566

{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}     4,930
{txt}{col 49}F({res}   9{txt},{res}    186{txt}){col 67}= {res}     77.06
{txt}{col 49}Prob > F{col 67}= {res}    0.0000
{txt}{col 49}R-squared{col 67}= {res}    0.1110
{txt}{col 49}Adj R-squared{col 67}= {res}    0.1066
{txt}{col 49}Root MSE{col 67}= {res}    0.8984

{txt}{ralign 78:(Std. Err. adjusted for {res:187} clusters in hc_id)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}e_healthou~z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2}-.0025068{col 26}{space 2} .0273728{col 37}{space 1}   -0.09{col 46}{space 3}0.927{col 54}{space 4}-.0565079{col 67}{space 3} .0514943
{txt}b_healthou~z {c |}{col 14}{res}{space 2} .1301056{col 26}{space 2} .0158563{col 37}{space 1}    8.21{col 46}{space 3}0.000{col 54}{space 4} .0988243{col 67}{space 3}  .161387
{txt}b_healthou~d {c |}{col 14}{res}{space 2} .6767453{col 26}{space 2} .0268257{col 37}{space 1}   25.23{col 46}{space 3}0.000{col 54}{space 4} .6238235{col 67}{space 3}  .729667
{txt}{space 1}c_tfull_hc2 {c |}{col 14}{res}{space 2}-.0150939{col 26}{space 2} .0391048{col 37}{space 1}   -0.39{col 46}{space 3}0.700{col 54}{space 4}-.0922398{col 67}{space 3}  .062052
{txt}c_tfull_b_~l {c |}{col 14}{res}{space 2}-.0461058{col 26}{space 2} .0434625{col 37}{space 1}   -1.06{col 46}{space 3}0.290{col 54}{space 4}-.1318486{col 67}{space 3} .0396371
{txt}c_tfull_b_~s {c |}{col 14}{res}{space 2}-.0395781{col 26}{space 2} .0495328{col 37}{space 1}   -0.80{col 46}{space 3}0.425{col 54}{space 4}-.1372963{col 67}{space 3} .0581402
{txt}c_tfull_b_~d {c |}{col 14}{res}{space 2} .0312915{col 26}{space 2} .0564047{col 37}{space 1}    0.55{col 46}{space 3}0.580{col 54}{space 4}-.0799837{col 67}{space 3} .1425667
{txt}c_tfull_ed~r {c |}{col 14}{res}{space 2} .0095071{col 26}{space 2} .0036039{col 37}{space 1}    2.64{col 46}{space 3}0.009{col 54}{space 4} .0023975{col 67}{space 3} .0166168
{txt}c_tfull_b_~x {c |}{col 14}{res}{space 2} .0444258{col 26}{space 2} .0162695{col 37}{space 1}    2.73{col 46}{space 3}0.007{col 54}{space 4} .0123293{col 67}{space 3} .0765224
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} -.511236{col 26}{space 2} .0224249{col 37}{space 1}  -22.80{col 46}{space 3}0.000{col 54}{space 4}-.5554759{col 67}{space 3}-.4669962
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull = .005{p_end}

{txt}       F(  1,   186) ={res}    0.08
{txt}{col 13}Prob > F ={res}    0.7842

{p 0 7}{space 1}{text:( 1)}{space 1} treatfull = -.005{p_end}

{txt}       F(  1,   186) ={res}    0.01
{txt}{col 13}Prob > F ={res}    0.9275

{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}     4,930
{txt}{col 49}F({res}   9{txt},{res}    186{txt}){col 67}= {res}     77.06
{txt}{col 49}Prob > F{col 67}= {res}    0.0000
{txt}{col 49}R-squared{col 67}= {res}    0.1110
{txt}{col 49}Adj R-squared{col 67}= {res}    0.1066
{txt}{col 49}Root MSE{col 67}= {res}    0.8984

{txt}{ralign 78:(Std. Err. adjusted for {res:187} clusters in hc_id)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}e_healthou~z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2}-.0025068{col 26}{space 2} .0273728{col 37}{space 1}   -0.09{col 46}{space 3}0.927{col 54}{space 4}-.0565079{col 67}{space 3} .0514943
{txt}b_healthou~z {c |}{col 14}{res}{space 2} .1301056{col 26}{space 2} .0158563{col 37}{space 1}    8.21{col 46}{space 3}0.000{col 54}{space 4} .0988243{col 67}{space 3}  .161387
{txt}b_healthou~d {c |}{col 14}{res}{space 2} .6767453{col 26}{space 2} .0268257{col 37}{space 1}   25.23{col 46}{space 3}0.000{col 54}{space 4} .6238235{col 67}{space 3}  .729667
{txt}{space 1}c_tfull_hc2 {c |}{col 14}{res}{space 2}-.0150939{col 26}{space 2} .0391048{col 37}{space 1}   -0.39{col 46}{space 3}0.700{col 54}{space 4}-.0922398{col 67}{space 3}  .062052
{txt}c_tfull_b_~l {c |}{col 14}{res}{space 2}-.0461058{col 26}{space 2} .0434625{col 37}{space 1}   -1.06{col 46}{space 3}0.290{col 54}{space 4}-.1318486{col 67}{space 3} .0396371
{txt}c_tfull_b_~s {c |}{col 14}{res}{space 2}-.0395781{col 26}{space 2} .0495328{col 37}{space 1}   -0.80{col 46}{space 3}0.425{col 54}{space 4}-.1372963{col 67}{space 3} .0581402
{txt}c_tfull_b_~d {c |}{col 14}{res}{space 2} .0312915{col 26}{space 2} .0564047{col 37}{space 1}    0.55{col 46}{space 3}0.580{col 54}{space 4}-.0799837{col 67}{space 3} .1425667
{txt}c_tfull_ed~r {c |}{col 14}{res}{space 2} .0095071{col 26}{space 2} .0036039{col 37}{space 1}    2.64{col 46}{space 3}0.009{col 54}{space 4} .0023975{col 67}{space 3} .0166168
{txt}c_tfull_b_~x {c |}{col 14}{res}{space 2} .0444258{col 26}{space 2} .0162695{col 37}{space 1}    2.73{col 46}{space 3}0.007{col 54}{space 4} .0123293{col 67}{space 3} .0765224
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} -.511236{col 26}{space 2} .0224249{col 37}{space 1}  -22.80{col 46}{space 3}0.000{col 54}{space 4}-.5554759{col 67}{space 3}-.4669962
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull = .006{p_end}

{txt}       F(  1,   186) ={res}    0.10
{txt}{col 13}Prob > F ={res}    0.7563

{p 0 7}{space 1}{text:( 1)}{space 1} treatfull = -.006{p_end}

{txt}       F(  1,   186) ={res}    0.02
{txt}{col 13}Prob > F ={res}    0.8986

{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}     4,930
{txt}{col 49}F({res}   9{txt},{res}    186{txt}){col 67}= {res}     77.06
{txt}{col 49}Prob > F{col 67}= {res}    0.0000
{txt}{col 49}R-squared{col 67}= {res}    0.1110
{txt}{col 49}Adj R-squared{col 67}= {res}    0.1066
{txt}{col 49}Root MSE{col 67}= {res}    0.8984

{txt}{ralign 78:(Std. Err. adjusted for {res:187} clusters in hc_id)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}e_healthou~z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2}-.0025068{col 26}{space 2} .0273728{col 37}{space 1}   -0.09{col 46}{space 3}0.927{col 54}{space 4}-.0565079{col 67}{space 3} .0514943
{txt}b_healthou~z {c |}{col 14}{res}{space 2} .1301056{col 26}{space 2} .0158563{col 37}{space 1}    8.21{col 46}{space 3}0.000{col 54}{space 4} .0988243{col 67}{space 3}  .161387
{txt}b_healthou~d {c |}{col 14}{res}{space 2} .6767453{col 26}{space 2} .0268257{col 37}{space 1}   25.23{col 46}{space 3}0.000{col 54}{space 4} .6238235{col 67}{space 3}  .729667
{txt}{space 1}c_tfull_hc2 {c |}{col 14}{res}{space 2}-.0150939{col 26}{space 2} .0391048{col 37}{space 1}   -0.39{col 46}{space 3}0.700{col 54}{space 4}-.0922398{col 67}{space 3}  .062052
{txt}c_tfull_b_~l {c |}{col 14}{res}{space 2}-.0461058{col 26}{space 2} .0434625{col 37}{space 1}   -1.06{col 46}{space 3}0.290{col 54}{space 4}-.1318486{col 67}{space 3} .0396371
{txt}c_tfull_b_~s {c |}{col 14}{res}{space 2}-.0395781{col 26}{space 2} .0495328{col 37}{space 1}   -0.80{col 46}{space 3}0.425{col 54}{space 4}-.1372963{col 67}{space 3} .0581402
{txt}c_tfull_b_~d {c |}{col 14}{res}{space 2} .0312915{col 26}{space 2} .0564047{col 37}{space 1}    0.55{col 46}{space 3}0.580{col 54}{space 4}-.0799837{col 67}{space 3} .1425667
{txt}c_tfull_ed~r {c |}{col 14}{res}{space 2} .0095071{col 26}{space 2} .0036039{col 37}{space 1}    2.64{col 46}{space 3}0.009{col 54}{space 4} .0023975{col 67}{space 3} .0166168
{txt}c_tfull_b_~x {c |}{col 14}{res}{space 2} .0444258{col 26}{space 2} .0162695{col 37}{space 1}    2.73{col 46}{space 3}0.007{col 54}{space 4} .0123293{col 67}{space 3} .0765224
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} -.511236{col 26}{space 2} .0224249{col 37}{space 1}  -22.80{col 46}{space 3}0.000{col 54}{space 4}-.5554759{col 67}{space 3}-.4669962
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull = .007{p_end}

{txt}       F(  1,   186) ={res}    0.12
{txt}{col 13}Prob > F ={res}    0.7288

{p 0 7}{space 1}{text:( 1)}{space 1} treatfull = -.007{p_end}

{txt}       F(  1,   186) ={res}    0.03
{txt}{col 13}Prob > F ={res}    0.8698

{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}     4,930
{txt}{col 49}F({res}   9{txt},{res}    186{txt}){col 67}= {res}     77.06
{txt}{col 49}Prob > F{col 67}= {res}    0.0000
{txt}{col 49}R-squared{col 67}= {res}    0.1110
{txt}{col 49}Adj R-squared{col 67}= {res}    0.1066
{txt}{col 49}Root MSE{col 67}= {res}    0.8984

{txt}{ralign 78:(Std. Err. adjusted for {res:187} clusters in hc_id)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}e_healthou~z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2}-.0025068{col 26}{space 2} .0273728{col 37}{space 1}   -0.09{col 46}{space 3}0.927{col 54}{space 4}-.0565079{col 67}{space 3} .0514943
{txt}b_healthou~z {c |}{col 14}{res}{space 2} .1301056{col 26}{space 2} .0158563{col 37}{space 1}    8.21{col 46}{space 3}0.000{col 54}{space 4} .0988243{col 67}{space 3}  .161387
{txt}b_healthou~d {c |}{col 14}{res}{space 2} .6767453{col 26}{space 2} .0268257{col 37}{space 1}   25.23{col 46}{space 3}0.000{col 54}{space 4} .6238235{col 67}{space 3}  .729667
{txt}{space 1}c_tfull_hc2 {c |}{col 14}{res}{space 2}-.0150939{col 26}{space 2} .0391048{col 37}{space 1}   -0.39{col 46}{space 3}0.700{col 54}{space 4}-.0922398{col 67}{space 3}  .062052
{txt}c_tfull_b_~l {c |}{col 14}{res}{space 2}-.0461058{col 26}{space 2} .0434625{col 37}{space 1}   -1.06{col 46}{space 3}0.290{col 54}{space 4}-.1318486{col 67}{space 3} .0396371
{txt}c_tfull_b_~s {c |}{col 14}{res}{space 2}-.0395781{col 26}{space 2} .0495328{col 37}{space 1}   -0.80{col 46}{space 3}0.425{col 54}{space 4}-.1372963{col 67}{space 3} .0581402
{txt}c_tfull_b_~d {c |}{col 14}{res}{space 2} .0312915{col 26}{space 2} .0564047{col 37}{space 1}    0.55{col 46}{space 3}0.580{col 54}{space 4}-.0799837{col 67}{space 3} .1425667
{txt}c_tfull_ed~r {c |}{col 14}{res}{space 2} .0095071{col 26}{space 2} .0036039{col 37}{space 1}    2.64{col 46}{space 3}0.009{col 54}{space 4} .0023975{col 67}{space 3} .0166168
{txt}c_tfull_b_~x {c |}{col 14}{res}{space 2} .0444258{col 26}{space 2} .0162695{col 37}{space 1}    2.73{col 46}{space 3}0.007{col 54}{space 4} .0123293{col 67}{space 3} .0765224
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} -.511236{col 26}{space 2} .0224249{col 37}{space 1}  -22.80{col 46}{space 3}0.000{col 54}{space 4}-.5554759{col 67}{space 3}-.4669962
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull = .008{p_end}

{txt}       F(  1,   186) ={res}    0.15
{txt}{col 13}Prob > F ={res}    0.7015

{p 0 7}{space 1}{text:( 1)}{space 1} treatfull = -.008{p_end}

{txt}       F(  1,   186) ={res}    0.04
{txt}{col 13}Prob > F ={res}    0.8412

{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}     4,930
{txt}{col 49}F({res}   9{txt},{res}    186{txt}){col 67}= {res}     77.06
{txt}{col 49}Prob > F{col 67}= {res}    0.0000
{txt}{col 49}R-squared{col 67}= {res}    0.1110
{txt}{col 49}Adj R-squared{col 67}= {res}    0.1066
{txt}{col 49}Root MSE{col 67}= {res}    0.8984

{txt}{ralign 78:(Std. Err. adjusted for {res:187} clusters in hc_id)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}e_healthou~z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2}-.0025068{col 26}{space 2} .0273728{col 37}{space 1}   -0.09{col 46}{space 3}0.927{col 54}{space 4}-.0565079{col 67}{space 3} .0514943
{txt}b_healthou~z {c |}{col 14}{res}{space 2} .1301056{col 26}{space 2} .0158563{col 37}{space 1}    8.21{col 46}{space 3}0.000{col 54}{space 4} .0988243{col 67}{space 3}  .161387
{txt}b_healthou~d {c |}{col 14}{res}{space 2} .6767453{col 26}{space 2} .0268257{col 37}{space 1}   25.23{col 46}{space 3}0.000{col 54}{space 4} .6238235{col 67}{space 3}  .729667
{txt}{space 1}c_tfull_hc2 {c |}{col 14}{res}{space 2}-.0150939{col 26}{space 2} .0391048{col 37}{space 1}   -0.39{col 46}{space 3}0.700{col 54}{space 4}-.0922398{col 67}{space 3}  .062052
{txt}c_tfull_b_~l {c |}{col 14}{res}{space 2}-.0461058{col 26}{space 2} .0434625{col 37}{space 1}   -1.06{col 46}{space 3}0.290{col 54}{space 4}-.1318486{col 67}{space 3} .0396371
{txt}c_tfull_b_~s {c |}{col 14}{res}{space 2}-.0395781{col 26}{space 2} .0495328{col 37}{space 1}   -0.80{col 46}{space 3}0.425{col 54}{space 4}-.1372963{col 67}{space 3} .0581402
{txt}c_tfull_b_~d {c |}{col 14}{res}{space 2} .0312915{col 26}{space 2} .0564047{col 37}{space 1}    0.55{col 46}{space 3}0.580{col 54}{space 4}-.0799837{col 67}{space 3} .1425667
{txt}c_tfull_ed~r {c |}{col 14}{res}{space 2} .0095071{col 26}{space 2} .0036039{col 37}{space 1}    2.64{col 46}{space 3}0.009{col 54}{space 4} .0023975{col 67}{space 3} .0166168
{txt}c_tfull_b_~x {c |}{col 14}{res}{space 2} .0444258{col 26}{space 2} .0162695{col 37}{space 1}    2.73{col 46}{space 3}0.007{col 54}{space 4} .0123293{col 67}{space 3} .0765224
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} -.511236{col 26}{space 2} .0224249{col 37}{space 1}  -22.80{col 46}{space 3}0.000{col 54}{space 4}-.5554759{col 67}{space 3}-.4669962
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull = .009{p_end}

{txt}       F(  1,   186) ={res}    0.18
{txt}{col 13}Prob > F ={res}    0.6747

{p 0 7}{space 1}{text:( 1)}{space 1} treatfull = -.009{p_end}

{txt}       F(  1,   186) ={res}    0.06
{txt}{col 13}Prob > F ={res}    0.8128

{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}     4,930
{txt}{col 49}F({res}   9{txt},{res}    186{txt}){col 67}= {res}     77.06
{txt}{col 49}Prob > F{col 67}= {res}    0.0000
{txt}{col 49}R-squared{col 67}= {res}    0.1110
{txt}{col 49}Adj R-squared{col 67}= {res}    0.1066
{txt}{col 49}Root MSE{col 67}= {res}    0.8984

{txt}{ralign 78:(Std. Err. adjusted for {res:187} clusters in hc_id)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}e_healthou~z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2}-.0025068{col 26}{space 2} .0273728{col 37}{space 1}   -0.09{col 46}{space 3}0.927{col 54}{space 4}-.0565079{col 67}{space 3} .0514943
{txt}b_healthou~z {c |}{col 14}{res}{space 2} .1301056{col 26}{space 2} .0158563{col 37}{space 1}    8.21{col 46}{space 3}0.000{col 54}{space 4} .0988243{col 67}{space 3}  .161387
{txt}b_healthou~d {c |}{col 14}{res}{space 2} .6767453{col 26}{space 2} .0268257{col 37}{space 1}   25.23{col 46}{space 3}0.000{col 54}{space 4} .6238235{col 67}{space 3}  .729667
{txt}{space 1}c_tfull_hc2 {c |}{col 14}{res}{space 2}-.0150939{col 26}{space 2} .0391048{col 37}{space 1}   -0.39{col 46}{space 3}0.700{col 54}{space 4}-.0922398{col 67}{space 3}  .062052
{txt}c_tfull_b_~l {c |}{col 14}{res}{space 2}-.0461058{col 26}{space 2} .0434625{col 37}{space 1}   -1.06{col 46}{space 3}0.290{col 54}{space 4}-.1318486{col 67}{space 3} .0396371
{txt}c_tfull_b_~s {c |}{col 14}{res}{space 2}-.0395781{col 26}{space 2} .0495328{col 37}{space 1}   -0.80{col 46}{space 3}0.425{col 54}{space 4}-.1372963{col 67}{space 3} .0581402
{txt}c_tfull_b_~d {c |}{col 14}{res}{space 2} .0312915{col 26}{space 2} .0564047{col 37}{space 1}    0.55{col 46}{space 3}0.580{col 54}{space 4}-.0799837{col 67}{space 3} .1425667
{txt}c_tfull_ed~r {c |}{col 14}{res}{space 2} .0095071{col 26}{space 2} .0036039{col 37}{space 1}    2.64{col 46}{space 3}0.009{col 54}{space 4} .0023975{col 67}{space 3} .0166168
{txt}c_tfull_b_~x {c |}{col 14}{res}{space 2} .0444258{col 26}{space 2} .0162695{col 37}{space 1}    2.73{col 46}{space 3}0.007{col 54}{space 4} .0123293{col 67}{space 3} .0765224
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} -.511236{col 26}{space 2} .0224249{col 37}{space 1}  -22.80{col 46}{space 3}0.000{col 54}{space 4}-.5554759{col 67}{space 3}-.4669962
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull = .01{p_end}

{txt}       F(  1,   186) ={res}    0.21
{txt}{col 13}Prob > F ={res}    0.6483

{p 0 7}{space 1}{text:( 1)}{space 1} treatfull = -.01{p_end}

{txt}       F(  1,   186) ={res}    0.07
{txt}{col 13}Prob > F ={res}    0.7846

{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}     4,930
{txt}{col 49}F({res}   9{txt},{res}    186{txt}){col 67}= {res}     77.06
{txt}{col 49}Prob > F{col 67}= {res}    0.0000
{txt}{col 49}R-squared{col 67}= {res}    0.1110
{txt}{col 49}Adj R-squared{col 67}= {res}    0.1066
{txt}{col 49}Root MSE{col 67}= {res}    0.8984

{txt}{ralign 78:(Std. Err. adjusted for {res:187} clusters in hc_id)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}e_healthou~z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2}-.0025068{col 26}{space 2} .0273728{col 37}{space 1}   -0.09{col 46}{space 3}0.927{col 54}{space 4}-.0565079{col 67}{space 3} .0514943
{txt}b_healthou~z {c |}{col 14}{res}{space 2} .1301056{col 26}{space 2} .0158563{col 37}{space 1}    8.21{col 46}{space 3}0.000{col 54}{space 4} .0988243{col 67}{space 3}  .161387
{txt}b_healthou~d {c |}{col 14}{res}{space 2} .6767453{col 26}{space 2} .0268257{col 37}{space 1}   25.23{col 46}{space 3}0.000{col 54}{space 4} .6238235{col 67}{space 3}  .729667
{txt}{space 1}c_tfull_hc2 {c |}{col 14}{res}{space 2}-.0150939{col 26}{space 2} .0391048{col 37}{space 1}   -0.39{col 46}{space 3}0.700{col 54}{space 4}-.0922398{col 67}{space 3}  .062052
{txt}c_tfull_b_~l {c |}{col 14}{res}{space 2}-.0461058{col 26}{space 2} .0434625{col 37}{space 1}   -1.06{col 46}{space 3}0.290{col 54}{space 4}-.1318486{col 67}{space 3} .0396371
{txt}c_tfull_b_~s {c |}{col 14}{res}{space 2}-.0395781{col 26}{space 2} .0495328{col 37}{space 1}   -0.80{col 46}{space 3}0.425{col 54}{space 4}-.1372963{col 67}{space 3} .0581402
{txt}c_tfull_b_~d {c |}{col 14}{res}{space 2} .0312915{col 26}{space 2} .0564047{col 37}{space 1}    0.55{col 46}{space 3}0.580{col 54}{space 4}-.0799837{col 67}{space 3} .1425667
{txt}c_tfull_ed~r {c |}{col 14}{res}{space 2} .0095071{col 26}{space 2} .0036039{col 37}{space 1}    2.64{col 46}{space 3}0.009{col 54}{space 4} .0023975{col 67}{space 3} .0166168
{txt}c_tfull_b_~x {c |}{col 14}{res}{space 2} .0444258{col 26}{space 2} .0162695{col 37}{space 1}    2.73{col 46}{space 3}0.007{col 54}{space 4} .0123293{col 67}{space 3} .0765224
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} -.511236{col 26}{space 2} .0224249{col 37}{space 1}  -22.80{col 46}{space 3}0.000{col 54}{space 4}-.5554759{col 67}{space 3}-.4669962
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull = .011{p_end}

{txt}       F(  1,   186) ={res}    0.24
{txt}{col 13}Prob > F ={res}    0.6223

{p 0 7}{space 1}{text:( 1)}{space 1} treatfull = -.011{p_end}

{txt}       F(  1,   186) ={res}    0.10
{txt}{col 13}Prob > F ={res}    0.7567

{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}     4,930
{txt}{col 49}F({res}   9{txt},{res}    186{txt}){col 67}= {res}     77.06
{txt}{col 49}Prob > F{col 67}= {res}    0.0000
{txt}{col 49}R-squared{col 67}= {res}    0.1110
{txt}{col 49}Adj R-squared{col 67}= {res}    0.1066
{txt}{col 49}Root MSE{col 67}= {res}    0.8984

{txt}{ralign 78:(Std. Err. adjusted for {res:187} clusters in hc_id)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}e_healthou~z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2}-.0025068{col 26}{space 2} .0273728{col 37}{space 1}   -0.09{col 46}{space 3}0.927{col 54}{space 4}-.0565079{col 67}{space 3} .0514943
{txt}b_healthou~z {c |}{col 14}{res}{space 2} .1301056{col 26}{space 2} .0158563{col 37}{space 1}    8.21{col 46}{space 3}0.000{col 54}{space 4} .0988243{col 67}{space 3}  .161387
{txt}b_healthou~d {c |}{col 14}{res}{space 2} .6767453{col 26}{space 2} .0268257{col 37}{space 1}   25.23{col 46}{space 3}0.000{col 54}{space 4} .6238235{col 67}{space 3}  .729667
{txt}{space 1}c_tfull_hc2 {c |}{col 14}{res}{space 2}-.0150939{col 26}{space 2} .0391048{col 37}{space 1}   -0.39{col 46}{space 3}0.700{col 54}{space 4}-.0922398{col 67}{space 3}  .062052
{txt}c_tfull_b_~l {c |}{col 14}{res}{space 2}-.0461058{col 26}{space 2} .0434625{col 37}{space 1}   -1.06{col 46}{space 3}0.290{col 54}{space 4}-.1318486{col 67}{space 3} .0396371
{txt}c_tfull_b_~s {c |}{col 14}{res}{space 2}-.0395781{col 26}{space 2} .0495328{col 37}{space 1}   -0.80{col 46}{space 3}0.425{col 54}{space 4}-.1372963{col 67}{space 3} .0581402
{txt}c_tfull_b_~d {c |}{col 14}{res}{space 2} .0312915{col 26}{space 2} .0564047{col 37}{space 1}    0.55{col 46}{space 3}0.580{col 54}{space 4}-.0799837{col 67}{space 3} .1425667
{txt}c_tfull_ed~r {c |}{col 14}{res}{space 2} .0095071{col 26}{space 2} .0036039{col 37}{space 1}    2.64{col 46}{space 3}0.009{col 54}{space 4} .0023975{col 67}{space 3} .0166168
{txt}c_tfull_b_~x {c |}{col 14}{res}{space 2} .0444258{col 26}{space 2} .0162695{col 37}{space 1}    2.73{col 46}{space 3}0.007{col 54}{space 4} .0123293{col 67}{space 3} .0765224
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} -.511236{col 26}{space 2} .0224249{col 37}{space 1}  -22.80{col 46}{space 3}0.000{col 54}{space 4}-.5554759{col 67}{space 3}-.4669962
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull = .012{p_end}

{txt}       F(  1,   186) ={res}    0.28
{txt}{col 13}Prob > F ={res}    0.5968

{p 0 7}{space 1}{text:( 1)}{space 1} treatfull = -.012{p_end}

{txt}       F(  1,   186) ={res}    0.12
{txt}{col 13}Prob > F ={res}    0.7291

{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}     4,930
{txt}{col 49}F({res}   9{txt},{res}    186{txt}){col 67}= {res}     77.06
{txt}{col 49}Prob > F{col 67}= {res}    0.0000
{txt}{col 49}R-squared{col 67}= {res}    0.1110
{txt}{col 49}Adj R-squared{col 67}= {res}    0.1066
{txt}{col 49}Root MSE{col 67}= {res}    0.8984

{txt}{ralign 78:(Std. Err. adjusted for {res:187} clusters in hc_id)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}e_healthou~z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2}-.0025068{col 26}{space 2} .0273728{col 37}{space 1}   -0.09{col 46}{space 3}0.927{col 54}{space 4}-.0565079{col 67}{space 3} .0514943
{txt}b_healthou~z {c |}{col 14}{res}{space 2} .1301056{col 26}{space 2} .0158563{col 37}{space 1}    8.21{col 46}{space 3}0.000{col 54}{space 4} .0988243{col 67}{space 3}  .161387
{txt}b_healthou~d {c |}{col 14}{res}{space 2} .6767453{col 26}{space 2} .0268257{col 37}{space 1}   25.23{col 46}{space 3}0.000{col 54}{space 4} .6238235{col 67}{space 3}  .729667
{txt}{space 1}c_tfull_hc2 {c |}{col 14}{res}{space 2}-.0150939{col 26}{space 2} .0391048{col 37}{space 1}   -0.39{col 46}{space 3}0.700{col 54}{space 4}-.0922398{col 67}{space 3}  .062052
{txt}c_tfull_b_~l {c |}{col 14}{res}{space 2}-.0461058{col 26}{space 2} .0434625{col 37}{space 1}   -1.06{col 46}{space 3}0.290{col 54}{space 4}-.1318486{col 67}{space 3} .0396371
{txt}c_tfull_b_~s {c |}{col 14}{res}{space 2}-.0395781{col 26}{space 2} .0495328{col 37}{space 1}   -0.80{col 46}{space 3}0.425{col 54}{space 4}-.1372963{col 67}{space 3} .0581402
{txt}c_tfull_b_~d {c |}{col 14}{res}{space 2} .0312915{col 26}{space 2} .0564047{col 37}{space 1}    0.55{col 46}{space 3}0.580{col 54}{space 4}-.0799837{col 67}{space 3} .1425667
{txt}c_tfull_ed~r {c |}{col 14}{res}{space 2} .0095071{col 26}{space 2} .0036039{col 37}{space 1}    2.64{col 46}{space 3}0.009{col 54}{space 4} .0023975{col 67}{space 3} .0166168
{txt}c_tfull_b_~x {c |}{col 14}{res}{space 2} .0444258{col 26}{space 2} .0162695{col 37}{space 1}    2.73{col 46}{space 3}0.007{col 54}{space 4} .0123293{col 67}{space 3} .0765224
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} -.511236{col 26}{space 2} .0224249{col 37}{space 1}  -22.80{col 46}{space 3}0.000{col 54}{space 4}-.5554759{col 67}{space 3}-.4669962
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull = .013{p_end}

{txt}       F(  1,   186) ={res}    0.32
{txt}{col 13}Prob > F ={res}    0.5717

{p 0 7}{space 1}{text:( 1)}{space 1} treatfull = -.013{p_end}

{txt}       F(  1,   186) ={res}    0.15
{txt}{col 13}Prob > F ={res}    0.7019

{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}     4,930
{txt}{col 49}F({res}   9{txt},{res}    186{txt}){col 67}= {res}     77.06
{txt}{col 49}Prob > F{col 67}= {res}    0.0000
{txt}{col 49}R-squared{col 67}= {res}    0.1110
{txt}{col 49}Adj R-squared{col 67}= {res}    0.1066
{txt}{col 49}Root MSE{col 67}= {res}    0.8984

{txt}{ralign 78:(Std. Err. adjusted for {res:187} clusters in hc_id)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}e_healthou~z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2}-.0025068{col 26}{space 2} .0273728{col 37}{space 1}   -0.09{col 46}{space 3}0.927{col 54}{space 4}-.0565079{col 67}{space 3} .0514943
{txt}b_healthou~z {c |}{col 14}{res}{space 2} .1301056{col 26}{space 2} .0158563{col 37}{space 1}    8.21{col 46}{space 3}0.000{col 54}{space 4} .0988243{col 67}{space 3}  .161387
{txt}b_healthou~d {c |}{col 14}{res}{space 2} .6767453{col 26}{space 2} .0268257{col 37}{space 1}   25.23{col 46}{space 3}0.000{col 54}{space 4} .6238235{col 67}{space 3}  .729667
{txt}{space 1}c_tfull_hc2 {c |}{col 14}{res}{space 2}-.0150939{col 26}{space 2} .0391048{col 37}{space 1}   -0.39{col 46}{space 3}0.700{col 54}{space 4}-.0922398{col 67}{space 3}  .062052
{txt}c_tfull_b_~l {c |}{col 14}{res}{space 2}-.0461058{col 26}{space 2} .0434625{col 37}{space 1}   -1.06{col 46}{space 3}0.290{col 54}{space 4}-.1318486{col 67}{space 3} .0396371
{txt}c_tfull_b_~s {c |}{col 14}{res}{space 2}-.0395781{col 26}{space 2} .0495328{col 37}{space 1}   -0.80{col 46}{space 3}0.425{col 54}{space 4}-.1372963{col 67}{space 3} .0581402
{txt}c_tfull_b_~d {c |}{col 14}{res}{space 2} .0312915{col 26}{space 2} .0564047{col 37}{space 1}    0.55{col 46}{space 3}0.580{col 54}{space 4}-.0799837{col 67}{space 3} .1425667
{txt}c_tfull_ed~r {c |}{col 14}{res}{space 2} .0095071{col 26}{space 2} .0036039{col 37}{space 1}    2.64{col 46}{space 3}0.009{col 54}{space 4} .0023975{col 67}{space 3} .0166168
{txt}c_tfull_b_~x {c |}{col 14}{res}{space 2} .0444258{col 26}{space 2} .0162695{col 37}{space 1}    2.73{col 46}{space 3}0.007{col 54}{space 4} .0123293{col 67}{space 3} .0765224
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} -.511236{col 26}{space 2} .0224249{col 37}{space 1}  -22.80{col 46}{space 3}0.000{col 54}{space 4}-.5554759{col 67}{space 3}-.4669962
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull = .014{p_end}

{txt}       F(  1,   186) ={res}    0.36
{txt}{col 13}Prob > F ={res}    0.5472

{p 0 7}{space 1}{text:( 1)}{space 1} treatfull = -.014{p_end}

{txt}       F(  1,   186) ={res}    0.18
{txt}{col 13}Prob > F ={res}    0.6751

{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}     4,930
{txt}{col 49}F({res}   9{txt},{res}    186{txt}){col 67}= {res}     77.06
{txt}{col 49}Prob > F{col 67}= {res}    0.0000
{txt}{col 49}R-squared{col 67}= {res}    0.1110
{txt}{col 49}Adj R-squared{col 67}= {res}    0.1066
{txt}{col 49}Root MSE{col 67}= {res}    0.8984

{txt}{ralign 78:(Std. Err. adjusted for {res:187} clusters in hc_id)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}e_healthou~z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2}-.0025068{col 26}{space 2} .0273728{col 37}{space 1}   -0.09{col 46}{space 3}0.927{col 54}{space 4}-.0565079{col 67}{space 3} .0514943
{txt}b_healthou~z {c |}{col 14}{res}{space 2} .1301056{col 26}{space 2} .0158563{col 37}{space 1}    8.21{col 46}{space 3}0.000{col 54}{space 4} .0988243{col 67}{space 3}  .161387
{txt}b_healthou~d {c |}{col 14}{res}{space 2} .6767453{col 26}{space 2} .0268257{col 37}{space 1}   25.23{col 46}{space 3}0.000{col 54}{space 4} .6238235{col 67}{space 3}  .729667
{txt}{space 1}c_tfull_hc2 {c |}{col 14}{res}{space 2}-.0150939{col 26}{space 2} .0391048{col 37}{space 1}   -0.39{col 46}{space 3}0.700{col 54}{space 4}-.0922398{col 67}{space 3}  .062052
{txt}c_tfull_b_~l {c |}{col 14}{res}{space 2}-.0461058{col 26}{space 2} .0434625{col 37}{space 1}   -1.06{col 46}{space 3}0.290{col 54}{space 4}-.1318486{col 67}{space 3} .0396371
{txt}c_tfull_b_~s {c |}{col 14}{res}{space 2}-.0395781{col 26}{space 2} .0495328{col 37}{space 1}   -0.80{col 46}{space 3}0.425{col 54}{space 4}-.1372963{col 67}{space 3} .0581402
{txt}c_tfull_b_~d {c |}{col 14}{res}{space 2} .0312915{col 26}{space 2} .0564047{col 37}{space 1}    0.55{col 46}{space 3}0.580{col 54}{space 4}-.0799837{col 67}{space 3} .1425667
{txt}c_tfull_ed~r {c |}{col 14}{res}{space 2} .0095071{col 26}{space 2} .0036039{col 37}{space 1}    2.64{col 46}{space 3}0.009{col 54}{space 4} .0023975{col 67}{space 3} .0166168
{txt}c_tfull_b_~x {c |}{col 14}{res}{space 2} .0444258{col 26}{space 2} .0162695{col 37}{space 1}    2.73{col 46}{space 3}0.007{col 54}{space 4} .0123293{col 67}{space 3} .0765224
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} -.511236{col 26}{space 2} .0224249{col 37}{space 1}  -22.80{col 46}{space 3}0.000{col 54}{space 4}-.5554759{col 67}{space 3}-.4669962
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull = .015{p_end}

{txt}       F(  1,   186) ={res}    0.41
{txt}{col 13}Prob > F ={res}    0.5232

{p 0 7}{space 1}{text:( 1)}{space 1} treatfull = -.015{p_end}

{txt}       F(  1,   186) ={res}    0.21
{txt}{col 13}Prob > F ={res}    0.6486

{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}     4,930
{txt}{col 49}F({res}   9{txt},{res}    186{txt}){col 67}= {res}     77.06
{txt}{col 49}Prob > F{col 67}= {res}    0.0000
{txt}{col 49}R-squared{col 67}= {res}    0.1110
{txt}{col 49}Adj R-squared{col 67}= {res}    0.1066
{txt}{col 49}Root MSE{col 67}= {res}    0.8984

{txt}{ralign 78:(Std. Err. adjusted for {res:187} clusters in hc_id)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}e_healthou~z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2}-.0025068{col 26}{space 2} .0273728{col 37}{space 1}   -0.09{col 46}{space 3}0.927{col 54}{space 4}-.0565079{col 67}{space 3} .0514943
{txt}b_healthou~z {c |}{col 14}{res}{space 2} .1301056{col 26}{space 2} .0158563{col 37}{space 1}    8.21{col 46}{space 3}0.000{col 54}{space 4} .0988243{col 67}{space 3}  .161387
{txt}b_healthou~d {c |}{col 14}{res}{space 2} .6767453{col 26}{space 2} .0268257{col 37}{space 1}   25.23{col 46}{space 3}0.000{col 54}{space 4} .6238235{col 67}{space 3}  .729667
{txt}{space 1}c_tfull_hc2 {c |}{col 14}{res}{space 2}-.0150939{col 26}{space 2} .0391048{col 37}{space 1}   -0.39{col 46}{space 3}0.700{col 54}{space 4}-.0922398{col 67}{space 3}  .062052
{txt}c_tfull_b_~l {c |}{col 14}{res}{space 2}-.0461058{col 26}{space 2} .0434625{col 37}{space 1}   -1.06{col 46}{space 3}0.290{col 54}{space 4}-.1318486{col 67}{space 3} .0396371
{txt}c_tfull_b_~s {c |}{col 14}{res}{space 2}-.0395781{col 26}{space 2} .0495328{col 37}{space 1}   -0.80{col 46}{space 3}0.425{col 54}{space 4}-.1372963{col 67}{space 3} .0581402
{txt}c_tfull_b_~d {c |}{col 14}{res}{space 2} .0312915{col 26}{space 2} .0564047{col 37}{space 1}    0.55{col 46}{space 3}0.580{col 54}{space 4}-.0799837{col 67}{space 3} .1425667
{txt}c_tfull_ed~r {c |}{col 14}{res}{space 2} .0095071{col 26}{space 2} .0036039{col 37}{space 1}    2.64{col 46}{space 3}0.009{col 54}{space 4} .0023975{col 67}{space 3} .0166168
{txt}c_tfull_b_~x {c |}{col 14}{res}{space 2} .0444258{col 26}{space 2} .0162695{col 37}{space 1}    2.73{col 46}{space 3}0.007{col 54}{space 4} .0123293{col 67}{space 3} .0765224
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} -.511236{col 26}{space 2} .0224249{col 37}{space 1}  -22.80{col 46}{space 3}0.000{col 54}{space 4}-.5554759{col 67}{space 3}-.4669962
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull = .016{p_end}

{txt}       F(  1,   186) ={res}    0.46
{txt}{col 13}Prob > F ={res}    0.4998

{p 0 7}{space 1}{text:( 1)}{space 1} treatfull = -.016{p_end}

{txt}       F(  1,   186) ={res}    0.24
{txt}{col 13}Prob > F ={res}    0.6226

{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}     4,930
{txt}{col 49}F({res}   9{txt},{res}    186{txt}){col 67}= {res}     77.06
{txt}{col 49}Prob > F{col 67}= {res}    0.0000
{txt}{col 49}R-squared{col 67}= {res}    0.1110
{txt}{col 49}Adj R-squared{col 67}= {res}    0.1066
{txt}{col 49}Root MSE{col 67}= {res}    0.8984

{txt}{ralign 78:(Std. Err. adjusted for {res:187} clusters in hc_id)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}e_healthou~z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2}-.0025068{col 26}{space 2} .0273728{col 37}{space 1}   -0.09{col 46}{space 3}0.927{col 54}{space 4}-.0565079{col 67}{space 3} .0514943
{txt}b_healthou~z {c |}{col 14}{res}{space 2} .1301056{col 26}{space 2} .0158563{col 37}{space 1}    8.21{col 46}{space 3}0.000{col 54}{space 4} .0988243{col 67}{space 3}  .161387
{txt}b_healthou~d {c |}{col 14}{res}{space 2} .6767453{col 26}{space 2} .0268257{col 37}{space 1}   25.23{col 46}{space 3}0.000{col 54}{space 4} .6238235{col 67}{space 3}  .729667
{txt}{space 1}c_tfull_hc2 {c |}{col 14}{res}{space 2}-.0150939{col 26}{space 2} .0391048{col 37}{space 1}   -0.39{col 46}{space 3}0.700{col 54}{space 4}-.0922398{col 67}{space 3}  .062052
{txt}c_tfull_b_~l {c |}{col 14}{res}{space 2}-.0461058{col 26}{space 2} .0434625{col 37}{space 1}   -1.06{col 46}{space 3}0.290{col 54}{space 4}-.1318486{col 67}{space 3} .0396371
{txt}c_tfull_b_~s {c |}{col 14}{res}{space 2}-.0395781{col 26}{space 2} .0495328{col 37}{space 1}   -0.80{col 46}{space 3}0.425{col 54}{space 4}-.1372963{col 67}{space 3} .0581402
{txt}c_tfull_b_~d {c |}{col 14}{res}{space 2} .0312915{col 26}{space 2} .0564047{col 37}{space 1}    0.55{col 46}{space 3}0.580{col 54}{space 4}-.0799837{col 67}{space 3} .1425667
{txt}c_tfull_ed~r {c |}{col 14}{res}{space 2} .0095071{col 26}{space 2} .0036039{col 37}{space 1}    2.64{col 46}{space 3}0.009{col 54}{space 4} .0023975{col 67}{space 3} .0166168
{txt}c_tfull_b_~x {c |}{col 14}{res}{space 2} .0444258{col 26}{space 2} .0162695{col 37}{space 1}    2.73{col 46}{space 3}0.007{col 54}{space 4} .0123293{col 67}{space 3} .0765224
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} -.511236{col 26}{space 2} .0224249{col 37}{space 1}  -22.80{col 46}{space 3}0.000{col 54}{space 4}-.5554759{col 67}{space 3}-.4669962
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull = .017{p_end}

{txt}       F(  1,   186) ={res}    0.51
{txt}{col 13}Prob > F ={res}    0.4770

{p 0 7}{space 1}{text:( 1)}{space 1} treatfull = -.017{p_end}

{txt}       F(  1,   186) ={res}    0.28
{txt}{col 13}Prob > F ={res}    0.5971

{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}     4,930
{txt}{col 49}F({res}   9{txt},{res}    186{txt}){col 67}= {res}     77.06
{txt}{col 49}Prob > F{col 67}= {res}    0.0000
{txt}{col 49}R-squared{col 67}= {res}    0.1110
{txt}{col 49}Adj R-squared{col 67}= {res}    0.1066
{txt}{col 49}Root MSE{col 67}= {res}    0.8984

{txt}{ralign 78:(Std. Err. adjusted for {res:187} clusters in hc_id)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}e_healthou~z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2}-.0025068{col 26}{space 2} .0273728{col 37}{space 1}   -0.09{col 46}{space 3}0.927{col 54}{space 4}-.0565079{col 67}{space 3} .0514943
{txt}b_healthou~z {c |}{col 14}{res}{space 2} .1301056{col 26}{space 2} .0158563{col 37}{space 1}    8.21{col 46}{space 3}0.000{col 54}{space 4} .0988243{col 67}{space 3}  .161387
{txt}b_healthou~d {c |}{col 14}{res}{space 2} .6767453{col 26}{space 2} .0268257{col 37}{space 1}   25.23{col 46}{space 3}0.000{col 54}{space 4} .6238235{col 67}{space 3}  .729667
{txt}{space 1}c_tfull_hc2 {c |}{col 14}{res}{space 2}-.0150939{col 26}{space 2} .0391048{col 37}{space 1}   -0.39{col 46}{space 3}0.700{col 54}{space 4}-.0922398{col 67}{space 3}  .062052
{txt}c_tfull_b_~l {c |}{col 14}{res}{space 2}-.0461058{col 26}{space 2} .0434625{col 37}{space 1}   -1.06{col 46}{space 3}0.290{col 54}{space 4}-.1318486{col 67}{space 3} .0396371
{txt}c_tfull_b_~s {c |}{col 14}{res}{space 2}-.0395781{col 26}{space 2} .0495328{col 37}{space 1}   -0.80{col 46}{space 3}0.425{col 54}{space 4}-.1372963{col 67}{space 3} .0581402
{txt}c_tfull_b_~d {c |}{col 14}{res}{space 2} .0312915{col 26}{space 2} .0564047{col 37}{space 1}    0.55{col 46}{space 3}0.580{col 54}{space 4}-.0799837{col 67}{space 3} .1425667
{txt}c_tfull_ed~r {c |}{col 14}{res}{space 2} .0095071{col 26}{space 2} .0036039{col 37}{space 1}    2.64{col 46}{space 3}0.009{col 54}{space 4} .0023975{col 67}{space 3} .0166168
{txt}c_tfull_b_~x {c |}{col 14}{res}{space 2} .0444258{col 26}{space 2} .0162695{col 37}{space 1}    2.73{col 46}{space 3}0.007{col 54}{space 4} .0123293{col 67}{space 3} .0765224
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} -.511236{col 26}{space 2} .0224249{col 37}{space 1}  -22.80{col 46}{space 3}0.000{col 54}{space 4}-.5554759{col 67}{space 3}-.4669962
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull = .018{p_end}

{txt}       F(  1,   186) ={res}    0.56
{txt}{col 13}Prob > F ={res}    0.4547

{p 0 7}{space 1}{text:( 1)}{space 1} treatfull = -.018{p_end}

{txt}       F(  1,   186) ={res}    0.32
{txt}{col 13}Prob > F ={res}    0.5721

{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}     4,930
{txt}{col 49}F({res}   9{txt},{res}    186{txt}){col 67}= {res}     77.06
{txt}{col 49}Prob > F{col 67}= {res}    0.0000
{txt}{col 49}R-squared{col 67}= {res}    0.1110
{txt}{col 49}Adj R-squared{col 67}= {res}    0.1066
{txt}{col 49}Root MSE{col 67}= {res}    0.8984

{txt}{ralign 78:(Std. Err. adjusted for {res:187} clusters in hc_id)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}e_healthou~z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2}-.0025068{col 26}{space 2} .0273728{col 37}{space 1}   -0.09{col 46}{space 3}0.927{col 54}{space 4}-.0565079{col 67}{space 3} .0514943
{txt}b_healthou~z {c |}{col 14}{res}{space 2} .1301056{col 26}{space 2} .0158563{col 37}{space 1}    8.21{col 46}{space 3}0.000{col 54}{space 4} .0988243{col 67}{space 3}  .161387
{txt}b_healthou~d {c |}{col 14}{res}{space 2} .6767453{col 26}{space 2} .0268257{col 37}{space 1}   25.23{col 46}{space 3}0.000{col 54}{space 4} .6238235{col 67}{space 3}  .729667
{txt}{space 1}c_tfull_hc2 {c |}{col 14}{res}{space 2}-.0150939{col 26}{space 2} .0391048{col 37}{space 1}   -0.39{col 46}{space 3}0.700{col 54}{space 4}-.0922398{col 67}{space 3}  .062052
{txt}c_tfull_b_~l {c |}{col 14}{res}{space 2}-.0461058{col 26}{space 2} .0434625{col 37}{space 1}   -1.06{col 46}{space 3}0.290{col 54}{space 4}-.1318486{col 67}{space 3} .0396371
{txt}c_tfull_b_~s {c |}{col 14}{res}{space 2}-.0395781{col 26}{space 2} .0495328{col 37}{space 1}   -0.80{col 46}{space 3}0.425{col 54}{space 4}-.1372963{col 67}{space 3} .0581402
{txt}c_tfull_b_~d {c |}{col 14}{res}{space 2} .0312915{col 26}{space 2} .0564047{col 37}{space 1}    0.55{col 46}{space 3}0.580{col 54}{space 4}-.0799837{col 67}{space 3} .1425667
{txt}c_tfull_ed~r {c |}{col 14}{res}{space 2} .0095071{col 26}{space 2} .0036039{col 37}{space 1}    2.64{col 46}{space 3}0.009{col 54}{space 4} .0023975{col 67}{space 3} .0166168
{txt}c_tfull_b_~x {c |}{col 14}{res}{space 2} .0444258{col 26}{space 2} .0162695{col 37}{space 1}    2.73{col 46}{space 3}0.007{col 54}{space 4} .0123293{col 67}{space 3} .0765224
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} -.511236{col 26}{space 2} .0224249{col 37}{space 1}  -22.80{col 46}{space 3}0.000{col 54}{space 4}-.5554759{col 67}{space 3}-.4669962
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull = .019{p_end}

{txt}       F(  1,   186) ={res}    0.62
{txt}{col 13}Prob > F ={res}    0.4330

{p 0 7}{space 1}{text:( 1)}{space 1} treatfull = -.019{p_end}

{txt}       F(  1,   186) ={res}    0.36
{txt}{col 13}Prob > F ={res}    0.5476

{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}     4,930
{txt}{col 49}F({res}   9{txt},{res}    186{txt}){col 67}= {res}     77.06
{txt}{col 49}Prob > F{col 67}= {res}    0.0000
{txt}{col 49}R-squared{col 67}= {res}    0.1110
{txt}{col 49}Adj R-squared{col 67}= {res}    0.1066
{txt}{col 49}Root MSE{col 67}= {res}    0.8984

{txt}{ralign 78:(Std. Err. adjusted for {res:187} clusters in hc_id)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}e_healthou~z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2}-.0025068{col 26}{space 2} .0273728{col 37}{space 1}   -0.09{col 46}{space 3}0.927{col 54}{space 4}-.0565079{col 67}{space 3} .0514943
{txt}b_healthou~z {c |}{col 14}{res}{space 2} .1301056{col 26}{space 2} .0158563{col 37}{space 1}    8.21{col 46}{space 3}0.000{col 54}{space 4} .0988243{col 67}{space 3}  .161387
{txt}b_healthou~d {c |}{col 14}{res}{space 2} .6767453{col 26}{space 2} .0268257{col 37}{space 1}   25.23{col 46}{space 3}0.000{col 54}{space 4} .6238235{col 67}{space 3}  .729667
{txt}{space 1}c_tfull_hc2 {c |}{col 14}{res}{space 2}-.0150939{col 26}{space 2} .0391048{col 37}{space 1}   -0.39{col 46}{space 3}0.700{col 54}{space 4}-.0922398{col 67}{space 3}  .062052
{txt}c_tfull_b_~l {c |}{col 14}{res}{space 2}-.0461058{col 26}{space 2} .0434625{col 37}{space 1}   -1.06{col 46}{space 3}0.290{col 54}{space 4}-.1318486{col 67}{space 3} .0396371
{txt}c_tfull_b_~s {c |}{col 14}{res}{space 2}-.0395781{col 26}{space 2} .0495328{col 37}{space 1}   -0.80{col 46}{space 3}0.425{col 54}{space 4}-.1372963{col 67}{space 3} .0581402
{txt}c_tfull_b_~d {c |}{col 14}{res}{space 2} .0312915{col 26}{space 2} .0564047{col 37}{space 1}    0.55{col 46}{space 3}0.580{col 54}{space 4}-.0799837{col 67}{space 3} .1425667
{txt}c_tfull_ed~r {c |}{col 14}{res}{space 2} .0095071{col 26}{space 2} .0036039{col 37}{space 1}    2.64{col 46}{space 3}0.009{col 54}{space 4} .0023975{col 67}{space 3} .0166168
{txt}c_tfull_b_~x {c |}{col 14}{res}{space 2} .0444258{col 26}{space 2} .0162695{col 37}{space 1}    2.73{col 46}{space 3}0.007{col 54}{space 4} .0123293{col 67}{space 3} .0765224
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} -.511236{col 26}{space 2} .0224249{col 37}{space 1}  -22.80{col 46}{space 3}0.000{col 54}{space 4}-.5554759{col 67}{space 3}-.4669962
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull = .02{p_end}

{txt}       F(  1,   186) ={res}    0.68
{txt}{col 13}Prob > F ={res}    0.4120

{p 0 7}{space 1}{text:( 1)}{space 1} treatfull = -.02{p_end}

{txt}       F(  1,   186) ={res}    0.41
{txt}{col 13}Prob > F ={res}    0.5236

{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}     4,930
{txt}{col 49}F({res}   9{txt},{res}    186{txt}){col 67}= {res}     77.06
{txt}{col 49}Prob > F{col 67}= {res}    0.0000
{txt}{col 49}R-squared{col 67}= {res}    0.1110
{txt}{col 49}Adj R-squared{col 67}= {res}    0.1066
{txt}{col 49}Root MSE{col 67}= {res}    0.8984

{txt}{ralign 78:(Std. Err. adjusted for {res:187} clusters in hc_id)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}e_healthou~z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2}-.0025068{col 26}{space 2} .0273728{col 37}{space 1}   -0.09{col 46}{space 3}0.927{col 54}{space 4}-.0565079{col 67}{space 3} .0514943
{txt}b_healthou~z {c |}{col 14}{res}{space 2} .1301056{col 26}{space 2} .0158563{col 37}{space 1}    8.21{col 46}{space 3}0.000{col 54}{space 4} .0988243{col 67}{space 3}  .161387
{txt}b_healthou~d {c |}{col 14}{res}{space 2} .6767453{col 26}{space 2} .0268257{col 37}{space 1}   25.23{col 46}{space 3}0.000{col 54}{space 4} .6238235{col 67}{space 3}  .729667
{txt}{space 1}c_tfull_hc2 {c |}{col 14}{res}{space 2}-.0150939{col 26}{space 2} .0391048{col 37}{space 1}   -0.39{col 46}{space 3}0.700{col 54}{space 4}-.0922398{col 67}{space 3}  .062052
{txt}c_tfull_b_~l {c |}{col 14}{res}{space 2}-.0461058{col 26}{space 2} .0434625{col 37}{space 1}   -1.06{col 46}{space 3}0.290{col 54}{space 4}-.1318486{col 67}{space 3} .0396371
{txt}c_tfull_b_~s {c |}{col 14}{res}{space 2}-.0395781{col 26}{space 2} .0495328{col 37}{space 1}   -0.80{col 46}{space 3}0.425{col 54}{space 4}-.1372963{col 67}{space 3} .0581402
{txt}c_tfull_b_~d {c |}{col 14}{res}{space 2} .0312915{col 26}{space 2} .0564047{col 37}{space 1}    0.55{col 46}{space 3}0.580{col 54}{space 4}-.0799837{col 67}{space 3} .1425667
{txt}c_tfull_ed~r {c |}{col 14}{res}{space 2} .0095071{col 26}{space 2} .0036039{col 37}{space 1}    2.64{col 46}{space 3}0.009{col 54}{space 4} .0023975{col 67}{space 3} .0166168
{txt}c_tfull_b_~x {c |}{col 14}{res}{space 2} .0444258{col 26}{space 2} .0162695{col 37}{space 1}    2.73{col 46}{space 3}0.007{col 54}{space 4} .0123293{col 67}{space 3} .0765224
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} -.511236{col 26}{space 2} .0224249{col 37}{space 1}  -22.80{col 46}{space 3}0.000{col 54}{space 4}-.5554759{col 67}{space 3}-.4669962
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull = .021{p_end}

{txt}       F(  1,   186) ={res}    0.74
{txt}{col 13}Prob > F ={res}    0.3916

{p 0 7}{space 1}{text:( 1)}{space 1} treatfull = -.021{p_end}

{txt}       F(  1,   186) ={res}    0.46
{txt}{col 13}Prob > F ={res}    0.5001

{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}     4,930
{txt}{col 49}F({res}   9{txt},{res}    186{txt}){col 67}= {res}     77.06
{txt}{col 49}Prob > F{col 67}= {res}    0.0000
{txt}{col 49}R-squared{col 67}= {res}    0.1110
{txt}{col 49}Adj R-squared{col 67}= {res}    0.1066
{txt}{col 49}Root MSE{col 67}= {res}    0.8984

{txt}{ralign 78:(Std. Err. adjusted for {res:187} clusters in hc_id)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}e_healthou~z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2}-.0025068{col 26}{space 2} .0273728{col 37}{space 1}   -0.09{col 46}{space 3}0.927{col 54}{space 4}-.0565079{col 67}{space 3} .0514943
{txt}b_healthou~z {c |}{col 14}{res}{space 2} .1301056{col 26}{space 2} .0158563{col 37}{space 1}    8.21{col 46}{space 3}0.000{col 54}{space 4} .0988243{col 67}{space 3}  .161387
{txt}b_healthou~d {c |}{col 14}{res}{space 2} .6767453{col 26}{space 2} .0268257{col 37}{space 1}   25.23{col 46}{space 3}0.000{col 54}{space 4} .6238235{col 67}{space 3}  .729667
{txt}{space 1}c_tfull_hc2 {c |}{col 14}{res}{space 2}-.0150939{col 26}{space 2} .0391048{col 37}{space 1}   -0.39{col 46}{space 3}0.700{col 54}{space 4}-.0922398{col 67}{space 3}  .062052
{txt}c_tfull_b_~l {c |}{col 14}{res}{space 2}-.0461058{col 26}{space 2} .0434625{col 37}{space 1}   -1.06{col 46}{space 3}0.290{col 54}{space 4}-.1318486{col 67}{space 3} .0396371
{txt}c_tfull_b_~s {c |}{col 14}{res}{space 2}-.0395781{col 26}{space 2} .0495328{col 37}{space 1}   -0.80{col 46}{space 3}0.425{col 54}{space 4}-.1372963{col 67}{space 3} .0581402
{txt}c_tfull_b_~d {c |}{col 14}{res}{space 2} .0312915{col 26}{space 2} .0564047{col 37}{space 1}    0.55{col 46}{space 3}0.580{col 54}{space 4}-.0799837{col 67}{space 3} .1425667
{txt}c_tfull_ed~r {c |}{col 14}{res}{space 2} .0095071{col 26}{space 2} .0036039{col 37}{space 1}    2.64{col 46}{space 3}0.009{col 54}{space 4} .0023975{col 67}{space 3} .0166168
{txt}c_tfull_b_~x {c |}{col 14}{res}{space 2} .0444258{col 26}{space 2} .0162695{col 37}{space 1}    2.73{col 46}{space 3}0.007{col 54}{space 4} .0123293{col 67}{space 3} .0765224
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} -.511236{col 26}{space 2} .0224249{col 37}{space 1}  -22.80{col 46}{space 3}0.000{col 54}{space 4}-.5554759{col 67}{space 3}-.4669962
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull = .022{p_end}

{txt}       F(  1,   186) ={res}    0.80
{txt}{col 13}Prob > F ={res}    0.3718

{p 0 7}{space 1}{text:( 1)}{space 1} treatfull = -.022{p_end}

{txt}       F(  1,   186) ={res}    0.51
{txt}{col 13}Prob > F ={res}    0.4773

{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}     4,930
{txt}{col 49}F({res}   9{txt},{res}    186{txt}){col 67}= {res}     77.06
{txt}{col 49}Prob > F{col 67}= {res}    0.0000
{txt}{col 49}R-squared{col 67}= {res}    0.1110
{txt}{col 49}Adj R-squared{col 67}= {res}    0.1066
{txt}{col 49}Root MSE{col 67}= {res}    0.8984

{txt}{ralign 78:(Std. Err. adjusted for {res:187} clusters in hc_id)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}e_healthou~z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2}-.0025068{col 26}{space 2} .0273728{col 37}{space 1}   -0.09{col 46}{space 3}0.927{col 54}{space 4}-.0565079{col 67}{space 3} .0514943
{txt}b_healthou~z {c |}{col 14}{res}{space 2} .1301056{col 26}{space 2} .0158563{col 37}{space 1}    8.21{col 46}{space 3}0.000{col 54}{space 4} .0988243{col 67}{space 3}  .161387
{txt}b_healthou~d {c |}{col 14}{res}{space 2} .6767453{col 26}{space 2} .0268257{col 37}{space 1}   25.23{col 46}{space 3}0.000{col 54}{space 4} .6238235{col 67}{space 3}  .729667
{txt}{space 1}c_tfull_hc2 {c |}{col 14}{res}{space 2}-.0150939{col 26}{space 2} .0391048{col 37}{space 1}   -0.39{col 46}{space 3}0.700{col 54}{space 4}-.0922398{col 67}{space 3}  .062052
{txt}c_tfull_b_~l {c |}{col 14}{res}{space 2}-.0461058{col 26}{space 2} .0434625{col 37}{space 1}   -1.06{col 46}{space 3}0.290{col 54}{space 4}-.1318486{col 67}{space 3} .0396371
{txt}c_tfull_b_~s {c |}{col 14}{res}{space 2}-.0395781{col 26}{space 2} .0495328{col 37}{space 1}   -0.80{col 46}{space 3}0.425{col 54}{space 4}-.1372963{col 67}{space 3} .0581402
{txt}c_tfull_b_~d {c |}{col 14}{res}{space 2} .0312915{col 26}{space 2} .0564047{col 37}{space 1}    0.55{col 46}{space 3}0.580{col 54}{space 4}-.0799837{col 67}{space 3} .1425667
{txt}c_tfull_ed~r {c |}{col 14}{res}{space 2} .0095071{col 26}{space 2} .0036039{col 37}{space 1}    2.64{col 46}{space 3}0.009{col 54}{space 4} .0023975{col 67}{space 3} .0166168
{txt}c_tfull_b_~x {c |}{col 14}{res}{space 2} .0444258{col 26}{space 2} .0162695{col 37}{space 1}    2.73{col 46}{space 3}0.007{col 54}{space 4} .0123293{col 67}{space 3} .0765224
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} -.511236{col 26}{space 2} .0224249{col 37}{space 1}  -22.80{col 46}{space 3}0.000{col 54}{space 4}-.5554759{col 67}{space 3}-.4669962
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull = .023{p_end}

{txt}       F(  1,   186) ={res}    0.87
{txt}{col 13}Prob > F ={res}    0.3526

{p 0 7}{space 1}{text:( 1)}{space 1} treatfull = -.023{p_end}

{txt}       F(  1,   186) ={res}    0.56
{txt}{col 13}Prob > F ={res}    0.4550

{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}     4,930
{txt}{col 49}F({res}   9{txt},{res}    186{txt}){col 67}= {res}     77.06
{txt}{col 49}Prob > F{col 67}= {res}    0.0000
{txt}{col 49}R-squared{col 67}= {res}    0.1110
{txt}{col 49}Adj R-squared{col 67}= {res}    0.1066
{txt}{col 49}Root MSE{col 67}= {res}    0.8984

{txt}{ralign 78:(Std. Err. adjusted for {res:187} clusters in hc_id)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}e_healthou~z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2}-.0025068{col 26}{space 2} .0273728{col 37}{space 1}   -0.09{col 46}{space 3}0.927{col 54}{space 4}-.0565079{col 67}{space 3} .0514943
{txt}b_healthou~z {c |}{col 14}{res}{space 2} .1301056{col 26}{space 2} .0158563{col 37}{space 1}    8.21{col 46}{space 3}0.000{col 54}{space 4} .0988243{col 67}{space 3}  .161387
{txt}b_healthou~d {c |}{col 14}{res}{space 2} .6767453{col 26}{space 2} .0268257{col 37}{space 1}   25.23{col 46}{space 3}0.000{col 54}{space 4} .6238235{col 67}{space 3}  .729667
{txt}{space 1}c_tfull_hc2 {c |}{col 14}{res}{space 2}-.0150939{col 26}{space 2} .0391048{col 37}{space 1}   -0.39{col 46}{space 3}0.700{col 54}{space 4}-.0922398{col 67}{space 3}  .062052
{txt}c_tfull_b_~l {c |}{col 14}{res}{space 2}-.0461058{col 26}{space 2} .0434625{col 37}{space 1}   -1.06{col 46}{space 3}0.290{col 54}{space 4}-.1318486{col 67}{space 3} .0396371
{txt}c_tfull_b_~s {c |}{col 14}{res}{space 2}-.0395781{col 26}{space 2} .0495328{col 37}{space 1}   -0.80{col 46}{space 3}0.425{col 54}{space 4}-.1372963{col 67}{space 3} .0581402
{txt}c_tfull_b_~d {c |}{col 14}{res}{space 2} .0312915{col 26}{space 2} .0564047{col 37}{space 1}    0.55{col 46}{space 3}0.580{col 54}{space 4}-.0799837{col 67}{space 3} .1425667
{txt}c_tfull_ed~r {c |}{col 14}{res}{space 2} .0095071{col 26}{space 2} .0036039{col 37}{space 1}    2.64{col 46}{space 3}0.009{col 54}{space 4} .0023975{col 67}{space 3} .0166168
{txt}c_tfull_b_~x {c |}{col 14}{res}{space 2} .0444258{col 26}{space 2} .0162695{col 37}{space 1}    2.73{col 46}{space 3}0.007{col 54}{space 4} .0123293{col 67}{space 3} .0765224
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} -.511236{col 26}{space 2} .0224249{col 37}{space 1}  -22.80{col 46}{space 3}0.000{col 54}{space 4}-.5554759{col 67}{space 3}-.4669962
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull = .024{p_end}

{txt}       F(  1,   186) ={res}    0.94
{txt}{col 13}Prob > F ={res}    0.3341

{p 0 7}{space 1}{text:( 1)}{space 1} treatfull = -.024{p_end}

{txt}       F(  1,   186) ={res}    0.62
{txt}{col 13}Prob > F ={res}    0.4333

{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}     4,930
{txt}{col 49}F({res}   9{txt},{res}    186{txt}){col 67}= {res}     77.06
{txt}{col 49}Prob > F{col 67}= {res}    0.0000
{txt}{col 49}R-squared{col 67}= {res}    0.1110
{txt}{col 49}Adj R-squared{col 67}= {res}    0.1066
{txt}{col 49}Root MSE{col 67}= {res}    0.8984

{txt}{ralign 78:(Std. Err. adjusted for {res:187} clusters in hc_id)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}e_healthou~z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2}-.0025068{col 26}{space 2} .0273728{col 37}{space 1}   -0.09{col 46}{space 3}0.927{col 54}{space 4}-.0565079{col 67}{space 3} .0514943
{txt}b_healthou~z {c |}{col 14}{res}{space 2} .1301056{col 26}{space 2} .0158563{col 37}{space 1}    8.21{col 46}{space 3}0.000{col 54}{space 4} .0988243{col 67}{space 3}  .161387
{txt}b_healthou~d {c |}{col 14}{res}{space 2} .6767453{col 26}{space 2} .0268257{col 37}{space 1}   25.23{col 46}{space 3}0.000{col 54}{space 4} .6238235{col 67}{space 3}  .729667
{txt}{space 1}c_tfull_hc2 {c |}{col 14}{res}{space 2}-.0150939{col 26}{space 2} .0391048{col 37}{space 1}   -0.39{col 46}{space 3}0.700{col 54}{space 4}-.0922398{col 67}{space 3}  .062052
{txt}c_tfull_b_~l {c |}{col 14}{res}{space 2}-.0461058{col 26}{space 2} .0434625{col 37}{space 1}   -1.06{col 46}{space 3}0.290{col 54}{space 4}-.1318486{col 67}{space 3} .0396371
{txt}c_tfull_b_~s {c |}{col 14}{res}{space 2}-.0395781{col 26}{space 2} .0495328{col 37}{space 1}   -0.80{col 46}{space 3}0.425{col 54}{space 4}-.1372963{col 67}{space 3} .0581402
{txt}c_tfull_b_~d {c |}{col 14}{res}{space 2} .0312915{col 26}{space 2} .0564047{col 37}{space 1}    0.55{col 46}{space 3}0.580{col 54}{space 4}-.0799837{col 67}{space 3} .1425667
{txt}c_tfull_ed~r {c |}{col 14}{res}{space 2} .0095071{col 26}{space 2} .0036039{col 37}{space 1}    2.64{col 46}{space 3}0.009{col 54}{space 4} .0023975{col 67}{space 3} .0166168
{txt}c_tfull_b_~x {c |}{col 14}{res}{space 2} .0444258{col 26}{space 2} .0162695{col 37}{space 1}    2.73{col 46}{space 3}0.007{col 54}{space 4} .0123293{col 67}{space 3} .0765224
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} -.511236{col 26}{space 2} .0224249{col 37}{space 1}  -22.80{col 46}{space 3}0.000{col 54}{space 4}-.5554759{col 67}{space 3}-.4669962
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull = .025{p_end}

{txt}       F(  1,   186) ={res}    1.01
{txt}{col 13}Prob > F ={res}    0.3163

{p 0 7}{space 1}{text:( 1)}{space 1} treatfull = -.025{p_end}

{txt}       F(  1,   186) ={res}    0.68
{txt}{col 13}Prob > F ={res}    0.4123

{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}     4,930
{txt}{col 49}F({res}   9{txt},{res}    186{txt}){col 67}= {res}     77.06
{txt}{col 49}Prob > F{col 67}= {res}    0.0000
{txt}{col 49}R-squared{col 67}= {res}    0.1110
{txt}{col 49}Adj R-squared{col 67}= {res}    0.1066
{txt}{col 49}Root MSE{col 67}= {res}    0.8984

{txt}{ralign 78:(Std. Err. adjusted for {res:187} clusters in hc_id)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}e_healthou~z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2}-.0025068{col 26}{space 2} .0273728{col 37}{space 1}   -0.09{col 46}{space 3}0.927{col 54}{space 4}-.0565079{col 67}{space 3} .0514943
{txt}b_healthou~z {c |}{col 14}{res}{space 2} .1301056{col 26}{space 2} .0158563{col 37}{space 1}    8.21{col 46}{space 3}0.000{col 54}{space 4} .0988243{col 67}{space 3}  .161387
{txt}b_healthou~d {c |}{col 14}{res}{space 2} .6767453{col 26}{space 2} .0268257{col 37}{space 1}   25.23{col 46}{space 3}0.000{col 54}{space 4} .6238235{col 67}{space 3}  .729667
{txt}{space 1}c_tfull_hc2 {c |}{col 14}{res}{space 2}-.0150939{col 26}{space 2} .0391048{col 37}{space 1}   -0.39{col 46}{space 3}0.700{col 54}{space 4}-.0922398{col 67}{space 3}  .062052
{txt}c_tfull_b_~l {c |}{col 14}{res}{space 2}-.0461058{col 26}{space 2} .0434625{col 37}{space 1}   -1.06{col 46}{space 3}0.290{col 54}{space 4}-.1318486{col 67}{space 3} .0396371
{txt}c_tfull_b_~s {c |}{col 14}{res}{space 2}-.0395781{col 26}{space 2} .0495328{col 37}{space 1}   -0.80{col 46}{space 3}0.425{col 54}{space 4}-.1372963{col 67}{space 3} .0581402
{txt}c_tfull_b_~d {c |}{col 14}{res}{space 2} .0312915{col 26}{space 2} .0564047{col 37}{space 1}    0.55{col 46}{space 3}0.580{col 54}{space 4}-.0799837{col 67}{space 3} .1425667
{txt}c_tfull_ed~r {c |}{col 14}{res}{space 2} .0095071{col 26}{space 2} .0036039{col 37}{space 1}    2.64{col 46}{space 3}0.009{col 54}{space 4} .0023975{col 67}{space 3} .0166168
{txt}c_tfull_b_~x {c |}{col 14}{res}{space 2} .0444258{col 26}{space 2} .0162695{col 37}{space 1}    2.73{col 46}{space 3}0.007{col 54}{space 4} .0123293{col 67}{space 3} .0765224
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} -.511236{col 26}{space 2} .0224249{col 37}{space 1}  -22.80{col 46}{space 3}0.000{col 54}{space 4}-.5554759{col 67}{space 3}-.4669962
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull = .026{p_end}

{txt}       F(  1,   186) ={res}    1.08
{txt}{col 13}Prob > F ={res}    0.2990

{p 0 7}{space 1}{text:( 1)}{space 1} treatfull = -.026{p_end}

{txt}       F(  1,   186) ={res}    0.74
{txt}{col 13}Prob > F ={res}    0.3919

{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}     4,930
{txt}{col 49}F({res}   9{txt},{res}    186{txt}){col 67}= {res}     77.06
{txt}{col 49}Prob > F{col 67}= {res}    0.0000
{txt}{col 49}R-squared{col 67}= {res}    0.1110
{txt}{col 49}Adj R-squared{col 67}= {res}    0.1066
{txt}{col 49}Root MSE{col 67}= {res}    0.8984

{txt}{ralign 78:(Std. Err. adjusted for {res:187} clusters in hc_id)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}e_healthou~z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2}-.0025068{col 26}{space 2} .0273728{col 37}{space 1}   -0.09{col 46}{space 3}0.927{col 54}{space 4}-.0565079{col 67}{space 3} .0514943
{txt}b_healthou~z {c |}{col 14}{res}{space 2} .1301056{col 26}{space 2} .0158563{col 37}{space 1}    8.21{col 46}{space 3}0.000{col 54}{space 4} .0988243{col 67}{space 3}  .161387
{txt}b_healthou~d {c |}{col 14}{res}{space 2} .6767453{col 26}{space 2} .0268257{col 37}{space 1}   25.23{col 46}{space 3}0.000{col 54}{space 4} .6238235{col 67}{space 3}  .729667
{txt}{space 1}c_tfull_hc2 {c |}{col 14}{res}{space 2}-.0150939{col 26}{space 2} .0391048{col 37}{space 1}   -0.39{col 46}{space 3}0.700{col 54}{space 4}-.0922398{col 67}{space 3}  .062052
{txt}c_tfull_b_~l {c |}{col 14}{res}{space 2}-.0461058{col 26}{space 2} .0434625{col 37}{space 1}   -1.06{col 46}{space 3}0.290{col 54}{space 4}-.1318486{col 67}{space 3} .0396371
{txt}c_tfull_b_~s {c |}{col 14}{res}{space 2}-.0395781{col 26}{space 2} .0495328{col 37}{space 1}   -0.80{col 46}{space 3}0.425{col 54}{space 4}-.1372963{col 67}{space 3} .0581402
{txt}c_tfull_b_~d {c |}{col 14}{res}{space 2} .0312915{col 26}{space 2} .0564047{col 37}{space 1}    0.55{col 46}{space 3}0.580{col 54}{space 4}-.0799837{col 67}{space 3} .1425667
{txt}c_tfull_ed~r {c |}{col 14}{res}{space 2} .0095071{col 26}{space 2} .0036039{col 37}{space 1}    2.64{col 46}{space 3}0.009{col 54}{space 4} .0023975{col 67}{space 3} .0166168
{txt}c_tfull_b_~x {c |}{col 14}{res}{space 2} .0444258{col 26}{space 2} .0162695{col 37}{space 1}    2.73{col 46}{space 3}0.007{col 54}{space 4} .0123293{col 67}{space 3} .0765224
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} -.511236{col 26}{space 2} .0224249{col 37}{space 1}  -22.80{col 46}{space 3}0.000{col 54}{space 4}-.5554759{col 67}{space 3}-.4669962
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull = .027{p_end}

{txt}       F(  1,   186) ={res}    1.16
{txt}{col 13}Prob > F ={res}    0.2824

{p 0 7}{space 1}{text:( 1)}{space 1} treatfull = -.027{p_end}

{txt}       F(  1,   186) ={res}    0.80
{txt}{col 13}Prob > F ={res}    0.3721

{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}     4,930
{txt}{col 49}F({res}   9{txt},{res}    186{txt}){col 67}= {res}     77.06
{txt}{col 49}Prob > F{col 67}= {res}    0.0000
{txt}{col 49}R-squared{col 67}= {res}    0.1110
{txt}{col 49}Adj R-squared{col 67}= {res}    0.1066
{txt}{col 49}Root MSE{col 67}= {res}    0.8984

{txt}{ralign 78:(Std. Err. adjusted for {res:187} clusters in hc_id)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}e_healthou~z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2}-.0025068{col 26}{space 2} .0273728{col 37}{space 1}   -0.09{col 46}{space 3}0.927{col 54}{space 4}-.0565079{col 67}{space 3} .0514943
{txt}b_healthou~z {c |}{col 14}{res}{space 2} .1301056{col 26}{space 2} .0158563{col 37}{space 1}    8.21{col 46}{space 3}0.000{col 54}{space 4} .0988243{col 67}{space 3}  .161387
{txt}b_healthou~d {c |}{col 14}{res}{space 2} .6767453{col 26}{space 2} .0268257{col 37}{space 1}   25.23{col 46}{space 3}0.000{col 54}{space 4} .6238235{col 67}{space 3}  .729667
{txt}{space 1}c_tfull_hc2 {c |}{col 14}{res}{space 2}-.0150939{col 26}{space 2} .0391048{col 37}{space 1}   -0.39{col 46}{space 3}0.700{col 54}{space 4}-.0922398{col 67}{space 3}  .062052
{txt}c_tfull_b_~l {c |}{col 14}{res}{space 2}-.0461058{col 26}{space 2} .0434625{col 37}{space 1}   -1.06{col 46}{space 3}0.290{col 54}{space 4}-.1318486{col 67}{space 3} .0396371
{txt}c_tfull_b_~s {c |}{col 14}{res}{space 2}-.0395781{col 26}{space 2} .0495328{col 37}{space 1}   -0.80{col 46}{space 3}0.425{col 54}{space 4}-.1372963{col 67}{space 3} .0581402
{txt}c_tfull_b_~d {c |}{col 14}{res}{space 2} .0312915{col 26}{space 2} .0564047{col 37}{space 1}    0.55{col 46}{space 3}0.580{col 54}{space 4}-.0799837{col 67}{space 3} .1425667
{txt}c_tfull_ed~r {c |}{col 14}{res}{space 2} .0095071{col 26}{space 2} .0036039{col 37}{space 1}    2.64{col 46}{space 3}0.009{col 54}{space 4} .0023975{col 67}{space 3} .0166168
{txt}c_tfull_b_~x {c |}{col 14}{res}{space 2} .0444258{col 26}{space 2} .0162695{col 37}{space 1}    2.73{col 46}{space 3}0.007{col 54}{space 4} .0123293{col 67}{space 3} .0765224
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} -.511236{col 26}{space 2} .0224249{col 37}{space 1}  -22.80{col 46}{space 3}0.000{col 54}{space 4}-.5554759{col 67}{space 3}-.4669962
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull = .028{p_end}

{txt}       F(  1,   186) ={res}    1.24
{txt}{col 13}Prob > F ={res}    0.2665

{p 0 7}{space 1}{text:( 1)}{space 1} treatfull = -.028{p_end}

{txt}       F(  1,   186) ={res}    0.87
{txt}{col 13}Prob > F ={res}    0.3529

{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}     4,930
{txt}{col 49}F({res}   9{txt},{res}    186{txt}){col 67}= {res}     77.06
{txt}{col 49}Prob > F{col 67}= {res}    0.0000
{txt}{col 49}R-squared{col 67}= {res}    0.1110
{txt}{col 49}Adj R-squared{col 67}= {res}    0.1066
{txt}{col 49}Root MSE{col 67}= {res}    0.8984

{txt}{ralign 78:(Std. Err. adjusted for {res:187} clusters in hc_id)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}e_healthou~z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2}-.0025068{col 26}{space 2} .0273728{col 37}{space 1}   -0.09{col 46}{space 3}0.927{col 54}{space 4}-.0565079{col 67}{space 3} .0514943
{txt}b_healthou~z {c |}{col 14}{res}{space 2} .1301056{col 26}{space 2} .0158563{col 37}{space 1}    8.21{col 46}{space 3}0.000{col 54}{space 4} .0988243{col 67}{space 3}  .161387
{txt}b_healthou~d {c |}{col 14}{res}{space 2} .6767453{col 26}{space 2} .0268257{col 37}{space 1}   25.23{col 46}{space 3}0.000{col 54}{space 4} .6238235{col 67}{space 3}  .729667
{txt}{space 1}c_tfull_hc2 {c |}{col 14}{res}{space 2}-.0150939{col 26}{space 2} .0391048{col 37}{space 1}   -0.39{col 46}{space 3}0.700{col 54}{space 4}-.0922398{col 67}{space 3}  .062052
{txt}c_tfull_b_~l {c |}{col 14}{res}{space 2}-.0461058{col 26}{space 2} .0434625{col 37}{space 1}   -1.06{col 46}{space 3}0.290{col 54}{space 4}-.1318486{col 67}{space 3} .0396371
{txt}c_tfull_b_~s {c |}{col 14}{res}{space 2}-.0395781{col 26}{space 2} .0495328{col 37}{space 1}   -0.80{col 46}{space 3}0.425{col 54}{space 4}-.1372963{col 67}{space 3} .0581402
{txt}c_tfull_b_~d {c |}{col 14}{res}{space 2} .0312915{col 26}{space 2} .0564047{col 37}{space 1}    0.55{col 46}{space 3}0.580{col 54}{space 4}-.0799837{col 67}{space 3} .1425667
{txt}c_tfull_ed~r {c |}{col 14}{res}{space 2} .0095071{col 26}{space 2} .0036039{col 37}{space 1}    2.64{col 46}{space 3}0.009{col 54}{space 4} .0023975{col 67}{space 3} .0166168
{txt}c_tfull_b_~x {c |}{col 14}{res}{space 2} .0444258{col 26}{space 2} .0162695{col 37}{space 1}    2.73{col 46}{space 3}0.007{col 54}{space 4} .0123293{col 67}{space 3} .0765224
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} -.511236{col 26}{space 2} .0224249{col 37}{space 1}  -22.80{col 46}{space 3}0.000{col 54}{space 4}-.5554759{col 67}{space 3}-.4669962
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull = .029{p_end}

{txt}       F(  1,   186) ={res}    1.32
{txt}{col 13}Prob > F ={res}    0.2512

{p 0 7}{space 1}{text:( 1)}{space 1} treatfull = -.029{p_end}

{txt}       F(  1,   186) ={res}    0.94
{txt}{col 13}Prob > F ={res}    0.3344

{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}     4,930
{txt}{col 49}F({res}   9{txt},{res}    186{txt}){col 67}= {res}     77.06
{txt}{col 49}Prob > F{col 67}= {res}    0.0000
{txt}{col 49}R-squared{col 67}= {res}    0.1110
{txt}{col 49}Adj R-squared{col 67}= {res}    0.1066
{txt}{col 49}Root MSE{col 67}= {res}    0.8984

{txt}{ralign 78:(Std. Err. adjusted for {res:187} clusters in hc_id)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}e_healthou~z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2}-.0025068{col 26}{space 2} .0273728{col 37}{space 1}   -0.09{col 46}{space 3}0.927{col 54}{space 4}-.0565079{col 67}{space 3} .0514943
{txt}b_healthou~z {c |}{col 14}{res}{space 2} .1301056{col 26}{space 2} .0158563{col 37}{space 1}    8.21{col 46}{space 3}0.000{col 54}{space 4} .0988243{col 67}{space 3}  .161387
{txt}b_healthou~d {c |}{col 14}{res}{space 2} .6767453{col 26}{space 2} .0268257{col 37}{space 1}   25.23{col 46}{space 3}0.000{col 54}{space 4} .6238235{col 67}{space 3}  .729667
{txt}{space 1}c_tfull_hc2 {c |}{col 14}{res}{space 2}-.0150939{col 26}{space 2} .0391048{col 37}{space 1}   -0.39{col 46}{space 3}0.700{col 54}{space 4}-.0922398{col 67}{space 3}  .062052
{txt}c_tfull_b_~l {c |}{col 14}{res}{space 2}-.0461058{col 26}{space 2} .0434625{col 37}{space 1}   -1.06{col 46}{space 3}0.290{col 54}{space 4}-.1318486{col 67}{space 3} .0396371
{txt}c_tfull_b_~s {c |}{col 14}{res}{space 2}-.0395781{col 26}{space 2} .0495328{col 37}{space 1}   -0.80{col 46}{space 3}0.425{col 54}{space 4}-.1372963{col 67}{space 3} .0581402
{txt}c_tfull_b_~d {c |}{col 14}{res}{space 2} .0312915{col 26}{space 2} .0564047{col 37}{space 1}    0.55{col 46}{space 3}0.580{col 54}{space 4}-.0799837{col 67}{space 3} .1425667
{txt}c_tfull_ed~r {c |}{col 14}{res}{space 2} .0095071{col 26}{space 2} .0036039{col 37}{space 1}    2.64{col 46}{space 3}0.009{col 54}{space 4} .0023975{col 67}{space 3} .0166168
{txt}c_tfull_b_~x {c |}{col 14}{res}{space 2} .0444258{col 26}{space 2} .0162695{col 37}{space 1}    2.73{col 46}{space 3}0.007{col 54}{space 4} .0123293{col 67}{space 3} .0765224
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} -.511236{col 26}{space 2} .0224249{col 37}{space 1}  -22.80{col 46}{space 3}0.000{col 54}{space 4}-.5554759{col 67}{space 3}-.4669962
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull = .03{p_end}

{txt}       F(  1,   186) ={res}    1.41
{txt}{col 13}Prob > F ={res}    0.2365

{p 0 7}{space 1}{text:( 1)}{space 1} treatfull = -.03{p_end}

{txt}       F(  1,   186) ={res}    1.01
{txt}{col 13}Prob > F ={res}    0.3165

{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}     4,930
{txt}{col 49}F({res}   9{txt},{res}    186{txt}){col 67}= {res}     77.06
{txt}{col 49}Prob > F{col 67}= {res}    0.0000
{txt}{col 49}R-squared{col 67}= {res}    0.1110
{txt}{col 49}Adj R-squared{col 67}= {res}    0.1066
{txt}{col 49}Root MSE{col 67}= {res}    0.8984

{txt}{ralign 78:(Std. Err. adjusted for {res:187} clusters in hc_id)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}e_healthou~z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2}-.0025068{col 26}{space 2} .0273728{col 37}{space 1}   -0.09{col 46}{space 3}0.927{col 54}{space 4}-.0565079{col 67}{space 3} .0514943
{txt}b_healthou~z {c |}{col 14}{res}{space 2} .1301056{col 26}{space 2} .0158563{col 37}{space 1}    8.21{col 46}{space 3}0.000{col 54}{space 4} .0988243{col 67}{space 3}  .161387
{txt}b_healthou~d {c |}{col 14}{res}{space 2} .6767453{col 26}{space 2} .0268257{col 37}{space 1}   25.23{col 46}{space 3}0.000{col 54}{space 4} .6238235{col 67}{space 3}  .729667
{txt}{space 1}c_tfull_hc2 {c |}{col 14}{res}{space 2}-.0150939{col 26}{space 2} .0391048{col 37}{space 1}   -0.39{col 46}{space 3}0.700{col 54}{space 4}-.0922398{col 67}{space 3}  .062052
{txt}c_tfull_b_~l {c |}{col 14}{res}{space 2}-.0461058{col 26}{space 2} .0434625{col 37}{space 1}   -1.06{col 46}{space 3}0.290{col 54}{space 4}-.1318486{col 67}{space 3} .0396371
{txt}c_tfull_b_~s {c |}{col 14}{res}{space 2}-.0395781{col 26}{space 2} .0495328{col 37}{space 1}   -0.80{col 46}{space 3}0.425{col 54}{space 4}-.1372963{col 67}{space 3} .0581402
{txt}c_tfull_b_~d {c |}{col 14}{res}{space 2} .0312915{col 26}{space 2} .0564047{col 37}{space 1}    0.55{col 46}{space 3}0.580{col 54}{space 4}-.0799837{col 67}{space 3} .1425667
{txt}c_tfull_ed~r {c |}{col 14}{res}{space 2} .0095071{col 26}{space 2} .0036039{col 37}{space 1}    2.64{col 46}{space 3}0.009{col 54}{space 4} .0023975{col 67}{space 3} .0166168
{txt}c_tfull_b_~x {c |}{col 14}{res}{space 2} .0444258{col 26}{space 2} .0162695{col 37}{space 1}    2.73{col 46}{space 3}0.007{col 54}{space 4} .0123293{col 67}{space 3} .0765224
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} -.511236{col 26}{space 2} .0224249{col 37}{space 1}  -22.80{col 46}{space 3}0.000{col 54}{space 4}-.5554759{col 67}{space 3}-.4669962
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull = .031{p_end}

{txt}       F(  1,   186) ={res}    1.50
{txt}{col 13}Prob > F ={res}    0.2225

{p 0 7}{space 1}{text:( 1)}{space 1} treatfull = -.031{p_end}

{txt}       F(  1,   186) ={res}    1.08
{txt}{col 13}Prob > F ={res}    0.2993

{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}     4,930
{txt}{col 49}F({res}   9{txt},{res}    186{txt}){col 67}= {res}     77.06
{txt}{col 49}Prob > F{col 67}= {res}    0.0000
{txt}{col 49}R-squared{col 67}= {res}    0.1110
{txt}{col 49}Adj R-squared{col 67}= {res}    0.1066
{txt}{col 49}Root MSE{col 67}= {res}    0.8984

{txt}{ralign 78:(Std. Err. adjusted for {res:187} clusters in hc_id)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}e_healthou~z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2}-.0025068{col 26}{space 2} .0273728{col 37}{space 1}   -0.09{col 46}{space 3}0.927{col 54}{space 4}-.0565079{col 67}{space 3} .0514943
{txt}b_healthou~z {c |}{col 14}{res}{space 2} .1301056{col 26}{space 2} .0158563{col 37}{space 1}    8.21{col 46}{space 3}0.000{col 54}{space 4} .0988243{col 67}{space 3}  .161387
{txt}b_healthou~d {c |}{col 14}{res}{space 2} .6767453{col 26}{space 2} .0268257{col 37}{space 1}   25.23{col 46}{space 3}0.000{col 54}{space 4} .6238235{col 67}{space 3}  .729667
{txt}{space 1}c_tfull_hc2 {c |}{col 14}{res}{space 2}-.0150939{col 26}{space 2} .0391048{col 37}{space 1}   -0.39{col 46}{space 3}0.700{col 54}{space 4}-.0922398{col 67}{space 3}  .062052
{txt}c_tfull_b_~l {c |}{col 14}{res}{space 2}-.0461058{col 26}{space 2} .0434625{col 37}{space 1}   -1.06{col 46}{space 3}0.290{col 54}{space 4}-.1318486{col 67}{space 3} .0396371
{txt}c_tfull_b_~s {c |}{col 14}{res}{space 2}-.0395781{col 26}{space 2} .0495328{col 37}{space 1}   -0.80{col 46}{space 3}0.425{col 54}{space 4}-.1372963{col 67}{space 3} .0581402
{txt}c_tfull_b_~d {c |}{col 14}{res}{space 2} .0312915{col 26}{space 2} .0564047{col 37}{space 1}    0.55{col 46}{space 3}0.580{col 54}{space 4}-.0799837{col 67}{space 3} .1425667
{txt}c_tfull_ed~r {c |}{col 14}{res}{space 2} .0095071{col 26}{space 2} .0036039{col 37}{space 1}    2.64{col 46}{space 3}0.009{col 54}{space 4} .0023975{col 67}{space 3} .0166168
{txt}c_tfull_b_~x {c |}{col 14}{res}{space 2} .0444258{col 26}{space 2} .0162695{col 37}{space 1}    2.73{col 46}{space 3}0.007{col 54}{space 4} .0123293{col 67}{space 3} .0765224
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} -.511236{col 26}{space 2} .0224249{col 37}{space 1}  -22.80{col 46}{space 3}0.000{col 54}{space 4}-.5554759{col 67}{space 3}-.4669962
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull = .032{p_end}

{txt}       F(  1,   186) ={res}    1.59
{txt}{col 13}Prob > F ={res}    0.2090

{p 0 7}{space 1}{text:( 1)}{space 1} treatfull = -.032{p_end}

{txt}       F(  1,   186) ={res}    1.16
{txt}{col 13}Prob > F ={res}    0.2827

{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}     4,930
{txt}{col 49}F({res}   9{txt},{res}    186{txt}){col 67}= {res}     77.06
{txt}{col 49}Prob > F{col 67}= {res}    0.0000
{txt}{col 49}R-squared{col 67}= {res}    0.1110
{txt}{col 49}Adj R-squared{col 67}= {res}    0.1066
{txt}{col 49}Root MSE{col 67}= {res}    0.8984

{txt}{ralign 78:(Std. Err. adjusted for {res:187} clusters in hc_id)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}e_healthou~z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2}-.0025068{col 26}{space 2} .0273728{col 37}{space 1}   -0.09{col 46}{space 3}0.927{col 54}{space 4}-.0565079{col 67}{space 3} .0514943
{txt}b_healthou~z {c |}{col 14}{res}{space 2} .1301056{col 26}{space 2} .0158563{col 37}{space 1}    8.21{col 46}{space 3}0.000{col 54}{space 4} .0988243{col 67}{space 3}  .161387
{txt}b_healthou~d {c |}{col 14}{res}{space 2} .6767453{col 26}{space 2} .0268257{col 37}{space 1}   25.23{col 46}{space 3}0.000{col 54}{space 4} .6238235{col 67}{space 3}  .729667
{txt}{space 1}c_tfull_hc2 {c |}{col 14}{res}{space 2}-.0150939{col 26}{space 2} .0391048{col 37}{space 1}   -0.39{col 46}{space 3}0.700{col 54}{space 4}-.0922398{col 67}{space 3}  .062052
{txt}c_tfull_b_~l {c |}{col 14}{res}{space 2}-.0461058{col 26}{space 2} .0434625{col 37}{space 1}   -1.06{col 46}{space 3}0.290{col 54}{space 4}-.1318486{col 67}{space 3} .0396371
{txt}c_tfull_b_~s {c |}{col 14}{res}{space 2}-.0395781{col 26}{space 2} .0495328{col 37}{space 1}   -0.80{col 46}{space 3}0.425{col 54}{space 4}-.1372963{col 67}{space 3} .0581402
{txt}c_tfull_b_~d {c |}{col 14}{res}{space 2} .0312915{col 26}{space 2} .0564047{col 37}{space 1}    0.55{col 46}{space 3}0.580{col 54}{space 4}-.0799837{col 67}{space 3} .1425667
{txt}c_tfull_ed~r {c |}{col 14}{res}{space 2} .0095071{col 26}{space 2} .0036039{col 37}{space 1}    2.64{col 46}{space 3}0.009{col 54}{space 4} .0023975{col 67}{space 3} .0166168
{txt}c_tfull_b_~x {c |}{col 14}{res}{space 2} .0444258{col 26}{space 2} .0162695{col 37}{space 1}    2.73{col 46}{space 3}0.007{col 54}{space 4} .0123293{col 67}{space 3} .0765224
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} -.511236{col 26}{space 2} .0224249{col 37}{space 1}  -22.80{col 46}{space 3}0.000{col 54}{space 4}-.5554759{col 67}{space 3}-.4669962
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull = .033{p_end}

{txt}       F(  1,   186) ={res}    1.68
{txt}{col 13}Prob > F ={res}    0.1962

{p 0 7}{space 1}{text:( 1)}{space 1} treatfull = -.033{p_end}

{txt}       F(  1,   186) ={res}    1.24
{txt}{col 13}Prob > F ={res}    0.2667

{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}     4,930
{txt}{col 49}F({res}   9{txt},{res}    186{txt}){col 67}= {res}     77.06
{txt}{col 49}Prob > F{col 67}= {res}    0.0000
{txt}{col 49}R-squared{col 67}= {res}    0.1110
{txt}{col 49}Adj R-squared{col 67}= {res}    0.1066
{txt}{col 49}Root MSE{col 67}= {res}    0.8984

{txt}{ralign 78:(Std. Err. adjusted for {res:187} clusters in hc_id)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}e_healthou~z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2}-.0025068{col 26}{space 2} .0273728{col 37}{space 1}   -0.09{col 46}{space 3}0.927{col 54}{space 4}-.0565079{col 67}{space 3} .0514943
{txt}b_healthou~z {c |}{col 14}{res}{space 2} .1301056{col 26}{space 2} .0158563{col 37}{space 1}    8.21{col 46}{space 3}0.000{col 54}{space 4} .0988243{col 67}{space 3}  .161387
{txt}b_healthou~d {c |}{col 14}{res}{space 2} .6767453{col 26}{space 2} .0268257{col 37}{space 1}   25.23{col 46}{space 3}0.000{col 54}{space 4} .6238235{col 67}{space 3}  .729667
{txt}{space 1}c_tfull_hc2 {c |}{col 14}{res}{space 2}-.0150939{col 26}{space 2} .0391048{col 37}{space 1}   -0.39{col 46}{space 3}0.700{col 54}{space 4}-.0922398{col 67}{space 3}  .062052
{txt}c_tfull_b_~l {c |}{col 14}{res}{space 2}-.0461058{col 26}{space 2} .0434625{col 37}{space 1}   -1.06{col 46}{space 3}0.290{col 54}{space 4}-.1318486{col 67}{space 3} .0396371
{txt}c_tfull_b_~s {c |}{col 14}{res}{space 2}-.0395781{col 26}{space 2} .0495328{col 37}{space 1}   -0.80{col 46}{space 3}0.425{col 54}{space 4}-.1372963{col 67}{space 3} .0581402
{txt}c_tfull_b_~d {c |}{col 14}{res}{space 2} .0312915{col 26}{space 2} .0564047{col 37}{space 1}    0.55{col 46}{space 3}0.580{col 54}{space 4}-.0799837{col 67}{space 3} .1425667
{txt}c_tfull_ed~r {c |}{col 14}{res}{space 2} .0095071{col 26}{space 2} .0036039{col 37}{space 1}    2.64{col 46}{space 3}0.009{col 54}{space 4} .0023975{col 67}{space 3} .0166168
{txt}c_tfull_b_~x {c |}{col 14}{res}{space 2} .0444258{col 26}{space 2} .0162695{col 37}{space 1}    2.73{col 46}{space 3}0.007{col 54}{space 4} .0123293{col 67}{space 3} .0765224
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} -.511236{col 26}{space 2} .0224249{col 37}{space 1}  -22.80{col 46}{space 3}0.000{col 54}{space 4}-.5554759{col 67}{space 3}-.4669962
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull = .034{p_end}

{txt}       F(  1,   186) ={res}    1.78
{txt}{col 13}Prob > F ={res}    0.1839

{p 0 7}{space 1}{text:( 1)}{space 1} treatfull = -.034{p_end}

{txt}       F(  1,   186) ={res}    1.32
{txt}{col 13}Prob > F ={res}    0.2514

{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}     4,930
{txt}{col 49}F({res}   9{txt},{res}    186{txt}){col 67}= {res}     77.06
{txt}{col 49}Prob > F{col 67}= {res}    0.0000
{txt}{col 49}R-squared{col 67}= {res}    0.1110
{txt}{col 49}Adj R-squared{col 67}= {res}    0.1066
{txt}{col 49}Root MSE{col 67}= {res}    0.8984

{txt}{ralign 78:(Std. Err. adjusted for {res:187} clusters in hc_id)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}e_healthou~z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2}-.0025068{col 26}{space 2} .0273728{col 37}{space 1}   -0.09{col 46}{space 3}0.927{col 54}{space 4}-.0565079{col 67}{space 3} .0514943
{txt}b_healthou~z {c |}{col 14}{res}{space 2} .1301056{col 26}{space 2} .0158563{col 37}{space 1}    8.21{col 46}{space 3}0.000{col 54}{space 4} .0988243{col 67}{space 3}  .161387
{txt}b_healthou~d {c |}{col 14}{res}{space 2} .6767453{col 26}{space 2} .0268257{col 37}{space 1}   25.23{col 46}{space 3}0.000{col 54}{space 4} .6238235{col 67}{space 3}  .729667
{txt}{space 1}c_tfull_hc2 {c |}{col 14}{res}{space 2}-.0150939{col 26}{space 2} .0391048{col 37}{space 1}   -0.39{col 46}{space 3}0.700{col 54}{space 4}-.0922398{col 67}{space 3}  .062052
{txt}c_tfull_b_~l {c |}{col 14}{res}{space 2}-.0461058{col 26}{space 2} .0434625{col 37}{space 1}   -1.06{col 46}{space 3}0.290{col 54}{space 4}-.1318486{col 67}{space 3} .0396371
{txt}c_tfull_b_~s {c |}{col 14}{res}{space 2}-.0395781{col 26}{space 2} .0495328{col 37}{space 1}   -0.80{col 46}{space 3}0.425{col 54}{space 4}-.1372963{col 67}{space 3} .0581402
{txt}c_tfull_b_~d {c |}{col 14}{res}{space 2} .0312915{col 26}{space 2} .0564047{col 37}{space 1}    0.55{col 46}{space 3}0.580{col 54}{space 4}-.0799837{col 67}{space 3} .1425667
{txt}c_tfull_ed~r {c |}{col 14}{res}{space 2} .0095071{col 26}{space 2} .0036039{col 37}{space 1}    2.64{col 46}{space 3}0.009{col 54}{space 4} .0023975{col 67}{space 3} .0166168
{txt}c_tfull_b_~x {c |}{col 14}{res}{space 2} .0444258{col 26}{space 2} .0162695{col 37}{space 1}    2.73{col 46}{space 3}0.007{col 54}{space 4} .0123293{col 67}{space 3} .0765224
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} -.511236{col 26}{space 2} .0224249{col 37}{space 1}  -22.80{col 46}{space 3}0.000{col 54}{space 4}-.5554759{col 67}{space 3}-.4669962
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull = .035{p_end}

{txt}       F(  1,   186) ={res}    1.88
{txt}{col 13}Prob > F ={res}    0.1723

{p 0 7}{space 1}{text:( 1)}{space 1} treatfull = -.035{p_end}

{txt}       F(  1,   186) ={res}    1.41
{txt}{col 13}Prob > F ={res}    0.2367

{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}     4,930
{txt}{col 49}F({res}   9{txt},{res}    186{txt}){col 67}= {res}     77.06
{txt}{col 49}Prob > F{col 67}= {res}    0.0000
{txt}{col 49}R-squared{col 67}= {res}    0.1110
{txt}{col 49}Adj R-squared{col 67}= {res}    0.1066
{txt}{col 49}Root MSE{col 67}= {res}    0.8984

{txt}{ralign 78:(Std. Err. adjusted for {res:187} clusters in hc_id)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}e_healthou~z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2}-.0025068{col 26}{space 2} .0273728{col 37}{space 1}   -0.09{col 46}{space 3}0.927{col 54}{space 4}-.0565079{col 67}{space 3} .0514943
{txt}b_healthou~z {c |}{col 14}{res}{space 2} .1301056{col 26}{space 2} .0158563{col 37}{space 1}    8.21{col 46}{space 3}0.000{col 54}{space 4} .0988243{col 67}{space 3}  .161387
{txt}b_healthou~d {c |}{col 14}{res}{space 2} .6767453{col 26}{space 2} .0268257{col 37}{space 1}   25.23{col 46}{space 3}0.000{col 54}{space 4} .6238235{col 67}{space 3}  .729667
{txt}{space 1}c_tfull_hc2 {c |}{col 14}{res}{space 2}-.0150939{col 26}{space 2} .0391048{col 37}{space 1}   -0.39{col 46}{space 3}0.700{col 54}{space 4}-.0922398{col 67}{space 3}  .062052
{txt}c_tfull_b_~l {c |}{col 14}{res}{space 2}-.0461058{col 26}{space 2} .0434625{col 37}{space 1}   -1.06{col 46}{space 3}0.290{col 54}{space 4}-.1318486{col 67}{space 3} .0396371
{txt}c_tfull_b_~s {c |}{col 14}{res}{space 2}-.0395781{col 26}{space 2} .0495328{col 37}{space 1}   -0.80{col 46}{space 3}0.425{col 54}{space 4}-.1372963{col 67}{space 3} .0581402
{txt}c_tfull_b_~d {c |}{col 14}{res}{space 2} .0312915{col 26}{space 2} .0564047{col 37}{space 1}    0.55{col 46}{space 3}0.580{col 54}{space 4}-.0799837{col 67}{space 3} .1425667
{txt}c_tfull_ed~r {c |}{col 14}{res}{space 2} .0095071{col 26}{space 2} .0036039{col 37}{space 1}    2.64{col 46}{space 3}0.009{col 54}{space 4} .0023975{col 67}{space 3} .0166168
{txt}c_tfull_b_~x {c |}{col 14}{res}{space 2} .0444258{col 26}{space 2} .0162695{col 37}{space 1}    2.73{col 46}{space 3}0.007{col 54}{space 4} .0123293{col 67}{space 3} .0765224
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} -.511236{col 26}{space 2} .0224249{col 37}{space 1}  -22.80{col 46}{space 3}0.000{col 54}{space 4}-.5554759{col 67}{space 3}-.4669962
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull = .036{p_end}

{txt}       F(  1,   186) ={res}    1.98
{txt}{col 13}Prob > F ={res}    0.1612

{p 0 7}{space 1}{text:( 1)}{space 1} treatfull = -.036{p_end}

{txt}       F(  1,   186) ={res}    1.50
{txt}{col 13}Prob > F ={res}    0.2227

{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}     4,930
{txt}{col 49}F({res}   9{txt},{res}    186{txt}){col 67}= {res}     77.06
{txt}{col 49}Prob > F{col 67}= {res}    0.0000
{txt}{col 49}R-squared{col 67}= {res}    0.1110
{txt}{col 49}Adj R-squared{col 67}= {res}    0.1066
{txt}{col 49}Root MSE{col 67}= {res}    0.8984

{txt}{ralign 78:(Std. Err. adjusted for {res:187} clusters in hc_id)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}e_healthou~z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2}-.0025068{col 26}{space 2} .0273728{col 37}{space 1}   -0.09{col 46}{space 3}0.927{col 54}{space 4}-.0565079{col 67}{space 3} .0514943
{txt}b_healthou~z {c |}{col 14}{res}{space 2} .1301056{col 26}{space 2} .0158563{col 37}{space 1}    8.21{col 46}{space 3}0.000{col 54}{space 4} .0988243{col 67}{space 3}  .161387
{txt}b_healthou~d {c |}{col 14}{res}{space 2} .6767453{col 26}{space 2} .0268257{col 37}{space 1}   25.23{col 46}{space 3}0.000{col 54}{space 4} .6238235{col 67}{space 3}  .729667
{txt}{space 1}c_tfull_hc2 {c |}{col 14}{res}{space 2}-.0150939{col 26}{space 2} .0391048{col 37}{space 1}   -0.39{col 46}{space 3}0.700{col 54}{space 4}-.0922398{col 67}{space 3}  .062052
{txt}c_tfull_b_~l {c |}{col 14}{res}{space 2}-.0461058{col 26}{space 2} .0434625{col 37}{space 1}   -1.06{col 46}{space 3}0.290{col 54}{space 4}-.1318486{col 67}{space 3} .0396371
{txt}c_tfull_b_~s {c |}{col 14}{res}{space 2}-.0395781{col 26}{space 2} .0495328{col 37}{space 1}   -0.80{col 46}{space 3}0.425{col 54}{space 4}-.1372963{col 67}{space 3} .0581402
{txt}c_tfull_b_~d {c |}{col 14}{res}{space 2} .0312915{col 26}{space 2} .0564047{col 37}{space 1}    0.55{col 46}{space 3}0.580{col 54}{space 4}-.0799837{col 67}{space 3} .1425667
{txt}c_tfull_ed~r {c |}{col 14}{res}{space 2} .0095071{col 26}{space 2} .0036039{col 37}{space 1}    2.64{col 46}{space 3}0.009{col 54}{space 4} .0023975{col 67}{space 3} .0166168
{txt}c_tfull_b_~x {c |}{col 14}{res}{space 2} .0444258{col 26}{space 2} .0162695{col 37}{space 1}    2.73{col 46}{space 3}0.007{col 54}{space 4} .0123293{col 67}{space 3} .0765224
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} -.511236{col 26}{space 2} .0224249{col 37}{space 1}  -22.80{col 46}{space 3}0.000{col 54}{space 4}-.5554759{col 67}{space 3}-.4669962
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull = .037{p_end}

{txt}       F(  1,   186) ={res}    2.08
{txt}{col 13}Prob > F ={res}    0.1506

{p 0 7}{space 1}{text:( 1)}{space 1} treatfull = -.037{p_end}

{txt}       F(  1,   186) ={res}    1.59
{txt}{col 13}Prob > F ={res}    0.2092

{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}     4,930
{txt}{col 49}F({res}   9{txt},{res}    186{txt}){col 67}= {res}     77.06
{txt}{col 49}Prob > F{col 67}= {res}    0.0000
{txt}{col 49}R-squared{col 67}= {res}    0.1110
{txt}{col 49}Adj R-squared{col 67}= {res}    0.1066
{txt}{col 49}Root MSE{col 67}= {res}    0.8984

{txt}{ralign 78:(Std. Err. adjusted for {res:187} clusters in hc_id)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}e_healthou~z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2}-.0025068{col 26}{space 2} .0273728{col 37}{space 1}   -0.09{col 46}{space 3}0.927{col 54}{space 4}-.0565079{col 67}{space 3} .0514943
{txt}b_healthou~z {c |}{col 14}{res}{space 2} .1301056{col 26}{space 2} .0158563{col 37}{space 1}    8.21{col 46}{space 3}0.000{col 54}{space 4} .0988243{col 67}{space 3}  .161387
{txt}b_healthou~d {c |}{col 14}{res}{space 2} .6767453{col 26}{space 2} .0268257{col 37}{space 1}   25.23{col 46}{space 3}0.000{col 54}{space 4} .6238235{col 67}{space 3}  .729667
{txt}{space 1}c_tfull_hc2 {c |}{col 14}{res}{space 2}-.0150939{col 26}{space 2} .0391048{col 37}{space 1}   -0.39{col 46}{space 3}0.700{col 54}{space 4}-.0922398{col 67}{space 3}  .062052
{txt}c_tfull_b_~l {c |}{col 14}{res}{space 2}-.0461058{col 26}{space 2} .0434625{col 37}{space 1}   -1.06{col 46}{space 3}0.290{col 54}{space 4}-.1318486{col 67}{space 3} .0396371
{txt}c_tfull_b_~s {c |}{col 14}{res}{space 2}-.0395781{col 26}{space 2} .0495328{col 37}{space 1}   -0.80{col 46}{space 3}0.425{col 54}{space 4}-.1372963{col 67}{space 3} .0581402
{txt}c_tfull_b_~d {c |}{col 14}{res}{space 2} .0312915{col 26}{space 2} .0564047{col 37}{space 1}    0.55{col 46}{space 3}0.580{col 54}{space 4}-.0799837{col 67}{space 3} .1425667
{txt}c_tfull_ed~r {c |}{col 14}{res}{space 2} .0095071{col 26}{space 2} .0036039{col 37}{space 1}    2.64{col 46}{space 3}0.009{col 54}{space 4} .0023975{col 67}{space 3} .0166168
{txt}c_tfull_b_~x {c |}{col 14}{res}{space 2} .0444258{col 26}{space 2} .0162695{col 37}{space 1}    2.73{col 46}{space 3}0.007{col 54}{space 4} .0123293{col 67}{space 3} .0765224
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} -.511236{col 26}{space 2} .0224249{col 37}{space 1}  -22.80{col 46}{space 3}0.000{col 54}{space 4}-.5554759{col 67}{space 3}-.4669962
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull = .038{p_end}

{txt}       F(  1,   186) ={res}    2.19
{txt}{col 13}Prob > F ={res}    0.1406

{p 0 7}{space 1}{text:( 1)}{space 1} treatfull = -.038{p_end}

{txt}       F(  1,   186) ={res}    1.68
{txt}{col 13}Prob > F ={res}    0.1964

{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}     4,930
{txt}{col 49}F({res}   9{txt},{res}    186{txt}){col 67}= {res}     77.06
{txt}{col 49}Prob > F{col 67}= {res}    0.0000
{txt}{col 49}R-squared{col 67}= {res}    0.1110
{txt}{col 49}Adj R-squared{col 67}= {res}    0.1066
{txt}{col 49}Root MSE{col 67}= {res}    0.8984

{txt}{ralign 78:(Std. Err. adjusted for {res:187} clusters in hc_id)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}e_healthou~z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2}-.0025068{col 26}{space 2} .0273728{col 37}{space 1}   -0.09{col 46}{space 3}0.927{col 54}{space 4}-.0565079{col 67}{space 3} .0514943
{txt}b_healthou~z {c |}{col 14}{res}{space 2} .1301056{col 26}{space 2} .0158563{col 37}{space 1}    8.21{col 46}{space 3}0.000{col 54}{space 4} .0988243{col 67}{space 3}  .161387
{txt}b_healthou~d {c |}{col 14}{res}{space 2} .6767453{col 26}{space 2} .0268257{col 37}{space 1}   25.23{col 46}{space 3}0.000{col 54}{space 4} .6238235{col 67}{space 3}  .729667
{txt}{space 1}c_tfull_hc2 {c |}{col 14}{res}{space 2}-.0150939{col 26}{space 2} .0391048{col 37}{space 1}   -0.39{col 46}{space 3}0.700{col 54}{space 4}-.0922398{col 67}{space 3}  .062052
{txt}c_tfull_b_~l {c |}{col 14}{res}{space 2}-.0461058{col 26}{space 2} .0434625{col 37}{space 1}   -1.06{col 46}{space 3}0.290{col 54}{space 4}-.1318486{col 67}{space 3} .0396371
{txt}c_tfull_b_~s {c |}{col 14}{res}{space 2}-.0395781{col 26}{space 2} .0495328{col 37}{space 1}   -0.80{col 46}{space 3}0.425{col 54}{space 4}-.1372963{col 67}{space 3} .0581402
{txt}c_tfull_b_~d {c |}{col 14}{res}{space 2} .0312915{col 26}{space 2} .0564047{col 37}{space 1}    0.55{col 46}{space 3}0.580{col 54}{space 4}-.0799837{col 67}{space 3} .1425667
{txt}c_tfull_ed~r {c |}{col 14}{res}{space 2} .0095071{col 26}{space 2} .0036039{col 37}{space 1}    2.64{col 46}{space 3}0.009{col 54}{space 4} .0023975{col 67}{space 3} .0166168
{txt}c_tfull_b_~x {c |}{col 14}{res}{space 2} .0444258{col 26}{space 2} .0162695{col 37}{space 1}    2.73{col 46}{space 3}0.007{col 54}{space 4} .0123293{col 67}{space 3} .0765224
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} -.511236{col 26}{space 2} .0224249{col 37}{space 1}  -22.80{col 46}{space 3}0.000{col 54}{space 4}-.5554759{col 67}{space 3}-.4669962
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull = .039{p_end}

{txt}       F(  1,   186) ={res}    2.30
{txt}{col 13}Prob > F ={res}    0.1311

{p 0 7}{space 1}{text:( 1)}{space 1} treatfull = -.039{p_end}

{txt}       F(  1,   186) ={res}    1.78
{txt}{col 13}Prob > F ={res}    0.1841

{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}     4,930
{txt}{col 49}F({res}   9{txt},{res}    186{txt}){col 67}= {res}     77.06
{txt}{col 49}Prob > F{col 67}= {res}    0.0000
{txt}{col 49}R-squared{col 67}= {res}    0.1110
{txt}{col 49}Adj R-squared{col 67}= {res}    0.1066
{txt}{col 49}Root MSE{col 67}= {res}    0.8984

{txt}{ralign 78:(Std. Err. adjusted for {res:187} clusters in hc_id)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}e_healthou~z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2}-.0025068{col 26}{space 2} .0273728{col 37}{space 1}   -0.09{col 46}{space 3}0.927{col 54}{space 4}-.0565079{col 67}{space 3} .0514943
{txt}b_healthou~z {c |}{col 14}{res}{space 2} .1301056{col 26}{space 2} .0158563{col 37}{space 1}    8.21{col 46}{space 3}0.000{col 54}{space 4} .0988243{col 67}{space 3}  .161387
{txt}b_healthou~d {c |}{col 14}{res}{space 2} .6767453{col 26}{space 2} .0268257{col 37}{space 1}   25.23{col 46}{space 3}0.000{col 54}{space 4} .6238235{col 67}{space 3}  .729667
{txt}{space 1}c_tfull_hc2 {c |}{col 14}{res}{space 2}-.0150939{col 26}{space 2} .0391048{col 37}{space 1}   -0.39{col 46}{space 3}0.700{col 54}{space 4}-.0922398{col 67}{space 3}  .062052
{txt}c_tfull_b_~l {c |}{col 14}{res}{space 2}-.0461058{col 26}{space 2} .0434625{col 37}{space 1}   -1.06{col 46}{space 3}0.290{col 54}{space 4}-.1318486{col 67}{space 3} .0396371
{txt}c_tfull_b_~s {c |}{col 14}{res}{space 2}-.0395781{col 26}{space 2} .0495328{col 37}{space 1}   -0.80{col 46}{space 3}0.425{col 54}{space 4}-.1372963{col 67}{space 3} .0581402
{txt}c_tfull_b_~d {c |}{col 14}{res}{space 2} .0312915{col 26}{space 2} .0564047{col 37}{space 1}    0.55{col 46}{space 3}0.580{col 54}{space 4}-.0799837{col 67}{space 3} .1425667
{txt}c_tfull_ed~r {c |}{col 14}{res}{space 2} .0095071{col 26}{space 2} .0036039{col 37}{space 1}    2.64{col 46}{space 3}0.009{col 54}{space 4} .0023975{col 67}{space 3} .0166168
{txt}c_tfull_b_~x {c |}{col 14}{res}{space 2} .0444258{col 26}{space 2} .0162695{col 37}{space 1}    2.73{col 46}{space 3}0.007{col 54}{space 4} .0123293{col 67}{space 3} .0765224
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} -.511236{col 26}{space 2} .0224249{col 37}{space 1}  -22.80{col 46}{space 3}0.000{col 54}{space 4}-.5554759{col 67}{space 3}-.4669962
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull = .04{p_end}

{txt}       F(  1,   186) ={res}    2.41
{txt}{col 13}Prob > F ={res}    0.1222

{p 0 7}{space 1}{text:( 1)}{space 1} treatfull = -.04{p_end}

{txt}       F(  1,   186) ={res}    1.88
{txt}{col 13}Prob > F ={res}    0.1724

{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}     4,930
{txt}{col 49}F({res}   9{txt},{res}    186{txt}){col 67}= {res}     77.06
{txt}{col 49}Prob > F{col 67}= {res}    0.0000
{txt}{col 49}R-squared{col 67}= {res}    0.1110
{txt}{col 49}Adj R-squared{col 67}= {res}    0.1066
{txt}{col 49}Root MSE{col 67}= {res}    0.8984

{txt}{ralign 78:(Std. Err. adjusted for {res:187} clusters in hc_id)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}e_healthou~z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2}-.0025068{col 26}{space 2} .0273728{col 37}{space 1}   -0.09{col 46}{space 3}0.927{col 54}{space 4}-.0565079{col 67}{space 3} .0514943
{txt}b_healthou~z {c |}{col 14}{res}{space 2} .1301056{col 26}{space 2} .0158563{col 37}{space 1}    8.21{col 46}{space 3}0.000{col 54}{space 4} .0988243{col 67}{space 3}  .161387
{txt}b_healthou~d {c |}{col 14}{res}{space 2} .6767453{col 26}{space 2} .0268257{col 37}{space 1}   25.23{col 46}{space 3}0.000{col 54}{space 4} .6238235{col 67}{space 3}  .729667
{txt}{space 1}c_tfull_hc2 {c |}{col 14}{res}{space 2}-.0150939{col 26}{space 2} .0391048{col 37}{space 1}   -0.39{col 46}{space 3}0.700{col 54}{space 4}-.0922398{col 67}{space 3}  .062052
{txt}c_tfull_b_~l {c |}{col 14}{res}{space 2}-.0461058{col 26}{space 2} .0434625{col 37}{space 1}   -1.06{col 46}{space 3}0.290{col 54}{space 4}-.1318486{col 67}{space 3} .0396371
{txt}c_tfull_b_~s {c |}{col 14}{res}{space 2}-.0395781{col 26}{space 2} .0495328{col 37}{space 1}   -0.80{col 46}{space 3}0.425{col 54}{space 4}-.1372963{col 67}{space 3} .0581402
{txt}c_tfull_b_~d {c |}{col 14}{res}{space 2} .0312915{col 26}{space 2} .0564047{col 37}{space 1}    0.55{col 46}{space 3}0.580{col 54}{space 4}-.0799837{col 67}{space 3} .1425667
{txt}c_tfull_ed~r {c |}{col 14}{res}{space 2} .0095071{col 26}{space 2} .0036039{col 37}{space 1}    2.64{col 46}{space 3}0.009{col 54}{space 4} .0023975{col 67}{space 3} .0166168
{txt}c_tfull_b_~x {c |}{col 14}{res}{space 2} .0444258{col 26}{space 2} .0162695{col 37}{space 1}    2.73{col 46}{space 3}0.007{col 54}{space 4} .0123293{col 67}{space 3} .0765224
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} -.511236{col 26}{space 2} .0224249{col 37}{space 1}  -22.80{col 46}{space 3}0.000{col 54}{space 4}-.5554759{col 67}{space 3}-.4669962
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull = .041{p_end}

{txt}       F(  1,   186) ={res}    2.53
{txt}{col 13}Prob > F ={res}    0.1137

{p 0 7}{space 1}{text:( 1)}{space 1} treatfull = -.041{p_end}

{txt}       F(  1,   186) ={res}    1.98
{txt}{col 13}Prob > F ={res}    0.1613

{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}     4,930
{txt}{col 49}F({res}   9{txt},{res}    186{txt}){col 67}= {res}     77.06
{txt}{col 49}Prob > F{col 67}= {res}    0.0000
{txt}{col 49}R-squared{col 67}= {res}    0.1110
{txt}{col 49}Adj R-squared{col 67}= {res}    0.1066
{txt}{col 49}Root MSE{col 67}= {res}    0.8984

{txt}{ralign 78:(Std. Err. adjusted for {res:187} clusters in hc_id)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}e_healthou~z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2}-.0025068{col 26}{space 2} .0273728{col 37}{space 1}   -0.09{col 46}{space 3}0.927{col 54}{space 4}-.0565079{col 67}{space 3} .0514943
{txt}b_healthou~z {c |}{col 14}{res}{space 2} .1301056{col 26}{space 2} .0158563{col 37}{space 1}    8.21{col 46}{space 3}0.000{col 54}{space 4} .0988243{col 67}{space 3}  .161387
{txt}b_healthou~d {c |}{col 14}{res}{space 2} .6767453{col 26}{space 2} .0268257{col 37}{space 1}   25.23{col 46}{space 3}0.000{col 54}{space 4} .6238235{col 67}{space 3}  .729667
{txt}{space 1}c_tfull_hc2 {c |}{col 14}{res}{space 2}-.0150939{col 26}{space 2} .0391048{col 37}{space 1}   -0.39{col 46}{space 3}0.700{col 54}{space 4}-.0922398{col 67}{space 3}  .062052
{txt}c_tfull_b_~l {c |}{col 14}{res}{space 2}-.0461058{col 26}{space 2} .0434625{col 37}{space 1}   -1.06{col 46}{space 3}0.290{col 54}{space 4}-.1318486{col 67}{space 3} .0396371
{txt}c_tfull_b_~s {c |}{col 14}{res}{space 2}-.0395781{col 26}{space 2} .0495328{col 37}{space 1}   -0.80{col 46}{space 3}0.425{col 54}{space 4}-.1372963{col 67}{space 3} .0581402
{txt}c_tfull_b_~d {c |}{col 14}{res}{space 2} .0312915{col 26}{space 2} .0564047{col 37}{space 1}    0.55{col 46}{space 3}0.580{col 54}{space 4}-.0799837{col 67}{space 3} .1425667
{txt}c_tfull_ed~r {c |}{col 14}{res}{space 2} .0095071{col 26}{space 2} .0036039{col 37}{space 1}    2.64{col 46}{space 3}0.009{col 54}{space 4} .0023975{col 67}{space 3} .0166168
{txt}c_tfull_b_~x {c |}{col 14}{res}{space 2} .0444258{col 26}{space 2} .0162695{col 37}{space 1}    2.73{col 46}{space 3}0.007{col 54}{space 4} .0123293{col 67}{space 3} .0765224
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} -.511236{col 26}{space 2} .0224249{col 37}{space 1}  -22.80{col 46}{space 3}0.000{col 54}{space 4}-.5554759{col 67}{space 3}-.4669962
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull = .042{p_end}

{txt}       F(  1,   186) ={res}    2.64
{txt}{col 13}Prob > F ={res}    0.1057

{p 0 7}{space 1}{text:( 1)}{space 1} treatfull = -.042{p_end}

{txt}       F(  1,   186) ={res}    2.08
{txt}{col 13}Prob > F ={res}    0.1508

{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}     4,930
{txt}{col 49}F({res}   9{txt},{res}    186{txt}){col 67}= {res}     77.06
{txt}{col 49}Prob > F{col 67}= {res}    0.0000
{txt}{col 49}R-squared{col 67}= {res}    0.1110
{txt}{col 49}Adj R-squared{col 67}= {res}    0.1066
{txt}{col 49}Root MSE{col 67}= {res}    0.8984

{txt}{ralign 78:(Std. Err. adjusted for {res:187} clusters in hc_id)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}e_healthou~z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2}-.0025068{col 26}{space 2} .0273728{col 37}{space 1}   -0.09{col 46}{space 3}0.927{col 54}{space 4}-.0565079{col 67}{space 3} .0514943
{txt}b_healthou~z {c |}{col 14}{res}{space 2} .1301056{col 26}{space 2} .0158563{col 37}{space 1}    8.21{col 46}{space 3}0.000{col 54}{space 4} .0988243{col 67}{space 3}  .161387
{txt}b_healthou~d {c |}{col 14}{res}{space 2} .6767453{col 26}{space 2} .0268257{col 37}{space 1}   25.23{col 46}{space 3}0.000{col 54}{space 4} .6238235{col 67}{space 3}  .729667
{txt}{space 1}c_tfull_hc2 {c |}{col 14}{res}{space 2}-.0150939{col 26}{space 2} .0391048{col 37}{space 1}   -0.39{col 46}{space 3}0.700{col 54}{space 4}-.0922398{col 67}{space 3}  .062052
{txt}c_tfull_b_~l {c |}{col 14}{res}{space 2}-.0461058{col 26}{space 2} .0434625{col 37}{space 1}   -1.06{col 46}{space 3}0.290{col 54}{space 4}-.1318486{col 67}{space 3} .0396371
{txt}c_tfull_b_~s {c |}{col 14}{res}{space 2}-.0395781{col 26}{space 2} .0495328{col 37}{space 1}   -0.80{col 46}{space 3}0.425{col 54}{space 4}-.1372963{col 67}{space 3} .0581402
{txt}c_tfull_b_~d {c |}{col 14}{res}{space 2} .0312915{col 26}{space 2} .0564047{col 37}{space 1}    0.55{col 46}{space 3}0.580{col 54}{space 4}-.0799837{col 67}{space 3} .1425667
{txt}c_tfull_ed~r {c |}{col 14}{res}{space 2} .0095071{col 26}{space 2} .0036039{col 37}{space 1}    2.64{col 46}{space 3}0.009{col 54}{space 4} .0023975{col 67}{space 3} .0166168
{txt}c_tfull_b_~x {c |}{col 14}{res}{space 2} .0444258{col 26}{space 2} .0162695{col 37}{space 1}    2.73{col 46}{space 3}0.007{col 54}{space 4} .0123293{col 67}{space 3} .0765224
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} -.511236{col 26}{space 2} .0224249{col 37}{space 1}  -22.80{col 46}{space 3}0.000{col 54}{space 4}-.5554759{col 67}{space 3}-.4669962
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull = .043{p_end}

{txt}       F(  1,   186) ={res}    2.76
{txt}{col 13}Prob > F ={res}    0.0981

{p 0 7}{space 1}{text:( 1)}{space 1} treatfull = -.043{p_end}

{txt}       F(  1,   186) ={res}    2.19
{txt}{col 13}Prob > F ={res}    0.1407

{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}     4,930
{txt}{col 49}F({res}   9{txt},{res}    186{txt}){col 67}= {res}     77.06
{txt}{col 49}Prob > F{col 67}= {res}    0.0000
{txt}{col 49}R-squared{col 67}= {res}    0.1110
{txt}{col 49}Adj R-squared{col 67}= {res}    0.1066
{txt}{col 49}Root MSE{col 67}= {res}    0.8984

{txt}{ralign 78:(Std. Err. adjusted for {res:187} clusters in hc_id)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}e_healthou~z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2}-.0025068{col 26}{space 2} .0273728{col 37}{space 1}   -0.09{col 46}{space 3}0.927{col 54}{space 4}-.0565079{col 67}{space 3} .0514943
{txt}b_healthou~z {c |}{col 14}{res}{space 2} .1301056{col 26}{space 2} .0158563{col 37}{space 1}    8.21{col 46}{space 3}0.000{col 54}{space 4} .0988243{col 67}{space 3}  .161387
{txt}b_healthou~d {c |}{col 14}{res}{space 2} .6767453{col 26}{space 2} .0268257{col 37}{space 1}   25.23{col 46}{space 3}0.000{col 54}{space 4} .6238235{col 67}{space 3}  .729667
{txt}{space 1}c_tfull_hc2 {c |}{col 14}{res}{space 2}-.0150939{col 26}{space 2} .0391048{col 37}{space 1}   -0.39{col 46}{space 3}0.700{col 54}{space 4}-.0922398{col 67}{space 3}  .062052
{txt}c_tfull_b_~l {c |}{col 14}{res}{space 2}-.0461058{col 26}{space 2} .0434625{col 37}{space 1}   -1.06{col 46}{space 3}0.290{col 54}{space 4}-.1318486{col 67}{space 3} .0396371
{txt}c_tfull_b_~s {c |}{col 14}{res}{space 2}-.0395781{col 26}{space 2} .0495328{col 37}{space 1}   -0.80{col 46}{space 3}0.425{col 54}{space 4}-.1372963{col 67}{space 3} .0581402
{txt}c_tfull_b_~d {c |}{col 14}{res}{space 2} .0312915{col 26}{space 2} .0564047{col 37}{space 1}    0.55{col 46}{space 3}0.580{col 54}{space 4}-.0799837{col 67}{space 3} .1425667
{txt}c_tfull_ed~r {c |}{col 14}{res}{space 2} .0095071{col 26}{space 2} .0036039{col 37}{space 1}    2.64{col 46}{space 3}0.009{col 54}{space 4} .0023975{col 67}{space 3} .0166168
{txt}c_tfull_b_~x {c |}{col 14}{res}{space 2} .0444258{col 26}{space 2} .0162695{col 37}{space 1}    2.73{col 46}{space 3}0.007{col 54}{space 4} .0123293{col 67}{space 3} .0765224
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} -.511236{col 26}{space 2} .0224249{col 37}{space 1}  -22.80{col 46}{space 3}0.000{col 54}{space 4}-.5554759{col 67}{space 3}-.4669962
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull = .044{p_end}

{txt}       F(  1,   186) ={res}    2.89
{txt}{col 13}Prob > F ={res}    0.0910

{p 0 7}{space 1}{text:( 1)}{space 1} treatfull = -.044{p_end}

{txt}       F(  1,   186) ={res}    2.30
{txt}{col 13}Prob > F ={res}    0.1313

{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}     4,930
{txt}{col 49}F({res}   9{txt},{res}    186{txt}){col 67}= {res}     77.06
{txt}{col 49}Prob > F{col 67}= {res}    0.0000
{txt}{col 49}R-squared{col 67}= {res}    0.1110
{txt}{col 49}Adj R-squared{col 67}= {res}    0.1066
{txt}{col 49}Root MSE{col 67}= {res}    0.8984

{txt}{ralign 78:(Std. Err. adjusted for {res:187} clusters in hc_id)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}e_healthou~z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2}-.0025068{col 26}{space 2} .0273728{col 37}{space 1}   -0.09{col 46}{space 3}0.927{col 54}{space 4}-.0565079{col 67}{space 3} .0514943
{txt}b_healthou~z {c |}{col 14}{res}{space 2} .1301056{col 26}{space 2} .0158563{col 37}{space 1}    8.21{col 46}{space 3}0.000{col 54}{space 4} .0988243{col 67}{space 3}  .161387
{txt}b_healthou~d {c |}{col 14}{res}{space 2} .6767453{col 26}{space 2} .0268257{col 37}{space 1}   25.23{col 46}{space 3}0.000{col 54}{space 4} .6238235{col 67}{space 3}  .729667
{txt}{space 1}c_tfull_hc2 {c |}{col 14}{res}{space 2}-.0150939{col 26}{space 2} .0391048{col 37}{space 1}   -0.39{col 46}{space 3}0.700{col 54}{space 4}-.0922398{col 67}{space 3}  .062052
{txt}c_tfull_b_~l {c |}{col 14}{res}{space 2}-.0461058{col 26}{space 2} .0434625{col 37}{space 1}   -1.06{col 46}{space 3}0.290{col 54}{space 4}-.1318486{col 67}{space 3} .0396371
{txt}c_tfull_b_~s {c |}{col 14}{res}{space 2}-.0395781{col 26}{space 2} .0495328{col 37}{space 1}   -0.80{col 46}{space 3}0.425{col 54}{space 4}-.1372963{col 67}{space 3} .0581402
{txt}c_tfull_b_~d {c |}{col 14}{res}{space 2} .0312915{col 26}{space 2} .0564047{col 37}{space 1}    0.55{col 46}{space 3}0.580{col 54}{space 4}-.0799837{col 67}{space 3} .1425667
{txt}c_tfull_ed~r {c |}{col 14}{res}{space 2} .0095071{col 26}{space 2} .0036039{col 37}{space 1}    2.64{col 46}{space 3}0.009{col 54}{space 4} .0023975{col 67}{space 3} .0166168
{txt}c_tfull_b_~x {c |}{col 14}{res}{space 2} .0444258{col 26}{space 2} .0162695{col 37}{space 1}    2.73{col 46}{space 3}0.007{col 54}{space 4} .0123293{col 67}{space 3} .0765224
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} -.511236{col 26}{space 2} .0224249{col 37}{space 1}  -22.80{col 46}{space 3}0.000{col 54}{space 4}-.5554759{col 67}{space 3}-.4669962
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull = .045{p_end}

{txt}       F(  1,   186) ={res}    3.01
{txt}{col 13}Prob > F ={res}    0.0843

{p 0 7}{space 1}{text:( 1)}{space 1} treatfull = -.045{p_end}

{txt}       F(  1,   186) ={res}    2.41
{txt}{col 13}Prob > F ={res}    0.1223

{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}     4,930
{txt}{col 49}F({res}   9{txt},{res}    186{txt}){col 67}= {res}     77.06
{txt}{col 49}Prob > F{col 67}= {res}    0.0000
{txt}{col 49}R-squared{col 67}= {res}    0.1110
{txt}{col 49}Adj R-squared{col 67}= {res}    0.1066
{txt}{col 49}Root MSE{col 67}= {res}    0.8984

{txt}{ralign 78:(Std. Err. adjusted for {res:187} clusters in hc_id)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}e_healthou~z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2}-.0025068{col 26}{space 2} .0273728{col 37}{space 1}   -0.09{col 46}{space 3}0.927{col 54}{space 4}-.0565079{col 67}{space 3} .0514943
{txt}b_healthou~z {c |}{col 14}{res}{space 2} .1301056{col 26}{space 2} .0158563{col 37}{space 1}    8.21{col 46}{space 3}0.000{col 54}{space 4} .0988243{col 67}{space 3}  .161387
{txt}b_healthou~d {c |}{col 14}{res}{space 2} .6767453{col 26}{space 2} .0268257{col 37}{space 1}   25.23{col 46}{space 3}0.000{col 54}{space 4} .6238235{col 67}{space 3}  .729667
{txt}{space 1}c_tfull_hc2 {c |}{col 14}{res}{space 2}-.0150939{col 26}{space 2} .0391048{col 37}{space 1}   -0.39{col 46}{space 3}0.700{col 54}{space 4}-.0922398{col 67}{space 3}  .062052
{txt}c_tfull_b_~l {c |}{col 14}{res}{space 2}-.0461058{col 26}{space 2} .0434625{col 37}{space 1}   -1.06{col 46}{space 3}0.290{col 54}{space 4}-.1318486{col 67}{space 3} .0396371
{txt}c_tfull_b_~s {c |}{col 14}{res}{space 2}-.0395781{col 26}{space 2} .0495328{col 37}{space 1}   -0.80{col 46}{space 3}0.425{col 54}{space 4}-.1372963{col 67}{space 3} .0581402
{txt}c_tfull_b_~d {c |}{col 14}{res}{space 2} .0312915{col 26}{space 2} .0564047{col 37}{space 1}    0.55{col 46}{space 3}0.580{col 54}{space 4}-.0799837{col 67}{space 3} .1425667
{txt}c_tfull_ed~r {c |}{col 14}{res}{space 2} .0095071{col 26}{space 2} .0036039{col 37}{space 1}    2.64{col 46}{space 3}0.009{col 54}{space 4} .0023975{col 67}{space 3} .0166168
{txt}c_tfull_b_~x {c |}{col 14}{res}{space 2} .0444258{col 26}{space 2} .0162695{col 37}{space 1}    2.73{col 46}{space 3}0.007{col 54}{space 4} .0123293{col 67}{space 3} .0765224
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} -.511236{col 26}{space 2} .0224249{col 37}{space 1}  -22.80{col 46}{space 3}0.000{col 54}{space 4}-.5554759{col 67}{space 3}-.4669962
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull = .046{p_end}

{txt}       F(  1,   186) ={res}    3.14
{txt}{col 13}Prob > F ={res}    0.0780

{p 0 7}{space 1}{text:( 1)}{space 1} treatfull = -.046{p_end}

{txt}       F(  1,   186) ={res}    2.52
{txt}{col 13}Prob > F ={res}    0.1138

{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}     4,930
{txt}{col 49}F({res}   9{txt},{res}    186{txt}){col 67}= {res}     77.06
{txt}{col 49}Prob > F{col 67}= {res}    0.0000
{txt}{col 49}R-squared{col 67}= {res}    0.1110
{txt}{col 49}Adj R-squared{col 67}= {res}    0.1066
{txt}{col 49}Root MSE{col 67}= {res}    0.8984

{txt}{ralign 78:(Std. Err. adjusted for {res:187} clusters in hc_id)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}e_healthou~z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2}-.0025068{col 26}{space 2} .0273728{col 37}{space 1}   -0.09{col 46}{space 3}0.927{col 54}{space 4}-.0565079{col 67}{space 3} .0514943
{txt}b_healthou~z {c |}{col 14}{res}{space 2} .1301056{col 26}{space 2} .0158563{col 37}{space 1}    8.21{col 46}{space 3}0.000{col 54}{space 4} .0988243{col 67}{space 3}  .161387
{txt}b_healthou~d {c |}{col 14}{res}{space 2} .6767453{col 26}{space 2} .0268257{col 37}{space 1}   25.23{col 46}{space 3}0.000{col 54}{space 4} .6238235{col 67}{space 3}  .729667
{txt}{space 1}c_tfull_hc2 {c |}{col 14}{res}{space 2}-.0150939{col 26}{space 2} .0391048{col 37}{space 1}   -0.39{col 46}{space 3}0.700{col 54}{space 4}-.0922398{col 67}{space 3}  .062052
{txt}c_tfull_b_~l {c |}{col 14}{res}{space 2}-.0461058{col 26}{space 2} .0434625{col 37}{space 1}   -1.06{col 46}{space 3}0.290{col 54}{space 4}-.1318486{col 67}{space 3} .0396371
{txt}c_tfull_b_~s {c |}{col 14}{res}{space 2}-.0395781{col 26}{space 2} .0495328{col 37}{space 1}   -0.80{col 46}{space 3}0.425{col 54}{space 4}-.1372963{col 67}{space 3} .0581402
{txt}c_tfull_b_~d {c |}{col 14}{res}{space 2} .0312915{col 26}{space 2} .0564047{col 37}{space 1}    0.55{col 46}{space 3}0.580{col 54}{space 4}-.0799837{col 67}{space 3} .1425667
{txt}c_tfull_ed~r {c |}{col 14}{res}{space 2} .0095071{col 26}{space 2} .0036039{col 37}{space 1}    2.64{col 46}{space 3}0.009{col 54}{space 4} .0023975{col 67}{space 3} .0166168
{txt}c_tfull_b_~x {c |}{col 14}{res}{space 2} .0444258{col 26}{space 2} .0162695{col 37}{space 1}    2.73{col 46}{space 3}0.007{col 54}{space 4} .0123293{col 67}{space 3} .0765224
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} -.511236{col 26}{space 2} .0224249{col 37}{space 1}  -22.80{col 46}{space 3}0.000{col 54}{space 4}-.5554759{col 67}{space 3}-.4669962
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull = .047{p_end}

{txt}       F(  1,   186) ={res}    3.27
{txt}{col 13}Prob > F ={res}    0.0721

{p 0 7}{space 1}{text:( 1)}{space 1} treatfull = -.047{p_end}

{txt}       F(  1,   186) ={res}    2.64
{txt}{col 13}Prob > F ={res}    0.1058

{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}     4,930
{txt}{col 49}F({res}   9{txt},{res}    186{txt}){col 67}= {res}     77.06
{txt}{col 49}Prob > F{col 67}= {res}    0.0000
{txt}{col 49}R-squared{col 67}= {res}    0.1110
{txt}{col 49}Adj R-squared{col 67}= {res}    0.1066
{txt}{col 49}Root MSE{col 67}= {res}    0.8984

{txt}{ralign 78:(Std. Err. adjusted for {res:187} clusters in hc_id)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}e_healthou~z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2}-.0025068{col 26}{space 2} .0273728{col 37}{space 1}   -0.09{col 46}{space 3}0.927{col 54}{space 4}-.0565079{col 67}{space 3} .0514943
{txt}b_healthou~z {c |}{col 14}{res}{space 2} .1301056{col 26}{space 2} .0158563{col 37}{space 1}    8.21{col 46}{space 3}0.000{col 54}{space 4} .0988243{col 67}{space 3}  .161387
{txt}b_healthou~d {c |}{col 14}{res}{space 2} .6767453{col 26}{space 2} .0268257{col 37}{space 1}   25.23{col 46}{space 3}0.000{col 54}{space 4} .6238235{col 67}{space 3}  .729667
{txt}{space 1}c_tfull_hc2 {c |}{col 14}{res}{space 2}-.0150939{col 26}{space 2} .0391048{col 37}{space 1}   -0.39{col 46}{space 3}0.700{col 54}{space 4}-.0922398{col 67}{space 3}  .062052
{txt}c_tfull_b_~l {c |}{col 14}{res}{space 2}-.0461058{col 26}{space 2} .0434625{col 37}{space 1}   -1.06{col 46}{space 3}0.290{col 54}{space 4}-.1318486{col 67}{space 3} .0396371
{txt}c_tfull_b_~s {c |}{col 14}{res}{space 2}-.0395781{col 26}{space 2} .0495328{col 37}{space 1}   -0.80{col 46}{space 3}0.425{col 54}{space 4}-.1372963{col 67}{space 3} .0581402
{txt}c_tfull_b_~d {c |}{col 14}{res}{space 2} .0312915{col 26}{space 2} .0564047{col 37}{space 1}    0.55{col 46}{space 3}0.580{col 54}{space 4}-.0799837{col 67}{space 3} .1425667
{txt}c_tfull_ed~r {c |}{col 14}{res}{space 2} .0095071{col 26}{space 2} .0036039{col 37}{space 1}    2.64{col 46}{space 3}0.009{col 54}{space 4} .0023975{col 67}{space 3} .0166168
{txt}c_tfull_b_~x {c |}{col 14}{res}{space 2} .0444258{col 26}{space 2} .0162695{col 37}{space 1}    2.73{col 46}{space 3}0.007{col 54}{space 4} .0123293{col 67}{space 3} .0765224
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} -.511236{col 26}{space 2} .0224249{col 37}{space 1}  -22.80{col 46}{space 3}0.000{col 54}{space 4}-.5554759{col 67}{space 3}-.4669962
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull = .048{p_end}

{txt}       F(  1,   186) ={res}    3.40
{txt}{col 13}Prob > F ={res}    0.0666

{p 0 7}{space 1}{text:( 1)}{space 1} treatfull = -.048{p_end}

{txt}       F(  1,   186) ={res}    2.76
{txt}{col 13}Prob > F ={res}    0.0982

{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}     4,930
{txt}{col 49}F({res}   9{txt},{res}    186{txt}){col 67}= {res}     77.06
{txt}{col 49}Prob > F{col 67}= {res}    0.0000
{txt}{col 49}R-squared{col 67}= {res}    0.1110
{txt}{col 49}Adj R-squared{col 67}= {res}    0.1066
{txt}{col 49}Root MSE{col 67}= {res}    0.8984

{txt}{ralign 78:(Std. Err. adjusted for {res:187} clusters in hc_id)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}e_healthou~z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2}-.0025068{col 26}{space 2} .0273728{col 37}{space 1}   -0.09{col 46}{space 3}0.927{col 54}{space 4}-.0565079{col 67}{space 3} .0514943
{txt}b_healthou~z {c |}{col 14}{res}{space 2} .1301056{col 26}{space 2} .0158563{col 37}{space 1}    8.21{col 46}{space 3}0.000{col 54}{space 4} .0988243{col 67}{space 3}  .161387
{txt}b_healthou~d {c |}{col 14}{res}{space 2} .6767453{col 26}{space 2} .0268257{col 37}{space 1}   25.23{col 46}{space 3}0.000{col 54}{space 4} .6238235{col 67}{space 3}  .729667
{txt}{space 1}c_tfull_hc2 {c |}{col 14}{res}{space 2}-.0150939{col 26}{space 2} .0391048{col 37}{space 1}   -0.39{col 46}{space 3}0.700{col 54}{space 4}-.0922398{col 67}{space 3}  .062052
{txt}c_tfull_b_~l {c |}{col 14}{res}{space 2}-.0461058{col 26}{space 2} .0434625{col 37}{space 1}   -1.06{col 46}{space 3}0.290{col 54}{space 4}-.1318486{col 67}{space 3} .0396371
{txt}c_tfull_b_~s {c |}{col 14}{res}{space 2}-.0395781{col 26}{space 2} .0495328{col 37}{space 1}   -0.80{col 46}{space 3}0.425{col 54}{space 4}-.1372963{col 67}{space 3} .0581402
{txt}c_tfull_b_~d {c |}{col 14}{res}{space 2} .0312915{col 26}{space 2} .0564047{col 37}{space 1}    0.55{col 46}{space 3}0.580{col 54}{space 4}-.0799837{col 67}{space 3} .1425667
{txt}c_tfull_ed~r {c |}{col 14}{res}{space 2} .0095071{col 26}{space 2} .0036039{col 37}{space 1}    2.64{col 46}{space 3}0.009{col 54}{space 4} .0023975{col 67}{space 3} .0166168
{txt}c_tfull_b_~x {c |}{col 14}{res}{space 2} .0444258{col 26}{space 2} .0162695{col 37}{space 1}    2.73{col 46}{space 3}0.007{col 54}{space 4} .0123293{col 67}{space 3} .0765224
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} -.511236{col 26}{space 2} .0224249{col 37}{space 1}  -22.80{col 46}{space 3}0.000{col 54}{space 4}-.5554759{col 67}{space 3}-.4669962
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull = .049{p_end}

{txt}       F(  1,   186) ={res}    3.54
{txt}{col 13}Prob > F ={res}    0.0614

{p 0 7}{space 1}{text:( 1)}{space 1} treatfull = -.049{p_end}

{txt}       F(  1,   186) ={res}    2.88
{txt}{col 13}Prob > F ={res}    0.0911

{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}     4,930
{txt}{col 49}F({res}   9{txt},{res}    186{txt}){col 67}= {res}     77.06
{txt}{col 49}Prob > F{col 67}= {res}    0.0000
{txt}{col 49}R-squared{col 67}= {res}    0.1110
{txt}{col 49}Adj R-squared{col 67}= {res}    0.1066
{txt}{col 49}Root MSE{col 67}= {res}    0.8984

{txt}{ralign 78:(Std. Err. adjusted for {res:187} clusters in hc_id)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}e_healthou~z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2}-.0025068{col 26}{space 2} .0273728{col 37}{space 1}   -0.09{col 46}{space 3}0.927{col 54}{space 4}-.0565079{col 67}{space 3} .0514943
{txt}b_healthou~z {c |}{col 14}{res}{space 2} .1301056{col 26}{space 2} .0158563{col 37}{space 1}    8.21{col 46}{space 3}0.000{col 54}{space 4} .0988243{col 67}{space 3}  .161387
{txt}b_healthou~d {c |}{col 14}{res}{space 2} .6767453{col 26}{space 2} .0268257{col 37}{space 1}   25.23{col 46}{space 3}0.000{col 54}{space 4} .6238235{col 67}{space 3}  .729667
{txt}{space 1}c_tfull_hc2 {c |}{col 14}{res}{space 2}-.0150939{col 26}{space 2} .0391048{col 37}{space 1}   -0.39{col 46}{space 3}0.700{col 54}{space 4}-.0922398{col 67}{space 3}  .062052
{txt}c_tfull_b_~l {c |}{col 14}{res}{space 2}-.0461058{col 26}{space 2} .0434625{col 37}{space 1}   -1.06{col 46}{space 3}0.290{col 54}{space 4}-.1318486{col 67}{space 3} .0396371
{txt}c_tfull_b_~s {c |}{col 14}{res}{space 2}-.0395781{col 26}{space 2} .0495328{col 37}{space 1}   -0.80{col 46}{space 3}0.425{col 54}{space 4}-.1372963{col 67}{space 3} .0581402
{txt}c_tfull_b_~d {c |}{col 14}{res}{space 2} .0312915{col 26}{space 2} .0564047{col 37}{space 1}    0.55{col 46}{space 3}0.580{col 54}{space 4}-.0799837{col 67}{space 3} .1425667
{txt}c_tfull_ed~r {c |}{col 14}{res}{space 2} .0095071{col 26}{space 2} .0036039{col 37}{space 1}    2.64{col 46}{space 3}0.009{col 54}{space 4} .0023975{col 67}{space 3} .0166168
{txt}c_tfull_b_~x {c |}{col 14}{res}{space 2} .0444258{col 26}{space 2} .0162695{col 37}{space 1}    2.73{col 46}{space 3}0.007{col 54}{space 4} .0123293{col 67}{space 3} .0765224
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} -.511236{col 26}{space 2} .0224249{col 37}{space 1}  -22.80{col 46}{space 3}0.000{col 54}{space 4}-.5554759{col 67}{space 3}-.4669962
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull = .05{p_end}

{txt}       F(  1,   186) ={res}    3.68
{txt}{col 13}Prob > F ={res}    0.0566

{p 0 7}{space 1}{text:( 1)}{space 1} treatfull = -.05{p_end}

{txt}       F(  1,   186) ={res}    3.01
{txt}{col 13}Prob > F ={res}    0.0844

{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}     4,930
{txt}{col 49}F({res}   9{txt},{res}    186{txt}){col 67}= {res}     77.06
{txt}{col 49}Prob > F{col 67}= {res}    0.0000
{txt}{col 49}R-squared{col 67}= {res}    0.1110
{txt}{col 49}Adj R-squared{col 67}= {res}    0.1066
{txt}{col 49}Root MSE{col 67}= {res}    0.8984

{txt}{ralign 78:(Std. Err. adjusted for {res:187} clusters in hc_id)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}e_healthou~z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2}-.0025068{col 26}{space 2} .0273728{col 37}{space 1}   -0.09{col 46}{space 3}0.927{col 54}{space 4}-.0565079{col 67}{space 3} .0514943
{txt}b_healthou~z {c |}{col 14}{res}{space 2} .1301056{col 26}{space 2} .0158563{col 37}{space 1}    8.21{col 46}{space 3}0.000{col 54}{space 4} .0988243{col 67}{space 3}  .161387
{txt}b_healthou~d {c |}{col 14}{res}{space 2} .6767453{col 26}{space 2} .0268257{col 37}{space 1}   25.23{col 46}{space 3}0.000{col 54}{space 4} .6238235{col 67}{space 3}  .729667
{txt}{space 1}c_tfull_hc2 {c |}{col 14}{res}{space 2}-.0150939{col 26}{space 2} .0391048{col 37}{space 1}   -0.39{col 46}{space 3}0.700{col 54}{space 4}-.0922398{col 67}{space 3}  .062052
{txt}c_tfull_b_~l {c |}{col 14}{res}{space 2}-.0461058{col 26}{space 2} .0434625{col 37}{space 1}   -1.06{col 46}{space 3}0.290{col 54}{space 4}-.1318486{col 67}{space 3} .0396371
{txt}c_tfull_b_~s {c |}{col 14}{res}{space 2}-.0395781{col 26}{space 2} .0495328{col 37}{space 1}   -0.80{col 46}{space 3}0.425{col 54}{space 4}-.1372963{col 67}{space 3} .0581402
{txt}c_tfull_b_~d {c |}{col 14}{res}{space 2} .0312915{col 26}{space 2} .0564047{col 37}{space 1}    0.55{col 46}{space 3}0.580{col 54}{space 4}-.0799837{col 67}{space 3} .1425667
{txt}c_tfull_ed~r {c |}{col 14}{res}{space 2} .0095071{col 26}{space 2} .0036039{col 37}{space 1}    2.64{col 46}{space 3}0.009{col 54}{space 4} .0023975{col 67}{space 3} .0166168
{txt}c_tfull_b_~x {c |}{col 14}{res}{space 2} .0444258{col 26}{space 2} .0162695{col 37}{space 1}    2.73{col 46}{space 3}0.007{col 54}{space 4} .0123293{col 67}{space 3} .0765224
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} -.511236{col 26}{space 2} .0224249{col 37}{space 1}  -22.80{col 46}{space 3}0.000{col 54}{space 4}-.5554759{col 67}{space 3}-.4669962
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull = .051{p_end}

{txt}       F(  1,   186) ={res}    3.82
{txt}{col 13}Prob > F ={res}    0.0521

{p 0 7}{space 1}{text:( 1)}{space 1} treatfull = -.051{p_end}

{txt}       F(  1,   186) ={res}    3.14
{txt}{col 13}Prob > F ={res}    0.0781

{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}     4,930
{txt}{col 49}F({res}   9{txt},{res}    186{txt}){col 67}= {res}     77.06
{txt}{col 49}Prob > F{col 67}= {res}    0.0000
{txt}{col 49}R-squared{col 67}= {res}    0.1110
{txt}{col 49}Adj R-squared{col 67}= {res}    0.1066
{txt}{col 49}Root MSE{col 67}= {res}    0.8984

{txt}{ralign 78:(Std. Err. adjusted for {res:187} clusters in hc_id)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}e_healthou~z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2}-.0025068{col 26}{space 2} .0273728{col 37}{space 1}   -0.09{col 46}{space 3}0.927{col 54}{space 4}-.0565079{col 67}{space 3} .0514943
{txt}b_healthou~z {c |}{col 14}{res}{space 2} .1301056{col 26}{space 2} .0158563{col 37}{space 1}    8.21{col 46}{space 3}0.000{col 54}{space 4} .0988243{col 67}{space 3}  .161387
{txt}b_healthou~d {c |}{col 14}{res}{space 2} .6767453{col 26}{space 2} .0268257{col 37}{space 1}   25.23{col 46}{space 3}0.000{col 54}{space 4} .6238235{col 67}{space 3}  .729667
{txt}{space 1}c_tfull_hc2 {c |}{col 14}{res}{space 2}-.0150939{col 26}{space 2} .0391048{col 37}{space 1}   -0.39{col 46}{space 3}0.700{col 54}{space 4}-.0922398{col 67}{space 3}  .062052
{txt}c_tfull_b_~l {c |}{col 14}{res}{space 2}-.0461058{col 26}{space 2} .0434625{col 37}{space 1}   -1.06{col 46}{space 3}0.290{col 54}{space 4}-.1318486{col 67}{space 3} .0396371
{txt}c_tfull_b_~s {c |}{col 14}{res}{space 2}-.0395781{col 26}{space 2} .0495328{col 37}{space 1}   -0.80{col 46}{space 3}0.425{col 54}{space 4}-.1372963{col 67}{space 3} .0581402
{txt}c_tfull_b_~d {c |}{col 14}{res}{space 2} .0312915{col 26}{space 2} .0564047{col 37}{space 1}    0.55{col 46}{space 3}0.580{col 54}{space 4}-.0799837{col 67}{space 3} .1425667
{txt}c_tfull_ed~r {c |}{col 14}{res}{space 2} .0095071{col 26}{space 2} .0036039{col 37}{space 1}    2.64{col 46}{space 3}0.009{col 54}{space 4} .0023975{col 67}{space 3} .0166168
{txt}c_tfull_b_~x {c |}{col 14}{res}{space 2} .0444258{col 26}{space 2} .0162695{col 37}{space 1}    2.73{col 46}{space 3}0.007{col 54}{space 4} .0123293{col 67}{space 3} .0765224
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} -.511236{col 26}{space 2} .0224249{col 37}{space 1}  -22.80{col 46}{space 3}0.000{col 54}{space 4}-.5554759{col 67}{space 3}-.4669962
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull = .052{p_end}

{txt}       F(  1,   186) ={res}    3.97
{txt}{col 13}Prob > F ={res}    0.0479

{p 0 7}{space 1}{text:( 1)}{space 1} treatfull = -.052{p_end}

{txt}       F(  1,   186) ={res}    3.27
{txt}{col 13}Prob > F ={res}    0.0722

{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}     4,930
{txt}{col 49}F({res}   9{txt},{res}    186{txt}){col 67}= {res}     77.06
{txt}{col 49}Prob > F{col 67}= {res}    0.0000
{txt}{col 49}R-squared{col 67}= {res}    0.1110
{txt}{col 49}Adj R-squared{col 67}= {res}    0.1066
{txt}{col 49}Root MSE{col 67}= {res}    0.8984

{txt}{ralign 78:(Std. Err. adjusted for {res:187} clusters in hc_id)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}e_healthou~z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2}-.0025068{col 26}{space 2} .0273728{col 37}{space 1}   -0.09{col 46}{space 3}0.927{col 54}{space 4}-.0565079{col 67}{space 3} .0514943
{txt}b_healthou~z {c |}{col 14}{res}{space 2} .1301056{col 26}{space 2} .0158563{col 37}{space 1}    8.21{col 46}{space 3}0.000{col 54}{space 4} .0988243{col 67}{space 3}  .161387
{txt}b_healthou~d {c |}{col 14}{res}{space 2} .6767453{col 26}{space 2} .0268257{col 37}{space 1}   25.23{col 46}{space 3}0.000{col 54}{space 4} .6238235{col 67}{space 3}  .729667
{txt}{space 1}c_tfull_hc2 {c |}{col 14}{res}{space 2}-.0150939{col 26}{space 2} .0391048{col 37}{space 1}   -0.39{col 46}{space 3}0.700{col 54}{space 4}-.0922398{col 67}{space 3}  .062052
{txt}c_tfull_b_~l {c |}{col 14}{res}{space 2}-.0461058{col 26}{space 2} .0434625{col 37}{space 1}   -1.06{col 46}{space 3}0.290{col 54}{space 4}-.1318486{col 67}{space 3} .0396371
{txt}c_tfull_b_~s {c |}{col 14}{res}{space 2}-.0395781{col 26}{space 2} .0495328{col 37}{space 1}   -0.80{col 46}{space 3}0.425{col 54}{space 4}-.1372963{col 67}{space 3} .0581402
{txt}c_tfull_b_~d {c |}{col 14}{res}{space 2} .0312915{col 26}{space 2} .0564047{col 37}{space 1}    0.55{col 46}{space 3}0.580{col 54}{space 4}-.0799837{col 67}{space 3} .1425667
{txt}c_tfull_ed~r {c |}{col 14}{res}{space 2} .0095071{col 26}{space 2} .0036039{col 37}{space 1}    2.64{col 46}{space 3}0.009{col 54}{space 4} .0023975{col 67}{space 3} .0166168
{txt}c_tfull_b_~x {c |}{col 14}{res}{space 2} .0444258{col 26}{space 2} .0162695{col 37}{space 1}    2.73{col 46}{space 3}0.007{col 54}{space 4} .0123293{col 67}{space 3} .0765224
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} -.511236{col 26}{space 2} .0224249{col 37}{space 1}  -22.80{col 46}{space 3}0.000{col 54}{space 4}-.5554759{col 67}{space 3}-.4669962
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull = .053{p_end}

{txt}       F(  1,   186) ={res}    4.11
{txt}{col 13}Prob > F ={res}    0.0440

{p 0 7}{space 1}{text:( 1)}{space 1} treatfull = -.053{p_end}

{txt}       F(  1,   186) ={res}    3.40
{txt}{col 13}Prob > F ={res}    0.0667

{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}     4,930
{txt}{col 49}F({res}   9{txt},{res}    186{txt}){col 67}= {res}     77.06
{txt}{col 49}Prob > F{col 67}= {res}    0.0000
{txt}{col 49}R-squared{col 67}= {res}    0.1110
{txt}{col 49}Adj R-squared{col 67}= {res}    0.1066
{txt}{col 49}Root MSE{col 67}= {res}    0.8984

{txt}{ralign 78:(Std. Err. adjusted for {res:187} clusters in hc_id)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}e_healthou~z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2}-.0025068{col 26}{space 2} .0273728{col 37}{space 1}   -0.09{col 46}{space 3}0.927{col 54}{space 4}-.0565079{col 67}{space 3} .0514943
{txt}b_healthou~z {c |}{col 14}{res}{space 2} .1301056{col 26}{space 2} .0158563{col 37}{space 1}    8.21{col 46}{space 3}0.000{col 54}{space 4} .0988243{col 67}{space 3}  .161387
{txt}b_healthou~d {c |}{col 14}{res}{space 2} .6767453{col 26}{space 2} .0268257{col 37}{space 1}   25.23{col 46}{space 3}0.000{col 54}{space 4} .6238235{col 67}{space 3}  .729667
{txt}{space 1}c_tfull_hc2 {c |}{col 14}{res}{space 2}-.0150939{col 26}{space 2} .0391048{col 37}{space 1}   -0.39{col 46}{space 3}0.700{col 54}{space 4}-.0922398{col 67}{space 3}  .062052
{txt}c_tfull_b_~l {c |}{col 14}{res}{space 2}-.0461058{col 26}{space 2} .0434625{col 37}{space 1}   -1.06{col 46}{space 3}0.290{col 54}{space 4}-.1318486{col 67}{space 3} .0396371
{txt}c_tfull_b_~s {c |}{col 14}{res}{space 2}-.0395781{col 26}{space 2} .0495328{col 37}{space 1}   -0.80{col 46}{space 3}0.425{col 54}{space 4}-.1372963{col 67}{space 3} .0581402
{txt}c_tfull_b_~d {c |}{col 14}{res}{space 2} .0312915{col 26}{space 2} .0564047{col 37}{space 1}    0.55{col 46}{space 3}0.580{col 54}{space 4}-.0799837{col 67}{space 3} .1425667
{txt}c_tfull_ed~r {c |}{col 14}{res}{space 2} .0095071{col 26}{space 2} .0036039{col 37}{space 1}    2.64{col 46}{space 3}0.009{col 54}{space 4} .0023975{col 67}{space 3} .0166168
{txt}c_tfull_b_~x {c |}{col 14}{res}{space 2} .0444258{col 26}{space 2} .0162695{col 37}{space 1}    2.73{col 46}{space 3}0.007{col 54}{space 4} .0123293{col 67}{space 3} .0765224
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} -.511236{col 26}{space 2} .0224249{col 37}{space 1}  -22.80{col 46}{space 3}0.000{col 54}{space 4}-.5554759{col 67}{space 3}-.4669962
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull = .054{p_end}

{txt}       F(  1,   186) ={res}    4.26
{txt}{col 13}Prob > F ={res}    0.0404

{p 0 7}{space 1}{text:( 1)}{space 1} treatfull = -.054{p_end}

{txt}       F(  1,   186) ={res}    3.54
{txt}{col 13}Prob > F ={res}    0.0615

{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}     4,930
{txt}{col 49}F({res}   9{txt},{res}    186{txt}){col 67}= {res}     77.06
{txt}{col 49}Prob > F{col 67}= {res}    0.0000
{txt}{col 49}R-squared{col 67}= {res}    0.1110
{txt}{col 49}Adj R-squared{col 67}= {res}    0.1066
{txt}{col 49}Root MSE{col 67}= {res}    0.8984

{txt}{ralign 78:(Std. Err. adjusted for {res:187} clusters in hc_id)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}e_healthou~z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2}-.0025068{col 26}{space 2} .0273728{col 37}{space 1}   -0.09{col 46}{space 3}0.927{col 54}{space 4}-.0565079{col 67}{space 3} .0514943
{txt}b_healthou~z {c |}{col 14}{res}{space 2} .1301056{col 26}{space 2} .0158563{col 37}{space 1}    8.21{col 46}{space 3}0.000{col 54}{space 4} .0988243{col 67}{space 3}  .161387
{txt}b_healthou~d {c |}{col 14}{res}{space 2} .6767453{col 26}{space 2} .0268257{col 37}{space 1}   25.23{col 46}{space 3}0.000{col 54}{space 4} .6238235{col 67}{space 3}  .729667
{txt}{space 1}c_tfull_hc2 {c |}{col 14}{res}{space 2}-.0150939{col 26}{space 2} .0391048{col 37}{space 1}   -0.39{col 46}{space 3}0.700{col 54}{space 4}-.0922398{col 67}{space 3}  .062052
{txt}c_tfull_b_~l {c |}{col 14}{res}{space 2}-.0461058{col 26}{space 2} .0434625{col 37}{space 1}   -1.06{col 46}{space 3}0.290{col 54}{space 4}-.1318486{col 67}{space 3} .0396371
{txt}c_tfull_b_~s {c |}{col 14}{res}{space 2}-.0395781{col 26}{space 2} .0495328{col 37}{space 1}   -0.80{col 46}{space 3}0.425{col 54}{space 4}-.1372963{col 67}{space 3} .0581402
{txt}c_tfull_b_~d {c |}{col 14}{res}{space 2} .0312915{col 26}{space 2} .0564047{col 37}{space 1}    0.55{col 46}{space 3}0.580{col 54}{space 4}-.0799837{col 67}{space 3} .1425667
{txt}c_tfull_ed~r {c |}{col 14}{res}{space 2} .0095071{col 26}{space 2} .0036039{col 37}{space 1}    2.64{col 46}{space 3}0.009{col 54}{space 4} .0023975{col 67}{space 3} .0166168
{txt}c_tfull_b_~x {c |}{col 14}{res}{space 2} .0444258{col 26}{space 2} .0162695{col 37}{space 1}    2.73{col 46}{space 3}0.007{col 54}{space 4} .0123293{col 67}{space 3} .0765224
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} -.511236{col 26}{space 2} .0224249{col 37}{space 1}  -22.80{col 46}{space 3}0.000{col 54}{space 4}-.5554759{col 67}{space 3}-.4669962
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull = .055{p_end}

{txt}       F(  1,   186) ={res}    4.41
{txt}{col 13}Prob > F ={res}    0.0370

{p 0 7}{space 1}{text:( 1)}{space 1} treatfull = -.055{p_end}

{txt}       F(  1,   186) ={res}    3.68
{txt}{col 13}Prob > F ={res}    0.0567

{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}     4,930
{txt}{col 49}F({res}   9{txt},{res}    186{txt}){col 67}= {res}     77.06
{txt}{col 49}Prob > F{col 67}= {res}    0.0000
{txt}{col 49}R-squared{col 67}= {res}    0.1110
{txt}{col 49}Adj R-squared{col 67}= {res}    0.1066
{txt}{col 49}Root MSE{col 67}= {res}    0.8984

{txt}{ralign 78:(Std. Err. adjusted for {res:187} clusters in hc_id)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}e_healthou~z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2}-.0025068{col 26}{space 2} .0273728{col 37}{space 1}   -0.09{col 46}{space 3}0.927{col 54}{space 4}-.0565079{col 67}{space 3} .0514943
{txt}b_healthou~z {c |}{col 14}{res}{space 2} .1301056{col 26}{space 2} .0158563{col 37}{space 1}    8.21{col 46}{space 3}0.000{col 54}{space 4} .0988243{col 67}{space 3}  .161387
{txt}b_healthou~d {c |}{col 14}{res}{space 2} .6767453{col 26}{space 2} .0268257{col 37}{space 1}   25.23{col 46}{space 3}0.000{col 54}{space 4} .6238235{col 67}{space 3}  .729667
{txt}{space 1}c_tfull_hc2 {c |}{col 14}{res}{space 2}-.0150939{col 26}{space 2} .0391048{col 37}{space 1}   -0.39{col 46}{space 3}0.700{col 54}{space 4}-.0922398{col 67}{space 3}  .062052
{txt}c_tfull_b_~l {c |}{col 14}{res}{space 2}-.0461058{col 26}{space 2} .0434625{col 37}{space 1}   -1.06{col 46}{space 3}0.290{col 54}{space 4}-.1318486{col 67}{space 3} .0396371
{txt}c_tfull_b_~s {c |}{col 14}{res}{space 2}-.0395781{col 26}{space 2} .0495328{col 37}{space 1}   -0.80{col 46}{space 3}0.425{col 54}{space 4}-.1372963{col 67}{space 3} .0581402
{txt}c_tfull_b_~d {c |}{col 14}{res}{space 2} .0312915{col 26}{space 2} .0564047{col 37}{space 1}    0.55{col 46}{space 3}0.580{col 54}{space 4}-.0799837{col 67}{space 3} .1425667
{txt}c_tfull_ed~r {c |}{col 14}{res}{space 2} .0095071{col 26}{space 2} .0036039{col 37}{space 1}    2.64{col 46}{space 3}0.009{col 54}{space 4} .0023975{col 67}{space 3} .0166168
{txt}c_tfull_b_~x {c |}{col 14}{res}{space 2} .0444258{col 26}{space 2} .0162695{col 37}{space 1}    2.73{col 46}{space 3}0.007{col 54}{space 4} .0123293{col 67}{space 3} .0765224
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} -.511236{col 26}{space 2} .0224249{col 37}{space 1}  -22.80{col 46}{space 3}0.000{col 54}{space 4}-.5554759{col 67}{space 3}-.4669962
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull = .056{p_end}

{txt}       F(  1,   186) ={res}    4.57
{txt}{col 13}Prob > F ={res}    0.0339

{p 0 7}{space 1}{text:( 1)}{space 1} treatfull = -.056{p_end}

{txt}       F(  1,   186) ={res}    3.82
{txt}{col 13}Prob > F ={res}    0.0522

{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}     4,930
{txt}{col 49}F({res}   9{txt},{res}    186{txt}){col 67}= {res}     77.06
{txt}{col 49}Prob > F{col 67}= {res}    0.0000
{txt}{col 49}R-squared{col 67}= {res}    0.1110
{txt}{col 49}Adj R-squared{col 67}= {res}    0.1066
{txt}{col 49}Root MSE{col 67}= {res}    0.8984

{txt}{ralign 78:(Std. Err. adjusted for {res:187} clusters in hc_id)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}e_healthou~z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2}-.0025068{col 26}{space 2} .0273728{col 37}{space 1}   -0.09{col 46}{space 3}0.927{col 54}{space 4}-.0565079{col 67}{space 3} .0514943
{txt}b_healthou~z {c |}{col 14}{res}{space 2} .1301056{col 26}{space 2} .0158563{col 37}{space 1}    8.21{col 46}{space 3}0.000{col 54}{space 4} .0988243{col 67}{space 3}  .161387
{txt}b_healthou~d {c |}{col 14}{res}{space 2} .6767453{col 26}{space 2} .0268257{col 37}{space 1}   25.23{col 46}{space 3}0.000{col 54}{space 4} .6238235{col 67}{space 3}  .729667
{txt}{space 1}c_tfull_hc2 {c |}{col 14}{res}{space 2}-.0150939{col 26}{space 2} .0391048{col 37}{space 1}   -0.39{col 46}{space 3}0.700{col 54}{space 4}-.0922398{col 67}{space 3}  .062052
{txt}c_tfull_b_~l {c |}{col 14}{res}{space 2}-.0461058{col 26}{space 2} .0434625{col 37}{space 1}   -1.06{col 46}{space 3}0.290{col 54}{space 4}-.1318486{col 67}{space 3} .0396371
{txt}c_tfull_b_~s {c |}{col 14}{res}{space 2}-.0395781{col 26}{space 2} .0495328{col 37}{space 1}   -0.80{col 46}{space 3}0.425{col 54}{space 4}-.1372963{col 67}{space 3} .0581402
{txt}c_tfull_b_~d {c |}{col 14}{res}{space 2} .0312915{col 26}{space 2} .0564047{col 37}{space 1}    0.55{col 46}{space 3}0.580{col 54}{space 4}-.0799837{col 67}{space 3} .1425667
{txt}c_tfull_ed~r {c |}{col 14}{res}{space 2} .0095071{col 26}{space 2} .0036039{col 37}{space 1}    2.64{col 46}{space 3}0.009{col 54}{space 4} .0023975{col 67}{space 3} .0166168
{txt}c_tfull_b_~x {c |}{col 14}{res}{space 2} .0444258{col 26}{space 2} .0162695{col 37}{space 1}    2.73{col 46}{space 3}0.007{col 54}{space 4} .0123293{col 67}{space 3} .0765224
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} -.511236{col 26}{space 2} .0224249{col 37}{space 1}  -22.80{col 46}{space 3}0.000{col 54}{space 4}-.5554759{col 67}{space 3}-.4669962
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull = .057{p_end}

{txt}       F(  1,   186) ={res}    4.73
{txt}{col 13}Prob > F ={res}    0.0310

{p 0 7}{space 1}{text:( 1)}{space 1} treatfull = -.057{p_end}

{txt}       F(  1,   186) ={res}    3.96
{txt}{col 13}Prob > F ={res}    0.0480

{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}     4,930
{txt}{col 49}F({res}   9{txt},{res}    186{txt}){col 67}= {res}     77.06
{txt}{col 49}Prob > F{col 67}= {res}    0.0000
{txt}{col 49}R-squared{col 67}= {res}    0.1110
{txt}{col 49}Adj R-squared{col 67}= {res}    0.1066
{txt}{col 49}Root MSE{col 67}= {res}    0.8984

{txt}{ralign 78:(Std. Err. adjusted for {res:187} clusters in hc_id)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}e_healthou~z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2}-.0025068{col 26}{space 2} .0273728{col 37}{space 1}   -0.09{col 46}{space 3}0.927{col 54}{space 4}-.0565079{col 67}{space 3} .0514943
{txt}b_healthou~z {c |}{col 14}{res}{space 2} .1301056{col 26}{space 2} .0158563{col 37}{space 1}    8.21{col 46}{space 3}0.000{col 54}{space 4} .0988243{col 67}{space 3}  .161387
{txt}b_healthou~d {c |}{col 14}{res}{space 2} .6767453{col 26}{space 2} .0268257{col 37}{space 1}   25.23{col 46}{space 3}0.000{col 54}{space 4} .6238235{col 67}{space 3}  .729667
{txt}{space 1}c_tfull_hc2 {c |}{col 14}{res}{space 2}-.0150939{col 26}{space 2} .0391048{col 37}{space 1}   -0.39{col 46}{space 3}0.700{col 54}{space 4}-.0922398{col 67}{space 3}  .062052
{txt}c_tfull_b_~l {c |}{col 14}{res}{space 2}-.0461058{col 26}{space 2} .0434625{col 37}{space 1}   -1.06{col 46}{space 3}0.290{col 54}{space 4}-.1318486{col 67}{space 3} .0396371
{txt}c_tfull_b_~s {c |}{col 14}{res}{space 2}-.0395781{col 26}{space 2} .0495328{col 37}{space 1}   -0.80{col 46}{space 3}0.425{col 54}{space 4}-.1372963{col 67}{space 3} .0581402
{txt}c_tfull_b_~d {c |}{col 14}{res}{space 2} .0312915{col 26}{space 2} .0564047{col 37}{space 1}    0.55{col 46}{space 3}0.580{col 54}{space 4}-.0799837{col 67}{space 3} .1425667
{txt}c_tfull_ed~r {c |}{col 14}{res}{space 2} .0095071{col 26}{space 2} .0036039{col 37}{space 1}    2.64{col 46}{space 3}0.009{col 54}{space 4} .0023975{col 67}{space 3} .0166168
{txt}c_tfull_b_~x {c |}{col 14}{res}{space 2} .0444258{col 26}{space 2} .0162695{col 37}{space 1}    2.73{col 46}{space 3}0.007{col 54}{space 4} .0123293{col 67}{space 3} .0765224
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} -.511236{col 26}{space 2} .0224249{col 37}{space 1}  -22.80{col 46}{space 3}0.000{col 54}{space 4}-.5554759{col 67}{space 3}-.4669962
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull = .058{p_end}

{txt}       F(  1,   186) ={res}    4.89
{txt}{col 13}Prob > F ={res}    0.0283

{p 0 7}{space 1}{text:( 1)}{space 1} treatfull = -.058{p_end}

{txt}       F(  1,   186) ={res}    4.11
{txt}{col 13}Prob > F ={res}    0.0441

{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}     4,930
{txt}{col 49}F({res}   9{txt},{res}    186{txt}){col 67}= {res}     77.06
{txt}{col 49}Prob > F{col 67}= {res}    0.0000
{txt}{col 49}R-squared{col 67}= {res}    0.1110
{txt}{col 49}Adj R-squared{col 67}= {res}    0.1066
{txt}{col 49}Root MSE{col 67}= {res}    0.8984

{txt}{ralign 78:(Std. Err. adjusted for {res:187} clusters in hc_id)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}e_healthou~z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2}-.0025068{col 26}{space 2} .0273728{col 37}{space 1}   -0.09{col 46}{space 3}0.927{col 54}{space 4}-.0565079{col 67}{space 3} .0514943
{txt}b_healthou~z {c |}{col 14}{res}{space 2} .1301056{col 26}{space 2} .0158563{col 37}{space 1}    8.21{col 46}{space 3}0.000{col 54}{space 4} .0988243{col 67}{space 3}  .161387
{txt}b_healthou~d {c |}{col 14}{res}{space 2} .6767453{col 26}{space 2} .0268257{col 37}{space 1}   25.23{col 46}{space 3}0.000{col 54}{space 4} .6238235{col 67}{space 3}  .729667
{txt}{space 1}c_tfull_hc2 {c |}{col 14}{res}{space 2}-.0150939{col 26}{space 2} .0391048{col 37}{space 1}   -0.39{col 46}{space 3}0.700{col 54}{space 4}-.0922398{col 67}{space 3}  .062052
{txt}c_tfull_b_~l {c |}{col 14}{res}{space 2}-.0461058{col 26}{space 2} .0434625{col 37}{space 1}   -1.06{col 46}{space 3}0.290{col 54}{space 4}-.1318486{col 67}{space 3} .0396371
{txt}c_tfull_b_~s {c |}{col 14}{res}{space 2}-.0395781{col 26}{space 2} .0495328{col 37}{space 1}   -0.80{col 46}{space 3}0.425{col 54}{space 4}-.1372963{col 67}{space 3} .0581402
{txt}c_tfull_b_~d {c |}{col 14}{res}{space 2} .0312915{col 26}{space 2} .0564047{col 37}{space 1}    0.55{col 46}{space 3}0.580{col 54}{space 4}-.0799837{col 67}{space 3} .1425667
{txt}c_tfull_ed~r {c |}{col 14}{res}{space 2} .0095071{col 26}{space 2} .0036039{col 37}{space 1}    2.64{col 46}{space 3}0.009{col 54}{space 4} .0023975{col 67}{space 3} .0166168
{txt}c_tfull_b_~x {c |}{col 14}{res}{space 2} .0444258{col 26}{space 2} .0162695{col 37}{space 1}    2.73{col 46}{space 3}0.007{col 54}{space 4} .0123293{col 67}{space 3} .0765224
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} -.511236{col 26}{space 2} .0224249{col 37}{space 1}  -22.80{col 46}{space 3}0.000{col 54}{space 4}-.5554759{col 67}{space 3}-.4669962
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull = .059{p_end}

{txt}       F(  1,   186) ={res}    5.05
{txt}{col 13}Prob > F ={res}    0.0258

{p 0 7}{space 1}{text:( 1)}{space 1} treatfull = -.059{p_end}

{txt}       F(  1,   186) ={res}    4.26
{txt}{col 13}Prob > F ={res}    0.0404

{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}     4,930
{txt}{col 49}F({res}   9{txt},{res}    186{txt}){col 67}= {res}     77.06
{txt}{col 49}Prob > F{col 67}= {res}    0.0000
{txt}{col 49}R-squared{col 67}= {res}    0.1110
{txt}{col 49}Adj R-squared{col 67}= {res}    0.1066
{txt}{col 49}Root MSE{col 67}= {res}    0.8984

{txt}{ralign 78:(Std. Err. adjusted for {res:187} clusters in hc_id)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}e_healthou~z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2}-.0025068{col 26}{space 2} .0273728{col 37}{space 1}   -0.09{col 46}{space 3}0.927{col 54}{space 4}-.0565079{col 67}{space 3} .0514943
{txt}b_healthou~z {c |}{col 14}{res}{space 2} .1301056{col 26}{space 2} .0158563{col 37}{space 1}    8.21{col 46}{space 3}0.000{col 54}{space 4} .0988243{col 67}{space 3}  .161387
{txt}b_healthou~d {c |}{col 14}{res}{space 2} .6767453{col 26}{space 2} .0268257{col 37}{space 1}   25.23{col 46}{space 3}0.000{col 54}{space 4} .6238235{col 67}{space 3}  .729667
{txt}{space 1}c_tfull_hc2 {c |}{col 14}{res}{space 2}-.0150939{col 26}{space 2} .0391048{col 37}{space 1}   -0.39{col 46}{space 3}0.700{col 54}{space 4}-.0922398{col 67}{space 3}  .062052
{txt}c_tfull_b_~l {c |}{col 14}{res}{space 2}-.0461058{col 26}{space 2} .0434625{col 37}{space 1}   -1.06{col 46}{space 3}0.290{col 54}{space 4}-.1318486{col 67}{space 3} .0396371
{txt}c_tfull_b_~s {c |}{col 14}{res}{space 2}-.0395781{col 26}{space 2} .0495328{col 37}{space 1}   -0.80{col 46}{space 3}0.425{col 54}{space 4}-.1372963{col 67}{space 3} .0581402
{txt}c_tfull_b_~d {c |}{col 14}{res}{space 2} .0312915{col 26}{space 2} .0564047{col 37}{space 1}    0.55{col 46}{space 3}0.580{col 54}{space 4}-.0799837{col 67}{space 3} .1425667
{txt}c_tfull_ed~r {c |}{col 14}{res}{space 2} .0095071{col 26}{space 2} .0036039{col 37}{space 1}    2.64{col 46}{space 3}0.009{col 54}{space 4} .0023975{col 67}{space 3} .0166168
{txt}c_tfull_b_~x {c |}{col 14}{res}{space 2} .0444258{col 26}{space 2} .0162695{col 37}{space 1}    2.73{col 46}{space 3}0.007{col 54}{space 4} .0123293{col 67}{space 3} .0765224
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} -.511236{col 26}{space 2} .0224249{col 37}{space 1}  -22.80{col 46}{space 3}0.000{col 54}{space 4}-.5554759{col 67}{space 3}-.4669962
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull = .06{p_end}

{txt}       F(  1,   186) ={res}    5.21
{txt}{col 13}Prob > F ={res}    0.0235

{p 0 7}{space 1}{text:( 1)}{space 1} treatfull = -.06{p_end}

{txt}       F(  1,   186) ={res}    4.41
{txt}{col 13}Prob > F ={res}    0.0370

{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}     4,930
{txt}{col 49}F({res}   9{txt},{res}    186{txt}){col 67}= {res}     77.06
{txt}{col 49}Prob > F{col 67}= {res}    0.0000
{txt}{col 49}R-squared{col 67}= {res}    0.1110
{txt}{col 49}Adj R-squared{col 67}= {res}    0.1066
{txt}{col 49}Root MSE{col 67}= {res}    0.8984

{txt}{ralign 78:(Std. Err. adjusted for {res:187} clusters in hc_id)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}e_healthou~z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2}-.0025068{col 26}{space 2} .0273728{col 37}{space 1}   -0.09{col 46}{space 3}0.927{col 54}{space 4}-.0565079{col 67}{space 3} .0514943
{txt}b_healthou~z {c |}{col 14}{res}{space 2} .1301056{col 26}{space 2} .0158563{col 37}{space 1}    8.21{col 46}{space 3}0.000{col 54}{space 4} .0988243{col 67}{space 3}  .161387
{txt}b_healthou~d {c |}{col 14}{res}{space 2} .6767453{col 26}{space 2} .0268257{col 37}{space 1}   25.23{col 46}{space 3}0.000{col 54}{space 4} .6238235{col 67}{space 3}  .729667
{txt}{space 1}c_tfull_hc2 {c |}{col 14}{res}{space 2}-.0150939{col 26}{space 2} .0391048{col 37}{space 1}   -0.39{col 46}{space 3}0.700{col 54}{space 4}-.0922398{col 67}{space 3}  .062052
{txt}c_tfull_b_~l {c |}{col 14}{res}{space 2}-.0461058{col 26}{space 2} .0434625{col 37}{space 1}   -1.06{col 46}{space 3}0.290{col 54}{space 4}-.1318486{col 67}{space 3} .0396371
{txt}c_tfull_b_~s {c |}{col 14}{res}{space 2}-.0395781{col 26}{space 2} .0495328{col 37}{space 1}   -0.80{col 46}{space 3}0.425{col 54}{space 4}-.1372963{col 67}{space 3} .0581402
{txt}c_tfull_b_~d {c |}{col 14}{res}{space 2} .0312915{col 26}{space 2} .0564047{col 37}{space 1}    0.55{col 46}{space 3}0.580{col 54}{space 4}-.0799837{col 67}{space 3} .1425667
{txt}c_tfull_ed~r {c |}{col 14}{res}{space 2} .0095071{col 26}{space 2} .0036039{col 37}{space 1}    2.64{col 46}{space 3}0.009{col 54}{space 4} .0023975{col 67}{space 3} .0166168
{txt}c_tfull_b_~x {c |}{col 14}{res}{space 2} .0444258{col 26}{space 2} .0162695{col 37}{space 1}    2.73{col 46}{space 3}0.007{col 54}{space 4} .0123293{col 67}{space 3} .0765224
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} -.511236{col 26}{space 2} .0224249{col 37}{space 1}  -22.80{col 46}{space 3}0.000{col 54}{space 4}-.5554759{col 67}{space 3}-.4669962
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull = .061{p_end}

{txt}       F(  1,   186) ={res}    5.38
{txt}{col 13}Prob > F ={res}    0.0214

{p 0 7}{space 1}{text:( 1)}{space 1} treatfull = -.061{p_end}

{txt}       F(  1,   186) ={res}    4.57
{txt}{col 13}Prob > F ={res}    0.0339

{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}     4,930
{txt}{col 49}F({res}   9{txt},{res}    186{txt}){col 67}= {res}     77.06
{txt}{col 49}Prob > F{col 67}= {res}    0.0000
{txt}{col 49}R-squared{col 67}= {res}    0.1110
{txt}{col 49}Adj R-squared{col 67}= {res}    0.1066
{txt}{col 49}Root MSE{col 67}= {res}    0.8984

{txt}{ralign 78:(Std. Err. adjusted for {res:187} clusters in hc_id)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}e_healthou~z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2}-.0025068{col 26}{space 2} .0273728{col 37}{space 1}   -0.09{col 46}{space 3}0.927{col 54}{space 4}-.0565079{col 67}{space 3} .0514943
{txt}b_healthou~z {c |}{col 14}{res}{space 2} .1301056{col 26}{space 2} .0158563{col 37}{space 1}    8.21{col 46}{space 3}0.000{col 54}{space 4} .0988243{col 67}{space 3}  .161387
{txt}b_healthou~d {c |}{col 14}{res}{space 2} .6767453{col 26}{space 2} .0268257{col 37}{space 1}   25.23{col 46}{space 3}0.000{col 54}{space 4} .6238235{col 67}{space 3}  .729667
{txt}{space 1}c_tfull_hc2 {c |}{col 14}{res}{space 2}-.0150939{col 26}{space 2} .0391048{col 37}{space 1}   -0.39{col 46}{space 3}0.700{col 54}{space 4}-.0922398{col 67}{space 3}  .062052
{txt}c_tfull_b_~l {c |}{col 14}{res}{space 2}-.0461058{col 26}{space 2} .0434625{col 37}{space 1}   -1.06{col 46}{space 3}0.290{col 54}{space 4}-.1318486{col 67}{space 3} .0396371
{txt}c_tfull_b_~s {c |}{col 14}{res}{space 2}-.0395781{col 26}{space 2} .0495328{col 37}{space 1}   -0.80{col 46}{space 3}0.425{col 54}{space 4}-.1372963{col 67}{space 3} .0581402
{txt}c_tfull_b_~d {c |}{col 14}{res}{space 2} .0312915{col 26}{space 2} .0564047{col 37}{space 1}    0.55{col 46}{space 3}0.580{col 54}{space 4}-.0799837{col 67}{space 3} .1425667
{txt}c_tfull_ed~r {c |}{col 14}{res}{space 2} .0095071{col 26}{space 2} .0036039{col 37}{space 1}    2.64{col 46}{space 3}0.009{col 54}{space 4} .0023975{col 67}{space 3} .0166168
{txt}c_tfull_b_~x {c |}{col 14}{res}{space 2} .0444258{col 26}{space 2} .0162695{col 37}{space 1}    2.73{col 46}{space 3}0.007{col 54}{space 4} .0123293{col 67}{space 3} .0765224
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} -.511236{col 26}{space 2} .0224249{col 37}{space 1}  -22.80{col 46}{space 3}0.000{col 54}{space 4}-.5554759{col 67}{space 3}-.4669962
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull = .062{p_end}

{txt}       F(  1,   186) ={res}    5.55
{txt}{col 13}Prob > F ={res}    0.0195

{p 0 7}{space 1}{text:( 1)}{space 1} treatfull = -.062{p_end}

{txt}       F(  1,   186) ={res}    4.72
{txt}{col 13}Prob > F ={res}    0.0310

{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}     4,930
{txt}{col 49}F({res}   9{txt},{res}    186{txt}){col 67}= {res}     77.06
{txt}{col 49}Prob > F{col 67}= {res}    0.0000
{txt}{col 49}R-squared{col 67}= {res}    0.1110
{txt}{col 49}Adj R-squared{col 67}= {res}    0.1066
{txt}{col 49}Root MSE{col 67}= {res}    0.8984

{txt}{ralign 78:(Std. Err. adjusted for {res:187} clusters in hc_id)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}e_healthou~z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2}-.0025068{col 26}{space 2} .0273728{col 37}{space 1}   -0.09{col 46}{space 3}0.927{col 54}{space 4}-.0565079{col 67}{space 3} .0514943
{txt}b_healthou~z {c |}{col 14}{res}{space 2} .1301056{col 26}{space 2} .0158563{col 37}{space 1}    8.21{col 46}{space 3}0.000{col 54}{space 4} .0988243{col 67}{space 3}  .161387
{txt}b_healthou~d {c |}{col 14}{res}{space 2} .6767453{col 26}{space 2} .0268257{col 37}{space 1}   25.23{col 46}{space 3}0.000{col 54}{space 4} .6238235{col 67}{space 3}  .729667
{txt}{space 1}c_tfull_hc2 {c |}{col 14}{res}{space 2}-.0150939{col 26}{space 2} .0391048{col 37}{space 1}   -0.39{col 46}{space 3}0.700{col 54}{space 4}-.0922398{col 67}{space 3}  .062052
{txt}c_tfull_b_~l {c |}{col 14}{res}{space 2}-.0461058{col 26}{space 2} .0434625{col 37}{space 1}   -1.06{col 46}{space 3}0.290{col 54}{space 4}-.1318486{col 67}{space 3} .0396371
{txt}c_tfull_b_~s {c |}{col 14}{res}{space 2}-.0395781{col 26}{space 2} .0495328{col 37}{space 1}   -0.80{col 46}{space 3}0.425{col 54}{space 4}-.1372963{col 67}{space 3} .0581402
{txt}c_tfull_b_~d {c |}{col 14}{res}{space 2} .0312915{col 26}{space 2} .0564047{col 37}{space 1}    0.55{col 46}{space 3}0.580{col 54}{space 4}-.0799837{col 67}{space 3} .1425667
{txt}c_tfull_ed~r {c |}{col 14}{res}{space 2} .0095071{col 26}{space 2} .0036039{col 37}{space 1}    2.64{col 46}{space 3}0.009{col 54}{space 4} .0023975{col 67}{space 3} .0166168
{txt}c_tfull_b_~x {c |}{col 14}{res}{space 2} .0444258{col 26}{space 2} .0162695{col 37}{space 1}    2.73{col 46}{space 3}0.007{col 54}{space 4} .0123293{col 67}{space 3} .0765224
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} -.511236{col 26}{space 2} .0224249{col 37}{space 1}  -22.80{col 46}{space 3}0.000{col 54}{space 4}-.5554759{col 67}{space 3}-.4669962
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull = .063{p_end}

{txt}       F(  1,   186) ={res}    5.73
{txt}{col 13}Prob > F ={res}    0.0177

{p 0 7}{space 1}{text:( 1)}{space 1} treatfull = -.063{p_end}

{txt}       F(  1,   186) ={res}    4.88
{txt}{col 13}Prob > F ={res}    0.0283

{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}     4,930
{txt}{col 49}F({res}   9{txt},{res}    186{txt}){col 67}= {res}     77.06
{txt}{col 49}Prob > F{col 67}= {res}    0.0000
{txt}{col 49}R-squared{col 67}= {res}    0.1110
{txt}{col 49}Adj R-squared{col 67}= {res}    0.1066
{txt}{col 49}Root MSE{col 67}= {res}    0.8984

{txt}{ralign 78:(Std. Err. adjusted for {res:187} clusters in hc_id)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}e_healthou~z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2}-.0025068{col 26}{space 2} .0273728{col 37}{space 1}   -0.09{col 46}{space 3}0.927{col 54}{space 4}-.0565079{col 67}{space 3} .0514943
{txt}b_healthou~z {c |}{col 14}{res}{space 2} .1301056{col 26}{space 2} .0158563{col 37}{space 1}    8.21{col 46}{space 3}0.000{col 54}{space 4} .0988243{col 67}{space 3}  .161387
{txt}b_healthou~d {c |}{col 14}{res}{space 2} .6767453{col 26}{space 2} .0268257{col 37}{space 1}   25.23{col 46}{space 3}0.000{col 54}{space 4} .6238235{col 67}{space 3}  .729667
{txt}{space 1}c_tfull_hc2 {c |}{col 14}{res}{space 2}-.0150939{col 26}{space 2} .0391048{col 37}{space 1}   -0.39{col 46}{space 3}0.700{col 54}{space 4}-.0922398{col 67}{space 3}  .062052
{txt}c_tfull_b_~l {c |}{col 14}{res}{space 2}-.0461058{col 26}{space 2} .0434625{col 37}{space 1}   -1.06{col 46}{space 3}0.290{col 54}{space 4}-.1318486{col 67}{space 3} .0396371
{txt}c_tfull_b_~s {c |}{col 14}{res}{space 2}-.0395781{col 26}{space 2} .0495328{col 37}{space 1}   -0.80{col 46}{space 3}0.425{col 54}{space 4}-.1372963{col 67}{space 3} .0581402
{txt}c_tfull_b_~d {c |}{col 14}{res}{space 2} .0312915{col 26}{space 2} .0564047{col 37}{space 1}    0.55{col 46}{space 3}0.580{col 54}{space 4}-.0799837{col 67}{space 3} .1425667
{txt}c_tfull_ed~r {c |}{col 14}{res}{space 2} .0095071{col 26}{space 2} .0036039{col 37}{space 1}    2.64{col 46}{space 3}0.009{col 54}{space 4} .0023975{col 67}{space 3} .0166168
{txt}c_tfull_b_~x {c |}{col 14}{res}{space 2} .0444258{col 26}{space 2} .0162695{col 37}{space 1}    2.73{col 46}{space 3}0.007{col 54}{space 4} .0123293{col 67}{space 3} .0765224
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} -.511236{col 26}{space 2} .0224249{col 37}{space 1}  -22.80{col 46}{space 3}0.000{col 54}{space 4}-.5554759{col 67}{space 3}-.4669962
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull = .064{p_end}

{txt}       F(  1,   186) ={res}    5.90
{txt}{col 13}Prob > F ={res}    0.0161

{p 0 7}{space 1}{text:( 1)}{space 1} treatfull = -.064{p_end}

{txt}       F(  1,   186) ={res}    5.05
{txt}{col 13}Prob > F ={res}    0.0258

{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}     4,930
{txt}{col 49}F({res}   9{txt},{res}    186{txt}){col 67}= {res}     77.06
{txt}{col 49}Prob > F{col 67}= {res}    0.0000
{txt}{col 49}R-squared{col 67}= {res}    0.1110
{txt}{col 49}Adj R-squared{col 67}= {res}    0.1066
{txt}{col 49}Root MSE{col 67}= {res}    0.8984

{txt}{ralign 78:(Std. Err. adjusted for {res:187} clusters in hc_id)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}e_healthou~z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2}-.0025068{col 26}{space 2} .0273728{col 37}{space 1}   -0.09{col 46}{space 3}0.927{col 54}{space 4}-.0565079{col 67}{space 3} .0514943
{txt}b_healthou~z {c |}{col 14}{res}{space 2} .1301056{col 26}{space 2} .0158563{col 37}{space 1}    8.21{col 46}{space 3}0.000{col 54}{space 4} .0988243{col 67}{space 3}  .161387
{txt}b_healthou~d {c |}{col 14}{res}{space 2} .6767453{col 26}{space 2} .0268257{col 37}{space 1}   25.23{col 46}{space 3}0.000{col 54}{space 4} .6238235{col 67}{space 3}  .729667
{txt}{space 1}c_tfull_hc2 {c |}{col 14}{res}{space 2}-.0150939{col 26}{space 2} .0391048{col 37}{space 1}   -0.39{col 46}{space 3}0.700{col 54}{space 4}-.0922398{col 67}{space 3}  .062052
{txt}c_tfull_b_~l {c |}{col 14}{res}{space 2}-.0461058{col 26}{space 2} .0434625{col 37}{space 1}   -1.06{col 46}{space 3}0.290{col 54}{space 4}-.1318486{col 67}{space 3} .0396371
{txt}c_tfull_b_~s {c |}{col 14}{res}{space 2}-.0395781{col 26}{space 2} .0495328{col 37}{space 1}   -0.80{col 46}{space 3}0.425{col 54}{space 4}-.1372963{col 67}{space 3} .0581402
{txt}c_tfull_b_~d {c |}{col 14}{res}{space 2} .0312915{col 26}{space 2} .0564047{col 37}{space 1}    0.55{col 46}{space 3}0.580{col 54}{space 4}-.0799837{col 67}{space 3} .1425667
{txt}c_tfull_ed~r {c |}{col 14}{res}{space 2} .0095071{col 26}{space 2} .0036039{col 37}{space 1}    2.64{col 46}{space 3}0.009{col 54}{space 4} .0023975{col 67}{space 3} .0166168
{txt}c_tfull_b_~x {c |}{col 14}{res}{space 2} .0444258{col 26}{space 2} .0162695{col 37}{space 1}    2.73{col 46}{space 3}0.007{col 54}{space 4} .0123293{col 67}{space 3} .0765224
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} -.511236{col 26}{space 2} .0224249{col 37}{space 1}  -22.80{col 46}{space 3}0.000{col 54}{space 4}-.5554759{col 67}{space 3}-.4669962
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull = .065{p_end}

{txt}       F(  1,   186) ={res}    6.08
{txt}{col 13}Prob > F ={res}    0.0146

{p 0 7}{space 1}{text:( 1)}{space 1} treatfull = -.065{p_end}

{txt}       F(  1,   186) ={res}    5.21
{txt}{col 13}Prob > F ={res}    0.0236

{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}     4,930
{txt}{col 49}F({res}   9{txt},{res}    186{txt}){col 67}= {res}     77.06
{txt}{col 49}Prob > F{col 67}= {res}    0.0000
{txt}{col 49}R-squared{col 67}= {res}    0.1110
{txt}{col 49}Adj R-squared{col 67}= {res}    0.1066
{txt}{col 49}Root MSE{col 67}= {res}    0.8984

{txt}{ralign 78:(Std. Err. adjusted for {res:187} clusters in hc_id)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}e_healthou~z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2}-.0025068{col 26}{space 2} .0273728{col 37}{space 1}   -0.09{col 46}{space 3}0.927{col 54}{space 4}-.0565079{col 67}{space 3} .0514943
{txt}b_healthou~z {c |}{col 14}{res}{space 2} .1301056{col 26}{space 2} .0158563{col 37}{space 1}    8.21{col 46}{space 3}0.000{col 54}{space 4} .0988243{col 67}{space 3}  .161387
{txt}b_healthou~d {c |}{col 14}{res}{space 2} .6767453{col 26}{space 2} .0268257{col 37}{space 1}   25.23{col 46}{space 3}0.000{col 54}{space 4} .6238235{col 67}{space 3}  .729667
{txt}{space 1}c_tfull_hc2 {c |}{col 14}{res}{space 2}-.0150939{col 26}{space 2} .0391048{col 37}{space 1}   -0.39{col 46}{space 3}0.700{col 54}{space 4}-.0922398{col 67}{space 3}  .062052
{txt}c_tfull_b_~l {c |}{col 14}{res}{space 2}-.0461058{col 26}{space 2} .0434625{col 37}{space 1}   -1.06{col 46}{space 3}0.290{col 54}{space 4}-.1318486{col 67}{space 3} .0396371
{txt}c_tfull_b_~s {c |}{col 14}{res}{space 2}-.0395781{col 26}{space 2} .0495328{col 37}{space 1}   -0.80{col 46}{space 3}0.425{col 54}{space 4}-.1372963{col 67}{space 3} .0581402
{txt}c_tfull_b_~d {c |}{col 14}{res}{space 2} .0312915{col 26}{space 2} .0564047{col 37}{space 1}    0.55{col 46}{space 3}0.580{col 54}{space 4}-.0799837{col 67}{space 3} .1425667
{txt}c_tfull_ed~r {c |}{col 14}{res}{space 2} .0095071{col 26}{space 2} .0036039{col 37}{space 1}    2.64{col 46}{space 3}0.009{col 54}{space 4} .0023975{col 67}{space 3} .0166168
{txt}c_tfull_b_~x {c |}{col 14}{res}{space 2} .0444258{col 26}{space 2} .0162695{col 37}{space 1}    2.73{col 46}{space 3}0.007{col 54}{space 4} .0123293{col 67}{space 3} .0765224
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} -.511236{col 26}{space 2} .0224249{col 37}{space 1}  -22.80{col 46}{space 3}0.000{col 54}{space 4}-.5554759{col 67}{space 3}-.4669962
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull = .066{p_end}

{txt}       F(  1,   186) ={res}    6.26
{txt}{col 13}Prob > F ={res}    0.0132

{p 0 7}{space 1}{text:( 1)}{space 1} treatfull = -.066{p_end}

{txt}       F(  1,   186) ={res}    5.38
{txt}{col 13}Prob > F ={res}    0.0215

{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}     4,930
{txt}{col 49}F({res}   9{txt},{res}    186{txt}){col 67}= {res}     77.06
{txt}{col 49}Prob > F{col 67}= {res}    0.0000
{txt}{col 49}R-squared{col 67}= {res}    0.1110
{txt}{col 49}Adj R-squared{col 67}= {res}    0.1066
{txt}{col 49}Root MSE{col 67}= {res}    0.8984

{txt}{ralign 78:(Std. Err. adjusted for {res:187} clusters in hc_id)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}e_healthou~z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2}-.0025068{col 26}{space 2} .0273728{col 37}{space 1}   -0.09{col 46}{space 3}0.927{col 54}{space 4}-.0565079{col 67}{space 3} .0514943
{txt}b_healthou~z {c |}{col 14}{res}{space 2} .1301056{col 26}{space 2} .0158563{col 37}{space 1}    8.21{col 46}{space 3}0.000{col 54}{space 4} .0988243{col 67}{space 3}  .161387
{txt}b_healthou~d {c |}{col 14}{res}{space 2} .6767453{col 26}{space 2} .0268257{col 37}{space 1}   25.23{col 46}{space 3}0.000{col 54}{space 4} .6238235{col 67}{space 3}  .729667
{txt}{space 1}c_tfull_hc2 {c |}{col 14}{res}{space 2}-.0150939{col 26}{space 2} .0391048{col 37}{space 1}   -0.39{col 46}{space 3}0.700{col 54}{space 4}-.0922398{col 67}{space 3}  .062052
{txt}c_tfull_b_~l {c |}{col 14}{res}{space 2}-.0461058{col 26}{space 2} .0434625{col 37}{space 1}   -1.06{col 46}{space 3}0.290{col 54}{space 4}-.1318486{col 67}{space 3} .0396371
{txt}c_tfull_b_~s {c |}{col 14}{res}{space 2}-.0395781{col 26}{space 2} .0495328{col 37}{space 1}   -0.80{col 46}{space 3}0.425{col 54}{space 4}-.1372963{col 67}{space 3} .0581402
{txt}c_tfull_b_~d {c |}{col 14}{res}{space 2} .0312915{col 26}{space 2} .0564047{col 37}{space 1}    0.55{col 46}{space 3}0.580{col 54}{space 4}-.0799837{col 67}{space 3} .1425667
{txt}c_tfull_ed~r {c |}{col 14}{res}{space 2} .0095071{col 26}{space 2} .0036039{col 37}{space 1}    2.64{col 46}{space 3}0.009{col 54}{space 4} .0023975{col 67}{space 3} .0166168
{txt}c_tfull_b_~x {c |}{col 14}{res}{space 2} .0444258{col 26}{space 2} .0162695{col 37}{space 1}    2.73{col 46}{space 3}0.007{col 54}{space 4} .0123293{col 67}{space 3} .0765224
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} -.511236{col 26}{space 2} .0224249{col 37}{space 1}  -22.80{col 46}{space 3}0.000{col 54}{space 4}-.5554759{col 67}{space 3}-.4669962
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull = .067{p_end}

{txt}       F(  1,   186) ={res}    6.45
{txt}{col 13}Prob > F ={res}    0.0119

{p 0 7}{space 1}{text:( 1)}{space 1} treatfull = -.067{p_end}

{txt}       F(  1,   186) ={res}    5.55
{txt}{col 13}Prob > F ={res}    0.0195

{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}     4,930
{txt}{col 49}F({res}   9{txt},{res}    186{txt}){col 67}= {res}     77.06
{txt}{col 49}Prob > F{col 67}= {res}    0.0000
{txt}{col 49}R-squared{col 67}= {res}    0.1110
{txt}{col 49}Adj R-squared{col 67}= {res}    0.1066
{txt}{col 49}Root MSE{col 67}= {res}    0.8984

{txt}{ralign 78:(Std. Err. adjusted for {res:187} clusters in hc_id)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}e_healthou~z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2}-.0025068{col 26}{space 2} .0273728{col 37}{space 1}   -0.09{col 46}{space 3}0.927{col 54}{space 4}-.0565079{col 67}{space 3} .0514943
{txt}b_healthou~z {c |}{col 14}{res}{space 2} .1301056{col 26}{space 2} .0158563{col 37}{space 1}    8.21{col 46}{space 3}0.000{col 54}{space 4} .0988243{col 67}{space 3}  .161387
{txt}b_healthou~d {c |}{col 14}{res}{space 2} .6767453{col 26}{space 2} .0268257{col 37}{space 1}   25.23{col 46}{space 3}0.000{col 54}{space 4} .6238235{col 67}{space 3}  .729667
{txt}{space 1}c_tfull_hc2 {c |}{col 14}{res}{space 2}-.0150939{col 26}{space 2} .0391048{col 37}{space 1}   -0.39{col 46}{space 3}0.700{col 54}{space 4}-.0922398{col 67}{space 3}  .062052
{txt}c_tfull_b_~l {c |}{col 14}{res}{space 2}-.0461058{col 26}{space 2} .0434625{col 37}{space 1}   -1.06{col 46}{space 3}0.290{col 54}{space 4}-.1318486{col 67}{space 3} .0396371
{txt}c_tfull_b_~s {c |}{col 14}{res}{space 2}-.0395781{col 26}{space 2} .0495328{col 37}{space 1}   -0.80{col 46}{space 3}0.425{col 54}{space 4}-.1372963{col 67}{space 3} .0581402
{txt}c_tfull_b_~d {c |}{col 14}{res}{space 2} .0312915{col 26}{space 2} .0564047{col 37}{space 1}    0.55{col 46}{space 3}0.580{col 54}{space 4}-.0799837{col 67}{space 3} .1425667
{txt}c_tfull_ed~r {c |}{col 14}{res}{space 2} .0095071{col 26}{space 2} .0036039{col 37}{space 1}    2.64{col 46}{space 3}0.009{col 54}{space 4} .0023975{col 67}{space 3} .0166168
{txt}c_tfull_b_~x {c |}{col 14}{res}{space 2} .0444258{col 26}{space 2} .0162695{col 37}{space 1}    2.73{col 46}{space 3}0.007{col 54}{space 4} .0123293{col 67}{space 3} .0765224
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} -.511236{col 26}{space 2} .0224249{col 37}{space 1}  -22.80{col 46}{space 3}0.000{col 54}{space 4}-.5554759{col 67}{space 3}-.4669962
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull = .068{p_end}

{txt}       F(  1,   186) ={res}    6.63
{txt}{col 13}Prob > F ={res}    0.0108

{p 0 7}{space 1}{text:( 1)}{space 1} treatfull = -.068{p_end}

{txt}       F(  1,   186) ={res}    5.72
{txt}{col 13}Prob > F ={res}    0.0177

{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}     4,930
{txt}{col 49}F({res}   9{txt},{res}    186{txt}){col 67}= {res}     77.06
{txt}{col 49}Prob > F{col 67}= {res}    0.0000
{txt}{col 49}R-squared{col 67}= {res}    0.1110
{txt}{col 49}Adj R-squared{col 67}= {res}    0.1066
{txt}{col 49}Root MSE{col 67}= {res}    0.8984

{txt}{ralign 78:(Std. Err. adjusted for {res:187} clusters in hc_id)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}e_healthou~z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2}-.0025068{col 26}{space 2} .0273728{col 37}{space 1}   -0.09{col 46}{space 3}0.927{col 54}{space 4}-.0565079{col 67}{space 3} .0514943
{txt}b_healthou~z {c |}{col 14}{res}{space 2} .1301056{col 26}{space 2} .0158563{col 37}{space 1}    8.21{col 46}{space 3}0.000{col 54}{space 4} .0988243{col 67}{space 3}  .161387
{txt}b_healthou~d {c |}{col 14}{res}{space 2} .6767453{col 26}{space 2} .0268257{col 37}{space 1}   25.23{col 46}{space 3}0.000{col 54}{space 4} .6238235{col 67}{space 3}  .729667
{txt}{space 1}c_tfull_hc2 {c |}{col 14}{res}{space 2}-.0150939{col 26}{space 2} .0391048{col 37}{space 1}   -0.39{col 46}{space 3}0.700{col 54}{space 4}-.0922398{col 67}{space 3}  .062052
{txt}c_tfull_b_~l {c |}{col 14}{res}{space 2}-.0461058{col 26}{space 2} .0434625{col 37}{space 1}   -1.06{col 46}{space 3}0.290{col 54}{space 4}-.1318486{col 67}{space 3} .0396371
{txt}c_tfull_b_~s {c |}{col 14}{res}{space 2}-.0395781{col 26}{space 2} .0495328{col 37}{space 1}   -0.80{col 46}{space 3}0.425{col 54}{space 4}-.1372963{col 67}{space 3} .0581402
{txt}c_tfull_b_~d {c |}{col 14}{res}{space 2} .0312915{col 26}{space 2} .0564047{col 37}{space 1}    0.55{col 46}{space 3}0.580{col 54}{space 4}-.0799837{col 67}{space 3} .1425667
{txt}c_tfull_ed~r {c |}{col 14}{res}{space 2} .0095071{col 26}{space 2} .0036039{col 37}{space 1}    2.64{col 46}{space 3}0.009{col 54}{space 4} .0023975{col 67}{space 3} .0166168
{txt}c_tfull_b_~x {c |}{col 14}{res}{space 2} .0444258{col 26}{space 2} .0162695{col 37}{space 1}    2.73{col 46}{space 3}0.007{col 54}{space 4} .0123293{col 67}{space 3} .0765224
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} -.511236{col 26}{space 2} .0224249{col 37}{space 1}  -22.80{col 46}{space 3}0.000{col 54}{space 4}-.5554759{col 67}{space 3}-.4669962
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull = .069{p_end}

{txt}       F(  1,   186) ={res}    6.82
{txt}{col 13}Prob > F ={res}    0.0097

{p 0 7}{space 1}{text:( 1)}{space 1} treatfull = -.069{p_end}

{txt}       F(  1,   186) ={res}    5.90
{txt}{col 13}Prob > F ={res}    0.0161

{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}     4,930
{txt}{col 49}F({res}   9{txt},{res}    186{txt}){col 67}= {res}     77.06
{txt}{col 49}Prob > F{col 67}= {res}    0.0000
{txt}{col 49}R-squared{col 67}= {res}    0.1110
{txt}{col 49}Adj R-squared{col 67}= {res}    0.1066
{txt}{col 49}Root MSE{col 67}= {res}    0.8984

{txt}{ralign 78:(Std. Err. adjusted for {res:187} clusters in hc_id)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}e_healthou~z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2}-.0025068{col 26}{space 2} .0273728{col 37}{space 1}   -0.09{col 46}{space 3}0.927{col 54}{space 4}-.0565079{col 67}{space 3} .0514943
{txt}b_healthou~z {c |}{col 14}{res}{space 2} .1301056{col 26}{space 2} .0158563{col 37}{space 1}    8.21{col 46}{space 3}0.000{col 54}{space 4} .0988243{col 67}{space 3}  .161387
{txt}b_healthou~d {c |}{col 14}{res}{space 2} .6767453{col 26}{space 2} .0268257{col 37}{space 1}   25.23{col 46}{space 3}0.000{col 54}{space 4} .6238235{col 67}{space 3}  .729667
{txt}{space 1}c_tfull_hc2 {c |}{col 14}{res}{space 2}-.0150939{col 26}{space 2} .0391048{col 37}{space 1}   -0.39{col 46}{space 3}0.700{col 54}{space 4}-.0922398{col 67}{space 3}  .062052
{txt}c_tfull_b_~l {c |}{col 14}{res}{space 2}-.0461058{col 26}{space 2} .0434625{col 37}{space 1}   -1.06{col 46}{space 3}0.290{col 54}{space 4}-.1318486{col 67}{space 3} .0396371
{txt}c_tfull_b_~s {c |}{col 14}{res}{space 2}-.0395781{col 26}{space 2} .0495328{col 37}{space 1}   -0.80{col 46}{space 3}0.425{col 54}{space 4}-.1372963{col 67}{space 3} .0581402
{txt}c_tfull_b_~d {c |}{col 14}{res}{space 2} .0312915{col 26}{space 2} .0564047{col 37}{space 1}    0.55{col 46}{space 3}0.580{col 54}{space 4}-.0799837{col 67}{space 3} .1425667
{txt}c_tfull_ed~r {c |}{col 14}{res}{space 2} .0095071{col 26}{space 2} .0036039{col 37}{space 1}    2.64{col 46}{space 3}0.009{col 54}{space 4} .0023975{col 67}{space 3} .0166168
{txt}c_tfull_b_~x {c |}{col 14}{res}{space 2} .0444258{col 26}{space 2} .0162695{col 37}{space 1}    2.73{col 46}{space 3}0.007{col 54}{space 4} .0123293{col 67}{space 3} .0765224
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} -.511236{col 26}{space 2} .0224249{col 37}{space 1}  -22.80{col 46}{space 3}0.000{col 54}{space 4}-.5554759{col 67}{space 3}-.4669962
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull = .07{p_end}

{txt}       F(  1,   186) ={res}    7.02
{txt}{col 13}Prob > F ={res}    0.0088

{p 0 7}{space 1}{text:( 1)}{space 1} treatfull = -.07{p_end}

{txt}       F(  1,   186) ={res}    6.08
{txt}{col 13}Prob > F ={res}    0.0146

{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}     4,930
{txt}{col 49}F({res}   9{txt},{res}    186{txt}){col 67}= {res}     77.06
{txt}{col 49}Prob > F{col 67}= {res}    0.0000
{txt}{col 49}R-squared{col 67}= {res}    0.1110
{txt}{col 49}Adj R-squared{col 67}= {res}    0.1066
{txt}{col 49}Root MSE{col 67}= {res}    0.8984

{txt}{ralign 78:(Std. Err. adjusted for {res:187} clusters in hc_id)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}e_healthou~z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2}-.0025068{col 26}{space 2} .0273728{col 37}{space 1}   -0.09{col 46}{space 3}0.927{col 54}{space 4}-.0565079{col 67}{space 3} .0514943
{txt}b_healthou~z {c |}{col 14}{res}{space 2} .1301056{col 26}{space 2} .0158563{col 37}{space 1}    8.21{col 46}{space 3}0.000{col 54}{space 4} .0988243{col 67}{space 3}  .161387
{txt}b_healthou~d {c |}{col 14}{res}{space 2} .6767453{col 26}{space 2} .0268257{col 37}{space 1}   25.23{col 46}{space 3}0.000{col 54}{space 4} .6238235{col 67}{space 3}  .729667
{txt}{space 1}c_tfull_hc2 {c |}{col 14}{res}{space 2}-.0150939{col 26}{space 2} .0391048{col 37}{space 1}   -0.39{col 46}{space 3}0.700{col 54}{space 4}-.0922398{col 67}{space 3}  .062052
{txt}c_tfull_b_~l {c |}{col 14}{res}{space 2}-.0461058{col 26}{space 2} .0434625{col 37}{space 1}   -1.06{col 46}{space 3}0.290{col 54}{space 4}-.1318486{col 67}{space 3} .0396371
{txt}c_tfull_b_~s {c |}{col 14}{res}{space 2}-.0395781{col 26}{space 2} .0495328{col 37}{space 1}   -0.80{col 46}{space 3}0.425{col 54}{space 4}-.1372963{col 67}{space 3} .0581402
{txt}c_tfull_b_~d {c |}{col 14}{res}{space 2} .0312915{col 26}{space 2} .0564047{col 37}{space 1}    0.55{col 46}{space 3}0.580{col 54}{space 4}-.0799837{col 67}{space 3} .1425667
{txt}c_tfull_ed~r {c |}{col 14}{res}{space 2} .0095071{col 26}{space 2} .0036039{col 37}{space 1}    2.64{col 46}{space 3}0.009{col 54}{space 4} .0023975{col 67}{space 3} .0166168
{txt}c_tfull_b_~x {c |}{col 14}{res}{space 2} .0444258{col 26}{space 2} .0162695{col 37}{space 1}    2.73{col 46}{space 3}0.007{col 54}{space 4} .0123293{col 67}{space 3} .0765224
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} -.511236{col 26}{space 2} .0224249{col 37}{space 1}  -22.80{col 46}{space 3}0.000{col 54}{space 4}-.5554759{col 67}{space 3}-.4669962
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull = .071{p_end}

{txt}       F(  1,   186) ={res}    7.21
{txt}{col 13}Prob > F ={res}    0.0079

{p 0 7}{space 1}{text:( 1)}{space 1} treatfull = -.071{p_end}

{txt}       F(  1,   186) ={res}    6.26
{txt}{col 13}Prob > F ={res}    0.0132

{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}     4,930
{txt}{col 49}F({res}   9{txt},{res}    186{txt}){col 67}= {res}     77.06
{txt}{col 49}Prob > F{col 67}= {res}    0.0000
{txt}{col 49}R-squared{col 67}= {res}    0.1110
{txt}{col 49}Adj R-squared{col 67}= {res}    0.1066
{txt}{col 49}Root MSE{col 67}= {res}    0.8984

{txt}{ralign 78:(Std. Err. adjusted for {res:187} clusters in hc_id)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}e_healthou~z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2}-.0025068{col 26}{space 2} .0273728{col 37}{space 1}   -0.09{col 46}{space 3}0.927{col 54}{space 4}-.0565079{col 67}{space 3} .0514943
{txt}b_healthou~z {c |}{col 14}{res}{space 2} .1301056{col 26}{space 2} .0158563{col 37}{space 1}    8.21{col 46}{space 3}0.000{col 54}{space 4} .0988243{col 67}{space 3}  .161387
{txt}b_healthou~d {c |}{col 14}{res}{space 2} .6767453{col 26}{space 2} .0268257{col 37}{space 1}   25.23{col 46}{space 3}0.000{col 54}{space 4} .6238235{col 67}{space 3}  .729667
{txt}{space 1}c_tfull_hc2 {c |}{col 14}{res}{space 2}-.0150939{col 26}{space 2} .0391048{col 37}{space 1}   -0.39{col 46}{space 3}0.700{col 54}{space 4}-.0922398{col 67}{space 3}  .062052
{txt}c_tfull_b_~l {c |}{col 14}{res}{space 2}-.0461058{col 26}{space 2} .0434625{col 37}{space 1}   -1.06{col 46}{space 3}0.290{col 54}{space 4}-.1318486{col 67}{space 3} .0396371
{txt}c_tfull_b_~s {c |}{col 14}{res}{space 2}-.0395781{col 26}{space 2} .0495328{col 37}{space 1}   -0.80{col 46}{space 3}0.425{col 54}{space 4}-.1372963{col 67}{space 3} .0581402
{txt}c_tfull_b_~d {c |}{col 14}{res}{space 2} .0312915{col 26}{space 2} .0564047{col 37}{space 1}    0.55{col 46}{space 3}0.580{col 54}{space 4}-.0799837{col 67}{space 3} .1425667
{txt}c_tfull_ed~r {c |}{col 14}{res}{space 2} .0095071{col 26}{space 2} .0036039{col 37}{space 1}    2.64{col 46}{space 3}0.009{col 54}{space 4} .0023975{col 67}{space 3} .0166168
{txt}c_tfull_b_~x {c |}{col 14}{res}{space 2} .0444258{col 26}{space 2} .0162695{col 37}{space 1}    2.73{col 46}{space 3}0.007{col 54}{space 4} .0123293{col 67}{space 3} .0765224
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} -.511236{col 26}{space 2} .0224249{col 37}{space 1}  -22.80{col 46}{space 3}0.000{col 54}{space 4}-.5554759{col 67}{space 3}-.4669962
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull = .072{p_end}

{txt}       F(  1,   186) ={res}    7.41
{txt}{col 13}Prob > F ={res}    0.0071

{p 0 7}{space 1}{text:( 1)}{space 1} treatfull = -.072{p_end}

{txt}       F(  1,   186) ={res}    6.45
{txt}{col 13}Prob > F ={res}    0.0119

{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}     4,930
{txt}{col 49}F({res}   9{txt},{res}    186{txt}){col 67}= {res}     77.06
{txt}{col 49}Prob > F{col 67}= {res}    0.0000
{txt}{col 49}R-squared{col 67}= {res}    0.1110
{txt}{col 49}Adj R-squared{col 67}= {res}    0.1066
{txt}{col 49}Root MSE{col 67}= {res}    0.8984

{txt}{ralign 78:(Std. Err. adjusted for {res:187} clusters in hc_id)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}e_healthou~z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2}-.0025068{col 26}{space 2} .0273728{col 37}{space 1}   -0.09{col 46}{space 3}0.927{col 54}{space 4}-.0565079{col 67}{space 3} .0514943
{txt}b_healthou~z {c |}{col 14}{res}{space 2} .1301056{col 26}{space 2} .0158563{col 37}{space 1}    8.21{col 46}{space 3}0.000{col 54}{space 4} .0988243{col 67}{space 3}  .161387
{txt}b_healthou~d {c |}{col 14}{res}{space 2} .6767453{col 26}{space 2} .0268257{col 37}{space 1}   25.23{col 46}{space 3}0.000{col 54}{space 4} .6238235{col 67}{space 3}  .729667
{txt}{space 1}c_tfull_hc2 {c |}{col 14}{res}{space 2}-.0150939{col 26}{space 2} .0391048{col 37}{space 1}   -0.39{col 46}{space 3}0.700{col 54}{space 4}-.0922398{col 67}{space 3}  .062052
{txt}c_tfull_b_~l {c |}{col 14}{res}{space 2}-.0461058{col 26}{space 2} .0434625{col 37}{space 1}   -1.06{col 46}{space 3}0.290{col 54}{space 4}-.1318486{col 67}{space 3} .0396371
{txt}c_tfull_b_~s {c |}{col 14}{res}{space 2}-.0395781{col 26}{space 2} .0495328{col 37}{space 1}   -0.80{col 46}{space 3}0.425{col 54}{space 4}-.1372963{col 67}{space 3} .0581402
{txt}c_tfull_b_~d {c |}{col 14}{res}{space 2} .0312915{col 26}{space 2} .0564047{col 37}{space 1}    0.55{col 46}{space 3}0.580{col 54}{space 4}-.0799837{col 67}{space 3} .1425667
{txt}c_tfull_ed~r {c |}{col 14}{res}{space 2} .0095071{col 26}{space 2} .0036039{col 37}{space 1}    2.64{col 46}{space 3}0.009{col 54}{space 4} .0023975{col 67}{space 3} .0166168
{txt}c_tfull_b_~x {c |}{col 14}{res}{space 2} .0444258{col 26}{space 2} .0162695{col 37}{space 1}    2.73{col 46}{space 3}0.007{col 54}{space 4} .0123293{col 67}{space 3} .0765224
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} -.511236{col 26}{space 2} .0224249{col 37}{space 1}  -22.80{col 46}{space 3}0.000{col 54}{space 4}-.5554759{col 67}{space 3}-.4669962
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull = .073{p_end}

{txt}       F(  1,   186) ={res}    7.61
{txt}{col 13}Prob > F ={res}    0.0064

{p 0 7}{space 1}{text:( 1)}{space 1} treatfull = -.073{p_end}

{txt}       F(  1,   186) ={res}    6.63
{txt}{col 13}Prob > F ={res}    0.0108

{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}     4,930
{txt}{col 49}F({res}   9{txt},{res}    186{txt}){col 67}= {res}     77.06
{txt}{col 49}Prob > F{col 67}= {res}    0.0000
{txt}{col 49}R-squared{col 67}= {res}    0.1110
{txt}{col 49}Adj R-squared{col 67}= {res}    0.1066
{txt}{col 49}Root MSE{col 67}= {res}    0.8984

{txt}{ralign 78:(Std. Err. adjusted for {res:187} clusters in hc_id)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}e_healthou~z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2}-.0025068{col 26}{space 2} .0273728{col 37}{space 1}   -0.09{col 46}{space 3}0.927{col 54}{space 4}-.0565079{col 67}{space 3} .0514943
{txt}b_healthou~z {c |}{col 14}{res}{space 2} .1301056{col 26}{space 2} .0158563{col 37}{space 1}    8.21{col 46}{space 3}0.000{col 54}{space 4} .0988243{col 67}{space 3}  .161387
{txt}b_healthou~d {c |}{col 14}{res}{space 2} .6767453{col 26}{space 2} .0268257{col 37}{space 1}   25.23{col 46}{space 3}0.000{col 54}{space 4} .6238235{col 67}{space 3}  .729667
{txt}{space 1}c_tfull_hc2 {c |}{col 14}{res}{space 2}-.0150939{col 26}{space 2} .0391048{col 37}{space 1}   -0.39{col 46}{space 3}0.700{col 54}{space 4}-.0922398{col 67}{space 3}  .062052
{txt}c_tfull_b_~l {c |}{col 14}{res}{space 2}-.0461058{col 26}{space 2} .0434625{col 37}{space 1}   -1.06{col 46}{space 3}0.290{col 54}{space 4}-.1318486{col 67}{space 3} .0396371
{txt}c_tfull_b_~s {c |}{col 14}{res}{space 2}-.0395781{col 26}{space 2} .0495328{col 37}{space 1}   -0.80{col 46}{space 3}0.425{col 54}{space 4}-.1372963{col 67}{space 3} .0581402
{txt}c_tfull_b_~d {c |}{col 14}{res}{space 2} .0312915{col 26}{space 2} .0564047{col 37}{space 1}    0.55{col 46}{space 3}0.580{col 54}{space 4}-.0799837{col 67}{space 3} .1425667
{txt}c_tfull_ed~r {c |}{col 14}{res}{space 2} .0095071{col 26}{space 2} .0036039{col 37}{space 1}    2.64{col 46}{space 3}0.009{col 54}{space 4} .0023975{col 67}{space 3} .0166168
{txt}c_tfull_b_~x {c |}{col 14}{res}{space 2} .0444258{col 26}{space 2} .0162695{col 37}{space 1}    2.73{col 46}{space 3}0.007{col 54}{space 4} .0123293{col 67}{space 3} .0765224
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} -.511236{col 26}{space 2} .0224249{col 37}{space 1}  -22.80{col 46}{space 3}0.000{col 54}{space 4}-.5554759{col 67}{space 3}-.4669962
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull = .074{p_end}

{txt}       F(  1,   186) ={res}    7.81
{txt}{col 13}Prob > F ={res}    0.0057

{p 0 7}{space 1}{text:( 1)}{space 1} treatfull = -.074{p_end}

{txt}       F(  1,   186) ={res}    6.82
{txt}{col 13}Prob > F ={res}    0.0097

{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}     4,930
{txt}{col 49}F({res}   9{txt},{res}    186{txt}){col 67}= {res}     77.06
{txt}{col 49}Prob > F{col 67}= {res}    0.0000
{txt}{col 49}R-squared{col 67}= {res}    0.1110
{txt}{col 49}Adj R-squared{col 67}= {res}    0.1066
{txt}{col 49}Root MSE{col 67}= {res}    0.8984

{txt}{ralign 78:(Std. Err. adjusted for {res:187} clusters in hc_id)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}e_healthou~z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2}-.0025068{col 26}{space 2} .0273728{col 37}{space 1}   -0.09{col 46}{space 3}0.927{col 54}{space 4}-.0565079{col 67}{space 3} .0514943
{txt}b_healthou~z {c |}{col 14}{res}{space 2} .1301056{col 26}{space 2} .0158563{col 37}{space 1}    8.21{col 46}{space 3}0.000{col 54}{space 4} .0988243{col 67}{space 3}  .161387
{txt}b_healthou~d {c |}{col 14}{res}{space 2} .6767453{col 26}{space 2} .0268257{col 37}{space 1}   25.23{col 46}{space 3}0.000{col 54}{space 4} .6238235{col 67}{space 3}  .729667
{txt}{space 1}c_tfull_hc2 {c |}{col 14}{res}{space 2}-.0150939{col 26}{space 2} .0391048{col 37}{space 1}   -0.39{col 46}{space 3}0.700{col 54}{space 4}-.0922398{col 67}{space 3}  .062052
{txt}c_tfull_b_~l {c |}{col 14}{res}{space 2}-.0461058{col 26}{space 2} .0434625{col 37}{space 1}   -1.06{col 46}{space 3}0.290{col 54}{space 4}-.1318486{col 67}{space 3} .0396371
{txt}c_tfull_b_~s {c |}{col 14}{res}{space 2}-.0395781{col 26}{space 2} .0495328{col 37}{space 1}   -0.80{col 46}{space 3}0.425{col 54}{space 4}-.1372963{col 67}{space 3} .0581402
{txt}c_tfull_b_~d {c |}{col 14}{res}{space 2} .0312915{col 26}{space 2} .0564047{col 37}{space 1}    0.55{col 46}{space 3}0.580{col 54}{space 4}-.0799837{col 67}{space 3} .1425667
{txt}c_tfull_ed~r {c |}{col 14}{res}{space 2} .0095071{col 26}{space 2} .0036039{col 37}{space 1}    2.64{col 46}{space 3}0.009{col 54}{space 4} .0023975{col 67}{space 3} .0166168
{txt}c_tfull_b_~x {c |}{col 14}{res}{space 2} .0444258{col 26}{space 2} .0162695{col 37}{space 1}    2.73{col 46}{space 3}0.007{col 54}{space 4} .0123293{col 67}{space 3} .0765224
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} -.511236{col 26}{space 2} .0224249{col 37}{space 1}  -22.80{col 46}{space 3}0.000{col 54}{space 4}-.5554759{col 67}{space 3}-.4669962
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull = .075{p_end}

{txt}       F(  1,   186) ={res}    8.02
{txt}{col 13}Prob > F ={res}    0.0051

{p 0 7}{space 1}{text:( 1)}{space 1} treatfull = -.075{p_end}

{txt}       F(  1,   186) ={res}    7.01
{txt}{col 13}Prob > F ={res}    0.0088

{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}     4,930
{txt}{col 49}F({res}   9{txt},{res}    186{txt}){col 67}= {res}     77.06
{txt}{col 49}Prob > F{col 67}= {res}    0.0000
{txt}{col 49}R-squared{col 67}= {res}    0.1110
{txt}{col 49}Adj R-squared{col 67}= {res}    0.1066
{txt}{col 49}Root MSE{col 67}= {res}    0.8984

{txt}{ralign 78:(Std. Err. adjusted for {res:187} clusters in hc_id)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}e_healthou~z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2}-.0025068{col 26}{space 2} .0273728{col 37}{space 1}   -0.09{col 46}{space 3}0.927{col 54}{space 4}-.0565079{col 67}{space 3} .0514943
{txt}b_healthou~z {c |}{col 14}{res}{space 2} .1301056{col 26}{space 2} .0158563{col 37}{space 1}    8.21{col 46}{space 3}0.000{col 54}{space 4} .0988243{col 67}{space 3}  .161387
{txt}b_healthou~d {c |}{col 14}{res}{space 2} .6767453{col 26}{space 2} .0268257{col 37}{space 1}   25.23{col 46}{space 3}0.000{col 54}{space 4} .6238235{col 67}{space 3}  .729667
{txt}{space 1}c_tfull_hc2 {c |}{col 14}{res}{space 2}-.0150939{col 26}{space 2} .0391048{col 37}{space 1}   -0.39{col 46}{space 3}0.700{col 54}{space 4}-.0922398{col 67}{space 3}  .062052
{txt}c_tfull_b_~l {c |}{col 14}{res}{space 2}-.0461058{col 26}{space 2} .0434625{col 37}{space 1}   -1.06{col 46}{space 3}0.290{col 54}{space 4}-.1318486{col 67}{space 3} .0396371
{txt}c_tfull_b_~s {c |}{col 14}{res}{space 2}-.0395781{col 26}{space 2} .0495328{col 37}{space 1}   -0.80{col 46}{space 3}0.425{col 54}{space 4}-.1372963{col 67}{space 3} .0581402
{txt}c_tfull_b_~d {c |}{col 14}{res}{space 2} .0312915{col 26}{space 2} .0564047{col 37}{space 1}    0.55{col 46}{space 3}0.580{col 54}{space 4}-.0799837{col 67}{space 3} .1425667
{txt}c_tfull_ed~r {c |}{col 14}{res}{space 2} .0095071{col 26}{space 2} .0036039{col 37}{space 1}    2.64{col 46}{space 3}0.009{col 54}{space 4} .0023975{col 67}{space 3} .0166168
{txt}c_tfull_b_~x {c |}{col 14}{res}{space 2} .0444258{col 26}{space 2} .0162695{col 37}{space 1}    2.73{col 46}{space 3}0.007{col 54}{space 4} .0123293{col 67}{space 3} .0765224
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} -.511236{col 26}{space 2} .0224249{col 37}{space 1}  -22.80{col 46}{space 3}0.000{col 54}{space 4}-.5554759{col 67}{space 3}-.4669962
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull = .076{p_end}

{txt}       F(  1,   186) ={res}    8.23
{txt}{col 13}Prob > F ={res}    0.0046

{p 0 7}{space 1}{text:( 1)}{space 1} treatfull = -.076{p_end}

{txt}       F(  1,   186) ={res}    7.21
{txt}{col 13}Prob > F ={res}    0.0079

{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}     4,930
{txt}{col 49}F({res}   9{txt},{res}    186{txt}){col 67}= {res}     77.06
{txt}{col 49}Prob > F{col 67}= {res}    0.0000
{txt}{col 49}R-squared{col 67}= {res}    0.1110
{txt}{col 49}Adj R-squared{col 67}= {res}    0.1066
{txt}{col 49}Root MSE{col 67}= {res}    0.8984

{txt}{ralign 78:(Std. Err. adjusted for {res:187} clusters in hc_id)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}e_healthou~z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2}-.0025068{col 26}{space 2} .0273728{col 37}{space 1}   -0.09{col 46}{space 3}0.927{col 54}{space 4}-.0565079{col 67}{space 3} .0514943
{txt}b_healthou~z {c |}{col 14}{res}{space 2} .1301056{col 26}{space 2} .0158563{col 37}{space 1}    8.21{col 46}{space 3}0.000{col 54}{space 4} .0988243{col 67}{space 3}  .161387
{txt}b_healthou~d {c |}{col 14}{res}{space 2} .6767453{col 26}{space 2} .0268257{col 37}{space 1}   25.23{col 46}{space 3}0.000{col 54}{space 4} .6238235{col 67}{space 3}  .729667
{txt}{space 1}c_tfull_hc2 {c |}{col 14}{res}{space 2}-.0150939{col 26}{space 2} .0391048{col 37}{space 1}   -0.39{col 46}{space 3}0.700{col 54}{space 4}-.0922398{col 67}{space 3}  .062052
{txt}c_tfull_b_~l {c |}{col 14}{res}{space 2}-.0461058{col 26}{space 2} .0434625{col 37}{space 1}   -1.06{col 46}{space 3}0.290{col 54}{space 4}-.1318486{col 67}{space 3} .0396371
{txt}c_tfull_b_~s {c |}{col 14}{res}{space 2}-.0395781{col 26}{space 2} .0495328{col 37}{space 1}   -0.80{col 46}{space 3}0.425{col 54}{space 4}-.1372963{col 67}{space 3} .0581402
{txt}c_tfull_b_~d {c |}{col 14}{res}{space 2} .0312915{col 26}{space 2} .0564047{col 37}{space 1}    0.55{col 46}{space 3}0.580{col 54}{space 4}-.0799837{col 67}{space 3} .1425667
{txt}c_tfull_ed~r {c |}{col 14}{res}{space 2} .0095071{col 26}{space 2} .0036039{col 37}{space 1}    2.64{col 46}{space 3}0.009{col 54}{space 4} .0023975{col 67}{space 3} .0166168
{txt}c_tfull_b_~x {c |}{col 14}{res}{space 2} .0444258{col 26}{space 2} .0162695{col 37}{space 1}    2.73{col 46}{space 3}0.007{col 54}{space 4} .0123293{col 67}{space 3} .0765224
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} -.511236{col 26}{space 2} .0224249{col 37}{space 1}  -22.80{col 46}{space 3}0.000{col 54}{space 4}-.5554759{col 67}{space 3}-.4669962
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull = .077{p_end}

{txt}       F(  1,   186) ={res}    8.44
{txt}{col 13}Prob > F ={res}    0.0041

{p 0 7}{space 1}{text:( 1)}{space 1} treatfull = -.077{p_end}

{txt}       F(  1,   186) ={res}    7.41
{txt}{col 13}Prob > F ={res}    0.0071

{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}     4,930
{txt}{col 49}F({res}   9{txt},{res}    186{txt}){col 67}= {res}     77.06
{txt}{col 49}Prob > F{col 67}= {res}    0.0000
{txt}{col 49}R-squared{col 67}= {res}    0.1110
{txt}{col 49}Adj R-squared{col 67}= {res}    0.1066
{txt}{col 49}Root MSE{col 67}= {res}    0.8984

{txt}{ralign 78:(Std. Err. adjusted for {res:187} clusters in hc_id)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}e_healthou~z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2}-.0025068{col 26}{space 2} .0273728{col 37}{space 1}   -0.09{col 46}{space 3}0.927{col 54}{space 4}-.0565079{col 67}{space 3} .0514943
{txt}b_healthou~z {c |}{col 14}{res}{space 2} .1301056{col 26}{space 2} .0158563{col 37}{space 1}    8.21{col 46}{space 3}0.000{col 54}{space 4} .0988243{col 67}{space 3}  .161387
{txt}b_healthou~d {c |}{col 14}{res}{space 2} .6767453{col 26}{space 2} .0268257{col 37}{space 1}   25.23{col 46}{space 3}0.000{col 54}{space 4} .6238235{col 67}{space 3}  .729667
{txt}{space 1}c_tfull_hc2 {c |}{col 14}{res}{space 2}-.0150939{col 26}{space 2} .0391048{col 37}{space 1}   -0.39{col 46}{space 3}0.700{col 54}{space 4}-.0922398{col 67}{space 3}  .062052
{txt}c_tfull_b_~l {c |}{col 14}{res}{space 2}-.0461058{col 26}{space 2} .0434625{col 37}{space 1}   -1.06{col 46}{space 3}0.290{col 54}{space 4}-.1318486{col 67}{space 3} .0396371
{txt}c_tfull_b_~s {c |}{col 14}{res}{space 2}-.0395781{col 26}{space 2} .0495328{col 37}{space 1}   -0.80{col 46}{space 3}0.425{col 54}{space 4}-.1372963{col 67}{space 3} .0581402
{txt}c_tfull_b_~d {c |}{col 14}{res}{space 2} .0312915{col 26}{space 2} .0564047{col 37}{space 1}    0.55{col 46}{space 3}0.580{col 54}{space 4}-.0799837{col 67}{space 3} .1425667
{txt}c_tfull_ed~r {c |}{col 14}{res}{space 2} .0095071{col 26}{space 2} .0036039{col 37}{space 1}    2.64{col 46}{space 3}0.009{col 54}{space 4} .0023975{col 67}{space 3} .0166168
{txt}c_tfull_b_~x {c |}{col 14}{res}{space 2} .0444258{col 26}{space 2} .0162695{col 37}{space 1}    2.73{col 46}{space 3}0.007{col 54}{space 4} .0123293{col 67}{space 3} .0765224
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} -.511236{col 26}{space 2} .0224249{col 37}{space 1}  -22.80{col 46}{space 3}0.000{col 54}{space 4}-.5554759{col 67}{space 3}-.4669962
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull = .078{p_end}

{txt}       F(  1,   186) ={res}    8.65
{txt}{col 13}Prob > F ={res}    0.0037

{p 0 7}{space 1}{text:( 1)}{space 1} treatfull = -.078{p_end}

{txt}       F(  1,   186) ={res}    7.61
{txt}{col 13}Prob > F ={res}    0.0064

{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}     4,930
{txt}{col 49}F({res}   9{txt},{res}    186{txt}){col 67}= {res}     77.06
{txt}{col 49}Prob > F{col 67}= {res}    0.0000
{txt}{col 49}R-squared{col 67}= {res}    0.1110
{txt}{col 49}Adj R-squared{col 67}= {res}    0.1066
{txt}{col 49}Root MSE{col 67}= {res}    0.8984

{txt}{ralign 78:(Std. Err. adjusted for {res:187} clusters in hc_id)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}e_healthou~z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2}-.0025068{col 26}{space 2} .0273728{col 37}{space 1}   -0.09{col 46}{space 3}0.927{col 54}{space 4}-.0565079{col 67}{space 3} .0514943
{txt}b_healthou~z {c |}{col 14}{res}{space 2} .1301056{col 26}{space 2} .0158563{col 37}{space 1}    8.21{col 46}{space 3}0.000{col 54}{space 4} .0988243{col 67}{space 3}  .161387
{txt}b_healthou~d {c |}{col 14}{res}{space 2} .6767453{col 26}{space 2} .0268257{col 37}{space 1}   25.23{col 46}{space 3}0.000{col 54}{space 4} .6238235{col 67}{space 3}  .729667
{txt}{space 1}c_tfull_hc2 {c |}{col 14}{res}{space 2}-.0150939{col 26}{space 2} .0391048{col 37}{space 1}   -0.39{col 46}{space 3}0.700{col 54}{space 4}-.0922398{col 67}{space 3}  .062052
{txt}c_tfull_b_~l {c |}{col 14}{res}{space 2}-.0461058{col 26}{space 2} .0434625{col 37}{space 1}   -1.06{col 46}{space 3}0.290{col 54}{space 4}-.1318486{col 67}{space 3} .0396371
{txt}c_tfull_b_~s {c |}{col 14}{res}{space 2}-.0395781{col 26}{space 2} .0495328{col 37}{space 1}   -0.80{col 46}{space 3}0.425{col 54}{space 4}-.1372963{col 67}{space 3} .0581402
{txt}c_tfull_b_~d {c |}{col 14}{res}{space 2} .0312915{col 26}{space 2} .0564047{col 37}{space 1}    0.55{col 46}{space 3}0.580{col 54}{space 4}-.0799837{col 67}{space 3} .1425667
{txt}c_tfull_ed~r {c |}{col 14}{res}{space 2} .0095071{col 26}{space 2} .0036039{col 37}{space 1}    2.64{col 46}{space 3}0.009{col 54}{space 4} .0023975{col 67}{space 3} .0166168
{txt}c_tfull_b_~x {c |}{col 14}{res}{space 2} .0444258{col 26}{space 2} .0162695{col 37}{space 1}    2.73{col 46}{space 3}0.007{col 54}{space 4} .0123293{col 67}{space 3} .0765224
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} -.511236{col 26}{space 2} .0224249{col 37}{space 1}  -22.80{col 46}{space 3}0.000{col 54}{space 4}-.5554759{col 67}{space 3}-.4669962
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull = .079{p_end}

{txt}       F(  1,   186) ={res}    8.87
{txt}{col 13}Prob > F ={res}    0.0033

{p 0 7}{space 1}{text:( 1)}{space 1} treatfull = -.079{p_end}

{txt}       F(  1,   186) ={res}    7.81
{txt}{col 13}Prob > F ={res}    0.0057

{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}     4,930
{txt}{col 49}F({res}   9{txt},{res}    186{txt}){col 67}= {res}     77.06
{txt}{col 49}Prob > F{col 67}= {res}    0.0000
{txt}{col 49}R-squared{col 67}= {res}    0.1110
{txt}{col 49}Adj R-squared{col 67}= {res}    0.1066
{txt}{col 49}Root MSE{col 67}= {res}    0.8984

{txt}{ralign 78:(Std. Err. adjusted for {res:187} clusters in hc_id)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}e_healthou~z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2}-.0025068{col 26}{space 2} .0273728{col 37}{space 1}   -0.09{col 46}{space 3}0.927{col 54}{space 4}-.0565079{col 67}{space 3} .0514943
{txt}b_healthou~z {c |}{col 14}{res}{space 2} .1301056{col 26}{space 2} .0158563{col 37}{space 1}    8.21{col 46}{space 3}0.000{col 54}{space 4} .0988243{col 67}{space 3}  .161387
{txt}b_healthou~d {c |}{col 14}{res}{space 2} .6767453{col 26}{space 2} .0268257{col 37}{space 1}   25.23{col 46}{space 3}0.000{col 54}{space 4} .6238235{col 67}{space 3}  .729667
{txt}{space 1}c_tfull_hc2 {c |}{col 14}{res}{space 2}-.0150939{col 26}{space 2} .0391048{col 37}{space 1}   -0.39{col 46}{space 3}0.700{col 54}{space 4}-.0922398{col 67}{space 3}  .062052
{txt}c_tfull_b_~l {c |}{col 14}{res}{space 2}-.0461058{col 26}{space 2} .0434625{col 37}{space 1}   -1.06{col 46}{space 3}0.290{col 54}{space 4}-.1318486{col 67}{space 3} .0396371
{txt}c_tfull_b_~s {c |}{col 14}{res}{space 2}-.0395781{col 26}{space 2} .0495328{col 37}{space 1}   -0.80{col 46}{space 3}0.425{col 54}{space 4}-.1372963{col 67}{space 3} .0581402
{txt}c_tfull_b_~d {c |}{col 14}{res}{space 2} .0312915{col 26}{space 2} .0564047{col 37}{space 1}    0.55{col 46}{space 3}0.580{col 54}{space 4}-.0799837{col 67}{space 3} .1425667
{txt}c_tfull_ed~r {c |}{col 14}{res}{space 2} .0095071{col 26}{space 2} .0036039{col 37}{space 1}    2.64{col 46}{space 3}0.009{col 54}{space 4} .0023975{col 67}{space 3} .0166168
{txt}c_tfull_b_~x {c |}{col 14}{res}{space 2} .0444258{col 26}{space 2} .0162695{col 37}{space 1}    2.73{col 46}{space 3}0.007{col 54}{space 4} .0123293{col 67}{space 3} .0765224
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} -.511236{col 26}{space 2} .0224249{col 37}{space 1}  -22.80{col 46}{space 3}0.000{col 54}{space 4}-.5554759{col 67}{space 3}-.4669962
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull = .08{p_end}

{txt}       F(  1,   186) ={res}    9.09
{txt}{col 13}Prob > F ={res}    0.0029

{p 0 7}{space 1}{text:( 1)}{space 1} treatfull = -.08{p_end}

{txt}       F(  1,   186) ={res}    8.01
{txt}{col 13}Prob > F ={res}    0.0052

{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}     4,930
{txt}{col 49}F({res}   9{txt},{res}    186{txt}){col 67}= {res}     77.06
{txt}{col 49}Prob > F{col 67}= {res}    0.0000
{txt}{col 49}R-squared{col 67}= {res}    0.1110
{txt}{col 49}Adj R-squared{col 67}= {res}    0.1066
{txt}{col 49}Root MSE{col 67}= {res}    0.8984

{txt}{ralign 78:(Std. Err. adjusted for {res:187} clusters in hc_id)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}e_healthou~z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2}-.0025068{col 26}{space 2} .0273728{col 37}{space 1}   -0.09{col 46}{space 3}0.927{col 54}{space 4}-.0565079{col 67}{space 3} .0514943
{txt}b_healthou~z {c |}{col 14}{res}{space 2} .1301056{col 26}{space 2} .0158563{col 37}{space 1}    8.21{col 46}{space 3}0.000{col 54}{space 4} .0988243{col 67}{space 3}  .161387
{txt}b_healthou~d {c |}{col 14}{res}{space 2} .6767453{col 26}{space 2} .0268257{col 37}{space 1}   25.23{col 46}{space 3}0.000{col 54}{space 4} .6238235{col 67}{space 3}  .729667
{txt}{space 1}c_tfull_hc2 {c |}{col 14}{res}{space 2}-.0150939{col 26}{space 2} .0391048{col 37}{space 1}   -0.39{col 46}{space 3}0.700{col 54}{space 4}-.0922398{col 67}{space 3}  .062052
{txt}c_tfull_b_~l {c |}{col 14}{res}{space 2}-.0461058{col 26}{space 2} .0434625{col 37}{space 1}   -1.06{col 46}{space 3}0.290{col 54}{space 4}-.1318486{col 67}{space 3} .0396371
{txt}c_tfull_b_~s {c |}{col 14}{res}{space 2}-.0395781{col 26}{space 2} .0495328{col 37}{space 1}   -0.80{col 46}{space 3}0.425{col 54}{space 4}-.1372963{col 67}{space 3} .0581402
{txt}c_tfull_b_~d {c |}{col 14}{res}{space 2} .0312915{col 26}{space 2} .0564047{col 37}{space 1}    0.55{col 46}{space 3}0.580{col 54}{space 4}-.0799837{col 67}{space 3} .1425667
{txt}c_tfull_ed~r {c |}{col 14}{res}{space 2} .0095071{col 26}{space 2} .0036039{col 37}{space 1}    2.64{col 46}{space 3}0.009{col 54}{space 4} .0023975{col 67}{space 3} .0166168
{txt}c_tfull_b_~x {c |}{col 14}{res}{space 2} .0444258{col 26}{space 2} .0162695{col 37}{space 1}    2.73{col 46}{space 3}0.007{col 54}{space 4} .0123293{col 67}{space 3} .0765224
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} -.511236{col 26}{space 2} .0224249{col 37}{space 1}  -22.80{col 46}{space 3}0.000{col 54}{space 4}-.5554759{col 67}{space 3}-.4669962
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull = .081{p_end}

{txt}       F(  1,   186) ={res}    9.31
{txt}{col 13}Prob > F ={res}    0.0026

{p 0 7}{space 1}{text:( 1)}{space 1} treatfull = -.081{p_end}

{txt}       F(  1,   186) ={res}    8.22
{txt}{col 13}Prob > F ={res}    0.0046

{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}     4,930
{txt}{col 49}F({res}   9{txt},{res}    186{txt}){col 67}= {res}     77.06
{txt}{col 49}Prob > F{col 67}= {res}    0.0000
{txt}{col 49}R-squared{col 67}= {res}    0.1110
{txt}{col 49}Adj R-squared{col 67}= {res}    0.1066
{txt}{col 49}Root MSE{col 67}= {res}    0.8984

{txt}{ralign 78:(Std. Err. adjusted for {res:187} clusters in hc_id)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}e_healthou~z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2}-.0025068{col 26}{space 2} .0273728{col 37}{space 1}   -0.09{col 46}{space 3}0.927{col 54}{space 4}-.0565079{col 67}{space 3} .0514943
{txt}b_healthou~z {c |}{col 14}{res}{space 2} .1301056{col 26}{space 2} .0158563{col 37}{space 1}    8.21{col 46}{space 3}0.000{col 54}{space 4} .0988243{col 67}{space 3}  .161387
{txt}b_healthou~d {c |}{col 14}{res}{space 2} .6767453{col 26}{space 2} .0268257{col 37}{space 1}   25.23{col 46}{space 3}0.000{col 54}{space 4} .6238235{col 67}{space 3}  .729667
{txt}{space 1}c_tfull_hc2 {c |}{col 14}{res}{space 2}-.0150939{col 26}{space 2} .0391048{col 37}{space 1}   -0.39{col 46}{space 3}0.700{col 54}{space 4}-.0922398{col 67}{space 3}  .062052
{txt}c_tfull_b_~l {c |}{col 14}{res}{space 2}-.0461058{col 26}{space 2} .0434625{col 37}{space 1}   -1.06{col 46}{space 3}0.290{col 54}{space 4}-.1318486{col 67}{space 3} .0396371
{txt}c_tfull_b_~s {c |}{col 14}{res}{space 2}-.0395781{col 26}{space 2} .0495328{col 37}{space 1}   -0.80{col 46}{space 3}0.425{col 54}{space 4}-.1372963{col 67}{space 3} .0581402
{txt}c_tfull_b_~d {c |}{col 14}{res}{space 2} .0312915{col 26}{space 2} .0564047{col 37}{space 1}    0.55{col 46}{space 3}0.580{col 54}{space 4}-.0799837{col 67}{space 3} .1425667
{txt}c_tfull_ed~r {c |}{col 14}{res}{space 2} .0095071{col 26}{space 2} .0036039{col 37}{space 1}    2.64{col 46}{space 3}0.009{col 54}{space 4} .0023975{col 67}{space 3} .0166168
{txt}c_tfull_b_~x {c |}{col 14}{res}{space 2} .0444258{col 26}{space 2} .0162695{col 37}{space 1}    2.73{col 46}{space 3}0.007{col 54}{space 4} .0123293{col 67}{space 3} .0765224
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} -.511236{col 26}{space 2} .0224249{col 37}{space 1}  -22.80{col 46}{space 3}0.000{col 54}{space 4}-.5554759{col 67}{space 3}-.4669962
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull = .082{p_end}

{txt}       F(  1,   186) ={res}    9.53
{txt}{col 13}Prob > F ={res}    0.0023

{p 0 7}{space 1}{text:( 1)}{space 1} treatfull = -.082{p_end}

{txt}       F(  1,   186) ={res}    8.43
{txt}{col 13}Prob > F ={res}    0.0041

{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}     4,930
{txt}{col 49}F({res}   9{txt},{res}    186{txt}){col 67}= {res}     77.06
{txt}{col 49}Prob > F{col 67}= {res}    0.0000
{txt}{col 49}R-squared{col 67}= {res}    0.1110
{txt}{col 49}Adj R-squared{col 67}= {res}    0.1066
{txt}{col 49}Root MSE{col 67}= {res}    0.8984

{txt}{ralign 78:(Std. Err. adjusted for {res:187} clusters in hc_id)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}e_healthou~z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2}-.0025068{col 26}{space 2} .0273728{col 37}{space 1}   -0.09{col 46}{space 3}0.927{col 54}{space 4}-.0565079{col 67}{space 3} .0514943
{txt}b_healthou~z {c |}{col 14}{res}{space 2} .1301056{col 26}{space 2} .0158563{col 37}{space 1}    8.21{col 46}{space 3}0.000{col 54}{space 4} .0988243{col 67}{space 3}  .161387
{txt}b_healthou~d {c |}{col 14}{res}{space 2} .6767453{col 26}{space 2} .0268257{col 37}{space 1}   25.23{col 46}{space 3}0.000{col 54}{space 4} .6238235{col 67}{space 3}  .729667
{txt}{space 1}c_tfull_hc2 {c |}{col 14}{res}{space 2}-.0150939{col 26}{space 2} .0391048{col 37}{space 1}   -0.39{col 46}{space 3}0.700{col 54}{space 4}-.0922398{col 67}{space 3}  .062052
{txt}c_tfull_b_~l {c |}{col 14}{res}{space 2}-.0461058{col 26}{space 2} .0434625{col 37}{space 1}   -1.06{col 46}{space 3}0.290{col 54}{space 4}-.1318486{col 67}{space 3} .0396371
{txt}c_tfull_b_~s {c |}{col 14}{res}{space 2}-.0395781{col 26}{space 2} .0495328{col 37}{space 1}   -0.80{col 46}{space 3}0.425{col 54}{space 4}-.1372963{col 67}{space 3} .0581402
{txt}c_tfull_b_~d {c |}{col 14}{res}{space 2} .0312915{col 26}{space 2} .0564047{col 37}{space 1}    0.55{col 46}{space 3}0.580{col 54}{space 4}-.0799837{col 67}{space 3} .1425667
{txt}c_tfull_ed~r {c |}{col 14}{res}{space 2} .0095071{col 26}{space 2} .0036039{col 37}{space 1}    2.64{col 46}{space 3}0.009{col 54}{space 4} .0023975{col 67}{space 3} .0166168
{txt}c_tfull_b_~x {c |}{col 14}{res}{space 2} .0444258{col 26}{space 2} .0162695{col 37}{space 1}    2.73{col 46}{space 3}0.007{col 54}{space 4} .0123293{col 67}{space 3} .0765224
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} -.511236{col 26}{space 2} .0224249{col 37}{space 1}  -22.80{col 46}{space 3}0.000{col 54}{space 4}-.5554759{col 67}{space 3}-.4669962
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull = .083{p_end}

{txt}       F(  1,   186) ={res}    9.76
{txt}{col 13}Prob > F ={res}    0.0021

{p 0 7}{space 1}{text:( 1)}{space 1} treatfull = -.083{p_end}

{txt}       F(  1,   186) ={res}    8.65
{txt}{col 13}Prob > F ={res}    0.0037

{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}     4,930
{txt}{col 49}F({res}   9{txt},{res}    186{txt}){col 67}= {res}     77.06
{txt}{col 49}Prob > F{col 67}= {res}    0.0000
{txt}{col 49}R-squared{col 67}= {res}    0.1110
{txt}{col 49}Adj R-squared{col 67}= {res}    0.1066
{txt}{col 49}Root MSE{col 67}= {res}    0.8984

{txt}{ralign 78:(Std. Err. adjusted for {res:187} clusters in hc_id)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}e_healthou~z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2}-.0025068{col 26}{space 2} .0273728{col 37}{space 1}   -0.09{col 46}{space 3}0.927{col 54}{space 4}-.0565079{col 67}{space 3} .0514943
{txt}b_healthou~z {c |}{col 14}{res}{space 2} .1301056{col 26}{space 2} .0158563{col 37}{space 1}    8.21{col 46}{space 3}0.000{col 54}{space 4} .0988243{col 67}{space 3}  .161387
{txt}b_healthou~d {c |}{col 14}{res}{space 2} .6767453{col 26}{space 2} .0268257{col 37}{space 1}   25.23{col 46}{space 3}0.000{col 54}{space 4} .6238235{col 67}{space 3}  .729667
{txt}{space 1}c_tfull_hc2 {c |}{col 14}{res}{space 2}-.0150939{col 26}{space 2} .0391048{col 37}{space 1}   -0.39{col 46}{space 3}0.700{col 54}{space 4}-.0922398{col 67}{space 3}  .062052
{txt}c_tfull_b_~l {c |}{col 14}{res}{space 2}-.0461058{col 26}{space 2} .0434625{col 37}{space 1}   -1.06{col 46}{space 3}0.290{col 54}{space 4}-.1318486{col 67}{space 3} .0396371
{txt}c_tfull_b_~s {c |}{col 14}{res}{space 2}-.0395781{col 26}{space 2} .0495328{col 37}{space 1}   -0.80{col 46}{space 3}0.425{col 54}{space 4}-.1372963{col 67}{space 3} .0581402
{txt}c_tfull_b_~d {c |}{col 14}{res}{space 2} .0312915{col 26}{space 2} .0564047{col 37}{space 1}    0.55{col 46}{space 3}0.580{col 54}{space 4}-.0799837{col 67}{space 3} .1425667
{txt}c_tfull_ed~r {c |}{col 14}{res}{space 2} .0095071{col 26}{space 2} .0036039{col 37}{space 1}    2.64{col 46}{space 3}0.009{col 54}{space 4} .0023975{col 67}{space 3} .0166168
{txt}c_tfull_b_~x {c |}{col 14}{res}{space 2} .0444258{col 26}{space 2} .0162695{col 37}{space 1}    2.73{col 46}{space 3}0.007{col 54}{space 4} .0123293{col 67}{space 3} .0765224
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} -.511236{col 26}{space 2} .0224249{col 37}{space 1}  -22.80{col 46}{space 3}0.000{col 54}{space 4}-.5554759{col 67}{space 3}-.4669962
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull = .084{p_end}

{txt}       F(  1,   186) ={res}    9.99
{txt}{col 13}Prob > F ={res}    0.0018

{p 0 7}{space 1}{text:( 1)}{space 1} treatfull = -.084{p_end}

{txt}       F(  1,   186) ={res}    8.86
{txt}{col 13}Prob > F ={res}    0.0033

{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}     4,930
{txt}{col 49}F({res}   9{txt},{res}    186{txt}){col 67}= {res}     77.06
{txt}{col 49}Prob > F{col 67}= {res}    0.0000
{txt}{col 49}R-squared{col 67}= {res}    0.1110
{txt}{col 49}Adj R-squared{col 67}= {res}    0.1066
{txt}{col 49}Root MSE{col 67}= {res}    0.8984

{txt}{ralign 78:(Std. Err. adjusted for {res:187} clusters in hc_id)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}e_healthou~z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2}-.0025068{col 26}{space 2} .0273728{col 37}{space 1}   -0.09{col 46}{space 3}0.927{col 54}{space 4}-.0565079{col 67}{space 3} .0514943
{txt}b_healthou~z {c |}{col 14}{res}{space 2} .1301056{col 26}{space 2} .0158563{col 37}{space 1}    8.21{col 46}{space 3}0.000{col 54}{space 4} .0988243{col 67}{space 3}  .161387
{txt}b_healthou~d {c |}{col 14}{res}{space 2} .6767453{col 26}{space 2} .0268257{col 37}{space 1}   25.23{col 46}{space 3}0.000{col 54}{space 4} .6238235{col 67}{space 3}  .729667
{txt}{space 1}c_tfull_hc2 {c |}{col 14}{res}{space 2}-.0150939{col 26}{space 2} .0391048{col 37}{space 1}   -0.39{col 46}{space 3}0.700{col 54}{space 4}-.0922398{col 67}{space 3}  .062052
{txt}c_tfull_b_~l {c |}{col 14}{res}{space 2}-.0461058{col 26}{space 2} .0434625{col 37}{space 1}   -1.06{col 46}{space 3}0.290{col 54}{space 4}-.1318486{col 67}{space 3} .0396371
{txt}c_tfull_b_~s {c |}{col 14}{res}{space 2}-.0395781{col 26}{space 2} .0495328{col 37}{space 1}   -0.80{col 46}{space 3}0.425{col 54}{space 4}-.1372963{col 67}{space 3} .0581402
{txt}c_tfull_b_~d {c |}{col 14}{res}{space 2} .0312915{col 26}{space 2} .0564047{col 37}{space 1}    0.55{col 46}{space 3}0.580{col 54}{space 4}-.0799837{col 67}{space 3} .1425667
{txt}c_tfull_ed~r {c |}{col 14}{res}{space 2} .0095071{col 26}{space 2} .0036039{col 37}{space 1}    2.64{col 46}{space 3}0.009{col 54}{space 4} .0023975{col 67}{space 3} .0166168
{txt}c_tfull_b_~x {c |}{col 14}{res}{space 2} .0444258{col 26}{space 2} .0162695{col 37}{space 1}    2.73{col 46}{space 3}0.007{col 54}{space 4} .0123293{col 67}{space 3} .0765224
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} -.511236{col 26}{space 2} .0224249{col 37}{space 1}  -22.80{col 46}{space 3}0.000{col 54}{space 4}-.5554759{col 67}{space 3}-.4669962
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull = .085{p_end}

{txt}       F(  1,   186) ={res}   10.22
{txt}{col 13}Prob > F ={res}    0.0016

{p 0 7}{space 1}{text:( 1)}{space 1} treatfull = -.085{p_end}

{txt}       F(  1,   186) ={res}    9.08
{txt}{col 13}Prob > F ={res}    0.0029

{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}     4,930
{txt}{col 49}F({res}   9{txt},{res}    186{txt}){col 67}= {res}     77.06
{txt}{col 49}Prob > F{col 67}= {res}    0.0000
{txt}{col 49}R-squared{col 67}= {res}    0.1110
{txt}{col 49}Adj R-squared{col 67}= {res}    0.1066
{txt}{col 49}Root MSE{col 67}= {res}    0.8984

{txt}{ralign 78:(Std. Err. adjusted for {res:187} clusters in hc_id)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}e_healthou~z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2}-.0025068{col 26}{space 2} .0273728{col 37}{space 1}   -0.09{col 46}{space 3}0.927{col 54}{space 4}-.0565079{col 67}{space 3} .0514943
{txt}b_healthou~z {c |}{col 14}{res}{space 2} .1301056{col 26}{space 2} .0158563{col 37}{space 1}    8.21{col 46}{space 3}0.000{col 54}{space 4} .0988243{col 67}{space 3}  .161387
{txt}b_healthou~d {c |}{col 14}{res}{space 2} .6767453{col 26}{space 2} .0268257{col 37}{space 1}   25.23{col 46}{space 3}0.000{col 54}{space 4} .6238235{col 67}{space 3}  .729667
{txt}{space 1}c_tfull_hc2 {c |}{col 14}{res}{space 2}-.0150939{col 26}{space 2} .0391048{col 37}{space 1}   -0.39{col 46}{space 3}0.700{col 54}{space 4}-.0922398{col 67}{space 3}  .062052
{txt}c_tfull_b_~l {c |}{col 14}{res}{space 2}-.0461058{col 26}{space 2} .0434625{col 37}{space 1}   -1.06{col 46}{space 3}0.290{col 54}{space 4}-.1318486{col 67}{space 3} .0396371
{txt}c_tfull_b_~s {c |}{col 14}{res}{space 2}-.0395781{col 26}{space 2} .0495328{col 37}{space 1}   -0.80{col 46}{space 3}0.425{col 54}{space 4}-.1372963{col 67}{space 3} .0581402
{txt}c_tfull_b_~d {c |}{col 14}{res}{space 2} .0312915{col 26}{space 2} .0564047{col 37}{space 1}    0.55{col 46}{space 3}0.580{col 54}{space 4}-.0799837{col 67}{space 3} .1425667
{txt}c_tfull_ed~r {c |}{col 14}{res}{space 2} .0095071{col 26}{space 2} .0036039{col 37}{space 1}    2.64{col 46}{space 3}0.009{col 54}{space 4} .0023975{col 67}{space 3} .0166168
{txt}c_tfull_b_~x {c |}{col 14}{res}{space 2} .0444258{col 26}{space 2} .0162695{col 37}{space 1}    2.73{col 46}{space 3}0.007{col 54}{space 4} .0123293{col 67}{space 3} .0765224
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} -.511236{col 26}{space 2} .0224249{col 37}{space 1}  -22.80{col 46}{space 3}0.000{col 54}{space 4}-.5554759{col 67}{space 3}-.4669962
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull = .086{p_end}

{txt}       F(  1,   186) ={res}   10.45
{txt}{col 13}Prob > F ={res}    0.0014

{p 0 7}{space 1}{text:( 1)}{space 1} treatfull = -.086{p_end}

{txt}       F(  1,   186) ={res}    9.30
{txt}{col 13}Prob > F ={res}    0.0026

{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}     4,930
{txt}{col 49}F({res}   9{txt},{res}    186{txt}){col 67}= {res}     77.06
{txt}{col 49}Prob > F{col 67}= {res}    0.0000
{txt}{col 49}R-squared{col 67}= {res}    0.1110
{txt}{col 49}Adj R-squared{col 67}= {res}    0.1066
{txt}{col 49}Root MSE{col 67}= {res}    0.8984

{txt}{ralign 78:(Std. Err. adjusted for {res:187} clusters in hc_id)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}e_healthou~z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2}-.0025068{col 26}{space 2} .0273728{col 37}{space 1}   -0.09{col 46}{space 3}0.927{col 54}{space 4}-.0565079{col 67}{space 3} .0514943
{txt}b_healthou~z {c |}{col 14}{res}{space 2} .1301056{col 26}{space 2} .0158563{col 37}{space 1}    8.21{col 46}{space 3}0.000{col 54}{space 4} .0988243{col 67}{space 3}  .161387
{txt}b_healthou~d {c |}{col 14}{res}{space 2} .6767453{col 26}{space 2} .0268257{col 37}{space 1}   25.23{col 46}{space 3}0.000{col 54}{space 4} .6238235{col 67}{space 3}  .729667
{txt}{space 1}c_tfull_hc2 {c |}{col 14}{res}{space 2}-.0150939{col 26}{space 2} .0391048{col 37}{space 1}   -0.39{col 46}{space 3}0.700{col 54}{space 4}-.0922398{col 67}{space 3}  .062052
{txt}c_tfull_b_~l {c |}{col 14}{res}{space 2}-.0461058{col 26}{space 2} .0434625{col 37}{space 1}   -1.06{col 46}{space 3}0.290{col 54}{space 4}-.1318486{col 67}{space 3} .0396371
{txt}c_tfull_b_~s {c |}{col 14}{res}{space 2}-.0395781{col 26}{space 2} .0495328{col 37}{space 1}   -0.80{col 46}{space 3}0.425{col 54}{space 4}-.1372963{col 67}{space 3} .0581402
{txt}c_tfull_b_~d {c |}{col 14}{res}{space 2} .0312915{col 26}{space 2} .0564047{col 37}{space 1}    0.55{col 46}{space 3}0.580{col 54}{space 4}-.0799837{col 67}{space 3} .1425667
{txt}c_tfull_ed~r {c |}{col 14}{res}{space 2} .0095071{col 26}{space 2} .0036039{col 37}{space 1}    2.64{col 46}{space 3}0.009{col 54}{space 4} .0023975{col 67}{space 3} .0166168
{txt}c_tfull_b_~x {c |}{col 14}{res}{space 2} .0444258{col 26}{space 2} .0162695{col 37}{space 1}    2.73{col 46}{space 3}0.007{col 54}{space 4} .0123293{col 67}{space 3} .0765224
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} -.511236{col 26}{space 2} .0224249{col 37}{space 1}  -22.80{col 46}{space 3}0.000{col 54}{space 4}-.5554759{col 67}{space 3}-.4669962
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull = .087{p_end}

{txt}       F(  1,   186) ={res}   10.69
{txt}{col 13}Prob > F ={res}    0.0013

{p 0 7}{space 1}{text:( 1)}{space 1} treatfull = -.087{p_end}

{txt}       F(  1,   186) ={res}    9.53
{txt}{col 13}Prob > F ={res}    0.0023

{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}     4,930
{txt}{col 49}F({res}   9{txt},{res}    186{txt}){col 67}= {res}     77.06
{txt}{col 49}Prob > F{col 67}= {res}    0.0000
{txt}{col 49}R-squared{col 67}= {res}    0.1110
{txt}{col 49}Adj R-squared{col 67}= {res}    0.1066
{txt}{col 49}Root MSE{col 67}= {res}    0.8984

{txt}{ralign 78:(Std. Err. adjusted for {res:187} clusters in hc_id)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}e_healthou~z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2}-.0025068{col 26}{space 2} .0273728{col 37}{space 1}   -0.09{col 46}{space 3}0.927{col 54}{space 4}-.0565079{col 67}{space 3} .0514943
{txt}b_healthou~z {c |}{col 14}{res}{space 2} .1301056{col 26}{space 2} .0158563{col 37}{space 1}    8.21{col 46}{space 3}0.000{col 54}{space 4} .0988243{col 67}{space 3}  .161387
{txt}b_healthou~d {c |}{col 14}{res}{space 2} .6767453{col 26}{space 2} .0268257{col 37}{space 1}   25.23{col 46}{space 3}0.000{col 54}{space 4} .6238235{col 67}{space 3}  .729667
{txt}{space 1}c_tfull_hc2 {c |}{col 14}{res}{space 2}-.0150939{col 26}{space 2} .0391048{col 37}{space 1}   -0.39{col 46}{space 3}0.700{col 54}{space 4}-.0922398{col 67}{space 3}  .062052
{txt}c_tfull_b_~l {c |}{col 14}{res}{space 2}-.0461058{col 26}{space 2} .0434625{col 37}{space 1}   -1.06{col 46}{space 3}0.290{col 54}{space 4}-.1318486{col 67}{space 3} .0396371
{txt}c_tfull_b_~s {c |}{col 14}{res}{space 2}-.0395781{col 26}{space 2} .0495328{col 37}{space 1}   -0.80{col 46}{space 3}0.425{col 54}{space 4}-.1372963{col 67}{space 3} .0581402
{txt}c_tfull_b_~d {c |}{col 14}{res}{space 2} .0312915{col 26}{space 2} .0564047{col 37}{space 1}    0.55{col 46}{space 3}0.580{col 54}{space 4}-.0799837{col 67}{space 3} .1425667
{txt}c_tfull_ed~r {c |}{col 14}{res}{space 2} .0095071{col 26}{space 2} .0036039{col 37}{space 1}    2.64{col 46}{space 3}0.009{col 54}{space 4} .0023975{col 67}{space 3} .0166168
{txt}c_tfull_b_~x {c |}{col 14}{res}{space 2} .0444258{col 26}{space 2} .0162695{col 37}{space 1}    2.73{col 46}{space 3}0.007{col 54}{space 4} .0123293{col 67}{space 3} .0765224
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} -.511236{col 26}{space 2} .0224249{col 37}{space 1}  -22.80{col 46}{space 3}0.000{col 54}{space 4}-.5554759{col 67}{space 3}-.4669962
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull = .088{p_end}

{txt}       F(  1,   186) ={res}   10.93
{txt}{col 13}Prob > F ={res}    0.0011

{p 0 7}{space 1}{text:( 1)}{space 1} treatfull = -.088{p_end}

{txt}       F(  1,   186) ={res}    9.75
{txt}{col 13}Prob > F ={res}    0.0021

{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}     4,930
{txt}{col 49}F({res}   9{txt},{res}    186{txt}){col 67}= {res}     77.06
{txt}{col 49}Prob > F{col 67}= {res}    0.0000
{txt}{col 49}R-squared{col 67}= {res}    0.1110
{txt}{col 49}Adj R-squared{col 67}= {res}    0.1066
{txt}{col 49}Root MSE{col 67}= {res}    0.8984

{txt}{ralign 78:(Std. Err. adjusted for {res:187} clusters in hc_id)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}e_healthou~z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2}-.0025068{col 26}{space 2} .0273728{col 37}{space 1}   -0.09{col 46}{space 3}0.927{col 54}{space 4}-.0565079{col 67}{space 3} .0514943
{txt}b_healthou~z {c |}{col 14}{res}{space 2} .1301056{col 26}{space 2} .0158563{col 37}{space 1}    8.21{col 46}{space 3}0.000{col 54}{space 4} .0988243{col 67}{space 3}  .161387
{txt}b_healthou~d {c |}{col 14}{res}{space 2} .6767453{col 26}{space 2} .0268257{col 37}{space 1}   25.23{col 46}{space 3}0.000{col 54}{space 4} .6238235{col 67}{space 3}  .729667
{txt}{space 1}c_tfull_hc2 {c |}{col 14}{res}{space 2}-.0150939{col 26}{space 2} .0391048{col 37}{space 1}   -0.39{col 46}{space 3}0.700{col 54}{space 4}-.0922398{col 67}{space 3}  .062052
{txt}c_tfull_b_~l {c |}{col 14}{res}{space 2}-.0461058{col 26}{space 2} .0434625{col 37}{space 1}   -1.06{col 46}{space 3}0.290{col 54}{space 4}-.1318486{col 67}{space 3} .0396371
{txt}c_tfull_b_~s {c |}{col 14}{res}{space 2}-.0395781{col 26}{space 2} .0495328{col 37}{space 1}   -0.80{col 46}{space 3}0.425{col 54}{space 4}-.1372963{col 67}{space 3} .0581402
{txt}c_tfull_b_~d {c |}{col 14}{res}{space 2} .0312915{col 26}{space 2} .0564047{col 37}{space 1}    0.55{col 46}{space 3}0.580{col 54}{space 4}-.0799837{col 67}{space 3} .1425667
{txt}c_tfull_ed~r {c |}{col 14}{res}{space 2} .0095071{col 26}{space 2} .0036039{col 37}{space 1}    2.64{col 46}{space 3}0.009{col 54}{space 4} .0023975{col 67}{space 3} .0166168
{txt}c_tfull_b_~x {c |}{col 14}{res}{space 2} .0444258{col 26}{space 2} .0162695{col 37}{space 1}    2.73{col 46}{space 3}0.007{col 54}{space 4} .0123293{col 67}{space 3} .0765224
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} -.511236{col 26}{space 2} .0224249{col 37}{space 1}  -22.80{col 46}{space 3}0.000{col 54}{space 4}-.5554759{col 67}{space 3}-.4669962
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull = .089{p_end}

{txt}       F(  1,   186) ={res}   11.18
{txt}{col 13}Prob > F ={res}    0.0010

{p 0 7}{space 1}{text:( 1)}{space 1} treatfull = -.089{p_end}

{txt}       F(  1,   186) ={res}    9.98
{txt}{col 13}Prob > F ={res}    0.0018

{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}     4,930
{txt}{col 49}F({res}   9{txt},{res}    186{txt}){col 67}= {res}     77.06
{txt}{col 49}Prob > F{col 67}= {res}    0.0000
{txt}{col 49}R-squared{col 67}= {res}    0.1110
{txt}{col 49}Adj R-squared{col 67}= {res}    0.1066
{txt}{col 49}Root MSE{col 67}= {res}    0.8984

{txt}{ralign 78:(Std. Err. adjusted for {res:187} clusters in hc_id)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}e_healthou~z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2}-.0025068{col 26}{space 2} .0273728{col 37}{space 1}   -0.09{col 46}{space 3}0.927{col 54}{space 4}-.0565079{col 67}{space 3} .0514943
{txt}b_healthou~z {c |}{col 14}{res}{space 2} .1301056{col 26}{space 2} .0158563{col 37}{space 1}    8.21{col 46}{space 3}0.000{col 54}{space 4} .0988243{col 67}{space 3}  .161387
{txt}b_healthou~d {c |}{col 14}{res}{space 2} .6767453{col 26}{space 2} .0268257{col 37}{space 1}   25.23{col 46}{space 3}0.000{col 54}{space 4} .6238235{col 67}{space 3}  .729667
{txt}{space 1}c_tfull_hc2 {c |}{col 14}{res}{space 2}-.0150939{col 26}{space 2} .0391048{col 37}{space 1}   -0.39{col 46}{space 3}0.700{col 54}{space 4}-.0922398{col 67}{space 3}  .062052
{txt}c_tfull_b_~l {c |}{col 14}{res}{space 2}-.0461058{col 26}{space 2} .0434625{col 37}{space 1}   -1.06{col 46}{space 3}0.290{col 54}{space 4}-.1318486{col 67}{space 3} .0396371
{txt}c_tfull_b_~s {c |}{col 14}{res}{space 2}-.0395781{col 26}{space 2} .0495328{col 37}{space 1}   -0.80{col 46}{space 3}0.425{col 54}{space 4}-.1372963{col 67}{space 3} .0581402
{txt}c_tfull_b_~d {c |}{col 14}{res}{space 2} .0312915{col 26}{space 2} .0564047{col 37}{space 1}    0.55{col 46}{space 3}0.580{col 54}{space 4}-.0799837{col 67}{space 3} .1425667
{txt}c_tfull_ed~r {c |}{col 14}{res}{space 2} .0095071{col 26}{space 2} .0036039{col 37}{space 1}    2.64{col 46}{space 3}0.009{col 54}{space 4} .0023975{col 67}{space 3} .0166168
{txt}c_tfull_b_~x {c |}{col 14}{res}{space 2} .0444258{col 26}{space 2} .0162695{col 37}{space 1}    2.73{col 46}{space 3}0.007{col 54}{space 4} .0123293{col 67}{space 3} .0765224
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} -.511236{col 26}{space 2} .0224249{col 37}{space 1}  -22.80{col 46}{space 3}0.000{col 54}{space 4}-.5554759{col 67}{space 3}-.4669962
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull = .09{p_end}

{txt}       F(  1,   186) ={res}   11.42
{txt}{col 13}Prob > F ={res}    0.0009

{p 0 7}{space 1}{text:( 1)}{space 1} treatfull = -.09{p_end}

{txt}       F(  1,   186) ={res}   10.22
{txt}{col 13}Prob > F ={res}    0.0016

{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}     4,930
{txt}{col 49}F({res}   9{txt},{res}    186{txt}){col 67}= {res}     77.06
{txt}{col 49}Prob > F{col 67}= {res}    0.0000
{txt}{col 49}R-squared{col 67}= {res}    0.1110
{txt}{col 49}Adj R-squared{col 67}= {res}    0.1066
{txt}{col 49}Root MSE{col 67}= {res}    0.8984

{txt}{ralign 78:(Std. Err. adjusted for {res:187} clusters in hc_id)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}e_healthou~z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2}-.0025068{col 26}{space 2} .0273728{col 37}{space 1}   -0.09{col 46}{space 3}0.927{col 54}{space 4}-.0565079{col 67}{space 3} .0514943
{txt}b_healthou~z {c |}{col 14}{res}{space 2} .1301056{col 26}{space 2} .0158563{col 37}{space 1}    8.21{col 46}{space 3}0.000{col 54}{space 4} .0988243{col 67}{space 3}  .161387
{txt}b_healthou~d {c |}{col 14}{res}{space 2} .6767453{col 26}{space 2} .0268257{col 37}{space 1}   25.23{col 46}{space 3}0.000{col 54}{space 4} .6238235{col 67}{space 3}  .729667
{txt}{space 1}c_tfull_hc2 {c |}{col 14}{res}{space 2}-.0150939{col 26}{space 2} .0391048{col 37}{space 1}   -0.39{col 46}{space 3}0.700{col 54}{space 4}-.0922398{col 67}{space 3}  .062052
{txt}c_tfull_b_~l {c |}{col 14}{res}{space 2}-.0461058{col 26}{space 2} .0434625{col 37}{space 1}   -1.06{col 46}{space 3}0.290{col 54}{space 4}-.1318486{col 67}{space 3} .0396371
{txt}c_tfull_b_~s {c |}{col 14}{res}{space 2}-.0395781{col 26}{space 2} .0495328{col 37}{space 1}   -0.80{col 46}{space 3}0.425{col 54}{space 4}-.1372963{col 67}{space 3} .0581402
{txt}c_tfull_b_~d {c |}{col 14}{res}{space 2} .0312915{col 26}{space 2} .0564047{col 37}{space 1}    0.55{col 46}{space 3}0.580{col 54}{space 4}-.0799837{col 67}{space 3} .1425667
{txt}c_tfull_ed~r {c |}{col 14}{res}{space 2} .0095071{col 26}{space 2} .0036039{col 37}{space 1}    2.64{col 46}{space 3}0.009{col 54}{space 4} .0023975{col 67}{space 3} .0166168
{txt}c_tfull_b_~x {c |}{col 14}{res}{space 2} .0444258{col 26}{space 2} .0162695{col 37}{space 1}    2.73{col 46}{space 3}0.007{col 54}{space 4} .0123293{col 67}{space 3} .0765224
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} -.511236{col 26}{space 2} .0224249{col 37}{space 1}  -22.80{col 46}{space 3}0.000{col 54}{space 4}-.5554759{col 67}{space 3}-.4669962
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull = .091{p_end}

{txt}       F(  1,   186) ={res}   11.67
{txt}{col 13}Prob > F ={res}    0.0008

{p 0 7}{space 1}{text:( 1)}{space 1} treatfull = -.091{p_end}

{txt}       F(  1,   186) ={res}   10.45
{txt}{col 13}Prob > F ={res}    0.0014

{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}     4,930
{txt}{col 49}F({res}   9{txt},{res}    186{txt}){col 67}= {res}     77.06
{txt}{col 49}Prob > F{col 67}= {res}    0.0000
{txt}{col 49}R-squared{col 67}= {res}    0.1110
{txt}{col 49}Adj R-squared{col 67}= {res}    0.1066
{txt}{col 49}Root MSE{col 67}= {res}    0.8984

{txt}{ralign 78:(Std. Err. adjusted for {res:187} clusters in hc_id)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}e_healthou~z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2}-.0025068{col 26}{space 2} .0273728{col 37}{space 1}   -0.09{col 46}{space 3}0.927{col 54}{space 4}-.0565079{col 67}{space 3} .0514943
{txt}b_healthou~z {c |}{col 14}{res}{space 2} .1301056{col 26}{space 2} .0158563{col 37}{space 1}    8.21{col 46}{space 3}0.000{col 54}{space 4} .0988243{col 67}{space 3}  .161387
{txt}b_healthou~d {c |}{col 14}{res}{space 2} .6767453{col 26}{space 2} .0268257{col 37}{space 1}   25.23{col 46}{space 3}0.000{col 54}{space 4} .6238235{col 67}{space 3}  .729667
{txt}{space 1}c_tfull_hc2 {c |}{col 14}{res}{space 2}-.0150939{col 26}{space 2} .0391048{col 37}{space 1}   -0.39{col 46}{space 3}0.700{col 54}{space 4}-.0922398{col 67}{space 3}  .062052
{txt}c_tfull_b_~l {c |}{col 14}{res}{space 2}-.0461058{col 26}{space 2} .0434625{col 37}{space 1}   -1.06{col 46}{space 3}0.290{col 54}{space 4}-.1318486{col 67}{space 3} .0396371
{txt}c_tfull_b_~s {c |}{col 14}{res}{space 2}-.0395781{col 26}{space 2} .0495328{col 37}{space 1}   -0.80{col 46}{space 3}0.425{col 54}{space 4}-.1372963{col 67}{space 3} .0581402
{txt}c_tfull_b_~d {c |}{col 14}{res}{space 2} .0312915{col 26}{space 2} .0564047{col 37}{space 1}    0.55{col 46}{space 3}0.580{col 54}{space 4}-.0799837{col 67}{space 3} .1425667
{txt}c_tfull_ed~r {c |}{col 14}{res}{space 2} .0095071{col 26}{space 2} .0036039{col 37}{space 1}    2.64{col 46}{space 3}0.009{col 54}{space 4} .0023975{col 67}{space 3} .0166168
{txt}c_tfull_b_~x {c |}{col 14}{res}{space 2} .0444258{col 26}{space 2} .0162695{col 37}{space 1}    2.73{col 46}{space 3}0.007{col 54}{space 4} .0123293{col 67}{space 3} .0765224
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} -.511236{col 26}{space 2} .0224249{col 37}{space 1}  -22.80{col 46}{space 3}0.000{col 54}{space 4}-.5554759{col 67}{space 3}-.4669962
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull = .092{p_end}

{txt}       F(  1,   186) ={res}   11.92
{txt}{col 13}Prob > F ={res}    0.0007

{p 0 7}{space 1}{text:( 1)}{space 1} treatfull = -.092{p_end}

{txt}       F(  1,   186) ={res}   10.69
{txt}{col 13}Prob > F ={res}    0.0013

{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}     4,930
{txt}{col 49}F({res}   9{txt},{res}    186{txt}){col 67}= {res}     77.06
{txt}{col 49}Prob > F{col 67}= {res}    0.0000
{txt}{col 49}R-squared{col 67}= {res}    0.1110
{txt}{col 49}Adj R-squared{col 67}= {res}    0.1066
{txt}{col 49}Root MSE{col 67}= {res}    0.8984

{txt}{ralign 78:(Std. Err. adjusted for {res:187} clusters in hc_id)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}e_healthou~z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2}-.0025068{col 26}{space 2} .0273728{col 37}{space 1}   -0.09{col 46}{space 3}0.927{col 54}{space 4}-.0565079{col 67}{space 3} .0514943
{txt}b_healthou~z {c |}{col 14}{res}{space 2} .1301056{col 26}{space 2} .0158563{col 37}{space 1}    8.21{col 46}{space 3}0.000{col 54}{space 4} .0988243{col 67}{space 3}  .161387
{txt}b_healthou~d {c |}{col 14}{res}{space 2} .6767453{col 26}{space 2} .0268257{col 37}{space 1}   25.23{col 46}{space 3}0.000{col 54}{space 4} .6238235{col 67}{space 3}  .729667
{txt}{space 1}c_tfull_hc2 {c |}{col 14}{res}{space 2}-.0150939{col 26}{space 2} .0391048{col 37}{space 1}   -0.39{col 46}{space 3}0.700{col 54}{space 4}-.0922398{col 67}{space 3}  .062052
{txt}c_tfull_b_~l {c |}{col 14}{res}{space 2}-.0461058{col 26}{space 2} .0434625{col 37}{space 1}   -1.06{col 46}{space 3}0.290{col 54}{space 4}-.1318486{col 67}{space 3} .0396371
{txt}c_tfull_b_~s {c |}{col 14}{res}{space 2}-.0395781{col 26}{space 2} .0495328{col 37}{space 1}   -0.80{col 46}{space 3}0.425{col 54}{space 4}-.1372963{col 67}{space 3} .0581402
{txt}c_tfull_b_~d {c |}{col 14}{res}{space 2} .0312915{col 26}{space 2} .0564047{col 37}{space 1}    0.55{col 46}{space 3}0.580{col 54}{space 4}-.0799837{col 67}{space 3} .1425667
{txt}c_tfull_ed~r {c |}{col 14}{res}{space 2} .0095071{col 26}{space 2} .0036039{col 37}{space 1}    2.64{col 46}{space 3}0.009{col 54}{space 4} .0023975{col 67}{space 3} .0166168
{txt}c_tfull_b_~x {c |}{col 14}{res}{space 2} .0444258{col 26}{space 2} .0162695{col 37}{space 1}    2.73{col 46}{space 3}0.007{col 54}{space 4} .0123293{col 67}{space 3} .0765224
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} -.511236{col 26}{space 2} .0224249{col 37}{space 1}  -22.80{col 46}{space 3}0.000{col 54}{space 4}-.5554759{col 67}{space 3}-.4669962
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull = .093{p_end}

{txt}       F(  1,   186) ={res}   12.17
{txt}{col 13}Prob > F ={res}    0.0006

{p 0 7}{space 1}{text:( 1)}{space 1} treatfull = -.093{p_end}

{txt}       F(  1,   186) ={res}   10.93
{txt}{col 13}Prob > F ={res}    0.0011

{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}     4,930
{txt}{col 49}F({res}   9{txt},{res}    186{txt}){col 67}= {res}     77.06
{txt}{col 49}Prob > F{col 67}= {res}    0.0000
{txt}{col 49}R-squared{col 67}= {res}    0.1110
{txt}{col 49}Adj R-squared{col 67}= {res}    0.1066
{txt}{col 49}Root MSE{col 67}= {res}    0.8984

{txt}{ralign 78:(Std. Err. adjusted for {res:187} clusters in hc_id)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}e_healthou~z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2}-.0025068{col 26}{space 2} .0273728{col 37}{space 1}   -0.09{col 46}{space 3}0.927{col 54}{space 4}-.0565079{col 67}{space 3} .0514943
{txt}b_healthou~z {c |}{col 14}{res}{space 2} .1301056{col 26}{space 2} .0158563{col 37}{space 1}    8.21{col 46}{space 3}0.000{col 54}{space 4} .0988243{col 67}{space 3}  .161387
{txt}b_healthou~d {c |}{col 14}{res}{space 2} .6767453{col 26}{space 2} .0268257{col 37}{space 1}   25.23{col 46}{space 3}0.000{col 54}{space 4} .6238235{col 67}{space 3}  .729667
{txt}{space 1}c_tfull_hc2 {c |}{col 14}{res}{space 2}-.0150939{col 26}{space 2} .0391048{col 37}{space 1}   -0.39{col 46}{space 3}0.700{col 54}{space 4}-.0922398{col 67}{space 3}  .062052
{txt}c_tfull_b_~l {c |}{col 14}{res}{space 2}-.0461058{col 26}{space 2} .0434625{col 37}{space 1}   -1.06{col 46}{space 3}0.290{col 54}{space 4}-.1318486{col 67}{space 3} .0396371
{txt}c_tfull_b_~s {c |}{col 14}{res}{space 2}-.0395781{col 26}{space 2} .0495328{col 37}{space 1}   -0.80{col 46}{space 3}0.425{col 54}{space 4}-.1372963{col 67}{space 3} .0581402
{txt}c_tfull_b_~d {c |}{col 14}{res}{space 2} .0312915{col 26}{space 2} .0564047{col 37}{space 1}    0.55{col 46}{space 3}0.580{col 54}{space 4}-.0799837{col 67}{space 3} .1425667
{txt}c_tfull_ed~r {c |}{col 14}{res}{space 2} .0095071{col 26}{space 2} .0036039{col 37}{space 1}    2.64{col 46}{space 3}0.009{col 54}{space 4} .0023975{col 67}{space 3} .0166168
{txt}c_tfull_b_~x {c |}{col 14}{res}{space 2} .0444258{col 26}{space 2} .0162695{col 37}{space 1}    2.73{col 46}{space 3}0.007{col 54}{space 4} .0123293{col 67}{space 3} .0765224
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} -.511236{col 26}{space 2} .0224249{col 37}{space 1}  -22.80{col 46}{space 3}0.000{col 54}{space 4}-.5554759{col 67}{space 3}-.4669962
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull = .094{p_end}

{txt}       F(  1,   186) ={res}   12.43
{txt}{col 13}Prob > F ={res}    0.0005

{p 0 7}{space 1}{text:( 1)}{space 1} treatfull = -.094{p_end}

{txt}       F(  1,   186) ={res}   11.17
{txt}{col 13}Prob > F ={res}    0.0010

{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}     4,930
{txt}{col 49}F({res}   9{txt},{res}    186{txt}){col 67}= {res}     77.06
{txt}{col 49}Prob > F{col 67}= {res}    0.0000
{txt}{col 49}R-squared{col 67}= {res}    0.1110
{txt}{col 49}Adj R-squared{col 67}= {res}    0.1066
{txt}{col 49}Root MSE{col 67}= {res}    0.8984

{txt}{ralign 78:(Std. Err. adjusted for {res:187} clusters in hc_id)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}e_healthou~z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2}-.0025068{col 26}{space 2} .0273728{col 37}{space 1}   -0.09{col 46}{space 3}0.927{col 54}{space 4}-.0565079{col 67}{space 3} .0514943
{txt}b_healthou~z {c |}{col 14}{res}{space 2} .1301056{col 26}{space 2} .0158563{col 37}{space 1}    8.21{col 46}{space 3}0.000{col 54}{space 4} .0988243{col 67}{space 3}  .161387
{txt}b_healthou~d {c |}{col 14}{res}{space 2} .6767453{col 26}{space 2} .0268257{col 37}{space 1}   25.23{col 46}{space 3}0.000{col 54}{space 4} .6238235{col 67}{space 3}  .729667
{txt}{space 1}c_tfull_hc2 {c |}{col 14}{res}{space 2}-.0150939{col 26}{space 2} .0391048{col 37}{space 1}   -0.39{col 46}{space 3}0.700{col 54}{space 4}-.0922398{col 67}{space 3}  .062052
{txt}c_tfull_b_~l {c |}{col 14}{res}{space 2}-.0461058{col 26}{space 2} .0434625{col 37}{space 1}   -1.06{col 46}{space 3}0.290{col 54}{space 4}-.1318486{col 67}{space 3} .0396371
{txt}c_tfull_b_~s {c |}{col 14}{res}{space 2}-.0395781{col 26}{space 2} .0495328{col 37}{space 1}   -0.80{col 46}{space 3}0.425{col 54}{space 4}-.1372963{col 67}{space 3} .0581402
{txt}c_tfull_b_~d {c |}{col 14}{res}{space 2} .0312915{col 26}{space 2} .0564047{col 37}{space 1}    0.55{col 46}{space 3}0.580{col 54}{space 4}-.0799837{col 67}{space 3} .1425667
{txt}c_tfull_ed~r {c |}{col 14}{res}{space 2} .0095071{col 26}{space 2} .0036039{col 37}{space 1}    2.64{col 46}{space 3}0.009{col 54}{space 4} .0023975{col 67}{space 3} .0166168
{txt}c_tfull_b_~x {c |}{col 14}{res}{space 2} .0444258{col 26}{space 2} .0162695{col 37}{space 1}    2.73{col 46}{space 3}0.007{col 54}{space 4} .0123293{col 67}{space 3} .0765224
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} -.511236{col 26}{space 2} .0224249{col 37}{space 1}  -22.80{col 46}{space 3}0.000{col 54}{space 4}-.5554759{col 67}{space 3}-.4669962
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull = .095{p_end}

{txt}       F(  1,   186) ={res}   12.69
{txt}{col 13}Prob > F ={res}    0.0005

{p 0 7}{space 1}{text:( 1)}{space 1} treatfull = -.095{p_end}

{txt}       F(  1,   186) ={res}   11.42
{txt}{col 13}Prob > F ={res}    0.0009

{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}     4,930
{txt}{col 49}F({res}   9{txt},{res}    186{txt}){col 67}= {res}     77.06
{txt}{col 49}Prob > F{col 67}= {res}    0.0000
{txt}{col 49}R-squared{col 67}= {res}    0.1110
{txt}{col 49}Adj R-squared{col 67}= {res}    0.1066
{txt}{col 49}Root MSE{col 67}= {res}    0.8984

{txt}{ralign 78:(Std. Err. adjusted for {res:187} clusters in hc_id)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}e_healthou~z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2}-.0025068{col 26}{space 2} .0273728{col 37}{space 1}   -0.09{col 46}{space 3}0.927{col 54}{space 4}-.0565079{col 67}{space 3} .0514943
{txt}b_healthou~z {c |}{col 14}{res}{space 2} .1301056{col 26}{space 2} .0158563{col 37}{space 1}    8.21{col 46}{space 3}0.000{col 54}{space 4} .0988243{col 67}{space 3}  .161387
{txt}b_healthou~d {c |}{col 14}{res}{space 2} .6767453{col 26}{space 2} .0268257{col 37}{space 1}   25.23{col 46}{space 3}0.000{col 54}{space 4} .6238235{col 67}{space 3}  .729667
{txt}{space 1}c_tfull_hc2 {c |}{col 14}{res}{space 2}-.0150939{col 26}{space 2} .0391048{col 37}{space 1}   -0.39{col 46}{space 3}0.700{col 54}{space 4}-.0922398{col 67}{space 3}  .062052
{txt}c_tfull_b_~l {c |}{col 14}{res}{space 2}-.0461058{col 26}{space 2} .0434625{col 37}{space 1}   -1.06{col 46}{space 3}0.290{col 54}{space 4}-.1318486{col 67}{space 3} .0396371
{txt}c_tfull_b_~s {c |}{col 14}{res}{space 2}-.0395781{col 26}{space 2} .0495328{col 37}{space 1}   -0.80{col 46}{space 3}0.425{col 54}{space 4}-.1372963{col 67}{space 3} .0581402
{txt}c_tfull_b_~d {c |}{col 14}{res}{space 2} .0312915{col 26}{space 2} .0564047{col 37}{space 1}    0.55{col 46}{space 3}0.580{col 54}{space 4}-.0799837{col 67}{space 3} .1425667
{txt}c_tfull_ed~r {c |}{col 14}{res}{space 2} .0095071{col 26}{space 2} .0036039{col 37}{space 1}    2.64{col 46}{space 3}0.009{col 54}{space 4} .0023975{col 67}{space 3} .0166168
{txt}c_tfull_b_~x {c |}{col 14}{res}{space 2} .0444258{col 26}{space 2} .0162695{col 37}{space 1}    2.73{col 46}{space 3}0.007{col 54}{space 4} .0123293{col 67}{space 3} .0765224
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} -.511236{col 26}{space 2} .0224249{col 37}{space 1}  -22.80{col 46}{space 3}0.000{col 54}{space 4}-.5554759{col 67}{space 3}-.4669962
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull = .096{p_end}

{txt}       F(  1,   186) ={res}   12.95
{txt}{col 13}Prob > F ={res}    0.0004

{p 0 7}{space 1}{text:( 1)}{space 1} treatfull = -.096{p_end}

{txt}       F(  1,   186) ={res}   11.67
{txt}{col 13}Prob > F ={res}    0.0008

{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}     4,930
{txt}{col 49}F({res}   9{txt},{res}    186{txt}){col 67}= {res}     77.06
{txt}{col 49}Prob > F{col 67}= {res}    0.0000
{txt}{col 49}R-squared{col 67}= {res}    0.1110
{txt}{col 49}Adj R-squared{col 67}= {res}    0.1066
{txt}{col 49}Root MSE{col 67}= {res}    0.8984

{txt}{ralign 78:(Std. Err. adjusted for {res:187} clusters in hc_id)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}e_healthou~z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2}-.0025068{col 26}{space 2} .0273728{col 37}{space 1}   -0.09{col 46}{space 3}0.927{col 54}{space 4}-.0565079{col 67}{space 3} .0514943
{txt}b_healthou~z {c |}{col 14}{res}{space 2} .1301056{col 26}{space 2} .0158563{col 37}{space 1}    8.21{col 46}{space 3}0.000{col 54}{space 4} .0988243{col 67}{space 3}  .161387
{txt}b_healthou~d {c |}{col 14}{res}{space 2} .6767453{col 26}{space 2} .0268257{col 37}{space 1}   25.23{col 46}{space 3}0.000{col 54}{space 4} .6238235{col 67}{space 3}  .729667
{txt}{space 1}c_tfull_hc2 {c |}{col 14}{res}{space 2}-.0150939{col 26}{space 2} .0391048{col 37}{space 1}   -0.39{col 46}{space 3}0.700{col 54}{space 4}-.0922398{col 67}{space 3}  .062052
{txt}c_tfull_b_~l {c |}{col 14}{res}{space 2}-.0461058{col 26}{space 2} .0434625{col 37}{space 1}   -1.06{col 46}{space 3}0.290{col 54}{space 4}-.1318486{col 67}{space 3} .0396371
{txt}c_tfull_b_~s {c |}{col 14}{res}{space 2}-.0395781{col 26}{space 2} .0495328{col 37}{space 1}   -0.80{col 46}{space 3}0.425{col 54}{space 4}-.1372963{col 67}{space 3} .0581402
{txt}c_tfull_b_~d {c |}{col 14}{res}{space 2} .0312915{col 26}{space 2} .0564047{col 37}{space 1}    0.55{col 46}{space 3}0.580{col 54}{space 4}-.0799837{col 67}{space 3} .1425667
{txt}c_tfull_ed~r {c |}{col 14}{res}{space 2} .0095071{col 26}{space 2} .0036039{col 37}{space 1}    2.64{col 46}{space 3}0.009{col 54}{space 4} .0023975{col 67}{space 3} .0166168
{txt}c_tfull_b_~x {c |}{col 14}{res}{space 2} .0444258{col 26}{space 2} .0162695{col 37}{space 1}    2.73{col 46}{space 3}0.007{col 54}{space 4} .0123293{col 67}{space 3} .0765224
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} -.511236{col 26}{space 2} .0224249{col 37}{space 1}  -22.80{col 46}{space 3}0.000{col 54}{space 4}-.5554759{col 67}{space 3}-.4669962
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull = .097{p_end}

{txt}       F(  1,   186) ={res}   13.21
{txt}{col 13}Prob > F ={res}    0.0004

{p 0 7}{space 1}{text:( 1)}{space 1} treatfull = -.097{p_end}

{txt}       F(  1,   186) ={res}   11.92
{txt}{col 13}Prob > F ={res}    0.0007

{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}     4,930
{txt}{col 49}F({res}   9{txt},{res}    186{txt}){col 67}= {res}     77.06
{txt}{col 49}Prob > F{col 67}= {res}    0.0000
{txt}{col 49}R-squared{col 67}= {res}    0.1110
{txt}{col 49}Adj R-squared{col 67}= {res}    0.1066
{txt}{col 49}Root MSE{col 67}= {res}    0.8984

{txt}{ralign 78:(Std. Err. adjusted for {res:187} clusters in hc_id)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}e_healthou~z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2}-.0025068{col 26}{space 2} .0273728{col 37}{space 1}   -0.09{col 46}{space 3}0.927{col 54}{space 4}-.0565079{col 67}{space 3} .0514943
{txt}b_healthou~z {c |}{col 14}{res}{space 2} .1301056{col 26}{space 2} .0158563{col 37}{space 1}    8.21{col 46}{space 3}0.000{col 54}{space 4} .0988243{col 67}{space 3}  .161387
{txt}b_healthou~d {c |}{col 14}{res}{space 2} .6767453{col 26}{space 2} .0268257{col 37}{space 1}   25.23{col 46}{space 3}0.000{col 54}{space 4} .6238235{col 67}{space 3}  .729667
{txt}{space 1}c_tfull_hc2 {c |}{col 14}{res}{space 2}-.0150939{col 26}{space 2} .0391048{col 37}{space 1}   -0.39{col 46}{space 3}0.700{col 54}{space 4}-.0922398{col 67}{space 3}  .062052
{txt}c_tfull_b_~l {c |}{col 14}{res}{space 2}-.0461058{col 26}{space 2} .0434625{col 37}{space 1}   -1.06{col 46}{space 3}0.290{col 54}{space 4}-.1318486{col 67}{space 3} .0396371
{txt}c_tfull_b_~s {c |}{col 14}{res}{space 2}-.0395781{col 26}{space 2} .0495328{col 37}{space 1}   -0.80{col 46}{space 3}0.425{col 54}{space 4}-.1372963{col 67}{space 3} .0581402
{txt}c_tfull_b_~d {c |}{col 14}{res}{space 2} .0312915{col 26}{space 2} .0564047{col 37}{space 1}    0.55{col 46}{space 3}0.580{col 54}{space 4}-.0799837{col 67}{space 3} .1425667
{txt}c_tfull_ed~r {c |}{col 14}{res}{space 2} .0095071{col 26}{space 2} .0036039{col 37}{space 1}    2.64{col 46}{space 3}0.009{col 54}{space 4} .0023975{col 67}{space 3} .0166168
{txt}c_tfull_b_~x {c |}{col 14}{res}{space 2} .0444258{col 26}{space 2} .0162695{col 37}{space 1}    2.73{col 46}{space 3}0.007{col 54}{space 4} .0123293{col 67}{space 3} .0765224
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} -.511236{col 26}{space 2} .0224249{col 37}{space 1}  -22.80{col 46}{space 3}0.000{col 54}{space 4}-.5554759{col 67}{space 3}-.4669962
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull = .098{p_end}

{txt}       F(  1,   186) ={res}   13.48
{txt}{col 13}Prob > F ={res}    0.0003

{p 0 7}{space 1}{text:( 1)}{space 1} treatfull = -.098{p_end}

{txt}       F(  1,   186) ={res}   12.17
{txt}{col 13}Prob > F ={res}    0.0006

{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}     4,930
{txt}{col 49}F({res}   9{txt},{res}    186{txt}){col 67}= {res}     77.06
{txt}{col 49}Prob > F{col 67}= {res}    0.0000
{txt}{col 49}R-squared{col 67}= {res}    0.1110
{txt}{col 49}Adj R-squared{col 67}= {res}    0.1066
{txt}{col 49}Root MSE{col 67}= {res}    0.8984

{txt}{ralign 78:(Std. Err. adjusted for {res:187} clusters in hc_id)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}e_healthou~z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2}-.0025068{col 26}{space 2} .0273728{col 37}{space 1}   -0.09{col 46}{space 3}0.927{col 54}{space 4}-.0565079{col 67}{space 3} .0514943
{txt}b_healthou~z {c |}{col 14}{res}{space 2} .1301056{col 26}{space 2} .0158563{col 37}{space 1}    8.21{col 46}{space 3}0.000{col 54}{space 4} .0988243{col 67}{space 3}  .161387
{txt}b_healthou~d {c |}{col 14}{res}{space 2} .6767453{col 26}{space 2} .0268257{col 37}{space 1}   25.23{col 46}{space 3}0.000{col 54}{space 4} .6238235{col 67}{space 3}  .729667
{txt}{space 1}c_tfull_hc2 {c |}{col 14}{res}{space 2}-.0150939{col 26}{space 2} .0391048{col 37}{space 1}   -0.39{col 46}{space 3}0.700{col 54}{space 4}-.0922398{col 67}{space 3}  .062052
{txt}c_tfull_b_~l {c |}{col 14}{res}{space 2}-.0461058{col 26}{space 2} .0434625{col 37}{space 1}   -1.06{col 46}{space 3}0.290{col 54}{space 4}-.1318486{col 67}{space 3} .0396371
{txt}c_tfull_b_~s {c |}{col 14}{res}{space 2}-.0395781{col 26}{space 2} .0495328{col 37}{space 1}   -0.80{col 46}{space 3}0.425{col 54}{space 4}-.1372963{col 67}{space 3} .0581402
{txt}c_tfull_b_~d {c |}{col 14}{res}{space 2} .0312915{col 26}{space 2} .0564047{col 37}{space 1}    0.55{col 46}{space 3}0.580{col 54}{space 4}-.0799837{col 67}{space 3} .1425667
{txt}c_tfull_ed~r {c |}{col 14}{res}{space 2} .0095071{col 26}{space 2} .0036039{col 37}{space 1}    2.64{col 46}{space 3}0.009{col 54}{space 4} .0023975{col 67}{space 3} .0166168
{txt}c_tfull_b_~x {c |}{col 14}{res}{space 2} .0444258{col 26}{space 2} .0162695{col 37}{space 1}    2.73{col 46}{space 3}0.007{col 54}{space 4} .0123293{col 67}{space 3} .0765224
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} -.511236{col 26}{space 2} .0224249{col 37}{space 1}  -22.80{col 46}{space 3}0.000{col 54}{space 4}-.5554759{col 67}{space 3}-.4669962
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull = .099{p_end}

{txt}       F(  1,   186) ={res}   13.75
{txt}{col 13}Prob > F ={res}    0.0003

{p 0 7}{space 1}{text:( 1)}{space 1} treatfull = -.099{p_end}

{txt}       F(  1,   186) ={res}   12.43
{txt}{col 13}Prob > F ={res}    0.0005

{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}     4,930
{txt}{col 49}F({res}   9{txt},{res}    186{txt}){col 67}= {res}     77.06
{txt}{col 49}Prob > F{col 67}= {res}    0.0000
{txt}{col 49}R-squared{col 67}= {res}    0.1110
{txt}{col 49}Adj R-squared{col 67}= {res}    0.1066
{txt}{col 49}Root MSE{col 67}= {res}    0.8984

{txt}{ralign 78:(Std. Err. adjusted for {res:187} clusters in hc_id)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}e_healthou~z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2}-.0025068{col 26}{space 2} .0273728{col 37}{space 1}   -0.09{col 46}{space 3}0.927{col 54}{space 4}-.0565079{col 67}{space 3} .0514943
{txt}b_healthou~z {c |}{col 14}{res}{space 2} .1301056{col 26}{space 2} .0158563{col 37}{space 1}    8.21{col 46}{space 3}0.000{col 54}{space 4} .0988243{col 67}{space 3}  .161387
{txt}b_healthou~d {c |}{col 14}{res}{space 2} .6767453{col 26}{space 2} .0268257{col 37}{space 1}   25.23{col 46}{space 3}0.000{col 54}{space 4} .6238235{col 67}{space 3}  .729667
{txt}{space 1}c_tfull_hc2 {c |}{col 14}{res}{space 2}-.0150939{col 26}{space 2} .0391048{col 37}{space 1}   -0.39{col 46}{space 3}0.700{col 54}{space 4}-.0922398{col 67}{space 3}  .062052
{txt}c_tfull_b_~l {c |}{col 14}{res}{space 2}-.0461058{col 26}{space 2} .0434625{col 37}{space 1}   -1.06{col 46}{space 3}0.290{col 54}{space 4}-.1318486{col 67}{space 3} .0396371
{txt}c_tfull_b_~s {c |}{col 14}{res}{space 2}-.0395781{col 26}{space 2} .0495328{col 37}{space 1}   -0.80{col 46}{space 3}0.425{col 54}{space 4}-.1372963{col 67}{space 3} .0581402
{txt}c_tfull_b_~d {c |}{col 14}{res}{space 2} .0312915{col 26}{space 2} .0564047{col 37}{space 1}    0.55{col 46}{space 3}0.580{col 54}{space 4}-.0799837{col 67}{space 3} .1425667
{txt}c_tfull_ed~r {c |}{col 14}{res}{space 2} .0095071{col 26}{space 2} .0036039{col 37}{space 1}    2.64{col 46}{space 3}0.009{col 54}{space 4} .0023975{col 67}{space 3} .0166168
{txt}c_tfull_b_~x {c |}{col 14}{res}{space 2} .0444258{col 26}{space 2} .0162695{col 37}{space 1}    2.73{col 46}{space 3}0.007{col 54}{space 4} .0123293{col 67}{space 3} .0765224
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} -.511236{col 26}{space 2} .0224249{col 37}{space 1}  -22.80{col 46}{space 3}0.000{col 54}{space 4}-.5554759{col 67}{space 3}-.4669962
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull = .1{p_end}

{txt}       F(  1,   186) ={res}   14.02
{txt}{col 13}Prob > F ={res}    0.0002

{p 0 7}{space 1}{text:( 1)}{space 1} treatfull = -.1{p_end}

{txt}       F(  1,   186) ={res}   12.69
{txt}{col 13}Prob > F ={res}    0.0005

{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}     4,930
{txt}{col 49}F({res}   9{txt},{res}    186{txt}){col 67}= {res}     77.06
{txt}{col 49}Prob > F{col 67}= {res}    0.0000
{txt}{col 49}R-squared{col 67}= {res}    0.1110
{txt}{col 49}Adj R-squared{col 67}= {res}    0.1066
{txt}{col 49}Root MSE{col 67}= {res}    0.8984

{txt}{ralign 78:(Std. Err. adjusted for {res:187} clusters in hc_id)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}e_healthou~z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2}-.0025068{col 26}{space 2} .0273728{col 37}{space 1}   -0.09{col 46}{space 3}0.927{col 54}{space 4}-.0565079{col 67}{space 3} .0514943
{txt}b_healthou~z {c |}{col 14}{res}{space 2} .1301056{col 26}{space 2} .0158563{col 37}{space 1}    8.21{col 46}{space 3}0.000{col 54}{space 4} .0988243{col 67}{space 3}  .161387
{txt}b_healthou~d {c |}{col 14}{res}{space 2} .6767453{col 26}{space 2} .0268257{col 37}{space 1}   25.23{col 46}{space 3}0.000{col 54}{space 4} .6238235{col 67}{space 3}  .729667
{txt}{space 1}c_tfull_hc2 {c |}{col 14}{res}{space 2}-.0150939{col 26}{space 2} .0391048{col 37}{space 1}   -0.39{col 46}{space 3}0.700{col 54}{space 4}-.0922398{col 67}{space 3}  .062052
{txt}c_tfull_b_~l {c |}{col 14}{res}{space 2}-.0461058{col 26}{space 2} .0434625{col 37}{space 1}   -1.06{col 46}{space 3}0.290{col 54}{space 4}-.1318486{col 67}{space 3} .0396371
{txt}c_tfull_b_~s {c |}{col 14}{res}{space 2}-.0395781{col 26}{space 2} .0495328{col 37}{space 1}   -0.80{col 46}{space 3}0.425{col 54}{space 4}-.1372963{col 67}{space 3} .0581402
{txt}c_tfull_b_~d {c |}{col 14}{res}{space 2} .0312915{col 26}{space 2} .0564047{col 37}{space 1}    0.55{col 46}{space 3}0.580{col 54}{space 4}-.0799837{col 67}{space 3} .1425667
{txt}c_tfull_ed~r {c |}{col 14}{res}{space 2} .0095071{col 26}{space 2} .0036039{col 37}{space 1}    2.64{col 46}{space 3}0.009{col 54}{space 4} .0023975{col 67}{space 3} .0166168
{txt}c_tfull_b_~x {c |}{col 14}{res}{space 2} .0444258{col 26}{space 2} .0162695{col 37}{space 1}    2.73{col 46}{space 3}0.007{col 54}{space 4} .0123293{col 67}{space 3} .0765224
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} -.511236{col 26}{space 2} .0224249{col 37}{space 1}  -22.80{col 46}{space 3}0.000{col 54}{space 4}-.5554759{col 67}{space 3}-.4669962
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull = .101{p_end}

{txt}       F(  1,   186) ={res}   14.30
{txt}{col 13}Prob > F ={res}    0.0002

{p 0 7}{space 1}{text:( 1)}{space 1} treatfull = -.101{p_end}

{txt}       F(  1,   186) ={res}   12.95
{txt}{col 13}Prob > F ={res}    0.0004

{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}     4,930
{txt}{col 49}F({res}   9{txt},{res}    186{txt}){col 67}= {res}     77.06
{txt}{col 49}Prob > F{col 67}= {res}    0.0000
{txt}{col 49}R-squared{col 67}= {res}    0.1110
{txt}{col 49}Adj R-squared{col 67}= {res}    0.1066
{txt}{col 49}Root MSE{col 67}= {res}    0.8984

{txt}{ralign 78:(Std. Err. adjusted for {res:187} clusters in hc_id)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}e_healthou~z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2}-.0025068{col 26}{space 2} .0273728{col 37}{space 1}   -0.09{col 46}{space 3}0.927{col 54}{space 4}-.0565079{col 67}{space 3} .0514943
{txt}b_healthou~z {c |}{col 14}{res}{space 2} .1301056{col 26}{space 2} .0158563{col 37}{space 1}    8.21{col 46}{space 3}0.000{col 54}{space 4} .0988243{col 67}{space 3}  .161387
{txt}b_healthou~d {c |}{col 14}{res}{space 2} .6767453{col 26}{space 2} .0268257{col 37}{space 1}   25.23{col 46}{space 3}0.000{col 54}{space 4} .6238235{col 67}{space 3}  .729667
{txt}{space 1}c_tfull_hc2 {c |}{col 14}{res}{space 2}-.0150939{col 26}{space 2} .0391048{col 37}{space 1}   -0.39{col 46}{space 3}0.700{col 54}{space 4}-.0922398{col 67}{space 3}  .062052
{txt}c_tfull_b_~l {c |}{col 14}{res}{space 2}-.0461058{col 26}{space 2} .0434625{col 37}{space 1}   -1.06{col 46}{space 3}0.290{col 54}{space 4}-.1318486{col 67}{space 3} .0396371
{txt}c_tfull_b_~s {c |}{col 14}{res}{space 2}-.0395781{col 26}{space 2} .0495328{col 37}{space 1}   -0.80{col 46}{space 3}0.425{col 54}{space 4}-.1372963{col 67}{space 3} .0581402
{txt}c_tfull_b_~d {c |}{col 14}{res}{space 2} .0312915{col 26}{space 2} .0564047{col 37}{space 1}    0.55{col 46}{space 3}0.580{col 54}{space 4}-.0799837{col 67}{space 3} .1425667
{txt}c_tfull_ed~r {c |}{col 14}{res}{space 2} .0095071{col 26}{space 2} .0036039{col 37}{space 1}    2.64{col 46}{space 3}0.009{col 54}{space 4} .0023975{col 67}{space 3} .0166168
{txt}c_tfull_b_~x {c |}{col 14}{res}{space 2} .0444258{col 26}{space 2} .0162695{col 37}{space 1}    2.73{col 46}{space 3}0.007{col 54}{space 4} .0123293{col 67}{space 3} .0765224
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} -.511236{col 26}{space 2} .0224249{col 37}{space 1}  -22.80{col 46}{space 3}0.000{col 54}{space 4}-.5554759{col 67}{space 3}-.4669962
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull = .102{p_end}

{txt}       F(  1,   186) ={res}   14.58
{txt}{col 13}Prob > F ={res}    0.0002

{p 0 7}{space 1}{text:( 1)}{space 1} treatfull = -.102{p_end}

{txt}       F(  1,   186) ={res}   13.21
{txt}{col 13}Prob > F ={res}    0.0004

{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}     4,930
{txt}{col 49}F({res}   9{txt},{res}    186{txt}){col 67}= {res}     77.06
{txt}{col 49}Prob > F{col 67}= {res}    0.0000
{txt}{col 49}R-squared{col 67}= {res}    0.1110
{txt}{col 49}Adj R-squared{col 67}= {res}    0.1066
{txt}{col 49}Root MSE{col 67}= {res}    0.8984

{txt}{ralign 78:(Std. Err. adjusted for {res:187} clusters in hc_id)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}e_healthou~z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2}-.0025068{col 26}{space 2} .0273728{col 37}{space 1}   -0.09{col 46}{space 3}0.927{col 54}{space 4}-.0565079{col 67}{space 3} .0514943
{txt}b_healthou~z {c |}{col 14}{res}{space 2} .1301056{col 26}{space 2} .0158563{col 37}{space 1}    8.21{col 46}{space 3}0.000{col 54}{space 4} .0988243{col 67}{space 3}  .161387
{txt}b_healthou~d {c |}{col 14}{res}{space 2} .6767453{col 26}{space 2} .0268257{col 37}{space 1}   25.23{col 46}{space 3}0.000{col 54}{space 4} .6238235{col 67}{space 3}  .729667
{txt}{space 1}c_tfull_hc2 {c |}{col 14}{res}{space 2}-.0150939{col 26}{space 2} .0391048{col 37}{space 1}   -0.39{col 46}{space 3}0.700{col 54}{space 4}-.0922398{col 67}{space 3}  .062052
{txt}c_tfull_b_~l {c |}{col 14}{res}{space 2}-.0461058{col 26}{space 2} .0434625{col 37}{space 1}   -1.06{col 46}{space 3}0.290{col 54}{space 4}-.1318486{col 67}{space 3} .0396371
{txt}c_tfull_b_~s {c |}{col 14}{res}{space 2}-.0395781{col 26}{space 2} .0495328{col 37}{space 1}   -0.80{col 46}{space 3}0.425{col 54}{space 4}-.1372963{col 67}{space 3} .0581402
{txt}c_tfull_b_~d {c |}{col 14}{res}{space 2} .0312915{col 26}{space 2} .0564047{col 37}{space 1}    0.55{col 46}{space 3}0.580{col 54}{space 4}-.0799837{col 67}{space 3} .1425667
{txt}c_tfull_ed~r {c |}{col 14}{res}{space 2} .0095071{col 26}{space 2} .0036039{col 37}{space 1}    2.64{col 46}{space 3}0.009{col 54}{space 4} .0023975{col 67}{space 3} .0166168
{txt}c_tfull_b_~x {c |}{col 14}{res}{space 2} .0444258{col 26}{space 2} .0162695{col 37}{space 1}    2.73{col 46}{space 3}0.007{col 54}{space 4} .0123293{col 67}{space 3} .0765224
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} -.511236{col 26}{space 2} .0224249{col 37}{space 1}  -22.80{col 46}{space 3}0.000{col 54}{space 4}-.5554759{col 67}{space 3}-.4669962
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull = .103{p_end}

{txt}       F(  1,   186) ={res}   14.86
{txt}{col 13}Prob > F ={res}    0.0002

{p 0 7}{space 1}{text:( 1)}{space 1} treatfull = -.103{p_end}

{txt}       F(  1,   186) ={res}   13.48
{txt}{col 13}Prob > F ={res}    0.0003

{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}     4,930
{txt}{col 49}F({res}   9{txt},{res}    186{txt}){col 67}= {res}     77.06
{txt}{col 49}Prob > F{col 67}= {res}    0.0000
{txt}{col 49}R-squared{col 67}= {res}    0.1110
{txt}{col 49}Adj R-squared{col 67}= {res}    0.1066
{txt}{col 49}Root MSE{col 67}= {res}    0.8984

{txt}{ralign 78:(Std. Err. adjusted for {res:187} clusters in hc_id)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}e_healthou~z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2}-.0025068{col 26}{space 2} .0273728{col 37}{space 1}   -0.09{col 46}{space 3}0.927{col 54}{space 4}-.0565079{col 67}{space 3} .0514943
{txt}b_healthou~z {c |}{col 14}{res}{space 2} .1301056{col 26}{space 2} .0158563{col 37}{space 1}    8.21{col 46}{space 3}0.000{col 54}{space 4} .0988243{col 67}{space 3}  .161387
{txt}b_healthou~d {c |}{col 14}{res}{space 2} .6767453{col 26}{space 2} .0268257{col 37}{space 1}   25.23{col 46}{space 3}0.000{col 54}{space 4} .6238235{col 67}{space 3}  .729667
{txt}{space 1}c_tfull_hc2 {c |}{col 14}{res}{space 2}-.0150939{col 26}{space 2} .0391048{col 37}{space 1}   -0.39{col 46}{space 3}0.700{col 54}{space 4}-.0922398{col 67}{space 3}  .062052
{txt}c_tfull_b_~l {c |}{col 14}{res}{space 2}-.0461058{col 26}{space 2} .0434625{col 37}{space 1}   -1.06{col 46}{space 3}0.290{col 54}{space 4}-.1318486{col 67}{space 3} .0396371
{txt}c_tfull_b_~s {c |}{col 14}{res}{space 2}-.0395781{col 26}{space 2} .0495328{col 37}{space 1}   -0.80{col 46}{space 3}0.425{col 54}{space 4}-.1372963{col 67}{space 3} .0581402
{txt}c_tfull_b_~d {c |}{col 14}{res}{space 2} .0312915{col 26}{space 2} .0564047{col 37}{space 1}    0.55{col 46}{space 3}0.580{col 54}{space 4}-.0799837{col 67}{space 3} .1425667
{txt}c_tfull_ed~r {c |}{col 14}{res}{space 2} .0095071{col 26}{space 2} .0036039{col 37}{space 1}    2.64{col 46}{space 3}0.009{col 54}{space 4} .0023975{col 67}{space 3} .0166168
{txt}c_tfull_b_~x {c |}{col 14}{res}{space 2} .0444258{col 26}{space 2} .0162695{col 37}{space 1}    2.73{col 46}{space 3}0.007{col 54}{space 4} .0123293{col 67}{space 3} .0765224
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} -.511236{col 26}{space 2} .0224249{col 37}{space 1}  -22.80{col 46}{space 3}0.000{col 54}{space 4}-.5554759{col 67}{space 3}-.4669962
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull = .104{p_end}

{txt}       F(  1,   186) ={res}   15.14
{txt}{col 13}Prob > F ={res}    0.0001

{p 0 7}{space 1}{text:( 1)}{space 1} treatfull = -.104{p_end}

{txt}       F(  1,   186) ={res}   13.75
{txt}{col 13}Prob > F ={res}    0.0003

{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}     4,930
{txt}{col 49}F({res}   9{txt},{res}    186{txt}){col 67}= {res}     77.06
{txt}{col 49}Prob > F{col 67}= {res}    0.0000
{txt}{col 49}R-squared{col 67}= {res}    0.1110
{txt}{col 49}Adj R-squared{col 67}= {res}    0.1066
{txt}{col 49}Root MSE{col 67}= {res}    0.8984

{txt}{ralign 78:(Std. Err. adjusted for {res:187} clusters in hc_id)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}e_healthou~z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2}-.0025068{col 26}{space 2} .0273728{col 37}{space 1}   -0.09{col 46}{space 3}0.927{col 54}{space 4}-.0565079{col 67}{space 3} .0514943
{txt}b_healthou~z {c |}{col 14}{res}{space 2} .1301056{col 26}{space 2} .0158563{col 37}{space 1}    8.21{col 46}{space 3}0.000{col 54}{space 4} .0988243{col 67}{space 3}  .161387
{txt}b_healthou~d {c |}{col 14}{res}{space 2} .6767453{col 26}{space 2} .0268257{col 37}{space 1}   25.23{col 46}{space 3}0.000{col 54}{space 4} .6238235{col 67}{space 3}  .729667
{txt}{space 1}c_tfull_hc2 {c |}{col 14}{res}{space 2}-.0150939{col 26}{space 2} .0391048{col 37}{space 1}   -0.39{col 46}{space 3}0.700{col 54}{space 4}-.0922398{col 67}{space 3}  .062052
{txt}c_tfull_b_~l {c |}{col 14}{res}{space 2}-.0461058{col 26}{space 2} .0434625{col 37}{space 1}   -1.06{col 46}{space 3}0.290{col 54}{space 4}-.1318486{col 67}{space 3} .0396371
{txt}c_tfull_b_~s {c |}{col 14}{res}{space 2}-.0395781{col 26}{space 2} .0495328{col 37}{space 1}   -0.80{col 46}{space 3}0.425{col 54}{space 4}-.1372963{col 67}{space 3} .0581402
{txt}c_tfull_b_~d {c |}{col 14}{res}{space 2} .0312915{col 26}{space 2} .0564047{col 37}{space 1}    0.55{col 46}{space 3}0.580{col 54}{space 4}-.0799837{col 67}{space 3} .1425667
{txt}c_tfull_ed~r {c |}{col 14}{res}{space 2} .0095071{col 26}{space 2} .0036039{col 37}{space 1}    2.64{col 46}{space 3}0.009{col 54}{space 4} .0023975{col 67}{space 3} .0166168
{txt}c_tfull_b_~x {c |}{col 14}{res}{space 2} .0444258{col 26}{space 2} .0162695{col 37}{space 1}    2.73{col 46}{space 3}0.007{col 54}{space 4} .0123293{col 67}{space 3} .0765224
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} -.511236{col 26}{space 2} .0224249{col 37}{space 1}  -22.80{col 46}{space 3}0.000{col 54}{space 4}-.5554759{col 67}{space 3}-.4669962
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull = .105{p_end}

{txt}       F(  1,   186) ={res}   15.43
{txt}{col 13}Prob > F ={res}    0.0001

{p 0 7}{space 1}{text:( 1)}{space 1} treatfull = -.105{p_end}

{txt}       F(  1,   186) ={res}   14.02
{txt}{col 13}Prob > F ={res}    0.0002

{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}     4,930
{txt}{col 49}F({res}   9{txt},{res}    186{txt}){col 67}= {res}     77.06
{txt}{col 49}Prob > F{col 67}= {res}    0.0000
{txt}{col 49}R-squared{col 67}= {res}    0.1110
{txt}{col 49}Adj R-squared{col 67}= {res}    0.1066
{txt}{col 49}Root MSE{col 67}= {res}    0.8984

{txt}{ralign 78:(Std. Err. adjusted for {res:187} clusters in hc_id)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}e_healthou~z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2}-.0025068{col 26}{space 2} .0273728{col 37}{space 1}   -0.09{col 46}{space 3}0.927{col 54}{space 4}-.0565079{col 67}{space 3} .0514943
{txt}b_healthou~z {c |}{col 14}{res}{space 2} .1301056{col 26}{space 2} .0158563{col 37}{space 1}    8.21{col 46}{space 3}0.000{col 54}{space 4} .0988243{col 67}{space 3}  .161387
{txt}b_healthou~d {c |}{col 14}{res}{space 2} .6767453{col 26}{space 2} .0268257{col 37}{space 1}   25.23{col 46}{space 3}0.000{col 54}{space 4} .6238235{col 67}{space 3}  .729667
{txt}{space 1}c_tfull_hc2 {c |}{col 14}{res}{space 2}-.0150939{col 26}{space 2} .0391048{col 37}{space 1}   -0.39{col 46}{space 3}0.700{col 54}{space 4}-.0922398{col 67}{space 3}  .062052
{txt}c_tfull_b_~l {c |}{col 14}{res}{space 2}-.0461058{col 26}{space 2} .0434625{col 37}{space 1}   -1.06{col 46}{space 3}0.290{col 54}{space 4}-.1318486{col 67}{space 3} .0396371
{txt}c_tfull_b_~s {c |}{col 14}{res}{space 2}-.0395781{col 26}{space 2} .0495328{col 37}{space 1}   -0.80{col 46}{space 3}0.425{col 54}{space 4}-.1372963{col 67}{space 3} .0581402
{txt}c_tfull_b_~d {c |}{col 14}{res}{space 2} .0312915{col 26}{space 2} .0564047{col 37}{space 1}    0.55{col 46}{space 3}0.580{col 54}{space 4}-.0799837{col 67}{space 3} .1425667
{txt}c_tfull_ed~r {c |}{col 14}{res}{space 2} .0095071{col 26}{space 2} .0036039{col 37}{space 1}    2.64{col 46}{space 3}0.009{col 54}{space 4} .0023975{col 67}{space 3} .0166168
{txt}c_tfull_b_~x {c |}{col 14}{res}{space 2} .0444258{col 26}{space 2} .0162695{col 37}{space 1}    2.73{col 46}{space 3}0.007{col 54}{space 4} .0123293{col 67}{space 3} .0765224
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} -.511236{col 26}{space 2} .0224249{col 37}{space 1}  -22.80{col 46}{space 3}0.000{col 54}{space 4}-.5554759{col 67}{space 3}-.4669962
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull = .106{p_end}

{txt}       F(  1,   186) ={res}   15.71
{txt}{col 13}Prob > F ={res}    0.0001

{p 0 7}{space 1}{text:( 1)}{space 1} treatfull = -.106{p_end}

{txt}       F(  1,   186) ={res}   14.30
{txt}{col 13}Prob > F ={res}    0.0002

{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}     4,930
{txt}{col 49}F({res}   9{txt},{res}    186{txt}){col 67}= {res}     77.06
{txt}{col 49}Prob > F{col 67}= {res}    0.0000
{txt}{col 49}R-squared{col 67}= {res}    0.1110
{txt}{col 49}Adj R-squared{col 67}= {res}    0.1066
{txt}{col 49}Root MSE{col 67}= {res}    0.8984

{txt}{ralign 78:(Std. Err. adjusted for {res:187} clusters in hc_id)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}e_healthou~z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2}-.0025068{col 26}{space 2} .0273728{col 37}{space 1}   -0.09{col 46}{space 3}0.927{col 54}{space 4}-.0565079{col 67}{space 3} .0514943
{txt}b_healthou~z {c |}{col 14}{res}{space 2} .1301056{col 26}{space 2} .0158563{col 37}{space 1}    8.21{col 46}{space 3}0.000{col 54}{space 4} .0988243{col 67}{space 3}  .161387
{txt}b_healthou~d {c |}{col 14}{res}{space 2} .6767453{col 26}{space 2} .0268257{col 37}{space 1}   25.23{col 46}{space 3}0.000{col 54}{space 4} .6238235{col 67}{space 3}  .729667
{txt}{space 1}c_tfull_hc2 {c |}{col 14}{res}{space 2}-.0150939{col 26}{space 2} .0391048{col 37}{space 1}   -0.39{col 46}{space 3}0.700{col 54}{space 4}-.0922398{col 67}{space 3}  .062052
{txt}c_tfull_b_~l {c |}{col 14}{res}{space 2}-.0461058{col 26}{space 2} .0434625{col 37}{space 1}   -1.06{col 46}{space 3}0.290{col 54}{space 4}-.1318486{col 67}{space 3} .0396371
{txt}c_tfull_b_~s {c |}{col 14}{res}{space 2}-.0395781{col 26}{space 2} .0495328{col 37}{space 1}   -0.80{col 46}{space 3}0.425{col 54}{space 4}-.1372963{col 67}{space 3} .0581402
{txt}c_tfull_b_~d {c |}{col 14}{res}{space 2} .0312915{col 26}{space 2} .0564047{col 37}{space 1}    0.55{col 46}{space 3}0.580{col 54}{space 4}-.0799837{col 67}{space 3} .1425667
{txt}c_tfull_ed~r {c |}{col 14}{res}{space 2} .0095071{col 26}{space 2} .0036039{col 37}{space 1}    2.64{col 46}{space 3}0.009{col 54}{space 4} .0023975{col 67}{space 3} .0166168
{txt}c_tfull_b_~x {c |}{col 14}{res}{space 2} .0444258{col 26}{space 2} .0162695{col 37}{space 1}    2.73{col 46}{space 3}0.007{col 54}{space 4} .0123293{col 67}{space 3} .0765224
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} -.511236{col 26}{space 2} .0224249{col 37}{space 1}  -22.80{col 46}{space 3}0.000{col 54}{space 4}-.5554759{col 67}{space 3}-.4669962
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull = .107{p_end}

{txt}       F(  1,   186) ={res}   16.00
{txt}{col 13}Prob > F ={res}    0.0001

{p 0 7}{space 1}{text:( 1)}{space 1} treatfull = -.107{p_end}

{txt}       F(  1,   186) ={res}   14.57
{txt}{col 13}Prob > F ={res}    0.0002

{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}     4,930
{txt}{col 49}F({res}   9{txt},{res}    186{txt}){col 67}= {res}     77.06
{txt}{col 49}Prob > F{col 67}= {res}    0.0000
{txt}{col 49}R-squared{col 67}= {res}    0.1110
{txt}{col 49}Adj R-squared{col 67}= {res}    0.1066
{txt}{col 49}Root MSE{col 67}= {res}    0.8984

{txt}{ralign 78:(Std. Err. adjusted for {res:187} clusters in hc_id)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}e_healthou~z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2}-.0025068{col 26}{space 2} .0273728{col 37}{space 1}   -0.09{col 46}{space 3}0.927{col 54}{space 4}-.0565079{col 67}{space 3} .0514943
{txt}b_healthou~z {c |}{col 14}{res}{space 2} .1301056{col 26}{space 2} .0158563{col 37}{space 1}    8.21{col 46}{space 3}0.000{col 54}{space 4} .0988243{col 67}{space 3}  .161387
{txt}b_healthou~d {c |}{col 14}{res}{space 2} .6767453{col 26}{space 2} .0268257{col 37}{space 1}   25.23{col 46}{space 3}0.000{col 54}{space 4} .6238235{col 67}{space 3}  .729667
{txt}{space 1}c_tfull_hc2 {c |}{col 14}{res}{space 2}-.0150939{col 26}{space 2} .0391048{col 37}{space 1}   -0.39{col 46}{space 3}0.700{col 54}{space 4}-.0922398{col 67}{space 3}  .062052
{txt}c_tfull_b_~l {c |}{col 14}{res}{space 2}-.0461058{col 26}{space 2} .0434625{col 37}{space 1}   -1.06{col 46}{space 3}0.290{col 54}{space 4}-.1318486{col 67}{space 3} .0396371
{txt}c_tfull_b_~s {c |}{col 14}{res}{space 2}-.0395781{col 26}{space 2} .0495328{col 37}{space 1}   -0.80{col 46}{space 3}0.425{col 54}{space 4}-.1372963{col 67}{space 3} .0581402
{txt}c_tfull_b_~d {c |}{col 14}{res}{space 2} .0312915{col 26}{space 2} .0564047{col 37}{space 1}    0.55{col 46}{space 3}0.580{col 54}{space 4}-.0799837{col 67}{space 3} .1425667
{txt}c_tfull_ed~r {c |}{col 14}{res}{space 2} .0095071{col 26}{space 2} .0036039{col 37}{space 1}    2.64{col 46}{space 3}0.009{col 54}{space 4} .0023975{col 67}{space 3} .0166168
{txt}c_tfull_b_~x {c |}{col 14}{res}{space 2} .0444258{col 26}{space 2} .0162695{col 37}{space 1}    2.73{col 46}{space 3}0.007{col 54}{space 4} .0123293{col 67}{space 3} .0765224
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} -.511236{col 26}{space 2} .0224249{col 37}{space 1}  -22.80{col 46}{space 3}0.000{col 54}{space 4}-.5554759{col 67}{space 3}-.4669962
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull = .108{p_end}

{txt}       F(  1,   186) ={res}   16.30
{txt}{col 13}Prob > F ={res}    0.0001

{p 0 7}{space 1}{text:( 1)}{space 1} treatfull = -.108{p_end}

{txt}       F(  1,   186) ={res}   14.85
{txt}{col 13}Prob > F ={res}    0.0002

{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}     4,930
{txt}{col 49}F({res}   9{txt},{res}    186{txt}){col 67}= {res}     77.06
{txt}{col 49}Prob > F{col 67}= {res}    0.0000
{txt}{col 49}R-squared{col 67}= {res}    0.1110
{txt}{col 49}Adj R-squared{col 67}= {res}    0.1066
{txt}{col 49}Root MSE{col 67}= {res}    0.8984

{txt}{ralign 78:(Std. Err. adjusted for {res:187} clusters in hc_id)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}e_healthou~z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2}-.0025068{col 26}{space 2} .0273728{col 37}{space 1}   -0.09{col 46}{space 3}0.927{col 54}{space 4}-.0565079{col 67}{space 3} .0514943
{txt}b_healthou~z {c |}{col 14}{res}{space 2} .1301056{col 26}{space 2} .0158563{col 37}{space 1}    8.21{col 46}{space 3}0.000{col 54}{space 4} .0988243{col 67}{space 3}  .161387
{txt}b_healthou~d {c |}{col 14}{res}{space 2} .6767453{col 26}{space 2} .0268257{col 37}{space 1}   25.23{col 46}{space 3}0.000{col 54}{space 4} .6238235{col 67}{space 3}  .729667
{txt}{space 1}c_tfull_hc2 {c |}{col 14}{res}{space 2}-.0150939{col 26}{space 2} .0391048{col 37}{space 1}   -0.39{col 46}{space 3}0.700{col 54}{space 4}-.0922398{col 67}{space 3}  .062052
{txt}c_tfull_b_~l {c |}{col 14}{res}{space 2}-.0461058{col 26}{space 2} .0434625{col 37}{space 1}   -1.06{col 46}{space 3}0.290{col 54}{space 4}-.1318486{col 67}{space 3} .0396371
{txt}c_tfull_b_~s {c |}{col 14}{res}{space 2}-.0395781{col 26}{space 2} .0495328{col 37}{space 1}   -0.80{col 46}{space 3}0.425{col 54}{space 4}-.1372963{col 67}{space 3} .0581402
{txt}c_tfull_b_~d {c |}{col 14}{res}{space 2} .0312915{col 26}{space 2} .0564047{col 37}{space 1}    0.55{col 46}{space 3}0.580{col 54}{space 4}-.0799837{col 67}{space 3} .1425667
{txt}c_tfull_ed~r {c |}{col 14}{res}{space 2} .0095071{col 26}{space 2} .0036039{col 37}{space 1}    2.64{col 46}{space 3}0.009{col 54}{space 4} .0023975{col 67}{space 3} .0166168
{txt}c_tfull_b_~x {c |}{col 14}{res}{space 2} .0444258{col 26}{space 2} .0162695{col 37}{space 1}    2.73{col 46}{space 3}0.007{col 54}{space 4} .0123293{col 67}{space 3} .0765224
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} -.511236{col 26}{space 2} .0224249{col 37}{space 1}  -22.80{col 46}{space 3}0.000{col 54}{space 4}-.5554759{col 67}{space 3}-.4669962
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull = .109{p_end}

{txt}       F(  1,   186) ={res}   16.59
{txt}{col 13}Prob > F ={res}    0.0001

{p 0 7}{space 1}{text:( 1)}{space 1} treatfull = -.109{p_end}

{txt}       F(  1,   186) ={res}   15.14
{txt}{col 13}Prob > F ={res}    0.0001

{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}     4,930
{txt}{col 49}F({res}   9{txt},{res}    186{txt}){col 67}= {res}     77.06
{txt}{col 49}Prob > F{col 67}= {res}    0.0000
{txt}{col 49}R-squared{col 67}= {res}    0.1110
{txt}{col 49}Adj R-squared{col 67}= {res}    0.1066
{txt}{col 49}Root MSE{col 67}= {res}    0.8984

{txt}{ralign 78:(Std. Err. adjusted for {res:187} clusters in hc_id)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}e_healthou~z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2}-.0025068{col 26}{space 2} .0273728{col 37}{space 1}   -0.09{col 46}{space 3}0.927{col 54}{space 4}-.0565079{col 67}{space 3} .0514943
{txt}b_healthou~z {c |}{col 14}{res}{space 2} .1301056{col 26}{space 2} .0158563{col 37}{space 1}    8.21{col 46}{space 3}0.000{col 54}{space 4} .0988243{col 67}{space 3}  .161387
{txt}b_healthou~d {c |}{col 14}{res}{space 2} .6767453{col 26}{space 2} .0268257{col 37}{space 1}   25.23{col 46}{space 3}0.000{col 54}{space 4} .6238235{col 67}{space 3}  .729667
{txt}{space 1}c_tfull_hc2 {c |}{col 14}{res}{space 2}-.0150939{col 26}{space 2} .0391048{col 37}{space 1}   -0.39{col 46}{space 3}0.700{col 54}{space 4}-.0922398{col 67}{space 3}  .062052
{txt}c_tfull_b_~l {c |}{col 14}{res}{space 2}-.0461058{col 26}{space 2} .0434625{col 37}{space 1}   -1.06{col 46}{space 3}0.290{col 54}{space 4}-.1318486{col 67}{space 3} .0396371
{txt}c_tfull_b_~s {c |}{col 14}{res}{space 2}-.0395781{col 26}{space 2} .0495328{col 37}{space 1}   -0.80{col 46}{space 3}0.425{col 54}{space 4}-.1372963{col 67}{space 3} .0581402
{txt}c_tfull_b_~d {c |}{col 14}{res}{space 2} .0312915{col 26}{space 2} .0564047{col 37}{space 1}    0.55{col 46}{space 3}0.580{col 54}{space 4}-.0799837{col 67}{space 3} .1425667
{txt}c_tfull_ed~r {c |}{col 14}{res}{space 2} .0095071{col 26}{space 2} .0036039{col 37}{space 1}    2.64{col 46}{space 3}0.009{col 54}{space 4} .0023975{col 67}{space 3} .0166168
{txt}c_tfull_b_~x {c |}{col 14}{res}{space 2} .0444258{col 26}{space 2} .0162695{col 37}{space 1}    2.73{col 46}{space 3}0.007{col 54}{space 4} .0123293{col 67}{space 3} .0765224
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} -.511236{col 26}{space 2} .0224249{col 37}{space 1}  -22.80{col 46}{space 3}0.000{col 54}{space 4}-.5554759{col 67}{space 3}-.4669962
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull = .11{p_end}

{txt}       F(  1,   186) ={res}   16.89
{txt}{col 13}Prob > F ={res}    0.0001

{p 0 7}{space 1}{text:( 1)}{space 1} treatfull = -.11{p_end}

{txt}       F(  1,   186) ={res}   15.42
{txt}{col 13}Prob > F ={res}    0.0001

{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}     4,930
{txt}{col 49}F({res}   9{txt},{res}    186{txt}){col 67}= {res}     77.06
{txt}{col 49}Prob > F{col 67}= {res}    0.0000
{txt}{col 49}R-squared{col 67}= {res}    0.1110
{txt}{col 49}Adj R-squared{col 67}= {res}    0.1066
{txt}{col 49}Root MSE{col 67}= {res}    0.8984

{txt}{ralign 78:(Std. Err. adjusted for {res:187} clusters in hc_id)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}e_healthou~z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2}-.0025068{col 26}{space 2} .0273728{col 37}{space 1}   -0.09{col 46}{space 3}0.927{col 54}{space 4}-.0565079{col 67}{space 3} .0514943
{txt}b_healthou~z {c |}{col 14}{res}{space 2} .1301056{col 26}{space 2} .0158563{col 37}{space 1}    8.21{col 46}{space 3}0.000{col 54}{space 4} .0988243{col 67}{space 3}  .161387
{txt}b_healthou~d {c |}{col 14}{res}{space 2} .6767453{col 26}{space 2} .0268257{col 37}{space 1}   25.23{col 46}{space 3}0.000{col 54}{space 4} .6238235{col 67}{space 3}  .729667
{txt}{space 1}c_tfull_hc2 {c |}{col 14}{res}{space 2}-.0150939{col 26}{space 2} .0391048{col 37}{space 1}   -0.39{col 46}{space 3}0.700{col 54}{space 4}-.0922398{col 67}{space 3}  .062052
{txt}c_tfull_b_~l {c |}{col 14}{res}{space 2}-.0461058{col 26}{space 2} .0434625{col 37}{space 1}   -1.06{col 46}{space 3}0.290{col 54}{space 4}-.1318486{col 67}{space 3} .0396371
{txt}c_tfull_b_~s {c |}{col 14}{res}{space 2}-.0395781{col 26}{space 2} .0495328{col 37}{space 1}   -0.80{col 46}{space 3}0.425{col 54}{space 4}-.1372963{col 67}{space 3} .0581402
{txt}c_tfull_b_~d {c |}{col 14}{res}{space 2} .0312915{col 26}{space 2} .0564047{col 37}{space 1}    0.55{col 46}{space 3}0.580{col 54}{space 4}-.0799837{col 67}{space 3} .1425667
{txt}c_tfull_ed~r {c |}{col 14}{res}{space 2} .0095071{col 26}{space 2} .0036039{col 37}{space 1}    2.64{col 46}{space 3}0.009{col 54}{space 4} .0023975{col 67}{space 3} .0166168
{txt}c_tfull_b_~x {c |}{col 14}{res}{space 2} .0444258{col 26}{space 2} .0162695{col 37}{space 1}    2.73{col 46}{space 3}0.007{col 54}{space 4} .0123293{col 67}{space 3} .0765224
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} -.511236{col 26}{space 2} .0224249{col 37}{space 1}  -22.80{col 46}{space 3}0.000{col 54}{space 4}-.5554759{col 67}{space 3}-.4669962
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull = .111{p_end}

{txt}       F(  1,   186) ={res}   17.20
{txt}{col 13}Prob > F ={res}    0.0001

{p 0 7}{space 1}{text:( 1)}{space 1} treatfull = -.111{p_end}

{txt}       F(  1,   186) ={res}   15.71
{txt}{col 13}Prob > F ={res}    0.0001

{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}     4,930
{txt}{col 49}F({res}   9{txt},{res}    186{txt}){col 67}= {res}     77.06
{txt}{col 49}Prob > F{col 67}= {res}    0.0000
{txt}{col 49}R-squared{col 67}= {res}    0.1110
{txt}{col 49}Adj R-squared{col 67}= {res}    0.1066
{txt}{col 49}Root MSE{col 67}= {res}    0.8984

{txt}{ralign 78:(Std. Err. adjusted for {res:187} clusters in hc_id)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}e_healthou~z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2}-.0025068{col 26}{space 2} .0273728{col 37}{space 1}   -0.09{col 46}{space 3}0.927{col 54}{space 4}-.0565079{col 67}{space 3} .0514943
{txt}b_healthou~z {c |}{col 14}{res}{space 2} .1301056{col 26}{space 2} .0158563{col 37}{space 1}    8.21{col 46}{space 3}0.000{col 54}{space 4} .0988243{col 67}{space 3}  .161387
{txt}b_healthou~d {c |}{col 14}{res}{space 2} .6767453{col 26}{space 2} .0268257{col 37}{space 1}   25.23{col 46}{space 3}0.000{col 54}{space 4} .6238235{col 67}{space 3}  .729667
{txt}{space 1}c_tfull_hc2 {c |}{col 14}{res}{space 2}-.0150939{col 26}{space 2} .0391048{col 37}{space 1}   -0.39{col 46}{space 3}0.700{col 54}{space 4}-.0922398{col 67}{space 3}  .062052
{txt}c_tfull_b_~l {c |}{col 14}{res}{space 2}-.0461058{col 26}{space 2} .0434625{col 37}{space 1}   -1.06{col 46}{space 3}0.290{col 54}{space 4}-.1318486{col 67}{space 3} .0396371
{txt}c_tfull_b_~s {c |}{col 14}{res}{space 2}-.0395781{col 26}{space 2} .0495328{col 37}{space 1}   -0.80{col 46}{space 3}0.425{col 54}{space 4}-.1372963{col 67}{space 3} .0581402
{txt}c_tfull_b_~d {c |}{col 14}{res}{space 2} .0312915{col 26}{space 2} .0564047{col 37}{space 1}    0.55{col 46}{space 3}0.580{col 54}{space 4}-.0799837{col 67}{space 3} .1425667
{txt}c_tfull_ed~r {c |}{col 14}{res}{space 2} .0095071{col 26}{space 2} .0036039{col 37}{space 1}    2.64{col 46}{space 3}0.009{col 54}{space 4} .0023975{col 67}{space 3} .0166168
{txt}c_tfull_b_~x {c |}{col 14}{res}{space 2} .0444258{col 26}{space 2} .0162695{col 37}{space 1}    2.73{col 46}{space 3}0.007{col 54}{space 4} .0123293{col 67}{space 3} .0765224
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} -.511236{col 26}{space 2} .0224249{col 37}{space 1}  -22.80{col 46}{space 3}0.000{col 54}{space 4}-.5554759{col 67}{space 3}-.4669962
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull = .112{p_end}

{txt}       F(  1,   186) ={res}   17.50
{txt}{col 13}Prob > F ={res}    0.0000

{p 0 7}{space 1}{text:( 1)}{space 1} treatfull = -.112{p_end}

{txt}       F(  1,   186) ={res}   16.00
{txt}{col 13}Prob > F ={res}    0.0001

{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}     4,930
{txt}{col 49}F({res}   9{txt},{res}    186{txt}){col 67}= {res}     77.06
{txt}{col 49}Prob > F{col 67}= {res}    0.0000
{txt}{col 49}R-squared{col 67}= {res}    0.1110
{txt}{col 49}Adj R-squared{col 67}= {res}    0.1066
{txt}{col 49}Root MSE{col 67}= {res}    0.8984

{txt}{ralign 78:(Std. Err. adjusted for {res:187} clusters in hc_id)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}e_healthou~z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2}-.0025068{col 26}{space 2} .0273728{col 37}{space 1}   -0.09{col 46}{space 3}0.927{col 54}{space 4}-.0565079{col 67}{space 3} .0514943
{txt}b_healthou~z {c |}{col 14}{res}{space 2} .1301056{col 26}{space 2} .0158563{col 37}{space 1}    8.21{col 46}{space 3}0.000{col 54}{space 4} .0988243{col 67}{space 3}  .161387
{txt}b_healthou~d {c |}{col 14}{res}{space 2} .6767453{col 26}{space 2} .0268257{col 37}{space 1}   25.23{col 46}{space 3}0.000{col 54}{space 4} .6238235{col 67}{space 3}  .729667
{txt}{space 1}c_tfull_hc2 {c |}{col 14}{res}{space 2}-.0150939{col 26}{space 2} .0391048{col 37}{space 1}   -0.39{col 46}{space 3}0.700{col 54}{space 4}-.0922398{col 67}{space 3}  .062052
{txt}c_tfull_b_~l {c |}{col 14}{res}{space 2}-.0461058{col 26}{space 2} .0434625{col 37}{space 1}   -1.06{col 46}{space 3}0.290{col 54}{space 4}-.1318486{col 67}{space 3} .0396371
{txt}c_tfull_b_~s {c |}{col 14}{res}{space 2}-.0395781{col 26}{space 2} .0495328{col 37}{space 1}   -0.80{col 46}{space 3}0.425{col 54}{space 4}-.1372963{col 67}{space 3} .0581402
{txt}c_tfull_b_~d {c |}{col 14}{res}{space 2} .0312915{col 26}{space 2} .0564047{col 37}{space 1}    0.55{col 46}{space 3}0.580{col 54}{space 4}-.0799837{col 67}{space 3} .1425667
{txt}c_tfull_ed~r {c |}{col 14}{res}{space 2} .0095071{col 26}{space 2} .0036039{col 37}{space 1}    2.64{col 46}{space 3}0.009{col 54}{space 4} .0023975{col 67}{space 3} .0166168
{txt}c_tfull_b_~x {c |}{col 14}{res}{space 2} .0444258{col 26}{space 2} .0162695{col 37}{space 1}    2.73{col 46}{space 3}0.007{col 54}{space 4} .0123293{col 67}{space 3} .0765224
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} -.511236{col 26}{space 2} .0224249{col 37}{space 1}  -22.80{col 46}{space 3}0.000{col 54}{space 4}-.5554759{col 67}{space 3}-.4669962
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull = .113{p_end}

{txt}       F(  1,   186) ={res}   17.81
{txt}{col 13}Prob > F ={res}    0.0000

{p 0 7}{space 1}{text:( 1)}{space 1} treatfull = -.113{p_end}

{txt}       F(  1,   186) ={res}   16.29
{txt}{col 13}Prob > F ={res}    0.0001

{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}     4,930
{txt}{col 49}F({res}   9{txt},{res}    186{txt}){col 67}= {res}     77.06
{txt}{col 49}Prob > F{col 67}= {res}    0.0000
{txt}{col 49}R-squared{col 67}= {res}    0.1110
{txt}{col 49}Adj R-squared{col 67}= {res}    0.1066
{txt}{col 49}Root MSE{col 67}= {res}    0.8984

{txt}{ralign 78:(Std. Err. adjusted for {res:187} clusters in hc_id)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}e_healthou~z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2}-.0025068{col 26}{space 2} .0273728{col 37}{space 1}   -0.09{col 46}{space 3}0.927{col 54}{space 4}-.0565079{col 67}{space 3} .0514943
{txt}b_healthou~z {c |}{col 14}{res}{space 2} .1301056{col 26}{space 2} .0158563{col 37}{space 1}    8.21{col 46}{space 3}0.000{col 54}{space 4} .0988243{col 67}{space 3}  .161387
{txt}b_healthou~d {c |}{col 14}{res}{space 2} .6767453{col 26}{space 2} .0268257{col 37}{space 1}   25.23{col 46}{space 3}0.000{col 54}{space 4} .6238235{col 67}{space 3}  .729667
{txt}{space 1}c_tfull_hc2 {c |}{col 14}{res}{space 2}-.0150939{col 26}{space 2} .0391048{col 37}{space 1}   -0.39{col 46}{space 3}0.700{col 54}{space 4}-.0922398{col 67}{space 3}  .062052
{txt}c_tfull_b_~l {c |}{col 14}{res}{space 2}-.0461058{col 26}{space 2} .0434625{col 37}{space 1}   -1.06{col 46}{space 3}0.290{col 54}{space 4}-.1318486{col 67}{space 3} .0396371
{txt}c_tfull_b_~s {c |}{col 14}{res}{space 2}-.0395781{col 26}{space 2} .0495328{col 37}{space 1}   -0.80{col 46}{space 3}0.425{col 54}{space 4}-.1372963{col 67}{space 3} .0581402
{txt}c_tfull_b_~d {c |}{col 14}{res}{space 2} .0312915{col 26}{space 2} .0564047{col 37}{space 1}    0.55{col 46}{space 3}0.580{col 54}{space 4}-.0799837{col 67}{space 3} .1425667
{txt}c_tfull_ed~r {c |}{col 14}{res}{space 2} .0095071{col 26}{space 2} .0036039{col 37}{space 1}    2.64{col 46}{space 3}0.009{col 54}{space 4} .0023975{col 67}{space 3} .0166168
{txt}c_tfull_b_~x {c |}{col 14}{res}{space 2} .0444258{col 26}{space 2} .0162695{col 37}{space 1}    2.73{col 46}{space 3}0.007{col 54}{space 4} .0123293{col 67}{space 3} .0765224
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} -.511236{col 26}{space 2} .0224249{col 37}{space 1}  -22.80{col 46}{space 3}0.000{col 54}{space 4}-.5554759{col 67}{space 3}-.4669962
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull = .114{p_end}

{txt}       F(  1,   186) ={res}   18.12
{txt}{col 13}Prob > F ={res}    0.0000

{p 0 7}{space 1}{text:( 1)}{space 1} treatfull = -.114{p_end}

{txt}       F(  1,   186) ={res}   16.59
{txt}{col 13}Prob > F ={res}    0.0001

{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}     4,930
{txt}{col 49}F({res}   9{txt},{res}    186{txt}){col 67}= {res}     77.06
{txt}{col 49}Prob > F{col 67}= {res}    0.0000
{txt}{col 49}R-squared{col 67}= {res}    0.1110
{txt}{col 49}Adj R-squared{col 67}= {res}    0.1066
{txt}{col 49}Root MSE{col 67}= {res}    0.8984

{txt}{ralign 78:(Std. Err. adjusted for {res:187} clusters in hc_id)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}e_healthou~z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2}-.0025068{col 26}{space 2} .0273728{col 37}{space 1}   -0.09{col 46}{space 3}0.927{col 54}{space 4}-.0565079{col 67}{space 3} .0514943
{txt}b_healthou~z {c |}{col 14}{res}{space 2} .1301056{col 26}{space 2} .0158563{col 37}{space 1}    8.21{col 46}{space 3}0.000{col 54}{space 4} .0988243{col 67}{space 3}  .161387
{txt}b_healthou~d {c |}{col 14}{res}{space 2} .6767453{col 26}{space 2} .0268257{col 37}{space 1}   25.23{col 46}{space 3}0.000{col 54}{space 4} .6238235{col 67}{space 3}  .729667
{txt}{space 1}c_tfull_hc2 {c |}{col 14}{res}{space 2}-.0150939{col 26}{space 2} .0391048{col 37}{space 1}   -0.39{col 46}{space 3}0.700{col 54}{space 4}-.0922398{col 67}{space 3}  .062052
{txt}c_tfull_b_~l {c |}{col 14}{res}{space 2}-.0461058{col 26}{space 2} .0434625{col 37}{space 1}   -1.06{col 46}{space 3}0.290{col 54}{space 4}-.1318486{col 67}{space 3} .0396371
{txt}c_tfull_b_~s {c |}{col 14}{res}{space 2}-.0395781{col 26}{space 2} .0495328{col 37}{space 1}   -0.80{col 46}{space 3}0.425{col 54}{space 4}-.1372963{col 67}{space 3} .0581402
{txt}c_tfull_b_~d {c |}{col 14}{res}{space 2} .0312915{col 26}{space 2} .0564047{col 37}{space 1}    0.55{col 46}{space 3}0.580{col 54}{space 4}-.0799837{col 67}{space 3} .1425667
{txt}c_tfull_ed~r {c |}{col 14}{res}{space 2} .0095071{col 26}{space 2} .0036039{col 37}{space 1}    2.64{col 46}{space 3}0.009{col 54}{space 4} .0023975{col 67}{space 3} .0166168
{txt}c_tfull_b_~x {c |}{col 14}{res}{space 2} .0444258{col 26}{space 2} .0162695{col 37}{space 1}    2.73{col 46}{space 3}0.007{col 54}{space 4} .0123293{col 67}{space 3} .0765224
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} -.511236{col 26}{space 2} .0224249{col 37}{space 1}  -22.80{col 46}{space 3}0.000{col 54}{space 4}-.5554759{col 67}{space 3}-.4669962
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull = .115{p_end}

{txt}       F(  1,   186) ={res}   18.43
{txt}{col 13}Prob > F ={res}    0.0000

{p 0 7}{space 1}{text:( 1)}{space 1} treatfull = -.115{p_end}

{txt}       F(  1,   186) ={res}   16.89
{txt}{col 13}Prob > F ={res}    0.0001

{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}     4,930
{txt}{col 49}F({res}   9{txt},{res}    186{txt}){col 67}= {res}     77.06
{txt}{col 49}Prob > F{col 67}= {res}    0.0000
{txt}{col 49}R-squared{col 67}= {res}    0.1110
{txt}{col 49}Adj R-squared{col 67}= {res}    0.1066
{txt}{col 49}Root MSE{col 67}= {res}    0.8984

{txt}{ralign 78:(Std. Err. adjusted for {res:187} clusters in hc_id)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}e_healthou~z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2}-.0025068{col 26}{space 2} .0273728{col 37}{space 1}   -0.09{col 46}{space 3}0.927{col 54}{space 4}-.0565079{col 67}{space 3} .0514943
{txt}b_healthou~z {c |}{col 14}{res}{space 2} .1301056{col 26}{space 2} .0158563{col 37}{space 1}    8.21{col 46}{space 3}0.000{col 54}{space 4} .0988243{col 67}{space 3}  .161387
{txt}b_healthou~d {c |}{col 14}{res}{space 2} .6767453{col 26}{space 2} .0268257{col 37}{space 1}   25.23{col 46}{space 3}0.000{col 54}{space 4} .6238235{col 67}{space 3}  .729667
{txt}{space 1}c_tfull_hc2 {c |}{col 14}{res}{space 2}-.0150939{col 26}{space 2} .0391048{col 37}{space 1}   -0.39{col 46}{space 3}0.700{col 54}{space 4}-.0922398{col 67}{space 3}  .062052
{txt}c_tfull_b_~l {c |}{col 14}{res}{space 2}-.0461058{col 26}{space 2} .0434625{col 37}{space 1}   -1.06{col 46}{space 3}0.290{col 54}{space 4}-.1318486{col 67}{space 3} .0396371
{txt}c_tfull_b_~s {c |}{col 14}{res}{space 2}-.0395781{col 26}{space 2} .0495328{col 37}{space 1}   -0.80{col 46}{space 3}0.425{col 54}{space 4}-.1372963{col 67}{space 3} .0581402
{txt}c_tfull_b_~d {c |}{col 14}{res}{space 2} .0312915{col 26}{space 2} .0564047{col 37}{space 1}    0.55{col 46}{space 3}0.580{col 54}{space 4}-.0799837{col 67}{space 3} .1425667
{txt}c_tfull_ed~r {c |}{col 14}{res}{space 2} .0095071{col 26}{space 2} .0036039{col 37}{space 1}    2.64{col 46}{space 3}0.009{col 54}{space 4} .0023975{col 67}{space 3} .0166168
{txt}c_tfull_b_~x {c |}{col 14}{res}{space 2} .0444258{col 26}{space 2} .0162695{col 37}{space 1}    2.73{col 46}{space 3}0.007{col 54}{space 4} .0123293{col 67}{space 3} .0765224
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} -.511236{col 26}{space 2} .0224249{col 37}{space 1}  -22.80{col 46}{space 3}0.000{col 54}{space 4}-.5554759{col 67}{space 3}-.4669962
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull = .116{p_end}

{txt}       F(  1,   186) ={res}   18.74
{txt}{col 13}Prob > F ={res}    0.0000

{p 0 7}{space 1}{text:( 1)}{space 1} treatfull = -.116{p_end}

{txt}       F(  1,   186) ={res}   17.19
{txt}{col 13}Prob > F ={res}    0.0001

{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}     4,930
{txt}{col 49}F({res}   9{txt},{res}    186{txt}){col 67}= {res}     77.06
{txt}{col 49}Prob > F{col 67}= {res}    0.0000
{txt}{col 49}R-squared{col 67}= {res}    0.1110
{txt}{col 49}Adj R-squared{col 67}= {res}    0.1066
{txt}{col 49}Root MSE{col 67}= {res}    0.8984

{txt}{ralign 78:(Std. Err. adjusted for {res:187} clusters in hc_id)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}e_healthou~z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2}-.0025068{col 26}{space 2} .0273728{col 37}{space 1}   -0.09{col 46}{space 3}0.927{col 54}{space 4}-.0565079{col 67}{space 3} .0514943
{txt}b_healthou~z {c |}{col 14}{res}{space 2} .1301056{col 26}{space 2} .0158563{col 37}{space 1}    8.21{col 46}{space 3}0.000{col 54}{space 4} .0988243{col 67}{space 3}  .161387
{txt}b_healthou~d {c |}{col 14}{res}{space 2} .6767453{col 26}{space 2} .0268257{col 37}{space 1}   25.23{col 46}{space 3}0.000{col 54}{space 4} .6238235{col 67}{space 3}  .729667
{txt}{space 1}c_tfull_hc2 {c |}{col 14}{res}{space 2}-.0150939{col 26}{space 2} .0391048{col 37}{space 1}   -0.39{col 46}{space 3}0.700{col 54}{space 4}-.0922398{col 67}{space 3}  .062052
{txt}c_tfull_b_~l {c |}{col 14}{res}{space 2}-.0461058{col 26}{space 2} .0434625{col 37}{space 1}   -1.06{col 46}{space 3}0.290{col 54}{space 4}-.1318486{col 67}{space 3} .0396371
{txt}c_tfull_b_~s {c |}{col 14}{res}{space 2}-.0395781{col 26}{space 2} .0495328{col 37}{space 1}   -0.80{col 46}{space 3}0.425{col 54}{space 4}-.1372963{col 67}{space 3} .0581402
{txt}c_tfull_b_~d {c |}{col 14}{res}{space 2} .0312915{col 26}{space 2} .0564047{col 37}{space 1}    0.55{col 46}{space 3}0.580{col 54}{space 4}-.0799837{col 67}{space 3} .1425667
{txt}c_tfull_ed~r {c |}{col 14}{res}{space 2} .0095071{col 26}{space 2} .0036039{col 37}{space 1}    2.64{col 46}{space 3}0.009{col 54}{space 4} .0023975{col 67}{space 3} .0166168
{txt}c_tfull_b_~x {c |}{col 14}{res}{space 2} .0444258{col 26}{space 2} .0162695{col 37}{space 1}    2.73{col 46}{space 3}0.007{col 54}{space 4} .0123293{col 67}{space 3} .0765224
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} -.511236{col 26}{space 2} .0224249{col 37}{space 1}  -22.80{col 46}{space 3}0.000{col 54}{space 4}-.5554759{col 67}{space 3}-.4669962
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull = .117{p_end}

{txt}       F(  1,   186) ={res}   19.06
{txt}{col 13}Prob > F ={res}    0.0000

{p 0 7}{space 1}{text:( 1)}{space 1} treatfull = -.117{p_end}

{txt}       F(  1,   186) ={res}   17.50
{txt}{col 13}Prob > F ={res}    0.0000

{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}     4,930
{txt}{col 49}F({res}   9{txt},{res}    186{txt}){col 67}= {res}     77.06
{txt}{col 49}Prob > F{col 67}= {res}    0.0000
{txt}{col 49}R-squared{col 67}= {res}    0.1110
{txt}{col 49}Adj R-squared{col 67}= {res}    0.1066
{txt}{col 49}Root MSE{col 67}= {res}    0.8984

{txt}{ralign 78:(Std. Err. adjusted for {res:187} clusters in hc_id)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}e_healthou~z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2}-.0025068{col 26}{space 2} .0273728{col 37}{space 1}   -0.09{col 46}{space 3}0.927{col 54}{space 4}-.0565079{col 67}{space 3} .0514943
{txt}b_healthou~z {c |}{col 14}{res}{space 2} .1301056{col 26}{space 2} .0158563{col 37}{space 1}    8.21{col 46}{space 3}0.000{col 54}{space 4} .0988243{col 67}{space 3}  .161387
{txt}b_healthou~d {c |}{col 14}{res}{space 2} .6767453{col 26}{space 2} .0268257{col 37}{space 1}   25.23{col 46}{space 3}0.000{col 54}{space 4} .6238235{col 67}{space 3}  .729667
{txt}{space 1}c_tfull_hc2 {c |}{col 14}{res}{space 2}-.0150939{col 26}{space 2} .0391048{col 37}{space 1}   -0.39{col 46}{space 3}0.700{col 54}{space 4}-.0922398{col 67}{space 3}  .062052
{txt}c_tfull_b_~l {c |}{col 14}{res}{space 2}-.0461058{col 26}{space 2} .0434625{col 37}{space 1}   -1.06{col 46}{space 3}0.290{col 54}{space 4}-.1318486{col 67}{space 3} .0396371
{txt}c_tfull_b_~s {c |}{col 14}{res}{space 2}-.0395781{col 26}{space 2} .0495328{col 37}{space 1}   -0.80{col 46}{space 3}0.425{col 54}{space 4}-.1372963{col 67}{space 3} .0581402
{txt}c_tfull_b_~d {c |}{col 14}{res}{space 2} .0312915{col 26}{space 2} .0564047{col 37}{space 1}    0.55{col 46}{space 3}0.580{col 54}{space 4}-.0799837{col 67}{space 3} .1425667
{txt}c_tfull_ed~r {c |}{col 14}{res}{space 2} .0095071{col 26}{space 2} .0036039{col 37}{space 1}    2.64{col 46}{space 3}0.009{col 54}{space 4} .0023975{col 67}{space 3} .0166168
{txt}c_tfull_b_~x {c |}{col 14}{res}{space 2} .0444258{col 26}{space 2} .0162695{col 37}{space 1}    2.73{col 46}{space 3}0.007{col 54}{space 4} .0123293{col 67}{space 3} .0765224
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} -.511236{col 26}{space 2} .0224249{col 37}{space 1}  -22.80{col 46}{space 3}0.000{col 54}{space 4}-.5554759{col 67}{space 3}-.4669962
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull = .118{p_end}

{txt}       F(  1,   186) ={res}   19.38
{txt}{col 13}Prob > F ={res}    0.0000

{p 0 7}{space 1}{text:( 1)}{space 1} treatfull = -.118{p_end}

{txt}       F(  1,   186) ={res}   17.80
{txt}{col 13}Prob > F ={res}    0.0000

{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}     4,930
{txt}{col 49}F({res}   9{txt},{res}    186{txt}){col 67}= {res}     77.06
{txt}{col 49}Prob > F{col 67}= {res}    0.0000
{txt}{col 49}R-squared{col 67}= {res}    0.1110
{txt}{col 49}Adj R-squared{col 67}= {res}    0.1066
{txt}{col 49}Root MSE{col 67}= {res}    0.8984

{txt}{ralign 78:(Std. Err. adjusted for {res:187} clusters in hc_id)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}e_healthou~z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2}-.0025068{col 26}{space 2} .0273728{col 37}{space 1}   -0.09{col 46}{space 3}0.927{col 54}{space 4}-.0565079{col 67}{space 3} .0514943
{txt}b_healthou~z {c |}{col 14}{res}{space 2} .1301056{col 26}{space 2} .0158563{col 37}{space 1}    8.21{col 46}{space 3}0.000{col 54}{space 4} .0988243{col 67}{space 3}  .161387
{txt}b_healthou~d {c |}{col 14}{res}{space 2} .6767453{col 26}{space 2} .0268257{col 37}{space 1}   25.23{col 46}{space 3}0.000{col 54}{space 4} .6238235{col 67}{space 3}  .729667
{txt}{space 1}c_tfull_hc2 {c |}{col 14}{res}{space 2}-.0150939{col 26}{space 2} .0391048{col 37}{space 1}   -0.39{col 46}{space 3}0.700{col 54}{space 4}-.0922398{col 67}{space 3}  .062052
{txt}c_tfull_b_~l {c |}{col 14}{res}{space 2}-.0461058{col 26}{space 2} .0434625{col 37}{space 1}   -1.06{col 46}{space 3}0.290{col 54}{space 4}-.1318486{col 67}{space 3} .0396371
{txt}c_tfull_b_~s {c |}{col 14}{res}{space 2}-.0395781{col 26}{space 2} .0495328{col 37}{space 1}   -0.80{col 46}{space 3}0.425{col 54}{space 4}-.1372963{col 67}{space 3} .0581402
{txt}c_tfull_b_~d {c |}{col 14}{res}{space 2} .0312915{col 26}{space 2} .0564047{col 37}{space 1}    0.55{col 46}{space 3}0.580{col 54}{space 4}-.0799837{col 67}{space 3} .1425667
{txt}c_tfull_ed~r {c |}{col 14}{res}{space 2} .0095071{col 26}{space 2} .0036039{col 37}{space 1}    2.64{col 46}{space 3}0.009{col 54}{space 4} .0023975{col 67}{space 3} .0166168
{txt}c_tfull_b_~x {c |}{col 14}{res}{space 2} .0444258{col 26}{space 2} .0162695{col 37}{space 1}    2.73{col 46}{space 3}0.007{col 54}{space 4} .0123293{col 67}{space 3} .0765224
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} -.511236{col 26}{space 2} .0224249{col 37}{space 1}  -22.80{col 46}{space 3}0.000{col 54}{space 4}-.5554759{col 67}{space 3}-.4669962
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull = .119{p_end}

{txt}       F(  1,   186) ={res}   19.70
{txt}{col 13}Prob > F ={res}    0.0000

{p 0 7}{space 1}{text:( 1)}{space 1} treatfull = -.119{p_end}

{txt}       F(  1,   186) ={res}   18.11
{txt}{col 13}Prob > F ={res}    0.0000

{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}     4,930
{txt}{col 49}F({res}   9{txt},{res}    186{txt}){col 67}= {res}     77.06
{txt}{col 49}Prob > F{col 67}= {res}    0.0000
{txt}{col 49}R-squared{col 67}= {res}    0.1110
{txt}{col 49}Adj R-squared{col 67}= {res}    0.1066
{txt}{col 49}Root MSE{col 67}= {res}    0.8984

{txt}{ralign 78:(Std. Err. adjusted for {res:187} clusters in hc_id)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}e_healthou~z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2}-.0025068{col 26}{space 2} .0273728{col 37}{space 1}   -0.09{col 46}{space 3}0.927{col 54}{space 4}-.0565079{col 67}{space 3} .0514943
{txt}b_healthou~z {c |}{col 14}{res}{space 2} .1301056{col 26}{space 2} .0158563{col 37}{space 1}    8.21{col 46}{space 3}0.000{col 54}{space 4} .0988243{col 67}{space 3}  .161387
{txt}b_healthou~d {c |}{col 14}{res}{space 2} .6767453{col 26}{space 2} .0268257{col 37}{space 1}   25.23{col 46}{space 3}0.000{col 54}{space 4} .6238235{col 67}{space 3}  .729667
{txt}{space 1}c_tfull_hc2 {c |}{col 14}{res}{space 2}-.0150939{col 26}{space 2} .0391048{col 37}{space 1}   -0.39{col 46}{space 3}0.700{col 54}{space 4}-.0922398{col 67}{space 3}  .062052
{txt}c_tfull_b_~l {c |}{col 14}{res}{space 2}-.0461058{col 26}{space 2} .0434625{col 37}{space 1}   -1.06{col 46}{space 3}0.290{col 54}{space 4}-.1318486{col 67}{space 3} .0396371
{txt}c_tfull_b_~s {c |}{col 14}{res}{space 2}-.0395781{col 26}{space 2} .0495328{col 37}{space 1}   -0.80{col 46}{space 3}0.425{col 54}{space 4}-.1372963{col 67}{space 3} .0581402
{txt}c_tfull_b_~d {c |}{col 14}{res}{space 2} .0312915{col 26}{space 2} .0564047{col 37}{space 1}    0.55{col 46}{space 3}0.580{col 54}{space 4}-.0799837{col 67}{space 3} .1425667
{txt}c_tfull_ed~r {c |}{col 14}{res}{space 2} .0095071{col 26}{space 2} .0036039{col 37}{space 1}    2.64{col 46}{space 3}0.009{col 54}{space 4} .0023975{col 67}{space 3} .0166168
{txt}c_tfull_b_~x {c |}{col 14}{res}{space 2} .0444258{col 26}{space 2} .0162695{col 37}{space 1}    2.73{col 46}{space 3}0.007{col 54}{space 4} .0123293{col 67}{space 3} .0765224
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} -.511236{col 26}{space 2} .0224249{col 37}{space 1}  -22.80{col 46}{space 3}0.000{col 54}{space 4}-.5554759{col 67}{space 3}-.4669962
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull = .12{p_end}

{txt}       F(  1,   186) ={res}   20.03
{txt}{col 13}Prob > F ={res}    0.0000

{p 0 7}{space 1}{text:( 1)}{space 1} treatfull = -.12{p_end}

{txt}       F(  1,   186) ={res}   18.42
{txt}{col 13}Prob > F ={res}    0.0000

{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}     4,930
{txt}{col 49}F({res}   9{txt},{res}    186{txt}){col 67}= {res}     77.06
{txt}{col 49}Prob > F{col 67}= {res}    0.0000
{txt}{col 49}R-squared{col 67}= {res}    0.1110
{txt}{col 49}Adj R-squared{col 67}= {res}    0.1066
{txt}{col 49}Root MSE{col 67}= {res}    0.8984

{txt}{ralign 78:(Std. Err. adjusted for {res:187} clusters in hc_id)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}e_healthou~z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2}-.0025068{col 26}{space 2} .0273728{col 37}{space 1}   -0.09{col 46}{space 3}0.927{col 54}{space 4}-.0565079{col 67}{space 3} .0514943
{txt}b_healthou~z {c |}{col 14}{res}{space 2} .1301056{col 26}{space 2} .0158563{col 37}{space 1}    8.21{col 46}{space 3}0.000{col 54}{space 4} .0988243{col 67}{space 3}  .161387
{txt}b_healthou~d {c |}{col 14}{res}{space 2} .6767453{col 26}{space 2} .0268257{col 37}{space 1}   25.23{col 46}{space 3}0.000{col 54}{space 4} .6238235{col 67}{space 3}  .729667
{txt}{space 1}c_tfull_hc2 {c |}{col 14}{res}{space 2}-.0150939{col 26}{space 2} .0391048{col 37}{space 1}   -0.39{col 46}{space 3}0.700{col 54}{space 4}-.0922398{col 67}{space 3}  .062052
{txt}c_tfull_b_~l {c |}{col 14}{res}{space 2}-.0461058{col 26}{space 2} .0434625{col 37}{space 1}   -1.06{col 46}{space 3}0.290{col 54}{space 4}-.1318486{col 67}{space 3} .0396371
{txt}c_tfull_b_~s {c |}{col 14}{res}{space 2}-.0395781{col 26}{space 2} .0495328{col 37}{space 1}   -0.80{col 46}{space 3}0.425{col 54}{space 4}-.1372963{col 67}{space 3} .0581402
{txt}c_tfull_b_~d {c |}{col 14}{res}{space 2} .0312915{col 26}{space 2} .0564047{col 37}{space 1}    0.55{col 46}{space 3}0.580{col 54}{space 4}-.0799837{col 67}{space 3} .1425667
{txt}c_tfull_ed~r {c |}{col 14}{res}{space 2} .0095071{col 26}{space 2} .0036039{col 37}{space 1}    2.64{col 46}{space 3}0.009{col 54}{space 4} .0023975{col 67}{space 3} .0166168
{txt}c_tfull_b_~x {c |}{col 14}{res}{space 2} .0444258{col 26}{space 2} .0162695{col 37}{space 1}    2.73{col 46}{space 3}0.007{col 54}{space 4} .0123293{col 67}{space 3} .0765224
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} -.511236{col 26}{space 2} .0224249{col 37}{space 1}  -22.80{col 46}{space 3}0.000{col 54}{space 4}-.5554759{col 67}{space 3}-.4669962
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull = .121{p_end}

{txt}       F(  1,   186) ={res}   20.36
{txt}{col 13}Prob > F ={res}    0.0000

{p 0 7}{space 1}{text:( 1)}{space 1} treatfull = -.121{p_end}

{txt}       F(  1,   186) ={res}   18.74
{txt}{col 13}Prob > F ={res}    0.0000

{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}     4,930
{txt}{col 49}F({res}   9{txt},{res}    186{txt}){col 67}= {res}     77.06
{txt}{col 49}Prob > F{col 67}= {res}    0.0000
{txt}{col 49}R-squared{col 67}= {res}    0.1110
{txt}{col 49}Adj R-squared{col 67}= {res}    0.1066
{txt}{col 49}Root MSE{col 67}= {res}    0.8984

{txt}{ralign 78:(Std. Err. adjusted for {res:187} clusters in hc_id)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}e_healthou~z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2}-.0025068{col 26}{space 2} .0273728{col 37}{space 1}   -0.09{col 46}{space 3}0.927{col 54}{space 4}-.0565079{col 67}{space 3} .0514943
{txt}b_healthou~z {c |}{col 14}{res}{space 2} .1301056{col 26}{space 2} .0158563{col 37}{space 1}    8.21{col 46}{space 3}0.000{col 54}{space 4} .0988243{col 67}{space 3}  .161387
{txt}b_healthou~d {c |}{col 14}{res}{space 2} .6767453{col 26}{space 2} .0268257{col 37}{space 1}   25.23{col 46}{space 3}0.000{col 54}{space 4} .6238235{col 67}{space 3}  .729667
{txt}{space 1}c_tfull_hc2 {c |}{col 14}{res}{space 2}-.0150939{col 26}{space 2} .0391048{col 37}{space 1}   -0.39{col 46}{space 3}0.700{col 54}{space 4}-.0922398{col 67}{space 3}  .062052
{txt}c_tfull_b_~l {c |}{col 14}{res}{space 2}-.0461058{col 26}{space 2} .0434625{col 37}{space 1}   -1.06{col 46}{space 3}0.290{col 54}{space 4}-.1318486{col 67}{space 3} .0396371
{txt}c_tfull_b_~s {c |}{col 14}{res}{space 2}-.0395781{col 26}{space 2} .0495328{col 37}{space 1}   -0.80{col 46}{space 3}0.425{col 54}{space 4}-.1372963{col 67}{space 3} .0581402
{txt}c_tfull_b_~d {c |}{col 14}{res}{space 2} .0312915{col 26}{space 2} .0564047{col 37}{space 1}    0.55{col 46}{space 3}0.580{col 54}{space 4}-.0799837{col 67}{space 3} .1425667
{txt}c_tfull_ed~r {c |}{col 14}{res}{space 2} .0095071{col 26}{space 2} .0036039{col 37}{space 1}    2.64{col 46}{space 3}0.009{col 54}{space 4} .0023975{col 67}{space 3} .0166168
{txt}c_tfull_b_~x {c |}{col 14}{res}{space 2} .0444258{col 26}{space 2} .0162695{col 37}{space 1}    2.73{col 46}{space 3}0.007{col 54}{space 4} .0123293{col 67}{space 3} .0765224
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} -.511236{col 26}{space 2} .0224249{col 37}{space 1}  -22.80{col 46}{space 3}0.000{col 54}{space 4}-.5554759{col 67}{space 3}-.4669962
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull = .122{p_end}

{txt}       F(  1,   186) ={res}   20.69
{txt}{col 13}Prob > F ={res}    0.0000

{p 0 7}{space 1}{text:( 1)}{space 1} treatfull = -.122{p_end}

{txt}       F(  1,   186) ={res}   19.06
{txt}{col 13}Prob > F ={res}    0.0000

{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}     4,930
{txt}{col 49}F({res}   9{txt},{res}    186{txt}){col 67}= {res}     77.06
{txt}{col 49}Prob > F{col 67}= {res}    0.0000
{txt}{col 49}R-squared{col 67}= {res}    0.1110
{txt}{col 49}Adj R-squared{col 67}= {res}    0.1066
{txt}{col 49}Root MSE{col 67}= {res}    0.8984

{txt}{ralign 78:(Std. Err. adjusted for {res:187} clusters in hc_id)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}e_healthou~z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2}-.0025068{col 26}{space 2} .0273728{col 37}{space 1}   -0.09{col 46}{space 3}0.927{col 54}{space 4}-.0565079{col 67}{space 3} .0514943
{txt}b_healthou~z {c |}{col 14}{res}{space 2} .1301056{col 26}{space 2} .0158563{col 37}{space 1}    8.21{col 46}{space 3}0.000{col 54}{space 4} .0988243{col 67}{space 3}  .161387
{txt}b_healthou~d {c |}{col 14}{res}{space 2} .6767453{col 26}{space 2} .0268257{col 37}{space 1}   25.23{col 46}{space 3}0.000{col 54}{space 4} .6238235{col 67}{space 3}  .729667
{txt}{space 1}c_tfull_hc2 {c |}{col 14}{res}{space 2}-.0150939{col 26}{space 2} .0391048{col 37}{space 1}   -0.39{col 46}{space 3}0.700{col 54}{space 4}-.0922398{col 67}{space 3}  .062052
{txt}c_tfull_b_~l {c |}{col 14}{res}{space 2}-.0461058{col 26}{space 2} .0434625{col 37}{space 1}   -1.06{col 46}{space 3}0.290{col 54}{space 4}-.1318486{col 67}{space 3} .0396371
{txt}c_tfull_b_~s {c |}{col 14}{res}{space 2}-.0395781{col 26}{space 2} .0495328{col 37}{space 1}   -0.80{col 46}{space 3}0.425{col 54}{space 4}-.1372963{col 67}{space 3} .0581402
{txt}c_tfull_b_~d {c |}{col 14}{res}{space 2} .0312915{col 26}{space 2} .0564047{col 37}{space 1}    0.55{col 46}{space 3}0.580{col 54}{space 4}-.0799837{col 67}{space 3} .1425667
{txt}c_tfull_ed~r {c |}{col 14}{res}{space 2} .0095071{col 26}{space 2} .0036039{col 37}{space 1}    2.64{col 46}{space 3}0.009{col 54}{space 4} .0023975{col 67}{space 3} .0166168
{txt}c_tfull_b_~x {c |}{col 14}{res}{space 2} .0444258{col 26}{space 2} .0162695{col 37}{space 1}    2.73{col 46}{space 3}0.007{col 54}{space 4} .0123293{col 67}{space 3} .0765224
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} -.511236{col 26}{space 2} .0224249{col 37}{space 1}  -22.80{col 46}{space 3}0.000{col 54}{space 4}-.5554759{col 67}{space 3}-.4669962
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull = .123{p_end}

{txt}       F(  1,   186) ={res}   21.02
{txt}{col 13}Prob > F ={res}    0.0000

{p 0 7}{space 1}{text:( 1)}{space 1} treatfull = -.123{p_end}

{txt}       F(  1,   186) ={res}   19.38
{txt}{col 13}Prob > F ={res}    0.0000

{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}     4,930
{txt}{col 49}F({res}   9{txt},{res}    186{txt}){col 67}= {res}     77.06
{txt}{col 49}Prob > F{col 67}= {res}    0.0000
{txt}{col 49}R-squared{col 67}= {res}    0.1110
{txt}{col 49}Adj R-squared{col 67}= {res}    0.1066
{txt}{col 49}Root MSE{col 67}= {res}    0.8984

{txt}{ralign 78:(Std. Err. adjusted for {res:187} clusters in hc_id)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}e_healthou~z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2}-.0025068{col 26}{space 2} .0273728{col 37}{space 1}   -0.09{col 46}{space 3}0.927{col 54}{space 4}-.0565079{col 67}{space 3} .0514943
{txt}b_healthou~z {c |}{col 14}{res}{space 2} .1301056{col 26}{space 2} .0158563{col 37}{space 1}    8.21{col 46}{space 3}0.000{col 54}{space 4} .0988243{col 67}{space 3}  .161387
{txt}b_healthou~d {c |}{col 14}{res}{space 2} .6767453{col 26}{space 2} .0268257{col 37}{space 1}   25.23{col 46}{space 3}0.000{col 54}{space 4} .6238235{col 67}{space 3}  .729667
{txt}{space 1}c_tfull_hc2 {c |}{col 14}{res}{space 2}-.0150939{col 26}{space 2} .0391048{col 37}{space 1}   -0.39{col 46}{space 3}0.700{col 54}{space 4}-.0922398{col 67}{space 3}  .062052
{txt}c_tfull_b_~l {c |}{col 14}{res}{space 2}-.0461058{col 26}{space 2} .0434625{col 37}{space 1}   -1.06{col 46}{space 3}0.290{col 54}{space 4}-.1318486{col 67}{space 3} .0396371
{txt}c_tfull_b_~s {c |}{col 14}{res}{space 2}-.0395781{col 26}{space 2} .0495328{col 37}{space 1}   -0.80{col 46}{space 3}0.425{col 54}{space 4}-.1372963{col 67}{space 3} .0581402
{txt}c_tfull_b_~d {c |}{col 14}{res}{space 2} .0312915{col 26}{space 2} .0564047{col 37}{space 1}    0.55{col 46}{space 3}0.580{col 54}{space 4}-.0799837{col 67}{space 3} .1425667
{txt}c_tfull_ed~r {c |}{col 14}{res}{space 2} .0095071{col 26}{space 2} .0036039{col 37}{space 1}    2.64{col 46}{space 3}0.009{col 54}{space 4} .0023975{col 67}{space 3} .0166168
{txt}c_tfull_b_~x {c |}{col 14}{res}{space 2} .0444258{col 26}{space 2} .0162695{col 37}{space 1}    2.73{col 46}{space 3}0.007{col 54}{space 4} .0123293{col 67}{space 3} .0765224
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} -.511236{col 26}{space 2} .0224249{col 37}{space 1}  -22.80{col 46}{space 3}0.000{col 54}{space 4}-.5554759{col 67}{space 3}-.4669962
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull = .124{p_end}

{txt}       F(  1,   186) ={res}   21.36
{txt}{col 13}Prob > F ={res}    0.0000

{p 0 7}{space 1}{text:( 1)}{space 1} treatfull = -.124{p_end}

{txt}       F(  1,   186) ={res}   19.70
{txt}{col 13}Prob > F ={res}    0.0000

{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}     4,930
{txt}{col 49}F({res}   9{txt},{res}    186{txt}){col 67}= {res}     77.06
{txt}{col 49}Prob > F{col 67}= {res}    0.0000
{txt}{col 49}R-squared{col 67}= {res}    0.1110
{txt}{col 49}Adj R-squared{col 67}= {res}    0.1066
{txt}{col 49}Root MSE{col 67}= {res}    0.8984

{txt}{ralign 78:(Std. Err. adjusted for {res:187} clusters in hc_id)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}e_healthou~z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2}-.0025068{col 26}{space 2} .0273728{col 37}{space 1}   -0.09{col 46}{space 3}0.927{col 54}{space 4}-.0565079{col 67}{space 3} .0514943
{txt}b_healthou~z {c |}{col 14}{res}{space 2} .1301056{col 26}{space 2} .0158563{col 37}{space 1}    8.21{col 46}{space 3}0.000{col 54}{space 4} .0988243{col 67}{space 3}  .161387
{txt}b_healthou~d {c |}{col 14}{res}{space 2} .6767453{col 26}{space 2} .0268257{col 37}{space 1}   25.23{col 46}{space 3}0.000{col 54}{space 4} .6238235{col 67}{space 3}  .729667
{txt}{space 1}c_tfull_hc2 {c |}{col 14}{res}{space 2}-.0150939{col 26}{space 2} .0391048{col 37}{space 1}   -0.39{col 46}{space 3}0.700{col 54}{space 4}-.0922398{col 67}{space 3}  .062052
{txt}c_tfull_b_~l {c |}{col 14}{res}{space 2}-.0461058{col 26}{space 2} .0434625{col 37}{space 1}   -1.06{col 46}{space 3}0.290{col 54}{space 4}-.1318486{col 67}{space 3} .0396371
{txt}c_tfull_b_~s {c |}{col 14}{res}{space 2}-.0395781{col 26}{space 2} .0495328{col 37}{space 1}   -0.80{col 46}{space 3}0.425{col 54}{space 4}-.1372963{col 67}{space 3} .0581402
{txt}c_tfull_b_~d {c |}{col 14}{res}{space 2} .0312915{col 26}{space 2} .0564047{col 37}{space 1}    0.55{col 46}{space 3}0.580{col 54}{space 4}-.0799837{col 67}{space 3} .1425667
{txt}c_tfull_ed~r {c |}{col 14}{res}{space 2} .0095071{col 26}{space 2} .0036039{col 37}{space 1}    2.64{col 46}{space 3}0.009{col 54}{space 4} .0023975{col 67}{space 3} .0166168
{txt}c_tfull_b_~x {c |}{col 14}{res}{space 2} .0444258{col 26}{space 2} .0162695{col 37}{space 1}    2.73{col 46}{space 3}0.007{col 54}{space 4} .0123293{col 67}{space 3} .0765224
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} -.511236{col 26}{space 2} .0224249{col 37}{space 1}  -22.80{col 46}{space 3}0.000{col 54}{space 4}-.5554759{col 67}{space 3}-.4669962
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull = .125{p_end}

{txt}       F(  1,   186) ={res}   21.70
{txt}{col 13}Prob > F ={res}    0.0000

{p 0 7}{space 1}{text:( 1)}{space 1} treatfull = -.125{p_end}

{txt}       F(  1,   186) ={res}   20.03
{txt}{col 13}Prob > F ={res}    0.0000

{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}     4,930
{txt}{col 49}F({res}   9{txt},{res}    186{txt}){col 67}= {res}     77.06
{txt}{col 49}Prob > F{col 67}= {res}    0.0000
{txt}{col 49}R-squared{col 67}= {res}    0.1110
{txt}{col 49}Adj R-squared{col 67}= {res}    0.1066
{txt}{col 49}Root MSE{col 67}= {res}    0.8984

{txt}{ralign 78:(Std. Err. adjusted for {res:187} clusters in hc_id)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}e_healthou~z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2}-.0025068{col 26}{space 2} .0273728{col 37}{space 1}   -0.09{col 46}{space 3}0.927{col 54}{space 4}-.0565079{col 67}{space 3} .0514943
{txt}b_healthou~z {c |}{col 14}{res}{space 2} .1301056{col 26}{space 2} .0158563{col 37}{space 1}    8.21{col 46}{space 3}0.000{col 54}{space 4} .0988243{col 67}{space 3}  .161387
{txt}b_healthou~d {c |}{col 14}{res}{space 2} .6767453{col 26}{space 2} .0268257{col 37}{space 1}   25.23{col 46}{space 3}0.000{col 54}{space 4} .6238235{col 67}{space 3}  .729667
{txt}{space 1}c_tfull_hc2 {c |}{col 14}{res}{space 2}-.0150939{col 26}{space 2} .0391048{col 37}{space 1}   -0.39{col 46}{space 3}0.700{col 54}{space 4}-.0922398{col 67}{space 3}  .062052
{txt}c_tfull_b_~l {c |}{col 14}{res}{space 2}-.0461058{col 26}{space 2} .0434625{col 37}{space 1}   -1.06{col 46}{space 3}0.290{col 54}{space 4}-.1318486{col 67}{space 3} .0396371
{txt}c_tfull_b_~s {c |}{col 14}{res}{space 2}-.0395781{col 26}{space 2} .0495328{col 37}{space 1}   -0.80{col 46}{space 3}0.425{col 54}{space 4}-.1372963{col 67}{space 3} .0581402
{txt}c_tfull_b_~d {c |}{col 14}{res}{space 2} .0312915{col 26}{space 2} .0564047{col 37}{space 1}    0.55{col 46}{space 3}0.580{col 54}{space 4}-.0799837{col 67}{space 3} .1425667
{txt}c_tfull_ed~r {c |}{col 14}{res}{space 2} .0095071{col 26}{space 2} .0036039{col 37}{space 1}    2.64{col 46}{space 3}0.009{col 54}{space 4} .0023975{col 67}{space 3} .0166168
{txt}c_tfull_b_~x {c |}{col 14}{res}{space 2} .0444258{col 26}{space 2} .0162695{col 37}{space 1}    2.73{col 46}{space 3}0.007{col 54}{space 4} .0123293{col 67}{space 3} .0765224
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} -.511236{col 26}{space 2} .0224249{col 37}{space 1}  -22.80{col 46}{space 3}0.000{col 54}{space 4}-.5554759{col 67}{space 3}-.4669962
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull = .126{p_end}

{txt}       F(  1,   186) ={res}   22.04
{txt}{col 13}Prob > F ={res}    0.0000

{p 0 7}{space 1}{text:( 1)}{space 1} treatfull = -.126{p_end}

{txt}       F(  1,   186) ={res}   20.35
{txt}{col 13}Prob > F ={res}    0.0000

{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}     4,930
{txt}{col 49}F({res}   9{txt},{res}    186{txt}){col 67}= {res}     77.06
{txt}{col 49}Prob > F{col 67}= {res}    0.0000
{txt}{col 49}R-squared{col 67}= {res}    0.1110
{txt}{col 49}Adj R-squared{col 67}= {res}    0.1066
{txt}{col 49}Root MSE{col 67}= {res}    0.8984

{txt}{ralign 78:(Std. Err. adjusted for {res:187} clusters in hc_id)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}e_healthou~z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2}-.0025068{col 26}{space 2} .0273728{col 37}{space 1}   -0.09{col 46}{space 3}0.927{col 54}{space 4}-.0565079{col 67}{space 3} .0514943
{txt}b_healthou~z {c |}{col 14}{res}{space 2} .1301056{col 26}{space 2} .0158563{col 37}{space 1}    8.21{col 46}{space 3}0.000{col 54}{space 4} .0988243{col 67}{space 3}  .161387
{txt}b_healthou~d {c |}{col 14}{res}{space 2} .6767453{col 26}{space 2} .0268257{col 37}{space 1}   25.23{col 46}{space 3}0.000{col 54}{space 4} .6238235{col 67}{space 3}  .729667
{txt}{space 1}c_tfull_hc2 {c |}{col 14}{res}{space 2}-.0150939{col 26}{space 2} .0391048{col 37}{space 1}   -0.39{col 46}{space 3}0.700{col 54}{space 4}-.0922398{col 67}{space 3}  .062052
{txt}c_tfull_b_~l {c |}{col 14}{res}{space 2}-.0461058{col 26}{space 2} .0434625{col 37}{space 1}   -1.06{col 46}{space 3}0.290{col 54}{space 4}-.1318486{col 67}{space 3} .0396371
{txt}c_tfull_b_~s {c |}{col 14}{res}{space 2}-.0395781{col 26}{space 2} .0495328{col 37}{space 1}   -0.80{col 46}{space 3}0.425{col 54}{space 4}-.1372963{col 67}{space 3} .0581402
{txt}c_tfull_b_~d {c |}{col 14}{res}{space 2} .0312915{col 26}{space 2} .0564047{col 37}{space 1}    0.55{col 46}{space 3}0.580{col 54}{space 4}-.0799837{col 67}{space 3} .1425667
{txt}c_tfull_ed~r {c |}{col 14}{res}{space 2} .0095071{col 26}{space 2} .0036039{col 37}{space 1}    2.64{col 46}{space 3}0.009{col 54}{space 4} .0023975{col 67}{space 3} .0166168
{txt}c_tfull_b_~x {c |}{col 14}{res}{space 2} .0444258{col 26}{space 2} .0162695{col 37}{space 1}    2.73{col 46}{space 3}0.007{col 54}{space 4} .0123293{col 67}{space 3} .0765224
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} -.511236{col 26}{space 2} .0224249{col 37}{space 1}  -22.80{col 46}{space 3}0.000{col 54}{space 4}-.5554759{col 67}{space 3}-.4669962
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull = .127{p_end}

{txt}       F(  1,   186) ={res}   22.38
{txt}{col 13}Prob > F ={res}    0.0000

{p 0 7}{space 1}{text:( 1)}{space 1} treatfull = -.127{p_end}

{txt}       F(  1,   186) ={res}   20.68
{txt}{col 13}Prob > F ={res}    0.0000

{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}     4,930
{txt}{col 49}F({res}   9{txt},{res}    186{txt}){col 67}= {res}     77.06
{txt}{col 49}Prob > F{col 67}= {res}    0.0000
{txt}{col 49}R-squared{col 67}= {res}    0.1110
{txt}{col 49}Adj R-squared{col 67}= {res}    0.1066
{txt}{col 49}Root MSE{col 67}= {res}    0.8984

{txt}{ralign 78:(Std. Err. adjusted for {res:187} clusters in hc_id)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}e_healthou~z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2}-.0025068{col 26}{space 2} .0273728{col 37}{space 1}   -0.09{col 46}{space 3}0.927{col 54}{space 4}-.0565079{col 67}{space 3} .0514943
{txt}b_healthou~z {c |}{col 14}{res}{space 2} .1301056{col 26}{space 2} .0158563{col 37}{space 1}    8.21{col 46}{space 3}0.000{col 54}{space 4} .0988243{col 67}{space 3}  .161387
{txt}b_healthou~d {c |}{col 14}{res}{space 2} .6767453{col 26}{space 2} .0268257{col 37}{space 1}   25.23{col 46}{space 3}0.000{col 54}{space 4} .6238235{col 67}{space 3}  .729667
{txt}{space 1}c_tfull_hc2 {c |}{col 14}{res}{space 2}-.0150939{col 26}{space 2} .0391048{col 37}{space 1}   -0.39{col 46}{space 3}0.700{col 54}{space 4}-.0922398{col 67}{space 3}  .062052
{txt}c_tfull_b_~l {c |}{col 14}{res}{space 2}-.0461058{col 26}{space 2} .0434625{col 37}{space 1}   -1.06{col 46}{space 3}0.290{col 54}{space 4}-.1318486{col 67}{space 3} .0396371
{txt}c_tfull_b_~s {c |}{col 14}{res}{space 2}-.0395781{col 26}{space 2} .0495328{col 37}{space 1}   -0.80{col 46}{space 3}0.425{col 54}{space 4}-.1372963{col 67}{space 3} .0581402
{txt}c_tfull_b_~d {c |}{col 14}{res}{space 2} .0312915{col 26}{space 2} .0564047{col 37}{space 1}    0.55{col 46}{space 3}0.580{col 54}{space 4}-.0799837{col 67}{space 3} .1425667
{txt}c_tfull_ed~r {c |}{col 14}{res}{space 2} .0095071{col 26}{space 2} .0036039{col 37}{space 1}    2.64{col 46}{space 3}0.009{col 54}{space 4} .0023975{col 67}{space 3} .0166168
{txt}c_tfull_b_~x {c |}{col 14}{res}{space 2} .0444258{col 26}{space 2} .0162695{col 37}{space 1}    2.73{col 46}{space 3}0.007{col 54}{space 4} .0123293{col 67}{space 3} .0765224
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} -.511236{col 26}{space 2} .0224249{col 37}{space 1}  -22.80{col 46}{space 3}0.000{col 54}{space 4}-.5554759{col 67}{space 3}-.4669962
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull = .128{p_end}

{txt}       F(  1,   186) ={res}   22.73
{txt}{col 13}Prob > F ={res}    0.0000

{p 0 7}{space 1}{text:( 1)}{space 1} treatfull = -.128{p_end}

{txt}       F(  1,   186) ={res}   21.02
{txt}{col 13}Prob > F ={res}    0.0000

{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}     4,930
{txt}{col 49}F({res}   9{txt},{res}    186{txt}){col 67}= {res}     77.06
{txt}{col 49}Prob > F{col 67}= {res}    0.0000
{txt}{col 49}R-squared{col 67}= {res}    0.1110
{txt}{col 49}Adj R-squared{col 67}= {res}    0.1066
{txt}{col 49}Root MSE{col 67}= {res}    0.8984

{txt}{ralign 78:(Std. Err. adjusted for {res:187} clusters in hc_id)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}e_healthou~z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2}-.0025068{col 26}{space 2} .0273728{col 37}{space 1}   -0.09{col 46}{space 3}0.927{col 54}{space 4}-.0565079{col 67}{space 3} .0514943
{txt}b_healthou~z {c |}{col 14}{res}{space 2} .1301056{col 26}{space 2} .0158563{col 37}{space 1}    8.21{col 46}{space 3}0.000{col 54}{space 4} .0988243{col 67}{space 3}  .161387
{txt}b_healthou~d {c |}{col 14}{res}{space 2} .6767453{col 26}{space 2} .0268257{col 37}{space 1}   25.23{col 46}{space 3}0.000{col 54}{space 4} .6238235{col 67}{space 3}  .729667
{txt}{space 1}c_tfull_hc2 {c |}{col 14}{res}{space 2}-.0150939{col 26}{space 2} .0391048{col 37}{space 1}   -0.39{col 46}{space 3}0.700{col 54}{space 4}-.0922398{col 67}{space 3}  .062052
{txt}c_tfull_b_~l {c |}{col 14}{res}{space 2}-.0461058{col 26}{space 2} .0434625{col 37}{space 1}   -1.06{col 46}{space 3}0.290{col 54}{space 4}-.1318486{col 67}{space 3} .0396371
{txt}c_tfull_b_~s {c |}{col 14}{res}{space 2}-.0395781{col 26}{space 2} .0495328{col 37}{space 1}   -0.80{col 46}{space 3}0.425{col 54}{space 4}-.1372963{col 67}{space 3} .0581402
{txt}c_tfull_b_~d {c |}{col 14}{res}{space 2} .0312915{col 26}{space 2} .0564047{col 37}{space 1}    0.55{col 46}{space 3}0.580{col 54}{space 4}-.0799837{col 67}{space 3} .1425667
{txt}c_tfull_ed~r {c |}{col 14}{res}{space 2} .0095071{col 26}{space 2} .0036039{col 37}{space 1}    2.64{col 46}{space 3}0.009{col 54}{space 4} .0023975{col 67}{space 3} .0166168
{txt}c_tfull_b_~x {c |}{col 14}{res}{space 2} .0444258{col 26}{space 2} .0162695{col 37}{space 1}    2.73{col 46}{space 3}0.007{col 54}{space 4} .0123293{col 67}{space 3} .0765224
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} -.511236{col 26}{space 2} .0224249{col 37}{space 1}  -22.80{col 46}{space 3}0.000{col 54}{space 4}-.5554759{col 67}{space 3}-.4669962
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull = .129{p_end}

{txt}       F(  1,   186) ={res}   23.08
{txt}{col 13}Prob > F ={res}    0.0000

{p 0 7}{space 1}{text:( 1)}{space 1} treatfull = -.129{p_end}

{txt}       F(  1,   186) ={res}   21.35
{txt}{col 13}Prob > F ={res}    0.0000

{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}     4,930
{txt}{col 49}F({res}   9{txt},{res}    186{txt}){col 67}= {res}     77.06
{txt}{col 49}Prob > F{col 67}= {res}    0.0000
{txt}{col 49}R-squared{col 67}= {res}    0.1110
{txt}{col 49}Adj R-squared{col 67}= {res}    0.1066
{txt}{col 49}Root MSE{col 67}= {res}    0.8984

{txt}{ralign 78:(Std. Err. adjusted for {res:187} clusters in hc_id)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}e_healthou~z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2}-.0025068{col 26}{space 2} .0273728{col 37}{space 1}   -0.09{col 46}{space 3}0.927{col 54}{space 4}-.0565079{col 67}{space 3} .0514943
{txt}b_healthou~z {c |}{col 14}{res}{space 2} .1301056{col 26}{space 2} .0158563{col 37}{space 1}    8.21{col 46}{space 3}0.000{col 54}{space 4} .0988243{col 67}{space 3}  .161387
{txt}b_healthou~d {c |}{col 14}{res}{space 2} .6767453{col 26}{space 2} .0268257{col 37}{space 1}   25.23{col 46}{space 3}0.000{col 54}{space 4} .6238235{col 67}{space 3}  .729667
{txt}{space 1}c_tfull_hc2 {c |}{col 14}{res}{space 2}-.0150939{col 26}{space 2} .0391048{col 37}{space 1}   -0.39{col 46}{space 3}0.700{col 54}{space 4}-.0922398{col 67}{space 3}  .062052
{txt}c_tfull_b_~l {c |}{col 14}{res}{space 2}-.0461058{col 26}{space 2} .0434625{col 37}{space 1}   -1.06{col 46}{space 3}0.290{col 54}{space 4}-.1318486{col 67}{space 3} .0396371
{txt}c_tfull_b_~s {c |}{col 14}{res}{space 2}-.0395781{col 26}{space 2} .0495328{col 37}{space 1}   -0.80{col 46}{space 3}0.425{col 54}{space 4}-.1372963{col 67}{space 3} .0581402
{txt}c_tfull_b_~d {c |}{col 14}{res}{space 2} .0312915{col 26}{space 2} .0564047{col 37}{space 1}    0.55{col 46}{space 3}0.580{col 54}{space 4}-.0799837{col 67}{space 3} .1425667
{txt}c_tfull_ed~r {c |}{col 14}{res}{space 2} .0095071{col 26}{space 2} .0036039{col 37}{space 1}    2.64{col 46}{space 3}0.009{col 54}{space 4} .0023975{col 67}{space 3} .0166168
{txt}c_tfull_b_~x {c |}{col 14}{res}{space 2} .0444258{col 26}{space 2} .0162695{col 37}{space 1}    2.73{col 46}{space 3}0.007{col 54}{space 4} .0123293{col 67}{space 3} .0765224
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} -.511236{col 26}{space 2} .0224249{col 37}{space 1}  -22.80{col 46}{space 3}0.000{col 54}{space 4}-.5554759{col 67}{space 3}-.4669962
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull = .13{p_end}

{txt}       F(  1,   186) ={res}   23.43
{txt}{col 13}Prob > F ={res}    0.0000

{p 0 7}{space 1}{text:( 1)}{space 1} treatfull = -.13{p_end}

{txt}       F(  1,   186) ={res}   21.69
{txt}{col 13}Prob > F ={res}    0.0000

{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}     4,930
{txt}{col 49}F({res}   9{txt},{res}    186{txt}){col 67}= {res}     77.06
{txt}{col 49}Prob > F{col 67}= {res}    0.0000
{txt}{col 49}R-squared{col 67}= {res}    0.1110
{txt}{col 49}Adj R-squared{col 67}= {res}    0.1066
{txt}{col 49}Root MSE{col 67}= {res}    0.8984

{txt}{ralign 78:(Std. Err. adjusted for {res:187} clusters in hc_id)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}e_healthou~z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2}-.0025068{col 26}{space 2} .0273728{col 37}{space 1}   -0.09{col 46}{space 3}0.927{col 54}{space 4}-.0565079{col 67}{space 3} .0514943
{txt}b_healthou~z {c |}{col 14}{res}{space 2} .1301056{col 26}{space 2} .0158563{col 37}{space 1}    8.21{col 46}{space 3}0.000{col 54}{space 4} .0988243{col 67}{space 3}  .161387
{txt}b_healthou~d {c |}{col 14}{res}{space 2} .6767453{col 26}{space 2} .0268257{col 37}{space 1}   25.23{col 46}{space 3}0.000{col 54}{space 4} .6238235{col 67}{space 3}  .729667
{txt}{space 1}c_tfull_hc2 {c |}{col 14}{res}{space 2}-.0150939{col 26}{space 2} .0391048{col 37}{space 1}   -0.39{col 46}{space 3}0.700{col 54}{space 4}-.0922398{col 67}{space 3}  .062052
{txt}c_tfull_b_~l {c |}{col 14}{res}{space 2}-.0461058{col 26}{space 2} .0434625{col 37}{space 1}   -1.06{col 46}{space 3}0.290{col 54}{space 4}-.1318486{col 67}{space 3} .0396371
{txt}c_tfull_b_~s {c |}{col 14}{res}{space 2}-.0395781{col 26}{space 2} .0495328{col 37}{space 1}   -0.80{col 46}{space 3}0.425{col 54}{space 4}-.1372963{col 67}{space 3} .0581402
{txt}c_tfull_b_~d {c |}{col 14}{res}{space 2} .0312915{col 26}{space 2} .0564047{col 37}{space 1}    0.55{col 46}{space 3}0.580{col 54}{space 4}-.0799837{col 67}{space 3} .1425667
{txt}c_tfull_ed~r {c |}{col 14}{res}{space 2} .0095071{col 26}{space 2} .0036039{col 37}{space 1}    2.64{col 46}{space 3}0.009{col 54}{space 4} .0023975{col 67}{space 3} .0166168
{txt}c_tfull_b_~x {c |}{col 14}{res}{space 2} .0444258{col 26}{space 2} .0162695{col 37}{space 1}    2.73{col 46}{space 3}0.007{col 54}{space 4} .0123293{col 67}{space 3} .0765224
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} -.511236{col 26}{space 2} .0224249{col 37}{space 1}  -22.80{col 46}{space 3}0.000{col 54}{space 4}-.5554759{col 67}{space 3}-.4669962
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull = .131{p_end}

{txt}       F(  1,   186) ={res}   23.79
{txt}{col 13}Prob > F ={res}    0.0000

{p 0 7}{space 1}{text:( 1)}{space 1} treatfull = -.131{p_end}

{txt}       F(  1,   186) ={res}   22.04
{txt}{col 13}Prob > F ={res}    0.0000

{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}     4,930
{txt}{col 49}F({res}   9{txt},{res}    186{txt}){col 67}= {res}     77.06
{txt}{col 49}Prob > F{col 67}= {res}    0.0000
{txt}{col 49}R-squared{col 67}= {res}    0.1110
{txt}{col 49}Adj R-squared{col 67}= {res}    0.1066
{txt}{col 49}Root MSE{col 67}= {res}    0.8984

{txt}{ralign 78:(Std. Err. adjusted for {res:187} clusters in hc_id)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}e_healthou~z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2}-.0025068{col 26}{space 2} .0273728{col 37}{space 1}   -0.09{col 46}{space 3}0.927{col 54}{space 4}-.0565079{col 67}{space 3} .0514943
{txt}b_healthou~z {c |}{col 14}{res}{space 2} .1301056{col 26}{space 2} .0158563{col 37}{space 1}    8.21{col 46}{space 3}0.000{col 54}{space 4} .0988243{col 67}{space 3}  .161387
{txt}b_healthou~d {c |}{col 14}{res}{space 2} .6767453{col 26}{space 2} .0268257{col 37}{space 1}   25.23{col 46}{space 3}0.000{col 54}{space 4} .6238235{col 67}{space 3}  .729667
{txt}{space 1}c_tfull_hc2 {c |}{col 14}{res}{space 2}-.0150939{col 26}{space 2} .0391048{col 37}{space 1}   -0.39{col 46}{space 3}0.700{col 54}{space 4}-.0922398{col 67}{space 3}  .062052
{txt}c_tfull_b_~l {c |}{col 14}{res}{space 2}-.0461058{col 26}{space 2} .0434625{col 37}{space 1}   -1.06{col 46}{space 3}0.290{col 54}{space 4}-.1318486{col 67}{space 3} .0396371
{txt}c_tfull_b_~s {c |}{col 14}{res}{space 2}-.0395781{col 26}{space 2} .0495328{col 37}{space 1}   -0.80{col 46}{space 3}0.425{col 54}{space 4}-.1372963{col 67}{space 3} .0581402
{txt}c_tfull_b_~d {c |}{col 14}{res}{space 2} .0312915{col 26}{space 2} .0564047{col 37}{space 1}    0.55{col 46}{space 3}0.580{col 54}{space 4}-.0799837{col 67}{space 3} .1425667
{txt}c_tfull_ed~r {c |}{col 14}{res}{space 2} .0095071{col 26}{space 2} .0036039{col 37}{space 1}    2.64{col 46}{space 3}0.009{col 54}{space 4} .0023975{col 67}{space 3} .0166168
{txt}c_tfull_b_~x {c |}{col 14}{res}{space 2} .0444258{col 26}{space 2} .0162695{col 37}{space 1}    2.73{col 46}{space 3}0.007{col 54}{space 4} .0123293{col 67}{space 3} .0765224
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} -.511236{col 26}{space 2} .0224249{col 37}{space 1}  -22.80{col 46}{space 3}0.000{col 54}{space 4}-.5554759{col 67}{space 3}-.4669962
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull = .132{p_end}

{txt}       F(  1,   186) ={res}   24.15
{txt}{col 13}Prob > F ={res}    0.0000

{p 0 7}{space 1}{text:( 1)}{space 1} treatfull = -.132{p_end}

{txt}       F(  1,   186) ={res}   22.38
{txt}{col 13}Prob > F ={res}    0.0000

{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}     4,930
{txt}{col 49}F({res}   9{txt},{res}    186{txt}){col 67}= {res}     77.06
{txt}{col 49}Prob > F{col 67}= {res}    0.0000
{txt}{col 49}R-squared{col 67}= {res}    0.1110
{txt}{col 49}Adj R-squared{col 67}= {res}    0.1066
{txt}{col 49}Root MSE{col 67}= {res}    0.8984

{txt}{ralign 78:(Std. Err. adjusted for {res:187} clusters in hc_id)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}e_healthou~z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2}-.0025068{col 26}{space 2} .0273728{col 37}{space 1}   -0.09{col 46}{space 3}0.927{col 54}{space 4}-.0565079{col 67}{space 3} .0514943
{txt}b_healthou~z {c |}{col 14}{res}{space 2} .1301056{col 26}{space 2} .0158563{col 37}{space 1}    8.21{col 46}{space 3}0.000{col 54}{space 4} .0988243{col 67}{space 3}  .161387
{txt}b_healthou~d {c |}{col 14}{res}{space 2} .6767453{col 26}{space 2} .0268257{col 37}{space 1}   25.23{col 46}{space 3}0.000{col 54}{space 4} .6238235{col 67}{space 3}  .729667
{txt}{space 1}c_tfull_hc2 {c |}{col 14}{res}{space 2}-.0150939{col 26}{space 2} .0391048{col 37}{space 1}   -0.39{col 46}{space 3}0.700{col 54}{space 4}-.0922398{col 67}{space 3}  .062052
{txt}c_tfull_b_~l {c |}{col 14}{res}{space 2}-.0461058{col 26}{space 2} .0434625{col 37}{space 1}   -1.06{col 46}{space 3}0.290{col 54}{space 4}-.1318486{col 67}{space 3} .0396371
{txt}c_tfull_b_~s {c |}{col 14}{res}{space 2}-.0395781{col 26}{space 2} .0495328{col 37}{space 1}   -0.80{col 46}{space 3}0.425{col 54}{space 4}-.1372963{col 67}{space 3} .0581402
{txt}c_tfull_b_~d {c |}{col 14}{res}{space 2} .0312915{col 26}{space 2} .0564047{col 37}{space 1}    0.55{col 46}{space 3}0.580{col 54}{space 4}-.0799837{col 67}{space 3} .1425667
{txt}c_tfull_ed~r {c |}{col 14}{res}{space 2} .0095071{col 26}{space 2} .0036039{col 37}{space 1}    2.64{col 46}{space 3}0.009{col 54}{space 4} .0023975{col 67}{space 3} .0166168
{txt}c_tfull_b_~x {c |}{col 14}{res}{space 2} .0444258{col 26}{space 2} .0162695{col 37}{space 1}    2.73{col 46}{space 3}0.007{col 54}{space 4} .0123293{col 67}{space 3} .0765224
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} -.511236{col 26}{space 2} .0224249{col 37}{space 1}  -22.80{col 46}{space 3}0.000{col 54}{space 4}-.5554759{col 67}{space 3}-.4669962
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull = .133{p_end}

{txt}       F(  1,   186) ={res}   24.51
{txt}{col 13}Prob > F ={res}    0.0000

{p 0 7}{space 1}{text:( 1)}{space 1} treatfull = -.133{p_end}

{txt}       F(  1,   186) ={res}   22.73
{txt}{col 13}Prob > F ={res}    0.0000

{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}     4,930
{txt}{col 49}F({res}   9{txt},{res}    186{txt}){col 67}= {res}     77.06
{txt}{col 49}Prob > F{col 67}= {res}    0.0000
{txt}{col 49}R-squared{col 67}= {res}    0.1110
{txt}{col 49}Adj R-squared{col 67}= {res}    0.1066
{txt}{col 49}Root MSE{col 67}= {res}    0.8984

{txt}{ralign 78:(Std. Err. adjusted for {res:187} clusters in hc_id)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}e_healthou~z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2}-.0025068{col 26}{space 2} .0273728{col 37}{space 1}   -0.09{col 46}{space 3}0.927{col 54}{space 4}-.0565079{col 67}{space 3} .0514943
{txt}b_healthou~z {c |}{col 14}{res}{space 2} .1301056{col 26}{space 2} .0158563{col 37}{space 1}    8.21{col 46}{space 3}0.000{col 54}{space 4} .0988243{col 67}{space 3}  .161387
{txt}b_healthou~d {c |}{col 14}{res}{space 2} .6767453{col 26}{space 2} .0268257{col 37}{space 1}   25.23{col 46}{space 3}0.000{col 54}{space 4} .6238235{col 67}{space 3}  .729667
{txt}{space 1}c_tfull_hc2 {c |}{col 14}{res}{space 2}-.0150939{col 26}{space 2} .0391048{col 37}{space 1}   -0.39{col 46}{space 3}0.700{col 54}{space 4}-.0922398{col 67}{space 3}  .062052
{txt}c_tfull_b_~l {c |}{col 14}{res}{space 2}-.0461058{col 26}{space 2} .0434625{col 37}{space 1}   -1.06{col 46}{space 3}0.290{col 54}{space 4}-.1318486{col 67}{space 3} .0396371
{txt}c_tfull_b_~s {c |}{col 14}{res}{space 2}-.0395781{col 26}{space 2} .0495328{col 37}{space 1}   -0.80{col 46}{space 3}0.425{col 54}{space 4}-.1372963{col 67}{space 3} .0581402
{txt}c_tfull_b_~d {c |}{col 14}{res}{space 2} .0312915{col 26}{space 2} .0564047{col 37}{space 1}    0.55{col 46}{space 3}0.580{col 54}{space 4}-.0799837{col 67}{space 3} .1425667
{txt}c_tfull_ed~r {c |}{col 14}{res}{space 2} .0095071{col 26}{space 2} .0036039{col 37}{space 1}    2.64{col 46}{space 3}0.009{col 54}{space 4} .0023975{col 67}{space 3} .0166168
{txt}c_tfull_b_~x {c |}{col 14}{res}{space 2} .0444258{col 26}{space 2} .0162695{col 37}{space 1}    2.73{col 46}{space 3}0.007{col 54}{space 4} .0123293{col 67}{space 3} .0765224
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} -.511236{col 26}{space 2} .0224249{col 37}{space 1}  -22.80{col 46}{space 3}0.000{col 54}{space 4}-.5554759{col 67}{space 3}-.4669962
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull = .134{p_end}

{txt}       F(  1,   186) ={res}   24.87
{txt}{col 13}Prob > F ={res}    0.0000

{p 0 7}{space 1}{text:( 1)}{space 1} treatfull = -.134{p_end}

{txt}       F(  1,   186) ={res}   23.08
{txt}{col 13}Prob > F ={res}    0.0000

{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}     4,930
{txt}{col 49}F({res}   9{txt},{res}    186{txt}){col 67}= {res}     77.06
{txt}{col 49}Prob > F{col 67}= {res}    0.0000
{txt}{col 49}R-squared{col 67}= {res}    0.1110
{txt}{col 49}Adj R-squared{col 67}= {res}    0.1066
{txt}{col 49}Root MSE{col 67}= {res}    0.8984

{txt}{ralign 78:(Std. Err. adjusted for {res:187} clusters in hc_id)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}e_healthou~z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2}-.0025068{col 26}{space 2} .0273728{col 37}{space 1}   -0.09{col 46}{space 3}0.927{col 54}{space 4}-.0565079{col 67}{space 3} .0514943
{txt}b_healthou~z {c |}{col 14}{res}{space 2} .1301056{col 26}{space 2} .0158563{col 37}{space 1}    8.21{col 46}{space 3}0.000{col 54}{space 4} .0988243{col 67}{space 3}  .161387
{txt}b_healthou~d {c |}{col 14}{res}{space 2} .6767453{col 26}{space 2} .0268257{col 37}{space 1}   25.23{col 46}{space 3}0.000{col 54}{space 4} .6238235{col 67}{space 3}  .729667
{txt}{space 1}c_tfull_hc2 {c |}{col 14}{res}{space 2}-.0150939{col 26}{space 2} .0391048{col 37}{space 1}   -0.39{col 46}{space 3}0.700{col 54}{space 4}-.0922398{col 67}{space 3}  .062052
{txt}c_tfull_b_~l {c |}{col 14}{res}{space 2}-.0461058{col 26}{space 2} .0434625{col 37}{space 1}   -1.06{col 46}{space 3}0.290{col 54}{space 4}-.1318486{col 67}{space 3} .0396371
{txt}c_tfull_b_~s {c |}{col 14}{res}{space 2}-.0395781{col 26}{space 2} .0495328{col 37}{space 1}   -0.80{col 46}{space 3}0.425{col 54}{space 4}-.1372963{col 67}{space 3} .0581402
{txt}c_tfull_b_~d {c |}{col 14}{res}{space 2} .0312915{col 26}{space 2} .0564047{col 37}{space 1}    0.55{col 46}{space 3}0.580{col 54}{space 4}-.0799837{col 67}{space 3} .1425667
{txt}c_tfull_ed~r {c |}{col 14}{res}{space 2} .0095071{col 26}{space 2} .0036039{col 37}{space 1}    2.64{col 46}{space 3}0.009{col 54}{space 4} .0023975{col 67}{space 3} .0166168
{txt}c_tfull_b_~x {c |}{col 14}{res}{space 2} .0444258{col 26}{space 2} .0162695{col 37}{space 1}    2.73{col 46}{space 3}0.007{col 54}{space 4} .0123293{col 67}{space 3} .0765224
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} -.511236{col 26}{space 2} .0224249{col 37}{space 1}  -22.80{col 46}{space 3}0.000{col 54}{space 4}-.5554759{col 67}{space 3}-.4669962
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull = .135{p_end}

{txt}       F(  1,   186) ={res}   25.24
{txt}{col 13}Prob > F ={res}    0.0000

{p 0 7}{space 1}{text:( 1)}{space 1} treatfull = -.135{p_end}

{txt}       F(  1,   186) ={res}   23.43
{txt}{col 13}Prob > F ={res}    0.0000

{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}     4,930
{txt}{col 49}F({res}   9{txt},{res}    186{txt}){col 67}= {res}     77.06
{txt}{col 49}Prob > F{col 67}= {res}    0.0000
{txt}{col 49}R-squared{col 67}= {res}    0.1110
{txt}{col 49}Adj R-squared{col 67}= {res}    0.1066
{txt}{col 49}Root MSE{col 67}= {res}    0.8984

{txt}{ralign 78:(Std. Err. adjusted for {res:187} clusters in hc_id)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}e_healthou~z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2}-.0025068{col 26}{space 2} .0273728{col 37}{space 1}   -0.09{col 46}{space 3}0.927{col 54}{space 4}-.0565079{col 67}{space 3} .0514943
{txt}b_healthou~z {c |}{col 14}{res}{space 2} .1301056{col 26}{space 2} .0158563{col 37}{space 1}    8.21{col 46}{space 3}0.000{col 54}{space 4} .0988243{col 67}{space 3}  .161387
{txt}b_healthou~d {c |}{col 14}{res}{space 2} .6767453{col 26}{space 2} .0268257{col 37}{space 1}   25.23{col 46}{space 3}0.000{col 54}{space 4} .6238235{col 67}{space 3}  .729667
{txt}{space 1}c_tfull_hc2 {c |}{col 14}{res}{space 2}-.0150939{col 26}{space 2} .0391048{col 37}{space 1}   -0.39{col 46}{space 3}0.700{col 54}{space 4}-.0922398{col 67}{space 3}  .062052
{txt}c_tfull_b_~l {c |}{col 14}{res}{space 2}-.0461058{col 26}{space 2} .0434625{col 37}{space 1}   -1.06{col 46}{space 3}0.290{col 54}{space 4}-.1318486{col 67}{space 3} .0396371
{txt}c_tfull_b_~s {c |}{col 14}{res}{space 2}-.0395781{col 26}{space 2} .0495328{col 37}{space 1}   -0.80{col 46}{space 3}0.425{col 54}{space 4}-.1372963{col 67}{space 3} .0581402
{txt}c_tfull_b_~d {c |}{col 14}{res}{space 2} .0312915{col 26}{space 2} .0564047{col 37}{space 1}    0.55{col 46}{space 3}0.580{col 54}{space 4}-.0799837{col 67}{space 3} .1425667
{txt}c_tfull_ed~r {c |}{col 14}{res}{space 2} .0095071{col 26}{space 2} .0036039{col 37}{space 1}    2.64{col 46}{space 3}0.009{col 54}{space 4} .0023975{col 67}{space 3} .0166168
{txt}c_tfull_b_~x {c |}{col 14}{res}{space 2} .0444258{col 26}{space 2} .0162695{col 37}{space 1}    2.73{col 46}{space 3}0.007{col 54}{space 4} .0123293{col 67}{space 3} .0765224
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} -.511236{col 26}{space 2} .0224249{col 37}{space 1}  -22.80{col 46}{space 3}0.000{col 54}{space 4}-.5554759{col 67}{space 3}-.4669962
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull = .136{p_end}

{txt}       F(  1,   186) ={res}   25.60
{txt}{col 13}Prob > F ={res}    0.0000

{p 0 7}{space 1}{text:( 1)}{space 1} treatfull = -.136{p_end}

{txt}       F(  1,   186) ={res}   23.78
{txt}{col 13}Prob > F ={res}    0.0000

{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}     4,930
{txt}{col 49}F({res}   9{txt},{res}    186{txt}){col 67}= {res}     77.06
{txt}{col 49}Prob > F{col 67}= {res}    0.0000
{txt}{col 49}R-squared{col 67}= {res}    0.1110
{txt}{col 49}Adj R-squared{col 67}= {res}    0.1066
{txt}{col 49}Root MSE{col 67}= {res}    0.8984

{txt}{ralign 78:(Std. Err. adjusted for {res:187} clusters in hc_id)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}e_healthou~z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2}-.0025068{col 26}{space 2} .0273728{col 37}{space 1}   -0.09{col 46}{space 3}0.927{col 54}{space 4}-.0565079{col 67}{space 3} .0514943
{txt}b_healthou~z {c |}{col 14}{res}{space 2} .1301056{col 26}{space 2} .0158563{col 37}{space 1}    8.21{col 46}{space 3}0.000{col 54}{space 4} .0988243{col 67}{space 3}  .161387
{txt}b_healthou~d {c |}{col 14}{res}{space 2} .6767453{col 26}{space 2} .0268257{col 37}{space 1}   25.23{col 46}{space 3}0.000{col 54}{space 4} .6238235{col 67}{space 3}  .729667
{txt}{space 1}c_tfull_hc2 {c |}{col 14}{res}{space 2}-.0150939{col 26}{space 2} .0391048{col 37}{space 1}   -0.39{col 46}{space 3}0.700{col 54}{space 4}-.0922398{col 67}{space 3}  .062052
{txt}c_tfull_b_~l {c |}{col 14}{res}{space 2}-.0461058{col 26}{space 2} .0434625{col 37}{space 1}   -1.06{col 46}{space 3}0.290{col 54}{space 4}-.1318486{col 67}{space 3} .0396371
{txt}c_tfull_b_~s {c |}{col 14}{res}{space 2}-.0395781{col 26}{space 2} .0495328{col 37}{space 1}   -0.80{col 46}{space 3}0.425{col 54}{space 4}-.1372963{col 67}{space 3} .0581402
{txt}c_tfull_b_~d {c |}{col 14}{res}{space 2} .0312915{col 26}{space 2} .0564047{col 37}{space 1}    0.55{col 46}{space 3}0.580{col 54}{space 4}-.0799837{col 67}{space 3} .1425667
{txt}c_tfull_ed~r {c |}{col 14}{res}{space 2} .0095071{col 26}{space 2} .0036039{col 37}{space 1}    2.64{col 46}{space 3}0.009{col 54}{space 4} .0023975{col 67}{space 3} .0166168
{txt}c_tfull_b_~x {c |}{col 14}{res}{space 2} .0444258{col 26}{space 2} .0162695{col 37}{space 1}    2.73{col 46}{space 3}0.007{col 54}{space 4} .0123293{col 67}{space 3} .0765224
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} -.511236{col 26}{space 2} .0224249{col 37}{space 1}  -22.80{col 46}{space 3}0.000{col 54}{space 4}-.5554759{col 67}{space 3}-.4669962
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull = .137{p_end}

{txt}       F(  1,   186) ={res}   25.97
{txt}{col 13}Prob > F ={res}    0.0000

{p 0 7}{space 1}{text:( 1)}{space 1} treatfull = -.137{p_end}

{txt}       F(  1,   186) ={res}   24.14
{txt}{col 13}Prob > F ={res}    0.0000

{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}     4,930
{txt}{col 49}F({res}   9{txt},{res}    186{txt}){col 67}= {res}     77.06
{txt}{col 49}Prob > F{col 67}= {res}    0.0000
{txt}{col 49}R-squared{col 67}= {res}    0.1110
{txt}{col 49}Adj R-squared{col 67}= {res}    0.1066
{txt}{col 49}Root MSE{col 67}= {res}    0.8984

{txt}{ralign 78:(Std. Err. adjusted for {res:187} clusters in hc_id)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}e_healthou~z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2}-.0025068{col 26}{space 2} .0273728{col 37}{space 1}   -0.09{col 46}{space 3}0.927{col 54}{space 4}-.0565079{col 67}{space 3} .0514943
{txt}b_healthou~z {c |}{col 14}{res}{space 2} .1301056{col 26}{space 2} .0158563{col 37}{space 1}    8.21{col 46}{space 3}0.000{col 54}{space 4} .0988243{col 67}{space 3}  .161387
{txt}b_healthou~d {c |}{col 14}{res}{space 2} .6767453{col 26}{space 2} .0268257{col 37}{space 1}   25.23{col 46}{space 3}0.000{col 54}{space 4} .6238235{col 67}{space 3}  .729667
{txt}{space 1}c_tfull_hc2 {c |}{col 14}{res}{space 2}-.0150939{col 26}{space 2} .0391048{col 37}{space 1}   -0.39{col 46}{space 3}0.700{col 54}{space 4}-.0922398{col 67}{space 3}  .062052
{txt}c_tfull_b_~l {c |}{col 14}{res}{space 2}-.0461058{col 26}{space 2} .0434625{col 37}{space 1}   -1.06{col 46}{space 3}0.290{col 54}{space 4}-.1318486{col 67}{space 3} .0396371
{txt}c_tfull_b_~s {c |}{col 14}{res}{space 2}-.0395781{col 26}{space 2} .0495328{col 37}{space 1}   -0.80{col 46}{space 3}0.425{col 54}{space 4}-.1372963{col 67}{space 3} .0581402
{txt}c_tfull_b_~d {c |}{col 14}{res}{space 2} .0312915{col 26}{space 2} .0564047{col 37}{space 1}    0.55{col 46}{space 3}0.580{col 54}{space 4}-.0799837{col 67}{space 3} .1425667
{txt}c_tfull_ed~r {c |}{col 14}{res}{space 2} .0095071{col 26}{space 2} .0036039{col 37}{space 1}    2.64{col 46}{space 3}0.009{col 54}{space 4} .0023975{col 67}{space 3} .0166168
{txt}c_tfull_b_~x {c |}{col 14}{res}{space 2} .0444258{col 26}{space 2} .0162695{col 37}{space 1}    2.73{col 46}{space 3}0.007{col 54}{space 4} .0123293{col 67}{space 3} .0765224
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} -.511236{col 26}{space 2} .0224249{col 37}{space 1}  -22.80{col 46}{space 3}0.000{col 54}{space 4}-.5554759{col 67}{space 3}-.4669962
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull = .138{p_end}

{txt}       F(  1,   186) ={res}   26.35
{txt}{col 13}Prob > F ={res}    0.0000

{p 0 7}{space 1}{text:( 1)}{space 1} treatfull = -.138{p_end}

{txt}       F(  1,   186) ={res}   24.50
{txt}{col 13}Prob > F ={res}    0.0000

{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}     4,930
{txt}{col 49}F({res}   9{txt},{res}    186{txt}){col 67}= {res}     77.06
{txt}{col 49}Prob > F{col 67}= {res}    0.0000
{txt}{col 49}R-squared{col 67}= {res}    0.1110
{txt}{col 49}Adj R-squared{col 67}= {res}    0.1066
{txt}{col 49}Root MSE{col 67}= {res}    0.8984

{txt}{ralign 78:(Std. Err. adjusted for {res:187} clusters in hc_id)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}e_healthou~z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2}-.0025068{col 26}{space 2} .0273728{col 37}{space 1}   -0.09{col 46}{space 3}0.927{col 54}{space 4}-.0565079{col 67}{space 3} .0514943
{txt}b_healthou~z {c |}{col 14}{res}{space 2} .1301056{col 26}{space 2} .0158563{col 37}{space 1}    8.21{col 46}{space 3}0.000{col 54}{space 4} .0988243{col 67}{space 3}  .161387
{txt}b_healthou~d {c |}{col 14}{res}{space 2} .6767453{col 26}{space 2} .0268257{col 37}{space 1}   25.23{col 46}{space 3}0.000{col 54}{space 4} .6238235{col 67}{space 3}  .729667
{txt}{space 1}c_tfull_hc2 {c |}{col 14}{res}{space 2}-.0150939{col 26}{space 2} .0391048{col 37}{space 1}   -0.39{col 46}{space 3}0.700{col 54}{space 4}-.0922398{col 67}{space 3}  .062052
{txt}c_tfull_b_~l {c |}{col 14}{res}{space 2}-.0461058{col 26}{space 2} .0434625{col 37}{space 1}   -1.06{col 46}{space 3}0.290{col 54}{space 4}-.1318486{col 67}{space 3} .0396371
{txt}c_tfull_b_~s {c |}{col 14}{res}{space 2}-.0395781{col 26}{space 2} .0495328{col 37}{space 1}   -0.80{col 46}{space 3}0.425{col 54}{space 4}-.1372963{col 67}{space 3} .0581402
{txt}c_tfull_b_~d {c |}{col 14}{res}{space 2} .0312915{col 26}{space 2} .0564047{col 37}{space 1}    0.55{col 46}{space 3}0.580{col 54}{space 4}-.0799837{col 67}{space 3} .1425667
{txt}c_tfull_ed~r {c |}{col 14}{res}{space 2} .0095071{col 26}{space 2} .0036039{col 37}{space 1}    2.64{col 46}{space 3}0.009{col 54}{space 4} .0023975{col 67}{space 3} .0166168
{txt}c_tfull_b_~x {c |}{col 14}{res}{space 2} .0444258{col 26}{space 2} .0162695{col 37}{space 1}    2.73{col 46}{space 3}0.007{col 54}{space 4} .0123293{col 67}{space 3} .0765224
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} -.511236{col 26}{space 2} .0224249{col 37}{space 1}  -22.80{col 46}{space 3}0.000{col 54}{space 4}-.5554759{col 67}{space 3}-.4669962
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull = .139{p_end}

{txt}       F(  1,   186) ={res}   26.72
{txt}{col 13}Prob > F ={res}    0.0000

{p 0 7}{space 1}{text:( 1)}{space 1} treatfull = -.139{p_end}

{txt}       F(  1,   186) ={res}   24.86
{txt}{col 13}Prob > F ={res}    0.0000

{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}     4,930
{txt}{col 49}F({res}   9{txt},{res}    186{txt}){col 67}= {res}     77.06
{txt}{col 49}Prob > F{col 67}= {res}    0.0000
{txt}{col 49}R-squared{col 67}= {res}    0.1110
{txt}{col 49}Adj R-squared{col 67}= {res}    0.1066
{txt}{col 49}Root MSE{col 67}= {res}    0.8984

{txt}{ralign 78:(Std. Err. adjusted for {res:187} clusters in hc_id)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}e_healthou~z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2}-.0025068{col 26}{space 2} .0273728{col 37}{space 1}   -0.09{col 46}{space 3}0.927{col 54}{space 4}-.0565079{col 67}{space 3} .0514943
{txt}b_healthou~z {c |}{col 14}{res}{space 2} .1301056{col 26}{space 2} .0158563{col 37}{space 1}    8.21{col 46}{space 3}0.000{col 54}{space 4} .0988243{col 67}{space 3}  .161387
{txt}b_healthou~d {c |}{col 14}{res}{space 2} .6767453{col 26}{space 2} .0268257{col 37}{space 1}   25.23{col 46}{space 3}0.000{col 54}{space 4} .6238235{col 67}{space 3}  .729667
{txt}{space 1}c_tfull_hc2 {c |}{col 14}{res}{space 2}-.0150939{col 26}{space 2} .0391048{col 37}{space 1}   -0.39{col 46}{space 3}0.700{col 54}{space 4}-.0922398{col 67}{space 3}  .062052
{txt}c_tfull_b_~l {c |}{col 14}{res}{space 2}-.0461058{col 26}{space 2} .0434625{col 37}{space 1}   -1.06{col 46}{space 3}0.290{col 54}{space 4}-.1318486{col 67}{space 3} .0396371
{txt}c_tfull_b_~s {c |}{col 14}{res}{space 2}-.0395781{col 26}{space 2} .0495328{col 37}{space 1}   -0.80{col 46}{space 3}0.425{col 54}{space 4}-.1372963{col 67}{space 3} .0581402
{txt}c_tfull_b_~d {c |}{col 14}{res}{space 2} .0312915{col 26}{space 2} .0564047{col 37}{space 1}    0.55{col 46}{space 3}0.580{col 54}{space 4}-.0799837{col 67}{space 3} .1425667
{txt}c_tfull_ed~r {c |}{col 14}{res}{space 2} .0095071{col 26}{space 2} .0036039{col 37}{space 1}    2.64{col 46}{space 3}0.009{col 54}{space 4} .0023975{col 67}{space 3} .0166168
{txt}c_tfull_b_~x {c |}{col 14}{res}{space 2} .0444258{col 26}{space 2} .0162695{col 37}{space 1}    2.73{col 46}{space 3}0.007{col 54}{space 4} .0123293{col 67}{space 3} .0765224
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} -.511236{col 26}{space 2} .0224249{col 37}{space 1}  -22.80{col 46}{space 3}0.000{col 54}{space 4}-.5554759{col 67}{space 3}-.4669962
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull = .14{p_end}

{txt}       F(  1,   186) ={res}   27.10
{txt}{col 13}Prob > F ={res}    0.0000

{p 0 7}{space 1}{text:( 1)}{space 1} treatfull = -.14{p_end}

{txt}       F(  1,   186) ={res}   25.23
{txt}{col 13}Prob > F ={res}    0.0000

{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}     4,930
{txt}{col 49}F({res}   9{txt},{res}    186{txt}){col 67}= {res}     77.06
{txt}{col 49}Prob > F{col 67}= {res}    0.0000
{txt}{col 49}R-squared{col 67}= {res}    0.1110
{txt}{col 49}Adj R-squared{col 67}= {res}    0.1066
{txt}{col 49}Root MSE{col 67}= {res}    0.8984

{txt}{ralign 78:(Std. Err. adjusted for {res:187} clusters in hc_id)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}e_healthou~z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2}-.0025068{col 26}{space 2} .0273728{col 37}{space 1}   -0.09{col 46}{space 3}0.927{col 54}{space 4}-.0565079{col 67}{space 3} .0514943
{txt}b_healthou~z {c |}{col 14}{res}{space 2} .1301056{col 26}{space 2} .0158563{col 37}{space 1}    8.21{col 46}{space 3}0.000{col 54}{space 4} .0988243{col 67}{space 3}  .161387
{txt}b_healthou~d {c |}{col 14}{res}{space 2} .6767453{col 26}{space 2} .0268257{col 37}{space 1}   25.23{col 46}{space 3}0.000{col 54}{space 4} .6238235{col 67}{space 3}  .729667
{txt}{space 1}c_tfull_hc2 {c |}{col 14}{res}{space 2}-.0150939{col 26}{space 2} .0391048{col 37}{space 1}   -0.39{col 46}{space 3}0.700{col 54}{space 4}-.0922398{col 67}{space 3}  .062052
{txt}c_tfull_b_~l {c |}{col 14}{res}{space 2}-.0461058{col 26}{space 2} .0434625{col 37}{space 1}   -1.06{col 46}{space 3}0.290{col 54}{space 4}-.1318486{col 67}{space 3} .0396371
{txt}c_tfull_b_~s {c |}{col 14}{res}{space 2}-.0395781{col 26}{space 2} .0495328{col 37}{space 1}   -0.80{col 46}{space 3}0.425{col 54}{space 4}-.1372963{col 67}{space 3} .0581402
{txt}c_tfull_b_~d {c |}{col 14}{res}{space 2} .0312915{col 26}{space 2} .0564047{col 37}{space 1}    0.55{col 46}{space 3}0.580{col 54}{space 4}-.0799837{col 67}{space 3} .1425667
{txt}c_tfull_ed~r {c |}{col 14}{res}{space 2} .0095071{col 26}{space 2} .0036039{col 37}{space 1}    2.64{col 46}{space 3}0.009{col 54}{space 4} .0023975{col 67}{space 3} .0166168
{txt}c_tfull_b_~x {c |}{col 14}{res}{space 2} .0444258{col 26}{space 2} .0162695{col 37}{space 1}    2.73{col 46}{space 3}0.007{col 54}{space 4} .0123293{col 67}{space 3} .0765224
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} -.511236{col 26}{space 2} .0224249{col 37}{space 1}  -22.80{col 46}{space 3}0.000{col 54}{space 4}-.5554759{col 67}{space 3}-.4669962
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull = .141{p_end}

{txt}       F(  1,   186) ={res}   27.49
{txt}{col 13}Prob > F ={res}    0.0000

{p 0 7}{space 1}{text:( 1)}{space 1} treatfull = -.141{p_end}

{txt}       F(  1,   186) ={res}   25.60
{txt}{col 13}Prob > F ={res}    0.0000

{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}     4,930
{txt}{col 49}F({res}   9{txt},{res}    186{txt}){col 67}= {res}     77.06
{txt}{col 49}Prob > F{col 67}= {res}    0.0000
{txt}{col 49}R-squared{col 67}= {res}    0.1110
{txt}{col 49}Adj R-squared{col 67}= {res}    0.1066
{txt}{col 49}Root MSE{col 67}= {res}    0.8984

{txt}{ralign 78:(Std. Err. adjusted for {res:187} clusters in hc_id)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}e_healthou~z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2}-.0025068{col 26}{space 2} .0273728{col 37}{space 1}   -0.09{col 46}{space 3}0.927{col 54}{space 4}-.0565079{col 67}{space 3} .0514943
{txt}b_healthou~z {c |}{col 14}{res}{space 2} .1301056{col 26}{space 2} .0158563{col 37}{space 1}    8.21{col 46}{space 3}0.000{col 54}{space 4} .0988243{col 67}{space 3}  .161387
{txt}b_healthou~d {c |}{col 14}{res}{space 2} .6767453{col 26}{space 2} .0268257{col 37}{space 1}   25.23{col 46}{space 3}0.000{col 54}{space 4} .6238235{col 67}{space 3}  .729667
{txt}{space 1}c_tfull_hc2 {c |}{col 14}{res}{space 2}-.0150939{col 26}{space 2} .0391048{col 37}{space 1}   -0.39{col 46}{space 3}0.700{col 54}{space 4}-.0922398{col 67}{space 3}  .062052
{txt}c_tfull_b_~l {c |}{col 14}{res}{space 2}-.0461058{col 26}{space 2} .0434625{col 37}{space 1}   -1.06{col 46}{space 3}0.290{col 54}{space 4}-.1318486{col 67}{space 3} .0396371
{txt}c_tfull_b_~s {c |}{col 14}{res}{space 2}-.0395781{col 26}{space 2} .0495328{col 37}{space 1}   -0.80{col 46}{space 3}0.425{col 54}{space 4}-.1372963{col 67}{space 3} .0581402
{txt}c_tfull_b_~d {c |}{col 14}{res}{space 2} .0312915{col 26}{space 2} .0564047{col 37}{space 1}    0.55{col 46}{space 3}0.580{col 54}{space 4}-.0799837{col 67}{space 3} .1425667
{txt}c_tfull_ed~r {c |}{col 14}{res}{space 2} .0095071{col 26}{space 2} .0036039{col 37}{space 1}    2.64{col 46}{space 3}0.009{col 54}{space 4} .0023975{col 67}{space 3} .0166168
{txt}c_tfull_b_~x {c |}{col 14}{res}{space 2} .0444258{col 26}{space 2} .0162695{col 37}{space 1}    2.73{col 46}{space 3}0.007{col 54}{space 4} .0123293{col 67}{space 3} .0765224
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} -.511236{col 26}{space 2} .0224249{col 37}{space 1}  -22.80{col 46}{space 3}0.000{col 54}{space 4}-.5554759{col 67}{space 3}-.4669962
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull = .142{p_end}

{txt}       F(  1,   186) ={res}   27.87
{txt}{col 13}Prob > F ={res}    0.0000

{p 0 7}{space 1}{text:( 1)}{space 1} treatfull = -.142{p_end}

{txt}       F(  1,   186) ={res}   25.97
{txt}{col 13}Prob > F ={res}    0.0000

{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}     4,930
{txt}{col 49}F({res}   9{txt},{res}    186{txt}){col 67}= {res}     77.06
{txt}{col 49}Prob > F{col 67}= {res}    0.0000
{txt}{col 49}R-squared{col 67}= {res}    0.1110
{txt}{col 49}Adj R-squared{col 67}= {res}    0.1066
{txt}{col 49}Root MSE{col 67}= {res}    0.8984

{txt}{ralign 78:(Std. Err. adjusted for {res:187} clusters in hc_id)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}e_healthou~z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2}-.0025068{col 26}{space 2} .0273728{col 37}{space 1}   -0.09{col 46}{space 3}0.927{col 54}{space 4}-.0565079{col 67}{space 3} .0514943
{txt}b_healthou~z {c |}{col 14}{res}{space 2} .1301056{col 26}{space 2} .0158563{col 37}{space 1}    8.21{col 46}{space 3}0.000{col 54}{space 4} .0988243{col 67}{space 3}  .161387
{txt}b_healthou~d {c |}{col 14}{res}{space 2} .6767453{col 26}{space 2} .0268257{col 37}{space 1}   25.23{col 46}{space 3}0.000{col 54}{space 4} .6238235{col 67}{space 3}  .729667
{txt}{space 1}c_tfull_hc2 {c |}{col 14}{res}{space 2}-.0150939{col 26}{space 2} .0391048{col 37}{space 1}   -0.39{col 46}{space 3}0.700{col 54}{space 4}-.0922398{col 67}{space 3}  .062052
{txt}c_tfull_b_~l {c |}{col 14}{res}{space 2}-.0461058{col 26}{space 2} .0434625{col 37}{space 1}   -1.06{col 46}{space 3}0.290{col 54}{space 4}-.1318486{col 67}{space 3} .0396371
{txt}c_tfull_b_~s {c |}{col 14}{res}{space 2}-.0395781{col 26}{space 2} .0495328{col 37}{space 1}   -0.80{col 46}{space 3}0.425{col 54}{space 4}-.1372963{col 67}{space 3} .0581402
{txt}c_tfull_b_~d {c |}{col 14}{res}{space 2} .0312915{col 26}{space 2} .0564047{col 37}{space 1}    0.55{col 46}{space 3}0.580{col 54}{space 4}-.0799837{col 67}{space 3} .1425667
{txt}c_tfull_ed~r {c |}{col 14}{res}{space 2} .0095071{col 26}{space 2} .0036039{col 37}{space 1}    2.64{col 46}{space 3}0.009{col 54}{space 4} .0023975{col 67}{space 3} .0166168
{txt}c_tfull_b_~x {c |}{col 14}{res}{space 2} .0444258{col 26}{space 2} .0162695{col 37}{space 1}    2.73{col 46}{space 3}0.007{col 54}{space 4} .0123293{col 67}{space 3} .0765224
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} -.511236{col 26}{space 2} .0224249{col 37}{space 1}  -22.80{col 46}{space 3}0.000{col 54}{space 4}-.5554759{col 67}{space 3}-.4669962
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull = .143{p_end}

{txt}       F(  1,   186) ={res}   28.26
{txt}{col 13}Prob > F ={res}    0.0000

{p 0 7}{space 1}{text:( 1)}{space 1} treatfull = -.143{p_end}

{txt}       F(  1,   186) ={res}   26.34
{txt}{col 13}Prob > F ={res}    0.0000

{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}     4,930
{txt}{col 49}F({res}   9{txt},{res}    186{txt}){col 67}= {res}     77.06
{txt}{col 49}Prob > F{col 67}= {res}    0.0000
{txt}{col 49}R-squared{col 67}= {res}    0.1110
{txt}{col 49}Adj R-squared{col 67}= {res}    0.1066
{txt}{col 49}Root MSE{col 67}= {res}    0.8984

{txt}{ralign 78:(Std. Err. adjusted for {res:187} clusters in hc_id)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}e_healthou~z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2}-.0025068{col 26}{space 2} .0273728{col 37}{space 1}   -0.09{col 46}{space 3}0.927{col 54}{space 4}-.0565079{col 67}{space 3} .0514943
{txt}b_healthou~z {c |}{col 14}{res}{space 2} .1301056{col 26}{space 2} .0158563{col 37}{space 1}    8.21{col 46}{space 3}0.000{col 54}{space 4} .0988243{col 67}{space 3}  .161387
{txt}b_healthou~d {c |}{col 14}{res}{space 2} .6767453{col 26}{space 2} .0268257{col 37}{space 1}   25.23{col 46}{space 3}0.000{col 54}{space 4} .6238235{col 67}{space 3}  .729667
{txt}{space 1}c_tfull_hc2 {c |}{col 14}{res}{space 2}-.0150939{col 26}{space 2} .0391048{col 37}{space 1}   -0.39{col 46}{space 3}0.700{col 54}{space 4}-.0922398{col 67}{space 3}  .062052
{txt}c_tfull_b_~l {c |}{col 14}{res}{space 2}-.0461058{col 26}{space 2} .0434625{col 37}{space 1}   -1.06{col 46}{space 3}0.290{col 54}{space 4}-.1318486{col 67}{space 3} .0396371
{txt}c_tfull_b_~s {c |}{col 14}{res}{space 2}-.0395781{col 26}{space 2} .0495328{col 37}{space 1}   -0.80{col 46}{space 3}0.425{col 54}{space 4}-.1372963{col 67}{space 3} .0581402
{txt}c_tfull_b_~d {c |}{col 14}{res}{space 2} .0312915{col 26}{space 2} .0564047{col 37}{space 1}    0.55{col 46}{space 3}0.580{col 54}{space 4}-.0799837{col 67}{space 3} .1425667
{txt}c_tfull_ed~r {c |}{col 14}{res}{space 2} .0095071{col 26}{space 2} .0036039{col 37}{space 1}    2.64{col 46}{space 3}0.009{col 54}{space 4} .0023975{col 67}{space 3} .0166168
{txt}c_tfull_b_~x {c |}{col 14}{res}{space 2} .0444258{col 26}{space 2} .0162695{col 37}{space 1}    2.73{col 46}{space 3}0.007{col 54}{space 4} .0123293{col 67}{space 3} .0765224
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} -.511236{col 26}{space 2} .0224249{col 37}{space 1}  -22.80{col 46}{space 3}0.000{col 54}{space 4}-.5554759{col 67}{space 3}-.4669962
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull = .144{p_end}

{txt}       F(  1,   186) ={res}   28.65
{txt}{col 13}Prob > F ={res}    0.0000

{p 0 7}{space 1}{text:( 1)}{space 1} treatfull = -.144{p_end}

{txt}       F(  1,   186) ={res}   26.72
{txt}{col 13}Prob > F ={res}    0.0000

{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}     4,930
{txt}{col 49}F({res}   9{txt},{res}    186{txt}){col 67}= {res}     77.06
{txt}{col 49}Prob > F{col 67}= {res}    0.0000
{txt}{col 49}R-squared{col 67}= {res}    0.1110
{txt}{col 49}Adj R-squared{col 67}= {res}    0.1066
{txt}{col 49}Root MSE{col 67}= {res}    0.8984

{txt}{ralign 78:(Std. Err. adjusted for {res:187} clusters in hc_id)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}e_healthou~z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2}-.0025068{col 26}{space 2} .0273728{col 37}{space 1}   -0.09{col 46}{space 3}0.927{col 54}{space 4}-.0565079{col 67}{space 3} .0514943
{txt}b_healthou~z {c |}{col 14}{res}{space 2} .1301056{col 26}{space 2} .0158563{col 37}{space 1}    8.21{col 46}{space 3}0.000{col 54}{space 4} .0988243{col 67}{space 3}  .161387
{txt}b_healthou~d {c |}{col 14}{res}{space 2} .6767453{col 26}{space 2} .0268257{col 37}{space 1}   25.23{col 46}{space 3}0.000{col 54}{space 4} .6238235{col 67}{space 3}  .729667
{txt}{space 1}c_tfull_hc2 {c |}{col 14}{res}{space 2}-.0150939{col 26}{space 2} .0391048{col 37}{space 1}   -0.39{col 46}{space 3}0.700{col 54}{space 4}-.0922398{col 67}{space 3}  .062052
{txt}c_tfull_b_~l {c |}{col 14}{res}{space 2}-.0461058{col 26}{space 2} .0434625{col 37}{space 1}   -1.06{col 46}{space 3}0.290{col 54}{space 4}-.1318486{col 67}{space 3} .0396371
{txt}c_tfull_b_~s {c |}{col 14}{res}{space 2}-.0395781{col 26}{space 2} .0495328{col 37}{space 1}   -0.80{col 46}{space 3}0.425{col 54}{space 4}-.1372963{col 67}{space 3} .0581402
{txt}c_tfull_b_~d {c |}{col 14}{res}{space 2} .0312915{col 26}{space 2} .0564047{col 37}{space 1}    0.55{col 46}{space 3}0.580{col 54}{space 4}-.0799837{col 67}{space 3} .1425667
{txt}c_tfull_ed~r {c |}{col 14}{res}{space 2} .0095071{col 26}{space 2} .0036039{col 37}{space 1}    2.64{col 46}{space 3}0.009{col 54}{space 4} .0023975{col 67}{space 3} .0166168
{txt}c_tfull_b_~x {c |}{col 14}{res}{space 2} .0444258{col 26}{space 2} .0162695{col 37}{space 1}    2.73{col 46}{space 3}0.007{col 54}{space 4} .0123293{col 67}{space 3} .0765224
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} -.511236{col 26}{space 2} .0224249{col 37}{space 1}  -22.80{col 46}{space 3}0.000{col 54}{space 4}-.5554759{col 67}{space 3}-.4669962
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull = .145{p_end}

{txt}       F(  1,   186) ={res}   29.04
{txt}{col 13}Prob > F ={res}    0.0000

{p 0 7}{space 1}{text:( 1)}{space 1} treatfull = -.145{p_end}

{txt}       F(  1,   186) ={res}   27.10
{txt}{col 13}Prob > F ={res}    0.0000

{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}     4,930
{txt}{col 49}F({res}   9{txt},{res}    186{txt}){col 67}= {res}     77.06
{txt}{col 49}Prob > F{col 67}= {res}    0.0000
{txt}{col 49}R-squared{col 67}= {res}    0.1110
{txt}{col 49}Adj R-squared{col 67}= {res}    0.1066
{txt}{col 49}Root MSE{col 67}= {res}    0.8984

{txt}{ralign 78:(Std. Err. adjusted for {res:187} clusters in hc_id)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}e_healthou~z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2}-.0025068{col 26}{space 2} .0273728{col 37}{space 1}   -0.09{col 46}{space 3}0.927{col 54}{space 4}-.0565079{col 67}{space 3} .0514943
{txt}b_healthou~z {c |}{col 14}{res}{space 2} .1301056{col 26}{space 2} .0158563{col 37}{space 1}    8.21{col 46}{space 3}0.000{col 54}{space 4} .0988243{col 67}{space 3}  .161387
{txt}b_healthou~d {c |}{col 14}{res}{space 2} .6767453{col 26}{space 2} .0268257{col 37}{space 1}   25.23{col 46}{space 3}0.000{col 54}{space 4} .6238235{col 67}{space 3}  .729667
{txt}{space 1}c_tfull_hc2 {c |}{col 14}{res}{space 2}-.0150939{col 26}{space 2} .0391048{col 37}{space 1}   -0.39{col 46}{space 3}0.700{col 54}{space 4}-.0922398{col 67}{space 3}  .062052
{txt}c_tfull_b_~l {c |}{col 14}{res}{space 2}-.0461058{col 26}{space 2} .0434625{col 37}{space 1}   -1.06{col 46}{space 3}0.290{col 54}{space 4}-.1318486{col 67}{space 3} .0396371
{txt}c_tfull_b_~s {c |}{col 14}{res}{space 2}-.0395781{col 26}{space 2} .0495328{col 37}{space 1}   -0.80{col 46}{space 3}0.425{col 54}{space 4}-.1372963{col 67}{space 3} .0581402
{txt}c_tfull_b_~d {c |}{col 14}{res}{space 2} .0312915{col 26}{space 2} .0564047{col 37}{space 1}    0.55{col 46}{space 3}0.580{col 54}{space 4}-.0799837{col 67}{space 3} .1425667
{txt}c_tfull_ed~r {c |}{col 14}{res}{space 2} .0095071{col 26}{space 2} .0036039{col 37}{space 1}    2.64{col 46}{space 3}0.009{col 54}{space 4} .0023975{col 67}{space 3} .0166168
{txt}c_tfull_b_~x {c |}{col 14}{res}{space 2} .0444258{col 26}{space 2} .0162695{col 37}{space 1}    2.73{col 46}{space 3}0.007{col 54}{space 4} .0123293{col 67}{space 3} .0765224
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} -.511236{col 26}{space 2} .0224249{col 37}{space 1}  -22.80{col 46}{space 3}0.000{col 54}{space 4}-.5554759{col 67}{space 3}-.4669962
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull = .146{p_end}

{txt}       F(  1,   186) ={res}   29.43
{txt}{col 13}Prob > F ={res}    0.0000

{p 0 7}{space 1}{text:( 1)}{space 1} treatfull = -.146{p_end}

{txt}       F(  1,   186) ={res}   27.48
{txt}{col 13}Prob > F ={res}    0.0000

{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}     4,930
{txt}{col 49}F({res}   9{txt},{res}    186{txt}){col 67}= {res}     77.06
{txt}{col 49}Prob > F{col 67}= {res}    0.0000
{txt}{col 49}R-squared{col 67}= {res}    0.1110
{txt}{col 49}Adj R-squared{col 67}= {res}    0.1066
{txt}{col 49}Root MSE{col 67}= {res}    0.8984

{txt}{ralign 78:(Std. Err. adjusted for {res:187} clusters in hc_id)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}e_healthou~z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2}-.0025068{col 26}{space 2} .0273728{col 37}{space 1}   -0.09{col 46}{space 3}0.927{col 54}{space 4}-.0565079{col 67}{space 3} .0514943
{txt}b_healthou~z {c |}{col 14}{res}{space 2} .1301056{col 26}{space 2} .0158563{col 37}{space 1}    8.21{col 46}{space 3}0.000{col 54}{space 4} .0988243{col 67}{space 3}  .161387
{txt}b_healthou~d {c |}{col 14}{res}{space 2} .6767453{col 26}{space 2} .0268257{col 37}{space 1}   25.23{col 46}{space 3}0.000{col 54}{space 4} .6238235{col 67}{space 3}  .729667
{txt}{space 1}c_tfull_hc2 {c |}{col 14}{res}{space 2}-.0150939{col 26}{space 2} .0391048{col 37}{space 1}   -0.39{col 46}{space 3}0.700{col 54}{space 4}-.0922398{col 67}{space 3}  .062052
{txt}c_tfull_b_~l {c |}{col 14}{res}{space 2}-.0461058{col 26}{space 2} .0434625{col 37}{space 1}   -1.06{col 46}{space 3}0.290{col 54}{space 4}-.1318486{col 67}{space 3} .0396371
{txt}c_tfull_b_~s {c |}{col 14}{res}{space 2}-.0395781{col 26}{space 2} .0495328{col 37}{space 1}   -0.80{col 46}{space 3}0.425{col 54}{space 4}-.1372963{col 67}{space 3} .0581402
{txt}c_tfull_b_~d {c |}{col 14}{res}{space 2} .0312915{col 26}{space 2} .0564047{col 37}{space 1}    0.55{col 46}{space 3}0.580{col 54}{space 4}-.0799837{col 67}{space 3} .1425667
{txt}c_tfull_ed~r {c |}{col 14}{res}{space 2} .0095071{col 26}{space 2} .0036039{col 37}{space 1}    2.64{col 46}{space 3}0.009{col 54}{space 4} .0023975{col 67}{space 3} .0166168
{txt}c_tfull_b_~x {c |}{col 14}{res}{space 2} .0444258{col 26}{space 2} .0162695{col 37}{space 1}    2.73{col 46}{space 3}0.007{col 54}{space 4} .0123293{col 67}{space 3} .0765224
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} -.511236{col 26}{space 2} .0224249{col 37}{space 1}  -22.80{col 46}{space 3}0.000{col 54}{space 4}-.5554759{col 67}{space 3}-.4669962
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull = .147{p_end}

{txt}       F(  1,   186) ={res}   29.83
{txt}{col 13}Prob > F ={res}    0.0000

{p 0 7}{space 1}{text:( 1)}{space 1} treatfull = -.147{p_end}

{txt}       F(  1,   186) ={res}   27.86
{txt}{col 13}Prob > F ={res}    0.0000

{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}     4,930
{txt}{col 49}F({res}   9{txt},{res}    186{txt}){col 67}= {res}     77.06
{txt}{col 49}Prob > F{col 67}= {res}    0.0000
{txt}{col 49}R-squared{col 67}= {res}    0.1110
{txt}{col 49}Adj R-squared{col 67}= {res}    0.1066
{txt}{col 49}Root MSE{col 67}= {res}    0.8984

{txt}{ralign 78:(Std. Err. adjusted for {res:187} clusters in hc_id)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}e_healthou~z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2}-.0025068{col 26}{space 2} .0273728{col 37}{space 1}   -0.09{col 46}{space 3}0.927{col 54}{space 4}-.0565079{col 67}{space 3} .0514943
{txt}b_healthou~z {c |}{col 14}{res}{space 2} .1301056{col 26}{space 2} .0158563{col 37}{space 1}    8.21{col 46}{space 3}0.000{col 54}{space 4} .0988243{col 67}{space 3}  .161387
{txt}b_healthou~d {c |}{col 14}{res}{space 2} .6767453{col 26}{space 2} .0268257{col 37}{space 1}   25.23{col 46}{space 3}0.000{col 54}{space 4} .6238235{col 67}{space 3}  .729667
{txt}{space 1}c_tfull_hc2 {c |}{col 14}{res}{space 2}-.0150939{col 26}{space 2} .0391048{col 37}{space 1}   -0.39{col 46}{space 3}0.700{col 54}{space 4}-.0922398{col 67}{space 3}  .062052
{txt}c_tfull_b_~l {c |}{col 14}{res}{space 2}-.0461058{col 26}{space 2} .0434625{col 37}{space 1}   -1.06{col 46}{space 3}0.290{col 54}{space 4}-.1318486{col 67}{space 3} .0396371
{txt}c_tfull_b_~s {c |}{col 14}{res}{space 2}-.0395781{col 26}{space 2} .0495328{col 37}{space 1}   -0.80{col 46}{space 3}0.425{col 54}{space 4}-.1372963{col 67}{space 3} .0581402
{txt}c_tfull_b_~d {c |}{col 14}{res}{space 2} .0312915{col 26}{space 2} .0564047{col 37}{space 1}    0.55{col 46}{space 3}0.580{col 54}{space 4}-.0799837{col 67}{space 3} .1425667
{txt}c_tfull_ed~r {c |}{col 14}{res}{space 2} .0095071{col 26}{space 2} .0036039{col 37}{space 1}    2.64{col 46}{space 3}0.009{col 54}{space 4} .0023975{col 67}{space 3} .0166168
{txt}c_tfull_b_~x {c |}{col 14}{res}{space 2} .0444258{col 26}{space 2} .0162695{col 37}{space 1}    2.73{col 46}{space 3}0.007{col 54}{space 4} .0123293{col 67}{space 3} .0765224
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} -.511236{col 26}{space 2} .0224249{col 37}{space 1}  -22.80{col 46}{space 3}0.000{col 54}{space 4}-.5554759{col 67}{space 3}-.4669962
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull = .148{p_end}

{txt}       F(  1,   186) ={res}   30.23
{txt}{col 13}Prob > F ={res}    0.0000

{p 0 7}{space 1}{text:( 1)}{space 1} treatfull = -.148{p_end}

{txt}       F(  1,   186) ={res}   28.25
{txt}{col 13}Prob > F ={res}    0.0000

{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}     4,930
{txt}{col 49}F({res}   9{txt},{res}    186{txt}){col 67}= {res}     77.06
{txt}{col 49}Prob > F{col 67}= {res}    0.0000
{txt}{col 49}R-squared{col 67}= {res}    0.1110
{txt}{col 49}Adj R-squared{col 67}= {res}    0.1066
{txt}{col 49}Root MSE{col 67}= {res}    0.8984

{txt}{ralign 78:(Std. Err. adjusted for {res:187} clusters in hc_id)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}e_healthou~z{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}treatfull {c |}{col 14}{res}{space 2}-.0025068{col 26}{space 2} .0273728{col 37}{space 1}   -0.09{col 46}{space 3}0.927{col 54}{space 4}-.0565079{col 67}{space 3} .0514943
{txt}b_healthou~z {c |}{col 14}{res}{space 2} .1301056{col 26}{space 2} .0158563{col 37}{space 1}    8.21{col 46}{space 3}0.000{col 54}{space 4} .0988243{col 67}{space 3}  .161387
{txt}b_healthou~d {c |}{col 14}{res}{space 2} .6767453{col 26}{space 2} .0268257{col 37}{space 1}   25.23{col 46}{space 3}0.000{col 54}{space 4} .6238235{col 67}{space 3}  .729667
{txt}{space 1}c_tfull_hc2 {c |}{col 14}{res}{space 2}-.0150939{col 26}{space 2} .0391048{col 37}{space 1}   -0.39{col 46}{space 3}0.700{col 54}{space 4}-.0922398{col 67}{space 3}  .062052
{txt}c_tfull_b_~l {c |}{col 14}{res}{space 2}-.0461058{col 26}{space 2} .0434625{col 37}{space 1}   -1.06{col 46}{space 3}0.290{col 54}{space 4}-.1318486{col 67}{space 3} .0396371
{txt}c_tfull_b_~s {c |}{col 14}{res}{space 2}-.0395781{col 26}{space 2} .0495328{col 37}{space 1}   -0.80{col 46}{space 3}0.425{col 54}{space 4}-.1372963{col 67}{space 3} .0581402
{txt}c_tfull_b_~d {c |}{col 14}{res}{space 2} .0312915{col 26}{space 2} .0564047{col 37}{space 1}    0.55{col 46}{space 3}0.580{col 54}{space 4}-.0799837{col 67}{space 3} .1425667
{txt}c_tfull_ed~r {c |}{col 14}{res}{space 2} .0095071{col 26}{space 2} .0036039{col 37}{space 1}    2.64{col 46}{space 3}0.009{col 54}{space 4} .0023975{col 67}{space 3} .0166168
{txt}c_tfull_b_~x {c |}{col 14}{res}{space 2} .0444258{col 26}{space 2} .0162695{col 37}{space 1}    2.73{col 46}{space 3}0.007{col 54}{space 4} .0123293{col 67}{space 3} .0765224
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} -.511236{col 26}{space 2} .0224249{col 37}{space 1}  -22.80{col 46}{space 3}0.000{col 54}{space 4}-.5554759{col 67}{space 3}-.4669962
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    district {c |}   absorbed                                      (16 categories)

{p 0 7}{space 1}{text:( 1)}{space 1} {res}treatfull = .149{p_end}

{txt}       F(  1,   186) ={res}   30.64
{txt}{col 13}Prob > F ={res}    0.0000

{p 0 7}{space 1}{text:( 1)}{space 1} treatfull = -.149{p_end}

{txt}       F(  1,   186) ={res}   28.64
{txt}{col 13}Prob > F ={res}    0.0000
{txt}
{com}.                 
.         * At endline preparing data for graph
.         
.         keep pvale*
{txt}
{com}.         duplicates drop

{p 0 4}{txt}Duplicates in terms of {txt} all variables{p_end}

(18,550 observations deleted)

{com}.         
.         gen x = 1
{txt}
{com}.         reshape long pvalehealthoutcome_z_, i(x) j(pos)
{txt}(note: j = 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129 130 131 132 133 134 135 136 137 138 139 140 141 142 143 144 145 146 147 148 149)

Data{col 36}wide{col 43}->{col 48}long
{hline 77}
Number of obs.                 {res}       1   {txt}->{res}     149
{txt}Number of variables            {res}     150   {txt}->{res}       3
{txt}j variable (149 values)                   ->   {res}pos
{txt}xij variables:
{res}pvalehealthoutcome_z_1 pvalehealthoutcome_z_2 ... pvalehealthoutcome_z_149{txt}->{res}pvalehealthoutcome_z_
{txt}{hline 77}

{com}.         
.         drop x 
{txt}
{com}.         replace pos = pos/1000
{txt}variable {bf}pos{sf} was {bf}{res}int{sf}{txt} now {bf}{res}float{sf}
{txt}(149 real changes made)

{com}.         
.         * We create the graph
.         
.         foreach x in healthoutcome_z {c -(}
{txt}  2{com}.         
.                 lab var pvale`x'_ "P-value"
{txt}  3{com}.                 lab var pos "Lambda"
{txt}  4{com}.         
.                 twoway scatter pvale`x'_ pos, yline(0.05, lp(dash)) scheme(s1mono) mcolor(blue) ytick(0.0(0.2)1.0) ylabel(0.0(0.2)1.0) xtick(.001(.001).15)
{txt}  5{com}.                 gr export "${c -(}Figures{c )-}/Figure9_pvale`x'.png", replace
{txt}  6{com}.         
.                 {c )-}
{res}{txt}(file /Users/fredericcochinard/Dropbox/ACT_Health_JOP_replication_file/3.Tables and Figures/Figures/Figure9_pvalehealthoutcome_z.png written in PNG format)

{com}.                 
.         *************************************************
.         * Table J1: GOAL attendance and monitoring data *
.         *************************************************
.         
.         * In this section, we will create the GOAL attendance and Assesment tools from Data we manually entered from document share by our partner
.         
.         * We import the do-file
.         
.         use "${c -(}usedata{c )-}/GOAL_attendance_data.dta", clear
{txt}
{com}.         
.         * We take care of the treatment arms
. 
.         replace treatment = "3" if treatment == "T3 - Interface"
{txt}(97 real changes made)

{com}.         replace treatment = "2" if treatment == "T2 - Information"
{txt}(92 real changes made)

{com}.         replace treatment = "1" if treatment == "T1 - Full program"
{txt}(91 real changes made)

{com}. 
.         destring treatment, replace
{txt}treatment: all characters numeric; {res}replaced {txt}as {res}byte
{txt}
{com}. 
.         * We implement the table for GOAL statistics we compiled
.         
.         * Section A. HC information separate dialogue
.         
.         * # of staff present
. 
.         forvalues x = 1/2 {c -(}
{txt}  2{com}.                 sum att_hc_dialogue if treatment == `x'
{txt}  3{com}.                 local n_1_`x' `r(N)'
{txt}  4{com}.                 local est_1_`x' = string(`r(mean)',"%9.2fc")
{txt}  5{com}.                 local sd_1_`x' = string(`r(sd)',"%9.2fc")               
{txt}  6{com}.                 {c )-}

{txt}    Variable {c |}        Obs        Mean    Std. Dev.       Min        Max
{hline 13}{c +}{hline 57}
att_hc_dia~e {c |}{res}         90    6.144444    3.255285          1         17

{txt}    Variable {c |}        Obs        Mean    Std. Dev.       Min        Max
{hline 13}{c +}{hline 57}
att_hc_dia~e {c |}{res}         92     6.23913      3.4238          1         18
{txt}
{com}. 
. 
.         * % of HC staff present
. 
.         * As we have missing data we take the number of staff at baseline for missing values
. 
.         preserve
{txt}
{com}. 
.         use "${c -(}usedata{c )-}/chp_el_light_dataset.dta", clear
{txt}
{com}. 
.         egen b_h_dpercentstaff = anycount(b_h_present*), values(1,2)
{res}{txt}
{com}.         
.         keep hc_id b_h_dpercentstaff
{txt}
{com}. 
.         duplicates drop

{p 0 4}{txt}Duplicates in terms of {txt} all variables{p_end}

(14,919 observations deleted)

{com}. 
.         tempfile staffpresence
{txt}
{com}.         sa "`staffpresence'"
{txt}file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.00000k saved

{com}. 
.         restore
{txt}
{com}. 
.         merge 1:1 hc_id using "`staffpresence'"
{res}{txt}{p 0 7 2}
(note: variable
hc_id was 
int, now float to accommodate using data's values)
{p_end}

{col 5}Result{col 38}# of obs.
{col 5}{hline 41}
{col 5}not matched{col 30}{res}              96
{txt}{col 9}from master{col 30}{res}               0{txt}  (_merge==1)
{col 9}from using{col 30}{res}              96{txt}  (_merge==2)

{col 5}matched{col 30}{res}             280{txt}  (_merge==3)
{col 5}{hline 41}

{com}. 
.         drop if _merge != 3
{txt}(96 observations deleted)

{com}.         drop _merge
{txt}
{com}. 
.         replace pct_hc_dialogue =  att_hc_dialogue/b_h_dpercentstaff if pct_hc_dialogue == .
{txt}(23 real changes made)

{com}. 
.         forvalues x = 1/2 {c -(}
{txt}  2{com}.                 sum pct_hc_dialogue if treatment == `x'
{txt}  3{com}.                 local n_2_`x' `r(N)'
{txt}  4{com}.                 local est_2_`x' = string(`r(mean)',"%9.2fc")
{txt}  5{com}.                 local sd_2_`x' = string(`r(sd)',"%9.2fc")               
{txt}  6{com}.                 {c )-}

{txt}    Variable {c |}        Obs        Mean    Std. Dev.       Min        Max
{hline 13}{c +}{hline 57}
pct_hc_dia~e {c |}{res}         90    67.25029    33.88827   .1666667        100

{txt}    Variable {c |}        Obs        Mean    Std. Dev.       Min        Max
{hline 13}{c +}{hline 57}
pct_hc_dia~e {c |}{res}         92    71.04363    27.55649   .6315789        100
{txt}
{com}.         
.         * Section B. Community information separate dialogue
.         
.         * Data has been entered such as we need to sum men and women
. 
.         * # of community members present 
. 
.         replace att_comm_dialogue = att_comm_dialogue + att_comm_f_dialogue if att_comm_f_dialogue != .
{txt}(181 real changes made)

{com}. 
.         forvalues x = 1/2 {c -(}
{txt}  2{com}.                 sum att_comm_dialogue if treatment == `x'
{txt}  3{com}.                 local n_3_`x' `r(N)'
{txt}  4{com}.                 local est_3_`x' = string(`r(mean)',"%9.2fc")
{txt}  5{com}.                 local sd_3_`x' = string(`r(sd)',"%9.2fc")               
{txt}  6{com}.                 {c )-}

{txt}    Variable {c |}        Obs        Mean    Std. Dev.       Min        Max
{hline 13}{c +}{hline 57}
att_comm_d~e {c |}{res}         90    102.3556    20.99294         53        151

{txt}    Variable {c |}        Obs        Mean    Std. Dev.       Min        Max
{hline 13}{c +}{hline 57}
att_comm_d~e {c |}{res}         91    99.01099    25.17384         48        186
{txt}
{com}. 
.         * # of female community members present 
. 
.         forvalues x = 1/2 {c -(}
{txt}  2{com}.                 sum att_comm_f_dialogue if treatment == `x'
{txt}  3{com}.                 local n_4_`x' `r(N)'
{txt}  4{com}.                 local est_4_`x' = string(`r(mean)',"%9.2fc")
{txt}  5{com}.                 local sd_4_`x' = string(`r(sd)',"%9.2fc")               
{txt}  6{com}.                 {c )-}

{txt}    Variable {c |}        Obs        Mean    Std. Dev.       Min        Max
{hline 13}{c +}{hline 57}
att_comm_f~e {c |}{res}         90    35.66667    8.785842         13         63

{txt}    Variable {c |}        Obs        Mean    Std. Dev.       Min        Max
{hline 13}{c +}{hline 57}
att_comm_f~e {c |}{res}         91    34.26374    9.911649         11         65
{txt}
{com}. 
.         * % of HCs where at least one SC official is present
. 
.         gen sc_comm_dialogue_d = 0
{txt}
{com}.         replace sc_comm_dialogue_d = 1 if sc_comm_dialogue == 1
{txt}(42 real changes made)

{com}.         replace sc_comm_dialogue_d = . if sc_comm_dialogue == .
{txt}(99 real changes made, 99 to missing)

{com}. 
.         forvalues x = 1/2 {c -(}
{txt}  2{com}.                 sum sc_comm_dialogue_d if treatment == `x'
{txt}  3{com}.                 local n_5_`x' `r(N)'
{txt}  4{com}.                 local est_5_`x' = string(`r(mean)',"%9.2fc")
{txt}  5{com}.                 local sd_5_`x' = string(`r(sd)',"%9.2fc")               
{txt}  6{com}.                 {c )-}

{txt}    Variable {c |}        Obs        Mean    Std. Dev.       Min        Max
{hline 13}{c +}{hline 57}
sc_comm_di~d {c |}{res}         90          .1    .3016807          0          1

{txt}    Variable {c |}        Obs        Mean    Std. Dev.       Min        Max
{hline 13}{c +}{hline 57}
sc_comm_di~d {c |}{res}         91    .3626374    .4834249          0          1
{txt}
{com}.                 
.         * Section C. Interface meeting
.         
.         * # of community members present 
. 
.         forvalues x = 1(2)3 {c -(}
{txt}  2{com}.                 sum com_att_interface if treatment == `x'
{txt}  3{com}.                 local n_6_`x' `r(N)'
{txt}  4{com}.                 local est_6_`x' = string(`r(mean)',"%9.2fc")
{txt}  5{com}.                 local sd_6_`x' = string(`r(sd)',"%9.2fc")               
{txt}  6{com}.                 {c )-}

{txt}    Variable {c |}        Obs        Mean    Std. Dev.       Min        Max
{hline 13}{c +}{hline 57}
com_att_in~e {c |}{res}         91     33.0989    14.94141         15         81

{txt}    Variable {c |}        Obs        Mean    Std. Dev.       Min        Max
{hline 13}{c +}{hline 57}
com_att_in~e {c |}{res}         97    67.38144    13.66904         33         97
{txt}
{com}. 
.         * # of female community members present 
. 
.         forvalues x = 1(2)3 {c -(}
{txt}  2{com}.                 sum com_att_fem_interface if treatment == `x'
{txt}  3{com}.                 local n_7_`x' `r(N)'
{txt}  4{com}.                 local est_7_`x' = string(`r(mean)',"%9.2fc")
{txt}  5{com}.                 local sd_7_`x' = string(`r(sd)',"%9.2fc")               
{txt}  6{com}.                 {c )-}

{txt}    Variable {c |}        Obs        Mean    Std. Dev.       Min        Max
{hline 13}{c +}{hline 57}
com_att_fe~e {c |}{res}         90    16.86667    8.834559          4         49

{txt}    Variable {c |}        Obs        Mean    Std. Dev.       Min        Max
{hline 13}{c +}{hline 57}
com_att_fe~e {c |}{res}         97    34.79381      10.492         10         62
{txt}
{com}.         
. 
.         * # of HC staff present 
. 
.         forvalues x = 1(2)3 {c -(}
{txt}  2{com}.                 sum hc_att_interface if treatment == `x'
{txt}  3{com}.                 local n_8_`x' `r(N)'
{txt}  4{com}.                 local est_8_`x' = string(`r(mean)',"%9.2fc")
{txt}  5{com}.                 local sd_8_`x' = string(`r(sd)',"%9.2fc")               
{txt}  6{com}.                 {c )-}

{txt}    Variable {c |}        Obs        Mean    Std. Dev.       Min        Max
{hline 13}{c +}{hline 57}
hc_att_int~e {c |}{res}         91    3.967033    2.306756          1         13

{txt}    Variable {c |}        Obs        Mean    Std. Dev.       Min        Max
{hline 13}{c +}{hline 57}
hc_att_int~e {c |}{res}         97    3.804124    2.447955          1         11
{txt}
{com}. 
.         * % of HCs where at least one SC official is present
. 
.         gen sc_att_interface_d = 0
{txt}
{com}.         replace sc_att_interface_d = 1 if sc_att_interface == 1
{txt}(61 real changes made)

{com}.         replace sc_att_interface_d = . if sc_att_interface == .
{txt}(92 real changes made, 92 to missing)

{com}. 
.         forvalues x = 1(2)3 {c -(}
{txt}  2{com}.                 sum sc_att_interface_d if treatment == `x'
{txt}  3{com}.                 local n_9_`x' `r(N)'
{txt}  4{com}.                 local est_9_`x' = string(`r(mean)',"%9.2fc")
{txt}  5{com}.                 local sd_9_`x' = string(`r(sd)',"%9.2fc")               
{txt}  6{com}.                 {c )-}

{txt}    Variable {c |}        Obs        Mean    Std. Dev.       Min        Max
{hline 13}{c +}{hline 57}
sc_att_int~d {c |}{res}         91    .2967033    .4593354          0          1

{txt}    Variable {c |}        Obs        Mean    Std. Dev.       Min        Max
{hline 13}{c +}{hline 57}
sc_att_int~d {c |}{res}         97    .3505155      .47961          0          1
{txt}
{com}.                 
.         * Section D. Follow-up meetings (average across three meetings)
.         
.         * We keep 3 meetings as the fourth one was after endline
. 
.         * # of community members present 
. 
.         * We need to add both men and women attendance
. 
.         forvalues x = 1/3 {c -(}
{txt}  2{com}.                 gen attendance_f`x' = com_att_f_interface_`x' if treatment == 1 | treatment == 3
{txt}  3{com}.                 replace attendance_f`x' = attendance_f`x' + com_att_f_fem_interface_`x' if treatment == 1 & com_att_f_fem_interface_`x' != . | treatment == 3 & com_att_f_fem_interface_`x' != .
{txt}  4{com}.                 replace attendance_f`x' = com_att_f_comm_`x' if treatment == 2  
{txt}  5{com}.                 replace attendance_f`x' = com_att_f_comm_`x' + com_att_f_fem_comm_`x' if treatment == 2 & com_att_f_fem_comm_`x' != .
{txt}  6{com}.                 {c )-}
{txt}(94 missing values generated)
(186 real changes made)
(92 real changes made)
(91 real changes made)
(95 missing values generated)
(185 real changes made)
(89 real changes made)
(88 real changes made)
(102 missing values generated)
(178 real changes made)
(83 real changes made)
(83 real changes made)

{com}.         
.         egen attendance_fup = rowmean(attendance_f1 attendance_f2 attendance_f3)
{txt}
{com}. 
.         forvalues x = 1/3 {c -(}
{txt}  2{com}.                 sum attendance_fup if treatment == `x'
{txt}  3{com}.                 local n_10_`x' `r(N)'
{txt}  4{com}.                 local est_10_`x' = string(`r(mean)',"%9.2fc")
{txt}  5{com}.                 local sd_10_`x' = string(`r(sd)',"%9.2fc")              
{txt}  6{com}.                 {c )-}

{txt}    Variable {c |}        Obs        Mean    Std. Dev.       Min        Max
{hline 13}{c +}{hline 57}
attendance~p {c |}{res}         91    41.00916    14.77338   18.33333   80.33334

{txt}    Variable {c |}        Obs        Mean    Std. Dev.       Min        Max
{hline 13}{c +}{hline 57}
attendance~p {c |}{res}         92    54.50543    20.14307   18.33333   110.3333

{txt}    Variable {c |}        Obs        Mean    Std. Dev.       Min        Max
{hline 13}{c +}{hline 57}
attendance~p {c |}{res}         97     55.6701    17.53711         28   102.3333
{txt}
{com}. 
.         * # of female community members present 
. 
.         forvalues x = 1/3 {c -(}
{txt}  2{com}.                 gen attendance_fem_f`x' = com_att_f_fem_interface_`x' if treatment == 1 | treatment == 3
{txt}  3{com}.                 replace attendance_fem_f`x' = com_att_f_fem_comm_`x' if treatment == 2
{txt}  4{com}.                 {c )-}
{txt}(94 missing values generated)
(92 real changes made)
(95 missing values generated)
(89 real changes made)
(102 missing values generated)
(83 real changes made)

{com}.         
.         egen attendance_fem_fup = rowmean(attendance_fem_f1 attendance_fem_f2 attendance_fem_f3)
{txt}
{com}. 
.         forvalues x = 1/3 {c -(}
{txt}  2{com}.                 sum attendance_fem_fup if treatment == `x'
{txt}  3{com}.                 local n_11_`x' `r(N)'
{txt}  4{com}.                 local est_11_`x' = string(`r(mean)',"%9.2fc")
{txt}  5{com}.                 local sd_11_`x' = string(`r(sd)',"%9.2fc")              
{txt}  6{com}.                 {c )-}

{txt}    Variable {c |}        Obs        Mean    Std. Dev.       Min        Max
{hline 13}{c +}{hline 57}
attend~m_fup {c |}{res}         91    20.53663    8.126538   6.333333   44.66667

{txt}    Variable {c |}        Obs        Mean    Std. Dev.       Min        Max
{hline 13}{c +}{hline 57}
attend~m_fup {c |}{res}         92    27.36594    11.01196   11.66667         68

{txt}    Variable {c |}        Obs        Mean    Std. Dev.       Min        Max
{hline 13}{c +}{hline 57}
attend~m_fup {c |}{res}         97    29.20619    11.40971         12   71.66666
{txt}
{com}. 
.         * # of HC staff present 
. 
.         forvalues x = 1/3 {c -(}     
{txt}  2{com}.                 gen attendance_hc_f`x' = hc_att_f_interface_`x' if treatment == 1 | treatment == 3
{txt}  3{com}.                 replace attendance_hc_f`x' = com_att_f_hc_`x' if treatment == 2
{txt}  4{com}.                 {c )-}
{txt}(94 missing values generated)
(89 real changes made)
(95 missing values generated)
(90 real changes made)
(101 missing values generated)
(81 real changes made)

{com}.         
.         egen attendance_hc_fup = rowmean(attendance_hc_f1 attendance_hc_f2 attendance_hc_f3)
{txt}(2 missing values generated)

{com}. 
.         forvalues x = 1/3 {c -(}
{txt}  2{com}.                 sum attendance_hc_fup if treatment == `x'
{txt}  3{com}.                 local n_12_`x' `r(N)'
{txt}  4{com}.                 local est_12_`x' = string(`r(mean)',"%9.2fc")
{txt}  5{com}.                 local sd_12_`x' = string(`r(sd)',"%9.2fc")              
{txt}  6{com}.                 {c )-}

{txt}    Variable {c |}        Obs        Mean    Std. Dev.       Min        Max
{hline 13}{c +}{hline 57}
attend~c_fup {c |}{res}         91     3.70696    2.224213          1   13.33333

{txt}    Variable {c |}        Obs        Mean    Std. Dev.       Min        Max
{hline 13}{c +}{hline 57}
attend~c_fup {c |}{res}         90    3.144444    3.300134          0         22

{txt}    Variable {c |}        Obs        Mean    Std. Dev.       Min        Max
{hline 13}{c +}{hline 57}
attend~c_fup {c |}{res}         97    3.457045    2.095696          1   12.66667
{txt}
{com}. 
.         * % of HCs where at least one SC official is present
. 
.         * We don't have value for info only
. 
.         forvalues x = 1/3 {c -(}
{txt}  2{com}.                 gen attendance_sc_f`x' = sc_att_f_interface_`x' if treatment == 1 | treatment == 3
{txt}  3{com}.                 {c )-}
{txt}(94 missing values generated)
(95 missing values generated)
(101 missing values generated)

{com}.         
.         egen attendance_sc_fup = rowmean(attendance_sc_f1 attendance_sc_f2 attendance_sc_f3)
{txt}(92 missing values generated)

{com}. 
.         forvalues x = 1(2)3 {c -(}
{txt}  2{com}.                 sum attendance_sc_fup if treatment == `x'
{txt}  3{com}.                 local n_13_`x' `r(N)'
{txt}  4{com}.                 local est_13_`x' = string(`r(mean)',"%9.2fc")
{txt}  5{com}.                 local sd_13_`x' = string(`r(sd)',"%9.2fc")              
{txt}  6{com}.                 {c )-}

{txt}    Variable {c |}        Obs        Mean    Std. Dev.       Min        Max
{hline 13}{c +}{hline 57}
atten~sc_fup {c |}{res}         91    .3919414    .5388451          0   2.333333

{txt}    Variable {c |}        Obs        Mean    Std. Dev.       Min        Max
{hline 13}{c +}{hline 57}
atten~sc_fup {c |}{res}         97    .4690722    .5957653          0   2.666667
{txt}
{com}.         
.         * Section E. Supervision/Assesment tools
.         
.         * We import the relevant excel file
. 
.         use "${c -(}usedata{c )-}/GOAL_assesment_tool.dta", clear
{txt}
{com}. 
.         replace treatment = "3" if treatment == "T3 - Interface"
{txt}(97 real changes made)

{com}.         replace treatment = "2" if treatment == "T2 - Information"
{txt}(92 real changes made)

{com}.         replace treatment = "1" if treatment == "T1 - Full program"
{txt}(92 real changes made)

{com}. 
.         destring treatment, replace
{txt}treatment: all characters numeric; {res}replaced {txt}as {res}byte
{txt}
{com}. 
. 
.         * % supervision during the initial activity
. 
.         forvalues x = 1/3 {c -(}
{txt}  2{com}.                 sum initial_activity if treatment == `x'
{txt}  3{com}.                 local n_14_`x' `r(N)'
{txt}  4{com}.                 local est_14_`x' = string(`r(mean)',"%9.2fc")
{txt}  5{com}.                 local sd_14_`x' = string(`r(sd)',"%9.2fc")              
{txt}  6{com}.                 {c )-}

{txt}    Variable {c |}        Obs        Mean    Std. Dev.       Min        Max
{hline 13}{c +}{hline 57}
initial_ac~y {c |}{res}         92    .8043478    .3988756          0          1

{txt}    Variable {c |}        Obs        Mean    Std. Dev.       Min        Max
{hline 13}{c +}{hline 57}
initial_ac~y {c |}{res}         92    .6195652     .488154          0          1

{txt}    Variable {c |}        Obs        Mean    Std. Dev.       Min        Max
{hline 13}{c +}{hline 57}
initial_ac~y {c |}{res}         97    .5773196    .4965517          0          1
{txt}
{com}. 
.         * % supervision during at least one follow-up meeting
. 
.         egen total_fu = rowtotal(fu_1 fu_2 fu_3)
{txt}
{com}. 
.         gen fu1 = 0 if total_fu < 1 & total_fu != .
{txt}(226 missing values generated)

{com}.         replace fu1 = 1 if total_fu >= 1 & total_fu != .
{txt}(226 real changes made)

{com}. 
.         forvalues x = 1/3 {c -(}
{txt}  2{com}.                 sum fu1 if treatment == `x'
{txt}  3{com}.                 local n_15_`x' `r(N)'
{txt}  4{com}.                 local est_15_`x' = string(`r(mean)',"%9.2fc")
{txt}  5{com}.                 local sd_15_`x' = string(`r(sd)',"%9.2fc")              
{txt}  6{com}.                 {c )-}

{txt}    Variable {c |}        Obs        Mean    Std. Dev.       Min        Max
{hline 13}{c +}{hline 57}
{space 9}fu1 {c |}{res}         92    .7608696    .4288898          0          1

{txt}    Variable {c |}        Obs        Mean    Std. Dev.       Min        Max
{hline 13}{c +}{hline 57}
{space 9}fu1 {c |}{res}         92     .923913      .26659          0          1

{txt}    Variable {c |}        Obs        Mean    Std. Dev.       Min        Max
{hline 13}{c +}{hline 57}
{space 9}fu1 {c |}{res}         97    .7319588    .4452402          0          1
{txt}
{com}. 
.         * % supervision at least one time (initial activity or follow-up)
. 
.         egen total_ifu = rowtotal(initial_activity fu_1 fu_2 fu_3)
{txt}
{com}. 
.         gen inita_fu = 0 if total_ifu < 1 & total_ifu != .
{txt}(271 missing values generated)

{com}.         replace inita_fu = 1 if total_ifu >= 1 & total_ifu != .
{txt}(271 real changes made)

{com}. 
.         forvalues x = 1/3 {c -(}
{txt}  2{com}.                 sum inita_fu if treatment == `x'
{txt}  3{com}.                 local n_16_`x' `r(N)'
{txt}  4{com}.                 local est_16_`x' = string(`r(mean)',"%9.2fc")
{txt}  5{com}.                 local sd_16_`x' = string(`r(sd)',"%9.2fc")              
{txt}  6{com}.                 {c )-}

{txt}    Variable {c |}        Obs        Mean    Std. Dev.       Min        Max
{hline 13}{c +}{hline 57}
{space 4}inita_fu {c |}{res}         92    .9782609    .1466296          0          1

{txt}    Variable {c |}        Obs        Mean    Std. Dev.       Min        Max
{hline 13}{c +}{hline 57}
{space 4}inita_fu {c |}{res}         92    .9891304    .1042572          0          1

{txt}    Variable {c |}        Obs        Mean    Std. Dev.       Min        Max
{hline 13}{c +}{hline 57}
{space 4}inita_fu {c |}{res}         97    .9278351    .2601051          0          1
{txt}
{com}.                 
.         
.         texdoc init "${c -(}tables{c )-}/TableJ1.tex", replace force
{res}{txt}(texdoc output file is /Users/fredericcochinard/Dropbox/ACT_Health_JOP_replication_file/3.Tables and Figures/Tables/TableJ1.tex)
{res}{txt}
{com}.         tex \begin{c -(}landscape{c )-}
{res}{txt}
{com}.         tex \begin{c -(}table{c )-}[htbp]\centering
{res}{txt}
{com}.         tex \footnotesize
{res}{txt}
{com}.         tex \def\sym#1{c -(}\ifmmode^{c -(}#1{c )-}\else\(^{c -(}#1{c )-}\)\fi{c )-}
{res}{txt}
{com}.         tex \caption{c -(}GOAL attendance and monitoring data{c )-}
{res}{txt}
{com}.         tex \begin{c -(}tabular{c )-}{c -(}lccccccccl{c )-}
{res}{txt}
{com}.         tex \toprule
{res}{txt}
{com}.         tex                                                                               & \multicolumn{c -(}3{c )-}{c -(}c{c )-}{c -(}Full treatment{c )-}                      & \multicolumn{c -(}3{c )-}{c -(}c{c )-}{c -(}Information only{c )-}                                                          & \multicolumn{c -(}3{c )-}{c -(}c{c )-}{c -(}Interface only{c )-}                     \\
{res}{txt}
{com}.         tex                                                                                       & \multicolumn{c -(}1{c )-}{c -(}c{c )-}{c -(}N{c )-} & \multicolumn{c -(}1{c )-}{c -(}c{c )-}{c -(}Mean{c )-} & \multicolumn{c -(}1{c )-}{c -(}c{c )-}{c -(}SD{c )-} & \multicolumn{c -(}1{c )-}{c -(}c{c )-}{c -(}N{c )-} & \multicolumn{c -(}1{c )-}{c -(}c{c )-}{c -(}Mean{c )-} & \multicolumn{c -(}1{c )-}{c -(}c{c )-}{c -(}SD{c )-} & \multicolumn{c -(}1{c )-}{c -(}c{c )-}{c -(}N{c )-} & \multicolumn{c -(}1{c )-}{c -(}c{c )-}{c -(}Mean{c )-} & \multicolumn{c -(}1{c )-}{c -(}c{c )-}{c -(}SD{c )-} \\
{res}{txt}
{com}.         tex \midrule
{res}{txt}
{com}.         tex \textit{c -(}\textbf{c -(}Section A. HC information separate dialogue{c )-}{c )-} \\
{res}{txt}
{com}.         tex \# of HC staff present  & `n_1_1' & `est_1_1' & `sd_1_1' & `n_1_2' & `est_1_2' & `sd_1_2' & X & X & X \\
{res}{txt}
{com}.         tex \% of HC staff present   & `n_2_1' & `est_2_1' & `sd_2_1' & `n_2_2' & `est_2_2' & `sd_2_2' & X & X & X \\
{res}{txt}
{com}.         tex \textit{c -(}\textbf{c -(}Section B. Community information separate dialogue{c )-}{c )-} \\
{res}{txt}
{com}.         tex \# of community members present   & `n_3_1' & `est_3_1' & `sd_3_1' & `n_3_2' & `est_3_2' & `sd_3_2' & X & X & X \\
{res}{txt}
{com}.         tex \# of female community members present    & `n_4_1' & `est_4_1' & `sd_4_1' & `n_4_2' & `est_4_2' & `sd_4_2' & X & X & X \\
{res}{txt}
{com}.         tex \% of HCs where at least one SC official is present    & `n_5_1' & `est_5_1' & `sd_5_1' & `n_5_2' & `est_5_2' & `sd_5_2' & X & X & X \\
{res}{txt}
{com}.         tex \textit{c -(}\textbf{c -(}Section C. Interface meeting{c )-}{c )-} \\
{res}{txt}
{com}.         tex \# of community members present   & `n_6_1' & `est_6_1' & `sd_6_1' & X & X & X & `n_6_3' & `est_6_3' & `sd_6_3' \\
{res}{txt}
{com}.         tex \# of female community members present     & `n_7_1' & `est_7_1' & `sd_7_1' & X & X & X & `n_7_3' & `est_7_3' & `sd_7_3' \\
{res}{txt}
{com}.         tex \# of HC staff present     & `n_8_1' & `est_8_1' & `sd_8_1' & X & X & X & `n_8_3' & `est_8_3' & `sd_8_3' \\
{res}{txt}
{com}.         tex \% of HCs where at least one SC official is present & `n_9_1' & `est_9_1' & `sd_9_1' & X & X & X & `n_9_3' & `est_9_3' & `sd_9_3' \\
{res}{txt}
{com}.         tex \textit{c -(}\textbf{c -(}Section D. Follow-up meetings (average across three meetings){c )-}{c )-} \\
{res}{txt}
{com}.         tex \# of community members present   & `n_10_1' & `est_10_1' & `sd_10_1' & `n_10_2' & `est_10_2' & `sd_10_2' & `n_10_3' & `est_10_3' & `sd_10_3' \\
{res}{txt}
{com}.         tex \# of female community members present    & `n_11_1' & `est_11_1' & `sd_11_1' & `n_11_2' & `est_11_2' & `sd_11_2' & `n_11_3' & `est_11_3' & `sd_11_3' \\
{res}{txt}
{com}.         tex \# of HC staff present     & `n_12_1' & `est_12_1' & `sd_12_1' & `n_12_2' & `est_12_2' & `sd_12_2' & `n_12_3' & `est_12_3' & `sd_12_3' \\
{res}{txt}
{com}.         tex \% of HCs where at least one SC official is present & `n_13_1' & `est_13_1' & `sd_13_1' & `n_13_2' & `est_13_2' & `sd_13_2' & `n_13_3' & `est_13_3' & `sd_13_3' \\
{res}{txt}
{com}.         tex \textit{c -(}\textbf{c -(}Section E. Supervision/Assesment tools{c )-}{c )-} \\
{res}{txt}
{com}.         tex \% supervision during the initial activity   & `n_14_1' & `est_14_1' & `sd_14_1' & `n_14_2' & `est_14_2' & `sd_14_2' & `n_14_3' & `est_14_3' & `sd_14_3' \\
{res}{txt}
{com}.         tex \% supervision during at least one follow-up meeting    & `n_15_1' & `est_15_1' & `sd_15_1' & `n_15_2' & `est_15_2' & `sd_15_2' & `n_15_3' & `est_15_3' & `sd_15_3' \\
{res}{txt}
{com}.         tex \% supervision at least one time (initial activity or follow-up) & `n_16_1' & `est_16_1' & `sd_16_1' & `n_16_2' & `est_16_2' & `sd_16_2' & `n_16_3' & `est_16_3' & `sd_16_3' \\
{res}{txt}
{com}.         tex \bottomrule
{res}{txt}
{com}.         tex \end{c -(}tabular{c )-}
{res}{txt}
{com}.         tex \end{c -(}table{c )-}
{res}{txt}
{com}.         texdoc close
{txt}(texdoc output written to {browse `"/Users/fredericcochinard/Dropbox/ACT_Health_JOP_replication_file/3.Tables and Figures/Tables/TableJ1.tex"':/Users/fredericcochinard/Dropbox/ACT_Health_JOP_replication_file/3.Tables and Figures/Tables/TableJ1.tex})
{res}{txt}
{com}.         
. 
{txt}end of do-file

{com}. do "/var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//SD44938.000000"
{txt}
{com}. 
.         * Purpose: Importing data to run HFC
.         
.         * Setting up globals
.         
.         if "`c(username)'" == "fredericcochinard" {c -(}
.                 
.                 global import_folder "/Users/fredericcochinard/Dropbox/Expert survey/Data/0.survey_dataset/0.import"
.                 global output "/Users/fredericcochinard/Dropbox/Expert survey/Data/0.survey_dataset/1.output"
.                 
.                 {c )-}
{txt}
{com}.                 
.         if "`c(username)'" == "" {c -(}
.         
.                 
.                 {c )-}
{txt}
{com}.         
.         * Looking for renaming folder with problem
.         
.         local myfiles: dir "$import_folder" files "*.xlsx"
{txt}
{com}. 
.         foreach file of local myfiles {c -(}
{txt}  2{com}.                 
.                 local subfile = substr("`file'", 1, .)
{txt}  3{com}.                 local subfile : subinstr local subfile " " "_", all
{txt}  4{com}.                 ! mv "${c -(}import_folder{c )-}/`file'" "${c -(}import_folder{c )-}/`subfile'"
{txt}  5{com}.                 
.                 {c )-}
{txt}

{com}.         
.         * Looking for dataset
.         
.         filelist , dir("$import_folder") pat("*.xlsx")
{res}{txt}Number of files found = {res}1
{txt}
{com}.         
.         gen url = filename
{txt}
{com}.         
.         levelsof url
{txt}`"Expert_survey_February_18,_2025_16.23.xlsx"'

{com}. 
.         local lvlfiles `r(levels)'
{txt}
{com}.         
.         local z = 0
{txt}
{com}.         
.         foreach lvl of local lvlfiles {c -(}
{txt}  2{com}.         
.                 local z = `z' + 1
{txt}  3{com}.                 
.                 local temp : subinstr local lvl `"""' "", all
{txt}  4{com}.                 local url : subinstr local temp "'" "", all
{txt}  5{com}.         
.                 import excel "${c -(}import_folder{c )-}/`url'", first case(lower) clear
{txt}  6{com}.                 
.                 gen num = _n
{txt}  7{com}.                 drop if num == 1
{txt}  8{com}.                 
.                 * Preparing the append
.                 
.                 tempfile data`z'
{txt}  9{com}.                 sa "`data`z''"
{txt} 10{com}.                 
.                 {c )-}
{res}{txt}(1 observation deleted)
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.000001 saved

{com}.                 
.         * We append the dataset to start cleaning
.         
.         use "`data1'", clear
{txt}
{com}.         
.         forvalues x = 2/`z' {c -(}
{txt}  2{com}.         
.                 append using "`data`x''"
{txt}  3{com}.                 
.                 {c )-}
{txt}
{com}.                 
.         duplicates drop

{p 0 4}{txt}Duplicates in terms of {txt} all variables{p_end}

(0 observations are duplicates)

{com}.         e

{txt}end of do-file


{com}. do "/var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//SD44938.000000"
{txt}
{com}. 
.         * Purpose: Importing data to run HFC
.         
.         * Setting up globals
.         
.         if "`c(username)'" == "fredericcochinard" {c -(}
.                 
.                 global import_folder "/Users/fredericcochinard/Dropbox/Expert survey/Data/0.survey_dataset/0.import"
.                 global output "/Users/fredericcochinard/Dropbox/Expert survey/Data/0.survey_dataset/1.output"
.                 
.                 {c )-}
{txt}
{com}.                 
.         if "`c(username)'" == "" {c -(}
.         
.                 
.                 {c )-}
{txt}
{com}.         
.         * Looking for renaming folder with problem
.         
.         local myfiles: dir "$import_folder" files "*.xlsx"
{txt}
{com}. 
.         foreach file of local myfiles {c -(}
{txt}  2{com}.                 
.                 local subfile = substr("`file'", 1, .)
{txt}  3{com}.                 local subfile : subinstr local subfile " " "_", all
{txt}  4{com}.                 ! mv "${c -(}import_folder{c )-}/`file'" "${c -(}import_folder{c )-}/`subfile'"
{txt}  5{com}.                 
.                 {c )-}
{txt}

{com}.         
.         * Looking for dataset
.         
.         filelist , dir("$import_folder") pat("*.xlsx")
{res}{txt}Number of files found = {res}1
{txt}
{com}.         
.         gen url = filename
{txt}
{com}.         
.         levelsof url
{txt}`"Expert_survey_February_18,_2025_16.23.xlsx"'

{com}. 
.         local lvlfiles `r(levels)'
{txt}
{com}.         
.         local z = 0
{txt}
{com}.         
.         foreach lvl of local lvlfiles {c -(}
{txt}  2{com}.         
.                 local z = `z' + 1
{txt}  3{com}.                 
.                 local temp : subinstr local lvl `"""' "", all
{txt}  4{com}.                 local url : subinstr local temp "'" "", all
{txt}  5{com}.         
.                 import excel "${c -(}import_folder{c )-}/`url'", first case(lower) clear
{txt}  6{com}.                 
.                 gen num = _n
{txt}  7{com}.                 drop if num == 1
{txt}  8{com}.                 
.                 * Preparing the append
.                 
.                 tempfile data`z'
{txt}  9{com}.                 sa "`data`z''"
{txt} 10{com}.                 
.                 {c )-}
{res}{txt}(1 observation deleted)
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.000001 saved

{com}.                 
.         * We append the dataset to start cleaning
.         
.         use "`data1'", clear
{txt}
{com}.         
.         forvalues x = 2/`z' {c -(}
{txt}  2{com}.         
.                 append using "`data`x''"
{txt}  3{com}.                 
.                 {c )-}
{txt}
{com}.                 
.         duplicates drop

{p 0 4}{txt}Duplicates in terms of {txt} all variables{p_end}

(0 observations are duplicates)

{com}.         
.         * We keep relevant variable
.         drop if recipientemail == "frederic.cochinard@gmail.com"
{txt}(8 observations deleted)

{com}.         drop if recipientemail == "vedpant+spanish@college.harvard.edu"
{txt}(1 observation deleted)

{com}.         drop if recipientemail == "frederic.cochinard+3@gmail.com"
{txt}(1 observation deleted)

{com}.         drop if recipientemail == "frederic.cochinard+1@gmail.com"
{txt}(1 observation deleted)

{com}.         
.         * We remove observation that are not finished
.         drop if finished == "False"
{txt}(9 observations deleted)

{com}.         e

{txt}end of do-file


{com}. do "/var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//SD44938.000000"
{txt}
{com}. 
.         * Purpose: Importing data to run HFC
.         
.         * Setting up globals
.         
.         if "`c(username)'" == "fredericcochinard" {c -(}
.                 
.                 global import_folder "/Users/fredericcochinard/Dropbox/Expert survey/Data/0.survey_dataset/0.import"
.                 global output "/Users/fredericcochinard/Dropbox/Expert survey/Data/0.survey_dataset/1.output"
.                 
.                 {c )-}
{txt}
{com}.                 
.         if "`c(username)'" == "" {c -(}
.         
.                 
.                 {c )-}
{txt}
{com}.         
.         * Looking for renaming folder with problem
.         
.         local myfiles: dir "$import_folder" files "*.xlsx"
{txt}
{com}. 
.         foreach file of local myfiles {c -(}
{txt}  2{com}.                 
.                 local subfile = substr("`file'", 1, .)
{txt}  3{com}.                 local subfile : subinstr local subfile " " "_", all
{txt}  4{com}.                 ! mv "${c -(}import_folder{c )-}/`file'" "${c -(}import_folder{c )-}/`subfile'"
{txt}  5{com}.                 
.                 {c )-}
{txt}

{com}.         
.         * Looking for dataset
.         
.         filelist , dir("$import_folder") pat("*.xlsx")
{res}{txt}Number of files found = {res}1
{txt}
{com}.         
.         gen url = filename
{txt}
{com}.         
.         levelsof url
{txt}`"Expert_survey_February_18,_2025_16.23.xlsx"'

{com}. 
.         local lvlfiles `r(levels)'
{txt}
{com}.         
.         local z = 0
{txt}
{com}.         
.         foreach lvl of local lvlfiles {c -(}
{txt}  2{com}.         
.                 local z = `z' + 1
{txt}  3{com}.                 
.                 local temp : subinstr local lvl `"""' "", all
{txt}  4{com}.                 local url : subinstr local temp "'" "", all
{txt}  5{com}.         
.                 import excel "${c -(}import_folder{c )-}/`url'", first case(lower) clear
{txt}  6{com}.                 
.                 gen num = _n
{txt}  7{com}.                 drop if num == 1
{txt}  8{com}.                 
.                 * Preparing the append
.                 
.                 tempfile data`z'
{txt}  9{com}.                 sa "`data`z''"
{txt} 10{com}.                 
.                 {c )-}
{res}{txt}(1 observation deleted)
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.000001 saved

{com}.                 
.         * We append the dataset to start cleaning
.         
.         use "`data1'", clear
{txt}
{com}.         
.         forvalues x = 2/`z' {c -(}
{txt}  2{com}.         
.                 append using "`data`x''"
{txt}  3{com}.                 
.                 {c )-}
{txt}
{com}.                 
.         duplicates drop

{p 0 4}{txt}Duplicates in terms of {txt} all variables{p_end}

(0 observations are duplicates)

{com}.         
.         * We keep relevant variable
.         drop if recipientemail == "frederic.cochinard@gmail.com"
{txt}(8 observations deleted)

{com}.         drop if recipientemail == "vedpant+spanish@college.harvard.edu"
{txt}(1 observation deleted)

{com}.         drop if recipientemail == "frederic.cochinard+3@gmail.com"
{txt}(1 observation deleted)

{com}.         drop if recipientemail == "frederic.cochinard+1@gmail.com"
{txt}(1 observation deleted)

{com}.         
.         * We remove observation that are not finished
.         drop if finished == "False"
{txt}(9 observations deleted)

{com}.         
.         * We create a save
.         
.         tempfile save_data
{txt}
{com}.         sa "`save_data'"
{txt}file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.000002 saved

{com}.         
.         * Main form of survey 
.         keep country full_name recipientemail responseid progress durationinseconds finished userlanguage num_unit confirmation_* ///
>         title_bur* elecpol_ovrsee* title_elecpol* aptpol_d* title_aptpol* who_aptpol* mostinf_servdel* educ_elecpolbur* ///
>         educ_apolbur* slry_elecpolbur* slry_apolbur* fdout_epol_bgt* fdout_apol_bgt* budsect_epol* budsect_apol* acinfexp_epol* /// 
>         acinfexp_apol* understand_epol* understand_apol* acttake_epol* acttake_epol* acttake_apol* acttake_apol* likely* why_likchan* /// 
>         who_apt_bur* who_apt_bur* who_fir_bur* who_fir_bur* ocap_epol* ocap_apol* prio_epol* prio_apol* overall_conf* avg_educ_epol* ///
>         avg_educ_apol* avg_educ_buro* avg_slry_epol* avg_slry_apol* avg_slry_buro* //
{txt}
{com}.         
.         destring durationinseconds progress, replace
{txt}durationinseconds: all characters numeric; {res}replaced {txt}as {res}int
{txt}progress: all characters numeric; {res}replaced {txt}as {res}byte
{txt}
{com}.         replace durationinseconds = round(durationinseconds/60)
{txt}(11 real changes made)

{com}.         ren durationinseconds duration_minutes
{res}{txt}
{com}. 
.         *--
.         
.         local id country full_name recipientemail responseid userlanguage num_unit finished progress duration_minutes
{txt}
{com}.         
.         order `id', first
{txt}
{com}.         duplicates drop `id', force

{p 0 4}{txt}Duplicates in terms of {res} country full_name recipientemail responseid userlanguage num_unit finished progress duration_minutes{p_end}

{txt}(0 observations are duplicates)

{com}.         
.         * Renaming others
.         
.         forvalues x = 1/3 {c -(}
{txt}  2{com}.                 
.                 forvalues y = 1/6 {c -(} 
{txt}  3{com}.                 
.                         cap ren who_apt_bur_`x'_`y'_8_text who_apt_buroth_`x'_`y'
{txt}  4{com}.                         cap ren who_fir_bur_`x'_`y'_8_text who_fir_buroth_`x'_`y'
{txt}  5{com}.                         cap ren acttake_epol_`x'_`y'_9_text acttake_epoloth_`x'_`y'
{txt}  6{com}.                         cap ren acttake_apol_`x'_`y'_9_text acttake_apoloth_`x'_`y'
{txt}  7{com}.                         
.                         {c )-}
{txt}  8{com}.                         
.                 {c )-}
{txt}
{com}.         
.         #delimit ;
{txt}delimiter now ;
{com}.         local var confirmation
>         title_bur 
>         elecpol_ovrsee
>         title_elecpol
>         aptpol_d
>         title_aptpol
>         who_aptpol
>         mostinf_servdel
>         educ_elecpolbur
>         educ_apolbur
>         slry_elecpolbur
>         slry_apolbur
>         fdout_epol_bgt
>         fdout_apol_bgt
>         budsect_epol
>         budsect_apol
>         acinfexp_epol
>         acinfexp_apol
>         understand_epol
>         understand_apol
>         acttake_epol
>         acttake_epoloth
>         acttake_apol
>         acttake_apoloth
>         likely
>         why_likchan
>         who_apt_bur
>         who_apt_buroth
>         who_fir_bur
>         who_fir_buroth
>         ocap_epol
>         ocap_apol
>         prio_epol
>         prio_apol
>         overall_conf
>         avg_educ_epol
>         avg_educ_apol
>         avg_educ_buro
>         avg_slry_epol
>         avg_slry_apol
>         avg_slry_buro
>         
>         ;
{txt}
{com}.                 #delimit cr
{txt}delimiter now cr
{com}. 
.         reshape long `var', i(`id') j(pos) s
{txt}(note: j = _1_1 _1_4 _1_5 _1_6 _2_1 _2_2 _2_4 _2_5 _2_6 _3_1 _3_2 _3_3 _3_4 _3_5 _3_6)
(note: confirmation_1_4 not found)
(note: confirmation_1_5 not found)
(note: confirmation_1_6 not found)
(note: confirmation_2_4 not found)
(note: confirmation_2_5 not found)
(note: confirmation_2_6 not found)
(note: confirmation_3_4 not found)
(note: confirmation_3_5 not found)
(note: confirmation_3_6 not found)

Data{col 36}wide{col 43}->{col 48}long
{hline 77}
Number of obs.                 {res}      11   {txt}->{res}     165
{txt}Number of variables            {res}     615   {txt}->{res}      51
{txt}j variable (15 values)                    ->   {res}pos
{txt}xij variables:
{res}confirmation_1_1 confirmation_1_4 ... confirmation_3_6{txt}->{res}confirmation
title_bur_1_1 title_bur_1_4 ... title_bur_3_6{txt}->{res}title_bur
elecpol_ovrsee_1_1 elecpol_ovrsee_1_4 ... elecpol_ovrsee_3_6{txt}->{res}elecpol_ovrsee
title_elecpol_1_1 title_elecpol_1_4 ... title_elecpol_3_6{txt}->{res}title_elecpol
aptpol_d_1_1 aptpol_d_1_4 ... aptpol_d_3_6{txt}->   {res}aptpol_d
title_aptpol_1_1 title_aptpol_1_4 ... title_aptpol_3_6{txt}->{res}title_aptpol
who_aptpol_1_1 who_aptpol_1_4 ... who_aptpol_3_6{txt}->{res}who_aptpol
mostinf_servdel_1_1 mostinf_servdel_1_4 ... mostinf_servdel_3_6{txt}->{res}mostinf_servdel
educ_elecpolbur_1_1 educ_elecpolbur_1_4 ... educ_elecpolbur_3_6{txt}->{res}educ_elecpolbur
educ_apolbur_1_1 educ_apolbur_1_4 ... educ_apolbur_3_6{txt}->{res}educ_apolbur
slry_elecpolbur_1_1 slry_elecpolbur_1_4 ... slry_elecpolbur_3_6{txt}->{res}slry_elecpolbur
slry_apolbur_1_1 slry_apolbur_1_4 ... slry_apolbur_3_6{txt}->{res}slry_apolbur
fdout_epol_bgt_1_1 fdout_epol_bgt_1_4 ... fdout_epol_bgt_3_6{txt}->{res}fdout_epol_bgt
fdout_apol_bgt_1_1 fdout_apol_bgt_1_4 ... fdout_apol_bgt_3_6{txt}->{res}fdout_apol_bgt
budsect_epol_1_1 budsect_epol_1_4 ... budsect_epol_3_6{txt}->{res}budsect_epol
budsect_apol_1_1 budsect_apol_1_4 ... budsect_apol_3_6{txt}->{res}budsect_apol
acinfexp_epol_1_1 acinfexp_epol_1_4 ... acinfexp_epol_3_6{txt}->{res}acinfexp_epol
acinfexp_apol_1_1 acinfexp_apol_1_4 ... acinfexp_apol_3_6{txt}->{res}acinfexp_apol
understand_epol_1_1 understand_epol_1_4 ... understand_epol_3_6{txt}->{res}understand_epol
understand_apol_1_1 understand_apol_1_4 ... understand_apol_3_6{txt}->{res}understand_apol
acttake_epol_1_1 acttake_epol_1_4 ... acttake_epol_3_6{txt}->{res}acttake_epol
acttake_epoloth_1_1 acttake_epoloth_1_4 ... acttake_epoloth_3_6{txt}->{res}acttake_epoloth
acttake_apol_1_1 acttake_apol_1_4 ... acttake_apol_3_6{txt}->{res}acttake_apol
acttake_apoloth_1_1 acttake_apoloth_1_4 ... acttake_apoloth_3_6{txt}->{res}acttake_apoloth
   likely_1_1 likely_1_4 ... likely_3_6   {txt}->   {res}likely
why_likchan_1_1 why_likchan_1_4 ... why_likchan_3_6{txt}->{res}why_likchan
who_apt_bur_1_1 who_apt_bur_1_4 ... who_apt_bur_3_6{txt}->{res}who_apt_bur
who_apt_buroth_1_1 who_apt_buroth_1_4 ... who_apt_buroth_3_6{txt}->{res}who_apt_buroth
who_fir_bur_1_1 who_fir_bur_1_4 ... who_fir_bur_3_6{txt}->{res}who_fir_bur
who_fir_buroth_1_1 who_fir_buroth_1_4 ... who_fir_buroth_3_6{txt}->{res}who_fir_buroth
ocap_epol_1_1 ocap_epol_1_4 ... ocap_epol_3_6{txt}->{res}ocap_epol
ocap_apol_1_1 ocap_apol_1_4 ... ocap_apol_3_6{txt}->{res}ocap_apol
prio_epol_1_1 prio_epol_1_4 ... prio_epol_3_6{txt}->{res}prio_epol
prio_apol_1_1 prio_apol_1_4 ... prio_apol_3_6{txt}->{res}prio_apol
overall_conf_1_1 overall_conf_1_4 ... overall_conf_3_6{txt}->{res}overall_conf
avg_educ_epol_1_1 avg_educ_epol_1_4 ... avg_educ_epol_3_6{txt}->{res}avg_educ_epol
avg_educ_apol_1_1 avg_educ_apol_1_4 ... avg_educ_apol_3_6{txt}->{res}avg_educ_apol
avg_educ_buro_1_1 avg_educ_buro_1_4 ... avg_educ_buro_3_6{txt}->{res}avg_educ_buro
avg_slry_epol_1_1 avg_slry_epol_1_4 ... avg_slry_epol_3_6{txt}->{res}avg_slry_epol
avg_slry_apol_1_1 avg_slry_apol_1_4 ... avg_slry_apol_3_6{txt}->{res}avg_slry_apol
avg_slry_buro_1_1 avg_slry_buro_1_4 ... avg_slry_buro_3_6{txt}->{res}avg_slry_buro
{txt}{hline 77}

{com}.         
.         * Filter data
.         
.         split pos, p("_")
{res}variables created as string: 
{txt}{col 1}pos1{col 7}pos2{col 13}pos3

{com}.         
.         drop pos1
{txt}
{com}.         ren pos2 case_n_unit
{res}{txt}
{com}.         ren pos3 unit_num
{res}{txt}
{com}.         destring case_n_unit unit_num, replace
{txt}case_n_unit: all characters numeric; {res}replaced {txt}as {res}byte
{txt}unit_num: all characters numeric; {res}replaced {txt}as {res}byte
{txt}
{com}.         order case_n_unit unit_num, after(duration_minutes)
{txt}
{com}.         drop pos
{txt}
{com}.         
.         destring num_unit, replace
{txt}num_unit: all characters numeric; {res}replaced {txt}as {res}byte
{txt}
{com}.         drop if num_unit != case_n_unit
{txt}(104 observations deleted)

{com}.         drop num_unit
{txt}
{com}.         
.         compress
  {txt}variable {bf}country{sf} was {bf}{res}str15{sf}{txt} now {bf}{res}str11{sf}
  {txt}variable {bf}full_name{sf} was {bf}{res}str28{sf}{txt} now {bf}{res}str23{sf}
  {txt}variable {bf}recipientemail{sf} was {bf}{res}str35{sf}{txt} now {bf}{res}str32{sf}
  {txt}variable {bf}userlanguage{sf} was {bf}{res}str13{sf}{txt} now {bf}{res}str2{sf}
  {txt}variable {bf}finished{sf} was {bf}{res}str8{sf}{txt} now {bf}{res}str4{sf}
  {txt}variable {bf}title_bur{sf} was {bf}{res}str448{sf}{txt} now {bf}{res}str235{sf}
  {txt}variable {bf}elecpol_ovrsee{sf} was {bf}{res}str352{sf}{txt} now {bf}{res}str3{sf}
  {txt}variable {bf}title_elecpol{sf} was {bf}{res}str312{sf}{txt} now {bf}{res}str288{sf}
  {txt}variable {bf}aptpol_d{sf} was {bf}{res}str332{sf}{txt} now {bf}{res}str30{sf}
  {txt}variable {bf}who_aptpol{sf} was {bf}{res}str96{sf}{txt} now {bf}{res}str84{sf}
  {txt}variable {bf}mostinf_servdel{sf} was {bf}{res}str256{sf}{txt} now {bf}{res}str44{sf}
  {txt}variable {bf}educ_elecpolbur{sf} was {bf}{res}str258{sf}{txt} now {bf}{res}str51{sf}
  {txt}variable {bf}educ_apolbur{sf} was {bf}{res}str260{sf}{txt} now {bf}{res}str1{sf}
  {txt}variable {bf}slry_elecpolbur{sf} was {bf}{res}str316{sf}{txt} now {bf}{res}str47{sf}
  {txt}variable {bf}slry_apolbur{sf} was {bf}{res}str318{sf}{txt} now {bf}{res}str1{sf}
  {txt}variable {bf}fdout_epol_bgt{sf} was {bf}{res}str373{sf}{txt} now {bf}{res}str19{sf}
  {txt}variable {bf}fdout_apol_bgt{sf} was {bf}{res}str375{sf}{txt} now {bf}{res}str1{sf}
  {txt}variable {bf}budsect_epol{sf} was {bf}{res}str217{sf}{txt} now {bf}{res}str19{sf}
  {txt}variable {bf}budsect_apol{sf} was {bf}{res}str219{sf}{txt} now {bf}{res}str1{sf}
  {txt}variable {bf}acinfexp_epol{sf} was {bf}{res}str216{sf}{txt} now {bf}{res}str19{sf}
  {txt}variable {bf}acinfexp_apol{sf} was {bf}{res}str218{sf}{txt} now {bf}{res}str1{sf}
  {txt}variable {bf}understand_epol{sf} was {bf}{res}str214{sf}{txt} now {bf}{res}str21{sf}
  {txt}variable {bf}understand_apol{sf} was {bf}{res}str216{sf}{txt} now {bf}{res}str21{sf}
  {txt}variable {bf}acttake_epol{sf} was {bf}{res}str247{sf}{txt} now {bf}{res}str163{sf}
  {txt}variable {bf}acttake_epoloth{sf} was {bf}{res}str261{sf}{txt} now {bf}{res}str63{sf}
  {txt}variable {bf}acttake_apol{sf} was {bf}{res}str250{sf}{txt} now {bf}{res}str1{sf}
  {txt}variable {bf}acttake_apoloth{sf} was {bf}{res}str264{sf}{txt} now {bf}{res}str1{sf}
  {txt}variable {bf}likely{sf} was {bf}{res}str159{sf}{txt} now {bf}{res}str18{sf}
  {txt}variable {bf}who_apt_bur{sf} was {bf}{res}str126{sf}{txt} now {bf}{res}str64{sf}
  {txt}variable {bf}who_fir_bur{sf} was {bf}{res}str120{sf}{txt} now {bf}{res}str64{sf}
  {txt}variable {bf}who_fir_buroth{sf} was {bf}{res}str134{sf}{txt} now {bf}{res}str77{sf}
  {txt}variable {bf}ocap_epol{sf} was {bf}{res}str359{sf}{txt} now {bf}{res}str55{sf}
  {txt}variable {bf}ocap_apol{sf} was {bf}{res}str361{sf}{txt} now {bf}{res}str1{sf}
  {txt}variable {bf}prio_epol{sf} was {bf}{res}str209{sf}{txt} now {bf}{res}str73{sf}
  {txt}variable {bf}prio_apol{sf} was {bf}{res}str211{sf}{txt} now {bf}{res}str1{sf}
  {txt}variable {bf}overall_conf{sf} was {bf}{res}str191{sf}{txt} now {bf}{res}str17{sf}
  {txt}variable {bf}avg_educ_buro{sf} was {bf}{res}str117{sf}{txt} now {bf}{res}str101{sf}
  {txt}variable {bf}avg_slry_apol{sf} was {bf}{res}str134{sf}{txt} now {bf}{res}str128{sf}
  {txt}variable {bf}avg_slry_buro{sf} was {bf}{res}str134{sf}{txt} now {bf}{res}str87{sf}
  {txt}variable {bf}confirmation{sf} was {bf}{res}str1148{sf}{txt} now {bf}{res}str63{sf}
{txt}  (462,685 bytes saved)

{com}.         
.         * We edit the label 
.         
.         lab var country "Country"
{txt}
{com}.         lab var full_name  "Full name of recipient"
{txt}
{com}.         lab var recipientemail "Recipient email"
{txt}
{com}.         lab var userlanguage "Language used to answer"
{txt}
{com}.         lab var finished "Completion status"
{txt}
{com}.         lab var progress "Progress"
{txt}
{com}.         lab var duration_minutes "Duration in minutes"
{txt}
{com}.         lab var case_n_unit "Original number of entities"
{txt}
{com}.         lab var unit_num "Unit number"
{txt}
{com}.         
.         * Confirmation
.         
.         fre confirmation
{res}
{txt}confirmation
{txt}{hline 13}{hline 1}{c TT}{hline 44}
{txt}        {txt}      {c |}      Freq.    Percent      Valid       Cum.
{txt}{hline 13}{hline 1}{c +}{hline 44}
{txt}Valid   No,   {c |}{res}          2       3.28       7.14       7.14
{txt}        this  {c |}{res}                                            
{txt}        is    {c |}{res}                                            
{txt}        inacc {c |}{res}                                            
{txt}        urate {c |}{res}                                            
{txt}        .     {c |}{res}                                            
{txt}        This  {c |}{res}                                            
{txt}        level {c |}{res}                                            
{txt}        needs {c |}{res}                                            
{txt}        to be {c |}{res}                                            
{txt}        repla {c |}{res}                                            
{txt}        ced/d {c |}{res}                                            
{txt}        elete {c |}{res}                                            
{txt}        d     {c |}{res}                                            
{txt}        No,   {c |}{res}          2       3.28       7.14      14.29
{txt}        this  {c |}{res}                                            
{txt}        level {c |}{res}                                            
{txt}        needs {c |}{res}                                            
{txt}        to be {c |}{res}                                            
{txt}        repla {c |}{res}                                            
{txt}        ced/d {c |}{res}                                            
{txt}        elete {c |}{res}                                            
{txt}        d     {c |}{res}                                            
{txt}        Yes,  {c |}{res}         24      39.34      85.71     100.00
{txt}        this  {c |}{res}                                            
{txt}        is    {c |}{res}                                            
{txt}        accur {c |}{res}                                            
{txt}        ate   {c |}{res}                                            
{txt}        Total {c |}{res}         28      45.90     100.00           
{txt}Missing       {c |}{res}         33      54.10                      
{txt}Total         {c |}{res}         61     100.00                      
{txt}{hline 13}{hline 1}{c BT}{hline 44}

{com}.         replace confirmation = "1" if confirmation == "Yes, this is accurate"
{txt}(24 real changes made)

{com}.         replace confirmation = "0" if regexm(confirmation,"No")
{txt}(4 real changes made)

{com}.         destring confirmation, replace
{txt}confirmation: all characters numeric; {res}replaced {txt}as {res}byte
{txt}(33 missing values generated)
{res}{txt}
{com}.         
.         lab var confirmation "Confirmation of adequacy of unit"
{txt}
{com}.         lab def confirmation 0 "No, this is not accurate. It should be replaced/deleted" 1 "Yes, this is accurate"
{txt}
{com}.         lab val confirmation confirmation
{txt}
{com}.         
.         fre confirmation
{res}
{txt}confirmation {hline 2} Confirmation of adequacy of unit
{txt}{hline 13}{hline 1}{c TT}{hline 44}
{txt}        {txt}      {c |}      Freq.    Percent      Valid       Cum.
{txt}{hline 13}{hline 1}{c +}{hline 44}
{txt}Valid   0 No, {c |}{res}          4       6.56      14.29      14.29
{txt}          thi {c |}{res}                                            
{txt}          s   {c |}{res}                                            
{txt}          is  {c |}{res}                                            
{txt}          not {c |}{res}                                            
{txt}          acc {c |}{res}                                            
{txt}          ura {c |}{res}                                            
{txt}          te. {c |}{res}                                            
{txt}          It  {c |}{res}                                            
{txt}          sho {c |}{res}                                            
{txt}          uld {c |}{res}                                            
{txt}          be  {c |}{res}                                            
{txt}          rep {c |}{res}                                            
{txt}          lac {c |}{res}                                            
{txt}          ed/ {c |}{res}                                            
{txt}          del {c |}{res}                                            
{txt}          ete {c |}{res}                                            
{txt}          d   {c |}{res}                                            
{txt}        1 Yes {c |}{res}         24      39.34      85.71     100.00
{txt}          ,   {c |}{res}                                            
{txt}          thi {c |}{res}                                            
{txt}          s   {c |}{res}                                            
{txt}          is  {c |}{res}                                            
{txt}          acc {c |}{res}                                            
{txt}          ura {c |}{res}                                            
{txt}          te  {c |}{res}                                            
{txt}        Total {c |}{res}         28      45.90     100.00           
{txt}Missing .     {c |}{res}         33      54.10                      
{txt}Total         {c |}{res}         61     100.00                      
{txt}{hline 13}{hline 1}{c BT}{hline 44}

{com}.         
.         order confirmation, after(unit_num)
{txt}
{com}.         
.         * Creating variable about asked_survey (should be updated)
.         
.         gen asked_survey = 0
{txt}
{com}.         replace asked_survey = 1 if confirmation == 1
{txt}(24 real changes made)

{com}.         lab var asked_survey "Survey question asked to respondent"
{txt}
{com}.         lab def yesno 0 "No" 1 "Yes"
{txt}
{com}.         lab val asked_survey yesno
{txt}
{com}.         order asked_survey, after(confirmation)
{txt}
{com}.         
.         * title_bur
.         
.         lab var title_bur "Title of the highest-level bureaucrat in unit"
{txt}
{com}.         
.         gen test_title_bur = (title_bur != "")
{txt}
{com}.         replace test_title_bur = . if asked_survey == 0
{txt}(37 real changes made, 37 to missing)

{com}.         fre test_title_bur
{res}
{txt}test_title_bur
{txt}{hline 9}{hline 1}{c TT}{hline 44}
{txt}        {txt}  {c |}      Freq.    Percent      Valid       Cum.
{txt}{hline 9}{hline 1}{c +}{hline 44}
{txt}Valid   1 {c |}{res}         24      39.34     100.00     100.00
{txt}Missing . {c |}{res}         37      60.66                      
{txt}Total     {c |}{res}         61     100.00                      
{txt}{hline 9}{hline 1}{c BT}{hline 44}

{com}.         assert inlist(test_title_bur,.,1)
{txt}
{com}.         
.         drop test_title_bur
{txt}
{com}.         
.         * elecpol_ovrsee
.         
.         lab var elecpol_ovrsee "Any politicians in unit overseeing service delivery"
{txt}
{com}.         replace elecpol_ovrsee = "0" if elecpol_ovrsee == "No"
{txt}(2 real changes made)

{com}.         replace elecpol_ovrsee = "1" if elecpol_ovrsee == "Yes"
{txt}(23 real changes made)

{com}.         destring elecpol_ovrsee, replace
{txt}elecpol_ovrsee: all characters numeric; {res}replaced {txt}as {res}byte
{txt}(36 missing values generated)
{res}{txt}
{com}.         lab val elecpol_ovrsee yesno
{txt}
{com}.         
.         fre elecpol_ovrsee
{res}
{txt}elecpol_ovrsee {hline 2} Any politicians in unit overseeing service delivery
{txt}{hline 13}{hline 1}{c TT}{hline 44}
{txt}        {txt}      {c |}      Freq.    Percent      Valid       Cum.
{txt}{hline 13}{hline 1}{c +}{hline 44}
{txt}Valid   0 No  {c |}{res}          2       3.28       8.00       8.00
{txt}        1 Yes {c |}{res}         23      37.70      92.00     100.00
{txt}        Total {c |}{res}         25      40.98     100.00           
{txt}Missing .     {c |}{res}         36      59.02                      
{txt}Total         {c |}{res}         61     100.00                      
{txt}{hline 13}{hline 1}{c BT}{hline 44}

{com}.         
.         gen test_elecpol_ovrsee = (elecpol_ovrsee != .)
{txt}
{com}.         replace test_elecpol_ovrsee = . if asked_survey == 0
{txt}(37 real changes made, 37 to missing)

{com}.         fre test_elecpol_ovrsee
{res}
{txt}test_elecpol_ovrsee
{txt}{hline 9}{hline 1}{c TT}{hline 44}
{txt}        {txt}  {c |}      Freq.    Percent      Valid       Cum.
{txt}{hline 9}{hline 1}{c +}{hline 44}
{txt}Valid   1 {c |}{res}         24      39.34     100.00     100.00
{txt}Missing . {c |}{res}         37      60.66                      
{txt}Total     {c |}{res}         61     100.00                      
{txt}{hline 9}{hline 1}{c BT}{hline 44}

{com}.         assert inlist(test_elecpol_ovrsee,.,1)
{txt}
{com}.         
.         drop test_elecpol_ovrsee
{txt}
{com}.         
.         * title_elecpol
.         
.         lab var title_elecpol "Title of the highest-level elected politician in unit"
{txt}
{com}.         
.         gen test_title_elecpol = (title_elecpol != "")
{txt}
{com}.         replace test_title_elecpol = . if asked_survey == 0
{txt}(37 real changes made, 37 to missing)

{com}.         replace test_title_elecpol = . if elecpol_ovrsee == 0
{txt}(1 real change made, 1 to missing)

{com}.         fre test_title_elecpol
{res}
{txt}test_title_elecpol
{txt}{hline 9}{hline 1}{c TT}{hline 44}
{txt}        {txt}  {c |}      Freq.    Percent      Valid       Cum.
{txt}{hline 9}{hline 1}{c +}{hline 44}
{txt}Valid   1 {c |}{res}         23      37.70     100.00     100.00
{txt}Missing . {c |}{res}         38      62.30                      
{txt}Total     {c |}{res}         61     100.00                      
{txt}{hline 9}{hline 1}{c BT}{hline 44}

{com}.         assert inlist(test_title_elecpol,.,1)
{txt}
{com}.         
.         drop test_title_elecpol
{txt}
{com}.         
.         * aptpol_d
.         
.         lab var aptpol_d "Politician appointed by higher politician in unit"
{txt}
{com}.         replace aptpol_d = "0" if aptpol_d == "No"
{txt}(15 real changes made)

{com}.         replace aptpol_d = "1" if aptpol_d == "Yes"
{txt}(9 real changes made)

{com}.         destring aptpol_d, replace
{txt}aptpol_d: contains nonnumeric characters; no {res}replace
{txt}
{com}.         lab val aptpol_d yesno
{err}may not label strings
{txt}{search r(181), local:r(181);}

end of do-file

{search r(181), local:r(181);}

{com}. do "/var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//SD44938.000000"
{txt}
{com}. 
.         * Purpose: Importing data to run HFC
.         
.         * Setting up globals
.         
.         if "`c(username)'" == "fredericcochinard" {c -(}
.                 
.                 global import_folder "/Users/fredericcochinard/Dropbox/Expert survey/Data/0.survey_dataset/0.import"
.                 global output "/Users/fredericcochinard/Dropbox/Expert survey/Data/0.survey_dataset/1.output"
.                 
.                 {c )-}
{txt}
{com}.                 
.         if "`c(username)'" == "" {c -(}
.         
.                 
.                 {c )-}
{txt}
{com}.         
.         * Looking for renaming folder with problem
.         
.         local myfiles: dir "$import_folder" files "*.xlsx"
{txt}
{com}. 
.         foreach file of local myfiles {c -(}
{txt}  2{com}.                 
.                 local subfile = substr("`file'", 1, .)
{txt}  3{com}.                 local subfile : subinstr local subfile " " "_", all
{txt}  4{com}.                 ! mv "${c -(}import_folder{c )-}/`file'" "${c -(}import_folder{c )-}/`subfile'"
{txt}  5{com}.                 
.                 {c )-}
{txt}

{com}.         
.         * Looking for dataset
.         
.         filelist , dir("$import_folder") pat("*.xlsx")
{res}{txt}Number of files found = {res}1
{txt}
{com}.         
.         gen url = filename
{txt}
{com}.         
.         levelsof url
{txt}`"Expert_survey_February_18,_2025_16.23.xlsx"'

{com}. 
.         local lvlfiles `r(levels)'
{txt}
{com}.         
.         local z = 0
{txt}
{com}.         
.         foreach lvl of local lvlfiles {c -(}
{txt}  2{com}.         
.                 local z = `z' + 1
{txt}  3{com}.                 
.                 local temp : subinstr local lvl `"""' "", all
{txt}  4{com}.                 local url : subinstr local temp "'" "", all
{txt}  5{com}.         
.                 import excel "${c -(}import_folder{c )-}/`url'", first case(lower) clear
{txt}  6{com}.                 
.                 gen num = _n
{txt}  7{com}.                 drop if num == 1
{txt}  8{com}.                 
.                 * Preparing the append
.                 
.                 tempfile data`z'
{txt}  9{com}.                 sa "`data`z''"
{txt} 10{com}.                 
.                 {c )-}
{res}{txt}(1 observation deleted)
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.000001 saved

{com}.                 
.         * We append the dataset to start cleaning
.         
.         use "`data1'", clear
{txt}
{com}.         
.         forvalues x = 2/`z' {c -(}
{txt}  2{com}.         
.                 append using "`data`x''"
{txt}  3{com}.                 
.                 {c )-}
{txt}
{com}.                 
.         duplicates drop

{p 0 4}{txt}Duplicates in terms of {txt} all variables{p_end}

(0 observations are duplicates)

{com}.         
.         * We keep relevant variable
.         drop if recipientemail == "frederic.cochinard@gmail.com"
{txt}(8 observations deleted)

{com}.         drop if recipientemail == "vedpant+spanish@college.harvard.edu"
{txt}(1 observation deleted)

{com}.         drop if recipientemail == "frederic.cochinard+3@gmail.com"
{txt}(1 observation deleted)

{com}.         drop if recipientemail == "frederic.cochinard+1@gmail.com"
{txt}(1 observation deleted)

{com}.         
.         * We remove observation that are not finished
.         drop if finished == "False"
{txt}(9 observations deleted)

{com}.         
.         * We create a save
.         
.         tempfile save_data
{txt}
{com}.         sa "`save_data'"
{txt}file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.000002 saved

{com}.         
.         * Main form of survey 
.         keep country full_name recipientemail responseid progress durationinseconds finished userlanguage num_unit confirmation_* ///
>         title_bur* elecpol_ovrsee* title_elecpol* aptpol_d* title_aptpol* who_aptpol* mostinf_servdel* educ_elecpolbur* ///
>         educ_apolbur* slry_elecpolbur* slry_apolbur* fdout_epol_bgt* fdout_apol_bgt* budsect_epol* budsect_apol* acinfexp_epol* /// 
>         acinfexp_apol* understand_epol* understand_apol* acttake_epol* acttake_epol* acttake_apol* acttake_apol* likely* why_likchan* /// 
>         who_apt_bur* who_apt_bur* who_fir_bur* who_fir_bur* ocap_epol* ocap_apol* prio_epol* prio_apol* overall_conf* avg_educ_epol* ///
>         avg_educ_apol* avg_educ_buro* avg_slry_epol* avg_slry_apol* avg_slry_buro* //
{txt}
{com}.         
.         destring durationinseconds progress, replace
{txt}durationinseconds: all characters numeric; {res}replaced {txt}as {res}int
{txt}progress: all characters numeric; {res}replaced {txt}as {res}byte
{txt}
{com}.         replace durationinseconds = round(durationinseconds/60)
{txt}(11 real changes made)

{com}.         ren durationinseconds duration_minutes
{res}{txt}
{com}. 
.         *--
.         
.         local id country full_name recipientemail responseid userlanguage num_unit finished progress duration_minutes
{txt}
{com}.         
.         order `id', first
{txt}
{com}.         duplicates drop `id', force

{p 0 4}{txt}Duplicates in terms of {res} country full_name recipientemail responseid userlanguage num_unit finished progress duration_minutes{p_end}

{txt}(0 observations are duplicates)

{com}.         
.         * Renaming others
.         
.         forvalues x = 1/3 {c -(}
{txt}  2{com}.                 
.                 forvalues y = 1/6 {c -(} 
{txt}  3{com}.                 
.                         cap ren who_apt_bur_`x'_`y'_8_text who_apt_buroth_`x'_`y'
{txt}  4{com}.                         cap ren who_fir_bur_`x'_`y'_8_text who_fir_buroth_`x'_`y'
{txt}  5{com}.                         cap ren acttake_epol_`x'_`y'_9_text acttake_epoloth_`x'_`y'
{txt}  6{com}.                         cap ren acttake_apol_`x'_`y'_9_text acttake_apoloth_`x'_`y'
{txt}  7{com}.                         
.                         {c )-}
{txt}  8{com}.                         
.                 {c )-}
{txt}
{com}.         
.         #delimit ;
{txt}delimiter now ;
{com}.         local var confirmation
>         title_bur 
>         elecpol_ovrsee
>         title_elecpol
>         aptpol_d
>         title_aptpol
>         who_aptpol
>         mostinf_servdel
>         educ_elecpolbur
>         educ_apolbur
>         slry_elecpolbur
>         slry_apolbur
>         fdout_epol_bgt
>         fdout_apol_bgt
>         budsect_epol
>         budsect_apol
>         acinfexp_epol
>         acinfexp_apol
>         understand_epol
>         understand_apol
>         acttake_epol
>         acttake_epoloth
>         acttake_apol
>         acttake_apoloth
>         likely
>         why_likchan
>         who_apt_bur
>         who_apt_buroth
>         who_fir_bur
>         who_fir_buroth
>         ocap_epol
>         ocap_apol
>         prio_epol
>         prio_apol
>         overall_conf
>         avg_educ_epol
>         avg_educ_apol
>         avg_educ_buro
>         avg_slry_epol
>         avg_slry_apol
>         avg_slry_buro
>         
>         ;
{txt}
{com}.                 #delimit cr
{txt}delimiter now cr
{com}. 
.         reshape long `var', i(`id') j(pos) s
{txt}(note: j = _1_1 _1_4 _1_5 _1_6 _2_1 _2_2 _2_4 _2_5 _2_6 _3_1 _3_2 _3_3 _3_4 _3_5 _3_6)
(note: confirmation_1_4 not found)
(note: confirmation_1_5 not found)
(note: confirmation_1_6 not found)
(note: confirmation_2_4 not found)
(note: confirmation_2_5 not found)
(note: confirmation_2_6 not found)
(note: confirmation_3_4 not found)
(note: confirmation_3_5 not found)
(note: confirmation_3_6 not found)

Data{col 36}wide{col 43}->{col 48}long
{hline 77}
Number of obs.                 {res}      11   {txt}->{res}     165
{txt}Number of variables            {res}     615   {txt}->{res}      51
{txt}j variable (15 values)                    ->   {res}pos
{txt}xij variables:
{res}confirmation_1_1 confirmation_1_4 ... confirmation_3_6{txt}->{res}confirmation
title_bur_1_1 title_bur_1_4 ... title_bur_3_6{txt}->{res}title_bur
elecpol_ovrsee_1_1 elecpol_ovrsee_1_4 ... elecpol_ovrsee_3_6{txt}->{res}elecpol_ovrsee
title_elecpol_1_1 title_elecpol_1_4 ... title_elecpol_3_6{txt}->{res}title_elecpol
aptpol_d_1_1 aptpol_d_1_4 ... aptpol_d_3_6{txt}->   {res}aptpol_d
title_aptpol_1_1 title_aptpol_1_4 ... title_aptpol_3_6{txt}->{res}title_aptpol
who_aptpol_1_1 who_aptpol_1_4 ... who_aptpol_3_6{txt}->{res}who_aptpol
mostinf_servdel_1_1 mostinf_servdel_1_4 ... mostinf_servdel_3_6{txt}->{res}mostinf_servdel
educ_elecpolbur_1_1 educ_elecpolbur_1_4 ... educ_elecpolbur_3_6{txt}->{res}educ_elecpolbur
educ_apolbur_1_1 educ_apolbur_1_4 ... educ_apolbur_3_6{txt}->{res}educ_apolbur
slry_elecpolbur_1_1 slry_elecpolbur_1_4 ... slry_elecpolbur_3_6{txt}->{res}slry_elecpolbur
slry_apolbur_1_1 slry_apolbur_1_4 ... slry_apolbur_3_6{txt}->{res}slry_apolbur
fdout_epol_bgt_1_1 fdout_epol_bgt_1_4 ... fdout_epol_bgt_3_6{txt}->{res}fdout_epol_bgt
fdout_apol_bgt_1_1 fdout_apol_bgt_1_4 ... fdout_apol_bgt_3_6{txt}->{res}fdout_apol_bgt
budsect_epol_1_1 budsect_epol_1_4 ... budsect_epol_3_6{txt}->{res}budsect_epol
budsect_apol_1_1 budsect_apol_1_4 ... budsect_apol_3_6{txt}->{res}budsect_apol
acinfexp_epol_1_1 acinfexp_epol_1_4 ... acinfexp_epol_3_6{txt}->{res}acinfexp_epol
acinfexp_apol_1_1 acinfexp_apol_1_4 ... acinfexp_apol_3_6{txt}->{res}acinfexp_apol
understand_epol_1_1 understand_epol_1_4 ... understand_epol_3_6{txt}->{res}understand_epol
understand_apol_1_1 understand_apol_1_4 ... understand_apol_3_6{txt}->{res}understand_apol
acttake_epol_1_1 acttake_epol_1_4 ... acttake_epol_3_6{txt}->{res}acttake_epol
acttake_epoloth_1_1 acttake_epoloth_1_4 ... acttake_epoloth_3_6{txt}->{res}acttake_epoloth
acttake_apol_1_1 acttake_apol_1_4 ... acttake_apol_3_6{txt}->{res}acttake_apol
acttake_apoloth_1_1 acttake_apoloth_1_4 ... acttake_apoloth_3_6{txt}->{res}acttake_apoloth
   likely_1_1 likely_1_4 ... likely_3_6   {txt}->   {res}likely
why_likchan_1_1 why_likchan_1_4 ... why_likchan_3_6{txt}->{res}why_likchan
who_apt_bur_1_1 who_apt_bur_1_4 ... who_apt_bur_3_6{txt}->{res}who_apt_bur
who_apt_buroth_1_1 who_apt_buroth_1_4 ... who_apt_buroth_3_6{txt}->{res}who_apt_buroth
who_fir_bur_1_1 who_fir_bur_1_4 ... who_fir_bur_3_6{txt}->{res}who_fir_bur
who_fir_buroth_1_1 who_fir_buroth_1_4 ... who_fir_buroth_3_6{txt}->{res}who_fir_buroth
ocap_epol_1_1 ocap_epol_1_4 ... ocap_epol_3_6{txt}->{res}ocap_epol
ocap_apol_1_1 ocap_apol_1_4 ... ocap_apol_3_6{txt}->{res}ocap_apol
prio_epol_1_1 prio_epol_1_4 ... prio_epol_3_6{txt}->{res}prio_epol
prio_apol_1_1 prio_apol_1_4 ... prio_apol_3_6{txt}->{res}prio_apol
overall_conf_1_1 overall_conf_1_4 ... overall_conf_3_6{txt}->{res}overall_conf
avg_educ_epol_1_1 avg_educ_epol_1_4 ... avg_educ_epol_3_6{txt}->{res}avg_educ_epol
avg_educ_apol_1_1 avg_educ_apol_1_4 ... avg_educ_apol_3_6{txt}->{res}avg_educ_apol
avg_educ_buro_1_1 avg_educ_buro_1_4 ... avg_educ_buro_3_6{txt}->{res}avg_educ_buro
avg_slry_epol_1_1 avg_slry_epol_1_4 ... avg_slry_epol_3_6{txt}->{res}avg_slry_epol
avg_slry_apol_1_1 avg_slry_apol_1_4 ... avg_slry_apol_3_6{txt}->{res}avg_slry_apol
avg_slry_buro_1_1 avg_slry_buro_1_4 ... avg_slry_buro_3_6{txt}->{res}avg_slry_buro
{txt}{hline 77}

{com}.         
.         * Filter data
.         
.         split pos, p("_")
{res}variables created as string: 
{txt}{col 1}pos1{col 7}pos2{col 13}pos3

{com}.         
.         drop pos1
{txt}
{com}.         ren pos2 case_n_unit
{res}{txt}
{com}.         ren pos3 unit_num
{res}{txt}
{com}.         destring case_n_unit unit_num, replace
{txt}case_n_unit: all characters numeric; {res}replaced {txt}as {res}byte
{txt}unit_num: all characters numeric; {res}replaced {txt}as {res}byte
{txt}
{com}.         order case_n_unit unit_num, after(duration_minutes)
{txt}
{com}.         drop pos
{txt}
{com}.         
.         destring num_unit, replace
{txt}num_unit: all characters numeric; {res}replaced {txt}as {res}byte
{txt}
{com}.         drop if num_unit != case_n_unit
{txt}(104 observations deleted)

{com}.         drop num_unit
{txt}
{com}.         
.         compress
  {txt}variable {bf}country{sf} was {bf}{res}str15{sf}{txt} now {bf}{res}str11{sf}
  {txt}variable {bf}full_name{sf} was {bf}{res}str28{sf}{txt} now {bf}{res}str23{sf}
  {txt}variable {bf}recipientemail{sf} was {bf}{res}str35{sf}{txt} now {bf}{res}str32{sf}
  {txt}variable {bf}userlanguage{sf} was {bf}{res}str13{sf}{txt} now {bf}{res}str2{sf}
  {txt}variable {bf}finished{sf} was {bf}{res}str8{sf}{txt} now {bf}{res}str4{sf}
  {txt}variable {bf}title_bur{sf} was {bf}{res}str448{sf}{txt} now {bf}{res}str235{sf}
  {txt}variable {bf}elecpol_ovrsee{sf} was {bf}{res}str352{sf}{txt} now {bf}{res}str3{sf}
  {txt}variable {bf}title_elecpol{sf} was {bf}{res}str312{sf}{txt} now {bf}{res}str288{sf}
  {txt}variable {bf}aptpol_d{sf} was {bf}{res}str332{sf}{txt} now {bf}{res}str30{sf}
  {txt}variable {bf}who_aptpol{sf} was {bf}{res}str96{sf}{txt} now {bf}{res}str84{sf}
  {txt}variable {bf}mostinf_servdel{sf} was {bf}{res}str256{sf}{txt} now {bf}{res}str44{sf}
  {txt}variable {bf}educ_elecpolbur{sf} was {bf}{res}str258{sf}{txt} now {bf}{res}str51{sf}
  {txt}variable {bf}educ_apolbur{sf} was {bf}{res}str260{sf}{txt} now {bf}{res}str1{sf}
  {txt}variable {bf}slry_elecpolbur{sf} was {bf}{res}str316{sf}{txt} now {bf}{res}str47{sf}
  {txt}variable {bf}slry_apolbur{sf} was {bf}{res}str318{sf}{txt} now {bf}{res}str1{sf}
  {txt}variable {bf}fdout_epol_bgt{sf} was {bf}{res}str373{sf}{txt} now {bf}{res}str19{sf}
  {txt}variable {bf}fdout_apol_bgt{sf} was {bf}{res}str375{sf}{txt} now {bf}{res}str1{sf}
  {txt}variable {bf}budsect_epol{sf} was {bf}{res}str217{sf}{txt} now {bf}{res}str19{sf}
  {txt}variable {bf}budsect_apol{sf} was {bf}{res}str219{sf}{txt} now {bf}{res}str1{sf}
  {txt}variable {bf}acinfexp_epol{sf} was {bf}{res}str216{sf}{txt} now {bf}{res}str19{sf}
  {txt}variable {bf}acinfexp_apol{sf} was {bf}{res}str218{sf}{txt} now {bf}{res}str1{sf}
  {txt}variable {bf}understand_epol{sf} was {bf}{res}str214{sf}{txt} now {bf}{res}str21{sf}
  {txt}variable {bf}understand_apol{sf} was {bf}{res}str216{sf}{txt} now {bf}{res}str21{sf}
  {txt}variable {bf}acttake_epol{sf} was {bf}{res}str247{sf}{txt} now {bf}{res}str163{sf}
  {txt}variable {bf}acttake_epoloth{sf} was {bf}{res}str261{sf}{txt} now {bf}{res}str63{sf}
  {txt}variable {bf}acttake_apol{sf} was {bf}{res}str250{sf}{txt} now {bf}{res}str1{sf}
  {txt}variable {bf}acttake_apoloth{sf} was {bf}{res}str264{sf}{txt} now {bf}{res}str1{sf}
  {txt}variable {bf}likely{sf} was {bf}{res}str159{sf}{txt} now {bf}{res}str18{sf}
  {txt}variable {bf}who_apt_bur{sf} was {bf}{res}str126{sf}{txt} now {bf}{res}str64{sf}
  {txt}variable {bf}who_fir_bur{sf} was {bf}{res}str120{sf}{txt} now {bf}{res}str64{sf}
  {txt}variable {bf}who_fir_buroth{sf} was {bf}{res}str134{sf}{txt} now {bf}{res}str77{sf}
  {txt}variable {bf}ocap_epol{sf} was {bf}{res}str359{sf}{txt} now {bf}{res}str55{sf}
  {txt}variable {bf}ocap_apol{sf} was {bf}{res}str361{sf}{txt} now {bf}{res}str1{sf}
  {txt}variable {bf}prio_epol{sf} was {bf}{res}str209{sf}{txt} now {bf}{res}str73{sf}
  {txt}variable {bf}prio_apol{sf} was {bf}{res}str211{sf}{txt} now {bf}{res}str1{sf}
  {txt}variable {bf}overall_conf{sf} was {bf}{res}str191{sf}{txt} now {bf}{res}str17{sf}
  {txt}variable {bf}avg_educ_buro{sf} was {bf}{res}str117{sf}{txt} now {bf}{res}str101{sf}
  {txt}variable {bf}avg_slry_apol{sf} was {bf}{res}str134{sf}{txt} now {bf}{res}str128{sf}
  {txt}variable {bf}avg_slry_buro{sf} was {bf}{res}str134{sf}{txt} now {bf}{res}str87{sf}
  {txt}variable {bf}confirmation{sf} was {bf}{res}str1148{sf}{txt} now {bf}{res}str63{sf}
{txt}  (462,685 bytes saved)

{com}.         
.         * We edit the label 
.         
.         lab var country "Country"
{txt}
{com}.         lab var full_name  "Full name of recipient"
{txt}
{com}.         lab var recipientemail "Recipient email"
{txt}
{com}.         lab var userlanguage "Language used to answer"
{txt}
{com}.         lab var finished "Completion status"
{txt}
{com}.         lab var progress "Progress"
{txt}
{com}.         lab var duration_minutes "Duration in minutes"
{txt}
{com}.         lab var case_n_unit "Original number of entities"
{txt}
{com}.         lab var unit_num "Unit number"
{txt}
{com}.         
.         * Confirmation
.         
.         fre confirmation
{res}
{txt}confirmation
{txt}{hline 13}{hline 1}{c TT}{hline 44}
{txt}        {txt}      {c |}      Freq.    Percent      Valid       Cum.
{txt}{hline 13}{hline 1}{c +}{hline 44}
{txt}Valid   No,   {c |}{res}          2       3.28       7.14       7.14
{txt}        this  {c |}{res}                                            
{txt}        is    {c |}{res}                                            
{txt}        inacc {c |}{res}                                            
{txt}        urate {c |}{res}                                            
{txt}        .     {c |}{res}                                            
{txt}        This  {c |}{res}                                            
{txt}        level {c |}{res}                                            
{txt}        needs {c |}{res}                                            
{txt}        to be {c |}{res}                                            
{txt}        repla {c |}{res}                                            
{txt}        ced/d {c |}{res}                                            
{txt}        elete {c |}{res}                                            
{txt}        d     {c |}{res}                                            
{txt}        No,   {c |}{res}          2       3.28       7.14      14.29
{txt}        this  {c |}{res}                                            
{txt}        level {c |}{res}                                            
{txt}        needs {c |}{res}                                            
{txt}        to be {c |}{res}                                            
{txt}        repla {c |}{res}                                            
{txt}        ced/d {c |}{res}                                            
{txt}        elete {c |}{res}                                            
{txt}        d     {c |}{res}                                            
{txt}        Yes,  {c |}{res}         24      39.34      85.71     100.00
{txt}        this  {c |}{res}                                            
{txt}        is    {c |}{res}                                            
{txt}        accur {c |}{res}                                            
{txt}        ate   {c |}{res}                                            
{txt}        Total {c |}{res}         28      45.90     100.00           
{txt}Missing       {c |}{res}         33      54.10                      
{txt}Total         {c |}{res}         61     100.00                      
{txt}{hline 13}{hline 1}{c BT}{hline 44}

{com}.         replace confirmation = "1" if confirmation == "Yes, this is accurate"
{txt}(24 real changes made)

{com}.         replace confirmation = "0" if regexm(confirmation,"No")
{txt}(4 real changes made)

{com}.         destring confirmation, replace
{txt}confirmation: all characters numeric; {res}replaced {txt}as {res}byte
{txt}(33 missing values generated)
{res}{txt}
{com}.         
.         lab var confirmation "Confirmation of adequacy of unit"
{txt}
{com}.         lab def confirmation 0 "No, this is not accurate. It should be replaced/deleted" 1 "Yes, this is accurate"
{txt}
{com}.         lab val confirmation confirmation
{txt}
{com}.         
.         fre confirmation
{res}
{txt}confirmation {hline 2} Confirmation of adequacy of unit
{txt}{hline 13}{hline 1}{c TT}{hline 44}
{txt}        {txt}      {c |}      Freq.    Percent      Valid       Cum.
{txt}{hline 13}{hline 1}{c +}{hline 44}
{txt}Valid   0 No, {c |}{res}          4       6.56      14.29      14.29
{txt}          thi {c |}{res}                                            
{txt}          s   {c |}{res}                                            
{txt}          is  {c |}{res}                                            
{txt}          not {c |}{res}                                            
{txt}          acc {c |}{res}                                            
{txt}          ura {c |}{res}                                            
{txt}          te. {c |}{res}                                            
{txt}          It  {c |}{res}                                            
{txt}          sho {c |}{res}                                            
{txt}          uld {c |}{res}                                            
{txt}          be  {c |}{res}                                            
{txt}          rep {c |}{res}                                            
{txt}          lac {c |}{res}                                            
{txt}          ed/ {c |}{res}                                            
{txt}          del {c |}{res}                                            
{txt}          ete {c |}{res}                                            
{txt}          d   {c |}{res}                                            
{txt}        1 Yes {c |}{res}         24      39.34      85.71     100.00
{txt}          ,   {c |}{res}                                            
{txt}          thi {c |}{res}                                            
{txt}          s   {c |}{res}                                            
{txt}          is  {c |}{res}                                            
{txt}          acc {c |}{res}                                            
{txt}          ura {c |}{res}                                            
{txt}          te  {c |}{res}                                            
{txt}        Total {c |}{res}         28      45.90     100.00           
{txt}Missing .     {c |}{res}         33      54.10                      
{txt}Total         {c |}{res}         61     100.00                      
{txt}{hline 13}{hline 1}{c BT}{hline 44}

{com}.         
.         order confirmation, after(unit_num)
{txt}
{com}.         
.         * Creating variable about asked_survey (should be updated)
.         
.         gen asked_survey = 0
{txt}
{com}.         replace asked_survey = 1 if confirmation == 1
{txt}(24 real changes made)

{com}.         lab var asked_survey "Survey question asked to respondent"
{txt}
{com}.         lab def yesno 0 "No" 1 "Yes"
{txt}
{com}.         lab val asked_survey yesno
{txt}
{com}.         order asked_survey, after(confirmation)
{txt}
{com}.         
.         * title_bur
.         
.         lab var title_bur "Title of the highest-level bureaucrat in unit"
{txt}
{com}.         
.         gen test_title_bur = (title_bur != "")
{txt}
{com}.         replace test_title_bur = . if asked_survey == 0
{txt}(37 real changes made, 37 to missing)

{com}.         fre test_title_bur
{res}
{txt}test_title_bur
{txt}{hline 9}{hline 1}{c TT}{hline 44}
{txt}        {txt}  {c |}      Freq.    Percent      Valid       Cum.
{txt}{hline 9}{hline 1}{c +}{hline 44}
{txt}Valid   1 {c |}{res}         24      39.34     100.00     100.00
{txt}Missing . {c |}{res}         37      60.66                      
{txt}Total     {c |}{res}         61     100.00                      
{txt}{hline 9}{hline 1}{c BT}{hline 44}

{com}.         assert inlist(test_title_bur,.,1)
{txt}
{com}.         
.         drop test_title_bur
{txt}
{com}.         
.         * elecpol_ovrsee
.         
.         lab var elecpol_ovrsee "Any politicians in unit overseeing service delivery"
{txt}
{com}.         replace elecpol_ovrsee = "0" if elecpol_ovrsee == "No"
{txt}(2 real changes made)

{com}.         replace elecpol_ovrsee = "1" if elecpol_ovrsee == "Yes"
{txt}(23 real changes made)

{com}.         destring elecpol_ovrsee, replace
{txt}elecpol_ovrsee: all characters numeric; {res}replaced {txt}as {res}byte
{txt}(36 missing values generated)
{res}{txt}
{com}.         lab val elecpol_ovrsee yesno
{txt}
{com}.         
.         fre elecpol_ovrsee
{res}
{txt}elecpol_ovrsee {hline 2} Any politicians in unit overseeing service delivery
{txt}{hline 13}{hline 1}{c TT}{hline 44}
{txt}        {txt}      {c |}      Freq.    Percent      Valid       Cum.
{txt}{hline 13}{hline 1}{c +}{hline 44}
{txt}Valid   0 No  {c |}{res}          2       3.28       8.00       8.00
{txt}        1 Yes {c |}{res}         23      37.70      92.00     100.00
{txt}        Total {c |}{res}         25      40.98     100.00           
{txt}Missing .     {c |}{res}         36      59.02                      
{txt}Total         {c |}{res}         61     100.00                      
{txt}{hline 13}{hline 1}{c BT}{hline 44}

{com}.         
.         gen test_elecpol_ovrsee = (elecpol_ovrsee != .)
{txt}
{com}.         replace test_elecpol_ovrsee = . if asked_survey == 0
{txt}(37 real changes made, 37 to missing)

{com}.         fre test_elecpol_ovrsee
{res}
{txt}test_elecpol_ovrsee
{txt}{hline 9}{hline 1}{c TT}{hline 44}
{txt}        {txt}  {c |}      Freq.    Percent      Valid       Cum.
{txt}{hline 9}{hline 1}{c +}{hline 44}
{txt}Valid   1 {c |}{res}         24      39.34     100.00     100.00
{txt}Missing . {c |}{res}         37      60.66                      
{txt}Total     {c |}{res}         61     100.00                      
{txt}{hline 9}{hline 1}{c BT}{hline 44}

{com}.         assert inlist(test_elecpol_ovrsee,.,1)
{txt}
{com}.         
.         drop test_elecpol_ovrsee
{txt}
{com}.         
.         * title_elecpol
.         
.         lab var title_elecpol "Title of the highest-level elected politician in unit"
{txt}
{com}.         
.         gen test_title_elecpol = (title_elecpol != "")
{txt}
{com}.         replace test_title_elecpol = . if asked_survey == 0
{txt}(37 real changes made, 37 to missing)

{com}.         replace test_title_elecpol = . if elecpol_ovrsee == 0
{txt}(1 real change made, 1 to missing)

{com}.         fre test_title_elecpol
{res}
{txt}test_title_elecpol
{txt}{hline 9}{hline 1}{c TT}{hline 44}
{txt}        {txt}  {c |}      Freq.    Percent      Valid       Cum.
{txt}{hline 9}{hline 1}{c +}{hline 44}
{txt}Valid   1 {c |}{res}         23      37.70     100.00     100.00
{txt}Missing . {c |}{res}         38      62.30                      
{txt}Total     {c |}{res}         61     100.00                      
{txt}{hline 9}{hline 1}{c BT}{hline 44}

{com}.         assert inlist(test_title_elecpol,.,1)
{txt}
{com}.         
.         drop test_title_elecpol
{txt}
{com}.         
.         * aptpol_d
.         
.         fre aptpol_d
{res}
{txt}aptpol_d
{txt}{hline 13}{hline 1}{c TT}{hline 44}
{txt}        {txt}      {c |}      Freq.    Percent      Valid       Cum.
{txt}{hline 13}{hline 1}{c +}{hline 44}
{txt}Valid   Do    {c |}{res}          1       1.64       4.00       4.00
{txt}        not   {c |}{res}                                            
{txt}        know  {c |}{res}                                            
{txt}        /     {c |}{res}                                            
{txt}        Refus {c |}{res}                                            
{txt}        e to  {c |}{res}                                            
{txt}        answe {c |}{res}                                            
{txt}        r     {c |}{res}                                            
{txt}        No    {c |}{res}         15      24.59      60.00      64.00
{txt}        Yes   {c |}{res}          9      14.75      36.00     100.00
{txt}        Total {c |}{res}         25      40.98     100.00           
{txt}Missing       {c |}{res}         36      59.02                      
{txt}Total         {c |}{res}         61     100.00                      
{txt}{hline 13}{hline 1}{c BT}{hline 44}

{com}.         e

{txt}end of do-file


{com}. do "/var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//SD44938.000000"
{txt}
{com}. 
.         * Purpose: Importing data to run HFC
.         
.         * Setting up globals
.         
.         if "`c(username)'" == "fredericcochinard" {c -(}
.                 
.                 global import_folder "/Users/fredericcochinard/Dropbox/Expert survey/Data/0.survey_dataset/0.import"
.                 global output "/Users/fredericcochinard/Dropbox/Expert survey/Data/0.survey_dataset/1.output"
.                 
.                 {c )-}
{txt}
{com}.                 
.         if "`c(username)'" == "" {c -(}
.         
.                 
.                 {c )-}
{txt}
{com}.         
.         * Looking for renaming folder with problem
.         
.         local myfiles: dir "$import_folder" files "*.xlsx"
{txt}
{com}. 
.         foreach file of local myfiles {c -(}
{txt}  2{com}.                 
.                 local subfile = substr("`file'", 1, .)
{txt}  3{com}.                 local subfile : subinstr local subfile " " "_", all
{txt}  4{com}.                 ! mv "${c -(}import_folder{c )-}/`file'" "${c -(}import_folder{c )-}/`subfile'"
{txt}  5{com}.                 
.                 {c )-}
{txt}

{com}.         
.         * Looking for dataset
.         
.         filelist , dir("$import_folder") pat("*.xlsx")
{res}{txt}Number of files found = {res}1
{txt}
{com}.         
.         gen url = filename
{txt}
{com}.         
.         levelsof url
{txt}`"Expert_survey_February_18,_2025_16.23.xlsx"'

{com}. 
.         local lvlfiles `r(levels)'
{txt}
{com}.         
.         local z = 0
{txt}
{com}.         
.         foreach lvl of local lvlfiles {c -(}
{txt}  2{com}.         
.                 local z = `z' + 1
{txt}  3{com}.                 
.                 local temp : subinstr local lvl `"""' "", all
{txt}  4{com}.                 local url : subinstr local temp "'" "", all
{txt}  5{com}.         
.                 import excel "${c -(}import_folder{c )-}/`url'", first case(lower) clear
{txt}  6{com}.                 
.                 gen num = _n
{txt}  7{com}.                 drop if num == 1
{txt}  8{com}.                 
.                 * Preparing the append
.                 
.                 tempfile data`z'
{txt}  9{com}.                 sa "`data`z''"
{txt} 10{com}.                 
.                 {c )-}
{res}{txt}(1 observation deleted)
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.000001 saved

{com}.                 
.         * We append the dataset to start cleaning
.         
.         use "`data1'", clear
{txt}
{com}.         
.         forvalues x = 2/`z' {c -(}
{txt}  2{com}.         
.                 append using "`data`x''"
{txt}  3{com}.                 
.                 {c )-}
{txt}
{com}.                 
.         duplicates drop

{p 0 4}{txt}Duplicates in terms of {txt} all variables{p_end}

(0 observations are duplicates)

{com}.         
.         * We keep relevant variable
.         drop if recipientemail == "frederic.cochinard@gmail.com"
{txt}(8 observations deleted)

{com}.         drop if recipientemail == "vedpant+spanish@college.harvard.edu"
{txt}(1 observation deleted)

{com}.         drop if recipientemail == "frederic.cochinard+3@gmail.com"
{txt}(1 observation deleted)

{com}.         drop if recipientemail == "frederic.cochinard+1@gmail.com"
{txt}(1 observation deleted)

{com}.         
.         * We remove observation that are not finished
.         drop if finished == "False"
{txt}(9 observations deleted)

{com}.         
.         * We create a save
.         
.         tempfile save_data
{txt}
{com}.         sa "`save_data'"
{txt}file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.000002 saved

{com}.         
.         * Main form of survey 
.         keep country full_name recipientemail responseid progress durationinseconds finished userlanguage num_unit confirmation_* ///
>         title_bur* elecpol_ovrsee* title_elecpol* aptpol_d* title_aptpol* who_aptpol* mostinf_servdel* educ_elecpolbur* ///
>         educ_apolbur* slry_elecpolbur* slry_apolbur* fdout_epol_bgt* fdout_apol_bgt* budsect_epol* budsect_apol* acinfexp_epol* /// 
>         acinfexp_apol* understand_epol* understand_apol* acttake_epol* acttake_epol* acttake_apol* acttake_apol* likely* why_likchan* /// 
>         who_apt_bur* who_apt_bur* who_fir_bur* who_fir_bur* ocap_epol* ocap_apol* prio_epol* prio_apol* overall_conf* avg_educ_epol* ///
>         avg_educ_apol* avg_educ_buro* avg_slry_epol* avg_slry_apol* avg_slry_buro* //
{txt}
{com}.         
.         destring durationinseconds progress, replace
{txt}durationinseconds: all characters numeric; {res}replaced {txt}as {res}int
{txt}progress: all characters numeric; {res}replaced {txt}as {res}byte
{txt}
{com}.         replace durationinseconds = round(durationinseconds/60)
{txt}(11 real changes made)

{com}.         ren durationinseconds duration_minutes
{res}{txt}
{com}. 
.         *--
.         
.         local id country full_name recipientemail responseid userlanguage num_unit finished progress duration_minutes
{txt}
{com}.         
.         order `id', first
{txt}
{com}.         duplicates drop `id', force

{p 0 4}{txt}Duplicates in terms of {res} country full_name recipientemail responseid userlanguage num_unit finished progress duration_minutes{p_end}

{txt}(0 observations are duplicates)

{com}.         
.         * Renaming others
.         
.         forvalues x = 1/3 {c -(}
{txt}  2{com}.                 
.                 forvalues y = 1/6 {c -(} 
{txt}  3{com}.                 
.                         cap ren who_apt_bur_`x'_`y'_8_text who_apt_buroth_`x'_`y'
{txt}  4{com}.                         cap ren who_fir_bur_`x'_`y'_8_text who_fir_buroth_`x'_`y'
{txt}  5{com}.                         cap ren acttake_epol_`x'_`y'_9_text acttake_epoloth_`x'_`y'
{txt}  6{com}.                         cap ren acttake_apol_`x'_`y'_9_text acttake_apoloth_`x'_`y'
{txt}  7{com}.                         
.                         {c )-}
{txt}  8{com}.                         
.                 {c )-}
{txt}
{com}.         
.         #delimit ;
{txt}delimiter now ;
{com}.         local var confirmation
>         title_bur 
>         elecpol_ovrsee
>         title_elecpol
>         aptpol_d
>         title_aptpol
>         who_aptpol
>         mostinf_servdel
>         educ_elecpolbur
>         educ_apolbur
>         slry_elecpolbur
>         slry_apolbur
>         fdout_epol_bgt
>         fdout_apol_bgt
>         budsect_epol
>         budsect_apol
>         acinfexp_epol
>         acinfexp_apol
>         understand_epol
>         understand_apol
>         acttake_epol
>         acttake_epoloth
>         acttake_apol
>         acttake_apoloth
>         likely
>         why_likchan
>         who_apt_bur
>         who_apt_buroth
>         who_fir_bur
>         who_fir_buroth
>         ocap_epol
>         ocap_apol
>         prio_epol
>         prio_apol
>         overall_conf
>         avg_educ_epol
>         avg_educ_apol
>         avg_educ_buro
>         avg_slry_epol
>         avg_slry_apol
>         avg_slry_buro
>         
>         ;
{txt}
{com}.                 #delimit cr
{txt}delimiter now cr
{com}. 
.         reshape long `var', i(`id') j(pos) s
{txt}(note: j = _1_1 _1_4 _1_5 _1_6 _2_1 _2_2 _2_4 _2_5 _2_6 _3_1 _3_2 _3_3 _3_4 _3_5 _3_6)
(note: confirmation_1_4 not found)
(note: confirmation_1_5 not found)
(note: confirmation_1_6 not found)
(note: confirmation_2_4 not found)
(note: confirmation_2_5 not found)
(note: confirmation_2_6 not found)
(note: confirmation_3_4 not found)
(note: confirmation_3_5 not found)
(note: confirmation_3_6 not found)

Data{col 36}wide{col 43}->{col 48}long
{hline 77}
Number of obs.                 {res}      11   {txt}->{res}     165
{txt}Number of variables            {res}     615   {txt}->{res}      51
{txt}j variable (15 values)                    ->   {res}pos
{txt}xij variables:
{res}confirmation_1_1 confirmation_1_4 ... confirmation_3_6{txt}->{res}confirmation
title_bur_1_1 title_bur_1_4 ... title_bur_3_6{txt}->{res}title_bur
elecpol_ovrsee_1_1 elecpol_ovrsee_1_4 ... elecpol_ovrsee_3_6{txt}->{res}elecpol_ovrsee
title_elecpol_1_1 title_elecpol_1_4 ... title_elecpol_3_6{txt}->{res}title_elecpol
aptpol_d_1_1 aptpol_d_1_4 ... aptpol_d_3_6{txt}->   {res}aptpol_d
title_aptpol_1_1 title_aptpol_1_4 ... title_aptpol_3_6{txt}->{res}title_aptpol
who_aptpol_1_1 who_aptpol_1_4 ... who_aptpol_3_6{txt}->{res}who_aptpol
mostinf_servdel_1_1 mostinf_servdel_1_4 ... mostinf_servdel_3_6{txt}->{res}mostinf_servdel
educ_elecpolbur_1_1 educ_elecpolbur_1_4 ... educ_elecpolbur_3_6{txt}->{res}educ_elecpolbur
educ_apolbur_1_1 educ_apolbur_1_4 ... educ_apolbur_3_6{txt}->{res}educ_apolbur
slry_elecpolbur_1_1 slry_elecpolbur_1_4 ... slry_elecpolbur_3_6{txt}->{res}slry_elecpolbur
slry_apolbur_1_1 slry_apolbur_1_4 ... slry_apolbur_3_6{txt}->{res}slry_apolbur
fdout_epol_bgt_1_1 fdout_epol_bgt_1_4 ... fdout_epol_bgt_3_6{txt}->{res}fdout_epol_bgt
fdout_apol_bgt_1_1 fdout_apol_bgt_1_4 ... fdout_apol_bgt_3_6{txt}->{res}fdout_apol_bgt
budsect_epol_1_1 budsect_epol_1_4 ... budsect_epol_3_6{txt}->{res}budsect_epol
budsect_apol_1_1 budsect_apol_1_4 ... budsect_apol_3_6{txt}->{res}budsect_apol
acinfexp_epol_1_1 acinfexp_epol_1_4 ... acinfexp_epol_3_6{txt}->{res}acinfexp_epol
acinfexp_apol_1_1 acinfexp_apol_1_4 ... acinfexp_apol_3_6{txt}->{res}acinfexp_apol
understand_epol_1_1 understand_epol_1_4 ... understand_epol_3_6{txt}->{res}understand_epol
understand_apol_1_1 understand_apol_1_4 ... understand_apol_3_6{txt}->{res}understand_apol
acttake_epol_1_1 acttake_epol_1_4 ... acttake_epol_3_6{txt}->{res}acttake_epol
acttake_epoloth_1_1 acttake_epoloth_1_4 ... acttake_epoloth_3_6{txt}->{res}acttake_epoloth
acttake_apol_1_1 acttake_apol_1_4 ... acttake_apol_3_6{txt}->{res}acttake_apol
acttake_apoloth_1_1 acttake_apoloth_1_4 ... acttake_apoloth_3_6{txt}->{res}acttake_apoloth
   likely_1_1 likely_1_4 ... likely_3_6   {txt}->   {res}likely
why_likchan_1_1 why_likchan_1_4 ... why_likchan_3_6{txt}->{res}why_likchan
who_apt_bur_1_1 who_apt_bur_1_4 ... who_apt_bur_3_6{txt}->{res}who_apt_bur
who_apt_buroth_1_1 who_apt_buroth_1_4 ... who_apt_buroth_3_6{txt}->{res}who_apt_buroth
who_fir_bur_1_1 who_fir_bur_1_4 ... who_fir_bur_3_6{txt}->{res}who_fir_bur
who_fir_buroth_1_1 who_fir_buroth_1_4 ... who_fir_buroth_3_6{txt}->{res}who_fir_buroth
ocap_epol_1_1 ocap_epol_1_4 ... ocap_epol_3_6{txt}->{res}ocap_epol
ocap_apol_1_1 ocap_apol_1_4 ... ocap_apol_3_6{txt}->{res}ocap_apol
prio_epol_1_1 prio_epol_1_4 ... prio_epol_3_6{txt}->{res}prio_epol
prio_apol_1_1 prio_apol_1_4 ... prio_apol_3_6{txt}->{res}prio_apol
overall_conf_1_1 overall_conf_1_4 ... overall_conf_3_6{txt}->{res}overall_conf
avg_educ_epol_1_1 avg_educ_epol_1_4 ... avg_educ_epol_3_6{txt}->{res}avg_educ_epol
avg_educ_apol_1_1 avg_educ_apol_1_4 ... avg_educ_apol_3_6{txt}->{res}avg_educ_apol
avg_educ_buro_1_1 avg_educ_buro_1_4 ... avg_educ_buro_3_6{txt}->{res}avg_educ_buro
avg_slry_epol_1_1 avg_slry_epol_1_4 ... avg_slry_epol_3_6{txt}->{res}avg_slry_epol
avg_slry_apol_1_1 avg_slry_apol_1_4 ... avg_slry_apol_3_6{txt}->{res}avg_slry_apol
avg_slry_buro_1_1 avg_slry_buro_1_4 ... avg_slry_buro_3_6{txt}->{res}avg_slry_buro
{txt}{hline 77}

{com}.         
.         * Filter data
.         
.         split pos, p("_")
{res}variables created as string: 
{txt}{col 1}pos1{col 7}pos2{col 13}pos3

{com}.         
.         drop pos1
{txt}
{com}.         ren pos2 case_n_unit
{res}{txt}
{com}.         ren pos3 unit_num
{res}{txt}
{com}.         destring case_n_unit unit_num, replace
{txt}case_n_unit: all characters numeric; {res}replaced {txt}as {res}byte
{txt}unit_num: all characters numeric; {res}replaced {txt}as {res}byte
{txt}
{com}.         order case_n_unit unit_num, after(duration_minutes)
{txt}
{com}.         drop pos
{txt}
{com}.         
.         destring num_unit, replace
{txt}num_unit: all characters numeric; {res}replaced {txt}as {res}byte
{txt}
{com}.         drop if num_unit != case_n_unit
{txt}(104 observations deleted)

{com}.         drop num_unit
{txt}
{com}.         
.         compress
  {txt}variable {bf}country{sf} was {bf}{res}str15{sf}{txt} now {bf}{res}str11{sf}
  {txt}variable {bf}full_name{sf} was {bf}{res}str28{sf}{txt} now {bf}{res}str23{sf}
  {txt}variable {bf}recipientemail{sf} was {bf}{res}str35{sf}{txt} now {bf}{res}str32{sf}
  {txt}variable {bf}userlanguage{sf} was {bf}{res}str13{sf}{txt} now {bf}{res}str2{sf}
  {txt}variable {bf}finished{sf} was {bf}{res}str8{sf}{txt} now {bf}{res}str4{sf}
  {txt}variable {bf}title_bur{sf} was {bf}{res}str448{sf}{txt} now {bf}{res}str235{sf}
  {txt}variable {bf}elecpol_ovrsee{sf} was {bf}{res}str352{sf}{txt} now {bf}{res}str3{sf}
  {txt}variable {bf}title_elecpol{sf} was {bf}{res}str312{sf}{txt} now {bf}{res}str288{sf}
  {txt}variable {bf}aptpol_d{sf} was {bf}{res}str332{sf}{txt} now {bf}{res}str30{sf}
  {txt}variable {bf}who_aptpol{sf} was {bf}{res}str96{sf}{txt} now {bf}{res}str84{sf}
  {txt}variable {bf}mostinf_servdel{sf} was {bf}{res}str256{sf}{txt} now {bf}{res}str44{sf}
  {txt}variable {bf}educ_elecpolbur{sf} was {bf}{res}str258{sf}{txt} now {bf}{res}str51{sf}
  {txt}variable {bf}educ_apolbur{sf} was {bf}{res}str260{sf}{txt} now {bf}{res}str1{sf}
  {txt}variable {bf}slry_elecpolbur{sf} was {bf}{res}str316{sf}{txt} now {bf}{res}str47{sf}
  {txt}variable {bf}slry_apolbur{sf} was {bf}{res}str318{sf}{txt} now {bf}{res}str1{sf}
  {txt}variable {bf}fdout_epol_bgt{sf} was {bf}{res}str373{sf}{txt} now {bf}{res}str19{sf}
  {txt}variable {bf}fdout_apol_bgt{sf} was {bf}{res}str375{sf}{txt} now {bf}{res}str1{sf}
  {txt}variable {bf}budsect_epol{sf} was {bf}{res}str217{sf}{txt} now {bf}{res}str19{sf}
  {txt}variable {bf}budsect_apol{sf} was {bf}{res}str219{sf}{txt} now {bf}{res}str1{sf}
  {txt}variable {bf}acinfexp_epol{sf} was {bf}{res}str216{sf}{txt} now {bf}{res}str19{sf}
  {txt}variable {bf}acinfexp_apol{sf} was {bf}{res}str218{sf}{txt} now {bf}{res}str1{sf}
  {txt}variable {bf}understand_epol{sf} was {bf}{res}str214{sf}{txt} now {bf}{res}str21{sf}
  {txt}variable {bf}understand_apol{sf} was {bf}{res}str216{sf}{txt} now {bf}{res}str21{sf}
  {txt}variable {bf}acttake_epol{sf} was {bf}{res}str247{sf}{txt} now {bf}{res}str163{sf}
  {txt}variable {bf}acttake_epoloth{sf} was {bf}{res}str261{sf}{txt} now {bf}{res}str63{sf}
  {txt}variable {bf}acttake_apol{sf} was {bf}{res}str250{sf}{txt} now {bf}{res}str1{sf}
  {txt}variable {bf}acttake_apoloth{sf} was {bf}{res}str264{sf}{txt} now {bf}{res}str1{sf}
  {txt}variable {bf}likely{sf} was {bf}{res}str159{sf}{txt} now {bf}{res}str18{sf}
  {txt}variable {bf}who_apt_bur{sf} was {bf}{res}str126{sf}{txt} now {bf}{res}str64{sf}
  {txt}variable {bf}who_fir_bur{sf} was {bf}{res}str120{sf}{txt} now {bf}{res}str64{sf}
  {txt}variable {bf}who_fir_buroth{sf} was {bf}{res}str134{sf}{txt} now {bf}{res}str77{sf}
  {txt}variable {bf}ocap_epol{sf} was {bf}{res}str359{sf}{txt} now {bf}{res}str55{sf}
  {txt}variable {bf}ocap_apol{sf} was {bf}{res}str361{sf}{txt} now {bf}{res}str1{sf}
  {txt}variable {bf}prio_epol{sf} was {bf}{res}str209{sf}{txt} now {bf}{res}str73{sf}
  {txt}variable {bf}prio_apol{sf} was {bf}{res}str211{sf}{txt} now {bf}{res}str1{sf}
  {txt}variable {bf}overall_conf{sf} was {bf}{res}str191{sf}{txt} now {bf}{res}str17{sf}
  {txt}variable {bf}avg_educ_buro{sf} was {bf}{res}str117{sf}{txt} now {bf}{res}str101{sf}
  {txt}variable {bf}avg_slry_apol{sf} was {bf}{res}str134{sf}{txt} now {bf}{res}str128{sf}
  {txt}variable {bf}avg_slry_buro{sf} was {bf}{res}str134{sf}{txt} now {bf}{res}str87{sf}
  {txt}variable {bf}confirmation{sf} was {bf}{res}str1148{sf}{txt} now {bf}{res}str63{sf}
{txt}  (462,685 bytes saved)

{com}.         
.         * We edit the label 
.         
.         lab var country "Country"
{txt}
{com}.         lab var full_name  "Full name of recipient"
{txt}
{com}.         lab var recipientemail "Recipient email"
{txt}
{com}.         lab var userlanguage "Language used to answer"
{txt}
{com}.         lab var finished "Completion status"
{txt}
{com}.         lab var progress "Progress"
{txt}
{com}.         lab var duration_minutes "Duration in minutes"
{txt}
{com}.         lab var case_n_unit "Original number of entities"
{txt}
{com}.         lab var unit_num "Unit number"
{txt}
{com}.         
.         * Confirmation
.         
.         fre confirmation
{res}
{txt}confirmation
{txt}{hline 54}{hline 1}{c TT}{hline 44}
{txt}        {txt}                                               {c |}      Freq.    Percent      Valid       Cum.
{txt}{hline 54}{hline 1}{c +}{hline 44}
{txt}Valid   No, this is inaccurate. This level needs to be {c |}{res}          2       3.28       7.14       7.14
{txt}        replaced/deleted                               {c |}{res}                                            
{txt}        No, this level needs to be replaced/deleted    {c |}{res}          2       3.28       7.14      14.29
{txt}        Yes, this is accurate                          {c |}{res}         24      39.34      85.71     100.00
{txt}        Total                                          {c |}{res}         28      45.90     100.00           
{txt}Missing                                                {c |}{res}         33      54.10                      
{txt}Total                                                  {c |}{res}         61     100.00                      
{txt}{hline 54}{hline 1}{c BT}{hline 44}

{com}.         replace confirmation = "1" if confirmation == "Yes, this is accurate"
{txt}(24 real changes made)

{com}.         replace confirmation = "0" if regexm(confirmation,"No")
{txt}(4 real changes made)

{com}.         destring confirmation, replace
{txt}confirmation: all characters numeric; {res}replaced {txt}as {res}byte
{txt}(33 missing values generated)
{res}{txt}
{com}.         
.         lab var confirmation "Confirmation of adequacy of unit"
{txt}
{com}.         lab def confirmation 0 "No, this is not accurate. It should be replaced/deleted" 1 "Yes, this is accurate"
{txt}
{com}.         lab val confirmation confirmation
{txt}
{com}.         
.         fre confirmation
{res}
{txt}confirmation {hline 2} Confirmation of adequacy of unit
{txt}{hline 48}{hline 1}{c TT}{hline 44}
{txt}        {txt}                                         {c |}      Freq.    Percent      Valid       Cum.
{txt}{hline 48}{hline 1}{c +}{hline 44}
{txt}Valid   0 No, this is not accurate. It should be {c |}{res}          4       6.56      14.29      14.29
{txt}          replaced/deleted                       {c |}{res}                                            
{txt}        1 Yes, this is accurate                  {c |}{res}         24      39.34      85.71     100.00
{txt}        Total                                    {c |}{res}         28      45.90     100.00           
{txt}Missing .                                        {c |}{res}         33      54.10                      
{txt}Total                                            {c |}{res}         61     100.00                      
{txt}{hline 48}{hline 1}{c BT}{hline 44}

{com}.         
.         order confirmation, after(unit_num)
{txt}
{com}.         
.         * Creating variable about asked_survey (should be updated)
.         
.         gen asked_survey = 0
{txt}
{com}.         replace asked_survey = 1 if confirmation == 1
{txt}(24 real changes made)

{com}.         lab var asked_survey "Survey question asked to respondent"
{txt}
{com}.         lab def yesno 0 "No" 1 "Yes"
{txt}
{com}.         lab val asked_survey yesno
{txt}
{com}.         order asked_survey, after(confirmation)
{txt}
{com}.         
.         * title_bur
.         
.         lab var title_bur "Title of the highest-level bureaucrat in unit"
{txt}
{com}.         
.         gen test_title_bur = (title_bur != "")
{txt}
{com}.         replace test_title_bur = . if asked_survey == 0
{txt}(37 real changes made, 37 to missing)

{com}.         fre test_title_bur
{res}
{txt}test_title_bur
{txt}{hline 9}{hline 1}{c TT}{hline 44}
{txt}        {txt}  {c |}      Freq.    Percent      Valid       Cum.
{txt}{hline 9}{hline 1}{c +}{hline 44}
{txt}Valid   1 {c |}{res}         24      39.34     100.00     100.00
{txt}Missing . {c |}{res}         37      60.66                      
{txt}Total     {c |}{res}         61     100.00                      
{txt}{hline 9}{hline 1}{c BT}{hline 44}

{com}.         assert inlist(test_title_bur,.,1)
{txt}
{com}.         
.         drop test_title_bur
{txt}
{com}.         
.         * elecpol_ovrsee
.         
.         lab var elecpol_ovrsee "Any politicians in unit overseeing service delivery"
{txt}
{com}.         replace elecpol_ovrsee = "0" if elecpol_ovrsee == "No"
{txt}(2 real changes made)

{com}.         replace elecpol_ovrsee = "1" if elecpol_ovrsee == "Yes"
{txt}(23 real changes made)

{com}.         destring elecpol_ovrsee, replace
{txt}elecpol_ovrsee: all characters numeric; {res}replaced {txt}as {res}byte
{txt}(36 missing values generated)
{res}{txt}
{com}.         lab val elecpol_ovrsee yesno
{txt}
{com}.         
.         fre elecpol_ovrsee
{res}
{txt}elecpol_ovrsee {hline 2} Any politicians in unit overseeing service delivery
{txt}{hline 13}{hline 1}{c TT}{hline 44}
{txt}        {txt}      {c |}      Freq.    Percent      Valid       Cum.
{txt}{hline 13}{hline 1}{c +}{hline 44}
{txt}Valid   0 No  {c |}{res}          2       3.28       8.00       8.00
{txt}        1 Yes {c |}{res}         23      37.70      92.00     100.00
{txt}        Total {c |}{res}         25      40.98     100.00           
{txt}Missing .     {c |}{res}         36      59.02                      
{txt}Total         {c |}{res}         61     100.00                      
{txt}{hline 13}{hline 1}{c BT}{hline 44}

{com}.         
.         gen test_elecpol_ovrsee = (elecpol_ovrsee != .)
{txt}
{com}.         replace test_elecpol_ovrsee = . if asked_survey == 0
{txt}(37 real changes made, 37 to missing)

{com}.         fre test_elecpol_ovrsee
{res}
{txt}test_elecpol_ovrsee
{txt}{hline 9}{hline 1}{c TT}{hline 44}
{txt}        {txt}  {c |}      Freq.    Percent      Valid       Cum.
{txt}{hline 9}{hline 1}{c +}{hline 44}
{txt}Valid   1 {c |}{res}         24      39.34     100.00     100.00
{txt}Missing . {c |}{res}         37      60.66                      
{txt}Total     {c |}{res}         61     100.00                      
{txt}{hline 9}{hline 1}{c BT}{hline 44}

{com}.         assert inlist(test_elecpol_ovrsee,.,1)
{txt}
{com}.         
.         drop test_elecpol_ovrsee
{txt}
{com}.         
.         * title_elecpol
.         
.         lab var title_elecpol "Title of the highest-level elected politician in unit"
{txt}
{com}.         
.         gen test_title_elecpol = (title_elecpol != "")
{txt}
{com}.         replace test_title_elecpol = . if asked_survey == 0
{txt}(37 real changes made, 37 to missing)

{com}.         replace test_title_elecpol = . if elecpol_ovrsee == 0
{txt}(1 real change made, 1 to missing)

{com}.         fre test_title_elecpol
{res}
{txt}test_title_elecpol
{txt}{hline 9}{hline 1}{c TT}{hline 44}
{txt}        {txt}  {c |}      Freq.    Percent      Valid       Cum.
{txt}{hline 9}{hline 1}{c +}{hline 44}
{txt}Valid   1 {c |}{res}         23      37.70     100.00     100.00
{txt}Missing . {c |}{res}         38      62.30                      
{txt}Total     {c |}{res}         61     100.00                      
{txt}{hline 9}{hline 1}{c BT}{hline 44}

{com}.         assert inlist(test_title_elecpol,.,1)
{txt}
{com}.         
.         drop test_title_elecpol
{txt}
{com}.         
.         * aptpol_d
.         
.         fre aptpol_d
{res}
{txt}aptpol_d
{txt}{hline 38}{hline 1}{c TT}{hline 44}
{txt}        {txt}                               {c |}      Freq.    Percent      Valid       Cum.
{txt}{hline 38}{hline 1}{c +}{hline 44}
{txt}Valid   Do not know / Refuse to answer {c |}{res}          1       1.64       4.00       4.00
{txt}        No                             {c |}{res}         15      24.59      60.00      64.00
{txt}        Yes                            {c |}{res}          9      14.75      36.00     100.00
{txt}        Total                          {c |}{res}         25      40.98     100.00           
{txt}Missing                                {c |}{res}         36      59.02                      
{txt}Total                                  {c |}{res}         61     100.00                      
{txt}{hline 38}{hline 1}{c BT}{hline 44}

{com}.         e

{txt}end of do-file


{com}. do "/var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//SD44938.000000"
{txt}
{com}. 
.         * Purpose: Importing data to run HFC
.         
.         * Setting up globals
.         
.         if "`c(username)'" == "fredericcochinard" {c -(}
.                 
.                 global import_folder "/Users/fredericcochinard/Dropbox/Expert survey/Data/0.survey_dataset/0.import"
.                 global output "/Users/fredericcochinard/Dropbox/Expert survey/Data/0.survey_dataset/1.output"
.                 
.                 {c )-}
{txt}
{com}.                 
.         if "`c(username)'" == "" {c -(}
.         
.                 
.                 {c )-}
{txt}
{com}.         
.         * Looking for renaming folder with problem
.         
.         local myfiles: dir "$import_folder" files "*.xlsx"
{txt}
{com}. 
.         foreach file of local myfiles {c -(}
{txt}  2{com}.                 
.                 local subfile = substr("`file'", 1, .)
{txt}  3{com}.                 local subfile : subinstr local subfile " " "_", all
{txt}  4{com}.                 ! mv "${c -(}import_folder{c )-}/`file'" "${c -(}import_folder{c )-}/`subfile'"
{txt}  5{com}.                 
.                 {c )-}
{txt}

{com}.         
.         * Looking for dataset
.         
.         filelist , dir("$import_folder") pat("*.xlsx")
{res}{txt}Number of files found = {res}1
{txt}
{com}.         
.         gen url = filename
{txt}
{com}.         
.         levelsof url
{txt}`"Expert_survey_February_18,_2025_16.23.xlsx"'

{com}. 
.         local lvlfiles `r(levels)'
{txt}
{com}.         
.         local z = 0
{txt}
{com}.         
.         foreach lvl of local lvlfiles {c -(}
{txt}  2{com}.         
.                 local z = `z' + 1
{txt}  3{com}.                 
.                 local temp : subinstr local lvl `"""' "", all
{txt}  4{com}.                 local url : subinstr local temp "'" "", all
{txt}  5{com}.         
.                 import excel "${c -(}import_folder{c )-}/`url'", first case(lower) clear
{txt}  6{com}.                 
.                 gen num = _n
{txt}  7{com}.                 drop if num == 1
{txt}  8{com}.                 
.                 * Preparing the append
.                 
.                 tempfile data`z'
{txt}  9{com}.                 sa "`data`z''"
{txt} 10{com}.                 
.                 {c )-}
{res}{txt}(1 observation deleted)
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.000001 saved

{com}.                 
.         * We append the dataset to start cleaning
.         
.         use "`data1'", clear
{txt}
{com}.         
.         forvalues x = 2/`z' {c -(}
{txt}  2{com}.         
.                 append using "`data`x''"
{txt}  3{com}.                 
.                 {c )-}
{txt}
{com}.                 
.         duplicates drop

{p 0 4}{txt}Duplicates in terms of {txt} all variables{p_end}

(0 observations are duplicates)

{com}.         
.         * We keep relevant variable
.         drop if recipientemail == "frederic.cochinard@gmail.com"
{txt}(8 observations deleted)

{com}.         drop if recipientemail == "vedpant+spanish@college.harvard.edu"
{txt}(1 observation deleted)

{com}.         drop if recipientemail == "frederic.cochinard+3@gmail.com"
{txt}(1 observation deleted)

{com}.         drop if recipientemail == "frederic.cochinard+1@gmail.com"
{txt}(1 observation deleted)

{com}.         
.         * We remove observation that are not finished
.         drop if finished == "False"
{txt}(9 observations deleted)

{com}.         
.         * We create a save
.         
.         tempfile save_data
{txt}
{com}.         sa "`save_data'"
{txt}file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.000002 saved

{com}.         
.         * Main form of survey 
.         keep country full_name recipientemail responseid progress durationinseconds finished userlanguage num_unit confirmation_* ///
>         title_bur* elecpol_ovrsee* title_elecpol* aptpol_d* title_aptpol* who_aptpol* mostinf_servdel* educ_elecpolbur* ///
>         educ_apolbur* slry_elecpolbur* slry_apolbur* fdout_epol_bgt* fdout_apol_bgt* budsect_epol* budsect_apol* acinfexp_epol* /// 
>         acinfexp_apol* understand_epol* understand_apol* acttake_epol* acttake_epol* acttake_apol* acttake_apol* likely* why_likchan* /// 
>         who_apt_bur* who_apt_bur* who_fir_bur* who_fir_bur* ocap_epol* ocap_apol* prio_epol* prio_apol* overall_conf* avg_educ_epol* ///
>         avg_educ_apol* avg_educ_buro* avg_slry_epol* avg_slry_apol* avg_slry_buro* //
{txt}
{com}.         
.         destring durationinseconds progress, replace
{txt}durationinseconds: all characters numeric; {res}replaced {txt}as {res}int
{txt}progress: all characters numeric; {res}replaced {txt}as {res}byte
{txt}
{com}.         replace durationinseconds = round(durationinseconds/60)
{txt}(11 real changes made)

{com}.         ren durationinseconds duration_minutes
{res}{txt}
{com}. 
.         *--
.         
.         local id country full_name recipientemail responseid userlanguage num_unit finished progress duration_minutes
{txt}
{com}.         
.         order `id', first
{txt}
{com}.         duplicates drop `id', force

{p 0 4}{txt}Duplicates in terms of {res} country full_name recipientemail responseid userlanguage num_unit finished progress duration_minutes{p_end}

{txt}(0 observations are duplicates)

{com}.         
.         * Renaming others
.         
.         forvalues x = 1/3 {c -(}
{txt}  2{com}.                 
.                 forvalues y = 1/6 {c -(} 
{txt}  3{com}.                 
.                         cap ren who_apt_bur_`x'_`y'_8_text who_apt_buroth_`x'_`y'
{txt}  4{com}.                         cap ren who_fir_bur_`x'_`y'_8_text who_fir_buroth_`x'_`y'
{txt}  5{com}.                         cap ren acttake_epol_`x'_`y'_9_text acttake_epoloth_`x'_`y'
{txt}  6{com}.                         cap ren acttake_apol_`x'_`y'_9_text acttake_apoloth_`x'_`y'
{txt}  7{com}.                         
.                         {c )-}
{txt}  8{com}.                         
.                 {c )-}
{txt}
{com}.         
.         #delimit ;
{txt}delimiter now ;
{com}.         local var confirmation
>         title_bur 
>         elecpol_ovrsee
>         title_elecpol
>         aptpol_d
>         title_aptpol
>         who_aptpol
>         mostinf_servdel
>         educ_elecpolbur
>         educ_apolbur
>         slry_elecpolbur
>         slry_apolbur
>         fdout_epol_bgt
>         fdout_apol_bgt
>         budsect_epol
>         budsect_apol
>         acinfexp_epol
>         acinfexp_apol
>         understand_epol
>         understand_apol
>         acttake_epol
>         acttake_epoloth
>         acttake_apol
>         acttake_apoloth
>         likely
>         why_likchan
>         who_apt_bur
>         who_apt_buroth
>         who_fir_bur
>         who_fir_buroth
>         ocap_epol
>         ocap_apol
>         prio_epol
>         prio_apol
>         overall_conf
>         avg_educ_epol
>         avg_educ_apol
>         avg_educ_buro
>         avg_slry_epol
>         avg_slry_apol
>         avg_slry_buro
>         
>         ;
{txt}
{com}.                 #delimit cr
{txt}delimiter now cr
{com}. 
.         reshape long `var', i(`id') j(pos) s
{txt}(note: j = _1_1 _1_4 _1_5 _1_6 _2_1 _2_2 _2_4 _2_5 _2_6 _3_1 _3_2 _3_3 _3_4 _3_5 _3_6)
(note: confirmation_1_4 not found)
(note: confirmation_1_5 not found)
(note: confirmation_1_6 not found)
(note: confirmation_2_4 not found)
(note: confirmation_2_5 not found)
(note: confirmation_2_6 not found)
(note: confirmation_3_4 not found)
(note: confirmation_3_5 not found)
(note: confirmation_3_6 not found)

Data{col 36}wide{col 43}->{col 48}long
{hline 77}
Number of obs.                 {res}      11   {txt}->{res}     165
{txt}Number of variables            {res}     615   {txt}->{res}      51
{txt}j variable (15 values)                    ->   {res}pos
{txt}xij variables:
{res}confirmation_1_1 confirmation_1_4 ... confirmation_3_6{txt}->{res}confirmation
title_bur_1_1 title_bur_1_4 ... title_bur_3_6{txt}->{res}title_bur
elecpol_ovrsee_1_1 elecpol_ovrsee_1_4 ... elecpol_ovrsee_3_6{txt}->{res}elecpol_ovrsee
title_elecpol_1_1 title_elecpol_1_4 ... title_elecpol_3_6{txt}->{res}title_elecpol
aptpol_d_1_1 aptpol_d_1_4 ... aptpol_d_3_6{txt}->   {res}aptpol_d
title_aptpol_1_1 title_aptpol_1_4 ... title_aptpol_3_6{txt}->{res}title_aptpol
who_aptpol_1_1 who_aptpol_1_4 ... who_aptpol_3_6{txt}->{res}who_aptpol
mostinf_servdel_1_1 mostinf_servdel_1_4 ... mostinf_servdel_3_6{txt}->{res}mostinf_servdel
educ_elecpolbur_1_1 educ_elecpolbur_1_4 ... educ_elecpolbur_3_6{txt}->{res}educ_elecpolbur
educ_apolbur_1_1 educ_apolbur_1_4 ... educ_apolbur_3_6{txt}->{res}educ_apolbur
slry_elecpolbur_1_1 slry_elecpolbur_1_4 ... slry_elecpolbur_3_6{txt}->{res}slry_elecpolbur
slry_apolbur_1_1 slry_apolbur_1_4 ... slry_apolbur_3_6{txt}->{res}slry_apolbur
fdout_epol_bgt_1_1 fdout_epol_bgt_1_4 ... fdout_epol_bgt_3_6{txt}->{res}fdout_epol_bgt
fdout_apol_bgt_1_1 fdout_apol_bgt_1_4 ... fdout_apol_bgt_3_6{txt}->{res}fdout_apol_bgt
budsect_epol_1_1 budsect_epol_1_4 ... budsect_epol_3_6{txt}->{res}budsect_epol
budsect_apol_1_1 budsect_apol_1_4 ... budsect_apol_3_6{txt}->{res}budsect_apol
acinfexp_epol_1_1 acinfexp_epol_1_4 ... acinfexp_epol_3_6{txt}->{res}acinfexp_epol
acinfexp_apol_1_1 acinfexp_apol_1_4 ... acinfexp_apol_3_6{txt}->{res}acinfexp_apol
understand_epol_1_1 understand_epol_1_4 ... understand_epol_3_6{txt}->{res}understand_epol
understand_apol_1_1 understand_apol_1_4 ... understand_apol_3_6{txt}->{res}understand_apol
acttake_epol_1_1 acttake_epol_1_4 ... acttake_epol_3_6{txt}->{res}acttake_epol
acttake_epoloth_1_1 acttake_epoloth_1_4 ... acttake_epoloth_3_6{txt}->{res}acttake_epoloth
acttake_apol_1_1 acttake_apol_1_4 ... acttake_apol_3_6{txt}->{res}acttake_apol
acttake_apoloth_1_1 acttake_apoloth_1_4 ... acttake_apoloth_3_6{txt}->{res}acttake_apoloth
   likely_1_1 likely_1_4 ... likely_3_6   {txt}->   {res}likely
why_likchan_1_1 why_likchan_1_4 ... why_likchan_3_6{txt}->{res}why_likchan
who_apt_bur_1_1 who_apt_bur_1_4 ... who_apt_bur_3_6{txt}->{res}who_apt_bur
who_apt_buroth_1_1 who_apt_buroth_1_4 ... who_apt_buroth_3_6{txt}->{res}who_apt_buroth
who_fir_bur_1_1 who_fir_bur_1_4 ... who_fir_bur_3_6{txt}->{res}who_fir_bur
who_fir_buroth_1_1 who_fir_buroth_1_4 ... who_fir_buroth_3_6{txt}->{res}who_fir_buroth
ocap_epol_1_1 ocap_epol_1_4 ... ocap_epol_3_6{txt}->{res}ocap_epol
ocap_apol_1_1 ocap_apol_1_4 ... ocap_apol_3_6{txt}->{res}ocap_apol
prio_epol_1_1 prio_epol_1_4 ... prio_epol_3_6{txt}->{res}prio_epol
prio_apol_1_1 prio_apol_1_4 ... prio_apol_3_6{txt}->{res}prio_apol
overall_conf_1_1 overall_conf_1_4 ... overall_conf_3_6{txt}->{res}overall_conf
avg_educ_epol_1_1 avg_educ_epol_1_4 ... avg_educ_epol_3_6{txt}->{res}avg_educ_epol
avg_educ_apol_1_1 avg_educ_apol_1_4 ... avg_educ_apol_3_6{txt}->{res}avg_educ_apol
avg_educ_buro_1_1 avg_educ_buro_1_4 ... avg_educ_buro_3_6{txt}->{res}avg_educ_buro
avg_slry_epol_1_1 avg_slry_epol_1_4 ... avg_slry_epol_3_6{txt}->{res}avg_slry_epol
avg_slry_apol_1_1 avg_slry_apol_1_4 ... avg_slry_apol_3_6{txt}->{res}avg_slry_apol
avg_slry_buro_1_1 avg_slry_buro_1_4 ... avg_slry_buro_3_6{txt}->{res}avg_slry_buro
{txt}{hline 77}

{com}.         
.         * Filter data
.         
.         split pos, p("_")
{res}variables created as string: 
{txt}{col 1}pos1{col 7}pos2{col 13}pos3

{com}.         
.         drop pos1
{txt}
{com}.         ren pos2 case_n_unit
{res}{txt}
{com}.         ren pos3 unit_num
{res}{txt}
{com}.         destring case_n_unit unit_num, replace
{txt}case_n_unit: all characters numeric; {res}replaced {txt}as {res}byte
{txt}unit_num: all characters numeric; {res}replaced {txt}as {res}byte
{txt}
{com}.         order case_n_unit unit_num, after(duration_minutes)
{txt}
{com}.         drop pos
{txt}
{com}.         
.         destring num_unit, replace
{txt}num_unit: all characters numeric; {res}replaced {txt}as {res}byte
{txt}
{com}.         drop if num_unit != case_n_unit
{txt}(104 observations deleted)

{com}.         drop num_unit
{txt}
{com}.         
.         compress
  {txt}variable {bf}country{sf} was {bf}{res}str15{sf}{txt} now {bf}{res}str11{sf}
  {txt}variable {bf}full_name{sf} was {bf}{res}str28{sf}{txt} now {bf}{res}str23{sf}
  {txt}variable {bf}recipientemail{sf} was {bf}{res}str35{sf}{txt} now {bf}{res}str32{sf}
  {txt}variable {bf}userlanguage{sf} was {bf}{res}str13{sf}{txt} now {bf}{res}str2{sf}
  {txt}variable {bf}finished{sf} was {bf}{res}str8{sf}{txt} now {bf}{res}str4{sf}
  {txt}variable {bf}title_bur{sf} was {bf}{res}str448{sf}{txt} now {bf}{res}str235{sf}
  {txt}variable {bf}elecpol_ovrsee{sf} was {bf}{res}str352{sf}{txt} now {bf}{res}str3{sf}
  {txt}variable {bf}title_elecpol{sf} was {bf}{res}str312{sf}{txt} now {bf}{res}str288{sf}
  {txt}variable {bf}aptpol_d{sf} was {bf}{res}str332{sf}{txt} now {bf}{res}str30{sf}
  {txt}variable {bf}who_aptpol{sf} was {bf}{res}str96{sf}{txt} now {bf}{res}str84{sf}
  {txt}variable {bf}mostinf_servdel{sf} was {bf}{res}str256{sf}{txt} now {bf}{res}str44{sf}
  {txt}variable {bf}educ_elecpolbur{sf} was {bf}{res}str258{sf}{txt} now {bf}{res}str51{sf}
  {txt}variable {bf}educ_apolbur{sf} was {bf}{res}str260{sf}{txt} now {bf}{res}str1{sf}
  {txt}variable {bf}slry_elecpolbur{sf} was {bf}{res}str316{sf}{txt} now {bf}{res}str47{sf}
  {txt}variable {bf}slry_apolbur{sf} was {bf}{res}str318{sf}{txt} now {bf}{res}str1{sf}
  {txt}variable {bf}fdout_epol_bgt{sf} was {bf}{res}str373{sf}{txt} now {bf}{res}str19{sf}
  {txt}variable {bf}fdout_apol_bgt{sf} was {bf}{res}str375{sf}{txt} now {bf}{res}str1{sf}
  {txt}variable {bf}budsect_epol{sf} was {bf}{res}str217{sf}{txt} now {bf}{res}str19{sf}
  {txt}variable {bf}budsect_apol{sf} was {bf}{res}str219{sf}{txt} now {bf}{res}str1{sf}
  {txt}variable {bf}acinfexp_epol{sf} was {bf}{res}str216{sf}{txt} now {bf}{res}str19{sf}
  {txt}variable {bf}acinfexp_apol{sf} was {bf}{res}str218{sf}{txt} now {bf}{res}str1{sf}
  {txt}variable {bf}understand_epol{sf} was {bf}{res}str214{sf}{txt} now {bf}{res}str21{sf}
  {txt}variable {bf}understand_apol{sf} was {bf}{res}str216{sf}{txt} now {bf}{res}str21{sf}
  {txt}variable {bf}acttake_epol{sf} was {bf}{res}str247{sf}{txt} now {bf}{res}str163{sf}
  {txt}variable {bf}acttake_epoloth{sf} was {bf}{res}str261{sf}{txt} now {bf}{res}str63{sf}
  {txt}variable {bf}acttake_apol{sf} was {bf}{res}str250{sf}{txt} now {bf}{res}str1{sf}
  {txt}variable {bf}acttake_apoloth{sf} was {bf}{res}str264{sf}{txt} now {bf}{res}str1{sf}
  {txt}variable {bf}likely{sf} was {bf}{res}str159{sf}{txt} now {bf}{res}str18{sf}
  {txt}variable {bf}who_apt_bur{sf} was {bf}{res}str126{sf}{txt} now {bf}{res}str64{sf}
  {txt}variable {bf}who_fir_bur{sf} was {bf}{res}str120{sf}{txt} now {bf}{res}str64{sf}
  {txt}variable {bf}who_fir_buroth{sf} was {bf}{res}str134{sf}{txt} now {bf}{res}str77{sf}
  {txt}variable {bf}ocap_epol{sf} was {bf}{res}str359{sf}{txt} now {bf}{res}str55{sf}
  {txt}variable {bf}ocap_apol{sf} was {bf}{res}str361{sf}{txt} now {bf}{res}str1{sf}
  {txt}variable {bf}prio_epol{sf} was {bf}{res}str209{sf}{txt} now {bf}{res}str73{sf}
  {txt}variable {bf}prio_apol{sf} was {bf}{res}str211{sf}{txt} now {bf}{res}str1{sf}
  {txt}variable {bf}overall_conf{sf} was {bf}{res}str191{sf}{txt} now {bf}{res}str17{sf}
  {txt}variable {bf}avg_educ_buro{sf} was {bf}{res}str117{sf}{txt} now {bf}{res}str101{sf}
  {txt}variable {bf}avg_slry_apol{sf} was {bf}{res}str134{sf}{txt} now {bf}{res}str128{sf}
  {txt}variable {bf}avg_slry_buro{sf} was {bf}{res}str134{sf}{txt} now {bf}{res}str87{sf}
  {txt}variable {bf}confirmation{sf} was {bf}{res}str1148{sf}{txt} now {bf}{res}str63{sf}
{txt}  (462,685 bytes saved)

{com}.         
.         * We edit the label 
.         
.         lab var country "Country"
{txt}
{com}.         lab var full_name  "Full name of recipient"
{txt}
{com}.         lab var recipientemail "Recipient email"
{txt}
{com}.         lab var userlanguage "Language used to answer"
{txt}
{com}.         lab var finished "Completion status"
{txt}
{com}.         lab var progress "Progress"
{txt}
{com}.         lab var duration_minutes "Duration in minutes"
{txt}
{com}.         lab var case_n_unit "Original number of entities"
{txt}
{com}.         lab var unit_num "Unit number"
{txt}
{com}.         
.         * Confirmation
.         
.         fre confirmation
{res}
{txt}confirmation
{txt}{hline 54}{hline 1}{c TT}{hline 44}
{txt}        {txt}                                               {c |}      Freq.    Percent      Valid       Cum.
{txt}{hline 54}{hline 1}{c +}{hline 44}
{txt}Valid   No, this is inaccurate. This level needs to be {c |}{res}          2       3.28       7.14       7.14
{txt}        replaced/deleted                               {c |}{res}                                            
{txt}        No, this level needs to be replaced/deleted    {c |}{res}          2       3.28       7.14      14.29
{txt}        Yes, this is accurate                          {c |}{res}         24      39.34      85.71     100.00
{txt}        Total                                          {c |}{res}         28      45.90     100.00           
{txt}Missing                                                {c |}{res}         33      54.10                      
{txt}Total                                                  {c |}{res}         61     100.00                      
{txt}{hline 54}{hline 1}{c BT}{hline 44}

{com}.         replace confirmation = "1" if confirmation == "Yes, this is accurate"
{txt}(24 real changes made)

{com}.         replace confirmation = "0" if regexm(confirmation,"No")
{txt}(4 real changes made)

{com}.         destring confirmation, replace
{txt}confirmation: all characters numeric; {res}replaced {txt}as {res}byte
{txt}(33 missing values generated)
{res}{txt}
{com}.         
.         lab var confirmation "Confirmation of adequacy of unit"
{txt}
{com}.         lab def confirmation 0 "No, this is not accurate. It should be replaced/deleted" 1 "Yes, this is accurate"
{txt}
{com}.         lab val confirmation confirmation
{txt}
{com}.         
.         fre confirmation
{res}
{txt}confirmation {hline 2} Confirmation of adequacy of unit
{txt}{hline 48}{hline 1}{c TT}{hline 44}
{txt}        {txt}                                         {c |}      Freq.    Percent      Valid       Cum.
{txt}{hline 48}{hline 1}{c +}{hline 44}
{txt}Valid   0 No, this is not accurate. It should be {c |}{res}          4       6.56      14.29      14.29
{txt}          replaced/deleted                       {c |}{res}                                            
{txt}        1 Yes, this is accurate                  {c |}{res}         24      39.34      85.71     100.00
{txt}        Total                                    {c |}{res}         28      45.90     100.00           
{txt}Missing .                                        {c |}{res}         33      54.10                      
{txt}Total                                            {c |}{res}         61     100.00                      
{txt}{hline 48}{hline 1}{c BT}{hline 44}

{com}.         
.         order confirmation, after(unit_num)
{txt}
{com}.         
.         * Creating variable about asked_survey (should be updated)
.         
.         gen asked_survey = 0
{txt}
{com}.         replace asked_survey = 1 if confirmation == 1
{txt}(24 real changes made)

{com}.         lab var asked_survey "Survey question asked to respondent"
{txt}
{com}.         lab def yesno 0 "No" 1 "Yes"
{txt}
{com}.         lab val asked_survey yesno
{txt}
{com}.         order asked_survey, after(confirmation)
{txt}
{com}.         
.         * title_bur
.         
.         lab var title_bur "Title of the highest-level bureaucrat in unit"
{txt}
{com}.         
.         gen test_title_bur = (title_bur != "")
{txt}
{com}.         replace test_title_bur = . if asked_survey == 0
{txt}(37 real changes made, 37 to missing)

{com}.         fre test_title_bur
{res}
{txt}test_title_bur
{txt}{hline 9}{hline 1}{c TT}{hline 44}
{txt}        {txt}  {c |}      Freq.    Percent      Valid       Cum.
{txt}{hline 9}{hline 1}{c +}{hline 44}
{txt}Valid   1 {c |}{res}         24      39.34     100.00     100.00
{txt}Missing . {c |}{res}         37      60.66                      
{txt}Total     {c |}{res}         61     100.00                      
{txt}{hline 9}{hline 1}{c BT}{hline 44}

{com}.         assert inlist(test_title_bur,.,1)
{txt}
{com}.         
.         drop test_title_bur
{txt}
{com}.         
.         * elecpol_ovrsee
.         
.         lab var elecpol_ovrsee "Any politicians in unit overseeing service delivery"
{txt}
{com}.         replace elecpol_ovrsee = "0" if elecpol_ovrsee == "No"
{txt}(2 real changes made)

{com}.         replace elecpol_ovrsee = "1" if elecpol_ovrsee == "Yes"
{txt}(23 real changes made)

{com}.         destring elecpol_ovrsee, replace
{txt}elecpol_ovrsee: all characters numeric; {res}replaced {txt}as {res}byte
{txt}(36 missing values generated)
{res}{txt}
{com}.         lab val elecpol_ovrsee yesno
{txt}
{com}.         
.         fre elecpol_ovrsee
{res}
{txt}elecpol_ovrsee {hline 2} Any politicians in unit overseeing service delivery
{txt}{hline 13}{hline 1}{c TT}{hline 44}
{txt}        {txt}      {c |}      Freq.    Percent      Valid       Cum.
{txt}{hline 13}{hline 1}{c +}{hline 44}
{txt}Valid   0 No  {c |}{res}          2       3.28       8.00       8.00
{txt}        1 Yes {c |}{res}         23      37.70      92.00     100.00
{txt}        Total {c |}{res}         25      40.98     100.00           
{txt}Missing .     {c |}{res}         36      59.02                      
{txt}Total         {c |}{res}         61     100.00                      
{txt}{hline 13}{hline 1}{c BT}{hline 44}

{com}.         
.         gen test_elecpol_ovrsee = (elecpol_ovrsee != .)
{txt}
{com}.         replace test_elecpol_ovrsee = . if asked_survey == 0
{txt}(37 real changes made, 37 to missing)

{com}.         fre test_elecpol_ovrsee
{res}
{txt}test_elecpol_ovrsee
{txt}{hline 9}{hline 1}{c TT}{hline 44}
{txt}        {txt}  {c |}      Freq.    Percent      Valid       Cum.
{txt}{hline 9}{hline 1}{c +}{hline 44}
{txt}Valid   1 {c |}{res}         24      39.34     100.00     100.00
{txt}Missing . {c |}{res}         37      60.66                      
{txt}Total     {c |}{res}         61     100.00                      
{txt}{hline 9}{hline 1}{c BT}{hline 44}

{com}.         assert inlist(test_elecpol_ovrsee,.,1)
{txt}
{com}.         
.         drop test_elecpol_ovrsee
{txt}
{com}.         
.         * title_elecpol
.         
.         lab var title_elecpol "Title of the highest-level elected politician in unit"
{txt}
{com}.         
.         gen test_title_elecpol = (title_elecpol != "")
{txt}
{com}.         replace test_title_elecpol = . if asked_survey == 0
{txt}(37 real changes made, 37 to missing)

{com}.         replace test_title_elecpol = . if elecpol_ovrsee == 0
{txt}(1 real change made, 1 to missing)

{com}.         fre test_title_elecpol
{res}
{txt}test_title_elecpol
{txt}{hline 9}{hline 1}{c TT}{hline 44}
{txt}        {txt}  {c |}      Freq.    Percent      Valid       Cum.
{txt}{hline 9}{hline 1}{c +}{hline 44}
{txt}Valid   1 {c |}{res}         23      37.70     100.00     100.00
{txt}Missing . {c |}{res}         38      62.30                      
{txt}Total     {c |}{res}         61     100.00                      
{txt}{hline 9}{hline 1}{c BT}{hline 44}

{com}.         assert inlist(test_title_elecpol,.,1)
{txt}
{com}.         
.         drop test_title_elecpol
{txt}
{com}.         
.         * aptpol_d
.         
.         fre aptpol_d
{res}
{txt}aptpol_d
{txt}{hline 38}{hline 1}{c TT}{hline 44}
{txt}        {txt}                               {c |}      Freq.    Percent      Valid       Cum.
{txt}{hline 38}{hline 1}{c +}{hline 44}
{txt}Valid   Do not know / Refuse to answer {c |}{res}          1       1.64       4.00       4.00
{txt}        No                             {c |}{res}         15      24.59      60.00      64.00
{txt}        Yes                            {c |}{res}          9      14.75      36.00     100.00
{txt}        Total                          {c |}{res}         25      40.98     100.00           
{txt}Missing                                {c |}{res}         36      59.02                      
{txt}Total                                  {c |}{res}         61     100.00                      
{txt}{hline 38}{hline 1}{c BT}{hline 44}

{com}.         
.         lab var aptpol_d "Politician appointed by higher politician in unit"
{txt}
{com}.         replace aptpol_d = "0" if aptpol_d == "No"
{txt}(15 real changes made)

{com}.         replace aptpol_d = "1" if aptpol_d == "Yes"
{txt}(9 real changes made)

{com}.         replace aptpol_d = "-98" if aptpol_d == "Do not know / Refuse to answer"
{txt}(1 real change made)

{com}.         destring aptpol_d, replace
{txt}aptpol_d: all characters numeric; {res}replaced {txt}as {res}byte
{txt}(36 missing values generated)
{res}{txt}
{com}.         lab val aptpol_d yesno
{txt}
{com}.         
.         fre aptpol_d
{res}
{txt}aptpol_d {hline 2} Politician appointed by higher politician in unit
{txt}{hline 15}{hline 1}{c TT}{hline 44}
{txt}        {txt}        {c |}      Freq.    Percent      Valid       Cum.
{txt}{hline 15}{hline 1}{c +}{hline 44}
{txt}Valid   -98     {c |}{res}          1       1.64       4.00       4.00
{txt}        0   No  {c |}{res}         15      24.59      60.00      64.00
{txt}        1   Yes {c |}{res}          9      14.75      36.00     100.00
{txt}        Total   {c |}{res}         25      40.98     100.00           
{txt}Missing .       {c |}{res}         36      59.02                      
{txt}Total           {c |}{res}         61     100.00                      
{txt}{hline 15}{hline 1}{c BT}{hline 44}

{com}.         
.         gen test_aptpol_d = (aptpol_d != .)
{txt}
{com}.         replace test_aptpol_d = . if asked_survey == 0
{txt}(37 real changes made, 37 to missing)

{com}.         fre test_aptpol_d
{res}
{txt}test_aptpol_d
{txt}{hline 9}{hline 1}{c TT}{hline 44}
{txt}        {txt}  {c |}      Freq.    Percent      Valid       Cum.
{txt}{hline 9}{hline 1}{c +}{hline 44}
{txt}Valid   1 {c |}{res}         24      39.34     100.00     100.00
{txt}Missing . {c |}{res}         37      60.66                      
{txt}Total     {c |}{res}         61     100.00                      
{txt}{hline 9}{hline 1}{c BT}{hline 44}

{com}.         assert inlist(test_aptpol_d,.,1)
{txt}
{com}.         
.         drop test_aptpol_d
{txt}
{com}.         
.         * pol_exist_d
.         
.         gen pol_exist_d = 0
{txt}
{com}.         replace pol_exist_d = 1 if aptpol_d == 1 | elecpol_ovrsee == 1
{txt}(23 real changes made)

{com}.         replace pol_exist_d = . if asked_survey == 0
{txt}(37 real changes made, 37 to missing)

{com}.         lab val pol_exist_d yesno
{txt}
{com}.         lab var pol_exist_d "1 if we have either an appointed or elected politician"
{txt}
{com}.         
.         fre pol_exist_d
{res}
{txt}pol_exist_d {hline 2} 1 if we have either an appointed or elected politician
{txt}{hline 13}{hline 1}{c TT}{hline 44}
{txt}        {txt}      {c |}      Freq.    Percent      Valid       Cum.
{txt}{hline 13}{hline 1}{c +}{hline 44}
{txt}Valid   0 No  {c |}{res}          1       1.64       4.17       4.17
{txt}        1 Yes {c |}{res}         23      37.70      95.83     100.00
{txt}        Total {c |}{res}         24      39.34     100.00           
{txt}Missing .     {c |}{res}         37      60.66                      
{txt}Total         {c |}{res}         61     100.00                      
{txt}{hline 13}{hline 1}{c BT}{hline 44}

{com}.         order pol_exist_d, after(aptpol_d)
{txt}
{com}.         
.         * title_aptpol
.         
.         lab var title_aptpol "Title of the highest-level appointed politician in unit"
{txt}
{com}.         
.         gen test_title_aptpol = (title_aptpol != "")
{txt}
{com}.         replace test_title_aptpol = . if asked_survey == 0 
{txt}(37 real changes made, 37 to missing)

{com}.         replace test_title_aptpol = . if aptpol_d == 0
{txt}(14 real changes made, 14 to missing)

{com}.         fre test_title_aptpol
{res}
{txt}test_title_aptpol
{txt}{hline 13}{hline 1}{c TT}{hline 44}
{txt}        {txt}      {c |}      Freq.    Percent      Valid       Cum.
{txt}{hline 13}{hline 1}{c +}{hline 44}
{txt}Valid   0     {c |}{res}          1       1.64      10.00      10.00
{txt}        1     {c |}{res}          9      14.75      90.00     100.00
{txt}        Total {c |}{res}         10      16.39     100.00           
{txt}Missing .     {c |}{res}         51      83.61                      
{txt}Total         {c |}{res}         61     100.00                      
{txt}{hline 13}{hline 1}{c BT}{hline 44}

{com}.         assert inlist(test_title_aptpol,.,1)
{txt}1 contradiction in 61 observations
{err}assertion is false
{txt}{search r(9), local:r(9);}

end of do-file

{search r(9), local:r(9);}

{com}. do "/var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//SD44938.000000"
{txt}
{com}. 
.         * Purpose: Importing data to run HFC
.         
.         * Setting up globals
.         
.         if "`c(username)'" == "fredericcochinard" {c -(}
.                 
.                 global import_folder "/Users/fredericcochinard/Dropbox/Expert survey/Data/0.survey_dataset/0.import"
.                 global output "/Users/fredericcochinard/Dropbox/Expert survey/Data/0.survey_dataset/1.output"
.                 
.                 {c )-}
{txt}
{com}.                 
.         if "`c(username)'" == "" {c -(}
.         
.                 
.                 {c )-}
{txt}
{com}.         
.         * Looking for renaming folder with problem
.         
.         local myfiles: dir "$import_folder" files "*.xlsx"
{txt}
{com}. 
.         foreach file of local myfiles {c -(}
{txt}  2{com}.                 
.                 local subfile = substr("`file'", 1, .)
{txt}  3{com}.                 local subfile : subinstr local subfile " " "_", all
{txt}  4{com}.                 ! mv "${c -(}import_folder{c )-}/`file'" "${c -(}import_folder{c )-}/`subfile'"
{txt}  5{com}.                 
.                 {c )-}
{txt}

{com}.         
.         * Looking for dataset
.         
.         filelist , dir("$import_folder") pat("*.xlsx")
{res}{txt}Number of files found = {res}1
{txt}
{com}.         
.         gen url = filename
{txt}
{com}.         
.         levelsof url
{txt}`"Expert_survey_February_18,_2025_16.23.xlsx"'

{com}. 
.         local lvlfiles `r(levels)'
{txt}
{com}.         
.         local z = 0
{txt}
{com}.         
.         foreach lvl of local lvlfiles {c -(}
{txt}  2{com}.         
.                 local z = `z' + 1
{txt}  3{com}.                 
.                 local temp : subinstr local lvl `"""' "", all
{txt}  4{com}.                 local url : subinstr local temp "'" "", all
{txt}  5{com}.         
.                 import excel "${c -(}import_folder{c )-}/`url'", first case(lower) clear
{txt}  6{com}.                 
.                 gen num = _n
{txt}  7{com}.                 drop if num == 1
{txt}  8{com}.                 
.                 * Preparing the append
.                 
.                 tempfile data`z'
{txt}  9{com}.                 sa "`data`z''"
{txt} 10{com}.                 
.                 {c )-}
{res}{txt}(1 observation deleted)
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.000001 saved

{com}.                 
.         * We append the dataset to start cleaning
.         
.         use "`data1'", clear
{txt}
{com}.         
.         forvalues x = 2/`z' {c -(}
{txt}  2{com}.         
.                 append using "`data`x''"
{txt}  3{com}.                 
.                 {c )-}
{txt}
{com}.                 
.         duplicates drop

{p 0 4}{txt}Duplicates in terms of {txt} all variables{p_end}

(0 observations are duplicates)

{com}.         
.         * We keep relevant variable
.         drop if recipientemail == "frederic.cochinard@gmail.com"
{txt}(8 observations deleted)

{com}.         drop if recipientemail == "vedpant+spanish@college.harvard.edu"
{txt}(1 observation deleted)

{com}.         drop if recipientemail == "frederic.cochinard+3@gmail.com"
{txt}(1 observation deleted)

{com}.         drop if recipientemail == "frederic.cochinard+1@gmail.com"
{txt}(1 observation deleted)

{com}.         
.         * We remove observation that are not finished
.         drop if finished == "False"
{txt}(9 observations deleted)

{com}.         
.         * We create a save
.         
.         tempfile save_data
{txt}
{com}.         sa "`save_data'"
{txt}file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.000002 saved

{com}.         
.         * Main form of survey 
.         keep country full_name recipientemail responseid progress durationinseconds finished userlanguage num_unit confirmation_* ///
>         title_bur* elecpol_ovrsee* title_elecpol* aptpol_d* title_aptpol* who_aptpol* mostinf_servdel* educ_elecpolbur* ///
>         educ_apolbur* slry_elecpolbur* slry_apolbur* fdout_epol_bgt* fdout_apol_bgt* budsect_epol* budsect_apol* acinfexp_epol* /// 
>         acinfexp_apol* understand_epol* understand_apol* acttake_epol* acttake_epol* acttake_apol* acttake_apol* likely* why_likchan* /// 
>         who_apt_bur* who_apt_bur* who_fir_bur* who_fir_bur* ocap_epol* ocap_apol* prio_epol* prio_apol* overall_conf* avg_educ_epol* ///
>         avg_educ_apol* avg_educ_buro* avg_slry_epol* avg_slry_apol* avg_slry_buro* //
{txt}
{com}.         
.         destring durationinseconds progress, replace
{txt}durationinseconds: all characters numeric; {res}replaced {txt}as {res}int
{txt}progress: all characters numeric; {res}replaced {txt}as {res}byte
{txt}
{com}.         replace durationinseconds = round(durationinseconds/60)
{txt}(11 real changes made)

{com}.         ren durationinseconds duration_minutes
{res}{txt}
{com}. 
.         *--
.         
.         local id country full_name recipientemail responseid userlanguage num_unit finished progress duration_minutes
{txt}
{com}.         
.         order `id', first
{txt}
{com}.         duplicates drop `id', force

{p 0 4}{txt}Duplicates in terms of {res} country full_name recipientemail responseid userlanguage num_unit finished progress duration_minutes{p_end}

{txt}(0 observations are duplicates)

{com}.         
.         * Renaming others
.         
.         forvalues x = 1/3 {c -(}
{txt}  2{com}.                 
.                 forvalues y = 1/6 {c -(} 
{txt}  3{com}.                 
.                         cap ren who_apt_bur_`x'_`y'_8_text who_apt_buroth_`x'_`y'
{txt}  4{com}.                         cap ren who_fir_bur_`x'_`y'_8_text who_fir_buroth_`x'_`y'
{txt}  5{com}.                         cap ren acttake_epol_`x'_`y'_9_text acttake_epoloth_`x'_`y'
{txt}  6{com}.                         cap ren acttake_apol_`x'_`y'_9_text acttake_apoloth_`x'_`y'
{txt}  7{com}.                         
.                         {c )-}
{txt}  8{com}.                         
.                 {c )-}
{txt}
{com}.         
.         #delimit ;
{txt}delimiter now ;
{com}.         local var confirmation
>         title_bur 
>         elecpol_ovrsee
>         title_elecpol
>         aptpol_d
>         title_aptpol
>         who_aptpol
>         mostinf_servdel
>         educ_elecpolbur
>         educ_apolbur
>         slry_elecpolbur
>         slry_apolbur
>         fdout_epol_bgt
>         fdout_apol_bgt
>         budsect_epol
>         budsect_apol
>         acinfexp_epol
>         acinfexp_apol
>         understand_epol
>         understand_apol
>         acttake_epol
>         acttake_epoloth
>         acttake_apol
>         acttake_apoloth
>         likely
>         why_likchan
>         who_apt_bur
>         who_apt_buroth
>         who_fir_bur
>         who_fir_buroth
>         ocap_epol
>         ocap_apol
>         prio_epol
>         prio_apol
>         overall_conf
>         avg_educ_epol
>         avg_educ_apol
>         avg_educ_buro
>         avg_slry_epol
>         avg_slry_apol
>         avg_slry_buro
>         
>         ;
{txt}
{com}.                 #delimit cr
{txt}delimiter now cr
{com}. 
.         reshape long `var', i(`id') j(pos) s
{txt}(note: j = _1_1 _1_4 _1_5 _1_6 _2_1 _2_2 _2_4 _2_5 _2_6 _3_1 _3_2 _3_3 _3_4 _3_5 _3_6)
(note: confirmation_1_4 not found)
(note: confirmation_1_5 not found)
(note: confirmation_1_6 not found)
(note: confirmation_2_4 not found)
(note: confirmation_2_5 not found)
(note: confirmation_2_6 not found)
(note: confirmation_3_4 not found)
(note: confirmation_3_5 not found)
(note: confirmation_3_6 not found)

Data{col 36}wide{col 43}->{col 48}long
{hline 77}
Number of obs.                 {res}      11   {txt}->{res}     165
{txt}Number of variables            {res}     615   {txt}->{res}      51
{txt}j variable (15 values)                    ->   {res}pos
{txt}xij variables:
{res}confirmation_1_1 confirmation_1_4 ... confirmation_3_6{txt}->{res}confirmation
title_bur_1_1 title_bur_1_4 ... title_bur_3_6{txt}->{res}title_bur
elecpol_ovrsee_1_1 elecpol_ovrsee_1_4 ... elecpol_ovrsee_3_6{txt}->{res}elecpol_ovrsee
title_elecpol_1_1 title_elecpol_1_4 ... title_elecpol_3_6{txt}->{res}title_elecpol
aptpol_d_1_1 aptpol_d_1_4 ... aptpol_d_3_6{txt}->   {res}aptpol_d
title_aptpol_1_1 title_aptpol_1_4 ... title_aptpol_3_6{txt}->{res}title_aptpol
who_aptpol_1_1 who_aptpol_1_4 ... who_aptpol_3_6{txt}->{res}who_aptpol
mostinf_servdel_1_1 mostinf_servdel_1_4 ... mostinf_servdel_3_6{txt}->{res}mostinf_servdel
educ_elecpolbur_1_1 educ_elecpolbur_1_4 ... educ_elecpolbur_3_6{txt}->{res}educ_elecpolbur
educ_apolbur_1_1 educ_apolbur_1_4 ... educ_apolbur_3_6{txt}->{res}educ_apolbur
slry_elecpolbur_1_1 slry_elecpolbur_1_4 ... slry_elecpolbur_3_6{txt}->{res}slry_elecpolbur
slry_apolbur_1_1 slry_apolbur_1_4 ... slry_apolbur_3_6{txt}->{res}slry_apolbur
fdout_epol_bgt_1_1 fdout_epol_bgt_1_4 ... fdout_epol_bgt_3_6{txt}->{res}fdout_epol_bgt
fdout_apol_bgt_1_1 fdout_apol_bgt_1_4 ... fdout_apol_bgt_3_6{txt}->{res}fdout_apol_bgt
budsect_epol_1_1 budsect_epol_1_4 ... budsect_epol_3_6{txt}->{res}budsect_epol
budsect_apol_1_1 budsect_apol_1_4 ... budsect_apol_3_6{txt}->{res}budsect_apol
acinfexp_epol_1_1 acinfexp_epol_1_4 ... acinfexp_epol_3_6{txt}->{res}acinfexp_epol
acinfexp_apol_1_1 acinfexp_apol_1_4 ... acinfexp_apol_3_6{txt}->{res}acinfexp_apol
understand_epol_1_1 understand_epol_1_4 ... understand_epol_3_6{txt}->{res}understand_epol
understand_apol_1_1 understand_apol_1_4 ... understand_apol_3_6{txt}->{res}understand_apol
acttake_epol_1_1 acttake_epol_1_4 ... acttake_epol_3_6{txt}->{res}acttake_epol
acttake_epoloth_1_1 acttake_epoloth_1_4 ... acttake_epoloth_3_6{txt}->{res}acttake_epoloth
acttake_apol_1_1 acttake_apol_1_4 ... acttake_apol_3_6{txt}->{res}acttake_apol
acttake_apoloth_1_1 acttake_apoloth_1_4 ... acttake_apoloth_3_6{txt}->{res}acttake_apoloth
   likely_1_1 likely_1_4 ... likely_3_6   {txt}->   {res}likely
why_likchan_1_1 why_likchan_1_4 ... why_likchan_3_6{txt}->{res}why_likchan
who_apt_bur_1_1 who_apt_bur_1_4 ... who_apt_bur_3_6{txt}->{res}who_apt_bur
who_apt_buroth_1_1 who_apt_buroth_1_4 ... who_apt_buroth_3_6{txt}->{res}who_apt_buroth
who_fir_bur_1_1 who_fir_bur_1_4 ... who_fir_bur_3_6{txt}->{res}who_fir_bur
who_fir_buroth_1_1 who_fir_buroth_1_4 ... who_fir_buroth_3_6{txt}->{res}who_fir_buroth
ocap_epol_1_1 ocap_epol_1_4 ... ocap_epol_3_6{txt}->{res}ocap_epol
ocap_apol_1_1 ocap_apol_1_4 ... ocap_apol_3_6{txt}->{res}ocap_apol
prio_epol_1_1 prio_epol_1_4 ... prio_epol_3_6{txt}->{res}prio_epol
prio_apol_1_1 prio_apol_1_4 ... prio_apol_3_6{txt}->{res}prio_apol
overall_conf_1_1 overall_conf_1_4 ... overall_conf_3_6{txt}->{res}overall_conf
avg_educ_epol_1_1 avg_educ_epol_1_4 ... avg_educ_epol_3_6{txt}->{res}avg_educ_epol
avg_educ_apol_1_1 avg_educ_apol_1_4 ... avg_educ_apol_3_6{txt}->{res}avg_educ_apol
avg_educ_buro_1_1 avg_educ_buro_1_4 ... avg_educ_buro_3_6{txt}->{res}avg_educ_buro
avg_slry_epol_1_1 avg_slry_epol_1_4 ... avg_slry_epol_3_6{txt}->{res}avg_slry_epol
avg_slry_apol_1_1 avg_slry_apol_1_4 ... avg_slry_apol_3_6{txt}->{res}avg_slry_apol
avg_slry_buro_1_1 avg_slry_buro_1_4 ... avg_slry_buro_3_6{txt}->{res}avg_slry_buro
{txt}{hline 77}

{com}.         
.         * Filter data
.         
.         split pos, p("_")
{res}variables created as string: 
{txt}{col 1}pos1{col 7}pos2{col 13}pos3

{com}.         
.         drop pos1
{txt}
{com}.         ren pos2 case_n_unit
{res}{txt}
{com}.         ren pos3 unit_num
{res}{txt}
{com}.         destring case_n_unit unit_num, replace
{txt}case_n_unit: all characters numeric; {res}replaced {txt}as {res}byte
{txt}unit_num: all characters numeric; {res}replaced {txt}as {res}byte
{txt}
{com}.         order case_n_unit unit_num, after(duration_minutes)
{txt}
{com}.         drop pos
{txt}
{com}.         
.         destring num_unit, replace
{txt}num_unit: all characters numeric; {res}replaced {txt}as {res}byte
{txt}
{com}.         drop if num_unit != case_n_unit
{txt}(104 observations deleted)

{com}.         drop num_unit
{txt}
{com}.         
.         compress
  {txt}variable {bf}country{sf} was {bf}{res}str15{sf}{txt} now {bf}{res}str11{sf}
  {txt}variable {bf}full_name{sf} was {bf}{res}str28{sf}{txt} now {bf}{res}str23{sf}
  {txt}variable {bf}recipientemail{sf} was {bf}{res}str35{sf}{txt} now {bf}{res}str32{sf}
  {txt}variable {bf}userlanguage{sf} was {bf}{res}str13{sf}{txt} now {bf}{res}str2{sf}
  {txt}variable {bf}finished{sf} was {bf}{res}str8{sf}{txt} now {bf}{res}str4{sf}
  {txt}variable {bf}title_bur{sf} was {bf}{res}str448{sf}{txt} now {bf}{res}str235{sf}
  {txt}variable {bf}elecpol_ovrsee{sf} was {bf}{res}str352{sf}{txt} now {bf}{res}str3{sf}
  {txt}variable {bf}title_elecpol{sf} was {bf}{res}str312{sf}{txt} now {bf}{res}str288{sf}
  {txt}variable {bf}aptpol_d{sf} was {bf}{res}str332{sf}{txt} now {bf}{res}str30{sf}
  {txt}variable {bf}who_aptpol{sf} was {bf}{res}str96{sf}{txt} now {bf}{res}str84{sf}
  {txt}variable {bf}mostinf_servdel{sf} was {bf}{res}str256{sf}{txt} now {bf}{res}str44{sf}
  {txt}variable {bf}educ_elecpolbur{sf} was {bf}{res}str258{sf}{txt} now {bf}{res}str51{sf}
  {txt}variable {bf}educ_apolbur{sf} was {bf}{res}str260{sf}{txt} now {bf}{res}str1{sf}
  {txt}variable {bf}slry_elecpolbur{sf} was {bf}{res}str316{sf}{txt} now {bf}{res}str47{sf}
  {txt}variable {bf}slry_apolbur{sf} was {bf}{res}str318{sf}{txt} now {bf}{res}str1{sf}
  {txt}variable {bf}fdout_epol_bgt{sf} was {bf}{res}str373{sf}{txt} now {bf}{res}str19{sf}
  {txt}variable {bf}fdout_apol_bgt{sf} was {bf}{res}str375{sf}{txt} now {bf}{res}str1{sf}
  {txt}variable {bf}budsect_epol{sf} was {bf}{res}str217{sf}{txt} now {bf}{res}str19{sf}
  {txt}variable {bf}budsect_apol{sf} was {bf}{res}str219{sf}{txt} now {bf}{res}str1{sf}
  {txt}variable {bf}acinfexp_epol{sf} was {bf}{res}str216{sf}{txt} now {bf}{res}str19{sf}
  {txt}variable {bf}acinfexp_apol{sf} was {bf}{res}str218{sf}{txt} now {bf}{res}str1{sf}
  {txt}variable {bf}understand_epol{sf} was {bf}{res}str214{sf}{txt} now {bf}{res}str21{sf}
  {txt}variable {bf}understand_apol{sf} was {bf}{res}str216{sf}{txt} now {bf}{res}str21{sf}
  {txt}variable {bf}acttake_epol{sf} was {bf}{res}str247{sf}{txt} now {bf}{res}str163{sf}
  {txt}variable {bf}acttake_epoloth{sf} was {bf}{res}str261{sf}{txt} now {bf}{res}str63{sf}
  {txt}variable {bf}acttake_apol{sf} was {bf}{res}str250{sf}{txt} now {bf}{res}str1{sf}
  {txt}variable {bf}acttake_apoloth{sf} was {bf}{res}str264{sf}{txt} now {bf}{res}str1{sf}
  {txt}variable {bf}likely{sf} was {bf}{res}str159{sf}{txt} now {bf}{res}str18{sf}
  {txt}variable {bf}who_apt_bur{sf} was {bf}{res}str126{sf}{txt} now {bf}{res}str64{sf}
  {txt}variable {bf}who_fir_bur{sf} was {bf}{res}str120{sf}{txt} now {bf}{res}str64{sf}
  {txt}variable {bf}who_fir_buroth{sf} was {bf}{res}str134{sf}{txt} now {bf}{res}str77{sf}
  {txt}variable {bf}ocap_epol{sf} was {bf}{res}str359{sf}{txt} now {bf}{res}str55{sf}
  {txt}variable {bf}ocap_apol{sf} was {bf}{res}str361{sf}{txt} now {bf}{res}str1{sf}
  {txt}variable {bf}prio_epol{sf} was {bf}{res}str209{sf}{txt} now {bf}{res}str73{sf}
  {txt}variable {bf}prio_apol{sf} was {bf}{res}str211{sf}{txt} now {bf}{res}str1{sf}
  {txt}variable {bf}overall_conf{sf} was {bf}{res}str191{sf}{txt} now {bf}{res}str17{sf}
  {txt}variable {bf}avg_educ_buro{sf} was {bf}{res}str117{sf}{txt} now {bf}{res}str101{sf}
  {txt}variable {bf}avg_slry_apol{sf} was {bf}{res}str134{sf}{txt} now {bf}{res}str128{sf}
  {txt}variable {bf}avg_slry_buro{sf} was {bf}{res}str134{sf}{txt} now {bf}{res}str87{sf}
  {txt}variable {bf}confirmation{sf} was {bf}{res}str1148{sf}{txt} now {bf}{res}str63{sf}
{txt}  (462,685 bytes saved)

{com}.         
.         * We edit the label 
.         
.         lab var country "Country"
{txt}
{com}.         lab var full_name  "Full name of recipient"
{txt}
{com}.         lab var recipientemail "Recipient email"
{txt}
{com}.         lab var userlanguage "Language used to answer"
{txt}
{com}.         lab var finished "Completion status"
{txt}
{com}.         lab var progress "Progress"
{txt}
{com}.         lab var duration_minutes "Duration in minutes"
{txt}
{com}.         lab var case_n_unit "Original number of entities"
{txt}
{com}.         lab var unit_num "Unit number"
{txt}
{com}.         
.         * Confirmation
.         
.         fre confirmation
{res}
{txt}confirmation
{txt}{hline 54}{hline 1}{c TT}{hline 44}
{txt}        {txt}                                               {c |}      Freq.    Percent      Valid       Cum.
{txt}{hline 54}{hline 1}{c +}{hline 44}
{txt}Valid   No, this is inaccurate. This level needs to be {c |}{res}          2       3.28       7.14       7.14
{txt}        replaced/deleted                               {c |}{res}                                            
{txt}        No, this level needs to be replaced/deleted    {c |}{res}          2       3.28       7.14      14.29
{txt}        Yes, this is accurate                          {c |}{res}         24      39.34      85.71     100.00
{txt}        Total                                          {c |}{res}         28      45.90     100.00           
{txt}Missing                                                {c |}{res}         33      54.10                      
{txt}Total                                                  {c |}{res}         61     100.00                      
{txt}{hline 54}{hline 1}{c BT}{hline 44}

{com}.         replace confirmation = "1" if confirmation == "Yes, this is accurate"
{txt}(24 real changes made)

{com}.         replace confirmation = "0" if regexm(confirmation,"No")
{txt}(4 real changes made)

{com}.         destring confirmation, replace
{txt}confirmation: all characters numeric; {res}replaced {txt}as {res}byte
{txt}(33 missing values generated)
{res}{txt}
{com}.         
.         lab var confirmation "Confirmation of adequacy of unit"
{txt}
{com}.         lab def confirmation 0 "No, this is not accurate. It should be replaced/deleted" 1 "Yes, this is accurate"
{txt}
{com}.         lab val confirmation confirmation
{txt}
{com}.         
.         fre confirmation
{res}
{txt}confirmation {hline 2} Confirmation of adequacy of unit
{txt}{hline 48}{hline 1}{c TT}{hline 44}
{txt}        {txt}                                         {c |}      Freq.    Percent      Valid       Cum.
{txt}{hline 48}{hline 1}{c +}{hline 44}
{txt}Valid   0 No, this is not accurate. It should be {c |}{res}          4       6.56      14.29      14.29
{txt}          replaced/deleted                       {c |}{res}                                            
{txt}        1 Yes, this is accurate                  {c |}{res}         24      39.34      85.71     100.00
{txt}        Total                                    {c |}{res}         28      45.90     100.00           
{txt}Missing .                                        {c |}{res}         33      54.10                      
{txt}Total                                            {c |}{res}         61     100.00                      
{txt}{hline 48}{hline 1}{c BT}{hline 44}

{com}.         
.         order confirmation, after(unit_num)
{txt}
{com}.         
.         * Creating variable about asked_survey (should be updated)
.         
.         gen asked_survey = 0
{txt}
{com}.         replace asked_survey = 1 if confirmation == 1
{txt}(24 real changes made)

{com}.         lab var asked_survey "Survey question asked to respondent"
{txt}
{com}.         lab def yesno 0 "No" 1 "Yes"
{txt}
{com}.         lab val asked_survey yesno
{txt}
{com}.         order asked_survey, after(confirmation)
{txt}
{com}.         
.         * title_bur
.         
.         lab var title_bur "Title of the highest-level bureaucrat in unit"
{txt}
{com}.         
.         gen test_title_bur = (title_bur != "")
{txt}
{com}.         replace test_title_bur = . if asked_survey == 0
{txt}(37 real changes made, 37 to missing)

{com}.         fre test_title_bur
{res}
{txt}test_title_bur
{txt}{hline 9}{hline 1}{c TT}{hline 44}
{txt}        {txt}  {c |}      Freq.    Percent      Valid       Cum.
{txt}{hline 9}{hline 1}{c +}{hline 44}
{txt}Valid   1 {c |}{res}         24      39.34     100.00     100.00
{txt}Missing . {c |}{res}         37      60.66                      
{txt}Total     {c |}{res}         61     100.00                      
{txt}{hline 9}{hline 1}{c BT}{hline 44}

{com}.         assert inlist(test_title_bur,.,1)
{txt}
{com}.         
.         drop test_title_bur
{txt}
{com}.         
.         * elecpol_ovrsee
.         
.         lab var elecpol_ovrsee "Any politicians in unit overseeing service delivery"
{txt}
{com}.         replace elecpol_ovrsee = "0" if elecpol_ovrsee == "No"
{txt}(2 real changes made)

{com}.         replace elecpol_ovrsee = "1" if elecpol_ovrsee == "Yes"
{txt}(23 real changes made)

{com}.         destring elecpol_ovrsee, replace
{txt}elecpol_ovrsee: all characters numeric; {res}replaced {txt}as {res}byte
{txt}(36 missing values generated)
{res}{txt}
{com}.         lab val elecpol_ovrsee yesno
{txt}
{com}.         
.         fre elecpol_ovrsee
{res}
{txt}elecpol_ovrsee {hline 2} Any politicians in unit overseeing service delivery
{txt}{hline 13}{hline 1}{c TT}{hline 44}
{txt}        {txt}      {c |}      Freq.    Percent      Valid       Cum.
{txt}{hline 13}{hline 1}{c +}{hline 44}
{txt}Valid   0 No  {c |}{res}          2       3.28       8.00       8.00
{txt}        1 Yes {c |}{res}         23      37.70      92.00     100.00
{txt}        Total {c |}{res}         25      40.98     100.00           
{txt}Missing .     {c |}{res}         36      59.02                      
{txt}Total         {c |}{res}         61     100.00                      
{txt}{hline 13}{hline 1}{c BT}{hline 44}

{com}.         
.         gen test_elecpol_ovrsee = (elecpol_ovrsee != .)
{txt}
{com}.         replace test_elecpol_ovrsee = . if asked_survey == 0
{txt}(37 real changes made, 37 to missing)

{com}.         fre test_elecpol_ovrsee
{res}
{txt}test_elecpol_ovrsee
{txt}{hline 9}{hline 1}{c TT}{hline 44}
{txt}        {txt}  {c |}      Freq.    Percent      Valid       Cum.
{txt}{hline 9}{hline 1}{c +}{hline 44}
{txt}Valid   1 {c |}{res}         24      39.34     100.00     100.00
{txt}Missing . {c |}{res}         37      60.66                      
{txt}Total     {c |}{res}         61     100.00                      
{txt}{hline 9}{hline 1}{c BT}{hline 44}

{com}.         assert inlist(test_elecpol_ovrsee,.,1)
{txt}
{com}.         
.         drop test_elecpol_ovrsee
{txt}
{com}.         
.         * title_elecpol
.         
.         lab var title_elecpol "Title of the highest-level elected politician in unit"
{txt}
{com}.         
.         gen test_title_elecpol = (title_elecpol != "")
{txt}
{com}.         replace test_title_elecpol = . if asked_survey == 0
{txt}(37 real changes made, 37 to missing)

{com}.         replace test_title_elecpol = . if elecpol_ovrsee == 0
{txt}(1 real change made, 1 to missing)

{com}.         fre test_title_elecpol
{res}
{txt}test_title_elecpol
{txt}{hline 9}{hline 1}{c TT}{hline 44}
{txt}        {txt}  {c |}      Freq.    Percent      Valid       Cum.
{txt}{hline 9}{hline 1}{c +}{hline 44}
{txt}Valid   1 {c |}{res}         23      37.70     100.00     100.00
{txt}Missing . {c |}{res}         38      62.30                      
{txt}Total     {c |}{res}         61     100.00                      
{txt}{hline 9}{hline 1}{c BT}{hline 44}

{com}.         assert inlist(test_title_elecpol,.,1)
{txt}
{com}.         
.         drop test_title_elecpol
{txt}
{com}.         
.         * aptpol_d
.         
.         fre aptpol_d
{res}
{txt}aptpol_d
{txt}{hline 38}{hline 1}{c TT}{hline 44}
{txt}        {txt}                               {c |}      Freq.    Percent      Valid       Cum.
{txt}{hline 38}{hline 1}{c +}{hline 44}
{txt}Valid   Do not know / Refuse to answer {c |}{res}          1       1.64       4.00       4.00
{txt}        No                             {c |}{res}         15      24.59      60.00      64.00
{txt}        Yes                            {c |}{res}          9      14.75      36.00     100.00
{txt}        Total                          {c |}{res}         25      40.98     100.00           
{txt}Missing                                {c |}{res}         36      59.02                      
{txt}Total                                  {c |}{res}         61     100.00                      
{txt}{hline 38}{hline 1}{c BT}{hline 44}

{com}.         
.         lab var aptpol_d "Politician appointed by higher politician in unit"
{txt}
{com}.         replace aptpol_d = "0" if aptpol_d == "No"
{txt}(15 real changes made)

{com}.         replace aptpol_d = "1" if aptpol_d == "Yes"
{txt}(9 real changes made)

{com}.         replace aptpol_d = "-98" if aptpol_d == "Do not know / Refuse to answer"
{txt}(1 real change made)

{com}.         destring aptpol_d, replace
{txt}aptpol_d: all characters numeric; {res}replaced {txt}as {res}byte
{txt}(36 missing values generated)
{res}{txt}
{com}.         lab val aptpol_d yesno
{txt}
{com}.         
.         fre aptpol_d
{res}
{txt}aptpol_d {hline 2} Politician appointed by higher politician in unit
{txt}{hline 15}{hline 1}{c TT}{hline 44}
{txt}        {txt}        {c |}      Freq.    Percent      Valid       Cum.
{txt}{hline 15}{hline 1}{c +}{hline 44}
{txt}Valid   -98     {c |}{res}          1       1.64       4.00       4.00
{txt}        0   No  {c |}{res}         15      24.59      60.00      64.00
{txt}        1   Yes {c |}{res}          9      14.75      36.00     100.00
{txt}        Total   {c |}{res}         25      40.98     100.00           
{txt}Missing .       {c |}{res}         36      59.02                      
{txt}Total           {c |}{res}         61     100.00                      
{txt}{hline 15}{hline 1}{c BT}{hline 44}

{com}.         
.         gen test_aptpol_d = (aptpol_d != .)
{txt}
{com}.         replace test_aptpol_d = . if asked_survey == 0
{txt}(37 real changes made, 37 to missing)

{com}.         fre test_aptpol_d
{res}
{txt}test_aptpol_d
{txt}{hline 9}{hline 1}{c TT}{hline 44}
{txt}        {txt}  {c |}      Freq.    Percent      Valid       Cum.
{txt}{hline 9}{hline 1}{c +}{hline 44}
{txt}Valid   1 {c |}{res}         24      39.34     100.00     100.00
{txt}Missing . {c |}{res}         37      60.66                      
{txt}Total     {c |}{res}         61     100.00                      
{txt}{hline 9}{hline 1}{c BT}{hline 44}

{com}.         assert inlist(test_aptpol_d,.,1)
{txt}
{com}.         
.         drop test_aptpol_d
{txt}
{com}.         
.         * pol_exist_d
.         
.         gen pol_exist_d = 0
{txt}
{com}.         replace pol_exist_d = 1 if aptpol_d == 1 | elecpol_ovrsee == 1
{txt}(23 real changes made)

{com}.         replace pol_exist_d = . if asked_survey == 0
{txt}(37 real changes made, 37 to missing)

{com}.         lab val pol_exist_d yesno
{txt}
{com}.         lab var pol_exist_d "1 if we have either an appointed or elected politician"
{txt}
{com}.         
.         fre pol_exist_d
{res}
{txt}pol_exist_d {hline 2} 1 if we have either an appointed or elected politician
{txt}{hline 13}{hline 1}{c TT}{hline 44}
{txt}        {txt}      {c |}      Freq.    Percent      Valid       Cum.
{txt}{hline 13}{hline 1}{c +}{hline 44}
{txt}Valid   0 No  {c |}{res}          1       1.64       4.17       4.17
{txt}        1 Yes {c |}{res}         23      37.70      95.83     100.00
{txt}        Total {c |}{res}         24      39.34     100.00           
{txt}Missing .     {c |}{res}         37      60.66                      
{txt}Total         {c |}{res}         61     100.00                      
{txt}{hline 13}{hline 1}{c BT}{hline 44}

{com}.         order pol_exist_d, after(aptpol_d)
{txt}
{com}.         
.         * title_aptpol
.         
.         lab var title_aptpol "Title of the highest-level appointed politician in unit"
{txt}
{com}.         
.         gen test_title_aptpol = (title_aptpol != "")
{txt}
{com}.         replace test_title_aptpol = . if asked_survey == 0 
{txt}(37 real changes made, 37 to missing)

{com}.         replace test_title_aptpol = . if aptpol_d == 0 | aptpol_d == -98
{txt}(15 real changes made, 15 to missing)

{com}.         fre test_title_aptpol
{res}
{txt}test_title_aptpol
{txt}{hline 9}{hline 1}{c TT}{hline 44}
{txt}        {txt}  {c |}      Freq.    Percent      Valid       Cum.
{txt}{hline 9}{hline 1}{c +}{hline 44}
{txt}Valid   1 {c |}{res}          9      14.75     100.00     100.00
{txt}Missing . {c |}{res}         52      85.25                      
{txt}Total     {c |}{res}         61     100.00                      
{txt}{hline 9}{hline 1}{c BT}{hline 44}

{com}.         assert inlist(test_title_aptpol,.,1)
{txt}
{com}.         
.         drop test_title_aptpol
{txt}
{com}.         
.         * who_aptpol
.         
.         lab var who_aptpol "Who appoints the highest-level appointed politician in unit"
{txt}
{com}.         
.         gen test_who_aptpol = (who_aptpol != "")
{txt}
{com}.         replace test_who_aptpol = . if asked_survey == 0 
{txt}(37 real changes made, 37 to missing)

{com}.         replace test_who_aptpol = . if aptpol_d == 0
{txt}(14 real changes made, 14 to missing)

{com}.         fre test_who_aptpol
{res}
{txt}test_who_aptpol
{txt}{hline 13}{hline 1}{c TT}{hline 44}
{txt}        {txt}      {c |}      Freq.    Percent      Valid       Cum.
{txt}{hline 13}{hline 1}{c +}{hline 44}
{txt}Valid   0     {c |}{res}          1       1.64      10.00      10.00
{txt}        1     {c |}{res}          9      14.75      90.00     100.00
{txt}        Total {c |}{res}         10      16.39     100.00           
{txt}Missing .     {c |}{res}         51      83.61                      
{txt}Total         {c |}{res}         61     100.00                      
{txt}{hline 13}{hline 1}{c BT}{hline 44}

{com}.         assert inlist(test_who_aptpol,.,1)
{txt}1 contradiction in 61 observations
{err}assertion is false
{txt}{search r(9), local:r(9);}

end of do-file

{search r(9), local:r(9);}

{com}. do "/var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//SD44938.000000"
{txt}
{com}. 
.         * Purpose: Importing data to run HFC
.         
.         * Setting up globals
.         
.         if "`c(username)'" == "fredericcochinard" {c -(}
.                 
.                 global import_folder "/Users/fredericcochinard/Dropbox/Expert survey/Data/0.survey_dataset/0.import"
.                 global output "/Users/fredericcochinard/Dropbox/Expert survey/Data/0.survey_dataset/1.output"
.                 
.                 {c )-}
{txt}
{com}.                 
.         if "`c(username)'" == "" {c -(}
.         
.                 
.                 {c )-}
{txt}
{com}.         
.         * Looking for renaming folder with problem
.         
.         local myfiles: dir "$import_folder" files "*.xlsx"
{txt}
{com}. 
.         foreach file of local myfiles {c -(}
{txt}  2{com}.                 
.                 local subfile = substr("`file'", 1, .)
{txt}  3{com}.                 local subfile : subinstr local subfile " " "_", all
{txt}  4{com}.                 ! mv "${c -(}import_folder{c )-}/`file'" "${c -(}import_folder{c )-}/`subfile'"
{txt}  5{com}.                 
.                 {c )-}
{txt}

{com}.         
.         * Looking for dataset
.         
.         filelist , dir("$import_folder") pat("*.xlsx")
{res}{txt}Number of files found = {res}1
{txt}
{com}.         
.         gen url = filename
{txt}
{com}.         
.         levelsof url
{txt}`"Expert_survey_February_18,_2025_16.23.xlsx"'

{com}. 
.         local lvlfiles `r(levels)'
{txt}
{com}.         
.         local z = 0
{txt}
{com}.         
.         foreach lvl of local lvlfiles {c -(}
{txt}  2{com}.         
.                 local z = `z' + 1
{txt}  3{com}.                 
.                 local temp : subinstr local lvl `"""' "", all
{txt}  4{com}.                 local url : subinstr local temp "'" "", all
{txt}  5{com}.         
.                 import excel "${c -(}import_folder{c )-}/`url'", first case(lower) clear
{txt}  6{com}.                 
.                 gen num = _n
{txt}  7{com}.                 drop if num == 1
{txt}  8{com}.                 
.                 * Preparing the append
.                 
.                 tempfile data`z'
{txt}  9{com}.                 sa "`data`z''"
{txt} 10{com}.                 
.                 {c )-}
{res}{txt}(1 observation deleted)
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.000001 saved

{com}.                 
.         * We append the dataset to start cleaning
.         
.         use "`data1'", clear
{txt}
{com}.         
.         forvalues x = 2/`z' {c -(}
{txt}  2{com}.         
.                 append using "`data`x''"
{txt}  3{com}.                 
.                 {c )-}
{txt}
{com}.                 
.         duplicates drop

{p 0 4}{txt}Duplicates in terms of {txt} all variables{p_end}

(0 observations are duplicates)

{com}.         
.         * We keep relevant variable
.         drop if recipientemail == "frederic.cochinard@gmail.com"
{txt}(8 observations deleted)

{com}.         drop if recipientemail == "vedpant+spanish@college.harvard.edu"
{txt}(1 observation deleted)

{com}.         drop if recipientemail == "frederic.cochinard+3@gmail.com"
{txt}(1 observation deleted)

{com}.         drop if recipientemail == "frederic.cochinard+1@gmail.com"
{txt}(1 observation deleted)

{com}.         
.         * We remove observation that are not finished
.         drop if finished == "False"
{txt}(9 observations deleted)

{com}.         
.         * We create a save
.         
.         tempfile save_data
{txt}
{com}.         sa "`save_data'"
{txt}file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.000002 saved

{com}.         
.         * Main form of survey 
.         keep country full_name recipientemail responseid progress durationinseconds finished userlanguage num_unit confirmation_* ///
>         title_bur* elecpol_ovrsee* title_elecpol* aptpol_d* title_aptpol* who_aptpol* mostinf_servdel* educ_elecpolbur* ///
>         educ_apolbur* slry_elecpolbur* slry_apolbur* fdout_epol_bgt* fdout_apol_bgt* budsect_epol* budsect_apol* acinfexp_epol* /// 
>         acinfexp_apol* understand_epol* understand_apol* acttake_epol* acttake_epol* acttake_apol* acttake_apol* likely* why_likchan* /// 
>         who_apt_bur* who_apt_bur* who_fir_bur* who_fir_bur* ocap_epol* ocap_apol* prio_epol* prio_apol* overall_conf* avg_educ_epol* ///
>         avg_educ_apol* avg_educ_buro* avg_slry_epol* avg_slry_apol* avg_slry_buro* //
{txt}
{com}.         
.         destring durationinseconds progress, replace
{txt}durationinseconds: all characters numeric; {res}replaced {txt}as {res}int
{txt}progress: all characters numeric; {res}replaced {txt}as {res}byte
{txt}
{com}.         replace durationinseconds = round(durationinseconds/60)
{txt}(11 real changes made)

{com}.         ren durationinseconds duration_minutes
{res}{txt}
{com}. 
.         *--
.         
.         local id country full_name recipientemail responseid userlanguage num_unit finished progress duration_minutes
{txt}
{com}.         
.         order `id', first
{txt}
{com}.         duplicates drop `id', force

{p 0 4}{txt}Duplicates in terms of {res} country full_name recipientemail responseid userlanguage num_unit finished progress duration_minutes{p_end}

{txt}(0 observations are duplicates)

{com}.         
.         * Renaming others
.         
.         forvalues x = 1/3 {c -(}
{txt}  2{com}.                 
.                 forvalues y = 1/6 {c -(} 
{txt}  3{com}.                 
.                         cap ren who_apt_bur_`x'_`y'_8_text who_apt_buroth_`x'_`y'
{txt}  4{com}.                         cap ren who_fir_bur_`x'_`y'_8_text who_fir_buroth_`x'_`y'
{txt}  5{com}.                         cap ren acttake_epol_`x'_`y'_9_text acttake_epoloth_`x'_`y'
{txt}  6{com}.                         cap ren acttake_apol_`x'_`y'_9_text acttake_apoloth_`x'_`y'
{txt}  7{com}.                         
.                         {c )-}
{txt}  8{com}.                         
.                 {c )-}
{txt}
{com}.         
.         #delimit ;
{txt}delimiter now ;
{com}.         local var confirmation
>         title_bur 
>         elecpol_ovrsee
>         title_elecpol
>         aptpol_d
>         title_aptpol
>         who_aptpol
>         mostinf_servdel
>         educ_elecpolbur
>         educ_apolbur
>         slry_elecpolbur
>         slry_apolbur
>         fdout_epol_bgt
>         fdout_apol_bgt
>         budsect_epol
>         budsect_apol
>         acinfexp_epol
>         acinfexp_apol
>         understand_epol
>         understand_apol
>         acttake_epol
>         acttake_epoloth
>         acttake_apol
>         acttake_apoloth
>         likely
>         why_likchan
>         who_apt_bur
>         who_apt_buroth
>         who_fir_bur
>         who_fir_buroth
>         ocap_epol
>         ocap_apol
>         prio_epol
>         prio_apol
>         overall_conf
>         avg_educ_epol
>         avg_educ_apol
>         avg_educ_buro
>         avg_slry_epol
>         avg_slry_apol
>         avg_slry_buro
>         
>         ;
{txt}
{com}.                 #delimit cr
{txt}delimiter now cr
{com}. 
.         reshape long `var', i(`id') j(pos) s
{txt}(note: j = _1_1 _1_4 _1_5 _1_6 _2_1 _2_2 _2_4 _2_5 _2_6 _3_1 _3_2 _3_3 _3_4 _3_5 _3_6)
(note: confirmation_1_4 not found)
(note: confirmation_1_5 not found)
(note: confirmation_1_6 not found)
(note: confirmation_2_4 not found)
(note: confirmation_2_5 not found)
(note: confirmation_2_6 not found)
(note: confirmation_3_4 not found)
(note: confirmation_3_5 not found)
(note: confirmation_3_6 not found)

Data{col 36}wide{col 43}->{col 48}long
{hline 77}
Number of obs.                 {res}      11   {txt}->{res}     165
{txt}Number of variables            {res}     615   {txt}->{res}      51
{txt}j variable (15 values)                    ->   {res}pos
{txt}xij variables:
{res}confirmation_1_1 confirmation_1_4 ... confirmation_3_6{txt}->{res}confirmation
title_bur_1_1 title_bur_1_4 ... title_bur_3_6{txt}->{res}title_bur
elecpol_ovrsee_1_1 elecpol_ovrsee_1_4 ... elecpol_ovrsee_3_6{txt}->{res}elecpol_ovrsee
title_elecpol_1_1 title_elecpol_1_4 ... title_elecpol_3_6{txt}->{res}title_elecpol
aptpol_d_1_1 aptpol_d_1_4 ... aptpol_d_3_6{txt}->   {res}aptpol_d
title_aptpol_1_1 title_aptpol_1_4 ... title_aptpol_3_6{txt}->{res}title_aptpol
who_aptpol_1_1 who_aptpol_1_4 ... who_aptpol_3_6{txt}->{res}who_aptpol
mostinf_servdel_1_1 mostinf_servdel_1_4 ... mostinf_servdel_3_6{txt}->{res}mostinf_servdel
educ_elecpolbur_1_1 educ_elecpolbur_1_4 ... educ_elecpolbur_3_6{txt}->{res}educ_elecpolbur
educ_apolbur_1_1 educ_apolbur_1_4 ... educ_apolbur_3_6{txt}->{res}educ_apolbur
slry_elecpolbur_1_1 slry_elecpolbur_1_4 ... slry_elecpolbur_3_6{txt}->{res}slry_elecpolbur
slry_apolbur_1_1 slry_apolbur_1_4 ... slry_apolbur_3_6{txt}->{res}slry_apolbur
fdout_epol_bgt_1_1 fdout_epol_bgt_1_4 ... fdout_epol_bgt_3_6{txt}->{res}fdout_epol_bgt
fdout_apol_bgt_1_1 fdout_apol_bgt_1_4 ... fdout_apol_bgt_3_6{txt}->{res}fdout_apol_bgt
budsect_epol_1_1 budsect_epol_1_4 ... budsect_epol_3_6{txt}->{res}budsect_epol
budsect_apol_1_1 budsect_apol_1_4 ... budsect_apol_3_6{txt}->{res}budsect_apol
acinfexp_epol_1_1 acinfexp_epol_1_4 ... acinfexp_epol_3_6{txt}->{res}acinfexp_epol
acinfexp_apol_1_1 acinfexp_apol_1_4 ... acinfexp_apol_3_6{txt}->{res}acinfexp_apol
understand_epol_1_1 understand_epol_1_4 ... understand_epol_3_6{txt}->{res}understand_epol
understand_apol_1_1 understand_apol_1_4 ... understand_apol_3_6{txt}->{res}understand_apol
acttake_epol_1_1 acttake_epol_1_4 ... acttake_epol_3_6{txt}->{res}acttake_epol
acttake_epoloth_1_1 acttake_epoloth_1_4 ... acttake_epoloth_3_6{txt}->{res}acttake_epoloth
acttake_apol_1_1 acttake_apol_1_4 ... acttake_apol_3_6{txt}->{res}acttake_apol
acttake_apoloth_1_1 acttake_apoloth_1_4 ... acttake_apoloth_3_6{txt}->{res}acttake_apoloth
   likely_1_1 likely_1_4 ... likely_3_6   {txt}->   {res}likely
why_likchan_1_1 why_likchan_1_4 ... why_likchan_3_6{txt}->{res}why_likchan
who_apt_bur_1_1 who_apt_bur_1_4 ... who_apt_bur_3_6{txt}->{res}who_apt_bur
who_apt_buroth_1_1 who_apt_buroth_1_4 ... who_apt_buroth_3_6{txt}->{res}who_apt_buroth
who_fir_bur_1_1 who_fir_bur_1_4 ... who_fir_bur_3_6{txt}->{res}who_fir_bur
who_fir_buroth_1_1 who_fir_buroth_1_4 ... who_fir_buroth_3_6{txt}->{res}who_fir_buroth
ocap_epol_1_1 ocap_epol_1_4 ... ocap_epol_3_6{txt}->{res}ocap_epol
ocap_apol_1_1 ocap_apol_1_4 ... ocap_apol_3_6{txt}->{res}ocap_apol
prio_epol_1_1 prio_epol_1_4 ... prio_epol_3_6{txt}->{res}prio_epol
prio_apol_1_1 prio_apol_1_4 ... prio_apol_3_6{txt}->{res}prio_apol
overall_conf_1_1 overall_conf_1_4 ... overall_conf_3_6{txt}->{res}overall_conf
avg_educ_epol_1_1 avg_educ_epol_1_4 ... avg_educ_epol_3_6{txt}->{res}avg_educ_epol
avg_educ_apol_1_1 avg_educ_apol_1_4 ... avg_educ_apol_3_6{txt}->{res}avg_educ_apol
avg_educ_buro_1_1 avg_educ_buro_1_4 ... avg_educ_buro_3_6{txt}->{res}avg_educ_buro
avg_slry_epol_1_1 avg_slry_epol_1_4 ... avg_slry_epol_3_6{txt}->{res}avg_slry_epol
avg_slry_apol_1_1 avg_slry_apol_1_4 ... avg_slry_apol_3_6{txt}->{res}avg_slry_apol
avg_slry_buro_1_1 avg_slry_buro_1_4 ... avg_slry_buro_3_6{txt}->{res}avg_slry_buro
{txt}{hline 77}

{com}.         
.         * Filter data
.         
.         split pos, p("_")
{res}variables created as string: 
{txt}{col 1}pos1{col 7}pos2{col 13}pos3

{com}.         
.         drop pos1
{txt}
{com}.         ren pos2 case_n_unit
{res}{txt}
{com}.         ren pos3 unit_num
{res}{txt}
{com}.         destring case_n_unit unit_num, replace
{txt}case_n_unit: all characters numeric; {res}replaced {txt}as {res}byte
{txt}unit_num: all characters numeric; {res}replaced {txt}as {res}byte
{txt}
{com}.         order case_n_unit unit_num, after(duration_minutes)
{txt}
{com}.         drop pos
{txt}
{com}.         
.         destring num_unit, replace
{txt}num_unit: all characters numeric; {res}replaced {txt}as {res}byte
{txt}
{com}.         drop if num_unit != case_n_unit
{txt}(104 observations deleted)

{com}.         drop num_unit
{txt}
{com}.         
.         compress
  {txt}variable {bf}country{sf} was {bf}{res}str15{sf}{txt} now {bf}{res}str11{sf}
  {txt}variable {bf}full_name{sf} was {bf}{res}str28{sf}{txt} now {bf}{res}str23{sf}
  {txt}variable {bf}recipientemail{sf} was {bf}{res}str35{sf}{txt} now {bf}{res}str32{sf}
  {txt}variable {bf}userlanguage{sf} was {bf}{res}str13{sf}{txt} now {bf}{res}str2{sf}
  {txt}variable {bf}finished{sf} was {bf}{res}str8{sf}{txt} now {bf}{res}str4{sf}
  {txt}variable {bf}title_bur{sf} was {bf}{res}str448{sf}{txt} now {bf}{res}str235{sf}
  {txt}variable {bf}elecpol_ovrsee{sf} was {bf}{res}str352{sf}{txt} now {bf}{res}str3{sf}
  {txt}variable {bf}title_elecpol{sf} was {bf}{res}str312{sf}{txt} now {bf}{res}str288{sf}
  {txt}variable {bf}aptpol_d{sf} was {bf}{res}str332{sf}{txt} now {bf}{res}str30{sf}
  {txt}variable {bf}who_aptpol{sf} was {bf}{res}str96{sf}{txt} now {bf}{res}str84{sf}
  {txt}variable {bf}mostinf_servdel{sf} was {bf}{res}str256{sf}{txt} now {bf}{res}str44{sf}
  {txt}variable {bf}educ_elecpolbur{sf} was {bf}{res}str258{sf}{txt} now {bf}{res}str51{sf}
  {txt}variable {bf}educ_apolbur{sf} was {bf}{res}str260{sf}{txt} now {bf}{res}str1{sf}
  {txt}variable {bf}slry_elecpolbur{sf} was {bf}{res}str316{sf}{txt} now {bf}{res}str47{sf}
  {txt}variable {bf}slry_apolbur{sf} was {bf}{res}str318{sf}{txt} now {bf}{res}str1{sf}
  {txt}variable {bf}fdout_epol_bgt{sf} was {bf}{res}str373{sf}{txt} now {bf}{res}str19{sf}
  {txt}variable {bf}fdout_apol_bgt{sf} was {bf}{res}str375{sf}{txt} now {bf}{res}str1{sf}
  {txt}variable {bf}budsect_epol{sf} was {bf}{res}str217{sf}{txt} now {bf}{res}str19{sf}
  {txt}variable {bf}budsect_apol{sf} was {bf}{res}str219{sf}{txt} now {bf}{res}str1{sf}
  {txt}variable {bf}acinfexp_epol{sf} was {bf}{res}str216{sf}{txt} now {bf}{res}str19{sf}
  {txt}variable {bf}acinfexp_apol{sf} was {bf}{res}str218{sf}{txt} now {bf}{res}str1{sf}
  {txt}variable {bf}understand_epol{sf} was {bf}{res}str214{sf}{txt} now {bf}{res}str21{sf}
  {txt}variable {bf}understand_apol{sf} was {bf}{res}str216{sf}{txt} now {bf}{res}str21{sf}
  {txt}variable {bf}acttake_epol{sf} was {bf}{res}str247{sf}{txt} now {bf}{res}str163{sf}
  {txt}variable {bf}acttake_epoloth{sf} was {bf}{res}str261{sf}{txt} now {bf}{res}str63{sf}
  {txt}variable {bf}acttake_apol{sf} was {bf}{res}str250{sf}{txt} now {bf}{res}str1{sf}
  {txt}variable {bf}acttake_apoloth{sf} was {bf}{res}str264{sf}{txt} now {bf}{res}str1{sf}
  {txt}variable {bf}likely{sf} was {bf}{res}str159{sf}{txt} now {bf}{res}str18{sf}
  {txt}variable {bf}who_apt_bur{sf} was {bf}{res}str126{sf}{txt} now {bf}{res}str64{sf}
  {txt}variable {bf}who_fir_bur{sf} was {bf}{res}str120{sf}{txt} now {bf}{res}str64{sf}
  {txt}variable {bf}who_fir_buroth{sf} was {bf}{res}str134{sf}{txt} now {bf}{res}str77{sf}
  {txt}variable {bf}ocap_epol{sf} was {bf}{res}str359{sf}{txt} now {bf}{res}str55{sf}
  {txt}variable {bf}ocap_apol{sf} was {bf}{res}str361{sf}{txt} now {bf}{res}str1{sf}
  {txt}variable {bf}prio_epol{sf} was {bf}{res}str209{sf}{txt} now {bf}{res}str73{sf}
  {txt}variable {bf}prio_apol{sf} was {bf}{res}str211{sf}{txt} now {bf}{res}str1{sf}
  {txt}variable {bf}overall_conf{sf} was {bf}{res}str191{sf}{txt} now {bf}{res}str17{sf}
  {txt}variable {bf}avg_educ_buro{sf} was {bf}{res}str117{sf}{txt} now {bf}{res}str101{sf}
  {txt}variable {bf}avg_slry_apol{sf} was {bf}{res}str134{sf}{txt} now {bf}{res}str128{sf}
  {txt}variable {bf}avg_slry_buro{sf} was {bf}{res}str134{sf}{txt} now {bf}{res}str87{sf}
  {txt}variable {bf}confirmation{sf} was {bf}{res}str1148{sf}{txt} now {bf}{res}str63{sf}
{txt}  (462,685 bytes saved)

{com}.         
.         * We edit the label 
.         
.         lab var country "Country"
{txt}
{com}.         lab var full_name  "Full name of recipient"
{txt}
{com}.         lab var recipientemail "Recipient email"
{txt}
{com}.         lab var userlanguage "Language used to answer"
{txt}
{com}.         lab var finished "Completion status"
{txt}
{com}.         lab var progress "Progress"
{txt}
{com}.         lab var duration_minutes "Duration in minutes"
{txt}
{com}.         lab var case_n_unit "Original number of entities"
{txt}
{com}.         lab var unit_num "Unit number"
{txt}
{com}.         
.         * Confirmation
.         
.         fre confirmation
{res}
{txt}confirmation
{txt}{hline 54}{hline 1}{c TT}{hline 44}
{txt}        {txt}                                               {c |}      Freq.    Percent      Valid       Cum.
{txt}{hline 54}{hline 1}{c +}{hline 44}
{txt}Valid   No, this is inaccurate. This level needs to be {c |}{res}          2       3.28       7.14       7.14
{txt}        replaced/deleted                               {c |}{res}                                            
{txt}        No, this level needs to be replaced/deleted    {c |}{res}          2       3.28       7.14      14.29
{txt}        Yes, this is accurate                          {c |}{res}         24      39.34      85.71     100.00
{txt}        Total                                          {c |}{res}         28      45.90     100.00           
{txt}Missing                                                {c |}{res}         33      54.10                      
{txt}Total                                                  {c |}{res}         61     100.00                      
{txt}{hline 54}{hline 1}{c BT}{hline 44}

{com}.         replace confirmation = "1" if confirmation == "Yes, this is accurate"
{txt}(24 real changes made)

{com}.         replace confirmation = "0" if regexm(confirmation,"No")
{txt}(4 real changes made)

{com}.         destring confirmation, replace
{txt}confirmation: all characters numeric; {res}replaced {txt}as {res}byte
{txt}(33 missing values generated)
{res}{txt}
{com}.         
.         lab var confirmation "Confirmation of adequacy of unit"
{txt}
{com}.         lab def confirmation 0 "No, this is not accurate. It should be replaced/deleted" 1 "Yes, this is accurate"
{txt}
{com}.         lab val confirmation confirmation
{txt}
{com}.         
.         fre confirmation
{res}
{txt}confirmation {hline 2} Confirmation of adequacy of unit
{txt}{hline 48}{hline 1}{c TT}{hline 44}
{txt}        {txt}                                         {c |}      Freq.    Percent      Valid       Cum.
{txt}{hline 48}{hline 1}{c +}{hline 44}
{txt}Valid   0 No, this is not accurate. It should be {c |}{res}          4       6.56      14.29      14.29
{txt}          replaced/deleted                       {c |}{res}                                            
{txt}        1 Yes, this is accurate                  {c |}{res}         24      39.34      85.71     100.00
{txt}        Total                                    {c |}{res}         28      45.90     100.00           
{txt}Missing .                                        {c |}{res}         33      54.10                      
{txt}Total                                            {c |}{res}         61     100.00                      
{txt}{hline 48}{hline 1}{c BT}{hline 44}

{com}.         
.         order confirmation, after(unit_num)
{txt}
{com}.         
.         * Creating variable about asked_survey (should be updated)
.         
.         gen asked_survey = 0
{txt}
{com}.         replace asked_survey = 1 if confirmation == 1
{txt}(24 real changes made)

{com}.         lab var asked_survey "Survey question asked to respondent"
{txt}
{com}.         lab def yesno 0 "No" 1 "Yes"
{txt}
{com}.         lab val asked_survey yesno
{txt}
{com}.         order asked_survey, after(confirmation)
{txt}
{com}.         
.         * title_bur
.         
.         lab var title_bur "Title of the highest-level bureaucrat in unit"
{txt}
{com}.         
.         gen test_title_bur = (title_bur != "")
{txt}
{com}.         replace test_title_bur = . if asked_survey == 0
{txt}(37 real changes made, 37 to missing)

{com}.         fre test_title_bur
{res}
{txt}test_title_bur
{txt}{hline 9}{hline 1}{c TT}{hline 44}
{txt}        {txt}  {c |}      Freq.    Percent      Valid       Cum.
{txt}{hline 9}{hline 1}{c +}{hline 44}
{txt}Valid   1 {c |}{res}         24      39.34     100.00     100.00
{txt}Missing . {c |}{res}         37      60.66                      
{txt}Total     {c |}{res}         61     100.00                      
{txt}{hline 9}{hline 1}{c BT}{hline 44}

{com}.         assert inlist(test_title_bur,.,1)
{txt}
{com}.         
.         drop test_title_bur
{txt}
{com}.         
.         * elecpol_ovrsee
.         
.         lab var elecpol_ovrsee "Any politicians in unit overseeing service delivery"
{txt}
{com}.         replace elecpol_ovrsee = "0" if elecpol_ovrsee == "No"
{txt}(2 real changes made)

{com}.         replace elecpol_ovrsee = "1" if elecpol_ovrsee == "Yes"
{txt}(23 real changes made)

{com}.         destring elecpol_ovrsee, replace
{txt}elecpol_ovrsee: all characters numeric; {res}replaced {txt}as {res}byte
{txt}(36 missing values generated)
{res}{txt}
{com}.         lab val elecpol_ovrsee yesno
{txt}
{com}.         
.         fre elecpol_ovrsee
{res}
{txt}elecpol_ovrsee {hline 2} Any politicians in unit overseeing service delivery
{txt}{hline 13}{hline 1}{c TT}{hline 44}
{txt}        {txt}      {c |}      Freq.    Percent      Valid       Cum.
{txt}{hline 13}{hline 1}{c +}{hline 44}
{txt}Valid   0 No  {c |}{res}          2       3.28       8.00       8.00
{txt}        1 Yes {c |}{res}         23      37.70      92.00     100.00
{txt}        Total {c |}{res}         25      40.98     100.00           
{txt}Missing .     {c |}{res}         36      59.02                      
{txt}Total         {c |}{res}         61     100.00                      
{txt}{hline 13}{hline 1}{c BT}{hline 44}

{com}.         
.         gen test_elecpol_ovrsee = (elecpol_ovrsee != .)
{txt}
{com}.         replace test_elecpol_ovrsee = . if asked_survey == 0
{txt}(37 real changes made, 37 to missing)

{com}.         fre test_elecpol_ovrsee
{res}
{txt}test_elecpol_ovrsee
{txt}{hline 9}{hline 1}{c TT}{hline 44}
{txt}        {txt}  {c |}      Freq.    Percent      Valid       Cum.
{txt}{hline 9}{hline 1}{c +}{hline 44}
{txt}Valid   1 {c |}{res}         24      39.34     100.00     100.00
{txt}Missing . {c |}{res}         37      60.66                      
{txt}Total     {c |}{res}         61     100.00                      
{txt}{hline 9}{hline 1}{c BT}{hline 44}

{com}.         assert inlist(test_elecpol_ovrsee,.,1)
{txt}
{com}.         
.         drop test_elecpol_ovrsee
{txt}
{com}.         
.         * title_elecpol
.         
.         lab var title_elecpol "Title of the highest-level elected politician in unit"
{txt}
{com}.         
.         gen test_title_elecpol = (title_elecpol != "")
{txt}
{com}.         replace test_title_elecpol = . if asked_survey == 0
{txt}(37 real changes made, 37 to missing)

{com}.         replace test_title_elecpol = . if elecpol_ovrsee == 0
{txt}(1 real change made, 1 to missing)

{com}.         fre test_title_elecpol
{res}
{txt}test_title_elecpol
{txt}{hline 9}{hline 1}{c TT}{hline 44}
{txt}        {txt}  {c |}      Freq.    Percent      Valid       Cum.
{txt}{hline 9}{hline 1}{c +}{hline 44}
{txt}Valid   1 {c |}{res}         23      37.70     100.00     100.00
{txt}Missing . {c |}{res}         38      62.30                      
{txt}Total     {c |}{res}         61     100.00                      
{txt}{hline 9}{hline 1}{c BT}{hline 44}

{com}.         assert inlist(test_title_elecpol,.,1)
{txt}
{com}.         
.         drop test_title_elecpol
{txt}
{com}.         
.         * aptpol_d
.         
.         fre aptpol_d
{res}
{txt}aptpol_d
{txt}{hline 38}{hline 1}{c TT}{hline 44}
{txt}        {txt}                               {c |}      Freq.    Percent      Valid       Cum.
{txt}{hline 38}{hline 1}{c +}{hline 44}
{txt}Valid   Do not know / Refuse to answer {c |}{res}          1       1.64       4.00       4.00
{txt}        No                             {c |}{res}         15      24.59      60.00      64.00
{txt}        Yes                            {c |}{res}          9      14.75      36.00     100.00
{txt}        Total                          {c |}{res}         25      40.98     100.00           
{txt}Missing                                {c |}{res}         36      59.02                      
{txt}Total                                  {c |}{res}         61     100.00                      
{txt}{hline 38}{hline 1}{c BT}{hline 44}

{com}.         
.         lab var aptpol_d "Politician appointed by higher politician in unit"
{txt}
{com}.         replace aptpol_d = "0" if aptpol_d == "No"
{txt}(15 real changes made)

{com}.         replace aptpol_d = "1" if aptpol_d == "Yes"
{txt}(9 real changes made)

{com}.         replace aptpol_d = "-98" if aptpol_d == "Do not know / Refuse to answer"
{txt}(1 real change made)

{com}.         destring aptpol_d, replace
{txt}aptpol_d: all characters numeric; {res}replaced {txt}as {res}byte
{txt}(36 missing values generated)
{res}{txt}
{com}.         lab val aptpol_d yesno
{txt}
{com}.         
.         fre aptpol_d
{res}
{txt}aptpol_d {hline 2} Politician appointed by higher politician in unit
{txt}{hline 15}{hline 1}{c TT}{hline 44}
{txt}        {txt}        {c |}      Freq.    Percent      Valid       Cum.
{txt}{hline 15}{hline 1}{c +}{hline 44}
{txt}Valid   -98     {c |}{res}          1       1.64       4.00       4.00
{txt}        0   No  {c |}{res}         15      24.59      60.00      64.00
{txt}        1   Yes {c |}{res}          9      14.75      36.00     100.00
{txt}        Total   {c |}{res}         25      40.98     100.00           
{txt}Missing .       {c |}{res}         36      59.02                      
{txt}Total           {c |}{res}         61     100.00                      
{txt}{hline 15}{hline 1}{c BT}{hline 44}

{com}.         
.         gen test_aptpol_d = (aptpol_d != .)
{txt}
{com}.         replace test_aptpol_d = . if asked_survey == 0
{txt}(37 real changes made, 37 to missing)

{com}.         fre test_aptpol_d
{res}
{txt}test_aptpol_d
{txt}{hline 9}{hline 1}{c TT}{hline 44}
{txt}        {txt}  {c |}      Freq.    Percent      Valid       Cum.
{txt}{hline 9}{hline 1}{c +}{hline 44}
{txt}Valid   1 {c |}{res}         24      39.34     100.00     100.00
{txt}Missing . {c |}{res}         37      60.66                      
{txt}Total     {c |}{res}         61     100.00                      
{txt}{hline 9}{hline 1}{c BT}{hline 44}

{com}.         assert inlist(test_aptpol_d,.,1)
{txt}
{com}.         
.         drop test_aptpol_d
{txt}
{com}.         
.         * pol_exist_d
.         
.         gen pol_exist_d = 0
{txt}
{com}.         replace pol_exist_d = 1 if aptpol_d == 1 | elecpol_ovrsee == 1
{txt}(23 real changes made)

{com}.         replace pol_exist_d = . if asked_survey == 0
{txt}(37 real changes made, 37 to missing)

{com}.         lab val pol_exist_d yesno
{txt}
{com}.         lab var pol_exist_d "1 if we have either an appointed or elected politician"
{txt}
{com}.         
.         fre pol_exist_d
{res}
{txt}pol_exist_d {hline 2} 1 if we have either an appointed or elected politician
{txt}{hline 13}{hline 1}{c TT}{hline 44}
{txt}        {txt}      {c |}      Freq.    Percent      Valid       Cum.
{txt}{hline 13}{hline 1}{c +}{hline 44}
{txt}Valid   0 No  {c |}{res}          1       1.64       4.17       4.17
{txt}        1 Yes {c |}{res}         23      37.70      95.83     100.00
{txt}        Total {c |}{res}         24      39.34     100.00           
{txt}Missing .     {c |}{res}         37      60.66                      
{txt}Total         {c |}{res}         61     100.00                      
{txt}{hline 13}{hline 1}{c BT}{hline 44}

{com}.         order pol_exist_d, after(aptpol_d)
{txt}
{com}.         
.         * title_aptpol
.         
.         lab var title_aptpol "Title of the highest-level appointed politician in unit"
{txt}
{com}.         
.         gen test_title_aptpol = (title_aptpol != "")
{txt}
{com}.         replace test_title_aptpol = . if asked_survey == 0 
{txt}(37 real changes made, 37 to missing)

{com}.         replace test_title_aptpol = . if aptpol_d == 0 | aptpol_d == -98
{txt}(15 real changes made, 15 to missing)

{com}.         fre test_title_aptpol
{res}
{txt}test_title_aptpol
{txt}{hline 9}{hline 1}{c TT}{hline 44}
{txt}        {txt}  {c |}      Freq.    Percent      Valid       Cum.
{txt}{hline 9}{hline 1}{c +}{hline 44}
{txt}Valid   1 {c |}{res}          9      14.75     100.00     100.00
{txt}Missing . {c |}{res}         52      85.25                      
{txt}Total     {c |}{res}         61     100.00                      
{txt}{hline 9}{hline 1}{c BT}{hline 44}

{com}.         assert inlist(test_title_aptpol,.,1)
{txt}
{com}.         
.         drop test_title_aptpol
{txt}
{com}.         
.         * who_aptpol
.         
.         lab var who_aptpol "Who appoints the highest-level appointed politician in unit"
{txt}
{com}.         
.         gen test_who_aptpol = (who_aptpol != "")
{txt}
{com}.         replace test_who_aptpol = . if asked_survey == 0 
{txt}(37 real changes made, 37 to missing)

{com}.         replace test_who_aptpol = . if aptpol_d == 0 | aptpol_d == -98
{txt}(15 real changes made, 15 to missing)

{com}.         fre test_who_aptpol
{res}
{txt}test_who_aptpol
{txt}{hline 9}{hline 1}{c TT}{hline 44}
{txt}        {txt}  {c |}      Freq.    Percent      Valid       Cum.
{txt}{hline 9}{hline 1}{c +}{hline 44}
{txt}Valid   1 {c |}{res}          9      14.75     100.00     100.00
{txt}Missing . {c |}{res}         52      85.25                      
{txt}Total     {c |}{res}         61     100.00                      
{txt}{hline 9}{hline 1}{c BT}{hline 44}

{com}.         assert inlist(test_who_aptpol,.,1)
{txt}
{com}.         
.         drop test_who_aptpol
{txt}
{com}.         
.         * mostinf_servdel
.         
.         lab var mostinf_servdel "More influential in determining quality of service"
{txt}
{com}.         
.         replace mostinf_servdel = "1" if regexm(mostinf_servdel,"Elected much more")
{txt}(5 real changes made)

{com}.         replace mostinf_servdel = "2" if regexm(mostinf_servdel,"Elected slightly more")
{txt}(0 real changes made)

{com}.         replace mostinf_servdel = "3" if regexm(mostinf_servdel,"About the same")
{txt}(1 real change made)

{com}.         replace mostinf_servdel = "4" if regexm(mostinf_servdel,"Appointed slightly more")
{txt}(0 real changes made)

{com}.         replace mostinf_servdel = "5" if regexm(mostinf_servdel,"Appointed much more")
{txt}(3 real changes made)

{com}.         destring mostinf_servdel, replace
{txt}mostinf_servdel: all characters numeric; {res}replaced {txt}as {res}byte
{txt}(52 missing values generated)
{res}{txt}
{com}.         lab def mostinf_servdel 1 "Elected much more influential" 2 "Elected slightly more influential" 3 "About the same" 4 "Appointed slightly more influential" 5 "Appointed much more influential"
{txt}
{com}.         lab val mostinf_servdel mostinf_servdel
{txt}
{com}.         
.         fre mostinf_servdel
{res}
{txt}mostinf_servdel {hline 2} More influential in determining quality of service
{txt}{hline 41}{hline 1}{c TT}{hline 44}
{txt}        {txt}                                  {c |}      Freq.    Percent      Valid       Cum.
{txt}{hline 41}{hline 1}{c +}{hline 44}
{txt}Valid   1 Elected much more influential   {c |}{res}          5       8.20      55.56      55.56
{txt}        3 About the same                  {c |}{res}          1       1.64      11.11      66.67
{txt}        5 Appointed much more influential {c |}{res}          3       4.92      33.33     100.00
{txt}        Total                             {c |}{res}          9      14.75     100.00           
{txt}Missing .                                 {c |}{res}         52      85.25                      
{txt}Total                                     {c |}{res}         61     100.00                      
{txt}{hline 41}{hline 1}{c BT}{hline 44}

{com}.         
.         gen test_mostinf_servdel = (mostinf_servdel != .)
{txt}
{com}.         replace test_mostinf_servdel = . if asked_survey == 0 
{txt}(37 real changes made, 37 to missing)

{com}.         replace test_mostinf_servdel = . if (aptpol_d == 0 | elecpol_ovrsee == 0)
{txt}(14 real changes made, 14 to missing)

{com}.         fre test_mostinf_servdel
{res}
{txt}test_mostinf_servdel
{txt}{hline 13}{hline 1}{c TT}{hline 44}
{txt}        {txt}      {c |}      Freq.    Percent      Valid       Cum.
{txt}{hline 13}{hline 1}{c +}{hline 44}
{txt}Valid   0     {c |}{res}          1       1.64      10.00      10.00
{txt}        1     {c |}{res}          9      14.75      90.00     100.00
{txt}        Total {c |}{res}         10      16.39     100.00           
{txt}Missing .     {c |}{res}         51      83.61                      
{txt}Total         {c |}{res}         61     100.00                      
{txt}{hline 13}{hline 1}{c BT}{hline 44}

{com}.         assert inlist(test_mostinf_servdel,.,1)
{txt}1 contradiction in 61 observations
{err}assertion is false
{txt}{search r(9), local:r(9);}

end of do-file

{search r(9), local:r(9);}

{com}. do "/var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//SD44938.000000"
{txt}
{com}. 
.         * Purpose: Importing data to run HFC
.         
.         * Setting up globals
.         
.         if "`c(username)'" == "fredericcochinard" {c -(}
.                 
.                 global import_folder "/Users/fredericcochinard/Dropbox/Expert survey/Data/0.survey_dataset/0.import"
.                 global output "/Users/fredericcochinard/Dropbox/Expert survey/Data/0.survey_dataset/1.output"
.                 
.                 {c )-}
{txt}
{com}.                 
.         if "`c(username)'" == "" {c -(}
.         
.                 
.                 {c )-}
{txt}
{com}.         
.         * Looking for renaming folder with problem
.         
.         local myfiles: dir "$import_folder" files "*.xlsx"
{txt}
{com}. 
.         foreach file of local myfiles {c -(}
{txt}  2{com}.                 
.                 local subfile = substr("`file'", 1, .)
{txt}  3{com}.                 local subfile : subinstr local subfile " " "_", all
{txt}  4{com}.                 ! mv "${c -(}import_folder{c )-}/`file'" "${c -(}import_folder{c )-}/`subfile'"
{txt}  5{com}.                 
.                 {c )-}
{txt}

{com}.         
.         * Looking for dataset
.         
.         filelist , dir("$import_folder") pat("*.xlsx")
{res}{txt}Number of files found = {res}1
{txt}
{com}.         
.         gen url = filename
{txt}
{com}.         
.         levelsof url
{txt}`"Expert_survey_February_18,_2025_16.23.xlsx"'

{com}. 
.         local lvlfiles `r(levels)'
{txt}
{com}.         
.         local z = 0
{txt}
{com}.         
.         foreach lvl of local lvlfiles {c -(}
{txt}  2{com}.         
.                 local z = `z' + 1
{txt}  3{com}.                 
.                 local temp : subinstr local lvl `"""' "", all
{txt}  4{com}.                 local url : subinstr local temp "'" "", all
{txt}  5{com}.         
.                 import excel "${c -(}import_folder{c )-}/`url'", first case(lower) clear
{txt}  6{com}.                 
.                 gen num = _n
{txt}  7{com}.                 drop if num == 1
{txt}  8{com}.                 
.                 * Preparing the append
.                 
.                 tempfile data`z'
{txt}  9{com}.                 sa "`data`z''"
{txt} 10{com}.                 
.                 {c )-}
{res}{txt}(1 observation deleted)
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.000001 saved

{com}.                 
.         * We append the dataset to start cleaning
.         
.         use "`data1'", clear
{txt}
{com}.         
.         forvalues x = 2/`z' {c -(}
{txt}  2{com}.         
.                 append using "`data`x''"
{txt}  3{com}.                 
.                 {c )-}
{txt}
{com}.                 
.         duplicates drop

{p 0 4}{txt}Duplicates in terms of {txt} all variables{p_end}

(0 observations are duplicates)

{com}.         
.         * We keep relevant variable
.         drop if recipientemail == "frederic.cochinard@gmail.com"
{txt}(8 observations deleted)

{com}.         drop if recipientemail == "vedpant+spanish@college.harvard.edu"
{txt}(1 observation deleted)

{com}.         drop if recipientemail == "frederic.cochinard+3@gmail.com"
{txt}(1 observation deleted)

{com}.         drop if recipientemail == "frederic.cochinard+1@gmail.com"
{txt}(1 observation deleted)

{com}.         
.         * We remove observation that are not finished
.         drop if finished == "False"
{txt}(9 observations deleted)

{com}.         
.         * We create a save
.         
.         tempfile save_data
{txt}
{com}.         sa "`save_data'"
{txt}file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.000002 saved

{com}.         
.         * Main form of survey 
.         keep country full_name recipientemail responseid progress durationinseconds finished userlanguage num_unit confirmation_* ///
>         title_bur* elecpol_ovrsee* title_elecpol* aptpol_d* title_aptpol* who_aptpol* mostinf_servdel* educ_elecpolbur* ///
>         educ_apolbur* slry_elecpolbur* slry_apolbur* fdout_epol_bgt* fdout_apol_bgt* budsect_epol* budsect_apol* acinfexp_epol* /// 
>         acinfexp_apol* understand_epol* understand_apol* acttake_epol* acttake_epol* acttake_apol* acttake_apol* likely* why_likchan* /// 
>         who_apt_bur* who_apt_bur* who_fir_bur* who_fir_bur* ocap_epol* ocap_apol* prio_epol* prio_apol* overall_conf* avg_educ_epol* ///
>         avg_educ_apol* avg_educ_buro* avg_slry_epol* avg_slry_apol* avg_slry_buro* //
{txt}
{com}.         
.         destring durationinseconds progress, replace
{txt}durationinseconds: all characters numeric; {res}replaced {txt}as {res}int
{txt}progress: all characters numeric; {res}replaced {txt}as {res}byte
{txt}
{com}.         replace durationinseconds = round(durationinseconds/60)
{txt}(11 real changes made)

{com}.         ren durationinseconds duration_minutes
{res}{txt}
{com}. 
.         *--
.         
.         local id country full_name recipientemail responseid userlanguage num_unit finished progress duration_minutes
{txt}
{com}.         
.         order `id', first
{txt}
{com}.         duplicates drop `id', force

{p 0 4}{txt}Duplicates in terms of {res} country full_name recipientemail responseid userlanguage num_unit finished progress duration_minutes{p_end}

{txt}(0 observations are duplicates)

{com}.         
.         * Renaming others
.         
.         forvalues x = 1/3 {c -(}
{txt}  2{com}.                 
.                 forvalues y = 1/6 {c -(} 
{txt}  3{com}.                 
.                         cap ren who_apt_bur_`x'_`y'_8_text who_apt_buroth_`x'_`y'
{txt}  4{com}.                         cap ren who_fir_bur_`x'_`y'_8_text who_fir_buroth_`x'_`y'
{txt}  5{com}.                         cap ren acttake_epol_`x'_`y'_9_text acttake_epoloth_`x'_`y'
{txt}  6{com}.                         cap ren acttake_apol_`x'_`y'_9_text acttake_apoloth_`x'_`y'
{txt}  7{com}.                         
.                         {c )-}
{txt}  8{com}.                         
.                 {c )-}
{txt}
{com}.         
.         #delimit ;
{txt}delimiter now ;
{com}.         local var confirmation
>         title_bur 
>         elecpol_ovrsee
>         title_elecpol
>         aptpol_d
>         title_aptpol
>         who_aptpol
>         mostinf_servdel
>         educ_elecpolbur
>         educ_apolbur
>         slry_elecpolbur
>         slry_apolbur
>         fdout_epol_bgt
>         fdout_apol_bgt
>         budsect_epol
>         budsect_apol
>         acinfexp_epol
>         acinfexp_apol
>         understand_epol
>         understand_apol
>         acttake_epol
>         acttake_epoloth
>         acttake_apol
>         acttake_apoloth
>         likely
>         why_likchan
>         who_apt_bur
>         who_apt_buroth
>         who_fir_bur
>         who_fir_buroth
>         ocap_epol
>         ocap_apol
>         prio_epol
>         prio_apol
>         overall_conf
>         avg_educ_epol
>         avg_educ_apol
>         avg_educ_buro
>         avg_slry_epol
>         avg_slry_apol
>         avg_slry_buro
>         
>         ;
{txt}
{com}.                 #delimit cr
{txt}delimiter now cr
{com}. 
.         reshape long `var', i(`id') j(pos) s
{txt}(note: j = _1_1 _1_4 _1_5 _1_6 _2_1 _2_2 _2_4 _2_5 _2_6 _3_1 _3_2 _3_3 _3_4 _3_5 _3_6)
(note: confirmation_1_4 not found)
(note: confirmation_1_5 not found)
(note: confirmation_1_6 not found)
(note: confirmation_2_4 not found)
(note: confirmation_2_5 not found)
(note: confirmation_2_6 not found)
(note: confirmation_3_4 not found)
(note: confirmation_3_5 not found)
(note: confirmation_3_6 not found)

Data{col 36}wide{col 43}->{col 48}long
{hline 77}
Number of obs.                 {res}      11   {txt}->{res}     165
{txt}Number of variables            {res}     615   {txt}->{res}      51
{txt}j variable (15 values)                    ->   {res}pos
{txt}xij variables:
{res}confirmation_1_1 confirmation_1_4 ... confirmation_3_6{txt}->{res}confirmation
title_bur_1_1 title_bur_1_4 ... title_bur_3_6{txt}->{res}title_bur
elecpol_ovrsee_1_1 elecpol_ovrsee_1_4 ... elecpol_ovrsee_3_6{txt}->{res}elecpol_ovrsee
title_elecpol_1_1 title_elecpol_1_4 ... title_elecpol_3_6{txt}->{res}title_elecpol
aptpol_d_1_1 aptpol_d_1_4 ... aptpol_d_3_6{txt}->   {res}aptpol_d
title_aptpol_1_1 title_aptpol_1_4 ... title_aptpol_3_6{txt}->{res}title_aptpol
who_aptpol_1_1 who_aptpol_1_4 ... who_aptpol_3_6{txt}->{res}who_aptpol
mostinf_servdel_1_1 mostinf_servdel_1_4 ... mostinf_servdel_3_6{txt}->{res}mostinf_servdel
educ_elecpolbur_1_1 educ_elecpolbur_1_4 ... educ_elecpolbur_3_6{txt}->{res}educ_elecpolbur
educ_apolbur_1_1 educ_apolbur_1_4 ... educ_apolbur_3_6{txt}->{res}educ_apolbur
slry_elecpolbur_1_1 slry_elecpolbur_1_4 ... slry_elecpolbur_3_6{txt}->{res}slry_elecpolbur
slry_apolbur_1_1 slry_apolbur_1_4 ... slry_apolbur_3_6{txt}->{res}slry_apolbur
fdout_epol_bgt_1_1 fdout_epol_bgt_1_4 ... fdout_epol_bgt_3_6{txt}->{res}fdout_epol_bgt
fdout_apol_bgt_1_1 fdout_apol_bgt_1_4 ... fdout_apol_bgt_3_6{txt}->{res}fdout_apol_bgt
budsect_epol_1_1 budsect_epol_1_4 ... budsect_epol_3_6{txt}->{res}budsect_epol
budsect_apol_1_1 budsect_apol_1_4 ... budsect_apol_3_6{txt}->{res}budsect_apol
acinfexp_epol_1_1 acinfexp_epol_1_4 ... acinfexp_epol_3_6{txt}->{res}acinfexp_epol
acinfexp_apol_1_1 acinfexp_apol_1_4 ... acinfexp_apol_3_6{txt}->{res}acinfexp_apol
understand_epol_1_1 understand_epol_1_4 ... understand_epol_3_6{txt}->{res}understand_epol
understand_apol_1_1 understand_apol_1_4 ... understand_apol_3_6{txt}->{res}understand_apol
acttake_epol_1_1 acttake_epol_1_4 ... acttake_epol_3_6{txt}->{res}acttake_epol
acttake_epoloth_1_1 acttake_epoloth_1_4 ... acttake_epoloth_3_6{txt}->{res}acttake_epoloth
acttake_apol_1_1 acttake_apol_1_4 ... acttake_apol_3_6{txt}->{res}acttake_apol
acttake_apoloth_1_1 acttake_apoloth_1_4 ... acttake_apoloth_3_6{txt}->{res}acttake_apoloth
   likely_1_1 likely_1_4 ... likely_3_6   {txt}->   {res}likely
why_likchan_1_1 why_likchan_1_4 ... why_likchan_3_6{txt}->{res}why_likchan
who_apt_bur_1_1 who_apt_bur_1_4 ... who_apt_bur_3_6{txt}->{res}who_apt_bur
who_apt_buroth_1_1 who_apt_buroth_1_4 ... who_apt_buroth_3_6{txt}->{res}who_apt_buroth
who_fir_bur_1_1 who_fir_bur_1_4 ... who_fir_bur_3_6{txt}->{res}who_fir_bur
who_fir_buroth_1_1 who_fir_buroth_1_4 ... who_fir_buroth_3_6{txt}->{res}who_fir_buroth
ocap_epol_1_1 ocap_epol_1_4 ... ocap_epol_3_6{txt}->{res}ocap_epol
ocap_apol_1_1 ocap_apol_1_4 ... ocap_apol_3_6{txt}->{res}ocap_apol
prio_epol_1_1 prio_epol_1_4 ... prio_epol_3_6{txt}->{res}prio_epol
prio_apol_1_1 prio_apol_1_4 ... prio_apol_3_6{txt}->{res}prio_apol
overall_conf_1_1 overall_conf_1_4 ... overall_conf_3_6{txt}->{res}overall_conf
avg_educ_epol_1_1 avg_educ_epol_1_4 ... avg_educ_epol_3_6{txt}->{res}avg_educ_epol
avg_educ_apol_1_1 avg_educ_apol_1_4 ... avg_educ_apol_3_6{txt}->{res}avg_educ_apol
avg_educ_buro_1_1 avg_educ_buro_1_4 ... avg_educ_buro_3_6{txt}->{res}avg_educ_buro
avg_slry_epol_1_1 avg_slry_epol_1_4 ... avg_slry_epol_3_6{txt}->{res}avg_slry_epol
avg_slry_apol_1_1 avg_slry_apol_1_4 ... avg_slry_apol_3_6{txt}->{res}avg_slry_apol
avg_slry_buro_1_1 avg_slry_buro_1_4 ... avg_slry_buro_3_6{txt}->{res}avg_slry_buro
{txt}{hline 77}

{com}.         
.         * Filter data
.         
.         split pos, p("_")
{res}variables created as string: 
{txt}{col 1}pos1{col 7}pos2{col 13}pos3

{com}.         
.         drop pos1
{txt}
{com}.         ren pos2 case_n_unit
{res}{txt}
{com}.         ren pos3 unit_num
{res}{txt}
{com}.         destring case_n_unit unit_num, replace
{txt}case_n_unit: all characters numeric; {res}replaced {txt}as {res}byte
{txt}unit_num: all characters numeric; {res}replaced {txt}as {res}byte
{txt}
{com}.         order case_n_unit unit_num, after(duration_minutes)
{txt}
{com}.         drop pos
{txt}
{com}.         
.         destring num_unit, replace
{txt}num_unit: all characters numeric; {res}replaced {txt}as {res}byte
{txt}
{com}.         drop if num_unit != case_n_unit
{txt}(104 observations deleted)

{com}.         drop num_unit
{txt}
{com}.         
.         compress
  {txt}variable {bf}country{sf} was {bf}{res}str15{sf}{txt} now {bf}{res}str11{sf}
  {txt}variable {bf}full_name{sf} was {bf}{res}str28{sf}{txt} now {bf}{res}str23{sf}
  {txt}variable {bf}recipientemail{sf} was {bf}{res}str35{sf}{txt} now {bf}{res}str32{sf}
  {txt}variable {bf}userlanguage{sf} was {bf}{res}str13{sf}{txt} now {bf}{res}str2{sf}
  {txt}variable {bf}finished{sf} was {bf}{res}str8{sf}{txt} now {bf}{res}str4{sf}
  {txt}variable {bf}title_bur{sf} was {bf}{res}str448{sf}{txt} now {bf}{res}str235{sf}
  {txt}variable {bf}elecpol_ovrsee{sf} was {bf}{res}str352{sf}{txt} now {bf}{res}str3{sf}
  {txt}variable {bf}title_elecpol{sf} was {bf}{res}str312{sf}{txt} now {bf}{res}str288{sf}
  {txt}variable {bf}aptpol_d{sf} was {bf}{res}str332{sf}{txt} now {bf}{res}str30{sf}
  {txt}variable {bf}who_aptpol{sf} was {bf}{res}str96{sf}{txt} now {bf}{res}str84{sf}
  {txt}variable {bf}mostinf_servdel{sf} was {bf}{res}str256{sf}{txt} now {bf}{res}str44{sf}
  {txt}variable {bf}educ_elecpolbur{sf} was {bf}{res}str258{sf}{txt} now {bf}{res}str51{sf}
  {txt}variable {bf}educ_apolbur{sf} was {bf}{res}str260{sf}{txt} now {bf}{res}str1{sf}
  {txt}variable {bf}slry_elecpolbur{sf} was {bf}{res}str316{sf}{txt} now {bf}{res}str47{sf}
  {txt}variable {bf}slry_apolbur{sf} was {bf}{res}str318{sf}{txt} now {bf}{res}str1{sf}
  {txt}variable {bf}fdout_epol_bgt{sf} was {bf}{res}str373{sf}{txt} now {bf}{res}str19{sf}
  {txt}variable {bf}fdout_apol_bgt{sf} was {bf}{res}str375{sf}{txt} now {bf}{res}str1{sf}
  {txt}variable {bf}budsect_epol{sf} was {bf}{res}str217{sf}{txt} now {bf}{res}str19{sf}
  {txt}variable {bf}budsect_apol{sf} was {bf}{res}str219{sf}{txt} now {bf}{res}str1{sf}
  {txt}variable {bf}acinfexp_epol{sf} was {bf}{res}str216{sf}{txt} now {bf}{res}str19{sf}
  {txt}variable {bf}acinfexp_apol{sf} was {bf}{res}str218{sf}{txt} now {bf}{res}str1{sf}
  {txt}variable {bf}understand_epol{sf} was {bf}{res}str214{sf}{txt} now {bf}{res}str21{sf}
  {txt}variable {bf}understand_apol{sf} was {bf}{res}str216{sf}{txt} now {bf}{res}str21{sf}
  {txt}variable {bf}acttake_epol{sf} was {bf}{res}str247{sf}{txt} now {bf}{res}str163{sf}
  {txt}variable {bf}acttake_epoloth{sf} was {bf}{res}str261{sf}{txt} now {bf}{res}str63{sf}
  {txt}variable {bf}acttake_apol{sf} was {bf}{res}str250{sf}{txt} now {bf}{res}str1{sf}
  {txt}variable {bf}acttake_apoloth{sf} was {bf}{res}str264{sf}{txt} now {bf}{res}str1{sf}
  {txt}variable {bf}likely{sf} was {bf}{res}str159{sf}{txt} now {bf}{res}str18{sf}
  {txt}variable {bf}who_apt_bur{sf} was {bf}{res}str126{sf}{txt} now {bf}{res}str64{sf}
  {txt}variable {bf}who_fir_bur{sf} was {bf}{res}str120{sf}{txt} now {bf}{res}str64{sf}
  {txt}variable {bf}who_fir_buroth{sf} was {bf}{res}str134{sf}{txt} now {bf}{res}str77{sf}
  {txt}variable {bf}ocap_epol{sf} was {bf}{res}str359{sf}{txt} now {bf}{res}str55{sf}
  {txt}variable {bf}ocap_apol{sf} was {bf}{res}str361{sf}{txt} now {bf}{res}str1{sf}
  {txt}variable {bf}prio_epol{sf} was {bf}{res}str209{sf}{txt} now {bf}{res}str73{sf}
  {txt}variable {bf}prio_apol{sf} was {bf}{res}str211{sf}{txt} now {bf}{res}str1{sf}
  {txt}variable {bf}overall_conf{sf} was {bf}{res}str191{sf}{txt} now {bf}{res}str17{sf}
  {txt}variable {bf}avg_educ_buro{sf} was {bf}{res}str117{sf}{txt} now {bf}{res}str101{sf}
  {txt}variable {bf}avg_slry_apol{sf} was {bf}{res}str134{sf}{txt} now {bf}{res}str128{sf}
  {txt}variable {bf}avg_slry_buro{sf} was {bf}{res}str134{sf}{txt} now {bf}{res}str87{sf}
  {txt}variable {bf}confirmation{sf} was {bf}{res}str1148{sf}{txt} now {bf}{res}str63{sf}
{txt}  (462,685 bytes saved)

{com}.         
.         * We edit the label 
.         
.         lab var country "Country"
{txt}
{com}.         lab var full_name  "Full name of recipient"
{txt}
{com}.         lab var recipientemail "Recipient email"
{txt}
{com}.         lab var userlanguage "Language used to answer"
{txt}
{com}.         lab var finished "Completion status"
{txt}
{com}.         lab var progress "Progress"
{txt}
{com}.         lab var duration_minutes "Duration in minutes"
{txt}
{com}.         lab var case_n_unit "Original number of entities"
{txt}
{com}.         lab var unit_num "Unit number"
{txt}
{com}.         
.         * Confirmation
.         
.         fre confirmation
{res}
{txt}confirmation
{txt}{hline 54}{hline 1}{c TT}{hline 44}
{txt}        {txt}                                               {c |}      Freq.    Percent      Valid       Cum.
{txt}{hline 54}{hline 1}{c +}{hline 44}
{txt}Valid   No, this is inaccurate. This level needs to be {c |}{res}          2       3.28       7.14       7.14
{txt}        replaced/deleted                               {c |}{res}                                            
{txt}        No, this level needs to be replaced/deleted    {c |}{res}          2       3.28       7.14      14.29
{txt}        Yes, this is accurate                          {c |}{res}         24      39.34      85.71     100.00
{txt}        Total                                          {c |}{res}         28      45.90     100.00           
{txt}Missing                                                {c |}{res}         33      54.10                      
{txt}Total                                                  {c |}{res}         61     100.00                      
{txt}{hline 54}{hline 1}{c BT}{hline 44}

{com}.         replace confirmation = "1" if confirmation == "Yes, this is accurate"
{txt}(24 real changes made)

{com}.         replace confirmation = "0" if regexm(confirmation,"No")
{txt}(4 real changes made)

{com}.         destring confirmation, replace
{txt}confirmation: all characters numeric; {res}replaced {txt}as {res}byte
{txt}(33 missing values generated)
{res}{txt}
{com}.         
.         lab var confirmation "Confirmation of adequacy of unit"
{txt}
{com}.         lab def confirmation 0 "No, this is not accurate. It should be replaced/deleted" 1 "Yes, this is accurate"
{txt}
{com}.         lab val confirmation confirmation
{txt}
{com}.         
.         fre confirmation
{res}
{txt}confirmation {hline 2} Confirmation of adequacy of unit
{txt}{hline 48}{hline 1}{c TT}{hline 44}
{txt}        {txt}                                         {c |}      Freq.    Percent      Valid       Cum.
{txt}{hline 48}{hline 1}{c +}{hline 44}
{txt}Valid   0 No, this is not accurate. It should be {c |}{res}          4       6.56      14.29      14.29
{txt}          replaced/deleted                       {c |}{res}                                            
{txt}        1 Yes, this is accurate                  {c |}{res}         24      39.34      85.71     100.00
{txt}        Total                                    {c |}{res}         28      45.90     100.00           
{txt}Missing .                                        {c |}{res}         33      54.10                      
{txt}Total                                            {c |}{res}         61     100.00                      
{txt}{hline 48}{hline 1}{c BT}{hline 44}

{com}.         
.         order confirmation, after(unit_num)
{txt}
{com}.         
.         * Creating variable about asked_survey (should be updated)
.         
.         gen asked_survey = 0
{txt}
{com}.         replace asked_survey = 1 if confirmation == 1
{txt}(24 real changes made)

{com}.         lab var asked_survey "Survey question asked to respondent"
{txt}
{com}.         lab def yesno 0 "No" 1 "Yes"
{txt}
{com}.         lab val asked_survey yesno
{txt}
{com}.         order asked_survey, after(confirmation)
{txt}
{com}.         
.         * title_bur
.         
.         lab var title_bur "Title of the highest-level bureaucrat in unit"
{txt}
{com}.         
.         gen test_title_bur = (title_bur != "")
{txt}
{com}.         replace test_title_bur = . if asked_survey == 0
{txt}(37 real changes made, 37 to missing)

{com}.         fre test_title_bur
{res}
{txt}test_title_bur
{txt}{hline 9}{hline 1}{c TT}{hline 44}
{txt}        {txt}  {c |}      Freq.    Percent      Valid       Cum.
{txt}{hline 9}{hline 1}{c +}{hline 44}
{txt}Valid   1 {c |}{res}         24      39.34     100.00     100.00
{txt}Missing . {c |}{res}         37      60.66                      
{txt}Total     {c |}{res}         61     100.00                      
{txt}{hline 9}{hline 1}{c BT}{hline 44}

{com}.         assert inlist(test_title_bur,.,1)
{txt}
{com}.         
.         drop test_title_bur
{txt}
{com}.         
.         * elecpol_ovrsee
.         
.         lab var elecpol_ovrsee "Any politicians in unit overseeing service delivery"
{txt}
{com}.         replace elecpol_ovrsee = "0" if elecpol_ovrsee == "No"
{txt}(2 real changes made)

{com}.         replace elecpol_ovrsee = "1" if elecpol_ovrsee == "Yes"
{txt}(23 real changes made)

{com}.         destring elecpol_ovrsee, replace
{txt}elecpol_ovrsee: all characters numeric; {res}replaced {txt}as {res}byte
{txt}(36 missing values generated)
{res}{txt}
{com}.         lab val elecpol_ovrsee yesno
{txt}
{com}.         
.         fre elecpol_ovrsee
{res}
{txt}elecpol_ovrsee {hline 2} Any politicians in unit overseeing service delivery
{txt}{hline 13}{hline 1}{c TT}{hline 44}
{txt}        {txt}      {c |}      Freq.    Percent      Valid       Cum.
{txt}{hline 13}{hline 1}{c +}{hline 44}
{txt}Valid   0 No  {c |}{res}          2       3.28       8.00       8.00
{txt}        1 Yes {c |}{res}         23      37.70      92.00     100.00
{txt}        Total {c |}{res}         25      40.98     100.00           
{txt}Missing .     {c |}{res}         36      59.02                      
{txt}Total         {c |}{res}         61     100.00                      
{txt}{hline 13}{hline 1}{c BT}{hline 44}

{com}.         
.         gen test_elecpol_ovrsee = (elecpol_ovrsee != .)
{txt}
{com}.         replace test_elecpol_ovrsee = . if asked_survey == 0
{txt}(37 real changes made, 37 to missing)

{com}.         fre test_elecpol_ovrsee
{res}
{txt}test_elecpol_ovrsee
{txt}{hline 9}{hline 1}{c TT}{hline 44}
{txt}        {txt}  {c |}      Freq.    Percent      Valid       Cum.
{txt}{hline 9}{hline 1}{c +}{hline 44}
{txt}Valid   1 {c |}{res}         24      39.34     100.00     100.00
{txt}Missing . {c |}{res}         37      60.66                      
{txt}Total     {c |}{res}         61     100.00                      
{txt}{hline 9}{hline 1}{c BT}{hline 44}

{com}.         assert inlist(test_elecpol_ovrsee,.,1)
{txt}
{com}.         
.         drop test_elecpol_ovrsee
{txt}
{com}.         
.         * title_elecpol
.         
.         lab var title_elecpol "Title of the highest-level elected politician in unit"
{txt}
{com}.         
.         gen test_title_elecpol = (title_elecpol != "")
{txt}
{com}.         replace test_title_elecpol = . if asked_survey == 0
{txt}(37 real changes made, 37 to missing)

{com}.         replace test_title_elecpol = . if elecpol_ovrsee == 0
{txt}(1 real change made, 1 to missing)

{com}.         fre test_title_elecpol
{res}
{txt}test_title_elecpol
{txt}{hline 9}{hline 1}{c TT}{hline 44}
{txt}        {txt}  {c |}      Freq.    Percent      Valid       Cum.
{txt}{hline 9}{hline 1}{c +}{hline 44}
{txt}Valid   1 {c |}{res}         23      37.70     100.00     100.00
{txt}Missing . {c |}{res}         38      62.30                      
{txt}Total     {c |}{res}         61     100.00                      
{txt}{hline 9}{hline 1}{c BT}{hline 44}

{com}.         assert inlist(test_title_elecpol,.,1)
{txt}
{com}.         
.         drop test_title_elecpol
{txt}
{com}.         
.         * aptpol_d
.         
.         fre aptpol_d
{res}
{txt}aptpol_d
{txt}{hline 38}{hline 1}{c TT}{hline 44}
{txt}        {txt}                               {c |}      Freq.    Percent      Valid       Cum.
{txt}{hline 38}{hline 1}{c +}{hline 44}
{txt}Valid   Do not know / Refuse to answer {c |}{res}          1       1.64       4.00       4.00
{txt}        No                             {c |}{res}         15      24.59      60.00      64.00
{txt}        Yes                            {c |}{res}          9      14.75      36.00     100.00
{txt}        Total                          {c |}{res}         25      40.98     100.00           
{txt}Missing                                {c |}{res}         36      59.02                      
{txt}Total                                  {c |}{res}         61     100.00                      
{txt}{hline 38}{hline 1}{c BT}{hline 44}

{com}.         
.         lab var aptpol_d "Politician appointed by higher politician in unit"
{txt}
{com}.         replace aptpol_d = "0" if aptpol_d == "No"
{txt}(15 real changes made)

{com}.         replace aptpol_d = "1" if aptpol_d == "Yes"
{txt}(9 real changes made)

{com}.         replace aptpol_d = "-98" if aptpol_d == "Do not know / Refuse to answer"
{txt}(1 real change made)

{com}.         destring aptpol_d, replace
{txt}aptpol_d: all characters numeric; {res}replaced {txt}as {res}byte
{txt}(36 missing values generated)
{res}{txt}
{com}.         lab val aptpol_d yesno
{txt}
{com}.         
.         fre aptpol_d
{res}
{txt}aptpol_d {hline 2} Politician appointed by higher politician in unit
{txt}{hline 15}{hline 1}{c TT}{hline 44}
{txt}        {txt}        {c |}      Freq.    Percent      Valid       Cum.
{txt}{hline 15}{hline 1}{c +}{hline 44}
{txt}Valid   -98     {c |}{res}          1       1.64       4.00       4.00
{txt}        0   No  {c |}{res}         15      24.59      60.00      64.00
{txt}        1   Yes {c |}{res}          9      14.75      36.00     100.00
{txt}        Total   {c |}{res}         25      40.98     100.00           
{txt}Missing .       {c |}{res}         36      59.02                      
{txt}Total           {c |}{res}         61     100.00                      
{txt}{hline 15}{hline 1}{c BT}{hline 44}

{com}.         
.         gen test_aptpol_d = (aptpol_d != .)
{txt}
{com}.         replace test_aptpol_d = . if asked_survey == 0
{txt}(37 real changes made, 37 to missing)

{com}.         fre test_aptpol_d
{res}
{txt}test_aptpol_d
{txt}{hline 9}{hline 1}{c TT}{hline 44}
{txt}        {txt}  {c |}      Freq.    Percent      Valid       Cum.
{txt}{hline 9}{hline 1}{c +}{hline 44}
{txt}Valid   1 {c |}{res}         24      39.34     100.00     100.00
{txt}Missing . {c |}{res}         37      60.66                      
{txt}Total     {c |}{res}         61     100.00                      
{txt}{hline 9}{hline 1}{c BT}{hline 44}

{com}.         assert inlist(test_aptpol_d,.,1)
{txt}
{com}.         
.         drop test_aptpol_d
{txt}
{com}.         
.         * pol_exist_d
.         
.         gen pol_exist_d = 0
{txt}
{com}.         replace pol_exist_d = 1 if aptpol_d == 1 | elecpol_ovrsee == 1
{txt}(23 real changes made)

{com}.         replace pol_exist_d = . if asked_survey == 0
{txt}(37 real changes made, 37 to missing)

{com}.         lab val pol_exist_d yesno
{txt}
{com}.         lab var pol_exist_d "1 if we have either an appointed or elected politician"
{txt}
{com}.         
.         fre pol_exist_d
{res}
{txt}pol_exist_d {hline 2} 1 if we have either an appointed or elected politician
{txt}{hline 13}{hline 1}{c TT}{hline 44}
{txt}        {txt}      {c |}      Freq.    Percent      Valid       Cum.
{txt}{hline 13}{hline 1}{c +}{hline 44}
{txt}Valid   0 No  {c |}{res}          1       1.64       4.17       4.17
{txt}        1 Yes {c |}{res}         23      37.70      95.83     100.00
{txt}        Total {c |}{res}         24      39.34     100.00           
{txt}Missing .     {c |}{res}         37      60.66                      
{txt}Total         {c |}{res}         61     100.00                      
{txt}{hline 13}{hline 1}{c BT}{hline 44}

{com}.         order pol_exist_d, after(aptpol_d)
{txt}
{com}.         
.         * title_aptpol
.         
.         lab var title_aptpol "Title of the highest-level appointed politician in unit"
{txt}
{com}.         
.         gen test_title_aptpol = (title_aptpol != "")
{txt}
{com}.         replace test_title_aptpol = . if asked_survey == 0 
{txt}(37 real changes made, 37 to missing)

{com}.         replace test_title_aptpol = . if aptpol_d == 0 | aptpol_d == -98
{txt}(15 real changes made, 15 to missing)

{com}.         fre test_title_aptpol
{res}
{txt}test_title_aptpol
{txt}{hline 9}{hline 1}{c TT}{hline 44}
{txt}        {txt}  {c |}      Freq.    Percent      Valid       Cum.
{txt}{hline 9}{hline 1}{c +}{hline 44}
{txt}Valid   1 {c |}{res}          9      14.75     100.00     100.00
{txt}Missing . {c |}{res}         52      85.25                      
{txt}Total     {c |}{res}         61     100.00                      
{txt}{hline 9}{hline 1}{c BT}{hline 44}

{com}.         assert inlist(test_title_aptpol,.,1)
{txt}
{com}.         
.         drop test_title_aptpol
{txt}
{com}.         
.         * who_aptpol
.         
.         lab var who_aptpol "Who appoints the highest-level appointed politician in unit"
{txt}
{com}.         
.         gen test_who_aptpol = (who_aptpol != "")
{txt}
{com}.         replace test_who_aptpol = . if asked_survey == 0 
{txt}(37 real changes made, 37 to missing)

{com}.         replace test_who_aptpol = . if aptpol_d == 0 | aptpol_d == -98
{txt}(15 real changes made, 15 to missing)

{com}.         fre test_who_aptpol
{res}
{txt}test_who_aptpol
{txt}{hline 9}{hline 1}{c TT}{hline 44}
{txt}        {txt}  {c |}      Freq.    Percent      Valid       Cum.
{txt}{hline 9}{hline 1}{c +}{hline 44}
{txt}Valid   1 {c |}{res}          9      14.75     100.00     100.00
{txt}Missing . {c |}{res}         52      85.25                      
{txt}Total     {c |}{res}         61     100.00                      
{txt}{hline 9}{hline 1}{c BT}{hline 44}

{com}.         assert inlist(test_who_aptpol,.,1)
{txt}
{com}.         
.         drop test_who_aptpol
{txt}
{com}.         
.         * mostinf_servdel
.         
.         lab var mostinf_servdel "More influential in determining quality of service"
{txt}
{com}.         
.         replace mostinf_servdel = "1" if regexm(mostinf_servdel,"Elected much more")
{txt}(5 real changes made)

{com}.         replace mostinf_servdel = "2" if regexm(mostinf_servdel,"Elected slightly more")
{txt}(0 real changes made)

{com}.         replace mostinf_servdel = "3" if regexm(mostinf_servdel,"About the same")
{txt}(1 real change made)

{com}.         replace mostinf_servdel = "4" if regexm(mostinf_servdel,"Appointed slightly more")
{txt}(0 real changes made)

{com}.         replace mostinf_servdel = "5" if regexm(mostinf_servdel,"Appointed much more")
{txt}(3 real changes made)

{com}.         destring mostinf_servdel, replace
{txt}mostinf_servdel: all characters numeric; {res}replaced {txt}as {res}byte
{txt}(52 missing values generated)
{res}{txt}
{com}.         lab def mostinf_servdel 1 "Elected much more influential" 2 "Elected slightly more influential" 3 "About the same" 4 "Appointed slightly more influential" 5 "Appointed much more influential"
{txt}
{com}.         lab val mostinf_servdel mostinf_servdel
{txt}
{com}.         
.         fre mostinf_servdel
{res}
{txt}mostinf_servdel {hline 2} More influential in determining quality of service
{txt}{hline 41}{hline 1}{c TT}{hline 44}
{txt}        {txt}                                  {c |}      Freq.    Percent      Valid       Cum.
{txt}{hline 41}{hline 1}{c +}{hline 44}
{txt}Valid   1 Elected much more influential   {c |}{res}          5       8.20      55.56      55.56
{txt}        3 About the same                  {c |}{res}          1       1.64      11.11      66.67
{txt}        5 Appointed much more influential {c |}{res}          3       4.92      33.33     100.00
{txt}        Total                             {c |}{res}          9      14.75     100.00           
{txt}Missing .                                 {c |}{res}         52      85.25                      
{txt}Total                                     {c |}{res}         61     100.00                      
{txt}{hline 41}{hline 1}{c BT}{hline 44}

{com}.         
.         gen test_mostinf_servdel = (mostinf_servdel != .)
{txt}
{com}.         replace test_mostinf_servdel = . if asked_survey == 0 
{txt}(37 real changes made, 37 to missing)

{com}.         replace test_mostinf_servdel = . if (inlist(aptpol_d,0,-98) | elecpol_ovrsee == 0)
{txt}(15 real changes made, 15 to missing)

{com}.         fre test_mostinf_servdel
{res}
{txt}test_mostinf_servdel
{txt}{hline 9}{hline 1}{c TT}{hline 44}
{txt}        {txt}  {c |}      Freq.    Percent      Valid       Cum.
{txt}{hline 9}{hline 1}{c +}{hline 44}
{txt}Valid   1 {c |}{res}          9      14.75     100.00     100.00
{txt}Missing . {c |}{res}         52      85.25                      
{txt}Total     {c |}{res}         61     100.00                      
{txt}{hline 9}{hline 1}{c BT}{hline 44}

{com}.         assert inlist(test_mostinf_servdel,.,1)
{txt}
{com}.         
.         drop test_mostinf_servdel
{txt}
{com}.         
.         * educ_elecpolbur
.         
.         lab var educ_elecpolbur "More educated bureaucrat or politician (elec. politician)"
{txt}
{com}.         
.         fre educ_elecpolbur
{res}
{txt}educ_elecpolbur {hline 2} More educated bureaucrat or politician (elec. politician)
{txt}{hline 55}{hline 1}{c TT}{hline 44}
{txt}        {txt}                                                {c |}      Freq.    Percent      Valid       Cum.
{txt}{hline 55}{hline 1}{c +}{hline 44}
{txt}Valid   About the same level of education               {c |}{res}          4       6.56      17.39      17.39
{txt}        Bureaucrats much more educated than Politicians {c |}{res}         13      21.31      56.52      73.91
{txt}        Bureaucrats slightly more educated than         {c |}{res}          6       9.84      26.09     100.00
{txt}        Politicians                                     {c |}{res}                                            
{txt}        Total                                           {c |}{res}         23      37.70     100.00           
{txt}Missing                                                 {c |}{res}         38      62.30                      
{txt}Total                                                   {c |}{res}         61     100.00                      
{txt}{hline 55}{hline 1}{c BT}{hline 44}

{com}.         
.         replace educ_elecpolbur = "1" if regexm(educ_elecpolbur,"Bureaucrats much more educated")
{txt}(13 real changes made)

{com}.         replace educ_elecpolbur = "2" if regexm(educ_elecpolbur,"Bureaucrats slightly more educated")
{txt}(6 real changes made)

{com}.         replace educ_elecpolbur = "3" if regexm(educ_elecpolbur,"About the same")
{txt}(4 real changes made)

{com}.         replace educ_elecpolbur = "4" if regexm(educ_elecpolbur,"Politicians slightly more educated")
{txt}(0 real changes made)

{com}.         replace educ_elecpolbur = "5" if regexm(educ_elecpolbur,"Politicians much more educated")
{txt}(0 real changes made)

{com}.         destring educ_elecpolbur, replace
{txt}educ_elecpolbur: all characters numeric; {res}replaced {txt}as {res}byte
{txt}(38 missing values generated)
{res}{txt}
{com}.         lab def educ_elecpolbur 1 "Bureaucrats much more educated" 2 "Bureaucrats slightly more educated" 3 "About the same" 4 "Politicians slightly more educated" 5 "Politicians much more educated"
{txt}
{com}.         lab val educ_elecpolbur educ_elecpolbur
{txt}
{com}.         
.         fre educ_elecpolbur
{res}
{txt}educ_elecpolbur {hline 2} More educated bureaucrat or politician (elec. politician)
{txt}{hline 44}{hline 1}{c TT}{hline 44}
{txt}        {txt}                                     {c |}      Freq.    Percent      Valid       Cum.
{txt}{hline 44}{hline 1}{c +}{hline 44}
{txt}Valid   1 Bureaucrats much more educated     {c |}{res}         13      21.31      56.52      56.52
{txt}        2 Bureaucrats slightly more educated {c |}{res}          6       9.84      26.09      82.61
{txt}        3 About the same                     {c |}{res}          4       6.56      17.39     100.00
{txt}        Total                                {c |}{res}         23      37.70     100.00           
{txt}Missing .                                    {c |}{res}         38      62.30                      
{txt}Total                                        {c |}{res}         61     100.00                      
{txt}{hline 44}{hline 1}{c BT}{hline 44}

{com}.         
.         gen test_educ_elecpolbur = (educ_elecpolbur != .)
{txt}
{com}.         replace test_educ_elecpolbur = . if asked_survey == 0 
{txt}(37 real changes made, 37 to missing)

{com}.         replace test_educ_elecpolbur = . if elecpol_ovrsee == 0
{txt}(1 real change made, 1 to missing)

{com}.         fre test_educ_elecpolbur
{res}
{txt}test_educ_elecpolbur
{txt}{hline 9}{hline 1}{c TT}{hline 44}
{txt}        {txt}  {c |}      Freq.    Percent      Valid       Cum.
{txt}{hline 9}{hline 1}{c +}{hline 44}
{txt}Valid   1 {c |}{res}         23      37.70     100.00     100.00
{txt}Missing . {c |}{res}         38      62.30                      
{txt}Total     {c |}{res}         61     100.00                      
{txt}{hline 9}{hline 1}{c BT}{hline 44}

{com}.         assert inlist(test_educ_elecpolbur,.,1)
{txt}
{com}.         
.         drop test_educ_elecpolbur
{txt}
{com}.         
.         * educ_apolbur
.         
.         lab var educ_apolbur "More educated bureaucrat or politician (app. politician) "
{txt}
{com}.         
.         fre educ_apolbur
{res}
{txt}educ_apolbur {hline 2} More educated bureaucrat or politician (app. politician) 
{txt}{hline 8}{hline 1}{c TT}{hline 44}
{txt}        {txt} {c |}      Freq.    Percent      Valid       Cum.
{txt}{hline 8}{hline 1}{c +}{hline 44}
{txt}Missing  {c |}{res}         61     100.00                      
{txt}{hline 8}{hline 1}{c BT}{hline 44}

{com}.         
.         replace educ_apolbur = "1" if regexm(educ_apolbur,"Bureaucrats much more educated")
{txt}(0 real changes made)

{com}.         replace educ_apolbur = "2" if regexm(educ_apolbur,"Bureaucrats slightly more educated")
{txt}(0 real changes made)

{com}.         replace educ_apolbur = "3" if regexm(educ_apolbur,"About the same")
{txt}(0 real changes made)

{com}.         replace educ_apolbur = "4" if regexm(educ_apolbur,"Politicians slightly more educated")
{txt}(0 real changes made)

{com}.         replace educ_apolbur = "5" if regexm(educ_apolbur,"Politicians much more educated")
{txt}(0 real changes made)

{com}.         destring educ_apolbur, replace
{txt}educ_apolbur: all characters numeric; {res}replaced {txt}as {res}byte
{txt}(61 missing values generated)
{res}{txt}
{com}.         lab def educ_apolbur 1 "Bureaucrats much more educated" 2 "Bureaucrats slightly more educated" 3 "About the same" 4 "Politicians slightly more educated" 5 "Politicians much more educated"
{txt}
{com}.         lab val educ_apolbur educ_apolbur
{txt}
{com}.         
.         fre educ_apolbur
{res}
{txt}educ_apolbur {hline 2} More educated bureaucrat or politician (app. politician) 
{txt}{hline 13}{hline 1}{c TT}{hline 44}
{txt}        {txt}      {c |}      Freq.    Percent      Valid       Cum.
{txt}{hline 13}{hline 1}{c +}{hline 44}
{txt}Missing .     {c |}{res}         61     100.00                      
{txt}{hline 13}{hline 1}{c BT}{hline 44}

{com}.         
.         gen test_educ_apolbur = (educ_apolbur != .)
{txt}
{com}.         replace test_educ_apolbur = . if asked_survey == 0
{txt}(37 real changes made, 37 to missing)

{com}.         replace test_educ_apolbur = . if aptpol_d == 0
{txt}(14 real changes made, 14 to missing)

{com}.         replace test_educ_apolbur = . if elecpol_ovrsee == 1 
{txt}(10 real changes made, 10 to missing)

{com}.         fre test_educ_apolbur
{res}
{txt}test_educ_apolbur
{txt}{hline 9}{hline 1}{c TT}{hline 44}
{txt}        {txt}  {c |}      Freq.    Percent      Valid       Cum.
{txt}{hline 9}{hline 1}{c +}{hline 44}
{txt}Missing . {c |}{res}         61     100.00                      
{txt}{hline 9}{hline 1}{c BT}{hline 44}

{com}.         assert inlist(test_educ_apolbur,.,1)
{txt}
{com}.         
.         drop test_educ_apolbur
{txt}
{com}.         
.         * slry_elecpolbur
.         
.         lab var slry_elecpolbur "Earning more bureaucrat or politician (elec. politician)"
{txt}
{com}.         
.         fre slry_elecpolbur
{res}
{txt}slry_elecpolbur {hline 2} Earning more bureaucrat or politician (elec. politician)
{txt}{hline 55}{hline 1}{c TT}{hline 44}
{txt}        {txt}                                                {c |}      Freq.    Percent      Valid       Cum.
{txt}{hline 55}{hline 1}{c +}{hline 44}
{txt}Valid   Both earn about the same                        {c |}{res}          4       6.56      17.39      17.39
{txt}        Bureaucrats earn much more than Politicians     {c |}{res}          5       8.20      21.74      39.13
{txt}        Bureaucrats earn slightly more than Politicians {c |}{res}          3       4.92      13.04      52.17
{txt}        Politicians earn much more than Bureaucrats     {c |}{res}          6       9.84      26.09      78.26
{txt}        Politicians earn slightly more than Bureaucrats {c |}{res}          5       8.20      21.74     100.00
{txt}        Total                                           {c |}{res}         23      37.70     100.00           
{txt}Missing                                                 {c |}{res}         38      62.30                      
{txt}Total                                                   {c |}{res}         61     100.00                      
{txt}{hline 55}{hline 1}{c BT}{hline 44}

{com}.         
.         replace slry_elecpolbur = "1" if regexm(slry_elecpolbur,"Bureaucrats earn much")
{txt}(5 real changes made)

{com}.         replace slry_elecpolbur = "2" if regexm(slry_elecpolbur,"Bureaucrats earn slightly")
{txt}(3 real changes made)

{com}.         replace slry_elecpolbur = "3" if regexm(slry_elecpolbur,"Both earn")
{txt}(4 real changes made)

{com}.         replace slry_elecpolbur = "4" if regexm(slry_elecpolbur,"Politicians earn slightly")
{txt}(5 real changes made)

{com}.         replace slry_elecpolbur = "5" if regexm(slry_elecpolbur,"Politicians earn much")
{txt}(6 real changes made)

{com}.         destring slry_elecpolbur, replace
{txt}slry_elecpolbur: all characters numeric; {res}replaced {txt}as {res}byte
{txt}(38 missing values generated)
{res}{txt}
{com}.         lab def slry_elecpolbur 1 "Bureaucrats earn much more" 2 "Bureaucrats earn slightly more" 3 "Both earn the same" 4 "Politicians earn slightly" 5 "Politicians earn much more"
{txt}
{com}.         lab val slry_elecpolbur slry_elecpolbur
{txt}
{com}.         
.         fre slry_elecpolbur
{res}
{txt}slry_elecpolbur {hline 2} Earning more bureaucrat or politician (elec. politician)
{txt}{hline 40}{hline 1}{c TT}{hline 44}
{txt}        {txt}                                 {c |}      Freq.    Percent      Valid       Cum.
{txt}{hline 40}{hline 1}{c +}{hline 44}
{txt}Valid   1 Bureaucrats earn much more     {c |}{res}          5       8.20      21.74      21.74
{txt}        2 Bureaucrats earn slightly more {c |}{res}          3       4.92      13.04      34.78
{txt}        3 Both earn the same             {c |}{res}          4       6.56      17.39      52.17
{txt}        4 Politicians earn slightly      {c |}{res}          5       8.20      21.74      73.91
{txt}        5 Politicians earn much more     {c |}{res}          6       9.84      26.09     100.00
{txt}        Total                            {c |}{res}         23      37.70     100.00           
{txt}Missing .                                {c |}{res}         38      62.30                      
{txt}Total                                    {c |}{res}         61     100.00                      
{txt}{hline 40}{hline 1}{c BT}{hline 44}

{com}.         
.         gen test_slry_elecpolbur = (slry_elecpolbur != .)
{txt}
{com}.         replace test_slry_elecpolbur = . if asked_survey == 0 
{txt}(37 real changes made, 37 to missing)

{com}.         replace test_slry_elecpolbur = . if elecpol_ovrsee == 0
{txt}(1 real change made, 1 to missing)

{com}.         fre test_slry_elecpolbur
{res}
{txt}test_slry_elecpolbur
{txt}{hline 9}{hline 1}{c TT}{hline 44}
{txt}        {txt}  {c |}      Freq.    Percent      Valid       Cum.
{txt}{hline 9}{hline 1}{c +}{hline 44}
{txt}Valid   1 {c |}{res}         23      37.70     100.00     100.00
{txt}Missing . {c |}{res}         38      62.30                      
{txt}Total     {c |}{res}         61     100.00                      
{txt}{hline 9}{hline 1}{c BT}{hline 44}

{com}.         assert inlist(test_slry_elecpolbur,.,1)
{txt}
{com}.         
.         drop test_slry_elecpolbur
{txt}
{com}.         
.         * slry_apolbur
.         
.         lab var slry_apolbur "Earning more bureaucrat or politician (app. politician)"
{txt}
{com}.         
.         fre slry_apolbur
{res}
{txt}slry_apolbur {hline 2} Earning more bureaucrat or politician (app. politician)
{txt}{hline 8}{hline 1}{c TT}{hline 44}
{txt}        {txt} {c |}      Freq.    Percent      Valid       Cum.
{txt}{hline 8}{hline 1}{c +}{hline 44}
{txt}Missing  {c |}{res}         61     100.00                      
{txt}{hline 8}{hline 1}{c BT}{hline 44}

{com}.         
.         replace slry_apolbur = "1" if regexm(slry_apolbur,"Bureaucrats earn much")
{txt}(0 real changes made)

{com}.         replace slry_apolbur = "2" if regexm(slry_apolbur,"Bureaucrats earn slightly")
{txt}(0 real changes made)

{com}.         replace slry_apolbur = "3" if regexm(slry_apolbur,"Both earn")
{txt}(0 real changes made)

{com}.         replace slry_apolbur = "4" if regexm(slry_apolbur,"Politicians earn slightly")
{txt}(0 real changes made)

{com}.         replace slry_apolbur = "5" if regexm(slry_apolbur,"Politicians earn much")
{txt}(0 real changes made)

{com}.         destring slry_apolbur, replace
{txt}slry_apolbur: all characters numeric; {res}replaced {txt}as {res}byte
{txt}(61 missing values generated)
{res}{txt}
{com}.         lab def slry_apolbur 1 "Bureaucrats earn much more" 2 "Bureaucrats earn slightly more" 3 "Both earn the same" 4 "Politicians earn slightly" 5 "Politicians earn much more"
{txt}
{com}.         lab val slry_apolbur slry_apolbur
{txt}
{com}.         
.         fre slry_apolbur
{res}
{txt}slry_apolbur {hline 2} Earning more bureaucrat or politician (app. politician)
{txt}{hline 13}{hline 1}{c TT}{hline 44}
{txt}        {txt}      {c |}      Freq.    Percent      Valid       Cum.
{txt}{hline 13}{hline 1}{c +}{hline 44}
{txt}Missing .     {c |}{res}         61     100.00                      
{txt}{hline 13}{hline 1}{c BT}{hline 44}

{com}.         
.         gen test_slry_apolbur = (slry_apolbur != .)
{txt}
{com}.         replace test_slry_apolbur = . if asked_survey == 0
{txt}(37 real changes made, 37 to missing)

{com}.         replace test_slry_apolbur = . if aptpol_d == 0
{txt}(14 real changes made, 14 to missing)

{com}.         replace test_slry_apolbur = . if elecpol_ovrsee == 1 
{txt}(10 real changes made, 10 to missing)

{com}.         fre test_slry_apolbur
{res}
{txt}test_slry_apolbur
{txt}{hline 9}{hline 1}{c TT}{hline 44}
{txt}        {txt}  {c |}      Freq.    Percent      Valid       Cum.
{txt}{hline 9}{hline 1}{c +}{hline 44}
{txt}Missing . {c |}{res}         61     100.00                      
{txt}{hline 9}{hline 1}{c BT}{hline 44}

{com}.         assert inlist(test_slry_apolbur,.,1)
{txt}
{com}.         
.         drop test_slry_apolbur
{txt}
{com}.         
.         e

{txt}end of do-file


{com}. fre responseid 
{res}
{txt}responseid {hline 2} ResponseId
{txt}{hline 25}{hline 1}{c TT}{hline 44}
{txt}        {txt}                  {c |}      Freq.    Percent      Valid       Cum.
{txt}{hline 25}{hline 1}{c +}{hline 44}
{txt}Valid   R_21hDKDJN0M2fmmC {c |}{res}          5       8.20       8.20       8.20
{txt}        R_25YP7KgejidUW3P {c |}{res}          4       6.56       6.56      14.75
{txt}        R_2dWInEdQoffKi5S {c |}{res}          6       9.84       9.84      24.59
{txt}        R_2fx5r9OU3uO0Otk {c |}{res}          5       8.20       8.20      32.79
{txt}        R_2q1BnEMbgNJjElf {c |}{res}          6       9.84       9.84      42.62
{txt}        R_4Iow7YzsoT2KTOx {c |}{res}          6       9.84       9.84      52.46
{txt}        R_4ouc7tR6BFj3gpb {c |}{res}          6       9.84       9.84      62.30
{txt}        R_5ZUl0N498ejlFzo {c |}{res}          6       9.84       9.84      72.13
{txt}        R_8FixDaKR3A3j7JT {c |}{res}          6       9.84       9.84      81.97
{txt}        R_8eQ28by3zJkJKIG {c |}{res}          5       8.20       8.20      90.16
{txt}        R_97seYprl20UhE0E {c |}{res}          6       9.84       9.84     100.00
{txt}        Total             {c |}{res}         61     100.00     100.00           
{txt}{hline 25}{hline 1}{c BT}{hline 44}

{com}. distinct responseid 

{txt}{col 13}{c |}        Observations
{col 13}{c |}      total   distinct
{hline 12}{c +}{hline 22}
 responseid {c |}  {res}       61         11

{com}. do "/var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//SD44938.000000"
{txt}
{com}. 
.         * Purpose: Importing data to run HFC
.         
.         * Setting up globals
.         
.         if "`c(username)'" == "fredericcochinard" {c -(}
.                 
.                 global import_folder "/Users/fredericcochinard/Dropbox/Expert survey/Data/0.survey_dataset/0.import"
.                 global output "/Users/fredericcochinard/Dropbox/Expert survey/Data/0.survey_dataset/1.output"
.                 
.                 {c )-}
{txt}
{com}.                 
.         if "`c(username)'" == "" {c -(}
.         
.                 
.                 {c )-}
{txt}
{com}.         
.         * Looking for renaming folder with problem
.         
.         local myfiles: dir "$import_folder" files "*.xlsx"
{txt}
{com}. 
.         foreach file of local myfiles {c -(}
{txt}  2{com}.                 
.                 local subfile = substr("`file'", 1, .)
{txt}  3{com}.                 local subfile : subinstr local subfile " " "_", all
{txt}  4{com}.                 ! mv "${c -(}import_folder{c )-}/`file'" "${c -(}import_folder{c )-}/`subfile'"
{txt}  5{com}.                 
.                 {c )-}
{txt}

{com}.         
.         * Looking for dataset
.         
.         filelist , dir("$import_folder") pat("*.xlsx")
{res}{txt}Number of files found = {res}1
{txt}
{com}.         
.         gen url = filename
{txt}
{com}.         
.         levelsof url
{txt}`"Expert_survey_February_18,_2025_16.23.xlsx"'

{com}. 
.         local lvlfiles `r(levels)'
{txt}
{com}.         
.         local z = 0
{txt}
{com}.         
.         foreach lvl of local lvlfiles {c -(}
{txt}  2{com}.         
.                 local z = `z' + 1
{txt}  3{com}.                 
.                 local temp : subinstr local lvl `"""' "", all
{txt}  4{com}.                 local url : subinstr local temp "'" "", all
{txt}  5{com}.         
.                 import excel "${c -(}import_folder{c )-}/`url'", first case(lower) clear
{txt}  6{com}.                 
.                 gen num = _n
{txt}  7{com}.                 drop if num == 1
{txt}  8{com}.                 
.                 * Preparing the append
.                 
.                 tempfile data`z'
{txt}  9{com}.                 sa "`data`z''"
{txt} 10{com}.                 
.                 {c )-}
{res}{txt}(1 observation deleted)
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.000001 saved

{com}.                 
.         * We append the dataset to start cleaning
.         
.         use "`data1'", clear
{txt}
{com}.         
.         forvalues x = 2/`z' {c -(}
{txt}  2{com}.         
.                 append using "`data`x''"
{txt}  3{com}.                 
.                 {c )-}
{txt}
{com}.                 
.         duplicates drop

{p 0 4}{txt}Duplicates in terms of {txt} all variables{p_end}

(0 observations are duplicates)

{com}.         
.         * We keep relevant variable
.         drop if recipientemail == "frederic.cochinard@gmail.com"
{txt}(8 observations deleted)

{com}.         drop if recipientemail == "vedpant+spanish@college.harvard.edu"
{txt}(1 observation deleted)

{com}.         drop if recipientemail == "frederic.cochinard+3@gmail.com"
{txt}(1 observation deleted)

{com}.         drop if recipientemail == "frederic.cochinard+1@gmail.com"
{txt}(1 observation deleted)

{com}.         e

{txt}end of do-file


{com}. distinct responseid 

{txt}{col 13}{c |}        Observations
{col 13}{c |}      total   distinct
{hline 12}{c +}{hline 22}
 responseid {c |}  {res}       20         20

{com}. do "/var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//SD44938.000000"
{txt}
{com}. 
.         * Purpose: Importing data to run HFC
.         
.         * Setting up globals
.         
.         if "`c(username)'" == "fredericcochinard" {c -(}
.                 
.                 global import_folder "/Users/fredericcochinard/Dropbox/Expert survey/Data/0.survey_dataset/0.import"
.                 global output "/Users/fredericcochinard/Dropbox/Expert survey/Data/0.survey_dataset/1.output"
.                 
.                 {c )-}
{txt}
{com}.                 
.         if "`c(username)'" == "" {c -(}
.         
.                 
.                 {c )-}
{txt}
{com}.         
.         * Looking for renaming folder with problem
.         
.         local myfiles: dir "$import_folder" files "*.xlsx"
{txt}
{com}. 
.         foreach file of local myfiles {c -(}
{txt}  2{com}.                 
.                 local subfile = substr("`file'", 1, .)
{txt}  3{com}.                 local subfile : subinstr local subfile " " "_", all
{txt}  4{com}.                 ! mv "${c -(}import_folder{c )-}/`file'" "${c -(}import_folder{c )-}/`subfile'"
{txt}  5{com}.                 
.                 {c )-}
{txt}

{com}.         
.         * Looking for dataset
.         
.         filelist , dir("$import_folder") pat("*.xlsx")
{res}{txt}Number of files found = {res}1
{txt}
{com}.         
.         gen url = filename
{txt}
{com}.         
.         levelsof url
{txt}`"Expert_survey_February_18,_2025_16.23.xlsx"'

{com}. 
.         local lvlfiles `r(levels)'
{txt}
{com}.         
.         local z = 0
{txt}
{com}.         
.         foreach lvl of local lvlfiles {c -(}
{txt}  2{com}.         
.                 local z = `z' + 1
{txt}  3{com}.                 
.                 local temp : subinstr local lvl `"""' "", all
{txt}  4{com}.                 local url : subinstr local temp "'" "", all
{txt}  5{com}.         
.                 import excel "${c -(}import_folder{c )-}/`url'", first case(lower) clear
{txt}  6{com}.                 
.                 gen num = _n
{txt}  7{com}.                 drop if num == 1
{txt}  8{com}.                 
.                 * Preparing the append
.                 
.                 tempfile data`z'
{txt}  9{com}.                 sa "`data`z''"
{txt} 10{com}.                 
.                 {c )-}
{res}{txt}(1 observation deleted)
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.000001 saved

{com}.                 
.         * We append the dataset to start cleaning
.         
.         use "`data1'", clear
{txt}
{com}.         
.         forvalues x = 2/`z' {c -(}
{txt}  2{com}.         
.                 append using "`data`x''"
{txt}  3{com}.                 
.                 {c )-}
{txt}
{com}.                 
.         duplicates drop

{p 0 4}{txt}Duplicates in terms of {txt} all variables{p_end}

(0 observations are duplicates)

{com}.         
.         * We keep relevant variable
.         drop if recipientemail == "frederic.cochinard@gmail.com"
{txt}(8 observations deleted)

{com}.         drop if recipientemail == "vedpant+spanish@college.harvard.edu"
{txt}(1 observation deleted)

{com}.         drop if recipientemail == "frederic.cochinard+3@gmail.com"
{txt}(1 observation deleted)

{com}.         drop if recipientemail == "frederic.cochinard+1@gmail.com"
{txt}(1 observation deleted)

{com}.         
.         * We remove observation that are not finished
.         drop if finished == "False"
{txt}(9 observations deleted)

{com}.         
.         * We create a save
.         
.         tempfile save_data
{txt}
{com}.         sa "`save_data'"
{txt}file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.000002 saved

{com}.         e

{txt}end of do-file


{com}. compress
  {txt}variable {bf}num{sf} was {bf}{res}float{sf}{txt} now {bf}{res}byte{sf}
  {txt}variable {bf}status{sf} was {bf}{res}str13{sf}{txt} now {bf}{res}str10{sf}
  {txt}variable {bf}progress{sf} was {bf}{res}str8{sf}{txt} now {bf}{res}str3{sf}
  {txt}variable {bf}durationinseconds{sf} was {bf}{res}str21{sf}{txt} now {bf}{res}str4{sf}
  {txt}variable {bf}finished{sf} was {bf}{res}str8{sf}{txt} now {bf}{res}str4{sf}
  {txt}variable {bf}recipientlastname{sf} was {bf}{res}str19{sf}{txt} now {bf}{res}str1{sf}
  {txt}variable {bf}recipientfirstname{sf} was {bf}{res}str20{sf}{txt} now {bf}{res}str1{sf}
  {txt}variable {bf}recipientemail{sf} was {bf}{res}str35{sf}{txt} now {bf}{res}str32{sf}
  {txt}variable {bf}externalreference{sf} was {bf}{res}str23{sf}{txt} now {bf}{res}str1{sf}
  {txt}variable {bf}locationlongitude{sf} was {bf}{res}str18{sf}{txt} now {bf}{res}str17{sf}
  {txt}variable {bf}distributionchannel{sf} was {bf}{res}str20{sf}{txt} now {bf}{res}str5{sf}
  {txt}variable {bf}userlanguage{sf} was {bf}{res}str13{sf}{txt} now {bf}{res}str2{sf}
  {txt}variable {bf}coup_lgs3{sf} was {bf}{res}str132{sf}{txt} now {bf}{res}str80{sf}
  {txt}variable {bf}note_def{sf} was {bf}{res}str733{sf}{txt} now {bf}{res}str45{sf}
  {txt}variable {bf}confirmation_3_1{sf} was {bf}{res}str422{sf}{txt} now {bf}{res}str21{sf}
  {txt}variable {bf}confirmation_3_2{sf} was {bf}{res}str422{sf}{txt} now {bf}{res}str63{sf}
  {txt}variable {bf}confirmation_3_3{sf} was {bf}{res}str422{sf}{txt} now {bf}{res}str63{sf}
  {txt}variable {bf}edit_unit1_d_3{sf} was {bf}{res}str164{sf}{txt} now {bf}{res}str1{sf}
  {txt}variable {bf}edit_unit2_d_3{sf} was {bf}{res}str164{sf}{txt} now {bf}{res}str20{sf}
  {txt}variable {bf}edit_unit3_d_3{sf} was {bf}{res}str164{sf}{txt} now {bf}{res}str20{sf}
  {txt}variable {bf}edit_nameunit1_3{sf} was {bf}{res}str108{sf}{txt} now {bf}{res}str1{sf}
  {txt}variable {bf}edit_nameunit2_3{sf} was {bf}{res}str108{sf}{txt} now {bf}{res}str1{sf}
  {txt}variable {bf}edit_nameunit3_3{sf} was {bf}{res}str109{sf}{txt} now {bf}{res}str1{sf}
  {txt}variable {bf}dlvry_mostimp_3{sf} was {bf}{res}str110{sf}{txt} now {bf}{res}str18{sf}
  {txt}variable {bf}addlvl_onlyburo_d_3{sf} was {bf}{res}str116{sf}{txt} now {bf}{res}str3{sf}
  {txt}variable {bf}addlvl_n_onlyburo_3{sf} was {bf}{res}str127{sf}{txt} now {bf}{res}str27{sf}
  {txt}variable {bf}title_bur_3_1{sf} was {bf}{res}str408{sf}{txt} now {bf}{res}str235{sf}
  {txt}variable {bf}elecpol_ovrsee_3_1{sf} was {bf}{res}str320{sf}{txt} now {bf}{res}str3{sf}
  {txt}variable {bf}aptpol_d_3_1{sf} was {bf}{res}str316{sf}{txt} now {bf}{res}str3{sf}
  {txt}variable {bf}who_aptpol_3_1{sf} was {bf}{res}str96{sf}{txt} now {bf}{res}str75{sf}
  {txt}variable {bf}mostinf_servdel_3_1{sf} was {bf}{res}str238{sf}{txt} now {bf}{res}str44{sf}
  {txt}variable {bf}educ_elecpolbur_3_1{sf} was {bf}{res}str239{sf}{txt} now {bf}{res}str51{sf}
  {txt}variable {bf}educ_apolbur_3_1{sf} was {bf}{res}str241{sf}{txt} now {bf}{res}str1{sf}
  {txt}variable {bf}slry_elecpolbur_3_1{sf} was {bf}{res}str297{sf}{txt} now {bf}{res}str47{sf}
  {txt}variable {bf}slry_apolbur_3_1{sf} was {bf}{res}str299{sf}{txt} now {bf}{res}str1{sf}
  {txt}variable {bf}fdout_epol_bgt_3_1{sf} was {bf}{res}str340{sf}{txt} now {bf}{res}str14{sf}
  {txt}variable {bf}fdout_apol_bgt_3_1{sf} was {bf}{res}str342{sf}{txt} now {bf}{res}str1{sf}
  {txt}variable {bf}budsect_epol_3_1{sf} was {bf}{res}str199{sf}{txt} now {bf}{res}str13{sf}
  {txt}variable {bf}budsect_apol_3_1{sf} was {bf}{res}str201{sf}{txt} now {bf}{res}str1{sf}
  {txt}variable {bf}acinfexp_epol_3_1{sf} was {bf}{res}str199{sf}{txt} now {bf}{res}str19{sf}
  {txt}variable {bf}acinfexp_apol_3_1{sf} was {bf}{res}str201{sf}{txt} now {bf}{res}str1{sf}
  {txt}variable {bf}understand_epol_3_1{sf} was {bf}{res}str197{sf}{txt} now {bf}{res}str20{sf}
  {txt}variable {bf}understand_apol_3_1{sf} was {bf}{res}str199{sf}{txt} now {bf}{res}str1{sf}
  {txt}variable {bf}acttake_epol_3_1{sf} was {bf}{res}str244{sf}{txt} now {bf}{res}str163{sf}
  {txt}variable {bf}acttake_epol_3_1_9_text{sf} was {bf}{res}str258{sf}{txt} now {bf}{res}str19{sf}
  {txt}variable {bf}acttake_apol_3_1{sf} was {bf}{res}str246{sf}{txt} now {bf}{res}str1{sf}
  {txt}variable {bf}acttake_apol_3_1_9_text{sf} was {bf}{res}str260{sf}{txt} now {bf}{res}str1{sf}
  {txt}variable {bf}likely_3_1{sf} was {bf}{res}str141{sf}{txt} now {bf}{res}str16{sf}
  {txt}variable {bf}why_likchan_3_1{sf} was {bf}{res}str12{sf}{txt} now {bf}{res}str1{sf}
  {txt}variable {bf}who_apt_bur_3_1{sf} was {bf}{res}str108{sf}{txt} now {bf}{res}str49{sf}
  {txt}variable {bf}who_apt_bur_3_1_8_text{sf} was {bf}{res}str122{sf}{txt} now {bf}{res}str18{sf}
  {txt}variable {bf}who_fir_bur_3_1{sf} was {bf}{res}str103{sf}{txt} now {bf}{res}str49{sf}
  {txt}variable {bf}who_fir_bur_3_1_8_text{sf} was {bf}{res}str117{sf}{txt} now {bf}{res}str18{sf}
  {txt}variable {bf}ocap_epol_3_1{sf} was {bf}{res}str340{sf}{txt} now {bf}{res}str47{sf}
  {txt}variable {bf}ocap_apol_3_1{sf} was {bf}{res}str342{sf}{txt} now {bf}{res}str1{sf}
  {txt}variable {bf}prio_epol_3_1{sf} was {bf}{res}str206{sf}{txt} now {bf}{res}str73{sf}
  {txt}variable {bf}prio_apol_3_1{sf} was {bf}{res}str208{sf}{txt} now {bf}{res}str1{sf}
  {txt}variable {bf}overall_conf_3_1{sf} was {bf}{res}str175{sf}{txt} now {bf}{res}str17{sf}
  {txt}variable {bf}title_bur_3_2{sf} was {bf}{res}str402{sf}{txt} now {bf}{res}str38{sf}
  {txt}variable {bf}elecpol_ovrsee_3_2{sf} was {bf}{res}str320{sf}{txt} now {bf}{res}str3{sf}
  {txt}variable {bf}aptpol_d_3_2{sf} was {bf}{res}str316{sf}{txt} now {bf}{res}str30{sf}
  {txt}variable {bf}title_aptpol_3_2{sf} was {bf}{res}str75{sf}{txt} now {bf}{res}str41{sf}
  {txt}variable {bf}mostinf_servdel_3_2{sf} was {bf}{res}str240{sf}{txt} now {bf}{res}str44{sf}
  {txt}variable {bf}educ_elecpolbur_3_2{sf} was {bf}{res}str240{sf}{txt} now {bf}{res}str51{sf}
  {txt}variable {bf}educ_apolbur_3_2{sf} was {bf}{res}str244{sf}{txt} now {bf}{res}str1{sf}
  {txt}variable {bf}slry_elecpolbur_3_2{sf} was {bf}{res}str300{sf}{txt} now {bf}{res}str47{sf}
  {txt}variable {bf}slry_apolbur_3_2{sf} was {bf}{res}str302{sf}{txt} now {bf}{res}str1{sf}
  {txt}variable {bf}fdout_epol_bgt_3_2{sf} was {bf}{res}str341{sf}{txt} now {bf}{res}str19{sf}
  {txt}variable {bf}fdout_apol_bgt_3_2{sf} was {bf}{res}str343{sf}{txt} now {bf}{res}str1{sf}
  {txt}variable {bf}budsect_epol_3_2{sf} was {bf}{res}str200{sf}{txt} now {bf}{res}str19{sf}
  {txt}variable {bf}budsect_apol_3_2{sf} was {bf}{res}str202{sf}{txt} now {bf}{res}str1{sf}
  {txt}variable {bf}acinfexp_epol_3_2{sf} was {bf}{res}str200{sf}{txt} now {bf}{res}str19{sf}
  {txt}variable {bf}acinfexp_apol_3_2{sf} was {bf}{res}str202{sf}{txt} now {bf}{res}str1{sf}
  {txt}variable {bf}understand_epol_3_2{sf} was {bf}{res}str198{sf}{txt} now {bf}{res}str17{sf}
  {txt}variable {bf}understand_apol_3_2{sf} was {bf}{res}str200{sf}{txt} now {bf}{res}str1{sf}
  {txt}variable {bf}acttake_epol_3_2{sf} was {bf}{res}str247{sf}{txt} now {bf}{res}str127{sf}
  {txt}variable {bf}acttake_epol_3_2_9_text{sf} was {bf}{res}str261{sf}{txt} now {bf}{res}str19{sf}
  {txt}variable {bf}acttake_apol_3_2{sf} was {bf}{res}str249{sf}{txt} now {bf}{res}str1{sf}
  {txt}variable {bf}acttake_apol_3_2_9_text{sf} was {bf}{res}str263{sf}{txt} now {bf}{res}str1{sf}
  {txt}variable {bf}likely_3_2{sf} was {bf}{res}str143{sf}{txt} now {bf}{res}str1{sf}
  {txt}variable {bf}who_apt_bur_3_2{sf} was {bf}{res}str110{sf}{txt} now {bf}{res}str64{sf}
  {txt}variable {bf}who_apt_bur_3_2_8_text{sf} was {bf}{res}str124{sf}{txt} now {bf}{res}str18{sf}
  {txt}variable {bf}who_fir_bur_3_2{sf} was {bf}{res}str105{sf}{txt} now {bf}{res}str64{sf}
  {txt}variable {bf}who_fir_bur_3_2_8_text{sf} was {bf}{res}str119{sf}{txt} now {bf}{res}str18{sf}
  {txt}variable {bf}ocap_epol_3_2{sf} was {bf}{res}str343{sf}{txt} now {bf}{res}str47{sf}
  {txt}variable {bf}ocap_apol_3_2{sf} was {bf}{res}str345{sf}{txt} now {bf}{res}str1{sf}
  {txt}variable {bf}prio_epol_3_2{sf} was {bf}{res}str209{sf}{txt} now {bf}{res}str73{sf}
  {txt}variable {bf}prio_apol_3_2{sf} was {bf}{res}str211{sf}{txt} now {bf}{res}str1{sf}
  {txt}variable {bf}overall_conf_3_2{sf} was {bf}{res}str175{sf}{txt} now {bf}{res}str17{sf}
  {txt}variable {bf}title_bur_3_3{sf} was {bf}{res}str402{sf}{txt} now {bf}{res}str32{sf}
  {txt}variable {bf}elecpol_ovrsee_3_3{sf} was {bf}{res}str320{sf}{txt} now {bf}{res}str3{sf}
  {txt}variable {bf}title_elecpol_3_3{sf} was {bf}{res}str73{sf}{txt} now {bf}{res}str24{sf}
  {txt}variable {bf}aptpol_d_3_3{sf} was {bf}{res}str316{sf}{txt} now {bf}{res}str3{sf}
  {txt}variable {bf}title_aptpol_3_3{sf} was {bf}{res}str75{sf}{txt} now {bf}{res}str34{sf}
  {txt}variable {bf}mostinf_servdel_3_3{sf} was {bf}{res}str240{sf}{txt} now {bf}{res}str44{sf}
  {txt}variable {bf}educ_elecpolbur_3_3{sf} was {bf}{res}str242{sf}{txt} now {bf}{res}str51{sf}
  {txt}variable {bf}educ_apolbur_3_3{sf} was {bf}{res}str240{sf}{txt} now {bf}{res}str1{sf}
  {txt}variable {bf}slry_elecpolbur_3_3{sf} was {bf}{res}str300{sf}{txt} now {bf}{res}str47{sf}
  {txt}variable {bf}slry_apolbur_3_3{sf} was {bf}{res}str302{sf}{txt} now {bf}{res}str1{sf}
  {txt}variable {bf}fdout_epol_bgt_3_3{sf} was {bf}{res}str341{sf}{txt} now {bf}{res}str14{sf}
  {txt}variable {bf}fdout_apol_bgt_3_3{sf} was {bf}{res}str343{sf}{txt} now {bf}{res}str1{sf}
  {txt}variable {bf}budsect_epol_3_3{sf} was {bf}{res}str200{sf}{txt} now {bf}{res}str14{sf}
  {txt}variable {bf}budsect_apol_3_3{sf} was {bf}{res}str202{sf}{txt} now {bf}{res}str1{sf}
  {txt}variable {bf}acinfexp_epol_3_3{sf} was {bf}{res}str200{sf}{txt} now {bf}{res}str19{sf}
  {txt}variable {bf}acinfexp_apol_3_3{sf} was {bf}{res}str202{sf}{txt} now {bf}{res}str1{sf}
  {txt}variable {bf}understand_epol_3_3{sf} was {bf}{res}str198{sf}{txt} now {bf}{res}str17{sf}
  {txt}variable {bf}understand_apol_3_3{sf} was {bf}{res}str200{sf}{txt} now {bf}{res}str1{sf}
  {txt}variable {bf}acttake_epol_3_3{sf} was {bf}{res}str247{sf}{txt} now {bf}{res}str127{sf}
  {txt}variable {bf}acttake_epol_3_3_9_text{sf} was {bf}{res}str261{sf}{txt} now {bf}{res}str1{sf}
  {txt}variable {bf}acttake_apol_3_3{sf} was {bf}{res}str249{sf}{txt} now {bf}{res}str1{sf}
  {txt}variable {bf}acttake_apol_3_3_9_text{sf} was {bf}{res}str263{sf}{txt} now {bf}{res}str1{sf}
  {txt}variable {bf}likely_3_3{sf} was {bf}{res}str143{sf}{txt} now {bf}{res}str1{sf}
  {txt}variable {bf}why_likchan_3_3{sf} was {bf}{res}str12{sf}{txt} now {bf}{res}str1{sf}
  {txt}variable {bf}who_apt_bur_3_3{sf} was {bf}{res}str110{sf}{txt} now {bf}{res}str64{sf}
  {txt}variable {bf}who_apt_bur_3_3_8_text{sf} was {bf}{res}str124{sf}{txt} now {bf}{res}str1{sf}
  {txt}variable {bf}who_fir_bur_3_3{sf} was {bf}{res}str106{sf}{txt} now {bf}{res}str64{sf}
  {txt}variable {bf}who_fir_bur_3_3_8_text{sf} was {bf}{res}str120{sf}{txt} now {bf}{res}str1{sf}
  {txt}variable {bf}ocap_epol_3_3{sf} was {bf}{res}str343{sf}{txt} now {bf}{res}str47{sf}
  {txt}variable {bf}ocap_apol_3_3{sf} was {bf}{res}str345{sf}{txt} now {bf}{res}str1{sf}
  {txt}variable {bf}prio_epol_3_3{sf} was {bf}{res}str209{sf}{txt} now {bf}{res}str73{sf}
  {txt}variable {bf}prio_apol_3_3{sf} was {bf}{res}str211{sf}{txt} now {bf}{res}str1{sf}
  {txt}variable {bf}overall_conf_3_3{sf} was {bf}{res}str175{sf}{txt} now {bf}{res}str17{sf}
  {txt}variable {bf}title_bur_3_4{sf} was {bf}{res}str445{sf}{txt} now {bf}{res}str1{sf}
  {txt}variable {bf}elecpol_ovrsee_3_4{sf} was {bf}{res}str350{sf}{txt} now {bf}{res}str1{sf}
  {txt}variable {bf}title_elecpol_3_4{sf} was {bf}{res}str311{sf}{txt} now {bf}{res}str1{sf}
  {txt}variable {bf}aptpol_d_3_4{sf} was {bf}{res}str331{sf}{txt} now {bf}{res}str1{sf}
  {txt}variable {bf}title_aptpol_3_4{sf} was {bf}{res}str90{sf}{txt} now {bf}{res}str1{sf}
  {txt}variable {bf}who_aptpol_3_4{sf} was {bf}{res}str47{sf}{txt} now {bf}{res}str1{sf}
  {txt}variable {bf}mostinf_servdel_3_4{sf} was {bf}{res}str255{sf}{txt} now {bf}{res}str1{sf}
  {txt}variable {bf}educ_elecpolbur_3_4{sf} was {bf}{res}str257{sf}{txt} now {bf}{res}str1{sf}
  {txt}variable {bf}educ_apolbur_3_4{sf} was {bf}{res}str259{sf}{txt} now {bf}{res}str1{sf}
  {txt}variable {bf}slry_elecpolbur_3_4{sf} was {bf}{res}str315{sf}{txt} now {bf}{res}str1{sf}
  {txt}variable {bf}slry_apolbur_3_4{sf} was {bf}{res}str317{sf}{txt} now {bf}{res}str1{sf}
  {txt}variable {bf}fdout_epol_bgt_3_4{sf} was {bf}{res}str371{sf}{txt} now {bf}{res}str1{sf}
  {txt}variable {bf}fdout_apol_bgt_3_4{sf} was {bf}{res}str373{sf}{txt} now {bf}{res}str1{sf}
  {txt}variable {bf}budsect_epol_3_4{sf} was {bf}{res}str215{sf}{txt} now {bf}{res}str1{sf}
  {txt}variable {bf}budsect_apol_3_4{sf} was {bf}{res}str217{sf}{txt} now {bf}{res}str1{sf}
  {txt}variable {bf}acinfexp_epol_3_4{sf} was {bf}{res}str215{sf}{txt} now {bf}{res}str1{sf}
  {txt}variable {bf}acinfexp_apol_3_4{sf} was {bf}{res}str217{sf}{txt} now {bf}{res}str1{sf}
  {txt}variable {bf}understand_epol_3_4{sf} was {bf}{res}str213{sf}{txt} now {bf}{res}str1{sf}
  {txt}variable {bf}understand_apol_3_4{sf} was {bf}{res}str215{sf}{txt} now {bf}{res}str1{sf}
  {txt}variable {bf}acttake_epol_3_4{sf} was {bf}{res}str245{sf}{txt} now {bf}{res}str1{sf}
  {txt}variable {bf}acttake_epol_3_4_9_text{sf} was {bf}{res}str259{sf}{txt} now {bf}{res}str1{sf}
  {txt}variable {bf}acttake_apol_3_4{sf} was {bf}{res}str249{sf}{txt} now {bf}{res}str1{sf}
  {txt}variable {bf}acttake_apol_3_4_9_text{sf} was {bf}{res}str263{sf}{txt} now {bf}{res}str1{sf}
  {txt}variable {bf}likely_3_4{sf} was {bf}{res}str158{sf}{txt} now {bf}{res}str1{sf}
  {txt}variable {bf}why_likchan_3_4{sf} was {bf}{res}str12{sf}{txt} now {bf}{res}str1{sf}
  {txt}variable {bf}who_apt_bur_3_4{sf} was {bf}{res}str125{sf}{txt} now {bf}{res}str1{sf}
  {txt}variable {bf}who_apt_bur_3_4_8_text{sf} was {bf}{res}str139{sf}{txt} now {bf}{res}str1{sf}
  {txt}variable {bf}who_fir_bur_3_4{sf} was {bf}{res}str119{sf}{txt} now {bf}{res}str1{sf}
  {txt}variable {bf}who_fir_bur_3_4_8_text{sf} was {bf}{res}str133{sf}{txt} now {bf}{res}str1{sf}
  {txt}variable {bf}ocap_epol_3_4{sf} was {bf}{res}str358{sf}{txt} now {bf}{res}str1{sf}
  {txt}variable {bf}ocap_apol_3_4{sf} was {bf}{res}str360{sf}{txt} now {bf}{res}str1{sf}
  {txt}variable {bf}prio_epol_3_4{sf} was {bf}{res}str209{sf}{txt} now {bf}{res}str1{sf}
  {txt}variable {bf}prio_apol_3_4{sf} was {bf}{res}str211{sf}{txt} now {bf}{res}str1{sf}
  {txt}variable {bf}overall_conf_3_4{sf} was {bf}{res}str190{sf}{txt} now {bf}{res}str1{sf}
  {txt}variable {bf}title_bur_3_5{sf} was {bf}{res}str445{sf}{txt} now {bf}{res}str1{sf}
  {txt}variable {bf}elecpol_ovrsee_3_5{sf} was {bf}{res}str350{sf}{txt} now {bf}{res}str1{sf}
  {txt}variable {bf}title_elecpol_3_5{sf} was {bf}{res}str311{sf}{txt} now {bf}{res}str1{sf}
  {txt}variable {bf}aptpol_d_3_5{sf} was {bf}{res}str331{sf}{txt} now {bf}{res}str1{sf}
  {txt}variable {bf}title_aptpol_3_5{sf} was {bf}{res}str90{sf}{txt} now {bf}{res}str1{sf}
  {txt}variable {bf}who_aptpol_3_5{sf} was {bf}{res}str47{sf}{txt} now {bf}{res}str1{sf}
  {txt}variable {bf}mostinf_servdel_3_5{sf} was {bf}{res}str255{sf}{txt} now {bf}{res}str1{sf}
  {txt}variable {bf}educ_elecpolbur_3_5{sf} was {bf}{res}str257{sf}{txt} now {bf}{res}str1{sf}
  {txt}variable {bf}educ_apolbur_3_5{sf} was {bf}{res}str259{sf}{txt} now {bf}{res}str1{sf}
  {txt}variable {bf}slry_elecpolbur_3_5{sf} was {bf}{res}str315{sf}{txt} now {bf}{res}str1{sf}
  {txt}variable {bf}slry_apolbur_3_5{sf} was {bf}{res}str317{sf}{txt} now {bf}{res}str1{sf}
  {txt}variable {bf}fdout_epol_bgt_3_5{sf} was {bf}{res}str371{sf}{txt} now {bf}{res}str1{sf}
  {txt}variable {bf}fdout_apol_bgt_3_5{sf} was {bf}{res}str373{sf}{txt} now {bf}{res}str1{sf}
  {txt}variable {bf}budsect_epol_3_5{sf} was {bf}{res}str215{sf}{txt} now {bf}{res}str1{sf}
  {txt}variable {bf}budsect_apol_3_5{sf} was {bf}{res}str217{sf}{txt} now {bf}{res}str1{sf}
  {txt}variable {bf}acinfexp_epol_3_5{sf} was {bf}{res}str215{sf}{txt} now {bf}{res}str1{sf}
  {txt}variable {bf}acinfexp_apol_3_5{sf} was {bf}{res}str217{sf}{txt} now {bf}{res}str1{sf}
  {txt}variable {bf}understand_epol_3_5{sf} was {bf}{res}str213{sf}{txt} now {bf}{res}str1{sf}
  {txt}variable {bf}understand_apol_3_5{sf} was {bf}{res}str215{sf}{txt} now {bf}{res}str1{sf}
  {txt}variable {bf}acttake_epol_3_5{sf} was {bf}{res}str247{sf}{txt} now {bf}{res}str1{sf}
  {txt}variable {bf}acttake_epol_3_5_9_text{sf} was {bf}{res}str261{sf}{txt} now {bf}{res}str1{sf}
  {txt}variable {bf}acttake_apol_3_5{sf} was {bf}{res}str247{sf}{txt} now {bf}{res}str1{sf}
  {txt}variable {bf}acttake_apol_3_5_9_text{sf} was {bf}{res}str261{sf}{txt} now {bf}{res}str1{sf}
  {txt}variable {bf}likely_3_5{sf} was {bf}{res}str158{sf}{txt} now {bf}{res}str1{sf}
  {txt}variable {bf}why_likchan_3_5{sf} was {bf}{res}str12{sf}{txt} now {bf}{res}str1{sf}
  {txt}variable {bf}who_apt_bur_3_5{sf} was {bf}{res}str125{sf}{txt} now {bf}{res}str1{sf}
  {txt}variable {bf}who_apt_bur_3_5_8_text{sf} was {bf}{res}str139{sf}{txt} now {bf}{res}str1{sf}
  {txt}variable {bf}who_fir_bur_3_5{sf} was {bf}{res}str119{sf}{txt} now {bf}{res}str1{sf}
  {txt}variable {bf}who_fir_bur_3_5_8_text{sf} was {bf}{res}str133{sf}{txt} now {bf}{res}str1{sf}
  {txt}variable {bf}ocap_epol_3_5{sf} was {bf}{res}str358{sf}{txt} now {bf}{res}str1{sf}
  {txt}variable {bf}ocap_apol_3_5{sf} was {bf}{res}str360{sf}{txt} now {bf}{res}str1{sf}
  {txt}variable {bf}prio_epol_3_5{sf} was {bf}{res}str209{sf}{txt} now {bf}{res}str1{sf}
  {txt}variable {bf}prio_apol_3_5{sf} was {bf}{res}str211{sf}{txt} now {bf}{res}str1{sf}
  {txt}variable {bf}overall_conf_3_5{sf} was {bf}{res}str190{sf}{txt} now {bf}{res}str1{sf}
  {txt}variable {bf}title_bur_3_6{sf} was {bf}{res}str445{sf}{txt} now {bf}{res}str1{sf}
  {txt}variable {bf}elecpol_ovrsee_3_6{sf} was {bf}{res}str350{sf}{txt} now {bf}{res}str1{sf}
  {txt}variable {bf}title_elecpol_3_6{sf} was {bf}{res}str88{sf}{txt} now {bf}{res}str1{sf}
  {txt}variable {bf}aptpol_d_3_6{sf} was {bf}{res}str331{sf}{txt} now {bf}{res}str1{sf}
  {txt}variable {bf}title_aptpol_3_6{sf} was {bf}{res}str90{sf}{txt} now {bf}{res}str1{sf}
  {txt}variable {bf}who_aptpol_3_6{sf} was {bf}{res}str47{sf}{txt} now {bf}{res}str1{sf}
  {txt}variable {bf}mostinf_servdel_3_6{sf} was {bf}{res}str255{sf}{txt} now {bf}{res}str1{sf}
  {txt}variable {bf}educ_elecpolbur_3_6{sf} was {bf}{res}str257{sf}{txt} now {bf}{res}str1{sf}
  {txt}variable {bf}educ_apolbur_3_6{sf} was {bf}{res}str259{sf}{txt} now {bf}{res}str1{sf}
  {txt}variable {bf}slry_elecpolbur_3_6{sf} was {bf}{res}str315{sf}{txt} now {bf}{res}str1{sf}
  {txt}variable {bf}slry_apolbur_3_6{sf} was {bf}{res}str317{sf}{txt} now {bf}{res}str1{sf}
  {txt}variable {bf}fdout_epol_bgt_3_6{sf} was {bf}{res}str371{sf}{txt} now {bf}{res}str1{sf}
  {txt}variable {bf}fdout_apol_bgt_3_6{sf} was {bf}{res}str373{sf}{txt} now {bf}{res}str1{sf}
  {txt}variable {bf}budsect_epol_3_6{sf} was {bf}{res}str215{sf}{txt} now {bf}{res}str1{sf}
  {txt}variable {bf}budsect_apol_3_6{sf} was {bf}{res}str217{sf}{txt} now {bf}{res}str1{sf}
  {txt}variable {bf}acinfexp_epol_3_6{sf} was {bf}{res}str215{sf}{txt} now {bf}{res}str1{sf}
  {txt}variable {bf}acinfexp_apol_3_6{sf} was {bf}{res}str217{sf}{txt} now {bf}{res}str1{sf}
  {txt}variable {bf}understand_epol_3_6{sf} was {bf}{res}str213{sf}{txt} now {bf}{res}str1{sf}
  {txt}variable {bf}understand_apol_3_6{sf} was {bf}{res}str215{sf}{txt} now {bf}{res}str1{sf}
  {txt}variable {bf}acttake_epol_3_6{sf} was {bf}{res}str247{sf}{txt} now {bf}{res}str1{sf}
  {txt}variable {bf}acttake_epol_3_6_9_text{sf} was {bf}{res}str261{sf}{txt} now {bf}{res}str1{sf}
  {txt}variable {bf}acttake_apol_3_6{sf} was {bf}{res}str249{sf}{txt} now {bf}{res}str1{sf}
  {txt}variable {bf}acttake_apol_3_6_9_text{sf} was {bf}{res}str263{sf}{txt} now {bf}{res}str1{sf}
  {txt}variable {bf}likely_3_6{sf} was {bf}{res}str159{sf}{txt} now {bf}{res}str1{sf}
  {txt}variable {bf}why_likchan_3_6{sf} was {bf}{res}str12{sf}{txt} now {bf}{res}str1{sf}
  {txt}variable {bf}who_apt_bur_3_6{sf} was {bf}{res}str125{sf}{txt} now {bf}{res}str1{sf}
  {txt}variable {bf}who_apt_bur_3_6_8_text{sf} was {bf}{res}str139{sf}{txt} now {bf}{res}str1{sf}
  {txt}variable {bf}who_fir_bur_3_6{sf} was {bf}{res}str119{sf}{txt} now {bf}{res}str1{sf}
  {txt}variable {bf}who_fir_bur_3_6_8_text{sf} was {bf}{res}str133{sf}{txt} now {bf}{res}str1{sf}
  {txt}variable {bf}ocap_epol_3_6{sf} was {bf}{res}str358{sf}{txt} now {bf}{res}str1{sf}
  {txt}variable {bf}ocap_apol_3_6{sf} was {bf}{res}str360{sf}{txt} now {bf}{res}str1{sf}
  {txt}variable {bf}prio_epol_3_6{sf} was {bf}{res}str209{sf}{txt} now {bf}{res}str1{sf}
  {txt}variable {bf}prio_apol_3_6{sf} was {bf}{res}str211{sf}{txt} now {bf}{res}str1{sf}
  {txt}variable {bf}overall_conf_3_6{sf} was {bf}{res}str190{sf}{txt} now {bf}{res}str1{sf}
  {txt}variable {bf}coup_lgs2{sf} was {bf}{res}str132{sf}{txt} now {bf}{res}str80{sf}
  {txt}variable {bf}confirmation_2_1{sf} was {bf}{res}str1102{sf}{txt} now {bf}{res}str43{sf}
  {txt}variable {bf}confirmation_2_2{sf} was {bf}{res}str1102{sf}{txt} now {bf}{res}str43{sf}
  {txt}variable {bf}additional_lvl_2{sf} was {bf}{res}str166{sf}{txt} now {bf}{res}str3{sf}
  {txt}variable {bf}edit_unit1_d_2{sf} was {bf}{res}str164{sf}{txt} now {bf}{res}str20{sf}
  {txt}variable {bf}edit_unit2_d_2{sf} was {bf}{res}str164{sf}{txt} now {bf}{res}str20{sf}
  {txt}variable {bf}edit_nameunit1_2{sf} was {bf}{res}str108{sf}{txt} now {bf}{res}str1{sf}
  {txt}variable {bf}edit_nameunit2_2{sf} was {bf}{res}str108{sf}{txt} now {bf}{res}str1{sf}
  {txt}variable {bf}edit_nameunit3_2{sf} was {bf}{res}str86{sf}{txt} now {bf}{res}str74{sf}
  {txt}variable {bf}dlvry_mostimp_2{sf} was {bf}{res}str110{sf}{txt} now {bf}{res}str34{sf}
  {txt}variable {bf}addlvl_onlyburo_d_2{sf} was {bf}{res}str116{sf}{txt} now {bf}{res}str2{sf}
  {txt}variable {bf}addlvl_n_onlyburo_2{sf} was {bf}{res}str105{sf}{txt} now {bf}{res}str1{sf}
  {txt}variable {bf}title_bur_2_1{sf} was {bf}{res}str402{sf}{txt} now {bf}{res}str58{sf}
  {txt}variable {bf}elecpol_ovrsee_2_1{sf} was {bf}{res}str320{sf}{txt} now {bf}{res}str3{sf}
  {txt}variable {bf}title_elecpol_2_1{sf} was {bf}{res}str73{sf}{txt} now {bf}{res}str59{sf}
  {txt}variable {bf}aptpol_d_2_1{sf} was {bf}{res}str316{sf}{txt} now {bf}{res}str2{sf}
  {txt}variable {bf}title_aptpol_2_1{sf} was {bf}{res}str75{sf}{txt} now {bf}{res}str1{sf}
  {txt}variable {bf}who_aptpol_2_1{sf} was {bf}{res}str47{sf}{txt} now {bf}{res}str1{sf}
  {txt}variable {bf}mostinf_servdel_2_1{sf} was {bf}{res}str240{sf}{txt} now {bf}{res}str1{sf}
  {txt}variable {bf}educ_elecpolbur_2_1{sf} was {bf}{res}str242{sf}{txt} now {bf}{res}str47{sf}
  {txt}variable {bf}educ_apolbur_2_1{sf} was {bf}{res}str244{sf}{txt} now {bf}{res}str1{sf}
  {txt}variable {bf}slry_elecpolbur_2_1{sf} was {bf}{res}str300{sf}{txt} now {bf}{res}str47{sf}
  {txt}variable {bf}slry_apolbur_2_1{sf} was {bf}{res}str302{sf}{txt} now {bf}{res}str1{sf}
  {txt}variable {bf}fdout_epol_bgt_2_1{sf} was {bf}{res}str341{sf}{txt} now {bf}{res}str19{sf}
  {txt}variable {bf}fdout_apol_bgt_2_1{sf} was {bf}{res}str343{sf}{txt} now {bf}{res}str1{sf}
  {txt}variable {bf}budsect_epol_2_1{sf} was {bf}{res}str200{sf}{txt} now {bf}{res}str19{sf}
  {txt}variable {bf}budsect_apol_2_1{sf} was {bf}{res}str202{sf}{txt} now {bf}{res}str1{sf}
  {txt}variable {bf}acinfexp_epol_2_1{sf} was {bf}{res}str200{sf}{txt} now {bf}{res}str19{sf}
  {txt}variable {bf}acinfexp_apol_2_1{sf} was {bf}{res}str202{sf}{txt} now {bf}{res}str1{sf}
  {txt}variable {bf}understand_epol_2_1{sf} was {bf}{res}str198{sf}{txt} now {bf}{res}str21{sf}
  {txt}variable {bf}understand_apol_2_1{sf} was {bf}{res}str200{sf}{txt} now {bf}{res}str21{sf}
  {txt}variable {bf}acttake_epol_2_1{sf} was {bf}{res}str247{sf}{txt} now {bf}{res}str34{sf}
  {txt}variable {bf}acttake_epol_2_1_9_text{sf} was {bf}{res}str261{sf}{txt} now {bf}{res}str63{sf}
  {txt}variable {bf}acttake_apol_2_1{sf} was {bf}{res}str248{sf}{txt} now {bf}{res}str1{sf}
  {txt}variable {bf}acttake_apol_2_1_9_text{sf} was {bf}{res}str262{sf}{txt} now {bf}{res}str1{sf}
  {txt}variable {bf}likely_2_1{sf} was {bf}{res}str143{sf}{txt} now {bf}{res}str18{sf}
  {txt}variable {bf}who_apt_bur_2_1{sf} was {bf}{res}str110{sf}{txt} now {bf}{res}str22{sf}
  {txt}variable {bf}who_fir_bur_2_1{sf} was {bf}{res}str105{sf}{txt} now {bf}{res}str52{sf}
  {txt}variable {bf}who_fir_bur_2_1_8_text{sf} was {bf}{res}str119{sf}{txt} now {bf}{res}str9{sf}
  {txt}variable {bf}ocap_epol_2_1{sf} was {bf}{res}str343{sf}{txt} now {bf}{res}str55{sf}
  {txt}variable {bf}ocap_apol_2_1{sf} was {bf}{res}str345{sf}{txt} now {bf}{res}str1{sf}
  {txt}variable {bf}prio_epol_2_1{sf} was {bf}{res}str209{sf}{txt} now {bf}{res}str25{sf}
  {txt}variable {bf}prio_apol_2_1{sf} was {bf}{res}str211{sf}{txt} now {bf}{res}str1{sf}
  {txt}variable {bf}overall_conf_2_1{sf} was {bf}{res}str175{sf}{txt} now {bf}{res}str14{sf}
  {txt}variable {bf}title_bur_2_2{sf} was {bf}{res}str402{sf}{txt} now {bf}{res}str47{sf}
  {txt}variable {bf}elecpol_ovrsee_2_2{sf} was {bf}{res}str320{sf}{txt} now {bf}{res}str3{sf}
  {txt}variable {bf}title_elecpol_2_2{sf} was {bf}{res}str73{sf}{txt} now {bf}{res}str58{sf}
  {txt}variable {bf}aptpol_d_2_2{sf} was {bf}{res}str316{sf}{txt} now {bf}{res}str3{sf}
  {txt}variable {bf}title_aptpol_2_2{sf} was {bf}{res}str75{sf}{txt} now {bf}{res}str33{sf}
  {txt}variable {bf}mostinf_servdel_2_2{sf} was {bf}{res}str240{sf}{txt} now {bf}{res}str44{sf}
  {txt}variable {bf}educ_elecpolbur_2_2{sf} was {bf}{res}str242{sf}{txt} now {bf}{res}str47{sf}
  {txt}variable {bf}educ_apolbur_2_2{sf} was {bf}{res}str244{sf}{txt} now {bf}{res}str1{sf}
  {txt}variable {bf}slry_elecpolbur_2_2{sf} was {bf}{res}str300{sf}{txt} now {bf}{res}str43{sf}
  {txt}variable {bf}slry_apolbur_2_2{sf} was {bf}{res}str302{sf}{txt} now {bf}{res}str1{sf}
  {txt}variable {bf}fdout_epol_bgt_2_2{sf} was {bf}{res}str341{sf}{txt} now {bf}{res}str19{sf}
  {txt}variable {bf}fdout_apol_bgt_2_2{sf} was {bf}{res}str343{sf}{txt} now {bf}{res}str1{sf}
  {txt}variable {bf}budsect_epol_2_2{sf} was {bf}{res}str200{sf}{txt} now {bf}{res}str15{sf}
  {txt}variable {bf}budsect_apol_2_2{sf} was {bf}{res}str202{sf}{txt} now {bf}{res}str1{sf}
  {txt}variable {bf}acinfexp_epol_2_2{sf} was {bf}{res}str200{sf}{txt} now {bf}{res}str19{sf}
  {txt}variable {bf}acinfexp_apol_2_2{sf} was {bf}{res}str202{sf}{txt} now {bf}{res}str1{sf}
  {txt}variable {bf}understand_epol_2_2{sf} was {bf}{res}str198{sf}{txt} now {bf}{res}str21{sf}
  {txt}variable {bf}understand_apol_2_2{sf} was {bf}{res}str200{sf}{txt} now {bf}{res}str1{sf}
  {txt}variable {bf}acttake_epol_2_2{sf} was {bf}{res}str247{sf}{txt} now {bf}{res}str123{sf}
  {txt}variable {bf}acttake_epol_2_2_9_text{sf} was {bf}{res}str261{sf}{txt} now {bf}{res}str18{sf}
  {txt}variable {bf}acttake_apol_2_2{sf} was {bf}{res}str248{sf}{txt} now {bf}{res}str1{sf}
  {txt}variable {bf}acttake_apol_2_2_9_text{sf} was {bf}{res}str262{sf}{txt} now {bf}{res}str1{sf}
  {txt}variable {bf}likely_2_2{sf} was {bf}{res}str144{sf}{txt} now {bf}{res}str13{sf}
  {txt}variable {bf}who_apt_bur_2_2{sf} was {bf}{res}str110{sf}{txt} now {bf}{res}str22{sf}
  {txt}variable {bf}who_fir_bur_2_2{sf} was {bf}{res}str105{sf}{txt} now {bf}{res}str64{sf}
  {txt}variable {bf}who_fir_bur_2_2_8_text{sf} was {bf}{res}str119{sf}{txt} now {bf}{res}str77{sf}
  {txt}variable {bf}ocap_epol_2_2{sf} was {bf}{res}str343{sf}{txt} now {bf}{res}str55{sf}
  {txt}variable {bf}ocap_apol_2_2{sf} was {bf}{res}str345{sf}{txt} now {bf}{res}str1{sf}
  {txt}variable {bf}prio_epol_2_2{sf} was {bf}{res}str209{sf}{txt} now {bf}{res}str25{sf}
  {txt}variable {bf}prio_apol_2_2{sf} was {bf}{res}str211{sf}{txt} now {bf}{res}str1{sf}
  {txt}variable {bf}overall_conf_2_2{sf} was {bf}{res}str175{sf}{txt} now {bf}{res}str14{sf}
  {txt}variable {bf}title_bur_2_4{sf} was {bf}{res}str448{sf}{txt} now {bf}{res}str1{sf}
  {txt}variable {bf}elecpol_ovrsee_2_4{sf} was {bf}{res}str352{sf}{txt} now {bf}{res}str1{sf}
  {txt}variable {bf}title_elecpol_2_4{sf} was {bf}{res}str89{sf}{txt} now {bf}{res}str1{sf}
  {txt}variable {bf}aptpol_d_2_4{sf} was {bf}{res}str332{sf}{txt} now {bf}{res}str1{sf}
  {txt}variable {bf}title_aptpol_2_4{sf} was {bf}{res}str91{sf}{txt} now {bf}{res}str1{sf}
  {txt}variable {bf}who_aptpol_2_4{sf} was {bf}{res}str47{sf}{txt} now {bf}{res}str1{sf}
  {txt}variable {bf}mostinf_servdel_2_4{sf} was {bf}{res}str256{sf}{txt} now {bf}{res}str1{sf}
  {txt}variable {bf}educ_elecpolbur_2_4{sf} was {bf}{res}str258{sf}{txt} now {bf}{res}str1{sf}
  {txt}variable {bf}educ_apolbur_2_4{sf} was {bf}{res}str260{sf}{txt} now {bf}{res}str1{sf}
  {txt}variable {bf}slry_elecpolbur_2_4{sf} was {bf}{res}str316{sf}{txt} now {bf}{res}str1{sf}
  {txt}variable {bf}slry_apolbur_2_4{sf} was {bf}{res}str318{sf}{txt} now {bf}{res}str1{sf}
  {txt}variable {bf}fdout_epol_bgt_2_4{sf} was {bf}{res}str373{sf}{txt} now {bf}{res}str1{sf}
  {txt}variable {bf}fdout_apol_bgt_2_4{sf} was {bf}{res}str375{sf}{txt} now {bf}{res}str1{sf}
  {txt}variable {bf}budsect_epol_2_4{sf} was {bf}{res}str216{sf}{txt} now {bf}{res}str1{sf}
  {txt}variable {bf}budsect_apol_2_4{sf} was {bf}{res}str218{sf}{txt} now {bf}{res}str1{sf}
  {txt}variable {bf}acinfexp_epol_2_4{sf} was {bf}{res}str216{sf}{txt} now {bf}{res}str1{sf}
  {txt}variable {bf}acinfexp_apol_2_4{sf} was {bf}{res}str218{sf}{txt} now {bf}{res}str1{sf}
  {txt}variable {bf}understand_epol_2_4{sf} was {bf}{res}str214{sf}{txt} now {bf}{res}str1{sf}
  {txt}variable {bf}understand_apol_2_4{sf} was {bf}{res}str216{sf}{txt} now {bf}{res}str1{sf}
  {txt}variable {bf}acttake_epol_2_4{sf} was {bf}{res}str247{sf}{txt} now {bf}{res}str1{sf}
  {txt}variable {bf}acttake_epol_2_4_9_text{sf} was {bf}{res}str261{sf}{txt} now {bf}{res}str1{sf}
  {txt}variable {bf}acttake_apol_2_4{sf} was {bf}{res}str249{sf}{txt} now {bf}{res}str1{sf}
  {txt}variable {bf}acttake_apol_2_4_9_text{sf} was {bf}{res}str263{sf}{txt} now {bf}{res}str1{sf}
  {txt}variable {bf}likely_2_4{sf} was {bf}{res}str159{sf}{txt} now {bf}{res}str1{sf}
  {txt}variable {bf}why_likchan_2_4{sf} was {bf}{res}str12{sf}{txt} now {bf}{res}str1{sf}
  {txt}variable {bf}who_apt_bur_2_4{sf} was {bf}{res}str126{sf}{txt} now {bf}{res}str1{sf}
  {txt}variable {bf}who_apt_bur_2_4_8_text{sf} was {bf}{res}str140{sf}{txt} now {bf}{res}str1{sf}
  {txt}variable {bf}who_fir_bur_2_4{sf} was {bf}{res}str120{sf}{txt} now {bf}{res}str1{sf}
  {txt}variable {bf}who_fir_bur_2_4_8_text{sf} was {bf}{res}str134{sf}{txt} now {bf}{res}str1{sf}
  {txt}variable {bf}ocap_epol_2_4{sf} was {bf}{res}str359{sf}{txt} now {bf}{res}str1{sf}
  {txt}variable {bf}ocap_apol_2_4{sf} was {bf}{res}str361{sf}{txt} now {bf}{res}str1{sf}
  {txt}variable {bf}prio_epol_2_4{sf} was {bf}{res}str209{sf}{txt} now {bf}{res}str1{sf}
  {txt}variable {bf}prio_apol_2_4{sf} was {bf}{res}str211{sf}{txt} now {bf}{res}str1{sf}
  {txt}variable {bf}overall_conf_2_4{sf} was {bf}{res}str191{sf}{txt} now {bf}{res}str1{sf}
  {txt}variable {bf}title_bur_2_5{sf} was {bf}{res}str448{sf}{txt} now {bf}{res}str1{sf}
  {txt}variable {bf}elecpol_ovrsee_2_5{sf} was {bf}{res}str352{sf}{txt} now {bf}{res}str1{sf}
  {txt}variable {bf}title_elecpol_2_5{sf} was {bf}{res}str89{sf}{txt} now {bf}{res}str1{sf}
  {txt}variable {bf}aptpol_d_2_5{sf} was {bf}{res}str332{sf}{txt} now {bf}{res}str1{sf}
  {txt}variable {bf}title_aptpol_2_5{sf} was {bf}{res}str91{sf}{txt} now {bf}{res}str1{sf}
  {txt}variable {bf}who_aptpol_2_5{sf} was {bf}{res}str47{sf}{txt} now {bf}{res}str1{sf}
  {txt}variable {bf}mostinf_servdel_2_5{sf} was {bf}{res}str256{sf}{txt} now {bf}{res}str1{sf}
  {txt}variable {bf}educ_elecpolbur_2_5{sf} was {bf}{res}str258{sf}{txt} now {bf}{res}str1{sf}
  {txt}variable {bf}educ_apolbur_2_5{sf} was {bf}{res}str260{sf}{txt} now {bf}{res}str1{sf}
  {txt}variable {bf}slry_elecpolbur_2_5{sf} was {bf}{res}str316{sf}{txt} now {bf}{res}str1{sf}
  {txt}variable {bf}slry_apolbur_2_5{sf} was {bf}{res}str318{sf}{txt} now {bf}{res}str1{sf}
  {txt}variable {bf}fdout_epol_bgt_2_5{sf} was {bf}{res}str373{sf}{txt} now {bf}{res}str1{sf}
  {txt}variable {bf}fdout_apol_bgt_2_5{sf} was {bf}{res}str375{sf}{txt} now {bf}{res}str1{sf}
  {txt}variable {bf}budsect_epol_2_5{sf} was {bf}{res}str217{sf}{txt} now {bf}{res}str1{sf}
  {txt}variable {bf}budsect_apol_2_5{sf} was {bf}{res}str219{sf}{txt} now {bf}{res}str1{sf}
  {txt}variable {bf}acinfexp_epol_2_5{sf} was {bf}{res}str216{sf}{txt} now {bf}{res}str1{sf}
  {txt}variable {bf}acinfexp_apol_2_5{sf} was {bf}{res}str218{sf}{txt} now {bf}{res}str1{sf}
  {txt}variable {bf}understand_epol_2_5{sf} was {bf}{res}str214{sf}{txt} now {bf}{res}str1{sf}
  {txt}variable {bf}understand_apol_2_5{sf} was {bf}{res}str216{sf}{txt} now {bf}{res}str1{sf}
  {txt}variable {bf}acttake_epol_2_5{sf} was {bf}{res}str247{sf}{txt} now {bf}{res}str1{sf}
  {txt}variable {bf}acttake_epol_2_5_9_text{sf} was {bf}{res}str261{sf}{txt} now {bf}{res}str1{sf}
  {txt}variable {bf}acttake_apol_2_5{sf} was {bf}{res}str249{sf}{txt} now {bf}{res}str1{sf}
  {txt}variable {bf}acttake_apol_2_5_9_text{sf} was {bf}{res}str263{sf}{txt} now {bf}{res}str1{sf}
  {txt}variable {bf}likely_2_5{sf} was {bf}{res}str159{sf}{txt} now {bf}{res}str1{sf}
  {txt}variable {bf}why_likchan_2_5{sf} was {bf}{res}str12{sf}{txt} now {bf}{res}str1{sf}
  {txt}variable {bf}who_apt_bur_2_5{sf} was {bf}{res}str126{sf}{txt} now {bf}{res}str1{sf}
  {txt}variable {bf}who_apt_bur_2_5_8_text{sf} was {bf}{res}str140{sf}{txt} now {bf}{res}str1{sf}
  {txt}variable {bf}who_fir_bur_2_5{sf} was {bf}{res}str120{sf}{txt} now {bf}{res}str1{sf}
  {txt}variable {bf}who_fir_bur_2_5_8_text{sf} was {bf}{res}str134{sf}{txt} now {bf}{res}str1{sf}
  {txt}variable {bf}ocap_epol_2_5{sf} was {bf}{res}str359{sf}{txt} now {bf}{res}str1{sf}
  {txt}variable {bf}ocap_apol_2_5{sf} was {bf}{res}str361{sf}{txt} now {bf}{res}str1{sf}
  {txt}variable {bf}prio_epol_2_5{sf} was {bf}{res}str209{sf}{txt} now {bf}{res}str1{sf}
  {txt}variable {bf}prio_apol_2_5{sf} was {bf}{res}str211{sf}{txt} now {bf}{res}str1{sf}
  {txt}variable {bf}overall_conf_2_5{sf} was {bf}{res}str191{sf}{txt} now {bf}{res}str1{sf}
  {txt}variable {bf}title_bur_2_6{sf} was {bf}{res}str448{sf}{txt} now {bf}{res}str40{sf}
  {txt}variable {bf}elecpol_ovrsee_2_6{sf} was {bf}{res}str352{sf}{txt} now {bf}{res}str2{sf}
  {txt}variable {bf}title_elecpol_2_6{sf} was {bf}{res}str312{sf}{txt} now {bf}{res}str1{sf}
  {txt}variable {bf}aptpol_d_2_6{sf} was {bf}{res}str109{sf}{txt} now {bf}{res}str2{sf}
  {txt}variable {bf}title_aptpol_2_6{sf} was {bf}{res}str91{sf}{txt} now {bf}{res}str1{sf}
  {txt}variable {bf}who_aptpol_2_6{sf} was {bf}{res}str47{sf}{txt} now {bf}{res}str1{sf}
  {txt}variable {bf}mostinf_servdel_2_6{sf} was {bf}{res}str256{sf}{txt} now {bf}{res}str1{sf}
  {txt}variable {bf}educ_elecpolbur_2_6{sf} was {bf}{res}str258{sf}{txt} now {bf}{res}str1{sf}
  {txt}variable {bf}educ_apolbur_2_6{sf} was {bf}{res}str260{sf}{txt} now {bf}{res}str1{sf}
  {txt}variable {bf}slry_elecpolbur_2_6{sf} was {bf}{res}str316{sf}{txt} now {bf}{res}str1{sf}
  {txt}variable {bf}slry_apolbur_2_6{sf} was {bf}{res}str318{sf}{txt} now {bf}{res}str1{sf}
  {txt}variable {bf}fdout_epol_bgt_2_6{sf} was {bf}{res}str373{sf}{txt} now {bf}{res}str1{sf}
  {txt}variable {bf}fdout_apol_bgt_2_6{sf} was {bf}{res}str375{sf}{txt} now {bf}{res}str1{sf}
  {txt}variable {bf}budsect_epol_2_6{sf} was {bf}{res}str217{sf}{txt} now {bf}{res}str1{sf}
  {txt}variable {bf}budsect_apol_2_6{sf} was {bf}{res}str219{sf}{txt} now {bf}{res}str1{sf}
  {txt}variable {bf}acinfexp_epol_2_6{sf} was {bf}{res}str216{sf}{txt} now {bf}{res}str1{sf}
  {txt}variable {bf}acinfexp_apol_2_6{sf} was {bf}{res}str218{sf}{txt} now {bf}{res}str1{sf}
  {txt}variable {bf}understand_epol_2_6{sf} was {bf}{res}str214{sf}{txt} now {bf}{res}str1{sf}
  {txt}variable {bf}understand_apol_2_6{sf} was {bf}{res}str216{sf}{txt} now {bf}{res}str1{sf}
  {txt}variable {bf}acttake_epol_2_6{sf} was {bf}{res}str247{sf}{txt} now {bf}{res}str1{sf}
  {txt}variable {bf}acttake_epol_2_6_9_text{sf} was {bf}{res}str261{sf}{txt} now {bf}{res}str1{sf}
  {txt}variable {bf}acttake_apol_2_6{sf} was {bf}{res}str249{sf}{txt} now {bf}{res}str1{sf}
  {txt}variable {bf}acttake_apol_2_6_9_text{sf} was {bf}{res}str263{sf}{txt} now {bf}{res}str1{sf}
  {txt}variable {bf}likely_2_6{sf} was {bf}{res}str159{sf}{txt} now {bf}{res}str1{sf}
  {txt}variable {bf}why_likchan_2_6{sf} was {bf}{res}str12{sf}{txt} now {bf}{res}str1{sf}
  {txt}variable {bf}who_apt_bur_2_6{sf} was {bf}{res}str126{sf}{txt} now {bf}{res}str1{sf}
  {txt}variable {bf}who_apt_bur_2_6_8_text{sf} was {bf}{res}str140{sf}{txt} now {bf}{res}str1{sf}
  {txt}variable {bf}who_fir_bur_2_6{sf} was {bf}{res}str120{sf}{txt} now {bf}{res}str1{sf}
  {txt}variable {bf}who_fir_bur_2_6_8_text{sf} was {bf}{res}str134{sf}{txt} now {bf}{res}str1{sf}
  {txt}variable {bf}ocap_epol_2_6{sf} was {bf}{res}str359{sf}{txt} now {bf}{res}str1{sf}
  {txt}variable {bf}ocap_apol_2_6{sf} was {bf}{res}str361{sf}{txt} now {bf}{res}str1{sf}
  {txt}variable {bf}prio_epol_2_6{sf} was {bf}{res}str209{sf}{txt} now {bf}{res}str1{sf}
  {txt}variable {bf}prio_apol_2_6{sf} was {bf}{res}str211{sf}{txt} now {bf}{res}str1{sf}
  {txt}variable {bf}overall_conf_2_6{sf} was {bf}{res}str191{sf}{txt} now {bf}{res}str1{sf}
  {txt}variable {bf}coup_lgs1{sf} was {bf}{res}str132{sf}{txt} now {bf}{res}str1{sf}
  {txt}variable {bf}confirmation_1_1{sf} was {bf}{res}str1148{sf}{txt} now {bf}{res}str21{sf}
  {txt}variable {bf}additional_lvl_1{sf} was {bf}{res}str169{sf}{txt} now {bf}{res}str2{sf}
  {txt}variable {bf}edit_unit1_d_1{sf} was {bf}{res}str164{sf}{txt} now {bf}{res}str1{sf}
  {txt}variable {bf}edit_nameunit1_1{sf} was {bf}{res}str108{sf}{txt} now {bf}{res}str1{sf}
  {txt}variable {bf}edit_nameunit2_1{sf} was {bf}{res}str92{sf}{txt} now {bf}{res}str1{sf}
  {txt}variable {bf}edit_nameunit3_1{sf} was {bf}{res}str93{sf}{txt} now {bf}{res}str1{sf}
  {txt}variable {bf}dlvry_mostimp_1{sf} was {bf}{res}str110{sf}{txt} now {bf}{res}str18{sf}
  {txt}variable {bf}addlvl_onlyburo_d_1{sf} was {bf}{res}str116{sf}{txt} now {bf}{res}str2{sf}
  {txt}variable {bf}addlvl_n_onlyburo_1{sf} was {bf}{res}str105{sf}{txt} now {bf}{res}str1{sf}
  {txt}variable {bf}title_bur_1_1{sf} was {bf}{res}str402{sf}{txt} now {bf}{res}str83{sf}
  {txt}variable {bf}elecpol_ovrsee_1_1{sf} was {bf}{res}str320{sf}{txt} now {bf}{res}str3{sf}
  {txt}variable {bf}aptpol_d_1_1{sf} was {bf}{res}str316{sf}{txt} now {bf}{res}str2{sf}
  {txt}variable {bf}title_aptpol_1_1{sf} was {bf}{res}str75{sf}{txt} now {bf}{res}str1{sf}
  {txt}variable {bf}who_aptpol_1_1{sf} was {bf}{res}str47{sf}{txt} now {bf}{res}str1{sf}
  {txt}variable {bf}mostinf_servdel_1_1{sf} was {bf}{res}str240{sf}{txt} now {bf}{res}str1{sf}
  {txt}variable {bf}educ_elecpolbur_1_1{sf} was {bf}{res}str242{sf}{txt} now {bf}{res}str47{sf}
  {txt}variable {bf}educ_apolbur_1_1{sf} was {bf}{res}str244{sf}{txt} now {bf}{res}str1{sf}
  {txt}variable {bf}slry_elecpolbur_1_1{sf} was {bf}{res}str300{sf}{txt} now {bf}{res}str43{sf}
  {txt}variable {bf}slry_apolbur_1_1{sf} was {bf}{res}str302{sf}{txt} now {bf}{res}str1{sf}
  {txt}variable {bf}fdout_epol_bgt_1_1{sf} was {bf}{res}str341{sf}{txt} now {bf}{res}str9{sf}
  {txt}variable {bf}fdout_apol_bgt_1_1{sf} was {bf}{res}str343{sf}{txt} now {bf}{res}str1{sf}
  {txt}variable {bf}budsect_epol_1_1{sf} was {bf}{res}str200{sf}{txt} now {bf}{res}str10{sf}
  {txt}variable {bf}budsect_apol_1_1{sf} was {bf}{res}str202{sf}{txt} now {bf}{res}str1{sf}
  {txt}variable {bf}acinfexp_epol_1_1{sf} was {bf}{res}str200{sf}{txt} now {bf}{res}str9{sf}
  {txt}variable {bf}acinfexp_apol_1_1{sf} was {bf}{res}str202{sf}{txt} now {bf}{res}str1{sf}
  {txt}variable {bf}understand_epol_1_1{sf} was {bf}{res}str198{sf}{txt} now {bf}{res}str17{sf}
  {txt}variable {bf}understand_apol_1_1{sf} was {bf}{res}str200{sf}{txt} now {bf}{res}str1{sf}
  {txt}variable {bf}acttake_epol_1_1{sf} was {bf}{res}str247{sf}{txt} now {bf}{res}str22{sf}
  {txt}variable {bf}acttake_epol_1_1_9_text{sf} was {bf}{res}str261{sf}{txt} now {bf}{res}str1{sf}
  {txt}variable {bf}acttake_apol_1_1{sf} was {bf}{res}str250{sf}{txt} now {bf}{res}str1{sf}
  {txt}variable {bf}acttake_apol_1_1_9_text{sf} was {bf}{res}str264{sf}{txt} now {bf}{res}str1{sf}
  {txt}variable {bf}likely_1_1{sf} was {bf}{res}str143{sf}{txt} now {bf}{res}str16{sf}
  {txt}variable {bf}who_apt_bur_1_1{sf} was {bf}{res}str110{sf}{txt} now {bf}{res}str43{sf}
  {txt}variable {bf}who_apt_bur_1_1_8_text{sf} was {bf}{res}str124{sf}{txt} now {bf}{res}str1{sf}
  {txt}variable {bf}who_fir_bur_1_1{sf} was {bf}{res}str105{sf}{txt} now {bf}{res}str43{sf}
  {txt}variable {bf}who_fir_bur_1_1_8_text{sf} was {bf}{res}str119{sf}{txt} now {bf}{res}str1{sf}
  {txt}variable {bf}ocap_epol_1_1{sf} was {bf}{res}str343{sf}{txt} now {bf}{res}str46{sf}
  {txt}variable {bf}ocap_apol_1_1{sf} was {bf}{res}str345{sf}{txt} now {bf}{res}str1{sf}
  {txt}variable {bf}prio_epol_1_1{sf} was {bf}{res}str209{sf}{txt} now {bf}{res}str25{sf}
  {txt}variable {bf}prio_apol_1_1{sf} was {bf}{res}str211{sf}{txt} now {bf}{res}str1{sf}
  {txt}variable {bf}overall_conf_1_1{sf} was {bf}{res}str175{sf}{txt} now {bf}{res}str14{sf}
  {txt}variable {bf}title_bur_1_4{sf} was {bf}{res}str448{sf}{txt} now {bf}{res}str1{sf}
  {txt}variable {bf}elecpol_ovrsee_1_4{sf} was {bf}{res}str352{sf}{txt} now {bf}{res}str1{sf}
  {txt}variable {bf}title_elecpol_1_4{sf} was {bf}{res}str89{sf}{txt} now {bf}{res}str1{sf}
  {txt}variable {bf}aptpol_d_1_4{sf} was {bf}{res}str332{sf}{txt} now {bf}{res}str1{sf}
  {txt}variable {bf}title_aptpol_1_4{sf} was {bf}{res}str91{sf}{txt} now {bf}{res}str1{sf}
  {txt}variable {bf}who_aptpol_1_4{sf} was {bf}{res}str47{sf}{txt} now {bf}{res}str1{sf}
  {txt}variable {bf}mostinf_servdel_1_4{sf} was {bf}{res}str256{sf}{txt} now {bf}{res}str1{sf}
  {txt}variable {bf}educ_elecpolbur_1_4{sf} was {bf}{res}str258{sf}{txt} now {bf}{res}str1{sf}
  {txt}variable {bf}educ_apolbur_1_4{sf} was {bf}{res}str260{sf}{txt} now {bf}{res}str1{sf}
  {txt}variable {bf}slry_elecpolbur_1_4{sf} was {bf}{res}str316{sf}{txt} now {bf}{res}str1{sf}
  {txt}variable {bf}slry_apolbur_1_4{sf} was {bf}{res}str318{sf}{txt} now {bf}{res}str1{sf}
  {txt}variable {bf}fdout_epol_bgt_1_4{sf} was {bf}{res}str373{sf}{txt} now {bf}{res}str1{sf}
  {txt}variable {bf}fdout_apol_bgt_1_4{sf} was {bf}{res}str375{sf}{txt} now {bf}{res}str1{sf}
  {txt}variable {bf}budsect_epol_1_4{sf} was {bf}{res}str216{sf}{txt} now {bf}{res}str1{sf}
  {txt}variable {bf}budsect_apol_1_4{sf} was {bf}{res}str218{sf}{txt} now {bf}{res}str1{sf}
  {txt}variable {bf}acinfexp_epol_1_4{sf} was {bf}{res}str216{sf}{txt} now {bf}{res}str1{sf}
  {txt}variable {bf}acinfexp_apol_1_4{sf} was {bf}{res}str218{sf}{txt} now {bf}{res}str1{sf}
  {txt}variable {bf}understand_epol_1_4{sf} was {bf}{res}str214{sf}{txt} now {bf}{res}str1{sf}
  {txt}variable {bf}understand_apol_1_4{sf} was {bf}{res}str216{sf}{txt} now {bf}{res}str1{sf}
  {txt}variable {bf}acttake_epol_1_4{sf} was {bf}{res}str246{sf}{txt} now {bf}{res}str1{sf}
  {txt}variable {bf}acttake_epol_1_4_9_text{sf} was {bf}{res}str260{sf}{txt} now {bf}{res}str1{sf}
  {txt}variable {bf}acttake_apol_1_4{sf} was {bf}{res}str249{sf}{txt} now {bf}{res}str1{sf}
  {txt}variable {bf}acttake_apol_1_4_9_text{sf} was {bf}{res}str263{sf}{txt} now {bf}{res}str1{sf}
  {txt}variable {bf}likely_1_4{sf} was {bf}{res}str159{sf}{txt} now {bf}{res}str1{sf}
  {txt}variable {bf}why_likchan_1_4{sf} was {bf}{res}str12{sf}{txt} now {bf}{res}str1{sf}
  {txt}variable {bf}who_apt_bur_1_4{sf} was {bf}{res}str126{sf}{txt} now {bf}{res}str1{sf}
  {txt}variable {bf}who_apt_bur_1_4_8_text{sf} was {bf}{res}str140{sf}{txt} now {bf}{res}str1{sf}
  {txt}variable {bf}who_fir_bur_1_4{sf} was {bf}{res}str120{sf}{txt} now {bf}{res}str1{sf}
  {txt}variable {bf}who_fir_bur_1_4_8_text{sf} was {bf}{res}str134{sf}{txt} now {bf}{res}str1{sf}
  {txt}variable {bf}ocap_epol_1_4{sf} was {bf}{res}str359{sf}{txt} now {bf}{res}str1{sf}
  {txt}variable {bf}ocap_apol_1_4{sf} was {bf}{res}str361{sf}{txt} now {bf}{res}str1{sf}
  {txt}variable {bf}prio_epol_1_4{sf} was {bf}{res}str209{sf}{txt} now {bf}{res}str1{sf}
  {txt}variable {bf}prio_apol_1_4{sf} was {bf}{res}str211{sf}{txt} now {bf}{res}str1{sf}
  {txt}variable {bf}overall_conf_1_4{sf} was {bf}{res}str191{sf}{txt} now {bf}{res}str1{sf}
  {txt}variable {bf}title_bur_1_5{sf} was {bf}{res}str448{sf}{txt} now {bf}{res}str1{sf}
  {txt}variable {bf}elecpol_ovrsee_1_5{sf} was {bf}{res}str352{sf}{txt} now {bf}{res}str1{sf}
  {txt}variable {bf}title_elecpol_1_5{sf} was {bf}{res}str89{sf}{txt} now {bf}{res}str1{sf}
  {txt}variable {bf}aptpol_d_1_5{sf} was {bf}{res}str332{sf}{txt} now {bf}{res}str1{sf}
  {txt}variable {bf}title_aptpol_1_5{sf} was {bf}{res}str91{sf}{txt} now {bf}{res}str1{sf}
  {txt}variable {bf}who_aptpol_1_5{sf} was {bf}{res}str47{sf}{txt} now {bf}{res}str1{sf}
  {txt}variable {bf}mostinf_servdel_1_5{sf} was {bf}{res}str256{sf}{txt} now {bf}{res}str1{sf}
  {txt}variable {bf}educ_elecpolbur_1_5{sf} was {bf}{res}str258{sf}{txt} now {bf}{res}str1{sf}
  {txt}variable {bf}educ_apolbur_1_5{sf} was {bf}{res}str260{sf}{txt} now {bf}{res}str1{sf}
  {txt}variable {bf}slry_elecpolbur_1_5{sf} was {bf}{res}str316{sf}{txt} now {bf}{res}str1{sf}
  {txt}variable {bf}slry_apolbur_1_5{sf} was {bf}{res}str318{sf}{txt} now {bf}{res}str1{sf}
  {txt}variable {bf}fdout_epol_bgt_1_5{sf} was {bf}{res}str373{sf}{txt} now {bf}{res}str1{sf}
  {txt}variable {bf}fdout_apol_bgt_1_5{sf} was {bf}{res}str375{sf}{txt} now {bf}{res}str1{sf}
  {txt}variable {bf}budsect_epol_1_5{sf} was {bf}{res}str216{sf}{txt} now {bf}{res}str1{sf}
  {txt}variable {bf}budsect_apol_1_5{sf} was {bf}{res}str218{sf}{txt} now {bf}{res}str1{sf}
  {txt}variable {bf}acinfexp_epol_1_5{sf} was {bf}{res}str216{sf}{txt} now {bf}{res}str1{sf}
  {txt}variable {bf}acinfexp_apol_1_5{sf} was {bf}{res}str218{sf}{txt} now {bf}{res}str1{sf}
  {txt}variable {bf}understand_epol_1_5{sf} was {bf}{res}str214{sf}{txt} now {bf}{res}str1{sf}
  {txt}variable {bf}understand_apol_1_5{sf} was {bf}{res}str216{sf}{txt} now {bf}{res}str1{sf}
  {txt}variable {bf}acttake_epol_1_5{sf} was {bf}{res}str247{sf}{txt} now {bf}{res}str1{sf}
  {txt}variable {bf}acttake_epol_1_5_9_text{sf} was {bf}{res}str261{sf}{txt} now {bf}{res}str1{sf}
  {txt}variable {bf}acttake_apol_1_5{sf} was {bf}{res}str249{sf}{txt} now {bf}{res}str1{sf}
  {txt}variable {bf}acttake_apol_1_5_9_text{sf} was {bf}{res}str263{sf}{txt} now {bf}{res}str1{sf}
  {txt}variable {bf}likely_1_5{sf} was {bf}{res}str159{sf}{txt} now {bf}{res}str1{sf}
  {txt}variable {bf}why_likchan_1_5{sf} was {bf}{res}str12{sf}{txt} now {bf}{res}str1{sf}
  {txt}variable {bf}who_apt_bur_1_5{sf} was {bf}{res}str126{sf}{txt} now {bf}{res}str1{sf}
  {txt}variable {bf}who_apt_bur_1_5_8_text{sf} was {bf}{res}str140{sf}{txt} now {bf}{res}str1{sf}
  {txt}variable {bf}who_fir_bur_1_5{sf} was {bf}{res}str120{sf}{txt} now {bf}{res}str1{sf}
  {txt}variable {bf}who_fir_bur_1_5_8_text{sf} was {bf}{res}str134{sf}{txt} now {bf}{res}str1{sf}
  {txt}variable {bf}ocap_epol_1_5{sf} was {bf}{res}str359{sf}{txt} now {bf}{res}str1{sf}
  {txt}variable {bf}ocap_apol_1_5{sf} was {bf}{res}str361{sf}{txt} now {bf}{res}str1{sf}
  {txt}variable {bf}prio_epol_1_5{sf} was {bf}{res}str209{sf}{txt} now {bf}{res}str1{sf}
  {txt}variable {bf}prio_apol_1_5{sf} was {bf}{res}str211{sf}{txt} now {bf}{res}str1{sf}
  {txt}variable {bf}overall_conf_1_5{sf} was {bf}{res}str191{sf}{txt} now {bf}{res}str1{sf}
  {txt}variable {bf}title_bur_1_6{sf} was {bf}{res}str448{sf}{txt} now {bf}{res}str1{sf}
  {txt}variable {bf}elecpol_ovrsee_1_6{sf} was {bf}{res}str352{sf}{txt} now {bf}{res}str1{sf}
  {txt}variable {bf}title_elecpol_1_6{sf} was {bf}{res}str89{sf}{txt} now {bf}{res}str1{sf}
  {txt}variable {bf}aptpol_d_1_6{sf} was {bf}{res}str332{sf}{txt} now {bf}{res}str1{sf}
  {txt}variable {bf}title_aptpol_1_6{sf} was {bf}{res}str91{sf}{txt} now {bf}{res}str1{sf}
  {txt}variable {bf}who_aptpol_1_6{sf} was {bf}{res}str47{sf}{txt} now {bf}{res}str1{sf}
  {txt}variable {bf}mostinf_servdel_1_6{sf} was {bf}{res}str256{sf}{txt} now {bf}{res}str1{sf}
  {txt}variable {bf}educ_elecpolbur_1_6{sf} was {bf}{res}str258{sf}{txt} now {bf}{res}str1{sf}
  {txt}variable {bf}educ_apolbur_1_6{sf} was {bf}{res}str260{sf}{txt} now {bf}{res}str1{sf}
  {txt}variable {bf}slry_elecpolbur_1_6{sf} was {bf}{res}str316{sf}{txt} now {bf}{res}str1{sf}
  {txt}variable {bf}slry_apolbur_1_6{sf} was {bf}{res}str318{sf}{txt} now {bf}{res}str1{sf}
  {txt}variable {bf}fdout_epol_bgt_1_6{sf} was {bf}{res}str373{sf}{txt} now {bf}{res}str1{sf}
  {txt}variable {bf}fdout_apol_bgt_1_6{sf} was {bf}{res}str375{sf}{txt} now {bf}{res}str1{sf}
  {txt}variable {bf}budsect_epol_1_6{sf} was {bf}{res}str216{sf}{txt} now {bf}{res}str1{sf}
  {txt}variable {bf}budsect_apol_1_6{sf} was {bf}{res}str218{sf}{txt} now {bf}{res}str1{sf}
  {txt}variable {bf}acinfexp_epol_1_6{sf} was {bf}{res}str216{sf}{txt} now {bf}{res}str1{sf}
  {txt}variable {bf}acinfexp_apol_1_6{sf} was {bf}{res}str218{sf}{txt} now {bf}{res}str1{sf}
  {txt}variable {bf}understand_epol_1_6{sf} was {bf}{res}str214{sf}{txt} now {bf}{res}str1{sf}
  {txt}variable {bf}understand_apol_1_6{sf} was {bf}{res}str216{sf}{txt} now {bf}{res}str1{sf}
  {txt}variable {bf}acttake_epol_1_6{sf} was {bf}{res}str247{sf}{txt} now {bf}{res}str1{sf}
  {txt}variable {bf}acttake_epol_1_6_9_text{sf} was {bf}{res}str261{sf}{txt} now {bf}{res}str1{sf}
  {txt}variable {bf}acttake_apol_1_6{sf} was {bf}{res}str249{sf}{txt} now {bf}{res}str1{sf}
  {txt}variable {bf}acttake_apol_1_6_9_text{sf} was {bf}{res}str263{sf}{txt} now {bf}{res}str1{sf}
  {txt}variable {bf}likely_1_6{sf} was {bf}{res}str159{sf}{txt} now {bf}{res}str1{sf}
  {txt}variable {bf}why_likchan_1_6{sf} was {bf}{res}str12{sf}{txt} now {bf}{res}str1{sf}
  {txt}variable {bf}who_apt_bur_1_6{sf} was {bf}{res}str126{sf}{txt} now {bf}{res}str1{sf}
  {txt}variable {bf}who_apt_bur_1_6_8_text{sf} was {bf}{res}str140{sf}{txt} now {bf}{res}str1{sf}
  {txt}variable {bf}who_fir_bur_1_6{sf} was {bf}{res}str120{sf}{txt} now {bf}{res}str1{sf}
  {txt}variable {bf}who_fir_bur_1_6_8_text{sf} was {bf}{res}str134{sf}{txt} now {bf}{res}str1{sf}
  {txt}variable {bf}ocap_epol_1_6{sf} was {bf}{res}str359{sf}{txt} now {bf}{res}str1{sf}
  {txt}variable {bf}ocap_apol_1_6{sf} was {bf}{res}str361{sf}{txt} now {bf}{res}str1{sf}
  {txt}variable {bf}prio_epol_1_6{sf} was {bf}{res}str209{sf}{txt} now {bf}{res}str1{sf}
  {txt}variable {bf}prio_apol_1_6{sf} was {bf}{res}str211{sf}{txt} now {bf}{res}str1{sf}
  {txt}variable {bf}overall_conf_1_6{sf} was {bf}{res}str187{sf}{txt} now {bf}{res}str1{sf}
  {txt}variable {bf}de_jure_facto{sf} was {bf}{res}str201{sf}{txt} now {bf}{res}str65{sf}
  {txt}variable {bf}oth_exp_recommend{sf} was {bf}{res}str109{sf}{txt} now {bf}{res}str28{sf}
  {txt}variable {bf}recommend_experts{sf} was {bf}{res}str201{sf}{txt} now {bf}{res}str169{sf}
  {txt}variable {bf}contact_info_d{sf} was {bf}{res}str176{sf}{txt} now {bf}{res}str3{sf}
  {txt}variable {bf}expert_name{sf} was {bf}{res}str49{sf}{txt} now {bf}{res}str23{sf}
  {txt}variable {bf}expert_job_d{sf} was {bf}{res}str53{sf}{txt} now {bf}{res}str38{sf}
  {txt}variable {bf}expert_job_d_6_text{sf} was {bf}{res}str67{sf}{txt} now {bf}{res}str50{sf}
  {txt}variable {bf}results_sharing_d{sf} was {bf}{res}str76{sf}{txt} now {bf}{res}str65{sf}
  {txt}variable {bf}results_sharing_d_1_text{sf} was {bf}{res}str133{sf}{txt} now {bf}{res}str26{sf}
  {txt}variable {bf}add_question_d{sf} was {bf}{res}str149{sf}{txt} now {bf}{res}str3{sf}
  {txt}variable {bf}avg_educ_buro_3_1{sf} was {bf}{res}str100{sf}{txt} now {bf}{res}str98{sf}
  {txt}variable {bf}avg_slry_epol_3_1{sf} was {bf}{res}str117{sf}{txt} now {bf}{res}str87{sf}
  {txt}variable {bf}avg_slry_buro_3_1{sf} was {bf}{res}str116{sf}{txt} now {bf}{res}str87{sf}
  {txt}variable {bf}avg_educ_epol_3_2{sf} was {bf}{res}str102{sf}{txt} now {bf}{res}str98{sf}
  {txt}variable {bf}avg_educ_buro_3_2{sf} was {bf}{res}str102{sf}{txt} now {bf}{res}str86{sf}
  {txt}variable {bf}avg_slry_epol_3_2{sf} was {bf}{res}str118{sf}{txt} now {bf}{res}str35{sf}
  {txt}variable {bf}avg_slry_apol_3_2{sf} was {bf}{res}str118{sf}{txt} now {bf}{res}str27{sf}
  {txt}variable {bf}avg_slry_buro_3_2{sf} was {bf}{res}str118{sf}{txt} now {bf}{res}str35{sf}
  {txt}variable {bf}avg_educ_apol_3_3{sf} was {bf}{res}str102{sf}{txt} now {bf}{res}str27{sf}
  {txt}variable {bf}avg_educ_buro_3_3{sf} was {bf}{res}str102{sf}{txt} now {bf}{res}str101{sf}
  {txt}variable {bf}avg_slry_epol_3_3{sf} was {bf}{res}str118{sf}{txt} now {bf}{res}str35{sf}
  {txt}variable {bf}avg_slry_apol_3_3{sf} was {bf}{res}str118{sf}{txt} now {bf}{res}str8{sf}
  {txt}variable {bf}avg_slry_buro_3_3{sf} was {bf}{res}str118{sf}{txt} now {bf}{res}str35{sf}
  {txt}variable {bf}avg_educ_epol_3_4{sf} was {bf}{res}str117{sf}{txt} now {bf}{res}str1{sf}
  {txt}variable {bf}avg_educ_apol_3_4{sf} was {bf}{res}str117{sf}{txt} now {bf}{res}str1{sf}
  {txt}variable {bf}avg_educ_buro_3_4{sf} was {bf}{res}str117{sf}{txt} now {bf}{res}str1{sf}
  {txt}variable {bf}avg_slry_epol_3_4{sf} was {bf}{res}str133{sf}{txt} now {bf}{res}str1{sf}
  {txt}variable {bf}avg_slry_apol_3_4{sf} was {bf}{res}str133{sf}{txt} now {bf}{res}str1{sf}
  {txt}variable {bf}avg_slry_buro_3_4{sf} was {bf}{res}str133{sf}{txt} now {bf}{res}str1{sf}
  {txt}variable {bf}avg_educ_epol_3_5{sf} was {bf}{res}str117{sf}{txt} now {bf}{res}str1{sf}
  {txt}variable {bf}avg_educ_apol_3_5{sf} was {bf}{res}str117{sf}{txt} now {bf}{res}str1{sf}
  {txt}variable {bf}avg_educ_buro_3_5{sf} was {bf}{res}str117{sf}{txt} now {bf}{res}str1{sf}
  {txt}variable {bf}avg_slry_epol_3_5{sf} was {bf}{res}str133{sf}{txt} now {bf}{res}str1{sf}
  {txt}variable {bf}avg_slry_apol_3_5{sf} was {bf}{res}str133{sf}{txt} now {bf}{res}str1{sf}
  {txt}variable {bf}avg_slry_buro_3_5{sf} was {bf}{res}str133{sf}{txt} now {bf}{res}str1{sf}
  {txt}variable {bf}avg_educ_epol_3_6{sf} was {bf}{res}str117{sf}{txt} now {bf}{res}str1{sf}
  {txt}variable {bf}avg_educ_apol_3_6{sf} was {bf}{res}str117{sf}{txt} now {bf}{res}str1{sf}
  {txt}variable {bf}avg_educ_buro_3_6{sf} was {bf}{res}str117{sf}{txt} now {bf}{res}str1{sf}
  {txt}variable {bf}avg_slry_epol_3_6{sf} was {bf}{res}str133{sf}{txt} now {bf}{res}str1{sf}
  {txt}variable {bf}avg_slry_apol_3_6{sf} was {bf}{res}str133{sf}{txt} now {bf}{res}str1{sf}
  {txt}variable {bf}avg_slry_buro_3_6{sf} was {bf}{res}str133{sf}{txt} now {bf}{res}str1{sf}
  {txt}variable {bf}avg_educ_epol_2_1{sf} was {bf}{res}str101{sf}{txt} now {bf}{res}str1{sf}
  {txt}variable {bf}avg_educ_apol_2_1{sf} was {bf}{res}str101{sf}{txt} now {bf}{res}str1{sf}
  {txt}variable {bf}avg_educ_buro_2_1{sf} was {bf}{res}str101{sf}{txt} now {bf}{res}str1{sf}
  {txt}variable {bf}avg_slry_epol_2_1{sf} was {bf}{res}str118{sf}{txt} now {bf}{res}str1{sf}
  {txt}variable {bf}avg_slry_apol_2_1{sf} was {bf}{res}str118{sf}{txt} now {bf}{res}str1{sf}
  {txt}variable {bf}avg_slry_buro_2_1{sf} was {bf}{res}str118{sf}{txt} now {bf}{res}str1{sf}
  {txt}variable {bf}avg_educ_epol_2_2{sf} was {bf}{res}str101{sf}{txt} now {bf}{res}str72{sf}
  {txt}variable {bf}avg_educ_apol_2_2{sf} was {bf}{res}str101{sf}{txt} now {bf}{res}str62{sf}
  {txt}variable {bf}avg_educ_buro_2_2{sf} was {bf}{res}str101{sf}{txt} now {bf}{res}str59{sf}
  {txt}variable {bf}avg_slry_apol_2_2{sf} was {bf}{res}str118{sf}{txt} now {bf}{res}str93{sf}
  {txt}variable {bf}avg_slry_buro_2_2{sf} was {bf}{res}str118{sf}{txt} now {bf}{res}str1{sf}
  {txt}variable {bf}avg_educ_epol_2_4{sf} was {bf}{res}str117{sf}{txt} now {bf}{res}str1{sf}
  {txt}variable {bf}avg_educ_apol_2_4{sf} was {bf}{res}str117{sf}{txt} now {bf}{res}str1{sf}
  {txt}variable {bf}avg_educ_buro_2_4{sf} was {bf}{res}str117{sf}{txt} now {bf}{res}str1{sf}
  {txt}variable {bf}avg_slry_epol_2_4{sf} was {bf}{res}str134{sf}{txt} now {bf}{res}str1{sf}
  {txt}variable {bf}avg_slry_apol_2_4{sf} was {bf}{res}str134{sf}{txt} now {bf}{res}str1{sf}
  {txt}variable {bf}avg_slry_buro_2_4{sf} was {bf}{res}str134{sf}{txt} now {bf}{res}str1{sf}
  {txt}variable {bf}avg_educ_epol_2_5{sf} was {bf}{res}str117{sf}{txt} now {bf}{res}str1{sf}
  {txt}variable {bf}avg_educ_apol_2_5{sf} was {bf}{res}str117{sf}{txt} now {bf}{res}str1{sf}
  {txt}variable {bf}avg_educ_buro_2_5{sf} was {bf}{res}str117{sf}{txt} now {bf}{res}str1{sf}
  {txt}variable {bf}avg_slry_epol_2_5{sf} was {bf}{res}str134{sf}{txt} now {bf}{res}str1{sf}
  {txt}variable {bf}avg_slry_apol_2_5{sf} was {bf}{res}str134{sf}{txt} now {bf}{res}str1{sf}
  {txt}variable {bf}avg_slry_buro_2_5{sf} was {bf}{res}str134{sf}{txt} now {bf}{res}str1{sf}
  {txt}variable {bf}avg_educ_epol_2_6{sf} was {bf}{res}str117{sf}{txt} now {bf}{res}str1{sf}
  {txt}variable {bf}avg_educ_apol_2_6{sf} was {bf}{res}str117{sf}{txt} now {bf}{res}str1{sf}
  {txt}variable {bf}avg_educ_buro_2_6{sf} was {bf}{res}str117{sf}{txt} now {bf}{res}str1{sf}
  {txt}variable {bf}avg_slry_epol_2_6{sf} was {bf}{res}str134{sf}{txt} now {bf}{res}str1{sf}
  {txt}variable {bf}avg_slry_apol_2_6{sf} was {bf}{res}str134{sf}{txt} now {bf}{res}str1{sf}
  {txt}variable {bf}avg_slry_buro_2_6{sf} was {bf}{res}str134{sf}{txt} now {bf}{res}str1{sf}
  {txt}variable {bf}avg_educ_epol_1_1{sf} was {bf}{res}str101{sf}{txt} now {bf}{res}str66{sf}
  {txt}variable {bf}avg_educ_apol_1_1{sf} was {bf}{res}str101{sf}{txt} now {bf}{res}str1{sf}
  {txt}variable {bf}avg_educ_buro_1_1{sf} was {bf}{res}str101{sf}{txt} now {bf}{res}str86{sf}
  {txt}variable {bf}avg_slry_epol_1_1{sf} was {bf}{res}str118{sf}{txt} now {bf}{res}str1{sf}
  {txt}variable {bf}avg_slry_apol_1_1{sf} was {bf}{res}str118{sf}{txt} now {bf}{res}str1{sf}
  {txt}variable {bf}avg_slry_buro_1_1{sf} was {bf}{res}str118{sf}{txt} now {bf}{res}str1{sf}
  {txt}variable {bf}avg_educ_epol_1_4{sf} was {bf}{res}str117{sf}{txt} now {bf}{res}str1{sf}
  {txt}variable {bf}avg_educ_apol_1_4{sf} was {bf}{res}str117{sf}{txt} now {bf}{res}str1{sf}
  {txt}variable {bf}avg_educ_buro_1_4{sf} was {bf}{res}str117{sf}{txt} now {bf}{res}str1{sf}
  {txt}variable {bf}avg_slry_epol_1_4{sf} was {bf}{res}str134{sf}{txt} now {bf}{res}str1{sf}
  {txt}variable {bf}avg_slry_apol_1_4{sf} was {bf}{res}str134{sf}{txt} now {bf}{res}str1{sf}
  {txt}variable {bf}avg_slry_buro_1_4{sf} was {bf}{res}str134{sf}{txt} now {bf}{res}str1{sf}
  {txt}variable {bf}avg_educ_epol_1_5{sf} was {bf}{res}str117{sf}{txt} now {bf}{res}str1{sf}
  {txt}variable {bf}avg_educ_apol_1_5{sf} was {bf}{res}str117{sf}{txt} now {bf}{res}str1{sf}
  {txt}variable {bf}avg_educ_buro_1_5{sf} was {bf}{res}str117{sf}{txt} now {bf}{res}str1{sf}
  {txt}variable {bf}avg_slry_epol_1_5{sf} was {bf}{res}str134{sf}{txt} now {bf}{res}str1{sf}
  {txt}variable {bf}avg_slry_apol_1_5{sf} was {bf}{res}str134{sf}{txt} now {bf}{res}str1{sf}
  {txt}variable {bf}avg_slry_buro_1_5{sf} was {bf}{res}str134{sf}{txt} now {bf}{res}str1{sf}
  {txt}variable {bf}avg_educ_epol_1_6{sf} was {bf}{res}str117{sf}{txt} now {bf}{res}str1{sf}
  {txt}variable {bf}avg_educ_apol_1_6{sf} was {bf}{res}str117{sf}{txt} now {bf}{res}str1{sf}
  {txt}variable {bf}avg_educ_buro_1_6{sf} was {bf}{res}str117{sf}{txt} now {bf}{res}str1{sf}
  {txt}variable {bf}avg_slry_epol_1_6{sf} was {bf}{res}str134{sf}{txt} now {bf}{res}str1{sf}
  {txt}variable {bf}avg_slry_apol_1_6{sf} was {bf}{res}str134{sf}{txt} now {bf}{res}str1{sf}
  {txt}variable {bf}avg_slry_buro_1_6{sf} was {bf}{res}str134{sf}{txt} now {bf}{res}str1{sf}
  {txt}variable {bf}method_pay_bank_in_q{sf} was {bf}{res}str237{sf}{txt} now {bf}{res}str24{sf}
  {txt}variable {bf}expert_donation_org{sf} was {bf}{res}str129{sf}{txt} now {bf}{res}str23{sf}
  {txt}variable {bf}q967{sf} was {bf}{res}str236{sf}{txt} now {bf}{res}str65{sf}
  {txt}variable {bf}q978{sf} was {bf}{res}str326{sf}{txt} now {bf}{res}str16{sf}
  {txt}variable {bf}q979{sf} was {bf}{res}str104{sf}{txt} now {bf}{res}str39{sf}
  {txt}variable {bf}q980{sf} was {bf}{res}str95{sf}{txt} now {bf}{res}str11{sf}
  {txt}variable {bf}q987{sf} was {bf}{res}str170{sf}{txt} now {bf}{res}str24{sf}
  {txt}variable {bf}q984{sf} was {bf}{res}str326{sf}{txt} now {bf}{res}str1{sf}
  {txt}variable {bf}q985{sf} was {bf}{res}str104{sf}{txt} now {bf}{res}str1{sf}
  {txt}variable {bf}q986{sf} was {bf}{res}str95{sf}{txt} now {bf}{res}str1{sf}
  {txt}variable {bf}q988{sf} was {bf}{res}str170{sf}{txt} now {bf}{res}str1{sf}
  {txt}variable {bf}q989{sf} was {bf}{res}str559{sf}{txt} now {bf}{res}str1{sf}
  {txt}variable {bf}q990{sf} was {bf}{res}str102{sf}{txt} now {bf}{res}str1{sf}
  {txt}variable {bf}q991{sf} was {bf}{res}str93{sf}{txt} now {bf}{res}str1{sf}
  {txt}variable {bf}q992{sf} was {bf}{res}str170{sf}{txt} now {bf}{res}str1{sf}
  {txt}variable {bf}q998{sf} was {bf}{res}str537{sf}{txt} now {bf}{res}str1{sf}
  {txt}variable {bf}q997{sf} was {bf}{res}str105{sf}{txt} now {bf}{res}str1{sf}
  {txt}variable {bf}q999{sf} was {bf}{res}str104{sf}{txt} now {bf}{res}str1{sf}
  {txt}variable {bf}q1000{sf} was {bf}{res}str95{sf}{txt} now {bf}{res}str1{sf}
  {txt}variable {bf}q1001{sf} was {bf}{res}str170{sf}{txt} now {bf}{res}str1{sf}
  {txt}variable {bf}q977{sf} was {bf}{res}str502{sf}{txt} now {bf}{res}str23{sf}
  {txt}variable {bf}country{sf} was {bf}{res}str15{sf}{txt} now {bf}{res}str11{sf}
  {txt}variable {bf}num_unit{sf} was {bf}{res}str8{sf}{txt} now {bf}{res}str1{sf}
  {txt}variable {bf}unit1{sf} was {bf}{res}str26{sf}{txt} now {bf}{res}str15{sf}
  {txt}variable {bf}academic_title{sf} was {bf}{res}str14{sf}{txt} now {bf}{res}str4{sf}
  {txt}variable {bf}full_name{sf} was {bf}{res}str28{sf}{txt} now {bf}{res}str23{sf}
  {txt}variable {bf}round{sf} was {bf}{res}str5{sf}{txt} now {bf}{res}str1{sf}
  {txt}variable {bf}coup{sf} was {bf}{res}str4{sf}{txt} now {bf}{res}str1{sf}
  {txt}variable {bf}c_year{sf} was {bf}{res}str6{sf}{txt} now {bf}{res}str4{sf}
{txt}  (1,451,670 bytes saved)

{com}. do "/var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//SD44938.000000"
{txt}
{com}. 
.         * Purpose: Importing data to run HFC
.         
.         * Setting up globals
.         
.         if "`c(username)'" == "fredericcochinard" {c -(}
.                 
.                 global import_folder "/Users/fredericcochinard/Dropbox/Expert survey/Data/0.survey_dataset/0.import"
.                 global output "/Users/fredericcochinard/Dropbox/Expert survey/Data/0.survey_dataset/1.output"
.                 
.                 {c )-}
{txt}
{com}.                 
.         if "`c(username)'" == "" {c -(}
.         
.                 
.                 {c )-}
{txt}
{com}.         
.         * Looking for renaming folder with problem
.         
.         local myfiles: dir "$import_folder" files "*.xlsx"
{txt}
{com}. 
.         foreach file of local myfiles {c -(}
{txt}  2{com}.                 
.                 local subfile = substr("`file'", 1, .)
{txt}  3{com}.                 local subfile : subinstr local subfile " " "_", all
{txt}  4{com}.                 ! mv "${c -(}import_folder{c )-}/`file'" "${c -(}import_folder{c )-}/`subfile'"
{txt}  5{com}.                 
.                 {c )-}
{txt}

{com}.         
.         * Looking for dataset
.         
.         filelist , dir("$import_folder") pat("*.xlsx")
{res}{txt}Number of files found = {res}1
{txt}
{com}.         
.         gen url = filename
{txt}
{com}.         
.         levelsof url
{txt}`"Expert_survey_February_18,_2025_16.23.xlsx"'

{com}. 
.         local lvlfiles `r(levels)'
{txt}
{com}.         
.         local z = 0
{txt}
{com}.         
.         foreach lvl of local lvlfiles {c -(}
{txt}  2{com}.         
.                 local z = `z' + 1
{txt}  3{com}.                 
.                 local temp : subinstr local lvl `"""' "", all
{txt}  4{com}.                 local url : subinstr local temp "'" "", all
{txt}  5{com}.         
.                 import excel "${c -(}import_folder{c )-}/`url'", first case(lower) clear
{txt}  6{com}.                 
.                 gen num = _n
{txt}  7{com}.                 drop if num == 1
{txt}  8{com}.                 
.                 * Preparing the append
.                 
.                 tempfile data`z'
{txt}  9{com}.                 sa "`data`z''"
{txt} 10{com}.                 
.                 {c )-}
{res}{txt}(1 observation deleted)
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.000001 saved

{com}.                 
.         * We append the dataset to start cleaning
.         
.         use "`data1'", clear
{txt}
{com}.         
.         forvalues x = 2/`z' {c -(}
{txt}  2{com}.         
.                 append using "`data`x''"
{txt}  3{com}.                 
.                 {c )-}
{txt}
{com}.                 
.         duplicates drop

{p 0 4}{txt}Duplicates in terms of {txt} all variables{p_end}

(0 observations are duplicates)

{com}.         
.         * We keep relevant variable
.         drop if recipientemail == "frederic.cochinard@gmail.com"
{txt}(8 observations deleted)

{com}.         drop if recipientemail == "vedpant+spanish@college.harvard.edu"
{txt}(1 observation deleted)

{com}.         drop if recipientemail == "frederic.cochinard+3@gmail.com"
{txt}(1 observation deleted)

{com}.         drop if recipientemail == "frederic.cochinard+1@gmail.com"
{txt}(1 observation deleted)

{com}.         
.         * We remove observation that are not finished
.         drop if finished == "False"
{txt}(9 observations deleted)

{com}.         
.         * We create a save
.         
.         tempfile save_data
{txt}
{com}.         sa "`save_data'"
{txt}file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.000002 saved

{com}.         
.         * Payment module
.         
.         keep responseid method_pay_bank_in_q-q977
{txt}
{com}.         
.         e

{txt}end of do-file


{com}. do "/var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//SD44938.000000"
{txt}
{com}. 
.         * Purpose: Importing data to run HFC
.         
.         * Setting up globals
.         
.         if "`c(username)'" == "fredericcochinard" {c -(}
.                 
.                 global import_folder "/Users/fredericcochinard/Dropbox/Expert survey/Data/0.survey_dataset/0.import"
.                 global output "/Users/fredericcochinard/Dropbox/Expert survey/Data/0.survey_dataset/1.output"
.                 
.                 {c )-}
{txt}
{com}.                 
.         if "`c(username)'" == "" {c -(}
.         
.                 
.                 {c )-}
{txt}
{com}.         
.         * Looking for renaming folder with problem
.         
.         local myfiles: dir "$import_folder" files "*.xlsx"
{txt}
{com}. 
.         foreach file of local myfiles {c -(}
{txt}  2{com}.                 
.                 local subfile = substr("`file'", 1, .)
{txt}  3{com}.                 local subfile : subinstr local subfile " " "_", all
{txt}  4{com}.                 ! mv "${c -(}import_folder{c )-}/`file'" "${c -(}import_folder{c )-}/`subfile'"
{txt}  5{com}.                 
.                 {c )-}
{txt}

{com}.         
.         * Looking for dataset
.         
.         filelist , dir("$import_folder") pat("*.xlsx")
{res}{txt}Number of files found = {res}1
{txt}
{com}.         
.         gen url = filename
{txt}
{com}.         
.         levelsof url
{txt}`"Expert_survey_February_18,_2025_16.23.xlsx"'

{com}. 
.         local lvlfiles `r(levels)'
{txt}
{com}.         
.         local z = 0
{txt}
{com}.         
.         foreach lvl of local lvlfiles {c -(}
{txt}  2{com}.         
.                 local z = `z' + 1
{txt}  3{com}.                 
.                 local temp : subinstr local lvl `"""' "", all
{txt}  4{com}.                 local url : subinstr local temp "'" "", all
{txt}  5{com}.         
.                 import excel "${c -(}import_folder{c )-}/`url'", first case(lower) clear
{txt}  6{com}.                 
.                 gen num = _n
{txt}  7{com}.                 drop if num == 1
{txt}  8{com}.                 
.                 * Preparing the append
.                 
.                 tempfile data`z'
{txt}  9{com}.                 sa "`data`z''"
{txt} 10{com}.                 
.                 {c )-}
{res}{txt}(1 observation deleted)
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.000001 saved

{com}.                 
.         * We append the dataset to start cleaning
.         
.         use "`data1'", clear
{txt}
{com}.         
.         forvalues x = 2/`z' {c -(}
{txt}  2{com}.         
.                 append using "`data`x''"
{txt}  3{com}.                 
.                 {c )-}
{txt}
{com}.                 
.         duplicates drop

{p 0 4}{txt}Duplicates in terms of {txt} all variables{p_end}

(0 observations are duplicates)

{com}.         
.         * We keep relevant variable
.         drop if recipientemail == "frederic.cochinard@gmail.com"
{txt}(8 observations deleted)

{com}.         drop if recipientemail == "vedpant+spanish@college.harvard.edu"
{txt}(1 observation deleted)

{com}.         drop if recipientemail == "frederic.cochinard+3@gmail.com"
{txt}(1 observation deleted)

{com}.         drop if recipientemail == "frederic.cochinard+1@gmail.com"
{txt}(1 observation deleted)

{com}.         
.         * We remove observation that are not finished
.         drop if finished == "False"
{txt}(9 observations deleted)

{com}.         
.         * We create a save
.         
.         tempfile save_data
{txt}
{com}.         sa "`save_data'"
{txt}file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.000002 saved

{com}.         
.         * Payment module
.         
.         keep responseid method_pay_bank_in_q-q977
{txt}
{com}.         compress
  {txt}variable {bf}method_pay_bank_in_q{sf} was {bf}{res}str237{sf}{txt} now {bf}{res}str24{sf}
  {txt}variable {bf}expert_donation_org{sf} was {bf}{res}str129{sf}{txt} now {bf}{res}str23{sf}
  {txt}variable {bf}q967{sf} was {bf}{res}str236{sf}{txt} now {bf}{res}str65{sf}
  {txt}variable {bf}q978{sf} was {bf}{res}str326{sf}{txt} now {bf}{res}str16{sf}
  {txt}variable {bf}q979{sf} was {bf}{res}str104{sf}{txt} now {bf}{res}str39{sf}
  {txt}variable {bf}q980{sf} was {bf}{res}str95{sf}{txt} now {bf}{res}str11{sf}
  {txt}variable {bf}q987{sf} was {bf}{res}str170{sf}{txt} now {bf}{res}str24{sf}
  {txt}variable {bf}q984{sf} was {bf}{res}str326{sf}{txt} now {bf}{res}str1{sf}
  {txt}variable {bf}q985{sf} was {bf}{res}str104{sf}{txt} now {bf}{res}str1{sf}
  {txt}variable {bf}q986{sf} was {bf}{res}str95{sf}{txt} now {bf}{res}str1{sf}
  {txt}variable {bf}q988{sf} was {bf}{res}str170{sf}{txt} now {bf}{res}str1{sf}
  {txt}variable {bf}q989{sf} was {bf}{res}str559{sf}{txt} now {bf}{res}str1{sf}
  {txt}variable {bf}q990{sf} was {bf}{res}str102{sf}{txt} now {bf}{res}str1{sf}
  {txt}variable {bf}q991{sf} was {bf}{res}str93{sf}{txt} now {bf}{res}str1{sf}
  {txt}variable {bf}q992{sf} was {bf}{res}str170{sf}{txt} now {bf}{res}str1{sf}
  {txt}variable {bf}q998{sf} was {bf}{res}str537{sf}{txt} now {bf}{res}str1{sf}
  {txt}variable {bf}q997{sf} was {bf}{res}str105{sf}{txt} now {bf}{res}str1{sf}
  {txt}variable {bf}q999{sf} was {bf}{res}str104{sf}{txt} now {bf}{res}str1{sf}
  {txt}variable {bf}q1000{sf} was {bf}{res}str95{sf}{txt} now {bf}{res}str1{sf}
  {txt}variable {bf}q1001{sf} was {bf}{res}str170{sf}{txt} now {bf}{res}str1{sf}
  {txt}variable {bf}q977{sf} was {bf}{res}str502{sf}{txt} now {bf}{res}str23{sf}
{txt}  (46,101 bytes saved)

{com}.         
.         e

{txt}end of do-file


{com}. do "/var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//SD44938.000000"
{txt}
{com}. 
.         * Purpose: Importing data to run HFC
.         
.         * Setting up globals
.         
.         if "`c(username)'" == "fredericcochinard" {c -(}
.                 
.                 global import_folder "/Users/fredericcochinard/Dropbox/Expert survey/Data/0.survey_dataset/0.import"
.                 global output "/Users/fredericcochinard/Dropbox/Expert survey/Data/0.survey_dataset/1.output"
.                 
.                 {c )-}
{txt}
{com}.                 
.         if "`c(username)'" == "" {c -(}
.         
.                 
.                 {c )-}
{txt}
{com}.         
.         * Looking for renaming folder with problem
.         
.         local myfiles: dir "$import_folder" files "*.xlsx"
{txt}
{com}. 
.         foreach file of local myfiles {c -(}
{txt}  2{com}.                 
.                 local subfile = substr("`file'", 1, .)
{txt}  3{com}.                 local subfile : subinstr local subfile " " "_", all
{txt}  4{com}.                 ! mv "${c -(}import_folder{c )-}/`file'" "${c -(}import_folder{c )-}/`subfile'"
{txt}  5{com}.                 
.                 {c )-}
{txt}

{com}.         
.         * Looking for dataset
.         
.         filelist , dir("$import_folder") pat("*.xlsx")
{res}{txt}Number of files found = {res}1
{txt}
{com}.         
.         gen url = filename
{txt}
{com}.         
.         levelsof url
{txt}`"Expert_survey_February_18,_2025_16.23.xlsx"'

{com}. 
.         local lvlfiles `r(levels)'
{txt}
{com}.         
.         local z = 0
{txt}
{com}.         
.         foreach lvl of local lvlfiles {c -(}
{txt}  2{com}.         
.                 local z = `z' + 1
{txt}  3{com}.                 
.                 local temp : subinstr local lvl `"""' "", all
{txt}  4{com}.                 local url : subinstr local temp "'" "", all
{txt}  5{com}.         
.                 import excel "${c -(}import_folder{c )-}/`url'", first case(lower) clear
{txt}  6{com}.                 
.                 gen num = _n
{txt}  7{com}.                 drop if num == 1
{txt}  8{com}.                 
.                 * Preparing the append
.                 
.                 tempfile data`z'
{txt}  9{com}.                 sa "`data`z''"
{txt} 10{com}.                 
.                 {c )-}
{res}{txt}(1 observation deleted)
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.000001 saved

{com}.                 
.         * We append the dataset to start cleaning
.         
.         use "`data1'", clear
{txt}
{com}.         
.         forvalues x = 2/`z' {c -(}
{txt}  2{com}.         
.                 append using "`data`x''"
{txt}  3{com}.                 
.                 {c )-}
{txt}
{com}.                 
.         duplicates drop

{p 0 4}{txt}Duplicates in terms of {txt} all variables{p_end}

(0 observations are duplicates)

{com}.         
.         * We keep relevant variable
.         drop if recipientemail == "frederic.cochinard@gmail.com"
{txt}(8 observations deleted)

{com}.         drop if recipientemail == "vedpant+spanish@college.harvard.edu"
{txt}(1 observation deleted)

{com}.         drop if recipientemail == "frederic.cochinard+3@gmail.com"
{txt}(1 observation deleted)

{com}.         drop if recipientemail == "frederic.cochinard+1@gmail.com"
{txt}(1 observation deleted)

{com}.         
.         * We remove observation that are not finished
.         drop if finished == "False"
{txt}(9 observations deleted)

{com}.         
.         * We create a save
.         
.         tempfile save_data
{txt}
{com}.         sa "`save_data'"
{txt}file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.000002 saved

{com}.         
.         * Payment module
.         
.         keep responseid method_pay_bank_in_q-q977
{txt}
{com}.         compress
  {txt}variable {bf}method_pay_bank_in_q{sf} was {bf}{res}str237{sf}{txt} now {bf}{res}str24{sf}
  {txt}variable {bf}expert_donation_org{sf} was {bf}{res}str129{sf}{txt} now {bf}{res}str23{sf}
  {txt}variable {bf}q967{sf} was {bf}{res}str236{sf}{txt} now {bf}{res}str65{sf}
  {txt}variable {bf}q978{sf} was {bf}{res}str326{sf}{txt} now {bf}{res}str16{sf}
  {txt}variable {bf}q979{sf} was {bf}{res}str104{sf}{txt} now {bf}{res}str39{sf}
  {txt}variable {bf}q980{sf} was {bf}{res}str95{sf}{txt} now {bf}{res}str11{sf}
  {txt}variable {bf}q987{sf} was {bf}{res}str170{sf}{txt} now {bf}{res}str24{sf}
  {txt}variable {bf}q984{sf} was {bf}{res}str326{sf}{txt} now {bf}{res}str1{sf}
  {txt}variable {bf}q985{sf} was {bf}{res}str104{sf}{txt} now {bf}{res}str1{sf}
  {txt}variable {bf}q986{sf} was {bf}{res}str95{sf}{txt} now {bf}{res}str1{sf}
  {txt}variable {bf}q988{sf} was {bf}{res}str170{sf}{txt} now {bf}{res}str1{sf}
  {txt}variable {bf}q989{sf} was {bf}{res}str559{sf}{txt} now {bf}{res}str1{sf}
  {txt}variable {bf}q990{sf} was {bf}{res}str102{sf}{txt} now {bf}{res}str1{sf}
  {txt}variable {bf}q991{sf} was {bf}{res}str93{sf}{txt} now {bf}{res}str1{sf}
  {txt}variable {bf}q992{sf} was {bf}{res}str170{sf}{txt} now {bf}{res}str1{sf}
  {txt}variable {bf}q998{sf} was {bf}{res}str537{sf}{txt} now {bf}{res}str1{sf}
  {txt}variable {bf}q997{sf} was {bf}{res}str105{sf}{txt} now {bf}{res}str1{sf}
  {txt}variable {bf}q999{sf} was {bf}{res}str104{sf}{txt} now {bf}{res}str1{sf}
  {txt}variable {bf}q1000{sf} was {bf}{res}str95{sf}{txt} now {bf}{res}str1{sf}
  {txt}variable {bf}q1001{sf} was {bf}{res}str170{sf}{txt} now {bf}{res}str1{sf}
  {txt}variable {bf}q977{sf} was {bf}{res}str502{sf}{txt} now {bf}{res}str23{sf}
{txt}  (46,101 bytes saved)

{com}.         
.         gen donate_d = 0
{txt}
{com}.         replace donate_d = 1 if method_pay_bank_in_q == "I prefer to donate"
{txt}(3 real changes made)

{com}.         
.         * Special case
.         replace donate_d = 1 if responde_id == "R_4ouc7tR6BFj3gpb" /// respondent is refusing to take money in comments
>         replace donate_d = 1 if responde_id == "R_4Iow7YzsoT2KTOx" /// respondent is writing cancel in comments
>         
{err}responde_id not found
{txt}{search r(111), local:r(111);}

end of do-file

{search r(111), local:r(111);}

{com}. do "/var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//SD44938.000000"
{txt}
{com}. 
.         * Purpose: Importing data to run HFC
.         
.         * Setting up globals
.         
.         if "`c(username)'" == "fredericcochinard" {c -(}
.                 
.                 global import_folder "/Users/fredericcochinard/Dropbox/Expert survey/Data/0.survey_dataset/0.import"
.                 global output "/Users/fredericcochinard/Dropbox/Expert survey/Data/0.survey_dataset/1.output"
.                 
.                 {c )-}
{txt}
{com}.                 
.         if "`c(username)'" == "" {c -(}
.         
.                 
.                 {c )-}
{txt}
{com}.         
.         * Looking for renaming folder with problem
.         
.         local myfiles: dir "$import_folder" files "*.xlsx"
{txt}
{com}. 
.         foreach file of local myfiles {c -(}
{txt}  2{com}.                 
.                 local subfile = substr("`file'", 1, .)
{txt}  3{com}.                 local subfile : subinstr local subfile " " "_", all
{txt}  4{com}.                 ! mv "${c -(}import_folder{c )-}/`file'" "${c -(}import_folder{c )-}/`subfile'"
{txt}  5{com}.                 
.                 {c )-}
{txt}

{com}.         
.         * Looking for dataset
.         
.         filelist , dir("$import_folder") pat("*.xlsx")
{res}{txt}Number of files found = {res}1
{txt}
{com}.         
.         gen url = filename
{txt}
{com}.         
.         levelsof url
{txt}`"Expert_survey_February_18,_2025_16.23.xlsx"'

{com}. 
.         local lvlfiles `r(levels)'
{txt}
{com}.         
.         local z = 0
{txt}
{com}.         
.         foreach lvl of local lvlfiles {c -(}
{txt}  2{com}.         
.                 local z = `z' + 1
{txt}  3{com}.                 
.                 local temp : subinstr local lvl `"""' "", all
{txt}  4{com}.                 local url : subinstr local temp "'" "", all
{txt}  5{com}.         
.                 import excel "${c -(}import_folder{c )-}/`url'", first case(lower) clear
{txt}  6{com}.                 
.                 gen num = _n
{txt}  7{com}.                 drop if num == 1
{txt}  8{com}.                 
.                 * Preparing the append
.                 
.                 tempfile data`z'
{txt}  9{com}.                 sa "`data`z''"
{txt} 10{com}.                 
.                 {c )-}
{res}{txt}(1 observation deleted)
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.000001 saved

{com}.                 
.         * We append the dataset to start cleaning
.         
.         use "`data1'", clear
{txt}
{com}.         
.         forvalues x = 2/`z' {c -(}
{txt}  2{com}.         
.                 append using "`data`x''"
{txt}  3{com}.                 
.                 {c )-}
{txt}
{com}.                 
.         duplicates drop

{p 0 4}{txt}Duplicates in terms of {txt} all variables{p_end}

(0 observations are duplicates)

{com}.         
.         * We keep relevant variable
.         drop if recipientemail == "frederic.cochinard@gmail.com"
{txt}(8 observations deleted)

{com}.         drop if recipientemail == "vedpant+spanish@college.harvard.edu"
{txt}(1 observation deleted)

{com}.         drop if recipientemail == "frederic.cochinard+3@gmail.com"
{txt}(1 observation deleted)

{com}.         drop if recipientemail == "frederic.cochinard+1@gmail.com"
{txt}(1 observation deleted)

{com}.         
.         * We remove observation that are not finished
.         drop if finished == "False"
{txt}(9 observations deleted)

{com}.         
.         * We create a save
.         
.         tempfile save_data
{txt}
{com}.         sa "`save_data'"
{txt}file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.000002 saved

{com}.         
.         * Payment module
.         
.         keep responseid method_pay_bank_in_q-q977
{txt}
{com}.         compress
  {txt}variable {bf}method_pay_bank_in_q{sf} was {bf}{res}str237{sf}{txt} now {bf}{res}str24{sf}
  {txt}variable {bf}expert_donation_org{sf} was {bf}{res}str129{sf}{txt} now {bf}{res}str23{sf}
  {txt}variable {bf}q967{sf} was {bf}{res}str236{sf}{txt} now {bf}{res}str65{sf}
  {txt}variable {bf}q978{sf} was {bf}{res}str326{sf}{txt} now {bf}{res}str16{sf}
  {txt}variable {bf}q979{sf} was {bf}{res}str104{sf}{txt} now {bf}{res}str39{sf}
  {txt}variable {bf}q980{sf} was {bf}{res}str95{sf}{txt} now {bf}{res}str11{sf}
  {txt}variable {bf}q987{sf} was {bf}{res}str170{sf}{txt} now {bf}{res}str24{sf}
  {txt}variable {bf}q984{sf} was {bf}{res}str326{sf}{txt} now {bf}{res}str1{sf}
  {txt}variable {bf}q985{sf} was {bf}{res}str104{sf}{txt} now {bf}{res}str1{sf}
  {txt}variable {bf}q986{sf} was {bf}{res}str95{sf}{txt} now {bf}{res}str1{sf}
  {txt}variable {bf}q988{sf} was {bf}{res}str170{sf}{txt} now {bf}{res}str1{sf}
  {txt}variable {bf}q989{sf} was {bf}{res}str559{sf}{txt} now {bf}{res}str1{sf}
  {txt}variable {bf}q990{sf} was {bf}{res}str102{sf}{txt} now {bf}{res}str1{sf}
  {txt}variable {bf}q991{sf} was {bf}{res}str93{sf}{txt} now {bf}{res}str1{sf}
  {txt}variable {bf}q992{sf} was {bf}{res}str170{sf}{txt} now {bf}{res}str1{sf}
  {txt}variable {bf}q998{sf} was {bf}{res}str537{sf}{txt} now {bf}{res}str1{sf}
  {txt}variable {bf}q997{sf} was {bf}{res}str105{sf}{txt} now {bf}{res}str1{sf}
  {txt}variable {bf}q999{sf} was {bf}{res}str104{sf}{txt} now {bf}{res}str1{sf}
  {txt}variable {bf}q1000{sf} was {bf}{res}str95{sf}{txt} now {bf}{res}str1{sf}
  {txt}variable {bf}q1001{sf} was {bf}{res}str170{sf}{txt} now {bf}{res}str1{sf}
  {txt}variable {bf}q977{sf} was {bf}{res}str502{sf}{txt} now {bf}{res}str23{sf}
{txt}  (46,101 bytes saved)

{com}.         
.         gen donate_d = 0
{txt}
{com}.         replace donate_d = 1 if method_pay_bank_in_q == "I prefer to donate"
{txt}(3 real changes made)

{com}.         
.         * Special case
.         replace donate_d = 1 if response_id == "R_4ouc7tR6BFj3gpb" /// respondent is refusing to take money in comments
>         replace donate_d = 1 if response_id == "R_4Iow7YzsoT2KTOx" /// respondent is writing cancel in comments
>         
{err}response_id not found
{txt}{search r(111), local:r(111);}

end of do-file

{search r(111), local:r(111);}

{com}. do "/var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//SD44938.000000"
{txt}
{com}. 
.         * Purpose: Importing data to run HFC
.         
.         * Setting up globals
.         
.         if "`c(username)'" == "fredericcochinard" {c -(}
.                 
.                 global import_folder "/Users/fredericcochinard/Dropbox/Expert survey/Data/0.survey_dataset/0.import"
.                 global output "/Users/fredericcochinard/Dropbox/Expert survey/Data/0.survey_dataset/1.output"
.                 
.                 {c )-}
{txt}
{com}.                 
.         if "`c(username)'" == "" {c -(}
.         
.                 
.                 {c )-}
{txt}
{com}.         
.         * Looking for renaming folder with problem
.         
.         local myfiles: dir "$import_folder" files "*.xlsx"
{txt}
{com}. 
.         foreach file of local myfiles {c -(}
{txt}  2{com}.                 
.                 local subfile = substr("`file'", 1, .)
{txt}  3{com}.                 local subfile : subinstr local subfile " " "_", all
{txt}  4{com}.                 ! mv "${c -(}import_folder{c )-}/`file'" "${c -(}import_folder{c )-}/`subfile'"
{txt}  5{com}.                 
.                 {c )-}
{txt}

{com}.         
.         * Looking for dataset
.         
.         filelist , dir("$import_folder") pat("*.xlsx")
{res}{txt}Number of files found = {res}1
{txt}
{com}.         
.         gen url = filename
{txt}
{com}.         
.         levelsof url
{txt}`"Expert_survey_February_18,_2025_16.23.xlsx"'

{com}. 
.         local lvlfiles `r(levels)'
{txt}
{com}.         
.         local z = 0
{txt}
{com}.         
.         foreach lvl of local lvlfiles {c -(}
{txt}  2{com}.         
.                 local z = `z' + 1
{txt}  3{com}.                 
.                 local temp : subinstr local lvl `"""' "", all
{txt}  4{com}.                 local url : subinstr local temp "'" "", all
{txt}  5{com}.         
.                 import excel "${c -(}import_folder{c )-}/`url'", first case(lower) clear
{txt}  6{com}.                 
.                 gen num = _n
{txt}  7{com}.                 drop if num == 1
{txt}  8{com}.                 
.                 * Preparing the append
.                 
.                 tempfile data`z'
{txt}  9{com}.                 sa "`data`z''"
{txt} 10{com}.                 
.                 {c )-}
{res}{txt}(1 observation deleted)
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.000001 saved

{com}.                 
.         * We append the dataset to start cleaning
.         
.         use "`data1'", clear
{txt}
{com}.         
.         forvalues x = 2/`z' {c -(}
{txt}  2{com}.         
.                 append using "`data`x''"
{txt}  3{com}.                 
.                 {c )-}
{txt}
{com}.                 
.         duplicates drop

{p 0 4}{txt}Duplicates in terms of {txt} all variables{p_end}

(0 observations are duplicates)

{com}.         
.         * We keep relevant variable
.         drop if recipientemail == "frederic.cochinard@gmail.com"
{txt}(8 observations deleted)

{com}.         drop if recipientemail == "vedpant+spanish@college.harvard.edu"
{txt}(1 observation deleted)

{com}.         drop if recipientemail == "frederic.cochinard+3@gmail.com"
{txt}(1 observation deleted)

{com}.         drop if recipientemail == "frederic.cochinard+1@gmail.com"
{txt}(1 observation deleted)

{com}.         
.         * We remove observation that are not finished
.         drop if finished == "False"
{txt}(9 observations deleted)

{com}.         
.         * We create a save
.         
.         tempfile save_data
{txt}
{com}.         sa "`save_data'"
{txt}file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.000002 saved

{com}.         
.         * Payment module
.         
.         keep responseid method_pay_bank_in_q-q977
{txt}
{com}.         compress
  {txt}variable {bf}method_pay_bank_in_q{sf} was {bf}{res}str237{sf}{txt} now {bf}{res}str24{sf}
  {txt}variable {bf}expert_donation_org{sf} was {bf}{res}str129{sf}{txt} now {bf}{res}str23{sf}
  {txt}variable {bf}q967{sf} was {bf}{res}str236{sf}{txt} now {bf}{res}str65{sf}
  {txt}variable {bf}q978{sf} was {bf}{res}str326{sf}{txt} now {bf}{res}str16{sf}
  {txt}variable {bf}q979{sf} was {bf}{res}str104{sf}{txt} now {bf}{res}str39{sf}
  {txt}variable {bf}q980{sf} was {bf}{res}str95{sf}{txt} now {bf}{res}str11{sf}
  {txt}variable {bf}q987{sf} was {bf}{res}str170{sf}{txt} now {bf}{res}str24{sf}
  {txt}variable {bf}q984{sf} was {bf}{res}str326{sf}{txt} now {bf}{res}str1{sf}
  {txt}variable {bf}q985{sf} was {bf}{res}str104{sf}{txt} now {bf}{res}str1{sf}
  {txt}variable {bf}q986{sf} was {bf}{res}str95{sf}{txt} now {bf}{res}str1{sf}
  {txt}variable {bf}q988{sf} was {bf}{res}str170{sf}{txt} now {bf}{res}str1{sf}
  {txt}variable {bf}q989{sf} was {bf}{res}str559{sf}{txt} now {bf}{res}str1{sf}
  {txt}variable {bf}q990{sf} was {bf}{res}str102{sf}{txt} now {bf}{res}str1{sf}
  {txt}variable {bf}q991{sf} was {bf}{res}str93{sf}{txt} now {bf}{res}str1{sf}
  {txt}variable {bf}q992{sf} was {bf}{res}str170{sf}{txt} now {bf}{res}str1{sf}
  {txt}variable {bf}q998{sf} was {bf}{res}str537{sf}{txt} now {bf}{res}str1{sf}
  {txt}variable {bf}q997{sf} was {bf}{res}str105{sf}{txt} now {bf}{res}str1{sf}
  {txt}variable {bf}q999{sf} was {bf}{res}str104{sf}{txt} now {bf}{res}str1{sf}
  {txt}variable {bf}q1000{sf} was {bf}{res}str95{sf}{txt} now {bf}{res}str1{sf}
  {txt}variable {bf}q1001{sf} was {bf}{res}str170{sf}{txt} now {bf}{res}str1{sf}
  {txt}variable {bf}q977{sf} was {bf}{res}str502{sf}{txt} now {bf}{res}str23{sf}
{txt}  (46,101 bytes saved)

{com}.         
.         gen donate_d = 0
{txt}
{com}.         replace donate_d = 1 if method_pay_bank_in_q == "I prefer to donate"
{txt}(3 real changes made)

{com}.         
.         * Special case
.         replace donate_d = 1 if responseid == "R_4ouc7tR6BFj3gpb" /// respondent is refusing to take money in comments
>         replace donate_d = 1 if responseid == "R_4Iow7YzsoT2KTOx" /// respondent is writing cancel in comments
>         
{err}invalid 'replace' 
{txt}{search r(198), local:r(198);}

end of do-file

{search r(198), local:r(198);}

{com}. do "/var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//SD44938.000000"
{txt}
{com}. 
.         * Purpose: Importing data to run HFC
.         
.         * Setting up globals
.         
.         if "`c(username)'" == "fredericcochinard" {c -(}
.                 
.                 global import_folder "/Users/fredericcochinard/Dropbox/Expert survey/Data/0.survey_dataset/0.import"
.                 global output "/Users/fredericcochinard/Dropbox/Expert survey/Data/0.survey_dataset/1.output"
.                 
.                 {c )-}
{txt}
{com}.                 
.         if "`c(username)'" == "" {c -(}
.         
.                 
.                 {c )-}
{txt}
{com}.         
.         * Looking for renaming folder with problem
.         
.         local myfiles: dir "$import_folder" files "*.xlsx"
{txt}
{com}. 
.         foreach file of local myfiles {c -(}
{txt}  2{com}.                 
.                 local subfile = substr("`file'", 1, .)
{txt}  3{com}.                 local subfile : subinstr local subfile " " "_", all
{txt}  4{com}.                 ! mv "${c -(}import_folder{c )-}/`file'" "${c -(}import_folder{c )-}/`subfile'"
{txt}  5{com}.                 
.                 {c )-}
{txt}

{com}.         
.         * Looking for dataset
.         
.         filelist , dir("$import_folder") pat("*.xlsx")
{res}{txt}Number of files found = {res}1
{txt}
{com}.         
.         gen url = filename
{txt}
{com}.         
.         levelsof url
{txt}`"Expert_survey_February_18,_2025_16.23.xlsx"'

{com}. 
.         local lvlfiles `r(levels)'
{txt}
{com}.         
.         local z = 0
{txt}
{com}.         
.         foreach lvl of local lvlfiles {c -(}
{txt}  2{com}.         
.                 local z = `z' + 1
{txt}  3{com}.                 
.                 local temp : subinstr local lvl `"""' "", all
{txt}  4{com}.                 local url : subinstr local temp "'" "", all
{txt}  5{com}.         
.                 import excel "${c -(}import_folder{c )-}/`url'", first case(lower) clear
{txt}  6{com}.                 
.                 gen num = _n
{txt}  7{com}.                 drop if num == 1
{txt}  8{com}.                 
.                 * Preparing the append
.                 
.                 tempfile data`z'
{txt}  9{com}.                 sa "`data`z''"
{txt} 10{com}.                 
.                 {c )-}
{res}{txt}(1 observation deleted)
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.000001 saved

{com}.                 
.         * We append the dataset to start cleaning
.         
.         use "`data1'", clear
{txt}
{com}.         
.         forvalues x = 2/`z' {c -(}
{txt}  2{com}.         
.                 append using "`data`x''"
{txt}  3{com}.                 
.                 {c )-}
{txt}
{com}.                 
.         duplicates drop

{p 0 4}{txt}Duplicates in terms of {txt} all variables{p_end}

(0 observations are duplicates)

{com}.         
.         * We keep relevant variable
.         drop if recipientemail == "frederic.cochinard@gmail.com"
{txt}(8 observations deleted)

{com}.         drop if recipientemail == "vedpant+spanish@college.harvard.edu"
{txt}(1 observation deleted)

{com}.         drop if recipientemail == "frederic.cochinard+3@gmail.com"
{txt}(1 observation deleted)

{com}.         drop if recipientemail == "frederic.cochinard+1@gmail.com"
{txt}(1 observation deleted)

{com}.         
.         * We remove observation that are not finished
.         drop if finished == "False"
{txt}(9 observations deleted)

{com}.         
.         * We create a save
.         
.         tempfile save_data
{txt}
{com}.         sa "`save_data'"
{txt}file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.000002 saved

{com}.         
.         * Payment module
.         
.         keep responseid method_pay_bank_in_q-q977
{txt}
{com}.         compress
  {txt}variable {bf}method_pay_bank_in_q{sf} was {bf}{res}str237{sf}{txt} now {bf}{res}str24{sf}
  {txt}variable {bf}expert_donation_org{sf} was {bf}{res}str129{sf}{txt} now {bf}{res}str23{sf}
  {txt}variable {bf}q967{sf} was {bf}{res}str236{sf}{txt} now {bf}{res}str65{sf}
  {txt}variable {bf}q978{sf} was {bf}{res}str326{sf}{txt} now {bf}{res}str16{sf}
  {txt}variable {bf}q979{sf} was {bf}{res}str104{sf}{txt} now {bf}{res}str39{sf}
  {txt}variable {bf}q980{sf} was {bf}{res}str95{sf}{txt} now {bf}{res}str11{sf}
  {txt}variable {bf}q987{sf} was {bf}{res}str170{sf}{txt} now {bf}{res}str24{sf}
  {txt}variable {bf}q984{sf} was {bf}{res}str326{sf}{txt} now {bf}{res}str1{sf}
  {txt}variable {bf}q985{sf} was {bf}{res}str104{sf}{txt} now {bf}{res}str1{sf}
  {txt}variable {bf}q986{sf} was {bf}{res}str95{sf}{txt} now {bf}{res}str1{sf}
  {txt}variable {bf}q988{sf} was {bf}{res}str170{sf}{txt} now {bf}{res}str1{sf}
  {txt}variable {bf}q989{sf} was {bf}{res}str559{sf}{txt} now {bf}{res}str1{sf}
  {txt}variable {bf}q990{sf} was {bf}{res}str102{sf}{txt} now {bf}{res}str1{sf}
  {txt}variable {bf}q991{sf} was {bf}{res}str93{sf}{txt} now {bf}{res}str1{sf}
  {txt}variable {bf}q992{sf} was {bf}{res}str170{sf}{txt} now {bf}{res}str1{sf}
  {txt}variable {bf}q998{sf} was {bf}{res}str537{sf}{txt} now {bf}{res}str1{sf}
  {txt}variable {bf}q997{sf} was {bf}{res}str105{sf}{txt} now {bf}{res}str1{sf}
  {txt}variable {bf}q999{sf} was {bf}{res}str104{sf}{txt} now {bf}{res}str1{sf}
  {txt}variable {bf}q1000{sf} was {bf}{res}str95{sf}{txt} now {bf}{res}str1{sf}
  {txt}variable {bf}q1001{sf} was {bf}{res}str170{sf}{txt} now {bf}{res}str1{sf}
  {txt}variable {bf}q977{sf} was {bf}{res}str502{sf}{txt} now {bf}{res}str23{sf}
{txt}  (46,101 bytes saved)

{com}.         
.         gen donate_d = 0
{txt}
{com}.         replace donate_d = 1 if method_pay_bank_in_q == "I prefer to donate"
{txt}(3 real changes made)

{com}.         
.         * Special case
.         replace donate_d = 1 if responseid == "R_4ouc7tR6BFj3gpb" // respondent is refusing to take money in comments
{txt}(1 real change made)

{com}.         replace donate_d = 1 if responseid == "R_4Iow7YzsoT2KTOx" // respondent is writing cancel in comments
{txt}(1 real change made)

{com}.         
.         lab var donate_d "Respondent decided to donate"
{txt}
{com}.         lab def donate_d 0 "No" 1 "Yes"
{txt}
{com}.         lab val donate_d donate_d
{txt}
{com}.         order donate_d, after(responseid)
{txt}
{com}.         e

{txt}end of do-file


{com}. do "/var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//SD44938.000000"
{txt}
{com}. 
.         * Purpose: Importing data to run HFC
.         
.         * Setting up globals
.         
.         if "`c(username)'" == "fredericcochinard" {c -(}
.                 
.                 global import_folder "/Users/fredericcochinard/Dropbox/Expert survey/Data/0.survey_dataset/0.import"
.                 global output "/Users/fredericcochinard/Dropbox/Expert survey/Data/0.survey_dataset/1.output"
.                 
.                 {c )-}
{txt}
{com}.                 
.         if "`c(username)'" == "" {c -(}
.         
.                 
.                 {c )-}
{txt}
{com}.         
.         * Looking for renaming folder with problem
.         
.         local myfiles: dir "$import_folder" files "*.xlsx"
{txt}
{com}. 
.         foreach file of local myfiles {c -(}
{txt}  2{com}.                 
.                 local subfile = substr("`file'", 1, .)
{txt}  3{com}.                 local subfile : subinstr local subfile " " "_", all
{txt}  4{com}.                 ! mv "${c -(}import_folder{c )-}/`file'" "${c -(}import_folder{c )-}/`subfile'"
{txt}  5{com}.                 
.                 {c )-}
{txt}

{com}.         
.         * Looking for dataset
.         
.         filelist , dir("$import_folder") pat("*.xlsx")
{res}{txt}Number of files found = {res}1
{txt}
{com}.         
.         gen url = filename
{txt}
{com}.         
.         levelsof url
{txt}`"Expert_survey_February_18,_2025_16.23.xlsx"'

{com}. 
.         local lvlfiles `r(levels)'
{txt}
{com}.         
.         local z = 0
{txt}
{com}.         
.         foreach lvl of local lvlfiles {c -(}
{txt}  2{com}.         
.                 local z = `z' + 1
{txt}  3{com}.                 
.                 local temp : subinstr local lvl `"""' "", all
{txt}  4{com}.                 local url : subinstr local temp "'" "", all
{txt}  5{com}.         
.                 import excel "${c -(}import_folder{c )-}/`url'", first case(lower) clear
{txt}  6{com}.                 
.                 gen num = _n
{txt}  7{com}.                 drop if num == 1
{txt}  8{com}.                 
.                 * Preparing the append
.                 
.                 tempfile data`z'
{txt}  9{com}.                 sa "`data`z''"
{txt} 10{com}.                 
.                 {c )-}
{res}{txt}(1 observation deleted)
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.000001 saved

{com}.                 
.         * We append the dataset to start cleaning
.         
.         use "`data1'", clear
{txt}
{com}.         
.         forvalues x = 2/`z' {c -(}
{txt}  2{com}.         
.                 append using "`data`x''"
{txt}  3{com}.                 
.                 {c )-}
{txt}
{com}.                 
.         duplicates drop

{p 0 4}{txt}Duplicates in terms of {txt} all variables{p_end}

(0 observations are duplicates)

{com}.         
.         * We keep relevant variable
.         drop if recipientemail == "frederic.cochinard@gmail.com"
{txt}(8 observations deleted)

{com}.         drop if recipientemail == "vedpant+spanish@college.harvard.edu"
{txt}(1 observation deleted)

{com}.         drop if recipientemail == "frederic.cochinard+3@gmail.com"
{txt}(1 observation deleted)

{com}.         drop if recipientemail == "frederic.cochinard+1@gmail.com"
{txt}(1 observation deleted)

{com}.         
.         * We remove observation that are not finished
.         drop if finished == "False"
{txt}(9 observations deleted)

{com}.         
.         * We create a save
.         
.         tempfile save_data
{txt}
{com}.         sa "`save_data'"
{txt}file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.000002 saved

{com}.         
.         * Payment module
.         
.         keep responseid method_pay_bank_in_q-q977
{txt}
{com}.         compress
  {txt}variable {bf}method_pay_bank_in_q{sf} was {bf}{res}str237{sf}{txt} now {bf}{res}str24{sf}
  {txt}variable {bf}expert_donation_org{sf} was {bf}{res}str129{sf}{txt} now {bf}{res}str23{sf}
  {txt}variable {bf}q967{sf} was {bf}{res}str236{sf}{txt} now {bf}{res}str65{sf}
  {txt}variable {bf}q978{sf} was {bf}{res}str326{sf}{txt} now {bf}{res}str16{sf}
  {txt}variable {bf}q979{sf} was {bf}{res}str104{sf}{txt} now {bf}{res}str39{sf}
  {txt}variable {bf}q980{sf} was {bf}{res}str95{sf}{txt} now {bf}{res}str11{sf}
  {txt}variable {bf}q987{sf} was {bf}{res}str170{sf}{txt} now {bf}{res}str24{sf}
  {txt}variable {bf}q984{sf} was {bf}{res}str326{sf}{txt} now {bf}{res}str1{sf}
  {txt}variable {bf}q985{sf} was {bf}{res}str104{sf}{txt} now {bf}{res}str1{sf}
  {txt}variable {bf}q986{sf} was {bf}{res}str95{sf}{txt} now {bf}{res}str1{sf}
  {txt}variable {bf}q988{sf} was {bf}{res}str170{sf}{txt} now {bf}{res}str1{sf}
  {txt}variable {bf}q989{sf} was {bf}{res}str559{sf}{txt} now {bf}{res}str1{sf}
  {txt}variable {bf}q990{sf} was {bf}{res}str102{sf}{txt} now {bf}{res}str1{sf}
  {txt}variable {bf}q991{sf} was {bf}{res}str93{sf}{txt} now {bf}{res}str1{sf}
  {txt}variable {bf}q992{sf} was {bf}{res}str170{sf}{txt} now {bf}{res}str1{sf}
  {txt}variable {bf}q998{sf} was {bf}{res}str537{sf}{txt} now {bf}{res}str1{sf}
  {txt}variable {bf}q997{sf} was {bf}{res}str105{sf}{txt} now {bf}{res}str1{sf}
  {txt}variable {bf}q999{sf} was {bf}{res}str104{sf}{txt} now {bf}{res}str1{sf}
  {txt}variable {bf}q1000{sf} was {bf}{res}str95{sf}{txt} now {bf}{res}str1{sf}
  {txt}variable {bf}q1001{sf} was {bf}{res}str170{sf}{txt} now {bf}{res}str1{sf}
  {txt}variable {bf}q977{sf} was {bf}{res}str502{sf}{txt} now {bf}{res}str23{sf}
{txt}  (46,101 bytes saved)

{com}.         
.         * Donate_d
.         
.         gen donate_d = 0
{txt}
{com}.         replace donate_d = 1 if method_pay_bank_in_q == "I prefer to donate"
{txt}(3 real changes made)

{com}.         
.         * Special case
.         replace donate_d = 1 if responseid == "R_4ouc7tR6BFj3gpb" // respondent is refusing to take money in comments
{txt}(1 real change made)

{com}.         replace donate_d = 1 if responseid == "R_4Iow7YzsoT2KTOx" // respondent is writing cancel in comments
{txt}(1 real change made)

{com}.         
.         lab var donate_d "Respondent decided to donate"
{txt}
{com}.         lab def donate_d 0 "No" 1 "Yes"
{txt}
{com}.         lab val donate_d donate_d
{txt}
{com}.         order donate_d, after(responseid)
{txt}
{com}.         
.         * Org
.         
.         gen organization_id = . 
{txt}(11 missing values generated)

{com}.         replace organization_id = expert_donation_org if donate_d == 1
{err}type mismatch
{txt}{search r(109), local:r(109);}

end of do-file

{search r(109), local:r(109);}

{com}. do "/var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//SD44938.000000"
{txt}
{com}. 
.         * Purpose: Importing data to run HFC
.         
.         * Setting up globals
.         
.         if "`c(username)'" == "fredericcochinard" {c -(}
.                 
.                 global import_folder "/Users/fredericcochinard/Dropbox/Expert survey/Data/0.survey_dataset/0.import"
.                 global output "/Users/fredericcochinard/Dropbox/Expert survey/Data/0.survey_dataset/1.output"
.                 
.                 {c )-}
{txt}
{com}.                 
.         if "`c(username)'" == "" {c -(}
.         
.                 
.                 {c )-}
{txt}
{com}.         
.         * Looking for renaming folder with problem
.         
.         local myfiles: dir "$import_folder" files "*.xlsx"
{txt}
{com}. 
.         foreach file of local myfiles {c -(}
{txt}  2{com}.                 
.                 local subfile = substr("`file'", 1, .)
{txt}  3{com}.                 local subfile : subinstr local subfile " " "_", all
{txt}  4{com}.                 ! mv "${c -(}import_folder{c )-}/`file'" "${c -(}import_folder{c )-}/`subfile'"
{txt}  5{com}.                 
.                 {c )-}
{txt}

{com}.         
.         * Looking for dataset
.         
.         filelist , dir("$import_folder") pat("*.xlsx")
{res}{txt}Number of files found = {res}1
{txt}
{com}.         
.         gen url = filename
{txt}
{com}.         
.         levelsof url
{txt}`"Expert_survey_February_18,_2025_16.23.xlsx"'

{com}. 
.         local lvlfiles `r(levels)'
{txt}
{com}.         
.         local z = 0
{txt}
{com}.         
.         foreach lvl of local lvlfiles {c -(}
{txt}  2{com}.         
.                 local z = `z' + 1
{txt}  3{com}.                 
.                 local temp : subinstr local lvl `"""' "", all
{txt}  4{com}.                 local url : subinstr local temp "'" "", all
{txt}  5{com}.         
.                 import excel "${c -(}import_folder{c )-}/`url'", first case(lower) clear
{txt}  6{com}.                 
.                 gen num = _n
{txt}  7{com}.                 drop if num == 1
{txt}  8{com}.                 
.                 * Preparing the append
.                 
.                 tempfile data`z'
{txt}  9{com}.                 sa "`data`z''"
{txt} 10{com}.                 
.                 {c )-}
{res}{txt}(1 observation deleted)
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.000001 saved

{com}.                 
.         * We append the dataset to start cleaning
.         
.         use "`data1'", clear
{txt}
{com}.         
.         forvalues x = 2/`z' {c -(}
{txt}  2{com}.         
.                 append using "`data`x''"
{txt}  3{com}.                 
.                 {c )-}
{txt}
{com}.                 
.         duplicates drop

{p 0 4}{txt}Duplicates in terms of {txt} all variables{p_end}

(0 observations are duplicates)

{com}.         
.         * We keep relevant variable
.         drop if recipientemail == "frederic.cochinard@gmail.com"
{txt}(8 observations deleted)

{com}.         drop if recipientemail == "vedpant+spanish@college.harvard.edu"
{txt}(1 observation deleted)

{com}.         drop if recipientemail == "frederic.cochinard+3@gmail.com"
{txt}(1 observation deleted)

{com}.         drop if recipientemail == "frederic.cochinard+1@gmail.com"
{txt}(1 observation deleted)

{com}.         
.         * We remove observation that are not finished
.         drop if finished == "False"
{txt}(9 observations deleted)

{com}.         
.         * We create a save
.         
.         tempfile save_data
{txt}
{com}.         sa "`save_data'"
{txt}file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.000002 saved

{com}.         
.         * Payment module
.         
.         keep responseid method_pay_bank_in_q-q977
{txt}
{com}.         compress
  {txt}variable {bf}method_pay_bank_in_q{sf} was {bf}{res}str237{sf}{txt} now {bf}{res}str24{sf}
  {txt}variable {bf}expert_donation_org{sf} was {bf}{res}str129{sf}{txt} now {bf}{res}str23{sf}
  {txt}variable {bf}q967{sf} was {bf}{res}str236{sf}{txt} now {bf}{res}str65{sf}
  {txt}variable {bf}q978{sf} was {bf}{res}str326{sf}{txt} now {bf}{res}str16{sf}
  {txt}variable {bf}q979{sf} was {bf}{res}str104{sf}{txt} now {bf}{res}str39{sf}
  {txt}variable {bf}q980{sf} was {bf}{res}str95{sf}{txt} now {bf}{res}str11{sf}
  {txt}variable {bf}q987{sf} was {bf}{res}str170{sf}{txt} now {bf}{res}str24{sf}
  {txt}variable {bf}q984{sf} was {bf}{res}str326{sf}{txt} now {bf}{res}str1{sf}
  {txt}variable {bf}q985{sf} was {bf}{res}str104{sf}{txt} now {bf}{res}str1{sf}
  {txt}variable {bf}q986{sf} was {bf}{res}str95{sf}{txt} now {bf}{res}str1{sf}
  {txt}variable {bf}q988{sf} was {bf}{res}str170{sf}{txt} now {bf}{res}str1{sf}
  {txt}variable {bf}q989{sf} was {bf}{res}str559{sf}{txt} now {bf}{res}str1{sf}
  {txt}variable {bf}q990{sf} was {bf}{res}str102{sf}{txt} now {bf}{res}str1{sf}
  {txt}variable {bf}q991{sf} was {bf}{res}str93{sf}{txt} now {bf}{res}str1{sf}
  {txt}variable {bf}q992{sf} was {bf}{res}str170{sf}{txt} now {bf}{res}str1{sf}
  {txt}variable {bf}q998{sf} was {bf}{res}str537{sf}{txt} now {bf}{res}str1{sf}
  {txt}variable {bf}q997{sf} was {bf}{res}str105{sf}{txt} now {bf}{res}str1{sf}
  {txt}variable {bf}q999{sf} was {bf}{res}str104{sf}{txt} now {bf}{res}str1{sf}
  {txt}variable {bf}q1000{sf} was {bf}{res}str95{sf}{txt} now {bf}{res}str1{sf}
  {txt}variable {bf}q1001{sf} was {bf}{res}str170{sf}{txt} now {bf}{res}str1{sf}
  {txt}variable {bf}q977{sf} was {bf}{res}str502{sf}{txt} now {bf}{res}str23{sf}
{txt}  (46,101 bytes saved)

{com}.         
.         * Donate_d
.         
.         gen donate_d = 0
{txt}
{com}.         replace donate_d = 1 if method_pay_bank_in_q == "I prefer to donate"
{txt}(3 real changes made)

{com}.         
.         * Special case
.         replace donate_d = 1 if responseid == "R_4ouc7tR6BFj3gpb" // respondent is refusing to take money in comments
{txt}(1 real change made)

{com}.         replace donate_d = 1 if responseid == "R_4Iow7YzsoT2KTOx" // respondent is writing cancel in comments
{txt}(1 real change made)

{com}.         
.         lab var donate_d "Respondent decided to donate"
{txt}
{com}.         lab def donate_d 0 "No" 1 "Yes"
{txt}
{com}.         lab val donate_d donate_d
{txt}
{com}.         order donate_d, after(responseid)
{txt}
{com}.         
.         * Org
.         
.         gen org_donation_id = "" 
{txt}(11 missing values generated)

{com}.         replace org_donation_id = expert_donation_org if donate_d == 1
{txt}variable {bf}org_donation_id{sf} was {bf}{res}str1{sf}{txt} now {bf}{res}str23{sf}
{txt}(3 real changes made)

{com}.         replace org_donation_id = "No choice" if donate_d == 1 & org_donation_id == ""
{txt}(2 real changes made)

{com}.         
.         e

{txt}end of do-file


{com}. do "/var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//SD44938.000000"
{txt}
{com}. 
.         * Purpose: Importing data to run HFC
.         
.         * Setting up globals
.         
.         if "`c(username)'" == "fredericcochinard" {c -(}
.                 
.                 global import_folder "/Users/fredericcochinard/Dropbox/Expert survey/Data/0.survey_dataset/0.import"
.                 global output "/Users/fredericcochinard/Dropbox/Expert survey/Data/0.survey_dataset/1.output"
.                 
.                 {c )-}
{txt}
{com}.                 
.         if "`c(username)'" == "" {c -(}
.         
.                 
.                 {c )-}
{txt}
{com}.         
.         * Looking for renaming folder with problem
.         
.         local myfiles: dir "$import_folder" files "*.xlsx"
{txt}
{com}. 
.         foreach file of local myfiles {c -(}
{txt}  2{com}.                 
.                 local subfile = substr("`file'", 1, .)
{txt}  3{com}.                 local subfile : subinstr local subfile " " "_", all
{txt}  4{com}.                 ! mv "${c -(}import_folder{c )-}/`file'" "${c -(}import_folder{c )-}/`subfile'"
{txt}  5{com}.                 
.                 {c )-}
{txt}

{com}.         
.         * Looking for dataset
.         
.         filelist , dir("$import_folder") pat("*.xlsx")
{res}{txt}Number of files found = {res}1
{txt}
{com}.         
.         gen url = filename
{txt}
{com}.         
.         levelsof url
{txt}`"Expert_survey_February_18,_2025_16.23.xlsx"'

{com}. 
.         local lvlfiles `r(levels)'
{txt}
{com}.         
.         local z = 0
{txt}
{com}.         
.         foreach lvl of local lvlfiles {c -(}
{txt}  2{com}.         
.                 local z = `z' + 1
{txt}  3{com}.                 
.                 local temp : subinstr local lvl `"""' "", all
{txt}  4{com}.                 local url : subinstr local temp "'" "", all
{txt}  5{com}.         
.                 import excel "${c -(}import_folder{c )-}/`url'", first case(lower) clear
{txt}  6{com}.                 
.                 gen num = _n
{txt}  7{com}.                 drop if num == 1
{txt}  8{com}.                 
.                 * Preparing the append
.                 
.                 tempfile data`z'
{txt}  9{com}.                 sa "`data`z''"
{txt} 10{com}.                 
.                 {c )-}
{res}{txt}(1 observation deleted)
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.000001 saved

{com}.                 
.         * We append the dataset to start cleaning
.         
.         use "`data1'", clear
{txt}
{com}.         
.         forvalues x = 2/`z' {c -(}
{txt}  2{com}.         
.                 append using "`data`x''"
{txt}  3{com}.                 
.                 {c )-}
{txt}
{com}.                 
.         duplicates drop

{p 0 4}{txt}Duplicates in terms of {txt} all variables{p_end}

(0 observations are duplicates)

{com}.         
.         * We keep relevant variable
.         drop if recipientemail == "frederic.cochinard@gmail.com"
{txt}(8 observations deleted)

{com}.         drop if recipientemail == "vedpant+spanish@college.harvard.edu"
{txt}(1 observation deleted)

{com}.         drop if recipientemail == "frederic.cochinard+3@gmail.com"
{txt}(1 observation deleted)

{com}.         drop if recipientemail == "frederic.cochinard+1@gmail.com"
{txt}(1 observation deleted)

{com}.         
.         * We remove observation that are not finished
.         drop if finished == "False"
{txt}(9 observations deleted)

{com}.         
.         * We create a save
.         
.         tempfile save_data
{txt}
{com}.         sa "`save_data'"
{txt}file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.000002 saved

{com}.         
.         * Payment module
.         
.         keep responseid method_pay_bank_in_q-q977
{txt}
{com}.         compress
  {txt}variable {bf}method_pay_bank_in_q{sf} was {bf}{res}str237{sf}{txt} now {bf}{res}str24{sf}
  {txt}variable {bf}expert_donation_org{sf} was {bf}{res}str129{sf}{txt} now {bf}{res}str23{sf}
  {txt}variable {bf}q967{sf} was {bf}{res}str236{sf}{txt} now {bf}{res}str65{sf}
  {txt}variable {bf}q978{sf} was {bf}{res}str326{sf}{txt} now {bf}{res}str16{sf}
  {txt}variable {bf}q979{sf} was {bf}{res}str104{sf}{txt} now {bf}{res}str39{sf}
  {txt}variable {bf}q980{sf} was {bf}{res}str95{sf}{txt} now {bf}{res}str11{sf}
  {txt}variable {bf}q987{sf} was {bf}{res}str170{sf}{txt} now {bf}{res}str24{sf}
  {txt}variable {bf}q984{sf} was {bf}{res}str326{sf}{txt} now {bf}{res}str1{sf}
  {txt}variable {bf}q985{sf} was {bf}{res}str104{sf}{txt} now {bf}{res}str1{sf}
  {txt}variable {bf}q986{sf} was {bf}{res}str95{sf}{txt} now {bf}{res}str1{sf}
  {txt}variable {bf}q988{sf} was {bf}{res}str170{sf}{txt} now {bf}{res}str1{sf}
  {txt}variable {bf}q989{sf} was {bf}{res}str559{sf}{txt} now {bf}{res}str1{sf}
  {txt}variable {bf}q990{sf} was {bf}{res}str102{sf}{txt} now {bf}{res}str1{sf}
  {txt}variable {bf}q991{sf} was {bf}{res}str93{sf}{txt} now {bf}{res}str1{sf}
  {txt}variable {bf}q992{sf} was {bf}{res}str170{sf}{txt} now {bf}{res}str1{sf}
  {txt}variable {bf}q998{sf} was {bf}{res}str537{sf}{txt} now {bf}{res}str1{sf}
  {txt}variable {bf}q997{sf} was {bf}{res}str105{sf}{txt} now {bf}{res}str1{sf}
  {txt}variable {bf}q999{sf} was {bf}{res}str104{sf}{txt} now {bf}{res}str1{sf}
  {txt}variable {bf}q1000{sf} was {bf}{res}str95{sf}{txt} now {bf}{res}str1{sf}
  {txt}variable {bf}q1001{sf} was {bf}{res}str170{sf}{txt} now {bf}{res}str1{sf}
  {txt}variable {bf}q977{sf} was {bf}{res}str502{sf}{txt} now {bf}{res}str23{sf}
{txt}  (46,101 bytes saved)

{com}.         
.         * Donate_d
.         
.         gen donate_d = 0
{txt}
{com}.         replace donate_d = 1 if method_pay_bank_in_q == "I prefer to donate"
{txt}(3 real changes made)

{com}.         
.         * Special case
.         replace donate_d = 1 if responseid == "R_4ouc7tR6BFj3gpb" // respondent is refusing to take money in comments
{txt}(1 real change made)

{com}.         replace donate_d = 1 if responseid == "R_4Iow7YzsoT2KTOx" // respondent is writing cancel in comments
{txt}(1 real change made)

{com}.         
.         lab var donate_d "Respondent decided to donate"
{txt}
{com}.         lab def donate_d 0 "No" 1 "Yes"
{txt}
{com}.         lab val donate_d donate_d
{txt}
{com}.         order donate_d, after(responseid)
{txt}
{com}.         
.         * Org
.         
.         gen org_donation_id = "" 
{txt}(11 missing values generated)

{com}.         replace org_donation_id = expert_donation_org if donate_d == 1
{txt}variable {bf}org_donation_id{sf} was {bf}{res}str1{sf}{txt} now {bf}{res}str23{sf}
{txt}(3 real changes made)

{com}.         replace org_donation_id = "No choice" if donate_d == 1 & org_donation_id == ""
{txt}(2 real changes made)

{com}.         
.         e

{txt}end of do-file


{com}. do "/var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//SD44938.000000"
{txt}
{com}. 
.         * Purpose: Importing data to run HFC
.         
.         * Setting up globals
.         
.         if "`c(username)'" == "fredericcochinard" {c -(}
.                 
.                 global import_folder "/Users/fredericcochinard/Dropbox/Expert survey/Data/0.survey_dataset/0.import"
.                 global output "/Users/fredericcochinard/Dropbox/Expert survey/Data/0.survey_dataset/1.output"
.                 
.                 {c )-}
{txt}
{com}.                 
.         if "`c(username)'" == "" {c -(}
.         
.                 
.                 {c )-}
{txt}
{com}.         
.         * Looking for renaming folder with problem
.         
.         local myfiles: dir "$import_folder" files "*.xlsx"
{txt}
{com}. 
.         foreach file of local myfiles {c -(}
{txt}  2{com}.                 
.                 local subfile = substr("`file'", 1, .)
{txt}  3{com}.                 local subfile : subinstr local subfile " " "_", all
{txt}  4{com}.                 ! mv "${c -(}import_folder{c )-}/`file'" "${c -(}import_folder{c )-}/`subfile'"
{txt}  5{com}.                 
.                 {c )-}
{txt}

{com}.         
.         * Looking for dataset
.         
.         filelist , dir("$import_folder") pat("*.xlsx")
{res}{txt}Number of files found = {res}1
{txt}
{com}.         
.         gen url = filename
{txt}
{com}.         
.         levelsof url
{txt}`"Expert_survey_February_18,_2025_16.23.xlsx"'

{com}. 
.         local lvlfiles `r(levels)'
{txt}
{com}.         
.         local z = 0
{txt}
{com}.         
.         foreach lvl of local lvlfiles {c -(}
{txt}  2{com}.         
.                 local z = `z' + 1
{txt}  3{com}.                 
.                 local temp : subinstr local lvl `"""' "", all
{txt}  4{com}.                 local url : subinstr local temp "'" "", all
{txt}  5{com}.         
.                 import excel "${c -(}import_folder{c )-}/`url'", first case(lower) clear
{txt}  6{com}.                 
.                 gen num = _n
{txt}  7{com}.                 drop if num == 1
{txt}  8{com}.                 
.                 * Preparing the append
.                 
.                 tempfile data`z'
{txt}  9{com}.                 sa "`data`z''"
{txt} 10{com}.                 
.                 {c )-}
{res}{txt}(1 observation deleted)
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.000001 saved

{com}.                 
.         * We append the dataset to start cleaning
.         
.         use "`data1'", clear
{txt}
{com}.         
.         forvalues x = 2/`z' {c -(}
{txt}  2{com}.         
.                 append using "`data`x''"
{txt}  3{com}.                 
.                 {c )-}
{txt}
{com}.                 
.         duplicates drop

{p 0 4}{txt}Duplicates in terms of {txt} all variables{p_end}

(0 observations are duplicates)

{com}.         
.         * We keep relevant variable
.         drop if recipientemail == "frederic.cochinard@gmail.com"
{txt}(8 observations deleted)

{com}.         drop if recipientemail == "vedpant+spanish@college.harvard.edu"
{txt}(1 observation deleted)

{com}.         drop if recipientemail == "frederic.cochinard+3@gmail.com"
{txt}(1 observation deleted)

{com}.         drop if recipientemail == "frederic.cochinard+1@gmail.com"
{txt}(1 observation deleted)

{com}.         
.         * We remove observation that are not finished
.         drop if finished == "False"
{txt}(9 observations deleted)

{com}.         
.         * We create a save
.         
.         tempfile save_data
{txt}
{com}.         sa "`save_data'"
{txt}file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.000002 saved

{com}.         
.         ******************
.         * Payment module *
.         ******************
.         
.         preserve
{txt}
{com}.         
.         keep responseid method_pay_bank_in_q-q977
{txt}
{com}.         compress
  {txt}variable {bf}method_pay_bank_in_q{sf} was {bf}{res}str237{sf}{txt} now {bf}{res}str24{sf}
  {txt}variable {bf}expert_donation_org{sf} was {bf}{res}str129{sf}{txt} now {bf}{res}str23{sf}
  {txt}variable {bf}q967{sf} was {bf}{res}str236{sf}{txt} now {bf}{res}str65{sf}
  {txt}variable {bf}q978{sf} was {bf}{res}str326{sf}{txt} now {bf}{res}str16{sf}
  {txt}variable {bf}q979{sf} was {bf}{res}str104{sf}{txt} now {bf}{res}str39{sf}
  {txt}variable {bf}q980{sf} was {bf}{res}str95{sf}{txt} now {bf}{res}str11{sf}
  {txt}variable {bf}q987{sf} was {bf}{res}str170{sf}{txt} now {bf}{res}str24{sf}
  {txt}variable {bf}q984{sf} was {bf}{res}str326{sf}{txt} now {bf}{res}str1{sf}
  {txt}variable {bf}q985{sf} was {bf}{res}str104{sf}{txt} now {bf}{res}str1{sf}
  {txt}variable {bf}q986{sf} was {bf}{res}str95{sf}{txt} now {bf}{res}str1{sf}
  {txt}variable {bf}q988{sf} was {bf}{res}str170{sf}{txt} now {bf}{res}str1{sf}
  {txt}variable {bf}q989{sf} was {bf}{res}str559{sf}{txt} now {bf}{res}str1{sf}
  {txt}variable {bf}q990{sf} was {bf}{res}str102{sf}{txt} now {bf}{res}str1{sf}
  {txt}variable {bf}q991{sf} was {bf}{res}str93{sf}{txt} now {bf}{res}str1{sf}
  {txt}variable {bf}q992{sf} was {bf}{res}str170{sf}{txt} now {bf}{res}str1{sf}
  {txt}variable {bf}q998{sf} was {bf}{res}str537{sf}{txt} now {bf}{res}str1{sf}
  {txt}variable {bf}q997{sf} was {bf}{res}str105{sf}{txt} now {bf}{res}str1{sf}
  {txt}variable {bf}q999{sf} was {bf}{res}str104{sf}{txt} now {bf}{res}str1{sf}
  {txt}variable {bf}q1000{sf} was {bf}{res}str95{sf}{txt} now {bf}{res}str1{sf}
  {txt}variable {bf}q1001{sf} was {bf}{res}str170{sf}{txt} now {bf}{res}str1{sf}
  {txt}variable {bf}q977{sf} was {bf}{res}str502{sf}{txt} now {bf}{res}str23{sf}
{txt}  (46,101 bytes saved)

{com}.         
.         * Donate_d
.         
.         gen donate_d = 0
{txt}
{com}.         replace donate_d = 1 if method_pay_bank_in_q == "I prefer to donate"
{txt}(3 real changes made)

{com}.         
.         * Special case
.         replace donate_d = 1 if responseid == "R_4ouc7tR6BFj3gpb" // respondent is refusing to take money in comments
{txt}(1 real change made)

{com}.         replace donate_d = 1 if responseid == "R_4Iow7YzsoT2KTOx" // respondent is writing cancel in comments
{txt}(1 real change made)

{com}.         
.         lab var donate_d "Respondent decided to donate"
{txt}
{com}.         lab def donate_d 0 "No" 1 "Yes"
{txt}
{com}.         lab val donate_d donate_d
{txt}
{com}.         order donate_d, after(responseid)
{txt}
{com}.         
.         * Org
.         
.         gen org_donation_id = "" 
{txt}(11 missing values generated)

{com}.         replace org_donation_id = expert_donation_org if donate_d == 1
{txt}variable {bf}org_donation_id{sf} was {bf}{res}str1{sf}{txt} now {bf}{res}str23{sf}
{txt}(3 real changes made)

{com}.         replace org_donation_id = "No choice" if donate_d == 1 & org_donation_id == ""
{txt}(2 real changes made)

{com}.         lab var org_donation_id "Name of the organization the respondent chose to donate"
{txt}
{com}.         order org_donation_id, after(donate_d)
{txt}
{com}.         
.         * Paid status
.         
.         gen paid_status = 0
{txt}
{com}.         replace paid_status = 2 if donate_d == 1
{txt}(5 real changes made)

{com}.         
.         * Case of payment
.         
.         lab var paid_status "Status of payment of the respondent"
{txt}
{com}.         lab def paid_status 0 "Not yet" 1 "Yes" 2 "Donation"
{txt}
{com}.         lab val paid_status paid_status
{txt}
{com}.         order paid_status, after(org_donation_id)
{txt}
{com}.         
.         keep reponseid donate_d org_donation_id paid_status
{err}variable {bf}reponseid{sf} not found
{txt}{search r(111), local:r(111);}

end of do-file

{search r(111), local:r(111);}

{com}. do "/var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//SD44938.000000"
{txt}
{com}. 
.         * Purpose: Importing data to run HFC
.         
.         * Setting up globals
.         
.         if "`c(username)'" == "fredericcochinard" {c -(}
.                 
.                 global import_folder "/Users/fredericcochinard/Dropbox/Expert survey/Data/0.survey_dataset/0.import"
.                 global output "/Users/fredericcochinard/Dropbox/Expert survey/Data/0.survey_dataset/1.output"
.                 
.                 {c )-}
{txt}
{com}.                 
.         if "`c(username)'" == "" {c -(}
.         
.                 
.                 {c )-}
{txt}
{com}.         
.         * Looking for renaming folder with problem
.         
.         local myfiles: dir "$import_folder" files "*.xlsx"
{txt}
{com}. 
.         foreach file of local myfiles {c -(}
{txt}  2{com}.                 
.                 local subfile = substr("`file'", 1, .)
{txt}  3{com}.                 local subfile : subinstr local subfile " " "_", all
{txt}  4{com}.                 ! mv "${c -(}import_folder{c )-}/`file'" "${c -(}import_folder{c )-}/`subfile'"
{txt}  5{com}.                 
.                 {c )-}
{txt}

{com}.         
.         * Looking for dataset
.         
.         filelist , dir("$import_folder") pat("*.xlsx")
{res}{txt}Number of files found = {res}1
{txt}
{com}.         
.         gen url = filename
{txt}
{com}.         
.         levelsof url
{txt}`"Expert_survey_February_18,_2025_16.23.xlsx"'

{com}. 
.         local lvlfiles `r(levels)'
{txt}
{com}.         
.         local z = 0
{txt}
{com}.         
.         foreach lvl of local lvlfiles {c -(}
{txt}  2{com}.         
.                 local z = `z' + 1
{txt}  3{com}.                 
.                 local temp : subinstr local lvl `"""' "", all
{txt}  4{com}.                 local url : subinstr local temp "'" "", all
{txt}  5{com}.         
.                 import excel "${c -(}import_folder{c )-}/`url'", first case(lower) clear
{txt}  6{com}.                 
.                 gen num = _n
{txt}  7{com}.                 drop if num == 1
{txt}  8{com}.                 
.                 * Preparing the append
.                 
.                 tempfile data`z'
{txt}  9{com}.                 sa "`data`z''"
{txt} 10{com}.                 
.                 {c )-}
{res}{txt}(1 observation deleted)
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.000001 saved

{com}.                 
.         * We append the dataset to start cleaning
.         
.         use "`data1'", clear
{txt}
{com}.         
.         forvalues x = 2/`z' {c -(}
{txt}  2{com}.         
.                 append using "`data`x''"
{txt}  3{com}.                 
.                 {c )-}
{txt}
{com}.                 
.         duplicates drop

{p 0 4}{txt}Duplicates in terms of {txt} all variables{p_end}

(0 observations are duplicates)

{com}.         
.         * We keep relevant variable
.         drop if recipientemail == "frederic.cochinard@gmail.com"
{txt}(8 observations deleted)

{com}.         drop if recipientemail == "vedpant+spanish@college.harvard.edu"
{txt}(1 observation deleted)

{com}.         drop if recipientemail == "frederic.cochinard+3@gmail.com"
{txt}(1 observation deleted)

{com}.         drop if recipientemail == "frederic.cochinard+1@gmail.com"
{txt}(1 observation deleted)

{com}.         
.         * We remove observation that are not finished
.         drop if finished == "False"
{txt}(9 observations deleted)

{com}.         
.         * We create a save
.         
.         tempfile save_data
{txt}
{com}.         sa "`save_data'"
{txt}file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.000002 saved

{com}.         
.         ******************
.         * Payment module *
.         ******************
.         
.         preserve
{txt}
{com}.         
.         keep responseid method_pay_bank_in_q-q977
{txt}
{com}.         compress
  {txt}variable {bf}method_pay_bank_in_q{sf} was {bf}{res}str237{sf}{txt} now {bf}{res}str24{sf}
  {txt}variable {bf}expert_donation_org{sf} was {bf}{res}str129{sf}{txt} now {bf}{res}str23{sf}
  {txt}variable {bf}q967{sf} was {bf}{res}str236{sf}{txt} now {bf}{res}str65{sf}
  {txt}variable {bf}q978{sf} was {bf}{res}str326{sf}{txt} now {bf}{res}str16{sf}
  {txt}variable {bf}q979{sf} was {bf}{res}str104{sf}{txt} now {bf}{res}str39{sf}
  {txt}variable {bf}q980{sf} was {bf}{res}str95{sf}{txt} now {bf}{res}str11{sf}
  {txt}variable {bf}q987{sf} was {bf}{res}str170{sf}{txt} now {bf}{res}str24{sf}
  {txt}variable {bf}q984{sf} was {bf}{res}str326{sf}{txt} now {bf}{res}str1{sf}
  {txt}variable {bf}q985{sf} was {bf}{res}str104{sf}{txt} now {bf}{res}str1{sf}
  {txt}variable {bf}q986{sf} was {bf}{res}str95{sf}{txt} now {bf}{res}str1{sf}
  {txt}variable {bf}q988{sf} was {bf}{res}str170{sf}{txt} now {bf}{res}str1{sf}
  {txt}variable {bf}q989{sf} was {bf}{res}str559{sf}{txt} now {bf}{res}str1{sf}
  {txt}variable {bf}q990{sf} was {bf}{res}str102{sf}{txt} now {bf}{res}str1{sf}
  {txt}variable {bf}q991{sf} was {bf}{res}str93{sf}{txt} now {bf}{res}str1{sf}
  {txt}variable {bf}q992{sf} was {bf}{res}str170{sf}{txt} now {bf}{res}str1{sf}
  {txt}variable {bf}q998{sf} was {bf}{res}str537{sf}{txt} now {bf}{res}str1{sf}
  {txt}variable {bf}q997{sf} was {bf}{res}str105{sf}{txt} now {bf}{res}str1{sf}
  {txt}variable {bf}q999{sf} was {bf}{res}str104{sf}{txt} now {bf}{res}str1{sf}
  {txt}variable {bf}q1000{sf} was {bf}{res}str95{sf}{txt} now {bf}{res}str1{sf}
  {txt}variable {bf}q1001{sf} was {bf}{res}str170{sf}{txt} now {bf}{res}str1{sf}
  {txt}variable {bf}q977{sf} was {bf}{res}str502{sf}{txt} now {bf}{res}str23{sf}
{txt}  (46,101 bytes saved)

{com}.         
.         * Donate_d
.         
.         gen donate_d = 0
{txt}
{com}.         replace donate_d = 1 if method_pay_bank_in_q == "I prefer to donate"
{txt}(3 real changes made)

{com}.         
.         * Special case
.         replace donate_d = 1 if responseid == "R_4ouc7tR6BFj3gpb" // respondent is refusing to take money in comments
{txt}(1 real change made)

{com}.         replace donate_d = 1 if responseid == "R_4Iow7YzsoT2KTOx" // respondent is writing cancel in comments
{txt}(1 real change made)

{com}.         
.         lab var donate_d "Respondent decided to donate"
{txt}
{com}.         lab def donate_d 0 "No" 1 "Yes"
{txt}
{com}.         lab val donate_d donate_d
{txt}
{com}.         order donate_d, after(responseid)
{txt}
{com}.         
.         * Org
.         
.         gen org_donation_id = "" 
{txt}(11 missing values generated)

{com}.         replace org_donation_id = expert_donation_org if donate_d == 1
{txt}variable {bf}org_donation_id{sf} was {bf}{res}str1{sf}{txt} now {bf}{res}str23{sf}
{txt}(3 real changes made)

{com}.         replace org_donation_id = "No choice" if donate_d == 1 & org_donation_id == ""
{txt}(2 real changes made)

{com}.         lab var org_donation_id "Name of the organization the respondent chose to donate"
{txt}
{com}.         order org_donation_id, after(donate_d)
{txt}
{com}.         
.         * Paid status
.         
.         gen paid_status = 0
{txt}
{com}.         replace paid_status = 2 if donate_d == 1
{txt}(5 real changes made)

{com}.         
.         * Case of payment
.         
.         lab var paid_status "Status of payment of the respondent"
{txt}
{com}.         lab def paid_status 0 "Not yet" 1 "Yes" 2 "Donation"
{txt}
{com}.         lab val paid_status paid_status
{txt}
{com}.         order paid_status, after(org_donation_id)
{txt}
{com}.         
.         keep responseid donate_d org_donation_id paid_status
{txt}
{com}.         
.         tempfile payment_module
{txt}
{com}.         sa "`payment_module'"
{txt}file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.000004 saved

{com}.         
.         restore
{txt}
{com}.         
.         * Main form of survey 
.         keep country full_name recipientemail responseid progress durationinseconds finished userlanguage num_unit confirmation_* ///
>         title_bur* elecpol_ovrsee* title_elecpol* aptpol_d* title_aptpol* who_aptpol* mostinf_servdel* educ_elecpolbur* ///
>         educ_apolbur* slry_elecpolbur* slry_apolbur* fdout_epol_bgt* fdout_apol_bgt* budsect_epol* budsect_apol* acinfexp_epol* /// 
>         acinfexp_apol* understand_epol* understand_apol* acttake_epol* acttake_epol* acttake_apol* acttake_apol* likely* why_likchan* /// 
>         who_apt_bur* who_apt_bur* who_fir_bur* who_fir_bur* ocap_epol* ocap_apol* prio_epol* prio_apol* overall_conf* avg_educ_epol* ///
>         avg_educ_apol* avg_educ_buro* avg_slry_epol* avg_slry_apol* avg_slry_buro* //
{txt}
{com}.         
.         destring durationinseconds progress, replace
{txt}durationinseconds: all characters numeric; {res}replaced {txt}as {res}int
{txt}progress: all characters numeric; {res}replaced {txt}as {res}byte
{txt}
{com}.         replace durationinseconds = round(durationinseconds/60)
{txt}(11 real changes made)

{com}.         ren durationinseconds duration_minutes
{res}{txt}
{com}. 
.         *--
.         
.         local id country full_name recipientemail responseid userlanguage num_unit finished progress duration_minutes
{txt}
{com}.         
.         order `id', first
{txt}
{com}.         duplicates drop `id', force

{p 0 4}{txt}Duplicates in terms of {res} country full_name recipientemail responseid userlanguage num_unit finished progress duration_minutes{p_end}

{txt}(0 observations are duplicates)

{com}.         
.         * Renaming others
.         
.         forvalues x = 1/3 {c -(}
{txt}  2{com}.                 
.                 forvalues y = 1/6 {c -(} 
{txt}  3{com}.                 
.                         cap ren who_apt_bur_`x'_`y'_8_text who_apt_buroth_`x'_`y'
{txt}  4{com}.                         cap ren who_fir_bur_`x'_`y'_8_text who_fir_buroth_`x'_`y'
{txt}  5{com}.                         cap ren acttake_epol_`x'_`y'_9_text acttake_epoloth_`x'_`y'
{txt}  6{com}.                         cap ren acttake_apol_`x'_`y'_9_text acttake_apoloth_`x'_`y'
{txt}  7{com}.                         
.                         {c )-}
{txt}  8{com}.                         
.                 {c )-}
{txt}
{com}.         
.         #delimit ;
{txt}delimiter now ;
{com}.         local var confirmation
>         title_bur 
>         elecpol_ovrsee
>         title_elecpol
>         aptpol_d
>         title_aptpol
>         who_aptpol
>         mostinf_servdel
>         educ_elecpolbur
>         educ_apolbur
>         slry_elecpolbur
>         slry_apolbur
>         fdout_epol_bgt
>         fdout_apol_bgt
>         budsect_epol
>         budsect_apol
>         acinfexp_epol
>         acinfexp_apol
>         understand_epol
>         understand_apol
>         acttake_epol
>         acttake_epoloth
>         acttake_apol
>         acttake_apoloth
>         likely
>         why_likchan
>         who_apt_bur
>         who_apt_buroth
>         who_fir_bur
>         who_fir_buroth
>         ocap_epol
>         ocap_apol
>         prio_epol
>         prio_apol
>         overall_conf
>         avg_educ_epol
>         avg_educ_apol
>         avg_educ_buro
>         avg_slry_epol
>         avg_slry_apol
>         avg_slry_buro
>         
>         ;
{txt}
{com}.                 #delimit cr
{txt}delimiter now cr
{com}. 
.         reshape long `var', i(`id') j(pos) s
{txt}(note: j = _1_1 _1_4 _1_5 _1_6 _2_1 _2_2 _2_4 _2_5 _2_6 _3_1 _3_2 _3_3 _3_4 _3_5 _3_6)
(note: confirmation_1_4 not found)
(note: confirmation_1_5 not found)
(note: confirmation_1_6 not found)
(note: confirmation_2_4 not found)
(note: confirmation_2_5 not found)
(note: confirmation_2_6 not found)
(note: confirmation_3_4 not found)
(note: confirmation_3_5 not found)
(note: confirmation_3_6 not found)

Data{col 36}wide{col 43}->{col 48}long
{hline 77}
Number of obs.                 {res}      11   {txt}->{res}     165
{txt}Number of variables            {res}     615   {txt}->{res}      51
{txt}j variable (15 values)                    ->   {res}pos
{txt}xij variables:
{res}confirmation_1_1 confirmation_1_4 ... confirmation_3_6{txt}->{res}confirmation
title_bur_1_1 title_bur_1_4 ... title_bur_3_6{txt}->{res}title_bur
elecpol_ovrsee_1_1 elecpol_ovrsee_1_4 ... elecpol_ovrsee_3_6{txt}->{res}elecpol_ovrsee
title_elecpol_1_1 title_elecpol_1_4 ... title_elecpol_3_6{txt}->{res}title_elecpol
aptpol_d_1_1 aptpol_d_1_4 ... aptpol_d_3_6{txt}->   {res}aptpol_d
title_aptpol_1_1 title_aptpol_1_4 ... title_aptpol_3_6{txt}->{res}title_aptpol
who_aptpol_1_1 who_aptpol_1_4 ... who_aptpol_3_6{txt}->{res}who_aptpol
mostinf_servdel_1_1 mostinf_servdel_1_4 ... mostinf_servdel_3_6{txt}->{res}mostinf_servdel
educ_elecpolbur_1_1 educ_elecpolbur_1_4 ... educ_elecpolbur_3_6{txt}->{res}educ_elecpolbur
educ_apolbur_1_1 educ_apolbur_1_4 ... educ_apolbur_3_6{txt}->{res}educ_apolbur
slry_elecpolbur_1_1 slry_elecpolbur_1_4 ... slry_elecpolbur_3_6{txt}->{res}slry_elecpolbur
slry_apolbur_1_1 slry_apolbur_1_4 ... slry_apolbur_3_6{txt}->{res}slry_apolbur
fdout_epol_bgt_1_1 fdout_epol_bgt_1_4 ... fdout_epol_bgt_3_6{txt}->{res}fdout_epol_bgt
fdout_apol_bgt_1_1 fdout_apol_bgt_1_4 ... fdout_apol_bgt_3_6{txt}->{res}fdout_apol_bgt
budsect_epol_1_1 budsect_epol_1_4 ... budsect_epol_3_6{txt}->{res}budsect_epol
budsect_apol_1_1 budsect_apol_1_4 ... budsect_apol_3_6{txt}->{res}budsect_apol
acinfexp_epol_1_1 acinfexp_epol_1_4 ... acinfexp_epol_3_6{txt}->{res}acinfexp_epol
acinfexp_apol_1_1 acinfexp_apol_1_4 ... acinfexp_apol_3_6{txt}->{res}acinfexp_apol
understand_epol_1_1 understand_epol_1_4 ... understand_epol_3_6{txt}->{res}understand_epol
understand_apol_1_1 understand_apol_1_4 ... understand_apol_3_6{txt}->{res}understand_apol
acttake_epol_1_1 acttake_epol_1_4 ... acttake_epol_3_6{txt}->{res}acttake_epol
acttake_epoloth_1_1 acttake_epoloth_1_4 ... acttake_epoloth_3_6{txt}->{res}acttake_epoloth
acttake_apol_1_1 acttake_apol_1_4 ... acttake_apol_3_6{txt}->{res}acttake_apol
acttake_apoloth_1_1 acttake_apoloth_1_4 ... acttake_apoloth_3_6{txt}->{res}acttake_apoloth
   likely_1_1 likely_1_4 ... likely_3_6   {txt}->   {res}likely
why_likchan_1_1 why_likchan_1_4 ... why_likchan_3_6{txt}->{res}why_likchan
who_apt_bur_1_1 who_apt_bur_1_4 ... who_apt_bur_3_6{txt}->{res}who_apt_bur
who_apt_buroth_1_1 who_apt_buroth_1_4 ... who_apt_buroth_3_6{txt}->{res}who_apt_buroth
who_fir_bur_1_1 who_fir_bur_1_4 ... who_fir_bur_3_6{txt}->{res}who_fir_bur
who_fir_buroth_1_1 who_fir_buroth_1_4 ... who_fir_buroth_3_6{txt}->{res}who_fir_buroth
ocap_epol_1_1 ocap_epol_1_4 ... ocap_epol_3_6{txt}->{res}ocap_epol
ocap_apol_1_1 ocap_apol_1_4 ... ocap_apol_3_6{txt}->{res}ocap_apol
prio_epol_1_1 prio_epol_1_4 ... prio_epol_3_6{txt}->{res}prio_epol
prio_apol_1_1 prio_apol_1_4 ... prio_apol_3_6{txt}->{res}prio_apol
overall_conf_1_1 overall_conf_1_4 ... overall_conf_3_6{txt}->{res}overall_conf
avg_educ_epol_1_1 avg_educ_epol_1_4 ... avg_educ_epol_3_6{txt}->{res}avg_educ_epol
avg_educ_apol_1_1 avg_educ_apol_1_4 ... avg_educ_apol_3_6{txt}->{res}avg_educ_apol
avg_educ_buro_1_1 avg_educ_buro_1_4 ... avg_educ_buro_3_6{txt}->{res}avg_educ_buro
avg_slry_epol_1_1 avg_slry_epol_1_4 ... avg_slry_epol_3_6{txt}->{res}avg_slry_epol
avg_slry_apol_1_1 avg_slry_apol_1_4 ... avg_slry_apol_3_6{txt}->{res}avg_slry_apol
avg_slry_buro_1_1 avg_slry_buro_1_4 ... avg_slry_buro_3_6{txt}->{res}avg_slry_buro
{txt}{hline 77}

{com}.         
.         * Filter data
.         
.         split pos, p("_")
{res}variables created as string: 
{txt}{col 1}pos1{col 7}pos2{col 13}pos3

{com}.         
.         drop pos1
{txt}
{com}.         ren pos2 case_n_unit
{res}{txt}
{com}.         ren pos3 unit_num
{res}{txt}
{com}.         destring case_n_unit unit_num, replace
{txt}case_n_unit: all characters numeric; {res}replaced {txt}as {res}byte
{txt}unit_num: all characters numeric; {res}replaced {txt}as {res}byte
{txt}
{com}.         order case_n_unit unit_num, after(duration_minutes)
{txt}
{com}.         drop pos
{txt}
{com}.         
.         destring num_unit, replace
{txt}num_unit: all characters numeric; {res}replaced {txt}as {res}byte
{txt}
{com}.         drop if num_unit != case_n_unit
{txt}(104 observations deleted)

{com}.         drop num_unit
{txt}
{com}.         
.         compress
  {txt}variable {bf}country{sf} was {bf}{res}str15{sf}{txt} now {bf}{res}str11{sf}
  {txt}variable {bf}full_name{sf} was {bf}{res}str28{sf}{txt} now {bf}{res}str23{sf}
  {txt}variable {bf}recipientemail{sf} was {bf}{res}str35{sf}{txt} now {bf}{res}str32{sf}
  {txt}variable {bf}userlanguage{sf} was {bf}{res}str13{sf}{txt} now {bf}{res}str2{sf}
  {txt}variable {bf}finished{sf} was {bf}{res}str8{sf}{txt} now {bf}{res}str4{sf}
  {txt}variable {bf}title_bur{sf} was {bf}{res}str448{sf}{txt} now {bf}{res}str235{sf}
  {txt}variable {bf}elecpol_ovrsee{sf} was {bf}{res}str352{sf}{txt} now {bf}{res}str3{sf}
  {txt}variable {bf}title_elecpol{sf} was {bf}{res}str312{sf}{txt} now {bf}{res}str288{sf}
  {txt}variable {bf}aptpol_d{sf} was {bf}{res}str332{sf}{txt} now {bf}{res}str30{sf}
  {txt}variable {bf}who_aptpol{sf} was {bf}{res}str96{sf}{txt} now {bf}{res}str84{sf}
  {txt}variable {bf}mostinf_servdel{sf} was {bf}{res}str256{sf}{txt} now {bf}{res}str44{sf}
  {txt}variable {bf}educ_elecpolbur{sf} was {bf}{res}str258{sf}{txt} now {bf}{res}str51{sf}
  {txt}variable {bf}educ_apolbur{sf} was {bf}{res}str260{sf}{txt} now {bf}{res}str1{sf}
  {txt}variable {bf}slry_elecpolbur{sf} was {bf}{res}str316{sf}{txt} now {bf}{res}str47{sf}
  {txt}variable {bf}slry_apolbur{sf} was {bf}{res}str318{sf}{txt} now {bf}{res}str1{sf}
  {txt}variable {bf}fdout_epol_bgt{sf} was {bf}{res}str373{sf}{txt} now {bf}{res}str19{sf}
  {txt}variable {bf}fdout_apol_bgt{sf} was {bf}{res}str375{sf}{txt} now {bf}{res}str1{sf}
  {txt}variable {bf}budsect_epol{sf} was {bf}{res}str217{sf}{txt} now {bf}{res}str19{sf}
  {txt}variable {bf}budsect_apol{sf} was {bf}{res}str219{sf}{txt} now {bf}{res}str1{sf}
  {txt}variable {bf}acinfexp_epol{sf} was {bf}{res}str216{sf}{txt} now {bf}{res}str19{sf}
  {txt}variable {bf}acinfexp_apol{sf} was {bf}{res}str218{sf}{txt} now {bf}{res}str1{sf}
  {txt}variable {bf}understand_epol{sf} was {bf}{res}str214{sf}{txt} now {bf}{res}str21{sf}
  {txt}variable {bf}understand_apol{sf} was {bf}{res}str216{sf}{txt} now {bf}{res}str21{sf}
  {txt}variable {bf}acttake_epol{sf} was {bf}{res}str247{sf}{txt} now {bf}{res}str163{sf}
  {txt}variable {bf}acttake_epoloth{sf} was {bf}{res}str261{sf}{txt} now {bf}{res}str63{sf}
  {txt}variable {bf}acttake_apol{sf} was {bf}{res}str250{sf}{txt} now {bf}{res}str1{sf}
  {txt}variable {bf}acttake_apoloth{sf} was {bf}{res}str264{sf}{txt} now {bf}{res}str1{sf}
  {txt}variable {bf}likely{sf} was {bf}{res}str159{sf}{txt} now {bf}{res}str18{sf}
  {txt}variable {bf}who_apt_bur{sf} was {bf}{res}str126{sf}{txt} now {bf}{res}str64{sf}
  {txt}variable {bf}who_fir_bur{sf} was {bf}{res}str120{sf}{txt} now {bf}{res}str64{sf}
  {txt}variable {bf}who_fir_buroth{sf} was {bf}{res}str134{sf}{txt} now {bf}{res}str77{sf}
  {txt}variable {bf}ocap_epol{sf} was {bf}{res}str359{sf}{txt} now {bf}{res}str55{sf}
  {txt}variable {bf}ocap_apol{sf} was {bf}{res}str361{sf}{txt} now {bf}{res}str1{sf}
  {txt}variable {bf}prio_epol{sf} was {bf}{res}str209{sf}{txt} now {bf}{res}str73{sf}
  {txt}variable {bf}prio_apol{sf} was {bf}{res}str211{sf}{txt} now {bf}{res}str1{sf}
  {txt}variable {bf}overall_conf{sf} was {bf}{res}str191{sf}{txt} now {bf}{res}str17{sf}
  {txt}variable {bf}avg_educ_buro{sf} was {bf}{res}str117{sf}{txt} now {bf}{res}str101{sf}
  {txt}variable {bf}avg_slry_apol{sf} was {bf}{res}str134{sf}{txt} now {bf}{res}str128{sf}
  {txt}variable {bf}avg_slry_buro{sf} was {bf}{res}str134{sf}{txt} now {bf}{res}str87{sf}
  {txt}variable {bf}confirmation{sf} was {bf}{res}str1148{sf}{txt} now {bf}{res}str63{sf}
{txt}  (462,685 bytes saved)

{com}.         
.         * We edit the label 
.         
.         lab var country "Country"
{txt}
{com}.         lab var full_name  "Full name of recipient"
{txt}
{com}.         lab var recipientemail "Recipient email"
{txt}
{com}.         lab var userlanguage "Language used to answer"
{txt}
{com}.         lab var finished "Completion status"
{txt}
{com}.         lab var progress "Progress"
{txt}
{com}.         lab var duration_minutes "Duration in minutes"
{txt}
{com}.         lab var case_n_unit "Original number of entities"
{txt}
{com}.         lab var unit_num "Unit number"
{txt}
{com}.         
.         * Confirmation
.         
.         fre confirmation
{res}
{txt}confirmation
{txt}{hline 54}{hline 1}{c TT}{hline 44}
{txt}        {txt}                                               {c |}      Freq.    Percent      Valid       Cum.
{txt}{hline 54}{hline 1}{c +}{hline 44}
{txt}Valid   No, this is inaccurate. This level needs to be {c |}{res}          2       3.28       7.14       7.14
{txt}        replaced/deleted                               {c |}{res}                                            
{txt}        No, this level needs to be replaced/deleted    {c |}{res}          2       3.28       7.14      14.29
{txt}        Yes, this is accurate                          {c |}{res}         24      39.34      85.71     100.00
{txt}        Total                                          {c |}{res}         28      45.90     100.00           
{txt}Missing                                                {c |}{res}         33      54.10                      
{txt}Total                                                  {c |}{res}         61     100.00                      
{txt}{hline 54}{hline 1}{c BT}{hline 44}

{com}.         replace confirmation = "1" if confirmation == "Yes, this is accurate"
{txt}(24 real changes made)

{com}.         replace confirmation = "0" if regexm(confirmation,"No")
{txt}(4 real changes made)

{com}.         destring confirmation, replace
{txt}confirmation: all characters numeric; {res}replaced {txt}as {res}byte
{txt}(33 missing values generated)
{res}{txt}
{com}.         
.         lab var confirmation "Confirmation of adequacy of unit"
{txt}
{com}.         lab def confirmation 0 "No, this is not accurate. It should be replaced/deleted" 1 "Yes, this is accurate"
{txt}
{com}.         lab val confirmation confirmation
{txt}
{com}.         
.         fre confirmation
{res}
{txt}confirmation {hline 2} Confirmation of adequacy of unit
{txt}{hline 48}{hline 1}{c TT}{hline 44}
{txt}        {txt}                                         {c |}      Freq.    Percent      Valid       Cum.
{txt}{hline 48}{hline 1}{c +}{hline 44}
{txt}Valid   0 No, this is not accurate. It should be {c |}{res}          4       6.56      14.29      14.29
{txt}          replaced/deleted                       {c |}{res}                                            
{txt}        1 Yes, this is accurate                  {c |}{res}         24      39.34      85.71     100.00
{txt}        Total                                    {c |}{res}         28      45.90     100.00           
{txt}Missing .                                        {c |}{res}         33      54.10                      
{txt}Total                                            {c |}{res}         61     100.00                      
{txt}{hline 48}{hline 1}{c BT}{hline 44}

{com}.         
.         order confirmation, after(unit_num)
{txt}
{com}.         
.         * Creating variable about asked_survey (should be updated)
.         
.         gen asked_survey = 0
{txt}
{com}.         replace asked_survey = 1 if confirmation == 1
{txt}(24 real changes made)

{com}.         lab var asked_survey "Survey question asked to respondent"
{txt}
{com}.         lab def yesno 0 "No" 1 "Yes"
{txt}
{com}.         lab val asked_survey yesno
{txt}
{com}.         order asked_survey, after(confirmation)
{txt}
{com}.         
.         * title_bur
.         
.         lab var title_bur "Title of the highest-level bureaucrat in unit"
{txt}
{com}.         
.         gen test_title_bur = (title_bur != "")
{txt}
{com}.         replace test_title_bur = . if asked_survey == 0
{txt}(37 real changes made, 37 to missing)

{com}.         fre test_title_bur
{res}
{txt}test_title_bur
{txt}{hline 9}{hline 1}{c TT}{hline 44}
{txt}        {txt}  {c |}      Freq.    Percent      Valid       Cum.
{txt}{hline 9}{hline 1}{c +}{hline 44}
{txt}Valid   1 {c |}{res}         24      39.34     100.00     100.00
{txt}Missing . {c |}{res}         37      60.66                      
{txt}Total     {c |}{res}         61     100.00                      
{txt}{hline 9}{hline 1}{c BT}{hline 44}

{com}.         assert inlist(test_title_bur,.,1)
{txt}
{com}.         
.         drop test_title_bur
{txt}
{com}.         
.         * elecpol_ovrsee
.         
.         lab var elecpol_ovrsee "Any politicians in unit overseeing service delivery"
{txt}
{com}.         replace elecpol_ovrsee = "0" if elecpol_ovrsee == "No"
{txt}(2 real changes made)

{com}.         replace elecpol_ovrsee = "1" if elecpol_ovrsee == "Yes"
{txt}(23 real changes made)

{com}.         destring elecpol_ovrsee, replace
{txt}elecpol_ovrsee: all characters numeric; {res}replaced {txt}as {res}byte
{txt}(36 missing values generated)
{res}{txt}
{com}.         lab val elecpol_ovrsee yesno
{txt}
{com}.         
.         fre elecpol_ovrsee
{res}
{txt}elecpol_ovrsee {hline 2} Any politicians in unit overseeing service delivery
{txt}{hline 13}{hline 1}{c TT}{hline 44}
{txt}        {txt}      {c |}      Freq.    Percent      Valid       Cum.
{txt}{hline 13}{hline 1}{c +}{hline 44}
{txt}Valid   0 No  {c |}{res}          2       3.28       8.00       8.00
{txt}        1 Yes {c |}{res}         23      37.70      92.00     100.00
{txt}        Total {c |}{res}         25      40.98     100.00           
{txt}Missing .     {c |}{res}         36      59.02                      
{txt}Total         {c |}{res}         61     100.00                      
{txt}{hline 13}{hline 1}{c BT}{hline 44}

{com}.         
.         gen test_elecpol_ovrsee = (elecpol_ovrsee != .)
{txt}
{com}.         replace test_elecpol_ovrsee = . if asked_survey == 0
{txt}(37 real changes made, 37 to missing)

{com}.         fre test_elecpol_ovrsee
{res}
{txt}test_elecpol_ovrsee
{txt}{hline 9}{hline 1}{c TT}{hline 44}
{txt}        {txt}  {c |}      Freq.    Percent      Valid       Cum.
{txt}{hline 9}{hline 1}{c +}{hline 44}
{txt}Valid   1 {c |}{res}         24      39.34     100.00     100.00
{txt}Missing . {c |}{res}         37      60.66                      
{txt}Total     {c |}{res}         61     100.00                      
{txt}{hline 9}{hline 1}{c BT}{hline 44}

{com}.         assert inlist(test_elecpol_ovrsee,.,1)
{txt}
{com}.         
.         drop test_elecpol_ovrsee
{txt}
{com}.         
.         * title_elecpol
.         
.         lab var title_elecpol "Title of the highest-level elected politician in unit"
{txt}
{com}.         
.         gen test_title_elecpol = (title_elecpol != "")
{txt}
{com}.         replace test_title_elecpol = . if asked_survey == 0
{txt}(37 real changes made, 37 to missing)

{com}.         replace test_title_elecpol = . if elecpol_ovrsee == 0
{txt}(1 real change made, 1 to missing)

{com}.         fre test_title_elecpol
{res}
{txt}test_title_elecpol
{txt}{hline 9}{hline 1}{c TT}{hline 44}
{txt}        {txt}  {c |}      Freq.    Percent      Valid       Cum.
{txt}{hline 9}{hline 1}{c +}{hline 44}
{txt}Valid   1 {c |}{res}         23      37.70     100.00     100.00
{txt}Missing . {c |}{res}         38      62.30                      
{txt}Total     {c |}{res}         61     100.00                      
{txt}{hline 9}{hline 1}{c BT}{hline 44}

{com}.         assert inlist(test_title_elecpol,.,1)
{txt}
{com}.         
.         drop test_title_elecpol
{txt}
{com}.         
.         * aptpol_d
.         
.         fre aptpol_d
{res}
{txt}aptpol_d
{txt}{hline 38}{hline 1}{c TT}{hline 44}
{txt}        {txt}                               {c |}      Freq.    Percent      Valid       Cum.
{txt}{hline 38}{hline 1}{c +}{hline 44}
{txt}Valid   Do not know / Refuse to answer {c |}{res}          1       1.64       4.00       4.00
{txt}        No                             {c |}{res}         15      24.59      60.00      64.00
{txt}        Yes                            {c |}{res}          9      14.75      36.00     100.00
{txt}        Total                          {c |}{res}         25      40.98     100.00           
{txt}Missing                                {c |}{res}         36      59.02                      
{txt}Total                                  {c |}{res}         61     100.00                      
{txt}{hline 38}{hline 1}{c BT}{hline 44}

{com}.         
.         lab var aptpol_d "Politician appointed by higher politician in unit"
{txt}
{com}.         replace aptpol_d = "0" if aptpol_d == "No"
{txt}(15 real changes made)

{com}.         replace aptpol_d = "1" if aptpol_d == "Yes"
{txt}(9 real changes made)

{com}.         replace aptpol_d = "-98" if aptpol_d == "Do not know / Refuse to answer"
{txt}(1 real change made)

{com}.         destring aptpol_d, replace
{txt}aptpol_d: all characters numeric; {res}replaced {txt}as {res}byte
{txt}(36 missing values generated)
{res}{txt}
{com}.         lab val aptpol_d yesno
{txt}
{com}.         
.         fre aptpol_d
{res}
{txt}aptpol_d {hline 2} Politician appointed by higher politician in unit
{txt}{hline 15}{hline 1}{c TT}{hline 44}
{txt}        {txt}        {c |}      Freq.    Percent      Valid       Cum.
{txt}{hline 15}{hline 1}{c +}{hline 44}
{txt}Valid   -98     {c |}{res}          1       1.64       4.00       4.00
{txt}        0   No  {c |}{res}         15      24.59      60.00      64.00
{txt}        1   Yes {c |}{res}          9      14.75      36.00     100.00
{txt}        Total   {c |}{res}         25      40.98     100.00           
{txt}Missing .       {c |}{res}         36      59.02                      
{txt}Total           {c |}{res}         61     100.00                      
{txt}{hline 15}{hline 1}{c BT}{hline 44}

{com}.         
.         gen test_aptpol_d = (aptpol_d != .)
{txt}
{com}.         replace test_aptpol_d = . if asked_survey == 0
{txt}(37 real changes made, 37 to missing)

{com}.         fre test_aptpol_d
{res}
{txt}test_aptpol_d
{txt}{hline 9}{hline 1}{c TT}{hline 44}
{txt}        {txt}  {c |}      Freq.    Percent      Valid       Cum.
{txt}{hline 9}{hline 1}{c +}{hline 44}
{txt}Valid   1 {c |}{res}         24      39.34     100.00     100.00
{txt}Missing . {c |}{res}         37      60.66                      
{txt}Total     {c |}{res}         61     100.00                      
{txt}{hline 9}{hline 1}{c BT}{hline 44}

{com}.         assert inlist(test_aptpol_d,.,1)
{txt}
{com}.         
.         drop test_aptpol_d
{txt}
{com}.         
.         * pol_exist_d
.         
.         gen pol_exist_d = 0
{txt}
{com}.         replace pol_exist_d = 1 if aptpol_d == 1 | elecpol_ovrsee == 1
{txt}(23 real changes made)

{com}.         replace pol_exist_d = . if asked_survey == 0
{txt}(37 real changes made, 37 to missing)

{com}.         lab val pol_exist_d yesno
{txt}
{com}.         lab var pol_exist_d "1 if we have either an appointed or elected politician"
{txt}
{com}.         
.         fre pol_exist_d
{res}
{txt}pol_exist_d {hline 2} 1 if we have either an appointed or elected politician
{txt}{hline 13}{hline 1}{c TT}{hline 44}
{txt}        {txt}      {c |}      Freq.    Percent      Valid       Cum.
{txt}{hline 13}{hline 1}{c +}{hline 44}
{txt}Valid   0 No  {c |}{res}          1       1.64       4.17       4.17
{txt}        1 Yes {c |}{res}         23      37.70      95.83     100.00
{txt}        Total {c |}{res}         24      39.34     100.00           
{txt}Missing .     {c |}{res}         37      60.66                      
{txt}Total         {c |}{res}         61     100.00                      
{txt}{hline 13}{hline 1}{c BT}{hline 44}

{com}.         order pol_exist_d, after(aptpol_d)
{txt}
{com}.         
.         * title_aptpol
.         
.         lab var title_aptpol "Title of the highest-level appointed politician in unit"
{txt}
{com}.         
.         gen test_title_aptpol = (title_aptpol != "")
{txt}
{com}.         replace test_title_aptpol = . if asked_survey == 0 
{txt}(37 real changes made, 37 to missing)

{com}.         replace test_title_aptpol = . if aptpol_d == 0 | aptpol_d == -98
{txt}(15 real changes made, 15 to missing)

{com}.         fre test_title_aptpol
{res}
{txt}test_title_aptpol
{txt}{hline 9}{hline 1}{c TT}{hline 44}
{txt}        {txt}  {c |}      Freq.    Percent      Valid       Cum.
{txt}{hline 9}{hline 1}{c +}{hline 44}
{txt}Valid   1 {c |}{res}          9      14.75     100.00     100.00
{txt}Missing . {c |}{res}         52      85.25                      
{txt}Total     {c |}{res}         61     100.00                      
{txt}{hline 9}{hline 1}{c BT}{hline 44}

{com}.         assert inlist(test_title_aptpol,.,1)
{txt}
{com}.         
.         drop test_title_aptpol
{txt}
{com}.         
.         * who_aptpol
.         
.         lab var who_aptpol "Who appoints the highest-level appointed politician in unit"
{txt}
{com}.         
.         gen test_who_aptpol = (who_aptpol != "")
{txt}
{com}.         replace test_who_aptpol = . if asked_survey == 0 
{txt}(37 real changes made, 37 to missing)

{com}.         replace test_who_aptpol = . if aptpol_d == 0 | aptpol_d == -98
{txt}(15 real changes made, 15 to missing)

{com}.         fre test_who_aptpol
{res}
{txt}test_who_aptpol
{txt}{hline 9}{hline 1}{c TT}{hline 44}
{txt}        {txt}  {c |}      Freq.    Percent      Valid       Cum.
{txt}{hline 9}{hline 1}{c +}{hline 44}
{txt}Valid   1 {c |}{res}          9      14.75     100.00     100.00
{txt}Missing . {c |}{res}         52      85.25                      
{txt}Total     {c |}{res}         61     100.00                      
{txt}{hline 9}{hline 1}{c BT}{hline 44}

{com}.         assert inlist(test_who_aptpol,.,1)
{txt}
{com}.         
.         drop test_who_aptpol
{txt}
{com}.         
.         * mostinf_servdel
.         
.         lab var mostinf_servdel "More influential in determining quality of service"
{txt}
{com}.         
.         replace mostinf_servdel = "1" if regexm(mostinf_servdel,"Elected much more")
{txt}(5 real changes made)

{com}.         replace mostinf_servdel = "2" if regexm(mostinf_servdel,"Elected slightly more")
{txt}(0 real changes made)

{com}.         replace mostinf_servdel = "3" if regexm(mostinf_servdel,"About the same")
{txt}(1 real change made)

{com}.         replace mostinf_servdel = "4" if regexm(mostinf_servdel,"Appointed slightly more")
{txt}(0 real changes made)

{com}.         replace mostinf_servdel = "5" if regexm(mostinf_servdel,"Appointed much more")
{txt}(3 real changes made)

{com}.         destring mostinf_servdel, replace
{txt}mostinf_servdel: all characters numeric; {res}replaced {txt}as {res}byte
{txt}(52 missing values generated)
{res}{txt}
{com}.         lab def mostinf_servdel 1 "Elected much more influential" 2 "Elected slightly more influential" 3 "About the same" 4 "Appointed slightly more influential" 5 "Appointed much more influential"
{txt}
{com}.         lab val mostinf_servdel mostinf_servdel
{txt}
{com}.         
.         fre mostinf_servdel
{res}
{txt}mostinf_servdel {hline 2} More influential in determining quality of service
{txt}{hline 41}{hline 1}{c TT}{hline 44}
{txt}        {txt}                                  {c |}      Freq.    Percent      Valid       Cum.
{txt}{hline 41}{hline 1}{c +}{hline 44}
{txt}Valid   1 Elected much more influential   {c |}{res}          5       8.20      55.56      55.56
{txt}        3 About the same                  {c |}{res}          1       1.64      11.11      66.67
{txt}        5 Appointed much more influential {c |}{res}          3       4.92      33.33     100.00
{txt}        Total                             {c |}{res}          9      14.75     100.00           
{txt}Missing .                                 {c |}{res}         52      85.25                      
{txt}Total                                     {c |}{res}         61     100.00                      
{txt}{hline 41}{hline 1}{c BT}{hline 44}

{com}.         
.         gen test_mostinf_servdel = (mostinf_servdel != .)
{txt}
{com}.         replace test_mostinf_servdel = . if asked_survey == 0 
{txt}(37 real changes made, 37 to missing)

{com}.         replace test_mostinf_servdel = . if (inlist(aptpol_d,0,-98) | elecpol_ovrsee == 0)
{txt}(15 real changes made, 15 to missing)

{com}.         fre test_mostinf_servdel
{res}
{txt}test_mostinf_servdel
{txt}{hline 9}{hline 1}{c TT}{hline 44}
{txt}        {txt}  {c |}      Freq.    Percent      Valid       Cum.
{txt}{hline 9}{hline 1}{c +}{hline 44}
{txt}Valid   1 {c |}{res}          9      14.75     100.00     100.00
{txt}Missing . {c |}{res}         52      85.25                      
{txt}Total     {c |}{res}         61     100.00                      
{txt}{hline 9}{hline 1}{c BT}{hline 44}

{com}.         assert inlist(test_mostinf_servdel,.,1)
{txt}
{com}.         
.         drop test_mostinf_servdel
{txt}
{com}.         
.         * educ_elecpolbur
.         
.         lab var educ_elecpolbur "More educated bureaucrat or politician (elec. politician)"
{txt}
{com}.         
.         fre educ_elecpolbur
{res}
{txt}educ_elecpolbur {hline 2} More educated bureaucrat or politician (elec. politician)
{txt}{hline 55}{hline 1}{c TT}{hline 44}
{txt}        {txt}                                                {c |}      Freq.    Percent      Valid       Cum.
{txt}{hline 55}{hline 1}{c +}{hline 44}
{txt}Valid   About the same level of education               {c |}{res}          4       6.56      17.39      17.39
{txt}        Bureaucrats much more educated than Politicians {c |}{res}         13      21.31      56.52      73.91
{txt}        Bureaucrats slightly more educated than         {c |}{res}          6       9.84      26.09     100.00
{txt}        Politicians                                     {c |}{res}                                            
{txt}        Total                                           {c |}{res}         23      37.70     100.00           
{txt}Missing                                                 {c |}{res}         38      62.30                      
{txt}Total                                                   {c |}{res}         61     100.00                      
{txt}{hline 55}{hline 1}{c BT}{hline 44}

{com}.         
.         replace educ_elecpolbur = "1" if regexm(educ_elecpolbur,"Bureaucrats much more educated")
{txt}(13 real changes made)

{com}.         replace educ_elecpolbur = "2" if regexm(educ_elecpolbur,"Bureaucrats slightly more educated")
{txt}(6 real changes made)

{com}.         replace educ_elecpolbur = "3" if regexm(educ_elecpolbur,"About the same")
{txt}(4 real changes made)

{com}.         replace educ_elecpolbur = "4" if regexm(educ_elecpolbur,"Politicians slightly more educated")
{txt}(0 real changes made)

{com}.         replace educ_elecpolbur = "5" if regexm(educ_elecpolbur,"Politicians much more educated")
{txt}(0 real changes made)

{com}.         destring educ_elecpolbur, replace
{txt}educ_elecpolbur: all characters numeric; {res}replaced {txt}as {res}byte
{txt}(38 missing values generated)
{res}{txt}
{com}.         lab def educ_elecpolbur 1 "Bureaucrats much more educated" 2 "Bureaucrats slightly more educated" 3 "About the same" 4 "Politicians slightly more educated" 5 "Politicians much more educated"
{txt}
{com}.         lab val educ_elecpolbur educ_elecpolbur
{txt}
{com}.         
.         fre educ_elecpolbur
{res}
{txt}educ_elecpolbur {hline 2} More educated bureaucrat or politician (elec. politician)
{txt}{hline 44}{hline 1}{c TT}{hline 44}
{txt}        {txt}                                     {c |}      Freq.    Percent      Valid       Cum.
{txt}{hline 44}{hline 1}{c +}{hline 44}
{txt}Valid   1 Bureaucrats much more educated     {c |}{res}         13      21.31      56.52      56.52
{txt}        2 Bureaucrats slightly more educated {c |}{res}          6       9.84      26.09      82.61
{txt}        3 About the same                     {c |}{res}          4       6.56      17.39     100.00
{txt}        Total                                {c |}{res}         23      37.70     100.00           
{txt}Missing .                                    {c |}{res}         38      62.30                      
{txt}Total                                        {c |}{res}         61     100.00                      
{txt}{hline 44}{hline 1}{c BT}{hline 44}

{com}.         
.         gen test_educ_elecpolbur = (educ_elecpolbur != .)
{txt}
{com}.         replace test_educ_elecpolbur = . if asked_survey == 0 
{txt}(37 real changes made, 37 to missing)

{com}.         replace test_educ_elecpolbur = . if elecpol_ovrsee == 0
{txt}(1 real change made, 1 to missing)

{com}.         fre test_educ_elecpolbur
{res}
{txt}test_educ_elecpolbur
{txt}{hline 9}{hline 1}{c TT}{hline 44}
{txt}        {txt}  {c |}      Freq.    Percent      Valid       Cum.
{txt}{hline 9}{hline 1}{c +}{hline 44}
{txt}Valid   1 {c |}{res}         23      37.70     100.00     100.00
{txt}Missing . {c |}{res}         38      62.30                      
{txt}Total     {c |}{res}         61     100.00                      
{txt}{hline 9}{hline 1}{c BT}{hline 44}

{com}.         assert inlist(test_educ_elecpolbur,.,1)
{txt}
{com}.         
.         drop test_educ_elecpolbur
{txt}
{com}.         
.         * educ_apolbur
.         
.         lab var educ_apolbur "More educated bureaucrat or politician (app. politician) "
{txt}
{com}.         
.         fre educ_apolbur
{res}
{txt}educ_apolbur {hline 2} More educated bureaucrat or politician (app. politician) 
{txt}{hline 8}{hline 1}{c TT}{hline 44}
{txt}        {txt} {c |}      Freq.    Percent      Valid       Cum.
{txt}{hline 8}{hline 1}{c +}{hline 44}
{txt}Missing  {c |}{res}         61     100.00                      
{txt}{hline 8}{hline 1}{c BT}{hline 44}

{com}.         
.         replace educ_apolbur = "1" if regexm(educ_apolbur,"Bureaucrats much more educated")
{txt}(0 real changes made)

{com}.         replace educ_apolbur = "2" if regexm(educ_apolbur,"Bureaucrats slightly more educated")
{txt}(0 real changes made)

{com}.         replace educ_apolbur = "3" if regexm(educ_apolbur,"About the same")
{txt}(0 real changes made)

{com}.         replace educ_apolbur = "4" if regexm(educ_apolbur,"Politicians slightly more educated")
{txt}(0 real changes made)

{com}.         replace educ_apolbur = "5" if regexm(educ_apolbur,"Politicians much more educated")
{txt}(0 real changes made)

{com}.         destring educ_apolbur, replace
{txt}educ_apolbur: all characters numeric; {res}replaced {txt}as {res}byte
{txt}(61 missing values generated)
{res}{txt}
{com}.         lab def educ_apolbur 1 "Bureaucrats much more educated" 2 "Bureaucrats slightly more educated" 3 "About the same" 4 "Politicians slightly more educated" 5 "Politicians much more educated"
{txt}
{com}.         lab val educ_apolbur educ_apolbur
{txt}
{com}.         
.         fre educ_apolbur
{res}
{txt}educ_apolbur {hline 2} More educated bureaucrat or politician (app. politician) 
{txt}{hline 13}{hline 1}{c TT}{hline 44}
{txt}        {txt}      {c |}      Freq.    Percent      Valid       Cum.
{txt}{hline 13}{hline 1}{c +}{hline 44}
{txt}Missing .     {c |}{res}         61     100.00                      
{txt}{hline 13}{hline 1}{c BT}{hline 44}

{com}.         
.         gen test_educ_apolbur = (educ_apolbur != .)
{txt}
{com}.         replace test_educ_apolbur = . if asked_survey == 0
{txt}(37 real changes made, 37 to missing)

{com}.         replace test_educ_apolbur = . if aptpol_d == 0
{txt}(14 real changes made, 14 to missing)

{com}.         replace test_educ_apolbur = . if elecpol_ovrsee == 1 
{txt}(10 real changes made, 10 to missing)

{com}.         fre test_educ_apolbur
{res}
{txt}test_educ_apolbur
{txt}{hline 9}{hline 1}{c TT}{hline 44}
{txt}        {txt}  {c |}      Freq.    Percent      Valid       Cum.
{txt}{hline 9}{hline 1}{c +}{hline 44}
{txt}Missing . {c |}{res}         61     100.00                      
{txt}{hline 9}{hline 1}{c BT}{hline 44}

{com}.         assert inlist(test_educ_apolbur,.,1)
{txt}
{com}.         
.         drop test_educ_apolbur
{txt}
{com}.         
.         * slry_elecpolbur
.         
.         lab var slry_elecpolbur "Earning more bureaucrat or politician (elec. politician)"
{txt}
{com}.         
.         fre slry_elecpolbur
{res}
{txt}slry_elecpolbur {hline 2} Earning more bureaucrat or politician (elec. politician)
{txt}{hline 55}{hline 1}{c TT}{hline 44}
{txt}        {txt}                                                {c |}      Freq.    Percent      Valid       Cum.
{txt}{hline 55}{hline 1}{c +}{hline 44}
{txt}Valid   Both earn about the same                        {c |}{res}          4       6.56      17.39      17.39
{txt}        Bureaucrats earn much more than Politicians     {c |}{res}          5       8.20      21.74      39.13
{txt}        Bureaucrats earn slightly more than Politicians {c |}{res}          3       4.92      13.04      52.17
{txt}        Politicians earn much more than Bureaucrats     {c |}{res}          6       9.84      26.09      78.26
{txt}        Politicians earn slightly more than Bureaucrats {c |}{res}          5       8.20      21.74     100.00
{txt}        Total                                           {c |}{res}         23      37.70     100.00           
{txt}Missing                                                 {c |}{res}         38      62.30                      
{txt}Total                                                   {c |}{res}         61     100.00                      
{txt}{hline 55}{hline 1}{c BT}{hline 44}

{com}.         
.         replace slry_elecpolbur = "1" if regexm(slry_elecpolbur,"Bureaucrats earn much")
{txt}(5 real changes made)

{com}.         replace slry_elecpolbur = "2" if regexm(slry_elecpolbur,"Bureaucrats earn slightly")
{txt}(3 real changes made)

{com}.         replace slry_elecpolbur = "3" if regexm(slry_elecpolbur,"Both earn")
{txt}(4 real changes made)

{com}.         replace slry_elecpolbur = "4" if regexm(slry_elecpolbur,"Politicians earn slightly")
{txt}(5 real changes made)

{com}.         replace slry_elecpolbur = "5" if regexm(slry_elecpolbur,"Politicians earn much")
{txt}(6 real changes made)

{com}.         destring slry_elecpolbur, replace
{txt}slry_elecpolbur: all characters numeric; {res}replaced {txt}as {res}byte
{txt}(38 missing values generated)
{res}{txt}
{com}.         lab def slry_elecpolbur 1 "Bureaucrats earn much more" 2 "Bureaucrats earn slightly more" 3 "Both earn the same" 4 "Politicians earn slightly" 5 "Politicians earn much more"
{txt}
{com}.         lab val slry_elecpolbur slry_elecpolbur
{txt}
{com}.         
.         fre slry_elecpolbur
{res}
{txt}slry_elecpolbur {hline 2} Earning more bureaucrat or politician (elec. politician)
{txt}{hline 40}{hline 1}{c TT}{hline 44}
{txt}        {txt}                                 {c |}      Freq.    Percent      Valid       Cum.
{txt}{hline 40}{hline 1}{c +}{hline 44}
{txt}Valid   1 Bureaucrats earn much more     {c |}{res}          5       8.20      21.74      21.74
{txt}        2 Bureaucrats earn slightly more {c |}{res}          3       4.92      13.04      34.78
{txt}        3 Both earn the same             {c |}{res}          4       6.56      17.39      52.17
{txt}        4 Politicians earn slightly      {c |}{res}          5       8.20      21.74      73.91
{txt}        5 Politicians earn much more     {c |}{res}          6       9.84      26.09     100.00
{txt}        Total                            {c |}{res}         23      37.70     100.00           
{txt}Missing .                                {c |}{res}         38      62.30                      
{txt}Total                                    {c |}{res}         61     100.00                      
{txt}{hline 40}{hline 1}{c BT}{hline 44}

{com}.         
.         gen test_slry_elecpolbur = (slry_elecpolbur != .)
{txt}
{com}.         replace test_slry_elecpolbur = . if asked_survey == 0 
{txt}(37 real changes made, 37 to missing)

{com}.         replace test_slry_elecpolbur = . if elecpol_ovrsee == 0
{txt}(1 real change made, 1 to missing)

{com}.         fre test_slry_elecpolbur
{res}
{txt}test_slry_elecpolbur
{txt}{hline 9}{hline 1}{c TT}{hline 44}
{txt}        {txt}  {c |}      Freq.    Percent      Valid       Cum.
{txt}{hline 9}{hline 1}{c +}{hline 44}
{txt}Valid   1 {c |}{res}         23      37.70     100.00     100.00
{txt}Missing . {c |}{res}         38      62.30                      
{txt}Total     {c |}{res}         61     100.00                      
{txt}{hline 9}{hline 1}{c BT}{hline 44}

{com}.         assert inlist(test_slry_elecpolbur,.,1)
{txt}
{com}.         
.         drop test_slry_elecpolbur
{txt}
{com}.         
.         * slry_apolbur
.         
.         lab var slry_apolbur "Earning more bureaucrat or politician (app. politician)"
{txt}
{com}.         
.         fre slry_apolbur
{res}
{txt}slry_apolbur {hline 2} Earning more bureaucrat or politician (app. politician)
{txt}{hline 8}{hline 1}{c TT}{hline 44}
{txt}        {txt} {c |}      Freq.    Percent      Valid       Cum.
{txt}{hline 8}{hline 1}{c +}{hline 44}
{txt}Missing  {c |}{res}         61     100.00                      
{txt}{hline 8}{hline 1}{c BT}{hline 44}

{com}.         
.         replace slry_apolbur = "1" if regexm(slry_apolbur,"Bureaucrats earn much")
{txt}(0 real changes made)

{com}.         replace slry_apolbur = "2" if regexm(slry_apolbur,"Bureaucrats earn slightly")
{txt}(0 real changes made)

{com}.         replace slry_apolbur = "3" if regexm(slry_apolbur,"Both earn")
{txt}(0 real changes made)

{com}.         replace slry_apolbur = "4" if regexm(slry_apolbur,"Politicians earn slightly")
{txt}(0 real changes made)

{com}.         replace slry_apolbur = "5" if regexm(slry_apolbur,"Politicians earn much")
{txt}(0 real changes made)

{com}.         destring slry_apolbur, replace
{txt}slry_apolbur: all characters numeric; {res}replaced {txt}as {res}byte
{txt}(61 missing values generated)
{res}{txt}
{com}.         lab def slry_apolbur 1 "Bureaucrats earn much more" 2 "Bureaucrats earn slightly more" 3 "Both earn the same" 4 "Politicians earn slightly" 5 "Politicians earn much more"
{txt}
{com}.         lab val slry_apolbur slry_apolbur
{txt}
{com}.         
.         fre slry_apolbur
{res}
{txt}slry_apolbur {hline 2} Earning more bureaucrat or politician (app. politician)
{txt}{hline 13}{hline 1}{c TT}{hline 44}
{txt}        {txt}      {c |}      Freq.    Percent      Valid       Cum.
{txt}{hline 13}{hline 1}{c +}{hline 44}
{txt}Missing .     {c |}{res}         61     100.00                      
{txt}{hline 13}{hline 1}{c BT}{hline 44}

{com}.         
.         gen test_slry_apolbur = (slry_apolbur != .)
{txt}
{com}.         replace test_slry_apolbur = . if asked_survey == 0
{txt}(37 real changes made, 37 to missing)

{com}.         replace test_slry_apolbur = . if aptpol_d == 0
{txt}(14 real changes made, 14 to missing)

{com}.         replace test_slry_apolbur = . if elecpol_ovrsee == 1 
{txt}(10 real changes made, 10 to missing)

{com}.         fre test_slry_apolbur
{res}
{txt}test_slry_apolbur
{txt}{hline 9}{hline 1}{c TT}{hline 44}
{txt}        {txt}  {c |}      Freq.    Percent      Valid       Cum.
{txt}{hline 9}{hline 1}{c +}{hline 44}
{txt}Missing . {c |}{res}         61     100.00                      
{txt}{hline 9}{hline 1}{c BT}{hline 44}

{com}.         assert inlist(test_slry_apolbur,.,1)
{txt}
{com}.         
.         drop test_slry_apolbur
{txt}
{com}.         
.         * We merge the payment module
.         
.         merge m:1 responseid using "`payment_module'"
{res}
{txt}{col 5}Result{col 38}# of obs.
{col 5}{hline 41}
{col 5}not matched{col 30}{res}               0
{txt}{col 5}matched{col 30}{res}              61{txt}  (_merge==3)
{col 5}{hline 41}

{com}.         
.         
.         
.         e

{txt}end of do-file


{com}. do "/var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//SD44938.000000"
{txt}
{com}. 
.         * Purpose: Importing data to run HFC
.         
.         * Setting up globals
.         
.         if "`c(username)'" == "fredericcochinard" {c -(}
.                 
.                 global import_folder "/Users/fredericcochinard/Dropbox/Expert survey/Data/0.survey_dataset/0.import"
.                 global output "/Users/fredericcochinard/Dropbox/Expert survey/Data/0.survey_dataset/1.output"
.                 
.                 {c )-}
{txt}
{com}.                 
.         if "`c(username)'" == "" {c -(}
.         
.                 
.                 {c )-}
{txt}
{com}.         
.         * Looking for renaming folder with problem
.         
.         local myfiles: dir "$import_folder" files "*.xlsx"
{txt}
{com}. 
.         foreach file of local myfiles {c -(}
{txt}  2{com}.                 
.                 local subfile = substr("`file'", 1, .)
{txt}  3{com}.                 local subfile : subinstr local subfile " " "_", all
{txt}  4{com}.                 ! mv "${c -(}import_folder{c )-}/`file'" "${c -(}import_folder{c )-}/`subfile'"
{txt}  5{com}.                 
.                 {c )-}
{txt}

{com}.         
.         * Looking for dataset
.         
.         filelist , dir("$import_folder") pat("*.xlsx")
{res}{txt}Number of files found = {res}1
{txt}
{com}.         
.         gen url = filename
{txt}
{com}.         
.         levelsof url
{txt}`"Expert_survey_February_18,_2025_16.23.xlsx"'

{com}. 
.         local lvlfiles `r(levels)'
{txt}
{com}.         
.         local z = 0
{txt}
{com}.         
.         foreach lvl of local lvlfiles {c -(}
{txt}  2{com}.         
.                 local z = `z' + 1
{txt}  3{com}.                 
.                 local temp : subinstr local lvl `"""' "", all
{txt}  4{com}.                 local url : subinstr local temp "'" "", all
{txt}  5{com}.         
.                 import excel "${c -(}import_folder{c )-}/`url'", first case(lower) clear
{txt}  6{com}.                 
.                 gen num = _n
{txt}  7{com}.                 drop if num == 1
{txt}  8{com}.                 
.                 * Preparing the append
.                 
.                 tempfile data`z'
{txt}  9{com}.                 sa "`data`z''"
{txt} 10{com}.                 
.                 {c )-}
{res}{txt}(1 observation deleted)
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.000001 saved

{com}.                 
.         * We append the dataset to start cleaning
.         
.         use "`data1'", clear
{txt}
{com}.         
.         forvalues x = 2/`z' {c -(}
{txt}  2{com}.         
.                 append using "`data`x''"
{txt}  3{com}.                 
.                 {c )-}
{txt}
{com}.                 
.         duplicates drop

{p 0 4}{txt}Duplicates in terms of {txt} all variables{p_end}

(0 observations are duplicates)

{com}.         
.         * We keep relevant variable
.         drop if recipientemail == "frederic.cochinard@gmail.com"
{txt}(8 observations deleted)

{com}.         drop if recipientemail == "vedpant+spanish@college.harvard.edu"
{txt}(1 observation deleted)

{com}.         drop if recipientemail == "frederic.cochinard+3@gmail.com"
{txt}(1 observation deleted)

{com}.         drop if recipientemail == "frederic.cochinard+1@gmail.com"
{txt}(1 observation deleted)

{com}.         
.         * We remove observation that are not finished
.         drop if finished == "False"
{txt}(9 observations deleted)

{com}.         
.         * We create a save
.         
.         tempfile save_data
{txt}
{com}.         sa "`save_data'"
{txt}file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.000002 saved

{com}.         
.         ******************
.         * Payment module *
.         ******************
.         
.         preserve
{txt}
{com}.         
.         keep responseid method_pay_bank_in_q-q977
{txt}
{com}.         compress
  {txt}variable {bf}method_pay_bank_in_q{sf} was {bf}{res}str237{sf}{txt} now {bf}{res}str24{sf}
  {txt}variable {bf}expert_donation_org{sf} was {bf}{res}str129{sf}{txt} now {bf}{res}str23{sf}
  {txt}variable {bf}q967{sf} was {bf}{res}str236{sf}{txt} now {bf}{res}str65{sf}
  {txt}variable {bf}q978{sf} was {bf}{res}str326{sf}{txt} now {bf}{res}str16{sf}
  {txt}variable {bf}q979{sf} was {bf}{res}str104{sf}{txt} now {bf}{res}str39{sf}
  {txt}variable {bf}q980{sf} was {bf}{res}str95{sf}{txt} now {bf}{res}str11{sf}
  {txt}variable {bf}q987{sf} was {bf}{res}str170{sf}{txt} now {bf}{res}str24{sf}
  {txt}variable {bf}q984{sf} was {bf}{res}str326{sf}{txt} now {bf}{res}str1{sf}
  {txt}variable {bf}q985{sf} was {bf}{res}str104{sf}{txt} now {bf}{res}str1{sf}
  {txt}variable {bf}q986{sf} was {bf}{res}str95{sf}{txt} now {bf}{res}str1{sf}
  {txt}variable {bf}q988{sf} was {bf}{res}str170{sf}{txt} now {bf}{res}str1{sf}
  {txt}variable {bf}q989{sf} was {bf}{res}str559{sf}{txt} now {bf}{res}str1{sf}
  {txt}variable {bf}q990{sf} was {bf}{res}str102{sf}{txt} now {bf}{res}str1{sf}
  {txt}variable {bf}q991{sf} was {bf}{res}str93{sf}{txt} now {bf}{res}str1{sf}
  {txt}variable {bf}q992{sf} was {bf}{res}str170{sf}{txt} now {bf}{res}str1{sf}
  {txt}variable {bf}q998{sf} was {bf}{res}str537{sf}{txt} now {bf}{res}str1{sf}
  {txt}variable {bf}q997{sf} was {bf}{res}str105{sf}{txt} now {bf}{res}str1{sf}
  {txt}variable {bf}q999{sf} was {bf}{res}str104{sf}{txt} now {bf}{res}str1{sf}
  {txt}variable {bf}q1000{sf} was {bf}{res}str95{sf}{txt} now {bf}{res}str1{sf}
  {txt}variable {bf}q1001{sf} was {bf}{res}str170{sf}{txt} now {bf}{res}str1{sf}
  {txt}variable {bf}q977{sf} was {bf}{res}str502{sf}{txt} now {bf}{res}str23{sf}
{txt}  (46,101 bytes saved)

{com}.         
.         * Donate_d
.         
.         gen donate_d = 0
{txt}
{com}.         replace donate_d = 1 if method_pay_bank_in_q == "I prefer to donate"
{txt}(3 real changes made)

{com}.         
.         * Special case
.         replace donate_d = 1 if responseid == "R_4ouc7tR6BFj3gpb" // respondent is refusing to take money in comments
{txt}(1 real change made)

{com}.         replace donate_d = 1 if responseid == "R_4Iow7YzsoT2KTOx" // respondent is writing cancel in comments
{txt}(1 real change made)

{com}.         
.         lab var donate_d "Respondent decided to donate"
{txt}
{com}.         lab def donate_d 0 "No" 1 "Yes"
{txt}
{com}.         lab val donate_d donate_d
{txt}
{com}.         order donate_d, after(responseid)
{txt}
{com}.         
.         * Org
.         
.         gen org_donation_id = "" 
{txt}(11 missing values generated)

{com}.         replace org_donation_id = expert_donation_org if donate_d == 1
{txt}variable {bf}org_donation_id{sf} was {bf}{res}str1{sf}{txt} now {bf}{res}str23{sf}
{txt}(3 real changes made)

{com}.         replace org_donation_id = "No choice" if donate_d == 1 & org_donation_id == ""
{txt}(2 real changes made)

{com}.         lab var org_donation_id "Name of the organization the respondent chose to donate"
{txt}
{com}.         order org_donation_id, after(donate_d)
{txt}
{com}.         
.         * Paid status
.         
.         gen paid_status = 0
{txt}
{com}.         replace paid_status = 2 if donate_d == 1
{txt}(5 real changes made)

{com}.         
.         * Case of payment
.         
.         lab var paid_status "Status of payment of the respondent"
{txt}
{com}.         lab def paid_status 0 "Not yet" 1 "Yes" 2 "Donation"
{txt}
{com}.         lab val paid_status paid_status
{txt}
{com}.         order paid_status, after(org_donation_id)
{txt}
{com}.         
.         keep responseid donate_d org_donation_id paid_status
{txt}
{com}.         
.         tempfile payment_module
{txt}
{com}.         sa "`payment_module'"
{txt}file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.000004 saved

{com}.         
.         restore
{txt}
{com}.         
.         * Main form of survey 
.         keep country full_name recipientemail responseid progress durationinseconds finished userlanguage num_unit confirmation_* ///
>         title_bur* elecpol_ovrsee* title_elecpol* aptpol_d* title_aptpol* who_aptpol* mostinf_servdel* educ_elecpolbur* ///
>         educ_apolbur* slry_elecpolbur* slry_apolbur* fdout_epol_bgt* fdout_apol_bgt* budsect_epol* budsect_apol* acinfexp_epol* /// 
>         acinfexp_apol* understand_epol* understand_apol* acttake_epol* acttake_epol* acttake_apol* acttake_apol* likely* why_likchan* /// 
>         who_apt_bur* who_apt_bur* who_fir_bur* who_fir_bur* ocap_epol* ocap_apol* prio_epol* prio_apol* overall_conf* avg_educ_epol* ///
>         avg_educ_apol* avg_educ_buro* avg_slry_epol* avg_slry_apol* avg_slry_buro* //
{txt}
{com}.         
.         destring durationinseconds progress, replace
{txt}durationinseconds: all characters numeric; {res}replaced {txt}as {res}int
{txt}progress: all characters numeric; {res}replaced {txt}as {res}byte
{txt}
{com}.         replace durationinseconds = round(durationinseconds/60)
{txt}(11 real changes made)

{com}.         ren durationinseconds duration_minutes
{res}{txt}
{com}. 
.         *--
.         
.         local id country full_name recipientemail responseid userlanguage num_unit finished progress duration_minutes
{txt}
{com}.         
.         order `id', first
{txt}
{com}.         duplicates drop `id', force

{p 0 4}{txt}Duplicates in terms of {res} country full_name recipientemail responseid userlanguage num_unit finished progress duration_minutes{p_end}

{txt}(0 observations are duplicates)

{com}.         
.         * Renaming others
.         
.         forvalues x = 1/3 {c -(}
{txt}  2{com}.                 
.                 forvalues y = 1/6 {c -(} 
{txt}  3{com}.                 
.                         cap ren who_apt_bur_`x'_`y'_8_text who_apt_buroth_`x'_`y'
{txt}  4{com}.                         cap ren who_fir_bur_`x'_`y'_8_text who_fir_buroth_`x'_`y'
{txt}  5{com}.                         cap ren acttake_epol_`x'_`y'_9_text acttake_epoloth_`x'_`y'
{txt}  6{com}.                         cap ren acttake_apol_`x'_`y'_9_text acttake_apoloth_`x'_`y'
{txt}  7{com}.                         
.                         {c )-}
{txt}  8{com}.                         
.                 {c )-}
{txt}
{com}.         
.         #delimit ;
{txt}delimiter now ;
{com}.         local var confirmation
>         title_bur 
>         elecpol_ovrsee
>         title_elecpol
>         aptpol_d
>         title_aptpol
>         who_aptpol
>         mostinf_servdel
>         educ_elecpolbur
>         educ_apolbur
>         slry_elecpolbur
>         slry_apolbur
>         fdout_epol_bgt
>         fdout_apol_bgt
>         budsect_epol
>         budsect_apol
>         acinfexp_epol
>         acinfexp_apol
>         understand_epol
>         understand_apol
>         acttake_epol
>         acttake_epoloth
>         acttake_apol
>         acttake_apoloth
>         likely
>         why_likchan
>         who_apt_bur
>         who_apt_buroth
>         who_fir_bur
>         who_fir_buroth
>         ocap_epol
>         ocap_apol
>         prio_epol
>         prio_apol
>         overall_conf
>         avg_educ_epol
>         avg_educ_apol
>         avg_educ_buro
>         avg_slry_epol
>         avg_slry_apol
>         avg_slry_buro
>         
>         ;
{txt}
{com}.                 #delimit cr
{txt}delimiter now cr
{com}. 
.         reshape long `var', i(`id') j(pos) s
{txt}(note: j = _1_1 _1_4 _1_5 _1_6 _2_1 _2_2 _2_4 _2_5 _2_6 _3_1 _3_2 _3_3 _3_4 _3_5 _3_6)
(note: confirmation_1_4 not found)
(note: confirmation_1_5 not found)
(note: confirmation_1_6 not found)
(note: confirmation_2_4 not found)
(note: confirmation_2_5 not found)
(note: confirmation_2_6 not found)
(note: confirmation_3_4 not found)
(note: confirmation_3_5 not found)
(note: confirmation_3_6 not found)

Data{col 36}wide{col 43}->{col 48}long
{hline 77}
Number of obs.                 {res}      11   {txt}->{res}     165
{txt}Number of variables            {res}     615   {txt}->{res}      51
{txt}j variable (15 values)                    ->   {res}pos
{txt}xij variables:
{res}confirmation_1_1 confirmation_1_4 ... confirmation_3_6{txt}->{res}confirmation
title_bur_1_1 title_bur_1_4 ... title_bur_3_6{txt}->{res}title_bur
elecpol_ovrsee_1_1 elecpol_ovrsee_1_4 ... elecpol_ovrsee_3_6{txt}->{res}elecpol_ovrsee
title_elecpol_1_1 title_elecpol_1_4 ... title_elecpol_3_6{txt}->{res}title_elecpol
aptpol_d_1_1 aptpol_d_1_4 ... aptpol_d_3_6{txt}->   {res}aptpol_d
title_aptpol_1_1 title_aptpol_1_4 ... title_aptpol_3_6{txt}->{res}title_aptpol
who_aptpol_1_1 who_aptpol_1_4 ... who_aptpol_3_6{txt}->{res}who_aptpol
mostinf_servdel_1_1 mostinf_servdel_1_4 ... mostinf_servdel_3_6{txt}->{res}mostinf_servdel
educ_elecpolbur_1_1 educ_elecpolbur_1_4 ... educ_elecpolbur_3_6{txt}->{res}educ_elecpolbur
educ_apolbur_1_1 educ_apolbur_1_4 ... educ_apolbur_3_6{txt}->{res}educ_apolbur
slry_elecpolbur_1_1 slry_elecpolbur_1_4 ... slry_elecpolbur_3_6{txt}->{res}slry_elecpolbur
slry_apolbur_1_1 slry_apolbur_1_4 ... slry_apolbur_3_6{txt}->{res}slry_apolbur
fdout_epol_bgt_1_1 fdout_epol_bgt_1_4 ... fdout_epol_bgt_3_6{txt}->{res}fdout_epol_bgt
fdout_apol_bgt_1_1 fdout_apol_bgt_1_4 ... fdout_apol_bgt_3_6{txt}->{res}fdout_apol_bgt
budsect_epol_1_1 budsect_epol_1_4 ... budsect_epol_3_6{txt}->{res}budsect_epol
budsect_apol_1_1 budsect_apol_1_4 ... budsect_apol_3_6{txt}->{res}budsect_apol
acinfexp_epol_1_1 acinfexp_epol_1_4 ... acinfexp_epol_3_6{txt}->{res}acinfexp_epol
acinfexp_apol_1_1 acinfexp_apol_1_4 ... acinfexp_apol_3_6{txt}->{res}acinfexp_apol
understand_epol_1_1 understand_epol_1_4 ... understand_epol_3_6{txt}->{res}understand_epol
understand_apol_1_1 understand_apol_1_4 ... understand_apol_3_6{txt}->{res}understand_apol
acttake_epol_1_1 acttake_epol_1_4 ... acttake_epol_3_6{txt}->{res}acttake_epol
acttake_epoloth_1_1 acttake_epoloth_1_4 ... acttake_epoloth_3_6{txt}->{res}acttake_epoloth
acttake_apol_1_1 acttake_apol_1_4 ... acttake_apol_3_6{txt}->{res}acttake_apol
acttake_apoloth_1_1 acttake_apoloth_1_4 ... acttake_apoloth_3_6{txt}->{res}acttake_apoloth
   likely_1_1 likely_1_4 ... likely_3_6   {txt}->   {res}likely
why_likchan_1_1 why_likchan_1_4 ... why_likchan_3_6{txt}->{res}why_likchan
who_apt_bur_1_1 who_apt_bur_1_4 ... who_apt_bur_3_6{txt}->{res}who_apt_bur
who_apt_buroth_1_1 who_apt_buroth_1_4 ... who_apt_buroth_3_6{txt}->{res}who_apt_buroth
who_fir_bur_1_1 who_fir_bur_1_4 ... who_fir_bur_3_6{txt}->{res}who_fir_bur
who_fir_buroth_1_1 who_fir_buroth_1_4 ... who_fir_buroth_3_6{txt}->{res}who_fir_buroth
ocap_epol_1_1 ocap_epol_1_4 ... ocap_epol_3_6{txt}->{res}ocap_epol
ocap_apol_1_1 ocap_apol_1_4 ... ocap_apol_3_6{txt}->{res}ocap_apol
prio_epol_1_1 prio_epol_1_4 ... prio_epol_3_6{txt}->{res}prio_epol
prio_apol_1_1 prio_apol_1_4 ... prio_apol_3_6{txt}->{res}prio_apol
overall_conf_1_1 overall_conf_1_4 ... overall_conf_3_6{txt}->{res}overall_conf
avg_educ_epol_1_1 avg_educ_epol_1_4 ... avg_educ_epol_3_6{txt}->{res}avg_educ_epol
avg_educ_apol_1_1 avg_educ_apol_1_4 ... avg_educ_apol_3_6{txt}->{res}avg_educ_apol
avg_educ_buro_1_1 avg_educ_buro_1_4 ... avg_educ_buro_3_6{txt}->{res}avg_educ_buro
avg_slry_epol_1_1 avg_slry_epol_1_4 ... avg_slry_epol_3_6{txt}->{res}avg_slry_epol
avg_slry_apol_1_1 avg_slry_apol_1_4 ... avg_slry_apol_3_6{txt}->{res}avg_slry_apol
avg_slry_buro_1_1 avg_slry_buro_1_4 ... avg_slry_buro_3_6{txt}->{res}avg_slry_buro
{txt}{hline 77}

{com}.         
.         * Filter data
.         
.         split pos, p("_")
{res}variables created as string: 
{txt}{col 1}pos1{col 7}pos2{col 13}pos3

{com}.         
.         drop pos1
{txt}
{com}.         ren pos2 case_n_unit
{res}{txt}
{com}.         ren pos3 unit_num
{res}{txt}
{com}.         destring case_n_unit unit_num, replace
{txt}case_n_unit: all characters numeric; {res}replaced {txt}as {res}byte
{txt}unit_num: all characters numeric; {res}replaced {txt}as {res}byte
{txt}
{com}.         order case_n_unit unit_num, after(duration_minutes)
{txt}
{com}.         drop pos
{txt}
{com}.         
.         destring num_unit, replace
{txt}num_unit: all characters numeric; {res}replaced {txt}as {res}byte
{txt}
{com}.         drop if num_unit != case_n_unit
{txt}(104 observations deleted)

{com}.         drop num_unit
{txt}
{com}.         
.         compress
  {txt}variable {bf}country{sf} was {bf}{res}str15{sf}{txt} now {bf}{res}str11{sf}
  {txt}variable {bf}full_name{sf} was {bf}{res}str28{sf}{txt} now {bf}{res}str23{sf}
  {txt}variable {bf}recipientemail{sf} was {bf}{res}str35{sf}{txt} now {bf}{res}str32{sf}
  {txt}variable {bf}userlanguage{sf} was {bf}{res}str13{sf}{txt} now {bf}{res}str2{sf}
  {txt}variable {bf}finished{sf} was {bf}{res}str8{sf}{txt} now {bf}{res}str4{sf}
  {txt}variable {bf}title_bur{sf} was {bf}{res}str448{sf}{txt} now {bf}{res}str235{sf}
  {txt}variable {bf}elecpol_ovrsee{sf} was {bf}{res}str352{sf}{txt} now {bf}{res}str3{sf}
  {txt}variable {bf}title_elecpol{sf} was {bf}{res}str312{sf}{txt} now {bf}{res}str288{sf}
  {txt}variable {bf}aptpol_d{sf} was {bf}{res}str332{sf}{txt} now {bf}{res}str30{sf}
  {txt}variable {bf}who_aptpol{sf} was {bf}{res}str96{sf}{txt} now {bf}{res}str84{sf}
  {txt}variable {bf}mostinf_servdel{sf} was {bf}{res}str256{sf}{txt} now {bf}{res}str44{sf}
  {txt}variable {bf}educ_elecpolbur{sf} was {bf}{res}str258{sf}{txt} now {bf}{res}str51{sf}
  {txt}variable {bf}educ_apolbur{sf} was {bf}{res}str260{sf}{txt} now {bf}{res}str1{sf}
  {txt}variable {bf}slry_elecpolbur{sf} was {bf}{res}str316{sf}{txt} now {bf}{res}str47{sf}
  {txt}variable {bf}slry_apolbur{sf} was {bf}{res}str318{sf}{txt} now {bf}{res}str1{sf}
  {txt}variable {bf}fdout_epol_bgt{sf} was {bf}{res}str373{sf}{txt} now {bf}{res}str19{sf}
  {txt}variable {bf}fdout_apol_bgt{sf} was {bf}{res}str375{sf}{txt} now {bf}{res}str1{sf}
  {txt}variable {bf}budsect_epol{sf} was {bf}{res}str217{sf}{txt} now {bf}{res}str19{sf}
  {txt}variable {bf}budsect_apol{sf} was {bf}{res}str219{sf}{txt} now {bf}{res}str1{sf}
  {txt}variable {bf}acinfexp_epol{sf} was {bf}{res}str216{sf}{txt} now {bf}{res}str19{sf}
  {txt}variable {bf}acinfexp_apol{sf} was {bf}{res}str218{sf}{txt} now {bf}{res}str1{sf}
  {txt}variable {bf}understand_epol{sf} was {bf}{res}str214{sf}{txt} now {bf}{res}str21{sf}
  {txt}variable {bf}understand_apol{sf} was {bf}{res}str216{sf}{txt} now {bf}{res}str21{sf}
  {txt}variable {bf}acttake_epol{sf} was {bf}{res}str247{sf}{txt} now {bf}{res}str163{sf}
  {txt}variable {bf}acttake_epoloth{sf} was {bf}{res}str261{sf}{txt} now {bf}{res}str63{sf}
  {txt}variable {bf}acttake_apol{sf} was {bf}{res}str250{sf}{txt} now {bf}{res}str1{sf}
  {txt}variable {bf}acttake_apoloth{sf} was {bf}{res}str264{sf}{txt} now {bf}{res}str1{sf}
  {txt}variable {bf}likely{sf} was {bf}{res}str159{sf}{txt} now {bf}{res}str18{sf}
  {txt}variable {bf}who_apt_bur{sf} was {bf}{res}str126{sf}{txt} now {bf}{res}str64{sf}
  {txt}variable {bf}who_fir_bur{sf} was {bf}{res}str120{sf}{txt} now {bf}{res}str64{sf}
  {txt}variable {bf}who_fir_buroth{sf} was {bf}{res}str134{sf}{txt} now {bf}{res}str77{sf}
  {txt}variable {bf}ocap_epol{sf} was {bf}{res}str359{sf}{txt} now {bf}{res}str55{sf}
  {txt}variable {bf}ocap_apol{sf} was {bf}{res}str361{sf}{txt} now {bf}{res}str1{sf}
  {txt}variable {bf}prio_epol{sf} was {bf}{res}str209{sf}{txt} now {bf}{res}str73{sf}
  {txt}variable {bf}prio_apol{sf} was {bf}{res}str211{sf}{txt} now {bf}{res}str1{sf}
  {txt}variable {bf}overall_conf{sf} was {bf}{res}str191{sf}{txt} now {bf}{res}str17{sf}
  {txt}variable {bf}avg_educ_buro{sf} was {bf}{res}str117{sf}{txt} now {bf}{res}str101{sf}
  {txt}variable {bf}avg_slry_apol{sf} was {bf}{res}str134{sf}{txt} now {bf}{res}str128{sf}
  {txt}variable {bf}avg_slry_buro{sf} was {bf}{res}str134{sf}{txt} now {bf}{res}str87{sf}
  {txt}variable {bf}confirmation{sf} was {bf}{res}str1148{sf}{txt} now {bf}{res}str63{sf}
{txt}  (462,685 bytes saved)

{com}.         
.         * We edit the label 
.         
.         lab var country "Country"
{txt}
{com}.         lab var full_name  "Full name of recipient"
{txt}
{com}.         lab var recipientemail "Recipient email"
{txt}
{com}.         lab var userlanguage "Language used to answer"
{txt}
{com}.         lab var finished "Completion status"
{txt}
{com}.         lab var progress "Progress"
{txt}
{com}.         lab var duration_minutes "Duration in minutes"
{txt}
{com}.         lab var case_n_unit "Original number of entities"
{txt}
{com}.         lab var unit_num "Unit number"
{txt}
{com}.         
.         * Confirmation
.         
.         fre confirmation
{res}
{txt}confirmation
{txt}{hline 54}{hline 1}{c TT}{hline 44}
{txt}        {txt}                                               {c |}      Freq.    Percent      Valid       Cum.
{txt}{hline 54}{hline 1}{c +}{hline 44}
{txt}Valid   No, this is inaccurate. This level needs to be {c |}{res}          2       3.28       7.14       7.14
{txt}        replaced/deleted                               {c |}{res}                                            
{txt}        No, this level needs to be replaced/deleted    {c |}{res}          2       3.28       7.14      14.29
{txt}        Yes, this is accurate                          {c |}{res}         24      39.34      85.71     100.00
{txt}        Total                                          {c |}{res}         28      45.90     100.00           
{txt}Missing                                                {c |}{res}         33      54.10                      
{txt}Total                                                  {c |}{res}         61     100.00                      
{txt}{hline 54}{hline 1}{c BT}{hline 44}

{com}.         replace confirmation = "1" if confirmation == "Yes, this is accurate"
{txt}(24 real changes made)

{com}.         replace confirmation = "0" if regexm(confirmation,"No")
{txt}(4 real changes made)

{com}.         destring confirmation, replace
{txt}confirmation: all characters numeric; {res}replaced {txt}as {res}byte
{txt}(33 missing values generated)
{res}{txt}
{com}.         
.         lab var confirmation "Confirmation of adequacy of unit"
{txt}
{com}.         lab def confirmation 0 "No, this is not accurate. It should be replaced/deleted" 1 "Yes, this is accurate"
{txt}
{com}.         lab val confirmation confirmation
{txt}
{com}.         
.         fre confirmation
{res}
{txt}confirmation {hline 2} Confirmation of adequacy of unit
{txt}{hline 48}{hline 1}{c TT}{hline 44}
{txt}        {txt}                                         {c |}      Freq.    Percent      Valid       Cum.
{txt}{hline 48}{hline 1}{c +}{hline 44}
{txt}Valid   0 No, this is not accurate. It should be {c |}{res}          4       6.56      14.29      14.29
{txt}          replaced/deleted                       {c |}{res}                                            
{txt}        1 Yes, this is accurate                  {c |}{res}         24      39.34      85.71     100.00
{txt}        Total                                    {c |}{res}         28      45.90     100.00           
{txt}Missing .                                        {c |}{res}         33      54.10                      
{txt}Total                                            {c |}{res}         61     100.00                      
{txt}{hline 48}{hline 1}{c BT}{hline 44}

{com}.         
.         order confirmation, after(unit_num)
{txt}
{com}.         
.         * Creating variable about asked_survey (should be updated)
.         
.         gen asked_survey = 0
{txt}
{com}.         replace asked_survey = 1 if confirmation == 1
{txt}(24 real changes made)

{com}.         lab var asked_survey "Survey question asked to respondent"
{txt}
{com}.         lab def yesno 0 "No" 1 "Yes"
{txt}
{com}.         lab val asked_survey yesno
{txt}
{com}.         order asked_survey, after(confirmation)
{txt}
{com}.         
.         * title_bur
.         
.         lab var title_bur "Title of the highest-level bureaucrat in unit"
{txt}
{com}.         
.         gen test_title_bur = (title_bur != "")
{txt}
{com}.         replace test_title_bur = . if asked_survey == 0
{txt}(37 real changes made, 37 to missing)

{com}.         fre test_title_bur
{res}
{txt}test_title_bur
{txt}{hline 9}{hline 1}{c TT}{hline 44}
{txt}        {txt}  {c |}      Freq.    Percent      Valid       Cum.
{txt}{hline 9}{hline 1}{c +}{hline 44}
{txt}Valid   1 {c |}{res}         24      39.34     100.00     100.00
{txt}Missing . {c |}{res}         37      60.66                      
{txt}Total     {c |}{res}         61     100.00                      
{txt}{hline 9}{hline 1}{c BT}{hline 44}

{com}.         assert inlist(test_title_bur,.,1)
{txt}
{com}.         
.         drop test_title_bur
{txt}
{com}.         
.         * elecpol_ovrsee
.         
.         lab var elecpol_ovrsee "Any politicians in unit overseeing service delivery"
{txt}
{com}.         replace elecpol_ovrsee = "0" if elecpol_ovrsee == "No"
{txt}(2 real changes made)

{com}.         replace elecpol_ovrsee = "1" if elecpol_ovrsee == "Yes"
{txt}(23 real changes made)

{com}.         destring elecpol_ovrsee, replace
{txt}elecpol_ovrsee: all characters numeric; {res}replaced {txt}as {res}byte
{txt}(36 missing values generated)
{res}{txt}
{com}.         lab val elecpol_ovrsee yesno
{txt}
{com}.         
.         fre elecpol_ovrsee
{res}
{txt}elecpol_ovrsee {hline 2} Any politicians in unit overseeing service delivery
{txt}{hline 13}{hline 1}{c TT}{hline 44}
{txt}        {txt}      {c |}      Freq.    Percent      Valid       Cum.
{txt}{hline 13}{hline 1}{c +}{hline 44}
{txt}Valid   0 No  {c |}{res}          2       3.28       8.00       8.00
{txt}        1 Yes {c |}{res}         23      37.70      92.00     100.00
{txt}        Total {c |}{res}         25      40.98     100.00           
{txt}Missing .     {c |}{res}         36      59.02                      
{txt}Total         {c |}{res}         61     100.00                      
{txt}{hline 13}{hline 1}{c BT}{hline 44}

{com}.         
.         gen test_elecpol_ovrsee = (elecpol_ovrsee != .)
{txt}
{com}.         replace test_elecpol_ovrsee = . if asked_survey == 0
{txt}(37 real changes made, 37 to missing)

{com}.         fre test_elecpol_ovrsee
{res}
{txt}test_elecpol_ovrsee
{txt}{hline 9}{hline 1}{c TT}{hline 44}
{txt}        {txt}  {c |}      Freq.    Percent      Valid       Cum.
{txt}{hline 9}{hline 1}{c +}{hline 44}
{txt}Valid   1 {c |}{res}         24      39.34     100.00     100.00
{txt}Missing . {c |}{res}         37      60.66                      
{txt}Total     {c |}{res}         61     100.00                      
{txt}{hline 9}{hline 1}{c BT}{hline 44}

{com}.         assert inlist(test_elecpol_ovrsee,.,1)
{txt}
{com}.         
.         drop test_elecpol_ovrsee
{txt}
{com}.         
.         * title_elecpol
.         
.         lab var title_elecpol "Title of the highest-level elected politician in unit"
{txt}
{com}.         
.         gen test_title_elecpol = (title_elecpol != "")
{txt}
{com}.         replace test_title_elecpol = . if asked_survey == 0
{txt}(37 real changes made, 37 to missing)

{com}.         replace test_title_elecpol = . if elecpol_ovrsee == 0
{txt}(1 real change made, 1 to missing)

{com}.         fre test_title_elecpol
{res}
{txt}test_title_elecpol
{txt}{hline 9}{hline 1}{c TT}{hline 44}
{txt}        {txt}  {c |}      Freq.    Percent      Valid       Cum.
{txt}{hline 9}{hline 1}{c +}{hline 44}
{txt}Valid   1 {c |}{res}         23      37.70     100.00     100.00
{txt}Missing . {c |}{res}         38      62.30                      
{txt}Total     {c |}{res}         61     100.00                      
{txt}{hline 9}{hline 1}{c BT}{hline 44}

{com}.         assert inlist(test_title_elecpol,.,1)
{txt}
{com}.         
.         drop test_title_elecpol
{txt}
{com}.         
.         * aptpol_d
.         
.         fre aptpol_d
{res}
{txt}aptpol_d
{txt}{hline 38}{hline 1}{c TT}{hline 44}
{txt}        {txt}                               {c |}      Freq.    Percent      Valid       Cum.
{txt}{hline 38}{hline 1}{c +}{hline 44}
{txt}Valid   Do not know / Refuse to answer {c |}{res}          1       1.64       4.00       4.00
{txt}        No                             {c |}{res}         15      24.59      60.00      64.00
{txt}        Yes                            {c |}{res}          9      14.75      36.00     100.00
{txt}        Total                          {c |}{res}         25      40.98     100.00           
{txt}Missing                                {c |}{res}         36      59.02                      
{txt}Total                                  {c |}{res}         61     100.00                      
{txt}{hline 38}{hline 1}{c BT}{hline 44}

{com}.         
.         lab var aptpol_d "Politician appointed by higher politician in unit"
{txt}
{com}.         replace aptpol_d = "0" if aptpol_d == "No"
{txt}(15 real changes made)

{com}.         replace aptpol_d = "1" if aptpol_d == "Yes"
{txt}(9 real changes made)

{com}.         replace aptpol_d = "-98" if aptpol_d == "Do not know / Refuse to answer"
{txt}(1 real change made)

{com}.         destring aptpol_d, replace
{txt}aptpol_d: all characters numeric; {res}replaced {txt}as {res}byte
{txt}(36 missing values generated)
{res}{txt}
{com}.         lab val aptpol_d yesno
{txt}
{com}.         
.         fre aptpol_d
{res}
{txt}aptpol_d {hline 2} Politician appointed by higher politician in unit
{txt}{hline 15}{hline 1}{c TT}{hline 44}
{txt}        {txt}        {c |}      Freq.    Percent      Valid       Cum.
{txt}{hline 15}{hline 1}{c +}{hline 44}
{txt}Valid   -98     {c |}{res}          1       1.64       4.00       4.00
{txt}        0   No  {c |}{res}         15      24.59      60.00      64.00
{txt}        1   Yes {c |}{res}          9      14.75      36.00     100.00
{txt}        Total   {c |}{res}         25      40.98     100.00           
{txt}Missing .       {c |}{res}         36      59.02                      
{txt}Total           {c |}{res}         61     100.00                      
{txt}{hline 15}{hline 1}{c BT}{hline 44}

{com}.         
.         gen test_aptpol_d = (aptpol_d != .)
{txt}
{com}.         replace test_aptpol_d = . if asked_survey == 0
{txt}(37 real changes made, 37 to missing)

{com}.         fre test_aptpol_d
{res}
{txt}test_aptpol_d
{txt}{hline 9}{hline 1}{c TT}{hline 44}
{txt}        {txt}  {c |}      Freq.    Percent      Valid       Cum.
{txt}{hline 9}{hline 1}{c +}{hline 44}
{txt}Valid   1 {c |}{res}         24      39.34     100.00     100.00
{txt}Missing . {c |}{res}         37      60.66                      
{txt}Total     {c |}{res}         61     100.00                      
{txt}{hline 9}{hline 1}{c BT}{hline 44}

{com}.         assert inlist(test_aptpol_d,.,1)
{txt}
{com}.         
.         drop test_aptpol_d
{txt}
{com}.         
.         * pol_exist_d
.         
.         gen pol_exist_d = 0
{txt}
{com}.         replace pol_exist_d = 1 if aptpol_d == 1 | elecpol_ovrsee == 1
{txt}(23 real changes made)

{com}.         replace pol_exist_d = . if asked_survey == 0
{txt}(37 real changes made, 37 to missing)

{com}.         lab val pol_exist_d yesno
{txt}
{com}.         lab var pol_exist_d "1 if we have either an appointed or elected politician"
{txt}
{com}.         
.         fre pol_exist_d
{res}
{txt}pol_exist_d {hline 2} 1 if we have either an appointed or elected politician
{txt}{hline 13}{hline 1}{c TT}{hline 44}
{txt}        {txt}      {c |}      Freq.    Percent      Valid       Cum.
{txt}{hline 13}{hline 1}{c +}{hline 44}
{txt}Valid   0 No  {c |}{res}          1       1.64       4.17       4.17
{txt}        1 Yes {c |}{res}         23      37.70      95.83     100.00
{txt}        Total {c |}{res}         24      39.34     100.00           
{txt}Missing .     {c |}{res}         37      60.66                      
{txt}Total         {c |}{res}         61     100.00                      
{txt}{hline 13}{hline 1}{c BT}{hline 44}

{com}.         order pol_exist_d, after(aptpol_d)
{txt}
{com}.         
.         * title_aptpol
.         
.         lab var title_aptpol "Title of the highest-level appointed politician in unit"
{txt}
{com}.         
.         gen test_title_aptpol = (title_aptpol != "")
{txt}
{com}.         replace test_title_aptpol = . if asked_survey == 0 
{txt}(37 real changes made, 37 to missing)

{com}.         replace test_title_aptpol = . if aptpol_d == 0 | aptpol_d == -98
{txt}(15 real changes made, 15 to missing)

{com}.         fre test_title_aptpol
{res}
{txt}test_title_aptpol
{txt}{hline 9}{hline 1}{c TT}{hline 44}
{txt}        {txt}  {c |}      Freq.    Percent      Valid       Cum.
{txt}{hline 9}{hline 1}{c +}{hline 44}
{txt}Valid   1 {c |}{res}          9      14.75     100.00     100.00
{txt}Missing . {c |}{res}         52      85.25                      
{txt}Total     {c |}{res}         61     100.00                      
{txt}{hline 9}{hline 1}{c BT}{hline 44}

{com}.         assert inlist(test_title_aptpol,.,1)
{txt}
{com}.         
.         drop test_title_aptpol
{txt}
{com}.         
.         * who_aptpol
.         
.         lab var who_aptpol "Who appoints the highest-level appointed politician in unit"
{txt}
{com}.         
.         gen test_who_aptpol = (who_aptpol != "")
{txt}
{com}.         replace test_who_aptpol = . if asked_survey == 0 
{txt}(37 real changes made, 37 to missing)

{com}.         replace test_who_aptpol = . if aptpol_d == 0 | aptpol_d == -98
{txt}(15 real changes made, 15 to missing)

{com}.         fre test_who_aptpol
{res}
{txt}test_who_aptpol
{txt}{hline 9}{hline 1}{c TT}{hline 44}
{txt}        {txt}  {c |}      Freq.    Percent      Valid       Cum.
{txt}{hline 9}{hline 1}{c +}{hline 44}
{txt}Valid   1 {c |}{res}          9      14.75     100.00     100.00
{txt}Missing . {c |}{res}         52      85.25                      
{txt}Total     {c |}{res}         61     100.00                      
{txt}{hline 9}{hline 1}{c BT}{hline 44}

{com}.         assert inlist(test_who_aptpol,.,1)
{txt}
{com}.         
.         drop test_who_aptpol
{txt}
{com}.         
.         * mostinf_servdel
.         
.         lab var mostinf_servdel "More influential in determining quality of service"
{txt}
{com}.         
.         replace mostinf_servdel = "1" if regexm(mostinf_servdel,"Elected much more")
{txt}(5 real changes made)

{com}.         replace mostinf_servdel = "2" if regexm(mostinf_servdel,"Elected slightly more")
{txt}(0 real changes made)

{com}.         replace mostinf_servdel = "3" if regexm(mostinf_servdel,"About the same")
{txt}(1 real change made)

{com}.         replace mostinf_servdel = "4" if regexm(mostinf_servdel,"Appointed slightly more")
{txt}(0 real changes made)

{com}.         replace mostinf_servdel = "5" if regexm(mostinf_servdel,"Appointed much more")
{txt}(3 real changes made)

{com}.         destring mostinf_servdel, replace
{txt}mostinf_servdel: all characters numeric; {res}replaced {txt}as {res}byte
{txt}(52 missing values generated)
{res}{txt}
{com}.         lab def mostinf_servdel 1 "Elected much more influential" 2 "Elected slightly more influential" 3 "About the same" 4 "Appointed slightly more influential" 5 "Appointed much more influential"
{txt}
{com}.         lab val mostinf_servdel mostinf_servdel
{txt}
{com}.         
.         fre mostinf_servdel
{res}
{txt}mostinf_servdel {hline 2} More influential in determining quality of service
{txt}{hline 41}{hline 1}{c TT}{hline 44}
{txt}        {txt}                                  {c |}      Freq.    Percent      Valid       Cum.
{txt}{hline 41}{hline 1}{c +}{hline 44}
{txt}Valid   1 Elected much more influential   {c |}{res}          5       8.20      55.56      55.56
{txt}        3 About the same                  {c |}{res}          1       1.64      11.11      66.67
{txt}        5 Appointed much more influential {c |}{res}          3       4.92      33.33     100.00
{txt}        Total                             {c |}{res}          9      14.75     100.00           
{txt}Missing .                                 {c |}{res}         52      85.25                      
{txt}Total                                     {c |}{res}         61     100.00                      
{txt}{hline 41}{hline 1}{c BT}{hline 44}

{com}.         
.         gen test_mostinf_servdel = (mostinf_servdel != .)
{txt}
{com}.         replace test_mostinf_servdel = . if asked_survey == 0 
{txt}(37 real changes made, 37 to missing)

{com}.         replace test_mostinf_servdel = . if (inlist(aptpol_d,0,-98) | elecpol_ovrsee == 0)
{txt}(15 real changes made, 15 to missing)

{com}.         fre test_mostinf_servdel
{res}
{txt}test_mostinf_servdel
{txt}{hline 9}{hline 1}{c TT}{hline 44}
{txt}        {txt}  {c |}      Freq.    Percent      Valid       Cum.
{txt}{hline 9}{hline 1}{c +}{hline 44}
{txt}Valid   1 {c |}{res}          9      14.75     100.00     100.00
{txt}Missing . {c |}{res}         52      85.25                      
{txt}Total     {c |}{res}         61     100.00                      
{txt}{hline 9}{hline 1}{c BT}{hline 44}

{com}.         assert inlist(test_mostinf_servdel,.,1)
{txt}
{com}.         
.         drop test_mostinf_servdel
{txt}
{com}.         
.         * educ_elecpolbur
.         
.         lab var educ_elecpolbur "More educated bureaucrat or politician (elec. politician)"
{txt}
{com}.         
.         fre educ_elecpolbur
{res}
{txt}educ_elecpolbur {hline 2} More educated bureaucrat or politician (elec. politician)
{txt}{hline 55}{hline 1}{c TT}{hline 44}
{txt}        {txt}                                                {c |}      Freq.    Percent      Valid       Cum.
{txt}{hline 55}{hline 1}{c +}{hline 44}
{txt}Valid   About the same level of education               {c |}{res}          4       6.56      17.39      17.39
{txt}        Bureaucrats much more educated than Politicians {c |}{res}         13      21.31      56.52      73.91
{txt}        Bureaucrats slightly more educated than         {c |}{res}          6       9.84      26.09     100.00
{txt}        Politicians                                     {c |}{res}                                            
{txt}        Total                                           {c |}{res}         23      37.70     100.00           
{txt}Missing                                                 {c |}{res}         38      62.30                      
{txt}Total                                                   {c |}{res}         61     100.00                      
{txt}{hline 55}{hline 1}{c BT}{hline 44}

{com}.         
.         replace educ_elecpolbur = "1" if regexm(educ_elecpolbur,"Bureaucrats much more educated")
{txt}(13 real changes made)

{com}.         replace educ_elecpolbur = "2" if regexm(educ_elecpolbur,"Bureaucrats slightly more educated")
{txt}(6 real changes made)

{com}.         replace educ_elecpolbur = "3" if regexm(educ_elecpolbur,"About the same")
{txt}(4 real changes made)

{com}.         replace educ_elecpolbur = "4" if regexm(educ_elecpolbur,"Politicians slightly more educated")
{txt}(0 real changes made)

{com}.         replace educ_elecpolbur = "5" if regexm(educ_elecpolbur,"Politicians much more educated")
{txt}(0 real changes made)

{com}.         destring educ_elecpolbur, replace
{txt}educ_elecpolbur: all characters numeric; {res}replaced {txt}as {res}byte
{txt}(38 missing values generated)
{res}{txt}
{com}.         lab def educ_elecpolbur 1 "Bureaucrats much more educated" 2 "Bureaucrats slightly more educated" 3 "About the same" 4 "Politicians slightly more educated" 5 "Politicians much more educated"
{txt}
{com}.         lab val educ_elecpolbur educ_elecpolbur
{txt}
{com}.         
.         fre educ_elecpolbur
{res}
{txt}educ_elecpolbur {hline 2} More educated bureaucrat or politician (elec. politician)
{txt}{hline 44}{hline 1}{c TT}{hline 44}
{txt}        {txt}                                     {c |}      Freq.    Percent      Valid       Cum.
{txt}{hline 44}{hline 1}{c +}{hline 44}
{txt}Valid   1 Bureaucrats much more educated     {c |}{res}         13      21.31      56.52      56.52
{txt}        2 Bureaucrats slightly more educated {c |}{res}          6       9.84      26.09      82.61
{txt}        3 About the same                     {c |}{res}          4       6.56      17.39     100.00
{txt}        Total                                {c |}{res}         23      37.70     100.00           
{txt}Missing .                                    {c |}{res}         38      62.30                      
{txt}Total                                        {c |}{res}         61     100.00                      
{txt}{hline 44}{hline 1}{c BT}{hline 44}

{com}.         
.         gen test_educ_elecpolbur = (educ_elecpolbur != .)
{txt}
{com}.         replace test_educ_elecpolbur = . if asked_survey == 0 
{txt}(37 real changes made, 37 to missing)

{com}.         replace test_educ_elecpolbur = . if elecpol_ovrsee == 0
{txt}(1 real change made, 1 to missing)

{com}.         fre test_educ_elecpolbur
{res}
{txt}test_educ_elecpolbur
{txt}{hline 9}{hline 1}{c TT}{hline 44}
{txt}        {txt}  {c |}      Freq.    Percent      Valid       Cum.
{txt}{hline 9}{hline 1}{c +}{hline 44}
{txt}Valid   1 {c |}{res}         23      37.70     100.00     100.00
{txt}Missing . {c |}{res}         38      62.30                      
{txt}Total     {c |}{res}         61     100.00                      
{txt}{hline 9}{hline 1}{c BT}{hline 44}

{com}.         assert inlist(test_educ_elecpolbur,.,1)
{txt}
{com}.         
.         drop test_educ_elecpolbur
{txt}
{com}.         
.         * educ_apolbur
.         
.         lab var educ_apolbur "More educated bureaucrat or politician (app. politician) "
{txt}
{com}.         
.         fre educ_apolbur
{res}
{txt}educ_apolbur {hline 2} More educated bureaucrat or politician (app. politician) 
{txt}{hline 8}{hline 1}{c TT}{hline 44}
{txt}        {txt} {c |}      Freq.    Percent      Valid       Cum.
{txt}{hline 8}{hline 1}{c +}{hline 44}
{txt}Missing  {c |}{res}         61     100.00                      
{txt}{hline 8}{hline 1}{c BT}{hline 44}

{com}.         
.         replace educ_apolbur = "1" if regexm(educ_apolbur,"Bureaucrats much more educated")
{txt}(0 real changes made)

{com}.         replace educ_apolbur = "2" if regexm(educ_apolbur,"Bureaucrats slightly more educated")
{txt}(0 real changes made)

{com}.         replace educ_apolbur = "3" if regexm(educ_apolbur,"About the same")
{txt}(0 real changes made)

{com}.         replace educ_apolbur = "4" if regexm(educ_apolbur,"Politicians slightly more educated")
{txt}(0 real changes made)

{com}.         replace educ_apolbur = "5" if regexm(educ_apolbur,"Politicians much more educated")
{txt}(0 real changes made)

{com}.         destring educ_apolbur, replace
{txt}educ_apolbur: all characters numeric; {res}replaced {txt}as {res}byte
{txt}(61 missing values generated)
{res}{txt}
{com}.         lab def educ_apolbur 1 "Bureaucrats much more educated" 2 "Bureaucrats slightly more educated" 3 "About the same" 4 "Politicians slightly more educated" 5 "Politicians much more educated"
{txt}
{com}.         lab val educ_apolbur educ_apolbur
{txt}
{com}.         
.         fre educ_apolbur
{res}
{txt}educ_apolbur {hline 2} More educated bureaucrat or politician (app. politician) 
{txt}{hline 13}{hline 1}{c TT}{hline 44}
{txt}        {txt}      {c |}      Freq.    Percent      Valid       Cum.
{txt}{hline 13}{hline 1}{c +}{hline 44}
{txt}Missing .     {c |}{res}         61     100.00                      
{txt}{hline 13}{hline 1}{c BT}{hline 44}

{com}.         
.         gen test_educ_apolbur = (educ_apolbur != .)
{txt}
{com}.         replace test_educ_apolbur = . if asked_survey == 0
{txt}(37 real changes made, 37 to missing)

{com}.         replace test_educ_apolbur = . if aptpol_d == 0
{txt}(14 real changes made, 14 to missing)

{com}.         replace test_educ_apolbur = . if elecpol_ovrsee == 1 
{txt}(10 real changes made, 10 to missing)

{com}.         fre test_educ_apolbur
{res}
{txt}test_educ_apolbur
{txt}{hline 9}{hline 1}{c TT}{hline 44}
{txt}        {txt}  {c |}      Freq.    Percent      Valid       Cum.
{txt}{hline 9}{hline 1}{c +}{hline 44}
{txt}Missing . {c |}{res}         61     100.00                      
{txt}{hline 9}{hline 1}{c BT}{hline 44}

{com}.         assert inlist(test_educ_apolbur,.,1)
{txt}
{com}.         
.         drop test_educ_apolbur
{txt}
{com}.         
.         * slry_elecpolbur
.         
.         lab var slry_elecpolbur "Earning more bureaucrat or politician (elec. politician)"
{txt}
{com}.         
.         fre slry_elecpolbur
{res}
{txt}slry_elecpolbur {hline 2} Earning more bureaucrat or politician (elec. politician)
{txt}{hline 55}{hline 1}{c TT}{hline 44}
{txt}        {txt}                                                {c |}      Freq.    Percent      Valid       Cum.
{txt}{hline 55}{hline 1}{c +}{hline 44}
{txt}Valid   Both earn about the same                        {c |}{res}          4       6.56      17.39      17.39
{txt}        Bureaucrats earn much more than Politicians     {c |}{res}          5       8.20      21.74      39.13
{txt}        Bureaucrats earn slightly more than Politicians {c |}{res}          3       4.92      13.04      52.17
{txt}        Politicians earn much more than Bureaucrats     {c |}{res}          6       9.84      26.09      78.26
{txt}        Politicians earn slightly more than Bureaucrats {c |}{res}          5       8.20      21.74     100.00
{txt}        Total                                           {c |}{res}         23      37.70     100.00           
{txt}Missing                                                 {c |}{res}         38      62.30                      
{txt}Total                                                   {c |}{res}         61     100.00                      
{txt}{hline 55}{hline 1}{c BT}{hline 44}

{com}.         
.         replace slry_elecpolbur = "1" if regexm(slry_elecpolbur,"Bureaucrats earn much")
{txt}(5 real changes made)

{com}.         replace slry_elecpolbur = "2" if regexm(slry_elecpolbur,"Bureaucrats earn slightly")
{txt}(3 real changes made)

{com}.         replace slry_elecpolbur = "3" if regexm(slry_elecpolbur,"Both earn")
{txt}(4 real changes made)

{com}.         replace slry_elecpolbur = "4" if regexm(slry_elecpolbur,"Politicians earn slightly")
{txt}(5 real changes made)

{com}.         replace slry_elecpolbur = "5" if regexm(slry_elecpolbur,"Politicians earn much")
{txt}(6 real changes made)

{com}.         destring slry_elecpolbur, replace
{txt}slry_elecpolbur: all characters numeric; {res}replaced {txt}as {res}byte
{txt}(38 missing values generated)
{res}{txt}
{com}.         lab def slry_elecpolbur 1 "Bureaucrats earn much more" 2 "Bureaucrats earn slightly more" 3 "Both earn the same" 4 "Politicians earn slightly" 5 "Politicians earn much more"
{txt}
{com}.         lab val slry_elecpolbur slry_elecpolbur
{txt}
{com}.         
.         fre slry_elecpolbur
{res}
{txt}slry_elecpolbur {hline 2} Earning more bureaucrat or politician (elec. politician)
{txt}{hline 40}{hline 1}{c TT}{hline 44}
{txt}        {txt}                                 {c |}      Freq.    Percent      Valid       Cum.
{txt}{hline 40}{hline 1}{c +}{hline 44}
{txt}Valid   1 Bureaucrats earn much more     {c |}{res}          5       8.20      21.74      21.74
{txt}        2 Bureaucrats earn slightly more {c |}{res}          3       4.92      13.04      34.78
{txt}        3 Both earn the same             {c |}{res}          4       6.56      17.39      52.17
{txt}        4 Politicians earn slightly      {c |}{res}          5       8.20      21.74      73.91
{txt}        5 Politicians earn much more     {c |}{res}          6       9.84      26.09     100.00
{txt}        Total                            {c |}{res}         23      37.70     100.00           
{txt}Missing .                                {c |}{res}         38      62.30                      
{txt}Total                                    {c |}{res}         61     100.00                      
{txt}{hline 40}{hline 1}{c BT}{hline 44}

{com}.         
.         gen test_slry_elecpolbur = (slry_elecpolbur != .)
{txt}
{com}.         replace test_slry_elecpolbur = . if asked_survey == 0 
{txt}(37 real changes made, 37 to missing)

{com}.         replace test_slry_elecpolbur = . if elecpol_ovrsee == 0
{txt}(1 real change made, 1 to missing)

{com}.         fre test_slry_elecpolbur
{res}
{txt}test_slry_elecpolbur
{txt}{hline 9}{hline 1}{c TT}{hline 44}
{txt}        {txt}  {c |}      Freq.    Percent      Valid       Cum.
{txt}{hline 9}{hline 1}{c +}{hline 44}
{txt}Valid   1 {c |}{res}         23      37.70     100.00     100.00
{txt}Missing . {c |}{res}         38      62.30                      
{txt}Total     {c |}{res}         61     100.00                      
{txt}{hline 9}{hline 1}{c BT}{hline 44}

{com}.         assert inlist(test_slry_elecpolbur,.,1)
{txt}
{com}.         
.         drop test_slry_elecpolbur
{txt}
{com}.         
.         * slry_apolbur
.         
.         lab var slry_apolbur "Earning more bureaucrat or politician (app. politician)"
{txt}
{com}.         
.         fre slry_apolbur
{res}
{txt}slry_apolbur {hline 2} Earning more bureaucrat or politician (app. politician)
{txt}{hline 8}{hline 1}{c TT}{hline 44}
{txt}        {txt} {c |}      Freq.    Percent      Valid       Cum.
{txt}{hline 8}{hline 1}{c +}{hline 44}
{txt}Missing  {c |}{res}         61     100.00                      
{txt}{hline 8}{hline 1}{c BT}{hline 44}

{com}.         
.         replace slry_apolbur = "1" if regexm(slry_apolbur,"Bureaucrats earn much")
{txt}(0 real changes made)

{com}.         replace slry_apolbur = "2" if regexm(slry_apolbur,"Bureaucrats earn slightly")
{txt}(0 real changes made)

{com}.         replace slry_apolbur = "3" if regexm(slry_apolbur,"Both earn")
{txt}(0 real changes made)

{com}.         replace slry_apolbur = "4" if regexm(slry_apolbur,"Politicians earn slightly")
{txt}(0 real changes made)

{com}.         replace slry_apolbur = "5" if regexm(slry_apolbur,"Politicians earn much")
{txt}(0 real changes made)

{com}.         destring slry_apolbur, replace
{txt}slry_apolbur: all characters numeric; {res}replaced {txt}as {res}byte
{txt}(61 missing values generated)
{res}{txt}
{com}.         lab def slry_apolbur 1 "Bureaucrats earn much more" 2 "Bureaucrats earn slightly more" 3 "Both earn the same" 4 "Politicians earn slightly" 5 "Politicians earn much more"
{txt}
{com}.         lab val slry_apolbur slry_apolbur
{txt}
{com}.         
.         fre slry_apolbur
{res}
{txt}slry_apolbur {hline 2} Earning more bureaucrat or politician (app. politician)
{txt}{hline 13}{hline 1}{c TT}{hline 44}
{txt}        {txt}      {c |}      Freq.    Percent      Valid       Cum.
{txt}{hline 13}{hline 1}{c +}{hline 44}
{txt}Missing .     {c |}{res}         61     100.00                      
{txt}{hline 13}{hline 1}{c BT}{hline 44}

{com}.         
.         gen test_slry_apolbur = (slry_apolbur != .)
{txt}
{com}.         replace test_slry_apolbur = . if asked_survey == 0
{txt}(37 real changes made, 37 to missing)

{com}.         replace test_slry_apolbur = . if aptpol_d == 0
{txt}(14 real changes made, 14 to missing)

{com}.         replace test_slry_apolbur = . if elecpol_ovrsee == 1 
{txt}(10 real changes made, 10 to missing)

{com}.         fre test_slry_apolbur
{res}
{txt}test_slry_apolbur
{txt}{hline 9}{hline 1}{c TT}{hline 44}
{txt}        {txt}  {c |}      Freq.    Percent      Valid       Cum.
{txt}{hline 9}{hline 1}{c +}{hline 44}
{txt}Missing . {c |}{res}         61     100.00                      
{txt}{hline 9}{hline 1}{c BT}{hline 44}

{com}.         assert inlist(test_slry_apolbur,.,1)
{txt}
{com}.         
.         drop test_slry_apolbur
{txt}
{com}.         
.         * We merge the payment module
.         
.         merge m:1 responseid using "`payment_module'"
{res}
{txt}{col 5}Result{col 38}# of obs.
{col 5}{hline 41}
{col 5}not matched{col 30}{res}               0
{txt}{col 5}matched{col 30}{res}              61{txt}  (_merge==3)
{col 5}{hline 41}

{com}.         drop _merge
{txt}
{com}.         order donate_d org_donation_id paid_status, after(duration_minutes)
{txt}
{com}.         
.         
.         
.         e

{txt}end of do-file


{com}. do "/Users/fredericcochinard/Dropbox/Expert survey/Code/2.importing_data.do"
{txt}
{com}. 
.         * Purpose: Importing data to run HFC
.         
.         * Setting up globals
.         
.         if "`c(username)'" == "fredericcochinard" {c -(}
.                 
.                 global import_folder "/Users/fredericcochinard/Dropbox/Expert survey/Data/0.survey_dataset/0.import"
.                 global output "/Users/fredericcochinard/Dropbox/Expert survey/Data/0.survey_dataset/1.output"
.                 
.                 {c )-}
{txt}
{com}.                 
.         if "`c(username)'" == "" {c -(}
.         
.                 
.                 {c )-}
{txt}
{com}.         
.         * Looking for renaming folder with problem
.         
.         local myfiles: dir "$import_folder" files "*.xlsx"
{txt}
{com}. 
.         foreach file of local myfiles {c -(}
{txt}  2{com}.                 
.                 local subfile = substr("`file'", 1, .)
{txt}  3{com}.                 local subfile : subinstr local subfile " " "_", all
{txt}  4{com}.                 ! mv "${c -(}import_folder{c )-}/`file'" "${c -(}import_folder{c )-}/`subfile'"
{txt}  5{com}.                 
.                 {c )-}
{txt}

{com}.         
.         * Looking for dataset
.         
.         filelist , dir("$import_folder") pat("*.xlsx")
{res}{txt}Number of files found = {res}1
{txt}
{com}.         
.         gen url = filename
{txt}
{com}.         
.         levelsof url
{txt}`"Expert_survey_February_18,_2025_16.23.xlsx"'

{com}. 
.         local lvlfiles `r(levels)'
{txt}
{com}.         
.         local z = 0
{txt}
{com}.         
.         foreach lvl of local lvlfiles {c -(}
{txt}  2{com}.         
.                 local z = `z' + 1
{txt}  3{com}.                 
.                 local temp : subinstr local lvl `"""' "", all
{txt}  4{com}.                 local url : subinstr local temp "'" "", all
{txt}  5{com}.         
.                 import excel "${c -(}import_folder{c )-}/`url'", first case(lower) clear
{txt}  6{com}.                 
.                 gen num = _n
{txt}  7{com}.                 drop if num == 1
{txt}  8{com}.                 
.                 * Preparing the append
.                 
.                 tempfile data`z'
{txt}  9{com}.                 sa "`data`z''"
{txt} 10{com}.                 
.                 {c )-}
{res}{txt}(1 observation deleted)
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.000001 saved

{com}.                 
.         * We append the dataset to start cleaning
.         
.         use "`data1'", clear
{txt}
{com}.         
.         forvalues x = 2/`z' {c -(}
{txt}  2{com}.         
.                 append using "`data`x''"
{txt}  3{com}.                 
.                 {c )-}
{txt}
{com}.                 
.         duplicates drop

{p 0 4}{txt}Duplicates in terms of {txt} all variables{p_end}

(0 observations are duplicates)

{com}.         
.         * We keep relevant variable
.         drop if recipientemail == "frederic.cochinard@gmail.com"
{txt}(8 observations deleted)

{com}.         drop if recipientemail == "vedpant+spanish@college.harvard.edu"
{txt}(1 observation deleted)

{com}.         drop if recipientemail == "frederic.cochinard+3@gmail.com"
{txt}(1 observation deleted)

{com}.         drop if recipientemail == "frederic.cochinard+1@gmail.com"
{txt}(1 observation deleted)

{com}.         
.         * We remove observation that are not finished
.         drop if finished == "False"
{txt}(9 observations deleted)

{com}.         
.         * We create a save
.         
.         tempfile save_data
{txt}
{com}.         sa "`save_data'"
{txt}file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.000002 saved

{com}.         
.         ******************
.         * Payment module *
.         ******************
.         
.         preserve
{txt}
{com}.         
.         keep responseid method_pay_bank_in_q-q977
{txt}
{com}.         compress
  {txt}variable {bf}method_pay_bank_in_q{sf} was {bf}{res}str237{sf}{txt} now {bf}{res}str24{sf}
  {txt}variable {bf}expert_donation_org{sf} was {bf}{res}str129{sf}{txt} now {bf}{res}str23{sf}
  {txt}variable {bf}q967{sf} was {bf}{res}str236{sf}{txt} now {bf}{res}str65{sf}
  {txt}variable {bf}q978{sf} was {bf}{res}str326{sf}{txt} now {bf}{res}str16{sf}
  {txt}variable {bf}q979{sf} was {bf}{res}str104{sf}{txt} now {bf}{res}str39{sf}
  {txt}variable {bf}q980{sf} was {bf}{res}str95{sf}{txt} now {bf}{res}str11{sf}
  {txt}variable {bf}q987{sf} was {bf}{res}str170{sf}{txt} now {bf}{res}str24{sf}
  {txt}variable {bf}q984{sf} was {bf}{res}str326{sf}{txt} now {bf}{res}str1{sf}
  {txt}variable {bf}q985{sf} was {bf}{res}str104{sf}{txt} now {bf}{res}str1{sf}
  {txt}variable {bf}q986{sf} was {bf}{res}str95{sf}{txt} now {bf}{res}str1{sf}
  {txt}variable {bf}q988{sf} was {bf}{res}str170{sf}{txt} now {bf}{res}str1{sf}
  {txt}variable {bf}q989{sf} was {bf}{res}str559{sf}{txt} now {bf}{res}str1{sf}
  {txt}variable {bf}q990{sf} was {bf}{res}str102{sf}{txt} now {bf}{res}str1{sf}
  {txt}variable {bf}q991{sf} was {bf}{res}str93{sf}{txt} now {bf}{res}str1{sf}
  {txt}variable {bf}q992{sf} was {bf}{res}str170{sf}{txt} now {bf}{res}str1{sf}
  {txt}variable {bf}q998{sf} was {bf}{res}str537{sf}{txt} now {bf}{res}str1{sf}
  {txt}variable {bf}q997{sf} was {bf}{res}str105{sf}{txt} now {bf}{res}str1{sf}
  {txt}variable {bf}q999{sf} was {bf}{res}str104{sf}{txt} now {bf}{res}str1{sf}
  {txt}variable {bf}q1000{sf} was {bf}{res}str95{sf}{txt} now {bf}{res}str1{sf}
  {txt}variable {bf}q1001{sf} was {bf}{res}str170{sf}{txt} now {bf}{res}str1{sf}
  {txt}variable {bf}q977{sf} was {bf}{res}str502{sf}{txt} now {bf}{res}str23{sf}
{txt}  (46,101 bytes saved)

{com}.         
.         * Donate_d
.         
.         gen donate_d = 0
{txt}
{com}.         replace donate_d = 1 if method_pay_bank_in_q == "I prefer to donate"
{txt}(3 real changes made)

{com}.         
.         * Special case
.         replace donate_d = 1 if responseid == "R_4ouc7tR6BFj3gpb" // respondent is refusing to take money in comments
{txt}(1 real change made)

{com}.         replace donate_d = 1 if responseid == "R_4Iow7YzsoT2KTOx" // respondent is writing cancel in comments
{txt}(1 real change made)

{com}.         
.         lab var donate_d "Respondent decided to donate"
{txt}
{com}.         lab def donate_d 0 "No" 1 "Yes"
{txt}
{com}.         lab val donate_d donate_d
{txt}
{com}.         order donate_d, after(responseid)
{txt}
{com}.         
.         * Org
.         
.         gen org_donation_id = "" 
{txt}(11 missing values generated)

{com}.         replace org_donation_id = expert_donation_org if donate_d == 1
{txt}variable {bf}org_donation_id{sf} was {bf}{res}str1{sf}{txt} now {bf}{res}str23{sf}
{txt}(3 real changes made)

{com}.         replace org_donation_id = "No choice" if donate_d == 1 & org_donation_id == ""
{txt}(2 real changes made)

{com}.         lab var org_donation_id "Name of the organization the respondent chose to donate"
{txt}
{com}.         order org_donation_id, after(donate_d)
{txt}
{com}.         
.         * Paid status
.         
.         gen paid_status = 0
{txt}
{com}.         replace paid_status = 2 if donate_d == 1
{txt}(5 real changes made)

{com}.         
.         * Case of payment
.         
.         lab var paid_status "Status of payment of the respondent"
{txt}
{com}.         lab def paid_status 0 "Not yet" 1 "Yes" 2 "Donation"
{txt}
{com}.         lab val paid_status paid_status
{txt}
{com}.         order paid_status, after(org_donation_id)
{txt}
{com}.         
.         keep responseid donate_d org_donation_id paid_status
{txt}
{com}.         
.         tempfile payment_module
{txt}
{com}.         sa "`payment_module'"
{txt}file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.000004 saved

{com}.         
.         restore
{txt}
{com}.         
.         * Main form of survey 
.         keep country full_name recipientemail responseid progress durationinseconds finished userlanguage num_unit confirmation_* ///
>         title_bur* elecpol_ovrsee* title_elecpol* aptpol_d* title_aptpol* who_aptpol* mostinf_servdel* educ_elecpolbur* ///
>         educ_apolbur* slry_elecpolbur* slry_apolbur* fdout_epol_bgt* fdout_apol_bgt* budsect_epol* budsect_apol* acinfexp_epol* /// 
>         acinfexp_apol* understand_epol* understand_apol* acttake_epol* acttake_epol* acttake_apol* acttake_apol* likely* why_likchan* /// 
>         who_apt_bur* who_apt_bur* who_fir_bur* who_fir_bur* ocap_epol* ocap_apol* prio_epol* prio_apol* overall_conf* avg_educ_epol* ///
>         avg_educ_apol* avg_educ_buro* avg_slry_epol* avg_slry_apol* avg_slry_buro* //
{txt}
{com}.         
.         destring durationinseconds progress, replace
{txt}durationinseconds: all characters numeric; {res}replaced {txt}as {res}int
{txt}progress: all characters numeric; {res}replaced {txt}as {res}byte
{txt}
{com}.         replace durationinseconds = round(durationinseconds/60)
{txt}(11 real changes made)

{com}.         ren durationinseconds duration_minutes
{res}{txt}
{com}. 
.         *--
.         
.         local id country full_name recipientemail responseid userlanguage num_unit finished progress duration_minutes
{txt}
{com}.         
.         order `id', first
{txt}
{com}.         duplicates drop `id', force

{p 0 4}{txt}Duplicates in terms of {res} country full_name recipientemail responseid userlanguage num_unit finished progress duration_minutes{p_end}

{txt}(0 observations are duplicates)

{com}.         
.         * Renaming others
.         
.         forvalues x = 1/3 {c -(}
{txt}  2{com}.                 
.                 forvalues y = 1/6 {c -(} 
{txt}  3{com}.                 
.                         cap ren who_apt_bur_`x'_`y'_8_text who_apt_buroth_`x'_`y'
{txt}  4{com}.                         cap ren who_fir_bur_`x'_`y'_8_text who_fir_buroth_`x'_`y'
{txt}  5{com}.                         cap ren acttake_epol_`x'_`y'_9_text acttake_epoloth_`x'_`y'
{txt}  6{com}.                         cap ren acttake_apol_`x'_`y'_9_text acttake_apoloth_`x'_`y'
{txt}  7{com}.                         
.                         {c )-}
{txt}  8{com}.                         
.                 {c )-}
{txt}
{com}.         
.         #delimit ;
{txt}delimiter now ;
{com}.         local var confirmation
>         title_bur 
>         elecpol_ovrsee
>         title_elecpol
>         aptpol_d
>         title_aptpol
>         who_aptpol
>         mostinf_servdel
>         educ_elecpolbur
>         educ_apolbur
>         slry_elecpolbur
>         slry_apolbur
>         fdout_epol_bgt
>         fdout_apol_bgt
>         budsect_epol
>         budsect_apol
>         acinfexp_epol
>         acinfexp_apol
>         understand_epol
>         understand_apol
>         acttake_epol
>         acttake_epoloth
>         acttake_apol
>         acttake_apoloth
>         likely
>         why_likchan
>         who_apt_bur
>         who_apt_buroth
>         who_fir_bur
>         who_fir_buroth
>         ocap_epol
>         ocap_apol
>         prio_epol
>         prio_apol
>         overall_conf
>         avg_educ_epol
>         avg_educ_apol
>         avg_educ_buro
>         avg_slry_epol
>         avg_slry_apol
>         avg_slry_buro
>         
>         ;
{txt}
{com}.                 #delimit cr
{txt}delimiter now cr
{com}. 
.         reshape long `var', i(`id') j(pos) s
{txt}(note: j = _1_1 _1_4 _1_5 _1_6 _2_1 _2_2 _2_4 _2_5 _2_6 _3_1 _3_2 _3_3 _3_4 _3_5 _3_6)
(note: confirmation_1_4 not found)
(note: confirmation_1_5 not found)
(note: confirmation_1_6 not found)
(note: confirmation_2_4 not found)
(note: confirmation_2_5 not found)
(note: confirmation_2_6 not found)
(note: confirmation_3_4 not found)
(note: confirmation_3_5 not found)
(note: confirmation_3_6 not found)

Data{col 36}wide{col 43}->{col 48}long
{hline 77}
Number of obs.                 {res}      11   {txt}->{res}     165
{txt}Number of variables            {res}     615   {txt}->{res}      51
{txt}j variable (15 values)                    ->   {res}pos
{txt}xij variables:
{res}confirmation_1_1 confirmation_1_4 ... confirmation_3_6{txt}->{res}confirmation
title_bur_1_1 title_bur_1_4 ... title_bur_3_6{txt}->{res}title_bur
elecpol_ovrsee_1_1 elecpol_ovrsee_1_4 ... elecpol_ovrsee_3_6{txt}->{res}elecpol_ovrsee
title_elecpol_1_1 title_elecpol_1_4 ... title_elecpol_3_6{txt}->{res}title_elecpol
aptpol_d_1_1 aptpol_d_1_4 ... aptpol_d_3_6{txt}->   {res}aptpol_d
title_aptpol_1_1 title_aptpol_1_4 ... title_aptpol_3_6{txt}->{res}title_aptpol
who_aptpol_1_1 who_aptpol_1_4 ... who_aptpol_3_6{txt}->{res}who_aptpol
mostinf_servdel_1_1 mostinf_servdel_1_4 ... mostinf_servdel_3_6{txt}->{res}mostinf_servdel
educ_elecpolbur_1_1 educ_elecpolbur_1_4 ... educ_elecpolbur_3_6{txt}->{res}educ_elecpolbur
educ_apolbur_1_1 educ_apolbur_1_4 ... educ_apolbur_3_6{txt}->{res}educ_apolbur
slry_elecpolbur_1_1 slry_elecpolbur_1_4 ... slry_elecpolbur_3_6{txt}->{res}slry_elecpolbur
slry_apolbur_1_1 slry_apolbur_1_4 ... slry_apolbur_3_6{txt}->{res}slry_apolbur
fdout_epol_bgt_1_1 fdout_epol_bgt_1_4 ... fdout_epol_bgt_3_6{txt}->{res}fdout_epol_bgt
fdout_apol_bgt_1_1 fdout_apol_bgt_1_4 ... fdout_apol_bgt_3_6{txt}->{res}fdout_apol_bgt
budsect_epol_1_1 budsect_epol_1_4 ... budsect_epol_3_6{txt}->{res}budsect_epol
budsect_apol_1_1 budsect_apol_1_4 ... budsect_apol_3_6{txt}->{res}budsect_apol
acinfexp_epol_1_1 acinfexp_epol_1_4 ... acinfexp_epol_3_6{txt}->{res}acinfexp_epol
acinfexp_apol_1_1 acinfexp_apol_1_4 ... acinfexp_apol_3_6{txt}->{res}acinfexp_apol
understand_epol_1_1 understand_epol_1_4 ... understand_epol_3_6{txt}->{res}understand_epol
understand_apol_1_1 understand_apol_1_4 ... understand_apol_3_6{txt}->{res}understand_apol
acttake_epol_1_1 acttake_epol_1_4 ... acttake_epol_3_6{txt}->{res}acttake_epol
acttake_epoloth_1_1 acttake_epoloth_1_4 ... acttake_epoloth_3_6{txt}->{res}acttake_epoloth
acttake_apol_1_1 acttake_apol_1_4 ... acttake_apol_3_6{txt}->{res}acttake_apol
acttake_apoloth_1_1 acttake_apoloth_1_4 ... acttake_apoloth_3_6{txt}->{res}acttake_apoloth
   likely_1_1 likely_1_4 ... likely_3_6   {txt}->   {res}likely
why_likchan_1_1 why_likchan_1_4 ... why_likchan_3_6{txt}->{res}why_likchan
who_apt_bur_1_1 who_apt_bur_1_4 ... who_apt_bur_3_6{txt}->{res}who_apt_bur
who_apt_buroth_1_1 who_apt_buroth_1_4 ... who_apt_buroth_3_6{txt}->{res}who_apt_buroth
who_fir_bur_1_1 who_fir_bur_1_4 ... who_fir_bur_3_6{txt}->{res}who_fir_bur
who_fir_buroth_1_1 who_fir_buroth_1_4 ... who_fir_buroth_3_6{txt}->{res}who_fir_buroth
ocap_epol_1_1 ocap_epol_1_4 ... ocap_epol_3_6{txt}->{res}ocap_epol
ocap_apol_1_1 ocap_apol_1_4 ... ocap_apol_3_6{txt}->{res}ocap_apol
prio_epol_1_1 prio_epol_1_4 ... prio_epol_3_6{txt}->{res}prio_epol
prio_apol_1_1 prio_apol_1_4 ... prio_apol_3_6{txt}->{res}prio_apol
overall_conf_1_1 overall_conf_1_4 ... overall_conf_3_6{txt}->{res}overall_conf
avg_educ_epol_1_1 avg_educ_epol_1_4 ... avg_educ_epol_3_6{txt}->{res}avg_educ_epol
avg_educ_apol_1_1 avg_educ_apol_1_4 ... avg_educ_apol_3_6{txt}->{res}avg_educ_apol
avg_educ_buro_1_1 avg_educ_buro_1_4 ... avg_educ_buro_3_6{txt}->{res}avg_educ_buro
avg_slry_epol_1_1 avg_slry_epol_1_4 ... avg_slry_epol_3_6{txt}->{res}avg_slry_epol
avg_slry_apol_1_1 avg_slry_apol_1_4 ... avg_slry_apol_3_6{txt}->{res}avg_slry_apol
avg_slry_buro_1_1 avg_slry_buro_1_4 ... avg_slry_buro_3_6{txt}->{res}avg_slry_buro
{txt}{hline 77}

{com}.         
.         * Filter data
.         
.         split pos, p("_")
{res}variables created as string: 
{txt}{col 1}pos1{col 7}pos2{col 13}pos3

{com}.         
.         drop pos1
{txt}
{com}.         ren pos2 case_n_unit
{res}{txt}
{com}.         ren pos3 unit_num
{res}{txt}
{com}.         destring case_n_unit unit_num, replace
{txt}case_n_unit: all characters numeric; {res}replaced {txt}as {res}byte
{txt}unit_num: all characters numeric; {res}replaced {txt}as {res}byte
{txt}
{com}.         order case_n_unit unit_num, after(duration_minutes)
{txt}
{com}.         drop pos
{txt}
{com}.         
.         destring num_unit, replace
{txt}num_unit: all characters numeric; {res}replaced {txt}as {res}byte
{txt}
{com}.         drop if num_unit != case_n_unit
{txt}(104 observations deleted)

{com}.         drop num_unit
{txt}
{com}.         
.         compress
  {txt}variable {bf}country{sf} was {bf}{res}str15{sf}{txt} now {bf}{res}str11{sf}
  {txt}variable {bf}full_name{sf} was {bf}{res}str28{sf}{txt} now {bf}{res}str23{sf}
  {txt}variable {bf}recipientemail{sf} was {bf}{res}str35{sf}{txt} now {bf}{res}str32{sf}
  {txt}variable {bf}userlanguage{sf} was {bf}{res}str13{sf}{txt} now {bf}{res}str2{sf}
  {txt}variable {bf}finished{sf} was {bf}{res}str8{sf}{txt} now {bf}{res}str4{sf}
  {txt}variable {bf}title_bur{sf} was {bf}{res}str448{sf}{txt} now {bf}{res}str235{sf}
  {txt}variable {bf}elecpol_ovrsee{sf} was {bf}{res}str352{sf}{txt} now {bf}{res}str3{sf}
  {txt}variable {bf}title_elecpol{sf} was {bf}{res}str312{sf}{txt} now {bf}{res}str288{sf}
  {txt}variable {bf}aptpol_d{sf} was {bf}{res}str332{sf}{txt} now {bf}{res}str30{sf}
  {txt}variable {bf}who_aptpol{sf} was {bf}{res}str96{sf}{txt} now {bf}{res}str84{sf}
  {txt}variable {bf}mostinf_servdel{sf} was {bf}{res}str256{sf}{txt} now {bf}{res}str44{sf}
  {txt}variable {bf}educ_elecpolbur{sf} was {bf}{res}str258{sf}{txt} now {bf}{res}str51{sf}
  {txt}variable {bf}educ_apolbur{sf} was {bf}{res}str260{sf}{txt} now {bf}{res}str1{sf}
  {txt}variable {bf}slry_elecpolbur{sf} was {bf}{res}str316{sf}{txt} now {bf}{res}str47{sf}
  {txt}variable {bf}slry_apolbur{sf} was {bf}{res}str318{sf}{txt} now {bf}{res}str1{sf}
  {txt}variable {bf}fdout_epol_bgt{sf} was {bf}{res}str373{sf}{txt} now {bf}{res}str19{sf}
  {txt}variable {bf}fdout_apol_bgt{sf} was {bf}{res}str375{sf}{txt} now {bf}{res}str1{sf}
  {txt}variable {bf}budsect_epol{sf} was {bf}{res}str217{sf}{txt} now {bf}{res}str19{sf}
  {txt}variable {bf}budsect_apol{sf} was {bf}{res}str219{sf}{txt} now {bf}{res}str1{sf}
  {txt}variable {bf}acinfexp_epol{sf} was {bf}{res}str216{sf}{txt} now {bf}{res}str19{sf}
  {txt}variable {bf}acinfexp_apol{sf} was {bf}{res}str218{sf}{txt} now {bf}{res}str1{sf}
  {txt}variable {bf}understand_epol{sf} was {bf}{res}str214{sf}{txt} now {bf}{res}str21{sf}
  {txt}variable {bf}understand_apol{sf} was {bf}{res}str216{sf}{txt} now {bf}{res}str21{sf}
  {txt}variable {bf}acttake_epol{sf} was {bf}{res}str247{sf}{txt} now {bf}{res}str163{sf}
  {txt}variable {bf}acttake_epoloth{sf} was {bf}{res}str261{sf}{txt} now {bf}{res}str63{sf}
  {txt}variable {bf}acttake_apol{sf} was {bf}{res}str250{sf}{txt} now {bf}{res}str1{sf}
  {txt}variable {bf}acttake_apoloth{sf} was {bf}{res}str264{sf}{txt} now {bf}{res}str1{sf}
  {txt}variable {bf}likely{sf} was {bf}{res}str159{sf}{txt} now {bf}{res}str18{sf}
  {txt}variable {bf}who_apt_bur{sf} was {bf}{res}str126{sf}{txt} now {bf}{res}str64{sf}
  {txt}variable {bf}who_fir_bur{sf} was {bf}{res}str120{sf}{txt} now {bf}{res}str64{sf}
  {txt}variable {bf}who_fir_buroth{sf} was {bf}{res}str134{sf}{txt} now {bf}{res}str77{sf}
  {txt}variable {bf}ocap_epol{sf} was {bf}{res}str359{sf}{txt} now {bf}{res}str55{sf}
  {txt}variable {bf}ocap_apol{sf} was {bf}{res}str361{sf}{txt} now {bf}{res}str1{sf}
  {txt}variable {bf}prio_epol{sf} was {bf}{res}str209{sf}{txt} now {bf}{res}str73{sf}
  {txt}variable {bf}prio_apol{sf} was {bf}{res}str211{sf}{txt} now {bf}{res}str1{sf}
  {txt}variable {bf}overall_conf{sf} was {bf}{res}str191{sf}{txt} now {bf}{res}str17{sf}
  {txt}variable {bf}avg_educ_buro{sf} was {bf}{res}str117{sf}{txt} now {bf}{res}str101{sf}
  {txt}variable {bf}avg_slry_apol{sf} was {bf}{res}str134{sf}{txt} now {bf}{res}str128{sf}
  {txt}variable {bf}avg_slry_buro{sf} was {bf}{res}str134{sf}{txt} now {bf}{res}str87{sf}
  {txt}variable {bf}confirmation{sf} was {bf}{res}str1148{sf}{txt} now {bf}{res}str63{sf}
{txt}  (462,685 bytes saved)

{com}.         
.         * We edit the label 
.         
.         lab var country "Country"
{txt}
{com}.         lab var full_name  "Full name of recipient"
{txt}
{com}.         lab var recipientemail "Recipient email"
{txt}
{com}.         lab var userlanguage "Language used to answer"
{txt}
{com}.         lab var finished "Completion status"
{txt}
{com}.         lab var progress "Progress"
{txt}
{com}.         lab var duration_minutes "Duration in minutes"
{txt}
{com}.         lab var case_n_unit "Original number of entities"
{txt}
{com}.         lab var unit_num "Unit number"
{txt}
{com}.         
.         * Confirmation
.         
.         fre confirmation
{res}
{txt}confirmation
{txt}{hline 54}{hline 1}{c TT}{hline 44}
{txt}        {txt}                                               {c |}      Freq.    Percent      Valid       Cum.
{txt}{hline 54}{hline 1}{c +}{hline 44}
{txt}Valid   No, this is inaccurate. This level needs to be {c |}{res}          2       3.28       7.14       7.14
{txt}        replaced/deleted                               {c |}{res}                                            
{txt}        No, this level needs to be replaced/deleted    {c |}{res}          2       3.28       7.14      14.29
{txt}        Yes, this is accurate                          {c |}{res}         24      39.34      85.71     100.00
{txt}        Total                                          {c |}{res}         28      45.90     100.00           
{txt}Missing                                                {c |}{res}         33      54.10                      
{txt}Total                                                  {c |}{res}         61     100.00                      
{txt}{hline 54}{hline 1}{c BT}{hline 44}

{com}.         replace confirmation = "1" if confirmation == "Yes, this is accurate"
{txt}(24 real changes made)

{com}.         replace confirmation = "0" if regexm(confirmation,"No")
{txt}(4 real changes made)

{com}.         destring confirmation, replace
{txt}confirmation: all characters numeric; {res}replaced {txt}as {res}byte
{txt}(33 missing values generated)
{res}{txt}
{com}.         
.         lab var confirmation "Confirmation of adequacy of unit"
{txt}
{com}.         lab def confirmation 0 "No, this is not accurate. It should be replaced/deleted" 1 "Yes, this is accurate"
{txt}
{com}.         lab val confirmation confirmation
{txt}
{com}.         
.         fre confirmation
{res}
{txt}confirmation {hline 2} Confirmation of adequacy of unit
{txt}{hline 48}{hline 1}{c TT}{hline 44}
{txt}        {txt}                                         {c |}      Freq.    Percent      Valid       Cum.
{txt}{hline 48}{hline 1}{c +}{hline 44}
{txt}Valid   0 No, this is not accurate. It should be {c |}{res}          4       6.56      14.29      14.29
{txt}          replaced/deleted                       {c |}{res}                                            
{txt}        1 Yes, this is accurate                  {c |}{res}         24      39.34      85.71     100.00
{txt}        Total                                    {c |}{res}         28      45.90     100.00           
{txt}Missing .                                        {c |}{res}         33      54.10                      
{txt}Total                                            {c |}{res}         61     100.00                      
{txt}{hline 48}{hline 1}{c BT}{hline 44}

{com}.         
.         order confirmation, after(unit_num)
{txt}
{com}.         
.         * Creating variable about asked_survey (should be updated)
.         
.         gen asked_survey = 0
{txt}
{com}.         replace asked_survey = 1 if confirmation == 1
{txt}(24 real changes made)

{com}.         lab var asked_survey "Survey question asked to respondent"
{txt}
{com}.         lab def yesno 0 "No" 1 "Yes"
{txt}
{com}.         lab val asked_survey yesno
{txt}
{com}.         order asked_survey, after(confirmation)
{txt}
{com}.         
.         * title_bur
.         
.         lab var title_bur "Title of the highest-level bureaucrat in unit"
{txt}
{com}.         
.         gen test_title_bur = (title_bur != "")
{txt}
{com}.         replace test_title_bur = . if asked_survey == 0
{txt}(37 real changes made, 37 to missing)

{com}.         fre test_title_bur
{res}
{txt}test_title_bur
{txt}{hline 9}{hline 1}{c TT}{hline 44}
{txt}        {txt}  {c |}      Freq.    Percent      Valid       Cum.
{txt}{hline 9}{hline 1}{c +}{hline 44}
{txt}Valid   1 {c |}{res}         24      39.34     100.00     100.00
{txt}Missing . {c |}{res}         37      60.66                      
{txt}Total     {c |}{res}         61     100.00                      
{txt}{hline 9}{hline 1}{c BT}{hline 44}

{com}.         assert inlist(test_title_bur,.,1)
{txt}
{com}.         
.         drop test_title_bur
{txt}
{com}.         
.         * elecpol_ovrsee
.         
.         lab var elecpol_ovrsee "Any politicians in unit overseeing service delivery"
{txt}
{com}.         replace elecpol_ovrsee = "0" if elecpol_ovrsee == "No"
{txt}(2 real changes made)

{com}.         replace elecpol_ovrsee = "1" if elecpol_ovrsee == "Yes"
{txt}(23 real changes made)

{com}.         destring elecpol_ovrsee, replace
{txt}elecpol_ovrsee: all characters numeric; {res}replaced {txt}as {res}byte
{txt}(36 missing values generated)
{res}{txt}
{com}.         lab val elecpol_ovrsee yesno
{txt}
{com}.         
.         fre elecpol_ovrsee
{res}
{txt}elecpol_ovrsee {hline 2} Any politicians in unit overseeing service delivery
{txt}{hline 13}{hline 1}{c TT}{hline 44}
{txt}        {txt}      {c |}      Freq.    Percent      Valid       Cum.
{txt}{hline 13}{hline 1}{c +}{hline 44}
{txt}Valid   0 No  {c |}{res}          2       3.28       8.00       8.00
{txt}        1 Yes {c |}{res}         23      37.70      92.00     100.00
{txt}        Total {c |}{res}         25      40.98     100.00           
{txt}Missing .     {c |}{res}         36      59.02                      
{txt}Total         {c |}{res}         61     100.00                      
{txt}{hline 13}{hline 1}{c BT}{hline 44}

{com}.         
.         gen test_elecpol_ovrsee = (elecpol_ovrsee != .)
{txt}
{com}.         replace test_elecpol_ovrsee = . if asked_survey == 0
{txt}(37 real changes made, 37 to missing)

{com}.         fre test_elecpol_ovrsee
{res}
{txt}test_elecpol_ovrsee
{txt}{hline 9}{hline 1}{c TT}{hline 44}
{txt}        {txt}  {c |}      Freq.    Percent      Valid       Cum.
{txt}{hline 9}{hline 1}{c +}{hline 44}
{txt}Valid   1 {c |}{res}         24      39.34     100.00     100.00
{txt}Missing . {c |}{res}         37      60.66                      
{txt}Total     {c |}{res}         61     100.00                      
{txt}{hline 9}{hline 1}{c BT}{hline 44}

{com}.         assert inlist(test_elecpol_ovrsee,.,1)
{txt}
{com}.         
.         drop test_elecpol_ovrsee
{txt}
{com}.         
.         * title_elecpol
.         
.         lab var title_elecpol "Title of the highest-level elected politician in unit"
{txt}
{com}.         
.         gen test_title_elecpol = (title_elecpol != "")
{txt}
{com}.         replace test_title_elecpol = . if asked_survey == 0
{txt}(37 real changes made, 37 to missing)

{com}.         replace test_title_elecpol = . if elecpol_ovrsee == 0
{txt}(1 real change made, 1 to missing)

{com}.         fre test_title_elecpol
{res}
{txt}test_title_elecpol
{txt}{hline 9}{hline 1}{c TT}{hline 44}
{txt}        {txt}  {c |}      Freq.    Percent      Valid       Cum.
{txt}{hline 9}{hline 1}{c +}{hline 44}
{txt}Valid   1 {c |}{res}         23      37.70     100.00     100.00
{txt}Missing . {c |}{res}         38      62.30                      
{txt}Total     {c |}{res}         61     100.00                      
{txt}{hline 9}{hline 1}{c BT}{hline 44}

{com}.         assert inlist(test_title_elecpol,.,1)
{txt}
{com}.         
.         drop test_title_elecpol
{txt}
{com}.         
.         * aptpol_d
.         
.         fre aptpol_d
{res}
{txt}aptpol_d
{txt}{hline 38}{hline 1}{c TT}{hline 44}
{txt}        {txt}                               {c |}      Freq.    Percent      Valid       Cum.
{txt}{hline 38}{hline 1}{c +}{hline 44}
{txt}Valid   Do not know / Refuse to answer {c |}{res}          1       1.64       4.00       4.00
{txt}        No                             {c |}{res}         15      24.59      60.00      64.00
{txt}        Yes                            {c |}{res}          9      14.75      36.00     100.00
{txt}        Total                          {c |}{res}         25      40.98     100.00           
{txt}Missing                                {c |}{res}         36      59.02                      
{txt}Total                                  {c |}{res}         61     100.00                      
{txt}{hline 38}{hline 1}{c BT}{hline 44}

{com}.         
.         lab var aptpol_d "Politician appointed by higher politician in unit"
{txt}
{com}.         replace aptpol_d = "0" if aptpol_d == "No"
{txt}(15 real changes made)

{com}.         replace aptpol_d = "1" if aptpol_d == "Yes"
{txt}(9 real changes made)

{com}.         replace aptpol_d = "-98" if aptpol_d == "Do not know / Refuse to answer"
{txt}(1 real change made)

{com}.         destring aptpol_d, replace
{txt}aptpol_d: all characters numeric; {res}replaced {txt}as {res}byte
{txt}(36 missing values generated)
{res}{txt}
{com}.         lab val aptpol_d yesno
{txt}
{com}.         
.         fre aptpol_d
{res}
{txt}aptpol_d {hline 2} Politician appointed by higher politician in unit
{txt}{hline 15}{hline 1}{c TT}{hline 44}
{txt}        {txt}        {c |}      Freq.    Percent      Valid       Cum.
{txt}{hline 15}{hline 1}{c +}{hline 44}
{txt}Valid   -98     {c |}{res}          1       1.64       4.00       4.00
{txt}        0   No  {c |}{res}         15      24.59      60.00      64.00
{txt}        1   Yes {c |}{res}          9      14.75      36.00     100.00
{txt}        Total   {c |}{res}         25      40.98     100.00           
{txt}Missing .       {c |}{res}         36      59.02                      
{txt}Total           {c |}{res}         61     100.00                      
{txt}{hline 15}{hline 1}{c BT}{hline 44}

{com}.         
.         gen test_aptpol_d = (aptpol_d != .)
{txt}
{com}.         replace test_aptpol_d = . if asked_survey == 0
{txt}(37 real changes made, 37 to missing)

{com}.         fre test_aptpol_d
{res}
{txt}test_aptpol_d
{txt}{hline 9}{hline 1}{c TT}{hline 44}
{txt}        {txt}  {c |}      Freq.    Percent      Valid       Cum.
{txt}{hline 9}{hline 1}{c +}{hline 44}
{txt}Valid   1 {c |}{res}         24      39.34     100.00     100.00
{txt}Missing . {c |}{res}         37      60.66                      
{txt}Total     {c |}{res}         61     100.00                      
{txt}{hline 9}{hline 1}{c BT}{hline 44}

{com}.         assert inlist(test_aptpol_d,.,1)
{txt}
{com}.         
.         drop test_aptpol_d
{txt}
{com}.         
.         * pol_exist_d
.         
.         gen pol_exist_d = 0
{txt}
{com}.         replace pol_exist_d = 1 if aptpol_d == 1 | elecpol_ovrsee == 1
{txt}(23 real changes made)

{com}.         replace pol_exist_d = . if asked_survey == 0
{txt}(37 real changes made, 37 to missing)

{com}.         lab val pol_exist_d yesno
{txt}
{com}.         lab var pol_exist_d "1 if we have either an appointed or elected politician"
{txt}
{com}.         
.         fre pol_exist_d
{res}
{txt}pol_exist_d {hline 2} 1 if we have either an appointed or elected politician
{txt}{hline 13}{hline 1}{c TT}{hline 44}
{txt}        {txt}      {c |}      Freq.    Percent      Valid       Cum.
{txt}{hline 13}{hline 1}{c +}{hline 44}
{txt}Valid   0 No  {c |}{res}          1       1.64       4.17       4.17
{txt}        1 Yes {c |}{res}         23      37.70      95.83     100.00
{txt}        Total {c |}{res}         24      39.34     100.00           
{txt}Missing .     {c |}{res}         37      60.66                      
{txt}Total         {c |}{res}         61     100.00                      
{txt}{hline 13}{hline 1}{c BT}{hline 44}

{com}.         order pol_exist_d, after(aptpol_d)
{txt}
{com}.         
.         * title_aptpol
.         
.         lab var title_aptpol "Title of the highest-level appointed politician in unit"
{txt}
{com}.         
.         gen test_title_aptpol = (title_aptpol != "")
{txt}
{com}.         replace test_title_aptpol = . if asked_survey == 0 
{txt}(37 real changes made, 37 to missing)

{com}.         replace test_title_aptpol = . if aptpol_d == 0 | aptpol_d == -98
{txt}(15 real changes made, 15 to missing)

{com}.         fre test_title_aptpol
{res}
{txt}test_title_aptpol
{txt}{hline 9}{hline 1}{c TT}{hline 44}
{txt}        {txt}  {c |}      Freq.    Percent      Valid       Cum.
{txt}{hline 9}{hline 1}{c +}{hline 44}
{txt}Valid   1 {c |}{res}          9      14.75     100.00     100.00
{txt}Missing . {c |}{res}         52      85.25                      
{txt}Total     {c |}{res}         61     100.00                      
{txt}{hline 9}{hline 1}{c BT}{hline 44}

{com}.         assert inlist(test_title_aptpol,.,1)
{txt}
{com}.         
.         drop test_title_aptpol
{txt}
{com}.         
.         * who_aptpol
.         
.         lab var who_aptpol "Who appoints the highest-level appointed politician in unit"
{txt}
{com}.         
.         gen test_who_aptpol = (who_aptpol != "")
{txt}
{com}.         replace test_who_aptpol = . if asked_survey == 0 
{txt}(37 real changes made, 37 to missing)

{com}.         replace test_who_aptpol = . if aptpol_d == 0 | aptpol_d == -98
{txt}(15 real changes made, 15 to missing)

{com}.         fre test_who_aptpol
{res}
{txt}test_who_aptpol
{txt}{hline 9}{hline 1}{c TT}{hline 44}
{txt}        {txt}  {c |}      Freq.    Percent      Valid       Cum.
{txt}{hline 9}{hline 1}{c +}{hline 44}
{txt}Valid   1 {c |}{res}          9      14.75     100.00     100.00
{txt}Missing . {c |}{res}         52      85.25                      
{txt}Total     {c |}{res}         61     100.00                      
{txt}{hline 9}{hline 1}{c BT}{hline 44}

{com}.         assert inlist(test_who_aptpol,.,1)
{txt}
{com}.         
.         drop test_who_aptpol
{txt}
{com}.         
.         * mostinf_servdel
.         
.         lab var mostinf_servdel "More influential in determining quality of service"
{txt}
{com}.         
.         replace mostinf_servdel = "1" if regexm(mostinf_servdel,"Elected much more")
{txt}(5 real changes made)

{com}.         replace mostinf_servdel = "2" if regexm(mostinf_servdel,"Elected slightly more")
{txt}(0 real changes made)

{com}.         replace mostinf_servdel = "3" if regexm(mostinf_servdel,"About the same")
{txt}(1 real change made)

{com}.         replace mostinf_servdel = "4" if regexm(mostinf_servdel,"Appointed slightly more")
{txt}(0 real changes made)

{com}.         replace mostinf_servdel = "5" if regexm(mostinf_servdel,"Appointed much more")
{txt}(3 real changes made)

{com}.         destring mostinf_servdel, replace
{txt}mostinf_servdel: all characters numeric; {res}replaced {txt}as {res}byte
{txt}(52 missing values generated)
{res}{txt}
{com}.         lab def mostinf_servdel 1 "Elected much more influential" 2 "Elected slightly more influential" 3 "About the same" 4 "Appointed slightly more influential" 5 "Appointed much more influential"
{txt}
{com}.         lab val mostinf_servdel mostinf_servdel
{txt}
{com}.         
.         fre mostinf_servdel
{res}
{txt}mostinf_servdel {hline 2} More influential in determining quality of service
{txt}{hline 41}{hline 1}{c TT}{hline 44}
{txt}        {txt}                                  {c |}      Freq.    Percent      Valid       Cum.
{txt}{hline 41}{hline 1}{c +}{hline 44}
{txt}Valid   1 Elected much more influential   {c |}{res}          5       8.20      55.56      55.56
{txt}        3 About the same                  {c |}{res}          1       1.64      11.11      66.67
{txt}        5 Appointed much more influential {c |}{res}          3       4.92      33.33     100.00
{txt}        Total                             {c |}{res}          9      14.75     100.00           
{txt}Missing .                                 {c |}{res}         52      85.25                      
{txt}Total                                     {c |}{res}         61     100.00                      
{txt}{hline 41}{hline 1}{c BT}{hline 44}

{com}.         
.         gen test_mostinf_servdel = (mostinf_servdel != .)
{txt}
{com}.         replace test_mostinf_servdel = . if asked_survey == 0 
{txt}(37 real changes made, 37 to missing)

{com}.         replace test_mostinf_servdel = . if (inlist(aptpol_d,0,-98) | elecpol_ovrsee == 0)
{txt}(15 real changes made, 15 to missing)

{com}.         fre test_mostinf_servdel
{res}
{txt}test_mostinf_servdel
{txt}{hline 9}{hline 1}{c TT}{hline 44}
{txt}        {txt}  {c |}      Freq.    Percent      Valid       Cum.
{txt}{hline 9}{hline 1}{c +}{hline 44}
{txt}Valid   1 {c |}{res}          9      14.75     100.00     100.00
{txt}Missing . {c |}{res}         52      85.25                      
{txt}Total     {c |}{res}         61     100.00                      
{txt}{hline 9}{hline 1}{c BT}{hline 44}

{com}.         assert inlist(test_mostinf_servdel,.,1)
{txt}
{com}.         
.         drop test_mostinf_servdel
{txt}
{com}.         
.         * educ_elecpolbur
.         
.         lab var educ_elecpolbur "More educated bureaucrat or politician (elec. politician)"
{txt}
{com}.         
.         fre educ_elecpolbur
{res}
{txt}educ_elecpolbur {hline 2} More educated bureaucrat or politician (elec. politician)
{txt}{hline 55}{hline 1}{c TT}{hline 44}
{txt}        {txt}                                                {c |}      Freq.    Percent      Valid       Cum.
{txt}{hline 55}{hline 1}{c +}{hline 44}
{txt}Valid   About the same level of education               {c |}{res}          4       6.56      17.39      17.39
{txt}        Bureaucrats much more educated than Politicians {c |}{res}         13      21.31      56.52      73.91
{txt}        Bureaucrats slightly more educated than         {c |}{res}          6       9.84      26.09     100.00
{txt}        Politicians                                     {c |}{res}                                            
{txt}        Total                                           {c |}{res}         23      37.70     100.00           
{txt}Missing                                                 {c |}{res}         38      62.30                      
{txt}Total                                                   {c |}{res}         61     100.00                      
{txt}{hline 55}{hline 1}{c BT}{hline 44}

{com}.         
.         replace educ_elecpolbur = "1" if regexm(educ_elecpolbur,"Bureaucrats much more educated")
{txt}(13 real changes made)

{com}.         replace educ_elecpolbur = "2" if regexm(educ_elecpolbur,"Bureaucrats slightly more educated")
{txt}(6 real changes made)

{com}.         replace educ_elecpolbur = "3" if regexm(educ_elecpolbur,"About the same")
{txt}(4 real changes made)

{com}.         replace educ_elecpolbur = "4" if regexm(educ_elecpolbur,"Politicians slightly more educated")
{txt}(0 real changes made)

{com}.         replace educ_elecpolbur = "5" if regexm(educ_elecpolbur,"Politicians much more educated")
{txt}(0 real changes made)

{com}.         destring educ_elecpolbur, replace
{txt}educ_elecpolbur: all characters numeric; {res}replaced {txt}as {res}byte
{txt}(38 missing values generated)
{res}{txt}
{com}.         lab def educ_elecpolbur 1 "Bureaucrats much more educated" 2 "Bureaucrats slightly more educated" 3 "About the same" 4 "Politicians slightly more educated" 5 "Politicians much more educated"
{txt}
{com}.         lab val educ_elecpolbur educ_elecpolbur
{txt}
{com}.         
.         fre educ_elecpolbur
{res}
{txt}educ_elecpolbur {hline 2} More educated bureaucrat or politician (elec. politician)
{txt}{hline 44}{hline 1}{c TT}{hline 44}
{txt}        {txt}                                     {c |}      Freq.    Percent      Valid       Cum.
{txt}{hline 44}{hline 1}{c +}{hline 44}
{txt}Valid   1 Bureaucrats much more educated     {c |}{res}         13      21.31      56.52      56.52
{txt}        2 Bureaucrats slightly more educated {c |}{res}          6       9.84      26.09      82.61
{txt}        3 About the same                     {c |}{res}          4       6.56      17.39     100.00
{txt}        Total                                {c |}{res}         23      37.70     100.00           
{txt}Missing .                                    {c |}{res}         38      62.30                      
{txt}Total                                        {c |}{res}         61     100.00                      
{txt}{hline 44}{hline 1}{c BT}{hline 44}

{com}.         
.         gen test_educ_elecpolbur = (educ_elecpolbur != .)
{txt}
{com}.         replace test_educ_elecpolbur = . if asked_survey == 0 
{txt}(37 real changes made, 37 to missing)

{com}.         replace test_educ_elecpolbur = . if elecpol_ovrsee == 0
{txt}(1 real change made, 1 to missing)

{com}.         fre test_educ_elecpolbur
{res}
{txt}test_educ_elecpolbur
{txt}{hline 9}{hline 1}{c TT}{hline 44}
{txt}        {txt}  {c |}      Freq.    Percent      Valid       Cum.
{txt}{hline 9}{hline 1}{c +}{hline 44}
{txt}Valid   1 {c |}{res}         23      37.70     100.00     100.00
{txt}Missing . {c |}{res}         38      62.30                      
{txt}Total     {c |}{res}         61     100.00                      
{txt}{hline 9}{hline 1}{c BT}{hline 44}

{com}.         assert inlist(test_educ_elecpolbur,.,1)
{txt}
{com}.         
.         drop test_educ_elecpolbur
{txt}
{com}.         
.         * educ_apolbur
.         
.         lab var educ_apolbur "More educated bureaucrat or politician (app. politician) "
{txt}
{com}.         
.         fre educ_apolbur
{res}
{txt}educ_apolbur {hline 2} More educated bureaucrat or politician (app. politician) 
{txt}{hline 8}{hline 1}{c TT}{hline 44}
{txt}        {txt} {c |}      Freq.    Percent      Valid       Cum.
{txt}{hline 8}{hline 1}{c +}{hline 44}
{txt}Missing  {c |}{res}         61     100.00                      
{txt}{hline 8}{hline 1}{c BT}{hline 44}

{com}.         
.         replace educ_apolbur = "1" if regexm(educ_apolbur,"Bureaucrats much more educated")
{txt}(0 real changes made)

{com}.         replace educ_apolbur = "2" if regexm(educ_apolbur,"Bureaucrats slightly more educated")
{txt}(0 real changes made)

{com}.         replace educ_apolbur = "3" if regexm(educ_apolbur,"About the same")
{txt}(0 real changes made)

{com}.         replace educ_apolbur = "4" if regexm(educ_apolbur,"Politicians slightly more educated")
{txt}(0 real changes made)

{com}.         replace educ_apolbur = "5" if regexm(educ_apolbur,"Politicians much more educated")
{txt}(0 real changes made)

{com}.         destring educ_apolbur, replace
{txt}educ_apolbur: all characters numeric; {res}replaced {txt}as {res}byte
{txt}(61 missing values generated)
{res}{txt}
{com}.         lab def educ_apolbur 1 "Bureaucrats much more educated" 2 "Bureaucrats slightly more educated" 3 "About the same" 4 "Politicians slightly more educated" 5 "Politicians much more educated"
{txt}
{com}.         lab val educ_apolbur educ_apolbur
{txt}
{com}.         
.         fre educ_apolbur
{res}
{txt}educ_apolbur {hline 2} More educated bureaucrat or politician (app. politician) 
{txt}{hline 13}{hline 1}{c TT}{hline 44}
{txt}        {txt}      {c |}      Freq.    Percent      Valid       Cum.
{txt}{hline 13}{hline 1}{c +}{hline 44}
{txt}Missing .     {c |}{res}         61     100.00                      
{txt}{hline 13}{hline 1}{c BT}{hline 44}

{com}.         
.         gen test_educ_apolbur = (educ_apolbur != .)
{txt}
{com}.         replace test_educ_apolbur = . if asked_survey == 0
{txt}(37 real changes made, 37 to missing)

{com}.         replace test_educ_apolbur = . if aptpol_d == 0
{txt}(14 real changes made, 14 to missing)

{com}.         replace test_educ_apolbur = . if elecpol_ovrsee == 1 
{txt}(10 real changes made, 10 to missing)

{com}.         fre test_educ_apolbur
{res}
{txt}test_educ_apolbur
{txt}{hline 9}{hline 1}{c TT}{hline 44}
{txt}        {txt}  {c |}      Freq.    Percent      Valid       Cum.
{txt}{hline 9}{hline 1}{c +}{hline 44}
{txt}Missing . {c |}{res}         61     100.00                      
{txt}{hline 9}{hline 1}{c BT}{hline 44}

{com}.         assert inlist(test_educ_apolbur,.,1)
{txt}
{com}.         
.         drop test_educ_apolbur
{txt}
{com}.         
.         * slry_elecpolbur
.         
.         lab var slry_elecpolbur "Earning more bureaucrat or politician (elec. politician)"
{txt}
{com}.         
.         fre slry_elecpolbur
{res}
{txt}slry_elecpolbur {hline 2} Earning more bureaucrat or politician (elec. politician)
{txt}{hline 55}{hline 1}{c TT}{hline 44}
{txt}        {txt}                                                {c |}      Freq.    Percent      Valid       Cum.
{txt}{hline 55}{hline 1}{c +}{hline 44}
{txt}Valid   Both earn about the same                        {c |}{res}          4       6.56      17.39      17.39
{txt}        Bureaucrats earn much more than Politicians     {c |}{res}          5       8.20      21.74      39.13
{txt}        Bureaucrats earn slightly more than Politicians {c |}{res}          3       4.92      13.04      52.17
{txt}        Politicians earn much more than Bureaucrats     {c |}{res}          6       9.84      26.09      78.26
{txt}        Politicians earn slightly more than Bureaucrats {c |}{res}          5       8.20      21.74     100.00
{txt}        Total                                           {c |}{res}         23      37.70     100.00           
{txt}Missing                                                 {c |}{res}         38      62.30                      
{txt}Total                                                   {c |}{res}         61     100.00                      
{txt}{hline 55}{hline 1}{c BT}{hline 44}

{com}.         
.         replace slry_elecpolbur = "1" if regexm(slry_elecpolbur,"Bureaucrats earn much")
{txt}(5 real changes made)

{com}.         replace slry_elecpolbur = "2" if regexm(slry_elecpolbur,"Bureaucrats earn slightly")
{txt}(3 real changes made)

{com}.         replace slry_elecpolbur = "3" if regexm(slry_elecpolbur,"Both earn")
{txt}(4 real changes made)

{com}.         replace slry_elecpolbur = "4" if regexm(slry_elecpolbur,"Politicians earn slightly")
{txt}(5 real changes made)

{com}.         replace slry_elecpolbur = "5" if regexm(slry_elecpolbur,"Politicians earn much")
{txt}(6 real changes made)

{com}.         destring slry_elecpolbur, replace
{txt}slry_elecpolbur: all characters numeric; {res}replaced {txt}as {res}byte
{txt}(38 missing values generated)
{res}{txt}
{com}.         lab def slry_elecpolbur 1 "Bureaucrats earn much more" 2 "Bureaucrats earn slightly more" 3 "Both earn the same" 4 "Politicians earn slightly" 5 "Politicians earn much more"
{txt}
{com}.         lab val slry_elecpolbur slry_elecpolbur
{txt}
{com}.         
.         fre slry_elecpolbur
{res}
{txt}slry_elecpolbur {hline 2} Earning more bureaucrat or politician (elec. politician)
{txt}{hline 40}{hline 1}{c TT}{hline 44}
{txt}        {txt}                                 {c |}      Freq.    Percent      Valid       Cum.
{txt}{hline 40}{hline 1}{c +}{hline 44}
{txt}Valid   1 Bureaucrats earn much more     {c |}{res}          5       8.20      21.74      21.74
{txt}        2 Bureaucrats earn slightly more {c |}{res}          3       4.92      13.04      34.78
{txt}        3 Both earn the same             {c |}{res}          4       6.56      17.39      52.17
{txt}        4 Politicians earn slightly      {c |}{res}          5       8.20      21.74      73.91
{txt}        5 Politicians earn much more     {c |}{res}          6       9.84      26.09     100.00
{txt}        Total                            {c |}{res}         23      37.70     100.00           
{txt}Missing .                                {c |}{res}         38      62.30                      
{txt}Total                                    {c |}{res}         61     100.00                      
{txt}{hline 40}{hline 1}{c BT}{hline 44}

{com}.         
.         gen test_slry_elecpolbur = (slry_elecpolbur != .)
{txt}
{com}.         replace test_slry_elecpolbur = . if asked_survey == 0 
{txt}(37 real changes made, 37 to missing)

{com}.         replace test_slry_elecpolbur = . if elecpol_ovrsee == 0
{txt}(1 real change made, 1 to missing)

{com}.         fre test_slry_elecpolbur
{res}
{txt}test_slry_elecpolbur
{txt}{hline 9}{hline 1}{c TT}{hline 44}
{txt}        {txt}  {c |}      Freq.    Percent      Valid       Cum.
{txt}{hline 9}{hline 1}{c +}{hline 44}
{txt}Valid   1 {c |}{res}         23      37.70     100.00     100.00
{txt}Missing . {c |}{res}         38      62.30                      
{txt}Total     {c |}{res}         61     100.00                      
{txt}{hline 9}{hline 1}{c BT}{hline 44}

{com}.         assert inlist(test_slry_elecpolbur,.,1)
{txt}
{com}.         
.         drop test_slry_elecpolbur
{txt}
{com}.         
.         * slry_apolbur
.         
.         lab var slry_apolbur "Earning more bureaucrat or politician (app. politician)"
{txt}
{com}.         
.         fre slry_apolbur
{res}
{txt}slry_apolbur {hline 2} Earning more bureaucrat or politician (app. politician)
{txt}{hline 8}{hline 1}{c TT}{hline 44}
{txt}        {txt} {c |}      Freq.    Percent      Valid       Cum.
{txt}{hline 8}{hline 1}{c +}{hline 44}
{txt}Missing  {c |}{res}         61     100.00                      
{txt}{hline 8}{hline 1}{c BT}{hline 44}

{com}.         
.         replace slry_apolbur = "1" if regexm(slry_apolbur,"Bureaucrats earn much")
{txt}(0 real changes made)

{com}.         replace slry_apolbur = "2" if regexm(slry_apolbur,"Bureaucrats earn slightly")
{txt}(0 real changes made)

{com}.         replace slry_apolbur = "3" if regexm(slry_apolbur,"Both earn")
{txt}(0 real changes made)

{com}.         replace slry_apolbur = "4" if regexm(slry_apolbur,"Politicians earn slightly")
{txt}(0 real changes made)

{com}.         replace slry_apolbur = "5" if regexm(slry_apolbur,"Politicians earn much")
{txt}(0 real changes made)

{com}.         destring slry_apolbur, replace
{txt}slry_apolbur: all characters numeric; {res}replaced {txt}as {res}byte
{txt}(61 missing values generated)
{res}{txt}
{com}.         lab def slry_apolbur 1 "Bureaucrats earn much more" 2 "Bureaucrats earn slightly more" 3 "Both earn the same" 4 "Politicians earn slightly" 5 "Politicians earn much more"
{txt}
{com}.         lab val slry_apolbur slry_apolbur
{txt}
{com}.         
.         fre slry_apolbur
{res}
{txt}slry_apolbur {hline 2} Earning more bureaucrat or politician (app. politician)
{txt}{hline 13}{hline 1}{c TT}{hline 44}
{txt}        {txt}      {c |}      Freq.    Percent      Valid       Cum.
{txt}{hline 13}{hline 1}{c +}{hline 44}
{txt}Missing .     {c |}{res}         61     100.00                      
{txt}{hline 13}{hline 1}{c BT}{hline 44}

{com}.         
.         gen test_slry_apolbur = (slry_apolbur != .)
{txt}
{com}.         replace test_slry_apolbur = . if asked_survey == 0
{txt}(37 real changes made, 37 to missing)

{com}.         replace test_slry_apolbur = . if aptpol_d == 0
{txt}(14 real changes made, 14 to missing)

{com}.         replace test_slry_apolbur = . if elecpol_ovrsee == 1 
{txt}(10 real changes made, 10 to missing)

{com}.         fre test_slry_apolbur
{res}
{txt}test_slry_apolbur
{txt}{hline 9}{hline 1}{c TT}{hline 44}
{txt}        {txt}  {c |}      Freq.    Percent      Valid       Cum.
{txt}{hline 9}{hline 1}{c +}{hline 44}
{txt}Missing . {c |}{res}         61     100.00                      
{txt}{hline 9}{hline 1}{c BT}{hline 44}

{com}.         assert inlist(test_slry_apolbur,.,1)
{txt}
{com}.         
.         drop test_slry_apolbur
{txt}
{com}.         
.         * We merge the payment module
.         
.         merge m:1 responseid using "`payment_module'"
{res}
{txt}{col 5}Result{col 38}# of obs.
{col 5}{hline 41}
{col 5}not matched{col 30}{res}               0
{txt}{col 5}matched{col 30}{res}              61{txt}  (_merge==3)
{col 5}{hline 41}

{com}.         drop _merge
{txt}
{com}.         order donate_d org_donation_id paid_status, after(duration_minutes)
{txt}
{com}.         
.         
.         
.         e

{txt}end of do-file


{com}. do "/var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//SD44938.000000"
{txt}
{com}. 
.         * Purpose: Importing data to run HFC
.         
.         * Setting up globals
.         
.         if "`c(username)'" == "fredericcochinard" {c -(}
.                 
.                 global import_folder "/Users/fredericcochinard/Dropbox/Expert survey/Data/0.survey_dataset/0.import"
.                 global output "/Users/fredericcochinard/Dropbox/Expert survey/Data/0.survey_dataset/1.output"
.                 
.                 {c )-}
{txt}
{com}.                 
.         if "`c(username)'" == "" {c -(}
.         
.                 
.                 {c )-}
{txt}
{com}.         
.         * Looking for renaming folder with problem
.         
.         local myfiles: dir "$import_folder" files "*.xlsx"
{txt}
{com}. 
.         foreach file of local myfiles {c -(}
{txt}  2{com}.                 
.                 local subfile = substr("`file'", 1, .)
{txt}  3{com}.                 local subfile : subinstr local subfile " " "_", all
{txt}  4{com}.                 ! mv "${c -(}import_folder{c )-}/`file'" "${c -(}import_folder{c )-}/`subfile'"
{txt}  5{com}.                 
.                 {c )-}
{txt}

{com}.         
.         * Looking for dataset
.         
.         filelist , dir("$import_folder") pat("*.xlsx")
{res}{txt}Number of files found = {res}1
{txt}
{com}.         
.         gen url = filename
{txt}
{com}.         
.         levelsof url
{txt}`"Expert_survey_February_18,_2025_16.23.xlsx"'

{com}. 
.         local lvlfiles `r(levels)'
{txt}
{com}.         
.         local z = 0
{txt}
{com}.         
.         foreach lvl of local lvlfiles {c -(}
{txt}  2{com}.         
.                 local z = `z' + 1
{txt}  3{com}.                 
.                 local temp : subinstr local lvl `"""' "", all
{txt}  4{com}.                 local url : subinstr local temp "'" "", all
{txt}  5{com}.         
.                 import excel "${c -(}import_folder{c )-}/`url'", first case(lower) clear
{txt}  6{com}.                 
.                 gen num = _n
{txt}  7{com}.                 drop if num == 1
{txt}  8{com}.                 
.                 * Preparing the append
.                 
.                 tempfile data`z'
{txt}  9{com}.                 sa "`data`z''"
{txt} 10{com}.                 
.                 {c )-}
{res}{txt}(1 observation deleted)
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.000001 saved

{com}.                 
.         * We append the dataset to start cleaning
.         
.         use "`data1'", clear
{txt}
{com}.         
.         forvalues x = 2/`z' {c -(}
{txt}  2{com}.         
.                 append using "`data`x''"
{txt}  3{com}.                 
.                 {c )-}
{txt}
{com}.                 
.         duplicates drop

{p 0 4}{txt}Duplicates in terms of {txt} all variables{p_end}

(0 observations are duplicates)

{com}.         
.         * We keep relevant variable
.         drop if recipientemail == "frederic.cochinard@gmail.com"
{txt}(8 observations deleted)

{com}.         drop if recipientemail == "vedpant+spanish@college.harvard.edu"
{txt}(1 observation deleted)

{com}.         drop if recipientemail == "frederic.cochinard+3@gmail.com"
{txt}(1 observation deleted)

{com}.         drop if recipientemail == "frederic.cochinard+1@gmail.com"
{txt}(1 observation deleted)

{com}.         
.         * We remove observation that are not finished
.         drop if finished == "False"
{txt}(9 observations deleted)

{com}.         
.         * We create a save
.         
.         tempfile save_data
{txt}
{com}.         sa "`save_data'"
{txt}file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.000002 saved

{com}.         
.         ******************
.         * Payment module *
.         ******************
.         
.         preserve
{txt}
{com}.         
.         keep responseid method_pay_bank_in_q-q977
{txt}
{com}.         compress
  {txt}variable {bf}method_pay_bank_in_q{sf} was {bf}{res}str237{sf}{txt} now {bf}{res}str24{sf}
  {txt}variable {bf}expert_donation_org{sf} was {bf}{res}str129{sf}{txt} now {bf}{res}str23{sf}
  {txt}variable {bf}q967{sf} was {bf}{res}str236{sf}{txt} now {bf}{res}str65{sf}
  {txt}variable {bf}q978{sf} was {bf}{res}str326{sf}{txt} now {bf}{res}str16{sf}
  {txt}variable {bf}q979{sf} was {bf}{res}str104{sf}{txt} now {bf}{res}str39{sf}
  {txt}variable {bf}q980{sf} was {bf}{res}str95{sf}{txt} now {bf}{res}str11{sf}
  {txt}variable {bf}q987{sf} was {bf}{res}str170{sf}{txt} now {bf}{res}str24{sf}
  {txt}variable {bf}q984{sf} was {bf}{res}str326{sf}{txt} now {bf}{res}str1{sf}
  {txt}variable {bf}q985{sf} was {bf}{res}str104{sf}{txt} now {bf}{res}str1{sf}
  {txt}variable {bf}q986{sf} was {bf}{res}str95{sf}{txt} now {bf}{res}str1{sf}
  {txt}variable {bf}q988{sf} was {bf}{res}str170{sf}{txt} now {bf}{res}str1{sf}
  {txt}variable {bf}q989{sf} was {bf}{res}str559{sf}{txt} now {bf}{res}str1{sf}
  {txt}variable {bf}q990{sf} was {bf}{res}str102{sf}{txt} now {bf}{res}str1{sf}
  {txt}variable {bf}q991{sf} was {bf}{res}str93{sf}{txt} now {bf}{res}str1{sf}
  {txt}variable {bf}q992{sf} was {bf}{res}str170{sf}{txt} now {bf}{res}str1{sf}
  {txt}variable {bf}q998{sf} was {bf}{res}str537{sf}{txt} now {bf}{res}str1{sf}
  {txt}variable {bf}q997{sf} was {bf}{res}str105{sf}{txt} now {bf}{res}str1{sf}
  {txt}variable {bf}q999{sf} was {bf}{res}str104{sf}{txt} now {bf}{res}str1{sf}
  {txt}variable {bf}q1000{sf} was {bf}{res}str95{sf}{txt} now {bf}{res}str1{sf}
  {txt}variable {bf}q1001{sf} was {bf}{res}str170{sf}{txt} now {bf}{res}str1{sf}
  {txt}variable {bf}q977{sf} was {bf}{res}str502{sf}{txt} now {bf}{res}str23{sf}
{txt}  (46,101 bytes saved)

{com}.         
.         * Donate_d
.         
.         gen donate_d = 0
{txt}
{com}.         replace donate_d = 1 if method_pay_bank_in_q == "I prefer to donate"
{txt}(3 real changes made)

{com}.         
.         * Special case
.         replace donate_d = 1 if responseid == "R_4ouc7tR6BFj3gpb" // respondent is refusing to take money in comments
{txt}(1 real change made)

{com}.         replace donate_d = 1 if responseid == "R_4Iow7YzsoT2KTOx" // respondent is writing cancel in comments
{txt}(1 real change made)

{com}.         
.         lab var donate_d "Respondent decided to donate"
{txt}
{com}.         lab def donate_d 0 "No" 1 "Yes"
{txt}
{com}.         lab val donate_d donate_d
{txt}
{com}.         order donate_d, after(responseid)
{txt}
{com}.         
.         * Org
.         
.         gen org_donation_id = "" 
{txt}(11 missing values generated)

{com}.         replace org_donation_id = expert_donation_org if donate_d == 1
{txt}variable {bf}org_donation_id{sf} was {bf}{res}str1{sf}{txt} now {bf}{res}str23{sf}
{txt}(3 real changes made)

{com}.         replace org_donation_id = "No choice" if donate_d == 1 & org_donation_id == ""
{txt}(2 real changes made)

{com}.         lab var org_donation_id "Name of the organization the respondent chose to donate"
{txt}
{com}.         order org_donation_id, after(donate_d)
{txt}
{com}.         
.         * Paid status
.         
.         gen paid_status = 0
{txt}
{com}.         replace paid_status = 2 if donate_d == 1
{txt}(5 real changes made)

{com}.         
.         * Case of payment
.         
.         lab var paid_status "Status of payment of the respondent"
{txt}
{com}.         lab def paid_status 0 "Not yet" 1 "Yes" 2 "Donation"
{txt}
{com}.         lab val paid_status paid_status
{txt}
{com}.         order paid_status, after(org_donation_id)
{txt}
{com}.         
.         keep responseid donate_d org_donation_id paid_status
{txt}
{com}.         
.         tempfile payment_module
{txt}
{com}.         sa "`payment_module'"
{txt}file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.000004 saved

{com}.         
.         restore
{txt}
{com}.         
.         * Main form of survey 
.         keep country full_name recipientemail responseid progress durationinseconds finished userlanguage num_unit confirmation_* ///
>         title_bur* elecpol_ovrsee* title_elecpol* aptpol_d* title_aptpol* who_aptpol* mostinf_servdel* educ_elecpolbur* ///
>         educ_apolbur* slry_elecpolbur* slry_apolbur* fdout_epol_bgt* fdout_apol_bgt* budsect_epol* budsect_apol* acinfexp_epol* /// 
>         acinfexp_apol* understand_epol* understand_apol* acttake_epol* acttake_epol* acttake_apol* acttake_apol* likely* why_likchan* /// 
>         who_apt_bur* who_apt_bur* who_fir_bur* who_fir_bur* ocap_epol* ocap_apol* prio_epol* prio_apol* overall_conf* avg_educ_epol* ///
>         avg_educ_apol* avg_educ_buro* avg_slry_epol* avg_slry_apol* avg_slry_buro* //
{txt}
{com}.         
.         destring durationinseconds progress, replace
{txt}durationinseconds: all characters numeric; {res}replaced {txt}as {res}int
{txt}progress: all characters numeric; {res}replaced {txt}as {res}byte
{txt}
{com}.         replace durationinseconds = round(durationinseconds/60)
{txt}(11 real changes made)

{com}.         ren durationinseconds duration_minutes
{res}{txt}
{com}. 
.         *--
.         
.         local id country full_name recipientemail responseid userlanguage num_unit finished progress duration_minutes
{txt}
{com}.         
.         order `id', first
{txt}
{com}.         duplicates drop `id', force

{p 0 4}{txt}Duplicates in terms of {res} country full_name recipientemail responseid userlanguage num_unit finished progress duration_minutes{p_end}

{txt}(0 observations are duplicates)

{com}.         
.         * Renaming others
.         
.         forvalues x = 1/3 {c -(}
{txt}  2{com}.                 
.                 forvalues y = 1/6 {c -(} 
{txt}  3{com}.                 
.                         cap ren who_apt_bur_`x'_`y'_8_text who_apt_buroth_`x'_`y'
{txt}  4{com}.                         cap ren who_fir_bur_`x'_`y'_8_text who_fir_buroth_`x'_`y'
{txt}  5{com}.                         cap ren acttake_epol_`x'_`y'_9_text acttake_epoloth_`x'_`y'
{txt}  6{com}.                         cap ren acttake_apol_`x'_`y'_9_text acttake_apoloth_`x'_`y'
{txt}  7{com}.                         
.                         {c )-}
{txt}  8{com}.                         
.                 {c )-}
{txt}
{com}.         
.         #delimit ;
{txt}delimiter now ;
{com}.         local var confirmation
>         title_bur 
>         elecpol_ovrsee
>         title_elecpol
>         aptpol_d
>         title_aptpol
>         who_aptpol
>         mostinf_servdel
>         educ_elecpolbur
>         educ_apolbur
>         slry_elecpolbur
>         slry_apolbur
>         fdout_epol_bgt
>         fdout_apol_bgt
>         budsect_epol
>         budsect_apol
>         acinfexp_epol
>         acinfexp_apol
>         understand_epol
>         understand_apol
>         acttake_epol
>         acttake_epoloth
>         acttake_apol
>         acttake_apoloth
>         likely
>         why_likchan
>         who_apt_bur
>         who_apt_buroth
>         who_fir_bur
>         who_fir_buroth
>         ocap_epol
>         ocap_apol
>         prio_epol
>         prio_apol
>         overall_conf
>         avg_educ_epol
>         avg_educ_apol
>         avg_educ_buro
>         avg_slry_epol
>         avg_slry_apol
>         avg_slry_buro
>         
>         ;
{txt}
{com}.                 #delimit cr
{txt}delimiter now cr
{com}. 
.         reshape long `var', i(`id') j(pos) s
{txt}(note: j = _1_1 _1_4 _1_5 _1_6 _2_1 _2_2 _2_4 _2_5 _2_6 _3_1 _3_2 _3_3 _3_4 _3_5 _3_6)
(note: confirmation_1_4 not found)
(note: confirmation_1_5 not found)
(note: confirmation_1_6 not found)
(note: confirmation_2_4 not found)
(note: confirmation_2_5 not found)
(note: confirmation_2_6 not found)
(note: confirmation_3_4 not found)
(note: confirmation_3_5 not found)
(note: confirmation_3_6 not found)

Data{col 36}wide{col 43}->{col 48}long
{hline 77}
Number of obs.                 {res}      11   {txt}->{res}     165
{txt}Number of variables            {res}     615   {txt}->{res}      51
{txt}j variable (15 values)                    ->   {res}pos
{txt}xij variables:
{res}confirmation_1_1 confirmation_1_4 ... confirmation_3_6{txt}->{res}confirmation
title_bur_1_1 title_bur_1_4 ... title_bur_3_6{txt}->{res}title_bur
elecpol_ovrsee_1_1 elecpol_ovrsee_1_4 ... elecpol_ovrsee_3_6{txt}->{res}elecpol_ovrsee
title_elecpol_1_1 title_elecpol_1_4 ... title_elecpol_3_6{txt}->{res}title_elecpol
aptpol_d_1_1 aptpol_d_1_4 ... aptpol_d_3_6{txt}->   {res}aptpol_d
title_aptpol_1_1 title_aptpol_1_4 ... title_aptpol_3_6{txt}->{res}title_aptpol
who_aptpol_1_1 who_aptpol_1_4 ... who_aptpol_3_6{txt}->{res}who_aptpol
mostinf_servdel_1_1 mostinf_servdel_1_4 ... mostinf_servdel_3_6{txt}->{res}mostinf_servdel
educ_elecpolbur_1_1 educ_elecpolbur_1_4 ... educ_elecpolbur_3_6{txt}->{res}educ_elecpolbur
educ_apolbur_1_1 educ_apolbur_1_4 ... educ_apolbur_3_6{txt}->{res}educ_apolbur
slry_elecpolbur_1_1 slry_elecpolbur_1_4 ... slry_elecpolbur_3_6{txt}->{res}slry_elecpolbur
slry_apolbur_1_1 slry_apolbur_1_4 ... slry_apolbur_3_6{txt}->{res}slry_apolbur
fdout_epol_bgt_1_1 fdout_epol_bgt_1_4 ... fdout_epol_bgt_3_6{txt}->{res}fdout_epol_bgt
fdout_apol_bgt_1_1 fdout_apol_bgt_1_4 ... fdout_apol_bgt_3_6{txt}->{res}fdout_apol_bgt
budsect_epol_1_1 budsect_epol_1_4 ... budsect_epol_3_6{txt}->{res}budsect_epol
budsect_apol_1_1 budsect_apol_1_4 ... budsect_apol_3_6{txt}->{res}budsect_apol
acinfexp_epol_1_1 acinfexp_epol_1_4 ... acinfexp_epol_3_6{txt}->{res}acinfexp_epol
acinfexp_apol_1_1 acinfexp_apol_1_4 ... acinfexp_apol_3_6{txt}->{res}acinfexp_apol
understand_epol_1_1 understand_epol_1_4 ... understand_epol_3_6{txt}->{res}understand_epol
understand_apol_1_1 understand_apol_1_4 ... understand_apol_3_6{txt}->{res}understand_apol
acttake_epol_1_1 acttake_epol_1_4 ... acttake_epol_3_6{txt}->{res}acttake_epol
acttake_epoloth_1_1 acttake_epoloth_1_4 ... acttake_epoloth_3_6{txt}->{res}acttake_epoloth
acttake_apol_1_1 acttake_apol_1_4 ... acttake_apol_3_6{txt}->{res}acttake_apol
acttake_apoloth_1_1 acttake_apoloth_1_4 ... acttake_apoloth_3_6{txt}->{res}acttake_apoloth
   likely_1_1 likely_1_4 ... likely_3_6   {txt}->   {res}likely
why_likchan_1_1 why_likchan_1_4 ... why_likchan_3_6{txt}->{res}why_likchan
who_apt_bur_1_1 who_apt_bur_1_4 ... who_apt_bur_3_6{txt}->{res}who_apt_bur
who_apt_buroth_1_1 who_apt_buroth_1_4 ... who_apt_buroth_3_6{txt}->{res}who_apt_buroth
who_fir_bur_1_1 who_fir_bur_1_4 ... who_fir_bur_3_6{txt}->{res}who_fir_bur
who_fir_buroth_1_1 who_fir_buroth_1_4 ... who_fir_buroth_3_6{txt}->{res}who_fir_buroth
ocap_epol_1_1 ocap_epol_1_4 ... ocap_epol_3_6{txt}->{res}ocap_epol
ocap_apol_1_1 ocap_apol_1_4 ... ocap_apol_3_6{txt}->{res}ocap_apol
prio_epol_1_1 prio_epol_1_4 ... prio_epol_3_6{txt}->{res}prio_epol
prio_apol_1_1 prio_apol_1_4 ... prio_apol_3_6{txt}->{res}prio_apol
overall_conf_1_1 overall_conf_1_4 ... overall_conf_3_6{txt}->{res}overall_conf
avg_educ_epol_1_1 avg_educ_epol_1_4 ... avg_educ_epol_3_6{txt}->{res}avg_educ_epol
avg_educ_apol_1_1 avg_educ_apol_1_4 ... avg_educ_apol_3_6{txt}->{res}avg_educ_apol
avg_educ_buro_1_1 avg_educ_buro_1_4 ... avg_educ_buro_3_6{txt}->{res}avg_educ_buro
avg_slry_epol_1_1 avg_slry_epol_1_4 ... avg_slry_epol_3_6{txt}->{res}avg_slry_epol
avg_slry_apol_1_1 avg_slry_apol_1_4 ... avg_slry_apol_3_6{txt}->{res}avg_slry_apol
avg_slry_buro_1_1 avg_slry_buro_1_4 ... avg_slry_buro_3_6{txt}->{res}avg_slry_buro
{txt}{hline 77}

{com}.         
.         * Filter data
.         
.         split pos, p("_")
{res}variables created as string: 
{txt}{col 1}pos1{col 7}pos2{col 13}pos3

{com}.         
.         drop pos1
{txt}
{com}.         ren pos2 case_n_unit
{res}{txt}
{com}.         ren pos3 unit_num
{res}{txt}
{com}.         destring case_n_unit unit_num, replace
{txt}case_n_unit: all characters numeric; {res}replaced {txt}as {res}byte
{txt}unit_num: all characters numeric; {res}replaced {txt}as {res}byte
{txt}
{com}.         order case_n_unit unit_num, after(duration_minutes)
{txt}
{com}.         drop pos
{txt}
{com}.         
.         destring num_unit, replace
{txt}num_unit: all characters numeric; {res}replaced {txt}as {res}byte
{txt}
{com}.         drop if num_unit != case_n_unit
{txt}(104 observations deleted)

{com}.         drop num_unit
{txt}
{com}.         
.         compress
  {txt}variable {bf}country{sf} was {bf}{res}str15{sf}{txt} now {bf}{res}str11{sf}
  {txt}variable {bf}full_name{sf} was {bf}{res}str28{sf}{txt} now {bf}{res}str23{sf}
  {txt}variable {bf}recipientemail{sf} was {bf}{res}str35{sf}{txt} now {bf}{res}str32{sf}
  {txt}variable {bf}userlanguage{sf} was {bf}{res}str13{sf}{txt} now {bf}{res}str2{sf}
  {txt}variable {bf}finished{sf} was {bf}{res}str8{sf}{txt} now {bf}{res}str4{sf}
  {txt}variable {bf}title_bur{sf} was {bf}{res}str448{sf}{txt} now {bf}{res}str235{sf}
  {txt}variable {bf}elecpol_ovrsee{sf} was {bf}{res}str352{sf}{txt} now {bf}{res}str3{sf}
  {txt}variable {bf}title_elecpol{sf} was {bf}{res}str312{sf}{txt} now {bf}{res}str288{sf}
  {txt}variable {bf}aptpol_d{sf} was {bf}{res}str332{sf}{txt} now {bf}{res}str30{sf}
  {txt}variable {bf}who_aptpol{sf} was {bf}{res}str96{sf}{txt} now {bf}{res}str84{sf}
  {txt}variable {bf}mostinf_servdel{sf} was {bf}{res}str256{sf}{txt} now {bf}{res}str44{sf}
  {txt}variable {bf}educ_elecpolbur{sf} was {bf}{res}str258{sf}{txt} now {bf}{res}str51{sf}
  {txt}variable {bf}educ_apolbur{sf} was {bf}{res}str260{sf}{txt} now {bf}{res}str1{sf}
  {txt}variable {bf}slry_elecpolbur{sf} was {bf}{res}str316{sf}{txt} now {bf}{res}str47{sf}
  {txt}variable {bf}slry_apolbur{sf} was {bf}{res}str318{sf}{txt} now {bf}{res}str1{sf}
  {txt}variable {bf}fdout_epol_bgt{sf} was {bf}{res}str373{sf}{txt} now {bf}{res}str19{sf}
  {txt}variable {bf}fdout_apol_bgt{sf} was {bf}{res}str375{sf}{txt} now {bf}{res}str1{sf}
  {txt}variable {bf}budsect_epol{sf} was {bf}{res}str217{sf}{txt} now {bf}{res}str19{sf}
  {txt}variable {bf}budsect_apol{sf} was {bf}{res}str219{sf}{txt} now {bf}{res}str1{sf}
  {txt}variable {bf}acinfexp_epol{sf} was {bf}{res}str216{sf}{txt} now {bf}{res}str19{sf}
  {txt}variable {bf}acinfexp_apol{sf} was {bf}{res}str218{sf}{txt} now {bf}{res}str1{sf}
  {txt}variable {bf}understand_epol{sf} was {bf}{res}str214{sf}{txt} now {bf}{res}str21{sf}
  {txt}variable {bf}understand_apol{sf} was {bf}{res}str216{sf}{txt} now {bf}{res}str21{sf}
  {txt}variable {bf}acttake_epol{sf} was {bf}{res}str247{sf}{txt} now {bf}{res}str163{sf}
  {txt}variable {bf}acttake_epoloth{sf} was {bf}{res}str261{sf}{txt} now {bf}{res}str63{sf}
  {txt}variable {bf}acttake_apol{sf} was {bf}{res}str250{sf}{txt} now {bf}{res}str1{sf}
  {txt}variable {bf}acttake_apoloth{sf} was {bf}{res}str264{sf}{txt} now {bf}{res}str1{sf}
  {txt}variable {bf}likely{sf} was {bf}{res}str159{sf}{txt} now {bf}{res}str18{sf}
  {txt}variable {bf}who_apt_bur{sf} was {bf}{res}str126{sf}{txt} now {bf}{res}str64{sf}
  {txt}variable {bf}who_fir_bur{sf} was {bf}{res}str120{sf}{txt} now {bf}{res}str64{sf}
  {txt}variable {bf}who_fir_buroth{sf} was {bf}{res}str134{sf}{txt} now {bf}{res}str77{sf}
  {txt}variable {bf}ocap_epol{sf} was {bf}{res}str359{sf}{txt} now {bf}{res}str55{sf}
  {txt}variable {bf}ocap_apol{sf} was {bf}{res}str361{sf}{txt} now {bf}{res}str1{sf}
  {txt}variable {bf}prio_epol{sf} was {bf}{res}str209{sf}{txt} now {bf}{res}str73{sf}
  {txt}variable {bf}prio_apol{sf} was {bf}{res}str211{sf}{txt} now {bf}{res}str1{sf}
  {txt}variable {bf}overall_conf{sf} was {bf}{res}str191{sf}{txt} now {bf}{res}str17{sf}
  {txt}variable {bf}avg_educ_buro{sf} was {bf}{res}str117{sf}{txt} now {bf}{res}str101{sf}
  {txt}variable {bf}avg_slry_apol{sf} was {bf}{res}str134{sf}{txt} now {bf}{res}str128{sf}
  {txt}variable {bf}avg_slry_buro{sf} was {bf}{res}str134{sf}{txt} now {bf}{res}str87{sf}
  {txt}variable {bf}confirmation{sf} was {bf}{res}str1148{sf}{txt} now {bf}{res}str63{sf}
{txt}  (462,685 bytes saved)

{com}.         
.         * We edit the label 
.         
.         lab var country "Country"
{txt}
{com}.         lab var full_name  "Full name of recipient"
{txt}
{com}.         lab var recipientemail "Recipient email"
{txt}
{com}.         lab var userlanguage "Language used to answer"
{txt}
{com}.         lab var finished "Completion status"
{txt}
{com}.         lab var progress "Progress"
{txt}
{com}.         lab var duration_minutes "Duration in minutes"
{txt}
{com}.         lab var case_n_unit "Original number of entities"
{txt}
{com}.         lab var unit_num "Unit number"
{txt}
{com}.         
.         * Confirmation
.         
.         fre confirmation
{res}
{txt}confirmation
{txt}{hline 54}{hline 1}{c TT}{hline 44}
{txt}        {txt}                                               {c |}      Freq.    Percent      Valid       Cum.
{txt}{hline 54}{hline 1}{c +}{hline 44}
{txt}Valid   No, this is inaccurate. This level needs to be {c |}{res}          2       3.28       7.14       7.14
{txt}        replaced/deleted                               {c |}{res}                                            
{txt}        No, this level needs to be replaced/deleted    {c |}{res}          2       3.28       7.14      14.29
{txt}        Yes, this is accurate                          {c |}{res}         24      39.34      85.71     100.00
{txt}        Total                                          {c |}{res}         28      45.90     100.00           
{txt}Missing                                                {c |}{res}         33      54.10                      
{txt}Total                                                  {c |}{res}         61     100.00                      
{txt}{hline 54}{hline 1}{c BT}{hline 44}

{com}.         replace confirmation = "1" if confirmation == "Yes, this is accurate"
{txt}(24 real changes made)

{com}.         replace confirmation = "0" if regexm(confirmation,"No")
{txt}(4 real changes made)

{com}.         destring confirmation, replace
{txt}confirmation: all characters numeric; {res}replaced {txt}as {res}byte
{txt}(33 missing values generated)
{res}{txt}
{com}.         
.         lab var confirmation "Confirmation of adequacy of unit"
{txt}
{com}.         lab def confirmation 0 "No, this is not accurate. It should be replaced/deleted" 1 "Yes, this is accurate"
{txt}
{com}.         lab val confirmation confirmation
{txt}
{com}.         
.         fre confirmation
{res}
{txt}confirmation {hline 2} Confirmation of adequacy of unit
{txt}{hline 48}{hline 1}{c TT}{hline 44}
{txt}        {txt}                                         {c |}      Freq.    Percent      Valid       Cum.
{txt}{hline 48}{hline 1}{c +}{hline 44}
{txt}Valid   0 No, this is not accurate. It should be {c |}{res}          4       6.56      14.29      14.29
{txt}          replaced/deleted                       {c |}{res}                                            
{txt}        1 Yes, this is accurate                  {c |}{res}         24      39.34      85.71     100.00
{txt}        Total                                    {c |}{res}         28      45.90     100.00           
{txt}Missing .                                        {c |}{res}         33      54.10                      
{txt}Total                                            {c |}{res}         61     100.00                      
{txt}{hline 48}{hline 1}{c BT}{hline 44}

{com}.         
.         order confirmation, after(unit_num)
{txt}
{com}.         
.         * Creating variable about asked_survey (should be updated)
.         
.         gen asked_survey = 0
{txt}
{com}.         replace asked_survey = 1 if confirmation == 1
{txt}(24 real changes made)

{com}.         lab var asked_survey "Survey question asked to respondent"
{txt}
{com}.         lab def yesno 0 "No" 1 "Yes"
{txt}
{com}.         lab val asked_survey yesno
{txt}
{com}.         order asked_survey, after(confirmation)
{txt}
{com}.         
.         * title_bur
.         
.         lab var title_bur "Title of the highest-level bureaucrat in unit"
{txt}
{com}.         
.         gen test_title_bur = (title_bur != "")
{txt}
{com}.         replace test_title_bur = . if asked_survey == 0
{txt}(37 real changes made, 37 to missing)

{com}.         fre test_title_bur
{res}
{txt}test_title_bur
{txt}{hline 9}{hline 1}{c TT}{hline 44}
{txt}        {txt}  {c |}      Freq.    Percent      Valid       Cum.
{txt}{hline 9}{hline 1}{c +}{hline 44}
{txt}Valid   1 {c |}{res}         24      39.34     100.00     100.00
{txt}Missing . {c |}{res}         37      60.66                      
{txt}Total     {c |}{res}         61     100.00                      
{txt}{hline 9}{hline 1}{c BT}{hline 44}

{com}.         assert inlist(test_title_bur,.,1)
{txt}
{com}.         
.         drop test_title_bur
{txt}
{com}.         
.         * elecpol_ovrsee
.         
.         lab var elecpol_ovrsee "Any politicians in unit overseeing service delivery"
{txt}
{com}.         replace elecpol_ovrsee = "0" if elecpol_ovrsee == "No"
{txt}(2 real changes made)

{com}.         replace elecpol_ovrsee = "1" if elecpol_ovrsee == "Yes"
{txt}(23 real changes made)

{com}.         destring elecpol_ovrsee, replace
{txt}elecpol_ovrsee: all characters numeric; {res}replaced {txt}as {res}byte
{txt}(36 missing values generated)
{res}{txt}
{com}.         lab val elecpol_ovrsee yesno
{txt}
{com}.         
.         fre elecpol_ovrsee
{res}
{txt}elecpol_ovrsee {hline 2} Any politicians in unit overseeing service delivery
{txt}{hline 13}{hline 1}{c TT}{hline 44}
{txt}        {txt}      {c |}      Freq.    Percent      Valid       Cum.
{txt}{hline 13}{hline 1}{c +}{hline 44}
{txt}Valid   0 No  {c |}{res}          2       3.28       8.00       8.00
{txt}        1 Yes {c |}{res}         23      37.70      92.00     100.00
{txt}        Total {c |}{res}         25      40.98     100.00           
{txt}Missing .     {c |}{res}         36      59.02                      
{txt}Total         {c |}{res}         61     100.00                      
{txt}{hline 13}{hline 1}{c BT}{hline 44}

{com}.         
.         gen test_elecpol_ovrsee = (elecpol_ovrsee != .)
{txt}
{com}.         replace test_elecpol_ovrsee = . if asked_survey == 0
{txt}(37 real changes made, 37 to missing)

{com}.         fre test_elecpol_ovrsee
{res}
{txt}test_elecpol_ovrsee
{txt}{hline 9}{hline 1}{c TT}{hline 44}
{txt}        {txt}  {c |}      Freq.    Percent      Valid       Cum.
{txt}{hline 9}{hline 1}{c +}{hline 44}
{txt}Valid   1 {c |}{res}         24      39.34     100.00     100.00
{txt}Missing . {c |}{res}         37      60.66                      
{txt}Total     {c |}{res}         61     100.00                      
{txt}{hline 9}{hline 1}{c BT}{hline 44}

{com}.         assert inlist(test_elecpol_ovrsee,.,1)
{txt}
{com}.         
.         drop test_elecpol_ovrsee
{txt}
{com}.         
.         * title_elecpol
.         
.         lab var title_elecpol "Title of the highest-level elected politician in unit"
{txt}
{com}.         
.         gen test_title_elecpol = (title_elecpol != "")
{txt}
{com}.         replace test_title_elecpol = . if asked_survey == 0
{txt}(37 real changes made, 37 to missing)

{com}.         replace test_title_elecpol = . if elecpol_ovrsee == 0
{txt}(1 real change made, 1 to missing)

{com}.         fre test_title_elecpol
{res}
{txt}test_title_elecpol
{txt}{hline 9}{hline 1}{c TT}{hline 44}
{txt}        {txt}  {c |}      Freq.    Percent      Valid       Cum.
{txt}{hline 9}{hline 1}{c +}{hline 44}
{txt}Valid   1 {c |}{res}         23      37.70     100.00     100.00
{txt}Missing . {c |}{res}         38      62.30                      
{txt}Total     {c |}{res}         61     100.00                      
{txt}{hline 9}{hline 1}{c BT}{hline 44}

{com}.         assert inlist(test_title_elecpol,.,1)
{txt}
{com}.         
.         drop test_title_elecpol
{txt}
{com}.         
.         * aptpol_d
.         
.         fre aptpol_d
{res}
{txt}aptpol_d
{txt}{hline 38}{hline 1}{c TT}{hline 44}
{txt}        {txt}                               {c |}      Freq.    Percent      Valid       Cum.
{txt}{hline 38}{hline 1}{c +}{hline 44}
{txt}Valid   Do not know / Refuse to answer {c |}{res}          1       1.64       4.00       4.00
{txt}        No                             {c |}{res}         15      24.59      60.00      64.00
{txt}        Yes                            {c |}{res}          9      14.75      36.00     100.00
{txt}        Total                          {c |}{res}         25      40.98     100.00           
{txt}Missing                                {c |}{res}         36      59.02                      
{txt}Total                                  {c |}{res}         61     100.00                      
{txt}{hline 38}{hline 1}{c BT}{hline 44}

{com}.         
.         lab var aptpol_d "Politician appointed by higher politician in unit"
{txt}
{com}.         replace aptpol_d = "0" if aptpol_d == "No"
{txt}(15 real changes made)

{com}.         replace aptpol_d = "1" if aptpol_d == "Yes"
{txt}(9 real changes made)

{com}.         replace aptpol_d = "-98" if aptpol_d == "Do not know / Refuse to answer"
{txt}(1 real change made)

{com}.         destring aptpol_d, replace
{txt}aptpol_d: all characters numeric; {res}replaced {txt}as {res}byte
{txt}(36 missing values generated)
{res}{txt}
{com}.         lab val aptpol_d yesno
{txt}
{com}.         
.         fre aptpol_d
{res}
{txt}aptpol_d {hline 2} Politician appointed by higher politician in unit
{txt}{hline 15}{hline 1}{c TT}{hline 44}
{txt}        {txt}        {c |}      Freq.    Percent      Valid       Cum.
{txt}{hline 15}{hline 1}{c +}{hline 44}
{txt}Valid   -98     {c |}{res}          1       1.64       4.00       4.00
{txt}        0   No  {c |}{res}         15      24.59      60.00      64.00
{txt}        1   Yes {c |}{res}          9      14.75      36.00     100.00
{txt}        Total   {c |}{res}         25      40.98     100.00           
{txt}Missing .       {c |}{res}         36      59.02                      
{txt}Total           {c |}{res}         61     100.00                      
{txt}{hline 15}{hline 1}{c BT}{hline 44}

{com}.         
.         gen test_aptpol_d = (aptpol_d != .)
{txt}
{com}.         replace test_aptpol_d = . if asked_survey == 0
{txt}(37 real changes made, 37 to missing)

{com}.         fre test_aptpol_d
{res}
{txt}test_aptpol_d
{txt}{hline 9}{hline 1}{c TT}{hline 44}
{txt}        {txt}  {c |}      Freq.    Percent      Valid       Cum.
{txt}{hline 9}{hline 1}{c +}{hline 44}
{txt}Valid   1 {c |}{res}         24      39.34     100.00     100.00
{txt}Missing . {c |}{res}         37      60.66                      
{txt}Total     {c |}{res}         61     100.00                      
{txt}{hline 9}{hline 1}{c BT}{hline 44}

{com}.         assert inlist(test_aptpol_d,.,1)
{txt}
{com}.         
.         drop test_aptpol_d
{txt}
{com}.         
.         * pol_exist_d
.         
.         gen pol_exist_d = 0
{txt}
{com}.         replace pol_exist_d = 1 if aptpol_d == 1 | elecpol_ovrsee == 1
{txt}(23 real changes made)

{com}.         replace pol_exist_d = . if asked_survey == 0
{txt}(37 real changes made, 37 to missing)

{com}.         lab val pol_exist_d yesno
{txt}
{com}.         lab var pol_exist_d "1 if we have either an appointed or elected politician"
{txt}
{com}.         
.         fre pol_exist_d
{res}
{txt}pol_exist_d {hline 2} 1 if we have either an appointed or elected politician
{txt}{hline 13}{hline 1}{c TT}{hline 44}
{txt}        {txt}      {c |}      Freq.    Percent      Valid       Cum.
{txt}{hline 13}{hline 1}{c +}{hline 44}
{txt}Valid   0 No  {c |}{res}          1       1.64       4.17       4.17
{txt}        1 Yes {c |}{res}         23      37.70      95.83     100.00
{txt}        Total {c |}{res}         24      39.34     100.00           
{txt}Missing .     {c |}{res}         37      60.66                      
{txt}Total         {c |}{res}         61     100.00                      
{txt}{hline 13}{hline 1}{c BT}{hline 44}

{com}.         order pol_exist_d, after(aptpol_d)
{txt}
{com}.         
.         * title_aptpol
.         
.         lab var title_aptpol "Title of the highest-level appointed politician in unit"
{txt}
{com}.         
.         gen test_title_aptpol = (title_aptpol != "")
{txt}
{com}.         replace test_title_aptpol = . if asked_survey == 0 
{txt}(37 real changes made, 37 to missing)

{com}.         replace test_title_aptpol = . if aptpol_d == 0 | aptpol_d == -98
{txt}(15 real changes made, 15 to missing)

{com}.         fre test_title_aptpol
{res}
{txt}test_title_aptpol
{txt}{hline 9}{hline 1}{c TT}{hline 44}
{txt}        {txt}  {c |}      Freq.    Percent      Valid       Cum.
{txt}{hline 9}{hline 1}{c +}{hline 44}
{txt}Valid   1 {c |}{res}          9      14.75     100.00     100.00
{txt}Missing . {c |}{res}         52      85.25                      
{txt}Total     {c |}{res}         61     100.00                      
{txt}{hline 9}{hline 1}{c BT}{hline 44}

{com}.         assert inlist(test_title_aptpol,.,1)
{txt}
{com}.         
.         drop test_title_aptpol
{txt}
{com}.         
.         * who_aptpol
.         
.         lab var who_aptpol "Who appoints the highest-level appointed politician in unit"
{txt}
{com}.         
.         gen test_who_aptpol = (who_aptpol != "")
{txt}
{com}.         replace test_who_aptpol = . if asked_survey == 0 
{txt}(37 real changes made, 37 to missing)

{com}.         replace test_who_aptpol = . if aptpol_d == 0 | aptpol_d == -98
{txt}(15 real changes made, 15 to missing)

{com}.         fre test_who_aptpol
{res}
{txt}test_who_aptpol
{txt}{hline 9}{hline 1}{c TT}{hline 44}
{txt}        {txt}  {c |}      Freq.    Percent      Valid       Cum.
{txt}{hline 9}{hline 1}{c +}{hline 44}
{txt}Valid   1 {c |}{res}          9      14.75     100.00     100.00
{txt}Missing . {c |}{res}         52      85.25                      
{txt}Total     {c |}{res}         61     100.00                      
{txt}{hline 9}{hline 1}{c BT}{hline 44}

{com}.         assert inlist(test_who_aptpol,.,1)
{txt}
{com}.         
.         drop test_who_aptpol
{txt}
{com}.         
.         * mostinf_servdel
.         
.         lab var mostinf_servdel "More influential in determining quality of service"
{txt}
{com}.         
.         replace mostinf_servdel = "1" if regexm(mostinf_servdel,"Elected much more")
{txt}(5 real changes made)

{com}.         replace mostinf_servdel = "2" if regexm(mostinf_servdel,"Elected slightly more")
{txt}(0 real changes made)

{com}.         replace mostinf_servdel = "3" if regexm(mostinf_servdel,"About the same")
{txt}(1 real change made)

{com}.         replace mostinf_servdel = "4" if regexm(mostinf_servdel,"Appointed slightly more")
{txt}(0 real changes made)

{com}.         replace mostinf_servdel = "5" if regexm(mostinf_servdel,"Appointed much more")
{txt}(3 real changes made)

{com}.         destring mostinf_servdel, replace
{txt}mostinf_servdel: all characters numeric; {res}replaced {txt}as {res}byte
{txt}(52 missing values generated)
{res}{txt}
{com}.         lab def mostinf_servdel 1 "Elected much more influential" 2 "Elected slightly more influential" 3 "About the same" 4 "Appointed slightly more influential" 5 "Appointed much more influential"
{txt}
{com}.         lab val mostinf_servdel mostinf_servdel
{txt}
{com}.         
.         fre mostinf_servdel
{res}
{txt}mostinf_servdel {hline 2} More influential in determining quality of service
{txt}{hline 41}{hline 1}{c TT}{hline 44}
{txt}        {txt}                                  {c |}      Freq.    Percent      Valid       Cum.
{txt}{hline 41}{hline 1}{c +}{hline 44}
{txt}Valid   1 Elected much more influential   {c |}{res}          5       8.20      55.56      55.56
{txt}        3 About the same                  {c |}{res}          1       1.64      11.11      66.67
{txt}        5 Appointed much more influential {c |}{res}          3       4.92      33.33     100.00
{txt}        Total                             {c |}{res}          9      14.75     100.00           
{txt}Missing .                                 {c |}{res}         52      85.25                      
{txt}Total                                     {c |}{res}         61     100.00                      
{txt}{hline 41}{hline 1}{c BT}{hline 44}

{com}.         
.         gen test_mostinf_servdel = (mostinf_servdel != .)
{txt}
{com}.         replace test_mostinf_servdel = . if asked_survey == 0 
{txt}(37 real changes made, 37 to missing)

{com}.         replace test_mostinf_servdel = . if (inlist(aptpol_d,0,-98) | elecpol_ovrsee == 0)
{txt}(15 real changes made, 15 to missing)

{com}.         fre test_mostinf_servdel
{res}
{txt}test_mostinf_servdel
{txt}{hline 9}{hline 1}{c TT}{hline 44}
{txt}        {txt}  {c |}      Freq.    Percent      Valid       Cum.
{txt}{hline 9}{hline 1}{c +}{hline 44}
{txt}Valid   1 {c |}{res}          9      14.75     100.00     100.00
{txt}Missing . {c |}{res}         52      85.25                      
{txt}Total     {c |}{res}         61     100.00                      
{txt}{hline 9}{hline 1}{c BT}{hline 44}

{com}.         assert inlist(test_mostinf_servdel,.,1)
{txt}
{com}.         
.         drop test_mostinf_servdel
{txt}
{com}.         
.         * educ_elecpolbur
.         
.         lab var educ_elecpolbur "More educated bureaucrat or politician (elec. politician)"
{txt}
{com}.         
.         fre educ_elecpolbur
{res}
{txt}educ_elecpolbur {hline 2} More educated bureaucrat or politician (elec. politician)
{txt}{hline 55}{hline 1}{c TT}{hline 44}
{txt}        {txt}                                                {c |}      Freq.    Percent      Valid       Cum.
{txt}{hline 55}{hline 1}{c +}{hline 44}
{txt}Valid   About the same level of education               {c |}{res}          4       6.56      17.39      17.39
{txt}        Bureaucrats much more educated than Politicians {c |}{res}         13      21.31      56.52      73.91
{txt}        Bureaucrats slightly more educated than         {c |}{res}          6       9.84      26.09     100.00
{txt}        Politicians                                     {c |}{res}                                            
{txt}        Total                                           {c |}{res}         23      37.70     100.00           
{txt}Missing                                                 {c |}{res}         38      62.30                      
{txt}Total                                                   {c |}{res}         61     100.00                      
{txt}{hline 55}{hline 1}{c BT}{hline 44}

{com}.         
.         replace educ_elecpolbur = "1" if regexm(educ_elecpolbur,"Bureaucrats much more educated")
{txt}(13 real changes made)

{com}.         replace educ_elecpolbur = "2" if regexm(educ_elecpolbur,"Bureaucrats slightly more educated")
{txt}(6 real changes made)

{com}.         replace educ_elecpolbur = "3" if regexm(educ_elecpolbur,"About the same")
{txt}(4 real changes made)

{com}.         replace educ_elecpolbur = "4" if regexm(educ_elecpolbur,"Politicians slightly more educated")
{txt}(0 real changes made)

{com}.         replace educ_elecpolbur = "5" if regexm(educ_elecpolbur,"Politicians much more educated")
{txt}(0 real changes made)

{com}.         destring educ_elecpolbur, replace
{txt}educ_elecpolbur: all characters numeric; {res}replaced {txt}as {res}byte
{txt}(38 missing values generated)
{res}{txt}
{com}.         lab def educ_elecpolbur 1 "Bureaucrats much more educated" 2 "Bureaucrats slightly more educated" 3 "About the same" 4 "Politicians slightly more educated" 5 "Politicians much more educated"
{txt}
{com}.         lab val educ_elecpolbur educ_elecpolbur
{txt}
{com}.         
.         fre educ_elecpolbur
{res}
{txt}educ_elecpolbur {hline 2} More educated bureaucrat or politician (elec. politician)
{txt}{hline 44}{hline 1}{c TT}{hline 44}
{txt}        {txt}                                     {c |}      Freq.    Percent      Valid       Cum.
{txt}{hline 44}{hline 1}{c +}{hline 44}
{txt}Valid   1 Bureaucrats much more educated     {c |}{res}         13      21.31      56.52      56.52
{txt}        2 Bureaucrats slightly more educated {c |}{res}          6       9.84      26.09      82.61
{txt}        3 About the same                     {c |}{res}          4       6.56      17.39     100.00
{txt}        Total                                {c |}{res}         23      37.70     100.00           
{txt}Missing .                                    {c |}{res}         38      62.30                      
{txt}Total                                        {c |}{res}         61     100.00                      
{txt}{hline 44}{hline 1}{c BT}{hline 44}

{com}.         
.         gen test_educ_elecpolbur = (educ_elecpolbur != .)
{txt}
{com}.         replace test_educ_elecpolbur = . if asked_survey == 0 
{txt}(37 real changes made, 37 to missing)

{com}.         replace test_educ_elecpolbur = . if elecpol_ovrsee == 0
{txt}(1 real change made, 1 to missing)

{com}.         fre test_educ_elecpolbur
{res}
{txt}test_educ_elecpolbur
{txt}{hline 9}{hline 1}{c TT}{hline 44}
{txt}        {txt}  {c |}      Freq.    Percent      Valid       Cum.
{txt}{hline 9}{hline 1}{c +}{hline 44}
{txt}Valid   1 {c |}{res}         23      37.70     100.00     100.00
{txt}Missing . {c |}{res}         38      62.30                      
{txt}Total     {c |}{res}         61     100.00                      
{txt}{hline 9}{hline 1}{c BT}{hline 44}

{com}.         assert inlist(test_educ_elecpolbur,.,1)
{txt}
{com}.         
.         drop test_educ_elecpolbur
{txt}
{com}.         
.         * educ_apolbur
.         
.         lab var educ_apolbur "More educated bureaucrat or politician (app. politician) "
{txt}
{com}.         
.         fre educ_apolbur
{res}
{txt}educ_apolbur {hline 2} More educated bureaucrat or politician (app. politician) 
{txt}{hline 8}{hline 1}{c TT}{hline 44}
{txt}        {txt} {c |}      Freq.    Percent      Valid       Cum.
{txt}{hline 8}{hline 1}{c +}{hline 44}
{txt}Missing  {c |}{res}         61     100.00                      
{txt}{hline 8}{hline 1}{c BT}{hline 44}

{com}.         
.         replace educ_apolbur = "1" if regexm(educ_apolbur,"Bureaucrats much more educated")
{txt}(0 real changes made)

{com}.         replace educ_apolbur = "2" if regexm(educ_apolbur,"Bureaucrats slightly more educated")
{txt}(0 real changes made)

{com}.         replace educ_apolbur = "3" if regexm(educ_apolbur,"About the same")
{txt}(0 real changes made)

{com}.         replace educ_apolbur = "4" if regexm(educ_apolbur,"Politicians slightly more educated")
{txt}(0 real changes made)

{com}.         replace educ_apolbur = "5" if regexm(educ_apolbur,"Politicians much more educated")
{txt}(0 real changes made)

{com}.         destring educ_apolbur, replace
{txt}educ_apolbur: all characters numeric; {res}replaced {txt}as {res}byte
{txt}(61 missing values generated)
{res}{txt}
{com}.         lab def educ_apolbur 1 "Bureaucrats much more educated" 2 "Bureaucrats slightly more educated" 3 "About the same" 4 "Politicians slightly more educated" 5 "Politicians much more educated"
{txt}
{com}.         lab val educ_apolbur educ_apolbur
{txt}
{com}.         
.         fre educ_apolbur
{res}
{txt}educ_apolbur {hline 2} More educated bureaucrat or politician (app. politician) 
{txt}{hline 13}{hline 1}{c TT}{hline 44}
{txt}        {txt}      {c |}      Freq.    Percent      Valid       Cum.
{txt}{hline 13}{hline 1}{c +}{hline 44}
{txt}Missing .     {c |}{res}         61     100.00                      
{txt}{hline 13}{hline 1}{c BT}{hline 44}

{com}.         
.         gen test_educ_apolbur = (educ_apolbur != .)
{txt}
{com}.         replace test_educ_apolbur = . if asked_survey == 0
{txt}(37 real changes made, 37 to missing)

{com}.         replace test_educ_apolbur = . if aptpol_d == 0
{txt}(14 real changes made, 14 to missing)

{com}.         replace test_educ_apolbur = . if elecpol_ovrsee == 1 
{txt}(10 real changes made, 10 to missing)

{com}.         fre test_educ_apolbur
{res}
{txt}test_educ_apolbur
{txt}{hline 9}{hline 1}{c TT}{hline 44}
{txt}        {txt}  {c |}      Freq.    Percent      Valid       Cum.
{txt}{hline 9}{hline 1}{c +}{hline 44}
{txt}Missing . {c |}{res}         61     100.00                      
{txt}{hline 9}{hline 1}{c BT}{hline 44}

{com}.         assert inlist(test_educ_apolbur,.,1)
{txt}
{com}.         
.         drop test_educ_apolbur
{txt}
{com}.         
.         * slry_elecpolbur
.         
.         lab var slry_elecpolbur "Earning more bureaucrat or politician (elec. politician)"
{txt}
{com}.         
.         fre slry_elecpolbur
{res}
{txt}slry_elecpolbur {hline 2} Earning more bureaucrat or politician (elec. politician)
{txt}{hline 55}{hline 1}{c TT}{hline 44}
{txt}        {txt}                                                {c |}      Freq.    Percent      Valid       Cum.
{txt}{hline 55}{hline 1}{c +}{hline 44}
{txt}Valid   Both earn about the same                        {c |}{res}          4       6.56      17.39      17.39
{txt}        Bureaucrats earn much more than Politicians     {c |}{res}          5       8.20      21.74      39.13
{txt}        Bureaucrats earn slightly more than Politicians {c |}{res}          3       4.92      13.04      52.17
{txt}        Politicians earn much more than Bureaucrats     {c |}{res}          6       9.84      26.09      78.26
{txt}        Politicians earn slightly more than Bureaucrats {c |}{res}          5       8.20      21.74     100.00
{txt}        Total                                           {c |}{res}         23      37.70     100.00           
{txt}Missing                                                 {c |}{res}         38      62.30                      
{txt}Total                                                   {c |}{res}         61     100.00                      
{txt}{hline 55}{hline 1}{c BT}{hline 44}

{com}.         
.         replace slry_elecpolbur = "1" if regexm(slry_elecpolbur,"Bureaucrats earn much")
{txt}(5 real changes made)

{com}.         replace slry_elecpolbur = "2" if regexm(slry_elecpolbur,"Bureaucrats earn slightly")
{txt}(3 real changes made)

{com}.         replace slry_elecpolbur = "3" if regexm(slry_elecpolbur,"Both earn")
{txt}(4 real changes made)

{com}.         replace slry_elecpolbur = "4" if regexm(slry_elecpolbur,"Politicians earn slightly")
{txt}(5 real changes made)

{com}.         replace slry_elecpolbur = "5" if regexm(slry_elecpolbur,"Politicians earn much")
{txt}(6 real changes made)

{com}.         destring slry_elecpolbur, replace
{txt}slry_elecpolbur: all characters numeric; {res}replaced {txt}as {res}byte
{txt}(38 missing values generated)
{res}{txt}
{com}.         lab def slry_elecpolbur 1 "Bureaucrats earn much more" 2 "Bureaucrats earn slightly more" 3 "Both earn the same" 4 "Politicians earn slightly" 5 "Politicians earn much more"
{txt}
{com}.         lab val slry_elecpolbur slry_elecpolbur
{txt}
{com}.         
.         fre slry_elecpolbur
{res}
{txt}slry_elecpolbur {hline 2} Earning more bureaucrat or politician (elec. politician)
{txt}{hline 40}{hline 1}{c TT}{hline 44}
{txt}        {txt}                                 {c |}      Freq.    Percent      Valid       Cum.
{txt}{hline 40}{hline 1}{c +}{hline 44}
{txt}Valid   1 Bureaucrats earn much more     {c |}{res}          5       8.20      21.74      21.74
{txt}        2 Bureaucrats earn slightly more {c |}{res}          3       4.92      13.04      34.78
{txt}        3 Both earn the same             {c |}{res}          4       6.56      17.39      52.17
{txt}        4 Politicians earn slightly      {c |}{res}          5       8.20      21.74      73.91
{txt}        5 Politicians earn much more     {c |}{res}          6       9.84      26.09     100.00
{txt}        Total                            {c |}{res}         23      37.70     100.00           
{txt}Missing .                                {c |}{res}         38      62.30                      
{txt}Total                                    {c |}{res}         61     100.00                      
{txt}{hline 40}{hline 1}{c BT}{hline 44}

{com}.         
.         gen test_slry_elecpolbur = (slry_elecpolbur != .)
{txt}
{com}.         replace test_slry_elecpolbur = . if asked_survey == 0 
{txt}(37 real changes made, 37 to missing)

{com}.         replace test_slry_elecpolbur = . if elecpol_ovrsee == 0
{txt}(1 real change made, 1 to missing)

{com}.         fre test_slry_elecpolbur
{res}
{txt}test_slry_elecpolbur
{txt}{hline 9}{hline 1}{c TT}{hline 44}
{txt}        {txt}  {c |}      Freq.    Percent      Valid       Cum.
{txt}{hline 9}{hline 1}{c +}{hline 44}
{txt}Valid   1 {c |}{res}         23      37.70     100.00     100.00
{txt}Missing . {c |}{res}         38      62.30                      
{txt}Total     {c |}{res}         61     100.00                      
{txt}{hline 9}{hline 1}{c BT}{hline 44}

{com}.         assert inlist(test_slry_elecpolbur,.,1)
{txt}
{com}.         
.         drop test_slry_elecpolbur
{txt}
{com}.         
.         * slry_apolbur
.         
.         lab var slry_apolbur "Earning more bureaucrat or politician (app. politician)"
{txt}
{com}.         
.         fre slry_apolbur
{res}
{txt}slry_apolbur {hline 2} Earning more bureaucrat or politician (app. politician)
{txt}{hline 8}{hline 1}{c TT}{hline 44}
{txt}        {txt} {c |}      Freq.    Percent      Valid       Cum.
{txt}{hline 8}{hline 1}{c +}{hline 44}
{txt}Missing  {c |}{res}         61     100.00                      
{txt}{hline 8}{hline 1}{c BT}{hline 44}

{com}.         
.         replace slry_apolbur = "1" if regexm(slry_apolbur,"Bureaucrats earn much")
{txt}(0 real changes made)

{com}.         replace slry_apolbur = "2" if regexm(slry_apolbur,"Bureaucrats earn slightly")
{txt}(0 real changes made)

{com}.         replace slry_apolbur = "3" if regexm(slry_apolbur,"Both earn")
{txt}(0 real changes made)

{com}.         replace slry_apolbur = "4" if regexm(slry_apolbur,"Politicians earn slightly")
{txt}(0 real changes made)

{com}.         replace slry_apolbur = "5" if regexm(slry_apolbur,"Politicians earn much")
{txt}(0 real changes made)

{com}.         destring slry_apolbur, replace
{txt}slry_apolbur: all characters numeric; {res}replaced {txt}as {res}byte
{txt}(61 missing values generated)
{res}{txt}
{com}.         lab def slry_apolbur 1 "Bureaucrats earn much more" 2 "Bureaucrats earn slightly more" 3 "Both earn the same" 4 "Politicians earn slightly" 5 "Politicians earn much more"
{txt}
{com}.         lab val slry_apolbur slry_apolbur
{txt}
{com}.         
.         fre slry_apolbur
{res}
{txt}slry_apolbur {hline 2} Earning more bureaucrat or politician (app. politician)
{txt}{hline 13}{hline 1}{c TT}{hline 44}
{txt}        {txt}      {c |}      Freq.    Percent      Valid       Cum.
{txt}{hline 13}{hline 1}{c +}{hline 44}
{txt}Missing .     {c |}{res}         61     100.00                      
{txt}{hline 13}{hline 1}{c BT}{hline 44}

{com}.         
.         gen test_slry_apolbur = (slry_apolbur != .)
{txt}
{com}.         replace test_slry_apolbur = . if asked_survey == 0
{txt}(37 real changes made, 37 to missing)

{com}.         replace test_slry_apolbur = . if aptpol_d == 0
{txt}(14 real changes made, 14 to missing)

{com}.         replace test_slry_apolbur = . if elecpol_ovrsee == 1 
{txt}(10 real changes made, 10 to missing)

{com}.         fre test_slry_apolbur
{res}
{txt}test_slry_apolbur
{txt}{hline 9}{hline 1}{c TT}{hline 44}
{txt}        {txt}  {c |}      Freq.    Percent      Valid       Cum.
{txt}{hline 9}{hline 1}{c +}{hline 44}
{txt}Missing . {c |}{res}         61     100.00                      
{txt}{hline 9}{hline 1}{c BT}{hline 44}

{com}.         assert inlist(test_slry_apolbur,.,1)
{txt}
{com}.         
.         drop test_slry_apolbur
{txt}
{com}.         
.         * We merge the payment module
.         
.         merge m:1 responseid using "`payment_module'"
{res}
{txt}{col 5}Result{col 38}# of obs.
{col 5}{hline 41}
{col 5}not matched{col 30}{res}               0
{txt}{col 5}matched{col 30}{res}              61{txt}  (_merge==3)
{col 5}{hline 41}

{com}.         drop _merge
{txt}
{com}.         order donate_d org_donation_id paid_status, after(duration_minutes)
{txt}
{com}.         
.         * fdout_epol_bgt
.         
.         lab var fdout_epol_bgt "Easy to find out about envelop (elec. politician)"
{txt}
{com}.         
.         fre fdout_epol
{res}
{txt}fdout_epol_bgt {hline 2} Easy to find out about envelop (elec. politician)
{txt}{hline 26}{hline 1}{c TT}{hline 44}
{txt}        {txt}                   {c |}      Freq.    Percent      Valid       Cum.
{txt}{hline 26}{hline 1}{c +}{hline 44}
{txt}Valid   Somewhat difficult {c |}{res}          3       4.92      13.04      13.04
{txt}        Somewhat easy      {c |}{res}          6       9.84      26.09      39.13
{txt}        Very easy          {c |}{res}         14      22.95      60.87     100.00
{txt}        Total              {c |}{res}         23      37.70     100.00           
{txt}Missing                    {c |}{res}         38      62.30                      
{txt}Total                      {c |}{res}         61     100.00                      
{txt}{hline 26}{hline 1}{c BT}{hline 44}

{com}.         
.         
.         
.         
.         e

{txt}end of do-file


{com}. do "/var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//SD44938.000000"
{txt}
{com}. 
.         * Purpose: Importing data to run HFC
.         
.         * Setting up globals
.         
.         if "`c(username)'" == "fredericcochinard" {c -(}
.                 
.                 global import_folder "/Users/fredericcochinard/Dropbox/Expert survey/Data/0.survey_dataset/0.import"
.                 global output "/Users/fredericcochinard/Dropbox/Expert survey/Data/0.survey_dataset/1.output"
.                 
.                 {c )-}
{txt}
{com}.                 
.         if "`c(username)'" == "" {c -(}
.         
.                 
.                 {c )-}
{txt}
{com}.         
.         * Looking for renaming folder with problem
.         
.         local myfiles: dir "$import_folder" files "*.xlsx"
{txt}
{com}. 
.         foreach file of local myfiles {c -(}
{txt}  2{com}.                 
.                 local subfile = substr("`file'", 1, .)
{txt}  3{com}.                 local subfile : subinstr local subfile " " "_", all
{txt}  4{com}.                 ! mv "${c -(}import_folder{c )-}/`file'" "${c -(}import_folder{c )-}/`subfile'"
{txt}  5{com}.                 
.                 {c )-}
{txt}

{com}.         
.         * Looking for dataset
.         
.         filelist , dir("$import_folder") pat("*.xlsx")
{res}{txt}Number of files found = {res}1
{txt}
{com}.         
.         gen url = filename
{txt}
{com}.         
.         levelsof url
{txt}`"Expert_survey_February_18,_2025_16.23.xlsx"'

{com}. 
.         local lvlfiles `r(levels)'
{txt}
{com}.         
.         local z = 0
{txt}
{com}.         
.         foreach lvl of local lvlfiles {c -(}
{txt}  2{com}.         
.                 local z = `z' + 1
{txt}  3{com}.                 
.                 local temp : subinstr local lvl `"""' "", all
{txt}  4{com}.                 local url : subinstr local temp "'" "", all
{txt}  5{com}.         
.                 import excel "${c -(}import_folder{c )-}/`url'", first case(lower) clear
{txt}  6{com}.                 
.                 gen num = _n
{txt}  7{com}.                 drop if num == 1
{txt}  8{com}.                 
.                 * Preparing the append
.                 
.                 tempfile data`z'
{txt}  9{com}.                 sa "`data`z''"
{txt} 10{com}.                 
.                 {c )-}
{res}{txt}(1 observation deleted)
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.000001 saved

{com}.                 
.         * We append the dataset to start cleaning
.         
.         use "`data1'", clear
{txt}
{com}.         
.         forvalues x = 2/`z' {c -(}
{txt}  2{com}.         
.                 append using "`data`x''"
{txt}  3{com}.                 
.                 {c )-}
{txt}
{com}.                 
.         duplicates drop

{p 0 4}{txt}Duplicates in terms of {txt} all variables{p_end}

(0 observations are duplicates)

{com}.         
.         * We keep relevant variable
.         drop if recipientemail == "frederic.cochinard@gmail.com"
{txt}(8 observations deleted)

{com}.         drop if recipientemail == "vedpant+spanish@college.harvard.edu"
{txt}(1 observation deleted)

{com}.         drop if recipientemail == "frederic.cochinard+3@gmail.com"
{txt}(1 observation deleted)

{com}.         drop if recipientemail == "frederic.cochinard+1@gmail.com"
{txt}(1 observation deleted)

{com}.         
.         * We remove observation that are not finished
.         drop if finished == "False"
{txt}(9 observations deleted)

{com}.         
.         * We create a save
.         
.         tempfile save_data
{txt}
{com}.         sa "`save_data'"
{txt}file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.000002 saved

{com}.         
.         ******************
.         * Payment module *
.         ******************
.         
.         preserve
{txt}
{com}.         
.         keep responseid method_pay_bank_in_q-q977
{txt}
{com}.         compress
  {txt}variable {bf}method_pay_bank_in_q{sf} was {bf}{res}str237{sf}{txt} now {bf}{res}str24{sf}
  {txt}variable {bf}expert_donation_org{sf} was {bf}{res}str129{sf}{txt} now {bf}{res}str23{sf}
  {txt}variable {bf}q967{sf} was {bf}{res}str236{sf}{txt} now {bf}{res}str65{sf}
  {txt}variable {bf}q978{sf} was {bf}{res}str326{sf}{txt} now {bf}{res}str16{sf}
  {txt}variable {bf}q979{sf} was {bf}{res}str104{sf}{txt} now {bf}{res}str39{sf}
  {txt}variable {bf}q980{sf} was {bf}{res}str95{sf}{txt} now {bf}{res}str11{sf}
  {txt}variable {bf}q987{sf} was {bf}{res}str170{sf}{txt} now {bf}{res}str24{sf}
  {txt}variable {bf}q984{sf} was {bf}{res}str326{sf}{txt} now {bf}{res}str1{sf}
  {txt}variable {bf}q985{sf} was {bf}{res}str104{sf}{txt} now {bf}{res}str1{sf}
  {txt}variable {bf}q986{sf} was {bf}{res}str95{sf}{txt} now {bf}{res}str1{sf}
  {txt}variable {bf}q988{sf} was {bf}{res}str170{sf}{txt} now {bf}{res}str1{sf}
  {txt}variable {bf}q989{sf} was {bf}{res}str559{sf}{txt} now {bf}{res}str1{sf}
  {txt}variable {bf}q990{sf} was {bf}{res}str102{sf}{txt} now {bf}{res}str1{sf}
  {txt}variable {bf}q991{sf} was {bf}{res}str93{sf}{txt} now {bf}{res}str1{sf}
  {txt}variable {bf}q992{sf} was {bf}{res}str170{sf}{txt} now {bf}{res}str1{sf}
  {txt}variable {bf}q998{sf} was {bf}{res}str537{sf}{txt} now {bf}{res}str1{sf}
  {txt}variable {bf}q997{sf} was {bf}{res}str105{sf}{txt} now {bf}{res}str1{sf}
  {txt}variable {bf}q999{sf} was {bf}{res}str104{sf}{txt} now {bf}{res}str1{sf}
  {txt}variable {bf}q1000{sf} was {bf}{res}str95{sf}{txt} now {bf}{res}str1{sf}
  {txt}variable {bf}q1001{sf} was {bf}{res}str170{sf}{txt} now {bf}{res}str1{sf}
  {txt}variable {bf}q977{sf} was {bf}{res}str502{sf}{txt} now {bf}{res}str23{sf}
{txt}  (46,101 bytes saved)

{com}.         
.         * Donate_d
.         
.         gen donate_d = 0
{txt}
{com}.         replace donate_d = 1 if method_pay_bank_in_q == "I prefer to donate"
{txt}(3 real changes made)

{com}.         
.         * Special case
.         replace donate_d = 1 if responseid == "R_4ouc7tR6BFj3gpb" // respondent is refusing to take money in comments
{txt}(1 real change made)

{com}.         replace donate_d = 1 if responseid == "R_4Iow7YzsoT2KTOx" // respondent is writing cancel in comments
{txt}(1 real change made)

{com}.         
.         lab var donate_d "Respondent decided to donate"
{txt}
{com}.         lab def donate_d 0 "No" 1 "Yes"
{txt}
{com}.         lab val donate_d donate_d
{txt}
{com}.         order donate_d, after(responseid)
{txt}
{com}.         
.         * Org
.         
.         gen org_donation_id = "" 
{txt}(11 missing values generated)

{com}.         replace org_donation_id = expert_donation_org if donate_d == 1
{txt}variable {bf}org_donation_id{sf} was {bf}{res}str1{sf}{txt} now {bf}{res}str23{sf}
{txt}(3 real changes made)

{com}.         replace org_donation_id = "No choice" if donate_d == 1 & org_donation_id == ""
{txt}(2 real changes made)

{com}.         lab var org_donation_id "Name of the organization the respondent chose to donate"
{txt}
{com}.         order org_donation_id, after(donate_d)
{txt}
{com}.         
.         * Paid status
.         
.         gen paid_status = 0
{txt}
{com}.         replace paid_status = 2 if donate_d == 1
{txt}(5 real changes made)

{com}.         
.         * Case of payment
.         
.         lab var paid_status "Status of payment of the respondent"
{txt}
{com}.         lab def paid_status 0 "Not yet" 1 "Yes" 2 "Donation"
{txt}
{com}.         lab val paid_status paid_status
{txt}
{com}.         order paid_status, after(org_donation_id)
{txt}
{com}.         
.         keep responseid donate_d org_donation_id paid_status
{txt}
{com}.         
.         tempfile payment_module
{txt}
{com}.         sa "`payment_module'"
{txt}file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.000004 saved

{com}.         
.         restore
{txt}
{com}.         
.         * Main form of survey 
.         keep country full_name recipientemail responseid progress durationinseconds finished userlanguage num_unit confirmation_* ///
>         title_bur* elecpol_ovrsee* title_elecpol* aptpol_d* title_aptpol* who_aptpol* mostinf_servdel* educ_elecpolbur* ///
>         educ_apolbur* slry_elecpolbur* slry_apolbur* fdout_epol_bgt* fdout_apol_bgt* budsect_epol* budsect_apol* acinfexp_epol* /// 
>         acinfexp_apol* understand_epol* understand_apol* acttake_epol* acttake_epol* acttake_apol* acttake_apol* likely* why_likchan* /// 
>         who_apt_bur* who_apt_bur* who_fir_bur* who_fir_bur* ocap_epol* ocap_apol* prio_epol* prio_apol* overall_conf* avg_educ_epol* ///
>         avg_educ_apol* avg_educ_buro* avg_slry_epol* avg_slry_apol* avg_slry_buro* //
{txt}
{com}.         
.         destring durationinseconds progress, replace
{txt}durationinseconds: all characters numeric; {res}replaced {txt}as {res}int
{txt}progress: all characters numeric; {res}replaced {txt}as {res}byte
{txt}
{com}.         replace durationinseconds = round(durationinseconds/60)
{txt}(11 real changes made)

{com}.         ren durationinseconds duration_minutes
{res}{txt}
{com}. 
.         *--
.         
.         local id country full_name recipientemail responseid userlanguage num_unit finished progress duration_minutes
{txt}
{com}.         
.         order `id', first
{txt}
{com}.         duplicates drop `id', force

{p 0 4}{txt}Duplicates in terms of {res} country full_name recipientemail responseid userlanguage num_unit finished progress duration_minutes{p_end}

{txt}(0 observations are duplicates)

{com}.         
.         * Renaming others
.         
.         forvalues x = 1/3 {c -(}
{txt}  2{com}.                 
.                 forvalues y = 1/6 {c -(} 
{txt}  3{com}.                 
.                         cap ren who_apt_bur_`x'_`y'_8_text who_apt_buroth_`x'_`y'
{txt}  4{com}.                         cap ren who_fir_bur_`x'_`y'_8_text who_fir_buroth_`x'_`y'
{txt}  5{com}.                         cap ren acttake_epol_`x'_`y'_9_text acttake_epoloth_`x'_`y'
{txt}  6{com}.                         cap ren acttake_apol_`x'_`y'_9_text acttake_apoloth_`x'_`y'
{txt}  7{com}.                         
.                         {c )-}
{txt}  8{com}.                         
.                 {c )-}
{txt}
{com}.         
.         #delimit ;
{txt}delimiter now ;
{com}.         local var confirmation
>         title_bur 
>         elecpol_ovrsee
>         title_elecpol
>         aptpol_d
>         title_aptpol
>         who_aptpol
>         mostinf_servdel
>         educ_elecpolbur
>         educ_apolbur
>         slry_elecpolbur
>         slry_apolbur
>         fdout_epol_bgt
>         fdout_apol_bgt
>         budsect_epol
>         budsect_apol
>         acinfexp_epol
>         acinfexp_apol
>         understand_epol
>         understand_apol
>         acttake_epol
>         acttake_epoloth
>         acttake_apol
>         acttake_apoloth
>         likely
>         why_likchan
>         who_apt_bur
>         who_apt_buroth
>         who_fir_bur
>         who_fir_buroth
>         ocap_epol
>         ocap_apol
>         prio_epol
>         prio_apol
>         overall_conf
>         avg_educ_epol
>         avg_educ_apol
>         avg_educ_buro
>         avg_slry_epol
>         avg_slry_apol
>         avg_slry_buro
>         
>         ;
{txt}
{com}.                 #delimit cr
{txt}delimiter now cr
{com}. 
.         reshape long `var', i(`id') j(pos) s
{txt}(note: j = _1_1 _1_4 _1_5 _1_6 _2_1 _2_2 _2_4 _2_5 _2_6 _3_1 _3_2 _3_3 _3_4 _3_5 _3_6)
(note: confirmation_1_4 not found)
(note: confirmation_1_5 not found)
(note: confirmation_1_6 not found)
(note: confirmation_2_4 not found)
(note: confirmation_2_5 not found)
(note: confirmation_2_6 not found)
(note: confirmation_3_4 not found)
(note: confirmation_3_5 not found)
(note: confirmation_3_6 not found)

Data{col 36}wide{col 43}->{col 48}long
{hline 77}
Number of obs.                 {res}      11   {txt}->{res}     165
{txt}Number of variables            {res}     615   {txt}->{res}      51
{txt}j variable (15 values)                    ->   {res}pos
{txt}xij variables:
{res}confirmation_1_1 confirmation_1_4 ... confirmation_3_6{txt}->{res}confirmation
title_bur_1_1 title_bur_1_4 ... title_bur_3_6{txt}->{res}title_bur
elecpol_ovrsee_1_1 elecpol_ovrsee_1_4 ... elecpol_ovrsee_3_6{txt}->{res}elecpol_ovrsee
title_elecpol_1_1 title_elecpol_1_4 ... title_elecpol_3_6{txt}->{res}title_elecpol
aptpol_d_1_1 aptpol_d_1_4 ... aptpol_d_3_6{txt}->   {res}aptpol_d
title_aptpol_1_1 title_aptpol_1_4 ... title_aptpol_3_6{txt}->{res}title_aptpol
who_aptpol_1_1 who_aptpol_1_4 ... who_aptpol_3_6{txt}->{res}who_aptpol
mostinf_servdel_1_1 mostinf_servdel_1_4 ... mostinf_servdel_3_6{txt}->{res}mostinf_servdel
educ_elecpolbur_1_1 educ_elecpolbur_1_4 ... educ_elecpolbur_3_6{txt}->{res}educ_elecpolbur
educ_apolbur_1_1 educ_apolbur_1_4 ... educ_apolbur_3_6{txt}->{res}educ_apolbur
slry_elecpolbur_1_1 slry_elecpolbur_1_4 ... slry_elecpolbur_3_6{txt}->{res}slry_elecpolbur
slry_apolbur_1_1 slry_apolbur_1_4 ... slry_apolbur_3_6{txt}->{res}slry_apolbur
fdout_epol_bgt_1_1 fdout_epol_bgt_1_4 ... fdout_epol_bgt_3_6{txt}->{res}fdout_epol_bgt
fdout_apol_bgt_1_1 fdout_apol_bgt_1_4 ... fdout_apol_bgt_3_6{txt}->{res}fdout_apol_bgt
budsect_epol_1_1 budsect_epol_1_4 ... budsect_epol_3_6{txt}->{res}budsect_epol
budsect_apol_1_1 budsect_apol_1_4 ... budsect_apol_3_6{txt}->{res}budsect_apol
acinfexp_epol_1_1 acinfexp_epol_1_4 ... acinfexp_epol_3_6{txt}->{res}acinfexp_epol
acinfexp_apol_1_1 acinfexp_apol_1_4 ... acinfexp_apol_3_6{txt}->{res}acinfexp_apol
understand_epol_1_1 understand_epol_1_4 ... understand_epol_3_6{txt}->{res}understand_epol
understand_apol_1_1 understand_apol_1_4 ... understand_apol_3_6{txt}->{res}understand_apol
acttake_epol_1_1 acttake_epol_1_4 ... acttake_epol_3_6{txt}->{res}acttake_epol
acttake_epoloth_1_1 acttake_epoloth_1_4 ... acttake_epoloth_3_6{txt}->{res}acttake_epoloth
acttake_apol_1_1 acttake_apol_1_4 ... acttake_apol_3_6{txt}->{res}acttake_apol
acttake_apoloth_1_1 acttake_apoloth_1_4 ... acttake_apoloth_3_6{txt}->{res}acttake_apoloth
   likely_1_1 likely_1_4 ... likely_3_6   {txt}->   {res}likely
why_likchan_1_1 why_likchan_1_4 ... why_likchan_3_6{txt}->{res}why_likchan
who_apt_bur_1_1 who_apt_bur_1_4 ... who_apt_bur_3_6{txt}->{res}who_apt_bur
who_apt_buroth_1_1 who_apt_buroth_1_4 ... who_apt_buroth_3_6{txt}->{res}who_apt_buroth
who_fir_bur_1_1 who_fir_bur_1_4 ... who_fir_bur_3_6{txt}->{res}who_fir_bur
who_fir_buroth_1_1 who_fir_buroth_1_4 ... who_fir_buroth_3_6{txt}->{res}who_fir_buroth
ocap_epol_1_1 ocap_epol_1_4 ... ocap_epol_3_6{txt}->{res}ocap_epol
ocap_apol_1_1 ocap_apol_1_4 ... ocap_apol_3_6{txt}->{res}ocap_apol
prio_epol_1_1 prio_epol_1_4 ... prio_epol_3_6{txt}->{res}prio_epol
prio_apol_1_1 prio_apol_1_4 ... prio_apol_3_6{txt}->{res}prio_apol
overall_conf_1_1 overall_conf_1_4 ... overall_conf_3_6{txt}->{res}overall_conf
avg_educ_epol_1_1 avg_educ_epol_1_4 ... avg_educ_epol_3_6{txt}->{res}avg_educ_epol
avg_educ_apol_1_1 avg_educ_apol_1_4 ... avg_educ_apol_3_6{txt}->{res}avg_educ_apol
avg_educ_buro_1_1 avg_educ_buro_1_4 ... avg_educ_buro_3_6{txt}->{res}avg_educ_buro
avg_slry_epol_1_1 avg_slry_epol_1_4 ... avg_slry_epol_3_6{txt}->{res}avg_slry_epol
avg_slry_apol_1_1 avg_slry_apol_1_4 ... avg_slry_apol_3_6{txt}->{res}avg_slry_apol
avg_slry_buro_1_1 avg_slry_buro_1_4 ... avg_slry_buro_3_6{txt}->{res}avg_slry_buro
{txt}{hline 77}

{com}.         
.         * Filter data
.         
.         split pos, p("_")
{res}variables created as string: 
{txt}{col 1}pos1{col 7}pos2{col 13}pos3

{com}.         
.         drop pos1
{txt}
{com}.         ren pos2 case_n_unit
{res}{txt}
{com}.         ren pos3 unit_num
{res}{txt}
{com}.         destring case_n_unit unit_num, replace
{txt}case_n_unit: all characters numeric; {res}replaced {txt}as {res}byte
{txt}unit_num: all characters numeric; {res}replaced {txt}as {res}byte
{txt}
{com}.         order case_n_unit unit_num, after(duration_minutes)
{txt}
{com}.         drop pos
{txt}
{com}.         
.         destring num_unit, replace
{txt}num_unit: all characters numeric; {res}replaced {txt}as {res}byte
{txt}
{com}.         drop if num_unit != case_n_unit
{txt}(104 observations deleted)

{com}.         drop num_unit
{txt}
{com}.         
.         compress
  {txt}variable {bf}country{sf} was {bf}{res}str15{sf}{txt} now {bf}{res}str11{sf}
  {txt}variable {bf}full_name{sf} was {bf}{res}str28{sf}{txt} now {bf}{res}str23{sf}
  {txt}variable {bf}recipientemail{sf} was {bf}{res}str35{sf}{txt} now {bf}{res}str32{sf}
  {txt}variable {bf}userlanguage{sf} was {bf}{res}str13{sf}{txt} now {bf}{res}str2{sf}
  {txt}variable {bf}finished{sf} was {bf}{res}str8{sf}{txt} now {bf}{res}str4{sf}
  {txt}variable {bf}title_bur{sf} was {bf}{res}str448{sf}{txt} now {bf}{res}str235{sf}
  {txt}variable {bf}elecpol_ovrsee{sf} was {bf}{res}str352{sf}{txt} now {bf}{res}str3{sf}
  {txt}variable {bf}title_elecpol{sf} was {bf}{res}str312{sf}{txt} now {bf}{res}str288{sf}
  {txt}variable {bf}aptpol_d{sf} was {bf}{res}str332{sf}{txt} now {bf}{res}str30{sf}
  {txt}variable {bf}who_aptpol{sf} was {bf}{res}str96{sf}{txt} now {bf}{res}str84{sf}
  {txt}variable {bf}mostinf_servdel{sf} was {bf}{res}str256{sf}{txt} now {bf}{res}str44{sf}
  {txt}variable {bf}educ_elecpolbur{sf} was {bf}{res}str258{sf}{txt} now {bf}{res}str51{sf}
  {txt}variable {bf}educ_apolbur{sf} was {bf}{res}str260{sf}{txt} now {bf}{res}str1{sf}
  {txt}variable {bf}slry_elecpolbur{sf} was {bf}{res}str316{sf}{txt} now {bf}{res}str47{sf}
  {txt}variable {bf}slry_apolbur{sf} was {bf}{res}str318{sf}{txt} now {bf}{res}str1{sf}
  {txt}variable {bf}fdout_epol_bgt{sf} was {bf}{res}str373{sf}{txt} now {bf}{res}str19{sf}
  {txt}variable {bf}fdout_apol_bgt{sf} was {bf}{res}str375{sf}{txt} now {bf}{res}str1{sf}
  {txt}variable {bf}budsect_epol{sf} was {bf}{res}str217{sf}{txt} now {bf}{res}str19{sf}
  {txt}variable {bf}budsect_apol{sf} was {bf}{res}str219{sf}{txt} now {bf}{res}str1{sf}
  {txt}variable {bf}acinfexp_epol{sf} was {bf}{res}str216{sf}{txt} now {bf}{res}str19{sf}
  {txt}variable {bf}acinfexp_apol{sf} was {bf}{res}str218{sf}{txt} now {bf}{res}str1{sf}
  {txt}variable {bf}understand_epol{sf} was {bf}{res}str214{sf}{txt} now {bf}{res}str21{sf}
  {txt}variable {bf}understand_apol{sf} was {bf}{res}str216{sf}{txt} now {bf}{res}str21{sf}
  {txt}variable {bf}acttake_epol{sf} was {bf}{res}str247{sf}{txt} now {bf}{res}str163{sf}
  {txt}variable {bf}acttake_epoloth{sf} was {bf}{res}str261{sf}{txt} now {bf}{res}str63{sf}
  {txt}variable {bf}acttake_apol{sf} was {bf}{res}str250{sf}{txt} now {bf}{res}str1{sf}
  {txt}variable {bf}acttake_apoloth{sf} was {bf}{res}str264{sf}{txt} now {bf}{res}str1{sf}
  {txt}variable {bf}likely{sf} was {bf}{res}str159{sf}{txt} now {bf}{res}str18{sf}
  {txt}variable {bf}who_apt_bur{sf} was {bf}{res}str126{sf}{txt} now {bf}{res}str64{sf}
  {txt}variable {bf}who_fir_bur{sf} was {bf}{res}str120{sf}{txt} now {bf}{res}str64{sf}
  {txt}variable {bf}who_fir_buroth{sf} was {bf}{res}str134{sf}{txt} now {bf}{res}str77{sf}
  {txt}variable {bf}ocap_epol{sf} was {bf}{res}str359{sf}{txt} now {bf}{res}str55{sf}
  {txt}variable {bf}ocap_apol{sf} was {bf}{res}str361{sf}{txt} now {bf}{res}str1{sf}
  {txt}variable {bf}prio_epol{sf} was {bf}{res}str209{sf}{txt} now {bf}{res}str73{sf}
  {txt}variable {bf}prio_apol{sf} was {bf}{res}str211{sf}{txt} now {bf}{res}str1{sf}
  {txt}variable {bf}overall_conf{sf} was {bf}{res}str191{sf}{txt} now {bf}{res}str17{sf}
  {txt}variable {bf}avg_educ_buro{sf} was {bf}{res}str117{sf}{txt} now {bf}{res}str101{sf}
  {txt}variable {bf}avg_slry_apol{sf} was {bf}{res}str134{sf}{txt} now {bf}{res}str128{sf}
  {txt}variable {bf}avg_slry_buro{sf} was {bf}{res}str134{sf}{txt} now {bf}{res}str87{sf}
  {txt}variable {bf}confirmation{sf} was {bf}{res}str1148{sf}{txt} now {bf}{res}str63{sf}
{txt}  (462,685 bytes saved)

{com}.         
.         * We edit the label 
.         
.         lab var country "Country"
{txt}
{com}.         lab var full_name  "Full name of recipient"
{txt}
{com}.         lab var recipientemail "Recipient email"
{txt}
{com}.         lab var userlanguage "Language used to answer"
{txt}
{com}.         lab var finished "Completion status"
{txt}
{com}.         lab var progress "Progress"
{txt}
{com}.         lab var duration_minutes "Duration in minutes"
{txt}
{com}.         lab var case_n_unit "Original number of entities"
{txt}
{com}.         lab var unit_num "Unit number"
{txt}
{com}.         
.         * Confirmation
.         
.         fre confirmation
{res}
{txt}confirmation
{txt}{hline 54}{hline 1}{c TT}{hline 44}
{txt}        {txt}                                               {c |}      Freq.    Percent      Valid       Cum.
{txt}{hline 54}{hline 1}{c +}{hline 44}
{txt}Valid   No, this is inaccurate. This level needs to be {c |}{res}          2       3.28       7.14       7.14
{txt}        replaced/deleted                               {c |}{res}                                            
{txt}        No, this level needs to be replaced/deleted    {c |}{res}          2       3.28       7.14      14.29
{txt}        Yes, this is accurate                          {c |}{res}         24      39.34      85.71     100.00
{txt}        Total                                          {c |}{res}         28      45.90     100.00           
{txt}Missing                                                {c |}{res}         33      54.10                      
{txt}Total                                                  {c |}{res}         61     100.00                      
{txt}{hline 54}{hline 1}{c BT}{hline 44}

{com}.         replace confirmation = "1" if confirmation == "Yes, this is accurate"
{txt}(24 real changes made)

{com}.         replace confirmation = "0" if regexm(confirmation,"No")
{txt}(4 real changes made)

{com}.         destring confirmation, replace
{txt}confirmation: all characters numeric; {res}replaced {txt}as {res}byte
{txt}(33 missing values generated)
{res}{txt}
{com}.         
.         lab var confirmation "Confirmation of adequacy of unit"
{txt}
{com}.         lab def confirmation 0 "No, this is not accurate. It should be replaced/deleted" 1 "Yes, this is accurate"
{txt}
{com}.         lab val confirmation confirmation
{txt}
{com}.         
.         fre confirmation
{res}
{txt}confirmation {hline 2} Confirmation of adequacy of unit
{txt}{hline 48}{hline 1}{c TT}{hline 44}
{txt}        {txt}                                         {c |}      Freq.    Percent      Valid       Cum.
{txt}{hline 48}{hline 1}{c +}{hline 44}
{txt}Valid   0 No, this is not accurate. It should be {c |}{res}          4       6.56      14.29      14.29
{txt}          replaced/deleted                       {c |}{res}                                            
{txt}        1 Yes, this is accurate                  {c |}{res}         24      39.34      85.71     100.00
{txt}        Total                                    {c |}{res}         28      45.90     100.00           
{txt}Missing .                                        {c |}{res}         33      54.10                      
{txt}Total                                            {c |}{res}         61     100.00                      
{txt}{hline 48}{hline 1}{c BT}{hline 44}

{com}.         
.         order confirmation, after(unit_num)
{txt}
{com}.         
.         * Creating variable about asked_survey (should be updated)
.         
.         gen asked_survey = 0
{txt}
{com}.         replace asked_survey = 1 if confirmation == 1
{txt}(24 real changes made)

{com}.         lab var asked_survey "Survey question asked to respondent"
{txt}
{com}.         lab def yesno 0 "No" 1 "Yes"
{txt}
{com}.         lab val asked_survey yesno
{txt}
{com}.         order asked_survey, after(confirmation)
{txt}
{com}.         
.         * title_bur
.         
.         lab var title_bur "Title of the highest-level bureaucrat in unit"
{txt}
{com}.         
.         gen test_title_bur = (title_bur != "")
{txt}
{com}.         replace test_title_bur = . if asked_survey == 0
{txt}(37 real changes made, 37 to missing)

{com}.         fre test_title_bur
{res}
{txt}test_title_bur
{txt}{hline 9}{hline 1}{c TT}{hline 44}
{txt}        {txt}  {c |}      Freq.    Percent      Valid       Cum.
{txt}{hline 9}{hline 1}{c +}{hline 44}
{txt}Valid   1 {c |}{res}         24      39.34     100.00     100.00
{txt}Missing . {c |}{res}         37      60.66                      
{txt}Total     {c |}{res}         61     100.00                      
{txt}{hline 9}{hline 1}{c BT}{hline 44}

{com}.         assert inlist(test_title_bur,.,1)
{txt}
{com}.         
.         drop test_title_bur
{txt}
{com}.         
.         * elecpol_ovrsee
.         
.         lab var elecpol_ovrsee "Any politicians in unit overseeing service delivery"
{txt}
{com}.         replace elecpol_ovrsee = "0" if elecpol_ovrsee == "No"
{txt}(2 real changes made)

{com}.         replace elecpol_ovrsee = "1" if elecpol_ovrsee == "Yes"
{txt}(23 real changes made)

{com}.         destring elecpol_ovrsee, replace
{txt}elecpol_ovrsee: all characters numeric; {res}replaced {txt}as {res}byte
{txt}(36 missing values generated)
{res}{txt}
{com}.         lab val elecpol_ovrsee yesno
{txt}
{com}.         
.         fre elecpol_ovrsee
{res}
{txt}elecpol_ovrsee {hline 2} Any politicians in unit overseeing service delivery
{txt}{hline 13}{hline 1}{c TT}{hline 44}
{txt}        {txt}      {c |}      Freq.    Percent      Valid       Cum.
{txt}{hline 13}{hline 1}{c +}{hline 44}
{txt}Valid   0 No  {c |}{res}          2       3.28       8.00       8.00
{txt}        1 Yes {c |}{res}         23      37.70      92.00     100.00
{txt}        Total {c |}{res}         25      40.98     100.00           
{txt}Missing .     {c |}{res}         36      59.02                      
{txt}Total         {c |}{res}         61     100.00                      
{txt}{hline 13}{hline 1}{c BT}{hline 44}

{com}.         
.         gen test_elecpol_ovrsee = (elecpol_ovrsee != .)
{txt}
{com}.         replace test_elecpol_ovrsee = . if asked_survey == 0
{txt}(37 real changes made, 37 to missing)

{com}.         fre test_elecpol_ovrsee
{res}
{txt}test_elecpol_ovrsee
{txt}{hline 9}{hline 1}{c TT}{hline 44}
{txt}        {txt}  {c |}      Freq.    Percent      Valid       Cum.
{txt}{hline 9}{hline 1}{c +}{hline 44}
{txt}Valid   1 {c |}{res}         24      39.34     100.00     100.00
{txt}Missing . {c |}{res}         37      60.66                      
{txt}Total     {c |}{res}         61     100.00                      
{txt}{hline 9}{hline 1}{c BT}{hline 44}

{com}.         assert inlist(test_elecpol_ovrsee,.,1)
{txt}
{com}.         
.         drop test_elecpol_ovrsee
{txt}
{com}.         
.         * title_elecpol
.         
.         lab var title_elecpol "Title of the highest-level elected politician in unit"
{txt}
{com}.         
.         gen test_title_elecpol = (title_elecpol != "")
{txt}
{com}.         replace test_title_elecpol = . if asked_survey == 0
{txt}(37 real changes made, 37 to missing)

{com}.         replace test_title_elecpol = . if elecpol_ovrsee == 0
{txt}(1 real change made, 1 to missing)

{com}.         fre test_title_elecpol
{res}
{txt}test_title_elecpol
{txt}{hline 9}{hline 1}{c TT}{hline 44}
{txt}        {txt}  {c |}      Freq.    Percent      Valid       Cum.
{txt}{hline 9}{hline 1}{c +}{hline 44}
{txt}Valid   1 {c |}{res}         23      37.70     100.00     100.00
{txt}Missing . {c |}{res}         38      62.30                      
{txt}Total     {c |}{res}         61     100.00                      
{txt}{hline 9}{hline 1}{c BT}{hline 44}

{com}.         assert inlist(test_title_elecpol,.,1)
{txt}
{com}.         
.         drop test_title_elecpol
{txt}
{com}.         
.         * aptpol_d
.         
.         fre aptpol_d
{res}
{txt}aptpol_d
{txt}{hline 38}{hline 1}{c TT}{hline 44}
{txt}        {txt}                               {c |}      Freq.    Percent      Valid       Cum.
{txt}{hline 38}{hline 1}{c +}{hline 44}
{txt}Valid   Do not know / Refuse to answer {c |}{res}          1       1.64       4.00       4.00
{txt}        No                             {c |}{res}         15      24.59      60.00      64.00
{txt}        Yes                            {c |}{res}          9      14.75      36.00     100.00
{txt}        Total                          {c |}{res}         25      40.98     100.00           
{txt}Missing                                {c |}{res}         36      59.02                      
{txt}Total                                  {c |}{res}         61     100.00                      
{txt}{hline 38}{hline 1}{c BT}{hline 44}

{com}.         
.         lab var aptpol_d "Politician appointed by higher politician in unit"
{txt}
{com}.         replace aptpol_d = "0" if aptpol_d == "No"
{txt}(15 real changes made)

{com}.         replace aptpol_d = "1" if aptpol_d == "Yes"
{txt}(9 real changes made)

{com}.         replace aptpol_d = "-98" if aptpol_d == "Do not know / Refuse to answer"
{txt}(1 real change made)

{com}.         destring aptpol_d, replace
{txt}aptpol_d: all characters numeric; {res}replaced {txt}as {res}byte
{txt}(36 missing values generated)
{res}{txt}
{com}.         lab val aptpol_d yesno
{txt}
{com}.         
.         fre aptpol_d
{res}
{txt}aptpol_d {hline 2} Politician appointed by higher politician in unit
{txt}{hline 15}{hline 1}{c TT}{hline 44}
{txt}        {txt}        {c |}      Freq.    Percent      Valid       Cum.
{txt}{hline 15}{hline 1}{c +}{hline 44}
{txt}Valid   -98     {c |}{res}          1       1.64       4.00       4.00
{txt}        0   No  {c |}{res}         15      24.59      60.00      64.00
{txt}        1   Yes {c |}{res}          9      14.75      36.00     100.00
{txt}        Total   {c |}{res}         25      40.98     100.00           
{txt}Missing .       {c |}{res}         36      59.02                      
{txt}Total           {c |}{res}         61     100.00                      
{txt}{hline 15}{hline 1}{c BT}{hline 44}

{com}.         
.         gen test_aptpol_d = (aptpol_d != .)
{txt}
{com}.         replace test_aptpol_d = . if asked_survey == 0
{txt}(37 real changes made, 37 to missing)

{com}.         fre test_aptpol_d
{res}
{txt}test_aptpol_d
{txt}{hline 9}{hline 1}{c TT}{hline 44}
{txt}        {txt}  {c |}      Freq.    Percent      Valid       Cum.
{txt}{hline 9}{hline 1}{c +}{hline 44}
{txt}Valid   1 {c |}{res}         24      39.34     100.00     100.00
{txt}Missing . {c |}{res}         37      60.66                      
{txt}Total     {c |}{res}         61     100.00                      
{txt}{hline 9}{hline 1}{c BT}{hline 44}

{com}.         assert inlist(test_aptpol_d,.,1)
{txt}
{com}.         
.         drop test_aptpol_d
{txt}
{com}.         
.         * pol_exist_d
.         
.         gen pol_exist_d = 0
{txt}
{com}.         replace pol_exist_d = 1 if aptpol_d == 1 | elecpol_ovrsee == 1
{txt}(23 real changes made)

{com}.         replace pol_exist_d = . if asked_survey == 0
{txt}(37 real changes made, 37 to missing)

{com}.         lab val pol_exist_d yesno
{txt}
{com}.         lab var pol_exist_d "1 if we have either an appointed or elected politician"
{txt}
{com}.         
.         fre pol_exist_d
{res}
{txt}pol_exist_d {hline 2} 1 if we have either an appointed or elected politician
{txt}{hline 13}{hline 1}{c TT}{hline 44}
{txt}        {txt}      {c |}      Freq.    Percent      Valid       Cum.
{txt}{hline 13}{hline 1}{c +}{hline 44}
{txt}Valid   0 No  {c |}{res}          1       1.64       4.17       4.17
{txt}        1 Yes {c |}{res}         23      37.70      95.83     100.00
{txt}        Total {c |}{res}         24      39.34     100.00           
{txt}Missing .     {c |}{res}         37      60.66                      
{txt}Total         {c |}{res}         61     100.00                      
{txt}{hline 13}{hline 1}{c BT}{hline 44}

{com}.         order pol_exist_d, after(aptpol_d)
{txt}
{com}.         
.         * title_aptpol
.         
.         lab var title_aptpol "Title of the highest-level appointed politician in unit"
{txt}
{com}.         
.         gen test_title_aptpol = (title_aptpol != "")
{txt}
{com}.         replace test_title_aptpol = . if asked_survey == 0 
{txt}(37 real changes made, 37 to missing)

{com}.         replace test_title_aptpol = . if aptpol_d == 0 | aptpol_d == -98
{txt}(15 real changes made, 15 to missing)

{com}.         fre test_title_aptpol
{res}
{txt}test_title_aptpol
{txt}{hline 9}{hline 1}{c TT}{hline 44}
{txt}        {txt}  {c |}      Freq.    Percent      Valid       Cum.
{txt}{hline 9}{hline 1}{c +}{hline 44}
{txt}Valid   1 {c |}{res}          9      14.75     100.00     100.00
{txt}Missing . {c |}{res}         52      85.25                      
{txt}Total     {c |}{res}         61     100.00                      
{txt}{hline 9}{hline 1}{c BT}{hline 44}

{com}.         assert inlist(test_title_aptpol,.,1)
{txt}
{com}.         
.         drop test_title_aptpol
{txt}
{com}.         
.         * who_aptpol
.         
.         lab var who_aptpol "Who appoints the highest-level appointed politician in unit"
{txt}
{com}.         
.         gen test_who_aptpol = (who_aptpol != "")
{txt}
{com}.         replace test_who_aptpol = . if asked_survey == 0 
{txt}(37 real changes made, 37 to missing)

{com}.         replace test_who_aptpol = . if aptpol_d == 0 | aptpol_d == -98
{txt}(15 real changes made, 15 to missing)

{com}.         fre test_who_aptpol
{res}
{txt}test_who_aptpol
{txt}{hline 9}{hline 1}{c TT}{hline 44}
{txt}        {txt}  {c |}      Freq.    Percent      Valid       Cum.
{txt}{hline 9}{hline 1}{c +}{hline 44}
{txt}Valid   1 {c |}{res}          9      14.75     100.00     100.00
{txt}Missing . {c |}{res}         52      85.25                      
{txt}Total     {c |}{res}         61     100.00                      
{txt}{hline 9}{hline 1}{c BT}{hline 44}

{com}.         assert inlist(test_who_aptpol,.,1)
{txt}
{com}.         
.         drop test_who_aptpol
{txt}
{com}.         
.         * mostinf_servdel
.         
.         lab var mostinf_servdel "More influential in determining quality of service"
{txt}
{com}.         
.         replace mostinf_servdel = "1" if regexm(mostinf_servdel,"Elected much more")
{txt}(5 real changes made)

{com}.         replace mostinf_servdel = "2" if regexm(mostinf_servdel,"Elected slightly more")
{txt}(0 real changes made)

{com}.         replace mostinf_servdel = "3" if regexm(mostinf_servdel,"About the same")
{txt}(1 real change made)

{com}.         replace mostinf_servdel = "4" if regexm(mostinf_servdel,"Appointed slightly more")
{txt}(0 real changes made)

{com}.         replace mostinf_servdel = "5" if regexm(mostinf_servdel,"Appointed much more")
{txt}(3 real changes made)

{com}.         destring mostinf_servdel, replace
{txt}mostinf_servdel: all characters numeric; {res}replaced {txt}as {res}byte
{txt}(52 missing values generated)
{res}{txt}
{com}.         lab def mostinf_servdel 1 "Elected much more influential" 2 "Elected slightly more influential" 3 "About the same" 4 "Appointed slightly more influential" 5 "Appointed much more influential"
{txt}
{com}.         lab val mostinf_servdel mostinf_servdel
{txt}
{com}.         
.         fre mostinf_servdel
{res}
{txt}mostinf_servdel {hline 2} More influential in determining quality of service
{txt}{hline 41}{hline 1}{c TT}{hline 44}
{txt}        {txt}                                  {c |}      Freq.    Percent      Valid       Cum.
{txt}{hline 41}{hline 1}{c +}{hline 44}
{txt}Valid   1 Elected much more influential   {c |}{res}          5       8.20      55.56      55.56
{txt}        3 About the same                  {c |}{res}          1       1.64      11.11      66.67
{txt}        5 Appointed much more influential {c |}{res}          3       4.92      33.33     100.00
{txt}        Total                             {c |}{res}          9      14.75     100.00           
{txt}Missing .                                 {c |}{res}         52      85.25                      
{txt}Total                                     {c |}{res}         61     100.00                      
{txt}{hline 41}{hline 1}{c BT}{hline 44}

{com}.         
.         gen test_mostinf_servdel = (mostinf_servdel != .)
{txt}
{com}.         replace test_mostinf_servdel = . if asked_survey == 0 
{txt}(37 real changes made, 37 to missing)

{com}.         replace test_mostinf_servdel = . if (inlist(aptpol_d,0,-98) | elecpol_ovrsee == 0)
{txt}(15 real changes made, 15 to missing)

{com}.         fre test_mostinf_servdel
{res}
{txt}test_mostinf_servdel
{txt}{hline 9}{hline 1}{c TT}{hline 44}
{txt}        {txt}  {c |}      Freq.    Percent      Valid       Cum.
{txt}{hline 9}{hline 1}{c +}{hline 44}
{txt}Valid   1 {c |}{res}          9      14.75     100.00     100.00
{txt}Missing . {c |}{res}         52      85.25                      
{txt}Total     {c |}{res}         61     100.00                      
{txt}{hline 9}{hline 1}{c BT}{hline 44}

{com}.         assert inlist(test_mostinf_servdel,.,1)
{txt}
{com}.         
.         drop test_mostinf_servdel
{txt}
{com}.         
.         * educ_elecpolbur
.         
.         lab var educ_elecpolbur "More educated bureaucrat or politician (elec. politician)"
{txt}
{com}.         
.         fre educ_elecpolbur
{res}
{txt}educ_elecpolbur {hline 2} More educated bureaucrat or politician (elec. politician)
{txt}{hline 55}{hline 1}{c TT}{hline 44}
{txt}        {txt}                                                {c |}      Freq.    Percent      Valid       Cum.
{txt}{hline 55}{hline 1}{c +}{hline 44}
{txt}Valid   About the same level of education               {c |}{res}          4       6.56      17.39      17.39
{txt}        Bureaucrats much more educated than Politicians {c |}{res}         13      21.31      56.52      73.91
{txt}        Bureaucrats slightly more educated than         {c |}{res}          6       9.84      26.09     100.00
{txt}        Politicians                                     {c |}{res}                                            
{txt}        Total                                           {c |}{res}         23      37.70     100.00           
{txt}Missing                                                 {c |}{res}         38      62.30                      
{txt}Total                                                   {c |}{res}         61     100.00                      
{txt}{hline 55}{hline 1}{c BT}{hline 44}

{com}.         
.         replace educ_elecpolbur = "1" if regexm(educ_elecpolbur,"Bureaucrats much more educated")
{txt}(13 real changes made)

{com}.         replace educ_elecpolbur = "2" if regexm(educ_elecpolbur,"Bureaucrats slightly more educated")
{txt}(6 real changes made)

{com}.         replace educ_elecpolbur = "3" if regexm(educ_elecpolbur,"About the same")
{txt}(4 real changes made)

{com}.         replace educ_elecpolbur = "4" if regexm(educ_elecpolbur,"Politicians slightly more educated")
{txt}(0 real changes made)

{com}.         replace educ_elecpolbur = "5" if regexm(educ_elecpolbur,"Politicians much more educated")
{txt}(0 real changes made)

{com}.         destring educ_elecpolbur, replace
{txt}educ_elecpolbur: all characters numeric; {res}replaced {txt}as {res}byte
{txt}(38 missing values generated)
{res}{txt}
{com}.         lab def educ_elecpolbur 1 "Bureaucrats much more educated" 2 "Bureaucrats slightly more educated" 3 "About the same" 4 "Politicians slightly more educated" 5 "Politicians much more educated"
{txt}
{com}.         lab val educ_elecpolbur educ_elecpolbur
{txt}
{com}.         
.         fre educ_elecpolbur
{res}
{txt}educ_elecpolbur {hline 2} More educated bureaucrat or politician (elec. politician)
{txt}{hline 44}{hline 1}{c TT}{hline 44}
{txt}        {txt}                                     {c |}      Freq.    Percent      Valid       Cum.
{txt}{hline 44}{hline 1}{c +}{hline 44}
{txt}Valid   1 Bureaucrats much more educated     {c |}{res}         13      21.31      56.52      56.52
{txt}        2 Bureaucrats slightly more educated {c |}{res}          6       9.84      26.09      82.61
{txt}        3 About the same                     {c |}{res}          4       6.56      17.39     100.00
{txt}        Total                                {c |}{res}         23      37.70     100.00           
{txt}Missing .                                    {c |}{res}         38      62.30                      
{txt}Total                                        {c |}{res}         61     100.00                      
{txt}{hline 44}{hline 1}{c BT}{hline 44}

{com}.         
.         gen test_educ_elecpolbur = (educ_elecpolbur != .)
{txt}
{com}.         replace test_educ_elecpolbur = . if asked_survey == 0 
{txt}(37 real changes made, 37 to missing)

{com}.         replace test_educ_elecpolbur = . if elecpol_ovrsee == 0
{txt}(1 real change made, 1 to missing)

{com}.         fre test_educ_elecpolbur
{res}
{txt}test_educ_elecpolbur
{txt}{hline 9}{hline 1}{c TT}{hline 44}
{txt}        {txt}  {c |}      Freq.    Percent      Valid       Cum.
{txt}{hline 9}{hline 1}{c +}{hline 44}
{txt}Valid   1 {c |}{res}         23      37.70     100.00     100.00
{txt}Missing . {c |}{res}         38      62.30                      
{txt}Total     {c |}{res}         61     100.00                      
{txt}{hline 9}{hline 1}{c BT}{hline 44}

{com}.         assert inlist(test_educ_elecpolbur,.,1)
{txt}
{com}.         
.         drop test_educ_elecpolbur
{txt}
{com}.         
.         * educ_apolbur
.         
.         lab var educ_apolbur "More educated bureaucrat or politician (app. politician) "
{txt}
{com}.         
.         fre educ_apolbur
{res}
{txt}educ_apolbur {hline 2} More educated bureaucrat or politician (app. politician) 
{txt}{hline 8}{hline 1}{c TT}{hline 44}
{txt}        {txt} {c |}      Freq.    Percent      Valid       Cum.
{txt}{hline 8}{hline 1}{c +}{hline 44}
{txt}Missing  {c |}{res}         61     100.00                      
{txt}{hline 8}{hline 1}{c BT}{hline 44}

{com}.         
.         replace educ_apolbur = "1" if regexm(educ_apolbur,"Bureaucrats much more educated")
{txt}(0 real changes made)

{com}.         replace educ_apolbur = "2" if regexm(educ_apolbur,"Bureaucrats slightly more educated")
{txt}(0 real changes made)

{com}.         replace educ_apolbur = "3" if regexm(educ_apolbur,"About the same")
{txt}(0 real changes made)

{com}.         replace educ_apolbur = "4" if regexm(educ_apolbur,"Politicians slightly more educated")
{txt}(0 real changes made)

{com}.         replace educ_apolbur = "5" if regexm(educ_apolbur,"Politicians much more educated")
{txt}(0 real changes made)

{com}.         destring educ_apolbur, replace
{txt}educ_apolbur: all characters numeric; {res}replaced {txt}as {res}byte
{txt}(61 missing values generated)
{res}{txt}
{com}.         lab def educ_apolbur 1 "Bureaucrats much more educated" 2 "Bureaucrats slightly more educated" 3 "About the same" 4 "Politicians slightly more educated" 5 "Politicians much more educated"
{txt}
{com}.         lab val educ_apolbur educ_apolbur
{txt}
{com}.         
.         fre educ_apolbur
{res}
{txt}educ_apolbur {hline 2} More educated bureaucrat or politician (app. politician) 
{txt}{hline 13}{hline 1}{c TT}{hline 44}
{txt}        {txt}      {c |}      Freq.    Percent      Valid       Cum.
{txt}{hline 13}{hline 1}{c +}{hline 44}
{txt}Missing .     {c |}{res}         61     100.00                      
{txt}{hline 13}{hline 1}{c BT}{hline 44}

{com}.         
.         gen test_educ_apolbur = (educ_apolbur != .)
{txt}
{com}.         replace test_educ_apolbur = . if asked_survey == 0
{txt}(37 real changes made, 37 to missing)

{com}.         replace test_educ_apolbur = . if aptpol_d == 0
{txt}(14 real changes made, 14 to missing)

{com}.         replace test_educ_apolbur = . if elecpol_ovrsee == 1 
{txt}(10 real changes made, 10 to missing)

{com}.         fre test_educ_apolbur
{res}
{txt}test_educ_apolbur
{txt}{hline 9}{hline 1}{c TT}{hline 44}
{txt}        {txt}  {c |}      Freq.    Percent      Valid       Cum.
{txt}{hline 9}{hline 1}{c +}{hline 44}
{txt}Missing . {c |}{res}         61     100.00                      
{txt}{hline 9}{hline 1}{c BT}{hline 44}

{com}.         assert inlist(test_educ_apolbur,.,1)
{txt}
{com}.         
.         drop test_educ_apolbur
{txt}
{com}.         
.         * slry_elecpolbur
.         
.         lab var slry_elecpolbur "Earning more bureaucrat or politician (elec. politician)"
{txt}
{com}.         
.         fre slry_elecpolbur
{res}
{txt}slry_elecpolbur {hline 2} Earning more bureaucrat or politician (elec. politician)
{txt}{hline 55}{hline 1}{c TT}{hline 44}
{txt}        {txt}                                                {c |}      Freq.    Percent      Valid       Cum.
{txt}{hline 55}{hline 1}{c +}{hline 44}
{txt}Valid   Both earn about the same                        {c |}{res}          4       6.56      17.39      17.39
{txt}        Bureaucrats earn much more than Politicians     {c |}{res}          5       8.20      21.74      39.13
{txt}        Bureaucrats earn slightly more than Politicians {c |}{res}          3       4.92      13.04      52.17
{txt}        Politicians earn much more than Bureaucrats     {c |}{res}          6       9.84      26.09      78.26
{txt}        Politicians earn slightly more than Bureaucrats {c |}{res}          5       8.20      21.74     100.00
{txt}        Total                                           {c |}{res}         23      37.70     100.00           
{txt}Missing                                                 {c |}{res}         38      62.30                      
{txt}Total                                                   {c |}{res}         61     100.00                      
{txt}{hline 55}{hline 1}{c BT}{hline 44}

{com}.         
.         replace slry_elecpolbur = "1" if regexm(slry_elecpolbur,"Bureaucrats earn much")
{txt}(5 real changes made)

{com}.         replace slry_elecpolbur = "2" if regexm(slry_elecpolbur,"Bureaucrats earn slightly")
{txt}(3 real changes made)

{com}.         replace slry_elecpolbur = "3" if regexm(slry_elecpolbur,"Both earn")
{txt}(4 real changes made)

{com}.         replace slry_elecpolbur = "4" if regexm(slry_elecpolbur,"Politicians earn slightly")
{txt}(5 real changes made)

{com}.         replace slry_elecpolbur = "5" if regexm(slry_elecpolbur,"Politicians earn much")
{txt}(6 real changes made)

{com}.         destring slry_elecpolbur, replace
{txt}slry_elecpolbur: all characters numeric; {res}replaced {txt}as {res}byte
{txt}(38 missing values generated)
{res}{txt}
{com}.         lab def slry_elecpolbur 1 "Bureaucrats earn much more" 2 "Bureaucrats earn slightly more" 3 "Both earn the same" 4 "Politicians earn slightly" 5 "Politicians earn much more"
{txt}
{com}.         lab val slry_elecpolbur slry_elecpolbur
{txt}
{com}.         
.         fre slry_elecpolbur
{res}
{txt}slry_elecpolbur {hline 2} Earning more bureaucrat or politician (elec. politician)
{txt}{hline 40}{hline 1}{c TT}{hline 44}
{txt}        {txt}                                 {c |}      Freq.    Percent      Valid       Cum.
{txt}{hline 40}{hline 1}{c +}{hline 44}
{txt}Valid   1 Bureaucrats earn much more     {c |}{res}          5       8.20      21.74      21.74
{txt}        2 Bureaucrats earn slightly more {c |}{res}          3       4.92      13.04      34.78
{txt}        3 Both earn the same             {c |}{res}          4       6.56      17.39      52.17
{txt}        4 Politicians earn slightly      {c |}{res}          5       8.20      21.74      73.91
{txt}        5 Politicians earn much more     {c |}{res}          6       9.84      26.09     100.00
{txt}        Total                            {c |}{res}         23      37.70     100.00           
{txt}Missing .                                {c |}{res}         38      62.30                      
{txt}Total                                    {c |}{res}         61     100.00                      
{txt}{hline 40}{hline 1}{c BT}{hline 44}

{com}.         
.         gen test_slry_elecpolbur = (slry_elecpolbur != .)
{txt}
{com}.         replace test_slry_elecpolbur = . if asked_survey == 0 
{txt}(37 real changes made, 37 to missing)

{com}.         replace test_slry_elecpolbur = . if elecpol_ovrsee == 0
{txt}(1 real change made, 1 to missing)

{com}.         fre test_slry_elecpolbur
{res}
{txt}test_slry_elecpolbur
{txt}{hline 9}{hline 1}{c TT}{hline 44}
{txt}        {txt}  {c |}      Freq.    Percent      Valid       Cum.
{txt}{hline 9}{hline 1}{c +}{hline 44}
{txt}Valid   1 {c |}{res}         23      37.70     100.00     100.00
{txt}Missing . {c |}{res}         38      62.30                      
{txt}Total     {c |}{res}         61     100.00                      
{txt}{hline 9}{hline 1}{c BT}{hline 44}

{com}.         assert inlist(test_slry_elecpolbur,.,1)
{txt}
{com}.         
.         drop test_slry_elecpolbur
{txt}
{com}.         
.         * slry_apolbur
.         
.         lab var slry_apolbur "Earning more bureaucrat or politician (app. politician)"
{txt}
{com}.         
.         fre slry_apolbur
{res}
{txt}slry_apolbur {hline 2} Earning more bureaucrat or politician (app. politician)
{txt}{hline 8}{hline 1}{c TT}{hline 44}
{txt}        {txt} {c |}      Freq.    Percent      Valid       Cum.
{txt}{hline 8}{hline 1}{c +}{hline 44}
{txt}Missing  {c |}{res}         61     100.00                      
{txt}{hline 8}{hline 1}{c BT}{hline 44}

{com}.         
.         replace slry_apolbur = "1" if regexm(slry_apolbur,"Bureaucrats earn much")
{txt}(0 real changes made)

{com}.         replace slry_apolbur = "2" if regexm(slry_apolbur,"Bureaucrats earn slightly")
{txt}(0 real changes made)

{com}.         replace slry_apolbur = "3" if regexm(slry_apolbur,"Both earn")
{txt}(0 real changes made)

{com}.         replace slry_apolbur = "4" if regexm(slry_apolbur,"Politicians earn slightly")
{txt}(0 real changes made)

{com}.         replace slry_apolbur = "5" if regexm(slry_apolbur,"Politicians earn much")
{txt}(0 real changes made)

{com}.         destring slry_apolbur, replace
{txt}slry_apolbur: all characters numeric; {res}replaced {txt}as {res}byte
{txt}(61 missing values generated)
{res}{txt}
{com}.         lab def slry_apolbur 1 "Bureaucrats earn much more" 2 "Bureaucrats earn slightly more" 3 "Both earn the same" 4 "Politicians earn slightly" 5 "Politicians earn much more"
{txt}
{com}.         lab val slry_apolbur slry_apolbur
{txt}
{com}.         
.         fre slry_apolbur
{res}
{txt}slry_apolbur {hline 2} Earning more bureaucrat or politician (app. politician)
{txt}{hline 13}{hline 1}{c TT}{hline 44}
{txt}        {txt}      {c |}      Freq.    Percent      Valid       Cum.
{txt}{hline 13}{hline 1}{c +}{hline 44}
{txt}Missing .     {c |}{res}         61     100.00                      
{txt}{hline 13}{hline 1}{c BT}{hline 44}

{com}.         
.         gen test_slry_apolbur = (slry_apolbur != .)
{txt}
{com}.         replace test_slry_apolbur = . if asked_survey == 0
{txt}(37 real changes made, 37 to missing)

{com}.         replace test_slry_apolbur = . if aptpol_d == 0
{txt}(14 real changes made, 14 to missing)

{com}.         replace test_slry_apolbur = . if elecpol_ovrsee == 1 
{txt}(10 real changes made, 10 to missing)

{com}.         fre test_slry_apolbur
{res}
{txt}test_slry_apolbur
{txt}{hline 9}{hline 1}{c TT}{hline 44}
{txt}        {txt}  {c |}      Freq.    Percent      Valid       Cum.
{txt}{hline 9}{hline 1}{c +}{hline 44}
{txt}Missing . {c |}{res}         61     100.00                      
{txt}{hline 9}{hline 1}{c BT}{hline 44}

{com}.         assert inlist(test_slry_apolbur,.,1)
{txt}
{com}.         
.         drop test_slry_apolbur
{txt}
{com}.         
.         * We merge the payment module
.         
.         merge m:1 responseid using "`payment_module'"
{res}
{txt}{col 5}Result{col 38}# of obs.
{col 5}{hline 41}
{col 5}not matched{col 30}{res}               0
{txt}{col 5}matched{col 30}{res}              61{txt}  (_merge==3)
{col 5}{hline 41}

{com}.         drop _merge
{txt}
{com}.         order donate_d org_donation_id paid_status, after(duration_minutes)
{txt}
{com}.         
.         * fdout_epol_bgt
.         
.         lab var fdout_epol_bgt "Easy to find out about envelop (elec. politician)"
{txt}
{com}.         
.         fre fdout_epol_bgt
{res}
{txt}fdout_epol_bgt {hline 2} Easy to find out about envelop (elec. politician)
{txt}{hline 26}{hline 1}{c TT}{hline 44}
{txt}        {txt}                   {c |}      Freq.    Percent      Valid       Cum.
{txt}{hline 26}{hline 1}{c +}{hline 44}
{txt}Valid   Somewhat difficult {c |}{res}          3       4.92      13.04      13.04
{txt}        Somewhat easy      {c |}{res}          6       9.84      26.09      39.13
{txt}        Very easy          {c |}{res}         14      22.95      60.87     100.00
{txt}        Total              {c |}{res}         23      37.70     100.00           
{txt}Missing                    {c |}{res}         38      62.30                      
{txt}Total                      {c |}{res}         61     100.00                      
{txt}{hline 26}{hline 1}{c BT}{hline 44}

{com}.         
.         replace fdout_epol_bgt = "1" if regexm(fdout_epol_bgt,"Very easy")
{txt}(14 real changes made)

{com}.         replace fdout_epol_bgt = "2" if regexm(fdout_epol_bgt,"Somewhat easy")
{txt}(6 real changes made)

{com}.         replace fdout_epol_bgt = "3" if regexm(fdout_epol_bgt,"Somewhat difficult")
{txt}(3 real changes made)

{com}.         replace fdout_epol_bgt = "4" if regexm(fdout_epol_bgt,"Very difficult")
{txt}(0 real changes made)

{com}.         replace fdout_epol_bgt = "5" if regexm(fdout_epol_bgt,"Not applicable")
{txt}(0 real changes made)

{com}.         replace fdout_epol_bgt = "6" if regexm(fdout_epol_bgt,"Do not know")
{txt}(0 real changes made)

{com}.         
.         destring fdout_epol_bgt, replace
{txt}fdout_epol_bgt: all characters numeric; {res}replaced {txt}as {res}byte
{txt}(38 missing values generated)
{res}{txt}
{com}.         lab def fdout_epol_bgt 1 "Very easy" 2 "Somewhat easy" 3 "Somewhat difficult" 4 "Very difficult" 5 "Not applicable, this level of government has no spending power" 6 "Do not know / Refuse to answer"
{txt}
{com}.         lab val fdout_epol_bgt fdout_epol_bgt
{txt}
{com}.         
.         fre fdout_epol_bgt
{res}
{txt}fdout_epol_bgt {hline 2} Easy to find out about envelop (elec. politician)
{txt}{hline 28}{hline 1}{c TT}{hline 44}
{txt}        {txt}                     {c |}      Freq.    Percent      Valid       Cum.
{txt}{hline 28}{hline 1}{c +}{hline 44}
{txt}Valid   1 Very easy          {c |}{res}         14      22.95      60.87      60.87
{txt}        2 Somewhat easy      {c |}{res}          6       9.84      26.09      86.96
{txt}        3 Somewhat difficult {c |}{res}          3       4.92      13.04     100.00
{txt}        Total                {c |}{res}         23      37.70     100.00           
{txt}Missing .                    {c |}{res}         38      62.30                      
{txt}Total                        {c |}{res}         61     100.00                      
{txt}{hline 28}{hline 1}{c BT}{hline 44}

{com}.         
.         gen test_fdout_epol_bgt = (fdout_epol_bgt != .)
{txt}
{com}.         replace test_fdout_epol_bgt = . if asked_survey == 0 
{txt}(37 real changes made, 37 to missing)

{com}.         replace test_fdout_epol_bgt = . if elecpol_ovrsee == 0
{txt}(1 real change made, 1 to missing)

{com}.         fre test_fdout_epol_bgt
{res}
{txt}test_fdout_epol_bgt
{txt}{hline 9}{hline 1}{c TT}{hline 44}
{txt}        {txt}  {c |}      Freq.    Percent      Valid       Cum.
{txt}{hline 9}{hline 1}{c +}{hline 44}
{txt}Valid   1 {c |}{res}         23      37.70     100.00     100.00
{txt}Missing . {c |}{res}         38      62.30                      
{txt}Total     {c |}{res}         61     100.00                      
{txt}{hline 9}{hline 1}{c BT}{hline 44}

{com}.         assert inlist(fdout_epol_bgt,.,1)
{txt}9 contradictions in 61 observations
{err}assertion is false
{txt}{search r(9), local:r(9);}

end of do-file

{search r(9), local:r(9);}

{com}. do "/var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//SD44938.000000"
{txt}
{com}. 
.         * Purpose: Importing data to run HFC
.         
.         * Setting up globals
.         
.         if "`c(username)'" == "fredericcochinard" {c -(}
.                 
.                 global import_folder "/Users/fredericcochinard/Dropbox/Expert survey/Data/0.survey_dataset/0.import"
.                 global output "/Users/fredericcochinard/Dropbox/Expert survey/Data/0.survey_dataset/1.output"
.                 
.                 {c )-}
{txt}
{com}.                 
.         if "`c(username)'" == "" {c -(}
.         
.                 
.                 {c )-}
{txt}
{com}.         
.         * Looking for renaming folder with problem
.         
.         local myfiles: dir "$import_folder" files "*.xlsx"
{txt}
{com}. 
.         foreach file of local myfiles {c -(}
{txt}  2{com}.                 
.                 local subfile = substr("`file'", 1, .)
{txt}  3{com}.                 local subfile : subinstr local subfile " " "_", all
{txt}  4{com}.                 ! mv "${c -(}import_folder{c )-}/`file'" "${c -(}import_folder{c )-}/`subfile'"
{txt}  5{com}.                 
.                 {c )-}
{txt}

{com}.         
.         * Looking for dataset
.         
.         filelist , dir("$import_folder") pat("*.xlsx")
{res}{txt}Number of files found = {res}1
{txt}
{com}.         
.         gen url = filename
{txt}
{com}.         
.         levelsof url
{txt}`"Expert_survey_February_18,_2025_16.23.xlsx"'

{com}. 
.         local lvlfiles `r(levels)'
{txt}
{com}.         
.         local z = 0
{txt}
{com}.         
.         foreach lvl of local lvlfiles {c -(}
{txt}  2{com}.         
.                 local z = `z' + 1
{txt}  3{com}.                 
.                 local temp : subinstr local lvl `"""' "", all
{txt}  4{com}.                 local url : subinstr local temp "'" "", all
{txt}  5{com}.         
.                 import excel "${c -(}import_folder{c )-}/`url'", first case(lower) clear
{txt}  6{com}.                 
.                 gen num = _n
{txt}  7{com}.                 drop if num == 1
{txt}  8{com}.                 
.                 * Preparing the append
.                 
.                 tempfile data`z'
{txt}  9{com}.                 sa "`data`z''"
{txt} 10{com}.                 
.                 {c )-}
{res}{txt}(1 observation deleted)
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.000001 saved

{com}.                 
.         * We append the dataset to start cleaning
.         
.         use "`data1'", clear
{txt}
{com}.         
.         forvalues x = 2/`z' {c -(}
{txt}  2{com}.         
.                 append using "`data`x''"
{txt}  3{com}.                 
.                 {c )-}
{txt}
{com}.                 
.         duplicates drop

{p 0 4}{txt}Duplicates in terms of {txt} all variables{p_end}

(0 observations are duplicates)

{com}.         
.         * We keep relevant variable
.         drop if recipientemail == "frederic.cochinard@gmail.com"
{txt}(8 observations deleted)

{com}.         drop if recipientemail == "vedpant+spanish@college.harvard.edu"
{txt}(1 observation deleted)

{com}.         drop if recipientemail == "frederic.cochinard+3@gmail.com"
{txt}(1 observation deleted)

{com}.         drop if recipientemail == "frederic.cochinard+1@gmail.com"
{txt}(1 observation deleted)

{com}.         
.         * We remove observation that are not finished
.         drop if finished == "False"
{txt}(9 observations deleted)

{com}.         
.         * We create a save
.         
.         tempfile save_data
{txt}
{com}.         sa "`save_data'"
{txt}file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.000002 saved

{com}.         
.         ******************
.         * Payment module *
.         ******************
.         
.         preserve
{txt}
{com}.         
.         keep responseid method_pay_bank_in_q-q977
{txt}
{com}.         compress
  {txt}variable {bf}method_pay_bank_in_q{sf} was {bf}{res}str237{sf}{txt} now {bf}{res}str24{sf}
  {txt}variable {bf}expert_donation_org{sf} was {bf}{res}str129{sf}{txt} now {bf}{res}str23{sf}
  {txt}variable {bf}q967{sf} was {bf}{res}str236{sf}{txt} now {bf}{res}str65{sf}
  {txt}variable {bf}q978{sf} was {bf}{res}str326{sf}{txt} now {bf}{res}str16{sf}
  {txt}variable {bf}q979{sf} was {bf}{res}str104{sf}{txt} now {bf}{res}str39{sf}
  {txt}variable {bf}q980{sf} was {bf}{res}str95{sf}{txt} now {bf}{res}str11{sf}
  {txt}variable {bf}q987{sf} was {bf}{res}str170{sf}{txt} now {bf}{res}str24{sf}
  {txt}variable {bf}q984{sf} was {bf}{res}str326{sf}{txt} now {bf}{res}str1{sf}
  {txt}variable {bf}q985{sf} was {bf}{res}str104{sf}{txt} now {bf}{res}str1{sf}
  {txt}variable {bf}q986{sf} was {bf}{res}str95{sf}{txt} now {bf}{res}str1{sf}
  {txt}variable {bf}q988{sf} was {bf}{res}str170{sf}{txt} now {bf}{res}str1{sf}
  {txt}variable {bf}q989{sf} was {bf}{res}str559{sf}{txt} now {bf}{res}str1{sf}
  {txt}variable {bf}q990{sf} was {bf}{res}str102{sf}{txt} now {bf}{res}str1{sf}
  {txt}variable {bf}q991{sf} was {bf}{res}str93{sf}{txt} now {bf}{res}str1{sf}
  {txt}variable {bf}q992{sf} was {bf}{res}str170{sf}{txt} now {bf}{res}str1{sf}
  {txt}variable {bf}q998{sf} was {bf}{res}str537{sf}{txt} now {bf}{res}str1{sf}
  {txt}variable {bf}q997{sf} was {bf}{res}str105{sf}{txt} now {bf}{res}str1{sf}
  {txt}variable {bf}q999{sf} was {bf}{res}str104{sf}{txt} now {bf}{res}str1{sf}
  {txt}variable {bf}q1000{sf} was {bf}{res}str95{sf}{txt} now {bf}{res}str1{sf}
  {txt}variable {bf}q1001{sf} was {bf}{res}str170{sf}{txt} now {bf}{res}str1{sf}
  {txt}variable {bf}q977{sf} was {bf}{res}str502{sf}{txt} now {bf}{res}str23{sf}
{txt}  (46,101 bytes saved)

{com}.         
.         * Donate_d
.         
.         gen donate_d = 0
{txt}
{com}.         replace donate_d = 1 if method_pay_bank_in_q == "I prefer to donate"
{txt}(3 real changes made)

{com}.         
.         * Special case
.         replace donate_d = 1 if responseid == "R_4ouc7tR6BFj3gpb" // respondent is refusing to take money in comments
{txt}(1 real change made)

{com}.         replace donate_d = 1 if responseid == "R_4Iow7YzsoT2KTOx" // respondent is writing cancel in comments
{txt}(1 real change made)

{com}.         
.         lab var donate_d "Respondent decided to donate"
{txt}
{com}.         lab def donate_d 0 "No" 1 "Yes"
{txt}
{com}.         lab val donate_d donate_d
{txt}
{com}.         order donate_d, after(responseid)
{txt}
{com}.         
.         * Org
.         
.         gen org_donation_id = "" 
{txt}(11 missing values generated)

{com}.         replace org_donation_id = expert_donation_org if donate_d == 1
{txt}variable {bf}org_donation_id{sf} was {bf}{res}str1{sf}{txt} now {bf}{res}str23{sf}
{txt}(3 real changes made)

{com}.         replace org_donation_id = "No choice" if donate_d == 1 & org_donation_id == ""
{txt}(2 real changes made)

{com}.         lab var org_donation_id "Name of the organization the respondent chose to donate"
{txt}
{com}.         order org_donation_id, after(donate_d)
{txt}
{com}.         
.         * Paid status
.         
.         gen paid_status = 0
{txt}
{com}.         replace paid_status = 2 if donate_d == 1
{txt}(5 real changes made)

{com}.         
.         * Case of payment
.         
.         lab var paid_status "Status of payment of the respondent"
{txt}
{com}.         lab def paid_status 0 "Not yet" 1 "Yes" 2 "Donation"
{txt}
{com}.         lab val paid_status paid_status
{txt}
{com}.         order paid_status, after(org_donation_id)
{txt}
{com}.         
.         keep responseid donate_d org_donation_id paid_status
{txt}
{com}.         
.         tempfile payment_module
{txt}
{com}.         sa "`payment_module'"
{txt}file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.000004 saved

{com}.         
.         restore
{txt}
{com}.         
.         * Main form of survey 
.         keep country full_name recipientemail responseid progress durationinseconds finished userlanguage num_unit confirmation_* ///
>         title_bur* elecpol_ovrsee* title_elecpol* aptpol_d* title_aptpol* who_aptpol* mostinf_servdel* educ_elecpolbur* ///
>         educ_apolbur* slry_elecpolbur* slry_apolbur* fdout_epol_bgt* fdout_apol_bgt* budsect_epol* budsect_apol* acinfexp_epol* /// 
>         acinfexp_apol* understand_epol* understand_apol* acttake_epol* acttake_epol* acttake_apol* acttake_apol* likely* why_likchan* /// 
>         who_apt_bur* who_apt_bur* who_fir_bur* who_fir_bur* ocap_epol* ocap_apol* prio_epol* prio_apol* overall_conf* avg_educ_epol* ///
>         avg_educ_apol* avg_educ_buro* avg_slry_epol* avg_slry_apol* avg_slry_buro* //
{txt}
{com}.         
.         destring durationinseconds progress, replace
{txt}durationinseconds: all characters numeric; {res}replaced {txt}as {res}int
{txt}progress: all characters numeric; {res}replaced {txt}as {res}byte
{txt}
{com}.         replace durationinseconds = round(durationinseconds/60)
{txt}(11 real changes made)

{com}.         ren durationinseconds duration_minutes
{res}{txt}
{com}. 
.         *--
.         
.         local id country full_name recipientemail responseid userlanguage num_unit finished progress duration_minutes
{txt}
{com}.         
.         order `id', first
{txt}
{com}.         duplicates drop `id', force

{p 0 4}{txt}Duplicates in terms of {res} country full_name recipientemail responseid userlanguage num_unit finished progress duration_minutes{p_end}

{txt}(0 observations are duplicates)

{com}.         
.         * Renaming others
.         
.         forvalues x = 1/3 {c -(}
{txt}  2{com}.                 
.                 forvalues y = 1/6 {c -(} 
{txt}  3{com}.                 
.                         cap ren who_apt_bur_`x'_`y'_8_text who_apt_buroth_`x'_`y'
{txt}  4{com}.                         cap ren who_fir_bur_`x'_`y'_8_text who_fir_buroth_`x'_`y'
{txt}  5{com}.                         cap ren acttake_epol_`x'_`y'_9_text acttake_epoloth_`x'_`y'
{txt}  6{com}.                         cap ren acttake_apol_`x'_`y'_9_text acttake_apoloth_`x'_`y'
{txt}  7{com}.                         
.                         {c )-}
{txt}  8{com}.                         
.                 {c )-}
{txt}
{com}.         
.         #delimit ;
{txt}delimiter now ;
{com}.         local var confirmation
>         title_bur 
>         elecpol_ovrsee
>         title_elecpol
>         aptpol_d
>         title_aptpol
>         who_aptpol
>         mostinf_servdel
>         educ_elecpolbur
>         educ_apolbur
>         slry_elecpolbur
>         slry_apolbur
>         fdout_epol_bgt
>         fdout_apol_bgt
>         budsect_epol
>         budsect_apol
>         acinfexp_epol
>         acinfexp_apol
>         understand_epol
>         understand_apol
>         acttake_epol
>         acttake_epoloth
>         acttake_apol
>         acttake_apoloth
>         likely
>         why_likchan
>         who_apt_bur
>         who_apt_buroth
>         who_fir_bur
>         who_fir_buroth
>         ocap_epol
>         ocap_apol
>         prio_epol
>         prio_apol
>         overall_conf
>         avg_educ_epol
>         avg_educ_apol
>         avg_educ_buro
>         avg_slry_epol
>         avg_slry_apol
>         avg_slry_buro
>         
>         ;
{txt}
{com}.                 #delimit cr
{txt}delimiter now cr
{com}. 
.         reshape long `var', i(`id') j(pos) s
{txt}(note: j = _1_1 _1_4 _1_5 _1_6 _2_1 _2_2 _2_4 _2_5 _2_6 _3_1 _3_2 _3_3 _3_4 _3_5 _3_6)
(note: confirmation_1_4 not found)
(note: confirmation_1_5 not found)
(note: confirmation_1_6 not found)
(note: confirmation_2_4 not found)
(note: confirmation_2_5 not found)
(note: confirmation_2_6 not found)
(note: confirmation_3_4 not found)
(note: confirmation_3_5 not found)
(note: confirmation_3_6 not found)

Data{col 36}wide{col 43}->{col 48}long
{hline 77}
Number of obs.                 {res}      11   {txt}->{res}     165
{txt}Number of variables            {res}     615   {txt}->{res}      51
{txt}j variable (15 values)                    ->   {res}pos
{txt}xij variables:
{res}confirmation_1_1 confirmation_1_4 ... confirmation_3_6{txt}->{res}confirmation
title_bur_1_1 title_bur_1_4 ... title_bur_3_6{txt}->{res}title_bur
elecpol_ovrsee_1_1 elecpol_ovrsee_1_4 ... elecpol_ovrsee_3_6{txt}->{res}elecpol_ovrsee
title_elecpol_1_1 title_elecpol_1_4 ... title_elecpol_3_6{txt}->{res}title_elecpol
aptpol_d_1_1 aptpol_d_1_4 ... aptpol_d_3_6{txt}->   {res}aptpol_d
title_aptpol_1_1 title_aptpol_1_4 ... title_aptpol_3_6{txt}->{res}title_aptpol
who_aptpol_1_1 who_aptpol_1_4 ... who_aptpol_3_6{txt}->{res}who_aptpol
mostinf_servdel_1_1 mostinf_servdel_1_4 ... mostinf_servdel_3_6{txt}->{res}mostinf_servdel
educ_elecpolbur_1_1 educ_elecpolbur_1_4 ... educ_elecpolbur_3_6{txt}->{res}educ_elecpolbur
educ_apolbur_1_1 educ_apolbur_1_4 ... educ_apolbur_3_6{txt}->{res}educ_apolbur
slry_elecpolbur_1_1 slry_elecpolbur_1_4 ... slry_elecpolbur_3_6{txt}->{res}slry_elecpolbur
slry_apolbur_1_1 slry_apolbur_1_4 ... slry_apolbur_3_6{txt}->{res}slry_apolbur
fdout_epol_bgt_1_1 fdout_epol_bgt_1_4 ... fdout_epol_bgt_3_6{txt}->{res}fdout_epol_bgt
fdout_apol_bgt_1_1 fdout_apol_bgt_1_4 ... fdout_apol_bgt_3_6{txt}->{res}fdout_apol_bgt
budsect_epol_1_1 budsect_epol_1_4 ... budsect_epol_3_6{txt}->{res}budsect_epol
budsect_apol_1_1 budsect_apol_1_4 ... budsect_apol_3_6{txt}->{res}budsect_apol
acinfexp_epol_1_1 acinfexp_epol_1_4 ... acinfexp_epol_3_6{txt}->{res}acinfexp_epol
acinfexp_apol_1_1 acinfexp_apol_1_4 ... acinfexp_apol_3_6{txt}->{res}acinfexp_apol
understand_epol_1_1 understand_epol_1_4 ... understand_epol_3_6{txt}->{res}understand_epol
understand_apol_1_1 understand_apol_1_4 ... understand_apol_3_6{txt}->{res}understand_apol
acttake_epol_1_1 acttake_epol_1_4 ... acttake_epol_3_6{txt}->{res}acttake_epol
acttake_epoloth_1_1 acttake_epoloth_1_4 ... acttake_epoloth_3_6{txt}->{res}acttake_epoloth
acttake_apol_1_1 acttake_apol_1_4 ... acttake_apol_3_6{txt}->{res}acttake_apol
acttake_apoloth_1_1 acttake_apoloth_1_4 ... acttake_apoloth_3_6{txt}->{res}acttake_apoloth
   likely_1_1 likely_1_4 ... likely_3_6   {txt}->   {res}likely
why_likchan_1_1 why_likchan_1_4 ... why_likchan_3_6{txt}->{res}why_likchan
who_apt_bur_1_1 who_apt_bur_1_4 ... who_apt_bur_3_6{txt}->{res}who_apt_bur
who_apt_buroth_1_1 who_apt_buroth_1_4 ... who_apt_buroth_3_6{txt}->{res}who_apt_buroth
who_fir_bur_1_1 who_fir_bur_1_4 ... who_fir_bur_3_6{txt}->{res}who_fir_bur
who_fir_buroth_1_1 who_fir_buroth_1_4 ... who_fir_buroth_3_6{txt}->{res}who_fir_buroth
ocap_epol_1_1 ocap_epol_1_4 ... ocap_epol_3_6{txt}->{res}ocap_epol
ocap_apol_1_1 ocap_apol_1_4 ... ocap_apol_3_6{txt}->{res}ocap_apol
prio_epol_1_1 prio_epol_1_4 ... prio_epol_3_6{txt}->{res}prio_epol
prio_apol_1_1 prio_apol_1_4 ... prio_apol_3_6{txt}->{res}prio_apol
overall_conf_1_1 overall_conf_1_4 ... overall_conf_3_6{txt}->{res}overall_conf
avg_educ_epol_1_1 avg_educ_epol_1_4 ... avg_educ_epol_3_6{txt}->{res}avg_educ_epol
avg_educ_apol_1_1 avg_educ_apol_1_4 ... avg_educ_apol_3_6{txt}->{res}avg_educ_apol
avg_educ_buro_1_1 avg_educ_buro_1_4 ... avg_educ_buro_3_6{txt}->{res}avg_educ_buro
avg_slry_epol_1_1 avg_slry_epol_1_4 ... avg_slry_epol_3_6{txt}->{res}avg_slry_epol
avg_slry_apol_1_1 avg_slry_apol_1_4 ... avg_slry_apol_3_6{txt}->{res}avg_slry_apol
avg_slry_buro_1_1 avg_slry_buro_1_4 ... avg_slry_buro_3_6{txt}->{res}avg_slry_buro
{txt}{hline 77}

{com}.         
.         * Filter data
.         
.         split pos, p("_")
{res}variables created as string: 
{txt}{col 1}pos1{col 7}pos2{col 13}pos3

{com}.         
.         drop pos1
{txt}
{com}.         ren pos2 case_n_unit
{res}{txt}
{com}.         ren pos3 unit_num
{res}{txt}
{com}.         destring case_n_unit unit_num, replace
{txt}case_n_unit: all characters numeric; {res}replaced {txt}as {res}byte
{txt}unit_num: all characters numeric; {res}replaced {txt}as {res}byte
{txt}
{com}.         order case_n_unit unit_num, after(duration_minutes)
{txt}
{com}.         drop pos
{txt}
{com}.         
.         destring num_unit, replace
{txt}num_unit: all characters numeric; {res}replaced {txt}as {res}byte
{txt}
{com}.         drop if num_unit != case_n_unit
{txt}(104 observations deleted)

{com}.         drop num_unit
{txt}
{com}.         
.         compress
  {txt}variable {bf}country{sf} was {bf}{res}str15{sf}{txt} now {bf}{res}str11{sf}
  {txt}variable {bf}full_name{sf} was {bf}{res}str28{sf}{txt} now {bf}{res}str23{sf}
  {txt}variable {bf}recipientemail{sf} was {bf}{res}str35{sf}{txt} now {bf}{res}str32{sf}
  {txt}variable {bf}userlanguage{sf} was {bf}{res}str13{sf}{txt} now {bf}{res}str2{sf}
  {txt}variable {bf}finished{sf} was {bf}{res}str8{sf}{txt} now {bf}{res}str4{sf}
  {txt}variable {bf}title_bur{sf} was {bf}{res}str448{sf}{txt} now {bf}{res}str235{sf}
  {txt}variable {bf}elecpol_ovrsee{sf} was {bf}{res}str352{sf}{txt} now {bf}{res}str3{sf}
  {txt}variable {bf}title_elecpol{sf} was {bf}{res}str312{sf}{txt} now {bf}{res}str288{sf}
  {txt}variable {bf}aptpol_d{sf} was {bf}{res}str332{sf}{txt} now {bf}{res}str30{sf}
  {txt}variable {bf}who_aptpol{sf} was {bf}{res}str96{sf}{txt} now {bf}{res}str84{sf}
  {txt}variable {bf}mostinf_servdel{sf} was {bf}{res}str256{sf}{txt} now {bf}{res}str44{sf}
  {txt}variable {bf}educ_elecpolbur{sf} was {bf}{res}str258{sf}{txt} now {bf}{res}str51{sf}
  {txt}variable {bf}educ_apolbur{sf} was {bf}{res}str260{sf}{txt} now {bf}{res}str1{sf}
  {txt}variable {bf}slry_elecpolbur{sf} was {bf}{res}str316{sf}{txt} now {bf}{res}str47{sf}
  {txt}variable {bf}slry_apolbur{sf} was {bf}{res}str318{sf}{txt} now {bf}{res}str1{sf}
  {txt}variable {bf}fdout_epol_bgt{sf} was {bf}{res}str373{sf}{txt} now {bf}{res}str19{sf}
  {txt}variable {bf}fdout_apol_bgt{sf} was {bf}{res}str375{sf}{txt} now {bf}{res}str1{sf}
  {txt}variable {bf}budsect_epol{sf} was {bf}{res}str217{sf}{txt} now {bf}{res}str19{sf}
  {txt}variable {bf}budsect_apol{sf} was {bf}{res}str219{sf}{txt} now {bf}{res}str1{sf}
  {txt}variable {bf}acinfexp_epol{sf} was {bf}{res}str216{sf}{txt} now {bf}{res}str19{sf}
  {txt}variable {bf}acinfexp_apol{sf} was {bf}{res}str218{sf}{txt} now {bf}{res}str1{sf}
  {txt}variable {bf}understand_epol{sf} was {bf}{res}str214{sf}{txt} now {bf}{res}str21{sf}
  {txt}variable {bf}understand_apol{sf} was {bf}{res}str216{sf}{txt} now {bf}{res}str21{sf}
  {txt}variable {bf}acttake_epol{sf} was {bf}{res}str247{sf}{txt} now {bf}{res}str163{sf}
  {txt}variable {bf}acttake_epoloth{sf} was {bf}{res}str261{sf}{txt} now {bf}{res}str63{sf}
  {txt}variable {bf}acttake_apol{sf} was {bf}{res}str250{sf}{txt} now {bf}{res}str1{sf}
  {txt}variable {bf}acttake_apoloth{sf} was {bf}{res}str264{sf}{txt} now {bf}{res}str1{sf}
  {txt}variable {bf}likely{sf} was {bf}{res}str159{sf}{txt} now {bf}{res}str18{sf}
  {txt}variable {bf}who_apt_bur{sf} was {bf}{res}str126{sf}{txt} now {bf}{res}str64{sf}
  {txt}variable {bf}who_fir_bur{sf} was {bf}{res}str120{sf}{txt} now {bf}{res}str64{sf}
  {txt}variable {bf}who_fir_buroth{sf} was {bf}{res}str134{sf}{txt} now {bf}{res}str77{sf}
  {txt}variable {bf}ocap_epol{sf} was {bf}{res}str359{sf}{txt} now {bf}{res}str55{sf}
  {txt}variable {bf}ocap_apol{sf} was {bf}{res}str361{sf}{txt} now {bf}{res}str1{sf}
  {txt}variable {bf}prio_epol{sf} was {bf}{res}str209{sf}{txt} now {bf}{res}str73{sf}
  {txt}variable {bf}prio_apol{sf} was {bf}{res}str211{sf}{txt} now {bf}{res}str1{sf}
  {txt}variable {bf}overall_conf{sf} was {bf}{res}str191{sf}{txt} now {bf}{res}str17{sf}
  {txt}variable {bf}avg_educ_buro{sf} was {bf}{res}str117{sf}{txt} now {bf}{res}str101{sf}
  {txt}variable {bf}avg_slry_apol{sf} was {bf}{res}str134{sf}{txt} now {bf}{res}str128{sf}
  {txt}variable {bf}avg_slry_buro{sf} was {bf}{res}str134{sf}{txt} now {bf}{res}str87{sf}
  {txt}variable {bf}confirmation{sf} was {bf}{res}str1148{sf}{txt} now {bf}{res}str63{sf}
{txt}  (462,685 bytes saved)

{com}.         
.         * We edit the label 
.         
.         lab var country "Country"
{txt}
{com}.         lab var full_name  "Full name of recipient"
{txt}
{com}.         lab var recipientemail "Recipient email"
{txt}
{com}.         lab var userlanguage "Language used to answer"
{txt}
{com}.         lab var finished "Completion status"
{txt}
{com}.         lab var progress "Progress"
{txt}
{com}.         lab var duration_minutes "Duration in minutes"
{txt}
{com}.         lab var case_n_unit "Original number of entities"
{txt}
{com}.         lab var unit_num "Unit number"
{txt}
{com}.         
.         * Confirmation
.         
.         fre confirmation
{res}
{txt}confirmation
{txt}{hline 54}{hline 1}{c TT}{hline 44}
{txt}        {txt}                                               {c |}      Freq.    Percent      Valid       Cum.
{txt}{hline 54}{hline 1}{c +}{hline 44}
{txt}Valid   No, this is inaccurate. This level needs to be {c |}{res}          2       3.28       7.14       7.14
{txt}        replaced/deleted                               {c |}{res}                                            
{txt}        No, this level needs to be replaced/deleted    {c |}{res}          2       3.28       7.14      14.29
{txt}        Yes, this is accurate                          {c |}{res}         24      39.34      85.71     100.00
{txt}        Total                                          {c |}{res}         28      45.90     100.00           
{txt}Missing                                                {c |}{res}         33      54.10                      
{txt}Total                                                  {c |}{res}         61     100.00                      
{txt}{hline 54}{hline 1}{c BT}{hline 44}

{com}.         replace confirmation = "1" if confirmation == "Yes, this is accurate"
{txt}(24 real changes made)

{com}.         replace confirmation = "0" if regexm(confirmation,"No")
{txt}(4 real changes made)

{com}.         destring confirmation, replace
{txt}confirmation: all characters numeric; {res}replaced {txt}as {res}byte
{txt}(33 missing values generated)
{res}{txt}
{com}.         
.         lab var confirmation "Confirmation of adequacy of unit"
{txt}
{com}.         lab def confirmation 0 "No, this is not accurate. It should be replaced/deleted" 1 "Yes, this is accurate"
{txt}
{com}.         lab val confirmation confirmation
{txt}
{com}.         
.         fre confirmation
{res}
{txt}confirmation {hline 2} Confirmation of adequacy of unit
{txt}{hline 48}{hline 1}{c TT}{hline 44}
{txt}        {txt}                                         {c |}      Freq.    Percent      Valid       Cum.
{txt}{hline 48}{hline 1}{c +}{hline 44}
{txt}Valid   0 No, this is not accurate. It should be {c |}{res}          4       6.56      14.29      14.29
{txt}          replaced/deleted                       {c |}{res}                                            
{txt}        1 Yes, this is accurate                  {c |}{res}         24      39.34      85.71     100.00
{txt}        Total                                    {c |}{res}         28      45.90     100.00           
{txt}Missing .                                        {c |}{res}         33      54.10                      
{txt}Total                                            {c |}{res}         61     100.00                      
{txt}{hline 48}{hline 1}{c BT}{hline 44}

{com}.         
.         order confirmation, after(unit_num)
{txt}
{com}.         
.         * Creating variable about asked_survey (should be updated)
.         
.         gen asked_survey = 0
{txt}
{com}.         replace asked_survey = 1 if confirmation == 1
{txt}(24 real changes made)

{com}.         lab var asked_survey "Survey question asked to respondent"
{txt}
{com}.         lab def yesno 0 "No" 1 "Yes"
{txt}
{com}.         lab val asked_survey yesno
{txt}
{com}.         order asked_survey, after(confirmation)
{txt}
{com}.         
.         * title_bur
.         
.         lab var title_bur "Title of the highest-level bureaucrat in unit"
{txt}
{com}.         
.         gen test_title_bur = (title_bur != "")
{txt}
{com}.         replace test_title_bur = . if asked_survey == 0
{txt}(37 real changes made, 37 to missing)

{com}.         fre test_title_bur
{res}
{txt}test_title_bur
{txt}{hline 9}{hline 1}{c TT}{hline 44}
{txt}        {txt}  {c |}      Freq.    Percent      Valid       Cum.
{txt}{hline 9}{hline 1}{c +}{hline 44}
{txt}Valid   1 {c |}{res}         24      39.34     100.00     100.00
{txt}Missing . {c |}{res}         37      60.66                      
{txt}Total     {c |}{res}         61     100.00                      
{txt}{hline 9}{hline 1}{c BT}{hline 44}

{com}.         assert inlist(test_title_bur,.,1)
{txt}
{com}.         
.         drop test_title_bur
{txt}
{com}.         
.         * elecpol_ovrsee
.         
.         lab var elecpol_ovrsee "Any politicians in unit overseeing service delivery"
{txt}
{com}.         replace elecpol_ovrsee = "0" if elecpol_ovrsee == "No"
{txt}(2 real changes made)

{com}.         replace elecpol_ovrsee = "1" if elecpol_ovrsee == "Yes"
{txt}(23 real changes made)

{com}.         destring elecpol_ovrsee, replace
{txt}elecpol_ovrsee: all characters numeric; {res}replaced {txt}as {res}byte
{txt}(36 missing values generated)
{res}{txt}
{com}.         lab val elecpol_ovrsee yesno
{txt}
{com}.         
.         fre elecpol_ovrsee
{res}
{txt}elecpol_ovrsee {hline 2} Any politicians in unit overseeing service delivery
{txt}{hline 13}{hline 1}{c TT}{hline 44}
{txt}        {txt}      {c |}      Freq.    Percent      Valid       Cum.
{txt}{hline 13}{hline 1}{c +}{hline 44}
{txt}Valid   0 No  {c |}{res}          2       3.28       8.00       8.00
{txt}        1 Yes {c |}{res}         23      37.70      92.00     100.00
{txt}        Total {c |}{res}         25      40.98     100.00           
{txt}Missing .     {c |}{res}         36      59.02                      
{txt}Total         {c |}{res}         61     100.00                      
{txt}{hline 13}{hline 1}{c BT}{hline 44}

{com}.         
.         gen test_elecpol_ovrsee = (elecpol_ovrsee != .)
{txt}
{com}.         replace test_elecpol_ovrsee = . if asked_survey == 0
{txt}(37 real changes made, 37 to missing)

{com}.         fre test_elecpol_ovrsee
{res}
{txt}test_elecpol_ovrsee
{txt}{hline 9}{hline 1}{c TT}{hline 44}
{txt}        {txt}  {c |}      Freq.    Percent      Valid       Cum.
{txt}{hline 9}{hline 1}{c +}{hline 44}
{txt}Valid   1 {c |}{res}         24      39.34     100.00     100.00
{txt}Missing . {c |}{res}         37      60.66                      
{txt}Total     {c |}{res}         61     100.00                      
{txt}{hline 9}{hline 1}{c BT}{hline 44}

{com}.         assert inlist(test_elecpol_ovrsee,.,1)
{txt}
{com}.         
.         drop test_elecpol_ovrsee
{txt}
{com}.         
.         * title_elecpol
.         
.         lab var title_elecpol "Title of the highest-level elected politician in unit"
{txt}
{com}.         
.         gen test_title_elecpol = (title_elecpol != "")
{txt}
{com}.         replace test_title_elecpol = . if asked_survey == 0
{txt}(37 real changes made, 37 to missing)

{com}.         replace test_title_elecpol = . if elecpol_ovrsee == 0
{txt}(1 real change made, 1 to missing)

{com}.         fre test_title_elecpol
{res}
{txt}test_title_elecpol
{txt}{hline 9}{hline 1}{c TT}{hline 44}
{txt}        {txt}  {c |}      Freq.    Percent      Valid       Cum.
{txt}{hline 9}{hline 1}{c +}{hline 44}
{txt}Valid   1 {c |}{res}         23      37.70     100.00     100.00
{txt}Missing . {c |}{res}         38      62.30                      
{txt}Total     {c |}{res}         61     100.00                      
{txt}{hline 9}{hline 1}{c BT}{hline 44}

{com}.         assert inlist(test_title_elecpol,.,1)
{txt}
{com}.         
.         drop test_title_elecpol
{txt}
{com}.         
.         * aptpol_d
.         
.         fre aptpol_d
{res}
{txt}aptpol_d
{txt}{hline 38}{hline 1}{c TT}{hline 44}
{txt}        {txt}                               {c |}      Freq.    Percent      Valid       Cum.
{txt}{hline 38}{hline 1}{c +}{hline 44}
{txt}Valid   Do not know / Refuse to answer {c |}{res}          1       1.64       4.00       4.00
{txt}        No                             {c |}{res}         15      24.59      60.00      64.00
{txt}        Yes                            {c |}{res}          9      14.75      36.00     100.00
{txt}        Total                          {c |}{res}         25      40.98     100.00           
{txt}Missing                                {c |}{res}         36      59.02                      
{txt}Total                                  {c |}{res}         61     100.00                      
{txt}{hline 38}{hline 1}{c BT}{hline 44}

{com}.         
.         lab var aptpol_d "Politician appointed by higher politician in unit"
{txt}
{com}.         replace aptpol_d = "0" if aptpol_d == "No"
{txt}(15 real changes made)

{com}.         replace aptpol_d = "1" if aptpol_d == "Yes"
{txt}(9 real changes made)

{com}.         replace aptpol_d = "-98" if aptpol_d == "Do not know / Refuse to answer"
{txt}(1 real change made)

{com}.         destring aptpol_d, replace
{txt}aptpol_d: all characters numeric; {res}replaced {txt}as {res}byte
{txt}(36 missing values generated)
{res}{txt}
{com}.         lab val aptpol_d yesno
{txt}
{com}.         
.         fre aptpol_d
{res}
{txt}aptpol_d {hline 2} Politician appointed by higher politician in unit
{txt}{hline 15}{hline 1}{c TT}{hline 44}
{txt}        {txt}        {c |}      Freq.    Percent      Valid       Cum.
{txt}{hline 15}{hline 1}{c +}{hline 44}
{txt}Valid   -98     {c |}{res}          1       1.64       4.00       4.00
{txt}        0   No  {c |}{res}         15      24.59      60.00      64.00
{txt}        1   Yes {c |}{res}          9      14.75      36.00     100.00
{txt}        Total   {c |}{res}         25      40.98     100.00           
{txt}Missing .       {c |}{res}         36      59.02                      
{txt}Total           {c |}{res}         61     100.00                      
{txt}{hline 15}{hline 1}{c BT}{hline 44}

{com}.         
.         gen test_aptpol_d = (aptpol_d != .)
{txt}
{com}.         replace test_aptpol_d = . if asked_survey == 0
{txt}(37 real changes made, 37 to missing)

{com}.         fre test_aptpol_d
{res}
{txt}test_aptpol_d
{txt}{hline 9}{hline 1}{c TT}{hline 44}
{txt}        {txt}  {c |}      Freq.    Percent      Valid       Cum.
{txt}{hline 9}{hline 1}{c +}{hline 44}
{txt}Valid   1 {c |}{res}         24      39.34     100.00     100.00
{txt}Missing . {c |}{res}         37      60.66                      
{txt}Total     {c |}{res}         61     100.00                      
{txt}{hline 9}{hline 1}{c BT}{hline 44}

{com}.         assert inlist(test_aptpol_d,.,1)
{txt}
{com}.         
.         drop test_aptpol_d
{txt}
{com}.         
.         * pol_exist_d
.         
.         gen pol_exist_d = 0
{txt}
{com}.         replace pol_exist_d = 1 if aptpol_d == 1 | elecpol_ovrsee == 1
{txt}(23 real changes made)

{com}.         replace pol_exist_d = . if asked_survey == 0
{txt}(37 real changes made, 37 to missing)

{com}.         lab val pol_exist_d yesno
{txt}
{com}.         lab var pol_exist_d "1 if we have either an appointed or elected politician"
{txt}
{com}.         
.         fre pol_exist_d
{res}
{txt}pol_exist_d {hline 2} 1 if we have either an appointed or elected politician
{txt}{hline 13}{hline 1}{c TT}{hline 44}
{txt}        {txt}      {c |}      Freq.    Percent      Valid       Cum.
{txt}{hline 13}{hline 1}{c +}{hline 44}
{txt}Valid   0 No  {c |}{res}          1       1.64       4.17       4.17
{txt}        1 Yes {c |}{res}         23      37.70      95.83     100.00
{txt}        Total {c |}{res}         24      39.34     100.00           
{txt}Missing .     {c |}{res}         37      60.66                      
{txt}Total         {c |}{res}         61     100.00                      
{txt}{hline 13}{hline 1}{c BT}{hline 44}

{com}.         order pol_exist_d, after(aptpol_d)
{txt}
{com}.         
.         * title_aptpol
.         
.         lab var title_aptpol "Title of the highest-level appointed politician in unit"
{txt}
{com}.         
.         gen test_title_aptpol = (title_aptpol != "")
{txt}
{com}.         replace test_title_aptpol = . if asked_survey == 0 
{txt}(37 real changes made, 37 to missing)

{com}.         replace test_title_aptpol = . if aptpol_d == 0 | aptpol_d == -98
{txt}(15 real changes made, 15 to missing)

{com}.         fre test_title_aptpol
{res}
{txt}test_title_aptpol
{txt}{hline 9}{hline 1}{c TT}{hline 44}
{txt}        {txt}  {c |}      Freq.    Percent      Valid       Cum.
{txt}{hline 9}{hline 1}{c +}{hline 44}
{txt}Valid   1 {c |}{res}          9      14.75     100.00     100.00
{txt}Missing . {c |}{res}         52      85.25                      
{txt}Total     {c |}{res}         61     100.00                      
{txt}{hline 9}{hline 1}{c BT}{hline 44}

{com}.         assert inlist(test_title_aptpol,.,1)
{txt}
{com}.         
.         drop test_title_aptpol
{txt}
{com}.         
.         * who_aptpol
.         
.         lab var who_aptpol "Who appoints the highest-level appointed politician in unit"
{txt}
{com}.         
.         gen test_who_aptpol = (who_aptpol != "")
{txt}
{com}.         replace test_who_aptpol = . if asked_survey == 0 
{txt}(37 real changes made, 37 to missing)

{com}.         replace test_who_aptpol = . if aptpol_d == 0 | aptpol_d == -98
{txt}(15 real changes made, 15 to missing)

{com}.         fre test_who_aptpol
{res}
{txt}test_who_aptpol
{txt}{hline 9}{hline 1}{c TT}{hline 44}
{txt}        {txt}  {c |}      Freq.    Percent      Valid       Cum.
{txt}{hline 9}{hline 1}{c +}{hline 44}
{txt}Valid   1 {c |}{res}          9      14.75     100.00     100.00
{txt}Missing . {c |}{res}         52      85.25                      
{txt}Total     {c |}{res}         61     100.00                      
{txt}{hline 9}{hline 1}{c BT}{hline 44}

{com}.         assert inlist(test_who_aptpol,.,1)
{txt}
{com}.         
.         drop test_who_aptpol
{txt}
{com}.         
.         * mostinf_servdel
.         
.         lab var mostinf_servdel "More influential in determining quality of service"
{txt}
{com}.         
.         replace mostinf_servdel = "1" if regexm(mostinf_servdel,"Elected much more")
{txt}(5 real changes made)

{com}.         replace mostinf_servdel = "2" if regexm(mostinf_servdel,"Elected slightly more")
{txt}(0 real changes made)

{com}.         replace mostinf_servdel = "3" if regexm(mostinf_servdel,"About the same")
{txt}(1 real change made)

{com}.         replace mostinf_servdel = "4" if regexm(mostinf_servdel,"Appointed slightly more")
{txt}(0 real changes made)

{com}.         replace mostinf_servdel = "5" if regexm(mostinf_servdel,"Appointed much more")
{txt}(3 real changes made)

{com}.         destring mostinf_servdel, replace
{txt}mostinf_servdel: all characters numeric; {res}replaced {txt}as {res}byte
{txt}(52 missing values generated)
{res}{txt}
{com}.         lab def mostinf_servdel 1 "Elected much more influential" 2 "Elected slightly more influential" 3 "About the same" 4 "Appointed slightly more influential" 5 "Appointed much more influential"
{txt}
{com}.         lab val mostinf_servdel mostinf_servdel
{txt}
{com}.         
.         fre mostinf_servdel
{res}
{txt}mostinf_servdel {hline 2} More influential in determining quality of service
{txt}{hline 41}{hline 1}{c TT}{hline 44}
{txt}        {txt}                                  {c |}      Freq.    Percent      Valid       Cum.
{txt}{hline 41}{hline 1}{c +}{hline 44}
{txt}Valid   1 Elected much more influential   {c |}{res}          5       8.20      55.56      55.56
{txt}        3 About the same                  {c |}{res}          1       1.64      11.11      66.67
{txt}        5 Appointed much more influential {c |}{res}          3       4.92      33.33     100.00
{txt}        Total                             {c |}{res}          9      14.75     100.00           
{txt}Missing .                                 {c |}{res}         52      85.25                      
{txt}Total                                     {c |}{res}         61     100.00                      
{txt}{hline 41}{hline 1}{c BT}{hline 44}

{com}.         
.         gen test_mostinf_servdel = (mostinf_servdel != .)
{txt}
{com}.         replace test_mostinf_servdel = . if asked_survey == 0 
{txt}(37 real changes made, 37 to missing)

{com}.         replace test_mostinf_servdel = . if (inlist(aptpol_d,0,-98) | elecpol_ovrsee == 0)
{txt}(15 real changes made, 15 to missing)

{com}.         fre test_mostinf_servdel
{res}
{txt}test_mostinf_servdel
{txt}{hline 9}{hline 1}{c TT}{hline 44}
{txt}        {txt}  {c |}      Freq.    Percent      Valid       Cum.
{txt}{hline 9}{hline 1}{c +}{hline 44}
{txt}Valid   1 {c |}{res}          9      14.75     100.00     100.00
{txt}Missing . {c |}{res}         52      85.25                      
{txt}Total     {c |}{res}         61     100.00                      
{txt}{hline 9}{hline 1}{c BT}{hline 44}

{com}.         assert inlist(test_mostinf_servdel,.,1)
{txt}
{com}.         
.         drop test_mostinf_servdel
{txt}
{com}.         
.         * educ_elecpolbur
.         
.         lab var educ_elecpolbur "More educated bureaucrat or politician (elec. politician)"
{txt}
{com}.         
.         fre educ_elecpolbur
{res}
{txt}educ_elecpolbur {hline 2} More educated bureaucrat or politician (elec. politician)
{txt}{hline 55}{hline 1}{c TT}{hline 44}
{txt}        {txt}                                                {c |}      Freq.    Percent      Valid       Cum.
{txt}{hline 55}{hline 1}{c +}{hline 44}
{txt}Valid   About the same level of education               {c |}{res}          4       6.56      17.39      17.39
{txt}        Bureaucrats much more educated than Politicians {c |}{res}         13      21.31      56.52      73.91
{txt}        Bureaucrats slightly more educated than         {c |}{res}          6       9.84      26.09     100.00
{txt}        Politicians                                     {c |}{res}                                            
{txt}        Total                                           {c |}{res}         23      37.70     100.00           
{txt}Missing                                                 {c |}{res}         38      62.30                      
{txt}Total                                                   {c |}{res}         61     100.00                      
{txt}{hline 55}{hline 1}{c BT}{hline 44}

{com}.         
.         replace educ_elecpolbur = "1" if regexm(educ_elecpolbur,"Bureaucrats much more educated")
{txt}(13 real changes made)

{com}.         replace educ_elecpolbur = "2" if regexm(educ_elecpolbur,"Bureaucrats slightly more educated")
{txt}(6 real changes made)

{com}.         replace educ_elecpolbur = "3" if regexm(educ_elecpolbur,"About the same")
{txt}(4 real changes made)

{com}.         replace educ_elecpolbur = "4" if regexm(educ_elecpolbur,"Politicians slightly more educated")
{txt}(0 real changes made)

{com}.         replace educ_elecpolbur = "5" if regexm(educ_elecpolbur,"Politicians much more educated")
{txt}(0 real changes made)

{com}.         destring educ_elecpolbur, replace
{txt}educ_elecpolbur: all characters numeric; {res}replaced {txt}as {res}byte
{txt}(38 missing values generated)
{res}{txt}
{com}.         lab def educ_elecpolbur 1 "Bureaucrats much more educated" 2 "Bureaucrats slightly more educated" 3 "About the same" 4 "Politicians slightly more educated" 5 "Politicians much more educated"
{txt}
{com}.         lab val educ_elecpolbur educ_elecpolbur
{txt}
{com}.         
.         fre educ_elecpolbur
{res}
{txt}educ_elecpolbur {hline 2} More educated bureaucrat or politician (elec. politician)
{txt}{hline 44}{hline 1}{c TT}{hline 44}
{txt}        {txt}                                     {c |}      Freq.    Percent      Valid       Cum.
{txt}{hline 44}{hline 1}{c +}{hline 44}
{txt}Valid   1 Bureaucrats much more educated     {c |}{res}         13      21.31      56.52      56.52
{txt}        2 Bureaucrats slightly more educated {c |}{res}          6       9.84      26.09      82.61
{txt}        3 About the same                     {c |}{res}          4       6.56      17.39     100.00
{txt}        Total                                {c |}{res}         23      37.70     100.00           
{txt}Missing .                                    {c |}{res}         38      62.30                      
{txt}Total                                        {c |}{res}         61     100.00                      
{txt}{hline 44}{hline 1}{c BT}{hline 44}

{com}.         
.         gen test_educ_elecpolbur = (educ_elecpolbur != .)
{txt}
{com}.         replace test_educ_elecpolbur = . if asked_survey == 0 
{txt}(37 real changes made, 37 to missing)

{com}.         replace test_educ_elecpolbur = . if elecpol_ovrsee == 0
{txt}(1 real change made, 1 to missing)

{com}.         fre test_educ_elecpolbur
{res}
{txt}test_educ_elecpolbur
{txt}{hline 9}{hline 1}{c TT}{hline 44}
{txt}        {txt}  {c |}      Freq.    Percent      Valid       Cum.
{txt}{hline 9}{hline 1}{c +}{hline 44}
{txt}Valid   1 {c |}{res}         23      37.70     100.00     100.00
{txt}Missing . {c |}{res}         38      62.30                      
{txt}Total     {c |}{res}         61     100.00                      
{txt}{hline 9}{hline 1}{c BT}{hline 44}

{com}.         assert inlist(test_educ_elecpolbur,.,1)
{txt}
{com}.         
.         drop test_educ_elecpolbur
{txt}
{com}.         
.         * educ_apolbur
.         
.         lab var educ_apolbur "More educated bureaucrat or politician (app. politician) "
{txt}
{com}.         
.         fre educ_apolbur
{res}
{txt}educ_apolbur {hline 2} More educated bureaucrat or politician (app. politician) 
{txt}{hline 8}{hline 1}{c TT}{hline 44}
{txt}        {txt} {c |}      Freq.    Percent      Valid       Cum.
{txt}{hline 8}{hline 1}{c +}{hline 44}
{txt}Missing  {c |}{res}         61     100.00                      
{txt}{hline 8}{hline 1}{c BT}{hline 44}

{com}.         
.         replace educ_apolbur = "1" if regexm(educ_apolbur,"Bureaucrats much more educated")
{txt}(0 real changes made)

{com}.         replace educ_apolbur = "2" if regexm(educ_apolbur,"Bureaucrats slightly more educated")
{txt}(0 real changes made)

{com}.         replace educ_apolbur = "3" if regexm(educ_apolbur,"About the same")
{txt}(0 real changes made)

{com}.         replace educ_apolbur = "4" if regexm(educ_apolbur,"Politicians slightly more educated")
{txt}(0 real changes made)

{com}.         replace educ_apolbur = "5" if regexm(educ_apolbur,"Politicians much more educated")
{txt}(0 real changes made)

{com}.         destring educ_apolbur, replace
{txt}educ_apolbur: all characters numeric; {res}replaced {txt}as {res}byte
{txt}(61 missing values generated)
{res}{txt}
{com}.         lab def educ_apolbur 1 "Bureaucrats much more educated" 2 "Bureaucrats slightly more educated" 3 "About the same" 4 "Politicians slightly more educated" 5 "Politicians much more educated"
{txt}
{com}.         lab val educ_apolbur educ_apolbur
{txt}
{com}.         
.         fre educ_apolbur
{res}
{txt}educ_apolbur {hline 2} More educated bureaucrat or politician (app. politician) 
{txt}{hline 13}{hline 1}{c TT}{hline 44}
{txt}        {txt}      {c |}      Freq.    Percent      Valid       Cum.
{txt}{hline 13}{hline 1}{c +}{hline 44}
{txt}Missing .     {c |}{res}         61     100.00                      
{txt}{hline 13}{hline 1}{c BT}{hline 44}

{com}.         
.         gen test_educ_apolbur = (educ_apolbur != .)
{txt}
{com}.         replace test_educ_apolbur = . if asked_survey == 0
{txt}(37 real changes made, 37 to missing)

{com}.         replace test_educ_apolbur = . if aptpol_d == 0
{txt}(14 real changes made, 14 to missing)

{com}.         replace test_educ_apolbur = . if elecpol_ovrsee == 1 
{txt}(10 real changes made, 10 to missing)

{com}.         fre test_educ_apolbur
{res}
{txt}test_educ_apolbur
{txt}{hline 9}{hline 1}{c TT}{hline 44}
{txt}        {txt}  {c |}      Freq.    Percent      Valid       Cum.
{txt}{hline 9}{hline 1}{c +}{hline 44}
{txt}Missing . {c |}{res}         61     100.00                      
{txt}{hline 9}{hline 1}{c BT}{hline 44}

{com}.         assert inlist(test_educ_apolbur,.,1)
{txt}
{com}.         
.         drop test_educ_apolbur
{txt}
{com}.         
.         * slry_elecpolbur
.         
.         lab var slry_elecpolbur "Earning more bureaucrat or politician (elec. politician)"
{txt}
{com}.         
.         fre slry_elecpolbur
{res}
{txt}slry_elecpolbur {hline 2} Earning more bureaucrat or politician (elec. politician)
{txt}{hline 55}{hline 1}{c TT}{hline 44}
{txt}        {txt}                                                {c |}      Freq.    Percent      Valid       Cum.
{txt}{hline 55}{hline 1}{c +}{hline 44}
{txt}Valid   Both earn about the same                        {c |}{res}          4       6.56      17.39      17.39
{txt}        Bureaucrats earn much more than Politicians     {c |}{res}          5       8.20      21.74      39.13
{txt}        Bureaucrats earn slightly more than Politicians {c |}{res}          3       4.92      13.04      52.17
{txt}        Politicians earn much more than Bureaucrats     {c |}{res}          6       9.84      26.09      78.26
{txt}        Politicians earn slightly more than Bureaucrats {c |}{res}          5       8.20      21.74     100.00
{txt}        Total                                           {c |}{res}         23      37.70     100.00           
{txt}Missing                                                 {c |}{res}         38      62.30                      
{txt}Total                                                   {c |}{res}         61     100.00                      
{txt}{hline 55}{hline 1}{c BT}{hline 44}

{com}.         
.         replace slry_elecpolbur = "1" if regexm(slry_elecpolbur,"Bureaucrats earn much")
{txt}(5 real changes made)

{com}.         replace slry_elecpolbur = "2" if regexm(slry_elecpolbur,"Bureaucrats earn slightly")
{txt}(3 real changes made)

{com}.         replace slry_elecpolbur = "3" if regexm(slry_elecpolbur,"Both earn")
{txt}(4 real changes made)

{com}.         replace slry_elecpolbur = "4" if regexm(slry_elecpolbur,"Politicians earn slightly")
{txt}(5 real changes made)

{com}.         replace slry_elecpolbur = "5" if regexm(slry_elecpolbur,"Politicians earn much")
{txt}(6 real changes made)

{com}.         destring slry_elecpolbur, replace
{txt}slry_elecpolbur: all characters numeric; {res}replaced {txt}as {res}byte
{txt}(38 missing values generated)
{res}{txt}
{com}.         lab def slry_elecpolbur 1 "Bureaucrats earn much more" 2 "Bureaucrats earn slightly more" 3 "Both earn the same" 4 "Politicians earn slightly" 5 "Politicians earn much more"
{txt}
{com}.         lab val slry_elecpolbur slry_elecpolbur
{txt}
{com}.         
.         fre slry_elecpolbur
{res}
{txt}slry_elecpolbur {hline 2} Earning more bureaucrat or politician (elec. politician)
{txt}{hline 40}{hline 1}{c TT}{hline 44}
{txt}        {txt}                                 {c |}      Freq.    Percent      Valid       Cum.
{txt}{hline 40}{hline 1}{c +}{hline 44}
{txt}Valid   1 Bureaucrats earn much more     {c |}{res}          5       8.20      21.74      21.74
{txt}        2 Bureaucrats earn slightly more {c |}{res}          3       4.92      13.04      34.78
{txt}        3 Both earn the same             {c |}{res}          4       6.56      17.39      52.17
{txt}        4 Politicians earn slightly      {c |}{res}          5       8.20      21.74      73.91
{txt}        5 Politicians earn much more     {c |}{res}          6       9.84      26.09     100.00
{txt}        Total                            {c |}{res}         23      37.70     100.00           
{txt}Missing .                                {c |}{res}         38      62.30                      
{txt}Total                                    {c |}{res}         61     100.00                      
{txt}{hline 40}{hline 1}{c BT}{hline 44}

{com}.         
.         gen test_slry_elecpolbur = (slry_elecpolbur != .)
{txt}
{com}.         replace test_slry_elecpolbur = . if asked_survey == 0 
{txt}(37 real changes made, 37 to missing)

{com}.         replace test_slry_elecpolbur = . if elecpol_ovrsee == 0
{txt}(1 real change made, 1 to missing)

{com}.         fre test_slry_elecpolbur
{res}
{txt}test_slry_elecpolbur
{txt}{hline 9}{hline 1}{c TT}{hline 44}
{txt}        {txt}  {c |}      Freq.    Percent      Valid       Cum.
{txt}{hline 9}{hline 1}{c +}{hline 44}
{txt}Valid   1 {c |}{res}         23      37.70     100.00     100.00
{txt}Missing . {c |}{res}         38      62.30                      
{txt}Total     {c |}{res}         61     100.00                      
{txt}{hline 9}{hline 1}{c BT}{hline 44}

{com}.         assert inlist(test_slry_elecpolbur,.,1)
{txt}
{com}.         
.         drop test_slry_elecpolbur
{txt}
{com}.         
.         * slry_apolbur
.         
.         lab var slry_apolbur "Earning more bureaucrat or politician (app. politician)"
{txt}
{com}.         
.         fre slry_apolbur
{res}
{txt}slry_apolbur {hline 2} Earning more bureaucrat or politician (app. politician)
{txt}{hline 8}{hline 1}{c TT}{hline 44}
{txt}        {txt} {c |}      Freq.    Percent      Valid       Cum.
{txt}{hline 8}{hline 1}{c +}{hline 44}
{txt}Missing  {c |}{res}         61     100.00                      
{txt}{hline 8}{hline 1}{c BT}{hline 44}

{com}.         
.         replace slry_apolbur = "1" if regexm(slry_apolbur,"Bureaucrats earn much")
{txt}(0 real changes made)

{com}.         replace slry_apolbur = "2" if regexm(slry_apolbur,"Bureaucrats earn slightly")
{txt}(0 real changes made)

{com}.         replace slry_apolbur = "3" if regexm(slry_apolbur,"Both earn")
{txt}(0 real changes made)

{com}.         replace slry_apolbur = "4" if regexm(slry_apolbur,"Politicians earn slightly")
{txt}(0 real changes made)

{com}.         replace slry_apolbur = "5" if regexm(slry_apolbur,"Politicians earn much")
{txt}(0 real changes made)

{com}.         destring slry_apolbur, replace
{txt}slry_apolbur: all characters numeric; {res}replaced {txt}as {res}byte
{txt}(61 missing values generated)
{res}{txt}
{com}.         lab def slry_apolbur 1 "Bureaucrats earn much more" 2 "Bureaucrats earn slightly more" 3 "Both earn the same" 4 "Politicians earn slightly" 5 "Politicians earn much more"
{txt}
{com}.         lab val slry_apolbur slry_apolbur
{txt}
{com}.         
.         fre slry_apolbur
{res}
{txt}slry_apolbur {hline 2} Earning more bureaucrat or politician (app. politician)
{txt}{hline 13}{hline 1}{c TT}{hline 44}
{txt}        {txt}      {c |}      Freq.    Percent      Valid       Cum.
{txt}{hline 13}{hline 1}{c +}{hline 44}
{txt}Missing .     {c |}{res}         61     100.00                      
{txt}{hline 13}{hline 1}{c BT}{hline 44}

{com}.         
.         gen test_slry_apolbur = (slry_apolbur != .)
{txt}
{com}.         replace test_slry_apolbur = . if asked_survey == 0
{txt}(37 real changes made, 37 to missing)

{com}.         replace test_slry_apolbur = . if aptpol_d == 0
{txt}(14 real changes made, 14 to missing)

{com}.         replace test_slry_apolbur = . if elecpol_ovrsee == 1 
{txt}(10 real changes made, 10 to missing)

{com}.         fre test_slry_apolbur
{res}
{txt}test_slry_apolbur
{txt}{hline 9}{hline 1}{c TT}{hline 44}
{txt}        {txt}  {c |}      Freq.    Percent      Valid       Cum.
{txt}{hline 9}{hline 1}{c +}{hline 44}
{txt}Missing . {c |}{res}         61     100.00                      
{txt}{hline 9}{hline 1}{c BT}{hline 44}

{com}.         assert inlist(test_slry_apolbur,.,1)
{txt}
{com}.         
.         drop test_slry_apolbur
{txt}
{com}.         
.         * We merge the payment module
.         
.         merge m:1 responseid using "`payment_module'"
{res}
{txt}{col 5}Result{col 38}# of obs.
{col 5}{hline 41}
{col 5}not matched{col 30}{res}               0
{txt}{col 5}matched{col 30}{res}              61{txt}  (_merge==3)
{col 5}{hline 41}

{com}.         drop _merge
{txt}
{com}.         order donate_d org_donation_id paid_status, after(duration_minutes)
{txt}
{com}.         
.         * fdout_epol_bgt
.         
.         lab var fdout_epol_bgt "Easy to find out about envelop (elec. politician)"
{txt}
{com}.         
.         fre fdout_epol_bgt
{res}
{txt}fdout_epol_bgt {hline 2} Easy to find out about envelop (elec. politician)
{txt}{hline 26}{hline 1}{c TT}{hline 44}
{txt}        {txt}                   {c |}      Freq.    Percent      Valid       Cum.
{txt}{hline 26}{hline 1}{c +}{hline 44}
{txt}Valid   Somewhat difficult {c |}{res}          3       4.92      13.04      13.04
{txt}        Somewhat easy      {c |}{res}          6       9.84      26.09      39.13
{txt}        Very easy          {c |}{res}         14      22.95      60.87     100.00
{txt}        Total              {c |}{res}         23      37.70     100.00           
{txt}Missing                    {c |}{res}         38      62.30                      
{txt}Total                      {c |}{res}         61     100.00                      
{txt}{hline 26}{hline 1}{c BT}{hline 44}

{com}.         
.         replace fdout_epol_bgt = "1" if regexm(fdout_epol_bgt,"Very easy")
{txt}(14 real changes made)

{com}.         replace fdout_epol_bgt = "2" if regexm(fdout_epol_bgt,"Somewhat easy")
{txt}(6 real changes made)

{com}.         replace fdout_epol_bgt = "3" if regexm(fdout_epol_bgt,"Somewhat difficult")
{txt}(3 real changes made)

{com}.         replace fdout_epol_bgt = "4" if regexm(fdout_epol_bgt,"Very difficult")
{txt}(0 real changes made)

{com}.         replace fdout_epol_bgt = "5" if regexm(fdout_epol_bgt,"Not applicable")
{txt}(0 real changes made)

{com}.         replace fdout_epol_bgt = "6" if regexm(fdout_epol_bgt,"Do not know")
{txt}(0 real changes made)

{com}.         
.         destring fdout_epol_bgt, replace
{txt}fdout_epol_bgt: all characters numeric; {res}replaced {txt}as {res}byte
{txt}(38 missing values generated)
{res}{txt}
{com}.         lab def fdout_epol_bgt 1 "Very easy" 2 "Somewhat easy" 3 "Somewhat difficult" 4 "Very difficult" 5 "Not applicable, this level of government has no spending power" 6 "Do not know / Refuse to answer"
{txt}
{com}.         lab val fdout_epol_bgt fdout_epol_bgt
{txt}
{com}.         
.         fre fdout_epol_bgt
{res}
{txt}fdout_epol_bgt {hline 2} Easy to find out about envelop (elec. politician)
{txt}{hline 28}{hline 1}{c TT}{hline 44}
{txt}        {txt}                     {c |}      Freq.    Percent      Valid       Cum.
{txt}{hline 28}{hline 1}{c +}{hline 44}
{txt}Valid   1 Very easy          {c |}{res}         14      22.95      60.87      60.87
{txt}        2 Somewhat easy      {c |}{res}          6       9.84      26.09      86.96
{txt}        3 Somewhat difficult {c |}{res}          3       4.92      13.04     100.00
{txt}        Total                {c |}{res}         23      37.70     100.00           
{txt}Missing .                    {c |}{res}         38      62.30                      
{txt}Total                        {c |}{res}         61     100.00                      
{txt}{hline 28}{hline 1}{c BT}{hline 44}

{com}.         
.         gen test_fdout_epol_bgt = (fdout_epol_bgt != .)
{txt}
{com}.         replace test_fdout_epol_bgt = . if asked_survey == 0 
{txt}(37 real changes made, 37 to missing)

{com}.         replace test_fdout_epol_bgt = . if elecpol_ovrsee == 0
{txt}(1 real change made, 1 to missing)

{com}.         fre test_fdout_epol_bgt
{res}
{txt}test_fdout_epol_bgt
{txt}{hline 9}{hline 1}{c TT}{hline 44}
{txt}        {txt}  {c |}      Freq.    Percent      Valid       Cum.
{txt}{hline 9}{hline 1}{c +}{hline 44}
{txt}Valid   1 {c |}{res}         23      37.70     100.00     100.00
{txt}Missing . {c |}{res}         38      62.30                      
{txt}Total     {c |}{res}         61     100.00                      
{txt}{hline 9}{hline 1}{c BT}{hline 44}

{com}.         assert inlist(test_fdout_epol_bgt,.,1)
{txt}
{com}.         
.         drop test_fdout_epol_bgt
{txt}
{com}.         
.         
.         e

{txt}end of do-file


{com}. do "/var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//SD44938.000000"
{txt}
{com}. 
.         * Purpose: Importing data to run HFC
.         
.         * Setting up globals
.         
.         if "`c(username)'" == "fredericcochinard" {c -(}
.                 
.                 global import_folder "/Users/fredericcochinard/Dropbox/Expert survey/Data/0.survey_dataset/0.import"
.                 global output "/Users/fredericcochinard/Dropbox/Expert survey/Data/0.survey_dataset/1.output"
.                 
.                 {c )-}
{txt}
{com}.                 
.         if "`c(username)'" == "" {c -(}
.         
.                 
.                 {c )-}
{txt}
{com}.         
.         * Looking for renaming folder with problem
.         
.         local myfiles: dir "$import_folder" files "*.xlsx"
{txt}
{com}. 
.         foreach file of local myfiles {c -(}
{txt}  2{com}.                 
.                 local subfile = substr("`file'", 1, .)
{txt}  3{com}.                 local subfile : subinstr local subfile " " "_", all
{txt}  4{com}.                 ! mv "${c -(}import_folder{c )-}/`file'" "${c -(}import_folder{c )-}/`subfile'"
{txt}  5{com}.                 
.                 {c )-}
{txt}

{com}.         
.         * Looking for dataset
.         
.         filelist , dir("$import_folder") pat("*.xlsx")
{res}{txt}Number of files found = {res}1
{txt}
{com}.         
.         gen url = filename
{txt}
{com}.         
.         levelsof url
{txt}`"Expert_survey_February_18,_2025_16.23.xlsx"'

{com}. 
.         local lvlfiles `r(levels)'
{txt}
{com}.         
.         local z = 0
{txt}
{com}.         
.         foreach lvl of local lvlfiles {c -(}
{txt}  2{com}.         
.                 local z = `z' + 1
{txt}  3{com}.                 
.                 local temp : subinstr local lvl `"""' "", all
{txt}  4{com}.                 local url : subinstr local temp "'" "", all
{txt}  5{com}.         
.                 import excel "${c -(}import_folder{c )-}/`url'", first case(lower) clear
{txt}  6{com}.                 
.                 gen num = _n
{txt}  7{com}.                 drop if num == 1
{txt}  8{com}.                 
.                 * Preparing the append
.                 
.                 tempfile data`z'
{txt}  9{com}.                 sa "`data`z''"
{txt} 10{com}.                 
.                 {c )-}
{res}{txt}(1 observation deleted)
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.000001 saved

{com}.                 
.         * We append the dataset to start cleaning
.         
.         use "`data1'", clear
{txt}
{com}.         
.         forvalues x = 2/`z' {c -(}
{txt}  2{com}.         
.                 append using "`data`x''"
{txt}  3{com}.                 
.                 {c )-}
{txt}
{com}.                 
.         duplicates drop

{p 0 4}{txt}Duplicates in terms of {txt} all variables{p_end}

(0 observations are duplicates)

{com}.         
.         * We keep relevant variable
.         drop if recipientemail == "frederic.cochinard@gmail.com"
{txt}(8 observations deleted)

{com}.         drop if recipientemail == "vedpant+spanish@college.harvard.edu"
{txt}(1 observation deleted)

{com}.         drop if recipientemail == "frederic.cochinard+3@gmail.com"
{txt}(1 observation deleted)

{com}.         drop if recipientemail == "frederic.cochinard+1@gmail.com"
{txt}(1 observation deleted)

{com}.         
.         * We remove observation that are not finished
.         drop if finished == "False"
{txt}(9 observations deleted)

{com}.         
.         * We create a save
.         
.         tempfile save_data
{txt}
{com}.         sa "`save_data'"
{txt}file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.000002 saved

{com}.         
.         ******************
.         * Payment module *
.         ******************
.         
.         preserve
{txt}
{com}.         
.         keep responseid method_pay_bank_in_q-q977
{txt}
{com}.         compress
  {txt}variable {bf}method_pay_bank_in_q{sf} was {bf}{res}str237{sf}{txt} now {bf}{res}str24{sf}
  {txt}variable {bf}expert_donation_org{sf} was {bf}{res}str129{sf}{txt} now {bf}{res}str23{sf}
  {txt}variable {bf}q967{sf} was {bf}{res}str236{sf}{txt} now {bf}{res}str65{sf}
  {txt}variable {bf}q978{sf} was {bf}{res}str326{sf}{txt} now {bf}{res}str16{sf}
  {txt}variable {bf}q979{sf} was {bf}{res}str104{sf}{txt} now {bf}{res}str39{sf}
  {txt}variable {bf}q980{sf} was {bf}{res}str95{sf}{txt} now {bf}{res}str11{sf}
  {txt}variable {bf}q987{sf} was {bf}{res}str170{sf}{txt} now {bf}{res}str24{sf}
  {txt}variable {bf}q984{sf} was {bf}{res}str326{sf}{txt} now {bf}{res}str1{sf}
  {txt}variable {bf}q985{sf} was {bf}{res}str104{sf}{txt} now {bf}{res}str1{sf}
  {txt}variable {bf}q986{sf} was {bf}{res}str95{sf}{txt} now {bf}{res}str1{sf}
  {txt}variable {bf}q988{sf} was {bf}{res}str170{sf}{txt} now {bf}{res}str1{sf}
  {txt}variable {bf}q989{sf} was {bf}{res}str559{sf}{txt} now {bf}{res}str1{sf}
  {txt}variable {bf}q990{sf} was {bf}{res}str102{sf}{txt} now {bf}{res}str1{sf}
  {txt}variable {bf}q991{sf} was {bf}{res}str93{sf}{txt} now {bf}{res}str1{sf}
  {txt}variable {bf}q992{sf} was {bf}{res}str170{sf}{txt} now {bf}{res}str1{sf}
  {txt}variable {bf}q998{sf} was {bf}{res}str537{sf}{txt} now {bf}{res}str1{sf}
  {txt}variable {bf}q997{sf} was {bf}{res}str105{sf}{txt} now {bf}{res}str1{sf}
  {txt}variable {bf}q999{sf} was {bf}{res}str104{sf}{txt} now {bf}{res}str1{sf}
  {txt}variable {bf}q1000{sf} was {bf}{res}str95{sf}{txt} now {bf}{res}str1{sf}
  {txt}variable {bf}q1001{sf} was {bf}{res}str170{sf}{txt} now {bf}{res}str1{sf}
  {txt}variable {bf}q977{sf} was {bf}{res}str502{sf}{txt} now {bf}{res}str23{sf}
{txt}  (46,101 bytes saved)

{com}.         
.         * Donate_d
.         
.         gen donate_d = 0
{txt}
{com}.         replace donate_d = 1 if method_pay_bank_in_q == "I prefer to donate"
{txt}(3 real changes made)

{com}.         
.         * Special case
.         replace donate_d = 1 if responseid == "R_4ouc7tR6BFj3gpb" // respondent is refusing to take money in comments
{txt}(1 real change made)

{com}.         replace donate_d = 1 if responseid == "R_4Iow7YzsoT2KTOx" // respondent is writing cancel in comments
{txt}(1 real change made)

{com}.         
.         lab var donate_d "Respondent decided to donate"
{txt}
{com}.         lab def donate_d 0 "No" 1 "Yes"
{txt}
{com}.         lab val donate_d donate_d
{txt}
{com}.         order donate_d, after(responseid)
{txt}
{com}.         
.         * Org
.         
.         gen org_donation_id = "" 
{txt}(11 missing values generated)

{com}.         replace org_donation_id = expert_donation_org if donate_d == 1
{txt}variable {bf}org_donation_id{sf} was {bf}{res}str1{sf}{txt} now {bf}{res}str23{sf}
{txt}(3 real changes made)

{com}.         replace org_donation_id = "No choice" if donate_d == 1 & org_donation_id == ""
{txt}(2 real changes made)

{com}.         lab var org_donation_id "Name of the organization the respondent chose to donate"
{txt}
{com}.         order org_donation_id, after(donate_d)
{txt}
{com}.         
.         * Paid status
.         
.         gen paid_status = 0
{txt}
{com}.         replace paid_status = 2 if donate_d == 1
{txt}(5 real changes made)

{com}.         
.         * Case of payment
.         
.         lab var paid_status "Status of payment of the respondent"
{txt}
{com}.         lab def paid_status 0 "Not yet" 1 "Yes" 2 "Donation"
{txt}
{com}.         lab val paid_status paid_status
{txt}
{com}.         order paid_status, after(org_donation_id)
{txt}
{com}.         
.         keep responseid donate_d org_donation_id paid_status
{txt}
{com}.         
.         tempfile payment_module
{txt}
{com}.         sa "`payment_module'"
{txt}file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.000004 saved

{com}.         
.         restore
{txt}
{com}.         
.         * Main form of survey 
.         keep country full_name recipientemail responseid progress durationinseconds finished userlanguage num_unit confirmation_* ///
>         title_bur* elecpol_ovrsee* title_elecpol* aptpol_d* title_aptpol* who_aptpol* mostinf_servdel* educ_elecpolbur* ///
>         educ_apolbur* slry_elecpolbur* slry_apolbur* fdout_epol_bgt* fdout_apol_bgt* budsect_epol* budsect_apol* acinfexp_epol* /// 
>         acinfexp_apol* understand_epol* understand_apol* acttake_epol* acttake_epol* acttake_apol* acttake_apol* likely* why_likchan* /// 
>         who_apt_bur* who_apt_bur* who_fir_bur* who_fir_bur* ocap_epol* ocap_apol* prio_epol* prio_apol* overall_conf* avg_educ_epol* ///
>         avg_educ_apol* avg_educ_buro* avg_slry_epol* avg_slry_apol* avg_slry_buro* //
{txt}
{com}.         
.         destring durationinseconds progress, replace
{txt}durationinseconds: all characters numeric; {res}replaced {txt}as {res}int
{txt}progress: all characters numeric; {res}replaced {txt}as {res}byte
{txt}
{com}.         replace durationinseconds = round(durationinseconds/60)
{txt}(11 real changes made)

{com}.         ren durationinseconds duration_minutes
{res}{txt}
{com}. 
.         *--
.         
.         local id country full_name recipientemail responseid userlanguage num_unit finished progress duration_minutes
{txt}
{com}.         
.         order `id', first
{txt}
{com}.         duplicates drop `id', force

{p 0 4}{txt}Duplicates in terms of {res} country full_name recipientemail responseid userlanguage num_unit finished progress duration_minutes{p_end}

{txt}(0 observations are duplicates)

{com}.         
.         * Renaming others
.         
.         forvalues x = 1/3 {c -(}
{txt}  2{com}.                 
.                 forvalues y = 1/6 {c -(} 
{txt}  3{com}.                 
.                         cap ren who_apt_bur_`x'_`y'_8_text who_apt_buroth_`x'_`y'
{txt}  4{com}.                         cap ren who_fir_bur_`x'_`y'_8_text who_fir_buroth_`x'_`y'
{txt}  5{com}.                         cap ren acttake_epol_`x'_`y'_9_text acttake_epoloth_`x'_`y'
{txt}  6{com}.                         cap ren acttake_apol_`x'_`y'_9_text acttake_apoloth_`x'_`y'
{txt}  7{com}.                         
.                         {c )-}
{txt}  8{com}.                         
.                 {c )-}
{txt}
{com}.         
.         #delimit ;
{txt}delimiter now ;
{com}.         local var confirmation
>         title_bur 
>         elecpol_ovrsee
>         title_elecpol
>         aptpol_d
>         title_aptpol
>         who_aptpol
>         mostinf_servdel
>         educ_elecpolbur
>         educ_apolbur
>         slry_elecpolbur
>         slry_apolbur
>         fdout_epol_bgt
>         fdout_apol_bgt
>         budsect_epol
>         budsect_apol
>         acinfexp_epol
>         acinfexp_apol
>         understand_epol
>         understand_apol
>         acttake_epol
>         acttake_epoloth
>         acttake_apol
>         acttake_apoloth
>         likely
>         why_likchan
>         who_apt_bur
>         who_apt_buroth
>         who_fir_bur
>         who_fir_buroth
>         ocap_epol
>         ocap_apol
>         prio_epol
>         prio_apol
>         overall_conf
>         avg_educ_epol
>         avg_educ_apol
>         avg_educ_buro
>         avg_slry_epol
>         avg_slry_apol
>         avg_slry_buro
>         
>         ;
{txt}
{com}.                 #delimit cr
{txt}delimiter now cr
{com}. 
.         reshape long `var', i(`id') j(pos) s
{txt}(note: j = _1_1 _1_4 _1_5 _1_6 _2_1 _2_2 _2_4 _2_5 _2_6 _3_1 _3_2 _3_3 _3_4 _3_5 _3_6)
(note: confirmation_1_4 not found)
(note: confirmation_1_5 not found)
(note: confirmation_1_6 not found)
(note: confirmation_2_4 not found)
(note: confirmation_2_5 not found)
(note: confirmation_2_6 not found)
(note: confirmation_3_4 not found)
(note: confirmation_3_5 not found)
(note: confirmation_3_6 not found)

Data{col 36}wide{col 43}->{col 48}long
{hline 77}
Number of obs.                 {res}      11   {txt}->{res}     165
{txt}Number of variables            {res}     615   {txt}->{res}      51
{txt}j variable (15 values)                    ->   {res}pos
{txt}xij variables:
{res}confirmation_1_1 confirmation_1_4 ... confirmation_3_6{txt}->{res}confirmation
title_bur_1_1 title_bur_1_4 ... title_bur_3_6{txt}->{res}title_bur
elecpol_ovrsee_1_1 elecpol_ovrsee_1_4 ... elecpol_ovrsee_3_6{txt}->{res}elecpol_ovrsee
title_elecpol_1_1 title_elecpol_1_4 ... title_elecpol_3_6{txt}->{res}title_elecpol
aptpol_d_1_1 aptpol_d_1_4 ... aptpol_d_3_6{txt}->   {res}aptpol_d
title_aptpol_1_1 title_aptpol_1_4 ... title_aptpol_3_6{txt}->{res}title_aptpol
who_aptpol_1_1 who_aptpol_1_4 ... who_aptpol_3_6{txt}->{res}who_aptpol
mostinf_servdel_1_1 mostinf_servdel_1_4 ... mostinf_servdel_3_6{txt}->{res}mostinf_servdel
educ_elecpolbur_1_1 educ_elecpolbur_1_4 ... educ_elecpolbur_3_6{txt}->{res}educ_elecpolbur
educ_apolbur_1_1 educ_apolbur_1_4 ... educ_apolbur_3_6{txt}->{res}educ_apolbur
slry_elecpolbur_1_1 slry_elecpolbur_1_4 ... slry_elecpolbur_3_6{txt}->{res}slry_elecpolbur
slry_apolbur_1_1 slry_apolbur_1_4 ... slry_apolbur_3_6{txt}->{res}slry_apolbur
fdout_epol_bgt_1_1 fdout_epol_bgt_1_4 ... fdout_epol_bgt_3_6{txt}->{res}fdout_epol_bgt
fdout_apol_bgt_1_1 fdout_apol_bgt_1_4 ... fdout_apol_bgt_3_6{txt}->{res}fdout_apol_bgt
budsect_epol_1_1 budsect_epol_1_4 ... budsect_epol_3_6{txt}->{res}budsect_epol
budsect_apol_1_1 budsect_apol_1_4 ... budsect_apol_3_6{txt}->{res}budsect_apol
acinfexp_epol_1_1 acinfexp_epol_1_4 ... acinfexp_epol_3_6{txt}->{res}acinfexp_epol
acinfexp_apol_1_1 acinfexp_apol_1_4 ... acinfexp_apol_3_6{txt}->{res}acinfexp_apol
understand_epol_1_1 understand_epol_1_4 ... understand_epol_3_6{txt}->{res}understand_epol
understand_apol_1_1 understand_apol_1_4 ... understand_apol_3_6{txt}->{res}understand_apol
acttake_epol_1_1 acttake_epol_1_4 ... acttake_epol_3_6{txt}->{res}acttake_epol
acttake_epoloth_1_1 acttake_epoloth_1_4 ... acttake_epoloth_3_6{txt}->{res}acttake_epoloth
acttake_apol_1_1 acttake_apol_1_4 ... acttake_apol_3_6{txt}->{res}acttake_apol
acttake_apoloth_1_1 acttake_apoloth_1_4 ... acttake_apoloth_3_6{txt}->{res}acttake_apoloth
   likely_1_1 likely_1_4 ... likely_3_6   {txt}->   {res}likely
why_likchan_1_1 why_likchan_1_4 ... why_likchan_3_6{txt}->{res}why_likchan
who_apt_bur_1_1 who_apt_bur_1_4 ... who_apt_bur_3_6{txt}->{res}who_apt_bur
who_apt_buroth_1_1 who_apt_buroth_1_4 ... who_apt_buroth_3_6{txt}->{res}who_apt_buroth
who_fir_bur_1_1 who_fir_bur_1_4 ... who_fir_bur_3_6{txt}->{res}who_fir_bur
who_fir_buroth_1_1 who_fir_buroth_1_4 ... who_fir_buroth_3_6{txt}->{res}who_fir_buroth
ocap_epol_1_1 ocap_epol_1_4 ... ocap_epol_3_6{txt}->{res}ocap_epol
ocap_apol_1_1 ocap_apol_1_4 ... ocap_apol_3_6{txt}->{res}ocap_apol
prio_epol_1_1 prio_epol_1_4 ... prio_epol_3_6{txt}->{res}prio_epol
prio_apol_1_1 prio_apol_1_4 ... prio_apol_3_6{txt}->{res}prio_apol
overall_conf_1_1 overall_conf_1_4 ... overall_conf_3_6{txt}->{res}overall_conf
avg_educ_epol_1_1 avg_educ_epol_1_4 ... avg_educ_epol_3_6{txt}->{res}avg_educ_epol
avg_educ_apol_1_1 avg_educ_apol_1_4 ... avg_educ_apol_3_6{txt}->{res}avg_educ_apol
avg_educ_buro_1_1 avg_educ_buro_1_4 ... avg_educ_buro_3_6{txt}->{res}avg_educ_buro
avg_slry_epol_1_1 avg_slry_epol_1_4 ... avg_slry_epol_3_6{txt}->{res}avg_slry_epol
avg_slry_apol_1_1 avg_slry_apol_1_4 ... avg_slry_apol_3_6{txt}->{res}avg_slry_apol
avg_slry_buro_1_1 avg_slry_buro_1_4 ... avg_slry_buro_3_6{txt}->{res}avg_slry_buro
{txt}{hline 77}

{com}.         
.         * Filter data
.         
.         split pos, p("_")
{res}variables created as string: 
{txt}{col 1}pos1{col 7}pos2{col 13}pos3

{com}.         
.         drop pos1
{txt}
{com}.         ren pos2 case_n_unit
{res}{txt}
{com}.         ren pos3 unit_num
{res}{txt}
{com}.         destring case_n_unit unit_num, replace
{txt}case_n_unit: all characters numeric; {res}replaced {txt}as {res}byte
{txt}unit_num: all characters numeric; {res}replaced {txt}as {res}byte
{txt}
{com}.         order case_n_unit unit_num, after(duration_minutes)
{txt}
{com}.         drop pos
{txt}
{com}.         
.         destring num_unit, replace
{txt}num_unit: all characters numeric; {res}replaced {txt}as {res}byte
{txt}
{com}.         drop if num_unit != case_n_unit
{txt}(104 observations deleted)

{com}.         drop num_unit
{txt}
{com}.         
.         compress
  {txt}variable {bf}country{sf} was {bf}{res}str15{sf}{txt} now {bf}{res}str11{sf}
  {txt}variable {bf}full_name{sf} was {bf}{res}str28{sf}{txt} now {bf}{res}str23{sf}
  {txt}variable {bf}recipientemail{sf} was {bf}{res}str35{sf}{txt} now {bf}{res}str32{sf}
  {txt}variable {bf}userlanguage{sf} was {bf}{res}str13{sf}{txt} now {bf}{res}str2{sf}
  {txt}variable {bf}finished{sf} was {bf}{res}str8{sf}{txt} now {bf}{res}str4{sf}
  {txt}variable {bf}title_bur{sf} was {bf}{res}str448{sf}{txt} now {bf}{res}str235{sf}
  {txt}variable {bf}elecpol_ovrsee{sf} was {bf}{res}str352{sf}{txt} now {bf}{res}str3{sf}
  {txt}variable {bf}title_elecpol{sf} was {bf}{res}str312{sf}{txt} now {bf}{res}str288{sf}
  {txt}variable {bf}aptpol_d{sf} was {bf}{res}str332{sf}{txt} now {bf}{res}str30{sf}
  {txt}variable {bf}who_aptpol{sf} was {bf}{res}str96{sf}{txt} now {bf}{res}str84{sf}
  {txt}variable {bf}mostinf_servdel{sf} was {bf}{res}str256{sf}{txt} now {bf}{res}str44{sf}
  {txt}variable {bf}educ_elecpolbur{sf} was {bf}{res}str258{sf}{txt} now {bf}{res}str51{sf}
  {txt}variable {bf}educ_apolbur{sf} was {bf}{res}str260{sf}{txt} now {bf}{res}str1{sf}
  {txt}variable {bf}slry_elecpolbur{sf} was {bf}{res}str316{sf}{txt} now {bf}{res}str47{sf}
  {txt}variable {bf}slry_apolbur{sf} was {bf}{res}str318{sf}{txt} now {bf}{res}str1{sf}
  {txt}variable {bf}fdout_epol_bgt{sf} was {bf}{res}str373{sf}{txt} now {bf}{res}str19{sf}
  {txt}variable {bf}fdout_apol_bgt{sf} was {bf}{res}str375{sf}{txt} now {bf}{res}str1{sf}
  {txt}variable {bf}budsect_epol{sf} was {bf}{res}str217{sf}{txt} now {bf}{res}str19{sf}
  {txt}variable {bf}budsect_apol{sf} was {bf}{res}str219{sf}{txt} now {bf}{res}str1{sf}
  {txt}variable {bf}acinfexp_epol{sf} was {bf}{res}str216{sf}{txt} now {bf}{res}str19{sf}
  {txt}variable {bf}acinfexp_apol{sf} was {bf}{res}str218{sf}{txt} now {bf}{res}str1{sf}
  {txt}variable {bf}understand_epol{sf} was {bf}{res}str214{sf}{txt} now {bf}{res}str21{sf}
  {txt}variable {bf}understand_apol{sf} was {bf}{res}str216{sf}{txt} now {bf}{res}str21{sf}
  {txt}variable {bf}acttake_epol{sf} was {bf}{res}str247{sf}{txt} now {bf}{res}str163{sf}
  {txt}variable {bf}acttake_epoloth{sf} was {bf}{res}str261{sf}{txt} now {bf}{res}str63{sf}
  {txt}variable {bf}acttake_apol{sf} was {bf}{res}str250{sf}{txt} now {bf}{res}str1{sf}
  {txt}variable {bf}acttake_apoloth{sf} was {bf}{res}str264{sf}{txt} now {bf}{res}str1{sf}
  {txt}variable {bf}likely{sf} was {bf}{res}str159{sf}{txt} now {bf}{res}str18{sf}
  {txt}variable {bf}who_apt_bur{sf} was {bf}{res}str126{sf}{txt} now {bf}{res}str64{sf}
  {txt}variable {bf}who_fir_bur{sf} was {bf}{res}str120{sf}{txt} now {bf}{res}str64{sf}
  {txt}variable {bf}who_fir_buroth{sf} was {bf}{res}str134{sf}{txt} now {bf}{res}str77{sf}
  {txt}variable {bf}ocap_epol{sf} was {bf}{res}str359{sf}{txt} now {bf}{res}str55{sf}
  {txt}variable {bf}ocap_apol{sf} was {bf}{res}str361{sf}{txt} now {bf}{res}str1{sf}
  {txt}variable {bf}prio_epol{sf} was {bf}{res}str209{sf}{txt} now {bf}{res}str73{sf}
  {txt}variable {bf}prio_apol{sf} was {bf}{res}str211{sf}{txt} now {bf}{res}str1{sf}
  {txt}variable {bf}overall_conf{sf} was {bf}{res}str191{sf}{txt} now {bf}{res}str17{sf}
  {txt}variable {bf}avg_educ_buro{sf} was {bf}{res}str117{sf}{txt} now {bf}{res}str101{sf}
  {txt}variable {bf}avg_slry_apol{sf} was {bf}{res}str134{sf}{txt} now {bf}{res}str128{sf}
  {txt}variable {bf}avg_slry_buro{sf} was {bf}{res}str134{sf}{txt} now {bf}{res}str87{sf}
  {txt}variable {bf}confirmation{sf} was {bf}{res}str1148{sf}{txt} now {bf}{res}str63{sf}
{txt}  (462,685 bytes saved)

{com}.         
.         * We edit the label 
.         
.         lab var country "Country"
{txt}
{com}.         lab var full_name  "Full name of recipient"
{txt}
{com}.         lab var recipientemail "Recipient email"
{txt}
{com}.         lab var userlanguage "Language used to answer"
{txt}
{com}.         lab var finished "Completion status"
{txt}
{com}.         lab var progress "Progress"
{txt}
{com}.         lab var duration_minutes "Duration in minutes"
{txt}
{com}.         lab var case_n_unit "Original number of entities"
{txt}
{com}.         lab var unit_num "Unit number"
{txt}
{com}.         
.         * Confirmation
.         
.         fre confirmation
{res}
{txt}confirmation
{txt}{hline 54}{hline 1}{c TT}{hline 44}
{txt}        {txt}                                               {c |}      Freq.    Percent      Valid       Cum.
{txt}{hline 54}{hline 1}{c +}{hline 44}
{txt}Valid   No, this is inaccurate. This level needs to be {c |}{res}          2       3.28       7.14       7.14
{txt}        replaced/deleted                               {c |}{res}                                            
{txt}        No, this level needs to be replaced/deleted    {c |}{res}          2       3.28       7.14      14.29
{txt}        Yes, this is accurate                          {c |}{res}         24      39.34      85.71     100.00
{txt}        Total                                          {c |}{res}         28      45.90     100.00           
{txt}Missing                                                {c |}{res}         33      54.10                      
{txt}Total                                                  {c |}{res}         61     100.00                      
{txt}{hline 54}{hline 1}{c BT}{hline 44}

{com}.         replace confirmation = "1" if confirmation == "Yes, this is accurate"
{txt}(24 real changes made)

{com}.         replace confirmation = "0" if regexm(confirmation,"No")
{txt}(4 real changes made)

{com}.         destring confirmation, replace
{txt}confirmation: all characters numeric; {res}replaced {txt}as {res}byte
{txt}(33 missing values generated)
{res}{txt}
{com}.         
.         lab var confirmation "Confirmation of adequacy of unit"
{txt}
{com}.         lab def confirmation 0 "No, this is not accurate. It should be replaced/deleted" 1 "Yes, this is accurate"
{txt}
{com}.         lab val confirmation confirmation
{txt}
{com}.         
.         fre confirmation
{res}
{txt}confirmation {hline 2} Confirmation of adequacy of unit
{txt}{hline 48}{hline 1}{c TT}{hline 44}
{txt}        {txt}                                         {c |}      Freq.    Percent      Valid       Cum.
{txt}{hline 48}{hline 1}{c +}{hline 44}
{txt}Valid   0 No, this is not accurate. It should be {c |}{res}          4       6.56      14.29      14.29
{txt}          replaced/deleted                       {c |}{res}                                            
{txt}        1 Yes, this is accurate                  {c |}{res}         24      39.34      85.71     100.00
{txt}        Total                                    {c |}{res}         28      45.90     100.00           
{txt}Missing .                                        {c |}{res}         33      54.10                      
{txt}Total                                            {c |}{res}         61     100.00                      
{txt}{hline 48}{hline 1}{c BT}{hline 44}

{com}.         
.         order confirmation, after(unit_num)
{txt}
{com}.         
.         * Creating variable about asked_survey (should be updated)
.         
.         gen asked_survey = 0
{txt}
{com}.         replace asked_survey = 1 if confirmation == 1
{txt}(24 real changes made)

{com}.         lab var asked_survey "Survey question asked to respondent"
{txt}
{com}.         lab def yesno 0 "No" 1 "Yes"
{txt}
{com}.         lab val asked_survey yesno
{txt}
{com}.         order asked_survey, after(confirmation)
{txt}
{com}.         
.         * title_bur
.         
.         lab var title_bur "Title of the highest-level bureaucrat in unit"
{txt}
{com}.         
.         gen test_title_bur = (title_bur != "")
{txt}
{com}.         replace test_title_bur = . if asked_survey == 0
{txt}(37 real changes made, 37 to missing)

{com}.         fre test_title_bur
{res}
{txt}test_title_bur
{txt}{hline 9}{hline 1}{c TT}{hline 44}
{txt}        {txt}  {c |}      Freq.    Percent      Valid       Cum.
{txt}{hline 9}{hline 1}{c +}{hline 44}
{txt}Valid   1 {c |}{res}         24      39.34     100.00     100.00
{txt}Missing . {c |}{res}         37      60.66                      
{txt}Total     {c |}{res}         61     100.00                      
{txt}{hline 9}{hline 1}{c BT}{hline 44}

{com}.         assert inlist(test_title_bur,.,1)
{txt}
{com}.         
.         drop test_title_bur
{txt}
{com}.         
.         * elecpol_ovrsee
.         
.         lab var elecpol_ovrsee "Any politicians in unit overseeing service delivery"
{txt}
{com}.         replace elecpol_ovrsee = "0" if elecpol_ovrsee == "No"
{txt}(2 real changes made)

{com}.         replace elecpol_ovrsee = "1" if elecpol_ovrsee == "Yes"
{txt}(23 real changes made)

{com}.         destring elecpol_ovrsee, replace
{txt}elecpol_ovrsee: all characters numeric; {res}replaced {txt}as {res}byte
{txt}(36 missing values generated)
{res}{txt}
{com}.         lab val elecpol_ovrsee yesno
{txt}
{com}.         
.         fre elecpol_ovrsee
{res}
{txt}elecpol_ovrsee {hline 2} Any politicians in unit overseeing service delivery
{txt}{hline 13}{hline 1}{c TT}{hline 44}
{txt}        {txt}      {c |}      Freq.    Percent      Valid       Cum.
{txt}{hline 13}{hline 1}{c +}{hline 44}
{txt}Valid   0 No  {c |}{res}          2       3.28       8.00       8.00
{txt}        1 Yes {c |}{res}         23      37.70      92.00     100.00
{txt}        Total {c |}{res}         25      40.98     100.00           
{txt}Missing .     {c |}{res}         36      59.02                      
{txt}Total         {c |}{res}         61     100.00                      
{txt}{hline 13}{hline 1}{c BT}{hline 44}

{com}.         
.         gen test_elecpol_ovrsee = (elecpol_ovrsee != .)
{txt}
{com}.         replace test_elecpol_ovrsee = . if asked_survey == 0
{txt}(37 real changes made, 37 to missing)

{com}.         fre test_elecpol_ovrsee
{res}
{txt}test_elecpol_ovrsee
{txt}{hline 9}{hline 1}{c TT}{hline 44}
{txt}        {txt}  {c |}      Freq.    Percent      Valid       Cum.
{txt}{hline 9}{hline 1}{c +}{hline 44}
{txt}Valid   1 {c |}{res}         24      39.34     100.00     100.00
{txt}Missing . {c |}{res}         37      60.66                      
{txt}Total     {c |}{res}         61     100.00                      
{txt}{hline 9}{hline 1}{c BT}{hline 44}

{com}.         assert inlist(test_elecpol_ovrsee,.,1)
{txt}
{com}.         
.         drop test_elecpol_ovrsee
{txt}
{com}.         
.         * title_elecpol
.         
.         lab var title_elecpol "Title of the highest-level elected politician in unit"
{txt}
{com}.         
.         gen test_title_elecpol = (title_elecpol != "")
{txt}
{com}.         replace test_title_elecpol = . if asked_survey == 0
{txt}(37 real changes made, 37 to missing)

{com}.         replace test_title_elecpol = . if elecpol_ovrsee == 0
{txt}(1 real change made, 1 to missing)

{com}.         fre test_title_elecpol
{res}
{txt}test_title_elecpol
{txt}{hline 9}{hline 1}{c TT}{hline 44}
{txt}        {txt}  {c |}      Freq.    Percent      Valid       Cum.
{txt}{hline 9}{hline 1}{c +}{hline 44}
{txt}Valid   1 {c |}{res}         23      37.70     100.00     100.00
{txt}Missing . {c |}{res}         38      62.30                      
{txt}Total     {c |}{res}         61     100.00                      
{txt}{hline 9}{hline 1}{c BT}{hline 44}

{com}.         assert inlist(test_title_elecpol,.,1)
{txt}
{com}.         
.         drop test_title_elecpol
{txt}
{com}.         
.         * aptpol_d
.         
.         fre aptpol_d
{res}
{txt}aptpol_d
{txt}{hline 38}{hline 1}{c TT}{hline 44}
{txt}        {txt}                               {c |}      Freq.    Percent      Valid       Cum.
{txt}{hline 38}{hline 1}{c +}{hline 44}
{txt}Valid   Do not know / Refuse to answer {c |}{res}          1       1.64       4.00       4.00
{txt}        No                             {c |}{res}         15      24.59      60.00      64.00
{txt}        Yes                            {c |}{res}          9      14.75      36.00     100.00
{txt}        Total                          {c |}{res}         25      40.98     100.00           
{txt}Missing                                {c |}{res}         36      59.02                      
{txt}Total                                  {c |}{res}         61     100.00                      
{txt}{hline 38}{hline 1}{c BT}{hline 44}

{com}.         
.         lab var aptpol_d "Politician appointed by higher politician in unit"
{txt}
{com}.         replace aptpol_d = "0" if aptpol_d == "No"
{txt}(15 real changes made)

{com}.         replace aptpol_d = "1" if aptpol_d == "Yes"
{txt}(9 real changes made)

{com}.         replace aptpol_d = "-98" if aptpol_d == "Do not know / Refuse to answer"
{txt}(1 real change made)

{com}.         destring aptpol_d, replace
{txt}aptpol_d: all characters numeric; {res}replaced {txt}as {res}byte
{txt}(36 missing values generated)
{res}{txt}
{com}.         lab val aptpol_d yesno
{txt}
{com}.         
.         fre aptpol_d
{res}
{txt}aptpol_d {hline 2} Politician appointed by higher politician in unit
{txt}{hline 15}{hline 1}{c TT}{hline 44}
{txt}        {txt}        {c |}      Freq.    Percent      Valid       Cum.
{txt}{hline 15}{hline 1}{c +}{hline 44}
{txt}Valid   -98     {c |}{res}          1       1.64       4.00       4.00
{txt}        0   No  {c |}{res}         15      24.59      60.00      64.00
{txt}        1   Yes {c |}{res}          9      14.75      36.00     100.00
{txt}        Total   {c |}{res}         25      40.98     100.00           
{txt}Missing .       {c |}{res}         36      59.02                      
{txt}Total           {c |}{res}         61     100.00                      
{txt}{hline 15}{hline 1}{c BT}{hline 44}

{com}.         
.         gen test_aptpol_d = (aptpol_d != .)
{txt}
{com}.         replace test_aptpol_d = . if asked_survey == 0
{txt}(37 real changes made, 37 to missing)

{com}.         fre test_aptpol_d
{res}
{txt}test_aptpol_d
{txt}{hline 9}{hline 1}{c TT}{hline 44}
{txt}        {txt}  {c |}      Freq.    Percent      Valid       Cum.
{txt}{hline 9}{hline 1}{c +}{hline 44}
{txt}Valid   1 {c |}{res}         24      39.34     100.00     100.00
{txt}Missing . {c |}{res}         37      60.66                      
{txt}Total     {c |}{res}         61     100.00                      
{txt}{hline 9}{hline 1}{c BT}{hline 44}

{com}.         assert inlist(test_aptpol_d,.,1)
{txt}
{com}.         
.         drop test_aptpol_d
{txt}
{com}.         
.         * pol_exist_d
.         
.         gen pol_exist_d = 0
{txt}
{com}.         replace pol_exist_d = 1 if aptpol_d == 1 | elecpol_ovrsee == 1
{txt}(23 real changes made)

{com}.         replace pol_exist_d = . if asked_survey == 0
{txt}(37 real changes made, 37 to missing)

{com}.         lab val pol_exist_d yesno
{txt}
{com}.         lab var pol_exist_d "1 if we have either an appointed or elected politician"
{txt}
{com}.         
.         fre pol_exist_d
{res}
{txt}pol_exist_d {hline 2} 1 if we have either an appointed or elected politician
{txt}{hline 13}{hline 1}{c TT}{hline 44}
{txt}        {txt}      {c |}      Freq.    Percent      Valid       Cum.
{txt}{hline 13}{hline 1}{c +}{hline 44}
{txt}Valid   0 No  {c |}{res}          1       1.64       4.17       4.17
{txt}        1 Yes {c |}{res}         23      37.70      95.83     100.00
{txt}        Total {c |}{res}         24      39.34     100.00           
{txt}Missing .     {c |}{res}         37      60.66                      
{txt}Total         {c |}{res}         61     100.00                      
{txt}{hline 13}{hline 1}{c BT}{hline 44}

{com}.         order pol_exist_d, after(aptpol_d)
{txt}
{com}.         
.         * title_aptpol
.         
.         lab var title_aptpol "Title of the highest-level appointed politician in unit"
{txt}
{com}.         
.         gen test_title_aptpol = (title_aptpol != "")
{txt}
{com}.         replace test_title_aptpol = . if asked_survey == 0 
{txt}(37 real changes made, 37 to missing)

{com}.         replace test_title_aptpol = . if aptpol_d == 0 | aptpol_d == -98
{txt}(15 real changes made, 15 to missing)

{com}.         fre test_title_aptpol
{res}
{txt}test_title_aptpol
{txt}{hline 9}{hline 1}{c TT}{hline 44}
{txt}        {txt}  {c |}      Freq.    Percent      Valid       Cum.
{txt}{hline 9}{hline 1}{c +}{hline 44}
{txt}Valid   1 {c |}{res}          9      14.75     100.00     100.00
{txt}Missing . {c |}{res}         52      85.25                      
{txt}Total     {c |}{res}         61     100.00                      
{txt}{hline 9}{hline 1}{c BT}{hline 44}

{com}.         assert inlist(test_title_aptpol,.,1)
{txt}
{com}.         
.         drop test_title_aptpol
{txt}
{com}.         
.         * who_aptpol
.         
.         lab var who_aptpol "Who appoints the highest-level appointed politician in unit"
{txt}
{com}.         
.         gen test_who_aptpol = (who_aptpol != "")
{txt}
{com}.         replace test_who_aptpol = . if asked_survey == 0 
{txt}(37 real changes made, 37 to missing)

{com}.         replace test_who_aptpol = . if aptpol_d == 0 | aptpol_d == -98
{txt}(15 real changes made, 15 to missing)

{com}.         fre test_who_aptpol
{res}
{txt}test_who_aptpol
{txt}{hline 9}{hline 1}{c TT}{hline 44}
{txt}        {txt}  {c |}      Freq.    Percent      Valid       Cum.
{txt}{hline 9}{hline 1}{c +}{hline 44}
{txt}Valid   1 {c |}{res}          9      14.75     100.00     100.00
{txt}Missing . {c |}{res}         52      85.25                      
{txt}Total     {c |}{res}         61     100.00                      
{txt}{hline 9}{hline 1}{c BT}{hline 44}

{com}.         assert inlist(test_who_aptpol,.,1)
{txt}
{com}.         
.         drop test_who_aptpol
{txt}
{com}.         
.         * mostinf_servdel
.         
.         lab var mostinf_servdel "More influential in determining quality of service"
{txt}
{com}.         
.         replace mostinf_servdel = "1" if regexm(mostinf_servdel,"Elected much more")
{txt}(5 real changes made)

{com}.         replace mostinf_servdel = "2" if regexm(mostinf_servdel,"Elected slightly more")
{txt}(0 real changes made)

{com}.         replace mostinf_servdel = "3" if regexm(mostinf_servdel,"About the same")
{txt}(1 real change made)

{com}.         replace mostinf_servdel = "4" if regexm(mostinf_servdel,"Appointed slightly more")
{txt}(0 real changes made)

{com}.         replace mostinf_servdel = "5" if regexm(mostinf_servdel,"Appointed much more")
{txt}(3 real changes made)

{com}.         destring mostinf_servdel, replace
{txt}mostinf_servdel: all characters numeric; {res}replaced {txt}as {res}byte
{txt}(52 missing values generated)
{res}{txt}
{com}.         lab def mostinf_servdel 1 "Elected much more influential" 2 "Elected slightly more influential" 3 "About the same" 4 "Appointed slightly more influential" 5 "Appointed much more influential"
{txt}
{com}.         lab val mostinf_servdel mostinf_servdel
{txt}
{com}.         
.         fre mostinf_servdel
{res}
{txt}mostinf_servdel {hline 2} More influential in determining quality of service
{txt}{hline 41}{hline 1}{c TT}{hline 44}
{txt}        {txt}                                  {c |}      Freq.    Percent      Valid       Cum.
{txt}{hline 41}{hline 1}{c +}{hline 44}
{txt}Valid   1 Elected much more influential   {c |}{res}          5       8.20      55.56      55.56
{txt}        3 About the same                  {c |}{res}          1       1.64      11.11      66.67
{txt}        5 Appointed much more influential {c |}{res}          3       4.92      33.33     100.00
{txt}        Total                             {c |}{res}          9      14.75     100.00           
{txt}Missing .                                 {c |}{res}         52      85.25                      
{txt}Total                                     {c |}{res}         61     100.00                      
{txt}{hline 41}{hline 1}{c BT}{hline 44}

{com}.         
.         gen test_mostinf_servdel = (mostinf_servdel != .)
{txt}
{com}.         replace test_mostinf_servdel = . if asked_survey == 0 
{txt}(37 real changes made, 37 to missing)

{com}.         replace test_mostinf_servdel = . if (inlist(aptpol_d,0,-98) | elecpol_ovrsee == 0)
{txt}(15 real changes made, 15 to missing)

{com}.         fre test_mostinf_servdel
{res}
{txt}test_mostinf_servdel
{txt}{hline 9}{hline 1}{c TT}{hline 44}
{txt}        {txt}  {c |}      Freq.    Percent      Valid       Cum.
{txt}{hline 9}{hline 1}{c +}{hline 44}
{txt}Valid   1 {c |}{res}          9      14.75     100.00     100.00
{txt}Missing . {c |}{res}         52      85.25                      
{txt}Total     {c |}{res}         61     100.00                      
{txt}{hline 9}{hline 1}{c BT}{hline 44}

{com}.         assert inlist(test_mostinf_servdel,.,1)
{txt}
{com}.         
.         drop test_mostinf_servdel
{txt}
{com}.         
.         * educ_elecpolbur
.         
.         lab var educ_elecpolbur "More educated bureaucrat or politician (elec. politician)"
{txt}
{com}.         
.         fre educ_elecpolbur
{res}
{txt}educ_elecpolbur {hline 2} More educated bureaucrat or politician (elec. politician)
{txt}{hline 55}{hline 1}{c TT}{hline 44}
{txt}        {txt}                                                {c |}      Freq.    Percent      Valid       Cum.
{txt}{hline 55}{hline 1}{c +}{hline 44}
{txt}Valid   About the same level of education               {c |}{res}          4       6.56      17.39      17.39
{txt}        Bureaucrats much more educated than Politicians {c |}{res}         13      21.31      56.52      73.91
{txt}        Bureaucrats slightly more educated than         {c |}{res}          6       9.84      26.09     100.00
{txt}        Politicians                                     {c |}{res}                                            
{txt}        Total                                           {c |}{res}         23      37.70     100.00           
{txt}Missing                                                 {c |}{res}         38      62.30                      
{txt}Total                                                   {c |}{res}         61     100.00                      
{txt}{hline 55}{hline 1}{c BT}{hline 44}

{com}.         
.         replace educ_elecpolbur = "1" if regexm(educ_elecpolbur,"Bureaucrats much more educated")
{txt}(13 real changes made)

{com}.         replace educ_elecpolbur = "2" if regexm(educ_elecpolbur,"Bureaucrats slightly more educated")
{txt}(6 real changes made)

{com}.         replace educ_elecpolbur = "3" if regexm(educ_elecpolbur,"About the same")
{txt}(4 real changes made)

{com}.         replace educ_elecpolbur = "4" if regexm(educ_elecpolbur,"Politicians slightly more educated")
{txt}(0 real changes made)

{com}.         replace educ_elecpolbur = "5" if regexm(educ_elecpolbur,"Politicians much more educated")
{txt}(0 real changes made)

{com}.         destring educ_elecpolbur, replace
{txt}educ_elecpolbur: all characters numeric; {res}replaced {txt}as {res}byte
{txt}(38 missing values generated)
{res}{txt}
{com}.         lab def educ_elecpolbur 1 "Bureaucrats much more educated" 2 "Bureaucrats slightly more educated" 3 "About the same" 4 "Politicians slightly more educated" 5 "Politicians much more educated"
{txt}
{com}.         lab val educ_elecpolbur educ_elecpolbur
{txt}
{com}.         
.         fre educ_elecpolbur
{res}
{txt}educ_elecpolbur {hline 2} More educated bureaucrat or politician (elec. politician)
{txt}{hline 44}{hline 1}{c TT}{hline 44}
{txt}        {txt}                                     {c |}      Freq.    Percent      Valid       Cum.
{txt}{hline 44}{hline 1}{c +}{hline 44}
{txt}Valid   1 Bureaucrats much more educated     {c |}{res}         13      21.31      56.52      56.52
{txt}        2 Bureaucrats slightly more educated {c |}{res}          6       9.84      26.09      82.61
{txt}        3 About the same                     {c |}{res}          4       6.56      17.39     100.00
{txt}        Total                                {c |}{res}         23      37.70     100.00           
{txt}Missing .                                    {c |}{res}         38      62.30                      
{txt}Total                                        {c |}{res}         61     100.00                      
{txt}{hline 44}{hline 1}{c BT}{hline 44}

{com}.         
.         gen test_educ_elecpolbur = (educ_elecpolbur != .)
{txt}
{com}.         replace test_educ_elecpolbur = . if asked_survey == 0 
{txt}(37 real changes made, 37 to missing)

{com}.         replace test_educ_elecpolbur = . if elecpol_ovrsee == 0
{txt}(1 real change made, 1 to missing)

{com}.         fre test_educ_elecpolbur
{res}
{txt}test_educ_elecpolbur
{txt}{hline 9}{hline 1}{c TT}{hline 44}
{txt}        {txt}  {c |}      Freq.    Percent      Valid       Cum.
{txt}{hline 9}{hline 1}{c +}{hline 44}
{txt}Valid   1 {c |}{res}         23      37.70     100.00     100.00
{txt}Missing . {c |}{res}         38      62.30                      
{txt}Total     {c |}{res}         61     100.00                      
{txt}{hline 9}{hline 1}{c BT}{hline 44}

{com}.         assert inlist(test_educ_elecpolbur,.,1)
{txt}
{com}.         
.         drop test_educ_elecpolbur
{txt}
{com}.         
.         * educ_apolbur
.         
.         lab var educ_apolbur "More educated bureaucrat or politician (app. politician) "
{txt}
{com}.         
.         fre educ_apolbur
{res}
{txt}educ_apolbur {hline 2} More educated bureaucrat or politician (app. politician) 
{txt}{hline 8}{hline 1}{c TT}{hline 44}
{txt}        {txt} {c |}      Freq.    Percent      Valid       Cum.
{txt}{hline 8}{hline 1}{c +}{hline 44}
{txt}Missing  {c |}{res}         61     100.00                      
{txt}{hline 8}{hline 1}{c BT}{hline 44}

{com}.         
.         replace educ_apolbur = "1" if regexm(educ_apolbur,"Bureaucrats much more educated")
{txt}(0 real changes made)

{com}.         replace educ_apolbur = "2" if regexm(educ_apolbur,"Bureaucrats slightly more educated")
{txt}(0 real changes made)

{com}.         replace educ_apolbur = "3" if regexm(educ_apolbur,"About the same")
{txt}(0 real changes made)

{com}.         replace educ_apolbur = "4" if regexm(educ_apolbur,"Politicians slightly more educated")
{txt}(0 real changes made)

{com}.         replace educ_apolbur = "5" if regexm(educ_apolbur,"Politicians much more educated")
{txt}(0 real changes made)

{com}.         destring educ_apolbur, replace
{txt}educ_apolbur: all characters numeric; {res}replaced {txt}as {res}byte
{txt}(61 missing values generated)
{res}{txt}
{com}.         lab def educ_apolbur 1 "Bureaucrats much more educated" 2 "Bureaucrats slightly more educated" 3 "About the same" 4 "Politicians slightly more educated" 5 "Politicians much more educated"
{txt}
{com}.         lab val educ_apolbur educ_apolbur
{txt}
{com}.         
.         fre educ_apolbur
{res}
{txt}educ_apolbur {hline 2} More educated bureaucrat or politician (app. politician) 
{txt}{hline 13}{hline 1}{c TT}{hline 44}
{txt}        {txt}      {c |}      Freq.    Percent      Valid       Cum.
{txt}{hline 13}{hline 1}{c +}{hline 44}
{txt}Missing .     {c |}{res}         61     100.00                      
{txt}{hline 13}{hline 1}{c BT}{hline 44}

{com}.         
.         gen test_educ_apolbur = (educ_apolbur != .)
{txt}
{com}.         replace test_educ_apolbur = . if asked_survey == 0
{txt}(37 real changes made, 37 to missing)

{com}.         replace test_educ_apolbur = . if aptpol_d == 0
{txt}(14 real changes made, 14 to missing)

{com}.         replace test_educ_apolbur = . if elecpol_ovrsee == 1 
{txt}(10 real changes made, 10 to missing)

{com}.         fre test_educ_apolbur
{res}
{txt}test_educ_apolbur
{txt}{hline 9}{hline 1}{c TT}{hline 44}
{txt}        {txt}  {c |}      Freq.    Percent      Valid       Cum.
{txt}{hline 9}{hline 1}{c +}{hline 44}
{txt}Missing . {c |}{res}         61     100.00                      
{txt}{hline 9}{hline 1}{c BT}{hline 44}

{com}.         assert inlist(test_educ_apolbur,.,1)
{txt}
{com}.         
.         drop test_educ_apolbur
{txt}
{com}.         
.         * slry_elecpolbur
.         
.         lab var slry_elecpolbur "Earning more bureaucrat or politician (elec. politician)"
{txt}
{com}.         
.         fre slry_elecpolbur
{res}
{txt}slry_elecpolbur {hline 2} Earning more bureaucrat or politician (elec. politician)
{txt}{hline 55}{hline 1}{c TT}{hline 44}
{txt}        {txt}                                                {c |}      Freq.    Percent      Valid       Cum.
{txt}{hline 55}{hline 1}{c +}{hline 44}
{txt}Valid   Both earn about the same                        {c |}{res}          4       6.56      17.39      17.39
{txt}        Bureaucrats earn much more than Politicians     {c |}{res}          5       8.20      21.74      39.13
{txt}        Bureaucrats earn slightly more than Politicians {c |}{res}          3       4.92      13.04      52.17
{txt}        Politicians earn much more than Bureaucrats     {c |}{res}          6       9.84      26.09      78.26
{txt}        Politicians earn slightly more than Bureaucrats {c |}{res}          5       8.20      21.74     100.00
{txt}        Total                                           {c |}{res}         23      37.70     100.00           
{txt}Missing                                                 {c |}{res}         38      62.30                      
{txt}Total                                                   {c |}{res}         61     100.00                      
{txt}{hline 55}{hline 1}{c BT}{hline 44}

{com}.         
.         replace slry_elecpolbur = "1" if regexm(slry_elecpolbur,"Bureaucrats earn much")
{txt}(5 real changes made)

{com}.         replace slry_elecpolbur = "2" if regexm(slry_elecpolbur,"Bureaucrats earn slightly")
{txt}(3 real changes made)

{com}.         replace slry_elecpolbur = "3" if regexm(slry_elecpolbur,"Both earn")
{txt}(4 real changes made)

{com}.         replace slry_elecpolbur = "4" if regexm(slry_elecpolbur,"Politicians earn slightly")
{txt}(5 real changes made)

{com}.         replace slry_elecpolbur = "5" if regexm(slry_elecpolbur,"Politicians earn much")
{txt}(6 real changes made)

{com}.         destring slry_elecpolbur, replace
{txt}slry_elecpolbur: all characters numeric; {res}replaced {txt}as {res}byte
{txt}(38 missing values generated)
{res}{txt}
{com}.         lab def slry_elecpolbur 1 "Bureaucrats earn much more" 2 "Bureaucrats earn slightly more" 3 "Both earn the same" 4 "Politicians earn slightly" 5 "Politicians earn much more"
{txt}
{com}.         lab val slry_elecpolbur slry_elecpolbur
{txt}
{com}.         
.         fre slry_elecpolbur
{res}
{txt}slry_elecpolbur {hline 2} Earning more bureaucrat or politician (elec. politician)
{txt}{hline 40}{hline 1}{c TT}{hline 44}
{txt}        {txt}                                 {c |}      Freq.    Percent      Valid       Cum.
{txt}{hline 40}{hline 1}{c +}{hline 44}
{txt}Valid   1 Bureaucrats earn much more     {c |}{res}          5       8.20      21.74      21.74
{txt}        2 Bureaucrats earn slightly more {c |}{res}          3       4.92      13.04      34.78
{txt}        3 Both earn the same             {c |}{res}          4       6.56      17.39      52.17
{txt}        4 Politicians earn slightly      {c |}{res}          5       8.20      21.74      73.91
{txt}        5 Politicians earn much more     {c |}{res}          6       9.84      26.09     100.00
{txt}        Total                            {c |}{res}         23      37.70     100.00           
{txt}Missing .                                {c |}{res}         38      62.30                      
{txt}Total                                    {c |}{res}         61     100.00                      
{txt}{hline 40}{hline 1}{c BT}{hline 44}

{com}.         
.         gen test_slry_elecpolbur = (slry_elecpolbur != .)
{txt}
{com}.         replace test_slry_elecpolbur = . if asked_survey == 0 
{txt}(37 real changes made, 37 to missing)

{com}.         replace test_slry_elecpolbur = . if elecpol_ovrsee == 0
{txt}(1 real change made, 1 to missing)

{com}.         fre test_slry_elecpolbur
{res}
{txt}test_slry_elecpolbur
{txt}{hline 9}{hline 1}{c TT}{hline 44}
{txt}        {txt}  {c |}      Freq.    Percent      Valid       Cum.
{txt}{hline 9}{hline 1}{c +}{hline 44}
{txt}Valid   1 {c |}{res}         23      37.70     100.00     100.00
{txt}Missing . {c |}{res}         38      62.30                      
{txt}Total     {c |}{res}         61     100.00                      
{txt}{hline 9}{hline 1}{c BT}{hline 44}

{com}.         assert inlist(test_slry_elecpolbur,.,1)
{txt}
{com}.         
.         drop test_slry_elecpolbur
{txt}
{com}.         
.         * slry_apolbur
.         
.         lab var slry_apolbur "Earning more bureaucrat or politician (app. politician)"
{txt}
{com}.         
.         fre slry_apolbur
{res}
{txt}slry_apolbur {hline 2} Earning more bureaucrat or politician (app. politician)
{txt}{hline 8}{hline 1}{c TT}{hline 44}
{txt}        {txt} {c |}      Freq.    Percent      Valid       Cum.
{txt}{hline 8}{hline 1}{c +}{hline 44}
{txt}Missing  {c |}{res}         61     100.00                      
{txt}{hline 8}{hline 1}{c BT}{hline 44}

{com}.         
.         replace slry_apolbur = "1" if regexm(slry_apolbur,"Bureaucrats earn much")
{txt}(0 real changes made)

{com}.         replace slry_apolbur = "2" if regexm(slry_apolbur,"Bureaucrats earn slightly")
{txt}(0 real changes made)

{com}.         replace slry_apolbur = "3" if regexm(slry_apolbur,"Both earn")
{txt}(0 real changes made)

{com}.         replace slry_apolbur = "4" if regexm(slry_apolbur,"Politicians earn slightly")
{txt}(0 real changes made)

{com}.         replace slry_apolbur = "5" if regexm(slry_apolbur,"Politicians earn much")
{txt}(0 real changes made)

{com}.         destring slry_apolbur, replace
{txt}slry_apolbur: all characters numeric; {res}replaced {txt}as {res}byte
{txt}(61 missing values generated)
{res}{txt}
{com}.         lab def slry_apolbur 1 "Bureaucrats earn much more" 2 "Bureaucrats earn slightly more" 3 "Both earn the same" 4 "Politicians earn slightly" 5 "Politicians earn much more"
{txt}
{com}.         lab val slry_apolbur slry_apolbur
{txt}
{com}.         
.         fre slry_apolbur
{res}
{txt}slry_apolbur {hline 2} Earning more bureaucrat or politician (app. politician)
{txt}{hline 13}{hline 1}{c TT}{hline 44}
{txt}        {txt}      {c |}      Freq.    Percent      Valid       Cum.
{txt}{hline 13}{hline 1}{c +}{hline 44}
{txt}Missing .     {c |}{res}         61     100.00                      
{txt}{hline 13}{hline 1}{c BT}{hline 44}

{com}.         
.         gen test_slry_apolbur = (slry_apolbur != .)
{txt}
{com}.         replace test_slry_apolbur = . if asked_survey == 0
{txt}(37 real changes made, 37 to missing)

{com}.         replace test_slry_apolbur = . if aptpol_d == 0
{txt}(14 real changes made, 14 to missing)

{com}.         replace test_slry_apolbur = . if elecpol_ovrsee == 1 
{txt}(10 real changes made, 10 to missing)

{com}.         fre test_slry_apolbur
{res}
{txt}test_slry_apolbur
{txt}{hline 9}{hline 1}{c TT}{hline 44}
{txt}        {txt}  {c |}      Freq.    Percent      Valid       Cum.
{txt}{hline 9}{hline 1}{c +}{hline 44}
{txt}Missing . {c |}{res}         61     100.00                      
{txt}{hline 9}{hline 1}{c BT}{hline 44}

{com}.         assert inlist(test_slry_apolbur,.,1)
{txt}
{com}.         
.         drop test_slry_apolbur
{txt}
{com}.         
.         * We merge the payment module
.         
.         merge m:1 responseid using "`payment_module'"
{res}
{txt}{col 5}Result{col 38}# of obs.
{col 5}{hline 41}
{col 5}not matched{col 30}{res}               0
{txt}{col 5}matched{col 30}{res}              61{txt}  (_merge==3)
{col 5}{hline 41}

{com}.         drop _merge
{txt}
{com}.         order donate_d org_donation_id paid_status, after(duration_minutes)
{txt}
{com}.         
.         * fdout_epol_bgt
.         
.         lab var fdout_epol_bgt "Easy to find out about envelop (elec. politician)"
{txt}
{com}.         
.         fre fdout_epol_bgt
{res}
{txt}fdout_epol_bgt {hline 2} Easy to find out about envelop (elec. politician)
{txt}{hline 26}{hline 1}{c TT}{hline 44}
{txt}        {txt}                   {c |}      Freq.    Percent      Valid       Cum.
{txt}{hline 26}{hline 1}{c +}{hline 44}
{txt}Valid   Somewhat difficult {c |}{res}          3       4.92      13.04      13.04
{txt}        Somewhat easy      {c |}{res}          6       9.84      26.09      39.13
{txt}        Very easy          {c |}{res}         14      22.95      60.87     100.00
{txt}        Total              {c |}{res}         23      37.70     100.00           
{txt}Missing                    {c |}{res}         38      62.30                      
{txt}Total                      {c |}{res}         61     100.00                      
{txt}{hline 26}{hline 1}{c BT}{hline 44}

{com}.         
.         replace fdout_epol_bgt = "1" if regexm(fdout_epol_bgt,"Very easy")
{txt}(14 real changes made)

{com}.         replace fdout_epol_bgt = "2" if regexm(fdout_epol_bgt,"Somewhat easy")
{txt}(6 real changes made)

{com}.         replace fdout_epol_bgt = "3" if regexm(fdout_epol_bgt,"Somewhat difficult")
{txt}(3 real changes made)

{com}.         replace fdout_epol_bgt = "4" if regexm(fdout_epol_bgt,"Very difficult")
{txt}(0 real changes made)

{com}.         replace fdout_epol_bgt = "5" if regexm(fdout_epol_bgt,"Not applicable")
{txt}(0 real changes made)

{com}.         replace fdout_epol_bgt = "6" if regexm(fdout_epol_bgt,"Do not know")
{txt}(0 real changes made)

{com}.         
.         destring fdout_epol_bgt, replace
{txt}fdout_epol_bgt: all characters numeric; {res}replaced {txt}as {res}byte
{txt}(38 missing values generated)
{res}{txt}
{com}.         lab def fdout_epol_bgt 1 "Very easy" 2 "Somewhat easy" 3 "Somewhat difficult" 4 "Very difficult" 5 "Not applicable, this level of government has no spending power" 6 "Do not know / Refuse to answer"
{txt}
{com}.         lab val fdout_epol_bgt fdout_epol_bgt
{txt}
{com}.         
.         fre fdout_epol_bgt
{res}
{txt}fdout_epol_bgt {hline 2} Easy to find out about envelop (elec. politician)
{txt}{hline 28}{hline 1}{c TT}{hline 44}
{txt}        {txt}                     {c |}      Freq.    Percent      Valid       Cum.
{txt}{hline 28}{hline 1}{c +}{hline 44}
{txt}Valid   1 Very easy          {c |}{res}         14      22.95      60.87      60.87
{txt}        2 Somewhat easy      {c |}{res}          6       9.84      26.09      86.96
{txt}        3 Somewhat difficult {c |}{res}          3       4.92      13.04     100.00
{txt}        Total                {c |}{res}         23      37.70     100.00           
{txt}Missing .                    {c |}{res}         38      62.30                      
{txt}Total                        {c |}{res}         61     100.00                      
{txt}{hline 28}{hline 1}{c BT}{hline 44}

{com}.         
.         gen test_fdout_epol_bgt = (fdout_epol_bgt != .)
{txt}
{com}.         replace test_fdout_epol_bgt = . if asked_survey == 0 
{txt}(37 real changes made, 37 to missing)

{com}.         replace test_fdout_epol_bgt = . if elecpol_ovrsee == 0
{txt}(1 real change made, 1 to missing)

{com}.         fre test_fdout_epol_bgt
{res}
{txt}test_fdout_epol_bgt
{txt}{hline 9}{hline 1}{c TT}{hline 44}
{txt}        {txt}  {c |}      Freq.    Percent      Valid       Cum.
{txt}{hline 9}{hline 1}{c +}{hline 44}
{txt}Valid   1 {c |}{res}         23      37.70     100.00     100.00
{txt}Missing . {c |}{res}         38      62.30                      
{txt}Total     {c |}{res}         61     100.00                      
{txt}{hline 9}{hline 1}{c BT}{hline 44}

{com}.         assert inlist(test_fdout_epol_bgt,.,1)
{txt}
{com}.         
.         drop test_fdout_epol_bgt
{txt}
{com}.         
.         * fdout_apol_bgt
.         
.         lab var fdout_apol_bgt "Easy to find out about envelop (app. politician)"
{txt}
{com}.         
.         fre fdout_apol_bgt
{res}
{txt}fdout_apol_bgt {hline 2} Easy to find out about envelop (app. politician)
{txt}{hline 8}{hline 1}{c TT}{hline 44}
{txt}        {txt} {c |}      Freq.    Percent      Valid       Cum.
{txt}{hline 8}{hline 1}{c +}{hline 44}
{txt}Missing  {c |}{res}         61     100.00                      
{txt}{hline 8}{hline 1}{c BT}{hline 44}

{com}.         
.         replace fdout_apol_bgt = "1" if regexm(fdout_apol_bgt,"Very easy")
{txt}(0 real changes made)

{com}.         replace fdout_apol_bgt = "2" if regexm(fdout_apol_bgt,"Somewhat easy")
{txt}(0 real changes made)

{com}.         replace fdout_apol_bgt = "3" if regexm(fdout_apol_bgt,"Somewhat difficult")
{txt}(0 real changes made)

{com}.         replace fdout_apol_bgt = "4" if regexm(fdout_apol_bgt,"Very difficult")
{txt}(0 real changes made)

{com}.         replace fdout_apol_bgt = "5" if regexm(fdout_apol_bgt,"Not applicable")
{txt}(0 real changes made)

{com}.         replace fdout_apol_bgt = "6" if regexm(fdout_apol_bgt,"Do not know")
{txt}(0 real changes made)

{com}.         
.         destring fdout_apol_bgt, replace
{txt}fdout_apol_bgt: all characters numeric; {res}replaced {txt}as {res}byte
{txt}(61 missing values generated)
{res}{txt}
{com}.         lab def fdout_apol_bgt 1 "Very easy" 2 "Somewhat easy" 3 "Somewhat difficult" 4 "Very difficult" 5 "Not applicable, this level of government has no spending power" 6 "Do not know / Refuse to answer"
{txt}
{com}.         lab val fdout_apol_bgt fdout_apol_bgt
{txt}
{com}.         
.         fre fdout_apol_bgt
{res}
{txt}fdout_apol_bgt {hline 2} Easy to find out about envelop (app. politician)
{txt}{hline 13}{hline 1}{c TT}{hline 44}
{txt}        {txt}      {c |}      Freq.    Percent      Valid       Cum.
{txt}{hline 13}{hline 1}{c +}{hline 44}
{txt}Missing .     {c |}{res}         61     100.00                      
{txt}{hline 13}{hline 1}{c BT}{hline 44}

{com}.         
.         gen test_fdout_apol_bgt = (fdout_apol_bgt != .)
{txt}
{com}.         replace test_fdout_apol_bgt = . if asked_survey == 0
{txt}(37 real changes made, 37 to missing)

{com}.         replace test_fdout_apol_bgt = . if aptpol_d == 0
{txt}(14 real changes made, 14 to missing)

{com}.         replace test_fdout_apol_bgt = . if elecpol_ovrsee == 1 
{txt}(10 real changes made, 10 to missing)

{com}.         fre test_fdout_apol_bgt
{res}
{txt}test_fdout_apol_bgt
{txt}{hline 9}{hline 1}{c TT}{hline 44}
{txt}        {txt}  {c |}      Freq.    Percent      Valid       Cum.
{txt}{hline 9}{hline 1}{c +}{hline 44}
{txt}Missing . {c |}{res}         61     100.00                      
{txt}{hline 9}{hline 1}{c BT}{hline 44}

{com}.         assert inlist(test_fdout_apol_bgt,.,1)
{txt}
{com}.         
.         drop test_fdout_apol_bgt
{txt}
{com}.         
.         
.         e

{txt}end of do-file


{com}. tab elecpol_ovrsee aptpol_d, m

       {txt}Any {c |}
politician {c |}
 s in unit {c |}
overseeing {c |}  Politician appointed by higher politician
   service {c |}                   in unit
  delivery {c |}       -98         No        Yes          . {c |}     Total
{hline 11}{c +}{hline 44}{c +}{hline 10}
        No {c |}{res}         0          2          0          0 {txt}{c |}{res}         2 
{txt}       Yes {c |}{res}         1         13          9          0 {txt}{c |}{res}        23 
{txt}         . {c |}{res}         0          0          0         36 {txt}{c |}{res}        36 
{txt}{hline 11}{c +}{hline 44}{c +}{hline 10}
     Total {c |}{res}         1         15          9         36 {txt}{c |}{res}        61 


{com}. fre budsect_apol
{res}
{txt}budsect_apol
{txt}{hline 8}{hline 1}{c TT}{hline 44}
{txt}        {txt} {c |}      Freq.    Percent      Valid       Cum.
{txt}{hline 8}{hline 1}{c +}{hline 44}
{txt}Missing  {c |}{res}         61     100.00                      
{txt}{hline 8}{hline 1}{c BT}{hline 44}

{com}. do "/Users/fredericcochinard/Dropbox/Expert survey/Code/2.importing_data.do"
{txt}
{com}. 
.         * Purpose: Importing data to run HFC
.         
.         * Setting up globals
.         
.         if "`c(username)'" == "fredericcochinard" {c -(}
.                 
.                 global import_folder "/Users/fredericcochinard/Dropbox/Expert survey/Data/0.survey_dataset/0.import"
.                 global output "/Users/fredericcochinard/Dropbox/Expert survey/Data/0.survey_dataset/1.output"
.                 
.                 {c )-}
{txt}
{com}.                 
.         if "`c(username)'" == "" {c -(}
.         
.                 
.                 {c )-}
{txt}
{com}.         
.         * Looking for renaming folder with problem
.         
.         local myfiles: dir "$import_folder" files "*.xlsx"
{txt}
{com}. 
.         foreach file of local myfiles {c -(}
{txt}  2{com}.                 
.                 local subfile = substr("`file'", 1, .)
{txt}  3{com}.                 local subfile : subinstr local subfile " " "_", all
{txt}  4{com}.                 ! mv "${c -(}import_folder{c )-}/`file'" "${c -(}import_folder{c )-}/`subfile'"
{txt}  5{com}.                 
.                 {c )-}
{txt}

{com}.         
.         * Looking for dataset
.         
.         filelist , dir("$import_folder") pat("*.xlsx")
{res}{txt}Number of files found = {res}1
{txt}
{com}.         
.         gen url = filename
{txt}
{com}.         
.         levelsof url
{txt}`"Expert_survey_February_18,_2025_16.23.xlsx"'

{com}. 
.         local lvlfiles `r(levels)'
{txt}
{com}.         
.         local z = 0
{txt}
{com}.         
.         foreach lvl of local lvlfiles {c -(}
{txt}  2{com}.         
.                 local z = `z' + 1
{txt}  3{com}.                 
.                 local temp : subinstr local lvl `"""' "", all
{txt}  4{com}.                 local url : subinstr local temp "'" "", all
{txt}  5{com}.         
.                 import excel "${c -(}import_folder{c )-}/`url'", first case(lower) clear
{txt}  6{com}.                 
.                 gen num = _n
{txt}  7{com}.                 drop if num == 1
{txt}  8{com}.                 
.                 * Preparing the append
.                 
.                 tempfile data`z'
{txt}  9{com}.                 sa "`data`z''"
{txt} 10{com}.                 
.                 {c )-}
{res}{txt}(1 observation deleted)
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.000001 saved

{com}.                 
.         * We append the dataset to start cleaning
.         
.         use "`data1'", clear
{txt}
{com}.         
.         forvalues x = 2/`z' {c -(}
{txt}  2{com}.         
.                 append using "`data`x''"
{txt}  3{com}.                 
.                 {c )-}
{txt}
{com}.                 
.         duplicates drop

{p 0 4}{txt}Duplicates in terms of {txt} all variables{p_end}

(0 observations are duplicates)

{com}.         
.         * We keep relevant variable
.         drop if recipientemail == "frederic.cochinard@gmail.com"
{txt}(8 observations deleted)

{com}.         drop if recipientemail == "vedpant+spanish@college.harvard.edu"
{txt}(1 observation deleted)

{com}.         drop if recipientemail == "frederic.cochinard+3@gmail.com"
{txt}(1 observation deleted)

{com}.         drop if recipientemail == "frederic.cochinard+1@gmail.com"
{txt}(1 observation deleted)

{com}.         
.         * We remove observation that are not finished
.         drop if finished == "False"
{txt}(9 observations deleted)

{com}.         
.         * We create a save
.         
.         tempfile save_data
{txt}
{com}.         sa "`save_data'"
{txt}file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.000002 saved

{com}.         
.         ******************
.         * Payment module *
.         ******************
.         
.         preserve
{txt}
{com}.         
.         keep responseid method_pay_bank_in_q-q977
{txt}
{com}.         compress
  {txt}variable {bf}method_pay_bank_in_q{sf} was {bf}{res}str237{sf}{txt} now {bf}{res}str24{sf}
  {txt}variable {bf}expert_donation_org{sf} was {bf}{res}str129{sf}{txt} now {bf}{res}str23{sf}
  {txt}variable {bf}q967{sf} was {bf}{res}str236{sf}{txt} now {bf}{res}str65{sf}
  {txt}variable {bf}q978{sf} was {bf}{res}str326{sf}{txt} now {bf}{res}str16{sf}
  {txt}variable {bf}q979{sf} was {bf}{res}str104{sf}{txt} now {bf}{res}str39{sf}
  {txt}variable {bf}q980{sf} was {bf}{res}str95{sf}{txt} now {bf}{res}str11{sf}
  {txt}variable {bf}q987{sf} was {bf}{res}str170{sf}{txt} now {bf}{res}str24{sf}
  {txt}variable {bf}q984{sf} was {bf}{res}str326{sf}{txt} now {bf}{res}str1{sf}
  {txt}variable {bf}q985{sf} was {bf}{res}str104{sf}{txt} now {bf}{res}str1{sf}
  {txt}variable {bf}q986{sf} was {bf}{res}str95{sf}{txt} now {bf}{res}str1{sf}
  {txt}variable {bf}q988{sf} was {bf}{res}str170{sf}{txt} now {bf}{res}str1{sf}
  {txt}variable {bf}q989{sf} was {bf}{res}str559{sf}{txt} now {bf}{res}str1{sf}
  {txt}variable {bf}q990{sf} was {bf}{res}str102{sf}{txt} now {bf}{res}str1{sf}
  {txt}variable {bf}q991{sf} was {bf}{res}str93{sf}{txt} now {bf}{res}str1{sf}
  {txt}variable {bf}q992{sf} was {bf}{res}str170{sf}{txt} now {bf}{res}str1{sf}
  {txt}variable {bf}q998{sf} was {bf}{res}str537{sf}{txt} now {bf}{res}str1{sf}
  {txt}variable {bf}q997{sf} was {bf}{res}str105{sf}{txt} now {bf}{res}str1{sf}
  {txt}variable {bf}q999{sf} was {bf}{res}str104{sf}{txt} now {bf}{res}str1{sf}
  {txt}variable {bf}q1000{sf} was {bf}{res}str95{sf}{txt} now {bf}{res}str1{sf}
  {txt}variable {bf}q1001{sf} was {bf}{res}str170{sf}{txt} now {bf}{res}str1{sf}
  {txt}variable {bf}q977{sf} was {bf}{res}str502{sf}{txt} now {bf}{res}str23{sf}
{txt}  (46,101 bytes saved)

{com}.         
.         * Donate_d
.         
.         gen donate_d = 0
{txt}
{com}.         replace donate_d = 1 if method_pay_bank_in_q == "I prefer to donate"
{txt}(3 real changes made)

{com}.         
.         * Special case
.         replace donate_d = 1 if responseid == "R_4ouc7tR6BFj3gpb" // respondent is refusing to take money in comments
{txt}(1 real change made)

{com}.         replace donate_d = 1 if responseid == "R_4Iow7YzsoT2KTOx" // respondent is writing cancel in comments
{txt}(1 real change made)

{com}.         
.         lab var donate_d "Respondent decided to donate"
{txt}
{com}.         lab def donate_d 0 "No" 1 "Yes"
{txt}
{com}.         lab val donate_d donate_d
{txt}
{com}.         order donate_d, after(responseid)
{txt}
{com}.         
.         * Org
.         
.         gen org_donation_id = "" 
{txt}(11 missing values generated)

{com}.         replace org_donation_id = expert_donation_org if donate_d == 1
{txt}variable {bf}org_donation_id{sf} was {bf}{res}str1{sf}{txt} now {bf}{res}str23{sf}
{txt}(3 real changes made)

{com}.         replace org_donation_id = "No choice" if donate_d == 1 & org_donation_id == ""
{txt}(2 real changes made)

{com}.         lab var org_donation_id "Name of the organization the respondent chose to donate"
{txt}
{com}.         order org_donation_id, after(donate_d)
{txt}
{com}.         
.         * Paid status
.         
.         gen paid_status = 0
{txt}
{com}.         replace paid_status = 2 if donate_d == 1
{txt}(5 real changes made)

{com}.         
.         * Case of payment
.         
.         lab var paid_status "Status of payment of the respondent"
{txt}
{com}.         lab def paid_status 0 "Not yet" 1 "Yes" 2 "Donation"
{txt}
{com}.         lab val paid_status paid_status
{txt}
{com}.         order paid_status, after(org_donation_id)
{txt}
{com}.         
.         keep responseid donate_d org_donation_id paid_status
{txt}
{com}.         
.         tempfile payment_module
{txt}
{com}.         sa "`payment_module'"
{txt}file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.000004 saved

{com}.         
.         restore
{txt}
{com}.         
.         * Main form of survey 
.         keep country full_name recipientemail responseid progress durationinseconds finished userlanguage num_unit confirmation_* ///
>         title_bur* elecpol_ovrsee* title_elecpol* aptpol_d* title_aptpol* who_aptpol* mostinf_servdel* educ_elecpolbur* ///
>         educ_apolbur* slry_elecpolbur* slry_apolbur* fdout_epol_bgt* fdout_apol_bgt* budsect_epol* budsect_apol* acinfexp_epol* /// 
>         acinfexp_apol* understand_epol* understand_apol* acttake_epol* acttake_epol* acttake_apol* acttake_apol* likely* why_likchan* /// 
>         who_apt_bur* who_apt_bur* who_fir_bur* who_fir_bur* ocap_epol* ocap_apol* prio_epol* prio_apol* overall_conf* avg_educ_epol* ///
>         avg_educ_apol* avg_educ_buro* avg_slry_epol* avg_slry_apol* avg_slry_buro* //
{txt}
{com}.         
.         destring durationinseconds progress, replace
{txt}durationinseconds: all characters numeric; {res}replaced {txt}as {res}int
{txt}progress: all characters numeric; {res}replaced {txt}as {res}byte
{txt}
{com}.         replace durationinseconds = round(durationinseconds/60)
{txt}(11 real changes made)

{com}.         ren durationinseconds duration_minutes
{res}{txt}
{com}. 
.         *--
.         
.         local id country full_name recipientemail responseid userlanguage num_unit finished progress duration_minutes
{txt}
{com}.         
.         order `id', first
{txt}
{com}.         duplicates drop `id', force

{p 0 4}{txt}Duplicates in terms of {res} country full_name recipientemail responseid userlanguage num_unit finished progress duration_minutes{p_end}

{txt}(0 observations are duplicates)

{com}.         
.         * Renaming others
.         
.         forvalues x = 1/3 {c -(}
{txt}  2{com}.                 
.                 forvalues y = 1/6 {c -(} 
{txt}  3{com}.                 
.                         cap ren who_apt_bur_`x'_`y'_8_text who_apt_buroth_`x'_`y'
{txt}  4{com}.                         cap ren who_fir_bur_`x'_`y'_8_text who_fir_buroth_`x'_`y'
{txt}  5{com}.                         cap ren acttake_epol_`x'_`y'_9_text acttake_epoloth_`x'_`y'
{txt}  6{com}.                         cap ren acttake_apol_`x'_`y'_9_text acttake_apoloth_`x'_`y'
{txt}  7{com}.                         
.                         {c )-}
{txt}  8{com}.                         
.                 {c )-}
{txt}
{com}.         
.         #delimit ;
{txt}delimiter now ;
{com}.         local var confirmation
>         title_bur 
>         elecpol_ovrsee
>         title_elecpol
>         aptpol_d
>         title_aptpol
>         who_aptpol
>         mostinf_servdel
>         educ_elecpolbur
>         educ_apolbur
>         slry_elecpolbur
>         slry_apolbur
>         fdout_epol_bgt
>         fdout_apol_bgt
>         budsect_epol
>         budsect_apol
>         acinfexp_epol
>         acinfexp_apol
>         understand_epol
>         understand_apol
>         acttake_epol
>         acttake_epoloth
>         acttake_apol
>         acttake_apoloth
>         likely
>         why_likchan
>         who_apt_bur
>         who_apt_buroth
>         who_fir_bur
>         who_fir_buroth
>         ocap_epol
>         ocap_apol
>         prio_epol
>         prio_apol
>         overall_conf
>         avg_educ_epol
>         avg_educ_apol
>         avg_educ_buro
>         avg_slry_epol
>         avg_slry_apol
>         avg_slry_buro
>         
>         ;
{txt}
{com}.                 #delimit cr
{txt}delimiter now cr
{com}. 
.         reshape long `var', i(`id') j(pos) s
{txt}(note: j = _1_1 _1_4 _1_5 _1_6 _2_1 _2_2 _2_4 _2_5 _2_6 _3_1 _3_2 _3_3 _3_4 _3_5 _3_6)
(note: confirmation_1_4 not found)
(note: confirmation_1_5 not found)
(note: confirmation_1_6 not found)
(note: confirmation_2_4 not found)
(note: confirmation_2_5 not found)
(note: confirmation_2_6 not found)
(note: confirmation_3_4 not found)
(note: confirmation_3_5 not found)
(note: confirmation_3_6 not found)

Data{col 36}wide{col 43}->{col 48}long
{hline 77}
Number of obs.                 {res}      11   {txt}->{res}     165
{txt}Number of variables            {res}     615   {txt}->{res}      51
{txt}j variable (15 values)                    ->   {res}pos
{txt}xij variables:
{res}confirmation_1_1 confirmation_1_4 ... confirmation_3_6{txt}->{res}confirmation
title_bur_1_1 title_bur_1_4 ... title_bur_3_6{txt}->{res}title_bur
elecpol_ovrsee_1_1 elecpol_ovrsee_1_4 ... elecpol_ovrsee_3_6{txt}->{res}elecpol_ovrsee
title_elecpol_1_1 title_elecpol_1_4 ... title_elecpol_3_6{txt}->{res}title_elecpol
aptpol_d_1_1 aptpol_d_1_4 ... aptpol_d_3_6{txt}->   {res}aptpol_d
title_aptpol_1_1 title_aptpol_1_4 ... title_aptpol_3_6{txt}->{res}title_aptpol
who_aptpol_1_1 who_aptpol_1_4 ... who_aptpol_3_6{txt}->{res}who_aptpol
mostinf_servdel_1_1 mostinf_servdel_1_4 ... mostinf_servdel_3_6{txt}->{res}mostinf_servdel
educ_elecpolbur_1_1 educ_elecpolbur_1_4 ... educ_elecpolbur_3_6{txt}->{res}educ_elecpolbur
educ_apolbur_1_1 educ_apolbur_1_4 ... educ_apolbur_3_6{txt}->{res}educ_apolbur
slry_elecpolbur_1_1 slry_elecpolbur_1_4 ... slry_elecpolbur_3_6{txt}->{res}slry_elecpolbur
slry_apolbur_1_1 slry_apolbur_1_4 ... slry_apolbur_3_6{txt}->{res}slry_apolbur
fdout_epol_bgt_1_1 fdout_epol_bgt_1_4 ... fdout_epol_bgt_3_6{txt}->{res}fdout_epol_bgt
fdout_apol_bgt_1_1 fdout_apol_bgt_1_4 ... fdout_apol_bgt_3_6{txt}->{res}fdout_apol_bgt
budsect_epol_1_1 budsect_epol_1_4 ... budsect_epol_3_6{txt}->{res}budsect_epol
budsect_apol_1_1 budsect_apol_1_4 ... budsect_apol_3_6{txt}->{res}budsect_apol
acinfexp_epol_1_1 acinfexp_epol_1_4 ... acinfexp_epol_3_6{txt}->{res}acinfexp_epol
acinfexp_apol_1_1 acinfexp_apol_1_4 ... acinfexp_apol_3_6{txt}->{res}acinfexp_apol
understand_epol_1_1 understand_epol_1_4 ... understand_epol_3_6{txt}->{res}understand_epol
understand_apol_1_1 understand_apol_1_4 ... understand_apol_3_6{txt}->{res}understand_apol
acttake_epol_1_1 acttake_epol_1_4 ... acttake_epol_3_6{txt}->{res}acttake_epol
acttake_epoloth_1_1 acttake_epoloth_1_4 ... acttake_epoloth_3_6{txt}->{res}acttake_epoloth
acttake_apol_1_1 acttake_apol_1_4 ... acttake_apol_3_6{txt}->{res}acttake_apol
acttake_apoloth_1_1 acttake_apoloth_1_4 ... acttake_apoloth_3_6{txt}->{res}acttake_apoloth
   likely_1_1 likely_1_4 ... likely_3_6   {txt}->   {res}likely
why_likchan_1_1 why_likchan_1_4 ... why_likchan_3_6{txt}->{res}why_likchan
who_apt_bur_1_1 who_apt_bur_1_4 ... who_apt_bur_3_6{txt}->{res}who_apt_bur
who_apt_buroth_1_1 who_apt_buroth_1_4 ... who_apt_buroth_3_6{txt}->{res}who_apt_buroth
who_fir_bur_1_1 who_fir_bur_1_4 ... who_fir_bur_3_6{txt}->{res}who_fir_bur
who_fir_buroth_1_1 who_fir_buroth_1_4 ... who_fir_buroth_3_6{txt}->{res}who_fir_buroth
ocap_epol_1_1 ocap_epol_1_4 ... ocap_epol_3_6{txt}->{res}ocap_epol
ocap_apol_1_1 ocap_apol_1_4 ... ocap_apol_3_6{txt}->{res}ocap_apol
prio_epol_1_1 prio_epol_1_4 ... prio_epol_3_6{txt}->{res}prio_epol
prio_apol_1_1 prio_apol_1_4 ... prio_apol_3_6{txt}->{res}prio_apol
overall_conf_1_1 overall_conf_1_4 ... overall_conf_3_6{txt}->{res}overall_conf
avg_educ_epol_1_1 avg_educ_epol_1_4 ... avg_educ_epol_3_6{txt}->{res}avg_educ_epol
avg_educ_apol_1_1 avg_educ_apol_1_4 ... avg_educ_apol_3_6{txt}->{res}avg_educ_apol
avg_educ_buro_1_1 avg_educ_buro_1_4 ... avg_educ_buro_3_6{txt}->{res}avg_educ_buro
avg_slry_epol_1_1 avg_slry_epol_1_4 ... avg_slry_epol_3_6{txt}->{res}avg_slry_epol
avg_slry_apol_1_1 avg_slry_apol_1_4 ... avg_slry_apol_3_6{txt}->{res}avg_slry_apol
avg_slry_buro_1_1 avg_slry_buro_1_4 ... avg_slry_buro_3_6{txt}->{res}avg_slry_buro
{txt}{hline 77}

{com}.         
.         * Filter data
.         
.         split pos, p("_")
{res}variables created as string: 
{txt}{col 1}pos1{col 7}pos2{col 13}pos3

{com}.         
.         drop pos1
{txt}
{com}.         ren pos2 case_n_unit
{res}{txt}
{com}.         ren pos3 unit_num
{res}{txt}
{com}.         destring case_n_unit unit_num, replace
{txt}case_n_unit: all characters numeric; {res}replaced {txt}as {res}byte
{txt}unit_num: all characters numeric; {res}replaced {txt}as {res}byte
{txt}
{com}.         order case_n_unit unit_num, after(duration_minutes)
{txt}
{com}.         drop pos
{txt}
{com}.         
.         destring num_unit, replace
{txt}num_unit: all characters numeric; {res}replaced {txt}as {res}byte
{txt}
{com}.         drop if num_unit != case_n_unit
{txt}(104 observations deleted)

{com}.         drop num_unit
{txt}
{com}.         
.         compress
  {txt}variable {bf}country{sf} was {bf}{res}str15{sf}{txt} now {bf}{res}str11{sf}
  {txt}variable {bf}full_name{sf} was {bf}{res}str28{sf}{txt} now {bf}{res}str23{sf}
  {txt}variable {bf}recipientemail{sf} was {bf}{res}str35{sf}{txt} now {bf}{res}str32{sf}
  {txt}variable {bf}userlanguage{sf} was {bf}{res}str13{sf}{txt} now {bf}{res}str2{sf}
  {txt}variable {bf}finished{sf} was {bf}{res}str8{sf}{txt} now {bf}{res}str4{sf}
  {txt}variable {bf}title_bur{sf} was {bf}{res}str448{sf}{txt} now {bf}{res}str235{sf}
  {txt}variable {bf}elecpol_ovrsee{sf} was {bf}{res}str352{sf}{txt} now {bf}{res}str3{sf}
  {txt}variable {bf}title_elecpol{sf} was {bf}{res}str312{sf}{txt} now {bf}{res}str288{sf}
  {txt}variable {bf}aptpol_d{sf} was {bf}{res}str332{sf}{txt} now {bf}{res}str30{sf}
  {txt}variable {bf}who_aptpol{sf} was {bf}{res}str96{sf}{txt} now {bf}{res}str84{sf}
  {txt}variable {bf}mostinf_servdel{sf} was {bf}{res}str256{sf}{txt} now {bf}{res}str44{sf}
  {txt}variable {bf}educ_elecpolbur{sf} was {bf}{res}str258{sf}{txt} now {bf}{res}str51{sf}
  {txt}variable {bf}educ_apolbur{sf} was {bf}{res}str260{sf}{txt} now {bf}{res}str1{sf}
  {txt}variable {bf}slry_elecpolbur{sf} was {bf}{res}str316{sf}{txt} now {bf}{res}str47{sf}
  {txt}variable {bf}slry_apolbur{sf} was {bf}{res}str318{sf}{txt} now {bf}{res}str1{sf}
  {txt}variable {bf}fdout_epol_bgt{sf} was {bf}{res}str373{sf}{txt} now {bf}{res}str19{sf}
  {txt}variable {bf}fdout_apol_bgt{sf} was {bf}{res}str375{sf}{txt} now {bf}{res}str1{sf}
  {txt}variable {bf}budsect_epol{sf} was {bf}{res}str217{sf}{txt} now {bf}{res}str19{sf}
  {txt}variable {bf}budsect_apol{sf} was {bf}{res}str219{sf}{txt} now {bf}{res}str1{sf}
  {txt}variable {bf}acinfexp_epol{sf} was {bf}{res}str216{sf}{txt} now {bf}{res}str19{sf}
  {txt}variable {bf}acinfexp_apol{sf} was {bf}{res}str218{sf}{txt} now {bf}{res}str1{sf}
  {txt}variable {bf}understand_epol{sf} was {bf}{res}str214{sf}{txt} now {bf}{res}str21{sf}
  {txt}variable {bf}understand_apol{sf} was {bf}{res}str216{sf}{txt} now {bf}{res}str21{sf}
  {txt}variable {bf}acttake_epol{sf} was {bf}{res}str247{sf}{txt} now {bf}{res}str163{sf}
  {txt}variable {bf}acttake_epoloth{sf} was {bf}{res}str261{sf}{txt} now {bf}{res}str63{sf}
  {txt}variable {bf}acttake_apol{sf} was {bf}{res}str250{sf}{txt} now {bf}{res}str1{sf}
  {txt}variable {bf}acttake_apoloth{sf} was {bf}{res}str264{sf}{txt} now {bf}{res}str1{sf}
  {txt}variable {bf}likely{sf} was {bf}{res}str159{sf}{txt} now {bf}{res}str18{sf}
  {txt}variable {bf}who_apt_bur{sf} was {bf}{res}str126{sf}{txt} now {bf}{res}str64{sf}
  {txt}variable {bf}who_fir_bur{sf} was {bf}{res}str120{sf}{txt} now {bf}{res}str64{sf}
  {txt}variable {bf}who_fir_buroth{sf} was {bf}{res}str134{sf}{txt} now {bf}{res}str77{sf}
  {txt}variable {bf}ocap_epol{sf} was {bf}{res}str359{sf}{txt} now {bf}{res}str55{sf}
  {txt}variable {bf}ocap_apol{sf} was {bf}{res}str361{sf}{txt} now {bf}{res}str1{sf}
  {txt}variable {bf}prio_epol{sf} was {bf}{res}str209{sf}{txt} now {bf}{res}str73{sf}
  {txt}variable {bf}prio_apol{sf} was {bf}{res}str211{sf}{txt} now {bf}{res}str1{sf}
  {txt}variable {bf}overall_conf{sf} was {bf}{res}str191{sf}{txt} now {bf}{res}str17{sf}
  {txt}variable {bf}avg_educ_buro{sf} was {bf}{res}str117{sf}{txt} now {bf}{res}str101{sf}
  {txt}variable {bf}avg_slry_apol{sf} was {bf}{res}str134{sf}{txt} now {bf}{res}str128{sf}
  {txt}variable {bf}avg_slry_buro{sf} was {bf}{res}str134{sf}{txt} now {bf}{res}str87{sf}
  {txt}variable {bf}confirmation{sf} was {bf}{res}str1148{sf}{txt} now {bf}{res}str63{sf}
{txt}  (462,685 bytes saved)

{com}.         
.         * We edit the label 
.         
.         lab var country "Country"
{txt}
{com}.         lab var full_name  "Full name of recipient"
{txt}
{com}.         lab var recipientemail "Recipient email"
{txt}
{com}.         lab var userlanguage "Language used to answer"
{txt}
{com}.         lab var finished "Completion status"
{txt}
{com}.         lab var progress "Progress"
{txt}
{com}.         lab var duration_minutes "Duration in minutes"
{txt}
{com}.         lab var case_n_unit "Original number of entities"
{txt}
{com}.         lab var unit_num "Unit number"
{txt}
{com}.         
.         * Confirmation
.         
.         fre confirmation
{res}
{txt}confirmation
{txt}{hline 54}{hline 1}{c TT}{hline 44}
{txt}        {txt}                                               {c |}      Freq.    Percent      Valid       Cum.
{txt}{hline 54}{hline 1}{c +}{hline 44}
{txt}Valid   No, this is inaccurate. This level needs to be {c |}{res}          2       3.28       7.14       7.14
{txt}        replaced/deleted                               {c |}{res}                                            
{txt}        No, this level needs to be replaced/deleted    {c |}{res}          2       3.28       7.14      14.29
{txt}        Yes, this is accurate                          {c |}{res}         24      39.34      85.71     100.00
{txt}        Total                                          {c |}{res}         28      45.90     100.00           
{txt}Missing                                                {c |}{res}         33      54.10                      
{txt}Total                                                  {c |}{res}         61     100.00                      
{txt}{hline 54}{hline 1}{c BT}{hline 44}

{com}.         replace confirmation = "1" if confirmation == "Yes, this is accurate"
{txt}(24 real changes made)

{com}.         replace confirmation = "0" if regexm(confirmation,"No")
{txt}(4 real changes made)

{com}.         destring confirmation, replace
{txt}confirmation: all characters numeric; {res}replaced {txt}as {res}byte
{txt}(33 missing values generated)
{res}{txt}
{com}.         
.         lab var confirmation "Confirmation of adequacy of unit"
{txt}
{com}.         lab def confirmation 0 "No, this is not accurate. It should be replaced/deleted" 1 "Yes, this is accurate"
{txt}
{com}.         lab val confirmation confirmation
{txt}
{com}.         
.         fre confirmation
{res}
{txt}confirmation {hline 2} Confirmation of adequacy of unit
{txt}{hline 48}{hline 1}{c TT}{hline 44}
{txt}        {txt}                                         {c |}      Freq.    Percent      Valid       Cum.
{txt}{hline 48}{hline 1}{c +}{hline 44}
{txt}Valid   0 No, this is not accurate. It should be {c |}{res}          4       6.56      14.29      14.29
{txt}          replaced/deleted                       {c |}{res}                                            
{txt}        1 Yes, this is accurate                  {c |}{res}         24      39.34      85.71     100.00
{txt}        Total                                    {c |}{res}         28      45.90     100.00           
{txt}Missing .                                        {c |}{res}         33      54.10                      
{txt}Total                                            {c |}{res}         61     100.00                      
{txt}{hline 48}{hline 1}{c BT}{hline 44}

{com}.         
.         order confirmation, after(unit_num)
{txt}
{com}.         
.         * Creating variable about asked_survey (should be updated)
.         
.         gen asked_survey = 0
{txt}
{com}.         replace asked_survey = 1 if confirmation == 1
{txt}(24 real changes made)

{com}.         lab var asked_survey "Survey question asked to respondent"
{txt}
{com}.         lab def yesno 0 "No" 1 "Yes"
{txt}
{com}.         lab val asked_survey yesno
{txt}
{com}.         order asked_survey, after(confirmation)
{txt}
{com}.         
.         * title_bur
.         
.         lab var title_bur "Title of the highest-level bureaucrat in unit"
{txt}
{com}.         
.         gen test_title_bur = (title_bur != "")
{txt}
{com}.         replace test_title_bur = . if asked_survey == 0
{txt}(37 real changes made, 37 to missing)

{com}.         fre test_title_bur
{res}
{txt}test_title_bur
{txt}{hline 9}{hline 1}{c TT}{hline 44}
{txt}        {txt}  {c |}      Freq.    Percent      Valid       Cum.
{txt}{hline 9}{hline 1}{c +}{hline 44}
{txt}Valid   1 {c |}{res}         24      39.34     100.00     100.00
{txt}Missing . {c |}{res}         37      60.66                      
{txt}Total     {c |}{res}         61     100.00                      
{txt}{hline 9}{hline 1}{c BT}{hline 44}

{com}.         assert inlist(test_title_bur,.,1)
{txt}
{com}.         
.         drop test_title_bur
{txt}
{com}.         
.         * elecpol_ovrsee
.         
.         lab var elecpol_ovrsee "Any politicians in unit overseeing service delivery"
{txt}
{com}.         replace elecpol_ovrsee = "0" if elecpol_ovrsee == "No"
{txt}(2 real changes made)

{com}.         replace elecpol_ovrsee = "1" if elecpol_ovrsee == "Yes"
{txt}(23 real changes made)

{com}.         destring elecpol_ovrsee, replace
{txt}elecpol_ovrsee: all characters numeric; {res}replaced {txt}as {res}byte
{txt}(36 missing values generated)
{res}{txt}
{com}.         lab val elecpol_ovrsee yesno
{txt}
{com}.         
.         fre elecpol_ovrsee
{res}
{txt}elecpol_ovrsee {hline 2} Any politicians in unit overseeing service delivery
{txt}{hline 13}{hline 1}{c TT}{hline 44}
{txt}        {txt}      {c |}      Freq.    Percent      Valid       Cum.
{txt}{hline 13}{hline 1}{c +}{hline 44}
{txt}Valid   0 No  {c |}{res}          2       3.28       8.00       8.00
{txt}        1 Yes {c |}{res}         23      37.70      92.00     100.00
{txt}        Total {c |}{res}         25      40.98     100.00           
{txt}Missing .     {c |}{res}         36      59.02                      
{txt}Total         {c |}{res}         61     100.00                      
{txt}{hline 13}{hline 1}{c BT}{hline 44}

{com}.         
.         gen test_elecpol_ovrsee = (elecpol_ovrsee != .)
{txt}
{com}.         replace test_elecpol_ovrsee = . if asked_survey == 0
{txt}(37 real changes made, 37 to missing)

{com}.         fre test_elecpol_ovrsee
{res}
{txt}test_elecpol_ovrsee
{txt}{hline 9}{hline 1}{c TT}{hline 44}
{txt}        {txt}  {c |}      Freq.    Percent      Valid       Cum.
{txt}{hline 9}{hline 1}{c +}{hline 44}
{txt}Valid   1 {c |}{res}         24      39.34     100.00     100.00
{txt}Missing . {c |}{res}         37      60.66                      
{txt}Total     {c |}{res}         61     100.00                      
{txt}{hline 9}{hline 1}{c BT}{hline 44}

{com}.         assert inlist(test_elecpol_ovrsee,.,1)
{txt}
{com}.         
.         drop test_elecpol_ovrsee
{txt}
{com}.         
.         * title_elecpol
.         
.         lab var title_elecpol "Title of the highest-level elected politician in unit"
{txt}
{com}.         
.         gen test_title_elecpol = (title_elecpol != "")
{txt}
{com}.         replace test_title_elecpol = . if asked_survey == 0
{txt}(37 real changes made, 37 to missing)

{com}.         replace test_title_elecpol = . if elecpol_ovrsee == 0
{txt}(1 real change made, 1 to missing)

{com}.         fre test_title_elecpol
{res}
{txt}test_title_elecpol
{txt}{hline 9}{hline 1}{c TT}{hline 44}
{txt}        {txt}  {c |}      Freq.    Percent      Valid       Cum.
{txt}{hline 9}{hline 1}{c +}{hline 44}
{txt}Valid   1 {c |}{res}         23      37.70     100.00     100.00
{txt}Missing . {c |}{res}         38      62.30                      
{txt}Total     {c |}{res}         61     100.00                      
{txt}{hline 9}{hline 1}{c BT}{hline 44}

{com}.         assert inlist(test_title_elecpol,.,1)
{txt}
{com}.         
.         drop test_title_elecpol
{txt}
{com}.         
.         * aptpol_d
.         
.         fre aptpol_d
{res}
{txt}aptpol_d
{txt}{hline 38}{hline 1}{c TT}{hline 44}
{txt}        {txt}                               {c |}      Freq.    Percent      Valid       Cum.
{txt}{hline 38}{hline 1}{c +}{hline 44}
{txt}Valid   Do not know / Refuse to answer {c |}{res}          1       1.64       4.00       4.00
{txt}        No                             {c |}{res}         15      24.59      60.00      64.00
{txt}        Yes                            {c |}{res}          9      14.75      36.00     100.00
{txt}        Total                          {c |}{res}         25      40.98     100.00           
{txt}Missing                                {c |}{res}         36      59.02                      
{txt}Total                                  {c |}{res}         61     100.00                      
{txt}{hline 38}{hline 1}{c BT}{hline 44}

{com}.         
.         lab var aptpol_d "Politician appointed by higher politician in unit"
{txt}
{com}.         replace aptpol_d = "0" if aptpol_d == "No"
{txt}(15 real changes made)

{com}.         replace aptpol_d = "1" if aptpol_d == "Yes"
{txt}(9 real changes made)

{com}.         replace aptpol_d = "-98" if aptpol_d == "Do not know / Refuse to answer"
{txt}(1 real change made)

{com}.         destring aptpol_d, replace
{txt}aptpol_d: all characters numeric; {res}replaced {txt}as {res}byte
{txt}(36 missing values generated)
{res}{txt}
{com}.         lab val aptpol_d yesno
{txt}
{com}.         
.         fre aptpol_d
{res}
{txt}aptpol_d {hline 2} Politician appointed by higher politician in unit
{txt}{hline 15}{hline 1}{c TT}{hline 44}
{txt}        {txt}        {c |}      Freq.    Percent      Valid       Cum.
{txt}{hline 15}{hline 1}{c +}{hline 44}
{txt}Valid   -98     {c |}{res}          1       1.64       4.00       4.00
{txt}        0   No  {c |}{res}         15      24.59      60.00      64.00
{txt}        1   Yes {c |}{res}          9      14.75      36.00     100.00
{txt}        Total   {c |}{res}         25      40.98     100.00           
{txt}Missing .       {c |}{res}         36      59.02                      
{txt}Total           {c |}{res}         61     100.00                      
{txt}{hline 15}{hline 1}{c BT}{hline 44}

{com}.         
.         gen test_aptpol_d = (aptpol_d != .)
{txt}
{com}.         replace test_aptpol_d = . if asked_survey == 0
{txt}(37 real changes made, 37 to missing)

{com}.         fre test_aptpol_d
{res}
{txt}test_aptpol_d
{txt}{hline 9}{hline 1}{c TT}{hline 44}
{txt}        {txt}  {c |}      Freq.    Percent      Valid       Cum.
{txt}{hline 9}{hline 1}{c +}{hline 44}
{txt}Valid   1 {c |}{res}         24      39.34     100.00     100.00
{txt}Missing . {c |}{res}         37      60.66                      
{txt}Total     {c |}{res}         61     100.00                      
{txt}{hline 9}{hline 1}{c BT}{hline 44}

{com}.         assert inlist(test_aptpol_d,.,1)
{txt}
{com}.         
.         drop test_aptpol_d
{txt}
{com}.         
.         * pol_exist_d
.         
.         gen pol_exist_d = 0
{txt}
{com}.         replace pol_exist_d = 1 if aptpol_d == 1 | elecpol_ovrsee == 1
{txt}(23 real changes made)

{com}.         replace pol_exist_d = . if asked_survey == 0
{txt}(37 real changes made, 37 to missing)

{com}.         lab val pol_exist_d yesno
{txt}
{com}.         lab var pol_exist_d "1 if we have either an appointed or elected politician"
{txt}
{com}.         
.         fre pol_exist_d
{res}
{txt}pol_exist_d {hline 2} 1 if we have either an appointed or elected politician
{txt}{hline 13}{hline 1}{c TT}{hline 44}
{txt}        {txt}      {c |}      Freq.    Percent      Valid       Cum.
{txt}{hline 13}{hline 1}{c +}{hline 44}
{txt}Valid   0 No  {c |}{res}          1       1.64       4.17       4.17
{txt}        1 Yes {c |}{res}         23      37.70      95.83     100.00
{txt}        Total {c |}{res}         24      39.34     100.00           
{txt}Missing .     {c |}{res}         37      60.66                      
{txt}Total         {c |}{res}         61     100.00                      
{txt}{hline 13}{hline 1}{c BT}{hline 44}

{com}.         order pol_exist_d, after(aptpol_d)
{txt}
{com}.         
.         * title_aptpol
.         
.         lab var title_aptpol "Title of the highest-level appointed politician in unit"
{txt}
{com}.         
.         gen test_title_aptpol = (title_aptpol != "")
{txt}
{com}.         replace test_title_aptpol = . if asked_survey == 0 
{txt}(37 real changes made, 37 to missing)

{com}.         replace test_title_aptpol = . if aptpol_d == 0 | aptpol_d == -98
{txt}(15 real changes made, 15 to missing)

{com}.         fre test_title_aptpol
{res}
{txt}test_title_aptpol
{txt}{hline 9}{hline 1}{c TT}{hline 44}
{txt}        {txt}  {c |}      Freq.    Percent      Valid       Cum.
{txt}{hline 9}{hline 1}{c +}{hline 44}
{txt}Valid   1 {c |}{res}          9      14.75     100.00     100.00
{txt}Missing . {c |}{res}         52      85.25                      
{txt}Total     {c |}{res}         61     100.00                      
{txt}{hline 9}{hline 1}{c BT}{hline 44}

{com}.         assert inlist(test_title_aptpol,.,1)
{txt}
{com}.         
.         drop test_title_aptpol
{txt}
{com}.         
.         * who_aptpol
.         
.         lab var who_aptpol "Who appoints the highest-level appointed politician in unit"
{txt}
{com}.         
.         gen test_who_aptpol = (who_aptpol != "")
{txt}
{com}.         replace test_who_aptpol = . if asked_survey == 0 
{txt}(37 real changes made, 37 to missing)

{com}.         replace test_who_aptpol = . if aptpol_d == 0 | aptpol_d == -98
{txt}(15 real changes made, 15 to missing)

{com}.         fre test_who_aptpol
{res}
{txt}test_who_aptpol
{txt}{hline 9}{hline 1}{c TT}{hline 44}
{txt}        {txt}  {c |}      Freq.    Percent      Valid       Cum.
{txt}{hline 9}{hline 1}{c +}{hline 44}
{txt}Valid   1 {c |}{res}          9      14.75     100.00     100.00
{txt}Missing . {c |}{res}         52      85.25                      
{txt}Total     {c |}{res}         61     100.00                      
{txt}{hline 9}{hline 1}{c BT}{hline 44}

{com}.         assert inlist(test_who_aptpol,.,1)
{txt}
{com}.         
.         drop test_who_aptpol
{txt}
{com}.         
.         * mostinf_servdel
.         
.         lab var mostinf_servdel "More influential in determining quality of service"
{txt}
{com}.         
.         replace mostinf_servdel = "1" if regexm(mostinf_servdel,"Elected much more")
{txt}(5 real changes made)

{com}.         replace mostinf_servdel = "2" if regexm(mostinf_servdel,"Elected slightly more")
{txt}(0 real changes made)

{com}.         replace mostinf_servdel = "3" if regexm(mostinf_servdel,"About the same")
{txt}(1 real change made)

{com}.         replace mostinf_servdel = "4" if regexm(mostinf_servdel,"Appointed slightly more")
{txt}(0 real changes made)

{com}.         replace mostinf_servdel = "5" if regexm(mostinf_servdel,"Appointed much more")
{txt}(3 real changes made)

{com}.         destring mostinf_servdel, replace
{txt}mostinf_servdel: all characters numeric; {res}replaced {txt}as {res}byte
{txt}(52 missing values generated)
{res}{txt}
{com}.         lab def mostinf_servdel 1 "Elected much more influential" 2 "Elected slightly more influential" 3 "About the same" 4 "Appointed slightly more influential" 5 "Appointed much more influential"
{txt}
{com}.         lab val mostinf_servdel mostinf_servdel
{txt}
{com}.         
.         fre mostinf_servdel
{res}
{txt}mostinf_servdel {hline 2} More influential in determining quality of service
{txt}{hline 41}{hline 1}{c TT}{hline 44}
{txt}        {txt}                                  {c |}      Freq.    Percent      Valid       Cum.
{txt}{hline 41}{hline 1}{c +}{hline 44}
{txt}Valid   1 Elected much more influential   {c |}{res}          5       8.20      55.56      55.56
{txt}        3 About the same                  {c |}{res}          1       1.64      11.11      66.67
{txt}        5 Appointed much more influential {c |}{res}          3       4.92      33.33     100.00
{txt}        Total                             {c |}{res}          9      14.75     100.00           
{txt}Missing .                                 {c |}{res}         52      85.25                      
{txt}Total                                     {c |}{res}         61     100.00                      
{txt}{hline 41}{hline 1}{c BT}{hline 44}

{com}.         
.         gen test_mostinf_servdel = (mostinf_servdel != .)
{txt}
{com}.         replace test_mostinf_servdel = . if asked_survey == 0 
{txt}(37 real changes made, 37 to missing)

{com}.         replace test_mostinf_servdel = . if (inlist(aptpol_d,0,-98) | elecpol_ovrsee == 0)
{txt}(15 real changes made, 15 to missing)

{com}.         fre test_mostinf_servdel
{res}
{txt}test_mostinf_servdel
{txt}{hline 9}{hline 1}{c TT}{hline 44}
{txt}        {txt}  {c |}      Freq.    Percent      Valid       Cum.
{txt}{hline 9}{hline 1}{c +}{hline 44}
{txt}Valid   1 {c |}{res}          9      14.75     100.00     100.00
{txt}Missing . {c |}{res}         52      85.25                      
{txt}Total     {c |}{res}         61     100.00                      
{txt}{hline 9}{hline 1}{c BT}{hline 44}

{com}.         assert inlist(test_mostinf_servdel,.,1)
{txt}
{com}.         
.         drop test_mostinf_servdel
{txt}
{com}.         
.         * educ_elecpolbur
.         
.         lab var educ_elecpolbur "More educated bureaucrat or politician (elec. politician)"
{txt}
{com}.         
.         fre educ_elecpolbur
{res}
{txt}educ_elecpolbur {hline 2} More educated bureaucrat or politician (elec. politician)
{txt}{hline 55}{hline 1}{c TT}{hline 44}
{txt}        {txt}                                                {c |}      Freq.    Percent      Valid       Cum.
{txt}{hline 55}{hline 1}{c +}{hline 44}
{txt}Valid   About the same level of education               {c |}{res}          4       6.56      17.39      17.39
{txt}        Bureaucrats much more educated than Politicians {c |}{res}         13      21.31      56.52      73.91
{txt}        Bureaucrats slightly more educated than         {c |}{res}          6       9.84      26.09     100.00
{txt}        Politicians                                     {c |}{res}                                            
{txt}        Total                                           {c |}{res}         23      37.70     100.00           
{txt}Missing                                                 {c |}{res}         38      62.30                      
{txt}Total                                                   {c |}{res}         61     100.00                      
{txt}{hline 55}{hline 1}{c BT}{hline 44}

{com}.         
.         replace educ_elecpolbur = "1" if regexm(educ_elecpolbur,"Bureaucrats much more educated")
{txt}(13 real changes made)

{com}.         replace educ_elecpolbur = "2" if regexm(educ_elecpolbur,"Bureaucrats slightly more educated")
{txt}(6 real changes made)

{com}.         replace educ_elecpolbur = "3" if regexm(educ_elecpolbur,"About the same")
{txt}(4 real changes made)

{com}.         replace educ_elecpolbur = "4" if regexm(educ_elecpolbur,"Politicians slightly more educated")
{txt}(0 real changes made)

{com}.         replace educ_elecpolbur = "5" if regexm(educ_elecpolbur,"Politicians much more educated")
{txt}(0 real changes made)

{com}.         destring educ_elecpolbur, replace
{txt}educ_elecpolbur: all characters numeric; {res}replaced {txt}as {res}byte
{txt}(38 missing values generated)
{res}{txt}
{com}.         lab def educ_elecpolbur 1 "Bureaucrats much more educated" 2 "Bureaucrats slightly more educated" 3 "About the same" 4 "Politicians slightly more educated" 5 "Politicians much more educated"
{txt}
{com}.         lab val educ_elecpolbur educ_elecpolbur
{txt}
{com}.         
.         fre educ_elecpolbur
{res}
{txt}educ_elecpolbur {hline 2} More educated bureaucrat or politician (elec. politician)
{txt}{hline 44}{hline 1}{c TT}{hline 44}
{txt}        {txt}                                     {c |}      Freq.    Percent      Valid       Cum.
{txt}{hline 44}{hline 1}{c +}{hline 44}
{txt}Valid   1 Bureaucrats much more educated     {c |}{res}         13      21.31      56.52      56.52
{txt}        2 Bureaucrats slightly more educated {c |}{res}          6       9.84      26.09      82.61
{txt}        3 About the same                     {c |}{res}          4       6.56      17.39     100.00
{txt}        Total                                {c |}{res}         23      37.70     100.00           
{txt}Missing .                                    {c |}{res}         38      62.30                      
{txt}Total                                        {c |}{res}         61     100.00                      
{txt}{hline 44}{hline 1}{c BT}{hline 44}

{com}.         
.         gen test_educ_elecpolbur = (educ_elecpolbur != .)
{txt}
{com}.         replace test_educ_elecpolbur = . if asked_survey == 0 
{txt}(37 real changes made, 37 to missing)

{com}.         replace test_educ_elecpolbur = . if elecpol_ovrsee == 0
{txt}(1 real change made, 1 to missing)

{com}.         fre test_educ_elecpolbur
{res}
{txt}test_educ_elecpolbur
{txt}{hline 9}{hline 1}{c TT}{hline 44}
{txt}        {txt}  {c |}      Freq.    Percent      Valid       Cum.
{txt}{hline 9}{hline 1}{c +}{hline 44}
{txt}Valid   1 {c |}{res}         23      37.70     100.00     100.00
{txt}Missing . {c |}{res}         38      62.30                      
{txt}Total     {c |}{res}         61     100.00                      
{txt}{hline 9}{hline 1}{c BT}{hline 44}

{com}.         assert inlist(test_educ_elecpolbur,.,1)
{txt}
{com}.         
.         drop test_educ_elecpolbur
{txt}
{com}.         
.         * educ_apolbur
.         
.         lab var educ_apolbur "More educated bureaucrat or politician (app. politician) "
{txt}
{com}.         
.         fre educ_apolbur
{res}
{txt}educ_apolbur {hline 2} More educated bureaucrat or politician (app. politician) 
{txt}{hline 8}{hline 1}{c TT}{hline 44}
{txt}        {txt} {c |}      Freq.    Percent      Valid       Cum.
{txt}{hline 8}{hline 1}{c +}{hline 44}
{txt}Missing  {c |}{res}         61     100.00                      
{txt}{hline 8}{hline 1}{c BT}{hline 44}

{com}.         
.         replace educ_apolbur = "1" if regexm(educ_apolbur,"Bureaucrats much more educated")
{txt}(0 real changes made)

{com}.         replace educ_apolbur = "2" if regexm(educ_apolbur,"Bureaucrats slightly more educated")
{txt}(0 real changes made)

{com}.         replace educ_apolbur = "3" if regexm(educ_apolbur,"About the same")
{txt}(0 real changes made)

{com}.         replace educ_apolbur = "4" if regexm(educ_apolbur,"Politicians slightly more educated")
{txt}(0 real changes made)

{com}.         replace educ_apolbur = "5" if regexm(educ_apolbur,"Politicians much more educated")
{txt}(0 real changes made)

{com}.         destring educ_apolbur, replace
{txt}educ_apolbur: all characters numeric; {res}replaced {txt}as {res}byte
{txt}(61 missing values generated)
{res}{txt}
{com}.         lab def educ_apolbur 1 "Bureaucrats much more educated" 2 "Bureaucrats slightly more educated" 3 "About the same" 4 "Politicians slightly more educated" 5 "Politicians much more educated"
{txt}
{com}.         lab val educ_apolbur educ_apolbur
{txt}
{com}.         
.         fre educ_apolbur
{res}
{txt}educ_apolbur {hline 2} More educated bureaucrat or politician (app. politician) 
{txt}{hline 13}{hline 1}{c TT}{hline 44}
{txt}        {txt}      {c |}      Freq.    Percent      Valid       Cum.
{txt}{hline 13}{hline 1}{c +}{hline 44}
{txt}Missing .     {c |}{res}         61     100.00                      
{txt}{hline 13}{hline 1}{c BT}{hline 44}

{com}.         
.         gen test_educ_apolbur = (educ_apolbur != .)
{txt}
{com}.         replace test_educ_apolbur = . if asked_survey == 0
{txt}(37 real changes made, 37 to missing)

{com}.         replace test_educ_apolbur = . if aptpol_d == 0
{txt}(14 real changes made, 14 to missing)

{com}.         replace test_educ_apolbur = . if elecpol_ovrsee == 1 
{txt}(10 real changes made, 10 to missing)

{com}.         fre test_educ_apolbur
{res}
{txt}test_educ_apolbur
{txt}{hline 9}{hline 1}{c TT}{hline 44}
{txt}        {txt}  {c |}      Freq.    Percent      Valid       Cum.
{txt}{hline 9}{hline 1}{c +}{hline 44}
{txt}Missing . {c |}{res}         61     100.00                      
{txt}{hline 9}{hline 1}{c BT}{hline 44}

{com}.         assert inlist(test_educ_apolbur,.,1)
{txt}
{com}.         
.         drop test_educ_apolbur
{txt}
{com}.         
.         * slry_elecpolbur
.         
.         lab var slry_elecpolbur "Earning more bureaucrat or politician (elec. politician)"
{txt}
{com}.         
.         fre slry_elecpolbur
{res}
{txt}slry_elecpolbur {hline 2} Earning more bureaucrat or politician (elec. politician)
{txt}{hline 55}{hline 1}{c TT}{hline 44}
{txt}        {txt}                                                {c |}      Freq.    Percent      Valid       Cum.
{txt}{hline 55}{hline 1}{c +}{hline 44}
{txt}Valid   Both earn about the same                        {c |}{res}          4       6.56      17.39      17.39
{txt}        Bureaucrats earn much more than Politicians     {c |}{res}          5       8.20      21.74      39.13
{txt}        Bureaucrats earn slightly more than Politicians {c |}{res}          3       4.92      13.04      52.17
{txt}        Politicians earn much more than Bureaucrats     {c |}{res}          6       9.84      26.09      78.26
{txt}        Politicians earn slightly more than Bureaucrats {c |}{res}          5       8.20      21.74     100.00
{txt}        Total                                           {c |}{res}         23      37.70     100.00           
{txt}Missing                                                 {c |}{res}         38      62.30                      
{txt}Total                                                   {c |}{res}         61     100.00                      
{txt}{hline 55}{hline 1}{c BT}{hline 44}

{com}.         
.         replace slry_elecpolbur = "1" if regexm(slry_elecpolbur,"Bureaucrats earn much")
{txt}(5 real changes made)

{com}.         replace slry_elecpolbur = "2" if regexm(slry_elecpolbur,"Bureaucrats earn slightly")
{txt}(3 real changes made)

{com}.         replace slry_elecpolbur = "3" if regexm(slry_elecpolbur,"Both earn")
{txt}(4 real changes made)

{com}.         replace slry_elecpolbur = "4" if regexm(slry_elecpolbur,"Politicians earn slightly")
{txt}(5 real changes made)

{com}.         replace slry_elecpolbur = "5" if regexm(slry_elecpolbur,"Politicians earn much")
{txt}(6 real changes made)

{com}.         destring slry_elecpolbur, replace
{txt}slry_elecpolbur: all characters numeric; {res}replaced {txt}as {res}byte
{txt}(38 missing values generated)
{res}{txt}
{com}.         lab def slry_elecpolbur 1 "Bureaucrats earn much more" 2 "Bureaucrats earn slightly more" 3 "Both earn the same" 4 "Politicians earn slightly" 5 "Politicians earn much more"
{txt}
{com}.         lab val slry_elecpolbur slry_elecpolbur
{txt}
{com}.         
.         fre slry_elecpolbur
{res}
{txt}slry_elecpolbur {hline 2} Earning more bureaucrat or politician (elec. politician)
{txt}{hline 40}{hline 1}{c TT}{hline 44}
{txt}        {txt}                                 {c |}      Freq.    Percent      Valid       Cum.
{txt}{hline 40}{hline 1}{c +}{hline 44}
{txt}Valid   1 Bureaucrats earn much more     {c |}{res}          5       8.20      21.74      21.74
{txt}        2 Bureaucrats earn slightly more {c |}{res}          3       4.92      13.04      34.78
{txt}        3 Both earn the same             {c |}{res}          4       6.56      17.39      52.17
{txt}        4 Politicians earn slightly      {c |}{res}          5       8.20      21.74      73.91
{txt}        5 Politicians earn much more     {c |}{res}          6       9.84      26.09     100.00
{txt}        Total                            {c |}{res}         23      37.70     100.00           
{txt}Missing .                                {c |}{res}         38      62.30                      
{txt}Total                                    {c |}{res}         61     100.00                      
{txt}{hline 40}{hline 1}{c BT}{hline 44}

{com}.         
.         gen test_slry_elecpolbur = (slry_elecpolbur != .)
{txt}
{com}.         replace test_slry_elecpolbur = . if asked_survey == 0 
{txt}(37 real changes made, 37 to missing)

{com}.         replace test_slry_elecpolbur = . if elecpol_ovrsee == 0
{txt}(1 real change made, 1 to missing)

{com}.         fre test_slry_elecpolbur
{res}
{txt}test_slry_elecpolbur
{txt}{hline 9}{hline 1}{c TT}{hline 44}
{txt}        {txt}  {c |}      Freq.    Percent      Valid       Cum.
{txt}{hline 9}{hline 1}{c +}{hline 44}
{txt}Valid   1 {c |}{res}         23      37.70     100.00     100.00
{txt}Missing . {c |}{res}         38      62.30                      
{txt}Total     {c |}{res}         61     100.00                      
{txt}{hline 9}{hline 1}{c BT}{hline 44}

{com}.         assert inlist(test_slry_elecpolbur,.,1)
{txt}
{com}.         
.         drop test_slry_elecpolbur
{txt}
{com}.         
.         * slry_apolbur
.         
.         lab var slry_apolbur "Earning more bureaucrat or politician (app. politician)"
{txt}
{com}.         
.         fre slry_apolbur
{res}
{txt}slry_apolbur {hline 2} Earning more bureaucrat or politician (app. politician)
{txt}{hline 8}{hline 1}{c TT}{hline 44}
{txt}        {txt} {c |}      Freq.    Percent      Valid       Cum.
{txt}{hline 8}{hline 1}{c +}{hline 44}
{txt}Missing  {c |}{res}         61     100.00                      
{txt}{hline 8}{hline 1}{c BT}{hline 44}

{com}.         
.         replace slry_apolbur = "1" if regexm(slry_apolbur,"Bureaucrats earn much")
{txt}(0 real changes made)

{com}.         replace slry_apolbur = "2" if regexm(slry_apolbur,"Bureaucrats earn slightly")
{txt}(0 real changes made)

{com}.         replace slry_apolbur = "3" if regexm(slry_apolbur,"Both earn")
{txt}(0 real changes made)

{com}.         replace slry_apolbur = "4" if regexm(slry_apolbur,"Politicians earn slightly")
{txt}(0 real changes made)

{com}.         replace slry_apolbur = "5" if regexm(slry_apolbur,"Politicians earn much")
{txt}(0 real changes made)

{com}.         destring slry_apolbur, replace
{txt}slry_apolbur: all characters numeric; {res}replaced {txt}as {res}byte
{txt}(61 missing values generated)
{res}{txt}
{com}.         lab def slry_apolbur 1 "Bureaucrats earn much more" 2 "Bureaucrats earn slightly more" 3 "Both earn the same" 4 "Politicians earn slightly" 5 "Politicians earn much more"
{txt}
{com}.         lab val slry_apolbur slry_apolbur
{txt}
{com}.         
.         fre slry_apolbur
{res}
{txt}slry_apolbur {hline 2} Earning more bureaucrat or politician (app. politician)
{txt}{hline 13}{hline 1}{c TT}{hline 44}
{txt}        {txt}      {c |}      Freq.    Percent      Valid       Cum.
{txt}{hline 13}{hline 1}{c +}{hline 44}
{txt}Missing .     {c |}{res}         61     100.00                      
{txt}{hline 13}{hline 1}{c BT}{hline 44}

{com}.         
.         gen test_slry_apolbur = (slry_apolbur != .)
{txt}
{com}.         replace test_slry_apolbur = . if asked_survey == 0
{txt}(37 real changes made, 37 to missing)

{com}.         replace test_slry_apolbur = . if aptpol_d == 0
{txt}(14 real changes made, 14 to missing)

{com}.         replace test_slry_apolbur = . if elecpol_ovrsee == 1 
{txt}(10 real changes made, 10 to missing)

{com}.         fre test_slry_apolbur
{res}
{txt}test_slry_apolbur
{txt}{hline 9}{hline 1}{c TT}{hline 44}
{txt}        {txt}  {c |}      Freq.    Percent      Valid       Cum.
{txt}{hline 9}{hline 1}{c +}{hline 44}
{txt}Missing . {c |}{res}         61     100.00                      
{txt}{hline 9}{hline 1}{c BT}{hline 44}

{com}.         assert inlist(test_slry_apolbur,.,1)
{txt}
{com}.         
.         drop test_slry_apolbur
{txt}
{com}.         
.         * We merge the payment module
.         
.         merge m:1 responseid using "`payment_module'"
{res}
{txt}{col 5}Result{col 38}# of obs.
{col 5}{hline 41}
{col 5}not matched{col 30}{res}               0
{txt}{col 5}matched{col 30}{res}              61{txt}  (_merge==3)
{col 5}{hline 41}

{com}.         drop _merge
{txt}
{com}.         order donate_d org_donation_id paid_status, after(duration_minutes)
{txt}
{com}.         
.         * fdout_epol_bgt
.         
.         lab var fdout_epol_bgt "Easy to find out about envelop (elec. politician)"
{txt}
{com}.         
.         fre fdout_epol_bgt
{res}
{txt}fdout_epol_bgt {hline 2} Easy to find out about envelop (elec. politician)
{txt}{hline 26}{hline 1}{c TT}{hline 44}
{txt}        {txt}                   {c |}      Freq.    Percent      Valid       Cum.
{txt}{hline 26}{hline 1}{c +}{hline 44}
{txt}Valid   Somewhat difficult {c |}{res}          3       4.92      13.04      13.04
{txt}        Somewhat easy      {c |}{res}          6       9.84      26.09      39.13
{txt}        Very easy          {c |}{res}         14      22.95      60.87     100.00
{txt}        Total              {c |}{res}         23      37.70     100.00           
{txt}Missing                    {c |}{res}         38      62.30                      
{txt}Total                      {c |}{res}         61     100.00                      
{txt}{hline 26}{hline 1}{c BT}{hline 44}

{com}.         
.         replace fdout_epol_bgt = "1" if regexm(fdout_epol_bgt,"Very easy")
{txt}(14 real changes made)

{com}.         replace fdout_epol_bgt = "2" if regexm(fdout_epol_bgt,"Somewhat easy")
{txt}(6 real changes made)

{com}.         replace fdout_epol_bgt = "3" if regexm(fdout_epol_bgt,"Somewhat difficult")
{txt}(3 real changes made)

{com}.         replace fdout_epol_bgt = "4" if regexm(fdout_epol_bgt,"Very difficult")
{txt}(0 real changes made)

{com}.         replace fdout_epol_bgt = "5" if regexm(fdout_epol_bgt,"Not applicable")
{txt}(0 real changes made)

{com}.         replace fdout_epol_bgt = "6" if regexm(fdout_epol_bgt,"Do not know")
{txt}(0 real changes made)

{com}.         
.         destring fdout_epol_bgt, replace
{txt}fdout_epol_bgt: all characters numeric; {res}replaced {txt}as {res}byte
{txt}(38 missing values generated)
{res}{txt}
{com}.         lab def fdout_epol_bgt 1 "Very easy" 2 "Somewhat easy" 3 "Somewhat difficult" 4 "Very difficult" 5 "Not applicable, this level of government has no spending power" 6 "Do not know / Refuse to answer"
{txt}
{com}.         lab val fdout_epol_bgt fdout_epol_bgt
{txt}
{com}.         
.         fre fdout_epol_bgt
{res}
{txt}fdout_epol_bgt {hline 2} Easy to find out about envelop (elec. politician)
{txt}{hline 28}{hline 1}{c TT}{hline 44}
{txt}        {txt}                     {c |}      Freq.    Percent      Valid       Cum.
{txt}{hline 28}{hline 1}{c +}{hline 44}
{txt}Valid   1 Very easy          {c |}{res}         14      22.95      60.87      60.87
{txt}        2 Somewhat easy      {c |}{res}          6       9.84      26.09      86.96
{txt}        3 Somewhat difficult {c |}{res}          3       4.92      13.04     100.00
{txt}        Total                {c |}{res}         23      37.70     100.00           
{txt}Missing .                    {c |}{res}         38      62.30                      
{txt}Total                        {c |}{res}         61     100.00                      
{txt}{hline 28}{hline 1}{c BT}{hline 44}

{com}.         
.         gen test_fdout_epol_bgt = (fdout_epol_bgt != .)
{txt}
{com}.         replace test_fdout_epol_bgt = . if asked_survey == 0 
{txt}(37 real changes made, 37 to missing)

{com}.         replace test_fdout_epol_bgt = . if elecpol_ovrsee == 0
{txt}(1 real change made, 1 to missing)

{com}.         fre test_fdout_epol_bgt
{res}
{txt}test_fdout_epol_bgt
{txt}{hline 9}{hline 1}{c TT}{hline 44}
{txt}        {txt}  {c |}      Freq.    Percent      Valid       Cum.
{txt}{hline 9}{hline 1}{c +}{hline 44}
{txt}Valid   1 {c |}{res}         23      37.70     100.00     100.00
{txt}Missing . {c |}{res}         38      62.30                      
{txt}Total     {c |}{res}         61     100.00                      
{txt}{hline 9}{hline 1}{c BT}{hline 44}

{com}.         assert inlist(test_fdout_epol_bgt,.,1)
{txt}
{com}.         
.         drop test_fdout_epol_bgt
{txt}
{com}.         
.         * fdout_apol_bgt
.         
.         lab var fdout_apol_bgt "Easy to find out about envelop (app. politician)"
{txt}
{com}.         
.         fre fdout_apol_bgt
{res}
{txt}fdout_apol_bgt {hline 2} Easy to find out about envelop (app. politician)
{txt}{hline 8}{hline 1}{c TT}{hline 44}
{txt}        {txt} {c |}      Freq.    Percent      Valid       Cum.
{txt}{hline 8}{hline 1}{c +}{hline 44}
{txt}Missing  {c |}{res}         61     100.00                      
{txt}{hline 8}{hline 1}{c BT}{hline 44}

{com}.         
.         replace fdout_apol_bgt = "1" if regexm(fdout_apol_bgt,"Very easy")
{txt}(0 real changes made)

{com}.         replace fdout_apol_bgt = "2" if regexm(fdout_apol_bgt,"Somewhat easy")
{txt}(0 real changes made)

{com}.         replace fdout_apol_bgt = "3" if regexm(fdout_apol_bgt,"Somewhat difficult")
{txt}(0 real changes made)

{com}.         replace fdout_apol_bgt = "4" if regexm(fdout_apol_bgt,"Very difficult")
{txt}(0 real changes made)

{com}.         replace fdout_apol_bgt = "5" if regexm(fdout_apol_bgt,"Not applicable")
{txt}(0 real changes made)

{com}.         replace fdout_apol_bgt = "6" if regexm(fdout_apol_bgt,"Do not know")
{txt}(0 real changes made)

{com}.         
.         destring fdout_apol_bgt, replace
{txt}fdout_apol_bgt: all characters numeric; {res}replaced {txt}as {res}byte
{txt}(61 missing values generated)
{res}{txt}
{com}.         lab def fdout_apol_bgt 1 "Very easy" 2 "Somewhat easy" 3 "Somewhat difficult" 4 "Very difficult" 5 "Not applicable, this level of government has no spending power" 6 "Do not know / Refuse to answer"
{txt}
{com}.         lab val fdout_apol_bgt fdout_apol_bgt
{txt}
{com}.         
.         fre fdout_apol_bgt
{res}
{txt}fdout_apol_bgt {hline 2} Easy to find out about envelop (app. politician)
{txt}{hline 13}{hline 1}{c TT}{hline 44}
{txt}        {txt}      {c |}      Freq.    Percent      Valid       Cum.
{txt}{hline 13}{hline 1}{c +}{hline 44}
{txt}Missing .     {c |}{res}         61     100.00                      
{txt}{hline 13}{hline 1}{c BT}{hline 44}

{com}.         
.         gen test_fdout_apol_bgt = (fdout_apol_bgt != .)
{txt}
{com}.         replace test_fdout_apol_bgt = . if asked_survey == 0
{txt}(37 real changes made, 37 to missing)

{com}.         replace test_fdout_apol_bgt = . if aptpol_d == 0
{txt}(14 real changes made, 14 to missing)

{com}.         replace test_fdout_apol_bgt = . if elecpol_ovrsee == 1 
{txt}(10 real changes made, 10 to missing)

{com}.         fre test_fdout_apol_bgt
{res}
{txt}test_fdout_apol_bgt
{txt}{hline 9}{hline 1}{c TT}{hline 44}
{txt}        {txt}  {c |}      Freq.    Percent      Valid       Cum.
{txt}{hline 9}{hline 1}{c +}{hline 44}
{txt}Missing . {c |}{res}         61     100.00                      
{txt}{hline 9}{hline 1}{c BT}{hline 44}

{com}.         assert inlist(test_fdout_apol_bgt,.,1)
{txt}
{com}.         
.         drop test_fdout_apol_bgt
{txt}
{com}.         
.         * budsect_epol
.         
.         lab var budsect_epol "Find about budget allocation to sectors (elec. politician)"
{txt}
{com}.         
.         fre budsect_epol
{res}
{txt}budsect_epol {hline 2} Find about budget allocation to sectors (elec. politician)
{txt}{hline 26}{hline 1}{c TT}{hline 44}
{txt}        {txt}                   {c |}      Freq.    Percent      Valid       Cum.
{txt}{hline 26}{hline 1}{c +}{hline 44}
{txt}Valid   Somewhat difficult {c |}{res}          2       3.28       8.70       8.70
{txt}        Somewhat easy      {c |}{res}          4       6.56      17.39      26.09
{txt}        Very difficult     {c |}{res}          1       1.64       4.35      30.43
{txt}        Very easy          {c |}{res}          9      14.75      39.13      69.57
{txt}        Somewhat easy      {c |}{res}          1       1.64       4.35      73.91
{txt}        Very easy          {c |}{res}          6       9.84      26.09     100.00
{txt}        Total              {c |}{res}         23      37.70     100.00           
{txt}Missing                    {c |}{res}         38      62.30                      
{txt}Total                      {c |}{res}         61     100.00                      
{txt}{hline 26}{hline 1}{c BT}{hline 44}

{com}.         
.         replace budsect_epol = "1" if regexm(budsect_epol,"Very easy")
{txt}(15 real changes made)

{com}.         replace budsect_epol = "2" if regexm(budsect_epol,"Somewhat easy")
{txt}(5 real changes made)

{com}.         replace budsect_epol = "3" if regexm(budsect_epol,"Somewhat difficult")
{txt}(2 real changes made)

{com}.         replace budsect_epol = "4" if regexm(budsect_epol,"Very difficult")
{txt}(1 real change made)

{com}.         replace budsect_epol = "5" if regexm(budsect_epol,"Not applicable")
{txt}(0 real changes made)

{com}.         replace budsect_epol = "6" if regexm(budsect_epol,"Do not know")
{txt}(0 real changes made)

{com}.         
.         destring budsect_epol, replace
{txt}budsect_epol: all characters numeric; {res}replaced {txt}as {res}byte
{txt}(38 missing values generated)
{res}{txt}
{com}.         lab def budsect_epol 1 "Very easy" 2 "Somewhat easy" 3 "Somewhat difficult" 4 "Very difficult" 5 "Not applicable, this level of government has no spending power" 6 "Do not know / Refuse to answer"
{txt}
{com}.         lab val budsect_epol budsect_epol
{txt}
{com}.         
.         fre budsect_epol
{res}
{txt}budsect_epol {hline 2} Find about budget allocation to sectors (elec. politician)
{txt}{hline 28}{hline 1}{c TT}{hline 44}
{txt}        {txt}                     {c |}      Freq.    Percent      Valid       Cum.
{txt}{hline 28}{hline 1}{c +}{hline 44}
{txt}Valid   1 Very easy          {c |}{res}         15      24.59      65.22      65.22
{txt}        2 Somewhat easy      {c |}{res}          5       8.20      21.74      86.96
{txt}        3 Somewhat difficult {c |}{res}          2       3.28       8.70      95.65
{txt}        4 Very difficult     {c |}{res}          1       1.64       4.35     100.00
{txt}        Total                {c |}{res}         23      37.70     100.00           
{txt}Missing .                    {c |}{res}         38      62.30                      
{txt}Total                        {c |}{res}         61     100.00                      
{txt}{hline 28}{hline 1}{c BT}{hline 44}

{com}.         
.         gen test_budsect_epol = (budsect_epol != .)
{txt}
{com}.         replace test_budsect_epol = . if asked_survey == 0 
{txt}(37 real changes made, 37 to missing)

{com}.         replace test_budsect_epol = . if elecpol_ovrsee == 0
{txt}(1 real change made, 1 to missing)

{com}.         fre test_budsect_epol
{res}
{txt}test_budsect_epol
{txt}{hline 9}{hline 1}{c TT}{hline 44}
{txt}        {txt}  {c |}      Freq.    Percent      Valid       Cum.
{txt}{hline 9}{hline 1}{c +}{hline 44}
{txt}Valid   1 {c |}{res}         23      37.70     100.00     100.00
{txt}Missing . {c |}{res}         38      62.30                      
{txt}Total     {c |}{res}         61     100.00                      
{txt}{hline 9}{hline 1}{c BT}{hline 44}

{com}.         assert inlist(test_budsect_epol,.,1)
{txt}
{com}.         
.         drop test_budsect_epol
{txt}
{com}.         
.         * budsect_apol
.         
.         lab var budsect_apol "Find about budget allocation to sectors (app. politician)"
{txt}
{com}.         
.         fre budsect_apol
{res}
{txt}budsect_apol {hline 2} Find about budget allocation to sectors (app. politician)
{txt}{hline 8}{hline 1}{c TT}{hline 44}
{txt}        {txt} {c |}      Freq.    Percent      Valid       Cum.
{txt}{hline 8}{hline 1}{c +}{hline 44}
{txt}Missing  {c |}{res}         61     100.00                      
{txt}{hline 8}{hline 1}{c BT}{hline 44}

{com}.         
.         replace budsect_apol = "1" if regexm(budsect_apol,"Very easy")
{txt}(0 real changes made)

{com}.         replace budsect_apol = "2" if regexm(budsect_apol,"Somewhat easy")
{txt}(0 real changes made)

{com}.         replace budsect_apol = "3" if regexm(budsect_apol,"Somewhat difficult")
{txt}(0 real changes made)

{com}.         replace budsect_apol = "4" if regexm(budsect_apol,"Very difficult")
{txt}(0 real changes made)

{com}.         replace budsect_apol = "5" if regexm(budsect_apol,"Not applicable")
{txt}(0 real changes made)

{com}.         replace budsect_apol = "6" if regexm(budsect_apol,"Do not know")
{txt}(0 real changes made)

{com}.         
.         destring budsect_apol, replace
{txt}budsect_apol: all characters numeric; {res}replaced {txt}as {res}byte
{txt}(61 missing values generated)
{res}{txt}
{com}.         lab def budsect_apol 1 "Very easy" 2 "Somewhat easy" 3 "Somewhat difficult" 4 "Very difficult" 5 "Not applicable, this level of government has no spending power" 6 "Do not know / Refuse to answer"
{txt}
{com}.         lab val budsect_apol budsect_apol
{txt}
{com}.         
.         fre budsect_apol
{res}
{txt}budsect_apol {hline 2} Find about budget allocation to sectors (app. politician)
{txt}{hline 13}{hline 1}{c TT}{hline 44}
{txt}        {txt}      {c |}      Freq.    Percent      Valid       Cum.
{txt}{hline 13}{hline 1}{c +}{hline 44}
{txt}Missing .     {c |}{res}         61     100.00                      
{txt}{hline 13}{hline 1}{c BT}{hline 44}

{com}.         
.         gen test_budsect_apol = (budsect_apol != .)
{txt}
{com}.         replace test_budsect_apol = . if asked_survey == 0
{txt}(37 real changes made, 37 to missing)

{com}.         replace test_budsect_apol = . if aptpol_d == 0
{txt}(14 real changes made, 14 to missing)

{com}.         replace test_budsect_apol = . if elecpol_ovrsee == 1 
{txt}(10 real changes made, 10 to missing)

{com}.         fre test_budsect_apol
{res}
{txt}test_budsect_apol
{txt}{hline 9}{hline 1}{c TT}{hline 44}
{txt}        {txt}  {c |}      Freq.    Percent      Valid       Cum.
{txt}{hline 9}{hline 1}{c +}{hline 44}
{txt}Missing . {c |}{res}         61     100.00                      
{txt}{hline 9}{hline 1}{c BT}{hline 44}

{com}.         assert inlist(test_budsect_apol,.,1)
{txt}
{com}.         
.         drop test_budsect_apol
{txt}
{com}.         
.         
.         e

{txt}end of do-file


{com}. do "/Users/fredericcochinard/Dropbox/Expert survey/Code/2.importing_data.do"
{txt}
{com}. 
.         * Purpose: Importing data to run HFC
.         
.         * Setting up globals
.         
.         if "`c(username)'" == "fredericcochinard" {c -(}
.                 
.                 global import_folder "/Users/fredericcochinard/Dropbox/Expert survey/Data/0.survey_dataset/0.import"
.                 global output "/Users/fredericcochinard/Dropbox/Expert survey/Data/0.survey_dataset/1.output"
.                 
.                 {c )-}
{txt}
{com}.                 
.         if "`c(username)'" == "" {c -(}
.         
.                 
.                 {c )-}
{txt}
{com}.         
.         * Looking for renaming folder with problem
.         
.         local myfiles: dir "$import_folder" files "*.xlsx"
{txt}
{com}. 
.         foreach file of local myfiles {c -(}
{txt}  2{com}.                 
.                 local subfile = substr("`file'", 1, .)
{txt}  3{com}.                 local subfile : subinstr local subfile " " "_", all
{txt}  4{com}.                 ! mv "${c -(}import_folder{c )-}/`file'" "${c -(}import_folder{c )-}/`subfile'"
{txt}  5{com}.                 
.                 {c )-}
{txt}

{com}.         
.         * Looking for dataset
.         
.         filelist , dir("$import_folder") pat("*.xlsx")
{res}{txt}Number of files found = {res}1
{txt}
{com}.         
.         gen url = filename
{txt}
{com}.         
.         levelsof url
{txt}`"Expert_survey_February_18,_2025_16.23.xlsx"'

{com}. 
.         local lvlfiles `r(levels)'
{txt}
{com}.         
.         local z = 0
{txt}
{com}.         
.         foreach lvl of local lvlfiles {c -(}
{txt}  2{com}.         
.                 local z = `z' + 1
{txt}  3{com}.                 
.                 local temp : subinstr local lvl `"""' "", all
{txt}  4{com}.                 local url : subinstr local temp "'" "", all
{txt}  5{com}.         
.                 import excel "${c -(}import_folder{c )-}/`url'", first case(lower) clear
{txt}  6{com}.                 
.                 gen num = _n
{txt}  7{com}.                 drop if num == 1
{txt}  8{com}.                 
.                 * Preparing the append
.                 
.                 tempfile data`z'
{txt}  9{com}.                 sa "`data`z''"
{txt} 10{com}.                 
.                 {c )-}
{res}{txt}(1 observation deleted)
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.000001 saved

{com}.                 
.         * We append the dataset to start cleaning
.         
.         use "`data1'", clear
{txt}
{com}.         
.         forvalues x = 2/`z' {c -(}
{txt}  2{com}.         
.                 append using "`data`x''"
{txt}  3{com}.                 
.                 {c )-}
{txt}
{com}.                 
.         duplicates drop

{p 0 4}{txt}Duplicates in terms of {txt} all variables{p_end}

(0 observations are duplicates)

{com}.         
.         * We keep relevant variable
.         drop if recipientemail == "frederic.cochinard@gmail.com"
{txt}(8 observations deleted)

{com}.         drop if recipientemail == "vedpant+spanish@college.harvard.edu"
{txt}(1 observation deleted)

{com}.         drop if recipientemail == "frederic.cochinard+3@gmail.com"
{txt}(1 observation deleted)

{com}.         drop if recipientemail == "frederic.cochinard+1@gmail.com"
{txt}(1 observation deleted)

{com}.         
.         * We remove observation that are not finished
.         drop if finished == "False"
{txt}(9 observations deleted)

{com}.         
.         * We create a save
.         
.         tempfile save_data
{txt}
{com}.         sa "`save_data'"
{txt}file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.000002 saved

{com}.         
.         ******************
.         * Payment module *
.         ******************
.         
.         preserve
{txt}
{com}.         
.         keep responseid method_pay_bank_in_q-q977
{txt}
{com}.         compress
  {txt}variable {bf}method_pay_bank_in_q{sf} was {bf}{res}str237{sf}{txt} now {bf}{res}str24{sf}
  {txt}variable {bf}expert_donation_org{sf} was {bf}{res}str129{sf}{txt} now {bf}{res}str23{sf}
  {txt}variable {bf}q967{sf} was {bf}{res}str236{sf}{txt} now {bf}{res}str65{sf}
  {txt}variable {bf}q978{sf} was {bf}{res}str326{sf}{txt} now {bf}{res}str16{sf}
  {txt}variable {bf}q979{sf} was {bf}{res}str104{sf}{txt} now {bf}{res}str39{sf}
  {txt}variable {bf}q980{sf} was {bf}{res}str95{sf}{txt} now {bf}{res}str11{sf}
  {txt}variable {bf}q987{sf} was {bf}{res}str170{sf}{txt} now {bf}{res}str24{sf}
  {txt}variable {bf}q984{sf} was {bf}{res}str326{sf}{txt} now {bf}{res}str1{sf}
  {txt}variable {bf}q985{sf} was {bf}{res}str104{sf}{txt} now {bf}{res}str1{sf}
  {txt}variable {bf}q986{sf} was {bf}{res}str95{sf}{txt} now {bf}{res}str1{sf}
  {txt}variable {bf}q988{sf} was {bf}{res}str170{sf}{txt} now {bf}{res}str1{sf}
  {txt}variable {bf}q989{sf} was {bf}{res}str559{sf}{txt} now {bf}{res}str1{sf}
  {txt}variable {bf}q990{sf} was {bf}{res}str102{sf}{txt} now {bf}{res}str1{sf}
  {txt}variable {bf}q991{sf} was {bf}{res}str93{sf}{txt} now {bf}{res}str1{sf}
  {txt}variable {bf}q992{sf} was {bf}{res}str170{sf}{txt} now {bf}{res}str1{sf}
  {txt}variable {bf}q998{sf} was {bf}{res}str537{sf}{txt} now {bf}{res}str1{sf}
  {txt}variable {bf}q997{sf} was {bf}{res}str105{sf}{txt} now {bf}{res}str1{sf}
  {txt}variable {bf}q999{sf} was {bf}{res}str104{sf}{txt} now {bf}{res}str1{sf}
  {txt}variable {bf}q1000{sf} was {bf}{res}str95{sf}{txt} now {bf}{res}str1{sf}
  {txt}variable {bf}q1001{sf} was {bf}{res}str170{sf}{txt} now {bf}{res}str1{sf}
  {txt}variable {bf}q977{sf} was {bf}{res}str502{sf}{txt} now {bf}{res}str23{sf}
{txt}  (46,101 bytes saved)

{com}.         
.         * Donate_d
.         
.         gen donate_d = 0
{txt}
{com}.         replace donate_d = 1 if method_pay_bank_in_q == "I prefer to donate"
{txt}(3 real changes made)

{com}.         
.         * Special case
.         replace donate_d = 1 if responseid == "R_4ouc7tR6BFj3gpb" // respondent is refusing to take money in comments
{txt}(1 real change made)

{com}.         replace donate_d = 1 if responseid == "R_4Iow7YzsoT2KTOx" // respondent is writing cancel in comments
{txt}(1 real change made)

{com}.         
.         lab var donate_d "Respondent decided to donate"
{txt}
{com}.         lab def donate_d 0 "No" 1 "Yes"
{txt}
{com}.         lab val donate_d donate_d
{txt}
{com}.         order donate_d, after(responseid)
{txt}
{com}.         
.         * Org
.         
.         gen org_donation_id = "" 
{txt}(11 missing values generated)

{com}.         replace org_donation_id = expert_donation_org if donate_d == 1
{txt}variable {bf}org_donation_id{sf} was {bf}{res}str1{sf}{txt} now {bf}{res}str23{sf}
{txt}(3 real changes made)

{com}.         replace org_donation_id = "No choice" if donate_d == 1 & org_donation_id == ""
{txt}(2 real changes made)

{com}.         lab var org_donation_id "Name of the organization the respondent chose to donate"
{txt}
{com}.         order org_donation_id, after(donate_d)
{txt}
{com}.         
.         * Paid status
.         
.         gen paid_status = 0
{txt}
{com}.         replace paid_status = 2 if donate_d == 1
{txt}(5 real changes made)

{com}.         
.         * Case of payment
.         
.         lab var paid_status "Status of payment of the respondent"
{txt}
{com}.         lab def paid_status 0 "Not yet" 1 "Yes" 2 "Donation"
{txt}
{com}.         lab val paid_status paid_status
{txt}
{com}.         order paid_status, after(org_donation_id)
{txt}
{com}.         
.         keep responseid donate_d org_donation_id paid_status
{txt}
{com}.         
.         tempfile payment_module
{txt}
{com}.         sa "`payment_module'"
{txt}file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.000004 saved

{com}.         
.         restore
{txt}
{com}.         
.         * Main form of survey 
.         keep country full_name recipientemail responseid progress durationinseconds finished userlanguage num_unit confirmation_* ///
>         title_bur* elecpol_ovrsee* title_elecpol* aptpol_d* title_aptpol* who_aptpol* mostinf_servdel* educ_elecpolbur* ///
>         educ_apolbur* slry_elecpolbur* slry_apolbur* fdout_epol_bgt* fdout_apol_bgt* budsect_epol* budsect_apol* acinfexp_epol* /// 
>         acinfexp_apol* understand_epol* understand_apol* acttake_epol* acttake_epol* acttake_apol* acttake_apol* likely* why_likchan* /// 
>         who_apt_bur* who_apt_bur* who_fir_bur* who_fir_bur* ocap_epol* ocap_apol* prio_epol* prio_apol* overall_conf* avg_educ_epol* ///
>         avg_educ_apol* avg_educ_buro* avg_slry_epol* avg_slry_apol* avg_slry_buro* //
{txt}
{com}.         
.         destring durationinseconds progress, replace
{txt}durationinseconds: all characters numeric; {res}replaced {txt}as {res}int
{txt}progress: all characters numeric; {res}replaced {txt}as {res}byte
{txt}
{com}.         replace durationinseconds = round(durationinseconds/60)
{txt}(11 real changes made)

{com}.         ren durationinseconds duration_minutes
{res}{txt}
{com}. 
.         *--
.         
.         local id country full_name recipientemail responseid userlanguage num_unit finished progress duration_minutes
{txt}
{com}.         
.         order `id', first
{txt}
{com}.         duplicates drop `id', force

{p 0 4}{txt}Duplicates in terms of {res} country full_name recipientemail responseid userlanguage num_unit finished progress duration_minutes{p_end}

{txt}(0 observations are duplicates)

{com}.         
.         * Renaming others
.         
.         forvalues x = 1/3 {c -(}
{txt}  2{com}.                 
.                 forvalues y = 1/6 {c -(} 
{txt}  3{com}.                 
.                         cap ren who_apt_bur_`x'_`y'_8_text who_apt_buroth_`x'_`y'
{txt}  4{com}.                         cap ren who_fir_bur_`x'_`y'_8_text who_fir_buroth_`x'_`y'
{txt}  5{com}.                         cap ren acttake_epol_`x'_`y'_9_text acttake_epoloth_`x'_`y'
{txt}  6{com}.                         cap ren acttake_apol_`x'_`y'_9_text acttake_apoloth_`x'_`y'
{txt}  7{com}.                         
.                         {c )-}
{txt}  8{com}.                         
.                 {c )-}
{txt}
{com}.         
.         #delimit ;
{txt}delimiter now ;
{com}.         local var confirmation
>         title_bur 
>         elecpol_ovrsee
>         title_elecpol
>         aptpol_d
>         title_aptpol
>         who_aptpol
>         mostinf_servdel
>         educ_elecpolbur
>         educ_apolbur
>         slry_elecpolbur
>         slry_apolbur
>         fdout_epol_bgt
>         fdout_apol_bgt
>         budsect_epol
>         budsect_apol
>         acinfexp_epol
>         acinfexp_apol
>         understand_epol
>         understand_apol
>         acttake_epol
>         acttake_epoloth
>         acttake_apol
>         acttake_apoloth
>         likely
>         why_likchan
>         who_apt_bur
>         who_apt_buroth
>         who_fir_bur
>         who_fir_buroth
>         ocap_epol
>         ocap_apol
>         prio_epol
>         prio_apol
>         overall_conf
>         avg_educ_epol
>         avg_educ_apol
>         avg_educ_buro
>         avg_slry_epol
>         avg_slry_apol
>         avg_slry_buro
>         
>         ;
{txt}
{com}.                 #delimit cr
{txt}delimiter now cr
{com}. 
.         reshape long `var', i(`id') j(pos) s
{txt}(note: j = _1_1 _1_4 _1_5 _1_6 _2_1 _2_2 _2_4 _2_5 _2_6 _3_1 _3_2 _3_3 _3_4 _3_5 _3_6)
(note: confirmation_1_4 not found)
(note: confirmation_1_5 not found)
(note: confirmation_1_6 not found)
(note: confirmation_2_4 not found)
(note: confirmation_2_5 not found)
(note: confirmation_2_6 not found)
(note: confirmation_3_4 not found)
(note: confirmation_3_5 not found)
(note: confirmation_3_6 not found)

Data{col 36}wide{col 43}->{col 48}long
{hline 77}
Number of obs.                 {res}      11   {txt}->{res}     165
{txt}Number of variables            {res}     615   {txt}->{res}      51
{txt}j variable (15 values)                    ->   {res}pos
{txt}xij variables:
{res}confirmation_1_1 confirmation_1_4 ... confirmation_3_6{txt}->{res}confirmation
title_bur_1_1 title_bur_1_4 ... title_bur_3_6{txt}->{res}title_bur
elecpol_ovrsee_1_1 elecpol_ovrsee_1_4 ... elecpol_ovrsee_3_6{txt}->{res}elecpol_ovrsee
title_elecpol_1_1 title_elecpol_1_4 ... title_elecpol_3_6{txt}->{res}title_elecpol
aptpol_d_1_1 aptpol_d_1_4 ... aptpol_d_3_6{txt}->   {res}aptpol_d
title_aptpol_1_1 title_aptpol_1_4 ... title_aptpol_3_6{txt}->{res}title_aptpol
who_aptpol_1_1 who_aptpol_1_4 ... who_aptpol_3_6{txt}->{res}who_aptpol
mostinf_servdel_1_1 mostinf_servdel_1_4 ... mostinf_servdel_3_6{txt}->{res}mostinf_servdel
educ_elecpolbur_1_1 educ_elecpolbur_1_4 ... educ_elecpolbur_3_6{txt}->{res}educ_elecpolbur
educ_apolbur_1_1 educ_apolbur_1_4 ... educ_apolbur_3_6{txt}->{res}educ_apolbur
slry_elecpolbur_1_1 slry_elecpolbur_1_4 ... slry_elecpolbur_3_6{txt}->{res}slry_elecpolbur
slry_apolbur_1_1 slry_apolbur_1_4 ... slry_apolbur_3_6{txt}->{res}slry_apolbur
fdout_epol_bgt_1_1 fdout_epol_bgt_1_4 ... fdout_epol_bgt_3_6{txt}->{res}fdout_epol_bgt
fdout_apol_bgt_1_1 fdout_apol_bgt_1_4 ... fdout_apol_bgt_3_6{txt}->{res}fdout_apol_bgt
budsect_epol_1_1 budsect_epol_1_4 ... budsect_epol_3_6{txt}->{res}budsect_epol
budsect_apol_1_1 budsect_apol_1_4 ... budsect_apol_3_6{txt}->{res}budsect_apol
acinfexp_epol_1_1 acinfexp_epol_1_4 ... acinfexp_epol_3_6{txt}->{res}acinfexp_epol
acinfexp_apol_1_1 acinfexp_apol_1_4 ... acinfexp_apol_3_6{txt}->{res}acinfexp_apol
understand_epol_1_1 understand_epol_1_4 ... understand_epol_3_6{txt}->{res}understand_epol
understand_apol_1_1 understand_apol_1_4 ... understand_apol_3_6{txt}->{res}understand_apol
acttake_epol_1_1 acttake_epol_1_4 ... acttake_epol_3_6{txt}->{res}acttake_epol
acttake_epoloth_1_1 acttake_epoloth_1_4 ... acttake_epoloth_3_6{txt}->{res}acttake_epoloth
acttake_apol_1_1 acttake_apol_1_4 ... acttake_apol_3_6{txt}->{res}acttake_apol
acttake_apoloth_1_1 acttake_apoloth_1_4 ... acttake_apoloth_3_6{txt}->{res}acttake_apoloth
   likely_1_1 likely_1_4 ... likely_3_6   {txt}->   {res}likely
why_likchan_1_1 why_likchan_1_4 ... why_likchan_3_6{txt}->{res}why_likchan
who_apt_bur_1_1 who_apt_bur_1_4 ... who_apt_bur_3_6{txt}->{res}who_apt_bur
who_apt_buroth_1_1 who_apt_buroth_1_4 ... who_apt_buroth_3_6{txt}->{res}who_apt_buroth
who_fir_bur_1_1 who_fir_bur_1_4 ... who_fir_bur_3_6{txt}->{res}who_fir_bur
who_fir_buroth_1_1 who_fir_buroth_1_4 ... who_fir_buroth_3_6{txt}->{res}who_fir_buroth
ocap_epol_1_1 ocap_epol_1_4 ... ocap_epol_3_6{txt}->{res}ocap_epol
ocap_apol_1_1 ocap_apol_1_4 ... ocap_apol_3_6{txt}->{res}ocap_apol
prio_epol_1_1 prio_epol_1_4 ... prio_epol_3_6{txt}->{res}prio_epol
prio_apol_1_1 prio_apol_1_4 ... prio_apol_3_6{txt}->{res}prio_apol
overall_conf_1_1 overall_conf_1_4 ... overall_conf_3_6{txt}->{res}overall_conf
avg_educ_epol_1_1 avg_educ_epol_1_4 ... avg_educ_epol_3_6{txt}->{res}avg_educ_epol
avg_educ_apol_1_1 avg_educ_apol_1_4 ... avg_educ_apol_3_6{txt}->{res}avg_educ_apol
avg_educ_buro_1_1 avg_educ_buro_1_4 ... avg_educ_buro_3_6{txt}->{res}avg_educ_buro
avg_slry_epol_1_1 avg_slry_epol_1_4 ... avg_slry_epol_3_6{txt}->{res}avg_slry_epol
avg_slry_apol_1_1 avg_slry_apol_1_4 ... avg_slry_apol_3_6{txt}->{res}avg_slry_apol
avg_slry_buro_1_1 avg_slry_buro_1_4 ... avg_slry_buro_3_6{txt}->{res}avg_slry_buro
{txt}{hline 77}

{com}.         
.         * Filter data
.         
.         split pos, p("_")
{res}variables created as string: 
{txt}{col 1}pos1{col 7}pos2{col 13}pos3

{com}.         
.         drop pos1
{txt}
{com}.         ren pos2 case_n_unit
{res}{txt}
{com}.         ren pos3 unit_num
{res}{txt}
{com}.         destring case_n_unit unit_num, replace
{txt}case_n_unit: all characters numeric; {res}replaced {txt}as {res}byte
{txt}unit_num: all characters numeric; {res}replaced {txt}as {res}byte
{txt}
{com}.         order case_n_unit unit_num, after(duration_minutes)
{txt}
{com}.         drop pos
{txt}
{com}.         
.         destring num_unit, replace
{txt}num_unit: all characters numeric; {res}replaced {txt}as {res}byte
{txt}
{com}.         drop if num_unit != case_n_unit
{txt}(104 observations deleted)

{com}.         drop num_unit
{txt}
{com}.         
.         compress
  {txt}variable {bf}country{sf} was {bf}{res}str15{sf}{txt} now {bf}{res}str11{sf}
  {txt}variable {bf}full_name{sf} was {bf}{res}str28{sf}{txt} now {bf}{res}str23{sf}
  {txt}variable {bf}recipientemail{sf} was {bf}{res}str35{sf}{txt} now {bf}{res}str32{sf}
  {txt}variable {bf}userlanguage{sf} was {bf}{res}str13{sf}{txt} now {bf}{res}str2{sf}
  {txt}variable {bf}finished{sf} was {bf}{res}str8{sf}{txt} now {bf}{res}str4{sf}
  {txt}variable {bf}title_bur{sf} was {bf}{res}str448{sf}{txt} now {bf}{res}str235{sf}
  {txt}variable {bf}elecpol_ovrsee{sf} was {bf}{res}str352{sf}{txt} now {bf}{res}str3{sf}
  {txt}variable {bf}title_elecpol{sf} was {bf}{res}str312{sf}{txt} now {bf}{res}str288{sf}
  {txt}variable {bf}aptpol_d{sf} was {bf}{res}str332{sf}{txt} now {bf}{res}str30{sf}
  {txt}variable {bf}who_aptpol{sf} was {bf}{res}str96{sf}{txt} now {bf}{res}str84{sf}
  {txt}variable {bf}mostinf_servdel{sf} was {bf}{res}str256{sf}{txt} now {bf}{res}str44{sf}
  {txt}variable {bf}educ_elecpolbur{sf} was {bf}{res}str258{sf}{txt} now {bf}{res}str51{sf}
  {txt}variable {bf}educ_apolbur{sf} was {bf}{res}str260{sf}{txt} now {bf}{res}str1{sf}
  {txt}variable {bf}slry_elecpolbur{sf} was {bf}{res}str316{sf}{txt} now {bf}{res}str47{sf}
  {txt}variable {bf}slry_apolbur{sf} was {bf}{res}str318{sf}{txt} now {bf}{res}str1{sf}
  {txt}variable {bf}fdout_epol_bgt{sf} was {bf}{res}str373{sf}{txt} now {bf}{res}str19{sf}
  {txt}variable {bf}fdout_apol_bgt{sf} was {bf}{res}str375{sf}{txt} now {bf}{res}str1{sf}
  {txt}variable {bf}budsect_epol{sf} was {bf}{res}str217{sf}{txt} now {bf}{res}str19{sf}
  {txt}variable {bf}budsect_apol{sf} was {bf}{res}str219{sf}{txt} now {bf}{res}str1{sf}
  {txt}variable {bf}acinfexp_epol{sf} was {bf}{res}str216{sf}{txt} now {bf}{res}str19{sf}
  {txt}variable {bf}acinfexp_apol{sf} was {bf}{res}str218{sf}{txt} now {bf}{res}str1{sf}
  {txt}variable {bf}understand_epol{sf} was {bf}{res}str214{sf}{txt} now {bf}{res}str21{sf}
  {txt}variable {bf}understand_apol{sf} was {bf}{res}str216{sf}{txt} now {bf}{res}str21{sf}
  {txt}variable {bf}acttake_epol{sf} was {bf}{res}str247{sf}{txt} now {bf}{res}str163{sf}
  {txt}variable {bf}acttake_epoloth{sf} was {bf}{res}str261{sf}{txt} now {bf}{res}str63{sf}
  {txt}variable {bf}acttake_apol{sf} was {bf}{res}str250{sf}{txt} now {bf}{res}str1{sf}
  {txt}variable {bf}acttake_apoloth{sf} was {bf}{res}str264{sf}{txt} now {bf}{res}str1{sf}
  {txt}variable {bf}likely{sf} was {bf}{res}str159{sf}{txt} now {bf}{res}str18{sf}
  {txt}variable {bf}who_apt_bur{sf} was {bf}{res}str126{sf}{txt} now {bf}{res}str64{sf}
  {txt}variable {bf}who_fir_bur{sf} was {bf}{res}str120{sf}{txt} now {bf}{res}str64{sf}
  {txt}variable {bf}who_fir_buroth{sf} was {bf}{res}str134{sf}{txt} now {bf}{res}str77{sf}
  {txt}variable {bf}ocap_epol{sf} was {bf}{res}str359{sf}{txt} now {bf}{res}str55{sf}
  {txt}variable {bf}ocap_apol{sf} was {bf}{res}str361{sf}{txt} now {bf}{res}str1{sf}
  {txt}variable {bf}prio_epol{sf} was {bf}{res}str209{sf}{txt} now {bf}{res}str73{sf}
  {txt}variable {bf}prio_apol{sf} was {bf}{res}str211{sf}{txt} now {bf}{res}str1{sf}
  {txt}variable {bf}overall_conf{sf} was {bf}{res}str191{sf}{txt} now {bf}{res}str17{sf}
  {txt}variable {bf}avg_educ_buro{sf} was {bf}{res}str117{sf}{txt} now {bf}{res}str101{sf}
  {txt}variable {bf}avg_slry_apol{sf} was {bf}{res}str134{sf}{txt} now {bf}{res}str128{sf}
  {txt}variable {bf}avg_slry_buro{sf} was {bf}{res}str134{sf}{txt} now {bf}{res}str87{sf}
  {txt}variable {bf}confirmation{sf} was {bf}{res}str1148{sf}{txt} now {bf}{res}str63{sf}
{txt}  (462,685 bytes saved)

{com}.         
.         * We edit the label 
.         
.         lab var country "Country"
{txt}
{com}.         lab var full_name  "Full name of recipient"
{txt}
{com}.         lab var recipientemail "Recipient email"
{txt}
{com}.         lab var userlanguage "Language used to answer"
{txt}
{com}.         lab var finished "Completion status"
{txt}
{com}.         lab var progress "Progress"
{txt}
{com}.         lab var duration_minutes "Duration in minutes"
{txt}
{com}.         lab var case_n_unit "Original number of entities"
{txt}
{com}.         lab var unit_num "Unit number"
{txt}
{com}.         
.         * Confirmation
.         
.         fre confirmation
{res}
{txt}confirmation
{txt}{hline 54}{hline 1}{c TT}{hline 44}
{txt}        {txt}                                               {c |}      Freq.    Percent      Valid       Cum.
{txt}{hline 54}{hline 1}{c +}{hline 44}
{txt}Valid   No, this is inaccurate. This level needs to be {c |}{res}          2       3.28       7.14       7.14
{txt}        replaced/deleted                               {c |}{res}                                            
{txt}        No, this level needs to be replaced/deleted    {c |}{res}          2       3.28       7.14      14.29
{txt}        Yes, this is accurate                          {c |}{res}         24      39.34      85.71     100.00
{txt}        Total                                          {c |}{res}         28      45.90     100.00           
{txt}Missing                                                {c |}{res}         33      54.10                      
{txt}Total                                                  {c |}{res}         61     100.00                      
{txt}{hline 54}{hline 1}{c BT}{hline 44}

{com}.         replace confirmation = "1" if confirmation == "Yes, this is accurate"
{txt}(24 real changes made)

{com}.         replace confirmation = "0" if regexm(confirmation,"No")
{txt}(4 real changes made)

{com}.         destring confirmation, replace
{txt}confirmation: all characters numeric; {res}replaced {txt}as {res}byte
{txt}(33 missing values generated)
{res}{txt}
{com}.         
.         lab var confirmation "Confirmation of adequacy of unit"
{txt}
{com}.         lab def confirmation 0 "No, this is not accurate. It should be replaced/deleted" 1 "Yes, this is accurate"
{txt}
{com}.         lab val confirmation confirmation
{txt}
{com}.         
.         fre confirmation
{res}
{txt}confirmation {hline 2} Confirmation of adequacy of unit
{txt}{hline 48}{hline 1}{c TT}{hline 44}
{txt}        {txt}                                         {c |}      Freq.    Percent      Valid       Cum.
{txt}{hline 48}{hline 1}{c +}{hline 44}
{txt}Valid   0 No, this is not accurate. It should be {c |}{res}          4       6.56      14.29      14.29
{txt}          replaced/deleted                       {c |}{res}                                            
{txt}        1 Yes, this is accurate                  {c |}{res}         24      39.34      85.71     100.00
{txt}        Total                                    {c |}{res}         28      45.90     100.00           
{txt}Missing .                                        {c |}{res}         33      54.10                      
{txt}Total                                            {c |}{res}         61     100.00                      
{txt}{hline 48}{hline 1}{c BT}{hline 44}

{com}.         
.         order confirmation, after(unit_num)
{txt}
{com}.         
.         * Creating variable about asked_survey (should be updated)
.         
.         gen asked_survey = 0
{txt}
{com}.         replace asked_survey = 1 if confirmation == 1
{txt}(24 real changes made)

{com}.         lab var asked_survey "Survey question asked to respondent"
{txt}
{com}.         lab def yesno 0 "No" 1 "Yes"
{txt}
{com}.         lab val asked_survey yesno
{txt}
{com}.         order asked_survey, after(confirmation)
{txt}
{com}.         
.         * title_bur
.         
.         lab var title_bur "Title of the highest-level bureaucrat in unit"
{txt}
{com}.         
.         gen test_title_bur = (title_bur != "")
{txt}
{com}.         replace test_title_bur = . if asked_survey == 0
{txt}(37 real changes made, 37 to missing)

{com}.         fre test_title_bur
{res}
{txt}test_title_bur
{txt}{hline 9}{hline 1}{c TT}{hline 44}
{txt}        {txt}  {c |}      Freq.    Percent      Valid       Cum.
{txt}{hline 9}{hline 1}{c +}{hline 44}
{txt}Valid   1 {c |}{res}         24      39.34     100.00     100.00
{txt}Missing . {c |}{res}         37      60.66                      
{txt}Total     {c |}{res}         61     100.00                      
{txt}{hline 9}{hline 1}{c BT}{hline 44}

{com}.         assert inlist(test_title_bur,.,1)
{txt}
{com}.         
.         drop test_title_bur
{txt}
{com}.         
.         * elecpol_ovrsee
.         
.         lab var elecpol_ovrsee "Any politicians in unit overseeing service delivery"
{txt}
{com}.         replace elecpol_ovrsee = "0" if elecpol_ovrsee == "No"
{txt}(2 real changes made)

{com}.         replace elecpol_ovrsee = "1" if elecpol_ovrsee == "Yes"
{txt}(23 real changes made)

{com}.         destring elecpol_ovrsee, replace
{txt}elecpol_ovrsee: all characters numeric; {res}replaced {txt}as {res}byte
{txt}(36 missing values generated)
{res}{txt}
{com}.         lab val elecpol_ovrsee yesno
{txt}
{com}.         
.         fre elecpol_ovrsee
{res}
{txt}elecpol_ovrsee {hline 2} Any politicians in unit overseeing service delivery
{txt}{hline 13}{hline 1}{c TT}{hline 44}
{txt}        {txt}      {c |}      Freq.    Percent      Valid       Cum.
{txt}{hline 13}{hline 1}{c +}{hline 44}
{txt}Valid   0 No  {c |}{res}          2       3.28       8.00       8.00
{txt}        1 Yes {c |}{res}         23      37.70      92.00     100.00
{txt}        Total {c |}{res}         25      40.98     100.00           
{txt}Missing .     {c |}{res}         36      59.02                      
{txt}Total         {c |}{res}         61     100.00                      
{txt}{hline 13}{hline 1}{c BT}{hline 44}

{com}.         
.         gen test_elecpol_ovrsee = (elecpol_ovrsee != .)
{txt}
{com}.         replace test_elecpol_ovrsee = . if asked_survey == 0
{txt}(37 real changes made, 37 to missing)

{com}.         fre test_elecpol_ovrsee
{res}
{txt}test_elecpol_ovrsee
{txt}{hline 9}{hline 1}{c TT}{hline 44}
{txt}        {txt}  {c |}      Freq.    Percent      Valid       Cum.
{txt}{hline 9}{hline 1}{c +}{hline 44}
{txt}Valid   1 {c |}{res}         24      39.34     100.00     100.00
{txt}Missing . {c |}{res}         37      60.66                      
{txt}Total     {c |}{res}         61     100.00                      
{txt}{hline 9}{hline 1}{c BT}{hline 44}

{com}.         assert inlist(test_elecpol_ovrsee,.,1)
{txt}
{com}.         
.         drop test_elecpol_ovrsee
{txt}
{com}.         
.         * title_elecpol
.         
.         lab var title_elecpol "Title of the highest-level elected politician in unit"
{txt}
{com}.         
.         gen test_title_elecpol = (title_elecpol != "")
{txt}
{com}.         replace test_title_elecpol = . if asked_survey == 0
{txt}(37 real changes made, 37 to missing)

{com}.         replace test_title_elecpol = . if elecpol_ovrsee == 0
{txt}(1 real change made, 1 to missing)

{com}.         fre test_title_elecpol
{res}
{txt}test_title_elecpol
{txt}{hline 9}{hline 1}{c TT}{hline 44}
{txt}        {txt}  {c |}      Freq.    Percent      Valid       Cum.
{txt}{hline 9}{hline 1}{c +}{hline 44}
{txt}Valid   1 {c |}{res}         23      37.70     100.00     100.00
{txt}Missing . {c |}{res}         38      62.30                      
{txt}Total     {c |}{res}         61     100.00                      
{txt}{hline 9}{hline 1}{c BT}{hline 44}

{com}.         assert inlist(test_title_elecpol,.,1)
{txt}
{com}.         
.         drop test_title_elecpol
{txt}
{com}.         
.         * aptpol_d
.         
.         fre aptpol_d
{res}
{txt}aptpol_d
{txt}{hline 38}{hline 1}{c TT}{hline 44}
{txt}        {txt}                               {c |}      Freq.    Percent      Valid       Cum.
{txt}{hline 38}{hline 1}{c +}{hline 44}
{txt}Valid   Do not know / Refuse to answer {c |}{res}          1       1.64       4.00       4.00
{txt}        No                             {c |}{res}         15      24.59      60.00      64.00
{txt}        Yes                            {c |}{res}          9      14.75      36.00     100.00
{txt}        Total                          {c |}{res}         25      40.98     100.00           
{txt}Missing                                {c |}{res}         36      59.02                      
{txt}Total                                  {c |}{res}         61     100.00                      
{txt}{hline 38}{hline 1}{c BT}{hline 44}

{com}.         
.         lab var aptpol_d "Politician appointed by higher politician in unit"
{txt}
{com}.         replace aptpol_d = "0" if aptpol_d == "No"
{txt}(15 real changes made)

{com}.         replace aptpol_d = "1" if aptpol_d == "Yes"
{txt}(9 real changes made)

{com}.         replace aptpol_d = "-98" if aptpol_d == "Do not know / Refuse to answer"
{txt}(1 real change made)

{com}.         destring aptpol_d, replace
{txt}aptpol_d: all characters numeric; {res}replaced {txt}as {res}byte
{txt}(36 missing values generated)
{res}{txt}
{com}.         lab val aptpol_d yesno
{txt}
{com}.         
.         fre aptpol_d
{res}
{txt}aptpol_d {hline 2} Politician appointed by higher politician in unit
{txt}{hline 15}{hline 1}{c TT}{hline 44}
{txt}        {txt}        {c |}      Freq.    Percent      Valid       Cum.
{txt}{hline 15}{hline 1}{c +}{hline 44}
{txt}Valid   -98     {c |}{res}          1       1.64       4.00       4.00
{txt}        0   No  {c |}{res}         15      24.59      60.00      64.00
{txt}        1   Yes {c |}{res}          9      14.75      36.00     100.00
{txt}        Total   {c |}{res}         25      40.98     100.00           
{txt}Missing .       {c |}{res}         36      59.02                      
{txt}Total           {c |}{res}         61     100.00                      
{txt}{hline 15}{hline 1}{c BT}{hline 44}

{com}.         
.         gen test_aptpol_d = (aptpol_d != .)
{txt}
{com}.         replace test_aptpol_d = . if asked_survey == 0
{txt}(37 real changes made, 37 to missing)

{com}.         fre test_aptpol_d
{res}
{txt}test_aptpol_d
{txt}{hline 9}{hline 1}{c TT}{hline 44}
{txt}        {txt}  {c |}      Freq.    Percent      Valid       Cum.
{txt}{hline 9}{hline 1}{c +}{hline 44}
{txt}Valid   1 {c |}{res}         24      39.34     100.00     100.00
{txt}Missing . {c |}{res}         37      60.66                      
{txt}Total     {c |}{res}         61     100.00                      
{txt}{hline 9}{hline 1}{c BT}{hline 44}

{com}.         assert inlist(test_aptpol_d,.,1)
{txt}
{com}.         
.         drop test_aptpol_d
{txt}
{com}.         
.         * pol_exist_d
.         
.         gen pol_exist_d = 0
{txt}
{com}.         replace pol_exist_d = 1 if aptpol_d == 1 | elecpol_ovrsee == 1
{txt}(23 real changes made)

{com}.         replace pol_exist_d = . if asked_survey == 0
{txt}(37 real changes made, 37 to missing)

{com}.         lab val pol_exist_d yesno
{txt}
{com}.         lab var pol_exist_d "1 if we have either an appointed or elected politician"
{txt}
{com}.         
.         fre pol_exist_d
{res}
{txt}pol_exist_d {hline 2} 1 if we have either an appointed or elected politician
{txt}{hline 13}{hline 1}{c TT}{hline 44}
{txt}        {txt}      {c |}      Freq.    Percent      Valid       Cum.
{txt}{hline 13}{hline 1}{c +}{hline 44}
{txt}Valid   0 No  {c |}{res}          1       1.64       4.17       4.17
{txt}        1 Yes {c |}{res}         23      37.70      95.83     100.00
{txt}        Total {c |}{res}         24      39.34     100.00           
{txt}Missing .     {c |}{res}         37      60.66                      
{txt}Total         {c |}{res}         61     100.00                      
{txt}{hline 13}{hline 1}{c BT}{hline 44}

{com}.         order pol_exist_d, after(aptpol_d)
{txt}
{com}.         
.         * title_aptpol
.         
.         lab var title_aptpol "Title of the highest-level appointed politician in unit"
{txt}
{com}.         
.         gen test_title_aptpol = (title_aptpol != "")
{txt}
{com}.         replace test_title_aptpol = . if asked_survey == 0 
{txt}(37 real changes made, 37 to missing)

{com}.         replace test_title_aptpol = . if aptpol_d == 0 | aptpol_d == -98
{txt}(15 real changes made, 15 to missing)

{com}.         fre test_title_aptpol
{res}
{txt}test_title_aptpol
{txt}{hline 9}{hline 1}{c TT}{hline 44}
{txt}        {txt}  {c |}      Freq.    Percent      Valid       Cum.
{txt}{hline 9}{hline 1}{c +}{hline 44}
{txt}Valid   1 {c |}{res}          9      14.75     100.00     100.00
{txt}Missing . {c |}{res}         52      85.25                      
{txt}Total     {c |}{res}         61     100.00                      
{txt}{hline 9}{hline 1}{c BT}{hline 44}

{com}.         assert inlist(test_title_aptpol,.,1)
{txt}
{com}.         
.         drop test_title_aptpol
{txt}
{com}.         
.         * who_aptpol
.         
.         lab var who_aptpol "Who appoints the highest-level appointed politician in unit"
{txt}
{com}.         
.         gen test_who_aptpol = (who_aptpol != "")
{txt}
{com}.         replace test_who_aptpol = . if asked_survey == 0 
{txt}(37 real changes made, 37 to missing)

{com}.         replace test_who_aptpol = . if aptpol_d == 0 | aptpol_d == -98
{txt}(15 real changes made, 15 to missing)

{com}.         fre test_who_aptpol
{res}
{txt}test_who_aptpol
{txt}{hline 9}{hline 1}{c TT}{hline 44}
{txt}        {txt}  {c |}      Freq.    Percent      Valid       Cum.
{txt}{hline 9}{hline 1}{c +}{hline 44}
{txt}Valid   1 {c |}{res}          9      14.75     100.00     100.00
{txt}Missing . {c |}{res}         52      85.25                      
{txt}Total     {c |}{res}         61     100.00                      
{txt}{hline 9}{hline 1}{c BT}{hline 44}

{com}.         assert inlist(test_who_aptpol,.,1)
{txt}
{com}.         
.         drop test_who_aptpol
{txt}
{com}.         
.         * mostinf_servdel
.         
.         lab var mostinf_servdel "More influential in determining quality of service"
{txt}
{com}.         
.         replace mostinf_servdel = "1" if regexm(mostinf_servdel,"Elected much more")
{txt}(5 real changes made)

{com}.         replace mostinf_servdel = "2" if regexm(mostinf_servdel,"Elected slightly more")
{txt}(0 real changes made)

{com}.         replace mostinf_servdel = "3" if regexm(mostinf_servdel,"About the same")
{txt}(1 real change made)

{com}.         replace mostinf_servdel = "4" if regexm(mostinf_servdel,"Appointed slightly more")
{txt}(0 real changes made)

{com}.         replace mostinf_servdel = "5" if regexm(mostinf_servdel,"Appointed much more")
{txt}(3 real changes made)

{com}.         destring mostinf_servdel, replace
{txt}mostinf_servdel: all characters numeric; {res}replaced {txt}as {res}byte
{txt}(52 missing values generated)
{res}{txt}
{com}.         lab def mostinf_servdel 1 "Elected much more influential" 2 "Elected slightly more influential" 3 "About the same" 4 "Appointed slightly more influential" 5 "Appointed much more influential"
{txt}
{com}.         lab val mostinf_servdel mostinf_servdel
{txt}
{com}.         
.         fre mostinf_servdel
{res}
{txt}mostinf_servdel {hline 2} More influential in determining quality of service
{txt}{hline 41}{hline 1}{c TT}{hline 44}
{txt}        {txt}                                  {c |}      Freq.    Percent      Valid       Cum.
{txt}{hline 41}{hline 1}{c +}{hline 44}
{txt}Valid   1 Elected much more influential   {c |}{res}          5       8.20      55.56      55.56
{txt}        3 About the same                  {c |}{res}          1       1.64      11.11      66.67
{txt}        5 Appointed much more influential {c |}{res}          3       4.92      33.33     100.00
{txt}        Total                             {c |}{res}          9      14.75     100.00           
{txt}Missing .                                 {c |}{res}         52      85.25                      
{txt}Total                                     {c |}{res}         61     100.00                      
{txt}{hline 41}{hline 1}{c BT}{hline 44}

{com}.         
.         gen test_mostinf_servdel = (mostinf_servdel != .)
{txt}
{com}.         replace test_mostinf_servdel = . if asked_survey == 0 
{txt}(37 real changes made, 37 to missing)

{com}.         replace test_mostinf_servdel = . if (inlist(aptpol_d,0,-98) | elecpol_ovrsee == 0)
{txt}(15 real changes made, 15 to missing)

{com}.         fre test_mostinf_servdel
{res}
{txt}test_mostinf_servdel
{txt}{hline 9}{hline 1}{c TT}{hline 44}
{txt}        {txt}  {c |}      Freq.    Percent      Valid       Cum.
{txt}{hline 9}{hline 1}{c +}{hline 44}
{txt}Valid   1 {c |}{res}          9      14.75     100.00     100.00
{txt}Missing . {c |}{res}         52      85.25                      
{txt}Total     {c |}{res}         61     100.00                      
{txt}{hline 9}{hline 1}{c BT}{hline 44}

{com}.         assert inlist(test_mostinf_servdel,.,1)
{txt}
{com}.         
.         drop test_mostinf_servdel
{txt}
{com}.         
.         * educ_elecpolbur
.         
.         lab var educ_elecpolbur "More educated bureaucrat or politician (elec. politician)"
{txt}
{com}.         
.         fre educ_elecpolbur
{res}
{txt}educ_elecpolbur {hline 2} More educated bureaucrat or politician (elec. politician)
{txt}{hline 55}{hline 1}{c TT}{hline 44}
{txt}        {txt}                                                {c |}      Freq.    Percent      Valid       Cum.
{txt}{hline 55}{hline 1}{c +}{hline 44}
{txt}Valid   About the same level of education               {c |}{res}          4       6.56      17.39      17.39
{txt}        Bureaucrats much more educated than Politicians {c |}{res}         13      21.31      56.52      73.91
{txt}        Bureaucrats slightly more educated than         {c |}{res}          6       9.84      26.09     100.00
{txt}        Politicians                                     {c |}{res}                                            
{txt}        Total                                           {c |}{res}         23      37.70     100.00           
{txt}Missing                                                 {c |}{res}         38      62.30                      
{txt}Total                                                   {c |}{res}         61     100.00                      
{txt}{hline 55}{hline 1}{c BT}{hline 44}

{com}.         
.         replace educ_elecpolbur = "1" if regexm(educ_elecpolbur,"Bureaucrats much more educated")
{txt}(13 real changes made)

{com}.         replace educ_elecpolbur = "2" if regexm(educ_elecpolbur,"Bureaucrats slightly more educated")
{txt}(6 real changes made)

{com}.         replace educ_elecpolbur = "3" if regexm(educ_elecpolbur,"About the same")
{txt}(4 real changes made)

{com}.         replace educ_elecpolbur = "4" if regexm(educ_elecpolbur,"Politicians slightly more educated")
{txt}(0 real changes made)

{com}.         replace educ_elecpolbur = "5" if regexm(educ_elecpolbur,"Politicians much more educated")
{txt}(0 real changes made)

{com}.         destring educ_elecpolbur, replace
{txt}educ_elecpolbur: all characters numeric; {res}replaced {txt}as {res}byte
{txt}(38 missing values generated)
{res}{txt}
{com}.         lab def educ_elecpolbur 1 "Bureaucrats much more educated" 2 "Bureaucrats slightly more educated" 3 "About the same" 4 "Politicians slightly more educated" 5 "Politicians much more educated"
{txt}
{com}.         lab val educ_elecpolbur educ_elecpolbur
{txt}
{com}.         
.         fre educ_elecpolbur
{res}
{txt}educ_elecpolbur {hline 2} More educated bureaucrat or politician (elec. politician)
{txt}{hline 44}{hline 1}{c TT}{hline 44}
{txt}        {txt}                                     {c |}      Freq.    Percent      Valid       Cum.
{txt}{hline 44}{hline 1}{c +}{hline 44}
{txt}Valid   1 Bureaucrats much more educated     {c |}{res}         13      21.31      56.52      56.52
{txt}        2 Bureaucrats slightly more educated {c |}{res}          6       9.84      26.09      82.61
{txt}        3 About the same                     {c |}{res}          4       6.56      17.39     100.00
{txt}        Total                                {c |}{res}         23      37.70     100.00           
{txt}Missing .                                    {c |}{res}         38      62.30                      
{txt}Total                                        {c |}{res}         61     100.00                      
{txt}{hline 44}{hline 1}{c BT}{hline 44}

{com}.         
.         gen test_educ_elecpolbur = (educ_elecpolbur != .)
{txt}
{com}.         replace test_educ_elecpolbur = . if asked_survey == 0 
{txt}(37 real changes made, 37 to missing)

{com}.         replace test_educ_elecpolbur = . if elecpol_ovrsee == 0
{txt}(1 real change made, 1 to missing)

{com}.         fre test_educ_elecpolbur
{res}
{txt}test_educ_elecpolbur
{txt}{hline 9}{hline 1}{c TT}{hline 44}
{txt}        {txt}  {c |}      Freq.    Percent      Valid       Cum.
{txt}{hline 9}{hline 1}{c +}{hline 44}
{txt}Valid   1 {c |}{res}         23      37.70     100.00     100.00
{txt}Missing . {c |}{res}         38      62.30                      
{txt}Total     {c |}{res}         61     100.00                      
{txt}{hline 9}{hline 1}{c BT}{hline 44}

{com}.         assert inlist(test_educ_elecpolbur,.,1)
{txt}
{com}.         
.         drop test_educ_elecpolbur
{txt}
{com}.         
.         * educ_apolbur
.         
.         lab var educ_apolbur "More educated bureaucrat or politician (app. politician) "
{txt}
{com}.         
.         fre educ_apolbur
{res}
{txt}educ_apolbur {hline 2} More educated bureaucrat or politician (app. politician) 
{txt}{hline 8}{hline 1}{c TT}{hline 44}
{txt}        {txt} {c |}      Freq.    Percent      Valid       Cum.
{txt}{hline 8}{hline 1}{c +}{hline 44}
{txt}Missing  {c |}{res}         61     100.00                      
{txt}{hline 8}{hline 1}{c BT}{hline 44}

{com}.         
.         replace educ_apolbur = "1" if regexm(educ_apolbur,"Bureaucrats much more educated")
{txt}(0 real changes made)

{com}.         replace educ_apolbur = "2" if regexm(educ_apolbur,"Bureaucrats slightly more educated")
{txt}(0 real changes made)

{com}.         replace educ_apolbur = "3" if regexm(educ_apolbur,"About the same")
{txt}(0 real changes made)

{com}.         replace educ_apolbur = "4" if regexm(educ_apolbur,"Politicians slightly more educated")
{txt}(0 real changes made)

{com}.         replace educ_apolbur = "5" if regexm(educ_apolbur,"Politicians much more educated")
{txt}(0 real changes made)

{com}.         destring educ_apolbur, replace
{txt}educ_apolbur: all characters numeric; {res}replaced {txt}as {res}byte
{txt}(61 missing values generated)
{res}{txt}
{com}.         lab def educ_apolbur 1 "Bureaucrats much more educated" 2 "Bureaucrats slightly more educated" 3 "About the same" 4 "Politicians slightly more educated" 5 "Politicians much more educated"
{txt}
{com}.         lab val educ_apolbur educ_apolbur
{txt}
{com}.         
.         fre educ_apolbur
{res}
{txt}educ_apolbur {hline 2} More educated bureaucrat or politician (app. politician) 
{txt}{hline 13}{hline 1}{c TT}{hline 44}
{txt}        {txt}      {c |}      Freq.    Percent      Valid       Cum.
{txt}{hline 13}{hline 1}{c +}{hline 44}
{txt}Missing .     {c |}{res}         61     100.00                      
{txt}{hline 13}{hline 1}{c BT}{hline 44}

{com}.         
.         gen test_educ_apolbur = (educ_apolbur != .)
{txt}
{com}.         replace test_educ_apolbur = . if asked_survey == 0
{txt}(37 real changes made, 37 to missing)

{com}.         replace test_educ_apolbur = . if aptpol_d == 0
{txt}(14 real changes made, 14 to missing)

{com}.         replace test_educ_apolbur = . if elecpol_ovrsee == 1 
{txt}(10 real changes made, 10 to missing)

{com}.         fre test_educ_apolbur
{res}
{txt}test_educ_apolbur
{txt}{hline 9}{hline 1}{c TT}{hline 44}
{txt}        {txt}  {c |}      Freq.    Percent      Valid       Cum.
{txt}{hline 9}{hline 1}{c +}{hline 44}
{txt}Missing . {c |}{res}         61     100.00                      
{txt}{hline 9}{hline 1}{c BT}{hline 44}

{com}.         assert inlist(test_educ_apolbur,.,1)
{txt}
{com}.         
.         drop test_educ_apolbur
{txt}
{com}.         
.         * slry_elecpolbur
.         
.         lab var slry_elecpolbur "Earning more bureaucrat or politician (elec. politician)"
{txt}
{com}.         
.         fre slry_elecpolbur
{res}
{txt}slry_elecpolbur {hline 2} Earning more bureaucrat or politician (elec. politician)
{txt}{hline 55}{hline 1}{c TT}{hline 44}
{txt}        {txt}                                                {c |}      Freq.    Percent      Valid       Cum.
{txt}{hline 55}{hline 1}{c +}{hline 44}
{txt}Valid   Both earn about the same                        {c |}{res}          4       6.56      17.39      17.39
{txt}        Bureaucrats earn much more than Politicians     {c |}{res}          5       8.20      21.74      39.13
{txt}        Bureaucrats earn slightly more than Politicians {c |}{res}          3       4.92      13.04      52.17
{txt}        Politicians earn much more than Bureaucrats     {c |}{res}          6       9.84      26.09      78.26
{txt}        Politicians earn slightly more than Bureaucrats {c |}{res}          5       8.20      21.74     100.00
{txt}        Total                                           {c |}{res}         23      37.70     100.00           
{txt}Missing                                                 {c |}{res}         38      62.30                      
{txt}Total                                                   {c |}{res}         61     100.00                      
{txt}{hline 55}{hline 1}{c BT}{hline 44}

{com}.         
.         replace slry_elecpolbur = "1" if regexm(slry_elecpolbur,"Bureaucrats earn much")
{txt}(5 real changes made)

{com}.         replace slry_elecpolbur = "2" if regexm(slry_elecpolbur,"Bureaucrats earn slightly")
{txt}(3 real changes made)

{com}.         replace slry_elecpolbur = "3" if regexm(slry_elecpolbur,"Both earn")
{txt}(4 real changes made)

{com}.         replace slry_elecpolbur = "4" if regexm(slry_elecpolbur,"Politicians earn slightly")
{txt}(5 real changes made)

{com}.         replace slry_elecpolbur = "5" if regexm(slry_elecpolbur,"Politicians earn much")
{txt}(6 real changes made)

{com}.         destring slry_elecpolbur, replace
{txt}slry_elecpolbur: all characters numeric; {res}replaced {txt}as {res}byte
{txt}(38 missing values generated)
{res}{txt}
{com}.         lab def slry_elecpolbur 1 "Bureaucrats earn much more" 2 "Bureaucrats earn slightly more" 3 "Both earn the same" 4 "Politicians earn slightly" 5 "Politicians earn much more"
{txt}
{com}.         lab val slry_elecpolbur slry_elecpolbur
{txt}
{com}.         
.         fre slry_elecpolbur
{res}
{txt}slry_elecpolbur {hline 2} Earning more bureaucrat or politician (elec. politician)
{txt}{hline 40}{hline 1}{c TT}{hline 44}
{txt}        {txt}                                 {c |}      Freq.    Percent      Valid       Cum.
{txt}{hline 40}{hline 1}{c +}{hline 44}
{txt}Valid   1 Bureaucrats earn much more     {c |}{res}          5       8.20      21.74      21.74
{txt}        2 Bureaucrats earn slightly more {c |}{res}          3       4.92      13.04      34.78
{txt}        3 Both earn the same             {c |}{res}          4       6.56      17.39      52.17
{txt}        4 Politicians earn slightly      {c |}{res}          5       8.20      21.74      73.91
{txt}        5 Politicians earn much more     {c |}{res}          6       9.84      26.09     100.00
{txt}        Total                            {c |}{res}         23      37.70     100.00           
{txt}Missing .                                {c |}{res}         38      62.30                      
{txt}Total                                    {c |}{res}         61     100.00                      
{txt}{hline 40}{hline 1}{c BT}{hline 44}

{com}.         
.         gen test_slry_elecpolbur = (slry_elecpolbur != .)
{txt}
{com}.         replace test_slry_elecpolbur = . if asked_survey == 0 
{txt}(37 real changes made, 37 to missing)

{com}.         replace test_slry_elecpolbur = . if elecpol_ovrsee == 0
{txt}(1 real change made, 1 to missing)

{com}.         fre test_slry_elecpolbur
{res}
{txt}test_slry_elecpolbur
{txt}{hline 9}{hline 1}{c TT}{hline 44}
{txt}        {txt}  {c |}      Freq.    Percent      Valid       Cum.
{txt}{hline 9}{hline 1}{c +}{hline 44}
{txt}Valid   1 {c |}{res}         23      37.70     100.00     100.00
{txt}Missing . {c |}{res}         38      62.30                      
{txt}Total     {c |}{res}         61     100.00                      
{txt}{hline 9}{hline 1}{c BT}{hline 44}

{com}.         assert inlist(test_slry_elecpolbur,.,1)
{txt}
{com}.         
.         drop test_slry_elecpolbur
{txt}
{com}.         
.         * slry_apolbur
.         
.         lab var slry_apolbur "Earning more bureaucrat or politician (app. politician)"
{txt}
{com}.         
.         fre slry_apolbur
{res}
{txt}slry_apolbur {hline 2} Earning more bureaucrat or politician (app. politician)
{txt}{hline 8}{hline 1}{c TT}{hline 44}
{txt}        {txt} {c |}      Freq.    Percent      Valid       Cum.
{txt}{hline 8}{hline 1}{c +}{hline 44}
{txt}Missing  {c |}{res}         61     100.00                      
{txt}{hline 8}{hline 1}{c BT}{hline 44}

{com}.         
.         replace slry_apolbur = "1" if regexm(slry_apolbur,"Bureaucrats earn much")
{txt}(0 real changes made)

{com}.         replace slry_apolbur = "2" if regexm(slry_apolbur,"Bureaucrats earn slightly")
{txt}(0 real changes made)

{com}.         replace slry_apolbur = "3" if regexm(slry_apolbur,"Both earn")
{txt}(0 real changes made)

{com}.         replace slry_apolbur = "4" if regexm(slry_apolbur,"Politicians earn slightly")
{txt}(0 real changes made)

{com}.         replace slry_apolbur = "5" if regexm(slry_apolbur,"Politicians earn much")
{txt}(0 real changes made)

{com}.         destring slry_apolbur, replace
{txt}slry_apolbur: all characters numeric; {res}replaced {txt}as {res}byte
{txt}(61 missing values generated)
{res}{txt}
{com}.         lab def slry_apolbur 1 "Bureaucrats earn much more" 2 "Bureaucrats earn slightly more" 3 "Both earn the same" 4 "Politicians earn slightly" 5 "Politicians earn much more"
{txt}
{com}.         lab val slry_apolbur slry_apolbur
{txt}
{com}.         
.         fre slry_apolbur
{res}
{txt}slry_apolbur {hline 2} Earning more bureaucrat or politician (app. politician)
{txt}{hline 13}{hline 1}{c TT}{hline 44}
{txt}        {txt}      {c |}      Freq.    Percent      Valid       Cum.
{txt}{hline 13}{hline 1}{c +}{hline 44}
{txt}Missing .     {c |}{res}         61     100.00                      
{txt}{hline 13}{hline 1}{c BT}{hline 44}

{com}.         
.         gen test_slry_apolbur = (slry_apolbur != .)
{txt}
{com}.         replace test_slry_apolbur = . if asked_survey == 0
{txt}(37 real changes made, 37 to missing)

{com}.         replace test_slry_apolbur = . if aptpol_d == 0
{txt}(14 real changes made, 14 to missing)

{com}.         replace test_slry_apolbur = . if elecpol_ovrsee == 1 
{txt}(10 real changes made, 10 to missing)

{com}.         fre test_slry_apolbur
{res}
{txt}test_slry_apolbur
{txt}{hline 9}{hline 1}{c TT}{hline 44}
{txt}        {txt}  {c |}      Freq.    Percent      Valid       Cum.
{txt}{hline 9}{hline 1}{c +}{hline 44}
{txt}Missing . {c |}{res}         61     100.00                      
{txt}{hline 9}{hline 1}{c BT}{hline 44}

{com}.         assert inlist(test_slry_apolbur,.,1)
{txt}
{com}.         
.         drop test_slry_apolbur
{txt}
{com}.         
.         * We merge the payment module
.         
.         merge m:1 responseid using "`payment_module'"
{res}
{txt}{col 5}Result{col 38}# of obs.
{col 5}{hline 41}
{col 5}not matched{col 30}{res}               0
{txt}{col 5}matched{col 30}{res}              61{txt}  (_merge==3)
{col 5}{hline 41}

{com}.         drop _merge
{txt}
{com}.         order donate_d org_donation_id paid_status, after(duration_minutes)
{txt}
{com}.         
.         * fdout_epol_bgt
.         
.         lab var fdout_epol_bgt "Easy to find out about envelop (elec. politician)"
{txt}
{com}.         
.         fre fdout_epol_bgt
{res}
{txt}fdout_epol_bgt {hline 2} Easy to find out about envelop (elec. politician)
{txt}{hline 26}{hline 1}{c TT}{hline 44}
{txt}        {txt}                   {c |}      Freq.    Percent      Valid       Cum.
{txt}{hline 26}{hline 1}{c +}{hline 44}
{txt}Valid   Somewhat difficult {c |}{res}          3       4.92      13.04      13.04
{txt}        Somewhat easy      {c |}{res}          6       9.84      26.09      39.13
{txt}        Very easy          {c |}{res}         14      22.95      60.87     100.00
{txt}        Total              {c |}{res}         23      37.70     100.00           
{txt}Missing                    {c |}{res}         38      62.30                      
{txt}Total                      {c |}{res}         61     100.00                      
{txt}{hline 26}{hline 1}{c BT}{hline 44}

{com}.         
.         replace fdout_epol_bgt = "1" if regexm(fdout_epol_bgt,"Very easy")
{txt}(14 real changes made)

{com}.         replace fdout_epol_bgt = "2" if regexm(fdout_epol_bgt,"Somewhat easy")
{txt}(6 real changes made)

{com}.         replace fdout_epol_bgt = "3" if regexm(fdout_epol_bgt,"Somewhat difficult")
{txt}(3 real changes made)

{com}.         replace fdout_epol_bgt = "4" if regexm(fdout_epol_bgt,"Very difficult")
{txt}(0 real changes made)

{com}.         replace fdout_epol_bgt = "5" if regexm(fdout_epol_bgt,"Not applicable")
{txt}(0 real changes made)

{com}.         replace fdout_epol_bgt = "6" if regexm(fdout_epol_bgt,"Do not know")
{txt}(0 real changes made)

{com}.         
.         destring fdout_epol_bgt, replace
{txt}fdout_epol_bgt: all characters numeric; {res}replaced {txt}as {res}byte
{txt}(38 missing values generated)
{res}{txt}
{com}.         lab def fdout_epol_bgt 1 "Very easy" 2 "Somewhat easy" 3 "Somewhat difficult" 4 "Very difficult" 5 "Not applicable, this level of government has no spending power" 6 "Do not know / Refuse to answer"
{txt}
{com}.         lab val fdout_epol_bgt fdout_epol_bgt
{txt}
{com}.         
.         fre fdout_epol_bgt
{res}
{txt}fdout_epol_bgt {hline 2} Easy to find out about envelop (elec. politician)
{txt}{hline 28}{hline 1}{c TT}{hline 44}
{txt}        {txt}                     {c |}      Freq.    Percent      Valid       Cum.
{txt}{hline 28}{hline 1}{c +}{hline 44}
{txt}Valid   1 Very easy          {c |}{res}         14      22.95      60.87      60.87
{txt}        2 Somewhat easy      {c |}{res}          6       9.84      26.09      86.96
{txt}        3 Somewhat difficult {c |}{res}          3       4.92      13.04     100.00
{txt}        Total                {c |}{res}         23      37.70     100.00           
{txt}Missing .                    {c |}{res}         38      62.30                      
{txt}Total                        {c |}{res}         61     100.00                      
{txt}{hline 28}{hline 1}{c BT}{hline 44}

{com}.         
.         gen test_fdout_epol_bgt = (fdout_epol_bgt != .)
{txt}
{com}.         replace test_fdout_epol_bgt = . if asked_survey == 0 
{txt}(37 real changes made, 37 to missing)

{com}.         replace test_fdout_epol_bgt = . if elecpol_ovrsee == 0
{txt}(1 real change made, 1 to missing)

{com}.         fre test_fdout_epol_bgt
{res}
{txt}test_fdout_epol_bgt
{txt}{hline 9}{hline 1}{c TT}{hline 44}
{txt}        {txt}  {c |}      Freq.    Percent      Valid       Cum.
{txt}{hline 9}{hline 1}{c +}{hline 44}
{txt}Valid   1 {c |}{res}         23      37.70     100.00     100.00
{txt}Missing . {c |}{res}         38      62.30                      
{txt}Total     {c |}{res}         61     100.00                      
{txt}{hline 9}{hline 1}{c BT}{hline 44}

{com}.         assert inlist(test_fdout_epol_bgt,.,1)
{txt}
{com}.         
.         drop test_fdout_epol_bgt
{txt}
{com}.         
.         * fdout_apol_bgt
.         
.         lab var fdout_apol_bgt "Easy to find out about envelop (app. politician)"
{txt}
{com}.         
.         fre fdout_apol_bgt
{res}
{txt}fdout_apol_bgt {hline 2} Easy to find out about envelop (app. politician)
{txt}{hline 8}{hline 1}{c TT}{hline 44}
{txt}        {txt} {c |}      Freq.    Percent      Valid       Cum.
{txt}{hline 8}{hline 1}{c +}{hline 44}
{txt}Missing  {c |}{res}         61     100.00                      
{txt}{hline 8}{hline 1}{c BT}{hline 44}

{com}.         
.         replace fdout_apol_bgt = "1" if regexm(fdout_apol_bgt,"Very easy")
{txt}(0 real changes made)

{com}.         replace fdout_apol_bgt = "2" if regexm(fdout_apol_bgt,"Somewhat easy")
{txt}(0 real changes made)

{com}.         replace fdout_apol_bgt = "3" if regexm(fdout_apol_bgt,"Somewhat difficult")
{txt}(0 real changes made)

{com}.         replace fdout_apol_bgt = "4" if regexm(fdout_apol_bgt,"Very difficult")
{txt}(0 real changes made)

{com}.         replace fdout_apol_bgt = "5" if regexm(fdout_apol_bgt,"Not applicable")
{txt}(0 real changes made)

{com}.         replace fdout_apol_bgt = "6" if regexm(fdout_apol_bgt,"Do not know")
{txt}(0 real changes made)

{com}.         
.         destring fdout_apol_bgt, replace
{txt}fdout_apol_bgt: all characters numeric; {res}replaced {txt}as {res}byte
{txt}(61 missing values generated)
{res}{txt}
{com}.         lab def fdout_apol_bgt 1 "Very easy" 2 "Somewhat easy" 3 "Somewhat difficult" 4 "Very difficult" 5 "Not applicable, this level of government has no spending power" 6 "Do not know / Refuse to answer"
{txt}
{com}.         lab val fdout_apol_bgt fdout_apol_bgt
{txt}
{com}.         
.         fre fdout_apol_bgt
{res}
{txt}fdout_apol_bgt {hline 2} Easy to find out about envelop (app. politician)
{txt}{hline 13}{hline 1}{c TT}{hline 44}
{txt}        {txt}      {c |}      Freq.    Percent      Valid       Cum.
{txt}{hline 13}{hline 1}{c +}{hline 44}
{txt}Missing .     {c |}{res}         61     100.00                      
{txt}{hline 13}{hline 1}{c BT}{hline 44}

{com}.         
.         gen test_fdout_apol_bgt = (fdout_apol_bgt != .)
{txt}
{com}.         replace test_fdout_apol_bgt = . if asked_survey == 0
{txt}(37 real changes made, 37 to missing)

{com}.         replace test_fdout_apol_bgt = . if aptpol_d == 0
{txt}(14 real changes made, 14 to missing)

{com}.         replace test_fdout_apol_bgt = . if elecpol_ovrsee == 1 
{txt}(10 real changes made, 10 to missing)

{com}.         fre test_fdout_apol_bgt
{res}
{txt}test_fdout_apol_bgt
{txt}{hline 9}{hline 1}{c TT}{hline 44}
{txt}        {txt}  {c |}      Freq.    Percent      Valid       Cum.
{txt}{hline 9}{hline 1}{c +}{hline 44}
{txt}Missing . {c |}{res}         61     100.00                      
{txt}{hline 9}{hline 1}{c BT}{hline 44}

{com}.         assert inlist(test_fdout_apol_bgt,.,1)
{txt}
{com}.         
.         drop test_fdout_apol_bgt
{txt}
{com}.         
.         * budsect_epol
.         
.         lab var budsect_epol "Find about budget allocation to sectors (elec. politician)"
{txt}
{com}.         
.         fre budsect_epol
{res}
{txt}budsect_epol {hline 2} Find about budget allocation to sectors (elec. politician)
{txt}{hline 26}{hline 1}{c TT}{hline 44}
{txt}        {txt}                   {c |}      Freq.    Percent      Valid       Cum.
{txt}{hline 26}{hline 1}{c +}{hline 44}
{txt}Valid   Somewhat difficult {c |}{res}          2       3.28       8.70       8.70
{txt}        Somewhat easy      {c |}{res}          4       6.56      17.39      26.09
{txt}        Very difficult     {c |}{res}          1       1.64       4.35      30.43
{txt}        Very easy          {c |}{res}          9      14.75      39.13      69.57
{txt}        Somewhat easy      {c |}{res}          1       1.64       4.35      73.91
{txt}        Very easy          {c |}{res}          6       9.84      26.09     100.00
{txt}        Total              {c |}{res}         23      37.70     100.00           
{txt}Missing                    {c |}{res}         38      62.30                      
{txt}Total                      {c |}{res}         61     100.00                      
{txt}{hline 26}{hline 1}{c BT}{hline 44}

{com}.         
.         replace budsect_epol = "1" if regexm(budsect_epol,"Very easy")
{txt}(15 real changes made)

{com}.         replace budsect_epol = "2" if regexm(budsect_epol,"Somewhat easy")
{txt}(5 real changes made)

{com}.         replace budsect_epol = "3" if regexm(budsect_epol,"Somewhat difficult")
{txt}(2 real changes made)

{com}.         replace budsect_epol = "4" if regexm(budsect_epol,"Very difficult")
{txt}(1 real change made)

{com}.         replace budsect_epol = "5" if regexm(budsect_epol,"Not applicable")
{txt}(0 real changes made)

{com}.         replace budsect_epol = "6" if regexm(budsect_epol,"Do not know")
{txt}(0 real changes made)

{com}.         
.         destring budsect_epol, replace
{txt}budsect_epol: all characters numeric; {res}replaced {txt}as {res}byte
{txt}(38 missing values generated)
{res}{txt}
{com}.         lab def budsect_epol 1 "Very easy" 2 "Somewhat easy" 3 "Somewhat difficult" 4 "Very difficult" 5 "Not applicable, this level of government has no spending power" 6 "Do not know / Refuse to answer"
{txt}
{com}.         lab val budsect_epol budsect_epol
{txt}
{com}.         
.         fre budsect_epol
{res}
{txt}budsect_epol {hline 2} Find about budget allocation to sectors (elec. politician)
{txt}{hline 28}{hline 1}{c TT}{hline 44}
{txt}        {txt}                     {c |}      Freq.    Percent      Valid       Cum.
{txt}{hline 28}{hline 1}{c +}{hline 44}
{txt}Valid   1 Very easy          {c |}{res}         15      24.59      65.22      65.22
{txt}        2 Somewhat easy      {c |}{res}          5       8.20      21.74      86.96
{txt}        3 Somewhat difficult {c |}{res}          2       3.28       8.70      95.65
{txt}        4 Very difficult     {c |}{res}          1       1.64       4.35     100.00
{txt}        Total                {c |}{res}         23      37.70     100.00           
{txt}Missing .                    {c |}{res}         38      62.30                      
{txt}Total                        {c |}{res}         61     100.00                      
{txt}{hline 28}{hline 1}{c BT}{hline 44}

{com}.         
.         gen test_budsect_epol = (budsect_epol != .)
{txt}
{com}.         replace test_budsect_epol = . if asked_survey == 0 
{txt}(37 real changes made, 37 to missing)

{com}.         replace test_budsect_epol = . if elecpol_ovrsee == 0
{txt}(1 real change made, 1 to missing)

{com}.         fre test_budsect_epol
{res}
{txt}test_budsect_epol
{txt}{hline 9}{hline 1}{c TT}{hline 44}
{txt}        {txt}  {c |}      Freq.    Percent      Valid       Cum.
{txt}{hline 9}{hline 1}{c +}{hline 44}
{txt}Valid   1 {c |}{res}         23      37.70     100.00     100.00
{txt}Missing . {c |}{res}         38      62.30                      
{txt}Total     {c |}{res}         61     100.00                      
{txt}{hline 9}{hline 1}{c BT}{hline 44}

{com}.         assert inlist(test_budsect_epol,.,1)
{txt}
{com}.         
.         drop test_budsect_epol
{txt}
{com}.         
.         * budsect_apol
.         
.         lab var budsect_apol "Find about budget allocation to sectors (app. politician)"
{txt}
{com}.         
.         fre budsect_apol
{res}
{txt}budsect_apol {hline 2} Find about budget allocation to sectors (app. politician)
{txt}{hline 8}{hline 1}{c TT}{hline 44}
{txt}        {txt} {c |}      Freq.    Percent      Valid       Cum.
{txt}{hline 8}{hline 1}{c +}{hline 44}
{txt}Missing  {c |}{res}         61     100.00                      
{txt}{hline 8}{hline 1}{c BT}{hline 44}

{com}.         
.         replace budsect_apol = "1" if regexm(budsect_apol,"Very easy")
{txt}(0 real changes made)

{com}.         replace budsect_apol = "2" if regexm(budsect_apol,"Somewhat easy")
{txt}(0 real changes made)

{com}.         replace budsect_apol = "3" if regexm(budsect_apol,"Somewhat difficult")
{txt}(0 real changes made)

{com}.         replace budsect_apol = "4" if regexm(budsect_apol,"Very difficult")
{txt}(0 real changes made)

{com}.         replace budsect_apol = "5" if regexm(budsect_apol,"Not applicable")
{txt}(0 real changes made)

{com}.         replace budsect_apol = "6" if regexm(budsect_apol,"Do not know")
{txt}(0 real changes made)

{com}.         
.         destring budsect_apol, replace
{txt}budsect_apol: all characters numeric; {res}replaced {txt}as {res}byte
{txt}(61 missing values generated)
{res}{txt}
{com}.         lab def budsect_apol 1 "Very easy" 2 "Somewhat easy" 3 "Somewhat difficult" 4 "Very difficult" 5 "Not applicable, this level of government has no spending power" 6 "Do not know / Refuse to answer"
{txt}
{com}.         lab val budsect_apol budsect_apol
{txt}
{com}.         
.         fre budsect_apol
{res}
{txt}budsect_apol {hline 2} Find about budget allocation to sectors (app. politician)
{txt}{hline 13}{hline 1}{c TT}{hline 44}
{txt}        {txt}      {c |}      Freq.    Percent      Valid       Cum.
{txt}{hline 13}{hline 1}{c +}{hline 44}
{txt}Missing .     {c |}{res}         61     100.00                      
{txt}{hline 13}{hline 1}{c BT}{hline 44}

{com}.         
.         gen test_budsect_apol = (budsect_apol != .)
{txt}
{com}.         replace test_budsect_apol = . if asked_survey == 0
{txt}(37 real changes made, 37 to missing)

{com}.         replace test_budsect_apol = . if aptpol_d == 0
{txt}(14 real changes made, 14 to missing)

{com}.         replace test_budsect_apol = . if elecpol_ovrsee == 1 
{txt}(10 real changes made, 10 to missing)

{com}.         fre test_budsect_apol
{res}
{txt}test_budsect_apol
{txt}{hline 9}{hline 1}{c TT}{hline 44}
{txt}        {txt}  {c |}      Freq.    Percent      Valid       Cum.
{txt}{hline 9}{hline 1}{c +}{hline 44}
{txt}Missing . {c |}{res}         61     100.00                      
{txt}{hline 9}{hline 1}{c BT}{hline 44}

{com}.         assert inlist(test_budsect_apol,.,1)
{txt}
{com}.         
.         drop test_budsect_apol
{txt}
{com}.         
.         * acinfexp_epol
.         
.         lab var acinfexp_epol "Obtain detailed info about expenditures (elec. politician)"
{txt}
{com}.         
.         fre acinfexp_epol
{res}
{txt}acinfexp_epol {hline 2} Obtain detailed info about expenditures (elec. politician)
{txt}{hline 26}{hline 1}{c TT}{hline 44}
{txt}        {txt}                   {c |}      Freq.    Percent      Valid       Cum.
{txt}{hline 26}{hline 1}{c +}{hline 44}
{txt}Valid   Somewhat difficult {c |}{res}          5       8.20      21.74      21.74
{txt}        Somewhat easy      {c |}{res}          3       4.92      13.04      34.78
{txt}        Very difficult     {c |}{res}          1       1.64       4.35      39.13
{txt}        Very easy          {c |}{res}         14      22.95      60.87     100.00
{txt}        Total              {c |}{res}         23      37.70     100.00           
{txt}Missing                    {c |}{res}         38      62.30                      
{txt}Total                      {c |}{res}         61     100.00                      
{txt}{hline 26}{hline 1}{c BT}{hline 44}

{com}.         
.         replace acinfexp_epol = "1" if regexm(acinfexp_epol,"Very easy")
{txt}(14 real changes made)

{com}.         replace acinfexp_epol = "2" if regexm(acinfexp_epol,"Somewhat easy")
{txt}(3 real changes made)

{com}.         replace acinfexp_epol = "3" if regexm(acinfexp_epol,"Somewhat difficult")
{txt}(5 real changes made)

{com}.         replace acinfexp_epol = "4" if regexm(acinfexp_epol,"Very difficult")
{txt}(1 real change made)

{com}.         replace acinfexp_epol = "5" if regexm(acinfexp_epol,"Not applicable")
{txt}(0 real changes made)

{com}.         replace acinfexp_epol = "6" if regexm(acinfexp_epol,"Do not know")
{txt}(0 real changes made)

{com}.         
.         destring acinfexp_epol, replace
{txt}acinfexp_epol: all characters numeric; {res}replaced {txt}as {res}byte
{txt}(38 missing values generated)
{res}{txt}
{com}.         lab def acinfexp_epol 1 "Very easy" 2 "Somewhat easy" 3 "Somewhat difficult" 4 "Very difficult" 5 "Not applicable, this level of government has no spending power" 6 "Do not know / Refuse to answer"
{txt}
{com}.         lab val acinfexp_epol acinfexp_epol
{txt}
{com}.         
.         fre acinfexp_epol
{res}
{txt}acinfexp_epol {hline 2} Obtain detailed info about expenditures (elec. politician)
{txt}{hline 28}{hline 1}{c TT}{hline 44}
{txt}        {txt}                     {c |}      Freq.    Percent      Valid       Cum.
{txt}{hline 28}{hline 1}{c +}{hline 44}
{txt}Valid   1 Very easy          {c |}{res}         14      22.95      60.87      60.87
{txt}        2 Somewhat easy      {c |}{res}          3       4.92      13.04      73.91
{txt}        3 Somewhat difficult {c |}{res}          5       8.20      21.74      95.65
{txt}        4 Very difficult     {c |}{res}          1       1.64       4.35     100.00
{txt}        Total                {c |}{res}         23      37.70     100.00           
{txt}Missing .                    {c |}{res}         38      62.30                      
{txt}Total                        {c |}{res}         61     100.00                      
{txt}{hline 28}{hline 1}{c BT}{hline 44}

{com}.         
.         gen test_acinfexp_epol = (acinfexp_epol != .)
{txt}
{com}.         replace test_acinfexp_epol = . if asked_survey == 0 
{txt}(37 real changes made, 37 to missing)

{com}.         replace test_acinfexp_epol = . if elecpol_ovrsee == 0
{txt}(1 real change made, 1 to missing)

{com}.         fre test_acinfexp_epol
{res}
{txt}test_acinfexp_epol
{txt}{hline 9}{hline 1}{c TT}{hline 44}
{txt}        {txt}  {c |}      Freq.    Percent      Valid       Cum.
{txt}{hline 9}{hline 1}{c +}{hline 44}
{txt}Valid   1 {c |}{res}         23      37.70     100.00     100.00
{txt}Missing . {c |}{res}         38      62.30                      
{txt}Total     {c |}{res}         61     100.00                      
{txt}{hline 9}{hline 1}{c BT}{hline 44}

{com}.         assert inlist(test_acinfexp_epol,.,1)
{txt}
{com}.         
.         drop test_acinfexp_epol
{txt}
{com}.         
.         * acinfexp_apol
.         
.         lab var acinfexp_apol "Obtain detailed info about expenditures (app. politician)"
{txt}
{com}.         
.         fre acinfexp_apol
{res}
{txt}acinfexp_apol {hline 2} Obtain detailed info about expenditures (app. politician)
{txt}{hline 8}{hline 1}{c TT}{hline 44}
{txt}        {txt} {c |}      Freq.    Percent      Valid       Cum.
{txt}{hline 8}{hline 1}{c +}{hline 44}
{txt}Missing  {c |}{res}         61     100.00                      
{txt}{hline 8}{hline 1}{c BT}{hline 44}

{com}.         
.         replace acinfexp_apol = "1" if regexm(acinfexp_apol,"Very easy")
{txt}(0 real changes made)

{com}.         replace acinfexp_apol = "2" if regexm(acinfexp_apol,"Somewhat easy")
{txt}(0 real changes made)

{com}.         replace acinfexp_apol = "3" if regexm(acinfexp_apol,"Somewhat difficult")
{txt}(0 real changes made)

{com}.         replace acinfexp_apol = "4" if regexm(acinfexp_apol,"Very difficult")
{txt}(0 real changes made)

{com}.         replace acinfexp_apol = "5" if regexm(acinfexp_apol,"Not applicable")
{txt}(0 real changes made)

{com}.         replace acinfexp_apol = "6" if regexm(acinfexp_apol,"Do not know")
{txt}(0 real changes made)

{com}.         
.         destring acinfexp_apol, replace
{txt}acinfexp_apol: all characters numeric; {res}replaced {txt}as {res}byte
{txt}(61 missing values generated)
{res}{txt}
{com}.         lab def acinfexp_apol 1 "Very easy" 2 "Somewhat easy" 3 "Somewhat difficult" 4 "Very difficult" 5 "Not applicable, this level of government has no spending power" 6 "Do not know / Refuse to answer"
{txt}
{com}.         lab val acinfexp_apol acinfexp_apol
{txt}
{com}.         
.         fre acinfexp_apol
{res}
{txt}acinfexp_apol {hline 2} Obtain detailed info about expenditures (app. politician)
{txt}{hline 13}{hline 1}{c TT}{hline 44}
{txt}        {txt}      {c |}      Freq.    Percent      Valid       Cum.
{txt}{hline 13}{hline 1}{c +}{hline 44}
{txt}Missing .     {c |}{res}         61     100.00                      
{txt}{hline 13}{hline 1}{c BT}{hline 44}

{com}.         
.         gen test_acinfexp_apol = (acinfexp_apol != .)
{txt}
{com}.         replace test_acinfexp_apol = . if asked_survey == 0
{txt}(37 real changes made, 37 to missing)

{com}.         replace test_acinfexp_apol = . if aptpol_d == 0
{txt}(14 real changes made, 14 to missing)

{com}.         replace test_acinfexp_apol = . if elecpol_ovrsee == 1 
{txt}(10 real changes made, 10 to missing)

{com}.         fre test_acinfexp_apol
{res}
{txt}test_acinfexp_apol
{txt}{hline 9}{hline 1}{c TT}{hline 44}
{txt}        {txt}  {c |}      Freq.    Percent      Valid       Cum.
{txt}{hline 9}{hline 1}{c +}{hline 44}
{txt}Missing . {c |}{res}         61     100.00                      
{txt}{hline 9}{hline 1}{c BT}{hline 44}

{com}.         assert inlist(test_acinfexp_apol,.,1)
{txt}
{com}.         
.         drop test_acinfexp_apol
{txt}
{com}.         
.         
.         e

{txt}end of do-file


{com}. do "/Users/fredericcochinard/Dropbox/Expert survey/Code/2.importing_data.do"
{txt}
{com}. 
.         * Purpose: Importing data to run HFC
.         
.         * Setting up globals
.         
.         if "`c(username)'" == "fredericcochinard" {c -(}
.                 
.                 global import_folder "/Users/fredericcochinard/Dropbox/Expert survey/Data/0.survey_dataset/0.import"
.                 global output "/Users/fredericcochinard/Dropbox/Expert survey/Data/0.survey_dataset/1.output"
.                 
.                 {c )-}
{txt}
{com}.                 
.         if "`c(username)'" == "" {c -(}
.         
.                 
.                 {c )-}
{txt}
{com}.         
.         * Looking for renaming folder with problem
.         
.         local myfiles: dir "$import_folder" files "*.xlsx"
{txt}
{com}. 
.         foreach file of local myfiles {c -(}
{txt}  2{com}.                 
.                 local subfile = substr("`file'", 1, .)
{txt}  3{com}.                 local subfile : subinstr local subfile " " "_", all
{txt}  4{com}.                 ! mv "${c -(}import_folder{c )-}/`file'" "${c -(}import_folder{c )-}/`subfile'"
{txt}  5{com}.                 
.                 {c )-}
{txt}

{com}.         
.         * Looking for dataset
.         
.         filelist , dir("$import_folder") pat("*.xlsx")
{res}{txt}Number of files found = {res}1
{txt}
{com}.         
.         gen url = filename
{txt}
{com}.         
.         levelsof url
{txt}`"Expert_survey_February_18,_2025_16.23.xlsx"'

{com}. 
.         local lvlfiles `r(levels)'
{txt}
{com}.         
.         local z = 0
{txt}
{com}.         
.         foreach lvl of local lvlfiles {c -(}
{txt}  2{com}.         
.                 local z = `z' + 1
{txt}  3{com}.                 
.                 local temp : subinstr local lvl `"""' "", all
{txt}  4{com}.                 local url : subinstr local temp "'" "", all
{txt}  5{com}.         
.                 import excel "${c -(}import_folder{c )-}/`url'", first case(lower) clear
{txt}  6{com}.                 
.                 gen num = _n
{txt}  7{com}.                 drop if num == 1
{txt}  8{com}.                 
.                 * Preparing the append
.                 
.                 tempfile data`z'
{txt}  9{com}.                 sa "`data`z''"
{txt} 10{com}.                 
.                 {c )-}
{res}{txt}(1 observation deleted)
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.000001 saved

{com}.                 
.         * We append the dataset to start cleaning
.         
.         use "`data1'", clear
{txt}
{com}.         
.         forvalues x = 2/`z' {c -(}
{txt}  2{com}.         
.                 append using "`data`x''"
{txt}  3{com}.                 
.                 {c )-}
{txt}
{com}.                 
.         duplicates drop

{p 0 4}{txt}Duplicates in terms of {txt} all variables{p_end}

(0 observations are duplicates)

{com}.         
.         * We keep relevant variable
.         drop if recipientemail == "frederic.cochinard@gmail.com"
{txt}(8 observations deleted)

{com}.         drop if recipientemail == "vedpant+spanish@college.harvard.edu"
{txt}(1 observation deleted)

{com}.         drop if recipientemail == "frederic.cochinard+3@gmail.com"
{txt}(1 observation deleted)

{com}.         drop if recipientemail == "frederic.cochinard+1@gmail.com"
{txt}(1 observation deleted)

{com}.         
.         * We remove observation that are not finished
.         drop if finished == "False"
{txt}(9 observations deleted)

{com}.         
.         * We create a save
.         
.         tempfile save_data
{txt}
{com}.         sa "`save_data'"
{txt}file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.000002 saved

{com}.         
.         ******************
.         * Payment module *
.         ******************
.         
.         preserve
{txt}
{com}.         
.         keep responseid method_pay_bank_in_q-q977
{txt}
{com}.         compress
  {txt}variable {bf}method_pay_bank_in_q{sf} was {bf}{res}str237{sf}{txt} now {bf}{res}str24{sf}
  {txt}variable {bf}expert_donation_org{sf} was {bf}{res}str129{sf}{txt} now {bf}{res}str23{sf}
  {txt}variable {bf}q967{sf} was {bf}{res}str236{sf}{txt} now {bf}{res}str65{sf}
  {txt}variable {bf}q978{sf} was {bf}{res}str326{sf}{txt} now {bf}{res}str16{sf}
  {txt}variable {bf}q979{sf} was {bf}{res}str104{sf}{txt} now {bf}{res}str39{sf}
  {txt}variable {bf}q980{sf} was {bf}{res}str95{sf}{txt} now {bf}{res}str11{sf}
  {txt}variable {bf}q987{sf} was {bf}{res}str170{sf}{txt} now {bf}{res}str24{sf}
  {txt}variable {bf}q984{sf} was {bf}{res}str326{sf}{txt} now {bf}{res}str1{sf}
  {txt}variable {bf}q985{sf} was {bf}{res}str104{sf}{txt} now {bf}{res}str1{sf}
  {txt}variable {bf}q986{sf} was {bf}{res}str95{sf}{txt} now {bf}{res}str1{sf}
  {txt}variable {bf}q988{sf} was {bf}{res}str170{sf}{txt} now {bf}{res}str1{sf}
  {txt}variable {bf}q989{sf} was {bf}{res}str559{sf}{txt} now {bf}{res}str1{sf}
  {txt}variable {bf}q990{sf} was {bf}{res}str102{sf}{txt} now {bf}{res}str1{sf}
  {txt}variable {bf}q991{sf} was {bf}{res}str93{sf}{txt} now {bf}{res}str1{sf}
  {txt}variable {bf}q992{sf} was {bf}{res}str170{sf}{txt} now {bf}{res}str1{sf}
  {txt}variable {bf}q998{sf} was {bf}{res}str537{sf}{txt} now {bf}{res}str1{sf}
  {txt}variable {bf}q997{sf} was {bf}{res}str105{sf}{txt} now {bf}{res}str1{sf}
  {txt}variable {bf}q999{sf} was {bf}{res}str104{sf}{txt} now {bf}{res}str1{sf}
  {txt}variable {bf}q1000{sf} was {bf}{res}str95{sf}{txt} now {bf}{res}str1{sf}
  {txt}variable {bf}q1001{sf} was {bf}{res}str170{sf}{txt} now {bf}{res}str1{sf}
  {txt}variable {bf}q977{sf} was {bf}{res}str502{sf}{txt} now {bf}{res}str23{sf}
{txt}  (46,101 bytes saved)

{com}.         
.         * Donate_d
.         
.         gen donate_d = 0
{txt}
{com}.         replace donate_d = 1 if method_pay_bank_in_q == "I prefer to donate"
{txt}(3 real changes made)

{com}.         
.         * Special case
.         replace donate_d = 1 if responseid == "R_4ouc7tR6BFj3gpb" // respondent is refusing to take money in comments
{txt}(1 real change made)

{com}.         replace donate_d = 1 if responseid == "R_4Iow7YzsoT2KTOx" // respondent is writing cancel in comments
{txt}(1 real change made)

{com}.         
.         lab var donate_d "Respondent decided to donate"
{txt}
{com}.         lab def donate_d 0 "No" 1 "Yes"
{txt}
{com}.         lab val donate_d donate_d
{txt}
{com}.         order donate_d, after(responseid)
{txt}
{com}.         
.         * Org
.         
.         gen org_donation_id = "" 
{txt}(11 missing values generated)

{com}.         replace org_donation_id = expert_donation_org if donate_d == 1
{txt}variable {bf}org_donation_id{sf} was {bf}{res}str1{sf}{txt} now {bf}{res}str23{sf}
{txt}(3 real changes made)

{com}.         replace org_donation_id = "No choice" if donate_d == 1 & org_donation_id == ""
{txt}(2 real changes made)

{com}.         lab var org_donation_id "Name of the organization the respondent chose to donate"
{txt}
{com}.         order org_donation_id, after(donate_d)
{txt}
{com}.         
.         * Paid status
.         
.         gen paid_status = 0
{txt}
{com}.         replace paid_status = 2 if donate_d == 1
{txt}(5 real changes made)

{com}.         
.         * Case of payment
.         
.         lab var paid_status "Status of payment of the respondent"
{txt}
{com}.         lab def paid_status 0 "Not yet" 1 "Yes" 2 "Donation"
{txt}
{com}.         lab val paid_status paid_status
{txt}
{com}.         order paid_status, after(org_donation_id)
{txt}
{com}.         
.         keep responseid donate_d org_donation_id paid_status
{txt}
{com}.         
.         tempfile payment_module
{txt}
{com}.         sa "`payment_module'"
{txt}file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.000004 saved

{com}.         
.         restore
{txt}
{com}.         
.         * Main form of survey 
.         keep country full_name recipientemail responseid progress durationinseconds finished userlanguage num_unit confirmation_* ///
>         title_bur* elecpol_ovrsee* title_elecpol* aptpol_d* title_aptpol* who_aptpol* mostinf_servdel* educ_elecpolbur* ///
>         educ_apolbur* slry_elecpolbur* slry_apolbur* fdout_epol_bgt* fdout_apol_bgt* budsect_epol* budsect_apol* acinfexp_epol* /// 
>         acinfexp_apol* understand_epol* understand_apol* acttake_epol* acttake_epol* acttake_apol* acttake_apol* likely* why_likchan* /// 
>         who_apt_bur* who_apt_bur* who_fir_bur* who_fir_bur* ocap_epol* ocap_apol* prio_epol* prio_apol* overall_conf* avg_educ_epol* ///
>         avg_educ_apol* avg_educ_buro* avg_slry_epol* avg_slry_apol* avg_slry_buro* //
{txt}
{com}.         
.         destring durationinseconds progress, replace
{txt}durationinseconds: all characters numeric; {res}replaced {txt}as {res}int
{txt}progress: all characters numeric; {res}replaced {txt}as {res}byte
{txt}
{com}.         replace durationinseconds = round(durationinseconds/60)
{txt}(11 real changes made)

{com}.         ren durationinseconds duration_minutes
{res}{txt}
{com}. 
.         *--
.         
.         local id country full_name recipientemail responseid userlanguage num_unit finished progress duration_minutes
{txt}
{com}.         
.         order `id', first
{txt}
{com}.         duplicates drop `id', force

{p 0 4}{txt}Duplicates in terms of {res} country full_name recipientemail responseid userlanguage num_unit finished progress duration_minutes{p_end}

{txt}(0 observations are duplicates)

{com}.         
.         * Renaming others
.         
.         forvalues x = 1/3 {c -(}
{txt}  2{com}.                 
.                 forvalues y = 1/6 {c -(} 
{txt}  3{com}.                 
.                         cap ren who_apt_bur_`x'_`y'_8_text who_apt_buroth_`x'_`y'
{txt}  4{com}.                         cap ren who_fir_bur_`x'_`y'_8_text who_fir_buroth_`x'_`y'
{txt}  5{com}.                         cap ren acttake_epol_`x'_`y'_9_text acttake_epoloth_`x'_`y'
{txt}  6{com}.                         cap ren acttake_apol_`x'_`y'_9_text acttake_apoloth_`x'_`y'
{txt}  7{com}.                         
.                         {c )-}
{txt}  8{com}.                         
.                 {c )-}
{txt}
{com}.         
.         #delimit ;
{txt}delimiter now ;
{com}.         local var confirmation
>         title_bur 
>         elecpol_ovrsee
>         title_elecpol
>         aptpol_d
>         title_aptpol
>         who_aptpol
>         mostinf_servdel
>         educ_elecpolbur
>         educ_apolbur
>         slry_elecpolbur
>         slry_apolbur
>         fdout_epol_bgt
>         fdout_apol_bgt
>         budsect_epol
>         budsect_apol
>         acinfexp_epol
>         acinfexp_apol
>         understand_epol
>         understand_apol
>         acttake_epol
>         acttake_epoloth
>         acttake_apol
>         acttake_apoloth
>         likely
>         why_likchan
>         who_apt_bur
>         who_apt_buroth
>         who_fir_bur
>         who_fir_buroth
>         ocap_epol
>         ocap_apol
>         prio_epol
>         prio_apol
>         overall_conf
>         avg_educ_epol
>         avg_educ_apol
>         avg_educ_buro
>         avg_slry_epol
>         avg_slry_apol
>         avg_slry_buro
>         
>         ;
{txt}
{com}.                 #delimit cr
{txt}delimiter now cr
{com}. 
.         reshape long `var', i(`id') j(pos) s
{txt}(note: j = _1_1 _1_4 _1_5 _1_6 _2_1 _2_2 _2_4 _2_5 _2_6 _3_1 _3_2 _3_3 _3_4 _3_5 _3_6)
(note: confirmation_1_4 not found)
(note: confirmation_1_5 not found)
(note: confirmation_1_6 not found)
(note: confirmation_2_4 not found)
(note: confirmation_2_5 not found)
(note: confirmation_2_6 not found)
(note: confirmation_3_4 not found)
(note: confirmation_3_5 not found)
(note: confirmation_3_6 not found)

Data{col 36}wide{col 43}->{col 48}long
{hline 77}
Number of obs.                 {res}      11   {txt}->{res}     165
{txt}Number of variables            {res}     615   {txt}->{res}      51
{txt}j variable (15 values)                    ->   {res}pos
{txt}xij variables:
{res}confirmation_1_1 confirmation_1_4 ... confirmation_3_6{txt}->{res}confirmation
title_bur_1_1 title_bur_1_4 ... title_bur_3_6{txt}->{res}title_bur
elecpol_ovrsee_1_1 elecpol_ovrsee_1_4 ... elecpol_ovrsee_3_6{txt}->{res}elecpol_ovrsee
title_elecpol_1_1 title_elecpol_1_4 ... title_elecpol_3_6{txt}->{res}title_elecpol
aptpol_d_1_1 aptpol_d_1_4 ... aptpol_d_3_6{txt}->   {res}aptpol_d
title_aptpol_1_1 title_aptpol_1_4 ... title_aptpol_3_6{txt}->{res}title_aptpol
who_aptpol_1_1 who_aptpol_1_4 ... who_aptpol_3_6{txt}->{res}who_aptpol
mostinf_servdel_1_1 mostinf_servdel_1_4 ... mostinf_servdel_3_6{txt}->{res}mostinf_servdel
educ_elecpolbur_1_1 educ_elecpolbur_1_4 ... educ_elecpolbur_3_6{txt}->{res}educ_elecpolbur
educ_apolbur_1_1 educ_apolbur_1_4 ... educ_apolbur_3_6{txt}->{res}educ_apolbur
slry_elecpolbur_1_1 slry_elecpolbur_1_4 ... slry_elecpolbur_3_6{txt}->{res}slry_elecpolbur
slry_apolbur_1_1 slry_apolbur_1_4 ... slry_apolbur_3_6{txt}->{res}slry_apolbur
fdout_epol_bgt_1_1 fdout_epol_bgt_1_4 ... fdout_epol_bgt_3_6{txt}->{res}fdout_epol_bgt
fdout_apol_bgt_1_1 fdout_apol_bgt_1_4 ... fdout_apol_bgt_3_6{txt}->{res}fdout_apol_bgt
budsect_epol_1_1 budsect_epol_1_4 ... budsect_epol_3_6{txt}->{res}budsect_epol
budsect_apol_1_1 budsect_apol_1_4 ... budsect_apol_3_6{txt}->{res}budsect_apol
acinfexp_epol_1_1 acinfexp_epol_1_4 ... acinfexp_epol_3_6{txt}->{res}acinfexp_epol
acinfexp_apol_1_1 acinfexp_apol_1_4 ... acinfexp_apol_3_6{txt}->{res}acinfexp_apol
understand_epol_1_1 understand_epol_1_4 ... understand_epol_3_6{txt}->{res}understand_epol
understand_apol_1_1 understand_apol_1_4 ... understand_apol_3_6{txt}->{res}understand_apol
acttake_epol_1_1 acttake_epol_1_4 ... acttake_epol_3_6{txt}->{res}acttake_epol
acttake_epoloth_1_1 acttake_epoloth_1_4 ... acttake_epoloth_3_6{txt}->{res}acttake_epoloth
acttake_apol_1_1 acttake_apol_1_4 ... acttake_apol_3_6{txt}->{res}acttake_apol
acttake_apoloth_1_1 acttake_apoloth_1_4 ... acttake_apoloth_3_6{txt}->{res}acttake_apoloth
   likely_1_1 likely_1_4 ... likely_3_6   {txt}->   {res}likely
why_likchan_1_1 why_likchan_1_4 ... why_likchan_3_6{txt}->{res}why_likchan
who_apt_bur_1_1 who_apt_bur_1_4 ... who_apt_bur_3_6{txt}->{res}who_apt_bur
who_apt_buroth_1_1 who_apt_buroth_1_4 ... who_apt_buroth_3_6{txt}->{res}who_apt_buroth
who_fir_bur_1_1 who_fir_bur_1_4 ... who_fir_bur_3_6{txt}->{res}who_fir_bur
who_fir_buroth_1_1 who_fir_buroth_1_4 ... who_fir_buroth_3_6{txt}->{res}who_fir_buroth
ocap_epol_1_1 ocap_epol_1_4 ... ocap_epol_3_6{txt}->{res}ocap_epol
ocap_apol_1_1 ocap_apol_1_4 ... ocap_apol_3_6{txt}->{res}ocap_apol
prio_epol_1_1 prio_epol_1_4 ... prio_epol_3_6{txt}->{res}prio_epol
prio_apol_1_1 prio_apol_1_4 ... prio_apol_3_6{txt}->{res}prio_apol
overall_conf_1_1 overall_conf_1_4 ... overall_conf_3_6{txt}->{res}overall_conf
avg_educ_epol_1_1 avg_educ_epol_1_4 ... avg_educ_epol_3_6{txt}->{res}avg_educ_epol
avg_educ_apol_1_1 avg_educ_apol_1_4 ... avg_educ_apol_3_6{txt}->{res}avg_educ_apol
avg_educ_buro_1_1 avg_educ_buro_1_4 ... avg_educ_buro_3_6{txt}->{res}avg_educ_buro
avg_slry_epol_1_1 avg_slry_epol_1_4 ... avg_slry_epol_3_6{txt}->{res}avg_slry_epol
avg_slry_apol_1_1 avg_slry_apol_1_4 ... avg_slry_apol_3_6{txt}->{res}avg_slry_apol
avg_slry_buro_1_1 avg_slry_buro_1_4 ... avg_slry_buro_3_6{txt}->{res}avg_slry_buro
{txt}{hline 77}

{com}.         
.         * Filter data
.         
.         split pos, p("_")
{res}variables created as string: 
{txt}{col 1}pos1{col 7}pos2{col 13}pos3

{com}.         
.         drop pos1
{txt}
{com}.         ren pos2 case_n_unit
{res}{txt}
{com}.         ren pos3 unit_num
{res}{txt}
{com}.         destring case_n_unit unit_num, replace
{txt}case_n_unit: all characters numeric; {res}replaced {txt}as {res}byte
{txt}unit_num: all characters numeric; {res}replaced {txt}as {res}byte
{txt}
{com}.         order case_n_unit unit_num, after(duration_minutes)
{txt}
{com}.         drop pos
{txt}
{com}.         
.         destring num_unit, replace
{txt}num_unit: all characters numeric; {res}replaced {txt}as {res}byte
{txt}
{com}.         drop if num_unit != case_n_unit
{txt}(104 observations deleted)

{com}.         drop num_unit
{txt}
{com}.         
.         compress
  {txt}variable {bf}country{sf} was {bf}{res}str15{sf}{txt} now {bf}{res}str11{sf}
  {txt}variable {bf}full_name{sf} was {bf}{res}str28{sf}{txt} now {bf}{res}str23{sf}
  {txt}variable {bf}recipientemail{sf} was {bf}{res}str35{sf}{txt} now {bf}{res}str32{sf}
  {txt}variable {bf}userlanguage{sf} was {bf}{res}str13{sf}{txt} now {bf}{res}str2{sf}
  {txt}variable {bf}finished{sf} was {bf}{res}str8{sf}{txt} now {bf}{res}str4{sf}
  {txt}variable {bf}title_bur{sf} was {bf}{res}str448{sf}{txt} now {bf}{res}str235{sf}
  {txt}variable {bf}elecpol_ovrsee{sf} was {bf}{res}str352{sf}{txt} now {bf}{res}str3{sf}
  {txt}variable {bf}title_elecpol{sf} was {bf}{res}str312{sf}{txt} now {bf}{res}str288{sf}
  {txt}variable {bf}aptpol_d{sf} was {bf}{res}str332{sf}{txt} now {bf}{res}str30{sf}
  {txt}variable {bf}who_aptpol{sf} was {bf}{res}str96{sf}{txt} now {bf}{res}str84{sf}
  {txt}variable {bf}mostinf_servdel{sf} was {bf}{res}str256{sf}{txt} now {bf}{res}str44{sf}
  {txt}variable {bf}educ_elecpolbur{sf} was {bf}{res}str258{sf}{txt} now {bf}{res}str51{sf}
  {txt}variable {bf}educ_apolbur{sf} was {bf}{res}str260{sf}{txt} now {bf}{res}str1{sf}
  {txt}variable {bf}slry_elecpolbur{sf} was {bf}{res}str316{sf}{txt} now {bf}{res}str47{sf}
  {txt}variable {bf}slry_apolbur{sf} was {bf}{res}str318{sf}{txt} now {bf}{res}str1{sf}
  {txt}variable {bf}fdout_epol_bgt{sf} was {bf}{res}str373{sf}{txt} now {bf}{res}str19{sf}
  {txt}variable {bf}fdout_apol_bgt{sf} was {bf}{res}str375{sf}{txt} now {bf}{res}str1{sf}
  {txt}variable {bf}budsect_epol{sf} was {bf}{res}str217{sf}{txt} now {bf}{res}str19{sf}
  {txt}variable {bf}budsect_apol{sf} was {bf}{res}str219{sf}{txt} now {bf}{res}str1{sf}
  {txt}variable {bf}acinfexp_epol{sf} was {bf}{res}str216{sf}{txt} now {bf}{res}str19{sf}
  {txt}variable {bf}acinfexp_apol{sf} was {bf}{res}str218{sf}{txt} now {bf}{res}str1{sf}
  {txt}variable {bf}understand_epol{sf} was {bf}{res}str214{sf}{txt} now {bf}{res}str21{sf}
  {txt}variable {bf}understand_apol{sf} was {bf}{res}str216{sf}{txt} now {bf}{res}str21{sf}
  {txt}variable {bf}acttake_epol{sf} was {bf}{res}str247{sf}{txt} now {bf}{res}str163{sf}
  {txt}variable {bf}acttake_epoloth{sf} was {bf}{res}str261{sf}{txt} now {bf}{res}str63{sf}
  {txt}variable {bf}acttake_apol{sf} was {bf}{res}str250{sf}{txt} now {bf}{res}str1{sf}
  {txt}variable {bf}acttake_apoloth{sf} was {bf}{res}str264{sf}{txt} now {bf}{res}str1{sf}
  {txt}variable {bf}likely{sf} was {bf}{res}str159{sf}{txt} now {bf}{res}str18{sf}
  {txt}variable {bf}who_apt_bur{sf} was {bf}{res}str126{sf}{txt} now {bf}{res}str64{sf}
  {txt}variable {bf}who_fir_bur{sf} was {bf}{res}str120{sf}{txt} now {bf}{res}str64{sf}
  {txt}variable {bf}who_fir_buroth{sf} was {bf}{res}str134{sf}{txt} now {bf}{res}str77{sf}
  {txt}variable {bf}ocap_epol{sf} was {bf}{res}str359{sf}{txt} now {bf}{res}str55{sf}
  {txt}variable {bf}ocap_apol{sf} was {bf}{res}str361{sf}{txt} now {bf}{res}str1{sf}
  {txt}variable {bf}prio_epol{sf} was {bf}{res}str209{sf}{txt} now {bf}{res}str73{sf}
  {txt}variable {bf}prio_apol{sf} was {bf}{res}str211{sf}{txt} now {bf}{res}str1{sf}
  {txt}variable {bf}overall_conf{sf} was {bf}{res}str191{sf}{txt} now {bf}{res}str17{sf}
  {txt}variable {bf}avg_educ_buro{sf} was {bf}{res}str117{sf}{txt} now {bf}{res}str101{sf}
  {txt}variable {bf}avg_slry_apol{sf} was {bf}{res}str134{sf}{txt} now {bf}{res}str128{sf}
  {txt}variable {bf}avg_slry_buro{sf} was {bf}{res}str134{sf}{txt} now {bf}{res}str87{sf}
  {txt}variable {bf}confirmation{sf} was {bf}{res}str1148{sf}{txt} now {bf}{res}str63{sf}
{txt}  (462,685 bytes saved)

{com}.         
.         * We edit the label 
.         
.         lab var country "Country"
{txt}
{com}.         lab var full_name  "Full name of recipient"
{txt}
{com}.         lab var recipientemail "Recipient email"
{txt}
{com}.         lab var userlanguage "Language used to answer"
{txt}
{com}.         lab var finished "Completion status"
{txt}
{com}.         lab var progress "Progress"
{txt}
{com}.         lab var duration_minutes "Duration in minutes"
{txt}
{com}.         lab var case_n_unit "Original number of entities"
{txt}
{com}.         lab var unit_num "Unit number"
{txt}
{com}.         
.         * Confirmation
.         
.         fre confirmation
{res}
{txt}confirmation
{txt}{hline 54}{hline 1}{c TT}{hline 44}
{txt}        {txt}                                               {c |}      Freq.    Percent      Valid       Cum.
{txt}{hline 54}{hline 1}{c +}{hline 44}
{txt}Valid   No, this is inaccurate. This level needs to be {c |}{res}          2       3.28       7.14       7.14
{txt}        replaced/deleted                               {c |}{res}                                            
{txt}        No, this level needs to be replaced/deleted    {c |}{res}          2       3.28       7.14      14.29
{txt}        Yes, this is accurate                          {c |}{res}         24      39.34      85.71     100.00
{txt}        Total                                          {c |}{res}         28      45.90     100.00           
{txt}Missing                                                {c |}{res}         33      54.10                      
{txt}Total                                                  {c |}{res}         61     100.00                      
{txt}{hline 54}{hline 1}{c BT}{hline 44}

{com}.         replace confirmation = "1" if confirmation == "Yes, this is accurate"
{txt}(24 real changes made)

{com}.         replace confirmation = "0" if regexm(confirmation,"No")
{txt}(4 real changes made)

{com}.         destring confirmation, replace
{txt}confirmation: all characters numeric; {res}replaced {txt}as {res}byte
{txt}(33 missing values generated)
{res}{txt}
{com}.         
.         lab var confirmation "Confirmation of adequacy of unit"
{txt}
{com}.         lab def confirmation 0 "No, this is not accurate. It should be replaced/deleted" 1 "Yes, this is accurate"
{txt}
{com}.         lab val confirmation confirmation
{txt}
{com}.         
.         fre confirmation
{res}
{txt}confirmation {hline 2} Confirmation of adequacy of unit
{txt}{hline 48}{hline 1}{c TT}{hline 44}
{txt}        {txt}                                         {c |}      Freq.    Percent      Valid       Cum.
{txt}{hline 48}{hline 1}{c +}{hline 44}
{txt}Valid   0 No, this is not accurate. It should be {c |}{res}          4       6.56      14.29      14.29
{txt}          replaced/deleted                       {c |}{res}                                            
{txt}        1 Yes, this is accurate                  {c |}{res}         24      39.34      85.71     100.00
{txt}        Total                                    {c |}{res}         28      45.90     100.00           
{txt}Missing .                                        {c |}{res}         33      54.10                      
{txt}Total                                            {c |}{res}         61     100.00                      
{txt}{hline 48}{hline 1}{c BT}{hline 44}

{com}.         
.         order confirmation, after(unit_num)
{txt}
{com}.         
.         * Creating variable about asked_survey (should be updated)
.         
.         gen asked_survey = 0
{txt}
{com}.         replace asked_survey = 1 if confirmation == 1
{txt}(24 real changes made)

{com}.         lab var asked_survey "Survey question asked to respondent"
{txt}
{com}.         lab def yesno 0 "No" 1 "Yes"
{txt}
{com}.         lab val asked_survey yesno
{txt}
{com}.         order asked_survey, after(confirmation)
{txt}
{com}.         
.         * title_bur
.         
.         lab var title_bur "Title of the highest-level bureaucrat in unit"
{txt}
{com}.         
.         gen test_title_bur = (title_bur != "")
{txt}
{com}.         replace test_title_bur = . if asked_survey == 0
{txt}(37 real changes made, 37 to missing)

{com}.         fre test_title_bur
{res}
{txt}test_title_bur
{txt}{hline 9}{hline 1}{c TT}{hline 44}
{txt}        {txt}  {c |}      Freq.    Percent      Valid       Cum.
{txt}{hline 9}{hline 1}{c +}{hline 44}
{txt}Valid   1 {c |}{res}         24      39.34     100.00     100.00
{txt}Missing . {c |}{res}         37      60.66                      
{txt}Total     {c |}{res}         61     100.00                      
{txt}{hline 9}{hline 1}{c BT}{hline 44}

{com}.         assert inlist(test_title_bur,.,1)
{txt}
{com}.         
.         drop test_title_bur
{txt}
{com}.         
.         * elecpol_ovrsee
.         
.         lab var elecpol_ovrsee "Any politicians in unit overseeing service delivery"
{txt}
{com}.         replace elecpol_ovrsee = "0" if elecpol_ovrsee == "No"
{txt}(2 real changes made)

{com}.         replace elecpol_ovrsee = "1" if elecpol_ovrsee == "Yes"
{txt}(23 real changes made)

{com}.         destring elecpol_ovrsee, replace
{txt}elecpol_ovrsee: all characters numeric; {res}replaced {txt}as {res}byte
{txt}(36 missing values generated)
{res}{txt}
{com}.         lab val elecpol_ovrsee yesno
{txt}
{com}.         
.         fre elecpol_ovrsee
{res}
{txt}elecpol_ovrsee {hline 2} Any politicians in unit overseeing service delivery
{txt}{hline 13}{hline 1}{c TT}{hline 44}
{txt}        {txt}      {c |}      Freq.    Percent      Valid       Cum.
{txt}{hline 13}{hline 1}{c +}{hline 44}
{txt}Valid   0 No  {c |}{res}          2       3.28       8.00       8.00
{txt}        1 Yes {c |}{res}         23      37.70      92.00     100.00
{txt}        Total {c |}{res}         25      40.98     100.00           
{txt}Missing .     {c |}{res}         36      59.02                      
{txt}Total         {c |}{res}         61     100.00                      
{txt}{hline 13}{hline 1}{c BT}{hline 44}

{com}.         
.         gen test_elecpol_ovrsee = (elecpol_ovrsee != .)
{txt}
{com}.         replace test_elecpol_ovrsee = . if asked_survey == 0
{txt}(37 real changes made, 37 to missing)

{com}.         fre test_elecpol_ovrsee
{res}
{txt}test_elecpol_ovrsee
{txt}{hline 9}{hline 1}{c TT}{hline 44}
{txt}        {txt}  {c |}      Freq.    Percent      Valid       Cum.
{txt}{hline 9}{hline 1}{c +}{hline 44}
{txt}Valid   1 {c |}{res}         24      39.34     100.00     100.00
{txt}Missing . {c |}{res}         37      60.66                      
{txt}Total     {c |}{res}         61     100.00                      
{txt}{hline 9}{hline 1}{c BT}{hline 44}

{com}.         assert inlist(test_elecpol_ovrsee,.,1)
{txt}
{com}.         
.         drop test_elecpol_ovrsee
{txt}
{com}.         
.         * title_elecpol
.         
.         lab var title_elecpol "Title of the highest-level elected politician in unit"
{txt}
{com}.         
.         gen test_title_elecpol = (title_elecpol != "")
{txt}
{com}.         replace test_title_elecpol = . if asked_survey == 0
{txt}(37 real changes made, 37 to missing)

{com}.         replace test_title_elecpol = . if elecpol_ovrsee == 0
{txt}(1 real change made, 1 to missing)

{com}.         fre test_title_elecpol
{res}
{txt}test_title_elecpol
{txt}{hline 9}{hline 1}{c TT}{hline 44}
{txt}        {txt}  {c |}      Freq.    Percent      Valid       Cum.
{txt}{hline 9}{hline 1}{c +}{hline 44}
{txt}Valid   1 {c |}{res}         23      37.70     100.00     100.00
{txt}Missing . {c |}{res}         38      62.30                      
{txt}Total     {c |}{res}         61     100.00                      
{txt}{hline 9}{hline 1}{c BT}{hline 44}

{com}.         assert inlist(test_title_elecpol,.,1)
{txt}
{com}.         
.         drop test_title_elecpol
{txt}
{com}.         
.         * aptpol_d
.         
.         fre aptpol_d
{res}
{txt}aptpol_d
{txt}{hline 38}{hline 1}{c TT}{hline 44}
{txt}        {txt}                               {c |}      Freq.    Percent      Valid       Cum.
{txt}{hline 38}{hline 1}{c +}{hline 44}
{txt}Valid   Do not know / Refuse to answer {c |}{res}          1       1.64       4.00       4.00
{txt}        No                             {c |}{res}         15      24.59      60.00      64.00
{txt}        Yes                            {c |}{res}          9      14.75      36.00     100.00
{txt}        Total                          {c |}{res}         25      40.98     100.00           
{txt}Missing                                {c |}{res}         36      59.02                      
{txt}Total                                  {c |}{res}         61     100.00                      
{txt}{hline 38}{hline 1}{c BT}{hline 44}

{com}.         
.         lab var aptpol_d "Politician appointed by higher politician in unit"
{txt}
{com}.         replace aptpol_d = "0" if aptpol_d == "No"
{txt}(15 real changes made)

{com}.         replace aptpol_d = "1" if aptpol_d == "Yes"
{txt}(9 real changes made)

{com}.         replace aptpol_d = "-98" if aptpol_d == "Do not know / Refuse to answer"
{txt}(1 real change made)

{com}.         destring aptpol_d, replace
{txt}aptpol_d: all characters numeric; {res}replaced {txt}as {res}byte
{txt}(36 missing values generated)
{res}{txt}
{com}.         lab val aptpol_d yesno
{txt}
{com}.         
.         fre aptpol_d
{res}
{txt}aptpol_d {hline 2} Politician appointed by higher politician in unit
{txt}{hline 15}{hline 1}{c TT}{hline 44}
{txt}        {txt}        {c |}      Freq.    Percent      Valid       Cum.
{txt}{hline 15}{hline 1}{c +}{hline 44}
{txt}Valid   -98     {c |}{res}          1       1.64       4.00       4.00
{txt}        0   No  {c |}{res}         15      24.59      60.00      64.00
{txt}        1   Yes {c |}{res}          9      14.75      36.00     100.00
{txt}        Total   {c |}{res}         25      40.98     100.00           
{txt}Missing .       {c |}{res}         36      59.02                      
{txt}Total           {c |}{res}         61     100.00                      
{txt}{hline 15}{hline 1}{c BT}{hline 44}

{com}.         
.         gen test_aptpol_d = (aptpol_d != .)
{txt}
{com}.         replace test_aptpol_d = . if asked_survey == 0
{txt}(37 real changes made, 37 to missing)

{com}.         fre test_aptpol_d
{res}
{txt}test_aptpol_d
{txt}{hline 9}{hline 1}{c TT}{hline 44}
{txt}        {txt}  {c |}      Freq.    Percent      Valid       Cum.
{txt}{hline 9}{hline 1}{c +}{hline 44}
{txt}Valid   1 {c |}{res}         24      39.34     100.00     100.00
{txt}Missing . {c |}{res}         37      60.66                      
{txt}Total     {c |}{res}         61     100.00                      
{txt}{hline 9}{hline 1}{c BT}{hline 44}

{com}.         assert inlist(test_aptpol_d,.,1)
{txt}
{com}.         
.         drop test_aptpol_d
{txt}
{com}.         
.         * pol_exist_d
.         
.         gen pol_exist_d = 0
{txt}
{com}.         replace pol_exist_d = 1 if aptpol_d == 1 | elecpol_ovrsee == 1
{txt}(23 real changes made)

{com}.         replace pol_exist_d = . if asked_survey == 0
{txt}(37 real changes made, 37 to missing)

{com}.         lab val pol_exist_d yesno
{txt}
{com}.         lab var pol_exist_d "1 if we have either an appointed or elected politician"
{txt}
{com}.         
.         fre pol_exist_d
{res}
{txt}pol_exist_d {hline 2} 1 if we have either an appointed or elected politician
{txt}{hline 13}{hline 1}{c TT}{hline 44}
{txt}        {txt}      {c |}      Freq.    Percent      Valid       Cum.
{txt}{hline 13}{hline 1}{c +}{hline 44}
{txt}Valid   0 No  {c |}{res}          1       1.64       4.17       4.17
{txt}        1 Yes {c |}{res}         23      37.70      95.83     100.00
{txt}        Total {c |}{res}         24      39.34     100.00           
{txt}Missing .     {c |}{res}         37      60.66                      
{txt}Total         {c |}{res}         61     100.00                      
{txt}{hline 13}{hline 1}{c BT}{hline 44}

{com}.         order pol_exist_d, after(aptpol_d)
{txt}
{com}.         
.         * title_aptpol
.         
.         lab var title_aptpol "Title of the highest-level appointed politician in unit"
{txt}
{com}.         
.         gen test_title_aptpol = (title_aptpol != "")
{txt}
{com}.         replace test_title_aptpol = . if asked_survey == 0 
{txt}(37 real changes made, 37 to missing)

{com}.         replace test_title_aptpol = . if aptpol_d == 0 | aptpol_d == -98
{txt}(15 real changes made, 15 to missing)

{com}.         fre test_title_aptpol
{res}
{txt}test_title_aptpol
{txt}{hline 9}{hline 1}{c TT}{hline 44}
{txt}        {txt}  {c |}      Freq.    Percent      Valid       Cum.
{txt}{hline 9}{hline 1}{c +}{hline 44}
{txt}Valid   1 {c |}{res}          9      14.75     100.00     100.00
{txt}Missing . {c |}{res}         52      85.25                      
{txt}Total     {c |}{res}         61     100.00                      
{txt}{hline 9}{hline 1}{c BT}{hline 44}

{com}.         assert inlist(test_title_aptpol,.,1)
{txt}
{com}.         
.         drop test_title_aptpol
{txt}
{com}.         
.         * who_aptpol
.         
.         lab var who_aptpol "Who appoints the highest-level appointed politician in unit"
{txt}
{com}.         
.         gen test_who_aptpol = (who_aptpol != "")
{txt}
{com}.         replace test_who_aptpol = . if asked_survey == 0 
{txt}(37 real changes made, 37 to missing)

{com}.         replace test_who_aptpol = . if aptpol_d == 0 | aptpol_d == -98
{txt}(15 real changes made, 15 to missing)

{com}.         fre test_who_aptpol
{res}
{txt}test_who_aptpol
{txt}{hline 9}{hline 1}{c TT}{hline 44}
{txt}        {txt}  {c |}      Freq.    Percent      Valid       Cum.
{txt}{hline 9}{hline 1}{c +}{hline 44}
{txt}Valid   1 {c |}{res}          9      14.75     100.00     100.00
{txt}Missing . {c |}{res}         52      85.25                      
{txt}Total     {c |}{res}         61     100.00                      
{txt}{hline 9}{hline 1}{c BT}{hline 44}

{com}.         assert inlist(test_who_aptpol,.,1)
{txt}
{com}.         
.         drop test_who_aptpol
{txt}
{com}.         
.         * mostinf_servdel
.         
.         lab var mostinf_servdel "More influential in determining quality of service"
{txt}
{com}.         
.         replace mostinf_servdel = "1" if regexm(mostinf_servdel,"Elected much more")
{txt}(5 real changes made)

{com}.         replace mostinf_servdel = "2" if regexm(mostinf_servdel,"Elected slightly more")
{txt}(0 real changes made)

{com}.         replace mostinf_servdel = "3" if regexm(mostinf_servdel,"About the same")
{txt}(1 real change made)

{com}.         replace mostinf_servdel = "4" if regexm(mostinf_servdel,"Appointed slightly more")
{txt}(0 real changes made)

{com}.         replace mostinf_servdel = "5" if regexm(mostinf_servdel,"Appointed much more")
{txt}(3 real changes made)

{com}.         destring mostinf_servdel, replace
{txt}mostinf_servdel: all characters numeric; {res}replaced {txt}as {res}byte
{txt}(52 missing values generated)
{res}{txt}
{com}.         lab def mostinf_servdel 1 "Elected much more influential" 2 "Elected slightly more influential" 3 "About the same" 4 "Appointed slightly more influential" 5 "Appointed much more influential"
{txt}
{com}.         lab val mostinf_servdel mostinf_servdel
{txt}
{com}.         
.         fre mostinf_servdel
{res}
{txt}mostinf_servdel {hline 2} More influential in determining quality of service
{txt}{hline 41}{hline 1}{c TT}{hline 44}
{txt}        {txt}                                  {c |}      Freq.    Percent      Valid       Cum.
{txt}{hline 41}{hline 1}{c +}{hline 44}
{txt}Valid   1 Elected much more influential   {c |}{res}          5       8.20      55.56      55.56
{txt}        3 About the same                  {c |}{res}          1       1.64      11.11      66.67
{txt}        5 Appointed much more influential {c |}{res}          3       4.92      33.33     100.00
{txt}        Total                             {c |}{res}          9      14.75     100.00           
{txt}Missing .                                 {c |}{res}         52      85.25                      
{txt}Total                                     {c |}{res}         61     100.00                      
{txt}{hline 41}{hline 1}{c BT}{hline 44}

{com}.         
.         gen test_mostinf_servdel = (mostinf_servdel != .)
{txt}
{com}.         replace test_mostinf_servdel = . if asked_survey == 0 
{txt}(37 real changes made, 37 to missing)

{com}.         replace test_mostinf_servdel = . if (inlist(aptpol_d,0,-98) | elecpol_ovrsee == 0)
{txt}(15 real changes made, 15 to missing)

{com}.         fre test_mostinf_servdel
{res}
{txt}test_mostinf_servdel
{txt}{hline 9}{hline 1}{c TT}{hline 44}
{txt}        {txt}  {c |}      Freq.    Percent      Valid       Cum.
{txt}{hline 9}{hline 1}{c +}{hline 44}
{txt}Valid   1 {c |}{res}          9      14.75     100.00     100.00
{txt}Missing . {c |}{res}         52      85.25                      
{txt}Total     {c |}{res}         61     100.00                      
{txt}{hline 9}{hline 1}{c BT}{hline 44}

{com}.         assert inlist(test_mostinf_servdel,.,1)
{txt}
{com}.         
.         drop test_mostinf_servdel
{txt}
{com}.         
.         * educ_elecpolbur
.         
.         lab var educ_elecpolbur "More educated bureaucrat or politician (elec. politician)"
{txt}
{com}.         
.         fre educ_elecpolbur
{res}
{txt}educ_elecpolbur {hline 2} More educated bureaucrat or politician (elec. politician)
{txt}{hline 55}{hline 1}{c TT}{hline 44}
{txt}        {txt}                                                {c |}      Freq.    Percent      Valid       Cum.
{txt}{hline 55}{hline 1}{c +}{hline 44}
{txt}Valid   About the same level of education               {c |}{res}          4       6.56      17.39      17.39
{txt}        Bureaucrats much more educated than Politicians {c |}{res}         13      21.31      56.52      73.91
{txt}        Bureaucrats slightly more educated than         {c |}{res}          6       9.84      26.09     100.00
{txt}        Politicians                                     {c |}{res}                                            
{txt}        Total                                           {c |}{res}         23      37.70     100.00           
{txt}Missing                                                 {c |}{res}         38      62.30                      
{txt}Total                                                   {c |}{res}         61     100.00                      
{txt}{hline 55}{hline 1}{c BT}{hline 44}

{com}.         
.         replace educ_elecpolbur = "1" if regexm(educ_elecpolbur,"Bureaucrats much more educated")
{txt}(13 real changes made)

{com}.         replace educ_elecpolbur = "2" if regexm(educ_elecpolbur,"Bureaucrats slightly more educated")
{txt}(6 real changes made)

{com}.         replace educ_elecpolbur = "3" if regexm(educ_elecpolbur,"About the same")
{txt}(4 real changes made)

{com}.         replace educ_elecpolbur = "4" if regexm(educ_elecpolbur,"Politicians slightly more educated")
{txt}(0 real changes made)

{com}.         replace educ_elecpolbur = "5" if regexm(educ_elecpolbur,"Politicians much more educated")
{txt}(0 real changes made)

{com}.         destring educ_elecpolbur, replace
{txt}educ_elecpolbur: all characters numeric; {res}replaced {txt}as {res}byte
{txt}(38 missing values generated)
{res}{txt}
{com}.         lab def educ_elecpolbur 1 "Bureaucrats much more educated" 2 "Bureaucrats slightly more educated" 3 "About the same" 4 "Politicians slightly more educated" 5 "Politicians much more educated"
{txt}
{com}.         lab val educ_elecpolbur educ_elecpolbur
{txt}
{com}.         
.         fre educ_elecpolbur
{res}
{txt}educ_elecpolbur {hline 2} More educated bureaucrat or politician (elec. politician)
{txt}{hline 44}{hline 1}{c TT}{hline 44}
{txt}        {txt}                                     {c |}      Freq.    Percent      Valid       Cum.
{txt}{hline 44}{hline 1}{c +}{hline 44}
{txt}Valid   1 Bureaucrats much more educated     {c |}{res}         13      21.31      56.52      56.52
{txt}        2 Bureaucrats slightly more educated {c |}{res}          6       9.84      26.09      82.61
{txt}        3 About the same                     {c |}{res}          4       6.56      17.39     100.00
{txt}        Total                                {c |}{res}         23      37.70     100.00           
{txt}Missing .                                    {c |}{res}         38      62.30                      
{txt}Total                                        {c |}{res}         61     100.00                      
{txt}{hline 44}{hline 1}{c BT}{hline 44}

{com}.         
.         gen test_educ_elecpolbur = (educ_elecpolbur != .)
{txt}
{com}.         replace test_educ_elecpolbur = . if asked_survey == 0 
{txt}(37 real changes made, 37 to missing)

{com}.         replace test_educ_elecpolbur = . if elecpol_ovrsee == 0
{txt}(1 real change made, 1 to missing)

{com}.         fre test_educ_elecpolbur
{res}
{txt}test_educ_elecpolbur
{txt}{hline 9}{hline 1}{c TT}{hline 44}
{txt}        {txt}  {c |}      Freq.    Percent      Valid       Cum.
{txt}{hline 9}{hline 1}{c +}{hline 44}
{txt}Valid   1 {c |}{res}         23      37.70     100.00     100.00
{txt}Missing . {c |}{res}         38      62.30                      
{txt}Total     {c |}{res}         61     100.00                      
{txt}{hline 9}{hline 1}{c BT}{hline 44}

{com}.         assert inlist(test_educ_elecpolbur,.,1)
{txt}
{com}.         
.         drop test_educ_elecpolbur
{txt}
{com}.         
.         * educ_apolbur
.         
.         lab var educ_apolbur "More educated bureaucrat or politician (app. politician) "
{txt}
{com}.         
.         fre educ_apolbur
{res}
{txt}educ_apolbur {hline 2} More educated bureaucrat or politician (app. politician) 
{txt}{hline 8}{hline 1}{c TT}{hline 44}
{txt}        {txt} {c |}      Freq.    Percent      Valid       Cum.
{txt}{hline 8}{hline 1}{c +}{hline 44}
{txt}Missing  {c |}{res}         61     100.00                      
{txt}{hline 8}{hline 1}{c BT}{hline 44}

{com}.         
.         replace educ_apolbur = "1" if regexm(educ_apolbur,"Bureaucrats much more educated")
{txt}(0 real changes made)

{com}.         replace educ_apolbur = "2" if regexm(educ_apolbur,"Bureaucrats slightly more educated")
{txt}(0 real changes made)

{com}.         replace educ_apolbur = "3" if regexm(educ_apolbur,"About the same")
{txt}(0 real changes made)

{com}.         replace educ_apolbur = "4" if regexm(educ_apolbur,"Politicians slightly more educated")
{txt}(0 real changes made)

{com}.         replace educ_apolbur = "5" if regexm(educ_apolbur,"Politicians much more educated")
{txt}(0 real changes made)

{com}.         destring educ_apolbur, replace
{txt}educ_apolbur: all characters numeric; {res}replaced {txt}as {res}byte
{txt}(61 missing values generated)
{res}{txt}
{com}.         lab def educ_apolbur 1 "Bureaucrats much more educated" 2 "Bureaucrats slightly more educated" 3 "About the same" 4 "Politicians slightly more educated" 5 "Politicians much more educated"
{txt}
{com}.         lab val educ_apolbur educ_apolbur
{txt}
{com}.         
.         fre educ_apolbur
{res}
{txt}educ_apolbur {hline 2} More educated bureaucrat or politician (app. politician) 
{txt}{hline 13}{hline 1}{c TT}{hline 44}
{txt}        {txt}      {c |}      Freq.    Percent      Valid       Cum.
{txt}{hline 13}{hline 1}{c +}{hline 44}
{txt}Missing .     {c |}{res}         61     100.00                      
{txt}{hline 13}{hline 1}{c BT}{hline 44}

{com}.         
.         gen test_educ_apolbur = (educ_apolbur != .)
{txt}
{com}.         replace test_educ_apolbur = . if asked_survey == 0
{txt}(37 real changes made, 37 to missing)

{com}.         replace test_educ_apolbur = . if aptpol_d == 0
{txt}(14 real changes made, 14 to missing)

{com}.         replace test_educ_apolbur = . if elecpol_ovrsee == 1 
{txt}(10 real changes made, 10 to missing)

{com}.         fre test_educ_apolbur
{res}
{txt}test_educ_apolbur
{txt}{hline 9}{hline 1}{c TT}{hline 44}
{txt}        {txt}  {c |}      Freq.    Percent      Valid       Cum.
{txt}{hline 9}{hline 1}{c +}{hline 44}
{txt}Missing . {c |}{res}         61     100.00                      
{txt}{hline 9}{hline 1}{c BT}{hline 44}

{com}.         assert inlist(test_educ_apolbur,.,1)
{txt}
{com}.         
.         drop test_educ_apolbur
{txt}
{com}.         
.         * slry_elecpolbur
.         
.         lab var slry_elecpolbur "Earning more bureaucrat or politician (elec. politician)"
{txt}
{com}.         
.         fre slry_elecpolbur
{res}
{txt}slry_elecpolbur {hline 2} Earning more bureaucrat or politician (elec. politician)
{txt}{hline 55}{hline 1}{c TT}{hline 44}
{txt}        {txt}                                                {c |}      Freq.    Percent      Valid       Cum.
{txt}{hline 55}{hline 1}{c +}{hline 44}
{txt}Valid   Both earn about the same                        {c |}{res}          4       6.56      17.39      17.39
{txt}        Bureaucrats earn much more than Politicians     {c |}{res}          5       8.20      21.74      39.13
{txt}        Bureaucrats earn slightly more than Politicians {c |}{res}          3       4.92      13.04      52.17
{txt}        Politicians earn much more than Bureaucrats     {c |}{res}          6       9.84      26.09      78.26
{txt}        Politicians earn slightly more than Bureaucrats {c |}{res}          5       8.20      21.74     100.00
{txt}        Total                                           {c |}{res}         23      37.70     100.00           
{txt}Missing                                                 {c |}{res}         38      62.30                      
{txt}Total                                                   {c |}{res}         61     100.00                      
{txt}{hline 55}{hline 1}{c BT}{hline 44}

{com}.         
.         replace slry_elecpolbur = "1" if regexm(slry_elecpolbur,"Bureaucrats earn much")
{txt}(5 real changes made)

{com}.         replace slry_elecpolbur = "2" if regexm(slry_elecpolbur,"Bureaucrats earn slightly")
{txt}(3 real changes made)

{com}.         replace slry_elecpolbur = "3" if regexm(slry_elecpolbur,"Both earn")
{txt}(4 real changes made)

{com}.         replace slry_elecpolbur = "4" if regexm(slry_elecpolbur,"Politicians earn slightly")
{txt}(5 real changes made)

{com}.         replace slry_elecpolbur = "5" if regexm(slry_elecpolbur,"Politicians earn much")
{txt}(6 real changes made)

{com}.         destring slry_elecpolbur, replace
{txt}slry_elecpolbur: all characters numeric; {res}replaced {txt}as {res}byte
{txt}(38 missing values generated)
{res}{txt}
{com}.         lab def slry_elecpolbur 1 "Bureaucrats earn much more" 2 "Bureaucrats earn slightly more" 3 "Both earn the same" 4 "Politicians earn slightly" 5 "Politicians earn much more"
{txt}
{com}.         lab val slry_elecpolbur slry_elecpolbur
{txt}
{com}.         
.         fre slry_elecpolbur
{res}
{txt}slry_elecpolbur {hline 2} Earning more bureaucrat or politician (elec. politician)
{txt}{hline 40}{hline 1}{c TT}{hline 44}
{txt}        {txt}                                 {c |}      Freq.    Percent      Valid       Cum.
{txt}{hline 40}{hline 1}{c +}{hline 44}
{txt}Valid   1 Bureaucrats earn much more     {c |}{res}          5       8.20      21.74      21.74
{txt}        2 Bureaucrats earn slightly more {c |}{res}          3       4.92      13.04      34.78
{txt}        3 Both earn the same             {c |}{res}          4       6.56      17.39      52.17
{txt}        4 Politicians earn slightly      {c |}{res}          5       8.20      21.74      73.91
{txt}        5 Politicians earn much more     {c |}{res}          6       9.84      26.09     100.00
{txt}        Total                            {c |}{res}         23      37.70     100.00           
{txt}Missing .                                {c |}{res}         38      62.30                      
{txt}Total                                    {c |}{res}         61     100.00                      
{txt}{hline 40}{hline 1}{c BT}{hline 44}

{com}.         
.         gen test_slry_elecpolbur = (slry_elecpolbur != .)
{txt}
{com}.         replace test_slry_elecpolbur = . if asked_survey == 0 
{txt}(37 real changes made, 37 to missing)

{com}.         replace test_slry_elecpolbur = . if elecpol_ovrsee == 0
{txt}(1 real change made, 1 to missing)

{com}.         fre test_slry_elecpolbur
{res}
{txt}test_slry_elecpolbur
{txt}{hline 9}{hline 1}{c TT}{hline 44}
{txt}        {txt}  {c |}      Freq.    Percent      Valid       Cum.
{txt}{hline 9}{hline 1}{c +}{hline 44}
{txt}Valid   1 {c |}{res}         23      37.70     100.00     100.00
{txt}Missing . {c |}{res}         38      62.30                      
{txt}Total     {c |}{res}         61     100.00                      
{txt}{hline 9}{hline 1}{c BT}{hline 44}

{com}.         assert inlist(test_slry_elecpolbur,.,1)
{txt}
{com}.         
.         drop test_slry_elecpolbur
{txt}
{com}.         
.         * slry_apolbur
.         
.         lab var slry_apolbur "Earning more bureaucrat or politician (app. politician)"
{txt}
{com}.         
.         fre slry_apolbur
{res}
{txt}slry_apolbur {hline 2} Earning more bureaucrat or politician (app. politician)
{txt}{hline 8}{hline 1}{c TT}{hline 44}
{txt}        {txt} {c |}      Freq.    Percent      Valid       Cum.
{txt}{hline 8}{hline 1}{c +}{hline 44}
{txt}Missing  {c |}{res}         61     100.00                      
{txt}{hline 8}{hline 1}{c BT}{hline 44}

{com}.         
.         replace slry_apolbur = "1" if regexm(slry_apolbur,"Bureaucrats earn much")
{txt}(0 real changes made)

{com}.         replace slry_apolbur = "2" if regexm(slry_apolbur,"Bureaucrats earn slightly")
{txt}(0 real changes made)

{com}.         replace slry_apolbur = "3" if regexm(slry_apolbur,"Both earn")
{txt}(0 real changes made)

{com}.         replace slry_apolbur = "4" if regexm(slry_apolbur,"Politicians earn slightly")
{txt}(0 real changes made)

{com}.         replace slry_apolbur = "5" if regexm(slry_apolbur,"Politicians earn much")
{txt}(0 real changes made)

{com}.         destring slry_apolbur, replace
{txt}slry_apolbur: all characters numeric; {res}replaced {txt}as {res}byte
{txt}(61 missing values generated)
{res}{txt}
{com}.         lab def slry_apolbur 1 "Bureaucrats earn much more" 2 "Bureaucrats earn slightly more" 3 "Both earn the same" 4 "Politicians earn slightly" 5 "Politicians earn much more"
{txt}
{com}.         lab val slry_apolbur slry_apolbur
{txt}
{com}.         
.         fre slry_apolbur
{res}
{txt}slry_apolbur {hline 2} Earning more bureaucrat or politician (app. politician)
{txt}{hline 13}{hline 1}{c TT}{hline 44}
{txt}        {txt}      {c |}      Freq.    Percent      Valid       Cum.
{txt}{hline 13}{hline 1}{c +}{hline 44}
{txt}Missing .     {c |}{res}         61     100.00                      
{txt}{hline 13}{hline 1}{c BT}{hline 44}

{com}.         
.         gen test_slry_apolbur = (slry_apolbur != .)
{txt}
{com}.         replace test_slry_apolbur = . if asked_survey == 0
{txt}(37 real changes made, 37 to missing)

{com}.         replace test_slry_apolbur = . if aptpol_d == 0
{txt}(14 real changes made, 14 to missing)

{com}.         replace test_slry_apolbur = . if elecpol_ovrsee == 1 
{txt}(10 real changes made, 10 to missing)

{com}.         fre test_slry_apolbur
{res}
{txt}test_slry_apolbur
{txt}{hline 9}{hline 1}{c TT}{hline 44}
{txt}        {txt}  {c |}      Freq.    Percent      Valid       Cum.
{txt}{hline 9}{hline 1}{c +}{hline 44}
{txt}Missing . {c |}{res}         61     100.00                      
{txt}{hline 9}{hline 1}{c BT}{hline 44}

{com}.         assert inlist(test_slry_apolbur,.,1)
{txt}
{com}.         
.         drop test_slry_apolbur
{txt}
{com}.         
.         * We merge the payment module
.         
.         merge m:1 responseid using "`payment_module'"
{res}
{txt}{col 5}Result{col 38}# of obs.
{col 5}{hline 41}
{col 5}not matched{col 30}{res}               0
{txt}{col 5}matched{col 30}{res}              61{txt}  (_merge==3)
{col 5}{hline 41}

{com}.         drop _merge
{txt}
{com}.         order donate_d org_donation_id paid_status, after(duration_minutes)
{txt}
{com}.         
.         * fdout_epol_bgt
.         
.         lab var fdout_epol_bgt "Easy to find out about envelop (elec. politician)"
{txt}
{com}.         
.         fre fdout_epol_bgt
{res}
{txt}fdout_epol_bgt {hline 2} Easy to find out about envelop (elec. politician)
{txt}{hline 26}{hline 1}{c TT}{hline 44}
{txt}        {txt}                   {c |}      Freq.    Percent      Valid       Cum.
{txt}{hline 26}{hline 1}{c +}{hline 44}
{txt}Valid   Somewhat difficult {c |}{res}          3       4.92      13.04      13.04
{txt}        Somewhat easy      {c |}{res}          6       9.84      26.09      39.13
{txt}        Very easy          {c |}{res}         14      22.95      60.87     100.00
{txt}        Total              {c |}{res}         23      37.70     100.00           
{txt}Missing                    {c |}{res}         38      62.30                      
{txt}Total                      {c |}{res}         61     100.00                      
{txt}{hline 26}{hline 1}{c BT}{hline 44}

{com}.         
.         replace fdout_epol_bgt = "1" if regexm(fdout_epol_bgt,"Very easy")
{txt}(14 real changes made)

{com}.         replace fdout_epol_bgt = "2" if regexm(fdout_epol_bgt,"Somewhat easy")
{txt}(6 real changes made)

{com}.         replace fdout_epol_bgt = "3" if regexm(fdout_epol_bgt,"Somewhat difficult")
{txt}(3 real changes made)

{com}.         replace fdout_epol_bgt = "4" if regexm(fdout_epol_bgt,"Very difficult")
{txt}(0 real changes made)

{com}.         replace fdout_epol_bgt = "5" if regexm(fdout_epol_bgt,"Not applicable")
{txt}(0 real changes made)

{com}.         replace fdout_epol_bgt = "6" if regexm(fdout_epol_bgt,"Do not know")
{txt}(0 real changes made)

{com}.         
.         destring fdout_epol_bgt, replace
{txt}fdout_epol_bgt: all characters numeric; {res}replaced {txt}as {res}byte
{txt}(38 missing values generated)
{res}{txt}
{com}.         lab def fdout_epol_bgt 1 "Very easy" 2 "Somewhat easy" 3 "Somewhat difficult" 4 "Very difficult" 5 "Not applicable, this level of government has no spending power" 6 "Do not know / Refuse to answer"
{txt}
{com}.         lab val fdout_epol_bgt fdout_epol_bgt
{txt}
{com}.         
.         fre fdout_epol_bgt
{res}
{txt}fdout_epol_bgt {hline 2} Easy to find out about envelop (elec. politician)
{txt}{hline 28}{hline 1}{c TT}{hline 44}
{txt}        {txt}                     {c |}      Freq.    Percent      Valid       Cum.
{txt}{hline 28}{hline 1}{c +}{hline 44}
{txt}Valid   1 Very easy          {c |}{res}         14      22.95      60.87      60.87
{txt}        2 Somewhat easy      {c |}{res}          6       9.84      26.09      86.96
{txt}        3 Somewhat difficult {c |}{res}          3       4.92      13.04     100.00
{txt}        Total                {c |}{res}         23      37.70     100.00           
{txt}Missing .                    {c |}{res}         38      62.30                      
{txt}Total                        {c |}{res}         61     100.00                      
{txt}{hline 28}{hline 1}{c BT}{hline 44}

{com}.         
.         gen test_fdout_epol_bgt = (fdout_epol_bgt != .)
{txt}
{com}.         replace test_fdout_epol_bgt = . if asked_survey == 0 
{txt}(37 real changes made, 37 to missing)

{com}.         replace test_fdout_epol_bgt = . if elecpol_ovrsee == 0
{txt}(1 real change made, 1 to missing)

{com}.         fre test_fdout_epol_bgt
{res}
{txt}test_fdout_epol_bgt
{txt}{hline 9}{hline 1}{c TT}{hline 44}
{txt}        {txt}  {c |}      Freq.    Percent      Valid       Cum.
{txt}{hline 9}{hline 1}{c +}{hline 44}
{txt}Valid   1 {c |}{res}         23      37.70     100.00     100.00
{txt}Missing . {c |}{res}         38      62.30                      
{txt}Total     {c |}{res}         61     100.00                      
{txt}{hline 9}{hline 1}{c BT}{hline 44}

{com}.         assert inlist(test_fdout_epol_bgt,.,1)
{txt}
{com}.         
.         drop test_fdout_epol_bgt
{txt}
{com}.         
.         * fdout_apol_bgt
.         
.         lab var fdout_apol_bgt "Easy to find out about envelop (app. politician)"
{txt}
{com}.         
.         fre fdout_apol_bgt
{res}
{txt}fdout_apol_bgt {hline 2} Easy to find out about envelop (app. politician)
{txt}{hline 8}{hline 1}{c TT}{hline 44}
{txt}        {txt} {c |}      Freq.    Percent      Valid       Cum.
{txt}{hline 8}{hline 1}{c +}{hline 44}
{txt}Missing  {c |}{res}         61     100.00                      
{txt}{hline 8}{hline 1}{c BT}{hline 44}

{com}.         
.         replace fdout_apol_bgt = "1" if regexm(fdout_apol_bgt,"Very easy")
{txt}(0 real changes made)

{com}.         replace fdout_apol_bgt = "2" if regexm(fdout_apol_bgt,"Somewhat easy")
{txt}(0 real changes made)

{com}.         replace fdout_apol_bgt = "3" if regexm(fdout_apol_bgt,"Somewhat difficult")
{txt}(0 real changes made)

{com}.         replace fdout_apol_bgt = "4" if regexm(fdout_apol_bgt,"Very difficult")
{txt}(0 real changes made)

{com}.         replace fdout_apol_bgt = "5" if regexm(fdout_apol_bgt,"Not applicable")
{txt}(0 real changes made)

{com}.         replace fdout_apol_bgt = "6" if regexm(fdout_apol_bgt,"Do not know")
{txt}(0 real changes made)

{com}.         
.         destring fdout_apol_bgt, replace
{txt}fdout_apol_bgt: all characters numeric; {res}replaced {txt}as {res}byte
{txt}(61 missing values generated)
{res}{txt}
{com}.         lab def fdout_apol_bgt 1 "Very easy" 2 "Somewhat easy" 3 "Somewhat difficult" 4 "Very difficult" 5 "Not applicable, this level of government has no spending power" 6 "Do not know / Refuse to answer"
{txt}
{com}.         lab val fdout_apol_bgt fdout_apol_bgt
{txt}
{com}.         
.         fre fdout_apol_bgt
{res}
{txt}fdout_apol_bgt {hline 2} Easy to find out about envelop (app. politician)
{txt}{hline 13}{hline 1}{c TT}{hline 44}
{txt}        {txt}      {c |}      Freq.    Percent      Valid       Cum.
{txt}{hline 13}{hline 1}{c +}{hline 44}
{txt}Missing .     {c |}{res}         61     100.00                      
{txt}{hline 13}{hline 1}{c BT}{hline 44}

{com}.         
.         gen test_fdout_apol_bgt = (fdout_apol_bgt != .)
{txt}
{com}.         replace test_fdout_apol_bgt = . if asked_survey == 0
{txt}(37 real changes made, 37 to missing)

{com}.         replace test_fdout_apol_bgt = . if aptpol_d == 0
{txt}(14 real changes made, 14 to missing)

{com}.         replace test_fdout_apol_bgt = . if elecpol_ovrsee == 1 
{txt}(10 real changes made, 10 to missing)

{com}.         fre test_fdout_apol_bgt
{res}
{txt}test_fdout_apol_bgt
{txt}{hline 9}{hline 1}{c TT}{hline 44}
{txt}        {txt}  {c |}      Freq.    Percent      Valid       Cum.
{txt}{hline 9}{hline 1}{c +}{hline 44}
{txt}Missing . {c |}{res}         61     100.00                      
{txt}{hline 9}{hline 1}{c BT}{hline 44}

{com}.         assert inlist(test_fdout_apol_bgt,.,1)
{txt}
{com}.         
.         drop test_fdout_apol_bgt
{txt}
{com}.         
.         * budsect_epol
.         
.         lab var budsect_epol "Find about budget allocation to sectors (elec. politician)"
{txt}
{com}.         
.         fre budsect_epol
{res}
{txt}budsect_epol {hline 2} Find about budget allocation to sectors (elec. politician)
{txt}{hline 26}{hline 1}{c TT}{hline 44}
{txt}        {txt}                   {c |}      Freq.    Percent      Valid       Cum.
{txt}{hline 26}{hline 1}{c +}{hline 44}
{txt}Valid   Somewhat difficult {c |}{res}          2       3.28       8.70       8.70
{txt}        Somewhat easy      {c |}{res}          4       6.56      17.39      26.09
{txt}        Very difficult     {c |}{res}          1       1.64       4.35      30.43
{txt}        Very easy          {c |}{res}          9      14.75      39.13      69.57
{txt}        Somewhat easy      {c |}{res}          1       1.64       4.35      73.91
{txt}        Very easy          {c |}{res}          6       9.84      26.09     100.00
{txt}        Total              {c |}{res}         23      37.70     100.00           
{txt}Missing                    {c |}{res}         38      62.30                      
{txt}Total                      {c |}{res}         61     100.00                      
{txt}{hline 26}{hline 1}{c BT}{hline 44}

{com}.         
.         replace budsect_epol = "1" if regexm(budsect_epol,"Very easy")
{txt}(15 real changes made)

{com}.         replace budsect_epol = "2" if regexm(budsect_epol,"Somewhat easy")
{txt}(5 real changes made)

{com}.         replace budsect_epol = "3" if regexm(budsect_epol,"Somewhat difficult")
{txt}(2 real changes made)

{com}.         replace budsect_epol = "4" if regexm(budsect_epol,"Very difficult")
{txt}(1 real change made)

{com}.         replace budsect_epol = "5" if regexm(budsect_epol,"Not applicable")
{txt}(0 real changes made)

{com}.         replace budsect_epol = "6" if regexm(budsect_epol,"Do not know")
{txt}(0 real changes made)

{com}.         
.         destring budsect_epol, replace
{txt}budsect_epol: all characters numeric; {res}replaced {txt}as {res}byte
{txt}(38 missing values generated)
{res}{txt}
{com}.         lab def budsect_epol 1 "Very easy" 2 "Somewhat easy" 3 "Somewhat difficult" 4 "Very difficult" 5 "Not applicable, this level of government has no spending power" 6 "Do not know / Refuse to answer"
{txt}
{com}.         lab val budsect_epol budsect_epol
{txt}
{com}.         
.         fre budsect_epol
{res}
{txt}budsect_epol {hline 2} Find about budget allocation to sectors (elec. politician)
{txt}{hline 28}{hline 1}{c TT}{hline 44}
{txt}        {txt}                     {c |}      Freq.    Percent      Valid       Cum.
{txt}{hline 28}{hline 1}{c +}{hline 44}
{txt}Valid   1 Very easy          {c |}{res}         15      24.59      65.22      65.22
{txt}        2 Somewhat easy      {c |}{res}          5       8.20      21.74      86.96
{txt}        3 Somewhat difficult {c |}{res}          2       3.28       8.70      95.65
{txt}        4 Very difficult     {c |}{res}          1       1.64       4.35     100.00
{txt}        Total                {c |}{res}         23      37.70     100.00           
{txt}Missing .                    {c |}{res}         38      62.30                      
{txt}Total                        {c |}{res}         61     100.00                      
{txt}{hline 28}{hline 1}{c BT}{hline 44}

{com}.         
.         gen test_budsect_epol = (budsect_epol != .)
{txt}
{com}.         replace test_budsect_epol = . if asked_survey == 0 
{txt}(37 real changes made, 37 to missing)

{com}.         replace test_budsect_epol = . if elecpol_ovrsee == 0
{txt}(1 real change made, 1 to missing)

{com}.         fre test_budsect_epol
{res}
{txt}test_budsect_epol
{txt}{hline 9}{hline 1}{c TT}{hline 44}
{txt}        {txt}  {c |}      Freq.    Percent      Valid       Cum.
{txt}{hline 9}{hline 1}{c +}{hline 44}
{txt}Valid   1 {c |}{res}         23      37.70     100.00     100.00
{txt}Missing . {c |}{res}         38      62.30                      
{txt}Total     {c |}{res}         61     100.00                      
{txt}{hline 9}{hline 1}{c BT}{hline 44}

{com}.         assert inlist(test_budsect_epol,.,1)
{txt}
{com}.         
.         drop test_budsect_epol
{txt}
{com}.         
.         * budsect_apol
.         
.         lab var budsect_apol "Find about budget allocation to sectors (app. politician)"
{txt}
{com}.         
.         fre budsect_apol
{res}
{txt}budsect_apol {hline 2} Find about budget allocation to sectors (app. politician)
{txt}{hline 8}{hline 1}{c TT}{hline 44}
{txt}        {txt} {c |}      Freq.    Percent      Valid       Cum.
{txt}{hline 8}{hline 1}{c +}{hline 44}
{txt}Missing  {c |}{res}         61     100.00                      
{txt}{hline 8}{hline 1}{c BT}{hline 44}

{com}.         
.         replace budsect_apol = "1" if regexm(budsect_apol,"Very easy")
{txt}(0 real changes made)

{com}.         replace budsect_apol = "2" if regexm(budsect_apol,"Somewhat easy")
{txt}(0 real changes made)

{com}.         replace budsect_apol = "3" if regexm(budsect_apol,"Somewhat difficult")
{txt}(0 real changes made)

{com}.         replace budsect_apol = "4" if regexm(budsect_apol,"Very difficult")
{txt}(0 real changes made)

{com}.         replace budsect_apol = "5" if regexm(budsect_apol,"Not applicable")
{txt}(0 real changes made)

{com}.         replace budsect_apol = "6" if regexm(budsect_apol,"Do not know")
{txt}(0 real changes made)

{com}.         
.         destring budsect_apol, replace
{txt}budsect_apol: all characters numeric; {res}replaced {txt}as {res}byte
{txt}(61 missing values generated)
{res}{txt}
{com}.         lab def budsect_apol 1 "Very easy" 2 "Somewhat easy" 3 "Somewhat difficult" 4 "Very difficult" 5 "Not applicable, this level of government has no spending power" 6 "Do not know / Refuse to answer"
{txt}
{com}.         lab val budsect_apol budsect_apol
{txt}
{com}.         
.         fre budsect_apol
{res}
{txt}budsect_apol {hline 2} Find about budget allocation to sectors (app. politician)
{txt}{hline 13}{hline 1}{c TT}{hline 44}
{txt}        {txt}      {c |}      Freq.    Percent      Valid       Cum.
{txt}{hline 13}{hline 1}{c +}{hline 44}
{txt}Missing .     {c |}{res}         61     100.00                      
{txt}{hline 13}{hline 1}{c BT}{hline 44}

{com}.         
.         gen test_budsect_apol = (budsect_apol != .)
{txt}
{com}.         replace test_budsect_apol = . if asked_survey == 0
{txt}(37 real changes made, 37 to missing)

{com}.         replace test_budsect_apol = . if aptpol_d == 0
{txt}(14 real changes made, 14 to missing)

{com}.         replace test_budsect_apol = . if elecpol_ovrsee == 1 
{txt}(10 real changes made, 10 to missing)

{com}.         fre test_budsect_apol
{res}
{txt}test_budsect_apol
{txt}{hline 9}{hline 1}{c TT}{hline 44}
{txt}        {txt}  {c |}      Freq.    Percent      Valid       Cum.
{txt}{hline 9}{hline 1}{c +}{hline 44}
{txt}Missing . {c |}{res}         61     100.00                      
{txt}{hline 9}{hline 1}{c BT}{hline 44}

{com}.         assert inlist(test_budsect_apol,.,1)
{txt}
{com}.         
.         drop test_budsect_apol
{txt}
{com}.         
.         * acinfexp_epol
.         
.         lab var acinfexp_epol "Obtain detailed info about expenditures (elec. politician)"
{txt}
{com}.         
.         fre acinfexp_epol
{res}
{txt}acinfexp_epol {hline 2} Obtain detailed info about expenditures (elec. politician)
{txt}{hline 26}{hline 1}{c TT}{hline 44}
{txt}        {txt}                   {c |}      Freq.    Percent      Valid       Cum.
{txt}{hline 26}{hline 1}{c +}{hline 44}
{txt}Valid   Somewhat difficult {c |}{res}          5       8.20      21.74      21.74
{txt}        Somewhat easy      {c |}{res}          3       4.92      13.04      34.78
{txt}        Very difficult     {c |}{res}          1       1.64       4.35      39.13
{txt}        Very easy          {c |}{res}         14      22.95      60.87     100.00
{txt}        Total              {c |}{res}         23      37.70     100.00           
{txt}Missing                    {c |}{res}         38      62.30                      
{txt}Total                      {c |}{res}         61     100.00                      
{txt}{hline 26}{hline 1}{c BT}{hline 44}

{com}.         
.         replace acinfexp_epol = "1" if regexm(acinfexp_epol,"Very easy")
{txt}(14 real changes made)

{com}.         replace acinfexp_epol = "2" if regexm(acinfexp_epol,"Somewhat easy")
{txt}(3 real changes made)

{com}.         replace acinfexp_epol = "3" if regexm(acinfexp_epol,"Somewhat difficult")
{txt}(5 real changes made)

{com}.         replace acinfexp_epol = "4" if regexm(acinfexp_epol,"Very difficult")
{txt}(1 real change made)

{com}.         replace acinfexp_epol = "5" if regexm(acinfexp_epol,"Not applicable")
{txt}(0 real changes made)

{com}.         replace acinfexp_epol = "6" if regexm(acinfexp_epol,"Do not know")
{txt}(0 real changes made)

{com}.         
.         destring acinfexp_epol, replace
{txt}acinfexp_epol: all characters numeric; {res}replaced {txt}as {res}byte
{txt}(38 missing values generated)
{res}{txt}
{com}.         lab def acinfexp_epol 1 "Very easy" 2 "Somewhat easy" 3 "Somewhat difficult" 4 "Very difficult" 5 "Not applicable, this level of government has no spending power" 6 "Do not know / Refuse to answer"
{txt}
{com}.         lab val acinfexp_epol acinfexp_epol
{txt}
{com}.         
.         fre acinfexp_epol
{res}
{txt}acinfexp_epol {hline 2} Obtain detailed info about expenditures (elec. politician)
{txt}{hline 28}{hline 1}{c TT}{hline 44}
{txt}        {txt}                     {c |}      Freq.    Percent      Valid       Cum.
{txt}{hline 28}{hline 1}{c +}{hline 44}
{txt}Valid   1 Very easy          {c |}{res}         14      22.95      60.87      60.87
{txt}        2 Somewhat easy      {c |}{res}          3       4.92      13.04      73.91
{txt}        3 Somewhat difficult {c |}{res}          5       8.20      21.74      95.65
{txt}        4 Very difficult     {c |}{res}          1       1.64       4.35     100.00
{txt}        Total                {c |}{res}         23      37.70     100.00           
{txt}Missing .                    {c |}{res}         38      62.30                      
{txt}Total                        {c |}{res}         61     100.00                      
{txt}{hline 28}{hline 1}{c BT}{hline 44}

{com}.         
.         gen test_acinfexp_epol = (acinfexp_epol != .)
{txt}
{com}.         replace test_acinfexp_epol = . if asked_survey == 0 
{txt}(37 real changes made, 37 to missing)

{com}.         replace test_acinfexp_epol = . if elecpol_ovrsee == 0
{txt}(1 real change made, 1 to missing)

{com}.         fre test_acinfexp_epol
{res}
{txt}test_acinfexp_epol
{txt}{hline 9}{hline 1}{c TT}{hline 44}
{txt}        {txt}  {c |}      Freq.    Percent      Valid       Cum.
{txt}{hline 9}{hline 1}{c +}{hline 44}
{txt}Valid   1 {c |}{res}         23      37.70     100.00     100.00
{txt}Missing . {c |}{res}         38      62.30                      
{txt}Total     {c |}{res}         61     100.00                      
{txt}{hline 9}{hline 1}{c BT}{hline 44}

{com}.         assert inlist(test_acinfexp_epol,.,1)
{txt}
{com}.         
.         drop test_acinfexp_epol
{txt}
{com}.         
.         * acinfexp_apol
.         
.         lab var acinfexp_apol "Obtain detailed info about expenditures (app. politician)"
{txt}
{com}.         
.         fre acinfexp_apol
{res}
{txt}acinfexp_apol {hline 2} Obtain detailed info about expenditures (app. politician)
{txt}{hline 8}{hline 1}{c TT}{hline 44}
{txt}        {txt} {c |}      Freq.    Percent      Valid       Cum.
{txt}{hline 8}{hline 1}{c +}{hline 44}
{txt}Missing  {c |}{res}         61     100.00                      
{txt}{hline 8}{hline 1}{c BT}{hline 44}

{com}.         
.         replace acinfexp_apol = "1" if regexm(acinfexp_apol,"Very easy")
{txt}(0 real changes made)

{com}.         replace acinfexp_apol = "2" if regexm(acinfexp_apol,"Somewhat easy")
{txt}(0 real changes made)

{com}.         replace acinfexp_apol = "3" if regexm(acinfexp_apol,"Somewhat difficult")
{txt}(0 real changes made)

{com}.         replace acinfexp_apol = "4" if regexm(acinfexp_apol,"Very difficult")
{txt}(0 real changes made)

{com}.         replace acinfexp_apol = "5" if regexm(acinfexp_apol,"Not applicable")
{txt}(0 real changes made)

{com}.         replace acinfexp_apol = "6" if regexm(acinfexp_apol,"Do not know")
{txt}(0 real changes made)

{com}.         
.         destring acinfexp_apol, replace
{txt}acinfexp_apol: all characters numeric; {res}replaced {txt}as {res}byte
{txt}(61 missing values generated)
{res}{txt}
{com}.         lab def acinfexp_apol 1 "Very easy" 2 "Somewhat easy" 3 "Somewhat difficult" 4 "Very difficult" 5 "Not applicable, this level of government has no spending power" 6 "Do not know / Refuse to answer"
{txt}
{com}.         lab val acinfexp_apol acinfexp_apol
{txt}
{com}.         
.         fre acinfexp_apol
{res}
{txt}acinfexp_apol {hline 2} Obtain detailed info about expenditures (app. politician)
{txt}{hline 13}{hline 1}{c TT}{hline 44}
{txt}        {txt}      {c |}      Freq.    Percent      Valid       Cum.
{txt}{hline 13}{hline 1}{c +}{hline 44}
{txt}Missing .     {c |}{res}         61     100.00                      
{txt}{hline 13}{hline 1}{c BT}{hline 44}

{com}.         
.         gen test_acinfexp_apol = (acinfexp_apol != .)
{txt}
{com}.         replace test_acinfexp_apol = . if asked_survey == 0
{txt}(37 real changes made, 37 to missing)

{com}.         replace test_acinfexp_apol = . if aptpol_d == 0
{txt}(14 real changes made, 14 to missing)

{com}.         replace test_acinfexp_apol = . if elecpol_ovrsee == 1 
{txt}(10 real changes made, 10 to missing)

{com}.         fre test_acinfexp_apol
{res}
{txt}test_acinfexp_apol
{txt}{hline 9}{hline 1}{c TT}{hline 44}
{txt}        {txt}  {c |}      Freq.    Percent      Valid       Cum.
{txt}{hline 9}{hline 1}{c +}{hline 44}
{txt}Missing . {c |}{res}         61     100.00                      
{txt}{hline 9}{hline 1}{c BT}{hline 44}

{com}.         assert inlist(test_acinfexp_apol,.,1)
{txt}
{com}.         
.         drop test_acinfexp_apol
{txt}
{com}.         
.         * understand_epol
.         
.         lab var understand_epol "Has capacity to read/understand budget (elec. politician)"
{txt}
{com}.         
.         fre understand_epol
{res}
{txt}understand_epol {hline 2} Has capacity to read/understand budget (elec. politician)
{txt}{hline 28}{hline 1}{c TT}{hline 44}
{txt}        {txt}                     {c |}      Freq.    Percent      Valid       Cum.
{txt}{hline 28}{hline 1}{c +}{hline 44}
{txt}Valid   Definitely capable   {c |}{res}          1       1.64       5.26       5.26
{txt}        Only with difficulty {c |}{res}          2       3.28      10.53      15.79
{txt}        Somewhat capable     {c |}{res}          9      14.75      47.37      63.16
{txt}        Definitely capable   {c |}{res}          2       3.28      10.53      73.68
{txt}        Only with difficulty {c |}{res}          1       1.64       5.26      78.95
{txt}        Somewhat capable     {c |}{res}          4       6.56      21.05     100.00
{txt}        Total                {c |}{res}         19      31.15     100.00           
{txt}Missing                      {c |}{res}         42      68.85                      
{txt}Total                        {c |}{res}         61     100.00                      
{txt}{hline 28}{hline 1}{c BT}{hline 44}

{com}.         
.         replace understand_epol = "1" if regexm(understand_epol,"Definitely capable")
{txt}(3 real changes made)

{com}.         replace understand_epol = "2" if regexm(understand_epol,"Somewhat capable")
{txt}(13 real changes made)

{com}.         replace understand_epol = "3" if regexm(understand_epol,"Only with difficulty")
{txt}(3 real changes made)

{com}.         replace understand_epol = "4" if regexm(understand_epol,"Not capable")
{txt}(0 real changes made)

{com}.         replace understand_epol = "5" if regexm(understand_epol,"Do not know")
{txt}(0 real changes made)

{com}.         
.         destring understand_epol, replace
{txt}understand_epol: all characters numeric; {res}replaced {txt}as {res}byte
{txt}(42 missing values generated)
{res}{txt}
{com}.         lab def understand_epol 1 "Definitely capable" 2 "Somewhat capable" 3 "Only with difficulty" 4 "Not capable" 5 "Do not know / Refuse to answer"
{txt}
{com}.         lab val understand_epol understand_epol
{txt}
{com}.         
.         fre understand_epol
{res}
{txt}understand_epol {hline 2} Has capacity to read/understand budget (elec. politician)
{txt}{hline 30}{hline 1}{c TT}{hline 44}
{txt}        {txt}                       {c |}      Freq.    Percent      Valid       Cum.
{txt}{hline 30}{hline 1}{c +}{hline 44}
{txt}Valid   1 Definitely capable   {c |}{res}          3       4.92      15.79      15.79
{txt}        2 Somewhat capable     {c |}{res}         13      21.31      68.42      84.21
{txt}        3 Only with difficulty {c |}{res}          3       4.92      15.79     100.00
{txt}        Total                  {c |}{res}         19      31.15     100.00           
{txt}Missing .                      {c |}{res}         42      68.85                      
{txt}Total                          {c |}{res}         61     100.00                      
{txt}{hline 30}{hline 1}{c BT}{hline 44}

{com}.         
.         gen test_understand_epol = (understand_epol != .)
{txt}
{com}.         replace test_understand_epol = . if asked_survey == 0 
{txt}(37 real changes made, 37 to missing)

{com}.         replace test_understand_epol = . if elecpol_ovrsee == 0
{txt}(1 real change made, 1 to missing)

{com}.         fre test_understand_epol
{res}
{txt}test_understand_epol
{txt}{hline 13}{hline 1}{c TT}{hline 44}
{txt}        {txt}      {c |}      Freq.    Percent      Valid       Cum.
{txt}{hline 13}{hline 1}{c +}{hline 44}
{txt}Valid   0     {c |}{res}          4       6.56      17.39      17.39
{txt}        1     {c |}{res}         19      31.15      82.61     100.00
{txt}        Total {c |}{res}         23      37.70     100.00           
{txt}Missing .     {c |}{res}         38      62.30                      
{txt}Total         {c |}{res}         61     100.00                      
{txt}{hline 13}{hline 1}{c BT}{hline 44}

{com}.         assert inlist(test_understand_epol,.,1)
{txt}4 contradictions in 61 observations
{err}assertion is false
{txt}{search r(9), local:r(9);}

end of do-file

{search r(9), local:r(9);}

{com}. edit if test_understand_epol == 0

. do "/var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//SD44938.000000"
{txt}
{com}. 
.         * Purpose: Importing data to run HFC
.         
.         * Setting up globals
.         
.         if "`c(username)'" == "fredericcochinard" {c -(}
.                 
.                 global import_folder "/Users/fredericcochinard/Dropbox/Expert survey/Data/0.survey_dataset/0.import"
.                 global output "/Users/fredericcochinard/Dropbox/Expert survey/Data/0.survey_dataset/1.output"
.                 
.                 {c )-}
{txt}
{com}.                 
.         if "`c(username)'" == "" {c -(}
.         
.                 
.                 {c )-}
{txt}
{com}.         
.         * Looking for renaming folder with problem
.         
.         local myfiles: dir "$import_folder" files "*.xlsx"
{txt}
{com}. 
.         foreach file of local myfiles {c -(}
{txt}  2{com}.                 
.                 local subfile = substr("`file'", 1, .)
{txt}  3{com}.                 local subfile : subinstr local subfile " " "_", all
{txt}  4{com}.                 ! mv "${c -(}import_folder{c )-}/`file'" "${c -(}import_folder{c )-}/`subfile'"
{txt}  5{com}.                 
.                 {c )-}
{txt}

{com}.         
.         * Looking for dataset
.         
.         filelist , dir("$import_folder") pat("*.xlsx")
{res}{txt}Number of files found = {res}1
{txt}
{com}.         
.         gen url = filename
{txt}
{com}.         
.         levelsof url
{txt}`"Expert_survey_February_18,_2025_16.23.xlsx"'

{com}. 
.         local lvlfiles `r(levels)'
{txt}
{com}.         
.         local z = 0
{txt}
{com}.         
.         foreach lvl of local lvlfiles {c -(}
{txt}  2{com}.         
.                 local z = `z' + 1
{txt}  3{com}.                 
.                 local temp : subinstr local lvl `"""' "", all
{txt}  4{com}.                 local url : subinstr local temp "'" "", all
{txt}  5{com}.         
.                 import excel "${c -(}import_folder{c )-}/`url'", first case(lower) clear
{txt}  6{com}.                 
.                 gen num = _n
{txt}  7{com}.                 drop if num == 1
{txt}  8{com}.                 
.                 * Preparing the append
.                 
.                 tempfile data`z'
{txt}  9{com}.                 sa "`data`z''"
{txt} 10{com}.                 
.                 {c )-}
{res}{txt}(1 observation deleted)
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.000001 saved

{com}.                 
.         * We append the dataset to start cleaning
.         
.         use "`data1'", clear
{txt}
{com}.         
.         forvalues x = 2/`z' {c -(}
{txt}  2{com}.         
.                 append using "`data`x''"
{txt}  3{com}.                 
.                 {c )-}
{txt}
{com}.                 
.         duplicates drop

{p 0 4}{txt}Duplicates in terms of {txt} all variables{p_end}

(0 observations are duplicates)

{com}.         
.         * We keep relevant variable
.         drop if recipientemail == "frederic.cochinard@gmail.com"
{txt}(8 observations deleted)

{com}.         drop if recipientemail == "vedpant+spanish@college.harvard.edu"
{txt}(1 observation deleted)

{com}.         drop if recipientemail == "frederic.cochinard+3@gmail.com"
{txt}(1 observation deleted)

{com}.         drop if recipientemail == "frederic.cochinard+1@gmail.com"
{txt}(1 observation deleted)

{com}.         
.         * We remove observation that are not finished
.         drop if finished == "False"
{txt}(9 observations deleted)

{com}.         
.         * We create a save
.         
.         tempfile save_data
{txt}
{com}.         sa "`save_data'"
{txt}file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.000002 saved

{com}.         
.         ******************
.         * Payment module *
.         ******************
.         
.         preserve
{txt}
{com}.         
.         keep responseid method_pay_bank_in_q-q977
{txt}
{com}.         compress
  {txt}variable {bf}method_pay_bank_in_q{sf} was {bf}{res}str237{sf}{txt} now {bf}{res}str24{sf}
  {txt}variable {bf}expert_donation_org{sf} was {bf}{res}str129{sf}{txt} now {bf}{res}str23{sf}
  {txt}variable {bf}q967{sf} was {bf}{res}str236{sf}{txt} now {bf}{res}str65{sf}
  {txt}variable {bf}q978{sf} was {bf}{res}str326{sf}{txt} now {bf}{res}str16{sf}
  {txt}variable {bf}q979{sf} was {bf}{res}str104{sf}{txt} now {bf}{res}str39{sf}
  {txt}variable {bf}q980{sf} was {bf}{res}str95{sf}{txt} now {bf}{res}str11{sf}
  {txt}variable {bf}q987{sf} was {bf}{res}str170{sf}{txt} now {bf}{res}str24{sf}
  {txt}variable {bf}q984{sf} was {bf}{res}str326{sf}{txt} now {bf}{res}str1{sf}
  {txt}variable {bf}q985{sf} was {bf}{res}str104{sf}{txt} now {bf}{res}str1{sf}
  {txt}variable {bf}q986{sf} was {bf}{res}str95{sf}{txt} now {bf}{res}str1{sf}
  {txt}variable {bf}q988{sf} was {bf}{res}str170{sf}{txt} now {bf}{res}str1{sf}
  {txt}variable {bf}q989{sf} was {bf}{res}str559{sf}{txt} now {bf}{res}str1{sf}
  {txt}variable {bf}q990{sf} was {bf}{res}str102{sf}{txt} now {bf}{res}str1{sf}
  {txt}variable {bf}q991{sf} was {bf}{res}str93{sf}{txt} now {bf}{res}str1{sf}
  {txt}variable {bf}q992{sf} was {bf}{res}str170{sf}{txt} now {bf}{res}str1{sf}
  {txt}variable {bf}q998{sf} was {bf}{res}str537{sf}{txt} now {bf}{res}str1{sf}
  {txt}variable {bf}q997{sf} was {bf}{res}str105{sf}{txt} now {bf}{res}str1{sf}
  {txt}variable {bf}q999{sf} was {bf}{res}str104{sf}{txt} now {bf}{res}str1{sf}
  {txt}variable {bf}q1000{sf} was {bf}{res}str95{sf}{txt} now {bf}{res}str1{sf}
  {txt}variable {bf}q1001{sf} was {bf}{res}str170{sf}{txt} now {bf}{res}str1{sf}
  {txt}variable {bf}q977{sf} was {bf}{res}str502{sf}{txt} now {bf}{res}str23{sf}
{txt}  (46,101 bytes saved)

{com}.         
.         * Donate_d
.         
.         gen donate_d = 0
{txt}
{com}.         replace donate_d = 1 if method_pay_bank_in_q == "I prefer to donate"
{txt}(3 real changes made)

{com}.         
.         * Special case
.         replace donate_d = 1 if responseid == "R_4ouc7tR6BFj3gpb" // respondent is refusing to take money in comments
{txt}(1 real change made)

{com}.         replace donate_d = 1 if responseid == "R_4Iow7YzsoT2KTOx" // respondent is writing cancel in comments
{txt}(1 real change made)

{com}.         
.         lab var donate_d "Respondent decided to donate"
{txt}
{com}.         lab def donate_d 0 "No" 1 "Yes"
{txt}
{com}.         lab val donate_d donate_d
{txt}
{com}.         order donate_d, after(responseid)
{txt}
{com}.         
.         * Org
.         
.         gen org_donation_id = "" 
{txt}(11 missing values generated)

{com}.         replace org_donation_id = expert_donation_org if donate_d == 1
{txt}variable {bf}org_donation_id{sf} was {bf}{res}str1{sf}{txt} now {bf}{res}str23{sf}
{txt}(3 real changes made)

{com}.         replace org_donation_id = "No choice" if donate_d == 1 & org_donation_id == ""
{txt}(2 real changes made)

{com}.         lab var org_donation_id "Name of the organization the respondent chose to donate"
{txt}
{com}.         order org_donation_id, after(donate_d)
{txt}
{com}.         
.         * Paid status
.         
.         gen paid_status = 0
{txt}
{com}.         replace paid_status = 2 if donate_d == 1
{txt}(5 real changes made)

{com}.         
.         * Case of payment
.         
.         lab var paid_status "Status of payment of the respondent"
{txt}
{com}.         lab def paid_status 0 "Not yet" 1 "Yes" 2 "Donation"
{txt}
{com}.         lab val paid_status paid_status
{txt}
{com}.         order paid_status, after(org_donation_id)
{txt}
{com}.         
.         keep responseid donate_d org_donation_id paid_status
{txt}
{com}.         
.         tempfile payment_module
{txt}
{com}.         sa "`payment_module'"
{txt}file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.000004 saved

{com}.         
.         restore
{txt}
{com}.         
.         * Main form of survey 
.         keep country full_name recipientemail responseid progress durationinseconds finished userlanguage num_unit confirmation_* ///
>         title_bur* elecpol_ovrsee* title_elecpol* aptpol_d* title_aptpol* who_aptpol* mostinf_servdel* educ_elecpolbur* ///
>         educ_apolbur* slry_elecpolbur* slry_apolbur* fdout_epol_bgt* fdout_apol_bgt* budsect_epol* budsect_apol* acinfexp_epol* /// 
>         acinfexp_apol* understand_epol* understand_apol* acttake_epol* acttake_epol* acttake_apol* acttake_apol* likely* why_likchan* /// 
>         who_apt_bur* who_apt_bur* who_fir_bur* who_fir_bur* ocap_epol* ocap_apol* prio_epol* prio_apol* overall_conf* avg_educ_epol* ///
>         avg_educ_apol* avg_educ_buro* avg_slry_epol* avg_slry_apol* avg_slry_buro* //
{txt}
{com}.         
.         destring durationinseconds progress, replace
{txt}durationinseconds: all characters numeric; {res}replaced {txt}as {res}int
{txt}progress: all characters numeric; {res}replaced {txt}as {res}byte
{txt}
{com}.         replace durationinseconds = round(durationinseconds/60)
{txt}(11 real changes made)

{com}.         ren durationinseconds duration_minutes
{res}{txt}
{com}. 
.         *--
.         
.         local id country full_name recipientemail responseid userlanguage num_unit finished progress duration_minutes
{txt}
{com}.         
.         order `id', first
{txt}
{com}.         duplicates drop `id', force

{p 0 4}{txt}Duplicates in terms of {res} country full_name recipientemail responseid userlanguage num_unit finished progress duration_minutes{p_end}

{txt}(0 observations are duplicates)

{com}.         
.         * Renaming others
.         
.         forvalues x = 1/3 {c -(}
{txt}  2{com}.                 
.                 forvalues y = 1/6 {c -(} 
{txt}  3{com}.                 
.                         cap ren who_apt_bur_`x'_`y'_8_text who_apt_buroth_`x'_`y'
{txt}  4{com}.                         cap ren who_fir_bur_`x'_`y'_8_text who_fir_buroth_`x'_`y'
{txt}  5{com}.                         cap ren acttake_epol_`x'_`y'_9_text acttake_epoloth_`x'_`y'
{txt}  6{com}.                         cap ren acttake_apol_`x'_`y'_9_text acttake_apoloth_`x'_`y'
{txt}  7{com}.                         
.                         {c )-}
{txt}  8{com}.                         
.                 {c )-}
{txt}
{com}.         
.         #delimit ;
{txt}delimiter now ;
{com}.         local var confirmation
>         title_bur 
>         elecpol_ovrsee
>         title_elecpol
>         aptpol_d
>         title_aptpol
>         who_aptpol
>         mostinf_servdel
>         educ_elecpolbur
>         educ_apolbur
>         slry_elecpolbur
>         slry_apolbur
>         fdout_epol_bgt
>         fdout_apol_bgt
>         budsect_epol
>         budsect_apol
>         acinfexp_epol
>         acinfexp_apol
>         understand_epol
>         understand_apol
>         acttake_epol
>         acttake_epoloth
>         acttake_apol
>         acttake_apoloth
>         likely
>         why_likchan
>         who_apt_bur
>         who_apt_buroth
>         who_fir_bur
>         who_fir_buroth
>         ocap_epol
>         ocap_apol
>         prio_epol
>         prio_apol
>         overall_conf
>         avg_educ_epol
>         avg_educ_apol
>         avg_educ_buro
>         avg_slry_epol
>         avg_slry_apol
>         avg_slry_buro
>         
>         ;
{txt}
{com}.                 #delimit cr
{txt}delimiter now cr
{com}. 
.         reshape long `var', i(`id') j(pos) s
{txt}(note: j = _1_1 _1_4 _1_5 _1_6 _2_1 _2_2 _2_4 _2_5 _2_6 _3_1 _3_2 _3_3 _3_4 _3_5 _3_6)
(note: confirmation_1_4 not found)
(note: confirmation_1_5 not found)
(note: confirmation_1_6 not found)
(note: confirmation_2_4 not found)
(note: confirmation_2_5 not found)
(note: confirmation_2_6 not found)
(note: confirmation_3_4 not found)
(note: confirmation_3_5 not found)
(note: confirmation_3_6 not found)

Data{col 36}wide{col 43}->{col 48}long
{hline 77}
Number of obs.                 {res}      11   {txt}->{res}     165
{txt}Number of variables            {res}     615   {txt}->{res}      51
{txt}j variable (15 values)                    ->   {res}pos
{txt}xij variables:
{res}confirmation_1_1 confirmation_1_4 ... confirmation_3_6{txt}->{res}confirmation
title_bur_1_1 title_bur_1_4 ... title_bur_3_6{txt}->{res}title_bur
elecpol_ovrsee_1_1 elecpol_ovrsee_1_4 ... elecpol_ovrsee_3_6{txt}->{res}elecpol_ovrsee
title_elecpol_1_1 title_elecpol_1_4 ... title_elecpol_3_6{txt}->{res}title_elecpol
aptpol_d_1_1 aptpol_d_1_4 ... aptpol_d_3_6{txt}->   {res}aptpol_d
title_aptpol_1_1 title_aptpol_1_4 ... title_aptpol_3_6{txt}->{res}title_aptpol
who_aptpol_1_1 who_aptpol_1_4 ... who_aptpol_3_6{txt}->{res}who_aptpol
mostinf_servdel_1_1 mostinf_servdel_1_4 ... mostinf_servdel_3_6{txt}->{res}mostinf_servdel
educ_elecpolbur_1_1 educ_elecpolbur_1_4 ... educ_elecpolbur_3_6{txt}->{res}educ_elecpolbur
educ_apolbur_1_1 educ_apolbur_1_4 ... educ_apolbur_3_6{txt}->{res}educ_apolbur
slry_elecpolbur_1_1 slry_elecpolbur_1_4 ... slry_elecpolbur_3_6{txt}->{res}slry_elecpolbur
slry_apolbur_1_1 slry_apolbur_1_4 ... slry_apolbur_3_6{txt}->{res}slry_apolbur
fdout_epol_bgt_1_1 fdout_epol_bgt_1_4 ... fdout_epol_bgt_3_6{txt}->{res}fdout_epol_bgt
fdout_apol_bgt_1_1 fdout_apol_bgt_1_4 ... fdout_apol_bgt_3_6{txt}->{res}fdout_apol_bgt
budsect_epol_1_1 budsect_epol_1_4 ... budsect_epol_3_6{txt}->{res}budsect_epol
budsect_apol_1_1 budsect_apol_1_4 ... budsect_apol_3_6{txt}->{res}budsect_apol
acinfexp_epol_1_1 acinfexp_epol_1_4 ... acinfexp_epol_3_6{txt}->{res}acinfexp_epol
acinfexp_apol_1_1 acinfexp_apol_1_4 ... acinfexp_apol_3_6{txt}->{res}acinfexp_apol
understand_epol_1_1 understand_epol_1_4 ... understand_epol_3_6{txt}->{res}understand_epol
understand_apol_1_1 understand_apol_1_4 ... understand_apol_3_6{txt}->{res}understand_apol
acttake_epol_1_1 acttake_epol_1_4 ... acttake_epol_3_6{txt}->{res}acttake_epol
acttake_epoloth_1_1 acttake_epoloth_1_4 ... acttake_epoloth_3_6{txt}->{res}acttake_epoloth
acttake_apol_1_1 acttake_apol_1_4 ... acttake_apol_3_6{txt}->{res}acttake_apol
acttake_apoloth_1_1 acttake_apoloth_1_4 ... acttake_apoloth_3_6{txt}->{res}acttake_apoloth
   likely_1_1 likely_1_4 ... likely_3_6   {txt}->   {res}likely
why_likchan_1_1 why_likchan_1_4 ... why_likchan_3_6{txt}->{res}why_likchan
who_apt_bur_1_1 who_apt_bur_1_4 ... who_apt_bur_3_6{txt}->{res}who_apt_bur
who_apt_buroth_1_1 who_apt_buroth_1_4 ... who_apt_buroth_3_6{txt}->{res}who_apt_buroth
who_fir_bur_1_1 who_fir_bur_1_4 ... who_fir_bur_3_6{txt}->{res}who_fir_bur
who_fir_buroth_1_1 who_fir_buroth_1_4 ... who_fir_buroth_3_6{txt}->{res}who_fir_buroth
ocap_epol_1_1 ocap_epol_1_4 ... ocap_epol_3_6{txt}->{res}ocap_epol
ocap_apol_1_1 ocap_apol_1_4 ... ocap_apol_3_6{txt}->{res}ocap_apol
prio_epol_1_1 prio_epol_1_4 ... prio_epol_3_6{txt}->{res}prio_epol
prio_apol_1_1 prio_apol_1_4 ... prio_apol_3_6{txt}->{res}prio_apol
overall_conf_1_1 overall_conf_1_4 ... overall_conf_3_6{txt}->{res}overall_conf
avg_educ_epol_1_1 avg_educ_epol_1_4 ... avg_educ_epol_3_6{txt}->{res}avg_educ_epol
avg_educ_apol_1_1 avg_educ_apol_1_4 ... avg_educ_apol_3_6{txt}->{res}avg_educ_apol
avg_educ_buro_1_1 avg_educ_buro_1_4 ... avg_educ_buro_3_6{txt}->{res}avg_educ_buro
avg_slry_epol_1_1 avg_slry_epol_1_4 ... avg_slry_epol_3_6{txt}->{res}avg_slry_epol
avg_slry_apol_1_1 avg_slry_apol_1_4 ... avg_slry_apol_3_6{txt}->{res}avg_slry_apol
avg_slry_buro_1_1 avg_slry_buro_1_4 ... avg_slry_buro_3_6{txt}->{res}avg_slry_buro
{txt}{hline 77}

{com}.         
.         * Filter data
.         
.         split pos, p("_")
{res}variables created as string: 
{txt}{col 1}pos1{col 7}pos2{col 13}pos3

{com}.         
.         drop pos1
{txt}
{com}.         ren pos2 case_n_unit
{res}{txt}
{com}.         ren pos3 unit_num
{res}{txt}
{com}.         destring case_n_unit unit_num, replace
{txt}case_n_unit: all characters numeric; {res}replaced {txt}as {res}byte
{txt}unit_num: all characters numeric; {res}replaced {txt}as {res}byte
{txt}
{com}.         order case_n_unit unit_num, after(duration_minutes)
{txt}
{com}.         drop pos
{txt}
{com}.         
.         destring num_unit, replace
{txt}num_unit: all characters numeric; {res}replaced {txt}as {res}byte
{txt}
{com}.         drop if num_unit != case_n_unit
{txt}(104 observations deleted)

{com}.         drop num_unit
{txt}
{com}.         
.         compress
  {txt}variable {bf}country{sf} was {bf}{res}str15{sf}{txt} now {bf}{res}str11{sf}
  {txt}variable {bf}full_name{sf} was {bf}{res}str28{sf}{txt} now {bf}{res}str23{sf}
  {txt}variable {bf}recipientemail{sf} was {bf}{res}str35{sf}{txt} now {bf}{res}str32{sf}
  {txt}variable {bf}userlanguage{sf} was {bf}{res}str13{sf}{txt} now {bf}{res}str2{sf}
  {txt}variable {bf}finished{sf} was {bf}{res}str8{sf}{txt} now {bf}{res}str4{sf}
  {txt}variable {bf}title_bur{sf} was {bf}{res}str448{sf}{txt} now {bf}{res}str235{sf}
  {txt}variable {bf}elecpol_ovrsee{sf} was {bf}{res}str352{sf}{txt} now {bf}{res}str3{sf}
  {txt}variable {bf}title_elecpol{sf} was {bf}{res}str312{sf}{txt} now {bf}{res}str288{sf}
  {txt}variable {bf}aptpol_d{sf} was {bf}{res}str332{sf}{txt} now {bf}{res}str30{sf}
  {txt}variable {bf}who_aptpol{sf} was {bf}{res}str96{sf}{txt} now {bf}{res}str84{sf}
  {txt}variable {bf}mostinf_servdel{sf} was {bf}{res}str256{sf}{txt} now {bf}{res}str44{sf}
  {txt}variable {bf}educ_elecpolbur{sf} was {bf}{res}str258{sf}{txt} now {bf}{res}str51{sf}
  {txt}variable {bf}educ_apolbur{sf} was {bf}{res}str260{sf}{txt} now {bf}{res}str1{sf}
  {txt}variable {bf}slry_elecpolbur{sf} was {bf}{res}str316{sf}{txt} now {bf}{res}str47{sf}
  {txt}variable {bf}slry_apolbur{sf} was {bf}{res}str318{sf}{txt} now {bf}{res}str1{sf}
  {txt}variable {bf}fdout_epol_bgt{sf} was {bf}{res}str373{sf}{txt} now {bf}{res}str19{sf}
  {txt}variable {bf}fdout_apol_bgt{sf} was {bf}{res}str375{sf}{txt} now {bf}{res}str1{sf}
  {txt}variable {bf}budsect_epol{sf} was {bf}{res}str217{sf}{txt} now {bf}{res}str19{sf}
  {txt}variable {bf}budsect_apol{sf} was {bf}{res}str219{sf}{txt} now {bf}{res}str1{sf}
  {txt}variable {bf}acinfexp_epol{sf} was {bf}{res}str216{sf}{txt} now {bf}{res}str19{sf}
  {txt}variable {bf}acinfexp_apol{sf} was {bf}{res}str218{sf}{txt} now {bf}{res}str1{sf}
  {txt}variable {bf}understand_epol{sf} was {bf}{res}str214{sf}{txt} now {bf}{res}str21{sf}
  {txt}variable {bf}understand_apol{sf} was {bf}{res}str216{sf}{txt} now {bf}{res}str21{sf}
  {txt}variable {bf}acttake_epol{sf} was {bf}{res}str247{sf}{txt} now {bf}{res}str163{sf}
  {txt}variable {bf}acttake_epoloth{sf} was {bf}{res}str261{sf}{txt} now {bf}{res}str63{sf}
  {txt}variable {bf}acttake_apol{sf} was {bf}{res}str250{sf}{txt} now {bf}{res}str1{sf}
  {txt}variable {bf}acttake_apoloth{sf} was {bf}{res}str264{sf}{txt} now {bf}{res}str1{sf}
  {txt}variable {bf}likely{sf} was {bf}{res}str159{sf}{txt} now {bf}{res}str18{sf}
  {txt}variable {bf}who_apt_bur{sf} was {bf}{res}str126{sf}{txt} now {bf}{res}str64{sf}
  {txt}variable {bf}who_fir_bur{sf} was {bf}{res}str120{sf}{txt} now {bf}{res}str64{sf}
  {txt}variable {bf}who_fir_buroth{sf} was {bf}{res}str134{sf}{txt} now {bf}{res}str77{sf}
  {txt}variable {bf}ocap_epol{sf} was {bf}{res}str359{sf}{txt} now {bf}{res}str55{sf}
  {txt}variable {bf}ocap_apol{sf} was {bf}{res}str361{sf}{txt} now {bf}{res}str1{sf}
  {txt}variable {bf}prio_epol{sf} was {bf}{res}str209{sf}{txt} now {bf}{res}str73{sf}
  {txt}variable {bf}prio_apol{sf} was {bf}{res}str211{sf}{txt} now {bf}{res}str1{sf}
  {txt}variable {bf}overall_conf{sf} was {bf}{res}str191{sf}{txt} now {bf}{res}str17{sf}
  {txt}variable {bf}avg_educ_buro{sf} was {bf}{res}str117{sf}{txt} now {bf}{res}str101{sf}
  {txt}variable {bf}avg_slry_apol{sf} was {bf}{res}str134{sf}{txt} now {bf}{res}str128{sf}
  {txt}variable {bf}avg_slry_buro{sf} was {bf}{res}str134{sf}{txt} now {bf}{res}str87{sf}
  {txt}variable {bf}confirmation{sf} was {bf}{res}str1148{sf}{txt} now {bf}{res}str63{sf}
{txt}  (462,685 bytes saved)

{com}.         
.         * We edit the label 
.         
.         lab var country "Country"
{txt}
{com}.         lab var full_name  "Full name of recipient"
{txt}
{com}.         lab var recipientemail "Recipient email"
{txt}
{com}.         lab var userlanguage "Language used to answer"
{txt}
{com}.         lab var finished "Completion status"
{txt}
{com}.         lab var progress "Progress"
{txt}
{com}.         lab var duration_minutes "Duration in minutes"
{txt}
{com}.         lab var case_n_unit "Original number of entities"
{txt}
{com}.         lab var unit_num "Unit number"
{txt}
{com}.         
.         * Confirmation
.         
.         fre confirmation
{res}
{txt}confirmation
{txt}{hline 54}{hline 1}{c TT}{hline 44}
{txt}        {txt}                                               {c |}      Freq.    Percent      Valid       Cum.
{txt}{hline 54}{hline 1}{c +}{hline 44}
{txt}Valid   No, this is inaccurate. This level needs to be {c |}{res}          2       3.28       7.14       7.14
{txt}        replaced/deleted                               {c |}{res}                                            
{txt}        No, this level needs to be replaced/deleted    {c |}{res}          2       3.28       7.14      14.29
{txt}        Yes, this is accurate                          {c |}{res}         24      39.34      85.71     100.00
{txt}        Total                                          {c |}{res}         28      45.90     100.00           
{txt}Missing                                                {c |}{res}         33      54.10                      
{txt}Total                                                  {c |}{res}         61     100.00                      
{txt}{hline 54}{hline 1}{c BT}{hline 44}

{com}.         replace confirmation = "1" if confirmation == "Yes, this is accurate"
{txt}(24 real changes made)

{com}.         replace confirmation = "0" if regexm(confirmation,"No")
{txt}(4 real changes made)

{com}.         destring confirmation, replace
{txt}confirmation: all characters numeric; {res}replaced {txt}as {res}byte
{txt}(33 missing values generated)
{res}{txt}
{com}.         
.         lab var confirmation "Confirmation of adequacy of unit"
{txt}
{com}.         lab def confirmation 0 "No, this is not accurate. It should be replaced/deleted" 1 "Yes, this is accurate"
{txt}
{com}.         lab val confirmation confirmation
{txt}
{com}.         
.         fre confirmation
{res}
{txt}confirmation {hline 2} Confirmation of adequacy of unit
{txt}{hline 48}{hline 1}{c TT}{hline 44}
{txt}        {txt}                                         {c |}      Freq.    Percent      Valid       Cum.
{txt}{hline 48}{hline 1}{c +}{hline 44}
{txt}Valid   0 No, this is not accurate. It should be {c |}{res}          4       6.56      14.29      14.29
{txt}          replaced/deleted                       {c |}{res}                                            
{txt}        1 Yes, this is accurate                  {c |}{res}         24      39.34      85.71     100.00
{txt}        Total                                    {c |}{res}         28      45.90     100.00           
{txt}Missing .                                        {c |}{res}         33      54.10                      
{txt}Total                                            {c |}{res}         61     100.00                      
{txt}{hline 48}{hline 1}{c BT}{hline 44}

{com}.         
.         order confirmation, after(unit_num)
{txt}
{com}.         
.         * Creating variable about asked_survey (should be updated)
.         
.         gen asked_survey = 0
{txt}
{com}.         replace asked_survey = 1 if confirmation == 1
{txt}(24 real changes made)

{com}.         lab var asked_survey "Survey question asked to respondent"
{txt}
{com}.         lab def yesno 0 "No" 1 "Yes"
{txt}
{com}.         lab val asked_survey yesno
{txt}
{com}.         order asked_survey, after(confirmation)
{txt}
{com}.         
.         * title_bur
.         
.         lab var title_bur "Title of the highest-level bureaucrat in unit"
{txt}
{com}.         
.         gen test_title_bur = (title_bur != "")
{txt}
{com}.         replace test_title_bur = . if asked_survey == 0
{txt}(37 real changes made, 37 to missing)

{com}.         fre test_title_bur
{res}
{txt}test_title_bur
{txt}{hline 9}{hline 1}{c TT}{hline 44}
{txt}        {txt}  {c |}      Freq.    Percent      Valid       Cum.
{txt}{hline 9}{hline 1}{c +}{hline 44}
{txt}Valid   1 {c |}{res}         24      39.34     100.00     100.00
{txt}Missing . {c |}{res}         37      60.66                      
{txt}Total     {c |}{res}         61     100.00                      
{txt}{hline 9}{hline 1}{c BT}{hline 44}

{com}.         assert inlist(test_title_bur,.,1)
{txt}
{com}.         
.         drop test_title_bur
{txt}
{com}.         
.         * elecpol_ovrsee
.         
.         lab var elecpol_ovrsee "Any politicians in unit overseeing service delivery"
{txt}
{com}.         replace elecpol_ovrsee = "0" if elecpol_ovrsee == "No"
{txt}(2 real changes made)

{com}.         replace elecpol_ovrsee = "1" if elecpol_ovrsee == "Yes"
{txt}(23 real changes made)

{com}.         destring elecpol_ovrsee, replace
{txt}elecpol_ovrsee: all characters numeric; {res}replaced {txt}as {res}byte
{txt}(36 missing values generated)
{res}{txt}
{com}.         lab val elecpol_ovrsee yesno
{txt}
{com}.         
.         fre elecpol_ovrsee
{res}
{txt}elecpol_ovrsee {hline 2} Any politicians in unit overseeing service delivery
{txt}{hline 13}{hline 1}{c TT}{hline 44}
{txt}        {txt}      {c |}      Freq.    Percent      Valid       Cum.
{txt}{hline 13}{hline 1}{c +}{hline 44}
{txt}Valid   0 No  {c |}{res}          2       3.28       8.00       8.00
{txt}        1 Yes {c |}{res}         23      37.70      92.00     100.00
{txt}        Total {c |}{res}         25      40.98     100.00           
{txt}Missing .     {c |}{res}         36      59.02                      
{txt}Total         {c |}{res}         61     100.00                      
{txt}{hline 13}{hline 1}{c BT}{hline 44}

{com}.         
.         gen test_elecpol_ovrsee = (elecpol_ovrsee != .)
{txt}
{com}.         replace test_elecpol_ovrsee = . if asked_survey == 0
{txt}(37 real changes made, 37 to missing)

{com}.         fre test_elecpol_ovrsee
{res}
{txt}test_elecpol_ovrsee
{txt}{hline 9}{hline 1}{c TT}{hline 44}
{txt}        {txt}  {c |}      Freq.    Percent      Valid       Cum.
{txt}{hline 9}{hline 1}{c +}{hline 44}
{txt}Valid   1 {c |}{res}         24      39.34     100.00     100.00
{txt}Missing . {c |}{res}         37      60.66                      
{txt}Total     {c |}{res}         61     100.00                      
{txt}{hline 9}{hline 1}{c BT}{hline 44}

{com}.         assert inlist(test_elecpol_ovrsee,.,1)
{txt}
{com}.         
.         drop test_elecpol_ovrsee
{txt}
{com}.         
.         * title_elecpol
.         
.         lab var title_elecpol "Title of the highest-level elected politician in unit"
{txt}
{com}.         
.         gen test_title_elecpol = (title_elecpol != "")
{txt}
{com}.         replace test_title_elecpol = . if asked_survey == 0
{txt}(37 real changes made, 37 to missing)

{com}.         replace test_title_elecpol = . if elecpol_ovrsee == 0
{txt}(1 real change made, 1 to missing)

{com}.         fre test_title_elecpol
{res}
{txt}test_title_elecpol
{txt}{hline 9}{hline 1}{c TT}{hline 44}
{txt}        {txt}  {c |}      Freq.    Percent      Valid       Cum.
{txt}{hline 9}{hline 1}{c +}{hline 44}
{txt}Valid   1 {c |}{res}         23      37.70     100.00     100.00
{txt}Missing . {c |}{res}         38      62.30                      
{txt}Total     {c |}{res}         61     100.00                      
{txt}{hline 9}{hline 1}{c BT}{hline 44}

{com}.         assert inlist(test_title_elecpol,.,1)
{txt}
{com}.         
.         drop test_title_elecpol
{txt}
{com}.         
.         * aptpol_d
.         
.         fre aptpol_d
{res}
{txt}aptpol_d
{txt}{hline 38}{hline 1}{c TT}{hline 44}
{txt}        {txt}                               {c |}      Freq.    Percent      Valid       Cum.
{txt}{hline 38}{hline 1}{c +}{hline 44}
{txt}Valid   Do not know / Refuse to answer {c |}{res}          1       1.64       4.00       4.00
{txt}        No                             {c |}{res}         15      24.59      60.00      64.00
{txt}        Yes                            {c |}{res}          9      14.75      36.00     100.00
{txt}        Total                          {c |}{res}         25      40.98     100.00           
{txt}Missing                                {c |}{res}         36      59.02                      
{txt}Total                                  {c |}{res}         61     100.00                      
{txt}{hline 38}{hline 1}{c BT}{hline 44}

{com}.         
.         lab var aptpol_d "Politician appointed by higher politician in unit"
{txt}
{com}.         replace aptpol_d = "0" if aptpol_d == "No"
{txt}(15 real changes made)

{com}.         replace aptpol_d = "1" if aptpol_d == "Yes"
{txt}(9 real changes made)

{com}.         replace aptpol_d = "-98" if aptpol_d == "Do not know / Refuse to answer"
{txt}(1 real change made)

{com}.         destring aptpol_d, replace
{txt}aptpol_d: all characters numeric; {res}replaced {txt}as {res}byte
{txt}(36 missing values generated)
{res}{txt}
{com}.         lab val aptpol_d yesno
{txt}
{com}.         
.         fre aptpol_d
{res}
{txt}aptpol_d {hline 2} Politician appointed by higher politician in unit
{txt}{hline 15}{hline 1}{c TT}{hline 44}
{txt}        {txt}        {c |}      Freq.    Percent      Valid       Cum.
{txt}{hline 15}{hline 1}{c +}{hline 44}
{txt}Valid   -98     {c |}{res}          1       1.64       4.00       4.00
{txt}        0   No  {c |}{res}         15      24.59      60.00      64.00
{txt}        1   Yes {c |}{res}          9      14.75      36.00     100.00
{txt}        Total   {c |}{res}         25      40.98     100.00           
{txt}Missing .       {c |}{res}         36      59.02                      
{txt}Total           {c |}{res}         61     100.00                      
{txt}{hline 15}{hline 1}{c BT}{hline 44}

{com}.         
.         gen test_aptpol_d = (aptpol_d != .)
{txt}
{com}.         replace test_aptpol_d = . if asked_survey == 0
{txt}(37 real changes made, 37 to missing)

{com}.         fre test_aptpol_d
{res}
{txt}test_aptpol_d
{txt}{hline 9}{hline 1}{c TT}{hline 44}
{txt}        {txt}  {c |}      Freq.    Percent      Valid       Cum.
{txt}{hline 9}{hline 1}{c +}{hline 44}
{txt}Valid   1 {c |}{res}         24      39.34     100.00     100.00
{txt}Missing . {c |}{res}         37      60.66                      
{txt}Total     {c |}{res}         61     100.00                      
{txt}{hline 9}{hline 1}{c BT}{hline 44}

{com}.         assert inlist(test_aptpol_d,.,1)
{txt}
{com}.         
.         drop test_aptpol_d
{txt}
{com}.         
.         * pol_exist_d
.         
.         gen pol_exist_d = 0
{txt}
{com}.         replace pol_exist_d = 1 if aptpol_d == 1 | elecpol_ovrsee == 1
{txt}(23 real changes made)

{com}.         replace pol_exist_d = . if asked_survey == 0
{txt}(37 real changes made, 37 to missing)

{com}.         lab val pol_exist_d yesno
{txt}
{com}.         lab var pol_exist_d "1 if we have either an appointed or elected politician"
{txt}
{com}.         
.         fre pol_exist_d
{res}
{txt}pol_exist_d {hline 2} 1 if we have either an appointed or elected politician
{txt}{hline 13}{hline 1}{c TT}{hline 44}
{txt}        {txt}      {c |}      Freq.    Percent      Valid       Cum.
{txt}{hline 13}{hline 1}{c +}{hline 44}
{txt}Valid   0 No  {c |}{res}          1       1.64       4.17       4.17
{txt}        1 Yes {c |}{res}         23      37.70      95.83     100.00
{txt}        Total {c |}{res}         24      39.34     100.00           
{txt}Missing .     {c |}{res}         37      60.66                      
{txt}Total         {c |}{res}         61     100.00                      
{txt}{hline 13}{hline 1}{c BT}{hline 44}

{com}.         order pol_exist_d, after(aptpol_d)
{txt}
{com}.         
.         * title_aptpol
.         
.         lab var title_aptpol "Title of the highest-level appointed politician in unit"
{txt}
{com}.         
.         gen test_title_aptpol = (title_aptpol != "")
{txt}
{com}.         replace test_title_aptpol = . if asked_survey == 0 
{txt}(37 real changes made, 37 to missing)

{com}.         replace test_title_aptpol = . if aptpol_d == 0 | aptpol_d == -98
{txt}(15 real changes made, 15 to missing)

{com}.         fre test_title_aptpol
{res}
{txt}test_title_aptpol
{txt}{hline 9}{hline 1}{c TT}{hline 44}
{txt}        {txt}  {c |}      Freq.    Percent      Valid       Cum.
{txt}{hline 9}{hline 1}{c +}{hline 44}
{txt}Valid   1 {c |}{res}          9      14.75     100.00     100.00
{txt}Missing . {c |}{res}         52      85.25                      
{txt}Total     {c |}{res}         61     100.00                      
{txt}{hline 9}{hline 1}{c BT}{hline 44}

{com}.         assert inlist(test_title_aptpol,.,1)
{txt}
{com}.         
.         drop test_title_aptpol
{txt}
{com}.         
.         * who_aptpol
.         
.         lab var who_aptpol "Who appoints the highest-level appointed politician in unit"
{txt}
{com}.         
.         gen test_who_aptpol = (who_aptpol != "")
{txt}
{com}.         replace test_who_aptpol = . if asked_survey == 0 
{txt}(37 real changes made, 37 to missing)

{com}.         replace test_who_aptpol = . if aptpol_d == 0 | aptpol_d == -98
{txt}(15 real changes made, 15 to missing)

{com}.         fre test_who_aptpol
{res}
{txt}test_who_aptpol
{txt}{hline 9}{hline 1}{c TT}{hline 44}
{txt}        {txt}  {c |}      Freq.    Percent      Valid       Cum.
{txt}{hline 9}{hline 1}{c +}{hline 44}
{txt}Valid   1 {c |}{res}          9      14.75     100.00     100.00
{txt}Missing . {c |}{res}         52      85.25                      
{txt}Total     {c |}{res}         61     100.00                      
{txt}{hline 9}{hline 1}{c BT}{hline 44}

{com}.         assert inlist(test_who_aptpol,.,1)
{txt}
{com}.         
.         drop test_who_aptpol
{txt}
{com}.         
.         * mostinf_servdel
.         
.         lab var mostinf_servdel "More influential in determining quality of service"
{txt}
{com}.         
.         replace mostinf_servdel = "1" if regexm(mostinf_servdel,"Elected much more")
{txt}(5 real changes made)

{com}.         replace mostinf_servdel = "2" if regexm(mostinf_servdel,"Elected slightly more")
{txt}(0 real changes made)

{com}.         replace mostinf_servdel = "3" if regexm(mostinf_servdel,"About the same")
{txt}(1 real change made)

{com}.         replace mostinf_servdel = "4" if regexm(mostinf_servdel,"Appointed slightly more")
{txt}(0 real changes made)

{com}.         replace mostinf_servdel = "5" if regexm(mostinf_servdel,"Appointed much more")
{txt}(3 real changes made)

{com}.         destring mostinf_servdel, replace
{txt}mostinf_servdel: all characters numeric; {res}replaced {txt}as {res}byte
{txt}(52 missing values generated)
{res}{txt}
{com}.         lab def mostinf_servdel 1 "Elected much more influential" 2 "Elected slightly more influential" 3 "About the same" 4 "Appointed slightly more influential" 5 "Appointed much more influential"
{txt}
{com}.         lab val mostinf_servdel mostinf_servdel
{txt}
{com}.         
.         fre mostinf_servdel
{res}
{txt}mostinf_servdel {hline 2} More influential in determining quality of service
{txt}{hline 41}{hline 1}{c TT}{hline 44}
{txt}        {txt}                                  {c |}      Freq.    Percent      Valid       Cum.
{txt}{hline 41}{hline 1}{c +}{hline 44}
{txt}Valid   1 Elected much more influential   {c |}{res}          5       8.20      55.56      55.56
{txt}        3 About the same                  {c |}{res}          1       1.64      11.11      66.67
{txt}        5 Appointed much more influential {c |}{res}          3       4.92      33.33     100.00
{txt}        Total                             {c |}{res}          9      14.75     100.00           
{txt}Missing .                                 {c |}{res}         52      85.25                      
{txt}Total                                     {c |}{res}         61     100.00                      
{txt}{hline 41}{hline 1}{c BT}{hline 44}

{com}.         
.         gen test_mostinf_servdel = (mostinf_servdel != .)
{txt}
{com}.         replace test_mostinf_servdel = . if asked_survey == 0 
{txt}(37 real changes made, 37 to missing)

{com}.         replace test_mostinf_servdel = . if (inlist(aptpol_d,0,-98) | elecpol_ovrsee == 0)
{txt}(15 real changes made, 15 to missing)

{com}.         fre test_mostinf_servdel
{res}
{txt}test_mostinf_servdel
{txt}{hline 9}{hline 1}{c TT}{hline 44}
{txt}        {txt}  {c |}      Freq.    Percent      Valid       Cum.
{txt}{hline 9}{hline 1}{c +}{hline 44}
{txt}Valid   1 {c |}{res}          9      14.75     100.00     100.00
{txt}Missing . {c |}{res}         52      85.25                      
{txt}Total     {c |}{res}         61     100.00                      
{txt}{hline 9}{hline 1}{c BT}{hline 44}

{com}.         assert inlist(test_mostinf_servdel,.,1)
{txt}
{com}.         
.         drop test_mostinf_servdel
{txt}
{com}.         
.         * educ_elecpolbur
.         
.         lab var educ_elecpolbur "More educated bureaucrat or politician (elec. politician)"
{txt}
{com}.         
.         fre educ_elecpolbur
{res}
{txt}educ_elecpolbur {hline 2} More educated bureaucrat or politician (elec. politician)
{txt}{hline 55}{hline 1}{c TT}{hline 44}
{txt}        {txt}                                                {c |}      Freq.    Percent      Valid       Cum.
{txt}{hline 55}{hline 1}{c +}{hline 44}
{txt}Valid   About the same level of education               {c |}{res}          4       6.56      17.39      17.39
{txt}        Bureaucrats much more educated than Politicians {c |}{res}         13      21.31      56.52      73.91
{txt}        Bureaucrats slightly more educated than         {c |}{res}          6       9.84      26.09     100.00
{txt}        Politicians                                     {c |}{res}                                            
{txt}        Total                                           {c |}{res}         23      37.70     100.00           
{txt}Missing                                                 {c |}{res}         38      62.30                      
{txt}Total                                                   {c |}{res}         61     100.00                      
{txt}{hline 55}{hline 1}{c BT}{hline 44}

{com}.         
.         replace educ_elecpolbur = "1" if regexm(educ_elecpolbur,"Bureaucrats much more educated")
{txt}(13 real changes made)

{com}.         replace educ_elecpolbur = "2" if regexm(educ_elecpolbur,"Bureaucrats slightly more educated")
{txt}(6 real changes made)

{com}.         replace educ_elecpolbur = "3" if regexm(educ_elecpolbur,"About the same")
{txt}(4 real changes made)

{com}.         replace educ_elecpolbur = "4" if regexm(educ_elecpolbur,"Politicians slightly more educated")
{txt}(0 real changes made)

{com}.         replace educ_elecpolbur = "5" if regexm(educ_elecpolbur,"Politicians much more educated")
{txt}(0 real changes made)

{com}.         destring educ_elecpolbur, replace
{txt}educ_elecpolbur: all characters numeric; {res}replaced {txt}as {res}byte
{txt}(38 missing values generated)
{res}{txt}
{com}.         lab def educ_elecpolbur 1 "Bureaucrats much more educated" 2 "Bureaucrats slightly more educated" 3 "About the same" 4 "Politicians slightly more educated" 5 "Politicians much more educated"
{txt}
{com}.         lab val educ_elecpolbur educ_elecpolbur
{txt}
{com}.         
.         fre educ_elecpolbur
{res}
{txt}educ_elecpolbur {hline 2} More educated bureaucrat or politician (elec. politician)
{txt}{hline 44}{hline 1}{c TT}{hline 44}
{txt}        {txt}                                     {c |}      Freq.    Percent      Valid       Cum.
{txt}{hline 44}{hline 1}{c +}{hline 44}
{txt}Valid   1 Bureaucrats much more educated     {c |}{res}         13      21.31      56.52      56.52
{txt}        2 Bureaucrats slightly more educated {c |}{res}          6       9.84      26.09      82.61
{txt}        3 About the same                     {c |}{res}          4       6.56      17.39     100.00
{txt}        Total                                {c |}{res}         23      37.70     100.00           
{txt}Missing .                                    {c |}{res}         38      62.30                      
{txt}Total                                        {c |}{res}         61     100.00                      
{txt}{hline 44}{hline 1}{c BT}{hline 44}

{com}.         
.         gen test_educ_elecpolbur = (educ_elecpolbur != .)
{txt}
{com}.         replace test_educ_elecpolbur = . if asked_survey == 0 
{txt}(37 real changes made, 37 to missing)

{com}.         replace test_educ_elecpolbur = . if elecpol_ovrsee == 0
{txt}(1 real change made, 1 to missing)

{com}.         fre test_educ_elecpolbur
{res}
{txt}test_educ_elecpolbur
{txt}{hline 9}{hline 1}{c TT}{hline 44}
{txt}        {txt}  {c |}      Freq.    Percent      Valid       Cum.
{txt}{hline 9}{hline 1}{c +}{hline 44}
{txt}Valid   1 {c |}{res}         23      37.70     100.00     100.00
{txt}Missing . {c |}{res}         38      62.30                      
{txt}Total     {c |}{res}         61     100.00                      
{txt}{hline 9}{hline 1}{c BT}{hline 44}

{com}.         assert inlist(test_educ_elecpolbur,.,1)
{txt}
{com}.         
.         drop test_educ_elecpolbur
{txt}
{com}.         
.         * educ_apolbur
.         
.         lab var educ_apolbur "More educated bureaucrat or politician (app. politician) "
{txt}
{com}.         
.         fre educ_apolbur
{res}
{txt}educ_apolbur {hline 2} More educated bureaucrat or politician (app. politician) 
{txt}{hline 8}{hline 1}{c TT}{hline 44}
{txt}        {txt} {c |}      Freq.    Percent      Valid       Cum.
{txt}{hline 8}{hline 1}{c +}{hline 44}
{txt}Missing  {c |}{res}         61     100.00                      
{txt}{hline 8}{hline 1}{c BT}{hline 44}

{com}.         
.         replace educ_apolbur = "1" if regexm(educ_apolbur,"Bureaucrats much more educated")
{txt}(0 real changes made)

{com}.         replace educ_apolbur = "2" if regexm(educ_apolbur,"Bureaucrats slightly more educated")
{txt}(0 real changes made)

{com}.         replace educ_apolbur = "3" if regexm(educ_apolbur,"About the same")
{txt}(0 real changes made)

{com}.         replace educ_apolbur = "4" if regexm(educ_apolbur,"Politicians slightly more educated")
{txt}(0 real changes made)

{com}.         replace educ_apolbur = "5" if regexm(educ_apolbur,"Politicians much more educated")
{txt}(0 real changes made)

{com}.         destring educ_apolbur, replace
{txt}educ_apolbur: all characters numeric; {res}replaced {txt}as {res}byte
{txt}(61 missing values generated)
{res}{txt}
{com}.         lab def educ_apolbur 1 "Bureaucrats much more educated" 2 "Bureaucrats slightly more educated" 3 "About the same" 4 "Politicians slightly more educated" 5 "Politicians much more educated"
{txt}
{com}.         lab val educ_apolbur educ_apolbur
{txt}
{com}.         
.         fre educ_apolbur
{res}
{txt}educ_apolbur {hline 2} More educated bureaucrat or politician (app. politician) 
{txt}{hline 13}{hline 1}{c TT}{hline 44}
{txt}        {txt}      {c |}      Freq.    Percent      Valid       Cum.
{txt}{hline 13}{hline 1}{c +}{hline 44}
{txt}Missing .     {c |}{res}         61     100.00                      
{txt}{hline 13}{hline 1}{c BT}{hline 44}

{com}.         
.         gen test_educ_apolbur = (educ_apolbur != .)
{txt}
{com}.         replace test_educ_apolbur = . if asked_survey == 0
{txt}(37 real changes made, 37 to missing)

{com}.         replace test_educ_apolbur = . if aptpol_d == 0
{txt}(14 real changes made, 14 to missing)

{com}.         replace test_educ_apolbur = . if elecpol_ovrsee == 1 
{txt}(10 real changes made, 10 to missing)

{com}.         fre test_educ_apolbur
{res}
{txt}test_educ_apolbur
{txt}{hline 9}{hline 1}{c TT}{hline 44}
{txt}        {txt}  {c |}      Freq.    Percent      Valid       Cum.
{txt}{hline 9}{hline 1}{c +}{hline 44}
{txt}Missing . {c |}{res}         61     100.00                      
{txt}{hline 9}{hline 1}{c BT}{hline 44}

{com}.         assert inlist(test_educ_apolbur,.,1)
{txt}
{com}.         
.         drop test_educ_apolbur
{txt}
{com}.         
.         * slry_elecpolbur
.         
.         lab var slry_elecpolbur "Earning more bureaucrat or politician (elec. politician)"
{txt}
{com}.         
.         fre slry_elecpolbur
{res}
{txt}slry_elecpolbur {hline 2} Earning more bureaucrat or politician (elec. politician)
{txt}{hline 55}{hline 1}{c TT}{hline 44}
{txt}        {txt}                                                {c |}      Freq.    Percent      Valid       Cum.
{txt}{hline 55}{hline 1}{c +}{hline 44}
{txt}Valid   Both earn about the same                        {c |}{res}          4       6.56      17.39      17.39
{txt}        Bureaucrats earn much more than Politicians     {c |}{res}          5       8.20      21.74      39.13
{txt}        Bureaucrats earn slightly more than Politicians {c |}{res}          3       4.92      13.04      52.17
{txt}        Politicians earn much more than Bureaucrats     {c |}{res}          6       9.84      26.09      78.26
{txt}        Politicians earn slightly more than Bureaucrats {c |}{res}          5       8.20      21.74     100.00
{txt}        Total                                           {c |}{res}         23      37.70     100.00           
{txt}Missing                                                 {c |}{res}         38      62.30                      
{txt}Total                                                   {c |}{res}         61     100.00                      
{txt}{hline 55}{hline 1}{c BT}{hline 44}

{com}.         
.         replace slry_elecpolbur = "1" if regexm(slry_elecpolbur,"Bureaucrats earn much")
{txt}(5 real changes made)

{com}.         replace slry_elecpolbur = "2" if regexm(slry_elecpolbur,"Bureaucrats earn slightly")
{txt}(3 real changes made)

{com}.         replace slry_elecpolbur = "3" if regexm(slry_elecpolbur,"Both earn")
{txt}(4 real changes made)

{com}.         replace slry_elecpolbur = "4" if regexm(slry_elecpolbur,"Politicians earn slightly")
{txt}(5 real changes made)

{com}.         replace slry_elecpolbur = "5" if regexm(slry_elecpolbur,"Politicians earn much")
{txt}(6 real changes made)

{com}.         destring slry_elecpolbur, replace
{txt}slry_elecpolbur: all characters numeric; {res}replaced {txt}as {res}byte
{txt}(38 missing values generated)
{res}{txt}
{com}.         lab def slry_elecpolbur 1 "Bureaucrats earn much more" 2 "Bureaucrats earn slightly more" 3 "Both earn the same" 4 "Politicians earn slightly" 5 "Politicians earn much more"
{txt}
{com}.         lab val slry_elecpolbur slry_elecpolbur
{txt}
{com}.         
.         fre slry_elecpolbur
{res}
{txt}slry_elecpolbur {hline 2} Earning more bureaucrat or politician (elec. politician)
{txt}{hline 40}{hline 1}{c TT}{hline 44}
{txt}        {txt}                                 {c |}      Freq.    Percent      Valid       Cum.
{txt}{hline 40}{hline 1}{c +}{hline 44}
{txt}Valid   1 Bureaucrats earn much more     {c |}{res}          5       8.20      21.74      21.74
{txt}        2 Bureaucrats earn slightly more {c |}{res}          3       4.92      13.04      34.78
{txt}        3 Both earn the same             {c |}{res}          4       6.56      17.39      52.17
{txt}        4 Politicians earn slightly      {c |}{res}          5       8.20      21.74      73.91
{txt}        5 Politicians earn much more     {c |}{res}          6       9.84      26.09     100.00
{txt}        Total                            {c |}{res}         23      37.70     100.00           
{txt}Missing .                                {c |}{res}         38      62.30                      
{txt}Total                                    {c |}{res}         61     100.00                      
{txt}{hline 40}{hline 1}{c BT}{hline 44}

{com}.         
.         gen test_slry_elecpolbur = (slry_elecpolbur != .)
{txt}
{com}.         replace test_slry_elecpolbur = . if asked_survey == 0 
{txt}(37 real changes made, 37 to missing)

{com}.         replace test_slry_elecpolbur = . if elecpol_ovrsee == 0
{txt}(1 real change made, 1 to missing)

{com}.         fre test_slry_elecpolbur
{res}
{txt}test_slry_elecpolbur
{txt}{hline 9}{hline 1}{c TT}{hline 44}
{txt}        {txt}  {c |}      Freq.    Percent      Valid       Cum.
{txt}{hline 9}{hline 1}{c +}{hline 44}
{txt}Valid   1 {c |}{res}         23      37.70     100.00     100.00
{txt}Missing . {c |}{res}         38      62.30                      
{txt}Total     {c |}{res}         61     100.00                      
{txt}{hline 9}{hline 1}{c BT}{hline 44}

{com}.         assert inlist(test_slry_elecpolbur,.,1)
{txt}
{com}.         
.         drop test_slry_elecpolbur
{txt}
{com}.         
.         * slry_apolbur
.         
.         lab var slry_apolbur "Earning more bureaucrat or politician (app. politician)"
{txt}
{com}.         
.         fre slry_apolbur
{res}
{txt}slry_apolbur {hline 2} Earning more bureaucrat or politician (app. politician)
{txt}{hline 8}{hline 1}{c TT}{hline 44}
{txt}        {txt} {c |}      Freq.    Percent      Valid       Cum.
{txt}{hline 8}{hline 1}{c +}{hline 44}
{txt}Missing  {c |}{res}         61     100.00                      
{txt}{hline 8}{hline 1}{c BT}{hline 44}

{com}.         
.         replace slry_apolbur = "1" if regexm(slry_apolbur,"Bureaucrats earn much")
{txt}(0 real changes made)

{com}.         replace slry_apolbur = "2" if regexm(slry_apolbur,"Bureaucrats earn slightly")
{txt}(0 real changes made)

{com}.         replace slry_apolbur = "3" if regexm(slry_apolbur,"Both earn")
{txt}(0 real changes made)

{com}.         replace slry_apolbur = "4" if regexm(slry_apolbur,"Politicians earn slightly")
{txt}(0 real changes made)

{com}.         replace slry_apolbur = "5" if regexm(slry_apolbur,"Politicians earn much")
{txt}(0 real changes made)

{com}.         destring slry_apolbur, replace
{txt}slry_apolbur: all characters numeric; {res}replaced {txt}as {res}byte
{txt}(61 missing values generated)
{res}{txt}
{com}.         lab def slry_apolbur 1 "Bureaucrats earn much more" 2 "Bureaucrats earn slightly more" 3 "Both earn the same" 4 "Politicians earn slightly" 5 "Politicians earn much more"
{txt}
{com}.         lab val slry_apolbur slry_apolbur
{txt}
{com}.         
.         fre slry_apolbur
{res}
{txt}slry_apolbur {hline 2} Earning more bureaucrat or politician (app. politician)
{txt}{hline 13}{hline 1}{c TT}{hline 44}
{txt}        {txt}      {c |}      Freq.    Percent      Valid       Cum.
{txt}{hline 13}{hline 1}{c +}{hline 44}
{txt}Missing .     {c |}{res}         61     100.00                      
{txt}{hline 13}{hline 1}{c BT}{hline 44}

{com}.         
.         gen test_slry_apolbur = (slry_apolbur != .)
{txt}
{com}.         replace test_slry_apolbur = . if asked_survey == 0
{txt}(37 real changes made, 37 to missing)

{com}.         replace test_slry_apolbur = . if aptpol_d == 0
{txt}(14 real changes made, 14 to missing)

{com}.         replace test_slry_apolbur = . if elecpol_ovrsee == 1 
{txt}(10 real changes made, 10 to missing)

{com}.         fre test_slry_apolbur
{res}
{txt}test_slry_apolbur
{txt}{hline 9}{hline 1}{c TT}{hline 44}
{txt}        {txt}  {c |}      Freq.    Percent      Valid       Cum.
{txt}{hline 9}{hline 1}{c +}{hline 44}
{txt}Missing . {c |}{res}         61     100.00                      
{txt}{hline 9}{hline 1}{c BT}{hline 44}

{com}.         assert inlist(test_slry_apolbur,.,1)
{txt}
{com}.         
.         drop test_slry_apolbur
{txt}
{com}.         
.         * We merge the payment module
.         
.         merge m:1 responseid using "`payment_module'"
{res}
{txt}{col 5}Result{col 38}# of obs.
{col 5}{hline 41}
{col 5}not matched{col 30}{res}               0
{txt}{col 5}matched{col 30}{res}              61{txt}  (_merge==3)
{col 5}{hline 41}

{com}.         drop _merge
{txt}
{com}.         order donate_d org_donation_id paid_status, after(duration_minutes)
{txt}
{com}.         
.         * fdout_epol_bgt
.         
.         lab var fdout_epol_bgt "Easy to find out about envelop (elec. politician)"
{txt}
{com}.         
.         fre fdout_epol_bgt
{res}
{txt}fdout_epol_bgt {hline 2} Easy to find out about envelop (elec. politician)
{txt}{hline 26}{hline 1}{c TT}{hline 44}
{txt}        {txt}                   {c |}      Freq.    Percent      Valid       Cum.
{txt}{hline 26}{hline 1}{c +}{hline 44}
{txt}Valid   Somewhat difficult {c |}{res}          3       4.92      13.04      13.04
{txt}        Somewhat easy      {c |}{res}          6       9.84      26.09      39.13
{txt}        Very easy          {c |}{res}         14      22.95      60.87     100.00
{txt}        Total              {c |}{res}         23      37.70     100.00           
{txt}Missing                    {c |}{res}         38      62.30                      
{txt}Total                      {c |}{res}         61     100.00                      
{txt}{hline 26}{hline 1}{c BT}{hline 44}

{com}.         
.         replace fdout_epol_bgt = "1" if regexm(fdout_epol_bgt,"Very easy")
{txt}(14 real changes made)

{com}.         replace fdout_epol_bgt = "2" if regexm(fdout_epol_bgt,"Somewhat easy")
{txt}(6 real changes made)

{com}.         replace fdout_epol_bgt = "3" if regexm(fdout_epol_bgt,"Somewhat difficult")
{txt}(3 real changes made)

{com}.         replace fdout_epol_bgt = "4" if regexm(fdout_epol_bgt,"Very difficult")
{txt}(0 real changes made)

{com}.         replace fdout_epol_bgt = "5" if regexm(fdout_epol_bgt,"Not applicable")
{txt}(0 real changes made)

{com}.         replace fdout_epol_bgt = "6" if regexm(fdout_epol_bgt,"Do not know")
{txt}(0 real changes made)

{com}.         
.         destring fdout_epol_bgt, replace
{txt}fdout_epol_bgt: all characters numeric; {res}replaced {txt}as {res}byte
{txt}(38 missing values generated)
{res}{txt}
{com}.         lab def fdout_epol_bgt 1 "Very easy" 2 "Somewhat easy" 3 "Somewhat difficult" 4 "Very difficult" 5 "Not applicable, this level of government has no spending power" 6 "Do not know / Refuse to answer"
{txt}
{com}.         lab val fdout_epol_bgt fdout_epol_bgt
{txt}
{com}.         
.         fre fdout_epol_bgt
{res}
{txt}fdout_epol_bgt {hline 2} Easy to find out about envelop (elec. politician)
{txt}{hline 28}{hline 1}{c TT}{hline 44}
{txt}        {txt}                     {c |}      Freq.    Percent      Valid       Cum.
{txt}{hline 28}{hline 1}{c +}{hline 44}
{txt}Valid   1 Very easy          {c |}{res}         14      22.95      60.87      60.87
{txt}        2 Somewhat easy      {c |}{res}          6       9.84      26.09      86.96
{txt}        3 Somewhat difficult {c |}{res}          3       4.92      13.04     100.00
{txt}        Total                {c |}{res}         23      37.70     100.00           
{txt}Missing .                    {c |}{res}         38      62.30                      
{txt}Total                        {c |}{res}         61     100.00                      
{txt}{hline 28}{hline 1}{c BT}{hline 44}

{com}.         
.         gen test_fdout_epol_bgt = (fdout_epol_bgt != .)
{txt}
{com}.         replace test_fdout_epol_bgt = . if asked_survey == 0 
{txt}(37 real changes made, 37 to missing)

{com}.         replace test_fdout_epol_bgt = . if elecpol_ovrsee == 0
{txt}(1 real change made, 1 to missing)

{com}.         fre test_fdout_epol_bgt
{res}
{txt}test_fdout_epol_bgt
{txt}{hline 9}{hline 1}{c TT}{hline 44}
{txt}        {txt}  {c |}      Freq.    Percent      Valid       Cum.
{txt}{hline 9}{hline 1}{c +}{hline 44}
{txt}Valid   1 {c |}{res}         23      37.70     100.00     100.00
{txt}Missing . {c |}{res}         38      62.30                      
{txt}Total     {c |}{res}         61     100.00                      
{txt}{hline 9}{hline 1}{c BT}{hline 44}

{com}.         assert inlist(test_fdout_epol_bgt,.,1)
{txt}
{com}.         
.         drop test_fdout_epol_bgt
{txt}
{com}.         
.         * fdout_apol_bgt
.         
.         lab var fdout_apol_bgt "Easy to find out about envelop (app. politician)"
{txt}
{com}.         
.         fre fdout_apol_bgt
{res}
{txt}fdout_apol_bgt {hline 2} Easy to find out about envelop (app. politician)
{txt}{hline 8}{hline 1}{c TT}{hline 44}
{txt}        {txt} {c |}      Freq.    Percent      Valid       Cum.
{txt}{hline 8}{hline 1}{c +}{hline 44}
{txt}Missing  {c |}{res}         61     100.00                      
{txt}{hline 8}{hline 1}{c BT}{hline 44}

{com}.         
.         replace fdout_apol_bgt = "1" if regexm(fdout_apol_bgt,"Very easy")
{txt}(0 real changes made)

{com}.         replace fdout_apol_bgt = "2" if regexm(fdout_apol_bgt,"Somewhat easy")
{txt}(0 real changes made)

{com}.         replace fdout_apol_bgt = "3" if regexm(fdout_apol_bgt,"Somewhat difficult")
{txt}(0 real changes made)

{com}.         replace fdout_apol_bgt = "4" if regexm(fdout_apol_bgt,"Very difficult")
{txt}(0 real changes made)

{com}.         replace fdout_apol_bgt = "5" if regexm(fdout_apol_bgt,"Not applicable")
{txt}(0 real changes made)

{com}.         replace fdout_apol_bgt = "6" if regexm(fdout_apol_bgt,"Do not know")
{txt}(0 real changes made)

{com}.         
.         destring fdout_apol_bgt, replace
{txt}fdout_apol_bgt: all characters numeric; {res}replaced {txt}as {res}byte
{txt}(61 missing values generated)
{res}{txt}
{com}.         lab def fdout_apol_bgt 1 "Very easy" 2 "Somewhat easy" 3 "Somewhat difficult" 4 "Very difficult" 5 "Not applicable, this level of government has no spending power" 6 "Do not know / Refuse to answer"
{txt}
{com}.         lab val fdout_apol_bgt fdout_apol_bgt
{txt}
{com}.         
.         fre fdout_apol_bgt
{res}
{txt}fdout_apol_bgt {hline 2} Easy to find out about envelop (app. politician)
{txt}{hline 13}{hline 1}{c TT}{hline 44}
{txt}        {txt}      {c |}      Freq.    Percent      Valid       Cum.
{txt}{hline 13}{hline 1}{c +}{hline 44}
{txt}Missing .     {c |}{res}         61     100.00                      
{txt}{hline 13}{hline 1}{c BT}{hline 44}

{com}.         
.         gen test_fdout_apol_bgt = (fdout_apol_bgt != .)
{txt}
{com}.         replace test_fdout_apol_bgt = . if asked_survey == 0
{txt}(37 real changes made, 37 to missing)

{com}.         replace test_fdout_apol_bgt = . if aptpol_d == 0
{txt}(14 real changes made, 14 to missing)

{com}.         replace test_fdout_apol_bgt = . if elecpol_ovrsee == 1 
{txt}(10 real changes made, 10 to missing)

{com}.         fre test_fdout_apol_bgt
{res}
{txt}test_fdout_apol_bgt
{txt}{hline 9}{hline 1}{c TT}{hline 44}
{txt}        {txt}  {c |}      Freq.    Percent      Valid       Cum.
{txt}{hline 9}{hline 1}{c +}{hline 44}
{txt}Missing . {c |}{res}         61     100.00                      
{txt}{hline 9}{hline 1}{c BT}{hline 44}

{com}.         assert inlist(test_fdout_apol_bgt,.,1)
{txt}
{com}.         
.         drop test_fdout_apol_bgt
{txt}
{com}.         
.         * budsect_epol
.         
.         lab var budsect_epol "Find about budget allocation to sectors (elec. politician)"
{txt}
{com}.         
.         fre budsect_epol
{res}
{txt}budsect_epol {hline 2} Find about budget allocation to sectors (elec. politician)
{txt}{hline 26}{hline 1}{c TT}{hline 44}
{txt}        {txt}                   {c |}      Freq.    Percent      Valid       Cum.
{txt}{hline 26}{hline 1}{c +}{hline 44}
{txt}Valid   Somewhat difficult {c |}{res}          2       3.28       8.70       8.70
{txt}        Somewhat easy      {c |}{res}          4       6.56      17.39      26.09
{txt}        Very difficult     {c |}{res}          1       1.64       4.35      30.43
{txt}        Very easy          {c |}{res}          9      14.75      39.13      69.57
{txt}        Somewhat easy      {c |}{res}          1       1.64       4.35      73.91
{txt}        Very easy          {c |}{res}          6       9.84      26.09     100.00
{txt}        Total              {c |}{res}         23      37.70     100.00           
{txt}Missing                    {c |}{res}         38      62.30                      
{txt}Total                      {c |}{res}         61     100.00                      
{txt}{hline 26}{hline 1}{c BT}{hline 44}

{com}.         
.         replace budsect_epol = "1" if regexm(budsect_epol,"Very easy")
{txt}(15 real changes made)

{com}.         replace budsect_epol = "2" if regexm(budsect_epol,"Somewhat easy")
{txt}(5 real changes made)

{com}.         replace budsect_epol = "3" if regexm(budsect_epol,"Somewhat difficult")
{txt}(2 real changes made)

{com}.         replace budsect_epol = "4" if regexm(budsect_epol,"Very difficult")
{txt}(1 real change made)

{com}.         replace budsect_epol = "5" if regexm(budsect_epol,"Not applicable")
{txt}(0 real changes made)

{com}.         replace budsect_epol = "6" if regexm(budsect_epol,"Do not know")
{txt}(0 real changes made)

{com}.         
.         destring budsect_epol, replace
{txt}budsect_epol: all characters numeric; {res}replaced {txt}as {res}byte
{txt}(38 missing values generated)
{res}{txt}
{com}.         lab def budsect_epol 1 "Very easy" 2 "Somewhat easy" 3 "Somewhat difficult" 4 "Very difficult" 5 "Not applicable, this level of government has no spending power" 6 "Do not know / Refuse to answer"
{txt}
{com}.         lab val budsect_epol budsect_epol
{txt}
{com}.         
.         fre budsect_epol
{res}
{txt}budsect_epol {hline 2} Find about budget allocation to sectors (elec. politician)
{txt}{hline 28}{hline 1}{c TT}{hline 44}
{txt}        {txt}                     {c |}      Freq.    Percent      Valid       Cum.
{txt}{hline 28}{hline 1}{c +}{hline 44}
{txt}Valid   1 Very easy          {c |}{res}         15      24.59      65.22      65.22
{txt}        2 Somewhat easy      {c |}{res}          5       8.20      21.74      86.96
{txt}        3 Somewhat difficult {c |}{res}          2       3.28       8.70      95.65
{txt}        4 Very difficult     {c |}{res}          1       1.64       4.35     100.00
{txt}        Total                {c |}{res}         23      37.70     100.00           
{txt}Missing .                    {c |}{res}         38      62.30                      
{txt}Total                        {c |}{res}         61     100.00                      
{txt}{hline 28}{hline 1}{c BT}{hline 44}

{com}.         
.         gen test_budsect_epol = (budsect_epol != .)
{txt}
{com}.         replace test_budsect_epol = . if asked_survey == 0 
{txt}(37 real changes made, 37 to missing)

{com}.         replace test_budsect_epol = . if elecpol_ovrsee == 0
{txt}(1 real change made, 1 to missing)

{com}.         fre test_budsect_epol
{res}
{txt}test_budsect_epol
{txt}{hline 9}{hline 1}{c TT}{hline 44}
{txt}        {txt}  {c |}      Freq.    Percent      Valid       Cum.
{txt}{hline 9}{hline 1}{c +}{hline 44}
{txt}Valid   1 {c |}{res}         23      37.70     100.00     100.00
{txt}Missing . {c |}{res}         38      62.30                      
{txt}Total     {c |}{res}         61     100.00                      
{txt}{hline 9}{hline 1}{c BT}{hline 44}

{com}.         assert inlist(test_budsect_epol,.,1)
{txt}
{com}.         
.         drop test_budsect_epol
{txt}
{com}.         
.         * budsect_apol
.         
.         lab var budsect_apol "Find about budget allocation to sectors (app. politician)"
{txt}
{com}.         
.         fre budsect_apol
{res}
{txt}budsect_apol {hline 2} Find about budget allocation to sectors (app. politician)
{txt}{hline 8}{hline 1}{c TT}{hline 44}
{txt}        {txt} {c |}      Freq.    Percent      Valid       Cum.
{txt}{hline 8}{hline 1}{c +}{hline 44}
{txt}Missing  {c |}{res}         61     100.00                      
{txt}{hline 8}{hline 1}{c BT}{hline 44}

{com}.         
.         replace budsect_apol = "1" if regexm(budsect_apol,"Very easy")
{txt}(0 real changes made)

{com}.         replace budsect_apol = "2" if regexm(budsect_apol,"Somewhat easy")
{txt}(0 real changes made)

{com}.         replace budsect_apol = "3" if regexm(budsect_apol,"Somewhat difficult")
{txt}(0 real changes made)

{com}.         replace budsect_apol = "4" if regexm(budsect_apol,"Very difficult")
{txt}(0 real changes made)

{com}.         replace budsect_apol = "5" if regexm(budsect_apol,"Not applicable")
{txt}(0 real changes made)

{com}.         replace budsect_apol = "6" if regexm(budsect_apol,"Do not know")
{txt}(0 real changes made)

{com}.         
.         destring budsect_apol, replace
{txt}budsect_apol: all characters numeric; {res}replaced {txt}as {res}byte
{txt}(61 missing values generated)
{res}{txt}
{com}.         lab def budsect_apol 1 "Very easy" 2 "Somewhat easy" 3 "Somewhat difficult" 4 "Very difficult" 5 "Not applicable, this level of government has no spending power" 6 "Do not know / Refuse to answer"
{txt}
{com}.         lab val budsect_apol budsect_apol
{txt}
{com}.         
.         fre budsect_apol
{res}
{txt}budsect_apol {hline 2} Find about budget allocation to sectors (app. politician)
{txt}{hline 13}{hline 1}{c TT}{hline 44}
{txt}        {txt}      {c |}      Freq.    Percent      Valid       Cum.
{txt}{hline 13}{hline 1}{c +}{hline 44}
{txt}Missing .     {c |}{res}         61     100.00                      
{txt}{hline 13}{hline 1}{c BT}{hline 44}

{com}.         
.         gen test_budsect_apol = (budsect_apol != .)
{txt}
{com}.         replace test_budsect_apol = . if asked_survey == 0
{txt}(37 real changes made, 37 to missing)

{com}.         replace test_budsect_apol = . if aptpol_d == 0
{txt}(14 real changes made, 14 to missing)

{com}.         replace test_budsect_apol = . if elecpol_ovrsee == 1 
{txt}(10 real changes made, 10 to missing)

{com}.         fre test_budsect_apol
{res}
{txt}test_budsect_apol
{txt}{hline 9}{hline 1}{c TT}{hline 44}
{txt}        {txt}  {c |}      Freq.    Percent      Valid       Cum.
{txt}{hline 9}{hline 1}{c +}{hline 44}
{txt}Missing . {c |}{res}         61     100.00                      
{txt}{hline 9}{hline 1}{c BT}{hline 44}

{com}.         assert inlist(test_budsect_apol,.,1)
{txt}
{com}.         
.         drop test_budsect_apol
{txt}
{com}.         
.         * acinfexp_epol
.         
.         lab var acinfexp_epol "Obtain detailed info about expenditures (elec. politician)"
{txt}
{com}.         
.         fre acinfexp_epol
{res}
{txt}acinfexp_epol {hline 2} Obtain detailed info about expenditures (elec. politician)
{txt}{hline 26}{hline 1}{c TT}{hline 44}
{txt}        {txt}                   {c |}      Freq.    Percent      Valid       Cum.
{txt}{hline 26}{hline 1}{c +}{hline 44}
{txt}Valid   Somewhat difficult {c |}{res}          5       8.20      21.74      21.74
{txt}        Somewhat easy      {c |}{res}          3       4.92      13.04      34.78
{txt}        Very difficult     {c |}{res}          1       1.64       4.35      39.13
{txt}        Very easy          {c |}{res}         14      22.95      60.87     100.00
{txt}        Total              {c |}{res}         23      37.70     100.00           
{txt}Missing                    {c |}{res}         38      62.30                      
{txt}Total                      {c |}{res}         61     100.00                      
{txt}{hline 26}{hline 1}{c BT}{hline 44}

{com}.         
.         replace acinfexp_epol = "1" if regexm(acinfexp_epol,"Very easy")
{txt}(14 real changes made)

{com}.         replace acinfexp_epol = "2" if regexm(acinfexp_epol,"Somewhat easy")
{txt}(3 real changes made)

{com}.         replace acinfexp_epol = "3" if regexm(acinfexp_epol,"Somewhat difficult")
{txt}(5 real changes made)

{com}.         replace acinfexp_epol = "4" if regexm(acinfexp_epol,"Very difficult")
{txt}(1 real change made)

{com}.         replace acinfexp_epol = "5" if regexm(acinfexp_epol,"Not applicable")
{txt}(0 real changes made)

{com}.         replace acinfexp_epol = "6" if regexm(acinfexp_epol,"Do not know")
{txt}(0 real changes made)

{com}.         
.         destring acinfexp_epol, replace
{txt}acinfexp_epol: all characters numeric; {res}replaced {txt}as {res}byte
{txt}(38 missing values generated)
{res}{txt}
{com}.         lab def acinfexp_epol 1 "Very easy" 2 "Somewhat easy" 3 "Somewhat difficult" 4 "Very difficult" 5 "Not applicable, this level of government has no spending power" 6 "Do not know / Refuse to answer"
{txt}
{com}.         lab val acinfexp_epol acinfexp_epol
{txt}
{com}.         
.         fre acinfexp_epol
{res}
{txt}acinfexp_epol {hline 2} Obtain detailed info about expenditures (elec. politician)
{txt}{hline 28}{hline 1}{c TT}{hline 44}
{txt}        {txt}                     {c |}      Freq.    Percent      Valid       Cum.
{txt}{hline 28}{hline 1}{c +}{hline 44}
{txt}Valid   1 Very easy          {c |}{res}         14      22.95      60.87      60.87
{txt}        2 Somewhat easy      {c |}{res}          3       4.92      13.04      73.91
{txt}        3 Somewhat difficult {c |}{res}          5       8.20      21.74      95.65
{txt}        4 Very difficult     {c |}{res}          1       1.64       4.35     100.00
{txt}        Total                {c |}{res}         23      37.70     100.00           
{txt}Missing .                    {c |}{res}         38      62.30                      
{txt}Total                        {c |}{res}         61     100.00                      
{txt}{hline 28}{hline 1}{c BT}{hline 44}

{com}.         
.         gen test_acinfexp_epol = (acinfexp_epol != .)
{txt}
{com}.         replace test_acinfexp_epol = . if asked_survey == 0 
{txt}(37 real changes made, 37 to missing)

{com}.         replace test_acinfexp_epol = . if elecpol_ovrsee == 0
{txt}(1 real change made, 1 to missing)

{com}.         fre test_acinfexp_epol
{res}
{txt}test_acinfexp_epol
{txt}{hline 9}{hline 1}{c TT}{hline 44}
{txt}        {txt}  {c |}      Freq.    Percent      Valid       Cum.
{txt}{hline 9}{hline 1}{c +}{hline 44}
{txt}Valid   1 {c |}{res}         23      37.70     100.00     100.00
{txt}Missing . {c |}{res}         38      62.30                      
{txt}Total     {c |}{res}         61     100.00                      
{txt}{hline 9}{hline 1}{c BT}{hline 44}

{com}.         assert inlist(test_acinfexp_epol,.,1)
{txt}
{com}.         
.         drop test_acinfexp_epol
{txt}
{com}.         
.         * acinfexp_apol
.         
.         lab var acinfexp_apol "Obtain detailed info about expenditures (app. politician)"
{txt}
{com}.         
.         fre acinfexp_apol
{res}
{txt}acinfexp_apol {hline 2} Obtain detailed info about expenditures (app. politician)
{txt}{hline 8}{hline 1}{c TT}{hline 44}
{txt}        {txt} {c |}      Freq.    Percent      Valid       Cum.
{txt}{hline 8}{hline 1}{c +}{hline 44}
{txt}Missing  {c |}{res}         61     100.00                      
{txt}{hline 8}{hline 1}{c BT}{hline 44}

{com}.         
.         replace acinfexp_apol = "1" if regexm(acinfexp_apol,"Very easy")
{txt}(0 real changes made)

{com}.         replace acinfexp_apol = "2" if regexm(acinfexp_apol,"Somewhat easy")
{txt}(0 real changes made)

{com}.         replace acinfexp_apol = "3" if regexm(acinfexp_apol,"Somewhat difficult")
{txt}(0 real changes made)

{com}.         replace acinfexp_apol = "4" if regexm(acinfexp_apol,"Very difficult")
{txt}(0 real changes made)

{com}.         replace acinfexp_apol = "5" if regexm(acinfexp_apol,"Not applicable")
{txt}(0 real changes made)

{com}.         replace acinfexp_apol = "6" if regexm(acinfexp_apol,"Do not know")
{txt}(0 real changes made)

{com}.         
.         destring acinfexp_apol, replace
{txt}acinfexp_apol: all characters numeric; {res}replaced {txt}as {res}byte
{txt}(61 missing values generated)
{res}{txt}
{com}.         lab def acinfexp_apol 1 "Very easy" 2 "Somewhat easy" 3 "Somewhat difficult" 4 "Very difficult" 5 "Not applicable, this level of government has no spending power" 6 "Do not know / Refuse to answer"
{txt}
{com}.         lab val acinfexp_apol acinfexp_apol
{txt}
{com}.         
.         fre acinfexp_apol
{res}
{txt}acinfexp_apol {hline 2} Obtain detailed info about expenditures (app. politician)
{txt}{hline 13}{hline 1}{c TT}{hline 44}
{txt}        {txt}      {c |}      Freq.    Percent      Valid       Cum.
{txt}{hline 13}{hline 1}{c +}{hline 44}
{txt}Missing .     {c |}{res}         61     100.00                      
{txt}{hline 13}{hline 1}{c BT}{hline 44}

{com}.         
.         gen test_acinfexp_apol = (acinfexp_apol != .)
{txt}
{com}.         replace test_acinfexp_apol = . if asked_survey == 0
{txt}(37 real changes made, 37 to missing)

{com}.         replace test_acinfexp_apol = . if aptpol_d == 0
{txt}(14 real changes made, 14 to missing)

{com}.         replace test_acinfexp_apol = . if elecpol_ovrsee == 1 
{txt}(10 real changes made, 10 to missing)

{com}.         fre test_acinfexp_apol
{res}
{txt}test_acinfexp_apol
{txt}{hline 9}{hline 1}{c TT}{hline 44}
{txt}        {txt}  {c |}      Freq.    Percent      Valid       Cum.
{txt}{hline 9}{hline 1}{c +}{hline 44}
{txt}Missing . {c |}{res}         61     100.00                      
{txt}{hline 9}{hline 1}{c BT}{hline 44}

{com}.         assert inlist(test_acinfexp_apol,.,1)
{txt}
{com}.         
.         drop test_acinfexp_apol
{txt}
{com}.         
.         * understand_epol
.         
.         lab var understand_epol "Has capacity to read/understand budget (elec. politician)"
{txt}
{com}.         
.         fre understand_epol
{res}
{txt}understand_epol {hline 2} Has capacity to read/understand budget (elec. politician)
{txt}{hline 28}{hline 1}{c TT}{hline 44}
{txt}        {txt}                     {c |}      Freq.    Percent      Valid       Cum.
{txt}{hline 28}{hline 1}{c +}{hline 44}
{txt}Valid   Definitely capable   {c |}{res}          1       1.64       5.26       5.26
{txt}        Only with difficulty {c |}{res}          2       3.28      10.53      15.79
{txt}        Somewhat capable     {c |}{res}          9      14.75      47.37      63.16
{txt}        Definitely capable   {c |}{res}          2       3.28      10.53      73.68
{txt}        Only with difficulty {c |}{res}          1       1.64       5.26      78.95
{txt}        Somewhat capable     {c |}{res}          4       6.56      21.05     100.00
{txt}        Total                {c |}{res}         19      31.15     100.00           
{txt}Missing                      {c |}{res}         42      68.85                      
{txt}Total                        {c |}{res}         61     100.00                      
{txt}{hline 28}{hline 1}{c BT}{hline 44}

{com}.         
.         replace understand_epol = "1" if regexm(understand_epol,"Definitely capable")
{txt}(3 real changes made)

{com}.         replace understand_epol = "2" if regexm(understand_epol,"Somewhat capable")
{txt}(13 real changes made)

{com}.         replace understand_epol = "3" if regexm(understand_epol,"Only with difficulty")
{txt}(3 real changes made)

{com}.         replace understand_epol = "4" if regexm(understand_epol,"Not capable")
{txt}(0 real changes made)

{com}.         replace understand_epol = "5" if regexm(understand_epol,"Do not know")
{txt}(0 real changes made)

{com}.         
.         fre understand_epol
{res}
{txt}understand_epol {hline 2} Has capacity to read/understand budget (elec. politician)
{txt}{hline 13}{hline 1}{c TT}{hline 44}
{txt}        {txt}      {c |}      Freq.    Percent      Valid       Cum.
{txt}{hline 13}{hline 1}{c +}{hline 44}
{txt}Valid   1     {c |}{res}          3       4.92      15.79      15.79
{txt}        2     {c |}{res}         13      21.31      68.42      84.21
{txt}        3     {c |}{res}          3       4.92      15.79     100.00
{txt}        Total {c |}{res}         19      31.15     100.00           
{txt}Missing       {c |}{res}         42      68.85                      
{txt}Total         {c |}{res}         61     100.00                      
{txt}{hline 13}{hline 1}{c BT}{hline 44}

{com}.         e

{txt}end of do-file


{com}. do "/var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//SD44938.000000"
{txt}
{com}.         destring understand_epol, replace
{txt}understand_epol: all characters numeric; {res}replaced {txt}as {res}byte
{txt}(42 missing values generated)
{res}{txt}
{com}.         lab def understand_epol 1 "Definitely capable" 2 "Somewhat capable" 3 "Only with difficulty" 4 "Not capable" 5 "Do not know / Refuse to answer"
{txt}
{com}.         lab val understand_epol understand_epol
{txt}
{com}.         
.         fre understand_epol
{res}
{txt}understand_epol {hline 2} Has capacity to read/understand budget (elec. politician)
{txt}{hline 30}{hline 1}{c TT}{hline 44}
{txt}        {txt}                       {c |}      Freq.    Percent      Valid       Cum.
{txt}{hline 30}{hline 1}{c +}{hline 44}
{txt}Valid   1 Definitely capable   {c |}{res}          3       4.92      15.79      15.79
{txt}        2 Somewhat capable     {c |}{res}         13      21.31      68.42      84.21
{txt}        3 Only with difficulty {c |}{res}          3       4.92      15.79     100.00
{txt}        Total                  {c |}{res}         19      31.15     100.00           
{txt}Missing .                      {c |}{res}         42      68.85                      
{txt}Total                          {c |}{res}         61     100.00                      
{txt}{hline 30}{hline 1}{c BT}{hline 44}

{com}.         
. 
{txt}end of do-file

{com}. do "/var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//SD44938.000000"
{txt}
{com}.         gen test_understand_epol = (understand_epol != .)
{txt}
{com}.         replace test_understand_epol = . if asked_survey == 0 
{txt}(37 real changes made, 37 to missing)

{com}.         replace test_understand_epol = . if elecpol_ovrsee == 0
{txt}(1 real change made, 1 to missing)

{com}.         fre test_understand_epol
{res}
{txt}test_understand_epol
{txt}{hline 13}{hline 1}{c TT}{hline 44}
{txt}        {txt}      {c |}      Freq.    Percent      Valid       Cum.
{txt}{hline 13}{hline 1}{c +}{hline 44}
{txt}Valid   0     {c |}{res}          4       6.56      17.39      17.39
{txt}        1     {c |}{res}         19      31.15      82.61     100.00
{txt}        Total {c |}{res}         23      37.70     100.00           
{txt}Missing .     {c |}{res}         38      62.30                      
{txt}Total         {c |}{res}         61     100.00                      
{txt}{hline 13}{hline 1}{c BT}{hline 44}

{com}. 
{txt}end of do-file

{com}. do "/var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//SD44938.000000"
{txt}
{com}. 
.         * Purpose: Importing data to run HFC
.         
.         * Setting up globals
.         
.         if "`c(username)'" == "fredericcochinard" {c -(}
.                 
.                 global import_folder "/Users/fredericcochinard/Dropbox/Expert survey/Data/0.survey_dataset/0.import"
.                 global output "/Users/fredericcochinard/Dropbox/Expert survey/Data/0.survey_dataset/1.output"
.                 
.                 {c )-}
{txt}
{com}.                 
.         if "`c(username)'" == "" {c -(}
.         
.                 
.                 {c )-}
{txt}
{com}.         
.         * Looking for renaming folder with problem
.         
.         local myfiles: dir "$import_folder" files "*.xlsx"
{txt}
{com}. 
.         foreach file of local myfiles {c -(}
{txt}  2{com}.                 
.                 local subfile = substr("`file'", 1, .)
{txt}  3{com}.                 local subfile : subinstr local subfile " " "_", all
{txt}  4{com}.                 ! mv "${c -(}import_folder{c )-}/`file'" "${c -(}import_folder{c )-}/`subfile'"
{txt}  5{com}.                 
.                 {c )-}
{txt}

{com}.         
.         * Looking for dataset
.         
.         filelist , dir("$import_folder") pat("*.xlsx")
{res}{txt}Number of files found = {res}1
{txt}
{com}.         
.         gen url = filename
{txt}
{com}.         
.         levelsof url
{txt}`"Expert_survey_February_18,_2025_16.23.xlsx"'

{com}. 
.         local lvlfiles `r(levels)'
{txt}
{com}.         
.         local z = 0
{txt}
{com}.         
.         foreach lvl of local lvlfiles {c -(}
{txt}  2{com}.         
.                 local z = `z' + 1
{txt}  3{com}.                 
.                 local temp : subinstr local lvl `"""' "", all
{txt}  4{com}.                 local url : subinstr local temp "'" "", all
{txt}  5{com}.         
.                 import excel "${c -(}import_folder{c )-}/`url'", first case(lower) clear
{txt}  6{com}.                 
.                 gen num = _n
{txt}  7{com}.                 drop if num == 1
{txt}  8{com}.                 
.                 * Preparing the append
.                 
.                 tempfile data`z'
{txt}  9{com}.                 sa "`data`z''"
{txt} 10{com}.                 
.                 {c )-}
{res}{txt}(1 observation deleted)
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.000001 saved

{com}.                 
.         * We append the dataset to start cleaning
.         
.         use "`data1'", clear
{txt}
{com}.         
.         forvalues x = 2/`z' {c -(}
{txt}  2{com}.         
.                 append using "`data`x''"
{txt}  3{com}.                 
.                 {c )-}
{txt}
{com}.                 
.         duplicates drop

{p 0 4}{txt}Duplicates in terms of {txt} all variables{p_end}

(0 observations are duplicates)

{com}.         
.         * We keep relevant variable
.         drop if recipientemail == "frederic.cochinard@gmail.com"
{txt}(8 observations deleted)

{com}.         drop if recipientemail == "vedpant+spanish@college.harvard.edu"
{txt}(1 observation deleted)

{com}.         drop if recipientemail == "frederic.cochinard+3@gmail.com"
{txt}(1 observation deleted)

{com}.         drop if recipientemail == "frederic.cochinard+1@gmail.com"
{txt}(1 observation deleted)

{com}.         
.         * We remove observation that are not finished
.         drop if finished == "False"
{txt}(9 observations deleted)

{com}.         
.         * We create a save
.         
.         tempfile save_data
{txt}
{com}.         sa "`save_data'"
{txt}file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.000002 saved

{com}.         
.         ******************
.         * Payment module *
.         ******************
.         
.         preserve
{txt}
{com}.         
.         keep responseid method_pay_bank_in_q-q977
{txt}
{com}.         compress
  {txt}variable {bf}method_pay_bank_in_q{sf} was {bf}{res}str237{sf}{txt} now {bf}{res}str24{sf}
  {txt}variable {bf}expert_donation_org{sf} was {bf}{res}str129{sf}{txt} now {bf}{res}str23{sf}
  {txt}variable {bf}q967{sf} was {bf}{res}str236{sf}{txt} now {bf}{res}str65{sf}
  {txt}variable {bf}q978{sf} was {bf}{res}str326{sf}{txt} now {bf}{res}str16{sf}
  {txt}variable {bf}q979{sf} was {bf}{res}str104{sf}{txt} now {bf}{res}str39{sf}
  {txt}variable {bf}q980{sf} was {bf}{res}str95{sf}{txt} now {bf}{res}str11{sf}
  {txt}variable {bf}q987{sf} was {bf}{res}str170{sf}{txt} now {bf}{res}str24{sf}
  {txt}variable {bf}q984{sf} was {bf}{res}str326{sf}{txt} now {bf}{res}str1{sf}
  {txt}variable {bf}q985{sf} was {bf}{res}str104{sf}{txt} now {bf}{res}str1{sf}
  {txt}variable {bf}q986{sf} was {bf}{res}str95{sf}{txt} now {bf}{res}str1{sf}
  {txt}variable {bf}q988{sf} was {bf}{res}str170{sf}{txt} now {bf}{res}str1{sf}
  {txt}variable {bf}q989{sf} was {bf}{res}str559{sf}{txt} now {bf}{res}str1{sf}
  {txt}variable {bf}q990{sf} was {bf}{res}str102{sf}{txt} now {bf}{res}str1{sf}
  {txt}variable {bf}q991{sf} was {bf}{res}str93{sf}{txt} now {bf}{res}str1{sf}
  {txt}variable {bf}q992{sf} was {bf}{res}str170{sf}{txt} now {bf}{res}str1{sf}
  {txt}variable {bf}q998{sf} was {bf}{res}str537{sf}{txt} now {bf}{res}str1{sf}
  {txt}variable {bf}q997{sf} was {bf}{res}str105{sf}{txt} now {bf}{res}str1{sf}
  {txt}variable {bf}q999{sf} was {bf}{res}str104{sf}{txt} now {bf}{res}str1{sf}
  {txt}variable {bf}q1000{sf} was {bf}{res}str95{sf}{txt} now {bf}{res}str1{sf}
  {txt}variable {bf}q1001{sf} was {bf}{res}str170{sf}{txt} now {bf}{res}str1{sf}
  {txt}variable {bf}q977{sf} was {bf}{res}str502{sf}{txt} now {bf}{res}str23{sf}
{txt}  (46,101 bytes saved)

{com}.         
.         * Donate_d
.         
.         gen donate_d = 0
{txt}
{com}.         replace donate_d = 1 if method_pay_bank_in_q == "I prefer to donate"
{txt}(3 real changes made)

{com}.         
.         * Special case
.         replace donate_d = 1 if responseid == "R_4ouc7tR6BFj3gpb" // respondent is refusing to take money in comments
{txt}(1 real change made)

{com}.         replace donate_d = 1 if responseid == "R_4Iow7YzsoT2KTOx" // respondent is writing cancel in comments
{txt}(1 real change made)

{com}.         
.         lab var donate_d "Respondent decided to donate"
{txt}
{com}.         lab def donate_d 0 "No" 1 "Yes"
{txt}
{com}.         lab val donate_d donate_d
{txt}
{com}.         order donate_d, after(responseid)
{txt}
{com}.         
.         * Org
.         
.         gen org_donation_id = "" 
{txt}(11 missing values generated)

{com}.         replace org_donation_id = expert_donation_org if donate_d == 1
{txt}variable {bf}org_donation_id{sf} was {bf}{res}str1{sf}{txt} now {bf}{res}str23{sf}
{txt}(3 real changes made)

{com}.         replace org_donation_id = "No choice" if donate_d == 1 & org_donation_id == ""
{txt}(2 real changes made)

{com}.         lab var org_donation_id "Name of the organization the respondent chose to donate"
{txt}
{com}.         order org_donation_id, after(donate_d)
{txt}
{com}.         
.         * Paid status
.         
.         gen paid_status = 0
{txt}
{com}.         replace paid_status = 2 if donate_d == 1
{txt}(5 real changes made)

{com}.         
.         * Case of payment
.         
.         lab var paid_status "Status of payment of the respondent"
{txt}
{com}.         lab def paid_status 0 "Not yet" 1 "Yes" 2 "Donation"
{txt}
{com}.         lab val paid_status paid_status
{txt}
{com}.         order paid_status, after(org_donation_id)
{txt}
{com}.         
.         keep responseid donate_d org_donation_id paid_status
{txt}
{com}.         
.         tempfile payment_module
{txt}
{com}.         sa "`payment_module'"
{txt}file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.000004 saved

{com}.         
.         restore
{txt}
{com}.         
.         * Main form of survey 
.         keep country full_name recipientemail responseid progress durationinseconds finished userlanguage num_unit confirmation_* ///
>         title_bur* elecpol_ovrsee* title_elecpol* aptpol_d* title_aptpol* who_aptpol* mostinf_servdel* educ_elecpolbur* ///
>         educ_apolbur* slry_elecpolbur* slry_apolbur* fdout_epol_bgt* fdout_apol_bgt* budsect_epol* budsect_apol* acinfexp_epol* /// 
>         acinfexp_apol* understand_epol* understand_apol* acttake_epol* acttake_epol* acttake_apol* acttake_apol* likely* why_likchan* /// 
>         who_apt_bur* who_apt_bur* who_fir_bur* who_fir_bur* ocap_epol* ocap_apol* prio_epol* prio_apol* overall_conf* avg_educ_epol* ///
>         avg_educ_apol* avg_educ_buro* avg_slry_epol* avg_slry_apol* avg_slry_buro* //
{txt}
{com}.         
.         destring durationinseconds progress, replace
{txt}durationinseconds: all characters numeric; {res}replaced {txt}as {res}int
{txt}progress: all characters numeric; {res}replaced {txt}as {res}byte
{txt}
{com}.         replace durationinseconds = round(durationinseconds/60)
{txt}(11 real changes made)

{com}.         ren durationinseconds duration_minutes
{res}{txt}
{com}. 
.         *--
.         
.         local id country full_name recipientemail responseid userlanguage num_unit finished progress duration_minutes
{txt}
{com}.         
.         order `id', first
{txt}
{com}.         duplicates drop `id', force

{p 0 4}{txt}Duplicates in terms of {res} country full_name recipientemail responseid userlanguage num_unit finished progress duration_minutes{p_end}

{txt}(0 observations are duplicates)

{com}.         
.         * Renaming others
.         
.         forvalues x = 1/3 {c -(}
{txt}  2{com}.                 
.                 forvalues y = 1/6 {c -(} 
{txt}  3{com}.                 
.                         cap ren who_apt_bur_`x'_`y'_8_text who_apt_buroth_`x'_`y'
{txt}  4{com}.                         cap ren who_fir_bur_`x'_`y'_8_text who_fir_buroth_`x'_`y'
{txt}  5{com}.                         cap ren acttake_epol_`x'_`y'_9_text acttake_epoloth_`x'_`y'
{txt}  6{com}.                         cap ren acttake_apol_`x'_`y'_9_text acttake_apoloth_`x'_`y'
{txt}  7{com}.                         
.                         {c )-}
{txt}  8{com}.                         
.                 {c )-}
{txt}
{com}.         
.         #delimit ;
{txt}delimiter now ;
{com}.         local var confirmation
>         title_bur 
>         elecpol_ovrsee
>         title_elecpol
>         aptpol_d
>         title_aptpol
>         who_aptpol
>         mostinf_servdel
>         educ_elecpolbur
>         educ_apolbur
>         slry_elecpolbur
>         slry_apolbur
>         fdout_epol_bgt
>         fdout_apol_bgt
>         budsect_epol
>         budsect_apol
>         acinfexp_epol
>         acinfexp_apol
>         understand_epol
>         understand_apol
>         acttake_epol
>         acttake_epoloth
>         acttake_apol
>         acttake_apoloth
>         likely
>         why_likchan
>         who_apt_bur
>         who_apt_buroth
>         who_fir_bur
>         who_fir_buroth
>         ocap_epol
>         ocap_apol
>         prio_epol
>         prio_apol
>         overall_conf
>         avg_educ_epol
>         avg_educ_apol
>         avg_educ_buro
>         avg_slry_epol
>         avg_slry_apol
>         avg_slry_buro
>         
>         ;
{txt}
{com}.                 #delimit cr
{txt}delimiter now cr
{com}. 
.         reshape long `var', i(`id') j(pos) s
{txt}(note: j = _1_1 _1_4 _1_5 _1_6 _2_1 _2_2 _2_4 _2_5 _2_6 _3_1 _3_2 _3_3 _3_4 _3_5 _3_6)
(note: confirmation_1_4 not found)
(note: confirmation_1_5 not found)
(note: confirmation_1_6 not found)
(note: confirmation_2_4 not found)
(note: confirmation_2_5 not found)
(note: confirmation_2_6 not found)
(note: confirmation_3_4 not found)
(note: confirmation_3_5 not found)
(note: confirmation_3_6 not found)

Data{col 36}wide{col 43}->{col 48}long
{hline 77}
Number of obs.                 {res}      11   {txt}->{res}     165
{txt}Number of variables            {res}     615   {txt}->{res}      51
{txt}j variable (15 values)                    ->   {res}pos
{txt}xij variables:
{res}confirmation_1_1 confirmation_1_4 ... confirmation_3_6{txt}->{res}confirmation
title_bur_1_1 title_bur_1_4 ... title_bur_3_6{txt}->{res}title_bur
elecpol_ovrsee_1_1 elecpol_ovrsee_1_4 ... elecpol_ovrsee_3_6{txt}->{res}elecpol_ovrsee
title_elecpol_1_1 title_elecpol_1_4 ... title_elecpol_3_6{txt}->{res}title_elecpol
aptpol_d_1_1 aptpol_d_1_4 ... aptpol_d_3_6{txt}->   {res}aptpol_d
title_aptpol_1_1 title_aptpol_1_4 ... title_aptpol_3_6{txt}->{res}title_aptpol
who_aptpol_1_1 who_aptpol_1_4 ... who_aptpol_3_6{txt}->{res}who_aptpol
mostinf_servdel_1_1 mostinf_servdel_1_4 ... mostinf_servdel_3_6{txt}->{res}mostinf_servdel
educ_elecpolbur_1_1 educ_elecpolbur_1_4 ... educ_elecpolbur_3_6{txt}->{res}educ_elecpolbur
educ_apolbur_1_1 educ_apolbur_1_4 ... educ_apolbur_3_6{txt}->{res}educ_apolbur
slry_elecpolbur_1_1 slry_elecpolbur_1_4 ... slry_elecpolbur_3_6{txt}->{res}slry_elecpolbur
slry_apolbur_1_1 slry_apolbur_1_4 ... slry_apolbur_3_6{txt}->{res}slry_apolbur
fdout_epol_bgt_1_1 fdout_epol_bgt_1_4 ... fdout_epol_bgt_3_6{txt}->{res}fdout_epol_bgt
fdout_apol_bgt_1_1 fdout_apol_bgt_1_4 ... fdout_apol_bgt_3_6{txt}->{res}fdout_apol_bgt
budsect_epol_1_1 budsect_epol_1_4 ... budsect_epol_3_6{txt}->{res}budsect_epol
budsect_apol_1_1 budsect_apol_1_4 ... budsect_apol_3_6{txt}->{res}budsect_apol
acinfexp_epol_1_1 acinfexp_epol_1_4 ... acinfexp_epol_3_6{txt}->{res}acinfexp_epol
acinfexp_apol_1_1 acinfexp_apol_1_4 ... acinfexp_apol_3_6{txt}->{res}acinfexp_apol
understand_epol_1_1 understand_epol_1_4 ... understand_epol_3_6{txt}->{res}understand_epol
understand_apol_1_1 understand_apol_1_4 ... understand_apol_3_6{txt}->{res}understand_apol
acttake_epol_1_1 acttake_epol_1_4 ... acttake_epol_3_6{txt}->{res}acttake_epol
acttake_epoloth_1_1 acttake_epoloth_1_4 ... acttake_epoloth_3_6{txt}->{res}acttake_epoloth
acttake_apol_1_1 acttake_apol_1_4 ... acttake_apol_3_6{txt}->{res}acttake_apol
acttake_apoloth_1_1 acttake_apoloth_1_4 ... acttake_apoloth_3_6{txt}->{res}acttake_apoloth
   likely_1_1 likely_1_4 ... likely_3_6   {txt}->   {res}likely
why_likchan_1_1 why_likchan_1_4 ... why_likchan_3_6{txt}->{res}why_likchan
who_apt_bur_1_1 who_apt_bur_1_4 ... who_apt_bur_3_6{txt}->{res}who_apt_bur
who_apt_buroth_1_1 who_apt_buroth_1_4 ... who_apt_buroth_3_6{txt}->{res}who_apt_buroth
who_fir_bur_1_1 who_fir_bur_1_4 ... who_fir_bur_3_6{txt}->{res}who_fir_bur
who_fir_buroth_1_1 who_fir_buroth_1_4 ... who_fir_buroth_3_6{txt}->{res}who_fir_buroth
ocap_epol_1_1 ocap_epol_1_4 ... ocap_epol_3_6{txt}->{res}ocap_epol
ocap_apol_1_1 ocap_apol_1_4 ... ocap_apol_3_6{txt}->{res}ocap_apol
prio_epol_1_1 prio_epol_1_4 ... prio_epol_3_6{txt}->{res}prio_epol
prio_apol_1_1 prio_apol_1_4 ... prio_apol_3_6{txt}->{res}prio_apol
overall_conf_1_1 overall_conf_1_4 ... overall_conf_3_6{txt}->{res}overall_conf
avg_educ_epol_1_1 avg_educ_epol_1_4 ... avg_educ_epol_3_6{txt}->{res}avg_educ_epol
avg_educ_apol_1_1 avg_educ_apol_1_4 ... avg_educ_apol_3_6{txt}->{res}avg_educ_apol
avg_educ_buro_1_1 avg_educ_buro_1_4 ... avg_educ_buro_3_6{txt}->{res}avg_educ_buro
avg_slry_epol_1_1 avg_slry_epol_1_4 ... avg_slry_epol_3_6{txt}->{res}avg_slry_epol
avg_slry_apol_1_1 avg_slry_apol_1_4 ... avg_slry_apol_3_6{txt}->{res}avg_slry_apol
avg_slry_buro_1_1 avg_slry_buro_1_4 ... avg_slry_buro_3_6{txt}->{res}avg_slry_buro
{txt}{hline 77}

{com}.         
.         * Filter data
.         
.         split pos, p("_")
{res}variables created as string: 
{txt}{col 1}pos1{col 7}pos2{col 13}pos3

{com}.         
.         drop pos1
{txt}
{com}.         ren pos2 case_n_unit
{res}{txt}
{com}.         ren pos3 unit_num
{res}{txt}
{com}.         destring case_n_unit unit_num, replace
{txt}case_n_unit: all characters numeric; {res}replaced {txt}as {res}byte
{txt}unit_num: all characters numeric; {res}replaced {txt}as {res}byte
{txt}
{com}.         order case_n_unit unit_num, after(duration_minutes)
{txt}
{com}.         drop pos
{txt}
{com}.         
.         destring num_unit, replace
{txt}num_unit: all characters numeric; {res}replaced {txt}as {res}byte
{txt}
{com}.         drop if num_unit != case_n_unit
{txt}(104 observations deleted)

{com}.         drop num_unit
{txt}
{com}.         
.         compress
  {txt}variable {bf}country{sf} was {bf}{res}str15{sf}{txt} now {bf}{res}str11{sf}
  {txt}variable {bf}full_name{sf} was {bf}{res}str28{sf}{txt} now {bf}{res}str23{sf}
  {txt}variable {bf}recipientemail{sf} was {bf}{res}str35{sf}{txt} now {bf}{res}str32{sf}
  {txt}variable {bf}userlanguage{sf} was {bf}{res}str13{sf}{txt} now {bf}{res}str2{sf}
  {txt}variable {bf}finished{sf} was {bf}{res}str8{sf}{txt} now {bf}{res}str4{sf}
  {txt}variable {bf}title_bur{sf} was {bf}{res}str448{sf}{txt} now {bf}{res}str235{sf}
  {txt}variable {bf}elecpol_ovrsee{sf} was {bf}{res}str352{sf}{txt} now {bf}{res}str3{sf}
  {txt}variable {bf}title_elecpol{sf} was {bf}{res}str312{sf}{txt} now {bf}{res}str288{sf}
  {txt}variable {bf}aptpol_d{sf} was {bf}{res}str332{sf}{txt} now {bf}{res}str30{sf}
  {txt}variable {bf}who_aptpol{sf} was {bf}{res}str96{sf}{txt} now {bf}{res}str84{sf}
  {txt}variable {bf}mostinf_servdel{sf} was {bf}{res}str256{sf}{txt} now {bf}{res}str44{sf}
  {txt}variable {bf}educ_elecpolbur{sf} was {bf}{res}str258{sf}{txt} now {bf}{res}str51{sf}
  {txt}variable {bf}educ_apolbur{sf} was {bf}{res}str260{sf}{txt} now {bf}{res}str1{sf}
  {txt}variable {bf}slry_elecpolbur{sf} was {bf}{res}str316{sf}{txt} now {bf}{res}str47{sf}
  {txt}variable {bf}slry_apolbur{sf} was {bf}{res}str318{sf}{txt} now {bf}{res}str1{sf}
  {txt}variable {bf}fdout_epol_bgt{sf} was {bf}{res}str373{sf}{txt} now {bf}{res}str19{sf}
  {txt}variable {bf}fdout_apol_bgt{sf} was {bf}{res}str375{sf}{txt} now {bf}{res}str1{sf}
  {txt}variable {bf}budsect_epol{sf} was {bf}{res}str217{sf}{txt} now {bf}{res}str19{sf}
  {txt}variable {bf}budsect_apol{sf} was {bf}{res}str219{sf}{txt} now {bf}{res}str1{sf}
  {txt}variable {bf}acinfexp_epol{sf} was {bf}{res}str216{sf}{txt} now {bf}{res}str19{sf}
  {txt}variable {bf}acinfexp_apol{sf} was {bf}{res}str218{sf}{txt} now {bf}{res}str1{sf}
  {txt}variable {bf}understand_epol{sf} was {bf}{res}str214{sf}{txt} now {bf}{res}str21{sf}
  {txt}variable {bf}understand_apol{sf} was {bf}{res}str216{sf}{txt} now {bf}{res}str21{sf}
  {txt}variable {bf}acttake_epol{sf} was {bf}{res}str247{sf}{txt} now {bf}{res}str163{sf}
  {txt}variable {bf}acttake_epoloth{sf} was {bf}{res}str261{sf}{txt} now {bf}{res}str63{sf}
  {txt}variable {bf}acttake_apol{sf} was {bf}{res}str250{sf}{txt} now {bf}{res}str1{sf}
  {txt}variable {bf}acttake_apoloth{sf} was {bf}{res}str264{sf}{txt} now {bf}{res}str1{sf}
  {txt}variable {bf}likely{sf} was {bf}{res}str159{sf}{txt} now {bf}{res}str18{sf}
  {txt}variable {bf}who_apt_bur{sf} was {bf}{res}str126{sf}{txt} now {bf}{res}str64{sf}
  {txt}variable {bf}who_fir_bur{sf} was {bf}{res}str120{sf}{txt} now {bf}{res}str64{sf}
  {txt}variable {bf}who_fir_buroth{sf} was {bf}{res}str134{sf}{txt} now {bf}{res}str77{sf}
  {txt}variable {bf}ocap_epol{sf} was {bf}{res}str359{sf}{txt} now {bf}{res}str55{sf}
  {txt}variable {bf}ocap_apol{sf} was {bf}{res}str361{sf}{txt} now {bf}{res}str1{sf}
  {txt}variable {bf}prio_epol{sf} was {bf}{res}str209{sf}{txt} now {bf}{res}str73{sf}
  {txt}variable {bf}prio_apol{sf} was {bf}{res}str211{sf}{txt} now {bf}{res}str1{sf}
  {txt}variable {bf}overall_conf{sf} was {bf}{res}str191{sf}{txt} now {bf}{res}str17{sf}
  {txt}variable {bf}avg_educ_buro{sf} was {bf}{res}str117{sf}{txt} now {bf}{res}str101{sf}
  {txt}variable {bf}avg_slry_apol{sf} was {bf}{res}str134{sf}{txt} now {bf}{res}str128{sf}
  {txt}variable {bf}avg_slry_buro{sf} was {bf}{res}str134{sf}{txt} now {bf}{res}str87{sf}
  {txt}variable {bf}confirmation{sf} was {bf}{res}str1148{sf}{txt} now {bf}{res}str63{sf}
{txt}  (462,685 bytes saved)

{com}.         
.         * We edit the label 
.         
.         lab var country "Country"
{txt}
{com}.         lab var full_name  "Full name of recipient"
{txt}
{com}.         lab var recipientemail "Recipient email"
{txt}
{com}.         lab var userlanguage "Language used to answer"
{txt}
{com}.         lab var finished "Completion status"
{txt}
{com}.         lab var progress "Progress"
{txt}
{com}.         lab var duration_minutes "Duration in minutes"
{txt}
{com}.         lab var case_n_unit "Original number of entities"
{txt}
{com}.         lab var unit_num "Unit number"
{txt}
{com}.         
.         * Confirmation
.         
.         fre confirmation
{res}
{txt}confirmation
{txt}{hline 54}{hline 1}{c TT}{hline 44}
{txt}        {txt}                                               {c |}      Freq.    Percent      Valid       Cum.
{txt}{hline 54}{hline 1}{c +}{hline 44}
{txt}Valid   No, this is inaccurate. This level needs to be {c |}{res}          2       3.28       7.14       7.14
{txt}        replaced/deleted                               {c |}{res}                                            
{txt}        No, this level needs to be replaced/deleted    {c |}{res}          2       3.28       7.14      14.29
{txt}        Yes, this is accurate                          {c |}{res}         24      39.34      85.71     100.00
{txt}        Total                                          {c |}{res}         28      45.90     100.00           
{txt}Missing                                                {c |}{res}         33      54.10                      
{txt}Total                                                  {c |}{res}         61     100.00                      
{txt}{hline 54}{hline 1}{c BT}{hline 44}

{com}.         replace confirmation = "1" if confirmation == "Yes, this is accurate"
{txt}(24 real changes made)

{com}.         replace confirmation = "0" if regexm(confirmation,"No")
{txt}(4 real changes made)

{com}.         destring confirmation, replace
{txt}confirmation: all characters numeric; {res}replaced {txt}as {res}byte
{txt}(33 missing values generated)
{res}{txt}
{com}.         
.         lab var confirmation "Confirmation of adequacy of unit"
{txt}
{com}.         lab def confirmation 0 "No, this is not accurate. It should be replaced/deleted" 1 "Yes, this is accurate"
{txt}
{com}.         lab val confirmation confirmation
{txt}
{com}.         
.         fre confirmation
{res}
{txt}confirmation {hline 2} Confirmation of adequacy of unit
{txt}{hline 48}{hline 1}{c TT}{hline 44}
{txt}        {txt}                                         {c |}      Freq.    Percent      Valid       Cum.
{txt}{hline 48}{hline 1}{c +}{hline 44}
{txt}Valid   0 No, this is not accurate. It should be {c |}{res}          4       6.56      14.29      14.29
{txt}          replaced/deleted                       {c |}{res}                                            
{txt}        1 Yes, this is accurate                  {c |}{res}         24      39.34      85.71     100.00
{txt}        Total                                    {c |}{res}         28      45.90     100.00           
{txt}Missing .                                        {c |}{res}         33      54.10                      
{txt}Total                                            {c |}{res}         61     100.00                      
{txt}{hline 48}{hline 1}{c BT}{hline 44}

{com}.         
.         order confirmation, after(unit_num)
{txt}
{com}.         
.         * Creating variable about asked_survey (should be updated)
.         
.         gen asked_survey = 0
{txt}
{com}.         replace asked_survey = 1 if confirmation == 1
{txt}(24 real changes made)

{com}.         lab var asked_survey "Survey question asked to respondent"
{txt}
{com}.         lab def yesno 0 "No" 1 "Yes"
{txt}
{com}.         lab val asked_survey yesno
{txt}
{com}.         order asked_survey, after(confirmation)
{txt}
{com}.         
.         * title_bur
.         
.         lab var title_bur "Title of the highest-level bureaucrat in unit"
{txt}
{com}.         
.         gen test_title_bur = (title_bur != "")
{txt}
{com}.         replace test_title_bur = . if asked_survey == 0
{txt}(37 real changes made, 37 to missing)

{com}.         fre test_title_bur
{res}
{txt}test_title_bur
{txt}{hline 9}{hline 1}{c TT}{hline 44}
{txt}        {txt}  {c |}      Freq.    Percent      Valid       Cum.
{txt}{hline 9}{hline 1}{c +}{hline 44}
{txt}Valid   1 {c |}{res}         24      39.34     100.00     100.00
{txt}Missing . {c |}{res}         37      60.66                      
{txt}Total     {c |}{res}         61     100.00                      
{txt}{hline 9}{hline 1}{c BT}{hline 44}

{com}.         assert inlist(test_title_bur,.,1)
{txt}
{com}.         
.         drop test_title_bur
{txt}
{com}.         
.         * elecpol_ovrsee
.         
.         lab var elecpol_ovrsee "Any politicians in unit overseeing service delivery"
{txt}
{com}.         replace elecpol_ovrsee = "0" if elecpol_ovrsee == "No"
{txt}(2 real changes made)

{com}.         replace elecpol_ovrsee = "1" if elecpol_ovrsee == "Yes"
{txt}(23 real changes made)

{com}.         destring elecpol_ovrsee, replace
{txt}elecpol_ovrsee: all characters numeric; {res}replaced {txt}as {res}byte
{txt}(36 missing values generated)
{res}{txt}
{com}.         lab val elecpol_ovrsee yesno
{txt}
{com}.         
.         fre elecpol_ovrsee
{res}
{txt}elecpol_ovrsee {hline 2} Any politicians in unit overseeing service delivery
{txt}{hline 13}{hline 1}{c TT}{hline 44}
{txt}        {txt}      {c |}      Freq.    Percent      Valid       Cum.
{txt}{hline 13}{hline 1}{c +}{hline 44}
{txt}Valid   0 No  {c |}{res}          2       3.28       8.00       8.00
{txt}        1 Yes {c |}{res}         23      37.70      92.00     100.00
{txt}        Total {c |}{res}         25      40.98     100.00           
{txt}Missing .     {c |}{res}         36      59.02                      
{txt}Total         {c |}{res}         61     100.00                      
{txt}{hline 13}{hline 1}{c BT}{hline 44}

{com}.         
.         gen test_elecpol_ovrsee = (elecpol_ovrsee != .)
{txt}
{com}.         replace test_elecpol_ovrsee = . if asked_survey == 0
{txt}(37 real changes made, 37 to missing)

{com}.         fre test_elecpol_ovrsee
{res}
{txt}test_elecpol_ovrsee
{txt}{hline 9}{hline 1}{c TT}{hline 44}
{txt}        {txt}  {c |}      Freq.    Percent      Valid       Cum.
{txt}{hline 9}{hline 1}{c +}{hline 44}
{txt}Valid   1 {c |}{res}         24      39.34     100.00     100.00
{txt}Missing . {c |}{res}         37      60.66                      
{txt}Total     {c |}{res}         61     100.00                      
{txt}{hline 9}{hline 1}{c BT}{hline 44}

{com}.         assert inlist(test_elecpol_ovrsee,.,1)
{txt}
{com}.         
.         drop test_elecpol_ovrsee
{txt}
{com}.         
.         * title_elecpol
.         
.         lab var title_elecpol "Title of the highest-level elected politician in unit"
{txt}
{com}.         
.         gen test_title_elecpol = (title_elecpol != "")
{txt}
{com}.         replace test_title_elecpol = . if asked_survey == 0
{txt}(37 real changes made, 37 to missing)

{com}.         replace test_title_elecpol = . if elecpol_ovrsee == 0
{txt}(1 real change made, 1 to missing)

{com}.         fre test_title_elecpol
{res}
{txt}test_title_elecpol
{txt}{hline 9}{hline 1}{c TT}{hline 44}
{txt}        {txt}  {c |}      Freq.    Percent      Valid       Cum.
{txt}{hline 9}{hline 1}{c +}{hline 44}
{txt}Valid   1 {c |}{res}         23      37.70     100.00     100.00
{txt}Missing . {c |}{res}         38      62.30                      
{txt}Total     {c |}{res}         61     100.00                      
{txt}{hline 9}{hline 1}{c BT}{hline 44}

{com}.         assert inlist(test_title_elecpol,.,1)
{txt}
{com}.         
.         drop test_title_elecpol
{txt}
{com}.         
.         * aptpol_d
.         
.         fre aptpol_d
{res}
{txt}aptpol_d
{txt}{hline 38}{hline 1}{c TT}{hline 44}
{txt}        {txt}                               {c |}      Freq.    Percent      Valid       Cum.
{txt}{hline 38}{hline 1}{c +}{hline 44}
{txt}Valid   Do not know / Refuse to answer {c |}{res}          1       1.64       4.00       4.00
{txt}        No                             {c |}{res}         15      24.59      60.00      64.00
{txt}        Yes                            {c |}{res}          9      14.75      36.00     100.00
{txt}        Total                          {c |}{res}         25      40.98     100.00           
{txt}Missing                                {c |}{res}         36      59.02                      
{txt}Total                                  {c |}{res}         61     100.00                      
{txt}{hline 38}{hline 1}{c BT}{hline 44}

{com}.         
.         lab var aptpol_d "Politician appointed by higher politician in unit"
{txt}
{com}.         replace aptpol_d = "0" if aptpol_d == "No"
{txt}(15 real changes made)

{com}.         replace aptpol_d = "1" if aptpol_d == "Yes"
{txt}(9 real changes made)

{com}.         replace aptpol_d = "-98" if aptpol_d == "Do not know / Refuse to answer"
{txt}(1 real change made)

{com}.         destring aptpol_d, replace
{txt}aptpol_d: all characters numeric; {res}replaced {txt}as {res}byte
{txt}(36 missing values generated)
{res}{txt}
{com}.         lab val aptpol_d yesno
{txt}
{com}.         
.         fre aptpol_d
{res}
{txt}aptpol_d {hline 2} Politician appointed by higher politician in unit
{txt}{hline 15}{hline 1}{c TT}{hline 44}
{txt}        {txt}        {c |}      Freq.    Percent      Valid       Cum.
{txt}{hline 15}{hline 1}{c +}{hline 44}
{txt}Valid   -98     {c |}{res}          1       1.64       4.00       4.00
{txt}        0   No  {c |}{res}         15      24.59      60.00      64.00
{txt}        1   Yes {c |}{res}          9      14.75      36.00     100.00
{txt}        Total   {c |}{res}         25      40.98     100.00           
{txt}Missing .       {c |}{res}         36      59.02                      
{txt}Total           {c |}{res}         61     100.00                      
{txt}{hline 15}{hline 1}{c BT}{hline 44}

{com}.         
.         gen test_aptpol_d = (aptpol_d != .)
{txt}
{com}.         replace test_aptpol_d = . if asked_survey == 0
{txt}(37 real changes made, 37 to missing)

{com}.         fre test_aptpol_d
{res}
{txt}test_aptpol_d
{txt}{hline 9}{hline 1}{c TT}{hline 44}
{txt}        {txt}  {c |}      Freq.    Percent      Valid       Cum.
{txt}{hline 9}{hline 1}{c +}{hline 44}
{txt}Valid   1 {c |}{res}         24      39.34     100.00     100.00
{txt}Missing . {c |}{res}         37      60.66                      
{txt}Total     {c |}{res}         61     100.00                      
{txt}{hline 9}{hline 1}{c BT}{hline 44}

{com}.         assert inlist(test_aptpol_d,.,1)
{txt}
{com}.         
.         drop test_aptpol_d
{txt}
{com}.         
.         * pol_exist_d
.         
.         gen pol_exist_d = 0
{txt}
{com}.         replace pol_exist_d = 1 if aptpol_d == 1 | elecpol_ovrsee == 1
{txt}(23 real changes made)

{com}.         replace pol_exist_d = . if asked_survey == 0
{txt}(37 real changes made, 37 to missing)

{com}.         lab val pol_exist_d yesno
{txt}
{com}.         lab var pol_exist_d "1 if we have either an appointed or elected politician"
{txt}
{com}.         
.         fre pol_exist_d
{res}
{txt}pol_exist_d {hline 2} 1 if we have either an appointed or elected politician
{txt}{hline 13}{hline 1}{c TT}{hline 44}
{txt}        {txt}      {c |}      Freq.    Percent      Valid       Cum.
{txt}{hline 13}{hline 1}{c +}{hline 44}
{txt}Valid   0 No  {c |}{res}          1       1.64       4.17       4.17
{txt}        1 Yes {c |}{res}         23      37.70      95.83     100.00
{txt}        Total {c |}{res}         24      39.34     100.00           
{txt}Missing .     {c |}{res}         37      60.66                      
{txt}Total         {c |}{res}         61     100.00                      
{txt}{hline 13}{hline 1}{c BT}{hline 44}

{com}.         order pol_exist_d, after(aptpol_d)
{txt}
{com}.         
.         * title_aptpol
.         
.         lab var title_aptpol "Title of the highest-level appointed politician in unit"
{txt}
{com}.         
.         gen test_title_aptpol = (title_aptpol != "")
{txt}
{com}.         replace test_title_aptpol = . if asked_survey == 0 
{txt}(37 real changes made, 37 to missing)

{com}.         replace test_title_aptpol = . if aptpol_d == 0 | aptpol_d == -98
{txt}(15 real changes made, 15 to missing)

{com}.         fre test_title_aptpol
{res}
{txt}test_title_aptpol
{txt}{hline 9}{hline 1}{c TT}{hline 44}
{txt}        {txt}  {c |}      Freq.    Percent      Valid       Cum.
{txt}{hline 9}{hline 1}{c +}{hline 44}
{txt}Valid   1 {c |}{res}          9      14.75     100.00     100.00
{txt}Missing . {c |}{res}         52      85.25                      
{txt}Total     {c |}{res}         61     100.00                      
{txt}{hline 9}{hline 1}{c BT}{hline 44}

{com}.         assert inlist(test_title_aptpol,.,1)
{txt}
{com}.         
.         drop test_title_aptpol
{txt}
{com}.         
.         * who_aptpol
.         
.         lab var who_aptpol "Who appoints the highest-level appointed politician in unit"
{txt}
{com}.         
.         gen test_who_aptpol = (who_aptpol != "")
{txt}
{com}.         replace test_who_aptpol = . if asked_survey == 0 
{txt}(37 real changes made, 37 to missing)

{com}.         replace test_who_aptpol = . if aptpol_d == 0 | aptpol_d == -98
{txt}(15 real changes made, 15 to missing)

{com}.         fre test_who_aptpol
{res}
{txt}test_who_aptpol
{txt}{hline 9}{hline 1}{c TT}{hline 44}
{txt}        {txt}  {c |}      Freq.    Percent      Valid       Cum.
{txt}{hline 9}{hline 1}{c +}{hline 44}
{txt}Valid   1 {c |}{res}          9      14.75     100.00     100.00
{txt}Missing . {c |}{res}         52      85.25                      
{txt}Total     {c |}{res}         61     100.00                      
{txt}{hline 9}{hline 1}{c BT}{hline 44}

{com}.         assert inlist(test_who_aptpol,.,1)
{txt}
{com}.         
.         drop test_who_aptpol
{txt}
{com}.         
.         * mostinf_servdel
.         
.         lab var mostinf_servdel "More influential in determining quality of service"
{txt}
{com}.         
.         replace mostinf_servdel = "1" if regexm(mostinf_servdel,"Elected much more")
{txt}(5 real changes made)

{com}.         replace mostinf_servdel = "2" if regexm(mostinf_servdel,"Elected slightly more")
{txt}(0 real changes made)

{com}.         replace mostinf_servdel = "3" if regexm(mostinf_servdel,"About the same")
{txt}(1 real change made)

{com}.         replace mostinf_servdel = "4" if regexm(mostinf_servdel,"Appointed slightly more")
{txt}(0 real changes made)

{com}.         replace mostinf_servdel = "5" if regexm(mostinf_servdel,"Appointed much more")
{txt}(3 real changes made)

{com}.         destring mostinf_servdel, replace
{txt}mostinf_servdel: all characters numeric; {res}replaced {txt}as {res}byte
{txt}(52 missing values generated)
{res}{txt}
{com}.         lab def mostinf_servdel 1 "Elected much more influential" 2 "Elected slightly more influential" 3 "About the same" 4 "Appointed slightly more influential" 5 "Appointed much more influential"
{txt}
{com}.         lab val mostinf_servdel mostinf_servdel
{txt}
{com}.         
.         fre mostinf_servdel
{res}
{txt}mostinf_servdel {hline 2} More influential in determining quality of service
{txt}{hline 41}{hline 1}{c TT}{hline 44}
{txt}        {txt}                                  {c |}      Freq.    Percent      Valid       Cum.
{txt}{hline 41}{hline 1}{c +}{hline 44}
{txt}Valid   1 Elected much more influential   {c |}{res}          5       8.20      55.56      55.56
{txt}        3 About the same                  {c |}{res}          1       1.64      11.11      66.67
{txt}        5 Appointed much more influential {c |}{res}          3       4.92      33.33     100.00
{txt}        Total                             {c |}{res}          9      14.75     100.00           
{txt}Missing .                                 {c |}{res}         52      85.25                      
{txt}Total                                     {c |}{res}         61     100.00                      
{txt}{hline 41}{hline 1}{c BT}{hline 44}

{com}.         
.         gen test_mostinf_servdel = (mostinf_servdel != .)
{txt}
{com}.         replace test_mostinf_servdel = . if asked_survey == 0 
{txt}(37 real changes made, 37 to missing)

{com}.         replace test_mostinf_servdel = . if (inlist(aptpol_d,0,-98) | elecpol_ovrsee == 0)
{txt}(15 real changes made, 15 to missing)

{com}.         fre test_mostinf_servdel
{res}
{txt}test_mostinf_servdel
{txt}{hline 9}{hline 1}{c TT}{hline 44}
{txt}        {txt}  {c |}      Freq.    Percent      Valid       Cum.
{txt}{hline 9}{hline 1}{c +}{hline 44}
{txt}Valid   1 {c |}{res}          9      14.75     100.00     100.00
{txt}Missing . {c |}{res}         52      85.25                      
{txt}Total     {c |}{res}         61     100.00                      
{txt}{hline 9}{hline 1}{c BT}{hline 44}

{com}.         assert inlist(test_mostinf_servdel,.,1)
{txt}
{com}.         
.         drop test_mostinf_servdel
{txt}
{com}.         
.         * educ_elecpolbur
.         
.         lab var educ_elecpolbur "More educated bureaucrat or politician (elec. politician)"
{txt}
{com}.         
.         fre educ_elecpolbur
{res}
{txt}educ_elecpolbur {hline 2} More educated bureaucrat or politician (elec. politician)
{txt}{hline 55}{hline 1}{c TT}{hline 44}
{txt}        {txt}                                                {c |}      Freq.    Percent      Valid       Cum.
{txt}{hline 55}{hline 1}{c +}{hline 44}
{txt}Valid   About the same level of education               {c |}{res}          4       6.56      17.39      17.39
{txt}        Bureaucrats much more educated than Politicians {c |}{res}         13      21.31      56.52      73.91
{txt}        Bureaucrats slightly more educated than         {c |}{res}          6       9.84      26.09     100.00
{txt}        Politicians                                     {c |}{res}                                            
{txt}        Total                                           {c |}{res}         23      37.70     100.00           
{txt}Missing                                                 {c |}{res}         38      62.30                      
{txt}Total                                                   {c |}{res}         61     100.00                      
{txt}{hline 55}{hline 1}{c BT}{hline 44}

{com}.         
.         replace educ_elecpolbur = "1" if regexm(educ_elecpolbur,"Bureaucrats much more educated")
{txt}(13 real changes made)

{com}.         replace educ_elecpolbur = "2" if regexm(educ_elecpolbur,"Bureaucrats slightly more educated")
{txt}(6 real changes made)

{com}.         replace educ_elecpolbur = "3" if regexm(educ_elecpolbur,"About the same")
{txt}(4 real changes made)

{com}.         replace educ_elecpolbur = "4" if regexm(educ_elecpolbur,"Politicians slightly more educated")
{txt}(0 real changes made)

{com}.         replace educ_elecpolbur = "5" if regexm(educ_elecpolbur,"Politicians much more educated")
{txt}(0 real changes made)

{com}.         destring educ_elecpolbur, replace
{txt}educ_elecpolbur: all characters numeric; {res}replaced {txt}as {res}byte
{txt}(38 missing values generated)
{res}{txt}
{com}.         lab def educ_elecpolbur 1 "Bureaucrats much more educated" 2 "Bureaucrats slightly more educated" 3 "About the same" 4 "Politicians slightly more educated" 5 "Politicians much more educated"
{txt}
{com}.         lab val educ_elecpolbur educ_elecpolbur
{txt}
{com}.         
.         fre educ_elecpolbur
{res}
{txt}educ_elecpolbur {hline 2} More educated bureaucrat or politician (elec. politician)
{txt}{hline 44}{hline 1}{c TT}{hline 44}
{txt}        {txt}                                     {c |}      Freq.    Percent      Valid       Cum.
{txt}{hline 44}{hline 1}{c +}{hline 44}
{txt}Valid   1 Bureaucrats much more educated     {c |}{res}         13      21.31      56.52      56.52
{txt}        2 Bureaucrats slightly more educated {c |}{res}          6       9.84      26.09      82.61
{txt}        3 About the same                     {c |}{res}          4       6.56      17.39     100.00
{txt}        Total                                {c |}{res}         23      37.70     100.00           
{txt}Missing .                                    {c |}{res}         38      62.30                      
{txt}Total                                        {c |}{res}         61     100.00                      
{txt}{hline 44}{hline 1}{c BT}{hline 44}

{com}.         
.         gen test_educ_elecpolbur = (educ_elecpolbur != .)
{txt}
{com}.         replace test_educ_elecpolbur = . if asked_survey == 0 
{txt}(37 real changes made, 37 to missing)

{com}.         replace test_educ_elecpolbur = . if elecpol_ovrsee == 0
{txt}(1 real change made, 1 to missing)

{com}.         fre test_educ_elecpolbur
{res}
{txt}test_educ_elecpolbur
{txt}{hline 9}{hline 1}{c TT}{hline 44}
{txt}        {txt}  {c |}      Freq.    Percent      Valid       Cum.
{txt}{hline 9}{hline 1}{c +}{hline 44}
{txt}Valid   1 {c |}{res}         23      37.70     100.00     100.00
{txt}Missing . {c |}{res}         38      62.30                      
{txt}Total     {c |}{res}         61     100.00                      
{txt}{hline 9}{hline 1}{c BT}{hline 44}

{com}.         assert inlist(test_educ_elecpolbur,.,1)
{txt}
{com}.         
.         drop test_educ_elecpolbur
{txt}
{com}.         
.         * educ_apolbur
.         
.         lab var educ_apolbur "More educated bureaucrat or politician (app. politician) "
{txt}
{com}.         
.         fre educ_apolbur
{res}
{txt}educ_apolbur {hline 2} More educated bureaucrat or politician (app. politician) 
{txt}{hline 8}{hline 1}{c TT}{hline 44}
{txt}        {txt} {c |}      Freq.    Percent      Valid       Cum.
{txt}{hline 8}{hline 1}{c +}{hline 44}
{txt}Missing  {c |}{res}         61     100.00                      
{txt}{hline 8}{hline 1}{c BT}{hline 44}

{com}.         
.         replace educ_apolbur = "1" if regexm(educ_apolbur,"Bureaucrats much more educated")
{txt}(0 real changes made)

{com}.         replace educ_apolbur = "2" if regexm(educ_apolbur,"Bureaucrats slightly more educated")
{txt}(0 real changes made)

{com}.         replace educ_apolbur = "3" if regexm(educ_apolbur,"About the same")
{txt}(0 real changes made)

{com}.         replace educ_apolbur = "4" if regexm(educ_apolbur,"Politicians slightly more educated")
{txt}(0 real changes made)

{com}.         replace educ_apolbur = "5" if regexm(educ_apolbur,"Politicians much more educated")
{txt}(0 real changes made)

{com}.         destring educ_apolbur, replace
{txt}educ_apolbur: all characters numeric; {res}replaced {txt}as {res}byte
{txt}(61 missing values generated)
{res}{txt}
{com}.         lab def educ_apolbur 1 "Bureaucrats much more educated" 2 "Bureaucrats slightly more educated" 3 "About the same" 4 "Politicians slightly more educated" 5 "Politicians much more educated"
{txt}
{com}.         lab val educ_apolbur educ_apolbur
{txt}
{com}.         
.         fre educ_apolbur
{res}
{txt}educ_apolbur {hline 2} More educated bureaucrat or politician (app. politician) 
{txt}{hline 13}{hline 1}{c TT}{hline 44}
{txt}        {txt}      {c |}      Freq.    Percent      Valid       Cum.
{txt}{hline 13}{hline 1}{c +}{hline 44}
{txt}Missing .     {c |}{res}         61     100.00                      
{txt}{hline 13}{hline 1}{c BT}{hline 44}

{com}.         
.         gen test_educ_apolbur = (educ_apolbur != .)
{txt}
{com}.         replace test_educ_apolbur = . if asked_survey == 0
{txt}(37 real changes made, 37 to missing)

{com}.         replace test_educ_apolbur = . if aptpol_d == 0
{txt}(14 real changes made, 14 to missing)

{com}.         replace test_educ_apolbur = . if elecpol_ovrsee == 1 
{txt}(10 real changes made, 10 to missing)

{com}.         fre test_educ_apolbur
{res}
{txt}test_educ_apolbur
{txt}{hline 9}{hline 1}{c TT}{hline 44}
{txt}        {txt}  {c |}      Freq.    Percent      Valid       Cum.
{txt}{hline 9}{hline 1}{c +}{hline 44}
{txt}Missing . {c |}{res}         61     100.00                      
{txt}{hline 9}{hline 1}{c BT}{hline 44}

{com}.         assert inlist(test_educ_apolbur,.,1)
{txt}
{com}.         
.         drop test_educ_apolbur
{txt}
{com}.         
.         * slry_elecpolbur
.         
.         lab var slry_elecpolbur "Earning more bureaucrat or politician (elec. politician)"
{txt}
{com}.         
.         fre slry_elecpolbur
{res}
{txt}slry_elecpolbur {hline 2} Earning more bureaucrat or politician (elec. politician)
{txt}{hline 55}{hline 1}{c TT}{hline 44}
{txt}        {txt}                                                {c |}      Freq.    Percent      Valid       Cum.
{txt}{hline 55}{hline 1}{c +}{hline 44}
{txt}Valid   Both earn about the same                        {c |}{res}          4       6.56      17.39      17.39
{txt}        Bureaucrats earn much more than Politicians     {c |}{res}          5       8.20      21.74      39.13
{txt}        Bureaucrats earn slightly more than Politicians {c |}{res}          3       4.92      13.04      52.17
{txt}        Politicians earn much more than Bureaucrats     {c |}{res}          6       9.84      26.09      78.26
{txt}        Politicians earn slightly more than Bureaucrats {c |}{res}          5       8.20      21.74     100.00
{txt}        Total                                           {c |}{res}         23      37.70     100.00           
{txt}Missing                                                 {c |}{res}         38      62.30                      
{txt}Total                                                   {c |}{res}         61     100.00                      
{txt}{hline 55}{hline 1}{c BT}{hline 44}

{com}.         
.         replace slry_elecpolbur = "1" if regexm(slry_elecpolbur,"Bureaucrats earn much")
{txt}(5 real changes made)

{com}.         replace slry_elecpolbur = "2" if regexm(slry_elecpolbur,"Bureaucrats earn slightly")
{txt}(3 real changes made)

{com}.         replace slry_elecpolbur = "3" if regexm(slry_elecpolbur,"Both earn")
{txt}(4 real changes made)

{com}.         replace slry_elecpolbur = "4" if regexm(slry_elecpolbur,"Politicians earn slightly")
{txt}(5 real changes made)

{com}.         replace slry_elecpolbur = "5" if regexm(slry_elecpolbur,"Politicians earn much")
{txt}(6 real changes made)

{com}.         destring slry_elecpolbur, replace
{txt}slry_elecpolbur: all characters numeric; {res}replaced {txt}as {res}byte
{txt}(38 missing values generated)
{res}{txt}
{com}.         lab def slry_elecpolbur 1 "Bureaucrats earn much more" 2 "Bureaucrats earn slightly more" 3 "Both earn the same" 4 "Politicians earn slightly" 5 "Politicians earn much more"
{txt}
{com}.         lab val slry_elecpolbur slry_elecpolbur
{txt}
{com}.         
.         fre slry_elecpolbur
{res}
{txt}slry_elecpolbur {hline 2} Earning more bureaucrat or politician (elec. politician)
{txt}{hline 40}{hline 1}{c TT}{hline 44}
{txt}        {txt}                                 {c |}      Freq.    Percent      Valid       Cum.
{txt}{hline 40}{hline 1}{c +}{hline 44}
{txt}Valid   1 Bureaucrats earn much more     {c |}{res}          5       8.20      21.74      21.74
{txt}        2 Bureaucrats earn slightly more {c |}{res}          3       4.92      13.04      34.78
{txt}        3 Both earn the same             {c |}{res}          4       6.56      17.39      52.17
{txt}        4 Politicians earn slightly      {c |}{res}          5       8.20      21.74      73.91
{txt}        5 Politicians earn much more     {c |}{res}          6       9.84      26.09     100.00
{txt}        Total                            {c |}{res}         23      37.70     100.00           
{txt}Missing .                                {c |}{res}         38      62.30                      
{txt}Total                                    {c |}{res}         61     100.00                      
{txt}{hline 40}{hline 1}{c BT}{hline 44}

{com}.         
.         gen test_slry_elecpolbur = (slry_elecpolbur != .)
{txt}
{com}.         replace test_slry_elecpolbur = . if asked_survey == 0 
{txt}(37 real changes made, 37 to missing)

{com}.         replace test_slry_elecpolbur = . if elecpol_ovrsee == 0
{txt}(1 real change made, 1 to missing)

{com}.         fre test_slry_elecpolbur
{res}
{txt}test_slry_elecpolbur
{txt}{hline 9}{hline 1}{c TT}{hline 44}
{txt}        {txt}  {c |}      Freq.    Percent      Valid       Cum.
{txt}{hline 9}{hline 1}{c +}{hline 44}
{txt}Valid   1 {c |}{res}         23      37.70     100.00     100.00
{txt}Missing . {c |}{res}         38      62.30                      
{txt}Total     {c |}{res}         61     100.00                      
{txt}{hline 9}{hline 1}{c BT}{hline 44}

{com}.         assert inlist(test_slry_elecpolbur,.,1)
{txt}
{com}.         
.         drop test_slry_elecpolbur
{txt}
{com}.         
.         * slry_apolbur
.         
.         lab var slry_apolbur "Earning more bureaucrat or politician (app. politician)"
{txt}
{com}.         
.         fre slry_apolbur
{res}
{txt}slry_apolbur {hline 2} Earning more bureaucrat or politician (app. politician)
{txt}{hline 8}{hline 1}{c TT}{hline 44}
{txt}        {txt} {c |}      Freq.    Percent      Valid       Cum.
{txt}{hline 8}{hline 1}{c +}{hline 44}
{txt}Missing  {c |}{res}         61     100.00                      
{txt}{hline 8}{hline 1}{c BT}{hline 44}

{com}.         
.         replace slry_apolbur = "1" if regexm(slry_apolbur,"Bureaucrats earn much")
{txt}(0 real changes made)

{com}.         replace slry_apolbur = "2" if regexm(slry_apolbur,"Bureaucrats earn slightly")
{txt}(0 real changes made)

{com}.         replace slry_apolbur = "3" if regexm(slry_apolbur,"Both earn")
{txt}(0 real changes made)

{com}.         replace slry_apolbur = "4" if regexm(slry_apolbur,"Politicians earn slightly")
{txt}(0 real changes made)

{com}.         replace slry_apolbur = "5" if regexm(slry_apolbur,"Politicians earn much")
{txt}(0 real changes made)

{com}.         destring slry_apolbur, replace
{txt}slry_apolbur: all characters numeric; {res}replaced {txt}as {res}byte
{txt}(61 missing values generated)
{res}{txt}
{com}.         lab def slry_apolbur 1 "Bureaucrats earn much more" 2 "Bureaucrats earn slightly more" 3 "Both earn the same" 4 "Politicians earn slightly" 5 "Politicians earn much more"
{txt}
{com}.         lab val slry_apolbur slry_apolbur
{txt}
{com}.         
.         fre slry_apolbur
{res}
{txt}slry_apolbur {hline 2} Earning more bureaucrat or politician (app. politician)
{txt}{hline 13}{hline 1}{c TT}{hline 44}
{txt}        {txt}      {c |}      Freq.    Percent      Valid       Cum.
{txt}{hline 13}{hline 1}{c +}{hline 44}
{txt}Missing .     {c |}{res}         61     100.00                      
{txt}{hline 13}{hline 1}{c BT}{hline 44}

{com}.         
.         gen test_slry_apolbur = (slry_apolbur != .)
{txt}
{com}.         replace test_slry_apolbur = . if asked_survey == 0
{txt}(37 real changes made, 37 to missing)

{com}.         replace test_slry_apolbur = . if aptpol_d == 0
{txt}(14 real changes made, 14 to missing)

{com}.         replace test_slry_apolbur = . if elecpol_ovrsee == 1 
{txt}(10 real changes made, 10 to missing)

{com}.         fre test_slry_apolbur
{res}
{txt}test_slry_apolbur
{txt}{hline 9}{hline 1}{c TT}{hline 44}
{txt}        {txt}  {c |}      Freq.    Percent      Valid       Cum.
{txt}{hline 9}{hline 1}{c +}{hline 44}
{txt}Missing . {c |}{res}         61     100.00                      
{txt}{hline 9}{hline 1}{c BT}{hline 44}

{com}.         assert inlist(test_slry_apolbur,.,1)
{txt}
{com}.         
.         drop test_slry_apolbur
{txt}
{com}.         
.         * We merge the payment module
.         
.         merge m:1 responseid using "`payment_module'"
{res}
{txt}{col 5}Result{col 38}# of obs.
{col 5}{hline 41}
{col 5}not matched{col 30}{res}               0
{txt}{col 5}matched{col 30}{res}              61{txt}  (_merge==3)
{col 5}{hline 41}

{com}.         drop _merge
{txt}
{com}.         order donate_d org_donation_id paid_status, after(duration_minutes)
{txt}
{com}.         
.         * fdout_epol_bgt
.         
.         lab var fdout_epol_bgt "Easy to find out about envelop (elec. politician)"
{txt}
{com}.         
.         fre fdout_epol_bgt
{res}
{txt}fdout_epol_bgt {hline 2} Easy to find out about envelop (elec. politician)
{txt}{hline 26}{hline 1}{c TT}{hline 44}
{txt}        {txt}                   {c |}      Freq.    Percent      Valid       Cum.
{txt}{hline 26}{hline 1}{c +}{hline 44}
{txt}Valid   Somewhat difficult {c |}{res}          3       4.92      13.04      13.04
{txt}        Somewhat easy      {c |}{res}          6       9.84      26.09      39.13
{txt}        Very easy          {c |}{res}         14      22.95      60.87     100.00
{txt}        Total              {c |}{res}         23      37.70     100.00           
{txt}Missing                    {c |}{res}         38      62.30                      
{txt}Total                      {c |}{res}         61     100.00                      
{txt}{hline 26}{hline 1}{c BT}{hline 44}

{com}.         
.         replace fdout_epol_bgt = "1" if regexm(fdout_epol_bgt,"Very easy")
{txt}(14 real changes made)

{com}.         replace fdout_epol_bgt = "2" if regexm(fdout_epol_bgt,"Somewhat easy")
{txt}(6 real changes made)

{com}.         replace fdout_epol_bgt = "3" if regexm(fdout_epol_bgt,"Somewhat difficult")
{txt}(3 real changes made)

{com}.         replace fdout_epol_bgt = "4" if regexm(fdout_epol_bgt,"Very difficult")
{txt}(0 real changes made)

{com}.         replace fdout_epol_bgt = "5" if regexm(fdout_epol_bgt,"Not applicable")
{txt}(0 real changes made)

{com}.         replace fdout_epol_bgt = "6" if regexm(fdout_epol_bgt,"Do not know")
{txt}(0 real changes made)

{com}.         
.         destring fdout_epol_bgt, replace
{txt}fdout_epol_bgt: all characters numeric; {res}replaced {txt}as {res}byte
{txt}(38 missing values generated)
{res}{txt}
{com}.         lab def fdout_epol_bgt 1 "Very easy" 2 "Somewhat easy" 3 "Somewhat difficult" 4 "Very difficult" 5 "Not applicable, this level of government has no spending power" 6 "Do not know / Refuse to answer"
{txt}
{com}.         lab val fdout_epol_bgt fdout_epol_bgt
{txt}
{com}.         
.         fre fdout_epol_bgt
{res}
{txt}fdout_epol_bgt {hline 2} Easy to find out about envelop (elec. politician)
{txt}{hline 28}{hline 1}{c TT}{hline 44}
{txt}        {txt}                     {c |}      Freq.    Percent      Valid       Cum.
{txt}{hline 28}{hline 1}{c +}{hline 44}
{txt}Valid   1 Very easy          {c |}{res}         14      22.95      60.87      60.87
{txt}        2 Somewhat easy      {c |}{res}          6       9.84      26.09      86.96
{txt}        3 Somewhat difficult {c |}{res}          3       4.92      13.04     100.00
{txt}        Total                {c |}{res}         23      37.70     100.00           
{txt}Missing .                    {c |}{res}         38      62.30                      
{txt}Total                        {c |}{res}         61     100.00                      
{txt}{hline 28}{hline 1}{c BT}{hline 44}

{com}.         
.         gen test_fdout_epol_bgt = (fdout_epol_bgt != .)
{txt}
{com}.         replace test_fdout_epol_bgt = . if asked_survey == 0 
{txt}(37 real changes made, 37 to missing)

{com}.         replace test_fdout_epol_bgt = . if elecpol_ovrsee == 0
{txt}(1 real change made, 1 to missing)

{com}.         fre test_fdout_epol_bgt
{res}
{txt}test_fdout_epol_bgt
{txt}{hline 9}{hline 1}{c TT}{hline 44}
{txt}        {txt}  {c |}      Freq.    Percent      Valid       Cum.
{txt}{hline 9}{hline 1}{c +}{hline 44}
{txt}Valid   1 {c |}{res}         23      37.70     100.00     100.00
{txt}Missing . {c |}{res}         38      62.30                      
{txt}Total     {c |}{res}         61     100.00                      
{txt}{hline 9}{hline 1}{c BT}{hline 44}

{com}.         assert inlist(test_fdout_epol_bgt,.,1)
{txt}
{com}.         
.         drop test_fdout_epol_bgt
{txt}
{com}.         
.         * fdout_apol_bgt
.         
.         lab var fdout_apol_bgt "Easy to find out about envelop (app. politician)"
{txt}
{com}.         
.         fre fdout_apol_bgt
{res}
{txt}fdout_apol_bgt {hline 2} Easy to find out about envelop (app. politician)
{txt}{hline 8}{hline 1}{c TT}{hline 44}
{txt}        {txt} {c |}      Freq.    Percent      Valid       Cum.
{txt}{hline 8}{hline 1}{c +}{hline 44}
{txt}Missing  {c |}{res}         61     100.00                      
{txt}{hline 8}{hline 1}{c BT}{hline 44}

{com}.         
.         replace fdout_apol_bgt = "1" if regexm(fdout_apol_bgt,"Very easy")
{txt}(0 real changes made)

{com}.         replace fdout_apol_bgt = "2" if regexm(fdout_apol_bgt,"Somewhat easy")
{txt}(0 real changes made)

{com}.         replace fdout_apol_bgt = "3" if regexm(fdout_apol_bgt,"Somewhat difficult")
{txt}(0 real changes made)

{com}.         replace fdout_apol_bgt = "4" if regexm(fdout_apol_bgt,"Very difficult")
{txt}(0 real changes made)

{com}.         replace fdout_apol_bgt = "5" if regexm(fdout_apol_bgt,"Not applicable")
{txt}(0 real changes made)

{com}.         replace fdout_apol_bgt = "6" if regexm(fdout_apol_bgt,"Do not know")
{txt}(0 real changes made)

{com}.         
.         destring fdout_apol_bgt, replace
{txt}fdout_apol_bgt: all characters numeric; {res}replaced {txt}as {res}byte
{txt}(61 missing values generated)
{res}{txt}
{com}.         lab def fdout_apol_bgt 1 "Very easy" 2 "Somewhat easy" 3 "Somewhat difficult" 4 "Very difficult" 5 "Not applicable, this level of government has no spending power" 6 "Do not know / Refuse to answer"
{txt}
{com}.         lab val fdout_apol_bgt fdout_apol_bgt
{txt}
{com}.         
.         fre fdout_apol_bgt
{res}
{txt}fdout_apol_bgt {hline 2} Easy to find out about envelop (app. politician)
{txt}{hline 13}{hline 1}{c TT}{hline 44}
{txt}        {txt}      {c |}      Freq.    Percent      Valid       Cum.
{txt}{hline 13}{hline 1}{c +}{hline 44}
{txt}Missing .     {c |}{res}         61     100.00                      
{txt}{hline 13}{hline 1}{c BT}{hline 44}

{com}.         
.         gen test_fdout_apol_bgt = (fdout_apol_bgt != .)
{txt}
{com}.         replace test_fdout_apol_bgt = . if asked_survey == 0
{txt}(37 real changes made, 37 to missing)

{com}.         replace test_fdout_apol_bgt = . if aptpol_d == 0
{txt}(14 real changes made, 14 to missing)

{com}.         replace test_fdout_apol_bgt = . if elecpol_ovrsee == 1 
{txt}(10 real changes made, 10 to missing)

{com}.         fre test_fdout_apol_bgt
{res}
{txt}test_fdout_apol_bgt
{txt}{hline 9}{hline 1}{c TT}{hline 44}
{txt}        {txt}  {c |}      Freq.    Percent      Valid       Cum.
{txt}{hline 9}{hline 1}{c +}{hline 44}
{txt}Missing . {c |}{res}         61     100.00                      
{txt}{hline 9}{hline 1}{c BT}{hline 44}

{com}.         assert inlist(test_fdout_apol_bgt,.,1)
{txt}
{com}.         
.         drop test_fdout_apol_bgt
{txt}
{com}.         
.         * budsect_epol
.         
.         lab var budsect_epol "Find about budget allocation to sectors (elec. politician)"
{txt}
{com}.         
.         fre budsect_epol
{res}
{txt}budsect_epol {hline 2} Find about budget allocation to sectors (elec. politician)
{txt}{hline 26}{hline 1}{c TT}{hline 44}
{txt}        {txt}                   {c |}      Freq.    Percent      Valid       Cum.
{txt}{hline 26}{hline 1}{c +}{hline 44}
{txt}Valid   Somewhat difficult {c |}{res}          2       3.28       8.70       8.70
{txt}        Somewhat easy      {c |}{res}          4       6.56      17.39      26.09
{txt}        Very difficult     {c |}{res}          1       1.64       4.35      30.43
{txt}        Very easy          {c |}{res}          9      14.75      39.13      69.57
{txt}        Somewhat easy      {c |}{res}          1       1.64       4.35      73.91
{txt}        Very easy          {c |}{res}          6       9.84      26.09     100.00
{txt}        Total              {c |}{res}         23      37.70     100.00           
{txt}Missing                    {c |}{res}         38      62.30                      
{txt}Total                      {c |}{res}         61     100.00                      
{txt}{hline 26}{hline 1}{c BT}{hline 44}

{com}.         
.         replace budsect_epol = "1" if regexm(budsect_epol,"Very easy")
{txt}(15 real changes made)

{com}.         replace budsect_epol = "2" if regexm(budsect_epol,"Somewhat easy")
{txt}(5 real changes made)

{com}.         replace budsect_epol = "3" if regexm(budsect_epol,"Somewhat difficult")
{txt}(2 real changes made)

{com}.         replace budsect_epol = "4" if regexm(budsect_epol,"Very difficult")
{txt}(1 real change made)

{com}.         replace budsect_epol = "5" if regexm(budsect_epol,"Not applicable")
{txt}(0 real changes made)

{com}.         replace budsect_epol = "6" if regexm(budsect_epol,"Do not know")
{txt}(0 real changes made)

{com}.         
.         destring budsect_epol, replace
{txt}budsect_epol: all characters numeric; {res}replaced {txt}as {res}byte
{txt}(38 missing values generated)
{res}{txt}
{com}.         lab def budsect_epol 1 "Very easy" 2 "Somewhat easy" 3 "Somewhat difficult" 4 "Very difficult" 5 "Not applicable, this level of government has no spending power" 6 "Do not know / Refuse to answer"
{txt}
{com}.         lab val budsect_epol budsect_epol
{txt}
{com}.         
.         fre budsect_epol
{res}
{txt}budsect_epol {hline 2} Find about budget allocation to sectors (elec. politician)
{txt}{hline 28}{hline 1}{c TT}{hline 44}
{txt}        {txt}                     {c |}      Freq.    Percent      Valid       Cum.
{txt}{hline 28}{hline 1}{c +}{hline 44}
{txt}Valid   1 Very easy          {c |}{res}         15      24.59      65.22      65.22
{txt}        2 Somewhat easy      {c |}{res}          5       8.20      21.74      86.96
{txt}        3 Somewhat difficult {c |}{res}          2       3.28       8.70      95.65
{txt}        4 Very difficult     {c |}{res}          1       1.64       4.35     100.00
{txt}        Total                {c |}{res}         23      37.70     100.00           
{txt}Missing .                    {c |}{res}         38      62.30                      
{txt}Total                        {c |}{res}         61     100.00                      
{txt}{hline 28}{hline 1}{c BT}{hline 44}

{com}.         
.         gen test_budsect_epol = (budsect_epol != .)
{txt}
{com}.         replace test_budsect_epol = . if asked_survey == 0 
{txt}(37 real changes made, 37 to missing)

{com}.         replace test_budsect_epol = . if elecpol_ovrsee == 0
{txt}(1 real change made, 1 to missing)

{com}.         fre test_budsect_epol
{res}
{txt}test_budsect_epol
{txt}{hline 9}{hline 1}{c TT}{hline 44}
{txt}        {txt}  {c |}      Freq.    Percent      Valid       Cum.
{txt}{hline 9}{hline 1}{c +}{hline 44}
{txt}Valid   1 {c |}{res}         23      37.70     100.00     100.00
{txt}Missing . {c |}{res}         38      62.30                      
{txt}Total     {c |}{res}         61     100.00                      
{txt}{hline 9}{hline 1}{c BT}{hline 44}

{com}.         assert inlist(test_budsect_epol,.,1)
{txt}
{com}.         
.         drop test_budsect_epol
{txt}
{com}.         
.         * budsect_apol
.         
.         lab var budsect_apol "Find about budget allocation to sectors (app. politician)"
{txt}
{com}.         
.         fre budsect_apol
{res}
{txt}budsect_apol {hline 2} Find about budget allocation to sectors (app. politician)
{txt}{hline 8}{hline 1}{c TT}{hline 44}
{txt}        {txt} {c |}      Freq.    Percent      Valid       Cum.
{txt}{hline 8}{hline 1}{c +}{hline 44}
{txt}Missing  {c |}{res}         61     100.00                      
{txt}{hline 8}{hline 1}{c BT}{hline 44}

{com}.         
.         replace budsect_apol = "1" if regexm(budsect_apol,"Very easy")
{txt}(0 real changes made)

{com}.         replace budsect_apol = "2" if regexm(budsect_apol,"Somewhat easy")
{txt}(0 real changes made)

{com}.         replace budsect_apol = "3" if regexm(budsect_apol,"Somewhat difficult")
{txt}(0 real changes made)

{com}.         replace budsect_apol = "4" if regexm(budsect_apol,"Very difficult")
{txt}(0 real changes made)

{com}.         replace budsect_apol = "5" if regexm(budsect_apol,"Not applicable")
{txt}(0 real changes made)

{com}.         replace budsect_apol = "6" if regexm(budsect_apol,"Do not know")
{txt}(0 real changes made)

{com}.         
.         destring budsect_apol, replace
{txt}budsect_apol: all characters numeric; {res}replaced {txt}as {res}byte
{txt}(61 missing values generated)
{res}{txt}
{com}.         lab def budsect_apol 1 "Very easy" 2 "Somewhat easy" 3 "Somewhat difficult" 4 "Very difficult" 5 "Not applicable, this level of government has no spending power" 6 "Do not know / Refuse to answer"
{txt}
{com}.         lab val budsect_apol budsect_apol
{txt}
{com}.         
.         fre budsect_apol
{res}
{txt}budsect_apol {hline 2} Find about budget allocation to sectors (app. politician)
{txt}{hline 13}{hline 1}{c TT}{hline 44}
{txt}        {txt}      {c |}      Freq.    Percent      Valid       Cum.
{txt}{hline 13}{hline 1}{c +}{hline 44}
{txt}Missing .     {c |}{res}         61     100.00                      
{txt}{hline 13}{hline 1}{c BT}{hline 44}

{com}.         
.         gen test_budsect_apol = (budsect_apol != .)
{txt}
{com}.         replace test_budsect_apol = . if asked_survey == 0
{txt}(37 real changes made, 37 to missing)

{com}.         replace test_budsect_apol = . if aptpol_d == 0
{txt}(14 real changes made, 14 to missing)

{com}.         replace test_budsect_apol = . if elecpol_ovrsee == 1 
{txt}(10 real changes made, 10 to missing)

{com}.         fre test_budsect_apol
{res}
{txt}test_budsect_apol
{txt}{hline 9}{hline 1}{c TT}{hline 44}
{txt}        {txt}  {c |}      Freq.    Percent      Valid       Cum.
{txt}{hline 9}{hline 1}{c +}{hline 44}
{txt}Missing . {c |}{res}         61     100.00                      
{txt}{hline 9}{hline 1}{c BT}{hline 44}

{com}.         assert inlist(test_budsect_apol,.,1)
{txt}
{com}.         
.         drop test_budsect_apol
{txt}
{com}.         
.         * acinfexp_epol
.         
.         lab var acinfexp_epol "Obtain detailed info about expenditures (elec. politician)"
{txt}
{com}.         
.         fre acinfexp_epol
{res}
{txt}acinfexp_epol {hline 2} Obtain detailed info about expenditures (elec. politician)
{txt}{hline 26}{hline 1}{c TT}{hline 44}
{txt}        {txt}                   {c |}      Freq.    Percent      Valid       Cum.
{txt}{hline 26}{hline 1}{c +}{hline 44}
{txt}Valid   Somewhat difficult {c |}{res}          5       8.20      21.74      21.74
{txt}        Somewhat easy      {c |}{res}          3       4.92      13.04      34.78
{txt}        Very difficult     {c |}{res}          1       1.64       4.35      39.13
{txt}        Very easy          {c |}{res}         14      22.95      60.87     100.00
{txt}        Total              {c |}{res}         23      37.70     100.00           
{txt}Missing                    {c |}{res}         38      62.30                      
{txt}Total                      {c |}{res}         61     100.00                      
{txt}{hline 26}{hline 1}{c BT}{hline 44}

{com}.         
.         replace acinfexp_epol = "1" if regexm(acinfexp_epol,"Very easy")
{txt}(14 real changes made)

{com}.         replace acinfexp_epol = "2" if regexm(acinfexp_epol,"Somewhat easy")
{txt}(3 real changes made)

{com}.         replace acinfexp_epol = "3" if regexm(acinfexp_epol,"Somewhat difficult")
{txt}(5 real changes made)

{com}.         replace acinfexp_epol = "4" if regexm(acinfexp_epol,"Very difficult")
{txt}(1 real change made)

{com}.         replace acinfexp_epol = "5" if regexm(acinfexp_epol,"Not applicable")
{txt}(0 real changes made)

{com}.         replace acinfexp_epol = "6" if regexm(acinfexp_epol,"Do not know")
{txt}(0 real changes made)

{com}.         
.         destring acinfexp_epol, replace
{txt}acinfexp_epol: all characters numeric; {res}replaced {txt}as {res}byte
{txt}(38 missing values generated)
{res}{txt}
{com}.         lab def acinfexp_epol 1 "Very easy" 2 "Somewhat easy" 3 "Somewhat difficult" 4 "Very difficult" 5 "Not applicable, this level of government has no spending power" 6 "Do not know / Refuse to answer"
{txt}
{com}.         lab val acinfexp_epol acinfexp_epol
{txt}
{com}.         
.         fre acinfexp_epol
{res}
{txt}acinfexp_epol {hline 2} Obtain detailed info about expenditures (elec. politician)
{txt}{hline 28}{hline 1}{c TT}{hline 44}
{txt}        {txt}                     {c |}      Freq.    Percent      Valid       Cum.
{txt}{hline 28}{hline 1}{c +}{hline 44}
{txt}Valid   1 Very easy          {c |}{res}         14      22.95      60.87      60.87
{txt}        2 Somewhat easy      {c |}{res}          3       4.92      13.04      73.91
{txt}        3 Somewhat difficult {c |}{res}          5       8.20      21.74      95.65
{txt}        4 Very difficult     {c |}{res}          1       1.64       4.35     100.00
{txt}        Total                {c |}{res}         23      37.70     100.00           
{txt}Missing .                    {c |}{res}         38      62.30                      
{txt}Total                        {c |}{res}         61     100.00                      
{txt}{hline 28}{hline 1}{c BT}{hline 44}

{com}.         
.         gen test_acinfexp_epol = (acinfexp_epol != .)
{txt}
{com}.         replace test_acinfexp_epol = . if asked_survey == 0 
{txt}(37 real changes made, 37 to missing)

{com}.         replace test_acinfexp_epol = . if elecpol_ovrsee == 0
{txt}(1 real change made, 1 to missing)

{com}.         fre test_acinfexp_epol
{res}
{txt}test_acinfexp_epol
{txt}{hline 9}{hline 1}{c TT}{hline 44}
{txt}        {txt}  {c |}      Freq.    Percent      Valid       Cum.
{txt}{hline 9}{hline 1}{c +}{hline 44}
{txt}Valid   1 {c |}{res}         23      37.70     100.00     100.00
{txt}Missing . {c |}{res}         38      62.30                      
{txt}Total     {c |}{res}         61     100.00                      
{txt}{hline 9}{hline 1}{c BT}{hline 44}

{com}.         assert inlist(test_acinfexp_epol,.,1)
{txt}
{com}.         
.         drop test_acinfexp_epol
{txt}
{com}.         
.         * acinfexp_apol
.         
.         lab var acinfexp_apol "Obtain detailed info about expenditures (app. politician)"
{txt}
{com}.         
.         fre acinfexp_apol
{res}
{txt}acinfexp_apol {hline 2} Obtain detailed info about expenditures (app. politician)
{txt}{hline 8}{hline 1}{c TT}{hline 44}
{txt}        {txt} {c |}      Freq.    Percent      Valid       Cum.
{txt}{hline 8}{hline 1}{c +}{hline 44}
{txt}Missing  {c |}{res}         61     100.00                      
{txt}{hline 8}{hline 1}{c BT}{hline 44}

{com}.         
.         replace acinfexp_apol = "1" if regexm(acinfexp_apol,"Very easy")
{txt}(0 real changes made)

{com}.         replace acinfexp_apol = "2" if regexm(acinfexp_apol,"Somewhat easy")
{txt}(0 real changes made)

{com}.         replace acinfexp_apol = "3" if regexm(acinfexp_apol,"Somewhat difficult")
{txt}(0 real changes made)

{com}.         replace acinfexp_apol = "4" if regexm(acinfexp_apol,"Very difficult")
{txt}(0 real changes made)

{com}.         replace acinfexp_apol = "5" if regexm(acinfexp_apol,"Not applicable")
{txt}(0 real changes made)

{com}.         replace acinfexp_apol = "6" if regexm(acinfexp_apol,"Do not know")
{txt}(0 real changes made)

{com}.         
.         destring acinfexp_apol, replace
{txt}acinfexp_apol: all characters numeric; {res}replaced {txt}as {res}byte
{txt}(61 missing values generated)
{res}{txt}
{com}.         lab def acinfexp_apol 1 "Very easy" 2 "Somewhat easy" 3 "Somewhat difficult" 4 "Very difficult" 5 "Not applicable, this level of government has no spending power" 6 "Do not know / Refuse to answer"
{txt}
{com}.         lab val acinfexp_apol acinfexp_apol
{txt}
{com}.         
.         fre acinfexp_apol
{res}
{txt}acinfexp_apol {hline 2} Obtain detailed info about expenditures (app. politician)
{txt}{hline 13}{hline 1}{c TT}{hline 44}
{txt}        {txt}      {c |}      Freq.    Percent      Valid       Cum.
{txt}{hline 13}{hline 1}{c +}{hline 44}
{txt}Missing .     {c |}{res}         61     100.00                      
{txt}{hline 13}{hline 1}{c BT}{hline 44}

{com}.         
.         gen test_acinfexp_apol = (acinfexp_apol != .)
{txt}
{com}.         replace test_acinfexp_apol = . if asked_survey == 0
{txt}(37 real changes made, 37 to missing)

{com}.         replace test_acinfexp_apol = . if aptpol_d == 0
{txt}(14 real changes made, 14 to missing)

{com}.         replace test_acinfexp_apol = . if elecpol_ovrsee == 1 
{txt}(10 real changes made, 10 to missing)

{com}.         fre test_acinfexp_apol
{res}
{txt}test_acinfexp_apol
{txt}{hline 9}{hline 1}{c TT}{hline 44}
{txt}        {txt}  {c |}      Freq.    Percent      Valid       Cum.
{txt}{hline 9}{hline 1}{c +}{hline 44}
{txt}Missing . {c |}{res}         61     100.00                      
{txt}{hline 9}{hline 1}{c BT}{hline 44}

{com}.         assert inlist(test_acinfexp_apol,.,1)
{txt}
{com}.         
.         drop test_acinfexp_apol
{txt}
{com}.         
.         * understand_epol
.         
.         lab var understand_epol "Has capacity to read/understand budget (elec. politician)"
{txt}
{com}.         
.         fre understand_epol
{res}
{txt}understand_epol {hline 2} Has capacity to read/understand budget (elec. politician)
{txt}{hline 28}{hline 1}{c TT}{hline 44}
{txt}        {txt}                     {c |}      Freq.    Percent      Valid       Cum.
{txt}{hline 28}{hline 1}{c +}{hline 44}
{txt}Valid   Definitely capable   {c |}{res}          1       1.64       5.26       5.26
{txt}        Only with difficulty {c |}{res}          2       3.28      10.53      15.79
{txt}        Somewhat capable     {c |}{res}          9      14.75      47.37      63.16
{txt}        Definitely capable   {c |}{res}          2       3.28      10.53      73.68
{txt}        Only with difficulty {c |}{res}          1       1.64       5.26      78.95
{txt}        Somewhat capable     {c |}{res}          4       6.56      21.05     100.00
{txt}        Total                {c |}{res}         19      31.15     100.00           
{txt}Missing                      {c |}{res}         42      68.85                      
{txt}Total                        {c |}{res}         61     100.00                      
{txt}{hline 28}{hline 1}{c BT}{hline 44}

{com}.         
.         replace understand_epol = "1" if regexm(understand_epol,"Definitely capable")
{txt}(3 real changes made)

{com}.         replace understand_epol = "2" if regexm(understand_epol,"Somewhat capable")
{txt}(13 real changes made)

{com}.         replace understand_epol = "3" if regexm(understand_epol,"Only with difficulty")
{txt}(3 real changes made)

{com}.         replace understand_epol = "4" if regexm(understand_epol,"Not capable")
{txt}(0 real changes made)

{com}.         replace understand_epol = "5" if regexm(understand_epol,"Do not know")
{txt}(0 real changes made)

{com}.         
.         fre understand_epol
{res}
{txt}understand_epol {hline 2} Has capacity to read/understand budget (elec. politician)
{txt}{hline 13}{hline 1}{c TT}{hline 44}
{txt}        {txt}      {c |}      Freq.    Percent      Valid       Cum.
{txt}{hline 13}{hline 1}{c +}{hline 44}
{txt}Valid   1     {c |}{res}          3       4.92      15.79      15.79
{txt}        2     {c |}{res}         13      21.31      68.42      84.21
{txt}        3     {c |}{res}          3       4.92      15.79     100.00
{txt}        Total {c |}{res}         19      31.15     100.00           
{txt}Missing       {c |}{res}         42      68.85                      
{txt}Total         {c |}{res}         61     100.00                      
{txt}{hline 13}{hline 1}{c BT}{hline 44}

{com}.         
.         destring understand_epol, replace
{txt}understand_epol: all characters numeric; {res}replaced {txt}as {res}byte
{txt}(42 missing values generated)
{res}{txt}
{com}.         lab def understand_epol 1 "Definitely capable" 2 "Somewhat capable" 3 "Only with difficulty" 4 "Not capable" 5 "Do not know / Refuse to answer"
{txt}
{com}.         lab val understand_epol understand_epol
{txt}
{com}.         
.         fre understand_epol
{res}
{txt}understand_epol {hline 2} Has capacity to read/understand budget (elec. politician)
{txt}{hline 30}{hline 1}{c TT}{hline 44}
{txt}        {txt}                       {c |}      Freq.    Percent      Valid       Cum.
{txt}{hline 30}{hline 1}{c +}{hline 44}
{txt}Valid   1 Definitely capable   {c |}{res}          3       4.92      15.79      15.79
{txt}        2 Somewhat capable     {c |}{res}         13      21.31      68.42      84.21
{txt}        3 Only with difficulty {c |}{res}          3       4.92      15.79     100.00
{txt}        Total                  {c |}{res}         19      31.15     100.00           
{txt}Missing .                      {c |}{res}         42      68.85                      
{txt}Total                          {c |}{res}         61     100.00                      
{txt}{hline 30}{hline 1}{c BT}{hline 44}

{com}.         
.         gen test_understand_epol = (understand_epol != .)
{txt}
{com}.         replace test_understand_epol = . if asked_survey == 0 
{txt}(37 real changes made, 37 to missing)

{com}.         replace test_understand_epol = . if elecpol_ovrsee == 0
{txt}(1 real change made, 1 to missing)

{com}.         fre test_understand_epol
{res}
{txt}test_understand_epol
{txt}{hline 13}{hline 1}{c TT}{hline 44}
{txt}        {txt}      {c |}      Freq.    Percent      Valid       Cum.
{txt}{hline 13}{hline 1}{c +}{hline 44}
{txt}Valid   0     {c |}{res}          4       6.56      17.39      17.39
{txt}        1     {c |}{res}         19      31.15      82.61     100.00
{txt}        Total {c |}{res}         23      37.70     100.00           
{txt}Missing .     {c |}{res}         38      62.30                      
{txt}Total         {c |}{res}         61     100.00                      
{txt}{hline 13}{hline 1}{c BT}{hline 44}

{com}.         assert inlist(test_understand_epol,.,1)
{txt}4 contradictions in 61 observations
{err}assertion is false
{txt}{search r(9), local:r(9);}

end of do-file

{search r(9), local:r(9);}

{com}. edit if test_understand_epol == 0

. do "/var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//SD44938.000000"
{txt}
{com}. 
.         * Purpose: Importing data to run HFC
.         
.         * Setting up globals
.         
.         if "`c(username)'" == "fredericcochinard" {c -(}
.                 
.                 global import_folder "/Users/fredericcochinard/Dropbox/Expert survey/Data/0.survey_dataset/0.import"
.                 global output "/Users/fredericcochinard/Dropbox/Expert survey/Data/0.survey_dataset/1.output"
.                 
.                 {c )-}
{txt}
{com}.                 
.         if "`c(username)'" == "" {c -(}
.         
.                 
.                 {c )-}
{txt}
{com}.         
.         * Looking for renaming folder with problem
.         
.         local myfiles: dir "$import_folder" files "*.xlsx"
{txt}
{com}. 
.         foreach file of local myfiles {c -(}
{txt}  2{com}.                 
.                 local subfile = substr("`file'", 1, .)
{txt}  3{com}.                 local subfile : subinstr local subfile " " "_", all
{txt}  4{com}.                 ! mv "${c -(}import_folder{c )-}/`file'" "${c -(}import_folder{c )-}/`subfile'"
{txt}  5{com}.                 
.                 {c )-}
{txt}

{com}.         
.         * Looking for dataset
.         
.         filelist , dir("$import_folder") pat("*.xlsx")
{res}{txt}Number of files found = {res}1
{txt}
{com}.         
.         gen url = filename
{txt}
{com}.         
.         levelsof url
{txt}`"Expert_survey_February_18,_2025_16.23.xlsx"'

{com}. 
.         local lvlfiles `r(levels)'
{txt}
{com}.         
.         local z = 0
{txt}
{com}.         
.         foreach lvl of local lvlfiles {c -(}
{txt}  2{com}.         
.                 local z = `z' + 1
{txt}  3{com}.                 
.                 local temp : subinstr local lvl `"""' "", all
{txt}  4{com}.                 local url : subinstr local temp "'" "", all
{txt}  5{com}.         
.                 import excel "${c -(}import_folder{c )-}/`url'", first case(lower) clear
{txt}  6{com}.                 
.                 gen num = _n
{txt}  7{com}.                 drop if num == 1
{txt}  8{com}.                 
.                 * Preparing the append
.                 
.                 tempfile data`z'
{txt}  9{com}.                 sa "`data`z''"
{txt} 10{com}.                 
.                 {c )-}
{res}{txt}(1 observation deleted)
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.000001 saved

{com}.                 
.         * We append the dataset to start cleaning
.         
.         use "`data1'", clear
{txt}
{com}.         
.         forvalues x = 2/`z' {c -(}
{txt}  2{com}.         
.                 append using "`data`x''"
{txt}  3{com}.                 
.                 {c )-}
{txt}
{com}.                 
.         duplicates drop

{p 0 4}{txt}Duplicates in terms of {txt} all variables{p_end}

(0 observations are duplicates)

{com}.         
.         * We keep relevant variable
.         drop if recipientemail == "frederic.cochinard@gmail.com"
{txt}(8 observations deleted)

{com}.         drop if recipientemail == "vedpant+spanish@college.harvard.edu"
{txt}(1 observation deleted)

{com}.         drop if recipientemail == "frederic.cochinard+3@gmail.com"
{txt}(1 observation deleted)

{com}.         drop if recipientemail == "frederic.cochinard+1@gmail.com"
{txt}(1 observation deleted)

{com}.         
.         * We remove observation that are not finished
.         drop if finished == "False"
{txt}(9 observations deleted)

{com}.         
.         * We create a save
.         
.         tempfile save_data
{txt}
{com}.         sa "`save_data'"
{txt}file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.000002 saved

{com}.         
.         ******************
.         * Payment module *
.         ******************
.         
.         preserve
{txt}
{com}.         
.         keep responseid method_pay_bank_in_q-q977
{txt}
{com}.         compress
  {txt}variable {bf}method_pay_bank_in_q{sf} was {bf}{res}str237{sf}{txt} now {bf}{res}str24{sf}
  {txt}variable {bf}expert_donation_org{sf} was {bf}{res}str129{sf}{txt} now {bf}{res}str23{sf}
  {txt}variable {bf}q967{sf} was {bf}{res}str236{sf}{txt} now {bf}{res}str65{sf}
  {txt}variable {bf}q978{sf} was {bf}{res}str326{sf}{txt} now {bf}{res}str16{sf}
  {txt}variable {bf}q979{sf} was {bf}{res}str104{sf}{txt} now {bf}{res}str39{sf}
  {txt}variable {bf}q980{sf} was {bf}{res}str95{sf}{txt} now {bf}{res}str11{sf}
  {txt}variable {bf}q987{sf} was {bf}{res}str170{sf}{txt} now {bf}{res}str24{sf}
  {txt}variable {bf}q984{sf} was {bf}{res}str326{sf}{txt} now {bf}{res}str1{sf}
  {txt}variable {bf}q985{sf} was {bf}{res}str104{sf}{txt} now {bf}{res}str1{sf}
  {txt}variable {bf}q986{sf} was {bf}{res}str95{sf}{txt} now {bf}{res}str1{sf}
  {txt}variable {bf}q988{sf} was {bf}{res}str170{sf}{txt} now {bf}{res}str1{sf}
  {txt}variable {bf}q989{sf} was {bf}{res}str559{sf}{txt} now {bf}{res}str1{sf}
  {txt}variable {bf}q990{sf} was {bf}{res}str102{sf}{txt} now {bf}{res}str1{sf}
  {txt}variable {bf}q991{sf} was {bf}{res}str93{sf}{txt} now {bf}{res}str1{sf}
  {txt}variable {bf}q992{sf} was {bf}{res}str170{sf}{txt} now {bf}{res}str1{sf}
  {txt}variable {bf}q998{sf} was {bf}{res}str537{sf}{txt} now {bf}{res}str1{sf}
  {txt}variable {bf}q997{sf} was {bf}{res}str105{sf}{txt} now {bf}{res}str1{sf}
  {txt}variable {bf}q999{sf} was {bf}{res}str104{sf}{txt} now {bf}{res}str1{sf}
  {txt}variable {bf}q1000{sf} was {bf}{res}str95{sf}{txt} now {bf}{res}str1{sf}
  {txt}variable {bf}q1001{sf} was {bf}{res}str170{sf}{txt} now {bf}{res}str1{sf}
  {txt}variable {bf}q977{sf} was {bf}{res}str502{sf}{txt} now {bf}{res}str23{sf}
{txt}  (46,101 bytes saved)

{com}.         
.         * Donate_d
.         
.         gen donate_d = 0
{txt}
{com}.         replace donate_d = 1 if method_pay_bank_in_q == "I prefer to donate"
{txt}(3 real changes made)

{com}.         
.         * Special case
.         replace donate_d = 1 if responseid == "R_4ouc7tR6BFj3gpb" // respondent is refusing to take money in comments
{txt}(1 real change made)

{com}.         replace donate_d = 1 if responseid == "R_4Iow7YzsoT2KTOx" // respondent is writing cancel in comments
{txt}(1 real change made)

{com}.         
.         lab var donate_d "Respondent decided to donate"
{txt}
{com}.         lab def donate_d 0 "No" 1 "Yes"
{txt}
{com}.         lab val donate_d donate_d
{txt}
{com}.         order donate_d, after(responseid)
{txt}
{com}.         
.         * Org
.         
.         gen org_donation_id = "" 
{txt}(11 missing values generated)

{com}.         replace org_donation_id = expert_donation_org if donate_d == 1
{txt}variable {bf}org_donation_id{sf} was {bf}{res}str1{sf}{txt} now {bf}{res}str23{sf}
{txt}(3 real changes made)

{com}.         replace org_donation_id = "No choice" if donate_d == 1 & org_donation_id == ""
{txt}(2 real changes made)

{com}.         lab var org_donation_id "Name of the organization the respondent chose to donate"
{txt}
{com}.         order org_donation_id, after(donate_d)
{txt}
{com}.         
.         * Paid status
.         
.         gen paid_status = 0
{txt}
{com}.         replace paid_status = 2 if donate_d == 1
{txt}(5 real changes made)

{com}.         
.         * Case of payment
.         
.         lab var paid_status "Status of payment of the respondent"
{txt}
{com}.         lab def paid_status 0 "Not yet" 1 "Yes" 2 "Donation"
{txt}
{com}.         lab val paid_status paid_status
{txt}
{com}.         order paid_status, after(org_donation_id)
{txt}
{com}.         
.         keep responseid donate_d org_donation_id paid_status
{txt}
{com}.         
.         tempfile payment_module
{txt}
{com}.         sa "`payment_module'"
{txt}file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.000004 saved

{com}.         
.         restore
{txt}
{com}.         
.         * Main form of survey 
.         keep country full_name recipientemail responseid progress durationinseconds finished userlanguage num_unit confirmation_* ///
>         title_bur* elecpol_ovrsee* title_elecpol* aptpol_d* title_aptpol* who_aptpol* mostinf_servdel* educ_elecpolbur* ///
>         educ_apolbur* slry_elecpolbur* slry_apolbur* fdout_epol_bgt* fdout_apol_bgt* budsect_epol* budsect_apol* acinfexp_epol* /// 
>         acinfexp_apol* understand_epol* understand_apol* acttake_epol* acttake_epol* acttake_apol* acttake_apol* likely* why_likchan* /// 
>         who_apt_bur* who_apt_bur* who_fir_bur* who_fir_bur* ocap_epol* ocap_apol* prio_epol* prio_apol* overall_conf* avg_educ_epol* ///
>         avg_educ_apol* avg_educ_buro* avg_slry_epol* avg_slry_apol* avg_slry_buro* //
{txt}
{com}.         
.         destring durationinseconds progress, replace
{txt}durationinseconds: all characters numeric; {res}replaced {txt}as {res}int
{txt}progress: all characters numeric; {res}replaced {txt}as {res}byte
{txt}
{com}.         replace durationinseconds = round(durationinseconds/60)
{txt}(11 real changes made)

{com}.         ren durationinseconds duration_minutes
{res}{txt}
{com}. 
.         *--
.         
.         local id country full_name recipientemail responseid userlanguage num_unit finished progress duration_minutes
{txt}
{com}.         
.         order `id', first
{txt}
{com}.         duplicates drop `id', force

{p 0 4}{txt}Duplicates in terms of {res} country full_name recipientemail responseid userlanguage num_unit finished progress duration_minutes{p_end}

{txt}(0 observations are duplicates)

{com}.         
.         * Renaming others
.         
.         forvalues x = 1/3 {c -(}
{txt}  2{com}.                 
.                 forvalues y = 1/6 {c -(} 
{txt}  3{com}.                 
.                         cap ren who_apt_bur_`x'_`y'_8_text who_apt_buroth_`x'_`y'
{txt}  4{com}.                         cap ren who_fir_bur_`x'_`y'_8_text who_fir_buroth_`x'_`y'
{txt}  5{com}.                         cap ren acttake_epol_`x'_`y'_9_text acttake_epoloth_`x'_`y'
{txt}  6{com}.                         cap ren acttake_apol_`x'_`y'_9_text acttake_apoloth_`x'_`y'
{txt}  7{com}.                         
.                         {c )-}
{txt}  8{com}.                         
.                 {c )-}
{txt}
{com}.         
.         #delimit ;
{txt}delimiter now ;
{com}.         local var confirmation
>         title_bur 
>         elecpol_ovrsee
>         title_elecpol
>         aptpol_d
>         title_aptpol
>         who_aptpol
>         mostinf_servdel
>         educ_elecpolbur
>         educ_apolbur
>         slry_elecpolbur
>         slry_apolbur
>         fdout_epol_bgt
>         fdout_apol_bgt
>         budsect_epol
>         budsect_apol
>         acinfexp_epol
>         acinfexp_apol
>         understand_epol
>         understand_apol
>         acttake_epol
>         acttake_epoloth
>         acttake_apol
>         acttake_apoloth
>         likely
>         why_likchan
>         who_apt_bur
>         who_apt_buroth
>         who_fir_bur
>         who_fir_buroth
>         ocap_epol
>         ocap_apol
>         prio_epol
>         prio_apol
>         overall_conf
>         avg_educ_epol
>         avg_educ_apol
>         avg_educ_buro
>         avg_slry_epol
>         avg_slry_apol
>         avg_slry_buro
>         
>         ;
{txt}
{com}.                 #delimit cr
{txt}delimiter now cr
{com}. 
.         reshape long `var', i(`id') j(pos) s
{txt}(note: j = _1_1 _1_4 _1_5 _1_6 _2_1 _2_2 _2_4 _2_5 _2_6 _3_1 _3_2 _3_3 _3_4 _3_5 _3_6)
(note: confirmation_1_4 not found)
(note: confirmation_1_5 not found)
(note: confirmation_1_6 not found)
(note: confirmation_2_4 not found)
(note: confirmation_2_5 not found)
(note: confirmation_2_6 not found)
(note: confirmation_3_4 not found)
(note: confirmation_3_5 not found)
(note: confirmation_3_6 not found)

Data{col 36}wide{col 43}->{col 48}long
{hline 77}
Number of obs.                 {res}      11   {txt}->{res}     165
{txt}Number of variables            {res}     615   {txt}->{res}      51
{txt}j variable (15 values)                    ->   {res}pos
{txt}xij variables:
{res}confirmation_1_1 confirmation_1_4 ... confirmation_3_6{txt}->{res}confirmation
title_bur_1_1 title_bur_1_4 ... title_bur_3_6{txt}->{res}title_bur
elecpol_ovrsee_1_1 elecpol_ovrsee_1_4 ... elecpol_ovrsee_3_6{txt}->{res}elecpol_ovrsee
title_elecpol_1_1 title_elecpol_1_4 ... title_elecpol_3_6{txt}->{res}title_elecpol
aptpol_d_1_1 aptpol_d_1_4 ... aptpol_d_3_6{txt}->   {res}aptpol_d
title_aptpol_1_1 title_aptpol_1_4 ... title_aptpol_3_6{txt}->{res}title_aptpol
who_aptpol_1_1 who_aptpol_1_4 ... who_aptpol_3_6{txt}->{res}who_aptpol
mostinf_servdel_1_1 mostinf_servdel_1_4 ... mostinf_servdel_3_6{txt}->{res}mostinf_servdel
educ_elecpolbur_1_1 educ_elecpolbur_1_4 ... educ_elecpolbur_3_6{txt}->{res}educ_elecpolbur
educ_apolbur_1_1 educ_apolbur_1_4 ... educ_apolbur_3_6{txt}->{res}educ_apolbur
slry_elecpolbur_1_1 slry_elecpolbur_1_4 ... slry_elecpolbur_3_6{txt}->{res}slry_elecpolbur
slry_apolbur_1_1 slry_apolbur_1_4 ... slry_apolbur_3_6{txt}->{res}slry_apolbur
fdout_epol_bgt_1_1 fdout_epol_bgt_1_4 ... fdout_epol_bgt_3_6{txt}->{res}fdout_epol_bgt
fdout_apol_bgt_1_1 fdout_apol_bgt_1_4 ... fdout_apol_bgt_3_6{txt}->{res}fdout_apol_bgt
budsect_epol_1_1 budsect_epol_1_4 ... budsect_epol_3_6{txt}->{res}budsect_epol
budsect_apol_1_1 budsect_apol_1_4 ... budsect_apol_3_6{txt}->{res}budsect_apol
acinfexp_epol_1_1 acinfexp_epol_1_4 ... acinfexp_epol_3_6{txt}->{res}acinfexp_epol
acinfexp_apol_1_1 acinfexp_apol_1_4 ... acinfexp_apol_3_6{txt}->{res}acinfexp_apol
understand_epol_1_1 understand_epol_1_4 ... understand_epol_3_6{txt}->{res}understand_epol
understand_apol_1_1 understand_apol_1_4 ... understand_apol_3_6{txt}->{res}understand_apol
acttake_epol_1_1 acttake_epol_1_4 ... acttake_epol_3_6{txt}->{res}acttake_epol
acttake_epoloth_1_1 acttake_epoloth_1_4 ... acttake_epoloth_3_6{txt}->{res}acttake_epoloth
acttake_apol_1_1 acttake_apol_1_4 ... acttake_apol_3_6{txt}->{res}acttake_apol
acttake_apoloth_1_1 acttake_apoloth_1_4 ... acttake_apoloth_3_6{txt}->{res}acttake_apoloth
   likely_1_1 likely_1_4 ... likely_3_6   {txt}->   {res}likely
why_likchan_1_1 why_likchan_1_4 ... why_likchan_3_6{txt}->{res}why_likchan
who_apt_bur_1_1 who_apt_bur_1_4 ... who_apt_bur_3_6{txt}->{res}who_apt_bur
who_apt_buroth_1_1 who_apt_buroth_1_4 ... who_apt_buroth_3_6{txt}->{res}who_apt_buroth
who_fir_bur_1_1 who_fir_bur_1_4 ... who_fir_bur_3_6{txt}->{res}who_fir_bur
who_fir_buroth_1_1 who_fir_buroth_1_4 ... who_fir_buroth_3_6{txt}->{res}who_fir_buroth
ocap_epol_1_1 ocap_epol_1_4 ... ocap_epol_3_6{txt}->{res}ocap_epol
ocap_apol_1_1 ocap_apol_1_4 ... ocap_apol_3_6{txt}->{res}ocap_apol
prio_epol_1_1 prio_epol_1_4 ... prio_epol_3_6{txt}->{res}prio_epol
prio_apol_1_1 prio_apol_1_4 ... prio_apol_3_6{txt}->{res}prio_apol
overall_conf_1_1 overall_conf_1_4 ... overall_conf_3_6{txt}->{res}overall_conf
avg_educ_epol_1_1 avg_educ_epol_1_4 ... avg_educ_epol_3_6{txt}->{res}avg_educ_epol
avg_educ_apol_1_1 avg_educ_apol_1_4 ... avg_educ_apol_3_6{txt}->{res}avg_educ_apol
avg_educ_buro_1_1 avg_educ_buro_1_4 ... avg_educ_buro_3_6{txt}->{res}avg_educ_buro
avg_slry_epol_1_1 avg_slry_epol_1_4 ... avg_slry_epol_3_6{txt}->{res}avg_slry_epol
avg_slry_apol_1_1 avg_slry_apol_1_4 ... avg_slry_apol_3_6{txt}->{res}avg_slry_apol
avg_slry_buro_1_1 avg_slry_buro_1_4 ... avg_slry_buro_3_6{txt}->{res}avg_slry_buro
{txt}{hline 77}

{com}.         
.         * Filter data
.         
.         split pos, p("_")
{res}variables created as string: 
{txt}{col 1}pos1{col 7}pos2{col 13}pos3

{com}.         
.         drop pos1
{txt}
{com}.         ren pos2 case_n_unit
{res}{txt}
{com}.         ren pos3 unit_num
{res}{txt}
{com}.         destring case_n_unit unit_num, replace
{txt}case_n_unit: all characters numeric; {res}replaced {txt}as {res}byte
{txt}unit_num: all characters numeric; {res}replaced {txt}as {res}byte
{txt}
{com}.         order case_n_unit unit_num, after(duration_minutes)
{txt}
{com}.         drop pos
{txt}
{com}.         
.         destring num_unit, replace
{txt}num_unit: all characters numeric; {res}replaced {txt}as {res}byte
{txt}
{com}.         drop if num_unit != case_n_unit
{txt}(104 observations deleted)

{com}.         drop num_unit
{txt}
{com}.         
.         compress
  {txt}variable {bf}country{sf} was {bf}{res}str15{sf}{txt} now {bf}{res}str11{sf}
  {txt}variable {bf}full_name{sf} was {bf}{res}str28{sf}{txt} now {bf}{res}str23{sf}
  {txt}variable {bf}recipientemail{sf} was {bf}{res}str35{sf}{txt} now {bf}{res}str32{sf}
  {txt}variable {bf}userlanguage{sf} was {bf}{res}str13{sf}{txt} now {bf}{res}str2{sf}
  {txt}variable {bf}finished{sf} was {bf}{res}str8{sf}{txt} now {bf}{res}str4{sf}
  {txt}variable {bf}title_bur{sf} was {bf}{res}str448{sf}{txt} now {bf}{res}str235{sf}
  {txt}variable {bf}elecpol_ovrsee{sf} was {bf}{res}str352{sf}{txt} now {bf}{res}str3{sf}
  {txt}variable {bf}title_elecpol{sf} was {bf}{res}str312{sf}{txt} now {bf}{res}str288{sf}
  {txt}variable {bf}aptpol_d{sf} was {bf}{res}str332{sf}{txt} now {bf}{res}str30{sf}
  {txt}variable {bf}who_aptpol{sf} was {bf}{res}str96{sf}{txt} now {bf}{res}str84{sf}
  {txt}variable {bf}mostinf_servdel{sf} was {bf}{res}str256{sf}{txt} now {bf}{res}str44{sf}
  {txt}variable {bf}educ_elecpolbur{sf} was {bf}{res}str258{sf}{txt} now {bf}{res}str51{sf}
  {txt}variable {bf}educ_apolbur{sf} was {bf}{res}str260{sf}{txt} now {bf}{res}str1{sf}
  {txt}variable {bf}slry_elecpolbur{sf} was {bf}{res}str316{sf}{txt} now {bf}{res}str47{sf}
  {txt}variable {bf}slry_apolbur{sf} was {bf}{res}str318{sf}{txt} now {bf}{res}str1{sf}
  {txt}variable {bf}fdout_epol_bgt{sf} was {bf}{res}str373{sf}{txt} now {bf}{res}str19{sf}
  {txt}variable {bf}fdout_apol_bgt{sf} was {bf}{res}str375{sf}{txt} now {bf}{res}str1{sf}
  {txt}variable {bf}budsect_epol{sf} was {bf}{res}str217{sf}{txt} now {bf}{res}str19{sf}
  {txt}variable {bf}budsect_apol{sf} was {bf}{res}str219{sf}{txt} now {bf}{res}str1{sf}
  {txt}variable {bf}acinfexp_epol{sf} was {bf}{res}str216{sf}{txt} now {bf}{res}str19{sf}
  {txt}variable {bf}acinfexp_apol{sf} was {bf}{res}str218{sf}{txt} now {bf}{res}str1{sf}
  {txt}variable {bf}understand_epol{sf} was {bf}{res}str214{sf}{txt} now {bf}{res}str21{sf}
  {txt}variable {bf}understand_apol{sf} was {bf}{res}str216{sf}{txt} now {bf}{res}str21{sf}
  {txt}variable {bf}acttake_epol{sf} was {bf}{res}str247{sf}{txt} now {bf}{res}str163{sf}
  {txt}variable {bf}acttake_epoloth{sf} was {bf}{res}str261{sf}{txt} now {bf}{res}str63{sf}
  {txt}variable {bf}acttake_apol{sf} was {bf}{res}str250{sf}{txt} now {bf}{res}str1{sf}
  {txt}variable {bf}acttake_apoloth{sf} was {bf}{res}str264{sf}{txt} now {bf}{res}str1{sf}
  {txt}variable {bf}likely{sf} was {bf}{res}str159{sf}{txt} now {bf}{res}str18{sf}
  {txt}variable {bf}who_apt_bur{sf} was {bf}{res}str126{sf}{txt} now {bf}{res}str64{sf}
  {txt}variable {bf}who_fir_bur{sf} was {bf}{res}str120{sf}{txt} now {bf}{res}str64{sf}
  {txt}variable {bf}who_fir_buroth{sf} was {bf}{res}str134{sf}{txt} now {bf}{res}str77{sf}
  {txt}variable {bf}ocap_epol{sf} was {bf}{res}str359{sf}{txt} now {bf}{res}str55{sf}
  {txt}variable {bf}ocap_apol{sf} was {bf}{res}str361{sf}{txt} now {bf}{res}str1{sf}
  {txt}variable {bf}prio_epol{sf} was {bf}{res}str209{sf}{txt} now {bf}{res}str73{sf}
  {txt}variable {bf}prio_apol{sf} was {bf}{res}str211{sf}{txt} now {bf}{res}str1{sf}
  {txt}variable {bf}overall_conf{sf} was {bf}{res}str191{sf}{txt} now {bf}{res}str17{sf}
  {txt}variable {bf}avg_educ_buro{sf} was {bf}{res}str117{sf}{txt} now {bf}{res}str101{sf}
  {txt}variable {bf}avg_slry_apol{sf} was {bf}{res}str134{sf}{txt} now {bf}{res}str128{sf}
  {txt}variable {bf}avg_slry_buro{sf} was {bf}{res}str134{sf}{txt} now {bf}{res}str87{sf}
  {txt}variable {bf}confirmation{sf} was {bf}{res}str1148{sf}{txt} now {bf}{res}str63{sf}
{txt}  (462,685 bytes saved)

{com}.         
.         * We edit the label 
.         
.         lab var country "Country"
{txt}
{com}.         lab var full_name  "Full name of recipient"
{txt}
{com}.         lab var recipientemail "Recipient email"
{txt}
{com}.         lab var userlanguage "Language used to answer"
{txt}
{com}.         lab var finished "Completion status"
{txt}
{com}.         lab var progress "Progress"
{txt}
{com}.         lab var duration_minutes "Duration in minutes"
{txt}
{com}.         lab var case_n_unit "Original number of entities"
{txt}
{com}.         lab var unit_num "Unit number"
{txt}
{com}.         
.         * Confirmation
.         
.         fre confirmation
{res}
{txt}confirmation
{txt}{hline 54}{hline 1}{c TT}{hline 44}
{txt}        {txt}                                               {c |}      Freq.    Percent      Valid       Cum.
{txt}{hline 54}{hline 1}{c +}{hline 44}
{txt}Valid   No, this is inaccurate. This level needs to be {c |}{res}          2       3.28       7.14       7.14
{txt}        replaced/deleted                               {c |}{res}                                            
{txt}        No, this level needs to be replaced/deleted    {c |}{res}          2       3.28       7.14      14.29
{txt}        Yes, this is accurate                          {c |}{res}         24      39.34      85.71     100.00
{txt}        Total                                          {c |}{res}         28      45.90     100.00           
{txt}Missing                                                {c |}{res}         33      54.10                      
{txt}Total                                                  {c |}{res}         61     100.00                      
{txt}{hline 54}{hline 1}{c BT}{hline 44}

{com}.         replace confirmation = "1" if confirmation == "Yes, this is accurate"
{txt}(24 real changes made)

{com}.         replace confirmation = "0" if regexm(confirmation,"No")
{txt}(4 real changes made)

{com}.         destring confirmation, replace
{txt}confirmation: all characters numeric; {res}replaced {txt}as {res}byte
{txt}(33 missing values generated)
{res}{txt}
{com}.         
.         lab var confirmation "Confirmation of adequacy of unit"
{txt}
{com}.         lab def confirmation 0 "No, this is not accurate. It should be replaced/deleted" 1 "Yes, this is accurate"
{txt}
{com}.         lab val confirmation confirmation
{txt}
{com}.         
.         fre confirmation
{res}
{txt}confirmation {hline 2} Confirmation of adequacy of unit
{txt}{hline 48}{hline 1}{c TT}{hline 44}
{txt}        {txt}                                         {c |}      Freq.    Percent      Valid       Cum.
{txt}{hline 48}{hline 1}{c +}{hline 44}
{txt}Valid   0 No, this is not accurate. It should be {c |}{res}          4       6.56      14.29      14.29
{txt}          replaced/deleted                       {c |}{res}                                            
{txt}        1 Yes, this is accurate                  {c |}{res}         24      39.34      85.71     100.00
{txt}        Total                                    {c |}{res}         28      45.90     100.00           
{txt}Missing .                                        {c |}{res}         33      54.10                      
{txt}Total                                            {c |}{res}         61     100.00                      
{txt}{hline 48}{hline 1}{c BT}{hline 44}

{com}.         
.         order confirmation, after(unit_num)
{txt}
{com}.         
.         * Creating variable about asked_survey (should be updated)
.         
.         gen asked_survey = 0
{txt}
{com}.         replace asked_survey = 1 if confirmation == 1
{txt}(24 real changes made)

{com}.         lab var asked_survey "Survey question asked to respondent"
{txt}
{com}.         lab def yesno 0 "No" 1 "Yes"
{txt}
{com}.         lab val asked_survey yesno
{txt}
{com}.         order asked_survey, after(confirmation)
{txt}
{com}.         
.         * title_bur
.         
.         lab var title_bur "Title of the highest-level bureaucrat in unit"
{txt}
{com}.         
.         gen test_title_bur = (title_bur != "")
{txt}
{com}.         replace test_title_bur = . if asked_survey == 0
{txt}(37 real changes made, 37 to missing)

{com}.         fre test_title_bur
{res}
{txt}test_title_bur
{txt}{hline 9}{hline 1}{c TT}{hline 44}
{txt}        {txt}  {c |}      Freq.    Percent      Valid       Cum.
{txt}{hline 9}{hline 1}{c +}{hline 44}
{txt}Valid   1 {c |}{res}         24      39.34     100.00     100.00
{txt}Missing . {c |}{res}         37      60.66                      
{txt}Total     {c |}{res}         61     100.00                      
{txt}{hline 9}{hline 1}{c BT}{hline 44}

{com}.         assert inlist(test_title_bur,.,1)
{txt}
{com}.         
.         drop test_title_bur
{txt}
{com}.         
.         * elecpol_ovrsee
.         
.         lab var elecpol_ovrsee "Any politicians in unit overseeing service delivery"
{txt}
{com}.         replace elecpol_ovrsee = "0" if elecpol_ovrsee == "No"
{txt}(2 real changes made)

{com}.         replace elecpol_ovrsee = "1" if elecpol_ovrsee == "Yes"
{txt}(23 real changes made)

{com}.         destring elecpol_ovrsee, replace
{txt}elecpol_ovrsee: all characters numeric; {res}replaced {txt}as {res}byte
{txt}(36 missing values generated)
{res}{txt}
{com}.         lab val elecpol_ovrsee yesno
{txt}
{com}.         
.         fre elecpol_ovrsee
{res}
{txt}elecpol_ovrsee {hline 2} Any politicians in unit overseeing service delivery
{txt}{hline 13}{hline 1}{c TT}{hline 44}
{txt}        {txt}      {c |}      Freq.    Percent      Valid       Cum.
{txt}{hline 13}{hline 1}{c +}{hline 44}
{txt}Valid   0 No  {c |}{res}          2       3.28       8.00       8.00
{txt}        1 Yes {c |}{res}         23      37.70      92.00     100.00
{txt}        Total {c |}{res}         25      40.98     100.00           
{txt}Missing .     {c |}{res}         36      59.02                      
{txt}Total         {c |}{res}         61     100.00                      
{txt}{hline 13}{hline 1}{c BT}{hline 44}

{com}.         
.         gen test_elecpol_ovrsee = (elecpol_ovrsee != .)
{txt}
{com}.         replace test_elecpol_ovrsee = . if asked_survey == 0
{txt}(37 real changes made, 37 to missing)

{com}.         fre test_elecpol_ovrsee
{res}
{txt}test_elecpol_ovrsee
{txt}{hline 9}{hline 1}{c TT}{hline 44}
{txt}        {txt}  {c |}      Freq.    Percent      Valid       Cum.
{txt}{hline 9}{hline 1}{c +}{hline 44}
{txt}Valid   1 {c |}{res}         24      39.34     100.00     100.00
{txt}Missing . {c |}{res}         37      60.66                      
{txt}Total     {c |}{res}         61     100.00                      
{txt}{hline 9}{hline 1}{c BT}{hline 44}

{com}.         assert inlist(test_elecpol_ovrsee,.,1)
{txt}
{com}.         
.         drop test_elecpol_ovrsee
{txt}
{com}.         
.         * title_elecpol
.         
.         lab var title_elecpol "Title of the highest-level elected politician in unit"
{txt}
{com}.         
.         gen test_title_elecpol = (title_elecpol != "")
{txt}
{com}.         replace test_title_elecpol = . if asked_survey == 0
{txt}(37 real changes made, 37 to missing)

{com}.         replace test_title_elecpol = . if elecpol_ovrsee == 0
{txt}(1 real change made, 1 to missing)

{com}.         fre test_title_elecpol
{res}
{txt}test_title_elecpol
{txt}{hline 9}{hline 1}{c TT}{hline 44}
{txt}        {txt}  {c |}      Freq.    Percent      Valid       Cum.
{txt}{hline 9}{hline 1}{c +}{hline 44}
{txt}Valid   1 {c |}{res}         23      37.70     100.00     100.00
{txt}Missing . {c |}{res}         38      62.30                      
{txt}Total     {c |}{res}         61     100.00                      
{txt}{hline 9}{hline 1}{c BT}{hline 44}

{com}.         assert inlist(test_title_elecpol,.,1)
{txt}
{com}.         
.         drop test_title_elecpol
{txt}
{com}.         
.         * aptpol_d
.         
.         fre aptpol_d
{res}
{txt}aptpol_d
{txt}{hline 38}{hline 1}{c TT}{hline 44}
{txt}        {txt}                               {c |}      Freq.    Percent      Valid       Cum.
{txt}{hline 38}{hline 1}{c +}{hline 44}
{txt}Valid   Do not know / Refuse to answer {c |}{res}          1       1.64       4.00       4.00
{txt}        No                             {c |}{res}         15      24.59      60.00      64.00
{txt}        Yes                            {c |}{res}          9      14.75      36.00     100.00
{txt}        Total                          {c |}{res}         25      40.98     100.00           
{txt}Missing                                {c |}{res}         36      59.02                      
{txt}Total                                  {c |}{res}         61     100.00                      
{txt}{hline 38}{hline 1}{c BT}{hline 44}

{com}.         
.         lab var aptpol_d "Politician appointed by higher politician in unit"
{txt}
{com}.         replace aptpol_d = "0" if aptpol_d == "No"
{txt}(15 real changes made)

{com}.         replace aptpol_d = "1" if aptpol_d == "Yes"
{txt}(9 real changes made)

{com}.         replace aptpol_d = "-98" if aptpol_d == "Do not know / Refuse to answer"
{txt}(1 real change made)

{com}.         destring aptpol_d, replace
{txt}aptpol_d: all characters numeric; {res}replaced {txt}as {res}byte
{txt}(36 missing values generated)
{res}{txt}
{com}.         lab val aptpol_d yesno
{txt}
{com}.         
.         fre aptpol_d
{res}
{txt}aptpol_d {hline 2} Politician appointed by higher politician in unit
{txt}{hline 15}{hline 1}{c TT}{hline 44}
{txt}        {txt}        {c |}      Freq.    Percent      Valid       Cum.
{txt}{hline 15}{hline 1}{c +}{hline 44}
{txt}Valid   -98     {c |}{res}          1       1.64       4.00       4.00
{txt}        0   No  {c |}{res}         15      24.59      60.00      64.00
{txt}        1   Yes {c |}{res}          9      14.75      36.00     100.00
{txt}        Total   {c |}{res}         25      40.98     100.00           
{txt}Missing .       {c |}{res}         36      59.02                      
{txt}Total           {c |}{res}         61     100.00                      
{txt}{hline 15}{hline 1}{c BT}{hline 44}

{com}.         
.         gen test_aptpol_d = (aptpol_d != .)
{txt}
{com}.         replace test_aptpol_d = . if asked_survey == 0
{txt}(37 real changes made, 37 to missing)

{com}.         fre test_aptpol_d
{res}
{txt}test_aptpol_d
{txt}{hline 9}{hline 1}{c TT}{hline 44}
{txt}        {txt}  {c |}      Freq.    Percent      Valid       Cum.
{txt}{hline 9}{hline 1}{c +}{hline 44}
{txt}Valid   1 {c |}{res}         24      39.34     100.00     100.00
{txt}Missing . {c |}{res}         37      60.66                      
{txt}Total     {c |}{res}         61     100.00                      
{txt}{hline 9}{hline 1}{c BT}{hline 44}

{com}.         assert inlist(test_aptpol_d,.,1)
{txt}
{com}.         
.         drop test_aptpol_d
{txt}
{com}.         
.         * pol_exist_d
.         
.         gen pol_exist_d = 0
{txt}
{com}.         replace pol_exist_d = 1 if aptpol_d == 1 | elecpol_ovrsee == 1
{txt}(23 real changes made)

{com}.         replace pol_exist_d = . if asked_survey == 0
{txt}(37 real changes made, 37 to missing)

{com}.         lab val pol_exist_d yesno
{txt}
{com}.         lab var pol_exist_d "1 if we have either an appointed or elected politician"
{txt}
{com}.         
.         fre pol_exist_d
{res}
{txt}pol_exist_d {hline 2} 1 if we have either an appointed or elected politician
{txt}{hline 13}{hline 1}{c TT}{hline 44}
{txt}        {txt}      {c |}      Freq.    Percent      Valid       Cum.
{txt}{hline 13}{hline 1}{c +}{hline 44}
{txt}Valid   0 No  {c |}{res}          1       1.64       4.17       4.17
{txt}        1 Yes {c |}{res}         23      37.70      95.83     100.00
{txt}        Total {c |}{res}         24      39.34     100.00           
{txt}Missing .     {c |}{res}         37      60.66                      
{txt}Total         {c |}{res}         61     100.00                      
{txt}{hline 13}{hline 1}{c BT}{hline 44}

{com}.         order pol_exist_d, after(aptpol_d)
{txt}
{com}.         
.         * title_aptpol
.         
.         lab var title_aptpol "Title of the highest-level appointed politician in unit"
{txt}
{com}.         
.         gen test_title_aptpol = (title_aptpol != "")
{txt}
{com}.         replace test_title_aptpol = . if asked_survey == 0 
{txt}(37 real changes made, 37 to missing)

{com}.         replace test_title_aptpol = . if aptpol_d == 0 | aptpol_d == -98
{txt}(15 real changes made, 15 to missing)

{com}.         fre test_title_aptpol
{res}
{txt}test_title_aptpol
{txt}{hline 9}{hline 1}{c TT}{hline 44}
{txt}        {txt}  {c |}      Freq.    Percent      Valid       Cum.
{txt}{hline 9}{hline 1}{c +}{hline 44}
{txt}Valid   1 {c |}{res}          9      14.75     100.00     100.00
{txt}Missing . {c |}{res}         52      85.25                      
{txt}Total     {c |}{res}         61     100.00                      
{txt}{hline 9}{hline 1}{c BT}{hline 44}

{com}.         assert inlist(test_title_aptpol,.,1)
{txt}
{com}.         
.         drop test_title_aptpol
{txt}
{com}.         
.         * who_aptpol
.         
.         lab var who_aptpol "Who appoints the highest-level appointed politician in unit"
{txt}
{com}.         
.         gen test_who_aptpol = (who_aptpol != "")
{txt}
{com}.         replace test_who_aptpol = . if asked_survey == 0 
{txt}(37 real changes made, 37 to missing)

{com}.         replace test_who_aptpol = . if aptpol_d == 0 | aptpol_d == -98
{txt}(15 real changes made, 15 to missing)

{com}.         fre test_who_aptpol
{res}
{txt}test_who_aptpol
{txt}{hline 9}{hline 1}{c TT}{hline 44}
{txt}        {txt}  {c |}      Freq.    Percent      Valid       Cum.
{txt}{hline 9}{hline 1}{c +}{hline 44}
{txt}Valid   1 {c |}{res}          9      14.75     100.00     100.00
{txt}Missing . {c |}{res}         52      85.25                      
{txt}Total     {c |}{res}         61     100.00                      
{txt}{hline 9}{hline 1}{c BT}{hline 44}

{com}.         assert inlist(test_who_aptpol,.,1)
{txt}
{com}.         
.         drop test_who_aptpol
{txt}
{com}.         
.         * mostinf_servdel
.         
.         lab var mostinf_servdel "More influential in determining quality of service"
{txt}
{com}.         
.         replace mostinf_servdel = "1" if regexm(mostinf_servdel,"Elected much more")
{txt}(5 real changes made)

{com}.         replace mostinf_servdel = "2" if regexm(mostinf_servdel,"Elected slightly more")
{txt}(0 real changes made)

{com}.         replace mostinf_servdel = "3" if regexm(mostinf_servdel,"About the same")
{txt}(1 real change made)

{com}.         replace mostinf_servdel = "4" if regexm(mostinf_servdel,"Appointed slightly more")
{txt}(0 real changes made)

{com}.         replace mostinf_servdel = "5" if regexm(mostinf_servdel,"Appointed much more")
{txt}(3 real changes made)

{com}.         destring mostinf_servdel, replace
{txt}mostinf_servdel: all characters numeric; {res}replaced {txt}as {res}byte
{txt}(52 missing values generated)
{res}{txt}
{com}.         lab def mostinf_servdel 1 "Elected much more influential" 2 "Elected slightly more influential" 3 "About the same" 4 "Appointed slightly more influential" 5 "Appointed much more influential"
{txt}
{com}.         lab val mostinf_servdel mostinf_servdel
{txt}
{com}.         
.         fre mostinf_servdel
{res}
{txt}mostinf_servdel {hline 2} More influential in determining quality of service
{txt}{hline 41}{hline 1}{c TT}{hline 44}
{txt}        {txt}                                  {c |}      Freq.    Percent      Valid       Cum.
{txt}{hline 41}{hline 1}{c +}{hline 44}
{txt}Valid   1 Elected much more influential   {c |}{res}          5       8.20      55.56      55.56
{txt}        3 About the same                  {c |}{res}          1       1.64      11.11      66.67
{txt}        5 Appointed much more influential {c |}{res}          3       4.92      33.33     100.00
{txt}        Total                             {c |}{res}          9      14.75     100.00           
{txt}Missing .                                 {c |}{res}         52      85.25                      
{txt}Total                                     {c |}{res}         61     100.00                      
{txt}{hline 41}{hline 1}{c BT}{hline 44}

{com}.         
.         gen test_mostinf_servdel = (mostinf_servdel != .)
{txt}
{com}.         replace test_mostinf_servdel = . if asked_survey == 0 
{txt}(37 real changes made, 37 to missing)

{com}.         replace test_mostinf_servdel = . if (inlist(aptpol_d,0,-98) | elecpol_ovrsee == 0)
{txt}(15 real changes made, 15 to missing)

{com}.         fre test_mostinf_servdel
{res}
{txt}test_mostinf_servdel
{txt}{hline 9}{hline 1}{c TT}{hline 44}
{txt}        {txt}  {c |}      Freq.    Percent      Valid       Cum.
{txt}{hline 9}{hline 1}{c +}{hline 44}
{txt}Valid   1 {c |}{res}          9      14.75     100.00     100.00
{txt}Missing . {c |}{res}         52      85.25                      
{txt}Total     {c |}{res}         61     100.00                      
{txt}{hline 9}{hline 1}{c BT}{hline 44}

{com}.         assert inlist(test_mostinf_servdel,.,1)
{txt}
{com}.         
.         drop test_mostinf_servdel
{txt}
{com}.         
.         * educ_elecpolbur
.         
.         lab var educ_elecpolbur "More educated bureaucrat or politician (elec. politician)"
{txt}
{com}.         
.         fre educ_elecpolbur
{res}
{txt}educ_elecpolbur {hline 2} More educated bureaucrat or politician (elec. politician)
{txt}{hline 55}{hline 1}{c TT}{hline 44}
{txt}        {txt}                                                {c |}      Freq.    Percent      Valid       Cum.
{txt}{hline 55}{hline 1}{c +}{hline 44}
{txt}Valid   About the same level of education               {c |}{res}          4       6.56      17.39      17.39
{txt}        Bureaucrats much more educated than Politicians {c |}{res}         13      21.31      56.52      73.91
{txt}        Bureaucrats slightly more educated than         {c |}{res}          6       9.84      26.09     100.00
{txt}        Politicians                                     {c |}{res}                                            
{txt}        Total                                           {c |}{res}         23      37.70     100.00           
{txt}Missing                                                 {c |}{res}         38      62.30                      
{txt}Total                                                   {c |}{res}         61     100.00                      
{txt}{hline 55}{hline 1}{c BT}{hline 44}

{com}.         
.         replace educ_elecpolbur = "1" if regexm(educ_elecpolbur,"Bureaucrats much more educated")
{txt}(13 real changes made)

{com}.         replace educ_elecpolbur = "2" if regexm(educ_elecpolbur,"Bureaucrats slightly more educated")
{txt}(6 real changes made)

{com}.         replace educ_elecpolbur = "3" if regexm(educ_elecpolbur,"About the same")
{txt}(4 real changes made)

{com}.         replace educ_elecpolbur = "4" if regexm(educ_elecpolbur,"Politicians slightly more educated")
{txt}(0 real changes made)

{com}.         replace educ_elecpolbur = "5" if regexm(educ_elecpolbur,"Politicians much more educated")
{txt}(0 real changes made)

{com}.         destring educ_elecpolbur, replace
{txt}educ_elecpolbur: all characters numeric; {res}replaced {txt}as {res}byte
{txt}(38 missing values generated)
{res}{txt}
{com}.         lab def educ_elecpolbur 1 "Bureaucrats much more educated" 2 "Bureaucrats slightly more educated" 3 "About the same" 4 "Politicians slightly more educated" 5 "Politicians much more educated"
{txt}
{com}.         lab val educ_elecpolbur educ_elecpolbur
{txt}
{com}.         
.         fre educ_elecpolbur
{res}
{txt}educ_elecpolbur {hline 2} More educated bureaucrat or politician (elec. politician)
{txt}{hline 44}{hline 1}{c TT}{hline 44}
{txt}        {txt}                                     {c |}      Freq.    Percent      Valid       Cum.
{txt}{hline 44}{hline 1}{c +}{hline 44}
{txt}Valid   1 Bureaucrats much more educated     {c |}{res}         13      21.31      56.52      56.52
{txt}        2 Bureaucrats slightly more educated {c |}{res}          6       9.84      26.09      82.61
{txt}        3 About the same                     {c |}{res}          4       6.56      17.39     100.00
{txt}        Total                                {c |}{res}         23      37.70     100.00           
{txt}Missing .                                    {c |}{res}         38      62.30                      
{txt}Total                                        {c |}{res}         61     100.00                      
{txt}{hline 44}{hline 1}{c BT}{hline 44}

{com}.         
.         gen test_educ_elecpolbur = (educ_elecpolbur != .)
{txt}
{com}.         replace test_educ_elecpolbur = . if asked_survey == 0 
{txt}(37 real changes made, 37 to missing)

{com}.         replace test_educ_elecpolbur = . if elecpol_ovrsee == 0
{txt}(1 real change made, 1 to missing)

{com}.         fre test_educ_elecpolbur
{res}
{txt}test_educ_elecpolbur
{txt}{hline 9}{hline 1}{c TT}{hline 44}
{txt}        {txt}  {c |}      Freq.    Percent      Valid       Cum.
{txt}{hline 9}{hline 1}{c +}{hline 44}
{txt}Valid   1 {c |}{res}         23      37.70     100.00     100.00
{txt}Missing . {c |}{res}         38      62.30                      
{txt}Total     {c |}{res}         61     100.00                      
{txt}{hline 9}{hline 1}{c BT}{hline 44}

{com}.         assert inlist(test_educ_elecpolbur,.,1)
{txt}
{com}.         
.         drop test_educ_elecpolbur
{txt}
{com}.         
.         * educ_apolbur
.         
.         lab var educ_apolbur "More educated bureaucrat or politician (app. politician) "
{txt}
{com}.         
.         fre educ_apolbur
{res}
{txt}educ_apolbur {hline 2} More educated bureaucrat or politician (app. politician) 
{txt}{hline 8}{hline 1}{c TT}{hline 44}
{txt}        {txt} {c |}      Freq.    Percent      Valid       Cum.
{txt}{hline 8}{hline 1}{c +}{hline 44}
{txt}Missing  {c |}{res}         61     100.00                      
{txt}{hline 8}{hline 1}{c BT}{hline 44}

{com}.         
.         replace educ_apolbur = "1" if regexm(educ_apolbur,"Bureaucrats much more educated")
{txt}(0 real changes made)

{com}.         replace educ_apolbur = "2" if regexm(educ_apolbur,"Bureaucrats slightly more educated")
{txt}(0 real changes made)

{com}.         replace educ_apolbur = "3" if regexm(educ_apolbur,"About the same")
{txt}(0 real changes made)

{com}.         replace educ_apolbur = "4" if regexm(educ_apolbur,"Politicians slightly more educated")
{txt}(0 real changes made)

{com}.         replace educ_apolbur = "5" if regexm(educ_apolbur,"Politicians much more educated")
{txt}(0 real changes made)

{com}.         destring educ_apolbur, replace
{txt}educ_apolbur: all characters numeric; {res}replaced {txt}as {res}byte
{txt}(61 missing values generated)
{res}{txt}
{com}.         lab def educ_apolbur 1 "Bureaucrats much more educated" 2 "Bureaucrats slightly more educated" 3 "About the same" 4 "Politicians slightly more educated" 5 "Politicians much more educated"
{txt}
{com}.         lab val educ_apolbur educ_apolbur
{txt}
{com}.         
.         fre educ_apolbur
{res}
{txt}educ_apolbur {hline 2} More educated bureaucrat or politician (app. politician) 
{txt}{hline 13}{hline 1}{c TT}{hline 44}
{txt}        {txt}      {c |}      Freq.    Percent      Valid       Cum.
{txt}{hline 13}{hline 1}{c +}{hline 44}
{txt}Missing .     {c |}{res}         61     100.00                      
{txt}{hline 13}{hline 1}{c BT}{hline 44}

{com}.         
.         gen test_educ_apolbur = (educ_apolbur != .)
{txt}
{com}.         replace test_educ_apolbur = . if asked_survey == 0
{txt}(37 real changes made, 37 to missing)

{com}.         replace test_educ_apolbur = . if aptpol_d == 0
{txt}(14 real changes made, 14 to missing)

{com}.         replace test_educ_apolbur = . if elecpol_ovrsee == 1 
{txt}(10 real changes made, 10 to missing)

{com}.         fre test_educ_apolbur
{res}
{txt}test_educ_apolbur
{txt}{hline 9}{hline 1}{c TT}{hline 44}
{txt}        {txt}  {c |}      Freq.    Percent      Valid       Cum.
{txt}{hline 9}{hline 1}{c +}{hline 44}
{txt}Missing . {c |}{res}         61     100.00                      
{txt}{hline 9}{hline 1}{c BT}{hline 44}

{com}.         assert inlist(test_educ_apolbur,.,1)
{txt}
{com}.         
.         drop test_educ_apolbur
{txt}
{com}.         
.         * slry_elecpolbur
.         
.         lab var slry_elecpolbur "Earning more bureaucrat or politician (elec. politician)"
{txt}
{com}.         
.         fre slry_elecpolbur
{res}
{txt}slry_elecpolbur {hline 2} Earning more bureaucrat or politician (elec. politician)
{txt}{hline 55}{hline 1}{c TT}{hline 44}
{txt}        {txt}                                                {c |}      Freq.    Percent      Valid       Cum.
{txt}{hline 55}{hline 1}{c +}{hline 44}
{txt}Valid   Both earn about the same                        {c |}{res}          4       6.56      17.39      17.39
{txt}        Bureaucrats earn much more than Politicians     {c |}{res}          5       8.20      21.74      39.13
{txt}        Bureaucrats earn slightly more than Politicians {c |}{res}          3       4.92      13.04      52.17
{txt}        Politicians earn much more than Bureaucrats     {c |}{res}          6       9.84      26.09      78.26
{txt}        Politicians earn slightly more than Bureaucrats {c |}{res}          5       8.20      21.74     100.00
{txt}        Total                                           {c |}{res}         23      37.70     100.00           
{txt}Missing                                                 {c |}{res}         38      62.30                      
{txt}Total                                                   {c |}{res}         61     100.00                      
{txt}{hline 55}{hline 1}{c BT}{hline 44}

{com}.         
.         replace slry_elecpolbur = "1" if regexm(slry_elecpolbur,"Bureaucrats earn much")
{txt}(5 real changes made)

{com}.         replace slry_elecpolbur = "2" if regexm(slry_elecpolbur,"Bureaucrats earn slightly")
{txt}(3 real changes made)

{com}.         replace slry_elecpolbur = "3" if regexm(slry_elecpolbur,"Both earn")
{txt}(4 real changes made)

{com}.         replace slry_elecpolbur = "4" if regexm(slry_elecpolbur,"Politicians earn slightly")
{txt}(5 real changes made)

{com}.         replace slry_elecpolbur = "5" if regexm(slry_elecpolbur,"Politicians earn much")
{txt}(6 real changes made)

{com}.         destring slry_elecpolbur, replace
{txt}slry_elecpolbur: all characters numeric; {res}replaced {txt}as {res}byte
{txt}(38 missing values generated)
{res}{txt}
{com}.         lab def slry_elecpolbur 1 "Bureaucrats earn much more" 2 "Bureaucrats earn slightly more" 3 "Both earn the same" 4 "Politicians earn slightly" 5 "Politicians earn much more"
{txt}
{com}.         lab val slry_elecpolbur slry_elecpolbur
{txt}
{com}.         
.         fre slry_elecpolbur
{res}
{txt}slry_elecpolbur {hline 2} Earning more bureaucrat or politician (elec. politician)
{txt}{hline 40}{hline 1}{c TT}{hline 44}
{txt}        {txt}                                 {c |}      Freq.    Percent      Valid       Cum.
{txt}{hline 40}{hline 1}{c +}{hline 44}
{txt}Valid   1 Bureaucrats earn much more     {c |}{res}          5       8.20      21.74      21.74
{txt}        2 Bureaucrats earn slightly more {c |}{res}          3       4.92      13.04      34.78
{txt}        3 Both earn the same             {c |}{res}          4       6.56      17.39      52.17
{txt}        4 Politicians earn slightly      {c |}{res}          5       8.20      21.74      73.91
{txt}        5 Politicians earn much more     {c |}{res}          6       9.84      26.09     100.00
{txt}        Total                            {c |}{res}         23      37.70     100.00           
{txt}Missing .                                {c |}{res}         38      62.30                      
{txt}Total                                    {c |}{res}         61     100.00                      
{txt}{hline 40}{hline 1}{c BT}{hline 44}

{com}.         
.         gen test_slry_elecpolbur = (slry_elecpolbur != .)
{txt}
{com}.         replace test_slry_elecpolbur = . if asked_survey == 0 
{txt}(37 real changes made, 37 to missing)

{com}.         replace test_slry_elecpolbur = . if elecpol_ovrsee == 0
{txt}(1 real change made, 1 to missing)

{com}.         fre test_slry_elecpolbur
{res}
{txt}test_slry_elecpolbur
{txt}{hline 9}{hline 1}{c TT}{hline 44}
{txt}        {txt}  {c |}      Freq.    Percent      Valid       Cum.
{txt}{hline 9}{hline 1}{c +}{hline 44}
{txt}Valid   1 {c |}{res}         23      37.70     100.00     100.00
{txt}Missing . {c |}{res}         38      62.30                      
{txt}Total     {c |}{res}         61     100.00                      
{txt}{hline 9}{hline 1}{c BT}{hline 44}

{com}.         assert inlist(test_slry_elecpolbur,.,1)
{txt}
{com}.         
.         drop test_slry_elecpolbur
{txt}
{com}.         
.         * slry_apolbur
.         
.         lab var slry_apolbur "Earning more bureaucrat or politician (app. politician)"
{txt}
{com}.         
.         fre slry_apolbur
{res}
{txt}slry_apolbur {hline 2} Earning more bureaucrat or politician (app. politician)
{txt}{hline 8}{hline 1}{c TT}{hline 44}
{txt}        {txt} {c |}      Freq.    Percent      Valid       Cum.
{txt}{hline 8}{hline 1}{c +}{hline 44}
{txt}Missing  {c |}{res}         61     100.00                      
{txt}{hline 8}{hline 1}{c BT}{hline 44}

{com}.         
.         replace slry_apolbur = "1" if regexm(slry_apolbur,"Bureaucrats earn much")
{txt}(0 real changes made)

{com}.         replace slry_apolbur = "2" if regexm(slry_apolbur,"Bureaucrats earn slightly")
{txt}(0 real changes made)

{com}.         replace slry_apolbur = "3" if regexm(slry_apolbur,"Both earn")
{txt}(0 real changes made)

{com}.         replace slry_apolbur = "4" if regexm(slry_apolbur,"Politicians earn slightly")
{txt}(0 real changes made)

{com}.         replace slry_apolbur = "5" if regexm(slry_apolbur,"Politicians earn much")
{txt}(0 real changes made)

{com}.         destring slry_apolbur, replace
{txt}slry_apolbur: all characters numeric; {res}replaced {txt}as {res}byte
{txt}(61 missing values generated)
{res}{txt}
{com}.         lab def slry_apolbur 1 "Bureaucrats earn much more" 2 "Bureaucrats earn slightly more" 3 "Both earn the same" 4 "Politicians earn slightly" 5 "Politicians earn much more"
{txt}
{com}.         lab val slry_apolbur slry_apolbur
{txt}
{com}.         
.         fre slry_apolbur
{res}
{txt}slry_apolbur {hline 2} Earning more bureaucrat or politician (app. politician)
{txt}{hline 13}{hline 1}{c TT}{hline 44}
{txt}        {txt}      {c |}      Freq.    Percent      Valid       Cum.
{txt}{hline 13}{hline 1}{c +}{hline 44}
{txt}Missing .     {c |}{res}         61     100.00                      
{txt}{hline 13}{hline 1}{c BT}{hline 44}

{com}.         
.         gen test_slry_apolbur = (slry_apolbur != .)
{txt}
{com}.         replace test_slry_apolbur = . if asked_survey == 0
{txt}(37 real changes made, 37 to missing)

{com}.         replace test_slry_apolbur = . if aptpol_d == 0
{txt}(14 real changes made, 14 to missing)

{com}.         replace test_slry_apolbur = . if elecpol_ovrsee == 1 
{txt}(10 real changes made, 10 to missing)

{com}.         fre test_slry_apolbur
{res}
{txt}test_slry_apolbur
{txt}{hline 9}{hline 1}{c TT}{hline 44}
{txt}        {txt}  {c |}      Freq.    Percent      Valid       Cum.
{txt}{hline 9}{hline 1}{c +}{hline 44}
{txt}Missing . {c |}{res}         61     100.00                      
{txt}{hline 9}{hline 1}{c BT}{hline 44}

{com}.         assert inlist(test_slry_apolbur,.,1)
{txt}
{com}.         
.         drop test_slry_apolbur
{txt}
{com}.         
.         * We merge the payment module
.         
.         merge m:1 responseid using "`payment_module'"
{res}
{txt}{col 5}Result{col 38}# of obs.
{col 5}{hline 41}
{col 5}not matched{col 30}{res}               0
{txt}{col 5}matched{col 30}{res}              61{txt}  (_merge==3)
{col 5}{hline 41}

{com}.         drop _merge
{txt}
{com}.         order donate_d org_donation_id paid_status, after(duration_minutes)
{txt}
{com}.         
.         * fdout_epol_bgt
.         
.         lab var fdout_epol_bgt "Easy to find out about envelop (elec. politician)"
{txt}
{com}.         
.         fre fdout_epol_bgt
{res}
{txt}fdout_epol_bgt {hline 2} Easy to find out about envelop (elec. politician)
{txt}{hline 26}{hline 1}{c TT}{hline 44}
{txt}        {txt}                   {c |}      Freq.    Percent      Valid       Cum.
{txt}{hline 26}{hline 1}{c +}{hline 44}
{txt}Valid   Somewhat difficult {c |}{res}          3       4.92      13.04      13.04
{txt}        Somewhat easy      {c |}{res}          6       9.84      26.09      39.13
{txt}        Very easy          {c |}{res}         14      22.95      60.87     100.00
{txt}        Total              {c |}{res}         23      37.70     100.00           
{txt}Missing                    {c |}{res}         38      62.30                      
{txt}Total                      {c |}{res}         61     100.00                      
{txt}{hline 26}{hline 1}{c BT}{hline 44}

{com}.         
.         replace fdout_epol_bgt = "1" if regexm(fdout_epol_bgt,"Very easy")
{txt}(14 real changes made)

{com}.         replace fdout_epol_bgt = "2" if regexm(fdout_epol_bgt,"Somewhat easy")
{txt}(6 real changes made)

{com}.         replace fdout_epol_bgt = "3" if regexm(fdout_epol_bgt,"Somewhat difficult")
{txt}(3 real changes made)

{com}.         replace fdout_epol_bgt = "4" if regexm(fdout_epol_bgt,"Very difficult")
{txt}(0 real changes made)

{com}.         replace fdout_epol_bgt = "5" if regexm(fdout_epol_bgt,"Not applicable")
{txt}(0 real changes made)

{com}.         replace fdout_epol_bgt = "6" if regexm(fdout_epol_bgt,"Do not know")
{txt}(0 real changes made)

{com}.         
.         destring fdout_epol_bgt, replace
{txt}fdout_epol_bgt: all characters numeric; {res}replaced {txt}as {res}byte
{txt}(38 missing values generated)
{res}{txt}
{com}.         lab def fdout_epol_bgt 1 "Very easy" 2 "Somewhat easy" 3 "Somewhat difficult" 4 "Very difficult" 5 "Not applicable, this level of government has no spending power" 6 "Do not know / Refuse to answer"
{txt}
{com}.         lab val fdout_epol_bgt fdout_epol_bgt
{txt}
{com}.         
.         fre fdout_epol_bgt
{res}
{txt}fdout_epol_bgt {hline 2} Easy to find out about envelop (elec. politician)
{txt}{hline 28}{hline 1}{c TT}{hline 44}
{txt}        {txt}                     {c |}      Freq.    Percent      Valid       Cum.
{txt}{hline 28}{hline 1}{c +}{hline 44}
{txt}Valid   1 Very easy          {c |}{res}         14      22.95      60.87      60.87
{txt}        2 Somewhat easy      {c |}{res}          6       9.84      26.09      86.96
{txt}        3 Somewhat difficult {c |}{res}          3       4.92      13.04     100.00
{txt}        Total                {c |}{res}         23      37.70     100.00           
{txt}Missing .                    {c |}{res}         38      62.30                      
{txt}Total                        {c |}{res}         61     100.00                      
{txt}{hline 28}{hline 1}{c BT}{hline 44}

{com}.         
.         gen test_fdout_epol_bgt = (fdout_epol_bgt != .)
{txt}
{com}.         replace test_fdout_epol_bgt = . if asked_survey == 0 
{txt}(37 real changes made, 37 to missing)

{com}.         replace test_fdout_epol_bgt = . if elecpol_ovrsee == 0
{txt}(1 real change made, 1 to missing)

{com}.         fre test_fdout_epol_bgt
{res}
{txt}test_fdout_epol_bgt
{txt}{hline 9}{hline 1}{c TT}{hline 44}
{txt}        {txt}  {c |}      Freq.    Percent      Valid       Cum.
{txt}{hline 9}{hline 1}{c +}{hline 44}
{txt}Valid   1 {c |}{res}         23      37.70     100.00     100.00
{txt}Missing . {c |}{res}         38      62.30                      
{txt}Total     {c |}{res}         61     100.00                      
{txt}{hline 9}{hline 1}{c BT}{hline 44}

{com}.         assert inlist(test_fdout_epol_bgt,.,1)
{txt}
{com}.         
.         drop test_fdout_epol_bgt
{txt}
{com}.         
.         * fdout_apol_bgt
.         
.         lab var fdout_apol_bgt "Easy to find out about envelop (app. politician)"
{txt}
{com}.         
.         fre fdout_apol_bgt
{res}
{txt}fdout_apol_bgt {hline 2} Easy to find out about envelop (app. politician)
{txt}{hline 8}{hline 1}{c TT}{hline 44}
{txt}        {txt} {c |}      Freq.    Percent      Valid       Cum.
{txt}{hline 8}{hline 1}{c +}{hline 44}
{txt}Missing  {c |}{res}         61     100.00                      
{txt}{hline 8}{hline 1}{c BT}{hline 44}

{com}.         
.         replace fdout_apol_bgt = "1" if regexm(fdout_apol_bgt,"Very easy")
{txt}(0 real changes made)

{com}.         replace fdout_apol_bgt = "2" if regexm(fdout_apol_bgt,"Somewhat easy")
{txt}(0 real changes made)

{com}.         replace fdout_apol_bgt = "3" if regexm(fdout_apol_bgt,"Somewhat difficult")
{txt}(0 real changes made)

{com}.         replace fdout_apol_bgt = "4" if regexm(fdout_apol_bgt,"Very difficult")
{txt}(0 real changes made)

{com}.         replace fdout_apol_bgt = "5" if regexm(fdout_apol_bgt,"Not applicable")
{txt}(0 real changes made)

{com}.         replace fdout_apol_bgt = "6" if regexm(fdout_apol_bgt,"Do not know")
{txt}(0 real changes made)

{com}.         
.         destring fdout_apol_bgt, replace
{txt}fdout_apol_bgt: all characters numeric; {res}replaced {txt}as {res}byte
{txt}(61 missing values generated)
{res}{txt}
{com}.         lab def fdout_apol_bgt 1 "Very easy" 2 "Somewhat easy" 3 "Somewhat difficult" 4 "Very difficult" 5 "Not applicable, this level of government has no spending power" 6 "Do not know / Refuse to answer"
{txt}
{com}.         lab val fdout_apol_bgt fdout_apol_bgt
{txt}
{com}.         
.         fre fdout_apol_bgt
{res}
{txt}fdout_apol_bgt {hline 2} Easy to find out about envelop (app. politician)
{txt}{hline 13}{hline 1}{c TT}{hline 44}
{txt}        {txt}      {c |}      Freq.    Percent      Valid       Cum.
{txt}{hline 13}{hline 1}{c +}{hline 44}
{txt}Missing .     {c |}{res}         61     100.00                      
{txt}{hline 13}{hline 1}{c BT}{hline 44}

{com}.         
.         gen test_fdout_apol_bgt = (fdout_apol_bgt != .)
{txt}
{com}.         replace test_fdout_apol_bgt = . if asked_survey == 0
{txt}(37 real changes made, 37 to missing)

{com}.         replace test_fdout_apol_bgt = . if aptpol_d == 0
{txt}(14 real changes made, 14 to missing)

{com}.         replace test_fdout_apol_bgt = . if elecpol_ovrsee == 1 
{txt}(10 real changes made, 10 to missing)

{com}.         fre test_fdout_apol_bgt
{res}
{txt}test_fdout_apol_bgt
{txt}{hline 9}{hline 1}{c TT}{hline 44}
{txt}        {txt}  {c |}      Freq.    Percent      Valid       Cum.
{txt}{hline 9}{hline 1}{c +}{hline 44}
{txt}Missing . {c |}{res}         61     100.00                      
{txt}{hline 9}{hline 1}{c BT}{hline 44}

{com}.         assert inlist(test_fdout_apol_bgt,.,1)
{txt}
{com}.         
.         drop test_fdout_apol_bgt
{txt}
{com}.         
.         * budsect_epol
.         
.         lab var budsect_epol "Find about budget allocation to sectors (elec. politician)"
{txt}
{com}.         
.         fre budsect_epol
{res}
{txt}budsect_epol {hline 2} Find about budget allocation to sectors (elec. politician)
{txt}{hline 26}{hline 1}{c TT}{hline 44}
{txt}        {txt}                   {c |}      Freq.    Percent      Valid       Cum.
{txt}{hline 26}{hline 1}{c +}{hline 44}
{txt}Valid   Somewhat difficult {c |}{res}          2       3.28       8.70       8.70
{txt}        Somewhat easy      {c |}{res}          4       6.56      17.39      26.09
{txt}        Very difficult     {c |}{res}          1       1.64       4.35      30.43
{txt}        Very easy          {c |}{res}          9      14.75      39.13      69.57
{txt}        Somewhat easy      {c |}{res}          1       1.64       4.35      73.91
{txt}        Very easy          {c |}{res}          6       9.84      26.09     100.00
{txt}        Total              {c |}{res}         23      37.70     100.00           
{txt}Missing                    {c |}{res}         38      62.30                      
{txt}Total                      {c |}{res}         61     100.00                      
{txt}{hline 26}{hline 1}{c BT}{hline 44}

{com}.         
.         replace budsect_epol = "1" if regexm(budsect_epol,"Very easy")
{txt}(15 real changes made)

{com}.         replace budsect_epol = "2" if regexm(budsect_epol,"Somewhat easy")
{txt}(5 real changes made)

{com}.         replace budsect_epol = "3" if regexm(budsect_epol,"Somewhat difficult")
{txt}(2 real changes made)

{com}.         replace budsect_epol = "4" if regexm(budsect_epol,"Very difficult")
{txt}(1 real change made)

{com}.         replace budsect_epol = "5" if regexm(budsect_epol,"Not applicable")
{txt}(0 real changes made)

{com}.         replace budsect_epol = "6" if regexm(budsect_epol,"Do not know")
{txt}(0 real changes made)

{com}.         
.         destring budsect_epol, replace
{txt}budsect_epol: all characters numeric; {res}replaced {txt}as {res}byte
{txt}(38 missing values generated)
{res}{txt}
{com}.         lab def budsect_epol 1 "Very easy" 2 "Somewhat easy" 3 "Somewhat difficult" 4 "Very difficult" 5 "Not applicable, this level of government has no spending power" 6 "Do not know / Refuse to answer"
{txt}
{com}.         lab val budsect_epol budsect_epol
{txt}
{com}.         
.         fre budsect_epol
{res}
{txt}budsect_epol {hline 2} Find about budget allocation to sectors (elec. politician)
{txt}{hline 28}{hline 1}{c TT}{hline 44}
{txt}        {txt}                     {c |}      Freq.    Percent      Valid       Cum.
{txt}{hline 28}{hline 1}{c +}{hline 44}
{txt}Valid   1 Very easy          {c |}{res}         15      24.59      65.22      65.22
{txt}        2 Somewhat easy      {c |}{res}          5       8.20      21.74      86.96
{txt}        3 Somewhat difficult {c |}{res}          2       3.28       8.70      95.65
{txt}        4 Very difficult     {c |}{res}          1       1.64       4.35     100.00
{txt}        Total                {c |}{res}         23      37.70     100.00           
{txt}Missing .                    {c |}{res}         38      62.30                      
{txt}Total                        {c |}{res}         61     100.00                      
{txt}{hline 28}{hline 1}{c BT}{hline 44}

{com}.         
.         gen test_budsect_epol = (budsect_epol != .)
{txt}
{com}.         replace test_budsect_epol = . if asked_survey == 0 
{txt}(37 real changes made, 37 to missing)

{com}.         replace test_budsect_epol = . if elecpol_ovrsee == 0
{txt}(1 real change made, 1 to missing)

{com}.         fre test_budsect_epol
{res}
{txt}test_budsect_epol
{txt}{hline 9}{hline 1}{c TT}{hline 44}
{txt}        {txt}  {c |}      Freq.    Percent      Valid       Cum.
{txt}{hline 9}{hline 1}{c +}{hline 44}
{txt}Valid   1 {c |}{res}         23      37.70     100.00     100.00
{txt}Missing . {c |}{res}         38      62.30                      
{txt}Total     {c |}{res}         61     100.00                      
{txt}{hline 9}{hline 1}{c BT}{hline 44}

{com}.         assert inlist(test_budsect_epol,.,1)
{txt}
{com}.         
.         drop test_budsect_epol
{txt}
{com}.         
.         * budsect_apol
.         
.         lab var budsect_apol "Find about budget allocation to sectors (app. politician)"
{txt}
{com}.         
.         fre budsect_apol
{res}
{txt}budsect_apol {hline 2} Find about budget allocation to sectors (app. politician)
{txt}{hline 8}{hline 1}{c TT}{hline 44}
{txt}        {txt} {c |}      Freq.    Percent      Valid       Cum.
{txt}{hline 8}{hline 1}{c +}{hline 44}
{txt}Missing  {c |}{res}         61     100.00                      
{txt}{hline 8}{hline 1}{c BT}{hline 44}

{com}.         
.         replace budsect_apol = "1" if regexm(budsect_apol,"Very easy")
{txt}(0 real changes made)

{com}.         replace budsect_apol = "2" if regexm(budsect_apol,"Somewhat easy")
{txt}(0 real changes made)

{com}.         replace budsect_apol = "3" if regexm(budsect_apol,"Somewhat difficult")
{txt}(0 real changes made)

{com}.         replace budsect_apol = "4" if regexm(budsect_apol,"Very difficult")
{txt}(0 real changes made)

{com}.         replace budsect_apol = "5" if regexm(budsect_apol,"Not applicable")
{txt}(0 real changes made)

{com}.         replace budsect_apol = "6" if regexm(budsect_apol,"Do not know")
{txt}(0 real changes made)

{com}.         
.         destring budsect_apol, replace
{txt}budsect_apol: all characters numeric; {res}replaced {txt}as {res}byte
{txt}(61 missing values generated)
{res}{txt}
{com}.         lab def budsect_apol 1 "Very easy" 2 "Somewhat easy" 3 "Somewhat difficult" 4 "Very difficult" 5 "Not applicable, this level of government has no spending power" 6 "Do not know / Refuse to answer"
{txt}
{com}.         lab val budsect_apol budsect_apol
{txt}
{com}.         
.         fre budsect_apol
{res}
{txt}budsect_apol {hline 2} Find about budget allocation to sectors (app. politician)
{txt}{hline 13}{hline 1}{c TT}{hline 44}
{txt}        {txt}      {c |}      Freq.    Percent      Valid       Cum.
{txt}{hline 13}{hline 1}{c +}{hline 44}
{txt}Missing .     {c |}{res}         61     100.00                      
{txt}{hline 13}{hline 1}{c BT}{hline 44}

{com}.         
.         gen test_budsect_apol = (budsect_apol != .)
{txt}
{com}.         replace test_budsect_apol = . if asked_survey == 0
{txt}(37 real changes made, 37 to missing)

{com}.         replace test_budsect_apol = . if aptpol_d == 0
{txt}(14 real changes made, 14 to missing)

{com}.         replace test_budsect_apol = . if elecpol_ovrsee == 1 
{txt}(10 real changes made, 10 to missing)

{com}.         fre test_budsect_apol
{res}
{txt}test_budsect_apol
{txt}{hline 9}{hline 1}{c TT}{hline 44}
{txt}        {txt}  {c |}      Freq.    Percent      Valid       Cum.
{txt}{hline 9}{hline 1}{c +}{hline 44}
{txt}Missing . {c |}{res}         61     100.00                      
{txt}{hline 9}{hline 1}{c BT}{hline 44}

{com}.         assert inlist(test_budsect_apol,.,1)
{txt}
{com}.         
.         drop test_budsect_apol
{txt}
{com}.         
.         * acinfexp_epol
.         
.         lab var acinfexp_epol "Obtain detailed info about expenditures (elec. politician)"
{txt}
{com}.         
.         fre acinfexp_epol
{res}
{txt}acinfexp_epol {hline 2} Obtain detailed info about expenditures (elec. politician)
{txt}{hline 26}{hline 1}{c TT}{hline 44}
{txt}        {txt}                   {c |}      Freq.    Percent      Valid       Cum.
{txt}{hline 26}{hline 1}{c +}{hline 44}
{txt}Valid   Somewhat difficult {c |}{res}          5       8.20      21.74      21.74
{txt}        Somewhat easy      {c |}{res}          3       4.92      13.04      34.78
{txt}        Very difficult     {c |}{res}          1       1.64       4.35      39.13
{txt}        Very easy          {c |}{res}         14      22.95      60.87     100.00
{txt}        Total              {c |}{res}         23      37.70     100.00           
{txt}Missing                    {c |}{res}         38      62.30                      
{txt}Total                      {c |}{res}         61     100.00                      
{txt}{hline 26}{hline 1}{c BT}{hline 44}

{com}.         
.         replace acinfexp_epol = "1" if regexm(acinfexp_epol,"Very easy")
{txt}(14 real changes made)

{com}.         replace acinfexp_epol = "2" if regexm(acinfexp_epol,"Somewhat easy")
{txt}(3 real changes made)

{com}.         replace acinfexp_epol = "3" if regexm(acinfexp_epol,"Somewhat difficult")
{txt}(5 real changes made)

{com}.         replace acinfexp_epol = "4" if regexm(acinfexp_epol,"Very difficult")
{txt}(1 real change made)

{com}.         replace acinfexp_epol = "5" if regexm(acinfexp_epol,"Not applicable")
{txt}(0 real changes made)

{com}.         replace acinfexp_epol = "6" if regexm(acinfexp_epol,"Do not know")
{txt}(0 real changes made)

{com}.         
.         destring acinfexp_epol, replace
{txt}acinfexp_epol: all characters numeric; {res}replaced {txt}as {res}byte
{txt}(38 missing values generated)
{res}{txt}
{com}.         lab def acinfexp_epol 1 "Very easy" 2 "Somewhat easy" 3 "Somewhat difficult" 4 "Very difficult" 5 "Not applicable, this level of government has no spending power" 6 "Do not know / Refuse to answer"
{txt}
{com}.         lab val acinfexp_epol acinfexp_epol
{txt}
{com}.         
.         fre acinfexp_epol
{res}
{txt}acinfexp_epol {hline 2} Obtain detailed info about expenditures (elec. politician)
{txt}{hline 28}{hline 1}{c TT}{hline 44}
{txt}        {txt}                     {c |}      Freq.    Percent      Valid       Cum.
{txt}{hline 28}{hline 1}{c +}{hline 44}
{txt}Valid   1 Very easy          {c |}{res}         14      22.95      60.87      60.87
{txt}        2 Somewhat easy      {c |}{res}          3       4.92      13.04      73.91
{txt}        3 Somewhat difficult {c |}{res}          5       8.20      21.74      95.65
{txt}        4 Very difficult     {c |}{res}          1       1.64       4.35     100.00
{txt}        Total                {c |}{res}         23      37.70     100.00           
{txt}Missing .                    {c |}{res}         38      62.30                      
{txt}Total                        {c |}{res}         61     100.00                      
{txt}{hline 28}{hline 1}{c BT}{hline 44}

{com}.         
.         gen test_acinfexp_epol = (acinfexp_epol != .)
{txt}
{com}.         replace test_acinfexp_epol = . if asked_survey == 0 
{txt}(37 real changes made, 37 to missing)

{com}.         replace test_acinfexp_epol = . if elecpol_ovrsee == 0
{txt}(1 real change made, 1 to missing)

{com}.         fre test_acinfexp_epol
{res}
{txt}test_acinfexp_epol
{txt}{hline 9}{hline 1}{c TT}{hline 44}
{txt}        {txt}  {c |}      Freq.    Percent      Valid       Cum.
{txt}{hline 9}{hline 1}{c +}{hline 44}
{txt}Valid   1 {c |}{res}         23      37.70     100.00     100.00
{txt}Missing . {c |}{res}         38      62.30                      
{txt}Total     {c |}{res}         61     100.00                      
{txt}{hline 9}{hline 1}{c BT}{hline 44}

{com}.         assert inlist(test_acinfexp_epol,.,1)
{txt}
{com}.         
.         drop test_acinfexp_epol
{txt}
{com}.         
.         * acinfexp_apol
.         
.         lab var acinfexp_apol "Obtain detailed info about expenditures (app. politician)"
{txt}
{com}.         
.         fre acinfexp_apol
{res}
{txt}acinfexp_apol {hline 2} Obtain detailed info about expenditures (app. politician)
{txt}{hline 8}{hline 1}{c TT}{hline 44}
{txt}        {txt} {c |}      Freq.    Percent      Valid       Cum.
{txt}{hline 8}{hline 1}{c +}{hline 44}
{txt}Missing  {c |}{res}         61     100.00                      
{txt}{hline 8}{hline 1}{c BT}{hline 44}

{com}.         
.         replace acinfexp_apol = "1" if regexm(acinfexp_apol,"Very easy")
{txt}(0 real changes made)

{com}.         replace acinfexp_apol = "2" if regexm(acinfexp_apol,"Somewhat easy")
{txt}(0 real changes made)

{com}.         replace acinfexp_apol = "3" if regexm(acinfexp_apol,"Somewhat difficult")
{txt}(0 real changes made)

{com}.         replace acinfexp_apol = "4" if regexm(acinfexp_apol,"Very difficult")
{txt}(0 real changes made)

{com}.         replace acinfexp_apol = "5" if regexm(acinfexp_apol,"Not applicable")
{txt}(0 real changes made)

{com}.         replace acinfexp_apol = "6" if regexm(acinfexp_apol,"Do not know")
{txt}(0 real changes made)

{com}.         
.         destring acinfexp_apol, replace
{txt}acinfexp_apol: all characters numeric; {res}replaced {txt}as {res}byte
{txt}(61 missing values generated)
{res}{txt}
{com}.         lab def acinfexp_apol 1 "Very easy" 2 "Somewhat easy" 3 "Somewhat difficult" 4 "Very difficult" 5 "Not applicable, this level of government has no spending power" 6 "Do not know / Refuse to answer"
{txt}
{com}.         lab val acinfexp_apol acinfexp_apol
{txt}
{com}.         
.         fre acinfexp_apol
{res}
{txt}acinfexp_apol {hline 2} Obtain detailed info about expenditures (app. politician)
{txt}{hline 13}{hline 1}{c TT}{hline 44}
{txt}        {txt}      {c |}      Freq.    Percent      Valid       Cum.
{txt}{hline 13}{hline 1}{c +}{hline 44}
{txt}Missing .     {c |}{res}         61     100.00                      
{txt}{hline 13}{hline 1}{c BT}{hline 44}

{com}.         
.         gen test_acinfexp_apol = (acinfexp_apol != .)
{txt}
{com}.         replace test_acinfexp_apol = . if asked_survey == 0
{txt}(37 real changes made, 37 to missing)

{com}.         replace test_acinfexp_apol = . if aptpol_d == 0
{txt}(14 real changes made, 14 to missing)

{com}.         replace test_acinfexp_apol = . if elecpol_ovrsee == 1 
{txt}(10 real changes made, 10 to missing)

{com}.         fre test_acinfexp_apol
{res}
{txt}test_acinfexp_apol
{txt}{hline 9}{hline 1}{c TT}{hline 44}
{txt}        {txt}  {c |}      Freq.    Percent      Valid       Cum.
{txt}{hline 9}{hline 1}{c +}{hline 44}
{txt}Missing . {c |}{res}         61     100.00                      
{txt}{hline 9}{hline 1}{c BT}{hline 44}

{com}.         assert inlist(test_acinfexp_apol,.,1)
{txt}
{com}.         
.         drop test_acinfexp_apol
{txt}
{com}.         
.         * understand_epol
.         
.         lab var understand_epol "Has capacity to read/understand budget (elec. politician)"
{txt}
{com}.         
.         fre understand_epol
{res}
{txt}understand_epol {hline 2} Has capacity to read/understand budget (elec. politician)
{txt}{hline 28}{hline 1}{c TT}{hline 44}
{txt}        {txt}                     {c |}      Freq.    Percent      Valid       Cum.
{txt}{hline 28}{hline 1}{c +}{hline 44}
{txt}Valid   Definitely capable   {c |}{res}          1       1.64       5.26       5.26
{txt}        Only with difficulty {c |}{res}          2       3.28      10.53      15.79
{txt}        Somewhat capable     {c |}{res}          9      14.75      47.37      63.16
{txt}        Definitely capable   {c |}{res}          2       3.28      10.53      73.68
{txt}        Only with difficulty {c |}{res}          1       1.64       5.26      78.95
{txt}        Somewhat capable     {c |}{res}          4       6.56      21.05     100.00
{txt}        Total                {c |}{res}         19      31.15     100.00           
{txt}Missing                      {c |}{res}         42      68.85                      
{txt}Total                        {c |}{res}         61     100.00                      
{txt}{hline 28}{hline 1}{c BT}{hline 44}

{com}.         e

{txt}end of do-file


{com}. edit if understand_epol == ""

. edit if understand_epol == ""

. do "/var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//SD44938.000000"
{txt}
{com}. 
.         * Purpose: Importing data to run HFC
.         
.         * Setting up globals
.         
.         if "`c(username)'" == "fredericcochinard" {c -(}
.                 
.                 global import_folder "/Users/fredericcochinard/Dropbox/Expert survey/Data/0.survey_dataset/0.import"
.                 global output "/Users/fredericcochinard/Dropbox/Expert survey/Data/0.survey_dataset/1.output"
.                 
.                 {c )-}
{txt}
{com}.                 
.         if "`c(username)'" == "" {c -(}
.         
.                 
.                 {c )-}
{txt}
{com}.         
.         * Looking for renaming folder with problem
.         
.         local myfiles: dir "$import_folder" files "*.xlsx"
{txt}
{com}. 
.         foreach file of local myfiles {c -(}
{txt}  2{com}.                 
.                 local subfile = substr("`file'", 1, .)
{txt}  3{com}.                 local subfile : subinstr local subfile " " "_", all
{txt}  4{com}.                 ! mv "${c -(}import_folder{c )-}/`file'" "${c -(}import_folder{c )-}/`subfile'"
{txt}  5{com}.                 
.                 {c )-}
{txt}

{com}.         
.         * Looking for dataset
.         
.         filelist , dir("$import_folder") pat("*.xlsx")
{res}{txt}Number of files found = {res}1
{txt}
{com}.         
.         gen url = filename
{txt}
{com}.         
.         levelsof url
{txt}`"Expert_survey_February_18,_2025_16.23.xlsx"'

{com}. 
.         local lvlfiles `r(levels)'
{txt}
{com}.         
.         local z = 0
{txt}
{com}.         
.         foreach lvl of local lvlfiles {c -(}
{txt}  2{com}.         
.                 local z = `z' + 1
{txt}  3{com}.                 
.                 local temp : subinstr local lvl `"""' "", all
{txt}  4{com}.                 local url : subinstr local temp "'" "", all
{txt}  5{com}.         
.                 import excel "${c -(}import_folder{c )-}/`url'", first case(lower) clear
{txt}  6{com}.                 
.                 gen num = _n
{txt}  7{com}.                 drop if num == 1
{txt}  8{com}.                 
.                 * Preparing the append
.                 
.                 tempfile data`z'
{txt}  9{com}.                 sa "`data`z''"
{txt} 10{com}.                 
.                 {c )-}
{res}{txt}(1 observation deleted)
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.000001 saved

{com}.                 
.         * We append the dataset to start cleaning
.         
.         use "`data1'", clear
{txt}
{com}.         
.         forvalues x = 2/`z' {c -(}
{txt}  2{com}.         
.                 append using "`data`x''"
{txt}  3{com}.                 
.                 {c )-}
{txt}
{com}.                 
.         duplicates drop

{p 0 4}{txt}Duplicates in terms of {txt} all variables{p_end}

(0 observations are duplicates)

{com}.         
.         * We keep relevant variable
.         drop if recipientemail == "frederic.cochinard@gmail.com"
{txt}(8 observations deleted)

{com}.         drop if recipientemail == "vedpant+spanish@college.harvard.edu"
{txt}(1 observation deleted)

{com}.         drop if recipientemail == "frederic.cochinard+3@gmail.com"
{txt}(1 observation deleted)

{com}.         drop if recipientemail == "frederic.cochinard+1@gmail.com"
{txt}(1 observation deleted)

{com}.         
.         * We remove observation that are not finished
.         drop if finished == "False"
{txt}(9 observations deleted)

{com}.         
.         * We create a save
.         
.         tempfile save_data
{txt}
{com}.         sa "`save_data'"
{txt}file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.000002 saved

{com}.         
.         ******************
.         * Payment module *
.         ******************
.         
.         preserve
{txt}
{com}.         
.         keep responseid method_pay_bank_in_q-q977
{txt}
{com}.         compress
  {txt}variable {bf}method_pay_bank_in_q{sf} was {bf}{res}str237{sf}{txt} now {bf}{res}str24{sf}
  {txt}variable {bf}expert_donation_org{sf} was {bf}{res}str129{sf}{txt} now {bf}{res}str23{sf}
  {txt}variable {bf}q967{sf} was {bf}{res}str236{sf}{txt} now {bf}{res}str65{sf}
  {txt}variable {bf}q978{sf} was {bf}{res}str326{sf}{txt} now {bf}{res}str16{sf}
  {txt}variable {bf}q979{sf} was {bf}{res}str104{sf}{txt} now {bf}{res}str39{sf}
  {txt}variable {bf}q980{sf} was {bf}{res}str95{sf}{txt} now {bf}{res}str11{sf}
  {txt}variable {bf}q987{sf} was {bf}{res}str170{sf}{txt} now {bf}{res}str24{sf}
  {txt}variable {bf}q984{sf} was {bf}{res}str326{sf}{txt} now {bf}{res}str1{sf}
  {txt}variable {bf}q985{sf} was {bf}{res}str104{sf}{txt} now {bf}{res}str1{sf}
  {txt}variable {bf}q986{sf} was {bf}{res}str95{sf}{txt} now {bf}{res}str1{sf}
  {txt}variable {bf}q988{sf} was {bf}{res}str170{sf}{txt} now {bf}{res}str1{sf}
  {txt}variable {bf}q989{sf} was {bf}{res}str559{sf}{txt} now {bf}{res}str1{sf}
  {txt}variable {bf}q990{sf} was {bf}{res}str102{sf}{txt} now {bf}{res}str1{sf}
  {txt}variable {bf}q991{sf} was {bf}{res}str93{sf}{txt} now {bf}{res}str1{sf}
  {txt}variable {bf}q992{sf} was {bf}{res}str170{sf}{txt} now {bf}{res}str1{sf}
  {txt}variable {bf}q998{sf} was {bf}{res}str537{sf}{txt} now {bf}{res}str1{sf}
  {txt}variable {bf}q997{sf} was {bf}{res}str105{sf}{txt} now {bf}{res}str1{sf}
  {txt}variable {bf}q999{sf} was {bf}{res}str104{sf}{txt} now {bf}{res}str1{sf}
  {txt}variable {bf}q1000{sf} was {bf}{res}str95{sf}{txt} now {bf}{res}str1{sf}
  {txt}variable {bf}q1001{sf} was {bf}{res}str170{sf}{txt} now {bf}{res}str1{sf}
  {txt}variable {bf}q977{sf} was {bf}{res}str502{sf}{txt} now {bf}{res}str23{sf}
{txt}  (46,101 bytes saved)

{com}.         
.         * Donate_d
.         
.         gen donate_d = 0
{txt}
{com}.         replace donate_d = 1 if method_pay_bank_in_q == "I prefer to donate"
{txt}(3 real changes made)

{com}.         
.         * Special case
.         replace donate_d = 1 if responseid == "R_4ouc7tR6BFj3gpb" // respondent is refusing to take money in comments
{txt}(1 real change made)

{com}.         replace donate_d = 1 if responseid == "R_4Iow7YzsoT2KTOx" // respondent is writing cancel in comments
{txt}(1 real change made)

{com}.         
.         lab var donate_d "Respondent decided to donate"
{txt}
{com}.         lab def donate_d 0 "No" 1 "Yes"
{txt}
{com}.         lab val donate_d donate_d
{txt}
{com}.         order donate_d, after(responseid)
{txt}
{com}.         
.         * Org
.         
.         gen org_donation_id = "" 
{txt}(11 missing values generated)

{com}.         replace org_donation_id = expert_donation_org if donate_d == 1
{txt}variable {bf}org_donation_id{sf} was {bf}{res}str1{sf}{txt} now {bf}{res}str23{sf}
{txt}(3 real changes made)

{com}.         replace org_donation_id = "No choice" if donate_d == 1 & org_donation_id == ""
{txt}(2 real changes made)

{com}.         lab var org_donation_id "Name of the organization the respondent chose to donate"
{txt}
{com}.         order org_donation_id, after(donate_d)
{txt}
{com}.         
.         * Paid status
.         
.         gen paid_status = 0
{txt}
{com}.         replace paid_status = 2 if donate_d == 1
{txt}(5 real changes made)

{com}.         
.         * Case of payment
.         
.         lab var paid_status "Status of payment of the respondent"
{txt}
{com}.         lab def paid_status 0 "Not yet" 1 "Yes" 2 "Donation"
{txt}
{com}.         lab val paid_status paid_status
{txt}
{com}.         order paid_status, after(org_donation_id)
{txt}
{com}.         
.         keep responseid donate_d org_donation_id paid_status
{txt}
{com}.         
.         tempfile payment_module
{txt}
{com}.         sa "`payment_module'"
{txt}file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.000004 saved

{com}.         
.         restore
{txt}
{com}.         
.         * Main form of survey 
.         keep country full_name recipientemail responseid progress durationinseconds finished userlanguage num_unit confirmation_* ///
>         title_bur* elecpol_ovrsee* title_elecpol* aptpol_d* title_aptpol* who_aptpol* mostinf_servdel* educ_elecpolbur* ///
>         educ_apolbur* slry_elecpolbur* slry_apolbur* fdout_epol_bgt* fdout_apol_bgt* budsect_epol* budsect_apol* acinfexp_epol* /// 
>         acinfexp_apol* understand_epol* understand_apol* acttake_epol* acttake_epol* acttake_apol* acttake_apol* likely* why_likchan* /// 
>         who_apt_bur* who_apt_bur* who_fir_bur* who_fir_bur* ocap_epol* ocap_apol* prio_epol* prio_apol* overall_conf* avg_educ_epol* ///
>         avg_educ_apol* avg_educ_buro* avg_slry_epol* avg_slry_apol* avg_slry_buro* //
{txt}
{com}.         
.         destring durationinseconds progress, replace
{txt}durationinseconds: all characters numeric; {res}replaced {txt}as {res}int
{txt}progress: all characters numeric; {res}replaced {txt}as {res}byte
{txt}
{com}.         replace durationinseconds = round(durationinseconds/60)
{txt}(11 real changes made)

{com}.         ren durationinseconds duration_minutes
{res}{txt}
{com}. 
.         *--
.         
.         local id country full_name recipientemail responseid userlanguage num_unit finished progress duration_minutes
{txt}
{com}.         
.         order `id', first
{txt}
{com}.         duplicates drop `id', force

{p 0 4}{txt}Duplicates in terms of {res} country full_name recipientemail responseid userlanguage num_unit finished progress duration_minutes{p_end}

{txt}(0 observations are duplicates)

{com}.         
.         * Renaming others
.         
.         forvalues x = 1/3 {c -(}
{txt}  2{com}.                 
.                 forvalues y = 1/6 {c -(} 
{txt}  3{com}.                 
.                         cap ren who_apt_bur_`x'_`y'_8_text who_apt_buroth_`x'_`y'
{txt}  4{com}.                         cap ren who_fir_bur_`x'_`y'_8_text who_fir_buroth_`x'_`y'
{txt}  5{com}.                         cap ren acttake_epol_`x'_`y'_9_text acttake_epoloth_`x'_`y'
{txt}  6{com}.                         cap ren acttake_apol_`x'_`y'_9_text acttake_apoloth_`x'_`y'
{txt}  7{com}.                         
.                         {c )-}
{txt}  8{com}.                         
.                 {c )-}
{txt}
{com}.         
.         #delimit ;
{txt}delimiter now ;
{com}.         local var confirmation
>         title_bur 
>         elecpol_ovrsee
>         title_elecpol
>         aptpol_d
>         title_aptpol
>         who_aptpol
>         mostinf_servdel
>         educ_elecpolbur
>         educ_apolbur
>         slry_elecpolbur
>         slry_apolbur
>         fdout_epol_bgt
>         fdout_apol_bgt
>         budsect_epol
>         budsect_apol
>         acinfexp_epol
>         acinfexp_apol
>         understand_epol
>         understand_apol
>         acttake_epol
>         acttake_epoloth
>         acttake_apol
>         acttake_apoloth
>         likely
>         why_likchan
>         who_apt_bur
>         who_apt_buroth
>         who_fir_bur
>         who_fir_buroth
>         ocap_epol
>         ocap_apol
>         prio_epol
>         prio_apol
>         overall_conf
>         avg_educ_epol
>         avg_educ_apol
>         avg_educ_buro
>         avg_slry_epol
>         avg_slry_apol
>         avg_slry_buro
>         
>         ;
{txt}
{com}.                 #delimit cr
{txt}delimiter now cr
{com}. 
.         reshape long `var', i(`id') j(pos) s
{txt}(note: j = _1_1 _1_4 _1_5 _1_6 _2_1 _2_2 _2_4 _2_5 _2_6 _3_1 _3_2 _3_3 _3_4 _3_5 _3_6)
(note: confirmation_1_4 not found)
(note: confirmation_1_5 not found)
(note: confirmation_1_6 not found)
(note: confirmation_2_4 not found)
(note: confirmation_2_5 not found)
(note: confirmation_2_6 not found)
(note: confirmation_3_4 not found)
(note: confirmation_3_5 not found)
(note: confirmation_3_6 not found)

Data{col 36}wide{col 43}->{col 48}long
{hline 77}
Number of obs.                 {res}      11   {txt}->{res}     165
{txt}Number of variables            {res}     615   {txt}->{res}      51
{txt}j variable (15 values)                    ->   {res}pos
{txt}xij variables:
{res}confirmation_1_1 confirmation_1_4 ... confirmation_3_6{txt}->{res}confirmation
title_bur_1_1 title_bur_1_4 ... title_bur_3_6{txt}->{res}title_bur
elecpol_ovrsee_1_1 elecpol_ovrsee_1_4 ... elecpol_ovrsee_3_6{txt}->{res}elecpol_ovrsee
title_elecpol_1_1 title_elecpol_1_4 ... title_elecpol_3_6{txt}->{res}title_elecpol
aptpol_d_1_1 aptpol_d_1_4 ... aptpol_d_3_6{txt}->   {res}aptpol_d
title_aptpol_1_1 title_aptpol_1_4 ... title_aptpol_3_6{txt}->{res}title_aptpol
who_aptpol_1_1 who_aptpol_1_4 ... who_aptpol_3_6{txt}->{res}who_aptpol
mostinf_servdel_1_1 mostinf_servdel_1_4 ... mostinf_servdel_3_6{txt}->{res}mostinf_servdel
educ_elecpolbur_1_1 educ_elecpolbur_1_4 ... educ_elecpolbur_3_6{txt}->{res}educ_elecpolbur
educ_apolbur_1_1 educ_apolbur_1_4 ... educ_apolbur_3_6{txt}->{res}educ_apolbur
slry_elecpolbur_1_1 slry_elecpolbur_1_4 ... slry_elecpolbur_3_6{txt}->{res}slry_elecpolbur
slry_apolbur_1_1 slry_apolbur_1_4 ... slry_apolbur_3_6{txt}->{res}slry_apolbur
fdout_epol_bgt_1_1 fdout_epol_bgt_1_4 ... fdout_epol_bgt_3_6{txt}->{res}fdout_epol_bgt
fdout_apol_bgt_1_1 fdout_apol_bgt_1_4 ... fdout_apol_bgt_3_6{txt}->{res}fdout_apol_bgt
budsect_epol_1_1 budsect_epol_1_4 ... budsect_epol_3_6{txt}->{res}budsect_epol
budsect_apol_1_1 budsect_apol_1_4 ... budsect_apol_3_6{txt}->{res}budsect_apol
acinfexp_epol_1_1 acinfexp_epol_1_4 ... acinfexp_epol_3_6{txt}->{res}acinfexp_epol
acinfexp_apol_1_1 acinfexp_apol_1_4 ... acinfexp_apol_3_6{txt}->{res}acinfexp_apol
understand_epol_1_1 understand_epol_1_4 ... understand_epol_3_6{txt}->{res}understand_epol
understand_apol_1_1 understand_apol_1_4 ... understand_apol_3_6{txt}->{res}understand_apol
acttake_epol_1_1 acttake_epol_1_4 ... acttake_epol_3_6{txt}->{res}acttake_epol
acttake_epoloth_1_1 acttake_epoloth_1_4 ... acttake_epoloth_3_6{txt}->{res}acttake_epoloth
acttake_apol_1_1 acttake_apol_1_4 ... acttake_apol_3_6{txt}->{res}acttake_apol
acttake_apoloth_1_1 acttake_apoloth_1_4 ... acttake_apoloth_3_6{txt}->{res}acttake_apoloth
   likely_1_1 likely_1_4 ... likely_3_6   {txt}->   {res}likely
why_likchan_1_1 why_likchan_1_4 ... why_likchan_3_6{txt}->{res}why_likchan
who_apt_bur_1_1 who_apt_bur_1_4 ... who_apt_bur_3_6{txt}->{res}who_apt_bur
who_apt_buroth_1_1 who_apt_buroth_1_4 ... who_apt_buroth_3_6{txt}->{res}who_apt_buroth
who_fir_bur_1_1 who_fir_bur_1_4 ... who_fir_bur_3_6{txt}->{res}who_fir_bur
who_fir_buroth_1_1 who_fir_buroth_1_4 ... who_fir_buroth_3_6{txt}->{res}who_fir_buroth
ocap_epol_1_1 ocap_epol_1_4 ... ocap_epol_3_6{txt}->{res}ocap_epol
ocap_apol_1_1 ocap_apol_1_4 ... ocap_apol_3_6{txt}->{res}ocap_apol
prio_epol_1_1 prio_epol_1_4 ... prio_epol_3_6{txt}->{res}prio_epol
prio_apol_1_1 prio_apol_1_4 ... prio_apol_3_6{txt}->{res}prio_apol
overall_conf_1_1 overall_conf_1_4 ... overall_conf_3_6{txt}->{res}overall_conf
avg_educ_epol_1_1 avg_educ_epol_1_4 ... avg_educ_epol_3_6{txt}->{res}avg_educ_epol
avg_educ_apol_1_1 avg_educ_apol_1_4 ... avg_educ_apol_3_6{txt}->{res}avg_educ_apol
avg_educ_buro_1_1 avg_educ_buro_1_4 ... avg_educ_buro_3_6{txt}->{res}avg_educ_buro
avg_slry_epol_1_1 avg_slry_epol_1_4 ... avg_slry_epol_3_6{txt}->{res}avg_slry_epol
avg_slry_apol_1_1 avg_slry_apol_1_4 ... avg_slry_apol_3_6{txt}->{res}avg_slry_apol
avg_slry_buro_1_1 avg_slry_buro_1_4 ... avg_slry_buro_3_6{txt}->{res}avg_slry_buro
{txt}{hline 77}

{com}.         
.         * Filter data
.         
.         split pos, p("_")
{res}variables created as string: 
{txt}{col 1}pos1{col 7}pos2{col 13}pos3

{com}.         
.         drop pos1
{txt}
{com}.         ren pos2 case_n_unit
{res}{txt}
{com}.         ren pos3 unit_num
{res}{txt}
{com}.         destring case_n_unit unit_num, replace
{txt}case_n_unit: all characters numeric; {res}replaced {txt}as {res}byte
{txt}unit_num: all characters numeric; {res}replaced {txt}as {res}byte
{txt}
{com}.         order case_n_unit unit_num, after(duration_minutes)
{txt}
{com}.         drop pos
{txt}
{com}.         
.         destring num_unit, replace
{txt}num_unit: all characters numeric; {res}replaced {txt}as {res}byte
{txt}
{com}.         drop if num_unit != case_n_unit
{txt}(104 observations deleted)

{com}.         drop num_unit
{txt}
{com}.         
.         compress
  {txt}variable {bf}country{sf} was {bf}{res}str15{sf}{txt} now {bf}{res}str11{sf}
  {txt}variable {bf}full_name{sf} was {bf}{res}str28{sf}{txt} now {bf}{res}str23{sf}
  {txt}variable {bf}recipientemail{sf} was {bf}{res}str35{sf}{txt} now {bf}{res}str32{sf}
  {txt}variable {bf}userlanguage{sf} was {bf}{res}str13{sf}{txt} now {bf}{res}str2{sf}
  {txt}variable {bf}finished{sf} was {bf}{res}str8{sf}{txt} now {bf}{res}str4{sf}
  {txt}variable {bf}title_bur{sf} was {bf}{res}str448{sf}{txt} now {bf}{res}str235{sf}
  {txt}variable {bf}elecpol_ovrsee{sf} was {bf}{res}str352{sf}{txt} now {bf}{res}str3{sf}
  {txt}variable {bf}title_elecpol{sf} was {bf}{res}str312{sf}{txt} now {bf}{res}str288{sf}
  {txt}variable {bf}aptpol_d{sf} was {bf}{res}str332{sf}{txt} now {bf}{res}str30{sf}
  {txt}variable {bf}who_aptpol{sf} was {bf}{res}str96{sf}{txt} now {bf}{res}str84{sf}
  {txt}variable {bf}mostinf_servdel{sf} was {bf}{res}str256{sf}{txt} now {bf}{res}str44{sf}
  {txt}variable {bf}educ_elecpolbur{sf} was {bf}{res}str258{sf}{txt} now {bf}{res}str51{sf}
  {txt}variable {bf}educ_apolbur{sf} was {bf}{res}str260{sf}{txt} now {bf}{res}str1{sf}
  {txt}variable {bf}slry_elecpolbur{sf} was {bf}{res}str316{sf}{txt} now {bf}{res}str47{sf}
  {txt}variable {bf}slry_apolbur{sf} was {bf}{res}str318{sf}{txt} now {bf}{res}str1{sf}
  {txt}variable {bf}fdout_epol_bgt{sf} was {bf}{res}str373{sf}{txt} now {bf}{res}str19{sf}
  {txt}variable {bf}fdout_apol_bgt{sf} was {bf}{res}str375{sf}{txt} now {bf}{res}str1{sf}
  {txt}variable {bf}budsect_epol{sf} was {bf}{res}str217{sf}{txt} now {bf}{res}str19{sf}
  {txt}variable {bf}budsect_apol{sf} was {bf}{res}str219{sf}{txt} now {bf}{res}str1{sf}
  {txt}variable {bf}acinfexp_epol{sf} was {bf}{res}str216{sf}{txt} now {bf}{res}str19{sf}
  {txt}variable {bf}acinfexp_apol{sf} was {bf}{res}str218{sf}{txt} now {bf}{res}str1{sf}
  {txt}variable {bf}understand_epol{sf} was {bf}{res}str214{sf}{txt} now {bf}{res}str21{sf}
  {txt}variable {bf}understand_apol{sf} was {bf}{res}str216{sf}{txt} now {bf}{res}str21{sf}
  {txt}variable {bf}acttake_epol{sf} was {bf}{res}str247{sf}{txt} now {bf}{res}str163{sf}
  {txt}variable {bf}acttake_epoloth{sf} was {bf}{res}str261{sf}{txt} now {bf}{res}str63{sf}
  {txt}variable {bf}acttake_apol{sf} was {bf}{res}str250{sf}{txt} now {bf}{res}str1{sf}
  {txt}variable {bf}acttake_apoloth{sf} was {bf}{res}str264{sf}{txt} now {bf}{res}str1{sf}
  {txt}variable {bf}likely{sf} was {bf}{res}str159{sf}{txt} now {bf}{res}str18{sf}
  {txt}variable {bf}who_apt_bur{sf} was {bf}{res}str126{sf}{txt} now {bf}{res}str64{sf}
  {txt}variable {bf}who_fir_bur{sf} was {bf}{res}str120{sf}{txt} now {bf}{res}str64{sf}
  {txt}variable {bf}who_fir_buroth{sf} was {bf}{res}str134{sf}{txt} now {bf}{res}str77{sf}
  {txt}variable {bf}ocap_epol{sf} was {bf}{res}str359{sf}{txt} now {bf}{res}str55{sf}
  {txt}variable {bf}ocap_apol{sf} was {bf}{res}str361{sf}{txt} now {bf}{res}str1{sf}
  {txt}variable {bf}prio_epol{sf} was {bf}{res}str209{sf}{txt} now {bf}{res}str73{sf}
  {txt}variable {bf}prio_apol{sf} was {bf}{res}str211{sf}{txt} now {bf}{res}str1{sf}
  {txt}variable {bf}overall_conf{sf} was {bf}{res}str191{sf}{txt} now {bf}{res}str17{sf}
  {txt}variable {bf}avg_educ_buro{sf} was {bf}{res}str117{sf}{txt} now {bf}{res}str101{sf}
  {txt}variable {bf}avg_slry_apol{sf} was {bf}{res}str134{sf}{txt} now {bf}{res}str128{sf}
  {txt}variable {bf}avg_slry_buro{sf} was {bf}{res}str134{sf}{txt} now {bf}{res}str87{sf}
  {txt}variable {bf}confirmation{sf} was {bf}{res}str1148{sf}{txt} now {bf}{res}str63{sf}
{txt}  (462,685 bytes saved)

{com}.         
.         * We edit the label 
.         
.         lab var country "Country"
{txt}
{com}.         lab var full_name  "Full name of recipient"
{txt}
{com}.         lab var recipientemail "Recipient email"
{txt}
{com}.         lab var userlanguage "Language used to answer"
{txt}
{com}.         lab var finished "Completion status"
{txt}
{com}.         lab var progress "Progress"
{txt}
{com}.         lab var duration_minutes "Duration in minutes"
{txt}
{com}.         lab var case_n_unit "Original number of entities"
{txt}
{com}.         lab var unit_num "Unit number"
{txt}
{com}.         
.         * Confirmation
.         
.         fre confirmation
{res}
{txt}confirmation
{txt}{hline 54}{hline 1}{c TT}{hline 44}
{txt}        {txt}                                               {c |}      Freq.    Percent      Valid       Cum.
{txt}{hline 54}{hline 1}{c +}{hline 44}
{txt}Valid   No, this is inaccurate. This level needs to be {c |}{res}          2       3.28       7.14       7.14
{txt}        replaced/deleted                               {c |}{res}                                            
{txt}        No, this level needs to be replaced/deleted    {c |}{res}          2       3.28       7.14      14.29
{txt}        Yes, this is accurate                          {c |}{res}         24      39.34      85.71     100.00
{txt}        Total                                          {c |}{res}         28      45.90     100.00           
{txt}Missing                                                {c |}{res}         33      54.10                      
{txt}Total                                                  {c |}{res}         61     100.00                      
{txt}{hline 54}{hline 1}{c BT}{hline 44}

{com}.         replace confirmation = "1" if confirmation == "Yes, this is accurate"
{txt}(24 real changes made)

{com}.         replace confirmation = "0" if regexm(confirmation,"No")
{txt}(4 real changes made)

{com}.         destring confirmation, replace
{txt}confirmation: all characters numeric; {res}replaced {txt}as {res}byte
{txt}(33 missing values generated)
{res}{txt}
{com}.         
.         lab var confirmation "Confirmation of adequacy of unit"
{txt}
{com}.         lab def confirmation 0 "No, this is not accurate. It should be replaced/deleted" 1 "Yes, this is accurate"
{txt}
{com}.         lab val confirmation confirmation
{txt}
{com}.         
.         fre confirmation
{res}
{txt}confirmation {hline 2} Confirmation of adequacy of unit
{txt}{hline 48}{hline 1}{c TT}{hline 44}
{txt}        {txt}                                         {c |}      Freq.    Percent      Valid       Cum.
{txt}{hline 48}{hline 1}{c +}{hline 44}
{txt}Valid   0 No, this is not accurate. It should be {c |}{res}          4       6.56      14.29      14.29
{txt}          replaced/deleted                       {c |}{res}                                            
{txt}        1 Yes, this is accurate                  {c |}{res}         24      39.34      85.71     100.00
{txt}        Total                                    {c |}{res}         28      45.90     100.00           
{txt}Missing .                                        {c |}{res}         33      54.10                      
{txt}Total                                            {c |}{res}         61     100.00                      
{txt}{hline 48}{hline 1}{c BT}{hline 44}

{com}.         
.         order confirmation, after(unit_num)
{txt}
{com}.         
.         * Creating variable about asked_survey (should be updated)
.         
.         gen asked_survey = 0
{txt}
{com}.         replace asked_survey = 1 if confirmation == 1
{txt}(24 real changes made)

{com}.         lab var asked_survey "Survey question asked to respondent"
{txt}
{com}.         lab def yesno 0 "No" 1 "Yes"
{txt}
{com}.         lab val asked_survey yesno
{txt}
{com}.         order asked_survey, after(confirmation)
{txt}
{com}.         
.         * title_bur
.         
.         lab var title_bur "Title of the highest-level bureaucrat in unit"
{txt}
{com}.         
.         gen test_title_bur = (title_bur != "")
{txt}
{com}.         replace test_title_bur = . if asked_survey == 0
{txt}(37 real changes made, 37 to missing)

{com}.         fre test_title_bur
{res}
{txt}test_title_bur
{txt}{hline 9}{hline 1}{c TT}{hline 44}
{txt}        {txt}  {c |}      Freq.    Percent      Valid       Cum.
{txt}{hline 9}{hline 1}{c +}{hline 44}
{txt}Valid   1 {c |}{res}         24      39.34     100.00     100.00
{txt}Missing . {c |}{res}         37      60.66                      
{txt}Total     {c |}{res}         61     100.00                      
{txt}{hline 9}{hline 1}{c BT}{hline 44}

{com}.         assert inlist(test_title_bur,.,1)
{txt}
{com}.         
.         drop test_title_bur
{txt}
{com}.         
.         * elecpol_ovrsee
.         
.         lab var elecpol_ovrsee "Any politicians in unit overseeing service delivery"
{txt}
{com}.         replace elecpol_ovrsee = "0" if elecpol_ovrsee == "No"
{txt}(2 real changes made)

{com}.         replace elecpol_ovrsee = "1" if elecpol_ovrsee == "Yes"
{txt}(23 real changes made)

{com}.         destring elecpol_ovrsee, replace
{txt}elecpol_ovrsee: all characters numeric; {res}replaced {txt}as {res}byte
{txt}(36 missing values generated)
{res}{txt}
{com}.         lab val elecpol_ovrsee yesno
{txt}
{com}.         
.         fre elecpol_ovrsee
{res}
{txt}elecpol_ovrsee {hline 2} Any politicians in unit overseeing service delivery
{txt}{hline 13}{hline 1}{c TT}{hline 44}
{txt}        {txt}      {c |}      Freq.    Percent      Valid       Cum.
{txt}{hline 13}{hline 1}{c +}{hline 44}
{txt}Valid   0 No  {c |}{res}          2       3.28       8.00       8.00
{txt}        1 Yes {c |}{res}         23      37.70      92.00     100.00
{txt}        Total {c |}{res}         25      40.98     100.00           
{txt}Missing .     {c |}{res}         36      59.02                      
{txt}Total         {c |}{res}         61     100.00                      
{txt}{hline 13}{hline 1}{c BT}{hline 44}

{com}.         
.         gen test_elecpol_ovrsee = (elecpol_ovrsee != .)
{txt}
{com}.         replace test_elecpol_ovrsee = . if asked_survey == 0
{txt}(37 real changes made, 37 to missing)

{com}.         fre test_elecpol_ovrsee
{res}
{txt}test_elecpol_ovrsee
{txt}{hline 9}{hline 1}{c TT}{hline 44}
{txt}        {txt}  {c |}      Freq.    Percent      Valid       Cum.
{txt}{hline 9}{hline 1}{c +}{hline 44}
{txt}Valid   1 {c |}{res}         24      39.34     100.00     100.00
{txt}Missing . {c |}{res}         37      60.66                      
{txt}Total     {c |}{res}         61     100.00                      
{txt}{hline 9}{hline 1}{c BT}{hline 44}

{com}.         assert inlist(test_elecpol_ovrsee,.,1)
{txt}
{com}.         
.         drop test_elecpol_ovrsee
{txt}
{com}.         
.         * title_elecpol
.         
.         lab var title_elecpol "Title of the highest-level elected politician in unit"
{txt}
{com}.         
.         gen test_title_elecpol = (title_elecpol != "")
{txt}
{com}.         replace test_title_elecpol = . if asked_survey == 0
{txt}(37 real changes made, 37 to missing)

{com}.         replace test_title_elecpol = . if elecpol_ovrsee == 0
{txt}(1 real change made, 1 to missing)

{com}.         fre test_title_elecpol
{res}
{txt}test_title_elecpol
{txt}{hline 9}{hline 1}{c TT}{hline 44}
{txt}        {txt}  {c |}      Freq.    Percent      Valid       Cum.
{txt}{hline 9}{hline 1}{c +}{hline 44}
{txt}Valid   1 {c |}{res}         23      37.70     100.00     100.00
{txt}Missing . {c |}{res}         38      62.30                      
{txt}Total     {c |}{res}         61     100.00                      
{txt}{hline 9}{hline 1}{c BT}{hline 44}

{com}.         assert inlist(test_title_elecpol,.,1)
{txt}
{com}.         
.         drop test_title_elecpol
{txt}
{com}.         
.         * aptpol_d
.         
.         fre aptpol_d
{res}
{txt}aptpol_d
{txt}{hline 38}{hline 1}{c TT}{hline 44}
{txt}        {txt}                               {c |}      Freq.    Percent      Valid       Cum.
{txt}{hline 38}{hline 1}{c +}{hline 44}
{txt}Valid   Do not know / Refuse to answer {c |}{res}          1       1.64       4.00       4.00
{txt}        No                             {c |}{res}         15      24.59      60.00      64.00
{txt}        Yes                            {c |}{res}          9      14.75      36.00     100.00
{txt}        Total                          {c |}{res}         25      40.98     100.00           
{txt}Missing                                {c |}{res}         36      59.02                      
{txt}Total                                  {c |}{res}         61     100.00                      
{txt}{hline 38}{hline 1}{c BT}{hline 44}

{com}.         
.         lab var aptpol_d "Politician appointed by higher politician in unit"
{txt}
{com}.         replace aptpol_d = "0" if aptpol_d == "No"
{txt}(15 real changes made)

{com}.         replace aptpol_d = "1" if aptpol_d == "Yes"
{txt}(9 real changes made)

{com}.         replace aptpol_d = "-98" if aptpol_d == "Do not know / Refuse to answer"
{txt}(1 real change made)

{com}.         destring aptpol_d, replace
{txt}aptpol_d: all characters numeric; {res}replaced {txt}as {res}byte
{txt}(36 missing values generated)
{res}{txt}
{com}.         lab val aptpol_d yesno
{txt}
{com}.         
.         fre aptpol_d
{res}
{txt}aptpol_d {hline 2} Politician appointed by higher politician in unit
{txt}{hline 15}{hline 1}{c TT}{hline 44}
{txt}        {txt}        {c |}      Freq.    Percent      Valid       Cum.
{txt}{hline 15}{hline 1}{c +}{hline 44}
{txt}Valid   -98     {c |}{res}          1       1.64       4.00       4.00
{txt}        0   No  {c |}{res}         15      24.59      60.00      64.00
{txt}        1   Yes {c |}{res}          9      14.75      36.00     100.00
{txt}        Total   {c |}{res}         25      40.98     100.00           
{txt}Missing .       {c |}{res}         36      59.02                      
{txt}Total           {c |}{res}         61     100.00                      
{txt}{hline 15}{hline 1}{c BT}{hline 44}

{com}.         
.         gen test_aptpol_d = (aptpol_d != .)
{txt}
{com}.         replace test_aptpol_d = . if asked_survey == 0
{txt}(37 real changes made, 37 to missing)

{com}.         fre test_aptpol_d
{res}
{txt}test_aptpol_d
{txt}{hline 9}{hline 1}{c TT}{hline 44}
{txt}        {txt}  {c |}      Freq.    Percent      Valid       Cum.
{txt}{hline 9}{hline 1}{c +}{hline 44}
{txt}Valid   1 {c |}{res}         24      39.34     100.00     100.00
{txt}Missing . {c |}{res}         37      60.66                      
{txt}Total     {c |}{res}         61     100.00                      
{txt}{hline 9}{hline 1}{c BT}{hline 44}

{com}.         assert inlist(test_aptpol_d,.,1)
{txt}
{com}.         
.         drop test_aptpol_d
{txt}
{com}.         
.         * pol_exist_d
.         
.         gen pol_exist_d = 0
{txt}
{com}.         replace pol_exist_d = 1 if aptpol_d == 1 | elecpol_ovrsee == 1
{txt}(23 real changes made)

{com}.         replace pol_exist_d = . if asked_survey == 0
{txt}(37 real changes made, 37 to missing)

{com}.         lab val pol_exist_d yesno
{txt}
{com}.         lab var pol_exist_d "1 if we have either an appointed or elected politician"
{txt}
{com}.         
.         fre pol_exist_d
{res}
{txt}pol_exist_d {hline 2} 1 if we have either an appointed or elected politician
{txt}{hline 13}{hline 1}{c TT}{hline 44}
{txt}        {txt}      {c |}      Freq.    Percent      Valid       Cum.
{txt}{hline 13}{hline 1}{c +}{hline 44}
{txt}Valid   0 No  {c |}{res}          1       1.64       4.17       4.17
{txt}        1 Yes {c |}{res}         23      37.70      95.83     100.00
{txt}        Total {c |}{res}         24      39.34     100.00           
{txt}Missing .     {c |}{res}         37      60.66                      
{txt}Total         {c |}{res}         61     100.00                      
{txt}{hline 13}{hline 1}{c BT}{hline 44}

{com}.         order pol_exist_d, after(aptpol_d)
{txt}
{com}.         
.         * title_aptpol
.         
.         lab var title_aptpol "Title of the highest-level appointed politician in unit"
{txt}
{com}.         
.         gen test_title_aptpol = (title_aptpol != "")
{txt}
{com}.         replace test_title_aptpol = . if asked_survey == 0 
{txt}(37 real changes made, 37 to missing)

{com}.         replace test_title_aptpol = . if aptpol_d == 0 | aptpol_d == -98
{txt}(15 real changes made, 15 to missing)

{com}.         fre test_title_aptpol
{res}
{txt}test_title_aptpol
{txt}{hline 9}{hline 1}{c TT}{hline 44}
{txt}        {txt}  {c |}      Freq.    Percent      Valid       Cum.
{txt}{hline 9}{hline 1}{c +}{hline 44}
{txt}Valid   1 {c |}{res}          9      14.75     100.00     100.00
{txt}Missing . {c |}{res}         52      85.25                      
{txt}Total     {c |}{res}         61     100.00                      
{txt}{hline 9}{hline 1}{c BT}{hline 44}

{com}.         assert inlist(test_title_aptpol,.,1)
{txt}
{com}.         
.         drop test_title_aptpol
{txt}
{com}.         
.         * who_aptpol
.         
.         lab var who_aptpol "Who appoints the highest-level appointed politician in unit"
{txt}
{com}.         
.         gen test_who_aptpol = (who_aptpol != "")
{txt}
{com}.         replace test_who_aptpol = . if asked_survey == 0 
{txt}(37 real changes made, 37 to missing)

{com}.         replace test_who_aptpol = . if aptpol_d == 0 | aptpol_d == -98
{txt}(15 real changes made, 15 to missing)

{com}.         fre test_who_aptpol
{res}
{txt}test_who_aptpol
{txt}{hline 9}{hline 1}{c TT}{hline 44}
{txt}        {txt}  {c |}      Freq.    Percent      Valid       Cum.
{txt}{hline 9}{hline 1}{c +}{hline 44}
{txt}Valid   1 {c |}{res}          9      14.75     100.00     100.00
{txt}Missing . {c |}{res}         52      85.25                      
{txt}Total     {c |}{res}         61     100.00                      
{txt}{hline 9}{hline 1}{c BT}{hline 44}

{com}.         assert inlist(test_who_aptpol,.,1)
{txt}
{com}.         
.         drop test_who_aptpol
{txt}
{com}.         
.         * mostinf_servdel
.         
.         lab var mostinf_servdel "More influential in determining quality of service"
{txt}
{com}.         
.         replace mostinf_servdel = "1" if regexm(mostinf_servdel,"Elected much more")
{txt}(5 real changes made)

{com}.         replace mostinf_servdel = "2" if regexm(mostinf_servdel,"Elected slightly more")
{txt}(0 real changes made)

{com}.         replace mostinf_servdel = "3" if regexm(mostinf_servdel,"About the same")
{txt}(1 real change made)

{com}.         replace mostinf_servdel = "4" if regexm(mostinf_servdel,"Appointed slightly more")
{txt}(0 real changes made)

{com}.         replace mostinf_servdel = "5" if regexm(mostinf_servdel,"Appointed much more")
{txt}(3 real changes made)

{com}.         destring mostinf_servdel, replace
{txt}mostinf_servdel: all characters numeric; {res}replaced {txt}as {res}byte
{txt}(52 missing values generated)
{res}{txt}
{com}.         lab def mostinf_servdel 1 "Elected much more influential" 2 "Elected slightly more influential" 3 "About the same" 4 "Appointed slightly more influential" 5 "Appointed much more influential"
{txt}
{com}.         lab val mostinf_servdel mostinf_servdel
{txt}
{com}.         
.         fre mostinf_servdel
{res}
{txt}mostinf_servdel {hline 2} More influential in determining quality of service
{txt}{hline 41}{hline 1}{c TT}{hline 44}
{txt}        {txt}                                  {c |}      Freq.    Percent      Valid       Cum.
{txt}{hline 41}{hline 1}{c +}{hline 44}
{txt}Valid   1 Elected much more influential   {c |}{res}          5       8.20      55.56      55.56
{txt}        3 About the same                  {c |}{res}          1       1.64      11.11      66.67
{txt}        5 Appointed much more influential {c |}{res}          3       4.92      33.33     100.00
{txt}        Total                             {c |}{res}          9      14.75     100.00           
{txt}Missing .                                 {c |}{res}         52      85.25                      
{txt}Total                                     {c |}{res}         61     100.00                      
{txt}{hline 41}{hline 1}{c BT}{hline 44}

{com}.         
.         gen test_mostinf_servdel = (mostinf_servdel != .)
{txt}
{com}.         replace test_mostinf_servdel = . if asked_survey == 0 
{txt}(37 real changes made, 37 to missing)

{com}.         replace test_mostinf_servdel = . if (inlist(aptpol_d,0,-98) | elecpol_ovrsee == 0)
{txt}(15 real changes made, 15 to missing)

{com}.         fre test_mostinf_servdel
{res}
{txt}test_mostinf_servdel
{txt}{hline 9}{hline 1}{c TT}{hline 44}
{txt}        {txt}  {c |}      Freq.    Percent      Valid       Cum.
{txt}{hline 9}{hline 1}{c +}{hline 44}
{txt}Valid   1 {c |}{res}          9      14.75     100.00     100.00
{txt}Missing . {c |}{res}         52      85.25                      
{txt}Total     {c |}{res}         61     100.00                      
{txt}{hline 9}{hline 1}{c BT}{hline 44}

{com}.         assert inlist(test_mostinf_servdel,.,1)
{txt}
{com}.         
.         drop test_mostinf_servdel
{txt}
{com}.         
.         * educ_elecpolbur
.         
.         lab var educ_elecpolbur "More educated bureaucrat or politician (elec. politician)"
{txt}
{com}.         
.         fre educ_elecpolbur
{res}
{txt}educ_elecpolbur {hline 2} More educated bureaucrat or politician (elec. politician)
{txt}{hline 55}{hline 1}{c TT}{hline 44}
{txt}        {txt}                                                {c |}      Freq.    Percent      Valid       Cum.
{txt}{hline 55}{hline 1}{c +}{hline 44}
{txt}Valid   About the same level of education               {c |}{res}          4       6.56      17.39      17.39
{txt}        Bureaucrats much more educated than Politicians {c |}{res}         13      21.31      56.52      73.91
{txt}        Bureaucrats slightly more educated than         {c |}{res}          6       9.84      26.09     100.00
{txt}        Politicians                                     {c |}{res}                                            
{txt}        Total                                           {c |}{res}         23      37.70     100.00           
{txt}Missing                                                 {c |}{res}         38      62.30                      
{txt}Total                                                   {c |}{res}         61     100.00                      
{txt}{hline 55}{hline 1}{c BT}{hline 44}

{com}.         
.         replace educ_elecpolbur = "1" if regexm(educ_elecpolbur,"Bureaucrats much more educated")
{txt}(13 real changes made)

{com}.         replace educ_elecpolbur = "2" if regexm(educ_elecpolbur,"Bureaucrats slightly more educated")
{txt}(6 real changes made)

{com}.         replace educ_elecpolbur = "3" if regexm(educ_elecpolbur,"About the same")
{txt}(4 real changes made)

{com}.         replace educ_elecpolbur = "4" if regexm(educ_elecpolbur,"Politicians slightly more educated")
{txt}(0 real changes made)

{com}.         replace educ_elecpolbur = "5" if regexm(educ_elecpolbur,"Politicians much more educated")
{txt}(0 real changes made)

{com}.         destring educ_elecpolbur, replace
{txt}educ_elecpolbur: all characters numeric; {res}replaced {txt}as {res}byte
{txt}(38 missing values generated)
{res}{txt}
{com}.         lab def educ_elecpolbur 1 "Bureaucrats much more educated" 2 "Bureaucrats slightly more educated" 3 "About the same" 4 "Politicians slightly more educated" 5 "Politicians much more educated"
{txt}
{com}.         lab val educ_elecpolbur educ_elecpolbur
{txt}
{com}.         
.         fre educ_elecpolbur
{res}
{txt}educ_elecpolbur {hline 2} More educated bureaucrat or politician (elec. politician)
{txt}{hline 44}{hline 1}{c TT}{hline 44}
{txt}        {txt}                                     {c |}      Freq.    Percent      Valid       Cum.
{txt}{hline 44}{hline 1}{c +}{hline 44}
{txt}Valid   1 Bureaucrats much more educated     {c |}{res}         13      21.31      56.52      56.52
{txt}        2 Bureaucrats slightly more educated {c |}{res}          6       9.84      26.09      82.61
{txt}        3 About the same                     {c |}{res}          4       6.56      17.39     100.00
{txt}        Total                                {c |}{res}         23      37.70     100.00           
{txt}Missing .                                    {c |}{res}         38      62.30                      
{txt}Total                                        {c |}{res}         61     100.00                      
{txt}{hline 44}{hline 1}{c BT}{hline 44}

{com}.         
.         gen test_educ_elecpolbur = (educ_elecpolbur != .)
{txt}
{com}.         replace test_educ_elecpolbur = . if asked_survey == 0 
{txt}(37 real changes made, 37 to missing)

{com}.         replace test_educ_elecpolbur = . if elecpol_ovrsee == 0
{txt}(1 real change made, 1 to missing)

{com}.         fre test_educ_elecpolbur
{res}
{txt}test_educ_elecpolbur
{txt}{hline 9}{hline 1}{c TT}{hline 44}
{txt}        {txt}  {c |}      Freq.    Percent      Valid       Cum.
{txt}{hline 9}{hline 1}{c +}{hline 44}
{txt}Valid   1 {c |}{res}         23      37.70     100.00     100.00
{txt}Missing . {c |}{res}         38      62.30                      
{txt}Total     {c |}{res}         61     100.00                      
{txt}{hline 9}{hline 1}{c BT}{hline 44}

{com}.         assert inlist(test_educ_elecpolbur,.,1)
{txt}
{com}.         
.         drop test_educ_elecpolbur
{txt}
{com}.         
.         * educ_apolbur
.         
.         lab var educ_apolbur "More educated bureaucrat or politician (app. politician) "
{txt}
{com}.         
.         fre educ_apolbur
{res}
{txt}educ_apolbur {hline 2} More educated bureaucrat or politician (app. politician) 
{txt}{hline 8}{hline 1}{c TT}{hline 44}
{txt}        {txt} {c |}      Freq.    Percent      Valid       Cum.
{txt}{hline 8}{hline 1}{c +}{hline 44}
{txt}Missing  {c |}{res}         61     100.00                      
{txt}{hline 8}{hline 1}{c BT}{hline 44}

{com}.         
.         replace educ_apolbur = "1" if regexm(educ_apolbur,"Bureaucrats much more educated")
{txt}(0 real changes made)

{com}.         replace educ_apolbur = "2" if regexm(educ_apolbur,"Bureaucrats slightly more educated")
{txt}(0 real changes made)

{com}.         replace educ_apolbur = "3" if regexm(educ_apolbur,"About the same")
{txt}(0 real changes made)

{com}.         replace educ_apolbur = "4" if regexm(educ_apolbur,"Politicians slightly more educated")
{txt}(0 real changes made)

{com}.         replace educ_apolbur = "5" if regexm(educ_apolbur,"Politicians much more educated")
{txt}(0 real changes made)

{com}.         destring educ_apolbur, replace
{txt}educ_apolbur: all characters numeric; {res}replaced {txt}as {res}byte
{txt}(61 missing values generated)
{res}{txt}
{com}.         lab def educ_apolbur 1 "Bureaucrats much more educated" 2 "Bureaucrats slightly more educated" 3 "About the same" 4 "Politicians slightly more educated" 5 "Politicians much more educated"
{txt}
{com}.         lab val educ_apolbur educ_apolbur
{txt}
{com}.         
.         fre educ_apolbur
{res}
{txt}educ_apolbur {hline 2} More educated bureaucrat or politician (app. politician) 
{txt}{hline 13}{hline 1}{c TT}{hline 44}
{txt}        {txt}      {c |}      Freq.    Percent      Valid       Cum.
{txt}{hline 13}{hline 1}{c +}{hline 44}
{txt}Missing .     {c |}{res}         61     100.00                      
{txt}{hline 13}{hline 1}{c BT}{hline 44}

{com}.         
.         gen test_educ_apolbur = (educ_apolbur != .)
{txt}
{com}.         replace test_educ_apolbur = . if asked_survey == 0
{txt}(37 real changes made, 37 to missing)

{com}.         replace test_educ_apolbur = . if aptpol_d == 0
{txt}(14 real changes made, 14 to missing)

{com}.         replace test_educ_apolbur = . if elecpol_ovrsee == 1 
{txt}(10 real changes made, 10 to missing)

{com}.         fre test_educ_apolbur
{res}
{txt}test_educ_apolbur
{txt}{hline 9}{hline 1}{c TT}{hline 44}
{txt}        {txt}  {c |}      Freq.    Percent      Valid       Cum.
{txt}{hline 9}{hline 1}{c +}{hline 44}
{txt}Missing . {c |}{res}         61     100.00                      
{txt}{hline 9}{hline 1}{c BT}{hline 44}

{com}.         assert inlist(test_educ_apolbur,.,1)
{txt}
{com}.         
.         drop test_educ_apolbur
{txt}
{com}.         
.         * slry_elecpolbur
.         
.         lab var slry_elecpolbur "Earning more bureaucrat or politician (elec. politician)"
{txt}
{com}.         
.         fre slry_elecpolbur
{res}
{txt}slry_elecpolbur {hline 2} Earning more bureaucrat or politician (elec. politician)
{txt}{hline 55}{hline 1}{c TT}{hline 44}
{txt}        {txt}                                                {c |}      Freq.    Percent      Valid       Cum.
{txt}{hline 55}{hline 1}{c +}{hline 44}
{txt}Valid   Both earn about the same                        {c |}{res}          4       6.56      17.39      17.39
{txt}        Bureaucrats earn much more than Politicians     {c |}{res}          5       8.20      21.74      39.13
{txt}        Bureaucrats earn slightly more than Politicians {c |}{res}          3       4.92      13.04      52.17
{txt}        Politicians earn much more than Bureaucrats     {c |}{res}          6       9.84      26.09      78.26
{txt}        Politicians earn slightly more than Bureaucrats {c |}{res}          5       8.20      21.74     100.00
{txt}        Total                                           {c |}{res}         23      37.70     100.00           
{txt}Missing                                                 {c |}{res}         38      62.30                      
{txt}Total                                                   {c |}{res}         61     100.00                      
{txt}{hline 55}{hline 1}{c BT}{hline 44}

{com}.         
.         replace slry_elecpolbur = "1" if regexm(slry_elecpolbur,"Bureaucrats earn much")
{txt}(5 real changes made)

{com}.         replace slry_elecpolbur = "2" if regexm(slry_elecpolbur,"Bureaucrats earn slightly")
{txt}(3 real changes made)

{com}.         replace slry_elecpolbur = "3" if regexm(slry_elecpolbur,"Both earn")
{txt}(4 real changes made)

{com}.         replace slry_elecpolbur = "4" if regexm(slry_elecpolbur,"Politicians earn slightly")
{txt}(5 real changes made)

{com}.         replace slry_elecpolbur = "5" if regexm(slry_elecpolbur,"Politicians earn much")
{txt}(6 real changes made)

{com}.         destring slry_elecpolbur, replace
{txt}slry_elecpolbur: all characters numeric; {res}replaced {txt}as {res}byte
{txt}(38 missing values generated)
{res}{txt}
{com}.         lab def slry_elecpolbur 1 "Bureaucrats earn much more" 2 "Bureaucrats earn slightly more" 3 "Both earn the same" 4 "Politicians earn slightly" 5 "Politicians earn much more"
{txt}
{com}.         lab val slry_elecpolbur slry_elecpolbur
{txt}
{com}.         
.         fre slry_elecpolbur
{res}
{txt}slry_elecpolbur {hline 2} Earning more bureaucrat or politician (elec. politician)
{txt}{hline 40}{hline 1}{c TT}{hline 44}
{txt}        {txt}                                 {c |}      Freq.    Percent      Valid       Cum.
{txt}{hline 40}{hline 1}{c +}{hline 44}
{txt}Valid   1 Bureaucrats earn much more     {c |}{res}          5       8.20      21.74      21.74
{txt}        2 Bureaucrats earn slightly more {c |}{res}          3       4.92      13.04      34.78
{txt}        3 Both earn the same             {c |}{res}          4       6.56      17.39      52.17
{txt}        4 Politicians earn slightly      {c |}{res}          5       8.20      21.74      73.91
{txt}        5 Politicians earn much more     {c |}{res}          6       9.84      26.09     100.00
{txt}        Total                            {c |}{res}         23      37.70     100.00           
{txt}Missing .                                {c |}{res}         38      62.30                      
{txt}Total                                    {c |}{res}         61     100.00                      
{txt}{hline 40}{hline 1}{c BT}{hline 44}

{com}.         
.         gen test_slry_elecpolbur = (slry_elecpolbur != .)
{txt}
{com}.         replace test_slry_elecpolbur = . if asked_survey == 0 
{txt}(37 real changes made, 37 to missing)

{com}.         replace test_slry_elecpolbur = . if elecpol_ovrsee == 0
{txt}(1 real change made, 1 to missing)

{com}.         fre test_slry_elecpolbur
{res}
{txt}test_slry_elecpolbur
{txt}{hline 9}{hline 1}{c TT}{hline 44}
{txt}        {txt}  {c |}      Freq.    Percent      Valid       Cum.
{txt}{hline 9}{hline 1}{c +}{hline 44}
{txt}Valid   1 {c |}{res}         23      37.70     100.00     100.00
{txt}Missing . {c |}{res}         38      62.30                      
{txt}Total     {c |}{res}         61     100.00                      
{txt}{hline 9}{hline 1}{c BT}{hline 44}

{com}.         assert inlist(test_slry_elecpolbur,.,1)
{txt}
{com}.         
.         drop test_slry_elecpolbur
{txt}
{com}.         
.         * slry_apolbur
.         
.         lab var slry_apolbur "Earning more bureaucrat or politician (app. politician)"
{txt}
{com}.         
.         fre slry_apolbur
{res}
{txt}slry_apolbur {hline 2} Earning more bureaucrat or politician (app. politician)
{txt}{hline 8}{hline 1}{c TT}{hline 44}
{txt}        {txt} {c |}      Freq.    Percent      Valid       Cum.
{txt}{hline 8}{hline 1}{c +}{hline 44}
{txt}Missing  {c |}{res}         61     100.00                      
{txt}{hline 8}{hline 1}{c BT}{hline 44}

{com}.         
.         replace slry_apolbur = "1" if regexm(slry_apolbur,"Bureaucrats earn much")
{txt}(0 real changes made)

{com}.         replace slry_apolbur = "2" if regexm(slry_apolbur,"Bureaucrats earn slightly")
{txt}(0 real changes made)

{com}.         replace slry_apolbur = "3" if regexm(slry_apolbur,"Both earn")
{txt}(0 real changes made)

{com}.         replace slry_apolbur = "4" if regexm(slry_apolbur,"Politicians earn slightly")
{txt}(0 real changes made)

{com}.         replace slry_apolbur = "5" if regexm(slry_apolbur,"Politicians earn much")
{txt}(0 real changes made)

{com}.         destring slry_apolbur, replace
{txt}slry_apolbur: all characters numeric; {res}replaced {txt}as {res}byte
{txt}(61 missing values generated)
{res}{txt}
{com}.         lab def slry_apolbur 1 "Bureaucrats earn much more" 2 "Bureaucrats earn slightly more" 3 "Both earn the same" 4 "Politicians earn slightly" 5 "Politicians earn much more"
{txt}
{com}.         lab val slry_apolbur slry_apolbur
{txt}
{com}.         
.         fre slry_apolbur
{res}
{txt}slry_apolbur {hline 2} Earning more bureaucrat or politician (app. politician)
{txt}{hline 13}{hline 1}{c TT}{hline 44}
{txt}        {txt}      {c |}      Freq.    Percent      Valid       Cum.
{txt}{hline 13}{hline 1}{c +}{hline 44}
{txt}Missing .     {c |}{res}         61     100.00                      
{txt}{hline 13}{hline 1}{c BT}{hline 44}

{com}.         
.         gen test_slry_apolbur = (slry_apolbur != .)
{txt}
{com}.         replace test_slry_apolbur = . if asked_survey == 0
{txt}(37 real changes made, 37 to missing)

{com}.         replace test_slry_apolbur = . if aptpol_d == 0
{txt}(14 real changes made, 14 to missing)

{com}.         replace test_slry_apolbur = . if elecpol_ovrsee == 1 
{txt}(10 real changes made, 10 to missing)

{com}.         fre test_slry_apolbur
{res}
{txt}test_slry_apolbur
{txt}{hline 9}{hline 1}{c TT}{hline 44}
{txt}        {txt}  {c |}      Freq.    Percent      Valid       Cum.
{txt}{hline 9}{hline 1}{c +}{hline 44}
{txt}Missing . {c |}{res}         61     100.00                      
{txt}{hline 9}{hline 1}{c BT}{hline 44}

{com}.         assert inlist(test_slry_apolbur,.,1)
{txt}
{com}.         
.         drop test_slry_apolbur
{txt}
{com}.         
.         * We merge the payment module
.         
.         merge m:1 responseid using "`payment_module'"
{res}
{txt}{col 5}Result{col 38}# of obs.
{col 5}{hline 41}
{col 5}not matched{col 30}{res}               0
{txt}{col 5}matched{col 30}{res}              61{txt}  (_merge==3)
{col 5}{hline 41}

{com}.         drop _merge
{txt}
{com}.         order donate_d org_donation_id paid_status, after(duration_minutes)
{txt}
{com}.         
.         * fdout_epol_bgt
.         
.         lab var fdout_epol_bgt "Easy to find out about envelop (elec. politician)"
{txt}
{com}.         
.         fre fdout_epol_bgt
{res}
{txt}fdout_epol_bgt {hline 2} Easy to find out about envelop (elec. politician)
{txt}{hline 26}{hline 1}{c TT}{hline 44}
{txt}        {txt}                   {c |}      Freq.    Percent      Valid       Cum.
{txt}{hline 26}{hline 1}{c +}{hline 44}
{txt}Valid   Somewhat difficult {c |}{res}          3       4.92      13.04      13.04
{txt}        Somewhat easy      {c |}{res}          6       9.84      26.09      39.13
{txt}        Very easy          {c |}{res}         14      22.95      60.87     100.00
{txt}        Total              {c |}{res}         23      37.70     100.00           
{txt}Missing                    {c |}{res}         38      62.30                      
{txt}Total                      {c |}{res}         61     100.00                      
{txt}{hline 26}{hline 1}{c BT}{hline 44}

{com}.         
.         replace fdout_epol_bgt = "1" if regexm(fdout_epol_bgt,"Very easy")
{txt}(14 real changes made)

{com}.         replace fdout_epol_bgt = "2" if regexm(fdout_epol_bgt,"Somewhat easy")
{txt}(6 real changes made)

{com}.         replace fdout_epol_bgt = "3" if regexm(fdout_epol_bgt,"Somewhat difficult")
{txt}(3 real changes made)

{com}.         replace fdout_epol_bgt = "4" if regexm(fdout_epol_bgt,"Very difficult")
{txt}(0 real changes made)

{com}.         replace fdout_epol_bgt = "5" if regexm(fdout_epol_bgt,"Not applicable")
{txt}(0 real changes made)

{com}.         replace fdout_epol_bgt = "6" if regexm(fdout_epol_bgt,"Do not know")
{txt}(0 real changes made)

{com}.         
.         destring fdout_epol_bgt, replace
{txt}fdout_epol_bgt: all characters numeric; {res}replaced {txt}as {res}byte
{txt}(38 missing values generated)
{res}{txt}
{com}.         lab def fdout_epol_bgt 1 "Very easy" 2 "Somewhat easy" 3 "Somewhat difficult" 4 "Very difficult" 5 "Not applicable, this level of government has no spending power" 6 "Do not know / Refuse to answer"
{txt}
{com}.         lab val fdout_epol_bgt fdout_epol_bgt
{txt}
{com}.         
.         fre fdout_epol_bgt
{res}
{txt}fdout_epol_bgt {hline 2} Easy to find out about envelop (elec. politician)
{txt}{hline 28}{hline 1}{c TT}{hline 44}
{txt}        {txt}                     {c |}      Freq.    Percent      Valid       Cum.
{txt}{hline 28}{hline 1}{c +}{hline 44}
{txt}Valid   1 Very easy          {c |}{res}         14      22.95      60.87      60.87
{txt}        2 Somewhat easy      {c |}{res}          6       9.84      26.09      86.96
{txt}        3 Somewhat difficult {c |}{res}          3       4.92      13.04     100.00
{txt}        Total                {c |}{res}         23      37.70     100.00           
{txt}Missing .                    {c |}{res}         38      62.30                      
{txt}Total                        {c |}{res}         61     100.00                      
{txt}{hline 28}{hline 1}{c BT}{hline 44}

{com}.         
.         gen test_fdout_epol_bgt = (fdout_epol_bgt != .)
{txt}
{com}.         replace test_fdout_epol_bgt = . if asked_survey == 0 
{txt}(37 real changes made, 37 to missing)

{com}.         replace test_fdout_epol_bgt = . if elecpol_ovrsee == 0
{txt}(1 real change made, 1 to missing)

{com}.         fre test_fdout_epol_bgt
{res}
{txt}test_fdout_epol_bgt
{txt}{hline 9}{hline 1}{c TT}{hline 44}
{txt}        {txt}  {c |}      Freq.    Percent      Valid       Cum.
{txt}{hline 9}{hline 1}{c +}{hline 44}
{txt}Valid   1 {c |}{res}         23      37.70     100.00     100.00
{txt}Missing . {c |}{res}         38      62.30                      
{txt}Total     {c |}{res}         61     100.00                      
{txt}{hline 9}{hline 1}{c BT}{hline 44}

{com}.         assert inlist(test_fdout_epol_bgt,.,1)
{txt}
{com}.         
.         drop test_fdout_epol_bgt
{txt}
{com}.         
.         * fdout_apol_bgt
.         
.         lab var fdout_apol_bgt "Easy to find out about envelop (app. politician)"
{txt}
{com}.         
.         fre fdout_apol_bgt
{res}
{txt}fdout_apol_bgt {hline 2} Easy to find out about envelop (app. politician)
{txt}{hline 8}{hline 1}{c TT}{hline 44}
{txt}        {txt} {c |}      Freq.    Percent      Valid       Cum.
{txt}{hline 8}{hline 1}{c +}{hline 44}
{txt}Missing  {c |}{res}         61     100.00                      
{txt}{hline 8}{hline 1}{c BT}{hline 44}

{com}.         
.         replace fdout_apol_bgt = "1" if regexm(fdout_apol_bgt,"Very easy")
{txt}(0 real changes made)

{com}.         replace fdout_apol_bgt = "2" if regexm(fdout_apol_bgt,"Somewhat easy")
{txt}(0 real changes made)

{com}.         replace fdout_apol_bgt = "3" if regexm(fdout_apol_bgt,"Somewhat difficult")
{txt}(0 real changes made)

{com}.         replace fdout_apol_bgt = "4" if regexm(fdout_apol_bgt,"Very difficult")
{txt}(0 real changes made)

{com}.         replace fdout_apol_bgt = "5" if regexm(fdout_apol_bgt,"Not applicable")
{txt}(0 real changes made)

{com}.         replace fdout_apol_bgt = "6" if regexm(fdout_apol_bgt,"Do not know")
{txt}(0 real changes made)

{com}.         
.         destring fdout_apol_bgt, replace
{txt}fdout_apol_bgt: all characters numeric; {res}replaced {txt}as {res}byte
{txt}(61 missing values generated)
{res}{txt}
{com}.         lab def fdout_apol_bgt 1 "Very easy" 2 "Somewhat easy" 3 "Somewhat difficult" 4 "Very difficult" 5 "Not applicable, this level of government has no spending power" 6 "Do not know / Refuse to answer"
{txt}
{com}.         lab val fdout_apol_bgt fdout_apol_bgt
{txt}
{com}.         
.         fre fdout_apol_bgt
{res}
{txt}fdout_apol_bgt {hline 2} Easy to find out about envelop (app. politician)
{txt}{hline 13}{hline 1}{c TT}{hline 44}
{txt}        {txt}      {c |}      Freq.    Percent      Valid       Cum.
{txt}{hline 13}{hline 1}{c +}{hline 44}
{txt}Missing .     {c |}{res}         61     100.00                      
{txt}{hline 13}{hline 1}{c BT}{hline 44}

{com}.         
.         gen test_fdout_apol_bgt = (fdout_apol_bgt != .)
{txt}
{com}.         replace test_fdout_apol_bgt = . if asked_survey == 0
{txt}(37 real changes made, 37 to missing)

{com}.         replace test_fdout_apol_bgt = . if aptpol_d == 0
{txt}(14 real changes made, 14 to missing)

{com}.         replace test_fdout_apol_bgt = . if elecpol_ovrsee == 1 
{txt}(10 real changes made, 10 to missing)

{com}.         fre test_fdout_apol_bgt
{res}
{txt}test_fdout_apol_bgt
{txt}{hline 9}{hline 1}{c TT}{hline 44}
{txt}        {txt}  {c |}      Freq.    Percent      Valid       Cum.
{txt}{hline 9}{hline 1}{c +}{hline 44}
{txt}Missing . {c |}{res}         61     100.00                      
{txt}{hline 9}{hline 1}{c BT}{hline 44}

{com}.         assert inlist(test_fdout_apol_bgt,.,1)
{txt}
{com}.         
.         drop test_fdout_apol_bgt
{txt}
{com}.         
.         * budsect_epol
.         
.         lab var budsect_epol "Find about budget allocation to sectors (elec. politician)"
{txt}
{com}.         
.         fre budsect_epol
{res}
{txt}budsect_epol {hline 2} Find about budget allocation to sectors (elec. politician)
{txt}{hline 26}{hline 1}{c TT}{hline 44}
{txt}        {txt}                   {c |}      Freq.    Percent      Valid       Cum.
{txt}{hline 26}{hline 1}{c +}{hline 44}
{txt}Valid   Somewhat difficult {c |}{res}          2       3.28       8.70       8.70
{txt}        Somewhat easy      {c |}{res}          4       6.56      17.39      26.09
{txt}        Very difficult     {c |}{res}          1       1.64       4.35      30.43
{txt}        Very easy          {c |}{res}          9      14.75      39.13      69.57
{txt}        Somewhat easy      {c |}{res}          1       1.64       4.35      73.91
{txt}        Very easy          {c |}{res}          6       9.84      26.09     100.00
{txt}        Total              {c |}{res}         23      37.70     100.00           
{txt}Missing                    {c |}{res}         38      62.30                      
{txt}Total                      {c |}{res}         61     100.00                      
{txt}{hline 26}{hline 1}{c BT}{hline 44}

{com}.         
.         replace budsect_epol = "1" if regexm(budsect_epol,"Very easy")
{txt}(15 real changes made)

{com}.         replace budsect_epol = "2" if regexm(budsect_epol,"Somewhat easy")
{txt}(5 real changes made)

{com}.         replace budsect_epol = "3" if regexm(budsect_epol,"Somewhat difficult")
{txt}(2 real changes made)

{com}.         replace budsect_epol = "4" if regexm(budsect_epol,"Very difficult")
{txt}(1 real change made)

{com}.         replace budsect_epol = "5" if regexm(budsect_epol,"Not applicable")
{txt}(0 real changes made)

{com}.         replace budsect_epol = "6" if regexm(budsect_epol,"Do not know")
{txt}(0 real changes made)

{com}.         
.         destring budsect_epol, replace
{txt}budsect_epol: all characters numeric; {res}replaced {txt}as {res}byte
{txt}(38 missing values generated)
{res}{txt}
{com}.         lab def budsect_epol 1 "Very easy" 2 "Somewhat easy" 3 "Somewhat difficult" 4 "Very difficult" 5 "Not applicable, this level of government has no spending power" 6 "Do not know / Refuse to answer"
{txt}
{com}.         lab val budsect_epol budsect_epol
{txt}
{com}.         
.         fre budsect_epol
{res}
{txt}budsect_epol {hline 2} Find about budget allocation to sectors (elec. politician)
{txt}{hline 28}{hline 1}{c TT}{hline 44}
{txt}        {txt}                     {c |}      Freq.    Percent      Valid       Cum.
{txt}{hline 28}{hline 1}{c +}{hline 44}
{txt}Valid   1 Very easy          {c |}{res}         15      24.59      65.22      65.22
{txt}        2 Somewhat easy      {c |}{res}          5       8.20      21.74      86.96
{txt}        3 Somewhat difficult {c |}{res}          2       3.28       8.70      95.65
{txt}        4 Very difficult     {c |}{res}          1       1.64       4.35     100.00
{txt}        Total                {c |}{res}         23      37.70     100.00           
{txt}Missing .                    {c |}{res}         38      62.30                      
{txt}Total                        {c |}{res}         61     100.00                      
{txt}{hline 28}{hline 1}{c BT}{hline 44}

{com}.         
.         gen test_budsect_epol = (budsect_epol != .)
{txt}
{com}.         replace test_budsect_epol = . if asked_survey == 0 
{txt}(37 real changes made, 37 to missing)

{com}.         replace test_budsect_epol = . if elecpol_ovrsee == 0
{txt}(1 real change made, 1 to missing)

{com}.         fre test_budsect_epol
{res}
{txt}test_budsect_epol
{txt}{hline 9}{hline 1}{c TT}{hline 44}
{txt}        {txt}  {c |}      Freq.    Percent      Valid       Cum.
{txt}{hline 9}{hline 1}{c +}{hline 44}
{txt}Valid   1 {c |}{res}         23      37.70     100.00     100.00
{txt}Missing . {c |}{res}         38      62.30                      
{txt}Total     {c |}{res}         61     100.00                      
{txt}{hline 9}{hline 1}{c BT}{hline 44}

{com}.         assert inlist(test_budsect_epol,.,1)
{txt}
{com}.         
.         drop test_budsect_epol
{txt}
{com}.         
.         * budsect_apol
.         
.         lab var budsect_apol "Find about budget allocation to sectors (app. politician)"
{txt}
{com}.         
.         fre budsect_apol
{res}
{txt}budsect_apol {hline 2} Find about budget allocation to sectors (app. politician)
{txt}{hline 8}{hline 1}{c TT}{hline 44}
{txt}        {txt} {c |}      Freq.    Percent      Valid       Cum.
{txt}{hline 8}{hline 1}{c +}{hline 44}
{txt}Missing  {c |}{res}         61     100.00                      
{txt}{hline 8}{hline 1}{c BT}{hline 44}

{com}.         
.         replace budsect_apol = "1" if regexm(budsect_apol,"Very easy")
{txt}(0 real changes made)

{com}.         replace budsect_apol = "2" if regexm(budsect_apol,"Somewhat easy")
{txt}(0 real changes made)

{com}.         replace budsect_apol = "3" if regexm(budsect_apol,"Somewhat difficult")
{txt}(0 real changes made)

{com}.         replace budsect_apol = "4" if regexm(budsect_apol,"Very difficult")
{txt}(0 real changes made)

{com}.         replace budsect_apol = "5" if regexm(budsect_apol,"Not applicable")
{txt}(0 real changes made)

{com}.         replace budsect_apol = "6" if regexm(budsect_apol,"Do not know")
{txt}(0 real changes made)

{com}.         
.         destring budsect_apol, replace
{txt}budsect_apol: all characters numeric; {res}replaced {txt}as {res}byte
{txt}(61 missing values generated)
{res}{txt}
{com}.         lab def budsect_apol 1 "Very easy" 2 "Somewhat easy" 3 "Somewhat difficult" 4 "Very difficult" 5 "Not applicable, this level of government has no spending power" 6 "Do not know / Refuse to answer"
{txt}
{com}.         lab val budsect_apol budsect_apol
{txt}
{com}.         
.         fre budsect_apol
{res}
{txt}budsect_apol {hline 2} Find about budget allocation to sectors (app. politician)
{txt}{hline 13}{hline 1}{c TT}{hline 44}
{txt}        {txt}      {c |}      Freq.    Percent      Valid       Cum.
{txt}{hline 13}{hline 1}{c +}{hline 44}
{txt}Missing .     {c |}{res}         61     100.00                      
{txt}{hline 13}{hline 1}{c BT}{hline 44}

{com}.         
.         gen test_budsect_apol = (budsect_apol != .)
{txt}
{com}.         replace test_budsect_apol = . if asked_survey == 0
{txt}(37 real changes made, 37 to missing)

{com}.         replace test_budsect_apol = . if aptpol_d == 0
{txt}(14 real changes made, 14 to missing)

{com}.         replace test_budsect_apol = . if elecpol_ovrsee == 1 
{txt}(10 real changes made, 10 to missing)

{com}.         fre test_budsect_apol
{res}
{txt}test_budsect_apol
{txt}{hline 9}{hline 1}{c TT}{hline 44}
{txt}        {txt}  {c |}      Freq.    Percent      Valid       Cum.
{txt}{hline 9}{hline 1}{c +}{hline 44}
{txt}Missing . {c |}{res}         61     100.00                      
{txt}{hline 9}{hline 1}{c BT}{hline 44}

{com}.         assert inlist(test_budsect_apol,.,1)
{txt}
{com}.         
.         drop test_budsect_apol
{txt}
{com}.         
.         * acinfexp_epol
.         
.         lab var acinfexp_epol "Obtain detailed info about expenditures (elec. politician)"
{txt}
{com}.         
.         fre acinfexp_epol
{res}
{txt}acinfexp_epol {hline 2} Obtain detailed info about expenditures (elec. politician)
{txt}{hline 26}{hline 1}{c TT}{hline 44}
{txt}        {txt}                   {c |}      Freq.    Percent      Valid       Cum.
{txt}{hline 26}{hline 1}{c +}{hline 44}
{txt}Valid   Somewhat difficult {c |}{res}          5       8.20      21.74      21.74
{txt}        Somewhat easy      {c |}{res}          3       4.92      13.04      34.78
{txt}        Very difficult     {c |}{res}          1       1.64       4.35      39.13
{txt}        Very easy          {c |}{res}         14      22.95      60.87     100.00
{txt}        Total              {c |}{res}         23      37.70     100.00           
{txt}Missing                    {c |}{res}         38      62.30                      
{txt}Total                      {c |}{res}         61     100.00                      
{txt}{hline 26}{hline 1}{c BT}{hline 44}

{com}.         
.         replace acinfexp_epol = "1" if regexm(acinfexp_epol,"Very easy")
{txt}(14 real changes made)

{com}.         replace acinfexp_epol = "2" if regexm(acinfexp_epol,"Somewhat easy")
{txt}(3 real changes made)

{com}.         replace acinfexp_epol = "3" if regexm(acinfexp_epol,"Somewhat difficult")
{txt}(5 real changes made)

{com}.         replace acinfexp_epol = "4" if regexm(acinfexp_epol,"Very difficult")
{txt}(1 real change made)

{com}.         replace acinfexp_epol = "5" if regexm(acinfexp_epol,"Not applicable")
{txt}(0 real changes made)

{com}.         replace acinfexp_epol = "6" if regexm(acinfexp_epol,"Do not know")
{txt}(0 real changes made)

{com}.         
.         destring acinfexp_epol, replace
{txt}acinfexp_epol: all characters numeric; {res}replaced {txt}as {res}byte
{txt}(38 missing values generated)
{res}{txt}
{com}.         lab def acinfexp_epol 1 "Very easy" 2 "Somewhat easy" 3 "Somewhat difficult" 4 "Very difficult" 5 "Not applicable, this level of government has no spending power" 6 "Do not know / Refuse to answer"
{txt}
{com}.         lab val acinfexp_epol acinfexp_epol
{txt}
{com}.         
.         fre acinfexp_epol
{res}
{txt}acinfexp_epol {hline 2} Obtain detailed info about expenditures (elec. politician)
{txt}{hline 28}{hline 1}{c TT}{hline 44}
{txt}        {txt}                     {c |}      Freq.    Percent      Valid       Cum.
{txt}{hline 28}{hline 1}{c +}{hline 44}
{txt}Valid   1 Very easy          {c |}{res}         14      22.95      60.87      60.87
{txt}        2 Somewhat easy      {c |}{res}          3       4.92      13.04      73.91
{txt}        3 Somewhat difficult {c |}{res}          5       8.20      21.74      95.65
{txt}        4 Very difficult     {c |}{res}          1       1.64       4.35     100.00
{txt}        Total                {c |}{res}         23      37.70     100.00           
{txt}Missing .                    {c |}{res}         38      62.30                      
{txt}Total                        {c |}{res}         61     100.00                      
{txt}{hline 28}{hline 1}{c BT}{hline 44}

{com}.         
.         gen test_acinfexp_epol = (acinfexp_epol != .)
{txt}
{com}.         replace test_acinfexp_epol = . if asked_survey == 0 
{txt}(37 real changes made, 37 to missing)

{com}.         replace test_acinfexp_epol = . if elecpol_ovrsee == 0
{txt}(1 real change made, 1 to missing)

{com}.         fre test_acinfexp_epol
{res}
{txt}test_acinfexp_epol
{txt}{hline 9}{hline 1}{c TT}{hline 44}
{txt}        {txt}  {c |}      Freq.    Percent      Valid       Cum.
{txt}{hline 9}{hline 1}{c +}{hline 44}
{txt}Valid   1 {c |}{res}         23      37.70     100.00     100.00
{txt}Missing . {c |}{res}         38      62.30                      
{txt}Total     {c |}{res}         61     100.00                      
{txt}{hline 9}{hline 1}{c BT}{hline 44}

{com}.         assert inlist(test_acinfexp_epol,.,1)
{txt}
{com}.         
.         drop test_acinfexp_epol
{txt}
{com}.         
.         * acinfexp_apol
.         
.         lab var acinfexp_apol "Obtain detailed info about expenditures (app. politician)"
{txt}
{com}.         
.         fre acinfexp_apol
{res}
{txt}acinfexp_apol {hline 2} Obtain detailed info about expenditures (app. politician)
{txt}{hline 8}{hline 1}{c TT}{hline 44}
{txt}        {txt} {c |}      Freq.    Percent      Valid       Cum.
{txt}{hline 8}{hline 1}{c +}{hline 44}
{txt}Missing  {c |}{res}         61     100.00                      
{txt}{hline 8}{hline 1}{c BT}{hline 44}

{com}.         
.         replace acinfexp_apol = "1" if regexm(acinfexp_apol,"Very easy")
{txt}(0 real changes made)

{com}.         replace acinfexp_apol = "2" if regexm(acinfexp_apol,"Somewhat easy")
{txt}(0 real changes made)

{com}.         replace acinfexp_apol = "3" if regexm(acinfexp_apol,"Somewhat difficult")
{txt}(0 real changes made)

{com}.         replace acinfexp_apol = "4" if regexm(acinfexp_apol,"Very difficult")
{txt}(0 real changes made)

{com}.         replace acinfexp_apol = "5" if regexm(acinfexp_apol,"Not applicable")
{txt}(0 real changes made)

{com}.         replace acinfexp_apol = "6" if regexm(acinfexp_apol,"Do not know")
{txt}(0 real changes made)

{com}.         
.         destring acinfexp_apol, replace
{txt}acinfexp_apol: all characters numeric; {res}replaced {txt}as {res}byte
{txt}(61 missing values generated)
{res}{txt}
{com}.         lab def acinfexp_apol 1 "Very easy" 2 "Somewhat easy" 3 "Somewhat difficult" 4 "Very difficult" 5 "Not applicable, this level of government has no spending power" 6 "Do not know / Refuse to answer"
{txt}
{com}.         lab val acinfexp_apol acinfexp_apol
{txt}
{com}.         
.         fre acinfexp_apol
{res}
{txt}acinfexp_apol {hline 2} Obtain detailed info about expenditures (app. politician)
{txt}{hline 13}{hline 1}{c TT}{hline 44}
{txt}        {txt}      {c |}      Freq.    Percent      Valid       Cum.
{txt}{hline 13}{hline 1}{c +}{hline 44}
{txt}Missing .     {c |}{res}         61     100.00                      
{txt}{hline 13}{hline 1}{c BT}{hline 44}

{com}.         
.         gen test_acinfexp_apol = (acinfexp_apol != .)
{txt}
{com}.         replace test_acinfexp_apol = . if asked_survey == 0
{txt}(37 real changes made, 37 to missing)

{com}.         replace test_acinfexp_apol = . if aptpol_d == 0
{txt}(14 real changes made, 14 to missing)

{com}.         replace test_acinfexp_apol = . if elecpol_ovrsee == 1 
{txt}(10 real changes made, 10 to missing)

{com}.         fre test_acinfexp_apol
{res}
{txt}test_acinfexp_apol
{txt}{hline 9}{hline 1}{c TT}{hline 44}
{txt}        {txt}  {c |}      Freq.    Percent      Valid       Cum.
{txt}{hline 9}{hline 1}{c +}{hline 44}
{txt}Missing . {c |}{res}         61     100.00                      
{txt}{hline 9}{hline 1}{c BT}{hline 44}

{com}.         assert inlist(test_acinfexp_apol,.,1)
{txt}
{com}.         
.         drop test_acinfexp_apol
{txt}
{com}.         
.         * understand_epol
.         
.         lab var understand_epol "Has capacity to read/understand budget (elec. politician)"
{txt}
{com}.         
.         fre understand_epol
{res}
{txt}understand_epol {hline 2} Has capacity to read/understand budget (elec. politician)
{txt}{hline 28}{hline 1}{c TT}{hline 44}
{txt}        {txt}                     {c |}      Freq.    Percent      Valid       Cum.
{txt}{hline 28}{hline 1}{c +}{hline 44}
{txt}Valid   Definitely capable   {c |}{res}          1       1.64       5.26       5.26
{txt}        Only with difficulty {c |}{res}          2       3.28      10.53      15.79
{txt}        Somewhat capable     {c |}{res}          9      14.75      47.37      63.16
{txt}        Definitely capable   {c |}{res}          2       3.28      10.53      73.68
{txt}        Only with difficulty {c |}{res}          1       1.64       5.26      78.95
{txt}        Somewhat capable     {c |}{res}          4       6.56      21.05     100.00
{txt}        Total                {c |}{res}         19      31.15     100.00           
{txt}Missing                      {c |}{res}         42      68.85                      
{txt}Total                        {c |}{res}         61     100.00                      
{txt}{hline 28}{hline 1}{c BT}{hline 44}

{com}.         
.         replace understand_epol = "1" if regexm(understand_epol,"Definitely capable")
{txt}(3 real changes made)

{com}.         replace understand_epol = "2" if regexm(understand_epol,"Somewhat capable")
{txt}(13 real changes made)

{com}.         replace understand_epol = "3" if regexm(understand_epol,"Only with difficulty")
{txt}(3 real changes made)

{com}.         replace understand_epol = "4" if regexm(understand_epol,"Not capable")
{txt}(0 real changes made)

{com}.         replace understand_epol = "5" if regexm(understand_epol,"Do not know")
{txt}(0 real changes made)

{com}.         
.         fre understand_epol
{res}
{txt}understand_epol {hline 2} Has capacity to read/understand budget (elec. politician)
{txt}{hline 13}{hline 1}{c TT}{hline 44}
{txt}        {txt}      {c |}      Freq.    Percent      Valid       Cum.
{txt}{hline 13}{hline 1}{c +}{hline 44}
{txt}Valid   1     {c |}{res}          3       4.92      15.79      15.79
{txt}        2     {c |}{res}         13      21.31      68.42      84.21
{txt}        3     {c |}{res}          3       4.92      15.79     100.00
{txt}        Total {c |}{res}         19      31.15     100.00           
{txt}Missing       {c |}{res}         42      68.85                      
{txt}Total         {c |}{res}         61     100.00                      
{txt}{hline 13}{hline 1}{c BT}{hline 44}

{com}.         
.         destring understand_epol, replace
{txt}understand_epol: all characters numeric; {res}replaced {txt}as {res}byte
{txt}(42 missing values generated)
{res}{txt}
{com}.         lab def understand_epol 1 "Definitely capable" 2 "Somewhat capable" 3 "Only with difficulty" 4 "Not capable" 5 "Do not know / Refuse to answer"
{txt}
{com}.         lab val understand_epol understand_epol
{txt}
{com}.         
.         fre understand_epol
{res}
{txt}understand_epol {hline 2} Has capacity to read/understand budget (elec. politician)
{txt}{hline 30}{hline 1}{c TT}{hline 44}
{txt}        {txt}                       {c |}      Freq.    Percent      Valid       Cum.
{txt}{hline 30}{hline 1}{c +}{hline 44}
{txt}Valid   1 Definitely capable   {c |}{res}          3       4.92      15.79      15.79
{txt}        2 Somewhat capable     {c |}{res}         13      21.31      68.42      84.21
{txt}        3 Only with difficulty {c |}{res}          3       4.92      15.79     100.00
{txt}        Total                  {c |}{res}         19      31.15     100.00           
{txt}Missing .                      {c |}{res}         42      68.85                      
{txt}Total                          {c |}{res}         61     100.00                      
{txt}{hline 30}{hline 1}{c BT}{hline 44}

{com}.         
.         gen test_understand_epol = (understand_epol != .)
{txt}
{com}.         replace test_understand_epol = . if asked_survey == 0 
{txt}(37 real changes made, 37 to missing)

{com}.         replace test_understand_epol = . if elecpol_ovrsee == 0
{txt}(1 real change made, 1 to missing)

{com}.         fre test_understand_epol
{res}
{txt}test_understand_epol
{txt}{hline 13}{hline 1}{c TT}{hline 44}
{txt}        {txt}      {c |}      Freq.    Percent      Valid       Cum.
{txt}{hline 13}{hline 1}{c +}{hline 44}
{txt}Valid   0     {c |}{res}          4       6.56      17.39      17.39
{txt}        1     {c |}{res}         19      31.15      82.61     100.00
{txt}        Total {c |}{res}         23      37.70     100.00           
{txt}Missing .     {c |}{res}         38      62.30                      
{txt}Total         {c |}{res}         61     100.00                      
{txt}{hline 13}{hline 1}{c BT}{hline 44}

{com}.         assert inlist(test_understand_epol,.,1)
{txt}4 contradictions in 61 observations
{err}assertion is false
{txt}{search r(9), local:r(9);}

end of do-file

{search r(9), local:r(9);}

{com}. edit if test_understand_epol == 0

. do "/var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//SD44938.000000"
{txt}
{com}. 
.         * Purpose: Importing data to run HFC
.         
.         * Setting up globals
.         
.         if "`c(username)'" == "fredericcochinard" {c -(}
.                 
.                 global import_folder "/Users/fredericcochinard/Dropbox/Expert survey/Data/0.survey_dataset/0.import"
.                 global output "/Users/fredericcochinard/Dropbox/Expert survey/Data/0.survey_dataset/1.output"
.                 
.                 {c )-}
{txt}
{com}.                 
.         if "`c(username)'" == "" {c -(}
.         
.                 
.                 {c )-}
{txt}
{com}.         
.         * Looking for renaming folder with problem
.         
.         local myfiles: dir "$import_folder" files "*.xlsx"
{txt}
{com}. 
.         foreach file of local myfiles {c -(}
{txt}  2{com}.                 
.                 local subfile = substr("`file'", 1, .)
{txt}  3{com}.                 local subfile : subinstr local subfile " " "_", all
{txt}  4{com}.                 ! mv "${c -(}import_folder{c )-}/`file'" "${c -(}import_folder{c )-}/`subfile'"
{txt}  5{com}.                 
.                 {c )-}
{txt}

{com}.         
.         * Looking for dataset
.         
.         filelist , dir("$import_folder") pat("*.xlsx")
{res}{txt}Number of files found = {res}1
{txt}
{com}.         
.         gen url = filename
{txt}
{com}.         
.         levelsof url
{txt}`"Expert_survey_February_18,_2025_16.23.xlsx"'

{com}. 
.         local lvlfiles `r(levels)'
{txt}
{com}.         
.         local z = 0
{txt}
{com}.         
.         foreach lvl of local lvlfiles {c -(}
{txt}  2{com}.         
.                 local z = `z' + 1
{txt}  3{com}.                 
.                 local temp : subinstr local lvl `"""' "", all
{txt}  4{com}.                 local url : subinstr local temp "'" "", all
{txt}  5{com}.         
.                 import excel "${c -(}import_folder{c )-}/`url'", first case(lower) clear
{txt}  6{com}.                 
.                 gen num = _n
{txt}  7{com}.                 drop if num == 1
{txt}  8{com}.                 
.                 * Preparing the append
.                 
.                 tempfile data`z'
{txt}  9{com}.                 sa "`data`z''"
{txt} 10{com}.                 
.                 {c )-}
{res}{txt}(1 observation deleted)
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.000001 saved

{com}.                 
.         * We append the dataset to start cleaning
.         
.         use "`data1'", clear
{txt}
{com}.         
.         forvalues x = 2/`z' {c -(}
{txt}  2{com}.         
.                 append using "`data`x''"
{txt}  3{com}.                 
.                 {c )-}
{txt}
{com}.                 
.         duplicates drop

{p 0 4}{txt}Duplicates in terms of {txt} all variables{p_end}

(0 observations are duplicates)

{com}.         
.         e

{txt}end of do-file


{com}. do "/var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//SD44938.000000"
{txt}
{com}. 
.         * Purpose: Importing data to run HFC
.         
.         * Setting up globals
.         
.         if "`c(username)'" == "fredericcochinard" {c -(}
.                 
.                 global import_folder "/Users/fredericcochinard/Dropbox/Expert survey/Data/0.survey_dataset/0.import"
.                 global output "/Users/fredericcochinard/Dropbox/Expert survey/Data/0.survey_dataset/1.output"
.                 
.                 {c )-}
{txt}
{com}.                 
.         if "`c(username)'" == "" {c -(}
.         
.                 
.                 {c )-}
{txt}
{com}.         
.         * Looking for renaming folder with problem
.         
.         local myfiles: dir "$import_folder" files "*.xlsx"
{txt}
{com}. 
.         foreach file of local myfiles {c -(}
{txt}  2{com}.                 
.                 local subfile = substr("`file'", 1, .)
{txt}  3{com}.                 local subfile : subinstr local subfile " " "_", all
{txt}  4{com}.                 ! mv "${c -(}import_folder{c )-}/`file'" "${c -(}import_folder{c )-}/`subfile'"
{txt}  5{com}.                 
.                 {c )-}
{txt}

{com}.         
.         * Looking for dataset
.         
.         filelist , dir("$import_folder") pat("*.xlsx")
{res}{txt}Number of files found = {res}1
{txt}
{com}.         
.         gen url = filename
{txt}
{com}.         
.         levelsof url
{txt}`"Expert_survey_February_18,_2025_16.23.xlsx"'

{com}. 
.         local lvlfiles `r(levels)'
{txt}
{com}.         
.         local z = 0
{txt}
{com}.         
.         foreach lvl of local lvlfiles {c -(}
{txt}  2{com}.         
.                 local z = `z' + 1
{txt}  3{com}.                 
.                 local temp : subinstr local lvl `"""' "", all
{txt}  4{com}.                 local url : subinstr local temp "'" "", all
{txt}  5{com}.         
.                 import excel "${c -(}import_folder{c )-}/`url'", first case(lower) clear
{txt}  6{com}.                 
.                 gen num = _n
{txt}  7{com}.                 drop if num == 1
{txt}  8{com}.                 
.                 * Preparing the append
.                 
.                 tempfile data`z'
{txt}  9{com}.                 sa "`data`z''"
{txt} 10{com}.                 
.                 {c )-}
{res}{txt}(1 observation deleted)
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.000001 saved

{com}.                 
.         * We append the dataset to start cleaning
.         
.         use "`data1'", clear
{txt}
{com}.         
.         forvalues x = 2/`z' {c -(}
{txt}  2{com}.         
.                 append using "`data`x''"
{txt}  3{com}.                 
.                 {c )-}
{txt}
{com}.                 
.         duplicates drop

{p 0 4}{txt}Duplicates in terms of {txt} all variables{p_end}

(0 observations are duplicates)

{com}.         
.         * We keep relevant variable
.         drop if recipientemail == "frederic.cochinard@gmail.com"
{txt}(8 observations deleted)

{com}.         drop if recipientemail == "vedpant+spanish@college.harvard.edu"
{txt}(1 observation deleted)

{com}.         drop if recipientemail == "frederic.cochinard+3@gmail.com"
{txt}(1 observation deleted)

{com}.         drop if recipientemail == "frederic.cochinard+1@gmail.com"
{txt}(1 observation deleted)

{com}.         
.         * We remove observation that are not finished
.         drop if finished == "False"
{txt}(9 observations deleted)

{com}.         
.         * We create a save
.         
.         tempfile save_data
{txt}
{com}.         sa "`save_data'"
{txt}file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.000002 saved

{com}.         
.         ******************
.         * Payment module *
.         ******************
.         
.         preserve
{txt}
{com}.         
.         keep responseid method_pay_bank_in_q-q977
{txt}
{com}.         compress
  {txt}variable {bf}method_pay_bank_in_q{sf} was {bf}{res}str237{sf}{txt} now {bf}{res}str24{sf}
  {txt}variable {bf}expert_donation_org{sf} was {bf}{res}str129{sf}{txt} now {bf}{res}str23{sf}
  {txt}variable {bf}q967{sf} was {bf}{res}str236{sf}{txt} now {bf}{res}str65{sf}
  {txt}variable {bf}q978{sf} was {bf}{res}str326{sf}{txt} now {bf}{res}str16{sf}
  {txt}variable {bf}q979{sf} was {bf}{res}str104{sf}{txt} now {bf}{res}str39{sf}
  {txt}variable {bf}q980{sf} was {bf}{res}str95{sf}{txt} now {bf}{res}str11{sf}
  {txt}variable {bf}q987{sf} was {bf}{res}str170{sf}{txt} now {bf}{res}str24{sf}
  {txt}variable {bf}q984{sf} was {bf}{res}str326{sf}{txt} now {bf}{res}str1{sf}
  {txt}variable {bf}q985{sf} was {bf}{res}str104{sf}{txt} now {bf}{res}str1{sf}
  {txt}variable {bf}q986{sf} was {bf}{res}str95{sf}{txt} now {bf}{res}str1{sf}
  {txt}variable {bf}q988{sf} was {bf}{res}str170{sf}{txt} now {bf}{res}str1{sf}
  {txt}variable {bf}q989{sf} was {bf}{res}str559{sf}{txt} now {bf}{res}str1{sf}
  {txt}variable {bf}q990{sf} was {bf}{res}str102{sf}{txt} now {bf}{res}str1{sf}
  {txt}variable {bf}q991{sf} was {bf}{res}str93{sf}{txt} now {bf}{res}str1{sf}
  {txt}variable {bf}q992{sf} was {bf}{res}str170{sf}{txt} now {bf}{res}str1{sf}
  {txt}variable {bf}q998{sf} was {bf}{res}str537{sf}{txt} now {bf}{res}str1{sf}
  {txt}variable {bf}q997{sf} was {bf}{res}str105{sf}{txt} now {bf}{res}str1{sf}
  {txt}variable {bf}q999{sf} was {bf}{res}str104{sf}{txt} now {bf}{res}str1{sf}
  {txt}variable {bf}q1000{sf} was {bf}{res}str95{sf}{txt} now {bf}{res}str1{sf}
  {txt}variable {bf}q1001{sf} was {bf}{res}str170{sf}{txt} now {bf}{res}str1{sf}
  {txt}variable {bf}q977{sf} was {bf}{res}str502{sf}{txt} now {bf}{res}str23{sf}
{txt}  (46,101 bytes saved)

{com}.         
.         * Donate_d
.         
.         gen donate_d = 0
{txt}
{com}.         replace donate_d = 1 if method_pay_bank_in_q == "I prefer to donate"
{txt}(3 real changes made)

{com}.         
.         * Special case
.         replace donate_d = 1 if responseid == "R_4ouc7tR6BFj3gpb" // respondent is refusing to take money in comments
{txt}(1 real change made)

{com}.         replace donate_d = 1 if responseid == "R_4Iow7YzsoT2KTOx" // respondent is writing cancel in comments
{txt}(1 real change made)

{com}.         
.         lab var donate_d "Respondent decided to donate"
{txt}
{com}.         lab def donate_d 0 "No" 1 "Yes"
{txt}
{com}.         lab val donate_d donate_d
{txt}
{com}.         order donate_d, after(responseid)
{txt}
{com}.         
.         * Org
.         
.         gen org_donation_id = "" 
{txt}(11 missing values generated)

{com}.         replace org_donation_id = expert_donation_org if donate_d == 1
{txt}variable {bf}org_donation_id{sf} was {bf}{res}str1{sf}{txt} now {bf}{res}str23{sf}
{txt}(3 real changes made)

{com}.         replace org_donation_id = "No choice" if donate_d == 1 & org_donation_id == ""
{txt}(2 real changes made)

{com}.         lab var org_donation_id "Name of the organization the respondent chose to donate"
{txt}
{com}.         order org_donation_id, after(donate_d)
{txt}
{com}.         
.         * Paid status
.         
.         gen paid_status = 0
{txt}
{com}.         replace paid_status = 2 if donate_d == 1
{txt}(5 real changes made)

{com}.         
.         * Case of payment
.         
.         lab var paid_status "Status of payment of the respondent"
{txt}
{com}.         lab def paid_status 0 "Not yet" 1 "Yes" 2 "Donation"
{txt}
{com}.         lab val paid_status paid_status
{txt}
{com}.         order paid_status, after(org_donation_id)
{txt}
{com}.         
.         keep responseid donate_d org_donation_id paid_status
{txt}
{com}.         
.         tempfile payment_module
{txt}
{com}.         sa "`payment_module'"
{txt}file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.000004 saved

{com}.         
.         restore
{txt}
{com}.         
.         * Main form of survey 
.         keep country full_name recipientemail responseid progress durationinseconds finished userlanguage num_unit confirmation_* ///
>         title_bur* elecpol_ovrsee* title_elecpol* aptpol_d* title_aptpol* who_aptpol* mostinf_servdel* educ_elecpolbur* ///
>         educ_apolbur* slry_elecpolbur* slry_apolbur* fdout_epol_bgt* fdout_apol_bgt* budsect_epol* budsect_apol* acinfexp_epol* /// 
>         acinfexp_apol* understand_epol* understand_apol* acttake_epol* acttake_epol* acttake_apol* acttake_apol* likely* why_likchan* /// 
>         who_apt_bur* who_apt_bur* who_fir_bur* who_fir_bur* ocap_epol* ocap_apol* prio_epol* prio_apol* overall_conf* avg_educ_epol* ///
>         avg_educ_apol* avg_educ_buro* avg_slry_epol* avg_slry_apol* avg_slry_buro* //
{txt}
{com}.         
.         destring durationinseconds progress, replace
{txt}durationinseconds: all characters numeric; {res}replaced {txt}as {res}int
{txt}progress: all characters numeric; {res}replaced {txt}as {res}byte
{txt}
{com}.         replace durationinseconds = round(durationinseconds/60)
{txt}(11 real changes made)

{com}.         ren durationinseconds duration_minutes
{res}{txt}
{com}. 
.         *--
.         
.         local id country full_name recipientemail responseid userlanguage num_unit finished progress duration_minutes
{txt}
{com}.         
.         order `id', first
{txt}
{com}.         duplicates drop `id', force

{p 0 4}{txt}Duplicates in terms of {res} country full_name recipientemail responseid userlanguage num_unit finished progress duration_minutes{p_end}

{txt}(0 observations are duplicates)

{com}.         
.         * Renaming others
.         
.         forvalues x = 1/3 {c -(}
{txt}  2{com}.                 
.                 forvalues y = 1/6 {c -(} 
{txt}  3{com}.                 
.                         cap ren who_apt_bur_`x'_`y'_8_text who_apt_buroth_`x'_`y'
{txt}  4{com}.                         cap ren who_fir_bur_`x'_`y'_8_text who_fir_buroth_`x'_`y'
{txt}  5{com}.                         cap ren acttake_epol_`x'_`y'_9_text acttake_epoloth_`x'_`y'
{txt}  6{com}.                         cap ren acttake_apol_`x'_`y'_9_text acttake_apoloth_`x'_`y'
{txt}  7{com}.                         
.                         {c )-}
{txt}  8{com}.                         
.                 {c )-}
{txt}
{com}.         
.         #delimit ;
{txt}delimiter now ;
{com}.         local var confirmation
>         title_bur 
>         elecpol_ovrsee
>         title_elecpol
>         aptpol_d
>         title_aptpol
>         who_aptpol
>         mostinf_servdel
>         educ_elecpolbur
>         educ_apolbur
>         slry_elecpolbur
>         slry_apolbur
>         fdout_epol_bgt
>         fdout_apol_bgt
>         budsect_epol
>         budsect_apol
>         acinfexp_epol
>         acinfexp_apol
>         understand_epol
>         understand_apol
>         acttake_epol
>         acttake_epoloth
>         acttake_apol
>         acttake_apoloth
>         likely
>         why_likchan
>         who_apt_bur
>         who_apt_buroth
>         who_fir_bur
>         who_fir_buroth
>         ocap_epol
>         ocap_apol
>         prio_epol
>         prio_apol
>         overall_conf
>         avg_educ_epol
>         avg_educ_apol
>         avg_educ_buro
>         avg_slry_epol
>         avg_slry_apol
>         avg_slry_buro
>         
>         ;
{txt}
{com}.                 #delimit cr
{txt}delimiter now cr
{com}. 
.         reshape long `var', i(`id') j(pos) s
{txt}(note: j = _1_1 _1_4 _1_5 _1_6 _2_1 _2_2 _2_4 _2_5 _2_6 _3_1 _3_2 _3_3 _3_4 _3_5 _3_6)
(note: confirmation_1_4 not found)
(note: confirmation_1_5 not found)
(note: confirmation_1_6 not found)
(note: confirmation_2_4 not found)
(note: confirmation_2_5 not found)
(note: confirmation_2_6 not found)
(note: confirmation_3_4 not found)
(note: confirmation_3_5 not found)
(note: confirmation_3_6 not found)

Data{col 36}wide{col 43}->{col 48}long
{hline 77}
Number of obs.                 {res}      11   {txt}->{res}     165
{txt}Number of variables            {res}     615   {txt}->{res}      51
{txt}j variable (15 values)                    ->   {res}pos
{txt}xij variables:
{res}confirmation_1_1 confirmation_1_4 ... confirmation_3_6{txt}->{res}confirmation
title_bur_1_1 title_bur_1_4 ... title_bur_3_6{txt}->{res}title_bur
elecpol_ovrsee_1_1 elecpol_ovrsee_1_4 ... elecpol_ovrsee_3_6{txt}->{res}elecpol_ovrsee
title_elecpol_1_1 title_elecpol_1_4 ... title_elecpol_3_6{txt}->{res}title_elecpol
aptpol_d_1_1 aptpol_d_1_4 ... aptpol_d_3_6{txt}->   {res}aptpol_d
title_aptpol_1_1 title_aptpol_1_4 ... title_aptpol_3_6{txt}->{res}title_aptpol
who_aptpol_1_1 who_aptpol_1_4 ... who_aptpol_3_6{txt}->{res}who_aptpol
mostinf_servdel_1_1 mostinf_servdel_1_4 ... mostinf_servdel_3_6{txt}->{res}mostinf_servdel
educ_elecpolbur_1_1 educ_elecpolbur_1_4 ... educ_elecpolbur_3_6{txt}->{res}educ_elecpolbur
educ_apolbur_1_1 educ_apolbur_1_4 ... educ_apolbur_3_6{txt}->{res}educ_apolbur
slry_elecpolbur_1_1 slry_elecpolbur_1_4 ... slry_elecpolbur_3_6{txt}->{res}slry_elecpolbur
slry_apolbur_1_1 slry_apolbur_1_4 ... slry_apolbur_3_6{txt}->{res}slry_apolbur
fdout_epol_bgt_1_1 fdout_epol_bgt_1_4 ... fdout_epol_bgt_3_6{txt}->{res}fdout_epol_bgt
fdout_apol_bgt_1_1 fdout_apol_bgt_1_4 ... fdout_apol_bgt_3_6{txt}->{res}fdout_apol_bgt
budsect_epol_1_1 budsect_epol_1_4 ... budsect_epol_3_6{txt}->{res}budsect_epol
budsect_apol_1_1 budsect_apol_1_4 ... budsect_apol_3_6{txt}->{res}budsect_apol
acinfexp_epol_1_1 acinfexp_epol_1_4 ... acinfexp_epol_3_6{txt}->{res}acinfexp_epol
acinfexp_apol_1_1 acinfexp_apol_1_4 ... acinfexp_apol_3_6{txt}->{res}acinfexp_apol
understand_epol_1_1 understand_epol_1_4 ... understand_epol_3_6{txt}->{res}understand_epol
understand_apol_1_1 understand_apol_1_4 ... understand_apol_3_6{txt}->{res}understand_apol
acttake_epol_1_1 acttake_epol_1_4 ... acttake_epol_3_6{txt}->{res}acttake_epol
acttake_epoloth_1_1 acttake_epoloth_1_4 ... acttake_epoloth_3_6{txt}->{res}acttake_epoloth
acttake_apol_1_1 acttake_apol_1_4 ... acttake_apol_3_6{txt}->{res}acttake_apol
acttake_apoloth_1_1 acttake_apoloth_1_4 ... acttake_apoloth_3_6{txt}->{res}acttake_apoloth
   likely_1_1 likely_1_4 ... likely_3_6   {txt}->   {res}likely
why_likchan_1_1 why_likchan_1_4 ... why_likchan_3_6{txt}->{res}why_likchan
who_apt_bur_1_1 who_apt_bur_1_4 ... who_apt_bur_3_6{txt}->{res}who_apt_bur
who_apt_buroth_1_1 who_apt_buroth_1_4 ... who_apt_buroth_3_6{txt}->{res}who_apt_buroth
who_fir_bur_1_1 who_fir_bur_1_4 ... who_fir_bur_3_6{txt}->{res}who_fir_bur
who_fir_buroth_1_1 who_fir_buroth_1_4 ... who_fir_buroth_3_6{txt}->{res}who_fir_buroth
ocap_epol_1_1 ocap_epol_1_4 ... ocap_epol_3_6{txt}->{res}ocap_epol
ocap_apol_1_1 ocap_apol_1_4 ... ocap_apol_3_6{txt}->{res}ocap_apol
prio_epol_1_1 prio_epol_1_4 ... prio_epol_3_6{txt}->{res}prio_epol
prio_apol_1_1 prio_apol_1_4 ... prio_apol_3_6{txt}->{res}prio_apol
overall_conf_1_1 overall_conf_1_4 ... overall_conf_3_6{txt}->{res}overall_conf
avg_educ_epol_1_1 avg_educ_epol_1_4 ... avg_educ_epol_3_6{txt}->{res}avg_educ_epol
avg_educ_apol_1_1 avg_educ_apol_1_4 ... avg_educ_apol_3_6{txt}->{res}avg_educ_apol
avg_educ_buro_1_1 avg_educ_buro_1_4 ... avg_educ_buro_3_6{txt}->{res}avg_educ_buro
avg_slry_epol_1_1 avg_slry_epol_1_4 ... avg_slry_epol_3_6{txt}->{res}avg_slry_epol
avg_slry_apol_1_1 avg_slry_apol_1_4 ... avg_slry_apol_3_6{txt}->{res}avg_slry_apol
avg_slry_buro_1_1 avg_slry_buro_1_4 ... avg_slry_buro_3_6{txt}->{res}avg_slry_buro
{txt}{hline 77}

{com}.         
.         * Filter data
.         
.         split pos, p("_")
{res}variables created as string: 
{txt}{col 1}pos1{col 7}pos2{col 13}pos3

{com}.         
.         drop pos1
{txt}
{com}.         ren pos2 case_n_unit
{res}{txt}
{com}.         ren pos3 unit_num
{res}{txt}
{com}.         destring case_n_unit unit_num, replace
{txt}case_n_unit: all characters numeric; {res}replaced {txt}as {res}byte
{txt}unit_num: all characters numeric; {res}replaced {txt}as {res}byte
{txt}
{com}.         order case_n_unit unit_num, after(duration_minutes)
{txt}
{com}.         drop pos
{txt}
{com}.         
.         destring num_unit, replace
{txt}num_unit: all characters numeric; {res}replaced {txt}as {res}byte
{txt}
{com}.         drop if num_unit != case_n_unit
{txt}(104 observations deleted)

{com}.         drop num_unit
{txt}
{com}.         
.         compress
  {txt}variable {bf}country{sf} was {bf}{res}str15{sf}{txt} now {bf}{res}str11{sf}
  {txt}variable {bf}full_name{sf} was {bf}{res}str28{sf}{txt} now {bf}{res}str23{sf}
  {txt}variable {bf}recipientemail{sf} was {bf}{res}str35{sf}{txt} now {bf}{res}str32{sf}
  {txt}variable {bf}userlanguage{sf} was {bf}{res}str13{sf}{txt} now {bf}{res}str2{sf}
  {txt}variable {bf}finished{sf} was {bf}{res}str8{sf}{txt} now {bf}{res}str4{sf}
  {txt}variable {bf}title_bur{sf} was {bf}{res}str448{sf}{txt} now {bf}{res}str235{sf}
  {txt}variable {bf}elecpol_ovrsee{sf} was {bf}{res}str352{sf}{txt} now {bf}{res}str3{sf}
  {txt}variable {bf}title_elecpol{sf} was {bf}{res}str312{sf}{txt} now {bf}{res}str288{sf}
  {txt}variable {bf}aptpol_d{sf} was {bf}{res}str332{sf}{txt} now {bf}{res}str30{sf}
  {txt}variable {bf}who_aptpol{sf} was {bf}{res}str96{sf}{txt} now {bf}{res}str84{sf}
  {txt}variable {bf}mostinf_servdel{sf} was {bf}{res}str256{sf}{txt} now {bf}{res}str44{sf}
  {txt}variable {bf}educ_elecpolbur{sf} was {bf}{res}str258{sf}{txt} now {bf}{res}str51{sf}
  {txt}variable {bf}educ_apolbur{sf} was {bf}{res}str260{sf}{txt} now {bf}{res}str1{sf}
  {txt}variable {bf}slry_elecpolbur{sf} was {bf}{res}str316{sf}{txt} now {bf}{res}str47{sf}
  {txt}variable {bf}slry_apolbur{sf} was {bf}{res}str318{sf}{txt} now {bf}{res}str1{sf}
  {txt}variable {bf}fdout_epol_bgt{sf} was {bf}{res}str373{sf}{txt} now {bf}{res}str19{sf}
  {txt}variable {bf}fdout_apol_bgt{sf} was {bf}{res}str375{sf}{txt} now {bf}{res}str1{sf}
  {txt}variable {bf}budsect_epol{sf} was {bf}{res}str217{sf}{txt} now {bf}{res}str19{sf}
  {txt}variable {bf}budsect_apol{sf} was {bf}{res}str219{sf}{txt} now {bf}{res}str1{sf}
  {txt}variable {bf}acinfexp_epol{sf} was {bf}{res}str216{sf}{txt} now {bf}{res}str19{sf}
  {txt}variable {bf}acinfexp_apol{sf} was {bf}{res}str218{sf}{txt} now {bf}{res}str1{sf}
  {txt}variable {bf}understand_epol{sf} was {bf}{res}str214{sf}{txt} now {bf}{res}str21{sf}
  {txt}variable {bf}understand_apol{sf} was {bf}{res}str216{sf}{txt} now {bf}{res}str21{sf}
  {txt}variable {bf}acttake_epol{sf} was {bf}{res}str247{sf}{txt} now {bf}{res}str163{sf}
  {txt}variable {bf}acttake_epoloth{sf} was {bf}{res}str261{sf}{txt} now {bf}{res}str63{sf}
  {txt}variable {bf}acttake_apol{sf} was {bf}{res}str250{sf}{txt} now {bf}{res}str1{sf}
  {txt}variable {bf}acttake_apoloth{sf} was {bf}{res}str264{sf}{txt} now {bf}{res}str1{sf}
  {txt}variable {bf}likely{sf} was {bf}{res}str159{sf}{txt} now {bf}{res}str18{sf}
  {txt}variable {bf}who_apt_bur{sf} was {bf}{res}str126{sf}{txt} now {bf}{res}str64{sf}
  {txt}variable {bf}who_fir_bur{sf} was {bf}{res}str120{sf}{txt} now {bf}{res}str64{sf}
  {txt}variable {bf}who_fir_buroth{sf} was {bf}{res}str134{sf}{txt} now {bf}{res}str77{sf}
  {txt}variable {bf}ocap_epol{sf} was {bf}{res}str359{sf}{txt} now {bf}{res}str55{sf}
  {txt}variable {bf}ocap_apol{sf} was {bf}{res}str361{sf}{txt} now {bf}{res}str1{sf}
  {txt}variable {bf}prio_epol{sf} was {bf}{res}str209{sf}{txt} now {bf}{res}str73{sf}
  {txt}variable {bf}prio_apol{sf} was {bf}{res}str211{sf}{txt} now {bf}{res}str1{sf}
  {txt}variable {bf}overall_conf{sf} was {bf}{res}str191{sf}{txt} now {bf}{res}str17{sf}
  {txt}variable {bf}avg_educ_buro{sf} was {bf}{res}str117{sf}{txt} now {bf}{res}str101{sf}
  {txt}variable {bf}avg_slry_apol{sf} was {bf}{res}str134{sf}{txt} now {bf}{res}str128{sf}
  {txt}variable {bf}avg_slry_buro{sf} was {bf}{res}str134{sf}{txt} now {bf}{res}str87{sf}
  {txt}variable {bf}confirmation{sf} was {bf}{res}str1148{sf}{txt} now {bf}{res}str63{sf}
{txt}  (462,685 bytes saved)

{com}.         
.         * We edit the label 
.         
.         lab var country "Country"
{txt}
{com}.         lab var full_name  "Full name of recipient"
{txt}
{com}.         lab var recipientemail "Recipient email"
{txt}
{com}.         lab var userlanguage "Language used to answer"
{txt}
{com}.         lab var finished "Completion status"
{txt}
{com}.         lab var progress "Progress"
{txt}
{com}.         lab var duration_minutes "Duration in minutes"
{txt}
{com}.         lab var case_n_unit "Original number of entities"
{txt}
{com}.         lab var unit_num "Unit number"
{txt}
{com}.         
.         * Confirmation
.         
.         fre confirmation
{res}
{txt}confirmation
{txt}{hline 54}{hline 1}{c TT}{hline 44}
{txt}        {txt}                                               {c |}      Freq.    Percent      Valid       Cum.
{txt}{hline 54}{hline 1}{c +}{hline 44}
{txt}Valid   No, this is inaccurate. This level needs to be {c |}{res}          2       3.28       7.14       7.14
{txt}        replaced/deleted                               {c |}{res}                                            
{txt}        No, this level needs to be replaced/deleted    {c |}{res}          2       3.28       7.14      14.29
{txt}        Yes, this is accurate                          {c |}{res}         24      39.34      85.71     100.00
{txt}        Total                                          {c |}{res}         28      45.90     100.00           
{txt}Missing                                                {c |}{res}         33      54.10                      
{txt}Total                                                  {c |}{res}         61     100.00                      
{txt}{hline 54}{hline 1}{c BT}{hline 44}

{com}.         replace confirmation = "1" if confirmation == "Yes, this is accurate"
{txt}(24 real changes made)

{com}.         replace confirmation = "0" if regexm(confirmation,"No")
{txt}(4 real changes made)

{com}.         destring confirmation, replace
{txt}confirmation: all characters numeric; {res}replaced {txt}as {res}byte
{txt}(33 missing values generated)
{res}{txt}
{com}.         
.         lab var confirmation "Confirmation of adequacy of unit"
{txt}
{com}.         lab def confirmation 0 "No, this is not accurate. It should be replaced/deleted" 1 "Yes, this is accurate"
{txt}
{com}.         lab val confirmation confirmation
{txt}
{com}.         
.         fre confirmation
{res}
{txt}confirmation {hline 2} Confirmation of adequacy of unit
{txt}{hline 48}{hline 1}{c TT}{hline 44}
{txt}        {txt}                                         {c |}      Freq.    Percent      Valid       Cum.
{txt}{hline 48}{hline 1}{c +}{hline 44}
{txt}Valid   0 No, this is not accurate. It should be {c |}{res}          4       6.56      14.29      14.29
{txt}          replaced/deleted                       {c |}{res}                                            
{txt}        1 Yes, this is accurate                  {c |}{res}         24      39.34      85.71     100.00
{txt}        Total                                    {c |}{res}         28      45.90     100.00           
{txt}Missing .                                        {c |}{res}         33      54.10                      
{txt}Total                                            {c |}{res}         61     100.00                      
{txt}{hline 48}{hline 1}{c BT}{hline 44}

{com}.         
.         order confirmation, after(unit_num)
{txt}
{com}.         
.         * Creating variable about asked_survey (should be updated)
.         
.         gen asked_survey = 0
{txt}
{com}.         replace asked_survey = 1 if confirmation == 1
{txt}(24 real changes made)

{com}.         lab var asked_survey "Survey question asked to respondent"
{txt}
{com}.         lab def yesno 0 "No" 1 "Yes"
{txt}
{com}.         lab val asked_survey yesno
{txt}
{com}.         order asked_survey, after(confirmation)
{txt}
{com}.         
.         * title_bur
.         
.         lab var title_bur "Title of the highest-level bureaucrat in unit"
{txt}
{com}.         
.         gen test_title_bur = (title_bur != "")
{txt}
{com}.         replace test_title_bur = . if asked_survey == 0
{txt}(37 real changes made, 37 to missing)

{com}.         fre test_title_bur
{res}
{txt}test_title_bur
{txt}{hline 9}{hline 1}{c TT}{hline 44}
{txt}        {txt}  {c |}      Freq.    Percent      Valid       Cum.
{txt}{hline 9}{hline 1}{c +}{hline 44}
{txt}Valid   1 {c |}{res}         24      39.34     100.00     100.00
{txt}Missing . {c |}{res}         37      60.66                      
{txt}Total     {c |}{res}         61     100.00                      
{txt}{hline 9}{hline 1}{c BT}{hline 44}

{com}.         assert inlist(test_title_bur,.,1)
{txt}
{com}.         
.         drop test_title_bur
{txt}
{com}.         
.         * elecpol_ovrsee
.         
.         lab var elecpol_ovrsee "Any politicians in unit overseeing service delivery"
{txt}
{com}.         replace elecpol_ovrsee = "0" if elecpol_ovrsee == "No"
{txt}(2 real changes made)

{com}.         replace elecpol_ovrsee = "1" if elecpol_ovrsee == "Yes"
{txt}(23 real changes made)

{com}.         destring elecpol_ovrsee, replace
{txt}elecpol_ovrsee: all characters numeric; {res}replaced {txt}as {res}byte
{txt}(36 missing values generated)
{res}{txt}
{com}.         lab val elecpol_ovrsee yesno
{txt}
{com}.         
.         fre elecpol_ovrsee
{res}
{txt}elecpol_ovrsee {hline 2} Any politicians in unit overseeing service delivery
{txt}{hline 13}{hline 1}{c TT}{hline 44}
{txt}        {txt}      {c |}      Freq.    Percent      Valid       Cum.
{txt}{hline 13}{hline 1}{c +}{hline 44}
{txt}Valid   0 No  {c |}{res}          2       3.28       8.00       8.00
{txt}        1 Yes {c |}{res}         23      37.70      92.00     100.00
{txt}        Total {c |}{res}         25      40.98     100.00           
{txt}Missing .     {c |}{res}         36      59.02                      
{txt}Total         {c |}{res}         61     100.00                      
{txt}{hline 13}{hline 1}{c BT}{hline 44}

{com}.         
.         gen test_elecpol_ovrsee = (elecpol_ovrsee != .)
{txt}
{com}.         replace test_elecpol_ovrsee = . if asked_survey == 0
{txt}(37 real changes made, 37 to missing)

{com}.         fre test_elecpol_ovrsee
{res}
{txt}test_elecpol_ovrsee
{txt}{hline 9}{hline 1}{c TT}{hline 44}
{txt}        {txt}  {c |}      Freq.    Percent      Valid       Cum.
{txt}{hline 9}{hline 1}{c +}{hline 44}
{txt}Valid   1 {c |}{res}         24      39.34     100.00     100.00
{txt}Missing . {c |}{res}         37      60.66                      
{txt}Total     {c |}{res}         61     100.00                      
{txt}{hline 9}{hline 1}{c BT}{hline 44}

{com}.         assert inlist(test_elecpol_ovrsee,.,1)
{txt}
{com}.         
.         drop test_elecpol_ovrsee
{txt}
{com}.         
.         * title_elecpol
.         
.         lab var title_elecpol "Title of the highest-level elected politician in unit"
{txt}
{com}.         
.         gen test_title_elecpol = (title_elecpol != "")
{txt}
{com}.         replace test_title_elecpol = . if asked_survey == 0
{txt}(37 real changes made, 37 to missing)

{com}.         replace test_title_elecpol = . if elecpol_ovrsee == 0
{txt}(1 real change made, 1 to missing)

{com}.         fre test_title_elecpol
{res}
{txt}test_title_elecpol
{txt}{hline 9}{hline 1}{c TT}{hline 44}
{txt}        {txt}  {c |}      Freq.    Percent      Valid       Cum.
{txt}{hline 9}{hline 1}{c +}{hline 44}
{txt}Valid   1 {c |}{res}         23      37.70     100.00     100.00
{txt}Missing . {c |}{res}         38      62.30                      
{txt}Total     {c |}{res}         61     100.00                      
{txt}{hline 9}{hline 1}{c BT}{hline 44}

{com}.         assert inlist(test_title_elecpol,.,1)
{txt}
{com}.         
.         drop test_title_elecpol
{txt}
{com}.         
.         * aptpol_d
.         
.         fre aptpol_d
{res}
{txt}aptpol_d
{txt}{hline 38}{hline 1}{c TT}{hline 44}
{txt}        {txt}                               {c |}      Freq.    Percent      Valid       Cum.
{txt}{hline 38}{hline 1}{c +}{hline 44}
{txt}Valid   Do not know / Refuse to answer {c |}{res}          1       1.64       4.00       4.00
{txt}        No                             {c |}{res}         15      24.59      60.00      64.00
{txt}        Yes                            {c |}{res}          9      14.75      36.00     100.00
{txt}        Total                          {c |}{res}         25      40.98     100.00           
{txt}Missing                                {c |}{res}         36      59.02                      
{txt}Total                                  {c |}{res}         61     100.00                      
{txt}{hline 38}{hline 1}{c BT}{hline 44}

{com}.         
.         lab var aptpol_d "Politician appointed by higher politician in unit"
{txt}
{com}.         replace aptpol_d = "0" if aptpol_d == "No"
{txt}(15 real changes made)

{com}.         replace aptpol_d = "1" if aptpol_d == "Yes"
{txt}(9 real changes made)

{com}.         replace aptpol_d = "-98" if aptpol_d == "Do not know / Refuse to answer"
{txt}(1 real change made)

{com}.         destring aptpol_d, replace
{txt}aptpol_d: all characters numeric; {res}replaced {txt}as {res}byte
{txt}(36 missing values generated)
{res}{txt}
{com}.         lab val aptpol_d yesno
{txt}
{com}.         
.         fre aptpol_d
{res}
{txt}aptpol_d {hline 2} Politician appointed by higher politician in unit
{txt}{hline 15}{hline 1}{c TT}{hline 44}
{txt}        {txt}        {c |}      Freq.    Percent      Valid       Cum.
{txt}{hline 15}{hline 1}{c +}{hline 44}
{txt}Valid   -98     {c |}{res}          1       1.64       4.00       4.00
{txt}        0   No  {c |}{res}         15      24.59      60.00      64.00
{txt}        1   Yes {c |}{res}          9      14.75      36.00     100.00
{txt}        Total   {c |}{res}         25      40.98     100.00           
{txt}Missing .       {c |}{res}         36      59.02                      
{txt}Total           {c |}{res}         61     100.00                      
{txt}{hline 15}{hline 1}{c BT}{hline 44}

{com}.         
.         gen test_aptpol_d = (aptpol_d != .)
{txt}
{com}.         replace test_aptpol_d = . if asked_survey == 0
{txt}(37 real changes made, 37 to missing)

{com}.         fre test_aptpol_d
{res}
{txt}test_aptpol_d
{txt}{hline 9}{hline 1}{c TT}{hline 44}
{txt}        {txt}  {c |}      Freq.    Percent      Valid       Cum.
{txt}{hline 9}{hline 1}{c +}{hline 44}
{txt}Valid   1 {c |}{res}         24      39.34     100.00     100.00
{txt}Missing . {c |}{res}         37      60.66                      
{txt}Total     {c |}{res}         61     100.00                      
{txt}{hline 9}{hline 1}{c BT}{hline 44}

{com}.         assert inlist(test_aptpol_d,.,1)
{txt}
{com}.         
.         drop test_aptpol_d
{txt}
{com}.         
.         * pol_exist_d
.         
.         gen pol_exist_d = 0
{txt}
{com}.         replace pol_exist_d = 1 if aptpol_d == 1 | elecpol_ovrsee == 1
{txt}(23 real changes made)

{com}.         replace pol_exist_d = . if asked_survey == 0
{txt}(37 real changes made, 37 to missing)

{com}.         lab val pol_exist_d yesno
{txt}
{com}.         lab var pol_exist_d "1 if we have either an appointed or elected politician"
{txt}
{com}.         
.         fre pol_exist_d
{res}
{txt}pol_exist_d {hline 2} 1 if we have either an appointed or elected politician
{txt}{hline 13}{hline 1}{c TT}{hline 44}
{txt}        {txt}      {c |}      Freq.    Percent      Valid       Cum.
{txt}{hline 13}{hline 1}{c +}{hline 44}
{txt}Valid   0 No  {c |}{res}          1       1.64       4.17       4.17
{txt}        1 Yes {c |}{res}         23      37.70      95.83     100.00
{txt}        Total {c |}{res}         24      39.34     100.00           
{txt}Missing .     {c |}{res}         37      60.66                      
{txt}Total         {c |}{res}         61     100.00                      
{txt}{hline 13}{hline 1}{c BT}{hline 44}

{com}.         order pol_exist_d, after(aptpol_d)
{txt}
{com}.         
.         * title_aptpol
.         
.         lab var title_aptpol "Title of the highest-level appointed politician in unit"
{txt}
{com}.         
.         gen test_title_aptpol = (title_aptpol != "")
{txt}
{com}.         replace test_title_aptpol = . if asked_survey == 0 
{txt}(37 real changes made, 37 to missing)

{com}.         replace test_title_aptpol = . if aptpol_d == 0 | aptpol_d == -98
{txt}(15 real changes made, 15 to missing)

{com}.         fre test_title_aptpol
{res}
{txt}test_title_aptpol
{txt}{hline 9}{hline 1}{c TT}{hline 44}
{txt}        {txt}  {c |}      Freq.    Percent      Valid       Cum.
{txt}{hline 9}{hline 1}{c +}{hline 44}
{txt}Valid   1 {c |}{res}          9      14.75     100.00     100.00
{txt}Missing . {c |}{res}         52      85.25                      
{txt}Total     {c |}{res}         61     100.00                      
{txt}{hline 9}{hline 1}{c BT}{hline 44}

{com}.         assert inlist(test_title_aptpol,.,1)
{txt}
{com}.         
.         drop test_title_aptpol
{txt}
{com}.         
.         * who_aptpol
.         
.         lab var who_aptpol "Who appoints the highest-level appointed politician in unit"
{txt}
{com}.         
.         gen test_who_aptpol = (who_aptpol != "")
{txt}
{com}.         replace test_who_aptpol = . if asked_survey == 0 
{txt}(37 real changes made, 37 to missing)

{com}.         replace test_who_aptpol = . if aptpol_d == 0 | aptpol_d == -98
{txt}(15 real changes made, 15 to missing)

{com}.         fre test_who_aptpol
{res}
{txt}test_who_aptpol
{txt}{hline 9}{hline 1}{c TT}{hline 44}
{txt}        {txt}  {c |}      Freq.    Percent      Valid       Cum.
{txt}{hline 9}{hline 1}{c +}{hline 44}
{txt}Valid   1 {c |}{res}          9      14.75     100.00     100.00
{txt}Missing . {c |}{res}         52      85.25                      
{txt}Total     {c |}{res}         61     100.00                      
{txt}{hline 9}{hline 1}{c BT}{hline 44}

{com}.         assert inlist(test_who_aptpol,.,1)
{txt}
{com}.         
.         drop test_who_aptpol
{txt}
{com}.         
.         * mostinf_servdel
.         
.         lab var mostinf_servdel "More influential in determining quality of service"
{txt}
{com}.         
.         replace mostinf_servdel = "1" if regexm(mostinf_servdel,"Elected much more")
{txt}(5 real changes made)

{com}.         replace mostinf_servdel = "2" if regexm(mostinf_servdel,"Elected slightly more")
{txt}(0 real changes made)

{com}.         replace mostinf_servdel = "3" if regexm(mostinf_servdel,"About the same")
{txt}(1 real change made)

{com}.         replace mostinf_servdel = "4" if regexm(mostinf_servdel,"Appointed slightly more")
{txt}(0 real changes made)

{com}.         replace mostinf_servdel = "5" if regexm(mostinf_servdel,"Appointed much more")
{txt}(3 real changes made)

{com}.         destring mostinf_servdel, replace
{txt}mostinf_servdel: all characters numeric; {res}replaced {txt}as {res}byte
{txt}(52 missing values generated)
{res}{txt}
{com}.         lab def mostinf_servdel 1 "Elected much more influential" 2 "Elected slightly more influential" 3 "About the same" 4 "Appointed slightly more influential" 5 "Appointed much more influential"
{txt}
{com}.         lab val mostinf_servdel mostinf_servdel
{txt}
{com}.         
.         fre mostinf_servdel
{res}
{txt}mostinf_servdel {hline 2} More influential in determining quality of service
{txt}{hline 41}{hline 1}{c TT}{hline 44}
{txt}        {txt}                                  {c |}      Freq.    Percent      Valid       Cum.
{txt}{hline 41}{hline 1}{c +}{hline 44}
{txt}Valid   1 Elected much more influential   {c |}{res}          5       8.20      55.56      55.56
{txt}        3 About the same                  {c |}{res}          1       1.64      11.11      66.67
{txt}        5 Appointed much more influential {c |}{res}          3       4.92      33.33     100.00
{txt}        Total                             {c |}{res}          9      14.75     100.00           
{txt}Missing .                                 {c |}{res}         52      85.25                      
{txt}Total                                     {c |}{res}         61     100.00                      
{txt}{hline 41}{hline 1}{c BT}{hline 44}

{com}.         
.         gen test_mostinf_servdel = (mostinf_servdel != .)
{txt}
{com}.         replace test_mostinf_servdel = . if asked_survey == 0 
{txt}(37 real changes made, 37 to missing)

{com}.         replace test_mostinf_servdel = . if (inlist(aptpol_d,0,-98) | elecpol_ovrsee == 0)
{txt}(15 real changes made, 15 to missing)

{com}.         fre test_mostinf_servdel
{res}
{txt}test_mostinf_servdel
{txt}{hline 9}{hline 1}{c TT}{hline 44}
{txt}        {txt}  {c |}      Freq.    Percent      Valid       Cum.
{txt}{hline 9}{hline 1}{c +}{hline 44}
{txt}Valid   1 {c |}{res}          9      14.75     100.00     100.00
{txt}Missing . {c |}{res}         52      85.25                      
{txt}Total     {c |}{res}         61     100.00                      
{txt}{hline 9}{hline 1}{c BT}{hline 44}

{com}.         assert inlist(test_mostinf_servdel,.,1)
{txt}
{com}.         
.         drop test_mostinf_servdel
{txt}
{com}.         
.         * educ_elecpolbur
.         
.         lab var educ_elecpolbur "More educated bureaucrat or politician (elec. politician)"
{txt}
{com}.         
.         fre educ_elecpolbur
{res}
{txt}educ_elecpolbur {hline 2} More educated bureaucrat or politician (elec. politician)
{txt}{hline 55}{hline 1}{c TT}{hline 44}
{txt}        {txt}                                                {c |}      Freq.    Percent      Valid       Cum.
{txt}{hline 55}{hline 1}{c +}{hline 44}
{txt}Valid   About the same level of education               {c |}{res}          4       6.56      17.39      17.39
{txt}        Bureaucrats much more educated than Politicians {c |}{res}         13      21.31      56.52      73.91
{txt}        Bureaucrats slightly more educated than         {c |}{res}          6       9.84      26.09     100.00
{txt}        Politicians                                     {c |}{res}                                            
{txt}        Total                                           {c |}{res}         23      37.70     100.00           
{txt}Missing                                                 {c |}{res}         38      62.30                      
{txt}Total                                                   {c |}{res}         61     100.00                      
{txt}{hline 55}{hline 1}{c BT}{hline 44}

{com}.         
.         replace educ_elecpolbur = "1" if regexm(educ_elecpolbur,"Bureaucrats much more educated")
{txt}(13 real changes made)

{com}.         replace educ_elecpolbur = "2" if regexm(educ_elecpolbur,"Bureaucrats slightly more educated")
{txt}(6 real changes made)

{com}.         replace educ_elecpolbur = "3" if regexm(educ_elecpolbur,"About the same")
{txt}(4 real changes made)

{com}.         replace educ_elecpolbur = "4" if regexm(educ_elecpolbur,"Politicians slightly more educated")
{txt}(0 real changes made)

{com}.         replace educ_elecpolbur = "5" if regexm(educ_elecpolbur,"Politicians much more educated")
{txt}(0 real changes made)

{com}.         destring educ_elecpolbur, replace
{txt}educ_elecpolbur: all characters numeric; {res}replaced {txt}as {res}byte
{txt}(38 missing values generated)
{res}{txt}
{com}.         lab def educ_elecpolbur 1 "Bureaucrats much more educated" 2 "Bureaucrats slightly more educated" 3 "About the same" 4 "Politicians slightly more educated" 5 "Politicians much more educated"
{txt}
{com}.         lab val educ_elecpolbur educ_elecpolbur
{txt}
{com}.         
.         fre educ_elecpolbur
{res}
{txt}educ_elecpolbur {hline 2} More educated bureaucrat or politician (elec. politician)
{txt}{hline 44}{hline 1}{c TT}{hline 44}
{txt}        {txt}                                     {c |}      Freq.    Percent      Valid       Cum.
{txt}{hline 44}{hline 1}{c +}{hline 44}
{txt}Valid   1 Bureaucrats much more educated     {c |}{res}         13      21.31      56.52      56.52
{txt}        2 Bureaucrats slightly more educated {c |}{res}          6       9.84      26.09      82.61
{txt}        3 About the same                     {c |}{res}          4       6.56      17.39     100.00
{txt}        Total                                {c |}{res}         23      37.70     100.00           
{txt}Missing .                                    {c |}{res}         38      62.30                      
{txt}Total                                        {c |}{res}         61     100.00                      
{txt}{hline 44}{hline 1}{c BT}{hline 44}

{com}.         
.         gen test_educ_elecpolbur = (educ_elecpolbur != .)
{txt}
{com}.         replace test_educ_elecpolbur = . if asked_survey == 0 
{txt}(37 real changes made, 37 to missing)

{com}.         replace test_educ_elecpolbur = . if elecpol_ovrsee == 0
{txt}(1 real change made, 1 to missing)

{com}.         fre test_educ_elecpolbur
{res}
{txt}test_educ_elecpolbur
{txt}{hline 9}{hline 1}{c TT}{hline 44}
{txt}        {txt}  {c |}      Freq.    Percent      Valid       Cum.
{txt}{hline 9}{hline 1}{c +}{hline 44}
{txt}Valid   1 {c |}{res}         23      37.70     100.00     100.00
{txt}Missing . {c |}{res}         38      62.30                      
{txt}Total     {c |}{res}         61     100.00                      
{txt}{hline 9}{hline 1}{c BT}{hline 44}

{com}.         assert inlist(test_educ_elecpolbur,.,1)
{txt}
{com}.         
.         drop test_educ_elecpolbur
{txt}
{com}.         
.         * educ_apolbur
.         
.         lab var educ_apolbur "More educated bureaucrat or politician (app. politician) "
{txt}
{com}.         
.         fre educ_apolbur
{res}
{txt}educ_apolbur {hline 2} More educated bureaucrat or politician (app. politician) 
{txt}{hline 8}{hline 1}{c TT}{hline 44}
{txt}        {txt} {c |}      Freq.    Percent      Valid       Cum.
{txt}{hline 8}{hline 1}{c +}{hline 44}
{txt}Missing  {c |}{res}         61     100.00                      
{txt}{hline 8}{hline 1}{c BT}{hline 44}

{com}.         
.         replace educ_apolbur = "1" if regexm(educ_apolbur,"Bureaucrats much more educated")
{txt}(0 real changes made)

{com}.         replace educ_apolbur = "2" if regexm(educ_apolbur,"Bureaucrats slightly more educated")
{txt}(0 real changes made)

{com}.         replace educ_apolbur = "3" if regexm(educ_apolbur,"About the same")
{txt}(0 real changes made)

{com}.         replace educ_apolbur = "4" if regexm(educ_apolbur,"Politicians slightly more educated")
{txt}(0 real changes made)

{com}.         replace educ_apolbur = "5" if regexm(educ_apolbur,"Politicians much more educated")
{txt}(0 real changes made)

{com}.         destring educ_apolbur, replace
{txt}educ_apolbur: all characters numeric; {res}replaced {txt}as {res}byte
{txt}(61 missing values generated)
{res}{txt}
{com}.         lab def educ_apolbur 1 "Bureaucrats much more educated" 2 "Bureaucrats slightly more educated" 3 "About the same" 4 "Politicians slightly more educated" 5 "Politicians much more educated"
{txt}
{com}.         lab val educ_apolbur educ_apolbur
{txt}
{com}.         
.         fre educ_apolbur
{res}
{txt}educ_apolbur {hline 2} More educated bureaucrat or politician (app. politician) 
{txt}{hline 13}{hline 1}{c TT}{hline 44}
{txt}        {txt}      {c |}      Freq.    Percent      Valid       Cum.
{txt}{hline 13}{hline 1}{c +}{hline 44}
{txt}Missing .     {c |}{res}         61     100.00                      
{txt}{hline 13}{hline 1}{c BT}{hline 44}

{com}.         
.         gen test_educ_apolbur = (educ_apolbur != .)
{txt}
{com}.         replace test_educ_apolbur = . if asked_survey == 0
{txt}(37 real changes made, 37 to missing)

{com}.         replace test_educ_apolbur = . if aptpol_d == 0
{txt}(14 real changes made, 14 to missing)

{com}.         replace test_educ_apolbur = . if elecpol_ovrsee == 1 
{txt}(10 real changes made, 10 to missing)

{com}.         fre test_educ_apolbur
{res}
{txt}test_educ_apolbur
{txt}{hline 9}{hline 1}{c TT}{hline 44}
{txt}        {txt}  {c |}      Freq.    Percent      Valid       Cum.
{txt}{hline 9}{hline 1}{c +}{hline 44}
{txt}Missing . {c |}{res}         61     100.00                      
{txt}{hline 9}{hline 1}{c BT}{hline 44}

{com}.         assert inlist(test_educ_apolbur,.,1)
{txt}
{com}.         
.         drop test_educ_apolbur
{txt}
{com}.         
.         * slry_elecpolbur
.         
.         lab var slry_elecpolbur "Earning more bureaucrat or politician (elec. politician)"
{txt}
{com}.         
.         fre slry_elecpolbur
{res}
{txt}slry_elecpolbur {hline 2} Earning more bureaucrat or politician (elec. politician)
{txt}{hline 55}{hline 1}{c TT}{hline 44}
{txt}        {txt}                                                {c |}      Freq.    Percent      Valid       Cum.
{txt}{hline 55}{hline 1}{c +}{hline 44}
{txt}Valid   Both earn about the same                        {c |}{res}          4       6.56      17.39      17.39
{txt}        Bureaucrats earn much more than Politicians     {c |}{res}          5       8.20      21.74      39.13
{txt}        Bureaucrats earn slightly more than Politicians {c |}{res}          3       4.92      13.04      52.17
{txt}        Politicians earn much more than Bureaucrats     {c |}{res}          6       9.84      26.09      78.26
{txt}        Politicians earn slightly more than Bureaucrats {c |}{res}          5       8.20      21.74     100.00
{txt}        Total                                           {c |}{res}         23      37.70     100.00           
{txt}Missing                                                 {c |}{res}         38      62.30                      
{txt}Total                                                   {c |}{res}         61     100.00                      
{txt}{hline 55}{hline 1}{c BT}{hline 44}

{com}.         
.         replace slry_elecpolbur = "1" if regexm(slry_elecpolbur,"Bureaucrats earn much")
{txt}(5 real changes made)

{com}.         replace slry_elecpolbur = "2" if regexm(slry_elecpolbur,"Bureaucrats earn slightly")
{txt}(3 real changes made)

{com}.         replace slry_elecpolbur = "3" if regexm(slry_elecpolbur,"Both earn")
{txt}(4 real changes made)

{com}.         replace slry_elecpolbur = "4" if regexm(slry_elecpolbur,"Politicians earn slightly")
{txt}(5 real changes made)

{com}.         replace slry_elecpolbur = "5" if regexm(slry_elecpolbur,"Politicians earn much")
{txt}(6 real changes made)

{com}.         destring slry_elecpolbur, replace
{txt}slry_elecpolbur: all characters numeric; {res}replaced {txt}as {res}byte
{txt}(38 missing values generated)
{res}{txt}
{com}.         lab def slry_elecpolbur 1 "Bureaucrats earn much more" 2 "Bureaucrats earn slightly more" 3 "Both earn the same" 4 "Politicians earn slightly" 5 "Politicians earn much more"
{txt}
{com}.         lab val slry_elecpolbur slry_elecpolbur
{txt}
{com}.         
.         fre slry_elecpolbur
{res}
{txt}slry_elecpolbur {hline 2} Earning more bureaucrat or politician (elec. politician)
{txt}{hline 40}{hline 1}{c TT}{hline 44}
{txt}        {txt}                                 {c |}      Freq.    Percent      Valid       Cum.
{txt}{hline 40}{hline 1}{c +}{hline 44}
{txt}Valid   1 Bureaucrats earn much more     {c |}{res}          5       8.20      21.74      21.74
{txt}        2 Bureaucrats earn slightly more {c |}{res}          3       4.92      13.04      34.78
{txt}        3 Both earn the same             {c |}{res}          4       6.56      17.39      52.17
{txt}        4 Politicians earn slightly      {c |}{res}          5       8.20      21.74      73.91
{txt}        5 Politicians earn much more     {c |}{res}          6       9.84      26.09     100.00
{txt}        Total                            {c |}{res}         23      37.70     100.00           
{txt}Missing .                                {c |}{res}         38      62.30                      
{txt}Total                                    {c |}{res}         61     100.00                      
{txt}{hline 40}{hline 1}{c BT}{hline 44}

{com}.         
.         gen test_slry_elecpolbur = (slry_elecpolbur != .)
{txt}
{com}.         replace test_slry_elecpolbur = . if asked_survey == 0 
{txt}(37 real changes made, 37 to missing)

{com}.         replace test_slry_elecpolbur = . if elecpol_ovrsee == 0
{txt}(1 real change made, 1 to missing)

{com}.         fre test_slry_elecpolbur
{res}
{txt}test_slry_elecpolbur
{txt}{hline 9}{hline 1}{c TT}{hline 44}
{txt}        {txt}  {c |}      Freq.    Percent      Valid       Cum.
{txt}{hline 9}{hline 1}{c +}{hline 44}
{txt}Valid   1 {c |}{res}         23      37.70     100.00     100.00
{txt}Missing . {c |}{res}         38      62.30                      
{txt}Total     {c |}{res}         61     100.00                      
{txt}{hline 9}{hline 1}{c BT}{hline 44}

{com}.         assert inlist(test_slry_elecpolbur,.,1)
{txt}
{com}.         
.         drop test_slry_elecpolbur
{txt}
{com}.         
.         * slry_apolbur
.         
.         lab var slry_apolbur "Earning more bureaucrat or politician (app. politician)"
{txt}
{com}.         
.         fre slry_apolbur
{res}
{txt}slry_apolbur {hline 2} Earning more bureaucrat or politician (app. politician)
{txt}{hline 8}{hline 1}{c TT}{hline 44}
{txt}        {txt} {c |}      Freq.    Percent      Valid       Cum.
{txt}{hline 8}{hline 1}{c +}{hline 44}
{txt}Missing  {c |}{res}         61     100.00                      
{txt}{hline 8}{hline 1}{c BT}{hline 44}

{com}.         
.         replace slry_apolbur = "1" if regexm(slry_apolbur,"Bureaucrats earn much")
{txt}(0 real changes made)

{com}.         replace slry_apolbur = "2" if regexm(slry_apolbur,"Bureaucrats earn slightly")
{txt}(0 real changes made)

{com}.         replace slry_apolbur = "3" if regexm(slry_apolbur,"Both earn")
{txt}(0 real changes made)

{com}.         replace slry_apolbur = "4" if regexm(slry_apolbur,"Politicians earn slightly")
{txt}(0 real changes made)

{com}.         replace slry_apolbur = "5" if regexm(slry_apolbur,"Politicians earn much")
{txt}(0 real changes made)

{com}.         destring slry_apolbur, replace
{txt}slry_apolbur: all characters numeric; {res}replaced {txt}as {res}byte
{txt}(61 missing values generated)
{res}{txt}
{com}.         lab def slry_apolbur 1 "Bureaucrats earn much more" 2 "Bureaucrats earn slightly more" 3 "Both earn the same" 4 "Politicians earn slightly" 5 "Politicians earn much more"
{txt}
{com}.         lab val slry_apolbur slry_apolbur
{txt}
{com}.         
.         fre slry_apolbur
{res}
{txt}slry_apolbur {hline 2} Earning more bureaucrat or politician (app. politician)
{txt}{hline 13}{hline 1}{c TT}{hline 44}
{txt}        {txt}      {c |}      Freq.    Percent      Valid       Cum.
{txt}{hline 13}{hline 1}{c +}{hline 44}
{txt}Missing .     {c |}{res}         61     100.00                      
{txt}{hline 13}{hline 1}{c BT}{hline 44}

{com}.         
.         gen test_slry_apolbur = (slry_apolbur != .)
{txt}
{com}.         replace test_slry_apolbur = . if asked_survey == 0
{txt}(37 real changes made, 37 to missing)

{com}.         replace test_slry_apolbur = . if aptpol_d == 0
{txt}(14 real changes made, 14 to missing)

{com}.         replace test_slry_apolbur = . if elecpol_ovrsee == 1 
{txt}(10 real changes made, 10 to missing)

{com}.         fre test_slry_apolbur
{res}
{txt}test_slry_apolbur
{txt}{hline 9}{hline 1}{c TT}{hline 44}
{txt}        {txt}  {c |}      Freq.    Percent      Valid       Cum.
{txt}{hline 9}{hline 1}{c +}{hline 44}
{txt}Missing . {c |}{res}         61     100.00                      
{txt}{hline 9}{hline 1}{c BT}{hline 44}

{com}.         assert inlist(test_slry_apolbur,.,1)
{txt}
{com}.         
.         drop test_slry_apolbur
{txt}
{com}.         
.         * We merge the payment module
.         
.         merge m:1 responseid using "`payment_module'"
{res}
{txt}{col 5}Result{col 38}# of obs.
{col 5}{hline 41}
{col 5}not matched{col 30}{res}               0
{txt}{col 5}matched{col 30}{res}              61{txt}  (_merge==3)
{col 5}{hline 41}

{com}.         drop _merge
{txt}
{com}.         order donate_d org_donation_id paid_status, after(duration_minutes)
{txt}
{com}.         
.         * fdout_epol_bgt
.         
.         lab var fdout_epol_bgt "Easy to find out about envelop (elec. politician)"
{txt}
{com}.         
.         fre fdout_epol_bgt
{res}
{txt}fdout_epol_bgt {hline 2} Easy to find out about envelop (elec. politician)
{txt}{hline 26}{hline 1}{c TT}{hline 44}
{txt}        {txt}                   {c |}      Freq.    Percent      Valid       Cum.
{txt}{hline 26}{hline 1}{c +}{hline 44}
{txt}Valid   Somewhat difficult {c |}{res}          3       4.92      13.04      13.04
{txt}        Somewhat easy      {c |}{res}          6       9.84      26.09      39.13
{txt}        Very easy          {c |}{res}         14      22.95      60.87     100.00
{txt}        Total              {c |}{res}         23      37.70     100.00           
{txt}Missing                    {c |}{res}         38      62.30                      
{txt}Total                      {c |}{res}         61     100.00                      
{txt}{hline 26}{hline 1}{c BT}{hline 44}

{com}.         
.         replace fdout_epol_bgt = "1" if regexm(fdout_epol_bgt,"Very easy")
{txt}(14 real changes made)

{com}.         replace fdout_epol_bgt = "2" if regexm(fdout_epol_bgt,"Somewhat easy")
{txt}(6 real changes made)

{com}.         replace fdout_epol_bgt = "3" if regexm(fdout_epol_bgt,"Somewhat difficult")
{txt}(3 real changes made)

{com}.         replace fdout_epol_bgt = "4" if regexm(fdout_epol_bgt,"Very difficult")
{txt}(0 real changes made)

{com}.         replace fdout_epol_bgt = "5" if regexm(fdout_epol_bgt,"Not applicable")
{txt}(0 real changes made)

{com}.         replace fdout_epol_bgt = "6" if regexm(fdout_epol_bgt,"Do not know")
{txt}(0 real changes made)

{com}.         
.         destring fdout_epol_bgt, replace
{txt}fdout_epol_bgt: all characters numeric; {res}replaced {txt}as {res}byte
{txt}(38 missing values generated)
{res}{txt}
{com}.         lab def fdout_epol_bgt 1 "Very easy" 2 "Somewhat easy" 3 "Somewhat difficult" 4 "Very difficult" 5 "Not applicable, this level of government has no spending power" 6 "Do not know / Refuse to answer"
{txt}
{com}.         lab val fdout_epol_bgt fdout_epol_bgt
{txt}
{com}.         
.         fre fdout_epol_bgt
{res}
{txt}fdout_epol_bgt {hline 2} Easy to find out about envelop (elec. politician)
{txt}{hline 28}{hline 1}{c TT}{hline 44}
{txt}        {txt}                     {c |}      Freq.    Percent      Valid       Cum.
{txt}{hline 28}{hline 1}{c +}{hline 44}
{txt}Valid   1 Very easy          {c |}{res}         14      22.95      60.87      60.87
{txt}        2 Somewhat easy      {c |}{res}          6       9.84      26.09      86.96
{txt}        3 Somewhat difficult {c |}{res}          3       4.92      13.04     100.00
{txt}        Total                {c |}{res}         23      37.70     100.00           
{txt}Missing .                    {c |}{res}         38      62.30                      
{txt}Total                        {c |}{res}         61     100.00                      
{txt}{hline 28}{hline 1}{c BT}{hline 44}

{com}.         
.         gen test_fdout_epol_bgt = (fdout_epol_bgt != .)
{txt}
{com}.         replace test_fdout_epol_bgt = . if asked_survey == 0 
{txt}(37 real changes made, 37 to missing)

{com}.         replace test_fdout_epol_bgt = . if elecpol_ovrsee == 0
{txt}(1 real change made, 1 to missing)

{com}.         fre test_fdout_epol_bgt
{res}
{txt}test_fdout_epol_bgt
{txt}{hline 9}{hline 1}{c TT}{hline 44}
{txt}        {txt}  {c |}      Freq.    Percent      Valid       Cum.
{txt}{hline 9}{hline 1}{c +}{hline 44}
{txt}Valid   1 {c |}{res}         23      37.70     100.00     100.00
{txt}Missing . {c |}{res}         38      62.30                      
{txt}Total     {c |}{res}         61     100.00                      
{txt}{hline 9}{hline 1}{c BT}{hline 44}

{com}.         assert inlist(test_fdout_epol_bgt,.,1)
{txt}
{com}.         
.         drop test_fdout_epol_bgt
{txt}
{com}.         
.         * fdout_apol_bgt
.         
.         lab var fdout_apol_bgt "Easy to find out about envelop (app. politician)"
{txt}
{com}.         
.         fre fdout_apol_bgt
{res}
{txt}fdout_apol_bgt {hline 2} Easy to find out about envelop (app. politician)
{txt}{hline 8}{hline 1}{c TT}{hline 44}
{txt}        {txt} {c |}      Freq.    Percent      Valid       Cum.
{txt}{hline 8}{hline 1}{c +}{hline 44}
{txt}Missing  {c |}{res}         61     100.00                      
{txt}{hline 8}{hline 1}{c BT}{hline 44}

{com}.         
.         replace fdout_apol_bgt = "1" if regexm(fdout_apol_bgt,"Very easy")
{txt}(0 real changes made)

{com}.         replace fdout_apol_bgt = "2" if regexm(fdout_apol_bgt,"Somewhat easy")
{txt}(0 real changes made)

{com}.         replace fdout_apol_bgt = "3" if regexm(fdout_apol_bgt,"Somewhat difficult")
{txt}(0 real changes made)

{com}.         replace fdout_apol_bgt = "4" if regexm(fdout_apol_bgt,"Very difficult")
{txt}(0 real changes made)

{com}.         replace fdout_apol_bgt = "5" if regexm(fdout_apol_bgt,"Not applicable")
{txt}(0 real changes made)

{com}.         replace fdout_apol_bgt = "6" if regexm(fdout_apol_bgt,"Do not know")
{txt}(0 real changes made)

{com}.         
.         destring fdout_apol_bgt, replace
{txt}fdout_apol_bgt: all characters numeric; {res}replaced {txt}as {res}byte
{txt}(61 missing values generated)
{res}{txt}
{com}.         lab def fdout_apol_bgt 1 "Very easy" 2 "Somewhat easy" 3 "Somewhat difficult" 4 "Very difficult" 5 "Not applicable, this level of government has no spending power" 6 "Do not know / Refuse to answer"
{txt}
{com}.         lab val fdout_apol_bgt fdout_apol_bgt
{txt}
{com}.         
.         fre fdout_apol_bgt
{res}
{txt}fdout_apol_bgt {hline 2} Easy to find out about envelop (app. politician)
{txt}{hline 13}{hline 1}{c TT}{hline 44}
{txt}        {txt}      {c |}      Freq.    Percent      Valid       Cum.
{txt}{hline 13}{hline 1}{c +}{hline 44}
{txt}Missing .     {c |}{res}         61     100.00                      
{txt}{hline 13}{hline 1}{c BT}{hline 44}

{com}.         
.         gen test_fdout_apol_bgt = (fdout_apol_bgt != .)
{txt}
{com}.         replace test_fdout_apol_bgt = . if asked_survey == 0
{txt}(37 real changes made, 37 to missing)

{com}.         replace test_fdout_apol_bgt = . if aptpol_d == 0
{txt}(14 real changes made, 14 to missing)

{com}.         replace test_fdout_apol_bgt = . if elecpol_ovrsee == 1 
{txt}(10 real changes made, 10 to missing)

{com}.         fre test_fdout_apol_bgt
{res}
{txt}test_fdout_apol_bgt
{txt}{hline 9}{hline 1}{c TT}{hline 44}
{txt}        {txt}  {c |}      Freq.    Percent      Valid       Cum.
{txt}{hline 9}{hline 1}{c +}{hline 44}
{txt}Missing . {c |}{res}         61     100.00                      
{txt}{hline 9}{hline 1}{c BT}{hline 44}

{com}.         assert inlist(test_fdout_apol_bgt,.,1)
{txt}
{com}.         
.         drop test_fdout_apol_bgt
{txt}
{com}.         
.         * budsect_epol
.         
.         lab var budsect_epol "Find about budget allocation to sectors (elec. politician)"
{txt}
{com}.         
.         fre budsect_epol
{res}
{txt}budsect_epol {hline 2} Find about budget allocation to sectors (elec. politician)
{txt}{hline 26}{hline 1}{c TT}{hline 44}
{txt}        {txt}                   {c |}      Freq.    Percent      Valid       Cum.
{txt}{hline 26}{hline 1}{c +}{hline 44}
{txt}Valid   Somewhat difficult {c |}{res}          2       3.28       8.70       8.70
{txt}        Somewhat easy      {c |}{res}          4       6.56      17.39      26.09
{txt}        Very difficult     {c |}{res}          1       1.64       4.35      30.43
{txt}        Very easy          {c |}{res}          9      14.75      39.13      69.57
{txt}        Somewhat easy      {c |}{res}          1       1.64       4.35      73.91
{txt}        Very easy          {c |}{res}          6       9.84      26.09     100.00
{txt}        Total              {c |}{res}         23      37.70     100.00           
{txt}Missing                    {c |}{res}         38      62.30                      
{txt}Total                      {c |}{res}         61     100.00                      
{txt}{hline 26}{hline 1}{c BT}{hline 44}

{com}.         
.         replace budsect_epol = "1" if regexm(budsect_epol,"Very easy")
{txt}(15 real changes made)

{com}.         replace budsect_epol = "2" if regexm(budsect_epol,"Somewhat easy")
{txt}(5 real changes made)

{com}.         replace budsect_epol = "3" if regexm(budsect_epol,"Somewhat difficult")
{txt}(2 real changes made)

{com}.         replace budsect_epol = "4" if regexm(budsect_epol,"Very difficult")
{txt}(1 real change made)

{com}.         replace budsect_epol = "5" if regexm(budsect_epol,"Not applicable")
{txt}(0 real changes made)

{com}.         replace budsect_epol = "6" if regexm(budsect_epol,"Do not know")
{txt}(0 real changes made)

{com}.         
.         destring budsect_epol, replace
{txt}budsect_epol: all characters numeric; {res}replaced {txt}as {res}byte
{txt}(38 missing values generated)
{res}{txt}
{com}.         lab def budsect_epol 1 "Very easy" 2 "Somewhat easy" 3 "Somewhat difficult" 4 "Very difficult" 5 "Not applicable, this level of government has no spending power" 6 "Do not know / Refuse to answer"
{txt}
{com}.         lab val budsect_epol budsect_epol
{txt}
{com}.         
.         fre budsect_epol
{res}
{txt}budsect_epol {hline 2} Find about budget allocation to sectors (elec. politician)
{txt}{hline 28}{hline 1}{c TT}{hline 44}
{txt}        {txt}                     {c |}      Freq.    Percent      Valid       Cum.
{txt}{hline 28}{hline 1}{c +}{hline 44}
{txt}Valid   1 Very easy          {c |}{res}         15      24.59      65.22      65.22
{txt}        2 Somewhat easy      {c |}{res}          5       8.20      21.74      86.96
{txt}        3 Somewhat difficult {c |}{res}          2       3.28       8.70      95.65
{txt}        4 Very difficult     {c |}{res}          1       1.64       4.35     100.00
{txt}        Total                {c |}{res}         23      37.70     100.00           
{txt}Missing .                    {c |}{res}         38      62.30                      
{txt}Total                        {c |}{res}         61     100.00                      
{txt}{hline 28}{hline 1}{c BT}{hline 44}

{com}.         
.         gen test_budsect_epol = (budsect_epol != .)
{txt}
{com}.         replace test_budsect_epol = . if asked_survey == 0 
{txt}(37 real changes made, 37 to missing)

{com}.         replace test_budsect_epol = . if elecpol_ovrsee == 0
{txt}(1 real change made, 1 to missing)

{com}.         fre test_budsect_epol
{res}
{txt}test_budsect_epol
{txt}{hline 9}{hline 1}{c TT}{hline 44}
{txt}        {txt}  {c |}      Freq.    Percent      Valid       Cum.
{txt}{hline 9}{hline 1}{c +}{hline 44}
{txt}Valid   1 {c |}{res}         23      37.70     100.00     100.00
{txt}Missing . {c |}{res}         38      62.30                      
{txt}Total     {c |}{res}         61     100.00                      
{txt}{hline 9}{hline 1}{c BT}{hline 44}

{com}.         assert inlist(test_budsect_epol,.,1)
{txt}
{com}.         
.         drop test_budsect_epol
{txt}
{com}.         
.         * budsect_apol
.         
.         lab var budsect_apol "Find about budget allocation to sectors (app. politician)"
{txt}
{com}.         
.         fre budsect_apol
{res}
{txt}budsect_apol {hline 2} Find about budget allocation to sectors (app. politician)
{txt}{hline 8}{hline 1}{c TT}{hline 44}
{txt}        {txt} {c |}      Freq.    Percent      Valid       Cum.
{txt}{hline 8}{hline 1}{c +}{hline 44}
{txt}Missing  {c |}{res}         61     100.00                      
{txt}{hline 8}{hline 1}{c BT}{hline 44}

{com}.         
.         replace budsect_apol = "1" if regexm(budsect_apol,"Very easy")
{txt}(0 real changes made)

{com}.         replace budsect_apol = "2" if regexm(budsect_apol,"Somewhat easy")
{txt}(0 real changes made)

{com}.         replace budsect_apol = "3" if regexm(budsect_apol,"Somewhat difficult")
{txt}(0 real changes made)

{com}.         replace budsect_apol = "4" if regexm(budsect_apol,"Very difficult")
{txt}(0 real changes made)

{com}.         replace budsect_apol = "5" if regexm(budsect_apol,"Not applicable")
{txt}(0 real changes made)

{com}.         replace budsect_apol = "6" if regexm(budsect_apol,"Do not know")
{txt}(0 real changes made)

{com}.         
.         destring budsect_apol, replace
{txt}budsect_apol: all characters numeric; {res}replaced {txt}as {res}byte
{txt}(61 missing values generated)
{res}{txt}
{com}.         lab def budsect_apol 1 "Very easy" 2 "Somewhat easy" 3 "Somewhat difficult" 4 "Very difficult" 5 "Not applicable, this level of government has no spending power" 6 "Do not know / Refuse to answer"
{txt}
{com}.         lab val budsect_apol budsect_apol
{txt}
{com}.         
.         fre budsect_apol
{res}
{txt}budsect_apol {hline 2} Find about budget allocation to sectors (app. politician)
{txt}{hline 13}{hline 1}{c TT}{hline 44}
{txt}        {txt}      {c |}      Freq.    Percent      Valid       Cum.
{txt}{hline 13}{hline 1}{c +}{hline 44}
{txt}Missing .     {c |}{res}         61     100.00                      
{txt}{hline 13}{hline 1}{c BT}{hline 44}

{com}.         
.         gen test_budsect_apol = (budsect_apol != .)
{txt}
{com}.         replace test_budsect_apol = . if asked_survey == 0
{txt}(37 real changes made, 37 to missing)

{com}.         replace test_budsect_apol = . if aptpol_d == 0
{txt}(14 real changes made, 14 to missing)

{com}.         replace test_budsect_apol = . if elecpol_ovrsee == 1 
{txt}(10 real changes made, 10 to missing)

{com}.         fre test_budsect_apol
{res}
{txt}test_budsect_apol
{txt}{hline 9}{hline 1}{c TT}{hline 44}
{txt}        {txt}  {c |}      Freq.    Percent      Valid       Cum.
{txt}{hline 9}{hline 1}{c +}{hline 44}
{txt}Missing . {c |}{res}         61     100.00                      
{txt}{hline 9}{hline 1}{c BT}{hline 44}

{com}.         assert inlist(test_budsect_apol,.,1)
{txt}
{com}.         
.         drop test_budsect_apol
{txt}
{com}.         
.         * acinfexp_epol
.         
.         lab var acinfexp_epol "Obtain detailed info about expenditures (elec. politician)"
{txt}
{com}.         
.         fre acinfexp_epol
{res}
{txt}acinfexp_epol {hline 2} Obtain detailed info about expenditures (elec. politician)
{txt}{hline 26}{hline 1}{c TT}{hline 44}
{txt}        {txt}                   {c |}      Freq.    Percent      Valid       Cum.
{txt}{hline 26}{hline 1}{c +}{hline 44}
{txt}Valid   Somewhat difficult {c |}{res}          5       8.20      21.74      21.74
{txt}        Somewhat easy      {c |}{res}          3       4.92      13.04      34.78
{txt}        Very difficult     {c |}{res}          1       1.64       4.35      39.13
{txt}        Very easy          {c |}{res}         14      22.95      60.87     100.00
{txt}        Total              {c |}{res}         23      37.70     100.00           
{txt}Missing                    {c |}{res}         38      62.30                      
{txt}Total                      {c |}{res}         61     100.00                      
{txt}{hline 26}{hline 1}{c BT}{hline 44}

{com}.         
.         replace acinfexp_epol = "1" if regexm(acinfexp_epol,"Very easy")
{txt}(14 real changes made)

{com}.         replace acinfexp_epol = "2" if regexm(acinfexp_epol,"Somewhat easy")
{txt}(3 real changes made)

{com}.         replace acinfexp_epol = "3" if regexm(acinfexp_epol,"Somewhat difficult")
{txt}(5 real changes made)

{com}.         replace acinfexp_epol = "4" if regexm(acinfexp_epol,"Very difficult")
{txt}(1 real change made)

{com}.         replace acinfexp_epol = "5" if regexm(acinfexp_epol,"Not applicable")
{txt}(0 real changes made)

{com}.         replace acinfexp_epol = "6" if regexm(acinfexp_epol,"Do not know")
{txt}(0 real changes made)

{com}.         
.         destring acinfexp_epol, replace
{txt}acinfexp_epol: all characters numeric; {res}replaced {txt}as {res}byte
{txt}(38 missing values generated)
{res}{txt}
{com}.         lab def acinfexp_epol 1 "Very easy" 2 "Somewhat easy" 3 "Somewhat difficult" 4 "Very difficult" 5 "Not applicable, this level of government has no spending power" 6 "Do not know / Refuse to answer"
{txt}
{com}.         lab val acinfexp_epol acinfexp_epol
{txt}
{com}.         
.         fre acinfexp_epol
{res}
{txt}acinfexp_epol {hline 2} Obtain detailed info about expenditures (elec. politician)
{txt}{hline 28}{hline 1}{c TT}{hline 44}
{txt}        {txt}                     {c |}      Freq.    Percent      Valid       Cum.
{txt}{hline 28}{hline 1}{c +}{hline 44}
{txt}Valid   1 Very easy          {c |}{res}         14      22.95      60.87      60.87
{txt}        2 Somewhat easy      {c |}{res}          3       4.92      13.04      73.91
{txt}        3 Somewhat difficult {c |}{res}          5       8.20      21.74      95.65
{txt}        4 Very difficult     {c |}{res}          1       1.64       4.35     100.00
{txt}        Total                {c |}{res}         23      37.70     100.00           
{txt}Missing .                    {c |}{res}         38      62.30                      
{txt}Total                        {c |}{res}         61     100.00                      
{txt}{hline 28}{hline 1}{c BT}{hline 44}

{com}.         
.         gen test_acinfexp_epol = (acinfexp_epol != .)
{txt}
{com}.         replace test_acinfexp_epol = . if asked_survey == 0 
{txt}(37 real changes made, 37 to missing)

{com}.         replace test_acinfexp_epol = . if elecpol_ovrsee == 0
{txt}(1 real change made, 1 to missing)

{com}.         fre test_acinfexp_epol
{res}
{txt}test_acinfexp_epol
{txt}{hline 9}{hline 1}{c TT}{hline 44}
{txt}        {txt}  {c |}      Freq.    Percent      Valid       Cum.
{txt}{hline 9}{hline 1}{c +}{hline 44}
{txt}Valid   1 {c |}{res}         23      37.70     100.00     100.00
{txt}Missing . {c |}{res}         38      62.30                      
{txt}Total     {c |}{res}         61     100.00                      
{txt}{hline 9}{hline 1}{c BT}{hline 44}

{com}.         assert inlist(test_acinfexp_epol,.,1)
{txt}
{com}.         
.         drop test_acinfexp_epol
{txt}
{com}.         
.         * acinfexp_apol
.         
.         lab var acinfexp_apol "Obtain detailed info about expenditures (app. politician)"
{txt}
{com}.         
.         fre acinfexp_apol
{res}
{txt}acinfexp_apol {hline 2} Obtain detailed info about expenditures (app. politician)
{txt}{hline 8}{hline 1}{c TT}{hline 44}
{txt}        {txt} {c |}      Freq.    Percent      Valid       Cum.
{txt}{hline 8}{hline 1}{c +}{hline 44}
{txt}Missing  {c |}{res}         61     100.00                      
{txt}{hline 8}{hline 1}{c BT}{hline 44}

{com}.         
.         replace acinfexp_apol = "1" if regexm(acinfexp_apol,"Very easy")
{txt}(0 real changes made)

{com}.         replace acinfexp_apol = "2" if regexm(acinfexp_apol,"Somewhat easy")
{txt}(0 real changes made)

{com}.         replace acinfexp_apol = "3" if regexm(acinfexp_apol,"Somewhat difficult")
{txt}(0 real changes made)

{com}.         replace acinfexp_apol = "4" if regexm(acinfexp_apol,"Very difficult")
{txt}(0 real changes made)

{com}.         replace acinfexp_apol = "5" if regexm(acinfexp_apol,"Not applicable")
{txt}(0 real changes made)

{com}.         replace acinfexp_apol = "6" if regexm(acinfexp_apol,"Do not know")
{txt}(0 real changes made)

{com}.         
.         destring acinfexp_apol, replace
{txt}acinfexp_apol: all characters numeric; {res}replaced {txt}as {res}byte
{txt}(61 missing values generated)
{res}{txt}
{com}.         lab def acinfexp_apol 1 "Very easy" 2 "Somewhat easy" 3 "Somewhat difficult" 4 "Very difficult" 5 "Not applicable, this level of government has no spending power" 6 "Do not know / Refuse to answer"
{txt}
{com}.         lab val acinfexp_apol acinfexp_apol
{txt}
{com}.         
.         fre acinfexp_apol
{res}
{txt}acinfexp_apol {hline 2} Obtain detailed info about expenditures (app. politician)
{txt}{hline 13}{hline 1}{c TT}{hline 44}
{txt}        {txt}      {c |}      Freq.    Percent      Valid       Cum.
{txt}{hline 13}{hline 1}{c +}{hline 44}
{txt}Missing .     {c |}{res}         61     100.00                      
{txt}{hline 13}{hline 1}{c BT}{hline 44}

{com}.         
.         gen test_acinfexp_apol = (acinfexp_apol != .)
{txt}
{com}.         replace test_acinfexp_apol = . if asked_survey == 0
{txt}(37 real changes made, 37 to missing)

{com}.         replace test_acinfexp_apol = . if aptpol_d == 0
{txt}(14 real changes made, 14 to missing)

{com}.         replace test_acinfexp_apol = . if elecpol_ovrsee == 1 
{txt}(10 real changes made, 10 to missing)

{com}.         fre test_acinfexp_apol
{res}
{txt}test_acinfexp_apol
{txt}{hline 9}{hline 1}{c TT}{hline 44}
{txt}        {txt}  {c |}      Freq.    Percent      Valid       Cum.
{txt}{hline 9}{hline 1}{c +}{hline 44}
{txt}Missing . {c |}{res}         61     100.00                      
{txt}{hline 9}{hline 1}{c BT}{hline 44}

{com}.         assert inlist(test_acinfexp_apol,.,1)
{txt}
{com}.         
.         drop test_acinfexp_apol
{txt}
{com}.         
.         * understand_epol
.         
.         lab var understand_epol "Has capacity to read/understand budget (elec. politician)"
{txt}
{com}.         
.         fre understand_epol
{res}
{txt}understand_epol {hline 2} Has capacity to read/understand budget (elec. politician)
{txt}{hline 28}{hline 1}{c TT}{hline 44}
{txt}        {txt}                     {c |}      Freq.    Percent      Valid       Cum.
{txt}{hline 28}{hline 1}{c +}{hline 44}
{txt}Valid   Definitely capable   {c |}{res}          1       1.64       5.26       5.26
{txt}        Only with difficulty {c |}{res}          2       3.28      10.53      15.79
{txt}        Somewhat capable     {c |}{res}          9      14.75      47.37      63.16
{txt}        Definitely capable   {c |}{res}          2       3.28      10.53      73.68
{txt}        Only with difficulty {c |}{res}          1       1.64       5.26      78.95
{txt}        Somewhat capable     {c |}{res}          4       6.56      21.05     100.00
{txt}        Total                {c |}{res}         19      31.15     100.00           
{txt}Missing                      {c |}{res}         42      68.85                      
{txt}Total                        {c |}{res}         61     100.00                      
{txt}{hline 28}{hline 1}{c BT}{hline 44}

{com}.         
.         replace understand_epol = "1" if regexm(understand_epol,"Definitely capable")
{txt}(3 real changes made)

{com}.         replace understand_epol = "2" if regexm(understand_epol,"Somewhat capable")
{txt}(13 real changes made)

{com}.         replace understand_epol = "3" if regexm(understand_epol,"Only with difficulty")
{txt}(3 real changes made)

{com}.         replace understand_epol = "4" if regexm(understand_epol,"Not capable")
{txt}(0 real changes made)

{com}.         replace understand_epol = "5" if regexm(understand_epol,"Do not know")
{txt}(0 real changes made)

{com}.         
.         fre understand_epol
{res}
{txt}understand_epol {hline 2} Has capacity to read/understand budget (elec. politician)
{txt}{hline 13}{hline 1}{c TT}{hline 44}
{txt}        {txt}      {c |}      Freq.    Percent      Valid       Cum.
{txt}{hline 13}{hline 1}{c +}{hline 44}
{txt}Valid   1     {c |}{res}          3       4.92      15.79      15.79
{txt}        2     {c |}{res}         13      21.31      68.42      84.21
{txt}        3     {c |}{res}          3       4.92      15.79     100.00
{txt}        Total {c |}{res}         19      31.15     100.00           
{txt}Missing       {c |}{res}         42      68.85                      
{txt}Total         {c |}{res}         61     100.00                      
{txt}{hline 13}{hline 1}{c BT}{hline 44}

{com}.         
.         destring understand_epol, replace
{txt}understand_epol: all characters numeric; {res}replaced {txt}as {res}byte
{txt}(42 missing values generated)
{res}{txt}
{com}.         lab def understand_epol 1 "Definitely capable" 2 "Somewhat capable" 3 "Only with difficulty" 4 "Not capable" 5 "Do not know / Refuse to answer"
{txt}
{com}.         lab val understand_epol understand_epol
{txt}
{com}.         
.         fre understand_epol
{res}
{txt}understand_epol {hline 2} Has capacity to read/understand budget (elec. politician)
{txt}{hline 30}{hline 1}{c TT}{hline 44}
{txt}        {txt}                       {c |}      Freq.    Percent      Valid       Cum.
{txt}{hline 30}{hline 1}{c +}{hline 44}
{txt}Valid   1 Definitely capable   {c |}{res}          3       4.92      15.79      15.79
{txt}        2 Somewhat capable     {c |}{res}         13      21.31      68.42      84.21
{txt}        3 Only with difficulty {c |}{res}          3       4.92      15.79     100.00
{txt}        Total                  {c |}{res}         19      31.15     100.00           
{txt}Missing .                      {c |}{res}         42      68.85                      
{txt}Total                          {c |}{res}         61     100.00                      
{txt}{hline 30}{hline 1}{c BT}{hline 44}

{com}.         
.         gen test_understand_epol = (understand_epol != .)
{txt}
{com}.         replace test_understand_epol = . if asked_survey == 0 
{txt}(37 real changes made, 37 to missing)

{com}.         replace test_understand_epol = . if elecpol_ovrsee == 0
{txt}(1 real change made, 1 to missing)

{com}.         fre test_understand_epol
{res}
{txt}test_understand_epol
{txt}{hline 13}{hline 1}{c TT}{hline 44}
{txt}        {txt}      {c |}      Freq.    Percent      Valid       Cum.
{txt}{hline 13}{hline 1}{c +}{hline 44}
{txt}Valid   0     {c |}{res}          4       6.56      17.39      17.39
{txt}        1     {c |}{res}         19      31.15      82.61     100.00
{txt}        Total {c |}{res}         23      37.70     100.00           
{txt}Missing .     {c |}{res}         38      62.30                      
{txt}Total         {c |}{res}         61     100.00                      
{txt}{hline 13}{hline 1}{c BT}{hline 44}

{com}.         assert inlist(test_understand_epol,.,1)
{txt}4 contradictions in 61 observations
{err}assertion is false
{txt}{search r(9), local:r(9);}

end of do-file

{search r(9), local:r(9);}

{com}. edit if test_understand_epol == 0

. do "/var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//SD44938.000000"
{txt}
{com}. 
.         * Purpose: Importing data to run HFC
.         
.         * Setting up globals
.         
.         if "`c(username)'" == "fredericcochinard" {c -(}
.                 
.                 global import_folder "/Users/fredericcochinard/Dropbox/Expert survey/Data/0.survey_dataset/0.import"
.                 global output "/Users/fredericcochinard/Dropbox/Expert survey/Data/0.survey_dataset/1.output"
.                 
.                 {c )-}
{txt}
{com}.                 
.         if "`c(username)'" == "" {c -(}
.         
.                 
.                 {c )-}
{txt}
{com}.         
.         * Looking for renaming folder with problem
.         
.         local myfiles: dir "$import_folder" files "*.xlsx"
{txt}
{com}. 
.         foreach file of local myfiles {c -(}
{txt}  2{com}.                 
.                 local subfile = substr("`file'", 1, .)
{txt}  3{com}.                 local subfile : subinstr local subfile " " "_", all
{txt}  4{com}.                 ! mv "${c -(}import_folder{c )-}/`file'" "${c -(}import_folder{c )-}/`subfile'"
{txt}  5{com}.                 
.                 {c )-}
{txt}

{com}.         
.         * Looking for dataset
.         
.         filelist , dir("$import_folder") pat("*.xlsx")
{res}{txt}Number of files found = {res}1
{txt}
{com}.         
.         gen url = filename
{txt}
{com}.         
.         levelsof url
{txt}`"Expert_survey_February_18,_2025_16.23.xlsx"'

{com}. 
.         local lvlfiles `r(levels)'
{txt}
{com}.         
.         local z = 0
{txt}
{com}.         
.         foreach lvl of local lvlfiles {c -(}
{txt}  2{com}.         
.                 local z = `z' + 1
{txt}  3{com}.                 
.                 local temp : subinstr local lvl `"""' "", all
{txt}  4{com}.                 local url : subinstr local temp "'" "", all
{txt}  5{com}.         
.                 import excel "${c -(}import_folder{c )-}/`url'", first case(lower) clear
{txt}  6{com}.                 
.                 gen num = _n
{txt}  7{com}.                 drop if num == 1
{txt}  8{com}.                 
.                 * Preparing the append
.                 
.                 tempfile data`z'
{txt}  9{com}.                 sa "`data`z''"
{txt} 10{com}.                 
.                 {c )-}
{res}{txt}(1 observation deleted)
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.000001 saved

{com}.                 
.         * We append the dataset to start cleaning
.         
.         use "`data1'", clear
{txt}
{com}.         
.         forvalues x = 2/`z' {c -(}
{txt}  2{com}.         
.                 append using "`data`x''"
{txt}  3{com}.                 
.                 {c )-}
{txt}
{com}.                 
.         duplicates drop

{p 0 4}{txt}Duplicates in terms of {txt} all variables{p_end}

(0 observations are duplicates)

{com}.         
.         * We keep relevant variable
.         drop if recipientemail == "frederic.cochinard@gmail.com"
{txt}(8 observations deleted)

{com}.         drop if recipientemail == "vedpant+spanish@college.harvard.edu"
{txt}(1 observation deleted)

{com}.         drop if recipientemail == "frederic.cochinard+3@gmail.com"
{txt}(1 observation deleted)

{com}.         drop if recipientemail == "frederic.cochinard+1@gmail.com"
{txt}(1 observation deleted)

{com}.         
.         * We remove observation that are not finished
.         drop if finished == "False"
{txt}(9 observations deleted)

{com}.         
.         * We create a save
.         
.         tempfile save_data
{txt}
{com}.         sa "`save_data'"
{txt}file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.000002 saved

{com}.         
.         ******************
.         * Payment module *
.         ******************
.         
.         preserve
{txt}
{com}.         
.         keep responseid method_pay_bank_in_q-q977
{txt}
{com}.         compress
  {txt}variable {bf}method_pay_bank_in_q{sf} was {bf}{res}str237{sf}{txt} now {bf}{res}str24{sf}
  {txt}variable {bf}expert_donation_org{sf} was {bf}{res}str129{sf}{txt} now {bf}{res}str23{sf}
  {txt}variable {bf}q967{sf} was {bf}{res}str236{sf}{txt} now {bf}{res}str65{sf}
  {txt}variable {bf}q978{sf} was {bf}{res}str326{sf}{txt} now {bf}{res}str16{sf}
  {txt}variable {bf}q979{sf} was {bf}{res}str104{sf}{txt} now {bf}{res}str39{sf}
  {txt}variable {bf}q980{sf} was {bf}{res}str95{sf}{txt} now {bf}{res}str11{sf}
  {txt}variable {bf}q987{sf} was {bf}{res}str170{sf}{txt} now {bf}{res}str24{sf}
  {txt}variable {bf}q984{sf} was {bf}{res}str326{sf}{txt} now {bf}{res}str1{sf}
  {txt}variable {bf}q985{sf} was {bf}{res}str104{sf}{txt} now {bf}{res}str1{sf}
  {txt}variable {bf}q986{sf} was {bf}{res}str95{sf}{txt} now {bf}{res}str1{sf}
  {txt}variable {bf}q988{sf} was {bf}{res}str170{sf}{txt} now {bf}{res}str1{sf}
  {txt}variable {bf}q989{sf} was {bf}{res}str559{sf}{txt} now {bf}{res}str1{sf}
  {txt}variable {bf}q990{sf} was {bf}{res}str102{sf}{txt} now {bf}{res}str1{sf}
  {txt}variable {bf}q991{sf} was {bf}{res}str93{sf}{txt} now {bf}{res}str1{sf}
  {txt}variable {bf}q992{sf} was {bf}{res}str170{sf}{txt} now {bf}{res}str1{sf}
  {txt}variable {bf}q998{sf} was {bf}{res}str537{sf}{txt} now {bf}{res}str1{sf}
  {txt}variable {bf}q997{sf} was {bf}{res}str105{sf}{txt} now {bf}{res}str1{sf}
  {txt}variable {bf}q999{sf} was {bf}{res}str104{sf}{txt} now {bf}{res}str1{sf}
  {txt}variable {bf}q1000{sf} was {bf}{res}str95{sf}{txt} now {bf}{res}str1{sf}
  {txt}variable {bf}q1001{sf} was {bf}{res}str170{sf}{txt} now {bf}{res}str1{sf}
  {txt}variable {bf}q977{sf} was {bf}{res}str502{sf}{txt} now {bf}{res}str23{sf}
{txt}  (46,101 bytes saved)

{com}.         
.         * Donate_d
.         
.         gen donate_d = 0
{txt}
{com}.         replace donate_d = 1 if method_pay_bank_in_q == "I prefer to donate"
{txt}(3 real changes made)

{com}.         
.         * Special case
.         replace donate_d = 1 if responseid == "R_4ouc7tR6BFj3gpb" // respondent is refusing to take money in comments
{txt}(1 real change made)

{com}.         replace donate_d = 1 if responseid == "R_4Iow7YzsoT2KTOx" // respondent is writing cancel in comments
{txt}(1 real change made)

{com}.         
.         lab var donate_d "Respondent decided to donate"
{txt}
{com}.         lab def donate_d 0 "No" 1 "Yes"
{txt}
{com}.         lab val donate_d donate_d
{txt}
{com}.         order donate_d, after(responseid)
{txt}
{com}.         
.         * Org
.         
.         gen org_donation_id = "" 
{txt}(11 missing values generated)

{com}.         replace org_donation_id = expert_donation_org if donate_d == 1
{txt}variable {bf}org_donation_id{sf} was {bf}{res}str1{sf}{txt} now {bf}{res}str23{sf}
{txt}(3 real changes made)

{com}.         replace org_donation_id = "No choice" if donate_d == 1 & org_donation_id == ""
{txt}(2 real changes made)

{com}.         lab var org_donation_id "Name of the organization the respondent chose to donate"
{txt}
{com}.         order org_donation_id, after(donate_d)
{txt}
{com}.         
.         * Paid status
.         
.         gen paid_status = 0
{txt}
{com}.         replace paid_status = 2 if donate_d == 1
{txt}(5 real changes made)

{com}.         
.         * Case of payment
.         
.         lab var paid_status "Status of payment of the respondent"
{txt}
{com}.         lab def paid_status 0 "Not yet" 1 "Yes" 2 "Donation"
{txt}
{com}.         lab val paid_status paid_status
{txt}
{com}.         order paid_status, after(org_donation_id)
{txt}
{com}.         
.         keep responseid donate_d org_donation_id paid_status
{txt}
{com}.         
.         tempfile payment_module
{txt}
{com}.         sa "`payment_module'"
{txt}file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.000004 saved

{com}.         
.         restore
{txt}
{com}.         
.         * Main form of survey 
.         keep country full_name recipientemail responseid progress durationinseconds finished userlanguage num_unit confirmation_* ///
>         title_bur* elecpol_ovrsee* title_elecpol* aptpol_d* title_aptpol* who_aptpol* mostinf_servdel* educ_elecpolbur* ///
>         educ_apolbur* slry_elecpolbur* slry_apolbur* fdout_epol_bgt* fdout_apol_bgt* budsect_epol* budsect_apol* acinfexp_epol* /// 
>         acinfexp_apol* understand_epol* understand_apol* acttake_epol* acttake_epol* acttake_apol* acttake_apol* likely* why_likchan* /// 
>         who_apt_bur* who_apt_bur* who_fir_bur* who_fir_bur* ocap_epol* ocap_apol* prio_epol* prio_apol* overall_conf* avg_educ_epol* ///
>         avg_educ_apol* avg_educ_buro* avg_slry_epol* avg_slry_apol* avg_slry_buro* //
{txt}
{com}.         
.         destring durationinseconds progress, replace
{txt}durationinseconds: all characters numeric; {res}replaced {txt}as {res}int
{txt}progress: all characters numeric; {res}replaced {txt}as {res}byte
{txt}
{com}.         replace durationinseconds = round(durationinseconds/60)
{txt}(11 real changes made)

{com}.         ren durationinseconds duration_minutes
{res}{txt}
{com}. 
.         *--
.         
.         local id country full_name recipientemail responseid userlanguage num_unit finished progress duration_minutes
{txt}
{com}.         
.         order `id', first
{txt}
{com}.         duplicates drop `id', force

{p 0 4}{txt}Duplicates in terms of {res} country full_name recipientemail responseid userlanguage num_unit finished progress duration_minutes{p_end}

{txt}(0 observations are duplicates)

{com}.         
.         * Renaming others
.         
.         forvalues x = 1/3 {c -(}
{txt}  2{com}.                 
.                 forvalues y = 1/6 {c -(} 
{txt}  3{com}.                 
.                         cap ren who_apt_bur_`x'_`y'_8_text who_apt_buroth_`x'_`y'
{txt}  4{com}.                         cap ren who_fir_bur_`x'_`y'_8_text who_fir_buroth_`x'_`y'
{txt}  5{com}.                         cap ren acttake_epol_`x'_`y'_9_text acttake_epoloth_`x'_`y'
{txt}  6{com}.                         cap ren acttake_apol_`x'_`y'_9_text acttake_apoloth_`x'_`y'
{txt}  7{com}.                         
.                         {c )-}
{txt}  8{com}.                         
.                 {c )-}
{txt}
{com}.         
.         #delimit ;
{txt}delimiter now ;
{com}.         local var confirmation
>         title_bur 
>         elecpol_ovrsee
>         title_elecpol
>         aptpol_d
>         title_aptpol
>         who_aptpol
>         mostinf_servdel
>         educ_elecpolbur
>         educ_apolbur
>         slry_elecpolbur
>         slry_apolbur
>         fdout_epol_bgt
>         fdout_apol_bgt
>         budsect_epol
>         budsect_apol
>         acinfexp_epol
>         acinfexp_apol
>         understand_epol
>         understand_apol
>         acttake_epol
>         acttake_epoloth
>         acttake_apol
>         acttake_apoloth
>         likely
>         why_likchan
>         who_apt_bur
>         who_apt_buroth
>         who_fir_bur
>         who_fir_buroth
>         ocap_epol
>         ocap_apol
>         prio_epol
>         prio_apol
>         overall_conf
>         avg_educ_epol
>         avg_educ_apol
>         avg_educ_buro
>         avg_slry_epol
>         avg_slry_apol
>         avg_slry_buro
>         
>         ;
{txt}
{com}.                 #delimit cr
{txt}delimiter now cr
{com}. 
.         reshape long `var', i(`id') j(pos) s
{txt}(note: j = _1_1 _1_4 _1_5 _1_6 _2_1 _2_2 _2_4 _2_5 _2_6 _3_1 _3_2 _3_3 _3_4 _3_5 _3_6)
(note: confirmation_1_4 not found)
(note: confirmation_1_5 not found)
(note: confirmation_1_6 not found)
(note: confirmation_2_4 not found)
(note: confirmation_2_5 not found)
(note: confirmation_2_6 not found)
(note: confirmation_3_4 not found)
(note: confirmation_3_5 not found)
(note: confirmation_3_6 not found)

Data{col 36}wide{col 43}->{col 48}long
{hline 77}
Number of obs.                 {res}      11   {txt}->{res}     165
{txt}Number of variables            {res}     615   {txt}->{res}      51
{txt}j variable (15 values)                    ->   {res}pos
{txt}xij variables:
{res}confirmation_1_1 confirmation_1_4 ... confirmation_3_6{txt}->{res}confirmation
title_bur_1_1 title_bur_1_4 ... title_bur_3_6{txt}->{res}title_bur
elecpol_ovrsee_1_1 elecpol_ovrsee_1_4 ... elecpol_ovrsee_3_6{txt}->{res}elecpol_ovrsee
title_elecpol_1_1 title_elecpol_1_4 ... title_elecpol_3_6{txt}->{res}title_elecpol
aptpol_d_1_1 aptpol_d_1_4 ... aptpol_d_3_6{txt}->   {res}aptpol_d
title_aptpol_1_1 title_aptpol_1_4 ... title_aptpol_3_6{txt}->{res}title_aptpol
who_aptpol_1_1 who_aptpol_1_4 ... who_aptpol_3_6{txt}->{res}who_aptpol
mostinf_servdel_1_1 mostinf_servdel_1_4 ... mostinf_servdel_3_6{txt}->{res}mostinf_servdel
educ_elecpolbur_1_1 educ_elecpolbur_1_4 ... educ_elecpolbur_3_6{txt}->{res}educ_elecpolbur
educ_apolbur_1_1 educ_apolbur_1_4 ... educ_apolbur_3_6{txt}->{res}educ_apolbur
slry_elecpolbur_1_1 slry_elecpolbur_1_4 ... slry_elecpolbur_3_6{txt}->{res}slry_elecpolbur
slry_apolbur_1_1 slry_apolbur_1_4 ... slry_apolbur_3_6{txt}->{res}slry_apolbur
fdout_epol_bgt_1_1 fdout_epol_bgt_1_4 ... fdout_epol_bgt_3_6{txt}->{res}fdout_epol_bgt
fdout_apol_bgt_1_1 fdout_apol_bgt_1_4 ... fdout_apol_bgt_3_6{txt}->{res}fdout_apol_bgt
budsect_epol_1_1 budsect_epol_1_4 ... budsect_epol_3_6{txt}->{res}budsect_epol
budsect_apol_1_1 budsect_apol_1_4 ... budsect_apol_3_6{txt}->{res}budsect_apol
acinfexp_epol_1_1 acinfexp_epol_1_4 ... acinfexp_epol_3_6{txt}->{res}acinfexp_epol
acinfexp_apol_1_1 acinfexp_apol_1_4 ... acinfexp_apol_3_6{txt}->{res}acinfexp_apol
understand_epol_1_1 understand_epol_1_4 ... understand_epol_3_6{txt}->{res}understand_epol
understand_apol_1_1 understand_apol_1_4 ... understand_apol_3_6{txt}->{res}understand_apol
acttake_epol_1_1 acttake_epol_1_4 ... acttake_epol_3_6{txt}->{res}acttake_epol
acttake_epoloth_1_1 acttake_epoloth_1_4 ... acttake_epoloth_3_6{txt}->{res}acttake_epoloth
acttake_apol_1_1 acttake_apol_1_4 ... acttake_apol_3_6{txt}->{res}acttake_apol
acttake_apoloth_1_1 acttake_apoloth_1_4 ... acttake_apoloth_3_6{txt}->{res}acttake_apoloth
   likely_1_1 likely_1_4 ... likely_3_6   {txt}->   {res}likely
why_likchan_1_1 why_likchan_1_4 ... why_likchan_3_6{txt}->{res}why_likchan
who_apt_bur_1_1 who_apt_bur_1_4 ... who_apt_bur_3_6{txt}->{res}who_apt_bur
who_apt_buroth_1_1 who_apt_buroth_1_4 ... who_apt_buroth_3_6{txt}->{res}who_apt_buroth
who_fir_bur_1_1 who_fir_bur_1_4 ... who_fir_bur_3_6{txt}->{res}who_fir_bur
who_fir_buroth_1_1 who_fir_buroth_1_4 ... who_fir_buroth_3_6{txt}->{res}who_fir_buroth
ocap_epol_1_1 ocap_epol_1_4 ... ocap_epol_3_6{txt}->{res}ocap_epol
ocap_apol_1_1 ocap_apol_1_4 ... ocap_apol_3_6{txt}->{res}ocap_apol
prio_epol_1_1 prio_epol_1_4 ... prio_epol_3_6{txt}->{res}prio_epol
prio_apol_1_1 prio_apol_1_4 ... prio_apol_3_6{txt}->{res}prio_apol
overall_conf_1_1 overall_conf_1_4 ... overall_conf_3_6{txt}->{res}overall_conf
avg_educ_epol_1_1 avg_educ_epol_1_4 ... avg_educ_epol_3_6{txt}->{res}avg_educ_epol
avg_educ_apol_1_1 avg_educ_apol_1_4 ... avg_educ_apol_3_6{txt}->{res}avg_educ_apol
avg_educ_buro_1_1 avg_educ_buro_1_4 ... avg_educ_buro_3_6{txt}->{res}avg_educ_buro
avg_slry_epol_1_1 avg_slry_epol_1_4 ... avg_slry_epol_3_6{txt}->{res}avg_slry_epol
avg_slry_apol_1_1 avg_slry_apol_1_4 ... avg_slry_apol_3_6{txt}->{res}avg_slry_apol
avg_slry_buro_1_1 avg_slry_buro_1_4 ... avg_slry_buro_3_6{txt}->{res}avg_slry_buro
{txt}{hline 77}

{com}.         
.         * Filter data
.         
.         split pos, p("_")
{res}variables created as string: 
{txt}{col 1}pos1{col 7}pos2{col 13}pos3

{com}.         
.         drop pos1
{txt}
{com}.         ren pos2 case_n_unit
{res}{txt}
{com}.         ren pos3 unit_num
{res}{txt}
{com}.         destring case_n_unit unit_num, replace
{txt}case_n_unit: all characters numeric; {res}replaced {txt}as {res}byte
{txt}unit_num: all characters numeric; {res}replaced {txt}as {res}byte
{txt}
{com}.         order case_n_unit unit_num, after(duration_minutes)
{txt}
{com}.         drop pos
{txt}
{com}.         
.         destring num_unit, replace
{txt}num_unit: all characters numeric; {res}replaced {txt}as {res}byte
{txt}
{com}.         drop if num_unit != case_n_unit
{txt}(104 observations deleted)

{com}.         drop num_unit
{txt}
{com}.         
.         compress
  {txt}variable {bf}country{sf} was {bf}{res}str15{sf}{txt} now {bf}{res}str11{sf}
  {txt}variable {bf}full_name{sf} was {bf}{res}str28{sf}{txt} now {bf}{res}str23{sf}
  {txt}variable {bf}recipientemail{sf} was {bf}{res}str35{sf}{txt} now {bf}{res}str32{sf}
  {txt}variable {bf}userlanguage{sf} was {bf}{res}str13{sf}{txt} now {bf}{res}str2{sf}
  {txt}variable {bf}finished{sf} was {bf}{res}str8{sf}{txt} now {bf}{res}str4{sf}
  {txt}variable {bf}title_bur{sf} was {bf}{res}str448{sf}{txt} now {bf}{res}str235{sf}
  {txt}variable {bf}elecpol_ovrsee{sf} was {bf}{res}str352{sf}{txt} now {bf}{res}str3{sf}
  {txt}variable {bf}title_elecpol{sf} was {bf}{res}str312{sf}{txt} now {bf}{res}str288{sf}
  {txt}variable {bf}aptpol_d{sf} was {bf}{res}str332{sf}{txt} now {bf}{res}str30{sf}
  {txt}variable {bf}who_aptpol{sf} was {bf}{res}str96{sf}{txt} now {bf}{res}str84{sf}
  {txt}variable {bf}mostinf_servdel{sf} was {bf}{res}str256{sf}{txt} now {bf}{res}str44{sf}
  {txt}variable {bf}educ_elecpolbur{sf} was {bf}{res}str258{sf}{txt} now {bf}{res}str51{sf}
  {txt}variable {bf}educ_apolbur{sf} was {bf}{res}str260{sf}{txt} now {bf}{res}str1{sf}
  {txt}variable {bf}slry_elecpolbur{sf} was {bf}{res}str316{sf}{txt} now {bf}{res}str47{sf}
  {txt}variable {bf}slry_apolbur{sf} was {bf}{res}str318{sf}{txt} now {bf}{res}str1{sf}
  {txt}variable {bf}fdout_epol_bgt{sf} was {bf}{res}str373{sf}{txt} now {bf}{res}str19{sf}
  {txt}variable {bf}fdout_apol_bgt{sf} was {bf}{res}str375{sf}{txt} now {bf}{res}str1{sf}
  {txt}variable {bf}budsect_epol{sf} was {bf}{res}str217{sf}{txt} now {bf}{res}str19{sf}
  {txt}variable {bf}budsect_apol{sf} was {bf}{res}str219{sf}{txt} now {bf}{res}str1{sf}
  {txt}variable {bf}acinfexp_epol{sf} was {bf}{res}str216{sf}{txt} now {bf}{res}str19{sf}
  {txt}variable {bf}acinfexp_apol{sf} was {bf}{res}str218{sf}{txt} now {bf}{res}str1{sf}
  {txt}variable {bf}understand_epol{sf} was {bf}{res}str214{sf}{txt} now {bf}{res}str21{sf}
  {txt}variable {bf}understand_apol{sf} was {bf}{res}str216{sf}{txt} now {bf}{res}str21{sf}
  {txt}variable {bf}acttake_epol{sf} was {bf}{res}str247{sf}{txt} now {bf}{res}str163{sf}
  {txt}variable {bf}acttake_epoloth{sf} was {bf}{res}str261{sf}{txt} now {bf}{res}str63{sf}
  {txt}variable {bf}acttake_apol{sf} was {bf}{res}str250{sf}{txt} now {bf}{res}str1{sf}
  {txt}variable {bf}acttake_apoloth{sf} was {bf}{res}str264{sf}{txt} now {bf}{res}str1{sf}
  {txt}variable {bf}likely{sf} was {bf}{res}str159{sf}{txt} now {bf}{res}str18{sf}
  {txt}variable {bf}who_apt_bur{sf} was {bf}{res}str126{sf}{txt} now {bf}{res}str64{sf}
  {txt}variable {bf}who_fir_bur{sf} was {bf}{res}str120{sf}{txt} now {bf}{res}str64{sf}
  {txt}variable {bf}who_fir_buroth{sf} was {bf}{res}str134{sf}{txt} now {bf}{res}str77{sf}
  {txt}variable {bf}ocap_epol{sf} was {bf}{res}str359{sf}{txt} now {bf}{res}str55{sf}
  {txt}variable {bf}ocap_apol{sf} was {bf}{res}str361{sf}{txt} now {bf}{res}str1{sf}
  {txt}variable {bf}prio_epol{sf} was {bf}{res}str209{sf}{txt} now {bf}{res}str73{sf}
  {txt}variable {bf}prio_apol{sf} was {bf}{res}str211{sf}{txt} now {bf}{res}str1{sf}
  {txt}variable {bf}overall_conf{sf} was {bf}{res}str191{sf}{txt} now {bf}{res}str17{sf}
  {txt}variable {bf}avg_educ_buro{sf} was {bf}{res}str117{sf}{txt} now {bf}{res}str101{sf}
  {txt}variable {bf}avg_slry_apol{sf} was {bf}{res}str134{sf}{txt} now {bf}{res}str128{sf}
  {txt}variable {bf}avg_slry_buro{sf} was {bf}{res}str134{sf}{txt} now {bf}{res}str87{sf}
  {txt}variable {bf}confirmation{sf} was {bf}{res}str1148{sf}{txt} now {bf}{res}str63{sf}
{txt}  (462,685 bytes saved)

{com}.         
.         * We edit the label 
.         
.         lab var country "Country"
{txt}
{com}.         lab var full_name  "Full name of recipient"
{txt}
{com}.         lab var recipientemail "Recipient email"
{txt}
{com}.         lab var userlanguage "Language used to answer"
{txt}
{com}.         lab var finished "Completion status"
{txt}
{com}.         lab var progress "Progress"
{txt}
{com}.         lab var duration_minutes "Duration in minutes"
{txt}
{com}.         lab var case_n_unit "Original number of entities"
{txt}
{com}.         lab var unit_num "Unit number"
{txt}
{com}.         
.         * Confirmation
.         
.         fre confirmation
{res}
{txt}confirmation
{txt}{hline 54}{hline 1}{c TT}{hline 44}
{txt}        {txt}                                               {c |}      Freq.    Percent      Valid       Cum.
{txt}{hline 54}{hline 1}{c +}{hline 44}
{txt}Valid   No, this is inaccurate. This level needs to be {c |}{res}          2       3.28       7.14       7.14
{txt}        replaced/deleted                               {c |}{res}                                            
{txt}        No, this level needs to be replaced/deleted    {c |}{res}          2       3.28       7.14      14.29
{txt}        Yes, this is accurate                          {c |}{res}         24      39.34      85.71     100.00
{txt}        Total                                          {c |}{res}         28      45.90     100.00           
{txt}Missing                                                {c |}{res}         33      54.10                      
{txt}Total                                                  {c |}{res}         61     100.00                      
{txt}{hline 54}{hline 1}{c BT}{hline 44}

{com}.         replace confirmation = "1" if confirmation == "Yes, this is accurate"
{txt}(24 real changes made)

{com}.         replace confirmation = "0" if regexm(confirmation,"No")
{txt}(4 real changes made)

{com}.         destring confirmation, replace
{txt}confirmation: all characters numeric; {res}replaced {txt}as {res}byte
{txt}(33 missing values generated)
{res}{txt}
{com}.         
.         lab var confirmation "Confirmation of adequacy of unit"
{txt}
{com}.         lab def confirmation 0 "No, this is not accurate. It should be replaced/deleted" 1 "Yes, this is accurate"
{txt}
{com}.         lab val confirmation confirmation
{txt}
{com}.         
.         fre confirmation
{res}
{txt}confirmation {hline 2} Confirmation of adequacy of unit
{txt}{hline 48}{hline 1}{c TT}{hline 44}
{txt}        {txt}                                         {c |}      Freq.    Percent      Valid       Cum.
{txt}{hline 48}{hline 1}{c +}{hline 44}
{txt}Valid   0 No, this is not accurate. It should be {c |}{res}          4       6.56      14.29      14.29
{txt}          replaced/deleted                       {c |}{res}                                            
{txt}        1 Yes, this is accurate                  {c |}{res}         24      39.34      85.71     100.00
{txt}        Total                                    {c |}{res}         28      45.90     100.00           
{txt}Missing .                                        {c |}{res}         33      54.10                      
{txt}Total                                            {c |}{res}         61     100.00                      
{txt}{hline 48}{hline 1}{c BT}{hline 44}

{com}.         
.         order confirmation, after(unit_num)
{txt}
{com}.         
.         * Creating variable about asked_survey (should be updated)
.         
.         gen asked_survey = 0
{txt}
{com}.         replace asked_survey = 1 if confirmation == 1
{txt}(24 real changes made)

{com}.         lab var asked_survey "Survey question asked to respondent"
{txt}
{com}.         lab def yesno 0 "No" 1 "Yes"
{txt}
{com}.         lab val asked_survey yesno
{txt}
{com}.         order asked_survey, after(confirmation)
{txt}
{com}.         
.         * title_bur
.         
.         lab var title_bur "Title of the highest-level bureaucrat in unit"
{txt}
{com}.         
.         gen test_title_bur = (title_bur != "")
{txt}
{com}.         replace test_title_bur = . if asked_survey == 0
{txt}(37 real changes made, 37 to missing)

{com}.         fre test_title_bur
{res}
{txt}test_title_bur
{txt}{hline 9}{hline 1}{c TT}{hline 44}
{txt}        {txt}  {c |}      Freq.    Percent      Valid       Cum.
{txt}{hline 9}{hline 1}{c +}{hline 44}
{txt}Valid   1 {c |}{res}         24      39.34     100.00     100.00
{txt}Missing . {c |}{res}         37      60.66                      
{txt}Total     {c |}{res}         61     100.00                      
{txt}{hline 9}{hline 1}{c BT}{hline 44}

{com}.         assert inlist(test_title_bur,.,1)
{txt}
{com}.         
.         drop test_title_bur
{txt}
{com}.         
.         * elecpol_ovrsee
.         
.         lab var elecpol_ovrsee "Any politicians in unit overseeing service delivery"
{txt}
{com}.         replace elecpol_ovrsee = "0" if elecpol_ovrsee == "No"
{txt}(2 real changes made)

{com}.         replace elecpol_ovrsee = "1" if elecpol_ovrsee == "Yes"
{txt}(23 real changes made)

{com}.         destring elecpol_ovrsee, replace
{txt}elecpol_ovrsee: all characters numeric; {res}replaced {txt}as {res}byte
{txt}(36 missing values generated)
{res}{txt}
{com}.         lab val elecpol_ovrsee yesno
{txt}
{com}.         
.         fre elecpol_ovrsee
{res}
{txt}elecpol_ovrsee {hline 2} Any politicians in unit overseeing service delivery
{txt}{hline 13}{hline 1}{c TT}{hline 44}
{txt}        {txt}      {c |}      Freq.    Percent      Valid       Cum.
{txt}{hline 13}{hline 1}{c +}{hline 44}
{txt}Valid   0 No  {c |}{res}          2       3.28       8.00       8.00
{txt}        1 Yes {c |}{res}         23      37.70      92.00     100.00
{txt}        Total {c |}{res}         25      40.98     100.00           
{txt}Missing .     {c |}{res}         36      59.02                      
{txt}Total         {c |}{res}         61     100.00                      
{txt}{hline 13}{hline 1}{c BT}{hline 44}

{com}.         
.         gen test_elecpol_ovrsee = (elecpol_ovrsee != .)
{txt}
{com}.         replace test_elecpol_ovrsee = . if asked_survey == 0
{txt}(37 real changes made, 37 to missing)

{com}.         fre test_elecpol_ovrsee
{res}
{txt}test_elecpol_ovrsee
{txt}{hline 9}{hline 1}{c TT}{hline 44}
{txt}        {txt}  {c |}      Freq.    Percent      Valid       Cum.
{txt}{hline 9}{hline 1}{c +}{hline 44}
{txt}Valid   1 {c |}{res}         24      39.34     100.00     100.00
{txt}Missing . {c |}{res}         37      60.66                      
{txt}Total     {c |}{res}         61     100.00                      
{txt}{hline 9}{hline 1}{c BT}{hline 44}

{com}.         assert inlist(test_elecpol_ovrsee,.,1)
{txt}
{com}.         
.         drop test_elecpol_ovrsee
{txt}
{com}.         
.         * title_elecpol
.         
.         lab var title_elecpol "Title of the highest-level elected politician in unit"
{txt}
{com}.         
.         gen test_title_elecpol = (title_elecpol != "")
{txt}
{com}.         replace test_title_elecpol = . if asked_survey == 0
{txt}(37 real changes made, 37 to missing)

{com}.         replace test_title_elecpol = . if elecpol_ovrsee == 0
{txt}(1 real change made, 1 to missing)

{com}.         fre test_title_elecpol
{res}
{txt}test_title_elecpol
{txt}{hline 9}{hline 1}{c TT}{hline 44}
{txt}        {txt}  {c |}      Freq.    Percent      Valid       Cum.
{txt}{hline 9}{hline 1}{c +}{hline 44}
{txt}Valid   1 {c |}{res}         23      37.70     100.00     100.00
{txt}Missing . {c |}{res}         38      62.30                      
{txt}Total     {c |}{res}         61     100.00                      
{txt}{hline 9}{hline 1}{c BT}{hline 44}

{com}.         assert inlist(test_title_elecpol,.,1)
{txt}
{com}.         
.         drop test_title_elecpol
{txt}
{com}.         
.         * aptpol_d
.         
.         fre aptpol_d
{res}
{txt}aptpol_d
{txt}{hline 38}{hline 1}{c TT}{hline 44}
{txt}        {txt}                               {c |}      Freq.    Percent      Valid       Cum.
{txt}{hline 38}{hline 1}{c +}{hline 44}
{txt}Valid   Do not know / Refuse to answer {c |}{res}          1       1.64       4.00       4.00
{txt}        No                             {c |}{res}         15      24.59      60.00      64.00
{txt}        Yes                            {c |}{res}          9      14.75      36.00     100.00
{txt}        Total                          {c |}{res}         25      40.98     100.00           
{txt}Missing                                {c |}{res}         36      59.02                      
{txt}Total                                  {c |}{res}         61     100.00                      
{txt}{hline 38}{hline 1}{c BT}{hline 44}

{com}.         
.         lab var aptpol_d "Politician appointed by higher politician in unit"
{txt}
{com}.         replace aptpol_d = "0" if aptpol_d == "No"
{txt}(15 real changes made)

{com}.         replace aptpol_d = "1" if aptpol_d == "Yes"
{txt}(9 real changes made)

{com}.         replace aptpol_d = "-98" if aptpol_d == "Do not know / Refuse to answer"
{txt}(1 real change made)

{com}.         destring aptpol_d, replace
{txt}aptpol_d: all characters numeric; {res}replaced {txt}as {res}byte
{txt}(36 missing values generated)
{res}{txt}
{com}.         lab val aptpol_d yesno
{txt}
{com}.         
.         fre aptpol_d
{res}
{txt}aptpol_d {hline 2} Politician appointed by higher politician in unit
{txt}{hline 15}{hline 1}{c TT}{hline 44}
{txt}        {txt}        {c |}      Freq.    Percent      Valid       Cum.
{txt}{hline 15}{hline 1}{c +}{hline 44}
{txt}Valid   -98     {c |}{res}          1       1.64       4.00       4.00
{txt}        0   No  {c |}{res}         15      24.59      60.00      64.00
{txt}        1   Yes {c |}{res}          9      14.75      36.00     100.00
{txt}        Total   {c |}{res}         25      40.98     100.00           
{txt}Missing .       {c |}{res}         36      59.02                      
{txt}Total           {c |}{res}         61     100.00                      
{txt}{hline 15}{hline 1}{c BT}{hline 44}

{com}.         
.         gen test_aptpol_d = (aptpol_d != .)
{txt}
{com}.         replace test_aptpol_d = . if asked_survey == 0
{txt}(37 real changes made, 37 to missing)

{com}.         fre test_aptpol_d
{res}
{txt}test_aptpol_d
{txt}{hline 9}{hline 1}{c TT}{hline 44}
{txt}        {txt}  {c |}      Freq.    Percent      Valid       Cum.
{txt}{hline 9}{hline 1}{c +}{hline 44}
{txt}Valid   1 {c |}{res}         24      39.34     100.00     100.00
{txt}Missing . {c |}{res}         37      60.66                      
{txt}Total     {c |}{res}         61     100.00                      
{txt}{hline 9}{hline 1}{c BT}{hline 44}

{com}.         assert inlist(test_aptpol_d,.,1)
{txt}
{com}.         
.         drop test_aptpol_d
{txt}
{com}.         
.         * pol_exist_d
.         
.         gen pol_exist_d = 0
{txt}
{com}.         replace pol_exist_d = 1 if aptpol_d == 1 | elecpol_ovrsee == 1
{txt}(23 real changes made)

{com}.         replace pol_exist_d = . if asked_survey == 0
{txt}(37 real changes made, 37 to missing)

{com}.         lab val pol_exist_d yesno
{txt}
{com}.         lab var pol_exist_d "1 if we have either an appointed or elected politician"
{txt}
{com}.         
.         fre pol_exist_d
{res}
{txt}pol_exist_d {hline 2} 1 if we have either an appointed or elected politician
{txt}{hline 13}{hline 1}{c TT}{hline 44}
{txt}        {txt}      {c |}      Freq.    Percent      Valid       Cum.
{txt}{hline 13}{hline 1}{c +}{hline 44}
{txt}Valid   0 No  {c |}{res}          1       1.64       4.17       4.17
{txt}        1 Yes {c |}{res}         23      37.70      95.83     100.00
{txt}        Total {c |}{res}         24      39.34     100.00           
{txt}Missing .     {c |}{res}         37      60.66                      
{txt}Total         {c |}{res}         61     100.00                      
{txt}{hline 13}{hline 1}{c BT}{hline 44}

{com}.         order pol_exist_d, after(aptpol_d)
{txt}
{com}.         
.         * title_aptpol
.         
.         lab var title_aptpol "Title of the highest-level appointed politician in unit"
{txt}
{com}.         
.         gen test_title_aptpol = (title_aptpol != "")
{txt}
{com}.         replace test_title_aptpol = . if asked_survey == 0 
{txt}(37 real changes made, 37 to missing)

{com}.         replace test_title_aptpol = . if aptpol_d == 0 | aptpol_d == -98
{txt}(15 real changes made, 15 to missing)

{com}.         fre test_title_aptpol
{res}
{txt}test_title_aptpol
{txt}{hline 9}{hline 1}{c TT}{hline 44}
{txt}        {txt}  {c |}      Freq.    Percent      Valid       Cum.
{txt}{hline 9}{hline 1}{c +}{hline 44}
{txt}Valid   1 {c |}{res}          9      14.75     100.00     100.00
{txt}Missing . {c |}{res}         52      85.25                      
{txt}Total     {c |}{res}         61     100.00                      
{txt}{hline 9}{hline 1}{c BT}{hline 44}

{com}.         assert inlist(test_title_aptpol,.,1)
{txt}
{com}.         
.         drop test_title_aptpol
{txt}
{com}.         
.         * who_aptpol
.         
.         lab var who_aptpol "Who appoints the highest-level appointed politician in unit"
{txt}
{com}.         
.         gen test_who_aptpol = (who_aptpol != "")
{txt}
{com}.         replace test_who_aptpol = . if asked_survey == 0 
{txt}(37 real changes made, 37 to missing)

{com}.         replace test_who_aptpol = . if aptpol_d == 0 | aptpol_d == -98
{txt}(15 real changes made, 15 to missing)

{com}.         fre test_who_aptpol
{res}
{txt}test_who_aptpol
{txt}{hline 9}{hline 1}{c TT}{hline 44}
{txt}        {txt}  {c |}      Freq.    Percent      Valid       Cum.
{txt}{hline 9}{hline 1}{c +}{hline 44}
{txt}Valid   1 {c |}{res}          9      14.75     100.00     100.00
{txt}Missing . {c |}{res}         52      85.25                      
{txt}Total     {c |}{res}         61     100.00                      
{txt}{hline 9}{hline 1}{c BT}{hline 44}

{com}.         assert inlist(test_who_aptpol,.,1)
{txt}
{com}.         
.         drop test_who_aptpol
{txt}
{com}.         
.         * mostinf_servdel
.         
.         lab var mostinf_servdel "More influential in determining quality of service"
{txt}
{com}.         
.         replace mostinf_servdel = "1" if regexm(mostinf_servdel,"Elected much more")
{txt}(5 real changes made)

{com}.         replace mostinf_servdel = "2" if regexm(mostinf_servdel,"Elected slightly more")
{txt}(0 real changes made)

{com}.         replace mostinf_servdel = "3" if regexm(mostinf_servdel,"About the same")
{txt}(1 real change made)

{com}.         replace mostinf_servdel = "4" if regexm(mostinf_servdel,"Appointed slightly more")
{txt}(0 real changes made)

{com}.         replace mostinf_servdel = "5" if regexm(mostinf_servdel,"Appointed much more")
{txt}(3 real changes made)

{com}.         destring mostinf_servdel, replace
{txt}mostinf_servdel: all characters numeric; {res}replaced {txt}as {res}byte
{txt}(52 missing values generated)
{res}{txt}
{com}.         lab def mostinf_servdel 1 "Elected much more influential" 2 "Elected slightly more influential" 3 "About the same" 4 "Appointed slightly more influential" 5 "Appointed much more influential"
{txt}
{com}.         lab val mostinf_servdel mostinf_servdel
{txt}
{com}.         
.         fre mostinf_servdel
{res}
{txt}mostinf_servdel {hline 2} More influential in determining quality of service
{txt}{hline 41}{hline 1}{c TT}{hline 44}
{txt}        {txt}                                  {c |}      Freq.    Percent      Valid       Cum.
{txt}{hline 41}{hline 1}{c +}{hline 44}
{txt}Valid   1 Elected much more influential   {c |}{res}          5       8.20      55.56      55.56
{txt}        3 About the same                  {c |}{res}          1       1.64      11.11      66.67
{txt}        5 Appointed much more influential {c |}{res}          3       4.92      33.33     100.00
{txt}        Total                             {c |}{res}          9      14.75     100.00           
{txt}Missing .                                 {c |}{res}         52      85.25                      
{txt}Total                                     {c |}{res}         61     100.00                      
{txt}{hline 41}{hline 1}{c BT}{hline 44}

{com}.         
.         gen test_mostinf_servdel = (mostinf_servdel != .)
{txt}
{com}.         replace test_mostinf_servdel = . if asked_survey == 0 
{txt}(37 real changes made, 37 to missing)

{com}.         replace test_mostinf_servdel = . if (inlist(aptpol_d,0,-98) | elecpol_ovrsee == 0)
{txt}(15 real changes made, 15 to missing)

{com}.         fre test_mostinf_servdel
{res}
{txt}test_mostinf_servdel
{txt}{hline 9}{hline 1}{c TT}{hline 44}
{txt}        {txt}  {c |}      Freq.    Percent      Valid       Cum.
{txt}{hline 9}{hline 1}{c +}{hline 44}
{txt}Valid   1 {c |}{res}          9      14.75     100.00     100.00
{txt}Missing . {c |}{res}         52      85.25                      
{txt}Total     {c |}{res}         61     100.00                      
{txt}{hline 9}{hline 1}{c BT}{hline 44}

{com}.         assert inlist(test_mostinf_servdel,.,1)
{txt}
{com}.         
.         drop test_mostinf_servdel
{txt}
{com}.         
.         * educ_elecpolbur
.         
.         lab var educ_elecpolbur "More educated bureaucrat or politician (elec. politician)"
{txt}
{com}.         
.         fre educ_elecpolbur
{res}
{txt}educ_elecpolbur {hline 2} More educated bureaucrat or politician (elec. politician)
{txt}{hline 55}{hline 1}{c TT}{hline 44}
{txt}        {txt}                                                {c |}      Freq.    Percent      Valid       Cum.
{txt}{hline 55}{hline 1}{c +}{hline 44}
{txt}Valid   About the same level of education               {c |}{res}          4       6.56      17.39      17.39
{txt}        Bureaucrats much more educated than Politicians {c |}{res}         13      21.31      56.52      73.91
{txt}        Bureaucrats slightly more educated than         {c |}{res}          6       9.84      26.09     100.00
{txt}        Politicians                                     {c |}{res}                                            
{txt}        Total                                           {c |}{res}         23      37.70     100.00           
{txt}Missing                                                 {c |}{res}         38      62.30                      
{txt}Total                                                   {c |}{res}         61     100.00                      
{txt}{hline 55}{hline 1}{c BT}{hline 44}

{com}.         
.         replace educ_elecpolbur = "1" if regexm(educ_elecpolbur,"Bureaucrats much more educated")
{txt}(13 real changes made)

{com}.         replace educ_elecpolbur = "2" if regexm(educ_elecpolbur,"Bureaucrats slightly more educated")
{txt}(6 real changes made)

{com}.         replace educ_elecpolbur = "3" if regexm(educ_elecpolbur,"About the same")
{txt}(4 real changes made)

{com}.         replace educ_elecpolbur = "4" if regexm(educ_elecpolbur,"Politicians slightly more educated")
{txt}(0 real changes made)

{com}.         replace educ_elecpolbur = "5" if regexm(educ_elecpolbur,"Politicians much more educated")
{txt}(0 real changes made)

{com}.         destring educ_elecpolbur, replace
{txt}educ_elecpolbur: all characters numeric; {res}replaced {txt}as {res}byte
{txt}(38 missing values generated)
{res}{txt}
{com}.         lab def educ_elecpolbur 1 "Bureaucrats much more educated" 2 "Bureaucrats slightly more educated" 3 "About the same" 4 "Politicians slightly more educated" 5 "Politicians much more educated"
{txt}
{com}.         lab val educ_elecpolbur educ_elecpolbur
{txt}
{com}.         
.         fre educ_elecpolbur
{res}
{txt}educ_elecpolbur {hline 2} More educated bureaucrat or politician (elec. politician)
{txt}{hline 44}{hline 1}{c TT}{hline 44}
{txt}        {txt}                                     {c |}      Freq.    Percent      Valid       Cum.
{txt}{hline 44}{hline 1}{c +}{hline 44}
{txt}Valid   1 Bureaucrats much more educated     {c |}{res}         13      21.31      56.52      56.52
{txt}        2 Bureaucrats slightly more educated {c |}{res}          6       9.84      26.09      82.61
{txt}        3 About the same                     {c |}{res}          4       6.56      17.39     100.00
{txt}        Total                                {c |}{res}         23      37.70     100.00           
{txt}Missing .                                    {c |}{res}         38      62.30                      
{txt}Total                                        {c |}{res}         61     100.00                      
{txt}{hline 44}{hline 1}{c BT}{hline 44}

{com}.         
.         gen test_educ_elecpolbur = (educ_elecpolbur != .)
{txt}
{com}.         replace test_educ_elecpolbur = . if asked_survey == 0 
{txt}(37 real changes made, 37 to missing)

{com}.         replace test_educ_elecpolbur = . if elecpol_ovrsee == 0
{txt}(1 real change made, 1 to missing)

{com}.         fre test_educ_elecpolbur
{res}
{txt}test_educ_elecpolbur
{txt}{hline 9}{hline 1}{c TT}{hline 44}
{txt}        {txt}  {c |}      Freq.    Percent      Valid       Cum.
{txt}{hline 9}{hline 1}{c +}{hline 44}
{txt}Valid   1 {c |}{res}         23      37.70     100.00     100.00
{txt}Missing . {c |}{res}         38      62.30                      
{txt}Total     {c |}{res}         61     100.00                      
{txt}{hline 9}{hline 1}{c BT}{hline 44}

{com}.         assert inlist(test_educ_elecpolbur,.,1)
{txt}
{com}.         
.         drop test_educ_elecpolbur
{txt}
{com}.         
.         * educ_apolbur
.         
.         lab var educ_apolbur "More educated bureaucrat or politician (app. politician) "
{txt}
{com}.         
.         fre educ_apolbur
{res}
{txt}educ_apolbur {hline 2} More educated bureaucrat or politician (app. politician) 
{txt}{hline 8}{hline 1}{c TT}{hline 44}
{txt}        {txt} {c |}      Freq.    Percent      Valid       Cum.
{txt}{hline 8}{hline 1}{c +}{hline 44}
{txt}Missing  {c |}{res}         61     100.00                      
{txt}{hline 8}{hline 1}{c BT}{hline 44}

{com}.         
.         replace educ_apolbur = "1" if regexm(educ_apolbur,"Bureaucrats much more educated")
{txt}(0 real changes made)

{com}.         replace educ_apolbur = "2" if regexm(educ_apolbur,"Bureaucrats slightly more educated")
{txt}(0 real changes made)

{com}.         replace educ_apolbur = "3" if regexm(educ_apolbur,"About the same")
{txt}(0 real changes made)

{com}.         replace educ_apolbur = "4" if regexm(educ_apolbur,"Politicians slightly more educated")
{txt}(0 real changes made)

{com}.         replace educ_apolbur = "5" if regexm(educ_apolbur,"Politicians much more educated")
{txt}(0 real changes made)

{com}.         destring educ_apolbur, replace
{txt}educ_apolbur: all characters numeric; {res}replaced {txt}as {res}byte
{txt}(61 missing values generated)
{res}{txt}
{com}.         lab def educ_apolbur 1 "Bureaucrats much more educated" 2 "Bureaucrats slightly more educated" 3 "About the same" 4 "Politicians slightly more educated" 5 "Politicians much more educated"
{txt}
{com}.         lab val educ_apolbur educ_apolbur
{txt}
{com}.         
.         fre educ_apolbur
{res}
{txt}educ_apolbur {hline 2} More educated bureaucrat or politician (app. politician) 
{txt}{hline 13}{hline 1}{c TT}{hline 44}
{txt}        {txt}      {c |}      Freq.    Percent      Valid       Cum.
{txt}{hline 13}{hline 1}{c +}{hline 44}
{txt}Missing .     {c |}{res}         61     100.00                      
{txt}{hline 13}{hline 1}{c BT}{hline 44}

{com}.         
.         gen test_educ_apolbur = (educ_apolbur != .)
{txt}
{com}.         replace test_educ_apolbur = . if asked_survey == 0
{txt}(37 real changes made, 37 to missing)

{com}.         replace test_educ_apolbur = . if aptpol_d == 0
{txt}(14 real changes made, 14 to missing)

{com}.         replace test_educ_apolbur = . if elecpol_ovrsee == 1 
{txt}(10 real changes made, 10 to missing)

{com}.         fre test_educ_apolbur
{res}
{txt}test_educ_apolbur
{txt}{hline 9}{hline 1}{c TT}{hline 44}
{txt}        {txt}  {c |}      Freq.    Percent      Valid       Cum.
{txt}{hline 9}{hline 1}{c +}{hline 44}
{txt}Missing . {c |}{res}         61     100.00                      
{txt}{hline 9}{hline 1}{c BT}{hline 44}

{com}.         assert inlist(test_educ_apolbur,.,1)
{txt}
{com}.         
.         drop test_educ_apolbur
{txt}
{com}.         
.         * slry_elecpolbur
.         
.         lab var slry_elecpolbur "Earning more bureaucrat or politician (elec. politician)"
{txt}
{com}.         
.         fre slry_elecpolbur
{res}
{txt}slry_elecpolbur {hline 2} Earning more bureaucrat or politician (elec. politician)
{txt}{hline 55}{hline 1}{c TT}{hline 44}
{txt}        {txt}                                                {c |}      Freq.    Percent      Valid       Cum.
{txt}{hline 55}{hline 1}{c +}{hline 44}
{txt}Valid   Both earn about the same                        {c |}{res}          4       6.56      17.39      17.39
{txt}        Bureaucrats earn much more than Politicians     {c |}{res}          5       8.20      21.74      39.13
{txt}        Bureaucrats earn slightly more than Politicians {c |}{res}          3       4.92      13.04      52.17
{txt}        Politicians earn much more than Bureaucrats     {c |}{res}          6       9.84      26.09      78.26
{txt}        Politicians earn slightly more than Bureaucrats {c |}{res}          5       8.20      21.74     100.00
{txt}        Total                                           {c |}{res}         23      37.70     100.00           
{txt}Missing                                                 {c |}{res}         38      62.30                      
{txt}Total                                                   {c |}{res}         61     100.00                      
{txt}{hline 55}{hline 1}{c BT}{hline 44}

{com}.         
.         replace slry_elecpolbur = "1" if regexm(slry_elecpolbur,"Bureaucrats earn much")
{txt}(5 real changes made)

{com}.         replace slry_elecpolbur = "2" if regexm(slry_elecpolbur,"Bureaucrats earn slightly")
{txt}(3 real changes made)

{com}.         replace slry_elecpolbur = "3" if regexm(slry_elecpolbur,"Both earn")
{txt}(4 real changes made)

{com}.         replace slry_elecpolbur = "4" if regexm(slry_elecpolbur,"Politicians earn slightly")
{txt}(5 real changes made)

{com}.         replace slry_elecpolbur = "5" if regexm(slry_elecpolbur,"Politicians earn much")
{txt}(6 real changes made)

{com}.         destring slry_elecpolbur, replace
{txt}slry_elecpolbur: all characters numeric; {res}replaced {txt}as {res}byte
{txt}(38 missing values generated)
{res}{txt}
{com}.         lab def slry_elecpolbur 1 "Bureaucrats earn much more" 2 "Bureaucrats earn slightly more" 3 "Both earn the same" 4 "Politicians earn slightly" 5 "Politicians earn much more"
{txt}
{com}.         lab val slry_elecpolbur slry_elecpolbur
{txt}
{com}.         
.         fre slry_elecpolbur
{res}
{txt}slry_elecpolbur {hline 2} Earning more bureaucrat or politician (elec. politician)
{txt}{hline 40}{hline 1}{c TT}{hline 44}
{txt}        {txt}                                 {c |}      Freq.    Percent      Valid       Cum.
{txt}{hline 40}{hline 1}{c +}{hline 44}
{txt}Valid   1 Bureaucrats earn much more     {c |}{res}          5       8.20      21.74      21.74
{txt}        2 Bureaucrats earn slightly more {c |}{res}          3       4.92      13.04      34.78
{txt}        3 Both earn the same             {c |}{res}          4       6.56      17.39      52.17
{txt}        4 Politicians earn slightly      {c |}{res}          5       8.20      21.74      73.91
{txt}        5 Politicians earn much more     {c |}{res}          6       9.84      26.09     100.00
{txt}        Total                            {c |}{res}         23      37.70     100.00           
{txt}Missing .                                {c |}{res}         38      62.30                      
{txt}Total                                    {c |}{res}         61     100.00                      
{txt}{hline 40}{hline 1}{c BT}{hline 44}

{com}.         
.         gen test_slry_elecpolbur = (slry_elecpolbur != .)
{txt}
{com}.         replace test_slry_elecpolbur = . if asked_survey == 0 
{txt}(37 real changes made, 37 to missing)

{com}.         replace test_slry_elecpolbur = . if elecpol_ovrsee == 0
{txt}(1 real change made, 1 to missing)

{com}.         fre test_slry_elecpolbur
{res}
{txt}test_slry_elecpolbur
{txt}{hline 9}{hline 1}{c TT}{hline 44}
{txt}        {txt}  {c |}      Freq.    Percent      Valid       Cum.
{txt}{hline 9}{hline 1}{c +}{hline 44}
{txt}Valid   1 {c |}{res}         23      37.70     100.00     100.00
{txt}Missing . {c |}{res}         38      62.30                      
{txt}Total     {c |}{res}         61     100.00                      
{txt}{hline 9}{hline 1}{c BT}{hline 44}

{com}.         assert inlist(test_slry_elecpolbur,.,1)
{txt}
{com}.         
.         drop test_slry_elecpolbur
{txt}
{com}.         
.         * slry_apolbur
.         
.         lab var slry_apolbur "Earning more bureaucrat or politician (app. politician)"
{txt}
{com}.         
.         fre slry_apolbur
{res}
{txt}slry_apolbur {hline 2} Earning more bureaucrat or politician (app. politician)
{txt}{hline 8}{hline 1}{c TT}{hline 44}
{txt}        {txt} {c |}      Freq.    Percent      Valid       Cum.
{txt}{hline 8}{hline 1}{c +}{hline 44}
{txt}Missing  {c |}{res}         61     100.00                      
{txt}{hline 8}{hline 1}{c BT}{hline 44}

{com}.         
.         replace slry_apolbur = "1" if regexm(slry_apolbur,"Bureaucrats earn much")
{txt}(0 real changes made)

{com}.         replace slry_apolbur = "2" if regexm(slry_apolbur,"Bureaucrats earn slightly")
{txt}(0 real changes made)

{com}.         replace slry_apolbur = "3" if regexm(slry_apolbur,"Both earn")
{txt}(0 real changes made)

{com}.         replace slry_apolbur = "4" if regexm(slry_apolbur,"Politicians earn slightly")
{txt}(0 real changes made)

{com}.         replace slry_apolbur = "5" if regexm(slry_apolbur,"Politicians earn much")
{txt}(0 real changes made)

{com}.         destring slry_apolbur, replace
{txt}slry_apolbur: all characters numeric; {res}replaced {txt}as {res}byte
{txt}(61 missing values generated)
{res}{txt}
{com}.         lab def slry_apolbur 1 "Bureaucrats earn much more" 2 "Bureaucrats earn slightly more" 3 "Both earn the same" 4 "Politicians earn slightly" 5 "Politicians earn much more"
{txt}
{com}.         lab val slry_apolbur slry_apolbur
{txt}
{com}.         
.         fre slry_apolbur
{res}
{txt}slry_apolbur {hline 2} Earning more bureaucrat or politician (app. politician)
{txt}{hline 13}{hline 1}{c TT}{hline 44}
{txt}        {txt}      {c |}      Freq.    Percent      Valid       Cum.
{txt}{hline 13}{hline 1}{c +}{hline 44}
{txt}Missing .     {c |}{res}         61     100.00                      
{txt}{hline 13}{hline 1}{c BT}{hline 44}

{com}.         
.         gen test_slry_apolbur = (slry_apolbur != .)
{txt}
{com}.         replace test_slry_apolbur = . if asked_survey == 0
{txt}(37 real changes made, 37 to missing)

{com}.         replace test_slry_apolbur = . if aptpol_d == 0
{txt}(14 real changes made, 14 to missing)

{com}.         replace test_slry_apolbur = . if elecpol_ovrsee == 1 
{txt}(10 real changes made, 10 to missing)

{com}.         fre test_slry_apolbur
{res}
{txt}test_slry_apolbur
{txt}{hline 9}{hline 1}{c TT}{hline 44}
{txt}        {txt}  {c |}      Freq.    Percent      Valid       Cum.
{txt}{hline 9}{hline 1}{c +}{hline 44}
{txt}Missing . {c |}{res}         61     100.00                      
{txt}{hline 9}{hline 1}{c BT}{hline 44}

{com}.         assert inlist(test_slry_apolbur,.,1)
{txt}
{com}.         
.         drop test_slry_apolbur
{txt}
{com}.         
.         * We merge the payment module
.         
.         merge m:1 responseid using "`payment_module'"
{res}
{txt}{col 5}Result{col 38}# of obs.
{col 5}{hline 41}
{col 5}not matched{col 30}{res}               0
{txt}{col 5}matched{col 30}{res}              61{txt}  (_merge==3)
{col 5}{hline 41}

{com}.         drop _merge
{txt}
{com}.         order donate_d org_donation_id paid_status, after(duration_minutes)
{txt}
{com}.         
.         * fdout_epol_bgt
.         
.         lab var fdout_epol_bgt "Easy to find out about envelop (elec. politician)"
{txt}
{com}.         
.         fre fdout_epol_bgt
{res}
{txt}fdout_epol_bgt {hline 2} Easy to find out about envelop (elec. politician)
{txt}{hline 26}{hline 1}{c TT}{hline 44}
{txt}        {txt}                   {c |}      Freq.    Percent      Valid       Cum.
{txt}{hline 26}{hline 1}{c +}{hline 44}
{txt}Valid   Somewhat difficult {c |}{res}          3       4.92      13.04      13.04
{txt}        Somewhat easy      {c |}{res}          6       9.84      26.09      39.13
{txt}        Very easy          {c |}{res}         14      22.95      60.87     100.00
{txt}        Total              {c |}{res}         23      37.70     100.00           
{txt}Missing                    {c |}{res}         38      62.30                      
{txt}Total                      {c |}{res}         61     100.00                      
{txt}{hline 26}{hline 1}{c BT}{hline 44}

{com}.         
.         replace fdout_epol_bgt = "1" if regexm(fdout_epol_bgt,"Very easy")
{txt}(14 real changes made)

{com}.         replace fdout_epol_bgt = "2" if regexm(fdout_epol_bgt,"Somewhat easy")
{txt}(6 real changes made)

{com}.         replace fdout_epol_bgt = "3" if regexm(fdout_epol_bgt,"Somewhat difficult")
{txt}(3 real changes made)

{com}.         replace fdout_epol_bgt = "4" if regexm(fdout_epol_bgt,"Very difficult")
{txt}(0 real changes made)

{com}.         replace fdout_epol_bgt = "5" if regexm(fdout_epol_bgt,"Not applicable")
{txt}(0 real changes made)

{com}.         replace fdout_epol_bgt = "6" if regexm(fdout_epol_bgt,"Do not know")
{txt}(0 real changes made)

{com}.         
.         destring fdout_epol_bgt, replace
{txt}fdout_epol_bgt: all characters numeric; {res}replaced {txt}as {res}byte
{txt}(38 missing values generated)
{res}{txt}
{com}.         lab def fdout_epol_bgt 1 "Very easy" 2 "Somewhat easy" 3 "Somewhat difficult" 4 "Very difficult" 5 "Not applicable, this level of government has no spending power" 6 "Do not know / Refuse to answer"
{txt}
{com}.         lab val fdout_epol_bgt fdout_epol_bgt
{txt}
{com}.         
.         fre fdout_epol_bgt
{res}
{txt}fdout_epol_bgt {hline 2} Easy to find out about envelop (elec. politician)
{txt}{hline 28}{hline 1}{c TT}{hline 44}
{txt}        {txt}                     {c |}      Freq.    Percent      Valid       Cum.
{txt}{hline 28}{hline 1}{c +}{hline 44}
{txt}Valid   1 Very easy          {c |}{res}         14      22.95      60.87      60.87
{txt}        2 Somewhat easy      {c |}{res}          6       9.84      26.09      86.96
{txt}        3 Somewhat difficult {c |}{res}          3       4.92      13.04     100.00
{txt}        Total                {c |}{res}         23      37.70     100.00           
{txt}Missing .                    {c |}{res}         38      62.30                      
{txt}Total                        {c |}{res}         61     100.00                      
{txt}{hline 28}{hline 1}{c BT}{hline 44}

{com}.         
.         gen test_fdout_epol_bgt = (fdout_epol_bgt != .)
{txt}
{com}.         replace test_fdout_epol_bgt = . if asked_survey == 0 
{txt}(37 real changes made, 37 to missing)

{com}.         replace test_fdout_epol_bgt = . if elecpol_ovrsee == 0
{txt}(1 real change made, 1 to missing)

{com}.         fre test_fdout_epol_bgt
{res}
{txt}test_fdout_epol_bgt
{txt}{hline 9}{hline 1}{c TT}{hline 44}
{txt}        {txt}  {c |}      Freq.    Percent      Valid       Cum.
{txt}{hline 9}{hline 1}{c +}{hline 44}
{txt}Valid   1 {c |}{res}         23      37.70     100.00     100.00
{txt}Missing . {c |}{res}         38      62.30                      
{txt}Total     {c |}{res}         61     100.00                      
{txt}{hline 9}{hline 1}{c BT}{hline 44}

{com}.         assert inlist(test_fdout_epol_bgt,.,1)
{txt}
{com}.         
.         drop test_fdout_epol_bgt
{txt}
{com}.         
.         * fdout_apol_bgt
.         
.         lab var fdout_apol_bgt "Easy to find out about envelop (app. politician)"
{txt}
{com}.         
.         fre fdout_apol_bgt
{res}
{txt}fdout_apol_bgt {hline 2} Easy to find out about envelop (app. politician)
{txt}{hline 8}{hline 1}{c TT}{hline 44}
{txt}        {txt} {c |}      Freq.    Percent      Valid       Cum.
{txt}{hline 8}{hline 1}{c +}{hline 44}
{txt}Missing  {c |}{res}         61     100.00                      
{txt}{hline 8}{hline 1}{c BT}{hline 44}

{com}.         
.         replace fdout_apol_bgt = "1" if regexm(fdout_apol_bgt,"Very easy")
{txt}(0 real changes made)

{com}.         replace fdout_apol_bgt = "2" if regexm(fdout_apol_bgt,"Somewhat easy")
{txt}(0 real changes made)

{com}.         replace fdout_apol_bgt = "3" if regexm(fdout_apol_bgt,"Somewhat difficult")
{txt}(0 real changes made)

{com}.         replace fdout_apol_bgt = "4" if regexm(fdout_apol_bgt,"Very difficult")
{txt}(0 real changes made)

{com}.         replace fdout_apol_bgt = "5" if regexm(fdout_apol_bgt,"Not applicable")
{txt}(0 real changes made)

{com}.         replace fdout_apol_bgt = "6" if regexm(fdout_apol_bgt,"Do not know")
{txt}(0 real changes made)

{com}.         
.         destring fdout_apol_bgt, replace
{txt}fdout_apol_bgt: all characters numeric; {res}replaced {txt}as {res}byte
{txt}(61 missing values generated)
{res}{txt}
{com}.         lab def fdout_apol_bgt 1 "Very easy" 2 "Somewhat easy" 3 "Somewhat difficult" 4 "Very difficult" 5 "Not applicable, this level of government has no spending power" 6 "Do not know / Refuse to answer"
{txt}
{com}.         lab val fdout_apol_bgt fdout_apol_bgt
{txt}
{com}.         
.         fre fdout_apol_bgt
{res}
{txt}fdout_apol_bgt {hline 2} Easy to find out about envelop (app. politician)
{txt}{hline 13}{hline 1}{c TT}{hline 44}
{txt}        {txt}      {c |}      Freq.    Percent      Valid       Cum.
{txt}{hline 13}{hline 1}{c +}{hline 44}
{txt}Missing .     {c |}{res}         61     100.00                      
{txt}{hline 13}{hline 1}{c BT}{hline 44}

{com}.         
.         gen test_fdout_apol_bgt = (fdout_apol_bgt != .)
{txt}
{com}.         replace test_fdout_apol_bgt = . if asked_survey == 0
{txt}(37 real changes made, 37 to missing)

{com}.         replace test_fdout_apol_bgt = . if aptpol_d == 0
{txt}(14 real changes made, 14 to missing)

{com}.         replace test_fdout_apol_bgt = . if elecpol_ovrsee == 1 
{txt}(10 real changes made, 10 to missing)

{com}.         fre test_fdout_apol_bgt
{res}
{txt}test_fdout_apol_bgt
{txt}{hline 9}{hline 1}{c TT}{hline 44}
{txt}        {txt}  {c |}      Freq.    Percent      Valid       Cum.
{txt}{hline 9}{hline 1}{c +}{hline 44}
{txt}Missing . {c |}{res}         61     100.00                      
{txt}{hline 9}{hline 1}{c BT}{hline 44}

{com}.         assert inlist(test_fdout_apol_bgt,.,1)
{txt}
{com}.         
.         drop test_fdout_apol_bgt
{txt}
{com}.         
.         * budsect_epol
.         
.         lab var budsect_epol "Find about budget allocation to sectors (elec. politician)"
{txt}
{com}.         
.         fre budsect_epol
{res}
{txt}budsect_epol {hline 2} Find about budget allocation to sectors (elec. politician)
{txt}{hline 26}{hline 1}{c TT}{hline 44}
{txt}        {txt}                   {c |}      Freq.    Percent      Valid       Cum.
{txt}{hline 26}{hline 1}{c +}{hline 44}
{txt}Valid   Somewhat difficult {c |}{res}          2       3.28       8.70       8.70
{txt}        Somewhat easy      {c |}{res}          4       6.56      17.39      26.09
{txt}        Very difficult     {c |}{res}          1       1.64       4.35      30.43
{txt}        Very easy          {c |}{res}          9      14.75      39.13      69.57
{txt}        Somewhat easy      {c |}{res}          1       1.64       4.35      73.91
{txt}        Very easy          {c |}{res}          6       9.84      26.09     100.00
{txt}        Total              {c |}{res}         23      37.70     100.00           
{txt}Missing                    {c |}{res}         38      62.30                      
{txt}Total                      {c |}{res}         61     100.00                      
{txt}{hline 26}{hline 1}{c BT}{hline 44}

{com}.         
.         replace budsect_epol = "1" if regexm(budsect_epol,"Very easy")
{txt}(15 real changes made)

{com}.         replace budsect_epol = "2" if regexm(budsect_epol,"Somewhat easy")
{txt}(5 real changes made)

{com}.         replace budsect_epol = "3" if regexm(budsect_epol,"Somewhat difficult")
{txt}(2 real changes made)

{com}.         replace budsect_epol = "4" if regexm(budsect_epol,"Very difficult")
{txt}(1 real change made)

{com}.         replace budsect_epol = "5" if regexm(budsect_epol,"Not applicable")
{txt}(0 real changes made)

{com}.         replace budsect_epol = "6" if regexm(budsect_epol,"Do not know")
{txt}(0 real changes made)

{com}.         
.         destring budsect_epol, replace
{txt}budsect_epol: all characters numeric; {res}replaced {txt}as {res}byte
{txt}(38 missing values generated)
{res}{txt}
{com}.         lab def budsect_epol 1 "Very easy" 2 "Somewhat easy" 3 "Somewhat difficult" 4 "Very difficult" 5 "Not applicable, this level of government has no spending power" 6 "Do not know / Refuse to answer"
{txt}
{com}.         lab val budsect_epol budsect_epol
{txt}
{com}.         
.         fre budsect_epol
{res}
{txt}budsect_epol {hline 2} Find about budget allocation to sectors (elec. politician)
{txt}{hline 28}{hline 1}{c TT}{hline 44}
{txt}        {txt}                     {c |}      Freq.    Percent      Valid       Cum.
{txt}{hline 28}{hline 1}{c +}{hline 44}
{txt}Valid   1 Very easy          {c |}{res}         15      24.59      65.22      65.22
{txt}        2 Somewhat easy      {c |}{res}          5       8.20      21.74      86.96
{txt}        3 Somewhat difficult {c |}{res}          2       3.28       8.70      95.65
{txt}        4 Very difficult     {c |}{res}          1       1.64       4.35     100.00
{txt}        Total                {c |}{res}         23      37.70     100.00           
{txt}Missing .                    {c |}{res}         38      62.30                      
{txt}Total                        {c |}{res}         61     100.00                      
{txt}{hline 28}{hline 1}{c BT}{hline 44}

{com}.         
.         gen test_budsect_epol = (budsect_epol != .)
{txt}
{com}.         replace test_budsect_epol = . if asked_survey == 0 
{txt}(37 real changes made, 37 to missing)

{com}.         replace test_budsect_epol = . if elecpol_ovrsee == 0
{txt}(1 real change made, 1 to missing)

{com}.         fre test_budsect_epol
{res}
{txt}test_budsect_epol
{txt}{hline 9}{hline 1}{c TT}{hline 44}
{txt}        {txt}  {c |}      Freq.    Percent      Valid       Cum.
{txt}{hline 9}{hline 1}{c +}{hline 44}
{txt}Valid   1 {c |}{res}         23      37.70     100.00     100.00
{txt}Missing . {c |}{res}         38      62.30                      
{txt}Total     {c |}{res}         61     100.00                      
{txt}{hline 9}{hline 1}{c BT}{hline 44}

{com}.         assert inlist(test_budsect_epol,.,1)
{txt}
{com}.         
.         drop test_budsect_epol
{txt}
{com}.         
.         * budsect_apol
.         
.         lab var budsect_apol "Find about budget allocation to sectors (app. politician)"
{txt}
{com}.         
.         fre budsect_apol
{res}
{txt}budsect_apol {hline 2} Find about budget allocation to sectors (app. politician)
{txt}{hline 8}{hline 1}{c TT}{hline 44}
{txt}        {txt} {c |}      Freq.    Percent      Valid       Cum.
{txt}{hline 8}{hline 1}{c +}{hline 44}
{txt}Missing  {c |}{res}         61     100.00                      
{txt}{hline 8}{hline 1}{c BT}{hline 44}

{com}.         
.         replace budsect_apol = "1" if regexm(budsect_apol,"Very easy")
{txt}(0 real changes made)

{com}.         replace budsect_apol = "2" if regexm(budsect_apol,"Somewhat easy")
{txt}(0 real changes made)

{com}.         replace budsect_apol = "3" if regexm(budsect_apol,"Somewhat difficult")
{txt}(0 real changes made)

{com}.         replace budsect_apol = "4" if regexm(budsect_apol,"Very difficult")
{txt}(0 real changes made)

{com}.         replace budsect_apol = "5" if regexm(budsect_apol,"Not applicable")
{txt}(0 real changes made)

{com}.         replace budsect_apol = "6" if regexm(budsect_apol,"Do not know")
{txt}(0 real changes made)

{com}.         
.         destring budsect_apol, replace
{txt}budsect_apol: all characters numeric; {res}replaced {txt}as {res}byte
{txt}(61 missing values generated)
{res}{txt}
{com}.         lab def budsect_apol 1 "Very easy" 2 "Somewhat easy" 3 "Somewhat difficult" 4 "Very difficult" 5 "Not applicable, this level of government has no spending power" 6 "Do not know / Refuse to answer"
{txt}
{com}.         lab val budsect_apol budsect_apol
{txt}
{com}.         
.         fre budsect_apol
{res}
{txt}budsect_apol {hline 2} Find about budget allocation to sectors (app. politician)
{txt}{hline 13}{hline 1}{c TT}{hline 44}
{txt}        {txt}      {c |}      Freq.    Percent      Valid       Cum.
{txt}{hline 13}{hline 1}{c +}{hline 44}
{txt}Missing .     {c |}{res}         61     100.00                      
{txt}{hline 13}{hline 1}{c BT}{hline 44}

{com}.         
.         gen test_budsect_apol = (budsect_apol != .)
{txt}
{com}.         replace test_budsect_apol = . if asked_survey == 0
{txt}(37 real changes made, 37 to missing)

{com}.         replace test_budsect_apol = . if aptpol_d == 0
{txt}(14 real changes made, 14 to missing)

{com}.         replace test_budsect_apol = . if elecpol_ovrsee == 1 
{txt}(10 real changes made, 10 to missing)

{com}.         fre test_budsect_apol
{res}
{txt}test_budsect_apol
{txt}{hline 9}{hline 1}{c TT}{hline 44}
{txt}        {txt}  {c |}      Freq.    Percent      Valid       Cum.
{txt}{hline 9}{hline 1}{c +}{hline 44}
{txt}Missing . {c |}{res}         61     100.00                      
{txt}{hline 9}{hline 1}{c BT}{hline 44}

{com}.         assert inlist(test_budsect_apol,.,1)
{txt}
{com}.         
.         drop test_budsect_apol
{txt}
{com}.         
.         * acinfexp_epol
.         
.         lab var acinfexp_epol "Obtain detailed info about expenditures (elec. politician)"
{txt}
{com}.         
.         fre acinfexp_epol
{res}
{txt}acinfexp_epol {hline 2} Obtain detailed info about expenditures (elec. politician)
{txt}{hline 26}{hline 1}{c TT}{hline 44}
{txt}        {txt}                   {c |}      Freq.    Percent      Valid       Cum.
{txt}{hline 26}{hline 1}{c +}{hline 44}
{txt}Valid   Somewhat difficult {c |}{res}          5       8.20      21.74      21.74
{txt}        Somewhat easy      {c |}{res}          3       4.92      13.04      34.78
{txt}        Very difficult     {c |}{res}          1       1.64       4.35      39.13
{txt}        Very easy          {c |}{res}         14      22.95      60.87     100.00
{txt}        Total              {c |}{res}         23      37.70     100.00           
{txt}Missing                    {c |}{res}         38      62.30                      
{txt}Total                      {c |}{res}         61     100.00                      
{txt}{hline 26}{hline 1}{c BT}{hline 44}

{com}.         
.         replace acinfexp_epol = "1" if regexm(acinfexp_epol,"Very easy")
{txt}(14 real changes made)

{com}.         replace acinfexp_epol = "2" if regexm(acinfexp_epol,"Somewhat easy")
{txt}(3 real changes made)

{com}.         replace acinfexp_epol = "3" if regexm(acinfexp_epol,"Somewhat difficult")
{txt}(5 real changes made)

{com}.         replace acinfexp_epol = "4" if regexm(acinfexp_epol,"Very difficult")
{txt}(1 real change made)

{com}.         replace acinfexp_epol = "5" if regexm(acinfexp_epol,"Not applicable")
{txt}(0 real changes made)

{com}.         replace acinfexp_epol = "6" if regexm(acinfexp_epol,"Do not know")
{txt}(0 real changes made)

{com}.         
.         destring acinfexp_epol, replace
{txt}acinfexp_epol: all characters numeric; {res}replaced {txt}as {res}byte
{txt}(38 missing values generated)
{res}{txt}
{com}.         lab def acinfexp_epol 1 "Very easy" 2 "Somewhat easy" 3 "Somewhat difficult" 4 "Very difficult" 5 "Not applicable, this level of government has no spending power" 6 "Do not know / Refuse to answer"
{txt}
{com}.         lab val acinfexp_epol acinfexp_epol
{txt}
{com}.         
.         fre acinfexp_epol
{res}
{txt}acinfexp_epol {hline 2} Obtain detailed info about expenditures (elec. politician)
{txt}{hline 28}{hline 1}{c TT}{hline 44}
{txt}        {txt}                     {c |}      Freq.    Percent      Valid       Cum.
{txt}{hline 28}{hline 1}{c +}{hline 44}
{txt}Valid   1 Very easy          {c |}{res}         14      22.95      60.87      60.87
{txt}        2 Somewhat easy      {c |}{res}          3       4.92      13.04      73.91
{txt}        3 Somewhat difficult {c |}{res}          5       8.20      21.74      95.65
{txt}        4 Very difficult     {c |}{res}          1       1.64       4.35     100.00
{txt}        Total                {c |}{res}         23      37.70     100.00           
{txt}Missing .                    {c |}{res}         38      62.30                      
{txt}Total                        {c |}{res}         61     100.00                      
{txt}{hline 28}{hline 1}{c BT}{hline 44}

{com}.         
.         gen test_acinfexp_epol = (acinfexp_epol != .)
{txt}
{com}.         replace test_acinfexp_epol = . if asked_survey == 0 
{txt}(37 real changes made, 37 to missing)

{com}.         replace test_acinfexp_epol = . if elecpol_ovrsee == 0
{txt}(1 real change made, 1 to missing)

{com}.         fre test_acinfexp_epol
{res}
{txt}test_acinfexp_epol
{txt}{hline 9}{hline 1}{c TT}{hline 44}
{txt}        {txt}  {c |}      Freq.    Percent      Valid       Cum.
{txt}{hline 9}{hline 1}{c +}{hline 44}
{txt}Valid   1 {c |}{res}         23      37.70     100.00     100.00
{txt}Missing . {c |}{res}         38      62.30                      
{txt}Total     {c |}{res}         61     100.00                      
{txt}{hline 9}{hline 1}{c BT}{hline 44}

{com}.         assert inlist(test_acinfexp_epol,.,1)
{txt}
{com}.         
.         drop test_acinfexp_epol
{txt}
{com}.         
.         * acinfexp_apol
.         
.         lab var acinfexp_apol "Obtain detailed info about expenditures (app. politician)"
{txt}
{com}.         
.         fre acinfexp_apol
{res}
{txt}acinfexp_apol {hline 2} Obtain detailed info about expenditures (app. politician)
{txt}{hline 8}{hline 1}{c TT}{hline 44}
{txt}        {txt} {c |}      Freq.    Percent      Valid       Cum.
{txt}{hline 8}{hline 1}{c +}{hline 44}
{txt}Missing  {c |}{res}         61     100.00                      
{txt}{hline 8}{hline 1}{c BT}{hline 44}

{com}.         
.         replace acinfexp_apol = "1" if regexm(acinfexp_apol,"Very easy")
{txt}(0 real changes made)

{com}.         replace acinfexp_apol = "2" if regexm(acinfexp_apol,"Somewhat easy")
{txt}(0 real changes made)

{com}.         replace acinfexp_apol = "3" if regexm(acinfexp_apol,"Somewhat difficult")
{txt}(0 real changes made)

{com}.         replace acinfexp_apol = "4" if regexm(acinfexp_apol,"Very difficult")
{txt}(0 real changes made)

{com}.         replace acinfexp_apol = "5" if regexm(acinfexp_apol,"Not applicable")
{txt}(0 real changes made)

{com}.         replace acinfexp_apol = "6" if regexm(acinfexp_apol,"Do not know")
{txt}(0 real changes made)

{com}.         
.         destring acinfexp_apol, replace
{txt}acinfexp_apol: all characters numeric; {res}replaced {txt}as {res}byte
{txt}(61 missing values generated)
{res}{txt}
{com}.         lab def acinfexp_apol 1 "Very easy" 2 "Somewhat easy" 3 "Somewhat difficult" 4 "Very difficult" 5 "Not applicable, this level of government has no spending power" 6 "Do not know / Refuse to answer"
{txt}
{com}.         lab val acinfexp_apol acinfexp_apol
{txt}
{com}.         
.         fre acinfexp_apol
{res}
{txt}acinfexp_apol {hline 2} Obtain detailed info about expenditures (app. politician)
{txt}{hline 13}{hline 1}{c TT}{hline 44}
{txt}        {txt}      {c |}      Freq.    Percent      Valid       Cum.
{txt}{hline 13}{hline 1}{c +}{hline 44}
{txt}Missing .     {c |}{res}         61     100.00                      
{txt}{hline 13}{hline 1}{c BT}{hline 44}

{com}.         
.         gen test_acinfexp_apol = (acinfexp_apol != .)
{txt}
{com}.         replace test_acinfexp_apol = . if asked_survey == 0
{txt}(37 real changes made, 37 to missing)

{com}.         replace test_acinfexp_apol = . if aptpol_d == 0
{txt}(14 real changes made, 14 to missing)

{com}.         replace test_acinfexp_apol = . if elecpol_ovrsee == 1 
{txt}(10 real changes made, 10 to missing)

{com}.         fre test_acinfexp_apol
{res}
{txt}test_acinfexp_apol
{txt}{hline 9}{hline 1}{c TT}{hline 44}
{txt}        {txt}  {c |}      Freq.    Percent      Valid       Cum.
{txt}{hline 9}{hline 1}{c +}{hline 44}
{txt}Missing . {c |}{res}         61     100.00                      
{txt}{hline 9}{hline 1}{c BT}{hline 44}

{com}.         assert inlist(test_acinfexp_apol,.,1)
{txt}
{com}.         
.         drop test_acinfexp_apol
{txt}
{com}.         
.         * understand_epol
.         
.         lab var understand_epol "Has capacity to read/understand budget (elec. politician)"
{txt}
{com}.         
.         fre understand_epol
{res}
{txt}understand_epol {hline 2} Has capacity to read/understand budget (elec. politician)
{txt}{hline 28}{hline 1}{c TT}{hline 44}
{txt}        {txt}                     {c |}      Freq.    Percent      Valid       Cum.
{txt}{hline 28}{hline 1}{c +}{hline 44}
{txt}Valid   Definitely capable   {c |}{res}          1       1.64       5.26       5.26
{txt}        Only with difficulty {c |}{res}          2       3.28      10.53      15.79
{txt}        Somewhat capable     {c |}{res}          9      14.75      47.37      63.16
{txt}        Definitely capable   {c |}{res}          2       3.28      10.53      73.68
{txt}        Only with difficulty {c |}{res}          1       1.64       5.26      78.95
{txt}        Somewhat capable     {c |}{res}          4       6.56      21.05     100.00
{txt}        Total                {c |}{res}         19      31.15     100.00           
{txt}Missing                      {c |}{res}         42      68.85                      
{txt}Total                        {c |}{res}         61     100.00                      
{txt}{hline 28}{hline 1}{c BT}{hline 44}

{com}.         
.         replace understand_epol = "1" if regexm(understand_epol,"Definitely capable")
{txt}(3 real changes made)

{com}.         replace understand_epol = "2" if regexm(understand_epol,"Somewhat capable")
{txt}(13 real changes made)

{com}.         replace understand_epol = "3" if regexm(understand_epol,"Only with difficulty")
{txt}(3 real changes made)

{com}.         replace understand_epol = "4" if regexm(understand_epol,"Not capable")
{txt}(0 real changes made)

{com}.         replace understand_epol = "5" if regexm(understand_epol,"Do not know")
{txt}(0 real changes made)

{com}.         
.         fre understand_epol
{res}
{txt}understand_epol {hline 2} Has capacity to read/understand budget (elec. politician)
{txt}{hline 13}{hline 1}{c TT}{hline 44}
{txt}        {txt}      {c |}      Freq.    Percent      Valid       Cum.
{txt}{hline 13}{hline 1}{c +}{hline 44}
{txt}Valid   1     {c |}{res}          3       4.92      15.79      15.79
{txt}        2     {c |}{res}         13      21.31      68.42      84.21
{txt}        3     {c |}{res}          3       4.92      15.79     100.00
{txt}        Total {c |}{res}         19      31.15     100.00           
{txt}Missing       {c |}{res}         42      68.85                      
{txt}Total         {c |}{res}         61     100.00                      
{txt}{hline 13}{hline 1}{c BT}{hline 44}

{com}.         
.         destring understand_epol, replace
{txt}understand_epol: all characters numeric; {res}replaced {txt}as {res}byte
{txt}(42 missing values generated)
{res}{txt}
{com}.         lab def understand_epol 1 "Definitely capable" 2 "Somewhat capable" 3 "Only with difficulty" 4 "Not capable" 5 "Do not know / Refuse to answer"
{txt}
{com}.         lab val understand_epol understand_epol
{txt}
{com}.         
.         fre understand_epol
{res}
{txt}understand_epol {hline 2} Has capacity to read/understand budget (elec. politician)
{txt}{hline 30}{hline 1}{c TT}{hline 44}
{txt}        {txt}                       {c |}      Freq.    Percent      Valid       Cum.
{txt}{hline 30}{hline 1}{c +}{hline 44}
{txt}Valid   1 Definitely capable   {c |}{res}          3       4.92      15.79      15.79
{txt}        2 Somewhat capable     {c |}{res}         13      21.31      68.42      84.21
{txt}        3 Only with difficulty {c |}{res}          3       4.92      15.79     100.00
{txt}        Total                  {c |}{res}         19      31.15     100.00           
{txt}Missing .                      {c |}{res}         42      68.85                      
{txt}Total                          {c |}{res}         61     100.00                      
{txt}{hline 30}{hline 1}{c BT}{hline 44}

{com}.         
.         gen test_understand_epol = (understand_epol != .)
{txt}
{com}.         replace test_understand_epol = . if asked_survey == 0 
{txt}(37 real changes made, 37 to missing)

{com}.         replace test_understand_epol = . if elecpol_ovrsee == 0
{txt}(1 real change made, 1 to missing)

{com}.         fre test_understand_epol
{res}
{txt}test_understand_epol
{txt}{hline 13}{hline 1}{c TT}{hline 44}
{txt}        {txt}      {c |}      Freq.    Percent      Valid       Cum.
{txt}{hline 13}{hline 1}{c +}{hline 44}
{txt}Valid   0     {c |}{res}          4       6.56      17.39      17.39
{txt}        1     {c |}{res}         19      31.15      82.61     100.00
{txt}        Total {c |}{res}         23      37.70     100.00           
{txt}Missing .     {c |}{res}         38      62.30                      
{txt}Total         {c |}{res}         61     100.00                      
{txt}{hline 13}{hline 1}{c BT}{hline 44}

{com}.         *assert inlist(test_understand_epol,.,1)
.         
.         *drop test_understand_epol
.         
.         * understand_apol
.         
.         lab var understand_apol "Has capacity to read/understand budget (app. politician)"
{txt}
{com}.         
.         fre understand_apol
{res}
{txt}understand_apol {hline 2} Has capacity to read/understand budget (app. politician)
{txt}{hline 28}{hline 1}{c TT}{hline 44}
{txt}        {txt}                     {c |}      Freq.    Percent      Valid       Cum.
{txt}{hline 28}{hline 1}{c +}{hline 44}
{txt}Valid   Definitely capable   {c |}{res}          1       1.64      50.00      50.00
{txt}        Only with difficulty {c |}{res}          1       1.64      50.00     100.00
{txt}        Total                {c |}{res}          2       3.28     100.00           
{txt}Missing                      {c |}{res}         59      96.72                      
{txt}Total                        {c |}{res}         61     100.00                      
{txt}{hline 28}{hline 1}{c BT}{hline 44}

{com}.         
.         replace understand_apol = "1" if regexm(understand_apol,"Definitely capable")
{txt}(1 real change made)

{com}.         replace understand_apol = "2" if regexm(understand_apol,"Somewhat capable")
{txt}(0 real changes made)

{com}.         replace understand_apol = "3" if regexm(understand_apol,"Only with difficulty")
{txt}(1 real change made)

{com}.         replace understand_apol = "4" if regexm(understand_apol,"Not capable")
{txt}(0 real changes made)

{com}.         replace understand_apol = "5" if regexm(understand_apol,"Do not know")
{txt}(0 real changes made)

{com}.         
.         fre understand
{bf}{err}understand{sf} ambiguous abbreviation
{txt}{search r(111), local:r(111);}

end of do-file

{search r(111), local:r(111);}

{com}. do "/var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//SD44938.000000"
{txt}
{com}. 
.         * Purpose: Importing data to run HFC
.         
.         * Setting up globals
.         
.         if "`c(username)'" == "fredericcochinard" {c -(}
.                 
.                 global import_folder "/Users/fredericcochinard/Dropbox/Expert survey/Data/0.survey_dataset/0.import"
.                 global output "/Users/fredericcochinard/Dropbox/Expert survey/Data/0.survey_dataset/1.output"
.                 
.                 {c )-}
{txt}
{com}.                 
.         if "`c(username)'" == "" {c -(}
.         
.                 
.                 {c )-}
{txt}
{com}.         
.         * Looking for renaming folder with problem
.         
.         local myfiles: dir "$import_folder" files "*.xlsx"
{txt}
{com}. 
.         foreach file of local myfiles {c -(}
{txt}  2{com}.                 
.                 local subfile = substr("`file'", 1, .)
{txt}  3{com}.                 local subfile : subinstr local subfile " " "_", all
{txt}  4{com}.                 ! mv "${c -(}import_folder{c )-}/`file'" "${c -(}import_folder{c )-}/`subfile'"
{txt}  5{com}.                 
.                 {c )-}
{txt}

{com}.         
.         * Looking for dataset
.         
.         filelist , dir("$import_folder") pat("*.xlsx")
{res}{txt}Number of files found = {res}1
{txt}
{com}.         
.         gen url = filename
{txt}
{com}.         
.         levelsof url
{txt}`"Expert_survey_February_18,_2025_16.23.xlsx"'

{com}. 
.         local lvlfiles `r(levels)'
{txt}
{com}.         
.         local z = 0
{txt}
{com}.         
.         foreach lvl of local lvlfiles {c -(}
{txt}  2{com}.         
.                 local z = `z' + 1
{txt}  3{com}.                 
.                 local temp : subinstr local lvl `"""' "", all
{txt}  4{com}.                 local url : subinstr local temp "'" "", all
{txt}  5{com}.         
.                 import excel "${c -(}import_folder{c )-}/`url'", first case(lower) clear
{txt}  6{com}.                 
.                 gen num = _n
{txt}  7{com}.                 drop if num == 1
{txt}  8{com}.                 
.                 * Preparing the append
.                 
.                 tempfile data`z'
{txt}  9{com}.                 sa "`data`z''"
{txt} 10{com}.                 
.                 {c )-}
{res}{txt}(1 observation deleted)
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.000001 saved

{com}.                 
.         * We append the dataset to start cleaning
.         
.         use "`data1'", clear
{txt}
{com}.         
.         forvalues x = 2/`z' {c -(}
{txt}  2{com}.         
.                 append using "`data`x''"
{txt}  3{com}.                 
.                 {c )-}
{txt}
{com}.                 
.         duplicates drop

{p 0 4}{txt}Duplicates in terms of {txt} all variables{p_end}

(0 observations are duplicates)

{com}.         
.         * We keep relevant variable
.         drop if recipientemail == "frederic.cochinard@gmail.com"
{txt}(8 observations deleted)

{com}.         drop if recipientemail == "vedpant+spanish@college.harvard.edu"
{txt}(1 observation deleted)

{com}.         drop if recipientemail == "frederic.cochinard+3@gmail.com"
{txt}(1 observation deleted)

{com}.         drop if recipientemail == "frederic.cochinard+1@gmail.com"
{txt}(1 observation deleted)

{com}.         
.         * We remove observation that are not finished
.         drop if finished == "False"
{txt}(9 observations deleted)

{com}.         
.         * We create a save
.         
.         tempfile save_data
{txt}
{com}.         sa "`save_data'"
{txt}file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.000002 saved

{com}.         
.         ******************
.         * Payment module *
.         ******************
.         
.         preserve
{txt}
{com}.         
.         keep responseid method_pay_bank_in_q-q977
{txt}
{com}.         compress
  {txt}variable {bf}method_pay_bank_in_q{sf} was {bf}{res}str237{sf}{txt} now {bf}{res}str24{sf}
  {txt}variable {bf}expert_donation_org{sf} was {bf}{res}str129{sf}{txt} now {bf}{res}str23{sf}
  {txt}variable {bf}q967{sf} was {bf}{res}str236{sf}{txt} now {bf}{res}str65{sf}
  {txt}variable {bf}q978{sf} was {bf}{res}str326{sf}{txt} now {bf}{res}str16{sf}
  {txt}variable {bf}q979{sf} was {bf}{res}str104{sf}{txt} now {bf}{res}str39{sf}
  {txt}variable {bf}q980{sf} was {bf}{res}str95{sf}{txt} now {bf}{res}str11{sf}
  {txt}variable {bf}q987{sf} was {bf}{res}str170{sf}{txt} now {bf}{res}str24{sf}
  {txt}variable {bf}q984{sf} was {bf}{res}str326{sf}{txt} now {bf}{res}str1{sf}
  {txt}variable {bf}q985{sf} was {bf}{res}str104{sf}{txt} now {bf}{res}str1{sf}
  {txt}variable {bf}q986{sf} was {bf}{res}str95{sf}{txt} now {bf}{res}str1{sf}
  {txt}variable {bf}q988{sf} was {bf}{res}str170{sf}{txt} now {bf}{res}str1{sf}
  {txt}variable {bf}q989{sf} was {bf}{res}str559{sf}{txt} now {bf}{res}str1{sf}
  {txt}variable {bf}q990{sf} was {bf}{res}str102{sf}{txt} now {bf}{res}str1{sf}
  {txt}variable {bf}q991{sf} was {bf}{res}str93{sf}{txt} now {bf}{res}str1{sf}
  {txt}variable {bf}q992{sf} was {bf}{res}str170{sf}{txt} now {bf}{res}str1{sf}
  {txt}variable {bf}q998{sf} was {bf}{res}str537{sf}{txt} now {bf}{res}str1{sf}
  {txt}variable {bf}q997{sf} was {bf}{res}str105{sf}{txt} now {bf}{res}str1{sf}
  {txt}variable {bf}q999{sf} was {bf}{res}str104{sf}{txt} now {bf}{res}str1{sf}
  {txt}variable {bf}q1000{sf} was {bf}{res}str95{sf}{txt} now {bf}{res}str1{sf}
  {txt}variable {bf}q1001{sf} was {bf}{res}str170{sf}{txt} now {bf}{res}str1{sf}
  {txt}variable {bf}q977{sf} was {bf}{res}str502{sf}{txt} now {bf}{res}str23{sf}
{txt}  (46,101 bytes saved)

{com}.         
.         * Donate_d
.         
.         gen donate_d = 0
{txt}
{com}.         replace donate_d = 1 if method_pay_bank_in_q == "I prefer to donate"
{txt}(3 real changes made)

{com}.         
.         * Special case
.         replace donate_d = 1 if responseid == "R_4ouc7tR6BFj3gpb" // respondent is refusing to take money in comments
{txt}(1 real change made)

{com}.         replace donate_d = 1 if responseid == "R_4Iow7YzsoT2KTOx" // respondent is writing cancel in comments
{txt}(1 real change made)

{com}.         
.         lab var donate_d "Respondent decided to donate"
{txt}
{com}.         lab def donate_d 0 "No" 1 "Yes"
{txt}
{com}.         lab val donate_d donate_d
{txt}
{com}.         order donate_d, after(responseid)
{txt}
{com}.         
.         * Org
.         
.         gen org_donation_id = "" 
{txt}(11 missing values generated)

{com}.         replace org_donation_id = expert_donation_org if donate_d == 1
{txt}variable {bf}org_donation_id{sf} was {bf}{res}str1{sf}{txt} now {bf}{res}str23{sf}
{txt}(3 real changes made)

{com}.         replace org_donation_id = "No choice" if donate_d == 1 & org_donation_id == ""
{txt}(2 real changes made)

{com}.         lab var org_donation_id "Name of the organization the respondent chose to donate"
{txt}
{com}.         order org_donation_id, after(donate_d)
{txt}
{com}.         
.         * Paid status
.         
.         gen paid_status = 0
{txt}
{com}.         replace paid_status = 2 if donate_d == 1
{txt}(5 real changes made)

{com}.         
.         * Case of payment
.         
.         lab var paid_status "Status of payment of the respondent"
{txt}
{com}.         lab def paid_status 0 "Not yet" 1 "Yes" 2 "Donation"
{txt}
{com}.         lab val paid_status paid_status
{txt}
{com}.         order paid_status, after(org_donation_id)
{txt}
{com}.         
.         keep responseid donate_d org_donation_id paid_status
{txt}
{com}.         
.         tempfile payment_module
{txt}
{com}.         sa "`payment_module'"
{txt}file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.000004 saved

{com}.         
.         restore
{txt}
{com}.         
.         * Main form of survey 
.         keep country full_name recipientemail responseid progress durationinseconds finished userlanguage num_unit confirmation_* ///
>         title_bur* elecpol_ovrsee* title_elecpol* aptpol_d* title_aptpol* who_aptpol* mostinf_servdel* educ_elecpolbur* ///
>         educ_apolbur* slry_elecpolbur* slry_apolbur* fdout_epol_bgt* fdout_apol_bgt* budsect_epol* budsect_apol* acinfexp_epol* /// 
>         acinfexp_apol* understand_epol* understand_apol* acttake_epol* acttake_epol* acttake_apol* acttake_apol* likely* why_likchan* /// 
>         who_apt_bur* who_apt_bur* who_fir_bur* who_fir_bur* ocap_epol* ocap_apol* prio_epol* prio_apol* overall_conf* avg_educ_epol* ///
>         avg_educ_apol* avg_educ_buro* avg_slry_epol* avg_slry_apol* avg_slry_buro* //
{txt}
{com}.         
.         destring durationinseconds progress, replace
{txt}durationinseconds: all characters numeric; {res}replaced {txt}as {res}int
{txt}progress: all characters numeric; {res}replaced {txt}as {res}byte
{txt}
{com}.         replace durationinseconds = round(durationinseconds/60)
{txt}(11 real changes made)

{com}.         ren durationinseconds duration_minutes
{res}{txt}
{com}. 
.         *--
.         
.         local id country full_name recipientemail responseid userlanguage num_unit finished progress duration_minutes
{txt}
{com}.         
.         order `id', first
{txt}
{com}.         duplicates drop `id', force

{p 0 4}{txt}Duplicates in terms of {res} country full_name recipientemail responseid userlanguage num_unit finished progress duration_minutes{p_end}

{txt}(0 observations are duplicates)

{com}.         
.         * Renaming others
.         
.         forvalues x = 1/3 {c -(}
{txt}  2{com}.                 
.                 forvalues y = 1/6 {c -(} 
{txt}  3{com}.                 
.                         cap ren who_apt_bur_`x'_`y'_8_text who_apt_buroth_`x'_`y'
{txt}  4{com}.                         cap ren who_fir_bur_`x'_`y'_8_text who_fir_buroth_`x'_`y'
{txt}  5{com}.                         cap ren acttake_epol_`x'_`y'_9_text acttake_epoloth_`x'_`y'
{txt}  6{com}.                         cap ren acttake_apol_`x'_`y'_9_text acttake_apoloth_`x'_`y'
{txt}  7{com}.                         
.                         {c )-}
{txt}  8{com}.                         
.                 {c )-}
{txt}
{com}.         
.         #delimit ;
{txt}delimiter now ;
{com}.         local var confirmation
>         title_bur 
>         elecpol_ovrsee
>         title_elecpol
>         aptpol_d
>         title_aptpol
>         who_aptpol
>         mostinf_servdel
>         educ_elecpolbur
>         educ_apolbur
>         slry_elecpolbur
>         slry_apolbur
>         fdout_epol_bgt
>         fdout_apol_bgt
>         budsect_epol
>         budsect_apol
>         acinfexp_epol
>         acinfexp_apol
>         understand_epol
>         understand_apol
>         acttake_epol
>         acttake_epoloth
>         acttake_apol
>         acttake_apoloth
>         likely
>         why_likchan
>         who_apt_bur
>         who_apt_buroth
>         who_fir_bur
>         who_fir_buroth
>         ocap_epol
>         ocap_apol
>         prio_epol
>         prio_apol
>         overall_conf
>         avg_educ_epol
>         avg_educ_apol
>         avg_educ_buro
>         avg_slry_epol
>         avg_slry_apol
>         avg_slry_buro
>         
>         ;
{txt}
{com}.                 #delimit cr
{txt}delimiter now cr
{com}. 
.         reshape long `var', i(`id') j(pos) s
{txt}(note: j = _1_1 _1_4 _1_5 _1_6 _2_1 _2_2 _2_4 _2_5 _2_6 _3_1 _3_2 _3_3 _3_4 _3_5 _3_6)
(note: confirmation_1_4 not found)
(note: confirmation_1_5 not found)
(note: confirmation_1_6 not found)
(note: confirmation_2_4 not found)
(note: confirmation_2_5 not found)
(note: confirmation_2_6 not found)
(note: confirmation_3_4 not found)
(note: confirmation_3_5 not found)
(note: confirmation_3_6 not found)

Data{col 36}wide{col 43}->{col 48}long
{hline 77}
Number of obs.                 {res}      11   {txt}->{res}     165
{txt}Number of variables            {res}     615   {txt}->{res}      51
{txt}j variable (15 values)                    ->   {res}pos
{txt}xij variables:
{res}confirmation_1_1 confirmation_1_4 ... confirmation_3_6{txt}->{res}confirmation
title_bur_1_1 title_bur_1_4 ... title_bur_3_6{txt}->{res}title_bur
elecpol_ovrsee_1_1 elecpol_ovrsee_1_4 ... elecpol_ovrsee_3_6{txt}->{res}elecpol_ovrsee
title_elecpol_1_1 title_elecpol_1_4 ... title_elecpol_3_6{txt}->{res}title_elecpol
aptpol_d_1_1 aptpol_d_1_4 ... aptpol_d_3_6{txt}->   {res}aptpol_d
title_aptpol_1_1 title_aptpol_1_4 ... title_aptpol_3_6{txt}->{res}title_aptpol
who_aptpol_1_1 who_aptpol_1_4 ... who_aptpol_3_6{txt}->{res}who_aptpol
mostinf_servdel_1_1 mostinf_servdel_1_4 ... mostinf_servdel_3_6{txt}->{res}mostinf_servdel
educ_elecpolbur_1_1 educ_elecpolbur_1_4 ... educ_elecpolbur_3_6{txt}->{res}educ_elecpolbur
educ_apolbur_1_1 educ_apolbur_1_4 ... educ_apolbur_3_6{txt}->{res}educ_apolbur
slry_elecpolbur_1_1 slry_elecpolbur_1_4 ... slry_elecpolbur_3_6{txt}->{res}slry_elecpolbur
slry_apolbur_1_1 slry_apolbur_1_4 ... slry_apolbur_3_6{txt}->{res}slry_apolbur
fdout_epol_bgt_1_1 fdout_epol_bgt_1_4 ... fdout_epol_bgt_3_6{txt}->{res}fdout_epol_bgt
fdout_apol_bgt_1_1 fdout_apol_bgt_1_4 ... fdout_apol_bgt_3_6{txt}->{res}fdout_apol_bgt
budsect_epol_1_1 budsect_epol_1_4 ... budsect_epol_3_6{txt}->{res}budsect_epol
budsect_apol_1_1 budsect_apol_1_4 ... budsect_apol_3_6{txt}->{res}budsect_apol
acinfexp_epol_1_1 acinfexp_epol_1_4 ... acinfexp_epol_3_6{txt}->{res}acinfexp_epol
acinfexp_apol_1_1 acinfexp_apol_1_4 ... acinfexp_apol_3_6{txt}->{res}acinfexp_apol
understand_epol_1_1 understand_epol_1_4 ... understand_epol_3_6{txt}->{res}understand_epol
understand_apol_1_1 understand_apol_1_4 ... understand_apol_3_6{txt}->{res}understand_apol
acttake_epol_1_1 acttake_epol_1_4 ... acttake_epol_3_6{txt}->{res}acttake_epol
acttake_epoloth_1_1 acttake_epoloth_1_4 ... acttake_epoloth_3_6{txt}->{res}acttake_epoloth
acttake_apol_1_1 acttake_apol_1_4 ... acttake_apol_3_6{txt}->{res}acttake_apol
acttake_apoloth_1_1 acttake_apoloth_1_4 ... acttake_apoloth_3_6{txt}->{res}acttake_apoloth
   likely_1_1 likely_1_4 ... likely_3_6   {txt}->   {res}likely
why_likchan_1_1 why_likchan_1_4 ... why_likchan_3_6{txt}->{res}why_likchan
who_apt_bur_1_1 who_apt_bur_1_4 ... who_apt_bur_3_6{txt}->{res}who_apt_bur
who_apt_buroth_1_1 who_apt_buroth_1_4 ... who_apt_buroth_3_6{txt}->{res}who_apt_buroth
who_fir_bur_1_1 who_fir_bur_1_4 ... who_fir_bur_3_6{txt}->{res}who_fir_bur
who_fir_buroth_1_1 who_fir_buroth_1_4 ... who_fir_buroth_3_6{txt}->{res}who_fir_buroth
ocap_epol_1_1 ocap_epol_1_4 ... ocap_epol_3_6{txt}->{res}ocap_epol
ocap_apol_1_1 ocap_apol_1_4 ... ocap_apol_3_6{txt}->{res}ocap_apol
prio_epol_1_1 prio_epol_1_4 ... prio_epol_3_6{txt}->{res}prio_epol
prio_apol_1_1 prio_apol_1_4 ... prio_apol_3_6{txt}->{res}prio_apol
overall_conf_1_1 overall_conf_1_4 ... overall_conf_3_6{txt}->{res}overall_conf
avg_educ_epol_1_1 avg_educ_epol_1_4 ... avg_educ_epol_3_6{txt}->{res}avg_educ_epol
avg_educ_apol_1_1 avg_educ_apol_1_4 ... avg_educ_apol_3_6{txt}->{res}avg_educ_apol
avg_educ_buro_1_1 avg_educ_buro_1_4 ... avg_educ_buro_3_6{txt}->{res}avg_educ_buro
avg_slry_epol_1_1 avg_slry_epol_1_4 ... avg_slry_epol_3_6{txt}->{res}avg_slry_epol
avg_slry_apol_1_1 avg_slry_apol_1_4 ... avg_slry_apol_3_6{txt}->{res}avg_slry_apol
avg_slry_buro_1_1 avg_slry_buro_1_4 ... avg_slry_buro_3_6{txt}->{res}avg_slry_buro
{txt}{hline 77}

{com}.         
.         * Filter data
.         
.         split pos, p("_")
{res}variables created as string: 
{txt}{col 1}pos1{col 7}pos2{col 13}pos3

{com}.         
.         drop pos1
{txt}
{com}.         ren pos2 case_n_unit
{res}{txt}
{com}.         ren pos3 unit_num
{res}{txt}
{com}.         destring case_n_unit unit_num, replace
{txt}case_n_unit: all characters numeric; {res}replaced {txt}as {res}byte
{txt}unit_num: all characters numeric; {res}replaced {txt}as {res}byte
{txt}
{com}.         order case_n_unit unit_num, after(duration_minutes)
{txt}
{com}.         drop pos
{txt}
{com}.         
.         destring num_unit, replace
{txt}num_unit: all characters numeric; {res}replaced {txt}as {res}byte
{txt}
{com}.         drop if num_unit != case_n_unit
{txt}(104 observations deleted)

{com}.         drop num_unit
{txt}
{com}.         
.         compress
  {txt}variable {bf}country{sf} was {bf}{res}str15{sf}{txt} now {bf}{res}str11{sf}
  {txt}variable {bf}full_name{sf} was {bf}{res}str28{sf}{txt} now {bf}{res}str23{sf}
  {txt}variable {bf}recipientemail{sf} was {bf}{res}str35{sf}{txt} now {bf}{res}str32{sf}
  {txt}variable {bf}userlanguage{sf} was {bf}{res}str13{sf}{txt} now {bf}{res}str2{sf}
  {txt}variable {bf}finished{sf} was {bf}{res}str8{sf}{txt} now {bf}{res}str4{sf}
  {txt}variable {bf}title_bur{sf} was {bf}{res}str448{sf}{txt} now {bf}{res}str235{sf}
  {txt}variable {bf}elecpol_ovrsee{sf} was {bf}{res}str352{sf}{txt} now {bf}{res}str3{sf}
  {txt}variable {bf}title_elecpol{sf} was {bf}{res}str312{sf}{txt} now {bf}{res}str288{sf}
  {txt}variable {bf}aptpol_d{sf} was {bf}{res}str332{sf}{txt} now {bf}{res}str30{sf}
  {txt}variable {bf}who_aptpol{sf} was {bf}{res}str96{sf}{txt} now {bf}{res}str84{sf}
  {txt}variable {bf}mostinf_servdel{sf} was {bf}{res}str256{sf}{txt} now {bf}{res}str44{sf}
  {txt}variable {bf}educ_elecpolbur{sf} was {bf}{res}str258{sf}{txt} now {bf}{res}str51{sf}
  {txt}variable {bf}educ_apolbur{sf} was {bf}{res}str260{sf}{txt} now {bf}{res}str1{sf}
  {txt}variable {bf}slry_elecpolbur{sf} was {bf}{res}str316{sf}{txt} now {bf}{res}str47{sf}
  {txt}variable {bf}slry_apolbur{sf} was {bf}{res}str318{sf}{txt} now {bf}{res}str1{sf}
  {txt}variable {bf}fdout_epol_bgt{sf} was {bf}{res}str373{sf}{txt} now {bf}{res}str19{sf}
  {txt}variable {bf}fdout_apol_bgt{sf} was {bf}{res}str375{sf}{txt} now {bf}{res}str1{sf}
  {txt}variable {bf}budsect_epol{sf} was {bf}{res}str217{sf}{txt} now {bf}{res}str19{sf}
  {txt}variable {bf}budsect_apol{sf} was {bf}{res}str219{sf}{txt} now {bf}{res}str1{sf}
  {txt}variable {bf}acinfexp_epol{sf} was {bf}{res}str216{sf}{txt} now {bf}{res}str19{sf}
  {txt}variable {bf}acinfexp_apol{sf} was {bf}{res}str218{sf}{txt} now {bf}{res}str1{sf}
  {txt}variable {bf}understand_epol{sf} was {bf}{res}str214{sf}{txt} now {bf}{res}str21{sf}
  {txt}variable {bf}understand_apol{sf} was {bf}{res}str216{sf}{txt} now {bf}{res}str21{sf}
  {txt}variable {bf}acttake_epol{sf} was {bf}{res}str247{sf}{txt} now {bf}{res}str163{sf}
  {txt}variable {bf}acttake_epoloth{sf} was {bf}{res}str261{sf}{txt} now {bf}{res}str63{sf}
  {txt}variable {bf}acttake_apol{sf} was {bf}{res}str250{sf}{txt} now {bf}{res}str1{sf}
  {txt}variable {bf}acttake_apoloth{sf} was {bf}{res}str264{sf}{txt} now {bf}{res}str1{sf}
  {txt}variable {bf}likely{sf} was {bf}{res}str159{sf}{txt} now {bf}{res}str18{sf}
  {txt}variable {bf}who_apt_bur{sf} was {bf}{res}str126{sf}{txt} now {bf}{res}str64{sf}
  {txt}variable {bf}who_fir_bur{sf} was {bf}{res}str120{sf}{txt} now {bf}{res}str64{sf}
  {txt}variable {bf}who_fir_buroth{sf} was {bf}{res}str134{sf}{txt} now {bf}{res}str77{sf}
  {txt}variable {bf}ocap_epol{sf} was {bf}{res}str359{sf}{txt} now {bf}{res}str55{sf}
  {txt}variable {bf}ocap_apol{sf} was {bf}{res}str361{sf}{txt} now {bf}{res}str1{sf}
  {txt}variable {bf}prio_epol{sf} was {bf}{res}str209{sf}{txt} now {bf}{res}str73{sf}
  {txt}variable {bf}prio_apol{sf} was {bf}{res}str211{sf}{txt} now {bf}{res}str1{sf}
  {txt}variable {bf}overall_conf{sf} was {bf}{res}str191{sf}{txt} now {bf}{res}str17{sf}
  {txt}variable {bf}avg_educ_buro{sf} was {bf}{res}str117{sf}{txt} now {bf}{res}str101{sf}
  {txt}variable {bf}avg_slry_apol{sf} was {bf}{res}str134{sf}{txt} now {bf}{res}str128{sf}
  {txt}variable {bf}avg_slry_buro{sf} was {bf}{res}str134{sf}{txt} now {bf}{res}str87{sf}
  {txt}variable {bf}confirmation{sf} was {bf}{res}str1148{sf}{txt} now {bf}{res}str63{sf}
{txt}  (462,685 bytes saved)

{com}.         
.         * We edit the label 
.         
.         lab var country "Country"
{txt}
{com}.         lab var full_name  "Full name of recipient"
{txt}
{com}.         lab var recipientemail "Recipient email"
{txt}
{com}.         lab var userlanguage "Language used to answer"
{txt}
{com}.         lab var finished "Completion status"
{txt}
{com}.         lab var progress "Progress"
{txt}
{com}.         lab var duration_minutes "Duration in minutes"
{txt}
{com}.         lab var case_n_unit "Original number of entities"
{txt}
{com}.         lab var unit_num "Unit number"
{txt}
{com}.         
.         * Confirmation
.         
.         fre confirmation
{res}
{txt}confirmation
{txt}{hline 54}{hline 1}{c TT}{hline 44}
{txt}        {txt}                                               {c |}      Freq.    Percent      Valid       Cum.
{txt}{hline 54}{hline 1}{c +}{hline 44}
{txt}Valid   No, this is inaccurate. This level needs to be {c |}{res}          2       3.28       7.14       7.14
{txt}        replaced/deleted                               {c |}{res}                                            
{txt}        No, this level needs to be replaced/deleted    {c |}{res}          2       3.28       7.14      14.29
{txt}        Yes, this is accurate                          {c |}{res}         24      39.34      85.71     100.00
{txt}        Total                                          {c |}{res}         28      45.90     100.00           
{txt}Missing                                                {c |}{res}         33      54.10                      
{txt}Total                                                  {c |}{res}         61     100.00                      
{txt}{hline 54}{hline 1}{c BT}{hline 44}

{com}.         replace confirmation = "1" if confirmation == "Yes, this is accurate"
{txt}(24 real changes made)

{com}.         replace confirmation = "0" if regexm(confirmation,"No")
{txt}(4 real changes made)

{com}.         destring confirmation, replace
{txt}confirmation: all characters numeric; {res}replaced {txt}as {res}byte
{txt}(33 missing values generated)
{res}{txt}
{com}.         
.         lab var confirmation "Confirmation of adequacy of unit"
{txt}
{com}.         lab def confirmation 0 "No, this is not accurate. It should be replaced/deleted" 1 "Yes, this is accurate"
{txt}
{com}.         lab val confirmation confirmation
{txt}
{com}.         
.         fre confirmation
{res}
{txt}confirmation {hline 2} Confirmation of adequacy of unit
{txt}{hline 48}{hline 1}{c TT}{hline 44}
{txt}        {txt}                                         {c |}      Freq.    Percent      Valid       Cum.
{txt}{hline 48}{hline 1}{c +}{hline 44}
{txt}Valid   0 No, this is not accurate. It should be {c |}{res}          4       6.56      14.29      14.29
{txt}          replaced/deleted                       {c |}{res}                                            
{txt}        1 Yes, this is accurate                  {c |}{res}         24      39.34      85.71     100.00
{txt}        Total                                    {c |}{res}         28      45.90     100.00           
{txt}Missing .                                        {c |}{res}         33      54.10                      
{txt}Total                                            {c |}{res}         61     100.00                      
{txt}{hline 48}{hline 1}{c BT}{hline 44}

{com}.         
.         order confirmation, after(unit_num)
{txt}
{com}.         
.         * Creating variable about asked_survey (should be updated)
.         
.         gen asked_survey = 0
{txt}
{com}.         replace asked_survey = 1 if confirmation == 1
{txt}(24 real changes made)

{com}.         lab var asked_survey "Survey question asked to respondent"
{txt}
{com}.         lab def yesno 0 "No" 1 "Yes"
{txt}
{com}.         lab val asked_survey yesno
{txt}
{com}.         order asked_survey, after(confirmation)
{txt}
{com}.         
.         * title_bur
.         
.         lab var title_bur "Title of the highest-level bureaucrat in unit"
{txt}
{com}.         
.         gen test_title_bur = (title_bur != "")
{txt}
{com}.         replace test_title_bur = . if asked_survey == 0
{txt}(37 real changes made, 37 to missing)

{com}.         fre test_title_bur
{res}
{txt}test_title_bur
{txt}{hline 9}{hline 1}{c TT}{hline 44}
{txt}        {txt}  {c |}      Freq.    Percent      Valid       Cum.
{txt}{hline 9}{hline 1}{c +}{hline 44}
{txt}Valid   1 {c |}{res}         24      39.34     100.00     100.00
{txt}Missing . {c |}{res}         37      60.66                      
{txt}Total     {c |}{res}         61     100.00                      
{txt}{hline 9}{hline 1}{c BT}{hline 44}

{com}.         assert inlist(test_title_bur,.,1)
{txt}
{com}.         
.         drop test_title_bur
{txt}
{com}.         
.         * elecpol_ovrsee
.         
.         lab var elecpol_ovrsee "Any politicians in unit overseeing service delivery"
{txt}
{com}.         replace elecpol_ovrsee = "0" if elecpol_ovrsee == "No"
{txt}(2 real changes made)

{com}.         replace elecpol_ovrsee = "1" if elecpol_ovrsee == "Yes"
{txt}(23 real changes made)

{com}.         destring elecpol_ovrsee, replace
{txt}elecpol_ovrsee: all characters numeric; {res}replaced {txt}as {res}byte
{txt}(36 missing values generated)
{res}{txt}
{com}.         lab val elecpol_ovrsee yesno
{txt}
{com}.         
.         fre elecpol_ovrsee
{res}
{txt}elecpol_ovrsee {hline 2} Any politicians in unit overseeing service delivery
{txt}{hline 13}{hline 1}{c TT}{hline 44}
{txt}        {txt}      {c |}      Freq.    Percent      Valid       Cum.
{txt}{hline 13}{hline 1}{c +}{hline 44}
{txt}Valid   0 No  {c |}{res}          2       3.28       8.00       8.00
{txt}        1 Yes {c |}{res}         23      37.70      92.00     100.00
{txt}        Total {c |}{res}         25      40.98     100.00           
{txt}Missing .     {c |}{res}         36      59.02                      
{txt}Total         {c |}{res}         61     100.00                      
{txt}{hline 13}{hline 1}{c BT}{hline 44}

{com}.         
.         gen test_elecpol_ovrsee = (elecpol_ovrsee != .)
{txt}
{com}.         replace test_elecpol_ovrsee = . if asked_survey == 0
{txt}(37 real changes made, 37 to missing)

{com}.         fre test_elecpol_ovrsee
{res}
{txt}test_elecpol_ovrsee
{txt}{hline 9}{hline 1}{c TT}{hline 44}
{txt}        {txt}  {c |}      Freq.    Percent      Valid       Cum.
{txt}{hline 9}{hline 1}{c +}{hline 44}
{txt}Valid   1 {c |}{res}         24      39.34     100.00     100.00
{txt}Missing . {c |}{res}         37      60.66                      
{txt}Total     {c |}{res}         61     100.00                      
{txt}{hline 9}{hline 1}{c BT}{hline 44}

{com}.         assert inlist(test_elecpol_ovrsee,.,1)
{txt}
{com}.         
.         drop test_elecpol_ovrsee
{txt}
{com}.         
.         * title_elecpol
.         
.         lab var title_elecpol "Title of the highest-level elected politician in unit"
{txt}
{com}.         
.         gen test_title_elecpol = (title_elecpol != "")
{txt}
{com}.         replace test_title_elecpol = . if asked_survey == 0
{txt}(37 real changes made, 37 to missing)

{com}.         replace test_title_elecpol = . if elecpol_ovrsee == 0
{txt}(1 real change made, 1 to missing)

{com}.         fre test_title_elecpol
{res}
{txt}test_title_elecpol
{txt}{hline 9}{hline 1}{c TT}{hline 44}
{txt}        {txt}  {c |}      Freq.    Percent      Valid       Cum.
{txt}{hline 9}{hline 1}{c +}{hline 44}
{txt}Valid   1 {c |}{res}         23      37.70     100.00     100.00
{txt}Missing . {c |}{res}         38      62.30                      
{txt}Total     {c |}{res}         61     100.00                      
{txt}{hline 9}{hline 1}{c BT}{hline 44}

{com}.         assert inlist(test_title_elecpol,.,1)
{txt}
{com}.         
.         drop test_title_elecpol
{txt}
{com}.         
.         * aptpol_d
.         
.         fre aptpol_d
{res}
{txt}aptpol_d
{txt}{hline 38}{hline 1}{c TT}{hline 44}
{txt}        {txt}                               {c |}      Freq.    Percent      Valid       Cum.
{txt}{hline 38}{hline 1}{c +}{hline 44}
{txt}Valid   Do not know / Refuse to answer {c |}{res}          1       1.64       4.00       4.00
{txt}        No                             {c |}{res}         15      24.59      60.00      64.00
{txt}        Yes                            {c |}{res}          9      14.75      36.00     100.00
{txt}        Total                          {c |}{res}         25      40.98     100.00           
{txt}Missing                                {c |}{res}         36      59.02                      
{txt}Total                                  {c |}{res}         61     100.00                      
{txt}{hline 38}{hline 1}{c BT}{hline 44}

{com}.         
.         lab var aptpol_d "Politician appointed by higher politician in unit"
{txt}
{com}.         replace aptpol_d = "0" if aptpol_d == "No"
{txt}(15 real changes made)

{com}.         replace aptpol_d = "1" if aptpol_d == "Yes"
{txt}(9 real changes made)

{com}.         replace aptpol_d = "-98" if aptpol_d == "Do not know / Refuse to answer"
{txt}(1 real change made)

{com}.         destring aptpol_d, replace
{txt}aptpol_d: all characters numeric; {res}replaced {txt}as {res}byte
{txt}(36 missing values generated)
{res}{txt}
{com}.         lab val aptpol_d yesno
{txt}
{com}.         
.         fre aptpol_d
{res}
{txt}aptpol_d {hline 2} Politician appointed by higher politician in unit
{txt}{hline 15}{hline 1}{c TT}{hline 44}
{txt}        {txt}        {c |}      Freq.    Percent      Valid       Cum.
{txt}{hline 15}{hline 1}{c +}{hline 44}
{txt}Valid   -98     {c |}{res}          1       1.64       4.00       4.00
{txt}        0   No  {c |}{res}         15      24.59      60.00      64.00
{txt}        1   Yes {c |}{res}          9      14.75      36.00     100.00
{txt}        Total   {c |}{res}         25      40.98     100.00           
{txt}Missing .       {c |}{res}         36      59.02                      
{txt}Total           {c |}{res}         61     100.00                      
{txt}{hline 15}{hline 1}{c BT}{hline 44}

{com}.         
.         gen test_aptpol_d = (aptpol_d != .)
{txt}
{com}.         replace test_aptpol_d = . if asked_survey == 0
{txt}(37 real changes made, 37 to missing)

{com}.         fre test_aptpol_d
{res}
{txt}test_aptpol_d
{txt}{hline 9}{hline 1}{c TT}{hline 44}
{txt}        {txt}  {c |}      Freq.    Percent      Valid       Cum.
{txt}{hline 9}{hline 1}{c +}{hline 44}
{txt}Valid   1 {c |}{res}         24      39.34     100.00     100.00
{txt}Missing . {c |}{res}         37      60.66                      
{txt}Total     {c |}{res}         61     100.00                      
{txt}{hline 9}{hline 1}{c BT}{hline 44}

{com}.         assert inlist(test_aptpol_d,.,1)
{txt}
{com}.         
.         drop test_aptpol_d
{txt}
{com}.         
.         * pol_exist_d
.         
.         gen pol_exist_d = 0
{txt}
{com}.         replace pol_exist_d = 1 if aptpol_d == 1 | elecpol_ovrsee == 1
{txt}(23 real changes made)

{com}.         replace pol_exist_d = . if asked_survey == 0
{txt}(37 real changes made, 37 to missing)

{com}.         lab val pol_exist_d yesno
{txt}
{com}.         lab var pol_exist_d "1 if we have either an appointed or elected politician"
{txt}
{com}.         
.         fre pol_exist_d
{res}
{txt}pol_exist_d {hline 2} 1 if we have either an appointed or elected politician
{txt}{hline 13}{hline 1}{c TT}{hline 44}
{txt}        {txt}      {c |}      Freq.    Percent      Valid       Cum.
{txt}{hline 13}{hline 1}{c +}{hline 44}
{txt}Valid   0 No  {c |}{res}          1       1.64       4.17       4.17
{txt}        1 Yes {c |}{res}         23      37.70      95.83     100.00
{txt}        Total {c |}{res}         24      39.34     100.00           
{txt}Missing .     {c |}{res}         37      60.66                      
{txt}Total         {c |}{res}         61     100.00                      
{txt}{hline 13}{hline 1}{c BT}{hline 44}

{com}.         order pol_exist_d, after(aptpol_d)
{txt}
{com}.         
.         * title_aptpol
.         
.         lab var title_aptpol "Title of the highest-level appointed politician in unit"
{txt}
{com}.         
.         gen test_title_aptpol = (title_aptpol != "")
{txt}
{com}.         replace test_title_aptpol = . if asked_survey == 0 
{txt}(37 real changes made, 37 to missing)

{com}.         replace test_title_aptpol = . if aptpol_d == 0 | aptpol_d == -98
{txt}(15 real changes made, 15 to missing)

{com}.         fre test_title_aptpol
{res}
{txt}test_title_aptpol
{txt}{hline 9}{hline 1}{c TT}{hline 44}
{txt}        {txt}  {c |}      Freq.    Percent      Valid       Cum.
{txt}{hline 9}{hline 1}{c +}{hline 44}
{txt}Valid   1 {c |}{res}          9      14.75     100.00     100.00
{txt}Missing . {c |}{res}         52      85.25                      
{txt}Total     {c |}{res}         61     100.00                      
{txt}{hline 9}{hline 1}{c BT}{hline 44}

{com}.         assert inlist(test_title_aptpol,.,1)
{txt}
{com}.         
.         drop test_title_aptpol
{txt}
{com}.         
.         * who_aptpol
.         
.         lab var who_aptpol "Who appoints the highest-level appointed politician in unit"
{txt}
{com}.         
.         gen test_who_aptpol = (who_aptpol != "")
{txt}
{com}.         replace test_who_aptpol = . if asked_survey == 0 
{txt}(37 real changes made, 37 to missing)

{com}.         replace test_who_aptpol = . if aptpol_d == 0 | aptpol_d == -98
{txt}(15 real changes made, 15 to missing)

{com}.         fre test_who_aptpol
{res}
{txt}test_who_aptpol
{txt}{hline 9}{hline 1}{c TT}{hline 44}
{txt}        {txt}  {c |}      Freq.    Percent      Valid       Cum.
{txt}{hline 9}{hline 1}{c +}{hline 44}
{txt}Valid   1 {c |}{res}          9      14.75     100.00     100.00
{txt}Missing . {c |}{res}         52      85.25                      
{txt}Total     {c |}{res}         61     100.00                      
{txt}{hline 9}{hline 1}{c BT}{hline 44}

{com}.         assert inlist(test_who_aptpol,.,1)
{txt}
{com}.         
.         drop test_who_aptpol
{txt}
{com}.         
.         * mostinf_servdel
.         
.         lab var mostinf_servdel "More influential in determining quality of service"
{txt}
{com}.         
.         replace mostinf_servdel = "1" if regexm(mostinf_servdel,"Elected much more")
{txt}(5 real changes made)

{com}.         replace mostinf_servdel = "2" if regexm(mostinf_servdel,"Elected slightly more")
{txt}(0 real changes made)

{com}.         replace mostinf_servdel = "3" if regexm(mostinf_servdel,"About the same")
{txt}(1 real change made)

{com}.         replace mostinf_servdel = "4" if regexm(mostinf_servdel,"Appointed slightly more")
{txt}(0 real changes made)

{com}.         replace mostinf_servdel = "5" if regexm(mostinf_servdel,"Appointed much more")
{txt}(3 real changes made)

{com}.         destring mostinf_servdel, replace
{txt}mostinf_servdel: all characters numeric; {res}replaced {txt}as {res}byte
{txt}(52 missing values generated)
{res}{txt}
{com}.         lab def mostinf_servdel 1 "Elected much more influential" 2 "Elected slightly more influential" 3 "About the same" 4 "Appointed slightly more influential" 5 "Appointed much more influential"
{txt}
{com}.         lab val mostinf_servdel mostinf_servdel
{txt}
{com}.         
.         fre mostinf_servdel
{res}
{txt}mostinf_servdel {hline 2} More influential in determining quality of service
{txt}{hline 41}{hline 1}{c TT}{hline 44}
{txt}        {txt}                                  {c |}      Freq.    Percent      Valid       Cum.
{txt}{hline 41}{hline 1}{c +}{hline 44}
{txt}Valid   1 Elected much more influential   {c |}{res}          5       8.20      55.56      55.56
{txt}        3 About the same                  {c |}{res}          1       1.64      11.11      66.67
{txt}        5 Appointed much more influential {c |}{res}          3       4.92      33.33     100.00
{txt}        Total                             {c |}{res}          9      14.75     100.00           
{txt}Missing .                                 {c |}{res}         52      85.25                      
{txt}Total                                     {c |}{res}         61     100.00                      
{txt}{hline 41}{hline 1}{c BT}{hline 44}

{com}.         
.         gen test_mostinf_servdel = (mostinf_servdel != .)
{txt}
{com}.         replace test_mostinf_servdel = . if asked_survey == 0 
{txt}(37 real changes made, 37 to missing)

{com}.         replace test_mostinf_servdel = . if (inlist(aptpol_d,0,-98) | elecpol_ovrsee == 0)
{txt}(15 real changes made, 15 to missing)

{com}.         fre test_mostinf_servdel
{res}
{txt}test_mostinf_servdel
{txt}{hline 9}{hline 1}{c TT}{hline 44}
{txt}        {txt}  {c |}      Freq.    Percent      Valid       Cum.
{txt}{hline 9}{hline 1}{c +}{hline 44}
{txt}Valid   1 {c |}{res}          9      14.75     100.00     100.00
{txt}Missing . {c |}{res}         52      85.25                      
{txt}Total     {c |}{res}         61     100.00                      
{txt}{hline 9}{hline 1}{c BT}{hline 44}

{com}.         assert inlist(test_mostinf_servdel,.,1)
{txt}
{com}.         
.         drop test_mostinf_servdel
{txt}
{com}.         
.         * educ_elecpolbur
.         
.         lab var educ_elecpolbur "More educated bureaucrat or politician (elec. politician)"
{txt}
{com}.         
.         fre educ_elecpolbur
{res}
{txt}educ_elecpolbur {hline 2} More educated bureaucrat or politician (elec. politician)
{txt}{hline 55}{hline 1}{c TT}{hline 44}
{txt}        {txt}                                                {c |}      Freq.    Percent      Valid       Cum.
{txt}{hline 55}{hline 1}{c +}{hline 44}
{txt}Valid   About the same level of education               {c |}{res}          4       6.56      17.39      17.39
{txt}        Bureaucrats much more educated than Politicians {c |}{res}         13      21.31      56.52      73.91
{txt}        Bureaucrats slightly more educated than         {c |}{res}          6       9.84      26.09     100.00
{txt}        Politicians                                     {c |}{res}                                            
{txt}        Total                                           {c |}{res}         23      37.70     100.00           
{txt}Missing                                                 {c |}{res}         38      62.30                      
{txt}Total                                                   {c |}{res}         61     100.00                      
{txt}{hline 55}{hline 1}{c BT}{hline 44}

{com}.         
.         replace educ_elecpolbur = "1" if regexm(educ_elecpolbur,"Bureaucrats much more educated")
{txt}(13 real changes made)

{com}.         replace educ_elecpolbur = "2" if regexm(educ_elecpolbur,"Bureaucrats slightly more educated")
{txt}(6 real changes made)

{com}.         replace educ_elecpolbur = "3" if regexm(educ_elecpolbur,"About the same")
{txt}(4 real changes made)

{com}.         replace educ_elecpolbur = "4" if regexm(educ_elecpolbur,"Politicians slightly more educated")
{txt}(0 real changes made)

{com}.         replace educ_elecpolbur = "5" if regexm(educ_elecpolbur,"Politicians much more educated")
{txt}(0 real changes made)

{com}.         destring educ_elecpolbur, replace
{txt}educ_elecpolbur: all characters numeric; {res}replaced {txt}as {res}byte
{txt}(38 missing values generated)
{res}{txt}
{com}.         lab def educ_elecpolbur 1 "Bureaucrats much more educated" 2 "Bureaucrats slightly more educated" 3 "About the same" 4 "Politicians slightly more educated" 5 "Politicians much more educated"
{txt}
{com}.         lab val educ_elecpolbur educ_elecpolbur
{txt}
{com}.         
.         fre educ_elecpolbur
{res}
{txt}educ_elecpolbur {hline 2} More educated bureaucrat or politician (elec. politician)
{txt}{hline 44}{hline 1}{c TT}{hline 44}
{txt}        {txt}                                     {c |}      Freq.    Percent      Valid       Cum.
{txt}{hline 44}{hline 1}{c +}{hline 44}
{txt}Valid   1 Bureaucrats much more educated     {c |}{res}         13      21.31      56.52      56.52
{txt}        2 Bureaucrats slightly more educated {c |}{res}          6       9.84      26.09      82.61
{txt}        3 About the same                     {c |}{res}          4       6.56      17.39     100.00
{txt}        Total                                {c |}{res}         23      37.70     100.00           
{txt}Missing .                                    {c |}{res}         38      62.30                      
{txt}Total                                        {c |}{res}         61     100.00                      
{txt}{hline 44}{hline 1}{c BT}{hline 44}

{com}.         
.         gen test_educ_elecpolbur = (educ_elecpolbur != .)
{txt}
{com}.         replace test_educ_elecpolbur = . if asked_survey == 0 
{txt}(37 real changes made, 37 to missing)

{com}.         replace test_educ_elecpolbur = . if elecpol_ovrsee == 0
{txt}(1 real change made, 1 to missing)

{com}.         fre test_educ_elecpolbur
{res}
{txt}test_educ_elecpolbur
{txt}{hline 9}{hline 1}{c TT}{hline 44}
{txt}        {txt}  {c |}      Freq.    Percent      Valid       Cum.
{txt}{hline 9}{hline 1}{c +}{hline 44}
{txt}Valid   1 {c |}{res}         23      37.70     100.00     100.00
{txt}Missing . {c |}{res}         38      62.30                      
{txt}Total     {c |}{res}         61     100.00                      
{txt}{hline 9}{hline 1}{c BT}{hline 44}

{com}.         assert inlist(test_educ_elecpolbur,.,1)
{txt}
{com}.         
.         drop test_educ_elecpolbur
{txt}
{com}.         
.         * educ_apolbur
.         
.         lab var educ_apolbur "More educated bureaucrat or politician (app. politician) "
{txt}
{com}.         
.         fre educ_apolbur
{res}
{txt}educ_apolbur {hline 2} More educated bureaucrat or politician (app. politician) 
{txt}{hline 8}{hline 1}{c TT}{hline 44}
{txt}        {txt} {c |}      Freq.    Percent      Valid       Cum.
{txt}{hline 8}{hline 1}{c +}{hline 44}
{txt}Missing  {c |}{res}         61     100.00                      
{txt}{hline 8}{hline 1}{c BT}{hline 44}

{com}.         
.         replace educ_apolbur = "1" if regexm(educ_apolbur,"Bureaucrats much more educated")
{txt}(0 real changes made)

{com}.         replace educ_apolbur = "2" if regexm(educ_apolbur,"Bureaucrats slightly more educated")
{txt}(0 real changes made)

{com}.         replace educ_apolbur = "3" if regexm(educ_apolbur,"About the same")
{txt}(0 real changes made)

{com}.         replace educ_apolbur = "4" if regexm(educ_apolbur,"Politicians slightly more educated")
{txt}(0 real changes made)

{com}.         replace educ_apolbur = "5" if regexm(educ_apolbur,"Politicians much more educated")
{txt}(0 real changes made)

{com}.         destring educ_apolbur, replace
{txt}educ_apolbur: all characters numeric; {res}replaced {txt}as {res}byte
{txt}(61 missing values generated)
{res}{txt}
{com}.         lab def educ_apolbur 1 "Bureaucrats much more educated" 2 "Bureaucrats slightly more educated" 3 "About the same" 4 "Politicians slightly more educated" 5 "Politicians much more educated"
{txt}
{com}.         lab val educ_apolbur educ_apolbur
{txt}
{com}.         
.         fre educ_apolbur
{res}
{txt}educ_apolbur {hline 2} More educated bureaucrat or politician (app. politician) 
{txt}{hline 13}{hline 1}{c TT}{hline 44}
{txt}        {txt}      {c |}      Freq.    Percent      Valid       Cum.
{txt}{hline 13}{hline 1}{c +}{hline 44}
{txt}Missing .     {c |}{res}         61     100.00                      
{txt}{hline 13}{hline 1}{c BT}{hline 44}

{com}.         
.         gen test_educ_apolbur = (educ_apolbur != .)
{txt}
{com}.         replace test_educ_apolbur = . if asked_survey == 0
{txt}(37 real changes made, 37 to missing)

{com}.         replace test_educ_apolbur = . if aptpol_d == 0
{txt}(14 real changes made, 14 to missing)

{com}.         replace test_educ_apolbur = . if elecpol_ovrsee == 1 
{txt}(10 real changes made, 10 to missing)

{com}.         fre test_educ_apolbur
{res}
{txt}test_educ_apolbur
{txt}{hline 9}{hline 1}{c TT}{hline 44}
{txt}        {txt}  {c |}      Freq.    Percent      Valid       Cum.
{txt}{hline 9}{hline 1}{c +}{hline 44}
{txt}Missing . {c |}{res}         61     100.00                      
{txt}{hline 9}{hline 1}{c BT}{hline 44}

{com}.         assert inlist(test_educ_apolbur,.,1)
{txt}
{com}.         
.         drop test_educ_apolbur
{txt}
{com}.         
.         * slry_elecpolbur
.         
.         lab var slry_elecpolbur "Earning more bureaucrat or politician (elec. politician)"
{txt}
{com}.         
.         fre slry_elecpolbur
{res}
{txt}slry_elecpolbur {hline 2} Earning more bureaucrat or politician (elec. politician)
{txt}{hline 55}{hline 1}{c TT}{hline 44}
{txt}        {txt}                                                {c |}      Freq.    Percent      Valid       Cum.
{txt}{hline 55}{hline 1}{c +}{hline 44}
{txt}Valid   Both earn about the same                        {c |}{res}          4       6.56      17.39      17.39
{txt}        Bureaucrats earn much more than Politicians     {c |}{res}          5       8.20      21.74      39.13
{txt}        Bureaucrats earn slightly more than Politicians {c |}{res}          3       4.92      13.04      52.17
{txt}        Politicians earn much more than Bureaucrats     {c |}{res}          6       9.84      26.09      78.26
{txt}        Politicians earn slightly more than Bureaucrats {c |}{res}          5       8.20      21.74     100.00
{txt}        Total                                           {c |}{res}         23      37.70     100.00           
{txt}Missing                                                 {c |}{res}         38      62.30                      
{txt}Total                                                   {c |}{res}         61     100.00                      
{txt}{hline 55}{hline 1}{c BT}{hline 44}

{com}.         
.         replace slry_elecpolbur = "1" if regexm(slry_elecpolbur,"Bureaucrats earn much")
{txt}(5 real changes made)

{com}.         replace slry_elecpolbur = "2" if regexm(slry_elecpolbur,"Bureaucrats earn slightly")
{txt}(3 real changes made)

{com}.         replace slry_elecpolbur = "3" if regexm(slry_elecpolbur,"Both earn")
{txt}(4 real changes made)

{com}.         replace slry_elecpolbur = "4" if regexm(slry_elecpolbur,"Politicians earn slightly")
{txt}(5 real changes made)

{com}.         replace slry_elecpolbur = "5" if regexm(slry_elecpolbur,"Politicians earn much")
{txt}(6 real changes made)

{com}.         destring slry_elecpolbur, replace
{txt}slry_elecpolbur: all characters numeric; {res}replaced {txt}as {res}byte
{txt}(38 missing values generated)
{res}{txt}
{com}.         lab def slry_elecpolbur 1 "Bureaucrats earn much more" 2 "Bureaucrats earn slightly more" 3 "Both earn the same" 4 "Politicians earn slightly" 5 "Politicians earn much more"
{txt}
{com}.         lab val slry_elecpolbur slry_elecpolbur
{txt}
{com}.         
.         fre slry_elecpolbur
{res}
{txt}slry_elecpolbur {hline 2} Earning more bureaucrat or politician (elec. politician)
{txt}{hline 40}{hline 1}{c TT}{hline 44}
{txt}        {txt}                                 {c |}      Freq.    Percent      Valid       Cum.
{txt}{hline 40}{hline 1}{c +}{hline 44}
{txt}Valid   1 Bureaucrats earn much more     {c |}{res}          5       8.20      21.74      21.74
{txt}        2 Bureaucrats earn slightly more {c |}{res}          3       4.92      13.04      34.78
{txt}        3 Both earn the same             {c |}{res}          4       6.56      17.39      52.17
{txt}        4 Politicians earn slightly      {c |}{res}          5       8.20      21.74      73.91
{txt}        5 Politicians earn much more     {c |}{res}          6       9.84      26.09     100.00
{txt}        Total                            {c |}{res}         23      37.70     100.00           
{txt}Missing .                                {c |}{res}         38      62.30                      
{txt}Total                                    {c |}{res}         61     100.00                      
{txt}{hline 40}{hline 1}{c BT}{hline 44}

{com}.         
.         gen test_slry_elecpolbur = (slry_elecpolbur != .)
{txt}
{com}.         replace test_slry_elecpolbur = . if asked_survey == 0 
{txt}(37 real changes made, 37 to missing)

{com}.         replace test_slry_elecpolbur = . if elecpol_ovrsee == 0
{txt}(1 real change made, 1 to missing)

{com}.         fre test_slry_elecpolbur
{res}
{txt}test_slry_elecpolbur
{txt}{hline 9}{hline 1}{c TT}{hline 44}
{txt}        {txt}  {c |}      Freq.    Percent      Valid       Cum.
{txt}{hline 9}{hline 1}{c +}{hline 44}
{txt}Valid   1 {c |}{res}         23      37.70     100.00     100.00
{txt}Missing . {c |}{res}         38      62.30                      
{txt}Total     {c |}{res}         61     100.00                      
{txt}{hline 9}{hline 1}{c BT}{hline 44}

{com}.         assert inlist(test_slry_elecpolbur,.,1)
{txt}
{com}.         
.         drop test_slry_elecpolbur
{txt}
{com}.         
.         * slry_apolbur
.         
.         lab var slry_apolbur "Earning more bureaucrat or politician (app. politician)"
{txt}
{com}.         
.         fre slry_apolbur
{res}
{txt}slry_apolbur {hline 2} Earning more bureaucrat or politician (app. politician)
{txt}{hline 8}{hline 1}{c TT}{hline 44}
{txt}        {txt} {c |}      Freq.    Percent      Valid       Cum.
{txt}{hline 8}{hline 1}{c +}{hline 44}
{txt}Missing  {c |}{res}         61     100.00                      
{txt}{hline 8}{hline 1}{c BT}{hline 44}

{com}.         
.         replace slry_apolbur = "1" if regexm(slry_apolbur,"Bureaucrats earn much")
{txt}(0 real changes made)

{com}.         replace slry_apolbur = "2" if regexm(slry_apolbur,"Bureaucrats earn slightly")
{txt}(0 real changes made)

{com}.         replace slry_apolbur = "3" if regexm(slry_apolbur,"Both earn")
{txt}(0 real changes made)

{com}.         replace slry_apolbur = "4" if regexm(slry_apolbur,"Politicians earn slightly")
{txt}(0 real changes made)

{com}.         replace slry_apolbur = "5" if regexm(slry_apolbur,"Politicians earn much")
{txt}(0 real changes made)

{com}.         destring slry_apolbur, replace
{txt}slry_apolbur: all characters numeric; {res}replaced {txt}as {res}byte
{txt}(61 missing values generated)
{res}{txt}
{com}.         lab def slry_apolbur 1 "Bureaucrats earn much more" 2 "Bureaucrats earn slightly more" 3 "Both earn the same" 4 "Politicians earn slightly" 5 "Politicians earn much more"
{txt}
{com}.         lab val slry_apolbur slry_apolbur
{txt}
{com}.         
.         fre slry_apolbur
{res}
{txt}slry_apolbur {hline 2} Earning more bureaucrat or politician (app. politician)
{txt}{hline 13}{hline 1}{c TT}{hline 44}
{txt}        {txt}      {c |}      Freq.    Percent      Valid       Cum.
{txt}{hline 13}{hline 1}{c +}{hline 44}
{txt}Missing .     {c |}{res}         61     100.00                      
{txt}{hline 13}{hline 1}{c BT}{hline 44}

{com}.         
.         gen test_slry_apolbur = (slry_apolbur != .)
{txt}
{com}.         replace test_slry_apolbur = . if asked_survey == 0
{txt}(37 real changes made, 37 to missing)

{com}.         replace test_slry_apolbur = . if aptpol_d == 0
{txt}(14 real changes made, 14 to missing)

{com}.         replace test_slry_apolbur = . if elecpol_ovrsee == 1 
{txt}(10 real changes made, 10 to missing)

{com}.         fre test_slry_apolbur
{res}
{txt}test_slry_apolbur
{txt}{hline 9}{hline 1}{c TT}{hline 44}
{txt}        {txt}  {c |}      Freq.    Percent      Valid       Cum.
{txt}{hline 9}{hline 1}{c +}{hline 44}
{txt}Missing . {c |}{res}         61     100.00                      
{txt}{hline 9}{hline 1}{c BT}{hline 44}

{com}.         assert inlist(test_slry_apolbur,.,1)
{txt}
{com}.         
.         drop test_slry_apolbur
{txt}
{com}.         
.         * We merge the payment module
.         
.         merge m:1 responseid using "`payment_module'"
{res}
{txt}{col 5}Result{col 38}# of obs.
{col 5}{hline 41}
{col 5}not matched{col 30}{res}               0
{txt}{col 5}matched{col 30}{res}              61{txt}  (_merge==3)
{col 5}{hline 41}

{com}.         drop _merge
{txt}
{com}.         order donate_d org_donation_id paid_status, after(duration_minutes)
{txt}
{com}.         
.         * fdout_epol_bgt
.         
.         lab var fdout_epol_bgt "Easy to find out about envelop (elec. politician)"
{txt}
{com}.         
.         fre fdout_epol_bgt
{res}
{txt}fdout_epol_bgt {hline 2} Easy to find out about envelop (elec. politician)
{txt}{hline 26}{hline 1}{c TT}{hline 44}
{txt}        {txt}                   {c |}      Freq.    Percent      Valid       Cum.
{txt}{hline 26}{hline 1}{c +}{hline 44}
{txt}Valid   Somewhat difficult {c |}{res}          3       4.92      13.04      13.04
{txt}        Somewhat easy      {c |}{res}          6       9.84      26.09      39.13
{txt}        Very easy          {c |}{res}         14      22.95      60.87     100.00
{txt}        Total              {c |}{res}         23      37.70     100.00           
{txt}Missing                    {c |}{res}         38      62.30                      
{txt}Total                      {c |}{res}         61     100.00                      
{txt}{hline 26}{hline 1}{c BT}{hline 44}

{com}.         
.         replace fdout_epol_bgt = "1" if regexm(fdout_epol_bgt,"Very easy")
{txt}(14 real changes made)

{com}.         replace fdout_epol_bgt = "2" if regexm(fdout_epol_bgt,"Somewhat easy")
{txt}(6 real changes made)

{com}.         replace fdout_epol_bgt = "3" if regexm(fdout_epol_bgt,"Somewhat difficult")
{txt}(3 real changes made)

{com}.         replace fdout_epol_bgt = "4" if regexm(fdout_epol_bgt,"Very difficult")
{txt}(0 real changes made)

{com}.         replace fdout_epol_bgt = "5" if regexm(fdout_epol_bgt,"Not applicable")
{txt}(0 real changes made)

{com}.         replace fdout_epol_bgt = "6" if regexm(fdout_epol_bgt,"Do not know")
{txt}(0 real changes made)

{com}.         
.         destring fdout_epol_bgt, replace
{txt}fdout_epol_bgt: all characters numeric; {res}replaced {txt}as {res}byte
{txt}(38 missing values generated)
{res}{txt}
{com}.         lab def fdout_epol_bgt 1 "Very easy" 2 "Somewhat easy" 3 "Somewhat difficult" 4 "Very difficult" 5 "Not applicable, this level of government has no spending power" 6 "Do not know / Refuse to answer"
{txt}
{com}.         lab val fdout_epol_bgt fdout_epol_bgt
{txt}
{com}.         
.         fre fdout_epol_bgt
{res}
{txt}fdout_epol_bgt {hline 2} Easy to find out about envelop (elec. politician)
{txt}{hline 28}{hline 1}{c TT}{hline 44}
{txt}        {txt}                     {c |}      Freq.    Percent      Valid       Cum.
{txt}{hline 28}{hline 1}{c +}{hline 44}
{txt}Valid   1 Very easy          {c |}{res}         14      22.95      60.87      60.87
{txt}        2 Somewhat easy      {c |}{res}          6       9.84      26.09      86.96
{txt}        3 Somewhat difficult {c |}{res}          3       4.92      13.04     100.00
{txt}        Total                {c |}{res}         23      37.70     100.00           
{txt}Missing .                    {c |}{res}         38      62.30                      
{txt}Total                        {c |}{res}         61     100.00                      
{txt}{hline 28}{hline 1}{c BT}{hline 44}

{com}.         
.         gen test_fdout_epol_bgt = (fdout_epol_bgt != .)
{txt}
{com}.         replace test_fdout_epol_bgt = . if asked_survey == 0 
{txt}(37 real changes made, 37 to missing)

{com}.         replace test_fdout_epol_bgt = . if elecpol_ovrsee == 0
{txt}(1 real change made, 1 to missing)

{com}.         fre test_fdout_epol_bgt
{res}
{txt}test_fdout_epol_bgt
{txt}{hline 9}{hline 1}{c TT}{hline 44}
{txt}        {txt}  {c |}      Freq.    Percent      Valid       Cum.
{txt}{hline 9}{hline 1}{c +}{hline 44}
{txt}Valid   1 {c |}{res}         23      37.70     100.00     100.00
{txt}Missing . {c |}{res}         38      62.30                      
{txt}Total     {c |}{res}         61     100.00                      
{txt}{hline 9}{hline 1}{c BT}{hline 44}

{com}.         assert inlist(test_fdout_epol_bgt,.,1)
{txt}
{com}.         
.         drop test_fdout_epol_bgt
{txt}
{com}.         
.         * fdout_apol_bgt
.         
.         lab var fdout_apol_bgt "Easy to find out about envelop (app. politician)"
{txt}
{com}.         
.         fre fdout_apol_bgt
{res}
{txt}fdout_apol_bgt {hline 2} Easy to find out about envelop (app. politician)
{txt}{hline 8}{hline 1}{c TT}{hline 44}
{txt}        {txt} {c |}      Freq.    Percent      Valid       Cum.
{txt}{hline 8}{hline 1}{c +}{hline 44}
{txt}Missing  {c |}{res}         61     100.00                      
{txt}{hline 8}{hline 1}{c BT}{hline 44}

{com}.         
.         replace fdout_apol_bgt = "1" if regexm(fdout_apol_bgt,"Very easy")
{txt}(0 real changes made)

{com}.         replace fdout_apol_bgt = "2" if regexm(fdout_apol_bgt,"Somewhat easy")
{txt}(0 real changes made)

{com}.         replace fdout_apol_bgt = "3" if regexm(fdout_apol_bgt,"Somewhat difficult")
{txt}(0 real changes made)

{com}.         replace fdout_apol_bgt = "4" if regexm(fdout_apol_bgt,"Very difficult")
{txt}(0 real changes made)

{com}.         replace fdout_apol_bgt = "5" if regexm(fdout_apol_bgt,"Not applicable")
{txt}(0 real changes made)

{com}.         replace fdout_apol_bgt = "6" if regexm(fdout_apol_bgt,"Do not know")
{txt}(0 real changes made)

{com}.         
.         destring fdout_apol_bgt, replace
{txt}fdout_apol_bgt: all characters numeric; {res}replaced {txt}as {res}byte
{txt}(61 missing values generated)
{res}{txt}
{com}.         lab def fdout_apol_bgt 1 "Very easy" 2 "Somewhat easy" 3 "Somewhat difficult" 4 "Very difficult" 5 "Not applicable, this level of government has no spending power" 6 "Do not know / Refuse to answer"
{txt}
{com}.         lab val fdout_apol_bgt fdout_apol_bgt
{txt}
{com}.         
.         fre fdout_apol_bgt
{res}
{txt}fdout_apol_bgt {hline 2} Easy to find out about envelop (app. politician)
{txt}{hline 13}{hline 1}{c TT}{hline 44}
{txt}        {txt}      {c |}      Freq.    Percent      Valid       Cum.
{txt}{hline 13}{hline 1}{c +}{hline 44}
{txt}Missing .     {c |}{res}         61     100.00                      
{txt}{hline 13}{hline 1}{c BT}{hline 44}

{com}.         
.         gen test_fdout_apol_bgt = (fdout_apol_bgt != .)
{txt}
{com}.         replace test_fdout_apol_bgt = . if asked_survey == 0
{txt}(37 real changes made, 37 to missing)

{com}.         replace test_fdout_apol_bgt = . if aptpol_d == 0
{txt}(14 real changes made, 14 to missing)

{com}.         replace test_fdout_apol_bgt = . if elecpol_ovrsee == 1 
{txt}(10 real changes made, 10 to missing)

{com}.         fre test_fdout_apol_bgt
{res}
{txt}test_fdout_apol_bgt
{txt}{hline 9}{hline 1}{c TT}{hline 44}
{txt}        {txt}  {c |}      Freq.    Percent      Valid       Cum.
{txt}{hline 9}{hline 1}{c +}{hline 44}
{txt}Missing . {c |}{res}         61     100.00                      
{txt}{hline 9}{hline 1}{c BT}{hline 44}

{com}.         assert inlist(test_fdout_apol_bgt,.,1)
{txt}
{com}.         
.         drop test_fdout_apol_bgt
{txt}
{com}.         
.         * budsect_epol
.         
.         lab var budsect_epol "Find about budget allocation to sectors (elec. politician)"
{txt}
{com}.         
.         fre budsect_epol
{res}
{txt}budsect_epol {hline 2} Find about budget allocation to sectors (elec. politician)
{txt}{hline 26}{hline 1}{c TT}{hline 44}
{txt}        {txt}                   {c |}      Freq.    Percent      Valid       Cum.
{txt}{hline 26}{hline 1}{c +}{hline 44}
{txt}Valid   Somewhat difficult {c |}{res}          2       3.28       8.70       8.70
{txt}        Somewhat easy      {c |}{res}          4       6.56      17.39      26.09
{txt}        Very difficult     {c |}{res}          1       1.64       4.35      30.43
{txt}        Very easy          {c |}{res}          9      14.75      39.13      69.57
{txt}        Somewhat easy      {c |}{res}          1       1.64       4.35      73.91
{txt}        Very easy          {c |}{res}          6       9.84      26.09     100.00
{txt}        Total              {c |}{res}         23      37.70     100.00           
{txt}Missing                    {c |}{res}         38      62.30                      
{txt}Total                      {c |}{res}         61     100.00                      
{txt}{hline 26}{hline 1}{c BT}{hline 44}

{com}.         
.         replace budsect_epol = "1" if regexm(budsect_epol,"Very easy")
{txt}(15 real changes made)

{com}.         replace budsect_epol = "2" if regexm(budsect_epol,"Somewhat easy")
{txt}(5 real changes made)

{com}.         replace budsect_epol = "3" if regexm(budsect_epol,"Somewhat difficult")
{txt}(2 real changes made)

{com}.         replace budsect_epol = "4" if regexm(budsect_epol,"Very difficult")
{txt}(1 real change made)

{com}.         replace budsect_epol = "5" if regexm(budsect_epol,"Not applicable")
{txt}(0 real changes made)

{com}.         replace budsect_epol = "6" if regexm(budsect_epol,"Do not know")
{txt}(0 real changes made)

{com}.         
.         destring budsect_epol, replace
{txt}budsect_epol: all characters numeric; {res}replaced {txt}as {res}byte
{txt}(38 missing values generated)
{res}{txt}
{com}.         lab def budsect_epol 1 "Very easy" 2 "Somewhat easy" 3 "Somewhat difficult" 4 "Very difficult" 5 "Not applicable, this level of government has no spending power" 6 "Do not know / Refuse to answer"
{txt}
{com}.         lab val budsect_epol budsect_epol
{txt}
{com}.         
.         fre budsect_epol
{res}
{txt}budsect_epol {hline 2} Find about budget allocation to sectors (elec. politician)
{txt}{hline 28}{hline 1}{c TT}{hline 44}
{txt}        {txt}                     {c |}      Freq.    Percent      Valid       Cum.
{txt}{hline 28}{hline 1}{c +}{hline 44}
{txt}Valid   1 Very easy          {c |}{res}         15      24.59      65.22      65.22
{txt}        2 Somewhat easy      {c |}{res}          5       8.20      21.74      86.96
{txt}        3 Somewhat difficult {c |}{res}          2       3.28       8.70      95.65
{txt}        4 Very difficult     {c |}{res}          1       1.64       4.35     100.00
{txt}        Total                {c |}{res}         23      37.70     100.00           
{txt}Missing .                    {c |}{res}         38      62.30                      
{txt}Total                        {c |}{res}         61     100.00                      
{txt}{hline 28}{hline 1}{c BT}{hline 44}

{com}.         
.         gen test_budsect_epol = (budsect_epol != .)
{txt}
{com}.         replace test_budsect_epol = . if asked_survey == 0 
{txt}(37 real changes made, 37 to missing)

{com}.         replace test_budsect_epol = . if elecpol_ovrsee == 0
{txt}(1 real change made, 1 to missing)

{com}.         fre test_budsect_epol
{res}
{txt}test_budsect_epol
{txt}{hline 9}{hline 1}{c TT}{hline 44}
{txt}        {txt}  {c |}      Freq.    Percent      Valid       Cum.
{txt}{hline 9}{hline 1}{c +}{hline 44}
{txt}Valid   1 {c |}{res}         23      37.70     100.00     100.00
{txt}Missing . {c |}{res}         38      62.30                      
{txt}Total     {c |}{res}         61     100.00                      
{txt}{hline 9}{hline 1}{c BT}{hline 44}

{com}.         assert inlist(test_budsect_epol,.,1)
{txt}
{com}.         
.         drop test_budsect_epol
{txt}
{com}.         
.         * budsect_apol
.         
.         lab var budsect_apol "Find about budget allocation to sectors (app. politician)"
{txt}
{com}.         
.         fre budsect_apol
{res}
{txt}budsect_apol {hline 2} Find about budget allocation to sectors (app. politician)
{txt}{hline 8}{hline 1}{c TT}{hline 44}
{txt}        {txt} {c |}      Freq.    Percent      Valid       Cum.
{txt}{hline 8}{hline 1}{c +}{hline 44}
{txt}Missing  {c |}{res}         61     100.00                      
{txt}{hline 8}{hline 1}{c BT}{hline 44}

{com}.         
.         replace budsect_apol = "1" if regexm(budsect_apol,"Very easy")
{txt}(0 real changes made)

{com}.         replace budsect_apol = "2" if regexm(budsect_apol,"Somewhat easy")
{txt}(0 real changes made)

{com}.         replace budsect_apol = "3" if regexm(budsect_apol,"Somewhat difficult")
{txt}(0 real changes made)

{com}.         replace budsect_apol = "4" if regexm(budsect_apol,"Very difficult")
{txt}(0 real changes made)

{com}.         replace budsect_apol = "5" if regexm(budsect_apol,"Not applicable")
{txt}(0 real changes made)

{com}.         replace budsect_apol = "6" if regexm(budsect_apol,"Do not know")
{txt}(0 real changes made)

{com}.         
.         destring budsect_apol, replace
{txt}budsect_apol: all characters numeric; {res}replaced {txt}as {res}byte
{txt}(61 missing values generated)
{res}{txt}
{com}.         lab def budsect_apol 1 "Very easy" 2 "Somewhat easy" 3 "Somewhat difficult" 4 "Very difficult" 5 "Not applicable, this level of government has no spending power" 6 "Do not know / Refuse to answer"
{txt}
{com}.         lab val budsect_apol budsect_apol
{txt}
{com}.         
.         fre budsect_apol
{res}
{txt}budsect_apol {hline 2} Find about budget allocation to sectors (app. politician)
{txt}{hline 13}{hline 1}{c TT}{hline 44}
{txt}        {txt}      {c |}      Freq.    Percent      Valid       Cum.
{txt}{hline 13}{hline 1}{c +}{hline 44}
{txt}Missing .     {c |}{res}         61     100.00                      
{txt}{hline 13}{hline 1}{c BT}{hline 44}

{com}.         
.         gen test_budsect_apol = (budsect_apol != .)
{txt}
{com}.         replace test_budsect_apol = . if asked_survey == 0
{txt}(37 real changes made, 37 to missing)

{com}.         replace test_budsect_apol = . if aptpol_d == 0
{txt}(14 real changes made, 14 to missing)

{com}.         replace test_budsect_apol = . if elecpol_ovrsee == 1 
{txt}(10 real changes made, 10 to missing)

{com}.         fre test_budsect_apol
{res}
{txt}test_budsect_apol
{txt}{hline 9}{hline 1}{c TT}{hline 44}
{txt}        {txt}  {c |}      Freq.    Percent      Valid       Cum.
{txt}{hline 9}{hline 1}{c +}{hline 44}
{txt}Missing . {c |}{res}         61     100.00                      
{txt}{hline 9}{hline 1}{c BT}{hline 44}

{com}.         assert inlist(test_budsect_apol,.,1)
{txt}
{com}.         
.         drop test_budsect_apol
{txt}
{com}.         
.         * acinfexp_epol
.         
.         lab var acinfexp_epol "Obtain detailed info about expenditures (elec. politician)"
{txt}
{com}.         
.         fre acinfexp_epol
{res}
{txt}acinfexp_epol {hline 2} Obtain detailed info about expenditures (elec. politician)
{txt}{hline 26}{hline 1}{c TT}{hline 44}
{txt}        {txt}                   {c |}      Freq.    Percent      Valid       Cum.
{txt}{hline 26}{hline 1}{c +}{hline 44}
{txt}Valid   Somewhat difficult {c |}{res}          5       8.20      21.74      21.74
{txt}        Somewhat easy      {c |}{res}          3       4.92      13.04      34.78
{txt}        Very difficult     {c |}{res}          1       1.64       4.35      39.13
{txt}        Very easy          {c |}{res}         14      22.95      60.87     100.00
{txt}        Total              {c |}{res}         23      37.70     100.00           
{txt}Missing                    {c |}{res}         38      62.30                      
{txt}Total                      {c |}{res}         61     100.00                      
{txt}{hline 26}{hline 1}{c BT}{hline 44}

{com}.         
.         replace acinfexp_epol = "1" if regexm(acinfexp_epol,"Very easy")
{txt}(14 real changes made)

{com}.         replace acinfexp_epol = "2" if regexm(acinfexp_epol,"Somewhat easy")
{txt}(3 real changes made)

{com}.         replace acinfexp_epol = "3" if regexm(acinfexp_epol,"Somewhat difficult")
{txt}(5 real changes made)

{com}.         replace acinfexp_epol = "4" if regexm(acinfexp_epol,"Very difficult")
{txt}(1 real change made)

{com}.         replace acinfexp_epol = "5" if regexm(acinfexp_epol,"Not applicable")
{txt}(0 real changes made)

{com}.         replace acinfexp_epol = "6" if regexm(acinfexp_epol,"Do not know")
{txt}(0 real changes made)

{com}.         
.         destring acinfexp_epol, replace
{txt}acinfexp_epol: all characters numeric; {res}replaced {txt}as {res}byte
{txt}(38 missing values generated)
{res}{txt}
{com}.         lab def acinfexp_epol 1 "Very easy" 2 "Somewhat easy" 3 "Somewhat difficult" 4 "Very difficult" 5 "Not applicable, this level of government has no spending power" 6 "Do not know / Refuse to answer"
{txt}
{com}.         lab val acinfexp_epol acinfexp_epol
{txt}
{com}.         
.         fre acinfexp_epol
{res}
{txt}acinfexp_epol {hline 2} Obtain detailed info about expenditures (elec. politician)
{txt}{hline 28}{hline 1}{c TT}{hline 44}
{txt}        {txt}                     {c |}      Freq.    Percent      Valid       Cum.
{txt}{hline 28}{hline 1}{c +}{hline 44}
{txt}Valid   1 Very easy          {c |}{res}         14      22.95      60.87      60.87
{txt}        2 Somewhat easy      {c |}{res}          3       4.92      13.04      73.91
{txt}        3 Somewhat difficult {c |}{res}          5       8.20      21.74      95.65
{txt}        4 Very difficult     {c |}{res}          1       1.64       4.35     100.00
{txt}        Total                {c |}{res}         23      37.70     100.00           
{txt}Missing .                    {c |}{res}         38      62.30                      
{txt}Total                        {c |}{res}         61     100.00                      
{txt}{hline 28}{hline 1}{c BT}{hline 44}

{com}.         
.         gen test_acinfexp_epol = (acinfexp_epol != .)
{txt}
{com}.         replace test_acinfexp_epol = . if asked_survey == 0 
{txt}(37 real changes made, 37 to missing)

{com}.         replace test_acinfexp_epol = . if elecpol_ovrsee == 0
{txt}(1 real change made, 1 to missing)

{com}.         fre test_acinfexp_epol
{res}
{txt}test_acinfexp_epol
{txt}{hline 9}{hline 1}{c TT}{hline 44}
{txt}        {txt}  {c |}      Freq.    Percent      Valid       Cum.
{txt}{hline 9}{hline 1}{c +}{hline 44}
{txt}Valid   1 {c |}{res}         23      37.70     100.00     100.00
{txt}Missing . {c |}{res}         38      62.30                      
{txt}Total     {c |}{res}         61     100.00                      
{txt}{hline 9}{hline 1}{c BT}{hline 44}

{com}.         assert inlist(test_acinfexp_epol,.,1)
{txt}
{com}.         
.         drop test_acinfexp_epol
{txt}
{com}.         
.         * acinfexp_apol
.         
.         lab var acinfexp_apol "Obtain detailed info about expenditures (app. politician)"
{txt}
{com}.         
.         fre acinfexp_apol
{res}
{txt}acinfexp_apol {hline 2} Obtain detailed info about expenditures (app. politician)
{txt}{hline 8}{hline 1}{c TT}{hline 44}
{txt}        {txt} {c |}      Freq.    Percent      Valid       Cum.
{txt}{hline 8}{hline 1}{c +}{hline 44}
{txt}Missing  {c |}{res}         61     100.00                      
{txt}{hline 8}{hline 1}{c BT}{hline 44}

{com}.         
.         replace acinfexp_apol = "1" if regexm(acinfexp_apol,"Very easy")
{txt}(0 real changes made)

{com}.         replace acinfexp_apol = "2" if regexm(acinfexp_apol,"Somewhat easy")
{txt}(0 real changes made)

{com}.         replace acinfexp_apol = "3" if regexm(acinfexp_apol,"Somewhat difficult")
{txt}(0 real changes made)

{com}.         replace acinfexp_apol = "4" if regexm(acinfexp_apol,"Very difficult")
{txt}(0 real changes made)

{com}.         replace acinfexp_apol = "5" if regexm(acinfexp_apol,"Not applicable")
{txt}(0 real changes made)

{com}.         replace acinfexp_apol = "6" if regexm(acinfexp_apol,"Do not know")
{txt}(0 real changes made)

{com}.         
.         destring acinfexp_apol, replace
{txt}acinfexp_apol: all characters numeric; {res}replaced {txt}as {res}byte
{txt}(61 missing values generated)
{res}{txt}
{com}.         lab def acinfexp_apol 1 "Very easy" 2 "Somewhat easy" 3 "Somewhat difficult" 4 "Very difficult" 5 "Not applicable, this level of government has no spending power" 6 "Do not know / Refuse to answer"
{txt}
{com}.         lab val acinfexp_apol acinfexp_apol
{txt}
{com}.         
.         fre acinfexp_apol
{res}
{txt}acinfexp_apol {hline 2} Obtain detailed info about expenditures (app. politician)
{txt}{hline 13}{hline 1}{c TT}{hline 44}
{txt}        {txt}      {c |}      Freq.    Percent      Valid       Cum.
{txt}{hline 13}{hline 1}{c +}{hline 44}
{txt}Missing .     {c |}{res}         61     100.00                      
{txt}{hline 13}{hline 1}{c BT}{hline 44}

{com}.         
.         gen test_acinfexp_apol = (acinfexp_apol != .)
{txt}
{com}.         replace test_acinfexp_apol = . if asked_survey == 0
{txt}(37 real changes made, 37 to missing)

{com}.         replace test_acinfexp_apol = . if aptpol_d == 0
{txt}(14 real changes made, 14 to missing)

{com}.         replace test_acinfexp_apol = . if elecpol_ovrsee == 1 
{txt}(10 real changes made, 10 to missing)

{com}.         fre test_acinfexp_apol
{res}
{txt}test_acinfexp_apol
{txt}{hline 9}{hline 1}{c TT}{hline 44}
{txt}        {txt}  {c |}      Freq.    Percent      Valid       Cum.
{txt}{hline 9}{hline 1}{c +}{hline 44}
{txt}Missing . {c |}{res}         61     100.00                      
{txt}{hline 9}{hline 1}{c BT}{hline 44}

{com}.         assert inlist(test_acinfexp_apol,.,1)
{txt}
{com}.         
.         drop test_acinfexp_apol
{txt}
{com}.         
.         * understand_epol
.         
.         lab var understand_epol "Has capacity to read/understand budget (elec. politician)"
{txt}
{com}.         
.         fre understand_epol
{res}
{txt}understand_epol {hline 2} Has capacity to read/understand budget (elec. politician)
{txt}{hline 28}{hline 1}{c TT}{hline 44}
{txt}        {txt}                     {c |}      Freq.    Percent      Valid       Cum.
{txt}{hline 28}{hline 1}{c +}{hline 44}
{txt}Valid   Definitely capable   {c |}{res}          1       1.64       5.26       5.26
{txt}        Only with difficulty {c |}{res}          2       3.28      10.53      15.79
{txt}        Somewhat capable     {c |}{res}          9      14.75      47.37      63.16
{txt}        Definitely capable   {c |}{res}          2       3.28      10.53      73.68
{txt}        Only with difficulty {c |}{res}          1       1.64       5.26      78.95
{txt}        Somewhat capable     {c |}{res}          4       6.56      21.05     100.00
{txt}        Total                {c |}{res}         19      31.15     100.00           
{txt}Missing                      {c |}{res}         42      68.85                      
{txt}Total                        {c |}{res}         61     100.00                      
{txt}{hline 28}{hline 1}{c BT}{hline 44}

{com}.         
.         replace understand_epol = "1" if regexm(understand_epol,"Definitely capable")
{txt}(3 real changes made)

{com}.         replace understand_epol = "2" if regexm(understand_epol,"Somewhat capable")
{txt}(13 real changes made)

{com}.         replace understand_epol = "3" if regexm(understand_epol,"Only with difficulty")
{txt}(3 real changes made)

{com}.         replace understand_epol = "4" if regexm(understand_epol,"Not capable")
{txt}(0 real changes made)

{com}.         replace understand_epol = "5" if regexm(understand_epol,"Do not know")
{txt}(0 real changes made)

{com}.         
.         fre understand_epol
{res}
{txt}understand_epol {hline 2} Has capacity to read/understand budget (elec. politician)
{txt}{hline 13}{hline 1}{c TT}{hline 44}
{txt}        {txt}      {c |}      Freq.    Percent      Valid       Cum.
{txt}{hline 13}{hline 1}{c +}{hline 44}
{txt}Valid   1     {c |}{res}          3       4.92      15.79      15.79
{txt}        2     {c |}{res}         13      21.31      68.42      84.21
{txt}        3     {c |}{res}          3       4.92      15.79     100.00
{txt}        Total {c |}{res}         19      31.15     100.00           
{txt}Missing       {c |}{res}         42      68.85                      
{txt}Total         {c |}{res}         61     100.00                      
{txt}{hline 13}{hline 1}{c BT}{hline 44}

{com}.         
.         destring understand_epol, replace
{txt}understand_epol: all characters numeric; {res}replaced {txt}as {res}byte
{txt}(42 missing values generated)
{res}{txt}
{com}.         lab def understand_epol 1 "Definitely capable" 2 "Somewhat capable" 3 "Only with difficulty" 4 "Not capable" 5 "Do not know / Refuse to answer"
{txt}
{com}.         lab val understand_epol understand_epol
{txt}
{com}.         
.         fre understand_epol
{res}
{txt}understand_epol {hline 2} Has capacity to read/understand budget (elec. politician)
{txt}{hline 30}{hline 1}{c TT}{hline 44}
{txt}        {txt}                       {c |}      Freq.    Percent      Valid       Cum.
{txt}{hline 30}{hline 1}{c +}{hline 44}
{txt}Valid   1 Definitely capable   {c |}{res}          3       4.92      15.79      15.79
{txt}        2 Somewhat capable     {c |}{res}         13      21.31      68.42      84.21
{txt}        3 Only with difficulty {c |}{res}          3       4.92      15.79     100.00
{txt}        Total                  {c |}{res}         19      31.15     100.00           
{txt}Missing .                      {c |}{res}         42      68.85                      
{txt}Total                          {c |}{res}         61     100.00                      
{txt}{hline 30}{hline 1}{c BT}{hline 44}

{com}.         
.         gen test_understand_epol = (understand_epol != .)
{txt}
{com}.         replace test_understand_epol = . if asked_survey == 0 
{txt}(37 real changes made, 37 to missing)

{com}.         replace test_understand_epol = . if elecpol_ovrsee == 0
{txt}(1 real change made, 1 to missing)

{com}.         fre test_understand_epol
{res}
{txt}test_understand_epol
{txt}{hline 13}{hline 1}{c TT}{hline 44}
{txt}        {txt}      {c |}      Freq.    Percent      Valid       Cum.
{txt}{hline 13}{hline 1}{c +}{hline 44}
{txt}Valid   0     {c |}{res}          4       6.56      17.39      17.39
{txt}        1     {c |}{res}         19      31.15      82.61     100.00
{txt}        Total {c |}{res}         23      37.70     100.00           
{txt}Missing .     {c |}{res}         38      62.30                      
{txt}Total         {c |}{res}         61     100.00                      
{txt}{hline 13}{hline 1}{c BT}{hline 44}

{com}.         *assert inlist(test_understand_epol,.,1)
.         
.         *drop test_understand_epol
.         
.         * understand_apol
.         
.         lab var understand_apol "Has capacity to read/understand budget (app. politician)"
{txt}
{com}.         
.         fre understand_apol
{res}
{txt}understand_apol {hline 2} Has capacity to read/understand budget (app. politician)
{txt}{hline 28}{hline 1}{c TT}{hline 44}
{txt}        {txt}                     {c |}      Freq.    Percent      Valid       Cum.
{txt}{hline 28}{hline 1}{c +}{hline 44}
{txt}Valid   Definitely capable   {c |}{res}          1       1.64      50.00      50.00
{txt}        Only with difficulty {c |}{res}          1       1.64      50.00     100.00
{txt}        Total                {c |}{res}          2       3.28     100.00           
{txt}Missing                      {c |}{res}         59      96.72                      
{txt}Total                        {c |}{res}         61     100.00                      
{txt}{hline 28}{hline 1}{c BT}{hline 44}

{com}.         
.         replace understand_apol = "1" if regexm(understand_apol,"Definitely capable")
{txt}(1 real change made)

{com}.         replace understand_apol = "2" if regexm(understand_apol,"Somewhat capable")
{txt}(0 real changes made)

{com}.         replace understand_apol = "3" if regexm(understand_apol,"Only with difficulty")
{txt}(1 real change made)

{com}.         replace understand_apol = "4" if regexm(understand_apol,"Not capable")
{txt}(0 real changes made)

{com}.         replace understand_apol = "5" if regexm(understand_apol,"Do not know")
{txt}(0 real changes made)

{com}.         
.         destring understand_apol, replace
{txt}understand_apol: all characters numeric; {res}replaced {txt}as {res}byte
{txt}(59 missing values generated)
{res}{txt}
{com}.         lab def understand_apol 1 "Definitely capable" 2 "Somewhat capable" 3 "Only with difficulty" 4 "Not capable" 5 "Do not know / Refuse to answer"
{txt}
{com}.         lab val understand_apol understand_apol
{txt}
{com}.         
.         fre understand_apol
{res}
{txt}understand_apol {hline 2} Has capacity to read/understand budget (app. politician)
{txt}{hline 30}{hline 1}{c TT}{hline 44}
{txt}        {txt}                       {c |}      Freq.    Percent      Valid       Cum.
{txt}{hline 30}{hline 1}{c +}{hline 44}
{txt}Valid   1 Definitely capable   {c |}{res}          1       1.64      50.00      50.00
{txt}        3 Only with difficulty {c |}{res}          1       1.64      50.00     100.00
{txt}        Total                  {c |}{res}          2       3.28     100.00           
{txt}Missing .                      {c |}{res}         59      96.72                      
{txt}Total                          {c |}{res}         61     100.00                      
{txt}{hline 30}{hline 1}{c BT}{hline 44}

{com}.         
.         gen test_understand_apol = (understand_apol != .)
{txt}
{com}.         replace test_understand_apol = . if asked_survey == 0
{txt}(37 real changes made, 37 to missing)

{com}.         replace test_understand_apol = . if aptpol_d == 0
{txt}(14 real changes made, 14 to missing)

{com}.         replace test_understand_apol = . if elecpol_ovrsee == 1 
{txt}(10 real changes made, 10 to missing)

{com}.         fre test_understand_apol
{res}
{txt}test_understand_apol
{txt}{hline 9}{hline 1}{c TT}{hline 44}
{txt}        {txt}  {c |}      Freq.    Percent      Valid       Cum.
{txt}{hline 9}{hline 1}{c +}{hline 44}
{txt}Missing . {c |}{res}         61     100.00                      
{txt}{hline 9}{hline 1}{c BT}{hline 44}

{com}.         assert inlist(test_understand_apol,.,1)
{txt}
{com}.         
.         drop test_understand_apol
{txt}
{com}.         
.         
.         e

{txt}end of do-file


{com}. do "/var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//SD44938.000000"
{txt}
{com}. 
.         * Purpose: Importing data to run HFC
.         
.         * Setting up globals
.         
.         if "`c(username)'" == "fredericcochinard" {c -(}
.                 
.                 global import_folder "/Users/fredericcochinard/Dropbox/Expert survey/Data/0.survey_dataset/0.import"
.                 global output "/Users/fredericcochinard/Dropbox/Expert survey/Data/0.survey_dataset/1.output"
.                 
.                 {c )-}
{txt}
{com}.                 
.         if "`c(username)'" == "" {c -(}
.         
.                 
.                 {c )-}
{txt}
{com}.         
.         * Looking for renaming folder with problem
.         
.         local myfiles: dir "$import_folder" files "*.xlsx"
{txt}
{com}. 
.         foreach file of local myfiles {c -(}
{txt}  2{com}.                 
.                 local subfile = substr("`file'", 1, .)
{txt}  3{com}.                 local subfile : subinstr local subfile " " "_", all
{txt}  4{com}.                 ! mv "${c -(}import_folder{c )-}/`file'" "${c -(}import_folder{c )-}/`subfile'"
{txt}  5{com}.                 
.                 {c )-}
{txt}

{com}.         
.         * Looking for dataset
.         
.         filelist , dir("$import_folder") pat("*.xlsx")
{res}{txt}Number of files found = {res}1
{txt}
{com}.         
.         gen url = filename
{txt}
{com}.         
.         levelsof url
{txt}`"Expert_survey_February_18,_2025_16.23.xlsx"'

{com}. 
.         local lvlfiles `r(levels)'
{txt}
{com}.         
.         local z = 0
{txt}
{com}.         
.         foreach lvl of local lvlfiles {c -(}
{txt}  2{com}.         
.                 local z = `z' + 1
{txt}  3{com}.                 
.                 local temp : subinstr local lvl `"""' "", all
{txt}  4{com}.                 local url : subinstr local temp "'" "", all
{txt}  5{com}.         
.                 import excel "${c -(}import_folder{c )-}/`url'", first case(lower) clear
{txt}  6{com}.                 
.                 gen num = _n
{txt}  7{com}.                 drop if num == 1
{txt}  8{com}.                 
.                 * Preparing the append
.                 
.                 tempfile data`z'
{txt}  9{com}.                 sa "`data`z''"
{txt} 10{com}.                 
.                 {c )-}
{res}{txt}(1 observation deleted)
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.000001 saved

{com}.                 
.         * We append the dataset to start cleaning
.         
.         use "`data1'", clear
{txt}
{com}.         
.         forvalues x = 2/`z' {c -(}
{txt}  2{com}.         
.                 append using "`data`x''"
{txt}  3{com}.                 
.                 {c )-}
{txt}
{com}.                 
.         duplicates drop

{p 0 4}{txt}Duplicates in terms of {txt} all variables{p_end}

(0 observations are duplicates)

{com}.         
.         * We keep relevant variable
.         drop if recipientemail == "frederic.cochinard@gmail.com"
{txt}(8 observations deleted)

{com}.         drop if recipientemail == "vedpant+spanish@college.harvard.edu"
{txt}(1 observation deleted)

{com}.         drop if recipientemail == "frederic.cochinard+3@gmail.com"
{txt}(1 observation deleted)

{com}.         drop if recipientemail == "frederic.cochinard+1@gmail.com"
{txt}(1 observation deleted)

{com}.         
.         * We remove observation that are not finished
.         drop if finished == "False"
{txt}(9 observations deleted)

{com}.         
.         * We create a save
.         
.         tempfile save_data
{txt}
{com}.         sa "`save_data'"
{txt}file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.000002 saved

{com}.         
.         ******************
.         * Payment module *
.         ******************
.         
.         preserve
{txt}
{com}.         
.         keep responseid method_pay_bank_in_q-q977
{txt}
{com}.         compress
  {txt}variable {bf}method_pay_bank_in_q{sf} was {bf}{res}str237{sf}{txt} now {bf}{res}str24{sf}
  {txt}variable {bf}expert_donation_org{sf} was {bf}{res}str129{sf}{txt} now {bf}{res}str23{sf}
  {txt}variable {bf}q967{sf} was {bf}{res}str236{sf}{txt} now {bf}{res}str65{sf}
  {txt}variable {bf}q978{sf} was {bf}{res}str326{sf}{txt} now {bf}{res}str16{sf}
  {txt}variable {bf}q979{sf} was {bf}{res}str104{sf}{txt} now {bf}{res}str39{sf}
  {txt}variable {bf}q980{sf} was {bf}{res}str95{sf}{txt} now {bf}{res}str11{sf}
  {txt}variable {bf}q987{sf} was {bf}{res}str170{sf}{txt} now {bf}{res}str24{sf}
  {txt}variable {bf}q984{sf} was {bf}{res}str326{sf}{txt} now {bf}{res}str1{sf}
  {txt}variable {bf}q985{sf} was {bf}{res}str104{sf}{txt} now {bf}{res}str1{sf}
  {txt}variable {bf}q986{sf} was {bf}{res}str95{sf}{txt} now {bf}{res}str1{sf}
  {txt}variable {bf}q988{sf} was {bf}{res}str170{sf}{txt} now {bf}{res}str1{sf}
  {txt}variable {bf}q989{sf} was {bf}{res}str559{sf}{txt} now {bf}{res}str1{sf}
  {txt}variable {bf}q990{sf} was {bf}{res}str102{sf}{txt} now {bf}{res}str1{sf}
  {txt}variable {bf}q991{sf} was {bf}{res}str93{sf}{txt} now {bf}{res}str1{sf}
  {txt}variable {bf}q992{sf} was {bf}{res}str170{sf}{txt} now {bf}{res}str1{sf}
  {txt}variable {bf}q998{sf} was {bf}{res}str537{sf}{txt} now {bf}{res}str1{sf}
  {txt}variable {bf}q997{sf} was {bf}{res}str105{sf}{txt} now {bf}{res}str1{sf}
  {txt}variable {bf}q999{sf} was {bf}{res}str104{sf}{txt} now {bf}{res}str1{sf}
  {txt}variable {bf}q1000{sf} was {bf}{res}str95{sf}{txt} now {bf}{res}str1{sf}
  {txt}variable {bf}q1001{sf} was {bf}{res}str170{sf}{txt} now {bf}{res}str1{sf}
  {txt}variable {bf}q977{sf} was {bf}{res}str502{sf}{txt} now {bf}{res}str23{sf}
{txt}  (46,101 bytes saved)

{com}.         
.         * Donate_d
.         
.         gen donate_d = 0
{txt}
{com}.         replace donate_d = 1 if method_pay_bank_in_q == "I prefer to donate"
{txt}(3 real changes made)

{com}.         
.         * Special case
.         replace donate_d = 1 if responseid == "R_4ouc7tR6BFj3gpb" // respondent is refusing to take money in comments
{txt}(1 real change made)

{com}.         replace donate_d = 1 if responseid == "R_4Iow7YzsoT2KTOx" // respondent is writing cancel in comments
{txt}(1 real change made)

{com}.         
.         lab var donate_d "Respondent decided to donate"
{txt}
{com}.         lab def donate_d 0 "No" 1 "Yes"
{txt}
{com}.         lab val donate_d donate_d
{txt}
{com}.         order donate_d, after(responseid)
{txt}
{com}.         
.         * Org
.         
.         gen org_donation_id = "" 
{txt}(11 missing values generated)

{com}.         replace org_donation_id = expert_donation_org if donate_d == 1
{txt}variable {bf}org_donation_id{sf} was {bf}{res}str1{sf}{txt} now {bf}{res}str23{sf}
{txt}(3 real changes made)

{com}.         replace org_donation_id = "No choice" if donate_d == 1 & org_donation_id == ""
{txt}(2 real changes made)

{com}.         lab var org_donation_id "Name of the organization the respondent chose to donate"
{txt}
{com}.         order org_donation_id, after(donate_d)
{txt}
{com}.         
.         * Paid status
.         
.         gen paid_status = 0
{txt}
{com}.         replace paid_status = 2 if donate_d == 1
{txt}(5 real changes made)

{com}.         
.         * Case of payment
.         
.         lab var paid_status "Status of payment of the respondent"
{txt}
{com}.         lab def paid_status 0 "Not yet" 1 "Yes" 2 "Donation"
{txt}
{com}.         lab val paid_status paid_status
{txt}
{com}.         order paid_status, after(org_donation_id)
{txt}
{com}.         
.         keep responseid donate_d org_donation_id paid_status
{txt}
{com}.         
.         tempfile payment_module
{txt}
{com}.         sa "`payment_module'"
{txt}file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.000004 saved

{com}.         
.         restore
{txt}
{com}.         
.         * Main form of survey 
.         keep country full_name recipientemail responseid progress durationinseconds finished userlanguage num_unit confirmation_* ///
>         title_bur* elecpol_ovrsee* title_elecpol* aptpol_d* title_aptpol* who_aptpol* mostinf_servdel* educ_elecpolbur* ///
>         educ_apolbur* slry_elecpolbur* slry_apolbur* fdout_epol_bgt* fdout_apol_bgt* budsect_epol* budsect_apol* acinfexp_epol* /// 
>         acinfexp_apol* understand_epol* understand_apol* acttake_epol* acttake_epol* acttake_apol* acttake_apol* likely* why_likchan* /// 
>         who_apt_bur* who_apt_bur* who_fir_bur* who_fir_bur* ocap_epol* ocap_apol* prio_epol* prio_apol* overall_conf* avg_educ_epol* ///
>         avg_educ_apol* avg_educ_buro* avg_slry_epol* avg_slry_apol* avg_slry_buro* //
{txt}
{com}.         
.         destring durationinseconds progress, replace
{txt}durationinseconds: all characters numeric; {res}replaced {txt}as {res}int
{txt}progress: all characters numeric; {res}replaced {txt}as {res}byte
{txt}
{com}.         replace durationinseconds = round(durationinseconds/60)
{txt}(11 real changes made)

{com}.         ren durationinseconds duration_minutes
{res}{txt}
{com}. 
.         *--
.         
.         local id country full_name recipientemail responseid userlanguage num_unit finished progress duration_minutes
{txt}
{com}.         
.         order `id', first
{txt}
{com}.         duplicates drop `id', force

{p 0 4}{txt}Duplicates in terms of {res} country full_name recipientemail responseid userlanguage num_unit finished progress duration_minutes{p_end}

{txt}(0 observations are duplicates)

{com}.         
.         * Renaming others
.         
.         forvalues x = 1/3 {c -(}
{txt}  2{com}.                 
.                 forvalues y = 1/6 {c -(} 
{txt}  3{com}.                 
.                         cap ren who_apt_bur_`x'_`y'_8_text who_apt_buroth_`x'_`y'
{txt}  4{com}.                         cap ren who_fir_bur_`x'_`y'_8_text who_fir_buroth_`x'_`y'
{txt}  5{com}.                         cap ren acttake_epol_`x'_`y'_9_text acttake_epoloth_`x'_`y'
{txt}  6{com}.                         cap ren acttake_apol_`x'_`y'_9_text acttake_apoloth_`x'_`y'
{txt}  7{com}.                         
.                         {c )-}
{txt}  8{com}.                         
.                 {c )-}
{txt}
{com}.         
.         #delimit ;
{txt}delimiter now ;
{com}.         local var confirmation
>         title_bur 
>         elecpol_ovrsee
>         title_elecpol
>         aptpol_d
>         title_aptpol
>         who_aptpol
>         mostinf_servdel
>         educ_elecpolbur
>         educ_apolbur
>         slry_elecpolbur
>         slry_apolbur
>         fdout_epol_bgt
>         fdout_apol_bgt
>         budsect_epol
>         budsect_apol
>         acinfexp_epol
>         acinfexp_apol
>         understand_epol
>         understand_apol
>         acttake_epol
>         acttake_epoloth
>         acttake_apol
>         acttake_apoloth
>         likely
>         why_likchan
>         who_apt_bur
>         who_apt_buroth
>         who_fir_bur
>         who_fir_buroth
>         ocap_epol
>         ocap_apol
>         prio_epol
>         prio_apol
>         overall_conf
>         avg_educ_epol
>         avg_educ_apol
>         avg_educ_buro
>         avg_slry_epol
>         avg_slry_apol
>         avg_slry_buro
>         
>         ;
{txt}
{com}.                 #delimit cr
{txt}delimiter now cr
{com}. 
.         reshape long `var', i(`id') j(pos) s
{txt}(note: j = _1_1 _1_4 _1_5 _1_6 _2_1 _2_2 _2_4 _2_5 _2_6 _3_1 _3_2 _3_3 _3_4 _3_5 _3_6)
(note: confirmation_1_4 not found)
(note: confirmation_1_5 not found)
(note: confirmation_1_6 not found)
(note: confirmation_2_4 not found)
(note: confirmation_2_5 not found)
(note: confirmation_2_6 not found)
(note: confirmation_3_4 not found)
(note: confirmation_3_5 not found)
(note: confirmation_3_6 not found)

Data{col 36}wide{col 43}->{col 48}long
{hline 77}
Number of obs.                 {res}      11   {txt}->{res}     165
{txt}Number of variables            {res}     615   {txt}->{res}      51
{txt}j variable (15 values)                    ->   {res}pos
{txt}xij variables:
{res}confirmation_1_1 confirmation_1_4 ... confirmation_3_6{txt}->{res}confirmation
title_bur_1_1 title_bur_1_4 ... title_bur_3_6{txt}->{res}title_bur
elecpol_ovrsee_1_1 elecpol_ovrsee_1_4 ... elecpol_ovrsee_3_6{txt}->{res}elecpol_ovrsee
title_elecpol_1_1 title_elecpol_1_4 ... title_elecpol_3_6{txt}->{res}title_elecpol
aptpol_d_1_1 aptpol_d_1_4 ... aptpol_d_3_6{txt}->   {res}aptpol_d
title_aptpol_1_1 title_aptpol_1_4 ... title_aptpol_3_6{txt}->{res}title_aptpol
who_aptpol_1_1 who_aptpol_1_4 ... who_aptpol_3_6{txt}->{res}who_aptpol
mostinf_servdel_1_1 mostinf_servdel_1_4 ... mostinf_servdel_3_6{txt}->{res}mostinf_servdel
educ_elecpolbur_1_1 educ_elecpolbur_1_4 ... educ_elecpolbur_3_6{txt}->{res}educ_elecpolbur
educ_apolbur_1_1 educ_apolbur_1_4 ... educ_apolbur_3_6{txt}->{res}educ_apolbur
slry_elecpolbur_1_1 slry_elecpolbur_1_4 ... slry_elecpolbur_3_6{txt}->{res}slry_elecpolbur
slry_apolbur_1_1 slry_apolbur_1_4 ... slry_apolbur_3_6{txt}->{res}slry_apolbur
fdout_epol_bgt_1_1 fdout_epol_bgt_1_4 ... fdout_epol_bgt_3_6{txt}->{res}fdout_epol_bgt
fdout_apol_bgt_1_1 fdout_apol_bgt_1_4 ... fdout_apol_bgt_3_6{txt}->{res}fdout_apol_bgt
budsect_epol_1_1 budsect_epol_1_4 ... budsect_epol_3_6{txt}->{res}budsect_epol
budsect_apol_1_1 budsect_apol_1_4 ... budsect_apol_3_6{txt}->{res}budsect_apol
acinfexp_epol_1_1 acinfexp_epol_1_4 ... acinfexp_epol_3_6{txt}->{res}acinfexp_epol
acinfexp_apol_1_1 acinfexp_apol_1_4 ... acinfexp_apol_3_6{txt}->{res}acinfexp_apol
understand_epol_1_1 understand_epol_1_4 ... understand_epol_3_6{txt}->{res}understand_epol
understand_apol_1_1 understand_apol_1_4 ... understand_apol_3_6{txt}->{res}understand_apol
acttake_epol_1_1 acttake_epol_1_4 ... acttake_epol_3_6{txt}->{res}acttake_epol
acttake_epoloth_1_1 acttake_epoloth_1_4 ... acttake_epoloth_3_6{txt}->{res}acttake_epoloth
acttake_apol_1_1 acttake_apol_1_4 ... acttake_apol_3_6{txt}->{res}acttake_apol
acttake_apoloth_1_1 acttake_apoloth_1_4 ... acttake_apoloth_3_6{txt}->{res}acttake_apoloth
   likely_1_1 likely_1_4 ... likely_3_6   {txt}->   {res}likely
why_likchan_1_1 why_likchan_1_4 ... why_likchan_3_6{txt}->{res}why_likchan
who_apt_bur_1_1 who_apt_bur_1_4 ... who_apt_bur_3_6{txt}->{res}who_apt_bur
who_apt_buroth_1_1 who_apt_buroth_1_4 ... who_apt_buroth_3_6{txt}->{res}who_apt_buroth
who_fir_bur_1_1 who_fir_bur_1_4 ... who_fir_bur_3_6{txt}->{res}who_fir_bur
who_fir_buroth_1_1 who_fir_buroth_1_4 ... who_fir_buroth_3_6{txt}->{res}who_fir_buroth
ocap_epol_1_1 ocap_epol_1_4 ... ocap_epol_3_6{txt}->{res}ocap_epol
ocap_apol_1_1 ocap_apol_1_4 ... ocap_apol_3_6{txt}->{res}ocap_apol
prio_epol_1_1 prio_epol_1_4 ... prio_epol_3_6{txt}->{res}prio_epol
prio_apol_1_1 prio_apol_1_4 ... prio_apol_3_6{txt}->{res}prio_apol
overall_conf_1_1 overall_conf_1_4 ... overall_conf_3_6{txt}->{res}overall_conf
avg_educ_epol_1_1 avg_educ_epol_1_4 ... avg_educ_epol_3_6{txt}->{res}avg_educ_epol
avg_educ_apol_1_1 avg_educ_apol_1_4 ... avg_educ_apol_3_6{txt}->{res}avg_educ_apol
avg_educ_buro_1_1 avg_educ_buro_1_4 ... avg_educ_buro_3_6{txt}->{res}avg_educ_buro
avg_slry_epol_1_1 avg_slry_epol_1_4 ... avg_slry_epol_3_6{txt}->{res}avg_slry_epol
avg_slry_apol_1_1 avg_slry_apol_1_4 ... avg_slry_apol_3_6{txt}->{res}avg_slry_apol
avg_slry_buro_1_1 avg_slry_buro_1_4 ... avg_slry_buro_3_6{txt}->{res}avg_slry_buro
{txt}{hline 77}

{com}.         
.         * Filter data
.         
.         split pos, p("_")
{res}variables created as string: 
{txt}{col 1}pos1{col 7}pos2{col 13}pos3

{com}.         
.         drop pos1
{txt}
{com}.         ren pos2 case_n_unit
{res}{txt}
{com}.         ren pos3 unit_num
{res}{txt}
{com}.         destring case_n_unit unit_num, replace
{txt}case_n_unit: all characters numeric; {res}replaced {txt}as {res}byte
{txt}unit_num: all characters numeric; {res}replaced {txt}as {res}byte
{txt}
{com}.         order case_n_unit unit_num, after(duration_minutes)
{txt}
{com}.         drop pos
{txt}
{com}.         
.         destring num_unit, replace
{txt}num_unit: all characters numeric; {res}replaced {txt}as {res}byte
{txt}
{com}.         drop if num_unit != case_n_unit
{txt}(104 observations deleted)

{com}.         drop num_unit
{txt}
{com}.         
.         compress
  {txt}variable {bf}country{sf} was {bf}{res}str15{sf}{txt} now {bf}{res}str11{sf}
  {txt}variable {bf}full_name{sf} was {bf}{res}str28{sf}{txt} now {bf}{res}str23{sf}
  {txt}variable {bf}recipientemail{sf} was {bf}{res}str35{sf}{txt} now {bf}{res}str32{sf}
  {txt}variable {bf}userlanguage{sf} was {bf}{res}str13{sf}{txt} now {bf}{res}str2{sf}
  {txt}variable {bf}finished{sf} was {bf}{res}str8{sf}{txt} now {bf}{res}str4{sf}
  {txt}variable {bf}title_bur{sf} was {bf}{res}str448{sf}{txt} now {bf}{res}str235{sf}
  {txt}variable {bf}elecpol_ovrsee{sf} was {bf}{res}str352{sf}{txt} now {bf}{res}str3{sf}
  {txt}variable {bf}title_elecpol{sf} was {bf}{res}str312{sf}{txt} now {bf}{res}str288{sf}
  {txt}variable {bf}aptpol_d{sf} was {bf}{res}str332{sf}{txt} now {bf}{res}str30{sf}
  {txt}variable {bf}who_aptpol{sf} was {bf}{res}str96{sf}{txt} now {bf}{res}str84{sf}
  {txt}variable {bf}mostinf_servdel{sf} was {bf}{res}str256{sf}{txt} now {bf}{res}str44{sf}
  {txt}variable {bf}educ_elecpolbur{sf} was {bf}{res}str258{sf}{txt} now {bf}{res}str51{sf}
  {txt}variable {bf}educ_apolbur{sf} was {bf}{res}str260{sf}{txt} now {bf}{res}str1{sf}
  {txt}variable {bf}slry_elecpolbur{sf} was {bf}{res}str316{sf}{txt} now {bf}{res}str47{sf}
  {txt}variable {bf}slry_apolbur{sf} was {bf}{res}str318{sf}{txt} now {bf}{res}str1{sf}
  {txt}variable {bf}fdout_epol_bgt{sf} was {bf}{res}str373{sf}{txt} now {bf}{res}str19{sf}
  {txt}variable {bf}fdout_apol_bgt{sf} was {bf}{res}str375{sf}{txt} now {bf}{res}str1{sf}
  {txt}variable {bf}budsect_epol{sf} was {bf}{res}str217{sf}{txt} now {bf}{res}str19{sf}
  {txt}variable {bf}budsect_apol{sf} was {bf}{res}str219{sf}{txt} now {bf}{res}str1{sf}
  {txt}variable {bf}acinfexp_epol{sf} was {bf}{res}str216{sf}{txt} now {bf}{res}str19{sf}
  {txt}variable {bf}acinfexp_apol{sf} was {bf}{res}str218{sf}{txt} now {bf}{res}str1{sf}
  {txt}variable {bf}understand_epol{sf} was {bf}{res}str214{sf}{txt} now {bf}{res}str21{sf}
  {txt}variable {bf}understand_apol{sf} was {bf}{res}str216{sf}{txt} now {bf}{res}str21{sf}
  {txt}variable {bf}acttake_epol{sf} was {bf}{res}str247{sf}{txt} now {bf}{res}str163{sf}
  {txt}variable {bf}acttake_epoloth{sf} was {bf}{res}str261{sf}{txt} now {bf}{res}str63{sf}
  {txt}variable {bf}acttake_apol{sf} was {bf}{res}str250{sf}{txt} now {bf}{res}str1{sf}
  {txt}variable {bf}acttake_apoloth{sf} was {bf}{res}str264{sf}{txt} now {bf}{res}str1{sf}
  {txt}variable {bf}likely{sf} was {bf}{res}str159{sf}{txt} now {bf}{res}str18{sf}
  {txt}variable {bf}who_apt_bur{sf} was {bf}{res}str126{sf}{txt} now {bf}{res}str64{sf}
  {txt}variable {bf}who_fir_bur{sf} was {bf}{res}str120{sf}{txt} now {bf}{res}str64{sf}
  {txt}variable {bf}who_fir_buroth{sf} was {bf}{res}str134{sf}{txt} now {bf}{res}str77{sf}
  {txt}variable {bf}ocap_epol{sf} was {bf}{res}str359{sf}{txt} now {bf}{res}str55{sf}
  {txt}variable {bf}ocap_apol{sf} was {bf}{res}str361{sf}{txt} now {bf}{res}str1{sf}
  {txt}variable {bf}prio_epol{sf} was {bf}{res}str209{sf}{txt} now {bf}{res}str73{sf}
  {txt}variable {bf}prio_apol{sf} was {bf}{res}str211{sf}{txt} now {bf}{res}str1{sf}
  {txt}variable {bf}overall_conf{sf} was {bf}{res}str191{sf}{txt} now {bf}{res}str17{sf}
  {txt}variable {bf}avg_educ_buro{sf} was {bf}{res}str117{sf}{txt} now {bf}{res}str101{sf}
  {txt}variable {bf}avg_slry_apol{sf} was {bf}{res}str134{sf}{txt} now {bf}{res}str128{sf}
  {txt}variable {bf}avg_slry_buro{sf} was {bf}{res}str134{sf}{txt} now {bf}{res}str87{sf}
  {txt}variable {bf}confirmation{sf} was {bf}{res}str1148{sf}{txt} now {bf}{res}str63{sf}
{txt}  (462,685 bytes saved)

{com}.         
.         * We edit the label 
.         
.         lab var country "Country"
{txt}
{com}.         lab var full_name  "Full name of recipient"
{txt}
{com}.         lab var recipientemail "Recipient email"
{txt}
{com}.         lab var userlanguage "Language used to answer"
{txt}
{com}.         lab var finished "Completion status"
{txt}
{com}.         lab var progress "Progress"
{txt}
{com}.         lab var duration_minutes "Duration in minutes"
{txt}
{com}.         lab var case_n_unit "Original number of entities"
{txt}
{com}.         lab var unit_num "Unit number"
{txt}
{com}.         
.         * Confirmation
.         
.         fre confirmation
{res}
{txt}confirmation
{txt}{hline 54}{hline 1}{c TT}{hline 44}
{txt}        {txt}                                               {c |}      Freq.    Percent      Valid       Cum.
{txt}{hline 54}{hline 1}{c +}{hline 44}
{txt}Valid   No, this is inaccurate. This level needs to be {c |}{res}          2       3.28       7.14       7.14
{txt}        replaced/deleted                               {c |}{res}                                            
{txt}        No, this level needs to be replaced/deleted    {c |}{res}          2       3.28       7.14      14.29
{txt}        Yes, this is accurate                          {c |}{res}         24      39.34      85.71     100.00
{txt}        Total                                          {c |}{res}         28      45.90     100.00           
{txt}Missing                                                {c |}{res}         33      54.10                      
{txt}Total                                                  {c |}{res}         61     100.00                      
{txt}{hline 54}{hline 1}{c BT}{hline 44}

{com}.         replace confirmation = "1" if confirmation == "Yes, this is accurate"
{txt}(24 real changes made)

{com}.         replace confirmation = "0" if regexm(confirmation,"No")
{txt}(4 real changes made)

{com}.         destring confirmation, replace
{txt}confirmation: all characters numeric; {res}replaced {txt}as {res}byte
{txt}(33 missing values generated)
{res}{txt}
{com}.         
.         lab var confirmation "Confirmation of adequacy of unit"
{txt}
{com}.         lab def confirmation 0 "No, this is not accurate. It should be replaced/deleted" 1 "Yes, this is accurate"
{txt}
{com}.         lab val confirmation confirmation
{txt}
{com}.         
.         fre confirmation
{res}
{txt}confirmation {hline 2} Confirmation of adequacy of unit
{txt}{hline 48}{hline 1}{c TT}{hline 44}
{txt}        {txt}                                         {c |}      Freq.    Percent      Valid       Cum.
{txt}{hline 48}{hline 1}{c +}{hline 44}
{txt}Valid   0 No, this is not accurate. It should be {c |}{res}          4       6.56      14.29      14.29
{txt}          replaced/deleted                       {c |}{res}                                            
{txt}        1 Yes, this is accurate                  {c |}{res}         24      39.34      85.71     100.00
{txt}        Total                                    {c |}{res}         28      45.90     100.00           
{txt}Missing .                                        {c |}{res}         33      54.10                      
{txt}Total                                            {c |}{res}         61     100.00                      
{txt}{hline 48}{hline 1}{c BT}{hline 44}

{com}.         
.         order confirmation, after(unit_num)
{txt}
{com}.         
.         * Creating variable about asked_survey (should be updated)
.         
.         gen asked_survey = 0
{txt}
{com}.         replace asked_survey = 1 if confirmation == 1
{txt}(24 real changes made)

{com}.         lab var asked_survey "Survey question asked to respondent"
{txt}
{com}.         lab def yesno 0 "No" 1 "Yes"
{txt}
{com}.         lab val asked_survey yesno
{txt}
{com}.         order asked_survey, after(confirmation)
{txt}
{com}.         
.         * title_bur
.         
.         lab var title_bur "Title of the highest-level bureaucrat in unit"
{txt}
{com}.         
.         gen test_title_bur = (title_bur != "")
{txt}
{com}.         replace test_title_bur = . if asked_survey == 0
{txt}(37 real changes made, 37 to missing)

{com}.         fre test_title_bur
{res}
{txt}test_title_bur
{txt}{hline 9}{hline 1}{c TT}{hline 44}
{txt}        {txt}  {c |}      Freq.    Percent      Valid       Cum.
{txt}{hline 9}{hline 1}{c +}{hline 44}
{txt}Valid   1 {c |}{res}         24      39.34     100.00     100.00
{txt}Missing . {c |}{res}         37      60.66                      
{txt}Total     {c |}{res}         61     100.00                      
{txt}{hline 9}{hline 1}{c BT}{hline 44}

{com}.         assert inlist(test_title_bur,.,1)
{txt}
{com}.         
.         drop test_title_bur
{txt}
{com}.         
.         * elecpol_ovrsee
.         
.         lab var elecpol_ovrsee "Any politicians in unit overseeing service delivery"
{txt}
{com}.         replace elecpol_ovrsee = "0" if elecpol_ovrsee == "No"
{txt}(2 real changes made)

{com}.         replace elecpol_ovrsee = "1" if elecpol_ovrsee == "Yes"
{txt}(23 real changes made)

{com}.         destring elecpol_ovrsee, replace
{txt}elecpol_ovrsee: all characters numeric; {res}replaced {txt}as {res}byte
{txt}(36 missing values generated)
{res}{txt}
{com}.         lab val elecpol_ovrsee yesno
{txt}
{com}.         
.         fre elecpol_ovrsee
{res}
{txt}elecpol_ovrsee {hline 2} Any politicians in unit overseeing service delivery
{txt}{hline 13}{hline 1}{c TT}{hline 44}
{txt}        {txt}      {c |}      Freq.    Percent      Valid       Cum.
{txt}{hline 13}{hline 1}{c +}{hline 44}
{txt}Valid   0 No  {c |}{res}          2       3.28       8.00       8.00
{txt}        1 Yes {c |}{res}         23      37.70      92.00     100.00
{txt}        Total {c |}{res}         25      40.98     100.00           
{txt}Missing .     {c |}{res}         36      59.02                      
{txt}Total         {c |}{res}         61     100.00                      
{txt}{hline 13}{hline 1}{c BT}{hline 44}

{com}.         
.         gen test_elecpol_ovrsee = (elecpol_ovrsee != .)
{txt}
{com}.         replace test_elecpol_ovrsee = . if asked_survey == 0
{txt}(37 real changes made, 37 to missing)

{com}.         fre test_elecpol_ovrsee
{res}
{txt}test_elecpol_ovrsee
{txt}{hline 9}{hline 1}{c TT}{hline 44}
{txt}        {txt}  {c |}      Freq.    Percent      Valid       Cum.
{txt}{hline 9}{hline 1}{c +}{hline 44}
{txt}Valid   1 {c |}{res}         24      39.34     100.00     100.00
{txt}Missing . {c |}{res}         37      60.66                      
{txt}Total     {c |}{res}         61     100.00                      
{txt}{hline 9}{hline 1}{c BT}{hline 44}

{com}.         assert inlist(test_elecpol_ovrsee,.,1)
{txt}
{com}.         
.         drop test_elecpol_ovrsee
{txt}
{com}.         
.         * title_elecpol
.         
.         lab var title_elecpol "Title of the highest-level elected politician in unit"
{txt}
{com}.         
.         gen test_title_elecpol = (title_elecpol != "")
{txt}
{com}.         replace test_title_elecpol = . if asked_survey == 0
{txt}(37 real changes made, 37 to missing)

{com}.         replace test_title_elecpol = . if elecpol_ovrsee == 0
{txt}(1 real change made, 1 to missing)

{com}.         fre test_title_elecpol
{res}
{txt}test_title_elecpol
{txt}{hline 9}{hline 1}{c TT}{hline 44}
{txt}        {txt}  {c |}      Freq.    Percent      Valid       Cum.
{txt}{hline 9}{hline 1}{c +}{hline 44}
{txt}Valid   1 {c |}{res}         23      37.70     100.00     100.00
{txt}Missing . {c |}{res}         38      62.30                      
{txt}Total     {c |}{res}         61     100.00                      
{txt}{hline 9}{hline 1}{c BT}{hline 44}

{com}.         assert inlist(test_title_elecpol,.,1)
{txt}
{com}.         
.         drop test_title_elecpol
{txt}
{com}.         
.         * aptpol_d
.         
.         fre aptpol_d
{res}
{txt}aptpol_d
{txt}{hline 38}{hline 1}{c TT}{hline 44}
{txt}        {txt}                               {c |}      Freq.    Percent      Valid       Cum.
{txt}{hline 38}{hline 1}{c +}{hline 44}
{txt}Valid   Do not know / Refuse to answer {c |}{res}          1       1.64       4.00       4.00
{txt}        No                             {c |}{res}         15      24.59      60.00      64.00
{txt}        Yes                            {c |}{res}          9      14.75      36.00     100.00
{txt}        Total                          {c |}{res}         25      40.98     100.00           
{txt}Missing                                {c |}{res}         36      59.02                      
{txt}Total                                  {c |}{res}         61     100.00                      
{txt}{hline 38}{hline 1}{c BT}{hline 44}

{com}.         
.         lab var aptpol_d "Politician appointed by higher politician in unit"
{txt}
{com}.         replace aptpol_d = "0" if aptpol_d == "No"
{txt}(15 real changes made)

{com}.         replace aptpol_d = "1" if aptpol_d == "Yes"
{txt}(9 real changes made)

{com}.         replace aptpol_d = "-98" if aptpol_d == "Do not know / Refuse to answer"
{txt}(1 real change made)

{com}.         destring aptpol_d, replace
{txt}aptpol_d: all characters numeric; {res}replaced {txt}as {res}byte
{txt}(36 missing values generated)
{res}{txt}
{com}.         lab val aptpol_d yesno
{txt}
{com}.         
.         fre aptpol_d
{res}
{txt}aptpol_d {hline 2} Politician appointed by higher politician in unit
{txt}{hline 15}{hline 1}{c TT}{hline 44}
{txt}        {txt}        {c |}      Freq.    Percent      Valid       Cum.
{txt}{hline 15}{hline 1}{c +}{hline 44}
{txt}Valid   -98     {c |}{res}          1       1.64       4.00       4.00
{txt}        0   No  {c |}{res}         15      24.59      60.00      64.00
{txt}        1   Yes {c |}{res}          9      14.75      36.00     100.00
{txt}        Total   {c |}{res}         25      40.98     100.00           
{txt}Missing .       {c |}{res}         36      59.02                      
{txt}Total           {c |}{res}         61     100.00                      
{txt}{hline 15}{hline 1}{c BT}{hline 44}

{com}.         
.         gen test_aptpol_d = (aptpol_d != .)
{txt}
{com}.         replace test_aptpol_d = . if asked_survey == 0
{txt}(37 real changes made, 37 to missing)

{com}.         fre test_aptpol_d
{res}
{txt}test_aptpol_d
{txt}{hline 9}{hline 1}{c TT}{hline 44}
{txt}        {txt}  {c |}      Freq.    Percent      Valid       Cum.
{txt}{hline 9}{hline 1}{c +}{hline 44}
{txt}Valid   1 {c |}{res}         24      39.34     100.00     100.00
{txt}Missing . {c |}{res}         37      60.66                      
{txt}Total     {c |}{res}         61     100.00                      
{txt}{hline 9}{hline 1}{c BT}{hline 44}

{com}.         assert inlist(test_aptpol_d,.,1)
{txt}
{com}.         
.         drop test_aptpol_d
{txt}
{com}.         
.         * pol_exist_d
.         
.         gen pol_exist_d = 0
{txt}
{com}.         replace pol_exist_d = 1 if aptpol_d == 1 | elecpol_ovrsee == 1
{txt}(23 real changes made)

{com}.         replace pol_exist_d = . if asked_survey == 0
{txt}(37 real changes made, 37 to missing)

{com}.         lab val pol_exist_d yesno
{txt}
{com}.         lab var pol_exist_d "1 if we have either an appointed or elected politician"
{txt}
{com}.         
.         fre pol_exist_d
{res}
{txt}pol_exist_d {hline 2} 1 if we have either an appointed or elected politician
{txt}{hline 13}{hline 1}{c TT}{hline 44}
{txt}        {txt}      {c |}      Freq.    Percent      Valid       Cum.
{txt}{hline 13}{hline 1}{c +}{hline 44}
{txt}Valid   0 No  {c |}{res}          1       1.64       4.17       4.17
{txt}        1 Yes {c |}{res}         23      37.70      95.83     100.00
{txt}        Total {c |}{res}         24      39.34     100.00           
{txt}Missing .     {c |}{res}         37      60.66                      
{txt}Total         {c |}{res}         61     100.00                      
{txt}{hline 13}{hline 1}{c BT}{hline 44}

{com}.         order pol_exist_d, after(aptpol_d)
{txt}
{com}.         
.         * title_aptpol
.         
.         lab var title_aptpol "Title of the highest-level appointed politician in unit"
{txt}
{com}.         
.         gen test_title_aptpol = (title_aptpol != "")
{txt}
{com}.         replace test_title_aptpol = . if asked_survey == 0 
{txt}(37 real changes made, 37 to missing)

{com}.         replace test_title_aptpol = . if aptpol_d == 0 | aptpol_d == -98
{txt}(15 real changes made, 15 to missing)

{com}.         fre test_title_aptpol
{res}
{txt}test_title_aptpol
{txt}{hline 9}{hline 1}{c TT}{hline 44}
{txt}        {txt}  {c |}      Freq.    Percent      Valid       Cum.
{txt}{hline 9}{hline 1}{c +}{hline 44}
{txt}Valid   1 {c |}{res}          9      14.75     100.00     100.00
{txt}Missing . {c |}{res}         52      85.25                      
{txt}Total     {c |}{res}         61     100.00                      
{txt}{hline 9}{hline 1}{c BT}{hline 44}

{com}.         assert inlist(test_title_aptpol,.,1)
{txt}
{com}.         
.         drop test_title_aptpol
{txt}
{com}.         
.         * who_aptpol
.         
.         lab var who_aptpol "Who appoints the highest-level appointed politician in unit"
{txt}
{com}.         
.         gen test_who_aptpol = (who_aptpol != "")
{txt}
{com}.         replace test_who_aptpol = . if asked_survey == 0 
{txt}(37 real changes made, 37 to missing)

{com}.         replace test_who_aptpol = . if aptpol_d == 0 | aptpol_d == -98
{txt}(15 real changes made, 15 to missing)

{com}.         fre test_who_aptpol
{res}
{txt}test_who_aptpol
{txt}{hline 9}{hline 1}{c TT}{hline 44}
{txt}        {txt}  {c |}      Freq.    Percent      Valid       Cum.
{txt}{hline 9}{hline 1}{c +}{hline 44}
{txt}Valid   1 {c |}{res}          9      14.75     100.00     100.00
{txt}Missing . {c |}{res}         52      85.25                      
{txt}Total     {c |}{res}         61     100.00                      
{txt}{hline 9}{hline 1}{c BT}{hline 44}

{com}.         assert inlist(test_who_aptpol,.,1)
{txt}
{com}.         
.         drop test_who_aptpol
{txt}
{com}.         
.         * mostinf_servdel
.         
.         lab var mostinf_servdel "More influential in determining quality of service"
{txt}
{com}.         
.         replace mostinf_servdel = "1" if regexm(mostinf_servdel,"Elected much more")
{txt}(5 real changes made)

{com}.         replace mostinf_servdel = "2" if regexm(mostinf_servdel,"Elected slightly more")
{txt}(0 real changes made)

{com}.         replace mostinf_servdel = "3" if regexm(mostinf_servdel,"About the same")
{txt}(1 real change made)

{com}.         replace mostinf_servdel = "4" if regexm(mostinf_servdel,"Appointed slightly more")
{txt}(0 real changes made)

{com}.         replace mostinf_servdel = "5" if regexm(mostinf_servdel,"Appointed much more")
{txt}(3 real changes made)

{com}.         destring mostinf_servdel, replace
{txt}mostinf_servdel: all characters numeric; {res}replaced {txt}as {res}byte
{txt}(52 missing values generated)
{res}{txt}
{com}.         lab def mostinf_servdel 1 "Elected much more influential" 2 "Elected slightly more influential" 3 "About the same" 4 "Appointed slightly more influential" 5 "Appointed much more influential"
{txt}
{com}.         lab val mostinf_servdel mostinf_servdel
{txt}
{com}.         
.         fre mostinf_servdel
{res}
{txt}mostinf_servdel {hline 2} More influential in determining quality of service
{txt}{hline 41}{hline 1}{c TT}{hline 44}
{txt}        {txt}                                  {c |}      Freq.    Percent      Valid       Cum.
{txt}{hline 41}{hline 1}{c +}{hline 44}
{txt}Valid   1 Elected much more influential   {c |}{res}          5       8.20      55.56      55.56
{txt}        3 About the same                  {c |}{res}          1       1.64      11.11      66.67
{txt}        5 Appointed much more influential {c |}{res}          3       4.92      33.33     100.00
{txt}        Total                             {c |}{res}          9      14.75     100.00           
{txt}Missing .                                 {c |}{res}         52      85.25                      
{txt}Total                                     {c |}{res}         61     100.00                      
{txt}{hline 41}{hline 1}{c BT}{hline 44}

{com}.         
.         gen test_mostinf_servdel = (mostinf_servdel != .)
{txt}
{com}.         replace test_mostinf_servdel = . if asked_survey == 0 
{txt}(37 real changes made, 37 to missing)

{com}.         replace test_mostinf_servdel = . if (inlist(aptpol_d,0,-98) | elecpol_ovrsee == 0)
{txt}(15 real changes made, 15 to missing)

{com}.         fre test_mostinf_servdel
{res}
{txt}test_mostinf_servdel
{txt}{hline 9}{hline 1}{c TT}{hline 44}
{txt}        {txt}  {c |}      Freq.    Percent      Valid       Cum.
{txt}{hline 9}{hline 1}{c +}{hline 44}
{txt}Valid   1 {c |}{res}          9      14.75     100.00     100.00
{txt}Missing . {c |}{res}         52      85.25                      
{txt}Total     {c |}{res}         61     100.00                      
{txt}{hline 9}{hline 1}{c BT}{hline 44}

{com}.         assert inlist(test_mostinf_servdel,.,1)
{txt}
{com}.         
.         drop test_mostinf_servdel
{txt}
{com}.         
.         * educ_elecpolbur
.         
.         lab var educ_elecpolbur "More educated bureaucrat or politician (elec. politician)"
{txt}
{com}.         
.         fre educ_elecpolbur
{res}
{txt}educ_elecpolbur {hline 2} More educated bureaucrat or politician (elec. politician)
{txt}{hline 55}{hline 1}{c TT}{hline 44}
{txt}        {txt}                                                {c |}      Freq.    Percent      Valid       Cum.
{txt}{hline 55}{hline 1}{c +}{hline 44}
{txt}Valid   About the same level of education               {c |}{res}          4       6.56      17.39      17.39
{txt}        Bureaucrats much more educated than Politicians {c |}{res}         13      21.31      56.52      73.91
{txt}        Bureaucrats slightly more educated than         {c |}{res}          6       9.84      26.09     100.00
{txt}        Politicians                                     {c |}{res}                                            
{txt}        Total                                           {c |}{res}         23      37.70     100.00           
{txt}Missing                                                 {c |}{res}         38      62.30                      
{txt}Total                                                   {c |}{res}         61     100.00                      
{txt}{hline 55}{hline 1}{c BT}{hline 44}

{com}.         
.         replace educ_elecpolbur = "1" if regexm(educ_elecpolbur,"Bureaucrats much more educated")
{txt}(13 real changes made)

{com}.         replace educ_elecpolbur = "2" if regexm(educ_elecpolbur,"Bureaucrats slightly more educated")
{txt}(6 real changes made)

{com}.         replace educ_elecpolbur = "3" if regexm(educ_elecpolbur,"About the same")
{txt}(4 real changes made)

{com}.         replace educ_elecpolbur = "4" if regexm(educ_elecpolbur,"Politicians slightly more educated")
{txt}(0 real changes made)

{com}.         replace educ_elecpolbur = "5" if regexm(educ_elecpolbur,"Politicians much more educated")
{txt}(0 real changes made)

{com}.         destring educ_elecpolbur, replace
{txt}educ_elecpolbur: all characters numeric; {res}replaced {txt}as {res}byte
{txt}(38 missing values generated)
{res}{txt}
{com}.         lab def educ_elecpolbur 1 "Bureaucrats much more educated" 2 "Bureaucrats slightly more educated" 3 "About the same" 4 "Politicians slightly more educated" 5 "Politicians much more educated"
{txt}
{com}.         lab val educ_elecpolbur educ_elecpolbur
{txt}
{com}.         
.         fre educ_elecpolbur
{res}
{txt}educ_elecpolbur {hline 2} More educated bureaucrat or politician (elec. politician)
{txt}{hline 44}{hline 1}{c TT}{hline 44}
{txt}        {txt}                                     {c |}      Freq.    Percent      Valid       Cum.
{txt}{hline 44}{hline 1}{c +}{hline 44}
{txt}Valid   1 Bureaucrats much more educated     {c |}{res}         13      21.31      56.52      56.52
{txt}        2 Bureaucrats slightly more educated {c |}{res}          6       9.84      26.09      82.61
{txt}        3 About the same                     {c |}{res}          4       6.56      17.39     100.00
{txt}        Total                                {c |}{res}         23      37.70     100.00           
{txt}Missing .                                    {c |}{res}         38      62.30                      
{txt}Total                                        {c |}{res}         61     100.00                      
{txt}{hline 44}{hline 1}{c BT}{hline 44}

{com}.         
.         gen test_educ_elecpolbur = (educ_elecpolbur != .)
{txt}
{com}.         replace test_educ_elecpolbur = . if asked_survey == 0 
{txt}(37 real changes made, 37 to missing)

{com}.         replace test_educ_elecpolbur = . if elecpol_ovrsee == 0
{txt}(1 real change made, 1 to missing)

{com}.         fre test_educ_elecpolbur
{res}
{txt}test_educ_elecpolbur
{txt}{hline 9}{hline 1}{c TT}{hline 44}
{txt}        {txt}  {c |}      Freq.    Percent      Valid       Cum.
{txt}{hline 9}{hline 1}{c +}{hline 44}
{txt}Valid   1 {c |}{res}         23      37.70     100.00     100.00
{txt}Missing . {c |}{res}         38      62.30                      
{txt}Total     {c |}{res}         61     100.00                      
{txt}{hline 9}{hline 1}{c BT}{hline 44}

{com}.         assert inlist(test_educ_elecpolbur,.,1)
{txt}
{com}.         
.         drop test_educ_elecpolbur
{txt}
{com}.         
.         * educ_apolbur
.         
.         lab var educ_apolbur "More educated bureaucrat or politician (app. politician) "
{txt}
{com}.         
.         fre educ_apolbur
{res}
{txt}educ_apolbur {hline 2} More educated bureaucrat or politician (app. politician) 
{txt}{hline 8}{hline 1}{c TT}{hline 44}
{txt}        {txt} {c |}      Freq.    Percent      Valid       Cum.
{txt}{hline 8}{hline 1}{c +}{hline 44}
{txt}Missing  {c |}{res}         61     100.00                      
{txt}{hline 8}{hline 1}{c BT}{hline 44}

{com}.         
.         replace educ_apolbur = "1" if regexm(educ_apolbur,"Bureaucrats much more educated")
{txt}(0 real changes made)

{com}.         replace educ_apolbur = "2" if regexm(educ_apolbur,"Bureaucrats slightly more educated")
{txt}(0 real changes made)

{com}.         replace educ_apolbur = "3" if regexm(educ_apolbur,"About the same")
{txt}(0 real changes made)

{com}.         replace educ_apolbur = "4" if regexm(educ_apolbur,"Politicians slightly more educated")
{txt}(0 real changes made)

{com}.         replace educ_apolbur = "5" if regexm(educ_apolbur,"Politicians much more educated")
{txt}(0 real changes made)

{com}.         destring educ_apolbur, replace
{txt}educ_apolbur: all characters numeric; {res}replaced {txt}as {res}byte
{txt}(61 missing values generated)
{res}{txt}
{com}.         lab def educ_apolbur 1 "Bureaucrats much more educated" 2 "Bureaucrats slightly more educated" 3 "About the same" 4 "Politicians slightly more educated" 5 "Politicians much more educated"
{txt}
{com}.         lab val educ_apolbur educ_apolbur
{txt}
{com}.         
.         fre educ_apolbur
{res}
{txt}educ_apolbur {hline 2} More educated bureaucrat or politician (app. politician) 
{txt}{hline 13}{hline 1}{c TT}{hline 44}
{txt}        {txt}      {c |}      Freq.    Percent      Valid       Cum.
{txt}{hline 13}{hline 1}{c +}{hline 44}
{txt}Missing .     {c |}{res}         61     100.00                      
{txt}{hline 13}{hline 1}{c BT}{hline 44}

{com}.         
.         gen test_educ_apolbur = (educ_apolbur != .)
{txt}
{com}.         replace test_educ_apolbur = . if asked_survey == 0
{txt}(37 real changes made, 37 to missing)

{com}.         replace test_educ_apolbur = . if aptpol_d == 0
{txt}(14 real changes made, 14 to missing)

{com}.         replace test_educ_apolbur = . if elecpol_ovrsee == 1 
{txt}(10 real changes made, 10 to missing)

{com}.         fre test_educ_apolbur
{res}
{txt}test_educ_apolbur
{txt}{hline 9}{hline 1}{c TT}{hline 44}
{txt}        {txt}  {c |}      Freq.    Percent      Valid       Cum.
{txt}{hline 9}{hline 1}{c +}{hline 44}
{txt}Missing . {c |}{res}         61     100.00                      
{txt}{hline 9}{hline 1}{c BT}{hline 44}

{com}.         assert inlist(test_educ_apolbur,.,1)
{txt}
{com}.         
.         drop test_educ_apolbur
{txt}
{com}.         
.         * slry_elecpolbur
.         
.         lab var slry_elecpolbur "Earning more bureaucrat or politician (elec. politician)"
{txt}
{com}.         
.         fre slry_elecpolbur
{res}
{txt}slry_elecpolbur {hline 2} Earning more bureaucrat or politician (elec. politician)
{txt}{hline 55}{hline 1}{c TT}{hline 44}
{txt}        {txt}                                                {c |}      Freq.    Percent      Valid       Cum.
{txt}{hline 55}{hline 1}{c +}{hline 44}
{txt}Valid   Both earn about the same                        {c |}{res}          4       6.56      17.39      17.39
{txt}        Bureaucrats earn much more than Politicians     {c |}{res}          5       8.20      21.74      39.13
{txt}        Bureaucrats earn slightly more than Politicians {c |}{res}          3       4.92      13.04      52.17
{txt}        Politicians earn much more than Bureaucrats     {c |}{res}          6       9.84      26.09      78.26
{txt}        Politicians earn slightly more than Bureaucrats {c |}{res}          5       8.20      21.74     100.00
{txt}        Total                                           {c |}{res}         23      37.70     100.00           
{txt}Missing                                                 {c |}{res}         38      62.30                      
{txt}Total                                                   {c |}{res}         61     100.00                      
{txt}{hline 55}{hline 1}{c BT}{hline 44}

{com}.         
.         replace slry_elecpolbur = "1" if regexm(slry_elecpolbur,"Bureaucrats earn much")
{txt}(5 real changes made)

{com}.         replace slry_elecpolbur = "2" if regexm(slry_elecpolbur,"Bureaucrats earn slightly")
{txt}(3 real changes made)

{com}.         replace slry_elecpolbur = "3" if regexm(slry_elecpolbur,"Both earn")
{txt}(4 real changes made)

{com}.         replace slry_elecpolbur = "4" if regexm(slry_elecpolbur,"Politicians earn slightly")
{txt}(5 real changes made)

{com}.         replace slry_elecpolbur = "5" if regexm(slry_elecpolbur,"Politicians earn much")
{txt}(6 real changes made)

{com}.         destring slry_elecpolbur, replace
{txt}slry_elecpolbur: all characters numeric; {res}replaced {txt}as {res}byte
{txt}(38 missing values generated)
{res}{txt}
{com}.         lab def slry_elecpolbur 1 "Bureaucrats earn much more" 2 "Bureaucrats earn slightly more" 3 "Both earn the same" 4 "Politicians earn slightly" 5 "Politicians earn much more"
{txt}
{com}.         lab val slry_elecpolbur slry_elecpolbur
{txt}
{com}.         
.         fre slry_elecpolbur
{res}
{txt}slry_elecpolbur {hline 2} Earning more bureaucrat or politician (elec. politician)
{txt}{hline 40}{hline 1}{c TT}{hline 44}
{txt}        {txt}                                 {c |}      Freq.    Percent      Valid       Cum.
{txt}{hline 40}{hline 1}{c +}{hline 44}
{txt}Valid   1 Bureaucrats earn much more     {c |}{res}          5       8.20      21.74      21.74
{txt}        2 Bureaucrats earn slightly more {c |}{res}          3       4.92      13.04      34.78
{txt}        3 Both earn the same             {c |}{res}          4       6.56      17.39      52.17
{txt}        4 Politicians earn slightly      {c |}{res}          5       8.20      21.74      73.91
{txt}        5 Politicians earn much more     {c |}{res}          6       9.84      26.09     100.00
{txt}        Total                            {c |}{res}         23      37.70     100.00           
{txt}Missing .                                {c |}{res}         38      62.30                      
{txt}Total                                    {c |}{res}         61     100.00                      
{txt}{hline 40}{hline 1}{c BT}{hline 44}

{com}.         
.         gen test_slry_elecpolbur = (slry_elecpolbur != .)
{txt}
{com}.         replace test_slry_elecpolbur = . if asked_survey == 0 
{txt}(37 real changes made, 37 to missing)

{com}.         replace test_slry_elecpolbur = . if elecpol_ovrsee == 0
{txt}(1 real change made, 1 to missing)

{com}.         fre test_slry_elecpolbur
{res}
{txt}test_slry_elecpolbur
{txt}{hline 9}{hline 1}{c TT}{hline 44}
{txt}        {txt}  {c |}      Freq.    Percent      Valid       Cum.
{txt}{hline 9}{hline 1}{c +}{hline 44}
{txt}Valid   1 {c |}{res}         23      37.70     100.00     100.00
{txt}Missing . {c |}{res}         38      62.30                      
{txt}Total     {c |}{res}         61     100.00                      
{txt}{hline 9}{hline 1}{c BT}{hline 44}

{com}.         assert inlist(test_slry_elecpolbur,.,1)
{txt}
{com}.         
.         drop test_slry_elecpolbur
{txt}
{com}.         
.         * slry_apolbur
.         
.         lab var slry_apolbur "Earning more bureaucrat or politician (app. politician)"
{txt}
{com}.         
.         fre slry_apolbur
{res}
{txt}slry_apolbur {hline 2} Earning more bureaucrat or politician (app. politician)
{txt}{hline 8}{hline 1}{c TT}{hline 44}
{txt}        {txt} {c |}      Freq.    Percent      Valid       Cum.
{txt}{hline 8}{hline 1}{c +}{hline 44}
{txt}Missing  {c |}{res}         61     100.00                      
{txt}{hline 8}{hline 1}{c BT}{hline 44}

{com}.         
.         replace slry_apolbur = "1" if regexm(slry_apolbur,"Bureaucrats earn much")
{txt}(0 real changes made)

{com}.         replace slry_apolbur = "2" if regexm(slry_apolbur,"Bureaucrats earn slightly")
{txt}(0 real changes made)

{com}.         replace slry_apolbur = "3" if regexm(slry_apolbur,"Both earn")
{txt}(0 real changes made)

{com}.         replace slry_apolbur = "4" if regexm(slry_apolbur,"Politicians earn slightly")
{txt}(0 real changes made)

{com}.         replace slry_apolbur = "5" if regexm(slry_apolbur,"Politicians earn much")
{txt}(0 real changes made)

{com}.         destring slry_apolbur, replace
{txt}slry_apolbur: all characters numeric; {res}replaced {txt}as {res}byte
{txt}(61 missing values generated)
{res}{txt}
{com}.         lab def slry_apolbur 1 "Bureaucrats earn much more" 2 "Bureaucrats earn slightly more" 3 "Both earn the same" 4 "Politicians earn slightly" 5 "Politicians earn much more"
{txt}
{com}.         lab val slry_apolbur slry_apolbur
{txt}
{com}.         
.         fre slry_apolbur
{res}
{txt}slry_apolbur {hline 2} Earning more bureaucrat or politician (app. politician)
{txt}{hline 13}{hline 1}{c TT}{hline 44}
{txt}        {txt}      {c |}      Freq.    Percent      Valid       Cum.
{txt}{hline 13}{hline 1}{c +}{hline 44}
{txt}Missing .     {c |}{res}         61     100.00                      
{txt}{hline 13}{hline 1}{c BT}{hline 44}

{com}.         
.         gen test_slry_apolbur = (slry_apolbur != .)
{txt}
{com}.         replace test_slry_apolbur = . if asked_survey == 0
{txt}(37 real changes made, 37 to missing)

{com}.         replace test_slry_apolbur = . if aptpol_d == 0
{txt}(14 real changes made, 14 to missing)

{com}.         replace test_slry_apolbur = . if elecpol_ovrsee == 1 
{txt}(10 real changes made, 10 to missing)

{com}.         fre test_slry_apolbur
{res}
{txt}test_slry_apolbur
{txt}{hline 9}{hline 1}{c TT}{hline 44}
{txt}        {txt}  {c |}      Freq.    Percent      Valid       Cum.
{txt}{hline 9}{hline 1}{c +}{hline 44}
{txt}Missing . {c |}{res}         61     100.00                      
{txt}{hline 9}{hline 1}{c BT}{hline 44}

{com}.         assert inlist(test_slry_apolbur,.,1)
{txt}
{com}.         
.         drop test_slry_apolbur
{txt}
{com}.         
.         * We merge the payment module
.         
.         merge m:1 responseid using "`payment_module'"
{res}
{txt}{col 5}Result{col 38}# of obs.
{col 5}{hline 41}
{col 5}not matched{col 30}{res}               0
{txt}{col 5}matched{col 30}{res}              61{txt}  (_merge==3)
{col 5}{hline 41}

{com}.         drop _merge
{txt}
{com}.         order donate_d org_donation_id paid_status, after(duration_minutes)
{txt}
{com}.         
.         * fdout_epol_bgt
.         
.         lab var fdout_epol_bgt "Easy to find out about envelop (elec. politician)"
{txt}
{com}.         
.         fre fdout_epol_bgt
{res}
{txt}fdout_epol_bgt {hline 2} Easy to find out about envelop (elec. politician)
{txt}{hline 26}{hline 1}{c TT}{hline 44}
{txt}        {txt}                   {c |}      Freq.    Percent      Valid       Cum.
{txt}{hline 26}{hline 1}{c +}{hline 44}
{txt}Valid   Somewhat difficult {c |}{res}          3       4.92      13.04      13.04
{txt}        Somewhat easy      {c |}{res}          6       9.84      26.09      39.13
{txt}        Very easy          {c |}{res}         14      22.95      60.87     100.00
{txt}        Total              {c |}{res}         23      37.70     100.00           
{txt}Missing                    {c |}{res}         38      62.30                      
{txt}Total                      {c |}{res}         61     100.00                      
{txt}{hline 26}{hline 1}{c BT}{hline 44}

{com}.         
.         replace fdout_epol_bgt = "1" if regexm(fdout_epol_bgt,"Very easy")
{txt}(14 real changes made)

{com}.         replace fdout_epol_bgt = "2" if regexm(fdout_epol_bgt,"Somewhat easy")
{txt}(6 real changes made)

{com}.         replace fdout_epol_bgt = "3" if regexm(fdout_epol_bgt,"Somewhat difficult")
{txt}(3 real changes made)

{com}.         replace fdout_epol_bgt = "4" if regexm(fdout_epol_bgt,"Very difficult")
{txt}(0 real changes made)

{com}.         replace fdout_epol_bgt = "5" if regexm(fdout_epol_bgt,"Not applicable")
{txt}(0 real changes made)

{com}.         replace fdout_epol_bgt = "6" if regexm(fdout_epol_bgt,"Do not know")
{txt}(0 real changes made)

{com}.         
.         destring fdout_epol_bgt, replace
{txt}fdout_epol_bgt: all characters numeric; {res}replaced {txt}as {res}byte
{txt}(38 missing values generated)
{res}{txt}
{com}.         lab def fdout_epol_bgt 1 "Very easy" 2 "Somewhat easy" 3 "Somewhat difficult" 4 "Very difficult" 5 "Not applicable, this level of government has no spending power" 6 "Do not know / Refuse to answer"
{txt}
{com}.         lab val fdout_epol_bgt fdout_epol_bgt
{txt}
{com}.         
.         fre fdout_epol_bgt
{res}
{txt}fdout_epol_bgt {hline 2} Easy to find out about envelop (elec. politician)
{txt}{hline 28}{hline 1}{c TT}{hline 44}
{txt}        {txt}                     {c |}      Freq.    Percent      Valid       Cum.
{txt}{hline 28}{hline 1}{c +}{hline 44}
{txt}Valid   1 Very easy          {c |}{res}         14      22.95      60.87      60.87
{txt}        2 Somewhat easy      {c |}{res}          6       9.84      26.09      86.96
{txt}        3 Somewhat difficult {c |}{res}          3       4.92      13.04     100.00
{txt}        Total                {c |}{res}         23      37.70     100.00           
{txt}Missing .                    {c |}{res}         38      62.30                      
{txt}Total                        {c |}{res}         61     100.00                      
{txt}{hline 28}{hline 1}{c BT}{hline 44}

{com}.         
.         gen test_fdout_epol_bgt = (fdout_epol_bgt != .)
{txt}
{com}.         replace test_fdout_epol_bgt = . if asked_survey == 0 
{txt}(37 real changes made, 37 to missing)

{com}.         replace test_fdout_epol_bgt = . if elecpol_ovrsee == 0
{txt}(1 real change made, 1 to missing)

{com}.         fre test_fdout_epol_bgt
{res}
{txt}test_fdout_epol_bgt
{txt}{hline 9}{hline 1}{c TT}{hline 44}
{txt}        {txt}  {c |}      Freq.    Percent      Valid       Cum.
{txt}{hline 9}{hline 1}{c +}{hline 44}
{txt}Valid   1 {c |}{res}         23      37.70     100.00     100.00
{txt}Missing . {c |}{res}         38      62.30                      
{txt}Total     {c |}{res}         61     100.00                      
{txt}{hline 9}{hline 1}{c BT}{hline 44}

{com}.         assert inlist(test_fdout_epol_bgt,.,1)
{txt}
{com}.         
.         drop test_fdout_epol_bgt
{txt}
{com}.         
.         * fdout_apol_bgt
.         
.         lab var fdout_apol_bgt "Easy to find out about envelop (app. politician)"
{txt}
{com}.         
.         fre fdout_apol_bgt
{res}
{txt}fdout_apol_bgt {hline 2} Easy to find out about envelop (app. politician)
{txt}{hline 8}{hline 1}{c TT}{hline 44}
{txt}        {txt} {c |}      Freq.    Percent      Valid       Cum.
{txt}{hline 8}{hline 1}{c +}{hline 44}
{txt}Missing  {c |}{res}         61     100.00                      
{txt}{hline 8}{hline 1}{c BT}{hline 44}

{com}.         
.         replace fdout_apol_bgt = "1" if regexm(fdout_apol_bgt,"Very easy")
{txt}(0 real changes made)

{com}.         replace fdout_apol_bgt = "2" if regexm(fdout_apol_bgt,"Somewhat easy")
{txt}(0 real changes made)

{com}.         replace fdout_apol_bgt = "3" if regexm(fdout_apol_bgt,"Somewhat difficult")
{txt}(0 real changes made)

{com}.         replace fdout_apol_bgt = "4" if regexm(fdout_apol_bgt,"Very difficult")
{txt}(0 real changes made)

{com}.         replace fdout_apol_bgt = "5" if regexm(fdout_apol_bgt,"Not applicable")
{txt}(0 real changes made)

{com}.         replace fdout_apol_bgt = "6" if regexm(fdout_apol_bgt,"Do not know")
{txt}(0 real changes made)

{com}.         
.         destring fdout_apol_bgt, replace
{txt}fdout_apol_bgt: all characters numeric; {res}replaced {txt}as {res}byte
{txt}(61 missing values generated)
{res}{txt}
{com}.         lab def fdout_apol_bgt 1 "Very easy" 2 "Somewhat easy" 3 "Somewhat difficult" 4 "Very difficult" 5 "Not applicable, this level of government has no spending power" 6 "Do not know / Refuse to answer"
{txt}
{com}.         lab val fdout_apol_bgt fdout_apol_bgt
{txt}
{com}.         
.         fre fdout_apol_bgt
{res}
{txt}fdout_apol_bgt {hline 2} Easy to find out about envelop (app. politician)
{txt}{hline 13}{hline 1}{c TT}{hline 44}
{txt}        {txt}      {c |}      Freq.    Percent      Valid       Cum.
{txt}{hline 13}{hline 1}{c +}{hline 44}
{txt}Missing .     {c |}{res}         61     100.00                      
{txt}{hline 13}{hline 1}{c BT}{hline 44}

{com}.         
.         gen test_fdout_apol_bgt = (fdout_apol_bgt != .)
{txt}
{com}.         replace test_fdout_apol_bgt = . if asked_survey == 0
{txt}(37 real changes made, 37 to missing)

{com}.         replace test_fdout_apol_bgt = . if aptpol_d == 0
{txt}(14 real changes made, 14 to missing)

{com}.         replace test_fdout_apol_bgt = . if elecpol_ovrsee == 1 
{txt}(10 real changes made, 10 to missing)

{com}.         fre test_fdout_apol_bgt
{res}
{txt}test_fdout_apol_bgt
{txt}{hline 9}{hline 1}{c TT}{hline 44}
{txt}        {txt}  {c |}      Freq.    Percent      Valid       Cum.
{txt}{hline 9}{hline 1}{c +}{hline 44}
{txt}Missing . {c |}{res}         61     100.00                      
{txt}{hline 9}{hline 1}{c BT}{hline 44}

{com}.         assert inlist(test_fdout_apol_bgt,.,1)
{txt}
{com}.         
.         drop test_fdout_apol_bgt
{txt}
{com}.         
.         * budsect_epol
.         
.         lab var budsect_epol "Find about budget allocation to sectors (elec. politician)"
{txt}
{com}.         
.         fre budsect_epol
{res}
{txt}budsect_epol {hline 2} Find about budget allocation to sectors (elec. politician)
{txt}{hline 26}{hline 1}{c TT}{hline 44}
{txt}        {txt}                   {c |}      Freq.    Percent      Valid       Cum.
{txt}{hline 26}{hline 1}{c +}{hline 44}
{txt}Valid   Somewhat difficult {c |}{res}          2       3.28       8.70       8.70
{txt}        Somewhat easy      {c |}{res}          4       6.56      17.39      26.09
{txt}        Very difficult     {c |}{res}          1       1.64       4.35      30.43
{txt}        Very easy          {c |}{res}          9      14.75      39.13      69.57
{txt}        Somewhat easy      {c |}{res}          1       1.64       4.35      73.91
{txt}        Very easy          {c |}{res}          6       9.84      26.09     100.00
{txt}        Total              {c |}{res}         23      37.70     100.00           
{txt}Missing                    {c |}{res}         38      62.30                      
{txt}Total                      {c |}{res}         61     100.00                      
{txt}{hline 26}{hline 1}{c BT}{hline 44}

{com}.         
.         replace budsect_epol = "1" if regexm(budsect_epol,"Very easy")
{txt}(15 real changes made)

{com}.         replace budsect_epol = "2" if regexm(budsect_epol,"Somewhat easy")
{txt}(5 real changes made)

{com}.         replace budsect_epol = "3" if regexm(budsect_epol,"Somewhat difficult")
{txt}(2 real changes made)

{com}.         replace budsect_epol = "4" if regexm(budsect_epol,"Very difficult")
{txt}(1 real change made)

{com}.         replace budsect_epol = "5" if regexm(budsect_epol,"Not applicable")
{txt}(0 real changes made)

{com}.         replace budsect_epol = "6" if regexm(budsect_epol,"Do not know")
{txt}(0 real changes made)

{com}.         
.         destring budsect_epol, replace
{txt}budsect_epol: all characters numeric; {res}replaced {txt}as {res}byte
{txt}(38 missing values generated)
{res}{txt}
{com}.         lab def budsect_epol 1 "Very easy" 2 "Somewhat easy" 3 "Somewhat difficult" 4 "Very difficult" 5 "Not applicable, this level of government has no spending power" 6 "Do not know / Refuse to answer"
{txt}
{com}.         lab val budsect_epol budsect_epol
{txt}
{com}.         
.         fre budsect_epol
{res}
{txt}budsect_epol {hline 2} Find about budget allocation to sectors (elec. politician)
{txt}{hline 28}{hline 1}{c TT}{hline 44}
{txt}        {txt}                     {c |}      Freq.    Percent      Valid       Cum.
{txt}{hline 28}{hline 1}{c +}{hline 44}
{txt}Valid   1 Very easy          {c |}{res}         15      24.59      65.22      65.22
{txt}        2 Somewhat easy      {c |}{res}          5       8.20      21.74      86.96
{txt}        3 Somewhat difficult {c |}{res}          2       3.28       8.70      95.65
{txt}        4 Very difficult     {c |}{res}          1       1.64       4.35     100.00
{txt}        Total                {c |}{res}         23      37.70     100.00           
{txt}Missing .                    {c |}{res}         38      62.30                      
{txt}Total                        {c |}{res}         61     100.00                      
{txt}{hline 28}{hline 1}{c BT}{hline 44}

{com}.         
.         gen test_budsect_epol = (budsect_epol != .)
{txt}
{com}.         replace test_budsect_epol = . if asked_survey == 0 
{txt}(37 real changes made, 37 to missing)

{com}.         replace test_budsect_epol = . if elecpol_ovrsee == 0
{txt}(1 real change made, 1 to missing)

{com}.         fre test_budsect_epol
{res}
{txt}test_budsect_epol
{txt}{hline 9}{hline 1}{c TT}{hline 44}
{txt}        {txt}  {c |}      Freq.    Percent      Valid       Cum.
{txt}{hline 9}{hline 1}{c +}{hline 44}
{txt}Valid   1 {c |}{res}         23      37.70     100.00     100.00
{txt}Missing . {c |}{res}         38      62.30                      
{txt}Total     {c |}{res}         61     100.00                      
{txt}{hline 9}{hline 1}{c BT}{hline 44}

{com}.         assert inlist(test_budsect_epol,.,1)
{txt}
{com}.         
.         drop test_budsect_epol
{txt}
{com}.         
.         * budsect_apol
.         
.         lab var budsect_apol "Find about budget allocation to sectors (app. politician)"
{txt}
{com}.         
.         fre budsect_apol
{res}
{txt}budsect_apol {hline 2} Find about budget allocation to sectors (app. politician)
{txt}{hline 8}{hline 1}{c TT}{hline 44}
{txt}        {txt} {c |}      Freq.    Percent      Valid       Cum.
{txt}{hline 8}{hline 1}{c +}{hline 44}
{txt}Missing  {c |}{res}         61     100.00                      
{txt}{hline 8}{hline 1}{c BT}{hline 44}

{com}.         
.         replace budsect_apol = "1" if regexm(budsect_apol,"Very easy")
{txt}(0 real changes made)

{com}.         replace budsect_apol = "2" if regexm(budsect_apol,"Somewhat easy")
{txt}(0 real changes made)

{com}.         replace budsect_apol = "3" if regexm(budsect_apol,"Somewhat difficult")
{txt}(0 real changes made)

{com}.         replace budsect_apol = "4" if regexm(budsect_apol,"Very difficult")
{txt}(0 real changes made)

{com}.         replace budsect_apol = "5" if regexm(budsect_apol,"Not applicable")
{txt}(0 real changes made)

{com}.         replace budsect_apol = "6" if regexm(budsect_apol,"Do not know")
{txt}(0 real changes made)

{com}.         
.         destring budsect_apol, replace
{txt}budsect_apol: all characters numeric; {res}replaced {txt}as {res}byte
{txt}(61 missing values generated)
{res}{txt}
{com}.         lab def budsect_apol 1 "Very easy" 2 "Somewhat easy" 3 "Somewhat difficult" 4 "Very difficult" 5 "Not applicable, this level of government has no spending power" 6 "Do not know / Refuse to answer"
{txt}
{com}.         lab val budsect_apol budsect_apol
{txt}
{com}.         
.         fre budsect_apol
{res}
{txt}budsect_apol {hline 2} Find about budget allocation to sectors (app. politician)
{txt}{hline 13}{hline 1}{c TT}{hline 44}
{txt}        {txt}      {c |}      Freq.    Percent      Valid       Cum.
{txt}{hline 13}{hline 1}{c +}{hline 44}
{txt}Missing .     {c |}{res}         61     100.00                      
{txt}{hline 13}{hline 1}{c BT}{hline 44}

{com}.         
.         gen test_budsect_apol = (budsect_apol != .)
{txt}
{com}.         replace test_budsect_apol = . if asked_survey == 0
{txt}(37 real changes made, 37 to missing)

{com}.         replace test_budsect_apol = . if aptpol_d == 0
{txt}(14 real changes made, 14 to missing)

{com}.         replace test_budsect_apol = . if elecpol_ovrsee == 1 
{txt}(10 real changes made, 10 to missing)

{com}.         fre test_budsect_apol
{res}
{txt}test_budsect_apol
{txt}{hline 9}{hline 1}{c TT}{hline 44}
{txt}        {txt}  {c |}      Freq.    Percent      Valid       Cum.
{txt}{hline 9}{hline 1}{c +}{hline 44}
{txt}Missing . {c |}{res}         61     100.00                      
{txt}{hline 9}{hline 1}{c BT}{hline 44}

{com}.         assert inlist(test_budsect_apol,.,1)
{txt}
{com}.         
.         drop test_budsect_apol
{txt}
{com}.         
.         * acinfexp_epol
.         
.         lab var acinfexp_epol "Obtain detailed info about expenditures (elec. politician)"
{txt}
{com}.         
.         fre acinfexp_epol
{res}
{txt}acinfexp_epol {hline 2} Obtain detailed info about expenditures (elec. politician)
{txt}{hline 26}{hline 1}{c TT}{hline 44}
{txt}        {txt}                   {c |}      Freq.    Percent      Valid       Cum.
{txt}{hline 26}{hline 1}{c +}{hline 44}
{txt}Valid   Somewhat difficult {c |}{res}          5       8.20      21.74      21.74
{txt}        Somewhat easy      {c |}{res}          3       4.92      13.04      34.78
{txt}        Very difficult     {c |}{res}          1       1.64       4.35      39.13
{txt}        Very easy          {c |}{res}         14      22.95      60.87     100.00
{txt}        Total              {c |}{res}         23      37.70     100.00           
{txt}Missing                    {c |}{res}         38      62.30                      
{txt}Total                      {c |}{res}         61     100.00                      
{txt}{hline 26}{hline 1}{c BT}{hline 44}

{com}.         
.         replace acinfexp_epol = "1" if regexm(acinfexp_epol,"Very easy")
{txt}(14 real changes made)

{com}.         replace acinfexp_epol = "2" if regexm(acinfexp_epol,"Somewhat easy")
{txt}(3 real changes made)

{com}.         replace acinfexp_epol = "3" if regexm(acinfexp_epol,"Somewhat difficult")
{txt}(5 real changes made)

{com}.         replace acinfexp_epol = "4" if regexm(acinfexp_epol,"Very difficult")
{txt}(1 real change made)

{com}.         replace acinfexp_epol = "5" if regexm(acinfexp_epol,"Not applicable")
{txt}(0 real changes made)

{com}.         replace acinfexp_epol = "6" if regexm(acinfexp_epol,"Do not know")
{txt}(0 real changes made)

{com}.         
.         destring acinfexp_epol, replace
{txt}acinfexp_epol: all characters numeric; {res}replaced {txt}as {res}byte
{txt}(38 missing values generated)
{res}{txt}
{com}.         lab def acinfexp_epol 1 "Very easy" 2 "Somewhat easy" 3 "Somewhat difficult" 4 "Very difficult" 5 "Not applicable, this level of government has no spending power" 6 "Do not know / Refuse to answer"
{txt}
{com}.         lab val acinfexp_epol acinfexp_epol
{txt}
{com}.         
.         fre acinfexp_epol
{res}
{txt}acinfexp_epol {hline 2} Obtain detailed info about expenditures (elec. politician)
{txt}{hline 28}{hline 1}{c TT}{hline 44}
{txt}        {txt}                     {c |}      Freq.    Percent      Valid       Cum.
{txt}{hline 28}{hline 1}{c +}{hline 44}
{txt}Valid   1 Very easy          {c |}{res}         14      22.95      60.87      60.87
{txt}        2 Somewhat easy      {c |}{res}          3       4.92      13.04      73.91
{txt}        3 Somewhat difficult {c |}{res}          5       8.20      21.74      95.65
{txt}        4 Very difficult     {c |}{res}          1       1.64       4.35     100.00
{txt}        Total                {c |}{res}         23      37.70     100.00           
{txt}Missing .                    {c |}{res}         38      62.30                      
{txt}Total                        {c |}{res}         61     100.00                      
{txt}{hline 28}{hline 1}{c BT}{hline 44}

{com}.         
.         gen test_acinfexp_epol = (acinfexp_epol != .)
{txt}
{com}.         replace test_acinfexp_epol = . if asked_survey == 0 
{txt}(37 real changes made, 37 to missing)

{com}.         replace test_acinfexp_epol = . if elecpol_ovrsee == 0
{txt}(1 real change made, 1 to missing)

{com}.         fre test_acinfexp_epol
{res}
{txt}test_acinfexp_epol
{txt}{hline 9}{hline 1}{c TT}{hline 44}
{txt}        {txt}  {c |}      Freq.    Percent      Valid       Cum.
{txt}{hline 9}{hline 1}{c +}{hline 44}
{txt}Valid   1 {c |}{res}         23      37.70     100.00     100.00
{txt}Missing . {c |}{res}         38      62.30                      
{txt}Total     {c |}{res}         61     100.00                      
{txt}{hline 9}{hline 1}{c BT}{hline 44}

{com}.         assert inlist(test_acinfexp_epol,.,1)
{txt}
{com}.         
.         drop test_acinfexp_epol
{txt}
{com}.         
.         * acinfexp_apol
.         
.         lab var acinfexp_apol "Obtain detailed info about expenditures (app. politician)"
{txt}
{com}.         
.         fre acinfexp_apol
{res}
{txt}acinfexp_apol {hline 2} Obtain detailed info about expenditures (app. politician)
{txt}{hline 8}{hline 1}{c TT}{hline 44}
{txt}        {txt} {c |}      Freq.    Percent      Valid       Cum.
{txt}{hline 8}{hline 1}{c +}{hline 44}
{txt}Missing  {c |}{res}         61     100.00                      
{txt}{hline 8}{hline 1}{c BT}{hline 44}

{com}.         
.         replace acinfexp_apol = "1" if regexm(acinfexp_apol,"Very easy")
{txt}(0 real changes made)

{com}.         replace acinfexp_apol = "2" if regexm(acinfexp_apol,"Somewhat easy")
{txt}(0 real changes made)

{com}.         replace acinfexp_apol = "3" if regexm(acinfexp_apol,"Somewhat difficult")
{txt}(0 real changes made)

{com}.         replace acinfexp_apol = "4" if regexm(acinfexp_apol,"Very difficult")
{txt}(0 real changes made)

{com}.         replace acinfexp_apol = "5" if regexm(acinfexp_apol,"Not applicable")
{txt}(0 real changes made)

{com}.         replace acinfexp_apol = "6" if regexm(acinfexp_apol,"Do not know")
{txt}(0 real changes made)

{com}.         
.         destring acinfexp_apol, replace
{txt}acinfexp_apol: all characters numeric; {res}replaced {txt}as {res}byte
{txt}(61 missing values generated)
{res}{txt}
{com}.         lab def acinfexp_apol 1 "Very easy" 2 "Somewhat easy" 3 "Somewhat difficult" 4 "Very difficult" 5 "Not applicable, this level of government has no spending power" 6 "Do not know / Refuse to answer"
{txt}
{com}.         lab val acinfexp_apol acinfexp_apol
{txt}
{com}.         
.         fre acinfexp_apol
{res}
{txt}acinfexp_apol {hline 2} Obtain detailed info about expenditures (app. politician)
{txt}{hline 13}{hline 1}{c TT}{hline 44}
{txt}        {txt}      {c |}      Freq.    Percent      Valid       Cum.
{txt}{hline 13}{hline 1}{c +}{hline 44}
{txt}Missing .     {c |}{res}         61     100.00                      
{txt}{hline 13}{hline 1}{c BT}{hline 44}

{com}.         
.         gen test_acinfexp_apol = (acinfexp_apol != .)
{txt}
{com}.         replace test_acinfexp_apol = . if asked_survey == 0
{txt}(37 real changes made, 37 to missing)

{com}.         replace test_acinfexp_apol = . if aptpol_d == 0
{txt}(14 real changes made, 14 to missing)

{com}.         replace test_acinfexp_apol = . if elecpol_ovrsee == 1 
{txt}(10 real changes made, 10 to missing)

{com}.         fre test_acinfexp_apol
{res}
{txt}test_acinfexp_apol
{txt}{hline 9}{hline 1}{c TT}{hline 44}
{txt}        {txt}  {c |}      Freq.    Percent      Valid       Cum.
{txt}{hline 9}{hline 1}{c +}{hline 44}
{txt}Missing . {c |}{res}         61     100.00                      
{txt}{hline 9}{hline 1}{c BT}{hline 44}

{com}.         assert inlist(test_acinfexp_apol,.,1)
{txt}
{com}.         
.         drop test_acinfexp_apol
{txt}
{com}.         
.         * understand_epol
.         
.         lab var understand_epol "Has capacity to read/understand budget (elec. politician)"
{txt}
{com}.         
.         fre understand_epol
{res}
{txt}understand_epol {hline 2} Has capacity to read/understand budget (elec. politician)
{txt}{hline 28}{hline 1}{c TT}{hline 44}
{txt}        {txt}                     {c |}      Freq.    Percent      Valid       Cum.
{txt}{hline 28}{hline 1}{c +}{hline 44}
{txt}Valid   Definitely capable   {c |}{res}          1       1.64       5.26       5.26
{txt}        Only with difficulty {c |}{res}          2       3.28      10.53      15.79
{txt}        Somewhat capable     {c |}{res}          9      14.75      47.37      63.16
{txt}        Definitely capable   {c |}{res}          2       3.28      10.53      73.68
{txt}        Only with difficulty {c |}{res}          1       1.64       5.26      78.95
{txt}        Somewhat capable     {c |}{res}          4       6.56      21.05     100.00
{txt}        Total                {c |}{res}         19      31.15     100.00           
{txt}Missing                      {c |}{res}         42      68.85                      
{txt}Total                        {c |}{res}         61     100.00                      
{txt}{hline 28}{hline 1}{c BT}{hline 44}

{com}.         
.         replace understand_epol = "1" if regexm(understand_epol,"Definitely capable")
{txt}(3 real changes made)

{com}.         replace understand_epol = "2" if regexm(understand_epol,"Somewhat capable")
{txt}(13 real changes made)

{com}.         replace understand_epol = "3" if regexm(understand_epol,"Only with difficulty")
{txt}(3 real changes made)

{com}.         replace understand_epol = "4" if regexm(understand_epol,"Not capable")
{txt}(0 real changes made)

{com}.         replace understand_epol = "5" if regexm(understand_epol,"Do not know")
{txt}(0 real changes made)

{com}.         
.         fre understand_epol
{res}
{txt}understand_epol {hline 2} Has capacity to read/understand budget (elec. politician)
{txt}{hline 13}{hline 1}{c TT}{hline 44}
{txt}        {txt}      {c |}      Freq.    Percent      Valid       Cum.
{txt}{hline 13}{hline 1}{c +}{hline 44}
{txt}Valid   1     {c |}{res}          3       4.92      15.79      15.79
{txt}        2     {c |}{res}         13      21.31      68.42      84.21
{txt}        3     {c |}{res}          3       4.92      15.79     100.00
{txt}        Total {c |}{res}         19      31.15     100.00           
{txt}Missing       {c |}{res}         42      68.85                      
{txt}Total         {c |}{res}         61     100.00                      
{txt}{hline 13}{hline 1}{c BT}{hline 44}

{com}.         
.         destring understand_epol, replace
{txt}understand_epol: all characters numeric; {res}replaced {txt}as {res}byte
{txt}(42 missing values generated)
{res}{txt}
{com}.         lab def understand_epol 1 "Definitely capable" 2 "Somewhat capable" 3 "Only with difficulty" 4 "Not capable" 5 "Do not know / Refuse to answer"
{txt}
{com}.         lab val understand_epol understand_epol
{txt}
{com}.         
.         fre understand_epol
{res}
{txt}understand_epol {hline 2} Has capacity to read/understand budget (elec. politician)
{txt}{hline 30}{hline 1}{c TT}{hline 44}
{txt}        {txt}                       {c |}      Freq.    Percent      Valid       Cum.
{txt}{hline 30}{hline 1}{c +}{hline 44}
{txt}Valid   1 Definitely capable   {c |}{res}          3       4.92      15.79      15.79
{txt}        2 Somewhat capable     {c |}{res}         13      21.31      68.42      84.21
{txt}        3 Only with difficulty {c |}{res}          3       4.92      15.79     100.00
{txt}        Total                  {c |}{res}         19      31.15     100.00           
{txt}Missing .                      {c |}{res}         42      68.85                      
{txt}Total                          {c |}{res}         61     100.00                      
{txt}{hline 30}{hline 1}{c BT}{hline 44}

{com}.         
.         gen test_understand_epol = (understand_epol != .)
{txt}
{com}.         replace test_understand_epol = . if asked_survey == 0 
{txt}(37 real changes made, 37 to missing)

{com}.         replace test_understand_epol = . if elecpol_ovrsee == 0
{txt}(1 real change made, 1 to missing)

{com}.         fre test_understand_epol
{res}
{txt}test_understand_epol
{txt}{hline 13}{hline 1}{c TT}{hline 44}
{txt}        {txt}      {c |}      Freq.    Percent      Valid       Cum.
{txt}{hline 13}{hline 1}{c +}{hline 44}
{txt}Valid   0     {c |}{res}          4       6.56      17.39      17.39
{txt}        1     {c |}{res}         19      31.15      82.61     100.00
{txt}        Total {c |}{res}         23      37.70     100.00           
{txt}Missing .     {c |}{res}         38      62.30                      
{txt}Total         {c |}{res}         61     100.00                      
{txt}{hline 13}{hline 1}{c BT}{hline 44}

{com}.         *assert inlist(test_understand_epol,.,1)
.         
.         *drop test_understand_epol
.         
.         * understand_apol
.         
.         lab var understand_apol "Has capacity to read/understand budget (app. politician)"
{txt}
{com}.         
.         fre understand_apol
{res}
{txt}understand_apol {hline 2} Has capacity to read/understand budget (app. politician)
{txt}{hline 28}{hline 1}{c TT}{hline 44}
{txt}        {txt}                     {c |}      Freq.    Percent      Valid       Cum.
{txt}{hline 28}{hline 1}{c +}{hline 44}
{txt}Valid   Definitely capable   {c |}{res}          1       1.64      50.00      50.00
{txt}        Only with difficulty {c |}{res}          1       1.64      50.00     100.00
{txt}        Total                {c |}{res}          2       3.28     100.00           
{txt}Missing                      {c |}{res}         59      96.72                      
{txt}Total                        {c |}{res}         61     100.00                      
{txt}{hline 28}{hline 1}{c BT}{hline 44}

{com}.         
.         replace understand_apol = "1" if regexm(understand_apol,"Definitely capable")
{txt}(1 real change made)

{com}.         replace understand_apol = "2" if regexm(understand_apol,"Somewhat capable")
{txt}(0 real changes made)

{com}.         replace understand_apol = "3" if regexm(understand_apol,"Only with difficulty")
{txt}(1 real change made)

{com}.         replace understand_apol = "4" if regexm(understand_apol,"Not capable")
{txt}(0 real changes made)

{com}.         replace understand_apol = "5" if regexm(understand_apol,"Do not know")
{txt}(0 real changes made)

{com}.         
.         destring understand_apol, replace
{txt}understand_apol: all characters numeric; {res}replaced {txt}as {res}byte
{txt}(59 missing values generated)
{res}{txt}
{com}.         lab def understand_apol 1 "Definitely capable" 2 "Somewhat capable" 3 "Only with difficulty" 4 "Not capable" 5 "Do not know / Refuse to answer"
{txt}
{com}.         lab val understand_apol understand_apol
{txt}
{com}.         
.         fre understand_apol
{res}
{txt}understand_apol {hline 2} Has capacity to read/understand budget (app. politician)
{txt}{hline 30}{hline 1}{c TT}{hline 44}
{txt}        {txt}                       {c |}      Freq.    Percent      Valid       Cum.
{txt}{hline 30}{hline 1}{c +}{hline 44}
{txt}Valid   1 Definitely capable   {c |}{res}          1       1.64      50.00      50.00
{txt}        3 Only with difficulty {c |}{res}          1       1.64      50.00     100.00
{txt}        Total                  {c |}{res}          2       3.28     100.00           
{txt}Missing .                      {c |}{res}         59      96.72                      
{txt}Total                          {c |}{res}         61     100.00                      
{txt}{hline 30}{hline 1}{c BT}{hline 44}

{com}.         
.         gen test_understand_apol = (understand_apol != .)
{txt}
{com}.         replace test_understand_apol = . if asked_survey == 0
{txt}(37 real changes made, 37 to missing)

{com}.         replace test_understand_apol = . if aptpol_d == 0
{txt}(14 real changes made, 14 to missing)

{com}.         replace test_understand_apol = . if elecpol_ovrsee == 1 
{txt}(10 real changes made, 10 to missing)

{com}.         fre test_understand_apol
{res}
{txt}test_understand_apol
{txt}{hline 9}{hline 1}{c TT}{hline 44}
{txt}        {txt}  {c |}      Freq.    Percent      Valid       Cum.
{txt}{hline 9}{hline 1}{c +}{hline 44}
{txt}Missing . {c |}{res}         61     100.00                      
{txt}{hline 9}{hline 1}{c BT}{hline 44}

{com}.         assert inlist(test_understand_apol,.,1)
{txt}
{com}.         
.         drop test_understand_apol
{txt}
{com}.         
.         * acttake_epol
.         
.         lab var acttake_epol "Elec. pol not satisfied with head bureaucrat, which action"
{txt}
{com}.         fre acttake_epol
{res}
{txt}acttake_epol {hline 2} Elec. pol not satisfied with head bureaucrat, which action
{txt}{hline 58}{hline 1}{c TT}{hline 44}
{txt}        {txt}                                                   {c |}      Freq.    Percent      Valid       Cum.
{txt}{hline 58}{hline 1}{c +}{hline 44}
{txt}Valid   Complain to the ministry / higher-up bureaucrats   {c |}{res}          2       3.28       8.70       8.70
{txt}        Complain to the ministry / higher-up               {c |}{res}          1       1.64       4.35      13.04
{txt}        bureaucrats,Complain to higher-level politicians   {c |}{res}                                            
{txt}        Issue a formal warning                             {c |}{res}          1       1.64       4.35      17.39
{txt}        Issue a formal warning,Complain to the ministry /  {c |}{res}          2       3.28       8.70      26.09
{txt}        higher-up bureaucrats,Complain to higher-level     {c |}{res}                                            
{txt}        politicians                                        {c |}{res}                                            
{txt}        Other (please specify)                             {c |}{res}          2       3.28       8.70      34.78
{txt}        Request a transfer with high probability of        {c |}{res}          2       3.28       8.70      43.48
{txt}        success                                            {c |}{res}                                            
{txt}        Request a transfer with high probability of        {c |}{res}          1       1.64       4.35      47.83
{txt}        success,Issue a formal warning,Complain to the     {c |}{res}                                            
{txt}        ministry / higher-up bureaucrats                   {c |}{res}                                            
{txt}        Request a transfer with low probability of success {c |}{res}          1       1.64       4.35      52.17
{txt}        Request a transfer with low probability of         {c |}{res}          1       1.64       4.35      56.52
{txt}        success,Complain to the ministry / higher-up       {c |}{res}                                            
{txt}        bureaucrats,Bring the issue to the attention of    {c |}{res}                                            
{txt}        the media,Mobilize citizens                        {c |}{res}                                            
{txt}        Request a transfer with medium probability of      {c |}{res}          2       3.28       8.70      65.22
{txt}        success                                            {c |}{res}                                            
{txt}        Request a transfer with medium probability of      {c |}{res}          1       1.64       4.35      69.57
{txt}        success,Issue a formal warning,Complain to the     {c |}{res}                                            
{txt}        ministry / higher-up bureaucrats,Complain to       {c |}{res}                                            
{txt}        higher-level politicians                           {c |}{res}                                            
{txt}        Terminate contract/fire bureaucrat                 {c |}{res}          1       1.64       4.35      73.91
{txt}        Terminate contract/fire bureaucrat,Transfer the    {c |}{res}          3       4.92      13.04      86.96
{txt}        bureaucrat,Issue a formal warning,Bring the issue  {c |}{res}                                            
{txt}        to the attention of the media                      {c |}{res}                                            
{txt}        Transfer the bureaucrat                            {c |}{res}          1       1.64       4.35      91.30
{txt}        Transfer the bureaucrat,Other (please specify)     {c |}{res}          2       3.28       8.70     100.00
{txt}        Total                                              {c |}{res}         23      37.70     100.00           
{txt}Missing                                                    {c |}{res}         38      62.30                      
{txt}Total                                                      {c |}{res}         61     100.00                      
{txt}{hline 58}{hline 1}{c BT}{hline 44}

{com}.         
.         e

{txt}end of do-file


{com}. do "/var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//SD44938.000000"
{txt}
{com}. 
.         * Purpose: Importing data to run HFC
.         
.         * Setting up globals
.         
.         if "`c(username)'" == "fredericcochinard" {c -(}
.                 
.                 global import_folder "/Users/fredericcochinard/Dropbox/Expert survey/Data/0.survey_dataset/0.import"
.                 global output "/Users/fredericcochinard/Dropbox/Expert survey/Data/0.survey_dataset/1.output"
.                 
.                 {c )-}
{txt}
{com}.                 
.         if "`c(username)'" == "" {c -(}
.         
.                 
.                 {c )-}
{txt}
{com}.         
.         * Looking for renaming folder with problem
.         
.         local myfiles: dir "$import_folder" files "*.xlsx"
{txt}
{com}. 
.         foreach file of local myfiles {c -(}
{txt}  2{com}.                 
.                 local subfile = substr("`file'", 1, .)
{txt}  3{com}.                 local subfile : subinstr local subfile " " "_", all
{txt}  4{com}.                 ! mv "${c -(}import_folder{c )-}/`file'" "${c -(}import_folder{c )-}/`subfile'"
{txt}  5{com}.                 
.                 {c )-}
{txt}

{com}.         
.         * Looking for dataset
.         
.         filelist , dir("$import_folder") pat("*.xlsx")
{res}{txt}Number of files found = {res}1
{txt}
{com}.         
.         gen url = filename
{txt}
{com}.         
.         levelsof url
{txt}`"Expert_survey_February_18,_2025_16.23.xlsx"'

{com}. 
.         local lvlfiles `r(levels)'
{txt}
{com}.         
.         local z = 0
{txt}
{com}.         
.         foreach lvl of local lvlfiles {c -(}
{txt}  2{com}.         
.                 local z = `z' + 1
{txt}  3{com}.                 
.                 local temp : subinstr local lvl `"""' "", all
{txt}  4{com}.                 local url : subinstr local temp "'" "", all
{txt}  5{com}.         
.                 import excel "${c -(}import_folder{c )-}/`url'", first case(lower) clear
{txt}  6{com}.                 
.                 gen num = _n
{txt}  7{com}.                 drop if num == 1
{txt}  8{com}.                 
.                 * Preparing the append
.                 
.                 tempfile data`z'
{txt}  9{com}.                 sa "`data`z''"
{txt} 10{com}.                 
.                 {c )-}
{res}{txt}(1 observation deleted)
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.000001 saved

{com}.                 
.         * We append the dataset to start cleaning
.         
.         use "`data1'", clear
{txt}
{com}.         
.         forvalues x = 2/`z' {c -(}
{txt}  2{com}.         
.                 append using "`data`x''"
{txt}  3{com}.                 
.                 {c )-}
{txt}
{com}.                 
.         duplicates drop

{p 0 4}{txt}Duplicates in terms of {txt} all variables{p_end}

(0 observations are duplicates)

{com}.         
.         * We keep relevant variable
.         drop if recipientemail == "frederic.cochinard@gmail.com"
{txt}(8 observations deleted)

{com}.         drop if recipientemail == "vedpant+spanish@college.harvard.edu"
{txt}(1 observation deleted)

{com}.         drop if recipientemail == "frederic.cochinard+3@gmail.com"
{txt}(1 observation deleted)

{com}.         drop if recipientemail == "frederic.cochinard+1@gmail.com"
{txt}(1 observation deleted)

{com}.         
.         * We remove observation that are not finished
.         drop if finished == "False"
{txt}(9 observations deleted)

{com}.         
.         * We create a save
.         
.         tempfile save_data
{txt}
{com}.         sa "`save_data'"
{txt}file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.000002 saved

{com}.         
.         ******************
.         * Payment module *
.         ******************
.         
.         preserve
{txt}
{com}.         
.         keep responseid method_pay_bank_in_q-q977
{txt}
{com}.         compress
  {txt}variable {bf}method_pay_bank_in_q{sf} was {bf}{res}str237{sf}{txt} now {bf}{res}str24{sf}
  {txt}variable {bf}expert_donation_org{sf} was {bf}{res}str129{sf}{txt} now {bf}{res}str23{sf}
  {txt}variable {bf}q967{sf} was {bf}{res}str236{sf}{txt} now {bf}{res}str65{sf}
  {txt}variable {bf}q978{sf} was {bf}{res}str326{sf}{txt} now {bf}{res}str16{sf}
  {txt}variable {bf}q979{sf} was {bf}{res}str104{sf}{txt} now {bf}{res}str39{sf}
  {txt}variable {bf}q980{sf} was {bf}{res}str95{sf}{txt} now {bf}{res}str11{sf}
  {txt}variable {bf}q987{sf} was {bf}{res}str170{sf}{txt} now {bf}{res}str24{sf}
  {txt}variable {bf}q984{sf} was {bf}{res}str326{sf}{txt} now {bf}{res}str1{sf}
  {txt}variable {bf}q985{sf} was {bf}{res}str104{sf}{txt} now {bf}{res}str1{sf}
  {txt}variable {bf}q986{sf} was {bf}{res}str95{sf}{txt} now {bf}{res}str1{sf}
  {txt}variable {bf}q988{sf} was {bf}{res}str170{sf}{txt} now {bf}{res}str1{sf}
  {txt}variable {bf}q989{sf} was {bf}{res}str559{sf}{txt} now {bf}{res}str1{sf}
  {txt}variable {bf}q990{sf} was {bf}{res}str102{sf}{txt} now {bf}{res}str1{sf}
  {txt}variable {bf}q991{sf} was {bf}{res}str93{sf}{txt} now {bf}{res}str1{sf}
  {txt}variable {bf}q992{sf} was {bf}{res}str170{sf}{txt} now {bf}{res}str1{sf}
  {txt}variable {bf}q998{sf} was {bf}{res}str537{sf}{txt} now {bf}{res}str1{sf}
  {txt}variable {bf}q997{sf} was {bf}{res}str105{sf}{txt} now {bf}{res}str1{sf}
  {txt}variable {bf}q999{sf} was {bf}{res}str104{sf}{txt} now {bf}{res}str1{sf}
  {txt}variable {bf}q1000{sf} was {bf}{res}str95{sf}{txt} now {bf}{res}str1{sf}
  {txt}variable {bf}q1001{sf} was {bf}{res}str170{sf}{txt} now {bf}{res}str1{sf}
  {txt}variable {bf}q977{sf} was {bf}{res}str502{sf}{txt} now {bf}{res}str23{sf}
{txt}  (46,101 bytes saved)

{com}.         
.         * Donate_d
.         
.         gen donate_d = 0
{txt}
{com}.         replace donate_d = 1 if method_pay_bank_in_q == "I prefer to donate"
{txt}(3 real changes made)

{com}.         
.         * Special case
.         replace donate_d = 1 if responseid == "R_4ouc7tR6BFj3gpb" // respondent is refusing to take money in comments
{txt}(1 real change made)

{com}.         replace donate_d = 1 if responseid == "R_4Iow7YzsoT2KTOx" // respondent is writing cancel in comments
{txt}(1 real change made)

{com}.         
.         lab var donate_d "Respondent decided to donate"
{txt}
{com}.         lab def donate_d 0 "No" 1 "Yes"
{txt}
{com}.         lab val donate_d donate_d
{txt}
{com}.         order donate_d, after(responseid)
{txt}
{com}.         
.         * Org
.         
.         gen org_donation_id = "" 
{txt}(11 missing values generated)

{com}.         replace org_donation_id = expert_donation_org if donate_d == 1
{txt}variable {bf}org_donation_id{sf} was {bf}{res}str1{sf}{txt} now {bf}{res}str23{sf}
{txt}(3 real changes made)

{com}.         replace org_donation_id = "No choice" if donate_d == 1 & org_donation_id == ""
{txt}(2 real changes made)

{com}.         lab var org_donation_id "Name of the organization the respondent chose to donate"
{txt}
{com}.         order org_donation_id, after(donate_d)
{txt}
{com}.         
.         * Paid status
.         
.         gen paid_status = 0
{txt}
{com}.         replace paid_status = 2 if donate_d == 1
{txt}(5 real changes made)

{com}.         
.         * Case of payment
.         
.         lab var paid_status "Status of payment of the respondent"
{txt}
{com}.         lab def paid_status 0 "Not yet" 1 "Yes" 2 "Donation"
{txt}
{com}.         lab val paid_status paid_status
{txt}
{com}.         order paid_status, after(org_donation_id)
{txt}
{com}.         
.         keep responseid donate_d org_donation_id paid_status
{txt}
{com}.         
.         tempfile payment_module
{txt}
{com}.         sa "`payment_module'"
{txt}file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.000004 saved

{com}.         
.         restore
{txt}
{com}.         
.         * Main form of survey 
.         keep country full_name recipientemail responseid progress durationinseconds finished userlanguage num_unit confirmation_* ///
>         title_bur* elecpol_ovrsee* title_elecpol* aptpol_d* title_aptpol* who_aptpol* mostinf_servdel* educ_elecpolbur* ///
>         educ_apolbur* slry_elecpolbur* slry_apolbur* fdout_epol_bgt* fdout_apol_bgt* budsect_epol* budsect_apol* acinfexp_epol* /// 
>         acinfexp_apol* understand_epol* understand_apol* acttake_epol* acttake_epol* acttake_apol* acttake_apol* likely* why_likchan* /// 
>         who_apt_bur* who_apt_bur* who_fir_bur* who_fir_bur* ocap_epol* ocap_apol* prio_epol* prio_apol* overall_conf* avg_educ_epol* ///
>         avg_educ_apol* avg_educ_buro* avg_slry_epol* avg_slry_apol* avg_slry_buro* //
{txt}
{com}.         
.         destring durationinseconds progress, replace
{txt}durationinseconds: all characters numeric; {res}replaced {txt}as {res}int
{txt}progress: all characters numeric; {res}replaced {txt}as {res}byte
{txt}
{com}.         replace durationinseconds = round(durationinseconds/60)
{txt}(11 real changes made)

{com}.         ren durationinseconds duration_minutes
{res}{txt}
{com}. 
.         *--
.         
.         local id country full_name recipientemail responseid userlanguage num_unit finished progress duration_minutes
{txt}
{com}.         
.         order `id', first
{txt}
{com}.         duplicates drop `id', force

{p 0 4}{txt}Duplicates in terms of {res} country full_name recipientemail responseid userlanguage num_unit finished progress duration_minutes{p_end}

{txt}(0 observations are duplicates)

{com}.         
.         * Renaming others
.         
.         forvalues x = 1/3 {c -(}
{txt}  2{com}.                 
.                 forvalues y = 1/6 {c -(} 
{txt}  3{com}.                 
.                         cap ren who_apt_bur_`x'_`y'_8_text who_apt_buroth_`x'_`y'
{txt}  4{com}.                         cap ren who_fir_bur_`x'_`y'_8_text who_fir_buroth_`x'_`y'
{txt}  5{com}.                         cap ren acttake_epol_`x'_`y'_9_text acttake_epoloth_`x'_`y'
{txt}  6{com}.                         cap ren acttake_apol_`x'_`y'_9_text acttake_apoloth_`x'_`y'
{txt}  7{com}.                         
.                         {c )-}
{txt}  8{com}.                         
.                 {c )-}
{txt}
{com}.         
.         #delimit ;
{txt}delimiter now ;
{com}.         local var confirmation
>         title_bur 
>         elecpol_ovrsee
>         title_elecpol
>         aptpol_d
>         title_aptpol
>         who_aptpol
>         mostinf_servdel
>         educ_elecpolbur
>         educ_apolbur
>         slry_elecpolbur
>         slry_apolbur
>         fdout_epol_bgt
>         fdout_apol_bgt
>         budsect_epol
>         budsect_apol
>         acinfexp_epol
>         acinfexp_apol
>         understand_epol
>         understand_apol
>         acttake_epol
>         acttake_epoloth
>         acttake_apol
>         acttake_apoloth
>         likely
>         why_likchan
>         who_apt_bur
>         who_apt_buroth
>         who_fir_bur
>         who_fir_buroth
>         ocap_epol
>         ocap_apol
>         prio_epol
>         prio_apol
>         overall_conf
>         avg_educ_epol
>         avg_educ_apol
>         avg_educ_buro
>         avg_slry_epol
>         avg_slry_apol
>         avg_slry_buro
>         
>         ;
{txt}
{com}.                 #delimit cr
{txt}delimiter now cr
{com}. 
.         reshape long `var', i(`id') j(pos) s
{txt}(note: j = _1_1 _1_4 _1_5 _1_6 _2_1 _2_2 _2_4 _2_5 _2_6 _3_1 _3_2 _3_3 _3_4 _3_5 _3_6)
(note: confirmation_1_4 not found)
(note: confirmation_1_5 not found)
(note: confirmation_1_6 not found)
(note: confirmation_2_4 not found)
(note: confirmation_2_5 not found)
(note: confirmation_2_6 not found)
(note: confirmation_3_4 not found)
(note: confirmation_3_5 not found)
(note: confirmation_3_6 not found)

Data{col 36}wide{col 43}->{col 48}long
{hline 77}
Number of obs.                 {res}      11   {txt}->{res}     165
{txt}Number of variables            {res}     615   {txt}->{res}      51
{txt}j variable (15 values)                    ->   {res}pos
{txt}xij variables:
{res}confirmation_1_1 confirmation_1_4 ... confirmation_3_6{txt}->{res}confirmation
title_bur_1_1 title_bur_1_4 ... title_bur_3_6{txt}->{res}title_bur
elecpol_ovrsee_1_1 elecpol_ovrsee_1_4 ... elecpol_ovrsee_3_6{txt}->{res}elecpol_ovrsee
title_elecpol_1_1 title_elecpol_1_4 ... title_elecpol_3_6{txt}->{res}title_elecpol
aptpol_d_1_1 aptpol_d_1_4 ... aptpol_d_3_6{txt}->   {res}aptpol_d
title_aptpol_1_1 title_aptpol_1_4 ... title_aptpol_3_6{txt}->{res}title_aptpol
who_aptpol_1_1 who_aptpol_1_4 ... who_aptpol_3_6{txt}->{res}who_aptpol
mostinf_servdel_1_1 mostinf_servdel_1_4 ... mostinf_servdel_3_6{txt}->{res}mostinf_servdel
educ_elecpolbur_1_1 educ_elecpolbur_1_4 ... educ_elecpolbur_3_6{txt}->{res}educ_elecpolbur
educ_apolbur_1_1 educ_apolbur_1_4 ... educ_apolbur_3_6{txt}->{res}educ_apolbur
slry_elecpolbur_1_1 slry_elecpolbur_1_4 ... slry_elecpolbur_3_6{txt}->{res}slry_elecpolbur
slry_apolbur_1_1 slry_apolbur_1_4 ... slry_apolbur_3_6{txt}->{res}slry_apolbur
fdout_epol_bgt_1_1 fdout_epol_bgt_1_4 ... fdout_epol_bgt_3_6{txt}->{res}fdout_epol_bgt
fdout_apol_bgt_1_1 fdout_apol_bgt_1_4 ... fdout_apol_bgt_3_6{txt}->{res}fdout_apol_bgt
budsect_epol_1_1 budsect_epol_1_4 ... budsect_epol_3_6{txt}->{res}budsect_epol
budsect_apol_1_1 budsect_apol_1_4 ... budsect_apol_3_6{txt}->{res}budsect_apol
acinfexp_epol_1_1 acinfexp_epol_1_4 ... acinfexp_epol_3_6{txt}->{res}acinfexp_epol
acinfexp_apol_1_1 acinfexp_apol_1_4 ... acinfexp_apol_3_6{txt}->{res}acinfexp_apol
understand_epol_1_1 understand_epol_1_4 ... understand_epol_3_6{txt}->{res}understand_epol
understand_apol_1_1 understand_apol_1_4 ... understand_apol_3_6{txt}->{res}understand_apol
acttake_epol_1_1 acttake_epol_1_4 ... acttake_epol_3_6{txt}->{res}acttake_epol
acttake_epoloth_1_1 acttake_epoloth_1_4 ... acttake_epoloth_3_6{txt}->{res}acttake_epoloth
acttake_apol_1_1 acttake_apol_1_4 ... acttake_apol_3_6{txt}->{res}acttake_apol
acttake_apoloth_1_1 acttake_apoloth_1_4 ... acttake_apoloth_3_6{txt}->{res}acttake_apoloth
   likely_1_1 likely_1_4 ... likely_3_6   {txt}->   {res}likely
why_likchan_1_1 why_likchan_1_4 ... why_likchan_3_6{txt}->{res}why_likchan
who_apt_bur_1_1 who_apt_bur_1_4 ... who_apt_bur_3_6{txt}->{res}who_apt_bur
who_apt_buroth_1_1 who_apt_buroth_1_4 ... who_apt_buroth_3_6{txt}->{res}who_apt_buroth
who_fir_bur_1_1 who_fir_bur_1_4 ... who_fir_bur_3_6{txt}->{res}who_fir_bur
who_fir_buroth_1_1 who_fir_buroth_1_4 ... who_fir_buroth_3_6{txt}->{res}who_fir_buroth
ocap_epol_1_1 ocap_epol_1_4 ... ocap_epol_3_6{txt}->{res}ocap_epol
ocap_apol_1_1 ocap_apol_1_4 ... ocap_apol_3_6{txt}->{res}ocap_apol
prio_epol_1_1 prio_epol_1_4 ... prio_epol_3_6{txt}->{res}prio_epol
prio_apol_1_1 prio_apol_1_4 ... prio_apol_3_6{txt}->{res}prio_apol
overall_conf_1_1 overall_conf_1_4 ... overall_conf_3_6{txt}->{res}overall_conf
avg_educ_epol_1_1 avg_educ_epol_1_4 ... avg_educ_epol_3_6{txt}->{res}avg_educ_epol
avg_educ_apol_1_1 avg_educ_apol_1_4 ... avg_educ_apol_3_6{txt}->{res}avg_educ_apol
avg_educ_buro_1_1 avg_educ_buro_1_4 ... avg_educ_buro_3_6{txt}->{res}avg_educ_buro
avg_slry_epol_1_1 avg_slry_epol_1_4 ... avg_slry_epol_3_6{txt}->{res}avg_slry_epol
avg_slry_apol_1_1 avg_slry_apol_1_4 ... avg_slry_apol_3_6{txt}->{res}avg_slry_apol
avg_slry_buro_1_1 avg_slry_buro_1_4 ... avg_slry_buro_3_6{txt}->{res}avg_slry_buro
{txt}{hline 77}

{com}.         
.         * Filter data
.         
.         split pos, p("_")
{res}variables created as string: 
{txt}{col 1}pos1{col 7}pos2{col 13}pos3

{com}.         
.         drop pos1
{txt}
{com}.         ren pos2 case_n_unit
{res}{txt}
{com}.         ren pos3 unit_num
{res}{txt}
{com}.         destring case_n_unit unit_num, replace
{txt}case_n_unit: all characters numeric; {res}replaced {txt}as {res}byte
{txt}unit_num: all characters numeric; {res}replaced {txt}as {res}byte
{txt}
{com}.         order case_n_unit unit_num, after(duration_minutes)
{txt}
{com}.         drop pos
{txt}
{com}.         
.         destring num_unit, replace
{txt}num_unit: all characters numeric; {res}replaced {txt}as {res}byte
{txt}
{com}.         drop if num_unit != case_n_unit
{txt}(104 observations deleted)

{com}.         drop num_unit
{txt}
{com}.         
.         compress
  {txt}variable {bf}country{sf} was {bf}{res}str15{sf}{txt} now {bf}{res}str11{sf}
  {txt}variable {bf}full_name{sf} was {bf}{res}str28{sf}{txt} now {bf}{res}str23{sf}
  {txt}variable {bf}recipientemail{sf} was {bf}{res}str35{sf}{txt} now {bf}{res}str32{sf}
  {txt}variable {bf}userlanguage{sf} was {bf}{res}str13{sf}{txt} now {bf}{res}str2{sf}
  {txt}variable {bf}finished{sf} was {bf}{res}str8{sf}{txt} now {bf}{res}str4{sf}
  {txt}variable {bf}title_bur{sf} was {bf}{res}str448{sf}{txt} now {bf}{res}str235{sf}
  {txt}variable {bf}elecpol_ovrsee{sf} was {bf}{res}str352{sf}{txt} now {bf}{res}str3{sf}
  {txt}variable {bf}title_elecpol{sf} was {bf}{res}str312{sf}{txt} now {bf}{res}str288{sf}
  {txt}variable {bf}aptpol_d{sf} was {bf}{res}str332{sf}{txt} now {bf}{res}str30{sf}
  {txt}variable {bf}who_aptpol{sf} was {bf}{res}str96{sf}{txt} now {bf}{res}str84{sf}
  {txt}variable {bf}mostinf_servdel{sf} was {bf}{res}str256{sf}{txt} now {bf}{res}str44{sf}
  {txt}variable {bf}educ_elecpolbur{sf} was {bf}{res}str258{sf}{txt} now {bf}{res}str51{sf}
  {txt}variable {bf}educ_apolbur{sf} was {bf}{res}str260{sf}{txt} now {bf}{res}str1{sf}
  {txt}variable {bf}slry_elecpolbur{sf} was {bf}{res}str316{sf}{txt} now {bf}{res}str47{sf}
  {txt}variable {bf}slry_apolbur{sf} was {bf}{res}str318{sf}{txt} now {bf}{res}str1{sf}
  {txt}variable {bf}fdout_epol_bgt{sf} was {bf}{res}str373{sf}{txt} now {bf}{res}str19{sf}
  {txt}variable {bf}fdout_apol_bgt{sf} was {bf}{res}str375{sf}{txt} now {bf}{res}str1{sf}
  {txt}variable {bf}budsect_epol{sf} was {bf}{res}str217{sf}{txt} now {bf}{res}str19{sf}
  {txt}variable {bf}budsect_apol{sf} was {bf}{res}str219{sf}{txt} now {bf}{res}str1{sf}
  {txt}variable {bf}acinfexp_epol{sf} was {bf}{res}str216{sf}{txt} now {bf}{res}str19{sf}
  {txt}variable {bf}acinfexp_apol{sf} was {bf}{res}str218{sf}{txt} now {bf}{res}str1{sf}
  {txt}variable {bf}understand_epol{sf} was {bf}{res}str214{sf}{txt} now {bf}{res}str21{sf}
  {txt}variable {bf}understand_apol{sf} was {bf}{res}str216{sf}{txt} now {bf}{res}str21{sf}
  {txt}variable {bf}acttake_epol{sf} was {bf}{res}str247{sf}{txt} now {bf}{res}str163{sf}
  {txt}variable {bf}acttake_epoloth{sf} was {bf}{res}str261{sf}{txt} now {bf}{res}str63{sf}
  {txt}variable {bf}acttake_apol{sf} was {bf}{res}str250{sf}{txt} now {bf}{res}str1{sf}
  {txt}variable {bf}acttake_apoloth{sf} was {bf}{res}str264{sf}{txt} now {bf}{res}str1{sf}
  {txt}variable {bf}likely{sf} was {bf}{res}str159{sf}{txt} now {bf}{res}str18{sf}
  {txt}variable {bf}who_apt_bur{sf} was {bf}{res}str126{sf}{txt} now {bf}{res}str64{sf}
  {txt}variable {bf}who_fir_bur{sf} was {bf}{res}str120{sf}{txt} now {bf}{res}str64{sf}
  {txt}variable {bf}who_fir_buroth{sf} was {bf}{res}str134{sf}{txt} now {bf}{res}str77{sf}
  {txt}variable {bf}ocap_epol{sf} was {bf}{res}str359{sf}{txt} now {bf}{res}str55{sf}
  {txt}variable {bf}ocap_apol{sf} was {bf}{res}str361{sf}{txt} now {bf}{res}str1{sf}
  {txt}variable {bf}prio_epol{sf} was {bf}{res}str209{sf}{txt} now {bf}{res}str73{sf}
  {txt}variable {bf}prio_apol{sf} was {bf}{res}str211{sf}{txt} now {bf}{res}str1{sf}
  {txt}variable {bf}overall_conf{sf} was {bf}{res}str191{sf}{txt} now {bf}{res}str17{sf}
  {txt}variable {bf}avg_educ_buro{sf} was {bf}{res}str117{sf}{txt} now {bf}{res}str101{sf}
  {txt}variable {bf}avg_slry_apol{sf} was {bf}{res}str134{sf}{txt} now {bf}{res}str128{sf}
  {txt}variable {bf}avg_slry_buro{sf} was {bf}{res}str134{sf}{txt} now {bf}{res}str87{sf}
  {txt}variable {bf}confirmation{sf} was {bf}{res}str1148{sf}{txt} now {bf}{res}str63{sf}
{txt}  (462,685 bytes saved)

{com}.         
.         * We edit the label 
.         
.         lab var country "Country"
{txt}
{com}.         lab var full_name  "Full name of recipient"
{txt}
{com}.         lab var recipientemail "Recipient email"
{txt}
{com}.         lab var userlanguage "Language used to answer"
{txt}
{com}.         lab var finished "Completion status"
{txt}
{com}.         lab var progress "Progress"
{txt}
{com}.         lab var duration_minutes "Duration in minutes"
{txt}
{com}.         lab var case_n_unit "Original number of entities"
{txt}
{com}.         lab var unit_num "Unit number"
{txt}
{com}.         
.         * Confirmation
.         
.         fre confirmation
{res}
{txt}confirmation
{txt}{hline 54}{hline 1}{c TT}{hline 44}
{txt}        {txt}                                               {c |}      Freq.    Percent      Valid       Cum.
{txt}{hline 54}{hline 1}{c +}{hline 44}
{txt}Valid   No, this is inaccurate. This level needs to be {c |}{res}          2       3.28       7.14       7.14
{txt}        replaced/deleted                               {c |}{res}                                            
{txt}        No, this level needs to be replaced/deleted    {c |}{res}          2       3.28       7.14      14.29
{txt}        Yes, this is accurate                          {c |}{res}         24      39.34      85.71     100.00
{txt}        Total                                          {c |}{res}         28      45.90     100.00           
{txt}Missing                                                {c |}{res}         33      54.10                      
{txt}Total                                                  {c |}{res}         61     100.00                      
{txt}{hline 54}{hline 1}{c BT}{hline 44}

{com}.         replace confirmation = "1" if confirmation == "Yes, this is accurate"
{txt}(24 real changes made)

{com}.         replace confirmation = "0" if regexm(confirmation,"No")
{txt}(4 real changes made)

{com}.         destring confirmation, replace
{txt}confirmation: all characters numeric; {res}replaced {txt}as {res}byte
{txt}(33 missing values generated)
{res}{txt}
{com}.         
.         lab var confirmation "Confirmation of adequacy of unit"
{txt}
{com}.         lab def confirmation 0 "No, this is not accurate. It should be replaced/deleted" 1 "Yes, this is accurate"
{txt}
{com}.         lab val confirmation confirmation
{txt}
{com}.         
.         fre confirmation
{res}
{txt}confirmation {hline 2} Confirmation of adequacy of unit
{txt}{hline 48}{hline 1}{c TT}{hline 44}
{txt}        {txt}                                         {c |}      Freq.    Percent      Valid       Cum.
{txt}{hline 48}{hline 1}{c +}{hline 44}
{txt}Valid   0 No, this is not accurate. It should be {c |}{res}          4       6.56      14.29      14.29
{txt}          replaced/deleted                       {c |}{res}                                            
{txt}        1 Yes, this is accurate                  {c |}{res}         24      39.34      85.71     100.00
{txt}        Total                                    {c |}{res}         28      45.90     100.00           
{txt}Missing .                                        {c |}{res}         33      54.10                      
{txt}Total                                            {c |}{res}         61     100.00                      
{txt}{hline 48}{hline 1}{c BT}{hline 44}

{com}.         
.         order confirmation, after(unit_num)
{txt}
{com}.         
.         * Creating variable about asked_survey (should be updated)
.         
.         gen asked_survey = 0
{txt}
{com}.         replace asked_survey = 1 if confirmation == 1
{txt}(24 real changes made)

{com}.         lab var asked_survey "Survey question asked to respondent"
{txt}
{com}.         lab def yesno 0 "No" 1 "Yes"
{txt}
{com}.         lab val asked_survey yesno
{txt}
{com}.         order asked_survey, after(confirmation)
{txt}
{com}.         
.         * title_bur
.         
.         lab var title_bur "Title of the highest-level bureaucrat in unit"
{txt}
{com}.         
.         gen test_title_bur = (title_bur != "")
{txt}
{com}.         replace test_title_bur = . if asked_survey == 0
{txt}(37 real changes made, 37 to missing)

{com}.         fre test_title_bur
{res}
{txt}test_title_bur
{txt}{hline 9}{hline 1}{c TT}{hline 44}
{txt}        {txt}  {c |}      Freq.    Percent      Valid       Cum.
{txt}{hline 9}{hline 1}{c +}{hline 44}
{txt}Valid   1 {c |}{res}         24      39.34     100.00     100.00
{txt}Missing . {c |}{res}         37      60.66                      
{txt}Total     {c |}{res}         61     100.00                      
{txt}{hline 9}{hline 1}{c BT}{hline 44}

{com}.         assert inlist(test_title_bur,.,1)
{txt}
{com}.         
.         drop test_title_bur
{txt}
{com}.         
.         * elecpol_ovrsee
.         
.         lab var elecpol_ovrsee "Any politicians in unit overseeing service delivery"
{txt}
{com}.         replace elecpol_ovrsee = "0" if elecpol_ovrsee == "No"
{txt}(2 real changes made)

{com}.         replace elecpol_ovrsee = "1" if elecpol_ovrsee == "Yes"
{txt}(23 real changes made)

{com}.         destring elecpol_ovrsee, replace
{txt}elecpol_ovrsee: all characters numeric; {res}replaced {txt}as {res}byte
{txt}(36 missing values generated)
{res}{txt}
{com}.         lab val elecpol_ovrsee yesno
{txt}
{com}.         
.         fre elecpol_ovrsee
{res}
{txt}elecpol_ovrsee {hline 2} Any politicians in unit overseeing service delivery
{txt}{hline 13}{hline 1}{c TT}{hline 44}
{txt}        {txt}      {c |}      Freq.    Percent      Valid       Cum.
{txt}{hline 13}{hline 1}{c +}{hline 44}
{txt}Valid   0 No  {c |}{res}          2       3.28       8.00       8.00
{txt}        1 Yes {c |}{res}         23      37.70      92.00     100.00
{txt}        Total {c |}{res}         25      40.98     100.00           
{txt}Missing .     {c |}{res}         36      59.02                      
{txt}Total         {c |}{res}         61     100.00                      
{txt}{hline 13}{hline 1}{c BT}{hline 44}

{com}.         
.         gen test_elecpol_ovrsee = (elecpol_ovrsee != .)
{txt}
{com}.         replace test_elecpol_ovrsee = . if asked_survey == 0
{txt}(37 real changes made, 37 to missing)

{com}.         fre test_elecpol_ovrsee
{res}
{txt}test_elecpol_ovrsee
{txt}{hline 9}{hline 1}{c TT}{hline 44}
{txt}        {txt}  {c |}      Freq.    Percent      Valid       Cum.
{txt}{hline 9}{hline 1}{c +}{hline 44}
{txt}Valid   1 {c |}{res}         24      39.34     100.00     100.00
{txt}Missing . {c |}{res}         37      60.66                      
{txt}Total     {c |}{res}         61     100.00                      
{txt}{hline 9}{hline 1}{c BT}{hline 44}

{com}.         assert inlist(test_elecpol_ovrsee,.,1)
{txt}
{com}.         
.         drop test_elecpol_ovrsee
{txt}
{com}.         
.         * title_elecpol
.         
.         lab var title_elecpol "Title of the highest-level elected politician in unit"
{txt}
{com}.         
.         gen test_title_elecpol = (title_elecpol != "")
{txt}
{com}.         replace test_title_elecpol = . if asked_survey == 0
{txt}(37 real changes made, 37 to missing)

{com}.         replace test_title_elecpol = . if elecpol_ovrsee == 0
{txt}(1 real change made, 1 to missing)

{com}.         fre test_title_elecpol
{res}
{txt}test_title_elecpol
{txt}{hline 9}{hline 1}{c TT}{hline 44}
{txt}        {txt}  {c |}      Freq.    Percent      Valid       Cum.
{txt}{hline 9}{hline 1}{c +}{hline 44}
{txt}Valid   1 {c |}{res}         23      37.70     100.00     100.00
{txt}Missing . {c |}{res}         38      62.30                      
{txt}Total     {c |}{res}         61     100.00                      
{txt}{hline 9}{hline 1}{c BT}{hline 44}

{com}.         assert inlist(test_title_elecpol,.,1)
{txt}
{com}.         
.         drop test_title_elecpol
{txt}
{com}.         
.         * aptpol_d
.         
.         fre aptpol_d
{res}
{txt}aptpol_d
{txt}{hline 38}{hline 1}{c TT}{hline 44}
{txt}        {txt}                               {c |}      Freq.    Percent      Valid       Cum.
{txt}{hline 38}{hline 1}{c +}{hline 44}
{txt}Valid   Do not know / Refuse to answer {c |}{res}          1       1.64       4.00       4.00
{txt}        No                             {c |}{res}         15      24.59      60.00      64.00
{txt}        Yes                            {c |}{res}          9      14.75      36.00     100.00
{txt}        Total                          {c |}{res}         25      40.98     100.00           
{txt}Missing                                {c |}{res}         36      59.02                      
{txt}Total                                  {c |}{res}         61     100.00                      
{txt}{hline 38}{hline 1}{c BT}{hline 44}

{com}.         
.         lab var aptpol_d "Politician appointed by higher politician in unit"
{txt}
{com}.         replace aptpol_d = "0" if aptpol_d == "No"
{txt}(15 real changes made)

{com}.         replace aptpol_d = "1" if aptpol_d == "Yes"
{txt}(9 real changes made)

{com}.         replace aptpol_d = "-98" if aptpol_d == "Do not know / Refuse to answer"
{txt}(1 real change made)

{com}.         destring aptpol_d, replace
{txt}aptpol_d: all characters numeric; {res}replaced {txt}as {res}byte
{txt}(36 missing values generated)
{res}{txt}
{com}.         lab val aptpol_d yesno
{txt}
{com}.         
.         fre aptpol_d
{res}
{txt}aptpol_d {hline 2} Politician appointed by higher politician in unit
{txt}{hline 15}{hline 1}{c TT}{hline 44}
{txt}        {txt}        {c |}      Freq.    Percent      Valid       Cum.
{txt}{hline 15}{hline 1}{c +}{hline 44}
{txt}Valid   -98     {c |}{res}          1       1.64       4.00       4.00
{txt}        0   No  {c |}{res}         15      24.59      60.00      64.00
{txt}        1   Yes {c |}{res}          9      14.75      36.00     100.00
{txt}        Total   {c |}{res}         25      40.98     100.00           
{txt}Missing .       {c |}{res}         36      59.02                      
{txt}Total           {c |}{res}         61     100.00                      
{txt}{hline 15}{hline 1}{c BT}{hline 44}

{com}.         
.         gen test_aptpol_d = (aptpol_d != .)
{txt}
{com}.         replace test_aptpol_d = . if asked_survey == 0
{txt}(37 real changes made, 37 to missing)

{com}.         fre test_aptpol_d
{res}
{txt}test_aptpol_d
{txt}{hline 9}{hline 1}{c TT}{hline 44}
{txt}        {txt}  {c |}      Freq.    Percent      Valid       Cum.
{txt}{hline 9}{hline 1}{c +}{hline 44}
{txt}Valid   1 {c |}{res}         24      39.34     100.00     100.00
{txt}Missing . {c |}{res}         37      60.66                      
{txt}Total     {c |}{res}         61     100.00                      
{txt}{hline 9}{hline 1}{c BT}{hline 44}

{com}.         assert inlist(test_aptpol_d,.,1)
{txt}
{com}.         
.         drop test_aptpol_d
{txt}
{com}.         
.         * pol_exist_d
.         
.         gen pol_exist_d = 0
{txt}
{com}.         replace pol_exist_d = 1 if aptpol_d == 1 | elecpol_ovrsee == 1
{txt}(23 real changes made)

{com}.         replace pol_exist_d = . if asked_survey == 0
{txt}(37 real changes made, 37 to missing)

{com}.         lab val pol_exist_d yesno
{txt}
{com}.         lab var pol_exist_d "1 if we have either an appointed or elected politician"
{txt}
{com}.         
.         fre pol_exist_d
{res}
{txt}pol_exist_d {hline 2} 1 if we have either an appointed or elected politician
{txt}{hline 13}{hline 1}{c TT}{hline 44}
{txt}        {txt}      {c |}      Freq.    Percent      Valid       Cum.
{txt}{hline 13}{hline 1}{c +}{hline 44}
{txt}Valid   0 No  {c |}{res}          1       1.64       4.17       4.17
{txt}        1 Yes {c |}{res}         23      37.70      95.83     100.00
{txt}        Total {c |}{res}         24      39.34     100.00           
{txt}Missing .     {c |}{res}         37      60.66                      
{txt}Total         {c |}{res}         61     100.00                      
{txt}{hline 13}{hline 1}{c BT}{hline 44}

{com}.         order pol_exist_d, after(aptpol_d)
{txt}
{com}.         
.         * title_aptpol
.         
.         lab var title_aptpol "Title of the highest-level appointed politician in unit"
{txt}
{com}.         
.         gen test_title_aptpol = (title_aptpol != "")
{txt}
{com}.         replace test_title_aptpol = . if asked_survey == 0 
{txt}(37 real changes made, 37 to missing)

{com}.         replace test_title_aptpol = . if aptpol_d == 0 | aptpol_d == -98
{txt}(15 real changes made, 15 to missing)

{com}.         fre test_title_aptpol
{res}
{txt}test_title_aptpol
{txt}{hline 9}{hline 1}{c TT}{hline 44}
{txt}        {txt}  {c |}      Freq.    Percent      Valid       Cum.
{txt}{hline 9}{hline 1}{c +}{hline 44}
{txt}Valid   1 {c |}{res}          9      14.75     100.00     100.00
{txt}Missing . {c |}{res}         52      85.25                      
{txt}Total     {c |}{res}         61     100.00                      
{txt}{hline 9}{hline 1}{c BT}{hline 44}

{com}.         assert inlist(test_title_aptpol,.,1)
{txt}
{com}.         
.         drop test_title_aptpol
{txt}
{com}.         
.         * who_aptpol
.         
.         lab var who_aptpol "Who appoints the highest-level appointed politician in unit"
{txt}
{com}.         
.         gen test_who_aptpol = (who_aptpol != "")
{txt}
{com}.         replace test_who_aptpol = . if asked_survey == 0 
{txt}(37 real changes made, 37 to missing)

{com}.         replace test_who_aptpol = . if aptpol_d == 0 | aptpol_d == -98
{txt}(15 real changes made, 15 to missing)

{com}.         fre test_who_aptpol
{res}
{txt}test_who_aptpol
{txt}{hline 9}{hline 1}{c TT}{hline 44}
{txt}        {txt}  {c |}      Freq.    Percent      Valid       Cum.
{txt}{hline 9}{hline 1}{c +}{hline 44}
{txt}Valid   1 {c |}{res}          9      14.75     100.00     100.00
{txt}Missing . {c |}{res}         52      85.25                      
{txt}Total     {c |}{res}         61     100.00                      
{txt}{hline 9}{hline 1}{c BT}{hline 44}

{com}.         assert inlist(test_who_aptpol,.,1)
{txt}
{com}.         
.         drop test_who_aptpol
{txt}
{com}.         
.         * mostinf_servdel
.         
.         lab var mostinf_servdel "More influential in determining quality of service"
{txt}
{com}.         
.         replace mostinf_servdel = "1" if regexm(mostinf_servdel,"Elected much more")
{txt}(5 real changes made)

{com}.         replace mostinf_servdel = "2" if regexm(mostinf_servdel,"Elected slightly more")
{txt}(0 real changes made)

{com}.         replace mostinf_servdel = "3" if regexm(mostinf_servdel,"About the same")
{txt}(1 real change made)

{com}.         replace mostinf_servdel = "4" if regexm(mostinf_servdel,"Appointed slightly more")
{txt}(0 real changes made)

{com}.         replace mostinf_servdel = "5" if regexm(mostinf_servdel,"Appointed much more")
{txt}(3 real changes made)

{com}.         destring mostinf_servdel, replace
{txt}mostinf_servdel: all characters numeric; {res}replaced {txt}as {res}byte
{txt}(52 missing values generated)
{res}{txt}
{com}.         lab def mostinf_servdel 1 "Elected much more influential" 2 "Elected slightly more influential" 3 "About the same" 4 "Appointed slightly more influential" 5 "Appointed much more influential"
{txt}
{com}.         lab val mostinf_servdel mostinf_servdel
{txt}
{com}.         
.         fre mostinf_servdel
{res}
{txt}mostinf_servdel {hline 2} More influential in determining quality of service
{txt}{hline 41}{hline 1}{c TT}{hline 44}
{txt}        {txt}                                  {c |}      Freq.    Percent      Valid       Cum.
{txt}{hline 41}{hline 1}{c +}{hline 44}
{txt}Valid   1 Elected much more influential   {c |}{res}          5       8.20      55.56      55.56
{txt}        3 About the same                  {c |}{res}          1       1.64      11.11      66.67
{txt}        5 Appointed much more influential {c |}{res}          3       4.92      33.33     100.00
{txt}        Total                             {c |}{res}          9      14.75     100.00           
{txt}Missing .                                 {c |}{res}         52      85.25                      
{txt}Total                                     {c |}{res}         61     100.00                      
{txt}{hline 41}{hline 1}{c BT}{hline 44}

{com}.         
.         gen test_mostinf_servdel = (mostinf_servdel != .)
{txt}
{com}.         replace test_mostinf_servdel = . if asked_survey == 0 
{txt}(37 real changes made, 37 to missing)

{com}.         replace test_mostinf_servdel = . if (inlist(aptpol_d,0,-98) | elecpol_ovrsee == 0)
{txt}(15 real changes made, 15 to missing)

{com}.         fre test_mostinf_servdel
{res}
{txt}test_mostinf_servdel
{txt}{hline 9}{hline 1}{c TT}{hline 44}
{txt}        {txt}  {c |}      Freq.    Percent      Valid       Cum.
{txt}{hline 9}{hline 1}{c +}{hline 44}
{txt}Valid   1 {c |}{res}          9      14.75     100.00     100.00
{txt}Missing . {c |}{res}         52      85.25                      
{txt}Total     {c |}{res}         61     100.00                      
{txt}{hline 9}{hline 1}{c BT}{hline 44}

{com}.         assert inlist(test_mostinf_servdel,.,1)
{txt}
{com}.         
.         drop test_mostinf_servdel
{txt}
{com}.         
.         * educ_elecpolbur
.         
.         lab var educ_elecpolbur "More educated bureaucrat or politician (elec. politician)"
{txt}
{com}.         
.         fre educ_elecpolbur
{res}
{txt}educ_elecpolbur {hline 2} More educated bureaucrat or politician (elec. politician)
{txt}{hline 55}{hline 1}{c TT}{hline 44}
{txt}        {txt}                                                {c |}      Freq.    Percent      Valid       Cum.
{txt}{hline 55}{hline 1}{c +}{hline 44}
{txt}Valid   About the same level of education               {c |}{res}          4       6.56      17.39      17.39
{txt}        Bureaucrats much more educated than Politicians {c |}{res}         13      21.31      56.52      73.91
{txt}        Bureaucrats slightly more educated than         {c |}{res}          6       9.84      26.09     100.00
{txt}        Politicians                                     {c |}{res}                                            
{txt}        Total                                           {c |}{res}         23      37.70     100.00           
{txt}Missing                                                 {c |}{res}         38      62.30                      
{txt}Total                                                   {c |}{res}         61     100.00                      
{txt}{hline 55}{hline 1}{c BT}{hline 44}

{com}.         
.         replace educ_elecpolbur = "1" if regexm(educ_elecpolbur,"Bureaucrats much more educated")
{txt}(13 real changes made)

{com}.         replace educ_elecpolbur = "2" if regexm(educ_elecpolbur,"Bureaucrats slightly more educated")
{txt}(6 real changes made)

{com}.         replace educ_elecpolbur = "3" if regexm(educ_elecpolbur,"About the same")
{txt}(4 real changes made)

{com}.         replace educ_elecpolbur = "4" if regexm(educ_elecpolbur,"Politicians slightly more educated")
{txt}(0 real changes made)

{com}.         replace educ_elecpolbur = "5" if regexm(educ_elecpolbur,"Politicians much more educated")
{txt}(0 real changes made)

{com}.         destring educ_elecpolbur, replace
{txt}educ_elecpolbur: all characters numeric; {res}replaced {txt}as {res}byte
{txt}(38 missing values generated)
{res}{txt}
{com}.         lab def educ_elecpolbur 1 "Bureaucrats much more educated" 2 "Bureaucrats slightly more educated" 3 "About the same" 4 "Politicians slightly more educated" 5 "Politicians much more educated"
{txt}
{com}.         lab val educ_elecpolbur educ_elecpolbur
{txt}
{com}.         
.         fre educ_elecpolbur
{res}
{txt}educ_elecpolbur {hline 2} More educated bureaucrat or politician (elec. politician)
{txt}{hline 44}{hline 1}{c TT}{hline 44}
{txt}        {txt}                                     {c |}      Freq.    Percent      Valid       Cum.
{txt}{hline 44}{hline 1}{c +}{hline 44}
{txt}Valid   1 Bureaucrats much more educated     {c |}{res}         13      21.31      56.52      56.52
{txt}        2 Bureaucrats slightly more educated {c |}{res}          6       9.84      26.09      82.61
{txt}        3 About the same                     {c |}{res}          4       6.56      17.39     100.00
{txt}        Total                                {c |}{res}         23      37.70     100.00           
{txt}Missing .                                    {c |}{res}         38      62.30                      
{txt}Total                                        {c |}{res}         61     100.00                      
{txt}{hline 44}{hline 1}{c BT}{hline 44}

{com}.         
.         gen test_educ_elecpolbur = (educ_elecpolbur != .)
{txt}
{com}.         replace test_educ_elecpolbur = . if asked_survey == 0 
{txt}(37 real changes made, 37 to missing)

{com}.         replace test_educ_elecpolbur = . if elecpol_ovrsee == 0
{txt}(1 real change made, 1 to missing)

{com}.         fre test_educ_elecpolbur
{res}
{txt}test_educ_elecpolbur
{txt}{hline 9}{hline 1}{c TT}{hline 44}
{txt}        {txt}  {c |}      Freq.    Percent      Valid       Cum.
{txt}{hline 9}{hline 1}{c +}{hline 44}
{txt}Valid   1 {c |}{res}         23      37.70     100.00     100.00
{txt}Missing . {c |}{res}         38      62.30                      
{txt}Total     {c |}{res}         61     100.00                      
{txt}{hline 9}{hline 1}{c BT}{hline 44}

{com}.         assert inlist(test_educ_elecpolbur,.,1)
{txt}
{com}.         
.         drop test_educ_elecpolbur
{txt}
{com}.         
.         * educ_apolbur
.         
.         lab var educ_apolbur "More educated bureaucrat or politician (app. politician) "
{txt}
{com}.         
.         fre educ_apolbur
{res}
{txt}educ_apolbur {hline 2} More educated bureaucrat or politician (app. politician) 
{txt}{hline 8}{hline 1}{c TT}{hline 44}
{txt}        {txt} {c |}      Freq.    Percent      Valid       Cum.
{txt}{hline 8}{hline 1}{c +}{hline 44}
{txt}Missing  {c |}{res}         61     100.00                      
{txt}{hline 8}{hline 1}{c BT}{hline 44}

{com}.         
.         replace educ_apolbur = "1" if regexm(educ_apolbur,"Bureaucrats much more educated")
{txt}(0 real changes made)

{com}.         replace educ_apolbur = "2" if regexm(educ_apolbur,"Bureaucrats slightly more educated")
{txt}(0 real changes made)

{com}.         replace educ_apolbur = "3" if regexm(educ_apolbur,"About the same")
{txt}(0 real changes made)

{com}.         replace educ_apolbur = "4" if regexm(educ_apolbur,"Politicians slightly more educated")
{txt}(0 real changes made)

{com}.         replace educ_apolbur = "5" if regexm(educ_apolbur,"Politicians much more educated")
{txt}(0 real changes made)

{com}.         destring educ_apolbur, replace
{txt}educ_apolbur: all characters numeric; {res}replaced {txt}as {res}byte
{txt}(61 missing values generated)
{res}{txt}
{com}.         lab def educ_apolbur 1 "Bureaucrats much more educated" 2 "Bureaucrats slightly more educated" 3 "About the same" 4 "Politicians slightly more educated" 5 "Politicians much more educated"
{txt}
{com}.         lab val educ_apolbur educ_apolbur
{txt}
{com}.         
.         fre educ_apolbur
{res}
{txt}educ_apolbur {hline 2} More educated bureaucrat or politician (app. politician) 
{txt}{hline 13}{hline 1}{c TT}{hline 44}
{txt}        {txt}      {c |}      Freq.    Percent      Valid       Cum.
{txt}{hline 13}{hline 1}{c +}{hline 44}
{txt}Missing .     {c |}{res}         61     100.00                      
{txt}{hline 13}{hline 1}{c BT}{hline 44}

{com}.         
.         gen test_educ_apolbur = (educ_apolbur != .)
{txt}
{com}.         replace test_educ_apolbur = . if asked_survey == 0
{txt}(37 real changes made, 37 to missing)

{com}.         replace test_educ_apolbur = . if aptpol_d == 0
{txt}(14 real changes made, 14 to missing)

{com}.         replace test_educ_apolbur = . if elecpol_ovrsee == 1 
{txt}(10 real changes made, 10 to missing)

{com}.         fre test_educ_apolbur
{res}
{txt}test_educ_apolbur
{txt}{hline 9}{hline 1}{c TT}{hline 44}
{txt}        {txt}  {c |}      Freq.    Percent      Valid       Cum.
{txt}{hline 9}{hline 1}{c +}{hline 44}
{txt}Missing . {c |}{res}         61     100.00                      
{txt}{hline 9}{hline 1}{c BT}{hline 44}

{com}.         assert inlist(test_educ_apolbur,.,1)
{txt}
{com}.         
.         drop test_educ_apolbur
{txt}
{com}.         
.         * slry_elecpolbur
.         
.         lab var slry_elecpolbur "Earning more bureaucrat or politician (elec. politician)"
{txt}
{com}.         
.         fre slry_elecpolbur
{res}
{txt}slry_elecpolbur {hline 2} Earning more bureaucrat or politician (elec. politician)
{txt}{hline 55}{hline 1}{c TT}{hline 44}
{txt}        {txt}                                                {c |}      Freq.    Percent      Valid       Cum.
{txt}{hline 55}{hline 1}{c +}{hline 44}
{txt}Valid   Both earn about the same                        {c |}{res}          4       6.56      17.39      17.39
{txt}        Bureaucrats earn much more than Politicians     {c |}{res}          5       8.20      21.74      39.13
{txt}        Bureaucrats earn slightly more than Politicians {c |}{res}          3       4.92      13.04      52.17
{txt}        Politicians earn much more than Bureaucrats     {c |}{res}          6       9.84      26.09      78.26
{txt}        Politicians earn slightly more than Bureaucrats {c |}{res}          5       8.20      21.74     100.00
{txt}        Total                                           {c |}{res}         23      37.70     100.00           
{txt}Missing                                                 {c |}{res}         38      62.30                      
{txt}Total                                                   {c |}{res}         61     100.00                      
{txt}{hline 55}{hline 1}{c BT}{hline 44}

{com}.         
.         replace slry_elecpolbur = "1" if regexm(slry_elecpolbur,"Bureaucrats earn much")
{txt}(5 real changes made)

{com}.         replace slry_elecpolbur = "2" if regexm(slry_elecpolbur,"Bureaucrats earn slightly")
{txt}(3 real changes made)

{com}.         replace slry_elecpolbur = "3" if regexm(slry_elecpolbur,"Both earn")
{txt}(4 real changes made)

{com}.         replace slry_elecpolbur = "4" if regexm(slry_elecpolbur,"Politicians earn slightly")
{txt}(5 real changes made)

{com}.         replace slry_elecpolbur = "5" if regexm(slry_elecpolbur,"Politicians earn much")
{txt}(6 real changes made)

{com}.         destring slry_elecpolbur, replace
{txt}slry_elecpolbur: all characters numeric; {res}replaced {txt}as {res}byte
{txt}(38 missing values generated)
{res}{txt}
{com}.         lab def slry_elecpolbur 1 "Bureaucrats earn much more" 2 "Bureaucrats earn slightly more" 3 "Both earn the same" 4 "Politicians earn slightly" 5 "Politicians earn much more"
{txt}
{com}.         lab val slry_elecpolbur slry_elecpolbur
{txt}
{com}.         
.         fre slry_elecpolbur
{res}
{txt}slry_elecpolbur {hline 2} Earning more bureaucrat or politician (elec. politician)
{txt}{hline 40}{hline 1}{c TT}{hline 44}
{txt}        {txt}                                 {c |}      Freq.    Percent      Valid       Cum.
{txt}{hline 40}{hline 1}{c +}{hline 44}
{txt}Valid   1 Bureaucrats earn much more     {c |}{res}          5       8.20      21.74      21.74
{txt}        2 Bureaucrats earn slightly more {c |}{res}          3       4.92      13.04      34.78
{txt}        3 Both earn the same             {c |}{res}          4       6.56      17.39      52.17
{txt}        4 Politicians earn slightly      {c |}{res}          5       8.20      21.74      73.91
{txt}        5 Politicians earn much more     {c |}{res}          6       9.84      26.09     100.00
{txt}        Total                            {c |}{res}         23      37.70     100.00           
{txt}Missing .                                {c |}{res}         38      62.30                      
{txt}Total                                    {c |}{res}         61     100.00                      
{txt}{hline 40}{hline 1}{c BT}{hline 44}

{com}.         
.         gen test_slry_elecpolbur = (slry_elecpolbur != .)
{txt}
{com}.         replace test_slry_elecpolbur = . if asked_survey == 0 
{txt}(37 real changes made, 37 to missing)

{com}.         replace test_slry_elecpolbur = . if elecpol_ovrsee == 0
{txt}(1 real change made, 1 to missing)

{com}.         fre test_slry_elecpolbur
{res}
{txt}test_slry_elecpolbur
{txt}{hline 9}{hline 1}{c TT}{hline 44}
{txt}        {txt}  {c |}      Freq.    Percent      Valid       Cum.
{txt}{hline 9}{hline 1}{c +}{hline 44}
{txt}Valid   1 {c |}{res}         23      37.70     100.00     100.00
{txt}Missing . {c |}{res}         38      62.30                      
{txt}Total     {c |}{res}         61     100.00                      
{txt}{hline 9}{hline 1}{c BT}{hline 44}

{com}.         assert inlist(test_slry_elecpolbur,.,1)
{txt}
{com}.         
.         drop test_slry_elecpolbur
{txt}
{com}.         
.         * slry_apolbur
.         
.         lab var slry_apolbur "Earning more bureaucrat or politician (app. politician)"
{txt}
{com}.         
.         fre slry_apolbur
{res}
{txt}slry_apolbur {hline 2} Earning more bureaucrat or politician (app. politician)
{txt}{hline 8}{hline 1}{c TT}{hline 44}
{txt}        {txt} {c |}      Freq.    Percent      Valid       Cum.
{txt}{hline 8}{hline 1}{c +}{hline 44}
{txt}Missing  {c |}{res}         61     100.00                      
{txt}{hline 8}{hline 1}{c BT}{hline 44}

{com}.         
.         replace slry_apolbur = "1" if regexm(slry_apolbur,"Bureaucrats earn much")
{txt}(0 real changes made)

{com}.         replace slry_apolbur = "2" if regexm(slry_apolbur,"Bureaucrats earn slightly")
{txt}(0 real changes made)

{com}.         replace slry_apolbur = "3" if regexm(slry_apolbur,"Both earn")
{txt}(0 real changes made)

{com}.         replace slry_apolbur = "4" if regexm(slry_apolbur,"Politicians earn slightly")
{txt}(0 real changes made)

{com}.         replace slry_apolbur = "5" if regexm(slry_apolbur,"Politicians earn much")
{txt}(0 real changes made)

{com}.         destring slry_apolbur, replace
{txt}slry_apolbur: all characters numeric; {res}replaced {txt}as {res}byte
{txt}(61 missing values generated)
{res}{txt}
{com}.         lab def slry_apolbur 1 "Bureaucrats earn much more" 2 "Bureaucrats earn slightly more" 3 "Both earn the same" 4 "Politicians earn slightly" 5 "Politicians earn much more"
{txt}
{com}.         lab val slry_apolbur slry_apolbur
{txt}
{com}.         
.         fre slry_apolbur
{res}
{txt}slry_apolbur {hline 2} Earning more bureaucrat or politician (app. politician)
{txt}{hline 13}{hline 1}{c TT}{hline 44}
{txt}        {txt}      {c |}      Freq.    Percent      Valid       Cum.
{txt}{hline 13}{hline 1}{c +}{hline 44}
{txt}Missing .     {c |}{res}         61     100.00                      
{txt}{hline 13}{hline 1}{c BT}{hline 44}

{com}.         
.         gen test_slry_apolbur = (slry_apolbur != .)
{txt}
{com}.         replace test_slry_apolbur = . if asked_survey == 0
{txt}(37 real changes made, 37 to missing)

{com}.         replace test_slry_apolbur = . if aptpol_d == 0
{txt}(14 real changes made, 14 to missing)

{com}.         replace test_slry_apolbur = . if elecpol_ovrsee == 1 
{txt}(10 real changes made, 10 to missing)

{com}.         fre test_slry_apolbur
{res}
{txt}test_slry_apolbur
{txt}{hline 9}{hline 1}{c TT}{hline 44}
{txt}        {txt}  {c |}      Freq.    Percent      Valid       Cum.
{txt}{hline 9}{hline 1}{c +}{hline 44}
{txt}Missing . {c |}{res}         61     100.00                      
{txt}{hline 9}{hline 1}{c BT}{hline 44}

{com}.         assert inlist(test_slry_apolbur,.,1)
{txt}
{com}.         
.         drop test_slry_apolbur
{txt}
{com}.         
.         * We merge the payment module
.         
.         merge m:1 responseid using "`payment_module'"
{res}
{txt}{col 5}Result{col 38}# of obs.
{col 5}{hline 41}
{col 5}not matched{col 30}{res}               0
{txt}{col 5}matched{col 30}{res}              61{txt}  (_merge==3)
{col 5}{hline 41}

{com}.         drop _merge
{txt}
{com}.         order donate_d org_donation_id paid_status, after(duration_minutes)
{txt}
{com}.         
.         * fdout_epol_bgt
.         
.         lab var fdout_epol_bgt "Easy to find out about envelop (elec. politician)"
{txt}
{com}.         
.         fre fdout_epol_bgt
{res}
{txt}fdout_epol_bgt {hline 2} Easy to find out about envelop (elec. politician)
{txt}{hline 26}{hline 1}{c TT}{hline 44}
{txt}        {txt}                   {c |}      Freq.    Percent      Valid       Cum.
{txt}{hline 26}{hline 1}{c +}{hline 44}
{txt}Valid   Somewhat difficult {c |}{res}          3       4.92      13.04      13.04
{txt}        Somewhat easy      {c |}{res}          6       9.84      26.09      39.13
{txt}        Very easy          {c |}{res}         14      22.95      60.87     100.00
{txt}        Total              {c |}{res}         23      37.70     100.00           
{txt}Missing                    {c |}{res}         38      62.30                      
{txt}Total                      {c |}{res}         61     100.00                      
{txt}{hline 26}{hline 1}{c BT}{hline 44}

{com}.         
.         replace fdout_epol_bgt = "1" if regexm(fdout_epol_bgt,"Very easy")
{txt}(14 real changes made)

{com}.         replace fdout_epol_bgt = "2" if regexm(fdout_epol_bgt,"Somewhat easy")
{txt}(6 real changes made)

{com}.         replace fdout_epol_bgt = "3" if regexm(fdout_epol_bgt,"Somewhat difficult")
{txt}(3 real changes made)

{com}.         replace fdout_epol_bgt = "4" if regexm(fdout_epol_bgt,"Very difficult")
{txt}(0 real changes made)

{com}.         replace fdout_epol_bgt = "5" if regexm(fdout_epol_bgt,"Not applicable")
{txt}(0 real changes made)

{com}.         replace fdout_epol_bgt = "6" if regexm(fdout_epol_bgt,"Do not know")
{txt}(0 real changes made)

{com}.         
.         destring fdout_epol_bgt, replace
{txt}fdout_epol_bgt: all characters numeric; {res}replaced {txt}as {res}byte
{txt}(38 missing values generated)
{res}{txt}
{com}.         lab def fdout_epol_bgt 1 "Very easy" 2 "Somewhat easy" 3 "Somewhat difficult" 4 "Very difficult" 5 "Not applicable, this level of government has no spending power" 6 "Do not know / Refuse to answer"
{txt}
{com}.         lab val fdout_epol_bgt fdout_epol_bgt
{txt}
{com}.         
.         fre fdout_epol_bgt
{res}
{txt}fdout_epol_bgt {hline 2} Easy to find out about envelop (elec. politician)
{txt}{hline 28}{hline 1}{c TT}{hline 44}
{txt}        {txt}                     {c |}      Freq.    Percent      Valid       Cum.
{txt}{hline 28}{hline 1}{c +}{hline 44}
{txt}Valid   1 Very easy          {c |}{res}         14      22.95      60.87      60.87
{txt}        2 Somewhat easy      {c |}{res}          6       9.84      26.09      86.96
{txt}        3 Somewhat difficult {c |}{res}          3       4.92      13.04     100.00
{txt}        Total                {c |}{res}         23      37.70     100.00           
{txt}Missing .                    {c |}{res}         38      62.30                      
{txt}Total                        {c |}{res}         61     100.00                      
{txt}{hline 28}{hline 1}{c BT}{hline 44}

{com}.         
.         gen test_fdout_epol_bgt = (fdout_epol_bgt != .)
{txt}
{com}.         replace test_fdout_epol_bgt = . if asked_survey == 0 
{txt}(37 real changes made, 37 to missing)

{com}.         replace test_fdout_epol_bgt = . if elecpol_ovrsee == 0
{txt}(1 real change made, 1 to missing)

{com}.         fre test_fdout_epol_bgt
{res}
{txt}test_fdout_epol_bgt
{txt}{hline 9}{hline 1}{c TT}{hline 44}
{txt}        {txt}  {c |}      Freq.    Percent      Valid       Cum.
{txt}{hline 9}{hline 1}{c +}{hline 44}
{txt}Valid   1 {c |}{res}         23      37.70     100.00     100.00
{txt}Missing . {c |}{res}         38      62.30                      
{txt}Total     {c |}{res}         61     100.00                      
{txt}{hline 9}{hline 1}{c BT}{hline 44}

{com}.         assert inlist(test_fdout_epol_bgt,.,1)
{txt}
{com}.         
.         drop test_fdout_epol_bgt
{txt}
{com}.         
.         * fdout_apol_bgt
.         
.         lab var fdout_apol_bgt "Easy to find out about envelop (app. politician)"
{txt}
{com}.         
.         fre fdout_apol_bgt
{res}
{txt}fdout_apol_bgt {hline 2} Easy to find out about envelop (app. politician)
{txt}{hline 8}{hline 1}{c TT}{hline 44}
{txt}        {txt} {c |}      Freq.    Percent      Valid       Cum.
{txt}{hline 8}{hline 1}{c +}{hline 44}
{txt}Missing  {c |}{res}         61     100.00                      
{txt}{hline 8}{hline 1}{c BT}{hline 44}

{com}.         
.         replace fdout_apol_bgt = "1" if regexm(fdout_apol_bgt,"Very easy")
{txt}(0 real changes made)

{com}.         replace fdout_apol_bgt = "2" if regexm(fdout_apol_bgt,"Somewhat easy")
{txt}(0 real changes made)

{com}.         replace fdout_apol_bgt = "3" if regexm(fdout_apol_bgt,"Somewhat difficult")
{txt}(0 real changes made)

{com}.         replace fdout_apol_bgt = "4" if regexm(fdout_apol_bgt,"Very difficult")
{txt}(0 real changes made)

{com}.         replace fdout_apol_bgt = "5" if regexm(fdout_apol_bgt,"Not applicable")
{txt}(0 real changes made)

{com}.         replace fdout_apol_bgt = "6" if regexm(fdout_apol_bgt,"Do not know")
{txt}(0 real changes made)

{com}.         
.         destring fdout_apol_bgt, replace
{txt}fdout_apol_bgt: all characters numeric; {res}replaced {txt}as {res}byte
{txt}(61 missing values generated)
{res}{txt}
{com}.         lab def fdout_apol_bgt 1 "Very easy" 2 "Somewhat easy" 3 "Somewhat difficult" 4 "Very difficult" 5 "Not applicable, this level of government has no spending power" 6 "Do not know / Refuse to answer"
{txt}
{com}.         lab val fdout_apol_bgt fdout_apol_bgt
{txt}
{com}.         
.         fre fdout_apol_bgt
{res}
{txt}fdout_apol_bgt {hline 2} Easy to find out about envelop (app. politician)
{txt}{hline 13}{hline 1}{c TT}{hline 44}
{txt}        {txt}      {c |}      Freq.    Percent      Valid       Cum.
{txt}{hline 13}{hline 1}{c +}{hline 44}
{txt}Missing .     {c |}{res}         61     100.00                      
{txt}{hline 13}{hline 1}{c BT}{hline 44}

{com}.         
.         gen test_fdout_apol_bgt = (fdout_apol_bgt != .)
{txt}
{com}.         replace test_fdout_apol_bgt = . if asked_survey == 0
{txt}(37 real changes made, 37 to missing)

{com}.         replace test_fdout_apol_bgt = . if aptpol_d == 0
{txt}(14 real changes made, 14 to missing)

{com}.         replace test_fdout_apol_bgt = . if elecpol_ovrsee == 1 
{txt}(10 real changes made, 10 to missing)

{com}.         fre test_fdout_apol_bgt
{res}
{txt}test_fdout_apol_bgt
{txt}{hline 9}{hline 1}{c TT}{hline 44}
{txt}        {txt}  {c |}      Freq.    Percent      Valid       Cum.
{txt}{hline 9}{hline 1}{c +}{hline 44}
{txt}Missing . {c |}{res}         61     100.00                      
{txt}{hline 9}{hline 1}{c BT}{hline 44}

{com}.         assert inlist(test_fdout_apol_bgt,.,1)
{txt}
{com}.         
.         drop test_fdout_apol_bgt
{txt}
{com}.         
.         * budsect_epol
.         
.         lab var budsect_epol "Find about budget allocation to sectors (elec. politician)"
{txt}
{com}.         
.         fre budsect_epol
{res}
{txt}budsect_epol {hline 2} Find about budget allocation to sectors (elec. politician)
{txt}{hline 26}{hline 1}{c TT}{hline 44}
{txt}        {txt}                   {c |}      Freq.    Percent      Valid       Cum.
{txt}{hline 26}{hline 1}{c +}{hline 44}
{txt}Valid   Somewhat difficult {c |}{res}          2       3.28       8.70       8.70
{txt}        Somewhat easy      {c |}{res}          4       6.56      17.39      26.09
{txt}        Very difficult     {c |}{res}          1       1.64       4.35      30.43
{txt}        Very easy          {c |}{res}          9      14.75      39.13      69.57
{txt}        Somewhat easy      {c |}{res}          1       1.64       4.35      73.91
{txt}        Very easy          {c |}{res}          6       9.84      26.09     100.00
{txt}        Total              {c |}{res}         23      37.70     100.00           
{txt}Missing                    {c |}{res}         38      62.30                      
{txt}Total                      {c |}{res}         61     100.00                      
{txt}{hline 26}{hline 1}{c BT}{hline 44}

{com}.         
.         replace budsect_epol = "1" if regexm(budsect_epol,"Very easy")
{txt}(15 real changes made)

{com}.         replace budsect_epol = "2" if regexm(budsect_epol,"Somewhat easy")
{txt}(5 real changes made)

{com}.         replace budsect_epol = "3" if regexm(budsect_epol,"Somewhat difficult")
{txt}(2 real changes made)

{com}.         replace budsect_epol = "4" if regexm(budsect_epol,"Very difficult")
{txt}(1 real change made)

{com}.         replace budsect_epol = "5" if regexm(budsect_epol,"Not applicable")
{txt}(0 real changes made)

{com}.         replace budsect_epol = "6" if regexm(budsect_epol,"Do not know")
{txt}(0 real changes made)

{com}.         
.         destring budsect_epol, replace
{txt}budsect_epol: all characters numeric; {res}replaced {txt}as {res}byte
{txt}(38 missing values generated)
{res}{txt}
{com}.         lab def budsect_epol 1 "Very easy" 2 "Somewhat easy" 3 "Somewhat difficult" 4 "Very difficult" 5 "Not applicable, this level of government has no spending power" 6 "Do not know / Refuse to answer"
{txt}
{com}.         lab val budsect_epol budsect_epol
{txt}
{com}.         
.         fre budsect_epol
{res}
{txt}budsect_epol {hline 2} Find about budget allocation to sectors (elec. politician)
{txt}{hline 28}{hline 1}{c TT}{hline 44}
{txt}        {txt}                     {c |}      Freq.    Percent      Valid       Cum.
{txt}{hline 28}{hline 1}{c +}{hline 44}
{txt}Valid   1 Very easy          {c |}{res}         15      24.59      65.22      65.22
{txt}        2 Somewhat easy      {c |}{res}          5       8.20      21.74      86.96
{txt}        3 Somewhat difficult {c |}{res}          2       3.28       8.70      95.65
{txt}        4 Very difficult     {c |}{res}          1       1.64       4.35     100.00
{txt}        Total                {c |}{res}         23      37.70     100.00           
{txt}Missing .                    {c |}{res}         38      62.30                      
{txt}Total                        {c |}{res}         61     100.00                      
{txt}{hline 28}{hline 1}{c BT}{hline 44}

{com}.         
.         gen test_budsect_epol = (budsect_epol != .)
{txt}
{com}.         replace test_budsect_epol = . if asked_survey == 0 
{txt}(37 real changes made, 37 to missing)

{com}.         replace test_budsect_epol = . if elecpol_ovrsee == 0
{txt}(1 real change made, 1 to missing)

{com}.         fre test_budsect_epol
{res}
{txt}test_budsect_epol
{txt}{hline 9}{hline 1}{c TT}{hline 44}
{txt}        {txt}  {c |}      Freq.    Percent      Valid       Cum.
{txt}{hline 9}{hline 1}{c +}{hline 44}
{txt}Valid   1 {c |}{res}         23      37.70     100.00     100.00
{txt}Missing . {c |}{res}         38      62.30                      
{txt}Total     {c |}{res}         61     100.00                      
{txt}{hline 9}{hline 1}{c BT}{hline 44}

{com}.         assert inlist(test_budsect_epol,.,1)
{txt}
{com}.         
.         drop test_budsect_epol
{txt}
{com}.         
.         * budsect_apol
.         
.         lab var budsect_apol "Find about budget allocation to sectors (app. politician)"
{txt}
{com}.         
.         fre budsect_apol
{res}
{txt}budsect_apol {hline 2} Find about budget allocation to sectors (app. politician)
{txt}{hline 8}{hline 1}{c TT}{hline 44}
{txt}        {txt} {c |}      Freq.    Percent      Valid       Cum.
{txt}{hline 8}{hline 1}{c +}{hline 44}
{txt}Missing  {c |}{res}         61     100.00                      
{txt}{hline 8}{hline 1}{c BT}{hline 44}

{com}.         
.         replace budsect_apol = "1" if regexm(budsect_apol,"Very easy")
{txt}(0 real changes made)

{com}.         replace budsect_apol = "2" if regexm(budsect_apol,"Somewhat easy")
{txt}(0 real changes made)

{com}.         replace budsect_apol = "3" if regexm(budsect_apol,"Somewhat difficult")
{txt}(0 real changes made)

{com}.         replace budsect_apol = "4" if regexm(budsect_apol,"Very difficult")
{txt}(0 real changes made)

{com}.         replace budsect_apol = "5" if regexm(budsect_apol,"Not applicable")
{txt}(0 real changes made)

{com}.         replace budsect_apol = "6" if regexm(budsect_apol,"Do not know")
{txt}(0 real changes made)

{com}.         
.         destring budsect_apol, replace
{txt}budsect_apol: all characters numeric; {res}replaced {txt}as {res}byte
{txt}(61 missing values generated)
{res}{txt}
{com}.         lab def budsect_apol 1 "Very easy" 2 "Somewhat easy" 3 "Somewhat difficult" 4 "Very difficult" 5 "Not applicable, this level of government has no spending power" 6 "Do not know / Refuse to answer"
{txt}
{com}.         lab val budsect_apol budsect_apol
{txt}
{com}.         
.         fre budsect_apol
{res}
{txt}budsect_apol {hline 2} Find about budget allocation to sectors (app. politician)
{txt}{hline 13}{hline 1}{c TT}{hline 44}
{txt}        {txt}      {c |}      Freq.    Percent      Valid       Cum.
{txt}{hline 13}{hline 1}{c +}{hline 44}
{txt}Missing .     {c |}{res}         61     100.00                      
{txt}{hline 13}{hline 1}{c BT}{hline 44}

{com}.         
.         gen test_budsect_apol = (budsect_apol != .)
{txt}
{com}.         replace test_budsect_apol = . if asked_survey == 0
{txt}(37 real changes made, 37 to missing)

{com}.         replace test_budsect_apol = . if aptpol_d == 0
{txt}(14 real changes made, 14 to missing)

{com}.         replace test_budsect_apol = . if elecpol_ovrsee == 1 
{txt}(10 real changes made, 10 to missing)

{com}.         fre test_budsect_apol
{res}
{txt}test_budsect_apol
{txt}{hline 9}{hline 1}{c TT}{hline 44}
{txt}        {txt}  {c |}      Freq.    Percent      Valid       Cum.
{txt}{hline 9}{hline 1}{c +}{hline 44}
{txt}Missing . {c |}{res}         61     100.00                      
{txt}{hline 9}{hline 1}{c BT}{hline 44}

{com}.         assert inlist(test_budsect_apol,.,1)
{txt}
{com}.         
.         drop test_budsect_apol
{txt}
{com}.         
.         * acinfexp_epol
.         
.         lab var acinfexp_epol "Obtain detailed info about expenditures (elec. politician)"
{txt}
{com}.         
.         fre acinfexp_epol
{res}
{txt}acinfexp_epol {hline 2} Obtain detailed info about expenditures (elec. politician)
{txt}{hline 26}{hline 1}{c TT}{hline 44}
{txt}        {txt}                   {c |}      Freq.    Percent      Valid       Cum.
{txt}{hline 26}{hline 1}{c +}{hline 44}
{txt}Valid   Somewhat difficult {c |}{res}          5       8.20      21.74      21.74
{txt}        Somewhat easy      {c |}{res}          3       4.92      13.04      34.78
{txt}        Very difficult     {c |}{res}          1       1.64       4.35      39.13
{txt}        Very easy          {c |}{res}         14      22.95      60.87     100.00
{txt}        Total              {c |}{res}         23      37.70     100.00           
{txt}Missing                    {c |}{res}         38      62.30                      
{txt}Total                      {c |}{res}         61     100.00                      
{txt}{hline 26}{hline 1}{c BT}{hline 44}

{com}.         
.         replace acinfexp_epol = "1" if regexm(acinfexp_epol,"Very easy")
{txt}(14 real changes made)

{com}.         replace acinfexp_epol = "2" if regexm(acinfexp_epol,"Somewhat easy")
{txt}(3 real changes made)

{com}.         replace acinfexp_epol = "3" if regexm(acinfexp_epol,"Somewhat difficult")
{txt}(5 real changes made)

{com}.         replace acinfexp_epol = "4" if regexm(acinfexp_epol,"Very difficult")
{txt}(1 real change made)

{com}.         replace acinfexp_epol = "5" if regexm(acinfexp_epol,"Not applicable")
{txt}(0 real changes made)

{com}.         replace acinfexp_epol = "6" if regexm(acinfexp_epol,"Do not know")
{txt}(0 real changes made)

{com}.         
.         destring acinfexp_epol, replace
{txt}acinfexp_epol: all characters numeric; {res}replaced {txt}as {res}byte
{txt}(38 missing values generated)
{res}{txt}
{com}.         lab def acinfexp_epol 1 "Very easy" 2 "Somewhat easy" 3 "Somewhat difficult" 4 "Very difficult" 5 "Not applicable, this level of government has no spending power" 6 "Do not know / Refuse to answer"
{txt}
{com}.         lab val acinfexp_epol acinfexp_epol
{txt}
{com}.         
.         fre acinfexp_epol
{res}
{txt}acinfexp_epol {hline 2} Obtain detailed info about expenditures (elec. politician)
{txt}{hline 28}{hline 1}{c TT}{hline 44}
{txt}        {txt}                     {c |}      Freq.    Percent      Valid       Cum.
{txt}{hline 28}{hline 1}{c +}{hline 44}
{txt}Valid   1 Very easy          {c |}{res}         14      22.95      60.87      60.87
{txt}        2 Somewhat easy      {c |}{res}          3       4.92      13.04      73.91
{txt}        3 Somewhat difficult {c |}{res}          5       8.20      21.74      95.65
{txt}        4 Very difficult     {c |}{res}          1       1.64       4.35     100.00
{txt}        Total                {c |}{res}         23      37.70     100.00           
{txt}Missing .                    {c |}{res}         38      62.30                      
{txt}Total                        {c |}{res}         61     100.00                      
{txt}{hline 28}{hline 1}{c BT}{hline 44}

{com}.         
.         gen test_acinfexp_epol = (acinfexp_epol != .)
{txt}
{com}.         replace test_acinfexp_epol = . if asked_survey == 0 
{txt}(37 real changes made, 37 to missing)

{com}.         replace test_acinfexp_epol = . if elecpol_ovrsee == 0
{txt}(1 real change made, 1 to missing)

{com}.         fre test_acinfexp_epol
{res}
{txt}test_acinfexp_epol
{txt}{hline 9}{hline 1}{c TT}{hline 44}
{txt}        {txt}  {c |}      Freq.    Percent      Valid       Cum.
{txt}{hline 9}{hline 1}{c +}{hline 44}
{txt}Valid   1 {c |}{res}         23      37.70     100.00     100.00
{txt}Missing . {c |}{res}         38      62.30                      
{txt}Total     {c |}{res}         61     100.00                      
{txt}{hline 9}{hline 1}{c BT}{hline 44}

{com}.         assert inlist(test_acinfexp_epol,.,1)
{txt}
{com}.         
.         drop test_acinfexp_epol
{txt}
{com}.         
.         * acinfexp_apol
.         
.         lab var acinfexp_apol "Obtain detailed info about expenditures (app. politician)"
{txt}
{com}.         
.         fre acinfexp_apol
{res}
{txt}acinfexp_apol {hline 2} Obtain detailed info about expenditures (app. politician)
{txt}{hline 8}{hline 1}{c TT}{hline 44}
{txt}        {txt} {c |}      Freq.    Percent      Valid       Cum.
{txt}{hline 8}{hline 1}{c +}{hline 44}
{txt}Missing  {c |}{res}         61     100.00                      
{txt}{hline 8}{hline 1}{c BT}{hline 44}

{com}.         
.         replace acinfexp_apol = "1" if regexm(acinfexp_apol,"Very easy")
{txt}(0 real changes made)

{com}.         replace acinfexp_apol = "2" if regexm(acinfexp_apol,"Somewhat easy")
{txt}(0 real changes made)

{com}.         replace acinfexp_apol = "3" if regexm(acinfexp_apol,"Somewhat difficult")
{txt}(0 real changes made)

{com}.         replace acinfexp_apol = "4" if regexm(acinfexp_apol,"Very difficult")
{txt}(0 real changes made)

{com}.         replace acinfexp_apol = "5" if regexm(acinfexp_apol,"Not applicable")
{txt}(0 real changes made)

{com}.         replace acinfexp_apol = "6" if regexm(acinfexp_apol,"Do not know")
{txt}(0 real changes made)

{com}.         
.         destring acinfexp_apol, replace
{txt}acinfexp_apol: all characters numeric; {res}replaced {txt}as {res}byte
{txt}(61 missing values generated)
{res}{txt}
{com}.         lab def acinfexp_apol 1 "Very easy" 2 "Somewhat easy" 3 "Somewhat difficult" 4 "Very difficult" 5 "Not applicable, this level of government has no spending power" 6 "Do not know / Refuse to answer"
{txt}
{com}.         lab val acinfexp_apol acinfexp_apol
{txt}
{com}.         
.         fre acinfexp_apol
{res}
{txt}acinfexp_apol {hline 2} Obtain detailed info about expenditures (app. politician)
{txt}{hline 13}{hline 1}{c TT}{hline 44}
{txt}        {txt}      {c |}      Freq.    Percent      Valid       Cum.
{txt}{hline 13}{hline 1}{c +}{hline 44}
{txt}Missing .     {c |}{res}         61     100.00                      
{txt}{hline 13}{hline 1}{c BT}{hline 44}

{com}.         
.         gen test_acinfexp_apol = (acinfexp_apol != .)
{txt}
{com}.         replace test_acinfexp_apol = . if asked_survey == 0
{txt}(37 real changes made, 37 to missing)

{com}.         replace test_acinfexp_apol = . if aptpol_d == 0
{txt}(14 real changes made, 14 to missing)

{com}.         replace test_acinfexp_apol = . if elecpol_ovrsee == 1 
{txt}(10 real changes made, 10 to missing)

{com}.         fre test_acinfexp_apol
{res}
{txt}test_acinfexp_apol
{txt}{hline 9}{hline 1}{c TT}{hline 44}
{txt}        {txt}  {c |}      Freq.    Percent      Valid       Cum.
{txt}{hline 9}{hline 1}{c +}{hline 44}
{txt}Missing . {c |}{res}         61     100.00                      
{txt}{hline 9}{hline 1}{c BT}{hline 44}

{com}.         assert inlist(test_acinfexp_apol,.,1)
{txt}
{com}.         
.         drop test_acinfexp_apol
{txt}
{com}.         
.         * understand_epol
.         
.         lab var understand_epol "Has capacity to read/understand budget (elec. politician)"
{txt}
{com}.         
.         fre understand_epol
{res}
{txt}understand_epol {hline 2} Has capacity to read/understand budget (elec. politician)
{txt}{hline 28}{hline 1}{c TT}{hline 44}
{txt}        {txt}                     {c |}      Freq.    Percent      Valid       Cum.
{txt}{hline 28}{hline 1}{c +}{hline 44}
{txt}Valid   Definitely capable   {c |}{res}          1       1.64       5.26       5.26
{txt}        Only with difficulty {c |}{res}          2       3.28      10.53      15.79
{txt}        Somewhat capable     {c |}{res}          9      14.75      47.37      63.16
{txt}        Definitely capable   {c |}{res}          2       3.28      10.53      73.68
{txt}        Only with difficulty {c |}{res}          1       1.64       5.26      78.95
{txt}        Somewhat capable     {c |}{res}          4       6.56      21.05     100.00
{txt}        Total                {c |}{res}         19      31.15     100.00           
{txt}Missing                      {c |}{res}         42      68.85                      
{txt}Total                        {c |}{res}         61     100.00                      
{txt}{hline 28}{hline 1}{c BT}{hline 44}

{com}.         
.         replace understand_epol = "1" if regexm(understand_epol,"Definitely capable")
{txt}(3 real changes made)

{com}.         replace understand_epol = "2" if regexm(understand_epol,"Somewhat capable")
{txt}(13 real changes made)

{com}.         replace understand_epol = "3" if regexm(understand_epol,"Only with difficulty")
{txt}(3 real changes made)

{com}.         replace understand_epol = "4" if regexm(understand_epol,"Not capable")
{txt}(0 real changes made)

{com}.         replace understand_epol = "5" if regexm(understand_epol,"Do not know")
{txt}(0 real changes made)

{com}.         
.         fre understand_epol
{res}
{txt}understand_epol {hline 2} Has capacity to read/understand budget (elec. politician)
{txt}{hline 13}{hline 1}{c TT}{hline 44}
{txt}        {txt}      {c |}      Freq.    Percent      Valid       Cum.
{txt}{hline 13}{hline 1}{c +}{hline 44}
{txt}Valid   1     {c |}{res}          3       4.92      15.79      15.79
{txt}        2     {c |}{res}         13      21.31      68.42      84.21
{txt}        3     {c |}{res}          3       4.92      15.79     100.00
{txt}        Total {c |}{res}         19      31.15     100.00           
{txt}Missing       {c |}{res}         42      68.85                      
{txt}Total         {c |}{res}         61     100.00                      
{txt}{hline 13}{hline 1}{c BT}{hline 44}

{com}.         
.         destring understand_epol, replace
{txt}understand_epol: all characters numeric; {res}replaced {txt}as {res}byte
{txt}(42 missing values generated)
{res}{txt}
{com}.         lab def understand_epol 1 "Definitely capable" 2 "Somewhat capable" 3 "Only with difficulty" 4 "Not capable" 5 "Do not know / Refuse to answer"
{txt}
{com}.         lab val understand_epol understand_epol
{txt}
{com}.         
.         fre understand_epol
{res}
{txt}understand_epol {hline 2} Has capacity to read/understand budget (elec. politician)
{txt}{hline 30}{hline 1}{c TT}{hline 44}
{txt}        {txt}                       {c |}      Freq.    Percent      Valid       Cum.
{txt}{hline 30}{hline 1}{c +}{hline 44}
{txt}Valid   1 Definitely capable   {c |}{res}          3       4.92      15.79      15.79
{txt}        2 Somewhat capable     {c |}{res}         13      21.31      68.42      84.21
{txt}        3 Only with difficulty {c |}{res}          3       4.92      15.79     100.00
{txt}        Total                  {c |}{res}         19      31.15     100.00           
{txt}Missing .                      {c |}{res}         42      68.85                      
{txt}Total                          {c |}{res}         61     100.00                      
{txt}{hline 30}{hline 1}{c BT}{hline 44}

{com}.         
.         gen test_understand_epol = (understand_epol != .)
{txt}
{com}.         replace test_understand_epol = . if asked_survey == 0 
{txt}(37 real changes made, 37 to missing)

{com}.         replace test_understand_epol = . if elecpol_ovrsee == 0
{txt}(1 real change made, 1 to missing)

{com}.         fre test_understand_epol
{res}
{txt}test_understand_epol
{txt}{hline 13}{hline 1}{c TT}{hline 44}
{txt}        {txt}      {c |}      Freq.    Percent      Valid       Cum.
{txt}{hline 13}{hline 1}{c +}{hline 44}
{txt}Valid   0     {c |}{res}          4       6.56      17.39      17.39
{txt}        1     {c |}{res}         19      31.15      82.61     100.00
{txt}        Total {c |}{res}         23      37.70     100.00           
{txt}Missing .     {c |}{res}         38      62.30                      
{txt}Total         {c |}{res}         61     100.00                      
{txt}{hline 13}{hline 1}{c BT}{hline 44}

{com}.         *assert inlist(test_understand_epol,.,1)
.         
.         *drop test_understand_epol
.         
.         * understand_apol
.         
.         lab var understand_apol "Has capacity to read/understand budget (app. politician)"
{txt}
{com}.         
.         fre understand_apol
{res}
{txt}understand_apol {hline 2} Has capacity to read/understand budget (app. politician)
{txt}{hline 28}{hline 1}{c TT}{hline 44}
{txt}        {txt}                     {c |}      Freq.    Percent      Valid       Cum.
{txt}{hline 28}{hline 1}{c +}{hline 44}
{txt}Valid   Definitely capable   {c |}{res}          1       1.64      50.00      50.00
{txt}        Only with difficulty {c |}{res}          1       1.64      50.00     100.00
{txt}        Total                {c |}{res}          2       3.28     100.00           
{txt}Missing                      {c |}{res}         59      96.72                      
{txt}Total                        {c |}{res}         61     100.00                      
{txt}{hline 28}{hline 1}{c BT}{hline 44}

{com}.         
.         replace understand_apol = "1" if regexm(understand_apol,"Definitely capable")
{txt}(1 real change made)

{com}.         replace understand_apol = "2" if regexm(understand_apol,"Somewhat capable")
{txt}(0 real changes made)

{com}.         replace understand_apol = "3" if regexm(understand_apol,"Only with difficulty")
{txt}(1 real change made)

{com}.         replace understand_apol = "4" if regexm(understand_apol,"Not capable")
{txt}(0 real changes made)

{com}.         replace understand_apol = "5" if regexm(understand_apol,"Do not know")
{txt}(0 real changes made)

{com}.         
.         destring understand_apol, replace
{txt}understand_apol: all characters numeric; {res}replaced {txt}as {res}byte
{txt}(59 missing values generated)
{res}{txt}
{com}.         lab def understand_apol 1 "Definitely capable" 2 "Somewhat capable" 3 "Only with difficulty" 4 "Not capable" 5 "Do not know / Refuse to answer"
{txt}
{com}.         lab val understand_apol understand_apol
{txt}
{com}.         
.         fre understand_apol
{res}
{txt}understand_apol {hline 2} Has capacity to read/understand budget (app. politician)
{txt}{hline 30}{hline 1}{c TT}{hline 44}
{txt}        {txt}                       {c |}      Freq.    Percent      Valid       Cum.
{txt}{hline 30}{hline 1}{c +}{hline 44}
{txt}Valid   1 Definitely capable   {c |}{res}          1       1.64      50.00      50.00
{txt}        3 Only with difficulty {c |}{res}          1       1.64      50.00     100.00
{txt}        Total                  {c |}{res}          2       3.28     100.00           
{txt}Missing .                      {c |}{res}         59      96.72                      
{txt}Total                          {c |}{res}         61     100.00                      
{txt}{hline 30}{hline 1}{c BT}{hline 44}

{com}.         
.         gen test_understand_apol = (understand_apol != .)
{txt}
{com}.         replace test_understand_apol = . if asked_survey == 0
{txt}(37 real changes made, 37 to missing)

{com}.         replace test_understand_apol = . if aptpol_d == 0
{txt}(14 real changes made, 14 to missing)

{com}.         replace test_understand_apol = . if elecpol_ovrsee == 1 
{txt}(10 real changes made, 10 to missing)

{com}.         fre test_understand_apol
{res}
{txt}test_understand_apol
{txt}{hline 9}{hline 1}{c TT}{hline 44}
{txt}        {txt}  {c |}      Freq.    Percent      Valid       Cum.
{txt}{hline 9}{hline 1}{c +}{hline 44}
{txt}Missing . {c |}{res}         61     100.00                      
{txt}{hline 9}{hline 1}{c BT}{hline 44}

{com}.         assert inlist(test_understand_apol,.,1)
{txt}
{com}.         
.         drop test_understand_apol
{txt}
{com}.         
.         * acttake_epol
.         
.         lab var acttake_epol "Elec. pol not satisfied with head bureaucrat, which action"
{txt}
{com}.         fre acttake_epol
{res}
{txt}acttake_epol {hline 2} Elec. pol not satisfied with head bureaucrat, which action
{txt}{hline 58}{hline 1}{c TT}{hline 44}
{txt}        {txt}                                                   {c |}      Freq.    Percent      Valid       Cum.
{txt}{hline 58}{hline 1}{c +}{hline 44}
{txt}Valid   Complain to the ministry / higher-up bureaucrats   {c |}{res}          2       3.28       8.70       8.70
{txt}        Complain to the ministry / higher-up               {c |}{res}          1       1.64       4.35      13.04
{txt}        bureaucrats,Complain to higher-level politicians   {c |}{res}                                            
{txt}        Issue a formal warning                             {c |}{res}          1       1.64       4.35      17.39
{txt}        Issue a formal warning,Complain to the ministry /  {c |}{res}          2       3.28       8.70      26.09
{txt}        higher-up bureaucrats,Complain to higher-level     {c |}{res}                                            
{txt}        politicians                                        {c |}{res}                                            
{txt}        Other (please specify)                             {c |}{res}          2       3.28       8.70      34.78
{txt}        Request a transfer with high probability of        {c |}{res}          2       3.28       8.70      43.48
{txt}        success                                            {c |}{res}                                            
{txt}        Request a transfer with high probability of        {c |}{res}          1       1.64       4.35      47.83
{txt}        success,Issue a formal warning,Complain to the     {c |}{res}                                            
{txt}        ministry / higher-up bureaucrats                   {c |}{res}                                            
{txt}        Request a transfer with low probability of success {c |}{res}          1       1.64       4.35      52.17
{txt}        Request a transfer with low probability of         {c |}{res}          1       1.64       4.35      56.52
{txt}        success,Complain to the ministry / higher-up       {c |}{res}                                            
{txt}        bureaucrats,Bring the issue to the attention of    {c |}{res}                                            
{txt}        the media,Mobilize citizens                        {c |}{res}                                            
{txt}        Request a transfer with medium probability of      {c |}{res}          2       3.28       8.70      65.22
{txt}        success                                            {c |}{res}                                            
{txt}        Request a transfer with medium probability of      {c |}{res}          1       1.64       4.35      69.57
{txt}        success,Issue a formal warning,Complain to the     {c |}{res}                                            
{txt}        ministry / higher-up bureaucrats,Complain to       {c |}{res}                                            
{txt}        higher-level politicians                           {c |}{res}                                            
{txt}        Terminate contract/fire bureaucrat                 {c |}{res}          1       1.64       4.35      73.91
{txt}        Terminate contract/fire bureaucrat,Transfer the    {c |}{res}          3       4.92      13.04      86.96
{txt}        bureaucrat,Issue a formal warning,Bring the issue  {c |}{res}                                            
{txt}        to the attention of the media                      {c |}{res}                                            
{txt}        Transfer the bureaucrat                            {c |}{res}          1       1.64       4.35      91.30
{txt}        Transfer the bureaucrat,Other (please specify)     {c |}{res}          2       3.28       8.70     100.00
{txt}        Total                                              {c |}{res}         23      37.70     100.00           
{txt}Missing                                                    {c |}{res}         38      62.30                      
{txt}Total                                                      {c |}{res}         61     100.00                      
{txt}{hline 58}{hline 1}{c BT}{hline 44}

{com}.         
.         replace acttake_epol = subinstr(acttake_epol,"Terminate contract/fire bureaucrat","1",.)
{txt}(4 real changes made)

{com}.         
.         fre acttake_epol
{res}
{txt}acttake_epol {hline 2} Elec. pol not satisfied with head bureaucrat, which action
{txt}{hline 58}{hline 1}{c TT}{hline 44}
{txt}        {txt}                                                   {c |}      Freq.    Percent      Valid       Cum.
{txt}{hline 58}{hline 1}{c +}{hline 44}
{txt}Valid   1                                                  {c |}{res}          1       1.64       4.35       4.35
{txt}        1,Transfer the bureaucrat,Issue a formal           {c |}{res}          3       4.92      13.04      17.39
{txt}        warning,Bring the issue to the attention of the    {c |}{res}                                            
{txt}        media                                              {c |}{res}                                            
{txt}        Complain to the ministry / higher-up bureaucrats   {c |}{res}          2       3.28       8.70      26.09
{txt}        Complain to the ministry / higher-up               {c |}{res}          1       1.64       4.35      30.43
{txt}        bureaucrats,Complain to higher-level politicians   {c |}{res}                                            
{txt}        Issue a formal warning                             {c |}{res}          1       1.64       4.35      34.78
{txt}        Issue a formal warning,Complain to the ministry /  {c |}{res}          2       3.28       8.70      43.48
{txt}        higher-up bureaucrats,Complain to higher-level     {c |}{res}                                            
{txt}        politicians                                        {c |}{res}                                            
{txt}        Other (please specify)                             {c |}{res}          2       3.28       8.70      52.17
{txt}        Request a transfer with high probability of        {c |}{res}          2       3.28       8.70      60.87
{txt}        success                                            {c |}{res}                                            
{txt}        Request a transfer with high probability of        {c |}{res}          1       1.64       4.35      65.22
{txt}        success,Issue a formal warning,Complain to the     {c |}{res}                                            
{txt}        ministry / higher-up bureaucrats                   {c |}{res}                                            
{txt}        Request a transfer with low probability of success {c |}{res}          1       1.64       4.35      69.57
{txt}        Request a transfer with low probability of         {c |}{res}          1       1.64       4.35      73.91
{txt}        success,Complain to the ministry / higher-up       {c |}{res}                                            
{txt}        bureaucrats,Bring the issue to the attention of    {c |}{res}                                            
{txt}        the media,Mobilize citizens                        {c |}{res}                                            
{txt}        Request a transfer with medium probability of      {c |}{res}          2       3.28       8.70      82.61
{txt}        success                                            {c |}{res}                                            
{txt}        Request a transfer with medium probability of      {c |}{res}          1       1.64       4.35      86.96
{txt}        success,Issue a formal warning,Complain to the     {c |}{res}                                            
{txt}        ministry / higher-up bureaucrats,Complain to       {c |}{res}                                            
{txt}        higher-level politicians                           {c |}{res}                                            
{txt}        Transfer the bureaucrat                            {c |}{res}          1       1.64       4.35      91.30
{txt}        Transfer the bureaucrat,Other (please specify)     {c |}{res}          2       3.28       8.70     100.00
{txt}        Total                                              {c |}{res}         23      37.70     100.00           
{txt}Missing                                                    {c |}{res}         38      62.30                      
{txt}Total                                                      {c |}{res}         61     100.00                      
{txt}{hline 58}{hline 1}{c BT}{hline 44}

{com}.         
.         e

{txt}end of do-file


{com}. do "/var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//SD44938.000000"
{txt}
{com}. 
.         * Purpose: Importing data to run HFC
.         
.         * Setting up globals
.         
.         if "`c(username)'" == "fredericcochinard" {c -(}
.                 
.                 global import_folder "/Users/fredericcochinard/Dropbox/Expert survey/Data/0.survey_dataset/0.import"
.                 global output "/Users/fredericcochinard/Dropbox/Expert survey/Data/0.survey_dataset/1.output"
.                 
.                 {c )-}
{txt}
{com}.                 
.         if "`c(username)'" == "" {c -(}
.         
.                 
.                 {c )-}
{txt}
{com}.         
.         * Looking for renaming folder with problem
.         
.         local myfiles: dir "$import_folder" files "*.xlsx"
{txt}
{com}. 
.         foreach file of local myfiles {c -(}
{txt}  2{com}.                 
.                 local subfile = substr("`file'", 1, .)
{txt}  3{com}.                 local subfile : subinstr local subfile " " "_", all
{txt}  4{com}.                 ! mv "${c -(}import_folder{c )-}/`file'" "${c -(}import_folder{c )-}/`subfile'"
{txt}  5{com}.                 
.                 {c )-}
{txt}

{com}.         
.         * Looking for dataset
.         
.         filelist , dir("$import_folder") pat("*.xlsx")
{res}{txt}Number of files found = {res}1
{txt}
{com}.         
.         gen url = filename
{txt}
{com}.         
.         levelsof url
{txt}`"Expert_survey_February_18,_2025_16.23.xlsx"'

{com}. 
.         local lvlfiles `r(levels)'
{txt}
{com}.         
.         local z = 0
{txt}
{com}.         
.         foreach lvl of local lvlfiles {c -(}
{txt}  2{com}.         
.                 local z = `z' + 1
{txt}  3{com}.                 
.                 local temp : subinstr local lvl `"""' "", all
{txt}  4{com}.                 local url : subinstr local temp "'" "", all
{txt}  5{com}.         
.                 import excel "${c -(}import_folder{c )-}/`url'", first case(lower) clear
{txt}  6{com}.                 
.                 gen num = _n
{txt}  7{com}.                 drop if num == 1
{txt}  8{com}.                 
.                 * Preparing the append
.                 
.                 tempfile data`z'
{txt}  9{com}.                 sa "`data`z''"
{txt} 10{com}.                 
.                 {c )-}
{res}{txt}(1 observation deleted)
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.000001 saved

{com}.                 
.         * We append the dataset to start cleaning
.         
.         use "`data1'", clear
{txt}
{com}.         
.         forvalues x = 2/`z' {c -(}
{txt}  2{com}.         
.                 append using "`data`x''"
{txt}  3{com}.                 
.                 {c )-}
{txt}
{com}.                 
.         duplicates drop

{p 0 4}{txt}Duplicates in terms of {txt} all variables{p_end}

(0 observations are duplicates)

{com}.         
.         * We keep relevant variable
.         drop if recipientemail == "frederic.cochinard@gmail.com"
{txt}(8 observations deleted)

{com}.         drop if recipientemail == "vedpant+spanish@college.harvard.edu"
{txt}(1 observation deleted)

{com}.         drop if recipientemail == "frederic.cochinard+3@gmail.com"
{txt}(1 observation deleted)

{com}.         drop if recipientemail == "frederic.cochinard+1@gmail.com"
{txt}(1 observation deleted)

{com}.         
.         * We remove observation that are not finished
.         drop if finished == "False"
{txt}(9 observations deleted)

{com}.         
.         * We create a save
.         
.         tempfile save_data
{txt}
{com}.         sa "`save_data'"
{txt}file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.000002 saved

{com}.         
.         ******************
.         * Payment module *
.         ******************
.         
.         preserve
{txt}
{com}.         
.         keep responseid method_pay_bank_in_q-q977
{txt}
{com}.         compress
  {txt}variable {bf}method_pay_bank_in_q{sf} was {bf}{res}str237{sf}{txt} now {bf}{res}str24{sf}
  {txt}variable {bf}expert_donation_org{sf} was {bf}{res}str129{sf}{txt} now {bf}{res}str23{sf}
  {txt}variable {bf}q967{sf} was {bf}{res}str236{sf}{txt} now {bf}{res}str65{sf}
  {txt}variable {bf}q978{sf} was {bf}{res}str326{sf}{txt} now {bf}{res}str16{sf}
  {txt}variable {bf}q979{sf} was {bf}{res}str104{sf}{txt} now {bf}{res}str39{sf}
  {txt}variable {bf}q980{sf} was {bf}{res}str95{sf}{txt} now {bf}{res}str11{sf}
  {txt}variable {bf}q987{sf} was {bf}{res}str170{sf}{txt} now {bf}{res}str24{sf}
  {txt}variable {bf}q984{sf} was {bf}{res}str326{sf}{txt} now {bf}{res}str1{sf}
  {txt}variable {bf}q985{sf} was {bf}{res}str104{sf}{txt} now {bf}{res}str1{sf}
  {txt}variable {bf}q986{sf} was {bf}{res}str95{sf}{txt} now {bf}{res}str1{sf}
  {txt}variable {bf}q988{sf} was {bf}{res}str170{sf}{txt} now {bf}{res}str1{sf}
  {txt}variable {bf}q989{sf} was {bf}{res}str559{sf}{txt} now {bf}{res}str1{sf}
  {txt}variable {bf}q990{sf} was {bf}{res}str102{sf}{txt} now {bf}{res}str1{sf}
  {txt}variable {bf}q991{sf} was {bf}{res}str93{sf}{txt} now {bf}{res}str1{sf}
  {txt}variable {bf}q992{sf} was {bf}{res}str170{sf}{txt} now {bf}{res}str1{sf}
  {txt}variable {bf}q998{sf} was {bf}{res}str537{sf}{txt} now {bf}{res}str1{sf}
  {txt}variable {bf}q997{sf} was {bf}{res}str105{sf}{txt} now {bf}{res}str1{sf}
  {txt}variable {bf}q999{sf} was {bf}{res}str104{sf}{txt} now {bf}{res}str1{sf}
  {txt}variable {bf}q1000{sf} was {bf}{res}str95{sf}{txt} now {bf}{res}str1{sf}
  {txt}variable {bf}q1001{sf} was {bf}{res}str170{sf}{txt} now {bf}{res}str1{sf}
  {txt}variable {bf}q977{sf} was {bf}{res}str502{sf}{txt} now {bf}{res}str23{sf}
{txt}  (46,101 bytes saved)

{com}.         
.         * Donate_d
.         
.         gen donate_d = 0
{txt}
{com}.         replace donate_d = 1 if method_pay_bank_in_q == "I prefer to donate"
{txt}(3 real changes made)

{com}.         
.         * Special case
.         replace donate_d = 1 if responseid == "R_4ouc7tR6BFj3gpb" // respondent is refusing to take money in comments
{txt}(1 real change made)

{com}.         replace donate_d = 1 if responseid == "R_4Iow7YzsoT2KTOx" // respondent is writing cancel in comments
{txt}(1 real change made)

{com}.         
.         lab var donate_d "Respondent decided to donate"
{txt}
{com}.         lab def donate_d 0 "No" 1 "Yes"
{txt}
{com}.         lab val donate_d donate_d
{txt}
{com}.         order donate_d, after(responseid)
{txt}
{com}.         
.         * Org
.         
.         gen org_donation_id = "" 
{txt}(11 missing values generated)

{com}.         replace org_donation_id = expert_donation_org if donate_d == 1
{txt}variable {bf}org_donation_id{sf} was {bf}{res}str1{sf}{txt} now {bf}{res}str23{sf}
{txt}(3 real changes made)

{com}.         replace org_donation_id = "No choice" if donate_d == 1 & org_donation_id == ""
{txt}(2 real changes made)

{com}.         lab var org_donation_id "Name of the organization the respondent chose to donate"
{txt}
{com}.         order org_donation_id, after(donate_d)
{txt}
{com}.         
.         * Paid status
.         
.         gen paid_status = 0
{txt}
{com}.         replace paid_status = 2 if donate_d == 1
{txt}(5 real changes made)

{com}.         
.         * Case of payment
.         
.         lab var paid_status "Status of payment of the respondent"
{txt}
{com}.         lab def paid_status 0 "Not yet" 1 "Yes" 2 "Donation"
{txt}
{com}.         lab val paid_status paid_status
{txt}
{com}.         order paid_status, after(org_donation_id)
{txt}
{com}.         
.         keep responseid donate_d org_donation_id paid_status
{txt}
{com}.         
.         tempfile payment_module
{txt}
{com}.         sa "`payment_module'"
{txt}file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.000004 saved

{com}.         
.         restore
{txt}
{com}.         
.         * Main form of survey 
.         keep country full_name recipientemail responseid progress durationinseconds finished userlanguage num_unit confirmation_* ///
>         title_bur* elecpol_ovrsee* title_elecpol* aptpol_d* title_aptpol* who_aptpol* mostinf_servdel* educ_elecpolbur* ///
>         educ_apolbur* slry_elecpolbur* slry_apolbur* fdout_epol_bgt* fdout_apol_bgt* budsect_epol* budsect_apol* acinfexp_epol* /// 
>         acinfexp_apol* understand_epol* understand_apol* acttake_epol* acttake_epol* acttake_apol* acttake_apol* likely* why_likchan* /// 
>         who_apt_bur* who_apt_bur* who_fir_bur* who_fir_bur* ocap_epol* ocap_apol* prio_epol* prio_apol* overall_conf* avg_educ_epol* ///
>         avg_educ_apol* avg_educ_buro* avg_slry_epol* avg_slry_apol* avg_slry_buro* //
{txt}
{com}.         
.         destring durationinseconds progress, replace
{txt}durationinseconds: all characters numeric; {res}replaced {txt}as {res}int
{txt}progress: all characters numeric; {res}replaced {txt}as {res}byte
{txt}
{com}.         replace durationinseconds = round(durationinseconds/60)
{txt}(11 real changes made)

{com}.         ren durationinseconds duration_minutes
{res}{txt}
{com}. 
.         *--
.         
.         local id country full_name recipientemail responseid userlanguage num_unit finished progress duration_minutes
{txt}
{com}.         
.         order `id', first
{txt}
{com}.         duplicates drop `id', force

{p 0 4}{txt}Duplicates in terms of {res} country full_name recipientemail responseid userlanguage num_unit finished progress duration_minutes{p_end}

{txt}(0 observations are duplicates)

{com}.         
.         * Renaming others
.         
.         forvalues x = 1/3 {c -(}
{txt}  2{com}.                 
.                 forvalues y = 1/6 {c -(} 
{txt}  3{com}.                 
.                         cap ren who_apt_bur_`x'_`y'_8_text who_apt_buroth_`x'_`y'
{txt}  4{com}.                         cap ren who_fir_bur_`x'_`y'_8_text who_fir_buroth_`x'_`y'
{txt}  5{com}.                         cap ren acttake_epol_`x'_`y'_9_text acttake_epoloth_`x'_`y'
{txt}  6{com}.                         cap ren acttake_apol_`x'_`y'_9_text acttake_apoloth_`x'_`y'
{txt}  7{com}.                         
.                         {c )-}
{txt}  8{com}.                         
.                 {c )-}
{txt}
{com}.         
.         #delimit ;
{txt}delimiter now ;
{com}.         local var confirmation
>         title_bur 
>         elecpol_ovrsee
>         title_elecpol
>         aptpol_d
>         title_aptpol
>         who_aptpol
>         mostinf_servdel
>         educ_elecpolbur
>         educ_apolbur
>         slry_elecpolbur
>         slry_apolbur
>         fdout_epol_bgt
>         fdout_apol_bgt
>         budsect_epol
>         budsect_apol
>         acinfexp_epol
>         acinfexp_apol
>         understand_epol
>         understand_apol
>         acttake_epol
>         acttake_epoloth
>         acttake_apol
>         acttake_apoloth
>         likely
>         why_likchan
>         who_apt_bur
>         who_apt_buroth
>         who_fir_bur
>         who_fir_buroth
>         ocap_epol
>         ocap_apol
>         prio_epol
>         prio_apol
>         overall_conf
>         avg_educ_epol
>         avg_educ_apol
>         avg_educ_buro
>         avg_slry_epol
>         avg_slry_apol
>         avg_slry_buro
>         
>         ;
{txt}
{com}.                 #delimit cr
{txt}delimiter now cr
{com}. 
.         reshape long `var', i(`id') j(pos) s
{txt}(note: j = _1_1 _1_4 _1_5 _1_6 _2_1 _2_2 _2_4 _2_5 _2_6 _3_1 _3_2 _3_3 _3_4 _3_5 _3_6)
(note: confirmation_1_4 not found)
(note: confirmation_1_5 not found)
(note: confirmation_1_6 not found)
(note: confirmation_2_4 not found)
(note: confirmation_2_5 not found)
(note: confirmation_2_6 not found)
(note: confirmation_3_4 not found)
(note: confirmation_3_5 not found)
(note: confirmation_3_6 not found)

Data{col 36}wide{col 43}->{col 48}long
{hline 77}
Number of obs.                 {res}      11   {txt}->{res}     165
{txt}Number of variables            {res}     615   {txt}->{res}      51
{txt}j variable (15 values)                    ->   {res}pos
{txt}xij variables:
{res}confirmation_1_1 confirmation_1_4 ... confirmation_3_6{txt}->{res}confirmation
title_bur_1_1 title_bur_1_4 ... title_bur_3_6{txt}->{res}title_bur
elecpol_ovrsee_1_1 elecpol_ovrsee_1_4 ... elecpol_ovrsee_3_6{txt}->{res}elecpol_ovrsee
title_elecpol_1_1 title_elecpol_1_4 ... title_elecpol_3_6{txt}->{res}title_elecpol
aptpol_d_1_1 aptpol_d_1_4 ... aptpol_d_3_6{txt}->   {res}aptpol_d
title_aptpol_1_1 title_aptpol_1_4 ... title_aptpol_3_6{txt}->{res}title_aptpol
who_aptpol_1_1 who_aptpol_1_4 ... who_aptpol_3_6{txt}->{res}who_aptpol
mostinf_servdel_1_1 mostinf_servdel_1_4 ... mostinf_servdel_3_6{txt}->{res}mostinf_servdel
educ_elecpolbur_1_1 educ_elecpolbur_1_4 ... educ_elecpolbur_3_6{txt}->{res}educ_elecpolbur
educ_apolbur_1_1 educ_apolbur_1_4 ... educ_apolbur_3_6{txt}->{res}educ_apolbur
slry_elecpolbur_1_1 slry_elecpolbur_1_4 ... slry_elecpolbur_3_6{txt}->{res}slry_elecpolbur
slry_apolbur_1_1 slry_apolbur_1_4 ... slry_apolbur_3_6{txt}->{res}slry_apolbur
fdout_epol_bgt_1_1 fdout_epol_bgt_1_4 ... fdout_epol_bgt_3_6{txt}->{res}fdout_epol_bgt
fdout_apol_bgt_1_1 fdout_apol_bgt_1_4 ... fdout_apol_bgt_3_6{txt}->{res}fdout_apol_bgt
budsect_epol_1_1 budsect_epol_1_4 ... budsect_epol_3_6{txt}->{res}budsect_epol
budsect_apol_1_1 budsect_apol_1_4 ... budsect_apol_3_6{txt}->{res}budsect_apol
acinfexp_epol_1_1 acinfexp_epol_1_4 ... acinfexp_epol_3_6{txt}->{res}acinfexp_epol
acinfexp_apol_1_1 acinfexp_apol_1_4 ... acinfexp_apol_3_6{txt}->{res}acinfexp_apol
understand_epol_1_1 understand_epol_1_4 ... understand_epol_3_6{txt}->{res}understand_epol
understand_apol_1_1 understand_apol_1_4 ... understand_apol_3_6{txt}->{res}understand_apol
acttake_epol_1_1 acttake_epol_1_4 ... acttake_epol_3_6{txt}->{res}acttake_epol
acttake_epoloth_1_1 acttake_epoloth_1_4 ... acttake_epoloth_3_6{txt}->{res}acttake_epoloth
acttake_apol_1_1 acttake_apol_1_4 ... acttake_apol_3_6{txt}->{res}acttake_apol
acttake_apoloth_1_1 acttake_apoloth_1_4 ... acttake_apoloth_3_6{txt}->{res}acttake_apoloth
   likely_1_1 likely_1_4 ... likely_3_6   {txt}->   {res}likely
why_likchan_1_1 why_likchan_1_4 ... why_likchan_3_6{txt}->{res}why_likchan
who_apt_bur_1_1 who_apt_bur_1_4 ... who_apt_bur_3_6{txt}->{res}who_apt_bur
who_apt_buroth_1_1 who_apt_buroth_1_4 ... who_apt_buroth_3_6{txt}->{res}who_apt_buroth
who_fir_bur_1_1 who_fir_bur_1_4 ... who_fir_bur_3_6{txt}->{res}who_fir_bur
who_fir_buroth_1_1 who_fir_buroth_1_4 ... who_fir_buroth_3_6{txt}->{res}who_fir_buroth
ocap_epol_1_1 ocap_epol_1_4 ... ocap_epol_3_6{txt}->{res}ocap_epol
ocap_apol_1_1 ocap_apol_1_4 ... ocap_apol_3_6{txt}->{res}ocap_apol
prio_epol_1_1 prio_epol_1_4 ... prio_epol_3_6{txt}->{res}prio_epol
prio_apol_1_1 prio_apol_1_4 ... prio_apol_3_6{txt}->{res}prio_apol
overall_conf_1_1 overall_conf_1_4 ... overall_conf_3_6{txt}->{res}overall_conf
avg_educ_epol_1_1 avg_educ_epol_1_4 ... avg_educ_epol_3_6{txt}->{res}avg_educ_epol
avg_educ_apol_1_1 avg_educ_apol_1_4 ... avg_educ_apol_3_6{txt}->{res}avg_educ_apol
avg_educ_buro_1_1 avg_educ_buro_1_4 ... avg_educ_buro_3_6{txt}->{res}avg_educ_buro
avg_slry_epol_1_1 avg_slry_epol_1_4 ... avg_slry_epol_3_6{txt}->{res}avg_slry_epol
avg_slry_apol_1_1 avg_slry_apol_1_4 ... avg_slry_apol_3_6{txt}->{res}avg_slry_apol
avg_slry_buro_1_1 avg_slry_buro_1_4 ... avg_slry_buro_3_6{txt}->{res}avg_slry_buro
{txt}{hline 77}

{com}.         
.         * Filter data
.         
.         split pos, p("_")
{res}variables created as string: 
{txt}{col 1}pos1{col 7}pos2{col 13}pos3

{com}.         
.         drop pos1
{txt}
{com}.         ren pos2 case_n_unit
{res}{txt}
{com}.         ren pos3 unit_num
{res}{txt}
{com}.         destring case_n_unit unit_num, replace
{txt}case_n_unit: all characters numeric; {res}replaced {txt}as {res}byte
{txt}unit_num: all characters numeric; {res}replaced {txt}as {res}byte
{txt}
{com}.         order case_n_unit unit_num, after(duration_minutes)
{txt}
{com}.         drop pos
{txt}
{com}.         
.         destring num_unit, replace
{txt}num_unit: all characters numeric; {res}replaced {txt}as {res}byte
{txt}
{com}.         drop if num_unit != case_n_unit
{txt}(104 observations deleted)

{com}.         drop num_unit
{txt}
{com}.         
.         compress
  {txt}variable {bf}country{sf} was {bf}{res}str15{sf}{txt} now {bf}{res}str11{sf}
  {txt}variable {bf}full_name{sf} was {bf}{res}str28{sf}{txt} now {bf}{res}str23{sf}
  {txt}variable {bf}recipientemail{sf} was {bf}{res}str35{sf}{txt} now {bf}{res}str32{sf}
  {txt}variable {bf}userlanguage{sf} was {bf}{res}str13{sf}{txt} now {bf}{res}str2{sf}
  {txt}variable {bf}finished{sf} was {bf}{res}str8{sf}{txt} now {bf}{res}str4{sf}
  {txt}variable {bf}title_bur{sf} was {bf}{res}str448{sf}{txt} now {bf}{res}str235{sf}
  {txt}variable {bf}elecpol_ovrsee{sf} was {bf}{res}str352{sf}{txt} now {bf}{res}str3{sf}
  {txt}variable {bf}title_elecpol{sf} was {bf}{res}str312{sf}{txt} now {bf}{res}str288{sf}
  {txt}variable {bf}aptpol_d{sf} was {bf}{res}str332{sf}{txt} now {bf}{res}str30{sf}
  {txt}variable {bf}who_aptpol{sf} was {bf}{res}str96{sf}{txt} now {bf}{res}str84{sf}
  {txt}variable {bf}mostinf_servdel{sf} was {bf}{res}str256{sf}{txt} now {bf}{res}str44{sf}
  {txt}variable {bf}educ_elecpolbur{sf} was {bf}{res}str258{sf}{txt} now {bf}{res}str51{sf}
  {txt}variable {bf}educ_apolbur{sf} was {bf}{res}str260{sf}{txt} now {bf}{res}str1{sf}
  {txt}variable {bf}slry_elecpolbur{sf} was {bf}{res}str316{sf}{txt} now {bf}{res}str47{sf}
  {txt}variable {bf}slry_apolbur{sf} was {bf}{res}str318{sf}{txt} now {bf}{res}str1{sf}
  {txt}variable {bf}fdout_epol_bgt{sf} was {bf}{res}str373{sf}{txt} now {bf}{res}str19{sf}
  {txt}variable {bf}fdout_apol_bgt{sf} was {bf}{res}str375{sf}{txt} now {bf}{res}str1{sf}
  {txt}variable {bf}budsect_epol{sf} was {bf}{res}str217{sf}{txt} now {bf}{res}str19{sf}
  {txt}variable {bf}budsect_apol{sf} was {bf}{res}str219{sf}{txt} now {bf}{res}str1{sf}
  {txt}variable {bf}acinfexp_epol{sf} was {bf}{res}str216{sf}{txt} now {bf}{res}str19{sf}
  {txt}variable {bf}acinfexp_apol{sf} was {bf}{res}str218{sf}{txt} now {bf}{res}str1{sf}
  {txt}variable {bf}understand_epol{sf} was {bf}{res}str214{sf}{txt} now {bf}{res}str21{sf}
  {txt}variable {bf}understand_apol{sf} was {bf}{res}str216{sf}{txt} now {bf}{res}str21{sf}
  {txt}variable {bf}acttake_epol{sf} was {bf}{res}str247{sf}{txt} now {bf}{res}str163{sf}
  {txt}variable {bf}acttake_epoloth{sf} was {bf}{res}str261{sf}{txt} now {bf}{res}str63{sf}
  {txt}variable {bf}acttake_apol{sf} was {bf}{res}str250{sf}{txt} now {bf}{res}str1{sf}
  {txt}variable {bf}acttake_apoloth{sf} was {bf}{res}str264{sf}{txt} now {bf}{res}str1{sf}
  {txt}variable {bf}likely{sf} was {bf}{res}str159{sf}{txt} now {bf}{res}str18{sf}
  {txt}variable {bf}who_apt_bur{sf} was {bf}{res}str126{sf}{txt} now {bf}{res}str64{sf}
  {txt}variable {bf}who_fir_bur{sf} was {bf}{res}str120{sf}{txt} now {bf}{res}str64{sf}
  {txt}variable {bf}who_fir_buroth{sf} was {bf}{res}str134{sf}{txt} now {bf}{res}str77{sf}
  {txt}variable {bf}ocap_epol{sf} was {bf}{res}str359{sf}{txt} now {bf}{res}str55{sf}
  {txt}variable {bf}ocap_apol{sf} was {bf}{res}str361{sf}{txt} now {bf}{res}str1{sf}
  {txt}variable {bf}prio_epol{sf} was {bf}{res}str209{sf}{txt} now {bf}{res}str73{sf}
  {txt}variable {bf}prio_apol{sf} was {bf}{res}str211{sf}{txt} now {bf}{res}str1{sf}
  {txt}variable {bf}overall_conf{sf} was {bf}{res}str191{sf}{txt} now {bf}{res}str17{sf}
  {txt}variable {bf}avg_educ_buro{sf} was {bf}{res}str117{sf}{txt} now {bf}{res}str101{sf}
  {txt}variable {bf}avg_slry_apol{sf} was {bf}{res}str134{sf}{txt} now {bf}{res}str128{sf}
  {txt}variable {bf}avg_slry_buro{sf} was {bf}{res}str134{sf}{txt} now {bf}{res}str87{sf}
  {txt}variable {bf}confirmation{sf} was {bf}{res}str1148{sf}{txt} now {bf}{res}str63{sf}
{txt}  (462,685 bytes saved)

{com}.         
.         * We edit the label 
.         
.         lab var country "Country"
{txt}
{com}.         lab var full_name  "Full name of recipient"
{txt}
{com}.         lab var recipientemail "Recipient email"
{txt}
{com}.         lab var userlanguage "Language used to answer"
{txt}
{com}.         lab var finished "Completion status"
{txt}
{com}.         lab var progress "Progress"
{txt}
{com}.         lab var duration_minutes "Duration in minutes"
{txt}
{com}.         lab var case_n_unit "Original number of entities"
{txt}
{com}.         lab var unit_num "Unit number"
{txt}
{com}.         
.         * Confirmation
.         
.         fre confirmation
{res}
{txt}confirmation
{txt}{hline 54}{hline 1}{c TT}{hline 44}
{txt}        {txt}                                               {c |}      Freq.    Percent      Valid       Cum.
{txt}{hline 54}{hline 1}{c +}{hline 44}
{txt}Valid   No, this is inaccurate. This level needs to be {c |}{res}          2       3.28       7.14       7.14
{txt}        replaced/deleted                               {c |}{res}                                            
{txt}        No, this level needs to be replaced/deleted    {c |}{res}          2       3.28       7.14      14.29
{txt}        Yes, this is accurate                          {c |}{res}         24      39.34      85.71     100.00
{txt}        Total                                          {c |}{res}         28      45.90     100.00           
{txt}Missing                                                {c |}{res}         33      54.10                      
{txt}Total                                                  {c |}{res}         61     100.00                      
{txt}{hline 54}{hline 1}{c BT}{hline 44}

{com}.         replace confirmation = "1" if confirmation == "Yes, this is accurate"
{txt}(24 real changes made)

{com}.         replace confirmation = "0" if regexm(confirmation,"No")
{txt}(4 real changes made)

{com}.         destring confirmation, replace
{txt}confirmation: all characters numeric; {res}replaced {txt}as {res}byte
{txt}(33 missing values generated)
{res}{txt}
{com}.         
.         lab var confirmation "Confirmation of adequacy of unit"
{txt}
{com}.         lab def confirmation 0 "No, this is not accurate. It should be replaced/deleted" 1 "Yes, this is accurate"
{txt}
{com}.         lab val confirmation confirmation
{txt}
{com}.         
.         fre confirmation
{res}
{txt}confirmation {hline 2} Confirmation of adequacy of unit
{txt}{hline 48}{hline 1}{c TT}{hline 44}
{txt}        {txt}                                         {c |}      Freq.    Percent      Valid       Cum.
{txt}{hline 48}{hline 1}{c +}{hline 44}
{txt}Valid   0 No, this is not accurate. It should be {c |}{res}          4       6.56      14.29      14.29
{txt}          replaced/deleted                       {c |}{res}                                            
{txt}        1 Yes, this is accurate                  {c |}{res}         24      39.34      85.71     100.00
{txt}        Total                                    {c |}{res}         28      45.90     100.00           
{txt}Missing .                                        {c |}{res}         33      54.10                      
{txt}Total                                            {c |}{res}         61     100.00                      
{txt}{hline 48}{hline 1}{c BT}{hline 44}

{com}.         
.         order confirmation, after(unit_num)
{txt}
{com}.         
.         * Creating variable about asked_survey (should be updated)
.         
.         gen asked_survey = 0
{txt}
{com}.         replace asked_survey = 1 if confirmation == 1
{txt}(24 real changes made)

{com}.         lab var asked_survey "Survey question asked to respondent"
{txt}
{com}.         lab def yesno 0 "No" 1 "Yes"
{txt}
{com}.         lab val asked_survey yesno
{txt}
{com}.         order asked_survey, after(confirmation)
{txt}
{com}.         
.         * title_bur
.         
.         lab var title_bur "Title of the highest-level bureaucrat in unit"
{txt}
{com}.         
.         gen test_title_bur = (title_bur != "")
{txt}
{com}.         replace test_title_bur = . if asked_survey == 0
{txt}(37 real changes made, 37 to missing)

{com}.         fre test_title_bur
{res}
{txt}test_title_bur
{txt}{hline 9}{hline 1}{c TT}{hline 44}
{txt}        {txt}  {c |}      Freq.    Percent      Valid       Cum.
{txt}{hline 9}{hline 1}{c +}{hline 44}
{txt}Valid   1 {c |}{res}         24      39.34     100.00     100.00
{txt}Missing . {c |}{res}         37      60.66                      
{txt}Total     {c |}{res}         61     100.00                      
{txt}{hline 9}{hline 1}{c BT}{hline 44}

{com}.         assert inlist(test_title_bur,.,1)
{txt}
{com}.         
.         drop test_title_bur
{txt}
{com}.         
.         * elecpol_ovrsee
.         
.         lab var elecpol_ovrsee "Any politicians in unit overseeing service delivery"
{txt}
{com}.         replace elecpol_ovrsee = "0" if elecpol_ovrsee == "No"
{txt}(2 real changes made)

{com}.         replace elecpol_ovrsee = "1" if elecpol_ovrsee == "Yes"
{txt}(23 real changes made)

{com}.         destring elecpol_ovrsee, replace
{txt}elecpol_ovrsee: all characters numeric; {res}replaced {txt}as {res}byte
{txt}(36 missing values generated)
{res}{txt}
{com}.         lab val elecpol_ovrsee yesno
{txt}
{com}.         
.         fre elecpol_ovrsee
{res}
{txt}elecpol_ovrsee {hline 2} Any politicians in unit overseeing service delivery
{txt}{hline 13}{hline 1}{c TT}{hline 44}
{txt}        {txt}      {c |}      Freq.    Percent      Valid       Cum.
{txt}{hline 13}{hline 1}{c +}{hline 44}
{txt}Valid   0 No  {c |}{res}          2       3.28       8.00       8.00
{txt}        1 Yes {c |}{res}         23      37.70      92.00     100.00
{txt}        Total {c |}{res}         25      40.98     100.00           
{txt}Missing .     {c |}{res}         36      59.02                      
{txt}Total         {c |}{res}         61     100.00                      
{txt}{hline 13}{hline 1}{c BT}{hline 44}

{com}.         
.         gen test_elecpol_ovrsee = (elecpol_ovrsee != .)
{txt}
{com}.         replace test_elecpol_ovrsee = . if asked_survey == 0
{txt}(37 real changes made, 37 to missing)

{com}.         fre test_elecpol_ovrsee
{res}
{txt}test_elecpol_ovrsee
{txt}{hline 9}{hline 1}{c TT}{hline 44}
{txt}        {txt}  {c |}      Freq.    Percent      Valid       Cum.
{txt}{hline 9}{hline 1}{c +}{hline 44}
{txt}Valid   1 {c |}{res}         24      39.34     100.00     100.00
{txt}Missing . {c |}{res}         37      60.66                      
{txt}Total     {c |}{res}         61     100.00                      
{txt}{hline 9}{hline 1}{c BT}{hline 44}

{com}.         assert inlist(test_elecpol_ovrsee,.,1)
{txt}
{com}.         
.         drop test_elecpol_ovrsee
{txt}
{com}.         
.         * title_elecpol
.         
.         lab var title_elecpol "Title of the highest-level elected politician in unit"
{txt}
{com}.         
.         gen test_title_elecpol = (title_elecpol != "")
{txt}
{com}.         replace test_title_elecpol = . if asked_survey == 0
{txt}(37 real changes made, 37 to missing)

{com}.         replace test_title_elecpol = . if elecpol_ovrsee == 0
{txt}(1 real change made, 1 to missing)

{com}.         fre test_title_elecpol
{res}
{txt}test_title_elecpol
{txt}{hline 9}{hline 1}{c TT}{hline 44}
{txt}        {txt}  {c |}      Freq.    Percent      Valid       Cum.
{txt}{hline 9}{hline 1}{c +}{hline 44}
{txt}Valid   1 {c |}{res}         23      37.70     100.00     100.00
{txt}Missing . {c |}{res}         38      62.30                      
{txt}Total     {c |}{res}         61     100.00                      
{txt}{hline 9}{hline 1}{c BT}{hline 44}

{com}.         assert inlist(test_title_elecpol,.,1)
{txt}
{com}.         
.         drop test_title_elecpol
{txt}
{com}.         
.         * aptpol_d
.         
.         fre aptpol_d
{res}
{txt}aptpol_d
{txt}{hline 38}{hline 1}{c TT}{hline 44}
{txt}        {txt}                               {c |}      Freq.    Percent      Valid       Cum.
{txt}{hline 38}{hline 1}{c +}{hline 44}
{txt}Valid   Do not know / Refuse to answer {c |}{res}          1       1.64       4.00       4.00
{txt}        No                             {c |}{res}         15      24.59      60.00      64.00
{txt}        Yes                            {c |}{res}          9      14.75      36.00     100.00
{txt}        Total                          {c |}{res}         25      40.98     100.00           
{txt}Missing                                {c |}{res}         36      59.02                      
{txt}Total                                  {c |}{res}         61     100.00                      
{txt}{hline 38}{hline 1}{c BT}{hline 44}

{com}.         
.         lab var aptpol_d "Politician appointed by higher politician in unit"
{txt}
{com}.         replace aptpol_d = "0" if aptpol_d == "No"
{txt}(15 real changes made)

{com}.         replace aptpol_d = "1" if aptpol_d == "Yes"
{txt}(9 real changes made)

{com}.         replace aptpol_d = "-98" if aptpol_d == "Do not know / Refuse to answer"
{txt}(1 real change made)

{com}.         destring aptpol_d, replace
{txt}aptpol_d: all characters numeric; {res}replaced {txt}as {res}byte
{txt}(36 missing values generated)
{res}{txt}
{com}.         lab val aptpol_d yesno
{txt}
{com}.         
.         fre aptpol_d
{res}
{txt}aptpol_d {hline 2} Politician appointed by higher politician in unit
{txt}{hline 15}{hline 1}{c TT}{hline 44}
{txt}        {txt}        {c |}      Freq.    Percent      Valid       Cum.
{txt}{hline 15}{hline 1}{c +}{hline 44}
{txt}Valid   -98     {c |}{res}          1       1.64       4.00       4.00
{txt}        0   No  {c |}{res}         15      24.59      60.00      64.00
{txt}        1   Yes {c |}{res}          9      14.75      36.00     100.00
{txt}        Total   {c |}{res}         25      40.98     100.00           
{txt}Missing .       {c |}{res}         36      59.02                      
{txt}Total           {c |}{res}         61     100.00                      
{txt}{hline 15}{hline 1}{c BT}{hline 44}

{com}.         
.         gen test_aptpol_d = (aptpol_d != .)
{txt}
{com}.         replace test_aptpol_d = . if asked_survey == 0
{txt}(37 real changes made, 37 to missing)

{com}.         fre test_aptpol_d
{res}
{txt}test_aptpol_d
{txt}{hline 9}{hline 1}{c TT}{hline 44}
{txt}        {txt}  {c |}      Freq.    Percent      Valid       Cum.
{txt}{hline 9}{hline 1}{c +}{hline 44}
{txt}Valid   1 {c |}{res}         24      39.34     100.00     100.00
{txt}Missing . {c |}{res}         37      60.66                      
{txt}Total     {c |}{res}         61     100.00                      
{txt}{hline 9}{hline 1}{c BT}{hline 44}

{com}.         assert inlist(test_aptpol_d,.,1)
{txt}
{com}.         
.         drop test_aptpol_d
{txt}
{com}.         
.         * pol_exist_d
.         
.         gen pol_exist_d = 0
{txt}
{com}.         replace pol_exist_d = 1 if aptpol_d == 1 | elecpol_ovrsee == 1
{txt}(23 real changes made)

{com}.         replace pol_exist_d = . if asked_survey == 0
{txt}(37 real changes made, 37 to missing)

{com}.         lab val pol_exist_d yesno
{txt}
{com}.         lab var pol_exist_d "1 if we have either an appointed or elected politician"
{txt}
{com}.         
.         fre pol_exist_d
{res}
{txt}pol_exist_d {hline 2} 1 if we have either an appointed or elected politician
{txt}{hline 13}{hline 1}{c TT}{hline 44}
{txt}        {txt}      {c |}      Freq.    Percent      Valid       Cum.
{txt}{hline 13}{hline 1}{c +}{hline 44}
{txt}Valid   0 No  {c |}{res}          1       1.64       4.17       4.17
{txt}        1 Yes {c |}{res}         23      37.70      95.83     100.00
{txt}        Total {c |}{res}         24      39.34     100.00           
{txt}Missing .     {c |}{res}         37      60.66                      
{txt}Total         {c |}{res}         61     100.00                      
{txt}{hline 13}{hline 1}{c BT}{hline 44}

{com}.         order pol_exist_d, after(aptpol_d)
{txt}
{com}.         
.         * title_aptpol
.         
.         lab var title_aptpol "Title of the highest-level appointed politician in unit"
{txt}
{com}.         
.         gen test_title_aptpol = (title_aptpol != "")
{txt}
{com}.         replace test_title_aptpol = . if asked_survey == 0 
{txt}(37 real changes made, 37 to missing)

{com}.         replace test_title_aptpol = . if aptpol_d == 0 | aptpol_d == -98
{txt}(15 real changes made, 15 to missing)

{com}.         fre test_title_aptpol
{res}
{txt}test_title_aptpol
{txt}{hline 9}{hline 1}{c TT}{hline 44}
{txt}        {txt}  {c |}      Freq.    Percent      Valid       Cum.
{txt}{hline 9}{hline 1}{c +}{hline 44}
{txt}Valid   1 {c |}{res}          9      14.75     100.00     100.00
{txt}Missing . {c |}{res}         52      85.25                      
{txt}Total     {c |}{res}         61     100.00                      
{txt}{hline 9}{hline 1}{c BT}{hline 44}

{com}.         assert inlist(test_title_aptpol,.,1)
{txt}
{com}.         
.         drop test_title_aptpol
{txt}
{com}.         
.         * who_aptpol
.         
.         lab var who_aptpol "Who appoints the highest-level appointed politician in unit"
{txt}
{com}.         
.         gen test_who_aptpol = (who_aptpol != "")
{txt}
{com}.         replace test_who_aptpol = . if asked_survey == 0 
{txt}(37 real changes made, 37 to missing)

{com}.         replace test_who_aptpol = . if aptpol_d == 0 | aptpol_d == -98
{txt}(15 real changes made, 15 to missing)

{com}.         fre test_who_aptpol
{res}
{txt}test_who_aptpol
{txt}{hline 9}{hline 1}{c TT}{hline 44}
{txt}        {txt}  {c |}      Freq.    Percent      Valid       Cum.
{txt}{hline 9}{hline 1}{c +}{hline 44}
{txt}Valid   1 {c |}{res}          9      14.75     100.00     100.00
{txt}Missing . {c |}{res}         52      85.25                      
{txt}Total     {c |}{res}         61     100.00                      
{txt}{hline 9}{hline 1}{c BT}{hline 44}

{com}.         assert inlist(test_who_aptpol,.,1)
{txt}
{com}.         
.         drop test_who_aptpol
{txt}
{com}.         
.         * mostinf_servdel
.         
.         lab var mostinf_servdel "More influential in determining quality of service"
{txt}
{com}.         
.         replace mostinf_servdel = "1" if regexm(mostinf_servdel,"Elected much more")
{txt}(5 real changes made)

{com}.         replace mostinf_servdel = "2" if regexm(mostinf_servdel,"Elected slightly more")
{txt}(0 real changes made)

{com}.         replace mostinf_servdel = "3" if regexm(mostinf_servdel,"About the same")
{txt}(1 real change made)

{com}.         replace mostinf_servdel = "4" if regexm(mostinf_servdel,"Appointed slightly more")
{txt}(0 real changes made)

{com}.         replace mostinf_servdel = "5" if regexm(mostinf_servdel,"Appointed much more")
{txt}(3 real changes made)

{com}.         destring mostinf_servdel, replace
{txt}mostinf_servdel: all characters numeric; {res}replaced {txt}as {res}byte
{txt}(52 missing values generated)
{res}{txt}
{com}.         lab def mostinf_servdel 1 "Elected much more influential" 2 "Elected slightly more influential" 3 "About the same" 4 "Appointed slightly more influential" 5 "Appointed much more influential"
{txt}
{com}.         lab val mostinf_servdel mostinf_servdel
{txt}
{com}.         
.         fre mostinf_servdel
{res}
{txt}mostinf_servdel {hline 2} More influential in determining quality of service
{txt}{hline 41}{hline 1}{c TT}{hline 44}
{txt}        {txt}                                  {c |}      Freq.    Percent      Valid       Cum.
{txt}{hline 41}{hline 1}{c +}{hline 44}
{txt}Valid   1 Elected much more influential   {c |}{res}          5       8.20      55.56      55.56
{txt}        3 About the same                  {c |}{res}          1       1.64      11.11      66.67
{txt}        5 Appointed much more influential {c |}{res}          3       4.92      33.33     100.00
{txt}        Total                             {c |}{res}          9      14.75     100.00           
{txt}Missing .                                 {c |}{res}         52      85.25                      
{txt}Total                                     {c |}{res}         61     100.00                      
{txt}{hline 41}{hline 1}{c BT}{hline 44}

{com}.         
.         gen test_mostinf_servdel = (mostinf_servdel != .)
{txt}
{com}.         replace test_mostinf_servdel = . if asked_survey == 0 
{txt}(37 real changes made, 37 to missing)

{com}.         replace test_mostinf_servdel = . if (inlist(aptpol_d,0,-98) | elecpol_ovrsee == 0)
{txt}(15 real changes made, 15 to missing)

{com}.         fre test_mostinf_servdel
{res}
{txt}test_mostinf_servdel
{txt}{hline 9}{hline 1}{c TT}{hline 44}
{txt}        {txt}  {c |}      Freq.    Percent      Valid       Cum.
{txt}{hline 9}{hline 1}{c +}{hline 44}
{txt}Valid   1 {c |}{res}          9      14.75     100.00     100.00
{txt}Missing . {c |}{res}         52      85.25                      
{txt}Total     {c |}{res}         61     100.00                      
{txt}{hline 9}{hline 1}{c BT}{hline 44}

{com}.         assert inlist(test_mostinf_servdel,.,1)
{txt}
{com}.         
.         drop test_mostinf_servdel
{txt}
{com}.         
.         * educ_elecpolbur
.         
.         lab var educ_elecpolbur "More educated bureaucrat or politician (elec. politician)"
{txt}
{com}.         
.         fre educ_elecpolbur
{res}
{txt}educ_elecpolbur {hline 2} More educated bureaucrat or politician (elec. politician)
{txt}{hline 55}{hline 1}{c TT}{hline 44}
{txt}        {txt}                                                {c |}      Freq.    Percent      Valid       Cum.
{txt}{hline 55}{hline 1}{c +}{hline 44}
{txt}Valid   About the same level of education               {c |}{res}          4       6.56      17.39      17.39
{txt}        Bureaucrats much more educated than Politicians {c |}{res}         13      21.31      56.52      73.91
{txt}        Bureaucrats slightly more educated than         {c |}{res}          6       9.84      26.09     100.00
{txt}        Politicians                                     {c |}{res}                                            
{txt}        Total                                           {c |}{res}         23      37.70     100.00           
{txt}Missing                                                 {c |}{res}         38      62.30                      
{txt}Total                                                   {c |}{res}         61     100.00                      
{txt}{hline 55}{hline 1}{c BT}{hline 44}

{com}.         
.         replace educ_elecpolbur = "1" if regexm(educ_elecpolbur,"Bureaucrats much more educated")
{txt}(13 real changes made)

{com}.         replace educ_elecpolbur = "2" if regexm(educ_elecpolbur,"Bureaucrats slightly more educated")
{txt}(6 real changes made)

{com}.         replace educ_elecpolbur = "3" if regexm(educ_elecpolbur,"About the same")
{txt}(4 real changes made)

{com}.         replace educ_elecpolbur = "4" if regexm(educ_elecpolbur,"Politicians slightly more educated")
{txt}(0 real changes made)

{com}.         replace educ_elecpolbur = "5" if regexm(educ_elecpolbur,"Politicians much more educated")
{txt}(0 real changes made)

{com}.         destring educ_elecpolbur, replace
{txt}educ_elecpolbur: all characters numeric; {res}replaced {txt}as {res}byte
{txt}(38 missing values generated)
{res}{txt}
{com}.         lab def educ_elecpolbur 1 "Bureaucrats much more educated" 2 "Bureaucrats slightly more educated" 3 "About the same" 4 "Politicians slightly more educated" 5 "Politicians much more educated"
{txt}
{com}.         lab val educ_elecpolbur educ_elecpolbur
{txt}
{com}.         
.         fre educ_elecpolbur
{res}
{txt}educ_elecpolbur {hline 2} More educated bureaucrat or politician (elec. politician)
{txt}{hline 44}{hline 1}{c TT}{hline 44}
{txt}        {txt}                                     {c |}      Freq.    Percent      Valid       Cum.
{txt}{hline 44}{hline 1}{c +}{hline 44}
{txt}Valid   1 Bureaucrats much more educated     {c |}{res}         13      21.31      56.52      56.52
{txt}        2 Bureaucrats slightly more educated {c |}{res}          6       9.84      26.09      82.61
{txt}        3 About the same                     {c |}{res}          4       6.56      17.39     100.00
{txt}        Total                                {c |}{res}         23      37.70     100.00           
{txt}Missing .                                    {c |}{res}         38      62.30                      
{txt}Total                                        {c |}{res}         61     100.00                      
{txt}{hline 44}{hline 1}{c BT}{hline 44}

{com}.         
.         gen test_educ_elecpolbur = (educ_elecpolbur != .)
{txt}
{com}.         replace test_educ_elecpolbur = . if asked_survey == 0 
{txt}(37 real changes made, 37 to missing)

{com}.         replace test_educ_elecpolbur = . if elecpol_ovrsee == 0
{txt}(1 real change made, 1 to missing)

{com}.         fre test_educ_elecpolbur
{res}
{txt}test_educ_elecpolbur
{txt}{hline 9}{hline 1}{c TT}{hline 44}
{txt}        {txt}  {c |}      Freq.    Percent      Valid       Cum.
{txt}{hline 9}{hline 1}{c +}{hline 44}
{txt}Valid   1 {c |}{res}         23      37.70     100.00     100.00
{txt}Missing . {c |}{res}         38      62.30                      
{txt}Total     {c |}{res}         61     100.00                      
{txt}{hline 9}{hline 1}{c BT}{hline 44}

{com}.         assert inlist(test_educ_elecpolbur,.,1)
{txt}
{com}.         
.         drop test_educ_elecpolbur
{txt}
{com}.         
.         * educ_apolbur
.         
.         lab var educ_apolbur "More educated bureaucrat or politician (app. politician) "
{txt}
{com}.         
.         fre educ_apolbur
{res}
{txt}educ_apolbur {hline 2} More educated bureaucrat or politician (app. politician) 
{txt}{hline 8}{hline 1}{c TT}{hline 44}
{txt}        {txt} {c |}      Freq.    Percent      Valid       Cum.
{txt}{hline 8}{hline 1}{c +}{hline 44}
{txt}Missing  {c |}{res}         61     100.00                      
{txt}{hline 8}{hline 1}{c BT}{hline 44}

{com}.         
.         replace educ_apolbur = "1" if regexm(educ_apolbur,"Bureaucrats much more educated")
{txt}(0 real changes made)

{com}.         replace educ_apolbur = "2" if regexm(educ_apolbur,"Bureaucrats slightly more educated")
{txt}(0 real changes made)

{com}.         replace educ_apolbur = "3" if regexm(educ_apolbur,"About the same")
{txt}(0 real changes made)

{com}.         replace educ_apolbur = "4" if regexm(educ_apolbur,"Politicians slightly more educated")
{txt}(0 real changes made)

{com}.         replace educ_apolbur = "5" if regexm(educ_apolbur,"Politicians much more educated")
{txt}(0 real changes made)

{com}.         destring educ_apolbur, replace
{txt}educ_apolbur: all characters numeric; {res}replaced {txt}as {res}byte
{txt}(61 missing values generated)
{res}{txt}
{com}.         lab def educ_apolbur 1 "Bureaucrats much more educated" 2 "Bureaucrats slightly more educated" 3 "About the same" 4 "Politicians slightly more educated" 5 "Politicians much more educated"
{txt}
{com}.         lab val educ_apolbur educ_apolbur
{txt}
{com}.         
.         fre educ_apolbur
{res}
{txt}educ_apolbur {hline 2} More educated bureaucrat or politician (app. politician) 
{txt}{hline 13}{hline 1}{c TT}{hline 44}
{txt}        {txt}      {c |}      Freq.    Percent      Valid       Cum.
{txt}{hline 13}{hline 1}{c +}{hline 44}
{txt}Missing .     {c |}{res}         61     100.00                      
{txt}{hline 13}{hline 1}{c BT}{hline 44}

{com}.         
.         gen test_educ_apolbur = (educ_apolbur != .)
{txt}
{com}.         replace test_educ_apolbur = . if asked_survey == 0
{txt}(37 real changes made, 37 to missing)

{com}.         replace test_educ_apolbur = . if aptpol_d == 0
{txt}(14 real changes made, 14 to missing)

{com}.         replace test_educ_apolbur = . if elecpol_ovrsee == 1 
{txt}(10 real changes made, 10 to missing)

{com}.         fre test_educ_apolbur
{res}
{txt}test_educ_apolbur
{txt}{hline 9}{hline 1}{c TT}{hline 44}
{txt}        {txt}  {c |}      Freq.    Percent      Valid       Cum.
{txt}{hline 9}{hline 1}{c +}{hline 44}
{txt}Missing . {c |}{res}         61     100.00                      
{txt}{hline 9}{hline 1}{c BT}{hline 44}

{com}.         assert inlist(test_educ_apolbur,.,1)
{txt}
{com}.         
.         drop test_educ_apolbur
{txt}
{com}.         
.         * slry_elecpolbur
.         
.         lab var slry_elecpolbur "Earning more bureaucrat or politician (elec. politician)"
{txt}
{com}.         
.         fre slry_elecpolbur
{res}
{txt}slry_elecpolbur {hline 2} Earning more bureaucrat or politician (elec. politician)
{txt}{hline 55}{hline 1}{c TT}{hline 44}
{txt}        {txt}                                                {c |}      Freq.    Percent      Valid       Cum.
{txt}{hline 55}{hline 1}{c +}{hline 44}
{txt}Valid   Both earn about the same                        {c |}{res}          4       6.56      17.39      17.39
{txt}        Bureaucrats earn much more than Politicians     {c |}{res}          5       8.20      21.74      39.13
{txt}        Bureaucrats earn slightly more than Politicians {c |}{res}          3       4.92      13.04      52.17
{txt}        Politicians earn much more than Bureaucrats     {c |}{res}          6       9.84      26.09      78.26
{txt}        Politicians earn slightly more than Bureaucrats {c |}{res}          5       8.20      21.74     100.00
{txt}        Total                                           {c |}{res}         23      37.70     100.00           
{txt}Missing                                                 {c |}{res}         38      62.30                      
{txt}Total                                                   {c |}{res}         61     100.00                      
{txt}{hline 55}{hline 1}{c BT}{hline 44}

{com}.         
.         replace slry_elecpolbur = "1" if regexm(slry_elecpolbur,"Bureaucrats earn much")
{txt}(5 real changes made)

{com}.         replace slry_elecpolbur = "2" if regexm(slry_elecpolbur,"Bureaucrats earn slightly")
{txt}(3 real changes made)

{com}.         replace slry_elecpolbur = "3" if regexm(slry_elecpolbur,"Both earn")
{txt}(4 real changes made)

{com}.         replace slry_elecpolbur = "4" if regexm(slry_elecpolbur,"Politicians earn slightly")
{txt}(5 real changes made)

{com}.         replace slry_elecpolbur = "5" if regexm(slry_elecpolbur,"Politicians earn much")
{txt}(6 real changes made)

{com}.         destring slry_elecpolbur, replace
{txt}slry_elecpolbur: all characters numeric; {res}replaced {txt}as {res}byte
{txt}(38 missing values generated)
{res}{txt}
{com}.         lab def slry_elecpolbur 1 "Bureaucrats earn much more" 2 "Bureaucrats earn slightly more" 3 "Both earn the same" 4 "Politicians earn slightly" 5 "Politicians earn much more"
{txt}
{com}.         lab val slry_elecpolbur slry_elecpolbur
{txt}
{com}.         
.         fre slry_elecpolbur
{res}
{txt}slry_elecpolbur {hline 2} Earning more bureaucrat or politician (elec. politician)
{txt}{hline 40}{hline 1}{c TT}{hline 44}
{txt}        {txt}                                 {c |}      Freq.    Percent      Valid       Cum.
{txt}{hline 40}{hline 1}{c +}{hline 44}
{txt}Valid   1 Bureaucrats earn much more     {c |}{res}          5       8.20      21.74      21.74
{txt}        2 Bureaucrats earn slightly more {c |}{res}          3       4.92      13.04      34.78
{txt}        3 Both earn the same             {c |}{res}          4       6.56      17.39      52.17
{txt}        4 Politicians earn slightly      {c |}{res}          5       8.20      21.74      73.91
{txt}        5 Politicians earn much more     {c |}{res}          6       9.84      26.09     100.00
{txt}        Total                            {c |}{res}         23      37.70     100.00           
{txt}Missing .                                {c |}{res}         38      62.30                      
{txt}Total                                    {c |}{res}         61     100.00                      
{txt}{hline 40}{hline 1}{c BT}{hline 44}

{com}.         
.         gen test_slry_elecpolbur = (slry_elecpolbur != .)
{txt}
{com}.         replace test_slry_elecpolbur = . if asked_survey == 0 
{txt}(37 real changes made, 37 to missing)

{com}.         replace test_slry_elecpolbur = . if elecpol_ovrsee == 0
{txt}(1 real change made, 1 to missing)

{com}.         fre test_slry_elecpolbur
{res}
{txt}test_slry_elecpolbur
{txt}{hline 9}{hline 1}{c TT}{hline 44}
{txt}        {txt}  {c |}      Freq.    Percent      Valid       Cum.
{txt}{hline 9}{hline 1}{c +}{hline 44}
{txt}Valid   1 {c |}{res}         23      37.70     100.00     100.00
{txt}Missing . {c |}{res}         38      62.30                      
{txt}Total     {c |}{res}         61     100.00                      
{txt}{hline 9}{hline 1}{c BT}{hline 44}

{com}.         assert inlist(test_slry_elecpolbur,.,1)
{txt}
{com}.         
.         drop test_slry_elecpolbur
{txt}
{com}.         
.         * slry_apolbur
.         
.         lab var slry_apolbur "Earning more bureaucrat or politician (app. politician)"
{txt}
{com}.         
.         fre slry_apolbur
{res}
{txt}slry_apolbur {hline 2} Earning more bureaucrat or politician (app. politician)
{txt}{hline 8}{hline 1}{c TT}{hline 44}
{txt}        {txt} {c |}      Freq.    Percent      Valid       Cum.
{txt}{hline 8}{hline 1}{c +}{hline 44}
{txt}Missing  {c |}{res}         61     100.00                      
{txt}{hline 8}{hline 1}{c BT}{hline 44}

{com}.         
.         replace slry_apolbur = "1" if regexm(slry_apolbur,"Bureaucrats earn much")
{txt}(0 real changes made)

{com}.         replace slry_apolbur = "2" if regexm(slry_apolbur,"Bureaucrats earn slightly")
{txt}(0 real changes made)

{com}.         replace slry_apolbur = "3" if regexm(slry_apolbur,"Both earn")
{txt}(0 real changes made)

{com}.         replace slry_apolbur = "4" if regexm(slry_apolbur,"Politicians earn slightly")
{txt}(0 real changes made)

{com}.         replace slry_apolbur = "5" if regexm(slry_apolbur,"Politicians earn much")
{txt}(0 real changes made)

{com}.         destring slry_apolbur, replace
{txt}slry_apolbur: all characters numeric; {res}replaced {txt}as {res}byte
{txt}(61 missing values generated)
{res}{txt}
{com}.         lab def slry_apolbur 1 "Bureaucrats earn much more" 2 "Bureaucrats earn slightly more" 3 "Both earn the same" 4 "Politicians earn slightly" 5 "Politicians earn much more"
{txt}
{com}.         lab val slry_apolbur slry_apolbur
{txt}
{com}.         
.         fre slry_apolbur
{res}
{txt}slry_apolbur {hline 2} Earning more bureaucrat or politician (app. politician)
{txt}{hline 13}{hline 1}{c TT}{hline 44}
{txt}        {txt}      {c |}      Freq.    Percent      Valid       Cum.
{txt}{hline 13}{hline 1}{c +}{hline 44}
{txt}Missing .     {c |}{res}         61     100.00                      
{txt}{hline 13}{hline 1}{c BT}{hline 44}

{com}.         
.         gen test_slry_apolbur = (slry_apolbur != .)
{txt}
{com}.         replace test_slry_apolbur = . if asked_survey == 0
{txt}(37 real changes made, 37 to missing)

{com}.         replace test_slry_apolbur = . if aptpol_d == 0
{txt}(14 real changes made, 14 to missing)

{com}.         replace test_slry_apolbur = . if elecpol_ovrsee == 1 
{txt}(10 real changes made, 10 to missing)

{com}.         fre test_slry_apolbur
{res}
{txt}test_slry_apolbur
{txt}{hline 9}{hline 1}{c TT}{hline 44}
{txt}        {txt}  {c |}      Freq.    Percent      Valid       Cum.
{txt}{hline 9}{hline 1}{c +}{hline 44}
{txt}Missing . {c |}{res}         61     100.00                      
{txt}{hline 9}{hline 1}{c BT}{hline 44}

{com}.         assert inlist(test_slry_apolbur,.,1)
{txt}
{com}.         
.         drop test_slry_apolbur
{txt}
{com}.         
.         * We merge the payment module
.         
.         merge m:1 responseid using "`payment_module'"
{res}
{txt}{col 5}Result{col 38}# of obs.
{col 5}{hline 41}
{col 5}not matched{col 30}{res}               0
{txt}{col 5}matched{col 30}{res}              61{txt}  (_merge==3)
{col 5}{hline 41}

{com}.         drop _merge
{txt}
{com}.         order donate_d org_donation_id paid_status, after(duration_minutes)
{txt}
{com}.         
.         * fdout_epol_bgt
.         
.         lab var fdout_epol_bgt "Easy to find out about envelop (elec. politician)"
{txt}
{com}.         
.         fre fdout_epol_bgt
{res}
{txt}fdout_epol_bgt {hline 2} Easy to find out about envelop (elec. politician)
{txt}{hline 26}{hline 1}{c TT}{hline 44}
{txt}        {txt}                   {c |}      Freq.    Percent      Valid       Cum.
{txt}{hline 26}{hline 1}{c +}{hline 44}
{txt}Valid   Somewhat difficult {c |}{res}          3       4.92      13.04      13.04
{txt}        Somewhat easy      {c |}{res}          6       9.84      26.09      39.13
{txt}        Very easy          {c |}{res}         14      22.95      60.87     100.00
{txt}        Total              {c |}{res}         23      37.70     100.00           
{txt}Missing                    {c |}{res}         38      62.30                      
{txt}Total                      {c |}{res}         61     100.00                      
{txt}{hline 26}{hline 1}{c BT}{hline 44}

{com}.         
.         replace fdout_epol_bgt = "1" if regexm(fdout_epol_bgt,"Very easy")
{txt}(14 real changes made)

{com}.         replace fdout_epol_bgt = "2" if regexm(fdout_epol_bgt,"Somewhat easy")
{txt}(6 real changes made)

{com}.         replace fdout_epol_bgt = "3" if regexm(fdout_epol_bgt,"Somewhat difficult")
{txt}(3 real changes made)

{com}.         replace fdout_epol_bgt = "4" if regexm(fdout_epol_bgt,"Very difficult")
{txt}(0 real changes made)

{com}.         replace fdout_epol_bgt = "5" if regexm(fdout_epol_bgt,"Not applicable")
{txt}(0 real changes made)

{com}.         replace fdout_epol_bgt = "6" if regexm(fdout_epol_bgt,"Do not know")
{txt}(0 real changes made)

{com}.         
.         destring fdout_epol_bgt, replace
{txt}fdout_epol_bgt: all characters numeric; {res}replaced {txt}as {res}byte
{txt}(38 missing values generated)
{res}{txt}
{com}.         lab def fdout_epol_bgt 1 "Very easy" 2 "Somewhat easy" 3 "Somewhat difficult" 4 "Very difficult" 5 "Not applicable, this level of government has no spending power" 6 "Do not know / Refuse to answer"
{txt}
{com}.         lab val fdout_epol_bgt fdout_epol_bgt
{txt}
{com}.         
.         fre fdout_epol_bgt
{res}
{txt}fdout_epol_bgt {hline 2} Easy to find out about envelop (elec. politician)
{txt}{hline 28}{hline 1}{c TT}{hline 44}
{txt}        {txt}                     {c |}      Freq.    Percent      Valid       Cum.
{txt}{hline 28}{hline 1}{c +}{hline 44}
{txt}Valid   1 Very easy          {c |}{res}         14      22.95      60.87      60.87
{txt}        2 Somewhat easy      {c |}{res}          6       9.84      26.09      86.96
{txt}        3 Somewhat difficult {c |}{res}          3       4.92      13.04     100.00
{txt}        Total                {c |}{res}         23      37.70     100.00           
{txt}Missing .                    {c |}{res}         38      62.30                      
{txt}Total                        {c |}{res}         61     100.00                      
{txt}{hline 28}{hline 1}{c BT}{hline 44}

{com}.         
.         gen test_fdout_epol_bgt = (fdout_epol_bgt != .)
{txt}
{com}.         replace test_fdout_epol_bgt = . if asked_survey == 0 
{txt}(37 real changes made, 37 to missing)

{com}.         replace test_fdout_epol_bgt = . if elecpol_ovrsee == 0
{txt}(1 real change made, 1 to missing)

{com}.         fre test_fdout_epol_bgt
{res}
{txt}test_fdout_epol_bgt
{txt}{hline 9}{hline 1}{c TT}{hline 44}
{txt}        {txt}  {c |}      Freq.    Percent      Valid       Cum.
{txt}{hline 9}{hline 1}{c +}{hline 44}
{txt}Valid   1 {c |}{res}         23      37.70     100.00     100.00
{txt}Missing . {c |}{res}         38      62.30                      
{txt}Total     {c |}{res}         61     100.00                      
{txt}{hline 9}{hline 1}{c BT}{hline 44}

{com}.         assert inlist(test_fdout_epol_bgt,.,1)
{txt}
{com}.         
.         drop test_fdout_epol_bgt
{txt}
{com}.         
.         * fdout_apol_bgt
.         
.         lab var fdout_apol_bgt "Easy to find out about envelop (app. politician)"
{txt}
{com}.         
.         fre fdout_apol_bgt
{res}
{txt}fdout_apol_bgt {hline 2} Easy to find out about envelop (app. politician)
{txt}{hline 8}{hline 1}{c TT}{hline 44}
{txt}        {txt} {c |}      Freq.    Percent      Valid       Cum.
{txt}{hline 8}{hline 1}{c +}{hline 44}
{txt}Missing  {c |}{res}         61     100.00                      
{txt}{hline 8}{hline 1}{c BT}{hline 44}

{com}.         
.         replace fdout_apol_bgt = "1" if regexm(fdout_apol_bgt,"Very easy")
{txt}(0 real changes made)

{com}.         replace fdout_apol_bgt = "2" if regexm(fdout_apol_bgt,"Somewhat easy")
{txt}(0 real changes made)

{com}.         replace fdout_apol_bgt = "3" if regexm(fdout_apol_bgt,"Somewhat difficult")
{txt}(0 real changes made)

{com}.         replace fdout_apol_bgt = "4" if regexm(fdout_apol_bgt,"Very difficult")
{txt}(0 real changes made)

{com}.         replace fdout_apol_bgt = "5" if regexm(fdout_apol_bgt,"Not applicable")
{txt}(0 real changes made)

{com}.         replace fdout_apol_bgt = "6" if regexm(fdout_apol_bgt,"Do not know")
{txt}(0 real changes made)

{com}.         
.         destring fdout_apol_bgt, replace
{txt}fdout_apol_bgt: all characters numeric; {res}replaced {txt}as {res}byte
{txt}(61 missing values generated)
{res}{txt}
{com}.         lab def fdout_apol_bgt 1 "Very easy" 2 "Somewhat easy" 3 "Somewhat difficult" 4 "Very difficult" 5 "Not applicable, this level of government has no spending power" 6 "Do not know / Refuse to answer"
{txt}
{com}.         lab val fdout_apol_bgt fdout_apol_bgt
{txt}
{com}.         
.         fre fdout_apol_bgt
{res}
{txt}fdout_apol_bgt {hline 2} Easy to find out about envelop (app. politician)
{txt}{hline 13}{hline 1}{c TT}{hline 44}
{txt}        {txt}      {c |}      Freq.    Percent      Valid       Cum.
{txt}{hline 13}{hline 1}{c +}{hline 44}
{txt}Missing .     {c |}{res}         61     100.00                      
{txt}{hline 13}{hline 1}{c BT}{hline 44}

{com}.         
.         gen test_fdout_apol_bgt = (fdout_apol_bgt != .)
{txt}
{com}.         replace test_fdout_apol_bgt = . if asked_survey == 0
{txt}(37 real changes made, 37 to missing)

{com}.         replace test_fdout_apol_bgt = . if aptpol_d == 0
{txt}(14 real changes made, 14 to missing)

{com}.         replace test_fdout_apol_bgt = . if elecpol_ovrsee == 1 
{txt}(10 real changes made, 10 to missing)

{com}.         fre test_fdout_apol_bgt
{res}
{txt}test_fdout_apol_bgt
{txt}{hline 9}{hline 1}{c TT}{hline 44}
{txt}        {txt}  {c |}      Freq.    Percent      Valid       Cum.
{txt}{hline 9}{hline 1}{c +}{hline 44}
{txt}Missing . {c |}{res}         61     100.00                      
{txt}{hline 9}{hline 1}{c BT}{hline 44}

{com}.         assert inlist(test_fdout_apol_bgt,.,1)
{txt}
{com}.         
.         drop test_fdout_apol_bgt
{txt}
{com}.         
.         * budsect_epol
.         
.         lab var budsect_epol "Find about budget allocation to sectors (elec. politician)"
{txt}
{com}.         
.         fre budsect_epol
{res}
{txt}budsect_epol {hline 2} Find about budget allocation to sectors (elec. politician)
{txt}{hline 26}{hline 1}{c TT}{hline 44}
{txt}        {txt}                   {c |}      Freq.    Percent      Valid       Cum.
{txt}{hline 26}{hline 1}{c +}{hline 44}
{txt}Valid   Somewhat difficult {c |}{res}          2       3.28       8.70       8.70
{txt}        Somewhat easy      {c |}{res}          4       6.56      17.39      26.09
{txt}        Very difficult     {c |}{res}          1       1.64       4.35      30.43
{txt}        Very easy          {c |}{res}          9      14.75      39.13      69.57
{txt}        Somewhat easy      {c |}{res}          1       1.64       4.35      73.91
{txt}        Very easy          {c |}{res}          6       9.84      26.09     100.00
{txt}        Total              {c |}{res}         23      37.70     100.00           
{txt}Missing                    {c |}{res}         38      62.30                      
{txt}Total                      {c |}{res}         61     100.00                      
{txt}{hline 26}{hline 1}{c BT}{hline 44}

{com}.         
.         replace budsect_epol = "1" if regexm(budsect_epol,"Very easy")
{txt}(15 real changes made)

{com}.         replace budsect_epol = "2" if regexm(budsect_epol,"Somewhat easy")
{txt}(5 real changes made)

{com}.         replace budsect_epol = "3" if regexm(budsect_epol,"Somewhat difficult")
{txt}(2 real changes made)

{com}.         replace budsect_epol = "4" if regexm(budsect_epol,"Very difficult")
{txt}(1 real change made)

{com}.         replace budsect_epol = "5" if regexm(budsect_epol,"Not applicable")
{txt}(0 real changes made)

{com}.         replace budsect_epol = "6" if regexm(budsect_epol,"Do not know")
{txt}(0 real changes made)

{com}.         
.         destring budsect_epol, replace
{txt}budsect_epol: all characters numeric; {res}replaced {txt}as {res}byte
{txt}(38 missing values generated)
{res}{txt}
{com}.         lab def budsect_epol 1 "Very easy" 2 "Somewhat easy" 3 "Somewhat difficult" 4 "Very difficult" 5 "Not applicable, this level of government has no spending power" 6 "Do not know / Refuse to answer"
{txt}
{com}.         lab val budsect_epol budsect_epol
{txt}
{com}.         
.         fre budsect_epol
{res}
{txt}budsect_epol {hline 2} Find about budget allocation to sectors (elec. politician)
{txt}{hline 28}{hline 1}{c TT}{hline 44}
{txt}        {txt}                     {c |}      Freq.    Percent      Valid       Cum.
{txt}{hline 28}{hline 1}{c +}{hline 44}
{txt}Valid   1 Very easy          {c |}{res}         15      24.59      65.22      65.22
{txt}        2 Somewhat easy      {c |}{res}          5       8.20      21.74      86.96
{txt}        3 Somewhat difficult {c |}{res}          2       3.28       8.70      95.65
{txt}        4 Very difficult     {c |}{res}          1       1.64       4.35     100.00
{txt}        Total                {c |}{res}         23      37.70     100.00           
{txt}Missing .                    {c |}{res}         38      62.30                      
{txt}Total                        {c |}{res}         61     100.00                      
{txt}{hline 28}{hline 1}{c BT}{hline 44}

{com}.         
.         gen test_budsect_epol = (budsect_epol != .)
{txt}
{com}.         replace test_budsect_epol = . if asked_survey == 0 
{txt}(37 real changes made, 37 to missing)

{com}.         replace test_budsect_epol = . if elecpol_ovrsee == 0
{txt}(1 real change made, 1 to missing)

{com}.         fre test_budsect_epol
{res}
{txt}test_budsect_epol
{txt}{hline 9}{hline 1}{c TT}{hline 44}
{txt}        {txt}  {c |}      Freq.    Percent      Valid       Cum.
{txt}{hline 9}{hline 1}{c +}{hline 44}
{txt}Valid   1 {c |}{res}         23      37.70     100.00     100.00
{txt}Missing . {c |}{res}         38      62.30                      
{txt}Total     {c |}{res}         61     100.00                      
{txt}{hline 9}{hline 1}{c BT}{hline 44}

{com}.         assert inlist(test_budsect_epol,.,1)
{txt}
{com}.         
.         drop test_budsect_epol
{txt}
{com}.         
.         * budsect_apol
.         
.         lab var budsect_apol "Find about budget allocation to sectors (app. politician)"
{txt}
{com}.         
.         fre budsect_apol
{res}
{txt}budsect_apol {hline 2} Find about budget allocation to sectors (app. politician)
{txt}{hline 8}{hline 1}{c TT}{hline 44}
{txt}        {txt} {c |}      Freq.    Percent      Valid       Cum.
{txt}{hline 8}{hline 1}{c +}{hline 44}
{txt}Missing  {c |}{res}         61     100.00                      
{txt}{hline 8}{hline 1}{c BT}{hline 44}

{com}.         
.         replace budsect_apol = "1" if regexm(budsect_apol,"Very easy")
{txt}(0 real changes made)

{com}.         replace budsect_apol = "2" if regexm(budsect_apol,"Somewhat easy")
{txt}(0 real changes made)

{com}.         replace budsect_apol = "3" if regexm(budsect_apol,"Somewhat difficult")
{txt}(0 real changes made)

{com}.         replace budsect_apol = "4" if regexm(budsect_apol,"Very difficult")
{txt}(0 real changes made)

{com}.         replace budsect_apol = "5" if regexm(budsect_apol,"Not applicable")
{txt}(0 real changes made)

{com}.         replace budsect_apol = "6" if regexm(budsect_apol,"Do not know")
{txt}(0 real changes made)

{com}.         
.         destring budsect_apol, replace
{txt}budsect_apol: all characters numeric; {res}replaced {txt}as {res}byte
{txt}(61 missing values generated)
{res}{txt}
{com}.         lab def budsect_apol 1 "Very easy" 2 "Somewhat easy" 3 "Somewhat difficult" 4 "Very difficult" 5 "Not applicable, this level of government has no spending power" 6 "Do not know / Refuse to answer"
{txt}
{com}.         lab val budsect_apol budsect_apol
{txt}
{com}.         
.         fre budsect_apol
{res}
{txt}budsect_apol {hline 2} Find about budget allocation to sectors (app. politician)
{txt}{hline 13}{hline 1}{c TT}{hline 44}
{txt}        {txt}      {c |}      Freq.    Percent      Valid       Cum.
{txt}{hline 13}{hline 1}{c +}{hline 44}
{txt}Missing .     {c |}{res}         61     100.00                      
{txt}{hline 13}{hline 1}{c BT}{hline 44}

{com}.         
.         gen test_budsect_apol = (budsect_apol != .)
{txt}
{com}.         replace test_budsect_apol = . if asked_survey == 0
{txt}(37 real changes made, 37 to missing)

{com}.         replace test_budsect_apol = . if aptpol_d == 0
{txt}(14 real changes made, 14 to missing)

{com}.         replace test_budsect_apol = . if elecpol_ovrsee == 1 
{txt}(10 real changes made, 10 to missing)

{com}.         fre test_budsect_apol
{res}
{txt}test_budsect_apol
{txt}{hline 9}{hline 1}{c TT}{hline 44}
{txt}        {txt}  {c |}      Freq.    Percent      Valid       Cum.
{txt}{hline 9}{hline 1}{c +}{hline 44}
{txt}Missing . {c |}{res}         61     100.00                      
{txt}{hline 9}{hline 1}{c BT}{hline 44}

{com}.         assert inlist(test_budsect_apol,.,1)
{txt}
{com}.         
.         drop test_budsect_apol
{txt}
{com}.         
.         * acinfexp_epol
.         
.         lab var acinfexp_epol "Obtain detailed info about expenditures (elec. politician)"
{txt}
{com}.         
.         fre acinfexp_epol
{res}
{txt}acinfexp_epol {hline 2} Obtain detailed info about expenditures (elec. politician)
{txt}{hline 26}{hline 1}{c TT}{hline 44}
{txt}        {txt}                   {c |}      Freq.    Percent      Valid       Cum.
{txt}{hline 26}{hline 1}{c +}{hline 44}
{txt}Valid   Somewhat difficult {c |}{res}          5       8.20      21.74      21.74
{txt}        Somewhat easy      {c |}{res}          3       4.92      13.04      34.78
{txt}        Very difficult     {c |}{res}          1       1.64       4.35      39.13
{txt}        Very easy          {c |}{res}         14      22.95      60.87     100.00
{txt}        Total              {c |}{res}         23      37.70     100.00           
{txt}Missing                    {c |}{res}         38      62.30                      
{txt}Total                      {c |}{res}         61     100.00                      
{txt}{hline 26}{hline 1}{c BT}{hline 44}

{com}.         
.         replace acinfexp_epol = "1" if regexm(acinfexp_epol,"Very easy")
{txt}(14 real changes made)

{com}.         replace acinfexp_epol = "2" if regexm(acinfexp_epol,"Somewhat easy")
{txt}(3 real changes made)

{com}.         replace acinfexp_epol = "3" if regexm(acinfexp_epol,"Somewhat difficult")
{txt}(5 real changes made)

{com}.         replace acinfexp_epol = "4" if regexm(acinfexp_epol,"Very difficult")
{txt}(1 real change made)

{com}.         replace acinfexp_epol = "5" if regexm(acinfexp_epol,"Not applicable")
{txt}(0 real changes made)

{com}.         replace acinfexp_epol = "6" if regexm(acinfexp_epol,"Do not know")
{txt}(0 real changes made)

{com}.         
.         destring acinfexp_epol, replace
{txt}acinfexp_epol: all characters numeric; {res}replaced {txt}as {res}byte
{txt}(38 missing values generated)
{res}{txt}
{com}.         lab def acinfexp_epol 1 "Very easy" 2 "Somewhat easy" 3 "Somewhat difficult" 4 "Very difficult" 5 "Not applicable, this level of government has no spending power" 6 "Do not know / Refuse to answer"
{txt}
{com}.         lab val acinfexp_epol acinfexp_epol
{txt}
{com}.         
.         fre acinfexp_epol
{res}
{txt}acinfexp_epol {hline 2} Obtain detailed info about expenditures (elec. politician)
{txt}{hline 28}{hline 1}{c TT}{hline 44}
{txt}        {txt}                     {c |}      Freq.    Percent      Valid       Cum.
{txt}{hline 28}{hline 1}{c +}{hline 44}
{txt}Valid   1 Very easy          {c |}{res}         14      22.95      60.87      60.87
{txt}        2 Somewhat easy      {c |}{res}          3       4.92      13.04      73.91
{txt}        3 Somewhat difficult {c |}{res}          5       8.20      21.74      95.65
{txt}        4 Very difficult     {c |}{res}          1       1.64       4.35     100.00
{txt}        Total                {c |}{res}         23      37.70     100.00           
{txt}Missing .                    {c |}{res}         38      62.30                      
{txt}Total                        {c |}{res}         61     100.00                      
{txt}{hline 28}{hline 1}{c BT}{hline 44}

{com}.         
.         gen test_acinfexp_epol = (acinfexp_epol != .)
{txt}
{com}.         replace test_acinfexp_epol = . if asked_survey == 0 
{txt}(37 real changes made, 37 to missing)

{com}.         replace test_acinfexp_epol = . if elecpol_ovrsee == 0
{txt}(1 real change made, 1 to missing)

{com}.         fre test_acinfexp_epol
{res}
{txt}test_acinfexp_epol
{txt}{hline 9}{hline 1}{c TT}{hline 44}
{txt}        {txt}  {c |}      Freq.    Percent      Valid       Cum.
{txt}{hline 9}{hline 1}{c +}{hline 44}
{txt}Valid   1 {c |}{res}         23      37.70     100.00     100.00
{txt}Missing . {c |}{res}         38      62.30                      
{txt}Total     {c |}{res}         61     100.00                      
{txt}{hline 9}{hline 1}{c BT}{hline 44}

{com}.         assert inlist(test_acinfexp_epol,.,1)
{txt}
{com}.         
.         drop test_acinfexp_epol
{txt}
{com}.         
.         * acinfexp_apol
.         
.         lab var acinfexp_apol "Obtain detailed info about expenditures (app. politician)"
{txt}
{com}.         
.         fre acinfexp_apol
{res}
{txt}acinfexp_apol {hline 2} Obtain detailed info about expenditures (app. politician)
{txt}{hline 8}{hline 1}{c TT}{hline 44}
{txt}        {txt} {c |}      Freq.    Percent      Valid       Cum.
{txt}{hline 8}{hline 1}{c +}{hline 44}
{txt}Missing  {c |}{res}         61     100.00                      
{txt}{hline 8}{hline 1}{c BT}{hline 44}

{com}.         
.         replace acinfexp_apol = "1" if regexm(acinfexp_apol,"Very easy")
{txt}(0 real changes made)

{com}.         replace acinfexp_apol = "2" if regexm(acinfexp_apol,"Somewhat easy")
{txt}(0 real changes made)

{com}.         replace acinfexp_apol = "3" if regexm(acinfexp_apol,"Somewhat difficult")
{txt}(0 real changes made)

{com}.         replace acinfexp_apol = "4" if regexm(acinfexp_apol,"Very difficult")
{txt}(0 real changes made)

{com}.         replace acinfexp_apol = "5" if regexm(acinfexp_apol,"Not applicable")
{txt}(0 real changes made)

{com}.         replace acinfexp_apol = "6" if regexm(acinfexp_apol,"Do not know")
{txt}(0 real changes made)

{com}.         
.         destring acinfexp_apol, replace
{txt}acinfexp_apol: all characters numeric; {res}replaced {txt}as {res}byte
{txt}(61 missing values generated)
{res}{txt}
{com}.         lab def acinfexp_apol 1 "Very easy" 2 "Somewhat easy" 3 "Somewhat difficult" 4 "Very difficult" 5 "Not applicable, this level of government has no spending power" 6 "Do not know / Refuse to answer"
{txt}
{com}.         lab val acinfexp_apol acinfexp_apol
{txt}
{com}.         
.         fre acinfexp_apol
{res}
{txt}acinfexp_apol {hline 2} Obtain detailed info about expenditures (app. politician)
{txt}{hline 13}{hline 1}{c TT}{hline 44}
{txt}        {txt}      {c |}      Freq.    Percent      Valid       Cum.
{txt}{hline 13}{hline 1}{c +}{hline 44}
{txt}Missing .     {c |}{res}         61     100.00                      
{txt}{hline 13}{hline 1}{c BT}{hline 44}

{com}.         
.         gen test_acinfexp_apol = (acinfexp_apol != .)
{txt}
{com}.         replace test_acinfexp_apol = . if asked_survey == 0
{txt}(37 real changes made, 37 to missing)

{com}.         replace test_acinfexp_apol = . if aptpol_d == 0
{txt}(14 real changes made, 14 to missing)

{com}.         replace test_acinfexp_apol = . if elecpol_ovrsee == 1 
{txt}(10 real changes made, 10 to missing)

{com}.         fre test_acinfexp_apol
{res}
{txt}test_acinfexp_apol
{txt}{hline 9}{hline 1}{c TT}{hline 44}
{txt}        {txt}  {c |}      Freq.    Percent      Valid       Cum.
{txt}{hline 9}{hline 1}{c +}{hline 44}
{txt}Missing . {c |}{res}         61     100.00                      
{txt}{hline 9}{hline 1}{c BT}{hline 44}

{com}.         assert inlist(test_acinfexp_apol,.,1)
{txt}
{com}.         
.         drop test_acinfexp_apol
{txt}
{com}.         
.         * understand_epol
.         
.         lab var understand_epol "Has capacity to read/understand budget (elec. politician)"
{txt}
{com}.         
.         fre understand_epol
{res}
{txt}understand_epol {hline 2} Has capacity to read/understand budget (elec. politician)
{txt}{hline 28}{hline 1}{c TT}{hline 44}
{txt}        {txt}                     {c |}      Freq.    Percent      Valid       Cum.
{txt}{hline 28}{hline 1}{c +}{hline 44}
{txt}Valid   Definitely capable   {c |}{res}          1       1.64       5.26       5.26
{txt}        Only with difficulty {c |}{res}          2       3.28      10.53      15.79
{txt}        Somewhat capable     {c |}{res}          9      14.75      47.37      63.16
{txt}        Definitely capable   {c |}{res}          2       3.28      10.53      73.68
{txt}        Only with difficulty {c |}{res}          1       1.64       5.26      78.95
{txt}        Somewhat capable     {c |}{res}          4       6.56      21.05     100.00
{txt}        Total                {c |}{res}         19      31.15     100.00           
{txt}Missing                      {c |}{res}         42      68.85                      
{txt}Total                        {c |}{res}         61     100.00                      
{txt}{hline 28}{hline 1}{c BT}{hline 44}

{com}.         
.         replace understand_epol = "1" if regexm(understand_epol,"Definitely capable")
{txt}(3 real changes made)

{com}.         replace understand_epol = "2" if regexm(understand_epol,"Somewhat capable")
{txt}(13 real changes made)

{com}.         replace understand_epol = "3" if regexm(understand_epol,"Only with difficulty")
{txt}(3 real changes made)

{com}.         replace understand_epol = "4" if regexm(understand_epol,"Not capable")
{txt}(0 real changes made)

{com}.         replace understand_epol = "5" if regexm(understand_epol,"Do not know")
{txt}(0 real changes made)

{com}.         
.         fre understand_epol
{res}
{txt}understand_epol {hline 2} Has capacity to read/understand budget (elec. politician)
{txt}{hline 13}{hline 1}{c TT}{hline 44}
{txt}        {txt}      {c |}      Freq.    Percent      Valid       Cum.
{txt}{hline 13}{hline 1}{c +}{hline 44}
{txt}Valid   1     {c |}{res}          3       4.92      15.79      15.79
{txt}        2     {c |}{res}         13      21.31      68.42      84.21
{txt}        3     {c |}{res}          3       4.92      15.79     100.00
{txt}        Total {c |}{res}         19      31.15     100.00           
{txt}Missing       {c |}{res}         42      68.85                      
{txt}Total         {c |}{res}         61     100.00                      
{txt}{hline 13}{hline 1}{c BT}{hline 44}

{com}.         
.         destring understand_epol, replace
{txt}understand_epol: all characters numeric; {res}replaced {txt}as {res}byte
{txt}(42 missing values generated)
{res}{txt}
{com}.         lab def understand_epol 1 "Definitely capable" 2 "Somewhat capable" 3 "Only with difficulty" 4 "Not capable" 5 "Do not know / Refuse to answer"
{txt}
{com}.         lab val understand_epol understand_epol
{txt}
{com}.         
.         fre understand_epol
{res}
{txt}understand_epol {hline 2} Has capacity to read/understand budget (elec. politician)
{txt}{hline 30}{hline 1}{c TT}{hline 44}
{txt}        {txt}                       {c |}      Freq.    Percent      Valid       Cum.
{txt}{hline 30}{hline 1}{c +}{hline 44}
{txt}Valid   1 Definitely capable   {c |}{res}          3       4.92      15.79      15.79
{txt}        2 Somewhat capable     {c |}{res}         13      21.31      68.42      84.21
{txt}        3 Only with difficulty {c |}{res}          3       4.92      15.79     100.00
{txt}        Total                  {c |}{res}         19      31.15     100.00           
{txt}Missing .                      {c |}{res}         42      68.85                      
{txt}Total                          {c |}{res}         61     100.00                      
{txt}{hline 30}{hline 1}{c BT}{hline 44}

{com}.         
.         gen test_understand_epol = (understand_epol != .)
{txt}
{com}.         replace test_understand_epol = . if asked_survey == 0 
{txt}(37 real changes made, 37 to missing)

{com}.         replace test_understand_epol = . if elecpol_ovrsee == 0
{txt}(1 real change made, 1 to missing)

{com}.         fre test_understand_epol
{res}
{txt}test_understand_epol
{txt}{hline 13}{hline 1}{c TT}{hline 44}
{txt}        {txt}      {c |}      Freq.    Percent      Valid       Cum.
{txt}{hline 13}{hline 1}{c +}{hline 44}
{txt}Valid   0     {c |}{res}          4       6.56      17.39      17.39
{txt}        1     {c |}{res}         19      31.15      82.61     100.00
{txt}        Total {c |}{res}         23      37.70     100.00           
{txt}Missing .     {c |}{res}         38      62.30                      
{txt}Total         {c |}{res}         61     100.00                      
{txt}{hline 13}{hline 1}{c BT}{hline 44}

{com}.         *assert inlist(test_understand_epol,.,1)
.         
.         *drop test_understand_epol
.         
.         * understand_apol
.         
.         lab var understand_apol "Has capacity to read/understand budget (app. politician)"
{txt}
{com}.         
.         fre understand_apol
{res}
{txt}understand_apol {hline 2} Has capacity to read/understand budget (app. politician)
{txt}{hline 28}{hline 1}{c TT}{hline 44}
{txt}        {txt}                     {c |}      Freq.    Percent      Valid       Cum.
{txt}{hline 28}{hline 1}{c +}{hline 44}
{txt}Valid   Definitely capable   {c |}{res}          1       1.64      50.00      50.00
{txt}        Only with difficulty {c |}{res}          1       1.64      50.00     100.00
{txt}        Total                {c |}{res}          2       3.28     100.00           
{txt}Missing                      {c |}{res}         59      96.72                      
{txt}Total                        {c |}{res}         61     100.00                      
{txt}{hline 28}{hline 1}{c BT}{hline 44}

{com}.         
.         replace understand_apol = "1" if regexm(understand_apol,"Definitely capable")
{txt}(1 real change made)

{com}.         replace understand_apol = "2" if regexm(understand_apol,"Somewhat capable")
{txt}(0 real changes made)

{com}.         replace understand_apol = "3" if regexm(understand_apol,"Only with difficulty")
{txt}(1 real change made)

{com}.         replace understand_apol = "4" if regexm(understand_apol,"Not capable")
{txt}(0 real changes made)

{com}.         replace understand_apol = "5" if regexm(understand_apol,"Do not know")
{txt}(0 real changes made)

{com}.         
.         destring understand_apol, replace
{txt}understand_apol: all characters numeric; {res}replaced {txt}as {res}byte
{txt}(59 missing values generated)
{res}{txt}
{com}.         lab def understand_apol 1 "Definitely capable" 2 "Somewhat capable" 3 "Only with difficulty" 4 "Not capable" 5 "Do not know / Refuse to answer"
{txt}
{com}.         lab val understand_apol understand_apol
{txt}
{com}.         
.         fre understand_apol
{res}
{txt}understand_apol {hline 2} Has capacity to read/understand budget (app. politician)
{txt}{hline 30}{hline 1}{c TT}{hline 44}
{txt}        {txt}                       {c |}      Freq.    Percent      Valid       Cum.
{txt}{hline 30}{hline 1}{c +}{hline 44}
{txt}Valid   1 Definitely capable   {c |}{res}          1       1.64      50.00      50.00
{txt}        3 Only with difficulty {c |}{res}          1       1.64      50.00     100.00
{txt}        Total                  {c |}{res}          2       3.28     100.00           
{txt}Missing .                      {c |}{res}         59      96.72                      
{txt}Total                          {c |}{res}         61     100.00                      
{txt}{hline 30}{hline 1}{c BT}{hline 44}

{com}.         
.         gen test_understand_apol = (understand_apol != .)
{txt}
{com}.         replace test_understand_apol = . if asked_survey == 0
{txt}(37 real changes made, 37 to missing)

{com}.         replace test_understand_apol = . if aptpol_d == 0
{txt}(14 real changes made, 14 to missing)

{com}.         replace test_understand_apol = . if elecpol_ovrsee == 1 
{txt}(10 real changes made, 10 to missing)

{com}.         fre test_understand_apol
{res}
{txt}test_understand_apol
{txt}{hline 9}{hline 1}{c TT}{hline 44}
{txt}        {txt}  {c |}      Freq.    Percent      Valid       Cum.
{txt}{hline 9}{hline 1}{c +}{hline 44}
{txt}Missing . {c |}{res}         61     100.00                      
{txt}{hline 9}{hline 1}{c BT}{hline 44}

{com}.         assert inlist(test_understand_apol,.,1)
{txt}
{com}.         
.         drop test_understand_apol
{txt}
{com}.         
.         * acttake_epol
.         
.         lab var acttake_epol "Elec. pol not satisfied with head bureaucrat, which action"
{txt}
{com}.         fre acttake_epol
{res}
{txt}acttake_epol {hline 2} Elec. pol not satisfied with head bureaucrat, which action
{txt}{hline 58}{hline 1}{c TT}{hline 44}
{txt}        {txt}                                                   {c |}      Freq.    Percent      Valid       Cum.
{txt}{hline 58}{hline 1}{c +}{hline 44}
{txt}Valid   Complain to the ministry / higher-up bureaucrats   {c |}{res}          2       3.28       8.70       8.70
{txt}        Complain to the ministry / higher-up               {c |}{res}          1       1.64       4.35      13.04
{txt}        bureaucrats,Complain to higher-level politicians   {c |}{res}                                            
{txt}        Issue a formal warning                             {c |}{res}          1       1.64       4.35      17.39
{txt}        Issue a formal warning,Complain to the ministry /  {c |}{res}          2       3.28       8.70      26.09
{txt}        higher-up bureaucrats,Complain to higher-level     {c |}{res}                                            
{txt}        politicians                                        {c |}{res}                                            
{txt}        Other (please specify)                             {c |}{res}          2       3.28       8.70      34.78
{txt}        Request a transfer with high probability of        {c |}{res}          2       3.28       8.70      43.48
{txt}        success                                            {c |}{res}                                            
{txt}        Request a transfer with high probability of        {c |}{res}          1       1.64       4.35      47.83
{txt}        success,Issue a formal warning,Complain to the     {c |}{res}                                            
{txt}        ministry / higher-up bureaucrats                   {c |}{res}                                            
{txt}        Request a transfer with low probability of success {c |}{res}          1       1.64       4.35      52.17
{txt}        Request a transfer with low probability of         {c |}{res}          1       1.64       4.35      56.52
{txt}        success,Complain to the ministry / higher-up       {c |}{res}                                            
{txt}        bureaucrats,Bring the issue to the attention of    {c |}{res}                                            
{txt}        the media,Mobilize citizens                        {c |}{res}                                            
{txt}        Request a transfer with medium probability of      {c |}{res}          2       3.28       8.70      65.22
{txt}        success                                            {c |}{res}                                            
{txt}        Request a transfer with medium probability of      {c |}{res}          1       1.64       4.35      69.57
{txt}        success,Issue a formal warning,Complain to the     {c |}{res}                                            
{txt}        ministry / higher-up bureaucrats,Complain to       {c |}{res}                                            
{txt}        higher-level politicians                           {c |}{res}                                            
{txt}        Terminate contract/fire bureaucrat                 {c |}{res}          1       1.64       4.35      73.91
{txt}        Terminate contract/fire bureaucrat,Transfer the    {c |}{res}          3       4.92      13.04      86.96
{txt}        bureaucrat,Issue a formal warning,Bring the issue  {c |}{res}                                            
{txt}        to the attention of the media                      {c |}{res}                                            
{txt}        Transfer the bureaucrat                            {c |}{res}          1       1.64       4.35      91.30
{txt}        Transfer the bureaucrat,Other (please specify)     {c |}{res}          2       3.28       8.70     100.00
{txt}        Total                                              {c |}{res}         23      37.70     100.00           
{txt}Missing                                                    {c |}{res}         38      62.30                      
{txt}Total                                                      {c |}{res}         61     100.00                      
{txt}{hline 58}{hline 1}{c BT}{hline 44}

{com}.         
.         replace acttake_epol = subinstr(acttake_epol,","," ",.)
{txt}(11 real changes made)

{com}.         replace acttake_epol = subinstr(acttake_epol,"Terminate contract/fire bureaucrat","1",.)
{txt}(4 real changes made)

{com}.         
.         fre acttake_epol
{res}
{txt}acttake_epol {hline 2} Elec. pol not satisfied with head bureaucrat, which action
{txt}{hline 58}{hline 1}{c TT}{hline 44}
{txt}        {txt}                                                   {c |}      Freq.    Percent      Valid       Cum.
{txt}{hline 58}{hline 1}{c +}{hline 44}
{txt}Valid   1                                                  {c |}{res}          1       1.64       4.35       4.35
{txt}        1 Transfer the bureaucrat Issue a formal warning   {c |}{res}          3       4.92      13.04      17.39
{txt}        Bring the issue to the attention of the media      {c |}{res}                                            
{txt}        Complain to the ministry / higher-up bureaucrats   {c |}{res}          2       3.28       8.70      26.09
{txt}        Complain to the ministry / higher-up bureaucrats   {c |}{res}          1       1.64       4.35      30.43
{txt}        Complain to higher-level politicians               {c |}{res}                                            
{txt}        Issue a formal warning                             {c |}{res}          1       1.64       4.35      34.78
{txt}        Issue a formal warning Complain to the ministry /  {c |}{res}          2       3.28       8.70      43.48
{txt}        higher-up bureaucrats Complain to higher-level     {c |}{res}                                            
{txt}        politicians                                        {c |}{res}                                            
{txt}        Other (please specify)                             {c |}{res}          2       3.28       8.70      52.17
{txt}        Request a transfer with high probability of        {c |}{res}          2       3.28       8.70      60.87
{txt}        success                                            {c |}{res}                                            
{txt}        Request a transfer with high probability of        {c |}{res}          1       1.64       4.35      65.22
{txt}        success Issue a formal warning Complain to the     {c |}{res}                                            
{txt}        ministry / higher-up bureaucrats                   {c |}{res}                                            
{txt}        Request a transfer with low probability of success {c |}{res}          1       1.64       4.35      69.57
{txt}        Request a transfer with low probability of success {c |}{res}          1       1.64       4.35      73.91
{txt}        Complain to the ministry / higher-up bureaucrats   {c |}{res}                                            
{txt}        Bring the issue to the attention of the media      {c |}{res}                                            
{txt}        Mobilize citizens                                  {c |}{res}                                            
{txt}        Request a transfer with medium probability of      {c |}{res}          2       3.28       8.70      82.61
{txt}        success                                            {c |}{res}                                            
{txt}        Request a transfer with medium probability of      {c |}{res}          1       1.64       4.35      86.96
{txt}        success Issue a formal warning Complain to the     {c |}{res}                                            
{txt}        ministry / higher-up bureaucrats Complain to       {c |}{res}                                            
{txt}        higher-level politicians                           {c |}{res}                                            
{txt}        Transfer the bureaucrat                            {c |}{res}          1       1.64       4.35      91.30
{txt}        Transfer the bureaucrat Other (please specify)     {c |}{res}          2       3.28       8.70     100.00
{txt}        Total                                              {c |}{res}         23      37.70     100.00           
{txt}Missing                                                    {c |}{res}         38      62.30                      
{txt}Total                                                      {c |}{res}         61     100.00                      
{txt}{hline 58}{hline 1}{c BT}{hline 44}

{com}.         
.         e

{txt}end of do-file


{com}. do "/var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//SD44938.000000"
{txt}
{com}. 
.         * Purpose: Importing data to run HFC
.         
.         * Setting up globals
.         
.         if "`c(username)'" == "fredericcochinard" {c -(}
.                 
.                 global import_folder "/Users/fredericcochinard/Dropbox/Expert survey/Data/0.survey_dataset/0.import"
.                 global output "/Users/fredericcochinard/Dropbox/Expert survey/Data/0.survey_dataset/1.output"
.                 
.                 {c )-}
{txt}
{com}.                 
.         if "`c(username)'" == "" {c -(}
.         
.                 
.                 {c )-}
{txt}
{com}.         
.         * Looking for renaming folder with problem
.         
.         local myfiles: dir "$import_folder" files "*.xlsx"
{txt}
{com}. 
.         foreach file of local myfiles {c -(}
{txt}  2{com}.                 
.                 local subfile = substr("`file'", 1, .)
{txt}  3{com}.                 local subfile : subinstr local subfile " " "_", all
{txt}  4{com}.                 ! mv "${c -(}import_folder{c )-}/`file'" "${c -(}import_folder{c )-}/`subfile'"
{txt}  5{com}.                 
.                 {c )-}
{txt}

{com}.         
.         * Looking for dataset
.         
.         filelist , dir("$import_folder") pat("*.xlsx")
{res}{txt}Number of files found = {res}1
{txt}
{com}.         
.         gen url = filename
{txt}
{com}.         
.         levelsof url
{txt}`"Expert_survey_February_18,_2025_16.23.xlsx"'

{com}. 
.         local lvlfiles `r(levels)'
{txt}
{com}.         
.         local z = 0
{txt}
{com}.         
.         foreach lvl of local lvlfiles {c -(}
{txt}  2{com}.         
.                 local z = `z' + 1
{txt}  3{com}.                 
.                 local temp : subinstr local lvl `"""' "", all
{txt}  4{com}.                 local url : subinstr local temp "'" "", all
{txt}  5{com}.         
.                 import excel "${c -(}import_folder{c )-}/`url'", first case(lower) clear
{txt}  6{com}.                 
.                 gen num = _n
{txt}  7{com}.                 drop if num == 1
{txt}  8{com}.                 
.                 * Preparing the append
.                 
.                 tempfile data`z'
{txt}  9{com}.                 sa "`data`z''"
{txt} 10{com}.                 
.                 {c )-}
{res}{txt}(1 observation deleted)
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.000001 saved

{com}.                 
.         * We append the dataset to start cleaning
.         
.         use "`data1'", clear
{txt}
{com}.         
.         forvalues x = 2/`z' {c -(}
{txt}  2{com}.         
.                 append using "`data`x''"
{txt}  3{com}.                 
.                 {c )-}
{txt}
{com}.                 
.         duplicates drop

{p 0 4}{txt}Duplicates in terms of {txt} all variables{p_end}

(0 observations are duplicates)

{com}.         
.         * We keep relevant variable
.         drop if recipientemail == "frederic.cochinard@gmail.com"
{txt}(8 observations deleted)

{com}.         drop if recipientemail == "vedpant+spanish@college.harvard.edu"
{txt}(1 observation deleted)

{com}.         drop if recipientemail == "frederic.cochinard+3@gmail.com"
{txt}(1 observation deleted)

{com}.         drop if recipientemail == "frederic.cochinard+1@gmail.com"
{txt}(1 observation deleted)

{com}.         
.         * We remove observation that are not finished
.         drop if finished == "False"
{txt}(9 observations deleted)

{com}.         
.         * We create a save
.         
.         tempfile save_data
{txt}
{com}.         sa "`save_data'"
{txt}file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.000002 saved

{com}.         
.         ******************
.         * Payment module *
.         ******************
.         
.         preserve
{txt}
{com}.         
.         keep responseid method_pay_bank_in_q-q977
{txt}
{com}.         compress
  {txt}variable {bf}method_pay_bank_in_q{sf} was {bf}{res}str237{sf}{txt} now {bf}{res}str24{sf}
  {txt}variable {bf}expert_donation_org{sf} was {bf}{res}str129{sf}{txt} now {bf}{res}str23{sf}
  {txt}variable {bf}q967{sf} was {bf}{res}str236{sf}{txt} now {bf}{res}str65{sf}
  {txt}variable {bf}q978{sf} was {bf}{res}str326{sf}{txt} now {bf}{res}str16{sf}
  {txt}variable {bf}q979{sf} was {bf}{res}str104{sf}{txt} now {bf}{res}str39{sf}
  {txt}variable {bf}q980{sf} was {bf}{res}str95{sf}{txt} now {bf}{res}str11{sf}
  {txt}variable {bf}q987{sf} was {bf}{res}str170{sf}{txt} now {bf}{res}str24{sf}
  {txt}variable {bf}q984{sf} was {bf}{res}str326{sf}{txt} now {bf}{res}str1{sf}
  {txt}variable {bf}q985{sf} was {bf}{res}str104{sf}{txt} now {bf}{res}str1{sf}
  {txt}variable {bf}q986{sf} was {bf}{res}str95{sf}{txt} now {bf}{res}str1{sf}
  {txt}variable {bf}q988{sf} was {bf}{res}str170{sf}{txt} now {bf}{res}str1{sf}
  {txt}variable {bf}q989{sf} was {bf}{res}str559{sf}{txt} now {bf}{res}str1{sf}
  {txt}variable {bf}q990{sf} was {bf}{res}str102{sf}{txt} now {bf}{res}str1{sf}
  {txt}variable {bf}q991{sf} was {bf}{res}str93{sf}{txt} now {bf}{res}str1{sf}
  {txt}variable {bf}q992{sf} was {bf}{res}str170{sf}{txt} now {bf}{res}str1{sf}
  {txt}variable {bf}q998{sf} was {bf}{res}str537{sf}{txt} now {bf}{res}str1{sf}
  {txt}variable {bf}q997{sf} was {bf}{res}str105{sf}{txt} now {bf}{res}str1{sf}
  {txt}variable {bf}q999{sf} was {bf}{res}str104{sf}{txt} now {bf}{res}str1{sf}
  {txt}variable {bf}q1000{sf} was {bf}{res}str95{sf}{txt} now {bf}{res}str1{sf}
  {txt}variable {bf}q1001{sf} was {bf}{res}str170{sf}{txt} now {bf}{res}str1{sf}
  {txt}variable {bf}q977{sf} was {bf}{res}str502{sf}{txt} now {bf}{res}str23{sf}
{txt}  (46,101 bytes saved)

{com}.         
.         * Donate_d
.         
.         gen donate_d = 0
{txt}
{com}.         replace donate_d = 1 if method_pay_bank_in_q == "I prefer to donate"
{txt}(3 real changes made)

{com}.         
.         * Special case
.         replace donate_d = 1 if responseid == "R_4ouc7tR6BFj3gpb" // respondent is refusing to take money in comments
{txt}(1 real change made)

{com}.         replace donate_d = 1 if responseid == "R_4Iow7YzsoT2KTOx" // respondent is writing cancel in comments
{txt}(1 real change made)

{com}.         
.         lab var donate_d "Respondent decided to donate"
{txt}
{com}.         lab def donate_d 0 "No" 1 "Yes"
{txt}
{com}.         lab val donate_d donate_d
{txt}
{com}.         order donate_d, after(responseid)
{txt}
{com}.         
.         * Org
.         
.         gen org_donation_id = "" 
{txt}(11 missing values generated)

{com}.         replace org_donation_id = expert_donation_org if donate_d == 1
{txt}variable {bf}org_donation_id{sf} was {bf}{res}str1{sf}{txt} now {bf}{res}str23{sf}
{txt}(3 real changes made)

{com}.         replace org_donation_id = "No choice" if donate_d == 1 & org_donation_id == ""
{txt}(2 real changes made)

{com}.         lab var org_donation_id "Name of the organization the respondent chose to donate"
{txt}
{com}.         order org_donation_id, after(donate_d)
{txt}
{com}.         
.         * Paid status
.         
.         gen paid_status = 0
{txt}
{com}.         replace paid_status = 2 if donate_d == 1
{txt}(5 real changes made)

{com}.         
.         * Case of payment
.         
.         lab var paid_status "Status of payment of the respondent"
{txt}
{com}.         lab def paid_status 0 "Not yet" 1 "Yes" 2 "Donation"
{txt}
{com}.         lab val paid_status paid_status
{txt}
{com}.         order paid_status, after(org_donation_id)
{txt}
{com}.         
.         keep responseid donate_d org_donation_id paid_status
{txt}
{com}.         
.         tempfile payment_module
{txt}
{com}.         sa "`payment_module'"
{txt}file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.000004 saved

{com}.         
.         restore
{txt}
{com}.         
.         * Main form of survey 
.         keep country full_name recipientemail responseid progress durationinseconds finished userlanguage num_unit confirmation_* ///
>         title_bur* elecpol_ovrsee* title_elecpol* aptpol_d* title_aptpol* who_aptpol* mostinf_servdel* educ_elecpolbur* ///
>         educ_apolbur* slry_elecpolbur* slry_apolbur* fdout_epol_bgt* fdout_apol_bgt* budsect_epol* budsect_apol* acinfexp_epol* /// 
>         acinfexp_apol* understand_epol* understand_apol* acttake_epol* acttake_epol* acttake_apol* acttake_apol* likely* why_likchan* /// 
>         who_apt_bur* who_apt_bur* who_fir_bur* who_fir_bur* ocap_epol* ocap_apol* prio_epol* prio_apol* overall_conf* avg_educ_epol* ///
>         avg_educ_apol* avg_educ_buro* avg_slry_epol* avg_slry_apol* avg_slry_buro* //
{txt}
{com}.         
.         destring durationinseconds progress, replace
{txt}durationinseconds: all characters numeric; {res}replaced {txt}as {res}int
{txt}progress: all characters numeric; {res}replaced {txt}as {res}byte
{txt}
{com}.         replace durationinseconds = round(durationinseconds/60)
{txt}(11 real changes made)

{com}.         ren durationinseconds duration_minutes
{res}{txt}
{com}. 
.         *--
.         
.         local id country full_name recipientemail responseid userlanguage num_unit finished progress duration_minutes
{txt}
{com}.         
.         order `id', first
{txt}
{com}.         duplicates drop `id', force

{p 0 4}{txt}Duplicates in terms of {res} country full_name recipientemail responseid userlanguage num_unit finished progress duration_minutes{p_end}

{txt}(0 observations are duplicates)

{com}.         
.         * Renaming others
.         
.         forvalues x = 1/3 {c -(}
{txt}  2{com}.                 
.                 forvalues y = 1/6 {c -(} 
{txt}  3{com}.                 
.                         cap ren who_apt_bur_`x'_`y'_8_text who_apt_buroth_`x'_`y'
{txt}  4{com}.                         cap ren who_fir_bur_`x'_`y'_8_text who_fir_buroth_`x'_`y'
{txt}  5{com}.                         cap ren acttake_epol_`x'_`y'_9_text acttake_epoloth_`x'_`y'
{txt}  6{com}.                         cap ren acttake_apol_`x'_`y'_9_text acttake_apoloth_`x'_`y'
{txt}  7{com}.                         
.                         {c )-}
{txt}  8{com}.                         
.                 {c )-}
{txt}
{com}.         
.         #delimit ;
{txt}delimiter now ;
{com}.         local var confirmation
>         title_bur 
>         elecpol_ovrsee
>         title_elecpol
>         aptpol_d
>         title_aptpol
>         who_aptpol
>         mostinf_servdel
>         educ_elecpolbur
>         educ_apolbur
>         slry_elecpolbur
>         slry_apolbur
>         fdout_epol_bgt
>         fdout_apol_bgt
>         budsect_epol
>         budsect_apol
>         acinfexp_epol
>         acinfexp_apol
>         understand_epol
>         understand_apol
>         acttake_epol
>         acttake_epoloth
>         acttake_apol
>         acttake_apoloth
>         likely
>         why_likchan
>         who_apt_bur
>         who_apt_buroth
>         who_fir_bur
>         who_fir_buroth
>         ocap_epol
>         ocap_apol
>         prio_epol
>         prio_apol
>         overall_conf
>         avg_educ_epol
>         avg_educ_apol
>         avg_educ_buro
>         avg_slry_epol
>         avg_slry_apol
>         avg_slry_buro
>         
>         ;
{txt}
{com}.                 #delimit cr
{txt}delimiter now cr
{com}. 
.         reshape long `var', i(`id') j(pos) s
{txt}(note: j = _1_1 _1_4 _1_5 _1_6 _2_1 _2_2 _2_4 _2_5 _2_6 _3_1 _3_2 _3_3 _3_4 _3_5 _3_6)
(note: confirmation_1_4 not found)
(note: confirmation_1_5 not found)
(note: confirmation_1_6 not found)
(note: confirmation_2_4 not found)
(note: confirmation_2_5 not found)
(note: confirmation_2_6 not found)
(note: confirmation_3_4 not found)
(note: confirmation_3_5 not found)
(note: confirmation_3_6 not found)

Data{col 36}wide{col 43}->{col 48}long
{hline 77}
Number of obs.                 {res}      11   {txt}->{res}     165
{txt}Number of variables            {res}     615   {txt}->{res}      51
{txt}j variable (15 values)                    ->   {res}pos
{txt}xij variables:
{res}confirmation_1_1 confirmation_1_4 ... confirmation_3_6{txt}->{res}confirmation
title_bur_1_1 title_bur_1_4 ... title_bur_3_6{txt}->{res}title_bur
elecpol_ovrsee_1_1 elecpol_ovrsee_1_4 ... elecpol_ovrsee_3_6{txt}->{res}elecpol_ovrsee
title_elecpol_1_1 title_elecpol_1_4 ... title_elecpol_3_6{txt}->{res}title_elecpol
aptpol_d_1_1 aptpol_d_1_4 ... aptpol_d_3_6{txt}->   {res}aptpol_d
title_aptpol_1_1 title_aptpol_1_4 ... title_aptpol_3_6{txt}->{res}title_aptpol
who_aptpol_1_1 who_aptpol_1_4 ... who_aptpol_3_6{txt}->{res}who_aptpol
mostinf_servdel_1_1 mostinf_servdel_1_4 ... mostinf_servdel_3_6{txt}->{res}mostinf_servdel
educ_elecpolbur_1_1 educ_elecpolbur_1_4 ... educ_elecpolbur_3_6{txt}->{res}educ_elecpolbur
educ_apolbur_1_1 educ_apolbur_1_4 ... educ_apolbur_3_6{txt}->{res}educ_apolbur
slry_elecpolbur_1_1 slry_elecpolbur_1_4 ... slry_elecpolbur_3_6{txt}->{res}slry_elecpolbur
slry_apolbur_1_1 slry_apolbur_1_4 ... slry_apolbur_3_6{txt}->{res}slry_apolbur
fdout_epol_bgt_1_1 fdout_epol_bgt_1_4 ... fdout_epol_bgt_3_6{txt}->{res}fdout_epol_bgt
fdout_apol_bgt_1_1 fdout_apol_bgt_1_4 ... fdout_apol_bgt_3_6{txt}->{res}fdout_apol_bgt
budsect_epol_1_1 budsect_epol_1_4 ... budsect_epol_3_6{txt}->{res}budsect_epol
budsect_apol_1_1 budsect_apol_1_4 ... budsect_apol_3_6{txt}->{res}budsect_apol
acinfexp_epol_1_1 acinfexp_epol_1_4 ... acinfexp_epol_3_6{txt}->{res}acinfexp_epol
acinfexp_apol_1_1 acinfexp_apol_1_4 ... acinfexp_apol_3_6{txt}->{res}acinfexp_apol
understand_epol_1_1 understand_epol_1_4 ... understand_epol_3_6{txt}->{res}understand_epol
understand_apol_1_1 understand_apol_1_4 ... understand_apol_3_6{txt}->{res}understand_apol
acttake_epol_1_1 acttake_epol_1_4 ... acttake_epol_3_6{txt}->{res}acttake_epol
acttake_epoloth_1_1 acttake_epoloth_1_4 ... acttake_epoloth_3_6{txt}->{res}acttake_epoloth
acttake_apol_1_1 acttake_apol_1_4 ... acttake_apol_3_6{txt}->{res}acttake_apol
acttake_apoloth_1_1 acttake_apoloth_1_4 ... acttake_apoloth_3_6{txt}->{res}acttake_apoloth
   likely_1_1 likely_1_4 ... likely_3_6   {txt}->   {res}likely
why_likchan_1_1 why_likchan_1_4 ... why_likchan_3_6{txt}->{res}why_likchan
who_apt_bur_1_1 who_apt_bur_1_4 ... who_apt_bur_3_6{txt}->{res}who_apt_bur
who_apt_buroth_1_1 who_apt_buroth_1_4 ... who_apt_buroth_3_6{txt}->{res}who_apt_buroth
who_fir_bur_1_1 who_fir_bur_1_4 ... who_fir_bur_3_6{txt}->{res}who_fir_bur
who_fir_buroth_1_1 who_fir_buroth_1_4 ... who_fir_buroth_3_6{txt}->{res}who_fir_buroth
ocap_epol_1_1 ocap_epol_1_4 ... ocap_epol_3_6{txt}->{res}ocap_epol
ocap_apol_1_1 ocap_apol_1_4 ... ocap_apol_3_6{txt}->{res}ocap_apol
prio_epol_1_1 prio_epol_1_4 ... prio_epol_3_6{txt}->{res}prio_epol
prio_apol_1_1 prio_apol_1_4 ... prio_apol_3_6{txt}->{res}prio_apol
overall_conf_1_1 overall_conf_1_4 ... overall_conf_3_6{txt}->{res}overall_conf
avg_educ_epol_1_1 avg_educ_epol_1_4 ... avg_educ_epol_3_6{txt}->{res}avg_educ_epol
avg_educ_apol_1_1 avg_educ_apol_1_4 ... avg_educ_apol_3_6{txt}->{res}avg_educ_apol
avg_educ_buro_1_1 avg_educ_buro_1_4 ... avg_educ_buro_3_6{txt}->{res}avg_educ_buro
avg_slry_epol_1_1 avg_slry_epol_1_4 ... avg_slry_epol_3_6{txt}->{res}avg_slry_epol
avg_slry_apol_1_1 avg_slry_apol_1_4 ... avg_slry_apol_3_6{txt}->{res}avg_slry_apol
avg_slry_buro_1_1 avg_slry_buro_1_4 ... avg_slry_buro_3_6{txt}->{res}avg_slry_buro
{txt}{hline 77}

{com}.         
.         * Filter data
.         
.         split pos, p("_")
{res}variables created as string: 
{txt}{col 1}pos1{col 7}pos2{col 13}pos3

{com}.         
.         drop pos1
{txt}
{com}.         ren pos2 case_n_unit
{res}{txt}
{com}.         ren pos3 unit_num
{res}{txt}
{com}.         destring case_n_unit unit_num, replace
{txt}case_n_unit: all characters numeric; {res}replaced {txt}as {res}byte
{txt}unit_num: all characters numeric; {res}replaced {txt}as {res}byte
{txt}
{com}.         order case_n_unit unit_num, after(duration_minutes)
{txt}
{com}.         drop pos
{txt}
{com}.         
.         destring num_unit, replace
{txt}num_unit: all characters numeric; {res}replaced {txt}as {res}byte
{txt}
{com}.         drop if num_unit != case_n_unit
{txt}(104 observations deleted)

{com}.         drop num_unit
{txt}
{com}.         
.         compress
  {txt}variable {bf}country{sf} was {bf}{res}str15{sf}{txt} now {bf}{res}str11{sf}
  {txt}variable {bf}full_name{sf} was {bf}{res}str28{sf}{txt} now {bf}{res}str23{sf}
  {txt}variable {bf}recipientemail{sf} was {bf}{res}str35{sf}{txt} now {bf}{res}str32{sf}
  {txt}variable {bf}userlanguage{sf} was {bf}{res}str13{sf}{txt} now {bf}{res}str2{sf}
  {txt}variable {bf}finished{sf} was {bf}{res}str8{sf}{txt} now {bf}{res}str4{sf}
  {txt}variable {bf}title_bur{sf} was {bf}{res}str448{sf}{txt} now {bf}{res}str235{sf}
  {txt}variable {bf}elecpol_ovrsee{sf} was {bf}{res}str352{sf}{txt} now {bf}{res}str3{sf}
  {txt}variable {bf}title_elecpol{sf} was {bf}{res}str312{sf}{txt} now {bf}{res}str288{sf}
  {txt}variable {bf}aptpol_d{sf} was {bf}{res}str332{sf}{txt} now {bf}{res}str30{sf}
  {txt}variable {bf}who_aptpol{sf} was {bf}{res}str96{sf}{txt} now {bf}{res}str84{sf}
  {txt}variable {bf}mostinf_servdel{sf} was {bf}{res}str256{sf}{txt} now {bf}{res}str44{sf}
  {txt}variable {bf}educ_elecpolbur{sf} was {bf}{res}str258{sf}{txt} now {bf}{res}str51{sf}
  {txt}variable {bf}educ_apolbur{sf} was {bf}{res}str260{sf}{txt} now {bf}{res}str1{sf}
  {txt}variable {bf}slry_elecpolbur{sf} was {bf}{res}str316{sf}{txt} now {bf}{res}str47{sf}
  {txt}variable {bf}slry_apolbur{sf} was {bf}{res}str318{sf}{txt} now {bf}{res}str1{sf}
  {txt}variable {bf}fdout_epol_bgt{sf} was {bf}{res}str373{sf}{txt} now {bf}{res}str19{sf}
  {txt}variable {bf}fdout_apol_bgt{sf} was {bf}{res}str375{sf}{txt} now {bf}{res}str1{sf}
  {txt}variable {bf}budsect_epol{sf} was {bf}{res}str217{sf}{txt} now {bf}{res}str19{sf}
  {txt}variable {bf}budsect_apol{sf} was {bf}{res}str219{sf}{txt} now {bf}{res}str1{sf}
  {txt}variable {bf}acinfexp_epol{sf} was {bf}{res}str216{sf}{txt} now {bf}{res}str19{sf}
  {txt}variable {bf}acinfexp_apol{sf} was {bf}{res}str218{sf}{txt} now {bf}{res}str1{sf}
  {txt}variable {bf}understand_epol{sf} was {bf}{res}str214{sf}{txt} now {bf}{res}str21{sf}
  {txt}variable {bf}understand_apol{sf} was {bf}{res}str216{sf}{txt} now {bf}{res}str21{sf}
  {txt}variable {bf}acttake_epol{sf} was {bf}{res}str247{sf}{txt} now {bf}{res}str163{sf}
  {txt}variable {bf}acttake_epoloth{sf} was {bf}{res}str261{sf}{txt} now {bf}{res}str63{sf}
  {txt}variable {bf}acttake_apol{sf} was {bf}{res}str250{sf}{txt} now {bf}{res}str1{sf}
  {txt}variable {bf}acttake_apoloth{sf} was {bf}{res}str264{sf}{txt} now {bf}{res}str1{sf}
  {txt}variable {bf}likely{sf} was {bf}{res}str159{sf}{txt} now {bf}{res}str18{sf}
  {txt}variable {bf}who_apt_bur{sf} was {bf}{res}str126{sf}{txt} now {bf}{res}str64{sf}
  {txt}variable {bf}who_fir_bur{sf} was {bf}{res}str120{sf}{txt} now {bf}{res}str64{sf}
  {txt}variable {bf}who_fir_buroth{sf} was {bf}{res}str134{sf}{txt} now {bf}{res}str77{sf}
  {txt}variable {bf}ocap_epol{sf} was {bf}{res}str359{sf}{txt} now {bf}{res}str55{sf}
  {txt}variable {bf}ocap_apol{sf} was {bf}{res}str361{sf}{txt} now {bf}{res}str1{sf}
  {txt}variable {bf}prio_epol{sf} was {bf}{res}str209{sf}{txt} now {bf}{res}str73{sf}
  {txt}variable {bf}prio_apol{sf} was {bf}{res}str211{sf}{txt} now {bf}{res}str1{sf}
  {txt}variable {bf}overall_conf{sf} was {bf}{res}str191{sf}{txt} now {bf}{res}str17{sf}
  {txt}variable {bf}avg_educ_buro{sf} was {bf}{res}str117{sf}{txt} now {bf}{res}str101{sf}
  {txt}variable {bf}avg_slry_apol{sf} was {bf}{res}str134{sf}{txt} now {bf}{res}str128{sf}
  {txt}variable {bf}avg_slry_buro{sf} was {bf}{res}str134{sf}{txt} now {bf}{res}str87{sf}
  {txt}variable {bf}confirmation{sf} was {bf}{res}str1148{sf}{txt} now {bf}{res}str63{sf}
{txt}  (462,685 bytes saved)

{com}.         
.         * We edit the label 
.         
.         lab var country "Country"
{txt}
{com}.         lab var full_name  "Full name of recipient"
{txt}
{com}.         lab var recipientemail "Recipient email"
{txt}
{com}.         lab var userlanguage "Language used to answer"
{txt}
{com}.         lab var finished "Completion status"
{txt}
{com}.         lab var progress "Progress"
{txt}
{com}.         lab var duration_minutes "Duration in minutes"
{txt}
{com}.         lab var case_n_unit "Original number of entities"
{txt}
{com}.         lab var unit_num "Unit number"
{txt}
{com}.         
.         * Confirmation
.         
.         fre confirmation
{res}
{txt}confirmation
{txt}{hline 54}{hline 1}{c TT}{hline 44}
{txt}        {txt}                                               {c |}      Freq.    Percent      Valid       Cum.
{txt}{hline 54}{hline 1}{c +}{hline 44}
{txt}Valid   No, this is inaccurate. This level needs to be {c |}{res}          2       3.28       7.14       7.14
{txt}        replaced/deleted                               {c |}{res}                                            
{txt}        No, this level needs to be replaced/deleted    {c |}{res}          2       3.28       7.14      14.29
{txt}        Yes, this is accurate                          {c |}{res}         24      39.34      85.71     100.00
{txt}        Total                                          {c |}{res}         28      45.90     100.00           
{txt}Missing                                                {c |}{res}         33      54.10                      
{txt}Total                                                  {c |}{res}         61     100.00                      
{txt}{hline 54}{hline 1}{c BT}{hline 44}

{com}.         replace confirmation = "1" if confirmation == "Yes, this is accurate"
{txt}(24 real changes made)

{com}.         replace confirmation = "0" if regexm(confirmation,"No")
{txt}(4 real changes made)

{com}.         destring confirmation, replace
{txt}confirmation: all characters numeric; {res}replaced {txt}as {res}byte
{txt}(33 missing values generated)
{res}{txt}
{com}.         
.         lab var confirmation "Confirmation of adequacy of unit"
{txt}
{com}.         lab def confirmation 0 "No, this is not accurate. It should be replaced/deleted" 1 "Yes, this is accurate"
{txt}
{com}.         lab val confirmation confirmation
{txt}
{com}.         
.         fre confirmation
{res}
{txt}confirmation {hline 2} Confirmation of adequacy of unit
{txt}{hline 48}{hline 1}{c TT}{hline 44}
{txt}        {txt}                                         {c |}      Freq.    Percent      Valid       Cum.
{txt}{hline 48}{hline 1}{c +}{hline 44}
{txt}Valid   0 No, this is not accurate. It should be {c |}{res}          4       6.56      14.29      14.29
{txt}          replaced/deleted                       {c |}{res}                                            
{txt}        1 Yes, this is accurate                  {c |}{res}         24      39.34      85.71     100.00
{txt}        Total                                    {c |}{res}         28      45.90     100.00           
{txt}Missing .                                        {c |}{res}         33      54.10                      
{txt}Total                                            {c |}{res}         61     100.00                      
{txt}{hline 48}{hline 1}{c BT}{hline 44}

{com}.         
.         order confirmation, after(unit_num)
{txt}
{com}.         
.         * Creating variable about asked_survey (should be updated)
.         
.         gen asked_survey = 0
{txt}
{com}.         replace asked_survey = 1 if confirmation == 1
{txt}(24 real changes made)

{com}.         lab var asked_survey "Survey question asked to respondent"
{txt}
{com}.         lab def yesno 0 "No" 1 "Yes"
{txt}
{com}.         lab val asked_survey yesno
{txt}
{com}.         order asked_survey, after(confirmation)
{txt}
{com}.         
.         * title_bur
.         
.         lab var title_bur "Title of the highest-level bureaucrat in unit"
{txt}
{com}.         
.         gen test_title_bur = (title_bur != "")
{txt}
{com}.         replace test_title_bur = . if asked_survey == 0
{txt}(37 real changes made, 37 to missing)

{com}.         fre test_title_bur
{res}
{txt}test_title_bur
{txt}{hline 9}{hline 1}{c TT}{hline 44}
{txt}        {txt}  {c |}      Freq.    Percent      Valid       Cum.
{txt}{hline 9}{hline 1}{c +}{hline 44}
{txt}Valid   1 {c |}{res}         24      39.34     100.00     100.00
{txt}Missing . {c |}{res}         37      60.66                      
{txt}Total     {c |}{res}         61     100.00                      
{txt}{hline 9}{hline 1}{c BT}{hline 44}

{com}.         assert inlist(test_title_bur,.,1)
{txt}
{com}.         
.         drop test_title_bur
{txt}
{com}.         
.         * elecpol_ovrsee
.         
.         lab var elecpol_ovrsee "Any politicians in unit overseeing service delivery"
{txt}
{com}.         replace elecpol_ovrsee = "0" if elecpol_ovrsee == "No"
{txt}(2 real changes made)

{com}.         replace elecpol_ovrsee = "1" if elecpol_ovrsee == "Yes"
{txt}(23 real changes made)

{com}.         destring elecpol_ovrsee, replace
{txt}elecpol_ovrsee: all characters numeric; {res}replaced {txt}as {res}byte
{txt}(36 missing values generated)
{res}{txt}
{com}.         lab val elecpol_ovrsee yesno
{txt}
{com}.         
.         fre elecpol_ovrsee
{res}
{txt}elecpol_ovrsee {hline 2} Any politicians in unit overseeing service delivery
{txt}{hline 13}{hline 1}{c TT}{hline 44}
{txt}        {txt}      {c |}      Freq.    Percent      Valid       Cum.
{txt}{hline 13}{hline 1}{c +}{hline 44}
{txt}Valid   0 No  {c |}{res}          2       3.28       8.00       8.00
{txt}        1 Yes {c |}{res}         23      37.70      92.00     100.00
{txt}        Total {c |}{res}         25      40.98     100.00           
{txt}Missing .     {c |}{res}         36      59.02                      
{txt}Total         {c |}{res}         61     100.00                      
{txt}{hline 13}{hline 1}{c BT}{hline 44}

{com}.         
.         gen test_elecpol_ovrsee = (elecpol_ovrsee != .)
{txt}
{com}.         replace test_elecpol_ovrsee = . if asked_survey == 0
{txt}(37 real changes made, 37 to missing)

{com}.         fre test_elecpol_ovrsee
{res}
{txt}test_elecpol_ovrsee
{txt}{hline 9}{hline 1}{c TT}{hline 44}
{txt}        {txt}  {c |}      Freq.    Percent      Valid       Cum.
{txt}{hline 9}{hline 1}{c +}{hline 44}
{txt}Valid   1 {c |}{res}         24      39.34     100.00     100.00
{txt}Missing . {c |}{res}         37      60.66                      
{txt}Total     {c |}{res}         61     100.00                      
{txt}{hline 9}{hline 1}{c BT}{hline 44}

{com}.         assert inlist(test_elecpol_ovrsee,.,1)
{txt}
{com}.         
.         drop test_elecpol_ovrsee
{txt}
{com}.         
.         * title_elecpol
.         
.         lab var title_elecpol "Title of the highest-level elected politician in unit"
{txt}
{com}.         
.         gen test_title_elecpol = (title_elecpol != "")
{txt}
{com}.         replace test_title_elecpol = . if asked_survey == 0
{txt}(37 real changes made, 37 to missing)

{com}.         replace test_title_elecpol = . if elecpol_ovrsee == 0
{txt}(1 real change made, 1 to missing)

{com}.         fre test_title_elecpol
{res}
{txt}test_title_elecpol
{txt}{hline 9}{hline 1}{c TT}{hline 44}
{txt}        {txt}  {c |}      Freq.    Percent      Valid       Cum.
{txt}{hline 9}{hline 1}{c +}{hline 44}
{txt}Valid   1 {c |}{res}         23      37.70     100.00     100.00
{txt}Missing . {c |}{res}         38      62.30                      
{txt}Total     {c |}{res}         61     100.00                      
{txt}{hline 9}{hline 1}{c BT}{hline 44}

{com}.         assert inlist(test_title_elecpol,.,1)
{txt}
{com}.         
.         drop test_title_elecpol
{txt}
{com}.         
.         * aptpol_d
.         
.         fre aptpol_d
{res}
{txt}aptpol_d
{txt}{hline 38}{hline 1}{c TT}{hline 44}
{txt}        {txt}                               {c |}      Freq.    Percent      Valid       Cum.
{txt}{hline 38}{hline 1}{c +}{hline 44}
{txt}Valid   Do not know / Refuse to answer {c |}{res}          1       1.64       4.00       4.00
{txt}        No                             {c |}{res}         15      24.59      60.00      64.00
{txt}        Yes                            {c |}{res}          9      14.75      36.00     100.00
{txt}        Total                          {c |}{res}         25      40.98     100.00           
{txt}Missing                                {c |}{res}         36      59.02                      
{txt}Total                                  {c |}{res}         61     100.00                      
{txt}{hline 38}{hline 1}{c BT}{hline 44}

{com}.         
.         lab var aptpol_d "Politician appointed by higher politician in unit"
{txt}
{com}.         replace aptpol_d = "0" if aptpol_d == "No"
{txt}(15 real changes made)

{com}.         replace aptpol_d = "1" if aptpol_d == "Yes"
{txt}(9 real changes made)

{com}.         replace aptpol_d = "-98" if aptpol_d == "Do not know / Refuse to answer"
{txt}(1 real change made)

{com}.         destring aptpol_d, replace
{txt}aptpol_d: all characters numeric; {res}replaced {txt}as {res}byte
{txt}(36 missing values generated)
{res}{txt}
{com}.         lab val aptpol_d yesno
{txt}
{com}.         
.         fre aptpol_d
{res}
{txt}aptpol_d {hline 2} Politician appointed by higher politician in unit
{txt}{hline 15}{hline 1}{c TT}{hline 44}
{txt}        {txt}        {c |}      Freq.    Percent      Valid       Cum.
{txt}{hline 15}{hline 1}{c +}{hline 44}
{txt}Valid   -98     {c |}{res}          1       1.64       4.00       4.00
{txt}        0   No  {c |}{res}         15      24.59      60.00      64.00
{txt}        1   Yes {c |}{res}          9      14.75      36.00     100.00
{txt}        Total   {c |}{res}         25      40.98     100.00           
{txt}Missing .       {c |}{res}         36      59.02                      
{txt}Total           {c |}{res}         61     100.00                      
{txt}{hline 15}{hline 1}{c BT}{hline 44}

{com}.         
.         gen test_aptpol_d = (aptpol_d != .)
{txt}
{com}.         replace test_aptpol_d = . if asked_survey == 0
{txt}(37 real changes made, 37 to missing)

{com}.         fre test_aptpol_d
{res}
{txt}test_aptpol_d
{txt}{hline 9}{hline 1}{c TT}{hline 44}
{txt}        {txt}  {c |}      Freq.    Percent      Valid       Cum.
{txt}{hline 9}{hline 1}{c +}{hline 44}
{txt}Valid   1 {c |}{res}         24      39.34     100.00     100.00
{txt}Missing . {c |}{res}         37      60.66                      
{txt}Total     {c |}{res}         61     100.00                      
{txt}{hline 9}{hline 1}{c BT}{hline 44}

{com}.         assert inlist(test_aptpol_d,.,1)
{txt}
{com}.         
.         drop test_aptpol_d
{txt}
{com}.         
.         * pol_exist_d
.         
.         gen pol_exist_d = 0
{txt}
{com}.         replace pol_exist_d = 1 if aptpol_d == 1 | elecpol_ovrsee == 1
{txt}(23 real changes made)

{com}.         replace pol_exist_d = . if asked_survey == 0
{txt}(37 real changes made, 37 to missing)

{com}.         lab val pol_exist_d yesno
{txt}
{com}.         lab var pol_exist_d "1 if we have either an appointed or elected politician"
{txt}
{com}.         
.         fre pol_exist_d
{res}
{txt}pol_exist_d {hline 2} 1 if we have either an appointed or elected politician
{txt}{hline 13}{hline 1}{c TT}{hline 44}
{txt}        {txt}      {c |}      Freq.    Percent      Valid       Cum.
{txt}{hline 13}{hline 1}{c +}{hline 44}
{txt}Valid   0 No  {c |}{res}          1       1.64       4.17       4.17
{txt}        1 Yes {c |}{res}         23      37.70      95.83     100.00
{txt}        Total {c |}{res}         24      39.34     100.00           
{txt}Missing .     {c |}{res}         37      60.66                      
{txt}Total         {c |}{res}         61     100.00                      
{txt}{hline 13}{hline 1}{c BT}{hline 44}

{com}.         order pol_exist_d, after(aptpol_d)
{txt}
{com}.         
.         * title_aptpol
.         
.         lab var title_aptpol "Title of the highest-level appointed politician in unit"
{txt}
{com}.         
.         gen test_title_aptpol = (title_aptpol != "")
{txt}
{com}.         replace test_title_aptpol = . if asked_survey == 0 
{txt}(37 real changes made, 37 to missing)

{com}.         replace test_title_aptpol = . if aptpol_d == 0 | aptpol_d == -98
{txt}(15 real changes made, 15 to missing)

{com}.         fre test_title_aptpol
{res}
{txt}test_title_aptpol
{txt}{hline 9}{hline 1}{c TT}{hline 44}
{txt}        {txt}  {c |}      Freq.    Percent      Valid       Cum.
{txt}{hline 9}{hline 1}{c +}{hline 44}
{txt}Valid   1 {c |}{res}          9      14.75     100.00     100.00
{txt}Missing . {c |}{res}         52      85.25                      
{txt}Total     {c |}{res}         61     100.00                      
{txt}{hline 9}{hline 1}{c BT}{hline 44}

{com}.         assert inlist(test_title_aptpol,.,1)
{txt}
{com}.         
.         drop test_title_aptpol
{txt}
{com}.         
.         * who_aptpol
.         
.         lab var who_aptpol "Who appoints the highest-level appointed politician in unit"
{txt}
{com}.         
.         gen test_who_aptpol = (who_aptpol != "")
{txt}
{com}.         replace test_who_aptpol = . if asked_survey == 0 
{txt}(37 real changes made, 37 to missing)

{com}.         replace test_who_aptpol = . if aptpol_d == 0 | aptpol_d == -98
{txt}(15 real changes made, 15 to missing)

{com}.         fre test_who_aptpol
{res}
{txt}test_who_aptpol
{txt}{hline 9}{hline 1}{c TT}{hline 44}
{txt}        {txt}  {c |}      Freq.    Percent      Valid       Cum.
{txt}{hline 9}{hline 1}{c +}{hline 44}
{txt}Valid   1 {c |}{res}          9      14.75     100.00     100.00
{txt}Missing . {c |}{res}         52      85.25                      
{txt}Total     {c |}{res}         61     100.00                      
{txt}{hline 9}{hline 1}{c BT}{hline 44}

{com}.         assert inlist(test_who_aptpol,.,1)
{txt}
{com}.         
.         drop test_who_aptpol
{txt}
{com}.         
.         * mostinf_servdel
.         
.         lab var mostinf_servdel "More influential in determining quality of service"
{txt}
{com}.         
.         replace mostinf_servdel = "1" if regexm(mostinf_servdel,"Elected much more")
{txt}(5 real changes made)

{com}.         replace mostinf_servdel = "2" if regexm(mostinf_servdel,"Elected slightly more")
{txt}(0 real changes made)

{com}.         replace mostinf_servdel = "3" if regexm(mostinf_servdel,"About the same")
{txt}(1 real change made)

{com}.         replace mostinf_servdel = "4" if regexm(mostinf_servdel,"Appointed slightly more")
{txt}(0 real changes made)

{com}.         replace mostinf_servdel = "5" if regexm(mostinf_servdel,"Appointed much more")
{txt}(3 real changes made)

{com}.         destring mostinf_servdel, replace
{txt}mostinf_servdel: all characters numeric; {res}replaced {txt}as {res}byte
{txt}(52 missing values generated)
{res}{txt}
{com}.         lab def mostinf_servdel 1 "Elected much more influential" 2 "Elected slightly more influential" 3 "About the same" 4 "Appointed slightly more influential" 5 "Appointed much more influential"
{txt}
{com}.         lab val mostinf_servdel mostinf_servdel
{txt}
{com}.         
.         fre mostinf_servdel
{res}
{txt}mostinf_servdel {hline 2} More influential in determining quality of service
{txt}{hline 41}{hline 1}{c TT}{hline 44}
{txt}        {txt}                                  {c |}      Freq.    Percent      Valid       Cum.
{txt}{hline 41}{hline 1}{c +}{hline 44}
{txt}Valid   1 Elected much more influential   {c |}{res}          5       8.20      55.56      55.56
{txt}        3 About the same                  {c |}{res}          1       1.64      11.11      66.67
{txt}        5 Appointed much more influential {c |}{res}          3       4.92      33.33     100.00
{txt}        Total                             {c |}{res}          9      14.75     100.00           
{txt}Missing .                                 {c |}{res}         52      85.25                      
{txt}Total                                     {c |}{res}         61     100.00                      
{txt}{hline 41}{hline 1}{c BT}{hline 44}

{com}.         
.         gen test_mostinf_servdel = (mostinf_servdel != .)
{txt}
{com}.         replace test_mostinf_servdel = . if asked_survey == 0 
{txt}(37 real changes made, 37 to missing)

{com}.         replace test_mostinf_servdel = . if (inlist(aptpol_d,0,-98) | elecpol_ovrsee == 0)
{txt}(15 real changes made, 15 to missing)

{com}.         fre test_mostinf_servdel
{res}
{txt}test_mostinf_servdel
{txt}{hline 9}{hline 1}{c TT}{hline 44}
{txt}        {txt}  {c |}      Freq.    Percent      Valid       Cum.
{txt}{hline 9}{hline 1}{c +}{hline 44}
{txt}Valid   1 {c |}{res}          9      14.75     100.00     100.00
{txt}Missing . {c |}{res}         52      85.25                      
{txt}Total     {c |}{res}         61     100.00                      
{txt}{hline 9}{hline 1}{c BT}{hline 44}

{com}.         assert inlist(test_mostinf_servdel,.,1)
{txt}
{com}.         
.         drop test_mostinf_servdel
{txt}
{com}.         
.         * educ_elecpolbur
.         
.         lab var educ_elecpolbur "More educated bureaucrat or politician (elec. politician)"
{txt}
{com}.         
.         fre educ_elecpolbur
{res}
{txt}educ_elecpolbur {hline 2} More educated bureaucrat or politician (elec. politician)
{txt}{hline 55}{hline 1}{c TT}{hline 44}
{txt}        {txt}                                                {c |}      Freq.    Percent      Valid       Cum.
{txt}{hline 55}{hline 1}{c +}{hline 44}
{txt}Valid   About the same level of education               {c |}{res}          4       6.56      17.39      17.39
{txt}        Bureaucrats much more educated than Politicians {c |}{res}         13      21.31      56.52      73.91
{txt}        Bureaucrats slightly more educated than         {c |}{res}          6       9.84      26.09     100.00
{txt}        Politicians                                     {c |}{res}                                            
{txt}        Total                                           {c |}{res}         23      37.70     100.00           
{txt}Missing                                                 {c |}{res}         38      62.30                      
{txt}Total                                                   {c |}{res}         61     100.00                      
{txt}{hline 55}{hline 1}{c BT}{hline 44}

{com}.         
.         replace educ_elecpolbur = "1" if regexm(educ_elecpolbur,"Bureaucrats much more educated")
{txt}(13 real changes made)

{com}.         replace educ_elecpolbur = "2" if regexm(educ_elecpolbur,"Bureaucrats slightly more educated")
{txt}(6 real changes made)

{com}.         replace educ_elecpolbur = "3" if regexm(educ_elecpolbur,"About the same")
{txt}(4 real changes made)

{com}.         replace educ_elecpolbur = "4" if regexm(educ_elecpolbur,"Politicians slightly more educated")
{txt}(0 real changes made)

{com}.         replace educ_elecpolbur = "5" if regexm(educ_elecpolbur,"Politicians much more educated")
{txt}(0 real changes made)

{com}.         destring educ_elecpolbur, replace
{txt}educ_elecpolbur: all characters numeric; {res}replaced {txt}as {res}byte
{txt}(38 missing values generated)
{res}{txt}
{com}.         lab def educ_elecpolbur 1 "Bureaucrats much more educated" 2 "Bureaucrats slightly more educated" 3 "About the same" 4 "Politicians slightly more educated" 5 "Politicians much more educated"
{txt}
{com}.         lab val educ_elecpolbur educ_elecpolbur
{txt}
{com}.         
.         fre educ_elecpolbur
{res}
{txt}educ_elecpolbur {hline 2} More educated bureaucrat or politician (elec. politician)
{txt}{hline 44}{hline 1}{c TT}{hline 44}
{txt}        {txt}                                     {c |}      Freq.    Percent      Valid       Cum.
{txt}{hline 44}{hline 1}{c +}{hline 44}
{txt}Valid   1 Bureaucrats much more educated     {c |}{res}         13      21.31      56.52      56.52
{txt}        2 Bureaucrats slightly more educated {c |}{res}          6       9.84      26.09      82.61
{txt}        3 About the same                     {c |}{res}          4       6.56      17.39     100.00
{txt}        Total                                {c |}{res}         23      37.70     100.00           
{txt}Missing .                                    {c |}{res}         38      62.30                      
{txt}Total                                        {c |}{res}         61     100.00                      
{txt}{hline 44}{hline 1}{c BT}{hline 44}

{com}.         
.         gen test_educ_elecpolbur = (educ_elecpolbur != .)
{txt}
{com}.         replace test_educ_elecpolbur = . if asked_survey == 0 
{txt}(37 real changes made, 37 to missing)

{com}.         replace test_educ_elecpolbur = . if elecpol_ovrsee == 0
{txt}(1 real change made, 1 to missing)

{com}.         fre test_educ_elecpolbur
{res}
{txt}test_educ_elecpolbur
{txt}{hline 9}{hline 1}{c TT}{hline 44}
{txt}        {txt}  {c |}      Freq.    Percent      Valid       Cum.
{txt}{hline 9}{hline 1}{c +}{hline 44}
{txt}Valid   1 {c |}{res}         23      37.70     100.00     100.00
{txt}Missing . {c |}{res}         38      62.30                      
{txt}Total     {c |}{res}         61     100.00                      
{txt}{hline 9}{hline 1}{c BT}{hline 44}

{com}.         assert inlist(test_educ_elecpolbur,.,1)
{txt}
{com}.         
.         drop test_educ_elecpolbur
{txt}
{com}.         
.         * educ_apolbur
.         
.         lab var educ_apolbur "More educated bureaucrat or politician (app. politician) "
{txt}
{com}.         
.         fre educ_apolbur
{res}
{txt}educ_apolbur {hline 2} More educated bureaucrat or politician (app. politician) 
{txt}{hline 8}{hline 1}{c TT}{hline 44}
{txt}        {txt} {c |}      Freq.    Percent      Valid       Cum.
{txt}{hline 8}{hline 1}{c +}{hline 44}
{txt}Missing  {c |}{res}         61     100.00                      
{txt}{hline 8}{hline 1}{c BT}{hline 44}

{com}.         
.         replace educ_apolbur = "1" if regexm(educ_apolbur,"Bureaucrats much more educated")
{txt}(0 real changes made)

{com}.         replace educ_apolbur = "2" if regexm(educ_apolbur,"Bureaucrats slightly more educated")
{txt}(0 real changes made)

{com}.         replace educ_apolbur = "3" if regexm(educ_apolbur,"About the same")
{txt}(0 real changes made)

{com}.         replace educ_apolbur = "4" if regexm(educ_apolbur,"Politicians slightly more educated")
{txt}(0 real changes made)

{com}.         replace educ_apolbur = "5" if regexm(educ_apolbur,"Politicians much more educated")
{txt}(0 real changes made)

{com}.         destring educ_apolbur, replace
{txt}educ_apolbur: all characters numeric; {res}replaced {txt}as {res}byte
{txt}(61 missing values generated)
{res}{txt}
{com}.         lab def educ_apolbur 1 "Bureaucrats much more educated" 2 "Bureaucrats slightly more educated" 3 "About the same" 4 "Politicians slightly more educated" 5 "Politicians much more educated"
{txt}
{com}.         lab val educ_apolbur educ_apolbur
{txt}
{com}.         
.         fre educ_apolbur
{res}
{txt}educ_apolbur {hline 2} More educated bureaucrat or politician (app. politician) 
{txt}{hline 13}{hline 1}{c TT}{hline 44}
{txt}        {txt}      {c |}      Freq.    Percent      Valid       Cum.
{txt}{hline 13}{hline 1}{c +}{hline 44}
{txt}Missing .     {c |}{res}         61     100.00                      
{txt}{hline 13}{hline 1}{c BT}{hline 44}

{com}.         
.         gen test_educ_apolbur = (educ_apolbur != .)
{txt}
{com}.         replace test_educ_apolbur = . if asked_survey == 0
{txt}(37 real changes made, 37 to missing)

{com}.         replace test_educ_apolbur = . if aptpol_d == 0
{txt}(14 real changes made, 14 to missing)

{com}.         replace test_educ_apolbur = . if elecpol_ovrsee == 1 
{txt}(10 real changes made, 10 to missing)

{com}.         fre test_educ_apolbur
{res}
{txt}test_educ_apolbur
{txt}{hline 9}{hline 1}{c TT}{hline 44}
{txt}        {txt}  {c |}      Freq.    Percent      Valid       Cum.
{txt}{hline 9}{hline 1}{c +}{hline 44}
{txt}Missing . {c |}{res}         61     100.00                      
{txt}{hline 9}{hline 1}{c BT}{hline 44}

{com}.         assert inlist(test_educ_apolbur,.,1)
{txt}
{com}.         
.         drop test_educ_apolbur
{txt}
{com}.         
.         * slry_elecpolbur
.         
.         lab var slry_elecpolbur "Earning more bureaucrat or politician (elec. politician)"
{txt}
{com}.         
.         fre slry_elecpolbur
{res}
{txt}slry_elecpolbur {hline 2} Earning more bureaucrat or politician (elec. politician)
{txt}{hline 55}{hline 1}{c TT}{hline 44}
{txt}        {txt}                                                {c |}      Freq.    Percent      Valid       Cum.
{txt}{hline 55}{hline 1}{c +}{hline 44}
{txt}Valid   Both earn about the same                        {c |}{res}          4       6.56      17.39      17.39
{txt}        Bureaucrats earn much more than Politicians     {c |}{res}          5       8.20      21.74      39.13
{txt}        Bureaucrats earn slightly more than Politicians {c |}{res}          3       4.92      13.04      52.17
{txt}        Politicians earn much more than Bureaucrats     {c |}{res}          6       9.84      26.09      78.26
{txt}        Politicians earn slightly more than Bureaucrats {c |}{res}          5       8.20      21.74     100.00
{txt}        Total                                           {c |}{res}         23      37.70     100.00           
{txt}Missing                                                 {c |}{res}         38      62.30                      
{txt}Total                                                   {c |}{res}         61     100.00                      
{txt}{hline 55}{hline 1}{c BT}{hline 44}

{com}.         
.         replace slry_elecpolbur = "1" if regexm(slry_elecpolbur,"Bureaucrats earn much")
{txt}(5 real changes made)

{com}.         replace slry_elecpolbur = "2" if regexm(slry_elecpolbur,"Bureaucrats earn slightly")
{txt}(3 real changes made)

{com}.         replace slry_elecpolbur = "3" if regexm(slry_elecpolbur,"Both earn")
{txt}(4 real changes made)

{com}.         replace slry_elecpolbur = "4" if regexm(slry_elecpolbur,"Politicians earn slightly")
{txt}(5 real changes made)

{com}.         replace slry_elecpolbur = "5" if regexm(slry_elecpolbur,"Politicians earn much")
{txt}(6 real changes made)

{com}.         destring slry_elecpolbur, replace
{txt}slry_elecpolbur: all characters numeric; {res}replaced {txt}as {res}byte
{txt}(38 missing values generated)
{res}{txt}
{com}.         lab def slry_elecpolbur 1 "Bureaucrats earn much more" 2 "Bureaucrats earn slightly more" 3 "Both earn the same" 4 "Politicians earn slightly" 5 "Politicians earn much more"
{txt}
{com}.         lab val slry_elecpolbur slry_elecpolbur
{txt}
{com}.         
.         fre slry_elecpolbur
{res}
{txt}slry_elecpolbur {hline 2} Earning more bureaucrat or politician (elec. politician)
{txt}{hline 40}{hline 1}{c TT}{hline 44}
{txt}        {txt}                                 {c |}      Freq.    Percent      Valid       Cum.
{txt}{hline 40}{hline 1}{c +}{hline 44}
{txt}Valid   1 Bureaucrats earn much more     {c |}{res}          5       8.20      21.74      21.74
{txt}        2 Bureaucrats earn slightly more {c |}{res}          3       4.92      13.04      34.78
{txt}        3 Both earn the same             {c |}{res}          4       6.56      17.39      52.17
{txt}        4 Politicians earn slightly      {c |}{res}          5       8.20      21.74      73.91
{txt}        5 Politicians earn much more     {c |}{res}          6       9.84      26.09     100.00
{txt}        Total                            {c |}{res}         23      37.70     100.00           
{txt}Missing .                                {c |}{res}         38      62.30                      
{txt}Total                                    {c |}{res}         61     100.00                      
{txt}{hline 40}{hline 1}{c BT}{hline 44}

{com}.         
.         gen test_slry_elecpolbur = (slry_elecpolbur != .)
{txt}
{com}.         replace test_slry_elecpolbur = . if asked_survey == 0 
{txt}(37 real changes made, 37 to missing)

{com}.         replace test_slry_elecpolbur = . if elecpol_ovrsee == 0
{txt}(1 real change made, 1 to missing)

{com}.         fre test_slry_elecpolbur
{res}
{txt}test_slry_elecpolbur
{txt}{hline 9}{hline 1}{c TT}{hline 44}
{txt}        {txt}  {c |}      Freq.    Percent      Valid       Cum.
{txt}{hline 9}{hline 1}{c +}{hline 44}
{txt}Valid   1 {c |}{res}         23      37.70     100.00     100.00
{txt}Missing . {c |}{res}         38      62.30                      
{txt}Total     {c |}{res}         61     100.00                      
{txt}{hline 9}{hline 1}{c BT}{hline 44}

{com}.         assert inlist(test_slry_elecpolbur,.,1)
{txt}
{com}.         
.         drop test_slry_elecpolbur
{txt}
{com}.         
.         * slry_apolbur
.         
.         lab var slry_apolbur "Earning more bureaucrat or politician (app. politician)"
{txt}
{com}.         
.         fre slry_apolbur
{res}
{txt}slry_apolbur {hline 2} Earning more bureaucrat or politician (app. politician)
{txt}{hline 8}{hline 1}{c TT}{hline 44}
{txt}        {txt} {c |}      Freq.    Percent      Valid       Cum.
{txt}{hline 8}{hline 1}{c +}{hline 44}
{txt}Missing  {c |}{res}         61     100.00                      
{txt}{hline 8}{hline 1}{c BT}{hline 44}

{com}.         
.         replace slry_apolbur = "1" if regexm(slry_apolbur,"Bureaucrats earn much")
{txt}(0 real changes made)

{com}.         replace slry_apolbur = "2" if regexm(slry_apolbur,"Bureaucrats earn slightly")
{txt}(0 real changes made)

{com}.         replace slry_apolbur = "3" if regexm(slry_apolbur,"Both earn")
{txt}(0 real changes made)

{com}.         replace slry_apolbur = "4" if regexm(slry_apolbur,"Politicians earn slightly")
{txt}(0 real changes made)

{com}.         replace slry_apolbur = "5" if regexm(slry_apolbur,"Politicians earn much")
{txt}(0 real changes made)

{com}.         destring slry_apolbur, replace
{txt}slry_apolbur: all characters numeric; {res}replaced {txt}as {res}byte
{txt}(61 missing values generated)
{res}{txt}
{com}.         lab def slry_apolbur 1 "Bureaucrats earn much more" 2 "Bureaucrats earn slightly more" 3 "Both earn the same" 4 "Politicians earn slightly" 5 "Politicians earn much more"
{txt}
{com}.         lab val slry_apolbur slry_apolbur
{txt}
{com}.         
.         fre slry_apolbur
{res}
{txt}slry_apolbur {hline 2} Earning more bureaucrat or politician (app. politician)
{txt}{hline 13}{hline 1}{c TT}{hline 44}
{txt}        {txt}      {c |}      Freq.    Percent      Valid       Cum.
{txt}{hline 13}{hline 1}{c +}{hline 44}
{txt}Missing .     {c |}{res}         61     100.00                      
{txt}{hline 13}{hline 1}{c BT}{hline 44}

{com}.         
.         gen test_slry_apolbur = (slry_apolbur != .)
{txt}
{com}.         replace test_slry_apolbur = . if asked_survey == 0
{txt}(37 real changes made, 37 to missing)

{com}.         replace test_slry_apolbur = . if aptpol_d == 0
{txt}(14 real changes made, 14 to missing)

{com}.         replace test_slry_apolbur = . if elecpol_ovrsee == 1 
{txt}(10 real changes made, 10 to missing)

{com}.         fre test_slry_apolbur
{res}
{txt}test_slry_apolbur
{txt}{hline 9}{hline 1}{c TT}{hline 44}
{txt}        {txt}  {c |}      Freq.    Percent      Valid       Cum.
{txt}{hline 9}{hline 1}{c +}{hline 44}
{txt}Missing . {c |}{res}         61     100.00                      
{txt}{hline 9}{hline 1}{c BT}{hline 44}

{com}.         assert inlist(test_slry_apolbur,.,1)
{txt}
{com}.         
.         drop test_slry_apolbur
{txt}
{com}.         
.         * We merge the payment module
.         
.         merge m:1 responseid using "`payment_module'"
{res}
{txt}{col 5}Result{col 38}# of obs.
{col 5}{hline 41}
{col 5}not matched{col 30}{res}               0
{txt}{col 5}matched{col 30}{res}              61{txt}  (_merge==3)
{col 5}{hline 41}

{com}.         drop _merge
{txt}
{com}.         order donate_d org_donation_id paid_status, after(duration_minutes)
{txt}
{com}.         
.         * fdout_epol_bgt
.         
.         lab var fdout_epol_bgt "Easy to find out about envelop (elec. politician)"
{txt}
{com}.         
.         fre fdout_epol_bgt
{res}
{txt}fdout_epol_bgt {hline 2} Easy to find out about envelop (elec. politician)
{txt}{hline 26}{hline 1}{c TT}{hline 44}
{txt}        {txt}                   {c |}      Freq.    Percent      Valid       Cum.
{txt}{hline 26}{hline 1}{c +}{hline 44}
{txt}Valid   Somewhat difficult {c |}{res}          3       4.92      13.04      13.04
{txt}        Somewhat easy      {c |}{res}          6       9.84      26.09      39.13
{txt}        Very easy          {c |}{res}         14      22.95      60.87     100.00
{txt}        Total              {c |}{res}         23      37.70     100.00           
{txt}Missing                    {c |}{res}         38      62.30                      
{txt}Total                      {c |}{res}         61     100.00                      
{txt}{hline 26}{hline 1}{c BT}{hline 44}

{com}.         
.         replace fdout_epol_bgt = "1" if regexm(fdout_epol_bgt,"Very easy")
{txt}(14 real changes made)

{com}.         replace fdout_epol_bgt = "2" if regexm(fdout_epol_bgt,"Somewhat easy")
{txt}(6 real changes made)

{com}.         replace fdout_epol_bgt = "3" if regexm(fdout_epol_bgt,"Somewhat difficult")
{txt}(3 real changes made)

{com}.         replace fdout_epol_bgt = "4" if regexm(fdout_epol_bgt,"Very difficult")
{txt}(0 real changes made)

{com}.         replace fdout_epol_bgt = "5" if regexm(fdout_epol_bgt,"Not applicable")
{txt}(0 real changes made)

{com}.         replace fdout_epol_bgt = "6" if regexm(fdout_epol_bgt,"Do not know")
{txt}(0 real changes made)

{com}.         
.         destring fdout_epol_bgt, replace
{txt}fdout_epol_bgt: all characters numeric; {res}replaced {txt}as {res}byte
{txt}(38 missing values generated)
{res}{txt}
{com}.         lab def fdout_epol_bgt 1 "Very easy" 2 "Somewhat easy" 3 "Somewhat difficult" 4 "Very difficult" 5 "Not applicable, this level of government has no spending power" 6 "Do not know / Refuse to answer"
{txt}
{com}.         lab val fdout_epol_bgt fdout_epol_bgt
{txt}
{com}.         
.         fre fdout_epol_bgt
{res}
{txt}fdout_epol_bgt {hline 2} Easy to find out about envelop (elec. politician)
{txt}{hline 28}{hline 1}{c TT}{hline 44}
{txt}        {txt}                     {c |}      Freq.    Percent      Valid       Cum.
{txt}{hline 28}{hline 1}{c +}{hline 44}
{txt}Valid   1 Very easy          {c |}{res}         14      22.95      60.87      60.87
{txt}        2 Somewhat easy      {c |}{res}          6       9.84      26.09      86.96
{txt}        3 Somewhat difficult {c |}{res}          3       4.92      13.04     100.00
{txt}        Total                {c |}{res}         23      37.70     100.00           
{txt}Missing .                    {c |}{res}         38      62.30                      
{txt}Total                        {c |}{res}         61     100.00                      
{txt}{hline 28}{hline 1}{c BT}{hline 44}

{com}.         
.         gen test_fdout_epol_bgt = (fdout_epol_bgt != .)
{txt}
{com}.         replace test_fdout_epol_bgt = . if asked_survey == 0 
{txt}(37 real changes made, 37 to missing)

{com}.         replace test_fdout_epol_bgt = . if elecpol_ovrsee == 0
{txt}(1 real change made, 1 to missing)

{com}.         fre test_fdout_epol_bgt
{res}
{txt}test_fdout_epol_bgt
{txt}{hline 9}{hline 1}{c TT}{hline 44}
{txt}        {txt}  {c |}      Freq.    Percent      Valid       Cum.
{txt}{hline 9}{hline 1}{c +}{hline 44}
{txt}Valid   1 {c |}{res}         23      37.70     100.00     100.00
{txt}Missing . {c |}{res}         38      62.30                      
{txt}Total     {c |}{res}         61     100.00                      
{txt}{hline 9}{hline 1}{c BT}{hline 44}

{com}.         assert inlist(test_fdout_epol_bgt,.,1)
{txt}
{com}.         
.         drop test_fdout_epol_bgt
{txt}
{com}.         
.         * fdout_apol_bgt
.         
.         lab var fdout_apol_bgt "Easy to find out about envelop (app. politician)"
{txt}
{com}.         
.         fre fdout_apol_bgt
{res}
{txt}fdout_apol_bgt {hline 2} Easy to find out about envelop (app. politician)
{txt}{hline 8}{hline 1}{c TT}{hline 44}
{txt}        {txt} {c |}      Freq.    Percent      Valid       Cum.
{txt}{hline 8}{hline 1}{c +}{hline 44}
{txt}Missing  {c |}{res}         61     100.00                      
{txt}{hline 8}{hline 1}{c BT}{hline 44}

{com}.         
.         replace fdout_apol_bgt = "1" if regexm(fdout_apol_bgt,"Very easy")
{txt}(0 real changes made)

{com}.         replace fdout_apol_bgt = "2" if regexm(fdout_apol_bgt,"Somewhat easy")
{txt}(0 real changes made)

{com}.         replace fdout_apol_bgt = "3" if regexm(fdout_apol_bgt,"Somewhat difficult")
{txt}(0 real changes made)

{com}.         replace fdout_apol_bgt = "4" if regexm(fdout_apol_bgt,"Very difficult")
{txt}(0 real changes made)

{com}.         replace fdout_apol_bgt = "5" if regexm(fdout_apol_bgt,"Not applicable")
{txt}(0 real changes made)

{com}.         replace fdout_apol_bgt = "6" if regexm(fdout_apol_bgt,"Do not know")
{txt}(0 real changes made)

{com}.         
.         destring fdout_apol_bgt, replace
{txt}fdout_apol_bgt: all characters numeric; {res}replaced {txt}as {res}byte
{txt}(61 missing values generated)
{res}{txt}
{com}.         lab def fdout_apol_bgt 1 "Very easy" 2 "Somewhat easy" 3 "Somewhat difficult" 4 "Very difficult" 5 "Not applicable, this level of government has no spending power" 6 "Do not know / Refuse to answer"
{txt}
{com}.         lab val fdout_apol_bgt fdout_apol_bgt
{txt}
{com}.         
.         fre fdout_apol_bgt
{res}
{txt}fdout_apol_bgt {hline 2} Easy to find out about envelop (app. politician)
{txt}{hline 13}{hline 1}{c TT}{hline 44}
{txt}        {txt}      {c |}      Freq.    Percent      Valid       Cum.
{txt}{hline 13}{hline 1}{c +}{hline 44}
{txt}Missing .     {c |}{res}         61     100.00                      
{txt}{hline 13}{hline 1}{c BT}{hline 44}

{com}.         
.         gen test_fdout_apol_bgt = (fdout_apol_bgt != .)
{txt}
{com}.         replace test_fdout_apol_bgt = . if asked_survey == 0
{txt}(37 real changes made, 37 to missing)

{com}.         replace test_fdout_apol_bgt = . if aptpol_d == 0
{txt}(14 real changes made, 14 to missing)

{com}.         replace test_fdout_apol_bgt = . if elecpol_ovrsee == 1 
{txt}(10 real changes made, 10 to missing)

{com}.         fre test_fdout_apol_bgt
{res}
{txt}test_fdout_apol_bgt
{txt}{hline 9}{hline 1}{c TT}{hline 44}
{txt}        {txt}  {c |}      Freq.    Percent      Valid       Cum.
{txt}{hline 9}{hline 1}{c +}{hline 44}
{txt}Missing . {c |}{res}         61     100.00                      
{txt}{hline 9}{hline 1}{c BT}{hline 44}

{com}.         assert inlist(test_fdout_apol_bgt,.,1)
{txt}
{com}.         
.         drop test_fdout_apol_bgt
{txt}
{com}.         
.         * budsect_epol
.         
.         lab var budsect_epol "Find about budget allocation to sectors (elec. politician)"
{txt}
{com}.         
.         fre budsect_epol
{res}
{txt}budsect_epol {hline 2} Find about budget allocation to sectors (elec. politician)
{txt}{hline 26}{hline 1}{c TT}{hline 44}
{txt}        {txt}                   {c |}      Freq.    Percent      Valid       Cum.
{txt}{hline 26}{hline 1}{c +}{hline 44}
{txt}Valid   Somewhat difficult {c |}{res}          2       3.28       8.70       8.70
{txt}        Somewhat easy      {c |}{res}          4       6.56      17.39      26.09
{txt}        Very difficult     {c |}{res}          1       1.64       4.35      30.43
{txt}        Very easy          {c |}{res}          9      14.75      39.13      69.57
{txt}        Somewhat easy      {c |}{res}          1       1.64       4.35      73.91
{txt}        Very easy          {c |}{res}          6       9.84      26.09     100.00
{txt}        Total              {c |}{res}         23      37.70     100.00           
{txt}Missing                    {c |}{res}         38      62.30                      
{txt}Total                      {c |}{res}         61     100.00                      
{txt}{hline 26}{hline 1}{c BT}{hline 44}

{com}.         
.         replace budsect_epol = "1" if regexm(budsect_epol,"Very easy")
{txt}(15 real changes made)

{com}.         replace budsect_epol = "2" if regexm(budsect_epol,"Somewhat easy")
{txt}(5 real changes made)

{com}.         replace budsect_epol = "3" if regexm(budsect_epol,"Somewhat difficult")
{txt}(2 real changes made)

{com}.         replace budsect_epol = "4" if regexm(budsect_epol,"Very difficult")
{txt}(1 real change made)

{com}.         replace budsect_epol = "5" if regexm(budsect_epol,"Not applicable")
{txt}(0 real changes made)

{com}.         replace budsect_epol = "6" if regexm(budsect_epol,"Do not know")
{txt}(0 real changes made)

{com}.         
.         destring budsect_epol, replace
{txt}budsect_epol: all characters numeric; {res}replaced {txt}as {res}byte
{txt}(38 missing values generated)
{res}{txt}
{com}.         lab def budsect_epol 1 "Very easy" 2 "Somewhat easy" 3 "Somewhat difficult" 4 "Very difficult" 5 "Not applicable, this level of government has no spending power" 6 "Do not know / Refuse to answer"
{txt}
{com}.         lab val budsect_epol budsect_epol
{txt}
{com}.         
.         fre budsect_epol
{res}
{txt}budsect_epol {hline 2} Find about budget allocation to sectors (elec. politician)
{txt}{hline 28}{hline 1}{c TT}{hline 44}
{txt}        {txt}                     {c |}      Freq.    Percent      Valid       Cum.
{txt}{hline 28}{hline 1}{c +}{hline 44}
{txt}Valid   1 Very easy          {c |}{res}         15      24.59      65.22      65.22
{txt}        2 Somewhat easy      {c |}{res}          5       8.20      21.74      86.96
{txt}        3 Somewhat difficult {c |}{res}          2       3.28       8.70      95.65
{txt}        4 Very difficult     {c |}{res}          1       1.64       4.35     100.00
{txt}        Total                {c |}{res}         23      37.70     100.00           
{txt}Missing .                    {c |}{res}         38      62.30                      
{txt}Total                        {c |}{res}         61     100.00                      
{txt}{hline 28}{hline 1}{c BT}{hline 44}

{com}.         
.         gen test_budsect_epol = (budsect_epol != .)
{txt}
{com}.         replace test_budsect_epol = . if asked_survey == 0 
{txt}(37 real changes made, 37 to missing)

{com}.         replace test_budsect_epol = . if elecpol_ovrsee == 0
{txt}(1 real change made, 1 to missing)

{com}.         fre test_budsect_epol
{res}
{txt}test_budsect_epol
{txt}{hline 9}{hline 1}{c TT}{hline 44}
{txt}        {txt}  {c |}      Freq.    Percent      Valid       Cum.
{txt}{hline 9}{hline 1}{c +}{hline 44}
{txt}Valid   1 {c |}{res}         23      37.70     100.00     100.00
{txt}Missing . {c |}{res}         38      62.30                      
{txt}Total     {c |}{res}         61     100.00                      
{txt}{hline 9}{hline 1}{c BT}{hline 44}

{com}.         assert inlist(test_budsect_epol,.,1)
{txt}
{com}.         
.         drop test_budsect_epol
{txt}
{com}.         
.         * budsect_apol
.         
.         lab var budsect_apol "Find about budget allocation to sectors (app. politician)"
{txt}
{com}.         
.         fre budsect_apol
{res}
{txt}budsect_apol {hline 2} Find about budget allocation to sectors (app. politician)
{txt}{hline 8}{hline 1}{c TT}{hline 44}
{txt}        {txt} {c |}      Freq.    Percent      Valid       Cum.
{txt}{hline 8}{hline 1}{c +}{hline 44}
{txt}Missing  {c |}{res}         61     100.00                      
{txt}{hline 8}{hline 1}{c BT}{hline 44}

{com}.         
.         replace budsect_apol = "1" if regexm(budsect_apol,"Very easy")
{txt}(0 real changes made)

{com}.         replace budsect_apol = "2" if regexm(budsect_apol,"Somewhat easy")
{txt}(0 real changes made)

{com}.         replace budsect_apol = "3" if regexm(budsect_apol,"Somewhat difficult")
{txt}(0 real changes made)

{com}.         replace budsect_apol = "4" if regexm(budsect_apol,"Very difficult")
{txt}(0 real changes made)

{com}.         replace budsect_apol = "5" if regexm(budsect_apol,"Not applicable")
{txt}(0 real changes made)

{com}.         replace budsect_apol = "6" if regexm(budsect_apol,"Do not know")
{txt}(0 real changes made)

{com}.         
.         destring budsect_apol, replace
{txt}budsect_apol: all characters numeric; {res}replaced {txt}as {res}byte
{txt}(61 missing values generated)
{res}{txt}
{com}.         lab def budsect_apol 1 "Very easy" 2 "Somewhat easy" 3 "Somewhat difficult" 4 "Very difficult" 5 "Not applicable, this level of government has no spending power" 6 "Do not know / Refuse to answer"
{txt}
{com}.         lab val budsect_apol budsect_apol
{txt}
{com}.         
.         fre budsect_apol
{res}
{txt}budsect_apol {hline 2} Find about budget allocation to sectors (app. politician)
{txt}{hline 13}{hline 1}{c TT}{hline 44}
{txt}        {txt}      {c |}      Freq.    Percent      Valid       Cum.
{txt}{hline 13}{hline 1}{c +}{hline 44}
{txt}Missing .     {c |}{res}         61     100.00                      
{txt}{hline 13}{hline 1}{c BT}{hline 44}

{com}.         
.         gen test_budsect_apol = (budsect_apol != .)
{txt}
{com}.         replace test_budsect_apol = . if asked_survey == 0
{txt}(37 real changes made, 37 to missing)

{com}.         replace test_budsect_apol = . if aptpol_d == 0
{txt}(14 real changes made, 14 to missing)

{com}.         replace test_budsect_apol = . if elecpol_ovrsee == 1 
{txt}(10 real changes made, 10 to missing)

{com}.         fre test_budsect_apol
{res}
{txt}test_budsect_apol
{txt}{hline 9}{hline 1}{c TT}{hline 44}
{txt}        {txt}  {c |}      Freq.    Percent      Valid       Cum.
{txt}{hline 9}{hline 1}{c +}{hline 44}
{txt}Missing . {c |}{res}         61     100.00                      
{txt}{hline 9}{hline 1}{c BT}{hline 44}

{com}.         assert inlist(test_budsect_apol,.,1)
{txt}
{com}.         
.         drop test_budsect_apol
{txt}
{com}.         
.         * acinfexp_epol
.         
.         lab var acinfexp_epol "Obtain detailed info about expenditures (elec. politician)"
{txt}
{com}.         
.         fre acinfexp_epol
{res}
{txt}acinfexp_epol {hline 2} Obtain detailed info about expenditures (elec. politician)
{txt}{hline 26}{hline 1}{c TT}{hline 44}
{txt}        {txt}                   {c |}      Freq.    Percent      Valid       Cum.
{txt}{hline 26}{hline 1}{c +}{hline 44}
{txt}Valid   Somewhat difficult {c |}{res}          5       8.20      21.74      21.74
{txt}        Somewhat easy      {c |}{res}          3       4.92      13.04      34.78
{txt}        Very difficult     {c |}{res}          1       1.64       4.35      39.13
{txt}        Very easy          {c |}{res}         14      22.95      60.87     100.00
{txt}        Total              {c |}{res}         23      37.70     100.00           
{txt}Missing                    {c |}{res}         38      62.30                      
{txt}Total                      {c |}{res}         61     100.00                      
{txt}{hline 26}{hline 1}{c BT}{hline 44}

{com}.         
.         replace acinfexp_epol = "1" if regexm(acinfexp_epol,"Very easy")
{txt}(14 real changes made)

{com}.         replace acinfexp_epol = "2" if regexm(acinfexp_epol,"Somewhat easy")
{txt}(3 real changes made)

{com}.         replace acinfexp_epol = "3" if regexm(acinfexp_epol,"Somewhat difficult")
{txt}(5 real changes made)

{com}.         replace acinfexp_epol = "4" if regexm(acinfexp_epol,"Very difficult")
{txt}(1 real change made)

{com}.         replace acinfexp_epol = "5" if regexm(acinfexp_epol,"Not applicable")
{txt}(0 real changes made)

{com}.         replace acinfexp_epol = "6" if regexm(acinfexp_epol,"Do not know")
{txt}(0 real changes made)

{com}.         
.         destring acinfexp_epol, replace
{txt}acinfexp_epol: all characters numeric; {res}replaced {txt}as {res}byte
{txt}(38 missing values generated)
{res}{txt}
{com}.         lab def acinfexp_epol 1 "Very easy" 2 "Somewhat easy" 3 "Somewhat difficult" 4 "Very difficult" 5 "Not applicable, this level of government has no spending power" 6 "Do not know / Refuse to answer"
{txt}
{com}.         lab val acinfexp_epol acinfexp_epol
{txt}
{com}.         
.         fre acinfexp_epol
{res}
{txt}acinfexp_epol {hline 2} Obtain detailed info about expenditures (elec. politician)
{txt}{hline 28}{hline 1}{c TT}{hline 44}
{txt}        {txt}                     {c |}      Freq.    Percent      Valid       Cum.
{txt}{hline 28}{hline 1}{c +}{hline 44}
{txt}Valid   1 Very easy          {c |}{res}         14      22.95      60.87      60.87
{txt}        2 Somewhat easy      {c |}{res}          3       4.92      13.04      73.91
{txt}        3 Somewhat difficult {c |}{res}          5       8.20      21.74      95.65
{txt}        4 Very difficult     {c |}{res}          1       1.64       4.35     100.00
{txt}        Total                {c |}{res}         23      37.70     100.00           
{txt}Missing .                    {c |}{res}         38      62.30                      
{txt}Total                        {c |}{res}         61     100.00                      
{txt}{hline 28}{hline 1}{c BT}{hline 44}

{com}.         
.         gen test_acinfexp_epol = (acinfexp_epol != .)
{txt}
{com}.         replace test_acinfexp_epol = . if asked_survey == 0 
{txt}(37 real changes made, 37 to missing)

{com}.         replace test_acinfexp_epol = . if elecpol_ovrsee == 0
{txt}(1 real change made, 1 to missing)

{com}.         fre test_acinfexp_epol
{res}
{txt}test_acinfexp_epol
{txt}{hline 9}{hline 1}{c TT}{hline 44}
{txt}        {txt}  {c |}      Freq.    Percent      Valid       Cum.
{txt}{hline 9}{hline 1}{c +}{hline 44}
{txt}Valid   1 {c |}{res}         23      37.70     100.00     100.00
{txt}Missing . {c |}{res}         38      62.30                      
{txt}Total     {c |}{res}         61     100.00                      
{txt}{hline 9}{hline 1}{c BT}{hline 44}

{com}.         assert inlist(test_acinfexp_epol,.,1)
{txt}
{com}.         
.         drop test_acinfexp_epol
{txt}
{com}.         
.         * acinfexp_apol
.         
.         lab var acinfexp_apol "Obtain detailed info about expenditures (app. politician)"
{txt}
{com}.         
.         fre acinfexp_apol
{res}
{txt}acinfexp_apol {hline 2} Obtain detailed info about expenditures (app. politician)
{txt}{hline 8}{hline 1}{c TT}{hline 44}
{txt}        {txt} {c |}      Freq.    Percent      Valid       Cum.
{txt}{hline 8}{hline 1}{c +}{hline 44}
{txt}Missing  {c |}{res}         61     100.00                      
{txt}{hline 8}{hline 1}{c BT}{hline 44}

{com}.         
.         replace acinfexp_apol = "1" if regexm(acinfexp_apol,"Very easy")
{txt}(0 real changes made)

{com}.         replace acinfexp_apol = "2" if regexm(acinfexp_apol,"Somewhat easy")
{txt}(0 real changes made)

{com}.         replace acinfexp_apol = "3" if regexm(acinfexp_apol,"Somewhat difficult")
{txt}(0 real changes made)

{com}.         replace acinfexp_apol = "4" if regexm(acinfexp_apol,"Very difficult")
{txt}(0 real changes made)

{com}.         replace acinfexp_apol = "5" if regexm(acinfexp_apol,"Not applicable")
{txt}(0 real changes made)

{com}.         replace acinfexp_apol = "6" if regexm(acinfexp_apol,"Do not know")
{txt}(0 real changes made)

{com}.         
.         destring acinfexp_apol, replace
{txt}acinfexp_apol: all characters numeric; {res}replaced {txt}as {res}byte
{txt}(61 missing values generated)
{res}{txt}
{com}.         lab def acinfexp_apol 1 "Very easy" 2 "Somewhat easy" 3 "Somewhat difficult" 4 "Very difficult" 5 "Not applicable, this level of government has no spending power" 6 "Do not know / Refuse to answer"
{txt}
{com}.         lab val acinfexp_apol acinfexp_apol
{txt}
{com}.         
.         fre acinfexp_apol
{res}
{txt}acinfexp_apol {hline 2} Obtain detailed info about expenditures (app. politician)
{txt}{hline 13}{hline 1}{c TT}{hline 44}
{txt}        {txt}      {c |}      Freq.    Percent      Valid       Cum.
{txt}{hline 13}{hline 1}{c +}{hline 44}
{txt}Missing .     {c |}{res}         61     100.00                      
{txt}{hline 13}{hline 1}{c BT}{hline 44}

{com}.         
.         gen test_acinfexp_apol = (acinfexp_apol != .)
{txt}
{com}.         replace test_acinfexp_apol = . if asked_survey == 0
{txt}(37 real changes made, 37 to missing)

{com}.         replace test_acinfexp_apol = . if aptpol_d == 0
{txt}(14 real changes made, 14 to missing)

{com}.         replace test_acinfexp_apol = . if elecpol_ovrsee == 1 
{txt}(10 real changes made, 10 to missing)

{com}.         fre test_acinfexp_apol
{res}
{txt}test_acinfexp_apol
{txt}{hline 9}{hline 1}{c TT}{hline 44}
{txt}        {txt}  {c |}      Freq.    Percent      Valid       Cum.
{txt}{hline 9}{hline 1}{c +}{hline 44}
{txt}Missing . {c |}{res}         61     100.00                      
{txt}{hline 9}{hline 1}{c BT}{hline 44}

{com}.         assert inlist(test_acinfexp_apol,.,1)
{txt}
{com}.         
.         drop test_acinfexp_apol
{txt}
{com}.         
.         * understand_epol
.         
.         lab var understand_epol "Has capacity to read/understand budget (elec. politician)"
{txt}
{com}.         
.         fre understand_epol
{res}
{txt}understand_epol {hline 2} Has capacity to read/understand budget (elec. politician)
{txt}{hline 28}{hline 1}{c TT}{hline 44}
{txt}        {txt}                     {c |}      Freq.    Percent      Valid       Cum.
{txt}{hline 28}{hline 1}{c +}{hline 44}
{txt}Valid   Definitely capable   {c |}{res}          1       1.64       5.26       5.26
{txt}        Only with difficulty {c |}{res}          2       3.28      10.53      15.79
{txt}        Somewhat capable     {c |}{res}          9      14.75      47.37      63.16
{txt}        Definitely capable   {c |}{res}          2       3.28      10.53      73.68
{txt}        Only with difficulty {c |}{res}          1       1.64       5.26      78.95
{txt}        Somewhat capable     {c |}{res}          4       6.56      21.05     100.00
{txt}        Total                {c |}{res}         19      31.15     100.00           
{txt}Missing                      {c |}{res}         42      68.85                      
{txt}Total                        {c |}{res}         61     100.00                      
{txt}{hline 28}{hline 1}{c BT}{hline 44}

{com}.         
.         replace understand_epol = "1" if regexm(understand_epol,"Definitely capable")
{txt}(3 real changes made)

{com}.         replace understand_epol = "2" if regexm(understand_epol,"Somewhat capable")
{txt}(13 real changes made)

{com}.         replace understand_epol = "3" if regexm(understand_epol,"Only with difficulty")
{txt}(3 real changes made)

{com}.         replace understand_epol = "4" if regexm(understand_epol,"Not capable")
{txt}(0 real changes made)

{com}.         replace understand_epol = "5" if regexm(understand_epol,"Do not know")
{txt}(0 real changes made)

{com}.         
.         fre understand_epol
{res}
{txt}understand_epol {hline 2} Has capacity to read/understand budget (elec. politician)
{txt}{hline 13}{hline 1}{c TT}{hline 44}
{txt}        {txt}      {c |}      Freq.    Percent      Valid       Cum.
{txt}{hline 13}{hline 1}{c +}{hline 44}
{txt}Valid   1     {c |}{res}          3       4.92      15.79      15.79
{txt}        2     {c |}{res}         13      21.31      68.42      84.21
{txt}        3     {c |}{res}          3       4.92      15.79     100.00
{txt}        Total {c |}{res}         19      31.15     100.00           
{txt}Missing       {c |}{res}         42      68.85                      
{txt}Total         {c |}{res}         61     100.00                      
{txt}{hline 13}{hline 1}{c BT}{hline 44}

{com}.         
.         destring understand_epol, replace
{txt}understand_epol: all characters numeric; {res}replaced {txt}as {res}byte
{txt}(42 missing values generated)
{res}{txt}
{com}.         lab def understand_epol 1 "Definitely capable" 2 "Somewhat capable" 3 "Only with difficulty" 4 "Not capable" 5 "Do not know / Refuse to answer"
{txt}
{com}.         lab val understand_epol understand_epol
{txt}
{com}.         
.         fre understand_epol
{res}
{txt}understand_epol {hline 2} Has capacity to read/understand budget (elec. politician)
{txt}{hline 30}{hline 1}{c TT}{hline 44}
{txt}        {txt}                       {c |}      Freq.    Percent      Valid       Cum.
{txt}{hline 30}{hline 1}{c +}{hline 44}
{txt}Valid   1 Definitely capable   {c |}{res}          3       4.92      15.79      15.79
{txt}        2 Somewhat capable     {c |}{res}         13      21.31      68.42      84.21
{txt}        3 Only with difficulty {c |}{res}          3       4.92      15.79     100.00
{txt}        Total                  {c |}{res}         19      31.15     100.00           
{txt}Missing .                      {c |}{res}         42      68.85                      
{txt}Total                          {c |}{res}         61     100.00                      
{txt}{hline 30}{hline 1}{c BT}{hline 44}

{com}.         
.         gen test_understand_epol = (understand_epol != .)
{txt}
{com}.         replace test_understand_epol = . if asked_survey == 0 
{txt}(37 real changes made, 37 to missing)

{com}.         replace test_understand_epol = . if elecpol_ovrsee == 0
{txt}(1 real change made, 1 to missing)

{com}.         fre test_understand_epol
{res}
{txt}test_understand_epol
{txt}{hline 13}{hline 1}{c TT}{hline 44}
{txt}        {txt}      {c |}      Freq.    Percent      Valid       Cum.
{txt}{hline 13}{hline 1}{c +}{hline 44}
{txt}Valid   0     {c |}{res}          4       6.56      17.39      17.39
{txt}        1     {c |}{res}         19      31.15      82.61     100.00
{txt}        Total {c |}{res}         23      37.70     100.00           
{txt}Missing .     {c |}{res}         38      62.30                      
{txt}Total         {c |}{res}         61     100.00                      
{txt}{hline 13}{hline 1}{c BT}{hline 44}

{com}.         *assert inlist(test_understand_epol,.,1)
.         
.         *drop test_understand_epol
.         
.         * understand_apol
.         
.         lab var understand_apol "Has capacity to read/understand budget (app. politician)"
{txt}
{com}.         
.         fre understand_apol
{res}
{txt}understand_apol {hline 2} Has capacity to read/understand budget (app. politician)
{txt}{hline 28}{hline 1}{c TT}{hline 44}
{txt}        {txt}                     {c |}      Freq.    Percent      Valid       Cum.
{txt}{hline 28}{hline 1}{c +}{hline 44}
{txt}Valid   Definitely capable   {c |}{res}          1       1.64      50.00      50.00
{txt}        Only with difficulty {c |}{res}          1       1.64      50.00     100.00
{txt}        Total                {c |}{res}          2       3.28     100.00           
{txt}Missing                      {c |}{res}         59      96.72                      
{txt}Total                        {c |}{res}         61     100.00                      
{txt}{hline 28}{hline 1}{c BT}{hline 44}

{com}.         
.         replace understand_apol = "1" if regexm(understand_apol,"Definitely capable")
{txt}(1 real change made)

{com}.         replace understand_apol = "2" if regexm(understand_apol,"Somewhat capable")
{txt}(0 real changes made)

{com}.         replace understand_apol = "3" if regexm(understand_apol,"Only with difficulty")
{txt}(1 real change made)

{com}.         replace understand_apol = "4" if regexm(understand_apol,"Not capable")
{txt}(0 real changes made)

{com}.         replace understand_apol = "5" if regexm(understand_apol,"Do not know")
{txt}(0 real changes made)

{com}.         
.         destring understand_apol, replace
{txt}understand_apol: all characters numeric; {res}replaced {txt}as {res}byte
{txt}(59 missing values generated)
{res}{txt}
{com}.         lab def understand_apol 1 "Definitely capable" 2 "Somewhat capable" 3 "Only with difficulty" 4 "Not capable" 5 "Do not know / Refuse to answer"
{txt}
{com}.         lab val understand_apol understand_apol
{txt}
{com}.         
.         fre understand_apol
{res}
{txt}understand_apol {hline 2} Has capacity to read/understand budget (app. politician)
{txt}{hline 30}{hline 1}{c TT}{hline 44}
{txt}        {txt}                       {c |}      Freq.    Percent      Valid       Cum.
{txt}{hline 30}{hline 1}{c +}{hline 44}
{txt}Valid   1 Definitely capable   {c |}{res}          1       1.64      50.00      50.00
{txt}        3 Only with difficulty {c |}{res}          1       1.64      50.00     100.00
{txt}        Total                  {c |}{res}          2       3.28     100.00           
{txt}Missing .                      {c |}{res}         59      96.72                      
{txt}Total                          {c |}{res}         61     100.00                      
{txt}{hline 30}{hline 1}{c BT}{hline 44}

{com}.         
.         gen test_understand_apol = (understand_apol != .)
{txt}
{com}.         replace test_understand_apol = . if asked_survey == 0
{txt}(37 real changes made, 37 to missing)

{com}.         replace test_understand_apol = . if aptpol_d == 0
{txt}(14 real changes made, 14 to missing)

{com}.         replace test_understand_apol = . if elecpol_ovrsee == 1 
{txt}(10 real changes made, 10 to missing)

{com}.         fre test_understand_apol
{res}
{txt}test_understand_apol
{txt}{hline 9}{hline 1}{c TT}{hline 44}
{txt}        {txt}  {c |}      Freq.    Percent      Valid       Cum.
{txt}{hline 9}{hline 1}{c +}{hline 44}
{txt}Missing . {c |}{res}         61     100.00                      
{txt}{hline 9}{hline 1}{c BT}{hline 44}

{com}.         assert inlist(test_understand_apol,.,1)
{txt}
{com}.         
.         drop test_understand_apol
{txt}
{com}.         
.         * acttake_epol
.         
.         lab var acttake_epol "Elec. pol not satisfied with head bureaucrat, which action"
{txt}
{com}.         fre acttake_epol
{res}
{txt}acttake_epol {hline 2} Elec. pol not satisfied with head bureaucrat, which action
{txt}{hline 58}{hline 1}{c TT}{hline 44}
{txt}        {txt}                                                   {c |}      Freq.    Percent      Valid       Cum.
{txt}{hline 58}{hline 1}{c +}{hline 44}
{txt}Valid   Complain to the ministry / higher-up bureaucrats   {c |}{res}          2       3.28       8.70       8.70
{txt}        Complain to the ministry / higher-up               {c |}{res}          1       1.64       4.35      13.04
{txt}        bureaucrats,Complain to higher-level politicians   {c |}{res}                                            
{txt}        Issue a formal warning                             {c |}{res}          1       1.64       4.35      17.39
{txt}        Issue a formal warning,Complain to the ministry /  {c |}{res}          2       3.28       8.70      26.09
{txt}        higher-up bureaucrats,Complain to higher-level     {c |}{res}                                            
{txt}        politicians                                        {c |}{res}                                            
{txt}        Other (please specify)                             {c |}{res}          2       3.28       8.70      34.78
{txt}        Request a transfer with high probability of        {c |}{res}          2       3.28       8.70      43.48
{txt}        success                                            {c |}{res}                                            
{txt}        Request a transfer with high probability of        {c |}{res}          1       1.64       4.35      47.83
{txt}        success,Issue a formal warning,Complain to the     {c |}{res}                                            
{txt}        ministry / higher-up bureaucrats                   {c |}{res}                                            
{txt}        Request a transfer with low probability of success {c |}{res}          1       1.64       4.35      52.17
{txt}        Request a transfer with low probability of         {c |}{res}          1       1.64       4.35      56.52
{txt}        success,Complain to the ministry / higher-up       {c |}{res}                                            
{txt}        bureaucrats,Bring the issue to the attention of    {c |}{res}                                            
{txt}        the media,Mobilize citizens                        {c |}{res}                                            
{txt}        Request a transfer with medium probability of      {c |}{res}          2       3.28       8.70      65.22
{txt}        success                                            {c |}{res}                                            
{txt}        Request a transfer with medium probability of      {c |}{res}          1       1.64       4.35      69.57
{txt}        success,Issue a formal warning,Complain to the     {c |}{res}                                            
{txt}        ministry / higher-up bureaucrats,Complain to       {c |}{res}                                            
{txt}        higher-level politicians                           {c |}{res}                                            
{txt}        Terminate contract/fire bureaucrat                 {c |}{res}          1       1.64       4.35      73.91
{txt}        Terminate contract/fire bureaucrat,Transfer the    {c |}{res}          3       4.92      13.04      86.96
{txt}        bureaucrat,Issue a formal warning,Bring the issue  {c |}{res}                                            
{txt}        to the attention of the media                      {c |}{res}                                            
{txt}        Transfer the bureaucrat                            {c |}{res}          1       1.64       4.35      91.30
{txt}        Transfer the bureaucrat,Other (please specify)     {c |}{res}          2       3.28       8.70     100.00
{txt}        Total                                              {c |}{res}         23      37.70     100.00           
{txt}Missing                                                    {c |}{res}         38      62.30                      
{txt}Total                                                      {c |}{res}         61     100.00                      
{txt}{hline 58}{hline 1}{c BT}{hline 44}

{com}.         
.         replace acttake_epol = subinstr(acttake_epol,","," ",.)
{txt}(11 real changes made)

{com}.         replace acttake_epol = subinstr(acttake_epol,"Terminate contract/fire bureaucrat","1",.)
{txt}(4 real changes made)

{com}.         replace acttake_epol = subinstr(acttake_epol,"Transfer the bureaucrat","2",.)
{txt}(6 real changes made)

{com}.         replace acttake_epol = subinstr(acttake_epol,"Request a transfer with high probability of success","3",.)
{txt}(3 real changes made)

{com}.         replace acttake_epol = subinstr(acttake_epol,"Request a transfer with medium probability of success","4",.)
{txt}(3 real changes made)

{com}.         replace acttake_epol = subinstr(acttake_epol,"Request a transfer with low probability of success","5",.)
{txt}(2 real changes made)

{com}.         replace acttake_epol = subinstr(acttake_epol,"Issue a formal warning","6",.)
{txt}(8 real changes made)

{com}.         replace acttake_epol = subinstr(acttake_epol,"Complain to the ministry / higher-up bureaucrats","7",.)
{txt}(8 real changes made)

{com}.         replace acttake_epol = subinstr(acttake_epol,"Complain to higher-level politicians","8",.)
{txt}(4 real changes made)

{com}.         replace acttake_epol = subinstr(acttake_epol,"Bring the issue to the attention of the media","9",.)
{txt}(4 real changes made)

{com}.         replace acttake_epol = subinstr(acttake_epol,"Mobilize citizens","10",.)
{txt}(1 real change made)

{com}.         replace acttake_epol = subinstr(acttake_epol,"Other (please specify)","11",.)
{txt}(4 real changes made)

{com}.         replace acttake_epol = subinstr(acttake_epol,"None","12",.)
{txt}(0 real changes made)

{com}.         replace acttake_epol = subinstr(acttake_epol,"Do not know / Refuse to answer","13",.)
{txt}(0 real changes made)

{com}.         
.         
.         fre acttake_epol
{res}
{txt}acttake_epol {hline 2} Elec. pol not satisfied with head bureaucrat, which action
{txt}{hline 16}{hline 1}{c TT}{hline 44}
{txt}        {txt}         {c |}      Freq.    Percent      Valid       Cum.
{txt}{hline 16}{hline 1}{c +}{hline 44}
{txt}Valid   1        {c |}{res}          1       1.64       4.35       4.35
{txt}        1 2 6 9  {c |}{res}          3       4.92      13.04      17.39
{txt}        11       {c |}{res}          2       3.28       8.70      26.09
{txt}        2        {c |}{res}          1       1.64       4.35      30.43
{txt}        2 11     {c |}{res}          2       3.28       8.70      39.13
{txt}        3        {c |}{res}          2       3.28       8.70      47.83
{txt}        3 6 7    {c |}{res}          1       1.64       4.35      52.17
{txt}        4        {c |}{res}          2       3.28       8.70      60.87
{txt}        4 6 7 8  {c |}{res}          1       1.64       4.35      65.22
{txt}        5        {c |}{res}          1       1.64       4.35      69.57
{txt}        5 7 9 10 {c |}{res}          1       1.64       4.35      73.91
{txt}        6        {c |}{res}          1       1.64       4.35      78.26
{txt}        6 7 8    {c |}{res}          2       3.28       8.70      86.96
{txt}        7        {c |}{res}          2       3.28       8.70      95.65
{txt}        7 8      {c |}{res}          1       1.64       4.35     100.00
{txt}        Total    {c |}{res}         23      37.70     100.00           
{txt}Missing          {c |}{res}         38      62.30                      
{txt}Total            {c |}{res}         61     100.00                      
{txt}{hline 16}{hline 1}{c BT}{hline 44}

{com}.         
.         e

{txt}end of do-file


{com}. do "/var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//SD44938.000000"
{txt}
{com}. 
.         * Purpose: Importing data to run HFC
.         
.         * Setting up globals
.         
.         if "`c(username)'" == "fredericcochinard" {c -(}
.                 
.                 global import_folder "/Users/fredericcochinard/Dropbox/Expert survey/Data/0.survey_dataset/0.import"
.                 global output "/Users/fredericcochinard/Dropbox/Expert survey/Data/0.survey_dataset/1.output"
.                 
.                 {c )-}
{txt}
{com}.                 
.         if "`c(username)'" == "" {c -(}
.         
.                 
.                 {c )-}
{txt}
{com}.         
.         * Looking for renaming folder with problem
.         
.         local myfiles: dir "$import_folder" files "*.xlsx"
{txt}
{com}. 
.         foreach file of local myfiles {c -(}
{txt}  2{com}.                 
.                 local subfile = substr("`file'", 1, .)
{txt}  3{com}.                 local subfile : subinstr local subfile " " "_", all
{txt}  4{com}.                 ! mv "${c -(}import_folder{c )-}/`file'" "${c -(}import_folder{c )-}/`subfile'"
{txt}  5{com}.                 
.                 {c )-}
{txt}

{com}.         
.         * Looking for dataset
.         
.         filelist , dir("$import_folder") pat("*.xlsx")
{res}{txt}Number of files found = {res}1
{txt}
{com}.         
.         gen url = filename
{txt}
{com}.         
.         levelsof url
{txt}`"Expert_survey_February_18,_2025_16.23.xlsx"'

{com}. 
.         local lvlfiles `r(levels)'
{txt}
{com}.         
.         local z = 0
{txt}
{com}.         
.         foreach lvl of local lvlfiles {c -(}
{txt}  2{com}.         
.                 local z = `z' + 1
{txt}  3{com}.                 
.                 local temp : subinstr local lvl `"""' "", all
{txt}  4{com}.                 local url : subinstr local temp "'" "", all
{txt}  5{com}.         
.                 import excel "${c -(}import_folder{c )-}/`url'", first case(lower) clear
{txt}  6{com}.                 
.                 gen num = _n
{txt}  7{com}.                 drop if num == 1
{txt}  8{com}.                 
.                 * Preparing the append
.                 
.                 tempfile data`z'
{txt}  9{com}.                 sa "`data`z''"
{txt} 10{com}.                 
.                 {c )-}
{res}{txt}(1 observation deleted)
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.000001 saved

{com}.                 
.         * We append the dataset to start cleaning
.         
.         use "`data1'", clear
{txt}
{com}.         
.         forvalues x = 2/`z' {c -(}
{txt}  2{com}.         
.                 append using "`data`x''"
{txt}  3{com}.                 
.                 {c )-}
{txt}
{com}.                 
.         duplicates drop

{p 0 4}{txt}Duplicates in terms of {txt} all variables{p_end}

(0 observations are duplicates)

{com}.         
.         * We keep relevant variable
.         drop if recipientemail == "frederic.cochinard@gmail.com"
{txt}(8 observations deleted)

{com}.         drop if recipientemail == "vedpant+spanish@college.harvard.edu"
{txt}(1 observation deleted)

{com}.         drop if recipientemail == "frederic.cochinard+3@gmail.com"
{txt}(1 observation deleted)

{com}.         drop if recipientemail == "frederic.cochinard+1@gmail.com"
{txt}(1 observation deleted)

{com}.         
.         * We remove observation that are not finished
.         drop if finished == "False"
{txt}(9 observations deleted)

{com}.         
.         * We create a save
.         
.         tempfile save_data
{txt}
{com}.         sa "`save_data'"
{txt}file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.000002 saved

{com}.         
.         ******************
.         * Payment module *
.         ******************
.         
.         preserve
{txt}
{com}.         
.         keep responseid method_pay_bank_in_q-q977
{txt}
{com}.         compress
  {txt}variable {bf}method_pay_bank_in_q{sf} was {bf}{res}str237{sf}{txt} now {bf}{res}str24{sf}
  {txt}variable {bf}expert_donation_org{sf} was {bf}{res}str129{sf}{txt} now {bf}{res}str23{sf}
  {txt}variable {bf}q967{sf} was {bf}{res}str236{sf}{txt} now {bf}{res}str65{sf}
  {txt}variable {bf}q978{sf} was {bf}{res}str326{sf}{txt} now {bf}{res}str16{sf}
  {txt}variable {bf}q979{sf} was {bf}{res}str104{sf}{txt} now {bf}{res}str39{sf}
  {txt}variable {bf}q980{sf} was {bf}{res}str95{sf}{txt} now {bf}{res}str11{sf}
  {txt}variable {bf}q987{sf} was {bf}{res}str170{sf}{txt} now {bf}{res}str24{sf}
  {txt}variable {bf}q984{sf} was {bf}{res}str326{sf}{txt} now {bf}{res}str1{sf}
  {txt}variable {bf}q985{sf} was {bf}{res}str104{sf}{txt} now {bf}{res}str1{sf}
  {txt}variable {bf}q986{sf} was {bf}{res}str95{sf}{txt} now {bf}{res}str1{sf}
  {txt}variable {bf}q988{sf} was {bf}{res}str170{sf}{txt} now {bf}{res}str1{sf}
  {txt}variable {bf}q989{sf} was {bf}{res}str559{sf}{txt} now {bf}{res}str1{sf}
  {txt}variable {bf}q990{sf} was {bf}{res}str102{sf}{txt} now {bf}{res}str1{sf}
  {txt}variable {bf}q991{sf} was {bf}{res}str93{sf}{txt} now {bf}{res}str1{sf}
  {txt}variable {bf}q992{sf} was {bf}{res}str170{sf}{txt} now {bf}{res}str1{sf}
  {txt}variable {bf}q998{sf} was {bf}{res}str537{sf}{txt} now {bf}{res}str1{sf}
  {txt}variable {bf}q997{sf} was {bf}{res}str105{sf}{txt} now {bf}{res}str1{sf}
  {txt}variable {bf}q999{sf} was {bf}{res}str104{sf}{txt} now {bf}{res}str1{sf}
  {txt}variable {bf}q1000{sf} was {bf}{res}str95{sf}{txt} now {bf}{res}str1{sf}
  {txt}variable {bf}q1001{sf} was {bf}{res}str170{sf}{txt} now {bf}{res}str1{sf}
  {txt}variable {bf}q977{sf} was {bf}{res}str502{sf}{txt} now {bf}{res}str23{sf}
{txt}  (46,101 bytes saved)

{com}.         
.         * Donate_d
.         
.         gen donate_d = 0
{txt}
{com}.         replace donate_d = 1 if method_pay_bank_in_q == "I prefer to donate"
{txt}(3 real changes made)

{com}.         
.         * Special case
.         replace donate_d = 1 if responseid == "R_4ouc7tR6BFj3gpb" // respondent is refusing to take money in comments
{txt}(1 real change made)

{com}.         replace donate_d = 1 if responseid == "R_4Iow7YzsoT2KTOx" // respondent is writing cancel in comments
{txt}(1 real change made)

{com}.         
.         lab var donate_d "Respondent decided to donate"
{txt}
{com}.         lab def donate_d 0 "No" 1 "Yes"
{txt}
{com}.         lab val donate_d donate_d
{txt}
{com}.         order donate_d, after(responseid)
{txt}
{com}.         
.         * Org
.         
.         gen org_donation_id = "" 
{txt}(11 missing values generated)

{com}.         replace org_donation_id = expert_donation_org if donate_d == 1
{txt}variable {bf}org_donation_id{sf} was {bf}{res}str1{sf}{txt} now {bf}{res}str23{sf}
{txt}(3 real changes made)

{com}.         replace org_donation_id = "No choice" if donate_d == 1 & org_donation_id == ""
{txt}(2 real changes made)

{com}.         lab var org_donation_id "Name of the organization the respondent chose to donate"
{txt}
{com}.         order org_donation_id, after(donate_d)
{txt}
{com}.         
.         * Paid status
.         
.         gen paid_status = 0
{txt}
{com}.         replace paid_status = 2 if donate_d == 1
{txt}(5 real changes made)

{com}.         
.         * Case of payment
.         
.         lab var paid_status "Status of payment of the respondent"
{txt}
{com}.         lab def paid_status 0 "Not yet" 1 "Yes" 2 "Donation"
{txt}
{com}.         lab val paid_status paid_status
{txt}
{com}.         order paid_status, after(org_donation_id)
{txt}
{com}.         
.         keep responseid donate_d org_donation_id paid_status
{txt}
{com}.         
.         tempfile payment_module
{txt}
{com}.         sa "`payment_module'"
{txt}file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.000004 saved

{com}.         
.         restore
{txt}
{com}.         
.         * Main form of survey 
.         keep country full_name recipientemail responseid progress durationinseconds finished userlanguage num_unit confirmation_* ///
>         title_bur* elecpol_ovrsee* title_elecpol* aptpol_d* title_aptpol* who_aptpol* mostinf_servdel* educ_elecpolbur* ///
>         educ_apolbur* slry_elecpolbur* slry_apolbur* fdout_epol_bgt* fdout_apol_bgt* budsect_epol* budsect_apol* acinfexp_epol* /// 
>         acinfexp_apol* understand_epol* understand_apol* acttake_epol* acttake_epol* acttake_apol* acttake_apol* likely* why_likchan* /// 
>         who_apt_bur* who_apt_bur* who_fir_bur* who_fir_bur* ocap_epol* ocap_apol* prio_epol* prio_apol* overall_conf* avg_educ_epol* ///
>         avg_educ_apol* avg_educ_buro* avg_slry_epol* avg_slry_apol* avg_slry_buro* //
{txt}
{com}.         
.         destring durationinseconds progress, replace
{txt}durationinseconds: all characters numeric; {res}replaced {txt}as {res}int
{txt}progress: all characters numeric; {res}replaced {txt}as {res}byte
{txt}
{com}.         replace durationinseconds = round(durationinseconds/60)
{txt}(11 real changes made)

{com}.         ren durationinseconds duration_minutes
{res}{txt}
{com}. 
.         *--
.         
.         local id country full_name recipientemail responseid userlanguage num_unit finished progress duration_minutes
{txt}
{com}.         
.         order `id', first
{txt}
{com}.         duplicates drop `id', force

{p 0 4}{txt}Duplicates in terms of {res} country full_name recipientemail responseid userlanguage num_unit finished progress duration_minutes{p_end}

{txt}(0 observations are duplicates)

{com}.         
.         * Renaming others
.         
.         forvalues x = 1/3 {c -(}
{txt}  2{com}.                 
.                 forvalues y = 1/6 {c -(} 
{txt}  3{com}.                 
.                         cap ren who_apt_bur_`x'_`y'_8_text who_apt_buroth_`x'_`y'
{txt}  4{com}.                         cap ren who_fir_bur_`x'_`y'_8_text who_fir_buroth_`x'_`y'
{txt}  5{com}.                         cap ren acttake_epol_`x'_`y'_9_text acttake_epoloth_`x'_`y'
{txt}  6{com}.                         cap ren acttake_apol_`x'_`y'_9_text acttake_apoloth_`x'_`y'
{txt}  7{com}.                         
.                         {c )-}
{txt}  8{com}.                         
.                 {c )-}
{txt}
{com}.         
.         #delimit ;
{txt}delimiter now ;
{com}.         local var confirmation
>         title_bur 
>         elecpol_ovrsee
>         title_elecpol
>         aptpol_d
>         title_aptpol
>         who_aptpol
>         mostinf_servdel
>         educ_elecpolbur
>         educ_apolbur
>         slry_elecpolbur
>         slry_apolbur
>         fdout_epol_bgt
>         fdout_apol_bgt
>         budsect_epol
>         budsect_apol
>         acinfexp_epol
>         acinfexp_apol
>         understand_epol
>         understand_apol
>         acttake_epol
>         acttake_epoloth
>         acttake_apol
>         acttake_apoloth
>         likely
>         why_likchan
>         who_apt_bur
>         who_apt_buroth
>         who_fir_bur
>         who_fir_buroth
>         ocap_epol
>         ocap_apol
>         prio_epol
>         prio_apol
>         overall_conf
>         avg_educ_epol
>         avg_educ_apol
>         avg_educ_buro
>         avg_slry_epol
>         avg_slry_apol
>         avg_slry_buro
>         
>         ;
{txt}
{com}.                 #delimit cr
{txt}delimiter now cr
{com}. 
.         reshape long `var', i(`id') j(pos) s
{txt}(note: j = _1_1 _1_4 _1_5 _1_6 _2_1 _2_2 _2_4 _2_5 _2_6 _3_1 _3_2 _3_3 _3_4 _3_5 _3_6)
(note: confirmation_1_4 not found)
(note: confirmation_1_5 not found)
(note: confirmation_1_6 not found)
(note: confirmation_2_4 not found)
(note: confirmation_2_5 not found)
(note: confirmation_2_6 not found)
(note: confirmation_3_4 not found)
(note: confirmation_3_5 not found)
(note: confirmation_3_6 not found)

Data{col 36}wide{col 43}->{col 48}long
{hline 77}
Number of obs.                 {res}      11   {txt}->{res}     165
{txt}Number of variables            {res}     615   {txt}->{res}      51
{txt}j variable (15 values)                    ->   {res}pos
{txt}xij variables:
{res}confirmation_1_1 confirmation_1_4 ... confirmation_3_6{txt}->{res}confirmation
title_bur_1_1 title_bur_1_4 ... title_bur_3_6{txt}->{res}title_bur
elecpol_ovrsee_1_1 elecpol_ovrsee_1_4 ... elecpol_ovrsee_3_6{txt}->{res}elecpol_ovrsee
title_elecpol_1_1 title_elecpol_1_4 ... title_elecpol_3_6{txt}->{res}title_elecpol
aptpol_d_1_1 aptpol_d_1_4 ... aptpol_d_3_6{txt}->   {res}aptpol_d
title_aptpol_1_1 title_aptpol_1_4 ... title_aptpol_3_6{txt}->{res}title_aptpol
who_aptpol_1_1 who_aptpol_1_4 ... who_aptpol_3_6{txt}->{res}who_aptpol
mostinf_servdel_1_1 mostinf_servdel_1_4 ... mostinf_servdel_3_6{txt}->{res}mostinf_servdel
educ_elecpolbur_1_1 educ_elecpolbur_1_4 ... educ_elecpolbur_3_6{txt}->{res}educ_elecpolbur
educ_apolbur_1_1 educ_apolbur_1_4 ... educ_apolbur_3_6{txt}->{res}educ_apolbur
slry_elecpolbur_1_1 slry_elecpolbur_1_4 ... slry_elecpolbur_3_6{txt}->{res}slry_elecpolbur
slry_apolbur_1_1 slry_apolbur_1_4 ... slry_apolbur_3_6{txt}->{res}slry_apolbur
fdout_epol_bgt_1_1 fdout_epol_bgt_1_4 ... fdout_epol_bgt_3_6{txt}->{res}fdout_epol_bgt
fdout_apol_bgt_1_1 fdout_apol_bgt_1_4 ... fdout_apol_bgt_3_6{txt}->{res}fdout_apol_bgt
budsect_epol_1_1 budsect_epol_1_4 ... budsect_epol_3_6{txt}->{res}budsect_epol
budsect_apol_1_1 budsect_apol_1_4 ... budsect_apol_3_6{txt}->{res}budsect_apol
acinfexp_epol_1_1 acinfexp_epol_1_4 ... acinfexp_epol_3_6{txt}->{res}acinfexp_epol
acinfexp_apol_1_1 acinfexp_apol_1_4 ... acinfexp_apol_3_6{txt}->{res}acinfexp_apol
understand_epol_1_1 understand_epol_1_4 ... understand_epol_3_6{txt}->{res}understand_epol
understand_apol_1_1 understand_apol_1_4 ... understand_apol_3_6{txt}->{res}understand_apol
acttake_epol_1_1 acttake_epol_1_4 ... acttake_epol_3_6{txt}->{res}acttake_epol
acttake_epoloth_1_1 acttake_epoloth_1_4 ... acttake_epoloth_3_6{txt}->{res}acttake_epoloth
acttake_apol_1_1 acttake_apol_1_4 ... acttake_apol_3_6{txt}->{res}acttake_apol
acttake_apoloth_1_1 acttake_apoloth_1_4 ... acttake_apoloth_3_6{txt}->{res}acttake_apoloth
   likely_1_1 likely_1_4 ... likely_3_6   {txt}->   {res}likely
why_likchan_1_1 why_likchan_1_4 ... why_likchan_3_6{txt}->{res}why_likchan
who_apt_bur_1_1 who_apt_bur_1_4 ... who_apt_bur_3_6{txt}->{res}who_apt_bur
who_apt_buroth_1_1 who_apt_buroth_1_4 ... who_apt_buroth_3_6{txt}->{res}who_apt_buroth
who_fir_bur_1_1 who_fir_bur_1_4 ... who_fir_bur_3_6{txt}->{res}who_fir_bur
who_fir_buroth_1_1 who_fir_buroth_1_4 ... who_fir_buroth_3_6{txt}->{res}who_fir_buroth
ocap_epol_1_1 ocap_epol_1_4 ... ocap_epol_3_6{txt}->{res}ocap_epol
ocap_apol_1_1 ocap_apol_1_4 ... ocap_apol_3_6{txt}->{res}ocap_apol
prio_epol_1_1 prio_epol_1_4 ... prio_epol_3_6{txt}->{res}prio_epol
prio_apol_1_1 prio_apol_1_4 ... prio_apol_3_6{txt}->{res}prio_apol
overall_conf_1_1 overall_conf_1_4 ... overall_conf_3_6{txt}->{res}overall_conf
avg_educ_epol_1_1 avg_educ_epol_1_4 ... avg_educ_epol_3_6{txt}->{res}avg_educ_epol
avg_educ_apol_1_1 avg_educ_apol_1_4 ... avg_educ_apol_3_6{txt}->{res}avg_educ_apol
avg_educ_buro_1_1 avg_educ_buro_1_4 ... avg_educ_buro_3_6{txt}->{res}avg_educ_buro
avg_slry_epol_1_1 avg_slry_epol_1_4 ... avg_slry_epol_3_6{txt}->{res}avg_slry_epol
avg_slry_apol_1_1 avg_slry_apol_1_4 ... avg_slry_apol_3_6{txt}->{res}avg_slry_apol
avg_slry_buro_1_1 avg_slry_buro_1_4 ... avg_slry_buro_3_6{txt}->{res}avg_slry_buro
{txt}{hline 77}

{com}.         
.         * Filter data
.         
.         split pos, p("_")
{res}variables created as string: 
{txt}{col 1}pos1{col 7}pos2{col 13}pos3

{com}.         
.         drop pos1
{txt}
{com}.         ren pos2 case_n_unit
{res}{txt}
{com}.         ren pos3 unit_num
{res}{txt}
{com}.         destring case_n_unit unit_num, replace
{txt}case_n_unit: all characters numeric; {res}replaced {txt}as {res}byte
{txt}unit_num: all characters numeric; {res}replaced {txt}as {res}byte
{txt}
{com}.         order case_n_unit unit_num, after(duration_minutes)
{txt}
{com}.         drop pos
{txt}
{com}.         
.         destring num_unit, replace
{txt}num_unit: all characters numeric; {res}replaced {txt}as {res}byte
{txt}
{com}.         drop if num_unit != case_n_unit
{txt}(104 observations deleted)

{com}.         drop num_unit
{txt}
{com}.         
.         compress
  {txt}variable {bf}country{sf} was {bf}{res}str15{sf}{txt} now {bf}{res}str11{sf}
  {txt}variable {bf}full_name{sf} was {bf}{res}str28{sf}{txt} now {bf}{res}str23{sf}
  {txt}variable {bf}recipientemail{sf} was {bf}{res}str35{sf}{txt} now {bf}{res}str32{sf}
  {txt}variable {bf}userlanguage{sf} was {bf}{res}str13{sf}{txt} now {bf}{res}str2{sf}
  {txt}variable {bf}finished{sf} was {bf}{res}str8{sf}{txt} now {bf}{res}str4{sf}
  {txt}variable {bf}title_bur{sf} was {bf}{res}str448{sf}{txt} now {bf}{res}str235{sf}
  {txt}variable {bf}elecpol_ovrsee{sf} was {bf}{res}str352{sf}{txt} now {bf}{res}str3{sf}
  {txt}variable {bf}title_elecpol{sf} was {bf}{res}str312{sf}{txt} now {bf}{res}str288{sf}
  {txt}variable {bf}aptpol_d{sf} was {bf}{res}str332{sf}{txt} now {bf}{res}str30{sf}
  {txt}variable {bf}who_aptpol{sf} was {bf}{res}str96{sf}{txt} now {bf}{res}str84{sf}
  {txt}variable {bf}mostinf_servdel{sf} was {bf}{res}str256{sf}{txt} now {bf}{res}str44{sf}
  {txt}variable {bf}educ_elecpolbur{sf} was {bf}{res}str258{sf}{txt} now {bf}{res}str51{sf}
  {txt}variable {bf}educ_apolbur{sf} was {bf}{res}str260{sf}{txt} now {bf}{res}str1{sf}
  {txt}variable {bf}slry_elecpolbur{sf} was {bf}{res}str316{sf}{txt} now {bf}{res}str47{sf}
  {txt}variable {bf}slry_apolbur{sf} was {bf}{res}str318{sf}{txt} now {bf}{res}str1{sf}
  {txt}variable {bf}fdout_epol_bgt{sf} was {bf}{res}str373{sf}{txt} now {bf}{res}str19{sf}
  {txt}variable {bf}fdout_apol_bgt{sf} was {bf}{res}str375{sf}{txt} now {bf}{res}str1{sf}
  {txt}variable {bf}budsect_epol{sf} was {bf}{res}str217{sf}{txt} now {bf}{res}str19{sf}
  {txt}variable {bf}budsect_apol{sf} was {bf}{res}str219{sf}{txt} now {bf}{res}str1{sf}
  {txt}variable {bf}acinfexp_epol{sf} was {bf}{res}str216{sf}{txt} now {bf}{res}str19{sf}
  {txt}variable {bf}acinfexp_apol{sf} was {bf}{res}str218{sf}{txt} now {bf}{res}str1{sf}
  {txt}variable {bf}understand_epol{sf} was {bf}{res}str214{sf}{txt} now {bf}{res}str21{sf}
  {txt}variable {bf}understand_apol{sf} was {bf}{res}str216{sf}{txt} now {bf}{res}str21{sf}
  {txt}variable {bf}acttake_epol{sf} was {bf}{res}str247{sf}{txt} now {bf}{res}str163{sf}
  {txt}variable {bf}acttake_epoloth{sf} was {bf}{res}str261{sf}{txt} now {bf}{res}str63{sf}
  {txt}variable {bf}acttake_apol{sf} was {bf}{res}str250{sf}{txt} now {bf}{res}str1{sf}
  {txt}variable {bf}acttake_apoloth{sf} was {bf}{res}str264{sf}{txt} now {bf}{res}str1{sf}
  {txt}variable {bf}likely{sf} was {bf}{res}str159{sf}{txt} now {bf}{res}str18{sf}
  {txt}variable {bf}who_apt_bur{sf} was {bf}{res}str126{sf}{txt} now {bf}{res}str64{sf}
  {txt}variable {bf}who_fir_bur{sf} was {bf}{res}str120{sf}{txt} now {bf}{res}str64{sf}
  {txt}variable {bf}who_fir_buroth{sf} was {bf}{res}str134{sf}{txt} now {bf}{res}str77{sf}
  {txt}variable {bf}ocap_epol{sf} was {bf}{res}str359{sf}{txt} now {bf}{res}str55{sf}
  {txt}variable {bf}ocap_apol{sf} was {bf}{res}str361{sf}{txt} now {bf}{res}str1{sf}
  {txt}variable {bf}prio_epol{sf} was {bf}{res}str209{sf}{txt} now {bf}{res}str73{sf}
  {txt}variable {bf}prio_apol{sf} was {bf}{res}str211{sf}{txt} now {bf}{res}str1{sf}
  {txt}variable {bf}overall_conf{sf} was {bf}{res}str191{sf}{txt} now {bf}{res}str17{sf}
  {txt}variable {bf}avg_educ_buro{sf} was {bf}{res}str117{sf}{txt} now {bf}{res}str101{sf}
  {txt}variable {bf}avg_slry_apol{sf} was {bf}{res}str134{sf}{txt} now {bf}{res}str128{sf}
  {txt}variable {bf}avg_slry_buro{sf} was {bf}{res}str134{sf}{txt} now {bf}{res}str87{sf}
  {txt}variable {bf}confirmation{sf} was {bf}{res}str1148{sf}{txt} now {bf}{res}str63{sf}
{txt}  (462,685 bytes saved)

{com}.         
.         * We edit the label 
.         
.         lab var country "Country"
{txt}
{com}.         lab var full_name  "Full name of recipient"
{txt}
{com}.         lab var recipientemail "Recipient email"
{txt}
{com}.         lab var userlanguage "Language used to answer"
{txt}
{com}.         lab var finished "Completion status"
{txt}
{com}.         lab var progress "Progress"
{txt}
{com}.         lab var duration_minutes "Duration in minutes"
{txt}
{com}.         lab var case_n_unit "Original number of entities"
{txt}
{com}.         lab var unit_num "Unit number"
{txt}
{com}.         
.         * Confirmation
.         
.         fre confirmation
{res}
{txt}confirmation
{txt}{hline 54}{hline 1}{c TT}{hline 44}
{txt}        {txt}                                               {c |}      Freq.    Percent      Valid       Cum.
{txt}{hline 54}{hline 1}{c +}{hline 44}
{txt}Valid   No, this is inaccurate. This level needs to be {c |}{res}          2       3.28       7.14       7.14
{txt}        replaced/deleted                               {c |}{res}                                            
{txt}        No, this level needs to be replaced/deleted    {c |}{res}          2       3.28       7.14      14.29
{txt}        Yes, this is accurate                          {c |}{res}         24      39.34      85.71     100.00
{txt}        Total                                          {c |}{res}         28      45.90     100.00           
{txt}Missing                                                {c |}{res}         33      54.10                      
{txt}Total                                                  {c |}{res}         61     100.00                      
{txt}{hline 54}{hline 1}{c BT}{hline 44}

{com}.         replace confirmation = "1" if confirmation == "Yes, this is accurate"
{txt}(24 real changes made)

{com}.         replace confirmation = "0" if regexm(confirmation,"No")
{txt}(4 real changes made)

{com}.         destring confirmation, replace
{txt}confirmation: all characters numeric; {res}replaced {txt}as {res}byte
{txt}(33 missing values generated)
{res}{txt}
{com}.         
.         lab var confirmation "Confirmation of adequacy of unit"
{txt}
{com}.         lab def confirmation 0 "No, this is not accurate. It should be replaced/deleted" 1 "Yes, this is accurate"
{txt}
{com}.         lab val confirmation confirmation
{txt}
{com}.         
.         fre confirmation
{res}
{txt}confirmation {hline 2} Confirmation of adequacy of unit
{txt}{hline 48}{hline 1}{c TT}{hline 44}
{txt}        {txt}                                         {c |}      Freq.    Percent      Valid       Cum.
{txt}{hline 48}{hline 1}{c +}{hline 44}
{txt}Valid   0 No, this is not accurate. It should be {c |}{res}          4       6.56      14.29      14.29
{txt}          replaced/deleted                       {c |}{res}                                            
{txt}        1 Yes, this is accurate                  {c |}{res}         24      39.34      85.71     100.00
{txt}        Total                                    {c |}{res}         28      45.90     100.00           
{txt}Missing .                                        {c |}{res}         33      54.10                      
{txt}Total                                            {c |}{res}         61     100.00                      
{txt}{hline 48}{hline 1}{c BT}{hline 44}

{com}.         
.         order confirmation, after(unit_num)
{txt}
{com}.         
.         * Creating variable about asked_survey (should be updated)
.         
.         gen asked_survey = 0
{txt}
{com}.         replace asked_survey = 1 if confirmation == 1
{txt}(24 real changes made)

{com}.         lab var asked_survey "Survey question asked to respondent"
{txt}
{com}.         lab def yesno 0 "No" 1 "Yes"
{txt}
{com}.         lab val asked_survey yesno
{txt}
{com}.         order asked_survey, after(confirmation)
{txt}
{com}.         
.         * title_bur
.         
.         lab var title_bur "Title of the highest-level bureaucrat in unit"
{txt}
{com}.         
.         gen test_title_bur = (title_bur != "")
{txt}
{com}.         replace test_title_bur = . if asked_survey == 0
{txt}(37 real changes made, 37 to missing)

{com}.         fre test_title_bur
{res}
{txt}test_title_bur
{txt}{hline 9}{hline 1}{c TT}{hline 44}
{txt}        {txt}  {c |}      Freq.    Percent      Valid       Cum.
{txt}{hline 9}{hline 1}{c +}{hline 44}
{txt}Valid   1 {c |}{res}         24      39.34     100.00     100.00
{txt}Missing . {c |}{res}         37      60.66                      
{txt}Total     {c |}{res}         61     100.00                      
{txt}{hline 9}{hline 1}{c BT}{hline 44}

{com}.         assert inlist(test_title_bur,.,1)
{txt}
{com}.         
.         drop test_title_bur
{txt}
{com}.         
.         * elecpol_ovrsee
.         
.         lab var elecpol_ovrsee "Any politicians in unit overseeing service delivery"
{txt}
{com}.         replace elecpol_ovrsee = "0" if elecpol_ovrsee == "No"
{txt}(2 real changes made)

{com}.         replace elecpol_ovrsee = "1" if elecpol_ovrsee == "Yes"
{txt}(23 real changes made)

{com}.         destring elecpol_ovrsee, replace
{txt}elecpol_ovrsee: all characters numeric; {res}replaced {txt}as {res}byte
{txt}(36 missing values generated)
{res}{txt}
{com}.         lab val elecpol_ovrsee yesno
{txt}
{com}.         
.         fre elecpol_ovrsee
{res}
{txt}elecpol_ovrsee {hline 2} Any politicians in unit overseeing service delivery
{txt}{hline 13}{hline 1}{c TT}{hline 44}
{txt}        {txt}      {c |}      Freq.    Percent      Valid       Cum.
{txt}{hline 13}{hline 1}{c +}{hline 44}
{txt}Valid   0 No  {c |}{res}          2       3.28       8.00       8.00
{txt}        1 Yes {c |}{res}         23      37.70      92.00     100.00
{txt}        Total {c |}{res}         25      40.98     100.00           
{txt}Missing .     {c |}{res}         36      59.02                      
{txt}Total         {c |}{res}         61     100.00                      
{txt}{hline 13}{hline 1}{c BT}{hline 44}

{com}.         
.         gen test_elecpol_ovrsee = (elecpol_ovrsee != .)
{txt}
{com}.         replace test_elecpol_ovrsee = . if asked_survey == 0
{txt}(37 real changes made, 37 to missing)

{com}.         fre test_elecpol_ovrsee
{res}
{txt}test_elecpol_ovrsee
{txt}{hline 9}{hline 1}{c TT}{hline 44}
{txt}        {txt}  {c |}      Freq.    Percent      Valid       Cum.
{txt}{hline 9}{hline 1}{c +}{hline 44}
{txt}Valid   1 {c |}{res}         24      39.34     100.00     100.00
{txt}Missing . {c |}{res}         37      60.66                      
{txt}Total     {c |}{res}         61     100.00                      
{txt}{hline 9}{hline 1}{c BT}{hline 44}

{com}.         assert inlist(test_elecpol_ovrsee,.,1)
{txt}
{com}.         
.         drop test_elecpol_ovrsee
{txt}
{com}.         
.         * title_elecpol
.         
.         lab var title_elecpol "Title of the highest-level elected politician in unit"
{txt}
{com}.         
.         gen test_title_elecpol = (title_elecpol != "")
{txt}
{com}.         replace test_title_elecpol = . if asked_survey == 0
{txt}(37 real changes made, 37 to missing)

{com}.         replace test_title_elecpol = . if elecpol_ovrsee == 0
{txt}(1 real change made, 1 to missing)

{com}.         fre test_title_elecpol
{res}
{txt}test_title_elecpol
{txt}{hline 9}{hline 1}{c TT}{hline 44}
{txt}        {txt}  {c |}      Freq.    Percent      Valid       Cum.
{txt}{hline 9}{hline 1}{c +}{hline 44}
{txt}Valid   1 {c |}{res}         23      37.70     100.00     100.00
{txt}Missing . {c |}{res}         38      62.30                      
{txt}Total     {c |}{res}         61     100.00                      
{txt}{hline 9}{hline 1}{c BT}{hline 44}

{com}.         assert inlist(test_title_elecpol,.,1)
{txt}
{com}.         
.         drop test_title_elecpol
{txt}
{com}.         
.         * aptpol_d
.         
.         fre aptpol_d
{res}
{txt}aptpol_d
{txt}{hline 38}{hline 1}{c TT}{hline 44}
{txt}        {txt}                               {c |}      Freq.    Percent      Valid       Cum.
{txt}{hline 38}{hline 1}{c +}{hline 44}
{txt}Valid   Do not know / Refuse to answer {c |}{res}          1       1.64       4.00       4.00
{txt}        No                             {c |}{res}         15      24.59      60.00      64.00
{txt}        Yes                            {c |}{res}          9      14.75      36.00     100.00
{txt}        Total                          {c |}{res}         25      40.98     100.00           
{txt}Missing                                {c |}{res}         36      59.02                      
{txt}Total                                  {c |}{res}         61     100.00                      
{txt}{hline 38}{hline 1}{c BT}{hline 44}

{com}.         
.         lab var aptpol_d "Politician appointed by higher politician in unit"
{txt}
{com}.         replace aptpol_d = "0" if aptpol_d == "No"
{txt}(15 real changes made)

{com}.         replace aptpol_d = "1" if aptpol_d == "Yes"
{txt}(9 real changes made)

{com}.         replace aptpol_d = "-98" if aptpol_d == "Do not know / Refuse to answer"
{txt}(1 real change made)

{com}.         destring aptpol_d, replace
{txt}aptpol_d: all characters numeric; {res}replaced {txt}as {res}byte
{txt}(36 missing values generated)
{res}{txt}
{com}.         lab val aptpol_d yesno
{txt}
{com}.         
.         fre aptpol_d
{res}
{txt}aptpol_d {hline 2} Politician appointed by higher politician in unit
{txt}{hline 15}{hline 1}{c TT}{hline 44}
{txt}        {txt}        {c |}      Freq.    Percent      Valid       Cum.
{txt}{hline 15}{hline 1}{c +}{hline 44}
{txt}Valid   -98     {c |}{res}          1       1.64       4.00       4.00
{txt}        0   No  {c |}{res}         15      24.59      60.00      64.00
{txt}        1   Yes {c |}{res}          9      14.75      36.00     100.00
{txt}        Total   {c |}{res}         25      40.98     100.00           
{txt}Missing .       {c |}{res}         36      59.02                      
{txt}Total           {c |}{res}         61     100.00                      
{txt}{hline 15}{hline 1}{c BT}{hline 44}

{com}.         
.         gen test_aptpol_d = (aptpol_d != .)
{txt}
{com}.         replace test_aptpol_d = . if asked_survey == 0
{txt}(37 real changes made, 37 to missing)

{com}.         fre test_aptpol_d
{res}
{txt}test_aptpol_d
{txt}{hline 9}{hline 1}{c TT}{hline 44}
{txt}        {txt}  {c |}      Freq.    Percent      Valid       Cum.
{txt}{hline 9}{hline 1}{c +}{hline 44}
{txt}Valid   1 {c |}{res}         24      39.34     100.00     100.00
{txt}Missing . {c |}{res}         37      60.66                      
{txt}Total     {c |}{res}         61     100.00                      
{txt}{hline 9}{hline 1}{c BT}{hline 44}

{com}.         assert inlist(test_aptpol_d,.,1)
{txt}
{com}.         
.         drop test_aptpol_d
{txt}
{com}.         
.         * pol_exist_d
.         
.         gen pol_exist_d = 0
{txt}
{com}.         replace pol_exist_d = 1 if aptpol_d == 1 | elecpol_ovrsee == 1
{txt}(23 real changes made)

{com}.         replace pol_exist_d = . if asked_survey == 0
{txt}(37 real changes made, 37 to missing)

{com}.         lab val pol_exist_d yesno
{txt}
{com}.         lab var pol_exist_d "1 if we have either an appointed or elected politician"
{txt}
{com}.         
.         fre pol_exist_d
{res}
{txt}pol_exist_d {hline 2} 1 if we have either an appointed or elected politician
{txt}{hline 13}{hline 1}{c TT}{hline 44}
{txt}        {txt}      {c |}      Freq.    Percent      Valid       Cum.
{txt}{hline 13}{hline 1}{c +}{hline 44}
{txt}Valid   0 No  {c |}{res}          1       1.64       4.17       4.17
{txt}        1 Yes {c |}{res}         23      37.70      95.83     100.00
{txt}        Total {c |}{res}         24      39.34     100.00           
{txt}Missing .     {c |}{res}         37      60.66                      
{txt}Total         {c |}{res}         61     100.00                      
{txt}{hline 13}{hline 1}{c BT}{hline 44}

{com}.         order pol_exist_d, after(aptpol_d)
{txt}
{com}.         
.         * title_aptpol
.         
.         lab var title_aptpol "Title of the highest-level appointed politician in unit"
{txt}
{com}.         
.         gen test_title_aptpol = (title_aptpol != "")
{txt}
{com}.         replace test_title_aptpol = . if asked_survey == 0 
{txt}(37 real changes made, 37 to missing)

{com}.         replace test_title_aptpol = . if aptpol_d == 0 | aptpol_d == -98
{txt}(15 real changes made, 15 to missing)

{com}.         fre test_title_aptpol
{res}
{txt}test_title_aptpol
{txt}{hline 9}{hline 1}{c TT}{hline 44}
{txt}        {txt}  {c |}      Freq.    Percent      Valid       Cum.
{txt}{hline 9}{hline 1}{c +}{hline 44}
{txt}Valid   1 {c |}{res}          9      14.75     100.00     100.00
{txt}Missing . {c |}{res}         52      85.25                      
{txt}Total     {c |}{res}         61     100.00                      
{txt}{hline 9}{hline 1}{c BT}{hline 44}

{com}.         assert inlist(test_title_aptpol,.,1)
{txt}
{com}.         
.         drop test_title_aptpol
{txt}
{com}.         
.         * who_aptpol
.         
.         lab var who_aptpol "Who appoints the highest-level appointed politician in unit"
{txt}
{com}.         
.         gen test_who_aptpol = (who_aptpol != "")
{txt}
{com}.         replace test_who_aptpol = . if asked_survey == 0 
{txt}(37 real changes made, 37 to missing)

{com}.         replace test_who_aptpol = . if aptpol_d == 0 | aptpol_d == -98
{txt}(15 real changes made, 15 to missing)

{com}.         fre test_who_aptpol
{res}
{txt}test_who_aptpol
{txt}{hline 9}{hline 1}{c TT}{hline 44}
{txt}        {txt}  {c |}      Freq.    Percent      Valid       Cum.
{txt}{hline 9}{hline 1}{c +}{hline 44}
{txt}Valid   1 {c |}{res}          9      14.75     100.00     100.00
{txt}Missing . {c |}{res}         52      85.25                      
{txt}Total     {c |}{res}         61     100.00                      
{txt}{hline 9}{hline 1}{c BT}{hline 44}

{com}.         assert inlist(test_who_aptpol,.,1)
{txt}
{com}.         
.         drop test_who_aptpol
{txt}
{com}.         
.         * mostinf_servdel
.         
.         lab var mostinf_servdel "More influential in determining quality of service"
{txt}
{com}.         
.         replace mostinf_servdel = "1" if regexm(mostinf_servdel,"Elected much more")
{txt}(5 real changes made)

{com}.         replace mostinf_servdel = "2" if regexm(mostinf_servdel,"Elected slightly more")
{txt}(0 real changes made)

{com}.         replace mostinf_servdel = "3" if regexm(mostinf_servdel,"About the same")
{txt}(1 real change made)

{com}.         replace mostinf_servdel = "4" if regexm(mostinf_servdel,"Appointed slightly more")
{txt}(0 real changes made)

{com}.         replace mostinf_servdel = "5" if regexm(mostinf_servdel,"Appointed much more")
{txt}(3 real changes made)

{com}.         destring mostinf_servdel, replace
{txt}mostinf_servdel: all characters numeric; {res}replaced {txt}as {res}byte
{txt}(52 missing values generated)
{res}{txt}
{com}.         lab def mostinf_servdel 1 "Elected much more influential" 2 "Elected slightly more influential" 3 "About the same" 4 "Appointed slightly more influential" 5 "Appointed much more influential"
{txt}
{com}.         lab val mostinf_servdel mostinf_servdel
{txt}
{com}.         
.         fre mostinf_servdel
{res}
{txt}mostinf_servdel {hline 2} More influential in determining quality of service
{txt}{hline 41}{hline 1}{c TT}{hline 44}
{txt}        {txt}                                  {c |}      Freq.    Percent      Valid       Cum.
{txt}{hline 41}{hline 1}{c +}{hline 44}
{txt}Valid   1 Elected much more influential   {c |}{res}          5       8.20      55.56      55.56
{txt}        3 About the same                  {c |}{res}          1       1.64      11.11      66.67
{txt}        5 Appointed much more influential {c |}{res}          3       4.92      33.33     100.00
{txt}        Total                             {c |}{res}          9      14.75     100.00           
{txt}Missing .                                 {c |}{res}         52      85.25                      
{txt}Total                                     {c |}{res}         61     100.00                      
{txt}{hline 41}{hline 1}{c BT}{hline 44}

{com}.         
.         gen test_mostinf_servdel = (mostinf_servdel != .)
{txt}
{com}.         replace test_mostinf_servdel = . if asked_survey == 0 
{txt}(37 real changes made, 37 to missing)

{com}.         replace test_mostinf_servdel = . if (inlist(aptpol_d,0,-98) | elecpol_ovrsee == 0)
{txt}(15 real changes made, 15 to missing)

{com}.         fre test_mostinf_servdel
{res}
{txt}test_mostinf_servdel
{txt}{hline 9}{hline 1}{c TT}{hline 44}
{txt}        {txt}  {c |}      Freq.    Percent      Valid       Cum.
{txt}{hline 9}{hline 1}{c +}{hline 44}
{txt}Valid   1 {c |}{res}          9      14.75     100.00     100.00
{txt}Missing . {c |}{res}         52      85.25                      
{txt}Total     {c |}{res}         61     100.00                      
{txt}{hline 9}{hline 1}{c BT}{hline 44}

{com}.         assert inlist(test_mostinf_servdel,.,1)
{txt}
{com}.         
.         drop test_mostinf_servdel
{txt}
{com}.         
.         * educ_elecpolbur
.         
.         lab var educ_elecpolbur "More educated bureaucrat or politician (elec. politician)"
{txt}
{com}.         
.         fre educ_elecpolbur
{res}
{txt}educ_elecpolbur {hline 2} More educated bureaucrat or politician (elec. politician)
{txt}{hline 55}{hline 1}{c TT}{hline 44}
{txt}        {txt}                                                {c |}      Freq.    Percent      Valid       Cum.
{txt}{hline 55}{hline 1}{c +}{hline 44}
{txt}Valid   About the same level of education               {c |}{res}          4       6.56      17.39      17.39
{txt}        Bureaucrats much more educated than Politicians {c |}{res}         13      21.31      56.52      73.91
{txt}        Bureaucrats slightly more educated than         {c |}{res}          6       9.84      26.09     100.00
{txt}        Politicians                                     {c |}{res}                                            
{txt}        Total                                           {c |}{res}         23      37.70     100.00           
{txt}Missing                                                 {c |}{res}         38      62.30                      
{txt}Total                                                   {c |}{res}         61     100.00                      
{txt}{hline 55}{hline 1}{c BT}{hline 44}

{com}.         
.         replace educ_elecpolbur = "1" if regexm(educ_elecpolbur,"Bureaucrats much more educated")
{txt}(13 real changes made)

{com}.         replace educ_elecpolbur = "2" if regexm(educ_elecpolbur,"Bureaucrats slightly more educated")
{txt}(6 real changes made)

{com}.         replace educ_elecpolbur = "3" if regexm(educ_elecpolbur,"About the same")
{txt}(4 real changes made)

{com}.         replace educ_elecpolbur = "4" if regexm(educ_elecpolbur,"Politicians slightly more educated")
{txt}(0 real changes made)

{com}.         replace educ_elecpolbur = "5" if regexm(educ_elecpolbur,"Politicians much more educated")
{txt}(0 real changes made)

{com}.         destring educ_elecpolbur, replace
{txt}educ_elecpolbur: all characters numeric; {res}replaced {txt}as {res}byte
{txt}(38 missing values generated)
{res}{txt}
{com}.         lab def educ_elecpolbur 1 "Bureaucrats much more educated" 2 "Bureaucrats slightly more educated" 3 "About the same" 4 "Politicians slightly more educated" 5 "Politicians much more educated"
{txt}
{com}.         lab val educ_elecpolbur educ_elecpolbur
{txt}
{com}.         
.         fre educ_elecpolbur
{res}
{txt}educ_elecpolbur {hline 2} More educated bureaucrat or politician (elec. politician)
{txt}{hline 44}{hline 1}{c TT}{hline 44}
{txt}        {txt}                                     {c |}      Freq.    Percent      Valid       Cum.
{txt}{hline 44}{hline 1}{c +}{hline 44}
{txt}Valid   1 Bureaucrats much more educated     {c |}{res}         13      21.31      56.52      56.52
{txt}        2 Bureaucrats slightly more educated {c |}{res}          6       9.84      26.09      82.61
{txt}        3 About the same                     {c |}{res}          4       6.56      17.39     100.00
{txt}        Total                                {c |}{res}         23      37.70     100.00           
{txt}Missing .                                    {c |}{res}         38      62.30                      
{txt}Total                                        {c |}{res}         61     100.00                      
{txt}{hline 44}{hline 1}{c BT}{hline 44}

{com}.         
.         gen test_educ_elecpolbur = (educ_elecpolbur != .)
{txt}
{com}.         replace test_educ_elecpolbur = . if asked_survey == 0 
{txt}(37 real changes made, 37 to missing)

{com}.         replace test_educ_elecpolbur = . if elecpol_ovrsee == 0
{txt}(1 real change made, 1 to missing)

{com}.         fre test_educ_elecpolbur
{res}
{txt}test_educ_elecpolbur
{txt}{hline 9}{hline 1}{c TT}{hline 44}
{txt}        {txt}  {c |}      Freq.    Percent      Valid       Cum.
{txt}{hline 9}{hline 1}{c +}{hline 44}
{txt}Valid   1 {c |}{res}         23      37.70     100.00     100.00
{txt}Missing . {c |}{res}         38      62.30                      
{txt}Total     {c |}{res}         61     100.00                      
{txt}{hline 9}{hline 1}{c BT}{hline 44}

{com}.         assert inlist(test_educ_elecpolbur,.,1)
{txt}
{com}.         
.         drop test_educ_elecpolbur
{txt}
{com}.         
.         * educ_apolbur
.         
.         lab var educ_apolbur "More educated bureaucrat or politician (app. politician) "
{txt}
{com}.         
.         fre educ_apolbur
{res}
{txt}educ_apolbur {hline 2} More educated bureaucrat or politician (app. politician) 
{txt}{hline 8}{hline 1}{c TT}{hline 44}
{txt}        {txt} {c |}      Freq.    Percent      Valid       Cum.
{txt}{hline 8}{hline 1}{c +}{hline 44}
{txt}Missing  {c |}{res}         61     100.00                      
{txt}{hline 8}{hline 1}{c BT}{hline 44}

{com}.         
.         replace educ_apolbur = "1" if regexm(educ_apolbur,"Bureaucrats much more educated")
{txt}(0 real changes made)

{com}.         replace educ_apolbur = "2" if regexm(educ_apolbur,"Bureaucrats slightly more educated")
{txt}(0 real changes made)

{com}.         replace educ_apolbur = "3" if regexm(educ_apolbur,"About the same")
{txt}(0 real changes made)

{com}.         replace educ_apolbur = "4" if regexm(educ_apolbur,"Politicians slightly more educated")
{txt}(0 real changes made)

{com}.         replace educ_apolbur = "5" if regexm(educ_apolbur,"Politicians much more educated")
{txt}(0 real changes made)

{com}.         destring educ_apolbur, replace
{txt}educ_apolbur: all characters numeric; {res}replaced {txt}as {res}byte
{txt}(61 missing values generated)
{res}{txt}
{com}.         lab def educ_apolbur 1 "Bureaucrats much more educated" 2 "Bureaucrats slightly more educated" 3 "About the same" 4 "Politicians slightly more educated" 5 "Politicians much more educated"
{txt}
{com}.         lab val educ_apolbur educ_apolbur
{txt}
{com}.         
.         fre educ_apolbur
{res}
{txt}educ_apolbur {hline 2} More educated bureaucrat or politician (app. politician) 
{txt}{hline 13}{hline 1}{c TT}{hline 44}
{txt}        {txt}      {c |}      Freq.    Percent      Valid       Cum.
{txt}{hline 13}{hline 1}{c +}{hline 44}
{txt}Missing .     {c |}{res}         61     100.00                      
{txt}{hline 13}{hline 1}{c BT}{hline 44}

{com}.         
.         gen test_educ_apolbur = (educ_apolbur != .)
{txt}
{com}.         replace test_educ_apolbur = . if asked_survey == 0
{txt}(37 real changes made, 37 to missing)

{com}.         replace test_educ_apolbur = . if aptpol_d == 0
{txt}(14 real changes made, 14 to missing)

{com}.         replace test_educ_apolbur = . if elecpol_ovrsee == 1 
{txt}(10 real changes made, 10 to missing)

{com}.         fre test_educ_apolbur
{res}
{txt}test_educ_apolbur
{txt}{hline 9}{hline 1}{c TT}{hline 44}
{txt}        {txt}  {c |}      Freq.    Percent      Valid       Cum.
{txt}{hline 9}{hline 1}{c +}{hline 44}
{txt}Missing . {c |}{res}         61     100.00                      
{txt}{hline 9}{hline 1}{c BT}{hline 44}

{com}.         assert inlist(test_educ_apolbur,.,1)
{txt}
{com}.         
.         drop test_educ_apolbur
{txt}
{com}.         
.         * slry_elecpolbur
.         
.         lab var slry_elecpolbur "Earning more bureaucrat or politician (elec. politician)"
{txt}
{com}.         
.         fre slry_elecpolbur
{res}
{txt}slry_elecpolbur {hline 2} Earning more bureaucrat or politician (elec. politician)
{txt}{hline 55}{hline 1}{c TT}{hline 44}
{txt}        {txt}                                                {c |}      Freq.    Percent      Valid       Cum.
{txt}{hline 55}{hline 1}{c +}{hline 44}
{txt}Valid   Both earn about the same                        {c |}{res}          4       6.56      17.39      17.39
{txt}        Bureaucrats earn much more than Politicians     {c |}{res}          5       8.20      21.74      39.13
{txt}        Bureaucrats earn slightly more than Politicians {c |}{res}          3       4.92      13.04      52.17
{txt}        Politicians earn much more than Bureaucrats     {c |}{res}          6       9.84      26.09      78.26
{txt}        Politicians earn slightly more than Bureaucrats {c |}{res}          5       8.20      21.74     100.00
{txt}        Total                                           {c |}{res}         23      37.70     100.00           
{txt}Missing                                                 {c |}{res}         38      62.30                      
{txt}Total                                                   {c |}{res}         61     100.00                      
{txt}{hline 55}{hline 1}{c BT}{hline 44}

{com}.         
.         replace slry_elecpolbur = "1" if regexm(slry_elecpolbur,"Bureaucrats earn much")
{txt}(5 real changes made)

{com}.         replace slry_elecpolbur = "2" if regexm(slry_elecpolbur,"Bureaucrats earn slightly")
{txt}(3 real changes made)

{com}.         replace slry_elecpolbur = "3" if regexm(slry_elecpolbur,"Both earn")
{txt}(4 real changes made)

{com}.         replace slry_elecpolbur = "4" if regexm(slry_elecpolbur,"Politicians earn slightly")
{txt}(5 real changes made)

{com}.         replace slry_elecpolbur = "5" if regexm(slry_elecpolbur,"Politicians earn much")
{txt}(6 real changes made)

{com}.         destring slry_elecpolbur, replace
{txt}slry_elecpolbur: all characters numeric; {res}replaced {txt}as {res}byte
{txt}(38 missing values generated)
{res}{txt}
{com}.         lab def slry_elecpolbur 1 "Bureaucrats earn much more" 2 "Bureaucrats earn slightly more" 3 "Both earn the same" 4 "Politicians earn slightly" 5 "Politicians earn much more"
{txt}
{com}.         lab val slry_elecpolbur slry_elecpolbur
{txt}
{com}.         
.         fre slry_elecpolbur
{res}
{txt}slry_elecpolbur {hline 2} Earning more bureaucrat or politician (elec. politician)
{txt}{hline 40}{hline 1}{c TT}{hline 44}
{txt}        {txt}                                 {c |}      Freq.    Percent      Valid       Cum.
{txt}{hline 40}{hline 1}{c +}{hline 44}
{txt}Valid   1 Bureaucrats earn much more     {c |}{res}          5       8.20      21.74      21.74
{txt}        2 Bureaucrats earn slightly more {c |}{res}          3       4.92      13.04      34.78
{txt}        3 Both earn the same             {c |}{res}          4       6.56      17.39      52.17
{txt}        4 Politicians earn slightly      {c |}{res}          5       8.20      21.74      73.91
{txt}        5 Politicians earn much more     {c |}{res}          6       9.84      26.09     100.00
{txt}        Total                            {c |}{res}         23      37.70     100.00           
{txt}Missing .                                {c |}{res}         38      62.30                      
{txt}Total                                    {c |}{res}         61     100.00                      
{txt}{hline 40}{hline 1}{c BT}{hline 44}

{com}.         
.         gen test_slry_elecpolbur = (slry_elecpolbur != .)
{txt}
{com}.         replace test_slry_elecpolbur = . if asked_survey == 0 
{txt}(37 real changes made, 37 to missing)

{com}.         replace test_slry_elecpolbur = . if elecpol_ovrsee == 0
{txt}(1 real change made, 1 to missing)

{com}.         fre test_slry_elecpolbur
{res}
{txt}test_slry_elecpolbur
{txt}{hline 9}{hline 1}{c TT}{hline 44}
{txt}        {txt}  {c |}      Freq.    Percent      Valid       Cum.
{txt}{hline 9}{hline 1}{c +}{hline 44}
{txt}Valid   1 {c |}{res}         23      37.70     100.00     100.00
{txt}Missing . {c |}{res}         38      62.30                      
{txt}Total     {c |}{res}         61     100.00                      
{txt}{hline 9}{hline 1}{c BT}{hline 44}

{com}.         assert inlist(test_slry_elecpolbur,.,1)
{txt}
{com}.         
.         drop test_slry_elecpolbur
{txt}
{com}.         
.         * slry_apolbur
.         
.         lab var slry_apolbur "Earning more bureaucrat or politician (app. politician)"
{txt}
{com}.         
.         fre slry_apolbur
{res}
{txt}slry_apolbur {hline 2} Earning more bureaucrat or politician (app. politician)
{txt}{hline 8}{hline 1}{c TT}{hline 44}
{txt}        {txt} {c |}      Freq.    Percent      Valid       Cum.
{txt}{hline 8}{hline 1}{c +}{hline 44}
{txt}Missing  {c |}{res}         61     100.00                      
{txt}{hline 8}{hline 1}{c BT}{hline 44}

{com}.         
.         replace slry_apolbur = "1" if regexm(slry_apolbur,"Bureaucrats earn much")
{txt}(0 real changes made)

{com}.         replace slry_apolbur = "2" if regexm(slry_apolbur,"Bureaucrats earn slightly")
{txt}(0 real changes made)

{com}.         replace slry_apolbur = "3" if regexm(slry_apolbur,"Both earn")
{txt}(0 real changes made)

{com}.         replace slry_apolbur = "4" if regexm(slry_apolbur,"Politicians earn slightly")
{txt}(0 real changes made)

{com}.         replace slry_apolbur = "5" if regexm(slry_apolbur,"Politicians earn much")
{txt}(0 real changes made)

{com}.         destring slry_apolbur, replace
{txt}slry_apolbur: all characters numeric; {res}replaced {txt}as {res}byte
{txt}(61 missing values generated)
{res}{txt}
{com}.         lab def slry_apolbur 1 "Bureaucrats earn much more" 2 "Bureaucrats earn slightly more" 3 "Both earn the same" 4 "Politicians earn slightly" 5 "Politicians earn much more"
{txt}
{com}.         lab val slry_apolbur slry_apolbur
{txt}
{com}.         
.         fre slry_apolbur
{res}
{txt}slry_apolbur {hline 2} Earning more bureaucrat or politician (app. politician)
{txt}{hline 13}{hline 1}{c TT}{hline 44}
{txt}        {txt}      {c |}      Freq.    Percent      Valid       Cum.
{txt}{hline 13}{hline 1}{c +}{hline 44}
{txt}Missing .     {c |}{res}         61     100.00                      
{txt}{hline 13}{hline 1}{c BT}{hline 44}

{com}.         
.         gen test_slry_apolbur = (slry_apolbur != .)
{txt}
{com}.         replace test_slry_apolbur = . if asked_survey == 0
{txt}(37 real changes made, 37 to missing)

{com}.         replace test_slry_apolbur = . if aptpol_d == 0
{txt}(14 real changes made, 14 to missing)

{com}.         replace test_slry_apolbur = . if elecpol_ovrsee == 1 
{txt}(10 real changes made, 10 to missing)

{com}.         fre test_slry_apolbur
{res}
{txt}test_slry_apolbur
{txt}{hline 9}{hline 1}{c TT}{hline 44}
{txt}        {txt}  {c |}      Freq.    Percent      Valid       Cum.
{txt}{hline 9}{hline 1}{c +}{hline 44}
{txt}Missing . {c |}{res}         61     100.00                      
{txt}{hline 9}{hline 1}{c BT}{hline 44}

{com}.         assert inlist(test_slry_apolbur,.,1)
{txt}
{com}.         
.         drop test_slry_apolbur
{txt}
{com}.         
.         * We merge the payment module
.         
.         merge m:1 responseid using "`payment_module'"
{res}
{txt}{col 5}Result{col 38}# of obs.
{col 5}{hline 41}
{col 5}not matched{col 30}{res}               0
{txt}{col 5}matched{col 30}{res}              61{txt}  (_merge==3)
{col 5}{hline 41}

{com}.         drop _merge
{txt}
{com}.         order donate_d org_donation_id paid_status, after(duration_minutes)
{txt}
{com}.         
.         * fdout_epol_bgt
.         
.         lab var fdout_epol_bgt "Easy to find out about envelop (elec. politician)"
{txt}
{com}.         
.         fre fdout_epol_bgt
{res}
{txt}fdout_epol_bgt {hline 2} Easy to find out about envelop (elec. politician)
{txt}{hline 26}{hline 1}{c TT}{hline 44}
{txt}        {txt}                   {c |}      Freq.    Percent      Valid       Cum.
{txt}{hline 26}{hline 1}{c +}{hline 44}
{txt}Valid   Somewhat difficult {c |}{res}          3       4.92      13.04      13.04
{txt}        Somewhat easy      {c |}{res}          6       9.84      26.09      39.13
{txt}        Very easy          {c |}{res}         14      22.95      60.87     100.00
{txt}        Total              {c |}{res}         23      37.70     100.00           
{txt}Missing                    {c |}{res}         38      62.30                      
{txt}Total                      {c |}{res}         61     100.00                      
{txt}{hline 26}{hline 1}{c BT}{hline 44}

{com}.         
.         replace fdout_epol_bgt = "1" if regexm(fdout_epol_bgt,"Very easy")
{txt}(14 real changes made)

{com}.         replace fdout_epol_bgt = "2" if regexm(fdout_epol_bgt,"Somewhat easy")
{txt}(6 real changes made)

{com}.         replace fdout_epol_bgt = "3" if regexm(fdout_epol_bgt,"Somewhat difficult")
{txt}(3 real changes made)

{com}.         replace fdout_epol_bgt = "4" if regexm(fdout_epol_bgt,"Very difficult")
{txt}(0 real changes made)

{com}.         replace fdout_epol_bgt = "5" if regexm(fdout_epol_bgt,"Not applicable")
{txt}(0 real changes made)

{com}.         replace fdout_epol_bgt = "6" if regexm(fdout_epol_bgt,"Do not know")
{txt}(0 real changes made)

{com}.         
.         destring fdout_epol_bgt, replace
{txt}fdout_epol_bgt: all characters numeric; {res}replaced {txt}as {res}byte
{txt}(38 missing values generated)
{res}{txt}
{com}.         lab def fdout_epol_bgt 1 "Very easy" 2 "Somewhat easy" 3 "Somewhat difficult" 4 "Very difficult" 5 "Not applicable, this level of government has no spending power" 6 "Do not know / Refuse to answer"
{txt}
{com}.         lab val fdout_epol_bgt fdout_epol_bgt
{txt}
{com}.         
.         fre fdout_epol_bgt
{res}
{txt}fdout_epol_bgt {hline 2} Easy to find out about envelop (elec. politician)
{txt}{hline 28}{hline 1}{c TT}{hline 44}
{txt}        {txt}                     {c |}      Freq.    Percent      Valid       Cum.
{txt}{hline 28}{hline 1}{c +}{hline 44}
{txt}Valid   1 Very easy          {c |}{res}         14      22.95      60.87      60.87
{txt}        2 Somewhat easy      {c |}{res}          6       9.84      26.09      86.96
{txt}        3 Somewhat difficult {c |}{res}          3       4.92      13.04     100.00
{txt}        Total                {c |}{res}         23      37.70     100.00           
{txt}Missing .                    {c |}{res}         38      62.30                      
{txt}Total                        {c |}{res}         61     100.00                      
{txt}{hline 28}{hline 1}{c BT}{hline 44}

{com}.         
.         gen test_fdout_epol_bgt = (fdout_epol_bgt != .)
{txt}
{com}.         replace test_fdout_epol_bgt = . if asked_survey == 0 
{txt}(37 real changes made, 37 to missing)

{com}.         replace test_fdout_epol_bgt = . if elecpol_ovrsee == 0
{txt}(1 real change made, 1 to missing)

{com}.         fre test_fdout_epol_bgt
{res}
{txt}test_fdout_epol_bgt
{txt}{hline 9}{hline 1}{c TT}{hline 44}
{txt}        {txt}  {c |}      Freq.    Percent      Valid       Cum.
{txt}{hline 9}{hline 1}{c +}{hline 44}
{txt}Valid   1 {c |}{res}         23      37.70     100.00     100.00
{txt}Missing . {c |}{res}         38      62.30                      
{txt}Total     {c |}{res}         61     100.00                      
{txt}{hline 9}{hline 1}{c BT}{hline 44}

{com}.         assert inlist(test_fdout_epol_bgt,.,1)
{txt}
{com}.         
.         drop test_fdout_epol_bgt
{txt}
{com}.         
.         * fdout_apol_bgt
.         
.         lab var fdout_apol_bgt "Easy to find out about envelop (app. politician)"
{txt}
{com}.         
.         fre fdout_apol_bgt
{res}
{txt}fdout_apol_bgt {hline 2} Easy to find out about envelop (app. politician)
{txt}{hline 8}{hline 1}{c TT}{hline 44}
{txt}        {txt} {c |}      Freq.    Percent      Valid       Cum.
{txt}{hline 8}{hline 1}{c +}{hline 44}
{txt}Missing  {c |}{res}         61     100.00                      
{txt}{hline 8}{hline 1}{c BT}{hline 44}

{com}.         
.         replace fdout_apol_bgt = "1" if regexm(fdout_apol_bgt,"Very easy")
{txt}(0 real changes made)

{com}.         replace fdout_apol_bgt = "2" if regexm(fdout_apol_bgt,"Somewhat easy")
{txt}(0 real changes made)

{com}.         replace fdout_apol_bgt = "3" if regexm(fdout_apol_bgt,"Somewhat difficult")
{txt}(0 real changes made)

{com}.         replace fdout_apol_bgt = "4" if regexm(fdout_apol_bgt,"Very difficult")
{txt}(0 real changes made)

{com}.         replace fdout_apol_bgt = "5" if regexm(fdout_apol_bgt,"Not applicable")
{txt}(0 real changes made)

{com}.         replace fdout_apol_bgt = "6" if regexm(fdout_apol_bgt,"Do not know")
{txt}(0 real changes made)

{com}.         
.         destring fdout_apol_bgt, replace
{txt}fdout_apol_bgt: all characters numeric; {res}replaced {txt}as {res}byte
{txt}(61 missing values generated)
{res}{txt}
{com}.         lab def fdout_apol_bgt 1 "Very easy" 2 "Somewhat easy" 3 "Somewhat difficult" 4 "Very difficult" 5 "Not applicable, this level of government has no spending power" 6 "Do not know / Refuse to answer"
{txt}
{com}.         lab val fdout_apol_bgt fdout_apol_bgt
{txt}
{com}.         
.         fre fdout_apol_bgt
{res}
{txt}fdout_apol_bgt {hline 2} Easy to find out about envelop (app. politician)
{txt}{hline 13}{hline 1}{c TT}{hline 44}
{txt}        {txt}      {c |}      Freq.    Percent      Valid       Cum.
{txt}{hline 13}{hline 1}{c +}{hline 44}
{txt}Missing .     {c |}{res}         61     100.00                      
{txt}{hline 13}{hline 1}{c BT}{hline 44}

{com}.         
.         gen test_fdout_apol_bgt = (fdout_apol_bgt != .)
{txt}
{com}.         replace test_fdout_apol_bgt = . if asked_survey == 0
{txt}(37 real changes made, 37 to missing)

{com}.         replace test_fdout_apol_bgt = . if aptpol_d == 0
{txt}(14 real changes made, 14 to missing)

{com}.         replace test_fdout_apol_bgt = . if elecpol_ovrsee == 1 
{txt}(10 real changes made, 10 to missing)

{com}.         fre test_fdout_apol_bgt
{res}
{txt}test_fdout_apol_bgt
{txt}{hline 9}{hline 1}{c TT}{hline 44}
{txt}        {txt}  {c |}      Freq.    Percent      Valid       Cum.
{txt}{hline 9}{hline 1}{c +}{hline 44}
{txt}Missing . {c |}{res}         61     100.00                      
{txt}{hline 9}{hline 1}{c BT}{hline 44}

{com}.         assert inlist(test_fdout_apol_bgt,.,1)
{txt}
{com}.         
.         drop test_fdout_apol_bgt
{txt}
{com}.         
.         * budsect_epol
.         
.         lab var budsect_epol "Find about budget allocation to sectors (elec. politician)"
{txt}
{com}.         
.         fre budsect_epol
{res}
{txt}budsect_epol {hline 2} Find about budget allocation to sectors (elec. politician)
{txt}{hline 26}{hline 1}{c TT}{hline 44}
{txt}        {txt}                   {c |}      Freq.    Percent      Valid       Cum.
{txt}{hline 26}{hline 1}{c +}{hline 44}
{txt}Valid   Somewhat difficult {c |}{res}          2       3.28       8.70       8.70
{txt}        Somewhat easy      {c |}{res}          4       6.56      17.39      26.09
{txt}        Very difficult     {c |}{res}          1       1.64       4.35      30.43
{txt}        Very easy          {c |}{res}          9      14.75      39.13      69.57
{txt}        Somewhat easy      {c |}{res}          1       1.64       4.35      73.91
{txt}        Very easy          {c |}{res}          6       9.84      26.09     100.00
{txt}        Total              {c |}{res}         23      37.70     100.00           
{txt}Missing                    {c |}{res}         38      62.30                      
{txt}Total                      {c |}{res}         61     100.00                      
{txt}{hline 26}{hline 1}{c BT}{hline 44}

{com}.         
.         replace budsect_epol = "1" if regexm(budsect_epol,"Very easy")
{txt}(15 real changes made)

{com}.         replace budsect_epol = "2" if regexm(budsect_epol,"Somewhat easy")
{txt}(5 real changes made)

{com}.         replace budsect_epol = "3" if regexm(budsect_epol,"Somewhat difficult")
{txt}(2 real changes made)

{com}.         replace budsect_epol = "4" if regexm(budsect_epol,"Very difficult")
{txt}(1 real change made)

{com}.         replace budsect_epol = "5" if regexm(budsect_epol,"Not applicable")
{txt}(0 real changes made)

{com}.         replace budsect_epol = "6" if regexm(budsect_epol,"Do not know")
{txt}(0 real changes made)

{com}.         
.         destring budsect_epol, replace
{txt}budsect_epol: all characters numeric; {res}replaced {txt}as {res}byte
{txt}(38 missing values generated)
{res}{txt}
{com}.         lab def budsect_epol 1 "Very easy" 2 "Somewhat easy" 3 "Somewhat difficult" 4 "Very difficult" 5 "Not applicable, this level of government has no spending power" 6 "Do not know / Refuse to answer"
{txt}
{com}.         lab val budsect_epol budsect_epol
{txt}
{com}.         
.         fre budsect_epol
{res}
{txt}budsect_epol {hline 2} Find about budget allocation to sectors (elec. politician)
{txt}{hline 28}{hline 1}{c TT}{hline 44}
{txt}        {txt}                     {c |}      Freq.    Percent      Valid       Cum.
{txt}{hline 28}{hline 1}{c +}{hline 44}
{txt}Valid   1 Very easy          {c |}{res}         15      24.59      65.22      65.22
{txt}        2 Somewhat easy      {c |}{res}          5       8.20      21.74      86.96
{txt}        3 Somewhat difficult {c |}{res}          2       3.28       8.70      95.65
{txt}        4 Very difficult     {c |}{res}          1       1.64       4.35     100.00
{txt}        Total                {c |}{res}         23      37.70     100.00           
{txt}Missing .                    {c |}{res}         38      62.30                      
{txt}Total                        {c |}{res}         61     100.00                      
{txt}{hline 28}{hline 1}{c BT}{hline 44}

{com}.         
.         gen test_budsect_epol = (budsect_epol != .)
{txt}
{com}.         replace test_budsect_epol = . if asked_survey == 0 
{txt}(37 real changes made, 37 to missing)

{com}.         replace test_budsect_epol = . if elecpol_ovrsee == 0
{txt}(1 real change made, 1 to missing)

{com}.         fre test_budsect_epol
{res}
{txt}test_budsect_epol
{txt}{hline 9}{hline 1}{c TT}{hline 44}
{txt}        {txt}  {c |}      Freq.    Percent      Valid       Cum.
{txt}{hline 9}{hline 1}{c +}{hline 44}
{txt}Valid   1 {c |}{res}         23      37.70     100.00     100.00
{txt}Missing . {c |}{res}         38      62.30                      
{txt}Total     {c |}{res}         61     100.00                      
{txt}{hline 9}{hline 1}{c BT}{hline 44}

{com}.         assert inlist(test_budsect_epol,.,1)
{txt}
{com}.         
.         drop test_budsect_epol
{txt}
{com}.         
.         * budsect_apol
.         
.         lab var budsect_apol "Find about budget allocation to sectors (app. politician)"
{txt}
{com}.         
.         fre budsect_apol
{res}
{txt}budsect_apol {hline 2} Find about budget allocation to sectors (app. politician)
{txt}{hline 8}{hline 1}{c TT}{hline 44}
{txt}        {txt} {c |}      Freq.    Percent      Valid       Cum.
{txt}{hline 8}{hline 1}{c +}{hline 44}
{txt}Missing  {c |}{res}         61     100.00                      
{txt}{hline 8}{hline 1}{c BT}{hline 44}

{com}.         
.         replace budsect_apol = "1" if regexm(budsect_apol,"Very easy")
{txt}(0 real changes made)

{com}.         replace budsect_apol = "2" if regexm(budsect_apol,"Somewhat easy")
{txt}(0 real changes made)

{com}.         replace budsect_apol = "3" if regexm(budsect_apol,"Somewhat difficult")
{txt}(0 real changes made)

{com}.         replace budsect_apol = "4" if regexm(budsect_apol,"Very difficult")
{txt}(0 real changes made)

{com}.         replace budsect_apol = "5" if regexm(budsect_apol,"Not applicable")
{txt}(0 real changes made)

{com}.         replace budsect_apol = "6" if regexm(budsect_apol,"Do not know")
{txt}(0 real changes made)

{com}.         
.         destring budsect_apol, replace
{txt}budsect_apol: all characters numeric; {res}replaced {txt}as {res}byte
{txt}(61 missing values generated)
{res}{txt}
{com}.         lab def budsect_apol 1 "Very easy" 2 "Somewhat easy" 3 "Somewhat difficult" 4 "Very difficult" 5 "Not applicable, this level of government has no spending power" 6 "Do not know / Refuse to answer"
{txt}
{com}.         lab val budsect_apol budsect_apol
{txt}
{com}.         
.         fre budsect_apol
{res}
{txt}budsect_apol {hline 2} Find about budget allocation to sectors (app. politician)
{txt}{hline 13}{hline 1}{c TT}{hline 44}
{txt}        {txt}      {c |}      Freq.    Percent      Valid       Cum.
{txt}{hline 13}{hline 1}{c +}{hline 44}
{txt}Missing .     {c |}{res}         61     100.00                      
{txt}{hline 13}{hline 1}{c BT}{hline 44}

{com}.         
.         gen test_budsect_apol = (budsect_apol != .)
{txt}
{com}.         replace test_budsect_apol = . if asked_survey == 0
{txt}(37 real changes made, 37 to missing)

{com}.         replace test_budsect_apol = . if aptpol_d == 0
{txt}(14 real changes made, 14 to missing)

{com}.         replace test_budsect_apol = . if elecpol_ovrsee == 1 
{txt}(10 real changes made, 10 to missing)

{com}.         fre test_budsect_apol
{res}
{txt}test_budsect_apol
{txt}{hline 9}{hline 1}{c TT}{hline 44}
{txt}        {txt}  {c |}      Freq.    Percent      Valid       Cum.
{txt}{hline 9}{hline 1}{c +}{hline 44}
{txt}Missing . {c |}{res}         61     100.00                      
{txt}{hline 9}{hline 1}{c BT}{hline 44}

{com}.         assert inlist(test_budsect_apol,.,1)
{txt}
{com}.         
.         drop test_budsect_apol
{txt}
{com}.         
.         * acinfexp_epol
.         
.         lab var acinfexp_epol "Obtain detailed info about expenditures (elec. politician)"
{txt}
{com}.         
.         fre acinfexp_epol
{res}
{txt}acinfexp_epol {hline 2} Obtain detailed info about expenditures (elec. politician)
{txt}{hline 26}{hline 1}{c TT}{hline 44}
{txt}        {txt}                   {c |}      Freq.    Percent      Valid       Cum.
{txt}{hline 26}{hline 1}{c +}{hline 44}
{txt}Valid   Somewhat difficult {c |}{res}          5       8.20      21.74      21.74
{txt}        Somewhat easy      {c |}{res}          3       4.92      13.04      34.78
{txt}        Very difficult     {c |}{res}          1       1.64       4.35      39.13
{txt}        Very easy          {c |}{res}         14      22.95      60.87     100.00
{txt}        Total              {c |}{res}         23      37.70     100.00           
{txt}Missing                    {c |}{res}         38      62.30                      
{txt}Total                      {c |}{res}         61     100.00                      
{txt}{hline 26}{hline 1}{c BT}{hline 44}

{com}.         
.         replace acinfexp_epol = "1" if regexm(acinfexp_epol,"Very easy")
{txt}(14 real changes made)

{com}.         replace acinfexp_epol = "2" if regexm(acinfexp_epol,"Somewhat easy")
{txt}(3 real changes made)

{com}.         replace acinfexp_epol = "3" if regexm(acinfexp_epol,"Somewhat difficult")
{txt}(5 real changes made)

{com}.         replace acinfexp_epol = "4" if regexm(acinfexp_epol,"Very difficult")
{txt}(1 real change made)

{com}.         replace acinfexp_epol = "5" if regexm(acinfexp_epol,"Not applicable")
{txt}(0 real changes made)

{com}.         replace acinfexp_epol = "6" if regexm(acinfexp_epol,"Do not know")
{txt}(0 real changes made)

{com}.         
.         destring acinfexp_epol, replace
{txt}acinfexp_epol: all characters numeric; {res}replaced {txt}as {res}byte
{txt}(38 missing values generated)
{res}{txt}
{com}.         lab def acinfexp_epol 1 "Very easy" 2 "Somewhat easy" 3 "Somewhat difficult" 4 "Very difficult" 5 "Not applicable, this level of government has no spending power" 6 "Do not know / Refuse to answer"
{txt}
{com}.         lab val acinfexp_epol acinfexp_epol
{txt}
{com}.         
.         fre acinfexp_epol
{res}
{txt}acinfexp_epol {hline 2} Obtain detailed info about expenditures (elec. politician)
{txt}{hline 28}{hline 1}{c TT}{hline 44}
{txt}        {txt}                     {c |}      Freq.    Percent      Valid       Cum.
{txt}{hline 28}{hline 1}{c +}{hline 44}
{txt}Valid   1 Very easy          {c |}{res}         14      22.95      60.87      60.87
{txt}        2 Somewhat easy      {c |}{res}          3       4.92      13.04      73.91
{txt}        3 Somewhat difficult {c |}{res}          5       8.20      21.74      95.65
{txt}        4 Very difficult     {c |}{res}          1       1.64       4.35     100.00
{txt}        Total                {c |}{res}         23      37.70     100.00           
{txt}Missing .                    {c |}{res}         38      62.30                      
{txt}Total                        {c |}{res}         61     100.00                      
{txt}{hline 28}{hline 1}{c BT}{hline 44}

{com}.         
.         gen test_acinfexp_epol = (acinfexp_epol != .)
{txt}
{com}.         replace test_acinfexp_epol = . if asked_survey == 0 
{txt}(37 real changes made, 37 to missing)

{com}.         replace test_acinfexp_epol = . if elecpol_ovrsee == 0
{txt}(1 real change made, 1 to missing)

{com}.         fre test_acinfexp_epol
{res}
{txt}test_acinfexp_epol
{txt}{hline 9}{hline 1}{c TT}{hline 44}
{txt}        {txt}  {c |}      Freq.    Percent      Valid       Cum.
{txt}{hline 9}{hline 1}{c +}{hline 44}
{txt}Valid   1 {c |}{res}         23      37.70     100.00     100.00
{txt}Missing . {c |}{res}         38      62.30                      
{txt}Total     {c |}{res}         61     100.00                      
{txt}{hline 9}{hline 1}{c BT}{hline 44}

{com}.         assert inlist(test_acinfexp_epol,.,1)
{txt}
{com}.         
.         drop test_acinfexp_epol
{txt}
{com}.         
.         * acinfexp_apol
.         
.         lab var acinfexp_apol "Obtain detailed info about expenditures (app. politician)"
{txt}
{com}.         
.         fre acinfexp_apol
{res}
{txt}acinfexp_apol {hline 2} Obtain detailed info about expenditures (app. politician)
{txt}{hline 8}{hline 1}{c TT}{hline 44}
{txt}        {txt} {c |}      Freq.    Percent      Valid       Cum.
{txt}{hline 8}{hline 1}{c +}{hline 44}
{txt}Missing  {c |}{res}         61     100.00                      
{txt}{hline 8}{hline 1}{c BT}{hline 44}

{com}.         
.         replace acinfexp_apol = "1" if regexm(acinfexp_apol,"Very easy")
{txt}(0 real changes made)

{com}.         replace acinfexp_apol = "2" if regexm(acinfexp_apol,"Somewhat easy")
{txt}(0 real changes made)

{com}.         replace acinfexp_apol = "3" if regexm(acinfexp_apol,"Somewhat difficult")
{txt}(0 real changes made)

{com}.         replace acinfexp_apol = "4" if regexm(acinfexp_apol,"Very difficult")
{txt}(0 real changes made)

{com}.         replace acinfexp_apol = "5" if regexm(acinfexp_apol,"Not applicable")
{txt}(0 real changes made)

{com}.         replace acinfexp_apol = "6" if regexm(acinfexp_apol,"Do not know")
{txt}(0 real changes made)

{com}.         
.         destring acinfexp_apol, replace
{txt}acinfexp_apol: all characters numeric; {res}replaced {txt}as {res}byte
{txt}(61 missing values generated)
{res}{txt}
{com}.         lab def acinfexp_apol 1 "Very easy" 2 "Somewhat easy" 3 "Somewhat difficult" 4 "Very difficult" 5 "Not applicable, this level of government has no spending power" 6 "Do not know / Refuse to answer"
{txt}
{com}.         lab val acinfexp_apol acinfexp_apol
{txt}
{com}.         
.         fre acinfexp_apol
{res}
{txt}acinfexp_apol {hline 2} Obtain detailed info about expenditures (app. politician)
{txt}{hline 13}{hline 1}{c TT}{hline 44}
{txt}        {txt}      {c |}      Freq.    Percent      Valid       Cum.
{txt}{hline 13}{hline 1}{c +}{hline 44}
{txt}Missing .     {c |}{res}         61     100.00                      
{txt}{hline 13}{hline 1}{c BT}{hline 44}

{com}.         
.         gen test_acinfexp_apol = (acinfexp_apol != .)
{txt}
{com}.         replace test_acinfexp_apol = . if asked_survey == 0
{txt}(37 real changes made, 37 to missing)

{com}.         replace test_acinfexp_apol = . if aptpol_d == 0
{txt}(14 real changes made, 14 to missing)

{com}.         replace test_acinfexp_apol = . if elecpol_ovrsee == 1 
{txt}(10 real changes made, 10 to missing)

{com}.         fre test_acinfexp_apol
{res}
{txt}test_acinfexp_apol
{txt}{hline 9}{hline 1}{c TT}{hline 44}
{txt}        {txt}  {c |}      Freq.    Percent      Valid       Cum.
{txt}{hline 9}{hline 1}{c +}{hline 44}
{txt}Missing . {c |}{res}         61     100.00                      
{txt}{hline 9}{hline 1}{c BT}{hline 44}

{com}.         assert inlist(test_acinfexp_apol,.,1)
{txt}
{com}.         
.         drop test_acinfexp_apol
{txt}
{com}.         
.         * understand_epol
.         
.         lab var understand_epol "Has capacity to read/understand budget (elec. politician)"
{txt}
{com}.         
.         fre understand_epol
{res}
{txt}understand_epol {hline 2} Has capacity to read/understand budget (elec. politician)
{txt}{hline 28}{hline 1}{c TT}{hline 44}
{txt}        {txt}                     {c |}      Freq.    Percent      Valid       Cum.
{txt}{hline 28}{hline 1}{c +}{hline 44}
{txt}Valid   Definitely capable   {c |}{res}          1       1.64       5.26       5.26
{txt}        Only with difficulty {c |}{res}          2       3.28      10.53      15.79
{txt}        Somewhat capable     {c |}{res}          9      14.75      47.37      63.16
{txt}        Definitely capable   {c |}{res}          2       3.28      10.53      73.68
{txt}        Only with difficulty {c |}{res}          1       1.64       5.26      78.95
{txt}        Somewhat capable     {c |}{res}          4       6.56      21.05     100.00
{txt}        Total                {c |}{res}         19      31.15     100.00           
{txt}Missing                      {c |}{res}         42      68.85                      
{txt}Total                        {c |}{res}         61     100.00                      
{txt}{hline 28}{hline 1}{c BT}{hline 44}

{com}.         
.         replace understand_epol = "1" if regexm(understand_epol,"Definitely capable")
{txt}(3 real changes made)

{com}.         replace understand_epol = "2" if regexm(understand_epol,"Somewhat capable")
{txt}(13 real changes made)

{com}.         replace understand_epol = "3" if regexm(understand_epol,"Only with difficulty")
{txt}(3 real changes made)

{com}.         replace understand_epol = "4" if regexm(understand_epol,"Not capable")
{txt}(0 real changes made)

{com}.         replace understand_epol = "5" if regexm(understand_epol,"Do not know")
{txt}(0 real changes made)

{com}.         
.         fre understand_epol
{res}
{txt}understand_epol {hline 2} Has capacity to read/understand budget (elec. politician)
{txt}{hline 13}{hline 1}{c TT}{hline 44}
{txt}        {txt}      {c |}      Freq.    Percent      Valid       Cum.
{txt}{hline 13}{hline 1}{c +}{hline 44}
{txt}Valid   1     {c |}{res}          3       4.92      15.79      15.79
{txt}        2     {c |}{res}         13      21.31      68.42      84.21
{txt}        3     {c |}{res}          3       4.92      15.79     100.00
{txt}        Total {c |}{res}         19      31.15     100.00           
{txt}Missing       {c |}{res}         42      68.85                      
{txt}Total         {c |}{res}         61     100.00                      
{txt}{hline 13}{hline 1}{c BT}{hline 44}

{com}.         
.         destring understand_epol, replace
{txt}understand_epol: all characters numeric; {res}replaced {txt}as {res}byte
{txt}(42 missing values generated)
{res}{txt}
{com}.         lab def understand_epol 1 "Definitely capable" 2 "Somewhat capable" 3 "Only with difficulty" 4 "Not capable" 5 "Do not know / Refuse to answer"
{txt}
{com}.         lab val understand_epol understand_epol
{txt}
{com}.         
.         fre understand_epol
{res}
{txt}understand_epol {hline 2} Has capacity to read/understand budget (elec. politician)
{txt}{hline 30}{hline 1}{c TT}{hline 44}
{txt}        {txt}                       {c |}      Freq.    Percent      Valid       Cum.
{txt}{hline 30}{hline 1}{c +}{hline 44}
{txt}Valid   1 Definitely capable   {c |}{res}          3       4.92      15.79      15.79
{txt}        2 Somewhat capable     {c |}{res}         13      21.31      68.42      84.21
{txt}        3 Only with difficulty {c |}{res}          3       4.92      15.79     100.00
{txt}        Total                  {c |}{res}         19      31.15     100.00           
{txt}Missing .                      {c |}{res}         42      68.85                      
{txt}Total                          {c |}{res}         61     100.00                      
{txt}{hline 30}{hline 1}{c BT}{hline 44}

{com}.         
.         gen test_understand_epol = (understand_epol != .)
{txt}
{com}.         replace test_understand_epol = . if asked_survey == 0 
{txt}(37 real changes made, 37 to missing)

{com}.         replace test_understand_epol = . if elecpol_ovrsee == 0
{txt}(1 real change made, 1 to missing)

{com}.         fre test_understand_epol
{res}
{txt}test_understand_epol
{txt}{hline 13}{hline 1}{c TT}{hline 44}
{txt}        {txt}      {c |}      Freq.    Percent      Valid       Cum.
{txt}{hline 13}{hline 1}{c +}{hline 44}
{txt}Valid   0     {c |}{res}          4       6.56      17.39      17.39
{txt}        1     {c |}{res}         19      31.15      82.61     100.00
{txt}        Total {c |}{res}         23      37.70     100.00           
{txt}Missing .     {c |}{res}         38      62.30                      
{txt}Total         {c |}{res}         61     100.00                      
{txt}{hline 13}{hline 1}{c BT}{hline 44}

{com}.         *assert inlist(test_understand_epol,.,1)
.         
.         *drop test_understand_epol
.         
.         * understand_apol
.         
.         lab var understand_apol "Has capacity to read/understand budget (app. politician)"
{txt}
{com}.         
.         fre understand_apol
{res}
{txt}understand_apol {hline 2} Has capacity to read/understand budget (app. politician)
{txt}{hline 28}{hline 1}{c TT}{hline 44}
{txt}        {txt}                     {c |}      Freq.    Percent      Valid       Cum.
{txt}{hline 28}{hline 1}{c +}{hline 44}
{txt}Valid   Definitely capable   {c |}{res}          1       1.64      50.00      50.00
{txt}        Only with difficulty {c |}{res}          1       1.64      50.00     100.00
{txt}        Total                {c |}{res}          2       3.28     100.00           
{txt}Missing                      {c |}{res}         59      96.72                      
{txt}Total                        {c |}{res}         61     100.00                      
{txt}{hline 28}{hline 1}{c BT}{hline 44}

{com}.         
.         replace understand_apol = "1" if regexm(understand_apol,"Definitely capable")
{txt}(1 real change made)

{com}.         replace understand_apol = "2" if regexm(understand_apol,"Somewhat capable")
{txt}(0 real changes made)

{com}.         replace understand_apol = "3" if regexm(understand_apol,"Only with difficulty")
{txt}(1 real change made)

{com}.         replace understand_apol = "4" if regexm(understand_apol,"Not capable")
{txt}(0 real changes made)

{com}.         replace understand_apol = "5" if regexm(understand_apol,"Do not know")
{txt}(0 real changes made)

{com}.         
.         destring understand_apol, replace
{txt}understand_apol: all characters numeric; {res}replaced {txt}as {res}byte
{txt}(59 missing values generated)
{res}{txt}
{com}.         lab def understand_apol 1 "Definitely capable" 2 "Somewhat capable" 3 "Only with difficulty" 4 "Not capable" 5 "Do not know / Refuse to answer"
{txt}
{com}.         lab val understand_apol understand_apol
{txt}
{com}.         
.         fre understand_apol
{res}
{txt}understand_apol {hline 2} Has capacity to read/understand budget (app. politician)
{txt}{hline 30}{hline 1}{c TT}{hline 44}
{txt}        {txt}                       {c |}      Freq.    Percent      Valid       Cum.
{txt}{hline 30}{hline 1}{c +}{hline 44}
{txt}Valid   1 Definitely capable   {c |}{res}          1       1.64      50.00      50.00
{txt}        3 Only with difficulty {c |}{res}          1       1.64      50.00     100.00
{txt}        Total                  {c |}{res}          2       3.28     100.00           
{txt}Missing .                      {c |}{res}         59      96.72                      
{txt}Total                          {c |}{res}         61     100.00                      
{txt}{hline 30}{hline 1}{c BT}{hline 44}

{com}.         
.         gen test_understand_apol = (understand_apol != .)
{txt}
{com}.         replace test_understand_apol = . if asked_survey == 0
{txt}(37 real changes made, 37 to missing)

{com}.         replace test_understand_apol = . if aptpol_d == 0
{txt}(14 real changes made, 14 to missing)

{com}.         replace test_understand_apol = . if elecpol_ovrsee == 1 
{txt}(10 real changes made, 10 to missing)

{com}.         fre test_understand_apol
{res}
{txt}test_understand_apol
{txt}{hline 9}{hline 1}{c TT}{hline 44}
{txt}        {txt}  {c |}      Freq.    Percent      Valid       Cum.
{txt}{hline 9}{hline 1}{c +}{hline 44}
{txt}Missing . {c |}{res}         61     100.00                      
{txt}{hline 9}{hline 1}{c BT}{hline 44}

{com}.         assert inlist(test_understand_apol,.,1)
{txt}
{com}.         
.         drop test_understand_apol
{txt}
{com}.         
.         * acttake_epol
.         
.         lab var acttake_epol "Elec. pol not satisfied with head bureaucrat, which action"
{txt}
{com}.         fre acttake_epol
{res}
{txt}acttake_epol {hline 2} Elec. pol not satisfied with head bureaucrat, which action
{txt}{hline 58}{hline 1}{c TT}{hline 44}
{txt}        {txt}                                                   {c |}      Freq.    Percent      Valid       Cum.
{txt}{hline 58}{hline 1}{c +}{hline 44}
{txt}Valid   Complain to the ministry / higher-up bureaucrats   {c |}{res}          2       3.28       8.70       8.70
{txt}        Complain to the ministry / higher-up               {c |}{res}          1       1.64       4.35      13.04
{txt}        bureaucrats,Complain to higher-level politicians   {c |}{res}                                            
{txt}        Issue a formal warning                             {c |}{res}          1       1.64       4.35      17.39
{txt}        Issue a formal warning,Complain to the ministry /  {c |}{res}          2       3.28       8.70      26.09
{txt}        higher-up bureaucrats,Complain to higher-level     {c |}{res}                                            
{txt}        politicians                                        {c |}{res}                                            
{txt}        Other (please specify)                             {c |}{res}          2       3.28       8.70      34.78
{txt}        Request a transfer with high probability of        {c |}{res}          2       3.28       8.70      43.48
{txt}        success                                            {c |}{res}                                            
{txt}        Request a transfer with high probability of        {c |}{res}          1       1.64       4.35      47.83
{txt}        success,Issue a formal warning,Complain to the     {c |}{res}                                            
{txt}        ministry / higher-up bureaucrats                   {c |}{res}                                            
{txt}        Request a transfer with low probability of success {c |}{res}          1       1.64       4.35      52.17
{txt}        Request a transfer with low probability of         {c |}{res}          1       1.64       4.35      56.52
{txt}        success,Complain to the ministry / higher-up       {c |}{res}                                            
{txt}        bureaucrats,Bring the issue to the attention of    {c |}{res}                                            
{txt}        the media,Mobilize citizens                        {c |}{res}                                            
{txt}        Request a transfer with medium probability of      {c |}{res}          2       3.28       8.70      65.22
{txt}        success                                            {c |}{res}                                            
{txt}        Request a transfer with medium probability of      {c |}{res}          1       1.64       4.35      69.57
{txt}        success,Issue a formal warning,Complain to the     {c |}{res}                                            
{txt}        ministry / higher-up bureaucrats,Complain to       {c |}{res}                                            
{txt}        higher-level politicians                           {c |}{res}                                            
{txt}        Terminate contract/fire bureaucrat                 {c |}{res}          1       1.64       4.35      73.91
{txt}        Terminate contract/fire bureaucrat,Transfer the    {c |}{res}          3       4.92      13.04      86.96
{txt}        bureaucrat,Issue a formal warning,Bring the issue  {c |}{res}                                            
{txt}        to the attention of the media                      {c |}{res}                                            
{txt}        Transfer the bureaucrat                            {c |}{res}          1       1.64       4.35      91.30
{txt}        Transfer the bureaucrat,Other (please specify)     {c |}{res}          2       3.28       8.70     100.00
{txt}        Total                                              {c |}{res}         23      37.70     100.00           
{txt}Missing                                                    {c |}{res}         38      62.30                      
{txt}Total                                                      {c |}{res}         61     100.00                      
{txt}{hline 58}{hline 1}{c BT}{hline 44}

{com}.         
.         replace acttake_epol = subinstr(acttake_epol,","," ",.)
{txt}(11 real changes made)

{com}.         replace acttake_epol = subinstr(acttake_epol,"Terminate contract/fire bureaucrat","1",.)
{txt}(4 real changes made)

{com}.         replace acttake_epol = subinstr(acttake_epol,"Transfer the bureaucrat","2",.)
{txt}(6 real changes made)

{com}.         replace acttake_epol = subinstr(acttake_epol,"Request a transfer with high probability of success","3",.)
{txt}(3 real changes made)

{com}.         replace acttake_epol = subinstr(acttake_epol,"Request a transfer with medium probability of success","4",.)
{txt}(3 real changes made)

{com}.         replace acttake_epol = subinstr(acttake_epol,"Request a transfer with low probability of success","5",.)
{txt}(2 real changes made)

{com}.         replace acttake_epol = subinstr(acttake_epol,"Issue a formal warning","6",.)
{txt}(8 real changes made)

{com}.         replace acttake_epol = subinstr(acttake_epol,"Complain to the ministry / higher-up bureaucrats","7",.)
{txt}(8 real changes made)

{com}.         replace acttake_epol = subinstr(acttake_epol,"Complain to higher-level politicians","8",.)
{txt}(4 real changes made)

{com}.         replace acttake_epol = subinstr(acttake_epol,"Bring the issue to the attention of the media","9",.)
{txt}(4 real changes made)

{com}.         replace acttake_epol = subinstr(acttake_epol,"Mobilize citizens","10",.)
{txt}(1 real change made)

{com}.         replace acttake_epol = subinstr(acttake_epol,"Other (please specify)","11",.)
{txt}(4 real changes made)

{com}.         replace acttake_epol = subinstr(acttake_epol,"None","12",.)
{txt}(0 real changes made)

{com}.         replace acttake_epol = subinstr(acttake_epol,"Do not know / Refuse to answer","98",.)
{txt}(0 real changes made)

{com}.         
.         forvalues x = 12/1 {c -(}
{txt}  2{com}.         
.                 gen acttake_epol_d_`x' = .
{txt}  3{com}.                 replace acttake_epol_d_`x' = 0 if acttake_epol != ""
{txt}  4{com}.                 replace acttake_epol_d_`x' = 1 if regexm(acttake_epol == "`x'")
{txt}  5{com}.                 lab def acttake_epol_d_`x' 0 "No" 1 "Yes"
{txt}  6{com}.                 lab val acttake_epol_d_`x' acttake_epol_d_`x'
{txt}  7{com}.                 order acttake_epol_d_`x', after(acttake_epol)
{txt}  8{com}.                 {c )-}
{txt}
{com}.                 
.                 
.         fre acttake_epol
{res}
{txt}acttake_epol {hline 2} Elec. pol not satisfied with head bureaucrat, which action
{txt}{hline 16}{hline 1}{c TT}{hline 44}
{txt}        {txt}         {c |}      Freq.    Percent      Valid       Cum.
{txt}{hline 16}{hline 1}{c +}{hline 44}
{txt}Valid   1        {c |}{res}          1       1.64       4.35       4.35
{txt}        1 2 6 9  {c |}{res}          3       4.92      13.04      17.39
{txt}        11       {c |}{res}          2       3.28       8.70      26.09
{txt}        2        {c |}{res}          1       1.64       4.35      30.43
{txt}        2 11     {c |}{res}          2       3.28       8.70      39.13
{txt}        3        {c |}{res}          2       3.28       8.70      47.83
{txt}        3 6 7    {c |}{res}          1       1.64       4.35      52.17
{txt}        4        {c |}{res}          2       3.28       8.70      60.87
{txt}        4 6 7 8  {c |}{res}          1       1.64       4.35      65.22
{txt}        5        {c |}{res}          1       1.64       4.35      69.57
{txt}        5 7 9 10 {c |}{res}          1       1.64       4.35      73.91
{txt}        6        {c |}{res}          1       1.64       4.35      78.26
{txt}        6 7 8    {c |}{res}          2       3.28       8.70      86.96
{txt}        7        {c |}{res}          2       3.28       8.70      95.65
{txt}        7 8      {c |}{res}          1       1.64       4.35     100.00
{txt}        Total    {c |}{res}         23      37.70     100.00           
{txt}Missing          {c |}{res}         38      62.30                      
{txt}Total            {c |}{res}         61     100.00                      
{txt}{hline 16}{hline 1}{c BT}{hline 44}

{com}.         
.         e

{txt}end of do-file


{com}. do "/var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//SD44938.000000"
{txt}
{com}. 
.         * Purpose: Importing data to run HFC
.         
.         * Setting up globals
.         
.         if "`c(username)'" == "fredericcochinard" {c -(}
.                 
.                 global import_folder "/Users/fredericcochinard/Dropbox/Expert survey/Data/0.survey_dataset/0.import"
.                 global output "/Users/fredericcochinard/Dropbox/Expert survey/Data/0.survey_dataset/1.output"
.                 
.                 {c )-}
{txt}
{com}.                 
.         if "`c(username)'" == "" {c -(}
.         
.                 
.                 {c )-}
{txt}
{com}.         
.         * Looking for renaming folder with problem
.         
.         local myfiles: dir "$import_folder" files "*.xlsx"
{txt}
{com}. 
.         foreach file of local myfiles {c -(}
{txt}  2{com}.                 
.                 local subfile = substr("`file'", 1, .)
{txt}  3{com}.                 local subfile : subinstr local subfile " " "_", all
{txt}  4{com}.                 ! mv "${c -(}import_folder{c )-}/`file'" "${c -(}import_folder{c )-}/`subfile'"
{txt}  5{com}.                 
.                 {c )-}
{txt}

{com}.         
.         * Looking for dataset
.         
.         filelist , dir("$import_folder") pat("*.xlsx")
{res}{txt}Number of files found = {res}1
{txt}
{com}.         
.         gen url = filename
{txt}
{com}.         
.         levelsof url
{txt}`"Expert_survey_February_18,_2025_16.23.xlsx"'

{com}. 
.         local lvlfiles `r(levels)'
{txt}
{com}.         
.         local z = 0
{txt}
{com}.         
.         foreach lvl of local lvlfiles {c -(}
{txt}  2{com}.         
.                 local z = `z' + 1
{txt}  3{com}.                 
.                 local temp : subinstr local lvl `"""' "", all
{txt}  4{com}.                 local url : subinstr local temp "'" "", all
{txt}  5{com}.         
.                 import excel "${c -(}import_folder{c )-}/`url'", first case(lower) clear
{txt}  6{com}.                 
.                 gen num = _n
{txt}  7{com}.                 drop if num == 1
{txt}  8{com}.                 
.                 * Preparing the append
.                 
.                 tempfile data`z'
{txt}  9{com}.                 sa "`data`z''"
{txt} 10{com}.                 
.                 {c )-}
{res}{txt}(1 observation deleted)
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.000001 saved

{com}.                 
.         * We append the dataset to start cleaning
.         
.         use "`data1'", clear
{txt}
{com}.         
.         forvalues x = 2/`z' {c -(}
{txt}  2{com}.         
.                 append using "`data`x''"
{txt}  3{com}.                 
.                 {c )-}
{txt}
{com}.                 
.         duplicates drop

{p 0 4}{txt}Duplicates in terms of {txt} all variables{p_end}

(0 observations are duplicates)

{com}.         
.         * We keep relevant variable
.         drop if recipientemail == "frederic.cochinard@gmail.com"
{txt}(8 observations deleted)

{com}.         drop if recipientemail == "vedpant+spanish@college.harvard.edu"
{txt}(1 observation deleted)

{com}.         drop if recipientemail == "frederic.cochinard+3@gmail.com"
{txt}(1 observation deleted)

{com}.         drop if recipientemail == "frederic.cochinard+1@gmail.com"
{txt}(1 observation deleted)

{com}.         
.         * We remove observation that are not finished
.         drop if finished == "False"
{txt}(9 observations deleted)

{com}.         
.         * We create a save
.         
.         tempfile save_data
{txt}
{com}.         sa "`save_data'"
{txt}file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.000002 saved

{com}.         
.         ******************
.         * Payment module *
.         ******************
.         
.         preserve
{txt}
{com}.         
.         keep responseid method_pay_bank_in_q-q977
{txt}
{com}.         compress
  {txt}variable {bf}method_pay_bank_in_q{sf} was {bf}{res}str237{sf}{txt} now {bf}{res}str24{sf}
  {txt}variable {bf}expert_donation_org{sf} was {bf}{res}str129{sf}{txt} now {bf}{res}str23{sf}
  {txt}variable {bf}q967{sf} was {bf}{res}str236{sf}{txt} now {bf}{res}str65{sf}
  {txt}variable {bf}q978{sf} was {bf}{res}str326{sf}{txt} now {bf}{res}str16{sf}
  {txt}variable {bf}q979{sf} was {bf}{res}str104{sf}{txt} now {bf}{res}str39{sf}
  {txt}variable {bf}q980{sf} was {bf}{res}str95{sf}{txt} now {bf}{res}str11{sf}
  {txt}variable {bf}q987{sf} was {bf}{res}str170{sf}{txt} now {bf}{res}str24{sf}
  {txt}variable {bf}q984{sf} was {bf}{res}str326{sf}{txt} now {bf}{res}str1{sf}
  {txt}variable {bf}q985{sf} was {bf}{res}str104{sf}{txt} now {bf}{res}str1{sf}
  {txt}variable {bf}q986{sf} was {bf}{res}str95{sf}{txt} now {bf}{res}str1{sf}
  {txt}variable {bf}q988{sf} was {bf}{res}str170{sf}{txt} now {bf}{res}str1{sf}
  {txt}variable {bf}q989{sf} was {bf}{res}str559{sf}{txt} now {bf}{res}str1{sf}
  {txt}variable {bf}q990{sf} was {bf}{res}str102{sf}{txt} now {bf}{res}str1{sf}
  {txt}variable {bf}q991{sf} was {bf}{res}str93{sf}{txt} now {bf}{res}str1{sf}
  {txt}variable {bf}q992{sf} was {bf}{res}str170{sf}{txt} now {bf}{res}str1{sf}
  {txt}variable {bf}q998{sf} was {bf}{res}str537{sf}{txt} now {bf}{res}str1{sf}
  {txt}variable {bf}q997{sf} was {bf}{res}str105{sf}{txt} now {bf}{res}str1{sf}
  {txt}variable {bf}q999{sf} was {bf}{res}str104{sf}{txt} now {bf}{res}str1{sf}
  {txt}variable {bf}q1000{sf} was {bf}{res}str95{sf}{txt} now {bf}{res}str1{sf}
  {txt}variable {bf}q1001{sf} was {bf}{res}str170{sf}{txt} now {bf}{res}str1{sf}
  {txt}variable {bf}q977{sf} was {bf}{res}str502{sf}{txt} now {bf}{res}str23{sf}
{txt}  (46,101 bytes saved)

{com}.         
.         * Donate_d
.         
.         gen donate_d = 0
{txt}
{com}.         replace donate_d = 1 if method_pay_bank_in_q == "I prefer to donate"
{txt}(3 real changes made)

{com}.         
.         * Special case
.         replace donate_d = 1 if responseid == "R_4ouc7tR6BFj3gpb" // respondent is refusing to take money in comments
{txt}(1 real change made)

{com}.         replace donate_d = 1 if responseid == "R_4Iow7YzsoT2KTOx" // respondent is writing cancel in comments
{txt}(1 real change made)

{com}.         
.         lab var donate_d "Respondent decided to donate"
{txt}
{com}.         lab def donate_d 0 "No" 1 "Yes"
{txt}
{com}.         lab val donate_d donate_d
{txt}
{com}.         order donate_d, after(responseid)
{txt}
{com}.         
.         * Org
.         
.         gen org_donation_id = "" 
{txt}(11 missing values generated)

{com}.         replace org_donation_id = expert_donation_org if donate_d == 1
{txt}variable {bf}org_donation_id{sf} was {bf}{res}str1{sf}{txt} now {bf}{res}str23{sf}
{txt}(3 real changes made)

{com}.         replace org_donation_id = "No choice" if donate_d == 1 & org_donation_id == ""
{txt}(2 real changes made)

{com}.         lab var org_donation_id "Name of the organization the respondent chose to donate"
{txt}
{com}.         order org_donation_id, after(donate_d)
{txt}
{com}.         
.         * Paid status
.         
.         gen paid_status = 0
{txt}
{com}.         replace paid_status = 2 if donate_d == 1
{txt}(5 real changes made)

{com}.         
.         * Case of payment
.         
.         lab var paid_status "Status of payment of the respondent"
{txt}
{com}.         lab def paid_status 0 "Not yet" 1 "Yes" 2 "Donation"
{txt}
{com}.         lab val paid_status paid_status
{txt}
{com}.         order paid_status, after(org_donation_id)
{txt}
{com}.         
.         keep responseid donate_d org_donation_id paid_status
{txt}
{com}.         
.         tempfile payment_module
{txt}
{com}.         sa "`payment_module'"
{txt}file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.000004 saved

{com}.         
.         restore
{txt}
{com}.         
.         * Main form of survey 
.         keep country full_name recipientemail responseid progress durationinseconds finished userlanguage num_unit confirmation_* ///
>         title_bur* elecpol_ovrsee* title_elecpol* aptpol_d* title_aptpol* who_aptpol* mostinf_servdel* educ_elecpolbur* ///
>         educ_apolbur* slry_elecpolbur* slry_apolbur* fdout_epol_bgt* fdout_apol_bgt* budsect_epol* budsect_apol* acinfexp_epol* /// 
>         acinfexp_apol* understand_epol* understand_apol* acttake_epol* acttake_epol* acttake_apol* acttake_apol* likely* why_likchan* /// 
>         who_apt_bur* who_apt_bur* who_fir_bur* who_fir_bur* ocap_epol* ocap_apol* prio_epol* prio_apol* overall_conf* avg_educ_epol* ///
>         avg_educ_apol* avg_educ_buro* avg_slry_epol* avg_slry_apol* avg_slry_buro* //
{txt}
{com}.         
.         destring durationinseconds progress, replace
{txt}durationinseconds: all characters numeric; {res}replaced {txt}as {res}int
{txt}progress: all characters numeric; {res}replaced {txt}as {res}byte
{txt}
{com}.         replace durationinseconds = round(durationinseconds/60)
{txt}(11 real changes made)

{com}.         ren durationinseconds duration_minutes
{res}{txt}
{com}. 
.         *--
.         
.         local id country full_name recipientemail responseid userlanguage num_unit finished progress duration_minutes
{txt}
{com}.         
.         order `id', first
{txt}
{com}.         duplicates drop `id', force

{p 0 4}{txt}Duplicates in terms of {res} country full_name recipientemail responseid userlanguage num_unit finished progress duration_minutes{p_end}

{txt}(0 observations are duplicates)

{com}.         
.         * Renaming others
.         
.         forvalues x = 1/3 {c -(}
{txt}  2{com}.                 
.                 forvalues y = 1/6 {c -(} 
{txt}  3{com}.                 
.                         cap ren who_apt_bur_`x'_`y'_8_text who_apt_buroth_`x'_`y'
{txt}  4{com}.                         cap ren who_fir_bur_`x'_`y'_8_text who_fir_buroth_`x'_`y'
{txt}  5{com}.                         cap ren acttake_epol_`x'_`y'_9_text acttake_epoloth_`x'_`y'
{txt}  6{com}.                         cap ren acttake_apol_`x'_`y'_9_text acttake_apoloth_`x'_`y'
{txt}  7{com}.                         
.                         {c )-}
{txt}  8{com}.                         
.                 {c )-}
{txt}
{com}.         
.         #delimit ;
{txt}delimiter now ;
{com}.         local var confirmation
>         title_bur 
>         elecpol_ovrsee
>         title_elecpol
>         aptpol_d
>         title_aptpol
>         who_aptpol
>         mostinf_servdel
>         educ_elecpolbur
>         educ_apolbur
>         slry_elecpolbur
>         slry_apolbur
>         fdout_epol_bgt
>         fdout_apol_bgt
>         budsect_epol
>         budsect_apol
>         acinfexp_epol
>         acinfexp_apol
>         understand_epol
>         understand_apol
>         acttake_epol
>         acttake_epoloth
>         acttake_apol
>         acttake_apoloth
>         likely
>         why_likchan
>         who_apt_bur
>         who_apt_buroth
>         who_fir_bur
>         who_fir_buroth
>         ocap_epol
>         ocap_apol
>         prio_epol
>         prio_apol
>         overall_conf
>         avg_educ_epol
>         avg_educ_apol
>         avg_educ_buro
>         avg_slry_epol
>         avg_slry_apol
>         avg_slry_buro
>         
>         ;
{txt}
{com}.                 #delimit cr
{txt}delimiter now cr
{com}. 
.         reshape long `var', i(`id') j(pos) s
{txt}(note: j = _1_1 _1_4 _1_5 _1_6 _2_1 _2_2 _2_4 _2_5 _2_6 _3_1 _3_2 _3_3 _3_4 _3_5 _3_6)
(note: confirmation_1_4 not found)
(note: confirmation_1_5 not found)
(note: confirmation_1_6 not found)
(note: confirmation_2_4 not found)
(note: confirmation_2_5 not found)
(note: confirmation_2_6 not found)
(note: confirmation_3_4 not found)
(note: confirmation_3_5 not found)
(note: confirmation_3_6 not found)

Data{col 36}wide{col 43}->{col 48}long
{hline 77}
Number of obs.                 {res}      11   {txt}->{res}     165
{txt}Number of variables            {res}     615   {txt}->{res}      51
{txt}j variable (15 values)                    ->   {res}pos
{txt}xij variables:
{res}confirmation_1_1 confirmation_1_4 ... confirmation_3_6{txt}->{res}confirmation
title_bur_1_1 title_bur_1_4 ... title_bur_3_6{txt}->{res}title_bur
elecpol_ovrsee_1_1 elecpol_ovrsee_1_4 ... elecpol_ovrsee_3_6{txt}->{res}elecpol_ovrsee
title_elecpol_1_1 title_elecpol_1_4 ... title_elecpol_3_6{txt}->{res}title_elecpol
aptpol_d_1_1 aptpol_d_1_4 ... aptpol_d_3_6{txt}->   {res}aptpol_d
title_aptpol_1_1 title_aptpol_1_4 ... title_aptpol_3_6{txt}->{res}title_aptpol
who_aptpol_1_1 who_aptpol_1_4 ... who_aptpol_3_6{txt}->{res}who_aptpol
mostinf_servdel_1_1 mostinf_servdel_1_4 ... mostinf_servdel_3_6{txt}->{res}mostinf_servdel
educ_elecpolbur_1_1 educ_elecpolbur_1_4 ... educ_elecpolbur_3_6{txt}->{res}educ_elecpolbur
educ_apolbur_1_1 educ_apolbur_1_4 ... educ_apolbur_3_6{txt}->{res}educ_apolbur
slry_elecpolbur_1_1 slry_elecpolbur_1_4 ... slry_elecpolbur_3_6{txt}->{res}slry_elecpolbur
slry_apolbur_1_1 slry_apolbur_1_4 ... slry_apolbur_3_6{txt}->{res}slry_apolbur
fdout_epol_bgt_1_1 fdout_epol_bgt_1_4 ... fdout_epol_bgt_3_6{txt}->{res}fdout_epol_bgt
fdout_apol_bgt_1_1 fdout_apol_bgt_1_4 ... fdout_apol_bgt_3_6{txt}->{res}fdout_apol_bgt
budsect_epol_1_1 budsect_epol_1_4 ... budsect_epol_3_6{txt}->{res}budsect_epol
budsect_apol_1_1 budsect_apol_1_4 ... budsect_apol_3_6{txt}->{res}budsect_apol
acinfexp_epol_1_1 acinfexp_epol_1_4 ... acinfexp_epol_3_6{txt}->{res}acinfexp_epol
acinfexp_apol_1_1 acinfexp_apol_1_4 ... acinfexp_apol_3_6{txt}->{res}acinfexp_apol
understand_epol_1_1 understand_epol_1_4 ... understand_epol_3_6{txt}->{res}understand_epol
understand_apol_1_1 understand_apol_1_4 ... understand_apol_3_6{txt}->{res}understand_apol
acttake_epol_1_1 acttake_epol_1_4 ... acttake_epol_3_6{txt}->{res}acttake_epol
acttake_epoloth_1_1 acttake_epoloth_1_4 ... acttake_epoloth_3_6{txt}->{res}acttake_epoloth
acttake_apol_1_1 acttake_apol_1_4 ... acttake_apol_3_6{txt}->{res}acttake_apol
acttake_apoloth_1_1 acttake_apoloth_1_4 ... acttake_apoloth_3_6{txt}->{res}acttake_apoloth
   likely_1_1 likely_1_4 ... likely_3_6   {txt}->   {res}likely
why_likchan_1_1 why_likchan_1_4 ... why_likchan_3_6{txt}->{res}why_likchan
who_apt_bur_1_1 who_apt_bur_1_4 ... who_apt_bur_3_6{txt}->{res}who_apt_bur
who_apt_buroth_1_1 who_apt_buroth_1_4 ... who_apt_buroth_3_6{txt}->{res}who_apt_buroth
who_fir_bur_1_1 who_fir_bur_1_4 ... who_fir_bur_3_6{txt}->{res}who_fir_bur
who_fir_buroth_1_1 who_fir_buroth_1_4 ... who_fir_buroth_3_6{txt}->{res}who_fir_buroth
ocap_epol_1_1 ocap_epol_1_4 ... ocap_epol_3_6{txt}->{res}ocap_epol
ocap_apol_1_1 ocap_apol_1_4 ... ocap_apol_3_6{txt}->{res}ocap_apol
prio_epol_1_1 prio_epol_1_4 ... prio_epol_3_6{txt}->{res}prio_epol
prio_apol_1_1 prio_apol_1_4 ... prio_apol_3_6{txt}->{res}prio_apol
overall_conf_1_1 overall_conf_1_4 ... overall_conf_3_6{txt}->{res}overall_conf
avg_educ_epol_1_1 avg_educ_epol_1_4 ... avg_educ_epol_3_6{txt}->{res}avg_educ_epol
avg_educ_apol_1_1 avg_educ_apol_1_4 ... avg_educ_apol_3_6{txt}->{res}avg_educ_apol
avg_educ_buro_1_1 avg_educ_buro_1_4 ... avg_educ_buro_3_6{txt}->{res}avg_educ_buro
avg_slry_epol_1_1 avg_slry_epol_1_4 ... avg_slry_epol_3_6{txt}->{res}avg_slry_epol
avg_slry_apol_1_1 avg_slry_apol_1_4 ... avg_slry_apol_3_6{txt}->{res}avg_slry_apol
avg_slry_buro_1_1 avg_slry_buro_1_4 ... avg_slry_buro_3_6{txt}->{res}avg_slry_buro
{txt}{hline 77}

{com}.         
.         * Filter data
.         
.         split pos, p("_")
{res}variables created as string: 
{txt}{col 1}pos1{col 7}pos2{col 13}pos3

{com}.         
.         drop pos1
{txt}
{com}.         ren pos2 case_n_unit
{res}{txt}
{com}.         ren pos3 unit_num
{res}{txt}
{com}.         destring case_n_unit unit_num, replace
{txt}case_n_unit: all characters numeric; {res}replaced {txt}as {res}byte
{txt}unit_num: all characters numeric; {res}replaced {txt}as {res}byte
{txt}
{com}.         order case_n_unit unit_num, after(duration_minutes)
{txt}
{com}.         drop pos
{txt}
{com}.         
.         destring num_unit, replace
{txt}num_unit: all characters numeric; {res}replaced {txt}as {res}byte
{txt}
{com}.         drop if num_unit != case_n_unit
{txt}(104 observations deleted)

{com}.         drop num_unit
{txt}
{com}.         
.         compress
  {txt}variable {bf}country{sf} was {bf}{res}str15{sf}{txt} now {bf}{res}str11{sf}
  {txt}variable {bf}full_name{sf} was {bf}{res}str28{sf}{txt} now {bf}{res}str23{sf}
  {txt}variable {bf}recipientemail{sf} was {bf}{res}str35{sf}{txt} now {bf}{res}str32{sf}
  {txt}variable {bf}userlanguage{sf} was {bf}{res}str13{sf}{txt} now {bf}{res}str2{sf}
  {txt}variable {bf}finished{sf} was {bf}{res}str8{sf}{txt} now {bf}{res}str4{sf}
  {txt}variable {bf}title_bur{sf} was {bf}{res}str448{sf}{txt} now {bf}{res}str235{sf}
  {txt}variable {bf}elecpol_ovrsee{sf} was {bf}{res}str352{sf}{txt} now {bf}{res}str3{sf}
  {txt}variable {bf}title_elecpol{sf} was {bf}{res}str312{sf}{txt} now {bf}{res}str288{sf}
  {txt}variable {bf}aptpol_d{sf} was {bf}{res}str332{sf}{txt} now {bf}{res}str30{sf}
  {txt}variable {bf}who_aptpol{sf} was {bf}{res}str96{sf}{txt} now {bf}{res}str84{sf}
  {txt}variable {bf}mostinf_servdel{sf} was {bf}{res}str256{sf}{txt} now {bf}{res}str44{sf}
  {txt}variable {bf}educ_elecpolbur{sf} was {bf}{res}str258{sf}{txt} now {bf}{res}str51{sf}
  {txt}variable {bf}educ_apolbur{sf} was {bf}{res}str260{sf}{txt} now {bf}{res}str1{sf}
  {txt}variable {bf}slry_elecpolbur{sf} was {bf}{res}str316{sf}{txt} now {bf}{res}str47{sf}
  {txt}variable {bf}slry_apolbur{sf} was {bf}{res}str318{sf}{txt} now {bf}{res}str1{sf}
  {txt}variable {bf}fdout_epol_bgt{sf} was {bf}{res}str373{sf}{txt} now {bf}{res}str19{sf}
  {txt}variable {bf}fdout_apol_bgt{sf} was {bf}{res}str375{sf}{txt} now {bf}{res}str1{sf}
  {txt}variable {bf}budsect_epol{sf} was {bf}{res}str217{sf}{txt} now {bf}{res}str19{sf}
  {txt}variable {bf}budsect_apol{sf} was {bf}{res}str219{sf}{txt} now {bf}{res}str1{sf}
  {txt}variable {bf}acinfexp_epol{sf} was {bf}{res}str216{sf}{txt} now {bf}{res}str19{sf}
  {txt}variable {bf}acinfexp_apol{sf} was {bf}{res}str218{sf}{txt} now {bf}{res}str1{sf}
  {txt}variable {bf}understand_epol{sf} was {bf}{res}str214{sf}{txt} now {bf}{res}str21{sf}
  {txt}variable {bf}understand_apol{sf} was {bf}{res}str216{sf}{txt} now {bf}{res}str21{sf}
  {txt}variable {bf}acttake_epol{sf} was {bf}{res}str247{sf}{txt} now {bf}{res}str163{sf}
  {txt}variable {bf}acttake_epoloth{sf} was {bf}{res}str261{sf}{txt} now {bf}{res}str63{sf}
  {txt}variable {bf}acttake_apol{sf} was {bf}{res}str250{sf}{txt} now {bf}{res}str1{sf}
  {txt}variable {bf}acttake_apoloth{sf} was {bf}{res}str264{sf}{txt} now {bf}{res}str1{sf}
  {txt}variable {bf}likely{sf} was {bf}{res}str159{sf}{txt} now {bf}{res}str18{sf}
  {txt}variable {bf}who_apt_bur{sf} was {bf}{res}str126{sf}{txt} now {bf}{res}str64{sf}
  {txt}variable {bf}who_fir_bur{sf} was {bf}{res}str120{sf}{txt} now {bf}{res}str64{sf}
  {txt}variable {bf}who_fir_buroth{sf} was {bf}{res}str134{sf}{txt} now {bf}{res}str77{sf}
  {txt}variable {bf}ocap_epol{sf} was {bf}{res}str359{sf}{txt} now {bf}{res}str55{sf}
  {txt}variable {bf}ocap_apol{sf} was {bf}{res}str361{sf}{txt} now {bf}{res}str1{sf}
  {txt}variable {bf}prio_epol{sf} was {bf}{res}str209{sf}{txt} now {bf}{res}str73{sf}
  {txt}variable {bf}prio_apol{sf} was {bf}{res}str211{sf}{txt} now {bf}{res}str1{sf}
  {txt}variable {bf}overall_conf{sf} was {bf}{res}str191{sf}{txt} now {bf}{res}str17{sf}
  {txt}variable {bf}avg_educ_buro{sf} was {bf}{res}str117{sf}{txt} now {bf}{res}str101{sf}
  {txt}variable {bf}avg_slry_apol{sf} was {bf}{res}str134{sf}{txt} now {bf}{res}str128{sf}
  {txt}variable {bf}avg_slry_buro{sf} was {bf}{res}str134{sf}{txt} now {bf}{res}str87{sf}
  {txt}variable {bf}confirmation{sf} was {bf}{res}str1148{sf}{txt} now {bf}{res}str63{sf}
{txt}  (462,685 bytes saved)

{com}.         
.         * We edit the label 
.         
.         lab var country "Country"
{txt}
{com}.         lab var full_name  "Full name of recipient"
{txt}
{com}.         lab var recipientemail "Recipient email"
{txt}
{com}.         lab var userlanguage "Language used to answer"
{txt}
{com}.         lab var finished "Completion status"
{txt}
{com}.         lab var progress "Progress"
{txt}
{com}.         lab var duration_minutes "Duration in minutes"
{txt}
{com}.         lab var case_n_unit "Original number of entities"
{txt}
{com}.         lab var unit_num "Unit number"
{txt}
{com}.         
.         * Confirmation
.         
.         fre confirmation
{res}
{txt}confirmation
{txt}{hline 54}{hline 1}{c TT}{hline 44}
{txt}        {txt}                                               {c |}      Freq.    Percent      Valid       Cum.
{txt}{hline 54}{hline 1}{c +}{hline 44}
{txt}Valid   No, this is inaccurate. This level needs to be {c |}{res}          2       3.28       7.14       7.14
{txt}        replaced/deleted                               {c |}{res}                                            
{txt}        No, this level needs to be replaced/deleted    {c |}{res}          2       3.28       7.14      14.29
{txt}        Yes, this is accurate                          {c |}{res}         24      39.34      85.71     100.00
{txt}        Total                                          {c |}{res}         28      45.90     100.00           
{txt}Missing                                                {c |}{res}         33      54.10                      
{txt}Total                                                  {c |}{res}         61     100.00                      
{txt}{hline 54}{hline 1}{c BT}{hline 44}

{com}.         replace confirmation = "1" if confirmation == "Yes, this is accurate"
{txt}(24 real changes made)

{com}.         replace confirmation = "0" if regexm(confirmation,"No")
{txt}(4 real changes made)

{com}.         destring confirmation, replace
{txt}confirmation: all characters numeric; {res}replaced {txt}as {res}byte
{txt}(33 missing values generated)
{res}{txt}
{com}.         
.         lab var confirmation "Confirmation of adequacy of unit"
{txt}
{com}.         lab def confirmation 0 "No, this is not accurate. It should be replaced/deleted" 1 "Yes, this is accurate"
{txt}
{com}.         lab val confirmation confirmation
{txt}
{com}.         
.         fre confirmation
{res}
{txt}confirmation {hline 2} Confirmation of adequacy of unit
{txt}{hline 48}{hline 1}{c TT}{hline 44}
{txt}        {txt}                                         {c |}      Freq.    Percent      Valid       Cum.
{txt}{hline 48}{hline 1}{c +}{hline 44}
{txt}Valid   0 No, this is not accurate. It should be {c |}{res}          4       6.56      14.29      14.29
{txt}          replaced/deleted                       {c |}{res}                                            
{txt}        1 Yes, this is accurate                  {c |}{res}         24      39.34      85.71     100.00
{txt}        Total                                    {c |}{res}         28      45.90     100.00           
{txt}Missing .                                        {c |}{res}         33      54.10                      
{txt}Total                                            {c |}{res}         61     100.00                      
{txt}{hline 48}{hline 1}{c BT}{hline 44}

{com}.         
.         order confirmation, after(unit_num)
{txt}
{com}.         
.         * Creating variable about asked_survey (should be updated)
.         
.         gen asked_survey = 0
{txt}
{com}.         replace asked_survey = 1 if confirmation == 1
{txt}(24 real changes made)

{com}.         lab var asked_survey "Survey question asked to respondent"
{txt}
{com}.         lab def yesno 0 "No" 1 "Yes"
{txt}
{com}.         lab val asked_survey yesno
{txt}
{com}.         order asked_survey, after(confirmation)
{txt}
{com}.         
.         * title_bur
.         
.         lab var title_bur "Title of the highest-level bureaucrat in unit"
{txt}
{com}.         
.         gen test_title_bur = (title_bur != "")
{txt}
{com}.         replace test_title_bur = . if asked_survey == 0
{txt}(37 real changes made, 37 to missing)

{com}.         fre test_title_bur
{res}
{txt}test_title_bur
{txt}{hline 9}{hline 1}{c TT}{hline 44}
{txt}        {txt}  {c |}      Freq.    Percent      Valid       Cum.
{txt}{hline 9}{hline 1}{c +}{hline 44}
{txt}Valid   1 {c |}{res}         24      39.34     100.00     100.00
{txt}Missing . {c |}{res}         37      60.66                      
{txt}Total     {c |}{res}         61     100.00                      
{txt}{hline 9}{hline 1}{c BT}{hline 44}

{com}.         assert inlist(test_title_bur,.,1)
{txt}
{com}.         
.         drop test_title_bur
{txt}
{com}.         
.         * elecpol_ovrsee
.         
.         lab var elecpol_ovrsee "Any politicians in unit overseeing service delivery"
{txt}
{com}.         replace elecpol_ovrsee = "0" if elecpol_ovrsee == "No"
{txt}(2 real changes made)

{com}.         replace elecpol_ovrsee = "1" if elecpol_ovrsee == "Yes"
{txt}(23 real changes made)

{com}.         destring elecpol_ovrsee, replace
{txt}elecpol_ovrsee: all characters numeric; {res}replaced {txt}as {res}byte
{txt}(36 missing values generated)
{res}{txt}
{com}.         lab val elecpol_ovrsee yesno
{txt}
{com}.         
.         fre elecpol_ovrsee
{res}
{txt}elecpol_ovrsee {hline 2} Any politicians in unit overseeing service delivery
{txt}{hline 13}{hline 1}{c TT}{hline 44}
{txt}        {txt}      {c |}      Freq.    Percent      Valid       Cum.
{txt}{hline 13}{hline 1}{c +}{hline 44}
{txt}Valid   0 No  {c |}{res}          2       3.28       8.00       8.00
{txt}        1 Yes {c |}{res}         23      37.70      92.00     100.00
{txt}        Total {c |}{res}         25      40.98     100.00           
{txt}Missing .     {c |}{res}         36      59.02                      
{txt}Total         {c |}{res}         61     100.00                      
{txt}{hline 13}{hline 1}{c BT}{hline 44}

{com}.         
.         gen test_elecpol_ovrsee = (elecpol_ovrsee != .)
{txt}
{com}.         replace test_elecpol_ovrsee = . if asked_survey == 0
{txt}(37 real changes made, 37 to missing)

{com}.         fre test_elecpol_ovrsee
{res}
{txt}test_elecpol_ovrsee
{txt}{hline 9}{hline 1}{c TT}{hline 44}
{txt}        {txt}  {c |}      Freq.    Percent      Valid       Cum.
{txt}{hline 9}{hline 1}{c +}{hline 44}
{txt}Valid   1 {c |}{res}         24      39.34     100.00     100.00
{txt}Missing . {c |}{res}         37      60.66                      
{txt}Total     {c |}{res}         61     100.00                      
{txt}{hline 9}{hline 1}{c BT}{hline 44}

{com}.         assert inlist(test_elecpol_ovrsee,.,1)
{txt}
{com}.         
.         drop test_elecpol_ovrsee
{txt}
{com}.         
.         * title_elecpol
.         
.         lab var title_elecpol "Title of the highest-level elected politician in unit"
{txt}
{com}.         
.         gen test_title_elecpol = (title_elecpol != "")
{txt}
{com}.         replace test_title_elecpol = . if asked_survey == 0
{txt}(37 real changes made, 37 to missing)

{com}.         replace test_title_elecpol = . if elecpol_ovrsee == 0
{txt}(1 real change made, 1 to missing)

{com}.         fre test_title_elecpol
{res}
{txt}test_title_elecpol
{txt}{hline 9}{hline 1}{c TT}{hline 44}
{txt}        {txt}  {c |}      Freq.    Percent      Valid       Cum.
{txt}{hline 9}{hline 1}{c +}{hline 44}
{txt}Valid   1 {c |}{res}         23      37.70     100.00     100.00
{txt}Missing . {c |}{res}         38      62.30                      
{txt}Total     {c |}{res}         61     100.00                      
{txt}{hline 9}{hline 1}{c BT}{hline 44}

{com}.         assert inlist(test_title_elecpol,.,1)
{txt}
{com}.         
.         drop test_title_elecpol
{txt}
{com}.         
.         * aptpol_d
.         
.         fre aptpol_d
{res}
{txt}aptpol_d
{txt}{hline 38}{hline 1}{c TT}{hline 44}
{txt}        {txt}                               {c |}      Freq.    Percent      Valid       Cum.
{txt}{hline 38}{hline 1}{c +}{hline 44}
{txt}Valid   Do not know / Refuse to answer {c |}{res}          1       1.64       4.00       4.00
{txt}        No                             {c |}{res}         15      24.59      60.00      64.00
{txt}        Yes                            {c |}{res}          9      14.75      36.00     100.00
{txt}        Total                          {c |}{res}         25      40.98     100.00           
{txt}Missing                                {c |}{res}         36      59.02                      
{txt}Total                                  {c |}{res}         61     100.00                      
{txt}{hline 38}{hline 1}{c BT}{hline 44}

{com}.         
.         lab var aptpol_d "Politician appointed by higher politician in unit"
{txt}
{com}.         replace aptpol_d = "0" if aptpol_d == "No"
{txt}(15 real changes made)

{com}.         replace aptpol_d = "1" if aptpol_d == "Yes"
{txt}(9 real changes made)

{com}.         replace aptpol_d = "-98" if aptpol_d == "Do not know / Refuse to answer"
{txt}(1 real change made)

{com}.         destring aptpol_d, replace
{txt}aptpol_d: all characters numeric; {res}replaced {txt}as {res}byte
{txt}(36 missing values generated)
{res}{txt}
{com}.         lab val aptpol_d yesno
{txt}
{com}.         
.         fre aptpol_d
{res}
{txt}aptpol_d {hline 2} Politician appointed by higher politician in unit
{txt}{hline 15}{hline 1}{c TT}{hline 44}
{txt}        {txt}        {c |}      Freq.    Percent      Valid       Cum.
{txt}{hline 15}{hline 1}{c +}{hline 44}
{txt}Valid   -98     {c |}{res}          1       1.64       4.00       4.00
{txt}        0   No  {c |}{res}         15      24.59      60.00      64.00
{txt}        1   Yes {c |}{res}          9      14.75      36.00     100.00
{txt}        Total   {c |}{res}         25      40.98     100.00           
{txt}Missing .       {c |}{res}         36      59.02                      
{txt}Total           {c |}{res}         61     100.00                      
{txt}{hline 15}{hline 1}{c BT}{hline 44}

{com}.         
.         gen test_aptpol_d = (aptpol_d != .)
{txt}
{com}.         replace test_aptpol_d = . if asked_survey == 0
{txt}(37 real changes made, 37 to missing)

{com}.         fre test_aptpol_d
{res}
{txt}test_aptpol_d
{txt}{hline 9}{hline 1}{c TT}{hline 44}
{txt}        {txt}  {c |}      Freq.    Percent      Valid       Cum.
{txt}{hline 9}{hline 1}{c +}{hline 44}
{txt}Valid   1 {c |}{res}         24      39.34     100.00     100.00
{txt}Missing . {c |}{res}         37      60.66                      
{txt}Total     {c |}{res}         61     100.00                      
{txt}{hline 9}{hline 1}{c BT}{hline 44}

{com}.         assert inlist(test_aptpol_d,.,1)
{txt}
{com}.         
.         drop test_aptpol_d
{txt}
{com}.         
.         * pol_exist_d
.         
.         gen pol_exist_d = 0
{txt}
{com}.         replace pol_exist_d = 1 if aptpol_d == 1 | elecpol_ovrsee == 1
{txt}(23 real changes made)

{com}.         replace pol_exist_d = . if asked_survey == 0
{txt}(37 real changes made, 37 to missing)

{com}.         lab val pol_exist_d yesno
{txt}
{com}.         lab var pol_exist_d "1 if we have either an appointed or elected politician"
{txt}
{com}.         
.         fre pol_exist_d
{res}
{txt}pol_exist_d {hline 2} 1 if we have either an appointed or elected politician
{txt}{hline 13}{hline 1}{c TT}{hline 44}
{txt}        {txt}      {c |}      Freq.    Percent      Valid       Cum.
{txt}{hline 13}{hline 1}{c +}{hline 44}
{txt}Valid   0 No  {c |}{res}          1       1.64       4.17       4.17
{txt}        1 Yes {c |}{res}         23      37.70      95.83     100.00
{txt}        Total {c |}{res}         24      39.34     100.00           
{txt}Missing .     {c |}{res}         37      60.66                      
{txt}Total         {c |}{res}         61     100.00                      
{txt}{hline 13}{hline 1}{c BT}{hline 44}

{com}.         order pol_exist_d, after(aptpol_d)
{txt}
{com}.         
.         * title_aptpol
.         
.         lab var title_aptpol "Title of the highest-level appointed politician in unit"
{txt}
{com}.         
.         gen test_title_aptpol = (title_aptpol != "")
{txt}
{com}.         replace test_title_aptpol = . if asked_survey == 0 
{txt}(37 real changes made, 37 to missing)

{com}.         replace test_title_aptpol = . if aptpol_d == 0 | aptpol_d == -98
{txt}(15 real changes made, 15 to missing)

{com}.         fre test_title_aptpol
{res}
{txt}test_title_aptpol
{txt}{hline 9}{hline 1}{c TT}{hline 44}
{txt}        {txt}  {c |}      Freq.    Percent      Valid       Cum.
{txt}{hline 9}{hline 1}{c +}{hline 44}
{txt}Valid   1 {c |}{res}          9      14.75     100.00     100.00
{txt}Missing . {c |}{res}         52      85.25                      
{txt}Total     {c |}{res}         61     100.00                      
{txt}{hline 9}{hline 1}{c BT}{hline 44}

{com}.         assert inlist(test_title_aptpol,.,1)
{txt}
{com}.         
.         drop test_title_aptpol
{txt}
{com}.         
.         * who_aptpol
.         
.         lab var who_aptpol "Who appoints the highest-level appointed politician in unit"
{txt}
{com}.         
.         gen test_who_aptpol = (who_aptpol != "")
{txt}
{com}.         replace test_who_aptpol = . if asked_survey == 0 
{txt}(37 real changes made, 37 to missing)

{com}.         replace test_who_aptpol = . if aptpol_d == 0 | aptpol_d == -98
{txt}(15 real changes made, 15 to missing)

{com}.         fre test_who_aptpol
{res}
{txt}test_who_aptpol
{txt}{hline 9}{hline 1}{c TT}{hline 44}
{txt}        {txt}  {c |}      Freq.    Percent      Valid       Cum.
{txt}{hline 9}{hline 1}{c +}{hline 44}
{txt}Valid   1 {c |}{res}          9      14.75     100.00     100.00
{txt}Missing . {c |}{res}         52      85.25                      
{txt}Total     {c |}{res}         61     100.00                      
{txt}{hline 9}{hline 1}{c BT}{hline 44}

{com}.         assert inlist(test_who_aptpol,.,1)
{txt}
{com}.         
.         drop test_who_aptpol
{txt}
{com}.         
.         * mostinf_servdel
.         
.         lab var mostinf_servdel "More influential in determining quality of service"
{txt}
{com}.         
.         replace mostinf_servdel = "1" if regexm(mostinf_servdel,"Elected much more")
{txt}(5 real changes made)

{com}.         replace mostinf_servdel = "2" if regexm(mostinf_servdel,"Elected slightly more")
{txt}(0 real changes made)

{com}.         replace mostinf_servdel = "3" if regexm(mostinf_servdel,"About the same")
{txt}(1 real change made)

{com}.         replace mostinf_servdel = "4" if regexm(mostinf_servdel,"Appointed slightly more")
{txt}(0 real changes made)

{com}.         replace mostinf_servdel = "5" if regexm(mostinf_servdel,"Appointed much more")
{txt}(3 real changes made)

{com}.         destring mostinf_servdel, replace
{txt}mostinf_servdel: all characters numeric; {res}replaced {txt}as {res}byte
{txt}(52 missing values generated)
{res}{txt}
{com}.         lab def mostinf_servdel 1 "Elected much more influential" 2 "Elected slightly more influential" 3 "About the same" 4 "Appointed slightly more influential" 5 "Appointed much more influential"
{txt}
{com}.         lab val mostinf_servdel mostinf_servdel
{txt}
{com}.         
.         fre mostinf_servdel
{res}
{txt}mostinf_servdel {hline 2} More influential in determining quality of service
{txt}{hline 41}{hline 1}{c TT}{hline 44}
{txt}        {txt}                                  {c |}      Freq.    Percent      Valid       Cum.
{txt}{hline 41}{hline 1}{c +}{hline 44}
{txt}Valid   1 Elected much more influential   {c |}{res}          5       8.20      55.56      55.56
{txt}        3 About the same                  {c |}{res}          1       1.64      11.11      66.67
{txt}        5 Appointed much more influential {c |}{res}          3       4.92      33.33     100.00
{txt}        Total                             {c |}{res}          9      14.75     100.00           
{txt}Missing .                                 {c |}{res}         52      85.25                      
{txt}Total                                     {c |}{res}         61     100.00                      
{txt}{hline 41}{hline 1}{c BT}{hline 44}

{com}.         
.         gen test_mostinf_servdel = (mostinf_servdel != .)
{txt}
{com}.         replace test_mostinf_servdel = . if asked_survey == 0 
{txt}(37 real changes made, 37 to missing)

{com}.         replace test_mostinf_servdel = . if (inlist(aptpol_d,0,-98) | elecpol_ovrsee == 0)
{txt}(15 real changes made, 15 to missing)

{com}.         fre test_mostinf_servdel
{res}
{txt}test_mostinf_servdel
{txt}{hline 9}{hline 1}{c TT}{hline 44}
{txt}        {txt}  {c |}      Freq.    Percent      Valid       Cum.
{txt}{hline 9}{hline 1}{c +}{hline 44}
{txt}Valid   1 {c |}{res}          9      14.75     100.00     100.00
{txt}Missing . {c |}{res}         52      85.25                      
{txt}Total     {c |}{res}         61     100.00                      
{txt}{hline 9}{hline 1}{c BT}{hline 44}

{com}.         assert inlist(test_mostinf_servdel,.,1)
{txt}
{com}.         
.         drop test_mostinf_servdel
{txt}
{com}.         
.         * educ_elecpolbur
.         
.         lab var educ_elecpolbur "More educated bureaucrat or politician (elec. politician)"
{txt}
{com}.         
.         fre educ_elecpolbur
{res}
{txt}educ_elecpolbur {hline 2} More educated bureaucrat or politician (elec. politician)
{txt}{hline 55}{hline 1}{c TT}{hline 44}
{txt}        {txt}                                                {c |}      Freq.    Percent      Valid       Cum.
{txt}{hline 55}{hline 1}{c +}{hline 44}
{txt}Valid   About the same level of education               {c |}{res}          4       6.56      17.39      17.39
{txt}        Bureaucrats much more educated than Politicians {c |}{res}         13      21.31      56.52      73.91
{txt}        Bureaucrats slightly more educated than         {c |}{res}          6       9.84      26.09     100.00
{txt}        Politicians                                     {c |}{res}                                            
{txt}        Total                                           {c |}{res}         23      37.70     100.00           
{txt}Missing                                                 {c |}{res}         38      62.30                      
{txt}Total                                                   {c |}{res}         61     100.00                      
{txt}{hline 55}{hline 1}{c BT}{hline 44}

{com}.         
.         replace educ_elecpolbur = "1" if regexm(educ_elecpolbur,"Bureaucrats much more educated")
{txt}(13 real changes made)

{com}.         replace educ_elecpolbur = "2" if regexm(educ_elecpolbur,"Bureaucrats slightly more educated")
{txt}(6 real changes made)

{com}.         replace educ_elecpolbur = "3" if regexm(educ_elecpolbur,"About the same")
{txt}(4 real changes made)

{com}.         replace educ_elecpolbur = "4" if regexm(educ_elecpolbur,"Politicians slightly more educated")
{txt}(0 real changes made)

{com}.         replace educ_elecpolbur = "5" if regexm(educ_elecpolbur,"Politicians much more educated")
{txt}(0 real changes made)

{com}.         destring educ_elecpolbur, replace
{txt}educ_elecpolbur: all characters numeric; {res}replaced {txt}as {res}byte
{txt}(38 missing values generated)
{res}{txt}
{com}.         lab def educ_elecpolbur 1 "Bureaucrats much more educated" 2 "Bureaucrats slightly more educated" 3 "About the same" 4 "Politicians slightly more educated" 5 "Politicians much more educated"
{txt}
{com}.         lab val educ_elecpolbur educ_elecpolbur
{txt}
{com}.         
.         fre educ_elecpolbur
{res}
{txt}educ_elecpolbur {hline 2} More educated bureaucrat or politician (elec. politician)
{txt}{hline 44}{hline 1}{c TT}{hline 44}
{txt}        {txt}                                     {c |}      Freq.    Percent      Valid       Cum.
{txt}{hline 44}{hline 1}{c +}{hline 44}
{txt}Valid   1 Bureaucrats much more educated     {c |}{res}         13      21.31      56.52      56.52
{txt}        2 Bureaucrats slightly more educated {c |}{res}          6       9.84      26.09      82.61
{txt}        3 About the same                     {c |}{res}          4       6.56      17.39     100.00
{txt}        Total                                {c |}{res}         23      37.70     100.00           
{txt}Missing .                                    {c |}{res}         38      62.30                      
{txt}Total                                        {c |}{res}         61     100.00                      
{txt}{hline 44}{hline 1}{c BT}{hline 44}

{com}.         
.         gen test_educ_elecpolbur = (educ_elecpolbur != .)
{txt}
{com}.         replace test_educ_elecpolbur = . if asked_survey == 0 
{txt}(37 real changes made, 37 to missing)

{com}.         replace test_educ_elecpolbur = . if elecpol_ovrsee == 0
{txt}(1 real change made, 1 to missing)

{com}.         fre test_educ_elecpolbur
{res}
{txt}test_educ_elecpolbur
{txt}{hline 9}{hline 1}{c TT}{hline 44}
{txt}        {txt}  {c |}      Freq.    Percent      Valid       Cum.
{txt}{hline 9}{hline 1}{c +}{hline 44}
{txt}Valid   1 {c |}{res}         23      37.70     100.00     100.00
{txt}Missing . {c |}{res}         38      62.30                      
{txt}Total     {c |}{res}         61     100.00                      
{txt}{hline 9}{hline 1}{c BT}{hline 44}

{com}.         assert inlist(test_educ_elecpolbur,.,1)
{txt}
{com}.         
.         drop test_educ_elecpolbur
{txt}
{com}.         
.         * educ_apolbur
.         
.         lab var educ_apolbur "More educated bureaucrat or politician (app. politician) "
{txt}
{com}.         
.         fre educ_apolbur
{res}
{txt}educ_apolbur {hline 2} More educated bureaucrat or politician (app. politician) 
{txt}{hline 8}{hline 1}{c TT}{hline 44}
{txt}        {txt} {c |}      Freq.    Percent      Valid       Cum.
{txt}{hline 8}{hline 1}{c +}{hline 44}
{txt}Missing  {c |}{res}         61     100.00                      
{txt}{hline 8}{hline 1}{c BT}{hline 44}

{com}.         
.         replace educ_apolbur = "1" if regexm(educ_apolbur,"Bureaucrats much more educated")
{txt}(0 real changes made)

{com}.         replace educ_apolbur = "2" if regexm(educ_apolbur,"Bureaucrats slightly more educated")
{txt}(0 real changes made)

{com}.         replace educ_apolbur = "3" if regexm(educ_apolbur,"About the same")
{txt}(0 real changes made)

{com}.         replace educ_apolbur = "4" if regexm(educ_apolbur,"Politicians slightly more educated")
{txt}(0 real changes made)

{com}.         replace educ_apolbur = "5" if regexm(educ_apolbur,"Politicians much more educated")
{txt}(0 real changes made)

{com}.         destring educ_apolbur, replace
{txt}educ_apolbur: all characters numeric; {res}replaced {txt}as {res}byte
{txt}(61 missing values generated)
{res}{txt}
{com}.         lab def educ_apolbur 1 "Bureaucrats much more educated" 2 "Bureaucrats slightly more educated" 3 "About the same" 4 "Politicians slightly more educated" 5 "Politicians much more educated"
{txt}
{com}.         lab val educ_apolbur educ_apolbur
{txt}
{com}.         
.         fre educ_apolbur
{res}
{txt}educ_apolbur {hline 2} More educated bureaucrat or politician (app. politician) 
{txt}{hline 13}{hline 1}{c TT}{hline 44}
{txt}        {txt}      {c |}      Freq.    Percent      Valid       Cum.
{txt}{hline 13}{hline 1}{c +}{hline 44}
{txt}Missing .     {c |}{res}         61     100.00                      
{txt}{hline 13}{hline 1}{c BT}{hline 44}

{com}.         
.         gen test_educ_apolbur = (educ_apolbur != .)
{txt}
{com}.         replace test_educ_apolbur = . if asked_survey == 0
{txt}(37 real changes made, 37 to missing)

{com}.         replace test_educ_apolbur = . if aptpol_d == 0
{txt}(14 real changes made, 14 to missing)

{com}.         replace test_educ_apolbur = . if elecpol_ovrsee == 1 
{txt}(10 real changes made, 10 to missing)

{com}.         fre test_educ_apolbur
{res}
{txt}test_educ_apolbur
{txt}{hline 9}{hline 1}{c TT}{hline 44}
{txt}        {txt}  {c |}      Freq.    Percent      Valid       Cum.
{txt}{hline 9}{hline 1}{c +}{hline 44}
{txt}Missing . {c |}{res}         61     100.00                      
{txt}{hline 9}{hline 1}{c BT}{hline 44}

{com}.         assert inlist(test_educ_apolbur,.,1)
{txt}
{com}.         
.         drop test_educ_apolbur
{txt}
{com}.         
.         * slry_elecpolbur
.         
.         lab var slry_elecpolbur "Earning more bureaucrat or politician (elec. politician)"
{txt}
{com}.         
.         fre slry_elecpolbur
{res}
{txt}slry_elecpolbur {hline 2} Earning more bureaucrat or politician (elec. politician)
{txt}{hline 55}{hline 1}{c TT}{hline 44}
{txt}        {txt}                                                {c |}      Freq.    Percent      Valid       Cum.
{txt}{hline 55}{hline 1}{c +}{hline 44}
{txt}Valid   Both earn about the same                        {c |}{res}          4       6.56      17.39      17.39
{txt}        Bureaucrats earn much more than Politicians     {c |}{res}          5       8.20      21.74      39.13
{txt}        Bureaucrats earn slightly more than Politicians {c |}{res}          3       4.92      13.04      52.17
{txt}        Politicians earn much more than Bureaucrats     {c |}{res}          6       9.84      26.09      78.26
{txt}        Politicians earn slightly more than Bureaucrats {c |}{res}          5       8.20      21.74     100.00
{txt}        Total                                           {c |}{res}         23      37.70     100.00           
{txt}Missing                                                 {c |}{res}         38      62.30                      
{txt}Total                                                   {c |}{res}         61     100.00                      
{txt}{hline 55}{hline 1}{c BT}{hline 44}

{com}.         
.         replace slry_elecpolbur = "1" if regexm(slry_elecpolbur,"Bureaucrats earn much")
{txt}(5 real changes made)

{com}.         replace slry_elecpolbur = "2" if regexm(slry_elecpolbur,"Bureaucrats earn slightly")
{txt}(3 real changes made)

{com}.         replace slry_elecpolbur = "3" if regexm(slry_elecpolbur,"Both earn")
{txt}(4 real changes made)

{com}.         replace slry_elecpolbur = "4" if regexm(slry_elecpolbur,"Politicians earn slightly")
{txt}(5 real changes made)

{com}.         replace slry_elecpolbur = "5" if regexm(slry_elecpolbur,"Politicians earn much")
{txt}(6 real changes made)

{com}.         destring slry_elecpolbur, replace
{txt}slry_elecpolbur: all characters numeric; {res}replaced {txt}as {res}byte
{txt}(38 missing values generated)
{res}{txt}
{com}.         lab def slry_elecpolbur 1 "Bureaucrats earn much more" 2 "Bureaucrats earn slightly more" 3 "Both earn the same" 4 "Politicians earn slightly" 5 "Politicians earn much more"
{txt}
{com}.         lab val slry_elecpolbur slry_elecpolbur
{txt}
{com}.         
.         fre slry_elecpolbur
{res}
{txt}slry_elecpolbur {hline 2} Earning more bureaucrat or politician (elec. politician)
{txt}{hline 40}{hline 1}{c TT}{hline 44}
{txt}        {txt}                                 {c |}      Freq.    Percent      Valid       Cum.
{txt}{hline 40}{hline 1}{c +}{hline 44}
{txt}Valid   1 Bureaucrats earn much more     {c |}{res}          5       8.20      21.74      21.74
{txt}        2 Bureaucrats earn slightly more {c |}{res}          3       4.92      13.04      34.78
{txt}        3 Both earn the same             {c |}{res}          4       6.56      17.39      52.17
{txt}        4 Politicians earn slightly      {c |}{res}          5       8.20      21.74      73.91
{txt}        5 Politicians earn much more     {c |}{res}          6       9.84      26.09     100.00
{txt}        Total                            {c |}{res}         23      37.70     100.00           
{txt}Missing .                                {c |}{res}         38      62.30                      
{txt}Total                                    {c |}{res}         61     100.00                      
{txt}{hline 40}{hline 1}{c BT}{hline 44}

{com}.         
.         gen test_slry_elecpolbur = (slry_elecpolbur != .)
{txt}
{com}.         replace test_slry_elecpolbur = . if asked_survey == 0 
{txt}(37 real changes made, 37 to missing)

{com}.         replace test_slry_elecpolbur = . if elecpol_ovrsee == 0
{txt}(1 real change made, 1 to missing)

{com}.         fre test_slry_elecpolbur
{res}
{txt}test_slry_elecpolbur
{txt}{hline 9}{hline 1}{c TT}{hline 44}
{txt}        {txt}  {c |}      Freq.    Percent      Valid       Cum.
{txt}{hline 9}{hline 1}{c +}{hline 44}
{txt}Valid   1 {c |}{res}         23      37.70     100.00     100.00
{txt}Missing . {c |}{res}         38      62.30                      
{txt}Total     {c |}{res}         61     100.00                      
{txt}{hline 9}{hline 1}{c BT}{hline 44}

{com}.         assert inlist(test_slry_elecpolbur,.,1)
{txt}
{com}.         
.         drop test_slry_elecpolbur
{txt}
{com}.         
.         * slry_apolbur
.         
.         lab var slry_apolbur "Earning more bureaucrat or politician (app. politician)"
{txt}
{com}.         
.         fre slry_apolbur
{res}
{txt}slry_apolbur {hline 2} Earning more bureaucrat or politician (app. politician)
{txt}{hline 8}{hline 1}{c TT}{hline 44}
{txt}        {txt} {c |}      Freq.    Percent      Valid       Cum.
{txt}{hline 8}{hline 1}{c +}{hline 44}
{txt}Missing  {c |}{res}         61     100.00                      
{txt}{hline 8}{hline 1}{c BT}{hline 44}

{com}.         
.         replace slry_apolbur = "1" if regexm(slry_apolbur,"Bureaucrats earn much")
{txt}(0 real changes made)

{com}.         replace slry_apolbur = "2" if regexm(slry_apolbur,"Bureaucrats earn slightly")
{txt}(0 real changes made)

{com}.         replace slry_apolbur = "3" if regexm(slry_apolbur,"Both earn")
{txt}(0 real changes made)

{com}.         replace slry_apolbur = "4" if regexm(slry_apolbur,"Politicians earn slightly")
{txt}(0 real changes made)

{com}.         replace slry_apolbur = "5" if regexm(slry_apolbur,"Politicians earn much")
{txt}(0 real changes made)

{com}.         destring slry_apolbur, replace
{txt}slry_apolbur: all characters numeric; {res}replaced {txt}as {res}byte
{txt}(61 missing values generated)
{res}{txt}
{com}.         lab def slry_apolbur 1 "Bureaucrats earn much more" 2 "Bureaucrats earn slightly more" 3 "Both earn the same" 4 "Politicians earn slightly" 5 "Politicians earn much more"
{txt}
{com}.         lab val slry_apolbur slry_apolbur
{txt}
{com}.         
.         fre slry_apolbur
{res}
{txt}slry_apolbur {hline 2} Earning more bureaucrat or politician (app. politician)
{txt}{hline 13}{hline 1}{c TT}{hline 44}
{txt}        {txt}      {c |}      Freq.    Percent      Valid       Cum.
{txt}{hline 13}{hline 1}{c +}{hline 44}
{txt}Missing .     {c |}{res}         61     100.00                      
{txt}{hline 13}{hline 1}{c BT}{hline 44}

{com}.         
.         gen test_slry_apolbur = (slry_apolbur != .)
{txt}
{com}.         replace test_slry_apolbur = . if asked_survey == 0
{txt}(37 real changes made, 37 to missing)

{com}.         replace test_slry_apolbur = . if aptpol_d == 0
{txt}(14 real changes made, 14 to missing)

{com}.         replace test_slry_apolbur = . if elecpol_ovrsee == 1 
{txt}(10 real changes made, 10 to missing)

{com}.         fre test_slry_apolbur
{res}
{txt}test_slry_apolbur
{txt}{hline 9}{hline 1}{c TT}{hline 44}
{txt}        {txt}  {c |}      Freq.    Percent      Valid       Cum.
{txt}{hline 9}{hline 1}{c +}{hline 44}
{txt}Missing . {c |}{res}         61     100.00                      
{txt}{hline 9}{hline 1}{c BT}{hline 44}

{com}.         assert inlist(test_slry_apolbur,.,1)
{txt}
{com}.         
.         drop test_slry_apolbur
{txt}
{com}.         
.         * We merge the payment module
.         
.         merge m:1 responseid using "`payment_module'"
{res}
{txt}{col 5}Result{col 38}# of obs.
{col 5}{hline 41}
{col 5}not matched{col 30}{res}               0
{txt}{col 5}matched{col 30}{res}              61{txt}  (_merge==3)
{col 5}{hline 41}

{com}.         drop _merge
{txt}
{com}.         order donate_d org_donation_id paid_status, after(duration_minutes)
{txt}
{com}.         
.         * fdout_epol_bgt
.         
.         lab var fdout_epol_bgt "Easy to find out about envelop (elec. politician)"
{txt}
{com}.         
.         fre fdout_epol_bgt
{res}
{txt}fdout_epol_bgt {hline 2} Easy to find out about envelop (elec. politician)
{txt}{hline 26}{hline 1}{c TT}{hline 44}
{txt}        {txt}                   {c |}      Freq.    Percent      Valid       Cum.
{txt}{hline 26}{hline 1}{c +}{hline 44}
{txt}Valid   Somewhat difficult {c |}{res}          3       4.92      13.04      13.04
{txt}        Somewhat easy      {c |}{res}          6       9.84      26.09      39.13
{txt}        Very easy          {c |}{res}         14      22.95      60.87     100.00
{txt}        Total              {c |}{res}         23      37.70     100.00           
{txt}Missing                    {c |}{res}         38      62.30                      
{txt}Total                      {c |}{res}         61     100.00                      
{txt}{hline 26}{hline 1}{c BT}{hline 44}

{com}.         
.         replace fdout_epol_bgt = "1" if regexm(fdout_epol_bgt,"Very easy")
{txt}(14 real changes made)

{com}.         replace fdout_epol_bgt = "2" if regexm(fdout_epol_bgt,"Somewhat easy")
{txt}(6 real changes made)

{com}.         replace fdout_epol_bgt = "3" if regexm(fdout_epol_bgt,"Somewhat difficult")
{txt}(3 real changes made)

{com}.         replace fdout_epol_bgt = "4" if regexm(fdout_epol_bgt,"Very difficult")
{txt}(0 real changes made)

{com}.         replace fdout_epol_bgt = "5" if regexm(fdout_epol_bgt,"Not applicable")
{txt}(0 real changes made)

{com}.         replace fdout_epol_bgt = "6" if regexm(fdout_epol_bgt,"Do not know")
{txt}(0 real changes made)

{com}.         
.         destring fdout_epol_bgt, replace
{txt}fdout_epol_bgt: all characters numeric; {res}replaced {txt}as {res}byte
{txt}(38 missing values generated)
{res}{txt}
{com}.         lab def fdout_epol_bgt 1 "Very easy" 2 "Somewhat easy" 3 "Somewhat difficult" 4 "Very difficult" 5 "Not applicable, this level of government has no spending power" 6 "Do not know / Refuse to answer"
{txt}
{com}.         lab val fdout_epol_bgt fdout_epol_bgt
{txt}
{com}.         
.         fre fdout_epol_bgt
{res}
{txt}fdout_epol_bgt {hline 2} Easy to find out about envelop (elec. politician)
{txt}{hline 28}{hline 1}{c TT}{hline 44}
{txt}        {txt}                     {c |}      Freq.    Percent      Valid       Cum.
{txt}{hline 28}{hline 1}{c +}{hline 44}
{txt}Valid   1 Very easy          {c |}{res}         14      22.95      60.87      60.87
{txt}        2 Somewhat easy      {c |}{res}          6       9.84      26.09      86.96
{txt}        3 Somewhat difficult {c |}{res}          3       4.92      13.04     100.00
{txt}        Total                {c |}{res}         23      37.70     100.00           
{txt}Missing .                    {c |}{res}         38      62.30                      
{txt}Total                        {c |}{res}         61     100.00                      
{txt}{hline 28}{hline 1}{c BT}{hline 44}

{com}.         
.         gen test_fdout_epol_bgt = (fdout_epol_bgt != .)
{txt}
{com}.         replace test_fdout_epol_bgt = . if asked_survey == 0 
{txt}(37 real changes made, 37 to missing)

{com}.         replace test_fdout_epol_bgt = . if elecpol_ovrsee == 0
{txt}(1 real change made, 1 to missing)

{com}.         fre test_fdout_epol_bgt
{res}
{txt}test_fdout_epol_bgt
{txt}{hline 9}{hline 1}{c TT}{hline 44}
{txt}        {txt}  {c |}      Freq.    Percent      Valid       Cum.
{txt}{hline 9}{hline 1}{c +}{hline 44}
{txt}Valid   1 {c |}{res}         23      37.70     100.00     100.00
{txt}Missing . {c |}{res}         38      62.30                      
{txt}Total     {c |}{res}         61     100.00                      
{txt}{hline 9}{hline 1}{c BT}{hline 44}

{com}.         assert inlist(test_fdout_epol_bgt,.,1)
{txt}
{com}.         
.         drop test_fdout_epol_bgt
{txt}
{com}.         
.         * fdout_apol_bgt
.         
.         lab var fdout_apol_bgt "Easy to find out about envelop (app. politician)"
{txt}
{com}.         
.         fre fdout_apol_bgt
{res}
{txt}fdout_apol_bgt {hline 2} Easy to find out about envelop (app. politician)
{txt}{hline 8}{hline 1}{c TT}{hline 44}
{txt}        {txt} {c |}      Freq.    Percent      Valid       Cum.
{txt}{hline 8}{hline 1}{c +}{hline 44}
{txt}Missing  {c |}{res}         61     100.00                      
{txt}{hline 8}{hline 1}{c BT}{hline 44}

{com}.         
.         replace fdout_apol_bgt = "1" if regexm(fdout_apol_bgt,"Very easy")
{txt}(0 real changes made)

{com}.         replace fdout_apol_bgt = "2" if regexm(fdout_apol_bgt,"Somewhat easy")
{txt}(0 real changes made)

{com}.         replace fdout_apol_bgt = "3" if regexm(fdout_apol_bgt,"Somewhat difficult")
{txt}(0 real changes made)

{com}.         replace fdout_apol_bgt = "4" if regexm(fdout_apol_bgt,"Very difficult")
{txt}(0 real changes made)

{com}.         replace fdout_apol_bgt = "5" if regexm(fdout_apol_bgt,"Not applicable")
{txt}(0 real changes made)

{com}.         replace fdout_apol_bgt = "6" if regexm(fdout_apol_bgt,"Do not know")
{txt}(0 real changes made)

{com}.         
.         destring fdout_apol_bgt, replace
{txt}fdout_apol_bgt: all characters numeric; {res}replaced {txt}as {res}byte
{txt}(61 missing values generated)
{res}{txt}
{com}.         lab def fdout_apol_bgt 1 "Very easy" 2 "Somewhat easy" 3 "Somewhat difficult" 4 "Very difficult" 5 "Not applicable, this level of government has no spending power" 6 "Do not know / Refuse to answer"
{txt}
{com}.         lab val fdout_apol_bgt fdout_apol_bgt
{txt}
{com}.         
.         fre fdout_apol_bgt
{res}
{txt}fdout_apol_bgt {hline 2} Easy to find out about envelop (app. politician)
{txt}{hline 13}{hline 1}{c TT}{hline 44}
{txt}        {txt}      {c |}      Freq.    Percent      Valid       Cum.
{txt}{hline 13}{hline 1}{c +}{hline 44}
{txt}Missing .     {c |}{res}         61     100.00                      
{txt}{hline 13}{hline 1}{c BT}{hline 44}

{com}.         
.         gen test_fdout_apol_bgt = (fdout_apol_bgt != .)
{txt}
{com}.         replace test_fdout_apol_bgt = . if asked_survey == 0
{txt}(37 real changes made, 37 to missing)

{com}.         replace test_fdout_apol_bgt = . if aptpol_d == 0
{txt}(14 real changes made, 14 to missing)

{com}.         replace test_fdout_apol_bgt = . if elecpol_ovrsee == 1 
{txt}(10 real changes made, 10 to missing)

{com}.         fre test_fdout_apol_bgt
{res}
{txt}test_fdout_apol_bgt
{txt}{hline 9}{hline 1}{c TT}{hline 44}
{txt}        {txt}  {c |}      Freq.    Percent      Valid       Cum.
{txt}{hline 9}{hline 1}{c +}{hline 44}
{txt}Missing . {c |}{res}         61     100.00                      
{txt}{hline 9}{hline 1}{c BT}{hline 44}

{com}.         assert inlist(test_fdout_apol_bgt,.,1)
{txt}
{com}.         
.         drop test_fdout_apol_bgt
{txt}
{com}.         
.         * budsect_epol
.         
.         lab var budsect_epol "Find about budget allocation to sectors (elec. politician)"
{txt}
{com}.         
.         fre budsect_epol
{res}
{txt}budsect_epol {hline 2} Find about budget allocation to sectors (elec. politician)
{txt}{hline 26}{hline 1}{c TT}{hline 44}
{txt}        {txt}                   {c |}      Freq.    Percent      Valid       Cum.
{txt}{hline 26}{hline 1}{c +}{hline 44}
{txt}Valid   Somewhat difficult {c |}{res}          2       3.28       8.70       8.70
{txt}        Somewhat easy      {c |}{res}          4       6.56      17.39      26.09
{txt}        Very difficult     {c |}{res}          1       1.64       4.35      30.43
{txt}        Very easy          {c |}{res}          9      14.75      39.13      69.57
{txt}        Somewhat easy      {c |}{res}          1       1.64       4.35      73.91
{txt}        Very easy          {c |}{res}          6       9.84      26.09     100.00
{txt}        Total              {c |}{res}         23      37.70     100.00           
{txt}Missing                    {c |}{res}         38      62.30                      
{txt}Total                      {c |}{res}         61     100.00                      
{txt}{hline 26}{hline 1}{c BT}{hline 44}

{com}.         
.         replace budsect_epol = "1" if regexm(budsect_epol,"Very easy")
{txt}(15 real changes made)

{com}.         replace budsect_epol = "2" if regexm(budsect_epol,"Somewhat easy")
{txt}(5 real changes made)

{com}.         replace budsect_epol = "3" if regexm(budsect_epol,"Somewhat difficult")
{txt}(2 real changes made)

{com}.         replace budsect_epol = "4" if regexm(budsect_epol,"Very difficult")
{txt}(1 real change made)

{com}.         replace budsect_epol = "5" if regexm(budsect_epol,"Not applicable")
{txt}(0 real changes made)

{com}.         replace budsect_epol = "6" if regexm(budsect_epol,"Do not know")
{txt}(0 real changes made)

{com}.         
.         destring budsect_epol, replace
{txt}budsect_epol: all characters numeric; {res}replaced {txt}as {res}byte
{txt}(38 missing values generated)
{res}{txt}
{com}.         lab def budsect_epol 1 "Very easy" 2 "Somewhat easy" 3 "Somewhat difficult" 4 "Very difficult" 5 "Not applicable, this level of government has no spending power" 6 "Do not know / Refuse to answer"
{txt}
{com}.         lab val budsect_epol budsect_epol
{txt}
{com}.         
.         fre budsect_epol
{res}
{txt}budsect_epol {hline 2} Find about budget allocation to sectors (elec. politician)
{txt}{hline 28}{hline 1}{c TT}{hline 44}
{txt}        {txt}                     {c |}      Freq.    Percent      Valid       Cum.
{txt}{hline 28}{hline 1}{c +}{hline 44}
{txt}Valid   1 Very easy          {c |}{res}         15      24.59      65.22      65.22
{txt}        2 Somewhat easy      {c |}{res}          5       8.20      21.74      86.96
{txt}        3 Somewhat difficult {c |}{res}          2       3.28       8.70      95.65
{txt}        4 Very difficult     {c |}{res}          1       1.64       4.35     100.00
{txt}        Total                {c |}{res}         23      37.70     100.00           
{txt}Missing .                    {c |}{res}         38      62.30                      
{txt}Total                        {c |}{res}         61     100.00                      
{txt}{hline 28}{hline 1}{c BT}{hline 44}

{com}.         
.         gen test_budsect_epol = (budsect_epol != .)
{txt}
{com}.         replace test_budsect_epol = . if asked_survey == 0 
{txt}(37 real changes made, 37 to missing)

{com}.         replace test_budsect_epol = . if elecpol_ovrsee == 0
{txt}(1 real change made, 1 to missing)

{com}.         fre test_budsect_epol
{res}
{txt}test_budsect_epol
{txt}{hline 9}{hline 1}{c TT}{hline 44}
{txt}        {txt}  {c |}      Freq.    Percent      Valid       Cum.
{txt}{hline 9}{hline 1}{c +}{hline 44}
{txt}Valid   1 {c |}{res}         23      37.70     100.00     100.00
{txt}Missing . {c |}{res}         38      62.30                      
{txt}Total     {c |}{res}         61     100.00                      
{txt}{hline 9}{hline 1}{c BT}{hline 44}

{com}.         assert inlist(test_budsect_epol,.,1)
{txt}
{com}.         
.         drop test_budsect_epol
{txt}
{com}.         
.         * budsect_apol
.         
.         lab var budsect_apol "Find about budget allocation to sectors (app. politician)"
{txt}
{com}.         
.         fre budsect_apol
{res}
{txt}budsect_apol {hline 2} Find about budget allocation to sectors (app. politician)
{txt}{hline 8}{hline 1}{c TT}{hline 44}
{txt}        {txt} {c |}      Freq.    Percent      Valid       Cum.
{txt}{hline 8}{hline 1}{c +}{hline 44}
{txt}Missing  {c |}{res}         61     100.00                      
{txt}{hline 8}{hline 1}{c BT}{hline 44}

{com}.         
.         replace budsect_apol = "1" if regexm(budsect_apol,"Very easy")
{txt}(0 real changes made)

{com}.         replace budsect_apol = "2" if regexm(budsect_apol,"Somewhat easy")
{txt}(0 real changes made)

{com}.         replace budsect_apol = "3" if regexm(budsect_apol,"Somewhat difficult")
{txt}(0 real changes made)

{com}.         replace budsect_apol = "4" if regexm(budsect_apol,"Very difficult")
{txt}(0 real changes made)

{com}.         replace budsect_apol = "5" if regexm(budsect_apol,"Not applicable")
{txt}(0 real changes made)

{com}.         replace budsect_apol = "6" if regexm(budsect_apol,"Do not know")
{txt}(0 real changes made)

{com}.         
.         destring budsect_apol, replace
{txt}budsect_apol: all characters numeric; {res}replaced {txt}as {res}byte
{txt}(61 missing values generated)
{res}{txt}
{com}.         lab def budsect_apol 1 "Very easy" 2 "Somewhat easy" 3 "Somewhat difficult" 4 "Very difficult" 5 "Not applicable, this level of government has no spending power" 6 "Do not know / Refuse to answer"
{txt}
{com}.         lab val budsect_apol budsect_apol
{txt}
{com}.         
.         fre budsect_apol
{res}
{txt}budsect_apol {hline 2} Find about budget allocation to sectors (app. politician)
{txt}{hline 13}{hline 1}{c TT}{hline 44}
{txt}        {txt}      {c |}      Freq.    Percent      Valid       Cum.
{txt}{hline 13}{hline 1}{c +}{hline 44}
{txt}Missing .     {c |}{res}         61     100.00                      
{txt}{hline 13}{hline 1}{c BT}{hline 44}

{com}.         
.         gen test_budsect_apol = (budsect_apol != .)
{txt}
{com}.         replace test_budsect_apol = . if asked_survey == 0
{txt}(37 real changes made, 37 to missing)

{com}.         replace test_budsect_apol = . if aptpol_d == 0
{txt}(14 real changes made, 14 to missing)

{com}.         replace test_budsect_apol = . if elecpol_ovrsee == 1 
{txt}(10 real changes made, 10 to missing)

{com}.         fre test_budsect_apol
{res}
{txt}test_budsect_apol
{txt}{hline 9}{hline 1}{c TT}{hline 44}
{txt}        {txt}  {c |}      Freq.    Percent      Valid       Cum.
{txt}{hline 9}{hline 1}{c +}{hline 44}
{txt}Missing . {c |}{res}         61     100.00                      
{txt}{hline 9}{hline 1}{c BT}{hline 44}

{com}.         assert inlist(test_budsect_apol,.,1)
{txt}
{com}.         
.         drop test_budsect_apol
{txt}
{com}.         
.         * acinfexp_epol
.         
.         lab var acinfexp_epol "Obtain detailed info about expenditures (elec. politician)"
{txt}
{com}.         
.         fre acinfexp_epol
{res}
{txt}acinfexp_epol {hline 2} Obtain detailed info about expenditures (elec. politician)
{txt}{hline 26}{hline 1}{c TT}{hline 44}
{txt}        {txt}                   {c |}      Freq.    Percent      Valid       Cum.
{txt}{hline 26}{hline 1}{c +}{hline 44}
{txt}Valid   Somewhat difficult {c |}{res}          5       8.20      21.74      21.74
{txt}        Somewhat easy      {c |}{res}          3       4.92      13.04      34.78
{txt}        Very difficult     {c |}{res}          1       1.64       4.35      39.13
{txt}        Very easy          {c |}{res}         14      22.95      60.87     100.00
{txt}        Total              {c |}{res}         23      37.70     100.00           
{txt}Missing                    {c |}{res}         38      62.30                      
{txt}Total                      {c |}{res}         61     100.00                      
{txt}{hline 26}{hline 1}{c BT}{hline 44}

{com}.         
.         replace acinfexp_epol = "1" if regexm(acinfexp_epol,"Very easy")
{txt}(14 real changes made)

{com}.         replace acinfexp_epol = "2" if regexm(acinfexp_epol,"Somewhat easy")
{txt}(3 real changes made)

{com}.         replace acinfexp_epol = "3" if regexm(acinfexp_epol,"Somewhat difficult")
{txt}(5 real changes made)

{com}.         replace acinfexp_epol = "4" if regexm(acinfexp_epol,"Very difficult")
{txt}(1 real change made)

{com}.         replace acinfexp_epol = "5" if regexm(acinfexp_epol,"Not applicable")
{txt}(0 real changes made)

{com}.         replace acinfexp_epol = "6" if regexm(acinfexp_epol,"Do not know")
{txt}(0 real changes made)

{com}.         
.         destring acinfexp_epol, replace
{txt}acinfexp_epol: all characters numeric; {res}replaced {txt}as {res}byte
{txt}(38 missing values generated)
{res}{txt}
{com}.         lab def acinfexp_epol 1 "Very easy" 2 "Somewhat easy" 3 "Somewhat difficult" 4 "Very difficult" 5 "Not applicable, this level of government has no spending power" 6 "Do not know / Refuse to answer"
{txt}
{com}.         lab val acinfexp_epol acinfexp_epol
{txt}
{com}.         
.         fre acinfexp_epol
{res}
{txt}acinfexp_epol {hline 2} Obtain detailed info about expenditures (elec. politician)
{txt}{hline 28}{hline 1}{c TT}{hline 44}
{txt}        {txt}                     {c |}      Freq.    Percent      Valid       Cum.
{txt}{hline 28}{hline 1}{c +}{hline 44}
{txt}Valid   1 Very easy          {c |}{res}         14      22.95      60.87      60.87
{txt}        2 Somewhat easy      {c |}{res}          3       4.92      13.04      73.91
{txt}        3 Somewhat difficult {c |}{res}          5       8.20      21.74      95.65
{txt}        4 Very difficult     {c |}{res}          1       1.64       4.35     100.00
{txt}        Total                {c |}{res}         23      37.70     100.00           
{txt}Missing .                    {c |}{res}         38      62.30                      
{txt}Total                        {c |}{res}         61     100.00                      
{txt}{hline 28}{hline 1}{c BT}{hline 44}

{com}.         
.         gen test_acinfexp_epol = (acinfexp_epol != .)
{txt}
{com}.         replace test_acinfexp_epol = . if asked_survey == 0 
{txt}(37 real changes made, 37 to missing)

{com}.         replace test_acinfexp_epol = . if elecpol_ovrsee == 0
{txt}(1 real change made, 1 to missing)

{com}.         fre test_acinfexp_epol
{res}
{txt}test_acinfexp_epol
{txt}{hline 9}{hline 1}{c TT}{hline 44}
{txt}        {txt}  {c |}      Freq.    Percent      Valid       Cum.
{txt}{hline 9}{hline 1}{c +}{hline 44}
{txt}Valid   1 {c |}{res}         23      37.70     100.00     100.00
{txt}Missing . {c |}{res}         38      62.30                      
{txt}Total     {c |}{res}         61     100.00                      
{txt}{hline 9}{hline 1}{c BT}{hline 44}

{com}.         assert inlist(test_acinfexp_epol,.,1)
{txt}
{com}.         
.         drop test_acinfexp_epol
{txt}
{com}.         
.         * acinfexp_apol
.         
.         lab var acinfexp_apol "Obtain detailed info about expenditures (app. politician)"
{txt}
{com}.         
.         fre acinfexp_apol
{res}
{txt}acinfexp_apol {hline 2} Obtain detailed info about expenditures (app. politician)
{txt}{hline 8}{hline 1}{c TT}{hline 44}
{txt}        {txt} {c |}      Freq.    Percent      Valid       Cum.
{txt}{hline 8}{hline 1}{c +}{hline 44}
{txt}Missing  {c |}{res}         61     100.00                      
{txt}{hline 8}{hline 1}{c BT}{hline 44}

{com}.         
.         replace acinfexp_apol = "1" if regexm(acinfexp_apol,"Very easy")
{txt}(0 real changes made)

{com}.         replace acinfexp_apol = "2" if regexm(acinfexp_apol,"Somewhat easy")
{txt}(0 real changes made)

{com}.         replace acinfexp_apol = "3" if regexm(acinfexp_apol,"Somewhat difficult")
{txt}(0 real changes made)

{com}.         replace acinfexp_apol = "4" if regexm(acinfexp_apol,"Very difficult")
{txt}(0 real changes made)

{com}.         replace acinfexp_apol = "5" if regexm(acinfexp_apol,"Not applicable")
{txt}(0 real changes made)

{com}.         replace acinfexp_apol = "6" if regexm(acinfexp_apol,"Do not know")
{txt}(0 real changes made)

{com}.         
.         destring acinfexp_apol, replace
{txt}acinfexp_apol: all characters numeric; {res}replaced {txt}as {res}byte
{txt}(61 missing values generated)
{res}{txt}
{com}.         lab def acinfexp_apol 1 "Very easy" 2 "Somewhat easy" 3 "Somewhat difficult" 4 "Very difficult" 5 "Not applicable, this level of government has no spending power" 6 "Do not know / Refuse to answer"
{txt}
{com}.         lab val acinfexp_apol acinfexp_apol
{txt}
{com}.         
.         fre acinfexp_apol
{res}
{txt}acinfexp_apol {hline 2} Obtain detailed info about expenditures (app. politician)
{txt}{hline 13}{hline 1}{c TT}{hline 44}
{txt}        {txt}      {c |}      Freq.    Percent      Valid       Cum.
{txt}{hline 13}{hline 1}{c +}{hline 44}
{txt}Missing .     {c |}{res}         61     100.00                      
{txt}{hline 13}{hline 1}{c BT}{hline 44}

{com}.         
.         gen test_acinfexp_apol = (acinfexp_apol != .)
{txt}
{com}.         replace test_acinfexp_apol = . if asked_survey == 0
{txt}(37 real changes made, 37 to missing)

{com}.         replace test_acinfexp_apol = . if aptpol_d == 0
{txt}(14 real changes made, 14 to missing)

{com}.         replace test_acinfexp_apol = . if elecpol_ovrsee == 1 
{txt}(10 real changes made, 10 to missing)

{com}.         fre test_acinfexp_apol
{res}
{txt}test_acinfexp_apol
{txt}{hline 9}{hline 1}{c TT}{hline 44}
{txt}        {txt}  {c |}      Freq.    Percent      Valid       Cum.
{txt}{hline 9}{hline 1}{c +}{hline 44}
{txt}Missing . {c |}{res}         61     100.00                      
{txt}{hline 9}{hline 1}{c BT}{hline 44}

{com}.         assert inlist(test_acinfexp_apol,.,1)
{txt}
{com}.         
.         drop test_acinfexp_apol
{txt}
{com}.         
.         * understand_epol
.         
.         lab var understand_epol "Has capacity to read/understand budget (elec. politician)"
{txt}
{com}.         
.         fre understand_epol
{res}
{txt}understand_epol {hline 2} Has capacity to read/understand budget (elec. politician)
{txt}{hline 28}{hline 1}{c TT}{hline 44}
{txt}        {txt}                     {c |}      Freq.    Percent      Valid       Cum.
{txt}{hline 28}{hline 1}{c +}{hline 44}
{txt}Valid   Definitely capable   {c |}{res}          1       1.64       5.26       5.26
{txt}        Only with difficulty {c |}{res}          2       3.28      10.53      15.79
{txt}        Somewhat capable     {c |}{res}          9      14.75      47.37      63.16
{txt}        Definitely capable   {c |}{res}          2       3.28      10.53      73.68
{txt}        Only with difficulty {c |}{res}          1       1.64       5.26      78.95
{txt}        Somewhat capable     {c |}{res}          4       6.56      21.05     100.00
{txt}        Total                {c |}{res}         19      31.15     100.00           
{txt}Missing                      {c |}{res}         42      68.85                      
{txt}Total                        {c |}{res}         61     100.00                      
{txt}{hline 28}{hline 1}{c BT}{hline 44}

{com}.         
.         replace understand_epol = "1" if regexm(understand_epol,"Definitely capable")
{txt}(3 real changes made)

{com}.         replace understand_epol = "2" if regexm(understand_epol,"Somewhat capable")
{txt}(13 real changes made)

{com}.         replace understand_epol = "3" if regexm(understand_epol,"Only with difficulty")
{txt}(3 real changes made)

{com}.         replace understand_epol = "4" if regexm(understand_epol,"Not capable")
{txt}(0 real changes made)

{com}.         replace understand_epol = "5" if regexm(understand_epol,"Do not know")
{txt}(0 real changes made)

{com}.         
.         fre understand_epol
{res}
{txt}understand_epol {hline 2} Has capacity to read/understand budget (elec. politician)
{txt}{hline 13}{hline 1}{c TT}{hline 44}
{txt}        {txt}      {c |}      Freq.    Percent      Valid       Cum.
{txt}{hline 13}{hline 1}{c +}{hline 44}
{txt}Valid   1     {c |}{res}          3       4.92      15.79      15.79
{txt}        2     {c |}{res}         13      21.31      68.42      84.21
{txt}        3     {c |}{res}          3       4.92      15.79     100.00
{txt}        Total {c |}{res}         19      31.15     100.00           
{txt}Missing       {c |}{res}         42      68.85                      
{txt}Total         {c |}{res}         61     100.00                      
{txt}{hline 13}{hline 1}{c BT}{hline 44}

{com}.         
.         destring understand_epol, replace
{txt}understand_epol: all characters numeric; {res}replaced {txt}as {res}byte
{txt}(42 missing values generated)
{res}{txt}
{com}.         lab def understand_epol 1 "Definitely capable" 2 "Somewhat capable" 3 "Only with difficulty" 4 "Not capable" 5 "Do not know / Refuse to answer"
{txt}
{com}.         lab val understand_epol understand_epol
{txt}
{com}.         
.         fre understand_epol
{res}
{txt}understand_epol {hline 2} Has capacity to read/understand budget (elec. politician)
{txt}{hline 30}{hline 1}{c TT}{hline 44}
{txt}        {txt}                       {c |}      Freq.    Percent      Valid       Cum.
{txt}{hline 30}{hline 1}{c +}{hline 44}
{txt}Valid   1 Definitely capable   {c |}{res}          3       4.92      15.79      15.79
{txt}        2 Somewhat capable     {c |}{res}         13      21.31      68.42      84.21
{txt}        3 Only with difficulty {c |}{res}          3       4.92      15.79     100.00
{txt}        Total                  {c |}{res}         19      31.15     100.00           
{txt}Missing .                      {c |}{res}         42      68.85                      
{txt}Total                          {c |}{res}         61     100.00                      
{txt}{hline 30}{hline 1}{c BT}{hline 44}

{com}.         
.         gen test_understand_epol = (understand_epol != .)
{txt}
{com}.         replace test_understand_epol = . if asked_survey == 0 
{txt}(37 real changes made, 37 to missing)

{com}.         replace test_understand_epol = . if elecpol_ovrsee == 0
{txt}(1 real change made, 1 to missing)

{com}.         fre test_understand_epol
{res}
{txt}test_understand_epol
{txt}{hline 13}{hline 1}{c TT}{hline 44}
{txt}        {txt}      {c |}      Freq.    Percent      Valid       Cum.
{txt}{hline 13}{hline 1}{c +}{hline 44}
{txt}Valid   0     {c |}{res}          4       6.56      17.39      17.39
{txt}        1     {c |}{res}         19      31.15      82.61     100.00
{txt}        Total {c |}{res}         23      37.70     100.00           
{txt}Missing .     {c |}{res}         38      62.30                      
{txt}Total         {c |}{res}         61     100.00                      
{txt}{hline 13}{hline 1}{c BT}{hline 44}

{com}.         *assert inlist(test_understand_epol,.,1)
.         
.         *drop test_understand_epol
.         
.         * understand_apol
.         
.         lab var understand_apol "Has capacity to read/understand budget (app. politician)"
{txt}
{com}.         
.         fre understand_apol
{res}
{txt}understand_apol {hline 2} Has capacity to read/understand budget (app. politician)
{txt}{hline 28}{hline 1}{c TT}{hline 44}
{txt}        {txt}                     {c |}      Freq.    Percent      Valid       Cum.
{txt}{hline 28}{hline 1}{c +}{hline 44}
{txt}Valid   Definitely capable   {c |}{res}          1       1.64      50.00      50.00
{txt}        Only with difficulty {c |}{res}          1       1.64      50.00     100.00
{txt}        Total                {c |}{res}          2       3.28     100.00           
{txt}Missing                      {c |}{res}         59      96.72                      
{txt}Total                        {c |}{res}         61     100.00                      
{txt}{hline 28}{hline 1}{c BT}{hline 44}

{com}.         
.         replace understand_apol = "1" if regexm(understand_apol,"Definitely capable")
{txt}(1 real change made)

{com}.         replace understand_apol = "2" if regexm(understand_apol,"Somewhat capable")
{txt}(0 real changes made)

{com}.         replace understand_apol = "3" if regexm(understand_apol,"Only with difficulty")
{txt}(1 real change made)

{com}.         replace understand_apol = "4" if regexm(understand_apol,"Not capable")
{txt}(0 real changes made)

{com}.         replace understand_apol = "5" if regexm(understand_apol,"Do not know")
{txt}(0 real changes made)

{com}.         
.         destring understand_apol, replace
{txt}understand_apol: all characters numeric; {res}replaced {txt}as {res}byte
{txt}(59 missing values generated)
{res}{txt}
{com}.         lab def understand_apol 1 "Definitely capable" 2 "Somewhat capable" 3 "Only with difficulty" 4 "Not capable" 5 "Do not know / Refuse to answer"
{txt}
{com}.         lab val understand_apol understand_apol
{txt}
{com}.         
.         fre understand_apol
{res}
{txt}understand_apol {hline 2} Has capacity to read/understand budget (app. politician)
{txt}{hline 30}{hline 1}{c TT}{hline 44}
{txt}        {txt}                       {c |}      Freq.    Percent      Valid       Cum.
{txt}{hline 30}{hline 1}{c +}{hline 44}
{txt}Valid   1 Definitely capable   {c |}{res}          1       1.64      50.00      50.00
{txt}        3 Only with difficulty {c |}{res}          1       1.64      50.00     100.00
{txt}        Total                  {c |}{res}          2       3.28     100.00           
{txt}Missing .                      {c |}{res}         59      96.72                      
{txt}Total                          {c |}{res}         61     100.00                      
{txt}{hline 30}{hline 1}{c BT}{hline 44}

{com}.         
.         gen test_understand_apol = (understand_apol != .)
{txt}
{com}.         replace test_understand_apol = . if asked_survey == 0
{txt}(37 real changes made, 37 to missing)

{com}.         replace test_understand_apol = . if aptpol_d == 0
{txt}(14 real changes made, 14 to missing)

{com}.         replace test_understand_apol = . if elecpol_ovrsee == 1 
{txt}(10 real changes made, 10 to missing)

{com}.         fre test_understand_apol
{res}
{txt}test_understand_apol
{txt}{hline 9}{hline 1}{c TT}{hline 44}
{txt}        {txt}  {c |}      Freq.    Percent      Valid       Cum.
{txt}{hline 9}{hline 1}{c +}{hline 44}
{txt}Missing . {c |}{res}         61     100.00                      
{txt}{hline 9}{hline 1}{c BT}{hline 44}

{com}.         assert inlist(test_understand_apol,.,1)
{txt}
{com}.         
.         drop test_understand_apol
{txt}
{com}.         
.         * acttake_epol
.         
.         lab var acttake_epol "Elec. pol not satisfied with head bureaucrat, which action"
{txt}
{com}.         fre acttake_epol
{res}
{txt}acttake_epol {hline 2} Elec. pol not satisfied with head bureaucrat, which action
{txt}{hline 58}{hline 1}{c TT}{hline 44}
{txt}        {txt}                                                   {c |}      Freq.    Percent      Valid       Cum.
{txt}{hline 58}{hline 1}{c +}{hline 44}
{txt}Valid   Complain to the ministry / higher-up bureaucrats   {c |}{res}          2       3.28       8.70       8.70
{txt}        Complain to the ministry / higher-up               {c |}{res}          1       1.64       4.35      13.04
{txt}        bureaucrats,Complain to higher-level politicians   {c |}{res}                                            
{txt}        Issue a formal warning                             {c |}{res}          1       1.64       4.35      17.39
{txt}        Issue a formal warning,Complain to the ministry /  {c |}{res}          2       3.28       8.70      26.09
{txt}        higher-up bureaucrats,Complain to higher-level     {c |}{res}                                            
{txt}        politicians                                        {c |}{res}                                            
{txt}        Other (please specify)                             {c |}{res}          2       3.28       8.70      34.78
{txt}        Request a transfer with high probability of        {c |}{res}          2       3.28       8.70      43.48
{txt}        success                                            {c |}{res}                                            
{txt}        Request a transfer with high probability of        {c |}{res}          1       1.64       4.35      47.83
{txt}        success,Issue a formal warning,Complain to the     {c |}{res}                                            
{txt}        ministry / higher-up bureaucrats                   {c |}{res}                                            
{txt}        Request a transfer with low probability of success {c |}{res}          1       1.64       4.35      52.17
{txt}        Request a transfer with low probability of         {c |}{res}          1       1.64       4.35      56.52
{txt}        success,Complain to the ministry / higher-up       {c |}{res}                                            
{txt}        bureaucrats,Bring the issue to the attention of    {c |}{res}                                            
{txt}        the media,Mobilize citizens                        {c |}{res}                                            
{txt}        Request a transfer with medium probability of      {c |}{res}          2       3.28       8.70      65.22
{txt}        success                                            {c |}{res}                                            
{txt}        Request a transfer with medium probability of      {c |}{res}          1       1.64       4.35      69.57
{txt}        success,Issue a formal warning,Complain to the     {c |}{res}                                            
{txt}        ministry / higher-up bureaucrats,Complain to       {c |}{res}                                            
{txt}        higher-level politicians                           {c |}{res}                                            
{txt}        Terminate contract/fire bureaucrat                 {c |}{res}          1       1.64       4.35      73.91
{txt}        Terminate contract/fire bureaucrat,Transfer the    {c |}{res}          3       4.92      13.04      86.96
{txt}        bureaucrat,Issue a formal warning,Bring the issue  {c |}{res}                                            
{txt}        to the attention of the media                      {c |}{res}                                            
{txt}        Transfer the bureaucrat                            {c |}{res}          1       1.64       4.35      91.30
{txt}        Transfer the bureaucrat,Other (please specify)     {c |}{res}          2       3.28       8.70     100.00
{txt}        Total                                              {c |}{res}         23      37.70     100.00           
{txt}Missing                                                    {c |}{res}         38      62.30                      
{txt}Total                                                      {c |}{res}         61     100.00                      
{txt}{hline 58}{hline 1}{c BT}{hline 44}

{com}.         
.         replace acttake_epol = subinstr(acttake_epol,","," ",.)
{txt}(11 real changes made)

{com}.         replace acttake_epol = subinstr(acttake_epol,"Terminate contract/fire bureaucrat","1",.)
{txt}(4 real changes made)

{com}.         replace acttake_epol = subinstr(acttake_epol,"Transfer the bureaucrat","2",.)
{txt}(6 real changes made)

{com}.         replace acttake_epol = subinstr(acttake_epol,"Request a transfer with high probability of success","3",.)
{txt}(3 real changes made)

{com}.         replace acttake_epol = subinstr(acttake_epol,"Request a transfer with medium probability of success","4",.)
{txt}(3 real changes made)

{com}.         replace acttake_epol = subinstr(acttake_epol,"Request a transfer with low probability of success","5",.)
{txt}(2 real changes made)

{com}.         replace acttake_epol = subinstr(acttake_epol,"Issue a formal warning","6",.)
{txt}(8 real changes made)

{com}.         replace acttake_epol = subinstr(acttake_epol,"Complain to the ministry / higher-up bureaucrats","7",.)
{txt}(8 real changes made)

{com}.         replace acttake_epol = subinstr(acttake_epol,"Complain to higher-level politicians","8",.)
{txt}(4 real changes made)

{com}.         replace acttake_epol = subinstr(acttake_epol,"Bring the issue to the attention of the media","9",.)
{txt}(4 real changes made)

{com}.         replace acttake_epol = subinstr(acttake_epol,"Mobilize citizens","10",.)
{txt}(1 real change made)

{com}.         replace acttake_epol = subinstr(acttake_epol,"Other (please specify)","11",.)
{txt}(4 real changes made)

{com}.         replace acttake_epol = subinstr(acttake_epol,"None","12",.)
{txt}(0 real changes made)

{com}.         replace acttake_epol = subinstr(acttake_epol,"Do not know / Refuse to answer","98",.)
{txt}(0 real changes made)

{com}.         
.         forvalues x = 12(-1)1 {c -(}
{txt}  2{com}.         
.                 gen acttake_epol_d_`x' = .
{txt}  3{com}.                 replace acttake_epol_d_`x' = 0 if acttake_epol != ""
{txt}  4{com}.                 replace acttake_epol_d_`x' = 1 if regexm(acttake_epol == "`x'")
{txt}  5{com}.                 lab def acttake_epol_d_`x' 0 "No" 1 "Yes"
{txt}  6{com}.                 lab val acttake_epol_d_`x' acttake_epol_d_`x'
{txt}  7{com}.                 order acttake_epol_d_`x', after(acttake_epol)
{txt}  8{com}.                 {c )-}
{txt}(61 missing values generated)
(23 real changes made)
{err}invalid syntax
{txt}{search r(198), local:r(198);}

end of do-file

{search r(198), local:r(198);}

{com}. do "/var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//SD44938.000000"
{txt}
{com}. 
.         * Purpose: Importing data to run HFC
.         
.         * Setting up globals
.         
.         if "`c(username)'" == "fredericcochinard" {c -(}
.                 
.                 global import_folder "/Users/fredericcochinard/Dropbox/Expert survey/Data/0.survey_dataset/0.import"
.                 global output "/Users/fredericcochinard/Dropbox/Expert survey/Data/0.survey_dataset/1.output"
.                 
.                 {c )-}
{txt}
{com}.                 
.         if "`c(username)'" == "" {c -(}
.         
.                 
.                 {c )-}
{txt}
{com}.         
.         * Looking for renaming folder with problem
.         
.         local myfiles: dir "$import_folder" files "*.xlsx"
{txt}
{com}. 
.         foreach file of local myfiles {c -(}
{txt}  2{com}.                 
.                 local subfile = substr("`file'", 1, .)
{txt}  3{com}.                 local subfile : subinstr local subfile " " "_", all
{txt}  4{com}.                 ! mv "${c -(}import_folder{c )-}/`file'" "${c -(}import_folder{c )-}/`subfile'"
{txt}  5{com}.                 
.                 {c )-}
{txt}

{com}.         
.         * Looking for dataset
.         
.         filelist , dir("$import_folder") pat("*.xlsx")
{res}{txt}Number of files found = {res}1
{txt}
{com}.         
.         gen url = filename
{txt}
{com}.         
.         levelsof url
{txt}`"Expert_survey_February_18,_2025_16.23.xlsx"'

{com}. 
.         local lvlfiles `r(levels)'
{txt}
{com}.         
.         local z = 0
{txt}
{com}.         
.         foreach lvl of local lvlfiles {c -(}
{txt}  2{com}.         
.                 local z = `z' + 1
{txt}  3{com}.                 
.                 local temp : subinstr local lvl `"""' "", all
{txt}  4{com}.                 local url : subinstr local temp "'" "", all
{txt}  5{com}.         
.                 import excel "${c -(}import_folder{c )-}/`url'", first case(lower) clear
{txt}  6{com}.                 
.                 gen num = _n
{txt}  7{com}.                 drop if num == 1
{txt}  8{com}.                 
.                 * Preparing the append
.                 
.                 tempfile data`z'
{txt}  9{com}.                 sa "`data`z''"
{txt} 10{com}.                 
.                 {c )-}
{res}{txt}(1 observation deleted)
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.000001 saved

{com}.                 
.         * We append the dataset to start cleaning
.         
.         use "`data1'", clear
{txt}
{com}.         
.         forvalues x = 2/`z' {c -(}
{txt}  2{com}.         
.                 append using "`data`x''"
{txt}  3{com}.                 
.                 {c )-}
{txt}
{com}.                 
.         duplicates drop

{p 0 4}{txt}Duplicates in terms of {txt} all variables{p_end}

(0 observations are duplicates)

{com}.         
.         * We keep relevant variable
.         drop if recipientemail == "frederic.cochinard@gmail.com"
{txt}(8 observations deleted)

{com}.         drop if recipientemail == "vedpant+spanish@college.harvard.edu"
{txt}(1 observation deleted)

{com}.         drop if recipientemail == "frederic.cochinard+3@gmail.com"
{txt}(1 observation deleted)

{com}.         drop if recipientemail == "frederic.cochinard+1@gmail.com"
{txt}(1 observation deleted)

{com}.         
.         * We remove observation that are not finished
.         drop if finished == "False"
{txt}(9 observations deleted)

{com}.         
.         * We create a save
.         
.         tempfile save_data
{txt}
{com}.         sa "`save_data'"
{txt}file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.000002 saved

{com}.         
.         ******************
.         * Payment module *
.         ******************
.         
.         preserve
{txt}
{com}.         
.         keep responseid method_pay_bank_in_q-q977
{txt}
{com}.         compress
  {txt}variable {bf}method_pay_bank_in_q{sf} was {bf}{res}str237{sf}{txt} now {bf}{res}str24{sf}
  {txt}variable {bf}expert_donation_org{sf} was {bf}{res}str129{sf}{txt} now {bf}{res}str23{sf}
  {txt}variable {bf}q967{sf} was {bf}{res}str236{sf}{txt} now {bf}{res}str65{sf}
  {txt}variable {bf}q978{sf} was {bf}{res}str326{sf}{txt} now {bf}{res}str16{sf}
  {txt}variable {bf}q979{sf} was {bf}{res}str104{sf}{txt} now {bf}{res}str39{sf}
  {txt}variable {bf}q980{sf} was {bf}{res}str95{sf}{txt} now {bf}{res}str11{sf}
  {txt}variable {bf}q987{sf} was {bf}{res}str170{sf}{txt} now {bf}{res}str24{sf}
  {txt}variable {bf}q984{sf} was {bf}{res}str326{sf}{txt} now {bf}{res}str1{sf}
  {txt}variable {bf}q985{sf} was {bf}{res}str104{sf}{txt} now {bf}{res}str1{sf}
  {txt}variable {bf}q986{sf} was {bf}{res}str95{sf}{txt} now {bf}{res}str1{sf}
  {txt}variable {bf}q988{sf} was {bf}{res}str170{sf}{txt} now {bf}{res}str1{sf}
  {txt}variable {bf}q989{sf} was {bf}{res}str559{sf}{txt} now {bf}{res}str1{sf}
  {txt}variable {bf}q990{sf} was {bf}{res}str102{sf}{txt} now {bf}{res}str1{sf}
  {txt}variable {bf}q991{sf} was {bf}{res}str93{sf}{txt} now {bf}{res}str1{sf}
  {txt}variable {bf}q992{sf} was {bf}{res}str170{sf}{txt} now {bf}{res}str1{sf}
  {txt}variable {bf}q998{sf} was {bf}{res}str537{sf}{txt} now {bf}{res}str1{sf}
  {txt}variable {bf}q997{sf} was {bf}{res}str105{sf}{txt} now {bf}{res}str1{sf}
  {txt}variable {bf}q999{sf} was {bf}{res}str104{sf}{txt} now {bf}{res}str1{sf}
  {txt}variable {bf}q1000{sf} was {bf}{res}str95{sf}{txt} now {bf}{res}str1{sf}
  {txt}variable {bf}q1001{sf} was {bf}{res}str170{sf}{txt} now {bf}{res}str1{sf}
  {txt}variable {bf}q977{sf} was {bf}{res}str502{sf}{txt} now {bf}{res}str23{sf}
{txt}  (46,101 bytes saved)

{com}.         
.         * Donate_d
.         
.         gen donate_d = 0
{txt}
{com}.         replace donate_d = 1 if method_pay_bank_in_q == "I prefer to donate"
{txt}(3 real changes made)

{com}.         
.         * Special case
.         replace donate_d = 1 if responseid == "R_4ouc7tR6BFj3gpb" // respondent is refusing to take money in comments
{txt}(1 real change made)

{com}.         replace donate_d = 1 if responseid == "R_4Iow7YzsoT2KTOx" // respondent is writing cancel in comments
{txt}(1 real change made)

{com}.         
.         lab var donate_d "Respondent decided to donate"
{txt}
{com}.         lab def donate_d 0 "No" 1 "Yes"
{txt}
{com}.         lab val donate_d donate_d
{txt}
{com}.         order donate_d, after(responseid)
{txt}
{com}.         
.         * Org
.         
.         gen org_donation_id = "" 
{txt}(11 missing values generated)

{com}.         replace org_donation_id = expert_donation_org if donate_d == 1
{txt}variable {bf}org_donation_id{sf} was {bf}{res}str1{sf}{txt} now {bf}{res}str23{sf}
{txt}(3 real changes made)

{com}.         replace org_donation_id = "No choice" if donate_d == 1 & org_donation_id == ""
{txt}(2 real changes made)

{com}.         lab var org_donation_id "Name of the organization the respondent chose to donate"
{txt}
{com}.         order org_donation_id, after(donate_d)
{txt}
{com}.         
.         * Paid status
.         
.         gen paid_status = 0
{txt}
{com}.         replace paid_status = 2 if donate_d == 1
{txt}(5 real changes made)

{com}.         
.         * Case of payment
.         
.         lab var paid_status "Status of payment of the respondent"
{txt}
{com}.         lab def paid_status 0 "Not yet" 1 "Yes" 2 "Donation"
{txt}
{com}.         lab val paid_status paid_status
{txt}
{com}.         order paid_status, after(org_donation_id)
{txt}
{com}.         
.         keep responseid donate_d org_donation_id paid_status
{txt}
{com}.         
.         tempfile payment_module
{txt}
{com}.         sa "`payment_module'"
{txt}file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.000004 saved

{com}.         
.         restore
{txt}
{com}.         
.         * Main form of survey 
.         keep country full_name recipientemail responseid progress durationinseconds finished userlanguage num_unit confirmation_* ///
>         title_bur* elecpol_ovrsee* title_elecpol* aptpol_d* title_aptpol* who_aptpol* mostinf_servdel* educ_elecpolbur* ///
>         educ_apolbur* slry_elecpolbur* slry_apolbur* fdout_epol_bgt* fdout_apol_bgt* budsect_epol* budsect_apol* acinfexp_epol* /// 
>         acinfexp_apol* understand_epol* understand_apol* acttake_epol* acttake_epol* acttake_apol* acttake_apol* likely* why_likchan* /// 
>         who_apt_bur* who_apt_bur* who_fir_bur* who_fir_bur* ocap_epol* ocap_apol* prio_epol* prio_apol* overall_conf* avg_educ_epol* ///
>         avg_educ_apol* avg_educ_buro* avg_slry_epol* avg_slry_apol* avg_slry_buro* //
{txt}
{com}.         
.         destring durationinseconds progress, replace
{txt}durationinseconds: all characters numeric; {res}replaced {txt}as {res}int
{txt}progress: all characters numeric; {res}replaced {txt}as {res}byte
{txt}
{com}.         replace durationinseconds = round(durationinseconds/60)
{txt}(11 real changes made)

{com}.         ren durationinseconds duration_minutes
{res}{txt}
{com}. 
.         *--
.         
.         local id country full_name recipientemail responseid userlanguage num_unit finished progress duration_minutes
{txt}
{com}.         
.         order `id', first
{txt}
{com}.         duplicates drop `id', force

{p 0 4}{txt}Duplicates in terms of {res} country full_name recipientemail responseid userlanguage num_unit finished progress duration_minutes{p_end}

{txt}(0 observations are duplicates)

{com}.         
.         * Renaming others
.         
.         forvalues x = 1/3 {c -(}
{txt}  2{com}.                 
.                 forvalues y = 1/6 {c -(} 
{txt}  3{com}.                 
.                         cap ren who_apt_bur_`x'_`y'_8_text who_apt_buroth_`x'_`y'
{txt}  4{com}.                         cap ren who_fir_bur_`x'_`y'_8_text who_fir_buroth_`x'_`y'
{txt}  5{com}.                         cap ren acttake_epol_`x'_`y'_9_text acttake_epoloth_`x'_`y'
{txt}  6{com}.                         cap ren acttake_apol_`x'_`y'_9_text acttake_apoloth_`x'_`y'
{txt}  7{com}.                         
.                         {c )-}
{txt}  8{com}.                         
.                 {c )-}
{txt}
{com}.         
.         #delimit ;
{txt}delimiter now ;
{com}.         local var confirmation
>         title_bur 
>         elecpol_ovrsee
>         title_elecpol
>         aptpol_d
>         title_aptpol
>         who_aptpol
>         mostinf_servdel
>         educ_elecpolbur
>         educ_apolbur
>         slry_elecpolbur
>         slry_apolbur
>         fdout_epol_bgt
>         fdout_apol_bgt
>         budsect_epol
>         budsect_apol
>         acinfexp_epol
>         acinfexp_apol
>         understand_epol
>         understand_apol
>         acttake_epol
>         acttake_epoloth
>         acttake_apol
>         acttake_apoloth
>         likely
>         why_likchan
>         who_apt_bur
>         who_apt_buroth
>         who_fir_bur
>         who_fir_buroth
>         ocap_epol
>         ocap_apol
>         prio_epol
>         prio_apol
>         overall_conf
>         avg_educ_epol
>         avg_educ_apol
>         avg_educ_buro
>         avg_slry_epol
>         avg_slry_apol
>         avg_slry_buro
>         
>         ;
{txt}
{com}.                 #delimit cr
{txt}delimiter now cr
{com}. 
.         reshape long `var', i(`id') j(pos) s
{txt}(note: j = _1_1 _1_4 _1_5 _1_6 _2_1 _2_2 _2_4 _2_5 _2_6 _3_1 _3_2 _3_3 _3_4 _3_5 _3_6)
(note: confirmation_1_4 not found)
(note: confirmation_1_5 not found)
(note: confirmation_1_6 not found)
(note: confirmation_2_4 not found)
(note: confirmation_2_5 not found)
(note: confirmation_2_6 not found)
(note: confirmation_3_4 not found)
(note: confirmation_3_5 not found)
(note: confirmation_3_6 not found)

Data{col 36}wide{col 43}->{col 48}long
{hline 77}
Number of obs.                 {res}      11   {txt}->{res}     165
{txt}Number of variables            {res}     615   {txt}->{res}      51
{txt}j variable (15 values)                    ->   {res}pos
{txt}xij variables:
{res}confirmation_1_1 confirmation_1_4 ... confirmation_3_6{txt}->{res}confirmation
title_bur_1_1 title_bur_1_4 ... title_bur_3_6{txt}->{res}title_bur
elecpol_ovrsee_1_1 elecpol_ovrsee_1_4 ... elecpol_ovrsee_3_6{txt}->{res}elecpol_ovrsee
title_elecpol_1_1 title_elecpol_1_4 ... title_elecpol_3_6{txt}->{res}title_elecpol
aptpol_d_1_1 aptpol_d_1_4 ... aptpol_d_3_6{txt}->   {res}aptpol_d
title_aptpol_1_1 title_aptpol_1_4 ... title_aptpol_3_6{txt}->{res}title_aptpol
who_aptpol_1_1 who_aptpol_1_4 ... who_aptpol_3_6{txt}->{res}who_aptpol
mostinf_servdel_1_1 mostinf_servdel_1_4 ... mostinf_servdel_3_6{txt}->{res}mostinf_servdel
educ_elecpolbur_1_1 educ_elecpolbur_1_4 ... educ_elecpolbur_3_6{txt}->{res}educ_elecpolbur
educ_apolbur_1_1 educ_apolbur_1_4 ... educ_apolbur_3_6{txt}->{res}educ_apolbur
slry_elecpolbur_1_1 slry_elecpolbur_1_4 ... slry_elecpolbur_3_6{txt}->{res}slry_elecpolbur
slry_apolbur_1_1 slry_apolbur_1_4 ... slry_apolbur_3_6{txt}->{res}slry_apolbur
fdout_epol_bgt_1_1 fdout_epol_bgt_1_4 ... fdout_epol_bgt_3_6{txt}->{res}fdout_epol_bgt
fdout_apol_bgt_1_1 fdout_apol_bgt_1_4 ... fdout_apol_bgt_3_6{txt}->{res}fdout_apol_bgt
budsect_epol_1_1 budsect_epol_1_4 ... budsect_epol_3_6{txt}->{res}budsect_epol
budsect_apol_1_1 budsect_apol_1_4 ... budsect_apol_3_6{txt}->{res}budsect_apol
acinfexp_epol_1_1 acinfexp_epol_1_4 ... acinfexp_epol_3_6{txt}->{res}acinfexp_epol
acinfexp_apol_1_1 acinfexp_apol_1_4 ... acinfexp_apol_3_6{txt}->{res}acinfexp_apol
understand_epol_1_1 understand_epol_1_4 ... understand_epol_3_6{txt}->{res}understand_epol
understand_apol_1_1 understand_apol_1_4 ... understand_apol_3_6{txt}->{res}understand_apol
acttake_epol_1_1 acttake_epol_1_4 ... acttake_epol_3_6{txt}->{res}acttake_epol
acttake_epoloth_1_1 acttake_epoloth_1_4 ... acttake_epoloth_3_6{txt}->{res}acttake_epoloth
acttake_apol_1_1 acttake_apol_1_4 ... acttake_apol_3_6{txt}->{res}acttake_apol
acttake_apoloth_1_1 acttake_apoloth_1_4 ... acttake_apoloth_3_6{txt}->{res}acttake_apoloth
   likely_1_1 likely_1_4 ... likely_3_6   {txt}->   {res}likely
why_likchan_1_1 why_likchan_1_4 ... why_likchan_3_6{txt}->{res}why_likchan
who_apt_bur_1_1 who_apt_bur_1_4 ... who_apt_bur_3_6{txt}->{res}who_apt_bur
who_apt_buroth_1_1 who_apt_buroth_1_4 ... who_apt_buroth_3_6{txt}->{res}who_apt_buroth
who_fir_bur_1_1 who_fir_bur_1_4 ... who_fir_bur_3_6{txt}->{res}who_fir_bur
who_fir_buroth_1_1 who_fir_buroth_1_4 ... who_fir_buroth_3_6{txt}->{res}who_fir_buroth
ocap_epol_1_1 ocap_epol_1_4 ... ocap_epol_3_6{txt}->{res}ocap_epol
ocap_apol_1_1 ocap_apol_1_4 ... ocap_apol_3_6{txt}->{res}ocap_apol
prio_epol_1_1 prio_epol_1_4 ... prio_epol_3_6{txt}->{res}prio_epol
prio_apol_1_1 prio_apol_1_4 ... prio_apol_3_6{txt}->{res}prio_apol
overall_conf_1_1 overall_conf_1_4 ... overall_conf_3_6{txt}->{res}overall_conf
avg_educ_epol_1_1 avg_educ_epol_1_4 ... avg_educ_epol_3_6{txt}->{res}avg_educ_epol
avg_educ_apol_1_1 avg_educ_apol_1_4 ... avg_educ_apol_3_6{txt}->{res}avg_educ_apol
avg_educ_buro_1_1 avg_educ_buro_1_4 ... avg_educ_buro_3_6{txt}->{res}avg_educ_buro
avg_slry_epol_1_1 avg_slry_epol_1_4 ... avg_slry_epol_3_6{txt}->{res}avg_slry_epol
avg_slry_apol_1_1 avg_slry_apol_1_4 ... avg_slry_apol_3_6{txt}->{res}avg_slry_apol
avg_slry_buro_1_1 avg_slry_buro_1_4 ... avg_slry_buro_3_6{txt}->{res}avg_slry_buro
{txt}{hline 77}

{com}.         
.         * Filter data
.         
.         split pos, p("_")
{res}variables created as string: 
{txt}{col 1}pos1{col 7}pos2{col 13}pos3

{com}.         
.         drop pos1
{txt}
{com}.         ren pos2 case_n_unit
{res}{txt}
{com}.         ren pos3 unit_num
{res}{txt}
{com}.         destring case_n_unit unit_num, replace
{txt}case_n_unit: all characters numeric; {res}replaced {txt}as {res}byte
{txt}unit_num: all characters numeric; {res}replaced {txt}as {res}byte
{txt}
{com}.         order case_n_unit unit_num, after(duration_minutes)
{txt}
{com}.         drop pos
{txt}
{com}.         
.         destring num_unit, replace
{txt}num_unit: all characters numeric; {res}replaced {txt}as {res}byte
{txt}
{com}.         drop if num_unit != case_n_unit
{txt}(104 observations deleted)

{com}.         drop num_unit
{txt}
{com}.         
.         compress
  {txt}variable {bf}country{sf} was {bf}{res}str15{sf}{txt} now {bf}{res}str11{sf}
  {txt}variable {bf}full_name{sf} was {bf}{res}str28{sf}{txt} now {bf}{res}str23{sf}
  {txt}variable {bf}recipientemail{sf} was {bf}{res}str35{sf}{txt} now {bf}{res}str32{sf}
  {txt}variable {bf}userlanguage{sf} was {bf}{res}str13{sf}{txt} now {bf}{res}str2{sf}
  {txt}variable {bf}finished{sf} was {bf}{res}str8{sf}{txt} now {bf}{res}str4{sf}
  {txt}variable {bf}title_bur{sf} was {bf}{res}str448{sf}{txt} now {bf}{res}str235{sf}
  {txt}variable {bf}elecpol_ovrsee{sf} was {bf}{res}str352{sf}{txt} now {bf}{res}str3{sf}
  {txt}variable {bf}title_elecpol{sf} was {bf}{res}str312{sf}{txt} now {bf}{res}str288{sf}
  {txt}variable {bf}aptpol_d{sf} was {bf}{res}str332{sf}{txt} now {bf}{res}str30{sf}
  {txt}variable {bf}who_aptpol{sf} was {bf}{res}str96{sf}{txt} now {bf}{res}str84{sf}
  {txt}variable {bf}mostinf_servdel{sf} was {bf}{res}str256{sf}{txt} now {bf}{res}str44{sf}
  {txt}variable {bf}educ_elecpolbur{sf} was {bf}{res}str258{sf}{txt} now {bf}{res}str51{sf}
  {txt}variable {bf}educ_apolbur{sf} was {bf}{res}str260{sf}{txt} now {bf}{res}str1{sf}
  {txt}variable {bf}slry_elecpolbur{sf} was {bf}{res}str316{sf}{txt} now {bf}{res}str47{sf}
  {txt}variable {bf}slry_apolbur{sf} was {bf}{res}str318{sf}{txt} now {bf}{res}str1{sf}
  {txt}variable {bf}fdout_epol_bgt{sf} was {bf}{res}str373{sf}{txt} now {bf}{res}str19{sf}
  {txt}variable {bf}fdout_apol_bgt{sf} was {bf}{res}str375{sf}{txt} now {bf}{res}str1{sf}
  {txt}variable {bf}budsect_epol{sf} was {bf}{res}str217{sf}{txt} now {bf}{res}str19{sf}
  {txt}variable {bf}budsect_apol{sf} was {bf}{res}str219{sf}{txt} now {bf}{res}str1{sf}
  {txt}variable {bf}acinfexp_epol{sf} was {bf}{res}str216{sf}{txt} now {bf}{res}str19{sf}
  {txt}variable {bf}acinfexp_apol{sf} was {bf}{res}str218{sf}{txt} now {bf}{res}str1{sf}
  {txt}variable {bf}understand_epol{sf} was {bf}{res}str214{sf}{txt} now {bf}{res}str21{sf}
  {txt}variable {bf}understand_apol{sf} was {bf}{res}str216{sf}{txt} now {bf}{res}str21{sf}
  {txt}variable {bf}acttake_epol{sf} was {bf}{res}str247{sf}{txt} now {bf}{res}str163{sf}
  {txt}variable {bf}acttake_epoloth{sf} was {bf}{res}str261{sf}{txt} now {bf}{res}str63{sf}
  {txt}variable {bf}acttake_apol{sf} was {bf}{res}str250{sf}{txt} now {bf}{res}str1{sf}
  {txt}variable {bf}acttake_apoloth{sf} was {bf}{res}str264{sf}{txt} now {bf}{res}str1{sf}
  {txt}variable {bf}likely{sf} was {bf}{res}str159{sf}{txt} now {bf}{res}str18{sf}
  {txt}variable {bf}who_apt_bur{sf} was {bf}{res}str126{sf}{txt} now {bf}{res}str64{sf}
  {txt}variable {bf}who_fir_bur{sf} was {bf}{res}str120{sf}{txt} now {bf}{res}str64{sf}
  {txt}variable {bf}who_fir_buroth{sf} was {bf}{res}str134{sf}{txt} now {bf}{res}str77{sf}
  {txt}variable {bf}ocap_epol{sf} was {bf}{res}str359{sf}{txt} now {bf}{res}str55{sf}
  {txt}variable {bf}ocap_apol{sf} was {bf}{res}str361{sf}{txt} now {bf}{res}str1{sf}
  {txt}variable {bf}prio_epol{sf} was {bf}{res}str209{sf}{txt} now {bf}{res}str73{sf}
  {txt}variable {bf}prio_apol{sf} was {bf}{res}str211{sf}{txt} now {bf}{res}str1{sf}
  {txt}variable {bf}overall_conf{sf} was {bf}{res}str191{sf}{txt} now {bf}{res}str17{sf}
  {txt}variable {bf}avg_educ_buro{sf} was {bf}{res}str117{sf}{txt} now {bf}{res}str101{sf}
  {txt}variable {bf}avg_slry_apol{sf} was {bf}{res}str134{sf}{txt} now {bf}{res}str128{sf}
  {txt}variable {bf}avg_slry_buro{sf} was {bf}{res}str134{sf}{txt} now {bf}{res}str87{sf}
  {txt}variable {bf}confirmation{sf} was {bf}{res}str1148{sf}{txt} now {bf}{res}str63{sf}
{txt}  (462,685 bytes saved)

{com}.         
.         * We edit the label 
.         
.         lab var country "Country"
{txt}
{com}.         lab var full_name  "Full name of recipient"
{txt}
{com}.         lab var recipientemail "Recipient email"
{txt}
{com}.         lab var userlanguage "Language used to answer"
{txt}
{com}.         lab var finished "Completion status"
{txt}
{com}.         lab var progress "Progress"
{txt}
{com}.         lab var duration_minutes "Duration in minutes"
{txt}
{com}.         lab var case_n_unit "Original number of entities"
{txt}
{com}.         lab var unit_num "Unit number"
{txt}
{com}.         
.         * Confirmation
.         
.         fre confirmation
{res}
{txt}confirmation
{txt}{hline 54}{hline 1}{c TT}{hline 44}
{txt}        {txt}                                               {c |}      Freq.    Percent      Valid       Cum.
{txt}{hline 54}{hline 1}{c +}{hline 44}
{txt}Valid   No, this is inaccurate. This level needs to be {c |}{res}          2       3.28       7.14       7.14
{txt}        replaced/deleted                               {c |}{res}                                            
{txt}        No, this level needs to be replaced/deleted    {c |}{res}          2       3.28       7.14      14.29
{txt}        Yes, this is accurate                          {c |}{res}         24      39.34      85.71     100.00
{txt}        Total                                          {c |}{res}         28      45.90     100.00           
{txt}Missing                                                {c |}{res}         33      54.10                      
{txt}Total                                                  {c |}{res}         61     100.00                      
{txt}{hline 54}{hline 1}{c BT}{hline 44}

{com}.         replace confirmation = "1" if confirmation == "Yes, this is accurate"
{txt}(24 real changes made)

{com}.         replace confirmation = "0" if regexm(confirmation,"No")
{txt}(4 real changes made)

{com}.         destring confirmation, replace
{txt}confirmation: all characters numeric; {res}replaced {txt}as {res}byte
{txt}(33 missing values generated)
{res}{txt}
{com}.         
.         lab var confirmation "Confirmation of adequacy of unit"
{txt}
{com}.         lab def confirmation 0 "No, this is not accurate. It should be replaced/deleted" 1 "Yes, this is accurate"
{txt}
{com}.         lab val confirmation confirmation
{txt}
{com}.         
.         fre confirmation
{res}
{txt}confirmation {hline 2} Confirmation of adequacy of unit
{txt}{hline 48}{hline 1}{c TT}{hline 44}
{txt}        {txt}                                         {c |}      Freq.    Percent      Valid       Cum.
{txt}{hline 48}{hline 1}{c +}{hline 44}
{txt}Valid   0 No, this is not accurate. It should be {c |}{res}          4       6.56      14.29      14.29
{txt}          replaced/deleted                       {c |}{res}                                            
{txt}        1 Yes, this is accurate                  {c |}{res}         24      39.34      85.71     100.00
{txt}        Total                                    {c |}{res}         28      45.90     100.00           
{txt}Missing .                                        {c |}{res}         33      54.10                      
{txt}Total                                            {c |}{res}         61     100.00                      
{txt}{hline 48}{hline 1}{c BT}{hline 44}

{com}.         
.         order confirmation, after(unit_num)
{txt}
{com}.         
.         * Creating variable about asked_survey (should be updated)
.         
.         gen asked_survey = 0
{txt}
{com}.         replace asked_survey = 1 if confirmation == 1
{txt}(24 real changes made)

{com}.         lab var asked_survey "Survey question asked to respondent"
{txt}
{com}.         lab def yesno 0 "No" 1 "Yes"
{txt}
{com}.         lab val asked_survey yesno
{txt}
{com}.         order asked_survey, after(confirmation)
{txt}
{com}.         
.         * title_bur
.         
.         lab var title_bur "Title of the highest-level bureaucrat in unit"
{txt}
{com}.         
.         gen test_title_bur = (title_bur != "")
{txt}
{com}.         replace test_title_bur = . if asked_survey == 0
{txt}(37 real changes made, 37 to missing)

{com}.         fre test_title_bur
{res}
{txt}test_title_bur
{txt}{hline 9}{hline 1}{c TT}{hline 44}
{txt}        {txt}  {c |}      Freq.    Percent      Valid       Cum.
{txt}{hline 9}{hline 1}{c +}{hline 44}
{txt}Valid   1 {c |}{res}         24      39.34     100.00     100.00
{txt}Missing . {c |}{res}         37      60.66                      
{txt}Total     {c |}{res}         61     100.00                      
{txt}{hline 9}{hline 1}{c BT}{hline 44}

{com}.         assert inlist(test_title_bur,.,1)
{txt}
{com}.         
.         drop test_title_bur
{txt}
{com}.         
.         * elecpol_ovrsee
.         
.         lab var elecpol_ovrsee "Any politicians in unit overseeing service delivery"
{txt}
{com}.         replace elecpol_ovrsee = "0" if elecpol_ovrsee == "No"
{txt}(2 real changes made)

{com}.         replace elecpol_ovrsee = "1" if elecpol_ovrsee == "Yes"
{txt}(23 real changes made)

{com}.         destring elecpol_ovrsee, replace
{txt}elecpol_ovrsee: all characters numeric; {res}replaced {txt}as {res}byte
{txt}(36 missing values generated)
{res}{txt}
{com}.         lab val elecpol_ovrsee yesno
{txt}
{com}.         
.         fre elecpol_ovrsee
{res}
{txt}elecpol_ovrsee {hline 2} Any politicians in unit overseeing service delivery
{txt}{hline 13}{hline 1}{c TT}{hline 44}
{txt}        {txt}      {c |}      Freq.    Percent      Valid       Cum.
{txt}{hline 13}{hline 1}{c +}{hline 44}
{txt}Valid   0 No  {c |}{res}          2       3.28       8.00       8.00
{txt}        1 Yes {c |}{res}         23      37.70      92.00     100.00
{txt}        Total {c |}{res}         25      40.98     100.00           
{txt}Missing .     {c |}{res}         36      59.02                      
{txt}Total         {c |}{res}         61     100.00                      
{txt}{hline 13}{hline 1}{c BT}{hline 44}

{com}.         
.         gen test_elecpol_ovrsee = (elecpol_ovrsee != .)
{txt}
{com}.         replace test_elecpol_ovrsee = . if asked_survey == 0
{txt}(37 real changes made, 37 to missing)

{com}.         fre test_elecpol_ovrsee
{res}
{txt}test_elecpol_ovrsee
{txt}{hline 9}{hline 1}{c TT}{hline 44}
{txt}        {txt}  {c |}      Freq.    Percent      Valid       Cum.
{txt}{hline 9}{hline 1}{c +}{hline 44}
{txt}Valid   1 {c |}{res}         24      39.34     100.00     100.00
{txt}Missing . {c |}{res}         37      60.66                      
{txt}Total     {c |}{res}         61     100.00                      
{txt}{hline 9}{hline 1}{c BT}{hline 44}

{com}.         assert inlist(test_elecpol_ovrsee,.,1)
{txt}
{com}.         
.         drop test_elecpol_ovrsee
{txt}
{com}.         
.         * title_elecpol
.         
.         lab var title_elecpol "Title of the highest-level elected politician in unit"
{txt}
{com}.         
.         gen test_title_elecpol = (title_elecpol != "")
{txt}
{com}.         replace test_title_elecpol = . if asked_survey == 0
{txt}(37 real changes made, 37 to missing)

{com}.         replace test_title_elecpol = . if elecpol_ovrsee == 0
{txt}(1 real change made, 1 to missing)

{com}.         fre test_title_elecpol
{res}
{txt}test_title_elecpol
{txt}{hline 9}{hline 1}{c TT}{hline 44}
{txt}        {txt}  {c |}      Freq.    Percent      Valid       Cum.
{txt}{hline 9}{hline 1}{c +}{hline 44}
{txt}Valid   1 {c |}{res}         23      37.70     100.00     100.00
{txt}Missing . {c |}{res}         38      62.30                      
{txt}Total     {c |}{res}         61     100.00                      
{txt}{hline 9}{hline 1}{c BT}{hline 44}

{com}.         assert inlist(test_title_elecpol,.,1)
{txt}
{com}.         
.         drop test_title_elecpol
{txt}
{com}.         
.         * aptpol_d
.         
.         fre aptpol_d
{res}
{txt}aptpol_d
{txt}{hline 38}{hline 1}{c TT}{hline 44}
{txt}        {txt}                               {c |}      Freq.    Percent      Valid       Cum.
{txt}{hline 38}{hline 1}{c +}{hline 44}
{txt}Valid   Do not know / Refuse to answer {c |}{res}          1       1.64       4.00       4.00
{txt}        No                             {c |}{res}         15      24.59      60.00      64.00
{txt}        Yes                            {c |}{res}          9      14.75      36.00     100.00
{txt}        Total                          {c |}{res}         25      40.98     100.00           
{txt}Missing                                {c |}{res}         36      59.02                      
{txt}Total                                  {c |}{res}         61     100.00                      
{txt}{hline 38}{hline 1}{c BT}{hline 44}

{com}.         
.         lab var aptpol_d "Politician appointed by higher politician in unit"
{txt}
{com}.         replace aptpol_d = "0" if aptpol_d == "No"
{txt}(15 real changes made)

{com}.         replace aptpol_d = "1" if aptpol_d == "Yes"
{txt}(9 real changes made)

{com}.         replace aptpol_d = "-98" if aptpol_d == "Do not know / Refuse to answer"
{txt}(1 real change made)

{com}.         destring aptpol_d, replace
{txt}aptpol_d: all characters numeric; {res}replaced {txt}as {res}byte
{txt}(36 missing values generated)
{res}{txt}
{com}.         lab val aptpol_d yesno
{txt}
{com}.         
.         fre aptpol_d
{res}
{txt}aptpol_d {hline 2} Politician appointed by higher politician in unit
{txt}{hline 15}{hline 1}{c TT}{hline 44}
{txt}        {txt}        {c |}      Freq.    Percent      Valid       Cum.
{txt}{hline 15}{hline 1}{c +}{hline 44}
{txt}Valid   -98     {c |}{res}          1       1.64       4.00       4.00
{txt}        0   No  {c |}{res}         15      24.59      60.00      64.00
{txt}        1   Yes {c |}{res}          9      14.75      36.00     100.00
{txt}        Total   {c |}{res}         25      40.98     100.00           
{txt}Missing .       {c |}{res}         36      59.02                      
{txt}Total           {c |}{res}         61     100.00                      
{txt}{hline 15}{hline 1}{c BT}{hline 44}

{com}.         
.         gen test_aptpol_d = (aptpol_d != .)
{txt}
{com}.         replace test_aptpol_d = . if asked_survey == 0
{txt}(37 real changes made, 37 to missing)

{com}.         fre test_aptpol_d
{res}
{txt}test_aptpol_d
{txt}{hline 9}{hline 1}{c TT}{hline 44}
{txt}        {txt}  {c |}      Freq.    Percent      Valid       Cum.
{txt}{hline 9}{hline 1}{c +}{hline 44}
{txt}Valid   1 {c |}{res}         24      39.34     100.00     100.00
{txt}Missing . {c |}{res}         37      60.66                      
{txt}Total     {c |}{res}         61     100.00                      
{txt}{hline 9}{hline 1}{c BT}{hline 44}

{com}.         assert inlist(test_aptpol_d,.,1)
{txt}
{com}.         
.         drop test_aptpol_d
{txt}
{com}.         
.         * pol_exist_d
.         
.         gen pol_exist_d = 0
{txt}
{com}.         replace pol_exist_d = 1 if aptpol_d == 1 | elecpol_ovrsee == 1
{txt}(23 real changes made)

{com}.         replace pol_exist_d = . if asked_survey == 0
{txt}(37 real changes made, 37 to missing)

{com}.         lab val pol_exist_d yesno
{txt}
{com}.         lab var pol_exist_d "1 if we have either an appointed or elected politician"
{txt}
{com}.         
.         fre pol_exist_d
{res}
{txt}pol_exist_d {hline 2} 1 if we have either an appointed or elected politician
{txt}{hline 13}{hline 1}{c TT}{hline 44}
{txt}        {txt}      {c |}      Freq.    Percent      Valid       Cum.
{txt}{hline 13}{hline 1}{c +}{hline 44}
{txt}Valid   0 No  {c |}{res}          1       1.64       4.17       4.17
{txt}        1 Yes {c |}{res}         23      37.70      95.83     100.00
{txt}        Total {c |}{res}         24      39.34     100.00           
{txt}Missing .     {c |}{res}         37      60.66                      
{txt}Total         {c |}{res}         61     100.00                      
{txt}{hline 13}{hline 1}{c BT}{hline 44}

{com}.         order pol_exist_d, after(aptpol_d)
{txt}
{com}.         
.         * title_aptpol
.         
.         lab var title_aptpol "Title of the highest-level appointed politician in unit"
{txt}
{com}.         
.         gen test_title_aptpol = (title_aptpol != "")
{txt}
{com}.         replace test_title_aptpol = . if asked_survey == 0 
{txt}(37 real changes made, 37 to missing)

{com}.         replace test_title_aptpol = . if aptpol_d == 0 | aptpol_d == -98
{txt}(15 real changes made, 15 to missing)

{com}.         fre test_title_aptpol
{res}
{txt}test_title_aptpol
{txt}{hline 9}{hline 1}{c TT}{hline 44}
{txt}        {txt}  {c |}      Freq.    Percent      Valid       Cum.
{txt}{hline 9}{hline 1}{c +}{hline 44}
{txt}Valid   1 {c |}{res}          9      14.75     100.00     100.00
{txt}Missing . {c |}{res}         52      85.25                      
{txt}Total     {c |}{res}         61     100.00                      
{txt}{hline 9}{hline 1}{c BT}{hline 44}

{com}.         assert inlist(test_title_aptpol,.,1)
{txt}
{com}.         
.         drop test_title_aptpol
{txt}
{com}.         
.         * who_aptpol
.         
.         lab var who_aptpol "Who appoints the highest-level appointed politician in unit"
{txt}
{com}.         
.         gen test_who_aptpol = (who_aptpol != "")
{txt}
{com}.         replace test_who_aptpol = . if asked_survey == 0 
{txt}(37 real changes made, 37 to missing)

{com}.         replace test_who_aptpol = . if aptpol_d == 0 | aptpol_d == -98
{txt}(15 real changes made, 15 to missing)

{com}.         fre test_who_aptpol
{res}
{txt}test_who_aptpol
{txt}{hline 9}{hline 1}{c TT}{hline 44}
{txt}        {txt}  {c |}      Freq.    Percent      Valid       Cum.
{txt}{hline 9}{hline 1}{c +}{hline 44}
{txt}Valid   1 {c |}{res}          9      14.75     100.00     100.00
{txt}Missing . {c |}{res}         52      85.25                      
{txt}Total     {c |}{res}         61     100.00                      
{txt}{hline 9}{hline 1}{c BT}{hline 44}

{com}.         assert inlist(test_who_aptpol,.,1)
{txt}
{com}.         
.         drop test_who_aptpol
{txt}
{com}.         
.         * mostinf_servdel
.         
.         lab var mostinf_servdel "More influential in determining quality of service"
{txt}
{com}.         
.         replace mostinf_servdel = "1" if regexm(mostinf_servdel,"Elected much more")
{txt}(5 real changes made)

{com}.         replace mostinf_servdel = "2" if regexm(mostinf_servdel,"Elected slightly more")
{txt}(0 real changes made)

{com}.         replace mostinf_servdel = "3" if regexm(mostinf_servdel,"About the same")
{txt}(1 real change made)

{com}.         replace mostinf_servdel = "4" if regexm(mostinf_servdel,"Appointed slightly more")
{txt}(0 real changes made)

{com}.         replace mostinf_servdel = "5" if regexm(mostinf_servdel,"Appointed much more")
{txt}(3 real changes made)

{com}.         destring mostinf_servdel, replace
{txt}mostinf_servdel: all characters numeric; {res}replaced {txt}as {res}byte
{txt}(52 missing values generated)
{res}{txt}
{com}.         lab def mostinf_servdel 1 "Elected much more influential" 2 "Elected slightly more influential" 3 "About the same" 4 "Appointed slightly more influential" 5 "Appointed much more influential"
{txt}
{com}.         lab val mostinf_servdel mostinf_servdel
{txt}
{com}.         
.         fre mostinf_servdel
{res}
{txt}mostinf_servdel {hline 2} More influential in determining quality of service
{txt}{hline 41}{hline 1}{c TT}{hline 44}
{txt}        {txt}                                  {c |}      Freq.    Percent      Valid       Cum.
{txt}{hline 41}{hline 1}{c +}{hline 44}
{txt}Valid   1 Elected much more influential   {c |}{res}          5       8.20      55.56      55.56
{txt}        3 About the same                  {c |}{res}          1       1.64      11.11      66.67
{txt}        5 Appointed much more influential {c |}{res}          3       4.92      33.33     100.00
{txt}        Total                             {c |}{res}          9      14.75     100.00           
{txt}Missing .                                 {c |}{res}         52      85.25                      
{txt}Total                                     {c |}{res}         61     100.00                      
{txt}{hline 41}{hline 1}{c BT}{hline 44}

{com}.         
.         gen test_mostinf_servdel = (mostinf_servdel != .)
{txt}
{com}.         replace test_mostinf_servdel = . if asked_survey == 0 
{txt}(37 real changes made, 37 to missing)

{com}.         replace test_mostinf_servdel = . if (inlist(aptpol_d,0,-98) | elecpol_ovrsee == 0)
{txt}(15 real changes made, 15 to missing)

{com}.         fre test_mostinf_servdel
{res}
{txt}test_mostinf_servdel
{txt}{hline 9}{hline 1}{c TT}{hline 44}
{txt}        {txt}  {c |}      Freq.    Percent      Valid       Cum.
{txt}{hline 9}{hline 1}{c +}{hline 44}
{txt}Valid   1 {c |}{res}          9      14.75     100.00     100.00
{txt}Missing . {c |}{res}         52      85.25                      
{txt}Total     {c |}{res}         61     100.00                      
{txt}{hline 9}{hline 1}{c BT}{hline 44}

{com}.         assert inlist(test_mostinf_servdel,.,1)
{txt}
{com}.         
.         drop test_mostinf_servdel
{txt}
{com}.         
.         * educ_elecpolbur
.         
.         lab var educ_elecpolbur "More educated bureaucrat or politician (elec. politician)"
{txt}
{com}.         
.         fre educ_elecpolbur
{res}
{txt}educ_elecpolbur {hline 2} More educated bureaucrat or politician (elec. politician)
{txt}{hline 55}{hline 1}{c TT}{hline 44}
{txt}        {txt}                                                {c |}      Freq.    Percent      Valid       Cum.
{txt}{hline 55}{hline 1}{c +}{hline 44}
{txt}Valid   About the same level of education               {c |}{res}          4       6.56      17.39      17.39
{txt}        Bureaucrats much more educated than Politicians {c |}{res}         13      21.31      56.52      73.91
{txt}        Bureaucrats slightly more educated than         {c |}{res}          6       9.84      26.09     100.00
{txt}        Politicians                                     {c |}{res}                                            
{txt}        Total                                           {c |}{res}         23      37.70     100.00           
{txt}Missing                                                 {c |}{res}         38      62.30                      
{txt}Total                                                   {c |}{res}         61     100.00                      
{txt}{hline 55}{hline 1}{c BT}{hline 44}

{com}.         
.         replace educ_elecpolbur = "1" if regexm(educ_elecpolbur,"Bureaucrats much more educated")
{txt}(13 real changes made)

{com}.         replace educ_elecpolbur = "2" if regexm(educ_elecpolbur,"Bureaucrats slightly more educated")
{txt}(6 real changes made)

{com}.         replace educ_elecpolbur = "3" if regexm(educ_elecpolbur,"About the same")
{txt}(4 real changes made)

{com}.         replace educ_elecpolbur = "4" if regexm(educ_elecpolbur,"Politicians slightly more educated")
{txt}(0 real changes made)

{com}.         replace educ_elecpolbur = "5" if regexm(educ_elecpolbur,"Politicians much more educated")
{txt}(0 real changes made)

{com}.         destring educ_elecpolbur, replace
{txt}educ_elecpolbur: all characters numeric; {res}replaced {txt}as {res}byte
{txt}(38 missing values generated)
{res}{txt}
{com}.         lab def educ_elecpolbur 1 "Bureaucrats much more educated" 2 "Bureaucrats slightly more educated" 3 "About the same" 4 "Politicians slightly more educated" 5 "Politicians much more educated"
{txt}
{com}.         lab val educ_elecpolbur educ_elecpolbur
{txt}
{com}.         
.         fre educ_elecpolbur
{res}
{txt}educ_elecpolbur {hline 2} More educated bureaucrat or politician (elec. politician)
{txt}{hline 44}{hline 1}{c TT}{hline 44}
{txt}        {txt}                                     {c |}      Freq.    Percent      Valid       Cum.
{txt}{hline 44}{hline 1}{c +}{hline 44}
{txt}Valid   1 Bureaucrats much more educated     {c |}{res}         13      21.31      56.52      56.52
{txt}        2 Bureaucrats slightly more educated {c |}{res}          6       9.84      26.09      82.61
{txt}        3 About the same                     {c |}{res}          4       6.56      17.39     100.00
{txt}        Total                                {c |}{res}         23      37.70     100.00           
{txt}Missing .                                    {c |}{res}         38      62.30                      
{txt}Total                                        {c |}{res}         61     100.00                      
{txt}{hline 44}{hline 1}{c BT}{hline 44}

{com}.         
.         gen test_educ_elecpolbur = (educ_elecpolbur != .)
{txt}
{com}.         replace test_educ_elecpolbur = . if asked_survey == 0 
{txt}(37 real changes made, 37 to missing)

{com}.         replace test_educ_elecpolbur = . if elecpol_ovrsee == 0
{txt}(1 real change made, 1 to missing)

{com}.         fre test_educ_elecpolbur
{res}
{txt}test_educ_elecpolbur
{txt}{hline 9}{hline 1}{c TT}{hline 44}
{txt}        {txt}  {c |}      Freq.    Percent      Valid       Cum.
{txt}{hline 9}{hline 1}{c +}{hline 44}
{txt}Valid   1 {c |}{res}         23      37.70     100.00     100.00
{txt}Missing . {c |}{res}         38      62.30                      
{txt}Total     {c |}{res}         61     100.00                      
{txt}{hline 9}{hline 1}{c BT}{hline 44}

{com}.         assert inlist(test_educ_elecpolbur,.,1)
{txt}
{com}.         
.         drop test_educ_elecpolbur
{txt}
{com}.         
.         * educ_apolbur
.         
.         lab var educ_apolbur "More educated bureaucrat or politician (app. politician) "
{txt}
{com}.         
.         fre educ_apolbur
{res}
{txt}educ_apolbur {hline 2} More educated bureaucrat or politician (app. politician) 
{txt}{hline 8}{hline 1}{c TT}{hline 44}
{txt}        {txt} {c |}      Freq.    Percent      Valid       Cum.
{txt}{hline 8}{hline 1}{c +}{hline 44}
{txt}Missing  {c |}{res}         61     100.00                      
{txt}{hline 8}{hline 1}{c BT}{hline 44}

{com}.         
.         replace educ_apolbur = "1" if regexm(educ_apolbur,"Bureaucrats much more educated")
{txt}(0 real changes made)

{com}.         replace educ_apolbur = "2" if regexm(educ_apolbur,"Bureaucrats slightly more educated")
{txt}(0 real changes made)

{com}.         replace educ_apolbur = "3" if regexm(educ_apolbur,"About the same")
{txt}(0 real changes made)

{com}.         replace educ_apolbur = "4" if regexm(educ_apolbur,"Politicians slightly more educated")
{txt}(0 real changes made)

{com}.         replace educ_apolbur = "5" if regexm(educ_apolbur,"Politicians much more educated")
{txt}(0 real changes made)

{com}.         destring educ_apolbur, replace
{txt}educ_apolbur: all characters numeric; {res}replaced {txt}as {res}byte
{txt}(61 missing values generated)
{res}{txt}
{com}.         lab def educ_apolbur 1 "Bureaucrats much more educated" 2 "Bureaucrats slightly more educated" 3 "About the same" 4 "Politicians slightly more educated" 5 "Politicians much more educated"
{txt}
{com}.         lab val educ_apolbur educ_apolbur
{txt}
{com}.         
.         fre educ_apolbur
{res}
{txt}educ_apolbur {hline 2} More educated bureaucrat or politician (app. politician) 
{txt}{hline 13}{hline 1}{c TT}{hline 44}
{txt}        {txt}      {c |}      Freq.    Percent      Valid       Cum.
{txt}{hline 13}{hline 1}{c +}{hline 44}
{txt}Missing .     {c |}{res}         61     100.00                      
{txt}{hline 13}{hline 1}{c BT}{hline 44}

{com}.         
.         gen test_educ_apolbur = (educ_apolbur != .)
{txt}
{com}.         replace test_educ_apolbur = . if asked_survey == 0
{txt}(37 real changes made, 37 to missing)

{com}.         replace test_educ_apolbur = . if aptpol_d == 0
{txt}(14 real changes made, 14 to missing)

{com}.         replace test_educ_apolbur = . if elecpol_ovrsee == 1 
{txt}(10 real changes made, 10 to missing)

{com}.         fre test_educ_apolbur
{res}
{txt}test_educ_apolbur
{txt}{hline 9}{hline 1}{c TT}{hline 44}
{txt}        {txt}  {c |}      Freq.    Percent      Valid       Cum.
{txt}{hline 9}{hline 1}{c +}{hline 44}
{txt}Missing . {c |}{res}         61     100.00                      
{txt}{hline 9}{hline 1}{c BT}{hline 44}

{com}.         assert inlist(test_educ_apolbur,.,1)
{txt}
{com}.         
.         drop test_educ_apolbur
{txt}
{com}.         
.         * slry_elecpolbur
.         
.         lab var slry_elecpolbur "Earning more bureaucrat or politician (elec. politician)"
{txt}
{com}.         
.         fre slry_elecpolbur
{res}
{txt}slry_elecpolbur {hline 2} Earning more bureaucrat or politician (elec. politician)
{txt}{hline 55}{hline 1}{c TT}{hline 44}
{txt}        {txt}                                                {c |}      Freq.    Percent      Valid       Cum.
{txt}{hline 55}{hline 1}{c +}{hline 44}
{txt}Valid   Both earn about the same                        {c |}{res}          4       6.56      17.39      17.39
{txt}        Bureaucrats earn much more than Politicians     {c |}{res}          5       8.20      21.74      39.13
{txt}        Bureaucrats earn slightly more than Politicians {c |}{res}          3       4.92      13.04      52.17
{txt}        Politicians earn much more than Bureaucrats     {c |}{res}          6       9.84      26.09      78.26
{txt}        Politicians earn slightly more than Bureaucrats {c |}{res}          5       8.20      21.74     100.00
{txt}        Total                                           {c |}{res}         23      37.70     100.00           
{txt}Missing                                                 {c |}{res}         38      62.30                      
{txt}Total                                                   {c |}{res}         61     100.00                      
{txt}{hline 55}{hline 1}{c BT}{hline 44}

{com}.         
.         replace slry_elecpolbur = "1" if regexm(slry_elecpolbur,"Bureaucrats earn much")
{txt}(5 real changes made)

{com}.         replace slry_elecpolbur = "2" if regexm(slry_elecpolbur,"Bureaucrats earn slightly")
{txt}(3 real changes made)

{com}.         replace slry_elecpolbur = "3" if regexm(slry_elecpolbur,"Both earn")
{txt}(4 real changes made)

{com}.         replace slry_elecpolbur = "4" if regexm(slry_elecpolbur,"Politicians earn slightly")
{txt}(5 real changes made)

{com}.         replace slry_elecpolbur = "5" if regexm(slry_elecpolbur,"Politicians earn much")
{txt}(6 real changes made)

{com}.         destring slry_elecpolbur, replace
{txt}slry_elecpolbur: all characters numeric; {res}replaced {txt}as {res}byte
{txt}(38 missing values generated)
{res}{txt}
{com}.         lab def slry_elecpolbur 1 "Bureaucrats earn much more" 2 "Bureaucrats earn slightly more" 3 "Both earn the same" 4 "Politicians earn slightly" 5 "Politicians earn much more"
{txt}
{com}.         lab val slry_elecpolbur slry_elecpolbur
{txt}
{com}.         
.         fre slry_elecpolbur
{res}
{txt}slry_elecpolbur {hline 2} Earning more bureaucrat or politician (elec. politician)
{txt}{hline 40}{hline 1}{c TT}{hline 44}
{txt}        {txt}                                 {c |}      Freq.    Percent      Valid       Cum.
{txt}{hline 40}{hline 1}{c +}{hline 44}
{txt}Valid   1 Bureaucrats earn much more     {c |}{res}          5       8.20      21.74      21.74
{txt}        2 Bureaucrats earn slightly more {c |}{res}          3       4.92      13.04      34.78
{txt}        3 Both earn the same             {c |}{res}          4       6.56      17.39      52.17
{txt}        4 Politicians earn slightly      {c |}{res}          5       8.20      21.74      73.91
{txt}        5 Politicians earn much more     {c |}{res}          6       9.84      26.09     100.00
{txt}        Total                            {c |}{res}         23      37.70     100.00           
{txt}Missing .                                {c |}{res}         38      62.30                      
{txt}Total                                    {c |}{res}         61     100.00                      
{txt}{hline 40}{hline 1}{c BT}{hline 44}

{com}.         
.         gen test_slry_elecpolbur = (slry_elecpolbur != .)
{txt}
{com}.         replace test_slry_elecpolbur = . if asked_survey == 0 
{txt}(37 real changes made, 37 to missing)

{com}.         replace test_slry_elecpolbur = . if elecpol_ovrsee == 0
{txt}(1 real change made, 1 to missing)

{com}.         fre test_slry_elecpolbur
{res}
{txt}test_slry_elecpolbur
{txt}{hline 9}{hline 1}{c TT}{hline 44}
{txt}        {txt}  {c |}      Freq.    Percent      Valid       Cum.
{txt}{hline 9}{hline 1}{c +}{hline 44}
{txt}Valid   1 {c |}{res}         23      37.70     100.00     100.00
{txt}Missing . {c |}{res}         38      62.30                      
{txt}Total     {c |}{res}         61     100.00                      
{txt}{hline 9}{hline 1}{c BT}{hline 44}

{com}.         assert inlist(test_slry_elecpolbur,.,1)
{txt}
{com}.         
.         drop test_slry_elecpolbur
{txt}
{com}.         
.         * slry_apolbur
.         
.         lab var slry_apolbur "Earning more bureaucrat or politician (app. politician)"
{txt}
{com}.         
.         fre slry_apolbur
{res}
{txt}slry_apolbur {hline 2} Earning more bureaucrat or politician (app. politician)
{txt}{hline 8}{hline 1}{c TT}{hline 44}
{txt}        {txt} {c |}      Freq.    Percent      Valid       Cum.
{txt}{hline 8}{hline 1}{c +}{hline 44}
{txt}Missing  {c |}{res}         61     100.00                      
{txt}{hline 8}{hline 1}{c BT}{hline 44}

{com}.         
.         replace slry_apolbur = "1" if regexm(slry_apolbur,"Bureaucrats earn much")
{txt}(0 real changes made)

{com}.         replace slry_apolbur = "2" if regexm(slry_apolbur,"Bureaucrats earn slightly")
{txt}(0 real changes made)

{com}.         replace slry_apolbur = "3" if regexm(slry_apolbur,"Both earn")
{txt}(0 real changes made)

{com}.         replace slry_apolbur = "4" if regexm(slry_apolbur,"Politicians earn slightly")
{txt}(0 real changes made)

{com}.         replace slry_apolbur = "5" if regexm(slry_apolbur,"Politicians earn much")
{txt}(0 real changes made)

{com}.         destring slry_apolbur, replace
{txt}slry_apolbur: all characters numeric; {res}replaced {txt}as {res}byte
{txt}(61 missing values generated)
{res}{txt}
{com}.         lab def slry_apolbur 1 "Bureaucrats earn much more" 2 "Bureaucrats earn slightly more" 3 "Both earn the same" 4 "Politicians earn slightly" 5 "Politicians earn much more"
{txt}
{com}.         lab val slry_apolbur slry_apolbur
{txt}
{com}.         
.         fre slry_apolbur
{res}
{txt}slry_apolbur {hline 2} Earning more bureaucrat or politician (app. politician)
{txt}{hline 13}{hline 1}{c TT}{hline 44}
{txt}        {txt}      {c |}      Freq.    Percent      Valid       Cum.
{txt}{hline 13}{hline 1}{c +}{hline 44}
{txt}Missing .     {c |}{res}         61     100.00                      
{txt}{hline 13}{hline 1}{c BT}{hline 44}

{com}.         
.         gen test_slry_apolbur = (slry_apolbur != .)
{txt}
{com}.         replace test_slry_apolbur = . if asked_survey == 0
{txt}(37 real changes made, 37 to missing)

{com}.         replace test_slry_apolbur = . if aptpol_d == 0
{txt}(14 real changes made, 14 to missing)

{com}.         replace test_slry_apolbur = . if elecpol_ovrsee == 1 
{txt}(10 real changes made, 10 to missing)

{com}.         fre test_slry_apolbur
{res}
{txt}test_slry_apolbur
{txt}{hline 9}{hline 1}{c TT}{hline 44}
{txt}        {txt}  {c |}      Freq.    Percent      Valid       Cum.
{txt}{hline 9}{hline 1}{c +}{hline 44}
{txt}Missing . {c |}{res}         61     100.00                      
{txt}{hline 9}{hline 1}{c BT}{hline 44}

{com}.         assert inlist(test_slry_apolbur,.,1)
{txt}
{com}.         
.         drop test_slry_apolbur
{txt}
{com}.         
.         * We merge the payment module
.         
.         merge m:1 responseid using "`payment_module'"
{res}
{txt}{col 5}Result{col 38}# of obs.
{col 5}{hline 41}
{col 5}not matched{col 30}{res}               0
{txt}{col 5}matched{col 30}{res}              61{txt}  (_merge==3)
{col 5}{hline 41}

{com}.         drop _merge
{txt}
{com}.         order donate_d org_donation_id paid_status, after(duration_minutes)
{txt}
{com}.         
.         * fdout_epol_bgt
.         
.         lab var fdout_epol_bgt "Easy to find out about envelop (elec. politician)"
{txt}
{com}.         
.         fre fdout_epol_bgt
{res}
{txt}fdout_epol_bgt {hline 2} Easy to find out about envelop (elec. politician)
{txt}{hline 26}{hline 1}{c TT}{hline 44}
{txt}        {txt}                   {c |}      Freq.    Percent      Valid       Cum.
{txt}{hline 26}{hline 1}{c +}{hline 44}
{txt}Valid   Somewhat difficult {c |}{res}          3       4.92      13.04      13.04
{txt}        Somewhat easy      {c |}{res}          6       9.84      26.09      39.13
{txt}        Very easy          {c |}{res}         14      22.95      60.87     100.00
{txt}        Total              {c |}{res}         23      37.70     100.00           
{txt}Missing                    {c |}{res}         38      62.30                      
{txt}Total                      {c |}{res}         61     100.00                      
{txt}{hline 26}{hline 1}{c BT}{hline 44}

{com}.         
.         replace fdout_epol_bgt = "1" if regexm(fdout_epol_bgt,"Very easy")
{txt}(14 real changes made)

{com}.         replace fdout_epol_bgt = "2" if regexm(fdout_epol_bgt,"Somewhat easy")
{txt}(6 real changes made)

{com}.         replace fdout_epol_bgt = "3" if regexm(fdout_epol_bgt,"Somewhat difficult")
{txt}(3 real changes made)

{com}.         replace fdout_epol_bgt = "4" if regexm(fdout_epol_bgt,"Very difficult")
{txt}(0 real changes made)

{com}.         replace fdout_epol_bgt = "5" if regexm(fdout_epol_bgt,"Not applicable")
{txt}(0 real changes made)

{com}.         replace fdout_epol_bgt = "6" if regexm(fdout_epol_bgt,"Do not know")
{txt}(0 real changes made)

{com}.         
.         destring fdout_epol_bgt, replace
{txt}fdout_epol_bgt: all characters numeric; {res}replaced {txt}as {res}byte
{txt}(38 missing values generated)
{res}{txt}
{com}.         lab def fdout_epol_bgt 1 "Very easy" 2 "Somewhat easy" 3 "Somewhat difficult" 4 "Very difficult" 5 "Not applicable, this level of government has no spending power" 6 "Do not know / Refuse to answer"
{txt}
{com}.         lab val fdout_epol_bgt fdout_epol_bgt
{txt}
{com}.         
.         fre fdout_epol_bgt
{res}
{txt}fdout_epol_bgt {hline 2} Easy to find out about envelop (elec. politician)
{txt}{hline 28}{hline 1}{c TT}{hline 44}
{txt}        {txt}                     {c |}      Freq.    Percent      Valid       Cum.
{txt}{hline 28}{hline 1}{c +}{hline 44}
{txt}Valid   1 Very easy          {c |}{res}         14      22.95      60.87      60.87
{txt}        2 Somewhat easy      {c |}{res}          6       9.84      26.09      86.96
{txt}        3 Somewhat difficult {c |}{res}          3       4.92      13.04     100.00
{txt}        Total                {c |}{res}         23      37.70     100.00           
{txt}Missing .                    {c |}{res}         38      62.30                      
{txt}Total                        {c |}{res}         61     100.00                      
{txt}{hline 28}{hline 1}{c BT}{hline 44}

{com}.         
.         gen test_fdout_epol_bgt = (fdout_epol_bgt != .)
{txt}
{com}.         replace test_fdout_epol_bgt = . if asked_survey == 0 
{txt}(37 real changes made, 37 to missing)

{com}.         replace test_fdout_epol_bgt = . if elecpol_ovrsee == 0
{txt}(1 real change made, 1 to missing)

{com}.         fre test_fdout_epol_bgt
{res}
{txt}test_fdout_epol_bgt
{txt}{hline 9}{hline 1}{c TT}{hline 44}
{txt}        {txt}  {c |}      Freq.    Percent      Valid       Cum.
{txt}{hline 9}{hline 1}{c +}{hline 44}
{txt}Valid   1 {c |}{res}         23      37.70     100.00     100.00
{txt}Missing . {c |}{res}         38      62.30                      
{txt}Total     {c |}{res}         61     100.00                      
{txt}{hline 9}{hline 1}{c BT}{hline 44}

{com}.         assert inlist(test_fdout_epol_bgt,.,1)
{txt}
{com}.         
.         drop test_fdout_epol_bgt
{txt}
{com}.         
.         * fdout_apol_bgt
.         
.         lab var fdout_apol_bgt "Easy to find out about envelop (app. politician)"
{txt}
{com}.         
.         fre fdout_apol_bgt
{res}
{txt}fdout_apol_bgt {hline 2} Easy to find out about envelop (app. politician)
{txt}{hline 8}{hline 1}{c TT}{hline 44}
{txt}        {txt} {c |}      Freq.    Percent      Valid       Cum.
{txt}{hline 8}{hline 1}{c +}{hline 44}
{txt}Missing  {c |}{res}         61     100.00                      
{txt}{hline 8}{hline 1}{c BT}{hline 44}

{com}.         
.         replace fdout_apol_bgt = "1" if regexm(fdout_apol_bgt,"Very easy")
{txt}(0 real changes made)

{com}.         replace fdout_apol_bgt = "2" if regexm(fdout_apol_bgt,"Somewhat easy")
{txt}(0 real changes made)

{com}.         replace fdout_apol_bgt = "3" if regexm(fdout_apol_bgt,"Somewhat difficult")
{txt}(0 real changes made)

{com}.         replace fdout_apol_bgt = "4" if regexm(fdout_apol_bgt,"Very difficult")
{txt}(0 real changes made)

{com}.         replace fdout_apol_bgt = "5" if regexm(fdout_apol_bgt,"Not applicable")
{txt}(0 real changes made)

{com}.         replace fdout_apol_bgt = "6" if regexm(fdout_apol_bgt,"Do not know")
{txt}(0 real changes made)

{com}.         
.         destring fdout_apol_bgt, replace
{txt}fdout_apol_bgt: all characters numeric; {res}replaced {txt}as {res}byte
{txt}(61 missing values generated)
{res}{txt}
{com}.         lab def fdout_apol_bgt 1 "Very easy" 2 "Somewhat easy" 3 "Somewhat difficult" 4 "Very difficult" 5 "Not applicable, this level of government has no spending power" 6 "Do not know / Refuse to answer"
{txt}
{com}.         lab val fdout_apol_bgt fdout_apol_bgt
{txt}
{com}.         
.         fre fdout_apol_bgt
{res}
{txt}fdout_apol_bgt {hline 2} Easy to find out about envelop (app. politician)
{txt}{hline 13}{hline 1}{c TT}{hline 44}
{txt}        {txt}      {c |}      Freq.    Percent      Valid       Cum.
{txt}{hline 13}{hline 1}{c +}{hline 44}
{txt}Missing .     {c |}{res}         61     100.00                      
{txt}{hline 13}{hline 1}{c BT}{hline 44}

{com}.         
.         gen test_fdout_apol_bgt = (fdout_apol_bgt != .)
{txt}
{com}.         replace test_fdout_apol_bgt = . if asked_survey == 0
{txt}(37 real changes made, 37 to missing)

{com}.         replace test_fdout_apol_bgt = . if aptpol_d == 0
{txt}(14 real changes made, 14 to missing)

{com}.         replace test_fdout_apol_bgt = . if elecpol_ovrsee == 1 
{txt}(10 real changes made, 10 to missing)

{com}.         fre test_fdout_apol_bgt
{res}
{txt}test_fdout_apol_bgt
{txt}{hline 9}{hline 1}{c TT}{hline 44}
{txt}        {txt}  {c |}      Freq.    Percent      Valid       Cum.
{txt}{hline 9}{hline 1}{c +}{hline 44}
{txt}Missing . {c |}{res}         61     100.00                      
{txt}{hline 9}{hline 1}{c BT}{hline 44}

{com}.         assert inlist(test_fdout_apol_bgt,.,1)
{txt}
{com}.         
.         drop test_fdout_apol_bgt
{txt}
{com}.         
.         * budsect_epol
.         
.         lab var budsect_epol "Find about budget allocation to sectors (elec. politician)"
{txt}
{com}.         
.         fre budsect_epol
{res}
{txt}budsect_epol {hline 2} Find about budget allocation to sectors (elec. politician)
{txt}{hline 26}{hline 1}{c TT}{hline 44}
{txt}        {txt}                   {c |}      Freq.    Percent      Valid       Cum.
{txt}{hline 26}{hline 1}{c +}{hline 44}
{txt}Valid   Somewhat difficult {c |}{res}          2       3.28       8.70       8.70
{txt}        Somewhat easy      {c |}{res}          4       6.56      17.39      26.09
{txt}        Very difficult     {c |}{res}          1       1.64       4.35      30.43
{txt}        Very easy          {c |}{res}          9      14.75      39.13      69.57
{txt}        Somewhat easy      {c |}{res}          1       1.64       4.35      73.91
{txt}        Very easy          {c |}{res}          6       9.84      26.09     100.00
{txt}        Total              {c |}{res}         23      37.70     100.00           
{txt}Missing                    {c |}{res}         38      62.30                      
{txt}Total                      {c |}{res}         61     100.00                      
{txt}{hline 26}{hline 1}{c BT}{hline 44}

{com}.         
.         replace budsect_epol = "1" if regexm(budsect_epol,"Very easy")
{txt}(15 real changes made)

{com}.         replace budsect_epol = "2" if regexm(budsect_epol,"Somewhat easy")
{txt}(5 real changes made)

{com}.         replace budsect_epol = "3" if regexm(budsect_epol,"Somewhat difficult")
{txt}(2 real changes made)

{com}.         replace budsect_epol = "4" if regexm(budsect_epol,"Very difficult")
{txt}(1 real change made)

{com}.         replace budsect_epol = "5" if regexm(budsect_epol,"Not applicable")
{txt}(0 real changes made)

{com}.         replace budsect_epol = "6" if regexm(budsect_epol,"Do not know")
{txt}(0 real changes made)

{com}.         
.         destring budsect_epol, replace
{txt}budsect_epol: all characters numeric; {res}replaced {txt}as {res}byte
{txt}(38 missing values generated)
{res}{txt}
{com}.         lab def budsect_epol 1 "Very easy" 2 "Somewhat easy" 3 "Somewhat difficult" 4 "Very difficult" 5 "Not applicable, this level of government has no spending power" 6 "Do not know / Refuse to answer"
{txt}
{com}.         lab val budsect_epol budsect_epol
{txt}
{com}.         
.         fre budsect_epol
{res}
{txt}budsect_epol {hline 2} Find about budget allocation to sectors (elec. politician)
{txt}{hline 28}{hline 1}{c TT}{hline 44}
{txt}        {txt}                     {c |}      Freq.    Percent      Valid       Cum.
{txt}{hline 28}{hline 1}{c +}{hline 44}
{txt}Valid   1 Very easy          {c |}{res}         15      24.59      65.22      65.22
{txt}        2 Somewhat easy      {c |}{res}          5       8.20      21.74      86.96
{txt}        3 Somewhat difficult {c |}{res}          2       3.28       8.70      95.65
{txt}        4 Very difficult     {c |}{res}          1       1.64       4.35     100.00
{txt}        Total                {c |}{res}         23      37.70     100.00           
{txt}Missing .                    {c |}{res}         38      62.30                      
{txt}Total                        {c |}{res}         61     100.00                      
{txt}{hline 28}{hline 1}{c BT}{hline 44}

{com}.         
.         gen test_budsect_epol = (budsect_epol != .)
{txt}
{com}.         replace test_budsect_epol = . if asked_survey == 0 
{txt}(37 real changes made, 37 to missing)

{com}.         replace test_budsect_epol = . if elecpol_ovrsee == 0
{txt}(1 real change made, 1 to missing)

{com}.         fre test_budsect_epol
{res}
{txt}test_budsect_epol
{txt}{hline 9}{hline 1}{c TT}{hline 44}
{txt}        {txt}  {c |}      Freq.    Percent      Valid       Cum.
{txt}{hline 9}{hline 1}{c +}{hline 44}
{txt}Valid   1 {c |}{res}         23      37.70     100.00     100.00
{txt}Missing . {c |}{res}         38      62.30                      
{txt}Total     {c |}{res}         61     100.00                      
{txt}{hline 9}{hline 1}{c BT}{hline 44}

{com}.         assert inlist(test_budsect_epol,.,1)
{txt}
{com}.         
.         drop test_budsect_epol
{txt}
{com}.         
.         * budsect_apol
.         
.         lab var budsect_apol "Find about budget allocation to sectors (app. politician)"
{txt}
{com}.         
.         fre budsect_apol
{res}
{txt}budsect_apol {hline 2} Find about budget allocation to sectors (app. politician)
{txt}{hline 8}{hline 1}{c TT}{hline 44}
{txt}        {txt} {c |}      Freq.    Percent      Valid       Cum.
{txt}{hline 8}{hline 1}{c +}{hline 44}
{txt}Missing  {c |}{res}         61     100.00                      
{txt}{hline 8}{hline 1}{c BT}{hline 44}

{com}.         
.         replace budsect_apol = "1" if regexm(budsect_apol,"Very easy")
{txt}(0 real changes made)

{com}.         replace budsect_apol = "2" if regexm(budsect_apol,"Somewhat easy")
{txt}(0 real changes made)

{com}.         replace budsect_apol = "3" if regexm(budsect_apol,"Somewhat difficult")
{txt}(0 real changes made)

{com}.         replace budsect_apol = "4" if regexm(budsect_apol,"Very difficult")
{txt}(0 real changes made)

{com}.         replace budsect_apol = "5" if regexm(budsect_apol,"Not applicable")
{txt}(0 real changes made)

{com}.         replace budsect_apol = "6" if regexm(budsect_apol,"Do not know")
{txt}(0 real changes made)

{com}.         
.         destring budsect_apol, replace
{txt}budsect_apol: all characters numeric; {res}replaced {txt}as {res}byte
{txt}(61 missing values generated)
{res}{txt}
{com}.         lab def budsect_apol 1 "Very easy" 2 "Somewhat easy" 3 "Somewhat difficult" 4 "Very difficult" 5 "Not applicable, this level of government has no spending power" 6 "Do not know / Refuse to answer"
{txt}
{com}.         lab val budsect_apol budsect_apol
{txt}
{com}.         
.         fre budsect_apol
{res}
{txt}budsect_apol {hline 2} Find about budget allocation to sectors (app. politician)
{txt}{hline 13}{hline 1}{c TT}{hline 44}
{txt}        {txt}      {c |}      Freq.    Percent      Valid       Cum.
{txt}{hline 13}{hline 1}{c +}{hline 44}
{txt}Missing .     {c |}{res}         61     100.00                      
{txt}{hline 13}{hline 1}{c BT}{hline 44}

{com}.         
.         gen test_budsect_apol = (budsect_apol != .)
{txt}
{com}.         replace test_budsect_apol = . if asked_survey == 0
{txt}(37 real changes made, 37 to missing)

{com}.         replace test_budsect_apol = . if aptpol_d == 0
{txt}(14 real changes made, 14 to missing)

{com}.         replace test_budsect_apol = . if elecpol_ovrsee == 1 
{txt}(10 real changes made, 10 to missing)

{com}.         fre test_budsect_apol
{res}
{txt}test_budsect_apol
{txt}{hline 9}{hline 1}{c TT}{hline 44}
{txt}        {txt}  {c |}      Freq.    Percent      Valid       Cum.
{txt}{hline 9}{hline 1}{c +}{hline 44}
{txt}Missing . {c |}{res}         61     100.00                      
{txt}{hline 9}{hline 1}{c BT}{hline 44}

{com}.         assert inlist(test_budsect_apol,.,1)
{txt}
{com}.         
.         drop test_budsect_apol
{txt}
{com}.         
.         * acinfexp_epol
.         
.         lab var acinfexp_epol "Obtain detailed info about expenditures (elec. politician)"
{txt}
{com}.         
.         fre acinfexp_epol
{res}
{txt}acinfexp_epol {hline 2} Obtain detailed info about expenditures (elec. politician)
{txt}{hline 26}{hline 1}{c TT}{hline 44}
{txt}        {txt}                   {c |}      Freq.    Percent      Valid       Cum.
{txt}{hline 26}{hline 1}{c +}{hline 44}
{txt}Valid   Somewhat difficult {c |}{res}          5       8.20      21.74      21.74
{txt}        Somewhat easy      {c |}{res}          3       4.92      13.04      34.78
{txt}        Very difficult     {c |}{res}          1       1.64       4.35      39.13
{txt}        Very easy          {c |}{res}         14      22.95      60.87     100.00
{txt}        Total              {c |}{res}         23      37.70     100.00           
{txt}Missing                    {c |}{res}         38      62.30                      
{txt}Total                      {c |}{res}         61     100.00                      
{txt}{hline 26}{hline 1}{c BT}{hline 44}

{com}.         
.         replace acinfexp_epol = "1" if regexm(acinfexp_epol,"Very easy")
{txt}(14 real changes made)

{com}.         replace acinfexp_epol = "2" if regexm(acinfexp_epol,"Somewhat easy")
{txt}(3 real changes made)

{com}.         replace acinfexp_epol = "3" if regexm(acinfexp_epol,"Somewhat difficult")
{txt}(5 real changes made)

{com}.         replace acinfexp_epol = "4" if regexm(acinfexp_epol,"Very difficult")
{txt}(1 real change made)

{com}.         replace acinfexp_epol = "5" if regexm(acinfexp_epol,"Not applicable")
{txt}(0 real changes made)

{com}.         replace acinfexp_epol = "6" if regexm(acinfexp_epol,"Do not know")
{txt}(0 real changes made)

{com}.         
.         destring acinfexp_epol, replace
{txt}acinfexp_epol: all characters numeric; {res}replaced {txt}as {res}byte
{txt}(38 missing values generated)
{res}{txt}
{com}.         lab def acinfexp_epol 1 "Very easy" 2 "Somewhat easy" 3 "Somewhat difficult" 4 "Very difficult" 5 "Not applicable, this level of government has no spending power" 6 "Do not know / Refuse to answer"
{txt}
{com}.         lab val acinfexp_epol acinfexp_epol
{txt}
{com}.         
.         fre acinfexp_epol
{res}
{txt}acinfexp_epol {hline 2} Obtain detailed info about expenditures (elec. politician)
{txt}{hline 28}{hline 1}{c TT}{hline 44}
{txt}        {txt}                     {c |}      Freq.    Percent      Valid       Cum.
{txt}{hline 28}{hline 1}{c +}{hline 44}
{txt}Valid   1 Very easy          {c |}{res}         14      22.95      60.87      60.87
{txt}        2 Somewhat easy      {c |}{res}          3       4.92      13.04      73.91
{txt}        3 Somewhat difficult {c |}{res}          5       8.20      21.74      95.65
{txt}        4 Very difficult     {c |}{res}          1       1.64       4.35     100.00
{txt}        Total                {c |}{res}         23      37.70     100.00           
{txt}Missing .                    {c |}{res}         38      62.30                      
{txt}Total                        {c |}{res}         61     100.00                      
{txt}{hline 28}{hline 1}{c BT}{hline 44}

{com}.         
.         gen test_acinfexp_epol = (acinfexp_epol != .)
{txt}
{com}.         replace test_acinfexp_epol = . if asked_survey == 0 
{txt}(37 real changes made, 37 to missing)

{com}.         replace test_acinfexp_epol = . if elecpol_ovrsee == 0
{txt}(1 real change made, 1 to missing)

{com}.         fre test_acinfexp_epol
{res}
{txt}test_acinfexp_epol
{txt}{hline 9}{hline 1}{c TT}{hline 44}
{txt}        {txt}  {c |}      Freq.    Percent      Valid       Cum.
{txt}{hline 9}{hline 1}{c +}{hline 44}
{txt}Valid   1 {c |}{res}         23      37.70     100.00     100.00
{txt}Missing . {c |}{res}         38      62.30                      
{txt}Total     {c |}{res}         61     100.00                      
{txt}{hline 9}{hline 1}{c BT}{hline 44}

{com}.         assert inlist(test_acinfexp_epol,.,1)
{txt}
{com}.         
.         drop test_acinfexp_epol
{txt}
{com}.         
.         * acinfexp_apol
.         
.         lab var acinfexp_apol "Obtain detailed info about expenditures (app. politician)"
{txt}
{com}.         
.         fre acinfexp_apol
{res}
{txt}acinfexp_apol {hline 2} Obtain detailed info about expenditures (app. politician)
{txt}{hline 8}{hline 1}{c TT}{hline 44}
{txt}        {txt} {c |}      Freq.    Percent      Valid       Cum.
{txt}{hline 8}{hline 1}{c +}{hline 44}
{txt}Missing  {c |}{res}         61     100.00                      
{txt}{hline 8}{hline 1}{c BT}{hline 44}

{com}.         
.         replace acinfexp_apol = "1" if regexm(acinfexp_apol,"Very easy")
{txt}(0 real changes made)

{com}.         replace acinfexp_apol = "2" if regexm(acinfexp_apol,"Somewhat easy")
{txt}(0 real changes made)

{com}.         replace acinfexp_apol = "3" if regexm(acinfexp_apol,"Somewhat difficult")
{txt}(0 real changes made)

{com}.         replace acinfexp_apol = "4" if regexm(acinfexp_apol,"Very difficult")
{txt}(0 real changes made)

{com}.         replace acinfexp_apol = "5" if regexm(acinfexp_apol,"Not applicable")
{txt}(0 real changes made)

{com}.         replace acinfexp_apol = "6" if regexm(acinfexp_apol,"Do not know")
{txt}(0 real changes made)

{com}.         
.         destring acinfexp_apol, replace
{txt}acinfexp_apol: all characters numeric; {res}replaced {txt}as {res}byte
{txt}(61 missing values generated)
{res}{txt}
{com}.         lab def acinfexp_apol 1 "Very easy" 2 "Somewhat easy" 3 "Somewhat difficult" 4 "Very difficult" 5 "Not applicable, this level of government has no spending power" 6 "Do not know / Refuse to answer"
{txt}
{com}.         lab val acinfexp_apol acinfexp_apol
{txt}
{com}.         
.         fre acinfexp_apol
{res}
{txt}acinfexp_apol {hline 2} Obtain detailed info about expenditures (app. politician)
{txt}{hline 13}{hline 1}{c TT}{hline 44}
{txt}        {txt}      {c |}      Freq.    Percent      Valid       Cum.
{txt}{hline 13}{hline 1}{c +}{hline 44}
{txt}Missing .     {c |}{res}         61     100.00                      
{txt}{hline 13}{hline 1}{c BT}{hline 44}

{com}.         
.         gen test_acinfexp_apol = (acinfexp_apol != .)
{txt}
{com}.         replace test_acinfexp_apol = . if asked_survey == 0
{txt}(37 real changes made, 37 to missing)

{com}.         replace test_acinfexp_apol = . if aptpol_d == 0
{txt}(14 real changes made, 14 to missing)

{com}.         replace test_acinfexp_apol = . if elecpol_ovrsee == 1 
{txt}(10 real changes made, 10 to missing)

{com}.         fre test_acinfexp_apol
{res}
{txt}test_acinfexp_apol
{txt}{hline 9}{hline 1}{c TT}{hline 44}
{txt}        {txt}  {c |}      Freq.    Percent      Valid       Cum.
{txt}{hline 9}{hline 1}{c +}{hline 44}
{txt}Missing . {c |}{res}         61     100.00                      
{txt}{hline 9}{hline 1}{c BT}{hline 44}

{com}.         assert inlist(test_acinfexp_apol,.,1)
{txt}
{com}.         
.         drop test_acinfexp_apol
{txt}
{com}.         
.         * understand_epol
.         
.         lab var understand_epol "Has capacity to read/understand budget (elec. politician)"
{txt}
{com}.         
.         fre understand_epol
{res}
{txt}understand_epol {hline 2} Has capacity to read/understand budget (elec. politician)
{txt}{hline 28}{hline 1}{c TT}{hline 44}
{txt}        {txt}                     {c |}      Freq.    Percent      Valid       Cum.
{txt}{hline 28}{hline 1}{c +}{hline 44}
{txt}Valid   Definitely capable   {c |}{res}          1       1.64       5.26       5.26
{txt}        Only with difficulty {c |}{res}          2       3.28      10.53      15.79
{txt}        Somewhat capable     {c |}{res}          9      14.75      47.37      63.16
{txt}        Definitely capable   {c |}{res}          2       3.28      10.53      73.68
{txt}        Only with difficulty {c |}{res}          1       1.64       5.26      78.95
{txt}        Somewhat capable     {c |}{res}          4       6.56      21.05     100.00
{txt}        Total                {c |}{res}         19      31.15     100.00           
{txt}Missing                      {c |}{res}         42      68.85                      
{txt}Total                        {c |}{res}         61     100.00                      
{txt}{hline 28}{hline 1}{c BT}{hline 44}

{com}.         
.         replace understand_epol = "1" if regexm(understand_epol,"Definitely capable")
{txt}(3 real changes made)

{com}.         replace understand_epol = "2" if regexm(understand_epol,"Somewhat capable")
{txt}(13 real changes made)

{com}.         replace understand_epol = "3" if regexm(understand_epol,"Only with difficulty")
{txt}(3 real changes made)

{com}.         replace understand_epol = "4" if regexm(understand_epol,"Not capable")
{txt}(0 real changes made)

{com}.         replace understand_epol = "5" if regexm(understand_epol,"Do not know")
{txt}(0 real changes made)

{com}.         
.         fre understand_epol
{res}
{txt}understand_epol {hline 2} Has capacity to read/understand budget (elec. politician)
{txt}{hline 13}{hline 1}{c TT}{hline 44}
{txt}        {txt}      {c |}      Freq.    Percent      Valid       Cum.
{txt}{hline 13}{hline 1}{c +}{hline 44}
{txt}Valid   1     {c |}{res}          3       4.92      15.79      15.79
{txt}        2     {c |}{res}         13      21.31      68.42      84.21
{txt}        3     {c |}{res}          3       4.92      15.79     100.00
{txt}        Total {c |}{res}         19      31.15     100.00           
{txt}Missing       {c |}{res}         42      68.85                      
{txt}Total         {c |}{res}         61     100.00                      
{txt}{hline 13}{hline 1}{c BT}{hline 44}

{com}.         
.         destring understand_epol, replace
{txt}understand_epol: all characters numeric; {res}replaced {txt}as {res}byte
{txt}(42 missing values generated)
{res}{txt}
{com}.         lab def understand_epol 1 "Definitely capable" 2 "Somewhat capable" 3 "Only with difficulty" 4 "Not capable" 5 "Do not know / Refuse to answer"
{txt}
{com}.         lab val understand_epol understand_epol
{txt}
{com}.         
.         fre understand_epol
{res}
{txt}understand_epol {hline 2} Has capacity to read/understand budget (elec. politician)
{txt}{hline 30}{hline 1}{c TT}{hline 44}
{txt}        {txt}                       {c |}      Freq.    Percent      Valid       Cum.
{txt}{hline 30}{hline 1}{c +}{hline 44}
{txt}Valid   1 Definitely capable   {c |}{res}          3       4.92      15.79      15.79
{txt}        2 Somewhat capable     {c |}{res}         13      21.31      68.42      84.21
{txt}        3 Only with difficulty {c |}{res}          3       4.92      15.79     100.00
{txt}        Total                  {c |}{res}         19      31.15     100.00           
{txt}Missing .                      {c |}{res}         42      68.85                      
{txt}Total                          {c |}{res}         61     100.00                      
{txt}{hline 30}{hline 1}{c BT}{hline 44}

{com}.         
.         gen test_understand_epol = (understand_epol != .)
{txt}
{com}.         replace test_understand_epol = . if asked_survey == 0 
{txt}(37 real changes made, 37 to missing)

{com}.         replace test_understand_epol = . if elecpol_ovrsee == 0
{txt}(1 real change made, 1 to missing)

{com}.         fre test_understand_epol
{res}
{txt}test_understand_epol
{txt}{hline 13}{hline 1}{c TT}{hline 44}
{txt}        {txt}      {c |}      Freq.    Percent      Valid       Cum.
{txt}{hline 13}{hline 1}{c +}{hline 44}
{txt}Valid   0     {c |}{res}          4       6.56      17.39      17.39
{txt}        1     {c |}{res}         19      31.15      82.61     100.00
{txt}        Total {c |}{res}         23      37.70     100.00           
{txt}Missing .     {c |}{res}         38      62.30                      
{txt}Total         {c |}{res}         61     100.00                      
{txt}{hline 13}{hline 1}{c BT}{hline 44}

{com}.         *assert inlist(test_understand_epol,.,1)
.         
.         *drop test_understand_epol
.         
.         * understand_apol
.         
.         lab var understand_apol "Has capacity to read/understand budget (app. politician)"
{txt}
{com}.         
.         fre understand_apol
{res}
{txt}understand_apol {hline 2} Has capacity to read/understand budget (app. politician)
{txt}{hline 28}{hline 1}{c TT}{hline 44}
{txt}        {txt}                     {c |}      Freq.    Percent      Valid       Cum.
{txt}{hline 28}{hline 1}{c +}{hline 44}
{txt}Valid   Definitely capable   {c |}{res}          1       1.64      50.00      50.00
{txt}        Only with difficulty {c |}{res}          1       1.64      50.00     100.00
{txt}        Total                {c |}{res}          2       3.28     100.00           
{txt}Missing                      {c |}{res}         59      96.72                      
{txt}Total                        {c |}{res}         61     100.00                      
{txt}{hline 28}{hline 1}{c BT}{hline 44}

{com}.         
.         replace understand_apol = "1" if regexm(understand_apol,"Definitely capable")
{txt}(1 real change made)

{com}.         replace understand_apol = "2" if regexm(understand_apol,"Somewhat capable")
{txt}(0 real changes made)

{com}.         replace understand_apol = "3" if regexm(understand_apol,"Only with difficulty")
{txt}(1 real change made)

{com}.         replace understand_apol = "4" if regexm(understand_apol,"Not capable")
{txt}(0 real changes made)

{com}.         replace understand_apol = "5" if regexm(understand_apol,"Do not know")
{txt}(0 real changes made)

{com}.         
.         destring understand_apol, replace
{txt}understand_apol: all characters numeric; {res}replaced {txt}as {res}byte
{txt}(59 missing values generated)
{res}{txt}
{com}.         lab def understand_apol 1 "Definitely capable" 2 "Somewhat capable" 3 "Only with difficulty" 4 "Not capable" 5 "Do not know / Refuse to answer"
{txt}
{com}.         lab val understand_apol understand_apol
{txt}
{com}.         
.         fre understand_apol
{res}
{txt}understand_apol {hline 2} Has capacity to read/understand budget (app. politician)
{txt}{hline 30}{hline 1}{c TT}{hline 44}
{txt}        {txt}                       {c |}      Freq.    Percent      Valid       Cum.
{txt}{hline 30}{hline 1}{c +}{hline 44}
{txt}Valid   1 Definitely capable   {c |}{res}          1       1.64      50.00      50.00
{txt}        3 Only with difficulty {c |}{res}          1       1.64      50.00     100.00
{txt}        Total                  {c |}{res}          2       3.28     100.00           
{txt}Missing .                      {c |}{res}         59      96.72                      
{txt}Total                          {c |}{res}         61     100.00                      
{txt}{hline 30}{hline 1}{c BT}{hline 44}

{com}.         
.         gen test_understand_apol = (understand_apol != .)
{txt}
{com}.         replace test_understand_apol = . if asked_survey == 0
{txt}(37 real changes made, 37 to missing)

{com}.         replace test_understand_apol = . if aptpol_d == 0
{txt}(14 real changes made, 14 to missing)

{com}.         replace test_understand_apol = . if elecpol_ovrsee == 1 
{txt}(10 real changes made, 10 to missing)

{com}.         fre test_understand_apol
{res}
{txt}test_understand_apol
{txt}{hline 9}{hline 1}{c TT}{hline 44}
{txt}        {txt}  {c |}      Freq.    Percent      Valid       Cum.
{txt}{hline 9}{hline 1}{c +}{hline 44}
{txt}Missing . {c |}{res}         61     100.00                      
{txt}{hline 9}{hline 1}{c BT}{hline 44}

{com}.         assert inlist(test_understand_apol,.,1)
{txt}
{com}.         
.         drop test_understand_apol
{txt}
{com}.         
.         * acttake_epol
.         
.         lab var acttake_epol "Elec. pol not satisfied with head bureaucrat, which action"
{txt}
{com}.         fre acttake_epol
{res}
{txt}acttake_epol {hline 2} Elec. pol not satisfied with head bureaucrat, which action
{txt}{hline 58}{hline 1}{c TT}{hline 44}
{txt}        {txt}                                                   {c |}      Freq.    Percent      Valid       Cum.
{txt}{hline 58}{hline 1}{c +}{hline 44}
{txt}Valid   Complain to the ministry / higher-up bureaucrats   {c |}{res}          2       3.28       8.70       8.70
{txt}        Complain to the ministry / higher-up               {c |}{res}          1       1.64       4.35      13.04
{txt}        bureaucrats,Complain to higher-level politicians   {c |}{res}                                            
{txt}        Issue a formal warning                             {c |}{res}          1       1.64       4.35      17.39
{txt}        Issue a formal warning,Complain to the ministry /  {c |}{res}          2       3.28       8.70      26.09
{txt}        higher-up bureaucrats,Complain to higher-level     {c |}{res}                                            
{txt}        politicians                                        {c |}{res}                                            
{txt}        Other (please specify)                             {c |}{res}          2       3.28       8.70      34.78
{txt}        Request a transfer with high probability of        {c |}{res}          2       3.28       8.70      43.48
{txt}        success                                            {c |}{res}                                            
{txt}        Request a transfer with high probability of        {c |}{res}          1       1.64       4.35      47.83
{txt}        success,Issue a formal warning,Complain to the     {c |}{res}                                            
{txt}        ministry / higher-up bureaucrats                   {c |}{res}                                            
{txt}        Request a transfer with low probability of success {c |}{res}          1       1.64       4.35      52.17
{txt}        Request a transfer with low probability of         {c |}{res}          1       1.64       4.35      56.52
{txt}        success,Complain to the ministry / higher-up       {c |}{res}                                            
{txt}        bureaucrats,Bring the issue to the attention of    {c |}{res}                                            
{txt}        the media,Mobilize citizens                        {c |}{res}                                            
{txt}        Request a transfer with medium probability of      {c |}{res}          2       3.28       8.70      65.22
{txt}        success                                            {c |}{res}                                            
{txt}        Request a transfer with medium probability of      {c |}{res}          1       1.64       4.35      69.57
{txt}        success,Issue a formal warning,Complain to the     {c |}{res}                                            
{txt}        ministry / higher-up bureaucrats,Complain to       {c |}{res}                                            
{txt}        higher-level politicians                           {c |}{res}                                            
{txt}        Terminate contract/fire bureaucrat                 {c |}{res}          1       1.64       4.35      73.91
{txt}        Terminate contract/fire bureaucrat,Transfer the    {c |}{res}          3       4.92      13.04      86.96
{txt}        bureaucrat,Issue a formal warning,Bring the issue  {c |}{res}                                            
{txt}        to the attention of the media                      {c |}{res}                                            
{txt}        Transfer the bureaucrat                            {c |}{res}          1       1.64       4.35      91.30
{txt}        Transfer the bureaucrat,Other (please specify)     {c |}{res}          2       3.28       8.70     100.00
{txt}        Total                                              {c |}{res}         23      37.70     100.00           
{txt}Missing                                                    {c |}{res}         38      62.30                      
{txt}Total                                                      {c |}{res}         61     100.00                      
{txt}{hline 58}{hline 1}{c BT}{hline 44}

{com}.         
.         replace acttake_epol = subinstr(acttake_epol,","," ",.)
{txt}(11 real changes made)

{com}.         replace acttake_epol = subinstr(acttake_epol,"Terminate contract/fire bureaucrat","1",.)
{txt}(4 real changes made)

{com}.         replace acttake_epol = subinstr(acttake_epol,"Transfer the bureaucrat","2",.)
{txt}(6 real changes made)

{com}.         replace acttake_epol = subinstr(acttake_epol,"Request a transfer with high probability of success","3",.)
{txt}(3 real changes made)

{com}.         replace acttake_epol = subinstr(acttake_epol,"Request a transfer with medium probability of success","4",.)
{txt}(3 real changes made)

{com}.         replace acttake_epol = subinstr(acttake_epol,"Request a transfer with low probability of success","5",.)
{txt}(2 real changes made)

{com}.         replace acttake_epol = subinstr(acttake_epol,"Issue a formal warning","6",.)
{txt}(8 real changes made)

{com}.         replace acttake_epol = subinstr(acttake_epol,"Complain to the ministry / higher-up bureaucrats","7",.)
{txt}(8 real changes made)

{com}.         replace acttake_epol = subinstr(acttake_epol,"Complain to higher-level politicians","8",.)
{txt}(4 real changes made)

{com}.         replace acttake_epol = subinstr(acttake_epol,"Bring the issue to the attention of the media","9",.)
{txt}(4 real changes made)

{com}.         replace acttake_epol = subinstr(acttake_epol,"Mobilize citizens","10",.)
{txt}(1 real change made)

{com}.         replace acttake_epol = subinstr(acttake_epol,"Other (please specify)","11",.)
{txt}(4 real changes made)

{com}.         replace acttake_epol = subinstr(acttake_epol,"None","12",.)
{txt}(0 real changes made)

{com}.         replace acttake_epol = subinstr(acttake_epol,"Do not know / Refuse to answer","98",.)
{txt}(0 real changes made)

{com}.         
.         forvalues x = 12(-1)1 {c -(}
{txt}  2{com}.         
.                 gen acttake_epol_d_`x' = .
{txt}  3{com}.                 replace acttake_epol_d_`x' = 0 if acttake_epol != ""
{txt}  4{com}.                 replace acttake_epol_d_`x' = 1 if regexm(acttake_epol,"`x'")
{txt}  5{com}.                 lab def acttake_epol_d_`x' 0 "No" 1 "Yes"
{txt}  6{com}.                 lab val acttake_epol_d_`x' acttake_epol_d_`x'
{txt}  7{com}.                 order acttake_epol_d_`x', after(acttake_epol)
{txt}  8{com}.                 {c )-}
{txt}(61 missing values generated)
(23 real changes made)
(0 real changes made)
(61 missing values generated)
(23 real changes made)
(4 real changes made)
(61 missing values generated)
(23 real changes made)
(1 real change made)
(61 missing values generated)
(23 real changes made)
(4 real changes made)
(61 missing values generated)
(23 real changes made)
(4 real changes made)
(61 missing values generated)
(23 real changes made)
(8 real changes made)
(61 missing values generated)
(23 real changes made)
(8 real changes made)
(61 missing values generated)
(23 real changes made)
(2 real changes made)
(61 missing values generated)
(23 real changes made)
(3 real changes made)
(61 missing values generated)
(23 real changes made)
(3 real changes made)
(61 missing values generated)
(23 real changes made)
(6 real changes made)
(61 missing values generated)
(23 real changes made)
(9 real changes made)

{com}.                 
.                 
. 
.         
.         e

{txt}end of do-file


{com}. do "/Users/fredericcochinard/Dropbox/Age bunching/Dofiles/0.setpaths_FC.do"
{txt}
{com}. *Set paths
. 
. clear all
{txt}
{com}. 
. ********************************************************************************
. *Read working directory and determine user
. global user = "/Users/fredericcochinard/Dropbox/Age bunching/"
{txt}
{com}. 
. *Set sub-paths
. global rawloc "${c -(}user{c )-}Data/raw/"
{txt}
{com}. global cleanloc "${c -(}user{c )-}Data/clean/"
{txt}
{com}. global temploc "${c -(}user{c )-}Data/temp/"
{txt}
{com}. global outputloc "${c -(}user{c )-}Results/"
{txt}
{com}. global doloc "${c -(}user{c )-}Dofiles/_xCountry/"
{txt}
{com}. global edited "${c -(}user{c )-}Data/editedv1/"
{txt}
{com}. global edited2 "${c -(}user{c )-}Data/editedv2/"
{txt}
{com}. global tables "${c -(}user{c )-}Results/Tables/"
{txt}
{com}. global comploc "${c -(}user{c )-}Data/compiled/"
{txt}
{com}. 
. cd "$user"
{res}/Users/fredericcochinard/Dropbox/Age bunching
{txt}
{com}. 
. set maxvar 30000

{txt}
{com}. set matsize 11000
{txt}
{com}. 
. *Program for date and time
. 
. capture program drop datetime
{txt}
{com}. program define datetime
{txt}  1{com}.         di "Surveytype variable is: $surveytype"
{txt}  2{com}.         di "Rural/Urban variable is: $ruralurban"
{txt}  3{com}.         di "Supervisor variable is: $supervisor"
{txt}  4{com}.         di "Enumerator variable is: $enum"
{txt}  5{com}.         di "Data entry clerk variable is: $dataclerk"
{txt}  6{com}.         di "Respondent variable is: $resp"
{txt}  7{com}.         di "Day variable is: $day"
{txt}  8{com}.         di "Month variable is: $month"
{txt}  9{com}.         di "Year variable is: $year"
{txt} 10{com}.         di "Start hours variable is: $st_hours"
{txt} 11{com}.         di "Start minutes variable is: $st_minutes"
{txt} 12{com}.         di "End hours variable is: $end_hours"
{txt} 13{com}.         di "End minutes variable is: $end_minutes"
{txt} 14{com}.         di "Highest level of educ attended is: $highlvl_educ"
{txt} 15{com}.         di "Highest grade of educ at lvl attended is: $highgrade_educ"
{txt} 16{com}.         cap decode $ruralurban , gen(temp)
{txt} 17{com}.         cap replace temp = upper(temp)
{txt} 18{com}.         cap gen ruralurban_$surveytype = .
{txt} 19{com}.         cap replace ruralurban_$surveytype = (regexm(temp,"RUR"))
{txt} 20{com}.         cap drop temp
{txt} 21{com}.         cap gen supervisor_$surveytype = .
{txt} 22{com}.         cap replace supervisor_$surveytype = $supervisor
{txt} 23{com}.         cap gen enumerator_$surveytype = .
{txt} 24{com}.         cap replace enumerator_$surveytype = $enum
{txt} 25{com}.         cap gen dataclerk_$surveytype = .
{txt} 26{com}.         cap replace dataclerk_$surveytype = $dataclerk
{txt} 27{com}.         cap gen respondent_$surveytype = .
{txt} 28{com}.         cap replace respondent_$surveytype = $resp
{txt} 29{com}.         cap gen surveytype = "$surveytype"
{txt} 30{com}.         cap replace respondent_$surveytype = id03_line if inlist(surveytype,"wm","mn")
{txt} 31{com}.         cap drop surveytype
{txt} 32{com}.         cap destring $day, replace force
{txt} 33{com}.         cap replace $day = . if $day <= 0 | $day >= 32
{txt} 34{com}.         cap tostring $day, gen(day)
{txt} 35{com}.         cap destring $month, replace force
{txt} 36{com}.         cap replace $month = . if $month <= 0 | $month >= 13
{txt} 37{com}.         cap tostring $month, gen(mofy)
{txt} 38{com}.         cap destring $year, replace force
{txt} 39{com}.         cap replace $year = . if  $year <= 0
{txt} 40{com}.         cap tostring $year, gen(year)
{txt} 41{com}.         cap replace year = "`svy'" if year == ""
{txt} 42{com}.         cap replace year = subinstr(year,"MICS_","",.)
{txt} 43{com}.         cap gen date = ""
{txt} 44{com}.         cap replace date=day+"/"+mofy+"/"+year
{txt} 45{com}.         cap gen double start_date_$surveytype=date(date,"DMY")
{txt} 46{com}.         cap format start_date_$surveytype %td
{txt} 47{com}.         cap destring $st_hours, replace force
{txt} 48{com}.         cap replace $st_hours = . if $st_hours < 0 | $st_hours >= 24
{txt} 49{com}.         cap tostring $st_hours, gen(st_hours)
{txt} 50{com}.         cap destring $st_minutes, replace force
{txt} 51{com}.         cap replace $st_minutes = . if $st_minutes < 0 | $st_minutes >= 60
{txt} 52{com}.         cap tostring $st_minutes, gen(st_minutes)
{txt} 53{com}.         cap gen st_time = ""
{txt} 54{com}.         cap replace st_time=day+"/"+mofy+"/"+year+":"+st_hours+"-"+st_minutes
{txt} 55{com}.         cap gen double start_time_$surveytype=clock(st_time,"DMYhm")
{txt} 56{com}.         cap format start_time_$surveytype %tcddmonYY_hH:MM
{txt} 57{com}.         cap destring $end_hours, replace force
{txt} 58{com}.         cap replace $end_hours = . if $end_hours < 0 | $end_hours >= 24
{txt} 59{com}.         cap tostring $end_hours, gen(end_hours)
{txt} 60{com}.         cap destring $end_minutes, replace force
{txt} 61{com}.         cap replace $end_minutes = . if $end_minutes < 0 | $end_minutes >= 60
{txt} 62{com}.         cap tostring $end_minutes, gen(end_minutes)
{txt} 63{com}.         cap gen end_time = ""
{txt} 64{com}.         cap replace end_time=day+"/"+mofy+"/"+year+":"+end_hours+"-"+end_minutes
{txt} 65{com}.         cap gen double end_time_$surveytype=clock(end_time,"DMYhm")
{txt} 66{com}.         cap format end_time_$surveytype %tcddmonYY_hH:MM
{txt} 67{com}.         *cap drop date st_time end_time
.         cap decode $highlvl_educ , gen(temp)
{txt} 68{com}.         cap replace temp = upper(temp)
{txt} 69{com}.         cap gen highlvl_educ_$surveytype = ""
{txt} 70{com}.         cap replace highlvl_educ_$surveytype = temp
{txt} 71{com}.         cap drop temp
{txt} 72{com}.         cap gen highlvls_educ_$surveytype = .
{txt} 73{com}.         cap replace highlvls_educ_$surveytype = $highlvl_educ
{txt} 74{com}.         cap lab val highlvls_educ_$surveytype
{txt} 75{com}.         cap destring $highgrade_educ, replace force
{txt} 76{com}.         cap gen highgrade_educ_$surveytype = .
{txt} 77{com}.         cap replace highgrade_educ_$surveytype = $highgrade_educ
{txt} 78{com}.         
.         
.         local datetime
{txt} 79{com}.         foreach var in ruralurban_$surveytype supervisor_$surveytype enumerator_$surveytype respondent_$surveytype dataclerk_$surveytype start_date_$surveytype start_time_$surveytype end_time_$surveytype highlvls_educ_$surveytype highgrade_educ_$surveytype {c -(}
{txt} 80{com}.                 cap noisily sum `var'
{txt} 81{com}.                 if `r(N)' != 0 {c -(}
{txt} 82{com}.                         local datetime `datetime' `var'
{txt} 83{com}.                         {c )-}
{txt} 84{com}.                 {c )-}
{txt} 85{com}.                 
.         cap noisily count if highlvl_educ_$surveytype != ""
{txt} 86{com}.         if `r(N)' != 0 {c -(}
{txt} 87{com}.                 local datetime `datetime' highlvl_educ_$surveytype
{txt} 88{com}.                 {c )-}
{txt} 89{com}.                 
.         global datetime_$surveytype `datetime'
{txt} 90{com}. end
{txt}
{com}. 
. *Program for assetcollect
. 
. capture program drop assetcollect
{txt}
{com}. program define assetcollect
{txt}  1{com}.         di "Surveytype variable is: $surveytype"
{txt}  2{com}.         di "Supervisor variable is: $supervisor"
{txt}  3{com}.         di "Enumerator variable is: $enum"
{txt}  4{com}.         di "Respondent variable is: $resp"
{txt}  5{com}.         di "Consent variable is: $consent"
{txt}  6{com}.         di "Day variable is: $day"
{txt}  7{com}.         di "Month variable is: $month"
{txt}  8{com}.         di "Year variable is: $year"
{txt}  9{com}.         di "Start hours variable is: $st_hours"
{txt} 10{com}.         di "Start minutes variable is: $st_minutes"
{txt} 11{com}.         di "End hours variable is: $end_hours"
{txt} 12{com}.         di "End minutes variable is: $end_minutes"
{txt} 13{com}.         di "Household eligible for men questionnaire is: $menelig"
{txt} 14{com}.         di "Household eligible for water quality testing is: $watqual"
{txt} 15{com}.         di "Household eligible for blank testing is: $blanktest"
{txt} 16{com}.         cap gen supervisor_$surveytype = .
{txt} 17{com}.         cap replace supervisor_$surveytype = $supervisor
{txt} 18{com}.         cap gen enumerator_$surveytype = .
{txt} 19{com}.         cap replace enumerator_$surveytype = $enum
{txt} 20{com}.         cap gen respondent_$surveytype = .
{txt} 21{com}.         cap replace respondent_$surveytype = $resp
{txt} 22{com}.         cap gen consent_$surveytype = 0
{txt} 23{com}.         cap replace consent_$surveytype = 1 if $consent == 1
{txt} 24{com}.         cap replace $consent = upper($consent)
{txt} 25{com}.         cap replace consent_$surveytype = 1 if regexm($consent,"YES") | regexm($consent,"OUI") | regexm($consent,"SÍ") | regexm($consent,"SI")
{txt} 26{com}.         cap destring $day, replace force
{txt} 27{com}.         cap replace $day = . if $day <= 0 | $day >= 32
{txt} 28{com}.         cap tostring $day, gen(day)
{txt} 29{com}.         cap destring $month, replace force
{txt} 30{com}.         cap replace $month = . if $month <= 0 | $month >= 13
{txt} 31{com}.         cap tostring $month, gen(mofy)
{txt} 32{com}.         cap destring $year, replace force
{txt} 33{com}.         cap replace $year = . if  $year <= 0
{txt} 34{com}.         cap tostring $year, gen(year)
{txt} 35{com}.         cap replace year = "`svy'" if year == ""
{txt} 36{com}.         cap replace year = subinstr(year,"MICS_","",.)
{txt} 37{com}.         cap gen date = ""
{txt} 38{com}.         cap replace date=day+"/"+mofy+"/"+year
{txt} 39{com}.         cap gen double start_date_$surveytype=date(date,"DMY")
{txt} 40{com}.         cap format start_date_$surveytype %td
{txt} 41{com}.         cap destring $st_hours, replace force
{txt} 42{com}.         cap replace $st_hours = . if $st_hours < 0 | $st_hours >= 24
{txt} 43{com}.         cap tostring $st_hours, gen(st_hours)
{txt} 44{com}.         cap destring $st_minutes, replace force
{txt} 45{com}.         cap replace $st_minutes = . if $st_minutes < 0 | $st_minutes >= 60
{txt} 46{com}.         cap tostring $st_minutes, gen(st_minutes)
{txt} 47{com}.         cap gen st_time = ""
{txt} 48{com}.         cap replace st_time=day+"/"+mofy+"/"+year+":"+st_hours+"-"+st_minutes
{txt} 49{com}.         cap gen double start_time_$surveytype=clock(st_time,"DMYhm")
{txt} 50{com}.         cap format start_time_$surveytype %tcddmonYY_hH:MM
{txt} 51{com}.         
.         cap destring $end_hours, replace force
{txt} 52{com}.         cap replace $end_hours = . if $end_hours < 0 | $end_hours >= 24
{txt} 53{com}.         cap tostring $end_hours, gen(end_hours)
{txt} 54{com}.         cap destring $end_minutes, replace force
{txt} 55{com}.         cap replace $end_minutes = . if $end_minutes < 0 | $end_minutes >= 60
{txt} 56{com}.         cap tostring $end_minutes, gen(end_minutes)
{txt} 57{com}.         cap gen end_time = ""
{txt} 58{com}.         cap replace end_time=day+"/"+mofy+"/"+year+":"+end_hours+"-"+end_minutes
{txt} 59{com}.         cap gen double end_time_$surveytype=clock(end_time,"DMYhm")
{txt} 60{com}.         cap format end_time_$surveytype %tcddmonYY_hH:MM
{txt} 61{com}.         cap drop date st_time end_time
{txt} 62{com}.         cap gen men_eligible_$surveytype = .
{txt} 63{com}.         cap replace men_eligible_$surveytype = $menelig
{txt} 64{com}.         cap recode men_eligible_$surveytype (2=0)
{txt} 65{com}.         cap gen water_qual_eligible_$surveytype = .
{txt} 66{com}.         cap replace water_qual_eligible_$surveytype = $watqual
{txt} 67{com}.         cap recode water_qual_eligible_$surveytype (2=0)
{txt} 68{com}.         cap gen blank_test_eligible_$surveytype = .
{txt} 69{com}.         cap replace blank_test_eligible_$surveytype = $blanktest
{txt} 70{com}.         cap recode blank_test_eligible_$surveytype (2=0)
{txt} 71{com}.         
.         local assetcollect
{txt} 72{com}.         foreach var in supervisor_$surveytype enumerator_$surveytype respondent_$surveytype consent_$surveytype start_date_$surveytype start_time_$surveytype end_time_$surveytype men_eligible_$surveytype water_qual_eligible_$surveytype blank_test_eligible_$surveytype {c -(}
{txt} 73{com}.                 cap noisily sum `var'
{txt} 74{com}.                 if `r(N)' != 0 {c -(}
{txt} 75{com}.                         local assetcollect `assetcollect' `var'
{txt} 76{com}.                         {c )-}
{txt} 77{com}.                 {c )-}
{txt} 78{com}. 
.                 
.         global assetcollect_$surveytype `assetcollect'
{txt} 79{com}. end
{txt}
{com}. 
. 
{txt}end of do-file

{com}. do "/var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//SD44938.000000"
{txt}
{com}. 
.         
.         * Loop over DHS datasets
.         ********************************************************************************
. 
.         cap clear all
{txt}
{com}.         set scheme s1mono
{txt}
{com}. 
.         * Collecting the country and year of file
. 
.         filelist , dir("$rawloc") pat("*.DTA")
{res}{txt}Number of files found = {res}2392
{txt}
{com}.         
.         preserve
{txt}
{com}.         
.         filelist , dir("$rawloc") pat("*.dta")
{res}{txt}Number of files found = {res}2840
{txt}
{com}.         
.         * We drop special case from MOZ
.         
.         drop if regexm(filename,"MOZ_population_statistics")
{txt}(0 observations deleted)

{com}.         
.         tempfile file
{txt}
{com}.         sa "`file'"
{txt}file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.000002 saved

{com}.         
.         restore
{txt}
{com}.         
.         append using "`file'"
{txt}{p 0 7 2}
(note: variable
dirname was 
str101, now str258 to accommodate using data's values)
{p_end}
{p 0 7 2}
(note: variable
filename was 
str33, now str70 to accommodate using data's values)
{p_end}

{com}. 
.         * We only select the DHS
.         
.         gen kept = 0
{txt}
{com}.         replace kept = 1 if regexm(dirname,"DHS") | regexm(dirname,"MIS") | regexm(dirname,"KAP") | regexm(dirname,"AIS")
{txt}(2,695 real changes made)

{com}.         
.         keep if kept == 1
{txt}(2,537 observations deleted)

{com}.         drop if regexm(dirname,"_other_surveys")
{txt}(24 observations deleted)

{com}.         
.         split dirname, p("//")
{res}variables created as string: 
{txt}{col 1}dirname1{col 11}dirname2

{com}.         
.         keep dirname dirname2 filename
{txt}
{com}.         ren dirname2 temp
{res}{txt}
{com}.         split temp, p("/")
{res}variables created as string: 
{txt}{col 1}temp1{col 8}temp2{col 15}temp3{col 22}temp4{col 29}temp5{col 36}temp6{col 43}temp7{col 50}temp8

{com}.         
.         keep dirname filename temp1 temp2
{txt}
{com}.         ren temp1 country
{res}{txt}
{com}.         
.         replace temp2 = subinstr(temp2,"DHS_","",.)
{txt}(2,413 real changes made)

{com}.         replace temp2 = subinstr(temp2,"MIS_","",.)
{txt}(140 real changes made)

{com}.         replace temp2 = subinstr(temp2,"KAP_","",.)
{txt}(5 real changes made)

{com}.         replace temp2 = subinstr(temp2,"AIS_","",.)
{txt}(16 real changes made)

{com}.         ren temp2 temp
{res}{txt}
{com}.         split temp, p("-")
{res}variables created as string: 
{txt}{col 1}temp1{col 8}temp2

{com}.         drop temp temp2
{txt}
{com}.         ren temp1 year
{res}{txt}
{com}.         
.         * We load the excel information document
.         
.         preserve
{txt}
{com}.         
.         use "$comploc/survey_age_thresholds_dhs.dta", clear
{txt}
{com}.         
.         fre hiv_prob_men men_prob
{res}
{txt}hiv_prob_men
{txt}{hline 13}{hline 1}{c TT}{hline 44}
{txt}        {txt}      {c |}      Freq.    Percent      Valid       Cum.
{txt}{hline 13}{hline 1}{c +}{hline 44}
{txt}Valid   0     {c |}{res}        301      78.18      78.18      78.18
{txt}        .14   {c |}{res}          2       0.52       0.52      78.70
{txt}        .18   {c |}{res}          1       0.26       0.26      78.96
{txt}        .33   {c |}{res}         11       2.86       2.86      81.82
{txt}        .38   {c |}{res}          1       0.26       0.26      82.08
{txt}        .5    {c |}{res}         40      10.39      10.39      92.47
{txt}        .67   {c |}{res}          4       1.04       1.04      93.51
{txt}        1     {c |}{res}         25       6.49       6.49     100.00
{txt}        Total {c |}{res}        385     100.00     100.00           
{txt}{hline 13}{hline 1}{c BT}{hline 44}
{res}
{txt}men_prob {hline 2} men_prob
{txt}{hline 13}{hline 1}{c TT}{hline 44}
{txt}        {txt}      {c |}      Freq.    Percent      Valid       Cum.
{txt}{hline 13}{hline 1}{c +}{hline 44}
{txt}Valid   0     {c |}{res}        155      40.26      40.36      40.36
{txt}        .08   {c |}{res}          1       0.26       0.26      40.62
{txt}        .14   {c |}{res}          3       0.78       0.78      41.41
{txt}        .2    {c |}{res}          2       0.52       0.52      41.93
{txt}        .25   {c |}{res}          8       2.08       2.08      44.01
{txt}        .32   {c |}{res}          1       0.26       0.26      44.27
{txt}        .33   {c |}{res}         69      17.92      17.97      62.24
{txt}        .37   {c |}{res}          1       0.26       0.26      62.50
{txt}        .38   {c |}{res}          1       0.26       0.26      62.76
{txt}        .4    {c |}{res}          1       0.26       0.26      63.02
{txt}        .5    {c |}{res}         91      23.64      23.70      86.72
{txt}        .67   {c |}{res}          5       1.30       1.30      88.02
{txt}        1     {c |}{res}         46      11.95      11.98     100.00
{txt}        Total {c |}{res}        384      99.74     100.00           
{txt}Missing .     {c |}{res}          1       0.26                      
{txt}Total         {c |}{res}        385     100.00                      
{txt}{hline 13}{hline 1}{c BT}{hline 44}

{com}.         
.         gen MQsample_check=0
{txt}
{com}.         replace MQsample_check=1 if men_prob<1 & men_prob>0 & hiv_prob_men!=men_prob
{txt}(127 real changes made)

{com}.         tab MQsampl*

           {txt}{c |}    MQsample_check
  MQsample {c |}         0          1 {c |}     Total
{hline 11}{c +}{hline 22}{c +}{hline 10}
         0 {c |}{res}       202          7 {txt}{c |}{res}       209 
{txt}         1 {c |}{res}        56        120 {txt}{c |}{res}       176 
{txt}{hline 11}{c +}{hline 22}{c +}{hline 10}
     Total {c |}{res}       258        127 {txt}{c |}{res}       385 

{txt}
{com}.         
.         gen HIVsample = 0
{txt}
{com}.         replace HIVsample = 1 if hiv_prob_men<1 & hiv_prob_men>0
{txt}(59 real changes made)

{com}.         
.         keep country year women_lower men_lower women_upper men_upper MQsample BMsample HIVsample men_prob
{txt}
{com}.         
.         keep if MQsample == 1 | BMsample == 1
{txt}(195 observations deleted)

{com}. 
.         tostring year, replace
{txt}year was {res:int} now {res:str4}

{com}.         order country year, first
{txt}
{com}.                 
.         * Checking the number of surveys
. 
.         duplicates drop

{p 0 4}{txt}Duplicates in terms of {txt} all variables{p_end}

(0 observations are duplicates)

{com}.         duplicates tag country year, gen(dup)

{p 0 4}{txt}Duplicates in terms of {res} country year{p_end}
{txt}
{com}.         
.         count
  {res}190
{txt}
{com}.         
.         tempfile info
{txt}
{com}.         sa "`info'"
{txt}file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.000004 saved

{com}.         
.         restore
{txt}
{com}.         
.         merge m:1 country year using "`info'"
{res}
{txt}{col 5}Result{col 38}# of obs.
{col 5}{hline 41}
{col 5}not matched{col 30}{res}           1,244
{txt}{col 9}from master{col 30}{res}           1,243{txt}  (_merge==1)
{col 9}from using{col 30}{res}               1{txt}  (_merge==2)

{col 5}matched{col 30}{res}           1,428{txt}  (_merge==3)
{col 5}{hline 41}

{com}.         
.         drop if _merge == 2
{txt}(1 observation deleted)

{com}. 
.         ren _merge merge1
{res}{txt}
{com}.         
.         * n_women_sample
.         
.         preserve
{txt}
{com}.         
.         use "${c -(}comploc{c )-}dhs_census_pairs.dta", clear
{txt}
{com}.         
.         keep country year_dhs n_women_sample
{txt}
{com}. 
.         drop if n_women_sample == 0
{txt}(29 observations deleted)

{com}. 
.         ren year_dhs year
{res}{txt}
{com}.         tostring year, replace
{txt}year was {res:int} now {res:str4}

{com}.         
.         duplicates drop

{p 0 4}{txt}Duplicates in terms of {txt} all variables{p_end}

(0 observations are duplicates)

{com}.         
.         tempfile pairs
{txt}
{com}.         sa "`pairs'"
{txt}file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.000006 saved

{com}.         
.         restore
{txt}
{com}.         
.         merge m:1 country year using "`pairs'"
{res}
{txt}{col 5}Result{col 38}# of obs.
{col 5}{hline 41}
{col 5}not matched{col 30}{res}           2,223
{txt}{col 9}from master{col 30}{res}           2,223{txt}  (_merge==1)
{col 9}from using{col 30}{res}               0{txt}  (_merge==2)

{col 5}matched{col 30}{res}             448{txt}  (_merge==3)
{col 5}{hline 41}

{com}.         
.         drop _merge
{txt}
{com}.         
.         * Eligible
.         
.         preserve
{txt}
{com}.         
.         use "${c -(}comploc{c )-}census_dhs_pairs.dta", clear
{txt}
{com}.         
.         keep country year_dhs women_lower men_lower women_upper men_upper eligible
{txt}
{com}.         
.         foreach var in women_lower men_lower women_upper men_upper eligible {c -(}
{txt}  2{com}.         
.                 ren `var' `var'_p
{txt}  3{com}.                 
.                 {c )-}
{res}{txt}
{com}.         
.         drop if eligible == 0
{txt}(62 observations deleted)

{com}. 
.         ren year_dhs year
{res}{txt}
{com}.         tostring year, replace
{txt}year was {res:int} now {res:str4}

{com}.         
.         duplicates drop

{p 0 4}{txt}Duplicates in terms of {txt} all variables{p_end}

(0 observations are duplicates)

{com}.         drop if country == "BGD" & women_lower_p == "13"
{txt}(0 observations deleted)

{com}. 
.         tempfile pairs
{txt}
{com}.         sa "`pairs'"
{txt}file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.000008 saved

{com}.         
.         restore
{txt}
{com}.         
.         merge m:1 country year using "`pairs'"
{res}
{txt}{col 5}Result{col 38}# of obs.
{col 5}{hline 41}
{col 5}not matched{col 30}{res}           2,497
{txt}{col 9}from master{col 30}{res}           2,497{txt}  (_merge==1)
{col 9}from using{col 30}{res}               0{txt}  (_merge==2)

{col 5}matched{col 30}{res}             174{txt}  (_merge==3)
{col 5}{hline 41}

{com}. 
.         drop if _merge == 2
{txt}(0 observations deleted)

{com}. 
.         gen test = 0
{txt}
{com}.         replace test = 1 if MQsample == 1
{txt}(1,349 real changes made)

{com}.         drop if test == 0
{txt}(1,322 observations deleted)

{com}.         
.         keep country year
{txt}
{com}.         duplicates drop

{p 0 4}{txt}Duplicates in terms of {txt} all variables{p_end}

(1,173 observations deleted)

{com}.         
.         gen level = country + "_DHS_" + year + "_clean.dta"
{txt}
{com}. 
.         levelsof level
{txt}`"AFG_DHS_2015_clean.dta"' `"AGO_DHS_2015_clean.dta"' `"ALB_DHS_2008_clean.dta"' `"ALB_DHS_2017_clean.dta"' `"ARM_DHS_2000_clean.dta"' `"ARM_DHS_2005_clean.dta"' `"ARM_DHS_2010_clean.dta"' `"ARM_DHS_2015_clean.dta"' `"AZE_DHS_2006_clean.dta"' `"BDI_DHS_2010_clean.dta"' `"BDI_DHS_2016_clean.dta"' `"BEN_DHS_1996_clean.dta"' `"BEN_DHS_2001_clean.dta"' `"BEN_DHS_2006_clean.dta"' `"BEN_DHS_2011_clean.dta"' `"BEN_DHS_2017_clean.dta"' `"BFA_DHS_1993_clean.dta"' `"BFA_DHS_1998_clean.dta"' `"BFA_DHS_2003_clean.dta"' `"BFA_DHS_2010_clean.dta"' `"BFA_DHS_2021_clean.dta"' `"BGD_DHS_1996_clean.dta"' `"BGD_DHS_1999_clean.dta"' `"BGD_DHS_2004_clean.dta"' `"BGD_DHS_2007_clean.dta"' `"BGD_DHS_2011_clean.dta"' `"BOL_DHS_1998_clean.dta"' `"BOL_DHS_2003_clean.dta"' `"BOL_DHS_2008_clean.dta"' `"BRA_DHS_1996_clean.dta"' `"CAF_DHS_1994_clean.dta"' `"CIV_DHS_1994_clean.dta"' `"CIV_DHS_1998_clean.dta"' `"CIV_DHS_2011_clean.dta"' `"CIV_DHS_2021_clean.dta"' `"CMR_DHS_1998_clean.dta"' `"CMR_DHS_2004_clean.dta"' `"CMR_DHS_2011_clean.dta"' `"CMR_DHS_2018_clean.dta"' `"COD_DHS_2007_clean.dta"' `"COD_DHS_2013_clean.dta"' `"COG_DHS_2005_clean.dta"' `"COG_DHS_2011_clean.dta"' `"COM_DHS_1996_clean.dta"' `"COM_DHS_2012_clean.dta"' `"DOM_DHS_2002_clean.dta"' `"ETH_DHS_2000_clean.dta"' `"ETH_DHS_2005_clean.dta"' `"GAB_DHS_2000_clean.dta"' `"GAB_DHS_2012_clean.dta"' `"GAB_DHS_2019_clean.dta"' `"GHA_DHS_1993_clean.dta"' `"GHA_DHS_1998_clean.dta"' `"GHA_DHS_2008_clean.dta"' `"GHA_DHS_2014_clean.dta"' `"GIN_DHS_1999_clean.dta"' `"GIN_DHS_2005_clean.dta"' `"GIN_DHS_2012_clean.dta"' `"GIN_DHS_2018_clean.dta"' `"GMB_DHS_2013_clean.dta"' `"GMB_DHS_2019_clean.dta"' `"GTM_DHS_2014_clean.dta"' `"HND_DHS_2011_clean.dta"' `"HTI_DHS_1994_clean.dta"' `"HTI_DHS_2000_clean.dta"' `"HTI_DHS_2005_clean.dta"' `"HTI_DHS_2012_clean.dta"' `"IDN_DHS_2002_clean.dta"' `"IDN_DHS_2007_clean.dta"' `"IDN_DHS_2012_clean.dta"' `"IDN_DHS_2017_clean.dta"' `"IND_DHS_2005_clean.dta"' `"IND_DHS_2015_clean.dta"' `"IND_DHS_2019_clean.dta"' `"JOR_DHS_2017_clean.dta"' `"KAZ_DHS_1999_clean.dta"' `"KEN_DHS_1993_clean.dta"' `"KEN_DHS_1998_clean.dta"' `"KEN_DHS_2003_clean.dta"' `"KEN_DHS_2008_clean.dta"' `"KEN_DHS_2014_clean.dta"' `"KEN_DHS_2022_clean.dta"' `"KGZ_DHS_2012_clean.dta"' `"KHM_DHS_2005_clean.dta"' `"KHM_DHS_2010_clean.dta"' `"KHM_DHS_2014_clean.dta"' `"KHM_DHS_2021_clean.dta"' `"LBR_DHS_2013_clean.dta"' `"LBR_DHS_2019_clean.dta"' `"LSO_DHS_2004_clean.dta"' `"LSO_DHS_2009_clean.dta"' `"LSO_DHS_2014_clean.dta"' `"MAR_DHS_1992_clean.dta"' `"MDA_DHS_2005_clean.dta"' `"MDG_DHS_2003_clean.dta"' `"MDG_DHS_2008_clean.dta"' `"MDG_DHS_2021_clean.dta"' `"MDV_DHS_2009_clean.dta"' `"MLI_DHS_1995_clean.dta"' `"MLI_DHS_2001_clean.dta"' `"MLI_DHS_2006_clean.dta"' `"MLI_DHS_2012_clean.dta"' `"MLI_DHS_2018_clean.dta"' `"MMR_DHS_2015_clean.dta"' `"MOZ_DHS_1997_clean.dta"' `"MOZ_DHS_2003_clean.dta"' `"MOZ_DHS_2011_clean.dta"' `"MRT_DHS_2019_clean.dta"' `"MWI_DHS_1992_clean.dta"' `"MWI_DHS_2000_clean.dta"' `"MWI_DHS_2004_clean.dta"' `"MWI_DHS_2010_clean.dta"' `"MWI_DHS_2015_clean.dta"' `"NAM_DHS_2000_clean.dta"' `"NAM_DHS_2006_clean.dta"' `"NAM_DHS_2013_clean.dta"' `"NER_DHS_1998_clean.dta"' `"NER_DHS_2006_clean.dta"' `"NER_DHS_2012_clean.dta"' `"NGA_DHS_2003_clean.dta"' `"NGA_DHS_2008_clean.dta"' `"NGA_DHS_2013_clean.dta"' `"NGA_DHS_2018_clean.dta"' `"NIC_DHS_1998_clean.dta"' `"NPL_DHS_2001_clean.dta"' `"NPL_DHS_2006_clean.dta"' `"NPL_DHS_2011_clean.dta"' `"NPL_DHS_2016_clean.dta"' `"NPL_DHS_2022_clean.dta"' `"PAK_DHS_2012_clean.dta"' `"PAK_DHS_2017_clean.dta"' `"PER_DHS_1996_clean.dta"' `"PHL_DHS_2003_clean.dta"' `"PNG_DHS_2016_clean.dta"' `"RWA_DHS_2000_clean.dta"' `"RWA_DHS_2005_clean.dta"' `"RWA_DHS_2010_clean.dta"' `"RWA_DHS_2014_clean.dta"' `"RWA_DHS_2019_clean.dta"' `"SEN_DHS_1992_clean.dta"' `"SEN_DHS_2005_clean.dta"' `"SEN_DHS_2010_clean.dta"' `"SEN_DHS_2014_clean.dta"' `"SEN_DHS_2015_clean.dta"' `"SEN_DHS_2016_clean.dta"' `"SEN_DHS_2017_clean.dta"' `"SEN_DHS_2018_clean.dta"' `"SEN_DHS_2019_clean.dta"' `"SLE_DHS_2008_clean.dta"' `"SLE_DHS_2013_clean.dta"' `"SLE_DHS_2019_clean.dta"' `"TCD_DHS_1996_clean.dta"' `"TCD_DHS_2004_clean.dta"' `"TCD_DHS_2014_clean.dta"' `"TGO_DHS_1998_clean.dta"' `"TGO_DHS_2013_clean.dta"' `"TLS_DHS_2009_clean.dta"' `"TLS_DHS_2016_clean.dta"' `"TZA_DHS_1991_clean.dta"' `"TZA_DHS_1996_clean.dta"' `"TZA_DHS_2004_clean.dta"' `"TZA_DHS_2010_clean.dta"' `"TZA_DHS_2015_clean.dta"' `"TZA_DHS_2022_clean.dta"' `"UGA_DHS_1995_clean.dta"' `"UGA_DHS_2000_clean.dta"' `"UGA_DHS_2006_clean.dta"' `"UGA_DHS_2011_clean.dta"' `"UGA_DHS_2016_clean.dta"' `"UKR_DHS_2007_clean.dta"' `"UZB_DHS_2002_clean.dta"' `"ZAF_DHS_2016_clean.dta"' `"ZMB_DHS_1996_clean.dta"' `"ZMB_DHS_2001_clean.dta"' `"ZWE_DHS_1994_clean.dta"' `"ZWE_DHS_1999_clean.dta"'

{com}. 
.         local lvlfiles `r(levels)'
{txt}
{com}.         
.         local z = 0
{txt}
{com}.         local z2 = 0
{txt}
{com}.         
.         foreach lvl of local lvlfiles {c -(}
{txt}  2{com}.         
.                 local temp : subinstr local lvl `"""' "", all
{txt}  3{com}.                 local lvl: subinstr local temp "'" "", all
{txt}  4{com}.                 
.                 use "$cleanloc/`lvl'", clear
{txt}  5{com}.         
.                 * We work on the supervisor and time
.                 
.                 qui fre supervisor_id
{txt}  6{com}.                 
.                 if `r(r_valid)' != 0 {c -(}
{txt}  7{com}.                 
.                         qui fre start_time_hha 
{txt}  8{com}.                         
.                                 if `r(r_valid)' != 0 {c -(}
{txt}  9{com}.                         
.                                         qui local z = `z' + 1
{txt} 10{com}.                                 
.                                         qui keep id01_cluster supervisor_id start_time_hha
{txt} 11{com}.                                         qui duplicates drop
{txt} 12{com}.                                         qui duplicates tag supervisor_id start_time_hha, gen(tag)
{txt} 13{com}.                                         qui keep supervisor_id tag
{txt} 14{com}.                                         qui duplicates drop
{txt} 15{com}.                                         qui byso supervisor_id: egen num_cluster_sametime = max(tag)
{txt} 16{com}.                                         qui keep supervisor_id num_cluster_sametime
{txt} 17{com}.                                         qui duplicates drop
{txt} 18{com}.                                         
.                                         gen file = "`lvl'"
{txt} 19{com}.                                         order file, first
{txt} 20{com}.                                         
.                                         tempfile data`z'
{txt} 21{com}.                                         sa "`data`z''"
{txt} 22{com}.                                         
.                                         {c )-}
{txt} 23{com}.                                         
.                                         {c )-}
{txt} 24{com}.                                         
.                 * We work on the enumerator
.                 
.                 use "$cleanloc/`lvl'", clear
{txt} 25{com}.                 
.                 cap gen enum_id_mn = .
{txt} 26{com}.                 cap gen enum_id_wm = .
{txt} 27{com}.                 
.                 keep id01_cluster supervisor_id enumerator_hha enum_id_mn enum_id_wm start_time_hha
{txt} 28{com}.                 
.                 replace enumerator_hha = enum_id_mn if !missing(enum_id_mn) & missing(enumerator_hha)
{txt} 29{com}.                 replace enumerator_hha = enum_id_wm if !missing(enum_id_wm) & missing(enumerator_hha)
{txt} 30{com}.                 
.                 qui fre supervisor_id
{txt} 31{com}.                 
.                 {c )-}
{txt}(0 real changes made)
(0 real changes made)
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.000009 saved
(0 real changes made)
(0 real changes made)
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.00000a saved
(0 real changes made)
(0 real changes made)
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.00000b saved
(0 real changes made)
(0 real changes made)
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.00000c saved
(0 real changes made)
(0 real changes made)
(0 real changes made)
(0 real changes made)
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.00000d saved
(0 real changes made)
(0 real changes made)
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.00000e saved
(0 real changes made)
(0 real changes made)
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.00000f saved
(0 real changes made)
(0 real changes made)
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.00000g saved
(0 real changes made)
(0 real changes made)
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.00000h saved
(0 real changes made)
(0 real changes made)
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.00000i saved
(0 real changes made)
(0 real changes made)
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.00000j saved
(0 real changes made)
(0 real changes made)
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.00000k saved
(0 real changes made)
(0 real changes made)
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.00000l saved
(0 real changes made)
(0 real changes made)
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.00000m saved
(0 real changes made)
(0 real changes made)
(0 real changes made)
(0 real changes made)
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.00000n saved
(0 real changes made)
(0 real changes made)
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.00000o saved
(0 real changes made)
(0 real changes made)
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.00000p saved
(0 real changes made)
(0 real changes made)
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.00000q saved
(0 real changes made)
(0 real changes made)
(4 real changes made)
(0 real changes made)
(0 real changes made)
(0 real changes made)
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.00000r saved
(0 real changes made)
(0 real changes made)
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.00000s saved
(0 real changes made)
(0 real changes made)
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.00000t saved
(0 real changes made)
(0 real changes made)
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.00000u saved
(0 real changes made)
(0 real changes made)
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.00000v saved
(0 real changes made)
(0 real changes made)
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.00000w saved
(0 real changes made)
(0 real changes made)
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.00000x saved
(0 real changes made)
(0 real changes made)
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.000010 saved
(0 real changes made)
(0 real changes made)
(0 real changes made)
(0 real changes made)
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.000011 saved
(0 real changes made)
(0 real changes made)
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.000012 saved
(0 real changes made)
(0 real changes made)
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.000013 saved
(0 real changes made)
(0 real changes made)
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.000014 saved
(3 real changes made)
(2 real changes made)
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.000015 saved
(0 real changes made)
(0 real changes made)
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.000016 saved
(1 real change made)
(1 real change made)
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.000017 saved
(0 real changes made)
(0 real changes made)
(0 real changes made)
(0 real changes made)
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.000018 saved
(0 real changes made)
(0 real changes made)
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.000019 saved
(0 real changes made)
(0 real changes made)
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.00001a saved
(0 real changes made)
(0 real changes made)
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.00001b saved
(0 real changes made)
(0 real changes made)
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.00001c saved
(0 real changes made)
(0 real changes made)
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.00001d saved
(0 real changes made)
(0 real changes made)
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.00001e saved
(0 real changes made)
(0 real changes made)
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.00001f saved
(0 real changes made)
(0 real changes made)
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.00001g saved
(0 real changes made)
(3 real changes made)
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.00001h saved
(0 real changes made)
(0 real changes made)
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.00001i saved
(0 real changes made)
(0 real changes made)
(0 real changes made)
(0 real changes made)
(0 real changes made)
(0 real changes made)
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.00001j saved
(0 real changes made)
(0 real changes made)
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.00001k saved
(0 real changes made)
(0 real changes made)
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.00001l saved
(0 real changes made)
(0 real changes made)
(0 real changes made)
(0 real changes made)
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.00001m saved
(0 real changes made)
(0 real changes made)
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.00001n saved
(0 real changes made)
(0 real changes made)
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.00001o saved
(0 real changes made)
(0 real changes made)
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.00001p saved
(0 real changes made)
(0 real changes made)
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.00001q saved
(0 real changes made)
(0 real changes made)
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.00001r saved
(0 real changes made)
(0 real changes made)
(0 real changes made)
(0 real changes made)
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.00001s saved
(0 real changes made)
(0 real changes made)
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.00001t saved
(0 real changes made)
(0 real changes made)
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.00001u saved
(0 real changes made)
(0 real changes made)
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.00001v saved
(0 real changes made)
(0 real changes made)
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.00001w saved
(0 real changes made)
(0 real changes made)
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.00001x saved
(0 real changes made)
(0 real changes made)
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.000020 saved
(0 real changes made)
(0 real changes made)
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.000021 saved
(0 real changes made)
(0 real changes made)
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.000022 saved
(0 real changes made)
(0 real changes made)
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.000023 saved
(1,108 real changes made)
(1,322 real changes made)
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.000024 saved
(0 real changes made)
(0 real changes made)
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.000025 saved
(0 real changes made)
(0 real changes made)
(0 real changes made)
(0 real changes made)
(0 real changes made)
(0 real changes made)
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.000026 saved
(0 real changes made)
(0 real changes made)
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.000027 saved
(0 real changes made)
(0 real changes made)
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.000028 saved
(0 real changes made)
(0 real changes made)
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.000029 saved
(0 real changes made)
(0 real changes made)
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.00002a saved
(0 real changes made)
(0 real changes made)
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.00002b saved
(0 real changes made)
(0 real changes made)
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.00002c saved
(0 real changes made)
(0 real changes made)
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.00002d saved
(0 real changes made)
(0 real changes made)
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.00002e saved
(0 real changes made)
(0 real changes made)
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.00002f saved
(0 real changes made)
(0 real changes made)
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.00002g saved
(0 real changes made)
(0 real changes made)
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.00002h saved
(0 real changes made)
(0 real changes made)
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.00002i saved
(0 real changes made)
(0 real changes made)
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.00002j saved
(0 real changes made)
(0 real changes made)
(0 real changes made)
(0 real changes made)
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.00002k saved
(0 real changes made)
(0 real changes made)
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.00002l saved
(0 real changes made)
(0 real changes made)
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.00002m saved
(0 real changes made)
(0 real changes made)
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.00002n saved
(0 real changes made)
(0 real changes made)
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.00002o saved
(0 real changes made)
(0 real changes made)
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.00002p saved
(0 real changes made)
(0 real changes made)
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.00002q saved
(2 real changes made)
(6 real changes made)
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.00002r saved
(4 real changes made)
(17 real changes made)
(0 real changes made)
(0 real changes made)
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.00002s saved
(0 real changes made)
(0 real changes made)
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.00002t saved
(2 real changes made)
(1 real change made)
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.00002u saved
(0 real changes made)
(0 real changes made)
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.00002v saved
(0 real changes made)
(0 real changes made)
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.00002w saved
(0 real changes made)
(0 real changes made)
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.00002x saved
(0 real changes made)
(0 real changes made)
(0 real changes made)
(0 real changes made)
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.000030 saved
(0 real changes made)
(0 real changes made)
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.000031 saved
(2 real changes made)
(1 real change made)
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.000032 saved
(0 real changes made)
(0 real changes made)
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.000033 saved
(0 real changes made)
(0 real changes made)
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.000034 saved
(0 real changes made)
(0 real changes made)
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.000035 saved
(0 real changes made)
(0 real changes made)
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.000036 saved
(0 real changes made)
(0 real changes made)
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.000037 saved
(0 real changes made)
(0 real changes made)
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.000038 saved
(0 real changes made)
(0 real changes made)
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.000039 saved
(0 real changes made)
(0 real changes made)
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.00003a saved
(0 real changes made)
(0 real changes made)
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.00003b saved
(8 real changes made)
(12 real changes made)
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.00003c saved
(0 real changes made)
(0 real changes made)
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.00003d saved
(0 real changes made)
(0 real changes made)
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.00003e saved
(7 real changes made)
(21 real changes made)
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.00003f saved
(0 real changes made)
(0 real changes made)
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.00003g saved
(0 real changes made)
(0 real changes made)
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.00003h saved
(0 real changes made)
(0 real changes made)
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.00003i saved
(0 real changes made)
(0 real changes made)
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.00003j saved
(0 real changes made)
(0 real changes made)
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.00003k saved
(0 real changes made)
(0 real changes made)
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.00003l saved
(0 real changes made)
(0 real changes made)
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.00003m saved
(8 real changes made)
(7 real changes made)
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.00003n saved
(1 real change made)
(2 real changes made)
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.00003o saved
(61 real changes made)
(520 real changes made)
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.00003p saved
(0 real changes made)
(0 real changes made)
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.00003q saved
(0 real changes made)
(0 real changes made)
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.00003r saved
(0 real changes made)
(0 real changes made)
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.00003s saved
(0 real changes made)
(0 real changes made)
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.00003t saved
(0 real changes made)
(0 real changes made)
(0 real changes made)
(0 real changes made)
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.00003u saved
(0 real changes made)
(0 real changes made)
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.00003v saved
(0 real changes made)
(0 real changes made)
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.00003w saved
(0 real changes made)
(0 real changes made)
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.00003x saved
(0 real changes made)
(0 real changes made)
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.000040 saved
(0 real changes made)
(0 real changes made)
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.000041 saved
(0 real changes made)
(0 real changes made)
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.000042 saved
(0 real changes made)
(0 real changes made)
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.000043 saved
(0 real changes made)
(0 real changes made)
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.000044 saved
(0 real changes made)
(0 real changes made)
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.000045 saved
(0 real changes made)
(0 real changes made)
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.000046 saved
(0 real changes made)
(0 real changes made)
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.000047 saved
(0 real changes made)
(0 real changes made)
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.000048 saved
(0 real changes made)
(0 real changes made)
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.000049 saved
(0 real changes made)
(0 real changes made)
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.00004a saved
(0 real changes made)
(0 real changes made)
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.00004b saved
(0 real changes made)
(0 real changes made)
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.00004c saved
(0 real changes made)
(0 real changes made)
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.00004d saved
(0 real changes made)
(0 real changes made)
(0 real changes made)
(0 real changes made)
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.00004e saved
(0 real changes made)
(0 real changes made)
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.00004f saved
(0 real changes made)
(0 real changes made)
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.00004g saved
(0 real changes made)
(0 real changes made)
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.00004h saved
(0 real changes made)
(0 real changes made)
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.00004i saved
(0 real changes made)
(0 real changes made)
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.00004j saved
(0 real changes made)
(0 real changes made)
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.00004k saved
(0 real changes made)
(0 real changes made)
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.00004l saved
(0 real changes made)
(0 real changes made)
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.00004m saved
(0 real changes made)
(0 real changes made)
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.00004n saved
(0 real changes made)
(0 real changes made)
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.00004o saved
(0 real changes made)
(0 real changes made)
(0 real changes made)
(0 real changes made)
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.00004p saved
(0 real changes made)
(0 real changes made)
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.00004q saved
(0 real changes made)
(0 real changes made)
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.00004r saved
(0 real changes made)
(0 real changes made)
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.00004s saved
(0 real changes made)
(0 real changes made)
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.00004t saved
(0 real changes made)
(0 real changes made)

{com}.                 e

{txt}end of do-file


{com}. do "/var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//SD44938.000000"
{txt}
{com}. 
.         
.         * Loop over DHS datasets
.         ********************************************************************************
. 
.         cap clear all
{txt}
{com}.         set scheme s1mono
{txt}
{com}. 
.         * Collecting the country and year of file
. 
.         filelist , dir("$rawloc") pat("*.DTA")
{res}{txt}Number of files found = {res}2392
{txt}
{com}.         
.         preserve
{txt}
{com}.         
.         filelist , dir("$rawloc") pat("*.dta")
{res}{txt}Number of files found = {res}2840
{txt}
{com}.         
.         * We drop special case from MOZ
.         
.         drop if regexm(filename,"MOZ_population_statistics")
{txt}(0 observations deleted)

{com}.         
.         tempfile file
{txt}
{com}.         sa "`file'"
{txt}file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.000002 saved

{com}.         
.         restore
{txt}
{com}.         
.         append using "`file'"
{txt}{p 0 7 2}
(note: variable
dirname was 
str101, now str258 to accommodate using data's values)
{p_end}
{p 0 7 2}
(note: variable
filename was 
str33, now str70 to accommodate using data's values)
{p_end}

{com}. 
.         * We only select the DHS
.         
.         gen kept = 0
{txt}
{com}.         replace kept = 1 if regexm(dirname,"DHS") | regexm(dirname,"MIS") | regexm(dirname,"KAP") | regexm(dirname,"AIS")
{txt}(2,695 real changes made)

{com}.         
.         keep if kept == 1
{txt}(2,537 observations deleted)

{com}.         drop if regexm(dirname,"_other_surveys")
{txt}(24 observations deleted)

{com}.         
.         split dirname, p("//")
{res}variables created as string: 
{txt}{col 1}dirname1{col 11}dirname2

{com}.         
.         keep dirname dirname2 filename
{txt}
{com}.         ren dirname2 temp
{res}{txt}
{com}.         split temp, p("/")
{res}variables created as string: 
{txt}{col 1}temp1{col 8}temp2{col 15}temp3{col 22}temp4{col 29}temp5{col 36}temp6{col 43}temp7{col 50}temp8

{com}.         
.         keep dirname filename temp1 temp2
{txt}
{com}.         ren temp1 country
{res}{txt}
{com}.         
.         replace temp2 = subinstr(temp2,"DHS_","",.)
{txt}(2,413 real changes made)

{com}.         replace temp2 = subinstr(temp2,"MIS_","",.)
{txt}(140 real changes made)

{com}.         replace temp2 = subinstr(temp2,"KAP_","",.)
{txt}(5 real changes made)

{com}.         replace temp2 = subinstr(temp2,"AIS_","",.)
{txt}(16 real changes made)

{com}.         ren temp2 temp
{res}{txt}
{com}.         split temp, p("-")
{res}variables created as string: 
{txt}{col 1}temp1{col 8}temp2

{com}.         drop temp temp2
{txt}
{com}.         ren temp1 year
{res}{txt}
{com}.         
.         * We load the excel information document
.         
.         preserve
{txt}
{com}.         
.         use "$comploc/survey_age_thresholds_dhs.dta", clear
{txt}
{com}.         
.         fre hiv_prob_men men_prob
{res}
{txt}hiv_prob_men
{txt}{hline 13}{hline 1}{c TT}{hline 44}
{txt}        {txt}      {c |}      Freq.    Percent      Valid       Cum.
{txt}{hline 13}{hline 1}{c +}{hline 44}
{txt}Valid   0     {c |}{res}        301      78.18      78.18      78.18
{txt}        .14   {c |}{res}          2       0.52       0.52      78.70
{txt}        .18   {c |}{res}          1       0.26       0.26      78.96
{txt}        .33   {c |}{res}         11       2.86       2.86      81.82
{txt}        .38   {c |}{res}          1       0.26       0.26      82.08
{txt}        .5    {c |}{res}         40      10.39      10.39      92.47
{txt}        .67   {c |}{res}          4       1.04       1.04      93.51
{txt}        1     {c |}{res}         25       6.49       6.49     100.00
{txt}        Total {c |}{res}        385     100.00     100.00           
{txt}{hline 13}{hline 1}{c BT}{hline 44}
{res}
{txt}men_prob {hline 2} men_prob
{txt}{hline 13}{hline 1}{c TT}{hline 44}
{txt}        {txt}      {c |}      Freq.    Percent      Valid       Cum.
{txt}{hline 13}{hline 1}{c +}{hline 44}
{txt}Valid   0     {c |}{res}        155      40.26      40.36      40.36
{txt}        .08   {c |}{res}          1       0.26       0.26      40.62
{txt}        .14   {c |}{res}          3       0.78       0.78      41.41
{txt}        .2    {c |}{res}          2       0.52       0.52      41.93
{txt}        .25   {c |}{res}          8       2.08       2.08      44.01
{txt}        .32   {c |}{res}          1       0.26       0.26      44.27
{txt}        .33   {c |}{res}         69      17.92      17.97      62.24
{txt}        .37   {c |}{res}          1       0.26       0.26      62.50
{txt}        .38   {c |}{res}          1       0.26       0.26      62.76
{txt}        .4    {c |}{res}          1       0.26       0.26      63.02
{txt}        .5    {c |}{res}         91      23.64      23.70      86.72
{txt}        .67   {c |}{res}          5       1.30       1.30      88.02
{txt}        1     {c |}{res}         46      11.95      11.98     100.00
{txt}        Total {c |}{res}        384      99.74     100.00           
{txt}Missing .     {c |}{res}          1       0.26                      
{txt}Total         {c |}{res}        385     100.00                      
{txt}{hline 13}{hline 1}{c BT}{hline 44}

{com}.         
.         gen MQsample_check=0
{txt}
{com}.         replace MQsample_check=1 if men_prob<1 & men_prob>0 & hiv_prob_men!=men_prob
{txt}(127 real changes made)

{com}.         tab MQsampl*

           {txt}{c |}    MQsample_check
  MQsample {c |}         0          1 {c |}     Total
{hline 11}{c +}{hline 22}{c +}{hline 10}
         0 {c |}{res}       202          7 {txt}{c |}{res}       209 
{txt}         1 {c |}{res}        56        120 {txt}{c |}{res}       176 
{txt}{hline 11}{c +}{hline 22}{c +}{hline 10}
     Total {c |}{res}       258        127 {txt}{c |}{res}       385 

{txt}
{com}.         
.         gen HIVsample = 0
{txt}
{com}.         replace HIVsample = 1 if hiv_prob_men<1 & hiv_prob_men>0
{txt}(59 real changes made)

{com}.         
.         keep country year women_lower men_lower women_upper men_upper MQsample BMsample HIVsample men_prob
{txt}
{com}.         
.         keep if MQsample == 1 | BMsample == 1
{txt}(195 observations deleted)

{com}. 
.         tostring year, replace
{txt}year was {res:int} now {res:str4}

{com}.         order country year, first
{txt}
{com}.                 
.         * Checking the number of surveys
. 
.         duplicates drop

{p 0 4}{txt}Duplicates in terms of {txt} all variables{p_end}

(0 observations are duplicates)

{com}.         duplicates tag country year, gen(dup)

{p 0 4}{txt}Duplicates in terms of {res} country year{p_end}
{txt}
{com}.         
.         count
  {res}190
{txt}
{com}.         
.         tempfile info
{txt}
{com}.         sa "`info'"
{txt}file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.000004 saved

{com}.         
.         restore
{txt}
{com}.         
.         merge m:1 country year using "`info'"
{res}
{txt}{col 5}Result{col 38}# of obs.
{col 5}{hline 41}
{col 5}not matched{col 30}{res}           1,244
{txt}{col 9}from master{col 30}{res}           1,243{txt}  (_merge==1)
{col 9}from using{col 30}{res}               1{txt}  (_merge==2)

{col 5}matched{col 30}{res}           1,428{txt}  (_merge==3)
{col 5}{hline 41}

{com}.         
.         drop if _merge == 2
{txt}(1 observation deleted)

{com}. 
.         ren _merge merge1
{res}{txt}
{com}.         
.         * n_women_sample
.         
.         preserve
{txt}
{com}.         
.         use "${c -(}comploc{c )-}dhs_census_pairs.dta", clear
{txt}
{com}.         
.         keep country year_dhs n_women_sample
{txt}
{com}. 
.         drop if n_women_sample == 0
{txt}(29 observations deleted)

{com}. 
.         ren year_dhs year
{res}{txt}
{com}.         tostring year, replace
{txt}year was {res:int} now {res:str4}

{com}.         
.         duplicates drop

{p 0 4}{txt}Duplicates in terms of {txt} all variables{p_end}

(0 observations are duplicates)

{com}.         
.         tempfile pairs
{txt}
{com}.         sa "`pairs'"
{txt}file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.000006 saved

{com}.         
.         restore
{txt}
{com}.         
.         merge m:1 country year using "`pairs'"
{res}
{txt}{col 5}Result{col 38}# of obs.
{col 5}{hline 41}
{col 5}not matched{col 30}{res}           2,223
{txt}{col 9}from master{col 30}{res}           2,223{txt}  (_merge==1)
{col 9}from using{col 30}{res}               0{txt}  (_merge==2)

{col 5}matched{col 30}{res}             448{txt}  (_merge==3)
{col 5}{hline 41}

{com}.         
.         drop _merge
{txt}
{com}.         
.         * Eligible
.         
.         preserve
{txt}
{com}.         
.         use "${c -(}comploc{c )-}census_dhs_pairs.dta", clear
{txt}
{com}.         
.         keep country year_dhs women_lower men_lower women_upper men_upper eligible
{txt}
{com}.         
.         foreach var in women_lower men_lower women_upper men_upper eligible {c -(}
{txt}  2{com}.         
.                 ren `var' `var'_p
{txt}  3{com}.                 
.                 {c )-}
{res}{txt}
{com}.         
.         drop if eligible == 0
{txt}(62 observations deleted)

{com}. 
.         ren year_dhs year
{res}{txt}
{com}.         tostring year, replace
{txt}year was {res:int} now {res:str4}

{com}.         
.         duplicates drop

{p 0 4}{txt}Duplicates in terms of {txt} all variables{p_end}

(0 observations are duplicates)

{com}.         drop if country == "BGD" & women_lower_p == "13"
{txt}(0 observations deleted)

{com}. 
.         tempfile pairs
{txt}
{com}.         sa "`pairs'"
{txt}file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.000008 saved

{com}.         
.         restore
{txt}
{com}.         
.         merge m:1 country year using "`pairs'"
{res}
{txt}{col 5}Result{col 38}# of obs.
{col 5}{hline 41}
{col 5}not matched{col 30}{res}           2,497
{txt}{col 9}from master{col 30}{res}           2,497{txt}  (_merge==1)
{col 9}from using{col 30}{res}               0{txt}  (_merge==2)

{col 5}matched{col 30}{res}             174{txt}  (_merge==3)
{col 5}{hline 41}

{com}. 
.         drop if _merge == 2
{txt}(0 observations deleted)

{com}. 
.         gen test = 0
{txt}
{com}.         replace test = 1 if MQsample == 1
{txt}(1,349 real changes made)

{com}.         drop if test == 0
{txt}(1,322 observations deleted)

{com}.         
.         keep country year
{txt}
{com}.         duplicates drop

{p 0 4}{txt}Duplicates in terms of {txt} all variables{p_end}

(1,173 observations deleted)

{com}.         
.         gen level = country + "_DHS_" + year + "_clean.dta"
{txt}
{com}. 
.         levelsof level
{txt}`"AFG_DHS_2015_clean.dta"' `"AGO_DHS_2015_clean.dta"' `"ALB_DHS_2008_clean.dta"' `"ALB_DHS_2017_clean.dta"' `"ARM_DHS_2000_clean.dta"' `"ARM_DHS_2005_clean.dta"' `"ARM_DHS_2010_clean.dta"' `"ARM_DHS_2015_clean.dta"' `"AZE_DHS_2006_clean.dta"' `"BDI_DHS_2010_clean.dta"' `"BDI_DHS_2016_clean.dta"' `"BEN_DHS_1996_clean.dta"' `"BEN_DHS_2001_clean.dta"' `"BEN_DHS_2006_clean.dta"' `"BEN_DHS_2011_clean.dta"' `"BEN_DHS_2017_clean.dta"' `"BFA_DHS_1993_clean.dta"' `"BFA_DHS_1998_clean.dta"' `"BFA_DHS_2003_clean.dta"' `"BFA_DHS_2010_clean.dta"' `"BFA_DHS_2021_clean.dta"' `"BGD_DHS_1996_clean.dta"' `"BGD_DHS_1999_clean.dta"' `"BGD_DHS_2004_clean.dta"' `"BGD_DHS_2007_clean.dta"' `"BGD_DHS_2011_clean.dta"' `"BOL_DHS_1998_clean.dta"' `"BOL_DHS_2003_clean.dta"' `"BOL_DHS_2008_clean.dta"' `"BRA_DHS_1996_clean.dta"' `"CAF_DHS_1994_clean.dta"' `"CIV_DHS_1994_clean.dta"' `"CIV_DHS_1998_clean.dta"' `"CIV_DHS_2011_clean.dta"' `"CIV_DHS_2021_clean.dta"' `"CMR_DHS_1998_clean.dta"' `"CMR_DHS_2004_clean.dta"' `"CMR_DHS_2011_clean.dta"' `"CMR_DHS_2018_clean.dta"' `"COD_DHS_2007_clean.dta"' `"COD_DHS_2013_clean.dta"' `"COG_DHS_2005_clean.dta"' `"COG_DHS_2011_clean.dta"' `"COM_DHS_1996_clean.dta"' `"COM_DHS_2012_clean.dta"' `"DOM_DHS_2002_clean.dta"' `"ETH_DHS_2000_clean.dta"' `"ETH_DHS_2005_clean.dta"' `"GAB_DHS_2000_clean.dta"' `"GAB_DHS_2012_clean.dta"' `"GAB_DHS_2019_clean.dta"' `"GHA_DHS_1993_clean.dta"' `"GHA_DHS_1998_clean.dta"' `"GHA_DHS_2008_clean.dta"' `"GHA_DHS_2014_clean.dta"' `"GIN_DHS_1999_clean.dta"' `"GIN_DHS_2005_clean.dta"' `"GIN_DHS_2012_clean.dta"' `"GIN_DHS_2018_clean.dta"' `"GMB_DHS_2013_clean.dta"' `"GMB_DHS_2019_clean.dta"' `"GTM_DHS_2014_clean.dta"' `"HND_DHS_2011_clean.dta"' `"HTI_DHS_1994_clean.dta"' `"HTI_DHS_2000_clean.dta"' `"HTI_DHS_2005_clean.dta"' `"HTI_DHS_2012_clean.dta"' `"IDN_DHS_2002_clean.dta"' `"IDN_DHS_2007_clean.dta"' `"IDN_DHS_2012_clean.dta"' `"IDN_DHS_2017_clean.dta"' `"IND_DHS_2005_clean.dta"' `"IND_DHS_2015_clean.dta"' `"IND_DHS_2019_clean.dta"' `"JOR_DHS_2017_clean.dta"' `"KAZ_DHS_1999_clean.dta"' `"KEN_DHS_1993_clean.dta"' `"KEN_DHS_1998_clean.dta"' `"KEN_DHS_2003_clean.dta"' `"KEN_DHS_2008_clean.dta"' `"KEN_DHS_2014_clean.dta"' `"KEN_DHS_2022_clean.dta"' `"KGZ_DHS_2012_clean.dta"' `"KHM_DHS_2005_clean.dta"' `"KHM_DHS_2010_clean.dta"' `"KHM_DHS_2014_clean.dta"' `"KHM_DHS_2021_clean.dta"' `"LBR_DHS_2013_clean.dta"' `"LBR_DHS_2019_clean.dta"' `"LSO_DHS_2004_clean.dta"' `"LSO_DHS_2009_clean.dta"' `"LSO_DHS_2014_clean.dta"' `"MAR_DHS_1992_clean.dta"' `"MDA_DHS_2005_clean.dta"' `"MDG_DHS_2003_clean.dta"' `"MDG_DHS_2008_clean.dta"' `"MDG_DHS_2021_clean.dta"' `"MDV_DHS_2009_clean.dta"' `"MLI_DHS_1995_clean.dta"' `"MLI_DHS_2001_clean.dta"' `"MLI_DHS_2006_clean.dta"' `"MLI_DHS_2012_clean.dta"' `"MLI_DHS_2018_clean.dta"' `"MMR_DHS_2015_clean.dta"' `"MOZ_DHS_1997_clean.dta"' `"MOZ_DHS_2003_clean.dta"' `"MOZ_DHS_2011_clean.dta"' `"MRT_DHS_2019_clean.dta"' `"MWI_DHS_1992_clean.dta"' `"MWI_DHS_2000_clean.dta"' `"MWI_DHS_2004_clean.dta"' `"MWI_DHS_2010_clean.dta"' `"MWI_DHS_2015_clean.dta"' `"NAM_DHS_2000_clean.dta"' `"NAM_DHS_2006_clean.dta"' `"NAM_DHS_2013_clean.dta"' `"NER_DHS_1998_clean.dta"' `"NER_DHS_2006_clean.dta"' `"NER_DHS_2012_clean.dta"' `"NGA_DHS_2003_clean.dta"' `"NGA_DHS_2008_clean.dta"' `"NGA_DHS_2013_clean.dta"' `"NGA_DHS_2018_clean.dta"' `"NIC_DHS_1998_clean.dta"' `"NPL_DHS_2001_clean.dta"' `"NPL_DHS_2006_clean.dta"' `"NPL_DHS_2011_clean.dta"' `"NPL_DHS_2016_clean.dta"' `"NPL_DHS_2022_clean.dta"' `"PAK_DHS_2012_clean.dta"' `"PAK_DHS_2017_clean.dta"' `"PER_DHS_1996_clean.dta"' `"PHL_DHS_2003_clean.dta"' `"PNG_DHS_2016_clean.dta"' `"RWA_DHS_2000_clean.dta"' `"RWA_DHS_2005_clean.dta"' `"RWA_DHS_2010_clean.dta"' `"RWA_DHS_2014_clean.dta"' `"RWA_DHS_2019_clean.dta"' `"SEN_DHS_1992_clean.dta"' `"SEN_DHS_2005_clean.dta"' `"SEN_DHS_2010_clean.dta"' `"SEN_DHS_2014_clean.dta"' `"SEN_DHS_2015_clean.dta"' `"SEN_DHS_2016_clean.dta"' `"SEN_DHS_2017_clean.dta"' `"SEN_DHS_2018_clean.dta"' `"SEN_DHS_2019_clean.dta"' `"SLE_DHS_2008_clean.dta"' `"SLE_DHS_2013_clean.dta"' `"SLE_DHS_2019_clean.dta"' `"TCD_DHS_1996_clean.dta"' `"TCD_DHS_2004_clean.dta"' `"TCD_DHS_2014_clean.dta"' `"TGO_DHS_1998_clean.dta"' `"TGO_DHS_2013_clean.dta"' `"TLS_DHS_2009_clean.dta"' `"TLS_DHS_2016_clean.dta"' `"TZA_DHS_1991_clean.dta"' `"TZA_DHS_1996_clean.dta"' `"TZA_DHS_2004_clean.dta"' `"TZA_DHS_2010_clean.dta"' `"TZA_DHS_2015_clean.dta"' `"TZA_DHS_2022_clean.dta"' `"UGA_DHS_1995_clean.dta"' `"UGA_DHS_2000_clean.dta"' `"UGA_DHS_2006_clean.dta"' `"UGA_DHS_2011_clean.dta"' `"UGA_DHS_2016_clean.dta"' `"UKR_DHS_2007_clean.dta"' `"UZB_DHS_2002_clean.dta"' `"ZAF_DHS_2016_clean.dta"' `"ZMB_DHS_1996_clean.dta"' `"ZMB_DHS_2001_clean.dta"' `"ZWE_DHS_1994_clean.dta"' `"ZWE_DHS_1999_clean.dta"'

{com}. 
.         local lvlfiles `r(levels)'
{txt}
{com}.         
.         local z = 0
{txt}
{com}.         local z2 = 0
{txt}
{com}.         
.         foreach lvl of local lvlfiles {c -(}
{txt}  2{com}.         
.                 local temp : subinstr local lvl `"""' "", all
{txt}  3{com}.                 local lvl: subinstr local temp "'" "", all
{txt}  4{com}.                 
.                 use "$cleanloc/`lvl'", clear
{txt}  5{com}.         
.                 * We work on the supervisor and time
.                 
.                 qui fre supervisor_id
{txt}  6{com}.                 
.                 if `r(r_valid)' != 0 {c -(}
{txt}  7{com}.                 
.                         qui fre start_time_hha 
{txt}  8{com}.                         
.                                 if `r(r_valid)' != 0 {c -(}
{txt}  9{com}.                         
.                                         qui local z = `z' + 1
{txt} 10{com}.                                 
.                                         qui keep id01_cluster supervisor_id start_time_hha
{txt} 11{com}.                                         qui duplicates drop
{txt} 12{com}.                                         qui duplicates tag supervisor_id start_time_hha, gen(tag)
{txt} 13{com}.                                         qui keep supervisor_id tag
{txt} 14{com}.                                         qui duplicates drop
{txt} 15{com}.                                         qui byso supervisor_id: egen num_cluster_sametime = max(tag)
{txt} 16{com}.                                         qui keep supervisor_id num_cluster_sametime
{txt} 17{com}.                                         qui duplicates drop
{txt} 18{com}.                                         
.                                         gen file = "`lvl'"
{txt} 19{com}.                                         order file, first
{txt} 20{com}.                                         
.                                         tempfile data`z'
{txt} 21{com}.                                         sa "`data`z''"
{txt} 22{com}.                                         
.                                         {c )-}
{txt} 23{com}.                                         
.                                         {c )-}
{txt} 24{com}.                                         
.                 * We work on the enumerator
.                 
.                 use "$cleanloc/`lvl'", clear
{txt} 25{com}.                 
.                 cap gen enum_id_mn = .
{txt} 26{com}.                 cap gen enum_id_wm = .
{txt} 27{com}.                 
.                 keep id01_cluster supervisor_id enumerator_hha enum_id_mn enum_id_wm start_time_hha
{txt} 28{com}.                 
.                 replace enumerator_hha = enum_id_mn if !missing(enum_id_mn) & missing(enumerator_hha)
{txt} 29{com}.                 replace enumerator_hha = enum_id_wm if !missing(enum_id_wm) & missing(enumerator_hha)
{txt} 30{com}.                 
.                 qui fre supervisor_id
{txt} 31{com}.                 
.                 
.                 if `r(r_valid)' != 0 {c -(}
{txt} 32{com}.                 
.                         qui fre start_time_hha 
{txt} 33{com}.                         
.                                 if `r(r_valid)' != 0 {c -(}
{txt} 34{com}.                 
.                                         qui fre enumerator_hha
{txt} 35{com}.                                                 
.                                                 if `r(r_valid)' != 0 {c -(}
{txt} 36{com}.                                                 
.                                                         local z2 = `z2' + 1
{txt} 37{com}.                                                 
.                                                         qui byso id01_cluster supervisor_id enumerator_hha: egen last_day_enum = max(start_time_hha)
{txt} 38{com}.                                                         qui byso id01_cluster supervisor_id: egen last_day_team = max(start_time_hha)
{txt} 39{com}.                                                         
.                                                         qui gen diff = last_day_team - last_day_enum
{txt} 40{com}.                                                         
.                                                         qui gen fired_1day = (diff >= 2)
{txt} 41{com}.                                                         qui replace fired_1day = . if missing(diff)
{txt} 42{com}.                                                         
.                                                         qui gen fired_2days = (diff >= 3)
{txt} 43{com}.                                                         qui replace fired_2days = . if missing(diff)
{txt} 44{com}.                                                         
.                                                         qui gen fired_3days = (diff >= 4)
{txt} 45{com}.                                                         qui replace fired_3days = . if missing(diff)
{txt} 46{com}.                                                         
.                                                         qui keep enumerator_hha start_time_hha fired_1day fired_2days fired_3days
{txt} 47{com}.                                                         qui duplicates drop
{txt} 48{com}.                                                         
.                                                         qui byso enumerator_hha: egen maxtime = max(start_time_hha)
{txt} 49{com}.                                                         qui keep if maxtime == start_time_hha
{txt} 50{com}.                                                         drop maxtime start_time_hha
{txt} 51{com}.                                                         
.                                                         qui ren fired_1day temp
{txt} 52{com}.                                                         qui byso enumerator_hha: egen fired_1day = max(temp)
{txt} 53{com}.                                                         qui drop temp
{txt} 54{com}.                                                         
.                                                         qui ren fired_2days temp
{txt} 55{com}.                                                         qui byso enumerator_hha: egen fired_2days = max(temp)
{txt} 56{com}.                                                         qui drop temp
{txt} 57{com}.                                                         
.                                                         qui ren fired_3days temp
{txt} 58{com}.                                                         qui byso enumerator_hha: egen fired_3days = max(temp)
{txt} 59{com}.                                                         qui drop temp
{txt} 60{com}.                                                         
.                                                         duplicates drop
{txt} 61{com}.                                                         
.                                                         qui sum fired_1day
{txt} 62{com}.                                                         qui gen pct_fired_1day = `r(mean)'
{txt} 63{com}.                                                         
.                                                         qui sum fired_2days
{txt} 64{com}.                                                         qui gen pct_fired_2days = `r(mean)'
{txt} 65{com}.                                                         
.                                                         qui sum fired_3days
{txt} 66{com}.                                                         qui gen pct_fired_3days = `r(mean)'
{txt} 67{com}.                                                         
.                                                         gen file = "`lvl'"
{txt} 68{com}.                                                         order file, first
{txt} 69{com}.                                                         
.                                                         tempfile sdata`z'
{txt} 70{com}.                                                         sa "`sdata`z''"
{txt} 71{com}.                                         
.                                                         {c )-}
{txt} 72{com}.                                                         
.                                                 {c )-}
{txt} 73{com}.                                         
.                                         {c )-}
{txt} 74{com}.                         
.                                 {c )-}
{txt}(0 real changes made)
(0 real changes made)
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.000009 saved
(0 real changes made)
(0 real changes made)

{p 0 4}{txt}Duplicates in terms of {txt} all variables{p_end}

(0 observations are duplicates)
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.00000a saved
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.00000b saved
(0 real changes made)
(0 real changes made)

{p 0 4}{txt}Duplicates in terms of {txt} all variables{p_end}

(2 observations deleted)
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.00000c saved
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.00000d saved
(0 real changes made)
(0 real changes made)

{p 0 4}{txt}Duplicates in terms of {txt} all variables{p_end}

(1 observation deleted)
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.00000e saved
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.00000f saved
(0 real changes made)
(0 real changes made)

{p 0 4}{txt}Duplicates in terms of {txt} all variables{p_end}

(1 observation deleted)
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.00000g saved
(0 real changes made)
(0 real changes made)
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.00000h saved
(0 real changes made)
(0 real changes made)

{p 0 4}{txt}Duplicates in terms of {txt} all variables{p_end}

(0 observations are duplicates)
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.00000i saved
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.00000j saved
(0 real changes made)
(0 real changes made)

{p 0 4}{txt}Duplicates in terms of {txt} all variables{p_end}

(0 observations are duplicates)
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.00000k saved
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.00000l saved
(0 real changes made)
(0 real changes made)

{p 0 4}{txt}Duplicates in terms of {txt} all variables{p_end}

(0 observations are duplicates)
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.00000m saved
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.00000n saved
(0 real changes made)
(0 real changes made)

{p 0 4}{txt}Duplicates in terms of {txt} all variables{p_end}

(2 observations deleted)
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.00000o saved
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.00000p saved
(0 real changes made)
(0 real changes made)

{p 0 4}{txt}Duplicates in terms of {txt} all variables{p_end}

(0 observations are duplicates)
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.00000q saved
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.00000r saved
(0 real changes made)
(0 real changes made)

{p 0 4}{txt}Duplicates in terms of {txt} all variables{p_end}

(0 observations are duplicates)
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.00000s saved
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.00000t saved
(0 real changes made)
(0 real changes made)

{p 0 4}{txt}Duplicates in terms of {txt} all variables{p_end}

(0 observations are duplicates)
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.00000u saved
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.00000v saved
(0 real changes made)
(0 real changes made)

{p 0 4}{txt}Duplicates in terms of {txt} all variables{p_end}

(3 observations deleted)
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.00000w saved
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.00000x saved
(0 real changes made)
(0 real changes made)

{p 0 4}{txt}Duplicates in terms of {txt} all variables{p_end}

(8 observations deleted)
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.000010 saved
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.000011 saved
(0 real changes made)
(0 real changes made)

{p 0 4}{txt}Duplicates in terms of {txt} all variables{p_end}

(0 observations are duplicates)
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.000012 saved
(0 real changes made)
(0 real changes made)
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.000013 saved
(0 real changes made)
(0 real changes made)

{p 0 4}{txt}Duplicates in terms of {txt} all variables{p_end}

(0 observations are duplicates)
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.000014 saved
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.000015 saved
(0 real changes made)
(0 real changes made)

{p 0 4}{txt}Duplicates in terms of {txt} all variables{p_end}

(0 observations are duplicates)
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.000016 saved
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.000017 saved
(0 real changes made)
(0 real changes made)

{p 0 4}{txt}Duplicates in terms of {txt} all variables{p_end}

(0 observations are duplicates)
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.000018 saved
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.000019 saved
(0 real changes made)
(0 real changes made)

{p 0 4}{txt}Duplicates in terms of {txt} all variables{p_end}

(1 observation deleted)
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.00001a saved
(4 real changes made)
(0 real changes made)
(0 real changes made)
(0 real changes made)
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.00001b saved
(0 real changes made)
(0 real changes made)

{p 0 4}{txt}Duplicates in terms of {txt} all variables{p_end}

(0 observations are duplicates)
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.00001c saved
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.00001d saved
(0 real changes made)
(0 real changes made)

{p 0 4}{txt}Duplicates in terms of {txt} all variables{p_end}

(0 observations are duplicates)
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.00001e saved
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.00001f saved
(0 real changes made)
(0 real changes made)

{p 0 4}{txt}Duplicates in terms of {txt} all variables{p_end}

(0 observations are duplicates)
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.00001g saved
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.00001h saved
(0 real changes made)
(0 real changes made)

{p 0 4}{txt}Duplicates in terms of {txt} all variables{p_end}

(0 observations are duplicates)
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.00001i saved
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.00001j saved
(0 real changes made)
(0 real changes made)

{p 0 4}{txt}Duplicates in terms of {txt} all variables{p_end}

(1 observation deleted)
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.00001k saved
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.00001l saved
(0 real changes made)
(0 real changes made)

{p 0 4}{txt}Duplicates in terms of {txt} all variables{p_end}

(5 observations deleted)
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.00001m saved
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.00001n saved
(0 real changes made)
(0 real changes made)

{p 0 4}{txt}Duplicates in terms of {txt} all variables{p_end}

(0 observations are duplicates)
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.00001o saved
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.00001p saved
(0 real changes made)
(0 real changes made)

{p 0 4}{txt}Duplicates in terms of {txt} all variables{p_end}

(0 observations are duplicates)
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.00001q saved
(0 real changes made)
(0 real changes made)
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.00001r saved
(0 real changes made)
(0 real changes made)

{p 0 4}{txt}Duplicates in terms of {txt} all variables{p_end}

(0 observations are duplicates)
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.00001s saved
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.00001t saved
(0 real changes made)
(0 real changes made)

{p 0 4}{txt}Duplicates in terms of {txt} all variables{p_end}

(0 observations are duplicates)
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.00001u saved
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.00001v saved
(0 real changes made)
(0 real changes made)

{p 0 4}{txt}Duplicates in terms of {txt} all variables{p_end}

(0 observations are duplicates)
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.00001w saved
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.00001x saved
(3 real changes made)
(2 real changes made)

{p 0 4}{txt}Duplicates in terms of {txt} all variables{p_end}

(0 observations are duplicates)
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.000020 saved
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.000021 saved
(0 real changes made)
(0 real changes made)

{p 0 4}{txt}Duplicates in terms of {txt} all variables{p_end}

(1 observation deleted)
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.000022 saved
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.000023 saved
(1 real change made)
(1 real change made)

{p 0 4}{txt}Duplicates in terms of {txt} all variables{p_end}

(0 observations are duplicates)
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.000024 saved
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.000025 saved
(0 real changes made)
(0 real changes made)

{p 0 4}{txt}Duplicates in terms of {txt} all variables{p_end}

(2 observations deleted)
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.000026 saved
(0 real changes made)
(0 real changes made)
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.000027 saved
(0 real changes made)
(0 real changes made)

{p 0 4}{txt}Duplicates in terms of {txt} all variables{p_end}

(2 observations deleted)
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.000028 saved
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.000029 saved
(0 real changes made)
(0 real changes made)

{p 0 4}{txt}Duplicates in terms of {txt} all variables{p_end}

(1 observation deleted)
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.00002a saved
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.00002b saved
(0 real changes made)
(0 real changes made)

{p 0 4}{txt}Duplicates in terms of {txt} all variables{p_end}

(0 observations are duplicates)
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.00002c saved
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.00002d saved
(0 real changes made)
(0 real changes made)

{p 0 4}{txt}Duplicates in terms of {txt} all variables{p_end}

(0 observations are duplicates)
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.00002e saved
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.00002f saved
(0 real changes made)
(0 real changes made)

{p 0 4}{txt}Duplicates in terms of {txt} all variables{p_end}

(0 observations are duplicates)
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.00002g saved
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.00002h saved
(0 real changes made)
(0 real changes made)

{p 0 4}{txt}Duplicates in terms of {txt} all variables{p_end}

(2 observations deleted)
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.00002i saved
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.00002j saved
(0 real changes made)
(0 real changes made)

{p 0 4}{txt}Duplicates in terms of {txt} all variables{p_end}

(0 observations are duplicates)
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.00002k saved
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.00002l saved
(0 real changes made)
(0 real changes made)

{p 0 4}{txt}Duplicates in terms of {txt} all variables{p_end}

(2 observations deleted)
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.00002m saved
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.00002n saved
(0 real changes made)
(3 real changes made)

{p 0 4}{txt}Duplicates in terms of {txt} all variables{p_end}

(0 observations are duplicates)
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.00002o saved
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.00002p saved
(0 real changes made)
(0 real changes made)

{p 0 4}{txt}Duplicates in terms of {txt} all variables{p_end}

(0 observations are duplicates)
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.00002q saved
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.00002r saved
(0 real changes made)
(0 real changes made)

{p 0 4}{txt}Duplicates in terms of {txt} all variables{p_end}

(0 observations are duplicates)
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.00002s saved
(0 real changes made)
(0 real changes made)
(0 real changes made)
(0 real changes made)
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.00002t saved
(0 real changes made)
(0 real changes made)

{p 0 4}{txt}Duplicates in terms of {txt} all variables{p_end}

(0 observations are duplicates)
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.00002u saved
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.00002v saved
(0 real changes made)
(0 real changes made)

{p 0 4}{txt}Duplicates in terms of {txt} all variables{p_end}

(0 observations are duplicates)
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.00002w saved
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.00002x saved
(0 real changes made)
(0 real changes made)

{p 0 4}{txt}Duplicates in terms of {txt} all variables{p_end}

(1 observation deleted)
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.000030 saved
(0 real changes made)
(0 real changes made)
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.000031 saved
(0 real changes made)
(0 real changes made)

{p 0 4}{txt}Duplicates in terms of {txt} all variables{p_end}

(0 observations are duplicates)
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.000032 saved
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.000033 saved
(0 real changes made)
(0 real changes made)

{p 0 4}{txt}Duplicates in terms of {txt} all variables{p_end}

(0 observations are duplicates)
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.000034 saved
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.000035 saved
(0 real changes made)
(0 real changes made)

{p 0 4}{txt}Duplicates in terms of {txt} all variables{p_end}

(0 observations are duplicates)
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.000036 saved
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.000037 saved
(0 real changes made)
(0 real changes made)

{p 0 4}{txt}Duplicates in terms of {txt} all variables{p_end}

(0 observations are duplicates)
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.000038 saved
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.000039 saved
(0 real changes made)
(0 real changes made)

{p 0 4}{txt}Duplicates in terms of {txt} all variables{p_end}

(1 observation deleted)
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.00003a saved
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.00003b saved
(0 real changes made)
(0 real changes made)

{p 0 4}{txt}Duplicates in terms of {txt} all variables{p_end}

(0 observations are duplicates)
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.00003c saved
(0 real changes made)
(0 real changes made)
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.00003d saved
(0 real changes made)
(0 real changes made)

{p 0 4}{txt}Duplicates in terms of {txt} all variables{p_end}

(1 observation deleted)
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.00003e saved
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.00003f saved
(0 real changes made)
(0 real changes made)

{p 0 4}{txt}Duplicates in terms of {txt} all variables{p_end}

(3 observations deleted)
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.00003g saved
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.00003h saved
(0 real changes made)
(0 real changes made)

{p 0 4}{txt}Duplicates in terms of {txt} all variables{p_end}

(0 observations are duplicates)
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.00003i saved
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.00003j saved
(0 real changes made)
(0 real changes made)

{p 0 4}{txt}Duplicates in terms of {txt} all variables{p_end}

(0 observations are duplicates)
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.00003k saved
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.00003l saved
(0 real changes made)
(0 real changes made)

{p 0 4}{txt}Duplicates in terms of {txt} all variables{p_end}

(0 observations are duplicates)
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.00003m saved
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.00003n saved
(0 real changes made)
(0 real changes made)

{p 0 4}{txt}Duplicates in terms of {txt} all variables{p_end}

(0 observations are duplicates)
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.00003o saved
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.00003p saved
(0 real changes made)
(0 real changes made)

{p 0 4}{txt}Duplicates in terms of {txt} all variables{p_end}

(3 observations deleted)
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.00003q saved
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.00003r saved
(0 real changes made)
(0 real changes made)

{p 0 4}{txt}Duplicates in terms of {txt} all variables{p_end}

(0 observations are duplicates)
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.00003s saved
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.00003t saved
(0 real changes made)
(0 real changes made)

{p 0 4}{txt}Duplicates in terms of {txt} all variables{p_end}

(2 observations deleted)
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.00003u saved
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.00003v saved
(1,108 real changes made)
(1,322 real changes made)

{p 0 4}{txt}Duplicates in terms of {txt} all variables{p_end}

(6 observations deleted)
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.00003w saved
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.00003x saved
(0 real changes made)
(0 real changes made)

{p 0 4}{txt}Duplicates in terms of {txt} all variables{p_end}

(6 observations deleted)
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.000040 saved
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.000041 saved
(0 real changes made)
(0 real changes made)

{p 0 4}{txt}Duplicates in terms of {txt} all variables{p_end}

(1 observation deleted)
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.000042 saved
(0 real changes made)
(0 real changes made)
(0 real changes made)
(0 real changes made)
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.000043 saved
(0 real changes made)
(0 real changes made)

{p 0 4}{txt}Duplicates in terms of {txt} all variables{p_end}

(1 observation deleted)
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.000044 saved
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.000045 saved
(0 real changes made)
(0 real changes made)

{p 0 4}{txt}Duplicates in terms of {txt} all variables{p_end}

(1 observation deleted)
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.000046 saved
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.000047 saved
(0 real changes made)
(0 real changes made)

{p 0 4}{txt}Duplicates in terms of {txt} all variables{p_end}

(3 observations deleted)
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.000048 saved
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.000049 saved
(0 real changes made)
(0 real changes made)

{p 0 4}{txt}Duplicates in terms of {txt} all variables{p_end}

(1 observation deleted)
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.00004a saved
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.00004b saved
(0 real changes made)
(0 real changes made)

{p 0 4}{txt}Duplicates in terms of {txt} all variables{p_end}

(0 observations are duplicates)
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.00004c saved
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.00004d saved
(0 real changes made)
(0 real changes made)

{p 0 4}{txt}Duplicates in terms of {txt} all variables{p_end}

(0 observations are duplicates)
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.00004e saved
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.00004f saved
(0 real changes made)
(0 real changes made)

{p 0 4}{txt}Duplicates in terms of {txt} all variables{p_end}

(0 observations are duplicates)
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.00004g saved
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.00004h saved
(0 real changes made)
(0 real changes made)

{p 0 4}{txt}Duplicates in terms of {txt} all variables{p_end}

(0 observations are duplicates)
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.00004i saved
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.00004j saved
(0 real changes made)
(0 real changes made)

{p 0 4}{txt}Duplicates in terms of {txt} all variables{p_end}

(0 observations are duplicates)
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.00004k saved
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.00004l saved
(0 real changes made)
(0 real changes made)

{p 0 4}{txt}Duplicates in terms of {txt} all variables{p_end}

(1 observation deleted)
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.00004m saved
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.00004n saved
(0 real changes made)
(0 real changes made)

{p 0 4}{txt}Duplicates in terms of {txt} all variables{p_end}

(0 observations are duplicates)
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.00004o saved
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.00004p saved
(0 real changes made)
(0 real changes made)

{p 0 4}{txt}Duplicates in terms of {txt} all variables{p_end}

(0 observations are duplicates)
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.00004q saved
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.00004r saved
(0 real changes made)
(0 real changes made)

{p 0 4}{txt}Duplicates in terms of {txt} all variables{p_end}

(0 observations are duplicates)
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.00004s saved
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.00004t saved
(0 real changes made)
(0 real changes made)

{p 0 4}{txt}Duplicates in terms of {txt} all variables{p_end}

(1 observation deleted)
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.00004u saved
(0 real changes made)
(0 real changes made)
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.00004v saved
(0 real changes made)
(0 real changes made)

{p 0 4}{txt}Duplicates in terms of {txt} all variables{p_end}

(0 observations are duplicates)
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.00004w saved
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.00004x saved
(0 real changes made)
(0 real changes made)

{p 0 4}{txt}Duplicates in terms of {txt} all variables{p_end}

(0 observations are duplicates)
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.000050 saved
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.000051 saved
(0 real changes made)
(0 real changes made)

{p 0 4}{txt}Duplicates in terms of {txt} all variables{p_end}

(0 observations are duplicates)
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.000052 saved
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.000053 saved
(0 real changes made)
(0 real changes made)

{p 0 4}{txt}Duplicates in terms of {txt} all variables{p_end}

(0 observations are duplicates)
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.000054 saved
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.000055 saved
(0 real changes made)
(0 real changes made)

{p 0 4}{txt}Duplicates in terms of {txt} all variables{p_end}

(1 observation deleted)
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.000056 saved
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.000057 saved
(0 real changes made)
(0 real changes made)

{p 0 4}{txt}Duplicates in terms of {txt} all variables{p_end}

(0 observations are duplicates)
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.000058 saved
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.000059 saved
(2 real changes made)
(6 real changes made)

{p 0 4}{txt}Duplicates in terms of {txt} all variables{p_end}

(0 observations are duplicates)
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.00005a saved
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.00005b saved
(4 real changes made)
(17 real changes made)

{p 0 4}{txt}Duplicates in terms of {txt} all variables{p_end}

(2 observations deleted)
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.00005c saved
(0 real changes made)
(0 real changes made)
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.00005d saved
(0 real changes made)
(0 real changes made)

{p 0 4}{txt}Duplicates in terms of {txt} all variables{p_end}

(0 observations are duplicates)
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.00005e saved
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.00005f saved
(2 real changes made)
(1 real change made)

{p 0 4}{txt}Duplicates in terms of {txt} all variables{p_end}

(2 observations deleted)
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.00005g saved
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.00005h saved
(0 real changes made)
(0 real changes made)

{p 0 4}{txt}Duplicates in terms of {txt} all variables{p_end}

(1 observation deleted)
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.00005i saved
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.00005j saved
(0 real changes made)
(0 real changes made)

{p 0 4}{txt}Duplicates in terms of {txt} all variables{p_end}

(0 observations are duplicates)
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.00005k saved
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.00005l saved
(0 real changes made)
(0 real changes made)

{p 0 4}{txt}Duplicates in terms of {txt} all variables{p_end}

(0 observations are duplicates)
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.00005m saved
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.00005n saved
(0 real changes made)
(0 real changes made)

{p 0 4}{txt}Duplicates in terms of {txt} all variables{p_end}

(0 observations are duplicates)
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.00005o saved
(0 real changes made)
(0 real changes made)
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.00005p saved
(0 real changes made)
(0 real changes made)

{p 0 4}{txt}Duplicates in terms of {txt} all variables{p_end}

(5 observations deleted)
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.00005q saved
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.00005r saved
(2 real changes made)
(1 real change made)

{p 0 4}{txt}Duplicates in terms of {txt} all variables{p_end}

(0 observations are duplicates)
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.00005s saved
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.00005t saved
(0 real changes made)
(0 real changes made)

{p 0 4}{txt}Duplicates in terms of {txt} all variables{p_end}

(0 observations are duplicates)
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.00005u saved
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.00005v saved
(0 real changes made)
(0 real changes made)

{p 0 4}{txt}Duplicates in terms of {txt} all variables{p_end}

(0 observations are duplicates)
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.00005w saved
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.00005x saved
(0 real changes made)
(0 real changes made)

{p 0 4}{txt}Duplicates in terms of {txt} all variables{p_end}

(1 observation deleted)
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.000060 saved
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.000061 saved
(0 real changes made)
(0 real changes made)

{p 0 4}{txt}Duplicates in terms of {txt} all variables{p_end}

(2 observations deleted)
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.000062 saved
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.000063 saved
(0 real changes made)
(0 real changes made)

{p 0 4}{txt}Duplicates in terms of {txt} all variables{p_end}

(3 observations deleted)
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.000064 saved
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.000065 saved
(0 real changes made)
(0 real changes made)

{p 0 4}{txt}Duplicates in terms of {txt} all variables{p_end}

(0 observations are duplicates)
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.000066 saved
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.000067 saved
(0 real changes made)
(0 real changes made)

{p 0 4}{txt}Duplicates in terms of {txt} all variables{p_end}

(0 observations are duplicates)
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.000068 saved
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.000069 saved
(0 real changes made)
(0 real changes made)

{p 0 4}{txt}Duplicates in terms of {txt} all variables{p_end}

(1 observation deleted)
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.00006a saved
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.00006b saved
(0 real changes made)
(0 real changes made)

{p 0 4}{txt}Duplicates in terms of {txt} all variables{p_end}

(0 observations are duplicates)
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.00006c saved
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.00006d saved
(8 real changes made)
(12 real changes made)

{p 0 4}{txt}Duplicates in terms of {txt} all variables{p_end}

(0 observations are duplicates)
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.00006e saved
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.00006f saved
(0 real changes made)
(0 real changes made)

{p 0 4}{txt}Duplicates in terms of {txt} all variables{p_end}

(1 observation deleted)
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.00006g saved
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.00006h saved
(0 real changes made)
(0 real changes made)

{p 0 4}{txt}Duplicates in terms of {txt} all variables{p_end}

(0 observations are duplicates)
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.00006i saved
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.00006j saved
(7 real changes made)
(21 real changes made)

{p 0 4}{txt}Duplicates in terms of {txt} all variables{p_end}

(0 observations are duplicates)
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.00006k saved
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.00006l saved
(0 real changes made)
(0 real changes made)

{p 0 4}{txt}Duplicates in terms of {txt} all variables{p_end}

(0 observations are duplicates)
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.00006m saved
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.00006n saved
(0 real changes made)
(0 real changes made)

{p 0 4}{txt}Duplicates in terms of {txt} all variables{p_end}

(0 observations are duplicates)
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.00006o saved
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.00006p saved
(0 real changes made)
(0 real changes made)

{p 0 4}{txt}Duplicates in terms of {txt} all variables{p_end}

(0 observations are duplicates)
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.00006q saved
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.00006r saved
(0 real changes made)
(0 real changes made)

{p 0 4}{txt}Duplicates in terms of {txt} all variables{p_end}

(0 observations are duplicates)
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.00006s saved
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.00006t saved
(0 real changes made)
(0 real changes made)

{p 0 4}{txt}Duplicates in terms of {txt} all variables{p_end}

(0 observations are duplicates)
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.00006u saved
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.00006v saved
(0 real changes made)
(0 real changes made)

{p 0 4}{txt}Duplicates in terms of {txt} all variables{p_end}

(0 observations are duplicates)
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.00006w saved
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.00006x saved
(0 real changes made)
(0 real changes made)

{p 0 4}{txt}Duplicates in terms of {txt} all variables{p_end}

(0 observations are duplicates)
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.000070 saved
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.000071 saved
(8 real changes made)
(7 real changes made)

{p 0 4}{txt}Duplicates in terms of {txt} all variables{p_end}

(0 observations are duplicates)
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.000072 saved
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.000073 saved
(1 real change made)
(2 real changes made)

{p 0 4}{txt}Duplicates in terms of {txt} all variables{p_end}

(0 observations are duplicates)
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.000074 saved
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.000075 saved
(61 real changes made)
(520 real changes made)

{p 0 4}{txt}Duplicates in terms of {txt} all variables{p_end}

(3 observations deleted)
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.000076 saved
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.000077 saved
(0 real changes made)
(0 real changes made)

{p 0 4}{txt}Duplicates in terms of {txt} all variables{p_end}

(1 observation deleted)
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.000078 saved
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.000079 saved
(0 real changes made)
(0 real changes made)

{p 0 4}{txt}Duplicates in terms of {txt} all variables{p_end}

(3 observations deleted)
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.00007a saved
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.00007b saved
(0 real changes made)
(0 real changes made)

{p 0 4}{txt}Duplicates in terms of {txt} all variables{p_end}

(1 observation deleted)
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.00007c saved
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.00007d saved
(0 real changes made)
(0 real changes made)

{p 0 4}{txt}Duplicates in terms of {txt} all variables{p_end}

(1 observation deleted)
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.00007e saved
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.00007f saved
(0 real changes made)
(0 real changes made)

{p 0 4}{txt}Duplicates in terms of {txt} all variables{p_end}

(0 observations are duplicates)
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.00007g saved
(0 real changes made)
(0 real changes made)
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.00007h saved
(0 real changes made)
(0 real changes made)

{p 0 4}{txt}Duplicates in terms of {txt} all variables{p_end}

(0 observations are duplicates)
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.00007i saved
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.00007j saved
(0 real changes made)
(0 real changes made)

{p 0 4}{txt}Duplicates in terms of {txt} all variables{p_end}

(0 observations are duplicates)
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.00007k saved
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.00007l saved
(0 real changes made)
(0 real changes made)

{p 0 4}{txt}Duplicates in terms of {txt} all variables{p_end}

(0 observations are duplicates)
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.00007m saved
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.00007n saved
(0 real changes made)
(0 real changes made)

{p 0 4}{txt}Duplicates in terms of {txt} all variables{p_end}

(0 observations are duplicates)
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.00007o saved
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.00007p saved
(0 real changes made)
(0 real changes made)

{p 0 4}{txt}Duplicates in terms of {txt} all variables{p_end}

(0 observations are duplicates)
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.00007q saved
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.00007r saved
(0 real changes made)
(0 real changes made)

{p 0 4}{txt}Duplicates in terms of {txt} all variables{p_end}

(0 observations are duplicates)
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.00007s saved
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.00007t saved
(0 real changes made)
(0 real changes made)

{p 0 4}{txt}Duplicates in terms of {txt} all variables{p_end}

(0 observations are duplicates)
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.00007u saved
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.00007v saved
(0 real changes made)
(0 real changes made)

{p 0 4}{txt}Duplicates in terms of {txt} all variables{p_end}

(0 observations are duplicates)
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.00007w saved
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.00007x saved
(0 real changes made)
(0 real changes made)

{p 0 4}{txt}Duplicates in terms of {txt} all variables{p_end}

(2 observations deleted)
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.000080 saved
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.000081 saved
(0 real changes made)
(0 real changes made)

{p 0 4}{txt}Duplicates in terms of {txt} all variables{p_end}

(0 observations are duplicates)
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.000082 saved
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.000083 saved
(0 real changes made)
(0 real changes made)

{p 0 4}{txt}Duplicates in terms of {txt} all variables{p_end}

(0 observations are duplicates)
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.000084 saved
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.000085 saved
(0 real changes made)
(0 real changes made)

{p 0 4}{txt}Duplicates in terms of {txt} all variables{p_end}

(0 observations are duplicates)
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.000086 saved
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.000087 saved
(0 real changes made)
(0 real changes made)

{p 0 4}{txt}Duplicates in terms of {txt} all variables{p_end}

(0 observations are duplicates)
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.000088 saved
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.000089 saved
(0 real changes made)
(0 real changes made)

{p 0 4}{txt}Duplicates in terms of {txt} all variables{p_end}

(0 observations are duplicates)
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.00008a saved
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.00008b saved
(0 real changes made)
(0 real changes made)

{p 0 4}{txt}Duplicates in terms of {txt} all variables{p_end}

(0 observations are duplicates)
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.00008c saved
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.00008d saved
(0 real changes made)
(0 real changes made)

{p 0 4}{txt}Duplicates in terms of {txt} all variables{p_end}

(0 observations are duplicates)
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.00008e saved
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.00008f saved
(0 real changes made)
(0 real changes made)

{p 0 4}{txt}Duplicates in terms of {txt} all variables{p_end}

(0 observations are duplicates)
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.00008g saved
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.00008h saved
(0 real changes made)
(0 real changes made)

{p 0 4}{txt}Duplicates in terms of {txt} all variables{p_end}

(0 observations are duplicates)
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.00008i saved
(0 real changes made)
(0 real changes made)
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.00008j saved
(0 real changes made)
(0 real changes made)

{p 0 4}{txt}Duplicates in terms of {txt} all variables{p_end}

(1 observation deleted)
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.00008k saved
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.00008l saved
(0 real changes made)
(0 real changes made)

{p 0 4}{txt}Duplicates in terms of {txt} all variables{p_end}

(0 observations are duplicates)
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.00008m saved
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.00008n saved
(0 real changes made)
(0 real changes made)

{p 0 4}{txt}Duplicates in terms of {txt} all variables{p_end}

(1 observation deleted)
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.00008o saved
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.00008p saved
(0 real changes made)
(0 real changes made)

{p 0 4}{txt}Duplicates in terms of {txt} all variables{p_end}

(0 observations are duplicates)
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.00008q saved
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.00008r saved
(0 real changes made)
(0 real changes made)

{p 0 4}{txt}Duplicates in terms of {txt} all variables{p_end}

(0 observations are duplicates)
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.00008s saved
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.00008t saved
(0 real changes made)
(0 real changes made)

{p 0 4}{txt}Duplicates in terms of {txt} all variables{p_end}

(0 observations are duplicates)
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.00008u saved
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.00008v saved
(0 real changes made)
(0 real changes made)

{p 0 4}{txt}Duplicates in terms of {txt} all variables{p_end}

(0 observations are duplicates)
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.00008w saved
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.00008x saved
(0 real changes made)
(0 real changes made)

{p 0 4}{txt}Duplicates in terms of {txt} all variables{p_end}

(0 observations are duplicates)
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.000090 saved
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.000091 saved
(0 real changes made)
(0 real changes made)

{p 0 4}{txt}Duplicates in terms of {txt} all variables{p_end}

(0 observations are duplicates)
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.000092 saved
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.000093 saved
(0 real changes made)
(0 real changes made)

{p 0 4}{txt}Duplicates in terms of {txt} all variables{p_end}

(1 observation deleted)
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.000094 saved
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.000095 saved
(0 real changes made)
(0 real changes made)

{p 0 4}{txt}Duplicates in terms of {txt} all variables{p_end}

(0 observations are duplicates)
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.000096 saved
(0 real changes made)
(0 real changes made)
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.000097 saved
(0 real changes made)
(0 real changes made)

{p 0 4}{txt}Duplicates in terms of {txt} all variables{p_end}

(1 observation deleted)
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.000098 saved
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.000099 saved
(0 real changes made)
(0 real changes made)

{p 0 4}{txt}Duplicates in terms of {txt} all variables{p_end}

(1 observation deleted)
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.00009a saved
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.00009b saved
(0 real changes made)
(0 real changes made)

{p 0 4}{txt}Duplicates in terms of {txt} all variables{p_end}

(0 observations are duplicates)
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.00009c saved
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.00009d saved
(0 real changes made)
(0 real changes made)

{p 0 4}{txt}Duplicates in terms of {txt} all variables{p_end}

(0 observations are duplicates)
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.00009e saved
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.00009f saved
(0 real changes made)
(0 real changes made)

{p 0 4}{txt}Duplicates in terms of {txt} all variables{p_end}

(2 observations deleted)
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.00009g saved

{com}.                         
.                 use "`data1'", clear
{txt}
{com}.                 
.                 forvalues x = 2/`z' {c -(}
{txt}  2{com}.                 
.                         append using "`data`x''"
{txt}  3{com}.                         
.                         {c )-}
{txt}
{com}.                         
.                 export excel using "$comploc/supervisor_data.xlsx", sheet("by_cluster") sheetmod first(var)
{res}{txt}file /Users/fredericcochinard/Dropbox/Age bunching/Data/compiled//supervisor_data.xlsx saved

{com}.                 
.                 use "`sdata1'", clear
{txt}
{com}.                 
.                 forvalues x = 2/`z2' {c -(}
{txt}  2{com}.                 
.                         append using "`sdata`x''"
{txt}  3{com}.                         
.                         {c )-}
{txt}
{com}.                         
.                 export excel using "$comploc/supervisor_data.xlsx", sheet("fired_ratio") sheetmod first(var)
{res}{txt}file /Users/fredericcochinard/Dropbox/Age bunching/Data/compiled//supervisor_data.xlsx saved

{com}.                 
. 
{txt}end of do-file

{com}. do "/var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//SD44938.000000"
{txt}
{com}. 
.         
.         * Loop over DHS datasets
.         ********************************************************************************
. 
.         cap clear all
{txt}
{com}.         set scheme s1mono
{txt}
{com}. 
.         * Collecting the country and year of file
. 
.         filelist , dir("$rawloc") pat("*.DTA")
{res}{txt}Number of files found = {res}2392
{txt}
{com}.         
.         preserve
{txt}
{com}.         
.         filelist , dir("$rawloc") pat("*.dta")
{res}{txt}Number of files found = {res}2840
{txt}
{com}.         
.         * We drop special case from MOZ
.         
.         drop if regexm(filename,"MOZ_population_statistics")
{txt}(0 observations deleted)

{com}.         
.         tempfile file
{txt}
{com}.         sa "`file'"
{txt}file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.000002 saved

{com}.         
.         restore
{txt}
{com}.         
.         append using "`file'"
{txt}{p 0 7 2}
(note: variable
dirname was 
str101, now str258 to accommodate using data's values)
{p_end}
{p 0 7 2}
(note: variable
filename was 
str33, now str70 to accommodate using data's values)
{p_end}

{com}. 
.         * We only select the DHS
.         
.         gen kept = 0
{txt}
{com}.         replace kept = 1 if regexm(dirname,"DHS") | regexm(dirname,"MIS") | regexm(dirname,"KAP") | regexm(dirname,"AIS")
{txt}(2,695 real changes made)

{com}.         
.         keep if kept == 1
{txt}(2,537 observations deleted)

{com}.         drop if regexm(dirname,"_other_surveys")
{txt}(24 observations deleted)

{com}.         
.         split dirname, p("//")
{res}variables created as string: 
{txt}{col 1}dirname1{col 11}dirname2

{com}.         
.         keep dirname dirname2 filename
{txt}
{com}.         ren dirname2 temp
{res}{txt}
{com}.         split temp, p("/")
{res}variables created as string: 
{txt}{col 1}temp1{col 8}temp2{col 15}temp3{col 22}temp4{col 29}temp5{col 36}temp6{col 43}temp7{col 50}temp8

{com}.         
.         keep dirname filename temp1 temp2
{txt}
{com}.         ren temp1 country
{res}{txt}
{com}.         
.         replace temp2 = subinstr(temp2,"DHS_","",.)
{txt}(2,413 real changes made)

{com}.         replace temp2 = subinstr(temp2,"MIS_","",.)
{txt}(140 real changes made)

{com}.         replace temp2 = subinstr(temp2,"KAP_","",.)
{txt}(5 real changes made)

{com}.         replace temp2 = subinstr(temp2,"AIS_","",.)
{txt}(16 real changes made)

{com}.         ren temp2 temp
{res}{txt}
{com}.         split temp, p("-")
{res}variables created as string: 
{txt}{col 1}temp1{col 8}temp2

{com}.         drop temp temp2
{txt}
{com}.         ren temp1 year
{res}{txt}
{com}.         
.         * We load the excel information document
.         
.         preserve
{txt}
{com}.         
.         use "$comploc/survey_age_thresholds_dhs.dta", clear
{txt}
{com}.         
.         fre hiv_prob_men men_prob
{res}
{txt}hiv_prob_men
{txt}{hline 13}{hline 1}{c TT}{hline 44}
{txt}        {txt}      {c |}      Freq.    Percent      Valid       Cum.
{txt}{hline 13}{hline 1}{c +}{hline 44}
{txt}Valid   0     {c |}{res}        301      78.18      78.18      78.18
{txt}        .14   {c |}{res}          2       0.52       0.52      78.70
{txt}        .18   {c |}{res}          1       0.26       0.26      78.96
{txt}        .33   {c |}{res}         11       2.86       2.86      81.82
{txt}        .38   {c |}{res}          1       0.26       0.26      82.08
{txt}        .5    {c |}{res}         40      10.39      10.39      92.47
{txt}        .67   {c |}{res}          4       1.04       1.04      93.51
{txt}        1     {c |}{res}         25       6.49       6.49     100.00
{txt}        Total {c |}{res}        385     100.00     100.00           
{txt}{hline 13}{hline 1}{c BT}{hline 44}
{res}
{txt}men_prob {hline 2} men_prob
{txt}{hline 13}{hline 1}{c TT}{hline 44}
{txt}        {txt}      {c |}      Freq.    Percent      Valid       Cum.
{txt}{hline 13}{hline 1}{c +}{hline 44}
{txt}Valid   0     {c |}{res}        155      40.26      40.36      40.36
{txt}        .08   {c |}{res}          1       0.26       0.26      40.62
{txt}        .14   {c |}{res}          3       0.78       0.78      41.41
{txt}        .2    {c |}{res}          2       0.52       0.52      41.93
{txt}        .25   {c |}{res}          8       2.08       2.08      44.01
{txt}        .32   {c |}{res}          1       0.26       0.26      44.27
{txt}        .33   {c |}{res}         69      17.92      17.97      62.24
{txt}        .37   {c |}{res}          1       0.26       0.26      62.50
{txt}        .38   {c |}{res}          1       0.26       0.26      62.76
{txt}        .4    {c |}{res}          1       0.26       0.26      63.02
{txt}        .5    {c |}{res}         91      23.64      23.70      86.72
{txt}        .67   {c |}{res}          5       1.30       1.30      88.02
{txt}        1     {c |}{res}         46      11.95      11.98     100.00
{txt}        Total {c |}{res}        384      99.74     100.00           
{txt}Missing .     {c |}{res}          1       0.26                      
{txt}Total         {c |}{res}        385     100.00                      
{txt}{hline 13}{hline 1}{c BT}{hline 44}

{com}.         
.         gen MQsample_check=0
{txt}
{com}.         replace MQsample_check=1 if men_prob<1 & men_prob>0 & hiv_prob_men!=men_prob
{txt}(127 real changes made)

{com}.         tab MQsampl*

           {txt}{c |}    MQsample_check
  MQsample {c |}         0          1 {c |}     Total
{hline 11}{c +}{hline 22}{c +}{hline 10}
         0 {c |}{res}       202          7 {txt}{c |}{res}       209 
{txt}         1 {c |}{res}        56        120 {txt}{c |}{res}       176 
{txt}{hline 11}{c +}{hline 22}{c +}{hline 10}
     Total {c |}{res}       258        127 {txt}{c |}{res}       385 

{txt}
{com}.         
.         gen HIVsample = 0
{txt}
{com}.         replace HIVsample = 1 if hiv_prob_men<1 & hiv_prob_men>0
{txt}(59 real changes made)

{com}.         
.         keep country year women_lower men_lower women_upper men_upper MQsample BMsample HIVsample men_prob
{txt}
{com}.         
.         keep if MQsample == 1 | BMsample == 1
{txt}(195 observations deleted)

{com}. 
.         tostring year, replace
{txt}year was {res:int} now {res:str4}

{com}.         order country year, first
{txt}
{com}.                 
.         * Checking the number of surveys
. 
.         duplicates drop

{p 0 4}{txt}Duplicates in terms of {txt} all variables{p_end}

(0 observations are duplicates)

{com}.         duplicates tag country year, gen(dup)

{p 0 4}{txt}Duplicates in terms of {res} country year{p_end}
{txt}
{com}.         
.         count
  {res}190
{txt}
{com}.         
.         tempfile info
{txt}
{com}.         sa "`info'"
{txt}file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.000004 saved

{com}.         
.         restore
{txt}
{com}.         
.         merge m:1 country year using "`info'"
{res}
{txt}{col 5}Result{col 38}# of obs.
{col 5}{hline 41}
{col 5}not matched{col 30}{res}           1,244
{txt}{col 9}from master{col 30}{res}           1,243{txt}  (_merge==1)
{col 9}from using{col 30}{res}               1{txt}  (_merge==2)

{col 5}matched{col 30}{res}           1,428{txt}  (_merge==3)
{col 5}{hline 41}

{com}.         
.         drop if _merge == 2
{txt}(1 observation deleted)

{com}. 
.         ren _merge merge1
{res}{txt}
{com}.         
.         * n_women_sample
.         
.         preserve
{txt}
{com}.         
.         use "${c -(}comploc{c )-}dhs_census_pairs.dta", clear
{txt}
{com}.         
.         keep country year_dhs n_women_sample
{txt}
{com}. 
.         drop if n_women_sample == 0
{txt}(29 observations deleted)

{com}. 
.         ren year_dhs year
{res}{txt}
{com}.         tostring year, replace
{txt}year was {res:int} now {res:str4}

{com}.         
.         duplicates drop

{p 0 4}{txt}Duplicates in terms of {txt} all variables{p_end}

(0 observations are duplicates)

{com}.         
.         tempfile pairs
{txt}
{com}.         sa "`pairs'"
{txt}file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.000006 saved

{com}.         
.         restore
{txt}
{com}.         
.         merge m:1 country year using "`pairs'"
{res}
{txt}{col 5}Result{col 38}# of obs.
{col 5}{hline 41}
{col 5}not matched{col 30}{res}           2,223
{txt}{col 9}from master{col 30}{res}           2,223{txt}  (_merge==1)
{col 9}from using{col 30}{res}               0{txt}  (_merge==2)

{col 5}matched{col 30}{res}             448{txt}  (_merge==3)
{col 5}{hline 41}

{com}.         
.         drop _merge
{txt}
{com}.         
.         * Eligible
.         
.         preserve
{txt}
{com}.         
.         use "${c -(}comploc{c )-}census_dhs_pairs.dta", clear
{txt}
{com}.         
.         keep country year_dhs women_lower men_lower women_upper men_upper eligible
{txt}
{com}.         
.         foreach var in women_lower men_lower women_upper men_upper eligible {c -(}
{txt}  2{com}.         
.                 ren `var' `var'_p
{txt}  3{com}.                 
.                 {c )-}
{res}{txt}
{com}.         
.         drop if eligible == 0
{txt}(62 observations deleted)

{com}. 
.         ren year_dhs year
{res}{txt}
{com}.         tostring year, replace
{txt}year was {res:int} now {res:str4}

{com}.         
.         duplicates drop

{p 0 4}{txt}Duplicates in terms of {txt} all variables{p_end}

(0 observations are duplicates)

{com}.         drop if country == "BGD" & women_lower_p == "13"
{txt}(0 observations deleted)

{com}. 
.         tempfile pairs
{txt}
{com}.         sa "`pairs'"
{txt}file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.000008 saved

{com}.         
.         restore
{txt}
{com}.         
.         merge m:1 country year using "`pairs'"
{res}
{txt}{col 5}Result{col 38}# of obs.
{col 5}{hline 41}
{col 5}not matched{col 30}{res}           2,497
{txt}{col 9}from master{col 30}{res}           2,497{txt}  (_merge==1)
{col 9}from using{col 30}{res}               0{txt}  (_merge==2)

{col 5}matched{col 30}{res}             174{txt}  (_merge==3)
{col 5}{hline 41}

{com}. 
.         drop if _merge == 2
{txt}(0 observations deleted)

{com}. 
.         gen test = 0
{txt}
{com}.         replace test = 1 if MQsample == 1
{txt}(1,349 real changes made)

{com}.         drop if test == 0
{txt}(1,322 observations deleted)

{com}.         
.         keep country year
{txt}
{com}.         duplicates drop

{p 0 4}{txt}Duplicates in terms of {txt} all variables{p_end}

(1,173 observations deleted)

{com}.         
.         gen level = country + "_DHS_" + year + "_clean.dta"
{txt}
{com}. 
.         levelsof level
{txt}`"AFG_DHS_2015_clean.dta"' `"AGO_DHS_2015_clean.dta"' `"ALB_DHS_2008_clean.dta"' `"ALB_DHS_2017_clean.dta"' `"ARM_DHS_2000_clean.dta"' `"ARM_DHS_2005_clean.dta"' `"ARM_DHS_2010_clean.dta"' `"ARM_DHS_2015_clean.dta"' `"AZE_DHS_2006_clean.dta"' `"BDI_DHS_2010_clean.dta"' `"BDI_DHS_2016_clean.dta"' `"BEN_DHS_1996_clean.dta"' `"BEN_DHS_2001_clean.dta"' `"BEN_DHS_2006_clean.dta"' `"BEN_DHS_2011_clean.dta"' `"BEN_DHS_2017_clean.dta"' `"BFA_DHS_1993_clean.dta"' `"BFA_DHS_1998_clean.dta"' `"BFA_DHS_2003_clean.dta"' `"BFA_DHS_2010_clean.dta"' `"BFA_DHS_2021_clean.dta"' `"BGD_DHS_1996_clean.dta"' `"BGD_DHS_1999_clean.dta"' `"BGD_DHS_2004_clean.dta"' `"BGD_DHS_2007_clean.dta"' `"BGD_DHS_2011_clean.dta"' `"BOL_DHS_1998_clean.dta"' `"BOL_DHS_2003_clean.dta"' `"BOL_DHS_2008_clean.dta"' `"BRA_DHS_1996_clean.dta"' `"CAF_DHS_1994_clean.dta"' `"CIV_DHS_1994_clean.dta"' `"CIV_DHS_1998_clean.dta"' `"CIV_DHS_2011_clean.dta"' `"CIV_DHS_2021_clean.dta"' `"CMR_DHS_1998_clean.dta"' `"CMR_DHS_2004_clean.dta"' `"CMR_DHS_2011_clean.dta"' `"CMR_DHS_2018_clean.dta"' `"COD_DHS_2007_clean.dta"' `"COD_DHS_2013_clean.dta"' `"COG_DHS_2005_clean.dta"' `"COG_DHS_2011_clean.dta"' `"COM_DHS_1996_clean.dta"' `"COM_DHS_2012_clean.dta"' `"DOM_DHS_2002_clean.dta"' `"ETH_DHS_2000_clean.dta"' `"ETH_DHS_2005_clean.dta"' `"GAB_DHS_2000_clean.dta"' `"GAB_DHS_2012_clean.dta"' `"GAB_DHS_2019_clean.dta"' `"GHA_DHS_1993_clean.dta"' `"GHA_DHS_1998_clean.dta"' `"GHA_DHS_2008_clean.dta"' `"GHA_DHS_2014_clean.dta"' `"GIN_DHS_1999_clean.dta"' `"GIN_DHS_2005_clean.dta"' `"GIN_DHS_2012_clean.dta"' `"GIN_DHS_2018_clean.dta"' `"GMB_DHS_2013_clean.dta"' `"GMB_DHS_2019_clean.dta"' `"GTM_DHS_2014_clean.dta"' `"HND_DHS_2011_clean.dta"' `"HTI_DHS_1994_clean.dta"' `"HTI_DHS_2000_clean.dta"' `"HTI_DHS_2005_clean.dta"' `"HTI_DHS_2012_clean.dta"' `"IDN_DHS_2002_clean.dta"' `"IDN_DHS_2007_clean.dta"' `"IDN_DHS_2012_clean.dta"' `"IDN_DHS_2017_clean.dta"' `"IND_DHS_2005_clean.dta"' `"IND_DHS_2015_clean.dta"' `"IND_DHS_2019_clean.dta"' `"JOR_DHS_2017_clean.dta"' `"KAZ_DHS_1999_clean.dta"' `"KEN_DHS_1993_clean.dta"' `"KEN_DHS_1998_clean.dta"' `"KEN_DHS_2003_clean.dta"' `"KEN_DHS_2008_clean.dta"' `"KEN_DHS_2014_clean.dta"' `"KEN_DHS_2022_clean.dta"' `"KGZ_DHS_2012_clean.dta"' `"KHM_DHS_2005_clean.dta"' `"KHM_DHS_2010_clean.dta"' `"KHM_DHS_2014_clean.dta"' `"KHM_DHS_2021_clean.dta"' `"LBR_DHS_2013_clean.dta"' `"LBR_DHS_2019_clean.dta"' `"LSO_DHS_2004_clean.dta"' `"LSO_DHS_2009_clean.dta"' `"LSO_DHS_2014_clean.dta"' `"MAR_DHS_1992_clean.dta"' `"MDA_DHS_2005_clean.dta"' `"MDG_DHS_2003_clean.dta"' `"MDG_DHS_2008_clean.dta"' `"MDG_DHS_2021_clean.dta"' `"MDV_DHS_2009_clean.dta"' `"MLI_DHS_1995_clean.dta"' `"MLI_DHS_2001_clean.dta"' `"MLI_DHS_2006_clean.dta"' `"MLI_DHS_2012_clean.dta"' `"MLI_DHS_2018_clean.dta"' `"MMR_DHS_2015_clean.dta"' `"MOZ_DHS_1997_clean.dta"' `"MOZ_DHS_2003_clean.dta"' `"MOZ_DHS_2011_clean.dta"' `"MRT_DHS_2019_clean.dta"' `"MWI_DHS_1992_clean.dta"' `"MWI_DHS_2000_clean.dta"' `"MWI_DHS_2004_clean.dta"' `"MWI_DHS_2010_clean.dta"' `"MWI_DHS_2015_clean.dta"' `"NAM_DHS_2000_clean.dta"' `"NAM_DHS_2006_clean.dta"' `"NAM_DHS_2013_clean.dta"' `"NER_DHS_1998_clean.dta"' `"NER_DHS_2006_clean.dta"' `"NER_DHS_2012_clean.dta"' `"NGA_DHS_2003_clean.dta"' `"NGA_DHS_2008_clean.dta"' `"NGA_DHS_2013_clean.dta"' `"NGA_DHS_2018_clean.dta"' `"NIC_DHS_1998_clean.dta"' `"NPL_DHS_2001_clean.dta"' `"NPL_DHS_2006_clean.dta"' `"NPL_DHS_2011_clean.dta"' `"NPL_DHS_2016_clean.dta"' `"NPL_DHS_2022_clean.dta"' `"PAK_DHS_2012_clean.dta"' `"PAK_DHS_2017_clean.dta"' `"PER_DHS_1996_clean.dta"' `"PHL_DHS_2003_clean.dta"' `"PNG_DHS_2016_clean.dta"' `"RWA_DHS_2000_clean.dta"' `"RWA_DHS_2005_clean.dta"' `"RWA_DHS_2010_clean.dta"' `"RWA_DHS_2014_clean.dta"' `"RWA_DHS_2019_clean.dta"' `"SEN_DHS_1992_clean.dta"' `"SEN_DHS_2005_clean.dta"' `"SEN_DHS_2010_clean.dta"' `"SEN_DHS_2014_clean.dta"' `"SEN_DHS_2015_clean.dta"' `"SEN_DHS_2016_clean.dta"' `"SEN_DHS_2017_clean.dta"' `"SEN_DHS_2018_clean.dta"' `"SEN_DHS_2019_clean.dta"' `"SLE_DHS_2008_clean.dta"' `"SLE_DHS_2013_clean.dta"' `"SLE_DHS_2019_clean.dta"' `"TCD_DHS_1996_clean.dta"' `"TCD_DHS_2004_clean.dta"' `"TCD_DHS_2014_clean.dta"' `"TGO_DHS_1998_clean.dta"' `"TGO_DHS_2013_clean.dta"' `"TLS_DHS_2009_clean.dta"' `"TLS_DHS_2016_clean.dta"' `"TZA_DHS_1991_clean.dta"' `"TZA_DHS_1996_clean.dta"' `"TZA_DHS_2004_clean.dta"' `"TZA_DHS_2010_clean.dta"' `"TZA_DHS_2015_clean.dta"' `"TZA_DHS_2022_clean.dta"' `"UGA_DHS_1995_clean.dta"' `"UGA_DHS_2000_clean.dta"' `"UGA_DHS_2006_clean.dta"' `"UGA_DHS_2011_clean.dta"' `"UGA_DHS_2016_clean.dta"' `"UKR_DHS_2007_clean.dta"' `"UZB_DHS_2002_clean.dta"' `"ZAF_DHS_2016_clean.dta"' `"ZMB_DHS_1996_clean.dta"' `"ZMB_DHS_2001_clean.dta"' `"ZWE_DHS_1994_clean.dta"' `"ZWE_DHS_1999_clean.dta"'

{com}. 
.         local lvlfiles `r(levels)'
{txt}
{com}.         
.         local z = 0
{txt}
{com}.         local z2 = 0
{txt}
{com}.         
.         e

{txt}end of do-file


{com}. do "/var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//SD44938.000000"
{txt}
{com}. 
.         
.         * Loop over DHS datasets
.         ********************************************************************************
. 
.         cap clear all
{txt}
{com}.         set scheme s1mono
{txt}
{com}. 
.         * Collecting the country and year of file
. 
.         filelist , dir("$rawloc") pat("*.DTA")
{res}{txt}Number of files found = {res}2392
{txt}
{com}.         
.         preserve
{txt}
{com}.         
.         filelist , dir("$rawloc") pat("*.dta")
{res}{txt}Number of files found = {res}2840
{txt}
{com}.         
.         * We drop special case from MOZ
.         
.         drop if regexm(filename,"MOZ_population_statistics")
{txt}(0 observations deleted)

{com}.         
.         tempfile file
{txt}
{com}.         sa "`file'"
{txt}file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.000002 saved

{com}.         
.         restore
{txt}
{com}.         
.         append using "`file'"
{txt}{p 0 7 2}
(note: variable
dirname was 
str101, now str258 to accommodate using data's values)
{p_end}
{p 0 7 2}
(note: variable
filename was 
str33, now str70 to accommodate using data's values)
{p_end}

{com}. 
.         * We only select the DHS
.         
.         gen kept = 0
{txt}
{com}.         replace kept = 1 if regexm(dirname,"DHS") | regexm(dirname,"MIS") | regexm(dirname,"KAP") | regexm(dirname,"AIS")
{txt}(2,695 real changes made)

{com}.         
.         keep if kept == 1
{txt}(2,537 observations deleted)

{com}.         drop if regexm(dirname,"_other_surveys")
{txt}(24 observations deleted)

{com}.         
.         split dirname, p("//")
{res}variables created as string: 
{txt}{col 1}dirname1{col 11}dirname2

{com}.         
.         keep dirname dirname2 filename
{txt}
{com}.         ren dirname2 temp
{res}{txt}
{com}.         split temp, p("/")
{res}variables created as string: 
{txt}{col 1}temp1{col 8}temp2{col 15}temp3{col 22}temp4{col 29}temp5{col 36}temp6{col 43}temp7{col 50}temp8

{com}.         
.         keep dirname filename temp1 temp2
{txt}
{com}.         ren temp1 country
{res}{txt}
{com}.         
.         replace temp2 = subinstr(temp2,"DHS_","",.)
{txt}(2,413 real changes made)

{com}.         replace temp2 = subinstr(temp2,"MIS_","",.)
{txt}(140 real changes made)

{com}.         replace temp2 = subinstr(temp2,"KAP_","",.)
{txt}(5 real changes made)

{com}.         replace temp2 = subinstr(temp2,"AIS_","",.)
{txt}(16 real changes made)

{com}.         ren temp2 temp
{res}{txt}
{com}.         split temp, p("-")
{res}variables created as string: 
{txt}{col 1}temp1{col 8}temp2

{com}.         drop temp temp2
{txt}
{com}.         ren temp1 year
{res}{txt}
{com}.         
.         * We load the excel information document
.         
.         preserve
{txt}
{com}.         
.         use "$comploc/survey_age_thresholds_dhs.dta", clear
{txt}
{com}.         
.         fre hiv_prob_men men_prob
{res}
{txt}hiv_prob_men
{txt}{hline 13}{hline 1}{c TT}{hline 44}
{txt}        {txt}      {c |}      Freq.    Percent      Valid       Cum.
{txt}{hline 13}{hline 1}{c +}{hline 44}
{txt}Valid   0     {c |}{res}        301      78.18      78.18      78.18
{txt}        .14   {c |}{res}          2       0.52       0.52      78.70
{txt}        .18   {c |}{res}          1       0.26       0.26      78.96
{txt}        .33   {c |}{res}         11       2.86       2.86      81.82
{txt}        .38   {c |}{res}          1       0.26       0.26      82.08
{txt}        .5    {c |}{res}         40      10.39      10.39      92.47
{txt}        .67   {c |}{res}          4       1.04       1.04      93.51
{txt}        1     {c |}{res}         25       6.49       6.49     100.00
{txt}        Total {c |}{res}        385     100.00     100.00           
{txt}{hline 13}{hline 1}{c BT}{hline 44}
{res}
{txt}men_prob {hline 2} men_prob
{txt}{hline 13}{hline 1}{c TT}{hline 44}
{txt}        {txt}      {c |}      Freq.    Percent      Valid       Cum.
{txt}{hline 13}{hline 1}{c +}{hline 44}
{txt}Valid   0     {c |}{res}        155      40.26      40.36      40.36
{txt}        .08   {c |}{res}          1       0.26       0.26      40.62
{txt}        .14   {c |}{res}          3       0.78       0.78      41.41
{txt}        .2    {c |}{res}          2       0.52       0.52      41.93
{txt}        .25   {c |}{res}          8       2.08       2.08      44.01
{txt}        .32   {c |}{res}          1       0.26       0.26      44.27
{txt}        .33   {c |}{res}         69      17.92      17.97      62.24
{txt}        .37   {c |}{res}          1       0.26       0.26      62.50
{txt}        .38   {c |}{res}          1       0.26       0.26      62.76
{txt}        .4    {c |}{res}          1       0.26       0.26      63.02
{txt}        .5    {c |}{res}         91      23.64      23.70      86.72
{txt}        .67   {c |}{res}          5       1.30       1.30      88.02
{txt}        1     {c |}{res}         46      11.95      11.98     100.00
{txt}        Total {c |}{res}        384      99.74     100.00           
{txt}Missing .     {c |}{res}          1       0.26                      
{txt}Total         {c |}{res}        385     100.00                      
{txt}{hline 13}{hline 1}{c BT}{hline 44}

{com}.         
.         gen MQsample_check=0
{txt}
{com}.         replace MQsample_check=1 if men_prob<1 & men_prob>0 & hiv_prob_men!=men_prob
{txt}(127 real changes made)

{com}.         tab MQsampl*

           {txt}{c |}    MQsample_check
  MQsample {c |}         0          1 {c |}     Total
{hline 11}{c +}{hline 22}{c +}{hline 10}
         0 {c |}{res}       202          7 {txt}{c |}{res}       209 
{txt}         1 {c |}{res}        56        120 {txt}{c |}{res}       176 
{txt}{hline 11}{c +}{hline 22}{c +}{hline 10}
     Total {c |}{res}       258        127 {txt}{c |}{res}       385 

{txt}
{com}.         
.         gen HIVsample = 0
{txt}
{com}.         replace HIVsample = 1 if hiv_prob_men<1 & hiv_prob_men>0
{txt}(59 real changes made)

{com}.         
.         keep country year women_lower men_lower women_upper men_upper MQsample BMsample HIVsample men_prob
{txt}
{com}.         
.         keep if MQsample == 1 | BMsample == 1
{txt}(195 observations deleted)

{com}. 
.         tostring year, replace
{txt}year was {res:int} now {res:str4}

{com}.         order country year, first
{txt}
{com}.                 
.         * Checking the number of surveys
. 
.         duplicates drop

{p 0 4}{txt}Duplicates in terms of {txt} all variables{p_end}

(0 observations are duplicates)

{com}.         duplicates tag country year, gen(dup)

{p 0 4}{txt}Duplicates in terms of {res} country year{p_end}
{txt}
{com}.         
.         count
  {res}190
{txt}
{com}.         
.         tempfile info
{txt}
{com}.         sa "`info'"
{txt}file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.000004 saved

{com}.         
.         restore
{txt}
{com}.         
.         merge m:1 country year using "`info'"
{res}
{txt}{col 5}Result{col 38}# of obs.
{col 5}{hline 41}
{col 5}not matched{col 30}{res}           1,244
{txt}{col 9}from master{col 30}{res}           1,243{txt}  (_merge==1)
{col 9}from using{col 30}{res}               1{txt}  (_merge==2)

{col 5}matched{col 30}{res}           1,428{txt}  (_merge==3)
{col 5}{hline 41}

{com}.         
.         drop if _merge == 2
{txt}(1 observation deleted)

{com}. 
.         ren _merge merge1
{res}{txt}
{com}.         
.         * n_women_sample
.         
.         preserve
{txt}
{com}.         
.         use "${c -(}comploc{c )-}dhs_census_pairs.dta", clear
{txt}
{com}.         
.         keep country year_dhs n_women_sample
{txt}
{com}. 
.         drop if n_women_sample == 0
{txt}(29 observations deleted)

{com}. 
.         ren year_dhs year
{res}{txt}
{com}.         tostring year, replace
{txt}year was {res:int} now {res:str4}

{com}.         
.         duplicates drop

{p 0 4}{txt}Duplicates in terms of {txt} all variables{p_end}

(0 observations are duplicates)

{com}.         
.         tempfile pairs
{txt}
{com}.         sa "`pairs'"
{txt}file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.000006 saved

{com}.         
.         restore
{txt}
{com}.         
.         merge m:1 country year using "`pairs'"
{res}
{txt}{col 5}Result{col 38}# of obs.
{col 5}{hline 41}
{col 5}not matched{col 30}{res}           2,223
{txt}{col 9}from master{col 30}{res}           2,223{txt}  (_merge==1)
{col 9}from using{col 30}{res}               0{txt}  (_merge==2)

{col 5}matched{col 30}{res}             448{txt}  (_merge==3)
{col 5}{hline 41}

{com}.         
.         drop _merge
{txt}
{com}.         
.         * Eligible
.         
.         preserve
{txt}
{com}.         
.         use "${c -(}comploc{c )-}census_dhs_pairs.dta", clear
{txt}
{com}.         
.         keep country year_dhs women_lower men_lower women_upper men_upper eligible
{txt}
{com}.         
.         foreach var in women_lower men_lower women_upper men_upper eligible {c -(}
{txt}  2{com}.         
.                 ren `var' `var'_p
{txt}  3{com}.                 
.                 {c )-}
{res}{txt}
{com}.         
.         drop if eligible == 0
{txt}(62 observations deleted)

{com}. 
.         ren year_dhs year
{res}{txt}
{com}.         tostring year, replace
{txt}year was {res:int} now {res:str4}

{com}.         
.         duplicates drop

{p 0 4}{txt}Duplicates in terms of {txt} all variables{p_end}

(0 observations are duplicates)

{com}.         drop if country == "BGD" & women_lower_p == "13"
{txt}(0 observations deleted)

{com}. 
.         tempfile pairs
{txt}
{com}.         sa "`pairs'"
{txt}file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.000008 saved

{com}.         
.         restore
{txt}
{com}.         
.         merge m:1 country year using "`pairs'"
{res}
{txt}{col 5}Result{col 38}# of obs.
{col 5}{hline 41}
{col 5}not matched{col 30}{res}           2,497
{txt}{col 9}from master{col 30}{res}           2,497{txt}  (_merge==1)
{col 9}from using{col 30}{res}               0{txt}  (_merge==2)

{col 5}matched{col 30}{res}             174{txt}  (_merge==3)
{col 5}{hline 41}

{com}. 
.         drop if _merge == 2
{txt}(0 observations deleted)

{com}. 
.         gen test = 0
{txt}
{com}.         replace test = 1 if MQsample == 1
{txt}(1,349 real changes made)

{com}.         drop if test == 0
{txt}(1,322 observations deleted)

{com}.         
.         keep country year
{txt}
{com}.         duplicates drop

{p 0 4}{txt}Duplicates in terms of {txt} all variables{p_end}

(1,173 observations deleted)

{com}.         
.         gen level = country + "_DHS_" + year + "_clean.dta"
{txt}
{com}.         
.         keep if country == "BEN"
{txt}(171 observations deleted)

{com}.         
.         levelsof level
{txt}`"BEN_DHS_1996_clean.dta"' `"BEN_DHS_2001_clean.dta"' `"BEN_DHS_2006_clean.dta"' `"BEN_DHS_2011_clean.dta"' `"BEN_DHS_2017_clean.dta"'

{com}. 
.         local lvlfiles `r(levels)'
{txt}
{com}.         
.         local z = 0
{txt}
{com}.         local z2 = 0
{txt}
{com}.         
.         foreach lvl of local lvlfiles {c -(}
{txt}  2{com}.         
.                 local temp : subinstr local lvl `"""' "", all
{txt}  3{com}.                 local lvl: subinstr local temp "'" "", all
{txt}  4{com}.                 
.                 use "$cleanloc/`lvl'", clear
{txt}  5{com}.         
.                 * We work on the supervisor and time
.                 
.                 qui fre supervisor_id
{txt}  6{com}.                 
.                 if `r(r_valid)' != 0 {c -(}
{txt}  7{com}.                 
.                         qui fre start_time_hha 
{txt}  8{com}.                         
.                                 if `r(r_valid)' != 0 {c -(}
{txt}  9{com}.                         
.                                         qui local z = `z' + 1
{txt} 10{com}.                                 
.                                         qui keep id01_cluster supervisor_id start_time_hha
{txt} 11{com}.                                         qui duplicates drop
{txt} 12{com}.                                         qui duplicates tag supervisor_id start_time_hha, gen(tag)
{txt} 13{com}.                                         qui keep supervisor_id tag
{txt} 14{com}.                                         qui duplicates drop
{txt} 15{com}.                                         qui byso supervisor_id: egen num_cluster_sametime = max(tag)
{txt} 16{com}.                                         qui keep supervisor_id num_cluster_sametime
{txt} 17{com}.                                         qui duplicates drop
{txt} 18{com}.                                         
.                                         gen file = "`lvl'"
{txt} 19{com}.                                         order file, first
{txt} 20{com}.                                         
.                                         tempfile data`z'
{txt} 21{com}.                                         sa "`data`z''"
{txt} 22{com}.                                         
.                                         {c )-}
{txt} 23{com}.                                         
.                                         {c )-}
{txt} 24{com}.                                         
.                 * We work on the enumerator
.                 
.                 use "$cleanloc/`lvl'", clear
{txt} 25{com}.                 
.                 cap gen enum_id_mn = .
{txt} 26{com}.                 cap gen enum_id_wm = .
{txt} 27{com}.                 
.                 keep id01_cluster supervisor_id enumerator_hha enum_id_mn enum_id_wm start_time_hha
{txt} 28{com}.                 
.                 replace enumerator_hha = enum_id_mn if !missing(enum_id_mn) & missing(enumerator_hha)
{txt} 29{com}.                 replace enumerator_hha = enum_id_wm if !missing(enum_id_wm) & missing(enumerator_hha)
{txt} 30{com}.                 
.                 qui fre supervisor_id
{txt} 31{com}.                 
.                 {c )-}
{txt}file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.000009 saved
(0 real changes made)
(0 real changes made)
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.00000a saved
(0 real changes made)
(0 real changes made)
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.00000b saved
(0 real changes made)
(0 real changes made)
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.00000c saved
(0 real changes made)
(0 real changes made)
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.00000d saved
(0 real changes made)
(0 real changes made)

{com}.                 
.                 e

{txt}end of do-file


{com}. use "/Users/fredericcochinard/Dropbox/ACT_Health_JOP_replication_file/2.Datasets/GOAL_attendance_data.dta", clear

. use "/Users/fredericcochinard/Dropbox/ACT_Health_JOP_replication_file/2.Datasets/GOAL_assesment_tool.dta"

. use "/Users/fredericcochinard/Dropbox/ACT_Health_JOP_replication_file/2.Datasets/GOAL_attendance_data.dta"

. use "/Users/fredericcochinard/Dropbox/ACT_Health_JOP_replication_file/2.Datasets/GOAL_assesment_tool.dta"

. do "/var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//SD44938.000000"
{txt}
{com}. 
.         use "/Users/fredericcochinard/Dropbox/ACT_Health_JOP_replication_file/2.Datasets/GOAL_attendance_data.dta"
{txt}
{com}.         
.         lab var hc_id "Health center ID"
{txt}
{com}.         lab var treatment "Group of treatment"
{txt}
{com}. 
{txt}end of do-file

{com}. do "/var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//SD44938.000000"
{txt}
{com}. 
.         use "/Users/fredericcochinard/Dropbox/ACT_Health_JOP_replication_file/2.Datasets/GOAL_attendance_data.dta"
{txt}
{com}.         
.         lab var hc_id "Health center ID"
{txt}
{com}.         lab var treatment "Group of treatment"
{txt}
{com}.         lab var att_hc_dialogue "Number of staff present at dialogue"
{txt}
{com}.         lab var pct_hc_dialogue "Pct of staff present at dialogue"
{txt}
{com}. 
{txt}end of do-file

{com}. do "/var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//SD44938.000000"
{txt}
{com}. 
.         use "/Users/fredericcochinard/Dropbox/ACT_Health_JOP_replication_file/2.Datasets/GOAL_attendance_data.dta"
{txt}
{com}.         
.         lab var hc_id "Health center ID"
{txt}
{com}.         lab var treatment "Group of treatment"
{txt}
{com}.         lab var att_hc_dialogue "Number of staff present at dialogue"
{txt}
{com}.         lab var pct_hc_dialogue "Pct of staff present at dialogue"
{txt}
{com}.         lab var att_comm_dialogue "Number of community members (men) present at dialogue"
{txt}
{com}.         lab var att_comm_f_dialogue "Number of community members (women) present at dialogue"
{txt}
{com}. 
{txt}end of do-file

{com}. do "/var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//SD44938.000000"
{txt}
{com}. 
.         use "/Users/fredericcochinard/Dropbox/ACT_Health_JOP_replication_file/2.Datasets/GOAL_attendance_data.dta"
{txt}
{com}.         
.         lab var hc_id "Health center ID"
{txt}
{com}.         lab var treatment "Group of treatment"
{txt}
{com}.         lab var att_hc_dialogue "Number of staff present at dialogue"
{txt}
{com}.         lab var pct_hc_dialogue "Pct of staff present at dialogue"
{txt}
{com}.         lab var att_comm_dialogue "Number of community members (men) present at dialogue"
{txt}
{com}.         lab var att_comm_f_dialogue "Number of community members (women) present at dialogue"
{txt}
{com}.         lab var sc_comm_dialogue "Percent of HCs where at least one SC official is present"
{txt}
{com}.         lab var com_att_interface "Number of community members present at interface"
{txt}
{com}.         lab var com_att_fem_interface "Number of community members (women) present at interface"
{txt}
{com}. 
{txt}end of do-file

{com}. do "/var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//SD44938.000000"
{txt}
{com}. 
.         use "/Users/fredericcochinard/Dropbox/ACT_Health_JOP_replication_file/2.Datasets/GOAL_attendance_data.dta"
{txt}
{com}.         
.         lab var hc_id "Health center ID"
{txt}
{com}.         lab var treatment "Group of treatment"
{txt}
{com}.         lab var att_hc_dialogue "Number of staff present at dialogue"
{txt}
{com}.         lab var pct_hc_dialogue "Pct of staff present at dialogue"
{txt}
{com}.         lab var att_comm_dialogue "Number of community members (men) present at dialogue"
{txt}
{com}.         lab var att_comm_f_dialogue "Number of community members (women) present at dialogue"
{txt}
{com}.         lab var sc_comm_dialogue "Percent of HCs where at least one SC official is present"
{txt}
{com}.         lab var com_att_interface "Number of community members present at interface"
{txt}
{com}.         lab var com_att_fem_interface "Number of community members (women) present at interface"
{txt}
{com}.         lab var hc_att_interface "Number of HC staff present at interface"
{txt}
{com}.         lab var sc_att_interface "Pct of HCs where at least one SC official is present at interface"
{txt}
{com}. 
{txt}end of do-file

{com}. do "/var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//SD44938.000000"
{txt}
{com}. 
.         use "/Users/fredericcochinard/Dropbox/ACT_Health_JOP_replication_file/2.Datasets/GOAL_attendance_data.dta"
{txt}
{com}.         
.         lab var hc_id "Health center ID"
{txt}
{com}.         lab var treatment "Group of treatment"
{txt}
{com}.         lab var att_hc_dialogue "Number of staff present at dialogue"
{txt}
{com}.         lab var pct_hc_dialogue "Pct of staff present at dialogue"
{txt}
{com}.         lab var att_comm_dialogue "Number of community members (men) present at dialogue"
{txt}
{com}.         lab var att_comm_f_dialogue "Number of community members (women) present at dialogue"
{txt}
{com}.         lab var sc_comm_dialogue "Percent of HCs where at least one SC official is present"
{txt}
{com}.         lab var com_att_interface "Number of community members present at interface"
{txt}
{com}.         lab var com_att_fem_interface "Number of community members (women) present at interface"
{txt}
{com}.         lab var hc_att_interface "Number of HC staff present at interface"
{txt}
{com}.         lab var sc_att_interface "Pct of HCs where at least one SC official is present at interface"
{txt}
{com}.         
.         forvalues x = 1/3 {c -(}
{txt}  2{com}.                 
.                 lab var com_att_f_interface_`x' "Number of community members present at fup`x' interface"
{txt}  3{com}.                 lab var com_att_f_fem_interface_`x' "Number of community members (women) present at fup`x' interface"
{txt}  4{com}.                 
.                 {c )-}
{txt}
{com}.         
. 
{txt}end of do-file

{com}. do "/var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//SD44938.000000"
{txt}
{com}. 
.         use "/Users/fredericcochinard/Dropbox/ACT_Health_JOP_replication_file/2.Datasets/GOAL_attendance_data.dta"
{txt}
{com}.         
.         lab var hc_id "Health center ID"
{txt}
{com}.         lab var treatment "Group of treatment"
{txt}
{com}.         lab var att_hc_dialogue "Number of staff present at dialogue"
{txt}
{com}.         lab var pct_hc_dialogue "Pct of staff present at dialogue"
{txt}
{com}.         lab var att_comm_dialogue "Number of community members (men) present at dialogue"
{txt}
{com}.         lab var att_comm_f_dialogue "Number of community members (women) present at dialogue"
{txt}
{com}.         lab var sc_comm_dialogue "Percent of HCs where at least one SC official is present"
{txt}
{com}.         lab var com_att_interface "Number of community members present at interface"
{txt}
{com}.         lab var com_att_fem_interface "Number of community members (women) present at interface"
{txt}
{com}.         lab var hc_att_interface "Number of HC staff present at interface"
{txt}
{com}.         lab var sc_att_interface "Pct of HCs where at least one SC official is present at interface"
{txt}
{com}.         
.         forvalues x = 1/3 {c -(}
{txt}  2{com}.                 
.                 lab var com_att_f_interface_`x' "Number of community members present at fup`x' interface"
{txt}  3{com}.                 lab var com_att_f_fem_interface_`x' "Number of community members (women) present at fup`x' interface"
{txt}  4{com}.                 lab var hc_att_f_interface_`x' "Number of HC staff present at fup`x' interface"
{txt}  5{com}.                 
.                 {c )-}
{txt}
{com}.         
. 
{txt}end of do-file

{com}. do "/var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//SD44938.000000"
{txt}
{com}. 
.         use "/Users/fredericcochinard/Dropbox/ACT_Health_JOP_replication_file/2.Datasets/GOAL_attendance_data.dta"
{txt}
{com}.         
.         lab var hc_id "Health center ID"
{txt}
{com}.         lab var treatment "Group of treatment"
{txt}
{com}.         lab var att_hc_dialogue "Number of staff present at dialogue"
{txt}
{com}.         lab var pct_hc_dialogue "Pct of staff present at dialogue"
{txt}
{com}.         lab var att_comm_dialogue "Number of community members (men) present at dialogue"
{txt}
{com}.         lab var att_comm_f_dialogue "Number of community members (women) present at dialogue"
{txt}
{com}.         lab var sc_comm_dialogue "Percent of HCs where at least one SC official is present"
{txt}
{com}.         lab var com_att_interface "Number of community members present at interface"
{txt}
{com}.         lab var com_att_fem_interface "Number of community members (women) present at interface"
{txt}
{com}.         lab var hc_att_interface "Number of HC staff present at interface"
{txt}
{com}.         lab var sc_att_interface "Pct of HCs where at least one SC official is present at interface"
{txt}
{com}.         
.         forvalues x = 1/3 {c -(}
{txt}  2{com}.                 
.                 lab var com_att_f_interface_`x' "Number of community members present at fup`x' interface"
{txt}  3{com}.                 lab var com_att_f_fem_interface_`x' "Number of community members (women) present at fup`x' interface"
{txt}  4{com}.                 lab var hc_att_f_interface_`x' "Number of HC staff present at fup`x' interface"
{txt}  5{com}.                 lab var sc_att_f_interface_`x' "Pct of HCs where at least one SC official is present at fup`x' interface"
{txt}  6{com}.         
.                 {c )-}
{txt}
{com}.         
. 
{txt}end of do-file

{com}. do "/var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//SD44938.000000"
{txt}
{com}. 
.         use "/Users/fredericcochinard/Dropbox/ACT_Health_JOP_replication_file/2.Datasets/GOAL_attendance_data.dta"
{txt}
{com}.         
.         lab var hc_id "Health center ID"
{txt}
{com}.         lab var treatment "Group of treatment"
{txt}
{com}.         lab var att_hc_dialogue "Number of staff present at dialogue"
{txt}
{com}.         lab var pct_hc_dialogue "Pct of staff present at dialogue"
{txt}
{com}.         lab var att_comm_dialogue "Number of community members (men) present at dialogue"
{txt}
{com}.         lab var att_comm_f_dialogue "Number of community members (women) present at dialogue"
{txt}
{com}.         lab var sc_comm_dialogue "Percent of HCs where at least one SC official is present"
{txt}
{com}.         lab var com_att_interface "Number of community members present at interface"
{txt}
{com}.         lab var com_att_fem_interface "Number of community members (women) present at interface"
{txt}
{com}.         lab var hc_att_interface "Number of HC staff present at interface"
{txt}
{com}.         lab var sc_att_interface "Pct of HCs where at least one SC official is present at interface"
{txt}
{com}.         
.         forvalues x = 1/3 {c -(}
{txt}  2{com}.                 
.                 lab var com_att_f_interface_`x' "Number of community members present at fup`x' interface"
{txt}  3{com}.                 lab var com_att_f_fem_interface_`x' "Number of community members (women) present at fup`x' interface"
{txt}  4{com}.                 lab var hc_att_f_interface_`x' "Number of HC staff present at fup`x' interface"
{txt}  5{com}.                 lab var sc_att_f_interface_`x' "Pct of HCs where at least one SC official is present at fup`x' interface"
{txt}  6{com}.                 lab var com_att_f_comm_`x' "Number of community members present at fup`x' community"
{txt}  7{com}.                 lab var com_att_f_comm_`x' "Number of community members (women) present at fup`x' community"
{txt}  8{com}.                 lab var com_att_f_hc_`x' "Number of HC staff present at fup`x'"
{txt}  9{com}.                 
.                 {c )-}
{txt}
{com}.         
. 
{txt}end of do-file

{com}. do "/var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//SD44938.000000"
{txt}
{com}. 
.         use "/Users/fredericcochinard/Dropbox/ACT_Health_JOP_replication_file/2.Datasets/GOAL_attendance_data.dta"
{txt}
{com}.         
.         lab var hc_id "Health center ID"
{txt}
{com}.         lab var treatment "Group of treatment"
{txt}
{com}.         lab var att_hc_dialogue "Number of staff present at dialogue"
{txt}
{com}.         lab var pct_hc_dialogue "Pct of staff present at dialogue"
{txt}
{com}.         lab var att_comm_dialogue "Number of community members (men) present at dialogue"
{txt}
{com}.         lab var att_comm_f_dialogue "Number of community members (women) present at dialogue"
{txt}
{com}.         lab var sc_comm_dialogue "Percent of HCs where at least one SC official is present"
{txt}
{com}.         lab var com_att_interface "Number of community members present at interface"
{txt}
{com}.         lab var com_att_fem_interface "Number of community members (women) present at interface"
{txt}
{com}.         lab var hc_att_interface "Number of HC staff present at interface"
{txt}
{com}.         lab var sc_att_interface "Pct of HCs where at least one SC official is present at interface"
{txt}
{com}.         
.         forvalues x = 1/3 {c -(}
{txt}  2{com}.                 
.                 lab var com_att_f_interface_`x' "Number of community members present at fup`x' interface"
{txt}  3{com}.                 lab var com_att_f_fem_interface_`x' "Number of community members (women) present at fup`x' interface"
{txt}  4{com}.                 lab var hc_att_f_interface_`x' "Number of HC staff present at fup`x' interface"
{txt}  5{com}.                 lab var sc_att_f_interface_`x' "Pct of HCs where at least one SC official is present at fup`x' interface"
{txt}  6{com}.                 lab var com_att_f_comm_`x' "Number of community members present at fup`x' community"
{txt}  7{com}.                 lab var com_att_f_fem_comm_`x' "Number of community members (women) present at fup`x' community"
{txt}  8{com}.                 lab var com_att_f_hc_`x' "Number of HC staff present at fup`x'"
{txt}  9{com}.                 
.                 {c )-}
{txt}
{com}.         
. 
{txt}end of do-file

{com}. do "/var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//SD44938.000000"
{txt}
{com}. 
.         use "/Users/fredericcochinard/Dropbox/ACT_Health_JOP_replication_file/2.Datasets/GOAL_attendance_data.dta"
{txt}
{com}.         
.         lab var hc_id "Health center ID"
{txt}
{com}.         lab var treatment "Group of treatment"
{txt}
{com}.         lab var att_hc_dialogue "Number of staff present at dialogue"
{txt}
{com}.         lab var pct_hc_dialogue "Pct of staff present at dialogue"
{txt}
{com}.         lab var att_comm_dialogue "Number of community members (men) present at dialogue"
{txt}
{com}.         lab var att_comm_f_dialogue "Number of community members (women) present at dialogue"
{txt}
{com}.         lab var sc_comm_dialogue "Percent of HCs where at least one SC official is present"
{txt}
{com}.         lab var com_att_interface "Number of community members present at interface"
{txt}
{com}.         lab var com_att_fem_interface "Number of community members (women) present at interface"
{txt}
{com}.         lab var hc_att_interface "Number of HC staff present at interface"
{txt}
{com}.         lab var sc_att_interface "Pct of HCs where at least one SC official is present at interface"
{txt}
{com}.         
.         forvalues x = 1/3 {c -(}
{txt}  2{com}.                 
.                 lab var com_att_f_interface_`x' "Number of community members present at fup`x' interface"
{txt}  3{com}.                 lab var com_att_f_fem_interface_`x' "Number of community members (women) present at fup`x' interface"
{txt}  4{com}.                 lab var hc_att_f_interface_`x' "Number of HC staff present at fup`x' interface"
{txt}  5{com}.                 lab var sc_att_f_interface_`x' "Pct of HCs where at least one SC official is present at fup`x' interface"
{txt}  6{com}.                 lab var com_att_f_comm_`x' "Number of community members present at fup`x' community"
{txt}  7{com}.                 lab var com_att_f_fem_comm_`x' "Number of community members (women) present at fup`x' community"
{txt}  8{com}.                 lab var com_att_f_hc_`x' "Number of HC staff present at fup`x'"
{txt}  9{com}.                 
.                 {c )-}
{txt}
{com}.         
.         sa "/Users/fredericcochinard/Dropbox/ACT_Health_JOP_replication_file/2.Datasets/GOAL_attendance_data.dta", replace
{txt}file /Users/fredericcochinard/Dropbox/ACT_Health_JOP_replication_file/2.Datasets/GOAL_attendance_data.dta saved

{com}.         
. 
{txt}end of do-file

{com}. do "/var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//SD44938.000000"
{txt}
{com}. 
.         use "/Users/fredericcochinard/Dropbox/ACT_Health_JOP_replication_file/2.Datasets/GOAL_attendance_data.dta"
{txt}
{com}.         
.         lab var hc_id "Health center ID"
{txt}
{com}.         lab var treatment "Group of treatment"
{txt}
{com}.         lab var att_hc_dialogue "Number of staff present at dialogue"
{txt}
{com}.         lab var pct_hc_dialogue "Pct of staff present at dialogue"
{txt}
{com}.         lab var att_comm_dialogue "Number of community members (men) present at dialogue"
{txt}
{com}.         lab var att_comm_f_dialogue "Number of community members (women) present at dialogue"
{txt}
{com}.         lab var sc_comm_dialogue "Percent of HCs where at least one SC official is present"
{txt}
{com}.         lab var com_att_interface "Number of community members present at interface"
{txt}
{com}.         lab var com_att_fem_interface "Number of community members (women) present at interface"
{txt}
{com}.         lab var hc_att_interface "Number of HC staff present at interface"
{txt}
{com}.         lab var sc_att_interface "Pct of HCs where at least one SC official is present at interface"
{txt}
{com}.         
.         forvalues x = 1/3 {c -(}
{txt}  2{com}.                 
.                 lab var com_att_f_interface_`x' "Number of community members present at fup`x' interface"
{txt}  3{com}.                 lab var com_att_f_fem_interface_`x' "Number of community members (women) present at fup`x' interface"
{txt}  4{com}.                 lab var hc_att_f_interface_`x' "Number of HC staff present at fup`x' interface"
{txt}  5{com}.                 lab var sc_att_f_interface_`x' "Pct of HCs where at least one SC official is present at fup`x' interface"
{txt}  6{com}.                 lab var com_att_f_comm_`x' "Number of community members present at fup`x' community"
{txt}  7{com}.                 lab var com_att_f_fem_comm_`x' "Number of community members (women) present at fup`x' community"
{txt}  8{com}.                 lab var com_att_f_hc_`x' "Number of HC staff present at fup`x'"
{txt}  9{com}.                 
.                 {c )-}
{txt}
{com}.         
.         sa "/Users/fredericcochinard/Dropbox/ACT_Health_JOP_replication_file/2.Datasets/GOAL_attendance_data.dta", replace
{txt}file /Users/fredericcochinard/Dropbox/ACT_Health_JOP_replication_file/2.Datasets/GOAL_attendance_data.dta saved

{com}.         
.         htmlcb, saving("/Users/fredericcochinard/Dropbox/ACT_Health_JOP_replication_file/1.Code and Codebook/codebook - GOAL_attendance_data.htm")
{err}command {bf}htmlcb{sf} is unrecognized
{txt}{search r(199), local:r(199);}

end of do-file

{search r(199), local:r(199);}

{com}. ssc desc htmlcb
{txt}
{.-}
{s6hlp}
package ^htmlcb^ from http://fmwww.bc.edu/repec/bocode/h
{smcl}
{.-}
{s6hlp}

^TITLE^
      'HTMLCB': module to write a codebook as an html file

^DESCRIPTION/AUTHOR(S)^
      
       htmlcb creates an codebook in an html file from one or more
      Stata datasets.
      
      KW: codebook
      KW: html
      KW: data management
      
      Requires: Stata version 9.2
      
      Distribution-Date: 20200927
      
      Author: Maarten L. Buis, University of Konstanz
      Support: email maarten.buis@@uni-konstanz.de
      

^INSTALLATION FILES^                               (type ^net install^ ^htmlcb^)
      htmlcb.ado
      htmlcb.sthlp
{smcl}
{.-}
(type {stata ssc install htmlcb} to install)

{com}. ssc install htmlcb
{txt}checking {hilite:htmlcb} consistency and verifying not already installed...
installing into /Users/fredericcochinard/Library/Application Support/Stata/ado/plus/...
installation complete.

{com}. do "/var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//SD44938.000000"
{txt}
{com}. 
.         use "/Users/fredericcochinard/Dropbox/ACT_Health_JOP_replication_file/2.Datasets/GOAL_attendance_data.dta"
{txt}
{com}.         
.         lab var hc_id "Health center ID"
{txt}
{com}.         lab var treatment "Group of treatment"
{txt}
{com}.         lab var att_hc_dialogue "Number of staff present at dialogue"
{txt}
{com}.         lab var pct_hc_dialogue "Pct of staff present at dialogue"
{txt}
{com}.         lab var att_comm_dialogue "Number of community members (men) present at dialogue"
{txt}
{com}.         lab var att_comm_f_dialogue "Number of community members (women) present at dialogue"
{txt}
{com}.         lab var sc_comm_dialogue "Percent of HCs where at least one SC official is present"
{txt}
{com}.         lab var com_att_interface "Number of community members present at interface"
{txt}
{com}.         lab var com_att_fem_interface "Number of community members (women) present at interface"
{txt}
{com}.         lab var hc_att_interface "Number of HC staff present at interface"
{txt}
{com}.         lab var sc_att_interface "Pct of HCs where at least one SC official is present at interface"
{txt}
{com}.         
.         forvalues x = 1/3 {c -(}
{txt}  2{com}.                 
.                 lab var com_att_f_interface_`x' "Number of community members present at fup`x' interface"
{txt}  3{com}.                 lab var com_att_f_fem_interface_`x' "Number of community members (women) present at fup`x' interface"
{txt}  4{com}.                 lab var hc_att_f_interface_`x' "Number of HC staff present at fup`x' interface"
{txt}  5{com}.                 lab var sc_att_f_interface_`x' "Pct of HCs where at least one SC official is present at fup`x' interface"
{txt}  6{com}.                 lab var com_att_f_comm_`x' "Number of community members present at fup`x' community"
{txt}  7{com}.                 lab var com_att_f_fem_comm_`x' "Number of community members (women) present at fup`x' community"
{txt}  8{com}.                 lab var com_att_f_hc_`x' "Number of HC staff present at fup`x'"
{txt}  9{com}.                 
.                 {c )-}
{txt}
{com}.         
.         sa "/Users/fredericcochinard/Dropbox/ACT_Health_JOP_replication_file/2.Datasets/GOAL_attendance_data.dta", replace
{txt}file /Users/fredericcochinard/Dropbox/ACT_Health_JOP_replication_file/2.Datasets/GOAL_attendance_data.dta saved

{com}.         
.         htmlcb, saving("/Users/fredericcochinard/Dropbox/ACT_Health_JOP_replication_file/1.Code and Codebook/codebook - GOAL_attendance_data.htm")
{err}invalid 'and' 
{txt}{search r(198), local:r(198);}

end of do-file

{search r(198), local:r(198);}

{com}. do "/var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//SD44938.000000"
{txt}
{com}. 
.         global dofile "/Users/fredericcochinard/Dropbox/ACT_Health_JOP_replication_file/1.Code and Codebook/"
{txt}
{com}.         
.         use "/Users/fredericcochinard/Dropbox/ACT_Health_JOP_replication_file/2.Datasets/GOAL_attendance_data.dta"
{txt}
{com}.         
.         lab var hc_id "Health center ID"
{txt}
{com}.         lab var treatment "Group of treatment"
{txt}
{com}.         lab var att_hc_dialogue "Number of staff present at dialogue"
{txt}
{com}.         lab var pct_hc_dialogue "Pct of staff present at dialogue"
{txt}
{com}.         lab var att_comm_dialogue "Number of community members (men) present at dialogue"
{txt}
{com}.         lab var att_comm_f_dialogue "Number of community members (women) present at dialogue"
{txt}
{com}.         lab var sc_comm_dialogue "Percent of HCs where at least one SC official is present"
{txt}
{com}.         lab var com_att_interface "Number of community members present at interface"
{txt}
{com}.         lab var com_att_fem_interface "Number of community members (women) present at interface"
{txt}
{com}.         lab var hc_att_interface "Number of HC staff present at interface"
{txt}
{com}.         lab var sc_att_interface "Pct of HCs where at least one SC official is present at interface"
{txt}
{com}.         
.         forvalues x = 1/3 {c -(}
{txt}  2{com}.                 
.                 lab var com_att_f_interface_`x' "Number of community members present at fup`x' interface"
{txt}  3{com}.                 lab var com_att_f_fem_interface_`x' "Number of community members (women) present at fup`x' interface"
{txt}  4{com}.                 lab var hc_att_f_interface_`x' "Number of HC staff present at fup`x' interface"
{txt}  5{com}.                 lab var sc_att_f_interface_`x' "Pct of HCs where at least one SC official is present at fup`x' interface"
{txt}  6{com}.                 lab var com_att_f_comm_`x' "Number of community members present at fup`x' community"
{txt}  7{com}.                 lab var com_att_f_fem_comm_`x' "Number of community members (women) present at fup`x' community"
{txt}  8{com}.                 lab var com_att_f_hc_`x' "Number of HC staff present at fup`x'"
{txt}  9{com}.                 
.                 {c )-}
{txt}
{com}.         
.         sa "/Users/fredericcochinard/Dropbox/ACT_Health_JOP_replication_file/2.Datasets/GOAL_attendance_data.dta", replace
{txt}file /Users/fredericcochinard/Dropbox/ACT_Health_JOP_replication_file/2.Datasets/GOAL_attendance_data.dta saved

{com}.         
.         htmlcb, saving("$dofile/codebook - GOAL_attendance_data.htm")
{err}invalid 'and' 
{txt}{search r(198), local:r(198);}

end of do-file

{search r(198), local:r(198);}

{com}. do "/var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//SD44938.000000"
{txt}
{com}. 
.         global dofile "/Users/fredericcochinard/Dropbox/ACT_Health_JOP_replication_file/1.Code and Codebook/"
{txt}
{com}.         
.         use "/Users/fredericcochinard/Dropbox/ACT_Health_JOP_replication_file/2.Datasets/GOAL_attendance_data.dta"
{txt}
{com}.         
.         lab var hc_id "Health center ID"
{txt}
{com}.         lab var treatment "Group of treatment"
{txt}
{com}.         lab var att_hc_dialogue "Number of staff present at dialogue"
{txt}
{com}.         lab var pct_hc_dialogue "Pct of staff present at dialogue"
{txt}
{com}.         lab var att_comm_dialogue "Number of community members (men) present at dialogue"
{txt}
{com}.         lab var att_comm_f_dialogue "Number of community members (women) present at dialogue"
{txt}
{com}.         lab var sc_comm_dialogue "Percent of HCs where at least one SC official is present"
{txt}
{com}.         lab var com_att_interface "Number of community members present at interface"
{txt}
{com}.         lab var com_att_fem_interface "Number of community members (women) present at interface"
{txt}
{com}.         lab var hc_att_interface "Number of HC staff present at interface"
{txt}
{com}.         lab var sc_att_interface "Pct of HCs where at least one SC official is present at interface"
{txt}
{com}.         
.         forvalues x = 1/3 {c -(}
{txt}  2{com}.                 
.                 lab var com_att_f_interface_`x' "Number of community members present at fup`x' interface"
{txt}  3{com}.                 lab var com_att_f_fem_interface_`x' "Number of community members (women) present at fup`x' interface"
{txt}  4{com}.                 lab var hc_att_f_interface_`x' "Number of HC staff present at fup`x' interface"
{txt}  5{com}.                 lab var sc_att_f_interface_`x' "Pct of HCs where at least one SC official is present at fup`x' interface"
{txt}  6{com}.                 lab var com_att_f_comm_`x' "Number of community members present at fup`x' community"
{txt}  7{com}.                 lab var com_att_f_fem_comm_`x' "Number of community members (women) present at fup`x' community"
{txt}  8{com}.                 lab var com_att_f_hc_`x' "Number of HC staff present at fup`x'"
{txt}  9{com}.                 
.                 {c )-}
{txt}
{com}.         
.         sa "/Users/fredericcochinard/Dropbox/ACT_Health_JOP_replication_file/2.Datasets/GOAL_attendance_data.dta", replace
{txt}file /Users/fredericcochinard/Dropbox/ACT_Health_JOP_replication_file/2.Datasets/GOAL_attendance_data.dta saved

{com}.         
.         htmlcb, saving("/Users/fredericcochinard/Desktop/codebook - GOAL_attendance_data.htm")
{err}invalid '-' 
{txt}{search r(198), local:r(198);}

end of do-file

{search r(198), local:r(198);}

{com}. do "/var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//SD44938.000000"
{txt}
{com}. 
.         global dofile "/Users/fredericcochinard/Dropbox/ACT_Health_JOP_replication_file/1.Code and Codebook/"
{txt}
{com}.         
.         use "/Users/fredericcochinard/Dropbox/ACT_Health_JOP_replication_file/2.Datasets/GOAL_attendance_data.dta"
{txt}
{com}.         
.         lab var hc_id "Health center ID"
{txt}
{com}.         lab var treatment "Group of treatment"
{txt}
{com}.         lab var att_hc_dialogue "Number of staff present at dialogue"
{txt}
{com}.         lab var pct_hc_dialogue "Pct of staff present at dialogue"
{txt}
{com}.         lab var att_comm_dialogue "Number of community members (men) present at dialogue"
{txt}
{com}.         lab var att_comm_f_dialogue "Number of community members (women) present at dialogue"
{txt}
{com}.         lab var sc_comm_dialogue "Percent of HCs where at least one SC official is present"
{txt}
{com}.         lab var com_att_interface "Number of community members present at interface"
{txt}
{com}.         lab var com_att_fem_interface "Number of community members (women) present at interface"
{txt}
{com}.         lab var hc_att_interface "Number of HC staff present at interface"
{txt}
{com}.         lab var sc_att_interface "Pct of HCs where at least one SC official is present at interface"
{txt}
{com}.         
.         forvalues x = 1/3 {c -(}
{txt}  2{com}.                 
.                 lab var com_att_f_interface_`x' "Number of community members present at fup`x' interface"
{txt}  3{com}.                 lab var com_att_f_fem_interface_`x' "Number of community members (women) present at fup`x' interface"
{txt}  4{com}.                 lab var hc_att_f_interface_`x' "Number of HC staff present at fup`x' interface"
{txt}  5{com}.                 lab var sc_att_f_interface_`x' "Pct of HCs where at least one SC official is present at fup`x' interface"
{txt}  6{com}.                 lab var com_att_f_comm_`x' "Number of community members present at fup`x' community"
{txt}  7{com}.                 lab var com_att_f_fem_comm_`x' "Number of community members (women) present at fup`x' community"
{txt}  8{com}.                 lab var com_att_f_hc_`x' "Number of HC staff present at fup`x'"
{txt}  9{com}.                 
.                 {c )-}
{txt}
{com}.         
.         sa "/Users/fredericcochinard/Dropbox/ACT_Health_JOP_replication_file/2.Datasets/GOAL_attendance_data.dta", replace
{txt}file /Users/fredericcochinard/Dropbox/ACT_Health_JOP_replication_file/2.Datasets/GOAL_attendance_data.dta saved

{com}.         
.         htmlcb, saving("/Users/fredericcochinard/Desktop/test.htm")
{res}{txt}{p}Output written to {browse "/Users/fredericcochinard/Desktop/test.htm"}{p_end}

{com}. 
{txt}end of do-file

{com}. desc

{txt}Contains data from {res}/Users/fredericcochinard/Dropbox/ACT_Health_JOP_replication_file/2.Datasets/GOAL_attendance_data.dta
{txt}  obs:{res}           280                          
{txt} vars:{res}            32                          19 Feb 2025 18:29
{txt} size:{res}        16,520                          
{txt}{hline}
              storage   display    value
variable name   type    format     label      variable label
{hline}
{p 0 48}{res}{bind:hc_id          }{txt}{bind: int     }{bind:{txt}%10.0g    }{space 1}{bind:         }{bind:  }{res}{res}Health center ID{p_end}
{p 0 48}{bind:treatment      }{txt}{bind: str17   }{bind:{txt}%17s      }{space 1}{bind:         }{bind:  }{res}{res}Group of treatment{p_end}
{p 0 48}{bind:att_hc_dialogue}{txt}{bind: byte    }{bind:{txt}%10.0g    }{space 1}{bind:         }{bind:  }{res}{res}Number of staff present at dialogue{p_end}
{p 0 48}{bind:pct_hc_dialogue}{txt}{bind: double  }{bind:{txt}%10.0g    }{space 1}{bind:         }{bind:  }{res}{res}Pct of staff present at dialogue{p_end}
{p 0 48}{bind:att_comm_dial~e}{txt}{bind: int     }{bind:{txt}%10.0g    }{space 1}{bind:         }{bind:  }{res}{res}Number of community members (men) present at dialogue{p_end}
{p 0 48}{bind:att_comm_f_di~e}{txt}{bind: byte    }{bind:{txt}%10.0g    }{space 1}{bind:         }{bind:  }{res}{res}Number of community members (women) present at dialogue{p_end}
{p 0 48}{bind:sc_comm_dialo~e}{txt}{bind: byte    }{bind:{txt}%10.0g    }{space 1}{bind:         }{bind:  }{res}{res}Percent of HCs where at least one SC official is present{p_end}
{p 0 48}{bind:com_att_inter~e}{txt}{bind: byte    }{bind:{txt}%10.0g    }{space 1}{bind:         }{bind:  }{res}{res}Number of community members present at interface{p_end}
{p 0 48}{bind:com_att_fem_i~e}{txt}{bind: byte    }{bind:{txt}%10.0g    }{space 1}{bind:         }{bind:  }{res}{res}Number of community members (women) present at interface{p_end}
{p 0 48}{bind:hc_att_interf~e}{txt}{bind: byte    }{bind:{txt}%10.0g    }{space 1}{bind:         }{bind:  }{res}{res}Number of HC staff present at interface{p_end}
{p 0 48}{bind:sc_att_interf~e}{txt}{bind: byte    }{bind:{txt}%10.0g    }{space 1}{bind:         }{bind:  }{res}{res}Pct of HCs where at least one SC official is present at interface{p_end}
{p 0 48}{bind:com_att_f_int~1}{txt}{bind: byte    }{bind:{txt}%10.0g    }{space 1}{bind:         }{bind:  }{res}{res}Number of community members present at fup1 interface{p_end}
{p 0 48}{bind:com_att_f_f~e_1}{txt}{bind: byte    }{bind:{txt}%10.0g    }{space 1}{bind:         }{bind:  }{res}{res}Number of community members (women) present at fup1 interface{p_end}
{p 0 48}{bind:hc_att_f_inte~1}{txt}{bind: byte    }{bind:{txt}%10.0g    }{space 1}{bind:         }{bind:  }{res}{res}Number of HC staff present at fup1 interface{p_end}
{p 0 48}{bind:sc_att_f_inte~1}{txt}{bind: byte    }{bind:{txt}%10.0g    }{space 1}{bind:         }{bind:  }{res}{res}Pct of HCs where at least one SC official is present at fup1 interface{p_end}
{p 0 48}{bind:com_att_f_int~2}{txt}{bind: byte    }{bind:{txt}%10.0g    }{space 1}{bind:         }{bind:  }{res}{res}Number of community members present at fup2 interface{p_end}
{p 0 48}{bind:com_att_f_f~e_2}{txt}{bind: int     }{bind:{txt}%10.0g    }{space 1}{bind:         }{bind:  }{res}{res}Number of community members (women) present at fup2 interface{p_end}
{p 0 48}{bind:hc_att_f_inte~2}{txt}{bind: byte    }{bind:{txt}%10.0g    }{space 1}{bind:         }{bind:  }{res}{res}Number of HC staff present at fup2 interface{p_end}
{p 0 48}{bind:sc_att_f_inte~2}{txt}{bind: byte    }{bind:{txt}%10.0g    }{space 1}{bind:         }{bind:  }{res}{res}Pct of HCs where at least one SC official is present at fup2 interface{p_end}
{p 0 48}{bind:com_att_f_int~3}{txt}{bind: byte    }{bind:{txt}%10.0g    }{space 1}{bind:         }{bind:  }{res}{res}Number of community members present at fup3 interface{p_end}
{p 0 48}{bind:com_att_f_f~e_3}{txt}{bind: byte    }{bind:{txt}%10.0g    }{space 1}{bind:         }{bind:  }{res}{res}Number of community members (women) present at fup3 interface{p_end}
{p 0 48}{bind:hc_att_f_inte~3}{txt}{bind: byte    }{bind:{txt}%10.0g    }{space 1}{bind:         }{bind:  }{res}{res}Number of HC staff present at fup3 interface{p_end}
{p 0 48}{bind:sc_att_f_inte~3}{txt}{bind: byte    }{bind:{txt}%10.0g    }{space 1}{bind:         }{bind:  }{res}{res}Pct of HCs where at least one SC official is present at fup3 interface{p_end}
{p 0 48}{bind:com_att_f_com~1}{txt}{bind: byte    }{bind:{txt}%10.0g    }{space 1}{bind:         }{bind:  }{res}{res}Number of community members present at fup1 community{p_end}
{p 0 48}{bind:com_att_f_f~m_1}{txt}{bind: int     }{bind:{txt}%10.0g    }{space 1}{bind:         }{bind:  }{res}{res}Number of community members (women) present at fup1 community{p_end}
{p 0 48}{bind:com_att_f_com~2}{txt}{bind: byte    }{bind:{txt}%10.0g    }{space 1}{bind:         }{bind:  }{res}{res}Number of community members present at fup2 community{p_end}
{p 0 48}{bind:com_att_f_f~m_2}{txt}{bind: byte    }{bind:{txt}%10.0g    }{space 1}{bind:         }{bind:  }{res}{res}Number of community members (women) present at fup2 community{p_end}
{p 0 48}{bind:com_att_f_com~3}{txt}{bind: byte    }{bind:{txt}%10.0g    }{space 1}{bind:         }{bind:  }{res}{res}Number of community members present at fup3 community{p_end}
{p 0 48}{bind:com_att_f_f~m_3}{txt}{bind: byte    }{bind:{txt}%10.0g    }{space 1}{bind:         }{bind:  }{res}{res}Number of community members (women) present at fup3 community{p_end}
{p 0 48}{bind:com_att_f_hc_1 }{txt}{bind: byte    }{bind:{txt}%10.0g    }{space 1}{bind:         }{bind:  }{res}{res}Number of HC staff present at fup1{p_end}
{p 0 48}{bind:com_att_f_hc_2 }{txt}{bind: byte    }{bind:{txt}%10.0g    }{space 1}{bind:         }{bind:  }{res}{res}Number of HC staff present at fup2{p_end}
{p 0 48}{bind:com_att_f_hc_3 }{txt}{bind: byte    }{bind:{txt}%10.0g    }{space 1}{bind:         }{bind:  }{res}{res}Number of HC staff present at fup3{p_end}
{txt}{hline}
Sorted by: 

{com}. desc, fullnames

{txt}Contains data from {res}/Users/fredericcochinard/Dropbox/ACT_Health_JOP_replication_file/2.Datasets/GOAL_attendance_data.dta
{txt}  obs:{res}           280                          
{txt} vars:{res}            32                          19 Feb 2025 18:29
{txt} size:{res}        16,520                          
{txt}{hline}
              storage   display    value
variable name   type    format     label      variable label
{hline}
{p 0 48}{res}{bind:hc_id          }{txt}{bind: int     }{bind:{txt}%10.0g    }{space 1}{bind:         }{bind:  }{res}{res}Health center ID{p_end}
{p 0 48}{bind:treatment      }{txt}{bind: str17   }{bind:{txt}%17s      }{space 1}{bind:         }{bind:  }{res}{res}Group of treatment{p_end}
{p 0 48}{bind:att_hc_dialogue}{txt}{bind: byte    }{bind:{txt}%10.0g    }{space 1}{bind:         }{bind:  }{res}{res}Number of staff present at dialogue{p_end}
{p 0 48}{bind:pct_hc_dialogue}{txt}{bind: double  }{bind:{txt}%10.0g    }{space 1}{bind:         }{bind:  }{res}{res}Pct of staff present at dialogue{p_end}
{p 0 48}att_comm_dialogue{p_end}
{p 0 48}{space 15}{txt}{bind: int     }{bind:{txt}%10.0g    }{space 1}{bind:         }{bind:  }{res}{res}Number of community members (men) present at dialogue{p_end}
{p 0 48}att_comm_f_dialogue{p_end}
{p 0 48}{space 15}{txt}{bind: byte    }{bind:{txt}%10.0g    }{space 1}{bind:         }{bind:  }{res}{res}Number of community members (women) present at dialogue{p_end}
{p 0 48}sc_comm_dialogue{p_end}
{p 0 48}{space 15}{txt}{bind: byte    }{bind:{txt}%10.0g    }{space 1}{bind:         }{bind:  }{res}{res}Percent of HCs where at least one SC official is present{p_end}
{p 0 48}com_att_interface{p_end}
{p 0 48}{space 15}{txt}{bind: byte    }{bind:{txt}%10.0g    }{space 1}{bind:         }{bind:  }{res}{res}Number of community members present at interface{p_end}
{p 0 48}com_att_fem_interface{p_end}
{p 0 48}{space 15}{txt}{bind: byte    }{bind:{txt}%10.0g    }{space 1}{bind:         }{bind:  }{res}{res}Number of community members (women) present at interface{p_end}
{p 0 48}hc_att_interface{p_end}
{p 0 48}{space 15}{txt}{bind: byte    }{bind:{txt}%10.0g    }{space 1}{bind:         }{bind:  }{res}{res}Number of HC staff present at interface{p_end}
{p 0 48}sc_att_interface{p_end}
{p 0 48}{space 15}{txt}{bind: byte    }{bind:{txt}%10.0g    }{space 1}{bind:         }{bind:  }{res}{res}Pct of HCs where at least one SC official is present at interface{p_end}
{p 0 48}com_att_f_interface_1{p_end}
{p 0 48}{space 15}{txt}{bind: byte    }{bind:{txt}%10.0g    }{space 1}{bind:         }{bind:  }{res}{res}Number of community members present at fup1 interface{p_end}
{p 0 48}com_att_f_fem_interface_1{p_end}
{p 0 48}{space 15}{txt}{bind: byte    }{bind:{txt}%10.0g    }{space 1}{bind:         }{bind:  }{res}{res}Number of community members (women) present at fup1 interface{p_end}
{p 0 48}hc_att_f_interface_1{p_end}
{p 0 48}{space 15}{txt}{bind: byte    }{bind:{txt}%10.0g    }{space 1}{bind:         }{bind:  }{res}{res}Number of HC staff present at fup1 interface{p_end}
{p 0 48}sc_att_f_interface_1{p_end}
{p 0 48}{space 15}{txt}{bind: byte    }{bind:{txt}%10.0g    }{space 1}{bind:         }{bind:  }{res}{res}Pct of HCs where at least one SC official is present at fup1 interface{p_end}
{p 0 48}com_att_f_interface_2{p_end}
{p 0 48}{space 15}{txt}{bind: byte    }{bind:{txt}%10.0g    }{space 1}{bind:         }{bind:  }{res}{res}Number of community members present at fup2 interface{p_end}
{p 0 48}com_att_f_fem_interface_2{p_end}
{p 0 48}{space 15}{txt}{bind: int     }{bind:{txt}%10.0g    }{space 1}{bind:         }{bind:  }{res}{res}Number of community members (women) present at fup2 interface{p_end}
{p 0 48}hc_att_f_interface_2{p_end}
{p 0 48}{space 15}{txt}{bind: byte    }{bind:{txt}%10.0g    }{space 1}{bind:         }{bind:  }{res}{res}Number of HC staff present at fup2 interface{p_end}
{p 0 48}sc_att_f_interface_2{p_end}
{p 0 48}{space 15}{txt}{bind: byte    }{bind:{txt}%10.0g    }{space 1}{bind:         }{bind:  }{res}{res}Pct of HCs where at least one SC official is present at fup2 interface{p_end}
{p 0 48}com_att_f_interface_3{p_end}
{p 0 48}{space 15}{txt}{bind: byte    }{bind:{txt}%10.0g    }{space 1}{bind:         }{bind:  }{res}{res}Number of community members present at fup3 interface{p_end}
{p 0 48}com_att_f_fem_interface_3{p_end}
{p 0 48}{space 15}{txt}{bind: byte    }{bind:{txt}%10.0g    }{space 1}{bind:         }{bind:  }{res}{res}Number of community members (women) present at fup3 interface{p_end}
{p 0 48}hc_att_f_interface_3{p_end}
{p 0 48}{space 15}{txt}{bind: byte    }{bind:{txt}%10.0g    }{space 1}{bind:         }{bind:  }{res}{res}Number of HC staff present at fup3 interface{p_end}
{p 0 48}sc_att_f_interface_3{p_end}
{p 0 48}{space 15}{txt}{bind: byte    }{bind:{txt}%10.0g    }{space 1}{bind:         }{bind:  }{res}{res}Pct of HCs where at least one SC official is present at fup3 interface{p_end}
{p 0 48}com_att_f_comm_1{p_end}
{p 0 48}{space 15}{txt}{bind: byte    }{bind:{txt}%10.0g    }{space 1}{bind:         }{bind:  }{res}{res}Number of community members present at fup1 community{p_end}
{p 0 48}com_att_f_fem_comm_1{p_end}
{p 0 48}{space 15}{txt}{bind: int     }{bind:{txt}%10.0g    }{space 1}{bind:         }{bind:  }{res}{res}Number of community members (women) present at fup1 community{p_end}
{p 0 48}com_att_f_comm_2{p_end}
{p 0 48}{space 15}{txt}{bind: byte    }{bind:{txt}%10.0g    }{space 1}{bind:         }{bind:  }{res}{res}Number of community members present at fup2 community{p_end}
{p 0 48}com_att_f_fem_comm_2{p_end}
{p 0 48}{space 15}{txt}{bind: byte    }{bind:{txt}%10.0g    }{space 1}{bind:         }{bind:  }{res}{res}Number of community members (women) present at fup2 community{p_end}
{p 0 48}com_att_f_comm_3{p_end}
{p 0 48}{space 15}{txt}{bind: byte    }{bind:{txt}%10.0g    }{space 1}{bind:         }{bind:  }{res}{res}Number of community members present at fup3 community{p_end}
{p 0 48}com_att_f_fem_comm_3{p_end}
{p 0 48}{space 15}{txt}{bind: byte    }{bind:{txt}%10.0g    }{space 1}{bind:         }{bind:  }{res}{res}Number of community members (women) present at fup3 community{p_end}
{p 0 48}{bind:com_att_f_hc_1 }{txt}{bind: byte    }{bind:{txt}%10.0g    }{space 1}{bind:         }{bind:  }{res}{res}Number of HC staff present at fup1{p_end}
{p 0 48}{bind:com_att_f_hc_2 }{txt}{bind: byte    }{bind:{txt}%10.0g    }{space 1}{bind:         }{bind:  }{res}{res}Number of HC staff present at fup2{p_end}
{p 0 48}{bind:com_att_f_hc_3 }{txt}{bind: byte    }{bind:{txt}%10.0g    }{space 1}{bind:         }{bind:  }{res}{res}Number of HC staff present at fup3{p_end}
{txt}{hline}
Sorted by: 

{com}. do "/var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//SD44938.000000"
{txt}
{com}. 
.         
.         * Loop over DHS datasets
.         ********************************************************************************
. 
.         cap clear all
{txt}
{com}.         set scheme s1mono
{txt}
{com}. 
.         * Collecting the country and year of file
. 
.         filelist , dir("$rawloc") pat("*.DTA")
{res}{txt}Number of files found = {res}2392
{txt}
{com}.         
.         preserve
{txt}
{com}.         
.         filelist , dir("$rawloc") pat("*.dta")
{res}{txt}Number of files found = {res}2840
{txt}
{com}.         
.         * We drop special case from MOZ
.         
.         drop if regexm(filename,"MOZ_population_statistics")
{txt}(0 observations deleted)

{com}.         
.         tempfile file
{txt}
{com}.         sa "`file'"
{txt}file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.000002 saved

{com}.         
.         restore
{txt}
{com}.         
.         append using "`file'"
{txt}{p 0 7 2}
(note: variable
dirname was 
str101, now str258 to accommodate using data's values)
{p_end}
{p 0 7 2}
(note: variable
filename was 
str33, now str70 to accommodate using data's values)
{p_end}

{com}. 
.         * We only select the DHS
.         
.         gen kept = 0
{txt}
{com}.         replace kept = 1 if regexm(dirname,"DHS") | regexm(dirname,"MIS") | regexm(dirname,"KAP") | regexm(dirname,"AIS")
{txt}(2,695 real changes made)

{com}.         
.         keep if kept == 1
{txt}(2,537 observations deleted)

{com}.         drop if regexm(dirname,"_other_surveys")
{txt}(24 observations deleted)

{com}.         
.         split dirname, p("//")
{res}variables created as string: 
{txt}{col 1}dirname1{col 11}dirname2

{com}.         
.         keep dirname dirname2 filename
{txt}
{com}.         ren dirname2 temp
{res}{txt}
{com}.         split temp, p("/")
{res}variables created as string: 
{txt}{col 1}temp1{col 8}temp2{col 15}temp3{col 22}temp4{col 29}temp5{col 36}temp6{col 43}temp7{col 50}temp8

{com}.         
.         keep dirname filename temp1 temp2
{txt}
{com}.         ren temp1 country
{res}{txt}
{com}.         
.         replace temp2 = subinstr(temp2,"DHS_","",.)
{txt}(2,413 real changes made)

{com}.         replace temp2 = subinstr(temp2,"MIS_","",.)
{txt}(140 real changes made)

{com}.         replace temp2 = subinstr(temp2,"KAP_","",.)
{txt}(5 real changes made)

{com}.         replace temp2 = subinstr(temp2,"AIS_","",.)
{txt}(16 real changes made)

{com}.         ren temp2 temp
{res}{txt}
{com}.         split temp, p("-")
{res}variables created as string: 
{txt}{col 1}temp1{col 8}temp2

{com}.         drop temp temp2
{txt}
{com}.         ren temp1 year
{res}{txt}
{com}.         
.         * We load the excel information document
.         
.         preserve
{txt}
{com}.         
.         use "$comploc/survey_age_thresholds_dhs.dta", clear
{txt}
{com}.         
.         fre hiv_prob_men men_prob
{res}
{txt}hiv_prob_men
{txt}{hline 13}{hline 1}{c TT}{hline 44}
{txt}        {txt}      {c |}      Freq.    Percent      Valid       Cum.
{txt}{hline 13}{hline 1}{c +}{hline 44}
{txt}Valid   0     {c |}{res}        301      78.18      78.18      78.18
{txt}        .14   {c |}{res}          2       0.52       0.52      78.70
{txt}        .18   {c |}{res}          1       0.26       0.26      78.96
{txt}        .33   {c |}{res}         11       2.86       2.86      81.82
{txt}        .38   {c |}{res}          1       0.26       0.26      82.08
{txt}        .5    {c |}{res}         40      10.39      10.39      92.47
{txt}        .67   {c |}{res}          4       1.04       1.04      93.51
{txt}        1     {c |}{res}         25       6.49       6.49     100.00
{txt}        Total {c |}{res}        385     100.00     100.00           
{txt}{hline 13}{hline 1}{c BT}{hline 44}
{res}
{txt}men_prob {hline 2} men_prob
{txt}{hline 13}{hline 1}{c TT}{hline 44}
{txt}        {txt}      {c |}      Freq.    Percent      Valid       Cum.
{txt}{hline 13}{hline 1}{c +}{hline 44}
{txt}Valid   0     {c |}{res}        155      40.26      40.36      40.36
{txt}        .08   {c |}{res}          1       0.26       0.26      40.62
{txt}        .14   {c |}{res}          3       0.78       0.78      41.41
{txt}        .2    {c |}{res}          2       0.52       0.52      41.93
{txt}        .25   {c |}{res}          8       2.08       2.08      44.01
{txt}        .32   {c |}{res}          1       0.26       0.26      44.27
{txt}        .33   {c |}{res}         69      17.92      17.97      62.24
{txt}        .37   {c |}{res}          1       0.26       0.26      62.50
{txt}        .38   {c |}{res}          1       0.26       0.26      62.76
{txt}        .4    {c |}{res}          1       0.26       0.26      63.02
{txt}        .5    {c |}{res}         91      23.64      23.70      86.72
{txt}        .67   {c |}{res}          5       1.30       1.30      88.02
{txt}        1     {c |}{res}         46      11.95      11.98     100.00
{txt}        Total {c |}{res}        384      99.74     100.00           
{txt}Missing .     {c |}{res}          1       0.26                      
{txt}Total         {c |}{res}        385     100.00                      
{txt}{hline 13}{hline 1}{c BT}{hline 44}

{com}.         
.         gen MQsample_check=0
{txt}
{com}.         replace MQsample_check=1 if men_prob<1 & men_prob>0 & hiv_prob_men!=men_prob
{txt}(127 real changes made)

{com}.         tab MQsampl*

           {txt}{c |}    MQsample_check
  MQsample {c |}         0          1 {c |}     Total
{hline 11}{c +}{hline 22}{c +}{hline 10}
         0 {c |}{res}       202          7 {txt}{c |}{res}       209 
{txt}         1 {c |}{res}        56        120 {txt}{c |}{res}       176 
{txt}{hline 11}{c +}{hline 22}{c +}{hline 10}
     Total {c |}{res}       258        127 {txt}{c |}{res}       385 

{txt}
{com}.         
.         gen HIVsample = 0
{txt}
{com}.         replace HIVsample = 1 if hiv_prob_men<1 & hiv_prob_men>0
{txt}(59 real changes made)

{com}.         
.         keep country year women_lower men_lower women_upper men_upper MQsample BMsample HIVsample men_prob
{txt}
{com}.         
.         keep if MQsample == 1 | BMsample == 1
{txt}(195 observations deleted)

{com}. 
.         tostring year, replace
{txt}year was {res:int} now {res:str4}

{com}.         order country year, first
{txt}
{com}.                 
.         * Checking the number of surveys
. 
.         duplicates drop

{p 0 4}{txt}Duplicates in terms of {txt} all variables{p_end}

(0 observations are duplicates)

{com}.         duplicates tag country year, gen(dup)

{p 0 4}{txt}Duplicates in terms of {res} country year{p_end}
{txt}
{com}.         
.         count
  {res}190
{txt}
{com}.         
.         tempfile info
{txt}
{com}.         sa "`info'"
{txt}file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.000004 saved

{com}.         
.         restore
{txt}
{com}.         
.         merge m:1 country year using "`info'"
{res}
{txt}{col 5}Result{col 38}# of obs.
{col 5}{hline 41}
{col 5}not matched{col 30}{res}           1,244
{txt}{col 9}from master{col 30}{res}           1,243{txt}  (_merge==1)
{col 9}from using{col 30}{res}               1{txt}  (_merge==2)

{col 5}matched{col 30}{res}           1,428{txt}  (_merge==3)
{col 5}{hline 41}

{com}.         
.         drop if _merge == 2
{txt}(1 observation deleted)

{com}. 
.         ren _merge merge1
{res}{txt}
{com}.         
.         * n_women_sample
.         
.         preserve
{txt}
{com}.         
.         use "${c -(}comploc{c )-}dhs_census_pairs.dta", clear
{txt}
{com}.         
.         keep country year_dhs n_women_sample
{txt}
{com}. 
.         drop if n_women_sample == 0
{txt}(29 observations deleted)

{com}. 
.         ren year_dhs year
{res}{txt}
{com}.         tostring year, replace
{txt}year was {res:int} now {res:str4}

{com}.         
.         duplicates drop

{p 0 4}{txt}Duplicates in terms of {txt} all variables{p_end}

(0 observations are duplicates)

{com}.         
.         tempfile pairs
{txt}
{com}.         sa "`pairs'"
{txt}file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.000006 saved

{com}.         
.         restore
{txt}
{com}.         
.         merge m:1 country year using "`pairs'"
{res}
{txt}{col 5}Result{col 38}# of obs.
{col 5}{hline 41}
{col 5}not matched{col 30}{res}           2,223
{txt}{col 9}from master{col 30}{res}           2,223{txt}  (_merge==1)
{col 9}from using{col 30}{res}               0{txt}  (_merge==2)

{col 5}matched{col 30}{res}             448{txt}  (_merge==3)
{col 5}{hline 41}

{com}.         
.         drop _merge
{txt}
{com}.         
.         * Eligible
.         
.         preserve
{txt}
{com}.         
.         use "${c -(}comploc{c )-}census_dhs_pairs.dta", clear
{txt}
{com}.         
.         keep country year_dhs women_lower men_lower women_upper men_upper eligible
{txt}
{com}.         
.         foreach var in women_lower men_lower women_upper men_upper eligible {c -(}
{txt}  2{com}.         
.                 ren `var' `var'_p
{txt}  3{com}.                 
.                 {c )-}
{res}{txt}
{com}.         
.         drop if eligible == 0
{txt}(62 observations deleted)

{com}. 
.         ren year_dhs year
{res}{txt}
{com}.         tostring year, replace
{txt}year was {res:int} now {res:str4}

{com}.         
.         duplicates drop

{p 0 4}{txt}Duplicates in terms of {txt} all variables{p_end}

(0 observations are duplicates)

{com}.         drop if country == "BGD" & women_lower_p == "13"
{txt}(0 observations deleted)

{com}. 
.         tempfile pairs
{txt}
{com}.         sa "`pairs'"
{txt}file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.000008 saved

{com}.         
.         restore
{txt}
{com}.         
.         merge m:1 country year using "`pairs'"
{res}
{txt}{col 5}Result{col 38}# of obs.
{col 5}{hline 41}
{col 5}not matched{col 30}{res}           2,497
{txt}{col 9}from master{col 30}{res}           2,497{txt}  (_merge==1)
{col 9}from using{col 30}{res}               0{txt}  (_merge==2)

{col 5}matched{col 30}{res}             174{txt}  (_merge==3)
{col 5}{hline 41}

{com}. 
.         drop if _merge == 2
{txt}(0 observations deleted)

{com}. 
.         gen test = 0
{txt}
{com}.         replace test = 1 if MQsample == 1
{txt}(1,349 real changes made)

{com}.         drop if test == 0
{txt}(1,322 observations deleted)

{com}.         
.         keep country year
{txt}
{com}.         duplicates drop

{p 0 4}{txt}Duplicates in terms of {txt} all variables{p_end}

(1,173 observations deleted)

{com}.         
.         gen level = country + "_DHS_" + year + "_clean.dta"
{txt}
{com}.         
.         keep if country == "BEN"
{txt}(171 observations deleted)

{com}.         
.         levelsof level
{txt}`"BEN_DHS_1996_clean.dta"' `"BEN_DHS_2001_clean.dta"' `"BEN_DHS_2006_clean.dta"' `"BEN_DHS_2011_clean.dta"' `"BEN_DHS_2017_clean.dta"'

{com}. 
.         local lvlfiles `r(levels)'
{txt}
{com}.         
.         local z = 0
{txt}
{com}.         local z2 = 0
{txt}
{com}.         
.         foreach lvl of local lvlfiles {c -(}
{txt}  2{com}.         
.                 local temp : subinstr local lvl `"""' "", all
{txt}  3{com}.                 local lvl: subinstr local temp "'" "", all
{txt}  4{com}.                 
.                 use "$cleanloc/`lvl'", clear
{txt}  5{com}.         
.                 * We work on the supervisor and time
.                 
.                 qui fre supervisor_id
{txt}  6{com}.                 
.                 if `r(r_valid)' != 0 {c -(}
{txt}  7{com}.                 
.                         qui fre start_time_hha 
{txt}  8{com}.                         
.                                 if `r(r_valid)' != 0 {c -(}
{txt}  9{com}.                         
.                                         qui local z = `z' + 1
{txt} 10{com}.                                 
.                                         qui keep id01_cluster supervisor_id start_time_hha
{txt} 11{com}.                                         qui duplicates drop
{txt} 12{com}.                                         qui duplicates tag supervisor_id start_time_hha, gen(tag)
{txt} 13{com}.                                         qui keep supervisor_id tag
{txt} 14{com}.                                         qui duplicates drop
{txt} 15{com}.                                         qui byso supervisor_id: egen num_cluster_sametime = max(tag)
{txt} 16{com}.                                         qui keep supervisor_id num_cluster_sametime
{txt} 17{com}.                                         qui duplicates drop
{txt} 18{com}.                                         
.                                         gen file = "`lvl'"
{txt} 19{com}.                                         order file, first
{txt} 20{com}.                                         
.                                         tempfile data`z'
{txt} 21{com}.                                         sa "`data`z''"
{txt} 22{com}.                                         
.                                         {c )-}
{txt} 23{com}.                                         
.                                         {c )-}
{txt} 24{com}.                                         
.                 * We work on the enumerator
.                 
.                 use "$cleanloc/`lvl'", clear
{txt} 25{com}.                 
.                 cap gen enum_id_mn = .
{txt} 26{com}.                 cap gen enum_id_wm = .
{txt} 27{com}.                 
.                 keep id01_cluster supervisor_id enumerator_hha enum_id_mn enum_id_wm start_time_hha
{txt} 28{com}.                 
.                 replace enumerator_hha = enum_id_mn if !missing(enum_id_mn) & missing(enumerator_hha)
{txt} 29{com}.                 replace enumerator_hha = enum_id_wm if !missing(enum_id_wm) & missing(enumerator_hha)
{txt} 30{com}.                 
.                 qui fre supervisor_id
{txt} 31{com}.                 
.                 {c )-}
{txt}file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.000009 saved
(0 real changes made)
(0 real changes made)
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.00000a saved
(0 real changes made)
(0 real changes made)
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.00000b saved
(0 real changes made)
(0 real changes made)
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.00000c saved
(0 real changes made)
(0 real changes made)
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.00000d saved
(0 real changes made)
(0 real changes made)

{com}.                 
.                 e

{txt}end of do-file


{com}. do "/var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//SD44938.000000"
{txt}
{com}. 
.         
.         * Loop over DHS datasets
.         ********************************************************************************
. 
.         cap clear all
{txt}
{com}.         set scheme s1mono
{txt}
{com}. 
.         * Collecting the country and year of file
. 
.         filelist , dir("$rawloc") pat("*.DTA")
{res}{txt}Number of files found = {res}2392
{txt}
{com}.         
.         preserve
{txt}
{com}.         
.         filelist , dir("$rawloc") pat("*.dta")
{res}{txt}Number of files found = {res}2840
{txt}
{com}.         
.         * We drop special case from MOZ
.         
.         drop if regexm(filename,"MOZ_population_statistics")
{txt}(0 observations deleted)

{com}.         
.         tempfile file
{txt}
{com}.         sa "`file'"
{txt}file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.000002 saved

{com}.         
.         restore
{txt}
{com}.         
.         append using "`file'"
{txt}{p 0 7 2}
(note: variable
dirname was 
str101, now str258 to accommodate using data's values)
{p_end}
{p 0 7 2}
(note: variable
filename was 
str33, now str70 to accommodate using data's values)
{p_end}

{com}. 
.         * We only select the DHS
.         
.         gen kept = 0
{txt}
{com}.         replace kept = 1 if regexm(dirname,"DHS") | regexm(dirname,"MIS") | regexm(dirname,"KAP") | regexm(dirname,"AIS")
{txt}(2,695 real changes made)

{com}.         
.         keep if kept == 1
{txt}(2,537 observations deleted)

{com}.         drop if regexm(dirname,"_other_surveys")
{txt}(24 observations deleted)

{com}.         
.         split dirname, p("//")
{res}variables created as string: 
{txt}{col 1}dirname1{col 11}dirname2

{com}.         
.         keep dirname dirname2 filename
{txt}
{com}.         ren dirname2 temp
{res}{txt}
{com}.         split temp, p("/")
{res}variables created as string: 
{txt}{col 1}temp1{col 8}temp2{col 15}temp3{col 22}temp4{col 29}temp5{col 36}temp6{col 43}temp7{col 50}temp8

{com}.         
.         keep dirname filename temp1 temp2
{txt}
{com}.         ren temp1 country
{res}{txt}
{com}.         
.         replace temp2 = subinstr(temp2,"DHS_","",.)
{txt}(2,413 real changes made)

{com}.         replace temp2 = subinstr(temp2,"MIS_","",.)
{txt}(140 real changes made)

{com}.         replace temp2 = subinstr(temp2,"KAP_","",.)
{txt}(5 real changes made)

{com}.         replace temp2 = subinstr(temp2,"AIS_","",.)
{txt}(16 real changes made)

{com}.         ren temp2 temp
{res}{txt}
{com}.         split temp, p("-")
{res}variables created as string: 
{txt}{col 1}temp1{col 8}temp2

{com}.         drop temp temp2
{txt}
{com}.         ren temp1 year
{res}{txt}
{com}.         
.         * We load the excel information document
.         
.         preserve
{txt}
{com}.         
.         use "$comploc/survey_age_thresholds_dhs.dta", clear
{txt}
{com}.         
.         fre hiv_prob_men men_prob
{res}
{txt}hiv_prob_men
{txt}{hline 13}{hline 1}{c TT}{hline 44}
{txt}        {txt}      {c |}      Freq.    Percent      Valid       Cum.
{txt}{hline 13}{hline 1}{c +}{hline 44}
{txt}Valid   0     {c |}{res}        301      78.18      78.18      78.18
{txt}        .14   {c |}{res}          2       0.52       0.52      78.70
{txt}        .18   {c |}{res}          1       0.26       0.26      78.96
{txt}        .33   {c |}{res}         11       2.86       2.86      81.82
{txt}        .38   {c |}{res}          1       0.26       0.26      82.08
{txt}        .5    {c |}{res}         40      10.39      10.39      92.47
{txt}        .67   {c |}{res}          4       1.04       1.04      93.51
{txt}        1     {c |}{res}         25       6.49       6.49     100.00
{txt}        Total {c |}{res}        385     100.00     100.00           
{txt}{hline 13}{hline 1}{c BT}{hline 44}
{res}
{txt}men_prob {hline 2} men_prob
{txt}{hline 13}{hline 1}{c TT}{hline 44}
{txt}        {txt}      {c |}      Freq.    Percent      Valid       Cum.
{txt}{hline 13}{hline 1}{c +}{hline 44}
{txt}Valid   0     {c |}{res}        155      40.26      40.36      40.36
{txt}        .08   {c |}{res}          1       0.26       0.26      40.62
{txt}        .14   {c |}{res}          3       0.78       0.78      41.41
{txt}        .2    {c |}{res}          2       0.52       0.52      41.93
{txt}        .25   {c |}{res}          8       2.08       2.08      44.01
{txt}        .32   {c |}{res}          1       0.26       0.26      44.27
{txt}        .33   {c |}{res}         69      17.92      17.97      62.24
{txt}        .37   {c |}{res}          1       0.26       0.26      62.50
{txt}        .38   {c |}{res}          1       0.26       0.26      62.76
{txt}        .4    {c |}{res}          1       0.26       0.26      63.02
{txt}        .5    {c |}{res}         91      23.64      23.70      86.72
{txt}        .67   {c |}{res}          5       1.30       1.30      88.02
{txt}        1     {c |}{res}         46      11.95      11.98     100.00
{txt}        Total {c |}{res}        384      99.74     100.00           
{txt}Missing .     {c |}{res}          1       0.26                      
{txt}Total         {c |}{res}        385     100.00                      
{txt}{hline 13}{hline 1}{c BT}{hline 44}

{com}.         
.         gen MQsample_check=0
{txt}
{com}.         replace MQsample_check=1 if men_prob<1 & men_prob>0 & hiv_prob_men!=men_prob
{txt}(127 real changes made)

{com}.         tab MQsampl*

           {txt}{c |}    MQsample_check
  MQsample {c |}         0          1 {c |}     Total
{hline 11}{c +}{hline 22}{c +}{hline 10}
         0 {c |}{res}       202          7 {txt}{c |}{res}       209 
{txt}         1 {c |}{res}        56        120 {txt}{c |}{res}       176 
{txt}{hline 11}{c +}{hline 22}{c +}{hline 10}
     Total {c |}{res}       258        127 {txt}{c |}{res}       385 

{txt}
{com}.         
.         gen HIVsample = 0
{txt}
{com}.         replace HIVsample = 1 if hiv_prob_men<1 & hiv_prob_men>0
{txt}(59 real changes made)

{com}.         
.         keep country year women_lower men_lower women_upper men_upper MQsample BMsample HIVsample men_prob
{txt}
{com}.         
.         keep if MQsample == 1 | BMsample == 1
{txt}(195 observations deleted)

{com}. 
.         tostring year, replace
{txt}year was {res:int} now {res:str4}

{com}.         order country year, first
{txt}
{com}.                 
.         * Checking the number of surveys
. 
.         duplicates drop

{p 0 4}{txt}Duplicates in terms of {txt} all variables{p_end}

(0 observations are duplicates)

{com}.         duplicates tag country year, gen(dup)

{p 0 4}{txt}Duplicates in terms of {res} country year{p_end}
{txt}
{com}.         
.         count
  {res}190
{txt}
{com}.         
.         tempfile info
{txt}
{com}.         sa "`info'"
{txt}file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.000004 saved

{com}.         
.         restore
{txt}
{com}.         
.         merge m:1 country year using "`info'"
{res}
{txt}{col 5}Result{col 38}# of obs.
{col 5}{hline 41}
{col 5}not matched{col 30}{res}           1,244
{txt}{col 9}from master{col 30}{res}           1,243{txt}  (_merge==1)
{col 9}from using{col 30}{res}               1{txt}  (_merge==2)

{col 5}matched{col 30}{res}           1,428{txt}  (_merge==3)
{col 5}{hline 41}

{com}.         
.         drop if _merge == 2
{txt}(1 observation deleted)

{com}. 
.         ren _merge merge1
{res}{txt}
{com}.         
.         * n_women_sample
.         
.         preserve
{txt}
{com}.         
.         use "${c -(}comploc{c )-}dhs_census_pairs.dta", clear
{txt}
{com}.         
.         keep country year_dhs n_women_sample
{txt}
{com}. 
.         drop if n_women_sample == 0
{txt}(29 observations deleted)

{com}. 
.         ren year_dhs year
{res}{txt}
{com}.         tostring year, replace
{txt}year was {res:int} now {res:str4}

{com}.         
.         duplicates drop

{p 0 4}{txt}Duplicates in terms of {txt} all variables{p_end}

(0 observations are duplicates)

{com}.         
.         tempfile pairs
{txt}
{com}.         sa "`pairs'"
{txt}file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.000006 saved

{com}.         
.         restore
{txt}
{com}.         
.         merge m:1 country year using "`pairs'"
{res}
{txt}{col 5}Result{col 38}# of obs.
{col 5}{hline 41}
{col 5}not matched{col 30}{res}           2,223
{txt}{col 9}from master{col 30}{res}           2,223{txt}  (_merge==1)
{col 9}from using{col 30}{res}               0{txt}  (_merge==2)

{col 5}matched{col 30}{res}             448{txt}  (_merge==3)
{col 5}{hline 41}

{com}.         
.         drop _merge
{txt}
{com}.         
.         * Eligible
.         
.         preserve
{txt}
{com}.         
.         use "${c -(}comploc{c )-}census_dhs_pairs.dta", clear
{txt}
{com}.         
.         keep country year_dhs women_lower men_lower women_upper men_upper eligible
{txt}
{com}.         
.         foreach var in women_lower men_lower women_upper men_upper eligible {c -(}
{txt}  2{com}.         
.                 ren `var' `var'_p
{txt}  3{com}.                 
.                 {c )-}
{res}{txt}
{com}.         
.         drop if eligible == 0
{txt}(62 observations deleted)

{com}. 
.         ren year_dhs year
{res}{txt}
{com}.         tostring year, replace
{txt}year was {res:int} now {res:str4}

{com}.         
.         duplicates drop

{p 0 4}{txt}Duplicates in terms of {txt} all variables{p_end}

(0 observations are duplicates)

{com}.         drop if country == "BGD" & women_lower_p == "13"
{txt}(0 observations deleted)

{com}. 
.         tempfile pairs
{txt}
{com}.         sa "`pairs'"
{txt}file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.000008 saved

{com}.         
.         restore
{txt}
{com}.         
.         merge m:1 country year using "`pairs'"
{res}
{txt}{col 5}Result{col 38}# of obs.
{col 5}{hline 41}
{col 5}not matched{col 30}{res}           2,497
{txt}{col 9}from master{col 30}{res}           2,497{txt}  (_merge==1)
{col 9}from using{col 30}{res}               0{txt}  (_merge==2)

{col 5}matched{col 30}{res}             174{txt}  (_merge==3)
{col 5}{hline 41}

{com}. 
.         drop if _merge == 2
{txt}(0 observations deleted)

{com}. 
.         gen test = 0
{txt}
{com}.         replace test = 1 if MQsample == 1
{txt}(1,349 real changes made)

{com}.         drop if test == 0
{txt}(1,322 observations deleted)

{com}.         
.         keep country year
{txt}
{com}.         duplicates drop

{p 0 4}{txt}Duplicates in terms of {txt} all variables{p_end}

(1,173 observations deleted)

{com}.         
.         gen level = country + "_DHS_" + year + "_clean.dta"
{txt}
{com}.         
.         keep if country == "BEN"
{txt}(171 observations deleted)

{com}.         
.         levelsof level
{txt}`"BEN_DHS_1996_clean.dta"' `"BEN_DHS_2001_clean.dta"' `"BEN_DHS_2006_clean.dta"' `"BEN_DHS_2011_clean.dta"' `"BEN_DHS_2017_clean.dta"'

{com}. 
.         local lvlfiles `r(levels)'
{txt}
{com}.         
.         local z = 0
{txt}
{com}.         local z2 = 0
{txt}
{com}.         
.         foreach lvl of local lvlfiles {c -(}
{txt}  2{com}.         
.                 local temp : subinstr local lvl `"""' "", all
{txt}  3{com}.                 local lvl: subinstr local temp "'" "", all
{txt}  4{com}.                 
.                 use "$cleanloc/`lvl'", clear
{txt}  5{com}.         
.                 * We work on the supervisor and time
.                 
.                 qui fre supervisor_id
{txt}  6{com}.                 
.                 if `r(r_valid)' != 0 {c -(}
{txt}  7{com}.                 
.                         qui fre start_time_hha 
{txt}  8{com}.                         
.                                 if `r(r_valid)' != 0 {c -(}
{txt}  9{com}.                         
.                                         qui local z = `z' + 1
{txt} 10{com}.                                 
.                                         qui keep id01_cluster supervisor_id start_time_hha
{txt} 11{com}.                                         qui duplicates drop
{txt} 12{com}.                                         qui duplicates tag supervisor_id start_time_hha, gen(tag)
{txt} 13{com}.                                         qui keep supervisor_id tag
{txt} 14{com}.                                         qui duplicates drop
{txt} 15{com}.                                         qui byso supervisor_id: egen num_cluster_sametime = max(tag)
{txt} 16{com}.                                         qui keep supervisor_id num_cluster_sametime
{txt} 17{com}.                                         qui duplicates drop
{txt} 18{com}.                                         
.                                         gen file = "`lvl'"
{txt} 19{com}.                                         order file, first
{txt} 20{com}.                                         
.                                         tempfile data`z'
{txt} 21{com}.                                         sa "`data`z''"
{txt} 22{com}.                                         
.                                         {c )-}
{txt} 23{com}.                                         
.                                         {c )-}
{txt} 24{com}.                                         
.                 * We work on the enumerator
.                 
.                 use "$cleanloc/`lvl'", clear
{txt} 25{com}.                 
.                 cap gen enum_id_mn = .
{txt} 26{com}.                 cap gen enum_id_wm = .
{txt} 27{com}.                 
.                 keep id01_cluster supervisor_id enumerator_hha enum_id_mn enum_id_wm start_time_hha
{txt} 28{com}.                 
.                 replace enumerator_hha = enum_id_mn if !missing(enum_id_mn) & missing(enumerator_hha)
{txt} 29{com}.                 replace enumerator_hha = enum_id_wm if !missing(enum_id_wm) & missing(enumerator_hha)
{txt} 30{com}.                 
.                 qui fre supervisor_id
{txt} 31{com}.                 
.                 if `r(r_valid)' != 0 {c -(}
{txt} 32{com}.                 
.                         qui fre start_time_hha 
{txt} 33{com}.                         
.                                 if `r(r_valid)' != 0 {c -(}
{txt} 34{com}.                 
.                                         qui fre enumerator_hha
{txt} 35{com}.                                                 
.                                                 if `r(r_valid)' != 0 {c -(}
{txt} 36{com}.                                                 
.                                                         local z2 = `z2' + 1
{txt} 37{com}.                                                 
.                                                         qui byso supervisor_id enumerator_hha: egen last_day_enum = max(start_time_hha)
{txt} 38{com}.                                                         qui byso supervisor_id: egen last_day_team = max(start_time_hha)
{txt} 39{com}.                                                         
.                                                         qui gen diff = last_day_team - last_day_enum
{txt} 40{com}.                                                         
.                                                         qui gen fired_1day = (diff >= 2)
{txt} 41{com}.                                                         qui replace fired_1day = . if missing(diff)
{txt} 42{com}.                                                         
.                                                         qui gen fired_2days = (diff >= 3)
{txt} 43{com}.                                                         qui replace fired_2days = . if missing(diff)
{txt} 44{com}.                                                         
.                                                         qui gen fired_3days = (diff >= 4)
{txt} 45{com}.                                                         qui replace fired_3days = . if missing(diff)
{txt} 46{com}.                                                         
.                                                         qui keep enumerator_hha start_time_hha fired_1day fired_2days fired_3days
{txt} 47{com}.                                                         qui duplicates drop
{txt} 48{com}.                                                         
.                                                         duplicates drop
{txt} 49{com}.                                                         
.                                                         qui sum fired_1day
{txt} 50{com}.                                                         qui gen pct_fired_1day = `r(mean)'
{txt} 51{com}.                                                         
.                                                         qui sum fired_2days
{txt} 52{com}.                                                         qui gen pct_fired_2days = `r(mean)'
{txt} 53{com}.                                                         
.                                                         qui sum fired_3days
{txt} 54{com}.                                                         qui gen pct_fired_3days = `r(mean)'
{txt} 55{com}.                                                         
.                                                         gen file = "`lvl'"
{txt} 56{com}.                                                         order file, first
{txt} 57{com}.                                                         
.                                                         tempfile sdata`z'
{txt} 58{com}.                                                         sa "`sdata`z''"
{txt} 59{com}.                                         
.                                                         {c )-}
{txt} 60{com}.                                                         
.                                                 {c )-}
{txt} 61{com}.                                         
.                                         {c )-}
{txt} 62{com}.                         
.                                 {c )-}
{txt}file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.000009 saved
(0 real changes made)
(0 real changes made)

{p 0 4}{txt}Duplicates in terms of {txt} all variables{p_end}

(0 observations are duplicates)
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.00000a saved
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.00000b saved
(0 real changes made)
(0 real changes made)

{p 0 4}{txt}Duplicates in terms of {txt} all variables{p_end}

(0 observations are duplicates)
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.00000c saved
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.00000d saved
(0 real changes made)
(0 real changes made)

{p 0 4}{txt}Duplicates in terms of {txt} all variables{p_end}

(0 observations are duplicates)
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.00000e saved
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.00000f saved
(0 real changes made)
(0 real changes made)

{p 0 4}{txt}Duplicates in terms of {txt} all variables{p_end}

(0 observations are duplicates)
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.00000g saved
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.00000h saved
(0 real changes made)
(0 real changes made)

{p 0 4}{txt}Duplicates in terms of {txt} all variables{p_end}

(0 observations are duplicates)
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.00000i saved

{com}.                         
.                 use "`data1'", clear
{txt}
{com}.                 
.                 forvalues x = 2/`z' {c -(}
{txt}  2{com}.                 
.                         append using "`data`x''"
{txt}  3{com}.                         
.                         {c )-}
{txt}
{com}.                         
.                 export excel using "$comploc/supervisor_data.xlsx", sheet("by_cluster") sheetmod first(var)
{res}{txt}file /Users/fredericcochinard/Dropbox/Age bunching/Data/compiled//supervisor_data.xlsx saved

{com}.                 
.                 use "`sdata1'", clear
{txt}
{com}.                 
.                 forvalues x = 2/`z2' {c -(}
{txt}  2{com}.                 
.                         append using "`sdata`x''"
{txt}  3{com}.                         
.                         {c )-}
{txt}
{com}.                         
.                 export excel using "$comploc/supervisor_data.xlsx", sheet("fired_ratio") sheetmod first(var)
{res}{txt}file /Users/fredericcochinard/Dropbox/Age bunching/Data/compiled//supervisor_data.xlsx saved

{com}.                 
. 
{txt}end of do-file

{com}. do "/var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//SD44938.000000"
{txt}
{com}. 
.         
.         * Loop over DHS datasets
.         ********************************************************************************
. 
.         cap clear all
{txt}
{com}.         set scheme s1mono
{txt}
{com}. 
.         * Collecting the country and year of file
. 
.         filelist , dir("$rawloc") pat("*.DTA")
{res}{txt}Number of files found = {res}2392
{txt}
{com}.         
.         preserve
{txt}
{com}.         
.         filelist , dir("$rawloc") pat("*.dta")
{res}{txt}Number of files found = {res}2840
{txt}
{com}.         
.         * We drop special case from MOZ
.         
.         drop if regexm(filename,"MOZ_population_statistics")
{txt}(0 observations deleted)

{com}.         
.         tempfile file
{txt}
{com}.         sa "`file'"
{txt}file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.000002 saved

{com}.         
.         restore
{txt}
{com}.         
.         append using "`file'"
{txt}{p 0 7 2}
(note: variable
dirname was 
str101, now str258 to accommodate using data's values)
{p_end}
{p 0 7 2}
(note: variable
filename was 
str33, now str70 to accommodate using data's values)
{p_end}

{com}. 
.         * We only select the DHS
.         
.         gen kept = 0
{txt}
{com}.         replace kept = 1 if regexm(dirname,"DHS") | regexm(dirname,"MIS") | regexm(dirname,"KAP") | regexm(dirname,"AIS")
{txt}(2,695 real changes made)

{com}.         
.         keep if kept == 1
{txt}(2,537 observations deleted)

{com}.         drop if regexm(dirname,"_other_surveys")
{txt}(24 observations deleted)

{com}.         
.         split dirname, p("//")
{res}variables created as string: 
{txt}{col 1}dirname1{col 11}dirname2

{com}.         
.         keep dirname dirname2 filename
{txt}
{com}.         ren dirname2 temp
{res}{txt}
{com}.         split temp, p("/")
{res}variables created as string: 
{txt}{col 1}temp1{col 8}temp2{col 15}temp3{col 22}temp4{col 29}temp5{col 36}temp6{col 43}temp7{col 50}temp8

{com}.         
.         keep dirname filename temp1 temp2
{txt}
{com}.         ren temp1 country
{res}{txt}
{com}.         
.         replace temp2 = subinstr(temp2,"DHS_","",.)
{txt}(2,413 real changes made)

{com}.         replace temp2 = subinstr(temp2,"MIS_","",.)
{txt}(140 real changes made)

{com}.         replace temp2 = subinstr(temp2,"KAP_","",.)
{txt}(5 real changes made)

{com}.         replace temp2 = subinstr(temp2,"AIS_","",.)
{txt}(16 real changes made)

{com}.         ren temp2 temp
{res}{txt}
{com}.         split temp, p("-")
{res}variables created as string: 
{txt}{col 1}temp1{col 8}temp2

{com}.         drop temp temp2
{txt}
{com}.         ren temp1 year
{res}{txt}
{com}.         
.         * We load the excel information document
.         
.         preserve
{txt}
{com}.         
.         use "$comploc/survey_age_thresholds_dhs.dta", clear
{txt}
{com}.         
.         fre hiv_prob_men men_prob
{res}
{txt}hiv_prob_men
{txt}{hline 13}{hline 1}{c TT}{hline 44}
{txt}        {txt}      {c |}      Freq.    Percent      Valid       Cum.
{txt}{hline 13}{hline 1}{c +}{hline 44}
{txt}Valid   0     {c |}{res}        301      78.18      78.18      78.18
{txt}        .14   {c |}{res}          2       0.52       0.52      78.70
{txt}        .18   {c |}{res}          1       0.26       0.26      78.96
{txt}        .33   {c |}{res}         11       2.86       2.86      81.82
{txt}        .38   {c |}{res}          1       0.26       0.26      82.08
{txt}        .5    {c |}{res}         40      10.39      10.39      92.47
{txt}        .67   {c |}{res}          4       1.04       1.04      93.51
{txt}        1     {c |}{res}         25       6.49       6.49     100.00
{txt}        Total {c |}{res}        385     100.00     100.00           
{txt}{hline 13}{hline 1}{c BT}{hline 44}
{res}
{txt}men_prob {hline 2} men_prob
{txt}{hline 13}{hline 1}{c TT}{hline 44}
{txt}        {txt}      {c |}      Freq.    Percent      Valid       Cum.
{txt}{hline 13}{hline 1}{c +}{hline 44}
{txt}Valid   0     {c |}{res}        155      40.26      40.36      40.36
{txt}        .08   {c |}{res}          1       0.26       0.26      40.62
{txt}        .14   {c |}{res}          3       0.78       0.78      41.41
{txt}        .2    {c |}{res}          2       0.52       0.52      41.93
{txt}        .25   {c |}{res}          8       2.08       2.08      44.01
{txt}        .32   {c |}{res}          1       0.26       0.26      44.27
{txt}        .33   {c |}{res}         69      17.92      17.97      62.24
{txt}        .37   {c |}{res}          1       0.26       0.26      62.50
{txt}        .38   {c |}{res}          1       0.26       0.26      62.76
{txt}        .4    {c |}{res}          1       0.26       0.26      63.02
{txt}        .5    {c |}{res}         91      23.64      23.70      86.72
{txt}        .67   {c |}{res}          5       1.30       1.30      88.02
{txt}        1     {c |}{res}         46      11.95      11.98     100.00
{txt}        Total {c |}{res}        384      99.74     100.00           
{txt}Missing .     {c |}{res}          1       0.26                      
{txt}Total         {c |}{res}        385     100.00                      
{txt}{hline 13}{hline 1}{c BT}{hline 44}

{com}.         
.         gen MQsample_check=0
{txt}
{com}.         replace MQsample_check=1 if men_prob<1 & men_prob>0 & hiv_prob_men!=men_prob
{txt}(127 real changes made)

{com}.         tab MQsampl*

           {txt}{c |}    MQsample_check
  MQsample {c |}         0          1 {c |}     Total
{hline 11}{c +}{hline 22}{c +}{hline 10}
         0 {c |}{res}       202          7 {txt}{c |}{res}       209 
{txt}         1 {c |}{res}        56        120 {txt}{c |}{res}       176 
{txt}{hline 11}{c +}{hline 22}{c +}{hline 10}
     Total {c |}{res}       258        127 {txt}{c |}{res}       385 

{txt}
{com}.         
.         gen HIVsample = 0
{txt}
{com}.         replace HIVsample = 1 if hiv_prob_men<1 & hiv_prob_men>0
{txt}(59 real changes made)

{com}.         
.         keep country year women_lower men_lower women_upper men_upper MQsample BMsample HIVsample men_prob
{txt}
{com}.         
.         keep if MQsample == 1 | BMsample == 1
{txt}(195 observations deleted)

{com}. 
.         tostring year, replace
{txt}year was {res:int} now {res:str4}

{com}.         order country year, first
{txt}
{com}.                 
.         * Checking the number of surveys
. 
.         duplicates drop

{p 0 4}{txt}Duplicates in terms of {txt} all variables{p_end}

(0 observations are duplicates)

{com}.         duplicates tag country year, gen(dup)

{p 0 4}{txt}Duplicates in terms of {res} country year{p_end}
{txt}
{com}.         
.         count
  {res}190
{txt}
{com}.         
.         tempfile info
{txt}
{com}.         sa "`info'"
{txt}file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.000004 saved

{com}.         
.         restore
{txt}
{com}.         
.         merge m:1 country year using "`info'"
{res}
{txt}{col 5}Result{col 38}# of obs.
{col 5}{hline 41}
{col 5}not matched{col 30}{res}           1,244
{txt}{col 9}from master{col 30}{res}           1,243{txt}  (_merge==1)
{col 9}from using{col 30}{res}               1{txt}  (_merge==2)

{col 5}matched{col 30}{res}           1,428{txt}  (_merge==3)
{col 5}{hline 41}

{com}.         
.         drop if _merge == 2
{txt}(1 observation deleted)

{com}. 
.         ren _merge merge1
{res}{txt}
{com}.         
.         * n_women_sample
.         
.         preserve
{txt}
{com}.         
.         use "${c -(}comploc{c )-}dhs_census_pairs.dta", clear
{txt}
{com}.         
.         keep country year_dhs n_women_sample
{txt}
{com}. 
.         drop if n_women_sample == 0
{txt}(29 observations deleted)

{com}. 
.         ren year_dhs year
{res}{txt}
{com}.         tostring year, replace
{txt}year was {res:int} now {res:str4}

{com}.         
.         duplicates drop

{p 0 4}{txt}Duplicates in terms of {txt} all variables{p_end}

(0 observations are duplicates)

{com}.         
.         tempfile pairs
{txt}
{com}.         sa "`pairs'"
{txt}file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.000006 saved

{com}.         
.         restore
{txt}
{com}.         
.         merge m:1 country year using "`pairs'"
{res}
{txt}{col 5}Result{col 38}# of obs.
{col 5}{hline 41}
{col 5}not matched{col 30}{res}           2,223
{txt}{col 9}from master{col 30}{res}           2,223{txt}  (_merge==1)
{col 9}from using{col 30}{res}               0{txt}  (_merge==2)

{col 5}matched{col 30}{res}             448{txt}  (_merge==3)
{col 5}{hline 41}

{com}.         
.         drop _merge
{txt}
{com}.         
.         * Eligible
.         
.         preserve
{txt}
{com}.         
.         use "${c -(}comploc{c )-}census_dhs_pairs.dta", clear
{txt}
{com}.         
.         keep country year_dhs women_lower men_lower women_upper men_upper eligible
{txt}
{com}.         
.         foreach var in women_lower men_lower women_upper men_upper eligible {c -(}
{txt}  2{com}.         
.                 ren `var' `var'_p
{txt}  3{com}.                 
.                 {c )-}
{res}{txt}
{com}.         
.         drop if eligible == 0
{txt}(62 observations deleted)

{com}. 
.         ren year_dhs year
{res}{txt}
{com}.         tostring year, replace
{txt}year was {res:int} now {res:str4}

{com}.         
.         duplicates drop

{p 0 4}{txt}Duplicates in terms of {txt} all variables{p_end}

(0 observations are duplicates)

{com}.         drop if country == "BGD" & women_lower_p == "13"
{txt}(0 observations deleted)

{com}. 
.         tempfile pairs
{txt}
{com}.         sa "`pairs'"
{txt}file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.000008 saved

{com}.         
.         restore
{txt}
{com}.         
.         merge m:1 country year using "`pairs'"
{res}
{txt}{col 5}Result{col 38}# of obs.
{col 5}{hline 41}
{col 5}not matched{col 30}{res}           2,497
{txt}{col 9}from master{col 30}{res}           2,497{txt}  (_merge==1)
{col 9}from using{col 30}{res}               0{txt}  (_merge==2)

{col 5}matched{col 30}{res}             174{txt}  (_merge==3)
{col 5}{hline 41}

{com}. 
.         drop if _merge == 2
{txt}(0 observations deleted)

{com}. 
.         gen test = 0
{txt}
{com}.         replace test = 1 if MQsample == 1
{txt}(1,349 real changes made)

{com}.         drop if test == 0
{txt}(1,322 observations deleted)

{com}.         
.         keep country year
{txt}
{com}.         duplicates drop

{p 0 4}{txt}Duplicates in terms of {txt} all variables{p_end}

(1,173 observations deleted)

{com}.         
.         gen level = country + "_DHS_" + year + "_clean.dta"
{txt}
{com}.         
.         keep if country == "BEN"
{txt}(171 observations deleted)

{com}.         
.         levelsof level
{txt}`"BEN_DHS_1996_clean.dta"' `"BEN_DHS_2001_clean.dta"' `"BEN_DHS_2006_clean.dta"' `"BEN_DHS_2011_clean.dta"' `"BEN_DHS_2017_clean.dta"'

{com}. 
.         local lvlfiles `r(levels)'
{txt}
{com}.         
.         local z = 0
{txt}
{com}.         local z2 = 0
{txt}
{com}.         
.         foreach lvl of local lvlfiles {c -(}
{txt}  2{com}.         
.                 local temp : subinstr local lvl `"""' "", all
{txt}  3{com}.                 local lvl: subinstr local temp "'" "", all
{txt}  4{com}.                 
.                 use "$cleanloc/`lvl'", clear
{txt}  5{com}.         
.                 * We work on the supervisor and time
.                 
.                 qui fre supervisor_id
{txt}  6{com}.                 
.                 if `r(r_valid)' != 0 {c -(}
{txt}  7{com}.                 
.                         qui fre start_time_hha 
{txt}  8{com}.                         
.                                 if `r(r_valid)' != 0 {c -(}
{txt}  9{com}.                         
.                                         qui local z = `z' + 1
{txt} 10{com}.                                 
.                                         qui keep id01_cluster supervisor_id start_time_hha
{txt} 11{com}.                                         qui duplicates drop
{txt} 12{com}.                                         qui duplicates tag supervisor_id start_time_hha, gen(tag)
{txt} 13{com}.                                         qui keep supervisor_id tag
{txt} 14{com}.                                         qui duplicates drop
{txt} 15{com}.                                         qui byso supervisor_id: egen num_cluster_sametime = max(tag)
{txt} 16{com}.                                         qui keep supervisor_id num_cluster_sametime
{txt} 17{com}.                                         qui duplicates drop
{txt} 18{com}.                                         
.                                         gen file = "`lvl'"
{txt} 19{com}.                                         order file, first
{txt} 20{com}.                                         
.                                         tempfile data`z'
{txt} 21{com}.                                         sa "`data`z''"
{txt} 22{com}.                                         
.                                         {c )-}
{txt} 23{com}.                                         
.                                         {c )-}
{txt} 24{com}.                                         
.                 * We work on the enumerator
.                 
.                 use "$cleanloc/`lvl'", clear
{txt} 25{com}.                 
.                 cap gen enum_id_mn = .
{txt} 26{com}.                 cap gen enum_id_wm = .
{txt} 27{com}.                 
.                 keep id01_cluster supervisor_id enumerator_hha enum_id_mn enum_id_wm start_time_hha
{txt} 28{com}.                 
.                 replace enumerator_hha = enum_id_mn if !missing(enum_id_mn) & missing(enumerator_hha)
{txt} 29{com}.                 replace enumerator_hha = enum_id_wm if !missing(enum_id_wm) & missing(enumerator_hha)
{txt} 30{com}.                 
.                 qui fre supervisor_id
{txt} 31{com}.                 
.                 if `r(r_valid)' != 0 {c -(}
{txt} 32{com}.                 
.                         qui fre start_time_hha 
{txt} 33{com}.                         
.                                 if `r(r_valid)' != 0 {c -(}
{txt} 34{com}.                 
.                                         qui fre enumerator_hha
{txt} 35{com}.                                                 
.                                                 if `r(r_valid)' != 0 {c -(}
{txt} 36{com}.                                                 
.                                                         local z2 = `z2' + 1
{txt} 37{com}.                                                 
.                                                         qui byso supervisor_id enumerator_hha: egen last_day_enum = max(start_time_hha)
{txt} 38{com}.                                                         qui byso supervisor_id: egen last_day_team = max(start_time_hha)
{txt} 39{com}.                                                         
.                                                         qui gen diff = last_day_team - last_day_enum
{txt} 40{com}.                                                         
.                                                         qui gen fired_1day = (diff >= 2)
{txt} 41{com}.                                                         qui replace fired_1day = . if missing(diff)
{txt} 42{com}.                                                         
.                                                         qui gen fired_2days = (diff >= 3)
{txt} 43{com}.                                                         qui replace fired_2days = . if missing(diff)
{txt} 44{com}.                                                         
.                                                         qui gen fired_3days = (diff >= 4)
{txt} 45{com}.                                                         qui replace fired_3days = . if missing(diff)
{txt} 46{com}.                                                         
.                                                         qui keep enumerator_hha fired_1day fired_2days fired_3days
{txt} 47{com}.                                                         qui duplicates drop
{txt} 48{com}.                                                         
.                                                         duplicates drop
{txt} 49{com}.                                                         
.                                                         qui sum fired_1day
{txt} 50{com}.                                                         qui gen pct_fired_1day = `r(mean)'
{txt} 51{com}.                                                         
.                                                         qui sum fired_2days
{txt} 52{com}.                                                         qui gen pct_fired_2days = `r(mean)'
{txt} 53{com}.                                                         
.                                                         qui sum fired_3days
{txt} 54{com}.                                                         qui gen pct_fired_3days = `r(mean)'
{txt} 55{com}.                                                         
.                                                         gen file = "`lvl'"
{txt} 56{com}.                                                         order file, first
{txt} 57{com}.                                                         
.                                                         tempfile sdata`z'
{txt} 58{com}.                                                         sa "`sdata`z''"
{txt} 59{com}.                                         
.                                                         {c )-}
{txt} 60{com}.                                                         
.                                                 {c )-}
{txt} 61{com}.                                         
.                                         {c )-}
{txt} 62{com}.                         
.                                 {c )-}
{txt}file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.000009 saved
(0 real changes made)
(0 real changes made)

{p 0 4}{txt}Duplicates in terms of {txt} all variables{p_end}

(0 observations are duplicates)
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.00000a saved
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.00000b saved
(0 real changes made)
(0 real changes made)

{p 0 4}{txt}Duplicates in terms of {txt} all variables{p_end}

(0 observations are duplicates)
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.00000c saved
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.00000d saved
(0 real changes made)
(0 real changes made)

{p 0 4}{txt}Duplicates in terms of {txt} all variables{p_end}

(0 observations are duplicates)
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.00000e saved
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.00000f saved
(0 real changes made)
(0 real changes made)

{p 0 4}{txt}Duplicates in terms of {txt} all variables{p_end}

(0 observations are duplicates)
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.00000g saved
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.00000h saved
(0 real changes made)
(0 real changes made)

{p 0 4}{txt}Duplicates in terms of {txt} all variables{p_end}

(0 observations are duplicates)
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.00000i saved

{com}.                         
.                 use "`data1'", clear
{txt}
{com}.                 
.                 forvalues x = 2/`z' {c -(}
{txt}  2{com}.                 
.                         append using "`data`x''"
{txt}  3{com}.                         
.                         {c )-}
{txt}
{com}.                         
.                 export excel using "$comploc/supervisor_data.xlsx", sheet("by_cluster") sheetmod first(var)
{res}{txt}file /Users/fredericcochinard/Dropbox/Age bunching/Data/compiled//supervisor_data.xlsx saved

{com}.                 
.                 use "`sdata1'", clear
{txt}
{com}.                 
.                 forvalues x = 2/`z2' {c -(}
{txt}  2{com}.                 
.                         append using "`sdata`x''"
{txt}  3{com}.                         
.                         {c )-}
{txt}
{com}.                         
.                 export excel using "$comploc/supervisor_data.xlsx", sheet("fired_ratio") sheetmod first(var)
{res}{txt}file /Users/fredericcochinard/Dropbox/Age bunching/Data/compiled//supervisor_data.xlsx saved

{com}.                 
. 
{txt}end of do-file

{com}. do "/var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//SD44938.000000"
{txt}
{com}. 
.         
.         * Loop over DHS datasets
.         ********************************************************************************
. 
.         cap clear all
{txt}
{com}.         set scheme s1mono
{txt}
{com}. 
.         * Collecting the country and year of file
. 
.         filelist , dir("$rawloc") pat("*.DTA")
{res}{txt}Number of files found = {res}2392
{txt}
{com}.         
.         preserve
{txt}
{com}.         
.         filelist , dir("$rawloc") pat("*.dta")
{res}{txt}Number of files found = {res}2840
{txt}
{com}.         
.         * We drop special case from MOZ
.         
.         drop if regexm(filename,"MOZ_population_statistics")
{txt}(0 observations deleted)

{com}.         
.         tempfile file
{txt}
{com}.         sa "`file'"
{txt}file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.000002 saved

{com}.         
.         restore
{txt}
{com}.         
.         append using "`file'"
{txt}{p 0 7 2}
(note: variable
dirname was 
str101, now str258 to accommodate using data's values)
{p_end}
{p 0 7 2}
(note: variable
filename was 
str33, now str70 to accommodate using data's values)
{p_end}

{com}. 
.         * We only select the DHS
.         
.         gen kept = 0
{txt}
{com}.         replace kept = 1 if regexm(dirname,"DHS") | regexm(dirname,"MIS") | regexm(dirname,"KAP") | regexm(dirname,"AIS")
{txt}(2,695 real changes made)

{com}.         
.         keep if kept == 1
{txt}(2,537 observations deleted)

{com}.         drop if regexm(dirname,"_other_surveys")
{txt}(24 observations deleted)

{com}.         
.         split dirname, p("//")
{res}variables created as string: 
{txt}{col 1}dirname1{col 11}dirname2

{com}.         
.         keep dirname dirname2 filename
{txt}
{com}.         ren dirname2 temp
{res}{txt}
{com}.         split temp, p("/")
{res}variables created as string: 
{txt}{col 1}temp1{col 8}temp2{col 15}temp3{col 22}temp4{col 29}temp5{col 36}temp6{col 43}temp7{col 50}temp8

{com}.         
.         keep dirname filename temp1 temp2
{txt}
{com}.         ren temp1 country
{res}{txt}
{com}.         
.         replace temp2 = subinstr(temp2,"DHS_","",.)
{txt}(2,413 real changes made)

{com}.         replace temp2 = subinstr(temp2,"MIS_","",.)
{txt}(140 real changes made)

{com}.         replace temp2 = subinstr(temp2,"KAP_","",.)
{txt}(5 real changes made)

{com}.         replace temp2 = subinstr(temp2,"AIS_","",.)
{txt}(16 real changes made)

{com}.         ren temp2 temp
{res}{txt}
{com}.         split temp, p("-")
{res}variables created as string: 
{txt}{col 1}temp1{col 8}temp2

{com}.         drop temp temp2
{txt}
{com}.         ren temp1 year
{res}{txt}
{com}.         
.         * We load the excel information document
.         
.         preserve
{txt}
{com}.         
.         use "$comploc/survey_age_thresholds_dhs.dta", clear
{txt}
{com}.         
.         fre hiv_prob_men men_prob
{res}
{txt}hiv_prob_men
{txt}{hline 13}{hline 1}{c TT}{hline 44}
{txt}        {txt}      {c |}      Freq.    Percent      Valid       Cum.
{txt}{hline 13}{hline 1}{c +}{hline 44}
{txt}Valid   0     {c |}{res}        301      78.18      78.18      78.18
{txt}        .14   {c |}{res}          2       0.52       0.52      78.70
{txt}        .18   {c |}{res}          1       0.26       0.26      78.96
{txt}        .33   {c |}{res}         11       2.86       2.86      81.82
{txt}        .38   {c |}{res}          1       0.26       0.26      82.08
{txt}        .5    {c |}{res}         40      10.39      10.39      92.47
{txt}        .67   {c |}{res}          4       1.04       1.04      93.51
{txt}        1     {c |}{res}         25       6.49       6.49     100.00
{txt}        Total {c |}{res}        385     100.00     100.00           
{txt}{hline 13}{hline 1}{c BT}{hline 44}
{res}
{txt}men_prob {hline 2} men_prob
{txt}{hline 13}{hline 1}{c TT}{hline 44}
{txt}        {txt}      {c |}      Freq.    Percent      Valid       Cum.
{txt}{hline 13}{hline 1}{c +}{hline 44}
{txt}Valid   0     {c |}{res}        155      40.26      40.36      40.36
{txt}        .08   {c |}{res}          1       0.26       0.26      40.62
{txt}        .14   {c |}{res}          3       0.78       0.78      41.41
{txt}        .2    {c |}{res}          2       0.52       0.52      41.93
{txt}        .25   {c |}{res}          8       2.08       2.08      44.01
{txt}        .32   {c |}{res}          1       0.26       0.26      44.27
{txt}        .33   {c |}{res}         69      17.92      17.97      62.24
{txt}        .37   {c |}{res}          1       0.26       0.26      62.50
{txt}        .38   {c |}{res}          1       0.26       0.26      62.76
{txt}        .4    {c |}{res}          1       0.26       0.26      63.02
{txt}        .5    {c |}{res}         91      23.64      23.70      86.72
{txt}        .67   {c |}{res}          5       1.30       1.30      88.02
{txt}        1     {c |}{res}         46      11.95      11.98     100.00
{txt}        Total {c |}{res}        384      99.74     100.00           
{txt}Missing .     {c |}{res}          1       0.26                      
{txt}Total         {c |}{res}        385     100.00                      
{txt}{hline 13}{hline 1}{c BT}{hline 44}

{com}.         
.         gen MQsample_check=0
{txt}
{com}.         replace MQsample_check=1 if men_prob<1 & men_prob>0 & hiv_prob_men!=men_prob
{txt}(127 real changes made)

{com}.         tab MQsampl*

           {txt}{c |}    MQsample_check
  MQsample {c |}         0          1 {c |}     Total
{hline 11}{c +}{hline 22}{c +}{hline 10}
         0 {c |}{res}       202          7 {txt}{c |}{res}       209 
{txt}         1 {c |}{res}        56        120 {txt}{c |}{res}       176 
{txt}{hline 11}{c +}{hline 22}{c +}{hline 10}
     Total {c |}{res}       258        127 {txt}{c |}{res}       385 

{txt}
{com}.         
.         gen HIVsample = 0
{txt}
{com}.         replace HIVsample = 1 if hiv_prob_men<1 & hiv_prob_men>0
{txt}(59 real changes made)

{com}.         
.         keep country year women_lower men_lower women_upper men_upper MQsample BMsample HIVsample men_prob
{txt}
{com}.         
.         keep if MQsample == 1 | BMsample == 1
{txt}(195 observations deleted)

{com}. 
.         tostring year, replace
{txt}year was {res:int} now {res:str4}

{com}.         order country year, first
{txt}
{com}.                 
.         * Checking the number of surveys
. 
.         duplicates drop

{p 0 4}{txt}Duplicates in terms of {txt} all variables{p_end}

(0 observations are duplicates)

{com}.         duplicates tag country year, gen(dup)

{p 0 4}{txt}Duplicates in terms of {res} country year{p_end}
{txt}
{com}.         
.         count
  {res}190
{txt}
{com}.         
.         tempfile info
{txt}
{com}.         sa "`info'"
{txt}file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.000004 saved

{com}.         
.         restore
{txt}
{com}.         
.         merge m:1 country year using "`info'"
{res}
{txt}{col 5}Result{col 38}# of obs.
{col 5}{hline 41}
{col 5}not matched{col 30}{res}           1,244
{txt}{col 9}from master{col 30}{res}           1,243{txt}  (_merge==1)
{col 9}from using{col 30}{res}               1{txt}  (_merge==2)

{col 5}matched{col 30}{res}           1,428{txt}  (_merge==3)
{col 5}{hline 41}

{com}.         
.         drop if _merge == 2
{txt}(1 observation deleted)

{com}. 
.         ren _merge merge1
{res}{txt}
{com}.         
.         * n_women_sample
.         
.         preserve
{txt}
{com}.         
.         use "${c -(}comploc{c )-}dhs_census_pairs.dta", clear
{txt}
{com}.         
.         keep country year_dhs n_women_sample
{txt}
{com}. 
.         drop if n_women_sample == 0
{txt}(29 observations deleted)

{com}. 
.         ren year_dhs year
{res}{txt}
{com}.         tostring year, replace
{txt}year was {res:int} now {res:str4}

{com}.         
.         duplicates drop

{p 0 4}{txt}Duplicates in terms of {txt} all variables{p_end}

(0 observations are duplicates)

{com}.         
.         tempfile pairs
{txt}
{com}.         sa "`pairs'"
{txt}file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.000006 saved

{com}.         
.         restore
{txt}
{com}.         
.         merge m:1 country year using "`pairs'"
{res}
{txt}{col 5}Result{col 38}# of obs.
{col 5}{hline 41}
{col 5}not matched{col 30}{res}           2,223
{txt}{col 9}from master{col 30}{res}           2,223{txt}  (_merge==1)
{col 9}from using{col 30}{res}               0{txt}  (_merge==2)

{col 5}matched{col 30}{res}             448{txt}  (_merge==3)
{col 5}{hline 41}

{com}.         
.         drop _merge
{txt}
{com}.         
.         * Eligible
.         
.         preserve
{txt}
{com}.         
.         use "${c -(}comploc{c )-}census_dhs_pairs.dta", clear
{txt}
{com}.         
.         keep country year_dhs women_lower men_lower women_upper men_upper eligible
{txt}
{com}.         
.         foreach var in women_lower men_lower women_upper men_upper eligible {c -(}
{txt}  2{com}.         
.                 ren `var' `var'_p
{txt}  3{com}.                 
.                 {c )-}
{res}{txt}
{com}.         
.         drop if eligible == 0
{txt}(62 observations deleted)

{com}. 
.         ren year_dhs year
{res}{txt}
{com}.         tostring year, replace
{txt}year was {res:int} now {res:str4}

{com}.         
.         duplicates drop

{p 0 4}{txt}Duplicates in terms of {txt} all variables{p_end}

(0 observations are duplicates)

{com}.         drop if country == "BGD" & women_lower_p == "13"
{txt}(0 observations deleted)

{com}. 
.         tempfile pairs
{txt}
{com}.         sa "`pairs'"
{txt}file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.000008 saved

{com}.         
.         restore
{txt}
{com}.         
.         merge m:1 country year using "`pairs'"
{res}
{txt}{col 5}Result{col 38}# of obs.
{col 5}{hline 41}
{col 5}not matched{col 30}{res}           2,497
{txt}{col 9}from master{col 30}{res}           2,497{txt}  (_merge==1)
{col 9}from using{col 30}{res}               0{txt}  (_merge==2)

{col 5}matched{col 30}{res}             174{txt}  (_merge==3)
{col 5}{hline 41}

{com}. 
.         drop if _merge == 2
{txt}(0 observations deleted)

{com}. 
.         gen test = 0
{txt}
{com}.         replace test = 1 if MQsample == 1
{txt}(1,349 real changes made)

{com}.         drop if test == 0
{txt}(1,322 observations deleted)

{com}.         
.         keep country year
{txt}
{com}.         duplicates drop

{p 0 4}{txt}Duplicates in terms of {txt} all variables{p_end}

(1,173 observations deleted)

{com}.         
.         gen level = country + "_DHS_" + year + "_clean.dta"
{txt}
{com}.         
.         keep if country == "BEN"
{txt}(171 observations deleted)

{com}.         
.         levelsof level
{txt}`"BEN_DHS_1996_clean.dta"' `"BEN_DHS_2001_clean.dta"' `"BEN_DHS_2006_clean.dta"' `"BEN_DHS_2011_clean.dta"' `"BEN_DHS_2017_clean.dta"'

{com}. 
.         local lvlfiles `r(levels)'
{txt}
{com}.         
.         local z = 0
{txt}
{com}.         local z2 = 0
{txt}
{com}.         
.         foreach lvl of local lvlfiles {c -(}
{txt}  2{com}.         
.                 local temp : subinstr local lvl `"""' "", all
{txt}  3{com}.                 local lvl: subinstr local temp "'" "", all
{txt}  4{com}.                 
.                 use "$cleanloc/`lvl'", clear
{txt}  5{com}.         
.                 * We work on the supervisor and time
.                 
.                 qui fre supervisor_id
{txt}  6{com}.                 
.                 if `r(r_valid)' != 0 {c -(}
{txt}  7{com}.                 
.                         qui fre start_time_hha 
{txt}  8{com}.                         
.                                 if `r(r_valid)' != 0 {c -(}
{txt}  9{com}.                         
.                                         qui local z = `z' + 1
{txt} 10{com}.                                 
.                                         qui keep id01_cluster supervisor_id start_time_hha
{txt} 11{com}.                                         qui duplicates drop
{txt} 12{com}.                                         qui duplicates tag supervisor_id start_time_hha, gen(tag)
{txt} 13{com}.                                         qui keep supervisor_id tag
{txt} 14{com}.                                         qui duplicates drop
{txt} 15{com}.                                         qui byso supervisor_id: egen num_cluster_sametime = max(tag)
{txt} 16{com}.                                         qui keep supervisor_id num_cluster_sametime
{txt} 17{com}.                                         qui duplicates drop
{txt} 18{com}.                                         
.                                         gen file = "`lvl'"
{txt} 19{com}.                                         order file, first
{txt} 20{com}.                                         
.                                         tempfile data`z'
{txt} 21{com}.                                         sa "`data`z''"
{txt} 22{com}.                                         
.                                         {c )-}
{txt} 23{com}.                                         
.                                         {c )-}
{txt} 24{com}.                                         
.                 * We work on the enumerator
.                 
.                 use "$cleanloc/`lvl'", clear
{txt} 25{com}.                 
.                 cap gen enum_id_mn = .
{txt} 26{com}.                 cap gen enum_id_wm = .
{txt} 27{com}.                 
.                 keep id01_cluster supervisor_id enumerator_hha enum_id_mn enum_id_wm start_time_hha
{txt} 28{com}.                 
.                 replace enumerator_hha = enum_id_mn if !missing(enum_id_mn) & missing(enumerator_hha)
{txt} 29{com}.                 replace enumerator_hha = enum_id_wm if !missing(enum_id_wm) & missing(enumerator_hha)
{txt} 30{com}.                 
.                 qui fre supervisor_id
{txt} 31{com}.                 
.                 if `r(r_valid)' != 0 {c -(}
{txt} 32{com}.                 
.                         qui fre start_time_hha 
{txt} 33{com}.                         
.                                 if `r(r_valid)' != 0 {c -(}
{txt} 34{com}.                 
.                                         qui fre enumerator_hha
{txt} 35{com}.                                                 
.                                                 if `r(r_valid)' != 0 {c -(}
{txt} 36{com}.                                                 
.                                                         local z2 = `z2' + 1
{txt} 37{com}.                                                 
.                                                         qui byso supervisor_id enumerator_hha: egen last_day_enum = max(start_time_hha)
{txt} 38{com}.                                                         qui byso supervisor_id: egen last_day_team = max(start_time_hha)
{txt} 39{com}.                                                         
.                                                         qui gen diff = last_day_team - last_day_enum
{txt} 40{com}.                                                         
.                                                         qui gen fired_1day = (diff >= 2)
{txt} 41{com}.                                                         qui replace fired_1day = . if missing(diff)
{txt} 42{com}.                                                         
.                                                         qui gen fired_2days = (diff >= 3)
{txt} 43{com}.                                                         qui replace fired_2days = . if missing(diff)
{txt} 44{com}.                                                         
.                                                         qui gen fired_3days = (diff >= 4)
{txt} 45{com}.                                                         qui replace fired_3days = . if missing(diff)
{txt} 46{com}.                                                         
.                                                         {c )-}
{txt} 47{com}.                                                         
.                                                         {c )-}
{txt} 48{com}.                                                         
.                                                         {c )-}
{txt} 49{com}.                                                         
.                                                         {c )-}
{txt}file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.000009 saved
(0 real changes made)
(0 real changes made)
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.00000a saved
(0 real changes made)
(0 real changes made)
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.00000b saved
(0 real changes made)
(0 real changes made)
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.00000c saved
(0 real changes made)
(0 real changes made)
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.00000d saved
(0 real changes made)
(0 real changes made)

{com}.                                                         e

{txt}end of do-file


{com}. do "/var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//SD44938.000000"
{txt}
{com}. 
.         
.         * Loop over DHS datasets
.         ********************************************************************************
. 
.         cap clear all
{txt}
{com}.         set scheme s1mono
{txt}
{com}. 
.         * Collecting the country and year of file
. 
.         filelist , dir("$rawloc") pat("*.DTA")
{res}{txt}Number of files found = {res}2392
{txt}
{com}.         
.         preserve
{txt}
{com}.         
.         filelist , dir("$rawloc") pat("*.dta")
{res}{txt}Number of files found = {res}2840
{txt}
{com}.         
.         * We drop special case from MOZ
.         
.         drop if regexm(filename,"MOZ_population_statistics")
{txt}(0 observations deleted)

{com}.         
.         tempfile file
{txt}
{com}.         sa "`file'"
{txt}file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.000002 saved

{com}.         
.         restore
{txt}
{com}.         
.         append using "`file'"
{txt}{p 0 7 2}
(note: variable
dirname was 
str101, now str258 to accommodate using data's values)
{p_end}
{p 0 7 2}
(note: variable
filename was 
str33, now str70 to accommodate using data's values)
{p_end}

{com}. 
.         * We only select the DHS
.         
.         gen kept = 0
{txt}
{com}.         replace kept = 1 if regexm(dirname,"DHS") | regexm(dirname,"MIS") | regexm(dirname,"KAP") | regexm(dirname,"AIS")
{txt}(2,695 real changes made)

{com}.         
.         keep if kept == 1
{txt}(2,537 observations deleted)

{com}.         drop if regexm(dirname,"_other_surveys")
{txt}(24 observations deleted)

{com}.         
.         split dirname, p("//")
{res}variables created as string: 
{txt}{col 1}dirname1{col 11}dirname2

{com}.         
.         keep dirname dirname2 filename
{txt}
{com}.         ren dirname2 temp
{res}{txt}
{com}.         split temp, p("/")
{res}variables created as string: 
{txt}{col 1}temp1{col 8}temp2{col 15}temp3{col 22}temp4{col 29}temp5{col 36}temp6{col 43}temp7{col 50}temp8

{com}.         
.         keep dirname filename temp1 temp2
{txt}
{com}.         ren temp1 country
{res}{txt}
{com}.         
.         replace temp2 = subinstr(temp2,"DHS_","",.)
{txt}(2,413 real changes made)

{com}.         replace temp2 = subinstr(temp2,"MIS_","",.)
{txt}(140 real changes made)

{com}.         replace temp2 = subinstr(temp2,"KAP_","",.)
{txt}(5 real changes made)

{com}.         replace temp2 = subinstr(temp2,"AIS_","",.)
{txt}(16 real changes made)

{com}.         ren temp2 temp
{res}{txt}
{com}.         split temp, p("-")
{res}variables created as string: 
{txt}{col 1}temp1{col 8}temp2

{com}.         drop temp temp2
{txt}
{com}.         ren temp1 year
{res}{txt}
{com}.         
.         * We load the excel information document
.         
.         preserve
{txt}
{com}.         
.         use "$comploc/survey_age_thresholds_dhs.dta", clear
{txt}
{com}.         
.         fre hiv_prob_men men_prob
{res}
{txt}hiv_prob_men
{txt}{hline 13}{hline 1}{c TT}{hline 44}
{txt}        {txt}      {c |}      Freq.    Percent      Valid       Cum.
{txt}{hline 13}{hline 1}{c +}{hline 44}
{txt}Valid   0     {c |}{res}        301      78.18      78.18      78.18
{txt}        .14   {c |}{res}          2       0.52       0.52      78.70
{txt}        .18   {c |}{res}          1       0.26       0.26      78.96
{txt}        .33   {c |}{res}         11       2.86       2.86      81.82
{txt}        .38   {c |}{res}          1       0.26       0.26      82.08
{txt}        .5    {c |}{res}         40      10.39      10.39      92.47
{txt}        .67   {c |}{res}          4       1.04       1.04      93.51
{txt}        1     {c |}{res}         25       6.49       6.49     100.00
{txt}        Total {c |}{res}        385     100.00     100.00           
{txt}{hline 13}{hline 1}{c BT}{hline 44}
{res}
{txt}men_prob {hline 2} men_prob
{txt}{hline 13}{hline 1}{c TT}{hline 44}
{txt}        {txt}      {c |}      Freq.    Percent      Valid       Cum.
{txt}{hline 13}{hline 1}{c +}{hline 44}
{txt}Valid   0     {c |}{res}        155      40.26      40.36      40.36
{txt}        .08   {c |}{res}          1       0.26       0.26      40.62
{txt}        .14   {c |}{res}          3       0.78       0.78      41.41
{txt}        .2    {c |}{res}          2       0.52       0.52      41.93
{txt}        .25   {c |}{res}          8       2.08       2.08      44.01
{txt}        .32   {c |}{res}          1       0.26       0.26      44.27
{txt}        .33   {c |}{res}         69      17.92      17.97      62.24
{txt}        .37   {c |}{res}          1       0.26       0.26      62.50
{txt}        .38   {c |}{res}          1       0.26       0.26      62.76
{txt}        .4    {c |}{res}          1       0.26       0.26      63.02
{txt}        .5    {c |}{res}         91      23.64      23.70      86.72
{txt}        .67   {c |}{res}          5       1.30       1.30      88.02
{txt}        1     {c |}{res}         46      11.95      11.98     100.00
{txt}        Total {c |}{res}        384      99.74     100.00           
{txt}Missing .     {c |}{res}          1       0.26                      
{txt}Total         {c |}{res}        385     100.00                      
{txt}{hline 13}{hline 1}{c BT}{hline 44}

{com}.         
.         gen MQsample_check=0
{txt}
{com}.         replace MQsample_check=1 if men_prob<1 & men_prob>0 & hiv_prob_men!=men_prob
{txt}(127 real changes made)

{com}.         tab MQsampl*

           {txt}{c |}    MQsample_check
  MQsample {c |}         0          1 {c |}     Total
{hline 11}{c +}{hline 22}{c +}{hline 10}
         0 {c |}{res}       202          7 {txt}{c |}{res}       209 
{txt}         1 {c |}{res}        56        120 {txt}{c |}{res}       176 
{txt}{hline 11}{c +}{hline 22}{c +}{hline 10}
     Total {c |}{res}       258        127 {txt}{c |}{res}       385 

{txt}
{com}.         
.         gen HIVsample = 0
{txt}
{com}.         replace HIVsample = 1 if hiv_prob_men<1 & hiv_prob_men>0
{txt}(59 real changes made)

{com}.         
.         keep country year women_lower men_lower women_upper men_upper MQsample BMsample HIVsample men_prob
{txt}
{com}.         
.         keep if MQsample == 1 | BMsample == 1
{txt}(195 observations deleted)

{com}. 
.         tostring year, replace
{txt}year was {res:int} now {res:str4}

{com}.         order country year, first
{txt}
{com}.                 
.         * Checking the number of surveys
. 
.         duplicates drop

{p 0 4}{txt}Duplicates in terms of {txt} all variables{p_end}

(0 observations are duplicates)

{com}.         duplicates tag country year, gen(dup)

{p 0 4}{txt}Duplicates in terms of {res} country year{p_end}
{txt}
{com}.         
.         count
  {res}190
{txt}
{com}.         
.         tempfile info
{txt}
{com}.         sa "`info'"
{txt}file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.000004 saved

{com}.         
.         restore
{txt}
{com}.         
.         merge m:1 country year using "`info'"
{res}
{txt}{col 5}Result{col 38}# of obs.
{col 5}{hline 41}
{col 5}not matched{col 30}{res}           1,244
{txt}{col 9}from master{col 30}{res}           1,243{txt}  (_merge==1)
{col 9}from using{col 30}{res}               1{txt}  (_merge==2)

{col 5}matched{col 30}{res}           1,428{txt}  (_merge==3)
{col 5}{hline 41}

{com}.         
.         drop if _merge == 2
{txt}(1 observation deleted)

{com}. 
.         ren _merge merge1
{res}{txt}
{com}.         
.         * n_women_sample
.         
.         preserve
{txt}
{com}.         
.         use "${c -(}comploc{c )-}dhs_census_pairs.dta", clear
{txt}
{com}.         
.         keep country year_dhs n_women_sample
{txt}
{com}. 
.         drop if n_women_sample == 0
{txt}(29 observations deleted)

{com}. 
.         ren year_dhs year
{res}{txt}
{com}.         tostring year, replace
{txt}year was {res:int} now {res:str4}

{com}.         
.         duplicates drop

{p 0 4}{txt}Duplicates in terms of {txt} all variables{p_end}

(0 observations are duplicates)

{com}.         
.         tempfile pairs
{txt}
{com}.         sa "`pairs'"
{txt}file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.000006 saved

{com}.         
.         restore
{txt}
{com}.         
.         merge m:1 country year using "`pairs'"
{res}
{txt}{col 5}Result{col 38}# of obs.
{col 5}{hline 41}
{col 5}not matched{col 30}{res}           2,223
{txt}{col 9}from master{col 30}{res}           2,223{txt}  (_merge==1)
{col 9}from using{col 30}{res}               0{txt}  (_merge==2)

{col 5}matched{col 30}{res}             448{txt}  (_merge==3)
{col 5}{hline 41}

{com}.         
.         drop _merge
{txt}
{com}.         
.         * Eligible
.         
.         preserve
{txt}
{com}.         
.         use "${c -(}comploc{c )-}census_dhs_pairs.dta", clear
{txt}
{com}.         
.         keep country year_dhs women_lower men_lower women_upper men_upper eligible
{txt}
{com}.         
.         foreach var in women_lower men_lower women_upper men_upper eligible {c -(}
{txt}  2{com}.         
.                 ren `var' `var'_p
{txt}  3{com}.                 
.                 {c )-}
{res}{txt}
{com}.         
.         drop if eligible == 0
{txt}(62 observations deleted)

{com}. 
.         ren year_dhs year
{res}{txt}
{com}.         tostring year, replace
{txt}year was {res:int} now {res:str4}

{com}.         
.         duplicates drop

{p 0 4}{txt}Duplicates in terms of {txt} all variables{p_end}

(0 observations are duplicates)

{com}.         drop if country == "BGD" & women_lower_p == "13"
{txt}(0 observations deleted)

{com}. 
.         tempfile pairs
{txt}
{com}.         sa "`pairs'"
{txt}file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.000008 saved

{com}.         
.         restore
{txt}
{com}.         
.         merge m:1 country year using "`pairs'"
{res}
{txt}{col 5}Result{col 38}# of obs.
{col 5}{hline 41}
{col 5}not matched{col 30}{res}           2,497
{txt}{col 9}from master{col 30}{res}           2,497{txt}  (_merge==1)
{col 9}from using{col 30}{res}               0{txt}  (_merge==2)

{col 5}matched{col 30}{res}             174{txt}  (_merge==3)
{col 5}{hline 41}

{com}. 
.         drop if _merge == 2
{txt}(0 observations deleted)

{com}. 
.         gen test = 0
{txt}
{com}.         replace test = 1 if MQsample == 1
{txt}(1,349 real changes made)

{com}.         drop if test == 0
{txt}(1,322 observations deleted)

{com}.         
.         keep country year
{txt}
{com}.         duplicates drop

{p 0 4}{txt}Duplicates in terms of {txt} all variables{p_end}

(1,173 observations deleted)

{com}.         
.         gen level = country + "_DHS_" + year + "_clean.dta"
{txt}
{com}.         
.         keep if country == "BEN"
{txt}(171 observations deleted)

{com}.         
.         levelsof level
{txt}`"BEN_DHS_1996_clean.dta"' `"BEN_DHS_2001_clean.dta"' `"BEN_DHS_2006_clean.dta"' `"BEN_DHS_2011_clean.dta"' `"BEN_DHS_2017_clean.dta"'

{com}. 
.         local lvlfiles `r(levels)'
{txt}
{com}.         
.         local z = 0
{txt}
{com}.         local z2 = 0
{txt}
{com}.         
.         foreach lvl of local lvlfiles {c -(}
{txt}  2{com}.         
.                 local temp : subinstr local lvl `"""' "", all
{txt}  3{com}.                 local lvl: subinstr local temp "'" "", all
{txt}  4{com}.                 
.                 use "$cleanloc/`lvl'", clear
{txt}  5{com}.         
.                 * We work on the supervisor and time
.                 
.                 qui fre supervisor_id
{txt}  6{com}.                 
.                 if `r(r_valid)' != 0 {c -(}
{txt}  7{com}.                 
.                         qui fre start_time_hha 
{txt}  8{com}.                         
.                                 if `r(r_valid)' != 0 {c -(}
{txt}  9{com}.                         
.                                         qui local z = `z' + 1
{txt} 10{com}.                                 
.                                         qui keep id01_cluster supervisor_id start_time_hha
{txt} 11{com}.                                         qui duplicates drop
{txt} 12{com}.                                         qui duplicates tag supervisor_id start_time_hha, gen(tag)
{txt} 13{com}.                                         qui keep supervisor_id tag
{txt} 14{com}.                                         qui duplicates drop
{txt} 15{com}.                                         qui byso supervisor_id: egen num_cluster_sametime = max(tag)
{txt} 16{com}.                                         qui keep supervisor_id num_cluster_sametime
{txt} 17{com}.                                         qui duplicates drop
{txt} 18{com}.                                         
.                                         gen file = "`lvl'"
{txt} 19{com}.                                         order file, first
{txt} 20{com}.                                         
.                                         tempfile data`z'
{txt} 21{com}.                                         sa "`data`z''"
{txt} 22{com}.                                         
.                                         {c )-}
{txt} 23{com}.                                         
.                                         {c )-}
{txt} 24{com}.                                         
.                 * We work on the enumerator
.                 
.                 use "$cleanloc/`lvl'", clear
{txt} 25{com}.                 
.                 cap gen enum_id_mn = .
{txt} 26{com}.                 cap gen enum_id_wm = .
{txt} 27{com}.                 
.                 keep id01_cluster supervisor_id enumerator_hha enum_id_mn enum_id_wm start_time_hha
{txt} 28{com}.                 
.                 replace enumerator_hha = enum_id_mn if !missing(enum_id_mn) & missing(enumerator_hha)
{txt} 29{com}.                 replace enumerator_hha = enum_id_wm if !missing(enum_id_wm) & missing(enumerator_hha)
{txt} 30{com}.                 
.                 qui fre supervisor_id
{txt} 31{com}.                 
.                 if `r(r_valid)' != 0 {c -(}
{txt} 32{com}.                 
.                         qui fre start_time_hha 
{txt} 33{com}.                         
.                                 if `r(r_valid)' != 0 {c -(}
{txt} 34{com}.                 
.                                         qui fre enumerator_hha
{txt} 35{com}.                                                 
.                                                 if `r(r_valid)' != 0 {c -(}
{txt} 36{com}.                                                 
.                                                         local z2 = `z2' + 1
{txt} 37{com}.                                                 
.                                                         qui byso id01_cluster supervisor_id enumerator_hha: egen last_day_enum = max(start_time_hha)
{txt} 38{com}.                                                         qui byso id01_cluster supervisor_id: egen last_day_team = max(start_time_hha)
{txt} 39{com}.                                                         
.                                                         qui gen diff = last_day_team - last_day_enum
{txt} 40{com}.                                                         
.                                                         qui gen fired_1day = (diff >= 2)
{txt} 41{com}.                                                         qui replace fired_1day = . if missing(diff)
{txt} 42{com}.                                                         
.                                                         qui gen fired_2days = (diff >= 3)
{txt} 43{com}.                                                         qui replace fired_2days = . if missing(diff)
{txt} 44{com}.                                                         
.                                                         qui gen fired_3days = (diff >= 4)
{txt} 45{com}.                                                         qui replace fired_3days = . if missing(diff)
{txt} 46{com}.                                                         
.                                                         {c )-}
{txt} 47{com}.                                                         
.                                                         {c )-}
{txt} 48{com}.                                                         
.                                                         {c )-}
{txt} 49{com}.                                                         
.                                                         {c )-}
{txt}file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.000009 saved
(0 real changes made)
(0 real changes made)
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.00000a saved
(0 real changes made)
(0 real changes made)
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.00000b saved
(0 real changes made)
(0 real changes made)
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.00000c saved
(0 real changes made)
(0 real changes made)
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.00000d saved
(0 real changes made)
(0 real changes made)

{com}.                                                         e

{txt}end of do-file


{com}. byso enumerator_hha : egen max_date = max(start_time_hha)

. tab max_date

   {txt}max_date {c |}      Freq.     Percent        Cum.
{hline 12}{c +}{hline 35}
      21142 {c |}{res}         12        0.02        0.02
{txt}      21146 {c |}{res}          8        0.01        0.03
{txt}      21164 {c |}{res}          4        0.01        0.03
{txt}      21177 {c |}{res}         54        0.07        0.10
{txt}      21178 {c |}{res}          6        0.01        0.11
{txt}      21197 {c |}{res}         44        0.06        0.17
{txt}      21200 {c |}{res}         63        0.08        0.26
{txt}      21205 {c |}{res}        486        0.65        0.91
{txt}      21217 {c |}{res}      1,353        1.81        2.72
{txt}      21218 {c |}{res}        549        0.74        3.45
{txt}      21220 {c |}{res}        632        0.85        4.30
{txt}      21222 {c |}{res}        169        0.23        4.53
{txt}      21223 {c |}{res}         34        0.05        4.57
{txt}      21224 {c |}{res}      2,312        3.10        7.67
{txt}      21225 {c |}{res}      1,003        1.34        9.01
{txt}      21226 {c |}{res}      2,785        3.73       12.74
{txt}      21227 {c |}{res}      2,577        3.45       16.19
{txt}      21228 {c |}{res}      1,618        2.17       18.36
{txt}      21229 {c |}{res}      5,961        7.98       26.34
{txt}      21230 {c |}{res}      2,578        3.45       29.79
{txt}      21231 {c |}{res}      9,356       12.53       42.32
{txt}      21232 {c |}{res}      5,148        6.89       49.22
{txt}      21233 {c |}{res}      2,137        2.86       52.08
{txt}      21234 {c |}{res}      5,535        7.41       59.49
{txt}      21235 {c |}{res}      6,874        9.21       68.70
{txt}      21236 {c |}{res}      8,823       11.82       80.51
{txt}      21237 {c |}{res}      1,206        1.62       82.13
{txt}      21238 {c |}{res}      3,106        4.16       86.29
{txt}      21239 {c |}{res}      1,494        2.00       88.29
{txt}      21240 {c |}{res}      3,124        4.18       92.47
{txt}      21241 {c |}{res}      3,372        4.52       96.99
{txt}      21242 {c |}{res}      2,250        3.01      100.00
{txt}{hline 12}{c +}{hline 35}
      Total {c |}{res}     74,673      100.00

{com}. keep if start_time_hha == max_date
{txt}(73,683 observations deleted)

{com}. keep enumerator_hha fired_1day fired_2days fired_3days

. duplicates drop

{p 0 4}{txt}Duplicates in terms of {txt} all variables{p_end}

(884 observations deleted)

{com}. do "/var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//SD44938.000000"
{txt}
{com}. 
.         
.         * Loop over DHS datasets
.         ********************************************************************************
. 
.         cap clear all
{txt}
{com}.         set scheme s1mono
{txt}
{com}. 
.         * Collecting the country and year of file
. 
.         filelist , dir("$rawloc") pat("*.DTA")
{res}{txt}Number of files found = {res}2392
{txt}
{com}.         
.         preserve
{txt}
{com}.         
.         filelist , dir("$rawloc") pat("*.dta")
{res}{txt}Number of files found = {res}2840
{txt}
{com}.         
.         * We drop special case from MOZ
.         
.         drop if regexm(filename,"MOZ_population_statistics")
{txt}(0 observations deleted)

{com}.         
.         tempfile file
{txt}
{com}.         sa "`file'"
{txt}file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.000002 saved

{com}.         
.         restore
{txt}
{com}.         
.         append using "`file'"
{txt}{p 0 7 2}
(note: variable
dirname was 
str101, now str258 to accommodate using data's values)
{p_end}
{p 0 7 2}
(note: variable
filename was 
str33, now str70 to accommodate using data's values)
{p_end}

{com}. 
.         * We only select the DHS
.         
.         gen kept = 0
{txt}
{com}.         replace kept = 1 if regexm(dirname,"DHS") | regexm(dirname,"MIS") | regexm(dirname,"KAP") | regexm(dirname,"AIS")
{txt}(2,695 real changes made)

{com}.         
.         keep if kept == 1
{txt}(2,537 observations deleted)

{com}.         drop if regexm(dirname,"_other_surveys")
{txt}(24 observations deleted)

{com}.         
.         split dirname, p("//")
{res}variables created as string: 
{txt}{col 1}dirname1{col 11}dirname2

{com}.         
.         keep dirname dirname2 filename
{txt}
{com}.         ren dirname2 temp
{res}{txt}
{com}.         split temp, p("/")
{res}variables created as string: 
{txt}{col 1}temp1{col 8}temp2{col 15}temp3{col 22}temp4{col 29}temp5{col 36}temp6{col 43}temp7{col 50}temp8

{com}.         
.         keep dirname filename temp1 temp2
{txt}
{com}.         ren temp1 country
{res}{txt}
{com}.         
.         replace temp2 = subinstr(temp2,"DHS_","",.)
{txt}(2,413 real changes made)

{com}.         replace temp2 = subinstr(temp2,"MIS_","",.)
{txt}(140 real changes made)

{com}.         replace temp2 = subinstr(temp2,"KAP_","",.)
{txt}(5 real changes made)

{com}.         replace temp2 = subinstr(temp2,"AIS_","",.)
{txt}(16 real changes made)

{com}.         ren temp2 temp
{res}{txt}
{com}.         split temp, p("-")
{res}variables created as string: 
{txt}{col 1}temp1{col 8}temp2

{com}.         drop temp temp2
{txt}
{com}.         ren temp1 year
{res}{txt}
{com}.         
.         * We load the excel information document
.         
.         preserve
{txt}
{com}.         
.         use "$comploc/survey_age_thresholds_dhs.dta", clear
{txt}
{com}.         
.         fre hiv_prob_men men_prob
{res}
{txt}hiv_prob_men
{txt}{hline 13}{hline 1}{c TT}{hline 44}
{txt}        {txt}      {c |}      Freq.    Percent      Valid       Cum.
{txt}{hline 13}{hline 1}{c +}{hline 44}
{txt}Valid   0     {c |}{res}        301      78.18      78.18      78.18
{txt}        .14   {c |}{res}          2       0.52       0.52      78.70
{txt}        .18   {c |}{res}          1       0.26       0.26      78.96
{txt}        .33   {c |}{res}         11       2.86       2.86      81.82
{txt}        .38   {c |}{res}          1       0.26       0.26      82.08
{txt}        .5    {c |}{res}         40      10.39      10.39      92.47
{txt}        .67   {c |}{res}          4       1.04       1.04      93.51
{txt}        1     {c |}{res}         25       6.49       6.49     100.00
{txt}        Total {c |}{res}        385     100.00     100.00           
{txt}{hline 13}{hline 1}{c BT}{hline 44}
{res}
{txt}men_prob {hline 2} men_prob
{txt}{hline 13}{hline 1}{c TT}{hline 44}
{txt}        {txt}      {c |}      Freq.    Percent      Valid       Cum.
{txt}{hline 13}{hline 1}{c +}{hline 44}
{txt}Valid   0     {c |}{res}        155      40.26      40.36      40.36
{txt}        .08   {c |}{res}          1       0.26       0.26      40.62
{txt}        .14   {c |}{res}          3       0.78       0.78      41.41
{txt}        .2    {c |}{res}          2       0.52       0.52      41.93
{txt}        .25   {c |}{res}          8       2.08       2.08      44.01
{txt}        .32   {c |}{res}          1       0.26       0.26      44.27
{txt}        .33   {c |}{res}         69      17.92      17.97      62.24
{txt}        .37   {c |}{res}          1       0.26       0.26      62.50
{txt}        .38   {c |}{res}          1       0.26       0.26      62.76
{txt}        .4    {c |}{res}          1       0.26       0.26      63.02
{txt}        .5    {c |}{res}         91      23.64      23.70      86.72
{txt}        .67   {c |}{res}          5       1.30       1.30      88.02
{txt}        1     {c |}{res}         46      11.95      11.98     100.00
{txt}        Total {c |}{res}        384      99.74     100.00           
{txt}Missing .     {c |}{res}          1       0.26                      
{txt}Total         {c |}{res}        385     100.00                      
{txt}{hline 13}{hline 1}{c BT}{hline 44}

{com}.         
.         gen MQsample_check=0
{txt}
{com}.         replace MQsample_check=1 if men_prob<1 & men_prob>0 & hiv_prob_men!=men_prob
{txt}(127 real changes made)

{com}.         tab MQsampl*

           {txt}{c |}    MQsample_check
  MQsample {c |}         0          1 {c |}     Total
{hline 11}{c +}{hline 22}{c +}{hline 10}
         0 {c |}{res}       202          7 {txt}{c |}{res}       209 
{txt}         1 {c |}{res}        56        120 {txt}{c |}{res}       176 
{txt}{hline 11}{c +}{hline 22}{c +}{hline 10}
     Total {c |}{res}       258        127 {txt}{c |}{res}       385 

{txt}
{com}.         
.         gen HIVsample = 0
{txt}
{com}.         replace HIVsample = 1 if hiv_prob_men<1 & hiv_prob_men>0
{txt}(59 real changes made)

{com}.         
.         keep country year women_lower men_lower women_upper men_upper MQsample BMsample HIVsample men_prob
{txt}
{com}.         
.         keep if MQsample == 1 | BMsample == 1
{txt}(195 observations deleted)

{com}. 
.         tostring year, replace
{txt}year was {res:int} now {res:str4}

{com}.         order country year, first
{txt}
{com}.                 
.         * Checking the number of surveys
. 
.         duplicates drop

{p 0 4}{txt}Duplicates in terms of {txt} all variables{p_end}

(0 observations are duplicates)

{com}.         duplicates tag country year, gen(dup)

{p 0 4}{txt}Duplicates in terms of {res} country year{p_end}
{txt}
{com}.         
.         count
  {res}190
{txt}
{com}.         
.         tempfile info
{txt}
{com}.         sa "`info'"
{txt}file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.000004 saved

{com}.         
.         restore
{txt}
{com}.         
.         merge m:1 country year using "`info'"
{res}
{txt}{col 5}Result{col 38}# of obs.
{col 5}{hline 41}
{col 5}not matched{col 30}{res}           1,244
{txt}{col 9}from master{col 30}{res}           1,243{txt}  (_merge==1)
{col 9}from using{col 30}{res}               1{txt}  (_merge==2)

{col 5}matched{col 30}{res}           1,428{txt}  (_merge==3)
{col 5}{hline 41}

{com}.         
.         drop if _merge == 2
{txt}(1 observation deleted)

{com}. 
.         ren _merge merge1
{res}{txt}
{com}.         
.         * n_women_sample
.         
.         preserve
{txt}
{com}.         
.         use "${c -(}comploc{c )-}dhs_census_pairs.dta", clear
{txt}
{com}.         
.         keep country year_dhs n_women_sample
{txt}
{com}. 
.         drop if n_women_sample == 0
{txt}(29 observations deleted)

{com}. 
.         ren year_dhs year
{res}{txt}
{com}.         tostring year, replace
{txt}year was {res:int} now {res:str4}

{com}.         
.         duplicates drop

{p 0 4}{txt}Duplicates in terms of {txt} all variables{p_end}

(0 observations are duplicates)

{com}.         
.         tempfile pairs
{txt}
{com}.         sa "`pairs'"
{txt}file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.000006 saved

{com}.         
.         restore
{txt}
{com}.         
.         merge m:1 country year using "`pairs'"
{res}
{txt}{col 5}Result{col 38}# of obs.
{col 5}{hline 41}
{col 5}not matched{col 30}{res}           2,223
{txt}{col 9}from master{col 30}{res}           2,223{txt}  (_merge==1)
{col 9}from using{col 30}{res}               0{txt}  (_merge==2)

{col 5}matched{col 30}{res}             448{txt}  (_merge==3)
{col 5}{hline 41}

{com}.         
.         drop _merge
{txt}
{com}.         
.         * Eligible
.         
.         preserve
{txt}
{com}.         
.         use "${c -(}comploc{c )-}census_dhs_pairs.dta", clear
{txt}
{com}.         
.         keep country year_dhs women_lower men_lower women_upper men_upper eligible
{txt}
{com}.         
.         foreach var in women_lower men_lower women_upper men_upper eligible {c -(}
{txt}  2{com}.         
.                 ren `var' `var'_p
{txt}  3{com}.                 
.                 {c )-}
{res}{txt}
{com}.         
.         drop if eligible == 0
{txt}(62 observations deleted)

{com}. 
.         ren year_dhs year
{res}{txt}
{com}.         tostring year, replace
{txt}year was {res:int} now {res:str4}

{com}.         
.         duplicates drop

{p 0 4}{txt}Duplicates in terms of {txt} all variables{p_end}

(0 observations are duplicates)

{com}.         drop if country == "BGD" & women_lower_p == "13"
{txt}(0 observations deleted)

{com}. 
.         tempfile pairs
{txt}
{com}.         sa "`pairs'"
{txt}file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.000008 saved

{com}.         
.         restore
{txt}
{com}.         
.         merge m:1 country year using "`pairs'"
{res}
{txt}{col 5}Result{col 38}# of obs.
{col 5}{hline 41}
{col 5}not matched{col 30}{res}           2,497
{txt}{col 9}from master{col 30}{res}           2,497{txt}  (_merge==1)
{col 9}from using{col 30}{res}               0{txt}  (_merge==2)

{col 5}matched{col 30}{res}             174{txt}  (_merge==3)
{col 5}{hline 41}

{com}. 
.         drop if _merge == 2
{txt}(0 observations deleted)

{com}. 
.         gen test = 0
{txt}
{com}.         replace test = 1 if MQsample == 1
{txt}(1,349 real changes made)

{com}.         drop if test == 0
{txt}(1,322 observations deleted)

{com}.         
.         keep country year
{txt}
{com}.         duplicates drop

{p 0 4}{txt}Duplicates in terms of {txt} all variables{p_end}

(1,173 observations deleted)

{com}.         
.         gen level = country + "_DHS_" + year + "_clean.dta"
{txt}
{com}.         
.         keep if country == "BEN"
{txt}(171 observations deleted)

{com}.         
.         levelsof level
{txt}`"BEN_DHS_1996_clean.dta"' `"BEN_DHS_2001_clean.dta"' `"BEN_DHS_2006_clean.dta"' `"BEN_DHS_2011_clean.dta"' `"BEN_DHS_2017_clean.dta"'

{com}. 
.         local lvlfiles `r(levels)'
{txt}
{com}.         
.         local z = 0
{txt}
{com}.         local z2 = 0
{txt}
{com}.         
.         foreach lvl of local lvlfiles {c -(}
{txt}  2{com}.         
.                 local temp : subinstr local lvl `"""' "", all
{txt}  3{com}.                 local lvl: subinstr local temp "'" "", all
{txt}  4{com}.                 
.                 use "$cleanloc/`lvl'", clear
{txt}  5{com}.         
.                 * We work on the supervisor and time
.                 
.                 qui fre supervisor_id
{txt}  6{com}.                 
.                 if `r(r_valid)' != 0 {c -(}
{txt}  7{com}.                 
.                         qui fre start_time_hha 
{txt}  8{com}.                         
.                                 if `r(r_valid)' != 0 {c -(}
{txt}  9{com}.                         
.                                         qui local z = `z' + 1
{txt} 10{com}.                                 
.                                         qui keep id01_cluster supervisor_id start_time_hha
{txt} 11{com}.                                         qui duplicates drop
{txt} 12{com}.                                         qui duplicates tag supervisor_id start_time_hha, gen(tag)
{txt} 13{com}.                                         qui keep supervisor_id tag
{txt} 14{com}.                                         qui duplicates drop
{txt} 15{com}.                                         qui byso supervisor_id: egen num_cluster_sametime = max(tag)
{txt} 16{com}.                                         qui keep supervisor_id num_cluster_sametime
{txt} 17{com}.                                         qui duplicates drop
{txt} 18{com}.                                         
.                                         gen file = "`lvl'"
{txt} 19{com}.                                         order file, first
{txt} 20{com}.                                         
.                                         tempfile data`z'
{txt} 21{com}.                                         sa "`data`z''"
{txt} 22{com}.                                         
.                                         {c )-}
{txt} 23{com}.                                         
.                                         {c )-}
{txt} 24{com}.                                         
.                 * We work on the enumerator
.                 
.                 use "$cleanloc/`lvl'", clear
{txt} 25{com}.                 
.                 cap gen enum_id_mn = .
{txt} 26{com}.                 cap gen enum_id_wm = .
{txt} 27{com}.                 
.                 keep id01_cluster supervisor_id enumerator_hha enum_id_mn enum_id_wm start_time_hha
{txt} 28{com}.                 
.                 replace enumerator_hha = enum_id_mn if !missing(enum_id_mn) & missing(enumerator_hha)
{txt} 29{com}.                 replace enumerator_hha = enum_id_wm if !missing(enum_id_wm) & missing(enumerator_hha)
{txt} 30{com}.                 
.                 qui fre supervisor_id
{txt} 31{com}.                 
.                 if `r(r_valid)' != 0 {c -(}
{txt} 32{com}.                 
.                         qui fre start_time_hha 
{txt} 33{com}.                         
.                                 if `r(r_valid)' != 0 {c -(}
{txt} 34{com}.                 
.                                         qui fre enumerator_hha
{txt} 35{com}.                                                 
.                                                 if `r(r_valid)' != 0 {c -(}
{txt} 36{com}.                                                 
.                                                         local z2 = `z2' + 1
{txt} 37{com}.                                                 
.                                                         qui byso id01_cluster supervisor_id enumerator_hha: egen last_day_enum = max(start_time_hha)
{txt} 38{com}.                                                         qui byso id01_cluster supervisor_id: egen last_day_team = max(start_time_hha)
{txt} 39{com}.                                                         
.                                                         qui gen diff = last_day_team - last_day_enum
{txt} 40{com}.                                                         
.                                                         qui gen fired_1day = (diff >= 2)
{txt} 41{com}.                                                         qui replace fired_1day = . if missing(diff)
{txt} 42{com}.                                                         
.                                                         qui gen fired_2days = (diff >= 3)
{txt} 43{com}.                                                         qui replace fired_2days = . if missing(diff)
{txt} 44{com}.                                                         
.                                                         qui gen fired_3days = (diff >= 4)
{txt} 45{com}.                                                         qui replace fired_3days = . if missing(diff)
{txt} 46{com}.                                                         
.                                                         byso enumerator_hha: egen max_date = max(start_time_hha)
{txt} 47{com}.                                                         keep if max_date == start_time_hha
{txt} 48{com}.                                                 
.                                                         qui keep enumerator_hha fired_1day fired_2days fired_3days
{txt} 49{com}.                                                         qui duplicates drop
{txt} 50{com}.                                                         
.                                                         duplicates drop
{txt} 51{com}.                                                         
.                                                         qui sum fired_1day
{txt} 52{com}.                                                         qui gen pct_fired_1day = `r(mean)'
{txt} 53{com}.                                                         
.                                                         qui sum fired_2days
{txt} 54{com}.                                                         qui gen pct_fired_2days = `r(mean)'
{txt} 55{com}.                                                         
.                                                         qui sum fired_3days
{txt} 56{com}.                                                         qui gen pct_fired_3days = `r(mean)'
{txt} 57{com}.                                                         
.                                                         gen file = "`lvl'"
{txt} 58{com}.                                                         order file, first
{txt} 59{com}.                                                         
.                                                         tempfile sdata`z'
{txt} 60{com}.                                                         sa "`sdata`z''"
{txt} 61{com}.                                         
.                                                         {c )-}
{txt} 62{com}.                                                         
.                                                 {c )-}
{txt} 63{com}.                                         
.                                         {c )-}
{txt} 64{com}.                         
.                                 {c )-}
{txt}file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.000009 saved
(0 real changes made)
(0 real changes made)
(27,156 observations deleted)

{p 0 4}{txt}Duplicates in terms of {txt} all variables{p_end}

(0 observations are duplicates)
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.00000a saved
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.00000b saved
(0 real changes made)
(0 real changes made)
(29,736 observations deleted)

{p 0 4}{txt}Duplicates in terms of {txt} all variables{p_end}

(0 observations are duplicates)
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.00000c saved
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.00000d saved
(0 real changes made)
(0 real changes made)
(85,862 observations deleted)

{p 0 4}{txt}Duplicates in terms of {txt} all variables{p_end}

(0 observations are duplicates)
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.00000e saved
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.00000f saved
(0 real changes made)
(0 real changes made)
(85,985 observations deleted)

{p 0 4}{txt}Duplicates in terms of {txt} all variables{p_end}

(0 observations are duplicates)
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.00000g saved
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.00000h saved
(0 real changes made)
(0 real changes made)
(73,683 observations deleted)

{p 0 4}{txt}Duplicates in terms of {txt} all variables{p_end}

(0 observations are duplicates)
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.00000i saved

{com}.                         
.                 use "`data1'", clear
{txt}
{com}.                 
.                 forvalues x = 2/`z' {c -(}
{txt}  2{com}.                 
.                         append using "`data`x''"
{txt}  3{com}.                         
.                         {c )-}
{txt}
{com}.                         
.                 export excel using "$comploc/supervisor_data.xlsx", sheet("by_cluster") sheetmod first(var)
{res}{txt}file /Users/fredericcochinard/Dropbox/Age bunching/Data/compiled//supervisor_data.xlsx saved

{com}.                 
.                 use "`sdata1'", clear
{txt}
{com}.                 
.                 forvalues x = 2/`z2' {c -(}
{txt}  2{com}.                 
.                         append using "`sdata`x''"
{txt}  3{com}.                         
.                         {c )-}
{txt}
{com}.                         
.                 export excel using "$comploc/supervisor_data.xlsx", sheet("fired_ratio") sheetmod first(var)
{res}{txt}file /Users/fredericcochinard/Dropbox/Age bunching/Data/compiled//supervisor_data.xlsx saved

{com}.                 
. 
{txt}end of do-file

{com}. do "/Users/fredericcochinard/Dropbox/Age bunching/Dofiles/_xCountry/cln_turnover_interviewer.do"
{txt}
{com}. 
.         
.         * Loop over DHS datasets
.         ********************************************************************************
. 
.         cap clear all
{txt}
{com}.         set scheme s1mono
{txt}
{com}. 
.         * Collecting the country and year of file
. 
.         filelist , dir("$rawloc") pat("*.DTA")
{res}{txt}Number of files found = {res}2392
{txt}
{com}.         
.         preserve
{txt}
{com}.         
.         filelist , dir("$rawloc") pat("*.dta")
{res}{txt}Number of files found = {res}2840
{txt}
{com}.         
.         * We drop special case from MOZ
.         
.         drop if regexm(filename,"MOZ_population_statistics")
{txt}(0 observations deleted)

{com}.         
.         tempfile file
{txt}
{com}.         sa "`file'"
{txt}file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.000002 saved

{com}.         
.         restore
{txt}
{com}.         
.         append using "`file'"
{txt}{p 0 7 2}
(note: variable
dirname was 
str101, now str258 to accommodate using data's values)
{p_end}
{p 0 7 2}
(note: variable
filename was 
str33, now str70 to accommodate using data's values)
{p_end}

{com}. 
.         * We only select the DHS
.         
.         gen kept = 0
{txt}
{com}.         replace kept = 1 if regexm(dirname,"DHS") | regexm(dirname,"MIS") | regexm(dirname,"KAP") | regexm(dirname,"AIS")
{txt}(2,695 real changes made)

{com}.         
.         keep if kept == 1
{txt}(2,537 observations deleted)

{com}.         drop if regexm(dirname,"_other_surveys")
{txt}(24 observations deleted)

{com}.         
.         split dirname, p("//")
{res}variables created as string: 
{txt}{col 1}dirname1{col 11}dirname2

{com}.         
.         keep dirname dirname2 filename
{txt}
{com}.         ren dirname2 temp
{res}{txt}
{com}.         split temp, p("/")
{res}variables created as string: 
{txt}{col 1}temp1{col 8}temp2{col 15}temp3{col 22}temp4{col 29}temp5{col 36}temp6{col 43}temp7{col 50}temp8

{com}.         
.         keep dirname filename temp1 temp2
{txt}
{com}.         ren temp1 country
{res}{txt}
{com}.         
.         replace temp2 = subinstr(temp2,"DHS_","",.)
{txt}(2,413 real changes made)

{com}.         replace temp2 = subinstr(temp2,"MIS_","",.)
{txt}(140 real changes made)

{com}.         replace temp2 = subinstr(temp2,"KAP_","",.)
{txt}(5 real changes made)

{com}.         replace temp2 = subinstr(temp2,"AIS_","",.)
{txt}(16 real changes made)

{com}.         ren temp2 temp
{res}{txt}
{com}.         split temp, p("-")
{res}variables created as string: 
{txt}{col 1}temp1{col 8}temp2

{com}.         drop temp temp2
{txt}
{com}.         ren temp1 year
{res}{txt}
{com}.         
.         * We load the excel information document
.         
.         preserve
{txt}
{com}.         
.         use "$comploc/survey_age_thresholds_dhs.dta", clear
{txt}
{com}.         
.         fre hiv_prob_men men_prob
{res}
{txt}hiv_prob_men
{txt}{hline 13}{hline 1}{c TT}{hline 44}
{txt}        {txt}      {c |}      Freq.    Percent      Valid       Cum.
{txt}{hline 13}{hline 1}{c +}{hline 44}
{txt}Valid   0     {c |}{res}        301      78.18      78.18      78.18
{txt}        .14   {c |}{res}          2       0.52       0.52      78.70
{txt}        .18   {c |}{res}          1       0.26       0.26      78.96
{txt}        .33   {c |}{res}         11       2.86       2.86      81.82
{txt}        .38   {c |}{res}          1       0.26       0.26      82.08
{txt}        .5    {c |}{res}         40      10.39      10.39      92.47
{txt}        .67   {c |}{res}          4       1.04       1.04      93.51
{txt}        1     {c |}{res}         25       6.49       6.49     100.00
{txt}        Total {c |}{res}        385     100.00     100.00           
{txt}{hline 13}{hline 1}{c BT}{hline 44}
{res}
{txt}men_prob {hline 2} men_prob
{txt}{hline 13}{hline 1}{c TT}{hline 44}
{txt}        {txt}      {c |}      Freq.    Percent      Valid       Cum.
{txt}{hline 13}{hline 1}{c +}{hline 44}
{txt}Valid   0     {c |}{res}        155      40.26      40.36      40.36
{txt}        .08   {c |}{res}          1       0.26       0.26      40.62
{txt}        .14   {c |}{res}          3       0.78       0.78      41.41
{txt}        .2    {c |}{res}          2       0.52       0.52      41.93
{txt}        .25   {c |}{res}          8       2.08       2.08      44.01
{txt}        .32   {c |}{res}          1       0.26       0.26      44.27
{txt}        .33   {c |}{res}         69      17.92      17.97      62.24
{txt}        .37   {c |}{res}          1       0.26       0.26      62.50
{txt}        .38   {c |}{res}          1       0.26       0.26      62.76
{txt}        .4    {c |}{res}          1       0.26       0.26      63.02
{txt}        .5    {c |}{res}         91      23.64      23.70      86.72
{txt}        .67   {c |}{res}          5       1.30       1.30      88.02
{txt}        1     {c |}{res}         46      11.95      11.98     100.00
{txt}        Total {c |}{res}        384      99.74     100.00           
{txt}Missing .     {c |}{res}          1       0.26                      
{txt}Total         {c |}{res}        385     100.00                      
{txt}{hline 13}{hline 1}{c BT}{hline 44}

{com}.         
.         gen MQsample_check=0
{txt}
{com}.         replace MQsample_check=1 if men_prob<1 & men_prob>0 & hiv_prob_men!=men_prob
{txt}(127 real changes made)

{com}.         tab MQsampl*

           {txt}{c |}    MQsample_check
  MQsample {c |}         0          1 {c |}     Total
{hline 11}{c +}{hline 22}{c +}{hline 10}
         0 {c |}{res}       202          7 {txt}{c |}{res}       209 
{txt}         1 {c |}{res}        56        120 {txt}{c |}{res}       176 
{txt}{hline 11}{c +}{hline 22}{c +}{hline 10}
     Total {c |}{res}       258        127 {txt}{c |}{res}       385 

{txt}
{com}.         
.         gen HIVsample = 0
{txt}
{com}.         replace HIVsample = 1 if hiv_prob_men<1 & hiv_prob_men>0
{txt}(59 real changes made)

{com}.         
.         keep country year women_lower men_lower women_upper men_upper MQsample BMsample HIVsample men_prob
{txt}
{com}.         
.         keep if MQsample == 1 | BMsample == 1
{txt}(195 observations deleted)

{com}. 
.         tostring year, replace
{txt}year was {res:int} now {res:str4}

{com}.         order country year, first
{txt}
{com}.                 
.         * Checking the number of surveys
. 
.         duplicates drop

{p 0 4}{txt}Duplicates in terms of {txt} all variables{p_end}

(0 observations are duplicates)

{com}.         duplicates tag country year, gen(dup)

{p 0 4}{txt}Duplicates in terms of {res} country year{p_end}
{txt}
{com}.         
.         count
  {res}190
{txt}
{com}.         
.         tempfile info
{txt}
{com}.         sa "`info'"
{txt}file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.000004 saved

{com}.         
.         restore
{txt}
{com}.         
.         merge m:1 country year using "`info'"
{res}
{txt}{col 5}Result{col 38}# of obs.
{col 5}{hline 41}
{col 5}not matched{col 30}{res}           1,244
{txt}{col 9}from master{col 30}{res}           1,243{txt}  (_merge==1)
{col 9}from using{col 30}{res}               1{txt}  (_merge==2)

{col 5}matched{col 30}{res}           1,428{txt}  (_merge==3)
{col 5}{hline 41}

{com}.         
.         drop if _merge == 2
{txt}(1 observation deleted)

{com}. 
.         ren _merge merge1
{res}{txt}
{com}.         
.         * n_women_sample
.         
.         preserve
{txt}
{com}.         
.         use "${c -(}comploc{c )-}dhs_census_pairs.dta", clear
{txt}
{com}.         
.         keep country year_dhs n_women_sample
{txt}
{com}. 
.         drop if n_women_sample == 0
{txt}(29 observations deleted)

{com}. 
.         ren year_dhs year
{res}{txt}
{com}.         tostring year, replace
{txt}year was {res:int} now {res:str4}

{com}.         
.         duplicates drop

{p 0 4}{txt}Duplicates in terms of {txt} all variables{p_end}

(0 observations are duplicates)

{com}.         
.         tempfile pairs
{txt}
{com}.         sa "`pairs'"
{txt}file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.000006 saved

{com}.         
.         restore
{txt}
{com}.         
.         merge m:1 country year using "`pairs'"
{res}
{txt}{col 5}Result{col 38}# of obs.
{col 5}{hline 41}
{col 5}not matched{col 30}{res}           2,223
{txt}{col 9}from master{col 30}{res}           2,223{txt}  (_merge==1)
{col 9}from using{col 30}{res}               0{txt}  (_merge==2)

{col 5}matched{col 30}{res}             448{txt}  (_merge==3)
{col 5}{hline 41}

{com}.         
.         drop _merge
{txt}
{com}.         
.         * Eligible
.         
.         preserve
{txt}
{com}.         
.         use "${c -(}comploc{c )-}census_dhs_pairs.dta", clear
{txt}
{com}.         
.         keep country year_dhs women_lower men_lower women_upper men_upper eligible
{txt}
{com}.         
.         foreach var in women_lower men_lower women_upper men_upper eligible {c -(}
{txt}  2{com}.         
.                 ren `var' `var'_p
{txt}  3{com}.                 
.                 {c )-}
{res}{txt}
{com}.         
.         drop if eligible == 0
{txt}(62 observations deleted)

{com}. 
.         ren year_dhs year
{res}{txt}
{com}.         tostring year, replace
{txt}year was {res:int} now {res:str4}

{com}.         
.         duplicates drop

{p 0 4}{txt}Duplicates in terms of {txt} all variables{p_end}

(0 observations are duplicates)

{com}.         drop if country == "BGD" & women_lower_p == "13"
{txt}(0 observations deleted)

{com}. 
.         tempfile pairs
{txt}
{com}.         sa "`pairs'"
{txt}file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.000008 saved

{com}.         
.         restore
{txt}
{com}.         
.         merge m:1 country year using "`pairs'"
{res}
{txt}{col 5}Result{col 38}# of obs.
{col 5}{hline 41}
{col 5}not matched{col 30}{res}           2,497
{txt}{col 9}from master{col 30}{res}           2,497{txt}  (_merge==1)
{col 9}from using{col 30}{res}               0{txt}  (_merge==2)

{col 5}matched{col 30}{res}             174{txt}  (_merge==3)
{col 5}{hline 41}

{com}. 
.         drop if _merge == 2
{txt}(0 observations deleted)

{com}. 
.         gen test = 0
{txt}
{com}.         replace test = 1 if MQsample == 1
{txt}(1,349 real changes made)

{com}.         drop if test == 0
{txt}(1,322 observations deleted)

{com}.         
.         keep country year
{txt}
{com}.         duplicates drop

{p 0 4}{txt}Duplicates in terms of {txt} all variables{p_end}

(1,173 observations deleted)

{com}.         
.         gen level = country + "_DHS_" + year + "_clean.dta"
{txt}
{com}.         
.         levelsof level
{txt}`"AFG_DHS_2015_clean.dta"' `"AGO_DHS_2015_clean.dta"' `"ALB_DHS_2008_clean.dta"' `"ALB_DHS_2017_clean.dta"' `"ARM_DHS_2000_clean.dta"' `"ARM_DHS_2005_clean.dta"' `"ARM_DHS_2010_clean.dta"' `"ARM_DHS_2015_clean.dta"' `"AZE_DHS_2006_clean.dta"' `"BDI_DHS_2010_clean.dta"' `"BDI_DHS_2016_clean.dta"' `"BEN_DHS_1996_clean.dta"' `"BEN_DHS_2001_clean.dta"' `"BEN_DHS_2006_clean.dta"' `"BEN_DHS_2011_clean.dta"' `"BEN_DHS_2017_clean.dta"' `"BFA_DHS_1993_clean.dta"' `"BFA_DHS_1998_clean.dta"' `"BFA_DHS_2003_clean.dta"' `"BFA_DHS_2010_clean.dta"' `"BFA_DHS_2021_clean.dta"' `"BGD_DHS_1996_clean.dta"' `"BGD_DHS_1999_clean.dta"' `"BGD_DHS_2004_clean.dta"' `"BGD_DHS_2007_clean.dta"' `"BGD_DHS_2011_clean.dta"' `"BOL_DHS_1998_clean.dta"' `"BOL_DHS_2003_clean.dta"' `"BOL_DHS_2008_clean.dta"' `"BRA_DHS_1996_clean.dta"' `"CAF_DHS_1994_clean.dta"' `"CIV_DHS_1994_clean.dta"' `"CIV_DHS_1998_clean.dta"' `"CIV_DHS_2011_clean.dta"' `"CIV_DHS_2021_clean.dta"' `"CMR_DHS_1998_clean.dta"' `"CMR_DHS_2004_clean.dta"' `"CMR_DHS_2011_clean.dta"' `"CMR_DHS_2018_clean.dta"' `"COD_DHS_2007_clean.dta"' `"COD_DHS_2013_clean.dta"' `"COG_DHS_2005_clean.dta"' `"COG_DHS_2011_clean.dta"' `"COM_DHS_1996_clean.dta"' `"COM_DHS_2012_clean.dta"' `"DOM_DHS_2002_clean.dta"' `"ETH_DHS_2000_clean.dta"' `"ETH_DHS_2005_clean.dta"' `"GAB_DHS_2000_clean.dta"' `"GAB_DHS_2012_clean.dta"' `"GAB_DHS_2019_clean.dta"' `"GHA_DHS_1993_clean.dta"' `"GHA_DHS_1998_clean.dta"' `"GHA_DHS_2008_clean.dta"' `"GHA_DHS_2014_clean.dta"' `"GIN_DHS_1999_clean.dta"' `"GIN_DHS_2005_clean.dta"' `"GIN_DHS_2012_clean.dta"' `"GIN_DHS_2018_clean.dta"' `"GMB_DHS_2013_clean.dta"' `"GMB_DHS_2019_clean.dta"' `"GTM_DHS_2014_clean.dta"' `"HND_DHS_2011_clean.dta"' `"HTI_DHS_1994_clean.dta"' `"HTI_DHS_2000_clean.dta"' `"HTI_DHS_2005_clean.dta"' `"HTI_DHS_2012_clean.dta"' `"IDN_DHS_2002_clean.dta"' `"IDN_DHS_2007_clean.dta"' `"IDN_DHS_2012_clean.dta"' `"IDN_DHS_2017_clean.dta"' `"IND_DHS_2005_clean.dta"' `"IND_DHS_2015_clean.dta"' `"IND_DHS_2019_clean.dta"' `"JOR_DHS_2017_clean.dta"' `"KAZ_DHS_1999_clean.dta"' `"KEN_DHS_1993_clean.dta"' `"KEN_DHS_1998_clean.dta"' `"KEN_DHS_2003_clean.dta"' `"KEN_DHS_2008_clean.dta"' `"KEN_DHS_2014_clean.dta"' `"KEN_DHS_2022_clean.dta"' `"KGZ_DHS_2012_clean.dta"' `"KHM_DHS_2005_clean.dta"' `"KHM_DHS_2010_clean.dta"' `"KHM_DHS_2014_clean.dta"' `"KHM_DHS_2021_clean.dta"' `"LBR_DHS_2013_clean.dta"' `"LBR_DHS_2019_clean.dta"' `"LSO_DHS_2004_clean.dta"' `"LSO_DHS_2009_clean.dta"' `"LSO_DHS_2014_clean.dta"' `"MAR_DHS_1992_clean.dta"' `"MDA_DHS_2005_clean.dta"' `"MDG_DHS_2003_clean.dta"' `"MDG_DHS_2008_clean.dta"' `"MDG_DHS_2021_clean.dta"' `"MDV_DHS_2009_clean.dta"' `"MLI_DHS_1995_clean.dta"' `"MLI_DHS_2001_clean.dta"' `"MLI_DHS_2006_clean.dta"' `"MLI_DHS_2012_clean.dta"' `"MLI_DHS_2018_clean.dta"' `"MMR_DHS_2015_clean.dta"' `"MOZ_DHS_1997_clean.dta"' `"MOZ_DHS_2003_clean.dta"' `"MOZ_DHS_2011_clean.dta"' `"MRT_DHS_2019_clean.dta"' `"MWI_DHS_1992_clean.dta"' `"MWI_DHS_2000_clean.dta"' `"MWI_DHS_2004_clean.dta"' `"MWI_DHS_2010_clean.dta"' `"MWI_DHS_2015_clean.dta"' `"NAM_DHS_2000_clean.dta"' `"NAM_DHS_2006_clean.dta"' `"NAM_DHS_2013_clean.dta"' `"NER_DHS_1998_clean.dta"' `"NER_DHS_2006_clean.dta"' `"NER_DHS_2012_clean.dta"' `"NGA_DHS_2003_clean.dta"' `"NGA_DHS_2008_clean.dta"' `"NGA_DHS_2013_clean.dta"' `"NGA_DHS_2018_clean.dta"' `"NIC_DHS_1998_clean.dta"' `"NPL_DHS_2001_clean.dta"' `"NPL_DHS_2006_clean.dta"' `"NPL_DHS_2011_clean.dta"' `"NPL_DHS_2016_clean.dta"' `"NPL_DHS_2022_clean.dta"' `"PAK_DHS_2012_clean.dta"' `"PAK_DHS_2017_clean.dta"' `"PER_DHS_1996_clean.dta"' `"PHL_DHS_2003_clean.dta"' `"PNG_DHS_2016_clean.dta"' `"RWA_DHS_2000_clean.dta"' `"RWA_DHS_2005_clean.dta"' `"RWA_DHS_2010_clean.dta"' `"RWA_DHS_2014_clean.dta"' `"RWA_DHS_2019_clean.dta"' `"SEN_DHS_1992_clean.dta"' `"SEN_DHS_2005_clean.dta"' `"SEN_DHS_2010_clean.dta"' `"SEN_DHS_2014_clean.dta"' `"SEN_DHS_2015_clean.dta"' `"SEN_DHS_2016_clean.dta"' `"SEN_DHS_2017_clean.dta"' `"SEN_DHS_2018_clean.dta"' `"SEN_DHS_2019_clean.dta"' `"SLE_DHS_2008_clean.dta"' `"SLE_DHS_2013_clean.dta"' `"SLE_DHS_2019_clean.dta"' `"TCD_DHS_1996_clean.dta"' `"TCD_DHS_2004_clean.dta"' `"TCD_DHS_2014_clean.dta"' `"TGO_DHS_1998_clean.dta"' `"TGO_DHS_2013_clean.dta"' `"TLS_DHS_2009_clean.dta"' `"TLS_DHS_2016_clean.dta"' `"TZA_DHS_1991_clean.dta"' `"TZA_DHS_1996_clean.dta"' `"TZA_DHS_2004_clean.dta"' `"TZA_DHS_2010_clean.dta"' `"TZA_DHS_2015_clean.dta"' `"TZA_DHS_2022_clean.dta"' `"UGA_DHS_1995_clean.dta"' `"UGA_DHS_2000_clean.dta"' `"UGA_DHS_2006_clean.dta"' `"UGA_DHS_2011_clean.dta"' `"UGA_DHS_2016_clean.dta"' `"UKR_DHS_2007_clean.dta"' `"UZB_DHS_2002_clean.dta"' `"ZAF_DHS_2016_clean.dta"' `"ZMB_DHS_1996_clean.dta"' `"ZMB_DHS_2001_clean.dta"' `"ZWE_DHS_1994_clean.dta"' `"ZWE_DHS_1999_clean.dta"'

{com}. 
.         local lvlfiles `r(levels)'
{txt}
{com}.         
.         local z = 0
{txt}
{com}.         local z2 = 0
{txt}
{com}.         
.         foreach lvl of local lvlfiles {c -(}
{txt}  2{com}.         
.                 local temp : subinstr local lvl `"""' "", all
{txt}  3{com}.                 local lvl: subinstr local temp "'" "", all
{txt}  4{com}.                 
.                 use "$cleanloc/`lvl'", clear
{txt}  5{com}.         
.                 * We work on the supervisor and time
.                 
.                 qui fre supervisor_id
{txt}  6{com}.                 
.                 if `r(r_valid)' != 0 {c -(}
{txt}  7{com}.                 
.                         qui fre start_time_hha 
{txt}  8{com}.                         
.                                 if `r(r_valid)' != 0 {c -(}
{txt}  9{com}.                         
.                                         qui local z = `z' + 1
{txt} 10{com}.                                 
.                                         qui keep id01_cluster supervisor_id start_time_hha
{txt} 11{com}.                                         qui duplicates drop
{txt} 12{com}.                                         qui duplicates tag supervisor_id start_time_hha, gen(tag)
{txt} 13{com}.                                         qui keep supervisor_id tag
{txt} 14{com}.                                         qui duplicates drop
{txt} 15{com}.                                         qui byso supervisor_id: egen num_cluster_sametime = max(tag)
{txt} 16{com}.                                         qui keep supervisor_id num_cluster_sametime
{txt} 17{com}.                                         qui duplicates drop
{txt} 18{com}.                                         
.                                         gen file = "`lvl'"
{txt} 19{com}.                                         order file, first
{txt} 20{com}.                                         
.                                         tempfile data`z'
{txt} 21{com}.                                         sa "`data`z''"
{txt} 22{com}.                                         
.                                         {c )-}
{txt} 23{com}.                                         
.                                         {c )-}
{txt} 24{com}.                                         
.                 * We work on the enumerator
.                 
.                 use "$cleanloc/`lvl'", clear
{txt} 25{com}.                 
.                 cap gen enum_id_mn = .
{txt} 26{com}.                 cap gen enum_id_wm = .
{txt} 27{com}.                 
.                 keep id01_cluster supervisor_id enumerator_hha enum_id_mn enum_id_wm start_time_hha
{txt} 28{com}.                 
.                 replace enumerator_hha = enum_id_mn if !missing(enum_id_mn) & missing(enumerator_hha)
{txt} 29{com}.                 replace enumerator_hha = enum_id_wm if !missing(enum_id_wm) & missing(enumerator_hha)
{txt} 30{com}.                 
.                 qui fre supervisor_id
{txt} 31{com}.                 
.                 if `r(r_valid)' != 0 {c -(}
{txt} 32{com}.                 
.                         qui fre start_time_hha 
{txt} 33{com}.                         
.                                 if `r(r_valid)' != 0 {c -(}
{txt} 34{com}.                 
.                                         qui fre enumerator_hha
{txt} 35{com}.                                                 
.                                                 if `r(r_valid)' != 0 {c -(}
{txt} 36{com}.                                                 
.                                                         local z2 = `z2' + 1
{txt} 37{com}.                                                 
.                                                         qui byso id01_cluster supervisor_id enumerator_hha: egen last_day_enum = max(start_time_hha)
{txt} 38{com}.                                                         qui byso id01_cluster supervisor_id: egen last_day_team = max(start_time_hha)
{txt} 39{com}.                                                         
.                                                         qui gen diff = last_day_team - last_day_enum
{txt} 40{com}.                                                         
.                                                         qui gen fired_1day = (diff >= 2)
{txt} 41{com}.                                                         qui replace fired_1day = . if missing(diff)
{txt} 42{com}.                                                         
.                                                         qui gen fired_2days = (diff >= 3)
{txt} 43{com}.                                                         qui replace fired_2days = . if missing(diff)
{txt} 44{com}.                                                         
.                                                         qui gen fired_3days = (diff >= 4)
{txt} 45{com}.                                                         qui replace fired_3days = . if missing(diff)
{txt} 46{com}.                                                         
.                                                         byso enumerator_hha: egen max_date = max(start_time_hha)
{txt} 47{com}.                                                         keep if max_date == start_time_hha
{txt} 48{com}.                                                 
.                                                         qui keep enumerator_hha fired_1day fired_2days fired_3days
{txt} 49{com}.                                                         qui duplicates drop
{txt} 50{com}.                                                         
.                                                         duplicates drop
{txt} 51{com}.                                                         
.                                                         qui sum fired_1day
{txt} 52{com}.                                                         qui gen pct_fired_1day = `r(mean)'
{txt} 53{com}.                                                         
.                                                         qui sum fired_2days
{txt} 54{com}.                                                         qui gen pct_fired_2days = `r(mean)'
{txt} 55{com}.                                                         
.                                                         qui sum fired_3days
{txt} 56{com}.                                                         qui gen pct_fired_3days = `r(mean)'
{txt} 57{com}.                                                         
.                                                         gen file = "`lvl'"
{txt} 58{com}.                                                         order file, first
{txt} 59{com}.                                                         
.                                                         tempfile sdata`z'
{txt} 60{com}.                                                         sa "`sdata`z''"
{txt} 61{com}.                                         
.                                                         {c )-}
{txt} 62{com}.                                                         
.                                                 {c )-}
{txt} 63{com}.                                         
.                                         {c )-}
{txt} 64{com}.                         
.                                 {c )-}
{txt}(0 real changes made)
(0 real changes made)
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.000009 saved
(0 real changes made)
(0 real changes made)
(72,877 observations deleted)

{p 0 4}{txt}Duplicates in terms of {txt} all variables{p_end}

(0 observations are duplicates)
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.00000a saved
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.00000b saved
(0 real changes made)
(0 real changes made)
(30,730 observations deleted)

{p 0 4}{txt}Duplicates in terms of {txt} all variables{p_end}

(0 observations are duplicates)
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.00000c saved
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.00000d saved
(0 real changes made)
(0 real changes made)
(53,243 observations deleted)

{p 0 4}{txt}Duplicates in terms of {txt} all variables{p_end}

(0 observations are duplicates)
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.00000e saved
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.00000f saved
(0 real changes made)
(0 real changes made)
(25,773 observations deleted)

{p 0 4}{txt}Duplicates in terms of {txt} all variables{p_end}

(0 observations are duplicates)
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.00000g saved
(0 real changes made)
(0 real changes made)
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.00000h saved
(0 real changes made)
(0 real changes made)
(23,099 observations deleted)

{p 0 4}{txt}Duplicates in terms of {txt} all variables{p_end}

(0 observations are duplicates)
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.00000i saved
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.00000j saved
(0 real changes made)
(0 real changes made)
(27,355 observations deleted)

{p 0 4}{txt}Duplicates in terms of {txt} all variables{p_end}

(0 observations are duplicates)
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.00000k saved
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.00000l saved
(0 real changes made)
(0 real changes made)
(30,147 observations deleted)

{p 0 4}{txt}Duplicates in terms of {txt} all variables{p_end}

(0 observations are duplicates)
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.00000m saved
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.00000n saved
(0 real changes made)
(0 real changes made)
(42,144 observations deleted)

{p 0 4}{txt}Duplicates in terms of {txt} all variables{p_end}

(0 observations are duplicates)
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.00000o saved
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.00000p saved
(0 real changes made)
(0 real changes made)
(77,515 observations deleted)

{p 0 4}{txt}Duplicates in terms of {txt} all variables{p_end}

(0 observations are duplicates)
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.00000q saved
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.00000r saved
(0 real changes made)
(0 real changes made)
(27,156 observations deleted)

{p 0 4}{txt}Duplicates in terms of {txt} all variables{p_end}

(0 observations are duplicates)
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.00000s saved
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.00000t saved
(0 real changes made)
(0 real changes made)
(29,736 observations deleted)

{p 0 4}{txt}Duplicates in terms of {txt} all variables{p_end}

(0 observations are duplicates)
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.00000u saved
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.00000v saved
(0 real changes made)
(0 real changes made)
(85,862 observations deleted)

{p 0 4}{txt}Duplicates in terms of {txt} all variables{p_end}

(0 observations are duplicates)
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.00000w saved
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.00000x saved
(0 real changes made)
(0 real changes made)
(85,985 observations deleted)

{p 0 4}{txt}Duplicates in terms of {txt} all variables{p_end}

(0 observations are duplicates)
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.000010 saved
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.000011 saved
(0 real changes made)
(0 real changes made)
(73,683 observations deleted)

{p 0 4}{txt}Duplicates in terms of {txt} all variables{p_end}

(0 observations are duplicates)
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.000012 saved
(0 real changes made)
(0 real changes made)
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.000013 saved
(0 real changes made)
(0 real changes made)
(31,508 observations deleted)

{p 0 4}{txt}Duplicates in terms of {txt} all variables{p_end}

(0 observations are duplicates)
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.000014 saved
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.000015 saved
(0 real changes made)
(0 real changes made)
(59,558 observations deleted)

{p 0 4}{txt}Duplicates in terms of {txt} all variables{p_end}

(0 observations are duplicates)
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.000016 saved
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.000017 saved
(0 real changes made)
(0 real changes made)
(80,286 observations deleted)

{p 0 4}{txt}Duplicates in terms of {txt} all variables{p_end}

(0 observations are duplicates)
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.000018 saved
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.000019 saved
(0 real changes made)
(0 real changes made)
(82,460 observations deleted)

{p 0 4}{txt}Duplicates in terms of {txt} all variables{p_end}

(0 observations are duplicates)
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.00001a saved
(4 real changes made)
(0 real changes made)
(0 real changes made)
(0 real changes made)
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.00001b saved
(0 real changes made)
(0 real changes made)
(55,182 observations deleted)

{p 0 4}{txt}Duplicates in terms of {txt} all variables{p_end}

(0 observations are duplicates)
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.00001c saved
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.00001d saved
(0 real changes made)
(0 real changes made)
(52,797 observations deleted)

{p 0 4}{txt}Duplicates in terms of {txt} all variables{p_end}

(0 observations are duplicates)
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.00001e saved
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.00001f saved
(0 real changes made)
(0 real changes made)
(82,792 observations deleted)

{p 0 4}{txt}Duplicates in terms of {txt} all variables{p_end}

(0 observations are duplicates)
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.00001g saved
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.00001h saved
(0 real changes made)
(0 real changes made)
(53,382 observations deleted)

{p 0 4}{txt}Duplicates in terms of {txt} all variables{p_end}

(0 observations are duplicates)
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.00001i saved
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.00001j saved
(0 real changes made)
(0 real changes made)
(79,996 observations deleted)

{p 0 4}{txt}Duplicates in terms of {txt} all variables{p_end}

(0 observations are duplicates)
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.00001k saved
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.00001l saved
(0 real changes made)
(0 real changes made)
(76,286 observations deleted)

{p 0 4}{txt}Duplicates in terms of {txt} all variables{p_end}

(0 observations are duplicates)
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.00001m saved
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.00001n saved
(0 real changes made)
(0 real changes made)
(55,147 observations deleted)

{p 0 4}{txt}Duplicates in terms of {txt} all variables{p_end}

(0 observations are duplicates)
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.00001o saved
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.00001p saved
(0 real changes made)
(0 real changes made)
(27,564 observations deleted)

{p 0 4}{txt}Duplicates in terms of {txt} all variables{p_end}

(0 observations are duplicates)
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.00001q saved
(0 real changes made)
(0 real changes made)
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.00001r saved
(0 real changes made)
(0 real changes made)
(12,749 observations deleted)

{p 0 4}{txt}Duplicates in terms of {txt} all variables{p_end}

(0 observations are duplicates)
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.00001s saved
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.00001t saved
(0 real changes made)
(0 real changes made)
(50,089 observations deleted)

{p 0 4}{txt}Duplicates in terms of {txt} all variables{p_end}

(0 observations are duplicates)
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.00001u saved
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.00001v saved
(0 real changes made)
(0 real changes made)
(66,994 observations deleted)

{p 0 4}{txt}Duplicates in terms of {txt} all variables{p_end}

(0 observations are duplicates)
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.00001w saved
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.00001x saved
(3 real changes made)
(2 real changes made)
(26,129 observations deleted)

{p 0 4}{txt}Duplicates in terms of {txt} all variables{p_end}

(0 observations are duplicates)
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.000020 saved
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.000021 saved
(0 real changes made)
(0 real changes made)
(51,292 observations deleted)

{p 0 4}{txt}Duplicates in terms of {txt} all variables{p_end}

(0 observations are duplicates)
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.000022 saved
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.000023 saved
(1 real change made)
(1 real change made)
(71,693 observations deleted)

{p 0 4}{txt}Duplicates in terms of {txt} all variables{p_end}

(0 observations are duplicates)
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.000024 saved
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.000025 saved
(0 real changes made)
(0 real changes made)
(60,022 observations deleted)

{p 0 4}{txt}Duplicates in terms of {txt} all variables{p_end}

(0 observations are duplicates)
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.000026 saved
(0 real changes made)
(0 real changes made)
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.000027 saved
(0 real changes made)
(0 real changes made)
(88,850 observations deleted)

{p 0 4}{txt}Duplicates in terms of {txt} all variables{p_end}

(0 observations are duplicates)
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.000028 saved
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.000029 saved
(0 real changes made)
(0 real changes made)
(30,333 observations deleted)

{p 0 4}{txt}Duplicates in terms of {txt} all variables{p_end}

(0 observations are duplicates)
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.00002a saved
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.00002b saved
(0 real changes made)
(0 real changes made)
(50,568 observations deleted)

{p 0 4}{txt}Duplicates in terms of {txt} all variables{p_end}

(0 observations are duplicates)
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.00002c saved
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.00002d saved
(0 real changes made)
(0 real changes made)
(13,970 observations deleted)

{p 0 4}{txt}Duplicates in terms of {txt} all variables{p_end}

(0 observations are duplicates)
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.00002e saved
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.00002f saved
(0 real changes made)
(0 real changes made)
(23,882 observations deleted)

{p 0 4}{txt}Duplicates in terms of {txt} all variables{p_end}

(0 observations are duplicates)
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.00002g saved
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.00002h saved
(0 real changes made)
(0 real changes made)
(109,908 observations deleted)

{p 0 4}{txt}Duplicates in terms of {txt} all variables{p_end}

(0 observations are duplicates)
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.00002i saved
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.00002j saved
(0 real changes made)
(0 real changes made)
(67,146 observations deleted)

{p 0 4}{txt}Duplicates in terms of {txt} all variables{p_end}

(0 observations are duplicates)
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.00002k saved
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.00002l saved
(0 real changes made)
(0 real changes made)
(65,894 observations deleted)

{p 0 4}{txt}Duplicates in terms of {txt} all variables{p_end}

(0 observations are duplicates)
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.00002m saved
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.00002n saved
(0 real changes made)
(3 real changes made)
(31,941 observations deleted)

{p 0 4}{txt}Duplicates in terms of {txt} all variables{p_end}

(0 observations are duplicates)
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.00002o saved
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.00002p saved
(0 real changes made)
(0 real changes made)
(40,869 observations deleted)

{p 0 4}{txt}Duplicates in terms of {txt} all variables{p_end}

(0 observations are duplicates)
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.00002q saved
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.00002r saved
(0 real changes made)
(0 real changes made)
(45,681 observations deleted)

{p 0 4}{txt}Duplicates in terms of {txt} all variables{p_end}

(0 observations are duplicates)
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.00002s saved
(0 real changes made)
(0 real changes made)
(0 real changes made)
(0 real changes made)
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.00002t saved
(0 real changes made)
(0 real changes made)
(45,858 observations deleted)

{p 0 4}{txt}Duplicates in terms of {txt} all variables{p_end}

(0 observations are duplicates)
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.00002u saved
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.00002v saved
(0 real changes made)
(0 real changes made)
(43,295 observations deleted)

{p 0 4}{txt}Duplicates in terms of {txt} all variables{p_end}

(0 observations are duplicates)
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.00002w saved
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.00002x saved
(0 real changes made)
(0 real changes made)
(33,807 observations deleted)

{p 0 4}{txt}Duplicates in terms of {txt} all variables{p_end}

(0 observations are duplicates)
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.000030 saved
(0 real changes made)
(0 real changes made)
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.000031 saved
(0 real changes made)
(0 real changes made)
(44,199 observations deleted)

{p 0 4}{txt}Duplicates in terms of {txt} all variables{p_end}

(0 observations are duplicates)
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.000032 saved
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.000033 saved
(0 real changes made)
(0 real changes made)
(48,154 observations deleted)

{p 0 4}{txt}Duplicates in terms of {txt} all variables{p_end}

(0 observations are duplicates)
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.000034 saved
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.000035 saved
(0 real changes made)
(0 real changes made)
(51,721 observations deleted)

{p 0 4}{txt}Duplicates in terms of {txt} all variables{p_end}

(0 observations are duplicates)
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.000036 saved
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.000037 saved
(0 real changes made)
(0 real changes made)
(54,700 observations deleted)

{p 0 4}{txt}Duplicates in terms of {txt} all variables{p_end}

(0 observations are duplicates)
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.000038 saved
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.000039 saved
(0 real changes made)
(0 real changes made)
(101,765 observations deleted)

{p 0 4}{txt}Duplicates in terms of {txt} all variables{p_end}

(0 observations are duplicates)
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.00003a saved
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.00003b saved
(0 real changes made)
(0 real changes made)
(99,913 observations deleted)

{p 0 4}{txt}Duplicates in terms of {txt} all variables{p_end}

(0 observations are duplicates)
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.00003c saved
(0 real changes made)
(0 real changes made)
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.00003d saved
(0 real changes made)
(0 real changes made)
(46,883 observations deleted)

{p 0 4}{txt}Duplicates in terms of {txt} all variables{p_end}

(0 observations are duplicates)
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.00003e saved
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.00003f saved
(0 real changes made)
(0 real changes made)
(46,551 observations deleted)

{p 0 4}{txt}Duplicates in terms of {txt} all variables{p_end}

(0 observations are duplicates)
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.00003g saved
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.00003h saved
(0 real changes made)
(0 real changes made)
(59,193 observations deleted)

{p 0 4}{txt}Duplicates in terms of {txt} all variables{p_end}

(0 observations are duplicates)
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.00003i saved
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.00003j saved
(0 real changes made)
(0 real changes made)
(148,729 observations deleted)

{p 0 4}{txt}Duplicates in terms of {txt} all variables{p_end}

(0 observations are duplicates)
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.00003k saved
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.00003l saved
(0 real changes made)
(0 real changes made)
(178,205 observations deleted)

{p 0 4}{txt}Duplicates in terms of {txt} all variables{p_end}

(0 observations are duplicates)
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.00003m saved
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.00003n saved
(0 real changes made)
(0 real changes made)
(184,887 observations deleted)

{p 0 4}{txt}Duplicates in terms of {txt} all variables{p_end}

(0 observations are duplicates)
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.00003o saved
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.00003p saved
(0 real changes made)
(0 real changes made)
(188,971 observations deleted)

{p 0 4}{txt}Duplicates in terms of {txt} all variables{p_end}

(0 observations are duplicates)
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.00003q saved
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.00003r saved
(0 real changes made)
(0 real changes made)
(532,904 observations deleted)

{p 0 4}{txt}Duplicates in terms of {txt} all variables{p_end}

(0 observations are duplicates)
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.00003s saved
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.00003t saved
(0 real changes made)
(0 real changes made)
(2,865,726 observations deleted)

{p 0 4}{txt}Duplicates in terms of {txt} all variables{p_end}

(0 observations are duplicates)
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.00003u saved
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.00003v saved
(1,108 real changes made)
(1,322 real changes made)
(2,810,651 observations deleted)

{p 0 4}{txt}Duplicates in terms of {txt} all variables{p_end}

(0 observations are duplicates)
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.00003w saved
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.00003x saved
(0 real changes made)
(0 real changes made)
(91,509 observations deleted)

{p 0 4}{txt}Duplicates in terms of {txt} all variables{p_end}

(0 observations are duplicates)
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.000040 saved
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.000041 saved
(0 real changes made)
(0 real changes made)
(19,699 observations deleted)

{p 0 4}{txt}Duplicates in terms of {txt} all variables{p_end}

(0 observations are duplicates)
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.000042 saved
(0 real changes made)
(0 real changes made)
(0 real changes made)
(0 real changes made)
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.000043 saved
(0 real changes made)
(0 real changes made)
(36,953 observations deleted)

{p 0 4}{txt}Duplicates in terms of {txt} all variables{p_end}

(0 observations are duplicates)
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.000044 saved
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.000045 saved
(0 real changes made)
(0 real changes made)
(37,788 observations deleted)

{p 0 4}{txt}Duplicates in terms of {txt} all variables{p_end}

(0 observations are duplicates)
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.000046 saved
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.000047 saved
(0 real changes made)
(0 real changes made)
(152,400 observations deleted)

{p 0 4}{txt}Duplicates in terms of {txt} all variables{p_end}

(0 observations are duplicates)
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.000048 saved
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.000049 saved
(0 real changes made)
(0 real changes made)
(154,563 observations deleted)

{p 0 4}{txt}Duplicates in terms of {txt} all variables{p_end}

(0 observations are duplicates)
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.00004a saved
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.00004b saved
(0 real changes made)
(0 real changes made)
(35,374 observations deleted)

{p 0 4}{txt}Duplicates in terms of {txt} all variables{p_end}

(0 observations are duplicates)
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.00004c saved
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.00004d saved
(0 real changes made)
(0 real changes made)
(72,265 observations deleted)

{p 0 4}{txt}Duplicates in terms of {txt} all variables{p_end}

(0 observations are duplicates)
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.00004e saved
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.00004f saved
(0 real changes made)
(0 real changes made)
(76,057 observations deleted)

{p 0 4}{txt}Duplicates in terms of {txt} all variables{p_end}

(0 observations are duplicates)
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.00004g saved
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.00004h saved
(0 real changes made)
(0 real changes made)
(73,429 observations deleted)

{p 0 4}{txt}Duplicates in terms of {txt} all variables{p_end}

(0 observations are duplicates)
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.00004i saved
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.00004j saved
(0 real changes made)
(0 real changes made)
(84,322 observations deleted)

{p 0 4}{txt}Duplicates in terms of {txt} all variables{p_end}

(0 observations are duplicates)
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.00004k saved
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.00004l saved
(0 real changes made)
(0 real changes made)
(47,577 observations deleted)

{p 0 4}{txt}Duplicates in terms of {txt} all variables{p_end}

(0 observations are duplicates)
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.00004m saved
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.00004n saved
(0 real changes made)
(0 real changes made)
(41,126 observations deleted)

{p 0 4}{txt}Duplicates in terms of {txt} all variables{p_end}

(0 observations are duplicates)
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.00004o saved
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.00004p saved
(0 real changes made)
(0 real changes made)
(39,902 observations deleted)

{p 0 4}{txt}Duplicates in terms of {txt} all variables{p_end}

(0 observations are duplicates)
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.00004q saved
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.00004r saved
(0 real changes made)
(0 real changes made)
(43,616 observations deleted)

{p 0 4}{txt}Duplicates in terms of {txt} all variables{p_end}

(0 observations are duplicates)
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.00004s saved
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.00004t saved
(0 real changes made)
(0 real changes made)
(39,580 observations deleted)

{p 0 4}{txt}Duplicates in terms of {txt} all variables{p_end}

(0 observations are duplicates)
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.00004u saved
(0 real changes made)
(0 real changes made)
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.00004v saved
(0 real changes made)
(0 real changes made)
(31,479 observations deleted)

{p 0 4}{txt}Duplicates in terms of {txt} all variables{p_end}

(0 observations are duplicates)
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.00004w saved
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.00004x saved
(0 real changes made)
(0 real changes made)
(37,780 observations deleted)

{p 0 4}{txt}Duplicates in terms of {txt} all variables{p_end}

(0 observations are duplicates)
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.000050 saved
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.000051 saved
(0 real changes made)
(0 real changes made)
(84,508 observations deleted)

{p 0 4}{txt}Duplicates in terms of {txt} all variables{p_end}

(0 observations are duplicates)
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.000052 saved
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.000053 saved
(0 real changes made)
(0 real changes made)
(89,038 observations deleted)

{p 0 4}{txt}Duplicates in terms of {txt} all variables{p_end}

(0 observations are duplicates)
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.000054 saved
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.000055 saved
(0 real changes made)
(0 real changes made)
(41,071 observations deleted)

{p 0 4}{txt}Duplicates in terms of {txt} all variables{p_end}

(0 observations are duplicates)
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.000056 saved
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.000057 saved
(0 real changes made)
(0 real changes made)
(49,512 observations deleted)

{p 0 4}{txt}Duplicates in terms of {txt} all variables{p_end}

(0 observations are duplicates)
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.000058 saved
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.000059 saved
(2 real changes made)
(6 real changes made)
(65,183 observations deleted)

{p 0 4}{txt}Duplicates in terms of {txt} all variables{p_end}

(0 observations are duplicates)
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.00005a saved
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.00005b saved
(4 real changes made)
(17 real changes made)
(71,917 observations deleted)

{p 0 4}{txt}Duplicates in terms of {txt} all variables{p_end}

(0 observations are duplicates)
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.00005c saved
(0 real changes made)
(0 real changes made)
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.00005d saved
(0 real changes made)
(0 real changes made)
(52,690 observations deleted)

{p 0 4}{txt}Duplicates in terms of {txt} all variables{p_end}

(0 observations are duplicates)
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.00005e saved
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.00005f saved
(2 real changes made)
(1 real change made)
(54,345 observations deleted)

{p 0 4}{txt}Duplicates in terms of {txt} all variables{p_end}

(0 observations are duplicates)
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.00005g saved
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.00005h saved
(0 real changes made)
(0 real changes made)
(43,620 observations deleted)

{p 0 4}{txt}Duplicates in terms of {txt} all variables{p_end}

(0 observations are duplicates)
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.00005i saved
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.00005j saved
(0 real changes made)
(0 real changes made)
(62,422 observations deleted)

{p 0 4}{txt}Duplicates in terms of {txt} all variables{p_end}

(0 observations are duplicates)
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.00005k saved
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.00005l saved
(0 real changes made)
(0 real changes made)
(61,862 observations deleted)

{p 0 4}{txt}Duplicates in terms of {txt} all variables{p_end}

(0 observations are duplicates)
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.00005m saved
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.00005n saved
(0 real changes made)
(0 real changes made)
(72,895 observations deleted)

{p 0 4}{txt}Duplicates in terms of {txt} all variables{p_end}

(0 observations are duplicates)
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.00005o saved
(0 real changes made)
(0 real changes made)
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.00005p saved
(0 real changes made)
(0 real changes made)
(62,506 observations deleted)

{p 0 4}{txt}Duplicates in terms of {txt} all variables{p_end}

(0 observations are duplicates)
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.00005q saved
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.00005r saved
(2 real changes made)
(1 real change made)
(59,406 observations deleted)

{p 0 4}{txt}Duplicates in terms of {txt} all variables{p_end}

(0 observations are duplicates)
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.00005s saved
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.00005t saved
(0 real changes made)
(0 real changes made)
(116,149 observations deleted)

{p 0 4}{txt}Duplicates in terms of {txt} all variables{p_end}

(0 observations are duplicates)
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.00005u saved
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.00005v saved
(0 real changes made)
(0 real changes made)
(117,621 observations deleted)

{p 0 4}{txt}Duplicates in terms of {txt} all variables{p_end}

(0 observations are duplicates)
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.00005w saved
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.00005x saved
(0 real changes made)
(0 real changes made)
(30,636 observations deleted)

{p 0 4}{txt}Duplicates in terms of {txt} all variables{p_end}

(0 observations are duplicates)
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.000060 saved
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.000061 saved
(0 real changes made)
(0 real changes made)
(41,613 observations deleted)

{p 0 4}{txt}Duplicates in terms of {txt} all variables{p_end}

(0 observations are duplicates)
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.000062 saved
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.000063 saved
(0 real changes made)
(0 real changes made)
(40,806 observations deleted)

{p 0 4}{txt}Duplicates in terms of {txt} all variables{p_end}

(0 observations are duplicates)
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.000064 saved
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.000065 saved
(0 real changes made)
(0 real changes made)
(36,089 observations deleted)

{p 0 4}{txt}Duplicates in terms of {txt} all variables{p_end}

(0 observations are duplicates)
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.000066 saved
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.000067 saved
(0 real changes made)
(0 real changes made)
(46,531 observations deleted)

{p 0 4}{txt}Duplicates in terms of {txt} all variables{p_end}

(0 observations are duplicates)
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.000068 saved
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.000069 saved
(0 real changes made)
(0 real changes made)
(62,977 observations deleted)

{p 0 4}{txt}Duplicates in terms of {txt} all variables{p_end}

(0 observations are duplicates)
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.00006a saved
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.00006b saved
(0 real changes made)
(0 real changes made)
(35,088 observations deleted)

{p 0 4}{txt}Duplicates in terms of {txt} all variables{p_end}

(0 observations are duplicates)
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.00006c saved
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.00006d saved
(8 real changes made)
(12 real changes made)
(156,719 observations deleted)

{p 0 4}{txt}Duplicates in terms of {txt} all variables{p_end}

(0 observations are duplicates)
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.00006e saved
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.00006f saved
(0 real changes made)
(0 real changes made)
(175,716 observations deleted)

{p 0 4}{txt}Duplicates in terms of {txt} all variables{p_end}

(0 observations are duplicates)
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.00006g saved
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.00006h saved
(0 real changes made)
(0 real changes made)
(185,293 observations deleted)

{p 0 4}{txt}Duplicates in terms of {txt} all variables{p_end}

(0 observations are duplicates)
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.00006i saved
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.00006j saved
(7 real changes made)
(21 real changes made)
(63,850 observations deleted)

{p 0 4}{txt}Duplicates in terms of {txt} all variables{p_end}

(0 observations are duplicates)
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.00006k saved
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.00006l saved
(0 real changes made)
(0 real changes made)
(46,747 observations deleted)

{p 0 4}{txt}Duplicates in terms of {txt} all variables{p_end}

(0 observations are duplicates)
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.00006m saved
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.00006n saved
(0 real changes made)
(0 real changes made)
(43,178 observations deleted)

{p 0 4}{txt}Duplicates in terms of {txt} all variables{p_end}

(0 observations are duplicates)
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.00006o saved
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.00006p saved
(0 real changes made)
(0 real changes made)
(49,179 observations deleted)

{p 0 4}{txt}Duplicates in terms of {txt} all variables{p_end}

(0 observations are duplicates)
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.00006q saved
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.00006r saved
(0 real changes made)
(0 real changes made)
(48,614 observations deleted)

{p 0 4}{txt}Duplicates in terms of {txt} all variables{p_end}

(0 observations are duplicates)
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.00006s saved
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.00006t saved
(0 real changes made)
(0 real changes made)
(56,479 observations deleted)

{p 0 4}{txt}Duplicates in terms of {txt} all variables{p_end}

(0 observations are duplicates)
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.00006u saved
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.00006v saved
(0 real changes made)
(0 real changes made)
(92,517 observations deleted)

{p 0 4}{txt}Duplicates in terms of {txt} all variables{p_end}

(0 observations are duplicates)
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.00006w saved
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.00006x saved
(0 real changes made)
(0 real changes made)
(65,766 observations deleted)

{p 0 4}{txt}Duplicates in terms of {txt} all variables{p_end}

(0 observations are duplicates)
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.000070 saved
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.000071 saved
(8 real changes made)
(7 real changes made)
(139,229 observations deleted)

{p 0 4}{txt}Duplicates in terms of {txt} all variables{p_end}

(0 observations are duplicates)
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.000072 saved
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.000073 saved
(1 real change made)
(2 real changes made)
(61,566 observations deleted)

{p 0 4}{txt}Duplicates in terms of {txt} all variables{p_end}

(0 observations are duplicates)
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.000074 saved
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.000075 saved
(61 real changes made)
(520 real changes made)
(78,697 observations deleted)

{p 0 4}{txt}Duplicates in terms of {txt} all variables{p_end}

(0 observations are duplicates)
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.000076 saved
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.000077 saved
(0 real changes made)
(0 real changes made)
(44,726 observations deleted)

{p 0 4}{txt}Duplicates in terms of {txt} all variables{p_end}

(0 observations are duplicates)
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.000078 saved
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.000079 saved
(0 real changes made)
(0 real changes made)
(47,156 observations deleted)

{p 0 4}{txt}Duplicates in terms of {txt} all variables{p_end}

(0 observations are duplicates)
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.00007a saved
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.00007b saved
(0 real changes made)
(0 real changes made)
(55,785 observations deleted)

{p 0 4}{txt}Duplicates in terms of {txt} all variables{p_end}

(0 observations are duplicates)
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.00007c saved
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.00007d saved
(0 real changes made)
(0 real changes made)
(54,316 observations deleted)

{p 0 4}{txt}Duplicates in terms of {txt} all variables{p_end}

(0 observations are duplicates)
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.00007e saved
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.00007f saved
(0 real changes made)
(0 real changes made)
(55,323 observations deleted)

{p 0 4}{txt}Duplicates in terms of {txt} all variables{p_end}

(0 observations are duplicates)
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.00007g saved
(0 real changes made)
(0 real changes made)
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.00007h saved
(0 real changes made)
(0 real changes made)
(67,918 observations deleted)

{p 0 4}{txt}Duplicates in terms of {txt} all variables{p_end}

(0 observations are duplicates)
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.00007i saved
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.00007j saved
(0 real changes made)
(0 real changes made)
(76,349 observations deleted)

{p 0 4}{txt}Duplicates in terms of {txt} all variables{p_end}

(0 observations are duplicates)
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.00007k saved
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.00007l saved
(0 real changes made)
(0 real changes made)
(40,371 observations deleted)

{p 0 4}{txt}Duplicates in terms of {txt} all variables{p_end}

(0 observations are duplicates)
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.00007m saved
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.00007n saved
(0 real changes made)
(0 real changes made)
(41,719 observations deleted)

{p 0 4}{txt}Duplicates in terms of {txt} all variables{p_end}

(0 observations are duplicates)
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.00007o saved
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.00007p saved
(0 real changes made)
(0 real changes made)
(41,179 observations deleted)

{p 0 4}{txt}Duplicates in terms of {txt} all variables{p_end}

(0 observations are duplicates)
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.00007q saved
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.00007r saved
(0 real changes made)
(0 real changes made)
(78,461 observations deleted)

{p 0 4}{txt}Duplicates in terms of {txt} all variables{p_end}

(0 observations are duplicates)
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.00007s saved
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.00007t saved
(0 real changes made)
(0 real changes made)
(43,140 observations deleted)

{p 0 4}{txt}Duplicates in terms of {txt} all variables{p_end}

(0 observations are duplicates)
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.00007u saved
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.00007v saved
(0 real changes made)
(0 real changes made)
(40,634 observations deleted)

{p 0 4}{txt}Duplicates in terms of {txt} all variables{p_end}

(0 observations are duplicates)
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.00007w saved
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.00007x saved
(0 real changes made)
(0 real changes made)
(40,596 observations deleted)

{p 0 4}{txt}Duplicates in terms of {txt} all variables{p_end}

(0 observations are duplicates)
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.000080 saved
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.000081 saved
(0 real changes made)
(0 real changes made)
(73,521 observations deleted)

{p 0 4}{txt}Duplicates in terms of {txt} all variables{p_end}

(0 observations are duplicates)
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.000082 saved
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.000083 saved
(0 real changes made)
(0 real changes made)
(70,824 observations deleted)

{p 0 4}{txt}Duplicates in terms of {txt} all variables{p_end}

(0 observations are duplicates)
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.000084 saved
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.000085 saved
(0 real changes made)
(0 real changes made)
(36,396 observations deleted)

{p 0 4}{txt}Duplicates in terms of {txt} all variables{p_end}

(0 observations are duplicates)
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.000086 saved
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.000087 saved
(0 real changes made)
(0 real changes made)
(29,188 observations deleted)

{p 0 4}{txt}Duplicates in terms of {txt} all variables{p_end}

(0 observations are duplicates)
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.000088 saved
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.000089 saved
(0 real changes made)
(0 real changes made)
(97,613 observations deleted)

{p 0 4}{txt}Duplicates in terms of {txt} all variables{p_end}

(0 observations are duplicates)
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.00008a saved
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.00008b saved
(0 real changes made)
(0 real changes made)
(43,213 observations deleted)

{p 0 4}{txt}Duplicates in terms of {txt} all variables{p_end}

(0 observations are duplicates)
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.00008c saved
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.00008d saved
(0 real changes made)
(0 real changes made)
(45,703 observations deleted)

{p 0 4}{txt}Duplicates in terms of {txt} all variables{p_end}

(0 observations are duplicates)
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.00008e saved
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.00008f saved
(0 real changes made)
(0 real changes made)
(67,053 observations deleted)

{p 0 4}{txt}Duplicates in terms of {txt} all variables{p_end}

(0 observations are duplicates)
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.00008g saved
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.00008h saved
(0 real changes made)
(0 real changes made)
(60,261 observations deleted)

{p 0 4}{txt}Duplicates in terms of {txt} all variables{p_end}

(0 observations are duplicates)
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.00008i saved
(0 real changes made)
(0 real changes made)
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.00008j saved
(0 real changes made)
(0 real changes made)
(39,274 observations deleted)

{p 0 4}{txt}Duplicates in terms of {txt} all variables{p_end}

(0 observations are duplicates)
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.00008k saved
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.00008l saved
(0 real changes made)
(0 real changes made)
(49,200 observations deleted)

{p 0 4}{txt}Duplicates in terms of {txt} all variables{p_end}

(0 observations are duplicates)
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.00008m saved
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.00008n saved
(0 real changes made)
(0 real changes made)
(49,777 observations deleted)

{p 0 4}{txt}Duplicates in terms of {txt} all variables{p_end}

(0 observations are duplicates)
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.00008o saved
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.00008p saved
(0 real changes made)
(0 real changes made)
(63,800 observations deleted)

{p 0 4}{txt}Duplicates in terms of {txt} all variables{p_end}

(0 observations are duplicates)
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.00008q saved
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.00008r saved
(0 real changes made)
(0 real changes made)
(72,477 observations deleted)

{p 0 4}{txt}Duplicates in terms of {txt} all variables{p_end}

(0 observations are duplicates)
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.00008s saved
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.00008t saved
(0 real changes made)
(0 real changes made)
(35,189 observations deleted)

{p 0 4}{txt}Duplicates in terms of {txt} all variables{p_end}

(0 observations are duplicates)
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.00008u saved
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.00008v saved
(0 real changes made)
(0 real changes made)
(37,439 observations deleted)

{p 0 4}{txt}Duplicates in terms of {txt} all variables{p_end}

(0 observations are duplicates)
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.00008w saved
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.00008x saved
(0 real changes made)
(0 real changes made)
(44,841 observations deleted)

{p 0 4}{txt}Duplicates in terms of {txt} all variables{p_end}

(0 observations are duplicates)
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.000090 saved
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.000091 saved
(0 real changes made)
(0 real changes made)
(44,200 observations deleted)

{p 0 4}{txt}Duplicates in terms of {txt} all variables{p_end}

(0 observations are duplicates)
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.000092 saved
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.000093 saved
(0 real changes made)
(0 real changes made)
(90,090 observations deleted)

{p 0 4}{txt}Duplicates in terms of {txt} all variables{p_end}

(0 observations are duplicates)
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.000094 saved
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.000095 saved
(0 real changes made)
(0 real changes made)
(33,540 observations deleted)

{p 0 4}{txt}Duplicates in terms of {txt} all variables{p_end}

(0 observations are duplicates)
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.000096 saved
(0 real changes made)
(0 real changes made)
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.000097 saved
(0 real changes made)
(0 real changes made)
(38,340 observations deleted)

{p 0 4}{txt}Duplicates in terms of {txt} all variables{p_end}

(0 observations are duplicates)
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.000098 saved
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.000099 saved
(0 real changes made)
(0 real changes made)
(39,041 observations deleted)

{p 0 4}{txt}Duplicates in terms of {txt} all variables{p_end}

(0 observations are duplicates)
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.00009a saved
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.00009b saved
(0 real changes made)
(0 real changes made)
(37,408 observations deleted)

{p 0 4}{txt}Duplicates in terms of {txt} all variables{p_end}

(0 observations are duplicates)
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.00009c saved
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.00009d saved
(0 real changes made)
(0 real changes made)
(29,665 observations deleted)

{p 0 4}{txt}Duplicates in terms of {txt} all variables{p_end}

(0 observations are duplicates)
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.00009e saved
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.00009f saved
(0 real changes made)
(0 real changes made)
(27,977 observations deleted)

{p 0 4}{txt}Duplicates in terms of {txt} all variables{p_end}

(0 observations are duplicates)
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.00009g saved

{com}.                         
.                 use "`data1'", clear
{txt}
{com}.                 
.                 forvalues x = 2/`z' {c -(}
{txt}  2{com}.                 
.                         append using "`data`x''"
{txt}  3{com}.                         
.                         {c )-}
{txt}
{com}.                         
.                 export excel using "$comploc/supervisor_data.xlsx", sheet("by_cluster") sheetmod first(var)
{res}{txt}file /Users/fredericcochinard/Dropbox/Age bunching/Data/compiled//supervisor_data.xlsx saved

{com}.                 
.                 use "`sdata1'", clear
{txt}
{com}.                 
.                 forvalues x = 2/`z2' {c -(}
{txt}  2{com}.                 
.                         append using "`sdata`x''"
{txt}  3{com}.                         
.                         {c )-}
{txt}
{com}.                         
.                 export excel using "$comploc/supervisor_data.xlsx", sheet("fired_ratio") sheetmod first(var)
{res}{txt}file /Users/fredericcochinard/Dropbox/Age bunching/Data/compiled//supervisor_data.xlsx saved

{com}.                 
. 
{txt}end of do-file

{com}. do "/var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//SD44938.000000"
{txt}
{com}. 
.         
.         * Loop over DHS datasets
.         ********************************************************************************
. 
.         cap clear all
{txt}
{com}.         set scheme s1mono
{txt}
{com}. 
.         * Collecting the country and year of file
. 
.         filelist , dir("$rawloc") pat("*.DTA")
{res}{txt}Number of files found = {res}2392
{txt}
{com}.         
.         preserve
{txt}
{com}.         
.         filelist , dir("$rawloc") pat("*.dta")
{res}{txt}Number of files found = {res}2840
{txt}
{com}.         
.         * We drop special case from MOZ
.         
.         drop if regexm(filename,"MOZ_population_statistics")
{txt}(0 observations deleted)

{com}.         
.         tempfile file
{txt}
{com}.         sa "`file'"
{txt}file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.000002 saved

{com}.         
.         restore
{txt}
{com}.         
.         append using "`file'"
{txt}{p 0 7 2}
(note: variable
dirname was 
str101, now str258 to accommodate using data's values)
{p_end}
{p 0 7 2}
(note: variable
filename was 
str33, now str70 to accommodate using data's values)
{p_end}

{com}. 
.         * We only select the DHS
.         
.         gen kept = 0
{txt}
{com}.         replace kept = 1 if regexm(dirname,"DHS") | regexm(dirname,"MIS") | regexm(dirname,"KAP") | regexm(dirname,"AIS")
{txt}(2,695 real changes made)

{com}.         
.         keep if kept == 1
{txt}(2,537 observations deleted)

{com}.         drop if regexm(dirname,"_other_surveys")
{txt}(24 observations deleted)

{com}.         
.         split dirname, p("//")
{res}variables created as string: 
{txt}{col 1}dirname1{col 11}dirname2

{com}.         
.         keep dirname dirname2 filename
{txt}
{com}.         ren dirname2 temp
{res}{txt}
{com}.         split temp, p("/")
{res}variables created as string: 
{txt}{col 1}temp1{col 8}temp2{col 15}temp3{col 22}temp4{col 29}temp5{col 36}temp6{col 43}temp7{col 50}temp8

{com}.         
.         keep dirname filename temp1 temp2
{txt}
{com}.         ren temp1 country
{res}{txt}
{com}.         
.         replace temp2 = subinstr(temp2,"DHS_","",.)
{txt}(2,413 real changes made)

{com}.         replace temp2 = subinstr(temp2,"MIS_","",.)
{txt}(140 real changes made)

{com}.         replace temp2 = subinstr(temp2,"KAP_","",.)
{txt}(5 real changes made)

{com}.         replace temp2 = subinstr(temp2,"AIS_","",.)
{txt}(16 real changes made)

{com}.         ren temp2 temp
{res}{txt}
{com}.         split temp, p("-")
{res}variables created as string: 
{txt}{col 1}temp1{col 8}temp2

{com}.         drop temp temp2
{txt}
{com}.         ren temp1 year
{res}{txt}
{com}.         
.         * We load the excel information document
.         
.         preserve
{txt}
{com}.         
.         use "$comploc/survey_age_thresholds_dhs.dta", clear
{txt}
{com}.         
.         fre hiv_prob_men men_prob
{res}
{txt}hiv_prob_men
{txt}{hline 13}{hline 1}{c TT}{hline 44}
{txt}        {txt}      {c |}      Freq.    Percent      Valid       Cum.
{txt}{hline 13}{hline 1}{c +}{hline 44}
{txt}Valid   0     {c |}{res}        301      78.18      78.18      78.18
{txt}        .14   {c |}{res}          2       0.52       0.52      78.70
{txt}        .18   {c |}{res}          1       0.26       0.26      78.96
{txt}        .33   {c |}{res}         11       2.86       2.86      81.82
{txt}        .38   {c |}{res}          1       0.26       0.26      82.08
{txt}        .5    {c |}{res}         40      10.39      10.39      92.47
{txt}        .67   {c |}{res}          4       1.04       1.04      93.51
{txt}        1     {c |}{res}         25       6.49       6.49     100.00
{txt}        Total {c |}{res}        385     100.00     100.00           
{txt}{hline 13}{hline 1}{c BT}{hline 44}
{res}
{txt}men_prob {hline 2} men_prob
{txt}{hline 13}{hline 1}{c TT}{hline 44}
{txt}        {txt}      {c |}      Freq.    Percent      Valid       Cum.
{txt}{hline 13}{hline 1}{c +}{hline 44}
{txt}Valid   0     {c |}{res}        155      40.26      40.36      40.36
{txt}        .08   {c |}{res}          1       0.26       0.26      40.62
{txt}        .14   {c |}{res}          3       0.78       0.78      41.41
{txt}        .2    {c |}{res}          2       0.52       0.52      41.93
{txt}        .25   {c |}{res}          8       2.08       2.08      44.01
{txt}        .32   {c |}{res}          1       0.26       0.26      44.27
{txt}        .33   {c |}{res}         69      17.92      17.97      62.24
{txt}        .37   {c |}{res}          1       0.26       0.26      62.50
{txt}        .38   {c |}{res}          1       0.26       0.26      62.76
{txt}        .4    {c |}{res}          1       0.26       0.26      63.02
{txt}        .5    {c |}{res}         91      23.64      23.70      86.72
{txt}        .67   {c |}{res}          5       1.30       1.30      88.02
{txt}        1     {c |}{res}         46      11.95      11.98     100.00
{txt}        Total {c |}{res}        384      99.74     100.00           
{txt}Missing .     {c |}{res}          1       0.26                      
{txt}Total         {c |}{res}        385     100.00                      
{txt}{hline 13}{hline 1}{c BT}{hline 44}

{com}.         
.         gen MQsample_check=0
{txt}
{com}.         replace MQsample_check=1 if men_prob<1 & men_prob>0 & hiv_prob_men!=men_prob
{txt}(127 real changes made)

{com}.         tab MQsampl*

           {txt}{c |}    MQsample_check
  MQsample {c |}         0          1 {c |}     Total
{hline 11}{c +}{hline 22}{c +}{hline 10}
         0 {c |}{res}       202          7 {txt}{c |}{res}       209 
{txt}         1 {c |}{res}        56        120 {txt}{c |}{res}       176 
{txt}{hline 11}{c +}{hline 22}{c +}{hline 10}
     Total {c |}{res}       258        127 {txt}{c |}{res}       385 

{txt}
{com}.         
.         gen HIVsample = 0
{txt}
{com}.         replace HIVsample = 1 if hiv_prob_men<1 & hiv_prob_men>0
{txt}(59 real changes made)

{com}.         
.         keep country year women_lower men_lower women_upper men_upper MQsample BMsample HIVsample men_prob
{txt}
{com}.         
.         keep if MQsample == 1 | BMsample == 1
{txt}(195 observations deleted)

{com}. 
.         tostring year, replace
{txt}year was {res:int} now {res:str4}

{com}.         order country year, first
{txt}
{com}.                 
.         * Checking the number of surveys
. 
.         duplicates drop

{p 0 4}{txt}Duplicates in terms of {txt} all variables{p_end}

(0 observations are duplicates)

{com}.         duplicates tag country year, gen(dup)

{p 0 4}{txt}Duplicates in terms of {res} country year{p_end}
{txt}
{com}.         
.         count
  {res}190
{txt}
{com}.         
.         tempfile info
{txt}
{com}.         sa "`info'"
{txt}file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.000004 saved

{com}.         
.         restore
{txt}
{com}.         
.         merge m:1 country year using "`info'"
{res}
{txt}{col 5}Result{col 38}# of obs.
{col 5}{hline 41}
{col 5}not matched{col 30}{res}           1,244
{txt}{col 9}from master{col 30}{res}           1,243{txt}  (_merge==1)
{col 9}from using{col 30}{res}               1{txt}  (_merge==2)

{col 5}matched{col 30}{res}           1,428{txt}  (_merge==3)
{col 5}{hline 41}

{com}.         
.         drop if _merge == 2
{txt}(1 observation deleted)

{com}. 
.         ren _merge merge1
{res}{txt}
{com}.         
.         * n_women_sample
.         
.         preserve
{txt}
{com}.         
.         use "${c -(}comploc{c )-}dhs_census_pairs.dta", clear
{txt}
{com}.         
.         keep country year_dhs n_women_sample
{txt}
{com}. 
.         drop if n_women_sample == 0
{txt}(29 observations deleted)

{com}. 
.         ren year_dhs year
{res}{txt}
{com}.         tostring year, replace
{txt}year was {res:int} now {res:str4}

{com}.         
.         duplicates drop

{p 0 4}{txt}Duplicates in terms of {txt} all variables{p_end}

(0 observations are duplicates)

{com}.         
.         tempfile pairs
{txt}
{com}.         sa "`pairs'"
{txt}file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.000006 saved

{com}.         
.         restore
{txt}
{com}.         
.         merge m:1 country year using "`pairs'"
{res}
{txt}{col 5}Result{col 38}# of obs.
{col 5}{hline 41}
{col 5}not matched{col 30}{res}           2,223
{txt}{col 9}from master{col 30}{res}           2,223{txt}  (_merge==1)
{col 9}from using{col 30}{res}               0{txt}  (_merge==2)

{col 5}matched{col 30}{res}             448{txt}  (_merge==3)
{col 5}{hline 41}

{com}.         
.         drop _merge
{txt}
{com}.         
.         * Eligible
.         
.         preserve
{txt}
{com}.         
.         use "${c -(}comploc{c )-}census_dhs_pairs.dta", clear
{txt}
{com}.         
.         keep country year_dhs women_lower men_lower women_upper men_upper eligible
{txt}
{com}.         
.         foreach var in women_lower men_lower women_upper men_upper eligible {c -(}
{txt}  2{com}.         
.                 ren `var' `var'_p
{txt}  3{com}.                 
.                 {c )-}
{res}{txt}
{com}.         
.         drop if eligible == 0
{txt}(62 observations deleted)

{com}. 
.         ren year_dhs year
{res}{txt}
{com}.         tostring year, replace
{txt}year was {res:int} now {res:str4}

{com}.         
.         duplicates drop

{p 0 4}{txt}Duplicates in terms of {txt} all variables{p_end}

(0 observations are duplicates)

{com}.         drop if country == "BGD" & women_lower_p == "13"
{txt}(0 observations deleted)

{com}. 
.         tempfile pairs
{txt}
{com}.         sa "`pairs'"
{txt}file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.000008 saved

{com}.         
.         restore
{txt}
{com}.         
.         merge m:1 country year using "`pairs'"
{res}
{txt}{col 5}Result{col 38}# of obs.
{col 5}{hline 41}
{col 5}not matched{col 30}{res}           2,497
{txt}{col 9}from master{col 30}{res}           2,497{txt}  (_merge==1)
{col 9}from using{col 30}{res}               0{txt}  (_merge==2)

{col 5}matched{col 30}{res}             174{txt}  (_merge==3)
{col 5}{hline 41}

{com}. 
.         drop if _merge == 2
{txt}(0 observations deleted)

{com}. 
.         gen test = 0
{txt}
{com}.         replace test = 1 if MQsample == 1
{txt}(1,349 real changes made)

{com}.         drop if test == 0
{txt}(1,322 observations deleted)

{com}.         
.         keep country year
{txt}
{com}.         duplicates drop

{p 0 4}{txt}Duplicates in terms of {txt} all variables{p_end}

(1,173 observations deleted)

{com}.         
.         gen level = country + "_DHS_" + year + "_clean.dta"
{txt}
{com}.         
.         levelsof level
{txt}`"AFG_DHS_2015_clean.dta"' `"AGO_DHS_2015_clean.dta"' `"ALB_DHS_2008_clean.dta"' `"ALB_DHS_2017_clean.dta"' `"ARM_DHS_2000_clean.dta"' `"ARM_DHS_2005_clean.dta"' `"ARM_DHS_2010_clean.dta"' `"ARM_DHS_2015_clean.dta"' `"AZE_DHS_2006_clean.dta"' `"BDI_DHS_2010_clean.dta"' `"BDI_DHS_2016_clean.dta"' `"BEN_DHS_1996_clean.dta"' `"BEN_DHS_2001_clean.dta"' `"BEN_DHS_2006_clean.dta"' `"BEN_DHS_2011_clean.dta"' `"BEN_DHS_2017_clean.dta"' `"BFA_DHS_1993_clean.dta"' `"BFA_DHS_1998_clean.dta"' `"BFA_DHS_2003_clean.dta"' `"BFA_DHS_2010_clean.dta"' `"BFA_DHS_2021_clean.dta"' `"BGD_DHS_1996_clean.dta"' `"BGD_DHS_1999_clean.dta"' `"BGD_DHS_2004_clean.dta"' `"BGD_DHS_2007_clean.dta"' `"BGD_DHS_2011_clean.dta"' `"BOL_DHS_1998_clean.dta"' `"BOL_DHS_2003_clean.dta"' `"BOL_DHS_2008_clean.dta"' `"BRA_DHS_1996_clean.dta"' `"CAF_DHS_1994_clean.dta"' `"CIV_DHS_1994_clean.dta"' `"CIV_DHS_1998_clean.dta"' `"CIV_DHS_2011_clean.dta"' `"CIV_DHS_2021_clean.dta"' `"CMR_DHS_1998_clean.dta"' `"CMR_DHS_2004_clean.dta"' `"CMR_DHS_2011_clean.dta"' `"CMR_DHS_2018_clean.dta"' `"COD_DHS_2007_clean.dta"' `"COD_DHS_2013_clean.dta"' `"COG_DHS_2005_clean.dta"' `"COG_DHS_2011_clean.dta"' `"COM_DHS_1996_clean.dta"' `"COM_DHS_2012_clean.dta"' `"DOM_DHS_2002_clean.dta"' `"ETH_DHS_2000_clean.dta"' `"ETH_DHS_2005_clean.dta"' `"GAB_DHS_2000_clean.dta"' `"GAB_DHS_2012_clean.dta"' `"GAB_DHS_2019_clean.dta"' `"GHA_DHS_1993_clean.dta"' `"GHA_DHS_1998_clean.dta"' `"GHA_DHS_2008_clean.dta"' `"GHA_DHS_2014_clean.dta"' `"GIN_DHS_1999_clean.dta"' `"GIN_DHS_2005_clean.dta"' `"GIN_DHS_2012_clean.dta"' `"GIN_DHS_2018_clean.dta"' `"GMB_DHS_2013_clean.dta"' `"GMB_DHS_2019_clean.dta"' `"GTM_DHS_2014_clean.dta"' `"HND_DHS_2011_clean.dta"' `"HTI_DHS_1994_clean.dta"' `"HTI_DHS_2000_clean.dta"' `"HTI_DHS_2005_clean.dta"' `"HTI_DHS_2012_clean.dta"' `"IDN_DHS_2002_clean.dta"' `"IDN_DHS_2007_clean.dta"' `"IDN_DHS_2012_clean.dta"' `"IDN_DHS_2017_clean.dta"' `"IND_DHS_2005_clean.dta"' `"IND_DHS_2015_clean.dta"' `"IND_DHS_2019_clean.dta"' `"JOR_DHS_2017_clean.dta"' `"KAZ_DHS_1999_clean.dta"' `"KEN_DHS_1993_clean.dta"' `"KEN_DHS_1998_clean.dta"' `"KEN_DHS_2003_clean.dta"' `"KEN_DHS_2008_clean.dta"' `"KEN_DHS_2014_clean.dta"' `"KEN_DHS_2022_clean.dta"' `"KGZ_DHS_2012_clean.dta"' `"KHM_DHS_2005_clean.dta"' `"KHM_DHS_2010_clean.dta"' `"KHM_DHS_2014_clean.dta"' `"KHM_DHS_2021_clean.dta"' `"LBR_DHS_2013_clean.dta"' `"LBR_DHS_2019_clean.dta"' `"LSO_DHS_2004_clean.dta"' `"LSO_DHS_2009_clean.dta"' `"LSO_DHS_2014_clean.dta"' `"MAR_DHS_1992_clean.dta"' `"MDA_DHS_2005_clean.dta"' `"MDG_DHS_2003_clean.dta"' `"MDG_DHS_2008_clean.dta"' `"MDG_DHS_2021_clean.dta"' `"MDV_DHS_2009_clean.dta"' `"MLI_DHS_1995_clean.dta"' `"MLI_DHS_2001_clean.dta"' `"MLI_DHS_2006_clean.dta"' `"MLI_DHS_2012_clean.dta"' `"MLI_DHS_2018_clean.dta"' `"MMR_DHS_2015_clean.dta"' `"MOZ_DHS_1997_clean.dta"' `"MOZ_DHS_2003_clean.dta"' `"MOZ_DHS_2011_clean.dta"' `"MRT_DHS_2019_clean.dta"' `"MWI_DHS_1992_clean.dta"' `"MWI_DHS_2000_clean.dta"' `"MWI_DHS_2004_clean.dta"' `"MWI_DHS_2010_clean.dta"' `"MWI_DHS_2015_clean.dta"' `"NAM_DHS_2000_clean.dta"' `"NAM_DHS_2006_clean.dta"' `"NAM_DHS_2013_clean.dta"' `"NER_DHS_1998_clean.dta"' `"NER_DHS_2006_clean.dta"' `"NER_DHS_2012_clean.dta"' `"NGA_DHS_2003_clean.dta"' `"NGA_DHS_2008_clean.dta"' `"NGA_DHS_2013_clean.dta"' `"NGA_DHS_2018_clean.dta"' `"NIC_DHS_1998_clean.dta"' `"NPL_DHS_2001_clean.dta"' `"NPL_DHS_2006_clean.dta"' `"NPL_DHS_2011_clean.dta"' `"NPL_DHS_2016_clean.dta"' `"NPL_DHS_2022_clean.dta"' `"PAK_DHS_2012_clean.dta"' `"PAK_DHS_2017_clean.dta"' `"PER_DHS_1996_clean.dta"' `"PHL_DHS_2003_clean.dta"' `"PNG_DHS_2016_clean.dta"' `"RWA_DHS_2000_clean.dta"' `"RWA_DHS_2005_clean.dta"' `"RWA_DHS_2010_clean.dta"' `"RWA_DHS_2014_clean.dta"' `"RWA_DHS_2019_clean.dta"' `"SEN_DHS_1992_clean.dta"' `"SEN_DHS_2005_clean.dta"' `"SEN_DHS_2010_clean.dta"' `"SEN_DHS_2014_clean.dta"' `"SEN_DHS_2015_clean.dta"' `"SEN_DHS_2016_clean.dta"' `"SEN_DHS_2017_clean.dta"' `"SEN_DHS_2018_clean.dta"' `"SEN_DHS_2019_clean.dta"' `"SLE_DHS_2008_clean.dta"' `"SLE_DHS_2013_clean.dta"' `"SLE_DHS_2019_clean.dta"' `"TCD_DHS_1996_clean.dta"' `"TCD_DHS_2004_clean.dta"' `"TCD_DHS_2014_clean.dta"' `"TGO_DHS_1998_clean.dta"' `"TGO_DHS_2013_clean.dta"' `"TLS_DHS_2009_clean.dta"' `"TLS_DHS_2016_clean.dta"' `"TZA_DHS_1991_clean.dta"' `"TZA_DHS_1996_clean.dta"' `"TZA_DHS_2004_clean.dta"' `"TZA_DHS_2010_clean.dta"' `"TZA_DHS_2015_clean.dta"' `"TZA_DHS_2022_clean.dta"' `"UGA_DHS_1995_clean.dta"' `"UGA_DHS_2000_clean.dta"' `"UGA_DHS_2006_clean.dta"' `"UGA_DHS_2011_clean.dta"' `"UGA_DHS_2016_clean.dta"' `"UKR_DHS_2007_clean.dta"' `"UZB_DHS_2002_clean.dta"' `"ZAF_DHS_2016_clean.dta"' `"ZMB_DHS_1996_clean.dta"' `"ZMB_DHS_2001_clean.dta"' `"ZWE_DHS_1994_clean.dta"' `"ZWE_DHS_1999_clean.dta"'

{com}. 
.         local lvlfiles `r(levels)'
{txt}
{com}.         
.         local z = 0
{txt}
{com}.         local z2 = 0
{txt}
{com}.         
.         foreach lvl of local lvlfiles {c -(}
{txt}  2{com}.         
.                 local temp : subinstr local lvl `"""' "", all
{txt}  3{com}.                 local lvl: subinstr local temp "'" "", all
{txt}  4{com}.                 
.                 use "$cleanloc/`lvl'", clear
{txt}  5{com}.         
.                 * We work on the supervisor and time
.                 
.                 qui fre supervisor_id
{txt}  6{com}.                 
.                 if `r(r_valid)' != 0 {c -(}
{txt}  7{com}.                 
.                         qui fre start_time_hha 
{txt}  8{com}.                         
.                                 if `r(r_valid)' != 0 {c -(}
{txt}  9{com}.                         
.                                         qui local z = `z' + 1
{txt} 10{com}.                                 
.                                         qui keep id01_cluster supervisor_id start_time_hha
{txt} 11{com}.                                         qui duplicates drop
{txt} 12{com}.                                         qui duplicates tag supervisor_id start_time_hha, gen(tag)
{txt} 13{com}.                                         qui keep supervisor_id tag
{txt} 14{com}.                                         qui duplicates drop
{txt} 15{com}.                                         qui byso supervisor_id: egen num_cluster_sametime = max(tag)
{txt} 16{com}.                                         qui keep supervisor_id num_cluster_sametime
{txt} 17{com}.                                         qui duplicates drop
{txt} 18{com}.                                         
.                                         gen file = "`lvl'"
{txt} 19{com}.                                         order file, first
{txt} 20{com}.                                         
.                                         tempfile data`z'
{txt} 21{com}.                                         sa "`data`z''"
{txt} 22{com}.                                         
.                                         {c )-}
{txt} 23{com}.                                         
.                                         {c )-}
{txt} 24{com}.                                         
.                 * We work on the enumerator
.                 
.                 use "$cleanloc/`lvl'", clear
{txt} 25{com}.                 
.                 cap gen enum_id_mn = .
{txt} 26{com}.                 cap gen enum_id_wm = .
{txt} 27{com}.                 
.                 keep id01_cluster supervisor_id enumerator_hha enum_id_mn enum_id_wm start_time_hha
{txt} 28{com}.                 
.                 replace enumerator_hha = enum_id_mn if !missing(enum_id_mn) & missing(enumerator_hha)
{txt} 29{com}.                 replace enumerator_hha = enum_id_wm if !missing(enum_id_wm) & missing(enumerator_hha)
{txt} 30{com}.                 
.                 qui fre supervisor_id
{txt} 31{com}.                 
.                 if `r(r_valid)' != 0 {c -(}
{txt} 32{com}.                 
.                         qui fre start_time_hha 
{txt} 33{com}.                         
.                                 if `r(r_valid)' != 0 {c -(}
{txt} 34{com}.                 
.                                         qui fre enumerator_hha
{txt} 35{com}.                                                 
.                                                 if `r(r_valid)' != 0 {c -(}
{txt} 36{com}.                                                 
.                                                         local z2 = `z2' + 1
{txt} 37{com}.                                                 
.                                                         qui byso id01_cluster supervisor_id enumerator_hha: egen last_day_enum = max(start_time_hha)
{txt} 38{com}.                                                         qui byso id01_cluster supervisor_id: egen last_day_team = max(start_time_hha)
{txt} 39{com}.                                                         
.                                                         qui gen diff = last_day_team - last_day_enum
{txt} 40{com}.                                                         
.                                                         qui gen fired_1day = (diff >= 2)
{txt} 41{com}.                                                         qui replace fired_1day = . if missing(diff)
{txt} 42{com}.                                                         
.                                                         qui gen fired_2days = (diff >= 3)
{txt} 43{com}.                                                         qui replace fired_2days = . if missing(diff)
{txt} 44{com}.                                                         
.                                                         qui gen fired_3days = (diff >= 4)
{txt} 45{com}.                                                         qui replace fired_3days = . if missing(diff)
{txt} 46{com}.                                                         
.                                                         byso enumerator_hha: egen max_date = max(start_time_hha)
{txt} 47{com}.                                                         keep if max_date == start_time_hha
{txt} 48{com}.                                                 
.                                                         qui keep enumerator_hha fired_1day fired_2days fired_3days
{txt} 49{com}.                                                         qui duplicates drop
{txt} 50{com}.                                                         
.                                                         duplicates drop
{txt} 51{com}.                                                         
.                                                         qui sum fired_1day
{txt} 52{com}.                                                         qui gen pct_fired_1day = `r(mean)'
{txt} 53{com}.                                                         
.                                                         qui sum fired_2days
{txt} 54{com}.                                                         qui gen pct_fired_2days = `r(mean)'
{txt} 55{com}.                                                         
.                                                         qui sum fired_3days
{txt} 56{com}.                                                         qui gen pct_fired_3days = `r(mean)'
{txt} 57{com}.                                                         
.                                                         gen file = "`lvl'"
{txt} 58{com}.                                                         order file, first
{txt} 59{com}.                                                         
.                                                         tempfile sdata`z'
{txt} 60{com}.                                                         sa "`sdata`z''"
{txt} 61{com}.                                         
.                                                         {c )-}
{txt} 62{com}.                                                         
.                                                 {c )-}
{txt} 63{com}.                                         
.                                         {c )-}
{txt} 64{com}.                         
.                                 {c )-}
{txt}(0 real changes made)
(0 real changes made)
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.000009 saved
(0 real changes made)
(0 real changes made)
(72,877 observations deleted)

{p 0 4}{txt}Duplicates in terms of {txt} all variables{p_end}

(0 observations are duplicates)
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.00000a saved
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.00000b saved
(0 real changes made)
(0 real changes made)
(30,730 observations deleted)

{p 0 4}{txt}Duplicates in terms of {txt} all variables{p_end}

(0 observations are duplicates)
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.00000c saved
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.00000d saved
(0 real changes made)
(0 real changes made)
(53,243 observations deleted)

{p 0 4}{txt}Duplicates in terms of {txt} all variables{p_end}

(0 observations are duplicates)
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.00000e saved
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.00000f saved
(0 real changes made)
(0 real changes made)
(25,773 observations deleted)

{p 0 4}{txt}Duplicates in terms of {txt} all variables{p_end}

(0 observations are duplicates)
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.00000g saved
(0 real changes made)
(0 real changes made)
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.00000h saved
(0 real changes made)
(0 real changes made)
(23,099 observations deleted)

{p 0 4}{txt}Duplicates in terms of {txt} all variables{p_end}

(0 observations are duplicates)
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.00000i saved
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.00000j saved
(0 real changes made)
(0 real changes made)
(27,355 observations deleted)

{p 0 4}{txt}Duplicates in terms of {txt} all variables{p_end}

(0 observations are duplicates)
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.00000k saved
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.00000l saved
(0 real changes made)
(0 real changes made)
(30,147 observations deleted)

{p 0 4}{txt}Duplicates in terms of {txt} all variables{p_end}

(0 observations are duplicates)
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.00000m saved
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.00000n saved
(0 real changes made)
(0 real changes made)
(42,144 observations deleted)

{p 0 4}{txt}Duplicates in terms of {txt} all variables{p_end}

(0 observations are duplicates)
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.00000o saved
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.00000p saved
(0 real changes made)
(0 real changes made)
(77,515 observations deleted)

{p 0 4}{txt}Duplicates in terms of {txt} all variables{p_end}

(0 observations are duplicates)
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.00000q saved
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.00000r saved
(0 real changes made)
(0 real changes made)
(27,156 observations deleted)

{p 0 4}{txt}Duplicates in terms of {txt} all variables{p_end}

(0 observations are duplicates)
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.00000s saved
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.00000t saved
(0 real changes made)
(0 real changes made)
(29,736 observations deleted)

{p 0 4}{txt}Duplicates in terms of {txt} all variables{p_end}

(0 observations are duplicates)
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.00000u saved
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.00000v saved
(0 real changes made)
(0 real changes made)
(85,862 observations deleted)

{p 0 4}{txt}Duplicates in terms of {txt} all variables{p_end}

(0 observations are duplicates)
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.00000w saved
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.00000x saved
(0 real changes made)
(0 real changes made)
(85,985 observations deleted)

{p 0 4}{txt}Duplicates in terms of {txt} all variables{p_end}

(0 observations are duplicates)
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.000010 saved
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.000011 saved
(0 real changes made)
(0 real changes made)
(73,683 observations deleted)

{p 0 4}{txt}Duplicates in terms of {txt} all variables{p_end}

(0 observations are duplicates)
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.000012 saved
(0 real changes made)
(0 real changes made)
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.000013 saved
(0 real changes made)
(0 real changes made)
(31,508 observations deleted)

{p 0 4}{txt}Duplicates in terms of {txt} all variables{p_end}

(0 observations are duplicates)
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.000014 saved
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.000015 saved
(0 real changes made)
(0 real changes made)
(59,558 observations deleted)

{p 0 4}{txt}Duplicates in terms of {txt} all variables{p_end}

(0 observations are duplicates)
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.000016 saved
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.000017 saved
(0 real changes made)
(0 real changes made)
(80,286 observations deleted)

{p 0 4}{txt}Duplicates in terms of {txt} all variables{p_end}

(0 observations are duplicates)
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.000018 saved
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.000019 saved
(0 real changes made)
(0 real changes made)
(82,460 observations deleted)

{p 0 4}{txt}Duplicates in terms of {txt} all variables{p_end}

(0 observations are duplicates)
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.00001a saved
(4 real changes made)
(0 real changes made)
(0 real changes made)
(0 real changes made)
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.00001b saved
(0 real changes made)
(0 real changes made)
(55,182 observations deleted)

{p 0 4}{txt}Duplicates in terms of {txt} all variables{p_end}

(0 observations are duplicates)
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.00001c saved
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.00001d saved
(0 real changes made)
(0 real changes made)
(52,797 observations deleted)

{p 0 4}{txt}Duplicates in terms of {txt} all variables{p_end}

(0 observations are duplicates)
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.00001e saved
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.00001f saved
(0 real changes made)
(0 real changes made)
(82,792 observations deleted)

{p 0 4}{txt}Duplicates in terms of {txt} all variables{p_end}

(0 observations are duplicates)
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.00001g saved
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.00001h saved
(0 real changes made)
(0 real changes made)
(53,382 observations deleted)

{p 0 4}{txt}Duplicates in terms of {txt} all variables{p_end}

(0 observations are duplicates)
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.00001i saved
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.00001j saved
(0 real changes made)
(0 real changes made)
(79,996 observations deleted)

{p 0 4}{txt}Duplicates in terms of {txt} all variables{p_end}

(0 observations are duplicates)
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.00001k saved
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.00001l saved
(0 real changes made)
(0 real changes made)
(76,286 observations deleted)

{p 0 4}{txt}Duplicates in terms of {txt} all variables{p_end}

(0 observations are duplicates)
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.00001m saved
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.00001n saved
(0 real changes made)
(0 real changes made)
(55,147 observations deleted)

{p 0 4}{txt}Duplicates in terms of {txt} all variables{p_end}

(0 observations are duplicates)
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.00001o saved
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.00001p saved
(0 real changes made)
(0 real changes made)
(27,564 observations deleted)

{p 0 4}{txt}Duplicates in terms of {txt} all variables{p_end}

(0 observations are duplicates)
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.00001q saved
(0 real changes made)
(0 real changes made)
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.00001r saved
(0 real changes made)
(0 real changes made)
(12,749 observations deleted)

{p 0 4}{txt}Duplicates in terms of {txt} all variables{p_end}

(0 observations are duplicates)
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.00001s saved
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.00001t saved
(0 real changes made)
(0 real changes made)
(50,089 observations deleted)

{p 0 4}{txt}Duplicates in terms of {txt} all variables{p_end}

(0 observations are duplicates)
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.00001u saved
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.00001v saved
(0 real changes made)
(0 real changes made)
(66,994 observations deleted)

{p 0 4}{txt}Duplicates in terms of {txt} all variables{p_end}

(0 observations are duplicates)
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.00001w saved
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.00001x saved
(3 real changes made)
(2 real changes made)
(26,129 observations deleted)

{p 0 4}{txt}Duplicates in terms of {txt} all variables{p_end}

(0 observations are duplicates)
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.000020 saved
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.000021 saved
(0 real changes made)
(0 real changes made)
(51,292 observations deleted)

{p 0 4}{txt}Duplicates in terms of {txt} all variables{p_end}

(0 observations are duplicates)
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.000022 saved
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.000023 saved
(1 real change made)
(1 real change made)
(71,693 observations deleted)

{p 0 4}{txt}Duplicates in terms of {txt} all variables{p_end}

(0 observations are duplicates)
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.000024 saved
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.000025 saved
(0 real changes made)
(0 real changes made)
(60,022 observations deleted)

{p 0 4}{txt}Duplicates in terms of {txt} all variables{p_end}

(0 observations are duplicates)
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.000026 saved
(0 real changes made)
(0 real changes made)
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.000027 saved
(0 real changes made)
(0 real changes made)
(88,850 observations deleted)

{p 0 4}{txt}Duplicates in terms of {txt} all variables{p_end}

(0 observations are duplicates)
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.000028 saved
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.000029 saved
(0 real changes made)
(0 real changes made)
(30,333 observations deleted)

{p 0 4}{txt}Duplicates in terms of {txt} all variables{p_end}

(0 observations are duplicates)
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.00002a saved
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.00002b saved
(0 real changes made)
(0 real changes made)
(50,568 observations deleted)

{p 0 4}{txt}Duplicates in terms of {txt} all variables{p_end}

(0 observations are duplicates)
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.00002c saved
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.00002d saved
(0 real changes made)
(0 real changes made)
(13,970 observations deleted)

{p 0 4}{txt}Duplicates in terms of {txt} all variables{p_end}

(0 observations are duplicates)
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.00002e saved
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.00002f saved
(0 real changes made)
(0 real changes made)
(23,882 observations deleted)

{p 0 4}{txt}Duplicates in terms of {txt} all variables{p_end}

(0 observations are duplicates)
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.00002g saved
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.00002h saved
(0 real changes made)
(0 real changes made)
(109,908 observations deleted)

{p 0 4}{txt}Duplicates in terms of {txt} all variables{p_end}

(0 observations are duplicates)
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.00002i saved
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.00002j saved
(0 real changes made)
(0 real changes made)
(67,146 observations deleted)

{p 0 4}{txt}Duplicates in terms of {txt} all variables{p_end}

(0 observations are duplicates)
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.00002k saved
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.00002l saved
(0 real changes made)
(0 real changes made)
(65,894 observations deleted)

{p 0 4}{txt}Duplicates in terms of {txt} all variables{p_end}

(0 observations are duplicates)
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.00002m saved
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.00002n saved
(0 real changes made)
(3 real changes made)
(31,941 observations deleted)

{p 0 4}{txt}Duplicates in terms of {txt} all variables{p_end}

(0 observations are duplicates)
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.00002o saved
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.00002p saved
(0 real changes made)
(0 real changes made)
(40,869 observations deleted)

{p 0 4}{txt}Duplicates in terms of {txt} all variables{p_end}

(0 observations are duplicates)
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.00002q saved
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.00002r saved
(0 real changes made)
(0 real changes made)
(45,681 observations deleted)

{p 0 4}{txt}Duplicates in terms of {txt} all variables{p_end}

(0 observations are duplicates)
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.00002s saved
(0 real changes made)
(0 real changes made)
(0 real changes made)
(0 real changes made)
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.00002t saved
(0 real changes made)
(0 real changes made)
(45,858 observations deleted)

{p 0 4}{txt}Duplicates in terms of {txt} all variables{p_end}

(0 observations are duplicates)
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.00002u saved
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.00002v saved
(0 real changes made)
(0 real changes made)
(43,295 observations deleted)

{p 0 4}{txt}Duplicates in terms of {txt} all variables{p_end}

(0 observations are duplicates)
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.00002w saved
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.00002x saved
(0 real changes made)
(0 real changes made)
(33,807 observations deleted)

{p 0 4}{txt}Duplicates in terms of {txt} all variables{p_end}

(0 observations are duplicates)
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.000030 saved
(0 real changes made)
(0 real changes made)
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.000031 saved
(0 real changes made)
(0 real changes made)
(44,199 observations deleted)

{p 0 4}{txt}Duplicates in terms of {txt} all variables{p_end}

(0 observations are duplicates)
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.000032 saved
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.000033 saved
(0 real changes made)
(0 real changes made)
(48,154 observations deleted)

{p 0 4}{txt}Duplicates in terms of {txt} all variables{p_end}

(0 observations are duplicates)
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.000034 saved
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.000035 saved
(0 real changes made)
(0 real changes made)
(51,721 observations deleted)

{p 0 4}{txt}Duplicates in terms of {txt} all variables{p_end}

(0 observations are duplicates)
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.000036 saved
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.000037 saved
(0 real changes made)
(0 real changes made)
(54,700 observations deleted)

{p 0 4}{txt}Duplicates in terms of {txt} all variables{p_end}

(0 observations are duplicates)
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.000038 saved
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.000039 saved
(0 real changes made)
(0 real changes made)
(101,765 observations deleted)

{p 0 4}{txt}Duplicates in terms of {txt} all variables{p_end}

(0 observations are duplicates)
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.00003a saved
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.00003b saved
(0 real changes made)
(0 real changes made)
(99,913 observations deleted)

{p 0 4}{txt}Duplicates in terms of {txt} all variables{p_end}

(0 observations are duplicates)
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.00003c saved
(0 real changes made)
(0 real changes made)
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.00003d saved
(0 real changes made)
(0 real changes made)
(46,883 observations deleted)

{p 0 4}{txt}Duplicates in terms of {txt} all variables{p_end}

(0 observations are duplicates)
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.00003e saved
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.00003f saved
(0 real changes made)
(0 real changes made)
(46,551 observations deleted)

{p 0 4}{txt}Duplicates in terms of {txt} all variables{p_end}

(0 observations are duplicates)
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.00003g saved
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.00003h saved
(0 real changes made)
(0 real changes made)
(59,193 observations deleted)

{p 0 4}{txt}Duplicates in terms of {txt} all variables{p_end}

(0 observations are duplicates)
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.00003i saved
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.00003j saved
(0 real changes made)
(0 real changes made)
(148,729 observations deleted)

{p 0 4}{txt}Duplicates in terms of {txt} all variables{p_end}

(0 observations are duplicates)
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.00003k saved
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.00003l saved
(0 real changes made)
(0 real changes made)
(178,205 observations deleted)

{p 0 4}{txt}Duplicates in terms of {txt} all variables{p_end}

(0 observations are duplicates)
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.00003m saved
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.00003n saved
(0 real changes made)
(0 real changes made)
(184,887 observations deleted)

{p 0 4}{txt}Duplicates in terms of {txt} all variables{p_end}

(0 observations are duplicates)
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.00003o saved
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.00003p saved
(0 real changes made)
(0 real changes made)
(188,971 observations deleted)

{p 0 4}{txt}Duplicates in terms of {txt} all variables{p_end}

(0 observations are duplicates)
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.00003q saved
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.00003r saved
(0 real changes made)
(0 real changes made)
(532,904 observations deleted)

{p 0 4}{txt}Duplicates in terms of {txt} all variables{p_end}

(0 observations are duplicates)
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.00003s saved
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.00003t saved
(0 real changes made)
(0 real changes made)
(2,865,726 observations deleted)

{p 0 4}{txt}Duplicates in terms of {txt} all variables{p_end}

(0 observations are duplicates)
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.00003u saved
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.00003v saved
(1,108 real changes made)
(1,322 real changes made)
(2,810,651 observations deleted)

{p 0 4}{txt}Duplicates in terms of {txt} all variables{p_end}

(0 observations are duplicates)
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.00003w saved
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.00003x saved
(0 real changes made)
(0 real changes made)
(91,509 observations deleted)

{p 0 4}{txt}Duplicates in terms of {txt} all variables{p_end}

(0 observations are duplicates)
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.000040 saved
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.000041 saved
(0 real changes made)
(0 real changes made)
(19,699 observations deleted)

{p 0 4}{txt}Duplicates in terms of {txt} all variables{p_end}

(0 observations are duplicates)
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.000042 saved
(0 real changes made)
(0 real changes made)
(0 real changes made)
(0 real changes made)
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.000043 saved
(0 real changes made)
(0 real changes made)
(36,953 observations deleted)

{p 0 4}{txt}Duplicates in terms of {txt} all variables{p_end}

(0 observations are duplicates)
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.000044 saved
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.000045 saved
(0 real changes made)
(0 real changes made)
(37,788 observations deleted)

{p 0 4}{txt}Duplicates in terms of {txt} all variables{p_end}

(0 observations are duplicates)
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.000046 saved
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.000047 saved
(0 real changes made)
(0 real changes made)
(152,400 observations deleted)

{p 0 4}{txt}Duplicates in terms of {txt} all variables{p_end}

(0 observations are duplicates)
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.000048 saved
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.000049 saved
(0 real changes made)
(0 real changes made)
(154,563 observations deleted)

{p 0 4}{txt}Duplicates in terms of {txt} all variables{p_end}

(0 observations are duplicates)
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.00004a saved
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.00004b saved
(0 real changes made)
(0 real changes made)
(35,374 observations deleted)

{p 0 4}{txt}Duplicates in terms of {txt} all variables{p_end}

(0 observations are duplicates)
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.00004c saved
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.00004d saved
(0 real changes made)
(0 real changes made)
(72,265 observations deleted)

{p 0 4}{txt}Duplicates in terms of {txt} all variables{p_end}

(0 observations are duplicates)
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.00004e saved
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.00004f saved
(0 real changes made)
(0 real changes made)
(76,057 observations deleted)

{p 0 4}{txt}Duplicates in terms of {txt} all variables{p_end}

(0 observations are duplicates)
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.00004g saved
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.00004h saved
(0 real changes made)
(0 real changes made)
(73,429 observations deleted)

{p 0 4}{txt}Duplicates in terms of {txt} all variables{p_end}

(0 observations are duplicates)
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.00004i saved
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.00004j saved
(0 real changes made)
(0 real changes made)
(84,322 observations deleted)

{p 0 4}{txt}Duplicates in terms of {txt} all variables{p_end}

(0 observations are duplicates)
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.00004k saved
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.00004l saved
(0 real changes made)
(0 real changes made)
(47,577 observations deleted)

{p 0 4}{txt}Duplicates in terms of {txt} all variables{p_end}

(0 observations are duplicates)
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.00004m saved
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.00004n saved
(0 real changes made)
(0 real changes made)
(41,126 observations deleted)

{p 0 4}{txt}Duplicates in terms of {txt} all variables{p_end}

(0 observations are duplicates)
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.00004o saved
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.00004p saved
(0 real changes made)
(0 real changes made)
(39,902 observations deleted)

{p 0 4}{txt}Duplicates in terms of {txt} all variables{p_end}

(0 observations are duplicates)
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.00004q saved
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.00004r saved
(0 real changes made)
(0 real changes made)
(43,616 observations deleted)

{p 0 4}{txt}Duplicates in terms of {txt} all variables{p_end}

(0 observations are duplicates)
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.00004s saved
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.00004t saved
(0 real changes made)
(0 real changes made)
(39,580 observations deleted)

{p 0 4}{txt}Duplicates in terms of {txt} all variables{p_end}

(0 observations are duplicates)
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.00004u saved
(0 real changes made)
(0 real changes made)
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.00004v saved
(0 real changes made)
(0 real changes made)
(31,479 observations deleted)

{p 0 4}{txt}Duplicates in terms of {txt} all variables{p_end}

(0 observations are duplicates)
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.00004w saved
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.00004x saved
(0 real changes made)
(0 real changes made)
(37,780 observations deleted)

{p 0 4}{txt}Duplicates in terms of {txt} all variables{p_end}

(0 observations are duplicates)
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.000050 saved
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.000051 saved
(0 real changes made)
(0 real changes made)
(84,508 observations deleted)

{p 0 4}{txt}Duplicates in terms of {txt} all variables{p_end}

(0 observations are duplicates)
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.000052 saved
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.000053 saved
(0 real changes made)
(0 real changes made)
(89,038 observations deleted)

{p 0 4}{txt}Duplicates in terms of {txt} all variables{p_end}

(0 observations are duplicates)
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.000054 saved
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.000055 saved
(0 real changes made)
(0 real changes made)
(41,071 observations deleted)

{p 0 4}{txt}Duplicates in terms of {txt} all variables{p_end}

(0 observations are duplicates)
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.000056 saved
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.000057 saved
(0 real changes made)
(0 real changes made)
(49,512 observations deleted)

{p 0 4}{txt}Duplicates in terms of {txt} all variables{p_end}

(0 observations are duplicates)
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.000058 saved
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.000059 saved
(2 real changes made)
(6 real changes made)
(65,183 observations deleted)

{p 0 4}{txt}Duplicates in terms of {txt} all variables{p_end}

(0 observations are duplicates)
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.00005a saved
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.00005b saved
(4 real changes made)
(17 real changes made)
(71,917 observations deleted)

{p 0 4}{txt}Duplicates in terms of {txt} all variables{p_end}

(0 observations are duplicates)
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.00005c saved
(0 real changes made)
(0 real changes made)
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.00005d saved
(0 real changes made)
(0 real changes made)
(52,690 observations deleted)

{p 0 4}{txt}Duplicates in terms of {txt} all variables{p_end}

(0 observations are duplicates)
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.00005e saved
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.00005f saved
(2 real changes made)
(1 real change made)
(54,345 observations deleted)

{p 0 4}{txt}Duplicates in terms of {txt} all variables{p_end}

(0 observations are duplicates)
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.00005g saved
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.00005h saved
(0 real changes made)
(0 real changes made)
(43,620 observations deleted)

{p 0 4}{txt}Duplicates in terms of {txt} all variables{p_end}

(0 observations are duplicates)
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.00005i saved
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.00005j saved
(0 real changes made)
(0 real changes made)
(62,422 observations deleted)

{p 0 4}{txt}Duplicates in terms of {txt} all variables{p_end}

(0 observations are duplicates)
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.00005k saved
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.00005l saved
(0 real changes made)
(0 real changes made)
(61,862 observations deleted)

{p 0 4}{txt}Duplicates in terms of {txt} all variables{p_end}

(0 observations are duplicates)
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.00005m saved
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.00005n saved
(0 real changes made)
(0 real changes made)
(72,895 observations deleted)

{p 0 4}{txt}Duplicates in terms of {txt} all variables{p_end}

(0 observations are duplicates)
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.00005o saved
(0 real changes made)
(0 real changes made)
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.00005p saved
(0 real changes made)
(0 real changes made)
(62,506 observations deleted)

{p 0 4}{txt}Duplicates in terms of {txt} all variables{p_end}

(0 observations are duplicates)
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.00005q saved
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.00005r saved
(2 real changes made)
(1 real change made)
(59,406 observations deleted)

{p 0 4}{txt}Duplicates in terms of {txt} all variables{p_end}

(0 observations are duplicates)
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.00005s saved
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.00005t saved
(0 real changes made)
(0 real changes made)
(116,149 observations deleted)

{p 0 4}{txt}Duplicates in terms of {txt} all variables{p_end}

(0 observations are duplicates)
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.00005u saved
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.00005v saved
(0 real changes made)
(0 real changes made)
(117,621 observations deleted)

{p 0 4}{txt}Duplicates in terms of {txt} all variables{p_end}

(0 observations are duplicates)
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.00005w saved
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.00005x saved
(0 real changes made)
(0 real changes made)
(30,636 observations deleted)

{p 0 4}{txt}Duplicates in terms of {txt} all variables{p_end}

(0 observations are duplicates)
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.000060 saved
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.000061 saved
(0 real changes made)
(0 real changes made)
(41,613 observations deleted)

{p 0 4}{txt}Duplicates in terms of {txt} all variables{p_end}

(0 observations are duplicates)
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.000062 saved
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.000063 saved
(0 real changes made)
(0 real changes made)
(40,806 observations deleted)

{p 0 4}{txt}Duplicates in terms of {txt} all variables{p_end}

(0 observations are duplicates)
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.000064 saved
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.000065 saved
(0 real changes made)
(0 real changes made)
(36,089 observations deleted)

{p 0 4}{txt}Duplicates in terms of {txt} all variables{p_end}

(0 observations are duplicates)
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.000066 saved
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.000067 saved
(0 real changes made)
(0 real changes made)
(46,531 observations deleted)

{p 0 4}{txt}Duplicates in terms of {txt} all variables{p_end}

(0 observations are duplicates)
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.000068 saved
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.000069 saved
(0 real changes made)
(0 real changes made)
(62,977 observations deleted)

{p 0 4}{txt}Duplicates in terms of {txt} all variables{p_end}

(0 observations are duplicates)
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.00006a saved
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.00006b saved
(0 real changes made)
(0 real changes made)
(35,088 observations deleted)

{p 0 4}{txt}Duplicates in terms of {txt} all variables{p_end}

(0 observations are duplicates)
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.00006c saved
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.00006d saved
(8 real changes made)
(12 real changes made)
(156,719 observations deleted)

{p 0 4}{txt}Duplicates in terms of {txt} all variables{p_end}

(0 observations are duplicates)
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.00006e saved
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.00006f saved
(0 real changes made)
(0 real changes made)
(175,716 observations deleted)

{p 0 4}{txt}Duplicates in terms of {txt} all variables{p_end}

(0 observations are duplicates)
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.00006g saved
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.00006h saved
(0 real changes made)
(0 real changes made)
(185,293 observations deleted)

{p 0 4}{txt}Duplicates in terms of {txt} all variables{p_end}

(0 observations are duplicates)
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.00006i saved
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.00006j saved
(7 real changes made)
(21 real changes made)
(63,850 observations deleted)

{p 0 4}{txt}Duplicates in terms of {txt} all variables{p_end}

(0 observations are duplicates)
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.00006k saved
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.00006l saved
(0 real changes made)
(0 real changes made)
(46,747 observations deleted)

{p 0 4}{txt}Duplicates in terms of {txt} all variables{p_end}

(0 observations are duplicates)
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.00006m saved
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.00006n saved
(0 real changes made)
(0 real changes made)
(43,178 observations deleted)

{p 0 4}{txt}Duplicates in terms of {txt} all variables{p_end}

(0 observations are duplicates)
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.00006o saved
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.00006p saved
(0 real changes made)
(0 real changes made)
(49,179 observations deleted)

{p 0 4}{txt}Duplicates in terms of {txt} all variables{p_end}

(0 observations are duplicates)
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.00006q saved
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.00006r saved
(0 real changes made)
(0 real changes made)
(48,614 observations deleted)

{p 0 4}{txt}Duplicates in terms of {txt} all variables{p_end}

(0 observations are duplicates)
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.00006s saved
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.00006t saved
(0 real changes made)
(0 real changes made)
(56,479 observations deleted)

{p 0 4}{txt}Duplicates in terms of {txt} all variables{p_end}

(0 observations are duplicates)
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.00006u saved
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.00006v saved
(0 real changes made)
(0 real changes made)
(92,517 observations deleted)

{p 0 4}{txt}Duplicates in terms of {txt} all variables{p_end}

(0 observations are duplicates)
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.00006w saved
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.00006x saved
(0 real changes made)
(0 real changes made)
(65,766 observations deleted)

{p 0 4}{txt}Duplicates in terms of {txt} all variables{p_end}

(0 observations are duplicates)
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.000070 saved
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.000071 saved
(8 real changes made)
(7 real changes made)
(139,229 observations deleted)

{p 0 4}{txt}Duplicates in terms of {txt} all variables{p_end}

(0 observations are duplicates)
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.000072 saved
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.000073 saved
(1 real change made)
(2 real changes made)
(61,566 observations deleted)

{p 0 4}{txt}Duplicates in terms of {txt} all variables{p_end}

(0 observations are duplicates)
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.000074 saved
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.000075 saved
(61 real changes made)
(520 real changes made)
(78,697 observations deleted)

{p 0 4}{txt}Duplicates in terms of {txt} all variables{p_end}

(0 observations are duplicates)
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.000076 saved
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.000077 saved
(0 real changes made)
(0 real changes made)
(44,726 observations deleted)

{p 0 4}{txt}Duplicates in terms of {txt} all variables{p_end}

(0 observations are duplicates)
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.000078 saved
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.000079 saved
(0 real changes made)
(0 real changes made)
(47,156 observations deleted)

{p 0 4}{txt}Duplicates in terms of {txt} all variables{p_end}

(0 observations are duplicates)
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.00007a saved
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.00007b saved
(0 real changes made)
(0 real changes made)
(55,785 observations deleted)

{p 0 4}{txt}Duplicates in terms of {txt} all variables{p_end}

(0 observations are duplicates)
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.00007c saved
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.00007d saved
(0 real changes made)
(0 real changes made)
(54,316 observations deleted)

{p 0 4}{txt}Duplicates in terms of {txt} all variables{p_end}

(0 observations are duplicates)
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.00007e saved
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.00007f saved
(0 real changes made)
(0 real changes made)
(55,323 observations deleted)

{p 0 4}{txt}Duplicates in terms of {txt} all variables{p_end}

(0 observations are duplicates)
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.00007g saved
(0 real changes made)
(0 real changes made)
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.00007h saved
(0 real changes made)
(0 real changes made)
(67,918 observations deleted)

{p 0 4}{txt}Duplicates in terms of {txt} all variables{p_end}

(0 observations are duplicates)
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.00007i saved
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.00007j saved
(0 real changes made)
(0 real changes made)
(76,349 observations deleted)

{p 0 4}{txt}Duplicates in terms of {txt} all variables{p_end}

(0 observations are duplicates)
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.00007k saved
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.00007l saved
(0 real changes made)
(0 real changes made)
(40,371 observations deleted)

{p 0 4}{txt}Duplicates in terms of {txt} all variables{p_end}

(0 observations are duplicates)
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.00007m saved
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.00007n saved
(0 real changes made)
(0 real changes made)
(41,719 observations deleted)

{p 0 4}{txt}Duplicates in terms of {txt} all variables{p_end}

(0 observations are duplicates)
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.00007o saved
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.00007p saved
(0 real changes made)
(0 real changes made)
(41,179 observations deleted)

{p 0 4}{txt}Duplicates in terms of {txt} all variables{p_end}

(0 observations are duplicates)
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.00007q saved
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.00007r saved
(0 real changes made)
(0 real changes made)
(78,461 observations deleted)

{p 0 4}{txt}Duplicates in terms of {txt} all variables{p_end}

(0 observations are duplicates)
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.00007s saved
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.00007t saved
(0 real changes made)
(0 real changes made)
(43,140 observations deleted)

{p 0 4}{txt}Duplicates in terms of {txt} all variables{p_end}

(0 observations are duplicates)
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.00007u saved
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.00007v saved
(0 real changes made)
(0 real changes made)
(40,634 observations deleted)

{p 0 4}{txt}Duplicates in terms of {txt} all variables{p_end}

(0 observations are duplicates)
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.00007w saved
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.00007x saved
(0 real changes made)
(0 real changes made)
(40,596 observations deleted)

{p 0 4}{txt}Duplicates in terms of {txt} all variables{p_end}

(0 observations are duplicates)
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.000080 saved
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.000081 saved
(0 real changes made)
(0 real changes made)
(73,521 observations deleted)

{p 0 4}{txt}Duplicates in terms of {txt} all variables{p_end}

(0 observations are duplicates)
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.000082 saved
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.000083 saved
(0 real changes made)
(0 real changes made)
(70,824 observations deleted)

{p 0 4}{txt}Duplicates in terms of {txt} all variables{p_end}

(0 observations are duplicates)
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.000084 saved
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.000085 saved
(0 real changes made)
(0 real changes made)
(36,396 observations deleted)

{p 0 4}{txt}Duplicates in terms of {txt} all variables{p_end}

(0 observations are duplicates)
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.000086 saved
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.000087 saved
(0 real changes made)
(0 real changes made)
(29,188 observations deleted)

{p 0 4}{txt}Duplicates in terms of {txt} all variables{p_end}

(0 observations are duplicates)
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.000088 saved
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.000089 saved
(0 real changes made)
(0 real changes made)
(97,613 observations deleted)

{p 0 4}{txt}Duplicates in terms of {txt} all variables{p_end}

(0 observations are duplicates)
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.00008a saved
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.00008b saved
(0 real changes made)
(0 real changes made)
(43,213 observations deleted)

{p 0 4}{txt}Duplicates in terms of {txt} all variables{p_end}

(0 observations are duplicates)
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.00008c saved
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.00008d saved
(0 real changes made)
(0 real changes made)
(45,703 observations deleted)

{p 0 4}{txt}Duplicates in terms of {txt} all variables{p_end}

(0 observations are duplicates)
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.00008e saved
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.00008f saved
(0 real changes made)
(0 real changes made)
(67,053 observations deleted)

{p 0 4}{txt}Duplicates in terms of {txt} all variables{p_end}

(0 observations are duplicates)
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.00008g saved
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.00008h saved
(0 real changes made)
(0 real changes made)
(60,261 observations deleted)

{p 0 4}{txt}Duplicates in terms of {txt} all variables{p_end}

(0 observations are duplicates)
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.00008i saved
(0 real changes made)
(0 real changes made)
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.00008j saved
(0 real changes made)
(0 real changes made)
(39,274 observations deleted)

{p 0 4}{txt}Duplicates in terms of {txt} all variables{p_end}

(0 observations are duplicates)
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.00008k saved
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.00008l saved
(0 real changes made)
(0 real changes made)
(49,200 observations deleted)

{p 0 4}{txt}Duplicates in terms of {txt} all variables{p_end}

(0 observations are duplicates)
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.00008m saved
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.00008n saved
(0 real changes made)
(0 real changes made)
(49,777 observations deleted)

{p 0 4}{txt}Duplicates in terms of {txt} all variables{p_end}

(0 observations are duplicates)
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.00008o saved
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.00008p saved
(0 real changes made)
(0 real changes made)
(63,800 observations deleted)

{p 0 4}{txt}Duplicates in terms of {txt} all variables{p_end}

(0 observations are duplicates)
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.00008q saved
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.00008r saved
(0 real changes made)
(0 real changes made)
(72,477 observations deleted)

{p 0 4}{txt}Duplicates in terms of {txt} all variables{p_end}

(0 observations are duplicates)
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.00008s saved
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.00008t saved
(0 real changes made)
(0 real changes made)
(35,189 observations deleted)

{p 0 4}{txt}Duplicates in terms of {txt} all variables{p_end}

(0 observations are duplicates)
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.00008u saved
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.00008v saved
(0 real changes made)
(0 real changes made)
(37,439 observations deleted)

{p 0 4}{txt}Duplicates in terms of {txt} all variables{p_end}

(0 observations are duplicates)
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.00008w saved
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.00008x saved
(0 real changes made)
(0 real changes made)
(44,841 observations deleted)

{p 0 4}{txt}Duplicates in terms of {txt} all variables{p_end}

(0 observations are duplicates)
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.000090 saved
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.000091 saved
(0 real changes made)
(0 real changes made)
(44,200 observations deleted)

{p 0 4}{txt}Duplicates in terms of {txt} all variables{p_end}

(0 observations are duplicates)
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.000092 saved
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.000093 saved
(0 real changes made)
(0 real changes made)
(90,090 observations deleted)

{p 0 4}{txt}Duplicates in terms of {txt} all variables{p_end}

(0 observations are duplicates)
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.000094 saved
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.000095 saved
(0 real changes made)
(0 real changes made)
(33,540 observations deleted)

{p 0 4}{txt}Duplicates in terms of {txt} all variables{p_end}

(0 observations are duplicates)
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.000096 saved
(0 real changes made)
(0 real changes made)
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.000097 saved
(0 real changes made)
(0 real changes made)
(38,340 observations deleted)

{p 0 4}{txt}Duplicates in terms of {txt} all variables{p_end}

(0 observations are duplicates)
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.000098 saved
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.000099 saved
(0 real changes made)
(0 real changes made)
(39,041 observations deleted)

{p 0 4}{txt}Duplicates in terms of {txt} all variables{p_end}

(0 observations are duplicates)
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.00009a saved
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.00009b saved
(0 real changes made)
(0 real changes made)
(37,408 observations deleted)

{p 0 4}{txt}Duplicates in terms of {txt} all variables{p_end}

(0 observations are duplicates)
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.00009c saved
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.00009d saved
(0 real changes made)
(0 real changes made)
(29,665 observations deleted)

{p 0 4}{txt}Duplicates in terms of {txt} all variables{p_end}

(0 observations are duplicates)
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.00009e saved
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.00009f saved
(0 real changes made)
(0 real changes made)
(27,977 observations deleted)

{p 0 4}{txt}Duplicates in terms of {txt} all variables{p_end}

(0 observations are duplicates)
file /var/folders/54/fr21ch652418rqflsh_2y5vm0000gn/T//S_44938.00009g saved

{com}.                         
.                 use "`data1'", clear
{txt}
{com}.                 
.                 forvalues x = 2/`z' {c -(}
{txt}  2{com}.                 
.                         append using "`data`x''"
{txt}  3{com}.                         
.                         {c )-}
{txt}
{com}.                         
.                 export excel using "$comploc/supervisor_data.xlsx", sheet("by_cluster") replace first(var)
{res}{txt}file /Users/fredericcochinard/Dropbox/Age bunching/Data/compiled//supervisor_data.xlsx saved

{com}.                 
.                 use "`sdata1'", clear
{txt}
{com}.                 
.                 forvalues x = 2/`z2' {c -(}
{txt}  2{com}.                 
.                         append using "`sdata`x''"
{txt}  3{com}.                         
.                         {c )-}
{txt}
{com}.                         
.                 export excel using "$comploc/supervisor_data.xlsx", sheet("fired_ratio") sheetmod first(var)
{res}{txt}file /Users/fredericcochinard/Dropbox/Age bunching/Data/compiled//supervisor_data.xlsx saved

{com}.                 
. 
{txt}end of do-file

{com}. 